From 4412f60f02f530f0adde3ca1558d6693b8f88aca Mon Sep 17 00:00:00 2001
From: Uwe Schmitt <uwe.schmitt@id.ethz.ch>
Date: Tue, 27 Nov 2018 18:13:04 +0100
Subject: [PATCH] updates, mainly script 02

---
 01_introduction.ipynb     |   40 +-
 02_classification.ipynb   | 1491 +++++++++++++++++++++++++++++++++++++
 2d_points.csv             |  201 +++++
 classifier_examples.ipynb |  694 +++++++++++++++++
 cluster-image.png         |  Bin 0 -> 51982 bytes
 create_datasets.py.ipynb  |  163 +++-
 decision_boundaries.ipynb |   92 +++
 nonlin-pca.png            |  Bin 0 -> 28192 bytes
 xor.csv                   |  501 +++++++++++++
 9 files changed, 3158 insertions(+), 24 deletions(-)
 create mode 100644 02_classification.ipynb
 create mode 100644 2d_points.csv
 create mode 100644 classifier_examples.ipynb
 create mode 100644 cluster-image.png
 create mode 100644 nonlin-pca.png
 create mode 100644 xor.csv

diff --git a/01_introduction.ipynb b/01_introduction.ipynb
index 4fbfa67..6c7a651 100644
--- a/01_introduction.ipynb
+++ b/01_introduction.ipynb
@@ -503,7 +503,7 @@
     "In unsupervised learning, in which the training data consists of samples without any corresponding target values, one tries to find structure in data. Some common applications are\n",
     "\n",
     "- Clustering: find groups in data.\n",
-    "- Density estimation: find a probability distribution in your data.\n",
+    "- Density estimation, novelty detection: find a probability distribution in your data.\n",
     "- Dimension reduction (e.g. PCA): find latent structures in your data.\n",
     "\n",
     "Examples for unsupervised learning:\n",
@@ -659,24 +659,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 159,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAygAAALECAYAAADjBRS8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzsnXmYFNXV/7+19b7OPqPCmyhxl5gEjAsSFMTAKMoMsiqggIIYFHFQwAUEEdwV0dfXKIgiRpYYlDcKiri9UUwMmvxcSIwsztIzPb1NT69V9fujp2q6uqu6e7ZmZrif5/F5pKe6q7rr1L333PM951CiKIogEAgEAoFAIBAIhF4AfawvgEAgEAgEAoFAIBAkiINCIBAIBAKBQCAQeg3EQSEQCAQCgUAgEAi9BuKgEAgEAoFAIBAIhF4DcVAIBAKBQCAQCARCr4E4KAQCgUAgEAgEAqHXQBwUAoFAIBAIBAKB0GsgDgqBQCAQCAQCgUDoNRAHhUAgEAgEAoFAIPQaiINCIBAIBAKBQCAQeg3EQSEQCAQCgUAgEAi9hn7loMTjcRw9ehTxePxYXwqBkBFiq4S+ALFTQl+B2CqB0L/oVw5KfX09Lr30UtTX1x/rSyEQMkJsldAXIHZK6CsQWyUQ+hf9ykEhEAgEAoFAIBAIfRvioBAIBAKBQCAQCIReA3FQCAQCgUAgEAgEQq+h1zoo7733HsaPH4/LL78cK1euPNaXQyAQCAQCgUAgEPJAr3RQjhw5gnvvvRfr16/Hzp078f/+3//Dvn37jvVlEQgEAoFAIBAIhB6GPdYXoMbu3bsxZswYlJWVAQAee+wx6PV6xTF+vx9+v1/xGqneQeiNEFttRxQF8EEfRD4OimHBmO2gqF65T3Lc0dftlNjW8UNft9VcIPZMON7plQ7KoUOHwHEcbrjhBjQ2NmLEiBG49dZbFcds3LgR69atO0ZXSCDkDrHVBKIoIOo6jIbXH0Tc1wjWXozSCXdCVzKATLy9gL5sp8S2ji/6sq3mArFnAgGgRFEUj/VFpLJs2TJ88cUX2LRpE0wmE+bNm4fKykqMHz9ePkZrB2Xq1Kl49913ceKJJ+b7sgkEVYitJoi3eFC74S7EfY3ya6y9GBUzVoO1OI/hlRGAvm2nxLaOL/qyreYCsWcCoZdGUIqKinD++eejoKAAAHDppZfiyy+/VDgoNpsNNpvtWF0igZAzxFYTiHxcMeECQNzXCJEnnZ97A33ZToltHV/0ZVvNBWLPBEIvTZIfMWIEPvroI/j9fvA8jw8//BBnnnnmsb4sAoHQBSiGBWsvVrzG2otBMcp9ElEUEG/xIOZrRLzFA1EU8nmZhF5AR20gV9siEPoCnbFnMm4S+hu90kEZPHgwZs2ahSlTpmDMmDGoqKhAVVXVsb4sAoHQBRizHaUT7pQnXklXzZjt8jGS9rp2w104su4m1G64C1HXYTLZHkd0xgZysS0Coa/QUXsm4yahP9Jrt5eqq6tRXV19rC+DQCB0ExRFQ1cyABUzVmtWpuGDPjkxFEjIGhpef5Bor48jOmMDudgWgdBX6Kg9k3GT0B/ptQ4KgUDof1AUnXHCJNprQmdtIJttEQh9iY7YMxk3Cf0Rsr1EIBB6DfnIJSBa7d5Nf84nIbZH6Any9cwQ+yXkE+KgEAiEXkNP5xIQrXbvp7/mkxDbI/QU+XhmiP0S8k3f35IiEAj9hp7OJSBa7d5Pf80nIbZH6Cny8cwQ+yXkG+KgEAiEXkVP5hIQrXbfoD/mkxDbI/QkPf3MEPsl5Ju+vSVFIBAIHaA/5zcQejfE9gh9GWK/hHxDHBQCgdAr6YmEzP6a30DIH521S2J7hN5ER+2Y2C8h3xDXl0Ag9DqkhExJ8yxNhrqSAV3SVffX/AZCfuiKXRLbI/QWOmPHxH4J+YZYFoFA6HVoJWTyQV+XP1vSanP2YrAWJ5lgCTnTVbsktkfoDXTWjon9EvIJsS4CgdDrIAmZhN4IsUtCf4DYMaEvQCReBEIvRBBE+IIRxOICOJaG3awHTVPH+rI6jCgK4IO+DksCpITM5EmUJGQSjjUdtctMz3Fnnw1C5+gPY2p32QwZXwl9AWKNBEIvQxBEHKr3Y+ULn8LlCaHEacSy68/DwDJbn5pQO6pzVky+rA6lE+5Mey9JyCSoka/FvpQonItdZnqOKUrskRwrgjr9YUztzry8THZMHGdCb4E4KARCL8MXjMgTKQC4PCGsfOFTPLzgYjithmN8dbnTkcZeqpPv5LtJQiYhKz1VUEGNjiQKZ3qOrVSINL3LI/1hTO3ORoladgyAOM6EXgOxOAKhlxGLC/JEKuHyhBCLd67Mbk+U683pvB3QOatOvq/eDwAkIZOQkZ4sqKBGLonCoijAwAexYuqpWH392ThtgANA+3NMcgDyS3ePqankY4ztbptRs+N8P0sEQiZIBIVA6GVwLI0Sp1ExoZY4jeDYji/Q87m7nEpHdM5kwUboLL3NdqRnrrHtmbPZi1FzxUKs3Qk0ByLgWBoURXIA8kl3jqmp5GuMzUfeSG97lgjHN2RLkkDoZdjNeiy7/jyUOI0AIOul7WZ9hz/rWO6IdaSxVz67FB+riBKhZ8jVdvJ139WeudCuRzFr9ED5OSZN7/JLd46pqeRrjM2HzeTyLJHxk5AvyHYNgdDLoGkKA8tseHjBxV2uOHMsd8TUdM60yaqagNmR5OOucCwjSoSeIRfbke57874tsA0eAcZkhxiLgLEXgaa7dxrUeub+q9QEzi4lZVOk6V0e6c4xNZV8jbG55D91NcE927NExk9CPiEOCoHQC6FpqluSN491OUlJ5wxkn9zysWDrzkRTQu8gF9vhgz4079sCx5AxaHxrfbv9VS+GrnRgXqQ4DMcpFsTJzwah5+muMTWVfI6xmWymO5yHbM8SGT8J+YS4vARCP0ZLFkCbrHkP00uLxMJRM1E+bQUKR81E874tshQiH12Kica6f5LNdkQ+DtvgEbJzArQtrrau6ZNSHImelNsQKY86qb8LbbL2yP3u6O/fXVKzTM8SGT8J+YREUAiEfoRaMzI1mVWs8Wjew/SiKKbtYBePnQdRFHvsnKkc64gS4dhAMSwYk73XSHG6g56U2xApT4LU8dRm4hBvOpL2u3DFJ3br/e7M758P54GMn4R8kpeRZvPmzWmvPffcc/k4NYFw3CA1I1v0xAe4YeVuLHriAxyq90MUKcWOmNAaODaJ84KQtoPd+NZ6QMjfzixJTj4+Ycx2MBZH3gox5CMa2JPJ2aTcrPp4GvZ5VH8XoTXQrfe7M79/PgqNkPGTkE961O199dVXEQ6HsWHDBkQiEfn1WCyGTZs2Yc6cOT15egLhuCLXZmTdsdPWuWRMUfW8QNciKB25lnztbhOODVq2QFE0GHsRSqsXo2Hrmn7RPZuPxVSfJz4W6/LETqQ86uOpP9Cal98l2++vZq8dKTTSWXsn4ychn/Sog8KyLL777juEw2F899138usMw+Duu+/uyVMTCP0SNQmXlHibazOyrobpOyv/6Al5QGeuhSQn90+y2QJNs9CVDuwz3bMzPesAIFCM6vMkUEyXz90fpTzZfs9U1MZTd0sctjz8Lpl+/0x2novz0FX5Hhk/CfmiR0ffCRMmYPXq1Vi1ahVWr14t/7dy5UpcdtllPXlqAqHfoSXhEoREBEJqRpaMWjMy1TB99WKIotijyZg9IQ8gUhSCRC620Fe6Z2d71gEgyplhHrtQ8TxZr1gEmmG6nNje36Q8ufyeqaiNp2985kJJ9eKUsbMGoOhuLSKQ6ffPZK+5SAt7o70TCGrkZTtk8ODBWLduHbxer+L1ZcuW5eP0BEK/IJuES2pGJh2j1YwsNUwPgUfT7g0IHdzftWTMWBSiKKju2ElyAsZsR8XMNRDj0e5JJtW8lgjiLR4iP+jFdLesqrOypN4oZwqEIoj6PVgx9VR4Wnls3HNEftYdFh34oA8mPo5YQRFaxiyFnhIQF2kYTRQaNt7Z5UhQf5Py5Cp/TUZtPJ0y+nRwxZbE7xINI9pci6b/fQ580NstUTdBiIMPeAEhDtpoUR0ru2qvnXl/X5RAEvo+eXFQbrvtNlitVpxxxhmgqK43RiIQ+jtqcoRsEq6ONCOTdtriLR7Ubrq7Q3XtteQHUfdRCNGQYpLu6WpAmtfiOgT37hd7hVSHkE5P2EVnZUn5ljNlkxqJogBdoA7GPWsQ8TXCZi9GzRULsXZnHURB5XerXoxWYynMCKNh05Ju61HRn6Q8sbgAp9WAWePOhtXEIdAaw7b3DqbJX5PJNJ7GAdRtXq6wma72AxGEOGINh9GwbW37va2qAVc6QNFMtKv22tH3k4puhGNFXqzL7XbjmWeewS233IL58+fL/xEIhHS05Ah6LruES2pGVuI0wWk1gKLEjLX0O7ObpiY/KB47D94PX0+TCmjJCaJ+b0Z5Ra5oXssnO4h0Ic8IgghPIAyXpxWeQDjj/e0JmUlnZUn5lDPlIjXigz40tiXyA4nfJrTrUcwaPTDhhKT8bq6ta2BjIqDBgzE7UFpdg/JpK1BaXQPG7DiuEtu10HM0rht7Op5/4yvctf5jPP/GV7hu7OnQc5mXQFrjqRiLoHDUTOgrBsnHdjXqxge8snMifV7DtrWJiEoS2ew123PYUXsnkjDCsSIvEZSKigq0trbCZDLl43QEQp9GS47w0O8uxvI556PeHYRBxyIcjaOs0Jwm4ZLItvOVcFYoVFy3CnyrD95PdiBSezDrbpwoUghbylA+bQXivkYI4RY0v78ZkdqDib8nTdJaDhAfi0DwuMDpdV2SCyikKLEIoq5Dims51lKd4wVp4Z0qLxxYZlON4GVyjD2BcM6JzMl0RZbEmO0on7ocoGlQrA6Mydoju8PeluxSI63fZkCJETR49d9NFAGaQdHls9Gw7aH2PkOV80Gxum7/Hn0NXgCe2PKF4nd/YssXeOh3F+f8GWrjafHYeWh+P9FGwTFsAiAIqtLSnBL0BfX7DkE5fmnZOYDEZlQkCldjCM+/fQjNgUjac9jR56Q3SiAJxwd5cVBKSkpw1VVXYejQoTAY2vWeJAeFQEhHS8oV5wXE4gKe2falYhGohdbOV/G0VYhyZhha6tMmW+/+XSgYPklzNy15IXrb1afAtvepjFIBLTmB6K1F/WsPKJwm6ZozTZrJGm3QLBirAzTNynI19+4X+1Xlob5CRzX+mtI8nsKipz5Ic3IoSsxJA58sS8pFN6/lxDMmq+r37GglqNT3hiNxuDwhnDbAgekjT4LTxMDTykNM6gWk9dtwOp38/8l/Mw4aAiHoQ7ylGe4//4+yz9Cb61AxY3VO19fV79ebiWcYUyWyfXe18bTxrfUoGjMXFM2g8c11qhtBOTvvtPp9B50+fqXK71Lt2Ggvxv0Ta9AUM2Lj219jXvXPFc9hR56T/ljRjdA3yIvE64QTTsCVV16JsrIyOBwO+T8CgZAOy6hLuWgKqotAty+kGs7X2vlq9rSg/ki9+mQ7elZGbXHyQnTjniMwjlmYUSqgKsGqnA/vh6/L55XkAlHXYdRuuAtH1t2E2g13Ieo6rJCkSRrtuk3LcGT9zajbtAyxhsMQ2nYYtaQLtMmaUeZG6Dq5lriWULtXJdWL8fgb/0qz70AoktU2UpEWbNne0xH5SmKR24q6piD+fdSHp1//e9ZKUKIoyLYXC3jgawnh12eVouaKctj2rkVk80LY9q6FKdQgX1smCY7a34pGzUDD1jWgOUOXdro7U+mqr0DTUB1TKQAuTyua/WHUNrVk/O5a4ynnLJWdE+m1ZBvSct59wYjisxirA6VVNcr7XlUDxpp9raRmx66ta1FiEjF3VJnCAU4ml+dE1R4nJ9pEkDGV0JPkxQWeP38+wuEwDh06hEGDBiEajSoiKQQCoR2GBhZMOleWJJQ4jVgw6VxQFKW6CGz0hrB43Uc478xSzBp3NmiKAsfRsGrsfHlaeThNDCJqcgKIGaUtsbiAAqset119CpwmBv44Bfx2KU4s0IPhONVdasbiRPm0+xGLx0HRNJrfeEyWYEnnFWNR1YVictKplka7/NqVoO1F7dKFtso3EARQOgNijUdJgmcPI5VkTbZPtRLXEmoyEz+vx1/+8aXiOJcnBF0smNU2JOTdYFFEPOBG8RW3QAi3wPvJDtX35CpfEQQRDc0BtDR7YNdTYDgRE0f+DK/8+WvcPEG5O518DULQp2wMWXk7Flz1MzS/siRlMblGvrZsEhzpb3wsBoFiIIi8LLXsyk53Zypd9RUoilIdU0VRxA2r9sj/dloNcHlCad9dEEQIUO87A5rJaEOpY6ZUlS3VeadpFlzpAJRfuzItQpxMcsQDoBLeV1y9aafQ6oc+EgRrtQFIl9hrOegVM9cAoiDbH1d8Yrs9sjrwLR7UvnoXGVMJPUperOnAgQMYOXIkbrzxRrhcLgwfPhx/+9vf8nFqQicR4tEu/Z3QeSIxAXs/P4J7Z52PZxdfgntnnY+9nycmNLVdQF9LFKcOcOKKYSdj6TMf44ZViR3AhlYmbefLOGYhNu45Ak8rL78ukctiRq+jceeV7bu/3NsPwEGHENbZ0uruy7tzLy7GkadvQtOW5aBEAXxQmfSZcZJvKxcsikJGjXbyDh7f4kHdprtxZP08ROr+RRI884BUklWyT60S18mk9WygNSKHokbeRYoTIdlb467/Bt/igfvP/4O6l++Be/eLKPjNFNWEcUm+kozacxAIRWAINsC450FENi+Ecc+DOIH14rarToaBD8r2l7wjHa09KDsn0jW3vPkIGFF9MZlzmViRwhE/jXlP/x3X3P8RfmhoBWsvhveTHSgeO6/Tyf4djYL1JWJx9TE1Ekt8NyknpeqS9qR36btLkaWHt3+nGjGmWF1GG0odM2171+LOK8uh16Uvv2iaBWcvAucsA2cvUnVOkiMedZuWId50FHF/k+o1CLEIaM4AGrzq76LmoDNmB/iAWxFViTUeBWO2g7MXA6JAxlRCXshLBGXNmjXYsGEDFi1ahLKyMqxduxarVq3Ctm3b8nF6QiegWR2+X1Wl+fefLiX3rqfQczRG/OokLH/+/xS7fQY9k1aX/3cTz8WmXV/jurGnIxrjcdvkX8glNO957i949LaL5d3WHxpa8dTOQ/jmsBcb9wB3XrkQwbceVeyCSXIoLT2yWQyhtu09QGJyCr71aJvOXbnLqrY753l3I0qrFyt2lUvGL4IgxGEcNAShg/vl96eWC6YNFvUdTIpG3N8M1lYgn5MxO1A4aiY4ZxlJ8MwDHSlxnYq0I2wR4nhy3i/w+Bv/gtcfwazRAzGg2AiapnOKDEj3vnDUTLjaEsWBdvli4eWz094jyVfSclBSFvW6WBC+FLtv2r4WhaNmojGpnHWyzdMGi6rtsZSoauvStWUrbpEa6Xj+7UPys9z8/mYUXj4buoIKUDpDhwpQdDQK1pcw6BnVMTUYjsnHuDwhWE2c/G/puyf/3l5/BNNH1qDQwqLAYUGYNQGCkDamJdtQR8bMbPBBH5r3bUHhqJmgDZZEdHD/LtiHVqKk6g7Z7uUCCToDBD6muvEkFUmRni19xSA4LrgaXOEJiHkbwJgdiPsa0yKWJGmekC/y4qCEw2Gccsop8r+HDx+Oxx57LB+nJhD6HJkqziQvAikA/70jIYkx6jmFfEFyXCJRAXanE4gLsAshzLzSCl9LFO/uP4SwuUwhI6FN1qxyqEyTU6pjo3Zs6OB+0L+dg7LJ90Bo9YNv9cHz0VY4hlaiaPQNqHP9kFYhR54gb3gI5VPuAx/0gm/1wX9gL5zDJsDz4esIH/qqzcGyoahyPmi9Ea5tD6Fw1MxOyV5IY7KOI5VkTSaXnh+pi/HbqxcDLAfXlpWo8zXCOGgISqtqlP0hVJxpURTTHANp0SU5t3RK8nuuFY20ojiMxYnCUTMhRsOIB5ohJklttCRXUfePcA67BgAUzVGlBS3fGsgoT0uNdHxz2IsH/wSsmL4KLCV02l5zbfTaFxE0xtRbrvm5fEyJ04hwNC7/v/Tdm3wh+X3fHPbirhe8OHWAE3Orz8GWd/6OOcMLEP3+/1A2cSlAM4mx1OrMaczsKKIowjFkDBrfWq8YJym9ASLPo/Dy2aA5Q6Ky4t6XwQe9KJ+2PM3hlp675n1bUDx2Hlr+/QWsZ1wI1/aHwZgdcAybgOIrb0Hc1wTPvlcRqT0oX2+uSfNkDCV0lbw4KCzLwufzyU0av//++6zvue666+B2u8GyiUtcsWIFBg8e3KPXSSD0BuK8dsWZ5EWgIIiYevnpcPtCeHDjZ4rJ98nXvsDcqnPAsYkqMkdcAcXCY+nMoSgtsIBN2h2Nt3iyav21JicIvNzwMXnBpXVs/asrFK/HXD+g/Nr7NcsFM2YHeF8jGrYmLVKrawCGg/lnv0Ks6Qia921BwcXXQIxH4GpLWpVkL8kTejbZC2lM1j3kUr1IPbl3DQovny2/Fjq4H81AQpsPUduZrl6cqGjV5hgwZgcKfjMl7d6n3sdcGhIyHKdqy7TBDNeO9ihk2eR75OPUbE9yuvmgN/F9Rt+g7BIuCuADbrkaV/J7pAWiWqSjORBBmDF3KVekK1Gw3o7WmKrjGADtDkmBTY/fLxul+O5qv/eky36GB178DLddfQrin/8BjiFjUP/aKoUt0qUDQVF091bBEgTZnoD26GDZxKUQ4kE0vPZA+nsoOm3ckpxgx3lXAAwH+y9Go37zfarPjFTdEUjMEbTJmjXqSMZQQneQFwflpptuwrRp09DU1ISFCxfi448/xooVKzSPF0UR33//Pd5//33ZQSEQjhdylVpICwqjnlWdfCuKLLCb9arJr6te/EzZe6EtITJ51zZSe1CRB5JcRSh1Ydi0e4NqoqXaRAZB0MglEcDanYgHfaBMNhRf+TtAFBD3u0ExrOycyOfYmpDYuHe/iOKx8yCKIhq2rkXxFbfIx0VqDyZkL6NmQlcyEBSnz7qTp5k4KkkcyM5gTmRLuhZFAWIsqmoLNKdcaIcO7gdG35DQwEPDmd66BuXTlqPpnRdRcvXtoPVG1G9ZmVNyvRbt9zqG8in3oWnPhvaoR3UN3O9uUny++92XUDJ+EVzbH0ak9iC8+3dp9wsS4qBoRnE+PuhLs/NUeZrNxOHJeb+AP9AKd0scb3zmwpTRp3dLpEMtCtYf0BpTix3GNIckldTI0q/PKsUZZRxWTD0VTpseMFemV/Haugbl194vO9O5yAhzQ9SMxtAma+6RjYAb/r/thm3wCHDFAyAEvYj7GhOSRTUHaPI9cG1/BHzQi9IJdyqT5lXGQDUpWvO+LSgec2POzx6BkJfV/yWXXIKTTz4ZH3/8MQRBwLx58xSSr1S+//57UBSF2bNnw+1245prrsG0adPycakEwjGnI1ILmqag1zGqk69Bz4KmqazJr2q7XSXjFwFUYqKJ+ZrQ9OY6eQcsVRIjiqJCTw+0TZrxqKp8hg/61CdSTpeYPMMtoPj2KAtrL0bZlHvUF7Jtcp7Gt9ajfOp98kIw+fMjtQfh3v1izgtTTUlGLIJ40Ac+aXFMdga1yWR3ks3FA271KBuA0uoaeXHjP7BXsdDScmwgAkW/nQMh6IUQaumUtCZTFa6S8YvgHFYN3u+GCCrN7kMH98M5rLp9YRYLQwCFxp3p/YJi7h/RkNILSMv2dAUVCdmkKCDedATuNvuztUniuGJLv4h09BRaY2qh3Zj1d0uOLImCAFOoAa5XlibykOzFKK26Q87XkIj7GhH3utC486mMC/qObnZoRWNogwl8uBVlk+9GzFMP74evy85EqiPEB31o/uAPslRM2pRKfI563pQQbpEd61ycfC0pmigmlW0mGz2ELOTFGpYsWYKBAwdiypQpmDZtGk455RTccsstmsf7/X6cf/75ePrpp7FhwwZs2bIFH3/8cdoxR48eVfxXX1/f01+F0EYuVbxIpa8EHbVVmqZwUokVD958EZ67ayQevPkinFRi1ZxItSooOSwJh0baPUwmOSKjKrPZ/jB4f0JqQlEUGLNDrtQiSWJYWyEAQIxHUTpxCfQV7RVwpJ27tEpNFK3ZG4WPtCakB576tB3JWHOdepWacIt8jCgI3VLNSKuyU9R1qF9XBevuMTWT3Uk25/3w9bR7VXLVbaCMNrh3v9hehWvYNQiKeviCYcRbPABFqd4jUBSiDf9Bw9a14Ft96scIvGbfhmxVuKTnomHrWvA+l+rnS1GQxp1PgbUWIq6zoqhqsXyscdAQlE2+B4zRitLqGuWzpVVVTGcARdGakjghxz4/giDCEwir9k3qS/T0mKr2fqfVABsTgSvFJhq2PZToIp8Eay8GY7IlorkBN4RQMG0cTK46F63/HnFPA2JeFwKt2veFMdtRWr1YOXZecQv41gBcW9fg6LO/g/vP/4Oi385Bxcw1qhsnIh+HbfAI2XmQNgCKx86DEAur2h+tM8rje075MxpSNAjp1e5y7W1EOP7o0QjKvffei4aGBvz1r39Fc3Oz/Ho8Hs+Yh3Luuefi3HPPBQCYTCZUV1dj3759uPDCC+VjNm7ciHXr1vXcxRMykq3KF0AqfUl01FbVckYkfXQklq4Nz6YdzxaR0dq1laMTO59C4aiZaNi6Vp6Y1KIuxZXz5cTMTA4BRdGJ5GK1hM5r71dtOOf98PX0KjVt2nygrbt2oFnW/HelmpGajE06V8El13Zbwmtvo7vH1Ex2xwcCiV1mX6MswZMS2WNeF5r+uCplEbgWsdFL4GDDqH3rURRVzkdx5XxF9+7iyvmIBdyy/WjlgDTt3qApNcmlChdtsAAA/Af2qldvsjhx0vxn5V1hPUWD1w9A6bUPABCBkE8RHUzOMWFthRnlQFrPKu9vQu1LSzNG9HLuaN4H6K4xVfru2Yo5SGSKcEmRjUSk7Q64976ikAMyJquqDCo10lA0vgZ1bBHKi9IdKIqiQZvtCumUKIpo3P5wmvy1YsZq1TGPYlgwJrt8vPeTHSj4zRS5Glhp1R1oSBpnS8YvgnvvKyj4zRQ5fyp7/oy6FA0Q5e+ea28jwvFLjzoo1dXVOHjwIL799luMHj1afp1hGNkBUePzzz9HLBbD+eefDyARLkzNRZk+fTquvvpqxWv19fWYOnVZ7OEaAAAgAElEQVRqN34DAqHrdNRWtbT7c6vOwfLnP0WJ04jlc86HycAhGuMTMi9Oe1LN5sBoyQaSoxOMxanQM6tNMI1vrkPx5OWgWQ46myOjQyDGo+oJnYIg7+IlXw8f9EKIhNqqcpWANpjBh4NwXHA1/Af2wnH+VYlFHE2jfOpyAKJmvomWtCD5dcbiVE3Y72ozvN5Md4+pmexOSLK5SO1BNGxdC9ZenGi6ybCqi5tyB4em1x5A3NeIlq/2wXbeFe1ObiwM2mJH086n4bjgarD2Yjn/qKhyPlhbISgAMa8LQtCr6lAKgohYpF06pnWvpdcLhk9Sle4AkO2ID/oAioYYj4JhdRDjMdRlyDGhKBps0UkJZ6atWR9rabfP5LKwydfEt/rkz9Na6PWnRozdNaY+vOBi2M162XFzWg2YdNnPUFFkgUHPwmFRjqlaY2U80IzCUTPBmOxgrAVoeucFWf6X7DCkNglNjmRIxzZtX4vQyDvhM+pU7wtFUXDvflF+j5TjlEymTRPGbIcYiyiev+b3N8MxbAJYiwMCH0f5tBWAKCRsl2EhBL1ofGs9isYtACeVGm7LS9RygrSkm1Llvf660UPoPnp0Vj377LNx9tln44ILLkBZWVnO7wsEAnjyySexZcsWxGIx7NixA8uXL1ccY7PZYLPZuvuSCYRup6O2qqXdN+gSj6vTaoCvJYp7n1PW9C+wxVBRZFHuCMYEUFRisUjTFIpUNNeU0YbS6hpFhazU6AStN+W0kxtojcJqZeXE9o5OYBSnA+ssS98dv3IBmt/dCNrsQMGwa1D38j3tO8xVNaAsDghel1x+uGDYNeDaussno1Vdhis+UbXEMmO2KxYD3k92pF1b5xNeexc9MaZqJV0zZjtKJ9+NuKdedjBYZxkYqwMQ4uqLG5pC3Jfo12A9axg872+GbfAIUHoGusITQOlN4INeReQEACgA9ZuXKyMtYMAIouJZ8AUjcDWGYMxQhau0ejFosx0VM1a35YRQCIhGxAQBHE3DJoiINx1JiywGvtoH69nDQWk4X1KOiSCIONzQgpUvfK7Y6R9QakG8rVKdVmWw5M9TW+j1p0aMHR5TY9rfXXJenFYDrh1zOp587Yu0KAuQsA9R0KOkerEs85Ijx+9tknM0Kq5bpZ6Tp9IkNDmSkXzsSYV6MHEf4i2htDE0NcKrtqGTadOEomgw9iJF9I8PesFaChBq+AGGgnLF+FpcOR+Fl8+C//O3wXB61L1yX9b8O9UodOV8OdG+fOp9/Xajh9B95MUaDh8+jDvuuAM+n0+RJLVz507V40eMGIEDBw7gqquugiAImDJlSsaIC4HQn9CqOBNoTTQVq7pkEB7d/Ne0mv5zq86B2cgpdgST+6Ls/PDfmFF5JkwGDnE+saNtNepwxNWCEoMVhZfPBmO0gjaY4X43MeFKCyCKM4ArLJAnIi0Hw2Zi4Xp5afukVL0YUWs5rEblTmSmBnmM2Q7eYEH5tfcDggCK0wEUjZLxtwOgEt2TU+Q/hZfPhvfD1+EYNgGFl14LvsULPugHbS1Q/LZa0oLya1eqSw5SKpHxQS9oqzNr34zjjVwlMgriMUU53dIJd6ounlh7MYxjFqLOGwNnL4bjgqvlBbq0EGTtxaiYsVq+V7LEr+gkebEFtEf6xDFLYaNNCucpFhfw/NuHUHPFQoR2PSpX4Sqbeh+otv4WyfdaTTL15LxfwJ3UKFRKlHdcOB71m5dr9uWJURwYkdLc6X96/i/hkhakQW/7br3FiabdL8qLY+nz1BZ6/bkRYzZoGqrfnabaHbdZ486WnROg/bd/6HcXw9fS7sTccOXpGDh1FRgkoteu7Y8ofn8p9yk9eqB8HlIjGcnHir5a/NhWQCF1DE3r3cPqOlwljKJoMNYClE9bkejd429C8wevoWjUDNkBAdqfl8LLZ8Nx/ricq+IprjEWRdR9FM17X5Z/p6bdGzI2tyQQgDw5KCtWrEBVVRXOOOMMuRdKNm699VbceuutPXxlBELvQ027v2DSuXjpra8BAFYTpxlhSd4RTO2Lcss1P0ezP6yIvKyaeyFWvvApVs88C1aGg2vHo3KjrsJLr0Xc1wTv/l0oHnNjxl08STvteXejcnLbugahkXei2eZUaN0zSVkAgJUiNaIAvjUAMR4FQAFCe+RGXzEIzuGTE/IdVofiq2+D+50XFbpv0aKUmmlWfxI0JAcalciOd4ckGUEQUdvUgnp3EAYdi3A0jrJCsxzNU0PLUSyetgpRzgyzxZGQ6tE0YmDw2PbvYDPqMHvyvaAhonDUTLkUtvR+MRYFW3RCor+IEIfIxyHEIsqu223v0VNCWuSAY2k0ByJYu7MO00fWwGli4I+IMOkcsJvTo0Bqz5k/0Kref6UtGV4tKmMcsxCP/fFfmFdtkRfLpw1wYPrIk+A0MfC08oqIpSSJA4CKGavhGDIGsaQGp1oLvf7ciDEbFEVhwaRzFc1sF0w6FxRFgWMolDiNmuNqNMYrIiwPv/KFwiHlg17Fe/wH9sqlppOjXALS80nUnHEplw/QHkMVkTuBhq3opIxjlELWyurSKhGWVN0Bx0XVEEWolppnjNa06J/UBDW5DL1af6GYpyFNzhs6uB/06FlkXCVkJC8OCsdxmDlzZj5ORSD0eVK1+yxDozUcgycQBgCEo3HV3cBwNA6OpTWlHIV2I+77n/9TLKia/WG4PCG4vGHw/9yFojFzwdqLEG/1I+5rAs3p4bx0OpqjLIqSJDHJO2R8LAaBYkBR6uWGnVYdPH4PYsYIGI5DkDKCjwswURGAj0HgeTQGImAjrCIxVBQFRJvrIAQ88H72JhxDxkDgY4kKOWYHCi65Vi7fKk3szgurIAS98iIubXePpjXkQ4ym5CCXRn7HM4HWCJr9YTyz7UvF4s9q4mC3qOc2aEoEgxFwcQ9qdz6sWHDPrz4HumADXK8uVyz6pNwg1l6MWEszmHCLnOBrHDQEBRdfI0v0pPd49++CPyKiJCVykLyAv+uFr+QFvNWovoBXe87cLXH8ZNiEtLyChq1rUTZpmVy+uGjMXNCcHlG9A/e/+i2+OezF7KsS0adfn1WKOcMLENq1FhFfopQwM0VdEsO3eOA/sBdlk+8GRbOgOJ280BOEOPiAV94AYKyOftuIMRuxuICX3voas8adDauJQ6A1hpfe+hqLpv0SJU4Tll1/Hty+kHqUhaY0IyyPv/Ev3J4i+XJePBGBf3yQyH2yFgCSc6Cy+KZpFrrSgYlxNB4DDQp8yAfHBVcrHIQBxUb80xVCgU0Ps0GHJl9i7Pa1RPHu/kOYevnpGFjmaHNe2s4XiwI0DYrTgw80yw5J6cQlcuQSSNin58PX4byoGvWb70t7vvigN1EYgtXJNqivGJRTE9S2L6kRURLJuErISF7c1UGDBuHbb7/Nx6kIhH6BpN0vcZpQYDOgosiChxdcjN8vG4VBJznSygovmHQuygrNsJv1muVdpYk2GV9LFCVOIzbuOQL2V+PRtOsZeD/5I2iGQ9OuZ1D70lK4Xl0OxleHQCiieC9F0aBNDtSG9Ji/7q/411F/WolK46AhsFAhGPc8iB/Xz0XthrsgNB0FE/ZAbP4Rrs33ov65W0DtWgVTyKU4Bx/0ySWHpWRSqSytY9gERW8JSYrAh/xwXHC1/Fqa7pvVobhyvrJMZ+V8UJw+rfQxkRzkRiQmyDvTQLvkMBJTRiiSS9wKYFTLmZr0DAI7UyoSvf4gjHwLGlPKuza+tV5OiC8eOw+IRWXnBABsg0eoNj10XjodloKCtMhB8sbA75eNwsMLLs5Y4UrtOXvjMxe4ggpV50sItaDu5XvQ9OY6UDSDVsogOyeS1Mpu1uPWcacgtOtRxXW792xA0fg7lOWYxy8CYyuEbfAIuN/dlMjfaithKwhxxBoOo27TMhxZfzPqNi1DrOEwAF4eV5xWw3HhnACAjmPgCYTxwIbPcNf6j/HAhs/gCYSh4xj5vg86yYElM4emlWvXc7RmhOUv/2hAq7EUFTNW46T5z6JixmrEbOXgTh+eyH16dQWO/vcCNO58Cmj1qpbRlUqvI9KKupfvRu0LixOltX8zBfqKQWDtxQjzFJ7Z9iX8rVEcbvBj6TMfY/G6j/D8G1/hmpGnYu/nhxM5Msnle9fPQ92muxH3utC8b4tsT2pVEm2DR8gRHyDp+Ro2AcVj58H97kuAKMgljpNlltLxWuXWNcdcVte1m0ro9+QlgnLkyBFUVVWhoqICen37pKCVg0IgHO+oafqT9fJWkx4P/e5iRRUvqymxG6om5fjdxHPhawmn7RC+u/8Qls4cilff+QZ+0YgTpq0EAxF1L9+tmHyCbz2K4mmrACh3xJNlLhv3HJH1+/Ju4qXT5V1v6bMCOx9G2aRlqE/pdRLY+bDiHCIflydTqeRr3JcoS1t8xXzVRSDNGQAu8W8pMiJVjZG6OtNWp7L6k9UJxmgBY7QQyUEnEARRNWKX3MshNV/j12eVYmHVYjRuU+aZ0CnlSSUZCSXwqvebKzoRhaNmqpaA1ioTTDEMyp3qPTA60kld7TmbMvp0UJyQtdKWlAcjOSeS1IqmKeiY9N/ANngEGIM5IV+jaSAeRdPupK72Kc40H/CiYZvSOWvYtjZRJc1elPZd+nvTPIdFXd4m9YqiaQp2iwFWkz4twgRAjrD8+qxSjBtaAqeJQVigwVKAWWgBGC4hNaVomAURYZMFja+k96vRKqOrWhWxrbpbK21Fc4SFyxNCg7tVjlQCiedszUv7sXzOBRAEUbOnVeGomXJ0W606nVayPucohff/3oBt8AiIsQhEPobya+9P5K2oSWJVijMwJit4tTHXZO34jSQcV+TFQbntttvycRoCoV+QS78CmqZQYFNfSKVKxKi211iGSpukp15+Ok4qMeP235bC88ErwIVVEI0WVR0yLfJp50qVufh5A8on3gOWY1HnicHfqi7lAUWpOxht55BKqjJmO0onLkmUGk8qixlz/6heAjYWBvhEFaiSq29H3NOAxj89oZAhcMUngtGbVBdjRHLQcXQcoyqN0XGM/O/UfI2//KMBjwJY1JaD9ENDK57aeQh3T3XK99VyziVwXHAVhNZAokeIWnK5p17Ox0hdeGmVCWZYrlsiB2pllK1GHRqaW2AeuxDBt9oddbVKWyc49fj9slHQ62iYxRD4QBMEhgWVg5SGKz4RxWNuhMjfoO5QaORUQUh/hrUq26nKdfowHEtjbtU5cp6UWnEANQdVFAWcZBNwgpHGOeP+C+49GyAEvagYMQ2Nb67Djym/GU3T4Gj1PiDJC/hkpxCCoO5M2yvw3JuHcMmvEot5g45V3QzwByPQc0aIUN53ycHnik5CaXUNvJ/sQPC7z9N6StFmh3r5ZL8b1rOGKavGVc6HKPA5V+GiKBq6gnLNMZdA0CIvDsrQoUNx4MABfPjhh4jFYrjwwgsxdOjQfJyaoEI0xisWD4TeRXf0K0ieaKVoTCQmoMCWiLxIVbzsZj2EVi9cW9egqHI+xFgE9TseUdUhMxyXdh5J5lJg1aPminKEdj2AejkxeDFgsCGspj9OcjiAtol02ARQEBD2e4C2a5Kv48oFKLn6drjars1/YG9aQ7HiyvmgzXaIfByFo2ZCiLSiadczaTIE0gyse8m2Ow2kO7KnDnDikl8NRHNMB5YxwFRgQHPgOxzyiqgYuxDR/dth++Vo1L96v5xPUjL+Dri2P6RYRIPlZDtKtYnEv2vkSEJPyPZSF7SeQBj3PPcXFFj1cqK93aKHd++GtEpbDMeh2GxISHJSnIPSyXej4dX7NaU0mWxYFAWAUs+pAp2+KDwemub5ghG5OIhEidOYcUwVBBGBUAS6QJ0sL5TGRJGi5VLjQPpvpllGvW0Bn+oUlk5conr8EXcElRedjE27EgVStPIPfS1RFNmNsnRSy7ktvuIWMLZCCKEWlE1cCiEeAe93w/e3t9MT+yvnQwTSvmfjm+sSjVJTS3Bnac7bX2yJkD/y4qD88Y9/xGOPPYbLLrsMoiji9ttvxy233IJrrrkmH6cnpKDjGFxx+xsZj9n5yLg8XQ0hle7sV5BLNIZvS1hmrQVyh2tAKTNgrYWgTVaFXIox22WZS9TvQWhXuqShdPqDabvJ9nF3gKcZuZ8IY3agoG03UiuJs/FPT6B82gqUTbkHEEWAokHpjXIzRVEUEfe7IcYjqH1hMYCONzDrCv1dIpOJbI1AAWWJ21MHONP6TSya9ks8OP8i0BSFUFgPx4gZcL3WXu5UkqeUTVwK0EwiymBLlJAuv25lopJQqx8iRIWUBEZzXmV70rPr8oRw1wuJ6k6nDXBgxcSJqpW2MjkHUjUyVRuORRDzNYGxOkDTymmcD/rAR0Oq/VJAp29MHQ9N8zo6pkrjZtTvgXFPeu5T2eR7Mv5mtMmqWkY3eQxNvu/eD19P7/1UvRhBQzGe3f4Vvj3sQYnTiLJCM5bOHIpVL36WVkL+JxVn4+Ht32Fu5e1oefMRVee2cedTKLx8NhqkEsZj58lRcvuQMfKzAooCqISUUDWyQ1Fo3ru5vdy1rQisraBDz9bxPGYSciMvDsqGDRvw+uuvo6SkBAAwe/Zs3HDDDcRBIRBUyLVfQS69J3KJxki7fRDVZQa6whMAnQG8rylN964rGYCBZTbEjBH8qDaR8VEYCopgmrwcoiDAFxLA25x4dPuXmHTxCSiffB9Ymkb9K+0TvloSZ9zXCD7QjNqXlrbLXJylcoftqOswmt5cp+gzka+u78eLRCYT2XI3kvM1qi4ZlFYNafveg5hf+VMYWBEtwShoG5dmA6GD+yGcfxUYi0OxGGKtBYg214E1WhV9GoD2/ihcSkJ+T5EcUZTKBMfBgraYFX19pMWYpnMQDaMuQ9+UqOsQ3LtfRGlVDbjSAQonReTj4D118B/Yqyyx3FYuPJVsu/39gVzG1OTxlAKw8oVPsWLqqYioSeVE9TwjimEhigJijUfR/MFrSf1qHKBthXIz2JKqRWnlr5v3vpywEUDOl+NaA7jj6p9CGD8IIcoIhqFh0puwau6FchWvnR/+G1NGn4bn3/gKn/6zAV5/BDeNWQKuSKcuo+UM8v83vrUehaNmwr37RdS5w7AVF8Nu1cu/g52BppQ2UnswYYMT7uyUc3K8j5mE7OTFEgRBkJ0TACgtLQWtEmomEAjti7nUajLJVYekHb5FT3yAG1buxqInPsCher8iMRnIbedQ6mnCB32qlZXifjeiR79F3Sv3wTFkDPQVg+SdXj7oA01TYDhO9b0Cz8O9aQnqnp2HpteWw6mLAkjkINy6/m+Y+MCnaPSGFBOg5FikflZU78AJ855BxYzViomMomhwxSei/NqV0JX9VK40I3V97+nKXFq74GoVbY5XpCjL6psvwoBSi8ImTxvgwJzhBfC9dg9+XD8Pus9fAcvSqjbAWBxg7EVp/RZ0BeWgmHSnJt+RALtZjxVzfo07ryyHbe9a4P1nUEJ50LDhThxZdxPqXrlXYRfy5kASrL0Y0eZaxH3t3ewVFZDadr3jvkTiOx9Q9uGgGBb+A3vhGDImsfB8+Z5EVaiLJ6ravvT89+cKdtnG1NTxtNGbiIJ5WnnNMVFrbJHGg9DB/WjYuha1Ly1F3Sv3QWhJvM6YHYAI5b35zRTQZgcohgVnLwZjtiPWeBS1G+7Cj+vnovHlpeDdR7Hu9b/jaGMLiuxGlBeZcfKJdtw84eewW/T49J8NAIBvDntx67NfIMyrV8oTwi3yv+O+RjAmO4or58Oq4yEKgvw7PPTSftS7Qyitrkn7nvryU+SqZZ1xKsiYSciFvGyROBwO7NmzByNHjgQA7NmzB3Z7/xn8CITuhKYpnFRixYM3X4Q4L4JlqLSSoNkiI9JuoCCIuHfWedjyznf49rAHQPrOodTThG8NoLS6Ri7NKmmWm9/bJFdIknbcpGOkxV+ujRtdW9egZNoqxW6mp5VP9HowO+C44GowtsI0PbRxzEI89dYPmFf9czgt6UmsMU8D4p560JwBIk2jbMp9EEJ+CLGo3HOiMzKEXDgeJDIdRSu6p+doRKI81sy/CL6WKLa9dxDTR56I0K61sm7eeWEV4gF3WiJvafViUNaiNEmTJBUBgNKJS+D98HU53yPfkQCaplBq4lH7h4SksXDUzIy5CmrPTWl1DZr+9zkAiaaMze8npDS6koGIug7JvV+kz4OgtDPGbEfB8Elo3rdFsYOf6thJpHUm74dym2xjavJ4euoAJyxGHdbMvwg8z8PSJplKtkPabAdFM6q/mdZ4IMn1CkfNVC3pWz71PtkpVFvAh3Y9inEjalTzET2BRIXGc04pwtW/GQSGBqIsnV6s4coFEAUe5dNWQAi3wH9gL2iDGd6//Anm038NzmxAoz+Mn59ShElDLQi9dT+azA4UXj4buoIKUDpDt9gGGTMJuZCXkfvuu+/GvHnzcP/9ifAlx3F4+umn83FqAqHPIQgijrgCGfNGkiMjpw5wouqSQbCaOMRiAjyBMDz+sEKnLHWi9wTCWDpzqNyTQlo4UhQtd2+XNfzhFjS/twl80CvvusV9iZK/QNtuHBg0+8OI8wL0ljKUT1+NeCyKuEijJRxTbdzY0hLCXTOGYvWGxPW98ZkLt09cBjHolRdzxkFDEk4GKPzojmDTvlpMuuw02EycIg8mSBmh50MQAx45byU5wbP+lXvlc580/1lZEtad2ufjQSLTEdTynpbOHIqTSqxo9kfSyl+XGSPwt/12zhHTIMYiaGrLTSq8fDY4ZxmiIovNn7hQOSwCC+UDLcZBszowZqssm0m+94Gv9iUWXAUVbdcUl6uB9fQCPHnxpVXqWFqIqTkHoGhFd3JJSlN+7f1y00mJROK70s6kz0xU+crt+/b3JOZsY6o0nkr5Ucuf/z/5uDuv+xXMV96NEgsHkWYQpIxgKBpWo3qTS63xAHTidS2bECgaokiBorQX8CU2DrPGnY1whIcH7eO33azHqnkXIhCMytc+fvhPcc3wE2R5bUSgQDMxNGxZJT8rJePvQMs3f1FU6jLai3HD+Br4PvoD4r5EaXcpZ6VixmrtDvUdeK7ImEnIhbxYw6BBg7Bjxw40NDSA53nY7XaUlpbm49QEQp8jl7wRSVPttBrSEo6Xz7lAdk6k9z+x5QusvvkiCIIoa5WlSfqkEisCoShicQF6nR4Ga6FywZdUIlWSCLD2Ylgqb8cRP7B64weKhejmt/+DS4cMRAEXhVFlEqr3RfHHT7/BfbPPB0NTMOhZsHQIta+15w+EDu5HvesHlEy+F9bCQoz+tQ4lDgPiTUfkazMOGgLnpdPbFhgRMGaHPKE2vrkOZZPvUZxX0od3t/ZZdRe8n0lkOoK3Jd1+V734GVbPuyjt9Sdf+wLr5v8SrW12klyoIXlhVDJlOSYMOwFMuAGNSVW5yqfel94/4s11KJ96H+peae+KXVpVg+YP/5CWP9WZe54p90sQRER5qkN5UKnOgSgKqvZEWxzpVcmqasBYHYrrI8nH6WQbU6XxVC0/6sGXPsfKmy7Azes/UWz4FNhiqCiypDkpauOBpfJ2vPxBHSZVLYYQbFa1iR/qW6Fr9WNgmU1zAW8wGvD8xi9UnSyGovDgxv1weUI4bYADlWfp4d60RB4ri0bOQN3mVcqI9vaHUDZxKepfW5XYEJDyYlo9sA+tVGwwpUY4chlLtWyRjJmEXMiLg7Jr1y48/vjjeOedd/Cf//wHV111FVatWoVLLrkkH6cnEPoUueSNSJpqty+UNqH6gxHNxnlHXQFcNfwUXDpkILa9dxCv/PlrTBl9miLasmLOr9uruQg8mnYnSqRK8ga/aEBs9BJELAVY/ewnaQvRWePOxrb3DuLGq89KkxgYxyzEUzuP4JvDXlw1/BQ89urf8PCCi7VlEa0+GE0sygrN4OKt8oSmrxgEx5AxchPIZEdK6tsCMZGPk2vVpM7uIB8PEplcEQQR4Ug8raRw1SWDwAvqdu3n9SgavxhN29doFmpgKBG8+z9oTKnuxrd41QsqJL0u5WpIzeq6cs+1quJJTn4kysPjFzFwfA2atq+V86CSqzNlW4hlsieqdIBc3Qs0m1bFiyQfq5NtTJXG01CK7UrHeQKRtA2fuVXnwGzkVPqmUPByRbBPXAGOEhATaXjjOvzz+y/xw1llMDE6lIyvQeP2JClt1WLUxm1w+0IosOlhU1nAF46vweM7/63qZNnNesT59u84feRJsmwSSHSK54PqzwpoOlFJMbXfTtUd0FcMkuWExkFDAFCI+RrlSF+msTSbLZIxk5CNvDgozz77LF566SUAwE9+8hNs374d8+bNIw4KgaBCLhVnpKRjoz69cZevJar6flEU5S7EkryGooBVL34Gp9WAWePOhtXEoc7dCovJAbvdAFEUFA3h/LweazZ8jhmVZyASUHeE7BYdvj3swX/v+Aemjz0NJ09dBZ8/CHdLXHZOSpxGBFpj8iKB4tR3DEWIMDAAi1aIsfbFq2oJzaT8GNZeDEqnT8i6kvXhMfWymWIs2qV71t8lMrniC0ZQ29SiWlJ41rizVe0yLgBHYzaII+8ET+tU7SDud6tWd+NbfarHS13bJSRpotS4jjZYIPJxiKLQoUWR2k68mpN/36zzEBu9BAwropangdFLYGBFFDgt0NmdWc+pZU80zap2gpd/j+Ogp0lnyDamSuOp2xfS7DOSjMsTgkHHqpYpDrRG0NAcwhNb/q6IuFw39nTwAoX56z/HaQMccp8cTysPXnDg1sc/kKPQZoNOsYAXwMAv6PGXf3yVdh2xuABfMII4L8rX7jQxiupjtMGi+axQjA6OYRPS++1se0guSWwcNATOiyagbtMyRa6UFLWWSI6yZLNFMmYSspG3Kl5lZWXyv8vLyyEIHe/pQCAcD+RSxQtITKp6HSMfJ/Hu/kNYfN0QxfuXzhyK3//pH2nymiJ7u0zs+Te+wl3rP8Yz275Eky8MQeWspNwAACAASURBVBDlSYSzFycmFZrG9LFn4LFX/yY7QskkZGd6lDiN+PawB49v+TuOBCh4BDMe2/Ev2Tn53cRzse29gyhxGsEyNHiRSquKU1w5H4y1EHUv3426Z+dB8NbKf9fScdMGS0ISVL0YrLWg/bqlBSGtXh1KrYEdoePE4gK2vPMdfjfx3DTJzLb3DsqvAwlbWTJzKHwtYcQFERHWjEff+B6WytsVdlBSXYPm9zapVnfzH9grV22Tjx+/CP4DexXHsfZiiHwcBb+ZIldPqtt0N6Kuw4nGhh34fqlO+aVDBqZJKu97/lN44jrctO7vuHX933Drs1/gnle+RZgx9+guMUk+VieXMZWmKRTajWnHLZ05FO/uP6T4vBKnUbMbfSQm4IktX6RFXArtRrnR4jeHvbjrha9w07q/47Ed/0J9c1g+dtWLn8HtD0EUKXns1dsLwLLpY73kZMXiArbvPYg7pw9FidOYVn1M5OPwH9ibVhGupLoG3s93gXOWqdoNW3ACjNMeg/k3M+QmqdLfGrauhWPYBMV7kuWLxBYJXSUvEZSCggJs2bIF1dXVoCgKO3bsQFGR9i4QgXA8k0vjO4nk/hLSbt0Vw07GR38/ilVzLwRNU+BYGoIgymUoJVyeECiKwqTLfqaQiTmtBnj8YZgNHPQ6Rp7EfcEIYjEBRQ6jYsGZnP+y7PrzYDaymFt1Dgw6FoHWGP78yQ/47YX/hVsn/QLFBUbEYgKC4RgmXfYzlBWa0RqOIRLyQ9j7sqI3QPPel1E4coY8ySU3M9PS9ouWQvhH1MBiLIVBrWIRq0tviFY5HxSr67b7dzzDsTQ8gTA27foas8adnVZSmKKAFTdeAJoCGppbse+vRzDyvIGgKQqPv/oFqi4ZBA+jR8E1KxCLRGA0GUGzFPigVy65myxDKRg+qa3E9P2Ie12JykR/fRuOIWOUjRGrasDHI2h844kuRRfUduLtFp1qJLGs0Cwfq7XJ0N2Q5GN1ch1T1Y6zGnWYevnp+E+tPyUHxaB6PwVBVLUHigJ+UmHDkplD8UBKo0WpU7x0bCyWiIoky8fUxnrJpnzBCL78VxMAYPmc86HnaFiqF6OxrVEkOB0cQyvh/exNubIbbbJB4AwIfPonmH/6c1W7iQgM5jz5BZ6d/3NVZ0NXUCG/L1W+SGyR0FXyYikrVqzAwoUL5SpeZ555Jh555JF8nJpA6JNka3yXfFzyhEq1vTagbJBiApbKUKZKF/Q6BhVF7YtItS7fy64/DxxL497nEtVh7p11nhwhkRaidosORQ4jiuyJHb5Cu1GeSO+ddR7WbPwcTqsBMyoT0RdlUv03uOq8EtiCXjRsXStfX6pUJ1J7EM17X0bZ5HsgRFvTShFbKm9HnTeGQgsLM8IQRUPabjVjsoK3OhXdxmmrE4zJ2ul7RWgneRH1wIbPZFuRonTSznKJ04g7pw/Fr84ow55PD+GKYSfDEwjjgQ2fyZ9V4jRibtU5cOpiqGhzKpvf3yxX9gKrB9dWNlpgWDTufEpeDMWajiRKoxaeiKjIYPc/PbjsTGeXd3TVFokFNoP6s8UxePDmiyACGTcZuhOSfKxNR8bU1OMGltnw0O8uRjTGy+WyrSb1+6njGFV7cHvDEEQROz/8tzxmFtoN+J8/fiWXgJeOpdoqi6Vel5aTlWyXRxpacN3Y07HzwwaMG1GDQgsL1qxD4xuPy/JGvtUH954NcF6xAKy9GJ59r6Y5/yXVi9HKmeWIjE3N2dAZNPNIUm3ROGgIikbNSERWWjwk54SQFUoURTH7Yd2Dz+cDwzCwWCzyay+88AKuv/76bvn8o0eP4tJLL8W7776LE088sVs+s79yxe1vZPz7zkfG4ftVVZp//+nSbRn/Lh1DUCfftqqV3DuwzAZvSwR3PJmoxLVkxlA8/8ZXaZPr3KpzsPz5TwEknJjrxioXmwsmnYuBZVbY23qUJFc6EgQRsx/Yo/nZs8adje3vfYeaK8oR2tWeUF9avRjNH7ymqCTD2osVuujCkTMggEKDNwqrjkfLH7MnB5MqR7nTGTtNvvc6jobbG4YnEJbznyQku+JYBieVWHC0sUVhUwun/BIWE4uX//drzB1VBn3YLTuVMWMhBEsJCuwmANrJ4WFLGdb94e+YM7wAJiEgl6KWkEqndkQLn1rFy2rUZS0Lnk+OV/vuLfO/2li7YNK5AKCQfgHAeWeWYuKoU+XqW9KxLEOhvMiSk0OVfF7JLu96+iPFeR6ePRjGPQ+m2X7BlJWI+j1oefORRB+qYRMU/U54Hvih3o/Xdn+DOcMLlONzDsUXZFsURQhBHxraIjqkeAMhF/Iaa1Nrzrhz585uc1AIhOOZTOVPAcBu0cuyr+QdQIelfffNauJU5QkGXftQ8e1hD15662vcf+MFaPaHEY7GUWAzwGpS6rmlyVWK3mh9tt2iwzeHvVi7E5g+MrHjV+CwgLPa4Lx4okKqY6m8HU2iCWU3rUeEp/BjiIPdYkBpYQiutpKaQLt8p/zalWnNGUlyZs+Seu9ffecbTB97puq9Ly0wI9AaRSQm4KW3vpYLNQRaY3hx5z9Rc+0vcePV5yAmCGD0JkTCEXjiZpgYB0oQRswXhAAGQRjAWMrSdnN93jDGDS1BaNdaRM2OtF3i0gl3gjZZFb11si3otXbYc5Fk5oOesu9s40tfJVvZ6I5+59RIBwCsfSlRWCT1Gfj0nw2Yc9XZsiQ2HI3DoGdg0nMdlgNKdunytKad5/m3D2H5hESlvOQIiUiLYGwFoCuXgaYEsA4LWJtDtv9gJAwuGsCCyv8CWB30k+5HNByB1WqCLuk4LSRbjLd4ZOcEIMUbCLlxzMWAeQzgEAh9lmwTZaYICQDVv0kOReqEqiZPCEeVMhhPIJzQ4xeYsk7cySWR1T5bksh8c9iLx3ZEEpIya2L3udVYCv+I9mo3T71xBCIo3Dj+HDy4sV3HvW7uYPVys/4mCOEWslN3jIjFBXz6zwZcOmSg6r1vaA5i+fOf4t5Z56lKvFiWgcOiR21TC464BRh0RjB6EUWiBw2b2hdbxjEL8cy+ZkwZfToGlhXJtsixNAotLEJtfVWkruy0wQLWUQLG6kxr9NiZnd1c5UN9lUzjS19zUpLHUj1HpzUPzTZu5vKdU510TyCMQGtM9RlgWQY/PcGRk3wsF9TypJoDEfy71QzdyDsxsNQIWhTh3rNB7gtUOL4Gv//Ai0mji1CS1MNEF6gDtWsNXEnP2dqddbjjuiHycblAEuYJneGYz9gU1bcGNwIh30iLg0VPfIAbVu7Goic+wKF6PwSh3bnXakTmC0Yy/k1CmlCLVKrYLLv+PDnhN/m1QrsRJU4TnFaD5mQqLQbsZg5nVeiwbu5gPDx7ME4b4JA/p8huxMMLLsbvl43CwwsuViwAGJYGxyiHqRuuPB1C0IsVU0/F6uvPRoFVj8ONIdXqXHxrotQlH1SWnSXkB2mxpFbBa8Gkc7Hlne8AAFve+Q4LJp2bZmMOS2KhVlFkwcknOlBSYMJPCxg0blsj98MpHDUTVk7ALWP/C5vf/lph13azHjarSbaNSO1BNGxdi8adT4FideBbvKAYFmWT70HZ1OVgzA5iLyrkMob0BVLH0oNHvF0aN3NB2qB5d/+htGdAsvECm6FtjDXBbmkfT0VRQLzFg5ivMRHlEwXFaxFfM5p9rfAEwvJ8oFaxbMnMoSgrsqC4ogygObj3bIBt8AiUT1uBwlEz4f/oD5h+6YmKqmR80NeeZI+EQxHa9ShmjR6oWr0sE1LCfDIkYZ6QDWIdBEIvJ5fO8tkakWVr/CihlYgJoMMSFmkxsPntrzF3RCFcbz6SSJa0F+P+iYsRsZbDatRr7j6LogBDSz2Mex5ExNcIm70YS65aBKMpAtdb7a/VXLEQWz5rxpzqGjRsTWp+1ta4kezUHTuSk3c37foat076BQrtBlAU8Mgrf5OTgyXZ4OqbLwKQnlSebCMxX1B2TlKby80ZsxBiUgl7mqZgsDtRUr0YrrbFlnHQEBSNvgF8oFmhiS+unI/Cy26A+53fE3tJIZfmsX2B1LHUoEvvI9WZcTMT0ph684SfQxDEnAsnqOZVTb4biMfSutSv3+tuix7aslYsi/ha4BgyRvHcFI+dB0pHQ5ckK9OKegwoMULfQfkZKd5A6AzEQelHRGM8dBxzrC+D0A0kyxAAtGmL2yfL1IkyWyOybI0fk9FyGDoqYQm0RuD2hbBg3Clo3rxMsRPn2roGFTNWg6a1P1Ot0Vdg58PQXT47bVfvspF3AmYHyiYtgxBqAd/qk7vKk526/KEmRUxdLAmCiDgvwBMIK97rCYRBASh2mjKeQ9qNVWvWGdr1KEqvfQBA+2cwDAO6dGAiP6UtWTfaeFiRMB/3NaLxzXUovHw2HP+fvTsPc6JK9wf+rcre2bs7vSGgjlz1OigoizKKOoI4ICKLAqICioiKKA77ooAggowzjIw6giyijAu4oVwUUUfcgJnxKvpDZcaroE3vSTrpzlap+v2RrupUp5JON510kn4/zzPPYHeWk86pt+qces97LruB+ksLyWwem+l4XkCI4zF74oXwNIaw6/1jcdOu2hM3E2lPCqBS/OOcFTH91vvWHzBh2CLZrvKJ0oFZAJUKm9yW3LJS9rh4ZYI1Wm2b089o53jSHp0ehWkNSsfRalStVucCIhW6SOaKVwXmubePSjPOLU+UZoMWq+76Derq/XB7g9h/+CdMuuZc6e5HvPr5Su/dEQtheV5AjTtSuemJO3/drt3b483gsRp9zM96FBmgzjODCzZACHOo3bclZqauq1Y3SpdE6xSiL87cXj9CYcTsoTNrfF+o1SyqnY3gwgLUqshFnbrFBaE4GysE/cr9A2HF7zp6sa5j5L1x+5banE8zuy0k2oMjG0T3TbtZjwlX/xfun9gX9Q1BzJ/cD2u2/UPxc3X0Z25LfFWKf6xGr9hvS22RAiRJrRUSeMXXYCC/FlMZrSieuBScs0Kqnqe2l7T72KDiJKStOn2Acvvtt3d2EwjJKEopXetf/EIq9dvyRMnzQkyZ08VTB+A0h0k6GVpNOjx+/2AEQvFPjB25ENbdEJA2IxN3b285E9fa7u3xZvD4kB+6sl5STX8+5IdGF9nzxK8vgE6Th9KbHwYEHoxGK51QlcrQZsLi+VwZOCWTiggAYR74udKDvZ/9KKva9c+jFTAZNHhx37cYNaAIBSY1/EIeeJ0J/gAPhonMRLMsA0thd/BeZ9yN4KK/a3H/BbCRu8sqoy3uRp98yA9GG7t/TlfXls1jM5HYN8X9eKIHxoumDMDjswcjEIz9XB35mdsaX5XiHx/yx4mlDIrsBvC8gB3vHMXs0WdJhUV2vHMUd4/rIx2DjFqT/AaKXEi6YyPGzGyQKzG1q0vpAKVv376Ki+AFQQDDMPjXv/6FkSNHprIJhGSdePnepxWZ8eySoTEnSqULw1VbDmHVXb/B4qc+SXqwkewFZls/w0lX80Z7bdm9PV7eMnQG5F95s+z1im9YgMoGBg8+87n881otYBgmMnPeIl0iE8pcxtu/IxMGTm2V7DoFLszjxXe/j7lQXDljEDbv/rppv4W18LmrEWqqMPTYKydQ5wlg1vi+2H3gP5h0zbnoUWxX7h8MK/1MV9YLtv7DcfKFZbK+5znydzhG3itt7ij+nDXb6e5JHNlcqUzsm9NG9Zb6HBDpn49sjcTKInue4s7yHfWZ2xpfleKf2lYMx3X3ofrN9bJ+W1UfxpLbBkLFQjp+xDV6LddlJbseRCnFLBNiZmtyKaZ2dSkdoLz11lupfPkugdaVdD3x8r11WpXiiSzehWFdvb9Ng432LoRVSluI/gxPv/UDFo7t2ebd2+PlLYcb3KhsGpwAzSdO35AFcT9vppa5zNaLACXJrlPQqFk4PX5s39O874k/yAEMI+1ZEv33qH11LSYPmYeFm4/gzy99gYemXQKvL4i6+gDyC7vH9A+uvlZ6vtI6FXGtSd372+EYeS/UlgKAVYFRa6HKM9NFTA4S+2a8vZjq6v1x42tHaWt8jY5/4VAIPKNCUGuElmFksZQx2WAzFMBs0CHkcaKyaTNFQHldVrLrQcKhkHLp9lCo81NvEsilmNrVpbSfdevWTfr3nj17cODAAYRCIVx66aW4/vrrU/nWOSPZdSUArS3JFW3N9453Yej2ytd4tDbYaM9C2HhpC92LzNJn+Pa4C0/t0+H+UWdBrRKkE6IgMHB5/QnTJ1rmLfO8EPfEadLJnxv9eeOli3XmYmhB4CGEghk5cGqPZPotzwsQBODhOwehvMaLF9/9Hk6PH0tuGwg1y0h7lkTj3NWw50UmaaqcPrAMoFMz0HJehNweqLVaqC0F0gVW9HfN6k2Kf19twWkoGvN7Sv/oIlrbi8ntDaLQZkhpG9oTXwWBwYl6Fis3/690TK2YfjGKS/Jkgwt9U/9lEY67LitaMutBeEalnAbJqFDlbOz0NL94aVyZOhlF2i4tZ+dnn30Wb775JkaPHg1BELBlyxacPHkSd911VzrenpCs0tZ8b6ULw8VTB2DHO9/KHtfayVDpdRZNHQCWiVxYKr1/vLSFR++5FBajVlZS09Bih+a2rncRnxOsb4RB4cTpDcgXeUZ/3pZpDeK6BCEcAud1xlykpnrXbDENgfPUZtzAqa2i/1b5Fh0emzUYXDj278ZxPI5X1mPVlkOy/mU36Zr6CAODOQ8hhb+HszGMc3rYMG1YT+SrG8CqBTj3b0Nt00Zz0Skc0d91vLUmjEYru0CjnPXcJsbUfIsOi6YOkNbHicUZdh/4D845vU9K29BR8fXBZz7HY7MGg2GBUIiHxhuUjrOOnIgJaowwjngADW8/LqVKFY6Zh8dfO4bPv66M2dRS2vxSy8Io+CJFUFg2JXcmE6ZxZeBkFGmftHxjr7/+Ov72t7/BZDIBAMaNG4cbb7yRBiidhOeCdLclw7Ul91lpQGM2aDHpmnPxf+X1SVegEV/nsVmD4Q9wKK/x4qmdX0kz3EqDh3hpC9UuH+Zv+DjuwMPlbft6F/FknW/WYd7IB+BrSmUQBxthgcG6Oy7Apnd+Qp0nIPu8DMNC4zgNpZOWIRzwAXxYti4h+gI3Hbtmi2kIKqMNjhF3y/YkyKb9AZL9W0WquvmkwQnQlP+/5ZCs+MOae38j27NEbXXAOOIBvHHQhQXXlaLh7UdREbV3A9/gimy+GJXCIUthEQQUj5sv2+9Eqaob+DBq9jXvrE0567mHZRlYTXoY9fKKh+KaplRXJOvI+OoPcFj6109jjrkGxhAzqDCOeAANjAGJIorSAN1s0OGksQS+IQtg0jEwmQz441s/4POvK6V2rNx8EI/NGgy3tzk2L7q+G8p3r5OtkQmb7dDml3bY8ZQojYv2XMkdaRtSioMTADCbzVCraTTbWVi1Fj+sGpvwMWcu3pWm1pCOoDSgaU8FGpZlwDCQTn6ieIMHpbSFgecVw2TQYvXdv4GnMYQX9h7FPTc0V5HheQH+ANdqPnbLuxihUORkXeX0Ye1uYPKQeSiy6WFRBaTBhsHqwIrx8xFs2gQSiOyvEeJ4WFk/Kl9YhoKhU6UyxEDzyc1x8yr4VUawDDqsWEA8YhoC565G3Yc7UDB0Kli9CWpbkSxdKdMls/CX5wXUun0Ih5UvtorzjXhs1mXI02ng9obAmopl+fENMGDaNQ2ofn5xzN4NBUOnSptzRqdwRKewCCZbTL49EFvVLd6Ah+QWtZpFkT0POq0KhTYDzjm9T9pSlToivhbZDSiv8cqOuRf2HsWdo88HFxbw+JsnMXnIPKmK1xNvnsDvb+4GsyFyl6ZlXLXkacDVnJAfC+MiMbQ434Q8gxYhjoePF6TBiajK6UMwFJZiwOzRZ8GzW76GTFzzpdLlQW2yd8jd6URpXLTnSu5IyzfWrVs3bNu2DaFQCKFQCFu3bkVZWVk63pqQLksctBTZ82A365M+CbRlMaeYtlBkj+RvDzyvGOOHno3lmz7Dwic/waY3jmDkZb8CzzenX7kbAiiv8UrPEUWnZIkz83PWf4TbV+7DnPUfgRcE6TnfHndh4eYjcHqC0mw70HRC3LkGRiHS/ujXqHN5E65LqHN6MWf9R6hx+2MuFDp612wxDQFA5IJ451pU734CjEqdVSfS1vqK+D0u+MvHOF6p/J1X1jVg7p8PYPmmz+BtDOHJXV/hRD0LlbkQbJ4NdfUBuJp2j48mfpdA4hQOcbCisTqkOyxKM7DVbz8J26DR0n9Tznruam9s7AinEl/FtLAX3/1eeszZPewYedmvsOAvH+PHk/Wo8wSwcPMRzNjwv1i4+QjqPJHBwE8V9eCa/j86rvrdsRUOq3euQcWJCpyo8sBq1EkDOqXjl2UZ6fPY81Rx9xcSwpxiXP+pol52fkhGdPwURccApWOeZJ+0fGvLly/He++9hz59+qBPnz5499138eCDD6bjrQkhbSTO2kWLt34lOr3s2SVDMX30+Xh022HZ7N6fX/pCdgIKcZEys7PG94058YppFkoz85veOIJFUwfInnNaofLGZUKYQ8jjhD7kxuzRZ+GcHjbUernIIs+mdQnRxHUOYtrRhKv/K6nP315iGoLYjmxNQ2itr0R/j7vePxbznd83oa90sSX2lav698TKzQfhbghIzxe/u2hqqwNCmEPx+EUouekhAJFUFZEg8OC8ToTc1eC8Tvnv4m0CmsSAh5BTcSrxdd19g1Fo1cPp8UuPGfvbXlLpZKVjbNb4vggEOazcfBBOj18WV/PNOjB8/KIj4nEIKA+Wltw2EAYti3V3XICnZ/aB2ahTPE75kB+MSh33jqv4HsnKlfhJEktLBC4uLsb27dvh8/nA8zyMRmM63pYQkqTo2+5qFYvl0y/BQ898ltT6lej0sqq6Runkc3YPO8b+thfMeRoITe8BAAyA2647D1yYx7039oFaxcIf5FBobZ7JVJplPPhNJaaPPl+2uV+FMwiNwoJIgQ+j8oWl4Jr2Apg38gF88O8grhszF86PX4lZ92EY/gCe2H0i8hmcPpQVmqTUilTsmp0raQitVe5q+T0yDLDizkFgmzZdfGz7P/Hdcaf0+yqnTyoFK84oVzl92PbeCSy/cT5qdjWvJSkcMw+sWoOql1fFrCUClDfm9JtKEAjwsMTZPFQcvNLFDmmLtqQtJVulkeN4OD1+cGEBahWDfLMeanVkjVz0860mrXSMfXfcKZXv7lFswvFKL3Yf+A+u6t8TVU4fuLAgPfacHjbMG1kKwVWueCyIEzbicdhyraNaxUKjAtSekzC8twYBdzXYXv1RNHYeqnatVdxfKOTyJ333KJFciZ8ksbQMUH744Qds3rwZtbW1EITmmdSnn346HW9PSJeVzIkz3kLn1naeV6LRRGYHlXZsXnLbQGjUrGzgM2t8X7z+939j0jXnwpzXfIKOl3vNANj0xhHZSXbBdbGVZmr3bY3ZC+CaG5fB+eFWWC64Eow+DyXjF4MPBcBpTFi+4zt8e9wlvY9ep075rtnJlPrMdK1VnBO/R7E/rH+xuT+suus3splgIPK39zSGZDPKRXYDBDDw6IqkBbvOxjBCPg00/7MqZi1R8S2PgBcEVCssovUNWYA5G7/Exb8uxv1j5qH21eYLqeJx88EardJCW7rYIdHixdK2FtVIpkojx/H4saIeq7c2VxtbOGUATi+xQK1mZc9nAFms/O64E5veOIJpo3pj0xtHMGt8X2zfc7TpmGKkx04e0h2+PWsRVCjUIU7YtLyzI05GNVdUdMLwXnOKre/YYQBA6a0rgXA4popXe0otx5ML8ZMklpYBypw5c3DRRRdh6NChijvLE0I6XrInzkQLnYvseW16T7MhUiGH5wXZQlDxNe+fcKHsDsjuA//BnaPPR4HVIGtTvFlGm0mHhVMGSCfuOk8AjXnFKJ28GjwXwo+VjfAKWulEKeLc1dCqBNQcOwy+wQXboNEQ9KbIjHmJDXWeSIpB9Pt0Vn3/bJOo4lz0/hMtd/De9MYRLJ46QFZ2WCz5unjqAJgNWrAsIz1/4+uR9UxrX4i8zjOz+irumcKFgmjwJd4r5/OvK/EnAHffuAJ+nx/5NhO0Fps0KBHTw2h2lgCJY2lbd4gH5Bf67oYAatw+2UDF6fFLMU58zdVbD+HRey6Fo2nHe/H5nsZATOnkxVMHwGTQ4K6x52P7nqNwevxYPv0S+INh3DehL9a/+AXseSoEFAp1wFSIB5//NqYSYjTxM6+YdDYC7mroynrBNmg02KaYCoaFxl4Y87y27vFFura0DFBCoRAWL17crueuWbMGTqcTjz76aAe3ipDcluyJs707yLfE8wJOVHmwcvNBzJ54oeJr2i06/OnFf8kuSFmWiSlJ624IwKjX4NF7LpV+bzXq4G4I4MV3v5UNcra9HakSFoIOczZ+htW39YZFIWVBpdbA0Ks/bP2Hy8v6jpuPx2cPRiCYurslXZU4W2zQqRVT9u4ae0FkJjgU6WseXxBX9e+JHe98i0nXnIueJRbp+Qe/qYTLE5S+e6NRUNwz5ecaP4ry8+KmrYg+/7oSowafhYVPfoFnlwxFUdTgJO4eCzRI6ZISxdL2xs9Eg57oVKzo1+R4QYqPPC/A7Q1g1ZZDsJv1uGvs+SgrNEGvU8NmilzwazQqzLu1HzRqFoIAzP3zR7Cb9ZFjyKxGuOkYEQt1qK0OFN/yCObe2j9hLBQ/s7MxjII4MVUw2WKOl7bu8UW6trRE27KyMpw4caLNz/vss8/w2muvpaBFhOS+ZE+cbVm0mUj0SVxM02n5mhW1DQkX0Isn7b+88r/4zy9uVLsi7RVn00Mcj4PfVOKRrYew8MlP8MjWQzj4TaV0siuyG7DtvRMwDH8gdgGl2YbCoVOkEynQlPrTVPWrMyr6dAUsyySsAGQ366HRsFj45Me4//G/S9+puHg2+vnfHXdK3/0vHqBw7HzZ92wY/kBkH5yAOqYPLCeM0QAAIABJREFUGEc8gG3vnZC9f8t0MiD+HgvhBneq/1QkQyWKpe2Nn4kWjKtVjOJrqllGqoL1/XGXdPfxu+NOLN90EEv/+imYpvVdLSuVcS3KfFf7VCgYMy8mTmottlZjYXSstV81WTGmxjteOrOCGskuKb2DMmPGDABAdXU1xo0bh969e8v2P0m0BsXlcuGPf/wjZsyYgW+//Tbu4wghypLN9+2o2+7RJ3Gxmkz0GpRFUwbgqV1fyZ5T5fQhusCkuyGAF/YexcjLfiV77uKpA1BgjaQ0PDRtIF5893tpcbX4maI/x9rdJzFt2AL0KDJAo9UCDIuwxwmAiVv1i6ROWxfTA5G+EQiGwfOC4vMLrHnwIE+2LuWJ3SdQ5wmgyhXA0+9H+sDpxXmocAbQqDdj2jAtTLrT4Q0IYPMseOm972P6eqI9FkjXlCiWtjd+Jhr05Jv1slRWcQ2KTstiwV8OSnej23LnRqNmMfC8YllsvfjXxbj/ppXQqoQ2pTJGf+b6xjjHSygAzuuk9EjSbikdoAwbNqzdz33wwQcxe/ZsnDx5UvH39fX1qK+vl/2soqKi3e9HSKp0Vl9N9sTZUbfdo0/iYjWZu8aej9OKzNBpVWAZKC6Kjh4whTgeV/XvGbNeYVWLHcfvm9AXz719VNqFWWxvy8+hbbEJWfH4RYqpP1RSNrX9NNnF9C0vAH+u8sAX4KRUr+jncxyPZ177SrYuJXog7PQEoLXY4RY02LD7KBaOKoPw3h8QaNrQ0zFuPu4d3wdmg7yvi3ssUB/JXOmOqYliaXvjZ6JBj1rN4vQSCx6951JwvAB1012HOk+kCtbZPewwGbRtWnBuNeowbVRvLH7qE+k5n39diVm/1EfSfk3Jb0Ib/Zn14Qb4FY6XYNVPqN23hdIjSbulNOKOHj1a+vcvv/yCQ4cOgeM4DBgwAD179oz7vFdeeQWlpaW45JJL8Oqrryo+Ztu2bdiwYUOHt5mQjtZZfbUtJ85EC51FrVUEa3kSd3r8KLAaUNS0qLNleUylAZNGzcrKZoqqnD7otZFwZTfrEQyF8ftJF0GtYmRpAi0/B+eVb0LmOvAKHNfORPVbG2TrC6ikbOr7abw+xvMCWAYxC33F6kNOj19aNxX9/Kq6Rhz8phLmPC0emnYJVCwQ5gFTnlrKuxfXLU0b1hPet2I3oyubshosK2+TuMdCyzUo1EcyR7pjamuxNJn42VJrE0hqNYsCq0GKuR5fELqmKoljf9sLW9/6OuYu9eKovaSUPgPLMIqxlecFOD3+Ng2wxM8sCNqY48Ux4m7UfbhDSo8sm7KaKm6RNkvLlNCBAwcwd+5cXHTRRQiHw1i7di1Wr16NIUOGKD5+z549qK6uxqhRo+B2u9HY2IhHHnkEixYtkh4zefJk2QAIiMygTJo0KaWfhZC26sy+2p4Tp5JkKoIlcxJvbcBkNeoQCIYVZwY9jSGc3cOuWL44XknPluk6gfJjqPvgeZTe8jAAUIWmKJ3RT6P7lbjQt6TAiBqXD9v3HJXS+JTSVjSaSMrKFRd1x/JNn8ku0k4vtUr9wWrUQe8w4GSSaVu0x0Lm64y+2lGxNPr1EsXDeDF3+fRLUN8QjCka4WkMwdpK9UGxDHx0bB14XrG02D6ZmNqS7HgJBRCs+gl1H+5AoPwYAEqPJO2XlgHK+vXr8fzzz+Oss84CABw7dgxz586NO0DZsmWL9O9XX30Vhw4dkg1OAMBiscBisaSu0YR0kFzoq8lWBGvtJJ7M7wuthpjys2JKV/SuyYnaIVJK1wk3uCI/pxk9mc7op9H9qsrpk1L4po3qHbPGqCWllBUxHTC6P7AsA41O26a0LdpjIbPlQkwFEsfDeDH3sVmDodPIi0YAkeNk3X2DE76f0l0bpWOotTLJLYnHC+d1onbfFkqPJB0ibWWGxcEJAPTq1QvhcDjBMwghmaSjShEng2UZFFj1WH3PpeB5AVqNCo3+EJwev7TLeLLtoHSdzBavX1lNWgCIu24KSJyy0rI/UD8g2ablsXF2DzvG/rYXAsEwdFoVlk+/RLbpbTIL85Xu2oRCHRfb6TgjHSktAxS9Xo8jR46gd+/eAIAjR47AYDC08qyIMWPGYMyYMalsHiGkFR25A3AiHMfjeGV9TLpB9yKzdFJtSzsoXSezxetXDpsBzy4ZmjAfnucF8IKQVH+gfkCyTfSxES+19fH7ByMQan3dSKL1g06Pv0N3d6fjjHSUtPSauXPnYsaMGbjpppswceJETJ8+HXPmzEnHWxNCOoCYGiDW5k/FDsA8L6DG7ZMGJ0BzuoHHF4TdrEeh1dDmdojpBxqrA2qTnU6WGcRs0GLhlAGy73PhlAFJ7ZPgbghg0xtHMGt8X9nz4y0Upn5Askl0zI2X2soLaPU4EdeyzFn/EW5fuQ9z1n+Enyrqpf2nOjq203FGOkpa7qD069cPb7/9Nr788ksIgoDzzz8f+fn56XhrQkgHSMcOwO6GAOrq/QnTDWgn4tzi8QXx4rvfyhb6vvjut7jnhj6t5r+Lm3a2daEwIdkgOtb5A+F2p2G1tn6QYirJVGkZoHz++ed45JFH8Oabb+LYsWMYOXIkNmzYgL59+6bj7QkhHaCjq9i0FOJ4uL3BVtMNUt0Okj7iIOPgN5Wyn08f3fqFl5gC09aFwoRkCzHWOdH+NKxk1g9STCWZKC333sSywkBkgfwzzzwj/TchJPeIdfWrnI1wevxSOkEiGjWL/Yd/Sjplh2Q/cZARLdkLr3SkHRKSCZT6+qKpA8AyaDW2nsoxRkhnSlsVr/POO0/67/POOw/BYDAdb00ISbNk9kxRYjXqMOmac/HC3qO498Y+KLQaoNGw0GlVaWw9SSdxDcrqrc1FERZOGQCzQSs9Jt4CX0pNIV2F2NcfmzUY/gCH8hovntr5FZwef6uxtbUNIZW0tikvIemQlgGKwWDARx99hMGDI7feP/vsM+Tl5aXjrQkhaZbsniktiSfhe2/sgxq3Hw9t/CzhAIdOotmvwR+Ez89h2R2XgGUZ1Lp9sjUorQ12KTWFdBUsy4BhgKV//VSWstVabG3rQD7eMde9yAyPL0jxlqRNWgYoixcvxj333AO1OvJ2LMviiSeeSMdbE0LS7FT2TGFZBrwAPKJQySv6JNzeuzQkc0Sqtvnxpxf/JX2Hs8b3hcsTlPpKewe7hOSi9sbWtgzklY65F/YexU3Dzmn3bvOEtEdaBigXXHABPvzwQ3z//fdQqVQ444wzoNVqW38iISTrnOqeKcmchOnCNfu5GwIxA9E/v/QF7hp7vtRX0rlBKCGZLh37USkdc1f176lY/p3iLUmllA5QtmzZovjzTz/9FAAwderUVL59RguGwtBqcju3nueCYNXxB6Kt/Z5kp/bkPEdL5iRMF67ZL953WFZokvpKujYIJSQbnGpsTYbSMWc1aSnekrRL6QDl+++/j/s7QWi9qk8u02pUGPn7N1p93O4/jEpDa1KDVWvxw6qxcX9/5uJdaWwNSZdTXbyczEmYLlyzX7zvUK9TS30lHRdkhGSLdBSGUDrm8i16irck7VI6QBFLCf/rX//CM888A5/PB57nwfM8fvnll1S+NSGkE53K4uVkTsJ04Zr94n2HNlPzd0iVugiRS3VhCKVjzmzQUrwlaZeWNShLly7FqFGj8M4772DChAnYv38/rr766nS8NSEkC7V2EqYL1+yX7HdIlboISS+lY47iLUm3tAxQGIbB9OnT4XQ6ceaZZ+K6667DxIkT0/HWhJAcRReu2Y++Q0KyAx2rJN3SkkBoNBoBAD169MCxY8eg0+kQDofT8daEEEIIIYSQLJKWOyjnn38+7r//ftx3332488478eOPP0Klyu0KVp1p2+LfIj/f3NnNIIQQQgghpM3SMkBZtGgRvvzyS5xxxhlYtGgRPv30U6xbty4db90l5eebqXoWIYQQQgjJSmlbg9KnTx8AwBVXXIErrrgiHW9LCCGEEEIIyTJUxJoQQgghhBCSMdJyB4V0nNbWl2Tzxo6EEEIIIYTQACXLtLa+BKA1JoQQQgghJHtRihchhBBCCCEkY9AAhRBCCCGEEJIxaIBCCCGEEEIIyRg0QCGEEEIIIYRkDBqgEEIIIYQQQjIGDVAIIYQQQgghGYMGKIQQQgghhJCMQQMUQgghhBBCSMagAQrpNDwX7JDHEEIIIYSQ3EE7yZNOw6q1+GHV2ISPOXPxrjS1hhBCCCGEZAK6g0IIIYQQQgjJGHQHJcNsW/xb5OebZT/b/YdRndQaQgghhBBC0osGKBkmP9+cMO2JUp5IV8PzAtwNAYQ4Hho1C6tRB5ZlOrtZJA3ouyek89DxRzoTDVAIIRmL5wX8VFGPlZsPosrpQ5HdgCW3DUTPEgudKHMcffeEdB46/khnozUohJCM5W4ISCdIAKhy+rBy80G4GwKd3DKSavTdE9J56PgjnS1jByjr16/H8OHDMWLECGzZsqWzm5OUYCjc2U3IOa2VGeZDVKo4l4U4XjpBiqqcPoQ4vpNaRNKFvntCOg8df6SzZWSK16FDh/D555/jzTffBMdxGD58OC6//HKceeaZnd20hLQaFUb+/o2kHksL35PTWiniMxfvolLFOUyjZlFkN8hOlEV2AzTqjJ1bIR2EvntCOg8df6SzZeQAZcCAAXjuueegVqtRWVmJcDiMvLw82WPq6+tRX18v+1lFRUU6m0lIUqivtp/VqMOS2wbG5EFbjbrOblrOybR+St89iSfT+mououOPdLaMHKAAgEajwZ///Gds3rwZ11xzDYqLi2W/37ZtGzZs2NBJrSMkedRX249lGfQssWDdfYOpkkyKZVo/pe+exJNpfTUX0fFHOlvGDlAAYNasWbjjjjswY8YMvPzyyxg/frz0u8mTJ2P06NGyx1dUVGDSpEnpbiYhCVFfPTUsy8Bu1nd2M3JeJvZT+u6Jkkzsq7mIjj/SmTJygPKf//wHwWAQ5557LgwGA66++mp89913ssdYLBZYLJZOaiEhyaO+SrIB9VOSLaivEpL7MnK1088//4wlS5YgGAwiGAxi//79uOiiizr0PZKtuEWVuQghhBBCCEmfjLyDcvnll+PLL7/E9ddfD5VKhauvvhojRozo0PdItuIWVdsihBBCCCEkfTJygAJE1p/MmjWrs5tBCCGEEEIISaOMHaC0RzgcScdKptzgaaedlvTr/vzzz0k9ri2vSdIrme+wpKQEanV6Dom29FVColE/JdmC+irJBunspyR5jCAIQmc3oqP84x//oCoepN3279+ftkEm9VXSXtRPSbagvkqyQTr7KUleTg1Q/H4/vv76azgcDqhUKtnvxBKEL7zwAkpKSjqpha3LlnYC2dPWZNuZzlmURH1VlC1/31NBn7HtMq2fAtnzPWZLO4HsaWuidmZaX82Wv2lL1O7UojsomSmnvhG9Xo9+/folfExJSUlWjJSzpZ1A9rQ1k9qZTF8VZVK7U4U+Y2ZqSz8FsuczZks7gexpa2e3syvEVGo36UoysswwIYQQQgghpGuiAQohhBBCCCEkY9AAhRBCCCGEEJIxVMuWLVvW2Y1IF51Oh4EDB0Kn03V2UxLKlnYC2dPWbGlnS9na7ragz5gbsuUzZks7gexpa7a0E8iutkajdpOuJqeqeBFCCCGEEEKyG6V4EUIIIYQQQjIGDVAIIYQQQgghGYMGKIQQQgghhJCMQQMUQgghhBBCSMagAQohhBBCCCEkY9AAhRBCCCGEEJIxaIBCCCGEEEIIyRg0QCGEEEIIIYRkDBqgEEIIIYQQQjIGDVAIIYQQQgghGYMGKIQQQgghhJCMQQMUQgghhBBCSMagAQohhBBCCCEkY9AAhRBCCCGEEJIxaIBCCCGEEEIIyRg0QCGEEEIIIYRkjJwaoHAch59//hkcx3V2UwhJiPoqyQbUT0m2oL5KSG7JqQFKRUUFrrrqKlRUVHR2UwhJiPoqyQbUT0m2oL5KSG7JqQEKIYQQQgghJLvRAIUQQgghhBCSMWiAQgghhBBCCMkYNEAhhBBCCCGEZAwaoBBCCCGEEEIyhrqzG0DaTxB4hBvcEMIcGJUaKqMVDENjTkJI9qK4Rgg5FRRDcgMNULKUIPAIVh1H5SuPgnNXQ211oPiGBdAW9aADkRCSlSiuEUJOBcWQ3EHfVpYKN7ilAxAAOHc1Kl95FOEGdye3jBBC2ofiGiHkVFAMyR10ByULCQIPIRSUDkAR566GEKZddAkh2UkIc0nFNUrhIKRrixcDko0hJPPRACXLiLcvOU8t1FaH7EBUWx1gVPSVEkKyE6NStxrXKIWDkK4tYQxIIoaQ7EDRPMuIty9dB16BY8TdUFsdACAdoCqjtZNbSAgh7aMyWlF8w4KEcY1SOAjp2hLFgGRiCMkONKTMMuLtS85djboPd6Bg6FSwehPUtiKoLQU0g0gIyVoMw0Jb1ANlU1bHTd+iFA5CurZEMSCZGEKyA31jWUa8fQkAgfJjqNy5FtW7nwCjUtMBSAjJegzDQm2yQ2N1QG2yx8S16BgoohQOQrqO1mJAazGEZAf61rIM3b4khHRlFAMJ6dooBnQNKZ1y8nq9mDBhAp5++mmcdtppst8dPXoUS5YsgdfrRb9+/bB8+XKo1WqUl5dj7ty5qK2txRlnnIF169bBaDSmsplZhW5fEkK6MoqBhHRtFAO6hpR9m19++SUmTpyIH3/8UfH3c+fOxdKlS/HOO+9AEAS8/PLLAIDly5fjpptuwt69e/HrX/8aTz75ZKqamLXo9iUhpCujGEhI10YxIPel7Bt9+eWX8dBDD6GoqCjmd7/88gv8fj/69OkDABgzZgz27t2LUCiEw4cPY9iwYbKfE0IIIYQQQrqGlKV4rVq1Ku7vqqqq4HA0L3ByOByorKyE0+mEyWSCWq2W/VxJfX096uvrZT+rqKjogJYT0rGor5JsQP2UZAvqq4Tkvk4peyIIQszPGIaJ+3Ml27Ztw4YNGzq8bYR0NOqrJBtQPyXZgvoqIbmvUwYoxcXFqKmpkf67uroaRUVFyM/Ph9frRTgchkqlkn6uZPLkyRg9erTsZxUVFZg0aVJK205IW1FfJdmA+inJFtRXCcl9nTJA6datG3Q6Hf75z3/ioosuwuuvv47BgwdDo9GgX79+2LNnD0aOHCn9XInFYoHFYklzy3OTIPAIN7ipGkaKUF8l2YD6aeagmJwY9dXsR32ctCatA5Q77rgDs2bNQu/evbFu3TosWbIEDQ0N+O///m/ceuutAICHHnoICxYswFNPPYXS0lI8/vjj6WxilyMIPIJVx1H5yqPg3NVSPXFtUQ8KFoQQkmYUk0muoz5OkpHyAcr7778v/Xvjxo3Sv8855xzs3Lkz5vHdunXD9u3bU90s0iTc4JaCBABw7mpUvvIoyqashtpk7+TWEUJI10IxmeQ66uMkGTRU7eKEMCcFCRHnroYQ5jqpRYQQ0nVRTCa5jvo4SQYNULo4RqWG2uqQ/UxtdYBRdcryJEII6dIoJpNcR32cJIMGKF2cymhF8Q0LpGAh5oKqjNaEzxMEHpzXiZC7GpzXCUHg09FcQgjJaa3FZIq9JBsk6qftve4gXQsNV7s4hmGhLeqBsimrk66mQQvcCCEkNRLFZIq9JBu01k/bc91Buh7qDQQMw0JtskNjdUBtsrcaJOItcAs3uNPRXEIIyWnxYjLFXpINkumnbb3uIF0P9QjSZrTAjRBC0o9iL8kG1E9JR6ABCmkzWuBGCCHpR7GXZAPqp6Qj0ACFtBmbZ0bxuPm0wI0QkvFyaVE5LS4m2SCZfppLxyVJDRrOkjYRBB6h6p9R99FLKBg6Fao8K1QmG1TWQsohJYRklFxbVE6Li0k2aK2f5tpxSVKDBiikTaIXv/mOHQYQmR0pm7IaLO0ASwjJILm4Y7W4uJiQTJaon+bicUk6Hg1QsgzPC3A3BBDieGjULKxGHViWSdv7t1z8pivrBdug0RBCAXBeJ83mEUKSlup4lo2LdQWBR7jBTXdISNZQOo4ZRojbj7PxuCTpRwOULMLzAn6qqMfKzQdR5fShyG7AktsGomeJJW2DFHHxG+euhq6sF/KvuAnVbz9Jt2kJIW2SjngWHa9EmbxYl1JfSLZROo5XTL8YhUJd/H1Qsuy4JJ2DIl4WcTcEpCAAAFVOH1ZuPgh3QyBtbYhe/GYbNFoanABUk58Qkrx0xLNsW1RO+5yQbKN0HHvr6hL242w7LknnoOFqFglxvBQERFVOH0Jc6qtfRKcdqEz2yOK3UIBu0xJC2iUd8SyTFpUnk7pFqS8k2ygdxyYdg4BSP45KBc+U45JkLhqgZBGNmkWR3SALBkV2AzTq1B7U8dIOVEYr3aYlhLRLuuJZJiwqTzZ1i1JfSLZROo69AQEGhX4crPoJtfu2SH2/s49LktlouJoleF6AIAAP3zkID00biLN72KWcbatRl9L3jpd2AIal27SEkHaxGnVYPv0SPDRtIFbf/Rs8NG0glk+/JOXxrDMkm7pFqS8k21iNOiy5bSCK7AYAkUkGU35+TD92jLgbrk9fk/q+3+2E0+MHzwud2XySwWhaJgsoLUJbNHUACq16mPNSX8UrbtoBF6TbtKRT8FwQrFrb4Y8l6RXieDy16yvZIvlclGzqVialpBGSDJZl0LPEgnX3DW5RxcskpYIHq35C3Yc7ECg/BiDS9+ucXjz4wj/TXuiHZA8aoGQBpUVoj2w5hHX3DU7LQZ0o7SAT0idI18Oqtfhh1dikHnvm4l0pbg1pj3iL5NfdNxh2s76TW9ex2pK6RTGVZBuWZRSOWQZqkx2c14nafVti+r6zMZzTxzw5dTQtkwXERWjn9LBh9W298fTMPpg9+iwIfOoXxwOUdkAI6XhtXSQvCDw4rxMhdzU4rxOCkJ741xEohpKuouVxyuaZY/q+YfgD2PbeCQDpK/RDsg/dQclALau96LQGXPzrYky/PB++PWsRcFfDYnUgb9x8CJaebb79z/Mcwh4XwHMAq4bKbAPLxu8KDMNC4zgNpbeslD2nI9MO2rM5GW1oRkj2assieZ7nEKo6gcqda5oXmY+bD01R94SxK1pb4sWpxJZ4z5VSt0JBgGXBUNohyTI8zyHsdQFhDmBYMFo9wIchCALA8wB4gOdRs28rfMcOS8cpa7Si9JaV4MHgx5MePLH7J3x73AUgPYV+SHZK6QBl9+7deOqppxAKhTBlyhRMmjRJ+t3Ro0exYMEC6b/r6upgtVrx1ltv4fXXX8e6detQUFAAALjiiiswe/bsVDY1YyhWexk3H3PH9kLFc4tliyyrdq5B2ZTVbUoH4HkOocrjqNy1tvn1x86DprhH3BO94sVBB24e1p7NyWhDM0Kym7i4tuVGjS0XyQsCj7C7Roo/QNMi851rUDppGXitAQIXjN2tOnqgoNYi7HXGjRdteWwiieISIF8sTzGLZJPIdcBxVO5svnYoGjsXnm8+hulXfWUbNjtG3A2+wYVA+TFU7lyDgqFTI9W7xs1D91IbbJbIMZ6uQj8kO6UsKlZWVuKPf/wjduzYgTfeeAMvvfQS/v3vf0u/P/fcc/HGG2/gjTfewIsvvgir1Yply5YBAI4cOYIFCxZIv+8qgxMgTrWXnWsALhhnkWWoTWkPYY9LGpxIr79rbeSOioK4FwcduHlYezYnow3NCMlu0Ytrn10yFOvuG6y4WDbc4EbY61KMf2GvC4GT/8aJDTNQvnUhglXHIQg8eJ4D56oC56xEsOIHBOvK48YLcVBRvnUhTmyYgcDJf7c7tiSKSxSzSLaJTtcKe5zS4ARomiTd9RisF/w2ZsPm6refhG3QaOm/Wb2p6VpmLYTq/8Pvf1eMbQ/GP+YJAVI4QPn0009x8cUXw2azIS8vD8OGDcPevXsVH/vXv/4V/fv3R79+/QBEBiivv/46rrvuOsyZMwdud9cJ4PGqvTCAlMMpUlsdAM9LJ9boE3RcvPLrg1feCCzRxUFHbR7Wns3JaEMzQrKfuLi2yJ4Hu1mveKEihDmEG92K8S/c6AariSyulS74Gz0IVZ3AyReWofy5xajdtwWsWguV0SZ7vhgvWg4cWI2+3bElUVyimEWyScuBe7i+VvnagWUVf87qTQAixynv9zb/XKNH1c41sKgCcY95QoAUpnhVVVXB4Wg+oRQVFeGrr76KeVx9fT1efvll7N69W/qZw+HA9OnTcf755+Pxxx/HihUr8Ic//CHmefX19bKfVVRUdPCnSB8xxQCAYrUXAQwcI+6W3UYtGjMHNfu2xszIJUz7YpWrySBOelf0xUFrFWjam7fdns3JsmlDs1zrqyQ3ZWo/ZVRq1H/5AYrGzEHVq+tkaSSuw3tgueBK6bFi+fOWd3yrdj2GwlH3QWisB6s3gfd7Uf/lB2BU6piBA+/3tju2tIxLurJesF12QyQ/n1XB0Ks/fMcOt/l1iVym9tVc0nLgHn0doCvrBdug0VDlWcHEuaZQmewoHr8IKoMFte8+K/2c93tpYE6SkrLIKAixm+8wTOxIeffu3RgyZIi03gQA/vKXv0j/njZtGoYMGRLzvG3btmHDhg0d1NrOFZ23rDLa4Lh2Jqrf2iA7EXP1NXAf3oOCoVOlEyxYlexkB7Q+I6cy21A8dl7MGhSV2Sa1JXqQwai1qP/yg5jBUfG4+bIKNKeyJkSscKO0U31HPqez5FJfJbkrU/upymhF/uUTUH/k7yiZuBR8owfhRjdch/fANuBa1H3wvPRY8a5yyxldldEGlUaHyqZyp2LcY/PM4Bs9sgss16evxcTgZGNLdFxSGW3Iv/Jm+euMnYc6oHkBcQpjVi4XEcnUvppLxIG7NBgx2VEycSncX7wnW3Ni6NUfRWPmourVx5qvWa6dieo3/4xwgwuO6+4D0LxZY92HO2hgTpLCCEojiRZ8Ph++++479OnTB9u2bcO3336Le++9F2VlZXGf89prr+Ef//gHVq1aBSAy6BAyW1wDAAAgAElEQVQEATNnzpQ9burUqbjzzjtx8cUXAwA8Hg927dqFKVOmAABcLhd+97vf4bPPPpM9L94MyqRJk7B//36cdtpprX/6DMF5nSjfujBm1k1bcBoAATX7toJvcMWc7EonLcPJF5bFzFy0tnA+XhWveIMMqDWo278dlguuhCrPCpXJBpW1ULaovuVnSLYtolyu4pVLfTWT0D4oHSuT+6l0rDdVC+J5HlCpgZAPlX97OGYg0TIWFY9fhNq9GxXjk8pojY17E5dCpcs75SpeJ7cvjXnP0ltWAhBSGrNyvYhIJvfVTMfzAtwNAdmmikppVpzXieo9f4Wt/3DZ5KTSdYehV38UDp0KgecQclbAdeAVaVNGtdWB0ptXRDZnfH87wg2unOqLJHWSGsIuXLgQ3bt3B8uyeO6553D99ddj6dKlePbZZ+M+Z9CgQXjiiSdQV1cHg8GAd999Fw8//LDsMYIg4JtvvkHfvn2ln+Xl5WHTpk3o27cvLrjgAjz//PMYOnRozOtbLBZYLJZkP2dGa5liECg/hsqXHkH3mU+DNeXDMmQa6j2NKOcYqIcvRqlNC41WK9UXb+tdBJZVg7UWRt676WQaDnMAGMVFnGVTVsMx/M64J2tB4CGE4i3iT+42bns2J8uWDc1yqa+S3NVZ/VS6oI8qv6vKM8tiDMOwYPNs+KmiHis3/0Oq+rVi+sUxu64DiImLmvyyuPGpo3dvF+NSyF2tnLMPAZoW62k6WrwF+W2t+pipKKa2D88LTcfQQeSbdZg2rCf0DgM0Oq10N1E8Btg8MwqHTpENRsTCFC37te/YYWDoFDCsGpUvPSL7HeeuBhhAU1CGojG/z+jJRJJZkhqgnDhxAn/605+wfv16jB49GjNnzsTYsYlnL4uLizF79mzceuutCIVCGDduHM4//3zccccdmDVrFnr37o26ujpoNBrodM0l5lQqFf70pz9h2bJl8Pv9OP3007F27dpT+5QZLtF6Cq8/hIoqL0w6Bj4/h23vnUCdJxDZeZVVK55YgcjsR2sn25azbGW3rop7Eo93QhVfg/PUZs2aEEJIZlCa6XdcOxNhsx3a/FIAkO5G8FBhxzvfy3aef/CZzyOx0CrfhVpb1ANlU9dA4IKtrv/o6Duxra0nTEdMpAX5RIm7IYCVmw+iz1mFuGNoKRDyg+WDCHsbIQQDqHmvxf4lBlNMP4q7JlWjk/4d2+c1OTEwJumVVKQMhUIAgI8//hjz589HOBxGY2Njq88bOXIkRo4cKfvZxo0bpX8XFBTgk08+iXlev3798NprryXTtJwQbz0F9GZoa07A8N4aaXPGeSMfwNrdJ6WdV1veRYi3j4rShmYtZ9n4UKBNJ1RB4MHV1zWvnWm5TqUpxztbUrEIIekTHT9kJUrf2oCCa+6ASm+K2Y9k+vAH4KoPAAAmD+kOe54K+nADBEEbE1Ni9jIZNw/1+aXwHHxTirFsnrlDU6FaW0+YrnVy2VREhKRPiOORb9bh9sE2OPdvg63/cFQk2L+kZPzimH5U/+UHKB43X7YvWtG4+WAMkXLB2bI2lGS+pKLVhRdeiOHDh0OlUuHCCy/E5MmTMWjQoFS3rctQSjFgDBb43U7UtqhG49vzOKYNWyDtvNoyn9TM+BT3USmdtAyMrUiemtVylo1VxS7Qv+4+CIKAkLtaNrgQT8RC0A+uKZWh7sMd0iJ+lcmO2v3PwTH8TtqcjBAi0zJ+RBNLkQpcMCaW+fY8jhnDF8Gi8sO3Zy0C7mpUK8QU5f2k1qJ00jLYBo4EwzBQGa0dngolvp7KaINt0GgwOj1KJiwBo9ZEUtfSNDmTTUVESPpo1CxmjjwT7o9fQMGVk1Dx0ir55MDbT6Jg6FRpvxM+6IuZeLRfOg7Q56Fw0kq46xtR6+Ww/X8qcdOwfPQssXRouiTp2pIaoCxduhRffPEFzj77bLAsi9tvvx2DBw9Oddu6lJZ3QpweP/yeRsWTd48iA3RGnSyfVMzJ3nDXBfLF9oNGg9WbIAgCwo0eqJtOUJG9UhiU3boqUhHn09fAMAzq3t8uDTLEAHNy2yLZLCRrtIFhIutVCoZOlWZYIrMua6G2OlAwdCp8xw5DCE3N6VxoQkjbiRfy0fFDpLY6IhfSfFgx/pXla+Dav0NW0bDu7y/CMfxOKabES3EKe11QWQqhsuRHJlrakAqVzJ1gIcxFqnddcVOLqofzoC12dEjqWDIXfh29robkBqtRByOvR7j/cPD+BuXJgaj9S1i9CVwoiMLhd0FtLUSo5mdAbwBX8zMYWxlqvZG082+Pu/DDL/WRdEuzXvHcTpkUpK2SGqAEg0Go1WqYzWapitd//dd/JaziRU5NiONR6+VgUaipr2YAvtGFBsYgDU6ASE728WofDFZH3JOkKs8MADFpDUVj5gACj3CDC5U7I2t+isfNQ9Wep2JmIQuuuQOa/FJw7upISc4WMyzRpQRbbuIkDpqEUACc10lBipAuSBwYuD59DY6R96J69xPNsWjsXNS+/zwsF1ypPHhhWdgGjpQ9xzHibgiC0FyhUBAUnxtujKwN4f1eaBynoeUkTaD8WNw9npJJBWNUatguuyFmZ+3KnWtPaVKmPVW5sqWICEkflmXAANKdEqV9TVi9EYZe/ZF/2Q3NpYKvnYmwrwH1X36A/ME3ShXxmtPOgW+Pu6TU85ZyvaocSY2kesbChQuxf/9+fPXVV3juuedQVlaGpUuXprptXZpGzeKNQ1UwDH8AaqsDurJeyL/yZtTu3YgTT96N8q0LofWcRL5ZJ3vepnd+QtG4+XFPksF6F/xuZ8xdjapX10U2Vho3X9qxWZVnVZxhURnMCNWdhNrqQKD8mJTaVXbrKpRMWIK6D3dIpQQZtVZ6PV1ZL+RfcRNq923BiSfvQfnWJHa+J4TkHEalhqFX/0galFaHkolLcdqMJ1B6y8NwHngFvmOHpckPMX5Ie0J566TBCdCcmgKBR6jyOE5uX4Kq1x5H0Zg5Mc+t//IDhBvdqPv7i5Hd5rcvkXabz7/iJhh69VdMhYqXCiYuhhepjNaEFcPaK9n3J6RVAi+bXDT06i+dl8ufW4yKl1bBfuk4MHlmBMqPSevCVHkWFFzdnP4FNKddTh7SHUV2g5R63hL1X9IeKaviRU6N1ajDTcPOxTPvHMWoK+fhVyVGVP/tIflJeecaTBu2AHM2uqTn1XkCCFlKodcZFE+SdS4veF5QTn+or4XKViSlTrCWfJx253qAYQCeh+vzN+H/6QhYvRH1/9qH4nHzULlzLQLlx1C7bwuKx84Fo8uTlRIEmkt+2gaNjh00UboXIV0Om2dG/mU3yjaMLRo7D2DVUqWt6MkPraMHQvW1EPgw1HkWFAydKt3xAJpKmYY56fU4dzXq//kOSm5aBvBhgGHANbph/81Y1L77LGyDRsfsNl/99pMovWUl1E3pX9GSTQVjGBasVt/hC9SpKhfpMIxKNrnouO5eVDTtJQQ0T1iWTFouPYVzV4NvcIE1Nk9aRqeQO0xGrJh+MaxGneJbUv8l7ZHSKl5dWbKbIcXDsgx6llhw97g+CHE8WHgVD/CeRQasu+MCmHQMvAEBpvx8GPU68LxO8STZyDFwmLUoUEhrCDe6I4vb922BvmdvWPpdg6pdj0VdQMyFZeC1qN2/HdZLRoE1WFAy8UEwLAuuvhY1ezcqbsIk5UKHAhSkCCHgGz3SYAJouijatRYlN6+QxS1x8qPk5hVgBB7VTSmnaqsDjpH3QhAEMAwDPuQHVBpZfAnVnEDYUwvXwd3SJrOs3ghNYfe4d4cBQTHlpC1VsVKxQL0t70+5/l1bq98/y6Jo9O8R9tWD1egBQXnCEgIPXVkv2fUBm2duWiOmkEJ+wwIwjAlA7HUOVZUj7ZFU1BKrePn9flx44YWYMmUKVfFKQFy8Pmf9R7h95T7MWf8RfqqoB88Lio91evyocjbC6fHLHsOyDOxmPYrseVBpNFK6gkhtdUDFCDC89ygCOx6A4b1HUcjXItzgBAAUTVgiS3EwXb8AdpUfrpeXxaQ1iOkPjEaL4hsWwHbJKGlwAogXEI9BpTXA2u93UBlMOLl9CX5++l6cfGFZZJYSyrduxVxoRqNT/AwUpAjpWuIuYufCcFw7U56ade1MgOdi7r5W734CAhfAyecfRO3ejeAb62EeeJ30erZBo+E6uBu2/sOb01f+tgKWftdAZba3KRaJg47odsUbdEQvUO8+82mUTVl9yrn2yb6/mOtfvnUhTmyYQWm0XUwy3z/DqgCBR+3ejTj5/IMIuSoVjwUIAhyj7pNdH4BhUDRmrnIKeYKUrbYcP4SIqIpXCoibIUUvXl+5+aBU4UKkVIVryW0D0b3IDI8v2Fw62KBFA2OAY9x8VEfVHi8eNx81+7a2WGeyBgVDp6J23xaYR85B6HeLkacWYLMa4fL4EXqrxZ4Dbz+JkokPonb/c8i/fAJURitURis4V1Wcux0h1Ox5Co5rZ0JltEnpFNHlCfU9e0PgOIScFQCrhspsA8uqqfQlaRXPBcGqtZ3dDNKBlO4mx5tRLXeG0M1qRcE1d4DV6MGH/GB0ekCAYjxiNXrp35U716D0pmXg6k6Cb3BBU9ANlguujLmQqtr1GMqmrmlTLGprVazWFqi39S5Hsu+f6zvIk2ZKfSjR9y/+XuA4VL3+R+kxrgOvSOna0UUnavc/h4Ihk2G/dBw8/+8T2PoPRxhqvPjPRtz0m25tyoagqnKkPZIaoKhUKtTU1ODAgQOYMWMGvF4vWJY6VjwhjpcGJ6Iqpy+mwkW8gcyqu36DxU99giqnDwPPK8aEq8/B6q2HkG/WYebIxSiz6SCwKoCBbGdkoLlMIOeuhmf3OviunIf7Nx/BmMvPxKRLC/Gz0q1choH9mjuhNUcFDFb5AgI8Ly2aK7x2JoRAg1TqU2UpgOn838LS7xqcfH5p84l/7DxoinuAZZV3vqcgRUSsWosfVrW+vu3MxbvS0BpyqlpOwgw8rxjTRvWGWqWFY+x8VO9qnnApGDMPf3qnHBMGd0OJ+AJhDvX/eAe2QaOVK3rlWVB68wrwfi9cn76GsN+LwmvuAN/oRshVGTeVSwj62xyLOqoqVjIVjeINYFp7f8r17xoU+9DEpWAYNu73Lz7eMfJe2WMC5cfA6PLkZbs/3BH5+ZDJcH68EwVX3Yra/c8h2G8Shg48A0HB3+aULaoqR9oqqQHKM888g08++QQVFRWYMmUKNmzYgJ9++gn33HNPqtuXlTRqFkV2g2yQolThIt5AhuN42M16VDl9uKp/T6zeeghVTh/sZj1cYT1WPPkFqpw+rLvjAhgUggTv9wKIBCZ7ngoA0P9XRoTqyhWDSqiuHGrHGfJymUYLisfORWX0GpQxc+H6/E0AgMpoA6szoCpqU8eiMXNgu3QsKl5YJp/B2bUWpbesBGstpCBFSBfi8jZPwpzdw46Rl/1Kmny5+NfFuHfCw/D7/KiqD+H1j1wYdvHpMNpMQCCE6lcjM7rF4xdFNn1tUc68aOxc1H7wAnzHDkupYJGd4X9E7d6NkZ3cR92vPNHCsp0Wi1q7y3EqJVkp179rUOpDnLMCAJT7Oxjp8bzfG/OYcH0tavdtiXlesK4ctv7DAZUKtitvRjVnxkPPfIp8sw4LrnsADW8/TtkQJGWSmrp+++23sXHjRhgMBtjtdrz88st46623Ut22rGU16rDktoEoshsAQErdalnhQhzIRCuyG1BR14Bbhp+Ls3vYYc7TSIOYsb/thT+/9IX035ve+QnGEQ/ElNJ0ffqa9N/OxsjakAKTGq4Dr6Bo7NzYxx94BSzCUhsEgYfQ4Eb9Nx+jZPxidL9rA0omLEH9P/fC+9X7AADbZTfErlF5dV3cGRzwNINHSFcTDIVhN+uxaMoAzL7pQln8+vzrSsx++gsc92qwcPMRfPnvGliMOvzPJ/8HQW+BY8JDKJ3xJLSOHvAdOyxV9Cq9eQVKJi6VyhEDkO7qht01YDV6cO7IxrFhvze23PC1M8F0Yhpha3c5TqUkK+X6dw1KfYjV6OE68EpMae7icfNk+5Eple9m8ywoHjdP8dqg+u0nAS4ElVYHn9uJfLMO3x534dE3T8I3ZAG63f1Uh6yzIqSlpKZV1Go1tNrmgG6xWKBWZ+eMzKlW10qGWIFr3X2DE76POJCJXoMya3xfbN9zFE6PH9NG9YanMSTdjYkerABoChLAismroGZ4gA+jZt9WqeqGccQDeOLNEyiyG2CxmYDLbgBrMDfndzfdyg03uKQZNnH2jtHo4Dn4JjwH35T2L/H/dARAJHjFq/UPPhxnxjI7+wshpP00aha3jjgX61/8ArMnXiiLX+f0sGHykO44q5jBjkWD4GfzoNWwuLGfEbU7lkSttZsHQ6/+8B07LG0iW3brKsX0VgCyGeK6dzah4OrbZWtaWJMNAh/utI1iW7vLcSppWpTr3zXwUMX0IT7kR7jBJQ3kWb0JfMgPlbkAEHjp8VL57mvugDa/DMG6ctS89RewRhtKb14h3WUR07wAgA80Qmhww/DeE7KNGedsdOHZJUNRZMrrrD8FyWFJXTWWlpbiww8/BMMwCAaDePbZZ9GtW7dUt63DxVuU3rPEkpJBSvSC+HiP6Vliwep7LkVVXSM8jSFs33MU3x2PVOEy52nw+t//jYVTBmD11kOywYqozhOAX2WE3awHz3MoHDYNGDoFYNXwwICp1xUgHA6Dq3fC3ZT2kH/lzbJdmItvWADGYIHT44c+3IDqVx5FaVS5T1lAK+gGRqODwAWVd2r2eVA0Zi6qXm1ODSseOw8qs+2U/p5UOpOQ7CMIAta/GLlrEh2/zulhw7yRpfDtWYvyqDgksGZUvSovP1y5cy1KblqGiqofpZiiMtoU4w8f8kszxNVvP4lA+TE4P9mFwqFTAJYFeB41+7bCd+wwDL36N/1c1aaYcqqxqLViIaeapkVptLlNEHgIEFA84UFwrpNwHXgF4QYXAvoCFI2bj6qda1C5c63Ur1iDESFnJRzXzkR1U0p2uMEFta0InKcOrEYfqXj36WsI1pyQdokXied1NA2cIxszzsPCza6EmzMScqqSruI1b948fPfdd+jTpw8uuOACrFu3LtVt63DJVtfqKMncrWFZBho1iz/+7V8xa1aK8vNwzw19YDZo8diswQjzPBZNHYBHthySDbCsRh0EgUeo+mfZSc844gFsefMkJg/pDvfex6SKW3UfPB+ZUbSVAWotghojfq7w4JEth7Bi0tmR2TpBkOV8hxtcYFUa6U5IzbtbYnLCi8fNB9t0ki295eFI6eGoKl7tdSo52YSQzsPzkOLarvePYf6t/bHmucOYPKQ7fHtaDEReeRQlk5Yp3j3w+sOw3bgMWpUAVq0Ba7KieNx8abNFcV8URqNrnkVumiFmtHqpglH59oXg3NWRTeb6D8fJpvVyycYUxVg0bj40Rd2TjnGt3eWgaockHrH/VUX1DceYeajlDPCEeBjNepTeshKAAEalRgNjAF/vRvXfHobKaJPurAgsC3Ah2USlY8Td8Hx9ILai17Uzwej0qN27CUDz2tZ4qeuEdJSkImpxcTG2bdsGn8+HcDgMk8mU6nalRLLVtTpCW+7WiKleL+w9iqv694TVpEW+RY98sx5qNRsZ6DQtNrWb9bhr7PkoKzRBr1PDZooMejivKyZvueHtyEyHPU+FQIuqHZUvPQLDzX8EY7Lg55MuPLXrK1Q5ffDzLErGLwIj8ACrQuG1MyMbofm9cB3eg8Jht0MIc+AbXBAYFiUTHwQgAAyL2ve2SQtWO3IAkWzpTLrLQkhm0WiaC4Z8d9wJlgGmjeqNM4sZVCgMRMI8I90hsV95M9TmfEDgEYQay1/4Ft8ed+GvC65CkaACa7TKKw+9vx0AUDLxQfChAFQG+XkqOnXKNmi04j4OrZXjVYxFO9egdNIyMLaipONNorsclKZF4lHqf9WvrkXRxIfg3L8dXNOGpCqTDXVhPTa+8b+Yfd3pcIy8V6p0Fyg/FhmERC2Kl7YKuOYOMHm2yAbMDAuwLMK+etTu3SSle6mtDuTbTVh33+CUpMgTIkpqgFJdXY2XXnoJLpdL9vMlS5akpFGpkmx1rY6Q6G6N1aiLubPSvciMm4adg1VRd0cWTx2AHsUWeHxB6bWqnD4s33QQRXYD1t03WAoO8fKW7XkqOBvDsCikDFjMefjj60dw/eVnSWkXdpUftW9tlM2e1L2/HeEGl2xxaf5Vk1H95vrmx113H/gGl/S+HVl7P5mcbLrLQkjmabnOzuUNYNMbRzB79FmKMancFUTh2EXQCUEIQT8q/rZCOp4Xjvo9nvpAh/IaLzRqFnYNo1h5iGt0Q6XW4eT2pbJYgLzmtDCxFHu0ZNZ5xN1g0uuKbETbQalVlKZFWuJ5AeFQSLH/MSE/bP2HyzIaHDcuxl1XFqDmb813CR0j7kbdhzugMhcovo4mvwwna31g3n5YutOYf8VNCDed28XMjKDGCLux47NOCImW1JXb7Nmz8c0338BqtcJms0n/yzbJVtfqCPHu1vC8gB9PumN2ma9vDEqDE/Gxq7YcQo078pzW7vyIecvR1FYHvAEB2947AeOIB2Do1R/F4+ah7NZVKJ20DGoNi1nX/QoFVj0GnleMyf+fvTOPb6rM/v/n3uxplqZLWnZ/oww4ClJlG0RcEGFARKBIAdkUGFkEQTZZFJBFEWEUREUcQATBEQQZGMVtxp3Fcdy+oIyOFIU2XdI0abPf+/sjvbdJc9OkS0rSnvfr5eslyb23z02enOee55zzObe3g+PvT4fuqvx9CzLvmh1ICdObINPqAZ4TnRPxuLeegenmMQAAVeuOSB8wGbzXDZ/DWq8uxjzPweewwmsrAsBE7frcEOUbgiDiQ7BgyMvLBuB3rY2YN/YGHD5pgWZwqAKhZvA8HDtVBJVKCX+lTcyXB6rSvP7+NOYMuwr7jv8IH8ejApoQFUNNxx5oNW4FFPp0FB4ITx/jvB5kjlgoSrHXpZO8QCQ766+0Ua8RIm4IGRm/FFZKzj9WrQ2LCHLllvD1/OhWpN40CjKtQbp7vEyOt04UwjzmMbSesAapfYbD8dNXMI95DKn3b0Ha6BVIMRqRwjvrta4TRF2IKYJSUlKCV199Nd5jiTuxqms1BpGiNX4/H+aICM0ZpZyQ0nIXMlM1USM/kfKWXbpsLJhghlLFQtdvtJizrenYA+n9x0PpcUKp8uGB4dcgxe/AJandGZaFKvt3YpoB7/VI7r7IDenijktIbUodIxk1oyGajj2QNXKh+NAhlZNNDcoIIjEJFgzhOB6Vbh8G9r4C5QolMkavgoLlcanUjc1H/oeJt7cDKspEqeBgfLYisJwPqXol5CwDp9uPp9+6hDnDH0M7gxy83wtPyW+QafSS58p4L8q+/AfSB02FPKNdWA1LLHUeshSJ2pchM1B26hgy2/y+cT84gqhCyMhI06uwctQCFAeJ0GQOmQG/q1JSdljqd6BMbwMwTFgNaeaQGQDDYmwvHSyvrRRfN+cuhEdlgMZrQdH+J+u9rhNEXYnJQWndujUqKyuh1Sa/lFws6lqNgZSE8NLJPVHmcEs6IizLSDohNocHGamasGvVjPxEyltWMSyQAvgcVlysWlSFAtGC1x6vNkIjF4D3ROgOWzN1gWUjSAnL6p3bHUzNaIjz3CmUAiHFfzVzsqlBGUEkPizLoHWGDikaBbw+Dl4GKLS78OT+r2GxOpFtvBL+iiIgwu/5QrEL9991LUx6NUrtLqQaVEiTV+LSq9UPbNljlks3pLUWIOX33VG4f23A5k1YV+c6D4ZhoTC3Q6txK+B3lMFfaUPZqWNIuzmPitiJuCFkZFisTjj4jmFd31P7DJeUHZb6HXhKfgP8PpR//WHIdQI1plPE5otAVX+zN9Yj+97HUVD1/CC83php3AQhRUxPb2azGXfffTd69uwJtbr64T7ZalCaEqloDcfx+DG/TNIRUSlYLJ3cM6QGZfboHBz5+Cd0vqJbTJGfSHnLNXNXpZwIy4GnkHHnrHBlLoldRUauDJEsFJU+FCoozR0aHMmQioY4z50CBt4PRY2wtAAp3xBE8sHxwD8+/QVThnWBXquAJoVB+WcfwnTjyDAbo7vzYWw+fB4Lxpshl7NQKVg8OPRKFO9bHmLLSt7fDfOI+bAc3BCWe59223jxOMbvhdxgrvOYWVYeKIhXqCAzpCOzze+piJ2IK8EZGZYyFwwfhtZelX/9YZj6lkxjQObQB0OVuu6chdIPA9kwUpkOwQ0dBXy2IjC8nzIUiCYnJgelTZs29ep7cuTIETz//PPwer2YNGkSxo0bF/L+li1bcODAARgMBgDAPffcg3HjxuHMmTNYtmwZHA4HunfvjpUrVyZlY8ia0Rqr3YX3T53H7NE5YkdlIbKi16qQolZizfQbUVrugs3hwZGPf8K4QVeLzkh9Ij9C7qqnvBKaKAWiDMOg9MPqJk9CTqq/whayALOaFMhNWcge+xjA+eGvsIHVpUKuS4W/wtbgSEZ9oiGkfEMQiY+UuuGcvBy8cjTQ/+kvD90EQ/cRsJ/5DMbr70Cre1cBPIfSCh7rDvyIUrsbCkXgN63XquDx2CQ3M0w35SJ90FQoUrMAhkXRW8/CX1EGzuUAELAnMoWi3vdR1yJ2UhgkGkJwRsau9y5g8V3zxEiH3JgJ0233wivTIvveVYDfB4AH53EG2gUMfTAw3+RKWN7cKKpxCQ0dleYOAWe7Soo7UqNlylAgmpqYZld+fj7Wr19fpwsXFhZi06ZNOHjwIJRKJfLy8tCrVy9cddVV4jHfffcdNm7ciJycnJBzFyxYgNWrV6Nbt25YsmQJXn/9dYwdO7ZOfz8RMaaoMG7Q1djz9hlMGdZFlBPOMGrAskxVmpcWKqUMGakadL6im2SkJJb+KgLBuasLh86D89jGkE7LAkLhqPviObHJU/qgqdXpELmLoJc2xu8AACAASURBVMhsD5ZlwvqtZOUugsKUBYZhGyWSUd9rkPINQSQ2UuqGz+z7Cg+Pux42hxcqpQIONgNZf7gJBXur8+A1g+ch1aDCjFHdwDKAxVoJhZyFTqGUbhhbYQMrU6Dkg1dhuO5WUYWw9MNXmzy6SgqDREOpmZHBygDz+LUBZ0ShBCqsKN23pLoRc1Dk0TxiAWz/eR/G7n8S1biAQLuBknd3oNX41eK6GXHt1adShgLR5MTkoPzwww/geR4ME3sx+WeffYbevXuLal8DBw7E22+/jVmzZonHfPfdd3jppZdw4cIF9OjRA4sWLUJxcTFcLhe6desGABgxYgSeffbZZuGgCEZm5qhuEZ2L2iIlHMfDXulGsc0V1qxRqr8KEJq7uv4IMPH2hdAZNWGFnuaRC2H9+HUACAsFB/JQn0TGuNVQKmRhalmlH+1HxsD74a9qzCjPaNOgSAZFQwiieSLYo07tTRh5W0fotQr4/Bz0WiWe3hNoVrth6nUofi9Uhct5bCMeHr8WxW4W8/7ykWj7Vk3rFf7gNHIB/G4nyk7+HWn9RoNNMaL1pHUAw8I84uEmtyf+ChtK/7UvtG7gX/uQOfjPETdUKOJC1ER4NvD7/XDZrLDaK1Hi8EGvVYE5GljL0wdMDlO/sxx8Cq3uXYUSnwrmkQtgOfBU0G9lIWT6akXW2tZeWpOJpiYmByUjIwNDhgzBddddh5SUFPH12mpQLBYLMjOr6wXMZjO++eYb8d8VFRW4+uqrsWjRIrRp0waLFy/G1q1bccstt4Scl5mZicLCwrDrl5eXo7y8POS1goKCWG7nshJLqpZUhAQAzheUo8TmFJsqAqH9VaSuG5y7eja/DI/8NVADs3FuvxBjU+qRo7xrHnQ9xiDTpEFRUCgYCBg6+L3wgwvZrRQ7Mgf3HBi5EHJzO8DpAO/3haWIAdEX4OYUDUnWuUq0LJpinirkLHpdk4WhN10ZkuY6Jy8HJr0aFqsTOhUT0lgWEOyPDwUlHvE4i9WJR7edwHOzewRk0BXqgL1xO8HK5MgYOAVyQ1rUh6h4OwM8z4f3qBgyAzzPRxxPIkRcEtlJagk2Vfj8/V4vOEYGjyIFOrUC3qJ8lFRtLhqqOsmXpqRClpIKRUa7sKaMPlsR/PZS2CrU8KamB8RmOB/AyiHTp4JlQx8DI629zWlNJpKDmByUnJycsDSsaEgZ3+AITEpKCl566SXx3/fddx+WLFmCm2++udbzBHbt2oUtW7bUaUzJgFSO9pLJPWHSqbDn7TNiU8VgavZECcaYosLKaX9EQUkF1Eo5XB4f2mbp4fcDpX4VFHINeA54ZOtH4nX3L+kVEgoGqvJNWRYcIwtJqZAquC/9+HWkBUka11xgJRfg3IWQ6dMh0+obbRFMlAW2uc5VonkR73nKcTx4Hph6dxcs2fppWJrXqj/3QX6BHS6fFwqJtK3/XnLg+Tf/i9mjc7D7WKBmxWJ1gvO6Ubh/bWCzpM9wsGod/JU2yCQ6u9d86PMpU6C0F8TXGeC4MBtZdHRrlSphOJF6OjWlYlKiOEmRaO42Verz1w+dD3dqGoprqGkVHVyPjGFzwPi8IY1NBWEIf0VAbU6n0uDR7Sfx1Ox+SDNRk0Ui8YnJQZk1axZcLhfOnz+Pjh07wuPxhKh5SZGVlYXTp0+L/7ZYLDCbqxVTLl68iM8++wy5ubkAAg6NXC5HVlYWiouLxeOKiopCzhOYOHEihg8fHvJaQUFBWCF+siGVo712x0lMH9kVQ2+6Ej4/F7UnSk28Pk6MuphNGjwyqSf2Hf8WJ74vhNmkweN/7hNyvUtlXrSWUOnyQQ5OkRKSUiHTGsOKVA3X3So6J0D4Aiu5AL+xPtCfQJ/eKItgIi2wzXWuEs2Lhs7T2mrjgjde5o65XnKTxVruwvbD32LxhO7QD50P+5FqFS7N4HnYfOQCLFYnnt3/FaYM64K1O0/CbNLA7Weh6dgjLEqRlbsIvC5V/L1L2QTzmMeawBngJUVJgAgRlATo6ZQITlJtNHebKvX5249sgGbsSsm5odCn49Krj4Y5wemDpkKekorSj/8G6zX3wGJ1wuenBotEchCTg/L1119j5syZkMvl2LdvH4YNG4bnn38e119/fcRz+vTpg82bN6O0tBQajQbHjx/H448/Lr6vVqvx1FNPoVevXmjbti327NmDAQMGoE2bNlCpVPjyyy9xww034NChQ+jXr1/Y9Q0Gg6j+1ZyI1IFerZRj02v/xpy8nDAVMKEnCsf54LeXhYRvbRW+MIdn3c6TePCebujfowP0WgX8HB/i9Lzw95+xNLeDmDbBeV1wynXwQY0MjQqMtjoXFUBYkaqU0xK8wEZagFmFutEWwURaYJvrXCWaFw2Zp1KR3+DauOCNF3ulV3KTxV7phcXqxP73fsT0kV1gGrMaCobDfy85sPnIBZzND0R1LVYn9FqFKMV+6IsCjBswCQV7VtTY9Hgy5PcuZRPgroi7M1BXVcJE6OmUCE5SbTR3m8p53dJrJHjJucHznLTjkpoNyGRQ9RyJXYcvwGzSQC67/BEwgoiFmGbqk08+iZ07dyI1NRXZ2dlYv3491qxZU+s5WVlZmDt3LiZMmIC7774bd955J7p27YqpU6fi22+/RVpaGlatWoXp06dj0KBB4HkekydPBgBs2LAB69atw5/+9Cc4nU5MmDCh4XeaJAg1I8EEL95yGYvdx85g+siueHFxfzw1ux86ZBsA+OEtzMel3ctwYetMXNq9DN7CfLCQdngyUjXYfvhbPLL1U+w6+j0emdRT/LuldjfsslTwqW3B6NLgN7TB4a/skMtlYFlGzEVVGDMh05sCNSdV/UnkxkzIdKniv4FAnUrW6CXgOT98DisYuTLkfeE8zuVotEUw0RdYgmhOSEV+V//1BGwVbgChGy8HPjiH2aNzRHsjOBoHPjiHTu1NGHrTlVi4+VOMXfspvivksOnN/4rOiXB8pkmDB+/phiMf/4RbugeiojVr49IHTAbvdcPnsILnuTCboGrdEaxKI2mLGtMZEJSRgm1kbQpIshQjssYsR9boJWh17ypkjV6CrDHL66yYxPMcfA4rvLYi8TOIFcFJCoZkZeMLz3PwVdjgtRWBAZA1eglUrTuK78uNmQDDwJwbut5mjVwIuxuS35e35Ff4OR6/+YwotbsxJy8HlS4vOE46ekcQiURM1sblcoXIA998883YtGlT1POGDh2KoUOHhrwWXHcycOBADBw4MOy8zp0744033ohlaM2OYL1zk16NvDt+j+z0FBSXOdHrmixkpmqwcEL3sBQKr60MhQdClW8KDwQ6wErtVhaUVMBidaJz+1Tc3cuMVDjw3KwbUMlowIOHptKC4n3VNSR5IxdBmRLeN4Bl5VBktUerCasBnxee0ouwfnJAbLImJXuYNWoxssYsR2FQJ3shX1ZYBBtaP5IIu5AE4PH6oVTIGu04IjGJFPkVauPksmqxjh/yreImSxuzHjzHo9gWOHfkbR3F6DAA7Dv+I+bk5eCZfdUR49mjc/DSoW8xbXhXzBwVkGLnKsvE37uqdUfJJnSyFGNY/VzJ+7vDm9PmLmqwfGpN+6XIbBumgAQg4DhI2TifFyVvvxTaRK+Of78hKa7U+LZp4XkOntJL4OzWsNTq0g9fDchkD5mBknd3IGPQ1JAeZDzPIUWnQUruIliC6j4zh8xA2aljKLnmHqSZzXhsyh/x7P6vYLW7IorqEEQiEdPTmlwuh81mE4vVf/7557gOqiUjSBE//VA/lJS5sHbnyZDaEZNeDblUvQknHTFgeH9YStiSST3x/IFv0Ll9KhYObQXnsfUotxWhsqrfSWGlHBXHahTiHQikS0AiPYpl5eBYGS7uXSae4y2+EGiUlt4OBXtCc2OFVKvWk9aB97jgKb0oFvNljVoMVqtvcP0ILbCJgVIhw9CHD0c97sjTw5pgNES8CFYLFAhOJ5GxCHE0rHYXjDoVXj5cXQs3e3QOdFpFyDV+yLfilaNnsOrPfWAtd8Fe6RUL5KcNh/iQxQT93qWEOwr/9gQyxq9F5siFKKrayJFpjXCeOwWuoixEAphtoJhGLM5Bbcc0RnpqQ69BsrJNi7/CBp+1QHRKgap19+9bkD3mUXiLL6D0n3vhvngO/j/ejYuvLBWdEOsnbyC1/2SUK9KRPXYFuKqi+LJTxyDvPgKH/2XBxCFmPLv/K/yQbwWAiKI6BJFIxOSgPPDAA7j33ntRXFyMefPm4dNPP8WqVaviPbZmQV2aKgqwLAOeh+icANW1I1I7HxzHg6+hrgVU5aYyMhz5+CdMGdYFeq0C9kovOJ6H1e7C3OFXwXksNOpieeNJZI5+FAUSzo7f6wXL8ZLjr5k+4b54DoX716L1A1skHSfe74OiKneWUapD+hM0xgJNCyxBNB16jRJLJ/fEmqD+THPyclDh8sCgVcLt5fDK0TOiHTKkqPDKse9x4vuAhLxQ/L5uZt8wR8dqd+FSsQMrt58QX6spDBLye4+Qv28rc6DSp0B2VW0dq06B3JgpNqcFAjaz9aR1DfosYrFftR3TGOmpjXENkpVtOni/D6xCLfmd+R3WkPnpr7SJ7xUd3RpIZeQ4LHnxC6yc1gupKXLYOS1KrrkHh/9lwegBnfHJf34VnZNoojoEkSjE5KDcdtttuPLKK/Hpp5+C4zjMmDEjJOWLkCZa4WhtREqZcHv8sDlccHurHR5bhRuHPi7AmBELYDlY3YTJPHIBnLIUjBt0dcgYFk3sjofH3QATWwGnVNSFlXZ2OI6Hs6wEaqMJMlloOk6klCo2SqqV1CLYWPUjtMASRPzhOB4XLHa4PD5MH9kVaqUc9kovXjl6Bla7C+tm9IVczsJqD0SEAWDdjBtF50TAYnXC7+exeGIPPLHrlGiv5o29AQadQnRcgoVBghF+7z6HVdLmlDh82PXehUDU+MhGyFJSxVTUxoyyxmK/ajsmlvTUqH2kKMU1qWBkcnBel/S663WJ/y+kQgsIkcDfygI1qgq5HH85dKZKAEeL27prsO/4WQz64xUAEPG3QxCJSEzWasmSJVi7di06dOggvvbggw9i8+bNcRtYcyBS4Wi0/E+O48EAkikTv1rsUCpk4uK/7L5eSFErcPCfP8NR0Q4T71kBpYyHx8+gBBpowaJDtgEb5vSD2+PHrxY7/vHpLxjU5woY9SnwShlEuQIpQ+ah4ujG0FzYtzbBX1EGc+4isFkdQhbESClVcoOpzqlWtLgSRPIg2Lm5Y64PiXIIFNucMBlVeGRST6yrigq7PD5J+/bLpXK8f+o8Vk7rA4fTA2u5GzuOfI9HJvXAhjn9wiLRUhFqKVtkzl2E3f8oxNn8Mqw/Aky8fSHSdXKwaYZGj7LGYr9qOyZaemosKWSU4pocCPOX51TQpmaFOczmu+eC1aWi9aR1YFValHzwakgDZbkxE9Aa8cLBH2E2aeD1cTjxfWGY8z9lWBe8vGxAzFkcBJEI1PrE99hjj6GwsBBffvklSktLxdd9Ph/VocRAtMJRKYSoy563z4TVjggNyqx2l9gHYPVfT+CJqrSI46cu4PipCwACi/2a6TeKxijQfbkSK7efwJJJPbH+ldN4KK8bWgc5IpqOPWDqPxEs54M8w4yUe9eA83rA2y6i9MNqw2ipId8J1J5SVddUK1pcCSJ5EOxcJPlgm8ODSpcXb3/+i5jixfE85o29ARv3fhlm337It+J/F8tDep0INiyY2iLUNW0OozFg7MA0/PxbOc7ml2HTm24su68XFCnRo9l1JRb7Vdsx0WxmrCmwMp0JrcY/DnAcGIWSUlwTDL/fD5fNCpe9EiUOH079XIFxN7cRC+B95SUoeXcH/BVlSB80FZxCg9SbRsNr+UWcMxkjFuKldy+h1O7G7NE5KC5zSv4GZSyDTJP2Mt4tQdSdWh2U3NxcnDt3Dj/88EOI2pZMJqtzZ/mWSKTC0dryP4OjLmV2D6YM6wKjTgmdRhlS5KbXBhS1LFYnWJYRlb+EhXrp5J7IMGpCFl9hPPqqQtRdR8/iz8OvBXf7Ypj0SugYFyyvrQzZdazg1bDvXxsyRiEVQSrNQCqlqq6pVlQ/QhDJg2BXBPlgqU2VSXf+IWxnt1N7E9bN6Auvn0N+gV10ToDQXieRUlKiRahr2hwhklyXesBoREq1ima/oh1Tm82MlkIWKcJCGzzxo66qkzzPwVuUj5Iq1S2DMRN3Dp4HW4Ub9r/OCjtentYGez8pQu8u2egwbg2sZQ64fAx+qlRjxG2Z6H5NK+w+dgYAJH+DFDEhkpFaHZQuXbqgS5cukMlkGDYsVGXn0KFDaNeuXVwHl+wESwbXljsdTHDU5Yd8a0jOdnCRmyFFhXUzboTL44NcxsS0+ArjKbEFxvJDvhUvvvkdRt7WEa3VchS/tiqsYD773sfhlEpFkCvj2qmd6kcIIjkItnOCfLAgjS44HVIpXVa7C3I5C47nsf3wt+J7ndqbkHfH75Fu1OCJmX1h0qtDOtILKV0cx9cpQi0VhWkI0VKtotmv+tq4aClkidSktiVQH0lnf4VNlAQGAt+R89hGpN6zQnK9/cXiQr/r28GkV8HFApdcXqiVcjgqveDhCvn9CL/BrLQU/Gpx4MjHP2HmqG7x/yAIopGp1UH54IMP4PP5sHnzZmi1WvB8oLmPz+fDpk2bcPfddzfJIJMVQTK4Lrt2kaIuLo9P/P/FE3uICjiC06PXqqIuvsJ40o0qrH6gD6x2N2wOD94/dR7dhv0/yV25MrsrrB7FnLsIPp8PlhgWwYb2MyEIIrGpaefkMhYVLg82v/4fcWMmOz1FcrMmVacCx/GiAphJr8aEIVeH9D1Zdl8vpBlU8Pl5+P08yhxulNhcMAYVzgs0pULR5XIEWK0ercatgN8RkJMt//pDpN2cV12jQk1qm5S6zgOO4+H3eiW/I6WcQfa4FeCCvtvUm0bjF1cKnj/wDVL1SuTd0RnPH/gmRETisam9sfKlL0QJb6VChmf2fSXWqVJRPJGM1OqgnDlzBl988QVKSkrwyiuvVJ8kl+P++++P++CaA3XdtYsUdUkzqPDysgFgALz45jch8pyxFN4HU2Jzh6WDyZW85K6cpdyLXe9dwpSBi3FFlhZ+Vo7CkgpkKTxIHzAZZZ+9KdamhCnVNLBZGEEQyUFNO5eqU4VtzACQ3KxhWQZXtDKK7z3y3CdhaVsPj7seXh8fkroyd8z1WDSxO57cdTrmCHVjUl9HoCGbNoHUoF9DbWruIigy21anh5HISJNSl3kg1E15yiuhCWosmtpnOGRaI1iWQcnxHXCeOyV+t3tPOXDwn98AAJYECU0Agd/Hxr1f4qnZ/UI2CGQsJBs6E0QyUavFmjlzJmbOnIk9e/Zg3LhxTTWmFk20qIvFWikpzxlL4yWfj0Op3RWWt71mx0lsnNsvrGhTM3geNh+5gLP5ZZj/Uhl2LL8dTOlvYI5txMWgbrVCA6mai2DNnSVZSip89hKwSg0VbbYgdi29DWlp+ss9DKIJibQxE2kTJVjIQypty6hT49EXPwuxW5te+zcevKcb1s3sCwANehirj9NQH0egoZs2krv1VaIlbNVuPYmMNC11mQdC3VSaXoWFQ+fBd/ogUnsMFhuLCmsqV1FW1Z/nSfS4dSEO/jNwvlA/2rl9Kibe3g4mrQzWSj/AczAZqAieaF7U6qAcPnwYw4YNg9vtxo4dO8Lenzx5ctwG1pKpLepSn8J7IOCc/FJQDo/XH6G/CgdDVdGm3+vFL4WV2HzkPM7ml4l/IwUuFFWlegGhjaLKv/4QGQMmBXaTHFZUMBqovR7xWFXrjki7ZWyIIaZoSssgLU2Pn9eMjOnY3y09EOfREImMXCZt3yLVmygVMijkbINqS2J1Gmo6MaxWX2dHoKFpYbHs1pPISNMSi0Po9/vhc9ig8Xsxd/hV2PXeBaw/cgnLx0xC0esrJNfUwjcCTZTTddWPafZKL3pfm4VpN6fBeWw93FUF9trcReANHeg7JpoVtToo58+fBwCcOxdI4XE4HJDL5VCrG6/QkKgb9Sm8BwIFqet2nsSUYV0iOjhC0SbL8VA6y1Fq/1F8f9l9vcDy0h2aldm/Q5rRjEt7VogGOmXIPPzKaaCo2llK7TNcdE6E86hwkyAIAY7jUenyYk5eTkgNypy8HFHYo6bdSjOoG5zSFYvTEMmJUWS2rZMj0ND6kFh360lkpOmIKgvt98NjyUfRgWrFroVD52H9kUuwV0ivqaxaByDw3Rr0WnHuv3/qPB66+yqU7l0WJmhDaynR3KjVQZk9ezYA4M9//jMWLlyI7777DgzD4IYbbsCTTz7ZJANs7kg1GqstRaE+hfcA4PMHdiClpEBXTO0FHZzw2uyicZX6G1xlmeTiCDAorKFIUnF0IzBwCTSD58F5bCNYtY4KN+uBx+uHUiFrtOMIItEItoGPbfscJr0aU4Z1QfssHYrKnFApZfjbez+G2a0lk3oi3aBuuFRwDE5DYxXEN7Q+hNXqkZW7SLS3lL6VGNTmEPocNtE5AaoVu5aPWQGrwyvdPd7lEL9bj0qHdTP7guN4KBUyqDg7raVEiyAmq/joo48iNzcXe/bsAQDs27cPy5Ytw8svvxzXwTV3ams0Fs1JiTWlQVj8ZSwjSgvvPnZG7K9iNqkhs13Cpb9tCEtvqPk3mAihbICXNJhqOY/1b13CxNsXopVRT4Wb9UCpkGHow4ejHnfk6WFRjyGIRCPYBs4dcz0sVicsVifW7jyJJZN6Yvvhb2HSqzHyto5IUcuxYuofwTBAQUkF3F4fHC4vTFEc82ibQLE4DY2ljNWQ+hChQL70o/1IHzAZMq0RMl0qZMYMSu1JZLgIil3uMmQZdHAPWwDb4aeqVTJHLgSjNaL1pHUorJTh0U0fhTwfGAwkgkC0DGKyauXl5bjnnnugUCigUCgwfvx4FBcXx3tszZ5IjcZsFe5Gub6w+M9/5iOs330ac/JyRCdl++FvoZCzcJZZYT+yIWxn0F9hC7tecCi73awX0HrSukCedtUCH4zcmAlrpb+qa/N/UakI5GsLx9HOH0EQwTZQ6EQvcOCDc5iTlwOr3YW1O09i3a5TKC13Yeffv4dCLsNf3/q/qOIgwTbw/tXvYv4zH+F8QTk4jhePEZyG2mxTJBtX14fCiDa0DgXyznOnUPjGelx8ZSku7VkBrtJepzEQTQyrkJw7/kobLPtWQ24wwXn7YqjGboTz9sUoYtMhSzHBzmvw6LYvwp4PKhgNraVEiyAm69q+fXt8/fXXuO666wAAZ8+eRfv27eM6sJZAcFNGgVgVuWIhePG3WJ145WiggVObTB28Ph5v/vMcxtyUjZQBk8GqdeBcDlE2ONLOoFQoW2pXMGXIPGx+60J1nxaNCoyWCjfjRSwpXi01DYzzecDKlY12HNF4BNvAmumnVrsLaQY1nprdDx6vH14fB7fHh/49OmD3sTOw2l1RxUGidZsHYisqb2jko6ZCWH1qBai/SXLikmnDeollDn0QPM8jc+iDYPxeGDIywHE8tFrAqFNALmcjPh8EC9rQWko0Z2p1UIYOHQoAqKiowNixY9GpUyewLIuzZ8/iyiuvbJIBNmfqq8gVKzUN3A/5VqzcfgIvLu6Plds/R5peBR2TiuJ3d4RIHJadOhZ1Z7DmoluzWLSC0WDBhLY1UioYKuKLE7GkgrXUNDBWroxJRYwUxJqeYBsopJ9OH9kVbc16qJQy0XYIkZB1u07VSRwk1k2gaEXl9VXGqq24nqu0x13WmGh6aq6Nfr8KT7x1CcvHrIDSXQbO6wYjV6LozadDJP23/asUYwdeDZ0mMKdrez4gEQSiJVCrZVu+fHlTjaNFUldFrroW1EcycGqVHBvm9IPaX4GiV5eGSRy2GrcCrFYPn8MKv9cLjpHBo0iBXhP4e7HIchoBIKXRPiqCIBIUjuNhr3TD7eXEQt5UXWz9SGraQKvdhXSjBmaTNuT8+oqDNOYmUH0eCiMV17catyJE9TAWyfW6RnEa0hCSqB/Ba6MsJRWpN42CLq01Zg39HXZ9cBF5PXXQcj5YqpwToLpofv74tVDoDQACqpteL4c102/E9sPf4sT3hU3eiJQgLje1Oig9e/ZsqnG0SOqy6NanoN6YosLKaX9EQUkF1Eo5XB4fstNTxIcHr80e0slWSPOCUh3WrThlyDxcSslGqww9OKcdPnsJMoc+KKaFkWQwQbQ8OI7HxWIHSstdIdLAsYh9AKE2kON4cBwPng+kZtW0hXURBxGojyx7Yz7YR0rL8jvK6qwIxjAsFJlt0Wr8aoDzAawcMn2q5Nga2hCSqB+CQ6ru0AWGGwbCcrBafGbskHl4/xyHYd3bhPQHE9ZeFn7wPIf8QkfIfF06uSemj7wOLMtQV3iiRUGx4ctMrItuLLnUUnh9HJ4/8E3I4izAyOTQdOwhdrKVpaQi7bbxgMcFn70k0PndViTKBvODl8Kr4YCKUpS8/VJYPi3vdcPnsNJOXQugpdazEKHYKtwoKKkQbQwQu20SEB686qNoGMu16xJ5aeiDfU3nJlJalr+yWoREeEiNZD+DrwnOj+J3d8J57lRgbLkLIdOnQ6bVh5zTWLLIRGSHtfp1L4Dq+aS7rj90f+iDgtceD5PeHzx2NX6xOKAxZgbW2xrNi825i7D3ncKQ39KaHSdj/i0RRHMirg7KkSNH8Pzzz8Pr9WLSpEkYN25cyPvvvfceNm/eDJ7n0bZtW6xbtw5GoxGHDh3Chg0bkJ6eDgC45ZZbMHfu3HgONeGpLZc6UupXNKdGlmJExoBJuLRnheicFB3ZHFKPUvrPvXBfPAefrQhtjDL4Cn8SnROgKi3syGakD5qKC1tn0k5dC4HkjwkgYJfUSnmDxT4i2aqnZvdDmqFhD2Z1ibw05MFe0rkZszw8LSt3EUo/2g8g4JzUfEgNtp9S18wcMgNcRRncF8+h8I31SB80FXJ9zuIZuwAAIABJREFUeojNpYL6xqG2GqKaWQZC/Wb67ZPAVZRJfv52eyW2v3MeC4fOg5azhzUvtrzxJIbduhBffFconteYwjkEkUzE7QmysLAQmzZtwt69e3H48GHs378f//3vf8X3HQ4HVqxYgW3btuGtt95Cp06dsHnzZgDAt99+i8WLF+Pw4cM4fPhwi3VOOI6H1e6CxVoJBkCva7JC3jebNFAp2IgymtEKRBmGBVhZdaf3KucEqK5HSe0zHEBg189nvQSZRi+mhWXlLkSre1cFNPmr8qBrkykmCKJ5oZCzcHl8IfLAgHSdR7A9s9pdIVK/kWyVy+0LOS7e1HywV7XuiPQBk8XoBs9HflCUdG5eexys1oBW4x9Huxlb0XrSOijM7ZB2cx7kxsyA3a3xkBpsP6WuGWyXfbaigE22l8BXViSOsa6yyDzPweewwmsrinqfLQmpz7/0X/vgt1vBe1xIHzAZqtYdxe/FcN2t4CrK4K+0SX7+JQ4fzuaXYf2RS2CMrSSdmHRd6HfUmMI5BJFMxG3Wf/bZZ+jduzdSU1Oh1WoxcOBAvP322+L7Xq8XK1asQFZW4KG7U6dOuHTpEoCAg3Lo0CHcddddmD9/Pmy2lvewW1O/f/FznyDvjs6ikyKkQPg5ROylIhSIBmM2acBUXR+oVoaJ1OmdVevEVIKKM1+AVadA07EH0m4Zi5J3d+DSq4+i5N0dAB9YzIXzaKcuOeF8npiP3bX0tjiOhEgGjCkqZKeniD2WAEjWeUTrRxLJVl0sdjRaX6hYCH6wF6IbJe/uwIWtM3Fx5yPwWPJDHt6DnS6/V7ohn7/MggtbHsClPY/BX2ELUQRTmjvUGumIFAlh1ToAqLLdKSh5+yVc2DpDHCOrjb3vlBAluLjzEVzY8oDkfbZUpBzW1B6DcWn3clx8ZSlK3t2BtFvGik4Kq9bBX2lD+dcfInPIjNDPP3cRDp+0AADO5pfhZ4tL0okx6LW1/pYIoqUQtxQvi8WCzMzqH5/ZbMY333wj/ttkMuH2228HALhcLmzbtg3jx48HAGRmZmLatGno2rUrNm7ciFWrVuHpp58OuX55eTnKy8tDXisoKIjX7TQ5UikP63aexBMz+2LacIipXMU2Z8QoSYZRE1YgOnt0Dl588xuMGdgZGUY1dBoDskYths9eIpkrLdOnodW9K+G1lyLl6t4oeX830vuPD8uvtRzcgPQBk1H4xnrJnbqWrCiTTHM1VklegGR5mxv1macsy6B1hg56rQLrZvaNqOIVLd3UmKLCkkk9sXbnyRBbtfvYGSyc0L3xbzYCwUpZkaIbrSetg53XBFJrHW6s2REY84ap10FTS71JzXQxuc4En8Naq3RwpBoWzuUI1CyMmI+S93eHq4SNfxwynSkmWeRkrFdpKpta8/OXmhNFR7cifcBklLy7A5zLgfKvP4Spby6sn7wRyC7QGsFqDWDUWtzZV4effyuHxerE4ZMWPDRiIUoOrg+RG379k0tYM/1GsCwTs1odQTRH4uag8Hx4WJ5hwn9kdrsdM2bMQOfOnTF8eCBs/dxzz4nvT5kyRXRkgtm1axe2bNnSiCNOLCKlPPAAzCat+FptMppCgegTM/uiqMwJm8OD3cfO4Id8K/53sRzTR3ZFulGD9lntINOZkJW7CIVvPFmdU3vnLHBOB8AysL63C5l3PQjnuVPgbhxRe7RlTECe2msrAiOTg9Xqw/J1W1KdSnOfq0TzoL7zlGUZGHW113hESzcN1ImoMH1kV6iVctgrvWIzxqZ8NAvpd+J1S9o5r8eD+VtPYcqwLth++Fvxvra/cx6L76rRkK+qji/4/ODocjTpYMn3cxeB1aQgfdBUgAGc506FKTH6K22wHNgQk51NxnqVprKpNT9/mdYo+VnJtEaYR8wHWBkyBkyC/buPYbjuVjGiUvLeTpjvfghHPv4FU4Z1gV6rgL3Si9dPF2PMvWtgtVWgxOHD5iMXcDa/DJ98c4kK44kWT9wclKysLJw+fVr8t8VigdlsDjnGYrHg/vvvR+/evbFkyRIAAYflwIEDmDRpEoCAoyOXhw9z4sSJokMjUFBQEFaIn6zEqt8fTUaTZRnwABZt+STkPIvVCbVSHrSLaYRMq0erCavBe9wAw8BnL0Xp8ZeRetMo+CvK4LMVB3YEI+z6yVPNaD35SfgdVlx87ZGwotCaebwZA6cA4Jt9RKW5z1WieRDPeRqLPeMBKOQybHrt3yFRlKbePRb6nUSKbuRbAlFrvVYRcj9n88vwxFvAqolrIGc4AAyK39kO98VzIecHR5ejNYCM9D4AMDIFeJ5H9oTVYOVKWA48Va0GNWI+ZCmpsckXJ2EDyKayqaEOqwe83xsx06D4+F9FdbXMO2eh9MNXxe9ebswEz8gwbtDVYWt1BaPEtGfD12cqjCdaOnGzQH369MHmzZtRWloKjUaD48eP4/HHHxff9/v9eOCBB/CnP/0JM2bMEF/XarXYvn07cnJycN111+HVV1/FgAEDwq5vMBhgMBjiNfzLTqz6/bHIaEZ6OLBXesOK5uX6tDDVEq8mHbo7H4bt5AFRqSRzyIww5Rm5IV06XeCNJ5E+YDKc504BCM7jXdYiIirNfa4SzYN4ztNY7BnLMjjy8U8hO8xHPv4JM0d1i8uYoiEVvcjMXYRH958HANgrvWF2tdTuhkuWApNeDZ7nkHZzHgotv9TaWDGWLvZS78tSjIFaEXclLIefiZhyGy0SUtcGkIlAU9pU4fPneQ4eWxHMIxeEOINZuQtF5wSoSvv6+xakD5qKwv1rqxzGBXDKUtAhWxO2Vtsq3I3WTJQgmhNxjaDMnTsXEyZMgNfrRW5uLrp27YqpU6di9uzZKCgowP/93//B7/fjnXfeAQBce+21WLNmDf7yl79gxYoVcLlcuOKKK7B+/fp4DTNhqYt+fzQZTamHAyG/u6YhrLljB1YOi5PFzuNnMKznPZCrNUi/434wMlmgYViNCEikdAGZtnqxqy23O1FzngmCqD+x2DNjikpyh/lyFQhLRS8qGA1K7YFd8QMfnMPs0Tl4dv9XkuONFh2JRiT5eAFhMyhz6IO1ptxGi4Q0dJwtBYZhIZMrUfTx35A+YLKYTseDEZ0TAZ+tCIq0Nmj9wBb4OAZFfjUMDCu5VtenmShBtATiGsMdOnQohg4dGvLaSy+9BADo0qULzp49K3le9+7d8eabb8ZzaElBfTonR7pOh2wDnn6oH9weP7xeDsU2J1L1SkzP7QqWCSyGwuIn7BgJyjt73j6D/j06gNUq4Veqweo0kEfY3YmULiDTpYqvR8rjTeScZ4Ig6obUA3Zt9qyuTRWbgprRCz3Hiw+TP+RbceTjnwIFzQwDhoHYf0oYd7ToSCQE21tb40phM0gomA8rpPe6Yo6E1HecLQmO4+F1e+A8dyrEIcnKXSj5+fsYBaw+JTgekCsZ8Ro153MiznuCSAQSN8mUaHSs5e6QBW/xxB74+8c/45v/Fkt2bQ5W3jnxfaBxlNmkqbV4L2K6gDGjOioDJulynpsD1P2daCpiecCWorE2ZeJJmkEVolhm0CpxwWKv873WRjTVM6B6M6jsszfDU24jdJgnIhMtYmWrcMNS5AxTaiv/+sNwgZmRi7Dx0Dl88V0hzCYN5o65Hi//678YN+hqyXmRDPOeIJoaeiJshkgZWqkF74ldASWa905dCFv8gOjKO1J/B2BQzKTBefti6FQMHG4exUwaWkEm7tDxPBcx57klyxHHm1i6v1Pnd6IxEOyNSa8Wa0pKbE6kGVRRFb8SlUhOFxDei2rvO2cwf8TvwcJfLzsWzfYCoZtBpf/ci/RBU6FMaw1GqY6L3Yz2AJ/MRPpu25n1sDs94uf+zn9KMWbwPDiPVSu1pfYbDY8+K5DyzAXSol/96JLYDd5idWLTa//GlGFdJNdZgiCkIQelmRHJ0BpSlJILnl6rAACY9OqqRbFSXHxqU96J9HfSDCo8uu2LsHNCdv5qUaapWaDfnIvnCaK54vVxMOnVGD/46pAajSWTe0KvDTzYJtsDb6SoxprpN4bYu87tUzHt5jQU7l5SbzsWi+pZU9aO1DcilixIfbcfns7HzTe0w9od1b155uTl4LWTF3DbrQth0srgcPMo8BugK/wV1iCn5c7B8/B/P6fibH6ZeD1B9Y3UuQgiNuipL0EJ7lBstbvEjsvRjrNXSi+iHMdLdmq2V3rRqb0JE4ZcjUee+ySky7Neo8Sy+3qFdLVdOrkn9BplxMXa7Q3s/HVun4p193XBC7O6Ye7wq8BzoUZZyHlWGDMh15nAMGzEhmH+ClujfrYEQcQXhZxF3h2/F50TIGAj1u44CVuFO2pneYFY7GCstrKhRIpqsCwTYlsn3t5O3GEH6mfHhMLpaB3Fa9pRAPA5rPDaiuBzWButG3wke2+rcDfK9ZsaqTkT/N12am/CHb3/n+icAIFNPIUMmDKwA64wa+HjWchSDOAqHWHft/PYRky8vZ14PWGtJXUugogdiqAkILHuVkkdt2RyT5j06hBjKzR4rKkUMicvB68cPYO8O36PZ/Z9Fbb4bJjTD+3Mejwxqy+8Xg5+jkeZ3Y2C0goo5TLJxZrjePS+NgvTbk6D89h6uG1FMBgzoc1dBN7Qodk1DCMIIhxjigqtM3QR05RiqbGIxQ425c5+pKiGSsGG2NZ0nRzOKHYsWvSoPoXTPM/FLQIdS8pZoiN85hzHw+ZwY01QZGTp5J7odU2WWGs58raOKK9wi/fcqb0Jfx5+LdL8xSjeUx0pybhrPjxqFRwS33e6LvB4JahmHvn4J1LnIog6QK58AhLrbpXUcWt3nETeHb8POU7YtREWvJeXDcDTD/VD64wUPDzuBrTPMoTlxAqLT4XLg0vFFVj+4meYsf4D/GXfv1Fa7oJcxkhGZJQKGR4adlXYjpLljSej7iAKRZ/BUPE8QSQfLMtArZJL2giFnJV84A1OM60tGhxsB5tyZz9SVEOvVYXYVpMxRdKOcQgIVMQaPRIKp80mLUx6dVSHK54RaME5CyaZogHBn/mP+WWicwIE5syaHScxZVgXmE0adGpvQodsPfRaJR6b0gud2psw8raO4CrLUXE0dF0rf2sD1CqF5PedlqrDy8sG4ImZfdHWrMPMUd2aTUocQTQFyWFdWhix7lZFOq51hk4yNUBY8DKMGljL3Vi05RNMW/ceHtn6CSYMuRqd2lfLTAqLj9vLhUVXntn3FfxVcps1/06qTgWljK9XJEQo+hSMfTI0DCMIQppUXeQ0pZoPvFJppsU2V8SNE4Gm3NkPjmq8vGwANszpJz5wBjsTlYwGmsHzQuyYZvA8VCBwL/FyquIZgY415SxRCf7MhVqQYIRUvY0P9cP03K7ihtzzB77BhCFXIzNVDZ2Kkfx83X4+7PvOGrUYSkMqzCYtMk1apBs1MTmZBEFUQ1vTCUgsBZK1HadWyWtNDZBaIJ/Z9xWmj+yKldtPhCw+FmulpDH3c3zEFAQuQi+U4EiIdIoDNQwjiOZCbWlKNZvTSaWZrt1xUrRJAjXtYKy2sjHvKZoCE8Oy2PavUgyrKqS2Vvqx+18WzMhtD6BxnapgO2pkZXGTb0/2Xh3Bn7lQCyIp/sIjpO5EWBvXzegLq4UPkxiWGzNh0KpQoTUia/zaequ2EQQRDjkoCUisnWUjHWfQKmF3eiJe3+uVXiDbmvV4edmAkMVHqZBJGnOlQha2WAuFhzyngjl3ESxBuvDBkZDa88apYRhBNBciPdDXfOCtWaQMhEaDI9lBvUaJpZN7htQTXO6dfb1GiTF3dI44psZwqjiOh73SjWKbS3yg7n1tFuaNXISiA9J2t6Ekc6+O4M/8wAfnMHt0Toi63NLJPQONGCM4j6V2F+QpBqQMmSemeQVHSlQMC0B7eW6OIJop5KAkILHuVrEsEyhin9kXPj8PuYxBqk5Va9MwjuPBg5cu9lTKwhYgIU2j5vVSdYHFVtzB83LgeB7bD3+LE98Xove1WXho7GooZXzYjlIsBbIEQTRvgh94rXZXnaPBHMfjgsWOve+cxZRhXWDUKZFmCKSwXq6d/eAxzcnLQYZRA4YBNGo5yhxu+Pwc5DIWK6f9EY9t+7xeTpWwwVNic+L5A9+In9kX3xViI4D5tJMfRvBmHgCwDIPVD/SBjGXBsMCLB7/Bie8L8diUXpLz0FruxoEPzuH+u65Gh3vXgOV8gEwOlywFtjJX0kWUCCIZIAclQYllt0pYDIOdh6WTe2LvO2cjPvzbK92wVbgxJy9HTKkQzpNaIGtzlqQiIbNH56DM7sEX3xVi9m/lgb9bozFbc1CESTZ2Lb0NQOM2YuR8HmrsSDQKUtHgOXk5qHR50TpDJ/ngF7zRIagv1ey51JjE0rcluEElzwPLX/wMJr0aE4ZcHWJvl93XCxsf6ge3t+7pUsLfmDvm+jA7+sV3hbDd3RVmE+3mByOsYxsf6hcSdRLmWZk9kHGw7/iPYWvj7NE52H3sDH7It2Lhls/w5Ky+kMsVYMFi3a6PmmVfGIJIBMhBSWKkIhGCGomwYAuvCw//bi+HJ3edDunw7PL4YNRFXiAjOUtSf//Z/V9hyrAuWLvzZESno6nzxgkgLU2Pn9eMjHrc75YeiPmarFzZ6NckWiYsyyDNoML0kV2hVsphr/TilaNnYLW7IjocTbnREaucsTCmKcO6iClEU4Z1iSjjXh9HQvgbtdVSEOGwLBOxxkRYs37It+KVo2ewbmZfcByPXy120TkBAp+vzeGBQs6ERK8oC4AgGh9yUJKYSAu0UacMeS140RJyvS1WJ9buPCkes+2R22G1uyLu5EntHkb6+0J3erNJAymXJ9YaG4IgWg5uLxdSEC8QyeFoyo2OWNNShTEFK0VFUo2KdF/RIjXC35CqpSA7GhmO4+H2+Gtds4BAuiEDIMOogdPtg9XuAoCQaMqkO/9AWQAEEWfIQUliIi3QaQZ1xMLSSEXvv1wqx/bD30ZsCHmx2IGCkgqolXK4PD5kp6dAq1ZIXkvY2Zs9OkfS2Ul2RRiCIBofuUzansll0g5HXTY6YknPqo1YozXCmEpsTvFe6hLpiCVSE3zfu4+dwfSRXdE6Qwe1So7UWiLhLZnguh2p78LlCUgx97omC5PuvBZWuxt+jkfbTB2emNkXRWVO2BweMZri8vgoekUQcYZ+TUlMJG36DKNGUqsfkO5NMHt0Dg58cC6iHr+90o3ScheeP/ANHtn6KZ4/8E1Vs0aEXWvRhB7ITA2kjx35+KeoaWOxNiEjCKJ5I2OBOXk5IfZkTl4OIvgntfYlCSbWxoi1EWujQmFMHdulYsnknmKko+Z9RXKkYumREnzfCyd0x5VtU5GdnoI0A9nRSAif677jP2L26NDvYu6Y66FUyPCXeTdjzB2d8di2z/DwMx9h6fOf4oLFDpNeDY1Kju2Hv8UP+VaYTRpkpWuTui8MQSQDFEFJYmqLRETKgw0+x+Xx45eL5SE5tlK7gpGaNa6b2TdMKnT74W9RZvcg747f476h14LnAw8IQlF9Q3YxCYJovri9HF45ekasjRPqUBZO6B7xnFjERBpDNbAu0RqWZWDUqaHXqkTbqFKweGp2P/j8HJiqY2wV7jAbGClS4/b4RTsa630T1Qifq8XqxO5j1XMszaDGxr3/htXuwsppffDYts/CajoFx7fmOguAsgAIIo6Qg5Lk1GehEs6x2l3YfvjbqGHqSD0KhAVT+Pscx+PBe7qFqaQsu68X2pn1tcofEwTRslHIWVjtrpDauMZIm2mMYvr6pKVK9YmKlr4VKW33V4sdTreP7GU9CU4f/CHfirU7T8Js0uDJWX2xcEJ3MACsdnfEeRJpnSUnkSDiB6V4NUOEhokWayWsdlfEVIZIKWI1dwWFupVghGaNwURSSVn91xOw2l1RUxcIgmgZSNmoWO1RXYk1PSvSuAQampYaS/qW1Gcwe3QO9h3/kexlQ+B5yfRBhmGQYdTApFdDr1XEPE8Igog/FEFpZsQqhwnEvito0CqxZFJPUTrYbNJgyaSeMGhD1cKAyLuVvghRGFI9IYiWRW02Kh7iGbGmZ9XFdtaHWCI5gk1eN7MvLKWVsFd6Q1JwyV7Wj0jpg/fddQ3KKzxQyFkc/+IXLJrQA0++copU0QgiASAHpZlR13zrWFLE7E4PXjt+NsS4v3b8LGaO6hZ2bqQUBTnLkOoJQRBRbVRjp83EuhHTGLUqtRGrLDLLMlDIWWx67d9kLxsJuYyRTB+0OTx4es+XmD6yK97818/4v/9ZMWVYFxh1SmSmapBu1FBKHUFcJuJq7Y4cOYLBgwdjwIAB2LNnT9j7Z86cwciRIzFw4EAsXboUPl9A6u/ixYsYN24cBg0ahOnTp6OioiKew2xWxKN5mdfH4cT3hVi78yQe2fop1u48iRPfF0peM1KahkmvJtUTgiCatMGiQCzpWfEeV11S2OKV7tZSMenVeGRSz4jqlWplYK9WqE9ZtOUT8AA5JwRxGYlbBKWwsBCbNm3CwYMHoVQqkZeXh169euGqq64Sj1mwYAFWr16Nbt26YcmSJXj99dcxduxYrFy5EmPHjsWQIUPw3HPPYevWrViwYEG8htosEBSyOI7HY1N6Yd/xH0O630oVvkspakm9Hrzz16m9CSNv6wijTgkG0gpdRp0KTz14E9zegHoNGAaldheMOhU2PtQPbm/09A1S/CKI5gfH8WAAPD2nH9RKOTxeH4rKXHj/1PnLHh1orMaPwbZLrWTh9nDw+XnIZQzaZupEG8hxfFgdn0C8ekVFs6vN1e7K5SzaZuiwbmZf+P0cZCwLH+cXZYOFPigCFK0iiMtP3ByUzz77DL1790ZqaioAYODAgXj77bcxa9YsAMBvv/0Gl8uFbt26AQBGjBiBZ599FqNGjcKpU6fw3HPPia/fe++95KDUglTu9Jy8HLxy9AysdlfYzlukXOtISlvtzHosu68X9rx9BkNvujKsc7HUeXPycvDh6Qu4tXs7UaI41pzueOeCEwTR9Ej9rmePzsH7p84j747O0GvCa9qakrpICUci+B67XpWBwTf+Pzyxq7qmYcmknlApZXhs2+cx1Qg2ZrpbNLvanO2uy+XDr8UOrAuqo3xkUk9sXXQLfL5Q55SiVQSRGMRti8BisSAzM1P8t9lsRmFhYcT3MzMzUVhYCKvVCp1OB7lcHvJ6TcrLy/Hrr7+G/FdQUBCv20lopHKnn9n3FRZO6C7ZvCxSrnUkpS2704MO2Qb8eXhX0TmJdt4z+77C8Fs6hvVPiUWJJha1m2SC5mpywPk8cTk2WYj3PJX6XT+7/yv079EB63aehN15eT/TWBs/1kbwPQ6/paPonACB+1278yQKSioui22LZleTye7Wda6WOz2icwIE7m3dzpNQKRTokG1A6wxdg753giAan7hFUHg+XNqWYZio70c7T2DXrl3YsmVLA0fZPIiUOw1I67TXR2mLZRnwQdeN5TwZK318tJzuy5GjHk9oriYHrFyJn9eMjOnY3y09EOfRND3xnqeRftd6rSJhft8NjVoE32Mk+yfUOwS/1hT3Hs2uJpPdretc9ful783vr25+ST1NCCKxiJuDkpWVhdOnT4v/tlgsMJvNIe8XFxeL/y4qKoLZbEZaWhocDgf8fj9kMpn4ek0mTpyI4cOHh7xWUFCAcePGxeFuEpu65k7XV2mrruf5OdQrp7uxcsETBZqrRDIQ73ka6Xdtr/Qm9e87mOB7jGT/Lle9QzS7mkx2t65zVSaTvjeZjKIkBJGoxM3y9OnTB59//jlKS0vhdDpx/Phx9OvXT3y/TZs2UKlU+PLLLwEAhw4dQr9+/aBQKNC9e3ccO3Ys5PWaGAwGtG3bNuS/7OzseN1OQlNXxZf6Km3V5bw5eTl485/nwppjxZLb29wUbGiuEslAvOdppCaE7586n9S/72CC7/HNf57D4ok9Qu53yaSeyE5PuSy2LZpdTSa7W9e5atAow1S8HpnUE4bLXPdEEERk4hpBmTt3LiZMmACv14vc3Fx07doVU6dOxezZs9GlSxds2LABy5YtQ0VFBf7whz9gwoQJAIDHHnsMixcvxvPPP49WrVph48aN8Rpms6Cuii+1HV/bdWI9Ty5jIWOBMQM7Q6Vg8dTsfvD5Y1eFiZeCDUE0FpzPA1Ye28MN5/WAVUQ/ti7XTEZq/q6ZqtdmjurWbH7fNe9RrWTxxMy+8HE85FXpYyzLXBbb1hD7nuyo1fIgFS8eMhkDg0YJtZpawRFEohLXX+fQoUMxdOjQkNdeeukl8f87d+6MN954I+y8Nm3aYPfu3fEcWrOjrrnTkY6Pdp36nldXGvt6BNGY1LVeJZZjm2NdS01awu867B5Two+5XJ9Bfe17c0CtlpNDQhBJROIllxIEQRAEQRAE0WIhB4UgCIIgCIIgiISBHBSCIAiCIAiCIBIGclAIgiAIgiAIgkgYmlXFmN/vBwDq0k3Ui+zsbMjlTfOTiHWutm3btimGQyQIv/76a9RjEnGeEoQUNFeJZKAp5ykROwwv1bo9STl9+jQ1vyPqzfvvv99kDgHNVaK+0DwlkgWaq0Qy0JTzlIidZuWguFwufPfdd8jMzIRMJgt5T+gyu2fPnoRukpcs4wSSZ6yxjrMpd1Fqm6sCyfL5NgS6x7qTaPMUSJ7vMVnGCSTPWGsbZ6LN1WT5TGtC444vFEFJTJrVN6JWq9G9e/daj8nOzk4KTzlZxgkkz1gTaZyxzFWBRBp3vKB7TEzqMk+B5LnHZBknkDxjvdzjbAk2lcZNtCSoSJ4gCIIgCIIgiISBHBSCIAiCIAiCIBIGclAIgiAIgiAIgkgYZCtWrFhxuQfRVKhUKvTq1QsqlepyD6VWkmWcQPKMNVnGWZNkHXddoHtsHiTLPSbLOIHkGWuyjBNIrrEGQ+NuPnz00Uf49NNP0aVLl8s9lISmWal4EQRBEARBEASR3DQrFS+CIAiCIAiigzK0AAAgAElEQVSCSFQOHjyIc+fO4fz58ygvL0dlZSVmzJiB22+/XfL4zZs3Q6PRYMqUKfB6vRg2bBi2bNmC+fPn4+DBgwCA8ePHY/ny5XjnnXfwyy+/wGazobS0FOPHj8c777yDn3/+GY8++ij69u2L/v37o0ePHvjf//6H66+/HhzH4T//+Q9MJhO2bt2KiRMnYsGCBejatSvOnj2LTZs24cUXX2zKjwgA1aAQBEEQBEEQRJORn58Pq9WKF154AZs3bwbHcRGPHTVqFA4fPgwA+OCDD9C3b18olcqIxyuVSmzfvh133XUXjh07hhdeeAELFizAoUOHAAAXL17EzJkzsXfvXhw8eBBDhgzB/v37cfHiRVy4cAGjR4/GgQMHAAB/+9vfMGrUqEa889ghB4UgCIIgCIIgmoj27dvjnnvuwfz587F8+XL4/f6Ix2ZnZ6NNmzb46quv8MYbb2D06NFhxwRXa/zhD38AABgMBlx11VXi/3s8HvH/27VrB5lMhpSUFFx55ZUAAKPRCLfbjTvuuAOff/45bDYbTp48iVtvvbXR7rsuUIoXQRAEQRAEQTQR+fn5aNWqFV544QU4HA4MGjQIf/rTnyIen5eXh1deeQUulwtXXnklSkpKUFpaCp/PB5fLhfPnz4vHMgzToLEplUr0798fq1atQv/+/SGTyRp0vfpCDgpBEARBEARBNBHt27fH6dOn8Y9//AMMw2DKlCm1Ht+vXz+sXLkSc+bMAQCkp6fjlltuwciRI9G+fXt06NChUcc3evRoDB48GO+++26jXrcukIoXQRAEQRAEQSQoHo8HeXl5eO2115pEsvmnn37CU089hRdeeCHufysSFEEhCIIgCIIgiMvIihUr8NNPP4W9PmfOHKxcuRKTJ09uEudkz5492L9/P9avXx/3v1UbFEEhCIIgCIIgCCJhIBUvgiAIgiAIgiASBnJQCIIgCIIgCIJIGMhBIQiCIAiCIAgiYSAHhSAIgiAIgiCIhIEcFIIgCIIgCIIgEgZyUAiCIAiCIAiiGfDII4/gt99+u9zDaDDkoBAEQRAEQRBEPeE4Hla7CxZrJax2Fzju8nXwOHHiBJpDB5Fm1ajR5/OhoKAA2dnZkMub1a0RzQyaq0QyQPOUSBZorhKXC47jcb6gHKv/egIWqxNmkwbL7uuFDtkGsCzToGufOHECL774ItRqNX766Sd06tQJGzZsgFKpxIEDB7Bjxw4wDINrrrkGy5cvx549e2CxWDBt2jTs2bMHJpMJAPD555/jmWeewb59+wAAb775Jv7zn//guuuuw8mTJ/HEE08AAMaPH49Zs2YBAF544QXwPI/8/HwMHDgQer0e7733HgBg27ZtyMjIwI033ohbb70Vp0+fRmZmJsaOHYvdu3ejoKAATzzxBLKysjBx4kR88MEHYFkWJ0+exLZt27B9+/ao996sIigFBQXo378/CgoKLvdQCKJWaK4SyQDNUyJZoLlKXC5sFW7ROQEAi9WJ1X89AVuFu1Gu/9VXX+HRRx/FP/7xD1y8eBGffPIJfvjhB7zwwgvYvXs3jhw5Ao1Ggy1btmDatGkwm83Ytm2b6JwAQO/evVFUVIT8/HwAAQdlxIgRtf7dr7/+GuvWrcPRo0exb98+pKWl4eDBg+jUqROOHj0KACguLsYtt9yCt99+GwDw3nvvYe/evXjwwQexa9cudOjQAW3btsWJEydi/rsCzcpBIQiCIAiCIIimwuvjROdEwGJ1wuvjGuX6HTt2RHZ2NliWxZVXXgmbzYZTp07h1ltvFZ2Q0aNH4/+zd+bxTdT5/3/N5GjOJmmblpZDd5XV/bqKuip4gQisLIcIBUGgAooXoiwo5RBdVFBAF9ddvrrrCYsgN3KKoiLiKsru+vDYrwe7+1NwS9O0uZq0uWbm90c600wyk6tJmraf5+Phw5LMlcwnr8+8P+/r+PHjssegKArjx4/H3r17UVdXh6amJgwYMCDheX/2s5+hsrISWq0WFosFV155JQCgqqoKHo9H2G7w4MEAgN69e2PQoEFx21RXV2Pv3r1obW3F8ePHMXz48JQ+NzFQCAQCgUAgEAiEDFApaZRbtKLXyi1aqJTZecQuKioS/qYoChzHgWXFxg/HcQiHwwmPM378eBw4cAD79+/HuHHjRMfjCYVCwt8qlUq0v0KhkDyuWq1OuM3IkSPx17/+FW+99RYGDx4s2j4RxEAhEAgEAoFAIBAywKQvwrLbBgpGCp+DYtIXJdkzc6644gq89957cLlcAIBt27Zh4MCBACJGAsMwcfv07t0bvXr1wpYtWwQDxWKx4N///jc4jsPp06fx7bffZv1atVotBg8ejLVr16Yc3gV0syR5AoFAIBAIBAIhX9A0hbN6FePpeYMRCrNQKWmY9EUdTpBPxPnnn4+77roLNTU1CIVCuOCCC/Doo48CAK677jrceeedeOmll9C3b1/RfqNGjcLbb7+NiooKAMBVV12FnTt3YuTIkfjJT36CX/7ylzm53tGjR+Mf//hH0rCyaCiuO9Qia+PHH3/EsGHD8O6776JPnz6dfTkEgixkrBK6AmScEroKZKwSCIkJh8Oora3FyJEj8atf/Spv52UYBs888wxKS0sxa9aslPcjIV4EAoFAIBAIBEI3heM4XHvttaAoKuUk9WxRXV2Nf/7zn7jlllvS2o+EeHVDWJaD2xfIm6uRUPiQMUEoNIIhBmqVdNJlNrYnEDoK0U1Cd4GiKHz88cedcu433ngjo/2IgdLNyGXDIELXhIwJQiGiVikw9oE9KW+/73fjcng1BIIYopsEQudCQry6GbluGEToepAxQSAQCOlBdJNA6FyIgdLNyHXDIELXg4wJAoFASA+imwRC50IMlG5GrhsGEboeZEwQCARCehDdJBA6F/JL62Z0RsOgTOA4FmGvEyG3HWGvExxHVqVyRSGNCXLfCQRCV6CzdZNoJaGnQ5Lkuxmd0TAoXTiORbDhFGzbVyHstkNpsqJi0mKoy/uBoojNnG0KZUyQ+04gELoKnambRCsJBOJB6ZbQNAWLUYNyiw4Wo6agjBMAYHxuQXgBIOy2w7Z9FRifu5OvrPtSCGOC3HcCgdCV6CzdJFrZ9ciVx2vhwoXYunWr8O+amhpcdNFF+OSTTwBEGpRef/31AIDFixfj0UcfxY033oihQ4fi8OHDmDt3LoYPH45Vq1YBAHbt2oX7778fU6ZMwXXXXYdXX30VK1euxNixY1FTU4NAIIDf//73WLt2rXDOJUuW4ODBg1n5POlADBRC1mFZDs5mPxqcLXA2+8GynOh9jgkLwssTdtvBMeF8XmZBk+w77IqQ+04gEDqLrqSpRCu7FrzHq279Epxedzfq1i9BsOFUVoyU6upq7N27FwDw3//+Fw6HAwMGDJDdvqGhAXv37sX999+PJUuW4NFHH8Ubb7yBbdu2obm5GQDw5Zdf4qWXXsKmTZuwatUqDB48GPv27QMAHDt2DNXV1di/fz84jkNLSws+/vjjvDd3BEiIFyHLpFI7nlIooTRZRQKsNFlBKchwBLpv/X1y3wkEQmfQ1TSVaGXXQs7jVTXzSSgNlg4de+DAgXj44Yfx448/Ys+ePRg3bhyOHTsmu/3gwYMBAFVVVejfvz9KS0sBAGazGW53xAN36aWXwmAwwGAwAACuvPJKAEDv3r3h8XjQt29f9O7dGydOnEBdXR2GDBkCtVrdoc+RCcSDQoijI67KVGrHK/QmVExaDKXJCgBCfK1Cb8ruB+midEb9/XwkZJL7TiAQOoNsaWq+EteJVnYtcunxoigKN910Ew4cOIBDhw5h3LhIw1qOi3gAw2HxOVQqlfC3Uilt0EZvI7cd70XZv38/JkyY0KHPkCnEHCeI6GhyXiq14ymKhrq8H6pmPgmOCYNSKKHQm0jyXxv5rr+fr4RMct8JBEJnkA1NzWfiOtHKrkWuPV4TJkzA1KlTce6556KiogIWiwX/+te/MGjQILzzzjtZOUcsI0eOxP/+7/9Cr9cnDCnLJWS0E0R0NDkv1drxFEVDabBAZbJCabAQ4Y0i3/X385mQSe47gUDIN9nQ1HwnrhOt7Drk2uNVWVmJyspKjB8/HgAwe/ZsbN68GePHj4ff78/KOWLRaDS4+OKLMXr06JwcPxWIB4UgoqOuSr52fGysb6H1YSlk8v0dkoRMAoHQncmGphKdJMiRS48Xx3FoaGhAY2OjkKh+0UUXiapqzZ07FwCESl1AJHdl4MCBwr/fe+89AECfPn1EIVvffvut8De/P8dx8Pl8+L//+z/U1tZ2+DNkCjFQCCI66qoslJ4bXZl8f4ckIZNAIHRnsqGpRCcJieA9XtnmrbfewvLly7F8+fK8Jap/+eWXmD17Nu69915Yrda8nFMK8ssiiOBdlbFxtum4Kvna8YTMyed3mI17TiAQCIVMRzWV6CShMxg5ciRGjhyZ13NedNFF+PTTT/N6TimIgUIQkcxVybIc3L4A8Y7kmHx+zyQhk0AgdHc6qqlEJwmE/EIMFEIccq7KrlZLvqvSGd9zrtzTBAKB0NlkS1OJThII+YOY/oSU6Yz+HD0R8j0TCARC9iCaSiB0PYiBQkiZfPfn6KmQ75lAIBCyB9FUAqHrQQwUQsrkuz9HT4V8zwQCgZA9iKYSCF2Pgv11vvfee5gwYQJGjhyJFStWdPbl9Bg4jkXY60So2YGQ246Qsx4hdyNYNizUkueFnvQ4yQ2F8D0L48BtR9jrBMdlvtKYzWN1pXMTCITCoDM0NV3tKVStKtTrInR/CjJJ/vTp0/jtb3+L7du3o7S0FDNmzMDRo0cxZMiQzr60bg3LhhFqOA3HB1thvnwU7Aeeay+nWF0LVUU/0uMkD3R2LxmOYxFsOBVXTlNd3i9hxRqOY8H43KIKNwAyOlZnfg4CgdC9yLempqI9Ir1UqsF4nQWnVURDCZ1JQRoohw8fxqhRo9CrVy8AwDPPPIOiIvFKh8fjgcfjEb1WX1+ft2vsqkg9RFIUHXnd3QjbjtUoHTFLME6ASLdc2841qKxZAZWpjPQ4SZNMxmpn9pJhfG5hQgLa7v/2Vaia+aRsBRu5iUyhN6V9rFSRG8sd+Rw9GaKphK5CoWtqMu2J1cuKyUvRdOjFTtUqKT0lGkroTArSQPnhhx+gUqlw++23w263Y+jQofjNb34j2mbDhg1Yt25dJ11h1yTRagjjc4PxuhB220FrDKJuuUBEmMCG0zpXtNjROiPYluYeWT++M8dqsod4qW04Jix5/zlG/v7LTWSV0x5N+1ipfq6kK5QZfI6eDNFUQlehs8ZqrFaCosGFg3Hamkx7YvWSVmk6Vavk9JTWFRMNJXQaBWmgMAyDv/3tb9i4cSN0Oh3mzJmD3bt3Y8KECcI2M2bMwPjx40X71dfXY9q0afm+3C5DotUQjgmDaXFDabKC9XuhNFlFwqQ0WQE6teEiKXbVtXAc24bWkyd6nJu4s8ZqqmEGsdtUTlsuef8phfz9l5uQQdNpHysVUlnZoxTKnJy7u0I0ldBV6IyxKqWV1jFz4TjyGhifS6StybQnVi/l5tx8aZXsAlPNCqKhhE6jIJ8Oy8rKcOWVV6KkpAQajQbDhg3DF198IdqmuLgYffr0Ef3Hh4QRpEm0qkMplPB8fgTW0XOE/ytNVgAQDAyF0ZzSeSTFbucaFA8Y2v7v7avA+NxZ/HSFS2eNVblJh//eOY5F2OMAF/SjdMQsFFX1R9htR+Ph9aiYuEh8/9vCteTgJ+RolCYrKKUaFZMWp3WsVEjFO6LQm3Jy7u4K0VRCV6EzxqqUntr3r4P5qvFQ6M0INzch7IokktM6Y0LtidVL10e7YR0zt9O0SnaBCRzRUEKnUZBm8NChQ7Fo0SJ4PB7o9XocO3YMw4YN6+zL6vIkWtVR6E0oGTIFjqNbUDxgKCi9GZXTHwc4FqAVUBjNoGll0pAhjmPBBv2SYkdrDKJ/Ezdxbkn0EC+5Gjj2PnAcB4qiQOtNgmctlZA83hiIy0HRGaHQGdM6Viqk4h2hKBrq8n5ZPzeBQOh5yOmpwmBByXVTxUVlJi2GwliCyprHAZYFpVKLtCdWLxmfC7TR0mlalUhPiYYSOouCNFAGDBiA2bNnY+rUqQiFQrj66qtRXV3d2ZfV5ZF9iGwTHHV5P1hH3ZXQ+EgWMsT43Ag56iTFjvV7xf+GAg3OFlINLIuwLAe3L4BQmIWJVshOOpKrgfv+iNKRd6B+6xNph+ElMwaynVCZaCzHXhdJ5iQQCJmQip7Sai3qd6+N81SXjrwDtigtjdamQls8SfZsQDSU0BkUpIECABMnTsTEiRM7+zK6FclEMZkQpRL3zzFhuI5th3X0HPGK0sRaOD7YBiAi6uWTl6G+yQcl1QxngENLSQkqy4zESOkALMvhh3oPVrzyCRqcrRj0iwosqF4E+87VcZNO2NMk7eVSaYS/063Wks+JrNAmeAKB0L1IRU/LJzwIlmMy0tJCevAnekooRArWQCHkhkxEUQjrCgUSxv2zLAcWCjA+Fxzvb0bpiFmgNQawIT8UxtI278ztYGkVWhyNoA4+jYDbDq3JCs3oBWjWq2HSkxLGmeLyBoTJFACOf2XDWgAP1jwBGoyoNwlYJqmXK5MwvFSqhmWLQprgCQRC98Lti9fTLWV6TJu2HKzXBabFDeeHO1A2YmZWtTSfGhoN0VNCoUEMFEJCosO6ykbdIwhxUVX/SHKgzgSAAsMwOGXzYvNb3+HOUQvQenAtbDvWtHlPFoFjGVAUBWVxKfxuJ5r3PS3yxPgOrIV1+koAxEDJBJbl4A+EhcmU5/hXNrhvugjlFp3wWtjrROPh9XFervIJD6LprZeE7SKJkRQ4jpWdIGMnUybQAtvrj3frpl6d9QBBIBDyRyjMxunp5T/Vo37TcpEx0gigYuIi2Ha0e1b46l48qVa+YtkwGHcjmDYDyPP5EZQMmdIlNZToJKGjEAOFEBHFZlekzwmtFBLigfawLoXeDLpIB+uYuXB9uj+u03z5xEXY/JYNx7+yweUJYMbwWvQyq1GsU6Lp8HpReWFarZN2iXNMZ3z8boHbF0BdoxflFq1oUi23aKFSxvQ9YcJoPXkCrM/V7uXye6HQF4PxuSLG57WToLL0QthlAxsOQF1SCQBxvW1C9h/jym4q9GaE3fZu2dSLdFYmEHoGKiUdp6elBiVaY+au1pMnwA2ejNIRs6DQmaAwWsACMF87CbRKAzbkh9LSCwq9KeFDO8exCDWcFhs6o+fAcXQLrKPu6lIaSnSSkA3ISOnhsGwYIdspnNm4DKefuxdnNi5DyHYKbFtTRr5yiWXodDCtHlAqNcokOs037FiNcVeUAwC+OeXCkle+RL0riPpNy9F68oSwnW37KtBtvTGiUZqsUKhUefzk3YtQmMWWt7/D/ZMvQblFCyBinCyddQVM+iLRtnzFlkDdSdh2rMGZ1x5B0+FXQSlUqJzxBMpG3oGmQy/ixz/dD/u+P4JtdoJpaUaw4RTq1i/B6XV3o279EjDuRtmymzz5qtbGcSzCXidC7kiZT45jc3KeZKWbCQRC98CkL8Ky2waK9FSv10rOXYy7AbYda1D3l4fQ+PargL8FTYdejGjroReBcEh4aI/W0GDDKUGrGJ9bME6ANj098ByKBwzNa8XLbGgp0UlCNiAGSg+HaXbBtnNNXM8SptkFIPIwq+1/OegiLZoOvRh5MPU6JT0gpQaxQ67UoJRt3kdqq2cXlZKGs9mPjQe/xuxxF+LJOVfjnuqLUGbSxBUeSNgfhGVg2/lUnNHBhQJxEw7jdSUtJ52Ppl7JJv6snot0pycQegQ0TeGsXsVYde81WD33GswedyHWv3Ma2lELRNppHT0Hro92C/sVDxgaZ2jYtq+KzLWJ+lLJlTHWmfLWGDFbWkp0kpANSIhXT4eVadDU5kFR6E0oGzETZ6LibvmO87FJgcVGneASL7doUWzUISRV5paiSMWQLMOv9q145RM8sf5TlFu0WHbbQBh1RXHbJqzYwrLS44GLf11uHLAhv/B3PgzPVKrLZQvSnZ5A6DnQNIVSkxbe1hB+t+nvaHC2orm1Ar+ZugJqBQeAQuNbLyFQd1LYR6Ezyc6piR7a5bRFYTDnbfEuW1pKdJKQDcho6enQYiHh8w+ASDK1Qm8CaIVIaFwf7Y4vIzxpMZQmC56eNxihMAuVkoZGpyK11fMEv9oX/f0n6i0j9/1Tag0qJi+NxE77vXB9tBuMzwVITDiez4/EJYdWTFoMhcGCvnP/lDfDM5+rdan2XyEQCN0DKW3V6otAURwYnxulw2cgdOkIuI5tB+NzQWEwSz6cx861/Ov8Q7uktkxcBIWpLG+Ld9nSUqKThGxADJQejsJoRkV1LWw710ChN6Nk6HTY968TiQp0YsEN1J2E68RBVNasAMCJHkQtRoXo+DTxlOQNmqZgMSaughbdeCzWiOE4FozXiaZDL4qS3mmjBQqDOW7CKRkyBSprn06/v/lcrSP9AgiEngevrbx+uppboWu1oSF6cWZiLRTGUtBavfTDuTFeQ6Mf2gtBW7KlpYXwWQhdH2Kg9HBoWglleV9U1jwOcBzOvPZInHu3fOpjKJuwEI27nhI9nCqLS0BRdMLKJBRFQ6E3Ce8HPS74oAFFk+7xmZDIwEhl3+jGY3wY2Fm9ikHTlHR3+f3rUDXzSdC0UnbCoZN4wqTGB4CMSlBKHSvfq3VS3idSUpNAKGw6op38/rx+zh9/LoqPxORu7liTVCtz/dDeUR3KppYmi5IgmklIBjFQejgcxyLc+F/Ytq+Cdex90u7dZjvcn+xDr6nLwXBUZJXFaAZF0UnrtkuVG9SOWoAXjjow9YafCw/HhOTEGhgDL6jA7HEXgqYoqFTJJ9zYxmMNzlaseOUTPD1vMCxGTVL3fqZNPqXKTUKpSrtfSqLSldme+NOZPElJTQKhsGFZDnWNXtQ3+aBRK+EPhtGrVI+qMkPK80+0flp0CgQy0MpEGtpRHcmaDilVKB15h1AiGcrMqmsmK6lMNJOQDDISejjRq+as3ytZQpH1e9F68gTqNy/Hv+t9uHfd33HK5gXDMAg1nMaZTctR95eH0HT4VZgvHwXH0S1CZRKpVfnWg2sx7opyrHjlE7h9gbx/5q5K9AR5Xj8Lxl57Dh56/q+4feVhPPjsB/ih3gOW5WT3l2o81uBsRSgcqdDCu/ej6WiolFzSZdhZn3YJykSlK/mJX2WyQmmwdNg4SaeSDSmpSSAUNs0tATg8fjy/8wssee6veH7nF3B4/GhuSX3+idZPZwuTN61MVUeyoUOMzw3b64/DtvUJnHntEdi2PgHb64+nrWUplVQmmklIAjFQejjRq+Z88rtcCcWw2w6LTiGsvIe9yeu2y63K88fhH44JyYmeIKuv748/bP0szhuSyODjG49FE93IMWH54QyRu/+0ShP3WrJEzHwlw6c7eZKSmgRCYRMIsXh2i1gvn93yGQKh1OefaP3cIFFuOFdamaqOZEOHsqVlyTSUaCYhFUiIVw8nOikuUHcSjvc3o3TkHVCX9kaw6b9wvL9ZKKGoNFnhbIl0e29wtgJsKGnddrmkO2cLI9nlnCBPdGdjo06V0BsiRXQp4ugcFL6RYy5ipOXuP1+KOPq1ZKuP+UqGT3fyJCU1CYTChmU5Sb1M5HGOJVo/vznlwgtHi4Ryw7nUylR1JBs6lC0tSxouTDSTkALk6bCHE7tqzvhcUBpLoTCVQWksjZSYBYTckQ3vnAYQWXkHrZLuCB9Vt11qVV47agH2fNogejgmJCe6s3FzSyihN0SK6HKZLy8bgafnDY7LAcpmqBQg75VRWnqlvfqYCw+PFOmGuuXruggEQmaoVQpJvVSrFDJ7xBOrn3MmXgytuTTnWpmqjmRDh7KlZck0lGgmIRUojuNSX0LoIF6vFx6PB1VVVTk5/o8//ohhw4bh3XffRZ8+fXJyju6IkMzGcQDLgi8dTOuMYFuaI9W3GAq/3/MvHP/KJqy896swINx4Oq5uu6q8L2haGX98JgwWClLFC5mPVb4SDctycHsDWPnqp5IVuTIlF5VVcl3FK9tJlZkkcHbXijS51tSxD+xJedt9vxuX9fMTug+JxmqyCoaJyOdvu6Pnysa1ZusYyTS0u2omIXvk3J92+PBhHD9+HPPnz8eNN96I5uZmzJ07FzNmzMj1qQkpwpcCTiQoCpbDnIkG3HGTuERjKn1OYiuXpOIzIeIlTXSvE4tRk3JjxlTIRWWVRPcxk0ad+WjwmUmoG2k8SiAULuk2suXJd7WpjpbmzYYOZesYyTSUaCYhGTl/4vvzn/+Mm2++GW+//TYuvvhiHDlyBHv37s31aQlpkiipLVH9+GyHBAHpV1HqqfDGSrlFB4tRI5psWZaDs9mPBmcLnM3+lGKts11ZpSvfx1yMawKB0LUopGpTXU1PiYYSOkrOPSgcx+G8887Diy++iMGDB8NgMCCPUWWEFEmU1BbtGh/0iwr8Zty5UNMsQNEATYOiqLga5x3xfshNClUznyQrLimQaTiD7BgIBRD2OuPuY7L7nIv7SDxrBAIhXbKuiQmqTaWrUalun6t5kWgqoVDJuYFC0zQOHjyIDz/8EIsWLcLRo0dzfUpCBshWW4JCEPXz+5lx55ASNG1eJri7raPnwHXioNCcEUCcS7x84iK0aCtSzjtJdVLozsIq57VKpRtysoaMcsiNgWDDD2g6/KootCGlGOMsl5LMVrhFdx43BAIhHrcvgE2HvsbscRfCqFOhuSWETYe+xr2TLs5IE+UKZqSrUelsn4vSvJlcL9FOQr7I+chatGgRtm3bhgULFsBqteL555/HsmXLcn1aQprIVdXwQSM86M4Y3hetB9dK9j3h3d5SqzwNO1aj7sf6lJoJAqlVUepq7u504Ff7Hnz2A9y+or0JYzjMSr4e+30ma8goh9QY4PvgxIY2pBL6kO3Gj9kIt+jO48iJxwsAACAASURBVIZAIEjDshzGXnsOXtrzJZY891e8tOdLjL32nKRzUbrVptLVqHS2z2cjXanzE+0k5JucGyiXXXYZ1q9fj5tvvhlerxdr167FpZdemuvTEtIkOqmt79w/oWrmk5FVFDrSe+P8fmb8tFwj3XRPY0DYbQcTCoEJSfdGiW7wmKx7fCqTQiHFBmcbOQ+Is9kv+Tpf1YvPOaEADLygQnTMVHrOiMbAnP9F6YhZoj440at1qazmZbuUZDZWEBONG45jEfY6EXLbEfY6ycRLIHQTGJaLa2z7h62fgUm2WCY3L1K0ZJ5fuhqVzvb5bKQrdf6OzLlEWwmZQKp49XDkXLb86wY2jD/eeymCLV5w7jOS7m6OCaNi8lIwDAOlUglt/8vRevKEaJvoBo/JVvJTqQDSnTvRynlAwgmajcXGVy+ZeQUA4JN/2uIaMiaCT2wMe51oOvwqFHozKibWgtYYwIb8oJTqyHYphD4kuo/CuAsFI3lMSjUUOmPiSllZaO4lO244Lq/VeggEQv7oSKNGqWpTcjktfYtT0yhe//j3U9E0QU9nrQYXDgIsC0qljtsunTCsdDQ10zk335XQCN2HnBsof/7zn7Fy5Uqhitdjjz2GGTNmEAOlAJATDpW1D0L2H0WvW8fMRfPXx2EdPQf2A8+1vz72PlCqIjTsehoKvRnmayehdPitYAaOheO9jWB8LmhHLcAf97U3eEyle3yyEoTduRNtdMd4nnKLFkqaknydZbk4z8qT6z/FqnuvwZ3jkVZJzeiJrWL6o2Bddtj3rxOND4XOKKzmxY6d2NU8qfsoNe6sY+aCMVqgLqmUnbRSPWeizwVQkgY0WJYUZiAQuikKGe1UZFiWXc7LvXb+YFRMWgzH0S0oHjAUCp0JCoMZtM4o7Butfwq9GdYxc+M1NoGmMV6n7MN+usZAOpoaPecWVfWH+arxUOhMAChwHCur26ToDSFTSBWvHoyccFTWrIh73b5/nRDyUzpiFmiNISJWoNDw2sNQ6M0ouW6q2HiprgWjMePZN77DN6dcaa3kJ0sGz/RhtStg0hfh0TuvRH2TDxq1Ev5gGL1K9bAYNVh228C4VTuOg+TqIAeg3KJL6ZxSE1vltOWwtU2cQPzEkm6vEB6pcWffvw6lI++AokgnO2ll0p9EcsKuroUDQOvJE8K4Abhu65EjEHo6FqMGy+8YBJujRdDUihJdwgT5RMh5uQNBFkZrH5QMngzbjtWSRkK0/oXddjiOvIbSkXdAXdoHlEqdUNOSPeynawyko6n8nOs4ugXmy0eJ5vqEifXdONqBkFtIFa8eCP/wrwsHJYUDrLSg0BoDAnUnYduxJvIAW7MCLlcLwm47SkfMEgSL396+cw0qap7APdUXxzV4THZ9yUpCZvKw2lVgWQ6BIIPnd34hfP6lbSFbUs3GXN6A5OpgKp4qHqmJjfG6Ek4smTbakpuwaJUm6aSV7jklJ+yda1BZswK44XZh3DA+d7f1yBEIBCAYYiU1NRViF8yUCmkvt0pJg21pFowTIN5IiNW/QN1J2LY+gb5z/5RU25I97GdiDKSqqfycW3bDbJzZuCx1I6gbRzsQckveqnjNnz+fVPEqAKIrRJ2s80lWBQHdXi2kqKo/KibWourWlVDoTSiq6i9UdwJNo9iog9JkFRLlowm77aDBoKRYupmgFBzHItTshCbkxvzx5+L8fmbZ5Pru2gjK2ezHE+s/FYUPPLH+Uzib/XHNGQGgxR/CvCmXoNyiBQCRpyoysfrR6mpCwNkgm6AoNbExLe4OV42RSo6Uq0bDhvwdmrSizxVyNyLU7AAXkjHCwYnGTS4SUAkEQmGQSFOTIVVVscUfwrLbBgqaO+gXFfjDnEthYJvBMWEo9GbRMUQLOylW40pHO/l9O3LsVN6PzLHpeZuJthIyJecmLF/Fy+PxAAC2bNmS1v6rV6+G0+nEqlWrcnF5PY7o2NkjX7pwx4SFaNj1lOCqLa+uxVtfODFw1AKE/7Yr3pU7sRaUWgv3P96GxdoXGpMF5RMXgfE6Op7AHBOOU2yyonbsAqzZB3xzypU0ub67EGakEzrDEgmdbl8Av33hY1iMGqHGvz8YhkmvBstysDm80Pjq4T6wNqE7np/YFHozzFeNB60xgKNpVExcFBeqkOrEkijHKTY8zzpmLmijJfMKX1J5LaPnALRCclwCFEJuu8jz1l09cgRCTycdTY3F5Y3PN/ntCx/jd78ZjKfnDQYNFhqfDbbo/mBj5sJx5DWhAmL0XJhKeHI62hm9b0eOnUoeSwQqrbmeaCshU3JuoPznP//BfffdB4/Hgx07dmDmzJlYt24dzjnnnKT7fvzxx9i9ezeuu+66XF9mjyEUao+dHXqhGc4Ptwk5JazfC+exbTj7gpuxZt9pPHzLTNi3LRe7cnesQenIO1B8wbWgdUZQFAUoVVCV9kZF9ULYdj4lEml0sIN868G1mDG8Fs/sDqQVstSVUShST+jkY6H5FUGe1XOvQTDMwutwgHlH3LtGyh2v0JtQccvDYJud4oTNWx7OeGJJFA8tTFhpVPFK91z2A8+hbMzc+CTU6lo0vvWSKAeFn5xJ0iaB0P1IR1NjCYYYSeOm1c+g3KIB67HjTExIF59TZ9v6RJyRkMoDe0raKbFvR4+dMI9l1mowXiccR7fEFctJtnBFtJWQCTk3UFasWIGlS5fiqaeeQkVFBaZPn45HHnkEmzZtSrify+XCM888g7vvvhvffPNN3Psej0fwyvDU19dn9dq7IxQFQagtOgVaT54QVTQCAMvlt+CbUy40+wKyuQK2nWtQNfNJAEDDlhWwjr0Pjvc2iowdx5HXUD7hgZSvTS5+ttSgTDm5vhBJd6yqlDQWz7gcqzacEOKlF8+4XNJAk6v45fYGAQCmIgqBFNzxFEVDUaSD7fXHxRPT64+jauaTUMWEDaRConjobE9YcueiKAqO9zaisubxtlcpwTjhtyEVZSIQTSV0FXKpqbHQMhXAOI5D2OsGJ5Orpy7tg75z/yRpJCTTv45oZ0eOnfD9cFAwXFifC6UjZkWqlBWXQVlcQjwihKyTcwPF5XLh6quvxlNPPQUAmDZtGrZt25Z0v0ceeQTz58/HmTNnJN/fsGED1q1bl9Vr7e7wNd/5ClH+cBAqCVct37PE2cKgWOJ91u8VCVrYbQfr94LxuWDbsUa0bTohXnLJdCVmA1TG4qT5K4VKJmP12Gc/4rezr4SCBhgWeOfT7zF+aP+47Uz6orjKXvdPvgQbD36N6uv7Q6HioJW6h1CAZTnRd5rtaiv5TI6UOxc/LimFEkqDBSG3Pc4gJxVlIhBNJXQVcqmpsRSpaMybcgme3fKZoLHzplyCRncrSktZIVcvTntoFdysBiqahomjQKUxfeVSO5MdW+59sKzwGl8sB0DECCPGCSEH5KWMQiAQiIQCAbDb7WDZxLkE27dvR2VlJa688krs2rVLcpsZM2Zg/Pjxotfq6+sxbdq07Fx0N0OqMtby2QNROqEWjbvWtIdlVS/CxkM2AMCeTxuwoHoR7DvbcxCso+fA8f5mQdA4hkHVrSvBMmFYx94H+74/ZpSvAMjHz6qLzcL46YqkO1ZN+iIMvawfHn3pY1EVMykPEk1TOKtXMVbdew3srla4vUFsPPg1vj3lxLsnfsCsMT+HZvQC+KJyULSjFuDpXd9h6g0/x1m9igFEclk0HJ3xpCjVHCyfpaClzmUdPQeuEwfF4RWkoowsRFMJXYVcamosRl0RLMVB3FN9kVCiuEitwPZ3vsPC6p/B8/mRuLmvfOIi/MfBgGFbhDLxVWWGlBfZcqmdyY4t9z6lUhPtJOQVistxU5IdO3bgjTfewKlTpzBu3DgcOHAAs2fPxtSpU2X3mTVrFux2OxQKBdxuN1paWnDTTTdh6dKlCc/1448/YtiwYXj33XfRp0+fbH+ULo2z2Y8Hn/0gzk394LRL0M9EQa3gQCmUoLTF8LSEhHKKRq0SwWYXFGwQYecZuI5tB+NzRXpHKFVCSJDSZEX5+AfAhYNQGktAqTUZJcKl0wW3K5NsrCbrAyO1vWRn43IjfIEg1CEfXG4fmrxhbHjntNCXZu1vBsPhiSSBlhiLsPjGSpExk0rH32RJlfm6n7ENGUHToChKdE7S1Tg9cq2pYx/Yk/K2e1b/GrQyvnO2FGw4mPK2hO5BtjU1mnCYRaO7FQ6PH25vEO+e+AHTRv4c/SoMCLvqwQVawbS4Qas0YEN+0KYKrN3/I45/ZRM8Lmf1MsJkSL3vSi7nwmTHlnofANFOQl7Juek7ceJE9OvXD0ePHkU4HMZjjz2Ga665JuE+r776qvD3rl278OmnnyY1TgiJkWssZSnWQWvWiYTaYlQIfzub/Xjwf/+BEmMRZgzvC8t196A1wAE6M2wbFovyFRp2/w6VNSs6FI9Kkuki8OWE09leqkcKTVMwKTVocLK48w8fivZpcLYiEGIFo6bB2YpVe4HZNyzG2RU6KFSqlCbFZEmX+bqfqYwdUlGm60Ir1fjPyuqUtv3pQztzfDWErka6mhqNUkmj3KJDkVqBMrMW5599saCvXJEOdVG5e0DEszBuaC2Of2VDg7MVz275DE/em/i5J5ZczoWZ5rEQ7STkk7z45i6++GKcd955Qgd5l8sFs9mcZC9CNpFLpi5SKxKuIkVXiVryikt4fceyQdL9JdgwGJ+bCFcnkGgClrv/LCsuv/nNKRcefNGFl5eNQLkhxS70OegUnMvVQ2IEEwiEdJHTVzn9s+jaF/oanK1CDmguyFfkAdFOQj7J+RPkhg0bcNlll2HQoEG48sorhf+nyoQJE0gPlCzAJ1NHN/N7aNYVMGoTh0HwD7bRlFu0AK2SbAgVbPgBdeuXINhwSrIhYKYkayxFSIzU/V9220CoVQrJ+5tOSedUm4OlCh+GZT/4ZwTr/4Ow04awqwEsSxLZCanBhoNZ3Y5AkENO//hiM0BEU9UqReyuWYHXy7r1S3B63d0pz79kTiUUOjn3oGzcuBGvv/46LrjgglyfipAAmqbQt9yIlfdcLcTRbn7rG0wbGUmUlvOiSFWJWnbbQCgNBsmkZMf7m4UQH+v0lfAr9GnF+kpB8gY6Dn//V917DcIsB2XUauCSmVfgybYuy+UWLZbMTG64RpPthE7G54bj6BaJJqGLoK44i9xzQlJSDQcjoWAEnkxzVKT0ryyq2Ey5RYulM69AsS43OVHJQmylIHMqoSuQcwPFarUS46RAaG4N4qHn/yoK6fl/dR48PW+wbGhQotwGytoHlTUrADYMjuPA+Fwoub4GrN8L10e70dzcgiUb/o5ltw1MaAQlIxMB7imkOqmyLIfTDc1xhqbJUIQtb38jdKFvbglhy9vf4N5JF8uOCalwgmzGJnNMGMUDhgrGCcA3CV0te897SnEFAoGQHaK1U6mg0eIP4bcviKt8pTJvxea1sVBg89H/4vrLzsK4weeiuSWED/5xGlOH9AYHJvsJ7xmE2KYzpxJtJXQWOTdQrr76amzevBnDhg1DUVF7ST+Sg5J/5BLlQ+HErl2p2FuOYxGy/wjb9lVQ6M0oGTpd1K3bOmYuGIMeFqMGK175JKERlIxc5Dh0B+Qqd0lNqm5fQNgOiNz3Fa98gpX3XI1P/mnDJ/+0iba/c7z0mEi08pYtY5FSKKHQmVK+52Q1kEAgpIOUds6bcgksRo2Qc5nOvBWdm9HgbMGuo/8Bjv4HAHB+PzNqx1bCtnFpTvQpk9Lpqc6pRFsJnUnOR9gLL7yAxx57DEOGDMGgQYPSzkEhZA+5fJJ08g14oldgzFeNF4wTICJ09v3r0OT0ofr6/ikZQYnIdo5Dd0HO6HD7AnHbyhmnfJfkaBKNCbmVN8bnzsZHAhAJmVAYzCnf83xcE4FA6D5IaeezWz5D9fXtjRsznbdi59kZw/ui9eDanOkTH2LG62UqIbapzqlEWwmdSc6f8L744ou410KhUK5PS5BALp8klWZVsXAch9IRs0BrDFAYLFDozaIVmbDbjiKKhVGnytgI4slnw7+uRDoeMdkqbioay24biM1vfY1xV5Sj1KBEsVEHjU4lec58eLMoiobCVIaKiYtg27E66T0nHjYCgZAOctppjNI9uXkrWchT7DxbalCiNYf6lEnp9FTnVKKthM4k5wbKpk2bRN1d//Wvf2HhwoXYvXt3rk9NiCFRPkk6cBwL1udG0+FXRSFdjiOvIVB3EkBkNcYb4ODnwhkbQTykd4U0ckaH1KQqZ5wadUUwaFV44NcVaNixGq1uO0JtkxUt4cbPVyd2mlZCXXFWSvecdIcnEAjpIKed/mBY+Ftq3kol5Cl2njXRfthyrE/plv9NdU4l2kroTHL+hLdlyxYcOHAAQKQB49SpUzFu3Lhcn7ZLk8vyf3w+SblFB4tRk1HiOuNzCyvbQHtIl/naSQAiAqYfvQD6Egv69zV3KEGehxdglckKpcHS440TQL50sJQxGD1pvrxsBJ6eN1i4L1yrBw0x91POjZ9JOEGmpHrP070mUl6TQOjZyGln/77mOH2MJtWQp+h5Vl1szptmpkMq+pqqthJNJeSCnJvBr7zyCmbNmoUNGzaApmls3boVP/nJT3J92i5LV0hKk3P7qkv7oPec58FSCgRVelRpO1ZemJCYdD1i6TYa40IBhL1O0cpaIXqz0rmmrvD7IhAIuSXTaIJMQp4S6VOhV8hKRVuJphJyRc5Gj8vlgsvlgkqlwtNPP436+nrcfffdsFgscLlcyQ/QQynUpDSW5eBs9sPhbgHHMtIJdio1iizl0JpLYdJn5p0hSMN//w3OFjib/UJX4mx4xOQSJuWabhaiNyvVayrU3xeBQMgv0dpp0hfB7QvE6WssmRZskdKnTBss5ptk2ko0lZArcuZBGTRoECiq/WGJ4zjcfffdAACKovD111/n6tRdmkJMSosuyTh//Lko/ec2WEfPiWui19ku6+5KOuWEM0EqYTK26WZ36TlTiL8vAoHQeaSjr9ks2NJd+nsRTSXkipwZKN988w0A4KuvvsIvfvGLXJ2m25EoKa2z3MHRJRktOgVaT54A63MJVbxYvxd0CtdS6O7sQkWunHBHestEI3LjhwIINvwAx/ubhYIHcvXxu+K9JEmfBAIhmnT0NZshrh15sC8k/ZXTVIBCyG3v9OsjdF1yPisvXLgQb775Zq5P022QW6GhdcaU4zyzLV7RJRmdLQyKTVYE6k7CtmMNgIgYVc18MuE10Dqj0NiRxKmmR6YNNtOBd+OHvU6hOhtP7AN8R2OOcz25yh2f41gwgRZYx8wVNRUthIRVAoHQOaSrr+lWzJIj08USOf1VWfuAbWnOqq6motWSzyzVtWh86yW0njxB5npCxuTcQDnvvPOwb98+/PKXv4ROpxNeJ53kpZFboUnVHZyLhLXokowb3jmN2rELhMZTUg94ktcwcREcH2zt8u7sziCdcsIdJZUQho6EJuQ6oTLR8RmfG7bXH4dCb273/oX8UBRIHg2BQMg/+dTXaDINF5PSX8fRLSgZPDmub1RHdDVVrY59ZgEowTjhr4/M9YRMyLmB8u677+LQoUOi10gOSmKkVmg4Jix+sPJ74fpot8gdzLJhMM1OUEo1ek1+CK7je+H94r0Oi0N0D41vTrnwwtEi/GbqCqgVnOSqiuQD7I7VKB0xSxAt/nUSp5qcbDbYTEZKVVsyCE2IXolLx7hJZQUvehuAguPoFsnj89cdGY9rhP37zv1T2t8TIZ5giIFapejsyyAQ0iKf+hpNqhWyYvUvukky/xxQPGBoXOn/dOZ9qfOksxAV/cwScttF8zy/L5nrCemScwPlyy+/zPUpegSUUo2SodNFoSnWMXNBKdUAIsZJyHYKtp1rhPfLJywEAHi/eK9D4iBVklGboCSj3AOsQideGSKx/6mRrQabqZIshCHd0ITolTjr2PtSNm5SWcGT2sY6eg5Ynysuh4bkn+QWtUqBsQ/sSXn7fb8j/bAInU++9TWaRForqX+3PAyEguImyaPngNIaO5TPIqWztK44o2MSnSVki5zHNQSDQRw+fBhvvPEG3njjDezcuRPPPPNMrk/b/eBYwTgB2psjoq0kIdPsEowT/v2GXU/BPOjGrIhDOuVs5UoxKgzmgmtW1VXIRjnhbJFuY8TolTjW7025TGcq5SultrEfeA7mq8bHHT+fTSYJBELXoZD0lUdK28LO+vgmyQeeg0Kjz6j8sdx5bNtXASyb0TGJzhKyRc5N2vnz5+P06dOw2+34n//5H3z++ee44oorcn3abgHLcnD7AgiFWZgQSryawUp7LUAr8i4OsrG1prKCavBHyIx0K9lEe9RcH+2OL1EtMz5TCSVL5q2LPn4hNpkkEAgEKaS0jVZppOd5ChmXP5bTUIDL6JhEZwnZIucGytdff423334by5cvx6xZs8BxHB599NFcn7bLERsDSmmLccrmFeJin75jALSJ3Ka0jFtVqYKqpBcAIOx15kUwEgkUHZtbE5M/AJoGRVFE0AqcdCrZRLv8A3Un4Xh/M0pH3gFVSW+EKSWUxdJJ6qmECshtoyguQ9+5fxIqyMVWlOOr3TA+NxlrBAKhoGBZDkGGitM2NuSX0URVVKn4YGQebQv/5pHL50uks1LzOJD4WaKQSiATujY5N1DKy8uhVCpx9tln47vvvsOvf/1rtLa2Jt+xByEZRz9xEd7/mxezx10Io06FIMeifOyDaN73tORqBqVSo7x6IRp2PtWeg1K9EFCqEPa6wPrcWa3wkYxUHmDl8gdcJw6iZMgUUpawi8N7ALUcRKV9GZ8LtEKFpnfWQ335BITUBpj0irj9aBShorpWlFdVUV0LWmcUtpX01k2sBaVUQdG2XVx8dXUtHMe2kRKYBAKhIHH7AnjjwzO4eUItmna165/SXAHrjfNg3/usKBcVbdoVHa4VrW2AhA62vZeomljsPJ4sLzDR+/z1EcOFkCo5N1B0Oh327duH888/H9u2bcNPf/pTuFyuXJ+2SyEZR79jNaqnPI75f/pMqCyy+NbL0LfmCSjAxK9mhALgGAa9bnkEAAewLFzH96L44mFgWtyi3hZ8jGllzeMpC0V0uFm2kgjl8gdKR8wiZQmTkIv7kU2iuzM/Nu084P3X0GvyQ2D9PjAtbqERZKjhe1inrwQQaYjGMAz8bif8zS3Qa9VwHNsmqljjOLYN1lF3gWqrMsMxYSgMlsgqX9CPoKMOjW++AMbnEibZuPjqnWuEinKkBCaBQOApFF1lWQ6X/rwXfv/WvzFuaC1KDUro9VpARcPx7jqxJh55DeUTHhDm0+hqn+HmJtC6YoBlE1bkSjUkK1llr0TvyxlPxEghyJFzA+WRRx7B9u3bsXDhQuzcuRM1NTWYP39+rk/bpZCLAfX5WkXdbVf95W9Yde81sFoi/WTkPBD8w5/SZIX+Z5dFhEri+GFXA+z7/phSw8cQS8HjCkCJMFo5GkWsHioaAMsCkC43nOnn5q+XlCWUJvrhP7os5lm9inM2maY7cUd3Z3a2MCj2ucC0eHDmtUdE24XddtAcAyAy3kL2U2hq8/RZbl2JxpMn4kpWctTdCNp+EHsEJ9aCCQXg+/o4zFeNb5+cZcY+rTGI/p1qiWSy8pd9Njx0PUpKjMk3JBBySC51NV39ZFkOf9gaWZw8/pUNQKQ3y7q5vwTjc4nKpCtNVrBQgG5rRVBy3VRRjl959UKAopNX5OIrI4aCCHsckuHWyfICZd8PBSUNl8qaFcj0+YHQ/cmZgVJTUwOKav8B3nrrreA4Dueddx7efPNN3HLLLbk6dZdDLga0ySt+aGpwtoKL+nciD0TT4VcFY8V81XjJ47N+r+wKspTxUz5mLhxHXgPlc4G6cR4YhRINu3+X8YqI3OfmKz2RsoTSRD/8A5FxseKVT/D0vMGwGDVZP18mE3d0d2a+uScbapbOF1GpAETGc0NUhRqmxR23vbb/5UDQH1/zf8calI68A8W/HAnnh9vbw7cm1kLb/3KRkcOPseh/p1Iimaz85YaSEiP+s7I66XY/fWhnHq6G0FPJla5mop8cB8nu9j5ooB0lbpSsHbUAPmhQrAjAfO0kwTgB2qp57nwKvSY/JJtnwnEsgo4zYJud4jYGEuHWyfIC5d4HLW0gMZ5G1P3lIaKrBElyNhKmT5+OadOmoby8HDqdDjU1NZg1axZKSkpw1lln5eq0XRKpsnylE2qx59MGnN/PjCdvuxB/mnsxnr5jAIrUyRvmqcvPQmXNCrhOHESg7qRQOYk/vrb/5eh1y8NQGCyomFgLhd4ct4IsafzsXwfzVeMjf+99FkyrJ25FJOxxIOS2I+RuRKjZEQk/ayuFnMrnto6eA8/nR0hZwgREP/zzNDhbEQpLf88dRW7idvsCsvvw3ZnP72fGjOF9wam0QEk/VExcJFt+km9AVjn9MfSa9ihoXTF63fIwKiYvRVFVfyhNVpT9ahYYr0vaK6LSoGHXUygeMBRFVf1ROmIWuFAQZb+6LWLY8OesroXn8yOS1xBLKqWOCQRC1ydXupqRfqoi+hlNuUULjqOw/58BmG9ejqq718F883Ls/2cAFE1DoTdBVVIlqY1ssBXl4x9AxeSlqJz+GComL0XF9EcjnhVPEyiOAxsOQKE3C/vYDzwXaQAZpXfJSgjLvU8p1ZIli5kWt3A+oquEWHK2RH3DDTcAAF5++WVs2bIFNB15sL7uuuswefLkXJ22SxJd9SoUDOJUQyte/sCBycN/Bku4Eb4DaxBw26E1WaGZtBicLslqhqoICr0J5sGTEWr4PmKknDiI8lt+C9AKoNWD+tcfFyXZxVX8SBB+Jfyt0sS9H70ikizhPbbaF1/FyzrqLuLuTQD/8B89mZZbtFApc/N9ZTJxm/RFeOzOQdD46uE7sAZetx3+tkZjUrHOHMeC9UVypRR6c6Qp6Z72RNCKibVQFJcJOSyJPIKK4tK4MIeKS4D3RgAAIABJREFUiYtA//pOgGXBgUXp9dPBXjsxMiEqVbKfI5VSxwQCoeuTK13NVD+luttbjGpMucwA+7blgrZNqV4EtU4VqZKp1khqI8cyAAc0HXoRYbcd2v6Xo2ToNIRc9jivCR8iLgq3DgUQ9jqh0JsS5qtIVfCkdUaEnDZRoZToc/EQXSXEkvMnQKfTiUCgfaXA5/PB7SZWcix8tYwicznKe/fClBvOR99iwHdgrezqLa0zoqK6Vrxa0VbliKJoBI2VaB2+GEVT16Lpgpvx8GvfweYMoGHX03GeEXAswl4nQm47wl6nbLNFPjRGabKCDfnj3o9eEZFagZH73CqTFSpTGVTGEigN0mVnCRH4yYtfYeMnL5O+KCfn4yfuaJJN3DRNoULHxI/f1x+PHNNkFd1npqUZYa8D1rH3wTrm3rimpLYda8CFggg56uD5/IjIIygYwx/thtJkBa0sigtzsO1YDYSDOLNxGX5cdw/qt6wA52+B69h22F5/XH58yvwOSPghgdC9yJWuZqqffHf7l5eNwNPzBuOsXsWAvxn2nTGNGneuBtfqiexI0bCOmSvWxjFzoTBYhMpfAFA8YCjC7ob45s9RTW6jw61DThvq1i9BsOFU5L22OVtqro6e05UGC9iWZthefxyOI6+1e8inLBMiPHiIrhJiyfloGDNmDG6++WaMGDECHMfh0KFDuPnmm5Put27dOrz55psAgCFDhqC2tjbXl1oQ0DQFk74o4v4NJ27OyLY0y1Y5og0WGLVFcBRb8EjUKky5SY0zUscM+nFm86PtK87TH40r8Wpty0FRmqywjr1PcNtGJ+M1HXpRdNzYhHeScNxxoievfFSbkVvNSzZxp+p94DgWTHOTsLpXdetKyf3AhuE6th0l102F68RBlI26B0pTGULOejje3wzG50J59UKwoYB0vHNUaJioYtyONbIrd4lKcBIIhO5DrnQ1U/3ku9tHwyRIQuc4Flw4KBgCoipfN/1GtF90JETssWiNQRQBYR0zty0qw5xRxUN+HuAXmgCgqKo/yn59J2wN3xNdJciScwNl3rx5uOCCC3D8+HEAwOLFizFkyJCE+3z00Uf48MMPsXv3blAUhdmzZ+Pw4cMYMWJEri+304lOqJs//lwUJ0hI45gwWqWqHDG3A4gX3CI1DWXYK+kCDjrqRA9v4cYf4fnHYUHoOCYMTqGAdex9AMei6cgmsD5XuxCG/GDDwbgVkeiE93wnHHdnY0hq8srluTKZuGUTJkEh5LaDD+kDy8K2Y017eUxdsXSYAhMG43MJhR8ohRLhFg9UJZUoub4GrN8Lz98OwXzlOMn9ee8eT/RkLLdyR7oiEwg9h1zoaqb6KTl/yWhqsOlHsMFWKPQmySpfsY2cWb8XkDmW0mRFr1seARtsQfGAoXAceQ2Mz4WyMXPBBXyicK9UdFDqmhmfCwpjKdFVQkLy4k8bPnw4hg8fnvL2VqsVixcvhlodyYs455xzUFdXl6vL61Riyw/SFLDilU9gMWrAFRlQNmERGnetllxlSKXTNi+4vHHQeHQLrKPnxMTn16LxzRdE10WrNJLGT+X0x+B4b6MQ42/bsUaI8edYRuRR4Vdg+GtOVkM9mo4aF6T6UoRs1fXPZOKW9D5U16LxrZeEKlvW0XNAFelE5TEVenNcvHLFxFq4Pt4jjN32cVcL+54/iAzjUONpVEyshW1HVIPHiYvg+GCr6Pr4MMVkK3epNB0lEAjdm45oabr6KTd/qax94jSVz+VgfC5UzVod//6YuWA5RqSJns+PwHLdtPi8kLH3gWn1oO6VRaLrKarqD7pIi4ZoTU5xPpX1QreFohMIchRkwF///v2Fv7///nscPHgQW7ZsEW3j8Xjg8XhEr9XX1+fl+rKFVPnBpbOuwEXnluG6X/bF77d8hovPLcOsycuhVkQMEoXRLPyoY3/42v6Xo2zEzIhLNWaFI9o4YNtWQ5TFpZFS0Aol6LbqHcK1hfzSicghPwJ1J+F4fzNKR8yCQmeCorgMoGk07Ig0wFMYLKDVWrDhAMpuuL3tPHRaIT8dNS7SMYZyTWeN1c7olxKNVBEE3jgB2sOsek1+COZrJ8F14mC7x47jYB17H5TFZaBUanBMGP4fvkSo8bTIa0frzHFjl/G5QOvNcYmaJUOmiEMK2hLvFVoDmSjRPTSV0DPI91jNt5Ymmr/U5f1QWfM4wq6GSAhXW1I7AHDhIBQGC0pH3gFapRFCvBifC71ufQJl4+ZBqTMBHAvG3wKqSIPK6Y+BY0KAQo2mt19G8YChcXO/+dpJaNj5lOT18IuPcouJxAtNyJSCNFB4Tp48ibvuuguLFi3C2WefLXpvw4YNWLduXedcWAeJXomJLT/4xKuf4ok5V2Ppc39FibEIU64wwLF1ueSDuuiHz3FgfW6c2dS+rXXiIgSNlTBqi+KMA4pjUR+dc1JdCwcgrGwrtMWwjvsN7Ht+L1qFhiqSdxKoOwnP50dQNmIm+M71tN4c51qumvlke4WPFDw+QHaMi0KqvpSvsRq7wsdxyGu/FKlrMOmLhHsWctvjPHJhtx1sOABVWR+YLx8l8uxZR88BRyvAMQzYVi/Kb14KxhOpHseG/FBoi9F46AVYrp0EoH3sWsfMBUUroIzxiqisfVA5bTkYryvSzf6DbSgZMgUKrQGErq2phJ5FNsdqKp6RXPZIkTq33PzFhEJwuPww0QrY9/1Rci7lwkHYtj4h2reoqj8omgatVKP+9cfa80YnLITrb2/CcO4v0aQoRck1k+D7vw/R65aHwbY0g2lxw/P5EahKKmXn01QWE4kXmpAJBWug/P3vf8f999+PpUuXYvTo0XHvz5gxA+PHjxe9Vl9fj2nTpuXrEjNClGNyy6WS5QfDbWUJ548/F60H10g+qAMQrUYwPndc8zr7jtVoHb4YjmIL+ha3Gwfmq8bHVznauSbS1XXETHDhENyfvwfjz68SVmIAgNYaAHCR7VQqsB6HyCCKNXJiQ2dSTTjOhnGRqjGUD/IxVqVW+B6/66q89ktJtsood08YTxNotS5uTNoPPIfK6Y/hzGuPRELAhs0QEukjk+uDsFw7EYzPhdIbbgeG3QpwLCilCrRWH399Lc3CeOWxNXzfKV41oPBypLqqphYabDgIOqZse0e2I8STrbGaqmckFz1SEp1bTiu/t7XgwRc/xqBfVGBB9SKholf0XMr4xGXYi6r6o2TodATr/y3oZ1FV/0i1LiYE04Dr0XRkEwKXTIXfZITxf64WtSGoqK4FFGrJ6wGoTotUKDT9JGSfgjRQzpw5g3vvvRfPPPMMrrzySsltiouLUVxcnOcr6zjRKzHNLSHJuusMG/m/RadAIJWKW5MWg9boJR/qz7IW4Qe7E63mXoJxwFfWit0W4ECpitB4eD1Kh9UIIlVU1R8l103FmY0Pt4eSDZ8Z382bN3JuuL1Drt5sGBeFVH0pH2NVaoWvrtGb134pyVYZpe4Jn6dUOnyG9IphS6QZaOmIWaIymWG3HQ27nkbpiFloOvwqKqoXwnFM3EFeYSwVxTkXkletEHOkuqqmFhq0Uo3/rKxOut1PH9qZh6vpnmRrrKbqGclFj5RE5zYb4rVSP3oB/rj3BwDA8a9sWAvgwZonQIMRzaWxOmu+dhLs+9fBOvY+0Xwe661WqJVQgo1rQ2DbuQa9pj0K69j7BK8Nr1dyHeJzramFqJ+E7FOQd/Lll19GIBDAqlWrMG7cOIwbNw6vv/56Z19WVoheidn53kncP/kSUd31+ydfgt3vR173BjjJHgyxFbds21cBoCS3ZRpPQfvOKig9Z6Cy9omsbJjLZXs7KPQmlAyZAjbQKpwj1uNSPGAoGJ90N2+Ak62PDsTXSJfaJlm32lSINob6zv2TELvbXcVLaoVvy9vfYemsK/LWLyXZKmPsPamsWQG6pDfMv7oDnLJIevw2NwGArFHNv27bGekgz79u27EGgTP/QrDhFDiu7fwF1NOEdKgnEDqfVD0jueiRkujcsVppnb4Sq/aewTenXMK2x7+ywc1q4ntKMYBPUw7r9JXoPed5qEv7REJp2ypqSkVQ2A88B71GAX9AurUB63WC4ziUjrwDfe9ZFzWfSj935FpTiX72DArSg7Js2TIsW7assy8jJ0SvxHx7yomNB7/GPdUXoXe5Ef9taMbGg1/j21NOnLZ5cfuNP4c1yo2r7X85SofPBNvqiVQ1+mi30PEVNC1b3YMP9+LdruFwGBUTFwkekGgDgBfGsMcheDFiHw5pjUG2m3c2hClbSXU9Ke5VaoXP2exHmUmT9br+sXHTRq0aza1BAEi6ykhRNGidGXWNXjg8fjy75R9ocLZKhiyUTaiF+8NtkXP6pctj841D+XHKE3ZHclVs21ehouYJuFkNitRaVExaDMfRLTBdMaa9SAQiK3L5NF4LyZtDIPRUUvWM5KJHSrJz8/MXy3JwuVvhaA6I9pe6znCYxff1Hjy5/lMhbOzZOZdCabLC9dHuSNVEpVpSe9Q0QBt18MuUaFeXnw1KpRbNxbTOKMrr83x+BCXDagBEcg5zFXpF9LNnUJAGSncmtmmTs9mPUpMWVpMW/kAYzuZId3Znsx/BMPDOyTCGTl2B1kAIeq4F9ZuXxxkgjM8FhgWK2h7q2WAAIfsPouoe/I/X7fVD7T0D1wdbhSpctN4MurisPZmdoqEsLkHFLQ8j7KyPeDQmL4Xr2HYE6k5G+k20dfMWlytelLUQqp5kXGQDuWZgRl12GzjycdObDn2NYZefhcoyHYIhBm5vEC3+EBbNuAyrN/wtYUMyty+A+iYfnt/5hTA58yELD9Q8ATAhBFkaWz+ux5jLJkDZ8H1kco0piVk+/gGwgRZUTn8MbMgPjuOEc/DGS9hth8PlxZ1/OIZyixZPzrkSJddPB+t1iYtE5Dk8oJBypAiEnko6TRSz1SNFWOAJsVhx91V486P/h5//pAwmgxoWYxEMGpVoW15v7598Cf6w9bOE1+ls9gvGCRDxyDy75194YOIiNOxYDcf7m2EdO1c6n4SmoSm2xC1e8mG4ZSNmioyNcDgMtrkRbLRxcv10IBxC3etLcqqtRD97BuRu5plEKzHRr1MAOI5DSbEG8577ONK08Yi4zJ/9wHMoHXkHWmgjmrkitHqDMOnNAFxoOvxq3I83CAWUATfsbeLDV1RSmqyoqHkCSlOJ+GLDIVFSMt9J3vP5EViumQTnh9vbSw0bzFCYIkYOSV7LP/nqLu/2BbDp0NcYe+052Hfs3xh77Tl4/OX2yX3+LZfigWmXoqRYiyK1QriGaK8LABh06rjwhuNf2eC56SKUmS0ItAQw+ho9QHEon74SFMdAoS5C1cwnwIVCbbHPjWg8+Hz7+LxxHoqq+oPxuQTjXWmyoskbWVVrcLbC2dAEvbK9az3QOSWoCylHikDoqeRLN3mkEuOXzLwCW97+Bp/804ZyixYPzboCZ1eaQNOUKE/F1RzE7HEXwmRQw2rWotSklbhODvPHnwuLTgFnC4MN75zG8a9saL7pQlinrwTNMQhxFKw3zhNy+viCIwAVSbCPqXboOnEQ5stHofHwelhH3QWlwQKGYRBuPI2GGEOGaW1G455n47S1subxrD4LEP3sGRADJYfIlRCUW4mJft3Z7MeDz34gVPqSS5inTFV4Yf8PmDmmCovXfYBltw1Ev4riuB9v2c0PIeByQKuCpGsUbLtrlONYhD2OuBhP+/516HXLIwg1nobn74dQPGAoaI0BiuLS9l4nJHmt08hHd/lQmMWwy8/CH7Z+htnjLhRW9ICIAfDM6//A7HEXosysE64lelK2GDWY8qufobfVgN/OHogtb3+Hb085AbSHLNA0Bb1GjdZAKxweP/7lDeLdEz/gzpsugCnQBNvONSgbdY9gnABt43Pvs5Ga/uEgXB/vAeNzQTtqAf6477Rw/Ra9AjSr6fTwANIbgEAoDPKhmzxSifFPrv8U9918MYZdfhaMOhUcHj9KTRqYDBqwLIfZ4y6EUadCc0sIO987iW9POfHyshFxxgnHsTAGGtB6ZA0CbjuKTVbUjl2AF44W4Yf6Zjz60idYPfcavLr3KyypPgulI++AQmsErTGg6d2/iKpv0lojmBY3aI0h0k2+LRojFJwFimHAep2CcQJE9bS65RFJbQ27GmDf98esPQsQ/ewZ9DgDJVudtVM5T0caO/EJdHylL2cLg2IJl6a9OYyZo38BjosI2aZDX+PeSRfD3PbjZUIhfG9rAavUonnfSugnPyTtGm2LxWfZMBh3IziWlU6Wa/EIvU68X7wX1+ukkBok9nRyMdZVSrotFEGDvhUGySTPUpNGFBvNT8oWowY1o34uClOYN+US/OXA13A2+yMhaVo1HB4//IEw6hq92PL2dzAb1Zg55hcw062o3xkpu00plNITodsO1yf7UDp8JrhrqlHvDIm20WlUYN3STUjzHR5AwhgJhM4hX88BscglxlstOjzy549EDZv1GjXc3gBe2vOl8Pr9ky/BvmP/lqwexvjccUZD68G1uG/K43hs09cAALc3CEdzAJs+dGDG9b2hUgIhx3/B+lzCPrbtq9Br+uOSURiuFhaW4CkgFJBe6OQ42VzBbD8LEP3s/vQoc5M3Gh589gPcvuIwHnz2A/xQ7wHLcsl3ThO5EoJuXyDJnhH4BDq+0teeTxugHbVAVNmqrHoRaF0xHnnhI9yz+j28tOdLjL32HLAsJ/x43TDgwRc/B8VGksrYcADW0XNEx7GOngOWosEwDEKOegSb/iu8F43SZAV0JtG++tEL4KO0wjYkea0wyNVYN+mLYLVocevon4PjIFS14Sm3aGE2FIlio/lJufr6/nEel2e3fIbamsvw1P2D/z97Zx4fVXn9/89dZt+TzCSgoN8qLrUo+hVwAVpU1C+CCAHZlMWCrYJYUYMLKqKsWi1KtV93XBBUsMryxd2qpUpsadX+1GIXBCGZLDOTmcms997fH5N7MzdzJ5nsM8l5v16+2gx3bp7MnHue5zzPOZ+DQR4bDnmDuPWRj/Dw5j/DxkSxcvZJ+NUVJ2LTrq8gptmWXDSfDu9wQxKScA4fj6rNK/DDY4vA7F6F2y4fgFMGO+FxmcDr+FQT0gmL1SpxXVg/RRBE/tKT64CWyPN6Oh6XCUdrQxkNm33BKFY9q64nkU+utWpktOZezuKEnhVx0+XHYc01Q1H596O4bc7ZmDXSCv8rK3D48UWo2/Mkin42C4aBQwCk5utAJAnrhJsz5nqbWQfva+sUkZx0eIcb4PkMBU73ZdfDv/d15d60FiBypV+doHRXN1gtOtvYKb1474XdX2PGxSdBdFrhnHEfEvE4eJ0OEb0VKx79JMOBrV00SrmP7BAFcEpTvIa/fYDicfPBGq0QoyH4K3cjfvZslLEcxJAfdXueBGdxZhQlu8uX4cl3jmL8/9yJAU4dIIo46k+iRBSRDPmaHA/Ta7vTVPvSTHfZOssy4FgWG7bsx+1zh2cUbi6ZfiY4jlHtRso2aDPrVM/EKYOdmHvRIDiYIDhWj3AMuP+ZzzDsxBL8fIwDtdvXoqrJ9q4dvxRJprkwUlakyeg8z7CKzQKpCTG86yGsnLsKUc4Cnomg5o/b4BgxAWUz7waabIazFfVbWyGI/kRPrgNaolWUf/vcEfjd9i9U13l9ESRFSXMNIaeJpyNJIsByOPa6jYAoINlQh9DfP4Ft6E/h3XwPkk0pXzPHL0WSjSH85kMZ6Vkl469D1csrwTvcqK6PQDI4oL/oNlgNDHyNAh598xCWXmHM6n89U5eBtRaDc7Cp1KtEHPG6wyqxHipkJ9pDv7KU7ugGm432NnbSOnJOL94TRQlP/v5LpZBu+TUj4dAjoyDum+/9SN8Hkh2iPwGYxi9Fw+fb4Rw+Hv7K3XCc/T/QFR+DkouvQXWDAFaIo7ppcZcM1KD+gxdRfOlC6IuPgcSwiHBWNESqYWciqH15FZKBGugcbhjLK1Dz8SuIHKiEachwlJZXoLopFaeniteo9kVNe229PSkPSSF17xp/FO9VHsQNVw5TCjYDoSh4jlHdUxQlrLj2HEBilGfilMFOVEwcgMju9fhBDjCmLsOwE0uwcNwAeF++NyNVwTbrXpTNWoG6d59D5EAl/JW7U0EGJIjRMFiTDQy0a6x4RoTLZoQk6VH00xmZxZVmW+c+8E5AgXX/pD2d5MVEHKyOutN3BT25DmhJy6J8AKiqCyvqnTIelwk8y2iuIfQ6FoFwFPpEGKyUhMQbgFgIUsiv2lAsm3U3qjavzPCjZVetxGENH6lzlWLgwofB6vR475MajBnmRCQmAuCU6+pCSdgdbsSOHED9h5ubRXLsJWCtLnBc6lre6oIkiRDjEQhN6WM9WchOPrVv0K8ClO7oBpuN9sgXtlavkl5ovGjaMFw7ObWAtJt1SNR8D3taQdyKaRV45fMi8Fzz38OyDAZ5bKjxN+KJPfWYNOJKOIqccI25Et7XmoMI94TFgFSiWtzFjhxA9dbVOPYXG1C15X6UTrsNN005CbUv3KGuMdm2HsXj5iNyoBKRA5WoBzDg6vshiiLA8uCt3e8c+mPtS3pQYdCxEMRU8KDjWRh0udu6VhH7wBIrjAYeTmtmoMJzzemHCyf/BLG4gBVP/klluxajHoe8QeWe8yeepjQgfWTrfsy9aBAiu9erd/FeW4drZt4LNPq00wSDtaja8Sg85RUoueTniNd8j5o3H4HpxP+G5cSzULX5XhSPm9/qCV6+FVdSYN1/ybXjPJDqOk/d6bsGg47FPQtGwqjnlcJzXzAKnmPhC0a7pS4lfbNGFCVIEqDTsZAk4M2P/plxEn3HvBFwWjPXEMvmno1QOAZTYzUCu1KnIKXT7wCADGVCMdyg6UeZLHUi8bofwHI61FXuxozR0yFxYdS2KLjf+fcwZjZJFseOHEDdO8+mUrrsmSfQveVryaf2HfpVgNKeoKGztEe+sOWRs8tmRF0gApOBV0m1ph8/JzVUNOq2r8e0WfcjlBQgipIi7+oLRtEYS2L2paei1h+BkBRR+1qLxeHOjSibdbem40o21KnkArWcXnqTvMiBStSOnIVrH9nfbnGAjtLfal9aBhVzLjsVG7Y0T3D3XnsuVl9/PuoCUQSaVLBmX3qqpq23LGLf8fE/ceHw4+Cw6hFPCChxmMA3BTaiKKExmsCNM87Ehi37EYkm8egrf81Il1i7aJRi0wsmDcVDm/+sksr8URmDKo3vS89KiGdpAioXWnq3rYdn1r2o3roaAOCesAhVW1dlTT1ouWuXT8WV/TGwJojeQhQl1DfElB5MslBHkd2IxmgC9zzxp5w2adr7O+VeJtMuOgnBcBxGPY9oPIljS22Ydckp2PzWN4qEsN1iwNuf/huTxw5Bkd2A68pPV4KpxkgSUrgB4rvNKVqsLrUuaDn/ZW2mrNOjdGoFqtM3KNN6qhWPm4+abetQfOnCjNOXGVetAm915Bx09IavJZ/ad+hXAUpPa57nKl+YfuR88mBXhtLRvdeeC7NRp+yOOyyGrAvyYLARPzQmYdClApv0Rez8iafh8W1fYM3cU7UVumKN8JRXwJuWnuWeeAPq339BuQai2GpHb/nn9N4TPZHf298aN6UHtQsmDVWCEyAV4Ka6tDfb0J3zR2CQx6Zp67L9LZg0VOltkm5/LXX55Ul8waShcDtNmukSSVHCTTPPQrAxAZfdoFzz7fc+rH5uH9ZcM1RTlU5iWM0moJ4pt6DuracANNmqkGaHLKvcJz31QO85DmA5MHmc8tLfAut8I9eUqGzXxRMC9DpO4x1EPqJVf7Jhy36sWzwKyzZ+oqk02NkNNvl33jjjTMTiQkZwNKjUpkgMB0JxPPPm3/Ht9z5MGH0CAODepz5T7rXm+vNh1TGqlgNiNARozH8Nf/sAJVMqULtdI92aYVE2awWEYB3EaEhVJ8IaralNR516vk4GauAPhBFt5HFcmbNHVM86AvnUvkPfXL21Qk9qngOZuf02kx7BSFz1MwNg3eJRCITiMBk4ldKRvNi85wl1Cs0gu/aCvC6UhNFoRiIpZixi5V1sncGg+V4hHABXMgjOGfeBRxKS/wjq339BXeCm02d0mvVceSekSIPS0TtmLMaj2w4q9+6J/N7+1rgpPahtWXxefsEQVcDi9UWw6tl9WYPE9CJ2uceJ1nsdFgNicQFeXySlNPPcPtwxb4RmKtkP3pTufirAPi/jmjf2ebF06jKlaSjvcKNkSgV8EcA5YgL8+3Yq+c2s2Q7/3tdVdhiIiHCXL0PNtnUZQXPsyIHU5HzxfCT9XoiJKHhXGfRFA/LuiL+/Bdb5Rq5pVtlSp/Q6DhNvfkP12o5fT+qSsRFdT9b6E0FS5smW/q+zG2zy7yx2mBQpYfneG7bsx5rrRylSwjJyOq6slCj/W1IQEUpIMKX5DP/e11F8yYIMURvDiHJs/XMYs65eDRYCRHAIw4jGUBw2kwVMLIKaHY8q9zEMHALn6GmpuXT6HZBYta+U1xcPv94zggIdhXxq34G+sW5CFCX4Q7GMfg4zLj4Fa55LSQeOPK1U9bN8WqK12JR3rG1mHeoCEbhsDniackFlh2QavxQv/MGLS84xQ8ezWRex9TEergk3I7Tz16oaFEZngO/tZxA/ezY4ix0mzqYqcLNNvAVhxgSbx6Z0mhWFJBBvVBydfF063VXnk06+1RZ0N+n1VHKvnGwBC9B6kCinPtYFInBYMzu8y+89WNWAukBE9bu2vX9ASfdq2dtEfu9zO7/CbXOHY+2mSuWaCaNOwJZ9VSifcR+ikSi8DQm88JYXU35mg05nhf2scWB1RkiiAFEQED34JYBmuUvJ7sSWj/6F6bNXIZQQ4Cm/Fd5tDyAZqIFpyHAUjZ6Goy/eo7JvwWgFrxGwagkEAOiRPgn9LbAmiN4kWx2qXJDeXt/Znt8pZlHlEiVJM/XcZtKjqj6s+FeXzQiziQcLe0rM9OmbAAAgAElEQVTev6kGRQj7EWP04F1FKLtqJZJJAUd9CTz+wRHMuuRUcBabUg8o3/+R689Cw7vPKSfVnMWJorFXqQIcT3kFTEOGKw0c5aa3Xl8EsXhzGjnQPpGV7u5BQz6170ABSjegVfS+ZPqZYBgowQgAXDj8ONXPXl8EVXXhjMWm1rHzbXNH4Jt/JzF21v0IBhtRF0rihT94ceVFJ8Nh0YNhAAbQXMR6/TFs+bwOS2etBCfGAYZFMliP+refRuzIARwz7hqEWD2OBJ04bsZ94CFABIPGmABbIgzG7ALnKAFYHpwk4uiLzd1jk4EaBHc8iAWX3IZbnvTD4zJh5bXnwMZEkAgEuzVwyKfagu4mvZ6qZZAQjSc1J2EA8AWjGROCnPpYZDegMar9XgZQUgXTCzp9wSiK7EY8sGQMkkJqEl///OdKd/iTB7tw4fDjYDXpsGbRKAQb4/DWR/DC7q/x7fc+fPLFUSyYNBSrn/sLAGDu+NMQ503gDGbEojF4GxL4f9+GMX76Chh4QGI4xPQ2JAXg/GHH4v9VxfDWp//B3LHHomzWCjAsCzAsjr6wPKPGasDV92V8jtkEKnQ8m3Fq2R11VP0tsCa6l86mrPV1stWhumxGZZMmm/9LX5B35Hf6g7EsqlwcPC5zRup5y3TawWU23P2/e+GyGTH3slNw/Mz7oWMESCyP72oFmJIMfrf9G5RfMAQ2sxkLrzgdJQ6TZlpbpDGKyIFKcCYbyqbfCUZnyJjHvdvWY8BV9yFxwVzUhwQ0CBJ+dfnxCMUk+BoaEYklcVyZHQBybkrd2QbWuUA+te9AAUo3oOUQHtm6Hyt/cZ7KOWnt1mx5+x+4Y/4IrG5q0BSNJzHj4pMyjp3XbtqHBZOG4je//w6/nHI6SqwSrpnowdNvfgV/MI45l52qUgdJX8Rue/8A5lx2Kr73hmF6d23GUWg0CYg6Cb/Z8lcU2QxNcrCp3Zpo024EeB2qX74P7ok3aOZ7Hl9qxtPLx8GgZ2EMVeHIc6So0R7aSg1sKUNt0LFKkGDQsRmT8I0zzsT65z9XOra3nBBYloHDaoTFKOLO+SOUBmHyBMKyjJLa9cLur5XTPE+RGSVNEsNAKgCSJTO16qmWTD8T295PpWrdMW9EKgC3G3HyYBd8wSgOeUOwmXW4/bE/AYAiR1y/dYXKfqJ6N9Y9X4kzTizBry7xoG77/Tgsy2vOvFvTJiFm7oJm64lwXfnpXZrm0Rr9KbAmupfOpqz1ZWSfarfosWbRKIiiBK4p5ZvnWWWTJn3+lX3W/77+BWZfemqHFtLyBlCwMabpW+Ui/Ja+Rc6AkNNp11x/vvLzpl3fNPnWvzUrfM0ZDgBY/dw+eFwmPHjjGOU+cj2g7Hv1RgNMQ4bD9pPRqNq6Kus8ngx4EfhsB0pGTYN3+wOIBWpgcrhhnXAzHn+rDtdPHQYAOfeV6akeNORT+wYUoHQD2fJcRVFS7aC0TM0BUgu8EodRtfAMR5Ka97OZdfjs79W4rpwBIGH571L5rXfMG6HspsuqSQ6rHqVFZqxdNAqxhICGcAyMzoaSKctQu12dJrZx578wZewQrLj2HDTW1yOyO1MRQ1b4kDt6twxyOJ0OHqsZyZAPR0hRo11o7TLdPm8Etrz9jaoPTroMdUtsZgMevHEMYnEBh71BPL/ra+VUo7UJgedZHD/AobmbJ9uqXOguT4LpE7bDYlAmYa3O8Y9s3Y8bZ5wJSYIqcLlxxplw2QwINsYRT4jwuExw2Yy4Y+YpCL5yd4b9uGbeB68vgguGOlG3Xa1Il/Adzape05Jsz6pRz2e81hN9EgiC6HqyZTXs+PifqsDDYTXCZjZg7aJRqPFHEAjFldPefx9p6PBCOv3euYr0tExHS18vaPnWdc9XYsGkoXjqjS+VFLGWf/NNM8+CKEl4dMc/cfPlc5V+U9nmcTEagv2MsfBuf0DlY0M7f41JYysUn5hrWlxv9qAhCg/awu4GZMeSjsdlgj8Yw+1NRcUA8F7lQdXPSu6p2QCXzQiPywyH1QijgVeuOXmwC3fMG4F1i0fBbjFg5GmlTdKJUc0aBHkxuWzjJ4jEktjx8T8hSqlWjhazAUGDG+6rVsE+dwMaxlZg/Y6j+PSrajz44p9h1PE4vtSsLSvcpPAhy7ryDjeAzGZMpKjRfgLhGF7akzqlWHP9+VgwaSi2vP0NLhx+HIDmXadAOJb1HvKOHMsyuPepz5TgRH5/axOC/F6Py6zcQ05TaGmrLWWLWZbB4FI7Vl13PgaXWjUnoxKHKWNy3bBlP+oCUfz6pb/AbOJx+9zhmHPZqRDicU370TEi7lkwEh67LuPf/R+/itLyW7PaZDrZntVoPJnxWnfXUREE0T1o+VRZTr2lL2VZBhKAZRs/wern9im+sysW0lq+NRstfW76eiFbrczxA1On6seV2dHQGM84rXj45b/A7TTh06+q0dDYPDdrzePuy66Hf+/riqpXOslADf6r1AyDjs3qQ7X8ZXuuJQg6QekGtPJc75g/AiUOIyxGvWoHxWbSZ91RkY+kJUnCnfNHYPNb32RIwN4xb0RTB+941qLpkwe7MOPikwAJuGjE8fjrt9U47YQSRVFE3k164d1/4dvvU0XxXl8ESUECdNqKGGIilcajyLpeuhD64mPB6PSqfE9S1Gg/oihlfM9Lpp8Ji7H5M8t1ssy1OWlbhYvtkehmWQZ6HYckk9kJeeRppWAYRnNy5Tk2tRO46XOsXTQKazZV4sFrh2naz3dHw3j89e/w8C/PRLTFvwthP4RYRNXlWKuRGJA9Jz39c+vOfkkEQXQ/rflULV/a3qbO3VH4reVzbSa9ksqrNT6jnoPLZoQoSoriYjpeXwSQ/XJDQpF6V8/jxyBe94MiPZztdOVwbRR6ewyDPLac+8v1ZC86ovChVWI30NZiruURsdaRccsj6ZGnleLaK07H7Y99otoRWf3cPqxdNArvVR7UrDfRbuJ3Hu55Qi13+MjW/U3FyvsApJzdf4424JnPD2Jpk5xreg0AeJ3itISwH7ytGLzTnbEIJEWN9iOKkmZq1D0LzlWuyXXXKZcJIdfCxVwkuls2kFw6678VeeuRp5Vi+riT8UNNUHNyDTYmlL832ST7WR/jYR+/VKmBaqkm8+iOf2bYp3vCYtR/8CKEsD9rl+P0v0nrWQXQY/2SCILoXlrzqVq+tD0L6e4s/NbyuXazHkfqQhnqifL45PFkK/jnWQZ3zE+lDF+b5luFsB+stQicowR8PKooeDb87QN4ptyqpHk1++CDqA/+QzmxyXXzqid70RGFDQUo3URn+620LCb77O/VmDI2orkjIogSZl96qnKE7bDq4Sky4VczzkKRw5ihvd4Qjmnex2FN5egrJypNubcPAbilSUtdVsQAkJNKBilqtB9J0s7pldOO2rPrlMuE0JWFi+n3StmmqHRCtlsMuPepP2UogaXbm/z38VzTLp8/hi2f12PS2Ar8qNSMf1U34tEdh/BN00nfp19VIzx5qMq+wLDwTLk5Z1vL9qzmq84/QRDtozWfmi1VNdeFdE8Vfsv4glHc++SnqtYD0XgSDoseLMvAF4xqKi56XCYsnfXf4FgGdosec8afhrAowHHlSiRiMfjCAuLWMkTDSUhGD0qvXg2ISfynuhGvfVSPuTPuQzDYCF+joPLBiaTYrvVOT/eiIwoXClDyFK1isvQ0LhmPy6Q400XThiGRFMFzLHgOMJt4BEKZwUi2+9jMevxu2QX4vjqkBCdAahEYuOJ0eFxm1X1YszN1rJ0QoQvFszpwUtRoHzqddnqBy2bA08vHtXvXSa4hkVMQAuGY6v1dWbjY8l4swyidkNNVaNKVwNwuE578/Zf49ntfhuznS3u+xhU/PREPv/yXpgLQ7zI+l6QAsPb87WxMFD6tyfJSY8b8pzWfWpymQphOrifG2VKpuqvwWz5dljMoZJ644yIAavWvdD9b7DAiIYi49dGPVeIkG3d9A18wijvmjUCwMaGSV7/32nOhtxvw1+/+gbNPG4Cn3vg257Q3gugsFKDkKVo5sO9VHsSyOcOx7vlKlYMx6FhNZypJQEM4UylM6z7LrxkJu0WHWELM2tU2nZ7QM++vZEsvyDaRtoXWdyXXRNnMhnbnW7dGa8oz6f8/XQnsgSVjsGjaMFw7Wb1TKQfdoijhuvLT4bQaMux2yfQz8dQbX2LRtGG0K0d0G7nK9wL9U8I33+lqnwqgzVQqHc92S22KcrqskboFqH1wup9ds2iUovQJNIuTrPzFefi+KohYIonVLfqy3fPEn/DQr8bgwRvHQBQlTZlkqh8hugsKUPIULYc6cfQJ+L+9/041bSq14mhdGEX21CJTi1hCxIYt+zOOebXuo+NZ2MwG2ICccm97+li7P9HVebpa39XqZ/fhuvLTUewwtavIsS1a2q2sPLPmuX2aXefT+wBofQ4umxFeX6NyCnPyYJeyI+iyG/Hw5r/g2+99uHYyyVQSBKFNd9Q+yH5VK5Uqm8xvV2ziuWxGxafK97193ghl3s0WjHGstjiJryGq6rPS8t9jCVHJnnDZjFQ/QvQYFKDkKbJD1dJj/+K7WqxZNAonHOtsU0fdF4zihd1f454F5yIUiWfcZ+UvzkMiKeG5nX9XdqFzceSkZ969dGWebmu9PuSgsqsmb5ZlMMhjw9pFo5AUJfAsA6fVoOrrI6vQ5Pp7su0ILpg0VEkLozQDgiBao6trH7KlUsnNa7trE4/nWRzftDaQfazcbFKmyG5QmlHqdRycVnUvK5l0cZJoPNnmSTrVjxA9Cc3qeQzLMih2mGAy8HjqDXWOfonDpNJRF0UJvmAUXl8jfMEoRFFSdlJ8wSge2bofSUFU3efGGWfi4c1/wVNvfImJo0+AKErK721Lq530zAuHbN9VsDGhBJXt0edvDVGUcMgbxG2//QS/fvHPOFjVgBp/BJIElDhMcFiNKLK37/do9WC5cUaqIz2lGRAE0Ruk+1V54+Thl/8CHZ9Kue7OTTyeZ+F2mTGg2AK3ywxeTicLRfFDbRAHDvnhrW/EYW8QjdFUANKWHy0rtuTU64ogego6Qclzcjmabq0eJP29Rj2LVdedj2RSRFV9WNVd/JGt+7F20aicx0V65oWD1nclq2Z1dVCZnvZw9fhTM9IeOpLe0PIZYBmAYRjcctV/K7uDlGZAEERP0tYc2JW1fW0hrwEisQSSgoTHt32hqlO1mXVwWNXZETzHgmOBijlnk7w6kZdQgFIAtHWs2tZRsvxeXzCKOx//I26aeZaS0y/j9UUgtXNMrQVO3VEcSHQM+bt6YMkYRGNJHKlNqbT5gtEuDyrlXcMFk4Zm9B14ac/X+MXk0yEBHVIio9QCgiDyhbbmwJ7cxJPXACt/cR6e3fGVkm4WbEzgzY/+iWsnn66MuS0/Sn6WyBfyNkDZsWMHHn/8cSQSCcybNw+zZ8/u7SHlLbkeJcvXtew0D2RX6vKHYognBLAsA4MuVUgvO+Bszo4UvvIPlmVQZE91GDYZedWumdZ30tEAU941dNkNKvs6ebALE0efgNt++wnZBEEQfYLWFvwdLcxXfG9CBMOk7iNLxWd7rzy3syyDiaNPyOgxxZCLJQqQvCwYqK6uxsMPP4zNmzfjjTfewNatW/Hdd9/19rB6Ha06EyD3ehD5um3vH8CS6We2mmsqBxm3PvIRFq5+F7f/9hMcrAriSG1I+b3ZyHaiEwjHOv0ZEJ0jl1oT+bu/ZcNH+Pn97+CWDR/hYFVDm987kNo1XHHtObCZ9CqbLL9gSMaJCtkEQRB9mWz+NttcrvK9q97Bbb/9BIe9Ifz21b+26oPluV0QxAw/+8jW/WhXegRB5Al5GaDs3bsX55xzDpxOJ8xmMy655BLs2bOnt4fVq7S2aNQqftM6Sk4vmn9h99e4rvx0/O9tF+KBJWMydrK1gowNW/ajqi7c5qKSFL4KG39IO8D0h9oOJliWgcWox7M7v1IFwQ6rnmyCIIh+T2tzuda8+8jW/bhw+HGtbujIc3tjNKnpZyk+IQqRvEzx8nq9cLvdys8ejwdffPGF6pqGhgY0NDSoXquqquqR8fUGbdWZ5HKU3J4j59akadtaVPZkcWAhUGi2Gk9od0aOJ4Sc3p8URHz292r4g3ElF9radKJCNpG/FJqdEv2XQrbV1ubybPOuzaxrdUNHnttbaxpJEIVGXgYokpQZ7zMtkig3bdqEjRs39tSQep22TiVyLSLO9bpsQUY0nmzT2ZHCl5pCs1WW1e5UnGutiGw7svQmAIw8rZS6EOc5hWanRP+lkG21tbk827wr1422NvfKbQlo7iX6CnkZoJSWluLzzz9XfvZ6vfB4PKpr5s6di8mTJ6teq6qq6rPF9D19KqEVZNw440wU2Y1tOrvu6NpbyBSarRp0bEbH9xtnnAmDLjdb07Kd2ZeeikEeG9lEHlNodkr0XwrZVluby7NJwu/4+J85BRo09xJ9ibwMUM477zw8+uijqK+vh8lkwttvv4377rtPdY3dbofdbu+lEfY8PX0qkS5Nm03Fq633k1xhikKzVZvZgCJ7AteVnw6jnkc0nkSR3QibOTdba22SJJvIXwrNTon+SyHbamtzeUvfySDlTxdNG5ZzoEF+lugr5GWAUlpaiptuuglz5sxBIpHA1KlTcfrpp/f2sHqV3tgZkaVpif4FyzIYWGKFxaTrsK3RJEkQ+YuYjIPl9R26Np4QoNdx3TW0Pk9bczn5ToJIkZcBCgBMnDgREydO7O1h5BXkuIiegmyNIPouLK/Hv1aV53Ttj+7chok3v6H8vOPXk7prWP0G8q8E0TYk7UAQBEEQBEEQRN5AAQpBEARBEARBEHkDBSgEQRAEQRAEQeQNeVuD0hEEIdVIrlAaNhH5RVlZGXi+Zx4JslWio+SrnR577LHdPRwiTzh8+HBO1+WrrRJEOj1pp0TuMJJWV8QC5fPPPy8IHXQiP3nvvfd6bJFFtkp0FLJTolAgWyUKgZ60UyJ3+lSAEo1G8dVXX8HtdoPj1DKIchOnl156CWVlZb00wrYplHEChTPWXMfZk7sordmqTKF8vp2B/sb2k292ChTO91go4wQKZ6ytjTPfbLVQPtOW0Li7FzpByU/61DdiNBpx9tlnt3pNWVlZQUTKhTJOoHDGmk/jzMVWZfJp3N0F/Y35SXvsFCicv7FQxgkUzlh7e5z9wafSuIn+BBXJEwRBEARBEASRN1CAQhAEQRAEQRBE3kABCkEQBEEQBEEQeQO3YsWKFb09iJ7CYDBg5MiRMBgMvT2UVimUcQKFM9ZCGWdLCnXc7YH+xr5BofyNhTJOoHDGWijjBAprrOnQuIn+Rp9S8SIIgiAIgiAIorChFC+CIAiCIAiCIPIGClAIgiAIgiAIgsgbKEAhCIIgCIIgCCJvoACFIAiCIAiCIIi8gQIUgiAIgiAIgiDyBgpQCIIgCIIgCILIGyhAIQiCIAiCIAgib6AAhSAIgiAIgiCIvIECFIIgCIIgCIIg8gYKUAiCIAiCIAiCyBsoQCEIgiAIgiAIIm+gAIUgCIIgCIIgiLyBAhSCIAiCIAiCIPIGClAIgiAIgiAIgsgbKEAhCIIgCIIgCCJvoACFIAiCIAiCIIi8oU8FKMlkEocPH0YymeztoRBEq5CtEoUA2SlRKJCtEkTfok8FKFVVVbjwwgtRVVXV20MhiFYhWyUKAbJTolAgWyWIvkWfClAIgiAIgiAIgihsKEAhCIIgCIIgCCJvoACFIAiCIAiCIIi8gQIUgiAIgiAIgiDyBgpQCIIgCIIgCILIGyhAIQiCIAiCIAgib+B7ewBEx5EkEUI4AElIguF4cBYHGIZiToIoJOg5VkOfB0EQBEEBSoEiSSLi3u9R/epaJAM14B1ulE67DXrPYJrMCaJAoOdYDX0eBEEQBEApXgWLEA4okzgAJAM1qH51LYRwoJdHRhBErtBzrIY+D4IgCAKgAKVgkYSkMonLJAM1kIRkL42IIIj2Qs+xGvo8CIIgCIAClIKF4XjwDrfqNd7hBsNR1h5BFAr0HKuhz4MgCIIAKEApWDiLA6XTblMmczlXm7M4enlkBEHkCj3HaujzIAiCIAAqki9YGIaF3jMYA+etIbUbgihQ6DlWQ58HQRAEAVCAUpC0lOHk7cU0gRNEgUHPsTYMw4K3ulq9hqSICYIg+jYUoBQYJMNJEIUPPccdhz47giCIvg958wKDZDgJovCh57jj0GdHEATR96EApcAgGU6CKHzoOe449NkRBEH0fShAKTBIhpMgCh96jjsOfXYEQRB9HwpQCgyS4SSIwoee445Dnx1BEETfh7acCgyS4SSIwoee445Dnx1BEETfhwKUAiQXGU6CIPIbeo47Dn12BEEQfRvaciIIgiAIgiAIIm+gAIUgCIIgCIIgiLyBAhSCIAiCIAiCIPIGClAIgiAIgiAIgsgbKEAhCIIgCIIgCCJvoACFIAiCIAiCIIi8gQIUgiAIgiAIgiDyBgpQCIIgCIIgCILIG6hRIwFJEiGEAzl3ZW7v9QRRyORi7/RM5C+F+N0U4pgJgiC6EgpQ+jmSJCLu/R7Vr65FMlAD3uFG6bTboPcM1pwQ23s9QRQyudg7PRP5SyF+N4U4ZoIgiK6GvF0/RwgHlIkQAJKBGlS/uhZCONAl1xNEIZOLvdMzkb8U4ndTiGMmCILoaugEpUAQRQmBcAyJpAgdz8JhMYBlmU7fVxKSykQokwzUQBKSXXI9QeQ7rT1budg7PRMdp7v8mkwhfjeFOGaCIIiuhgKUAkAUJRysasD9z3wGry8Cj8uE5deMxHFl9k5P5gzHg3e4VRMi73CD4bRNo73XE0Q+09azlYu90zPRMbrTr8kU4ndTiGMmCILoaijFqwAIhGPKJA4AXl8E9z/zGQLhWKvvkyQRyZAPiUANkiEfJEnMuIazOFA67TbwDjcAKPnOnMWhvk84gESgBpIgoHTqslavJ4jeIBd7b3ldIujD5re+htcXwSmDnbhp8okwJgJIBFPvz+X5yOUaIpOO+rVckSQRYFiUTq2AachwlE6twMA5qzBg9gqwZluX/I72jicX+yR7IgiCoBOUgiCRFJVJXMbriyCR1J7ggNwLLRmGhd4zGAPnrdFUjJEkEfH6oxCDPtTs3IhkoAamIcMxYPYKgOVIYYbIC3K1d63rrh2/FHaTHjNGWBHZvR6RQA2q097f2vMBtP0MEdp0xK/lSvr3bDxuKFyjpsK7/cFeKzpvT+E72RNBEASdoBQEOp6Fx2VSveZxmaDjs3997Sm0ZBgWvNUFncMN3upSTYRCOICkr0oJTgAgcqASR19akUpFaHE9QfQGudq71nWR3Q9h7gUDEdn9kOb7W3s+ZHK5hlDTEb+WK+nfs+Wks5XgBOidovP2Fr6TPREE0d/pFa+3Y8cOjB8/HuPGjcNLL72U9boPP/wQF1xwQQ+OLD9xWAxYfs1IZTKXc7UdFkPW97RWaJlrqoF8H1ZnzLgXZ3FCEpKpNJlALRLB+jbvRRDdRa6FxZKQBGdxonRqBQZctRKlUyvAWZzQc5Lq/YaBQ1A8bj6kRCzDrtvz/BDZaY9fa+9nnm4PrNHa60Xn7Sl8b+tvJfsjCKI/0OMpXtXV1Xj44Yexfft26PV6zJgxAyNHjsSJJ56ouq62thbr1q3r6eHlJSzL4LgyOx68cUzOajetFVq2R2Of4XiIiajqXoaBQ1A09iocfeEu5R7uy66Hv3I3in46g/T6iR4n18JihtejaOxVyokg73DDPWExOL1Beb9h4BAU/WwWanY9lvGMAKAeFV1Ern6tI31B0u1BjIZ6veg8V/ts62+lHikEQfQXetyj7d27F+eccw6cTifMZjMuueQS7NmzJ+O65cuXY/HixT09vF6jrV0xlmXgsPBwsY2wJv0QgnUQxew7gNkKLcGw7Uo14CwO8K4yuCcsVu7lHD1NlfKVDNSgZtdjsJ8xlvT6iV6htcLi9GdLSibg37dTOUVxT7wBYjIGhuWU9zvPm6wEJ4D6GaEeFV0LyzJw2YzwuMxw2Yyamy7yZ57+nSWDdRAag1nvm24P/r2vwz1hcauF8t19KpFr4Xtb9kX2RxBEf6HHT1C8Xi/cbrfys8fjwRdffKG65vnnn8ePf/xjnHHGGVnv09DQgIaGBtVrVVVVXTvYHiKXXTFRTCJR/T2qt61vvqa8ArrSwWDZzK8xW6FlsqGuXekODMNCXzQAgtGKAVffB4ii8p6W95BTKUivX01fstV8JZu9A5knHu6JN4Dh9fC+/uvmZ2lqBXTy+xOxVp+R3k4X6i7y1U7ltLyMU62pFeDMtqw1QSp70BlQNGY6ql9b1yunYrkWvreVCkY9UlLkq60SBNF19HiAIklSxmsM07xr9o9//ANvv/02nnvuuVYdzqZNm7Bx48ZuGWNPk21XbOC8NeCtrtQ1Qb8SnCjXbFuPAVffD9ZRonlfudBS9VoHNPYZhgWfttOXDPk07yGnUpBev5q+ZKv5jJa9J0O+jGerZsejKL50ofpZem298rxls2/Zrns7Xai7yFc7ZTg+dWrb8lQr7TvTfF+aPSRDPiU4Ud7f5GMBtOl/u+Tv0LDPjGva8M/UIyVFvtoqQRBdR497tdLSUnz++efKz16vFx6PR/l5z549qKmpQXl5ORKJBLxeL2bNmoXNmzer7jN37lxMnjxZ9VpVVRVmz57dvX9AN5DTrpiofQ1aSfPSQk41aLlb2B6Nfa17yDUopNefSV+y1UIj27PF6owZr8nPW1vPSGefn3ylN+w0l07ynMUBXdHATp0ctOVj8+VUoi3b6wr/3Rcgn0oQfZ8eD1DOO+88PProo6ivr4fJZMLbb7+N++67T/n3JUuWYMmSJQCAw4cPY86cORnBCQDY7XbY7fYeG3d30nJXzDBwCJyjpwFiKi+aszgAVnvnTGI4iKKUc+flrtDYb3kPgAFYFu7xvyC9fg36kvUTcVcAACAASURBVK0WGlo7zqYhw8FZHBhw1UqI0RD8e1+HEPYru9CSxKCWKULkottgNTAIxSTUMkUYIDFgWabP9qjoaTvNtZM8w7Bg9cZOnRy0dfKgZSMAg0Sgpke/47b8M/VISUE+lSD6Pr1ygnLTTTdhzpw5SCQSmDp1Kk4//XQsXLgQS5YswdChQ3t6SL1O+q4YZ3FmqAyVTl0G1l6E0vIKVQ2KZ8qteOnjKlzxMxtcNmPbv6gLySVdgSB6m5Y7zqYhw1E0ehqqttyvUvFibS5lFzoQjuHuJz5VNRH0uEx48MYxcNmMZPtdRLZO8vLnnI7mycHUZWBM1lRRexuL9faciqVs5EocfWF5ryhltWVfZH8EQfQHeiVxdeLEiZg4caLqtSeffDLjumOPPRbvv/9+Tw2r12i5KybL9wJyrvU6FI+bj8ZD36DsqpWQBAExgcGT7x/B25WHcNmoE3L+XSRTSfQnMk77JODoi+rnq2bnRgyct0ax/+7scE40057PmWFY6NzHYsDsFRBCfgiNAdR/tBVFo69E/cevIHKgslPd2VueCMvBCdB9NSkEQRBEdmhFmieoCjqzKGQFP3sTVS/ejQNVEcxe9xnerjzU7s7L7ZGppIZgRD6jZZ+iKMEXjMLra4QvGIUoSsqzxXA8pGQWha5EXPm5OzucE82093MWI2HE636AJAqpn8Mp4RD7GWMBdK47e/q/AVLe1KQQBEH0V/qX9EcBkC1XWoyGAKQmymJr6mvLpaN8S3LuuN2BkxZJEiGEA/06N5roGbLZZy1TpKRnyc/H4FIrpEgDpEQMDK/XfL7ANtup3OG8ZW1Ee54zom3a8zkLgoBksA51e55UCXPUf7gZrNGqXNcVgURXKmWRTyTyHTEZB8vru/xagugsFKDkGdkUsuo/TAkF8A43ipxWPL18XE4d5VuSy+QrSSKSDfXtkt7sbOoYTeREe8h2EuieeS9umnwiNr17CN9878fmt77Gzf9TCm+TxKxpyHB4ym+Fd9sDqhoUJm3SzbXDOdE52tNJXgz54H1NLbNes+sxFF+6UNm8AVoPJHL1MV2llEXptEQhwPJ6/GtVeU7X/ujObd08GoJohgKUPEPOlXZftQrBYCPsZh6+9zYhduRAqjB+6jJEeTMQ71i6VVuTrzypSvFollSYmKIslj7J5tLLJRsdncgpqOl/yLK05mRcW3Y7VAv7B4+iYuJSrN8BTBrhUYITAIgcqAQADLjq3qaaFAkSx4E1WVT3kjucE12Llqxwa59zW/5IVzQQde9uApC9O3v6fXLxMZ1Vykr3S1o+ccDV9wOQyGcRBEG0QocDlEgkgm+//RbDhg3Dpk2b8M033+CGG27AwIEDu3J8BUsu+v7ZYBgWUc6C2zf9GUU2A+ZedCVcw2ciKbGoY+24++GPWpXlzIY8cbJGS2qSZFkwDKOaJOVAo3jcfM2Tlrj3IOreeTZjcu9Mh+OOBDe0O9n3aCvgTJelvWnyibBnSYVMBmoQ2f0Q5l5UgWIrj0gLu4wcqIRw7hU48vydqROUy2+EqDeD7We9JHqabLLCRXYDYgltP9mWP5J4A9zjfwFJ+HnqFEwSkWyoy7Cf9vqYjiplpfsl98QbNH2i0FCr2B75LIIgCG067BVvv/12vPfee/jiiy/w/PPPY+DAgbjrrru6cmwFizwR37LhI/z8/ndwy4aPcLCqAaIo5XwPOT+7PhjD7c98ibtf+hYGRxHufiJTljMQjrV5P3niPPLc7Ti08Zc4+sJyiI0NGYtAOdDw730d7suuT+XnA83NGPe+rlmMKqeOpSOnW7RVbN+R4KY9xf5E/tPSPo88d3tq5zzNVtJlaTe9ewim8Us17RNI2cOPSk1w2M2adik0BpTrat7cACnR9jNEdI6WssJFNgPiDT7wUT+8R6rw2Gt/zfCTrfqj8mXgLQ7wVhd4ezGEkC+r/XRmA6U9pPslMRpq0/bIZxEEQWjT4ROUQ4cO4Te/+Q02bNiAyZMnY/HixSgvzy2Psa/THn3/bGjlZycS7ZM/TT/FcbDRnHYQGV6P0ul3gNUZIUkSSsZfB97hRqL2EOo/3IzYkQPK+yUh2dyDgNdrpo6xZlubJx0dKUrtqQUH0TO0tsPNmp0IRmIwCmGsnH0yfI0CNr17COt3HMXciypw0gAzEvU/qOyTd7gh+Y+ALzkWpVOXobopzatlTZf8u0AKdd1OuqzwKYOdqJg4AJHda1EdqIHd4cZ1E25GdSwOr68RBj0Hh8Wg+IbYkQOo/3AzisfNB2d2gLOXgLW6wHEcgLZPSLqi8D2XlNJ0vyQHVTW7HmvV9rrLZ1EKLEEQhUyHA5REIgEA+OSTT7Bs2TIIgoDGxsYuG1h30ZnUq1zpqj4KLfPgfcEoPC6T6t7n/KQUdiaCmC8IsDrwVgdYloEQDiARi8NbE8FTbx3EsvIT2lzQS5IIIeRTK+VMWAyG16HunWczlY9EAUeaerbwDjdKZ96VkbedS2pFR4pSu1Jph+h9Wgs4j9YGYQxXIbDrISSbFrOpGpOjePj177D+hvNhMTshhP0AmmoRplZA0hsgNQbh++S15oWt1Qn/n99SAhn5epDddDuyrLDXF8HciwYhsltd9B7a+WuwF92Ghav3Kulfgzw2eKYug/e1dYgdOYC6d56FZ+oyVXAiSSLENmrmWLMtq4/JKfDIMaU03S8pQdWlC6EvPhZgOdS+9VSG7XWHz6IUWIIgCp0Oe8azzjoL48ePB8dxOOusszB37lycd955XTm2LidbDnSuNRy5kj4Ry3RFH4WWspzn/KQUN11aCu+LdzYHFOXLwOr1qH75vpRqUdNiTm80aMurgkEiUKNMki2DiZqdG+GZvDRjF7p0agUSIR84ixPJQE0q8Hj5Pgyct6apl0CKXE46OlKU2lVKO0R+kC3gFMAhVF8P4d2HVHYZ2f0QFl9+F4odBnCJBkgsg7KZdwFgwHAc/J/vgXnQKUpgLRfH8w43ymbehcg3f1LZMmd19saf3a9wWAy4c/4IrHp2H1xmDjENv2A1MDhlsBNzLxoEYyKARCiJLZUhDB+bqiey2czwNSbg9NdCZ9ArmyCJ+iNt1szp3Mdm+BgAOS3kc61haemXhLAfvK0YvDPlE4t+OgPV3v90u8/qjGgJQRBEPtDhAOWuu+7C/v37cfLJJ4NlWfz85z/HmDFjunJsXU5XpF7lgpa+/53zR8Bm6px+eMu0LzsTUYIToCmg2LYOxZcuzFjMmWavhmn8UkR2P6RMjp4pt6L2raeULsxls+7RDCZYowWMzoABc1cDyTgkIQn/n95A9OCXSspC7MgBcBYnJCGpBDycxZHzSUd7i1I7q7RD5BdaAadn6jIERQNcFg6hQA0MA4fAed5ksEYrJCEJziaievNycBYnii9ZgISvCqwu9Rw7zr4UEARNexaj4bRUoWJwNhdYlk5QuhuWZeCwGrBg0lDYbDwEDb8QFdmm1K/1iARqkHC4MWH8UqzfcQgAcNvlA5DY9RDqLU44R0+DrmggGE6H8NefZqRTeabcgoY/v9Xq4jwZ8uW0kM81pVTpeH/1/YCYBFgenM2p2bG+O30WpcASBFHodHhWjsfj4HkeNptNUfE66aST8lrFq6tSr9qCZRkM8tiw6rrzUd8QRSAUx+a3vsHsS0/t9GlNetpXzBfUDih0xozXkIzjiT/UY9LYCrjMHGwWA3wfPqfsLCcDNVl3IRO1h9Hwtw9QfOEciNEQhEgQ9rMvAQCIQgLuiYuRbKgDa7TgaHrKV9OuZUdOOnJJu+io0g6Rf7Rc2EkMhx/CHOwsYDHzEIYMh+v8cgiRBjC8LmU/vA4l468DY7RAikczUhMlUdA+lQn5UP3aegDAoMW/o+CkB2FZBk+98SWGnViChVNuhXf7A+oNkziDyM7M07K5F1UAAMK71oOzOFH0s1nwV+6G/Yyx4MwOOM+fDBEMymatgBj2Q2gMwPfJa3AOHw8AsJx0tqZEes6BR44bLZIkIlFzOOuJTK4+S8v/Aci5poRSYAmCKHQ67K1uv/12DBo0CCzL4vnnn8cVV1yBu+66C08//XRXjq9L6a7UKy2CkTjufPyPqt/17yMNHTqtyVo3w+q0u84noqr38w436oIJTB93CtY8tw9eXwRPLDlTCU5k/B+/itKpFahuaogmF3UGv/oYzuHjUfXyStXupGP4/6ivnbBYnfLVtBPZ3l1Dyp/uf2gt7OyXLYVBLIHvvU0ovng+BH9NRifxwOf/h6IxV6J+386M1MSSCYtbLVKmBVvPkO6/DDoWy68ZiXiDD75PtqB43HywRivEaAi+T15F0QVzUaURMLjMqXqTWKAGxePmw1+5G87h41XfbWl5Beo+fiXDr7lGTYV3+4PaAUOOC/lcU0q7IrVK0//NvAtIJnL2iZQCSxBEodPh1d6hQ4dw880344MPPsDkyZNxww03wO/3d+XYuhw59crjMgGAUoPisBi6/Hd11WlNa5LFvNWRktpsKb3pKlO/NnUZnKVuHF9mxwM3jMJLt5+HIltKrcswcIjyu4SwH1URA0rnrMag63+LkgmLIUkSnOdOgigkwFlSefrJQA2ExoASnMiv1ezcCPeERco95Z1IeddQ53CnFHXaCDJIQrj/ofWdh3c9BE5KpBacooianRtV/+6v3I3iC68Gw+tRcvF8lM2+V7E9zuIEbysCozeibPqdGLT4fzFg9gr4K3crTU9pwdb9tPRfS3/zEXQ8i+NLzYgcqET1a+tR//4LAADnyInQ8TxMQ4ar7sE73PA1CgjFJPAON1ijFfYzxirBCdDkI7ath/2Msar3OkZMgNAYgHviDalaI4tT5UvkhXy6v9Syi/SU0kGLf6dsvLSm4iXT3tQqrWch6avK2Se27Hc1aMmTWcdLEASRr/QrFS8t6d7uUPECcj+taUtVLL1uRlU8GhSgtzuh9wxG6dWrlXxnWcWr5YmFiWEhSSLMkWqls3Zq1/FWCLEIAvt2gj97Cta/+R1unTMcLh5gANTsfjxj9zl25ABYnTFrfn/Rz2ah/sPNEML+Du1QU/50/yP7dy4qinHp/24YOKTpVO8+cHI9gqsMnitugsTzkEJ+1Ylf6dRl0HkGNTf1o5qlHkGr7u+eJ/6Ex244G7zDraRrqWpHyivgOHcSGFGEmIiCsXuQiFnQGEvCPeFmiIkGcGaHpr1w5ubAwjBwCDiDCdVNgW26D5OEZE6Na9PJJT2rS+SMNZ6FbP62pU+k02eCIPoKHfZYsopXNBrFWWedhXnz5uW9ihfQXMPhcZnhshm7JTgBcjutyaWho3wSI/cNsH+wHpEXb0L1C3cg7v0eLMvA4CiCweWBwVEEjuOynlgI4YASnADyruMDkJIxOEZdiS37QqgPxlJBlJS5Y12z6zE4z5ucGnsimrUJWc2ux+AcPQ2lUyuApsCoPbTW9JHom2T7zo/6EzCNXwohHFD9u/O8yajZ9ZiywK3b8yQO/24Jjr50D6RQAPUfv6q289fWQWwMtuskj+g82U6SwzCidNptcI6elnES4t22HlKsEUdfvBt1e54EIySx5d1/4I7H/4THP6gD4/4vcFanpr2wZpvyetEFV6N62wOZPmz0NDC8PqfGte0l1xOZ1prXaj0L2fxtS59Ip88EQfQV+pWKV0+Sy2lNLqpiBj2LBxeegUFuI2pfXtG53OYsu9Sszoia7etx8UW3YcKYE+CwGCAEsxTgG63gHW7wTg/cl9+Imjc3ZOxOJgM10DnLULPjUQhhf7t38Ch/uv+h9Z1bLluKtW/+Gz/+URFm//QYldS1vINePG6+ZqpPyfjrYD9jrFLf4N/7Op3A9QLZTpIZNiWKwOq1TwZ0zlIMuGpl6rv7eCtuKb8W4uQhYCUBHMeAsRZnSJ97ptyCwP53lboW3ulW1bj4976O2JED0BcNBCSxW2R4c1EXbOuUQ+tZ4F1lOflEOn0mCKKv0OEAheM41NbW4uOPP8Yvf/lLhEIhsCztSKbTstFiS9qqU5EkEcZQFUzvrgUz8YYOTTxyCpkkirBmUTUSoyEkAzX4r1IjQqwOgXAMtiypCpytGGWzVkASEqh/bxPKpt8JMRqG0BhQ0r94hxuJusNKQ7L2TvxakzxrtlFX5D6M1nceY024b14xWCGOhPffCH/9KYovXQidawAYjlPqEbSeC95RgqqmXkDNDUc7J/NNtB8tyfV7rz0XLAPEvIcghuq1lQP91ajeulrZ+GClJKpfvFutEOgZBPdVq1DvCyGaZFAr6FD849Go2Z5S+ir5n2uVPjjyffyVuwFO16mFfFsKg22lgrXZ9T5LkAOgTbERUu8iCKKv0GGv9cQTT+CPf/wjqqqqMG/ePGzcuBEHDx7EokWLunJ8fZq26lTSJzIxGmrXxCNPonI3eZ5jEdu/OauqUSqo+AEwRtEQ52ApNsIz5RaV+o1nyi0QoiHUbH8QA66+H0LYj5qdv02l2LRYCMhKSYB64s9FPhhQT/KUV90/SP/Ok8kkuNpDqnop2a6EsD+l0DXxBiX1JWOB66vKEHAYOG9Nr/xd/R0dz+K68tNh1PNgWSAWFxCur4Pp3XXgLM5MnzRhMeo/eBFASuxAFBKAKKJk/HXw/eFlxI4cQPWrazHg6vvBSiJCMQlPvfUffPO9HxcPH4T501fAoOcUyXOgOb2rbObdYHgdIIkdWsjn6ota83O5Nq/VCnLa2uSh02eCIPoKHQ5Qdu3ahVdffRVXXnklXC4XXnnlFUyfPp0ClHaQraGjKErwBaOwis0TmX/v6xkTecuJJ31ShCig9p1UnxOTw43SmXfjhwOVEMN+lIy/DryjBAlflbLgk+WEbUN/itDujTgcqIFt5OUZfQVco6fBeNxQiIko3BMWo2bnRtR/uLlpZ7sMAIO6955XTk+A5om/o4EGdUXuX0iSCDFYm1EvVbPrMRSPm4/q19aDd5QADAue4zOksUvLb0XtnidV90wGaiAl4hBFqdvqzohMAuEY7nniT8omzB3zRuCpN/6ClbNPRiyQkiOv/3Bzc1qWww3v6w8hduQADAOHZBTQpwt1CJEgxMYG/FdJMVbPPRX1jSIMUhTBD56D/sKrNYMAhmHAmW0A0KGFfC6+qC0/152nHNTAliCIvkKHPSLP89Drm1Mm7HY7eJ6OkdtDyzoVUZTw1Btf4rO/V8PjMmHD9WcpE1nsyIHmQKD4GLA6g3pXTmNSdF92PcSwH7EjB5D0HQXvcCN25ACqXl4Jw8AhcE+6EUUXXA0xGkr1OjnncqXLtn/v6zAPOgVVm1eoJtKE9z8om3U3qjavTHXwlnO8E1EIkTDq33kGRT+bhYT3PxkTf0cDDcqr7vuogmswEEP+rDVQpiHDIUZCyumeacjwVCAdDUGMhsEYzBDCaslz3uFGUgQOVzV0ulkqkTuJpAiXzZjqHm/WwWU3wmUzIppkoEvzbamg042y6Xcq350shKAVpDb87QNAElGbrjI4YTEYsx3mC69GwlelHQTojZ3q6p6LL2rLz3X3KQc1sCUIoi/Q4YhiwIAB+PDDD8EwDOLxOJ5++mkcc8wxXTm2foFcp+ILRnHLho9UBfMb3vgOS8uXoWZbaidZCPvRyNrwxO//g+unDoMrbTLVmhTTd5zDX3+KAbNXQAj5IQpJsAYjGJZLTYosC/tZF6Nq6ypVcMMYzVl2IVkkm3Y/5Y7cAHDsLzYgduQA/JW7U7KdkFQTf0cDDcqr7tvIwXX9H7bAfsZY6EoGQWgMaH7nAFBy8TU42lSPAACRA5Wo8v5HsXXDwCGZp43lt+KwP47VL/+tQ81SiY5h0LGYc9mp2LBlv3JKfOOMMyHoWDgvW4rwrofUNSKfvql8d9nqizizA8UXXq3UGMmv1+zciAFXrYTQ2AD/x69m2sDUCrBmW0o1q4OnC7n4orb8HJ1yEARBtE2nVLwqKirw7bffYtiwYTjjjDPw4IMPduXY+iTZ+p5oFcx/+lU1gpN+goaxFXCZOfgaBTy64xC++d6PhVeopXuzKnQZrTAMHALb0J/i6EsrUqcelyyAFIvi6Lbm+hL35TequsDX7HoMZdPv1F4kMmyrrxf9dAZ4e1GXFXBSXnXfRggHUP+HLUpncHmHXGuBCV4HIVifdeEKQH3a6CxFwl8NyWTD7175ukPNUomOI4hQghOgaeNly37cu/BcrN1yFHMvqoDHroPdzMP33iZEDlRCiAQxYNYKSIC2v7AWQYw0aNqAEKwHa7ZDCPtVqWNiIgrOVoxEzeFO1bLl4oty8XN0ykEQBNE6HQ5QSktLsWnTJkQiEQiCAKvV2pXj6pPIfU/Sa06WXzMSx5XZsxbMR+MSHn79uzYbPmabFMVoKNVroKmnSfG4+RAaA6jb86R69/HNDcoOtPyamIihtLwC1dvWqyZjRmdQ6k9U6RV6IwbOW5N1N7CjgQbtOBY+rTUklYSkqjO4f+/rKPrZrFSn+HHzwZkdYC1OgGNR9cLdKB43X9PW5R4Y8mkjy+lQ9/6LcIy6Ek/uOYxvvvdrPjtE95EUtJUK9ToO9cEYbn/mSwDAKYOdWHDJDBx7wTyA5cHYnWBi4Yz6IstlS/HEW4excNwATRsQGgPw/en3isCHnDrmnrAYkih0upYtF19EGyoEQRCdp8MBSk1NDbZu3Qq/X53rvXz58k4Pqq/SWt8TrYL5JdPPxOsfHsCNM85UpUi0bPgIaE+KJVMqEJKMsBoYZVJmjalAsrXTFud5k8GZHeDMDgT/sU9ZJHJWJzhHCRiGhWBzofjShWB1RoiJKFibC7zV2WrQ0JlAg3YcCxetwPzea8+F2ahDUhDhYDlVZ/DYkQMIfvUxisfOBsOnJGH9f9wG+7ALlQCm5emKZ+oyMHJHcEkAGBYAA8e4BXj499/h06+qsz47RPeRbePFaGCx6rrzUd8QRSAUx3uVBxHlLLjnpa/hC0bx4I1j4LTaAEnEgNn3QmIY1IUE1IsG/PW7/+BJAAvKK1CTtnmSXkDvGj1V1QOl/oMX4bniV11Sy9aWL6INFYIgiM7T4QDlpptugs1mw49//GMwDBWc5kJrfU/kgvkHloxBNJbEkdoQXtidmqzLLxiCB5aMQVLQbvgIaE+KYcYEMSogIYaV3UYxGgKynLZILNuqag7vcCu7jfqiAeAMZgo0iDZpGZi7bEbUN0QVdadzflKKWycdr9ikYeAQ2H4yOqMmShSSitCDnL7DmR1gbcVgrS5NkQ5OlHD9VCsWXpH92SG6j2x9UGr9Uax6dp/y2rI5w/F/e/+Nb7/3AQAkMVP0wzR+Kf5v31EsmDQUDqsejIVF2YzlECOhjD5MQjigqo/jHW6A5Xqslo38HEEQROfosGeuq6vDiy++2JVj6fO01feEZRkU2Y0QRQkmI4+KOWcriyoASopMIBzLGqSkT4oOALFYIza9dxg/n1KBuu3r4d/7OoovWZCRouW64laIRivqt9yTtdC+ZaEnTcBELqQH5icPdmHJ9DNx71PN0rOfflWNl0osmFleAe+29VnVm0rGX6ecnMSOHEDdO8/CM3UZOFsROI7T/N1tNUslupd0pUJRlFL/SZJKetjri2Dd85VYMGko3q08BI/LBAuiGelYkd0P4YKxFbj9mX0AgNeWn4OaHRsz+jCVTl0G8M2bMCmRhAr4K3e3KdVOEARB5AcdDlAGDhyIxsZGmM3mrhxPn0ZrN1Er5aTlokpOkXlpz9e4cPhx8BSZkEikCn0NBhYWKZL1JIPnGPzs7EH4zVv/xKSxFfhRqQlixA+G16Ns5t1Ak7zrkZgexkRUMwVCV3wMDAOHQAj7c9ptlCVjhUQCIsMhrrPAZqKd6/5Cy3oTnksF5qefWILyC04CAwm/mjEMLr2AIgsDiCKO+pOQbA6UzVgOhuW01eM4Hv7PdqTSuFgWEEUAEqRIAyRKoel10r93nmPBsUAskbIBm0mPQ94g7n/mM9w08yzNk2SbWaf4RBZxTRvw2HW4Y94IOKx6iAw0i+FZiwOcxZ46TU7EAY6HlIzBduq5EGMRlExYDJbjwdlLNMU8uoNcG9QSBEEQKTocoHg8HlxxxRUYMWIEjMbmxTTVoGSnZd+TXFNOAuEYXtrzNSaOPgE7Pv4nJo4+Aauf3YcimwG3XT4AR9KlOqcuQ9w2QAkIBFFS6lc+/aoav1s8DLHNmd+R+aqHURcSYNfqyu2vRtHYq8DaXG3uNmr1Y7FcthRHLWUYUGKjIKWPk15v4rIZMePikzDQbcXaxaMQCMZxzxN7UWQz4M6px8GQCKHm5dQpns7hBlt+K+o+fhX2M8ZqCz4konCNmQ7O5uy0GhPRtWjVGd02dzh2//Hf+OK7Wqy67nzl34KNCc2TZE+RWanHExv9mjZgtpjw1Ka/KKmBN02pQO329c3F8Jddj9r/ewJFF14NJBMqdbj0dMG6d5+DZ8rNPRacdKRBLUEQRH+mw97xmGOOweWXX46ysjI4nU7lP6J15NMRj8sMl82Y04I9kRRx4fDj8MjW/cr/en0RzL1okNJHAGhKhXltHaoOVeFgVQNEUYIgSqqFgK9RUPpJyPAON2w2M97Y54Vp/FLl35XeBB+/ipqdG8HqDJoTqiSJSIZ8SARqkGyoR8OXf0DxuPkYcNVKFI+bj3jldoTq6xEIx1p/b8gHSSIJ2EJGrjdx2Yy4evypeHzbF/jFmvdw8GgD1mxKBdV3zTwZZpNRSTEEmhSVtj0A+xljlSJ4lR1OqUAV40HMUgoh6NdUYxLCgV77u/s7WgIgazdVovyCk5SaI/nftr1/AEumnwmPywQgFZzcOX8EShwmuGypFNcGwQD31GUqGyiZUgGWkXDH9FNwymAnPv2qGg+/5UXp7PswcM4qFI+bj/oPNyNyoBJJXxWqX12rUocDmtMF3ZNuBMD0iL/J1rixNXslv9h9xBNCl16Xr4jJ/8/emUdHUW1t/6nquZOeEtIJXAa/V1G8ChIVUEC4IAhmuiwp0AAAIABJREFUMELCJcyggIAYBJUwKiIIglcMcPUVVERFURnkgrzMDiiIoCiooOhFCUIGkk7SGXqs8/3RdKUrXZXuDp2kG85vLdaia8qpqlO7ap+z97Mdzd0ECuWKaPAMytSpU8PZDko9qBQs2iXpMH3Y7TDEqmqTjbUy2EXCIGJVDJ6+rA6mVMgEo5Xr9+VjwRBPPopv8ulHX17E2NRbUWF3oO3IhXxCvTfxFABwOf+kbriC216NwstF0+SGBJgHPwXrz19C26YDX1RN5Vb41Z8I98giDaNofryVw+vmmaiVcsTpVJiZ3hJVn70F9b2jkZD+GDhbJcoObYX9whleSQ4ACMMiadjTYFgWHCvHmv87h4oaB5643wW30x4WNSZK+JASAKmosiOzb3uUVzp4O/TLOQve2XkKkzM7ISkuBnI5i3i9GuVVdnAcQZnVji+O52N4r78haeRCgONAGAale9eh5sxRKAwJmJk+A8u2e/KX3OnXoeDtuYK/zSrUfH+SqpdSvH0VEofMgiKhNbhqa2gV5UOwNaEWqKUzLo2LUiFD+hPbAm63/V8ZTdCaxoOVK/HfxZkBt/ufuZuboDUUSuiE7KAMGzYM77//PpKTk0XVu7777ruwNIzigeMISitqRyefGd+Nf9FbqsVDsizVbl4drIVBI8h7KbXaUaVOFC3+2K/bdXj85YPYkNsNZdtX+RdiZOWiL8+EtKmCIo+WLz+CqWcWirbUFoI0Z86EPUYvODepkcVQ6hJ4oS/1yMBbObyyxiH4YLVWOzF+QDu4jnlCbgreX+inFOeuKgNkCo+SXJ0aO6PuiYNSG4uiDfMk66A0hhoTJTikBEDKKx3QaRX4+PPfMHdcV165y2K1waRXQxejQIy6Nj9lfEZHnP7jEobdoUXhO3N87MdTkGl0AGoT5sf0m4kVW+1wEv/CsZzTxteBkqoP5SovRunnGxHXaygKN70QtN0I1daEWqA2nHaRQqFQopWQv9zy8vIAADt27MD27dsF//7zn/+EvYHXIhxHYLHaUGSpRkl5jSB0YuOeXzEt2xMesX5fPmJShSFZmpQZWL8vn1cH8817WTOnH8ZndARHgBVbf8Ok1d9j9psn+QJ23nCz9QcuwDz4KcFxEzNnQqYzir48i3eshrH7IL79+tv68M6Jd5uizcsQQ4QjrKGOLNZHQ8IoKOHHWzncO2LuZfOBM2jdQi0ZcmO8Z4jH0dXG+q/fsRqKmhIo4BbUQRH0T6rG1KwYYlSYO66rIGwrZ2iyp76Jw4VhAzqgbaLHDr0xrz9enNYL/6+lAYZYNaw1Dt7G6bQKZHZLQNGW5XXsx3IY73qA/3uu8mLEx8oxLTsZNpkWiUNmCfqD3JSExCGzUPHDp/7hgqlTUHZoKwCPrfI6J97jBrIbodoab42qYPtrOO0ihUKhRCshDzmazWYAwDPPPIPXX39dsO6f//wnPvzww/C07BrDq4DDcQTllXZ+pPGFqT0Fo5K/nLPg7U9OYcmUngADyJUsWo5ZApfTgXNFNVi1/U+UWu0CdTBv3ovFasPr205iWnayX/HHadnJKCn3/J09R/MRG6PAyFGLAM4FsHLIdEawrBxuiZenNzQHgKDonu82dV+woY4s1gd9qUcG3srh3jwDb76UxWoDYeWQS/QNhTERxdtXSxbTYxVqgGFF66A0pRoTRRyWZdA2UY9Fk7rDYrWjvNKB7Qd/x9D+HeB0udDCoIZczopKPvuGh1mrnVAaxQvJgvVRJzQkwGiIgVYeA51WBYbR+hVGBICElEdACPEov3FuOErOC8JWg7VVvoRqa0It3BhOu0ihUCjRSsgWLycnB2fPnkV+fj7S09P55S6XCyxLPxAagq8CzviMjnh920n+he0bu+3FYrVBofB92ash4wgS5HY8MTIBLMtApfC/F16Z4w27TmFIvxsxObMT1Eo5bA4XjDoV3v7kZwBAt1sScX/3/4HFzYBhABYM2CoXDDEyyZcn57Tx/5fFGCVfsK5KC/+SZrU6JA6Z5Rcq0ZCRcPpSb1qkYvC9oT7ePIPH/tkZCSYt5DIGxTV2tNQaRO+Ts+QvuKvK4OAYyf51weKANmUGana+xNdBSczKhUxnpM5JBCCXs0gwavnQ33u7tMMHe09jxMCbodOq/OSndRolrDUOcBzB85N7gIBAq5KDlblE+wAI4f+fOGQWlAYTNPx9ZyCPNfH90lVR4ucIEMKBc9R4QgkvH0cWK22rpGiIrQmlbpR3xiUcdpFCoVCilZC/3mbOnIm//voL8+fPx/z58/nlMpkM7du3D2vjrhV8FXB0WoXAGak7Eu1VvPGGgfnKFLtcTsRyVZCDwFXD4JIjBi2Msfx6b7jXo0M6g+MI4nRqEID/WHh0SGdMzvTM4Mx99Sv+7+UMTcb2g79jxMCb0TZR7//yzMoFq9Wj9aSVcFoKYP3pIMyDnxTkoCQOmeWXTO9NUA12ZLE+6Eu96agvBt+31g8AKOQyPP2aR1p4/IB2gE6PxKyZfOFPPuTm6E4kZOaC0xhgzspF0eWwG037LojvNxqEMHCVOvHpWQ4PDHsGqC73VA//4gPE9c6muUYRglzOwmzSQqWUoYVRgw7XdeZncn1liLvdkojs+zpgyVvfCGZx/3fLSTx4Tzt0yZyJws21fSQxcyZYrR5tpv6vpJ0IlBsimMlwOgC5AiAckoY/A2fpBZQd/AjuqjIkpE2F214taYsa29aEOuNCufZwON1QKsSL01IoVwshOyitW7dG69atsXv3btEkeYqQuqOGYnVP6oY4+M6Y/HLOgu0Hf8fSR3uCXD7e69tO4shPhXxRs3ZJelTZ7NDbivjYba+aVpVNAZ22Nqyivsra3jCwxeu+gUmnxviMjtBpFbA5XHig1/VYdFkZzJDQGi1HLIC7sgzu6nJU/PgFjHcMAHE6oDCYIYsxgLPbkJD+GOT6FmAUSoBhcWFdbtCJn6EqctGXetMhFYOfMHIxatgYaNRyTM7shJYtYrHn67PIm3QblCwHcG6Uff4+3DVWJI14FhzHgWVlcDMMqu8YgTd3/YWp/2wJuUKJ+IETPB98BCh4byFfKyVt8FOw7F+PmjNH+fYUFv1BE4gjCDEbU1phE+TS3dulHe+cAB7Fr7yNx/F4dmf8TV6Oip8OIWnoXICVATI57IpY6AIUBfbtl6pW7WHsPgjEYYOrohRsrAkV1U4QjoO2pgyWLz7wq49iznwKnL0GpZ++C3dVmWSfaoitEbNn3jaLHSOUGRfKtUcwSmTRrkJGoTRYxev2228XOCiEEDAMQ1W8fBArXuZ1KHydFF8FHLEZkxEDb0a8QYPyKjuezPtC8FL3Og0xbisK6iaWblmOpJHPAVq1X7uknCavTOyolJsFbZg1pitMOjWcLg5ctRUXNyzgPwTi/jGc/+0dES8/uhPGLimAXAF5rMmj5x9k3HZDFbnoS71pkIrBL7VU4ukN32JadjI27vkVjw/thGF3aFG08RmB01z9+3dwX05+9y7Xp8xAWYUdSmcVP8uWmDUTJXvXCfr0pS3LEd9/nMBBoblGkY/D6RbMDNedKQY89uyGFjIUv/svuMqLYT3iEV2RGxKQOOp5APU7KN5+6bVJguKMmbl4ZVchMrqaof90GeL7j/MTYyja7Olb3vyU+vpUKLZGyp5BrvCbUaYzgRQKheIhbCpe3t+UWsSKly168wis1XZepctitUGnUWLeQ9342P3tB3/HsxO7Y3nOPZic2Qlxeo8DIVVrwOniAOIW/WhkiLDYlNdpejLvCzy8aC+ezPuCL+oIeJyl7Ptu5J0T799Yuv4bZN93IxRyVvCBauw+SFSVyavWBM5T+8Qbt+2LVNw2VeSKbKTupVfeOm/jcWT2bY8EldNfjWnLcuhu7eVXpLFm50sYP6AdWFLbt6RqWMi0Br+/TXONIhuWZQSqbt6ZYl/MJg0YTtz5BSfuLPgqHnKQeZLnxWzS5heQ0dUMk1bGi3rUJ/YRzj4lZc9clgJq4ygUCkWCkB0Ur4pXWVmZ6L9g2L59O1JSUtC/f39s2LDBb/2+ffuQkZGBBx54AFOmTEF5eXQabTGHwqRT41K5TeAg5BdZ0casw5JHe2LJlB64t0s7vPz+d3hq5UE8+/oR2J2ej3zvTIsvXjlhhhX/aAQrfMlKOU3eKu+GGBVatYgVdYRatYiFIUYl+ECt70XvWe5xfEKR2qSKXJGN2L30ylsD4HOpIPWxSTjR5W3NGoBV8Mf11rDwRW5IAHs5sdn7m+YaRT4qBcvLowPA/qN/YtaYLn6yxE4iE73nHOMfb193sOXFLb8iITNXUpnLW/fJtz6K39+5vDycfUrKnrEKtd8yauMoFArFQ4OHiB577DH+/06nE8XFxbj11luxadOmevcrLCzEihUrsGXLFiiVSmRnZ6Nbt2644YYbAACVlZVYsGABNm/ejMTEROTl5WHVqlWYN29eQ5vabIgVL8u+70Y8v+4b0TAthZzFive/8yt2ppB7/EhfFa57u7SDIVaJOL0aOo0SLGtEokhiqUxnFLRJahbG5nDzSfdqlVy06JpaJQfLMmB8kkTrK4TmOwoZStw2VeSKbHzvpdvpxB+F1Vi1/U+cPucZoDCbNLA5XLC7xRW5wPoX1pMbEqBQKlHhViEmdQaqPnnJU+8kbaogFMzjGLWguUZRhk6rQpzeKVAO1MUosWRKTxRZqmGtduKdnacwJrUDWl2+/957HpM6Aw5FDDQQhqcygGCw5esfC/ESgJmDbxDtX5ZqN9bvy8fM9BmoOLYFCalTBGFgiVm5YGMMaDV2SVj7VCDlQ99l1MZRKBSKhwZbwwMHDgh+f//99wGdEwA4dOgQ7rrrLhiNng/nAQMGYNeuXZg6dSoAj7OzYMECJCYmAgBuuummqA0d81U08uZySM1O2BxuqBQyPDvxbjyz5rAgZ8W3nkkbsw7DB3Tg66T45rXIzW3QctRzAOcGWBnYWE/tEl+kKj7/caECr287iXkPdUMbs86v3XPHdYWM9XwgsKyPs0EIErNyBZWYvapMdUchg43bDpdKTqiJ9pT68c9dMgIcgayqAqXWXwF4+tLssV3RwqgGR9wwZ85E0eZlkMUYYbxnCBRxLQGZwq/PeO+vy2LD8v9cxJh+M2HSynDBzQID5qB1CzVkCgV/D1maaxRRBBIDYVkGrVrEIkajEGxTVmkXDMqs/+Q0Jg2+Fe5+sxCrYlBpJ2C1JsQSoKi0GhypFQmpWyOqQ1sjMrqawQH+NikzF+/sKsTpc2VY87kKj2eMh1zBouXoRYDbDbAsGLkSMq0u7DZCyp5BruAdFzoTSKFQKELCNlzTuXNnPPvsswG3KyoqQkJC7dS62WzGiRMn+N8mkwn9+vUDANhsNqxZswajRo3yO05FRQUqKioEywoKChra/EbBt4q796VMCAI6CC893gt2Jwe1koXdwaGwtBpymUcZx1rj4J0ToHYG5qXpvaCuLPB7CbJ1ki7rOk133ZqIx9Kvh63GhumDbsB7u09h6pDOUMhZwWin081h1YffY8TAmy8n+dc6GyTWyI9oAwzAskhIeaReh6A+5yEcilwNTbRvDKKhrwZCSvDBEKvCxj2necU3a7UTX3yXj953tMH7u09jTMpNaDn6eXDVZSjc5OOomFoiadjTgFwOhlVAHnu5joqCRanVjtlvnuT/ttmkwYvTesEUK64+RwkPDe2nwYqBiKl76bVKzB7blVf0slht4ADUsFo4ORYulgPjcOOZtV8IZM/LrA5BjagObY2Ymd4SNTuX4a/L8tQtRywAWE/tJkajx9QhLTHhQQ4cR1DNMHCCgbq6gJe0DqeNqGvfxOTUAUT0TGAkD/BcDTaVQqHUT4MdlJ9++on/PyEEP/74I2w2Wz171G5bFzG5YqvViilTpqBDhw4YNGiQ3/r169dj9erVIba66an7UuY44jc7kTM0Ge/sPCUI94rTqfFHQYWgTsDssV1h0qlEZ2CUzirRRMy6Upm+TpPL7Ya2uhAlG+fDVV4MvSEBE1NmwO3m+FkcL2aTBuMzOvLt8z2nUNWzgnEerlSRSyoxtTnkaKOlr9aHVO7S4sk9cOSnQhz5qZDfds7Yrnh/92kM7XcjtDXFcFRaUbJrLWQxRn91pbSpYOJbQ8EIwxj9HKHLs4iUxqOh/VSqb9S1E2JYaxwCB9ekV2PFe9/hl3MWAJ6+tOrD7wXHXvnBcYzP6ChQPBzTrw1qdi7jn/eaM0dx0Ud+muMISivsgn61YlIy75wA4bMRoQyORKrqYCQN8IhxNdhUCoVSP2HJQWEYBvHx8ViwYEHA/RITE3Hs2DH+d1FREZ9477vs4Ycfxl133YU5c+aIHmfMmDF+jktBQQFGjBgRwlk0Pb4Ogs3hxh8XKvDOzlP8C9mrymWx2vzqBCx56xssebSn6AwMK6HiJZZ06XWa7OWlKNyyTPCCrtn5EhJGLkaRpQY3tTUhs297mI0qxKlcUMsIpg+6AeSyMldDaQrnIZIS7aOxr9YN2eE4IuoYe9WZvOs6tDXi1lZydEy/DoAD1k+3QNstHa7yYlFp1+Idqz1S2JcRm3UUqx1ECT8N7adeaXLfWbTNB8541AUD4HRxAgd3ztiusFhrB7qk5Ih1WoWgRpQeVvxVz/Mu5kRVVdU0io1oEvvWyLMbkTTAI0Y02lQKhRIaDXZQ5syZw4dihUL37t2xatUqlJaWQqPRYM+ePXjuudoPFLfbjUmTJuH+++/HlClTJI+j1+uh1+sb1PbmxusgWKw2vL7tpGhSvM3uFn0xi83AzHuoG2QKLuTEchbiTg1L3Oh2SyLS77keO778HRN7x8G67SVYLs+yaLNyQfTtgnohEsLBXW0FcTkAjgOjUIIQ0ujOQyQl2kdbXxUL2Zk7riu63ZIomCkxmzTQKFmsnHI7KqzVqHYA8VoOlvfnC/KRIFMgcegcKExJiO8/DmWHtvK1JjyqXkIp7PqKiVIaj4b2U5WCxejUm5G3sbZu0rTsZKgUge1D3Zy4zQfOYFp2Mn8sm8MlOiDjlSn21ojiqu31Pu9i4iAllS7oG8FGhGNwpD4HhONccJdfqi2U+8OniOudHdbZjUga4BEj2mwqhUIJnQZbsxUrVjRov8TEREyfPh2jR4/Ggw8+iLS0NHTq1AkTJkzAyZMnceDAAfz888/YvXs3MjIykJGRgblz5za0mRGNN5zFV2rTG84ilwnrBnjXy3xGmN+Y1x8vTuuFdkn6kGR8vUjVs5ApFJg0uCPU7ipMT2sLLWeFLMYjauAqL0bRpheC0usnhIOj9CKcxfm4+M585L8yBRfemg2uqhya9l38/m44nYeGXA+KB7HR5sXrvsH4jI6Cvrpw4l1QVhag5L15qHl3OhS7n4fKWSnoK2VHd4KRyVCyay3O/28OSvauQ9w/hkPVqj0Az30hMmXznCglLLg58A4FUFsV3h3ERGtdG2ix2hCnV2N5jse+tW9j9LORc8d1xY1tjbztY1km4PMuJtG+7ZsixA+eGXYbEUrNJzG84VUX3pqN/NWTcOGt2XAUnQMhHAjh4CzKx8UNC3Dh7bko2bsOxi4pKP18o59NJoSDq9LiKZJbaQEhwc98X+k5UCgUypXSYGtz44034tVXX8Wdd94Jrba2wu8tt9wScN/09HSkp6cLlq1duxYA0LFjR5w+fbqhzYoq6gtnMenUguTR2hwUtcQIM1NvYrmYyo6Uugyr1SGmKB/V+15Agc9IeOln78F+4Qxc5cVwO52wXpYllgq/cVeVw2UpQMmutcJQgU0voOWIBbhY9EejKdiEI9H+WsK3f9QXzuXbV3VMDS68tdQvZCu+/zgUbloGADDceT+KNguLNRZ/8gri+49Dyd51SMjKhZw6jVGNyy0uXe4KwkOpawNVChZuznNMhZyFTqtCjFqJpY/2hMtNeLEQuVz4HAd63sVym9J6Xo8PjxXgn8MXQSkjYbMRV6pCWF94FQBency7zvs8+c5uXGkOSbiUFCkUCqWhhOygvPzyy3j88cexe/du/PDDD/joo4/4dQzDYP/+/WFt4NWOVDiLXM7iuiS958XMEchZ8RezL1KJ5d6QnU+PnUO/rtfB6XTD6eRg0qlEX+ruqnIUS7wEyw5tRVzfUWAIB7WjHDZOAVWsATKZfyE14naBVajFi/WxskZ3Hq400f5aoW5I17Kp3fHihNsQq2L42hGlVjsUcpbvqy4XB3dVFeL7jwOrjgVnq+RDt7zVuAFAro8Xvf9Kczskjnoecom+Q4kepKTLFfXYKl+8NlAstHDxlB6ornEKZNXnjuuKtol6USdF6nmv6wgxl5e1TWoPTZ1BlivN7wjkLAU6fqDwKrF1Mq1BMLtxpTkkdICHQqE0NyE7KDt27MCwYcNw/fXX45133gEhRFSFi9Jw6s52xF9hknB5lR2fHjuHe5Jb49nXDwtmZMwmNWK1RrAsU/vidNrFX4L6eMTdOwbF/8kTqDA5ndVg41v5vbwYmRyc0yYZG06dh8jAN6SrQ1sjEpkyVO77F+yXc45mPTADtpgkXknL6XSjoLQSCVw5Svauq+0L6Y+BsCxkGh0Ss2ai4odPwciVEsUaZVAZ4prrlClhJFzKa3VDC006Ndwu4iervnjdN1g0qTsSjFqwLFNv/RVfgsltCpd6lZSzFJSCYYD8ObF1slijYHYjHDkkdIAn8uBcDrByT0js9n9lNHNrKJTGJWQHpUePHvjHP/4BALj77rv55V5H5dSpU2Fr3LVIsDUFQsHp4tCv63W8cwLUqoItmHA3SsrtaJsYC9elfBR+tBTx/ceJvwQ1BlzcPN8/pGfgBLjVMX4vM1mMAXJTkmg1cBoqEDn4JhCP6dcGlTuEym5Vn7yEVmOXgGUZcByBxWpHtcWCon3C7Yq3r0L8wAk4//Y8yA0JaDF4Jtyswu/+J6RNBSOneSdXC+FSXqubyJ7Ztz3Kq+yi4WMWqx0sy6Da5gqrrWxs9apgjh8ovMpvXVYuZIYWghkacO6IEQmhhA9WrsR/F2cGte3/zN3cyK2hUBqXkK3Vs88+i2effRYjRozAhg0bGqNN1zT11RQwxKiCHi30RSFn4XSKq4KpFAyqLRa4NTVwWUsgizGi7NBWJKROEdSrSBwyC5yE+harUIuOzDEMC2VcS7jVsZcr3HtUvGioQGThG6Jj0spgFxt5ddrhqrSgitHA6XIjVsWIbscq1Pz/L21ZBpI6H4k6I+IHTgCrUINz2sDqTJBpdU12fpTGJVAV+WCpGyqm0yoExRi9mE0alFc6oNcqG1x/RYrGUK/yDekCxwU8fqDwqkChV+6qclza+5a/Dc/KpQNDFAolamjwcAp1ThoHMTlMb22Uhs6sGGJUcDo5/kXvrW+SFKeGzlEM274XcL5OMnzpZ+8hvv84KM3twChUfG6K2Kgc57RJjswxDEuToCMc3xAdS7VbVHrVUfQnn9TOyhNQYSfQiPUFWyX/21VeDBVcqFYkQJ8UQ2PZr0LCOeNbN1TM5nBh/9E/+WKMJp0a2ffdiJYtYlFaboNCwUrayoYSbnnyuiFdiUPnBHX8+sKrAoVeEbcLNWeOgqsqE+SIsfS5o1AoUQS1VhGGmBym2aQBA4iOFpZX2S+H3dhQZKmGxWoDxxF+X+/opkzGYM5YTy2LUSk34/VtJ1FVZhFNhjd2HwT7hTMo2bsOjEIFeawJDMOKSnkmpE2F3JRER+aiGN8QndZtW8KclSu8x6lTUHZoq6d/bHoBcWwVWrfUw5DxlF9fKDu0lT+u3JCASjsBw3o+qBSGBL4vUa4OpGZ8y6vsDTqeIVaFRZN64PW5/XFDayNGDLwZ2w/+jmnZyZg0uBNe3XwCk5bux8sbv4O1yolutyQK9g8lOV+McMuT1w3pKjv4kcdmNvD4wUgHe50s+4UzKNy0DBfffdpjy2muKIVCiSJoQGqEIZVwyrKMZOFGqRFMAIJ13W5JxIQHO2LOK1/VG87DqmNFX5yC0AOnA2BZMHIlZFod/eiMcliWgSFGhQuXKnHJaYC73yy0S1DBfekcLy8NePoHZ72Eku2rYM6eB5IyFyqGg83FoEbOwV1VBsDz4RWTOgOymLiQk6Up0UN9M76hIGbHpmUnwxynxZSsznC5OMx+5UthDt36b7B4cg+cvVBxRcn5voRbvapuyJj9whmUfvquJ+QVCOn4wSbwU4lgCoVyNUAdlAhDKuG0vMouGovNcUQyDhsQzroc+akQg/u0539LhfPIdHFoOWoR5Po4f2WuetRpfKUzqxgN7I4ri0mnNC3lVXYUlFTh1c0nPB+AD3WE/tN1fv2DEIL4/uOAmkqYYo147v1fcPpcGTq0NWJMv5m4oWUsCCuDQxGDlhp6769mrlRi2IvYTEzexuOYnNkJ17c2AgyCqs0jZmtCzZEJ1sYF41iIhYy5q8oapGIYbAI/lQimUChXA9RiRSBeOUyzScsXZpSqOk+I+Ivb6eLgdPqPbnqTTgFg/b58JNSppJyQOgXF2/IAkKBfaGKVj11F57D87aN4Mu8L/FlQIQg7o0QmThcHtVLO95n1+/KhSZkh6B/mQU+AYRiU7F2HC2/PRdmHCzAzvSU6tDXi9LkyrNj6G2oUemiM8TDEqKlzcpUjZZdCncWQmolRK+W8YyEW+uqtzeNrK33xzsw8mfcFHl60t8H2qL7q7vURzpCxUBL4vU4WDaukUCjRCp1BiRJCnVlRyFm4XJzfuv1H/8SccV3x/LpvcPpcGYrsN6CFV2HJVonSz97jR/iCRWxkr+qTlzCm30zMfvPkFSvrUMJHfaPJCjkLm8PF95nT58qwbDswfsAsXGdWw1X6Fzh7NS7tfFVwr2t2eu71iq32Kw6xoUQX9UkMhzJzITUTY3O4wKDhtVbqU0UMxR41VH44nLMZ4U7gp1AolEiGWrYoQqzQWH0vbovVxivgeNel33M94vRqLJ7cA6UVNlS43dArDLBuf7HB8corSenWAAAgAElEQVRSI3smradC+JUq61DCQyDFJUOMCknxMZiWnYy8jZ4+U2q1Qx5rxGt7/othXXXQKcRlUm9oGctLYdNZk2sLMbsUqrqXIUaFueO6CirGT8tOhkopA8syDa61Eq4cmSuRHw5XwUOaW0KhUK4lqIMS5dT34mZZBtsP/o7xGR2h0yrAEQIGDGx2NwghcLk5vP3JabRLjMW4oQuglAMMK4dMZwQAj0rM5VG/GlYDuaMKLAOwIABI7WigxMiepdoN4MqVdSjhwVptR0l5DaYPux3Waic2HziDRW8ewYrpvWB3cJCxBGalDeYE4H9z7gQ4FwjhQGQcrDUOLNt+EfOH3SQ5iktnyCheQp25YFkG8QY1Hs++HUadx36VlNfgo32/4tEhnfltQu1j4cqRkbJxHGQorbDB5eLAMODtrtcGNyRvRbINDAtFQmu0HLUI4FyAhK32/o1w/m2KsIp7qNs6nG4oFbKA+wW7HYVyLUAdlKsAqRe3IUaFEQNvxqI3j8CkU2N06s14eeN3ghHKx/7ZCTp7MUo/WFA7KjdsPuByCkbqzIOfgvXnLxF7fTIKBcW/ZkKmb+E3sheTOgOr/pMfFmUdypXDcQSXym18ArzZpEHO0GScOluCIosNB4/nY9gdWpR8+RFMPTJBnHZB9fcnsnLx/tFKPPf+L5j1wAxUffJSbWX4zFzIY+koLqWWhsxc6LQqxGrtWLD2cNhUuRoaGlYXsdmL2LQnkF8BLFn/heCZ2n7wd4wYeDPaJsbCdSlfVHULQMjOAyEcnMXn/Y4HuQKF7z8nWKZIaC26bV3FL0rwXEkVd6VChvQntgXcb/u/MhrUNgrlaoQ6KFcxdWdXZv9bKNOZt/E4XnqkM8o3/0sQW+2yFKBk11rBsqIty5E0dC4KPlgsjMPetAzxAydAbkoSxFlXMRo8Nbo1VfGKEMqr7Hj+cvgM4Ln/Kz84jsWTe2Duq19hxcROKPpwAeL7j4O7psL//m96ASNGLEBlr+shk7FIHPU8P4orjzVAJqOjfpRaGjJz0dAwrvoI1zG9uSSJo55HaVklSipdKHfF4uV3j/k9U+MzOmLRm0fwymN3Suat+Oa0BOs8SOXBxA+c4Les5ahFDcqZoVAolEiBOihXOd7ZlSJLteiIpoLxzylgFWrReGuwrOhyVqFG4fvPodXYJVBcVqsxAEBM2E+H0kCkRrQJISiy1EApI3wNHACi95mrLIPepLr8gUPDuSjSNHTmoiFhXIEI1zEZhkU5p8bElQcBAEum9BB9pnRahWc55xTPW3E6GuQ8SOXBsAq13zJwDc+ZoTQt6+f2RVycrrmbEXauJCSOQgGogxLRhKrfXx9SI5pOwvrFVnNOm2i8NThOsFzVqj2M9wyBLMaA+P7jQIhHuvNKYp9p3HT4IYSDgbVhTU4ySipdWL8vH6fPleGuWxNhlNuxJicZDCuDpn0XcLZKQCLe3l1dDpk+XvJv0PtG8SI2c6HTKMNmz5oLXztqrXbirlsTkdHVDJNWBku1G9u+KeKXs6wMrUYvhru6HGWHtsJ+4YzHjkoM9ARyHiTzYJw2jy3uPgisOhac0yb5DFPFr8gjLk7X4NCxSOZKQuIoFIA6KBFLqCo4gRAb0ZyWnQybTOMXWy03JfktMw9+CpVnT8A8+EkUbXkRshgj4vqMFOQpJGblgovRNzj2OdhKyZTgqXtN9YYEzEyfgR0/xSH7zlgUvzvXM4JrSEBi5lOo+OlL6G7ujoS0qYJ7m5D+GMqObEfC324M+DfofaMAwpmLcNuz5sLXjh796SKmDzDj0pZlsF9+th4fPBOf/laJGQMTcfGdebXPT+oUlB3dibje2WDkygY5D6IqXlm5gErjb4uHzaeKXxQKJaqhDkqEEi79fi/eEc3lOb3gcLrBsgxUChY6rQoMo/XT6QcgWGaXaaBlWVi++ADx/cdBkdAWBe89Wycf5QW0HPVcg2OfG1prgCKN2DWt2fkSRoxahILLH1De5YWbl3sUghgGAEHLkc96RnUZFuXf7UFc72zRDxx63yhS+M4Ch9OeNRe+M0NqdxXv4AOefl+yZRkGjHoOF9+ZL1he/MkraDlqEeT6OABokPMgqKnisMFRegGX/u81xPUdxTsn3r9X+P5zaDXuBVpNnkKhRC3UQYlQwqXf7wvLMojTi30MMPyHZN1QHbk+3vNSq7TgwqYXPB+4Z46i5ciF4mEKLom4a7dLVArTlyupNXCtIxUOKHVNIXWtwcFZlO8p3Om0QabRw/LVZrQYMB5yfZzoBw69bxQxfGdNpg+7Pez2rLnwzgw5y60h2UCO41BcZoNCzkLfok3QzkNdmwyGxUWfwSHv8f3a4bBBbkygTkkDoZK//tBcEUpTQh2UCCVc+v2hUF+oTt2PUM5WKZGn4pZcfuHyqKJUCBCtlNww6gufkbqmDjf8lmvadwFXVavgJTckICFtKgxd0wAQyQ8det8oYvjOAlurnU1uzxobqX4vZQP/KKzGk2sP+zyfxoDhbaI2OWsmZDFG/vhStthRch6co4aGWjaQutLAVAKY5pVQmhZqtSIUb6yz2aQBgCapJyIVquOuKudfxl6qfj2GpGFPo9XoxUjMmglN+y6eOOuv/4OE1Cn8tt446Ut73xI9ri/eGGvBvjRuOiBS4YDlVXbIYgxIyMoVXFNNygys239BsFzTvgta3PcQ4HYhvv84qFq194Sm7FjtmUWrx9mg940ihu8s8OYDZ5AzNLlJ7Vk4IISDq9ICZ3mxZwaY1M74iPV7KRsYkzoDr+/+E4Dw+QyEqE3etAzGe4bw25Qd2oqEtKn+7Tj4kaidpVAolGiADnFGKI1REyAQ9YXqyPXxfNy0LMYIXcfeKHh/oU8S/ZOo+HY3Kk8cgLvG6slluFxtnhCCmjNHBceVxRhB3C44y4sFIQ58jDWNmw6a+sIBGYaFQ9cSNf1mIVbFwFLtxqrt+TDqVWBjTGg5ciEI4cDVVOLiu08LknpLP3sP9gtnwDBMvc4GvW8UMXxngX85Z8E7O09hcmYntDbroFLKIl7FK5D4Q91+DzC4tPt11Jw5CuelfMT3HweZ1gBWF4+563/G6XNl/LGDDW+TssnKuFaQGxIgizF6lBRNZrQc9RzclRa4Ky38s+s9BoVCoUQb1EGJUMIpMRzssSVlLBkZistsUMXWFmOsmwRatOVFxPcfB9ufJ2HqNRQynRFctZV/cWvad+GdFFWr9ojrM5I/Rt0XP02sDg2pcEC5jIXb7YbKVY12Zg3sbgZfninFQw/8HdepK1G4fhZc5cVIHDrHrzBj8SevIL7/OJTsXQdGoQrobND7RqlLXeVAi9WGeIMGZpM2rI5JY9nKYMQffPs9IRziemejsOgP2C+cQcnedTBn5aJGrkOpVThbEkx4G8cRcJCJh08q1Wg17gW4rSUo3LRMMFDEKNSI6zsKnK0SFT98GlSoJZUJp1AokQZ1UCKQxpTk5DiCC5cqUVBSBbVSDpvDhaT4GLRqESsqY5mQNhU11gos33QSpVY75o7rijYx4kmZshZtET98ERyqGKAoH0WXk+rlhgQkZs5EKYCaM0dhvGeIv+oMVX1qMDqNEnPHdcXiy5XizSYNZo3pAjCeEeDizbX3IT0zF+VuF78MkC7MKdMaaKgWpcE0xSxwY9rKUMUfGIaFvEUbxA9fhJpqG5RqFSpYLeB0+z2fgcLbvOf13u5fMTFlBmp2viQYzGE0ergqy3nnBLg8K+2w4dLOVwV2l9XWXwSQyoRTKJRIhDooEUi4JYZ9sVbbUVphw6ubTwjqoei0CuhjlGA1sUjKngcwLFzWUpR++i7cVWUY028mZr95EovXfYPVU+8QHdUjMiVWbDmDB7uZof90mdAB2bzME/Y14GGA869eT1WfGgbHEeQXWfHe7tMYn9ERhlgl9DEq7Pn6LLLvaSVwRFzlxbi0+QUkjViI80EIHsj08ZDpTPQjhdJgGqMyvC+NaSsbIv5QUe3Evz/+DUP63Qh7mRt5G79CkaUG3W5JxOLJPcCyjJ+jJjZ7UV7l4M+rrMKOMf1mIj5WjjhjLOSxBpwrrITaWSlom7H7IP+Bn83L0GrsErD1DPxQmfDwI6Z2RZPsKZTQoA5KBNIYEsNe7E4OeRuPC17oeRuPY/ljPf1G0RJSpwDwvLBMWhm/fUEVi5ZZuYIZEnNWLv619QyO/FSIcX1awi4mbQsChSEBrkoLVX0KE74faEd+KsRNbU3Ivu9G9O92HVhSLS4xTDjB9fcm2QoKM6ZOwaXdbyCudzYdSaVELI1pK0ULIwaYUXS6ONzbpR2sVQ5+EAgAjvxUiLMXKvwcJ6nZC6I28/uePleG2W968lfemNcfimqnR7p50A3Q+zzHrDq2QQM/VCY8/FC1KwrlyqFfHRGIN6fAl1AkOTmOwGK1ochSDYvVBo4jgnViL3QNqfEbRSv+5BUYuw+C3JAAS7Wbb0dBqQ3VmkS0GrsEbab+L1qNXYJqTSK+/rEQAGCpdgsUvwChA8Jo9EjIFCpLJWTmgtHog71ElMv4fqDd1NaEUSk349XNJzBl2QHY3YzofXCzCsSmPcGvc1eVgVGqkTRsPlqNXoz4/uNQ+tl7qDlzlKoAURqN+uxUsFyprawP3yR4r50L5Kwr5CwMsUqolfKgHCep2YsY2CTPy/vMHzhZhvjBM/nnmHPa6rW7kudZR6FRar9w3C8KhUIJFuqgRCBXIjHsjV1+Mu8LPLxoL57M+wJ/FlTwLxOlQib64mM48VE0mdaAmNQZWL8vH2aTBjlDk7H/6J9gWE9yqMKQAHmsCQxb+6Gwfl8+NCkzJGVnK6qdeGlXISr6zIRq+Euo6DPT87vaeWUX7hrE9wMts297rPygdnZs/f7zaOHzASM3JCB+8Exs/OICSth4kJS5aDn5FbQauwSMSgOu2ooLb89F4aZlvAIQHUmlNAaB7FSwNLYcuzcJnrdzAWYSDTEqxOnVsDlcQTlOUrMXLNyS5+V95rvc0hIv7y7i7WgBY4Yu/cmQ5b6DkQkP1/2iUCiUYKExNRHIlSSXBorJNsZ6Xugbdp3CvV3awRCrhEmnQmlluUQeQgsQosG4B+JRXunA9oO/Y8TAm/0+AHwVe06fK8Oaz1V4fPgiKGXETxXG6eLw9Y+F/IyLlwkPRl9V6ebG97rrtArBbEqXW1qiiNEgceRiwO2Czc3gjQPnsfdoPr48cRFLH+0JlUEDlvXICLvkKhp6R2kSxOzUhl2n8MigTiBA0DavOeTYA7WnhUEDp9uNadnJfDitlONUX56L1Hl5n/kau8vPjnZoa8TCMYshZ7ig1biCkQlvzFwfCoVCEYN+eUQoDU0uDRSTzbIM2ph1GD6gg1D1afSdiE97ApU7/lWbh5CVC7k+DnGEgUwmQwujBh2u6yz6ASD2oaCR+FCQksWN5qrSzUXd6242aWDSqTEq5WZ+NsU78/XOzlP45ZwFgKdPkMv7A5dHivVxIcfcUygNoa6duqmtCen3XI9Z//4yZDWuxk7EDxW5nMXfWuig1yqx5NGe4DgCpUIGY6y/Pawvz4VhxM/L+8yXlNf42dFSqx02WUzI1yOQTHhj5vpQKBSKGNRBucoI5uPfWuPgnRPA86JZ+vYxPJ7dGUyfmTBpZai0Ezh0SdAwLBjGM1LvrTVQXmWXdFJMOjVfl+BSeY3oiGbd+gjRUlU6khCr/QAA8x7qhpLyGkGoV5HF83t8Rkc8/9Y3AGrrpPhCCy5Smoq6dqpueGK4R+jDVSsl2OOwLANDbOB2N/SZY1kG8QZNk9lROqhEoVCaGuqgXGUE8/EvNRomk8mQ++ZJfh+dxrNPKLUGgtk20sIyogHfDyOVgkVphV1wjeeO64q2iXq0S9JDoxJP0DXEemQvzSYNZgy/A9U2p9+oLi24SGkK6topQ6yy0UboQ7VfUg5IY9Vcaegz15R2lA4qUSiUpoY6KFcZwby0pEbDdFolXpt1L9QqueDDtaxSPP54eU4vxOmFo4TBxipHWlhGJFP3w+iZ8d0EEqZFlhosXvcNFk/uAbNJC5VSJnp/4w1qvDKzL0rKa7Bu+0+wWG00hpzSLNS1Uwwg2mc5joDjyBV9dAdrkwI5IJGYh9FUdpQOKlEolKaGzs9eg4gp3+QM9SR0zn/tEBgGghePw+kWHd10ON1+x6axyuGn7oeRlIRpRZUDJeU14DiCueO6Cu7vnHFdsfydbzFl2QHMf+0wfjlnofeF0qx4P67NJi3iDRq/PpszNBmvbzuJ8iq75DGCkb4N1iZJOSDev3+t2zbf+2XSqalzQqFQGhU6g3KVEUqI1ZJHe6KotBrWaqcggbruC5dlGdHRTbHwCAbAC1N7orzSgc0HzuCXcxYaq3yF1P0wslY7JWbAFHyScd3K1SwDWKw2wXHpfaFECp6cDRXGZ3SETqsQ2KSJg8QdgGBDroLNnwjkgKgULJ4Z3w1qpRzWaic2HzgDi9VGnyEKhUJpBKiDcpURSoiVQs5ixfvfBXxxqxSsn2TmtOxkqBS124l9LOQMTZaUJaYET90PrM0HzmDWmC5Yuv4of61zR3fBG//5UbJyNccRGkNOiWhYlsHr204GnYgdrK0LNn+iPkeG4whKK+x8aKXXBsbp1fQZolAolEaAOihRTt2kTqlK8WJhCMG+uHVaFeL0TkzO7AS1Ug6bw4U4vRo6be12Yh8LKz84jqWP9kS8wX+2hRI8hhgVnp14NwpKqvjrb9SrsGRKT1wqr0F5pQMs43FKfDHp1JdHhauhkLNoY9bRGHJKRCCWjC5mj56deDcIAd+HfftssCFXweZP1GcPxexb3sbjWJ7Tiz5DFAqF0ghQByWK4TiCC5cqBR+uifFadLslUfCxKiYpCwT/4mZZBq1axCJGo5DcTupjwbfWBqXhOF2cYPR23kPdoI9RInf1lwCAxZO7C8JPvvnpIvrc2QazG1BXgkJpTOoLzWpj1mHpoz3hchMo5AxsDjeeWvmFaB8ORfo2mGTy+uyhlH1zua+N/BMKhUJpapoleHb79u1ISUlB//79sWHDBr/1p06dQmZmJgYMGIC5c+fC5XI1QysjH2u1HaUVNry6+QRmv/IVXt18ApYKOyY82FGQbDotOxki/gmA4BMfA23n/VjwheY4hAepUBaOIzCbNLiprQksw/D94PVtJ5HS4//hP1/8LpnwS6E0F1L92VptR36RFbP+/SUmLtmH3NVforTCxjsWdfuwmNjHlYYtStk5at8oFAqlaWnyGZTCwkKsWLECW7ZsgVKpRHZ2Nrp164YbbriB3+app57CokWL0LlzZ8yZMwcffvghhg8f3tRNjXjsTo7PCwFqww6en9ID07KTwTIMrNVOvP3JKcwcfadgXym9f6kCgGWVdjicbijkLAgh4DhAoajdT6dRYvHkHiit8CRim/RqgBAQjqC0wgaXm4NcxkLGetodKMQoXIXVohWbzYWKGgfcbg4yGYunx3fD1OWf4aa2JmT2bQ+dVgGWZbBkSk+43Bzmv3ZIWHhz/VGMz+gomEm7lhSHKJEJxxE4XRyeGnUntCoFHE4Xists2HzgDOxOTjSMyrfAqG8fjtQ6IL62S61kYXdwcLkJ5DIGxlgVqu1OOJyeZTKWgUrJQqcV1lspr7LD6eR4RUWWZcJyboHs6rVudykUSuTQ5A7KoUOHcNddd8FoNAIABgwYgF27dmHq1KkAgL/++gs2mw2dO3cGAAwePBgrV66kDooIkvkmTg6EAG998rOoipZUiEUbsw75RVa/GHCny/PhYNKpMTr1ZkGyvNR+07KT8emxfPS5s41fcv3bn5yCxWq7omKPVzM2mwvnL1ViyVvf8Oc/e2xXvDa7L4otNqz84LjgXkwfdnu9hRm90BFfSnMiJaSx/+ifGJ16s6Q902kV/O+6fTjS6oD4nmOnG1ogpcf/E4hZzBnbFQwLLH7zG4FNjNM70apFLADUKzZyJTYwkF291u0uhUKJLJr8a6WoqAgJCQn8b7PZjMLCQsn1CQkJgvVeKioqcP78ecG/goKCxm18hKFUyETDDi6VexLUM/u2Fx3pkwqxsFhtfssLSqr4ZZl92/vN2Ejtl7fxOAb9w3/7vI2edtUXchSoHkG0EWpfrahx8M4J4Dn/JW99Azkrw8oPjvvdC6/ssC9mkwb6GJUg/GXuuK5UcYgiSWPbVCkhjXu7tEPexuOQXZYz98Vs0sDmcPH/b07luWDCYX3PcdA/2vPOCeA53+ff+gal5TY/m1hQUoXyKnu91+hKbWAguxpNdpe+/ymUq58mn0EhxL+QFsMwQa/3sn79eqxevTq8jYsyjLH+YQfTh92Ot3b8jCJLDa5r5RnxCzah3SUygulbFFCnVQS9X5GlBjIW9Y6ISoUcXW0F0ULtq263+Pm7OU70Xmw+cAY5Q5N558U76rr5wK+CuhKGWBquQZGmsW2q1HPt7cssy4iGUcXpVXhjXv+oCDnyPUcp+6dWykWXee1bfdfoSmxgILsaTXaXvv8plKufJndQEhMTcezYMf53UVERzGazYP2lS5f438XFxYL1XsaMGYNBgwYJlhUUFGDEiBGN0OrIxBt2sPTRnigu88jNvrWjNqxLrZSJhj9Iqd/IRQoy2hwufplUgUCx/cwmDdwcRJdbq538/8VCjkJR54kGQu2rMpn4+fsu970Xv5yz4J2dpzA5sxNam3WQsQxe23oCR34qxL6j+fz+L07r1XgnSYl6GtumSj3X3r7clDkljYXvOUrZP++MUN1lXvtW3zW6EhsYyK5Gk92l738K5eqnyS1P9+7dcfjwYZSWlqKmpgZ79uxBr161H05/+9vfoFKp8O233wIAPv74Y8F6L3q9Hq1btxb8S0pKarLziBRYlkG8QQONSo7Xt53knZP6QiGk1G9MOrXf8qT4GH7Z5gNnMC07Oaj9pmUnY+tn/ttPy07G5gNn6m1jY6jzNCeh9lW9RonZY7sKzn/22K6C5XXvhcVqQ7xBA7NJi3iDBiMG3nzVXD9K09DYNlXsufbmoHj7Z7CqgpGK7zlu/cxTUNX3fOeM7Yo4g9rPJibFxwhqwdR3jcLRNu+xfY8ZTXaXvv8plKufZplBmT59OkaPHg2n04msrCx06tQJEyZMQE5ODjp27IgXX3wR8+bNQ1VVFf7+979j9OjRTd3MqCLUkcf6thdbDgDLc3rxKl4vTO0JjkByP7mMBQjBP/vfBJWcxfKcXgIVr5mj76y3jVfDSOqVoFbL0bpFLJY82hNuN4FMxkCvUUKtluO6yzNmLo4Irm3da3QtXz9KZFL3uWYuL3t0SOerpn/WPUe1kuWfVzlbq+LlXSZjGagUQhWvxrpGgezqtW53KdEB53KAlSsDbxjitpTIo1kKNaanpyM9PV2wbO3atfz/O3TogE2bNjV1s6KaUNVspLaXWh6nD1zkLJxqOk2lzhOpqNVyqNX+j6dcziLBpA24/7V+/SiRybXQL/3OMUa43qCQhbZ/GAl07Gvh/lCiG1auxH8XZwa17f/M3dzIraE0JpEXXEqhUCgUCoVCoVCuWaiDQqFQKBQKhUKhUCIG6qBQKBQKhUKhUCiUiKFZclAaC7fbDQC0YBOlQSQlJUEub5pHgvZVSkOh/ZQSLURiX23dunVTNIcSIufPnw9qu1DvXzDHbcp+SgkehohVRoxSjh07RnXQKQ1m//79Tfbyon2V0lBoP6VEC7SvUqKBpuynlOC5qhwUm82GH3/8EQkJCZDJhEop3iJOGzZsiGi99GhpJxA9bQ22nU05ilJfX/USLdf3SqDnGDqR1k+B6LmP0dJOIHraWl87I62vRss1rQttd+NCZ1Aik6vqjqjVatx55531bpOUlBQVnnK0tBOInrZGUjuD6ateIqndjQU9x8gklH4KRM85Rks7gehpa3O381qwqbTdlGsJmiRPoVAoFAqFQqFQIgbqoFAoFAqFQqFQKJSIgTooFAqFQqFQKBQKJWKQLViwYEFzN6KpUKlU6NatG1QqVXM3pV6ipZ1A9LQ1WtpZl2htdyjQc7w6iJZzjJZ2AtHT1mhpJxBdbfWFtptyrXFVqXhRKBQKhUKhUCiU6IaGeFEoFAqFQqFQKJSIgTooFAqFQqFQKBQKJWK4JhyUvLw8pKSkIDU1FevWrWvu5gTkhRdewKxZs5q7GfUyevRopKamIiMjAxkZGfjhhx+au0mSHDhwAIMHD8bAgQOxaNGi5m6OKNu3b0dKSgr69++PDRs2+K0/deoUMjMzMWDAAMydOxcul6sZWnllBDrH1atXo0+fPnyfEtsm0qmsrERaWhrOnz/vt+5auIeRdI6rV69GamoqUlNTsWzZMtH1kdDfAtnSQ4cOIT09Hffddx9WrFjRLG0EgI8++ohvY0ZGBu644w4sXLhQsE2kXFMguvqqL4HavW/fPmRkZOCBBx7AlClTUF5e3gyt9CdQu7189tln6Nu3bxO2jBK1kKucI0eOkOzsbOJ0OklNTQ3p06cP+f3335u7WZIcOnSIdOvWjeTm5jZ3UyThOI706NGDOJ3O5m5KQM6dO0d69uxJLl68SBwOBxk2bBj57LPPmrtZAgoKCkifPn2IxWIhVVVVJD09nZw5c0awTWpqKjl+/DghhJDZs2eTDRs2NEdTG0ww5/jII4+Q7777rplaeOV8//33JC0tjdxyyy0kPz/fb/21cA8j5Ry/+uorMnToUGK324nD4SCjR48me/bsEWwTCf0tkC2tqakhvXv3JufOnSNOp5M89NBDEWG/fv31V9K/f39SUlIiWB4J15SQ6OqrvgRqt9VqJT169CAFBQWEEEJefvll8txzzzVXc3mCud6EEFJcXEwGDhxI+vTp0wytpEQbV/0MSteuXfH2229DLpejpKQEbrcbWq22uZslSllZGVasWIFJkyY1d1Pq5b///S8YhsGECRPwwAMP4N13323uJkmyd+9epKSkICkpCQqFAitWrMBtt3ANaN8AABLQSURBVN3W3M0ScOjQIdx1110wGo3QarUYMGAAdu3axa//66+/YLPZ0LlzZwDA4MGDBeujgUDnCAA//vgj1q5di/T0dCxcuBB2u72ZWtswPvzwQzzzzDMwm81+666FexhJ55iQkIBZs2ZBqVRCoVDg+uuvx4ULFwTbREJ/C2RLT5w4gXbt2qFNmzaQy+VIT0+PiH6zYMECTJ8+HXFxcYLlkXBNgejqq74EarfT6cSCBQuQmJgIALjppptw8eLF5mouTzD2HQDmzZuHqVOnNkMLKdHIVe+gAIBCocDKlSuRmpqKu+++m3+4I42nn34a06dPh16vb+6m1EtFRQXuvvtu/Pvf/8Zbb72FjRs34quvvmruZony559/wu124+GHH8YDDzyA9957DwaDobmbJaCoqAgJCQn8b7PZjMLCQsn1CQkJgvXRQKBzrKqqws0334zc3Fxs3boVFRUVeOWVV5qjqQ1m8eLFuPPOO0XXXQv3MJLOsX379vzH5x9//IGdO3eid+/e/PpI6W+BbGmga94cHDp0CDabDffff79geaRcUyC6+qovgdptMpnQr18/AIDNZsOaNWv4381JMP307bffxt///veIGyCkRC7XhIMCADk5OTh8+DAuXryIDz/8sLmb48dHH32Eli1b4u67727upgQkOTkZy5Ytg1arRVxcHLKysvD55583d7NEcbvdOHz4MJYvX44PP/wQJ0+exNatW5u7WQKIiNI3wzBBr48GAp1DTEwM1q5di3bt2kEul+Ohhx6K2D7VEK6FexiJ53jmzBk89NBDyM3NxXXXXccvj5T+FsiWRuI13bhxI8aNG+e3PFKuKRCdfRUIvl1WqxUTJkxAhw4dMGjQoKZoWr0Eavevv/6KPXv2YMqUKU3ZLEqUc9U7KL///jtOnToFANBoNLjvvvvwyy+/NHOr/Nm5cye++uorZGRkYOXKlThw4ACef/755m6WKMeOHcPhw4f534QQyOXyZmyRNC1atMDdd9+NuLg4qNVq3HvvvThx4kRzN0tAYmIiLl26xP8uKioShAnVXV9cXCwaRhTJBDrHCxcuYNOmTfzvSO5TDeFauIeRdo7ffvstxo4diyeeeMLvIy5S+lsgWxromjc1DocDR48eFU1yjpRrCkRfX/USzP0uKirC8OHD0aFDByxevLipmyhKoHbv2rULxcXFyMzMxMSJE/lzoFDq46p3UM6fP4958+bB4XDA4XBg//79uOOOO5q7WX6sW7cOO3bswLZt25CTk4O+fftizpw5zd0sUaxWK5YtWwa73Y7Kykps3boV/fv3b+5midKnTx98+eWXqKiogNvtxsGDB3HLLbc0d7MEdO/eHYcPH0ZpaSlqamqwZ88e9OrVi1//t7/9DSqVCt9++y0A4OOPPxasjwYCnaNarcby5cuRn58PQgg2bNgQsX2qIVwL9zCSzvHixYt49NFH8eKLLyI1NdVvfaT0t0C29LbbbsPZs2f5UNUdO3Y0a7/55ZdfcN1114nmcUbKNQWiq6/6EqjdbrcbkyZNwv3334+5c+dGxKwPELjdOTk52L17N7Zt24Y1a9bAbDbjvffea8YWU6KBq2eIUoLevXvjhx9+wIMPPgiZTIb77rtP9IVFCZ4+ffrw15TjOAwfPhzJycnN3SxRbrvtNowfPx7Dhw+H0+lEjx49kJmZ2dzNEpCYmIjp06dj9OjRcDqdyMrKQqdOnTBhwgTk5OSgY8eOePHFFzFv3jxUVVXh73//O0aPHt3czQ6JYM5x4cKFmDx5MpxOJ26//XbRMJJo41q7h5Fyjm+88QbsdjuWLl3KL8vOzsaBAwciqr9J2dKMjAysWbMGiYmJWLp0KR577DHY7Xb07t0bAwcObPJ2esnPz0dSUpJgWSQ+w9HUV0Npd0FBAX7++We43W7s3r0bAHDrrbc2+0xKMNebQgkVhogFD1IoFAqFQqFQKBRKM3DVh3hRKBQKhUKhUCiU6IE6KBQKhUKhUCgUCiVioA4KhUKhUCgUCoVCiRiog0KhUCgUCoVCoVAiBuqgUCgUCoVCoVAolIiBOigUCiVojhw5grS0NL/leXl5+PjjjwEAq1evxr59+wAAJ06cwNNPP92kbaRQpNi1axdGjRoV0j433XQTSktLG6lFFIqHZ555Bn379sWKFSuC2r6wsBDZ2dkAPPLPjz32mN9yCiWaoQ5KIzNr1iy88cYbDdp3y5YteOSRR0La5/z5801ekyQcH6EfffQRNmzYEKYWUZqaadOm4cEHHwTgcWJcLhcA4LfffkNhYWFzNo1CoVAing8++ADvvfcepk+fHtT2iYmJ2LhxIwDgwoULOHv2rN9yCiWaueoLNVIan3B8hH777bdo3759mFpEaUyqq6uRk5ODP//8E3q9HgsXLsRrr72G9u3bQ61W48cff8SyZctgs9mwcuVKWK1WzJ49G0uWLMGBAwfw6quvwul0Qq1WIzc3F8nJyVi1ahW+//57FBUV4aabbkK7du3w119/obi4GH/99Rfi4uKwYsUKJCYmorCwEAsXLsTFixfhdDqRmpqKSZMmweVy4bnnnsN3330HhUKB1q1bY8mSJVCpVKLLY2JimvtSUpqAvLw8bN++HUajEe3atQMAnD17FgsXLkR1dTWKiorQoUMHvPzyy1CpVLj11ltx77334vTp03jxxRf54xQXF2PcuHHIzs7GyJEj0bFjR0ycOBFfffUVioqKMHr0aIwdOxaAZ8Dl/fffB8dxMBqNmD9/Pq6//nocO3YMS5cuBcdxAIBHHnkEAwYMkFxOuTYYPnw4CCGYMGECfvvtNwwYMAC//PILZsyYgSVLliAvL48vdti3b1/k5eXBZDIhPT0dx44dw7x581BYWIiHH34Yzz77LNLT03H8+HGsWrWK2lFK9EIoYcHtdpPnnnuOZGVlkfvvv58MHDiQHDt2jOTm5pLXX3+dEELI999/T7Kyskhqaip58MEHyaFDhwghhBw9epQMGTKEpKWlkUGDBpHPP/+cEELI5s2byaBBg8iECRNIWloaycjIIL/99hshhJCLFy+SRx55hKSlpZHU1FSydu1aQggh+fn5pHPnzgHb+9///peMHDmSpKSkkLS0NPLJJ58QQgj59ddfyciRI0laWhpJT08nW7duJYQQ8vXXX5OhQ4eSJ598kmRkZJD777+fHD58mFy4cIH07t2b3H777WTWrFmEEEL2799PsrKySEZGBhk6dCj57rvvCCGErFy5kuTm5pKHHnqIDBgwgAwbNowUFBSQPXv2kC5dupCePXuSd999N1y3hNIIfP3116RDhw7k22+/JYQQsnHjRpKVlSXo5yNHjiT/93//Rwjx9OGJEycSQgg5e/YsSUtLI6WlpYQQT1/r0aMHqaqqIitXriQDBgwgTqeTEOLpK/feey+xWq2EEEIeeeQRkpeXRwghZNSoUWT//v2EEEJsNhsZNWoU+eSTT8jRo0fJwIEDCcdxhBBCli1bRr799lvJ5ZSrn71795KUlBRitVqJ0+kkEydOJCNHjiRLly4lH3/8MSGEEIfDQdLS0siuXbsIIYTceOONvN3z/v75559JSkoK2bZtm2D5O++8Qwgh5OTJk+TWW28lNpuNHDlyhAwfPpxUV1cTQgg5ePAguf/++wkhhIwePZrs2LGDEELIqVOnyIIFC+pdTrl2uPHGG0lJSQnp06cPWb16Nb+8T58+5MSJE36/fd/1X3/9NUlNTSWECL8BqB2lRDN0BiVM/PDDDygqKsIHH3wAlmWxZs0arF27FkajEQDgdDrx6KOPYtGiRfjHP/6BH3/8EbNnz8bbb7+NnJwcvPrqq7jttttw5swZjBw5Eps2bfr/7d1/TE3/H8Dx5+lqlEvDZjJjyxqVJZWfCS0yVqEfm7SWUhv6MdoN8490LdmYkGGGzYcpNioZleiHOyULYf0g8mtNjG62O0Xdzx+t8+1S9NnX57v4vh7b3Tqve877nNV773Ne7/N+vwO6x5bu37+fSZMmsWvXLk6cOEFaWho6nQ5fX1+ioqL49OkT4eHh2NvbM3369AFdb1JSEiEhIYSHh9Pc3ExERAQLFixgw4YNbNmyBT8/P96+fUtoaKja61hTU8OOHTtwcnLi5MmTZGZmcubMGRITEykoKGD37t00NTWxf/9+Tp8+zahRo3jy5AlRUVEUFhYCcPfuXXJyctBqtaxfv57s7GwSExMpLi7G0dGR8PDwf+GvI36lKVOm4O7uDsCqVatISUlh7NixPz2up6e5p5cZQFEUXr58CYCbmxtDhvynSZo1axZarRYAZ2dnjEYjJpOJqqoqjEYjBw4cALrf6NTV1TF//nw0Gg2hoaHMnz+fpUuX4urqSltbW59x8ee7ffs2S5YsUetRcHAwf/31F8nJyRgMBo4fP05TUxMtLS2YTCb1OE9PT4tyYmNjGTduHAEBARZxX19fAFxcXOjo6MBkMlFSUsKLFy8s5gEYjUZaW1tZtmwZqamp3Lhxg3nz5pGUlATQb1z8f/q2/v03pB0VvytJUH6RGTNmYGdnR1ZWFq9evaKyspLhw4erCUpDQwNWVlYsWrQIgGnTpnH58mVKS0uZOHGimlg4Ojri7u7OnTt3UBQFV1dXNUFwcnKiqKgIk8lEdXU1J0+eBGDEiBEEBQVRVlY2oASltbWVuro6QkNDAbC3t+f69es8ffqU9vZ2/Pz8gO6xrH5+fpSXlzN79mzGjx+Pk5MT0N3QXbp06buyf/YQ2ldjKX4vVlaWU9cURbFILPrT1dXF3LlzycjIUGPNzc2MHTuWoqIibG1tLfYfNmyYxTnMZjNdXV2YzWaysrKwsbEB4MOHDwwdOpThw4eTm5tLdXU1FRUVbNq0SR12019c/Nl66k0PjUYDdHfQdHZ2smzZMhYtWkRzc7PFft/WxdTUVI4ePcqpU6eIjo5W40OHDlXPA6h1dMWKFSQnJwPd9b6lpQU7OztWr16Nj48PBoOB8vJyMjMzycvL6zc+YsSIf+cXIwa1b+tf77rZ0dHxj8qSdlT8rmSS/C9SUlKiTmj39fUlLCzM4nuNRqPexHo0NDSoY457M5vN6iTj3g9+3zYuvXV1danH/ExPmb2v59mzZ3R2dv7wWvpq6L7V8xCam5urfs6fP6/OLxlIGWJwq6+vp7a2Fuie2Onh4aHe5KC7rvfUmd4/z5kzB4PBQGNjIwClpaUEBgbS3t4+4HNrtVrc3Nw4deoUAG1tbYSFhVFcXMzNmzdZu3YtM2bMICEhgZUrV1JXV9dvXPz5vL29uXbtGm1tbXR1dZGbmwvArVu3iIuLY/ny5SiKwoMHD/ps/3q4ubmRnp7OkSNHaGho+OE5vby8uHLlCi0tLQCcO3eOyMhIAFavXk1tbS1BQUHo9Xra2towGo39xoUYPXo0jx49AuD+/fu8e/fuu300Gg1fvnwZcJnSjorfgbxB+UUMBgM+Pj6sWbOG9vZ2jh8/bnHDc3BwQFEUDAYDXl5ePH78mJiYGPLz83n+/Dk1NTW4urry5MkTqqqq2Lp1K/fu3evzXFqtlunTp3P27Fl1iFdOTo56E/wZrVaLi4sLOTk5hIaG0tzcTFhYGDk5OVhbW1NYWKgO8SooKLCYKNqXbx9CDx48SGNjI5MnT6a0tBSdTkdpaemAyxCDm4ODA5mZmbx69YoxY8aQnp7OoUOH1O99fHzYs2cPX758wcPDg4yMDOLi4jh8+DCpqakkJSVhNpsZMmQIR44c+a638Gf27t2LXq8nICCAjo4O/P39CQwMpLOzk7KyMvz9/bG1tcXOzg69Xo+9vX2fcfHnW7hwIfX19QQHBzNy5EimTp3Kx48f2bx5M3FxcdjZ2WFjY8PMmTPVt7z9cXBwYOPGjSQnJ3PhwoV+9/P29iY2Npbo6GgURUGr1ZKZmYmiKOh0OtLS0sjIyMDKyor4+HgmTJjQb1wInU5HSkoK2dnZuLi44OLi8t0+jo6OaDQaQkJCBrxMsbSjYrBTzNKF/Us0Njai0+n4+vUrGo0GT09PCgsLmTNnDlOmTGHdunU8fPiQtLQ0TCYT1tbWbNu2DU9PTyoqKti3bx+fP39GURTi4+Px8/Pj4sWLFBQUcOzYMQCL7devX6srcHR0dBAQEEBcXBxv3rxRV/D4kRcvXrBz507ev3+PoigkJCSwePFi6urq2LVrF0ajkc7OTiIiIggLC6OyshK9Xk9+fj6AxfbLly+JjIzE2dmZw4cPc/XqVY4ePao+hG7fvh1PT08OHTrEx48f1SWJe28XFBSg1+uJiIj4x0srCyGEEEKIP4ckKEIIIYQQQohBQ4Z4/aHy8vL6/QeRAQEBxMTE/I+vSAghhBBCiJ+TNyhCCCGEEEKIQUNW8RJCCCGEEEIMGpKgCCGEEEIIIQYNSVCEEEIIIYQQg4YkKEIIIYQQQohBQxIUIYQQQgghxKDxN7ht7zmW8PNAAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<seaborn.axisgrid.PairGrid at 0x11fb0c470>"
-      ]
-     },
-     "execution_count": 127,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 774.8x720 with 20 Axes>"
+       "<Figure size 813.6x720 with 20 Axes>"
       ]
      },
      "metadata": {},
@@ -689,7 +679,11 @@
     "\n",
     "for_plot = beer_data.copy()\n",
     "\n",
-    "for_plot[\"is_yummy\"] = for_plot[\"is_yummy\"].apply(lambda s: [\":-(\", \":-)\"][s])\n",
+    "def translate_label(value):\n",
+    "    return \"yummy\" if value == 1 else \"not yummy\"\n",
+    "\n",
+    "for_plot[\"is_yummy\"] = for_plot[\"is_yummy\"].apply(translate_label)\n",
+    "\n",
     "sns.pairplot(for_plot, hue=\"is_yummy\", diag_kind=\"hist\");"
    ]
   },
@@ -702,7 +696,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 157,
    "metadata": {},
    "outputs": [
     {
@@ -755,7 +749,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 144,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -771,7 +765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 145,
    "metadata": {},
    "outputs": [
     {
@@ -783,7 +777,7 @@
        "          verbose=0, warm_start=False)"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 145,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -896,12 +890,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now we play with a different ML algorithm, the so called `Support Vector Classifier` (which belongs to a class of algorithms named `SVM`s (`Support Vector Machines`):"
+    "Now we play with a different ML algorithm, the so called `Support Vector Classifier` (which belongs to a class of algorithms named `SVM`s (`Support Vector Machines`).\n",
+    "\n",
+    "**we will discuss available ML algorithms in a following script**\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 154,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -922,7 +918,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 155,
    "metadata": {},
    "outputs": [
     {
diff --git a/02_classification.ipynb b/02_classification.ipynb
new file mode 100644
index 0000000..4017488
--- /dev/null
+++ b/02_classification.ipynb
@@ -0,0 +1,1491 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Chapter 2: Classification"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we learnd *classification* belongs to the field of *supervised learning* where we want to predict a category. Such categories can be \n",
+    "\n",
+    "- ok/not ok\n",
+    "- good / bad / dont't know\n",
+    "- digit 0 ... / digit 9\n",
+    "- etc \n",
+    "\n",
+    "This chapter now introduces core concepts of classification."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Examples below only discuss the two classes case !?\n",
+    "\n",
+    "The following examples in this script will only consider two class problems. \n",
+    "Before we dig deeper into classification, we want to say a few words on how can we handle more than two classes. \n",
+    "\n",
+    "The general idea for `n > 2` classes is to build multiple 2-class classifiers and determine a winner:\n",
+    "\n",
+    "- the **one-vs-all** approach builds `n` classifiers for \"label n vs. the rest\". \n",
+    "\n",
+    "\n",
+    "- the **one-vs-one** approach builds  classifiers for `label i vs label j` (in total `n x (n - 1) / 2` classifiers).\n",
+    "\n",
+    "For new incoming data then the `n` resp. `n x n` classifiers are applied and the overall winner class is the final result.\n",
+    "\n",
+    "For the digit classificaton example:\n",
+    "\n",
+    "- we could build 10 classifiers `is it 0 or one of the others`, `is it 1 one or one of the others`, etc.\n",
+    "  \n",
+    "  A new image then would hopefully yield `True` for exactly one of the classifier, in other situations the result is unclear.\n",
+    "   \n",
+    "   \n",
+    "- we could build 45 classifiers `is it 0 or 1`, `is it 0 or 2`, etc.\n",
+    "\n",
+    "  For a new image we could choose the final outcome based on which of the classifiers \"wins\" most often.\n",
+    "\n",
+    "\n",
+    "#### Note:\n",
+    "In `scikit-learn` many classifiers support such multi-class problems out of the box and also offers functionalities to implement `one-vs-all` or `one-vs-one` for specific cases. See https://scikit-learn.org/stable/modules/multiclass.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How could we  build  a simple classifier  ?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Geometrical interpretation of feature vectors\n",
+    "\n",
+    "If you take the values of a input-feature vector you can imagine this as a point in a d-dimensional space.\n",
+    "\n",
+    "\n",
+    "E.g. if a data set consists of  feature vectors of length 2, you can interpret the first feature value as a x-coordinate and the second value as a y-coordinate.\n",
+    "\n",
+    "Labeled features then group such points to different point clouds.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Example\n",
+    "\n",
+    "For sake of simplicity we restrict our beer data set to two features: `alcohol_content` and `bitterness`.\n",
+    "\n",
+    "The following plot shows how these reduced feature vectors can be interpreted as point clouds. For every feature vector we color points in green or red to indicate the according classes:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# read some data\n",
+    "beer_data = pd.read_csv(\"beers.csv\")\n",
+    "\n",
+    "xv = beer_data[\"alcohol_content\"]\n",
+    "yv = beer_data[\"bitterness\"]\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
+    "\n",
+    "plt.scatter(xv, yv, color=colors, marker='.');\n",
+    "plt.xlabel(\"alcohol_content\")\n",
+    "plt.ylabel(\"bitterness\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "is tells us that the two features lack information for a 100% separation of classes. \n",
+    "2. We could draw a line to separate most points of both clouds.\n",
+    "3. Later we could use this line to make a guess for classifying a new feature vector.\n",
+    "\n",
+    "Eventually **classification is about finding a procedure to separate two or more point clouds.**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can see why more features can support classification. We add the `darkness` feature as third dimension.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 319,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1440x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "\n",
+    "fig = plt.figure(figsize=(20, 7))\n",
+    "\n",
+    "xv = beer_data[\"alcohol_content\"]\n",
+    "yv = beer_data[\"darkness\"]\n",
+    "zv = beer_data[\"bitterness\"]\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
+    "\n",
+    "def plot(ax):\n",
+    "    ax.scatter(xv, yv, zv, c=colors, marker='.') \n",
+    "\n",
+    "    ax.set_xlabel('alcohol_content')\n",
+    "    ax.set_ylabel('darkness')\n",
+    "    ax.set_zlabel('bitterness');\n",
+    "\n",
+    "ax = fig.add_subplot(121, projection='3d')\n",
+    "\n",
+    "plot(ax)\n",
+    "ax.view_init(5, 275)\n",
+    "\n",
+    "ax = fig.add_subplot(122, projection='3d')\n",
+    "plot(ax)\n",
+    "ax.view_init(5, 5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first view is very similar to the scatter plot before as we don't see the effects of the third feature.\n",
+    "\n",
+    "The second view shows the same cube rotated by 90Ëš to the left. We see that the new dimenission adds extra information which could improve separation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If we look at the beer example, we can assume that the person who rated beers has preferences like, \"I don't like high alcohol content\", \"I like fruity beer\", etc."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This means we could construct a score where high numbers relate to \"favorable beer\". One simple way to implement such a score is to use a weighted sum like\n",
+    "\n",
+    "\n",
+    "     score = -0.1 * alcohol_content + 4 * bitterness + 0.8 * darkness + 1.8 * fruitiness \n",
+    "\n",
+    "Positive weights contribute to a heigher score and negative weights to a lower.\n",
+    "\n",
+    "The actual weights here are guessed and serve as an example.\n",
+    "\n",
+    "The size of the numbers also reflects the numerical ranges of the features: alcohol content is in the range 3 to 5.9, where as bitterness is between 0 and 1.08:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 359,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>alcohol_content</th>\n",
+       "      <th>bitterness</th>\n",
+       "      <th>darkness</th>\n",
+       "      <th>fruitiness</th>\n",
+       "      <th>is_yummy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>4.711873</td>\n",
+       "      <td>0.463945</td>\n",
+       "      <td>2.574963</td>\n",
+       "      <td>0.223111</td>\n",
+       "      <td>0.528889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.437040</td>\n",
+       "      <td>0.227366</td>\n",
+       "      <td>1.725916</td>\n",
+       "      <td>0.117272</td>\n",
+       "      <td>0.500278</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>3.073993</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>4.429183</td>\n",
+       "      <td>0.281291</td>\n",
+       "      <td>1.197640</td>\n",
+       "      <td>0.135783</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>4.740846</td>\n",
+       "      <td>0.488249</td>\n",
+       "      <td>2.026548</td>\n",
+       "      <td>0.242396</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>5.005170</td>\n",
+       "      <td>0.631056</td>\n",
+       "      <td>4.043995</td>\n",
+       "      <td>0.311874</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>5.955272</td>\n",
+       "      <td>1.080170</td>\n",
+       "      <td>7.221285</td>\n",
+       "      <td>0.535315</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       alcohol_content  bitterness    darkness  fruitiness    is_yummy\n",
+       "count       225.000000  225.000000  225.000000  225.000000  225.000000\n",
+       "mean          4.711873    0.463945    2.574963    0.223111    0.528889\n",
+       "std           0.437040    0.227366    1.725916    0.117272    0.500278\n",
+       "min           3.073993    0.000000    0.000000    0.000000    0.000000\n",
+       "25%           4.429183    0.281291    1.197640    0.135783    0.000000\n",
+       "50%           4.740846    0.488249    2.026548    0.242396    1.000000\n",
+       "75%           5.005170    0.631056    4.043995    0.311874    1.000000\n",
+       "max           5.955272    1.080170    7.221285    0.535315    1.000000"
+      ]
+     },
+     "execution_count": 359,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "beer_data.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 362,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scores =( -0.1 * beer_data[\"alcohol_content\"] + 3 * beer_data[\"bitterness\"] \n",
+    "          + 0.8 * beer_data[\"darkness\"] + 1.8 * beer_data[\"fruitiness\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can plot the histogram of the scores by classes:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 363,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAADgJJREFUeJzt3W+MpeVdxvHvVRbSQrHU7IjIMi4xzSYNMUIm1YrBCVuarSXQF30BCaRUzPjCImgTAjWG8Z2JpraJRrMBCqa4qPyJTdNUSMsEm1Asu4D8WfpH3MIidCHEUNQEsT9fzCFupzNz5pznmTlnbr6fZLLnPOeZc19MyLX33ud57klVIUna/t4x6QCSpH5Y6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RG7NjKwXbu3Fm7d+/eyiElads7ePDgK1U1M+y8LS303bt388gjj2zlkJK07SX5/kbOc8lFkhphoUtSIyx0SWqEhS5JjbDQJakRQws9ya1JjiV5cpXXPp2kkuzcnHiSpI3ayAz9NmDfyoNJzgI+DDzXcyZJ0hiGFnpVPQi8uspLfwZcD/g77CRpCoy1hp7kUuCFqnq85zySpDGNfKdokpOBz7C83LKR8xeABYDZ2dlRh5PWtbi0uP7r8+u/LrVknBn6LwBnA48nOQLsAg4l+dnVTq6q/VU1V1VzMzNDtyKQJI1p5Bl6VT0B/MxbzwelPldVr/SYS5I0oo1ctngAeAjYk+Rokqs3P5YkaVRDZ+hVdfmQ13f3lkaSNDbvFJWkRljoktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUiJE359I2tbjYzzmSppYzdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGmGhS1IjLHRJaoSFLkmNGFroSW5NcizJk8cd+5MkzyT5lyT3Jjltc2NKkobZyAz9NmDfimP3A+dU1S8C3wFu7DmXJGlEQwu9qh4EXl1x7L6qenPw9JvArk3IJkkaQR+7Lf4m8LdrvZhkAVgAmJ2d7WE4aX3zty39/5OlxbVPdHdJNabTh6JJ/gB4E7hjrXOqan9VzVXV3MzMTJfhJEnrGHuGnuQq4GJgb1VVb4kkSWMZq9CT7AOuB369qv6r30iSpHFs5LLFA8BDwJ4kR5NcDfw5cCpwf5LHkvzVJueUJA0xdIZeVZevcviWTcgiSerAO0UlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRfWyfq7ebjW476/a00pZyhi5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpEUMLPcmtSY4lefK4Yz+d5P4k3x38+d7NjSlJGmYjM/TbgH0rjt0AfK2q3gd8bfBckjRBQwu9qh4EXl1x+FLg9sHj24GP9ZxLkjSicdfQT6+qFwePXwJO7ymPJGlMnbfPrapKUmu9nmQBWACYnZ3tOpw0kqUjS2u/trTI4vzilmWRNtu4M/QfJDkDYPDnsbVOrKr9VTVXVXMzMzNjDidJGmbcQv8S8InB408A/9BPHEnSuDZy2eIB4CFgT5KjSa4G/hi4KMl3gQ8NnkuSJmjoGnpVXb7GS3t7ziJJ6sA7RSWpERa6JDXCQpekRljoktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1ovP2udKaFhf7PU/SupyhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWpEp0JP8ntJnkryZJIDSd7ZVzBJ0mjGLvQkZwK/C8xV1TnACcBlfQWTJI2m65LLDuBdSXYAJwP/3j2SJGkcY++2WFUvJPlT4Dngv4H7quq+leclWQAWAGZnZ8cdTlthCnc9XFxanOrxF+fXf30rbIeM2hpdllzeC1wKnA38HHBKkitWnldV+6tqrqrmZmZmxk8qSVpXlyWXDwH/VlUvV9X/APcAv9pPLEnSqLoU+nPAryQ5OUmAvcDhfmJJkkY1dqFX1cPAXcAh4InBe+3vKZckaUSdfgVdVd0E3NRTFklSB94pKkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5Jjeh0p6jUi3W27Z0/srS5Q094e16pT87QJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDWiU6EnOS3JXUmeSXI4yQf7CiZJGk3XvVw+D3y1qj6e5CTg5B4ySZLGMHahJ3kPcAFwFUBVvQG80U8sSdKouiy5nA28DHwhyaNJbk5ySk+5JEkj6rLksgM4D7imqh5O8nngBuAPjz8pyQKwADA7O9thuLeZdbaUHeu8KbW0ydvjbraNbL+7OL/+OcPeY9j3Dx1/k99f06PLDP0ocLSqHh48v4vlgv8xVbW/quaqam5mZqbDcJKk9Yxd6FX1EvB8kj2DQ3uBp3tJJUkaWderXK4B7hhc4fIs8MnukSRJ4+hU6FX1GDDXUxZJUgfeKSpJjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpEV33ctm+WtmedsrzbfftcafBRrboneT4br87PZyhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWpE50JPckKSR5N8uY9AkqTx9DFDvxY43MP7SJI66FToSXYBHwVu7ieOJGlcXWfonwOuB37UQxZJUgdjb5+b5GLgWFUdTDK/znkLwALA7OzsuMNNTt/b7E75drej2s7b487ftrSh85aumu80zqS3v9XbR5cZ+vnAJUmOAHcCFyb54sqTqmp/Vc1V1dzMzEyH4SRJ6xm70KvqxqraVVW7gcuAr1fVFb0lkySNxOvQJakRvfwKuqpaApb6eC9J0nicoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiN6uVNU0sZt1S6PW2Uju0kuzg8/Zzublp+BM3RJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRYxd6krOSPJDk6SRPJbm2z2CSpNF02ZzrTeDTVXUoyanAwST3V9XTPWWTJI1g7Bl6Vb1YVYcGj38IHAbO7CuYJGk0vWyfm2Q3cC7w8CqvLQALALOzs+MPsrjY73l9m9S4Ukcb2fp10mNs9tazw/Jtl+1/O38omuTdwN3AdVX12srXq2p/Vc1V1dzMzEzX4SRJa+hU6ElOZLnM76iqe/qJJEkaR5erXALcAhyuqs/2F0mSNI4uM/TzgSuBC5M8Nvj6jZ5ySZJGNPaHolX1DSA9ZpEkdeCdopLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1Ihets+dKm5jq0bM37bU23stXTXf23uNYqP/DcPybcUWvy1whi5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpEZ0KPcm+JN9O8r0kN/QVSpI0urELPckJwF8AHwHeD1ye5P19BZMkjabLDP0DwPeq6tmqegO4E7i0n1iSpFF1KfQzgeePe350cEySNAGpqvG+Mfk4sK+qfmvw/Ergl6vqUyvOWwAWBk/3AN8ecaidwCtjhdxa5uyXOftlzn5tdc6fr6qZYSd12Q/9BeCs457vGhz7MVW1H9g/7iBJHqmquXG/f6uYs1/m7Jc5+zWtObssuXwLeF+Ss5OcBFwGfKmfWJKkUY09Q6+qN5N8CvhH4ATg1qp6qrdkkqSRdPoVdFX1FeArPWVZy9jLNVvMnP0yZ7/M2a+pzDn2h6KSpOnirf+S1IipLfTtsq1AkluTHEvy5KSzrCXJWUkeSPJ0kqeSXDvpTKtJ8s4k/5zk8UHOP5p0pvUkOSHJo0m+POks60lyJMkTSR5L8sik86wlyWlJ7kryTJLDST446UwrJdkz+Dm+9fVakusmnestU7nkMthW4DvARSzfsPQt4PKqenqiwVaR5ALgdeCvq+qcSedZTZIzgDOq6lCSU4GDwMem7eeZJMApVfV6khOBbwDXVtU3JxxtVUl+H5gDfqqqLp50nrUkOQLMVdVUX9+d5Hbgn6rq5sGVcydX1X9MOtdaBj31Asv333x/0nlgemfo22Zbgap6EHh10jnWU1UvVtWhweMfAoeZwrt6a9nrg6cnDr6mb8YBJNkFfBS4edJZWpDkPcAFwC0AVfXGNJf5wF7gX6elzGF6C91tBTZJkt3AucDDk02yusEyxmPAMeD+qprKnMDngOuBH006yAYUcF+Sg4M7t6fR2cDLwBcGy1g3Jzll0qGGuAw4MOkQx5vWQtcmSPJu4G7guqp6bdJ5VlNV/1tVv8TynccfSDJ1y1hJLgaOVdXBSWfZoF+rqvNY3hn1dwbLhNNmB3Ae8JdVdS7wn8A0f3Z2EnAJ8PeTznK8aS30DW0roI0brEnfDdxRVfdMOs8wg39uPwDsm3SWVZwPXDJYm74TuDDJFycbaW1V9cLgz2PAvSwvaU6bo8DR4/5FdhfLBT+tPgIcqqofTDrI8aa10N1WoEeDDxtvAQ5X1WcnnWctSWaSnDZ4/C6WPxR/ZrKpflJV3VhVu6pqN8v/b369qq6YcKxVJTll8EE4gyWMDwNTd0VWVb0EPJ9kz+DQXmCqPrRf4XKmbLkFOt4pulm207YCSQ4A88DOJEeBm6rqlsmm+gnnA1cCTwzWpwE+M7jTd5qcAdw+uHrgHcDfVdVUXxK4DZwO3Lv8dzo7gL+pqq9ONtKargHuGEzingU+OeE8qxr8xXgR8NuTzrLSVF62KEka3bQuuUiSRmShS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUiP8DFPVjkb7Nro0AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "scores_good = scores[beer_data[\"is_yummy\"] == 1]\n",
+    "scores_bad = scores[beer_data[\"is_yummy\"] == 0]\n",
+    "\n",
+    "plt.hist(scores_good,  bins=25, color=\"green\", alpha=.5) \n",
+    "plt.hist(scores_bad, bins=25, color=\"red\", alpha=.5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Consequence: A simple classifier could use these scores and use a threshold around 3.5 to assign a class label."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**This is how so called linear classifiers work. The magic is in computing the weights and the final threshold to guarantee good results.**\n",
+    "\n",
+    "*Comment*: although this seems to be a simple concept, linear classifiers can work very well, especially for higher resp. very high dimensions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Geometrical interpretation of feature vectors\n",
+    "\n",
+    "If you take the values of a input-feature vector you can imagine this as a point in a d-dimensional space.\n",
+    "\n",
+    "\n",
+    "E.g. if a data set consists of  feature vectors of length 2, you can interpret the first feature value as a x-coordinate and the second value as a y-coordinate.\n",
+    "\n",
+    "Labeled features then group such points to different point clouds.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Example\n",
+    "\n",
+    "For sake of simplicity we restrict our beer data set to two features: `alcohol_content` and `bitterness`.\n",
+    "\n",
+    "The following plot shows how these reduced feature vectors can be interpreted as point clouds. For every feature vector we color points in green or red to indicate the according classes:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 364,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# read some data\n",
+    "beer_data = pd.read_csv(\"beers.csv\")\n",
+    "\n",
+    "xv = beer_data[\"alcohol_content\"]\n",
+    "yv = beer_data[\"bitterness\"]\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
+    "\n",
+    "plt.scatter(xv, yv, color=colors, marker='.');\n",
+    "plt.xlabel(\"alcohol_content\")\n",
+    "plt.ylabel(\"bitterness\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "What do we see here ?\n",
+    "\n",
+    "1. Both point clouds overlap, this tells us that the two features lack information for a 100% separation of classes. \n",
+    "2. We could draw a line to separate most points of both clouds.\n",
+    "3. Later we could use this line to make a guess for classifying a new feature vector.\n",
+    "\n",
+    "Eventually **classification is about finding a procedure to separate point clouds in an n-dimesional space.**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next we illustrate how more features can support classification. We add the `darkness` feature as third dimension.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 322,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1440x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "\n",
+    "fig = plt.figure(figsize=(20, 7))\n",
+    "\n",
+    "xv = beer_data[\"alcohol_content\"]\n",
+    "yv = beer_data[\"darkness\"]\n",
+    "zv = beer_data[\"bitterness\"]\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
+    "\n",
+    "def plot(ax):\n",
+    "    ax.scatter(xv, yv, zv, c=colors, marker='.') \n",
+    "\n",
+    "    ax.set_xlabel('alcohol_content')\n",
+    "    ax.set_ylabel('darkness')\n",
+    "    ax.set_zlabel('bitterness');\n",
+    "\n",
+    "ax = fig.add_subplot(121, projection='3d')\n",
+    "\n",
+    "plot(ax)\n",
+    "ax.view_init(3, 273)\n",
+    "\n",
+    "ax = fig.add_subplot(122, projection='3d')\n",
+    "plot(ax)\n",
+    "ax.view_init(3, 3);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first view is very similar to the scatter plot before as we don't see the effects of the third feature. \n",
+    "\n",
+    "The second view shows the same cube rotated by 90Ëš to the left. We see that the new dimenission adds extra information which could improve separation. So tiling the plane which separates in the first view could improve separation.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Decision surfaces\n",
+    "\n",
+    "For a weighted sum for two features `x` and `y` the equation\n",
+    "\n",
+    "\n",
+    "     weight_x * x + weight_y * y = threshold\n",
+    "     \n",
+    "\n",
+    "defines a line in 2d space. Points fulfilling\n",
+    "\n",
+    "     weight_x * x + weight_y * y < threshold\n",
+    "      \n",
+    "      \n",
+    "vs\n",
+    "\n",
+    "     weight_x * x + weight_y * y > threshold\n",
+    "      \n",
+    "\n",
+    "are located on different sides of this line. Such a classifier thus determines a line which separates the feature space into two parts according to the two classes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Lets visualize this! \n",
+    "\n",
+    "We \n",
+    "\n",
+    "- create random points in 2D,\n",
+    "- compute scores for given weights\n",
+    "- split points according to their score compared to the threshold \n",
+    "- plot them in different colors.\n",
+    "\n",
+    "Additionally we did some math and computed the decision line:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 283,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "wx = -.5\n",
+    "wy = 1.2\n",
+    "threshold = 0.2\n",
+    "\n",
+    "weights = np.array((wx, wy))\n",
+    "points_2d = np.random.random((200, 2))\n",
+    "scores = points_2d @ weights   # matrix - vector product\n",
+    "\n",
+    "above_points = points_2d[scores > threshold]\n",
+    "below_points = points_2d[scores < threshold]\n",
+    "\n",
+    "plt.scatter(above_points[:, 0], above_points[:, 1], c=\"g\", marker=\".\", label=\"above\")\n",
+    "plt.scatter(below_points[:, 0], below_points[:, 1], c=\"r\", marker=\".\", label=\"below\")\n",
+    "\n",
+    "# plot decision line\n",
+    "x = np.linspace(-.01, 1.01, 2)\n",
+    "y = threshold / weights[1] - weights[0] / weights[1] * x\n",
+    "plt.plot(x, y, 'k:')\n",
+    "plt.legend();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Higher dimensions**: For 3D features a linear classifiers separates classes by a plane, and for higher dimensions `n` we get `n-1` dimensional planes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Example\n",
+    "\n",
+    "In the beer example, features fulfilling\n",
+    "\n",
+    "    -0.1 * alcohol_content + 4 * bitterness + 0.8 * darkness + 1.9 * fruitiness == threshold\n",
+    "    \n",
+    "are located on a 3D-plane in 4D. \n",
+    "\n",
+    "Points in the \"not yummy\" class fulfilling\n",
+    "\n",
+    "    -0.1 * alcohol_content + 4 * bitterness + 0.8 * darkness + 1.9 * fruitiness < threshold\n",
+    "    \n",
+    "and points in the \"yummy class\"\n",
+    "\n",
+    "    -0.1 * alcohol_content + 4 * bitterness + 0.8 * darkness + 1.9 * fruitiness > threshold\n",
+    "    \n",
+    "are located on different sides of this plane.\n",
+    "\n",
+    "Again: **Here the classifier separates the 4d space into two parts, the separation boundary is a plane in this space.**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To illustrate this, we use ignore `fruitiness` such that we have 3 features:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 319,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1440x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "\n",
+    "fig = plt.figure(figsize=(20, 7))\n",
+    "\n",
+    "xv = beer_data[\"alcohol_content\"]\n",
+    "yv = beer_data[\"darkness\"]\n",
+    "zv = beer_data[\"bitterness\"]\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
+    "\n",
+    "def plot(ax):\n",
+    "    ax.scatter(xv, yv, zv, c=colors, marker='.') \n",
+    "\n",
+    "    ax.set_xlabel('alcohol_content')\n",
+    "    ax.set_ylabel('darkness')\n",
+    "    ax.set_zlabel('bitterness');\n",
+    "\n",
+    "ax = fig.add_subplot(121, projection='3d')\n",
+    "\n",
+    "plot(ax)\n",
+    "ax.view_init(5, 275)\n",
+    "\n",
+    "ax = fig.add_subplot(122, projection='3d')\n",
+    "plot(ax)\n",
+    "ax.view_init(5, 5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first view is very similar to the scatter plot we have already seen before as we barely can see the effects of the third feature.\n",
+    "\n",
+    "The second view shows the same cube rotated by 90Ëš to the left. We see that the new dimenission adds extra information which could improve separation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### About 2D examples\n",
+    "\n",
+    "For the sake of simplicity and visualisation we continue with 2 dimensional examples.\n",
+    "\n",
+    "It is clear that such examples only represent very small subset of realistic ML scenarios. But most concepts can be illustrated in 2- or 3D without loss or generality.\n",
+    "\n",
+    "The examples also might look artificial, but general classifiers should work on all kind of problems."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## More complex decision surfaces"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The next example data set can not bew classified by a line, the decision line is curved:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-3.591782</td>\n",
+       "      <td>3.612599</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>6.580586</td>\n",
+       "      <td>-2.105557</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.670938</td>\n",
+       "      <td>-5.905074</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          a         b  label\n",
+       "0 -3.591782  3.612599      1\n",
+       "1  6.580586 -2.105557      1\n",
+       "2 -0.670938 -5.905074      1"
+      ]
+     },
+     "execution_count": 165,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"2d_points.csv\")\n",
+    "df.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 285,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xv = df[\"a\"]\n",
+    "yv = df[\"b\"]\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in df[\"label\"]]\n",
+    "plt.figure(figsize=(5, 5))\n",
+    "plt.xlim([-8, 8])\n",
+    "plt.ylim([-8, 8])\n",
+    "plt.scatter(xv, yv, color=colors, marker=\".\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this case the decision line is curved and is looks like a circle. A hand-crafted classifier could classify new points based on their distance to the center.\n",
+    "\n",
+    "\n",
+    "It should be clear that a linear classifier is not suitable for this problem !\n",
+    "\n",
+    "### Example for feature engineering\n",
+    "\n",
+    "To improve ML performance we can try to enhance / transform a given feature-set by transformations. This process is called **feature engineering**.\n",
+    "\n",
+    "In the previous example we see that the distance of the origin of a point could be used to implement a classifier.\n",
+    "\n",
+    "Computing the distance of a point to the origin (0, 0) using the euclidian formula includes terms $x^2$ and $y^2$. \n",
+    "\n",
+    "Let us create a scatter plot for this transformation:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 286,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(xv ** 2, yv ** 2, color=colors, marker='.');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As you can see both sets can be separated by a line now !"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Another example for feature engineering\n",
+    "\n",
+    "**COMMENT UWE: is this section too much ?**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The so called \"xor-problem\" is a typical benchmark problem for machine learning. The following example illustrates this problem:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 370,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-1.539782</td>\n",
+       "      <td>0.950822</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.436266</td>\n",
+       "      <td>-1.768324</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-1.466436</td>\n",
+       "      <td>1.391890</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-1.037642</td>\n",
+       "      <td>-0.953587</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.691444</td>\n",
+       "      <td>-0.219826</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          x         y  label\n",
+       "0 -1.539782  0.950822  False\n",
+       "1  0.436266 -1.768324  False\n",
+       "2 -1.466436  1.391890  False\n",
+       "3 -1.037642 -0.953587   True\n",
+       "4 -0.691444 -0.219826   True"
+      ]
+     },
+     "execution_count": 370,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xor = pd.read_csv(\"xor.csv\")\n",
+    "xor.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 349,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xv = xor[\"x\"]\n",
+    "yv = xor[\"y\"]\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in xor[\"label\"]]\n",
+    "plt.figure(figsize=(5, 5))\n",
+    "plt.xlim([-2, 2])\n",
+    "plt.ylim([-2, 2])\n",
+    "plt.title(\"green points have label True\")\n",
+    "plt.scatter(xv, yv, color=colors, marker=\".\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Again, this example data set can not be separated by a line. But we see that points where the sign of x and y are the same appear to form one class, and point with different signs for x and y belong to the other class.\n",
+    "\n",
+    "How can we engineer a more descriptive feature which describes \"x and y have the same sign\" ? We just have to recall that the product of two numbers is postive if and only if both numbers have the same sign.\n",
+    "\n",
+    "So lets plot a histogram over `x * y`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 350,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAADvBJREFUeJzt3X+s3XV9x/Hna6UOoy5gOCMdpavZCIYYLcldh2F/dCimc0ZwccvIRjCy1CWSYGK2+SOZlzgTF6fsjy0udTCajOmIPwJhOOywhJg4tGitheJ0TiOk0hpHgCxhKbz3x/2SXS/39px7zvfcc/rp85Gc3HM+53vOeVHaVz/9fj/f70lVIUk6/f3crANIkvphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIacdZGfth5551X27dv38iPlKTT3kMPPfSTqhoM225DC3379u0cPHhwIz9Skk57SX44ynbucpGkRljoktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZs6Jmi0jxZvH9x9fFdq49L884ZuiQ1YmihJzk7ydeSfCvJw0lu6sZvS/JfSQ51tx3TjytJWssou1yeBa6oqmeSbAa+kuSL3XN/UlWfnV48SdKohhZ6VRXwTPdwc3eraYaSJK3fSPvQk2xKcgg4Duyvqge7pz6S5HCSm5P8/Bqv3ZPkYJKDJ06c6Cm2JGmlkQq9qp6rqh3AVmBnktcA7wdeDfwa8Ergz9Z47d6qWqiqhcFg6PXZJUljWtcql6p6EjgA7K6qY7XkWeAfgJ3TCChJGs0oq1wGSc7p7r8UuBJ4NMmWbizA1cCRaQaVJJ3aKKtctgD7kmxi6S+AO6rq7iRfTjIAAhwC/niKOSVJQ4yyyuUwcOkq41dMJZEkaSyeKSpJjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEYMLfQkZyf5WpJvJXk4yU3d+KuSPJjke0n+OclLph9XkrSWUWbozwJXVNXrgB3A7iSXAX8J3FxVvwr8N3D99GJKkoYZWui15Jnu4ebuVsAVwGe78X3A1VNJKEkayUj70JNsSnIIOA7sB/4TeLKqTnabPAZcsMZr9yQ5mOTgiRMn+sgsSVrFSIVeVc9V1Q5gK7ATePWoH1BVe6tqoaoWBoPBmDElScOsa5VLVT0JHABeD5yT5Kzuqa3A4z1nkyStwyirXAZJzunuvxS4EjjKUrG/vdvsOuDOaYWUJA131vBN2ALsS7KJpb8A7qiqu5M8AnwmyV8A3wRumWJOSdIQQwu9qg4Dl64y/n2W9qdLkuaAZ4pKUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRoyyDl2aX4uLo41JZwBn6JLUCAtdkhphoUtSIyx0SWqEB0XVHg+U6gzlDF2SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEYMLfQkFyY5kOSRJA8nubEbX0zyeJJD3e3N048rSVrLKCcWnQTeW1XfSPIK4KEk+7vnbq6qv5pePEnSqIYWelUdA451959OchS4YNrBJEnrs6596Em2A5cCD3ZDNyQ5nOTWJOf2nE2StA4jF3qSlwOfA95TVU8BnwR+BdjB0gz+42u8bk+Sg0kOnjhxoofIkqTVjFToSTazVOa3V9XnAarqiap6rqqeBz4F7FzttVW1t6oWqmphMBj0lVuStMIoq1wC3AIcrapPLBvfsmyztwFH+o8nSRrVKKtcLgeuBb6d5FA39gHgmiQ7gAJ+ALxrKgklSSMZZZXLV4Cs8tQ9/ceRJI3LM0UlqRF+Y5HOCIv3L846gjR1ztAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJT/6UxrXU5gcVdq49L0+YMXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRgwt9CQXJjmQ5JEkDye5sRt/ZZL9Sb7b/Tx3+nElSWsZZYZ+EnhvVV0CXAa8O8klwPuA+6rqIuC+7rEkaUaGFnpVHauqb3T3nwaOAhcAVwH7us32AVdPK6Qkabh17UNPsh24FHgQOL+qjnVP/Rg4v9dkkqR1GbnQk7wc+Bzwnqp6avlzVVVArfG6PUkOJjl44sSJicJKktY2UqEn2cxSmd9eVZ/vhp9IsqV7fgtwfLXXVtXeqlqoqoXBYNBHZknSKkZZ5RLgFuBoVX1i2VN3Add1968D7uw/niRpVKNcPvdy4Frg20kOdWMfAD4K3JHkeuCHwO9NJ6IkaRRDC72qvgJkjaff0G8cSdK4PFNUkhrhNxbpjLDrtvtfNHb/O3ZteA5pmpyhS1IjLHRJaoSFLkmNsNAlqREeFNXpY3Fx1gmkueYMXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGmGhS1IjLHRJaoTXcpFWWLx/8cVju148Js0bZ+iS1IihhZ7k1iTHkxxZNraY5PEkh7rbm6cbU5I0zCgz9NuA3auM31xVO7rbPf3GkiSt19BCr6oHgJ9uQBZJ0gQm2Yd+Q5LD3S6Zc3tLJEkay7irXD4JfBio7ufHgXeutmGSPcAegG3bto35cdJsrbbyZT3bukpGG2GsGXpVPVFVz1XV88CngJ2n2HZvVS1U1cJgMBg3pyRpiLEKPcmWZQ/fBhxZa1tJ0sYYusslyaeBXcB5SR4DPgTsSrKDpV0uPwDeNcWMkqQRDC30qrpmleFbppBFkjQBT/2XNsBaB1U9WKo+eeq/JDXCQpekRljoktQIC12SGmGhS1IjXOUizdColxRwNYxG4QxdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhNdy0f9bXBx/rO/PlbRuztAlqRFDCz3JrUmOJzmybOyVSfYn+W7389zpxpQkDTPKDP02YPeKsfcB91XVRcB93WNJ0gwNLfSqegD46Yrhq4B93f19wNU955IkrdO4B0XPr6pj3f0fA+evtWGSPcAegG3bto35cdKZbdQvwljz9X5Bxhlh4oOiVVVAneL5vVW1UFULg8Fg0o+TJK1h3EJ/IskWgO7n8f4iSZLGMW6h3wVc192/DriznziSpHGNsmzx08BXgYuTPJbkeuCjwJVJvgu8sXssSZqhoQdFq+qaNZ56Q89ZJEkT8NR/zd5GXF5AOgN46r8kNcJCl6RGWOiS1AgLXZIaYaFLUiNc5TIPRlnRMcmqj0lWkcxqtYmrXDbEateIWe26L2tdS8ZrxMwXZ+iS1AgLXZIaYaFLUiMsdElqhIUuSY1wlcuZylUkWsOk346k2XGGLkmNsNAlqREWuiQ1wkKXpEZ4UHSa/OIGzYmNPNA56uUE1D9n6JLUiIlm6El+ADwNPAecrKqFPkJJktavj10uv1lVP+nhfSRJE3CXiyQ1YtJCL+BLSR5KsqePQJKk8Uy6y+U3qurxJL8I7E/yaFU9sHyDruj3AGzbtm3Cj5syV6VIU+EXZGyMiWboVfV49/M48AVg5yrb7K2qhapaGAwGk3ycJOkUxi70JC9L8ooX7gNvAo70FUyStD6T7HI5H/hCkhfe55+q6l97SSVJWrexC72qvg+8rscskqQJuGxRkhpx+lzLZZ5WoMwiyzz990unmTNllY0zdElqhIUuSY2w0CWpERa6JDXCQpekRpw+q1zmnStOpHUb9ZuUprUapbVvV3KGLkmNsNAlqREWuiQ1wkKXpEacuQdFRz2I2ffBzj7fzwOxmrFRD2pupHnMtFGcoUtSIyx0SWqEhS5JjbDQJakRFrokNeL0XuUyq5UqkubCNFa0rOc9V7tMwCy/TMMZuiQ1YqJCT7I7yXeSfC/J+/oKJUlav7ELPckm4G+B3wIuAa5JcklfwSRJ6zPJDH0n8L2q+n5V/S/wGeCqfmJJktZrkkK/APjRssePdWOSpBlIVY33wuTtwO6q+qPu8bXAr1fVDSu22wPs6R5eDHxn/LhTdR7wk1mHGGLeM857PjBjX8zYj1Ez/nJVDYZtNMmyxceBC5c93tqN/Yyq2gvsneBzNkSSg1W1MOscpzLvGec9H5ixL2bsR98ZJ9nl8nXgoiSvSvIS4PeBu/qJJUlar7Fn6FV1MskNwL3AJuDWqnq4t2SSpHWZ6EzRqroHuKenLLM297uFmP+M854PzNgXM/aj14xjHxSVJM0XT/2XpEZY6Msk+XCSw0kOJflSkl+adablknwsyaNdxi8kOWfWmVZK8rtJHk7yfJK5WmEw75eqSHJrkuNJjsw6y2qSXJjkQJJHuv/HN84600pJzk7ytSTf6jLeNOtMa0myKck3k9zd13ta6D/rY1X12qraAdwN/PmsA62wH3hNVb0W+A/g/TPOs5ojwO8AD8w6yHKnyaUqbgN2zzrEKZwE3ltVlwCXAe+ew1/DZ4Erqup1wA5gd5LLZpxpLTcCR/t8Qwt9map6atnDlwFzdYChqr5UVSe7h//O0tr/uVJVR6tqHk8em/tLVVTVA8BPZ51jLVV1rKq+0d1/mqUymquzw2vJM93Dzd1trv4cAyTZCvw28Pd9vq+FvkKSjyT5EfAHzN8Mfbl3Al+cdYjTiJeq6FGS7cClwIOzTfJi3a6MQ8BxYH9VzV1G4K+BPwWe7/NNz7hCT/JvSY6scrsKoKo+WFUXArcDN5z63TY+X7fNB1n65+/tG51v1IxqV5KXA58D3rPiX7Vzoaqe63abbgV2JnnNrDMtl+QtwPGqeqjv9z69v7FoDFX1xhE3vZ2lNfYfmmKcFxmWL8k7gLcAb6gZrTldx6/hPBnpUhU6tSSbWSrz26vq87POcypV9WSSAywdl5inA82XA29N8mbgbOAXkvxjVf3hpG98xs3QTyXJRcseXgU8Oqssq0mym6V/pr21qv5n1nlOM16qYkJJAtwCHK2qT8w6z2qSDF5Y/ZXkpcCVzNmf46p6f1VtrartLP0+/HIfZQ4W+kof7XYdHAbexNJR6HnyN8ArgP3d0sq/m3WglZK8LcljwOuBf0ly76wzwdKlKljahXYvSwfz7pi3S1Uk+TTwVeDiJI8luX7WmVa4HLgWuKL7/Xeom2XOky3Age7P8NdZ2ofe27LAeeeZopLUCGfoktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEb8H34J5hL8mzEZAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "products = xor[\"x\"] * xor[\"y\"]\n",
+    "\n",
+    "features_class_true = products[xor[\"label\"]]\n",
+    "features_class_false = products[~xor[\"label\"]]\n",
+    "\n",
+    "plt.hist(features_class_true,  bins=30, color=\"g\", alpha=.5, histtype=\"stepfilled\")\n",
+    "plt.hist(features_class_false,  bins=30, color=\"r\", alpha=.5, histtype=\"stepfilled\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this case a simple classifier would just introduce a threshold of 0 to distinguish both classes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Other examples for feature engineering\n",
+    "\n",
+    "Feature engineering requires understanding your data to extract meaningful and discriminative information.\n",
+    "\n",
+    "Proper feature engineering can boost the performance of a classifier significantly.\n",
+    "\n",
+    "Examples:\n",
+    "\n",
+    "- nudity classifier: color histograms of full image and image patches\n",
+    "\n",
+    "\n",
+    "- spam classifier: choice of dictionary, extra feature which counts words only in capital cases or words with unusual characters (like \"pill$\")\n",
+    "\n",
+    "\n",
+    "- to distinguish background noise from speach audio samples, the frequency distribution might help. Also std deviation  or a histogram of loudness / energy of a sample might help.\n",
+    "\n",
+    "\n",
+    "- to classify DNA sequences, n-gram histograms (n>=1) can be benefitial (-> GC content).\n",
+    "\n",
+    "\n",
+    "- for geopolitical data a feature \"state\"  can be enhanced by \"political system\" and or \"GBP\".\n",
+    "\n",
+    "\n",
+    "- for sales data add a feature \"is week day\".\n",
+    "\n",
+    "\n",
+    "Most cases are beyond the 2- or 3D case and visual inspection can be difficult. Thus engineering features as we did in the 2D examples before becomes tricky. But here are some general recommendations:\n",
+    "\n",
+    "- use statistics (mean, std deviations, higher order features) as well as histograms if applicable.\n",
+    "\n",
+    "- polynomial features (e.g. extend `x, y` to `x, y, x * y, x ** 2, y ** 2`) (see examples section also).\n",
+    "\n",
+    "- image classification: dig into *computer vision* to learn about image descriptors.\n",
+    "\n",
+    "- audio classification: learn about FFT, wavelets, filter banks, power spectrum, ...\n",
+    "\n",
+    "- try to incorporate external data.\n",
+    "\n",
+    "*Comment*: \n",
+    "\n",
+    "We will see later that many features can introduce other problems (-> *overfitting*) but there are also methods for feature selection in this case (see https://scikit-learn.org/stable/modules/feature_selection.html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise section"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. Modify the weights in the beer classifiers and check if you can improve separation in the histogram.\n",
+    "\n",
+    "Try weights  `[-0.05837955,  3.69479038,  0.6666397 ,  1.62751838]` in the beer classifier. These are the weights the `LogisticRegression` classifier in the previous script computed.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "2. The following script learns classifiers on different data sets and plots decision surfaces."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 358,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "487 out of 500 predicted correctly\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAFpCAYAAACVjP/1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzsnXd4VEXbxn9nNx1Ip2SBECDUUKT3JlJVmoAUBRWlCJZPQHxF4bWhgqAiCCqKgoLSXkEEpCkiVToC0hEhDdJ7srvn+2PY3Sxpm+0J5+bKldmzc2aenSUzZ+7nee6RZFlGgQIFChTce1C52gAFChQoUOAaKAuAAgUKFNyjUBYABQoUKLhHoSwAChQoUHCPQlkAFChQoOAehbIAKFCgQME9CmUBUKBAgYJ7FMoCoECBAgX3KJQFQIECBQruUSgLgAIFChTco/BwtQHFITQ0VI6IiHC1GQoUKFBQZnD06NHbsixXtqSuWy8AERERHDlyxNVmKFCgQEGZgSRJ/1haV6GAFChQoOAehbIAKFCgQME9CmUBUKBAgYJ7FMoCoECBAgX3KJQFQIECBQruUSgLgAIFChTco1AWAAUKFCi4R6EsAAoUKFBwj0JZABQoUKDgHoWyAChQoEDBPQqbFwBJkmpKkvSrJElnJUk6I0nSC4XUkSRJWihJ0iVJkk5JktTS1n4VKFCgQIFtsIcWkBaYKsvyMUmSKgFHJUnaIcvy2Xx1+gH17vy0A5bc+a2gKOh04rda7Vo7FChQUG5h8w5AluUYWZaP3SmnAeeA6ndVGwiskAUOAoGSJIXZ2ne5xapVUKEC+PnBt9+62pryg7w8GDkSQkLg0UchN9fVFrkEelnPX/F/EZ0Wbfe2LyZc5Ej0EfSy3u5tK7A/7KoGKklSBNACOHTXW9WBf/O9vnHnWow9+y8Avd68rFI5v2zNPU8/DTk5pvKoUa6xwx3Hxpbyl1/Cxo2QlSV+f/UVjB9vc7t62byskqwr23q/JWWdXsfg7wez+9pu9Ho9K4asYGjjoXax6bMjnzFt+zQkJHpH9mb98PXIyHax2xlj4y42AWZlR8JuC4AkSRWB9cCLsiyn2tDOeGA8QHh4uPUG6fWQmCh+6/WQkgIBAeI9Z5VVKuv61mpNn0Ong/h419jhjmOTnAyHDonJPDpaTOBjxlh275UrkJ0tyjk5cPMm3L5t09joJUjMTkEfJMop2SkE+Ig6pSmrJBV6WW/1/ZaWj8ccZ+ulregRD0ev/PIKXcO72sWmN3a/QbZOjO/G8xs5E38Gb7W3zXYXZkd8ejw7ru5AQqJXnV5UrlDZYWPmzO9LJalQSSqC/YKdsgjYZQGQJMkTMfl/J8vyhkKq3ARq5ntd4861ApBl+XPgc4DWrVvLVhul14vJQqsVPzExoNGALDuvrFZb1/esWfDuu6L8yiuQkOAaO9xxbGbMgC1bTN/zjBlQsyaEhpZ8b4cOUKMG/PuvqN+3r3hIsGFs9CpITYsm1ysMrQpiUmPQ+GuQkUtVVqvUaPVaq++3tJyRm2Gc/AHCfMO4nXnbLjaF+YVxK+eWmBOQyNPlEZcWZ7Pdhdnx+NrHOZV0CoAWQS1Y+ehKh42ZM78vtUqNh8qDQN/AsrEASJIkAV8C52RZXlBEtU3AFEmSvkc4f1NkWXYs/aNSgb+/aQcgSRAUZDDaOWXDU25p7x88GJ56SpSTklxnhzuOzdatmMHTEzIyoFmzku+tXx8OHBBP73o9BAfbPDYqCSp6g94vCL0kJr4gX1GnNGXDE6WERKBPIKfiTpGZl0mUb1Sp2yqu3KhyI1YMWsF7e94j1CeUhQMWEuwbXKJNRbUb4BPAnN/m8PP5n+lVrxfVA6oTmxbL7J6zCasUho+Hj812F2aHYfIHOJ503C5jY6tN9mrX8OMM2GMH0Al4HDgtSdKJO9deBcIBZFleCmwB+gOXgEzgSTv0657Q6eDiRWjYEAIDXW1N+UPDhnDunOl1jRrQvbvJZ1ISJEl8L0lJDjHPHpj+y3R+OPcDevS82PpFpneZbtf2e9buSc/aPUnKSjJOQNbi+7++57MTn6FHz9envubjfh/TvVZ3m9stCQ0CGnA+5TwAjQMa29SWVq9lw7kNJGQmMPa+sfh5+tnDxDIBmxcAWZb/AKQS6sjAZFv7KhX0ekhNNaeAhDGOK+fmiiiT8+I/Jt99J55MndF3ceX8dIsr7bCHTW++CevWQVoatGkDAwcKXt9FY6NXQXpaNLm+spECAozbekvLapWaNX+tYfbvs8mPj458xLjW46xu15ZyfpqjqHrXEq8ZKSUdOq4mXKV+UH2H2/Fu73fZdXkXkiTRs45YzKztY8G+BWz7ZxsAa0+tZd2odXYZG2s/q4fKo2z5ANwSrqCATp4UjkYDvvoKVqwou3SLO9rUqBEsuMM0ugE9Zi8KKEebU2DyB6hdqXaRFI2jy5bQHGNbjmXliZWk6dMI8Ahg9H2j8VJ5OdyO+iH1aVdDpBLl38lY08fuf3Ybx/t86nl8PHzQ+GvuCQpIkYKwJ6pUMSVwgaAnFCiwAIXFzXep1oVVw1a5wBrLUb1SdY5MOsKaR9bw58Q/qVqhqqtNKjU6Vu9oLIdXCMfXw9eF1jgX5XcH4AoKSKOBmTNh6VK47z6YMkVEmdirj0OHRMSLRnPvUkBuZoctFFBGbgYf/PEBefo8nmn9DNPbTWfeoXkAfNr/UyIDI6nkVYnErESHUj2Hbx5m/z/76VOvDw0rNzRe33h+I1vObaFptaZMbjcZpKI/X4B3ADnaHLK12S6homwpz+s3j+9Ofset9FtMaDuBpOwkhQIq87CEAlq9GnbvhkGD4MEH7UNtTJwoskztTb28+ip88424NmsWDB9uqpOQAJcvQ5MmYnEozxSQm9lhCwU0ddtUfrn2CwA7r+zk1ORTPNb8MUL8QpAkyWZqw5LyybiTjPtpHDIyy08tZ/vj29H4azgdf5pZv85Ch459sftoWLUhwxoPc1sqytby9M7TSzXeCgVU1rFpE7z8sogpnzgR9u1ztUVFIzvbNPkDzJtnKv/5p4iCGTpU/M7IcLZ1CqzEkegjxnKmPpPbWbdRq9SIyGrnYM+VPciIdBs9ev64/gcA5xPOm+ULXIy/6DSbCkN8RjzfnvqWnVd2utSO8obyuwMoiQI6csQkFaHXw9GjprBNN6EXjOWqVU1PqiC0bKLv6LgsWiR+5+XBjRuwebPYgbgj3eKONrmQAhrWaBhLTy4FoF5gPXzUPkSnRlt8vz3KUWFRcBLjtQYhDYhOjaZD9Q544okWLXr0dKvTrQAVtfTPpSw7uozKPpWZ3XM2HWp2cIitWdosui/rTgbi4ebl9i/zQJ0HnDpOd5cVCsjdoVJBxYomCkinM6Xx63QifHD5cvGehwf06ycWgPx1bC0bJm1b2woOhvXrxY4lKAjmzjXZ2rAh7Mz3VNSggePscMexcbEdKgkqeGjx8Q1ELwmtHUN6f0nlmT1m0qx6M2RZpm9kX7zUXuhlvcX326PcqEojArwD2Hd5H/0a9aNN9TYkZCYQ4hfC4QmH+fPmn2gqamhWrZnZ/XEZcSw+uhiAG9k3WLB3Aduf2u4QW8/fPE8uJuG+rRe2MqrZKKeO091lAwXkiHbLWiKYe0Kvh/R00w4gPl5M9LIsynXqwI8/wv79gjoJCRFPdfnr2Fo2PF3ao63ISFi82FyKwMMDnnxShJ5evixyEKpUEZmujrLDEWNz+bJQP1WpXGuHFffrVZCRFk9uRTValdCo8VB5ICNbVI4MjETjryFXl0tmXmap7y+ynCb0o9QqdYn1W4W1QlNBg8ZfQ3J2svG6t9qb9jXaE5MaQ0p2itk9t9Jvmf25peWmFahjr3JYxTAzOqp99fZ276O0ZcMOwF7tRqdEI8syPp4+eKg8CJVDlR2ATbDECdyqlVgI3NTBaHF57lxTubDYeHdxuBZm0yuvCHkHvV44uidPdo0dRdU7cQLeeEPswqZNc1geQHFORVmWSc9Jt7itCwkXGLJ6COmk82jDR3mt22t2tynIN4hRjUax6twqPPHkjV5vOMxBG+IXws4xO/nmyDfUr1afx5s9Tkp2isP6k2WZrLwspzmB155Zy4vbXwRg7gNzGdt8rOIEVuAi6HQiy1aWHd9XcjL8/LPJt/HJJ47vszTIzoaxY0WAwE8/wYsvOt2E6LRoWixpQYflHRj43UBydSWfYfDf3f8lnXQA1v29jlNxp0q4wzq82u1VLk65yKUXLtGuumPPd6ofUp9pXac5fHK8lXmLdp+3o+2XbXlw5YNk5WU5rC8Dpm2fZiy/vPNlZGf87d1B+d0BuCIP4O5yWXN0XrkCw4YJXZ327WH2bMfaZJBmNiA0VOxg3GVs4uJMixPAhQsF7LObFIR0x6mYZv7e18e+NipsHok/wg9//UDLai2Lb1dvmkB06EjOTrZKKsESR6fGX+OQ2P/i7Dh44yC/XfmN3vV60yKshV37W3N6DTczhVDxidsnWHlqJZ1qdLJqbCz+fKjRojWW03LSCKkQolBANqEsq4EWV96wAbZvh06d4LnnxDV72fHVVyZRtSNH4NIloWXkqLHx9xd9fvSRcGrPnOle31FgIHTsCIcPi53R5Ml2oYAuJFygx/Ie3Mq5xeSWk+letztj140lU85katupvNTpJeM9IRVCMECNmsoVKpcoU/B+3/cZumoosdmxTGo5iW4R3dwi/h4ZNl/czJ7Le+hSuwtjq44ttR1nbp3hmc3PICOz6uwqNo3YRERghN0ooMAKJgHH4sbbnmPzzSPfMH7DeFRqFYseXoS/j7/iBFZQCH75Bf77XzFh/fEH1K4NDz9sv/YrVjSVZRl8nZAS37atSeLZ3RQ6JUlkdV++LBaDypXt0uzsnbONT/WLjy1m3dl1ZMqZAMw/PJ9xrccR4C2iQya3n8yRm0c4EnuERxs/Sp+6fUjOTi62/fCAcH554hfjRJOU5R7juuXSFmbumokOHVuvbSUiKIJutbqVqo0D/xwgf97CwRsHiQiMsJuN41uP59D1Q+yL3seg+oMYUH8AqTlWn29lEbqEd2H/hP3GhcWZKL8LQHmkgE6fNqckTp8WOwF72TFhgkgsu3oVRo+G8HDHUTJlhR6LjYV69UTZkHthIwWUnWtOfem0OrPXyVnJ6PQ6I8Xy+aDPjWVLZArcNdb9+I3j6DB91qM3j9K0StNS2REVFmU2Vo0rN7Zr7oTGX8OnAz41llNyUuw2Nhm5GXz252f4evkyutlo0nPSC21XyQOwB8ojBTR0qJCvkGUxaQ0fLqJT7GVHUJDINyguoshdx8ZFdlhDAb3T5x2e2fgMqbpUnm76NA83fpgn1j9BijaFVzq+Qq3AWsXeX1YlGIY0GcLa82uNnPegRoMsUjrNb0dU1SjWDV3Hnqt76BXZi1aaVk6RzLDH2Iz73zgOxYnj0n+98itrHl1jVic2PZYtF7bQqGojngx6Emeg/C4A5REREUIQ7uRJ8XQeGelqi+4NJCSIENArV0Soap8+NjUXVSWKc8+fQ5ZlkrOTCfIN4uzzZ9HLeqfTNbHpsZy9ddaMR3cUGlduzN6n9nIy7iSRgZHUCapjVTsdanagYWhDh9trbxgmf4CzSWeNCrBZeVnM3zuf5WeWA+CBBzq9jgmtJzjcpvK7AJRHCigmRiSCtWwpypbSM+5Ct7ijTZbY8c47sGePuPbUU/Drr0J6A/seCONIxcvCynuv7eXZbc+iQoWExLbR26hWqZpDbdL4a+hcszMxqTEWRyY5Y2xydbnsuLyDxpUbExEU4RCbOlXrxL5YoTnWPKg5sWmxqCQVz/30HL/e/BUDtGjZcmGLsgDYhJKkIMqAzEC5s8MdbbLEDgP3D4L60WpFxvUdKQhvL+ukIPKXHSUtUFz54D8HAYxZtn/c+IOnWzztUptcMTZ+nn4M/X4ofyf/DcAnfT+hS3gXu9u0YtgKlh9bjrenNyOajCAjN4MAnwCOxhwlP1SoGBI1BGeg/C4AJUlB3F1eu1ZkfPr6ioSk8HDrZQbWroUPPgA/P5g/XxwM4y6yC+4oBeHudkyaBC+J0EzatBHifLGx4OFBrgdc0scTmuNe0gKWlEMqhpj9yYRVDDOTgnCFTa4Ym7O3zhonf4CF+xbSILiBQ2zqWqurMXfCcL1fvX78cP4HAALVgcztN5fRTUc7ZZosvwtAaZzAvr5i8gfIyhI87+7d1jkV8/IEZQAipv7ll+G338q0o9NhNul0YpEODMSifAZXjU1UlNCLunxZJMipVOInKAgPFVQBAvI5825l3uJYzDEahTZymcPVkvJTLZ/Cx9OHPVf20LNeTx6u/7DLbXLF2IRWDEWFyrgTah7W3GlHQgb6BFK1YlXUqKlVqRZrR6ylhn8NJQ/AqZBl89f5j3UsLfKHaYKRK74nceuWUCqtUgV69iz4Xp8+gmOPihLCfO6Egwdh40ahFRUQIBbxDh1EYlgxOBF7gjE/jkGFCi1afh/7O3WD6zrH5lJCkiSmtJvClHZT3CZXwBLs+3cfJ2JO8EjjR6hWsZrN7VWtUJXvhnzH/N/n06BKA2b1mEWezjl/twdvHmTx0cXo0HEl7QqLDy7m3d7vOqVvKM8LQGmcwBqNeOqfM0c88Y0bB2++CV27QrdupXcwTpoES5aI17NnFxo/7naOTnuX//5b6OhkigQn3ntPnLpmqPPpp6bymTOwYgV06eIeY3PgAIwfTwFs3Ch2lV26GOtrPSBWjkYvCYffxrMb0d/5BzBw5UACfQN5rsNz9I7sXSqn4ubzm/lg7wd4qDx4pdsr9KrbyyEOUHdyTJdkx/pz65m9ZzYA8/fNZ8fYHWTnZdvcR5MqTZjTe45RmdVZY3M58bJZbkR8RjypOalKHoDNKG0ewOTJQk75n39gwABxz7p1sGyZyFYtDb0weTLMmCF4ZElybDy9JWVXUEDR0WJiNWDbNnj8cVOd4GDTe2q12CUUdpylK8bm9m3w9Cx893bjhlnuhYcKqmGigNrWasv6C+uNC0CSPomkjCRm7JzB8CbDkSTJIkpBlmVe/fVVZMTudNaOWQxvMtzsHkeX3ZEC2vXbLuNXISNzJfkKrcNal0laSqvT8skBkwCiChUzus7A39t5UhCKGmh+SFLBk8IOH7auLU9PMbHdq6hf35xKa9vW/P1x4wSv7ukJgweLA3rcBW3bmnh+Azw9xe/evYu9tV/dfnzU9yOGNRhmdj2PPGPctyWQ7/wzwKDu6QrIssx3p79j6rap7PvXtUendqrdCdWdaUuHjqjKUSXc4b64nnKdmMwY4+tqvtWIDHZubk/53QFYmwfQtKl5Oy1aWE/hlKVYd3uX1Woh9PbjjxAWBo89BomJ5jZ98omJgktJcZ+x0evFmdF//CEUSiMjRfKdRiNe5/scd1NAMakx3B9xPz0iehDiF8LS4+LIx1ENR5Gak1oqSuGZZs/wxakvAHiuzXNWKXrag3pZdmwZH//5MQDfn/uetT5raVi5oUsooFFNRuGh8uDUzVOMvG8kPh7OP0azqO+rtGVJlkTS1x0KqFVYK5KzkxUpCLvAFimIHTsEZdGliwj7s5bCsRf1UqmSOBT+xg2RiHTqFOzaJTj1nj3dkwIyRM888IB7H1JTnB1Nmphsv+++Qj/H3RRQ/i3+lHZTmNBmAjpZh4/ap9SUwgsdX+ClLi+hQkWeLs9lNMfVxKvkx79p/9IxvKPL6JaJrSeSFOV8+YeSvq9Sl0Mkdj6xk+VHl1PJuxIvdnwRHw8f5UhIl6NxY/HUavhjdzVeew2+/VY8nX7zDeTmYsw3WLNGnAuswDmQZdi7V+wCBgwwp4kKQZUKVQDrFTn9vfxtut8e6NegH5svb0ZCAqBzeGeX2VLeUCeoDm898BZJWUl4qb2c3n/5XQDKkxTEjh0YQ1UNev2Gz3jggNjppKXB0aMi+7l1a+vteOcdsbDUri0ioZo1c++xKaq8YYPw37RqJQ65sZcd//2vCA4AWL8e7acLC1BA4BpKwVE0R93Auqwespqzt88SGRSJn4cfiVmJZYpuKSs2lUk1UEmSvgIeAuJlWW5SyPvdgY2AYS+5QZblN+3Rd5EoT2qgw4aJsEmdTiRNGQ59V6uhf3/w9oaHHhKLQG6umMA7diy9HSdPwvffi2uXLondxldfuffYFFbessV0bsLmzWIRa9/ePnasX48Ru3fjUdGfampzCkitUvPE+ic4EneEEY1G8H6f951DKTiQ5oiqGkXnWp3LjPJmWbXJQP+UNQroa2ARsKKYOntlWX7ITv3dW5gxQ/DpV68KZ2pMjBAn69VLaNV/+63Y7RjCFleuLDFhqVBk3XX+6c2bttvuCpw9W/DchPbt7dN2gwYixwGEJEQhkV6LDiwyKj9+f+57etbrSVtN2wL1FLgX9LKeb099S2xqLL0iexkn5/IMuywAsiz/LklShD3ashvKEwUE4uCXOnXEU2hYmEhQM0SkVKxoHrNes2bBiBtL7KhZ03wMr1xx/oEwWVkwb55wdE+YIJzIJbWVlCQOmDdcv+8+sXsxoHVr8/Gw5TtauhQ+/lj835o+HW1KUgEK6HbmbWPXOnTEZ8SXGKlyL9EcBcopMWw6v4mbKTdpU70Nrau3ttiOG6k3OB5znJ51e+Lr4WuTHW/seoP1l8QOb+GfC9n31D4qeFVQKCA7oYMkSSeBaGCaLMtnHNrbvaQG2qmToIi++07sFKZNE0lopbXD6y4nlFrt/LFZuFA4tkEIsP36q1F5s9C23ntP7IBAZBP36CF+du2CEydEPkLz5vb7jkJChI0JCRASgocKQtGaKT/+X+f/Y/fV3dzKvUXbKm0Z1ngYaTlpdleXzNPlser4Ks4mnOXxlo+XqGBZ2rKz1EA/Pfgpn534DD16PI55cGLSCQK9A0u0Y9GBRSw9KcJsq+6rym9P/0aVilWstuPIzSMYoEPH7czbVPev7tSxKasUUEk4BtSSZTldkqT+wI9AvcIqSpI0HhgPEB4ebn2PpVUDdUTZmYqXXbuaJAoyMqy3Y/JkWLxY7DRmzDD5G6y1LzdXPI1XrCiSvZKTi7fpzF3PBefOQd26hfdx6pRp8gch57F1q6ij0YikrZiY4j+Djd+R1gNuy/Go1CblR42/ht1P7uZK4hXqhtQlMy/TIYqXiw8t5utzXwNweNthFvVdRPeI7hbda0nZWWqgv1z8xZg5rUXLkZtHaKVpVawdOy/vNE7+AHG5cfxy6Rcahza22o7OEZ3559w/APjiS5WKVczUUZ0xNoYdQKgcWn52ALIsp+Yrb5Ek6VNJkkJlWb5dSN3Pgc8BWrduLVvdaXlyAjvTjkmT4JVXxLXk5JLr//svvP++eEp+7LGCdcaMEU/jKpVwzq5cWbxNU6aIc4llWUhy9+oF2dmF912rlvl3XrmyZUdk2vE7Ki4PQJIc61S8kXrD+NE98CBTm1kmHJ35y5l5mdQMqMmVjCsAeONNuxrt8Pf2L9aODG0Gd6NZ1WZUqVDFapte6foKXet25WbqTXrU6kH1StWdPjbO3gE4pRdJkqpJkiTdKbe902+CQzs9f15Ef4SFwdtvO7SrcgeVSkxwJcFwLvHKlbBoEUydWrDO7t3it14Px4+XrLR6//2wfz988YW419e36LohIfDRR+J3ZKSgZu4hBPoEGstatLTTtHOhNdZhyOoh7IneA0A9/3psGrUJf2//Eu+7v/b9BHua9KRmdp5Jg9AGNtkiSRIP1XuICa0mULlCZZvaMiA2PZZ9/+4jPdd1Uh7FwV5hoKuB7kCoJEk3gNmAJ4Asy0uBocAkSZK0QBYwQpZl65/uLcHzz0NcnCgvWSJ44M6dy64T2B3tuH1b0GwGHDlS0GncqpW4DoLKiYsT9hRnU4UK4uk/K0uoiRZnxwMPiGzomBjxdF6Us9fWsdmwAWbNAj8/5IULkcNroqJwKQhwjsP11yu/kh9n488S4hdiV4ekI53AOdocTiecNtp/MfUiElIByQu1Ss21pGtEp0XTrkY7ZGSycrPYOmYrp+NOU8GjAk2rNbVLbkJGXgbv7XmPs3FnmdJpCt0juls9NidjTzL6R3GwSyUq8fPYn0tULi2TTmBZlkeW8P4iRJio85D/CValEvSAO1MvZdGOwEBo1AguXhST5aOPFqyzerVYgD09hTy0Xl+2xkaWxaIyaxYAO4IyGXfyaXyOwcz+cxjdamzRFJCD6ZauEV1ZdW4VAD74cF/YfWWOAqrrX5fLqZcB6KrpWuhBLJ/++Snv/CEOWZpw3wRm9ZhlfK+Gfw275ia8tect/nfpfwA8v+15Do47WKhNd4/NylMreWfXO9QKrsWywcvQ+Gv46vidHBogiyyOxhylV51eJY55eXQCOx8ffyyiQeLihLZ7g1JuDy9eFIlRLVuK8Et7Ii9P8OE5OTB0aIlyAm4LSRL0z6FDQq+oRYuCdfz8hH6RYUJNKjsHj5CRIeQerl0zXnr+IcjwAHUezNj9KsPvGwUuEn19p9c7VK5QmaSsJJ5q9RSVvCu5xhAbsGn0JpYcWkKgXyBP3PcE2drsAnXm/jHXWP7sxGe82u1Vh9lz4dYFY1mNmui0aOoFFxqvYsTNtJu8susVAP5K/ItpW6axdOBSNJU0xjo6dEQERjjEZltQfheAevWEmqMhCqg0ip6XLgmJYgPefRcefth+1MvMmcLRCSLM8Z13yiYFZHg67tbNdF2SXG/T3WVZFguPga6y1I4ffzSb/AECsyBbgiqpkKwCXWoysVK8y6QgHqz/IBp/DTKy3VUxnZUHMKDhADT+GrK0WYXWCfYOJi5H0LleeJGanUpMmmNsGttqLMd/OQ5ArYq1qBVQq9BxzT82mXmZZv9H4jLiiE6J5ptjplyUiAoRRAZHWpQPUuYoILeELVFAp06Zt3XmjIhmseTe/OXC6IXcXNPkD2InsGRJ2aSAQEToBAaKSfS114T+zpAhMHGie9Bjer3wB/36q6Chfv5Z5EpYYsfdiXETJzL38e48/fMzZHlm8PaAD/EKrkw12cMlFJCjy5badOjGIU7Hn2aI/xCCfYPtbseaEWuYtnUa6TnpfND/A4L9gksVYVWaclTVKNpVb8fZW2e5v/b9eKm98FJ7FTs2gT57+5w5AAAgAElEQVSBPFL/EdZfWI8HHszpPYdKPpVI0JriXGIzYi0aG4UCcge0bm0qq1SFUxvWwstLRCYZnjKbNbNf285EXh6MHg379olErcceE0cmgsiWrVMHRoxwrY0gFtu9e0U5L0+ErK4oTrEkH3r2hKefFp+rXTsYN44uGg3nJ/8NSUnog4O47Q36nJKbsifydHk8t/k5dl/dTdfwrix6eBFqlWt4qNV/reblHS+jR89H+z5i/4T9Ft8ryzILDy1kzck1PBD5ALN6zCq0Xv2Q+vw4+kczrt+RCA8Ip5JXJYvVOSVJYuGDC3mxw4to/DX4ePiQmJlIk+AmnEs8hw4dDzVwTxWc8rsA2CIFUbMmzJ0rNGWaNxdPjNZIIhRFL3z7LXz5pZiQXnyx9JEr7kABnTolJn8QSVGbNpnGXqcrWUbCWRRQVpb50ZQ+PqWTyRg+XHxHhuu+vsayXgWJskx0hnPplmXHlrHh4gYANl3ZRIvjLRjaeKhLpCBWHF1hTOJK0aaw99peIgIiLOpj17VdzD0g+P1lp5ZRuUJletTuYdPYOKtcmE1ZeVlk5WWRmZdJTFoMy4cs56fzP6HVaxnRZIRFUUoKBWQv2JoI1r+/eMIFkfZvb+pl3jznnRXsCLolOlpMnoa4/jZtxLWcHCGSNnKke1BAPXrAyy/DZ5+JxLE5c8yTxWywQxUYRKAf6NTOjbjxlO4cT3kHelnvEOrFEpu61+7OX4l/oUePChWtNK3wVntb1MfhmMOoUBkXkOSsZIsibuz1+ZzxfU1oPaFUUUrlMhGszCIrCwYNEjRNr15iR5GVJSKEcpy873c3PPCAmORVKhHr//rr8Pvv8NtvIpErMLDEJpyGF14Qu7lVq4SAXhnHkKghhPmEAVDVqyojmriOapvWeRozu8xkcORgNo7cSLWK1Sy+d2CDgQR7iYXLF19G3ldsNDlZeVksPbKUjw58RHJ2sq2mK6A87wDsoQb6++8mh+3Zs+KpfeVKQd34+cHXX4vTw1xNc7gq4mbGDOEc12jETiAxUZTT0twrCshBduhVkOwCCig7L5ttY7aRkJVAnjYPWZYdckCLRTb5w/Co4XSp2QWNv6ZUdmj8NWx9fCuHbh6itaY1FbwqFBtxM37DeI4niQidFUdXsGvcLreigOzVrkIB2QO2qoGePm3Oa4PQgTfILmdmCtE0gxiZK9VA3UWVtCzaZIMdKv8A/P2giuR85c1gv2CC/YJJyExwmFKnM9RAA3wC6BzemRC/kBLtMEz+AHF5cXh7eOPj4eNwtVJFDbQsoig10CVLhHRynTrityQVVHtMTYVRo8zba95cnL27P1+Uw7FjDlWatFvZXexwR5tssEPv5UGqJBOfUXaUNy0tqyQVP/79I/Hp8XSo0YHmYc2N7x2NOcqyQ8sI8A3gjQfewM/Tr8i2/k36l29OfEOONocetXvYNDadqnRiX7wIPIjwiyBHm0O2Ntsl46Sogbo7CnMCx8eLSV+W4fJlmD8fFiwo6OQzaAgZUKOGiNdPTDQdkQjCL+AOjk5X5gGUdZvKoBPYGeWP93/MV6e+QoeO5UeXc3LKSXw9fUnMSmT8T+PRIZz/vr/7suihRUW29cyeZzgYfxCATec2cWjiIavHZtHARey8upNsbTa96/QuE05ga9pVdgCOQlaW+IM3RK5kZhZer25dIUYWHS0mh5F3nFPBweJA8HXrxKJg2CWcOCGSxQYMEJIIClyHM2dEEppWK3w2UVGutqhMYvvl7cZJPoMMrqdcp0FoA2LTYs3qnY0/W2w7h+IPGcs3sm6QlZeFr2cxCq/FwFPtyaim4m8uKasMSYq4McrvAlCYEzg8HPr2FdmgXl7w3HNFS0QsWgQXLggRubAwU0y7v7/IeDXU/+knmD1b3Pf+++JAEsPxhOXA0VlkOSMDli8Xu6UpU0QymKttArEo375zzMSjj8IvvzjMDlc5gZ1R7lGrB9+c/QYZGT/88Pf2JzErEX8vf+pUqsOltEvIyIxuMbpYx2/Hqh3ZFydom9p+tcnWZhcp+VBWxsYWm64lXOOZPc9wIP4AHSt3ZPGgxXioPRQnsN1RVB7A55+Lw87DwkSd4mLxW7US5eLq/O9/pj5TU+H6deErKCc0R5HlCRNMiWAHDgjJZ1fbFBQkFqb8KEkFVqGACi2/1fstWtdqTWxaLD1r9ySsUpjxve1PbufgjYP4qH1oW6Ntoffn6nNZ9ucymoU1o3/j/sjIVtM21oyNLMusOLGC87fOM6zpMFpUa+EWFNDX17/mQPwBAPbf2s/OqzsZ1XSUQgE5FX5+9lPgbNNGqIbKsphI7K0c6gqcOAEHDwqp527dzN87c0ZIPRgmf4DY2IITr6swe7Y40QxEBu/d5xwrsAgqScUjjR5BL+sL0C1eai+61upaJA0jyzL9V/QnNlvQRd2qd2PV8FU20zY6vY7TcaepUrEKXqriv9cvj3/JvIPzANh8eTM/PPIDHcM72tS/PZCjNc8fytG5Np+o/C4A9sgDsKT87LMiMuTMGRg3TgiOGWilskgB7dolJk4DVqwQWkgxMcIJ3qePqJcfTZoIkTt3oIAefFCcDhYaKk4KK0kFVqGA7G7TxcSLxskfYP/N/TblKahVanK0OQxfPZwLaUKu+b/d/svQRkOLvOfw9cPG/vXoORp9lEaVG7l8bLpHdGfTuU1cz7xObb/a9K7T22xsFArIXnDmmcCvvVY4TaRSCUnqt94S/oc5c0SilDtTQJcvm4/j6dNCFE2ShL6Ph4cpF0KjEQvgqFHg7e0eFBCYKDgH21GeKSBbbKoXXI9mIc04k3AGHToGNxxsk1SFSlJxNPqocfIH+OH4DzzT8pki7xndYjQ/X/0ZTzzxkrzoE9nHLcamYeWGHJhwgBxtDpl5Bc9wViig8oTUVKGIqdMJ8bS0NJE8VlpkZ4ucBrUTFB+bNzdNigBt25rea9xYTIDx8aLOhAlCKsPb2/F2KSgzkCSJDSM3sPH8RnSyjpFNipd4sARVKlYxex0eFF5s/W61urF+2Hpi0mPoVLMTnirPYus7Gx4qDzad34QkSTzS6BHX2eGynh0NZ1FAxZVv3jQ/BP3cudIdTCPLIopl2jTxumtX0wLiKLolPFxw/EeOQO3awg9gUM/UaITT+8cfxQlr7dqV/vMoUhDlngIyyDz0rtubmNQYUrJTbLbD18OX17u8zvcnviciMILxbcYXODv47nIlz0o0qNUAGfc7LOc/O/7DT5d/AuDLP7/k04c+NbarUED2gK1SEPYoBwZCly4mPfqpU0W4ZGnaWrbM9Jl+/11MuI0bO1buoFEj6NdPqKDeXScgQKikhoTYNjaKFIRZ2R7SAtl52Zy7fY4qFapQpWIVt7DJnrILjzR6hPGtxgM4VALDGWOz8/JODLiUdglvL29FCsKuKEoKwtkyA4sWidOo6tUTT9cxMaVry8+v4OdKTi6bsgvuaFM5kYLQ6rUM/344VzOuAvBqx1cZ1WyUS22ytnwi7gQv/PQC6fp03un5DgMbDHQrmQx7jE3rsNbsjREPhiEeIWTnZpOSnaJIQdgNznQCF1U2PF0+8ID1bb3/PkyfLvILnn3WdIKYuzhc3Sk3wcl2uIMTOFeby88XfyY2NdY4+QP8cOoHJrebbDebriZf5a3db+Gj9mH+g/PRVNI4zAH92PrHSNGnAPDKrlcY2WQkHioPlzvF7fF9GcrLH1nO4kOLkWWZJ1o9gYfkoTiBFRSCsDCRuQwi0kiB20DrBqdpTN44mcO3DiNjHpobGRJp9vpm2k32/7ufWgG1aFu9LaVBni6Pod8PJQcRs/7U/55i25htxd6TnJ2Mj4dPqfoxIFeXa/ZaL+utasedkKfLY9KmSWy9tpWumq58NeQrxrUaZ1wYXCVtUX4XAHdwApcDR2eJ5YsXxTGLNWu6j032sCMhAd54A/75R5wo1rGjWR1tfCw3/GUywaVOxYO3hNCaAS2CWxAeFM7YlmONTtKjN4/y1E9PGU/eWj5gOa01rS226UrSFePkD3Al4Uqxcf0zts1gy7UtALzd/W0GNRxUqvF4o+cbvPDLCwBMazeNbG026bnpLneK2/J9rT65mq3XtgLwe/TvLP1zKb3r9i60XcUJbA+4EwVUhmmOYst79pgE8Xr2hA8/dL5NgYEiMmrXLnF+78iR1o2NXg+rV4tw3QcfFOU9e0TdSZNEPkS+HA6VSqJipSB8VK6lFBoHNuZsshBka+DfgM1jNwOYHUN4KfES+fH71d/pXbd3ie2n5qSi1WtpENqAAXUH8PPln9GhY2rXqUXG9d9Mu2mc/AGWHlrKky2eLNV4RFWNYnDDwSRkJlClYpUynyOh1WlZfma52XegVqmLPP5SoYBcgVu3RLhlWpqQEqhXz9UWuT/mzDGVf/0Vzp8XT8rOxHffCT+JXi9CV2vWtE4B9MsvhcNerxcCf9XyHW0oyyIU1rB4OBmx6bHM/X0uAT4BPN/xebP3vhzyJT/+/SPIMKjRoELvrx9a3+x1c03zEvtcfXo103aK8GNffNn82GYmtZtErjaX1tVbF3mfr4e50qe/t3+JfRUGtUqNp9q9Yvetxd2UFsCY+8Ygy3IhtZ2L8rsAlJYCevJJOH7nxKEhQ0yngbkr9eIOduSfEPV6kbBmUE11lk2nT5uS1vR68QRvsKs0dhw+bGoHhOPecNpb+/Zip5Ev50EfH0uqv0y2p+MpoP7f9CcuV5xRsefaHj558BNjnbTsNB5v9rixfpJXwdj4ahWq8WHfD9l+fjuRoZH0jOhZojTDzJ0zjUORRRZPrH+CLWO3iD6Kib8HmN5+Op8d+ozKFSoztfPUEuP17U23pOaksvTgUuIz4nmh0wvUCKjhUgooJTuFxxs9zspzKwGY1WUWellfZLsKBWQPlJYC+vdf072G8Et3pV7cxY6FC2H8eDGZTp8uNIOcbdNjj8H334u2/PzE4u3tXXo7Ro0Si4BaLQTkXnkFJk+Ga9egc2dRL9/9KpWEf8Ug/BxMAVXyrmSc/AEupFwolDooqRxVNYqhjYaaUUPF1Q/xDSE6K9rYb6Y202I5h7H3jeXFDkJPytL+7EW3bLu0jXf3vEtiXiIAh2MOc3LySav7TspOIkeXQ6BPIJIkWU3Zvdf3PZ7v9DyZeZlEBkcW+1mdSQHZpRdJkr6SJClekqS/inhfkiRpoSRJlyRJOiVJUkt79GtXvCCcTqjVgs+uUqX4+grEGC1fDocOwdChrrGhaVMhR/3JJ0LBND91Uxrcfz9s3w4ffQTbtomJPjxctG+jcuzJ2JM8ue5Jxv84nriMuJJvyAcPlQf317xflPHgkfrOkQ1YOXQlgR6Bxtdv937bKf3agu2XtzN953Tj5A+QmJdIRp51SrU7ruyg6ZKmPPzDwzyx4QmbKRtNJQ0hviE2tWFv2GsH8DWwCFhRxPv9gHp3ftoBS+78dhxKSwENGiRCLn18RKx9TIx44nNH6qWs2uEom3x8TD4bg2yFNXZoNFC1qiiXQGVZSgHl6fIYsHoAWrRwG66uucpH/T8qUL84SmFBvwWs+WsNuy7uYv/1/cz/Yz5TO091aKSLxl/DgfEHuJ15m8SMROqG1LVJ0dMZdMvBa+YRUQARfhHkafOISSt932/uehNDeO3O6zs5fOMwFb0qlsomaz5rmaOAZFn+XZKkiGKqDARWyGIJPShJUqAkSWGyLMcUc49tsCYKqH17U1mlcl/qpaza4Y42WWmHpRSQJEli8r+DG2k3ioz+KI5SSM1ONcb7L/9rOX0a9KFLeBeHR7r4e/sT5BNUJiJuHm78MJ+d+gwVKmPI6/XM63xx5AvGtxlf6r7DA8O5kn7F+N1FBEfgpfKyyKbrydfZfHEzLaq1oLp/dbM6ablpfLz/YyQkZvaYSbBPsNlnLXMUkAWoDuQj2blx51rZxM2bMGuW4MDT011tjQI3RqBPIH0j+gLij//5Ds+XcEfhiEuLMz6NgogMUmCOFmEt2DBsA9M6TDNe06NnzZk1VrW3oP8COms6U92nOkv6L6FqhaoW3Xc1+SoPff8QM3fNpN93/Th407QzkWWZh799mO///p7Vf69mzLoxVtlmL7idE1iSpPHAeIDw8OIlX4uFoxLBoqPFWbOGc39PnYIvvnBv6sVRduTmwu7d4kCY6tXdwyYnjc2xUzv4PTaLDpE9SM8RDwFFbevn9plLnyt9qBVYi3oh9cyUKU/GnESPnhbVWoBUNJ3Uq14v/nfxf2jREqwKpn319g6nZNxFobQ0dlT0rMjwqOF8cuATssgCoFVYK6vUQDX+GpYMWGIs331wS1E2bb2wFRkZHUIJeONfG2lfvT0yMlcTr3I7986Z1cDJWyfviQNhbgI1872ucedaAciy/DnwOUDr1q2t97o4Sg00MdE0+YNYAAIDC6+flwevvy7UQB9/XDia3VHx8vZtWLtW8N8dOljWrq+viLi5cOeQjtGjxefs2BHefrtk1dMyrAa64sQK3vtjJldC1QQcDmHjqI0lqkD2qN2DEL8Qs+u7ru7iiY1PoEZNeMVwKvtVJk+bx7z+82gQ2sDs/rY12nL62dPcSL1BXFoc//fz/+Gh9uClTi+5reKlq+wI8Qthx5M7WHJgCeHB4Tzd6mnSctJK3ffZ22c5f/s8bTRtSmVT+5rtMUBCol2tdmy9vJXPDn5G7cDadKjagcNxh9Gh47Goxwj0CTRrtzwmgm0CpkiS9D3C+ZviUP4fHKcGmpMj5JLPnRP9PPRQ0eqcn38O69aJeh98AHXrih93UrzMyYEBA0QCHIjdzeuvl9zusWNCBsKA774Tv69fFzz54MHlVg1046EVVEgDXbCOWzm3OPDvAXp790amdIqQH+0VzmAdOq6mX+Vq+lUAhq4ayt7xewvco/HXUK1CNR769iGjNMPZDWfZ88yeUvdtSdlVaqD2sCPAO4CxLcei8deQmZdZ6r5XnVrF3INzAVCjZvfY3QT7BltkU0RgBG93f5sT0SdoWb0lIT4hTNg6ARDSz0PqDeGD5h+QkZvBwAYDSc5ONmu3zKmBSpK0GugOhEqSdAOYDXgCyLK8FNgC9AcuAZnAk/bot1g4Ugpi82bYskU8EQ4daspC9fIS0SiG+ikpJnvUapEo5W5HQp4/b5r8QZw5YEm7lSqZoqTuxq1bJX/OMuwEjorszF9J59GrxOTQStPKKudm46qNOZF4osDwJeuTi4y51+l1Zro8CboElztfHV12hR17r+41jrGMzOWky0QGR1ps06CGg4wSGD9d+AlPPMlDHKWakJnA8KjhheZIlMkdgCzLxZ75dif6Z7I9+nIL+PgI+sOgzjlqlDj7V5IE/TFwoLj+9NOwZg1kZYkJsV8/8bTpTqhZU9A5WVnC/i5dLLsvPFwcVvPhh+IM3gMH4MYNsQg+84xjbXYxXr//dUL0vhzyjuPx1k8aqZ3SID4jnikdppCek8611GvUqFSDrVcFdzyl5ZQi71Or1AyvP5x1F9YhIzOh+QRbPkqZwYpTK3h116sEeQbxzSPfUDuwtkP761CrA4fiDqG/8y+qshXyInfQVtOWesH1OJ94Hh26AnIeroTbOYHtBmepgd64ISZ/w7UFC6BNG/E6NFRo5Jw6Ja7l5bmno3PpUti3DypXFguApXIObdrA/PliccvNFYvAffeJnVdJR0WWYSewpywzudZAHqxfjWxPSu1gfG/Pe3x3TlBmk1pMYk7vOahVasbfGk98RjwdwzsW6+B9utXTDGs6DLWkpqJXRZulFtzdCZypzeQ/u/4DiMSuiT9OZPmQ5Q7tu2/dvlT0qciluEt0iOhABc8KFjuB7y7fzrjNqqGruJBwAUmWaBDSoMjvt7w6gZ0PZ6mBenoKjtjwZN+4sYn+MNhQsaL1faxfL7Jcw8Jg3jzH0BytWgntGxCTv7W2duvm/nkAt2+LnUtAgDii09fXOjvU1klB6PQ64+QPsOT4El7r/hoqSUWbGm0slk6I8hVPpPaQWiiq7C4UkDpXjRlUWCWHUdryhGoTihxja8amcoXKJX5f5TUPoPyiYkURQdOqlXCmfvqp/dqOj4f//ldo0//1F8ycWeItToMsiyf+PXvcj9YqChkZgob79lshIT18OGzdWrgfoxjoJUj2Er9LC5WkwiPfc1eQKqj0jdxjCPQO5NVOrwLgiScL+i1wsUXlB+V3B+DMA2EiI+Hdd8WTvyFXAGynOW7cMP9M8fGW0zOOpls+/FBIKAOsXFl0LoQ7UUAnTwpfhwFHjsC4cTBsmPDXWNiWXgWpadFcyLnK3ymXqFmpJg0rN7ScAur5Hgv3LxRhnJ1fIikrqQClYDiIpX5IfZdRL+5CAalVakY2HUnXml2pHlAdpNLTbmVlbBQKyF5w5YEw2dkiN0Cttq3vwEB4+GGhT69SwWuvuY/swurVprE+eFDQYIVF/uh0IrIoJUXkGLiSAmrTBmrVEgurTiTpIMviyM1ZsyxuSyXBX7cO8sjP41GpPPDEkwMTDxDiG2IRJdC3Xl9GNhNxEwZKID+lEJ0WzaDvBpFJJv1q9+PzgZ+7hHpxFwrIXexwhk0KBVSWodPBE0+IiaZJE7hypcRbioUkiZ3FqVMi4apzZ7uYaRc0amQqG/wchWHsWCGrPGIEvPWWc2wrCp6eQvHzgw9EJJcBrYs+4KQobDizAR16csklgwz2XNtjNzPn/DaHTDIB2H51O0eij9itbXsiR5vD9ZTr6PQ6V5uiwEqU3x2AK84E/uMP2LFDXEtOFhPevHm2t6vRCOrCnaQgPvwQPv5YOFWnThWf9+46mZkiCgrE4rhsGTzyiONssnQsH3hARGht3Sp2WWPGFBu1JMsy/6T8Q2ByDoE0QK+CRt41kGQweA+q+FWxSZohP6XgqTKdhKVDR54uzyWUR3E0x/WU6wxaPYhccqnpW5NPHvqEyJDIMkW3FFVOzk7m5/M/06RqE5pVa6ZQQGUSjpKCKK6cmmqiNkA8GRclE+HMsiNkF0JChHZ+QoIoF1YnOFi8NiTENWlikohwtRRE06bQvbvJDh+fQuvptXk8tn0ye2/+TkAWLB71HV1qd2VM54kkaQL48+ZR+jbsS8dwcRSmPeQO5vSZQ+yGWM4nnue59s/RoWYHEjITbJZUkGWZo+lHydJl0aJaC3QVi66vVqmZuHEix2KOMbjBYN7u/TaSJBnrbdi3gVzEUYc3s25yNPYoraq3ssk+S8bG0dITapWaAd8OIFGbiITEh30+pHut7k6zqUwmgrklHCUFUVy5QQPxNPn114Iief75omUinFm2RO5g2TLxRHzffYIPV6ns0/d33wnKJTQUnnuuzElBnDu3j5NXfsdDBxVSYdH2t+k0ci1Zabd5ovkYHmsxhpjUGFKyUyhMWuDQzUPM2jELFSo+fvhjGlVuVKLcgcZfw6rhq4wiZPmlAiyVMiis/ObuN1lzQShjDq8/nKdbP11k/VUnVrHnpqC1VpxbQYfaHegc3tlYz8fLRKHp0aOSVEWOQVmSpLiScoVkrdD6kpFZ8ecKGoc0dppNZVIKwi1hrRNYrYZnnxXnA48fLwTc4uNFewEBJbfzzjvicPmyJHewezcsWSKefC9fhpYthS/DHn0HBYnD1g3XDXkGZWRsAmrVI+WoRJZexkOCJlUjUAUGUdEb9H5B6KWiHXt6vZ5+q/oZVSFf2PICRyYecZmj0zD5A6y5sIZZ988qsn6ObJKbEEMimclT/F/H/+PirYscizvG8KjhDG00tMw5XAsrB/oFIiHie1Wo6FS7k1XnNyhOYHfDgQPQvLnY+u/dW3S9uXMFb52cLJ5cx40TR0Q2bgw//ug8e52JmBjzA9ENHHh5QEwMTJwofq5eLfXtNQJqsKDPh9T3D6dbWAfe6/2exfdq9Vrj5A+Qkp1S6v7tCY2vxlgO8w0rtu7k9pONR0JGBUbRu05vs/d9PHyY338+J549wavdXkWSrEiKcENUr1Sd9cPX81Dth3i548tM6zyt5JvKMMrvDuBuJ/DEiabQv0mTTBE1dzsJb940b2PbNtPr116DH34wr19cuazIHbRoIcTd0tLE6z59Sn+0ojs4pu8ux8ZCr14Y8csvcPSoKJfCjuGaBxg+tKe4nqtGm5xEelo0ub4yWhVFOvYSMhOYdN8klpxYAsD0LtOLlQBwtKPzi4Ff8ObON/Hx8mF61+nFOpY1/hr+ePoPErISyMnNITMvk4y8jHIVcy8j89P5n/j66NeE+IQwpcMUmoc1p25wXZ7v8Dwafw2pOamKE7hM4m4KSKczfz8oSGz17976v/yy2CFkZYmzgU+dMt1TrVrp1DzLCM1BVJRIirpwQVyLiHC9TfYof/01ZsjNhenTRXjuk0+Kz22FHSoJiyggCYnXerzGpPaTSM1JNQqYuYrmCPIN4suhXxqvWyJLEOQb5FC5CUvKjhqb9Nx0Xv1VZBiTCll7s/h57M8utUmhgByFN94wlV97TfwxF4ZGjYTswvbtQvJ5+XJxUErTpkLfv7yiQgWxEzBEwpQHBAebv/byEju6CxfgP/+Ba9esblouBeMR4htCoHeg1X25C3R6HULYt3wgNSfV7PWN1BtF1Cy/KL87gLspoA4dxCEmsixCF0uSVADhB2jdWkgd3C3z4C40hyvsuHhRHPxSq5ZYOOxpU3y88LtcvSrOWpg923pbH3xQZCEfOCAc2zdvmk4wA/E5goML2vHjj8IP1KQJ9O9foF2tGqJzo/HxBZ3k/jSHzTalxPDG7jdYe2Et3nizatgq6ofUL/MUkI/ah05VOrEvfh8AT7R6wmJlVYUCcncUFwXk7S3Ksiye6nfsgB49hG+grNEczrYjLU1M0OnpglabP19QKfay6c03Tc7a//1P6PRERVlv9wcfmMo//SQivCRJnGHQo4fYFeS348IFcSIawG+/mWjBfO2qVOAry/j7Wbfd3//vfl7Y+gKhvqHM6jHL7eUOzrEkioEAACAASURBVN06x/oL6wHIIYcP//iQH0b8UOYpIIClg5cSnxmPv7c/vh6+LrdJyQNwJrZtE1LLIP7wQ0OFs1hB0fjzT5HYZYga+uEHoappC3LyhRzmVxaVJPsqjXbuLMJ74+IEredRyH//CxdEv7IsPuPp04U2JVsZ9ZKem86EnyeIF0nw0paX2PbEtuJvcjHUKjUyJurHQ11+pg1JkmgY2hAQPhGAPF3ePSNvUX6+ybvx559i+56cDK+8IrI+wZwiuHzZVF+vF8cjWqO2eS9RQMHB5iGj4eG2KZR++aXIKAaRODd+vHjyTkyE++8XvpfS0G4llTUacbZCTIyw4e6xadxY7Apyc8U9PXoU+HxaD4iVo9FLpd/ix6bHkh//JP1TqBqoO1FAlTwr8UyzZ/j81OeEqEOY3rnoaKayRAEVVl5xcgVzD4izgOf3mk/vur1ttulywmUSsxOpHVSbPG1eiZ9VoYDsgXHjxCQCMGeOWAzupggefVQkKWVni4lg8GD3pV7cxY6gIHGC2Pr1giMfM8Y2mwyTP8DChYJuOX1aaAyFhorrKpXzxiYoCHbuhLNnoX59cUraXfd4qKAaEGDFFj/QJ5BeNXux699d6NEzrfs0t6eAJCRm95zN7J6zXRIR5KyxydPlGSd/gDd2v8GIJiNssikxK5Ex68aQLWcjI/PtkG+JqhpV7GdVKCB74G7qoLDohcqVxR/72rWCKx45Ev7v/0QmrzvhyBHYv19EKOWPa7cG27cLjrtCBSH/UKdO6dvo3FnIVIPpXGRrYXjaBrEIG6gVtbroexyNoCB46CFRtvXz3UFSVhKJWYnUCarDgv4LuJ11m0relfBR+5R8s4JiodPrSMlJIcDbtgi2uyddL7WXTe0B/HL5F1JlU7TRutPr6FzLfVR9y+8CsHQp9O0r+OXnnhNx/YVRFSkp5qd4ffihWAiSk011XEm97NwpFiUDli8XkUnW2GGIfzfgySeFo9WVtNSbb8J774n3Xn7ZvhScg76j0lJAu6/t5vlt4iDwLtW68HqP19EEaJCRjclY7kwBubMdF25fYPi64WjR0qlqJ17v8brV/cWnxzPvgXm8vvN11KiZ13eezYl7d4f/BvkFFRtppFBA9kLXriKaxJAAlpBQtEJkUJCQLjYgNFQ8mbqDCmd+PwUIeuSBB6yzw9/fvK3kZNeplRps6tsXRo8W7xX3HbmRUqqHCkLRWqzwuOjAIuOQ/xH7B8m5yTTyaWRWx5mKl+6owmmtHZ/9+RlaxG7/YNxBLqdcJqpalNX9jagyghFNRpCQmUCIX4jNY9Mnsg//6fgftp7fSsfwjoxrNU5RA3UK9HpxBqwlaqAffSQ07VNShJhbRobjlCa/+EI8iT/4oOCYU1LEgSnnzwsH6MSJ5vXvpmiiokqvMGqwIy9P+D0MchbTp7tOrdReaqAgaCMn2qH1gNtyPCq1ZQqPlX0rcyFF5B/IyGh12gLKmc5UvHRHFU5r7TgRc8L4p6FDV+jYunpsekT0YHSz0cYnfW8P72LbVdRA7YHSqIFGRYlkIYNSZWF17OFg/OYbcRg5CF2aVauE/+Gvv8S1JUvEwhAebmqrd2/YsEH4ABo2FE/MttixYIGgWrKyoHZt+31WW8fGmra++Ub4blQqcTiNPfMRipOCUEM12XIn8OKBi5n4v4nEZcUxo+sMmlVr5jJHZ34ZhGup1wiuEExYxTCXOl+tdQLn6HKIy43DAB986FmnZ5l2TCs7gPKMkydNZUkST/2Gw1JATEbp6QXva9dO/NjJIUm1avZry1XIyhKTP4gJfOZMGDLE4d3qJUj2Bn1OyXUNqOxXmWVDlhn/2A3x5q5CcnYyXb/sSlJuEhISGx7dQN2gui61yRpU9KqIhIQhR6FhSEMXW1T2UH4XAHsfCanVwokTggdu1846B2PPnoJ+kSQx2UdGirjz338XkTDt24tDZewZ916YHa7KR7CnTTl3zcA5ObblI9z93pEjIlpKqxULTbNmEBODXgWJskx0Rtl1uB6NPUpCboJx6Ab+MJDJLSczqe0kl9lkzdho/DV81Ocj3tn1DmH+Ybzb+12nHZ1ZmE2nYk6BBFFVoohPj7e6XcUJbA9YeyBMYWVZFnkFx4+LCWHBAsGll5ZeePBBET8fHQ0dO5okKS5ehH//NVEyarX70S3uSAE1b27aVeXkCB9HlSq22wEwcKDYZQBMmSJoOklCFRhEoB/o1GWDUiisnKPPQYUKPaaEvsXHFjO+zXhC/UKdZpNapSYzL7PQA1csHZuhjYfSs3ZPs92VKyig7Ze38+SmJ/HAg8YhjVnxyIoyQQHdO2qgtuDqVaEjb8gtWLjQ+rYaNBBURbVqpmseHiIaR0HpkD9yC0w7J3vAMPmDOU3nACRmJfLJoU9YfmI5ebq8QutcS77G6r9WczHhos39tQxryYI+Cwpcz9MX3rcjsPXSVhp92ohWX7TijV1vOK1feyE9N50B3w6gydImPLbuMT7aJxIatWg5m3CW03GFS4i4G+yyA5AkqS/wMaAGlsmy/N5d7z8BzAMMp60skmV5mT36LhKlpYCuXBHHP2ZmwquviqQrQ528PHP5g1q1LDswxV2oF3exw942DRsmsrwlCapXFzIPpT3Ipig7pkwRWeIgIsTutKtXQbIdKaDolGgeW/cYt/JuAbDj7x0sHrjYrN7FhIsMXjsYAxb2Wcj9te+3qe+etXsyr+c8ZuyagR49j9Z/FB+1j1ncuyMpoLd3vm38PGsvruXZ288SWiHU5fSYpeVlx5Zx9JY4XOjXf38lKjDK+Hm0aJFl2WJl0TJNAUmSpAYWA72AG8CfkiRtkmX57F1Vf5BleYqt/VmM0lJAL79sUqF88UU4dMhUp2FDEa0zb57IHp47Vzyx20pzaLWwaZN42uzTx73pFlfYlJQkvovERHj/fejUybzOqFFi3GJioF49Qf/Yy47//EeE5SYnQ926xuv2poASMxONkz/AkZgjBeodjTlKfpyNPcsjjR+xue9+9foxoukItHotGbkZDqOlriZf5c3db+Kj8mH+Q/OpXqk6Vf2rkpJq2lmF+YdRyauSy+kxQxkZvj31Lb9e/pUedXvwXLvnzOp4q72NtqtQMbTZUGpdr8X1tOu80OEFWmpalgkKyB47gLbAJVmWrwBIkvQ9MBC4ewFwbySYnGLIckEnY8eOIms2KakgXXPrFjz9tJiIpk4VoZuWYMYMkemr18NXX4lFxyCFoNcLqerjx2HsWNF/ecMnn4gcjMhIcXqXz12yCOPGmfT7R46ES5cKthEZKX4cEdUUEiIWiHzQ2vnvMsg3iPAK4VzPuI4KFffXvr9AnWbVmhnLKlQ0rGq/aBeVpMJL7UUGGXZrMz/ydHkM/X4oOYi/p6c2PMUvY39hQf8F/GfHf0jMSmR65+lU8qpkUXvXU64z45cZJGQkMKfPHFprWjvE7g3nNzBv/zx06DgUd4iGlRvSq45JhuXJlk+y6e9NnEs6R5uqbRjTfAzDGg9zm0gvS2GPBaA68G++1zeAdoXUe0SSpK7ABeD/ZFn+t5A6SJI0HhgPEB4ebr1VpaWApk4VqqEg5I2Lko4orPz88yJqBOCll0R8eqtWJdMchskfxGEl//wjdi0xMULKwkBBbN4stOy9vYu3oyxRQJcvCwkIEA7Wl182jb+hXn5OX6cT1wxhsi6gorTxsdzwl8kEu1EKsWmxrBq2ip/O/4S3hzcdqncoQB00Cm3ErC6zOBl9kg61OtA4tLFV9IIrIpOuJl01Tv4AVxKvkJiViJfKi9XDVhvrlySPYLDj2U3PcildPAgM/mEwx8Yfszriprjy2eiz6DBJQp+JO0OrsFZmNq15dA3RKdFUD6hOZl5m0e2mlGMKyEL8BKyWZTlHkqQJwDdAwUcdQJblz4HPAVq3bi1b3WNpKaDHHxciZz4+4mfNGkH9dOtW8r0G3SAQE4qPj2U0R8+esGuXqFO9uvAtSJL4+ftvU5uenuKA8w4dyhYFFBAg/CobNkDNmiICynCmskGK2SDVkZtb8Lzl118XuyQQ30+tWo5P1ivmHpVKomKlIHxU9qcdXuzwInpZX2QUy/Co4UxoPQFwXaSLNW3VD63PoMhBbLq0CT16pnadSrBvsNV2xGWaEr/06PH5f/bOOzyqamvjv3NmUkmZSQIJSWih916UJiJSBESQImJBsXGVz3ItV6/iVS+2KxZABAERQRSQJqggICpNmvTe26QQUkmdOef7Y2dmkpBkZpJpCXl58mTNmX32WbMn7H3Ou9Z+l9bfZhZReewxbcew4sQKy/GRrUYW8dvesXnrt7eYtW8WYT5hLB2z1K6Mp8pGAV0G6hR6HYs12AuAqqqF+BXmAB/gjdDpxF32LbcIOWKNRmwwslXw5LXXRFooiLoD5gCyLXzwgag7nJ0NAwda6R+AMWNg0yYxOQUECJ8qG/78U8Q4QKS5fvABvPmmeN2hg/jMa9aIz/fvf994/rhxgk4zGETKZzUqJaYPns6TiU+SZ8qjY3THCvX1XI/neOuPtwAY2XQkwX7BLqFbGoc3ZucTOzmadJTYkFhigmMc7uP41ePM3ifqiF/Lv8Zrv77GnGGuzX1xFM5YAHYBjSVJaoCY+McAYws3kCSptqqqBc/SDAWOOuG6ZaO8G8ESEqzxAJNJyDX06FH2uS1aiLvcgACIjRXHZdk2vZCUJPLNzccLU07dusGiRWLz2aBBns+4KY+dmVlUljs310rraDTw7rvwyCNC70ijKXkDnFYrflylEurA2CiJ8aSHqOT4FKWA1p1cx4rDK4gJiWFs27E0Cm/kEbrFGykgsx0TEmOT6rHHj1EtRtE1uisXUi/Qo14PlxamiQ6JplWtViX6bc/YZOVnoWIlMUxGk82NapWOAlJV1ShJ0tPAOkQa6DxVVQ9LkvQWsFtV1dXAJEmShgJG4BrwcEWvaxOyDEFBVgrIXrXH2rXFhJNfkBPdp4/ILrF1blycCBoWPl5RNdAePcTTRPF+HbWdoUpaHrtZM5GquXQp1K8vKB2zyqrZp5LGzZ22I2OjmgiqocNftqo3puSk8M+NBfUj4iE1O5W5I+aKUyuh8qY3+lTcjzZRbYgJiUEXoPMan0pqFx4YzqSOk/hsz2fU8qtFr4a9mLplKiPajmBAwwFVRw1UVdWfgJ+KHXujkP0v4F/OuJbdUBTrHagjao/R0UKu4auvxAR2//2eV7z0FuXN8thvvAGPPSbG1XxH7WmfyjE2igSpaUmkh2vI02BRbzyedLzIn93BhIPlUqP0FuVNb/TJW/woj0+PdX6MwU0Hs/PKTv69WdCcv1z4ha+Hfk3toNrVaqAuQ0WkILp2FVLN5uNabeUKvnqrH97okx1+GLQ5zD/wLQEaf+5t+QRBGq0laNcltguNghtxLuMcCgqPdX3M66Ug9AF68k35vLztZbZd2sadje7ktV6vedwnbxkbV/h09mDBHqOC1xczLtIxumOVCAJXoxo3Qi1/Apc3IdeYyx3f9iMxVwQa9+Sf4/2BH1re18pavh/9PceSjxFZI5KooKjSuiqCzec2s/fKXtrXbk+fBn1c4ntZ+ObAN/x0Tjy0Lzu2jBaRLXisw2Nu9+NmweDmg/nq4FeoqPjgQ98GfT3tElCVFwBnq4GWx/aW/Ht3+nHkiAjsZmYK6mfSJM/7VIGxSTi1n8DkFNpdg6MR8OuJdbx827+KBPCSs5JpG9kWFdUuNcofjv7Am7+/iRlLRiyhdWRrtwaBkzKtu48VFAxp5Qt0usP2Fj8q4lPjsMYsH7mcHZd20DeuL0G+QSX+rVS6ILDXwplqoDcBzeE0+6WXrJu1vvxS7GIunt9ficamtkbHr7PFuvB3JKz83yCH89iL26cTi5b5PHr1KD3r9XQrzTGh0wQW7VtEsjGZOjXq8EC7BxyiOS5nXCYtN43m/s2RJdmr6BZvpID0AXo6x3amUXijKrcPoBqVHefOiYpaEREia6ciKCadUGRvQyWEz/IVhKpgAmrmw0tpdu7xKAO31L+FRUcXWeSYu9fpXuE+HUV4QDibHtmEgkJEYARpOWl2n7vs6DL+75f/A+COuncwf/h8F3lZDVej6i4A1RSQfX5kZYm9COYduTt3isWgvNd79VVB/aSkwMSJ4imspPx+T46NyST2e9jjR2AgEiJ/+WoQyBHBqBXMPW+kb8TsIbM5aDhI44jGRAVFkZqT6naaIyEzgeiQaFJzUh2iOaZsmoIZGy5s4EDCAbSS1mW+VgUKyJF+qykgZ6CaArLPj+Rk6+QPcPBgxa7XsqXQ9rEl2eCJsUlJEYvd6dPQqZPYn+DvX6IfM05+z7KDS+jTrA2vPfgA8o5tRI0ZROiAe0CSKkwjtIxsSXRQNGdSzhDoE0iAT0CloTkahTciwSAWUBmZ+vr6KIriVXSLp8amNFuWZX49/StBvkG0jGxZZr/VBWGcjVmzoFUrMTnt3Wu7vaqKSlOF9XiqKurVE8VpzNo89tTVPX5caCVdvmy7rTdhwQIx+YMQ71u1qsRmWy5s4/2tUziQcpzFJ5cy/Z5YUv/6A2XiE06jtObsncPgxYN5+penGbJoCCbFZPskL8H0IdO5o+4dNA1pyqLhiwj1C/W0S+XGkaQjrDu9jqz8LNuNy4ns/Gxum3sbL6x7gUd/fJR5++a57FqOouo+AZgpoKQkeEtoh5CaKgp9fPmleF0aRfDSS0KjB0T7oUPLbl+ZKSBVhc8/FwteeLjY/FaW7MKOHUL62tzvvHlC+bQyjE3xCmLZ2eJvopgfyWeOE5xtQmOCkHRIvHKaa1nXbBeBMRoxvDoJ1m9B7doNwzv/gpolt5+5Y6YlBnD42mH2x++nrq6ux6kNe2iO6JBoPh70scV2pRxDWX5U1P7h6A9M/n0yEhLR/tHMHjobwpzv05YLW0jKTUJFpEZ/s+cbhjUdVk0BuRRmKYjCpf3Mx8uSdtBqrZM/wJw5YsLzVgmGo0fFnWzXrkK2ojx+xMVB587CTk4u+3qbN1vHRlHE08Dtt3vn2BS3n3xSpKnu2yd8vu8+obRazI/enYbiH/8NWTnXyNGYGNj3MYJq6Kgl2ZAK+P57TL/8QWga8Ns2TMs3Efp/z5fYvn3t9vx87mcAfPChYXhDavjU8LjsQmHbW6UgnNXv9we+BwriITkJJOUk0ca/jdN9ahvVFg0ajAhdrJ71eqLz11UdKQivhFkKwsdHSBJ/+qlQ+pw8uext/5GRQq8mL0/0ExvrvRIMly+LQvMAM2YItc127VzrR+PG1jFWVTFeaWneNzYl2Tk5sHCh9ckgM7NEP3TpuWy99ydOJp8kMs+P9BoiSGtTKuB6KokBoM0GVQOJaiLaUmQhJt8+mdCtoZy7do5JPSahqqp913Cj7S0SDK7yo1l4M46kiLpVRoz4a/ztlvFwxCejycii4YtYfGAxOn8dT3d7utTvuloKwlkoHAR+6SVxFx8WJt6zFaD88UchXKbTwTvvQGCgdwaBf/1VTFpmxc2dO4VyqCv9ePRRcbd85AgMGSLoH28cmwr64a/X07JWbVKvpxAUrCdQsiNIeN+DSMu+R594EurWRRr1RJntPxr0kUXbvyoEOiubHx8O/JCQjSEYsgw80fkJmoQ3cZlPLSNb0qNeD5u1HKqfAFwFR4J3rVoJbrtw9og3olMncTdrRk6OCHLHxkLTpq65piSJ+giOjs1nn4nyjzVrCrG9uDjX+Odk5GrB7r+cwBqwfAWovhAQCDmpts+phsfgr/Xnn73+aZmEZ+2exZzdc2iob8h/+/3Xcrwqo+ouADfDPoDoaEH7vPCCOL5mjfgB+Mc/RMqjO/ywZf/1lyjqDnDpEjz3nCib6eUB8hwfOGG6QkSAgwHGkGjUnFyvCHR6Y/DVG/04m3KWt/4UySJXsq/w2i+vMfOemW73qToI7CzcLPsAgoOFXfhJAGDuXHjqKe+gWwr7AOK3TufVFJASpifLHyLyqNQ0R1XwyR1+nEk5Q2Gk56d7xKfqfQDVcAw9eohFwMen6PF69TzjT0lo0kTUVQARYH/7bc/6YwOKBEZZ/FTj5kC7qHZ0q9kNAA0aJvWY5GGP3IOq+wRwM1BAZvurr0TNXZMJ5s8Xd7KvvVa0/KKn6ZaXX4ZnnxVpptHRJebfe8N3pEhwNcVAeqhKTg7upzkSz8KUz1D378UweiA8+a8qTb04y49N5zZxPPE4rSNb06Nej3Jd76073sKIEX2AnoycjDLLV1ZTQN6Om4UCAhHw7SbuXujfv2iA1hsooMK2n593+VTMD6MG0kNVAoPDCMQDNMf3n6JfuwHyQPp8EfouQ6F7D5vnq6qKqqpO98mkmJi8YTIrT60k0j+St/q9VaaUgUvHppR2K4+tZPLmyZaNddse2Ua90HoVunaKr+1snWoKqBo34vBhGDYM2rSBjz66kZuvhuO4fh2mTBH7OY4ft92+HFAkyNNAqh/kah3IGHMi0nPT2fH3WpS8QgevJts870DCAZp/1pw2s9rw7u/vOtWn9WfWs/zUclEzIMfAYz8+xoH4A6w5uYZFBxZxNOkoAxYMoMsXXfhizxdOvba9+PPMn5bJX0Jir6FkuRdFVTh17RRpuWnudM+rUXWfAMqigJYtg/PnoXt3K1fuDEohJwfuvNPqw//+J55CzHfnXkJzeMyP8vr0/POwdat4vWyZ2O8QEOA0P4yKiWtm2gf30T7FH/0fX/E4JxsZaLIT/I1wrUkM9OpsU330+Z+eJ0PJAGD63ukMaDIAX9nXKT5dzbpKcby+/nV2J+8G4N1t1gXn7T/eplNUJwK0AU4fm7Lolg4xHVh/Yb3ldZwu7gZ5ikuplxi7fiwHrh0AYN6QeXSO6ex19Fg1BeQslEYBrV8P//mPaLNggUhHbCkeaStMKRSXnQBroXkvojk85kd5fSokynchCF7dMIlcPw3/6fgsLfTl/+6UMD2KRibVRyFVpxIU5F7ap7AtSzKnU08THwa9noA6OTDzkc/R66Ntnm+ecM0IDwwn2Df4hvb74vfx9sa3idZF8+btbxIdEm3Tp1EtRjHrr1mczrAWsTmbcZaSoEGDj8bHZr/FbVtKorbolnFtx9GsVjOOJR6jS2wX2ka1vaHNzss7OXLtiMXXObvm0L9Rf5fRUtUUkLdi926rrShCBM1ZqF0bWrcueuyee5zX/82KsWPFE4NWy2PDYF3SDjZd2sqDKx5EdYBiUyTrT5YPXPMXP3kayNc4gfbZswtefgk+/ti6O9sBPNn1SQC0PlpqxnWgblgDu87738D/EekXCcCLt7xI3dC6N7TJzs/mnsX3sCNxB8tPLOfJVU/a1bePxodV96/iq6Ff8X8d/4+5Q+daJk6AAALwRTxt3NXwLtpEtrGrX4A8Ux4jF4+k7ey29JjTg+Rs23RXaegX149nuj1Dk/AmJb4fERCBCavianRIdLmvVZVQdZ8ASqOA2rcv2q5Ro6Lql9evC+mH8lIKCxYImsJoFLIMYWElF0TxVrrFG30aMkR8b8nJ5O9/kaCCBy2fjGyMyUn4yNoy+1EkUIDUawbwg3wNnFCuEJHnxEf5+HjUMcMwSIDpJ9ScaxgeGWN3PxpZwz3N7iHcPxytRkuX6C7EZ8QjS7LN86NDotkwfoPFLkmdUyNryMMaXDiccNhm/eLCY9M5ujOdojthSDfwUo+XqBdajzPJZxjfaTyRNSI5k3KGphFNSclJsXvM/rryF9vitwHiqeLTLZ8yus3oMv0o73cUoA3gjV5v8OXOL4kNiuW57s9VSMW0mgLydpjVQM0UkFntsX9/QfucPg09ewppgtBQQd8884wIMtauDd98U37VyZEjhbSyJxQvvUV509k+NRelGAcHneKTk7NBgjsb3o1PWAQARtWErBPtFdUEemHnySayIkMxypASYiQ0SBzXZRudqzR58iiYfDDl5ROaB+zYj2nSJIcVL7vX7U54YDgAkiQ5Tf0yLCCMnrV78qfhTwAmdZ9EraBa5VK8DA8MZ2LXiSRnJVfIV52/DhnZEsAN9g8u0SdnfUcTOkxgQocJRfz2NoXSai0gZ8GsBmp+AiisClm7dlENe61WFDgxZ5gYDDB7NrzxhmjjrWqglc0PJ/g0qfG9DGzRH6Mpj2ZKGEp6GkYZrmQnEpgr/pzTcxNR0GCUIUGTSC2jUFw0ZCei+LhIabJZHGpEEIm5KWivgzp6mFcoXha2pw+ZzrrT64jTx9E0oimGdINHfepVtxd96/Tl14u/0krfilFtRnm1Kqk7fKpWA3UWHN0HULNm0fOjoqpO8NVb/LDhkyIXsjUSsq6obZThkg7Cg1oAcP76NUJqiDa5oeAfKGxTAAQXHFclNwbzft2CtH41+iZtoG07JBvKjy7zowx7UONBXuXT/HvnF1HILCn/3lskKdzhU/UTgKdw992wbp2QWO7aFcaN87RH5YeqiieYX34R1cwefbTcXSkFsVFFBrkctiKBUQvagr9ni13stSJBSgBIAcJOA0IDRZvCdjYS/gXn5moli1yDUbb66hYJh/Nn4aOXwEcLLzwNDfUQqoPBQ6DgP3VVgaIqfH/4e66kX6Fvg76WScvboVVAVl1jywBqKe+p4GdU0RZIXzliy5L1/5A74JQFQJKkAcCngAaYo6rqe8Xe9wMWAB2BZGC0qqrnnHHtUlEeKYhJk+C996zHAwMrTfBVkYStxMcjr10Db72FAsg7d4q76t69xHuF29mwjYnxZPqJCTUz8wpBfuKS9to1/CHFX8WAgShEsCuhwDZXSDK/VlUVQ76BqNyCoFimgWi5BNtb5A4eGwtnM1BlMJz6C1Zt9IwfbpBgmLJ5Ct8d/w6AqTumsvWRrQT5BlXoGglpBmRV2Ik2bAvd4sg5iormigG5oASIT/IV5HDn2bJGCybjDe9pw0CXC2Hx8chRYiZ3yNZqQatFDgyz3jW5EBVeACRJ0gAzgH7AJWCXJEmrVVU9lf6+iQAAIABJREFUUqjZo0CKqqqNJEkaA7wPjK7otcuEh6UglDArzVESneFM26iVyKwlKJJ0HYT8ngi+kK6BEAnklHiUmDDxXgE1Yq8dFCTs/ABQAh2z1UA9IRKYZInQACslE1roEdr82vxepXiUVxSkcxnoC5JqpNMJXkspOMOnXVd2YYbWBNeuX6V+SF20Cuj8xTkl2j8sQ/vxe+jqNIZp09AG1Ubnr0dWoaaPhF4SdhwSWsS5JdsyoNjRrpAtAzUk5ILPFBaEc+2C/9s3vBeoRw4AVKDg/6fsiC3L1h83wBlPAF2AU6qqngGQJOk74G6g8AJwN/Bmgb0MmC5JkqQ6ksRdDhSmAkqkIVxk5/lAlj8oGlDU0umMsuzL14+QnJ1Mc31TIuxoH1zwTeZqJYzDhsKMaeT6mjCafJGH3YUiF6VM7LUDzbRKfg7KvDlgNGG89y6UgkWiOPVSkl3lIMswYjCsFDV9Gefae5nywB46wx46QlFhWP0BTN/3Bapiovl1f3oENCVo3wkiUlORu3QBICJVsmwqikiVkC9dggn/R4QK8iEDPP0SEVM/sm48yga54GlRa4SCRKBSbRT72hU/h4LPKttrr/0J3ngDOTRUSKrXr19y+4Kf0vqqLHDGAhADXCz0+hLQtbQ2qqoaJUlKA8KBG/eZOwlGFC6o6RgL/iWUQEO4zFYN1CqcY14anVGK/cXuL5ixdwYATYKbsGzsMiRJsq+fdAPERKNu/gXDvi3Q8TY0NUMxViDnWUXFMOlR2LpfME4/L4TFq29oczHlotiYJdmWU/AWyqPcfrwyCUYMR9VqMDSoDWUoR7rKD0ktP/2hVaDuxXi0kTboCKORd0Pvpmf7elxONzAitBMh73wAc+aIyfyhh+Cf/0Q2GAomXFXYKSligqQA584jX7piaYPBUDCJeoBKPXdOpBbLctHjJ0/CY4+J1waDKCO7ZIl76d2CDY+EhbnlKcDrgsCSJD0OPA5Qt+6NOxrthSzJBAWEoKhKiVSDq+2KPNYvObjE8jlOZJwgPS+dBroGjvVTT49UK9J59MKf+9FfFz5Ju8+g9xO5/BISOn8dL697mUVHFxEsB7N87HK7ZAa8gfKokB89C1QxHcj2Ka8fxSmWMD89utyK0R9yLWzTEYqCrMLdzQskN1JSYE5BbQcQe2r++98b6dDmzeG222DzZtHPG2+UXxLFmVlsr74qfPb1haVLoWFDaxvzvhMz0tPFROzOzDo3U0DOuMploE6h17EFx0psI0mSFghFBINvgKqqs1VV7aSqaqeaxVMzbxI0C29msSUkatYofRyMipFDiYd4Y+MbfLbjM3KNua5xqlsX8JfAD2jXvMgf6OGkwyw+uhiADCWDyRsmu8aHmwAlZZL4GyEuTaJWFtTKgkapEhHZ4GsS72kVLO3MduF+SrPLjVq1rHZ4uJi8ikOWYeFCUaL00CHo3bsCF6wgsrPh1CmhKbVggTiWlydqZhRGZKSQHTHDrBlWheGMJ4BdQGNJkhogJvoxwNhibVYDDwHbgXuBTa7m/xVVIT0nHaNq9BjVoJE1HE86ztoTa+latytdY7radf6zPZ4lfF84iRmJjG47mnxjPteMN1I4R5OOMvaHseSTb/ncO8/vZNrQac6nWz54A9ZuQTUqGAZ3L0J5ZOVnWXZzFpzgkMyAu78Xb/PDnOmC0WihbopTNPLlK2DCSrEUplJwkV0azTF7trjrz8oS1d2uXSu9L19fcadcVhtXUkCXLsHw4cJXnU4cN8PX90aZlldfFWnTaWmikl1pfldTQAIFnP7TwDpEGug8VVUPS5L0FrBbVdXVwFzgG0mSTgHXEIuESyFLMiH+Vgqo+KO1zl/H8mPLOXftHOPajSOyRqTdj+xrTq5h/p75tIxoyYcDP8RP61di+/Np57l36b0YMTJ3/1y+HPIlXWO62rxG04imzBgiYgApZdALU9ZMKTL5AxxIPOAauiVCQv9ke2GX4NPzXZ5n6s6p1A+qz4eDPiTUL9Q7KaA8GVJTkGrW9jgVJaviLr6urEeLLKKIhaibwhQNKl6xWc9ir1xpLTjkST9s2V9+KSZ/EJP6oEGwYQPExsKnn4q2xc/V621/tipCATklBqCq6k/AT8WOvVHIzgFGOuNajiDflM/UbVM5mniUEa1HMLDRQMt77/3xHjP3zsSEiXl757HryV1l9GTF/vj9vLrxVRQUjqUeI2ZbDC/3ernEtjsu7bDYCgrrTq6ja0zx+Hj5EeIfUuS1hMSIFiOc1r8jeKH7CzzS4RHLJJeSneIRP8rEH3/AY/8Q9h09Ye634IFMJR+Tiq9J5ItHpEloQzFnOhbJXKmUUFWho3XiBIwYAe3aedYfM0WlqmJSHToUPvjAOvGmeOHfqRvhdUFgZ0FRFSZvmszcA3MB+Pncz6wbu47okGgM6QZWHV1lkYdNM6bxt+FvdH46oOxH9mNXj6EW+h96POl4qaqCjfWNMWKVBW4f3d4mNeKI/dwtz3Hq6ilOpJ7gttjbGNpqKM30zW6oZeoNNEdx2yM+TX8PFPHtGXb/AQd2oGnW0m1+yKqY/HVn49GFS2hNBY/+CpVfsdVsf/stvP++sFesgBkzBP/vqQ2VQ4cKyffffhNUUPfuzlHnraaAvBuyJHMk8UiRY8k5ybSo1QKTYuKuJncxa/8sVFSC5CDaRrUlOz/bpmrfgEYDmL93PoYsA0aMTLxlIjp/XZE2J5JPcCn9Eu1rt2f16NWsPryaLvW7MLDRQJKzkp2iHpiclcyGMxt4qOND3NHgDmoFicBcQmYCL/z8AuvOryOuRhwrH1iJ3k/vEuXCitiuUlMs0w6PJdR0AUxgug6hNesi+4W4xQ+fPBP1CEUrgRxiQg6ugoqtoaFw9CgWaDSQlORZNdvwcPjkE0hOFrb5+JUr8MILQv79o4+gUyf3+WSr38pGAXkjFFVhTNsxbI/fjoREMME00jciNSeVxMxEJnabSFRoFGeSz/BAuwfIM+XZpdp3Pe86K8eu5NjVY/jIPjTUN7T0qZW1zNo9i2m7pwEwoskI3rz9TUa1GUV0SHSRdmVdw5ZtUkzc8809pKji8fWOOnfwyV2foKKy8uhK1p1fB8CZ62f45M9PeLH3izeNmmKZ9stPo83JR718kcQnHkGrD0STm+5yP/yMKvrzSfiGaZEVFRISQVNFFVvvvFPc+UuSOL9JE8G9u9sPW/Z994lFAWDUKNi71/M+mfvVaiEiovoJoCKQJZkxrcbQqlYrTqecplXNVsSExADWINxjHR8rM8halh0VHFXiubN3z7b48MOJH/ig/wcOl8izZcdnxlsmf4Cdl3Za2gT5B6FBY6G3/H390fnrvCLnvrDtieDrVym7+abXOVrWbMk7/Qa5xY+afnp0gDbMKt1RmRVbbdpDhwpl3StXoEcPkWnjjWq26elYkJ8vZGM87VMl3Qfg1WhRswV3Nb6LEL8Q242dgNjgWItdQ6qBr8bX6deoGViTCK0ohCIj07u+Ncd6QMMB9KnbB4D6NerzVNennH59TyAtN42fTv3EqWunynX+vvh9TP1rKkm5SWy+tJmP//zYyR7eCHOg19dUwbz7yoZmzUQAODLS056UjldesdrPPCPuum9CVNlP7al9ANMGT+O1da+hSir/7vNvUnNSXXK9z4d+zp8X/iTUP5Tusd0tgd/EzEQ+GfSJUNfMMCAhkZqT6vaA67nkcyQHJhMWEFbhIPCJqycY/8N4MtQMVFSmD5hO7/q9HfLpfNr5In8fl9Muk5Kd4rrSfoqK72UDchBgDvaC+4OK3hjoLMk+ehS2bhW7hQcNcr0fo0eLncqXL0OHDo7vU6gOAns3bO0DqIgd7BfMzF0z2X95PxO6TKBbbDdLG32Anm9GfeNUekHnryP+erylf4AWtVrQvV53oIy9AhWUpCivveXiFkYvEwJpw5sM5z99/lMhCuh82nmy1WzM2Verjq7inub3OOTToEaDaBPWhgPXDuCHH8/1fM6lY6NVQBcsoQ3xMKVQEdtdPp06BWPGiEAoiCeHO+5wvR96vbiWN41NdRDY+zF161Sm7Z6GgsL68+vZ+uhWgnyCXHItk2Ji3NJxbL68GQmJVaNX0TG6o0uu5Sz8Z5N1C/2KEyt4sN2DhAWGlbu/OH2cJaYB0CaqjcN9+Gh8WDRyEVnGLMIDwskx5pTbH3tglmOohh3YvZsiO3R/+00sANVwOarsAuBKCmjr2a0W6QMVlb2GvTTSNbqhvUbWkJyVzPu/v48kSTzR5Ql8ZB+HrrfhzAY2X95sef32xreZd+88r865D5Kti6GKSmZupsN7Ey6lXmLjuY34afyIC4lj2sBpLN2/lFhdLA+0faDUvRdl2hkGokOiyTZmu3RsfE0QkVYg36DifXSLvba7fIqJEXfTZrRrV5SSuZnGppoCcg5sUUC+Gl8MmQZqBdVCH6DncsZlfjn1C80imzGo4aAyH/HHdx3P3p/2oqKi99HTp34fTIqpRJrjwWUPsitR7DJefWY1i4YtomVkyxL7LcmO08chIVnoj9q62oQFhDlER7ibApp29zQeXvowiTmJTOwyEUOWgYZ5DakbWtdunx5f/ji7EnehojKy2Ug+GvgRw5oNK3fWlrvGRqNK1JH1+IYiNnh5mlKoiO0un3r1gh9/FHf+DRvCsGE379hUU0Cux4nkE4xdOpY88ogNjGX5/cvpM7cP19XraNDwr57/YkzL0uWKhjUdRpwujv3x+xnSdAghfiGlSh8cTDxY5PWLP7/Iron2yU4ANA5vzJu932Ta9mnUC6nH233ftvtcTyE2JJalY5eSnpdOn3l9yCcfCYk1Y9dQJ6SOzfOz8rPYnrjd8nrJsSV8NPAjV7rsNJgVN6vhIDp0ED/eKs1w+rRYoOLi4PbbPe2N01BlF4CyKKCZf80kB8EBX8i6wNxdc8lWswEwYWLFwRX0qtPL0r6kx/3YkFg0aFBVtVQ6QiNrGNx4MMtOLrP4lZ2XfQMdYsse0XwEw5sPx5BuQCNpHKY/KkJzXMm4wqy/ZpGv5PNirxfR+evsPnfD2Q3kYpWnXnpgKWPajLHtk6pSgxpcRxQgiAuKc3jM3DE2xW1JVclNMqD4AsZij/iXLgkRMq1WbI4yH78ZaQ5bdnw8nD9vlZ329Njs3CkUQs2YOVNkEFVTQN4LWZIJ8guyUECFt+XXD6lfpG37Ou3x2edDLrlISAxsNpBaQbWcIncwddBUclfn8uPZH5GReWfAO5VGdsFoMnLn13eSlJcEwLm0c6x9YK3d/bSr3c5CX0lItI1paxlXWz59N/o7FuxbQIA2gPEdxnvd2JTYlwqaABPawFDB/Rfe6v/EE/DXX+I/+5AhMH26OF7VpCAqam/fDk8+Ka6t08Gff1pre3tqPE6dEhSNOVC9bZvY8FYtBeG9UFSFzNxMyxNA4S36Q5sP5WLGRf42/M3AJgO5NeZWlo1exncHvqN5ZHPubno3hgyD0+QOnrnlGd664y00sob4jHjSctIq1G95/XD0/CtpVyyTP8CB5AMOyVm0qdWG//b5L9/s+Ybj6cd5Yd0LTOw8kcc7Pm7TJz+NH5P7TLbcYbtqzJwpSeFjUgmLT4JwrSima97en58vJg0zVq0SevqulhbQaGDxYrHwjBkD3bp5h9xBWfb8+WJiVRS4ehVeekmod3pSJiM21jr5gyhy88MP8Oyz4kmgWgrC+1BmEDhcYu5woRJqDirqA/Q00De4IYcenBtglCW58sguhEn0junN1stbMWLk/ub32x2ATrqexNnUs4xtPZZXf3sVEJLYn+36jIfaPUR0YLRXyFM4MwisVUAXISGHFgvsqaoQIjNrzzRr5p6g4pIl8N57ot/ffoONGx0ry+iJ4GvLlkUXyx9/FBNts2aeC/z27g3LlsGvv8JPP8HFghLoU6ZAnz7VQeBqeAe2X9rOxbSLDGs2zGkSFAvuXcD6M+vJM+Zxd9O77Tpny4UtjP5hNFq0xIXG3fB+QmYC0cHRTvHPjBxjDqqqIkmSU/t1BKWWWpQkcSc+fz74+cEjj7jHob17remVGg0cOeL80oxJSZCTA0FO2gfz1FPiCSkxUbzWaiEjwzl9F8bly2KBDAwUheBtTbi33CJ+Nm4sejzHtftJXI0quwC4ch+ASTEhSzKGDPcFGG3ZM3bMYOa+mQDM2TWH70Z9Z/GvIn5Eh0TTLaYbhnQDqTmpdp1r1tkxYuRk2kniasRx5voZAGpQg5jgGKfJU5gUE5PWTOL3K78TIoWwePRih/ZaOOs7klWoeR0hgqZyY5APRLlB8/GUFNcHXPv3F3QFiAmuRQvHtPBt+TRnjqiqBSKu8e67Fff76lWYNg3GjRPUWffuZZdmLI999qygxMyVws6cgZdftu/cJ5+EF18U9qhRYkEv/l1WB4E9D1dJQUzZPIXFxxYTLAcz9565tAwoPaffFfn3h5IO8eEfHxIRGMFHgz4izF9QMt8f/t7y2Q+nHCZPybOokLp7H0DTmk3ZkbjDcmzqXVPJzM8kNSeVHnV6EFEjwmk+7UvYx9YrWwFIV9P5cveXvHPHO+6ngPyF6qdcG9uP+4oiApsajQj+ffihqFY2bJh4OqgojaCq4k7Vx0dQKPv2weDBIqvGkTKOtiigL7/Egh9/FJ8jOLjiVEjLlnDypMicatDA+VTU8eOiKLwZW7aIIjb2nDtgAIwcKRangADnl8WspoC8FyeST7D42GIAMpQM3vntHX5+6Ge3XT8lJ4WxP4y17EJWflKYP3w+AG0i27D50mZAqJCGBYRxPe+623wrjNdue42UnBROp5zmqa5P0SiskWWydHapSD+NH+ZNcgD+Pv5O7d8R2KX4OXs2/KdAKuPdd8UEsmCBmLQ/+wzq1hV3lhXBK6/AwoXiTrJ9e/jqK+tE40zUrCnSNc3w83Ne3z4+IgsoPV1o9+/bB337is+i0VSs7/r1xQJ87Zp4PXiwY+drtdZi92UhI0MsxEFBXittUWUXAFdQQBm5RblIRVHKzE93NgV0NPGoZfIHOJp41LIn4N0732X6tulcTr/Ms92fJTMv02NSECoqT3d9muiQaFTUEstgOsunZuHNuK/ZfSw8tpCmIU15svOTDpXddJYfviaISFWRr5TxiH/5snXyB/jXv8TdpJkiMplEymFFKYXvvhO/jUbYtUv02ahR+eiIsiigf/9bVNvKzBTc/fXrwnYmjbVsmZj8QUym334Ld91lbXfokLijHzxYTMr29HvtGixfDmvXioXmvvucrwZ6/jyMHy9iJCDGavToagrIXXAFBdQxoCP/aP8Pvvj7C2oH1mZK/ylulRnoVqcbXSO7sidhD0aMvNT7pSJZOR8M/KBEqQRPFF9xZ/bN+wPf55XbXinylOFOP8zyD1odoJbxiL95MzfgwQdFZklenrjjHTOm4jRC584inx7EXXrDho71c+yYNWBcq1bp7W65RUg3g+NUyJUrQgSuU6eyM5N8fIqOV0CAmBwlCVauhDfeEBPo99/DL784Nk7PPlt+CscWLbVvH6SmWv1evlwsktUUUOXGU12f4tXbRFqjs+mM0pCUlcR/N/+X1KxU3u//Pum56WhlLW2j2rrl+tWwDbvkH9q3L/r6kUcEx/3334Lvrl/fGpisCObNg//9T0xQEyeKycVe/PabCMCaaY4//3QutQPi85rv2H19YfXq0imqJ56AdevEU0zXrnB3oUy0OXOsNMzx46KNefewp1GvXtHXnTt7xg8bqLILgKcKwriCXpi0dhLH0o4BsH3BdrY/sR1DhsFueQRPUECVxSdn+JGUZqCBCtri8g/F7ehocae6apW48+3XT9wJR0dD7dqCQnEWfTJ6tOhXVR3L/Fm8WPw2GsXk+tNPYuJ1hk9me8EC8TsvT/ysXAmPP176mP34owi6xscLisn8XpMmcO6caK8o4O/v2GetaLZOWRRQTo74nIsWiR2+//d/9tFM1RSQc+DKgjC+Gl9MqslmrV9n0Rxn085aPlcmmQT4BDhUZ7iqU0Ce9kOjSmjRC/VPW4/4PXqILBdHKQWA338Xd7k9e97YJj8f9uwRk01sbPnpo27dBDduPtatm1icnJnp0ratyMEH8bnbtbOPbpHlou9Nmyayd06fhn/+U9x1Ozsrx5ZPtrKZevVyPPOqmgLyXqw4toLXN78OwDMdn+GVXq/YOKPieLT9o3zx9xcoKNxZ704CfAJcXtCkGvZDVgFX7z9bsACmThWB4k8+EcHd2rXFe/n5MHCgKKsoSYIaMd+1O4rx4yE7W1AqI0eKvQPOVuh88EFISID9++Gee6BLl/L1ExQEb79ddIKthkOosguAqyigNze/abnGtD3TGN9hPD4aH5fSHE91eYrOsZ25knmFIU2GuFUN1FV2eXzKNeYyafUk/k78m36N+vFUp6c84kdhu0wFUGdRChs3ivRHc8lEVRVyCX36iDYGg5j8ze998IG4Oy6PH6oq9G3GjhU+OXMDVmF78GAr7WOLtvG0GqijPv31l8he6tIF7r23eiOYJ1CWGmhF7GApmFTVGt0PCwhDI2tcqjSpC9BxR8M7SM5KttAOnlK8dJZdHp9m75nN1kSx6evHUz/SIaYDLaNaut2PIuerIAWa0AaUoADqDOXNVavg9deL5pxLkqCSdDrRJjiYIrh8WQRDi18jNVXw7WFh4i68pDb2+HQzqJKW16eEBJgwQUzqv/wispgGD65WA3U3ylIDrYj91p1vMWXzFHKNuTzf43ky8zJLbe9MpcmK2N7iR0V9uppx1fr9opCYkVhhldDifuSb8ll5fCX1QuvROaaz7fMVFd+URJR8LbJJ5ffdK9mWe5aeDW6lh7ZBxZU3164tOvnffbfYMezrKyb0xMQbM18yM0u+xl13wYULos3GjWJPgrepgXqzH/b4tKtQsSfzk1qXLlVTDVSSpDDge6A+cA4YparqDYShJEkmwFwa64KqqkMrcl174Kog8O0NbmdEixGA7XzzqhTo9Aafnuj6BEsOLSHZmEzDkIaMazvOqX7o/HUM/3Y4OxN3okHDpM6TeLTjo2Wfr4IcLiEH6Nl4eiPP/P0mCb7w+blvWNFvHp304gml3EHFO+8UlILJJO4m33hDpGUWP/+228Q+A61WLBCFc+vj48VmJ/PkD2KisqUM6i2lGO314/RpkUnlSZ/694e33oLcXNFm5EjHFVgr0RPAK8BGVVXfkyTplYLXL5fQLltV1XYVvFY1bnLUDKzJpkc2gSSot7ScNKf2n5ydzM7EnQCYMDFv7zwe7fiojbOs2HlpD9kFNL1RUdhz+QCdWvarmFMTJkBkJBw4ICQioqJKDsp+/bXIrNHrxSSUVmhs3nwTDhYqTWpeWKoSPv5Y7H0Asb/ibQ+VTq1dW+g6rVkjAvHt23tvmUsqvgDcDdxWYH8NbKbkBcDtqEr7AGzZC/cvZMOJDXSO7cyw5sM85oc7xiYhM4HokGhSc1Kd7kfNGjXxx99SLrRpWFObshIaRcU32UBYENwR1o6fMyBRBhno5d/wRlkHRRF35GB/ULFHD7Gbt2bNsoOybduKu83U1KLHExIogqeeEhLIlSX4ao8f5skfxEa4SZOsktLu9ikwUKTqRkeXT2KiEgWBI1VVLfCceCCylHb+kiTtBozAe6qqrqzgdW3ClfsAvIl62XNlD+9vfx+Av5P/JtA/kBdufcHtfnjj2BS2c4w5+Gn9bPrx84M/88HvHxAZHMmLvV5EVVSbFJA2TEIO1NM59E5mPLKY7ZnH6FGvJ821UdZH/Lw8Melu3y4m8x9/FEE/d9Atr74qMm6MRvF08OqrWGQWqgoFFBsrdlODSA+NiBATqadpqevXRTDY318E3u2h3byJApIkaQMQVcJbrxV+oaqqKkmSWko39VRVvSxJUhywSZKkg6qqni7leo8DjwPUrVvXlns3Pc6knrHYCgqnrp7yoDfeiR2XdzB6yWiMGBnacCifD/m81LZNwpvw4cAPLRO9LbkPWQVdHsgB4nXryNa0btZLvCj86L96teDyQXDVc+bACy/c2GF+vt2fy2506SLy+q9fFxOLI9IQlQWLFwtN/8xMIUvtLZ/x/vutgeHVq61CfSXhwgVYvx6aN4cRI9zins0FQFXVUnVMJUlKkCSptqqqBkmSagOJpfRxueD3GUmSNgPtgRIXAFVVZwOzATp16lTagmITNwsF1CGqAwEEkEsuCgp94vrcIBFRlSigkmyTYmLO3jnk5+czrOUwZOQibf69/t8YMQKw+vRqxl0ch85P5xQ//IwqYVcMYhdwWY/4168XzebJzS1KDyiK4K537xY8/7ffijv2kvoqjx0dLSZFZxaE8SYKKDoaZs2y2q7av+Do2BTOCjp0qPTxP3RIaDCZTGKRnjcPHnoIV6OiFNBq4CHgvYLfq4o3kCRJD2SpqporSVIE0B34oILXtYmbhQLSB+jZOH4jZ1LP0CS8CYHawCJtNLKG09dO0yS8iUPyEZVpbCZvnMycA3MAWHRwERse3lCkTVRwFEdTj1r+NuqE1iHYN9gpfmgVkGtLoLNBHdx/vxBB27gRWrWCZ54pWjxl5UrxPogYwXffCWXQ4GBBZXgr9VIV/Dh2TGj2NGggFEI1Guf51KuXCArLctnKpwaDtUCQooii85VgAXgPWCJJ0qPAeWAUgCRJnYAnVVWdADQHZkmSpCBiY++pqnqkgte9KXA06Sgfb/2Y+rr6PNv92VLbhfiF0Kd+H6AoZXEm5Qyjvh+FgkKgNpAV962wTGBVCRvPWuu0ZivZXEy/SGxorOXYhwM+ZMLyCZy9dpaX+rxE3dC6FVJyVVWVS+mXkCSJCF+dfSf5+FhF0FJSbty85VushvN334niMXq94JBr1Ci3v9UoA+fPi+wq89OZJMHzzzuv//nzxS5uf3+xoGdnl9yuZUurDz4+bsvSqtACoKpqMtC3hOO7gQkF9jagdUWuUx6UlwJKzUmMdZeoAAAgAElEQVRlzfE1KKrCuLbjkCTJIzRHVn4WAxYOsFAXJ6+e5J89/+lQPwv/XmjJaMkz5rH00FImdp1Y5Sigfg36MfvAbEBUQ/OT/IrQYNEh0Xwz8huLXVhKw1E/VFXllfWvsPasEEyb0ecjHs9vLfSAKkIpdO8uyg2uXSsoIHOmUEoKzJgh6IHy9OsOmqMy+7FTpP1asGOH/aqd9vpkzgjKyiq9jSQJ2s8cA3jiCdyBKrsTuDQpiNScVJKzk2kU3ggfjU+R7f25xlyGLhzKlRzB011Ju8K7/d/1iMxAWm4aJkyWz3Po6iFqBdVyqJ+GEQ2RTkioqMjIxIXHVWopiNLsf/f5N/Uj6pNjzOGeZvcgITnNjz/O/8Ghq4fo36g/tYJqkZmfaZn8AT7c9jFPDlrjHGmBL76A5GQRLH7qKesdYa1atmUbXGF7iwSDK/24/XZrVTOTSSy0ZokNd/vUvLm4EZDlipe9tBNVdgEoSQricOJhxq0ch4pKvcB6LLtvGSnZKZbt/UeTjlomf4A1x9fwcu+XPSLBEBkUSYOgBpzJFFk+o1uNdqif9Nx0tp/bjk7W4e/rz6hWo2hTs02FpRNUVC6nXmbF8RVo0NApqpNXyFN0iupkKUFpSDc4xY85e+bwya5PAIjcHMm8e+ahCyxK+dTyDUNJSkTWOFFa4NZbxc7d5ctF1a3Ro71L7qAq+ZGbK1Jyt2wRtFzPnlaJDU/4VJmkILwZJQWBP9n+CSoisehK1hUOJB6ga0xXCy/eqlYrInwjuJonNGf6Ne5XpOQiuDfQuf7h9aw4voI4XRzdYrs5VOrwlfWvsPnKZgA0ORoe6fgIGknjlEDu+I3j+TtZBCx71O7Bt2O+dfvYOMsuy49Vx6w5Dcl5yWSbsmmna8ecIXN4Y/0bxITGMPOu6ciZNWwHgR0NKn7wgagZbG4XEFD1gq/e5EfDho7r9rvCJ2/bB1CVUDfUuq/AhImooKLbG3w0Pvz68K8s3L8QX40vT3Z+0t0uFkGATwADGw4sV+D25LWTFltCEjtog6Mr7JOiKuxO3m15/bvh9wr36QpcybhCak4qkTVK25toG91iu3H26FkAtGiJCYkBYGCjgXSL6YY+QI+/Ecj03q3+1ahGWaiyC0BJQeBHOj3CpbRL7Lm8h0c6P0Ld0Lo3bPWPDonm4fYPY0g3kJGb4ZFA5+u/vs7K0yuJ8Ing/f7v0zW2q8PXHt9xPK9sFMVqmoc1J7JGpE1ZA3vt2r61MeQZLGN9Ie0CQb5BXrNHYuH+hZbd0Z3DOzPv3nkg4bAfL/Z4EV/Zl6z8LMa2HUtGTgYpvgXB5c+noJ21hIjQBsiT/yNkGLw10FnZfMrLE5uizDz4zTQ2lUwKwmtR2j6AWcNmOUSlVMQuD81xMOEgK08LpYyr+Vf5avdXDGg8wOFrP9DmAdrUakOuKZdO0Z2QJRmN7BwKaEzbMXy862PLWK89sZanOj/lNRTQ13u+tvi2K3kXGfkZ1AutVy4/Xuz5YpFdwfoAPRw8gDRzMaFpoE04JVL95s8XF/RmmqMy+JSSIrKhkpOF6ummTaLU480yNm6mgNxzlWrYDXOMwvJaVUtpaRt1Q+vSJaYLWtm563ygb6Blty2A7KY/VntRJ6ROkdd6f8cptDKRkw1S4dfV5TmdhrVrISlJZMVkZVmL1FfDJaiyTwCVVQoiNjiWIQ2G8OPZH9Fr9IzvPP4GaQdP5tyrqNwacyu3RN3C1vittNW3ZWiToV5VpvL5Hs/z+Y7PSchK4MEOD2JSTKX6Vy4/WjbG0L8n2pV/EuETgDxu3I2qn95CKVQ2n3x8xG8zatQQWTk3y9hUU0DOQWWWgni3/7vM9J+JJElOoavK44eqqnz4x4csPbKUVrVa8fGgj61twiSW3LcEsF0Ux9ljY4/dOqo13933nV3+lduPD2cS+qE/sskfUlK9l1Jw1C7sgyd8Gj1aTPirVkG3bmJDlK+vY34kJ4sFuUEDx66tqpCRIVIwPVUsp5oCci5Mionnfn6Ozl90ZsKKCeQac916/az8LH47+xvbLm4j32S/0qMkSbYbVRBbLmxhyeElpOem3/jexS0sOLKAbLLZlbiL6dunu9yfSgf/APEf11NISBCaMfv2Vbyv7GxRbrJOHRg+XEyEnoAkifTXHTtg8mRxN+wIvv1WVEcbMQKefLLo00RZyM8Xey9uvVVoNR06JPYIPPGEOPb66/b3VYlQZZ8AzBTQ8mPLWXJM3K3+fO5nZu6cSb+GokqTqyigwwmH+fXkr/hofVh6aCnJxmQAfPFl7t1zaV+7vcepqGk7pjF7n5BP0KFjw4QN+Gn9LG3iM+KLjGfS9aQKU1HuooDc5YdWgYgUFfmKByiF5GShF5NbcEMzdaqYuMrrx/z5QokU4MQJ+PxzsRvZG6gXR8Zm+nTx22QStRcOHxZ387bO/f130RbEmH7yiZDRXrNGHJs3D1q0gDZtyvd9OfJZqymgisNMAZlUEzIyCmJbvUk12a2Kue3yNiZvmEyITwhzhs8hTh9nF3Uyae0kEvNuVMbOI4/Npzdze9ztNq/tairq15O/WvxKI42krCTaRLaxtBnWbBiL9i5i19Vd6LQ6nuvxnFfQY95C00lIhPrrxSO06oGski1bispL//qrWBDK64d5wjH3GRIiJBG8gZZyZGyaNLEuZCBooBo1bJ/boAFFUKeOWETMkGUx4ZupoeI+paeLJ5fDh0Ud4JdeqqaAvAH3triXuJA4AKL8o3iw/YM3tPnl9C/8b8v/OJhgrZuanpfO4z8+jiHbwPH044z8biQX0i7ccG5xZBuzS5z8zQgNDLXL79PXTtNxZkdafdGKKZun2HWOI+gc0xkJQV9ISNTT1Svyvo/Gh6/u/Ypj/zjGwacPUl9X3+k+VKMCaNnSOkGZpYYrgmHDhHQxiDq2bpAidgk++giGDhUSGvPn26+i2ratKNATGQl9+8Jzz8HDD4uFEcQCcc89pZ8/Ywbs2SMywr79Vsh+VwJU2ScAMwVkUk2suG8Fx5KO0bRmUyRJKrIhavGBxUzZVjDB7oJVo1YRFxbHuWvnivQXnxNP93ndmTdkHp1iOpVJDzQJbsKJjBNISHQI68CJayfIJJN+dfvRt0Ffu6iU1399nfgcQcPM+HsGtze8nWDf4FLbl2WXRHPc2/JetLKWLGMWAxoPQFGUEjNlokOiSTU5p/6uuymgvYa9fL3na1pEteDRDo+SmJnoVD88SgFFR8OXX4o0yS5dhKSxI8VeitvJyVb6xGAQNIjRWPkooNxcmDLFetyR7Kz+/WH8+KJjvGkTHDki6LW8vNJ9SkrCApNJaPuUJzOsmgJyDoqrgTaOaGx5fC+s9njgyoEi551MOUmH6A60qNWCcc3HsfDoQst7Kionr52kb8O+N/RT2F4wcgFbLm4h0CeQuxrfRUp2CuGB4QAkZyXbpVSpKaYGGOwXTK0ajqmBlqZ4eeraKcasGIOMjM5Xx7O3Plup1UBLsrOMWTy86mEUFDZd2oTJZOLxzo873Q85FMh3s+Kl0SgmuSVLoFkzGDtWvFeZVDgrkx8tWlipmtJ8eu45UbchLQ06dhRPVIcPi6eI7Gz4z39ExTd7Pmu1FlDFUZIaaEmqkO3rtGfNuTWW85qHNyc1J5XEzERe6f0KdXR1eHf7u4BYAKKCo2wqaqbnpDOg4QA0sob03PRyqVy+2PNFHv7hYdKUNB5o/gC1g2uLu04nKG/O3TUXpeDf1byrLD+6nMc7Pu5wv2XZZ1LOsPbkWqKCoqgTXMflaqDF7XPp5yzfqYrK1nNbGdZ8mNP8uJqRSFSOFrJU9ytefvONoBlAZKtMngxvvlm5VDgrox9l+VSjBixdKibxwEBxRz9xorUAzOTJYodzWlq1Gqg7YO8+gNEtR9OyVksOxh+kU3Qn2tVuV6TNP7r+gwDfAI4lHmNw88G0qdXGbYHOI/93hGtZ1wgLDHP43LL8iKsZBwUVEjVoaBrR1KmB1VxjLk+sfIKU/BQUFF7s9iKTbpnk1LGxZdfT10Pvqyc5LxkZmYc6P1Ri8L+8fmhUCb2kR/YT77g10Fk87fPsWUEZVBa5g8rkh6LAn3+KlNvbbnPMJx+fot+TJMHp0xAeLor+eEEQuMouAI6gZ92e9Kzbs8QygZIkMbz5cPQdxBdVkVKC5YG9+wFUVeXj7R+z6sgqBjcdzD97/LPUto+2f5RTiafYbdjNva3upXe93s5yF4CjV4+SlG/lRJceXGpZANyFIN8g/nj0D1YdW0XryNZ0qN3B6d+d7Km08M6dBTdtxujRHnLkJsCzz4q9Flot3HUX/Pe/9p87fboIpl+/Di+/LILL16+Lyf3nn6F2bdf5bSeq7AJQWaUgymv/dPInPvrrIwA+2f0J+hp6bom5pVQ/Hu7wMK+GvIqK6jSVULMd6lc006lpRNMbAt/uGptOtTvdUAbS3MakmDibcpawwDBy8nMc6jcpzUADFbRGDwQ6+/QRJSN//x169IBBg+wrY+jqwLSrbI1GBLjnzoXYWFFb9+pV91z7hx/Eb6NR7E7+xz/sH5tmzcSGNoMBNm+2bq5TFEHjlVTmszoI7BxUZimI8th/XPijyOfPzM20UB7uzrnXB+hZOmIpyw4vo66uLve1vs/r9gGYFBPjV4xnf9J+AGYOnknLyJZ2n69RJbToQcH5NMfly+IOMSZGpHuWdM6Ugsw1R4qYVMQnT1JAJpPIrb92TRw7eRLefts9146LgzOiKh/16pW+D8BWX61bW8+RZfG9liQ3UU0BVaM8GNZ8GJ9t+4xMJZMAKYDhLYbbPOfUtVPM3zOfEP8Qnr31WXw1vk7zp3nN5kwdOBVwP21mD/bF7+NA0gFL3eUZ22ZwV+O7POwVQgd/yBBrjr+iWO8Ub1YkJYnJH8Td8h9/lN3emVi2TCw2/v5in4A9SEqCCRPg0iVxzsCBYo/Fu++KzK0+fUTmVlqaa323A1V2AbjZKKDokGh+eegXZu+ajS5Ah1ExWqidkvw4nXyakUtHko/QJ7qQeoG37nirSo5NSbaiKhgxWv5ewgLCHJK6cAoFZDLBhg1i92qjRoJS2Lq16A7fr74Sd49mTRxvzb93pe3vL/hy8+u+fSu258ER28dHSGJER4vj5uuWNTbPPWfdjfziiyKjp3NnQdW1by/6Sk2t3gfgSpRGAR2/epwpv08hokYEr/d53W5ZCG+ngPQBembunMn8Q/ORkFh8cDE/P/BzqX6c4AQq1ijm3/F/V6j+sb12fEY8Wy5uoX1Ue2JDYj1GAXWJ6cK0AdP4bPtnNAprxGu3veZwFlCFKKDQUEFr7NghXv/vf4Lb7t1b1APOLxAOPHZM7GxduvTmyr4p7sfGjbBwoaDFhg4Vd8+e9klRxI+PDwQFWd9LTcUCjUYUtqmWgvA8TIqJoYuGsvnyZpadWMbDPzzsaZecipXHRCUxFZWrOVe5mHax1LYNdA2IDIhEg9hwNrL1SJf7dyblDP0X9eeZtc/QfW53DiceLndfCdcTmL9vPmtPrqW8RXOGNx/OH4/+wZxhc9D56crtS7lw7hz89ZewVRU+/VTY5t2nPXta2xqNIhXxZkZoqKBNhg1z2+RoE4cOiTv7pk3FU4L57/DVV61teve2ivR5IarsE0BJFFC6XzqZSqalzZGrR5yeAeNJmqNbTDd+OCmyFvzwQ1ZlUrJTSvTj6vWrLB2zlPWn16OVtQxrNszhoi6O2quOrrJsQAP44eAPjGg1wuG+svKz6DO3D9e5DsDEDhMZ1myYW7+jClNAQUHWCQOgfn1rJk90tJBkLjzph4dXvOhMZaKAEhLg44+FKN3TT0NwsOepqOJj88YbQh4CYPVqQU317Suyf1auhIAAqxKpLNvfbzUFVHGURgH1rdOXjRc3IiMzscvEKkUBTR00lSa7mpCVl8V9be8jyCfIph+PdXzMbTWS20e3t3w/WrS0q9OuXON/LvUceeRZ+tp0ZhMTu0x063fklCygpUtFNk/9+uJ3SIj1vVGjRM74nj3Qr58IIt5MFNCgQSIgDrB/P6xf73kqqvjY6Ao9NUqSSFF1Rr/VWUCuw1fDv2Ld6XVEBUW5ZHOQJ6GVtdzf5n7LJFXWZzubcpZB3wzi0vVL3N/ift698127N52VF7fVv413+rzD1rNbua3hbQxtMrRc498ovBE+kg/5aj4yMn3j+rrAWzfg1ltFPnjhybYwhg0T4mQg7v5vFiiKdfIHq06/t+Gdd8TO3itXxFNK06ae9shhVNkFoKwsoHoh9UrdHORM29OZLqX5cfraae5ecrdlrL458g39Gvejfe32LvepS+0uDGs6DI2sKff4R4dEs3T0UhbtW0SjWo24t/m95abyPEYBFbe9JePGW3zq2dNKgQ0Z4pqNbhUdG39/UTineIZQRfutLBSQJEkjgTeB5kAXVVV3l9JuAPApoAHmqKr6XkWuaw+Kq4G6S+WysO1qxcvy+rFwv1Xh1IwAnwB0/rpKMzZtotoQ0yvGorKqqIpb/VCDTWgJFRRQVVC89DafFiwQOfNhYUJEzRvGwx1jU8kooEPAcGBWaQ0kSdIAM4B+wCVglyRJq1VVPVLBa5cJe9VAXWm7WvGyvH4Ea4OLjFVbfVuahTezqKDezGNj7/lXMxIxqlrxBHCzKF662w9zznxmpvv8uH5d7MKWJBGHAfeMzXffifKT7duLymKVQQ1UVdWjgC3uuAtwSlXVMwVtvwPuBly6ANxsUhCO+PHybS9zOuU0h68eZlzbcUzoOMHjPnnL2Nh7vo8ioZUqGAQubHtLzr03+iTLsG6dmCD79hX7AFxxPaMRBg8WdIyiiLjLv/7l+rE5eBDeKyBFjhyBWrXEXhA3wB0xgBigcEL6JaCrG65bjVIQ5BvEjKEz7AoWV+NGyCrockD297QnNwm2bxfFVBQFli8XG6+6dXP+dS5cECJ75mD88uViAXA1LlwQi4GqimufPOn6axbA5gIgSdIGIKqEt15TVXWVsx2SJOlx4HGAunXrlrufHGMOn+74lMSMREa1HgUFKdeeDL56SxDYU354o0/l8UOjqPheNRAeBLLJxQHX9HQxAQYGisDozRIELmzv2GGdlBVFbKAzzw3OvJ5GA76+1iIunTuXHnx25ti0bi34f7M20JgxVtE4F8PmAqCq6h0VvMZloE6h17EFx0q73mxgNkCnTp3U8l504pqJLDywEBMmlh5eyqbxmyoNvVBV/fBGn8rjh6yCHC4hB+jFjYWr6JaMDJEBk54upCG+/FLkxzuT/ti2Dc6dg+7dvZcCuusuUezdZBI+DRlSspKmM+xNm4TkRECASO308XE9BaTXi30O588LTajo6EoTBLYHu4DGkiQ1QEz8Y4Cxrr7ob+d+syg9ppvSSbieQFRwSQ8y1SgLiqow5+85HL5ymPGdxtMuqp2nXbp5sHevWATMukALF4oFwFn4+muYOlVMrFqtuF54uPP6dxaaNIHffhPCeb17i522rtoXUbeukHJISbmxopcrERgo9oW4Weaiommg9wDTgJrAWkmS9qmq2l+SpGhEuucgVVWNkiQ9DaxDpIHOU1XV5Ts7RrYYySc7PsGEiUi/SCRVckjt8WanOcz2jB0zmLlvJgDLTi5jw7gNKAWP4zfr2GgUFd9kA2GupoBq1LBKDYCY+BzJh1dVkaf+889i4XjqqaJtfvrJKjttNMKWLYJm8jYKSKMRd8k9ekBkpHfsCShtbGbPFotVt24wqaAKXlXdB6Cq6gpgRQnHrwCDCr3+CfipItdyFO/3e59mNZtx9fpV7m52N4qiVAp6wdv8+Nvwt2VMffEl4XoCbSPb3tRj4zYKqHNnkR749deiMMlLL4nJwRE6Y9Ys0e+sWdCihahra24zYAAcPSre12gEDVS4trCjNMf/t3fe8VEV+/t/z2bTCAlpJBAIPRSj9I4I0kUE4SJiQUUEsV8VvViu9V5FuX5VsOEXvyCgKIIgxStFifgTEEEQpLcQSkhCeiEhyc7vj9nNppLdZM/uZnMeXnkxe3bOzLOzycyZZz7zzKZNarDp3VsNNkJo1zauTlfGad06+PBDNageOKC+v5tvtr/cOrQPwG0hhGBs+7ElYaC1jXT56fRPvBH3BsE+wcwfN5+mDV1/nqczcFuX29i1aRcmTPh7+dO9aXeKTcWuplUBl/IusfbYWtqEtOHaxhq7Lx7YD999D72vhwHXa1vXwIHqJz3deiaArTh71rp4WlysThorjfvuU5rzyZPKayg8vOY8t22DWbNUfZs3K1+csWNrXt7SpfDqq+rw9CVLoHVrqxTmrjh/3jqjArW24ubw2AHAkQfCHE89zpQ1U0rKnv7tdJbctsSjZQ5LemSbkYTeEsqBpAOM6zjOYZ/HkW2TVZDFyCUjKaAAgMd7Ps6MnjO04XHsCF7jJ+KTC6H58zF88IHSqEEbSaE26aFDYd48KChQtgWDB1e0Kxg4UEkriYkV3Ubt4bR3b1kvoz//tJZrL+/UVJg9W107fVoNVElJakPYmDHqZC13lIB69FDXpVQ/N9xgv1xVlyQgd4YjrSDKH5WYlJdkk22Cu1pB2Hv/sLbD6Na0W4ntgjtwKp3en7y/pPMH+OnETzxz/TPa8Ni9HUMheOWbD9PYu1d1dO5oLRAWphZ2d+6Efv2UpXJqqjacbr4ZFi9W6cJCGD9euWXWhHd+PmWQkGB9+v/+e2WQ17Zt5fcXFqqF8/BwtaHKmVYQ3bur9j50SJ1g1rZtzcrVJaDaw5FWED7ChyHNh/DTuZ8AeLTvozbZJmhhdxCfHs/pzNO0DGpZ52wXtOLUJKBsdFeXpl3IzM9EIrmQeYGDyQdpGtiUouKi2vPoEYuXtwoXD7sChi5d3N92ITpadVYZGdpxatBA6f9//qk632bN7K/Pkv7jj7J/zJ07K1tsUJ+joKDy+wsKYOJENWvw8YEPPlCRNY5sy+raJipKHQCTmKji+mtSrtFYN6wg3BmlrSDyCvN48+c32Z24mzHtx/DcoOfsXjBcMnEJx9OOI6WkQ3gHm+519EJnXHwcT/zwBEaMNDA0YMdDOwjyCaozC65acQrxD+Gbv33DxuMbaRnaknEdxhHiH0JBUQGPrH+Es7lnMWHik1s+ITYytnY8ImMxrFqPYd1/MfQcADcMUtJJfVnorC7dqVPt2+OmmyiBEGoBe/JkOHECHnlEhYJWVsf69arzBxU9tW6dmpm4S9vYWq4+A3AsFu1dxNbzWwFYcWQFnaM6c0+Xe+wqQwhB+7D2FRaTC4oKSMtPw9fg6zC+VeGrfV9hwsQVrlBoKmTH2R2MbDtS83rrAjo17kT/Fv0Bq7XFzvM7ic+NR6L2Ey76bRE3t7u59pV17QbRrcASBaTDsfDysi6mGo1qNvHzz2U7/coQGnr11zoqwGMHgNKLwClZKSXXiynmQtaFWu0J+P3C76w9tBZ/oz8rjqygiCI6BHbgq8lfYfQyarYI3DK4Jb9e/LXkdbhfuE2e+vbwOJ16ml2Ju/D28qZ3094O4e2qBfIGXg1KOn+A8IDwCt+7W+8DcHXaVZz+8x94+mlV93/+o6QkW3h07Ah33aXWCa67Tq1DaHWMplZtoy8COwalJaCZfWey8uBKUotTiWkUU+bULHtlh9Ppp5m2dlrJubYWHM0+yv7k/QxrM0wz6eXZG56lSVAT9l/cz/jY8fRo1sOme+3hcdvG2ziWdQyBYEj0EBZPXFxr3q6SpXo178UbN77Bsj+XEds4llkDZtWtfQCuTruKU2ws/O1v1id+e3g895zVSdMR0pyz20aXgByPiIAItj6wFSEEIX4hZORn1LisI6lH8MKrwgAAEOJ3lempA2A0GHl6wNOANg6elwsvcyTrSMnrLWe3VJk3vyift7e9zYGLB3hswGPc0PIGh/Ox4EDSARKyEhjUahANvRvade/YDmO5t+u9gO56qkNHeXjsAFB+H8DF7ItEBUWRnp9eK3mhRWALiigqU5c33twRewdtQtqUkWQcIXOcSD3BznM78TH60C+qX43KsZmHlDQ2NialSElmXUO6VimVLdyzkBVHVwCw/dvtbL5rM1JKh3PalrCNh79/WN2DF4vGLqJ7VHeXSlG6BFRPeegSUN2BVgfCXBt5LbP6zmLuzrkldU3vNp2H+zzscJlDSsms/87iVM4pBIIbm9/IktuW2F2OPTy+vftb1hxeg5/Rj1s73lpl/hNpJ0o+vzfeZBZk0jG8o8M5bT25taQegeBU5imGth1a6++x3ktAlh27x46pSJnK3DXdRZZyBx7BwWo9YtkytaHu9dfVITWFhWrtwcurTkpAzrWe8xBMunYSDUQDDBgwYmR87HhN6rlcdJmTOSeRSEyY2Hpua/U31RIhfiE81f8pHu79MP7e/lXmm957OgYMCARRDaPo1rSbJnx6RfcqSZswaW/zUF8waxY89RQ88YQKsXQkFi2C1q2VJ9CJE9XnrwvYvBnmz4dLl2DlShWK+o9/qDWHJ590Nbsaw2NnAI60giifjgqK4od7fiAuPo7+0f2JbBjJhawLFfLXWgKSkkjvSJIKkwDoEdajRtFLWkTcDIweyLe3fcv+5P2MihlFXmGeJpxuansTSVlJnMk4w4iYEQT5BJW0wZGUI+xP2k9kYCTtQ9rX6PPUVALyu5SIKbAOS0DffKP+Ly5WB6xY4udry+nCBeXdD8ob59ln1cladaltKkvHx5f1+UlOtqZXr4ZXXrG/3HPn1Ka3iAjrE78uATkGWp8JHOIfQqh/qOaRLqvuXsWGoxvwNnozrv04t4q46dW8F+3C2lW4fj77PLsu7GKAcQDtw9rXmtPU7lNL0umX0wnxD+Fy4WWmr55OlikLgeDxXo8z6/pZTmkbowmCgwTGoFpKChkZ6o/fFTJHz56wa5e6FhkJrVo5RnqxnGplgZSeIQHdcYea2SQkKJvugADrIFDeRdWWcouK1Azs+KzEuJMAACAASURBVHE1sMydq6Kf9CggHaUR7BvMo30eBepGFEtCZgKD/m8QV7iCAQMrb1tJ+7D2Dq/nWOoxMk3K7gFgzaE1JQOAM2CsGARmO4qKYNIkdRqXv7/SkmNiHMbNJnz+udK0AR5+WHVMjkCrVnDvvap8Pz946SXHlOtqBAbCL7/A/v1qt3NenjqhzWRSMpq9OHhQWXFbsGCBGmScDI8dALSUgGxNe4IbqL3pbWe2cQV1iIkJEyv2r+D+Hvc7nFOwX3BJ5w/QObKz0+Qx3yJJaGIiBknNJIU1a1TnD+r82TfegHffdb7McfvtavFXyoouoVBz6eWuu+Dvf1dSRmJi7TdjuYMEZEn7+iqzOm9vmDFDvXflivIhsqcsX1/KoGlT1U66BOQYONIN1B0cLytLN/BugNFgpLih+7iS9mjWA4FAIhEIerfsTUTDiAr5BYI3f36Trw98zfCY4fx72L8rzVdVupFfI1bdtoqNRzfSJLgJY9uPddp3ZDSBoXEtHCUtZ75a7JMbN4agIMe7gbrSodRytKSrebhj2zRqpH7ee0/NlFq3VgOm7gbqODjSDdQdHC/Lp9/e9jZfHvkSAwbeGvoWN8Xc5BIe5dMxoTG8N/I9Vh9YzcC2AxneejiJ2YkV8m85vYUP934IwPLDy2kZ3JIhrYfYVV+gdyCP93+85Oncz+jnlO/It0gSnpKMwauGjpKtWsG0aSqksHVrePBBdfC7Vm6g7uhQWhd5OIpTSoqS/fz91WE3oGYGmZm6G6ijoPUisC3p2i6+FhYXkuObU+F6Um4SXx75ElAyy7zt87iz852a8bA3PfGaiQxtPdR6XVTMk1eYVzJTAMi9kktUUFSd+I6MJjA0FRBci0XFV15RPzWxO6hP8ffuxMMRnLKyYORIdbgNqDIsazD6PgAdFuw6v4uYeTH0W9SPp354CssuW1CWEKXh6+Vb/naXoMhUxPaz2zmUcqjavOM7jqeJn/LxDzIEcVfXu7Smp6My5OTAZ5/BqlVlwxx1aIMjR9SagQXr17uOCx48A6jri8DPbXyOQtQpSF8f/prJ104mwDsAUE+ij3R7hI/3fkywMZgnr3/yqgugTlkElpK7vr6Lg5kHAXio20M80ueRq3LaMGUDey7soWvTrvgZ/SrdS+GO31Gli8BJSSre3WCABx5Q/9eFhc4ZMyg5u/b338set+gui6/uwsMRnBo1Knt05oABZY+N1BeBHYO6LgGFNQiDUiHVTYOa0tC7YUmeh/o8xPODnwessfFa8LA1fS7rXEnnD/D1/q95cfCLV+UU5BtEv+h+Tv1egv2COXLpCJeLLjtOArpyBYYNU3IOqPj+OXPcX+bIzKTMweVbt5aNZ3cX6cVdeDiCU8eOqp1Xr1Z7Qe6/X72vS0D1G3mFeXxx4AvWHFmDSZqYe9NcOgZ3xB9/Xh38KtFB0a6meFWE+odiKPXrFBPq5Lh2G/HspmcZsWwE41aM4/3f3ndMoRculN0AtaVqF1WX4dIl+OgjtQPYIvUEBanDViwYONA13LTG4cPqbIAbbrCG37oSbdqo8w4mTMBh+y9qCI+dAdQpCUhKJi2fRHxePABDmw/l/THv883kb0jMUtYTthz84up9AO+OeJev931NaEAo93a/1yZZ6tilY3y2+zMSMhOY3GUyt3a8VTN+CWkJfHnoy5LfkXe2v8PUrlNrLwEZDOppLi1NFTxkSNlpvatljrNn4e67rfwOHoSXX4aLF+HLL+Grr1S+6dMryhHlOS1cqGYNI0dCu3aO56pF29xxh4q8AbUB74cfXM/pauXqElDtUZckoKyCrJLOH2DbuW1uI0XZkx7aZigTYycCtstSH+/8mC3n1BPzi3EvMqbDGBo3aKwJPxkiaUAD8sgDoGVgS4L9gm1qm0t5l/jHxn+QkJXA430e4cWmk8pGAcXFqadrPz+45x71x+suMse5c1Z5CtTxiqWlnhdfrPzwlPKcvvwS3jfPmtatg+XLlX2BI7lq0TbZ2dbPLqXad+FqTlcrV5eA6hcCfQIJN4aXvO4V2esquT0LpzJOlXmdnJNcRc7awyAMrLpzFb0jetM3oi9LJy61+d5//vhP9qbuJbUwlX///C+Oph4rmyEsDGbOhHHjyv7xFhaqJ+7SHbCz0aSJ6vQsGD68ZuXs2WNNGwxlrQzcGS+8YE0/9hj4+NSsHCnVaWPXXAN33mkN5azD8NgZQJ2SgJDMHzOfn07+hJ+PH8PbDK/VmcW14eHstrmjyx38+9d/A9A+sD2RAZG1kruqS0cHRfPZhM9IzEqkkW8jMvIzbGqbpEzlyAogTCZyEk5BaPurT+vPnIFHH7UutC5ZAt26Vcyfm6sicJo0Ubp8ZWXVJp2SomYnq1era1On2iZRlZc5brxRyUWWfG3a2G7zsGmTmj107KjkJ0vneemSMljr3l07ueXWW6FDBzVIR0RUbnthSzouzrpxa+tWZeA2aZL9ZaWnK8fUlBRlCNe+vS4BORp1zQqiU0Qnrm91PQCpealubUnxzrZ3WHxoMVF+UXw09qNacbot9jZGtx9Ncm4y0UHRhDYIdcvv6IUhLzD267EADGwxmG7XDql+2//mzUp+seCLL1QnWjpPTo5aoExJUZ3c668rM7WrlVtTa4ann4bUVNW52HJvebuD0aOV7HPunFow9vOzre6cHNXRgRoUfX3htdfU4e3PPquu33sv/OtfjrFdkBLuu09ZLU+Zospt37729hSl9uIAyhMoIsL+smbMsDqx/vGHmiFayqlLVhBCiNuAV4BOQG8p5e4q8sUD2UAxUCSl7Fmbem2Bp1tBuIrH4ZTDLD60GIAL+Rd4fcvrfD7p81pxigqKIsg3qMZ2Ds5om9YhrVk/aT0BvgE09wmHo4lg9OGq2/59fFSnbkFEhAoRLZ3nl1/U05+lc1myRD2xamFfYG+6MruDsDC47jrr06wtZSWXk/WOHVPXXnvNeu3zz5UlRk5O7W0XliyxylVLlkDfvmrBOj9ftb/BULP26NdPzXpOnVIztTvvrDxfUZF6wk9OhttugxYtyuY5aA2X5vJlNQN69101KIwcCc8/X2esIP4CJgALbMh7o5TyUi3rsxl1aRHYHXlkFmRyIOUARi8jHcI7lFwP8gsq087eRu/60zahdlpBDB6s9gMsXKikj5deggYNyubp1k39oRcXq+s9e9b9WPfy6Q4d1Ofcu1e9/sc/lCFekybWE8O8vJQjZm5u7XmU3mhlNKqf+Hi1RmMywfXXq5mMvQv1AN99p8qwSDSVLZ7PmQNLzetLW7bAhg1l88ycqTp8C5ddu1S5oPyhevVSeZyAWg0xUsrDUsqjjiKjwz2QfSWbgQsHMmvzLIYtHcYPJ34oeS+2cSy3d7gdUIe070zeyaDPBpGYk+gquu6NKVNU1M2cOarzL4+mTZWuPnKkWi94+mnnc9QaRqPq4L76CnbvhhEj1PVFi6BrV/WE/MUXNV+cLY/HH7fKPb17q/ree886MPy//1f2KdweCKGezo3mZ2cp1cyiNEovlnt5WU9bs+Cpp5Ql+Mcfq8+dmmp9r6hI7Sp3Epy1BiCBTUIICSyQUn6qdYV1bRHYnXgcTTtK2pU0pPnfZ7s+I3podEmeaT2mMbz9cB5Y9wAAJ7JO8PKWl3mi3xN1tm0OJh1k3q/zSMhO4L7u9zH5uslV3lPr8wDKpzt1UgPAf/6jFhfff1/JRXXV7qCqdGio0v8tC9BRUepJ2ZKuamHaXh5RUWrB9tQpaNtWhYEGBlIBtiyEL18O//63Wu/4+GPrxjkvL9VxT5yo9lN06KAihNq2VZFg27erwcLfX810yi+Wt26tyszOVgPU+++rgSQ4GEaNUoOVO0hAQogtQJNK3npBSvmdjfVcL6U8L4SIADYLIY5IKbdVUd8MYAZAixYtbCy+InQJqOY8/H38ESinTgMG+rToU8GpM70gHSNGilAat5fByy43T63a5peEX/j55M8MixlG3+Z9bebx4Y4P2Z6sdon+69d/MSF2ApEBkZXe4xA30NLpoiJ1SLvJpCJUXn1VdTyeIgG5A485c1Q46JkzasPbdddVf6/RqDp/UJ3zP/+pNpFZOC1erDp/UOsav/2mJLy774ZWrdQAMWiQ6vivxi8kRM1KsrPVfQ0auM8isJRyWG0rkVKeN/+fLIRYDfQGKh0AzLODTwF69uwpK8ujo3oUFBWw+8Juro28lmaBzaq/oRTahLRh2YRlfLrzU7pHd+eJvk+QXZBdJk//6P6MaTeGNSfWEOEbwexBsx1Jv0b4JeEX7lx1JyZMfLLvE767/TvahLSx6d4LORfKvE6/nE5kQGSleQ2O/q0sf46u5SlRa1y6pBZe4+NVpzh9unPqdQUaN1ahsFDzPRnlo4BKS1ZCqFPCLIiNtXb0ttTn56fkQCd1/BZoLgEJIQIAg5Qy25weAbxWzW21Rn2WgPKL8pnw5QQS8hIA+OyWz+jdrLddZV0XcR3PD36eqKAosgqyKs3z+rDXmdlzJs2DmyORdrl5atE2W49vxYSp5Frc6Tj8vPxs4jGlxxRe+fkVAHqE9iCiQUSl+xEMEhrnop7UHSUBNW2qwkN//FFdf+wx+60kapKePRt27lSvX3kF+vSB5s2dY0/hDrYLtkhJs2er2YO3t5qZWfYQeHnB2LHKznnvXvX99enjmOMv68o+ACHEeGA+0BjYIITYJ6UcKYSIAhZKKUcDkcBqoUyPjMCXUsofqizUQajPEtC+pH0k5lmfIpfsXcKodqNcLkVp3TbDOgzjf/f/LyZMGDAwrO2wamUpC4+JnSbyt05/I/VyKmF+YSX7ESrc4xdCMGBoimNljqVL1WKhlEofdlS5V0tnl53Vlej0nigB1TT92GPqjGPL3onSB/gEBanvrfSTfh2zgqjVACClXA2sruT6BWC0OX0K6FKbejwR289tZ9upbYyMGUm3pt0cWnbzwOYUYz3cIybMPZ05HY3+zfvz7aRviTsdx4h2I+jSpAvpl22f7of6hxLqH1rtPQ6XgEB1AK1aOdcy4sknlQRUXKx86S26uI6yUA+vHgmP3QnszhLQ9nPbmbF+BgDz98xn+YTlhPmFOazuqKAo3hz6Jgt2LqBrVFce6f1ItfYKG45v4NPfPiUqIIq3Rr9FoG9gnZTH2oa2pYGxgc0OqvbyMJogPF1iuOABMkeLFvDrr9bNUZmZrufkLm3jKk51SQJyV6TmpTJ55WT+uvgXj/R5hPu73e9WMsfaI2vL8D2UcojbY293aN13d76bm2NutkluOZt5ltk/zkYiOZlzknd+fYd5N8+rcxKQM3g08gtRm2ekB8kc0dG2uYE6k5MtPIqKVNhsZGTtXElNJmXJ0Ly5678v3Q209nhy45PExcdx8fJFXo57maOX3GuvWv9W/UsOTxEIUnNSWbxvMbmFuS7hk5ybjBdeJa/j0+NdwkOHDpuRnq78iJ55RlkyfP99zco5f14t3s6YoU51O1T9edaeBI+cASTnJlMkrR4s8RnxFBWr1+4gAXWO6MyCMQuIOxnHHxf+4KO9HwGw4fAGVtyxgsSsRLKvZLP+yHpM0sQdne9ACKGZ3BLZIJL2Ie05lK5++R/o9YCmjpy2cHLVd3S58DIPrn6QP9P+ZGSrkTze9/Ey93iUBFRXOFXGY9Mm5RtkCc1culR5/thbx5o1yo/Hgq++gr//XZeA6jJev/F1fk34ldzCXAZEDWBI6yFk5Ge4lRvoqHaj6BXVi66fdi3hfTjzMEG+QRQGFDL+y/GcyT0DQEJGAnNGztHO8TKomO+nfM/hS4fxNnjTIbyDS9vGld/RF/u/4I+0PwD4If4HerfszbQm00ruCfRvhMEEFDrQqbMmjpfOSLsLp8p49OhBGfTvr3bR2ltHbKySXywDyTXXVCznu+9gxQq49loVFSSEmnkcPao2fd1/v2M/a12JAnJX9GrWi/NPn2df4j4iGkSQfSXbbV04+zTuw28pvwHQqVEnsgqyOJJ8pKTzB1h7eC2zB83W3PGyeVBzErMSyczPdIu2ccV3lJ5rjcIxYSItN61Me/hhJCJTYnCG86ar067mtHOn2r2blqb8c0aOtL7XoAF89pk646B5cyUDlXdatSXdvr3a4btpk+rgR4woW87x4+rENID9+5VZncmk4v9BnW3Qowe0bOm4Njca64wbqNuioU9DOoZ3dPt9AF9O/pKl+5eSU5DDjB4zCPAJ4JrIa2js25iUAnWO6eC2gwn1D63zC67uyKk8j4f7Pczqw6tJupJEbGgsd3e52/MXgd2V0/vvW43S3nlHeeSUzhcbqwaF2sbfP/ig+qmsnJycsjOElJSybqOgbCIyM+Gvv9TmsdJ7KWrS5voMoP7Az+jH9O7TSb+cToBPAABGg5GN925k2b5lGAwGHun9iItZ1h+E+YexZeoWfLx9CDAGkJGf4WpK9ReFhWVfFxdXnk9L9OunZhgXL6qOf+pUZSx3113q/Q4d1CzphhvUIBEYqM548PK6erluAo8dANx5H4At6aigKKZ2n0piViK5V3LJIafOL7g6m1NBUQFnM8/SLqydfTyyVfunF6V79j6A0uk//1SHvhcXwx13KFMzV3N67DGltV+5onyKLP77zubxySfqyT86WrVPVBRs26YiiIKC4MMPrbOCrCxYu1ZFFtlSh5TKcO6bb9Q5APPnqzUIfRG4dqjPVhDuysOZnEpvtnuq91M8PeBph/DwWAlo9mzr8ZV79qgBwdWchg5Vls6W646wWqhpuqs5WMPCISwMWrVSr7t1U4e+WCyce/RQg4Qt5f7+u+r8i4vVmsfSpWrdQ98HoENHzfHcxudK0v+z63/IvpJ9ldw6ypxdfOmSVfN2NYRwfzll+nR1tvHAgbBgAXSxw/kmL099RguyshzP7yrw2BmAO0lAP536iZe3vEyWKYtHez3KjB4zPE5ucTdOvgbfMr8POQU5pOWl1ZqHx0pAo0Ypr3tQzpYZGa7n5C5tYwunu+6CIUOufrBNZem+fdU6wsGDKgx0yhQ1COgSUO3gThLQ29veJsOkFhPn/T6Ph3o/RJBPkMfILe7I6f/+9n/M+G4GGXkZzL15Lk0Dm+Jn9NMloKrSc+fCtGmKwzXXuAcnd2kbrTlt3Ajx8XD4sFpAvvVWPQrIk1BYXDaaQbrL9LoO4mDyQZbtW0aThk2Y1nNaSedcHtdFXseOGTtIv5xeZZ46i0WLYN48pUN/+KF6iqwthFCbqcC5jqQ6VNuvWWM9KP7dd5U1eIj2v7ceOwC4kwT05PVP8vzW55FIpl43FZPJpLnVgidKQDlXcrj929tLvuNDFw+xYMICp/JwuQSUlKRi4kGFJj7zjIo68WTpxV14aMnpu++sYa6XL8O+fUqK0xgeOwC4kwR0S4dbmNJlihqUCrI8Tm6xNx3sF8zmU5s5nXGaQS0G2Xx/Wn5ame/4eMZxp7eNyyWg3HKGgXVF5vAEHlpyGjYMTpxQg4GXl9qV7AToUUBOghACL4ObRzPUAGcyzvDFgS84lGK7i+KCPQuYvnY6r217jTHLxtgcodOqUStigmLwxhsDBqZ0m1JT2nUXzZsrrR7A319ZETgKJpPazWp5MrUVhYWwbp2aiWixWau42HpWgbtCShU++9tv9vPMzLTO4ho2hFWrlLznBHjsDMCdJKC6KLfYkj6dfppbvr6lpM3nDp3LTTE3VXvvygMrKUK5s17mMtsTttOrWS+b6n5v1HucyDpBmF8YyTnJxL4fS64pl6f6PcWULlM8XwKSEm6/XW2S8vJS1x21OWrGDNi+XV2bMwfGjbON0/TpsGOHSg8frmQpR7XNmTNqY1pWFnTqpDarGY3uJwG99poyjAMYPx4eesj2shYvVpvKQFlPxMWpdtSjgGoOgzDQ0LdhiQTkDk6TzqzbGTz2XNxTps3/OPcHk6+bXO29I9uN5Ojuo5hQ0kvPZj0J9gu2re7gYjpHdQag6/yuJdFVb+14i2ndp+Hv7a9p29TIDVRKKChwrPOm5QnRUc6bx45ZO3+Ajz9WIYnVcQoMtHb+AJs3q4giR7mBvvmmNTb+8GHYtQtGj3Y/h1JL5w/KoO6ll2wvq/Rir8FglZicAI8dAEzSRE5BTskMQAtHyfXH1rP73G66RHVhQLMBdcbx0lHltg1uW6bNW4e3tslJ9P4e9xMaEMrZtLP0btEbAwYy8jM4kXqClQdXEhYQRmxYbLU88ovzy9SfkZ9BQXGBpm1jtxtofLyyDM7JgVtugTfecE/nzfIGZ82aqY7XFk7R0XD2rLqvY0fH8vPxKctLypq5fmrtlNqkiVqUBzU4p6SAt7dtZY0erUJBd+2CwYNVGKhlV7HG8NgBQOtF4P1J+3kxTtnErj2xlpcGvcT0JtPL5HGXxVeteAxpM4QPb/qQX+N/pW/LvgxpNaRCnviMePYl7yMsIIwmDZuUXJ/eYzomaSoJ0ywoKuDB7x4kvSgdgWB61+n888Z/XpXH2ze9zWP/fQwTJnqG9WTpvqXM7D2TqKAo91kEfvxx1fmDOrXqgQegbVv3W+js1EnZEMyZo6yI581TnjS2cFq/XoUuNmyopA8pHcfvuefg5EllTTFhAowZo6672yLwmjXKVtrbW1k5lH6yt6Xcjz6ylqu7gbo/9iftL0mbMHHg/AHo7kJCLsKgloO4teOtAKRfLhs/vu/iPsYuH4sJEz74EHd/HIE+gZWWE58RT2pRasnrtUfWlgwApSGlZN5v89h0bBODWw8m/ol4hiwawu7U3exO3c2Pp39kxaQVFe5zFIymSi4WFcF99yn5o1071RlY/rB9fUuTr/hE62ysWgWvv64WkN97T+0AtmDIEPVT2nPHFoSHw6xZ1nscuY+gUSPF2WRS5QrhuLIdiehoNQhq0QYawmMHAK0XgbtElvX76Bndk/TL6U5ZfHWXReDq0iv+XEExKiqkgALWHV7H4NaDK+UU4B2AF14l+btEdqnQnhLJ8gPLeWv7WwDsvbSXJkFNOJF1ouR7OJR2iAtZFzRpm5SMRFoLMFwpt5i3YoXq/EGF8r33HjzxhMrzxBNqm39CgrISbt4cLlyw3lt+UfHoUbUg2LatdbBw1MJlfr41aig7Wx19uGOHYxamHZX+5hu112HwYOs6h9Y8EhPVhrr8fDXjCA113d4E/UhIx0BrCSjEP4Qf7vyBA8kH6BzZmWaBzdw2/t5VPLpFd2PpoaWYMGHAQLdm3UrkmfKcQvxDWDt5LRuObiA8MJwJHSdUWm52QdmQ0fTL6QyJHsJPZ3/CCy+GtxqumQTkJQU+hICJstP3wED1h2sJgfT1LXsoyI4d1TtZGgzKhO2++5T9cVGRMhaLja36HnvTpc++BeuC49U4OVOWWrlSRdMALFwI337rHB4jRlgH5TNnYMsW+yUgR3HSJaC6g+ZBzbku8jqgovyhAyZ2mkhWQRZxx+OY2GUi/aP7X7WdWga35IXBLwBVt+dN7W9i4Z6FFFOMRDKu4zhm9pzJ8r+W08ivETfH3FxhkNAcN90EP/6oOo62ba0hgPbi55/VRi9LHPm336oFQkfB31894b75ptKq58xxXNmOwM8/W9NCqCMYe/bUts7iYmvnD3DkiLb1uRk8dgBw5j6AYlMxKw6uoKFvQ0a1HUVKrjrK0WnSS2Yi57LOEewXTFZ+VoU8rpSixnccT9+ovkQFRZWxv6gpJ6Mwsum+TRy9dJRg32ACfQLJvpJNjyY9iAqKIqsgSzN5LCUzkdYSjEXlpu/JyUr2KT2Vt8cREtQMIjzc2vmDisRx9AEoN96o4uqFqH4PgbMloH791KAHqt7oaMVPSx5JSapNtm5V18aOte270yUg94YzrSBmfDeDDac24IUXG49t5IMxHzhNeik2FTN9y3R2puzEiJGFYxcSGxlbJo+7SFGO5NQmpE0Zozdb7/U1+uLj5YMIqpkEZKxMAnLU1H/gQOXzs369evK9+273inTRur4771SLvgkJyhohPNw5PD7/XM3g8vLU5jdboow8RALyaCuIYlMxv5//ndMZpzWtZ8OpDao+iok7F8eC3xeQWZCpaZ0W7Encw86UnQAUUcT87fOdUm9dxDu/vEPMBzG0eb8Nv5791dV0KsfIkbBsmVqgdfeDULRA//5KQouJcV6dXl5qHWDQIBwSZXT8ODz/vDrq0RIC7Kao1QxACDEXuAW4ApwEpkopK5yiLYQYBbwPeAELpZSai49FpiLGfjGWP5L/wISJZ/o+w71d79VE5ujQqANHM4+W1D1/z3zWHVnHf+/9r+bSi6HcGB7gHeC20UjVcdqRsIN9iftoE96Gzo07O7S+pNwkFh1cBKiB+oWNLzAgeoBjJCBnW0G4yu6gvvOwhVN+vhpMrlxR1w8eVPsC7Cm3DklAm4HnpJRFQoi3gOeAf5TOIITwAj4EhgPngN+FEGullLa7h9UAJ9NOsjd5LyZU4PYXe7/g8b6PA463Wlh5x0re2fYOiw8tLqk/PjceP6MfRoNRU5uH7lHdmd1/Nov2LCImNIZXhr3itpYUV+N0MeciM75XZ/gaMPB036cd+n1Zfg8saOTbyO62kYHFGGmkJCCtrQUcVa4ncHIXHrZwysuzdv6gBoCICPvKrStRQFLKTaVe7gQmVpKtN3BCSnkKQAjxFTAO0HQACG8QjsA6nWvRqAXZBdlIJGl5afh4+TgsbRAG7ul+D2cyz7D1vFpM6tioI1eKr5BXmOfw+sqnR7QZwT1d7kEiScpOqvA5LU+5WvOwJ12e0/azVh8aEya2Ht/K1G5THVef8OLZPs/ywW8fEOofynODnyO7INuutsnITaNI+qgZQFqaitOXDkpbnigdXa4ncHIXHrZwiohQRzweNSsCkybZX67R6DQrCOGo06mEEOuAr6WUy8pdnwiMklI+YH49BegjpXy0ujJ79uwpd+/eXWNOP576kVfjXqVFoxbMHTGXxgGNASUPGQ1Gh6ellCzb2+btOwAABs5JREFUv4zcwlymdp1KgE+ApvXZk3YXHlVxuphzkQ7zOlBQXIC3lzdzR8xlZs+Zbtc2fpZnpqIi9YfqyLRW5XoCJ3fhYQun/Hy1kB8ZqRb2a1Ju6bSdEELskVLaFD9b7QAghNgCNKnkrReklN+Z87wA9AQmyHIF2jsACCFmADMAWrRo0ePMmTO2fA4dHoATaSdYfXg11zS+hpvb3+xqOjp01EnYMwBUO8xIKYdVU9l9wBhgaPnO34zzQHSp183N16qq71PgU1AzgOr46fActAttxzMDnnE1DR066g1qJTKZo3ueBcZKKfOqyPY7ECOEaC2E8AEmA2trU68OHTp06Kg9arvK8AEQCGwWQuwTQnwCIISIEkJ8DyClLAIeBTYCh4EVUsqDtaxXhw4dOnTUErWNAmpXxfULwOhSr78Hvq9NXTp06NChw7Hw6J3AOnTo0KGjaugDgA4dOnTUU+gDgA4dOnTUU+gDgA4dOnTUU+gDgA4dOnTUU+gDgA4dOnTUU+gDgA4dOnTUU+gDgA4dOnTUU+gDgA4dOnTUU+gDgA4dOnTUUzjsPAAtIIRIAWrjBx0OXHIQHUfBHTmBzste6LxshztyAs/l1VJK2diWjG49ANQWQojdtvpiOwvuyAl0XvZC52U73JET6LxAl4B06NCho95CHwB06NCho57C0weAT11NoBK4IyfQedkLnZftcEdOoPPy7DUAHTp06NBRNTx9BqBDhw4dOqqARw0AQoi5QogjQoj9QojVQojgKvKNEkIcFUKcEELM1pjTbUKIg0IIkxCiypV9IUS8EOKA+WjN3VpyspOX09rKXF+oEGKzEOK4+f+QKvIVm9tqnxBCszOmq/v8QghfIcTX5vd/E0K00oqLHZzuE0KklGqfB7TmZK73/4QQyUKIv6p4Xwgh5pl57xdCdHcDToOFEJml2uolrTmZ640WQmwVQhwy/x0+UUke7dtLSukxP8AIwGhOvwW8VUkeL+Ak0AbwAf4ErtGQUyegAxAH9LxKvngg3IltVS0vZ7eVuc63gdnm9OzKvkPzezlOaKNqPz/wMPCJOT0Z+NoNON0HfOCs36VS9d4AdAf+quL90cB/AQH0BX5zA06DgfUuaKumQHdzOhA4Vsn3qHl7edQMQEq5SapD6AF2As0rydYbOCGlPCWlvAJ8BYzTkNNhKeVRrcqvKWzk5dS2MmMc8Lk5/Tlwq8b1XQ22fP7SfFcCQ4UQwsWcXAIp5TYg7SpZxgFLpMJOIFgI0dTFnFwCKWWilPIPczobOAw0K5dN8/byqAGgHO5HjZ7l0Qw4W+r1OSo2vCsggU1CiD1CiBmuJmOGK9oqUkqZaE5fBCKryOcnhNgthNgphNBqkLDl85fkMT98ZAJhGvGxlRPA38yywUohRLSGfOyBu/7t9RNC/CmE+K8QItbZlZtlw27Ab+Xe0ry9jI4szBkQQmwBmlTy1gtSyu/MeV4AioAv3IWTDbheSnleCBEBbBZCHDE/vbial8NxNV6lX0gppRCiqjC1lub2agP8JIQ4IKU86WiudRTrgOVSygIhxIOoGcoQF3NyV/yB+l3KEUKMBtYAMc6qXAjREFgF/F1KmeWsei2ocwOAlHLY1d4XQtwHjAGGSrOQVg7ngdJPRM3N1zTjZGMZ583/JwshVqOm+rUaABzAy+FtBVfnJYRIEkI0lVImmqe7yVWUYWmvU0KIONQTlKMHAFs+vyXPOSGEEWgEpDqYh12cpJSl61+IWldxB2jy+1QblO50pZTfCyE+EkKESyk19wgSQnijOv8vpJTfVpJF8/byKAlICDEKeBYYK6XMqyLb70CMEKK1EMIHtXCnWRSJLRBCBAghAi1p1GJ2pVELToYr2motcK85fS9QYaYihAgRQvia0+HAAOCQBlxs+fyl+U4EfqriwcNpnMrpxGNR+rI7YC1wjzm6pS+QWUrucwmEEE0sazZCiN6oPlHLAdxSrwA+Aw5LKf+nimzat5ezV7+1/AFOoDSzfeYfS3RGFPB9qXyjUavuJ1FyiJacxqO0uwIgCdhYnhMqouNP889BrTnZysvZbWWuLwz4ETgObAFCzdd7AgvN6f7AAXN7HQCmacinwucHXkM9ZAD4Ad+Yf/d2AW2c0EbVcXrT/Hv0J7AV6Kg1J3O9y4FEoND8uzUNmAnMNL8vgA/NvA9wlag4J3J6tFRb7QT6O6mtrket++0v1V+NdnZ76TuBdejQoaOewqMkIB06dOjQYTv0AUCHDh066in0AUCHDh066in0AUCHDh066in0AUCHDh066in0AUCHDh066in0AUCHDh066in0AUCHDh066in+P0+BW1S+zR6eAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.svm import LinearSVC, SVC\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "\n",
+    "\n",
+    "def train_and_plot_decision_surface(clf, preproc, features, labels, marker=\".\", N=400):\n",
+    "    \n",
+    "    features = np.array(features)\n",
+    "    xmin, ymin = features.min(axis=0)\n",
+    "    xmax, ymax = features.max(axis=0)\n",
+    "    \n",
+    "    x = np.linspace(xmin, xmax, N)\n",
+    "    y = np.linspace(ymin, ymax, N) \n",
+    "    points = np.array(np.meshgrid(x, y)).T.reshape(-1, 2)\n",
+    "  \n",
+    "\n",
+    "    if preproc is not None:\n",
+    "        points_for_clf = preproc.fit_transform(points)\n",
+    "        features = preproc.fit_transform(features)\n",
+    "    else:\n",
+    "        points_for_clf = points\n",
+    "    \n",
+    "    clf.fit(features, labels)\n",
+    "    predicted = clf.predict(features)\n",
+    "    print(sum(predicted == labels), \"out of\", len(labels), \"predicted correctly\")\n",
+    "    classes = np.array(clf.predict(points_for_clf), dtype=bool) \n",
+    "    plt.plot(points[classes][:, 0], points[classes][:, 1], \"g\" + marker, markersize=1, alpha=.05);\n",
+    "    plt.plot(points[~classes][:, 0], points[~classes][:, 1], \"r\" + marker, markersize=1, alpha=.05);\n",
+    "\n",
+    "\n",
+    "df = pd.read_csv(\"2d_points.csv\")\n",
+    "df = pd.read_csv(\"xor.csv\")\n",
+    "\n",
+    "features = df.iloc[:, :-1]\n",
+    "labels = df.iloc[:, -1]\n",
+    "\n",
+    "plt.figure(figsize=(6, 6));\n",
+    "\n",
+    "clf = LinearSVC()\n",
+    "# clf = LogisticRegression()\n",
+    "# clf = SVC(gamma=.1)\n",
+    "# clf = DecisionTreeClassifier(max_depth=6)\n",
+    "# clf = KNeighborsClassifier(10)\n",
+    "\n",
+    "preproc = PolynomialFeatures()\n",
+    "# preproc = None\n",
+    "\n",
+    "train_and_plot_decision_surface(clf, preproc, features, labels)\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in labels]\n",
+    "plt.scatter(features.iloc[:, 0], features.iloc[:, 1], color=colors, marker='.');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- modify the script to use the `xor.csv` data set.\n",
+    "\n",
+    "- play with the other classifiers which are outcommented in the script and play with their parameters and deactivate the feature engineering step.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 369,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/uweschmitt/Projects/machinelearning-introduction-workshop/venv3.6/lib/python3.6/site-packages/ipykernel_launcher.py:9: UserWarning: get_ipython_dir has moved to the IPython.paths module since IPython 4.0.\n",
+      "  if __name__ == '__main__':\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "    \n",
+       "    @import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
+       "    \n",
+       "    @import url('http://fonts.googleapis.com/css?family=Kameron');\n",
+       "    @import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "    \n",
+       "    @import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "    @import url('http://fonts.googleapis.com/css?family=Source+Sans+Pro');\n",
+       "    \n",
+       "    @import url('http://fonts.googleapis.com/css?family=Lora'); \n",
+       "\n",
+       "    \n",
+       "    body {\n",
+       "        font-family: 'Lora', Consolas, sans-serif;\n",
+       "       \n",
+       "        -webkit-print-color-adjust: exact important !;\n",
+       "        \n",
+       "      \n",
+       "       \n",
+       "    }\n",
+       "    .rendered_html code\n",
+       "    {\n",
+       "        color: black;\n",
+       "        background: #eaf0ff;\n",
+       "        background: #f5f5f5; \n",
+       "        padding: 1pt;\n",
+       "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
+       "    }\n",
+       "    \n",
+       "    p {\n",
+       "      line-height: 140%;\n",
+       "    }\n",
+       "    \n",
+       "    strong code {\n",
+       "        background: red;\n",
+       "    }\n",
+       "    \n",
+       "    em  {\n",
+       "        color: green;\n",
+       "    }\n",
+       "    \n",
+       "    .rendered_html strong code\n",
+       "    {\n",
+       "        background: #f5f5f5;\n",
+       "    }\n",
+       "    \n",
+       "    .CodeMirror pre {\n",
+       "    font-family: 'Source Code Pro', monocco, Consolas, monocco, monospace;\n",
+       "    }\n",
+       "    \n",
+       "    .cm-s-ipython span.cm-keyword {\n",
+       "        font-weight: normal;\n",
+       "     }\n",
+       "     \n",
+       "     strong {\n",
+       "         background: #f5f5f5;\n",
+       "         margin-top: 4pt;\n",
+       "         margin-bottom: 4pt;\n",
+       "         padding: 2pt;\n",
+       "         border: 0.5px solid #a0a0a0;\n",
+       "         font-weight: bold;\n",
+       "         color: darkred;\n",
+       "     }\n",
+       "     \n",
+       "    \n",
+       "    div #notebook {\n",
+       "        # font-size: 10pt; \n",
+       "        line-height: 145%;\n",
+       "        }\n",
+       "        \n",
+       "    li {\n",
+       "        line-height: 145%;\n",
+       "    }\n",
+       "\n",
+       "    div.output_area pre {\n",
+       "        background: #fff9d8 !important;\n",
+       "        padding: 5pt;\n",
+       "       \n",
+       "       -webkit-print-color-adjust: exact; \n",
+       "        \n",
+       "    }\n",
+       " \n",
+       "    \n",
+       " \n",
+       "    h1, h2, h3, h4 {\n",
+       "        font-family: Kameron, arial;\n",
+       "    }\n",
+       "    \n",
+       "    div#maintoolbar {display: none !important;}\n",
+       "    </style>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 369,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#REMOVEBEGIN\n",
+    "# THE LINES BELOW ARE JUST FOR STYLING THE CONTENT ABOVE !\n",
+    "\n",
+    "from IPython import utils\n",
+    "from IPython.core.display import HTML\n",
+    "import os\n",
+    "def css_styling():\n",
+    "    \"\"\"Load default custom.css file from ipython profile\"\"\"\n",
+    "    base = utils.path.get_ipython_dir()\n",
+    "    styles = \"\"\"<style>\n",
+    "    \n",
+    "    @import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
+    "    \n",
+    "    @import url('http://fonts.googleapis.com/css?family=Kameron');\n",
+    "    @import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+    "    \n",
+    "    @import url('http://fonts.googleapis.com/css?family=Lato');\n",
+    "    @import url('http://fonts.googleapis.com/css?family=Source+Sans+Pro');\n",
+    "    \n",
+    "    @import url('http://fonts.googleapis.com/css?family=Lora'); \n",
+    "\n",
+    "    \n",
+    "    body {\n",
+    "        font-family: 'Lora', Consolas, sans-serif;\n",
+    "       \n",
+    "        -webkit-print-color-adjust: exact important !;\n",
+    "        \n",
+    "      \n",
+    "       \n",
+    "    }\n",
+    "    .rendered_html code\n",
+    "    {\n",
+    "        color: black;\n",
+    "        background: #eaf0ff;\n",
+    "        background: #f5f5f5; \n",
+    "        padding: 1pt;\n",
+    "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
+    "    }\n",
+    "    \n",
+    "    p {\n",
+    "      line-height: 140%;\n",
+    "    }\n",
+    "    \n",
+    "    strong code {\n",
+    "        background: red;\n",
+    "    }\n",
+    "    \n",
+    "    em  {\n",
+    "        color: green;\n",
+    "    }\n",
+    "    \n",
+    "    .rendered_html strong code\n",
+    "    {\n",
+    "        background: #f5f5f5;\n",
+    "    }\n",
+    "    \n",
+    "    .CodeMirror pre {\n",
+    "    font-family: 'Source Code Pro', monocco, Consolas, monocco, monospace;\n",
+    "    }\n",
+    "    \n",
+    "    .cm-s-ipython span.cm-keyword {\n",
+    "        font-weight: normal;\n",
+    "     }\n",
+    "     \n",
+    "     strong {\n",
+    "         background: #f5f5f5;\n",
+    "         margin-top: 4pt;\n",
+    "         margin-bottom: 4pt;\n",
+    "         padding: 2pt;\n",
+    "         border: 0.5px solid #a0a0a0;\n",
+    "         font-weight: bold;\n",
+    "         color: darkred;\n",
+    "     }\n",
+    "     \n",
+    "    \n",
+    "    div #notebook {\n",
+    "        # font-size: 10pt; \n",
+    "        line-height: 145%;\n",
+    "        }\n",
+    "        \n",
+    "    li {\n",
+    "        line-height: 145%;\n",
+    "    }\n",
+    "\n",
+    "    div.output_area pre {\n",
+    "        background: #fff9d8 !important;\n",
+    "        padding: 5pt;\n",
+    "       \n",
+    "       -webkit-print-color-adjust: exact; \n",
+    "        \n",
+    "    }\n",
+    " \n",
+    "    \n",
+    " \n",
+    "    h1, h2, h3, h4 {\n",
+    "        font-family: Kameron, arial;\n",
+    "    }\n",
+    "    \n",
+    "    div#maintoolbar {display: none !important;}\n",
+    "    </style>\"\"\"\n",
+    "    return HTML(styles)\n",
+    "css_styling()\n",
+    "#REMOVEEND"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/2d_points.csv b/2d_points.csv
new file mode 100644
index 0000000..a2daec8
--- /dev/null
+++ b/2d_points.csv
@@ -0,0 +1,201 @@
+a,b,label
+-3.5917816146358463,3.6125988632537553,1
+6.5805856229887265,-2.1055567198515193,1
+-0.6709379386136889,-5.905073992793381,1
+-5.311555272572639,-3.791081462136176,1
+4.299831703773508,6.414946116559263,1
+3.2010167451214593,4.774052598321933,1
+5.820775108310813,2.2239136946409475,1
+4.845673615204521,-5.415136108888261,1
+-4.57686095669072,-3.374526063413908,1
+-1.3621432238218694,-5.050474858002483,1
+5.820232746455432,0.7569924072879737,1
+5.385950222178576,-1.030586994391651,1
+3.856734971572833,-6.767242012242943,1
+1.740479696993623,7.217469691110003,1
+2.866183753725505,6.276775147641209,1
+3.0939369039554157,6.957468230773837,1
+-2.4771651110111828,6.98475587149962,1
+-5.492585509922662,-0.8613255276742553,1
+-6.986400202906336,3.1838555638719734,1
+-1.6952914790692735,6.397207558278538,1
+-5.6635292815126235,-4.797424013980136,1
+4.919504457013532,5.908301909628176,1
+-1.5582763979257495,5.746478470130302,1
+-3.5589773273819008,3.9679013286423963,1
+-5.468659820371143,1.5490011588839134,1
+1.377004770354051,-6.128530092049543,1
+2.317952193873049,7.084481210363889,1
+-7.551886653778589,-0.6772294284409007,1
+-4.197947795731992,-2.754311748752296,1
+6.256002147928836,1.87952692618358,1
+-4.878330908453457,-3.910537706254482,1
+2.7134053493930277,4.974399726525415,1
+4.918103846826795,2.130146691759119,1
+5.70540490008807,-1.8980690461142307,1
+7.64690962374965,-1.6774303893670501,1
+2.1415578888572187,-5.572249006164153,1
+-2.2059151357613147,6.174135603386108,1
+5.811848888283329,4.0940325078960615,1
+-2.4458935812785887,-5.5782193440181,1
+-7.362291319556814,2.9067804792045453,1
+5.680009024159713,5.472445476530583,1
+-5.752704364810148,0.1743854531634307,1
+6.340797315231342,1.3917791755290976,1
+4.970208872458127,-3.184041908409084,1
+-0.3228082112055793,5.845615164825434,1
+-2.6697027980144954,-4.3579285460957005,1
+-2.581922816234954,6.32176578858672,1
+-6.456370053496591,-0.8184327905986927,1
+-4.934033895621977,-1.4911480848076168,1
+2.3226279840627395,5.353838608235318,1
+7.584166687513441,-1.4672813334559038,1
+0.8993130145372875,-5.647530603461342,1
+5.0467184298746846,-2.0165391064705096,1
+5.106702061424956,-3.9700444462316695,1
+-6.498458616781209,-4.591634849211768,1
+5.050014420821527,-2.6993201523787778,1
+5.959492098586519,3.7032980025702216,1
+2.425283092796082,6.869291835825596,1
+5.483792156624149,1.6016848390217426,1
+-3.2750420207041167,6.39478550652392,1
+-4.6702168558799775,3.929369974314868,1
+-0.9223800180996259,6.834960569794215,1
+3.2763122136710723,-6.073212383173146,1
+-4.106943549805128,5.175881162644238,1
+-1.0180459793240293,5.1716192501771365,1
+-7.237433093993993,-1.9895249206471786,1
+3.773796673023168,4.616054513389198,1
+1.7908193188989834,-5.2632332146267125,1
+4.570572927265045,2.3125918084941097,1
+6.749703970840471,-0.5573821260630697,1
+0.9797483027029387,-6.964112671300475,1
+1.5991667049272742,4.789861910567422,1
+6.532345232533889,0.2267404136782541,1
+2.2706988411209106,-5.205814350753677,1
+-1.8570939404838598,-6.682261381737777,1
+-0.7263964293269388,-5.475123191462124,1
+0.9424385094831162,-7.009742963927036,1
+5.505472191632761,2.7636776926548885,1
+-4.9201592299867976,6.065566788014642,1
+4.04041773055769,3.601508153216384,1
+3.9290917821034936,-4.565212437738598,1
+-3.8164110438185017,-3.735652358296004,1
+-3.7835713090745227,6.791238567939643,1
+7.031487772663674,2.967470197530095,1
+-2.158580152863978,5.355145703423156,1
+-3.1759933982148074,6.215528761473005,1
+-0.9522320068833439,-7.390574357356731,1
+-4.327131935526627,-5.0701267273447685,1
+5.002546590297667,-4.288217879137794,1
+-5.638527208272364,0.994491037722302,1
+3.857651078534841,3.6041121401551908,1
+-1.7605602731916257,-7.487447182447238,1
+0.5214720068759414,-7.683578772937568,1
+-6.3942230525322055,-2.591199021587805,1
+0.7904044651006294,-5.964949732057827,1
+-6.043033994338372,0.2356975279061092,1
+-7.104771030753016,-1.0217650394466733,1
+-6.907898977053042,3.3819374459052995,1
+7.563754071573293,1.218407973443706,1
+5.716764152162595,4.603121420027714,1
+-0.16216084771146205,-0.20119360587067087,0
+2.2940709747458286,1.340030587356789,0
+1.4250018595901492,2.2970694521768342,0
+2.5613337948198023,-1.896705347336356,0
+-2.8485285957102375,-2.2507999604806948,0
+4.8711159779456485,0.2817998477402617,0
+2.0743601554684408,1.5366135450409564,0
+-0.8350386401230959,-1.3821116289459452,0
+3.9739204702994884,0.1264246989435274,0
+0.7197815832046214,1.1470253617821757,0
+-2.092763062732692,-0.6616195796451286,0
+-0.1400552518536926,-0.3664281931856161,0
+-0.07323467187212374,-0.10345621116535936,0
+0.7747747776869397,4.750476113076269,0
+-0.9839682947546611,-4.062434669284869,0
+0.27849640107709905,3.4687090023928118,0
+-0.9328763014080771,1.8195616436105453,0
+-0.019099950822143982,-0.8662610611697897,0
+-0.46121530454213505,-0.631738989494859,0
+0.7304974420520377,-1.0158302954730334,0
+-1.5060614107524284,-2.2963073090611448,0
+-3.2489131533929307,-1.4868579757997193,0
+2.7455368721178592,1.832632448000862,0
+-0.9433979239702917,1.0339608423591713,0
+-0.4553471197477052,4.752562635666939,0
+0.1392972612660448,3.6868540471154843,0
+2.7320114066963215,-0.467786342336441,0
+-2.3941926282192245,1.9033913006312024,0
+1.6335992935705574,-1.316418876262759,0
+-0.8414361995264812,-0.9089836088219613,0
+0.494539265295189,-1.7097791125566932,0
+-3.7887104105151557,-0.06278219415885071,0
+-0.06372803880715458,-0.03343725382214554,0
+-0.5797219625866298,0.027274401018198457,0
+0.07758369686795197,0.2165337082415577,0
+-0.03507268785807108,-0.20060107184373166,0
+-0.8218667649817402,4.197601135235432,0
+3.477306706100912,0.5354415452573285,0
+-1.4475568115124415,-1.8776580578548727,0
+0.21627932892425886,0.4387611270808085,0
+2.2880622056589606,-0.8982903537872788,0
+2.2688620151439927,-0.6757611259822917,0
+0.7450347542375506,-0.44146960086322845,0
+-1.4865355194872005,1.5798397032501899,0
+1.9831346420190659,0.1932034550724729,0
+2.7721826272450096,-1.3404428607643342,0
+-2.857636935443013,1.384741773581515,0
+0.22156653582001964,-0.04711266008573048,0
+1.8243420648362911,-0.4244305672320077,0
+1.8868954778290647,-2.49642570652403,0
+-0.6934833173775713,2.418208687431302,0
+-3.2140509508237187,2.8300614281282104,0
+1.9548319175350106,-2.65057817892064,0
+-0.3325505959482071,0.7437074622076449,0
+0.17096837141451846,0.3086559876586053,0
+-3.009692144724757,-1.1221926836600655,0
+0.12203315484790604,-0.051760494430836745,0
+-0.9742707154257454,-2.7620865959398158,0
+-4.25295915451197,-2.003287573540973,0
+2.3574783401389947,1.6497148574294471,0
+-1.4557945114254458,-1.283572993944234,0
+3.210162330576195,-0.2008758597194616,0
+1.459574774043082,1.7662203345202532,0
+-2.71001154612015,-0.3134955174818411,0
+3.3778395520716957,-3.2785819517857955,0
+-0.11191178762605476,-1.9272666978672768,0
+-1.5705592269335926,-4.542083906567239,0
+-1.3314806574012261,-4.326505966853948,0
+-0.6215950103550806,0.7562895309692436,0
+-0.0938055769785819,0.33387911765352446,0
+0.18361222477253308,-0.4692458736683744,0
+0.03359985353144053,-0.08468720738430707,0
+0.3168667808836888,-0.35011750039244555,0
+2.9200661201925344,-1.7707823601502486,0
+-0.3550397249343122,-0.02534532419243269,0
+-1.5948057710334014,-0.015194430266229856,0
+1.2622945030831707,-4.031373198381579,0
+-0.06841583555419886,-0.09412145487470455,0
+-1.2104642725663632,-3.888283551016885,0
+0.3999101519090195,-1.3513418227688379,0
+0.45525046255443535,-0.3765901997070105,0
+-1.8294532002719124,2.9646530872948107,0
+-2.2317786046228347,2.2154890820848943,0
+3.6444005014991405,2.442800308611681,0
+-3.2396835270959774,-1.7357092585557996,0
+3.915395326388329,0.8995663262922738,0
+-1.3773574846205137,0.3024464625298839,0
+-0.8555400389121052,-0.2348851511636654,0
+-0.8541380985315248,3.654587629700325,0
+-3.394801658121097,-2.179421738496269,0
+4.861861948614829,0.9432970374466217,0
+2.0065435712695243,0.4797046790385753,0
+0.8193819112941206,-1.6698951126843742,0
+-2.4781024033926835,2.9882161264713174,0
+1.1892222995050137,1.2204206850855843,0
+-4.608410642625813,-0.6482910828097549,0
+0.5377657411418209,-4.258241341307641,0
+0.4571058572489042,2.0956982424372774,0
+-2.689683100902595,-2.619310754354585,0
+3.2431333385797614,1.9275528187294393,0
diff --git a/classifier_examples.ipynb b/classifier_examples.ipynb
new file mode 100644
index 0000000..b33e955
--- /dev/null
+++ b/classifier_examples.ipynb
@@ -0,0 +1,694 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Looking in indexes: https://cosmo-pypi.phys.ethz.ch/simple/, https://pypi.org/simple/\n",
+      "Requirement already satisfied: graphviz in ./venv3.6/lib/python3.6/site-packages (0.10.1)\n",
+      "\u001b[33mYou are using pip version 10.0.1, however version 18.1 is available.\n",
+      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install graphviz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>alcohol_content</th>\n",
+       "      <th>bitterness</th>\n",
+       "      <th>darkness</th>\n",
+       "      <th>fruitiness</th>\n",
+       "      <th>is_yummy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3.739295</td>\n",
+       "      <td>0.422503</td>\n",
+       "      <td>0.989463</td>\n",
+       "      <td>0.215791</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.207849</td>\n",
+       "      <td>0.841668</td>\n",
+       "      <td>0.928626</td>\n",
+       "      <td>0.380420</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4.709494</td>\n",
+       "      <td>0.322037</td>\n",
+       "      <td>5.374682</td>\n",
+       "      <td>0.145231</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4.684743</td>\n",
+       "      <td>0.434315</td>\n",
+       "      <td>4.072805</td>\n",
+       "      <td>0.191321</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4.148710</td>\n",
+       "      <td>0.570586</td>\n",
+       "      <td>1.461568</td>\n",
+       "      <td>0.260218</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   alcohol_content  bitterness  darkness  fruitiness  is_yummy\n",
+       "0         3.739295    0.422503  0.989463    0.215791         0\n",
+       "1         4.207849    0.841668  0.928626    0.380420         0\n",
+       "2         4.709494    0.322037  5.374682    0.145231         1\n",
+       "3         4.684743    0.434315  4.072805    0.191321         1\n",
+       "4         4.148710    0.570586  1.461568    0.260218         0"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# read some data\n",
+    "beer_data = pd.read_csv(\"beers.csv\")\n",
+    "beer_data.head(5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   alcohol_content  bitterness  darkness  fruitiness\n",
+      "0         3.739295    0.422503  0.989463    0.215791\n",
+      "1         4.207849    0.841668  0.928626    0.380420\n",
+      "2         4.709494    0.322037  5.374682    0.145231\n",
+      "3         4.684743    0.434315  4.072805    0.191321\n",
+      "4         4.148710    0.570586  1.461568    0.260218\n",
+      "\n",
+      "0    0\n",
+      "1    0\n",
+      "2    1\n",
+      "3    1\n",
+      "4    0\n",
+      "Name: is_yummy, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# all columns up to the last one:\n",
+    "input_features = beer_data.iloc[:, :-1]\n",
+    "\n",
+    "# only the last column:\n",
+    "labels = beer_data.iloc[:, -1]\n",
+    "\n",
+    "print(input_features.head(5))\n",
+    "print()\n",
+    "print(labels.head(5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(225,)\n",
+      "209\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg height=\"831pt\" viewBox=\"0.00 0.00 808.52 831.00\" width=\"809pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<g class=\"graph\" id=\"graph0\" transform=\"scale(1 1) rotate(0) translate(4 827)\">\n",
+       "<title>Tree</title>\n",
+       "<polygon fill=\"white\" points=\"-4,4 -4,-827 804.522,-827 804.522,4 -4,4\" stroke=\"none\"/>\n",
+       "<!-- 0 -->\n",
+       "<g class=\"node\" id=\"node1\"><title>0</title>\n",
+       "<polygon fill=\"none\" points=\"119.416,-528 -0.138995,-528 -0.138995,-450 119.416,-450 119.416,-528\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"59.6387\" y=\"-512.8\">darkness &lt;= 1.184</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"59.6387\" y=\"-498.8\">gini = 0.498</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"59.6387\" y=\"-484.8\">samples = 225</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"59.6387\" y=\"-470.8\">value = [106, 119]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"59.6387\" y=\"-456.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 1 -->\n",
+       "<g class=\"node\" id=\"node2\"><title>1</title>\n",
+       "<polygon fill=\"none\" points=\"279.197,-595 155.304,-595 155.304,-517 279.197,-517 279.197,-595\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-579.8\">bitterness &lt;= 0.655</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-565.8\">gini = 0.171</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-551.8\">samples = 53</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-537.8\">value = [48, 5]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-523.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 0&#45;&gt;1 -->\n",
+       "<g class=\"edge\" id=\"edge1\"><title>0-&gt;1</title>\n",
+       "<path d=\"M119.469,-514.33C128.156,-518.07 137.18,-521.955 146.069,-525.783\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"144.696,-529.002 155.265,-529.742 147.464,-522.573 144.696,-529.002\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"132.037\" y=\"-534.788\">True</text>\n",
+       "</g>\n",
+       "<!-- 10 -->\n",
+       "<g class=\"node\" id=\"node11\"><title>10</title>\n",
+       "<polygon fill=\"none\" points=\"279.197,-462 155.304,-462 155.304,-384 279.197,-384 279.197,-462\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-446.8\">bitterness &lt;= 0.203</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-432.8\">gini = 0.447</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-418.8\">samples = 172</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-404.8\">value = [58, 114]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"217.25\" y=\"-390.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 0&#45;&gt;10 -->\n",
+       "<g class=\"edge\" id=\"edge10\"><title>0-&gt;10</title>\n",
+       "<path d=\"M119.469,-464.048C128.065,-460.402 136.99,-456.617 145.789,-452.885\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"147.425,-455.993 155.265,-448.866 144.692,-449.548 147.425,-455.993\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"132.088\" y=\"-435.294\">False</text>\n",
+       "</g>\n",
+       "<!-- 2 -->\n",
+       "<g class=\"node\" id=\"node3\"><title>2</title>\n",
+       "<polygon fill=\"none\" points=\"474.782,-741 315.371,-741 315.371,-663 474.782,-663 474.782,-741\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-725.8\">alcohol_content &lt;= 4.932</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-711.8\">gini = 0.042</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-697.8\">samples = 47</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-683.8\">value = [46, 1]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-669.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 1&#45;&gt;2 -->\n",
+       "<g class=\"edge\" id=\"edge2\"><title>1-&gt;2</title>\n",
+       "<path d=\"M265.369,-595.125C288.033,-613.946 315.347,-636.626 338.97,-656.242\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"336.899,-659.071 346.828,-662.767 341.371,-653.686 336.899,-659.071\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 7 -->\n",
+       "<g class=\"node\" id=\"node8\"><title>7</title>\n",
+       "<polygon fill=\"none\" points=\"474.782,-595 315.371,-595 315.371,-517 474.782,-517 474.782,-595\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-579.8\">alcohol_content &lt;= 4.444</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-565.8\">gini = 0.444</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-551.8\">samples = 6</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-537.8\">value = [2, 4]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-523.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 1&#45;&gt;7 -->\n",
+       "<g class=\"edge\" id=\"edge7\"><title>1-&gt;7</title>\n",
+       "<path d=\"M279.252,-556C287.593,-556 296.292,-556 305.005,-556\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"305.221,-559.5 315.221,-556 305.221,-552.5 305.221,-559.5\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 3 -->\n",
+       "<g class=\"node\" id=\"node4\"><title>3</title>\n",
+       "<polygon fill=\"none\" points=\"636.319,-823 538.243,-823 538.243,-759 636.319,-759 636.319,-823\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-807.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-793.8\">samples = 43</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-779.8\">value = [43, 0]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-765.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 2&#45;&gt;3 -->\n",
+       "<g class=\"edge\" id=\"edge3\"><title>2-&gt;3</title>\n",
+       "<path d=\"M474.813,-738.842C492.921,-747.315 511.846,-756.171 528.854,-764.129\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"527.547,-767.381 538.088,-768.449 530.513,-761.041 527.547,-767.381\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 4 -->\n",
+       "<g class=\"node\" id=\"node5\"><title>4</title>\n",
+       "<polygon fill=\"none\" points=\"649.228,-741 525.335,-741 525.335,-663 649.228,-663 649.228,-741\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-725.8\">bitterness &lt;= 0.524</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-711.8\">gini = 0.375</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-697.8\">samples = 4</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-683.8\">value = [3, 1]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-669.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 2&#45;&gt;4 -->\n",
+       "<g class=\"edge\" id=\"edge4\"><title>2-&gt;4</title>\n",
+       "<path d=\"M474.813,-702C488.119,-702 501.866,-702 514.968,-702\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"515.318,-705.5 525.318,-702 515.318,-698.5 515.318,-705.5\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 5 -->\n",
+       "<g class=\"node\" id=\"node6\"><title>5</title>\n",
+       "<polygon fill=\"none\" points=\"795.616,-775 704.54,-775 704.54,-711 795.616,-711 795.616,-775\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-759.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-745.8\">samples = 3</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-731.8\">value = [3, 0]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-717.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 4&#45;&gt;5 -->\n",
+       "<g class=\"edge\" id=\"edge5\"><title>4-&gt;5</title>\n",
+       "<path d=\"M649.53,-717.617C664.385,-721.405 680.166,-725.429 694.68,-729.13\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"693.944,-732.554 704.499,-731.633 695.674,-725.771 693.944,-732.554\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 6 -->\n",
+       "<g class=\"node\" id=\"node7\"><title>6</title>\n",
+       "<polygon fill=\"none\" points=\"800.467,-693 699.689,-693 699.689,-629 800.467,-629 800.467,-693\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-677.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-663.8\">samples = 1</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-649.8\">value = [0, 1]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-635.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 4&#45;&gt;6 -->\n",
+       "<g class=\"edge\" id=\"edge6\"><title>4-&gt;6</title>\n",
+       "<path d=\"M649.53,-686.383C662.685,-683.029 676.566,-679.489 689.65,-676.153\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"690.65,-679.51 699.475,-673.648 688.921,-672.727 690.65,-679.51\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 8 -->\n",
+       "<g class=\"node\" id=\"node9\"><title>8</title>\n",
+       "<polygon fill=\"none\" points=\"632.82,-645 541.743,-645 541.743,-581 632.82,-581 632.82,-645\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-629.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-615.8\">samples = 2</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-601.8\">value = [2, 0]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-587.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 7&#45;&gt;8 -->\n",
+       "<g class=\"edge\" id=\"edge8\"><title>7-&gt;8</title>\n",
+       "<path d=\"M474.813,-579.596C494.042,-585.358 514.193,-591.397 531.99,-596.73\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"531.03,-600.096 541.614,-599.614 533.039,-593.391 531.03,-600.096\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 9 -->\n",
+       "<g class=\"node\" id=\"node10\"><title>9</title>\n",
+       "<polygon fill=\"none\" points=\"637.67,-563 536.893,-563 536.893,-499 637.67,-499 637.67,-563\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-547.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-533.8\">samples = 4</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-519.8\">value = [0, 4]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-505.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 7&#45;&gt;9 -->\n",
+       "<g class=\"edge\" id=\"edge9\"><title>7-&gt;9</title>\n",
+       "<path d=\"M474.813,-545.651C492.163,-543.371 510.262,-540.992 526.707,-538.83\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"527.252,-542.289 536.71,-537.515 526.339,-535.349 527.252,-542.289\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 11 -->\n",
+       "<g class=\"node\" id=\"node12\"><title>11</title>\n",
+       "<polygon fill=\"none\" points=\"456.471,-462 333.681,-462 333.681,-384 456.471,-384 456.471,-462\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-446.8\">fruitiness &lt;= 0.072</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-432.8\">gini = 0.133</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-418.8\">samples = 28</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-404.8\">value = [26, 2]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-390.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 10&#45;&gt;11 -->\n",
+       "<g class=\"edge\" id=\"edge11\"><title>10-&gt;11</title>\n",
+       "<path d=\"M279.252,-423C293.597,-423 308.999,-423 323.718,-423\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"323.776,-426.5 333.776,-423 323.776,-419.5 323.776,-426.5\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 16 -->\n",
+       "<g class=\"node\" id=\"node17\"><title>16</title>\n",
+       "<polygon fill=\"none\" points=\"471.282,-276 318.871,-276 318.871,-198 471.282,-198 471.282,-276\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-260.8\">alcohol_content &lt;= 4.63</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-246.8\">gini = 0.346</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-232.8\">samples = 144</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-218.8\">value = [32, 112]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"395.076\" y=\"-204.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 10&#45;&gt;16 -->\n",
+       "<g class=\"edge\" id=\"edge16\"><title>10-&gt;16</title>\n",
+       "<path d=\"M255.539,-383.554C283.139,-354.357 320.837,-314.477 349.941,-283.689\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"352.818,-285.741 357.144,-276.07 347.731,-280.932 352.818,-285.741\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 12 -->\n",
+       "<g class=\"node\" id=\"node13\"><title>12</title>\n",
+       "<polygon fill=\"none\" points=\"636.319,-481 538.243,-481 538.243,-417 636.319,-417 636.319,-481\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-465.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-451.8\">samples = 23</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-437.8\">value = [23, 0]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-423.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 11&#45;&gt;12 -->\n",
+       "<g class=\"edge\" id=\"edge12\"><title>11-&gt;12</title>\n",
+       "<path d=\"M456.52,-431.262C479.348,-434.383 505.263,-437.925 527.899,-441.019\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"527.663,-444.52 538.045,-442.406 528.612,-437.584 527.663,-444.52\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 13 -->\n",
+       "<g class=\"node\" id=\"node14\"><title>13</title>\n",
+       "<polygon fill=\"none\" points=\"663.487,-399 511.076,-399 511.076,-321 663.487,-321 663.487,-399\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-383.8\">alcohol_content &lt;= 5.13</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-369.8\">gini = 0.48</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-355.8\">samples = 5</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-341.8\">value = [3, 2]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-327.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 11&#45;&gt;13 -->\n",
+       "<g class=\"edge\" id=\"edge13\"><title>11-&gt;13</title>\n",
+       "<path d=\"M456.52,-402.98C470.708,-398.28 486.088,-393.186 501.132,-388.203\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"502.562,-391.417 510.954,-384.95 500.361,-384.772 502.562,-391.417\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 14 -->\n",
+       "<g class=\"node\" id=\"node15\"><title>14</title>\n",
+       "<polygon fill=\"none\" points=\"795.616,-474 704.54,-474 704.54,-410 795.616,-410 795.616,-474\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-458.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-444.8\">samples = 3</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-430.8\">value = [3, 0]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-416.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 13&#45;&gt;14 -->\n",
+       "<g class=\"edge\" id=\"edge14\"><title>13-&gt;14</title>\n",
+       "<path d=\"M663.501,-398.359C674.139,-403.784 684.899,-409.271 695.032,-414.438\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"693.64,-417.658 704.139,-419.083 696.82,-411.422 693.64,-417.658\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 15 -->\n",
+       "<g class=\"node\" id=\"node16\"><title>15</title>\n",
+       "<polygon fill=\"none\" points=\"800.467,-392 699.689,-392 699.689,-328 800.467,-328 800.467,-392\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-376.8\">gini = 0.0</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-362.8\">samples = 2</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-348.8\">value = [0, 2]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-334.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 13&#45;&gt;15 -->\n",
+       "<g class=\"edge\" id=\"edge15\"><title>13-&gt;15</title>\n",
+       "<path d=\"M663.501,-360C672.217,-360 681.015,-360 689.483,-360\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"689.619,-363.5 699.619,-360 689.619,-356.5 689.619,-363.5\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 17 -->\n",
+       "<g class=\"node\" id=\"node18\"><title>17</title>\n",
+       "<polygon fill=\"none\" points=\"649.228,-276 525.335,-276 525.335,-198 649.228,-198 649.228,-276\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-260.8\">bitterness &lt;= 0.575</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-246.8\">gini = 0.5</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-232.8\">samples = 53</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-218.8\">value = [27, 26]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-204.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 16&#45;&gt;17 -->\n",
+       "<g class=\"edge\" id=\"edge17\"><title>16-&gt;17</title>\n",
+       "<path d=\"M471.523,-237C485.879,-237 500.859,-237 515.077,-237\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"515.275,-240.5 525.275,-237 515.275,-233.5 515.275,-240.5\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 20 -->\n",
+       "<g class=\"node\" id=\"node21\"><title>20</title>\n",
+       "<polygon fill=\"none\" points=\"647.059,-153 527.504,-153 527.504,-75 647.059,-75 647.059,-153\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-137.8\">darkness &lt;= 1.458</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-123.8\">gini = 0.104</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-109.8\">samples = 91</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-95.8\">value = [5, 86]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"587.281\" y=\"-81.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 16&#45;&gt;20 -->\n",
+       "<g class=\"edge\" id=\"edge20\"><title>16-&gt;20</title>\n",
+       "<path d=\"M456.52,-197.913C476.413,-185.049 498.649,-170.669 519.018,-157.497\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"521.124,-160.304 527.62,-151.934 517.323,-154.425 521.124,-160.304\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 18 -->\n",
+       "<g class=\"node\" id=\"node19\"><title>18</title>\n",
+       "<polygon fill=\"none\" points=\"799.116,-310 701.04,-310 701.04,-246 799.116,-246 799.116,-310\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-294.8\">gini = 0.278</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-280.8\">samples = 24</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-266.8\">value = [20, 4]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-252.8\">class = urgs</text>\n",
+       "</g>\n",
+       "<!-- 17&#45;&gt;18 -->\n",
+       "<g class=\"edge\" id=\"edge18\"><title>17-&gt;18</title>\n",
+       "<path d=\"M649.53,-252.617C663.109,-256.08 677.462,-259.739 690.914,-263.169\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"690.442,-266.661 700.997,-265.74 692.172,-259.878 690.442,-266.661\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 19 -->\n",
+       "<g class=\"node\" id=\"node20\"><title>19</title>\n",
+       "<polygon fill=\"none\" points=\"800.467,-228 699.689,-228 699.689,-164 800.467,-164 800.467,-228\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-212.8\">gini = 0.366</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-198.8\">samples = 29</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-184.8\">value = [7, 22]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-170.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 17&#45;&gt;19 -->\n",
+       "<g class=\"edge\" id=\"edge19\"><title>17-&gt;19</title>\n",
+       "<path d=\"M649.53,-221.383C662.685,-218.029 676.566,-214.489 689.65,-211.153\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"690.65,-214.51 699.475,-208.648 688.921,-207.727 690.65,-214.51\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 21 -->\n",
+       "<g class=\"node\" id=\"node22\"><title>21</title>\n",
+       "<polygon fill=\"none\" points=\"800.467,-146 699.689,-146 699.689,-82 800.467,-82 800.467,-146\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-130.8\">gini = 0.408</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-116.8\">samples = 14</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-102.8\">value = [4, 10]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-88.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 20&#45;&gt;21 -->\n",
+       "<g class=\"edge\" id=\"edge21\"><title>20-&gt;21</title>\n",
+       "<path d=\"M647.243,-114C660.957,-114 675.568,-114 689.316,-114\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"689.631,-117.5 699.631,-114 689.631,-110.5 689.631,-117.5\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "<!-- 22 -->\n",
+       "<g class=\"node\" id=\"node23\"><title>22</title>\n",
+       "<polygon fill=\"none\" points=\"800.467,-64 699.689,-64 699.689,-0 800.467,-0 800.467,-64\" stroke=\"black\"/>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-48.8\">gini = 0.026</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-34.8\">samples = 77</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-20.8\">value = [1, 76]</text>\n",
+       "<text font-family=\"Times,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"750.078\" y=\"-6.8\">class = yummy</text>\n",
+       "</g>\n",
+       "<!-- 20&#45;&gt;22 -->\n",
+       "<g class=\"edge\" id=\"edge22\"><title>20-&gt;22</title>\n",
+       "<path d=\"M647.243,-83.9318C661.36,-76.7328 676.428,-69.0486 690.527,-61.859\" fill=\"none\" stroke=\"black\"/>\n",
+       "<polygon fill=\"black\" points=\"692.313,-64.8769 699.631,-57.2159 689.133,-58.6409 692.313,-64.8769\" stroke=\"black\"/>\n",
+       "</g>\n",
+       "</g>\n",
+       "</svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "\n",
+    "classifier = DecisionTreeClassifier(max_depth=4)\n",
+    "classifier.fit(input_features, labels)\n",
+    "\n",
+    "predicted_labels = classifier.predict(input_features)\n",
+    "print(labels.shape)\n",
+    "print(sum(predicted_labels == labels))\n",
+    "\n",
+    "from IPython.display import SVG\n",
+    "from sklearn import tree\n",
+    "from graphviz import Source\n",
+    "graph = Source( tree.export_graphviz(classifier, out_file=None, rotate=True, feature_names=beer_data.columns[:-1], class_names=[\"urgs\", \"yummy\"]))\n",
+    "SVG(graph.pipe(format='svg'), )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.cluster import KMeans"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
+       "    n_clusters=3, n_init=10, n_jobs=1, precompute_distances='auto',\n",
+       "    random_state=None, tol=0.0001, verbose=0)"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clf = KMeans(n_clusters=3)\n",
+    "clf.fit(input_features)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clf.n_clusters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.manifold import TSNE\n",
+    "\n",
+    "x = TSNE()\n",
+    "y = x.fit_transform(input_features)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "colors = [\"rg\"[i] for i in labels]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x1216dbe80>"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(y[:, 0], y[:, 1], color=colors)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x1218c27b8>"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xv = beer_data[\"alcohol_content\"]\n",
+    "yv = beer_data[\"bitterness\"]\n",
+    "colors\n",
+    "plt.scatter(xv, yv, color=colors)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/cluster-image.png b/cluster-image.png
new file mode 100644
index 0000000000000000000000000000000000000000..3ae2f897260c99a8d046317c5d81e8db975fc751
GIT binary patch
literal 51982
zcmdSB<9}WI`#hY+ZtSG7ZDYr_ZQHhO+cq0Cwrw|P>@;ce+db!ezK`yI;C_%-HnOtT
zeq&uTbIt5X1vzm9SR7ao5D)}O2@xd_5Ks*ekS_z!puktUkqKFVzrHvti333DX7J8{
zPr%KEWQ9OL8sp*K4IzNfVH_khok2hl2mk(j8MUu40RfpPmJ|_E@z}V~h4PU#|Ma&j
zkqGvOsiLdZDy%3f)v9e1i_J(38PZc6s>5c15vqk>vNO6?QoVj_v#1`7LMI|M8p>m<
z9{cq6ALZhE&hwt-izFp}^%XdA7BJ^E=Re`!z277b?Kfb=iot{Lj}Q3!NG1dxG8p&(
znHlTv1CcS{Yw(b$M1NoV|G}GMiXQJTw@s##Y4o~TuJmU+J>IC~GHZSQpUqtX)~j`~
zcwEd}TwM3^J@&i3lF8(;IBe(dulJDdkufn_9gZY@<M8AFF+|a9cH4<GI&GcMZqNIV
z$5nmq?=iR>Gn13jnm#W#hOJi1Rcf_ay_oE77i(tIS*4lbAxLl-v>s~mk1w}}9RUI#
zFC@vc-;GBRDJUph!t?X>m6VeDd!*86*L!{6So0rl_6N~v)OekL%9!n(<?^_f$>sij
zJ;^`3w4E;+jzXt->6<bjHYq_qo=BxpshIoy_zQC~gUxy+80xEw+wJr7=#TVy%#|MR
zXO3MT7TdR-E>{}=kN5fc`PuVIa&qz@=;y2L?D3O7d%<6U$EI)eP^(sjl;{3T9vK-q
zFk{f~%^8<}DURodg@(@H^LDG(>(SBGbwn7A!$0(A4USAmv{I>1_;Og#Qw#N#Acw<#
z2YA8dvf1Pazi8C!T-@E=ot<%6%w+QUecA1IVp3lS^m~0eTPDL0aDPr^24ho7kH&xd
z{8isaJs_o^fE1xdXQ$WUU^rhS%86Dob=~_Wr};VfRbWs0^Yi2SvjHY}yUX=gimdfY
zO<)5S1_s8rZ}q(@78b=tMWA3{j*{y2dUP5M1+v5;4H3>lwpf^$Q0T-ZuoCtYYC7*z
znJmk(j&;ct@>0<xVle>^&gV;&<H;0<peQIP4R=qMo7L*|1bki({-1C9G{n3Pdq3>^
z{)B1&Xdiz3wYr@Cg~@BNOqP?AphhbcP6-A9VR))awHo+I+MG}1vi}5~1cygXuC-dH
zw}^F7=b-6C;Frti+c}H#I_SWol@k#WDHK^n&Ph%B-X4f<vH6vXZb9UIVhud+`p17Q
zYc`*4vs#8dxtuQ^{SgRu`#@MN8S8lMF~B+BzUx=*SHiis>;D<6oz3Y;YynTx_%g}R
zw-@JN=&@Uqmx}y;KP%7ynG^Rp|94etMciDr@3wVXj>KTkH4D*JYqwv~)OX+QhkpyQ
zVRXQx*LfMn)E~Ne9;e6;Set9o>+!N6xr89o&g1pu<>eJj6OBUazX@SN^frW~7_dK?
z$rS=qIy_&l#-!6i8>LdMLSr}7w?u8pN>FyhJEL82fY~#egTJGshiB1lvr(*Tb2^^T
zxc_*&4i+j@9!B3_)ehpHhX>Hbfw<EDoL4IBYO~$!eZQMji}ioM9i{MRBr1sZJ}XV%
z@%lwKb$Hi+;siqgZHHm~BSJ|U4=GwUn>}>pwt1F+koQRm5f0U?R;#t4$>;Shi4sgH
zk$vBr*!^k?I78`n&iezQ8`>6I9ZYS2Pt7tJ>?v?4C}Xma!Z>^$BV>6Lgqz2LZDfuh
z`)J_N%azJdPz-7{86sS;$VL9kx-bEgjxs)94GHuC9&H_o8?Dx>6^dZY9KB8s<!ku1
z{C^%6ArWvMu6MubLt5~<oGR1|C42sPTx9}_OF^WhiiLv53ee{j)7RHO`_r%6_q^l%
z&HtTgWzdX@ZA5nu8)skCXWc+Nf%UT(TP7q%1?=cy0FI%>X8q0?bc8u3X@NW@LxJ1U
z9XRre8gx;C9*hQ((R|)dD)FWZ2~ceb7({;zkU^6HFjiha$cNV!zq{Mtg#7OAV7!TH
zg7yTxEcKK?$p}xNpaXC#ev?9oa4gVZYypgLl3QqJT`!bMpDmOw$M&ZSe7-jWLe?;w
z(pz56tLu$qJv=&``V&%1Ul+^erMC+3VBf!pso075V$AX42)7LIhEPmZ%QmR}NQc6C
ze^`{C7=^_^cP8{eM9G-OpC?zZ)7g`t5t@)9R&h6lUH^1=ClQY`ATTN8br7vn<;S$!
z>L{#%@;9C?6b>&L&gQT;Qv6LXv^oflu%V12tQt@Y{0EI)RcJ~BhoLIp)?qoxH9AEi
zQ8+<KZ9aHdGN7?7zkpYQLcj_xvSlz@%n?%ZrrzR^ysgw~F9)N|wOXrRn8rghl>q1}
zeTEq{n?&eTgxH|4C2DDc8Np2nTRgGM8;y5+eJ>qRNEurKPr-Z%P0%d((RuKO2p`D|
zWroNtUTshcqod(koX<Bs4`VstQHa9KOld|epo1oI0Zi35;A1HF22`a?BHw&8bh=z5
zxe@uv3m~?8yg43{{XbqQRs=Dr&&-(OAD@216&+dE_k@|#(*?cV;<K2HAsuf*>{PM4
zhqQ!{9O`VyLPk1#yuU6er@9QlK3%LAlN+CvR%teqcfs@o>pSq$D>3UyHQlA_`&F{?
zdp%T)n+#}|`;1oT(;ds%f}UIW`0ueG>a)ywX!leAH#+2Cg_Vjdk=2idl?Fp$cx|k5
z95$<xwWEhfB<*D#P-~31o6~s`OXQX>kL0w@3&f;yHlc%vC1iNu-9^yCYB}K8&?1zq
zAb$*KR2*P~L4o@mY%?&}7KI4B*mkpx%33gL?oRSvVH2=hVFQ}a#luq_sbK5f>{)KL
zT+viK;DD5506=X6`GPsUQl|@N3A1Wn-&bJS;#39!Mfp`f9NO@7Sh-0O-HLdqFpI;!
z&WtJ)ny5l(F1-$8p~0vF!d4rZ$WF*R*dvs*Uu7Y!ngOIA_XVTh>vVi^?*c5qy7Bu)
z?<BCeF)9g#1o+`b=rd9oCM1Dp*==`KPDiPUScn=h9#%eD-lPURkRubB$lCng{ro7m
z2?dF&_de#dl1manjhSSxM;fH8QL|cEN`xjls)RCPLk`O5XPqd!+-yJOjOvR|O(=IR
zPZELd`)W!<N`OT|_J@M~&xyciBSpKAVEC3zJ%hojN<NwpTtWkSbO9o=6etZrF+Xyf
z-8K%Od|6g=+-lEK5|d7{Q7aOOwKDB>Y3{ZhSa0dKYL*~}mwLw=YN@SM{{o}LsQtmR
zRZ6^9Mn<Y=1H|F;V0$<C6?yp(q{#*tNYd7;nbA>ktq@1WX-N<tnkB98Xv{QHRV+Cw
zbP|E^E;b=nw&m!^Qa`ze-66q)MLh({(xAz33!NB}ww|uOUsJbimq?;k6KON29}w*s
zxkMn53*vE+lZ$DAuUA)Ug+mLOC8bAsm6BFgM<Sg&y88DkOTK;xDnt!Ckbt9YP&I9<
z<BLP@>S8I^_G*z*;6y_A=T3MHPpW|WG~I+z)~6LoHw0~T!Eg2Xe+yS_`TckOk)Q`?
zp`>wDbYe^dc=MgYmITQ<9ELC>8PixmwvbY-%z*?WLh`)0N!5MMc?m^Q<2MM0BRc3Q
z#KjvxKK_7prIFEz%I5i5h$wpT<=w>r`({n$!6~9F!N!SER#FJG0Z}S0!k{1`0$L~A
z$>inMn4ksxS;fOIXuHvZ#phrs5_Jt+QC<@aEPKNpOxsb_;W*rb8ehB?=MV74mXgNp
zPF*Qh2tMN5pA8xOT?;-*gwn#x(cM6e%1G$|Ql$K}TC8;Phwvc!KtZ&pD>Ybaj{=;9
z`25c1CT`=mQ+^%vE@3YyZrAe?jG+B#xOREoFXQu=Kc~=~ga(M=yH5E%1gJi!ko*gI
z!xv$R4R6>$o&X{6D$o`nyLjCKFH1j2hOJ3_BMf>_9>4h9PjlQzLJAkl7k>SrrcqNW
z%SnPKW$P6S_%ZwpZif+%nJ?~<p<qO#&-m}S3YuZZ1fNeaCs3CNVbjxLjqP<s>JRtn
zgHj@y0Tj|r)`J$ijWz;jgEk^U9hh#C5AHy|3fiQ?dq+ipjlw3tvKzXnWk(32I8=@n
zd=<@ULb-=d4R(p32^W>68wgSq)Ws4bQZxing(9a8a6%bXktW5GWQwSM^vlc3>)?r*
zbeI_JOc~*<+_<W6E=P*5QmF*}8K#JE^u?`x;y%dC!$slbAmc_;)d-0xINA{_CoUXv
zRJS1!ecf1Jr)?(g#o>!>fjqJ~=t8Pm5ROo_6s`{Ydr1Ld=w4hotf%5#Tz@a)kW?Jw
zm_d0Q)G*0_;Vph~oSPsev`Z={W)N`!S=z?ocmT;Vj+P6?Z#3IEcS3g2H3$c8UPDpy
z0?38cz$(YSx%@-gCm&N_E!BimF#X{a%t0VD6m{Q@@q$}`(94}KnJ4xyK`}!!co)3E
zNO_r?-6KI}N3q3y+3qj?8if|3C`>;u|1kWQxs2S4gs9bhX#kgyltdH!0*aqo#2Q>2
zi1KslpLd<*LsnL)LsWlLzGM(Fge5tHe;gyhb}C~7xlbZOq{G!#r$V5Xsa#MGz8!K@
zA08I6oq<%_E}GM07zvNeFU)41y&O*_bHeZ~svLc!pv+5q)aMAEX&C%0)GM@S=-H;J
z`hq0o2qgX$B&cPoPqMwpU#R=neV=jo_h#-Ani;o~?pb^RoL*EsUz4^?4mXFk_X$c#
zf3ANQb{@+;U`KY0=3&!YONyMMGyn~m?NMqPm12vM<*rgpC{kg;sPy}s>6Iu<2t$j4
z8rvBoa*x6l*&^t@M`BKlwMTUi_a4eMdqb2R%&i)2JUM0yfJF2p5`2<S`yrB%mv9iF
z2)6Q5jS&yjV|j*IjSHQqDi}Jo=*v2ml5JK_0G?C1ga*lQiMjnAL28huPq`IgD>tzz
za()z^pBju;6LW(7mrU52h@8lq%7EWsN@Xyd(Q=v05TZ*ZMa2@7r5@qLuO%q_fsbl&
zWrPDKjp_>^N8VFJA{oM0XbWJlZ>DdXLwr(BD7%%ZI8)T09yrur1yFg*h3(SF0Y0ci
z$52YQkVpyOB2sEWOSofv^{m2zd<)TQ@D;OMA{Gp~q`PO%uxJ;eR_!+a*&X7gtW3L=
zpeEJr!~j<&2J(R%(GadS;3-}2sCyS}KuT1-u2g>WxLw=*I$7=Vys!KC7=MyJtP1pQ
znF!6*O|0Tc<+WZ?!0b98N{>v4Oz0nr(jY)*!+{yH^dc2uA)4W**yw%$?S4{V6ggmg
zp&>-@&H75_DPDcsoiUOL-KmZhlN0SG8eKLfLg{F@dLojYPA|xZV3Mz{jQNhWaKQ_s
z9gmJ&l*072Qzit+u*K5C+Q&=C0Wx~Ck?ah*0b1B<OQ8{6FE1}G_z1TsdjLuLke)d+
zS4IM-Oz2E#>=;_Hkh(fGku~zskOvS-Q!-XT)5Dx697bfPdPXcR%>BT?Nfla7*yYH4
zR9n3+LEM`FRvINmF>(Mo;0hg*M11e#aC8qa7ODsMq1OQ@oeqYgx(K}?50yWQb1@y2
zOibh~ldo3e-`NQyB2uRtj9__uy51Fk+&f{~3k=r*mW1HM#(--|UWsp$NyNO;>SL7!
z7yDO(;ogS_y*2uMvb{e1a&kMJ&d;@q#)rQjSFg4barQoWDOi^dLotn1nJt*NoI|iS
zTYn9kV;Znn%oPB+HM{M`l9`mm|E`e&v}un-db4o7Z;5|qyMt+C(mDwVQ}z26fKG{M
z#OGz-KE<|N|Lv)oHoj8E9~xPqTFnVDdTZ~0GuFlU7N_Nu`uA|0&hMk^M4i%r2k+z5
zuh|^!tAbf5p%zMopaP!%H=<vfuPe}z2l|#U6p9Nam#e6{NW&{bk%U7#sy4|bBffBv
zpAr7wbU}6-i&ay?=9S)5Hm*DAsVu39(?*<qBjQIfDnUAN$$q5L|9DqEax?sQMq*sR
zcqI%mABZ)PXrVuqY_os4U(4Aooi=?T9tuh5`GlQUYoCrMUtD0be%ZfIm=qZk85<K4
z)N~MW_{QaQwBbw%gC7<D)!nUa)XF_{jb<nvdV%8O9=RwSsW}wOCLj7M95M#>xIM(b
z7Z{Thq*|?3NKlT}uU4zYrqbfqTlcv)UySTVdD)HBFXH``w$hR8_Tcm4!WBB`utxLU
z=;ptZBL5|}13|Eu{Q6G&fgPOQBGAYVtw@6wBihgcL~Uc)b<p$55m?&Zm&islK@jhD
z|97C^nX_$?^pdbgoZbG=dUN7%lxE_(Fwu_qSO`+GB)G~71G$(^`5nnJcVZla9xppn
z;x58}gU<z;n3$+VjK^X&bu^v~locSerhbe1pv>lfzAvjYXe6zx16nW-dhsQZg`V{%
ztrq0cvabwe<E9)&gy~U<P>D#wjex=k08=5SPOpcXW_O_EYWuA+gm-*wbzBLlWjr+6
zl3XG}V^U+V+Oig6%z*ev&yX=s8XlWjBp>encoM38p~mxe_2ac17db<~N^Q(!C6KwA
z3%)eq+q5MSA~ciw3_q$u&03>$`b+A6D=ZQ97=Q-m1*8%ej{Eb);>|x(<6#i^Xizr=
z??Sl%@aCjtH#{b{Wh%_5AsQq@4`s5ecDuc1_djpOBs^kg@&p9fPnH4y-Cz=n6^q3X
zyhSox&xfieDSX+?XDDQ|D2Kv)m=F}wbR)z^B9NxN;Jy&pD%Ea$dwX)lV>EDBuG-AW
zK}>dXW$>JKIbXk@=<)t<J`9eam+JL*$>I3#1EO%<ukEzj>t=B6yM^bktbYEY6^THC
zlC1hAC%LqNYb+!h2|Iwx>r`?r{w=q48KjqmE_BWPj<k<}_lOy&`mF=m?QM7(1W+`|
zD<pbS5CFiysG4|)h&)uOp0KGVxQz_SyzK=u1AOemr;whW>yUmOi{>vO88SqX+Yk>)
z{xJ)M`$Rz<w1@t?IN`;fplCxyqXC_iK!FJi46G2jC(rQl)o!P6cY9Z$#pCu*NmNM1
zbMiQvLLuN2nIwfBX;=)6{sJabCcVNg$%bOuT^a#72tuGWh1ph)(t)$h&9=0QA^6|B
z(yhvme5;c};VZy9{SdZn&L9;LFSSaC%iGiRXuPlFlD2t%Q5{TUB1(7=G;Wd}+U=cm
zY~vn3Y}Yrl8YUw;cDuD7zN3HFRB*qCR*hyK|IjMt18S&@Sw)Qqk*_md@U9}EyUXE-
zY<JHmiV^i|^BQTnKJuG9S}9^$2cR)PtOG&PJPXFK!3LtP#6A{h%lF?wj8QpMP*VD_
z*I%pM_HcXWb)75^nJL3T%LTdAnhNiFo(gS)B}j{Irl0pqwBLV2_E)6NW8@_!QJKQI
z?V*>-b+>0Hhv%3nkR)MM{+K^HLIkea#Ou<m{dbjKy7Nlp<>-W;C(0rQc&bQCZQX#G
z9PW}wHW(jnT8(HkA7$YX{!S;y{JXz<+<-C0XmqEiCmOBul5(@$iyKfi<Lv~oZTuA3
zkWALOk<%+gSb&sGt3E)DE!BuoOx3J)0-VfjpVtm;&oSSR2#1TcMg&}Tk=__O?KX?{
zJT7O*K;@f68l{pkX@(w^ayk6JjG@Ow2p^+m;>ohriD5bf8JU2Dq(~JPX^qo(sWm%C
zf=5v%l!FQ|I4-OzRS`C{H5lm|iw7&&6V7h&gKtvgB?oyQsB8k|(MaCkHxS{<9c}%Q
zs1yyBK#C8PwK#o$v-<rlgDziKi`rvN-+1eeakC;ZjG!dLli5CKoAE@IE6TZ!!mQ*?
zM7)$3j7OPRT+$@#2Z8t146E*^4eMQ>`&c($001<CG5ZlV_;$*Xk&0@}p>5Wp7E+0x
z{+l4n{aC8lHX$JGJVpjN#eHOFr7<PXrMNga!?jIM@A>0(bnJ4s%irHmMMcBorN;9<
zPCz{sKNGr{1sQ`zZHgS3Kp-w&QL)R#(%t=;UboA_o6LTvJN}!%Pt25l3H0BH1U{R<
z(_Lxhqj{D^<8c}uE8v(Bg6qkKK-tvxNns4Fp1F`!hSbjp0gG3DpX1=(rMF7W3*4D~
z;$4}0BuaS4NIeswD;VlN3nAbXP{_;&RGvp-aTCR1D_K8&|6(xxbv&6aOTGvcyp4^G
zzv6L%tN@j2qP`mVFkwQafexrBHI}nlkD>10RoCYExrz8vhewan3Be;bw`AJIu31<_
zU9gEZngb2|RJzOae^x_ZzOd@FR^57k#o|=Zz55`#Dl(DuBLi0b?e7a9-bZ7JK%!l|
zhly%vhFbXe=ZCTPhmYy)1iFU>oXTk)pEtXoV)g?8MWH$G38(A%5>Q4T7#zHX@emlC
znDz4ZDkCNrLT#sqF|Q8M;I!R%9F2clscMbKBFnf4Rgb6+!{OnSa49ma;2*26NAh2@
z?2CbR!ho=+70eLt4{FAs`_02<Rk%W@rNPpZjN0e%<Ny?3W4b(uPJn8#<H1l61ROK6
z86mQmxHyl^&x;FQ&pQ)S<f?g0eV@c#6|puUBO{|o6tWbX4WJ4?Re<{1YHyzdy{SbH
z*w~~3Z;D4e+tKC5(V%3ev{;K~$SdXUTBIt}GF-6b=6!)ZV1LXaPiYe~$8<3HLbQ@(
z==9@ezq04~r);(senTqK`xQ2D-?wY9Wf3LhodFfvCWn21CBjlR6B84M#P-)JX*oH+
zhg0OCd*Hq@uz30Nyt^ziHp3iq0nVwYt(u0#>9D6fo{q^t5EC!p@o?I2Jc^Q(ocgHk
zcJ)4j1@~cxjgKr00h)MI+E#wj2!~k~kEcl`pZ6T{q7yOF>Foc05ZwxFMkqI#=o0m!
z7sdQpvX)xv?mN!<PzhVzR~1$MskF=LOG&HK>r-p`K4M{S@An)NkZZ~e3v4jdsKQ~B
zf_F3kwcfo>=M#ki8Hw%=gZ?03|6mFDp@5AKr13)L3CNxSgSFt~<YaW@wg3VKS;2<+
z7R~0eR2s}Y8g){xk|~crj|E@Ao`y!G5V}&Rj6<Nylb@WRAh=@6EWA3hXU1~96$3#H
zhTK`H6|gSLFe#A|DCA+6_j1LUcYV479Ecn4t7xtDwXULNePiZXOs1m@j$0t5V{V@F
zuMUDnnHR?`WfsfE)$8xRkBYp|-U4Ow_us$j9Xx~zTY(~1KMjmtK>~E?1arInE<bQ1
z%m8~V*E_i>DJgtjq5TbS@yi8N4<41`GD=F%N~M0N2Z5!Z6e@9nc6KjK7gs0G{pR@)
zJUqYdW#O@*d6J&VeGJ=@i4?Z?XiWn(E7or*xl+6of?9e@#C?^9BQXq*ehFbOwOJqW
z9@4YV^<MG#aN5qkGNEhoB4I)~zN&>`8~w%ce|dt+;O6FL6m&X+ejX%-%`eLF6DKN>
z+40IsB#H~xU?RqLBz@?{Xb<U=02Ujv^mR$mbb>W2|0t)-9g6boRO-jG)k>HyLBuxU
z(YRZl!T;cp_C8R>NBTkrQ5hW_-Ph-D6%P_iX(AL(%M3_;EybYXMIJ<wG==ySbIBcF
zqL9ynl#??gg<D|}lqMNlE34}*sXvk-#Q?{wBhO@xDZ1;SY?~!SHmWB&9Kq-D&C<vH
z54WwuLT5(A$BS=!mZ(Y%UNyjdn8ir&M!ND+!5(l-TskG(>2o-``2kN*+vy}p)qIj9
zVsR8OtpeH2ga&syhhWY-y;aT$IGVw-c+pY9;x8G88IE=bA{p3G+1tOxih(jX5x`%x
zxV8NaizF%Y367_R3`QRIEZa=H$C72h9&XyECADhv=ThkTDor#Tt6a%b*(6#6rRd6T
zp_lxdT;5bcIc$CCj~{|2_W>DkpdezPJs!X^`Vag=KpY+&6kjS3K^NYT@YY5y;s^->
zC4rB&m}{LW%LJM9df-N_2`)Z*eQS9uFUfZ8I8;MXUAFc@r+=50krCrnZ74|H$LRI`
z%iy+X;KkIy4<JYo?pF-ON!x>@2<e!8ehA-v@l{e5nv*wW14rIT7}&&@m1Xs@oS9Jj
z{xl8m@Fmqmh|R~>_rJBkg(h$LgCz*qm3(~(kOIFuCGO>CVtXwR3K@au0D~;)X-A;p
zDg~RN__pL#Ni>jDf-Flol1mg_)pL=J6|X=TJ}s-LFe@gSD<{S6_(0ipHnRQwY=Pty
znugeBr<?09P=1Cbp*T3x<&H(F4G$0ZnxfO|ez6>kOB}-wu6Pw6!LmSojo_a0XCGoL
z{X;p#c;|nXheK>5o;J)8njy81N@bFSC)D_)m`1$<r{aiY$9Zyr2RpI60Z=K>c>6gs
zbC1LJo1FXiN3pp4I#mOl7P6t33*Ud7<OJjl<*5AY7}LfPvl>k512RxyEHbQD3}5N+
zAfm>;`AjKmQnBVA&X}wylFgN3iRh@8)|4UBK2$#f4OWT(6SPdZXrWWQ)2jlj(Wg8_
z(R~sl77fv8k(D)s%@%xet|mxa@CCN1|59Klyak%eXv6}S<vcQC;(-_B1R>j&>}+Ak
zC}PW5!)8vD21s0s&J-PcVk!`Sh+zmEQsdU@DwS)?4zl>NiG#HfC#H~#INPml1`8?l
z9p4wE<BPukZ(2Lguj(=S^7<-70;_owwqF(g7w-YDpb2+@3Auvr#{+a}^|B^mV#zt7
zbnmBM9liE@I`I>{SDIL5jr&s>T?(ysR-d$`g%;LWZck7a9icLr#Dn>SNb@Xn1z4!_
zqyPkR84@xeCC5m!`(rB>x45U9T$A~VjyYoB@Mn84l>ctKy_klEhsaP;D$VP(`M*n>
za9dh<4cr9rkxC(ws#O)H{Tru3jf<tX(H6&%ljov?#hzLgOgagiEo?d%tuewUIdgTH
z_tDc(&?aTYC(`XMxYFQC;W>sBFC=Yf;1Qwmkrl%lRS;+7(8ORB{5GZeH**0%qi`ZI
zDlB>w$>_#3qbDNv0E58a^%ZO=R)!82a)vCm3gq;NIINVaJayX5BX7s)#g>A*(v^B?
zNw1e6bRQB_4XeqZ_p>VG(TNl2o(cM={M>s&P5Yh`meQ?$G+<P$2mV=AA!DO|GVwic
zze!C!1?J?Hm3Hq8t}V+IZMI}?psDZ``T6n|K~YiVHQ;OrjKRddL~ojO0tFlI(0-4g
zDXMSz>^?nK%cR;;lj}o1&@<ICl}jZmw86^x{3=-r!DoD`Mhj3~l8r)Xe4$t(5XU5^
zQsk(e=il#Nl%LrAyW}jV@g~5^{aeMyBuC3=rj3(=t&eBz{iNV9pOPj4(`~66D!8hk
zos6{1N&0^ON-NSN=bQEvXLsOBsksu1Yk^Bi$M{@@GR>+A0BVjG^hi5I&xbZ75~}j2
z_!OxJ5Xr#Y@r&}lL-d6>NG&}dfvSV*W_1$PQsHdw9rtK77}&4&+7)y1P5f>Q5Z*3D
zEYx(*))7c(aNb0H#(!@+F*%5*qJ|_XM%BnSaShKk&bH1N^cR)^nOBMhU0M%ka?C}l
z(*vlaTGOl3ZoXp~bxm}`?-149ituG9f3mPtXsGIzQo8%35>XHk@ETgiO_HhdOQ=<`
zaf0cD(J78+`&i0<su=&fsz7iQ!P}~RHISb2L{*BT)$8lTmC})eu<geU+bhbhh@Cc4
zTGCl0Un?0}rkzSQTcUhUNolyi*jUZ%e@BZ5UjCjYt&)n;tUU6?di@wWBe*1v%=oQW
z)1!iNGCLHya9fT>$>_gK{Q>unXyU|efZ1|~DM|?uw447LO1Ir&nK#Zl=HSwAtC}-N
zs+3&xF*pk7CWg~4hsQI4h3F(v=+E9VY~!3D@e+0OzLi!c9Qw2nw~u1RlOpwv%(x~@
z{4H#B8{8F+BP}+HCT_x|rV4uq8(E?shvWKtfz0po--3)5(qetMb*OUnk{OvgKYtm8
z@yL{!)$?Kmr3q%4W00i)k{@20Kc;$Tm056mBQwwG<5u88_pC~Ti7H*&j9%U-iyjXR
zQ}1Y1*GzVs|GkPgROBck@!E<iDJ&6TVaKsf(VN6vM@CD{^wylB937YaW^z_!3<#ex
z3T2x@8=hk(zt;xie|L{pLs+S%5-gIof-cKAcBs$$D1en3cWb*MggCT)D}>Y6uB()`
zCbkUn|0zN=QNj#m39ERf0;}4RWbH_{c^nm~?BYBeD-p}zR&V7v_WgS2L_PnXjgbK2
zOjrcj4A?kkrvxc+Bs#Oq&`p4IDYpw2LBY122;!!#a41x&GGac{icglF`J!o*ZL&5w
zLe1*e6lSVS+5arc?0`7Or}D^pW^4#Wr&}g-(q{Ws%AAt?mxEuSi@8A#Y$6}UDLlK(
zw%X$90Z&48M_~E`G7XS;J&C|7-6TqfkJng$!sDT%Dn4N4MF}-oPQ>~_<79#_sdFr>
zrL1G(8#O8z70^$<C`nN+p4J#Ffiu_a^9rk4g~fH~2-}!|;=@5Wd?5w=s}70gD0KT>
z^ZkE!{TR;a`SquSaESSsUAe&AZaF(-YKSjwvI7CRyD|xn9a->}lIN}W!~%1m+h-Kw
zrs~XkTG-r6l}ejB{!>Fl$Z&m5&Q>(WWfspfywhV$Niv{$qsUlX#o&CQHXHeu0a9m4
zmHLOAJZ%c4ry})Y&p(_RIC&;$N%i{nQuBTb27GdIohX!>Q!Xxfi}2RapT<-Rt?Fc+
z^Z5jmc{~!5izyS-mqf(tqW7s(wKASOk#l%qBMd}e7tmz!3|W$?&O<Rvym=)Szc@i;
zJ&fR5x7lU`Kf0kfQCRY&{kCML3&w2b;5ETN_u53$j++sLu~6IY?wx8i+d`|ctD4DB
zB8F~8E_M1~5sw%n>WyTSCT;3p0xpF?QbcZTb|n!#IHV!E%O>A<tVRKqGQCe=81`#g
z@eO0AkH7xt`K|AKSxv-I`;1G7G&{xAzlk3GXK|Wv<w(foou5|`G=W)ad~Pd=1Rox+
zeZKWo#o~tJk~a&dWtu9Xf1U`tQedpB2ilP+>ti-y%8}P)i5C9K$hXGMD9r7?tmzXr
zd~53iDM)&J{#4^Q+HIU(Sbn@|c0l?0pKR+8@T1qa-I`e>d~*JZ|40kQwqz{dUu}QD
z89sTPV8XffiA`2@ZP0UKtuschXHt#~fMjb;JS<NY^_hU5IAdj1o6SnGqW8M%c1aEi
zWnF&+1?$G@r2NtbjmsXh%kl3$nx^PJfoRhe!2tdEG?c2ukCpi<yb2{rw+!%II`*<d
zdN7ORg7o@I2HWtXAz5l#Pb;T4Y+U=5HX?<24~_Ok?rO^coUc}USe?P%DiHL&iRmBN
zT~nPt<m$?Oa%;V!h(kAGR+W0f6Oxx*nG(v~azcn2VqlgScYkzb%?L6R1XH6f$BrhH
z15c`WeEmebYl)RqYPrg}wn{99SnPAKDa?V<GQND`ITbdQfwty<2=k|~Q>^87x2Lv1
zAO4dy;g2A6ejANZVo~1v6MF#j77A>jg|X&TMPwlIZnDHNV`||`Y`36zvi&5QIFDU%
zTGDCfn$x0%Eb%oMsp%78B+F0+=bB=Bzu`pd&pFpq`zUs7fY+f|B@uvug2E3s6Pg7a
z=#rw;>0p$>%J=(SISmOk;8<>Apbt$!!^4{pn;cQ*^!W8)b9Ga?GyymYE*B0*l_%0v
zqm9CCASi~`8Nef&?ry1f7421dcUQZ<U~NWvrwkjwDyn0kQYy?!1!z;7e~E38p|nbd
z@K$!i&1Dy;dT9UMPs(9>y%;#s1TKN%_Uv^05^6#`h4j~2Hl4*Lu{>X+$&!r#w1@re
zhU;}YnSOr!@x1@3+v!9G6oO9#arxt2Hn}g02L}6^X`w3c7iSeaev?WWmziaimQ>)$
zL``d=LDZ{;Ba&;Ld#e%_qj(Tltl#l0_*6xjgqfCI__~bb9g%YfR;|gm3Ip6Fx4Q-f
zQ3CFnhtJC~6(#`qOLNUV<32pd$nSu^lEUwYv&9ZaW8C~f^VzP>&dZHfX{{V)Q>jd5
zQ=qGb3u+_8YKJ^IFG`dQQ7Z7}iTdG+Ov+jsXP`|)v{b_Jw|-~$eE!kqdJ^DpIgcTU
zbTv1M*faT@Z7Xf-HDW^}^`6fnlb$!qM9p4vNn2c8+XfqrDX4BghNOtQ6bM7gvK{Et
zUie!p4}-S1;_~?>8AwqLA&bms^VlPilnfGyMQ0|i^=)iyfQ`#fpepp&%NWQ$+{OV4
zbqQ7oojqp17_HF|VhFZo5f#+lc_vK+oBaK!m{X5rsN%E}(?SyTp9rDJ4Oq(?GB+F9
zt+wz3nuke*JhY-zL;X3;Dx(L;<jC+WndsH}llH{On{}kWa*!cTx5Iu=i^uN=OBG?h
z>fiLj^&RJNaPT9}2-QW>5mRuh8WZTW+ufZ|$m7PULRuu_qHjER<hp`(`3`+Pn{vVT
zCC~^IjrMJLv*xJ~VsxC4iSO#d?G^P}w%P$As@dAclzsvO4lzC<Vt&gE3=kiBt+u#*
zQ78&wp^-P(5+S0|7|V&!^?IU7<nv{+xSUHKUS0#)Vm+z-V~`p`rXD>K7~pU_{_ks5
z{bl+7b~m@9%hl?iQprNo60#enSyui}QQi5i&MhA*!w$HwwgkkbzdVZ4Ak&Dj7fq{=
zRz<2^E8K?Yj0a5BxwUw>Lz|d0SK>*M%~>@+o^TVO2Wh_+jfLVz<}JHGBiv8`RI0RE
zjmzcu_4NEMH|^IuS)h6YDdchj>ciUG+w1EYa<~}DS&+@3y&lhx_xB5Rzru#dpXK|1
zP|*#DX<(2eNpt0r0mR~lvs9~jb#&7c2TekJLEi@XY2ItItI38JE}dav;uO>TI0#Jg
zn=|igN~ukZIGE=2RZJVe=8p)a>dbhbEoGyQBM601wRY91P7jz$_w9sWTndovBpScz
zF_UcM6j8ZXOv^$^f^B7?HD8{NvC#6_81_BTtJ!R4vC#rKRT)Jc5;xEa2lRz%x7%%Z
zID*jt*I19`B6+0{&{>LJueb!RZ~O||6q}G}%;Y^B6$x2mgejpT-IDL*mAwBFn3+Pp
zIlGovT1f&E6knmmM|qDQrSX!+Y16?ZsdDQ8qds1o!0>ClhCRZ{RKv6#2(64%tsUR6
zc+O1kYJCl=)ecsx)sCmy<7`8)L7{`rt9HM9`J$1@pwBNVm~sFOhawh>lloW6@sOg`
zYL~0bY#3G?kiqY?WnW)|Z&Cygg|thWWQ$o$WkaWb4MOR-D7bkyAs&_#5&gE2Ze$BN
zNwPSNv!1pd{?f{^%()bKb#1dt?ltj4Qaxd3%?<G?=bRs?9{(-$FhAn`eF_1UbO=lV
z;2qznN+%7IEd@G*)f~}E?T*=rJ2R(BGX#R2mYwc)EybfoAFDiKzS<n?F2bbgldpP2
z6*t=x*VcdNZC*}>%0^_kKK;>z_D8Jvw<py^j>OhCE@(=82|k;09%1;6yG684XEGAg
z{M77Prt$h|eU6zx-#qCeXdKO}QLNRErE#9j7)mkdSfB)t^*K@#AyvL9RqTX7^z==+
zrewND4MzeZk45<6Uu;VoSZ6xH%dVC=7B+uXnyyBtK?t$%CmwJXy9qt0a+JOS8>-aH
z(fXadrREzpk9QKa#!l|(yZGR7@&}=41viQ@?`wJ<Ve2I)3ez$&Iin{#dEZJO*BQ=#
zU}Qh^h`9>6)7}cj4Dt0r*`MoeiY*EH7gqF<HUOa1tusGP@hIXEC?eb%{gZfNy=^<O
z-3oQt^g)^rp}h=`Ln*{hKNj34cgs!B)$wenxm^GG3L@cq)S?5+zXcYLKkYWCQYzzh
zI}9Ng4nsy!lx=Ad!MH;nqn}EJ-w(0WG*fb9U{y(2)Yitc{VJ_m(uGvDgwK;cAjh|6
zg0VCzY!k-<Og=~T^KEybP}sWQln~R*=pS;^#JO=aYtKfEE1%&>MmEeLPf+cvPfp%&
zqSBOFrKHhWIKxJpRtX`*7Fb&z@cXdj)drAlL>GL_lYD+xRLd-rC!csGtNTG5Ff_z2
zl6E~mVW(3Cv<?7y=-BTJE|*jLtRcz~R5LdkZ8ck?ly14KL^?V>RkZ_R%}E!;7aA(+
zZ&(iM>(-O?<>;xYSmfSmezJ{tmyyUl<0L<`%HWerQu$=>PDu`rlWmR@&jgJg@TH+L
z=}UNYZ7;^ge&Ms*VErra1mD6tP!bsyMN3NoX93X2r7kCCs9Hs(kk*x;>`iLPPf`(+
z2;k*jlp<!#g%qd!T<2T&ZK<z{8YYl7J=0m}I7cJdqN0%wS3>foo}eiGDYWml!*&{f
zeja5s_8$%zY3?5j2*`axHLHTiwU?OkYIiU+-7S$$2k3i>>H<Y*Q?CW*BN3JbtZ%GK
z+Zz&y-U)R_P+6IhiC9{uXOLPtc9w-XVnyeoQdWzhDWyt7!{(59Jj#^AQ@1KnGyP3D
zSw*<D0#)|AcrOS4LaR(D(p9l2+i&XX4AdjvnYlNrgi^Iy-8OKF<rB`T!A&clk~>GQ
zfxy|AfX5Zqa4#4jJenbc@{PAdCpXtrS(B$|p%CYLf!tkl8(Nfs>e+`l^-f7mrxYHB
zu;RP%CAiQ|sSMLM#gKds+1N;&?~AIMRMN&{FXi<a_+^!I)^iyfp?J<N2M;`7v6EQz
zrT;~d_edC69aBwugi_3vxGql*Ibs-`uE-msDIP2`#-~B$r_bNrLfuZ0e*T0+I4Z)_
z$4jS}<s>ezXYJ&!pUmV%kXx1<fFs#91D}>J6JZ=w>AxTtns6S+@)Sk4-d$C)Tn`DM
z3qH9NGWl%B`)toK;>B2iFZuB*Cs+I3{i{^6H(gyJ*Kz&2jb+SGF`}z0!c<}t;lCSk
zoe^`d6&4_vsE5AMYF}?sY$tq|j0q#Jm^LA3>BXbp`&d_J&gQh~#T*Hdz^_1OubGOn
z1z;r)J%F$P+-{6R5F^fo)N+`>*jHQ}y~5r8@|?^uj~-{NMC8aZtQJ#>^7Y;^D;hjc
znfVSXMV{#7@r^9*wE`%`kR`0du|nt|65`vi@+mQR5x#I{uvsk?=9pue{Hq}#BWsCG
zXAgp8aj0_$+VYYt;}R%r{MyAA-MA!^-q%=n9MM+I8`x};8L~~P=B`LeIY097&YkfS
zeR`^qx<4^BwQSIdXH-OVdXXAzf*~E3Oja$kfgZ9)Le^`gT?22^6CHi1)xkcN{39N_
zVOJnmI9L$frgIzn?^cxgL7!n%d5_2G)1iu+pRUhN%wFrXL>|W}No{~8sKOCZQuOLn
z2!k&_Lu1m@?0$q%b@Pf$n%pD%3V=$EY0cR(6iZTxs)eI0GwQQSCrm;nkvPMV>zc3>
zsZc5~{Kn<q?xrObCbr~_qx$`6J0-<27;@Up^$+Lcy2BE-^4m(q?ZdVgFpU7jtD)iH
z;-aF3ZQuU$l!WQlL`31x#SeV`@c4Q3FmImUdV2?p#VTPL4BMEDhj1DTPf@-@17}_v
z8GByg!*l7l?_k81OMTBb9@@(BI>t)kKVOVi8*%6_uk*-1onIgr-CS~>g5o?&(rgh_
z8hQ0)`RApO(YGp%oTVP#7FyA+b?lE154Dr4?dq2uZ_62R<CO!uwVM>*tc(neA`zI<
za~)vt<e#Q9u<iT+a*eh7bP4SED%P2de^c2<kfm1Zrh`MRK;qFX7E#5t<xKhg&Tv9W
zX%rIJbCsA}-cvhSF{K=#gLBhc%RX)*)J=^!x+VnKM@9;Lp3~k<eVsM)z-P%h346Qy
z`Ch(>YY)FVgmw-wsm-6$*lMl+-T8!yr^RGEX#fQb3i0Uw=%F)*{fwh?Gc1fg5_&1C
zU@z8@+~RMJ8Cs<hpYbHiG3cnuG{fs@q&J<n#GLV(`YU9)Bz_FXXVh^T^Qb?>K~fXh
zUq<RKX>Zp>l6Xqr*<=wWN3HU68DKF#*vNmLeP0+KACH38Zn5b9x0MpS4+3>~K+IO?
zy`PqPgM<^Y;julLCdvnXt<$-IMv264v$mei(F24W*{U_g`#pA>`<;!XYkY)Z-%n2o
zy(J>G0!s#+;&6nk-o|f^MHA*;v0q2SQ0KW-$Um!KiMxfl*ZxRKp0VIr&$U=8|JPT6
z7Z<_$CV+bENBfI?DvM)wtk-s<g-I^N>SVU8@|I>ELj;du@!YJb4x4J{myjVAjjObw
zgtCSefR<R|K&ODZ<&7<rYs0!PcxW`)q!UlS+oL>>uYT)$x}NUY<)y7?$YeUh$^VV0
z_Vac8<Bh@=Ng{Na`t1RQT)tX+|2KonpVP?BKSe~uf=K#y+hnx_%oa*m!hVg>1a13?
zM=mPa3?ox_@=+uzpAu`q&$*T=>Ij=BxlidxfwM$Pz2vPNw+REA6yUI*8un+eC^j@2
ze$<gAz&wsdkKrKD=X9_jiKOE2c&-`|kQB5uJUpD=?eVuY1EiIVc!yi9*2TU)NLm3&
z-MLa}yeSzKJ6#vwueH=`yQtjls50<7N7Ig{H>W0Po*vFxwcA|S#IVlSo}P|oEpwow
z=jd&zG>ouC-^j+WTY6mGTh4HPf93LVE5~i@T&0E0<nXZFAFAx3{1EB+=m27z?2F?4
zqfXf8e5>oe-CFBaL*o$>5q03D@bmN2)6?(2!cYAxtT$ooac%VZzFEB4(H>8x21`7Y
ze@UNjbTZ4NL-XU<RfO-&5^A?}DS?tiTZ}jS>U@N=k#@JVHf6^>v(~Dc)>=?Wee}zG
zk|!OQqx*{`MIWx`46Cm)_=8ho2dTIf$~76#HR;LAxXL8eFXx7T7Ez}V3z2hqFYmi!
z!_5W^nJKq!jyDa2^;ptWYAcWJlOePz(Ol~QUFSgIJ+T!ewjvSDnla3lcyX0VTl*R*
znJlrYfdR&0`AF(EP{pi&zkjvL2t!y!vn^PX5Lfb`%x(1N2&W~*`en<ndaI_wjhw8p
zW2zll1mxcv&oid~n%6WTJPr*pS($4n#+tSTopfI%<zjtPKrg&d)_sJ!$;LI{BpP2!
z%tGlg!<2hlL`rGFN@FsMqavWo*pzKxtbRpKrH~fEbnVcm+tz*t!DpslV1nD3XnOg@
zGhxIe!Ks%{@cd)4{EL-reu$&(FhRmmO(irZ=9ZJ@D37-f=TZZP6xOv}Wy4xYg{pq7
zYO8vAiPROMjxo3}tuM?V4eL=jG6I&J3NIk6RL}U6QX2PJB~!D_60R$_9Zx-Bg>!`6
zMir~TcNbW5v8*vIeNVL1PJ0B+@kq*_KE7=aNP_JLFDyx|{@=8q6Dl1DS^=PI4iG+w
zoNy$H7IY_N{jCo`ziw7NxI|Gl-~ojf;^rB{$te@6Arn3crs^6lLDqK~-QX-8)QFyv
zg29iWnoS8V&kP@t(PUi(rxWZ#sUWXl_8$2KL(B;<MkUwgF?Kyx`Mi8fzmzYs3@;tG
zJl8Gbsgq^y^uV;;-=UBa!NRuWO|#3&RS1c5(~(QlT+wafh$X8vb532k6;I-<&AOyW
zqn5>)-!;vb@m|E5NXfOaUeq-@y`!G4?K-gYzH^sNy3D27BfP)*UfpKX-+a#Qayr|@
z?i&6_8A#go>-DDVG5%RPw>}_k)mVcfoGkty?DX_%NxMYbDS3Y)+g;+gasjj@p8o6Y
z&GEE2R^=ltt-V)F42p?Si(R&1iDFAX$&vPLx~iTjdyO1DI_^3Y^4z1Ue-TBMWmrp=
zCY521Yb7?N?$Z1NnGQSq(`+}>eokA5K<u+)>vi4%6N}%~>hOw~%MljnR{ioj=JY}i
zpeJEvc_iPw#{K9o)J&YTPbrI#iGO~JvpXrGKAPWI%Jbth5LVrH0052}40|D9Rh-<y
zd|TL4LjhK5q!zJJ5rR!>ew7*jwAWAIr(?*L*u@E_vdAu*PL9UI`1y~i)oOHVwLS(y
z@vq+KQgL+vfHk|{y254y+c?oAq_tjdA>9lTzq_U6xW8WH!)>L7k#cee25_FCy^j2~
zq2mL?ps?`pIoz&QZF=`WpHfkA@f$FZDR??p2nMu{5gDr6)D&hsER@db^~O9+uGHtR
z)NURul%`|QcJxXlX2pR|upFJENGf6o9VLUR&(5;Z7f4}b%K=Gz`&g|D?d!0Fsna9L
z16ZY%lGS3-25k?k)VS<o9ey8$OvvmPWO|JTLSUY%SS+>*n1lp|Pp>r6dWQ~puDcf-
z3<o13BI<j8TLEoaK)YR7P{WNwxaI^fcUoNf8G%egn^_io6~}ah|2w<XzI-Uom{Pog
z-I}tc*nVDbTat?_1N81{V%dF{e7T~31GADk#gNTakxI^&m+zI#ka+4`#A6@S$WNr`
zqFAR&g^IDLtAG2uJJ1{0YqQ>DvjS{`dl~Lzu^De|)!eBGB;2W`Q@h?wVYi&E)@?Ji
z=}2R2n)kQG4ZshuMK;JIUp|&XM~QGfJ|W&EVhiQvBqOK`%c!1-R8QQUvzF{s0EP{S
zrw&9q+~|VbKYIoW3JQR_A22Z`Ascet^Soo8@5>JKa&S5Sd<RByfnmFxn8R|petonc
zLMMZrBv}}5BjaEw_>9*PTx9ZOF8=Lx&#donKwrv?PDenkGeB6qG)zt|S>hxiN=!ow
z7EHyDUVO}(B?t@oX_%%7gu6fS#tP^HS{pA!EuaRqSxJ=3_;C%7YN$prpxJB&bPCC6
z>NFY+Yuop@{#v0kMfeHK#sUL_b3(z8ot>RM4-3*8dXBEH$L-09s1A%wjX>X)H{}#w
zprb5}nu@)wgdD%e#ae%{_}Agl{9YGH&FlROn|QgE^@(;Aq7xifPPSxo!cPRYOzzD{
z9}fw=;<qy$?#@06+&X5D$fagA8hJ&XPc9n#Gl9<=>*U@53aEd~SLjig3_HNY+#?QJ
zSBOj`^A^zm^7!x&vKXsoWy075mGJAR(5fK31f9{L;DbIHe|TFv)%r7a%A0Qt`b1V~
zL+0&xFMYf*tVgy?J~!7JZa!9}SYVz$JmMXc^5jI8tI4nEYS;sd1OQzuOo?%WlzU3C
z(2F>CF7e&{#GPE%0T|c;Mz=h@z2AQSW(OLGEar=3Le3(AL!?<Lw$EIw7OVAzPZ8)7
zOatnpsL)=`MIk`r*6H=a%IvHJD**cVC`X(nn=J;V>Ta-wnQY+GG#IIVv7TGp0!uRO
zo@#K?f{Ts4oA1}!M1O5>l0CjIosU{yg?77UBuaF|Fxh3bDw+Uu^b;`Z9Q`gkg|hD~
z6jH#1v=2-Gmx^*u#t`snmHz?8_g1#=XyR>wYX;0#u?J|?I=?<xtV%`3{sk`?*#CrU
zQ!a%@l|_904emCpHpl$@3=bQBR0;a?3+y<SWjUEs@6jqam6mMm)^`0?kN443rdyWm
z7qr7QG}|4&w}oJ+_W_f+f@zVA4~-6o!scccl`LR%H9WWijXzPq-|y?!uTyyZJ{?l2
z)WTu#LX?JufY2y3s-(XPmIRoXw|BK9=z1L{y?$LETneRFgahg^$+CU3ZgSEkG#SfV
zeeToOaTAXuSn+Q8B0Xlu6OtyOHqvP;_(V#-PvOW;^+}jbHLHbKJ#sc1RF%9W$K#!z
z89wj7zUwfTl2}zmREbRXGWq<`_Yp>9eg=_@BG?Lb0y`6vBcO#)nKI4+7|eFS4(*!)
zrpcYJcldy^ah&Mga<y?5d+ym0`0CslJw3^vKloQDSSU_UR7J=&Ws+%61Jg$g#?8cg
zI8v1N*iixs4*T#*$zlp~!zNtC&!1zRF6@zxV07;KLPYP-AsM#Jna@scd0QQ~TNM>=
zIN!$;hlU`e(^@Q6uf(fWD(LAOVPM{8fS1Q1k^u%Rh!VI+%#MuwAA&k~VxA-@U$@Bd
zf6@sH?sJSp+_+CtOD~T}nKxHJkPcsmzNEl=sF}LfOEl#kXDO@~ie)N%!<xcOPjLb9
zYZ#5+o$~>&W^(TjBFRb$2cr9z(EYz)xZj{8=5j?=Ah}iF3iM^8Dx_^cMMSpek^GD|
zeWEw_H&q*MWsXkGLO3yogU;m!2OAgW<(I}(HHcFpj>G6c@BIIQ5l;K{eV|s$QZnUR
zX8cV^Tp?2)i8yk9<l-hYj!zZDDe-RdY99*q(dgf;Wnyl<MesdUlGTl*4J7do_Z=r0
z<C*`hTsCpe9CjWm6%G?}iDgniC{3Rt<dQSxR;-#`B$1z46(NX)|E#5SfuBV6OhH!q
zM4%{3;FwlH8^8Bwo}d4uPWRC7AB^8`pkeT1Eb$9E^}7kP<ouNZVTTSRJnl-F_p^6c
zWCM(7J&D6kxtZ*ebN<<xrzrW-NaZYYu+E_Hv8Vo$CADIa@@$^E%XA?8|B@0dhwrV{
z(rWdH(J?W=uON7Oe-)?P{gc>i9vpMK;@+f<5Hi5f_X7Gh6CbxjZEn5!;-V>>&BH^{
zfc1~F8dxB2WdaT!#X<lgTlonmirs#XE46E@c$?yymWaHf_%IP+gZ!U4JVAfQ6X+#A
zT;JQw<<UMKcNR}?1hAQA^H!^+0yufMx1p5we6o7%r$zvAZvV@Dc#vx}SS?QhLdlP(
zaRp6}FFji=gdsVOXL_#Qt{p>Y{Qs!d%jNo7R<Q}B;KbkFb&aMH|BrVt;{YQ;VmMbT
z)7kEi&+@&FVAgI|8|YaAeMz%jsJs?quFAR4o7pk}S~$V<tVX~u?ikwzer*J)Jb@*j
zQm!kTSjgn~)!M}WW9l5k`&z!YUnFVV*tTspwr$(CZQHihxUp?Cw%s_-?m6f8T>rew
zoBh3J&+M5sYu)!}{eI)pg8oO4{#Ob8wT_EIJj~fuaAn4t%M+X=qM>qaI*VXm1M%Z2
zUMG?pBf!E`(6G?{^*~#Dw79OEqZ81uB`V)3C_T%9{g)gN2Fur)$v4OOg8G2X^_XEa
zrcd2!Rjqf6<CxcQIH3^TP08XMNI^sJqXn9_xT~g%!)65G0`-3rCh6ZYVkjhp?diq(
zaX06ZOq}3PPBsk=Pvc;>Qt#FNjHI`{&8Qdz!Ch+G;XKrys8i+GWRBR^Yt3^&0soJF
z9k2nU2?UbqStYR{8F?tkw|z&y!A?r@jb^G>tuxQ@td|i;V<|D74l<{+nMj|pwuYb>
zLjT$KDp{2BAcyp!Iyy?7Bq>f}v9nyQ1%oovX?w0d9!EIL?oD-HW&%(|{>ta1MO<~a
z7?7j#j$WtQT_iG+D>cz^;OV)k&Zgd8Xn(gY6gZlNP=Qk)T@Z>`W}C`bT3-2nX54Tk
zoHgYCxqXDHef9FVtD@s+$AzrLk<X4)88#f8?)ldCe&07o`cu6LoZ^s)7%*~IDF3H~
z2ej~oU;g0of}!%$2)^+yL#YUgtXZHZBo^jigDH9T_4VD$q{L==UM<%F;>xUc_XPmn
z;MMjmkhxAQ2=cl9uL0w59v=JY_A)Un^MCn*xXDkb&a_G=tP&pEgrii9gA-Qot4)L7
zn*iqrGZ<1;EjcVU^XLZO!_a_`X}HQbIMi<T|96>@WwzSttyZc5f=9y4EIDiPUc+=C
zc;WjB_T$#<74HuYH{|(rkErJxA3jCL`*Y;*a8a{kHrbSgP#~RoaG5_V+W)2t-G45H
z2Jj34dSSA=%xULh=RZIZDhQe8EEe=oVIq82FeC$hjLk4~!7iGFSZX9?isCDqWX3w*
z{~n-*@r{W>>O7FBNP)?Srje+{_THSRCyY?-ic`aI<e#q%*f3%LTyDmMhx@OM0fKJn
zERH1j61Gw~vsLK@W6ATU(`qeStDpeNG5`NP_1G6+nLwfwizkW}-UJ>)l`8dRW!;C_
zb_av6zz6^L!4vk;+iv~P3yUX~D1K3^-t6RTl`9yFKAHcPutXLj{Ga1U*APd&(Ns?;
zP+D3V-7eovPEG^cOvD8eUhtiv;cBes=6}DL=36Y40SUvfBk05Hy<Vu!91>lS16fCk
z|GBFylPBum9~EW+S(o40-QC^U0VpB$!^G4&UF+eXot>SG7mk-dThEEQQ=u>*JBS2p
zdV{_*eEcI%1x#AiKi%&s`f15<_<(y8&HMYi+Fq|M@lPBv@^H$2C*$cblqxOGxBV2k
z1D;I9-0o2%SBX#|(KfC2hnkl^w;sL!33k`M#3v`6ftpc8Xkrp64wuC$<2M*jlLNa?
z&?9e?#W-rKz1zX$c>=3VcRDkx)w1pRg_gJ2fBO~}BbWCp8y(&B!UFQEVx#Gd=}TGZ
z+&k&~r=6vSwoO1!ip_2hvX_#mRxS#{->-JUZ^Fq=%u&wV^FJ$-*e59Uy7`Mc=k=7t
zeDhxhw`uEC)&PFPe3p4{D#u5un9YQMiDxk$9G*FJJ@576@8}<Cg=27{er*7CORbjM
zIN&{;0BjncyBU#}hjRmfRYMDjM5a3+-__N1>;c(-sFwAG-g8P2rBc1A{F&ibP&*@!
z=65ySt_Gssk*6DMqb0PzyFKV56OBUg`1{*S+#$rrcwfkO3*KcN*X<y{YVQrWt4(W7
zrf^932Nk}MEB=rsNr0#(Xtm$3*DpJm$S8R^j%^WQ=izzD9?=rOE?1fjHWL4Wx(E6e
zjZm@;sY@%kDC-UJS8SWJbtG4~h74%IlTiRP&#tfUC#L`)Db@`*CwO140vg#|ueN~U
z)59}lgNc@_b-3E;;i7LZge4H<kaj)9t}*Ve%SXQcu7pcdONzupB@iKF2qMraT_}EW
zxe%ewPb_gb$P(uos3Aktn<VH3ZVFpz6cGv~(x9mC0K#Q7eR)}xm6dg%{4Wxx>v1RI
zJ1&pnAMuS2x9!Vcv}ApFKScRamm11&zrBk*-Rw8Ctt6@8c{mNMA`6Ll`hw30C6=lX
zT&ogv7pb8<y3oNFGa653KCN2RkVl*@R#9p+pG{=2CNZ}=pHl#^pdcvJ!U0B;$sbux
z4`*sk!=cQwnf?rbCB*ji(T-V)0Zm;{P*64Qvo<~umdeP;4EwWMuMZFYfpy?K^B;}+
zKJq0g66^t!%w3^=<{HU>O);@jA%1g~DyZG%Qv55`YZUMvqo>G8dL7?cXe0Bp7;>52
z53>NRNNYi5SXdajd|_y>=k)pBWELiiPf<@2U<lwGI$LSDj`(;2ruA{a=;%{T8Ztcp
zgfA+2$U2a7yO!x$`ZZc9H&QB8fnxlQNhyOEq##7<Ezy8Pqus&g^X_?6{ePVu#iT6O
z>!s2*Y`|@BiuXhF_b0n9@GE)6f=%xiYLo?-T#Ny-K^uxbHr;%M6x>m~0=z!FbQTK=
zenr91JH`utT#4j?e;pd{zUD}f^5a`09Gske=AmxjTjFW5fjBN_%W~#d2N^cf*<35(
z;45muabVCGOr-!<%C)^-IzA;cY+r6n$Y3@iIM%<h^Xk1f19&DV=a?b*`|GXD&nsrY
z<0@Yy{`P#IK;=2j*Jn(~>^tR>M4@!DR1@<<muU<K$OqCPJ^uOQa%~GA6{tX1Qp}yM
z-RYW?1M$xqLbCV!jNOY+QR%0r90&gSkv8}9S<q?;ARW{-{7Qr+5z2{$>O+K+hxE#n
z3hqDvfAC9t#LqVmwU;|_!(4}SH#AyXt<jVdze7{Y>&w?Zz=*VcgKh}p6dEyt%4aNM
z5Q7uJo$N`m(nD!S0I}z?HywwmVq<IbkG@SXb;2(*Iedvnab5Y?4@>{g1vY=Aa?z1G
z7|r;0%w3ux%tBAl9#liGandby${1nF%E6Lg$Hm*TFZ@^7OJ2*Dq)_doO+w!Jyd4L*
ziJH~y&4;Vaz<)O0UQ4LQ(+YznBAUcK{>TGwZ*NhvV%%Scr)z`dsTCC#(GMlA%4!1V
zqt13>MJGuN-v+*ysQ%JTj~(wQv9;K1HXgyKczAKXWNg?%vybhW7g4;eaz4LdesB2q
zm`LUJD`mENKtT(JA2OyZlDIw4Ru)X9RLMYcpzd7$`Sa`b^|#B-?j%0c9EknrSznV>
z=6NtE94UmNz_bOTcPKe2zCBoV5j+qnGoP2|b2&m`Kf(_f+)O+{0eBa(=ntxYPZ?tw
zyo@5}dEs|FCmi!PS00~_YJM(xM7{k{ufgc7ogD`35r(WxV-_opgOi0l$L<?R%B^g5
zuC>ZM^B;uj<<@1S^}hx2Ujwh;j2FmAaPfs_#No7^;%u3=2a_;mbJ|>Nr<CYZj*19+
z;T$|vQJ$v$Jvj7=zg#<@t;0)%gtkF*$0^?kxI*t3#u5$du7sQ}CCH5_4+J5uHJVZP
z8zVDcJUrlJT}%y~+{l{pMBHgDj$lCQBWB5}h=pDp{BYeiQw~WNyMRh;K-i&HM>J1<
zD(}|nY%_6ccy?r}x+}Qf%@K{NaqY5yS~q%E`EOmg9nBPkxI+sSCqXN{;g=MxrZ=UR
zUx^BB!=QZWup>mb*SkHadV5_3h*NOg%A@l5>P45#yOeyCPDWWc<B)0s+k__<ht??H
z@ISmH6N^g)h7!^pA<f~SuJhnre{Z1ZV_9K~v`wGz=YIE?yK99T7|3jOc#IkO=h)OE
z`Rq(9wp#+mU~Al{8Ty)BYj7T4am6KN_6SJNHQ@6S5>%eG=_riUwQ!IM)yi>m+!kd8
z#rMq9BpR7C9><Z`q?5?4D#gzs;%3tJy79*Ds{&UnkX`^|V3Y_f)^<1Pzu|Y<=ZtC;
zG#SPx23amBO|lWdzKRkR9nI2pIbT-Gqoo4B-4{>Hsn(>{<*7GUJi(V100vsPeIqNl
zaRQ&0eA#fq5OC3y7FjS99ZtbNPl(Yl;vY^6-KDXC?~&J*wxfplTKFso<P;w-{~K4a
z=kU;wz|T62eK`oC2%U$%5SQJZhsBx?qb^UY^>vOkNtnQ88bQfwO^?w;blaOk4()Th
z7#zYtRm!=&rf}p8z*@oCWTJR@5Nz=sa)LJjb18Xjm;f1ZLQqvS)Gs+dd%`RojuuKT
z0y<DRk(~O0;LTjEA#bKEULoz-h~PjdliMx%qw2q<4Xz6-NTG87E8MXL0G&;aE_v<_
zveVYgC}wQsOWL#qrNZz=eF0syT&|V;ji!f8L&HerRKl5`k5ahJ=NCAhGzZ*J4qwL%
ze`vBCX=jYE**}K5PQimx^y01?mdB3R`V&J*<Gm2{k6JVF#udjI<JZTE<lT=g-Qp(y
zyG1~MCaCxF^ejwooPOk{R2yPj|E(t#KF2mJs?eUIL$jINb4aO7m5ebofGx=6XOyuV
z8hXf#4)Z*m>tSUq5f~DaPVLzP7HZ2i;;Gvc-tPbj6&yR-h&YnSmkfe#8Qn#<z*-fp
zJ>jGJ?}dp`Ofqm3=|JG;?6TPn8{(H`tIYfBO{EH!IsreQGzYh^jGG+{pO3iZ{r<2%
zaGFNTR*#JiwJEcu!qH9^g|Mq(xdxs&Hh31q{2Vx#{%%lkUJ{f{Qxn>evBqZAc4z7j
zfq#pt<EnUySTkSZx8Y!mSeR|LQX^q?Tf$09-S{n=1OlM~AJsa+R8kWi?`8;(yy>Ga
zlr_!5Q7@gI@4^lnU9tx|Sp?$Ha#Bm&aE8Eo>-tT&$ro`xBPZ>H_i7iyFKl{cvMXuS
zr4KyHjQ;zv41USmQ5L9DYE^gDE%%gRAoBf9a<S35Q3{{mM7xIHYkR~+y(9>5@#qFB
zU$_r<zh>xDCX7JA7KMd{WN&V`Vf<Nz7CO67Z76q$tR5>xpz_0WPyGHA-dK>=Sd6~{
z8UTIv()wt%W@GlVm+uX%$#S9Itf83fW6a0lZ}LC*LL>h(h@jKgetbj6Pwi6uL%8<N
z(Y1a4sm2g>Lx6f6jj3fl?|8ibgNrB07Lqt27L=NY=6xf}L)DGry^%dh(kuK6v@_8H
zsN6<cn4n+M5o@AgAH<-im2gBfHb?PEx?LQyg$k3%sRSQ}6v*g@y~;mEoHKq*DL-3#
zrvMac1}<R803wbGByfhv9xe(Go=!dV_Qog^?`>5;NZM-FaDLNg^8i*#r1HbrD?|=^
zeYG`Bh(l(3eY90CBRGLXnnJt%XW9msTy(1L3xD1o{4M;xZpM!~6em*>MHHAQIK9xv
z$_taSwzJX!Ib+_1EuW}F8XOwn9bk|CE%?>KutlrG<M)m%z<|L*!|jxNfASE<!~guA
zQ$%L2Ujr8s_=)zN2!y7%+mkqC`1hB6^4#B6ybi`_e~dYLyDPeXz!IQ3Kr+c?b8(G9
zI8da8??6m|BwW`Z*kvTc24pKH)4j|~;(gurKoUpezfCGNh=SWj+CDpYeJj5FbGAO$
z<>fK8m`%;C0gFS&cAWY<yk8U!|8)eR>_`O@0=#Lx<e!`P+K<P;HWZLABTZIt3DVi*
zwIk;=a``SKs=uYP*F}<xzBMQ2mki(UWERCfAFeiy{bZd39aEuYO=3u6w<JJ+=nWkw
z(z7Nj5?0{fC5>%VNrv_=P-0Hi<vf${&YL*G>q)d@;w_T-j`wG#<p>=1JYu&re87S~
zvAD9ZU_U+tj)oWR;(k2=(dyA^B7<?NvH|9qHFl<~4$;2XZtCAT{qlJi98=_qjeppR
zWJ`D$M1K~zt;2=bp3GlIc4eog>Oi4h7;SQdlE;B55_j<wc|P$hRc9SmOJY{*bak0O
zm4{x1vNs$`VsXw;J%NsukHHZ%2-|ZokwZy_8g+2>-+UAp;~>q>rh@dyguN1JpNXUy
zP3IET88dDx4vg$s)U!oTkS9jZrS=b**=v!8;nDM|B9$o^US4`sSs&hw%nh6(vpO^z
z##qvFxx21+JLGVt|E=m>du~l;RWw<|$R%WE9lKz_7CjZl5q`TWnEU1kFn#!Iz|Zwx
zoX=g}e=4Z+?u^0jXC$&ZF{CYoz3**={R%EGHRrpV6G#RfimShd%I6Rp&LCr)P^?Go
z;*0v08ZpT$)`=o6l>VF`?L>!dMOLQzW@cp7iW4NAEpM1c&X+vgA{JUHhMHS=HF%kl
zKU^ZzXs@?3(;uIc$fU&7BQsQzGSwup^a%Qo7Lm(<h?EqI(;03X#`dhkRgTtR1z=zX
zsh)*`7L`T7xdgGjEo$Jr2HxX%>)SuI?dM4_-73&s51BR;Ur)qrI#TW!KU8PprO05=
zBBG&{eo6aunh?(@ij1*2kF{Y^U7(n77L+s$+8CWFa_+EG&ZDSb_H{;^n%!BJ9;-`C
z<j3dmwsgaFbCf%RC{v4ga#Hw`XuQvLkl4JcJX^YQdD@^CMt}EfbT!nF@0S;wyhry-
zCb5SmhSi$e`=e4>+#ahzP|b*$U4L*Kvs)tJ@#Dvss&ssyu@0Wt*S<1^Oyj15GEj~}
z;NNO|757Hbr^J>7my^~SOUj*f33`ltz`&OXM4X6Edy<6-h0RD{XdrL8Blyz5aU&Xk
z^{dQCG>l`BAyJ<TySC2LyyC79@wnqMjz@W?H_W(t;X3PI?n^fDVrAOl0oXAipOQXL
zkfyFTrBb<vynLi{%6h9;WL++M1`9Dv&E54-4lKqzDfuxRuWc2T>RtkYaWZ86Za9OV
zAy0-TncL5K1vxoz_JIzmMiV73F@i}RBnGy$WjhkF@B%9cPo20EWJ8urqA~FsP*Hsy
zJgevVu39uA2R$3LRt{Ncbhg0ujK3$TaPrqoi@?;pF+(evEDqhKlm^DYPz!#n#1e&O
zXH5}&M7eV2QW5%%-<<;XH#1l-zY0=>QLB`YPQ;g7G)01<d(&G^x{Z=S0~~)d48;X5
zsUX|rPQtGW9t>X_GE>P!?4F~hqe)!Q?TX$Wn^Br;b4U}n=64!eSc+7tg*jFwk>AN~
zdICHo<dp(a)kgD$@DICxLX3J8eFK*n)%_pklv-^sRT?Qtoj@u{(qMZj9zabUmBe>%
znJsARB%JBq`nE(M9e281K43lma`|Xps|?2?Y*%&<{Waq!6KM-OM)ZVW6SPdgKOo{r
zfc`4HY{KWH<Q_I|nZ0^ohqQ!w$HMf*8*J81hN!G=39+4o%lA>{pQJRQMV`~C@!)($
zd%2QFi$sbvkSNT#KP`Yng(Zf+s!PI2%3pYxBZwc9T;k46gL25#JX%{^vb@FoLo4$$
z(UD$bH?sdE3V&)m%wD(=qQ39YHXeKkuJb;AAqh5yC9pCez*6qORb;5=*?dqwHJXs6
zN~}E+0ej75j~DxIkQqr82vq6zCfeuG;QbE|Vrd-dpHwXCHW9!ojF5Q90A1_!b}uCI
zUGP9*p#d4W)1K&flLc!11f$JHd20|7v)Ud-+E`}afapWA7*U7}J}ZikL*+A~kP-6D
zm8E!b*Fhusu&g{2qt`>TP#`{%MX3W8`O7L%U&<TGF;r~oOUdS=&%ZAM>a*P+{(iIv
zHwaSwgagvJ1BEq`G!Q;qaR-JFq!LC`rr%bFsk`S-la=bsynsr*&?Tx=nc8(KJBM)x
z!qD5#<HP#hSkCgbyUEI-J8o^&K!Mcy&FV(JOkjgvr(7T8YuJ}lL|QPm*@*J6D=1FE
zWz|KK6F9w6J%UP09+DLEe{-R9WB3dV{(CF|f@osW^yCyYjp2lm_zOq4$&|Qpvfy$?
z*;0A7!?9hfP-{&VChxC#<;I8QN>HQVt#D~4iIq;nx*=T7=x^gTI^9;u8^Q@`R{6tA
z44W^PU6*W55&5y6F{RZpgQ&tcRM`CWOQ?fHy%24JrZTFEq0_E<;cz!RRbvAl0PZ9^
z><Zuo12Cn(xZ#Y93?&#Yh|)9~7~;vv$wx0B$&m`412vxZm4Hh(6`YVNj4p_aIJ!c$
zw(8=7QM9;Gd$U~0;yfrQD9<i)VFifcOD@j|En1au91K~eroTn&i=|BIY}7f42>l6n
zyE$~rTZR(irBcr~hFJ5?P&Yvb5$X`%L$b^v*GO|nLZ=qnT#kMu0|jqx@WI+Gf+S7t
zl$Y9<sz|9y#`!Wkgck<A!x}3KW@Z$t8T=9Uk5XW<RIWg)-5C%ItTaL41n&&t`ZSuy
z#>VP0q~)r)Uv2dO7zDtv0U#4Jb#D)vS{-Z{2K{3~M-Zr0tWo$G=(UUCtV6z`=Pks!
zyEQctmj|1TJ_%!SyW@G;;5t=ShQc*fGhCR}=rncp<-!K3BQub;T1(QqO^~$_h4%lf
zi^h`qCB__RS|E|OOD>`g^L4TPI??Fd%ia~DS(7)dGJu$D_ekZzg;li!XNZ=hOY6@$
zqSjs3izu1-q!A(L<9FnNQxuU|xpzjuYGX$57k^CugDe6_)d)u+Q^S|9)tcWu^#pw9
zxndL!gkU-_TWZObyVau5qnq~4Z(^=9(@Fmf;aH{99sN+RT&+pa?{b2z<HP;h6A-c7
z=<&zK+Z!7|)t+8%z70n0m9)AkvMeTZPUe2&&i?>!SVsNPPv=(*H*45Tief3kK1H&8
z*egp>eJTx`zl&8SvsrStf*(B|wP9#i`6H2qubCM(FX>)z`yl9}=GRBsL@dWpnZWTa
z$w@N1CDHrso6kEoWi)Yae}DHprePOtV&1P}%oOWKmp>tlaXK2jAZb@Q31M_ldH~!w
z2ohNy1)wl1cDg%Jrd<LE@gj*78o-FP*GnK2-rwI3ltnf0q{!lf2#m-OLI}J{r6qWI
zp{FRJ;kHdH_-~P@HW%$T*O+RzEqJv<yMvZRF0ibIT?PTa4=0TGZ?lT}rO_0f2ki#q
ztc9Q`^slq3LKrGXqJZD`V}-Kj&UAS?q<2$Vc6&2JwoR)$+nFXXd-I=U_*^$5PEq6O
z%taUx>m-U&B=Jy!Oc+$rIPET#!EC^|=k85@MC+(-D1A<PeIl)fNZm>j0evxC)Pjmz
zP8UDqR9r9ZG;OYnZ|ihn=WZlv>n-z6FP_AVZKh>!CF%NxJ>?@`57*^h*-ZW5AC0cf
zmo@DYW9g5L0oPlX`6V5nx2p?*+q~e}R^hZ7YI8HBk2t`j_8p+=L`O#h%lOYH3CHtQ
z=7CISqSvM+Z3T?Jb**MgK%Z$-9^*RzaJAn6*t19s4mJnUWj&kSPGFk~0HJz1AIHLD
zJ_4#Pqe&UThI#R0#Iqr=XmEjw`KyCVH9DoLc0_UO%33Iagh!rZ%<ermdq(t`9egxp
zi<<=8Cn?VBQlwSt_f5~M-j8~2)tcPLR0`z$a^}jx)rKraV11_UgPWTlW;m$ME_QZt
ziTQAFfQu&mf*XN@aK7>j%<O{O13rtna5oPTvorxu#*aqDDJl=-3c2yS){$5raXPW%
z8abjdLkUD(IBu3&d%jgB>4O2;S%27khbY9>w!P=eKOa(0oC9YWx9DDN%Usc{R#g%y
zzon3u*pj>Ac#6;>;dWLb=5KL!&Pi<A7oFZx)B+~dWV+X`e*g0RN}Xvo6q<jDy5H@v
z`bo!>q<7w@mdBmR<wBE;t6lwzx~!#Ehb#TM;T<vm>5HF&pzF{2&>m2W)kd?qW-ARD
znW<mDegSFo2%W{qPx1Z)%w#izUn#q#3K4|(<tiR5mS~vMoMkiKlf$Mfp*@tPX(G-W
za(jc|5T#dFnNpEFCrs&r$3B#d5=NNJ-kt|$gQ~Q-mqyIOjde0zs?6aJ2Gf9AtlMY^
z*Z@yQCs3cUN_O>hXG?K$K9fV>537BVO?oOOs^}CVP$y=O<hw~UGaZ+6;5ydj%{NfS
zch4Z0Gp8+Y+7rT<5yR-2&w4hDbnV<bwd!1RzF1!wm>4*_Qp+$`fR0}%8MP}M79wtf
zLH<dnMAvzB0A&n$W<lO9?p+ly!3;a`#``4pyFVN^T|&~s-A#Qs3o)oHKI~&=@bgLm
z;E0knd;Gs*7l;u)VKop=0Le7d^QMXbgpz54{?V^2hk}CR;?g{@N#tJ^YP2{xzxIxH
zJ2qtp#wCdo2w>fEf^t0$r|Bn>Z$#Hko3}}DNE%(+KvMP}xy~~j)l$NE$b@46K=por
zv@~D25<e(<PM=}1==gAdo|eQ(Z0}y!Iw=tQ`2>TcU&0=ik(h%{agiPjzJ-|~c0>qa
zi34Fxir9$oCb~;9QZ-GmB@AgzJI$MP8l70dD2UX%P?|V%oJ9DzFyVM^UjSi%__rDH
zf*lg|g)2L{3wV}whbFyw<+(ljWKt&Y$C(4IO$~6%7yCZSu`ON84o~?}rbaN%UkX63
z_XdDUibUb#oD8qtKCo4jNN0x193wS+^j-k}@!v#5MI~v@E?lcx5{_d<k&XC2m+7JC
zJ32aL2~o@qt7xYwb$LoWTZ<U=PzuT+n&m>4n1P9Xb6_rVDX3gmJ(Jm0>SBBw-ZE)e
z!DSjGoqI(Y{q(!1s~~D2ebD3KH7@C8U}|Zq@{kFQP*rX@suEYEQ!Yl6dk7O;w}uad
zMY?%IiSXXJlqx?6vgAhE*sU5=3g>SA1!}IH<d!j8cVs;t*X%n2{a2%H20>#@W)m3#
z^tvoU0g~3{Xe<W#x7=}Z)rtg9a<>Hc2y~sPtq-TwUo5>qii!Ye67Vo9L5m-43+U!&
zM-xc##X>=$P;_x9BT#9xIbE!|-hc{#A8Z3(4VR9umaLIz13UhYXWl*Cd~Jx71ffLm
zdc-JOdL|^Ng0gQ>Vj`jz<*>MC#%cPBI((}!#=5o7YAr?tTG>o7lxhYgYQE}8;Ug<g
z2~-=jRq8DaNNY51KNV*u77!#I7gptXQs7SN{wPgm;x#9i=l;4jrl<EAdEFOJrj+Xt
z9DyX(slL9+h}!gQ8n4K2@PdUZo}?0yFYZ@L5F=DqSlsE7N?D5C8?%e9N*%~RmEkgm
z=L^lps#)~DPm<Agt2>Jjl0dRrFTEZmrhKZI_?z3H19=Q>YnN$g1S*MIgjzW1{Nb&~
zipQ^+=3Z1$?Q(lac|<C=3|PK7{1`3NgB|h-qRV3VtpYidKE+T0H_omz`IpAm)qWF$
zu?%zI@Z$0YP7K`~g%z^w7d(NXwhZt}rQ?bBVSUBvVw6)uZX`mI&wBUYpE&njV#_%L
z#{=ESq@dl8Vd}BLW_w6y)G%a!1o2TCyVU7kd^tz7n6CF*sS>s~u_AbVdAY^S{CgMQ
zM!UWa85Wt(uCj)PaDFHy4klu8?SC~Z=~1`;jLnbUVs%35RD7^U=)S0G@EFcj*rQYe
zqbY+bOQ1mJTEoWKGPR?H$iN~<Yfv(Q0P{RSBFl)|8lI5!rGe54n`-SreTG!lAe~%h
zoYha$ofrQLCTYlzM#M>@tcg3uN#EIffmIi9>{h?WmQ-6fr`(XbPv67SQ<2%nPV9uJ
zqZu?<13s({cDDVe1>R%+vA<z`nxr*+Xc)orz;<(WCd9u?w9fdQxLeN>hM7|m3|_ay
z8jSft)K3!c0*1CeFfu|J;WE+3`F#SKX~oyCmN*F$dXa9^m0cPCPApd7BCl14`n_C%
zoV3ABg?<KxfbSgfCOVD3d<J8WVJ?EiM_nPRu^2gwaHxW<47ZFas(ssaG@HSTOji!j
zGRv4rWS}L3zX=%%7B1|DhlbMWoVX@IuZs3#NAG^H{go8=fx`<g>p^+e>C{dUbDExY
z==wT!6<ya5ss-vt!7ngi#2;dk^a9Aaw)i94w75!}{ZS_$*!K<4kqwN>F-RSGPXIzr
z62t^e*k|fOP%eJ6Ck-H=$R6LU-1dhUK)uOD=41#qFlZHyi6}M{{YCBa_g55zbUVdR
zpzA6famgeC!62ME=$sg;)Vc;w)Tp0~!=8)--WTo&V5DB-T>pKih9;Wb-rfu4N1>rt
zY7GPjQ#o0&a21<4Fw@Xcbx_Xz7piU-ngsa=<l3@hC{~WGdlvG>=z3+8OpDq0RqLV#
z?Tv(djI(s`*}3p<NKa+@rCpb$Z!YlgGiu!tS(}b58uMrSTnSWe%p;E_;O4tw>gjTa
zKW7%J?SHl*y)I=F-9q-8E9@_K;c@Uw{dNe7EnF57Vu6ImP&5+<RKyf{RoGhPNVGGd
z2<K5QSgdM!VnH4)<J-e)@9i+;iv)y(sN))Rte(~@gGLj7Xnvcq&e)lX;1K_nkJU2@
zM;-w!SbRqsqcr8<%xYU)udji=E^RKC;my}?FDkEZoG7$7f~(RF6B-G}C6LHpgrl*1
zs{}%%XAS$4NpQ7jAc~hE0tA_57jv6u=hf@u$b&)JK{Aj@&m_BNf6`1$75WNwK3H4#
z0QLB(=T1w27b0Q9Qq(B>TuLTWpU7HPDqtjZ^wHu%Y%4c^>A}Z@L_bDIDK+*rNm6Kz
z>9z|__Ol#FKVlCjEmMD@0XsJ&JaZ-2&ElPj+0e(*Qv+2@#{gnaBa=cT7vcTKB;z<o
zdjlh9MIz+oZCVVjrm>01L3_tk$I|WMSFME*PBfbf+3-nyED8mTk@Tndt&Q(Z`(D!V
z1f}#01b6cyfp)3{ZUnNKj+-$1gL|;bLf?eyskbw>gVi7!yt(f!a5s4-{U&>vVNshQ
z`zYosbsD5AIHsK3s*Ow1qcm6_jxXkFe7d{dp5>dHw#+|c!jSN5C+z@=0UxvJUmC=W
zE=e~+CDLz1n>p_hM6*g3FNf}~k3hJ2V3IAzl6Sa5(Hj{+P%548j(OmQQ*M(zzt`)U
z*f{+?B@VYe_wsS3zN^pGs@lm`lwo9=Yp-;!HTnm_NO;F@+t65M&^WZB@)<sPOGYrQ
zfB<IVD#W;!b3Eip$(|W`$8n*PC_Kjw$IP-)!iBkq*wC1UR0Xod2p%X78KGt8P!4nf
znd&H&jPFaHWM}MJ4~BR=ScMo^FPzRtvprP-8MeRJ%tGM(zi~PCPQOM}N(=}NR{%Cs
zpoCtbY@mqsv$x8AKMpumW!8PBvaRlP&Urele{ZPP6Y*_(M-AS7Am6i+{OX<;3v|$}
zI_*)sOrd~n$+)~_r@E#SwU4NwY9=-`H|M}I<pEiSI)6R>S-NlfrS;UhTBGIYb9Jtk
z!}+1nBqD{C(1?^9aS7WKiyT3cpr5pG6gF|;o3@DSoc?f}++tfc-oniIkK$=eo6AyK
zs<KL1DL+OIIQs$&L^}QJK@v!7l%bWFBu|C9YUUsI8q_E1-!M2po!vjq|3KBy2nSIG
zT!W|RzdsP+L$8f?D{a`gSqi6uyD8yVL1VHgh?rh`X0QN>l<{u2+ZYxrW3oN1#I+be
zgz~#q51C(ahf+jOv`c<GF2%+yJPiS3?WHtplh9)yPn81BuJcFWpl|`=H459fhWXkw
z<8fJwTZ1Q-XL3$I9v!6kkgxFK5>Q~lQo5$?t8RTTk<KdH(<+nYr4l|lXH1Vt6>*>H
z8zQ`P%--57@}~+BQ;hp`aZEK4N|!V^?*A@B25B|iUhdC&a;YYn9KDWAzdTAtW)(t6
zN)E0xZnVg{o;0YO;fVW{cj{Y=<c@ENVP>l0lKNW1!!9;X3s!yJnc5w*YMKfbDOLmD
zDcFCbcAmzI26QzE@0!xm(E~M*kTm#F1tG4<uef+4dblA5M9!RdpfVlQrw%35RJ50S
zDLU0q5XW!*h#J>--k-9Q!D4U*ZSFJ2jh36OI68!%3OA9Kk9%r&M3gq-zuE9l)}ZRL
zK_yE40Rs2Jc8$FVebhvUa{y@IcHUyC*))?E5m5dWiS%(<i9_*;@{;zF&ZY-j^7CQX
zKIz=Gpxl(F`4)()ankgHbOWBwFG6vpb?+=eG7?lN5$VLnIY}$D1R@`4gfWz#EWPR!
z^k9wD!SqtpuVu?^;)LHRd-bv)<<A03(p_&&z7)MnQ&1$9P+F^Z#IiQYni|l--;{G{
z;_WNR7a~d(R#cn<*TMa6W{d(S*3`q7N69}o>9F4{*d+&09NZet>9ppgq={B2SX+vO
zcRO4*rO@g1Yv&JZVTz>-Vy@EfZk3tJOAOX@d6;bxv!CuWn-^}d>fo4GxO$&RJCwv_
zymY&6O>D`kpr#wGxmkEWJZEUawPYuoT<F+5Yj*;SE@=y{Pt7mY+bym1DBA{p1QTtC
z6?NIXA%+Bw7}4OM$t8juQmrVb(tm+nzw6Z#=Kozb=@%5H+vI#Af`WM~6qG{t^YmP{
zIe~)SE?=_NiffS$r6<%IJmKNfKyYq8Gjh66%@!Mk>%npK_oiibReX53n2^pN7RSN`
zdEPP4Kt4f#5+HjixrxqnxH+^Y5j99CFW+hKIY_t&xMy(?nlF)j)5DHTShd#a+h-6<
zham5JzTdoguvTkpEJG71SUm7p&cm*CuGmV8!)^T@t%a+`tMm1@5p%y)PWk+5VBh<F
zitv5(*QQJUYRj6|=vArvU7PPv5p_$bmaC0rgZay#6%Oa1BIdb0ol)(Bn7~zA=RC>W
zKY^%tUtW%3b#Y5`qE+cu*&+U5nrA;fh0^h59sa@6xZ+9>Nl_yCv6Aui0Yrlu&IT_U
zqu6b4Y1=e@a|I)j1<^WFOsz3aP^(OJM3+uk!1PPxF9#KnFB#SdUSK_hl0EW&dR2Z{
z9fI6;MdK`%Y8Ao60d~BKo2|Y)CWjea7&9}o;@_{Y&&ONwT(vW0COI&kCuJPDaOZE`
z!8Lj_%#X=WbOoC|DRp?+zfGkd!IMco-LcDQ=}0w(dY4|XhdMO4z4I-`$C)*6)Z<nK
zW^+XI1`>=vrv&%rt^WHlfX<2!OyKC{er{N``M6%g6?h3zu28DFb0`X`)e9`FV3(Km
zwsUr&xoc71N&dD>SVuib#~F|onXXh|#YZ>N9L)vci4K!fL!L?{E)R5Ra;4qDAN`uA
zsB=uxKRR!_bEUR1Or<QG>d9sN<&WIviUP$Tya!5WC1ReE9tL0*tPz*<2a}G=E3Cd}
zws1V&R6x%ISR{O)^Hi3rjBKhNhFdU#pbD~q1j6J7dT7e0M{8p&v>iw#TNm;~pmTK&
zQfwwqZ1utIPxwcS5Js6$w#p-H0_WB)P&F>!s7j^WPa_a{Y7C|rAt2`NYYyTFMH*2D
zv{MgOp==WtV)`-NU+$Zq9_-?FK{jM!+rXp-y;wwrpz$C4rkF-1^Ca{+CbT+_`5o_1
zwnv5z;uPq7Yd=Th65CZ}%9@B{<9#h!%>fx85~?e1M8@h-2CplhFhh7DY%k!}*&6_-
zCQuYl0u=OaO5xCg-bfsbYU9Jhq8T=MPX|Db$Xt-jWbWx!!SJ`eatWm;*yVZj)2FqC
zdSeG>_GvN;ev98q{o@GNeLNHTX|~|mSt_FAo+KIRg(kMTGG6oxHrpgekQm><9u~TD
z6|oh%Jl&#%TE9(ezC;|-LRQ;%{Pk4G;GVMzcj6E~p4(ASAqT=aL0))S1XROIle|s2
zhUK{T{1LAeX1vRX;y}E^S_w@x`5I`uJMV$c+2e*B@~I{1L>;q-RVq=w59d+7!@LSk
zv5aB^HYEo##5FdNGjf5s!~gGMl?VCBT42WfSUgw&^jY}BM0Ly=kcS~^#Aa?1P3dfE
zey$Y}_k`%f0|C1cgY=u#b)a;1(iL%~<ijjGro?SOqJz-3@~oRF*evLx@yN3*YzMlx
z_N7iO4jUZ&$Y!Y?IG-msLNK|HSle{A8$k^6el3?9RWLnl{&X%t0Su1k`d|BwJQhBX
zT5H=1u@iikcJ21^(3Ccj^~OQG28yJJu;pM*!oQ-r>t>LhI$}XA&0)4jg<L)&sPkCf
zJgfGrlZr|`_rdq(ka;DKvI+dNB;&R>dQJCm*Q1ie&=?Gd0V7HhCn+(tVx&b2JC)cv
zOM&eHthwY45{y63XiFlE*K3-Idm=>>*x)fW-GruUfg4#`Y5{|hOWyMjw}{1v)9|H)
zaZX~C)D~e=%MVZi8GnegAO{UdTo)E^9_meYBBHGj+%DChbYAbTcjM!cHC?Ofd)wCB
zcqP*&KVu3?2(RH_pl5NiT`IPekNRcv_K1WNz=HAk*aoxXgi)Sz%3KXk{A_)fTQ5OT
z&xsv3WoBLW*rsJfG!pUzCs^dVnFiKv5E*?w%R}BO3FOuKW`o5zhZa11vU2f@Q2Wjs
zLv?lyj;riiu~ey<z(dP@e%=UFgXlmRfFlYC=AyOM|3>(xr2~+Lp1f>8L)2ZhSi(xg
z4@vK9xkng&z|hH{%QG+x&&-slH`yDF3g)Tw?8s97qF3e>DnW3m=T9yEl*iPX!jAe`
z^?ditx1=4z<6?lGSE%EXcP9}du{n4I{Qj|FYLQ0gUExfI=K{y%FzNGW?(ewXpNeDE
zNldxEL_yZGv(Ww#v^MG<?d=P|C<rwogs=_B?(O^4dF)dxYUOY6!<cZ3AzA>&9QCN>
z>6EQrwHDDx!i8EaUT%Tx2ev<5O-YYseW0^w^Ec^7E3C9Htxa|U;=5z}l!h`NZO^E`
zXNT$IdK(meZZWsHw^wU)MXLb}Kb0cz9|JkX!Hgaf=VjTk=BHj>UH~r1)Zws{jQ%U>
z1CsOtE7URUnRhumvKLw10QgASElW<~9W}p7cJAOOCRmz~fTRd_tbGwv6Z-u%c95;T
zB%ZvjT07V5OArsqBuusRZ)qjk;tg2A)AMSZxN)<bbcc&Y3WpQzo8tW8QFDE8O&fEp
zd7(LVutpFOa5hmR#yi<jv8xapbZpVKj_!+MwyWn0A57$>#3M{xQb=pioJ*|BJoRNM
zaxVosJpe)xn*#jpozMwUkJeL(+qPNmadaxaa4VasUlR4%WU)${v{u*O(T@>&zjO33
zb65}XneQo)e>q!iswhpbX{xi^EuWq)ELTF^f!F$ITzg-{SZ>Kbe1j1Zb>NU3))s2B
z!xzWfShDjxr<Of{f*o9h*C(}-<(omSXVWR|_M+Dmj@tDB6R>!`By+919MPr^`$YBW
zTZ#AMcDRQ&yt;(~MO@d{J1Mx=KN+kkKv&evOe{=HPQa+=5nYMH?kH&MxPvULqqvzI
zLN8~0JUz_!GfP+_P7LZzCJt33{j??Q)<eOrv4r^Crl3lHJ~&;_6f&IT6nsP2A3Wrg
zuoon<!FGsMQLP+<5^k^jk21ARn<g10bIy*(-WL2{iMMtV!7WsTVDuP?_3!-2hz4nC
zuk&r32<d(!GEp~N@Ax2)2i-=r(asV2BY89s0kU$QHO|%%eN4Q2s%HMQt<zE+ZenKa
zXp!&wUP*s0;>iolEyoOh6R!Q5Yccw))C&HoNcx*{<?{X2_S>IYltjTq)OomcW((mO
zK-Ii#{5cUv7Gz;$Z6p!`!4A|)4u?Si0aIci!do@7Jbw64@?I_2{%wlwO5dRDMK<$}
ziGLA%6ANSxT+7QYT|`>AN<9C7iI~?j#xc3M8El30WEvzV+V)5_X-?qDLM^90OXvKI
zNzR!U-_8AQTJGQBiXdF&+&RR=Gh^ZzHww`&4EOtsz%@oPqNc2b9zF$eMBB_9cYj}#
zGh^9i3S{LhjnTOIqM)9&m{@fg|3+Mu*1h$*-}j*aRa$+tX!YxSZRt!4bQDAb4uIe7
zyWbt@H4qDvR=>Gb4GrV;Ht<Cn{^ag~fncD4H~WQsT&HbXh**M*F>xwedEygJ^~iw6
zRBgKz_ahv89CQ2SR{&P147$PjaG35Qm}w)pVhwH3H)HmAvA&T48^4MJM<_Sxx{4|q
zD1;QVi>=3U13j5gwv__EZBxKF4g?aTgrV!}gpcjr)iDT@!~H^18LHK`8|zOJ@!s!X
z2jW1mE*D4MSRPDqc_$-sZ-&9+KlzHVIw8Gsqpy<QZI5u~DzT~LLzHoPhjU{F#r$Uz
z0fAw0BPe%O7pmD~CyW$>$y8T?h>w?N<FRf|w}hYX1pJX3MF4HbuEO88#KX6gU`ApZ
zeKaRb-hrR#v9gos7fF4}uzvtC_bK0FjXI&H3!EXU<qe^TpYNLAo_ijQfE1-Bl^J?j
z40x2SgU5CzHH{jNHU)gi5?WrMDmHhtlU=s9yqB3)-v}b<O5r~j2KQ7hH->bA<l}-s
zd_0^8)V1ClExHt@HGm^lz$AjO;rA3r3RN{ZRJ(fY19s2j<isSZnb@0(g2Bp>wdGZx
z#rOlZg=po#8$6l9!aBujrGB+K2#<8i{~TcF7ez*FH1MyjoHbBuG%_jrQVR2^ftGD@
z3HQ(t{({W!HUc>hDtP;W)u)JyKX+g|Fn|zmw$(sl`+1j7tAGe4QsGkLGPu5crk=1n
z)Oh~T&SHS&L8Yjtn|`r$_?u&OH=HBa`#BMN&*-)Mom!LaI0!cUd|K#`%;0(WFRdE}
zChs!(45YuGq{#QKE`4d~sp+0`x=*8E4`!u_Ps8dk5~b8ANG)NxjT-g6Gg@t&Z!W%R
zkd|Kk;{Cg#I;RG;Tkb!TTpX81i^sl{2k1UcreAKsuwGZIyUZ28D<11FsmtETXj69p
z-e16wK&dvZJ#q0W0l>2T12?)Lu0Rut*rBc2ES?JS331r_TSfK3Xtd3VSj$p~4KP8b
zj)kVnIk~74bTtsXk&P<gdBBL6a6}lN3>|uMZA3ZIg4$$<qN9U&HC&Sm;O1p!`PAdC
zmi6HxFQI!eOBl4v=|#QbVZDoJ&9INH3w_}^AxicZSI=*P#{P1wIw)cgUf*6$(2|J;
z5r$L=$5gLIVH~(o<23*DWgh9J%g9O9!Fe`-%PiH1ai6(!ye*}>FsbKIfWA<iq|p4D
zGHVOFBJJ3Rl@9Azz+I3r$UN>g8ue^+s`yRlIYL`l>|y^{>MZOT#37iKm9<Z0s)A1+
zrC@WsCLap)vdm~nG@9&3_k)i=aFVcKPRr*dmEQM)TInaZ-6fH*LLdaHtBnnsA9MUO
z6H~7Ps<m>QBcuWvy@*XYrc9-ATdq^Fp(2$%*PzH!OYnoxJ(C7<3S8ed9aY4z*7d;^
z%b7q%izm$)G7S_=8wq=R!}weDe+~QkXMp}Ua%eDU@I`tma#Wv-ZdHeG-zYkM%uVgy
zwFVUT1U|)sX`sB{e`^}A>z>n*Nt?2{;(4ESxk>^b56_9WlBk_08f~+=Klu}G7$wSn
z1T-=B_;bPSdX?K5)DNT1497+&-M~_q)~{hF>J`RdNnYBBMM_w%N*Aj++W-;Dh*VCG
zAKacmnO_($SMi(!5#Pru@Gyg7;Gt0X-a)jT=<a+;UMp>Jb_qN202w;H7_5U?f-@eO
za_rmE8x}^ft#|T<S$r)o*4&1M89+NQT{;pLxTmq`NA=%c3%2R?2cof`Dwy~jj1*gt
z&5`Phs<IL{dEYIgsXg(0`d2=duiK`3TV@~L;c}Ozi~i;=&!=Xusb5FXxWAzqwd*XY
z7`3TWjI%4YInK=%35+HlujLOcM`5z+bUxd}*hi%!6)`_d337SW4oE!whUs7c4V(d?
zNl#VG2!u0L5Ue-xlOqXW)~bDs2|zFoxHZnWtepQq+N~SOEhTcuv1B>2>X_f+6=qXB
z7B31~J^+tZbLsGEX8JLT%gx|*)eywg48JMsl9xSa=U)&jl^yZ+vdpM0UWIFbhQ*g)
z{Uh?sVF<k~*!eFh2e`W@Ud=1KAu(h_O<U54TfCM}`g7|2*+uR|Y}d8N_$}g*-ytRI
z;oA8w{R$UECzTqF7{OmRPONduD!Dc_YZ=waz^*Kxs&R8t!3gxJeW;<f*a+gnD74lX
zm&Cf+K>vJ<Ms+}TB_%Ll4wts@X-X<sfCZ^bJ%2v<GAta~r%d%gj0==`Fi%~a)1u#i
zI+PB_WCx;UO626CM8*y5n@#S<9uH!iSe;Ct;s-lA>H<zA&){^S7GfR<E1$UJDzo+|
z1-!Fdjan3IqK$I)-%fif`*OX(Ft|GqI%acoabGY99MFXzBZcbv(L1v9+3|We7F{E(
z;087C=CQPE8W2AS^1b`E+#mchJg}@!=_Xu?B#^5LW>C^dV18bHGw_ky*D@n3Qu|i+
z`RTM<shaC%zKr{0vOXRxweQC_t>2*Zs+4sHjPR&`K;E%~PzirXB-yUXE3RGvY51=y
zt-s*0Oe8)U&^>R25#UL-#0t>8jW{ZYcMy9xXxGw*=0BH>4$7lFC}GjH)n0e2+crhl
zI3aat$Y8hG0UIs~-wZxkRG5O52GzYh`M=9E1Sy3ki__CpMtQL-6RTlzGcr;YISqMc
z;u$Llh6ED6=?8B!@xoi0K7Y_^^V-Q3q$oD2DWu=V{8E_DH{nxi2M$#1*gU$2P09mZ
ztdJ!}j3BN~xR_IG?Pdp*%Pg}hU$U=Wgyy|Yoi^(~A89L@qhwK2f0%T;eV^Wt?EmT!
zkRLgV)x~C(F7F|mTayp7*)M$kD6II^X=VQ7>|1wj2~!CWh$7Q2l#RMbgYro?C<S9g
zBu9$YI>kE%)4SX+t2<iYyS8<nqthDEM^M17$!Z$-x_w!A_2yu8HU?HC6@#qVFQE4b
z(5M}STHWzHy<B|=X#NAB2C@?q9Rc?l2|x4M`cqVhNC%p(qmvY%O{#l*-t^J=4wLnj
zK$1W9Hu)*>>H8Uk@kWNWI#^`B(D7*d1Gu01`CZC4j}e}?D%Up(dszYaJ&dr~Iq1Nk
zlD;HYsPm-F?Mcr<`#oISz=i`_njpW;iksw$?d^c~p#5U_6ZbILvvjoYwBjDV?W_bv
zVieLzr5`KeIq!#tcViJ%;k$fJ*Nd<f4mb(w=;h;44sIhtrS&uHFmkW!iwNxz;~dak
zW}Ihmkqz>bN1^aERY5vXz;yN!^o7C`YHDf%K(|{!nxxZV`o{hYRK2Nz&gpSQIXSpe
zO>cm|FBQD%*<UJSaEy{yODn<U;`Jh$?q!52_!xw%ijM2zAxLY)SEW%(Z-SRTCZ*g8
z_XO?g4*P6J=ynIgBj`t;B0|Wjf~U|z<Atd6LlD=584};9K)Qid6!@g_eC6bP*U8C(
zK|{m$w>iqL$E*SW?M1P`PWbbAoLHg<en(jwgBX=d9;936>jNQTt*d=;e^ORK;>2<X
zoH@yR21SL*n$OD>RosG)2pmipqCqwJ$x&h^N|r%)^t`(MS3#?dZiqmnrw705^YNks
z0GMfYnrDlj0Ug<Vg^JBez0r;jfWA3AKc5gR6;xi-4oV)~ZftBhQqgLYY-SD?<7pU~
zC$C|AY7u3Oc`T4bdLeaH=>}RVt>S(=hP|HEL3Znr(d}%Ev6Y~>8s<0X>L4>tlC;w>
z7>h$*)b>rAzrb9%zi5a0I7Xi0Nq)1OGO<dGOb46m4$lr;c?SFGl6d2f;^iuwhBLvm
zKD-!j9l`ln$t$k1L)3c}EJ5qsE~Api!F`*$XL(pH51$@57s}`BQV**x#g9@;-|<VW
zo=3Fkz}%#aSdIeS3UT$o{9WmvnH>ZSMDwAs!fk)up(`sZJ3c@^bq9OMH1Mk5rCyK(
zTx>pFx%2xw`J}$Bkj5lnX5GYOWD7dra}Xqp1V_(=fdZ#^iOovx*H%9<#U2-|yuNKh
zmurA=lA7Dn{z{?|9A{JyIU2_<9iQjVv&^KLbi+2W7v40BOg2sZ(wxSU!Og%h`w=8m
z!gs>&7CPa5n`b&U$NQ_3@|EAlvL_xZU2H^Bk<6+@mMqGDb4A+zy}#d(v$V-c<-@c+
zluj%N+#ol18X@tZ0OvhP#JYqK{LD&1pG0`EB=kkIRcoJ{_kw(+I5_O;GaUYeWrbqd
zEYK}U{t+oN>wIs|@%`29sa)1J2{DkJU1T(+<*4z+bt3)ykxFzl2csL35SL=Pq5vDW
z_5++A*^L8kUMK;`d2mnZVCE<OC|~NQoJ7=DFkp`r0dK_CSEbYokQyjzrAR6@m(Ig{
zUcwmD<}#0Y9!EVoh0B1oSzUda&KE-e=*`!e>b7>3u0Jz(V<r^m)wH{Hj6OY$UT#&D
zJ&EB&C1DTczMrT>^P}@4J@Ka`%a1_Gn@MqGbo8%;Uf99gxDr9UGF4Prw5VaxE{Dg`
z;U<JejCH{RdG?u%bto*HIw+d4mJD<@06eM6MnNf5YWX4HK>w#IslY_F!U9k*Frd9D
z@W;!+!NJShZRpLnROK<Xzzp&E$4TM`8v}!+XBJ1-eS><debQJ`Mwssmj0UHUe>)2p
zGH6~rVJtP~?iB=q(Qe_<sYos5$})pv&MY6+hlx-|?gWQ?L>0GmO=kFF^TavXdd|V3
z;0QG<Y01>wTvThTNDTIx&+cH($5DRHD2EV_xSp3mWNWL;CoLrgkOv4)gIUbp_!Fes
zhh$e8>E{+|Rchq%Jd<#}uY$5dB3BS_VZoCUwOx>?btAtO?8p+Y6fLx?&Zg^woN9%+
zZcP>LiKq@NJMy8wQ2v}QDjx&XphqJGhO5blq|!j`s}g`$@bU3+dprQ9Yzo9YuUw){
zpp&IcYQUFlKmc7bIZY;2F#{V_FJjsojlDKIdr(|5h3LfxPutA}hP}CZ;6ceBeK&uT
z9?*wp8{>>T&XPz&MbCTV)?oqGYj_S9eikSmrXX)5C8OwyBVejX`t{t;|AEb7$JTk`
z(F!W3zWyxf?E!Avj%nKJ|5bO6|8?|HyKj@mwrw@GZ99!^n~iPTR%0iP8l$movvG2!
z_kBO-^ZWtl&B?p$y=V5!o*&n`*7s7md}!_9{iAURjW#@B%E8rrzRSG3GuQz9Fv>+S
z^=cr(GAZfzlHj3g@G<weV=hz=B1b62*s1k^DNCsbJ<v{8@Zv4}9=AO~V&{MG&3>Vm
z3Tv{AOm7?8iNh8tvvwSsn&(n|xfK7fIa__aI2s5?JhP3YU`+Ha$LtJtZH|NXfmUA;
zd`<`%4)_V(3{WxIGco=^erS5X-7hv-Eq1${rrfCSZ2(}Wkw}vxk07TY*T2<%8E}3#
zif1od3ck^=@>VX@lezkFzRFKF=puD7+Yl!$FZ8crRFCt9q)Ru`!zId)&b+S8qoe-7
zT?>TwfEw4^JU_YfcWy*4m`Z3`H#kg|d|aHZK1}#|hS%=vt={Fz(!FW%Ej-pS$&Sul
zD7~bwOhJAg8A+ftFYCt5=V)u`*uMC#=OO)KHQX;duO2aj-5Y>Dyx{_JJy5P}r{}%P
z^6P|r`<Gk%fxw{D#>p3dbEnw78QHLiB&f;3fItZU^Bl0>Y!HXhKU3?Fy7T7+&JEm6
zI67xMl@K)qgHUY@rTaMh{Ge6nxeWTg(9@4fVD<I&DJdxpEJ_A$s^C2@o8_jjP#oO{
z1b~nWbpSlaK{lJYUknq<1cUE<!@^jEZ+L9|<W7&&mb#Wi#4D;58NaE%U{l67ss^W?
zKf~95iM}n7?EC$=&4jGUH7K_`?a7Gm&l9~amrC;xup`>z=P^i9Dhi!ZKf-iKh1EoK
z{ddrB5KA}g>9uOlL=hAGUIH`I+g}`x!gwNQAWwR3h{mX^oahDS{Y+R+<y@98c8QH-
zfW&@dm-e+&G!@;A%uWRCyUKtBuR^nExvZHn;<vtUtmV)HlGTI`S0ua>+$@G)+M}}&
zM^b{quX6hU01`70W06cGSG2VQkZN;G^xbkO?G`Gl>swPfyp5pjbDLgw)>CXsA4-@<
zgUwnipw|q3vW%S%74Qd-u)>G3Yeos-%W%w2U>gw=fg*vv=)I~<6$9DM@=~SFAfZ>n
zB`j`2ULDY&-Vh6KXyz9hm)#G4ayIgXaUvJ-@Ic=un&dobBngu_z`B~gOB<`0k;HTI
zz%I}z8Yz<RmS;kW3nAG=4A}4%C*`m3JS!lYnK`#i#<8}A`V&^}97;Ue?>N6mg^V3S
zCsOIXZK|ikFf(tC$VA9iER<!$Ny#MZ2;shSi$9`sbRSSE+z803`d=gv#)KDr!*Yx{
z_<?2ccayQ_aFR5LS(3~0ZAG0p=uxlL5T!_w<t@%AJulYl>(9;hkh6?I)RzkecUk?+
z!nrZ|1EG7dsw?h_$t1m1u0-P^iv3z|1a9@Ru##OZPwDnTB1#XPPh33uHA8IfOFuBF
z_W+h&K%2zzW|JjQ?1iyX-kpdAlL0>36RxEX_r!87S6Pf~bWL}Z|Lv#s7fc$>o0bH{
zz**fHZq{IS(b8)6c572Yj57!(TS_ZOKRm%P<8ovO#|`<;n=d+N+g+hAkAEECoxeue
z$FL>Ad{u9D)jTAh?0aC*ZBOY1U&PSKJ$X#BZ{*`r0b9v$r>U{06c3z)Tl)St`h$w1
z-Sh4xGO&fsx+7pWTZD}sc@7Rc<)}&jgt=5vnegREcip4O+4(q~=Qjw;hesgx<#6My
z2-d-Ey;`V|erxJ9gfEi8eC-^+2?LK@(<XU2?7dBZ`>}xnpnfE4e*Uwm|6A67c@Z2Q
zHzO&@{d8g9Z6h588F}wg-r}?yNT7YZzg)nQySdTJd?hV)GK<D8tZzVgwUXxXyYTK^
z4`-gLNe3VOhBn6*Kq8uchIGP%5s6tSCwc1b?w)-$hw5)b+O76EO#XRGq43HOkz+~^
zn+u7CvDka5mSd~Da@&?pri{qMcl3sAEO>m=Ib6-CxMhlo1DtEYsdAA&&u`P$M>s$@
zrMuy7=+Y0hrVFZjj7t@42aKRmDwNu+VXFQfC>B$tQX3w7!6G|nq%Qez(QLfJ31&{U
zy@0Z?izLzzmfxZwTw=pU!Ku1v!|Rb1MP`I6F=wbMTsnWJ@vXcTRPJ5aOz(N5qD|LI
zR-mVPPVv7<x!@QksK<L3NpUWb@v{Y}hV96rb4+#C%N@4|#U`evdk6R*>=^7Elp6XR
zkpsFAnlodR(HbZ4W@9j4X2CwP^`-xCVcX3y?@@vcQdKjyjersmO?o_l!>B<#{eIZ7
zDAF!Hy<&<s#S5DH!pH3O%bKVPu~cYWf9G0xDDy%l(w7eU{_~Ct;uCDvmA-ItjH;{M
zX7%ksEg)~@<>jTLvl)uPvj(cq01=66o|SJ?pBD;u4_~UwWVDibcyWH6JOz?zA7YL8
zuD%tA<O-8%Y(M?0W`aCUu$C+e?_pV|16&0Brub($zdhDB1^D<1Dq6F6)>kkW;pm?@
zJA^R~=H8t+&4493HT#1>uJpy?&{WiT6}3kMcT|5<Ov+9%Rr8T7kC4w<u61N1IZ4_w
zdUxL1eU^W+btw1;)z+})v$jlPE4C@A$CEqn>ZvA96aO{HXS?NA(N5;ciR|D{XOQc+
zTwFNV%{K0Tl63VLfaT^KsVu7xKo3d$a0Li{0JQ~x-&U$s8zurijFmSEd2-ooh;%5s
zaaiX3_>otM1ct^&f?C4WXoCvochc)3X|&<r?c$6z8(TK@n`_fkb24shHWU({K;viX
zwmNkw{q;<%Ywk(=?49OB1-$~VKnxoE5}a3D%MN8x*loQ(w)HeEJ=k`^6%%Pi$>y+V
zOfF9<JJcL?v7l=&$Xvi|9N60n_mSqCxtyuwGPo}z(roH!B`tQwIIK*Hqpz(|EFsU3
z(s(E|-DM)0Cd}}&d5)U1I32{y3m_G8n<_h@>HD8@r%pT10UAydB5b~^8FqD`_kfF=
zo7+<@;6%F&*!BV95ckfvKRlRd4i&-}Np7R3+_nK0JJr|z6O_f?30}yM2PM1-IX>~)
zT&0wYs2%sABu#B91uf|jXIoO<YS>FY<;IuHXtIO^BwAM3#<{TXD8(X+T4PitReHHk
z3e{T~$yPIm#id=@%|;!XsFNJC?u*CaqSGzS&`6`{RIu4lY%o%pg^D^^=lFU0RT|#Y
z_S2R&gLxh%4kZ+wzmAujxU}!^l^$7^I$LybKjt8zCTl`4xVpF4e#*K>#_Y@k+O+}k
zLH@;4&V23RsXTR6!pW_@b7$Jqw8{NEYPVu{^l<;_+A@fho%?!|F@VXCAPZPs*N%dM
z%U*!Z%ZgkJ)UXO=6kJGKh)~gCZ>ulUAGg67lz&>LsZ*-#=ljw;Iik{+N@Z$ZrN(dp
zR>VVBq`W%;<0^vmNq$*@!UL4}Nsu*SuUT0mYLBqp^?U_@bprOoiDvq$vLmjjwlYNm
zINKnnt$&k!zU<KI_Qe8Q`6@gJGNS6*V95?}=<x#b<$iM2d2^rzg$-oem;}>H63e6|
z;YWT);2F4<G-wp)W_(}U_TjGkA#taLwp6m#R*_HK(V#2saJe|mi_wfo{T9vbv3K{h
zHdTjho5fKH1#&BX;()ghwru)7$sR^1=qgACX=(})X4i*U_WaYfMIOI18vTMrr7J^H
zB9Lvrsb>{A_96|q5S+Osl(P0sjpkhmR<Fr)JKAL7@6VL*u!u#wOM+HToTD)p=`J!{
zG22T1B5Cs|jzOE|lFJSNXtvcv-EMDg&bTI5RIR|!W#X*gV1+$uZ#XF~T-!ut!V$-P
zC=^nc@GtBtvB}^S_a>M85(boZOsOgHLYI0Ks8%e#Sh>dkV(1Es+G3gBt{evYb%fI3
zi(Hx-(f@0d)JO)TlqwGM{1ZI6UmdNtIDIk=vb;4lAPD>ZOdOCCa0qUfWtIg`*Ww=%
z#lmeo3vhTOJp`ZXJ>A{4+euN8%}h<Ts#*&Rck7IXmi}$^`fJ^9ZXfS~b2$ArCz`pz
z!cT#o_oFyJf>+N{?|2B$t+BnF5py;vZ-e&1Z_{sJkY?ui98;2BN9IsJBl>ZV@2C?I
zy<HxL<Z>m;erBu`F}M3=?)&WB(0dogh|lRh(Aa-1JOqZ1FhqR!NvEr<W)CY8Pb`3L
zjp+TBMeDgeFo-MQq;o4&ut();{MSepbz#*Mk){&dc}d5yFD4(cWcG~b&qOac0y<=4
z0{eUdcg7LzYI1a!YCaA#`7Bp?iE>fto|7-Sjpft~{R$n*=eIpsEmk^|vgSKNhJx6c
zB;CG%OA`>48dJ|=X^^N%{IAvjsx#6omWtmWQ!fqD|JLb<&t??nVRG=9$A!MHsu$)5
zjrw$DsosnehK4MzSEEowRm}J0hBAj_s|oj0ZuhEc!gDZ-Vf(nj+A_T>U)x7{{&S|X
zJOIe+iWhMcU@8(;E~yD|5we2awIC6u8`<T?YcFUil_O@}!~)I^JM_Lg-EzZoxAcod
zN)vRDzM)9&&qx|ABT^_U>tG}r`|Qtv0tnN&MQ46wX@KNGT6e;#!1W~JjU>U>STGKk
zP27ZoO_a;_34<(UV?3T!XJDssT`-RCL~sjBD1iCF{DQZN$zels3t)2HELxZf05mUL
zTwL?E@^h6t)c;01{j=2;P!D`KsmCva<ZR{p^24fKum_MzQ5AXt7G3OT@pmjHUl62<
z?m>A1Xu*&&R<M+vTi9}1T;_M;{nYp%zJUMf%Efu_gTYfIvjAgR6l>%6fJNmklu4+s
zFg!%yrlO}5p^Xj>OyLRO{i;LRSgn{yx^1DjIw&1s|NI@s$k-(7`U?9r@Mi)kUn2Gl
z*kl<(Ogb1^HoC@Py!m3(&mS)(?k0_-Tyx0rOY8#0yZ}>NwAKN4k_TN-%Z`+M$Z#Uj
zBzz>M6`ehN-DrGhfnp@abby9FKijN;7ScLsjAKB+bN_+a;R-MTU;asQe#;1q@kx-z
zCg<@MQO9SE%B#bx-1#?^-WHhoT?siin8zw<0x-nmaphfiEoR`s6aHwCSBQvK?>ksC
zF>Sdx7e`0YmKrp9cL{@&EQX2Llaz_1YM9hUrB<o6F87XT1%B(W_=5Ny-Skm?`#Qsw
zn}xnawF6T4`HBUhx`eQbBg|+9BdKJgjVmx5@ONxjNz9VSPj}#vj|Q3`Te96zq<YG@
zY@cc8*Yy|XYJb}<L6{|*SGMS6G0aOfsN7owQ6Qr-(_p6)=v4tF<Hf4IBbmP#To^lN
zPLf|cy>d;ZXvn~STAZ7MS>XNmfQy#uO>7FqCTvD*B6mR(ZO(6#=?E%oRmOKrVv9=4
zCc0ohWJQ9ka{CN)9ORXuY%V%MYNAC4&*Hwd++3W-{<v~_8KL?CfY5-79`y^_JCF?F
z<zU%)MoowYcmfXV8!)I-wOS|4BLxX-#xNV#{^tRS0cJI&8)pa?QA@V@@aVvEL5dPS
z{@)&!kk1}4MVNuP!ldbq>3OSlT<xd>3o!@wlqf7uGZ-#9{VbUnL;WN&N^`r7;NjFm
zw{qf74M&q9{Z04Gv{HJ`Q_?b4#&wpBG5;;Qgw`+_wp{KovqJOR3;TJc6hF=vB`A+6
z@a2PzO39C@*mnKkA&jXV)o8AD+lbAlyfT#SoDSWCKK5$Qa#$?j*E<p^5aiMm4o+4!
zN6Kphg$1&?`e$ZSb2$s81*64~Gprgf9;f^kDjQ13hP$S3sjzODzchTUEj%{ec(sl2
zh6f=bKT(jfiuhy^#mW3+wEv<nJ-`NCgb5W>$LTyGVz)y}iqOfc7<`DlRrhoh*WiJt
zxF&KtYzauTq7JIC;41LJ-f;py$Z<wHH4c2=8_lDWV1~#64z2orzOZ?jr1%}Uj8F~y
zfkvSAwD<x2g|Ot9HMeklkHoFZq?MFs#Lb$Het*f&s&1I4#-}U6;pTHxhz+Sk)Xll|
z>Rg1E(z<@EB~y>5DJu0vbtR>Qq3B2ep~Xa>M5dTSC(nn~;;@UH>6Q~RH(Tb3ts$?j
z*nGBjb!Cy^pdt?AB_$i`x!|TYO4}P6nf!ah-I;HAU&nBZZC?GTro8x?{AYh6O#Yx`
z<06^?n8TTunRTs1!ZL61Uhc|t@n^y@_b<&|!Rb<cMhT8$os{+~y175gmyY>IUJVPc
z1q+KZ2_sgVQzWa2`((Uxn<>wI-&=v3w?Y2z$$s^Iy_UL#zbmdsLcv}oFmLxm7|H6L
z0d)o4(*?Og^c85}Ak$)8G32*SppP=)FD@!As#?Htbzp~9*k5x(9&gc*k}nBlCAmY|
zRst*hW?jkfDET#JSGi)&p{P`4NRNY~sOp;;cafOX+EC0n1yvx>5EMZpf90qcm>Vcr
zxHnDg=JNXdDbJ9HiiJZ@ge3W)cCExU4cTmNKGvJS9UMy%PmXRDVN$Rs${V6!OhUT)
zyxS7~=*seQc2XO4t}%rbECc(C@^)175OD{I87Feivb`ojmxWv+QtrHD?pN&RkD$PT
zOs6Linf>TNGOwSJ*@R#c(Mui?S30(Tv>INXUJ6+2HCVO8*#I&?Cp7|^Et^fnSv-NM
zG$c1hejU+PpLOF%s4&y7#{T5Ke2x&3g$;aA@UH43!7Ol;;)S0KpK>-&GbsL~s7N(n
z_BL%(lbiuUs2?|I_js<Yt&MKZJWzk$ASVOdhmZjZT2)yEVEbaANQX9$3zUoZ8_P?U
zD@}ErxK-1ywaG<%Hv>Vh#zOX;-NqNy=S{prGGNN;v3MkI4DCt&UYa^O+*K?^G=V9J
z<P37BmpjO3V9)zj%qY_@m>w<Qe=ZPO!uQM}O7M276mQAjnj`r<svy4IB?cxKk&SlI
z3MC1xg(ew4XROtx({2BhgCSQ#B}F4~I{a@xAnHq@!x>F_k`Sf0X^3#xJl-O74MHOn
zWd~0(a+#v}A%G6*82i(563imJ<{KArmN6|m@j{9re$Xq*IeNh|{M`12sN`O1q>-lu
zghZ|<b*E$^qJ3NPW(xKFlU1!tjb6{aQEYV5PRr%@!J%Chi`<^+L3&-V`6}Bc4xuK?
zw+Q<#M<*xAcw+#}Sfo;3ikN#)3Zr|9%K+#*riTJ^d47k^K;6wshzCrg{_=*hN(Mo<
z2roKERH=<p3Svar;(16l{fID_LHxqsb@ki!YHDTILflBqTm6THog_?2-GGzlGh-E-
zUD$6eKiO?|^BV9dSjtvSd%H?88qrhHN--;On*V-^?Y_R?<A^?K<-1xcNAA$Qk<KA}
z9K~j9=_nJ1C)eK@jiiqG-Z9=jl3mXr&tnVu4I3)wj(9QZq*bPfQTwD+e(8BeN8a0M
z+L-sBC<Et1aBdo;)Wt4y{Wfv|3&f=#=?p11CBHz?sGV(R_KFX4A{C=-o?*JT-0h|P
zTEkxup*I340&~*T99k@HUM~6Pdx(peq~`z3$r9k=R-NVjz)1WhPn|`M8IDtH9f7zC
zyFv^dXIP!06pgco;;_4Y$Qlr)<%K(HxTnl)U!)o;lVqF;IW>L|^(azw{p+V!Cdfin
zB~!9tNde2RZ^4kK$I~6*C`(#3azFnGFYu-DZ=MLO=U&BW6E+n?5W&wAxPGWE+YT8B
zS<lR%Y4m=(O7Wi7ZWVZ*2T5Kk&x&>WVN&3ImvYhDbCaaYHlw%Bm_UqEbg$E7Iosb4
zvC(?naja&&(OGXexbWlRvw4;ugb4@C96y;BZ#p&^#sn4zgT$d@Tz8o$UpP<ri>96)
z|E7@M5G0ekW`x17G_x0M>0@>iy5bC6b6%&--;jqha3b^CDdtf_>gBPfu*y8?Ay;)S
zlVP#(Ou@{(!HFy*+(>OQ`|ji<UtNm;9kPc1aR-pXkNii<3oBSSgQnSN^8?P3l|(PC
zWx=N^HeKoZZUbk}Q{dNEENae9oUMG+=@D<0f(R&~>@GyFs%RPFo@%*?jOu`ZK4j#b
zvO_^%f`u9#(urIqn^4woM0zb`U<~RNYeZOVT|P#8Fj|P)Kw{E||MYZo=%Xe%b_i6G
zyGl5T^h-uqoT-jNswiEt7=eMG{i?MSw4`8b{nxq0l0cpTP}gSFRV;d5^W!X}ODL|W
z<PC0UTl2<tb4yfhB@-kC<bn<{pZqO%;V0AmWy62sWy0R~^AwYSf7ZbZG3|thRSGYH
z%5^B|B@_Hbwwx)oK*9-1`DLGq(GA$UmCH&$z*{7mqMdBf%U?BoA)+knxFJ`_4Gaua
zBF-y)zE;=De6C#E2ogEL<L}|)N)03~7|m(;@q>YvaVC57683^%ZLC(^UE^_o6Pkt_
zJO~zXQs_ca_Va$DNbqoEn3?NOgpq@$B<5;X&M>f)eg?f3e2_yDQY^Ok#E?M9L830h
z!Z-8Q9meLFXkO>3F!c-TBu~qos=B<iF;ueVL}QnVI(vb2XY~<sOsOuF2)ciS%GV;f
ze2$Slnm(w%1qUeP3sHIHazC|rTamnP9jMLr@4|@>(Z~DnfLU2GZY|EPte#`5=5uY0
z{C0Rdn5f)O^*b1^lS<yHlB}pv;Cz(*)=(z1Dmj2yD=HQ<+lF35Us2LqjYp#Mr<aL{
zkW+{H*>54vO*gLd=_2wn$dsc{NQg_34bKoBmwfhn5r-A^ydjGVaS%jKAblFNd?jdK
zMPc1H+{a^+FP!2e*t}p<(z?wF_F`wuO6*9U=_vUeIW5s1cd9a!VmmLa0C@78azY>5
zny@_k;Pb@kd`)SK6kG4s+EV%i*xxdN>w$b>?jra*?lR#=<-sZf(HmN&1q=Puko2-w
z&Zktpn6*|1kM(whgDH8hk2g1A;g^0V<cBtJFK>-tm5rHfl2=GB`-Q}q{QPi$5nJ6-
z1R`Vgc?0&oI})xr1Ac!!dhUjwl0w`r9?ZknQbeQ4QZ<@g%|`Y9YvLd@82xrXbh1RQ
z<<p!FD=Vwzb-!}-Z*N;g`Q^0&e1J%W_y?C{kU_LQ9OMZu!P(d|(1Poy=xI=UaZYnz
zte8suQ5F(?%#Rj**}4Ohim0u^AaM0X@){6=DFMLG6QtrE?(4ixh&b%#56}Md%oa0>
ziG}^}Uyv=0KysfA<L|sXhz`UWC9yc*Y*#-EyZ7VgTRySj7L#o=n{|KvI1&sD`3d18
zJ$g=N6_I6f`a<jXXtUt=tz1dV_Cj$MDvmg#piof-l)soS#4z`w(znH+pUt%ztUM}V
zp)3K?LL>H92d=I&1C35NyF!%8>-;m^DVUw4(TR1z&w%2L)Oys6@Ko7)JpZaAm86_M
zsXRP&hN5$a-eBBOAm<Yx4xWMjo<!p2jjA9hQKGZVB)(jf9-UA7q|%JK4%k1q+gWv4
z$7M4*tl#R}bxyh3xl=4vDug1Tm6c0IA>2^4sSs-@HN_ni-1<u<GMCi;>A7Y=luEO$
zUSp=fbQYq|D6vQAu1$x4ph}>jF-?7yP5)Cc^hdjLTD~?Fl05R-#3rD9>@MGJND*XF
zwaS}`CwaM03KRZ*roLEo5Y1=r_tG1_Wc}4XvBs+%#U>mA;i5fsKd&<n45_`f)%@&o
zW?<j87;1^Q4Db@42dHCQ&JL8YS-;Ylr)Ba*$p+{Ls^c>SNW%}f2P9^<QMO2$1)M}l
zEb<22!^y>WR=0^{>%xS$8Y$8&NY_TGnrDK-<8taaNp!0oj!W`n9I9rtH9OfA^IFt-
z^y)k+LuE0^y-#<olcJiTY@Ap>sBxhGiXIJP*4Exm60IM;q3rT~N-PXT@Z5nc`KXbV
zLvI`!w^DoPH(oi5OtZ4mE@-}kWz+)#25!<~(#a<ji99~D8GFabnC~`R1tlq&iL;$3
z6!07UT9igbzkmP6ei5e-g^|<1MK=!lDXGFuvT3ke5uMyg1NF)$o6sMFg72m6*(x$5
zR{N+QjJR>v2R+Ure>}3A8|d(=uMm&%e(qn50@R5H(JXw+07(n*>nI>38&=C;`25oN
zJ82I+TLt0HLPI7xtPhG*3t1!mvq|&2S>>PV$)2>$(Vk?1!)t0<j#-6&Q~d@g|4cK)
z)5X$7QX@wiXh`+uc(NBG!<Fe>8tsi3KH6fx0GAJ`sV}`A^-(1=7`U;vZaBJHa+AKZ
zWF76`CpZC&N;~|~T-cH4^z1F1J#Vhh8w&x3MM)T_K7xk5t1V5&5_TAC<X=%=h1@{*
zVNz><Fby7$mop!yAG_@aO;F3Q%JF)rgrT&vI-y8?SKbEgfn;JfTvw`69T54x8bTyx
z!9rhr9H6u_a@2bi4odzVgGMTV$?|I|5*YW_nKPJ5=AGT`C~D<!C=LUY2hl3TSiQ8m
z>4R$Wr$+E<9LPR9u@O*o8tFtNxEhnz-1yG_RF0T2xXaZE#j|CJxK$&;k_%eTU+f&8
zZlcg=HrS_Hj&ZXZQBvsf<n}(lcA$+^Mssash8o76cs<y@+%GCSk1(6k{(5>@VMebj
z?Y@2eN@Dbfr0xPf8Se|YR9tv&_(*feRioIbC+WcFhYh98e9;PoHWq&vvt0-WjTDMM
zRS?vyS~#CMpe_zHylvr*53!h1d{B^nn?4?W0b7+7BG^W?n!w)<dAdD3?Sz^oE@i#4
z++rB^XUZ-fN_NFO*;?ysv+Ahv+y59$@&8*E@g+ZROH1JUe7meoMBf@)gEtYH%sT;Y
zM6u;1HlOz}0>8IrNtE_)l|ob15wmwltq9`WT%!7t!{}ULti*({YgWtgbS~DX-B@+?
z%7tGk!>y7DHgN+3v(^`S9j;4HxBUFbr@ANQO2N8$RA{M`(#?Yz4LU&)+Ub%=cdSWb
zWc~DKV7f91MIzk&dP$3}e}35tU+Fmzh9Gz=%yJaP*t2xO25UK>t6(7P;1<k?aID3(
zQ7V7<<XHffeRfgNG1W(Ebt<7sU%Rw(pgc_H_7ttL(jW;i7i#q`4-eG=Q)!@1tCIT_
z5K`&1JLg|10&Hw*K*nFA!%g1zGPFO|)80nK{bbz?i!U-=&rdGrUf}(si6wT25VHnh
ziABS*vNXL>h*kXUdE>bqldhQvlbF(PAKAKM!&NN2S{`6?nC_42CMbNLh#o&@e7)+X
zE6#jxYkR>@7ImvWrJkP3<RV9km~|7LtCTjpqN!8l{Vb@+KY|n`ws57YX=5hsO;T_@
zoD^|aL(naLJ(Knr?>=^G|7a?yRbHpW=8O&U8Hrj@eI@{k`r|xxbH$52L<}CSuLx?%
zFu3*>D4tqk0+>yhfD?HPK5skV9<{Ntq2|Wn5THT>$NzRW+vapAm&+&n!Gwg4mcfSB
zq$5K-x0zAtW@)X-1eMlH*z@I4$xXB@KK!|FlRu5G%xclLK8GJp2j{67@8C}iYxtbv
ziA!lI1D4>^Gn5yL)e%Vv7gr4?hrPb>URY^vjBwyCofGfHrJg$xEyba&&EU<xRfQVa
z38cNlF$Ny5{Knv8oWA9WO1`Xb7+pLw$_UvB$(RZcs!M#+x3FzxWg9bS4F=38N+ly<
z29qG#&sY%6m61Mu)A{_+n^kOxtkEhDvPQ6Qde-jrDZhnmf0<t$ANRBQhhGUA0&4_b
z&$}PbG$#<m#Cy|6{Qlos%<W}NWAUj}9wd0Sx8k4><PlU!`@vWSk%i~LA)4(rGx#Wp
zh@jNYd$^M1WV7#$=0=#X@CO`k5l=mW<arHxs?i5dD1?;yv9?ZDq&lTT;m@)8`MOOf
zTJUg>9&fX=X3Dw9NsK1joZLtXxZQk>Hty>ZTCWVgUF?d-axXZex(}CWHd2M~_B+dX
zg$Xb)V{x~raF!^&uwY5EU?I)961Gu6ma%=#Y#vOMaZ$*l;KJxvjZhp^wy~nz)jUX~
z%U$wfFH0LPplWE*vulQu2|_?dLPD|>aew8I<!6|y(OI3Cuo;dc8dY_0bzP`wGBV$N
zz8@QkCCIDk$jTxCU|vI@oow>n#fTL#>;!wH1osaMLj<)&oumcjV#}nVfmbBe=zck(
z7(HUO+uWFp*I2lr-Af*yqD<PkdM+BoJI@Ixoo4@>=cZrGEH_ZZ;;;Md4Zj-=!Bbj^
z1P0KWKxk_}zh_2Dv=<ifNxj_{iCF$tHV|5Pr_C3)4=O^!wyQ=Ym$Xcg08~PC2lpu?
zf<cm$UgZ&A46^#HR5C+|(Bor7U1abEL^~vB%y$*4SHRC6OGsTURce>9Y&2T+^Sj)t
z)LyheJ`YK94#$T;?UMgs{Q;Gc-6!Hs&jIKqfON}CHYdO;8Ux@+$3#LA!3m#8@QiN{
zCQt>7sc&Cjy=U#{f&H2xF5n@+2Uw<c`@Dp)0=aIx_xcS4a}i(%0FL1cw<)&_)-&BX
zy#Jl0>(aPbYSwOZl7N#5Yo9YSPW%<~hH*2m=NZnK7WdPeH<&Obe0o<A=Rse=$R)O=
z)KFQ^ei;kXF-xbg19y4-Er!Bcvr)ZLt?uUtF)?Z4PUqv9?f%e)`g%vlh*p_gRPkVo
zC}sWWQkc1V>tM8r8E|~KFB=(T6IBGnkuumwHNJSbPZ>f%qNLT=OrJ9x^5TBy$;3nI
ziLeMxy4IcCBFS=3PqOwV&6*f4m(+wTUjHc%E0G)Ml`Z8$?>3t1JNo`!p@>o+Yr1%(
zE!+yV-6x#!QhD*(QX2wfB*Vc|x_<(AGZ(<@AszA@^!LnMxpF!B0htre?Kt4c_*9Bd
z+}Me4*`nLIbho+bSGo)q(%9Gt(1oUZfRt^A?;Dq&!zD^48(p>bGNfgjO-`e<Qu?$N
z_7|eus-&-Q>d<K%4m@CndOr6qBU7tEPnRwV98RBJiiG<PKrOf~5cHcG7Wg8WGA5)`
z{|q1<6yEAI4p^~dclJ1_skmJ?v)ohR1v5C5!8a{=uo(BAXH>Dw2@xmX1mED5xo!0K
z3!i1UxwrsgUK^wu45}FDBovw_8)jHly}CKt3C<i6STn>*vBC8F^&(RbMUy!cpX&)h
z2K2g#>xk?QlBi`g!E4m~$71Wm`a(Sdx=wTC7)g;vW+|P$*|6PC(&S2wbpza-$X`Ym
zj`Yi=ZUPe(8aXJYdh=yaZOd(dpv9u(wf-S>z11`D<7(a>kT2G^I~SsV)lN%GdmKQK
zXFytkYc~P%GF_(doG{2@QJCBN`^AUmfNu;H71hnOIZ#IRn5nf#sKesC9vuvsj_I3K
zTEpe4a08i~m^^T{-r?Y2B)M6rNK!vwcC{mN3w1e4ha=ulz|HJ&Q`F{U#Bl!(**PA~
zb>sJ9(9n|%j+6;4B~SdELgmE>;rbAxlbC#SGf6CAw$sO+O81TK0SsWhQ>(`jeeL|{
zy>ok0?9ny7rw<2LB5PVQn<<j)gS$#Fj8e<yVSIeTPT`faG*WjW7$P!X)^X1&+gGG{
z(O~nD^7QoF_Kx}@nar)&)#D2iA}V4@PO|$Ok_3JC%U0S>c}CIh4y+02nD3jPp4DbS
zcp~{T_|x;<t!9@e>xauG!mzWGdE=3yg2H!*6Z_vJsGym5JAhF8t6n#)()x0P8C8tb
zU7H1p2XY7i8ygFci!^zM%Hnh?aNHMdPqh3H9+=Sc%FP$1n2k3wD&>913guf*>ButX
zl2DnmKaL+(XVYe1Ux3uJ;mm9)BFRdsyG$M)u6w>*+8;9;p+B3il()C{tH_T3i0I3g
z^09%|N1Zo}-zi%@3U>!BpVBznT^&-lKj`@GZm2TjTjCH%?2lEP!`~ESNPMBD+)s0U
zQQ?EX;l}ZkKF?Z0lW3%r(TW%!L4BjyQh8AE=LC_{3eKco)ws`qjQ%r6bf(kWiOU20
zMIRb#;DhG;^kD7SCOfCUW9*h;y5E<(JgM{^ARV4ykw<Vao=y_v;5ZC|z2SAq`~0--
zwrK-QU!`){N9h^bH{;{uhCiqg_yK!EeC!NT4?E8gxu|&0OP1y)yRN379H$Ic7)2<r
zjXLyV9*Vb4aG{N02`OR%=juIfOISOu=mIg`TbI<I@^7M^WNZ|N0`Y6(B;qlY;aB)G
zT9$byn7yMtRK?4lm<1?wtkS_$e<ZK8gsmt1Bt&>iDWJJCH46n`M$**bn%1nsW2?zu
zThGP)^!)M<$mHIXwFvDk8_JPDOM|TIYYh(!v+P4ey0F>JmTydiT71o@F4IUwoC~8A
zU)d)`9ufWPYk}A>FkM8T`T(XnJ6EW`Ns4YrpPztiA>d(I^o+eCsA=+3<Z;Si_m^rj
zIZv8#RYwNKSefm7C4%{8H;tu%^K*ut|9K4mi}lvo@@4ogt&HG9T%1FKjBCR475U8N
zyY8l0R~S>SklPQzKz~seieoS7doXm7R?~?LV(qHxTw9;!^9E-yG`$*3b_%(+K!!nI
z@PHH-vQQaeq&d(I-e?NkOxaK<@K8tiQ?{Ch$AP^)W5ELPXvjfDWUj;g1Z54;lV$d7
zv#Mzy!El;$?gsl2Az?D7YK}s**z~_Up1vP3Wo7o?>WwLoT(XJ_1vgZ>j*B~N^sJ9b
zYK?7IoAZ+lRXF=)mv&4pM@5yc5E~avj}?x-I&0)(0u{Q+)P<8dyh=fC38Sr)^yY?w
ztaxM{aoO2A01LJvqXZNlkExMiF;4I5^jI$zpG!)}@Fp9kbcsSL@VE(0aEQ?D=xZ0>
zYzoBkhyW`pdZ}3yJM<h{tz6JWdpHByITq+ovunzw2nLm#sz!rBaGXEeshftoMsWMr
zUl2=^g#qj3n+gUM!QT>8AmwYmLED}AoLdTQtP8wLg0%e}>T~r(K63#9r)s>5{-Co~
z^Cw}BIn4H-54R43CBi0}#TCTNovM^f_Ab^pQJ=Dlen9Mlm1h-6c=xWYt^G}e>x_4Q
z_DMDQ>eYF;E2Pqp*-NrywD@4Ej11hu5DlteB3eXV_!Zdd3U;Nj6nY5e&JOMR^j(y5
zz8tG)HYCom1Y(BRO*{6e>sM(6MR;9!)|Yu)0@nBGZsC;{^Yfdgnhk~IQ+T@BUM11W
zrV6dUaWiOPQ1-+G^kk}C8(k(TtnO`_l}AZO>bG+uAvZ4`A&*c)N3{jprUqE(8*v{4
z#1$TyuUigx>TAExtDCK-2|LYwdi@}iXj{UXQs{Ly>Z*+ltY;}7y@7nIW6#wE>I;XH
z==92wlX<vF7V$Y^$mbxgaC=~k-AI5e->w>mF$tPcC>*u!ThQOp&@5wK$N<Hr$g)h0
z(fRu7xjmduvUip<!E5zWXY>N^4>ov=UV!Zmp}h_}&nNxQ#rK0VF)0ZN1pp<3fR86T
zkpWP&0)qwElw)vn(AF;)*4DWQcl3eza1V{LSWUW|a}BPPzoB72ga3MpX<lH>*HbXP
zOdz|(Pu@qwMjPMOM-+ouhZ7ZYCp#5LNl!G+Fr;@yA^&Lr{~htjT2lwM^{~dfY{D>w
zD5S07kXn9*e?ZS19nX$V0GmSgPWBULbV55vl252}Me=#Gk%e6;)KF|PXWlxj4woAg
z9F(f^1^^%j8qft&CVQ>W*>MJ6{S(-D<L71WH<WnjmYaRhWQw??yRU}%Myg6_*kHw`
znT5L<VPRY2<Dvkvb8776o~Y-Xw55ntC{z*NjoCmf|K@gBQ2KIV6!pcJG7Bs%wIHe=
zWeipa-{3fI=G%LNs7FHR9|GhG-fzN8bc0#jJ22VIL<GzDn}qbQs~g^IK3UU-NU7Ln
zmv8C0e49~_(S6rbZ{9H<`hPWam>-aN3KdTEN|Y-@e@-%K%`@Vyl)j#qzB*Hs`eMSo
z2965u%)?00HRoLMA#iedFX#29m6a_L9C-Qe{(=J}T%1VlU0Vk%OXUj1WNLZoH@f>y
zavJeY4QYlSk7Kd&(m8Al-g!U0p_t+u<PwrHstwc0@iNxhOx}17O~z5$KXC`%l1trE
zB5#4T2R>Q;Bw&?7i62-qE>P)2F^9xLcO3Gi+h(m?fZUaLUW5CmJrqLPzj^8c+$dI)
zdRbx{s7E3su{tWPgX)VXoIYdpfC9IyY&zB{04WDb)%tW&oZm5iC{$)MhDvPH28Zpg
z*Zn%y?|le>4USGvPj{6m)0j-wPzAv#wewKa=@(tb7MEQb>2O-yop0P}_Za=7#R^ut
z+JtDoEn{rX|8Ut=i|(({YXjVG$%wo+ut$c;HJ)7iJi2jj9B)e|f(sNp{LO{E1%E+8
z!ztEodiCq=r47Hd;lKhxFSHOJ4sUmH0Iu>!My=idMnrF~Wbb*!&k*-Qrd&{=d%wlp
zfa)F@mj{s<vI)gMQc<d+uAc(Yy_xuSp<+G_*q_Hv3sq^hk^AU!nGBa{?dfj#olY)H
ze8VuM9Z$=xa~_##N!&y~q1&Akr@dzl3JG1|p;mQ|iN)7rZY&Ax0lin@xOZ^GIZI)r
z-@U}~dq6m`OA(YoVll4-SA)yOY<F1y1>wyOm_l|^!@ezbdRVkMk|17nT1G26#)CW$
zz7A%(Yx@yoB=;jRok!}giBlI+qyRjj<sGNDSMWTOzLJF_o+N{^r-0pgywP(514c3r
zlf&W(nk0m1=0ziEMDO0|Foib<>54x^8S)jcJSi?wT(1Kd7LSSs(Xp7Z*_LI?%?G&{
z@13glksnom6;ez{d|b_ry4aRV1IM?41~Y#Q3cvoOR~+Zm4K}SI63h7fWNkyvE&hA4
zQk`DY+j+B_2vKoX8M_@tQ-Jz>8IF~Mn(__dPEmc?b2ly^K$>i2J=D9*DX-zGH6XgL
z6jh{H!7?5<SBwy<ZP%ViOrS7c4v%}#Px)^;JROn%9Z;PEf>T@1=T25DK84l8>3lqB
zvr|$_L<;|HK16ZsayzK7fL{SqDsGk99s@bNt4X=GER#WhCcLwY^M^6ys8lO%Z>L&*
zy+(lG*>MV=6Tg}~KKJO&Hj+T6D{Uq9mAXYt8WbW)ut0_n%$QRmM~m%zoA{f64Zkwz
z&0vkx(V;R*1RJuIHa1S1Uk8*_7STLn#}^wk_RikdBNQF^wJ%XpD8Y7ele(3;x(acj
z8<%czRCBiuEXGG4?atxlI$lNZ8$&;TcE9@QGyFyKNTEAA#w5|_T24X`(7Xv@e>*y}
zR;8yC;GclSMy18KS!ukUYY|w7$<sxyU)JgJv=$l2J6-f!<d`?;Pf+yv2#J|0pe(EN
zeoD1n=hCauE_-Jt#rpg%^%|(xjKcY!I3+)JRR6DbRpgP-VQ-jEbmx5Q^(lqqj)|E$
zNfv(Td0Cj*?F|4W`|7k@fIjC%McoZXVi=ndG<#G$J@vF$q6O{Edw(m=pR4dGb+t)|
zeJV5@M0_*DM4rj*LH<C5MiW%MQ^fl3Az{|n|Dg`Mve#PqhTbuen_I)w%%=d{4lbs1
zu32UdAB0qX<Xut-7e~?I{=U11Y@#gJ+y=a{aS?jyAgc>OjaJi1Z%%kRaT%+R3V7yU
z-`hTj5b4xO5BGsF9DMD6$_6J5TY_O`74a%aV_6!fPV>{r0HXD=PtJJ&*e#i)QXPvk
z+3OrAM@uYPasI87V~nZUWoUESIWw)!iuAb?P$4*1!MfDzzw;B|7<PFa&(I@0)$8{7
zt_#JI^YCcD(2c3n)~-}gm;X$9p!_i1$?P=>fV+o-zkqLASsdj{@X0+iDu=X`B}nf5
zw{iFzEY{fZ^6YG3lqk=`9$V2o0Of$f=}ZKg_XUK-CYh!csx$$2nZ!cUiql{_={T?i
zT6d6KoD<w03FMEc)7lh{PB!pVGIF}c_rgw2@+!4*XzYHOE6kl;W`HU5VSi_dRPYS2
zFprr1Q5|qs9!%bc<!+i50;L6d?Nq=plJ8l1QYxR_oqJnX@V_rh@HrST1Q{7!5&xPr
z`jtJC?YvNkh~@au>KjX9r$K+HX^Pt+dvEWX*Zm0!KHnYSuE;f|++`}>_O^e(cG$A{
z<<{rvrq<RrCxhEhdKc58J(%m|f+_Xf_hqT>4dFI`+Dr|xzFvj*N8Y=j5RDIPt7Xwo
zrQirFksv#m9f(TxYT$|tL>2yOH)MhaKYwdhm~$wHj)z^?5`qXVaydm$f1#-~ZqJ*;
zSYoEXjGCNPINnjP-83;CPwA<%P)_K4l3_%Tz~)>K5e>FV80A?GE9=X%Qd<y~4H~5i
z0g}gn^jvwhCsnUj=&eB`tjE(I#7qFAqw(qwMXtBwAOy|DVUh+?(qD}uih;xT-YeAh
zm3i!?a0XWmXG4_=)E+?i6S=EWZK*io5&0^VeW+huyE&@%Zwz>B6DUE5HW_2`x|7I{
zqY^5=rBRiFfs-xjeOSqD1?2bW>N?G5+Fx{F1VM=@QK|02%}i$mo<a?Zf#{_T<Ko8Z
zYUZS}&Bv9&c8J7?4h~$bJ)6cfF1OppVi3RD7n6TG<Z%Cd6Z-&VYUQ;2Cno9qIAlDH
znykYBFq+9M&KjPWKw-Vehd(E1c^@psQg)W#KGxQJ)Hc1|p7(c$5EN!1ZGf`5a6B8|
zwP+mmwe=CvXC1D`XF$8;W;~jCQ=f#*YH4g{#t$1QTB-;v)*&DuxM;BJy^j;r!c8}x
zc>0;a{b8cr$KCOj&&D*74HOg*KhPL}K^~9>n#-goz<<t=O(T5#Y|Mk8e?<6OiQrYg
zpg<O2VCJqkXlnx&50sSCHO!hld<{y)Skvx_G&PEK;}7(mh$)E;rNgy8I|Gc}-GE)0
zC%}a7e!Yi60Su|Zeoqy)wx;@Z;NqjpG0wzo#p&>06nyR+r8NS=5|6dt|0#Vh7TMh!
z0sZ>bkVc3+0tO?mCA<BZn08dM(MqJS@G$?jxAEgHo4cp!!5AKIh1J*Fdm_V5xrZ=2
zBvF}5b;#IwoYU>%(C;?q?qdC0dNd9G7!X&M|E8TWfe-u7m;xY6W9y6xx1ZpY#7I~z
zMd<8b{=n@BJqCYHqSx+z-Jn4RDw;g*j^0Vc{}6Dy3REGzr3#*(NKKWyS2fi`kkHe|
zetby-<|JUnhDwNMBCAkRs}*g24IbXC@k4a8dr-VBv%)AKFp!E^s(WjHEcIy&u&4aH
z6Qc}DR7L<p0;*+N)T~4zdBaG{baY@N5(3??cSPSq82;5EqdL)kYsTI$BnI1H!)%``
zpC#e-DW1pvo$v|SCg0V?a&FdKQU9OM0#S0B;bMcETfcprKK&mfCO{2}0RtxNzk;c#
zP_!a*sY#l)AA7?I++*xPz52wj4+3P1pb+p?YSkH$k<!499-XdUSIPbUWFGLE<%bdx
z7iUIdinx<@2RF*J&HS=WIWf`_{P)0AAfogHST20LUHYlW0<t+V>YCLb27!)1MmL1j
zZsYX<Fb(T)t8Hkw1t>#lkXWK%H((R2=3ly$yXj!TQMLp9dwP0GOG^hM%_g(TfnwVj
zykMoy^73+*lQ{tXgo-9HroxC)NWX~=9vFVryLCN8pe`mp0#l__4E;O*aZ@-H;KeJG
z^YiD1$0?E$(ka6blj`97b8Z900ODLA@Vq-A82t;~=^Ho#zRb<*Xv?f^5;l+9Mb@Jp
zHnDKm2)Qn*dNANudv3gjQ^qC6_Bp;e8Iauo_oo2rGQfni5)IV<CP?XoWCZFicl&f$
z5EO_-_~G+;1FOm#NT3L$VjD@xH$EZK-{0R^2D(OxHTty$HbgeAfa-t{JdR$1R>HH?
zTOJdZQ!a}`unD^eN#eHI^Us+iTYC79Fh-A?J;3!@i7sk>6B!J!;dlb7$5B6|Is1V6
z0IkR4Gr(Ou7WynBWLQ7;$0N!%5O6XZPgAVX=JZ_4`}hkv0x+FBwdk}OSHHyx!udmk
zgVQU-B-<PSGgWkvVNSpyK3>4q))sh_`$Bs_UWJzL!Q9^|NE8-XAN2zhaCo4)73c2+
zV$nOb!y|<~h}ULyu~$&~z)EJ&NEI^*Ic$7fW<N@-9@N_`4O03mQp(@PBt<wgJDbdm
zEt!;c3H#5CECgOCBEb1OH35$$FYtf8_I<|x;^M-QxJZt=o9^HB09I5&a5xIZ^Yime
z(GK7qbG`oWQe;@40rS643?l7a#LWuVAaDu*tKGjZ0=<e11^~0Bn)OjK{#tkZpVpiJ
zLLFFSC=q!hL7le8-T%*-fG&lU_lv`%1-EG$aGUzC2P8qpsYH||kwS!5T>Y;X6}aNQ
zfb7#sfMl`=0&twbf8_7bg+<>(sHe@r3Iwnl1p3j<_dqsL{v9UJzyo{#`<DN%7q~Q7
z@PCd&Ap+j}`*p^|#{YFVnIPc3f7b+Yz5mlcnScZS`_=wC8DLcVe{cT(`N=Lwq=Nu{
z=*P_%J>XHv=X4<R+<U_Jmu|*twScKV5QYQ=1x1z!30Q^b3cb%r4JYRS=0!le8hmFu
z#y*yk?h8nXqcI_-^{mqC>6QY5KjN{zyV2}`JMSeBEM7ZYsxtx)^dEKv3dl!BMu7Yc
zUAhP+I=Y%r*pDFX<BrR2ucPUFL%($AXy;-w13~HGWMGWqg@%S6pPbj%s5cHD<fD+!
zDO!wNu2=(o{&W8A-va^HbfEHF?~FdNCcdVTl-3-oO^LkE?_C=%<YB{WYG)8A)aKye
zP|$V;3^&G7=#*<BfN=(}QHXeZpy%Ld4MH@4YMTKJo=r_m&|b!htcqyppkTCwYLXmP
zWr98kH#`or0n-7UZg0(Fqy!TgDJg6Q{ZEW03JP(rEj_O{kw6{D@oXu8s(!c~#7L4k
z2a-u|Ufr#Qz)b<j-gF>>KCiA9uSxYQRZ?AiQ9@m6@mnWGBk(S;SRT2i11QNPsT;mO
zMI?Hs02A#%*1i4xbXPzN^l*&EtBTyX3PIql|9lB}vyAA`s@G&WIf&0!sAfxp15beO
zdH@BOB<TO7N&+X=LPiHpOVt(#kapgm4s(GtNI#GiE!)};;-riMW-1#82x#{i40GUk
z&lt6KXA5fL<Q_+Wy@3O8-Tt=4U;MB)U{oLv!=lavf2NOWbUKDdR$Cnk-+6X`;pYPQ
z1bCn#Y}i#KeK(=u>F+`aw8)Z@l3znZeh=$zcb;-`@Lh7(Gu)Ilr%QDttk@wzLDP|e
z;BZR#p;^+NV+fx(!v@_s2QlA(@jf>*^IH^sBJs)HT$|Zc4q#%9-ecN9qh52i)|OcC
zd?(DPJ5Z@!J43Jw*iFXZa^3*PU@VRm6%h`$4BIQNjTOLlr)|gbzb^r@sAij0czhlS
zer6<eEZ^tjQY>aunH(O?v(!@Xdf-XVoIX80i4`iI)f0!1e9dAo=*zV0ZgV}?YC57(
z)j-q(>a6a8XA~V4mPdlxL%&no^Deb`w7o5uD#?$!%NF?Y((_TNQMcnX#Va1mH}E`o
zJaYt90t`xx-nE@KQb41Mbdcxe?c}?kQ%+K?P%H$WuSWx}6*~;D`*Q_;U!buAgX&-_
zI}0;&gU9W`db>+uB;Zzd?)QF6K;9P$<M(!tL1uTX=Xq5G!BU^oXgYYw6uy4!aMl+L
zv-df%U*uTHu`qH!KnV_?m-Kf}V-hM4y<94r^%8@jAY+uEHYPs4uJ#A@F;dFt=HKa|
z4~CwyvNsa${blnb;W~f5$Q&;I3vVg<B26(2=`P92DnOJ?crzgOE)%3_1Z?MlZs+rS
zcYS?LwXvu%9`?7|1C3fG?=j&~@7X`Y55J8vQRfj@3IT{i&8Tn%c&TdzD?!OtB`G7I
zEky#mToEm;6@X)<=Xp#9U5WmJ?q!)rnvhqjNZuz7nM7Bq-Bw>N8@58`;tI#x4pdY~
zj}QqtUPrbF5c>F2CGH;|FXszGj5;wRy|3n_9RiGnvaua3r?^`)&%BLB3zYIH7R$M?
zfO}L`FOk}$J?L_xksT%-ZEcBE)$VVR=ybYX=S|{nf>e#tQ<Lbak{-Q4u{oL%aS?SO
zu%Kt+=KkjEPYw|ueiaWc3R9_CDRvJ%_=tTxl~OPF{{AixhzE8CBY`-<CwN?rs}bN3
z+nB$sHJF*QVZ+zQ>)0a`rEY)g&_R<K8Wk#|l~Ua<&!lMgBK1Tqe*WhplE|^5dtUEH
zdq#4hiUQKuY3Jz11!w<3FJnO{A|WP@J4}j_X(^DhELmZYjPR@cPf!F3QH>h9*kH5m
zAY_8NO^=*1bBY4_Ub9gFcXxMOE+?p$Xhnyahq->;?g&{KOeRvrQpsg0MSDvcmKeY@
z!~9q(C@d^LjEbP93X-L{0{{YO(&$Aen9qqMmvL*5)B~k51`hjPmQclV+*(ov(K~a3
zf?Wd6ipJuU3G)0rTC7K|{sBRa0V+!}n;O*V`C)Q(oib8GaVMD7Bo<;ydvV4M5vKt&
zoj|l?VHzx<nFGv!WK*BmyHy}~g{2|2BJE_MdKKuLJJ@-7V?})U?Ck8&(}{!>!G@GL
zTC}xEjyH1wVt&?p{EB(2z)(**tPU$cCMTQ0l26{ZqjM_4Ng4sFtUb5Bp50voELG@J
zQYFhhpA(C8M=E|6?o%v-WkgPw$l{Fd&-MTh*RxTsn>0iW>+ck)|Id^OEb{(NlR$vW
z8|Lqj1f(i}|A2+!-<kFA%l~{7*pU4H_vW?T?#E{zs)9^0f?&c=z@Mb3oJft3e!%|$
DrpiJt

literal 0
HcmV?d00001

diff --git a/create_datasets.py.ipynb b/create_datasets.py.ipynb
index 27d1661..919734f 100644
--- a/create_datasets.py.ipynb
+++ b/create_datasets.py.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1293,7 +1293,166 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQkAAAEBCAYAAABrO1AJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJztnXuQXcV54H/zYEbWwyuDxCJCkDFxOps4snkYZ5dIsDH2llNlyw7eUES2IRSxjOyKca1rqxI5ZbZSTq3xJuCHaqEsggjICmBXUJSUF9uwINmOEY8kqtimF+NYBAxGg6J4ZmSNNI/9Y+ZKd849z36c033P96uaYnTm3HP7Xrq//l79fQNzc3MIgiBkMdj0AARBCBsREoIg5CJCQhCEXERICIKQiwgJQRByESEhCEIuIiQEQchFhIQgCLkM27xYKfU+4A8W/vlVrfXH7YckCEJIDJhmXCqllgLPA78IHAG+BWzVWn/D3fAEQWgaG3NjaOH1y4DTFn5+5mJQgiCEg7G5obUeV0r9EfA088LhEeDb3fcopVYCKxMvHQFeBzwDzJi+vyAIRgwBa4DHtdZTZV5gLCSUUuuA64C1wL8B9wAfBz7TdduNwCdN30MQBG+sB75Z5kYbx+V/AR7SWr8MoJTaAWxhsZC4FdiReN1a4JGdO3dy1llnWby9IAhVeemll9i0aRPAi2VfYyMk/hG4WSm1DDgKvBN4vPsGrfUR5p2aJ1FKAXDWWWdxzjnnWLy9IAgWlDb1jR2XWuuvAbuAJ4EDzDsu/6fp8wRBCBOrPAmt9aeBTzsaiyAIASIZl4Ig5CJCQhCEXKzMDUFwyb6D+9l1YDevHD3MGUtP5+p1G1m/9pKmh9V6REgIQbDv4H5uf3wnx2eOAzB29DC3P74TQARFw4iQEIJg14HdJwVEh+Mzx9l1YPdJISGaRjOIkBCC4JWjh3Ovi6bRHCIkAqctu+cZS09nLEVQnLH0dKCcptFNW763OpDoRsB0ds+xo4eZ49Tuue/g/qaH5pyr121kZGhk0bWRoRGuXrcRyNY0xo4e7vk+2vS91YFoEp5wsZNV3T3rHp9LOu+dNaYsTQPoMTt8fm9tRISEB1zZz0V2etPjc836tZdkvv/V6zYuGnM3SQHg63trK2JueCBvJ6tCxx4ve70srsZXJ+vXXsLmN2/K/Hu3APD1vbUVERIecLWTFdnppsS6065fewmrSggAX99bWxEh4QFXO1ln91y19HQGgFVLT2fzmzdZmwQx77RlBICv762tiE/CA2n2s+lOlmenm+JyfHVT5ODsvq/fnLtNIULCA0UT2dfkK/vcsgstVHwIziShOnebQISEJ7ImcpXJV0WYVJ3UdSy0unEpfCWMegrxSdRM1uTb9thdi5J9qiYExRixcInrBKpYnbs+EE2iZrIm2ezc7KKdP2vR73jqvtTdsu2T2vXOX5Qm3iZs2/y9E7iJ+QY9D2qtP+piUCHgy2+QlznYPamzFvf48UnGj08Ci02Ktk9q10IyZueua4zNDaXU64DbgI3ArwIXKqXe4WpgTeIz9z8thNdNZ1KXXdwdwdL23ADXYV0Jo57CRpN4D3Cv1vp5AKXUVcAxJ6NqGJ9Oq87rtz12F7Nzsz1/70zqvDTkJK8cPRx9xMIWHzt/GeduG8KkNkLiF4DjSqkHgbOAPcAfdd+Q0eYv+GYbvu37ziTKm9Rpi/7YiSkmTkz2PK8jWFxGLGKb/E0IybaESW2ExDCwAbgcmAB2A9ewuGNXlG3+6rDvy0zq5KJPTkpI3y1tF3isk7/usG5bwqQ2QuIl4Bta60MASqkHgEtYLCTS2vydA+yzeF/v1OW0qjqpywgWFwu8LZPflrZElGyExN8Ady2YFOPAO4AHum/Ia/MXMiHb90WCxcUCb8vkt6UtESVjIaG1fkwpdTPznYlPA74O3OlqYE0Ta0aiiwXelslvS1vCpLZt/v4c+HNHYxEc4GKBt2Xy21JF44zNEdyNZFz2GS4WeMjmVmiUDZPG6AjuIEIiQvJ2JVcLPERzK9bdOHZHsAiJyCizK4W4wG2JeTeO3REsQsIRde1yLnalGHfkmHfj2B3BclTcAXX2ebDdlWLtSRHzbhz7uRoREg6os5aD7UGmWOtOxFyXM/bDYmJuOKDOXc42ehHrjpz3uWMwn2L2E4mQcECdNqdt9CJW+zjrcwPROjRjQYSEA+pOPrLZlUJMlKpSwDd5fcuerdE6NGNBhIQDYko+KjPWlx/dy3N372Rq7BVGV53Bue/fxJmXbaj0PmWfYRvaLDKfYjBFQkeEhCNisjnzxvryo3t5dtttzE5NATB1aIxnt90GUFpQVHmGbWgzz3yKObciJERICIt47u6dJxd3h9mpKZ67e2dpIVHlGbaO1DzzqYwAqlPTiFWrkRCosIipsVcqXbd9hm1oMy+8WMYUqStnJNb8FBBNQkgwuuoMpg6NpV738QxXB9LSduSiSE6dWZwxZ4yKJiEs4tz3b2JwdHTRtcHRUc59/yYvz/CZaFSU6Vhnzkis+SkgmoSQoOMzsIluVH2GL6dvUSSnzpyRWPNTQISEkMKZl22oHPL08QwX5AmgOnNGQsxPKYsIiRbjIh8iZurMb4kplyaJCImW4iIfoh+oM78lKSg6h+pCFxROHJdKqc8opXa4eJZQD3m5DIIfYg2DWmsSSqm3AtcCf2s9moCxSYQJMYnGRT6EUI1Yw6C2XcVPBz4F/AnwxpS/R9nmL4lNem+oqcEu8iGEasQaBrU1N24HtgL/mvH3G4F/TvwE3b0rDZtCLaEWeXGRDyFUI9bCOcZCQil1PfAvWuuHcm67FTgv8bPe9D2bwmYHCHX3OPOyDZz/4Q8xunoVDAwwunoV53/4Q6Wcli8/upcnrt/Mt979Xp64fjMvP7q3hhHHT1pyF8DU9FTQfgkbc+MqYI1S6h+A04HlSqlbtNYf69wQa5u/JDaJMDEn0aQhURFzOublnU/et6g7/PjxySBM0Cxs2vy9rfO7Uupa4PJuAdFP2CTCXLjmDXzt2d6d9sI1b3A6xqqYLnYXp0RDo+NYHjt6mMGBQWbnZlnlycG8fu0l7Dqwe5GQgLAdmHJ2owQ25wueevGfKl2vC9MQaGZU5NBYlGZHd1gSYHZuFgi74nndOEmm0lrvAHa4eFaomCbdhDohTEOgWVERIEqzI82x3MHX7h6bCRqVJrHv4H627NnKVffewJY9W4N29nQI1aOdFeosCoGmRUU6xJiMVSSsfVU8j6kPRzRCItZstVAnhGkItBMVySK2ZKwiYe2r4nlMfTiiOLux7+B+tj1210l7sUPIzp4OoR7ssTkSfuZlG+Zf1wfJWGlO6Q6hVjyvm+CFREeDSAqIDk3b9mUIdULYHOc+9/2bFkVHIM5krG4hXkd0I0aCFxJ5jiVo3rZvKy6K04RCqEI8FIIXEnmaQgi2vW/K1Hxoqi5EKIVl2kbdBwaDExLJL2DZact6Ek8ABgcGg3b2uKBMwpNkQLaLJg4MBhXdSItgHJs5xtDA0KL7RoZG+PBbrolaQJQ5/1Am4UnqQrSLJg4MBqVJpH0B07MzrBhZxujwaFDRARvK7v5lEp6kLkTYuDYNmkjOC0pIZH3QieOT3PGe/1XzaPxR9vxDmZoPUhciXHyYBk1kawZlboSaneiasrt/mYQnqQsRLj5MgyaS84ISEqFmJ7qmbEp0mZoPNnUhBL/4MA2ayNYMytwINTvRNVUSkcqEGSUUWZ06wsa+TIO68zqCEhLQjsSW0BKR2tZ/o66wccwNeboJTki0hVB2/ybzLJoSTqaFc6pGKvpFMxYhERmuF1ZTlaaaFE4mYWPTSEVSM+6UO4hJaATluBTy6SysqUNjMDd3cmHZVIRqKs+iySQwk1oaLiIVsZY7ECERET4WlmnxmW5Mqmc3mQRmEjbOikiMHT1cuhBSqO0VirASEkqpTyqlvrvwc7OrQQnp+FhYtnkWptqNC+FkiknYOC8iUVYzCLWUYRE2fTeuAN4OXAC8CbhIKfUeVwMTevGxsGzzLEy1m7qSwLK0nDMv28DF22/n0ge+zMXbby/8vFk9M5LkaQaxJgvaOC5fBP6b1vo4gFLq+8C53Tf0S5u/EHj50b1MHzvWc93FwrKJtJhqN3WEgV06R9MiFWk5EJCtGeSFREPsF9vBpu/Gdzu/K6Vez3yznv+UuO1G4JOm7yHMk5zsHYZXrOC837vOaGG5ipLYnB1xFQbO+iyuIzfJSMWWPVsrJUtlhUSBIPvFdnDRVfxXmO8o/nGt9TOJP99Kb6n9c4iwH2iTpE12gKElo8YCwtUOa1PGzoWgyvssvp2jJslSacmCW/ZsDbrbuG1X8UuBrwA3aq3/Mvn3fmnz1zSuJ7vLHdbUbDAVVEnBMn3sWOZn8X1C1lWyVOgOTWMhoZT6eeAB4Cqt9cPuhiQkMZnsebu0a6FjYjaYCKo0wZLF1NgrvP5jv++9WG/eMYKyfobQm/XYaBIfB5YAf9alHdymtb7NelQ1EbKzqJuqKn3RLh1CDYqygqpb2DEwALPpVdOTjK46o9EzMlUyNEM/42HjuPwo8FGHY6mVJmoFmlJ1shft0iGUwy8jqHoctnNzpZ7d/VmaOiOTlziVnF+hn/Fo7dmNKv8T6yLPRKgy2Yt26RBOoZYRVFkO2yTDK1YwtGQ0qFOsVf0MSUHRybUIQVC0VkiE5ixyGXEos0s3fQq1jKAq4yMZGB42DgP7pKqfIWTNtrVCIjRnkcuIQwjmRBZVwp55Hcw7DL5qSXACAqr7GVxptj78bK094BVaqTyXEYemS9plpUJXPeeR18G8w8xEb0+WEKhaZs6FZuvrlGlrNYnQnEWuIw5NmRN5ZlNVbWmRSZKhUYRcFbxKlTUXmq0vP1vrhESoYc+6TQRfVaHyBIGJttQRdmmp6aGYUC5wEQb15WdrlZAI2TlUZ8TBZ1WoPEFge84D/H0/JkLTpaB1odn68rO1SkiEGPbspi4TwWfJujxBYKst+fp+TISmD0FrWwTaV1JWq4REaGHPpsjc7Q+N8a13v5fRVWew8uKLOPLEk5V3yTxBEEJ+RhomQrOuYrpV8OVna5WQCC3s2RS5ocWFqMNPvvrgyUtVdskiQdB0fkYaJr6SOovpVsFHS4pWhUBDC3s2RZnQYpIqtTSrVn1qGpOKX00V022CVgmJJlqkhUgyj6IssXcqz8rfMCml57KYbujmbqvMDWhHh7AydKv9T1y/uTCzEerPSXAZPSjjaKzyXiavidXcbZ2QEHpJczYmSe6SvrtvuY4eFDkaTXwlVV8T+pHwLERI9DllFnParpiMbqy8+CKeu3snz9zyOQZHR5ntKsrro/uW6zBtk30+OoSW5VuWvhYSoWZX1kWV3ThvV0w+Zzalarfr1oCuF7WPQjsm2lRZczekudu3QiIt3PS/9/8Fdz55H5MnJhv/4uvA1W5ctq6Dy13Z9aJ2nfbuM2s1tMzgvo1upIWbpmdnmDgxGVUfRhtc7cZl73fp2Fx58UWVrhdRdDK2aqtCn71MQwuV2lbL/h3gE8AIcIvWepuTUTmgTFgppJRsH1TdjbPU5zJ1HQCnh62OPPFkpetlyDKpTLQCnz6O0EKlNm3+fg74FPDrwBuBDyqlftnVwGwpG1by9cWbNNF1/d5pCztLxU6r9fDMn32Wb228kpljU4X5FK9e96tOoxt1OhpNtAKfvUxDawdoY25cATystT6stZ4Evgy8182w7Cnbu9HHF2/aRNf5eyfIKz6T53eYHh8vLEL70+9+z+nnq7OhsIlA8tnLNLTMYBtz42zm+4F2eBFYpLc32Qs0GW5aPrKMoyeOMTM3c/IeX1+8z1OWJu8N8wLi4u23Z77OeoeemXH6+Vw5GstEIEycpD4Pq4UWKrUREmn6Z7IpQqO9QJPhprrCSk3G5Ku8d09Pi5Il66u+twkuFmFZX4OpQPJ5WC2kzGAbIfECsL7r32uAHyfuCaoXaF1fvG34ziabsex7m/a0yGNo+TLrZ3RjuwjLanShHmEPBRsh8Q3gJqXUamASuBL4YPcNbe0FattE1yb+Xva9M30Qg4Olu2QlmRmf4LH3XWtV4t5luncVrSrEI+yhYNPB6wWl1Fbg/zIfAt2ute7fpIMK2OxMtv6Msu+daRrMzXHp7q+cWqwlQp/dTI+P84PPbeOHX7yDmYnJSp/dVRPhotBtyMVzQ8QqT0Jr/SXgS47G0leY7kwu/Bll3rtoAXWe8dj7rp2PblRgbnqamfEJoJom5KqJcOf9Qu4/UoWmU7T7Ni3bB75PPoKfMwZpZC2glRdfNJ9jsfAZqwqINMpqQiYCMk+wdKI5MfsaQkjRDkZINC0ti/CZq99N2d3PVmBlnfw89PAjiz6jK8poQkUCMu0zl+l7GpNQSBJC8eYghEQI0rKIunIfyvgUXAms5AJ64vrNpQ5ymVBGE8oTkFmfeWj5spOmTdX3i4EQUrSDEBK20tJEC6n6mjpzH4p2P18CK++zjK5ela1ZDA0xvHQp0xMTDC9fzvTRozBzKmmtrB8gT0CmCbDZqSmGR0bm61tE7nfIIoRqVkEICRtpaaKFmLwmJE+5K4GVVN8zd+XVqzKrVw2vWNET8rQxhbIEZNZnm56Y4PUf+/2o/Q55hFDNKgghkScti3Z8Ey3E5DUhecpdCKw09X1geBiGhlK1gKy8iqElo7UsyOHly1OdqMPLl0fvd8gjhBTtIIRElrS8cM0bCnd8Ey3E5DUhZeW5EFhpi35ueprhFSsYWjLa8xmfueVzqc9J7vC+HLxzpGeEZl1vGpeO+KZTtIMQElnSssyOb2Kzmdp5PtvM+a7UnCRPfX/LPTt6rpfVXnz5S2YmJitdb5IYHPFVCEJIQLq0/MJ37ky9t3vHN7HZQrDzOpjuvLYCq6rJUlZ78eXgDcknVEQIYUuXBF2+rkzxDZOGOyE16fFZBi2v8E3VeghF5d86mNaBKCrS47N+g2tCCFu6JBhNIo2yO76Jzda0ndfB185bpKGcedkGfvr9p/nJg1+fP9A1OMjq37jcSHvpNpeGly/PdH6ajrX7v1kmVh3ZsGUJIWzpkqCFRAieXd/4UqOLfAMvP7qXQw8/curE5+wshx5+hFf/h1+yqtkwPT7OwPAwgyuWlz7gVeVIt6salT4JyZx1QdBCAprb8X2nieedsnShRhdpKD7L7c9NTzO8ZAm/ds9dTsZqMoa6KoGl0fTm5nruBi8kmsC3d7qn4EsXncQl28ldpKH4Lrdf5Tm22lQI3bmSNLm5uZ67QTsum8J334OiOpQudr8iR5+rQrNZ9w8tX1a6WritU7LOormhkzV3dzx1n/EzRUik4Ns7XcfOVxSNcBUtSHsOwMzk0dLVwstGTqqMIdTIh2+y5uj48UnjRlRibqTg2zuddUaizhqRrjJIT0ZJvvrg4j8kSuAV+Qhs8j4WfZZDYzA4uCiM3K8p22lkzV2Y1zL+8IIbKj9ThEQKvr3TA6mFxrOvm1IUFnSVQVq2q5ZrH0Hy86XVw2gyypGkjpopV6/byOdLJCFWwVhIKKUuZb4a9mnAK8B1WuuDps8LCd/e6emJXi0i77oJLsOCRcKmiV6haZ+vR5uh2ShHN3Wlaq9fewl3PnkfEyd609VNNWEbTWIn8C6t9QGl1HXA5wBngeCmK1WV9U6bJPHUkWLsKixYRtiU6RXq2kdQttM5+I9ylJmrdaZq/+5Fv+1UEzZyXCqlRoFPaK0PLFw6AJxrNIIUOlJ37OjhoDuAm7bzq8PR5so5WiZtPNV5OTTE8IoVRo7IMlQNsfqi7Fw1cYbvO7ifLXu2ctW9N7Blz9bS89/1sQMjTUJrPQXcA6CUGgRuAh5I3mfa5i+WAzKm1Z1Pvm6hx4Wr3IhuXGkrZYRNE8foy3Y69x3lKDtXqzrDbc0Tl3kahUJCKfVfgVsSl5/WWl+hlBoB7lp4zp+kvNyozV8sB2Sq7tY9SVSzsycncSdV2tVCc1Ukp6ywqbvwS9bnW/0bl3PkiSdrE1Zl52pVZ3hIG2WhkNBa3w/cn7yulFoO/DXzTsuNWusTKS83avMXywGZqrt1keru+vzBwMhpsPC8tDJzZQipIlc3oRQBKjtXqzrDQ9oobRyX9wA/ADZrrVPLA5m2+YvlgEzVBZSnebg8f5CW9j17/HjOK7IJZTGmEULZuipztYoJENJGaSQklFIXMB/J+B7w9wsL/8da6990MaimD8iUpeoCytM8XGZhuj7wFMJiDBVfczWkjdLUcfn34DjzJ0Eo9R6KqLKA8jSPrBOhJp75EA88VSGk2hBl8DFXQ9oo+ybjsum8ijIUaR5pJ0Nnjk3x8qN7Ky2SmEq9JQmtNkSThLJR9oWQiKnwaJbm0bn2wy/esehcx/T4eOVFEqqzsQxZptIPv3hHsEIihg3Khr4QEk2Gi1xOkDMv28Bzd+/sOfxV1Z8QU6m3JFkm0cz4RGWNqg5i2qBM6Qsh0VS4yMcEceVPiKXUW5K8JKkQzmAkCSmfwRd9UU+iTFVtH/goTuO7gIrP6twuyDOJQnS8hpTP4Iu+EBJXr9vIyNDIomt1hIt8TBDf5zpCj3ycedmG+TMfKYToeG1qg6qTvhASTfXR8DFBbKs0FRFDqbfzfu+6aCpNNbVB1Ulf+CSgmXCRr4QXn8lLMUQ+Qs7yTBJSPoMv+kZINEGMEySWBRhLlme/hz9BhIQ1oSS8VCGWBegSH2HfNoQ/QYREJdqwa/QjvsK+bQh/Qp84LusglmpZQi++wr5tCH+CCInS+G7YI/jDV9i3DeFPECFRmrbsGv2Ir7BvG8KfIEKiNG3ZNfoRXwlqTeXn1I04LktSNSdCnJzh4DPsG2N0qyoiJCi3oKvkRLQlNBYTbQz7uqL1QqLKgi67a4QYGgv5eLgQNtZCYqHe5Xe01r2tpSOgKGphYjKE5uQM/Xi4EDZWQkIptRT4AjBSdG+oZC3cjkZhYjKEVOkY3BfGtaUftZp+9kHZRjf+lN7GPVGRtXAHBwaN8yJCC41l5gkcGuOJ6zcXtiV0iWlrxJDp90Q7YyGhlHoXsFRr/eWce1YqpV7b/UOJNn91krWgZ+dmU+8vYzKEFhrLyweoe5GGXvTGhH5PtDNu8we8Grii4OVGbf7qJCtqsevAbiuTIaTQWNrx8G5cmB5lTYjQi96YEJoPyjVGbf6UUtcDfwDs7XTkUkr9A7Beaz3edatRm7+6yVrQoTRHsSGtQXEaNou0imM05nL/WSw7bRkTJyZ7rvdLop1pc57twPbOv5VSc1rrN6XcZ9TmLwSarhXhwhGW1qA4C5tFWsUxGkPRmyrsO7ifYzPHeq4PDQxFt6Fk0fo8iTyaMhlcJWOlLd40bBdpFRMilqI3Zdl1YDfTszM915eetiQYc9MWJ0JCa+215V/bsE3GOukfyChNDzC6epWzRVrVhOin7Mcsv8PE8V7zI1ai1yT6MT5t4whL6yieZHT1Ki7efrvx+JL0gwlhOo9Cy4nxQdSnQPs1Pm1z4rTIxPCxeH1X+PaNzTwKLSfGB1FrEiGekXCBTRXuvCjF6OpV3uz/mE0Im3nUtIO7DqIWEiZqeQzmic3Ey/QPODYx+gnbPIeQcmJ8ELWQqGoPxnSE23Ti9YN/oG7a4FewIWqfRFV7sN/TZyF+/0ATtMGvYEPUmkRVtdx1+myopku3f2Dfwf3cdGA3r9y7K6gxhkQb/Ao2RC0koJpa7lKtjMF0iWGModDvfgUbojY3quJSrYzBdIlhjFXYd3A/W/Zs5ap7b2DLnq3Rh7pjIXpNogou1coYTv7FMMYkWSacaEXN0SohAe7Uyhg84jGMsZs8QdCvOTEx0CpzwyUxeMRjGGM3eYIgRK2oLeZP6zQJV8TgES87xlCiNHmCIDStqE3mjwgJC+ryiNss4qIxhjTZswTB8pFlHDvRex6lSa2oTeaPCInA8b2IfU72qsIt7czK8OAQR08cY2Zucc2GFSPLuPbC325sQYZo/vhCfBKB4zuM6Wuym5ysTCsgvGRoSY+AABgdHm10x25Tb1jRJALH947ly9Y31VCS5tFV996Qel/TO7bNSd3YEE0icHzvWL4iIK6EW6g7dmhtE3xirEkopdYwXwz3bOAosElr/SNH4xIW8L1jdSb1jqfuY3yh5NrI4GnWz3WloYS8Y7clldtGk7gb2KO1vmDh90+7GZLQTV071tTMiZO/T5yYtK7wdeGaN/RcM1ncbdqxQ8VIk1BKrQLeCLxt4dKdwEOuBiUsxveO5TrCse/gfh750Xd6rl/+2l8zep7t5w8lDyRWTM2N84HngFuUUv954fePJG9SSq0EViYuB9XmT3DvHE0TOgBPvfhPJ3+va+GGlAcSK6Zt/p4BLgA+qbW+caGj113A5Yn7gm/zJ7iPcBQJnToXbpuSnnxR6JPQWt+vtT6n+we4HhjXWv/Nwm1fAtK+8VuB8xI/690MXXCF6whHUUSiziPsbUp68oWR41Jr/SzwglLqHQuX3gk8mXLfEa31j7p/gOeNRyt4wbVzsEjo1LlwQw2hxoRNMtV7gNuVUp8Bfgpc42ZIQhO4dI4WHSyr87BWyCHUWDAWElprTa8PQhCAfKFT58KN4bRu6EhatlA7dS/ctiQ9+UKERB8QYx6ALNx4ECEROZIHIPhGhETkSB6APTFqYnUiQiJyJA/ADtHEihEhETmh1X5MI+SdWjSxYqSeROSEXhF7+xO7+Px37qxUoapORBMrRoRE5IR8lHrfwf187dm9PddD6iImGZnFiLnRB4QaTswTBKHs1JKRWYwICcEbeYIglJ1aMjKLESEheCPLqQoEtVOHqomFggiJllJHxCFNlQd4+/kbZFFGhAiJPqHKoq8rN0BU+f5AhEQfUHXR15kbIKp8/EgItA+oWulJcgOEKogm0QdUXfQ+sjRDzqoU7BBNog+omhDkOkvTpO+nEA8iJPqAqovedZZmnYVthfoRc6MPMIkiuHQoio+jv7HpBfpa4C+AVwNHgGu01gcdjUuoSJNRhBhOogrm2Jgbfwzs0lq/CfgK8Ck3QxJiI/STqIIdNubGEPNaBMAy4GfJGzLa/K0FeOmllyzeWgiJ84bO5sqffzt//fTX+defHeE1r1rJu37pbZw3dDZzeM6NAAAC1ElEQVTPPy9tVkKia90NlX3NwNzcnNGbKaXOB74NTAMjwH/UWv8gcc9NSJs/QQiR9Vrrb5a50bQX6NPAEuCDWuvdSqkrgb9SSq3TWndLnVuBHYnXjgCvY76f6EyZQTbEOcA+5tsSynZ4Cvle0onlexkC1gCPl32BkSahlFoNfF9rvarr2iHgl7XWhyo/MEAWHLP/DJy30J5QQL6XLPr5ezF1XI4Bx5RSvw6glLqU+QbCfSEgBEE4hZHjUms9p5T6LeDzSqlXAePAlU5HJghCENj0At0PvMXhWARBCBBJy87mCPA/Fv4rnEK+l3T69nsxDoEKgtAORJMQBCEXERKCIOQip0ALUEp9APg08JOFS3+rtd7a4JAaQyn1O8AnmE+Iu0Vrva3hIQWBUuph4N8DJxYubdZaP9bgkJwiPokClFKfB76ttd7V9FiaRCn1c8A3gYuAKeZT8q/WWn+v0YE1jFJqAHgBOFdrPd30eHwg5kYxbwY+oJT6R6XUPUqp1zQ9oIa4AnhYa31Yaz0JfBl4b8NjCgEFzAFfXZgjH2l6QK4RIVHMi8BNwJuAfwG+0OhomuNs5r+LDi8yf16h7bwGeAh4N/BW4ENKqbc1OyS3iE9igayDbFrrK7ruuRn4Ya0DC4eBlGuztY8iMLTWfwf83cI/J5VSdwC/CXy9uVG5RYTEAlrr+4H7u68ppf6dUupjWuuO8BjglHOqbbzA/AnHDmuAHzc0lmBYOL80qrV+aOFS380RMTfymQD+u1Kqk37+EeCvGhxPk3wDeKtSarVSainzZ3X+T8NjCoGVwGeUUkuUUiuAa+izOSLRjQKUUuuBzwKvAv4f8AGt9b81O6pmWAiB/iHzIdDtWuubGx5SECil/ph5J+4QsE1r/dmGh+QUERKCIOQi5oYgCLmIkBAEIRcREoIg5CJCQhCEXERICIKQiwgJQRByESEhCEIuIiQEQcjl/wNhXUcUZzQPugAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 288x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "x0 = 1\n",
+    "\n",
+    "y0 = 2\n",
+    "r0 =5\n",
+    "\n",
+    "np.random.seed(42)\n",
+    "\n",
+    "N = 100\n",
+    "\n",
+    "phis =  2 * np.random.random(N) * np.pi\n",
+    "rs = r0 + 3 * np.random.random(N)\n",
+    "\n",
+    "xs = rs * np.cos(phis)\n",
+    "ys = rs * np.sin(phis)\n",
+    "\n",
+    "\n",
+    "fig =  plt.figure(figsize=(4, 4))\n",
+    "plt.xlim([-8, 8])\n",
+    "plt.ylim([-8, 8]);\n",
+    "plt.scatter(xs, ys, color=\"g\")\n",
+    "\n",
+    "r0 = 3\n",
+    "\n",
+    "phis =  2 * np.random.random(N) * np.pi\n",
+    "rs = 5 * np.random.random(N)\n",
+    "\n",
+    "xs2 = rs * np.cos(phis)\n",
+    "ys2 = rs * np.sin(phis)\n",
+    "\n",
+    "plt.scatter(xs2, ys2, color=\"r\");\n",
+    "\n",
+    "\n",
+    "\n",
+    "# data = pd.DataFrame()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(dict(a = np.hstack((xs, xs2)), b = np.hstack((ys, ys2)), label = np.hstack((np.ones(N, int), np.zeros(N, int)))))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv(\"2d_points.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "a,b,label\r\n",
+      "-3.5917816146358463,3.6125988632537553,1\r\n",
+      "6.5805856229887265,-2.1055567198515193,1\r\n",
+      "-0.6709379386136889,-5.905073992793381,1\r\n",
+      "-5.311555272572639,-3.791081462136176,1\r\n",
+      "4.299831703773508,6.414946116559263,1\r\n",
+      "3.2010167451214593,4.774052598321933,1\r\n",
+      "5.820775108310813,2.2239136946409475,1\r\n",
+      "4.845673615204521,-5.415136108888261,1\r\n",
+      "-4.57686095669072,-3.374526063413908,1\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!head 2d_points.csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "%matplotlib inline\n",
+    "\n",
+    "np.random.seed(43)\n",
+    "N = 500\n",
+    "\n",
+    "x = np.random.random(N) - 0.5\n",
+    "y = np.random.random(N) - .5\n",
+    "\n",
+    "thresh = 0.2 * (np.random.random(N) - .5)\n",
+    "\n",
+    "x *= 4\n",
+    "y *= 4\n",
+    "\n",
+    "l = (x * y > thresh)\n",
+    "\n",
+    "colors = np.select([l == True, l == False], \"gr\")\n",
+    "\n",
+    "fig =  plt.figure(figsize=(4, 4))\n",
+    "plt.xlim([-2, 2])\n",
+    "plt.ylim([-2, 2]);\n",
+    "plt.scatter(x, y, color=colors, marker=\".\");\n",
+    "\n",
+    "df = pd.DataFrame(dict(x=x, y=y, label=l))\n",
+    "df.to_csv(\"xor.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/decision_boundaries.ipynb b/decision_boundaries.ipynb
index 42ad066..3fa4ab5 100644
--- a/decision_boundaries.ipynb
+++ b/decision_boundaries.ipynb
@@ -117,6 +117,98 @@
     "plot_decision_surface(xor)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(40000, 2)\n",
+      "196 out of 200 classified correctly\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.svm import LinearSVC, SVC\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "def plot_classifier_surface(clf, features, marker=\"x\", N=200):\n",
+    "    features = np.array(features)\n",
+    "    xmin, ymin = features.min(axis=0)\n",
+    "    xmax, ymax = features.max(axis=0)\n",
+    "    \n",
+    "    x = np.linspace(xmin, xmax, N)\n",
+    "    y = np.linspace(ymin, ymax, N) \n",
+    "    \n",
+    "    points = np.array(np.meshgrid(x, y)).T.reshape(-1, 2)\n",
+    "    print(points.shape)\n",
+    "    \n",
+    "    classes = np.array(clf.predict(points)).astype(float) \n",
+    "    levels = sorted(set(classes))\n",
+    "    levels = [0, .5, 1]\n",
+    "    # print(\"levels in contour plot:\", levels)\n",
+    "    \n",
+    "    plt.contour(points[:, 0].reshape(N, N), \n",
+    "                points[:, 1].reshape(N, N), \n",
+    "                classes.reshape(N, N), \n",
+    "                levels=levels, \n",
+    "                alpha=.5)\n",
+    "\n",
+    "\n",
+    "df = pd.read_csv(\"2d_points.csv\")\n",
+    "# df = pd.read_csv(\"xor.csv\")\n",
+    "\n",
+    "features = df.iloc[:, :-1]\n",
+    "labels = df.iloc[:, -1]\n",
+    "\n",
+    "plt.figure(figsize=(6, 6))\n",
+    "\n",
+    "colors = [\"rg\"[i] for i in labels]\n",
+    "plt.scatter(features.iloc[:, 0], features.iloc[:, 1], color=colors, marker='.')\n",
+    "\n",
+    "\n",
+    "# Pipeline(...) below creates a processing pipeline, which \n",
+    "# - first adds extra features x * y, x * x and y * y\n",
+    "# - then uses the specified classifier\n",
+    "#\n",
+    "# more about pipelines later...\n",
+    "\n",
+    "clf = Pipeline(steps=[(\"feature_engineering\", PolynomialFeatures(degree=2, include_bias=False)), \n",
+    "                      (\"classifier\", LinearSVC())])\n",
+    "\n",
+    "# clf = SVC(gamma=.1)\n",
+    "# clf = DecisionTreeClassifier(max_depth=7)\n",
+    "\n",
+    "clf.fit(features, labels)\n",
+    "\n",
+    "plot_classifier_surface(clf, features) \n",
+    "\n",
+    "predicted = clf.predict(features)\n",
+    "print(sum(predicted == labels), \"out of\", len(labels), \"classified correctly\")\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 44,
diff --git a/nonlin-pca.png b/nonlin-pca.png
new file mode 100644
index 0000000000000000000000000000000000000000..1edf5415de7357e28e082e8c3c8b06de6f23cb85
GIT binary patch
literal 28192
zcmdpe^Lt%Sw0F=ZX>8lJ+1R$N#&(0ocGB3koiw)X<U|b`TkkpFd+$H-{&1e1XYW0;
z^qDmavlF4DAc+8r3kwDYh9E5^rUC{AF$eq+z(4@+xCXZ50x#bjrL<ju&sRV{a1rWE
zPvA{xS7~{1=-F>ykw_SOS$wvDw@6*ZwOmD=&5d2H9qftKtnJLfm^m0!%^ew7nVFf1
zS-5!F*m&7F4VeoNfNzt7-d1(6aP=^DHV2azR+AGJp(j?eGAEWdcD3?waJF%wCziH1
zW$YMKnE?YM29p*OR`bld$X-jVYC{y4A9?;XEFnUThL%o+F2i4r#Pd@OWXQyywU~(C
z=(z+3QrNZlcs=_D{G(4X;0SmLp!yCJ1FR1%j|cSh+bllta`nXu5qR;0V21`?_`x$E
zftMVxDbNJ}KMnhyY4>`D1Li9T6gL2h=}+J}So*<^p&}TV5y9h0(0gRA{nlA3m=RD@
z0lKR#ZqjSD<k2KlludTV{`Wh#)!i;&Pj)TYwa{QylqG;3v}mfRIO#C2uLp4fnBYo4
z#rBy*W>w~xo^EdP6Rbsi)_=t^Eu9Jke0^dB>bZ_^?HG9|oSJNSaX=shBmXiwDM3OO
z;7A)v1X6YDl@4Tr9jy#G)VkMLJR%!qm>;g5uKHX-zR)f-Xzm|kX@FWe#5fbJ28m|6
zpQ?wGNU&Ewfp#?FsAaFEn6?PYRYt1xw%+<IstEcDu>%1#V`^dszDcOUt^La32Z67i
z`qy{xTzJs^eYwbWasP41*3ljp&|O35|L*oqkg<A2ov$0{JRVol=A^RRRI(hqcshXC
zN9;^jX|lz{{bwO<eE7Q}a&<o5BWrb!K^Vvz@6n~`UsP(yBpO_J#W6N-&G^HQFiWKX
z%l{ry`o-$X$JV&$UpgmQWHrNaWKm$)B6+fbW{nLT!l!||OuWb*>+@bJ>HCqY<}Eo_
zK|2+&N_a&Gk`CpaGK}t-5d}Yoku=E(bGvxo`m$bt`*>g{5NIcHenUnlRz3A^0wOZ-
ztaUO2?F~!F$nMmzj8`6SAn5mD?RnvgCoU4*@C^Ul7+O8UBK?4s>h>LEW2vtvs924<
z34s1{44g=g@#utt=nR)XSAy>s-<M$7ho?%~kC76Lsc0{FP4zl~U11QzLC;h!R>qlJ
z=BwcSOIyWwrx~L-gM4SzFYUiWUQA2A1J-0E0{B33!x9=ylJMY+<S^@KB_Qre4gPtD
zad~ya)`0Jx!OLzE7=?300wPf>aN*c<{y<72Mh;UWcuI$2NU%>`J%tfv;r=dmv517P
z@5g_1rE^VHvb!?42oU+ER%DrG3@+O5w(oIy-F_`kk|B2FY%6ymlEY}h0u8Cb{MW@*
zkXH_IVKN~U_S%Pbs$%>~mFxVF>Gte9G%O=FVI4YftylHA$iHbB7uzIn$Lg!6)O3pQ
zb5%?V-OFYsDys{7^^pSUGEY@M4nnyMo#dR)Mw0zW2rb@FhYIPJYwURU^T@NJNO@5-
zCHoGNBYpUH%$u~VF01ygp;ui|1*%R+3WY5DVETYZ9ye7X5BvX8m16_AtVUrc+l}-V
zJGJieRo;7(m@suh%)_6x^Kja&xj{$v*5=zX^Bd8CX0@<jk&H7?z8}PSYx5~Kx^u@E
z31+p+ud%(CE5!D&bsG)1nCnvhIsmy0f&&jFmJ7FUES>(ccfkpjpxfQvhWhYkc#Q=c
zopg*jzJwt>k`~Cn9i{6{8q20OMx}&9YsA&`=u_O%1nK&Q+wpUaU^=DNvJG7Y_<&X&
zez%~cCPs<>y;b`kQ|GESeQ~Ml9CZTm*6mDF0Xz0;BPJydcG6Jj=pYbvZ!DK^)_#BJ
zNX$WhS{s?b`ijW+w)wH~37tb_CZ!8p^Z`f-5H#>xLc{H{qOhZhRc_C`js-ECx2{wk
zPxV(xwslMtHhvt@l)ExWW~ZSH4f1a&6B_+D`8gjwe8z9NZ>U(2|7u^=n(#H<6!|!h
zHr?VPmh)tN!(lCKQ_ALs8O!Ne_@lY6Zb6F&qEu+EQkGX9McE66N8m|K-0B<LF{|RS
zcyGS)GA)v#G*EH>z5v}18a)=;Kk;lP1gEl?Q^NJTk~L)K5M=Kh99;7EId%2xs)IU=
zNwYT#Gk7FVSRi(y8>Mdw_$yr*iS0JQP#XqoYxZZ|t++zJ?1(?hy*ShyNM#~ak=yB@
z>yLvCK-z;m9GaB11Uf0x0b1<hcCV7?Ped(&&YBH%+nK)69qY0{T`7JPs8B|;o$BGx
zmTWyppz*Ow>7<E1=?}%-VP&e|o)Zf9oxd!d&06l4dxRrkYN%WMAf4U~ZFb46S9XY_
zjd8vGPiFK^D-{ZU7THKzF?mG=FJ&AO%|FGhb);2dc60#^Dc%QTCdn*^#+L-E97dk2
z7nzuFZ>S(*Lk~Q(en#lRu@92{)4Uaj>FWoxX&LKw4cr3=i55SMPbLTdLaY{=yKD_O
zN*Ay6wKWSg09rxjq%N63VcKWQ%<pshnk5szWz88p;n2p(?VveVNqZ>38aZg)5+MpR
zZ<c?942S;_kaQuQI}i&m1O`N+#N4gNU&gGd#RAd!Vf<O+K(z!z9n+o)l^1rIVB1C&
z^)WfzA)eJ}0A6JazlA6JAz}kS^FN~Z#r~T~LbPhPJi*YvFzuQSQPeSpi-m@losU|A
zXPG1N7}J^v!fCB2*P)t1lvRG~A)n%Rx1+3GCjpU>7nmUyiScddANq_8T)lR;p6Hl5
z!h1rAvAN)Mh0MZF>^rJN{lh3rCe~_G&NRCRT#}yyqDy+Ch%n$lQ*vr#aH>9$&`hS}
zteip*9Z+MLNeLI_yS$TFbn?flBd^_1rO-TxHVVTZDiik0o>i4TslGZ73>3P>6Z9eg
zrB=hWA97!oZ!*Uj7JpcyPongmxcR9mJ}AY~(wM?4)}chUX#KHC&LmMzzKB5uvp#fU
zFe9_%6?$`0{mW{j(=4nFZVem*Xtg?}Zg|UV(tYcatk`kdXbYWil!_rD=flJM&!Opb
z#LQ{2HdkqxmiS^>1o-otbn1@_eO7V0a$-JWXrLSj2hmCg0Q5PdM|PVItSNJx*n6Uk
zr_p5jTDFAq6w8%ltB*t6eMTq!5TSLmYzjZ<1cJO@z=ckd6=7(r#C2O9b`yxHP%GZ7
z*kZJ-hl_UWQPrHbqiOZ;A_Zl=Ch$czy^Rg?e-v&MUNW=i%9ODzPMDueApXnOE##QT
z=*QHMYDK)eos+Sxk{nET?T*Y?a2n@Kh)i)S<F9kDZ@`rXzo)%_RlulNv@!G|zQuws
z81{*hyH+S1xhsFYS6i`q#*@+79x22KP$FD8-LjB2&)*~Ip&UhY{Etyse^Tl**k6of
z{FPk$+q?p25TyFQSsWk34t?1zb*qlAep8&1W1vxB|FDQSXWsu}C?LKWe*WYIbp5k&
z3GoKlX}#8&O4ezCDL6~pT3fTe2~}^(VFH#lj8Bd~!c(>PQIVG(Y;GQ+x{9U??1;9x
z>BV;GfR6LKPz#I|2RCZusst)>v2k8Z<}2w<(83#!DTx%@7@C2oS9p>W)zdt>lZ31#
zcP;$6enD~Ic>u|ObhWs=5{^X5p9)e5gXjejYfbVdN&d<A!@jyz&-RRo%S}GO&tQ?;
zm>hh}HvTNIDRd_uo*hLz0a^5&z40%cJT-fYSR4Ge;{s)#Ft4MvLX6X5LQNexA1_}R
z)3mMPiL#UGMr_eZn6Gp6I43Yfh(JWXDD%TN2l_LJ&oQb~0pqhy12Wh1dDyh4)rr22
z=y<G1D7KL>L1|ab?4dfXc!F6-&=`~j<D!)NY*}_Sw*sl(lMe9^HO=@fD?jE|@I_fW
z$l+S1x*V3-SQMu@-4Rx_GXSJ~eIWF|)cYZhIK#@O1v?j89=S-Z?5qW_R56g9DussR
z+4gp&YuSxuC#JP36Gm|dv+OY!VgIXagrA5F@%}1^286_&=@Y*7X>%0Q{)2CA-Fe}^
zbaur2mlU1Si@ov+sSUIcRYq3%?igoG!e9B=159KYl5@={Yv5=9*(H=N@9;^-zv%~^
zMw4%vPDuI2>w<gFJMNS(wx$|kbE|UA@oG`b{fPogQ`fXgbkunO2FPEaRa2@IQCo%#
zZEJ}w3=Jl9`NedLQvF%58~N@QFPmrEIj|uWgKS)(l2#LwhJIGvNWX|SZ7~|V19JV@
z>@k5Q)Za=NrMbLCtULJ;$9ux=ViQkiTiP}`q~h*olU%#%#qABB1T*Nb(l{%|S^;=Y
zSuvNGq}^=6tsuK*qdSw(>wo91VvdYha*~T9-|%n2iiWjg9gny(_q4ibd<u0k@j-nt
z!@V9F!xJgBr?+o!{=GNYM+J)J6`G1ZNRJ@plY<Fa_Nr2>NQX&mV$CaFyrUXaQFwmm
zw{eU946r7($r>I@M<5>bz*Tdg=Hp-Z^#}zb4gZAiW?I;yGPIT<E0%dkXa{(1q}O~a
zsGEPgZyszyCL8p3f78ek+QGvc8rA<}8A*V2C+_Y`40KN?Mb;#%N5LdAgGDN@2&N&}
z`d(&ZbTekU4LJi+!M{sj`-e5pl<)|b!nc+XF2I_H-CmcD#`k+dQ^Y@B*g^4EaKfl)
z%8W=cl9+NLCnM~af}K2!ucxW^?xNTT;-iRao1U($2yuas(yerOhv)Q>nI1_5?gC%e
zuC4#u|CP<c#nAviIGUQH4!NTLhFZ8^#^ljYmtlF82`Qh=%<9LaSi64lf^HSv3_5xO
zQLKX~Et;hzb~CtpMK+Bcx=HqDM4)jgaL)Z<?K!wqC2Kx%@7?Quu0GM4Lcqoe-$e%$
zQ!9*yCiWr{B@sjE&0sXZbgoi)5Lb!NSXQHbcroY5hs5@WXS%HR0uPLaOyyIeyy)Z(
zP{GmdBz%H6Ks;{-=%>R3-6~UVb#zj~=t#G2t`;hP*~-)N!YUW|@FIvz#BH^M+jmhY
z22@m|$H6(jFVq!c(ndFf*YozkfF=mF^0DIlbrixbALR{GZ_ewzrJ{I+A_^<EmQeCg
z{cIc8s7T8<eyTFZLETU&sB+PE2YB~c%l|7<73%=n&>oYHQL9htBH+Y1_Ec<}vQtVV
z=I*Cb0IyN3r{hyfJDH8&&SWsw@(IgtuWWKfqpph1nO!B=5HkRxpeRvQ%{)1NM_Z>A
zos&~lc{WAT$~w8GAewC`@-_jN%f66-_ZiJUKCy#y!+47sZFV6Ic0v<`%MqS;$oB8V
z85eGi#5CWkH8+16s<4MHzsNL@$!$x#$_bd~pU+mMfhPo>d-?!va|Layd&Xk;AW>~*
zbT>~+Ht`B2$s6r2V?F<2&h3=5Hf?!IBWo6BM_}ycO8~UXlWJB-N{6{ad(rQ05%vD7
z$9rtTX}A~DOj-9quW>k8T~j-!z)_L4>(+a8vk@QAj=|NZtrdayi;?4P387e<Cx~rn
zX)enz<=@mHfm6<(wp{VtdAIah`OZz-E63DD)l&vYgxzeA4mOB+@lA0HtRvH%TJDTV
zOw<c*#DlD`gK1ZOaK!##t&JEhJvkNJR@#{<h)J=PHXmViDQK@>VK3;v5eGtb_njFQ
z?Qd>=F^QOJQA$CJyf;Mp0M@tln5xp)_Dz_>z?0^0dkF;EgqM?N=91=uF)=o;3X$;a
zBX}ULJ;YTBfkRIXTAWnuBF@OOzBOpadi_mb%wjf^JT%s75apiTb3-b`LrQU16)4^g
zTDq=(dt5;S15;XkBoi;D=^mvJ|J9+{^^YkiTt5*(bHuythpex`YklJnOrq)^Q*WC&
zoEwjIL`byNp3R#z`Ef#L(lUNS`Out%OfJls-4+z5U^7v+Y((HW5V??Gf`N;X$Z&Mt
z7Xz=BN;N~p7D0cI$79^sn|~i5tBIbJo-x42RIcw=aLcWTjq6?NVX-O^{W*Pt1=*Nq
zFa%{CHCTrZU1#v45s{Q*gVT5`w6Z79fhI(1o8B8%*w<tgXYXEdC92WPw6Vt3P{2G7
zybF9$18mo2^|4SSfwHkcrXWR!-yf>G$k{%+IJh9A?sER52V!cjtPJXatcNp%cu5;^
zs3An{D-Rta8=j$CvA`&xrn+>JD}W2+u!(-fUwW8NNjk;ok{5MEmFdGKqE~XtipypF
z`fUObwr(ioj&=5uWR+<#DB}1xI-K#s5#blJvLotpQx=Z|N+>`xz#S%-=n`k_p^TJ;
zNR6tT&&^7$y3Y%=>V<?WMTByj{4>^TD5NDCoSJglh?Y*BYK>h&>(XSOlnlrOMYvST
zN3SAWU8n}G_h)pb16O5i#nk5Pt%bcsDx<NLyh*n=Zm>Mgqp>26<QCGo=d;c(wdY#8
ziq=rVD!#ZN^fQ}L34L^~Ueuqc>YC7tKBlQfGITZ|l6^FG;ka!?lFI57(!2;#@%^hQ
zW$!d{>*4|p^38A$(YK`Ou)1hQiHhk-jAUywDhrlfE@~*OnG1LSHRQN<IOaX>3;Dzc
zvKGdwdr0r}{#s@8U;1)v-FdeLbDnbA@*?B$2mN36Js5aH!(nGM9_#_7phbeEyn(U4
z?K;sjfxur0eI!G>pW2brFd}KF)^KF*Rs_A3Qz3W~etvTA=50aYAZ+GK4`PXtUmdl&
z0@b$xu$&mFub5yy_2EseMb;x|WxU+>!h1%;A^QcK_J9qfw3WH4MEDc<!q<*O84^DJ
z`{cGPQwjI;XQr;ESD=BTyEWY7Da;A9KygS<LVvuLiaH9OYl>QvmyB+-cjPR6aN4=m
zNG+#*=8aW+aAo_*qP26_Xn-OJ6^7%C0^MY+O8+y$J55{b9-SrQ2Cj*+_Nq2bl>SUl
zRv_y>Ig=l%Ds~36Ya7N;^Rc`1=Qim)h)T*8rl}~>WJFZUSoY&9SC@)$QP|dg^E#uM
z;*_mW_9V%L0<n~><NhQI8H$U|Sng>SraDXR)4w;Q*IFMvib!*J7SL$eqn~(wiTtH3
z{=dyx==+`{c6-<FznS8{y`xkGqN`C@u-sk85RE6SkCV;QGBQ)GCVN}{=IXl5pzy;1
zDg6AkxQCreAo0bC`$CZ+sI+Jvw)v7|9MQ=ylxw|YC#yjG?2xjU6cq`&5^xE!+05=E
zn>UtLbP6iEDvAAO%c-S??;q7Q6j3+DNyESfz^X13wh~Fs5R0P_$XFDi=8}y?tnJhd
ztQa*x-x>Iv^-;;C6D(FMW2g=_=OxV}irSV=!$%-4L4}B)(co+ODQc;su}b<Omp-cp
z8yZmz<-29Y($`vdyI#X(%8EFR)b^}GS+r&=X)pbTplxHPP}3b7Yn-it%pio$&ZGmq
zoalgJJa+azdXDduCdUBMI7aiQO*Mvi&>ISfCF!h&LT#1u)~DOzdJ#6W1~P=iX`Pe&
z3B=0&-Kx^623`$uOylYkkS7JRsxGvxfVFH2mmEJaW=bPJ_gRhP;oOStx-TiuooWwq
zb0(QsudCYruPAs`xvIU>^DmdaoEuB-K)2-}Ou2?tg!?>R1FDuViqV@PB~#_CvmW0p
z6sLG!n~s<G#)t#NkZ}{g8dY6jVkD<t^rp5eb(8R1$#y}=W{W!ug@nz=o36_`fi9F$
z^@${?sIw!Hj95T_!T`NEEZtZ%kGtP&B8mpSma#yq))jN;7F<E+=)T#EQKe96YJ?+M
zs{$0I6f`ck)L=7@qJQtcXbJ-uBfl~(>cQscg~Gnt(2{7#O;%-%r@4m|kF5_CLE4BX
z5c`9cM4lU2guii^lydp+t~Q}ou~tzw&Qt4iW4L|OIk;q{7)X5+H*P%aO0IZf2T&!I
zICz(_(A5i1d8A4Qj?~V5>LM#biN!jGu}1$LuX3PK!_`Razk*3XaBqJBhdZWf#=u|w
zu1daJeum8flW9r)&L0mdt)AWy2+_?2o_Iu{vhD7mg473)>*j(fm}$lwiqsqoq-yj0
zoAsp-jj(Iyp^yUohv7-HT~43_0{iyU*q8~+u7!(~yVTNwB?dEXNjc`+j*B>j9SSpY
z`5Fb&0hFus#h7LvrDQ>?Z22}U>IGU?lD#+9SD2=J&ULy%ZW987sPD1<e<fVnPX;hj
z2{pg_v07K^((v)S612JGQ_J!SA_HFuh>&!5Wx%>1m=>b&LG)sBSYPrX_;lAH_yA-W
zQm-#zf4c!iy#cV6gzGOv47_!l`M(#r{yJqHkqkEHcWX#?q~ED<%SO`dD_21nUxVtq
zVC4K5sVqLG(jgS{&Ew8H0~+Je?u^r9m-lFb_}vE#PEbg-{|96+=$6{qGdouV%P;k3
zG~;bvNbi>aj!Rd}yv%>t%1Fh7Tr3zhwsnt}cu!Zq%A~Lwo_%}#wl2VAshWB!F`mF!
z0-u<E8w?~#Y@1%wS_4;u|Ad8LY@?-ybaXkM){D3Ja3qa9GUg=+3w?o>?N)#KZSEFV
zPuh8k*Gfz!Dyw3dwNQ0<Dm%zb4pBhrr~Kf6?ymW@bIKeYqg+X*!Pzop=LSF7OW5G?
zcQ~5+yL1;0NF#(6Rk7Po0<Ccd2)Dw8b)&eskDbGukcy&@HyMhW(kGPh|BJt&Ndn}7
z)+Q@D!aI^dQVDJhi3+ofMvc}79fC{%);eWcsN=}_G0+QuotRx@*F(|~R<s=U&ZJvM
z?;E7t%^6q*=MNPPH)$}S`;~MBeQ75G3HvL=!+Lt>OXg?$<$R-XQnz^8i$=O2e;7ay
z{FWakO6V)lSI;WeF3s68x9$tK6;d=aRph1%48y+?wg}vc991EH($0+?mg)aVYYGOX
zgJ8a!3Av#TK^JoK8<;Ih74Ze@^LsLF91Hs2-b+%tq~bvvI2b&OwHvS!#d&m_oBRam
zjmnTM5b~}<RAn=7ovhNIXMybB2YFbqHtockx3A&bW7G?DKx{-qN$xz>U2ZJ9YcImA
z=OzJ7h6<FTj~bGz4traIO&;-JZgUvfO~HxE?n;Yb<9;`Oa&p#^rC<KBwCWV*9mJnE
zwyd)0_HZ^W`Lyg?>v&6u-9~>;$V2UBO6xpOfioaimu_?un!F9ql_z4r7`iWUKGw*K
z%T*WbSRO+xiB@_WOHBU(N-n-r<wPI$k_^Rm@$xO(Fs(Pr#!{?MJo}f*WBp5i_XdH$
zh2LK^68!>Jdq^=YHWF4;4gPgvr7ZSPCqZWuqHyMdvCZ^h0VL^NVKq{=Vbk0q_5AFx
z$aFy^3i;VW2js(($BEp`Cd=yvi1(xLZ~jXKG27Q@c!i$W68IXOvYdb=Iv!*vbxC~#
z8Zy^wN{>lWVM0*i!Yr1O-}%b>Y3s%%7Qn%D@t`?U?@F)wd*)CdBT4-bqYWCQxi2i&
z9~bv82HT#folPsA_5wm+nZfde^K+ukL{l&`$(l-3k03~4n-6#RJDUG8mx_L7_gb=$
zvn{XwsOU-z+Wnt-@R<Eq%1UK7_YMBhGX8b6I5^5!Ho1>riJ+pToa?~Rf`JzVsUs>~
zulO2l>afP5_t!0W;dK66rQ$L(z0$rj=9dvWkcgCRm-*_CIC$;~>ciELhM#2}FcuQq
z?RtLmLpKxzo_LBt{|)AeL@5hTS~x60XoN)Kf4<5?z$1SwF)BrSDWK97g9H-4E;ej}
zPBt1L<Yjt|H#+;ImhslP;;i^q3b`w$7ZkEEkM!S+zsbyln~D-qq!8T4w5>!U2sn=9
z=})?jZ2T9(fqC4dFU>jFS{3Bi<BCQ%zA<06nPNHsYC#aDKm6AW^EcHFkCPKVt)QlK
zRLG90xfQy*KCm0h0U!Xfsa&IPbD;3v54oz<vci%Dt4$qeM)dc_4aF=bvh86$kR)1D
z>mt821f(4_vm251dcjJ+5E3q8_&LuFb3P@jw}HxheX#aA(!3f1PSNQd=s88UX`0KE
z<17(9cq-mY!;oQD{~?2Lr18n9#Cv}td%AC;;fer>SlW1Qcmo9Hw!rP1NY9uaW{=oy
z7Mm^POb_dAUOrYj%g5j1c%FDjz!n0S*5H-Qyw>-*3Mvo2FNpkbx)c68-9><9aXhO8
zJdh~-K`k<-^yY#+A}%|P6a>vwsEN&GKX%QO;yemC)3uxSaK8QnsofEYFu`eO{}+X|
zdOOJjZ6SH#qT)R>GFjWvL_v%qsAy6bYZ4-Sf`a2==-Ua$UJ!<oFhMOnQPs^}hApg*
z*q_AtU)~OE_k~9b>C79`f8A=SyBu+t9A@b(C3!!sTKYw0=L-s60+y^4&veerHoJ-n
zSCf7u?75-;9VPM44%V)>0)Q%7V7@ft7quVT^|D)k=fMi0<WTnFF@?RMaDCxG!;2^N
z3~Id%hQz)&&7E|Yf1=~~q<?(H0buk!ctV1}>OXRj80#}mXVRglQ7R|&MZYpf>HD)g
z=#hu>Sz_$=+z6$kyYh<9!*G%JO(h7uKhq4rS<2Eh7~n#XKw<8c0)Jakp+{Cxx4Hq!
zzm}oZ0A$cMZX}@Ju@{%>s)q!CjfEMjrf>`P2DoqjYZzTMnj3BfEx5Mdt$On;zJ^j#
zg98}c+PC##7j4fJMz-HUvG8uEqYdtoA2S&`U!4E(1V@WwX}wcrdrZOk|D6S}8c=Nq
z6$JY-=Q1BC=gnSrnJm*9)tvdiyn9A!{_M4BT_s-lgaYZI*Wv=Hb~3KaBcf(lQ(aMs
z|Gy>Hmg}KA&(h}}9xY(2+t%(4VF>CU?m~TVmNNPZ{<Vo1))t8P0a&O;5Sz&bG3+Ts
zs6C%>FGXg%f>cdF3P{EVaCIjFK%lt7<nJj0cn3?2ib=d2)D#Awj{ngoX3c|`0(U?t
zrGFyawv--eF^~G*`nIA+A-^||<3P>2?I;6k2yA2ReH&-1=f3Y#%wLo#==b!(w%!tp
zM(Hv73)O}2`QZ%##yTV#)-mIK{|gHm5<L25{3Xf5{i(C`LbVy?VCJ)j=sv|l4awnd
zE5mnfPvMGZS6+Gso4_*8HO9{`CUg$=a`GxM_NgA}FeuuRFsFV#5kKJa{y1O;{8IMS
zxma)x9m~s&xF&Gdc)#>I<zpc(_u861I?~(c#q#BrD$c(}`f(R%YKIu#4>`qs5}uhz
zRC0q`5{_NPGJm8gCbCGR>i1)3ot+H7omRVz$9EfZ=;N5BJf7VPrwkl%$br>eehB}5
zzEPOWBTZ3jM?3d$q#oa1_%oheeH2ZL@Z$=tDfx*Gw}_Q(xU2ik=lVw`4g}Lf?4CwL
zV3x2Qt@Fbw{FvB>tO1hn$U(@$;f=&$<}8K^X#hw8A)I$09=E{0?C}R)^S`Xc-CtTc
zp*|1_vGm*B_Hv=MN18!L0aR@YMCDy|mo|PZySko}(XM*ac31iQPk*z!@H8;-U*0Zx
z>5u7#t@nU2r6b=4=0ly`{yzN09*(I+Xg7;m9Ah0G<aZch6|nA|^qP?iBe9<>R)}pe
z3&Wla)<|QQ;`hZ~iV=f|QHueOe>|HsZ)di5qo~#T(~s*fM{39K5g(DWkU<-kYyvH1
z>7tT-(ZYGm5l!DRQNH94{>y6!U-SaR6Mbl2N=o}T!~!-#psu54H7w3YQslilez)>w
zv9WkJ_bV*df%klKYEG#uzYlR@EUS|Uj046l3$`1FTwP_;e5HtMT-UyAwr)j*e3x}@
zNRrApdBoj$=?M@&*8+E+SZDE>Wt2tRH;Su<gu6+X7A8JCw$<Obz7y?O?apXQTNt8#
zR=&j4ejWogMmUJ4C(iFalule`m!h6f8KY<Yr?!#Z*neB|TYUpAJ9HDWTd0<VQ&!I6
zO{70-b2TX=<vk369pJ8lD?pLrnQ=4QamT~Sihkwh-4F<Ia@*|s_>ynRwM&lMlk=Ne
z4v%pVSDJF$0%!j|t{_g2Wf-Qs#L5GA+rZhO$+_J^Z_lc0l2%)*&E1PuaMtBIU@0U_
zKlfDwJOG4#zK`?tPHnx5&(=en*+d#6z!L(<B93J~fJIK7Ic`p?R0-as8rWEWmM{{I
zI^NwdnjW-?Uf92nuQNTCy3P}LDgc^Ud?7g(;ggs&rQ_Q_gSCEd4lZ}U)ywoB+ri$j
zJ$71C43xrQ411ny&GaidEWo$|j-CW^w9BqVcqPw$xN}f3gL%4sW)`DVXvP+WL%@}T
zD_v_b*35{8an4RdL83!dXzdF7ZX#s>(yr*^aP=#l-p$iAC+DTt9EMM+kypapt6{*g
zhYd!bhlv_D8n1f7>^kS)pO0CaLU5g!cmdi#{`%g(CSP!?OT9)O;vVClW?BFYZK@FG
z#F|ZG5x&%=a(#?0MG075{+uDpWhphSR|4n@yZF*fHRD23m-f46*3q-S-(>!IJYwqe
zqST;AywD+9HxC5kAK37HGwBxX?z@U7igkS8*8ST1BsIf!s}AsN5XsvF%K)5Nr80Cn
zW?cq1TlARc-(#q}im`NYFP;F=ZRt4^m-Ong-CWVc*z$wdFlr531PupWX&aAyM057+
z2mM%ybo{#(;<{GNUbK$8llvojoVR`wsbC-cT(FN(@`lMPm68wka2Kyy;BiBRre&UN
z4#d>;*di~Wwuf`WT}@*CH~SgZhrUVUzDOxovTBs=JkaPY^GNe`AD&NzTI)$MM>_3d
z8~YJncbi%WFV}fIf@pIJ*u(y?vbvGm7LTJZ5KR_1L-d<%B5R*Dalk&QtW@n>R5Og}
z+<C0{ujz;G#ztA@t)CL<0%Ka&2{duHm$g)20!7l-ECy70u7jS<b1(BXpDHW00h|aU
zcLx@K=a%fUjKQ<cpPh$97C!${$-C0Lu~i&;ueEZon)qCgPs$DLQ23EOW$b_nj)c`M
zuhy|(vZHU80A8#&D)c{YWb`H0Dv46=CpU$_XAaTrp*Kfzn8N65?up)ZaSTzA8V2&U
zv95i(-BX6Ou-eerM>ZPAHSwpD#d|zFcr{X56jU_4hIsB!zo{^-JC36Vyp}cI_%c{{
zOAxG*4lMZXcCBo{=>rqbSjFAi9wfA*Nc{!7yG>3nt2h|uDy;emN(Ny&cgdhWLt{LW
zM|iEb$AT7PZ*d9zHS%|Vj;iA)gANVCq8L>VW76{;q8TJq-XmcHjS&O#`<gvqjSG83
zD|o(Si;uLA06hw+2?O;W^K}Nf#`4Zi@|VB|U&~6WAhux)Uk}Hko**>)NG)l}q$eQ`
z8eO+fl+)R534s#aHaY^y9DBDn#2WbR=3~86WI#!$6341Ym&nt0@O$;hy@HbNGpPmq
zXL<xxuk!~Fw+%I1Sjz;p_!mox5K_3w+wJli^KkAL|E&7!?aNWgUq??~gL1Z2k!9X-
zad?a=06(QL7tL+~1_r)gHdFh(0NJqffRMK#RH+SJc0T*g-nx0d(!gRuYqrv{$SzN0
z_7TOzn%j&k&JI<(3p@DTc;c0hYBy0C#|^yu8vS-l>^vholT369nJx0y<&%rYs}X75
zoQ_>IVV5`fp<*xP=@XNk0rz&)%!h?rX@Jd1p3t`F`4WG-n((;l@#M2|7Rdt?|JbjV
zuy+B2TK1RhXxGq<_O_I-MMPgR0MOLSa`Z0^<;Jk>yPRr+H{){~sT|^2b=`X54J!dl
zB>zx3&``e!<{q^hKOC@RpD%1jnL~;k0CVjfS%>=~Asf!F#Ea2)Z8B?gJ1sZf0(z;U
zC7ao6w9)i#VE<UL@Ci3!V<!eDYWeFvKw%dDa%#2IAJ0EklS$-B^$cG@w9&sFf^5xA
zfP^?5r<-=|+?bD&^T<*v4A8(8PjJPvO0>j5bilWqgv-)wp@VfW1jys*32z>j(0r-F
z3d1BUL#-&AUOvQ7=cbuZepN`87e_Ue>jjZU60TB(furnb6E*9@3Oss(C1mGBjGWZr
zMzBmea>ZR*^F!L8l#EX;G=N*Dst%VK4@bNG_;wYRo_nw_+d*KHcQ@jng4)}mjM?{P
z>iT(dCwuP?wZI}(b7Q@&rG_kDtxC8hqP*~|Tcxa@-uhX@bO2Y;3KBC%upfe>^$SHh
z8xB0{=2zWApl2tVNZs^)p(+eRX<y(sZuYm((9=X|xF>qu_E#NSekMnHRV0V;WzE<v
z``il5S;4Br@iYaF8f`%!f4wh+zAT7o^EhbYIIs(+Q^9-r?jsO(fnWw5zUeL9P1^P#
zP=^Qazq(QS^;no^<@dTV3%@<o)U~qI1f@OsR0c3zLs5KdP07*SmUwd!%84smc3phZ
zb%VCm+!AZz8mt53NE%9jX3?-3lL&FB=(qlJ(pHfU;SYoc+LiuEt98lu`ai+-B=+_X
z0^@Y=VS3Z`Gz7!s$;W*h316<<^b+~B{ntbCEp{iqyL1V#1PXk{_^xWq4eR%Kx?If1
z%!15_ocLAiGP?YxSsiPtVFFKB;1HP0bqTN;hO(HFaob}OWJh;sO?KN4u*m=vOCwL0
zcte2}d@`S(2t67xx_Go_U0-{DGRWZ^erD*gPqsr+nFMxXT)fHh*gzElH7o7s<-y-R
zc!yhb-mseD(cHmyB67<)sjn<oeqB8p{`b<@GEFV@#twQ>kLGyGXfO${z?}(;Ey6Cd
z=h@x%?_qGO(-&@fbQfF&AJbjr`MOcWD`cT0`SaRgUc3P-6-OTx4f^=u$`HLL<XQZy
zld0AflX_}y%2eGB*s=Eb^_GYYl_2tzjw%$hkvKHf!p22sp%zsw-)i1zWLfd=yxl!3
z@C-K=c|1Qey9!8VQ{pm#RooVVww%R(^tI>vG0a1!@h-KM$be*&k7B&hSi|9IulmJ?
z1G2eXLxJ|LdwBw)tr?cE6>J-5;bdUZ96+^(x#i2pY(MKDg(J=lBQ0xQx^nt_wk;&^
z0M!7QC3byU+d@y_0{hEbq>XFpRY9!y4u{)si18%47jo)a7X1+3j$*YR%@ByJ4_3+c
zXi+?BFII2lnfx5c6<Q_vgnYRk7W_B#>%#kUXwhaCTJv~8pTf(PtxcYvfAR~dK%1*1
z%bVM}-eEMS>F@b&ts<F)7l+!#Zd3=;4O%JyjOTmnMkTeu+jgQ%JUVs*pcAJfua!Tp
zhAp7eNptjdwdJ(jWLi|KfDM^04j9RRZ_@aKyWx-qr@<iO9{4}xOdIr@AU#8%6pFp;
z$Ty_vE($Fat`=kX4>Xv%xqTB%<Q*%<f|?M*L*rR$JU2~*4h`@Co4W3{U3lzKK=iX%
z_Ox?&ME=xI%nAn>+mXob{e5W4nU~K;(z!+XphpI+9;-o>34+{s)gVt3ET~)|&u*_Z
zWWo$qI0t~!EWX2}FU4VCt!e^m62wS7iS%1Rgpw^&aM1h0L+4GD{STD#iAwARXdSG9
z?eFfs6s935y!|y*%=!sT0xOU-rvb5J>?1!Ge^SM9xl3BU(OAV^7RWq9c8`SF`~9{d
z^9uI-kXIZTGBBMBW&2ag=-~h^p5^FtWulcl!er|2_i#@q*C-V$$Ddx_%1~W{ShE^$
zf;a{Bfej34>KNJ{n;#=f&*{Gru&mqUuO3p~X?#z`ivBS-%m3=Za9;L~T8$Mta>@K=
zw{&3b->1HlZ@%=K#gf{N6M#Tw0*v{u$IwgOn|9;tE0LNZ;#2ho{SDLjUd*C&6>4rG
zODfNkFFhzZ&D&3WrN!Y`Z3p^RRQ(qhW>gk#uPBt8vy4kV?<Cf~y5T%g%;M*cwVZ6P
z5N}P*aexnPNHvSQvYtkLB9AwgaTK%=n&fDG%u=$nKooL2k@5Wu+m?N(KRd^uXdmN1
z-S54`wh{2e^9RoWEX*dolN*4WGUA}j2-h3i`Jh)a2J?h#L~_3xSDMl}P_4CmK*)56
z-^vaeO#S`y$P$0Sj*|3q68_yu@n?!?k2E8e4Wk2VD-qD`@uZJ!NBy3J{YosCr@n5b
zVTUJ*jxarW;mf@WlM>MBn_;oP(j<bbWV3*d16*h&TpXA$h0J)zfK0Lx^L(zKMrrix
zpqA_PH><IaJ)Wln1s%CL+_uoh%m-MA`flx4<o=Cc8b2e}Crkqem8j$50KfYqG4rW~
z5z)bqDNV%x`I++r^2G&V*++a_bSa7*Ao6Qb`B>LFnDgaI3GyS9Uq=CMYFhKH);&d}
zyvJ7r^z>Ei8+>$3XV^l@3~6Koq667^JlmOG%`92<@a=5K3v1#toAq7Jc6g1vwg?^{
z=$p+uG<=Z(Ne!aWp*K%3VzoBJ{rwL*hvJ!L{x5N4zVIi}LckOsLl!fZU3zBX_%D->
zRy=$8%g&#25%yQHQ<WCrneHr}VKTlZD{R7C@wBs+hbRr`MOvomAtH0nXDo9e;$Km<
z@H^$e)8gMn6ip1c_c0$<J|FTJF&LKhi@<}N`q{e?+S87WhDb-#>y5=++`}I8NB>#m
z1N*-3$6|eUcsg%;aD*8<Q@YZI#V=p0&hoF&tq@^I<e2cCEcEIDIr<zpfXi1xkq7Do
z*ZNbIjMT--2z@HCnF9gwc&{~OF*cn7{%z!X>Sf!74I|~gv)f$SEwzu~&k#CAIM)7X
z!%y9feSt4Cz0JfVD>!@}GaukqvALzaiLB|DMJ6&GjdS8_4&t*eE`B1mL}~(`jFN+^
zR$_(IH#FhpmCq!9)!}aw%{N4D&Zr>DKgwWPMt+peDs_)Y1N)yp{<0J<8h$G=NuL7`
zQK%po9D8CO>Fvz{dqcTSp8MTx!KR<geLZu#^GcY}+j*lSt&^72h;SX=#I{~fc)#wP
z>Xz8od>v01<lc|!vxaBGWnimKSkyzXjR0s=yHaE966E`%_on>j6`o?p$3G$#bd2&~
zW~V`5fL9U7t@nPZqrPa^^arO80+?@&op4>eEcYr1K?)}`N-}@0@qBA@&@IEtZ3!xp
z7Sc1%Sbp)Z&oObpS=E{}?BoU%T*zA;HD-R<50;-lOU{mIEgZ#3j@x-Ymd!ago?s+z
zVd&(QderC_7mVNLm3>FO_Ip+>tA0bBv$p+tn2e^fqq#(1f_@9TBt4uH5y`DYaA1y3
zWnbxNH4PhX8O6C&Gau2$0+qjbqsh&b2hG@!hNa;g+%g_sLC7qh0O<8mFI;;Z_?qBe
z?jK5MY)q8ahy_aCxK@u+!zs&f*4dhpIXDW{a=$;|-!U*k*ddq=^M5LyFZtd>1xxYo
zSpULp7>K8#jtje{Vv{#n@AeKe*x0qj_{5pN$I)My_?-N~+tQTbrOnK<jl@3EiWU<y
z=Ah%;kxaI9tU5D$%+^*l%KKY*9@lCxW_9L95_gTpDjH?TIhsnO%$|{Y|88C6iur@f
zihZSGPtp!!srENIbhnYS?^mFAHg^%iGx939LGp_w`aHve-e`xZ>C#_5UkcB%pNpgs
zNJ{2gu9Zsz9>^Tjr;dX@;ovbC<g%)+bZUVOJ-_;jE_6v^`^qQ?KZ&yWgq8#t`R?LN
zc1BCnDB8Isw;~tUsoDP^(^dP~4b>oVmZ&j><ye(tf_?t*urA8l^tCt@8XFCt>4>Sb
z_+hP6Afv0hf};19F2;W%3^56y3!Dq9$9XuTF=+4Y@u9*|UJ2*yl+V=dq&cn!tG4Xd
zs)`&Mtj^rvGG?;Qzk%GQ=q$@F4pCGy?il+G6q0FbL7l>_`W&e_uDIy2Yf$tY0^aKW
zd}69bwFB_AO)ef%kzIY<KVC~DT-S2;-Krn0fyl<dtVc8%jV(b@ktGGRG4m4^KEj=7
z2LBrkD?z9}s9r@K8lkn$5kjY8;VCen5h>n5uk|Ph9J>Y{91_eGsw&!K_V!zc6>ejr
z*zTTZu6C&=PRe<SxlK562c98tSKdH}U3Yg1P1eaVxwULK8h+}TMAx_x@*xXZSZb4-
ze-Sq3&5+{}tVlf0S2z?*g4~8;A345FU$??k^=7MN4S%|HuBw>mkxiAZHi~{;9P8s!
zG&W=~0XFTa4WXL8j+^GxXwH<2<n$sd?&})1R(e@DC-+F@dm8xr^xP$dtt}B?+;9R}
zP3@H@l#QbKo7#5FD^6`%jC5Mp^{x9zMIlf7W3^aG0j03HNnL~_qrkU*D6)l%SA{wb
zoHnj{^Dvs&o_#yP05Y%9PwkrtIf=Wm{v!C}S??O=kRVEIXKOlXOMcx=Dv(4HbR><$
zc8A^F1ObdW%g|Yx+SDmqUi?J!O&Gd=tv`l@s`9<8nWuQm`7C*YT@t(7xAB39Ug}v}
zro<ky0gjLyg`r)yzFU{H-}uFev-k293c)-_g_}N$C($0jI)ycSRthE}0sc_(x2&OL
zGk>?C@*#o+#g8B<WknXT$yK116$S>B7^veY=ehp9>^^@Dvn*WeyJzH(k9B!2eQ&|a
z=t5lOhg=IYj|m#P1{O#K!*~ycc$#j{P8H|90|dM#SETS28`DRlQ~{d@qN5Ddx)R(Y
zKfEs$WJMtljhT)9PL(0+SB(Gc^F^(O=)p{q$i8)cfIVPIX(!kqH?Pa(z^ZO*1alqE
z1g2nL2(LIpvjfxzhMKU#ZYf?-DhIAeEX-o8q_7(X*aER<t*yfc(-z6(l?YL8Wj%ba
z_;;ch|DgEF=D$)^aY*%I?&~f7iyiP-C(&e!8=HIMq6D2b^K?ipdfTSE=XNc#O{rJ<
znIXyR;0E87qu|DxXL|mS5ro6WA0(=k$8W%{{sC+};u*@VllQ=tt2_R?E|8<Nr-Ki5
zbvn5cZhB8Y)QAzl`;S-Pq<HXzgmvnJ!Zyn?S?gh=0HV*kv(SD%Wk!{yn5ofy-B}yY
z@cyrd#<Ob0I*^}-&Bo4RH$smu^*CsT^8)1`OQty%!q523Hg|S##{&{8zCW4@@ot=v
zi7p|50sLIzazM38m^1m7tv~Ncd>BcZW|rV!I|ZNq!zq;NxEWsdJgtJ;<op$NDC6NZ
z-~NEHLlHtolyqxd8dHv><ChW3z8o)?<W#tM*(?h$w(9FdUIC;T_v1=f|0&RRRW;lu
z_Hd_<A#=<vJ~Bbd_mRlc1l8aN4rk}R|8V=_B<%CKee@=Jc3&>)cUa!_Y<>QYe}n|H
zb5@)zvAW24J875Wiwj9Pk~5BIS2DeVoCNR@cIl&KbG0fHKMn$<Sv(39S*D*5Em98t
zr1;fFlbJvXF_=_qDB;;+Qxj3b(A3SMz-IcKA{k9@|Ea|PL)0Pu=L5TiOWjd0&*vQy
zdzjJH^N7BUb6=;3-QjVB8v>O?#Ge(uV7$xFDH-y=@!kOBWXqJu!XmtdC}qpJ!AAXL
zvSB*1fAWCyo_icOwgIuV$Ex>{CBu1ZAI9uv&dla?_Ga1|rJVMN$Ul#yaE5_L$Sq@Y
z3$1#t`~Ox;D*b5N638yU0PA6e<}^q{OB-_3GgZ@FZN1K2794zq->MCc-v_4z{qr>%
z=_2K}JWdMm=IFMX7D=av9Xzf2DO|k?2?a+#nM+E$tsZ<%+rG4Z33D0D;g$6czuh?^
z>z~B2=sUQ=#x}t_7y=$~ev;0JD2=Ld?YtyO?_JJQiZw#?PN#OakRQJoDdHbOH$ABt
zzOUhJ#_kY?!`5;BQ_g>CmGh{%Ks5c2Yt9WuoC%O9u;Zhy<((qtV)}=Mv9={-kVj~>
zV)ObLVUB4nsv44XQs6}DU~Kq`-YS-etQ-C3Pd%i0?bo(92lT0#+n;rqj)Q;CpK~P_
zO02BBznM0eN>n97A1PsUj}NS^rklNkw{g(P@iGqlcBA~6rnS~0@CAU!!vE)j8YA23
zyih-J>ynKJh*jtefF<@VX9qvLsnrGlet7Nrki@=&JXLVzzr+hvbIEmve;s2Nz%G`g
z*?A<wDG%QUyDXc897A|I(jZBO=iON!6(`2Ny$=~u9zEr~-u@#@>;<)QsDN#4X%ZF!
zy=DKSTdH9+BhAqx|8meY=n#|8FCn-ZT>Hrd!q_`rw5a3v1EXd+ONs_YuQ@#O7kpt}
zegJOGHpP$Zy6Iafyvg2nLX7=$tuHuioEd*IaWvna5LVFdQm=1sUQXov5^j6`9z6PG
z?*JBw^oJ#09OPnWfEm!mrn2bu!8(hsc*N&T;-e!2%9PHqKc7j7K)*5R<#W0K*Wk+$
zlY^omDPYn13;Y<J(PXuzmnU)@DXV*j!%<H2;yu>IRc37+mG(MYxj|ob&sTD5cVE(e
zjcGkx`>BaF4D;;+?B&>#=*LhW^WKaVuGvqDNmOSf>yhf){t2!!3?`xBquQQgZ3Dsr
z?yOZ|cIm<TjE$kzVNV+Oca5?4F3aZfj%Z>NHcO1c%J-dy!`9K^&o%vM&ZW|=m#20(
zYF+2olx6xP@^$zm!<smMOqL|Y7tD(8o4`e%5iuyrk;}lD>*C2(_(~`YwEP8T$A=4N
zVih`5EY5LBcFv{1i@)1>HlzUfGp_}K9LbIe2QrL{&jU1Sl~){nf|!|5g4v`LU7|YE
z(qos^7kE7p%9#}s|B(G$z~!dlZ~Uuoz%T;wx(J{+$)PX(&N9i?^QNVO(95Yq%9O!7
zHj8O8xft=S$Be0E5s~B{LyJ{HRFtxvYYfG+g`8zk(q+du(?FAkTNCHMzY2<m*KCgX
zbI&tkZs8e&i8uqb!$lufz|Uk&$tQr${fX2B)@yq|2fu!$5@tmE_N2%oF3o8~q0ziW
zTNNs)fouw)g`3$Rsi~HGfH|N4e0b_%$al~JQlw~YD_xZ7_F?$SH!+nUsF1R!@i?aT
zm2jNufFSp(YC!`A-7d?EYT#rE1KbOAIKL-|g~%u3IRR1NFJ}6}go4Z-ujZ*&yElD#
z0;Rz(yD=p7;&G#tbL884J5Q_2s#1p&O+vy`y1xb)B7-@T@|+RJ;TdVKmX89#JyhXb
zzaHJA6`_0t>W{jLHD2klb^vXy0`(-~A!FB#AX>dIu?%nCnIdKzHJ?#ye7WMHBYHj+
zsoFtj4Z5LQh{rWXKcaXwUENkJOvEb5!up4EpZKHoj}#gX)1HS?I}X2}y5V9BOv(L0
zF@O*V?tbzr+*G1DnDdHCb7Vga->(7308+XDZs#}`Z*7Bpj+{NY0NdO%_#OHOz)Ou)
zJie*#H>ARLSw^eIIn-aJ8vAiL9w8bMw!?9Mp!uUke51AP6;;lnlV6H~N8~D?wk3lj
zbem#^2)h9}Ju%8<8_<dJJpwTg+x4lC7c4xWLc1j?Z$46-0a?kgHMnb*ep0EGm|y(Y
z)MT+_f+Lt(_YV4W{u=henMIjME&;nWH9|sb6?Vk;eKLW28<x*6x|XX17Z0J`B;&Dr
z5aaDEN$#<6lf^|TGvC|SU%(UUi$;UGp5%ZPhv8g3NzA`ylQ2sV>v*F4ng-S@gqy{G
zrt4eUILTAKiZ%dVN=H(e;gQI~u>Cr5gLl2r;I8*(dQ5uI$?$|Jah7rZ9#`#bbGtvc
zKCTk3v1CshF7sb@_L6&y{}hy?AR?9d?R*xnHrp&~8#;E~4b)&vvtb1z+P+tN(hEkr
zs-qUcjj8mbZ>EV8k>%<wJD+=xOp`3Kd6?lJv#^?XTi}=b|MPzVnAI$=C1J8JE%prH
zyHwnCn(?eW(GL%xo7c89@SYg~0FNdQxY+m&XOZ$bGzMS~#5DBSw)5s8eYEf3$qrcl
z4RWe*I}K&@$``+C`b{G$cE{U~F`3|3#S+J-`_N!st27!CJ8@C>xNf;bZ5};vTNWuI
z;Yn?aMAjyxMn2qBx|mY%hF%iR61G?ARobP*JKXY0C<N)11Q4n?R<@5I3fK=b%ihYA
z<Z?~Fu#ols1N?sb>C265k`VSgBD@<aZuyYRX=$Pq*ThOjt%kZOM?<^7c-l>}03}~j
zxAu`!Wuyh`$r5tNQ+itCAC`?nbl!orZA*tDY$73&SafoiIocVrgBHoTNtmBgr+OSq
z*ZVt`&Q^A|Ns!mqB%l(9bed;0d&uf>IK`MmR^KM|MT_)JtkCTd?qb$tJ&)gtEe1y;
zS6hnYttz{%Q4!ix(##L0ZeFqrZd-@NhJjoTG&)ALGlqwSP3klH*h^W?+`(I^{TgPT
ztUT<Wz=Xl)Hf(30nP#vM4+<V*fPRe2g6iGJbv|Ez@EQBp%VVrKOeFgpy85QB!y>g<
z1?Fun_AJgl%KZkOB;;{;2ke?EjTQsnI$*veuf=JqsI8-}Gnyc+RCD0~8IMdG1bE54
z-u+xBV#=lA)!8^4+K=7JmYr@cJG3LYgo5j+lIMhJc{z9qM}}$gfu9ltX8qezczP8p
z)+FS3g}KJqw#sSVCF?!ETA!Mp?!#{7vv~MOn1Em3jLeW3%p+(a4v3EUBh`oOvk*v|
z4V)rdveGcwa`lHVZ)P5$0YYxdV5ef3%ckOLxNIas7CkKlf2Z=}POMfc8d(@iE_8do
z_s&+)a95<8&lb41Y#tzAz{<rk0bBDV!KduBIofY{;?Zvx)--nKNfIM3Z$4&{Z><c7
zP-c?2Jlv=Tw_<uL!da!Z%D(Vf*9aK%zLJ@yG3I&eSaTNh)(+^MxUJJaM4wzEETdHK
zk~bn-4Hk&f@n?ZWCz9YLaSuz{3>VcJ{-q|~M7dqwzltW7esR=u521vIdumiUR_-I)
z|8)Ao*dq1)QP3(@S?y*Qy*?N@xxU5zzw*BNtEw*Q8Xi(5rCUHiq@)`ZB$bvf=`QI@
zDM-Vm>(bp9E-i3Dx;rl2-QDpX$M^ja?-=jTC-y#Pud&8nbI&=~MX-*6SDwT4seGq<
ztEXi$rKA6rhshS(Z}Vyk>vz1nyYt8F8x$rQc2S$HV47;7Mi5%?yHKxGJBdOe&a#4E
z<8o{VAo|Z4a?~AhY1RDW`llpO@NiL0JN#{pCc@pq72D{&s0)S#30OB#911xA$0yJM
zlB?3lc4bBDhy|5vZFQqr1B-<voxWH&Oo3FDT6$nKPGX#lT<6L`t*dfaR=wOQ#r`<K
zJruni?w<>@=kblHc@>w_c6*9Tdm9nTOY#**_M`Iy^`-W>(R(clDF|X`D6!>*mh)J-
zzvpaBddM*zG3SpHE3|u`-PcJdYm(v0on+yBfAe-@(P4*?$ZS=1ULKF;Mo(mVn+ClT
zPA|YDJ>oW+>$bJ6IB(KrX$d8sh(mPp&XJ-?mI2`O`lhtvXwfz8A|f&4l%yXVhj2CU
zFvBUF$B)-EI7m%jTx1VChs-<h5^0+XJd?f7+xMTk#fS7MbuHB3V;n|u#pwEXgi0nw
zuzu&#iv(ew&SfnnSjVi*hxMIu|I2(vg{w#L4knrMTV-Ib4Iidl(G0Kp@|$epM<372
znYuTuE(#s!qQQbnRf=*d9@M_4oVH#eV+Nhc86$;iNmv^Qb;;x_=>;Nj8Myd!U6;jA
zhF7cy1{tooZqY$29}4VjVzQd=YinaczHQekzueJ=PAPaQs2>_!Ke|C0&cohjw0vtd
z%ARuS16#Mgr5ab;cM2@UCOP9S<I5ifaY}8DiQMDPP#ez}JncbhH7)Ys(ua{Ql2=KR
zLcbrtuPrJ(+f;V25#OY0l)g`F$hIscQyKz@)Vz~9VQcJ;l-&GnitWN)FVr(44KDBY
zRuVJ)jKJ7O)VvSJCsyL&L!JnPEj4oAlNjT6D<w-4RroxuV@X*op{4LQRc2$JNrMP(
zZIVEWypk66YV=2|5gBi}$QCIR)E*{a-{SVPH?Vsmo|GnZ<#C1GLWFBS3xj8@zRh@P
z=ahB4c#YSoYde0Uki8;)9#-|&lFVCMkg8Ep!gxm9ba1?g9&46j%!h#7eq62nqS@D{
ztcHdYitYfV7-DqGTp@ibq33A90dm~BJNaH>##d*8t<7Pl0_=H>GDp%{p?;8atEk!l
z_@XN=z|&NwYD-dJT)Esf#GkR|ER8s?;KSQAuC8T+{S5T6D`IZF-sWN1^@uqN4zo9Y
ziD@$F{G}XEwaUOMZFbI8t1wN|3V;-Fa!CLICD`GuC=p~9geQsG=~oXDCco>w4C0ma
z@nRc++Dud)8^sO15Zy0qd|$_QkA9B2hyN1Axczzjx{lxfv$-B#Yf#362MI`u0`Z|#
z0`peCz^eJ~QPuBBVWcHx32(g71~BJnfwwUcLj2eX0gWeW&$jcqWR_7zLB6)FduE-U
z$&kahItMdB(BguSB*UNV2O*CNc{2{C-*W+DcVH^n>c}w|qC4b}B;&fNOkg|9WTM(9
z=1w?&Naofu{cHj>Buwm<=cnFS=e}5UqF|dLnMQ}whD>xrx!h&w!`2ilgSpzUl1lBu
zipB^(3r!+Q{OUN9@wr8_QjRjts^*3HQu+Lhk%euPy4ck6)@xl0QutRd`o+YS`l@!t
zyE_s$y;E#@g?$DzG7`#eEgLipfbs~&?d(+@KHfenRTmzy>Ij_|jhr}ddbF-_>-y@`
zT{<0SAZPN~t=YJ)B0@Blt~a#2B65b|B0MT5so@%%Y=Ug6@H1xV=lSbIj@Sd$aMm@v
z!hl4-XQ2#!h`r!btEMAQ>-~`aaCb-)pqo4;BIWDQ@l^R8`Rp4D?Qo*>1-*-e-I>W;
zajat<#lHe-KP6f*5W|<xl!%b4kL*^v5m$r@IiKuD<3jI`GO%Y?u-jA|SQc8gUU4c*
zbJFo#zO?V*2Xv^8<7x(ezjE^iJTS+L>juVms9<xx4^zx&2bR;d=CXwH71gT8M7Vkj
z20gG;qM&F#U15*KG3P!0*Ur_m5(~cFj7wcQGI*_eSFgCTzVQ|Ju2Izc<o0_8+ZkEq
z$rLch2B8_h!ch_8d5&DUQ3dusUwq~o`^G;=`z31y$qpy5&t}7pX+4`wBBlj)=L;pw
z7&k>y$KText}dKS_Trov0~0g9UesC0{LQt9UZHB$%sK>D!2LUOL`bP#apvs%<Ry-%
zr_P5o-(Rv#_|pqyVI1k+qJFh-^}e6!Zr4u9>>kaM$`B$4u|MYP>%#DkNhN%hwR{Zh
zaWosz`waH;_C!{R$%Zr3`EdE|=d)5b<?^||Gx9=&I^r->D_RTwo*m9DR_mVfRMx=w
zg8Rp3!kN~HN6-@I46)I%qS)KAU4K^~Wv)-$5CqUtJ>IH)<lF%WR`Xpn+ae=l?L1V{
zy)70NeutloG)d{rjU_NiCbpLb_xS=yCt8MwhZAWP7+c)AMaS<5icmfGy`8ALs3j8Z
zMd9cN*j`CB`VTjuKM<|<JUZmGKL1&r{x{>_k=)!7rSi$~0m~8`)qWFHAu*V%b2bqR
zrEiPE1s%;LELXlu_++Co@A{tox?uZJRmj6s1~XqI?3$s4kp^ees1H0U@9H|h2w$U5
z&%6rTKAm!3b%+5Yc-yvgKdiuNc>pb2n6OFxdceE^KP2`gn6&yR>m~S?T6E7$5k>2w
z48}A7g5Zg0GXXqd6S0H87d7352k-a{|7&-jo~tX<TolQ;&P9FCWJdFiHtOua`(~p@
z!v{KC?Pw(BVX$qqEr}I7`1X(ek>PA*;<wkX*qSbr7YnLhxijizmP;e)g?Tm=6h!dg
zuV%**UVnZqPvPZDo-bp90qdqy+ONJS*z|2FiA{9(0ThSpeYM*&QG^wL+SLCptVPo-
zsrTY2X;~?1rw;PU#mVi@fc<6&GkSjBBtJEq1$>e2{r14vAw<7Zk$QvAyB0M^(FGkp
zZ0H;zei=MijI!27M8Hb^kg)Qz0-#khqG*&v%1Gx~805mMSo(2h1&hpjT<v+c-1=~y
zo%AUP%L$&-?YImm*AG~&`x^#uSa4z#Yo2{Z?n0~Co?y{1T<eMn6AB_7%1pS*?^x5G
z(^F~!N+`Otqf#1sn-S{oV*ulQG1x%Z(b44>r7$wHMCsm5CCIOftD)pY6cj>7WpGcf
z;U@Mx@hHY|QJPB-B!3R~$}%N|`|J!B2O5xZiI;6%>(9A$9n?xf3?mhBJ7zAcmSdH|
zPfpKY;y87(OXVEyQPq=SwEZg<Tfoq-4o#TcF~Jry!bcHnPA-EL9oL7=M>UL@;;&Z2
zG~`|iM#y*yOvx>pWobfiYm!kOjNEo>dBVW@(p@u9yZO>_nRqJrzO;>5^y8x0FM-Gr
zP7{>2QxssYh2CmRTG^DOMKy+{#o%r$<$ClQ^46=AWnMEWXcb0Mm5a$9Rl@U1Y;(16
z;7WFz+58pf4W)a224^v#MO-U|4=;JxMbTue<vYFrYs8pUYibFj1&_f>OZ-=EIDx`&
z@clY%Yz8XH))Rydyxl*~^rpE<(I+><k6|{3$BT@5`V9Qo0O4UGrj%hD;Si4=%~bBO
zjWT9eAR2#GDK^*>yx5a7!F=BTGr1%n9giMGoyy?p<G(()`>ZmnvBBJiEDqqdl3MH>
z){N`8x`b2t3-WffM`1WUe=0J%>H<9q<sfyje#h9Yl3u>DLa^vOGL)!~WK(z*DDfGU
zjNWhO{IgoNh$-IDh9!X>&SzAy&VKFu$1rcO)9iZH&0rNcV%r$>?N;v1{m9$1)8i#W
z*s=94K1~K}rD<h$J5v(jUTf2|{?-HG=Ctrj`N_aD6_LM0EZ=n3)e@}ZMwqQ$zh0v{
z{E>0k*&csr_$7yq(Lhimg4fPSR>i(OP0#bqutg@~QFE5UoW$<M*vZH=#@H(6G{V$W
zb7JQ2;f>sh;G5r-1z6(7t{zav^lTA=(z~P6?z!_Z^{M<T>R~h=<DEB4@e~+8AY_WJ
z<7SbaDTKObR*7ng!M#2G>@mUO9AF;qea9N1<84XpD(2gD3Vn#zW7zWyvp#Xg`_GrN
z090WeESahcw~=-X;l!sDM~AF;kPWoq-{&~ntyKhP5aMk?t3sFd6O`8D_XZo&m0nGm
z%G^6eXH1kn6YBN;r?mcNn@?SukOMLM&Wh{i=swDU+Nf;f<4fmKDi%dWug%g^DE3si
z-@#rz|2VsKOg=A6I)MFh<=B51$(n^G$fs*`f%I;K@loTXDx1ko%E^(}NuE-wijtXL
z&x?Lro9FiZ>;z7E-k$CHwaDJer+z=<2lKQL6CA|K-1r=Wt+wES>>+~2t@YtJ<nZO&
zV~NvY)ZOnKN%_l5MavB-bYIq$EC!6)e%;)No(Q%O&gX<YXGCzjwVb$LXp@`WI4|>l
zvz<+=8(;C59fn`_O?Y)#8Eo6Ry5=IzPrNYYl49yr20}ooJQ&OA*3dj^|H}Xl&!nnc
zXK<*Zf@Gj`zHGTE`^eW(6o0tWp!`AuRVF+aA<>piSuj<#-}qnKKN}(6*jn;-viJSz
z#)$Up5s&PKZiN70Gnq@>ik{ZEqbVnWFxFYTO<o&WCYz!-kV*F2H0PbeH7wFT^<HWy
zFQ-rLly!k%Qu5?Tb}Ien;?<Hr-{$m{^|mQrb{RF}K;W?YzyYWmt`tAKEqRrbQ4Ei=
z^<`~Bl*E0G5O<sp??G#)cFSXne)m`Z+A>u|(yNBxd_Vodx{=atp0Eh@f+RfhLJ!UZ
zve`=_C2@-D%>ds^Jc(B7xstgs6L}xdJ3qDldJa7Yn^TQ$T=j&`sVRySkGYD|suzYd
zZ{gh*UexFQxy5V{c{E=no}R*0cV;gR1!8*=8QgO3s}1(*Pw#~%k+xp=2v<czb<UI}
z3}Ut?nK6eqCQsSwH%91=hWRbLZ7AhpdA1T-xTYwax(Jd=Hr~_HXw>o>9QLO$u2Vmk
ziFs8^5#Q^L<ugGdS9`MR&ft05>8ULn!-UCoWK9u@pagjB&$<z#D<3<tJI&pdoiR+`
zjbJ>9`4b#3)`xHmr$Oe6Tht1cZ9EAOlVj>y!ydjklWsgW+vkAs7Cxp8_S;tp5NxxB
zeH$(5v&FPn%Wx52Hi35S^;d3E#WIejcKDPZFvNNa$IJvtpU${7f(7n=TV+#^{w!AG
zC04Urb?YTbAIFpPS38rRYH0XOjKhbcc~sdR#6!>L<!J!*UvlnM6YII$e$|teqCa*p
z^^mOop0=;OaSjiI=rO3#tZJ;Oa#A2{jkuCsbj%h@`~_qkg_C_>l;Tj|WX@PUX_~zj
zebps^H*el%0MN!Yjs|SUS$iYGY_yG7+4fNdIr^)y5qMi7pdD3O`G<tQBDEAVs&#RS
z_pm*>@}*I6(#_yi&^4g)bFgwbZi=hB={4VXlo`T8#dr(UlXy|hA=||mroo(<^QOU-
z%hY2c%XYeMg_0tY1<k{MN=9f$iXmPDCk>2*CF+rniK_5FPE@V$SxDb^Ui{u@+qb0d
z%wvz;N4H^A?a84tZ`GbIuUsp_@sd3B-PJTRD(*O$vBrRY(d8+BbHk}MavCY}u(*^@
zgf#SGCM<8NRyeB|>+1Z)&hC_*Yw?41yxwrPUp}3bc#empi6wJXx$jx=qfUBXRd33g
zFhOtwxIOI(aJm9L9&4VP>Od{|rfh2MrnX#g<V+BSX9xG=sb>aKj<VvZIU-QW3F26T
zn5Im>Ufd`rOmMW{s|fSMSG1@Yzwu54#a^$gJ_TBJfFvXBNH_*Gbg8B(A%%SKUm(Th
z1a#^Sx%9vikt$o#3PW8nh5nY(6eT#AL}DSJV|$02LPrv_V*BHce6Ai%{UohgMum07
z(mU+(Jv@mVwmtsg3DL>0o(k$ltcZehWI(yI&b{03hHDA_Zot0GCLET{WEu>+mj8{2
zQ@l3}tIAeJRKPOh^c5W(Y}J{d+H?|nulA>E(G1xIgn|{;Ld3uGQ7Y~w+ky8aLmg%)
zU_Ry<Q%;|)Vrwp3aOc+L)BWi;9A5jQ1Oc1`#<}8ET(cf!I>SnvL0ijVzIaceu1jZH
zu}u|2<WiH`*B11%sXqD@S_%nV6zd)eS>2|G;G}n7w`P-W2FWlTqUWlN95C(U&WzYC
zHlAl*C5Dcid~m}Sra3vU%ve8nGE`p{#<(9}{@!3Rs$?;g>=v-+4JoK(&7YMd<!;u2
zL)GeUG}ClE`wUX?JWXxVG?w`wquz&Dv~QoWoI|_sLyJtKjkYeNY?{rsb>p7cI@SCv
zeF+R1P9@gT1}`DWiqa<Q#lPl)WOgR;FmX<R<B}9o&0AbusxHq%G4WiRB!PMu<{uOl
zA<8*48wAg|Y?m3VC&~%c;UZlY>rBe8uJ3x5G%GCemQoR9*ir3sRgjcPFt8L27~cFx
zpcvGw!X*Or#K8o!Z=<~V4eW)#*L=Oo+d5&%SQWHvdKm6MiQhw4UEhy&mq6MS1geZ$
zZ91{;M$Lev>Z_elR}0!tB-V!)*#p-i0tPwNQAQ5&cdjILhRzgAMO|ezKhjP-O=GvT
z=){l!PBqPd1UBbrS8o<>FL=qOn4wA%pAz4p#HJ5?9<kVxuMx>L%CZ&upW!=AUr*K-
zo>)XajGA#!Lx@7ZN!8xCUDVY^6CW{W7uzm^$#hMUt>KNpcQk;8ueHT`%1ba>7o}i3
zSU=<Qg(aeQ$mtT@OQ-*O<g;}g_74M=0Ynyhpvwm@J13uywgsD&bS+#5spBRadC+e2
za$IJR{(q;u5Hk}}{PYYNO?Q(oE&N`-5zg@jm$>4%Vm(afni|1{P*~^44*8^&CaG7z
z?!pdsGop5QHLut$Jj#X8D(k>{iN<*nQ}9k~*ZJnR=JfvM^LSJ)b7uI4!fai%IBW@2
zV+n^3oS(QXL+5QcF5~JrFBNV*Dcr=6egJ=F_@jcUs<VI+J1$GCF2y?o7nH&?M}u|)
zVJ2&KTJ!kx3dDCGIqlb4F{{_mB%MdXuapVpW#1l?dU4eIZkJC}B5#%Q<IhibQqM=2
zPmz@Ygxrz3P6+F9jCb@ekI0t1^XM=1$Ev>*T<1#x$6MgC`{+ab;Bd{q_HiA|Y?Cf_
zt&1pFekWm{oQqWi(PZM-Qu6K~^S;R)nKQ<<rBhWfPL;&`#qrXT;4X}x0OR`n&&c?@
zI$YCbb!k~d;AA`c&{siI56oNkx?K^Qk?<(%_lMLz6-VzS+oMi7r!k14pvRlMVz0r+
zV6*5n9Qmu__=CthB=Y~}qMNzbP(A{Pz^#a_tIHwzk!5Bt<kmOg;Do2zLbbN$2b>=A
z^aQ{RLT!Yyp|j^8O#SUD6+?%Picv2@iebNla%euy+GCl9|GJs1?d1q#rayhoQ&<_S
z%jNUN)&GAt(Ly;J<i(BHtW!@G>{D{xPFx~%%k!y7ZGe~4%AUHgjYUjk;_?N4`5$kW
zM}fzLA7#V#^DOH$qR_d|pOsbCz+0}Zu}}4;Xx%Wi@#0yf{>`CDT9K=u=_NKXS%#H=
zc*erEE{~D{w{!9VDVV!<uG2(frb4MO(nz6TR`m<kHYz!@GHK5sY6sn4LON{0%@6m7
zW6<t3o{a+Re><TPW!HrQ4dVHo-BywD=3Z4&T3RAX-|L*&?~2|?JOBm!mAe+zQ1#S<
z){s>)eT!me<kw?4o1wTLj{3_s^)fHjc7$v)QQ~jAfBD1(@`ss_8s$2EN;{k#mjc7n
zkOQMijz`miMu|z3^3>{uLxu>wa`A{iain*S+)nMf$ZVLnM+oG+he#sr0Hsxk!K~5#
z&(Ugf=%3R1-1X)}^Sgwq4v#;1R`GGO1Bts(E`W&s4e4o+$wfi6Ol+Z<keNuU8cvr7
zX;Cb9p8WD$8oqu-;1tmedrue8QX&cC|Bb(RB&z|oTFO)%z$}LwCPj;70b(5zr{Jlv
zDH|i1%&yq{dIN4r+YjHvEWPS%cctY!&QB^Oywi~T_Ybm*%zoR3oG;@0fW5hX@I<Zj
z`o}-DMd#Dvu<m_v+H<>e@HwvPd$%|>(%RGL92OPbs*8z}46w)b2X(22S&nthWJXl-
z#LmfQ$2vLiOTx!Oz6Wj34tUAaaMxEaFq$8q5(H$ul}M1!?=~?{>$T~O5!SEu+$gW2
zsY1*h_Ltxc^~vfO<nk=y&%;OSc!+{p$pG70@Uijuo+Shuh11I&8<(8YLULrs4fR<|
z{fl6+RTamLM&6cw^LbyYT%Ydn_VA1R3NyzB<qpK)_D6zh1%t!9+)@~kff|Kz{dj`P
zQR?9jjvDl~?DrA+GZY^HCc{2ywUD<(2N*u!emfsA<ar<uEzQ3P&y96H&+*|bAClSq
zF?$)BVEhNIz2}pqU795LLJ$-?*7=(cS!J`=!Q)awyCQ8;ORONrj9Zsw+_V(Yz=}_)
z_@!e;s^zEPD5YUf-qh+cZ?&fIGoKH5hAZNZ%-G#ejFeRIRnhf(=d}6m4;S)Ah(g+0
zKa!YB{s}_5D(D^ofv>f`Ymkt;h2IySiPp<*GbNZ=MV69|fpAxpO|Q6YAhWSw`(vWC
zqmLf)0}x3u?6YHo7eM4*E+MBHN#o{YgV6fFR@dYULZA1VJ!a{o5*LSQw2Bc)gwA8C
zMvgl*rWN_`yA_40w2xg9z^gydroj`J1)6MZf1+J%lYpq7A}REc47|+y6oUhN%=0X|
zC6MS;MYcJfT?eVEI!uJc>4mp2<Wtf14;F@{!T8|)8$_n(QWdoRoPpfmt0F4-wJW6h
zzGUBIBxH6VHJMM>zNyFw6p1~=D#rkROOBeLEMqfAkzM2bTj1Z{3WOtn`6mrjD9z;`
zT4oXs!bnd`_6wQe`pS0J%cYY+nC?7trbir49(Fg}>bCVH6B;WskzSQ;{1tTfc7j?(
zB&~m{vOLSkB-c`TPmnp#f_g9-uA<m+wB{oGfS^T^1pX3<q&g2#sCbseaYRXjx?5i8
zGtOoV&zI_S5N;mXpW&qZ5E%Wtkx-6%W}VM9F9&ZKQCJ20Ea`S@C!id%MnZ`@cX{2V
zzeY7~lc~VH$tydmZ+%a*c~P{0EbZl~r8VP)fvP;mTBGRaM&aae-tP26UcI_I-)>Ac
z%y64~wQJ&a-i4660I_O6hvwT5_=5$hnmX#E=Ed*aO7SpF;bm_j$pp^@Z6SPqzDF!2
zl*4snOq{d-766E$bPO7tam~F4hm)w=VB-q=EEb4Ne$mY}DPjkw8_w3;=dFzXXQRZ=
zADh<J`A623q>T7UD;@hRasCge{`7R;l>?%GAo0Q<<>@~_FR<Ra1{1!!7IGIH`2)v>
z*bxh{z#~nnGo0@VSm$;mNl2a!iqYb78p+v|?9Bew<fsfQ?JnESUK#|KtvR=x0^|@)
zQHC8un2vX+xSjrgmE`}Jw@P#w&WX;)rah~@8R!|ifyMb*>je7|%t=^KaZnMrvO?kO
zAFi(KblUzNdav@Oxpk&k(^bAvRPmLpUrej{(@{NKNuMJj7XUFJ>;`#enKc>}xgH`k
zRz;h}TB8}Bts)iGvLPIgmY9U*E#?PX=d}dIv&~J}hy~dQ`Q)dlXYw>DuuN){ZND?X
z+haa40Se!r+XL_B3@og2$rfhc2q;dkGH+(X-*8;?4(0hidTDLXV%^i-2E6+`yIRtF
zBQq$Y=~_r-r!FWB6P=_R_z733femm%R-_&O1^_P$NbM)nugXRA>Kj<V;zlJpK1OI?
z5=C6EN3~RJ5NUn+<t&$fSWEa8$VcME?cWdo$bOx<dN-`(uU6|}i)&YRnOI<4XV`fV
z0CXo1{nsO45q!gRNqD0Mu$wxl0$=-SbzFTo(PTMzL+zZ;vV8F#*X*Kuv&AId?YESF
zhbX<8mWXFv=&=`9&4Y1SQFg<cZI2!6{n8negk&WsoUxnz0Q=_EC}nG>VIP<*sf!zQ
z!gi#qB}t}6-LJ^|l_j_q?N{>Cy-$3$FH1FqMRouC0Lq{8pf&4g`J6tG{M=8_OTbzU
zOtbE=h*SQlp?Wwc-HoYma*7qc;x?R3ExR`}oC;y8$W}*1A0`NYJ@3XIU|GYR{&PQ2
z=jmpQ^V0$$!DXf^N0V}_@7ZA`5@1{aNRi{I=DPG8PEyb_Udga!6`D;rkQgSCuyo3F
zFvpmN@!Gc1o#HMY86Vh+o!1Eds;OB`>C?lOvWrIN_YP_F(iF|7&hgYkx&}_pM5)iY
zK^4#~s+cXxhis6p^^iy)?e^DBu-mfr#i@jxsD0#_8_jdg{hl*~?da_z9JDWHLN8kp
zyPe9Vti<_*eIoM@3BfRxId3kO!gL0QxCQcy=xGkDmfTV$kmx%`L{4xL#Dt#Sjhh`i
zDc%teq3aVRLP24t+b1&kE5L@jwZFWo!yYfAq*`F4`kFZkM(|kDAFirJ7H${896VPS
z{m{ENlNA6Qm*u3NvO%yxEUYM(@pv2JUTo6;eB~ZKL=kDD&xu5{1<fmI=svI(H-8S3
z?|E7FBBP^BMR^Nfn-+cYuXn(&m*F$Ma-v-VFMsv`Vott+z(A)ijryATK}(V$Bl{|O
zPeK9@&If%8%pC0t@<(SI57ItVp>K*4jXU{@f8A=f=B;IR-scih^bksqiXYBU{Odp9
zn-N%L@^{P*Onvu?b12Ls&U2HN8lm&Z$&5JjSai>sb9QRE+<Irz|4|WNgr4!>XpTKM
zcCDf?&#SobpF8VMsj80Ns&lh=_JK~fNg8EpIGOu_u;sR(;b4%a5f9r3)8*f;oEiM-
z7<DDR<2JSeO+1U>h9uBSZ_Ixh53B^0ad<}w10QDi9_zUYc6}6^m)d6D)4N7@aLb_L
zXu~De1R)O_a!HHM2r0$dQo%g_`<PFnXkw^57-?St_Rq?bO8W(Q%&$au8R8~f8A~D{
z$%ZST4A9>VzFzGjfd8rvTrddJliuMPhv<jF>*n#b{vy)=-e0fLO@pfqsEI?-N3foi
zJqevXI4h_@`UFEG2rb{&q>8@Ifuw(e&+ysi!^N+4>W_H&YLcZlyBvijp2)Z(@P5_<
zHi?4zRVFKC^_?dtW#4ZIHnWEgyP9vuu(%RE8mFy2asVb8g9)?B^<r(F$vmZaYt{73
z=vA0`5G)Xl@+2ioFsq$eIO3rZcpRa9@PfZbURQ`BJSP2%T%+_Z_K%(}`w9is!VdE!
zxq~p(O9&-J9UJQ7wkCQ+<aght2(GXO*oVWS!oQlpBD{<mI{Et&*MhdgPhFIiF)gxb
z`00F0rs$%_FrP*;UWESVd$|}pz9g3-Ni0$deK?38eU}YLU;m8OLK$M|MC?603N~#0
z3{A_AwcI&}V}Ev($^Vv=d8_#?mVrulW&kd=ts9A59&X_&^DiNIGg{&(k8;WUxbro>
zl>Wf|%R|WiM~`aMg_-AR^V2ACE$PDPrD1J>sf)cP6xSaKKmKn--VQHc*devPs+ScI
zdax|Pk1~Ts@aZF;px~X9=g_kciFM7%eQmxKW^x4;yV&!!P&1EsX!315w3T>TK0^N~
z@{=aTP&Tp{;INQPxR2b#j#?|wVF!tOAz3^(J2TAl#3~%!F6wjKbalx4C9Gb~TD%rw
z_Oa?F$pvc?c-|zOuamC``=3kaXuHX_n7KzMdIwQTU$-&W&fRM^?FXZ8kc=KYhVl3f
z29l>rlVB?Z>hTA@n!_vUNpx?(_|CCXUiC(@e4GIHUDT>+>*#|=>3^*zTxO~*xpS%!
zd0jQj7Y31B^q-U|PJk1PzrlbRY-(irQjz<m{O`?3CQaM2mz&ygoOo`@1q>S1*7mNB
z<)qu3e4X&~ZfQ7G?Y|QP6wr+`ckYpET->Tv8JnI~zW9UFgY@KEeTV(>Gl_^}{3;W`
zUVotYeb|d!z7@bo{-bylFhY+`m5WQlnWbX4co=65)38Zx0{iNZ(&nA8V^4;pc$Jz%
zYP(-^KY`;eWXXrnRhXl;oaPr8jC)8tOMEz`xhn_E5VynoA#JhiPdQtz<-7_7676ri
zr^idw6>cYJk)_UT2H&n$DWgX4CI3-B_8PhW(i^Zqg`ESfaAR^sE7q%cAUK?atx<fb
zy>XJwLsN|E$+Y;%7eI7&56P}7rv2(pJWFoKyAS@e2EU9g7Z~Qdl+qh4YuwL}GI1d&
z8kLTh(u>l%{Bsf0ye^2hNgPz^q1ATTxAEl+uVkloHccl#(P)tB6!me1EiNsE!2Us3
zDASykjFS`HSK<(Q9G*IYn|oHOA*S=sMw>^xd8G$5Y~LQoUSmKwnkLzR&#}bOit<w^
zDjb?~%{`CANCe*nSFgLg$ZE~85#ygFbt`HbU}2p@8U<ME*b6$=Fbd&$T#if9fzyGc
zpMzhwG#~}v`hQS#ESptD(Amq_A=P|z{%iNp*EqIxh08&uPh>H57tvdC{_zybMro{S
ziYiq^M)Px(A;(SYC!jM#c0b$Rmrg&l0LCrMixj3b%^o?mr!)UrC9q7Q<e9&;smCAo
z|3-hrDr3{HwXZ3CoEaahl=Z(r_v~nwPfnhiu@N}QA&YDxcFy8Mx&!8^c7sT~LqrA@
z+D4`1$D9k^&}&4soQ&*|#Q=Psac!edc1Wy&+tKZ6r1oyMcngev$7~_`hdt9VlP3A}
z)?T8Y#EdVChEC4F>H`7?-NO<FV-1=&|2>G@P@V`}mB3S6bD!9su1XWZVaOQ9?1mnk
zA23ktu&oey@QT~^m*Ep9e`k<L0T!3vZ;yO-p{3QjRE@O5qzx6X|KOa6J4!#O$@J3A
zo~^is0Wg!VK$2?B6-(tOv08$Gax>&$1Akm5#r2#ShkiQf>N+VN9EHg(c6m4hYo*i%
z!nqNCFpJmKbRgtDtwBJBC}=Zk-#D-cU~OqeK&KdB`CIj9ljwgzfKia>j!?O{xz|_o
z>&@C^;jlNW>C?^&I;La|ztC!t|20Z!Ch*ge<n+I9x<MK4)H`y1I0S()2C;JU>ukwt
zksX0f6&_zQ@Ck<Vb3gU>N3kv93AY>~rn&34ha#ZeMc6;*zl&ltGr*%h?&w5wM(bx7
zHfDEuTeM|6?Hhw{Da?Y8N6~-&b1af1b>uR)jar&~nz5^KfC_eAQVx(f4=%qGrhJLS
z2*iubn7VTc^JtmA=w7Cz=AiqQ!w{A*mk`QI6mZevN9IjK2TY6fO3fPwn27{;#}RN6
z<$<C#f}AOb@Q;F`QFgIal~TSM3E*!@NY(fmG(8Xk+`tVCt$UJ6<~Fdz;yMzd&|;2k
zbqoS;URP#uBQ247<J=HG49grVaOzz5HoyF{-a?A&UWRW4k+TVBG(kpQ;rP4#^Ee-I
zJ5xv_qJx`W<)*UtI??YjQYQ2oCu|t$MhK9wqX;;p!{>F9>m^$%>QpZjK3O3BGpN2H
z6R8V^gC>uJxfv`T#3w1?(gP)4W@BVXhNut}Ut9%mERlNQ9}{e~w1z%h=A^7`;ukXn
zJx%0De=XX{Rc}Pir=zXeG*jr@KD9A3E`3nS<wiov1OU*&3=}@Hhes0U<`a(Hj~0NX
z%?%|II8&D(^)g7G;=!nKkGDHV-v#|IZomlg%GR`czS{|V+&V788P%#}2MY<4cEuUV
z#j(_34C_eq^>H);n3D3Z5oAZ)Wq5Kf^Uo#gI;0b7;GTtmWy0Hd8T-69%t%>)*W%xR
z2z3kFI1??QEDEF*?V@s|W|qu*9)P9$!W-wOI~pf4(sGxdpXk5dS~oBLnT-9PX}|Tq
ezO|VDGjcr1(b^>We+s~|AjwH7euheX_x~S^xRcfZ

literal 0
HcmV?d00001

diff --git a/xor.csv b/xor.csv
new file mode 100644
index 0000000..9f2ed6a
--- /dev/null
+++ b/xor.csv
@@ -0,0 +1,501 @@
+x,y,label
+-1.5397817344408842,0.9508224143619648,False
+0.4362661571179256,-1.7683235769838408,False
+-1.4664361432560469,1.3918900453164205,False
+-1.037641520138605,-0.9535871918024625,True
+-0.6914437767554409,-0.2198256842848143,True
+1.4365499637943908,-0.04602736652665396,False
+0.664360852392103,-1.234409857666373,False
+0.1646488491336151,-1.8484530086065685,False
+-1.8839447023025584,-0.2220880865726027,True
+0.9349931851211317,-1.0818933094162104,False
+-0.4201999262759766,1.9600121970427207,False
+1.208188474514666,-1.6599473226739514,False
+-0.9823154965604828,0.7878214751325445,False
+-1.7724602533953928,1.2869837702808171,False
+1.466594563596801,0.14355539500596004,True
+-1.1158840164625148,-0.5597440637114297,True
+-0.3800422078109613,-1.822585080142117,True
+-0.7356141159271652,0.37138999669789596,False
+-1.693349200014211,1.297009650093849,False
+1.3728987769188183,-1.1295783528258845,False
+1.3957565909794458,-1.4573976633370465,False
+1.8858603657415518,0.4203140635011846,True
+-0.4584923424194476,0.14969904907710685,False
+1.8179525004346608,-1.474777461059508,False
+-0.21696655664112452,0.3174978029485218,False
+0.6788986068872309,0.5600159510983156,True
+-1.6699998012113784,-1.2032752582138415,True
+1.5883943199261372,0.6698153354115948,True
+-0.8079859972449492,0.9569004775802052,False
+-0.9507807096144743,-1.1794704381921592,True
+-1.9794818037421722,-1.0291740427540894,True
+0.1728100611216239,1.0174304210822651,True
+-0.09761453197098735,-1.6334143128584722,True
+0.5454947102860905,-0.3274246911792762,False
+1.9128165363280245,1.2368959526745793,True
+1.634651031324351,-0.7135494082189227,False
+1.6406123031206263,-1.5106849760163557,False
+0.10102268442858175,-0.4606417625391388,True
+-1.5839242005809484,-0.11289921588115615,True
+-1.276341618968396,-1.1405779834289853,True
+1.8121608839469663,-1.9622407015009733,False
+-0.35218806645456535,-0.5421347820540059,True
+1.4600684824287269,-1.4813447252492953,False
+0.6887091179047045,-1.355343161084777,False
+0.5151431835286449,1.1330260748850627,True
+-0.8977648934041915,-0.2429867918508153,True
+1.5869890789634504,-0.9901618526814677,False
+-1.1724345146265391,-0.8816495803561231,True
+-0.3823790276983696,0.5885140606436359,False
+1.974289969576414,1.6921710376619399,True
+0.942908326028483,1.9857113288137151,True
+-0.2197543500412693,-0.07324858366067577,False
+0.24265267777493982,0.30789786904508665,True
+-0.3549780436534591,-1.8681338652369548,True
+0.9079519678719539,1.9388465987132038,True
+-0.40321245638370096,1.9657567440509687,False
+0.6805806588095273,-1.0436489825565918,False
+0.8188624315221658,0.7101057622974802,True
+0.43823948503618304,0.9500281025310424,True
+0.16013785672662406,0.7890505263133534,True
+-1.1756725963467929,0.225787546568065,False
+-1.2033540935091924,-0.040512498444253975,True
+1.1829554592641767,-0.2664742733817351,False
+-0.8386688889169736,0.2951835840579782,False
+0.6238513112954154,0.7947275571467505,True
+-0.8015328967719006,1.0774179071972148,False
+-1.422086486308685,0.6000106108769283,False
+-0.384173332078122,-1.261085486011766,True
+-0.758921892621641,1.3707507604476232,False
+-1.026407934876151,-0.7199740520348579,True
+0.3524161706335045,-0.8827182290383977,False
+-1.0186269881465608,-0.8662684264960583,True
+0.9910824471714523,0.016872246685317727,False
+0.8805865914168916,0.8199867075054517,True
+0.7810434678203717,1.0599976467502659,True
+-1.5890288857071533,0.8324191718133704,False
+1.7745697127371645,-1.817905921316806,False
+0.013358531571127319,-0.5741857598730764,True
+1.598694477469651,0.8095001513715454,True
+-1.2056804622547443,0.23138038924714222,False
+0.3777967472737229,1.7802215297050807,True
+1.8616343267090532,0.6590321372092607,True
+1.994792983586748,1.7050376784002688,True
+-1.9033255000778215,-0.89197939188815,True
+-0.07478666617873353,1.0855131030986809,False
+-0.8343092413055682,-1.4567144216069852,True
+-1.7451177267307418,0.7658773042605422,False
+0.27849759577223576,0.5270606384793068,True
+-1.9796668612031438,0.6686577005624699,False
+0.44511035868008664,1.3578751656999057,True
+1.480725908138358,-0.020437205211805143,False
+1.534405859895557,0.7473814955228528,True
+1.8172779327841533,-0.8628040155903243,False
+0.9594552792138966,-0.0805777427980443,False
+-1.2611481698036449,1.556849337838134,False
+-0.26128671565277894,0.7592655642162276,False
+1.5435979821914936,-1.6147019232152502,False
+-0.9798148786608141,-1.5947204825122925,True
+-0.2267492210840638,-0.1316473159378,True
+0.4677479032835805,1.446171867330584,True
+-1.5865899564873822,0.1502839101390614,False
+-0.03956135572374997,0.39198322543612907,True
+-1.8211823902570123,0.5180825298955978,False
+-0.753490122763397,-1.357730083957343,True
+1.0081587454641001,1.2719979115396192,True
+0.8619963461122588,-0.0046470880135558446,False
+1.766216975033268,-1.6821219799641791,False
+1.1075814668350779,0.11447647116810522,True
+-1.1390859400512552,-1.5477888745039494,True
+1.6198847225330022,0.9455911404489941,True
+0.20905658804561433,-0.3398489290590261,False
+1.379591550307425,-0.7082537742584387,False
+1.689957935092162,-1.4308500342302066,False
+1.3158451157565674,1.4851609214276653,True
+-0.4232080081610947,-1.7723526158242993,True
+0.39275254632850665,0.5254672771110531,True
+-0.2692076817455993,0.7525972210309693,False
+0.7765885429878034,1.8695612357705849,True
+-0.06125404158549408,-0.5981501899668231,True
+-1.486958633695707,0.5963266290421725,False
+0.5774819864552545,-1.0670817150680487,False
+-1.1811751353173792,-0.8232763506037348,True
+0.9798285021289184,1.2183777424704871,True
+-1.5775311743896694,0.15058744011194136,False
+-1.970762025104301,-1.9673358763881938,True
+-0.6620440337882707,0.2350496380788174,False
+1.8770220153242234,0.3087838787131112,True
+0.8039027577332174,0.16733149805562553,True
+-0.34525786106665457,-1.0986698258435679,True
+-1.5169913179368502,-1.7412385281045175,True
+-1.7585458225937853,-0.7408154891201559,True
+0.9048466950431004,0.15327706632379146,True
+1.6218039372538944,0.5027606948746781,True
+-1.9358963282715242,-1.1464562355929226,True
+0.3365633228543472,0.8462480809843878,True
+0.9144162008342058,-1.8164207790679154,False
+-0.8312098228959672,-0.6110803827532725,True
+0.09119046530897457,0.10902849056605968,False
+1.2594075450024707,1.312562209994102,True
+0.3853079207074628,1.0565075676268307,True
+-0.4857786421937207,0.504100799124414,False
+-1.6897687780201163,-0.4125028155154502,True
+-0.052375295071654726,1.7890482531239869,False
+-0.12722437572029932,-1.5130949197372034,True
+-1.2738609730825976,1.7479642861368831,False
+-1.7194562621470513,0.5507999292652923,False
+0.03360372858562588,0.8494511343447,True
+-0.6725930606748878,-0.2683766937329435,True
+-1.1420087186123422,0.04218818899897414,False
+-1.621372423142255,0.490896551091875,False
+1.3517221146788678,-0.47860759769089967,False
+-0.5795501183969423,0.6701129096727203,False
+1.3071402888896526,-1.6136262023021963,False
+-1.89615092307222,0.1349978663023359,False
+-1.9910416913865876,-1.6072777195093098,True
+1.6976710052574662,-0.266149662645776,False
+0.6957330040304872,1.8668058066882973,True
+1.9792583204248335,-1.4724558993873442,False
+-0.08197991423732853,1.624644905622485,False
+-1.3634500137840746,-0.6442290392445638,True
+1.8091322111135848,-0.43311182971584206,False
+-1.3357193058220127,-0.5677687041087771,True
+-0.522858771827786,1.4912020622091462,False
+1.738239935481099,-0.9002928671758226,False
+-1.6734354550994093,-0.17524385235631224,True
+-0.18415154154447144,0.8640482067496227,False
+1.5491623666420136,-1.8944388393237195,False
+-0.7223797588574503,-0.16868157974133835,True
+1.8506317508628447,0.46619474803876537,True
+1.989490401393954,-1.7615930639883475,False
+-0.055937903760514995,1.402056750826707,False
+-0.7148336462639473,-0.8014032842244792,True
+1.8937559923273741,1.718717772736802,True
+1.9948741452355425,-0.5296731909774315,False
+-0.21914759947102436,0.7338811038819273,False
+-1.8210172182326905,1.0581830775156371,False
+-0.21175550601034665,0.8803492112481162,False
+0.8406991991882249,-1.407582253702635,False
+0.5042853105201686,-0.4327540461453454,False
+0.6825990808450029,1.6884241324153093,True
+1.8876754393867694,-0.8162028722733679,False
+0.6478849635433432,1.9851793031960812,True
+-1.6341991905693471,1.2424947252008032,False
+0.35892404083851126,1.6151924081107372,True
+-1.1536759743749299,-0.10273053992448888,True
+1.1803025399982539,1.1285829864104313,True
+-0.5987760710885901,-1.3098478917256564,True
+0.009745910572625416,-1.0977548551034935,False
+0.8141565845263679,1.5842541367372838,True
+-1.313489296328246,0.6350990904674325,False
+0.4042377645287516,1.0048670937649171,True
+-1.3598615570437667,1.9964520127598946,False
+1.3063136053823659,1.4776979932649494,True
+-0.6691934860299273,-0.26837911165079076,True
+0.18678874646637222,-0.24657649751027133,False
+1.3228424185693526,0.603660300312328,True
+1.8762682485590942,0.9505303262563474,True
+-0.6898600892049704,0.4661023956282411,False
+-1.6465047215531765,-1.17030549068927,True
+1.8539564951183225,-0.5151356545120609,False
+1.9572137747418341,1.6087476136265617,True
+1.676308348223981,-1.2285277836725448,False
+1.4019427602133288,0.9996815088056428,True
+-0.025229029886423504,1.4268230994558166,False
+-0.1255337674896615,1.0703475589501013,False
+0.23581122440241264,-1.2790468292878212,False
+-1.572391180478128,-0.7311139027725808,True
+1.594948365446621,1.7800837232595583,True
+0.46058882995428885,-0.7200582817882735,False
+1.968183257636559,1.6423505485604575,True
+0.7703055899417,1.0636581780096157,True
+-0.5810605928135506,1.7956920650638066,False
+-1.3061465609407068,-0.37770873690088225,True
+-1.8153277691657168,0.08791919930078818,False
+-0.6928411799008702,-1.871394097323822,True
+-0.5768222947500306,-1.4056723834194877,True
+-0.08245115963282057,0.3140695624320382,True
+0.635912499211535,-1.8764017794887113,False
+-1.6562311529997524,-1.8544058544432676,True
+-0.8142175525936235,-1.2033746339125426,True
+-1.1863074567132799,-0.3009375411877606,True
+0.6086389490118398,-1.395530316823666,False
+0.3086254777164328,0.1505367590654041,True
+0.7272085456607722,-1.8189261373787922,False
+-1.1322801151125161,-0.6070043280589879,True
+-1.9109210066390574,-0.6007227573502876,True
+-1.8441033043409623,-0.7588918996281064,True
+-0.17314484149177334,-0.8444652853441244,True
+1.5104403902431698,-0.10506085808227006,False
+0.15662874353403122,-1.440053840243014,False
+0.10197313266807173,0.28902662219069386,False
+0.17690510283553884,0.6309254399767603,True
+0.06567591111753046,0.43475692579788605,True
+1.5454094380946266,-0.5543989857379583,False
+-0.3592224057339748,-0.30489185801518603,True
+1.2780872276188662,1.7589198933863788,True
+1.3288680174518475,0.6297002008120485,True
+0.3767239665597182,-0.43454055978617934,False
+-1.206333285057081,-0.49917581739400285,True
+1.1012171164497588,-1.4540831985627851,False
+-1.9782747744188485,1.4407063130055482,False
+-1.789014625866323,1.6104611045975612,False
+0.32459967291643776,0.17960400682833022,False
+-0.9921062046072007,0.9459990078780884,False
+-0.9433122504636855,1.2033653702883842,False
+-1.8239469808544717,1.6570456532263216,False
+1.5872834672200362,0.0037321815601676356,False
+0.22979413529764647,1.7518504509893873,True
+-1.9055912272625157,1.2772794835261658,False
+0.29061751019200033,-1.5129069491519593,False
+0.8120431210619437,0.03976797544214827,True
+0.8590222796983658,1.2742561799250258,True
+-0.21587137349670682,1.9945798299550166,False
+-0.29972339081421717,-0.6411638040406915,True
+-0.8932280802669195,-1.0557424201679098,True
+1.777678169753223,0.5504122409598509,True
+1.15783163165126,-1.8960225138671336,False
+1.9675929299521493,-1.7013681180143978,False
+1.6316307380172117,1.0234605306315072,True
+-0.3702858613662334,1.482881504833748,False
+-0.25294245660854875,1.374486113646265,False
+0.49426151826241194,0.15495332737497636,True
+-0.7028485386007941,1.6221099215896762,False
+-1.8696555051037538,1.8553488949610513,False
+-1.3423313581117515,0.4879468433979186,False
+0.22520639534695208,0.693330427020006,True
+0.1481796166542444,1.6144474295625764,True
+1.8872387822683243,1.1015355819659738,True
+0.1264302559082613,1.5209677206116115,True
+0.6698839387810702,0.3966767497207835,True
+-0.9149418738547124,-0.6994319465451451,True
+-0.4281067220326986,-0.4289950541364318,True
+-1.719084804218023,-1.0936501099603233,True
+-0.22460530086459896,-1.9562154260119469,True
+-1.2047503158859487,-1.941717675899457,True
+-1.7496171168283419,1.3191791733885831,False
+1.1732579870338218,-0.6552138081468977,False
+-1.438077485670481,0.4998018801007236,False
+1.5726414979719578,0.2336700380415393,True
+-1.2698580943151967,-0.3226466156710943,True
+1.2436093965851218,-0.8398188996717222,False
+1.507321130593136,-0.2986269285670038,False
+-1.96453636107695,-0.0801355052363637,True
+0.4698043050058365,1.4775123192861432,True
+1.2392543613949938,-1.0016469048804484,False
+1.7118522547028467,-1.6487786823358768,False
+0.3322821262657456,1.9316168057057297,True
+1.1340054031566646,-0.16380949872990902,False
+0.01871606361814493,0.9584751915038283,True
+0.3147840994693243,-1.8988266908764282,False
+-1.0573854110321776,0.639966852711249,False
+-0.2873875991111241,-1.712337058752206,True
+0.6003962494012747,-0.4697323791745309,False
+-0.8702366228668388,-0.0010950333862376205,False
+-0.24598679487180064,-0.5206508314471003,True
+1.7796103785115895,-0.7399702877348546,False
+-1.5724388157002722,1.656602915193635,False
+-0.39749890731740356,-0.9085798765299415,True
+1.1793115738580138,-1.1311426335278725,False
+-1.5887994371971863,1.9171187373906742,False
+0.21435789641832415,-0.3320915396277706,False
+-0.5964023941859673,0.4918406320660238,False
+0.11409628471973621,1.635537225561578,True
+-0.6863972282955721,0.8360898541675845,False
+-1.693563890352193,-0.3187290686078539,True
+1.5788963156497364,1.5020774968604353,True
+1.9343002778139509,1.1624372795044415,True
+-0.2960207299806976,1.530285086943568,False
+0.8208814062345424,1.112476702009522,True
+-0.31434751911539216,1.2492188544311906,False
+1.053197441891422,1.7473793430695856,True
+1.1902327910327188,-1.0919991720421351,False
+-0.7680832056293738,-0.020775936981825893,True
+-1.8263053823309057,-0.21799870526260312,True
+1.981425194372461,-0.9861665922955405,False
+0.8151296862287558,0.1609745307765027,True
+0.889542524576354,-0.303288624890242,False
+0.6049848181980919,1.0938474211244813,True
+-1.7380331082040916,-0.760485738715373,True
+-1.79189662486564,0.7754563248984421,False
+-0.04054313687376698,0.8067867783670466,True
+1.2237723204139148,-1.8207118162507534,False
+1.9164711822945844,-1.3281460834684164,False
+0.3282180401882382,-0.8535725992846128,False
+-1.6264418522120159,0.9163866732295842,False
+-0.600299534982534,1.6313420387306472,False
+1.77164189075694,1.4121077920949476,True
+0.6230550458503705,-0.4473610352313715,False
+-0.2662118613149467,-1.141870877375684,True
+1.8457013278030168,1.4309800862232183,True
+1.0193004977633424,0.503310057658735,True
+-1.3434512236039495,-0.7525569666077847,True
+-1.4256839325655455,-1.6256315950200366,True
+0.6220531428748228,0.12367591128466238,True
+1.918961587422222,0.9890851771701006,True
+1.2420555579196413,1.8393072512008648,True
+0.8640419503905381,0.3471613132393703,True
+1.0789629966248069,-0.36917205953593957,False
+-1.3483364829372428,-1.6397622394048437,True
+-0.04500794690700127,0.3604625961045107,False
+0.4446300193039616,-0.7899988584003017,False
+-1.242573968585753,-0.1095104502262938,True
+-1.7841194182574238,0.2935419172526612,False
+-0.9537898021231412,1.5346002204876839,False
+1.5504705951252955,1.920691894231874,True
+-1.8349532350208038,0.6436300301622273,False
+-0.8472695191529298,1.2052217751288374,False
+-1.6241625553868593,-1.9382441809939985,True
+0.7233678011291156,-0.71151809271882,False
+-0.9919120403275898,0.3384943719956719,False
+-0.020580107363003197,-1.4175101650812705,True
+-0.8167237445412767,1.2320911760619278,False
+1.5262395820452488,0.2944395609462904,True
+0.8858985575766427,1.8322726208084297,True
+-1.2099109155843522,1.850149893874045,False
+0.4784487113850804,1.1085073344109215,True
+-1.4596256748909298,-1.5851185999194928,True
+-0.8086743961540388,-1.4974335088198254,True
+-0.544199938180598,-1.9774820275926044,True
+-0.3623606212509447,1.0711001125556958,False
+1.7409135923097891,-1.509773119995312,False
+-1.798189189767049,-0.5835667521376964,True
+1.2359487744833801,-1.103802253569833,False
+0.5014452086676404,-0.4105131268431328,False
+1.2759168106195253,1.6225255968467378,True
+-0.9510818565858541,1.5080616597785577,False
+-1.928409682261294,0.7627893511286454,False
+-1.681959367063862,-0.06511067553331351,True
+-1.6785497488146452,0.9750150137174178,False
+-1.3227636929178508,0.8840085529661126,False
+-1.3045995991997374,1.5564048982076542,False
+0.7742367574366256,0.8029698788455364,True
+0.6798818591412128,-1.5397838022005268,False
+-1.8730201941042637,-0.06891473294930339,True
+0.25538855806099026,1.8688728712489784,True
+1.7205647546800762,-1.233972496697695,False
+0.29320185124544995,0.9502008393025192,True
+-0.279113260624853,-0.7710728413197177,True
+-1.4006998143311606,-1.396357537653775,True
+0.5480520590991884,1.7932190314450263,True
+-0.45179271813086963,-0.15223699313090622,True
+-0.7969796077527729,-1.8164580858981347,True
+-1.5357090405011355,-0.7212898693306973,True
+-0.7927061089006839,1.44902619437058,False
+-1.3211386984105102,-1.2197594931454492,True
+-0.6159350847745584,-1.802185477735367,True
+-1.242983887047024,-1.3204013591854493,True
+0.6585728499498131,0.5780545392386158,True
+1.2982288274143987,1.9612972441850118,True
+1.0306037064872293,-1.4459673811720029,False
+-0.3221196085686606,-1.5305978466484027,True
+-1.025342531378913,-0.9424575231087768,True
+0.2764409732592825,-1.4519561904204727,False
+1.5926233514162544,1.4235901306125571,True
+0.9654682932221865,1.090230638221589,True
+0.7717981812784696,1.271689449878746,True
+-0.5011695790705519,-0.20612711070455525,True
+-1.2946925538438592,1.8631914756538763,False
+-1.3172595320907141,1.1580453591158735,False
+1.9730107953637779,1.793584644529227,True
+-1.3438736488645162,-1.3468832684673795,True
+1.3706885157161177,1.0290666751832749,True
+1.1124153176254676,1.4470054330471815,True
+0.2512000626541129,-0.8842293536470276,False
+1.6513245578446027,-1.6493336575091,False
+1.663073567286748,-0.23204895219254995,False
+1.4090637165977857,1.2191551943206433,True
+-1.3577446341480655,-0.003820864945547786,True
+-0.6849551595084291,1.4605903486611895,False
+-0.044264263795596115,1.625260265363638,False
+-0.4203126203915617,0.12411323770242921,True
+-1.5972919170489357,-1.963731547113854,True
+1.391960062285762,1.0430704131140685,True
+-0.8349357279901022,0.7006057905133538,False
+-0.7307101955249005,-1.2753352210149318,True
+1.1073586145336876,1.356598025436576,True
+-0.6387537558404102,-0.8966647624133977,True
+1.255451374196379,1.200047245332276,True
+-1.5307674789291794,-0.20221066130708376,True
+1.088497088028248,0.5356784812668556,True
+-0.5424831510109773,-1.856631352574789,True
+-0.9276665398368507,-1.4924632818206502,True
+0.36848325698558915,-1.0320930216485213,False
+-0.7697202668675769,0.9504826908485278,False
+0.5756286359511456,-0.27026099891387734,False
+0.8641747190062934,0.14714763804742192,True
+1.5718106291647564,-0.7097426951834986,False
+-0.7212143282226071,-0.28894380926000496,True
+1.7275235751636635,0.5333869414300247,True
+1.9433064010639312,-1.2634709360509966,False
+0.2726197606158993,-0.32187972282676247,False
+-0.5223497366616181,0.7092493910121163,False
+1.8394567784325795,1.3942599648186302,True
+1.2244769689304467,-0.3331129902666876,False
+0.2571093881467581,0.9566966827934569,True
+0.7166332682137071,-1.7043915657203321,False
+1.342784797432392,0.17495637998508595,True
+-0.8241133704127925,-0.6436018301855695,True
+-1.520277376354986,-0.21161397285938843,True
+0.07939695610491126,-1.3681304814074875,False
+-0.21012735901193658,-1.3855261101669272,True
+-1.2239020509178204,-0.047144768287329164,True
+-0.37821309231976397,0.5568189335502698,False
+0.00309011209054022,1.4139895615084992,True
+-0.03469765735068098,1.6950055883965502,False
+0.2266415499025478,0.9013122574642569,True
+0.024902849629104384,-0.6450282980008195,False
+1.3140426818647226,-0.35548963086391616,False
+-1.7862181193625797,0.45809368396443473,False
+1.821679708200266,0.9859809564503843,True
+-1.5370764892108895,-0.05570115016461452,True
+-1.8552568962124925,0.6930648213727904,False
+1.8418936852211933,-0.7794822391800853,False
+1.4445172070420784,-1.3909073571465371,False
+1.83742582315416,-0.341266820618213,False
+1.9794396830524028,-1.8070950140808697,False
+0.34055867040126797,-0.5612477538253007,False
+0.19473125656518464,-0.5084613528236104,False
+-0.958683739976701,1.766792988632488,False
+-1.5244519236373977,-0.7234655137204768,True
+1.2327162871482211,1.4164406978314625,True
+0.7478543467135932,-0.3682226944837157,False
+-1.192722299164958,1.5260321148347642,False
+1.5597405424507684,1.6746909589414987,True
+0.07613780471361498,-1.8761256064882663,False
+-1.2195303748894037,0.26957782127145125,False
+0.002730343469182994,1.5401255091772872,False
+-1.5340294644312484,1.1800680093898124,False
+0.4031607119417977,-0.4068777467398852,False
+1.2730156807432378,0.48998300927642147,True
+-1.0369208205792892,-0.7765682494615667,True
+0.23285391889683327,0.3781759948088421,True
+-1.3106118524922308,-0.18198436760138703,True
+1.1705380900290518,-0.24798647665167994,False
+-0.8094749164063373,1.360359589753592,False
+1.8790763034896498,1.0864931905336936,True
+0.28162791288630906,1.7523225772306747,True
+-0.4143874995481984,-1.879694378205203,True
+0.30106186189840534,-0.5352035060211264,False
+-1.9437523477559515,0.3033525363642915,False
+1.1921393375204996,-0.9200258833489974,False
+0.4470269242913858,-0.7806089365348545,False
+1.6422412987531372,-0.8153932300311633,False
+1.7940534563122608,-1.0675168083652884,False
+1.2437596341531592,0.912272417023873,True
+-1.6819202420885033,-1.1775522518122266,True
+1.9213050490940526,-1.4471858190818905,False
+0.9650908275163643,-1.2404743134026779,False
+0.9052184748534149,1.3648531708077796,True
+-0.46867574949113733,-1.2072151848791681,True
+-1.6975671616814383,1.3077938366310877,False
+-0.09488048003963678,0.7050004973892983,False
+-1.7756567092023205,1.3926200539433125,False
+0.30512466792490045,1.9139916163547088,True
+1.1296982623382998,1.4882064545669493,True
+-0.07733351728328763,0.5587770482671326,False
+0.02830965214754455,0.04221384233253689,False
+-0.8165477691450507,0.8631091390365451,False
+-1.9478493715378047,-0.7132276427342799,True
+-0.10506090636414767,-0.46349684494845667,True
-- 
GitLab