{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" }, "tags": [] }, "source": [ "# Expanding the measurement of culture with a sample of two billion humans" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" }, "tags": [] }, "source": [ "## Replication Data and Code" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "This notebook provides all the steps to replicate the results of our paper [Expanding the measurement of culture with a sample of two billion humans](https://doi.org/10.1098/rsif.2022.0085) published in the *Journal of the Royal Society Interface 19:20220085* (2022)." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Robustness Analysis\n", "## Robustness to Population Size and Facebook Penetration" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Setup and Pre-requisites" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "-" } }, "source": [ "Let's start by importing the required packages" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "#%pylab --no-import-all\n", "%matplotlib inline\n", "\n", "import sys, os, time\n", "import numpy as np\n", "import pandas as pd\n", "pd.set_option('display.width', 160)\n", "import matplotlib.pyplot as plt\n", "import matplotlib as mpl\n", "import matplotlib.patches as mpatches\n", "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf\n", "from statsmodels.iolib.summary2 import summary_col\n", "from sklearn.metrics.pairwise import cosine_similarity, cosine_distances, manhattan_distances, pairwise_distances\n", "from scipy.stats import zscore\n", "from scipy.cluster.hierarchy import dendrogram, linkage\n", "from scipy import spatial, stats\n", "from scipy.stats import zscore\n", "import MantelTest.MantelTest as MantelTest\n", "import re\n", "import seaborn as sns" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Let's setup our paths" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "pathfb = './data/'\n", "pathfbor = './data/OriginalData/'\n", "pathregs = pathfb + 'Regs/'\n", "pathsamples = pathfb + '/DemographicData/' \n", "\n", "pathout = pathregs + 'Robustness/'\n", "if os.path.exists(pathout) == False:\n", " os.mkdir(pathout)\n", "pathshare = pathout" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Import Data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/ozak/anaconda3/envs/GeoPython39env/lib/python3.9/site-packages/openpyxl/worksheet/_reader.py:312: UserWarning: Unknown extension is not supported and will be removed\n", " warn(msg)\n" ] } ], "source": [ "# Type of distance measure\n", "m = 'Cos'\n", "\n", "# Import all data\n", "df = pd.read_stata(pathregs + 'AllDistsFull.dta')\n", "\n", "# Import all distances\n", "mypairs = pd.read_stata(pathregs + 'AllDists.dta')\n", "mypairs.drop([x for x in mypairs.columns if x.endswith('uk') or x.endswith('usa')], inplace=True, axis=1)\n", "mypairs.drop([x for x in mypairs.columns if x.find('cognate')!=-1], inplace=True, axis=1)\n", "\n", "# Import samples\n", "sample_all = pd.read_excel(pathsamples + 'SampleCountries.xlsx', sheet_name=1, keep_default_na=False, na_values=[''])\n", "sample_wvs = pd.read_excel(pathsamples + 'SampleCountries.xlsx', sheet_name=2, keep_default_na=False, na_values=[''])\n", "\n", "mysample_all = sample_all.countrycode2.unique()\n", "mysample_wvs = sample_wvs.countrycode2.unique()\n", "# Drop countries not in sample\n", "mysample = mysample_all\n", "mypairs = mypairs.loc[np.logical_and(mypairs.ISO_CODE_1.apply(lambda x: x in mysample), mypairs.ISO_CODE_2.apply(lambda x: x in mysample))].copy()\n", "df = df.loc[np.logical_and(df.ISO_CODE_1.apply(lambda x: x in mysample), df.ISO_CODE_2.apply(lambda x: x in mysample))].copy()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Correlations Between Facebook Distances and Other Distances\n", "## Graphical Analysis\n", "\n", "Let's plot the correlation between all measures and our FB measure" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Pairwise correlations full sample\n", "\n", "#### Pearson Correlations" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "SMALL_SIZE = 24\n", "MEDIUM_SIZE = 28\n", "BIGGER_SIZE = 32\n", "\n", "plt.rc('font', size=SMALL_SIZE) # controls default text sizes\n", "plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title\n", "plt.rc('axes', labelsize=MEDIUM_SIZE) # fontsize of the x and y labels\n", "plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels\n", "plt.rc('ytick', labelsize=SMALL_SIZE) # fontsize of the tick labels\n", "plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize\n", "plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [ { "data": { "image/png": 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fRc3JDElfMLMNU9KsW3Ypum0vkzV1rFtTNqysV0kpagEGkZW1znq5pDrNQfuVf46wr/2lh+env1919/e7+9UFtW+N7EsF+tmutw/xzGdfUhO9C9LHvbX884KZs9V5bnAymoiuiPK1VFuXphreU9SpFf1dPzO6+3nu/v/c/XGK2sUXKco9T/HKkn5N1fGUnR+qjqWyeZo8nwDoQjAIoEr2fNjBfc43V53alItK0jTeLMvdx9z9LMXrLO5XNHPaNU27T9HboRQBY5knpb8XNl2+Iu7+H3Weo3mD1Xw5d9eLlrOy7l3xAuZsvf5Z8bzPwNz9WnUu3p7bYNZZsFW4H1m8ePuhJfNmwf+gNRzZdp02+0vOOelvPhg8u4/pdQy7/aa7zXL/31+aagipU623p4/Xa/mAvS/ufo+7f0/xrk9J2qXr+d8639cwx9Mwzkt/n97HPNnvz95Vz4MDGA7BIIAqx6e/u1Y0uZQkpeZomexl55L0qIK0m2j5Z1b6lmofy9ynTnPGfBO/rOfHw1MZuvPcX9EMS4p3JE6WdyleM/AQSSemZ7xKmdl/Sfqf3KhsvbZXp0Y2n34jxXvupNGu1/Hp72vN7JFliVIvtnWeQZXilQJSwX6UfETlF79Zj4x1l9Ut265PM7PHdE80s+3V6XF0MvcXqRPY7aN4XvAedTpzyk/fX50m2f0Gg9n2W7f/4q0QslqyJYpXPzTKzGYoXoGTbf8P5Drn6jVv1fltaZZM8Y6+TJ3va5jjaRhZk9z9zeyAmvP8ULFfz1R0claq6/cHQB8IBgGUSl2A/yR9/LqZvT8fRJnZemZ2kJn9TLnXErj7YnXuBH/dzHZK6Vcxs/3UacI2jBPM7Btm9lQzm50r03zF+8NmKi6a8s2yPqfoMXWWpF+b2a5pnlXN7GBJ30vpTnf3MzRJ3P2vkl6nCKCfIekiM3tJ/jkmM5uTekw9U9L3Jc3Ozf87SVl37V83s+elGgmZ2S6STlM0MbtZ0qdHuCrHKJ6JWkvS2WZ2mJmtnVuHzc3svxVNHJ9TM8/fpL+vMrOXZxfJZraFmX1T0WyurFOOKxU1PnPS99uv70v6W/r/JDN7clbzmvbjkxUdZVwq6TsD5D+M3ytqgrZQNOv7o7s/WLvl8eqUfyp60J2laBp8WZ/LuDT93c7Mdh+6xNNAuhGxpZl9RREoS9EZy7Kq+fpcxtZpP79InVq8r7n7l/vI5hIz+4iZ7Zbb583MHqt4b6Mk/aWr+X32fe1pZg8ryXeY42kYp6TBJP3YzN5gZuumZa9uZo8ys2PN7NnZDO5+u+J5cEl6mZn9wMwefGWFmc00sz3N7POK52gBDMKnwcsOGRgYRj+ox0vnK+ZbS9F7neeGuxR3mPPjvtE13+6KO+7Z9MW5z7crarBcqS+HrnnPUo8XOiveXZblPa64gLknN+4BSS8tmO+x6ryAPXv59NLc54slbVix/d5XUaae5e6xrZ+tCNjy2/VudWpas2GBul5UrniG6KJcmqVd890h6XEFyzy8zn6hzkvn9+mR7qHqvDDbFTW0t3ftCy7psDrbV1HzcW7X93pn7vO7q7a74sZAfr9dkIbn1fne0vosyOVxT9d+9i9JDy+Y733q8QLwOvtUj219Ya4cRxdM/3Ju+o8r8snSzC+YdnZu+u257bdHnfnT9PlZmgHWMcu79jGl6pfOd++Hp0iaOUS5Fubyvk1x8yGf/52SXtfvPpD21fw+f7uixUM27lZJO3bNs5qkq9Q5J96S+74eMuzxpBrniqr9XlFjeVZuWWPp+xmr+p4VLSfGc2nuKZjv2kGOIQYGBl46D6AHj+dUnqN4Du8niudeZikuKq5SvFD7eYquz/Pz/UnR5PIkxcXGaoqLky8pXmZ88ZBFe7uktylqxK5J5VlV0a3+NyTt7O7fKlifPys6JDhOUXOymuKC6HxJb5W0u7vfMmTZBuLxvrStFbWEJyteWzAjDQsUzRZfLGlbdz+na95bFdv7LYp1uV+xTa5U9Oy6vbtXvbexqXW4StJjFPvDmYqLtnUU2/hvilqNvSVN+G5K8rtP8XxpVus4nvL6jaQDPXqUrfJqSR9VNANcQ9GBxZaKl1nXXZ9HS/qAOs+cKv3/QcUF+VT10Hl2yf9F484pmF7HcxVNHa9VbLNs+1U2ZZ5Gul86P0MRuP1KUQv2dB+uVnCdXN5rKfb3ixXnoJdK2tTdPz9Avgcp9ts/SLpBse3vUxxDxyiO57/lZ/CoGd5PcWxdr1j37PuakdIMezwNzONVGE+SdJik0xXbam1Fa42zJb1J0s8L5vuQ4hj8suJ8ZoptfaMimH+N4uYjgAGYu091GQAAAAAAk4yaQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABooRlTXYCmzZ071+fPnz/VxQAAAACAKXHBBRfc5u7zeqVb6YLB+fPn6/zzz5/qYgAAAADAlDCzf9VJRzNRAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABooRlTXQAAAAAAQAGz3mncB86emkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaKEZU10AAAAAAFgpmNVL5z7actREzSAAAAAAtBDBIAAAAAC0EMEgAAAAALQQzwwCAAAAaKcV7Bm/plEzCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC3UdzBoZhub2afN7GozW2ZmN5vZL8xsv0EKYGaHm5n3GBYPkjcAAAAAoFhfr5Ywsx0lnSFpgzRqkaS5kp4p6RlmdrS7HzNgWe6XdEfJtHsGzBMAAAAAUKB2zaCZzZL0c0UgeJGkHdx9jqT1JB0rySR91Mz2H7Asf3T3jUuGbQbMEwAAAABQoJ9moq+StKWkxZIOdPdLJcndF7n7UZJOSuk+2mgJAQAAAACN6ycYPCT9PdHdry+Y/on0d2cze8RwxQIAAAAAjFKtYNDMZkvaJX08tSTZeZIWpv+fNGS5AAAAAAAjVLdm8JGKZwIl6dKiBO4+LumK9HG7AcqyvZldamZLzexuM7vEzI4zs60GyAsAAAAAUKFuMLhJ7v8bKtJl0zapSFNmriLoXCJppqTtJb1J0qVm9uIB8gMAAAAAlKgbDK6V+39pRbol6e/afZThBknvlbSDpJnuvkGa/xmSLpM0S9IJZrZXWQZmdoSZnW9m59966619LBoAAAAA2qluMGi9kwzG3U9z9w+4+6Xufl8ad6+7nyzp8ZKukrSqpNL3F7r7l919V3ffdd68eaMqKgAAAACsNOoGg4tz/8+qSLdmQfqBuftCSR9JH/cwMyI9AAAAAGhA3WAw/5zgphXpsmk3DlacQn9Kf03S/AbzBQAAAIDWqhsMXi7J0//bFyUws1UkbZs+XjZkuZbLOve/l6YCAAAAANRWKxh097slnZ8+PqUk2e6S5qT/fztkufIem/v/Xw3mCwAAAACtVbdmUJJOTH8PMbOiV0cclf5e4O5XFEyfwMwqO6Yxs3UkvT19/LO701UoAAAAADSgn2DwS4qaudmSfmlm20mSmc02s49Lem5Kd3R+JjObb2aehsO78tzSzM4zs1eY2Ra5eVY3swMk/UHSwyWNS3pHPysGAAAAACg3o25Cd19qZgcpmoDurHgZ/CLFOwFXUTzPd7S7n9ZnGXZPg8xsmaR7JK0jabU0fYmkV7v7GX3mCwAAAAAoUTsYlCR3v9jMdlDU0j1T0maSbpf0Z0nHuXu/zwreLOmNkvaU9GhJ8xTPHd4j6UpF4PlFd+dZQQAAAABokLmvXB107rrrrn7++ef3TggAAACg3aq7MOmoGzNNRX4FeZnZBe6+a69Z+3lmEAAAAACwkiAYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAW6uvVEgAAAAAwZZrurbPlqBkEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBaaMdUFAAAAALCSMquXzn205UAhagYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghWZMdQEAAAAATBNm9dK5j7YcmBTUDAIAAABACxEMAgAAAEALEQwCAAAAQAsRDAIAAABACxEMAgAAAEAL0ZsoAAAAsKKi908MgZpBAAAAAGihvoNBM9vYzD5tZleb2TIzu9nMfmFm+zVVKDNb28z+bWaehsObyhsAAAAA0GcwaGY7SrpE0hslbS3pXklzJT1T0m/M7O0NletDkh7SUF4AAAAAgC61g0EzmyXp55I2kHSRpB3cfY6k9SQdK8kkfdTM9h+mQGa2s6TXS/rTMPkAAAAA045ZvQGYBP3UDL5K0paSFks60N0vlSR3X+TuR0k6KaX76KCFMbNVJH0pfXzNoPkAAAAAAKr1Ewwekv6e6O7XF0z/RPq7s5k9YsDyvEHSrpK+6O4XDZgHAAAAAKCHWsGgmc2WtEv6eGpJsvMkLUz/P6nfgpjZZpI+KOlmSe/qd34AAAAAQH11awYfqXgmUJIuLUrg7uOSrkgftxugLJ+VNFvSUe6+sFdiAAAAAMDg6gaDm+T+v6EiXTZtk4o0E5jZgZKeI+ksd/92P/MCAAAAAPpXNxhcK/f/0op0S9LftesWwMzWkvQ5SfdLel3d+bryOMLMzjez82+99dZBsgAAAACAVqkbDI6yf9sPSNpC0nHuftkgGbj7l919V3ffdd68ec2WDgAAAABWQnWDwcW5/2dVpFuzIH0pM9tJ0pGS/q0ICgEAAAAAk2BGzXT55wQ3VaejmG6bpr831sz305JWlfROSWZmZc1L10jTxt19SUkaAAAAAEBNdWsGL5fk6f/tixKkF8Zvmz7Wbe65Zfp7gqS7C4bM/6XPAzUjBQAAAAAsr1Yw6O53Szo/fXxKSbLdJc1J//92yHIBAAAAAEaobs2gJJ2Y/h5iZkWvjjgq/b3A3cuakS7H3ee7u5UNuaQvS+Pm91FeAAAAAECJfoLBL0n6l+LF8L80s+0kycxmm9nHJT03pTs6P5OZzTczT8PhDZQZAAAAADCkuh3IyN2XmtlBiiagO0u61MwWKd4puIrimcKj3f20kZQUAAAAANCYfmoG5e4XS9pB0mckXSNpDUm3S/qVpKe4+zGNlxAAAAAA0LjaNYMZd79J8W7AI2umX6ABX1rf9dwgAAAAAKAhfdUMAgAAAABWDgSDAAAAANBCBIMAAAAA0EJ9PzMIAAAAtIbV7MLCfbTlAEaAmkEAAAAAaCGCQQAAAABoIYJBAAAAAGghgkEAAAAAaCGCQQAAAABoIYJBAAAAAGghXi0BAACAlQevggBqo2YQAAAAAFqIYBAAAAAAWohgEAAAAABaiGAQAAAAAFqIYBAAAAAAWohgEAAAAABaiGAQAAAAAFqIYBAAAAAAWohgEAAAAABaiGAQAAAAAFpoxlQXAAAAAC1mVi+d+2jLAbQQNYMAAAAA0EIEgwAAAADQQgSDAAAAANBCBIMAAAAA0EIEgwAAAADQQgSDAAAAANBCBIMAAAAA0EIEgwAAAADQQgSDAAAAANBCM6a6AAAAAFiBmNVL5z7acgAYGjWDAAAAANBCBIMAAAAA0EIEgwAAAADQQgSDAAAAANBCBIMAAAAA0EIEgwAAAADQQgSDAAAAANBCBIMAAAAA0EIEgwAAAADQQgSDAAAAANBCBIMAAAAA0EIEgwAAAADQQgSDAAAAANBCBIMAAAAA0EIEgwAAAADQQjOmugAAAAAYIbN66dxHWw4A0w41gwAAAADQQgSDAAAAANBCBIMAAAAA0EI8MwgAADCd8IwfgElCzSAAAAAAtBDBIAAAAAC0EMEgAAAAALQQwSAAAAAAtBDBIAAAAAC0EMEgAAAAALQQwSAAAAAAtBDBIAAAAAC0EMEgAAAAALTQjKkuAAAAwArPrHca99GXAwD6QM0gAAAAALQQwSAAAAAAtBDNRAEAQPvUadYp0bQTwEqNYBAAAEx/BG8A0DiaiQIAAABACxEMAgAAAEAL0UwUAAA03wyTZp0AMO1RMwgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALdR3MGhmG5vZp83sajNbZmY3m9kvzGy/QQpgZrua2QfN7NdmdpWZLTSze83sejP7mZk9e5B8AQAAAADl+goGzWxHSZdIeqOkrSXdK2mupGdK+o2ZvX2AMrxS0rskPVXSNqlM45I2lfQsST81sx+Z2WoD5A0AAAAAKFA7GDSzWZJ+LmkDSRdJ2sHd50haT9KxkkzSR81s/z7LcK6kN0vaRdJsd5/t7rMkbSHpEynNwZIGCTQBAAAAAAX6qRl8laQtJS2WdKC7XypJ7r7I3Y+SdFJK99F+CuDu33T3T7n7he6+ODf+3+7+NknfTqMO7ydfAAAAAEC5foLBQ9LfE939+oLpWS3ezmb2iOGKtZy/pL+bNpgnAAAAALRarWDQzGYrmnFK0qklyc6TtDD9/6Qhy5X3+PT32gbzBAAAAIBWq1sz+EjFM4GSdGlRAncfl3RF+rjdMIUys7XNbEcz+7ykF6TRnxsmTwAAAABAx4ya6TbJ/X9DRbps2iYVaQqZ2UMk/btg0jJJH3H3L1TMe4SkIyRpiy226HfRAACMnlnvNJLkPjX5AQBap27N4Fq5/5dWpFuS/q49QFnGJN2chvvSuAcUHdJU1gq6+5fdfVd333XevHkDLBoAgC5m9QYAAFZQdYPBkf/aufuN7r6xu28saZakbSWdIOn9kv5qZtuPugwAAAAA0BZ1g8HFuf9nVaRbsyB939x93N3/6e6vkPRJxTsHv21m/fR+CgAAAAAoUTe4yj8nWPWKh2zajYMVp9Bn09+dJD2mwXwBAAAAoLXqBoOXS8qeQC9srplq7bZNHy8bslx5+XcabtNgvgAAAADQWrWCQXe/W9L56eNTSpLtLmlO+v+3Q5Yrb6vc/0M1PwUAAAAAhH6ewTsx/T3EzIpeHXFU+nuBu19RMH0CM1vVrGdXbG9Nfx+QdG6dfAEALUTvnwAA9KWfYPBLkv4labakX5rZdpJkZrPN7OOSnpvSHZ2fyczmm5mn4fCuPDeXdL6ZvTy9ZzCbZxUz28nMviPplWn0Z939zj7KCwAAAAAoUfel83L3pWZ2kKIJ6M6SLjWzRYp3Cq6ieKbwaHc/rc8y7Czpa5JkZssUTUFnS1ojl+Z4SW/rM18AAAAAQInawaAkufvFZraDpHdIeqakzSTdLunPko5z936fFbxB0gsk7SfpsZI2kbSBpGWSrlY0C/2Gu/+hz3wBAAAAABX6CgYlyd1vknRkGuqkX6CSl9a7+32SfpAGAAAAAMAk4SXuAAAAANBCBIMAAAAA0EIEgwAAAADQQn0/MwgAQCPqvvPPfbTlAACgpagZBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBbipfMAgHp4STwAACsVgkEAWFkRvAEAgAo0EwUAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWojdRAJgu6P0TAABMImoGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghQgGAQAAAKCFCAYBAAAAoIUIBgEAAACghWZMdQEAYIVlVi+d+2jLAQAAMACCQQDtUieAI3gDAAAtQDAIYHqj9g0AAGAkeGYQAAAAAFqIYBAAAAAAWohmogCaRbNOAACAFQLBIDBqTQdH0z0/AAAArBAIBldG0z1YaFt+AAAAwDREMDgdEHwAAAAAmGR0IAMAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALTRjqguwQjKrl859tOUAAAAAgAFRMwgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAtRDAIAAAAAC1EMAgAAAAALUQwCAAAAAAt1HcwaGYbm9mnzexqM1tmZjeb2S/MbL9BCmBmW5jZm1Ie15nZvWZ2t5ldbGbHmNkmg+QLAAAAACg3o5/EZrajpDMkbZBGLZI0V9IzJT3DzI5292P6yG9zSQskWW70IklrSdoxDUeY2cHufmY/ZQUAAAAAlKtdM2hmsyT9XBEIXiRpB3efI2k9SccqArqPmtn+fSx/1fT3V5KeL2n9lOeakp4u6dqU/0lmtnEf+QIAAAAAKvTTTPRVkraUtFjSge5+qSS5+yJ3P0rSSSndR/vI805Jj3H3Z7r7j9z9zpTnfe5+iiIgXCZpnbR8AAAAAEAD+gkGD0l/T3T36wumfyL93dnMHlEnQ3df6O4XV0y/XNJ56eMutUsKAAAAAKhUKxg0s9nqBGOnliQ7T9LC9P+ThixX3u3p76qVqQAAAAAAtdWtGXykOp28XFqUwN3HJV2RPm43ZLkkSWY2Q9IT0sdLmsgTAAAAAFA/GMy/3uGGinTZtKZeB/E6SRtLGpd0QlkiMzvCzM43s/NvvfXWhhYNAAAAACuvusHgWrn/l1akW5L+rj1YcTrSayw+kj5+Luuwpoi7f9ndd3X3XefNmzfsogEAAABgpVc3GLTeSZqTXjR/kuIVExdI+n+TuXwAAAAAWNnVDQYX5/6fVZFuzYL0fTGz9SWdJmkrSVdKeoa7Lxs0PwAAAADARHWDwfxzgptWpMum3ThIYcxsjqK30h0kXSfpye5+8yB5AQAAAADK1Q0GL5fk6f/tixKY2SqStk0fL+u3IGa2lqSTJe0q6SZFIHhdv/kAAAAAAHqrFQy6+92Szk8fn1KSbHdJc9L/v+2nEGY2S9IvJD1e8V7BJ7v7lf3kAQAAAACor27NoCSdmP4ekjp46XZU+nuBu19RML2Qma0u6SeS9pV0l6T9q3oOBQAAAAAMr59g8EuS/iVptqRfmtl2kmRms83s45Kem9IdnZ/JzOabmafh8K5pqyqCzAMk3S3pae5+4UBrUsWs3gAAAAAALTGjbkJ3X2pmBymagO4s6VIzW6R4p+AqimcKj3b30/pY/hMkHZz+X03SSVYelP3b3XfrI28AAAAAQInawaAkufvFZraDpHdIeqakzRTP+P1Z0nHu3tezglq+ZnJmGsrwegkAAAAAaEhfwaAkuftNko5MQ530C1Ty0np3P6tsGgAAAABgdPp5ZhAAAAAAsJIgGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAW6jsYNLONzezTZna1mS0zs5vN7Bdmtt8gBTCz2Wb2LDP7oJmdYma3mZmn4RGD5AkAAAAAqDajn8RmtqOkMyRtkEYtkjRX0jMlPcPMjnb3Y/osw36SftrnPAAAAACAIdSuGTSzWZJ+rggEL5K0g7vPkbSepGMlmaSPmtn+A5TjFkknS3q/pCMGmB8AAAAA0Id+agZfJWlLSYslHeju10uSuy+SdJSZbSPp2ZI+Kum0PvL9hbuflH0ws/l9zAsAAAAAGEA/zwwekv6emAWCXT6R/u7cz7N+7j7WRxkAAAAAAA2oFQya2WxJu6SPp5YkO0/SwvT/k4YsFwAAAABghOrWDD5S8UygJF1alMDdxyVdkT5uN2S5AAAAAAAjVDcY3CT3/w0V6bJpm1SkAQAAAABMsbrB4Fq5/5dWpFuS/q49WHEGY2ZHmNn5Znb+rbfeOpmLBgAAAIAVUt1g0HonmTru/mV339Xdd503b95UFwcAAAAApr26weDi3P+zKtKtWZAeAAAAADDN1A0G888JblqRLpt242DFAQAAAABMhrrB4OWSPP2/fVECM1tF0rbp42VDlgsAAAAAMEK1gkF3v1vS+enjU0qS7S5pTvr/t0OWCwAAAAAwQnVrBiXpxPT3EDMrenXEUenvBe5+RcF0AAAAAMA00U8w+CVJ/5I0W9IvzWw7STKz2Wb2cUnPTemOzs9kZvPNzNNweFHGZjY3GyStl5u0bn5aaooKAAAAABjSjLoJ3X2pmR2kaAK6s6RLzWyR4p2CqyieKTza3U8boBxlLwc8t+vzVpIWDJA/AAAAACCnr5o2d79Y0g6SPiPpGklrSLpd0q8kPcXdj2m8hAAAAACAxtWuGcy4+02SjkxDnfQL1OOl9e4+rV9qDwAAAAArG57BAwAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFiIYBAAAAIAWIhgEAAAAgBYiGAQAAACAFuo7GDSzjc3s02Z2tZktM7ObzewXZrbfMAUZVb4AAAAAgIn6CgbNbEdJl0h6o6StJd0raa6kZ0r6jZm9fZBCjCpfAAAAAECx2sGgmc2S9HNJG0i6SNIO7j5H0nqSjpVkkj5qZvv3U4BR5QsAAAAAKNdPzeCrJG0pabGkA939Ukly90XufpSkk1K6j/ZZhlHlCwAAAAAo0U8weEj6e6K7X18w/RPp785m9ohpkC8AAAAAoEStYNDMZkvaJX08tSTZeZIWpv+fNJX5AgAAAACq1a0ZfKTi2T1JurQogbuPS7oifdxuivMFAAAAAFSoGwxukvv/hop02bRNKtJMRr4AAAAAgAozaqZbK/f/0op0S9LftSczXzM7QtIR6eNiM7uiKF2XuZJu68qoxmzkR37kt5LlN53LRn7kR34rbn7TuWzkR37kt+LmVzevLetkVjcYHGrtR52vu39Z0pf7WrDZ+e6+axPLJz/yI78VN7/pXDbyIz/yW3Hzm85lIz/yI78VN7+my1a3meji3P+zKtKtWZB+KvIFAAAAAFSoGwzmn+fbtCJdNu3GKc4XAAAAAFChbjB4uSRP/29flMDMVpG0bfp42RTnW0dfzUrJj/zIb6XNbzqXjfzIj/xW3Pymc9nIj/zIb8XNr9Gymbv3TiXJzP4saTdJ/+furymY/jhJf0wfH+HudTpxGVm+AAAAAIBydWsGJenE9PcQMyt6xcNR6e8FfQZso8oXAAAAAFCin2DwS5L+JWm2pF+a2XaSZGazzezjkp6b0h2dn8nM5puZp+HwpvIFAAAAAAyu7qsl5O5LzewgSb+VtLOkS81skeLdf6sonv072t1P66cAo8oXAAAAAFCun5pBufvFknaQ9BlJ10haQ9Ltkn4l6SnufswghRhVvgCA+sxs3Myu7xp3qJk9f6rKBAAARqd2BzIAgJWbmY1LusndN+0ad6O7bzZ1JZs8ZnaNpFvcfY+a6X8naVN332a0JQNWLmY2293vnupyANPRZB4ftZuJYjTM7FBJZ7v7vyZhWatI2lOS3P2cUS+vzcxsH0lfl3SGu7+yR9pvS3q8pEPd/fc1819L0ZRakha7+z0DlHEvSfe5+3k10z9W0kz2nZXaversV3k22QWZQvMlzewj/UMkbTGKgqRjtBEct5iGbjSzH0v6hrufNdWFQXuZ2c6SniJpc0mz3P0VuWmrS9pYkrv7vyexWJN2fLSqZtDMNle8z3A9SatVpXX3EyapTOOK5yL/LensbHD3q0ewrLUk3S1p3N0rbwSYmSkClE0lXevu53dN30nSyyRtI2mxpN8pdtglDZV1lqS3Kg6+D5akWVfSqu5+e80895C0etlFkZnNVFzULXP367qmrSnpvZL2VjRj/rWkD7v74pK8vqrYPs9x95/3KNcLFb3qftndX12SZgdJL5b0JEmP1MQL9sWS/qF49va77n5J1TJTnn3V+JjZtZI277XvpLSbS3qO4jngeWn0rZIulPQTd/9PnWUW5PtwSc+QtLXiuFkg6WR3v3yQ/IZhZnMl7as4p2yq6ARrXNJdkq6UdK67/2myy9WLmT1Gue3n7hfmpl2meK/rc939Z2nchNrCBsqwo6S1JF3m7gu7pj1V0kGKoOxuSX+SdLy735FL81JJF7r7pU2VKZd3X+trZv+RtJG7V/6mdM0zR9IrJT1ZcfHhio7UfqU4jy7LlaWJH2mvc9xOhn5+h0ZYhoe5+5VTsexRSTXaTfDJquXu2r+vlfQNSd8c9Pch5bmqpPXd/daCabMkHaDcdUuT5xAzm6G4bprUmy8pWBl39we6xpukV2v565avuPv4ZJUtlWOWpOdJeoLit3Itld9gdHffr2a+QwdwZjZP0gmS9s9GpXlWzaWZKelqSRtJ2s7d/zkZx9sojo8yrQgGzWx3SZ9WvM+wlvyOMEpmdp7igjn7Ucy+kBslnaNOcDj0xW7uR9ir1i/16PpjSQ/Pjf6TpIPc/VYzO1LSsYqDxnJlvk7S/k38yJrZBorgYUJZzezVileObJVG3aw4SI6pqlI3sxslzSu7AEnr9UnFyfLVufGrKtb/MeqcwFzSXyTt2X0CTvNcKukRkjbsFazm1vUyd9+ha9qaih53X6TO9q7iaThR0muqagwHuOi9VtIWPfadNRXb8BWKZ5Lz5c32k3FJX5X0lvzNAzN7riIQP7kg3xmSPqe4gO7eBi7peMX63l9nXVKeG6v3D9OEH3Uze5SkjyguKno9d321pI+5+9fqlist4yGK56hr37gys/UVFwR3leT5QkkfU9Rk5d0o6e3u/m0ze7ek9yu26e2KC6b5ksYUN6zqKvyBM7NdJH1XcTEmRU3k+939Y+nC5duSXpglV2efWSjp+e7+25RP9iN5oeK7/24+WBxGP8eFma0j6TZJd7n7hrnxz5L0esWNik91zfMEST+StKGK9+UFinPtJWa2QOXB4DxJa6b/H0jlMEkbqPN7ck8aL3ffqjuDVJ65il67nyRpO0mbKNfqQLF/XKa40fRTd7+tpDy11P0dGiUzG5P0e0XrjR82dRNzKqX9toqr4gI8N637QnhktdOpBc0rFDcO10zlGJf0G8V387O653QzW1vScYqbpjMlLVH8ZrzL3cfM7ImKc0/3K8x+IumwJvaB3G/5hBsd6YbumyXtImlVSZdI+rq7/6ZHnr2uW46Q9EXFOfAlXdN+Kelp2UfF9v2Vuz8rTX9Pf2tYzt0/UFK+JymuR+Zp+XN60bXBhECsJM+BAriCfNaUdK6kR0m6QdIpit+fNQuuO98l6QOK/ekjNY63ukrXt8njo5eVPhhMFx/nKE4OJuk/kq6XtKxqPnfft0e+ByjudNS5YKu805Z2yMcr7t7sLemxklbP5k1/b1UnODzH3f+e5j2jqpxdVpX0xJTn2V3l2y/lt47ih38TTTxYz5D0P5IuSp9/r9iWW0naI6W/QtKj3f2+Pso1QVkwaGaflHRkV9my8v1L0ou9pNljOqluWHHgnaI4uezl7n/IjT9E0rckLVXcVFiq2A7rSHq9u3+xIK9Fqexzaq7vIklj7r5ebtxqihrX3dL6/lPSaYrv5wbFj50UJ4lNFRdyT1HU7LikP0t6YlGwmvLvNxi8TdJa7j6rZPrqks5UZ1/4Tyr/9enzJor9L6sJOVfSvtnJrKqm0sy+rzjeTLH9L0n/by9pVsrvh+7+wu55u/JZRfGD/FpFkNPLcjUqZvZixUl4NRVfWN2X1nkLSQ/L8lDckT04q/GpKN/jFBc0fd+46rH93iLp4yVlzsr4/xT79xckHabhHiMouomzoWLfXU8Tzy0vkzRX0v+qE+RdI2lLdW6WLZL0KHf/d9cPsUu6X9IvFRcIv3L3sboFTbWUO+VGHa8IPo+smk3Suoogak9Jv3b3Z+TyPFHSC5SrYU3jt5B0saQ5ih/10xXnTCluHu2nuMFwvaSdym4kmdkbFNvqbMWNiT9m59x03ni8pHdI2kfSUe7+uYI8VlEE/m9WHEPZehXJfoeWKm72vC9fu9DnReXqildFeVp+ZyElF5S55eymqOnI1zCUWe7Y7conK7srAt4fKC7Mz62zAhXla7wGJAUxdfLbSHGMd9tGcfN2pqTvK/aZ/Dl5b8W+ukzSWyRd4+4PXh9MRu20mc1W3PB8maTds/SS7pD0HUVt+cVlGacbSWcrtlP3ueXzimPkEknrK25A3a4ITlZLaU5x92cOvGadcpRdt7xQ0jcV57H8DWVJ+pmkV5bdzKpx3fJTSc+S9DTP9bpvZgemvF3xvS+VdIhinQ919+809N2WBnBm9lDF9eJainPdrxS/bwsV+9pGitYR+ypuWr1f8djLN0sXNkQAV5DX2yQdI+k8xfZbWLa9UyXJJZL+4O5PNLO9e22YuvLHW5Fhj4+6hVipB0m/UPzoXixp5wbymynp54o75WMp717D2ADL2EfS+xQX10uyfNLwQC7teB/l6Fk+xY/0uOJC/kmKpm8HKGrfxhR3JG5RXKjky/xERfO4MUkva2A7b1BQtr1zZT5d0qGKJoOfUFwojitOeM8pyfPGqu9CcRdpTNLaXeN/mcb/T27cwWl5Z5fktUjSPX2s7z2Kk2B+3FFpGbdKelYfeR2Y5hlT1L6VpRuXdEPNPB+b0l9VkeZdKc1iRTBhJelemtKMKV4bU1keSU/P7ecfU5z0s2lrKk7m2fQnV5RvFcX5IDte7kh/H1DUamfH2bii5uJaRRPpbP4dFRcS45JOlfRURbCyTdrmv0/TfprSb6gIsLLj4qQe23jPtP9mx/kVihtAZ1YNNbbfDopgaVwRqO6juPifpfgRPidNu0/SI9I86ygC0uyYu02dm1W1hoJyfDTldW1Ks3YqywJJf1Mcf7cqbmDk59tZcaNnTNIncuu6UNJJue8k2243KwKWnaq2dy7/9+bmHevKq9cwrriI3rMrz3+m6et2jf9cmucfknYoKMujJF2e5v1QSXmfnqZ/o8a6fSOlPaBg2s9y63Cn4nftGElvVNTAvzL9f0yadmdu25zUlVc/2yz/e7Xc+B7r8nbFsVr7t60ir60kfTDtV/lyXKY4725UZ9/pyvNJkm4q2IeW+63NT++R3w6K46LOtivMT9JmiuPhn5K2qVjW1orzzY2KzpDy0xYonQsLhsW58tynuDi/Mf1fei7tsd6PUPym39C1nudLeo2kOQXzHJrS3qu4+D8w7bcPpHGfSmV6neJRESkClHfm8p9wjAywDxRdt2yjzm/LTYqbiZ9Q3KzN1u9qSQ8tybPXdUvZueYH6jqPSPrvtMxT0+fjFeeIoYeSsn0pLe+ErnPFDV3p9ldcM50vaY0e2/htKY8/ZvtC2TZS3CAfVzQHLsrr/LSNduu1vRVB772KzsWG2k+G3Mf6Pj5q5TuVKzVJG+72tKEm/PAOmF924XmfoqnbixQ/An1dGPWxvDmKwONPKjjp53aGP9c4YL+VS194ICvuuIwpmmTly/HK3LxHlJT1yJTmF+nzR4YYjitY1++lcd8rWPZmks7KfTeHFqTpdVJdJOnOrnGrpPFjirtF2fgZih+a20vy+nuap+cNCEWzkXFJ/+gaf2HK4+kD7DdZAHVBbtxhitrdbMguZM+oGM5U3Nm7N5XlsxXL/EdKM2HbF6Q9LC3/sq59uSiY+VGa9tWK/L6S0ny7Is0rUprrJT2he5npu95LERwt6V4PRa3TuKRPVyzju2kbHJYb91DFiXtMFUG94s72uCKo3GKA77xs+2U/yL+TtFrB9BlpncckfapuvgOU76K0jKd0jX+qOueW/y6Z96CU5uKC722u4txzgSZeKP9V0puUO3ZL9sUzc0N2XJxZMfxW0k8lfUjStgV53i1pYcH4K1O59qgoz+NSGf5eMv23inPPvBrbfMO0vNO7xmcXhUsUAd/MGnmtIekNihtXY5Je0bWPjCnOsdf2GBbk0i83rWLZ+6Z57lfcdNopfb5ZEcg8TtK7FTcqb1EEA1vWWCdTtKb4rpa/6Xqf4kbDgYrn0nvl89D0nY8rWm9kv4V3Snq5opb2t2ncLYqg5LCK/DZJ6zauqI3Ifg8XKYKdL6V9Kcvvg5LeW5DPl9P6PKHGOjwh5felmsfzGxS/C6cpbuqsnpu2muLa59eKY+n1A5wvVlXUeP1End+fsfQ9fUfSPrm0v07TjurK4wO57/TjJcv5dErzrfR5/yGG52XLy+X/2TTuAklzu5Z9kCJAHFccO48qKF+v65a7JC0qGH9bWu8tc+NmpXE39/t9DDKoc757eNe5ouh36uVp2jt75NlYAJeOp6XK3biu2t6Km5X3Tca2a/L4qJXfVK/QJGywe1TwozxEftepodqvkvzXTyeIT6aTx/1a/m7gFYqORrL0n0pp7lU0G1qrIu+1uk9UBWnuSMtbo2v8ZuqcVNctmXdeSnNd+tzv3eKiO6D5k2pWO7BVyfJXVbSdH1dcLL22a3qvk+oySUu6xj065XdJQfrbJN1bktexab7fqOJiIpX59LRen+6atkhdtYV97kuLlfuRUNSA1L6rXjCcJWm9iuUtTcOMGmWb0b29Vf4j8W91/aAUpHl4mr+q5vLMlM+Lq5aZvpNTFBeEe3SV4/4e22DblGf3xfdL0/if9Pi+xhSd9AzyfZdtvytSvntWzLtnmv+vBdMOk/Rfg+6HuXyWpONylYLtfX/VuisCkQey/bliXXdIx96Nuf02u7j/meLG2oSAuM527HNd7yo6dtPx0fP3SFHrWXjsK25wFt6EqptecVd9TNJLB1i3rBbmD7lx56dx10h6Zo/511bXub3GMn+SylvZkkARRF2hCJA263O95iiCtGxd8gHux5RqzUvmbbQGRJ3fj5Oz/bUkvyPSvv0rFbTEUFyv1L7+SWW7rka6Rmqna8y7mqT/UjTjK6plvVBxoyCrkd2ga/6H59I+pGQZWZorctu5yeuWy9L4x5UsfzNF/wPjimuKx3ZN73Xdcq+ku7vGZb9DVxakv10l1y1ND4pz/tKucQ9IuqMg7cy0L19cYx9tJIBTcYusssByVcU1y52Tse2aPD5q5TXVKzMJG+vi9AX2vECtmd8S1bzgrZnfPMUFymdSWR/o+lIvUTzD8wJJG5fksYs6P2DXSXpeSbo6weC9KrjQSAfCeNFB3JXuLqUL/NzJ8UL1aOpWMPy+u6zpe5xwB6ygDB/JHQxvzY3vdVK9Ns2zTW7cO1NeXyxIv1QlF42KTjqyO+hnSNq1IM1j1anNXKKuO9mKu8rLnfT62K9WSfPemRv3aMWF/WGSDlfnzvVhFcNLFTcnCpuwdC3zRvVxokzLvjH3uewCv+73frcqgmd17pTO6lrmhLukiqYY45J+1FWO23qUYUaa75qu8Wsqju3/VMx7az/br2D+su23uNd+lPaXZYqOUAZafo3yueLZkqJpC9N3s2bF/HcrXcSUrWvX+jxd0VRqqZa/wLtNcbd+t5J5hw5+FTWSY4qOC/Ljb1HXhVvJ/IvLvou0He6XtE6NfOaktN0Xi02fW1ZR1MBmrShOUknttmr8DhXMc33Kd25u3LjimefutPulaZ8f4vvbQXFDNqudy/adP6T9o/tmaaM1IJIuTfk9pkZ+b01pJ9S+pe+p1uMKilqUe9R18V6Sduja6R7zPEZxTZSds7Pa+h8ong/7ijqPhjyQ9vGi2rGZKU3lTdW03nfntnP3hXW/Q/66pc75dy11ao4XKvotyKb1um7JbpZulhv3ppTXN0rWdVKaOirOM3cVjBtTria5a1rlb70aDODUaZL/kBp5ZeeVv9Rc95mK/hOeq7iOOrRsGGC79nt8HNgzz8nYIaZyyB0UBzeU3xW9dtY+88v/0DyguIj4dNqB5vaRjymapmQXVb9W1wW86gWDNyl6dCwra+Ud87RzLk7/1242WJBPUdv7u9VVc1cxfxbEjUl6TxrX66R6gjoXMnMVz4hldxyf1ZX2YSn/8yvyO1hxpyv7fm9V1PZeoM4zfeMpzYSLT3Xu3r9kgO33EnXdvR/k++xzmd9TwQVwSdrt0/K/26s8itrqu2rkeVvV/pFOlnd0jVtSNo/ixsYNuc83Ky46ZlcsY+u0HpcWTLu97NhK009VzYv8fr5PxcVIZRCb0t2iEd4xTvuGa2JTqaxFwZgKbpqkNA9R7uK/n31XERC9RtEEPn/X9IFB16XGMj+clvOdrvFZDVfp3VrFYwfjkv5cMj1ryn9MjXJkjzX8sWv83aoRlFbku1yrg9z4zRTNZ8dTmneo68apBgsG7+1enuK8WVSGLKi5pm7+BXlspHg2KbtY7L7jfoOWbwreaA1I2nb3afnajzEV36idnc4bE/YXRU3tmKRn1FjnZ6jgRlZJ2qFrpwvSbKC4hvmrlq9lu0zRYVv3eWMdSV9T54K3rCa9znXLLUrnZnVuPBT2PdAjn7nd+7bqtwZYQ9E/QXbsPCWN73Xd8qNU3i+nfX+upKvSuBd1pd1CJS1ARjGo87jM7Ny4rJnn47vSbpzKVnleUoMBnOKm4JjiNWGleSma116Q0r6/R/nWSvnenduPK4ea23KY46NnADvynWGqB8Udy1MUF9+F1fR95vdhVVT5D5Bf9uNyV8p7V3U1o+ozv80UFxzj6ST0fqW7mKoXDF6srjuwuWmnq+B5vdz0GYofpWvS52+lvD4zwHoUBYNZ2UqbC3bl8ebc9j2m7ISRS7+jlm97nR1sl3R/J+o8E1J591nxLMufVH4H8Tx1nRRz8x6R0tyj3IPvPZa3uqKnzKzJYeEzWKMYFHfT71ZcrM6pSLdOSrNYucAxrevNit5Gt8gN2fOypUGSornE/aquefuX4gJrla5xY5rYacIqaV9YlhuXdSRU2LFHSpM9u3hi1/hVFRcsN1bMu1/K/4MDbv+yYDD7EavcfxTniwk1LQ3uH8sUweCxXeM/mcp+t0o62VFc6Iwrev0rXdcaZXi44jx7XdW5oIF1nafO8+pfUKrxVNzRvTftdxOa7SqeWc0eRXhTSd6HqHNe+5qkhxWkeWjaF7PzWPdF4UVp/NMGWLenpeVfWJHmWbn1uEzSk3LTBgkGb9LEJvxZp2ZzCtLfrRo1XF3zzFB04f5zdW7ijadlf1xxl/+digAr2/4vT/PeqQZrQFT8/PpCxTluwmMHaV+7q2D8/6pzXt2rYnl75rbnJ2psq6Frp9O0VRRB6I8U54dsmy9WNC+tfNZRcd7PntVcLujIpXlAPZq+Ks59/07/n6Qe5/mKfIquW7LArPS55a71+bE6rYUOVO/rlr1z6581oRxPx193DXbW98PX0+drGhquLinbt1O5ds+N+1gqw6+VnlVWXLd8P40/p8c2aiyAU3QAt0RxvL9REZA/mFfaPw9QXHuOK25Ml1bSKG70ZNcr9ynOs1mt3TnqPLIxrrh5faZyncCN8PjoWYnS146+Ig6S3qN4iPiOtCHPUvTE856qoSK/dRR3Oy5TybNrfZbvl+r0apj9cC9M49+maErY8wH2gnwPVOdC9ypFk6k6wWAWwD11gGU+JuV/Rvr8xvT53AHyKjqpZhc3/9NHPq/ObdeeFyBpO12tzt3G3xZ9z4oAcVw17x4q2vAflr7T/5f+n9DxRMF8v8rtG3cofqg+rAgOX67oavh1adxJ6lyAjit15DPEvrmqornko1XjBoUicHuRUvPPdCztrbgwfajiQvfdirvqdyiaM+SDvvwxUDRU9RSadcJzXkWarJOU/B3Fn6Zxr+tK+6yU37+69o2sjCemY3MdxasSnqDlexl+cld+WbPT0pralO61imDhK6ro/a9k3nGlmzFdQ3aH8jEV8z40zf+3YfaZHuW7QxEMjiluLH1c8Uxt9sP5YnUuEp6Wttn+6nQgNKZUG6Mha7UVd9D367HvvzqV8yZNvEnUPUyoZUz7S/YDfpvieeaXKG5MZfNdqOi85ER1OowaV1xQVD1rnPVKmuVzo+KO+/nqdFaU5TXhZpw6PfLdqhq1Rl3rlLVqeGuPtNk7R7PnQU9U3P0fJBjMahPm5cadmcYd1JX20Sn/nrXhKf2jFB203JLbZg8obiI/VxNrNrNXcowrtQBQwzUg6rSqyfecnN0MfUxX2jkpvwkXfIrzU9bRzJiimetHFO/AfH36//e59b5C9QK8oWun07Trc8seT9vs1apofVGQxwJ1ziu7150vN3/WmuNP6XPWqui0AfIqum7JevU8pGYeqyo6ABlXnHfu7XWsKG4cZ80Cs+9xl4J0f0zTX5w+jzc0lD2v9/w0/VO5cZup05z81rRPZsfehOO5IM+mA7jnqnN+z2rkx9K+mLW0G1cE2ZXXxYoaunHF8Ts/t43zLYy2SN/vA+rdWU5Tx0fPc21fO/qKOGQ7aveOWzHUCRjmqhOpf0txcX9o1dAjP1P0jnak4uL01q6yLlL8ML1dcXeyVnCo+DE+Vp0f41N6rZ86AdxHBtjWH0rzZs0yd1fUeF6vPp9NUVwwHK/lezp9bsr/8n7yUwRe9/da96555qmkhz3FHeRHp6Fnbd2Q++8LFDcGsrt9VftvNn2p4ge48rlWRVPNjyjXK2Bu2n6K14tkef9bPXqn6nFc1Rk8NxT94Hy9xr73qYo0707LeVluXNb7292KZ2+eojih35nSfq4rj8/X+A6+ULDs7ALjw1XbMKV9V24Z96jmHdmSbZYfSi/cFBeG46rRIcQQ+3J3py75ffbtKc0vVbx9xxW9rVpuXRtr4txVztlavvfmWkNJXk9U3IwrW6ei4/fHqvFjr6ghvLKiTP9UrrOkrnlXU+c58zHFzc1PKXoZfYaiqeq+6f//TtOy59jGFb1X13puXnGTMOtG/y51Xl/UTzD46bTsp+XGZS0/rlS8BmU1xWtI/prS/rgiv/XU6Swmv/3/pehoq2cnTmldsqaFjdaAqNP079G5cdkNgO6mx59J4wsfWVAEn6fl9ouy341TVdIvQcm+l+X1NQ1QO507ju9UnFd3GvB4PVidG0ZvG2D+16fyfTJ93j/lVbsZbC6vdRUX39fkxmUtfM7oIx9T9FZfGWx1zTMrHQfbquDmbTo+DkrD2mnc3k0NJWVaS3GcvbBr/N6Ka4r8+WqxpDfU3D6NBXApv93U6aeiaPijCoLrgnyymyTPyI0r/K1SvHdyuXPaCI+Pw3qmGyTzFWnQgO9R6ZHn49Vp+lfrQneAcu+gOEn9UJ2uh7P8+npmURFoZj/GvYLBOYogrmeHIV3zraponnqmGnifY8ky1lDUJJypPpvppgPiGg3xHMkU7b83Ku4gbaSoNfqh4qLsDnXuGt6hqKn8geLZqFrvyFLUzEy4w6+4eMia3uSHu1XRXXvFibTvYYDt9IO0X1TVHm6vqKH5Udf4nxQcy9nF9PoF+bxRcSezu9y3qLxp3w6KH8CqVxysoU4Tpbrbqvs9nFXDoyuWndV0v3LE+/KYpFcpWmj8Q6n2JZdmbcUF5P25dVwi6f+U6ylZccH1pxGV8xPqXEh8RhEYbau4I1069PheD1NcbN9V8B3er7jB9XlVvHKiIv+dFK0E/l8aXq4aFw6KoPf7uXL0+h3L0n1PfdyZTssyxasI7srl1U8wuE+27Ny4mYoakKJjd7EKuunPzbs0l/ZeRTBxgPq7ybggWwc1XAOizqt38k3htlXnAvjvitqFi3P5Tbip15Xnnoqg/hzFsfeP9P+nVOPVEwX5DVU7nfJ4qXq8V65mWR6e9v3atdxpvlUV5/nxbF5FwP5oVZwv+1zGXHVuyJf26Fwy73H9HisryqC4qf5ERWuip6vP9+OpoQCuK8+tFa033pr2p8NVowVXbv47Fddrq+XGjUu6tSDt5mnaKRX5NXJ81Bmyu6yoycz2UPQOuUYadaU6J/hS7r7vgMubr7hD+2rFzp+y81X7zMcUPzBbpgzeP0h52sTMNlIcsGu6+zlTVIYbFQFEX993zbz/oriT/nB3vzo3/v2KWrS/KbotXqa4qbK34j2Db2q6LFPJzFZV3L19nqKjkoWKmw7/6+53Vsyzq+J4ckWNwoXu/sAQ5ci2+wOKzoxOV71zy9mDLnMy9bMvm9lsdTpputzdl426fLllX6P4Xl/h7sePIP+NFDUIqyiClpvd/b6ml1OjHM9X1Cb8TdFEd19F09y1upLeowgczlR0+PTXIZa5iaLVwhZS/d9FM1tF0iMVXcRfmRu/saLW8FmK32RXPIf9Znf/c0V+2c2er0k63t1vHWBddlfU+J1tZmspLhxvd/fv5dLsrag13Cw36xJJ73D3z1bkvZ6iBvU/7v7p3PgXKp6fXTuX3CUd5+5H9bsOwzKzQyS9T/Fi9SJXSXqfu59YMv9PFcf4Ue5+7UgKuYIzs80VNX3/muqylDGzh7v7P0eY//MVvYCfUDBta0UFzSaKc+rNikeTrhhVecrKp3jFzBJ33yA37R5Fa76ZBfPdIel+d9+oJN9JOz4IBvtkZqdJerLirsOL3P3fDef/UC1/N/8h2aT0d1zRC9kuTS4XHWb2AkWzvu3TKHf3Gbnp6ypq6EzxzODdIyzLKIPB6xXdfs9097Hc+AsVd0YPdPeT07jtFXej/+Hu2xflh+GY2dWS5is6/fn6FBencaPcl5tkZssUx/ba7n7/VJdnVNL3MS9/bkvj11EEhKbooXHRVJSvH2a2mqIGZpG731Mj/RPd/XejL5lkZjMUHYllN5r+4O4Lh8hvruKZ2iy/00d5IV6zTDspbizOS6NuVdwc+2uP+e5TXAx334DAAFLguL2iGfRqVWmLAqs+l7Wu4rn/wxSv6ZlRPcdQyyo8V00XWfkUnfZsobimeiBNu0rSVorWdtfm5llNcWNorChQTGkm7fiYlht2mttNcSfuxU0Egmb2CC0f/G2cTUp/H1D0SHS2oknH74b5IUE1MztG0UTAFE1yVlPnu5AkuftdZnaT4m76sxTNdVZEcxVdXucDwbUVvaouVTxnIkly90vTRfL8yS7kdGVm71FcLH+yZvo3SlrX3T9QkmQTRXOioX6kR1i+RjVZvobX9VZFM8jGAsFp/F1Y94gU/A0VAE72+qbv6sb+imh7uPt5NRM/VnGB13cLkXRR2Fjg6e63Kfoq6Euqkd5HndYuje1bKej76wCz3qTo5KZR0/jcMpJjI9VSf1qd1mN19P07k2ron6YIAA9UNKk1xTXxqE04V00zpngUaUvFMZYFfn9RBIOHKPo2yLxE0Ux5QUWeIzk+ilAz2Cczu11RZb9eQ/mNKw6kbEe/T7HznKMIAP9Q507ngMueoaheVxPNIJvMbyrKZmb7Kx72X6joNOGnik5UJtRmmNmTFcHST9z9ecOWr6LcA9Wm1FzfRYqmDWu4+3gad4CkkxXdHe/Xlf52xQXRtLuL2/T+UnOZ44pXMWxaM/21ihdxF36X6Q7ihu7eyMm/6fI1UJ7l9uUmy9dwXl9RPHe3g7v/o05+NZY3rb6LtIxRtjqYduvbtbxxxWteNuuZWA+Wb/PpWjNRxcxmKp49e7lyFQD5bZ1qea5RXHhu1XSLp4qyfVNxUdzYsZbynZbnlhHlt4vienGm4jryP4pO+yqb1tdtop2WsaMiAHyxojVRdr16s+I59x+7++l18+vXdG9VkpVP0UvzJyS90d0/l6Zl14oPKJ6H/6uiB+NXKY7HY9z9nSX5juT4KLLCndiqmFlWw3F51pQtN64fXnHSv0jS3ma2TkPNZ5YpeiDKgr/zfPKej5mj6MhhXM3sC03mNxVle70iMH+ru/9IksxKb0adm9Lu3EDZRqHO+v5T0dNfFgRLcbJ3xf74oHRBMUfxbFwlM5uleP7uCZI2VafJWRHvDjoHtNz6mtmhDeQpafjmNH34iaS3mNnj3P3cSVomJvqA4n1znzazZ6zMTUUzZvZwRUc52ylqqLNn0hYratwuk/Rbzz2vN8KybNFUXu5+XdWi+sxuutdMTJBukp2saHW0RHFef4I6fR5IerC1y5cVF7MHKzqVqZP/Oop31z1FURsyy9236Zr+7FiEF9VmHpOW9zkze7q739vP+kFSPLM5S/EYx8vc/cImMjWzDRW1WYcpghepUwv4eUXnU3/wEdYoWTy/LUUTzFVyn/vl+f1yhH6iaDqbbS+5++lm9jnF9eWrc2lNcR35IZWbtONjpQoG1TlZW8G4QfIp8glJ+0o6SvEetWHNmQYXG03/yDWZ32SWbff0t/Bh9zx3v8fMFqrTrHe6qlrfnymC2ePN7FjFReAhadoPutLupng4u/IhZjN7kmL7zdPyzUfy5ciPa/qHJFvO8Q3m3VQwOFdxQVbmg4qmN19LQchkd6jQq3zDGvZYbrJ8VXmZohbleEnnm9knFT0kVj4b3CPwaLJ8jbJOR1IPjupK4rm050s62t1/23Ax8uvb1H7vau4aZ7ai1Y6GuCDt5u6+jZmd0WB+3TfWXqFoGnq5ogv7f+VqMbr9QBEMPlM1gkEze5ziNSgbqbPPLHfOdfdFZnakpJ3M7Fp3/31XNvcoLpC/IOmSdNF8rjrvsizU8LEmTd65ZRT5PV6x3Q9x90uGWZCZra549OUwSU9VNGM0xbnvp4pXpUnxfrzJeJZ4fla0rs/9mpQmkOk3e0JTXXd/o5mdrOh1ON9J3fE9rv8n7fhY2YLBrdLf+wvGNcLdTzWz10v6pJltqqjivWqILB9nZvdNxrML6GldRQcEdU/k07LJQh+OU9zFeqTiDpQUJ90vFTRJeJ7ihHpWWWYWnR/9TFETeLqkX6VlLJT0FsVFw5MVN1NuU7y4eXEzqzLBOZqkH4BezGyOpJcptsvFFUmfo+iN7L2SLjezHyru9lY+CzVszWUf5RvWrhrgmGmyfDXzygcjcyTV6cynkcBjEr8LpWWsIinrjGyh4lUNN6hz8bmmonZ/W8W22E3SaWb2dnf/xLAFKFnfpm4ANpJP+s1dX9GMUmruuens/LRPw/nlvTSNf4P37o0ye01Fzw7CzOwhineCrqeoefyu4jUs6xYk/z/Fee1gxasA8vLH2taS6jxH11iQPwXnllHkN1PxDOLAgWB65vAwxXuN11UcO/crvuPvSPq5uy9rssVNTVlT1p+kcj1pkpffGHf/tTotsOqatONjpQoGi052NU6AfcndFRxTHKgvs+hY4+bqopVWUZ+luNir9eyComp+c6XvLj3nNqgJzyY1md90LluJOyRtaGZr9goIzWwrxd3iBUOUqVJa39Vz//ej5/q6++J0d/dNilrRRZJO7m7OY9Hr1U6KLuhPrsjyrYofrm+7+6Fp3uMkLfVO75gfTevyI8Xx84Tcchr7ft19nyHyKmRm79XE1gAb9dEU3VXd2dDxWv754ReloZcTJql8w3qFpPd0Nb0eqHwjXtehW5NM9+8i1eDPTh9PUrR4Oa+syZfFl7a74hh/juI4/ou7n5WmN7a+7r5K/TWpx8wOU1zs5q3fo1bOFBeg26XynZLGD/SaqAovazi/vO0V1ypn9Uro7mNmdpci8O3lrYpA8AR3P1ySzOx/S9Jm222fgmmNtNxqcv9r+tidhHPBVZK2NbMZPsCrjczscsVrfLKWOn9Iy/uhu9/Rb35N8vTaJIteNaf9a5RSE/cxd7++ZvpNJc2oqMlrumVjqZUqGJwk8wvGzSoZn+lVQzHMswu/rpF/P5rMbzqXrcifFU1knqmJzSS7vSX9HWX35L9W57s+pSrhoFJTj8pe5VIzhr1rZPckxfdT1QZe7n6amb1J0lcVza0/nCaN+vttQndz17rH7g2K9T22Ik0TtZnDlu+1ZvbaIcsgld8Aa3L7jeS7aDAYGeW+Mqw3pb/u7s/tlTgFiedJOtjMPq44bt+s5YOM6by+8zUxGFm9YFyZc5Qu6Ju+IHX3bzaZX5eZkpZ5rsfoHtZSj45HkqcpvuOej8q4+3/MbKkKWmk1HPhP53PLKI+NbyhqjA5SNNvt18NTmb4i6UOT1XnQSmqB+qvc+YNylTvdRnFjrAy9ifbJ4iWyfSv7ARmgZ6nbJK3l7rNy8/dzcikp3nI9/DWS33QuW9EEMztQ0czxGkn75Z+vyJVhVUnvUARQLmnPUXX2kda38FmMPpSub9PMbIninDIrN+4BRdPb9bvSzlTURP7D3R+dxo30+x1WarazbvZRsZ/cKumxFbONK9Z/4SjKlNdE+dJ30IQJ30OT268N38UoWbwaZyNJ4/0eLxavn7lL0m3uvnEaN93X99GK1g1SlO/rimaxb6qYbVxxjrp0yEdBpkxqybSlpI08XklR2jNjag57nqRL3H3HHvkuVbz/bJ3cuNIeH9N1y2x3X6N7WhOm87ll1MeGxesefqVohv+sfq9Hcud8V7w/O6sVvL0krUtab5KeGcyWu6L0Jmqaxr0oV1mpawYtejVcs2SnfrGk/1K0w71f0oWSvuDuF1XlOZXV1AXPLkhxF2JjSQe7+0/7zG+upFu6RjeZ33Qu2wTu/gszO1HRo+aFZnaS4k6p0nOi2yk6+MgO9C+OKhBMbkzLGuSCref6jsC9mhjI3S1pjpmt7u73ZSPT8wf3aPm7xSP9foeVfpgf/HE2s3MUF8SNNEW3eJ+UJP3I3W+YovI13QTuQU1uv1F/F8Oa7uVTPP830A2m1Lx8sXJNs6f7+rr7xco9d2VmX1c0Xx9lrdx0cJaieezLJX28LFEKKD6i2Cd+UyPfeyXNMrNVPL2WqCLvtRTB0ITrsKZM53PLJBwb71K8jmx3Sb83s9+lz706vMpaBO2kaKr8IsVjG49X9KR8mqIzuJ/1emxmqqSbyjupd6/lk9kreD/WVLxyYsqtlDWDZraN4qHlfRU7x0JJx7n7B9PzT79QdIUsLV/zMi7pVbnnm4ryvjOl283d++5VrODZhX0UvZT9sWo2dZ5dmKEIWt+Q8jtJEaB81N3f1WdZNlDcocrXvjWW33QuW0W6GYrnZ96g6FxBWv6iyRTf/3GS/l+vH8Jh5Nb3we+7j3m7v4tsn77R0zttcuP64e7+ipJl/l2xj67r7nencecrXl/xRHf/Yy7txoomMPe4++w07iSN8Pu1wXoBdJ+cLqmVniEZk7R2PnAGmmbxTsttNNiNpkdKulTS1e7+sFGUr2CZjZ6rmmYDdqxRdoFqZnsNmF/3K4G2VwTBSyS9xN1/XtDa5ZGK37P9FUHett6jN0Iz+7Oi46GdU6BdVeN4qOJ56DPc/cmDrBfKlbSoqbqwNxW33FhV0tMV16fPVDSjdsW+8zNFJ0G/0DSoGUw3GI6RdLgioOpplLVvg9QMWnS4d4Wk/7j7lqMqW10rXc2gxctTz1Z0k58dHOtKep/FS7bnKk5690u6QNJ1iva9uyja13/BzM5z98tKFrG6onnEoN1Lz1dDzy4kf1F0BVzV5KAfTeY3nctWyOMB7Deb2ecVJ8XHKfalVRSdBJ0r6ZvufvmoypCTre+2DeR1ePp7uaR35sb12yzTFR2BFLlYEQxuJ+lPadxvFd3Wv8fMnp1qBFeX9Ok0PV8TP+rvd/4A8wx8t8zMdpC0p+KdXr+pOKdkblM8TD4pgeAA5ZtUTZZvkLxsEt+XOQXfxa8kvVHx7q6N3f2mOjOZ2UaSvqU4Ln456MIHWN/D1ftc1X3Trupc1bTjNdi5oqy24qwB8pvQi6C7X2rxfPZnJP3UzBYoOn6Rmf1Ica7eNjf/q3sFgslJimaJ71YcI4XMbFvFzVWX9MOKdJP6btqpPrc0nN8JauBZe4/nSn8h6Rdmtp6ipvAwRQ/CL9bynZk9wcxOHeXN8C4P7gupNvAMxf43pujY7tGKSpU/K5q/PzTNc4eiR+7RFMrsIMWzmnNyZZzT4+ZVVrmzZ/p8Zo3ljPz4WOmCQcUP3KaKuxkfVuwoO0o6WvG+jnUVL85+prtfms1kZlsrTnDbS3qt4gWRRa5TtMEf1Enq9EDZxLMLf0l/d1H/xhTrkz+gm8xvOpetUtrO766TdsAap5LFLlcL1eT6vj/9vS2X5v1q1s/U+dHIgsHPSHqNoib+32b2T0XPZRsofsDyD8aP+vvt1QRyjuKH75WSVlOcS0p7BTOzpypeA/F7d39b17S3K94b+GDtspm9090/VrH8CyU9xczmufutPcra0wjK16gmy9f0ulrD78ucht/FRxSvHZgj6Qoz+46k0xQ1fjdIWprSzVL8nm6vOIYPUTQPvU3SR8syH8H69jpXZcfuExQXgF9Uan5lnZfY3+/uN3aN60tFoNSr86c5ilf4rKF43vLiirRSnMt65bdu+v8eLX9eX467f87M/q24AZdvlp/vOOg6xesnftGjXJlPSzpC0nPM7MeK9xKuIj1Ya7N9yv+1ktaWdJlKXtHS9LGW8pzO55ZG8/PUm2uT3P1OxbvtvmBmj1DcjDlEUXFiihtBt5vZzxWd1pzuo31fdv61RK9VHOtXKN6duSDVjt7h7ntJDx7fH1W8KuN0d/9wQZ5N2EmdG+2ZWQXjylytHteZozg+Crn7SjUo7gyMSTq0a/xLFReKY5JeWDLvvinNpRX5fyzl8ZSGyjsu6YYh5l9dcVfk0Q2Vp7H8pnPZmhzSd9jEMLYirG/FdlhL0uu6jy9FT6T/7lrXxYqLj2m3vopA9SLFs7nrVaT7WjoXvLRr/E5p/LjiIuvq3LnnCRX5PS2l+0xD69Fo+dK8MyXtobjQe6niJcSFw2SWr+G8Hqp43mZcESAdmf6/U/Hs1TsUNd7jiudUXyfpsMn+LhrYP3ZU3JjMlldnGFe8+2rH6bi+kp6oCIxOVucxmKzsl+bS1V3f/PDAkGVbU/F81/2S3tXAum6j6Glyac3jbRVFj8/vkvR5RcD8PsXLxWcMsPxHpn2hav8ZV7z6YOvJOtaa3v+a3pen6thoYH8zxQ2h7yhuQOS/9zsnsRznpmU+Izeu8Dpa0jdT2qeNqCx7KwL7bMgqbt5bMbw77edP7nXcjer4KFzWVO9gI/hy7kpf/syu8TNzO+9mJfOupribeHdF/nPSQbpA0iOnen0ZGt13ZknaS/E8aK+0u6W0M9MJoZFhqrfBCLftDMWF2osUzyXMmeoy9SjvHul8cVxFmkvS+WSjrvFfSPP+SNIqadxn0rjv9Fju/yiau3xLQwbFTZZPEeh/Nv0w1bp4nuTyNZnXl9L0E3LjJlxsKB43WCTpfElrjGJdFTckmhiuLinXTEWrlOwmaumNKkVt/5Hq+m2drGOjj/3++WnZb859d+OKnovVNa6voaHyvTOV78CG8vuM4pwx6QGDopb4Q+q0ysgPNypqZ+ZUzN/4sdb0/tf0vjyVx0aD3/tsRRPss9U554/0XJVb9p2K6/TVuvaZWwvSbp6mnTIZ5Svad4fcziM5PoqGla4DmdQJw53uPrdg2m2KO/1VHYjcJGleWZr0MPSGiuf2VlfsZOcqOq8YK8vXB+zJKD3U+zBF85K/++S10W4dM/tvRcdDn3L3t/RI+2XFyfCV7v6NySjfMAZtFlXE6z1TssIzs7sVvb5tVTL9FkV36bO6xl+jaEr+WHe/II3bUNJNkq5z9/kl+V2T/t1YcbxLcdf/dpWfW9xLOrhpqnzpGY2z1XlG41LVeEbD3Sub5Ta5/RrO60pFL9OPdPd/pnHjKugYwMxerqidebdXNEUatHySmjpuvep3Ly13bUVtzybqPJOyWNFs9HJ3X1x3YU0fG/2w6ARssaQrPL22Zjoxs3UUx8nveh0jNfObp9h+p7j7M7umHaroNbX0eb2u9M9VdGDV9/WKmT1Euefr3X1BjXkaP9ZS2ml5bhlFfl157KPoJX9nRbNCKa5NL5T0A3c/q1ce/TKzrRStQd7bUJaV5yqL15oscfcNcuPukbSqu88sSH+HojZ+Xve0pstnZlsqboT+p4kFjer4KFzWShgMFm6oNK3nu0p6pbGJPTfV2oAV+W2vaIt9tbt/rWvafopq7k3SqBsUTQvOqij/eyQtdvdP1imXRXf263qnm+GR5Tedy5amn6qout/N3S/skVf2TqZfu/vT6yx/WMOsb7pJ0gR390l51rjp77fPZa+quKC0oh+YlOa+VL71c+M2UTxneJu7b9iVfqGk1bsvAnLTB7nRU/XD1Ej5zOx/JP2vJj6j8eB5tusZjffW+TFqcvs1nNdQ78tscl0lHVCWZ798El+L1PSxMcDyFykuDtdqIr+mpQtUc/f1GsxvvPsmeDpOb3T3Wi/Btnjv2eaTeI5v/FhLaafluWUU+aU0cxUtCbLeWrs7F8muU3+j6FW29BnTQX93FTcMG1F1rkpB8xaKFgrZc8FXKZ6Hfai7X5tLu5qi/5AxRXPokZevSaM6Pgr5NKhybnJQRTWtotlCZfOlXmkUvXyd2e9Qkd/HFTvqW7vGb6xOW+H8cLekLQdZ/5L01/ZY38bym85lS9MXKJof1GmGMjN9b9eMal9ucn0L9qOBh4rlPVzRScA7apTt3SntNpP1/fa5rQ9My/93RZrb0j6wVm7cIWm+nxSkv0vSXRX5TWg2XGcYdfk0omc0mtx+Ded1Z/e0NG5McVFWlH7RZK3rijBM5fpK2iEt5/ap3g4l5ZuXylf6OEqf+c1J+d1TMG0k51BFb44/7CPf70r6bcH4xo+1pve/pvflEeS3uuIZ96yZ9x8UndC8Kg0fTOPGU5oLi7btqPeZpgZJp6f12Kpr/xpT17O4ivcnjku6crLKl1v2Poqmv+cpHi27Ov3/BUn71MxjJMdH4bImewNNwhcw0mBwBOX9S/pit+ka//60Ln9VXGRvkU7AY4pmjH2vf0l6gsHO9GXq4wJC0XxvSY10jXS6MYqTtKTnpBPIJYoesLZS/LisrngVw2GKHnnvkPTsHnl9JO2f/12jbG9OaT8wmevbY/7VFU0y3qxO08wvVqTPjsc3pM+mzjMU3Z3jrKeu55ZGPTRVPg34jMZklW8Eef09zTc7N+78NO7xXWk3Vo0L++m+r0zXfW+A5T5G0VPnmKSTpno7FJRvdUnfT+v7h4by/FTK78KCaf2eQ+9UQVDZQL6F5+ZRHGtN739N78sjyO9/UprbVNGxoeK5sux37c2j/m5HNUh6Syrj63PjnpzG3afoHOm/Fc9b3pvW98OTWL65kk7V8p0o5Yds/K8lze2R10iOj6JhZXy1hCTNs+Lu/udKD1Yzl847miKV2lTxBS7oGn+gomr/aO+0FX6DYud4SoPLn6uoRp+O+U122RZJWs/MZrn70op0snjvyzppnrI0fb8YVeXvnRpE5fqa2R6Svqe40/Ycn/h+uwWSFpjZiYpXonzfzPZy9z+pWNYM49c1yvYjxWslnqbl35s5jF7r209TWVM8LF5VthMUd/8+aWYHKJ4l3iWV4XtdafdKf//RRxmG1VT5Zkpa6Mt3Hb5U0YnActz932Z2l+KZlckqX9N5Dfu+zFGXb+Qs3jP2FsXv0NaK36IFii7lj3X323tk0ej6mtkZPZY3U9JD1On6fomip8ys2VsjvPqRhTrl219xjeGKF70Xst4vsc/ye5akR6X8vtRjnkrpecE5infRNm1VFT9SM4pjTZq+55ZR5PcCxbY9wt1/U5bI3U8zsyMU73t8oSr2vz41fZ3Wy08U5X9UNsLdTzezzyleCffqXFpTtGz50GQULO2nv1H01Jwt+wxJ2TOED1H06Ps4xXX8aWa2R8G1V2ZUx8dEkxUtT2JU3kRTuMm8y3Gvop14ftzaijvxi9XV9azioCu9c6ead3UUJ/03pfQXTUZ+07lsKV3W/OCQGnm+JOV3dsn0mYqDd0xxt+qilH6Z4p1UV6hz1+g29WhOPKL1/Xkqw5Y18pyf8vtZRZpbFZ0V1NnvLW2LmyZ5X64zXKMI4tetsQ7f6Zp3maTDC9L+ME1/XZ3tk8v/EYpeWJ+Y/rc+5x+6fGl7PKDcuUjRXfxyTXXS+NUUD+svm6zyjSCv56fpn8qN20xx42cs7ed/UHTlnd3lPWgq9hUN2OpAcewfX5LnjoqLl7K72jeoR0+3Ta9vQTmqhvMUnXDk5y3t9bbmUHldUHMZWfnuUVcN0ID5jeXSHZvmO1LL93w4rjger6kYrlW0/Mjy/FCN/a7WuTmlXSN993dMxrE2nc8tI8rvrrRP9fxtUHTus0Rxc2+o71Y1f3dz6Rt7LVHFMg5QvLrjVEk/UNQQrlZz3qHLp+ZraUdyfBQNK2PNYNMv0i5l8aL656m456Yfufs1NbK5V9IcM1vFOz2F7qk4aP/k6QHZnKWKnTYrw3s1sfZioz5qQVxxYmo8v+lcthI/UNy1+aSZ/dXdLy1KZGY7SPpkyu8HJXkN/WLUSVjfPRTt0f/VM6Mo/12KO1pl1lb8qPUumLtb9Ao2Jxs3Cetb2CtozgOK7XFPrYXFmfkQM/s/xbZcpPger86nSw+xL1Dcuft5r3zN7KGKd4E9V9GrY949Fi95/rC7XzVJ5btG0cvd5ooLRymat2+leNYlf9f1JYpagAWVK9ls+Zr+Lk6W9AbFj3WW//VmdqCkbyt+jLPjYIniGdmfTda6pnTDtjp4pqKXwu58Z6flbqq4ifU9xU0tk/RYxR35jSX91MweVXasjODYeFmPdXtAcVH8d5/Y2/EJGvRFzPX1WsaD5ZP0C4+Xelc5p4/8fuTul6Xx6ypu3GVccTzmx5W5X/Hs1Qe7J6Tfqu48VjezJ2piZyUPzpbK8yJF89g/FqRp/FhLeUzXc8sojo3VJN2f8q3k7uNmdr/UufYf9e/uZLaQcvdfq17LpAc1XL6ma2lHcnyUFYqhz0HxProvK07IZXdPH1C8pmBWj7yy9r8H5MadkMa9tyvtzJTv1blx7y1Ydt07qP9RNKWxUeQ3nctW8l3MUKcGb4mkz0l6hqI5wqMUF1BfSNPGFVX4hXed1ECnG5OwvksUNyPqvDdspuLisKpW+tpUxs1r5Ld5Kud1k7W+K8KgaPZ1d491H0tpnjlJZZrWz2hM8vcz5e/LVAOtDirORW9N026XtFPB9Eerc0f79U2vG8PQ+8aW6nQutU9uH9i7Ynhi+l7XrMj3vSqukaxbezku6Vl9rsuUH2srwqBoQjomaecaaXdJ30X+nZsj+91t4lw14m3XaPnUcC1tj/kbPT6mfEde0Yb0BZ6W20H+rXhB9EfT8K00LjuoTq3aMRS9Ko4r7tK+VVHjlJ1EH9mV9okp7em5cXMUPwBbqtOU7+bcuKJh87Idp8n8pnPZKr6PTSVdoOofu3FF7e9DKvK5U0N2ujHq9VV0TlTZTCGX9s1p+RdVpMluYny2Rn6fTfmdOJnf73QeJG2jzo2GKxUB1jaKZlarp/+PkPRPdW5YlPbG2mC5tlLUBH6pa3z2QuTuY+MP6nETjGGo7yNrivQPSfPTuOWCO0WHY99J56B3FuRRFgz+Pn2PpZ1Apf1yXNJvpnpbMPTcVxYoWhgNm8+Ript92TCuqEm8tmK4WnFx/W1J+071tlhZB8Wz9+NpW8+rSLdR7jf/f3PjR/a728S5qiDPWYpnKXerkXa3lLbwhnfT5VMEgnf18d0tVI0OmyZlP5rqAox8BaP6+3/6SP9GSe+pmP4KdS7E/lsFgZ6iecQRiiadY5JeXpHf2oqXOOcvqsZV0IuhornAmLq6z+1Kc5ai2UhT26+x/KZz2bryXV3RzPNcxd2i7C7YfWnca1TRNXPKY6m6eiZNJ4rCZ6kUz2zcPMnb7w3q/Ki/W7keq7r2z3emdR9T9bMLj83txx9UwSs6FIHNh3PpnjDZ3+90HRQdQIwrHhAvDaYUP4Znpu33f1Nc5oGf0WAYeJs30eqgLP3tiouedSqWv07Ks/R5X4aVeyjbfxim5LvYUJ3XVdyuaPJ4gKI1066SDla0clqsTg3XhhX5NXnN1/hridJvzJjSc7I90n45pX3ZZJRPQ9bSTuWw0r10vptVvIS+JP21krbw8hc5n614pu9V7v7VHnn9t+IC73fuvndFunUUD+Lurmg/frK7f6srzWqKDk7WkfQK7/FSdDTDzGZIWl8R4N/uE5/hLJvvGg3wYlQvecH5KJiZSfqpommiK5r4/VXRQYQUtaQ7KQI4U/QoerBXnDTM7GOKGm5X1I6eKSl7hmdLRdOl9VJ+x7n7W5pbo3pSD27PU7yPbD3FMxdl3N23yfVAfJW775/yuaZivsr8Ssp1jWIbbes9ngc0s4crev1b4O5bT0b5htFk+dR5RmlS1jX1HLyuqvcTeXpWbdTfhZndqejJdZanHl7T79zt7j6vK+3mkv4l6VR3f1pufOHvopndq+iafLmXlxeU4TbFzaM1JnPfS72cPkP1j91XDFCOoZjZQ1SvfHL3ns9Gpd+gh9bM75z6JR1ces5ssbsf23C+fR1raZ5pe26ZrGPDzB6r+H3eWOXPmpri1WnPdve/DFCGvjVxrirI81TFYwq79boOTtvlPEm/dvenj7p8ZnasohXVxZL2d/dbS9JtpLiB+ijFddBRVeuRm6/v46MugsGJ6XsFg3coHjKd7ct3tV6UdnXFsz33uPv6/ZV8NFLnJ3sqLvB/450Hz6c8v+lctgGWfbqkfZUL/Mzsu5L+S/Es6IdyaV+mqF252t0fNsQy+15fM1tV0tsVAdw6JckWSfq4pI+5e8+Hys3srYrnELKHsbOTTPZDu1TS+939473y6rGcvtbXzGYqaq+e0VWeKu7uq6bziCRd7u7bpfzGK+arzK+kfEsVvbHWOlekc9Esd581yvKlziPG3P36muXaVNHzaP6CrbHyqfO9jfK7mCPpHYqbBr06HsrymtFVlpGUL+0nS9x9g9y4eyStWnQzKe0n97v7RrlxZcHgAkkb97opZWYLU/nWnYxjI+X5FkkfUKcDtV7Hb2V+Kc/dFF3RP0Fx86u7w6bu/Eo73TOzxyk6gtitR7nyGVat7zaKVhTPUpzjamRXXD4zW0XS41U/SC18hcYoDHOspfmn7bllso6NlO+6itY+Byu+51XSpHHFe4R/JOlz7n7XAMvPL6f2724T56qCNAsUr2hYy93v7VHWmYoWWf9y961HXT4z21DSZYpj7C5JX1HUtF6v2F5bKq4LD1dcH90haTt3v6ViHYY6PupaGXsTHVavd6bMUuw8lYGgJLn7fWnHmtVU4Xoxs6cqLsR/7+5v65r2dkXzvewk4Wb2Tnf/2GTkN53LluY5VPGqiJ69a9ZwiqJn0mcommhIEfC9QPF+mE0UtXCPkvQqVfdMmpWv0fWVpBTcfdjMjlN0d1zUM+6p3uO9i115fsLMvqboFnkPxbMKpngu9jxJP3T3O3rlM4L1fZ+iE6AHFM83/lbxbESdXtP2TX+XFIxryhJJa5nZajVvNK2l+KEbdfkWKO4ob1Yz/R8Uz5Tkf19GUb6RfBdmtrFiHear3g0DdaUb9b5yo6QtzGyGd1oq3ChpKzPbyie2Opit4n18bZv4frz7JK1mZpuVBf+pdm62opdZaRKODTN7paRPpI9XKVoc1D12y/J8u6In3FV6pc1mqchrT8X7xVbPlXHg8pnZ9ooOLNZNy12mTlPAfvN6juIZ7U3qJFf8Fk1KMNjAsSZN73PLZPxuSJJSkPdBSR9Mx312U/GOOtermYZ/d5s6V+VtrOh0pTIQlCSPd/DdleYZefnc/RYze7o6tbRvTUO3fC1tVSDYxPFRj0+DtqqjHFSzbbvqv6vsasXO8NAaeT485Xd1nbI2tL5fS+V7adf4ndR5HvG6tB51nttqLL/pXLbcvjKmuPj9pqSXa8AOOjSCTjeaXt/pPozg+71OFc8PTPWguIM4JumVNdJmnXicNQnl6uv5IKVeZad6ew6xvl9O63yHooOBrVXw/OsUli97H+pWuXHfVcHz5IpXMoxLurLgO+0+D43lxh1RsfwDU7pfTeI6/z2V6/PS8D0GKy7Is+el35XOKVnHGVsrumt/t+L9Xbekdd6yIr+z0/y/V7QsGrZ8v1SnY4s9B11nRXO6B7R8D4nflfSNqqGP/A+Q9FXFTb4rVP0+wwnXQdP9WGvjoGav+YY+VxXkeUs6bnt2UqaoiLlfXf03jLJ8Ke266fzx19zxN57+/2s656xbI59JOz6mfMcbwY78Xg3eBXI2HFWRf76Th9Iu+RVNWc5QrpMHSV9Pw4dz6b4+wPC1iuVekpa5Udf4L6Ry/0jSKmlcFph8ZzLym85lS2nO0/IdxmT7w38knaiowXtEA/voQJ1uNL2+Izj29pK0Rx/pHytpr0n8fpcomqjOqFvGyRy0fOdUr1TBBaDivPJGdTqnGnlgq/6DwZsl3TvV23OI9c1euD4pr+4YoHxDv+pDPYIBVbw2Ip2zxiUdPYnrvFRxIbV2Q/n9JG2Xo3PjJuznitq0KxQXoJtV5Lc45dfztTo1y7cw5bfdkPmckdbrTEXz36a+j9Vy2zC7zuo1TLhBNN2PtTYOTf7uNnGuKsgzC+AOqbEuL0nLOnuyylewjNUUraM2Up+dq03m8THlO17jKzT6d7NtrdTZh6KL91dLeoSi+niuooegoxSvlxhTNOPaOs2bLeeyXH79lrHwpJrL7xbFc0fd469Jy9klN27DlN+CychvOpctl27NdDL4oOIu6rKufWlM0dzxB5JeJ+lRk7hvN76+DZdvXNL1faS/VtIDk7gvXyFp0YjWfVVF89q5iucNBsnDFDcIsn3tesVLv49VNDX+Rdom2fni16pZYzBM+dRHMKjo6GJM8YzGpG6/pvJKx/wSpQue6bavaIpf9aG4wDpMNWvAGjo2/q1o7tbUOlyfts/c3LhxFfSQKmm/NO3zFfndKunOBst3p/roor4inyyo3LKpsqV835Xb136uaEXzVFW/z3DvgnxGeqw1tf+NIq9B8lPccN1L0q4F4/oaKpbR5DXfKFpIHaFOLf72Fel2UOf3srAX9KbLl7bReX18/79TRcvByTg+smGl60AmPWy5bvZR8eXcqqiFKDOuuEhcWHMZz1RUJa+l6p6b7pH0Inf/ZZrvvWnabe7++a5xfXH395eU7T5FL1/r58Ztovjxu83dN+xKv1DxmoTC5xqbzG86l61MegB5D0UvmHsrenydqc737l7wsG4TnW4UpBn5+g6jrFOKivTXqrqzpqb3lw8rOsvZ093PrVPGHuV/hqQXK97/2f083X8UJ/rvuPspfeQ5S9EJxSuVey4jm5z+jiuaj7zFK57lHLR8ZnaQpINyow5X1Mx8v6roivPunopnVb7l7odXpG90+zWc1zWK93XN7pW2rlHsKyXLOUDxrO5DFIHAbyQd7308M9SEptfXzL6pCEK39gae6bboNfVed18nN+4+xat/1ulKa4qav5u9oBOKlOZUxTPiG7j7ogbK9zvFb82cqmO8Rj6LFL9D6w1bpq58/6F4DOYdPkRHYKM41lK+0/LcMmx+6TfWJV3hy3dI0++FfOF1S8pvUq4zBj1XWfSu+xdJj1YES19X9NGQ77X86YrfrZmKJua79nsOHKR8I7gGGsnxUWjU0eZUDxrdu+i2VjT1u1MTa+7uULSj33oK1jd7yHyt3LhDUrl+UpD+LlXcgWwyv+lctprbdo6ip64/KdcEuSRto7VkU7G+A2yffpsT3qaCO5Aj3F/WUfwwXKbcMwIDrOcmkv6o3k2ksum/U59NtBSvJXmToqObU9JwQhpXWSMzbPk0sXVFv8OVqmgu1+T2G8V3IemTKe1jGzgmRr6vTKdhVOurqHG+Q9Exw9B3yRWtO5Z0jcs6fJlTkP5uVZ+r9kvzfrCh7fh8dTVfGzCfPymau5U+0jJgvktV87mtHvk0dqw1vf81vS83kZ+iP4NrJZ1eMK6voaKc0/o6Iy1zU0kXdG2v7mFc0QHeQyaxXP1eA/1H0TvppBwfVcNK35uou+8zonyvUTzj8woz21q5HhjTtKnyN0UN1sslfTbd1TxCcefozHzC1CvcOormc5OR33Qu2wRmtr7i7l3WzGVHRW1NVkNzpaLjgNIs6i6rZvqRru9ksnj/z/rq9EhYpNH1dfdFZravpP+T9A8z+6Hi+Ygbq8rquXeBmdlcxQXWZorv62bFczl/V9wYkqJb6UcpLhA3VHTpfq6Z7eKpF9XUc+1Sd/9hyTKvk/SpqnIVaah8Z3Vl+15FzcixFYseV7yC5FJFpzaF7+Nsavs1nVeXD0p6rqQvmNmTfcCu2EdVvlG0OmjCCL8PuftVqZe+70q6zMw+oXrHbtk6/0fSY8xsnnfeBXaZogndPpJ+lluvRytaAVWV77dm9gZJx6UeAI9x96urytaj3D80s10kHZtaOx3n7lW9nJf5guIZ0Jcqurlvyl2KjiwGrrVMGjnWpOl9bmkqP3ef373eReOG1Njv7qjOVe5+g8WrXF6p2Ld3Uaf36gcUgeIJiv417qtY3pSdSy3eL76hOt9/kcaOj54mK2KeroOiXfGrJR2proe1VdD+V312ktE17xZNDRXLOFxxYXa/pF8pqtPHFRdz87rSHqSSuz2jyG86ly2lmaeo+fuM4qWhD2j5O3iXKH5cX6DetQv93iHq2elG0+vbwLFzmOIHLRvGFc02zqgYzpR0kToPY392MtdX8QP7J1XfUVxu6Jo/6zxjiaTXquKBcMWD469TNBcfk3Ri1/5xfVf6MxSv3RjmO2mkfMPsy5NVvlGsa0q7l+JO+B2SblAEw89Qn8/gjLB8E/adHtv8WvVoddDnd7iWCjoyG9X65ubZQNIX+zh2q55H/nRK87TcuDerU7O9Wyrjzore/8Yk/bhGGfPP0t2jPnvXLMjvHSmvpYqeRavOrb8tyeMrqSwvbHAf+F4q11Ad5jR1rDW9/zW9L4/62GhyULPXfJNyrlIEghsqOmmp3UHcsOVTVBAcmhvGFcHdoRXDYYp44+z0/Zb2ytzk8dFz3SZzJ5uKQfFQ8x8lfbxg2tvTDv/gj4ek/9e1o3T3LtbXztM1b62LzxpD1Y+cSfqOlm92sEzS4QVpf5imFz5c23R+07lsue82vy/8VXHR8FzlOhqo+V3XvoBWzU43ml7fBo6t93aVpd/hLEnrTeL3u4c6nT+NSbpc0UnQmVVDbv75ab77Je3fx3Z6atqfHlDqyCHlc+Og+0zJchorX9f0LdVAU5uGt99I1jX3PeSbGvV9Tp6E8k3Zqz4UQdl4Ps9Rrm9Kt5ni3X1VzesmDBX57ZPSfC83bqaihqP7O88uhEs7C1O8UPqkPstX1RGcKX57Hugjv3GV90B+RyrbtYpzZVm6r6uit/Jc+XZQBCtDBSpd23qgY63p/a/pfbnp/ArS7aVme/Fu8ppvSs9VNfe/gcun4d5ekG3XPUd9fNQZVvpmopL+S/Eg9hfzI81sJ0kfVuz4/1EcqFtJ+oiZ/d7d/5DGFT0UO9hLHQefr3Y+HnvQIWb2f4qL30WK9uVXL5dBvEBzgeIH5+eTkd90LluXuxVdCv9U0oXuPt5rhoJONyRpjpl9vWo2dTrdkLqaYHQb4foO6qS0HCnW5euKB63fVDHPuFJzQne/qirzEazvBxQXfH9UdOz076rlF3iRYj1/6O6n1Z3J3U9NTVL/K+VxjGJdNjCzNbzGy3OnoHz56UN32DGC8o1kXZPr1H+HDN1GWb5+ram4oBylUa/vhxXP6d8k6W2K7uVvqXNuLnGOokneg03IPF5QvbfiPPIsRYDnks6V9GZ3/3tFfkeneR5QNE87XZ2eDAdxpKQ3pP/PqJnfNxS1DlXXGVumoYorHoEpT+B+iZk9W9L3zewUSR+T9Bd3v6dH3t2aONak6X1uGfWxcZaiuXR3ZzRlvi9pc6n4+n+KrzOGPleZ2TxJ93nNDiH71F2+BYpzSWZvRdxQ1UHdg9dAio7Wqh7laer46G2yIvCpGjTEO1PUuRO5W1ek3kiTqVyez1FULV+iqKLfStLqaZivOMH/TXF379lTvU1X1kHxot87tPwdmIVp/NsUd9QKu3/WiDvdWBGGURwbDZfvzvSdDvRSaMXNgTH1cXc3N+/+afv8NH3+bcrrREXPZ3ul6bcpnlPdq+4wivJVpNsnnTvPU7x0+Or0/xck7TOJ22/k6zrkvjay8vVznGnAV330yLOoZnCk34eiidSYSl5uPYLvbzVFhx9r1Ux/dSrfyxta/mUpv9rvclT8BjUydOU78hZNDWyvaXtumYRjY9rWvjV1rlI8l7hOxbwzFc+0Z53fjCmaYh85GeUb9LuYTsNK92qJbmZ2i6TZ3tXtbeqydUtFLz0XpHEbKu48Xufu883sk4pajvsUwdhixcXQfYrahbrc3fcrKd8eirbDp0t6jpc87JruwpykeAfeXu7+pz6Wj5rSw9KPVtzh2UdRa7dBmuyKpjF/UHxnZynuho6lO8r75LJ6rxrqdAPNMLPbFTd+Bupm3cyuVNROrOd9dh+fHha/S/Gc0MPMbH9JJ2v5u/imIboIb7J8BdPnKpoOPTlX1uXKkf7+RtJL3P22gjya3H4jW9cmNLyu3a0ODteQr/owsxP7KVOX1RVN591Tl+ij/j7MbLGi2ec6Q5Q7n9+z0r9/LNpXB8hviaJzsbWbOI+n/GYoLoCXDZvfkGUZtPZ1AndfpXeq/k3nc8skHBvj6u91BrcpbnI0/sqpEZ2r9lK0mrpJ0Vx2uePL4lUTZ0h6gop/lz7v7m8cVfm6ynKYomO4H1TkNy21IRgc+J0pZra24q5OYSDXhwd/NAvK93PFA6E9359kZvMVdzt+4e7dTRIxIma2gzrvGXyi4kHl7MC5p+gCpd8TdBuY2aqSHqZofvV3H7yJ16DLP13xHQ70LrD0IzrL3dcacPmLFe8xm5s+P1HRFGx7RXP0+Yo7j//pJ19332oU5cuNX13R6c6Oih/GcxU/vlk5H6J4x9rjFMfFxYpnWO7ryqex8o1qXZvS8LpmNTaDulrSkzzXLNo67yYb5tGFfDA40u/DzC6S9AjFjd0mgq1xRXOv9d19cQP5XSVpwwaD1esU69ro+wEHLEuvZqW19brGGdR0PrdMwrFR+1rDohfv8yRd4+4PHaQ8PfIfxbnqPZLep+j34+0Fy3ydpM8qzmeXKW5a3qPo6O/xafzj3P3PoyjfyqINzwwukrSema3lnfbsT0p/f1+Q3hU9HSr9SDzFzLZTXLCtqWiX3+u5qH7soXhHS8+TpLsvMLO7FBddWe2mJF3l7vt3jeuHu/s2TeanzkXGtCubu2/T5wyXSLrEzH4paV9F77O7pcllJ/itNPjzIo1/t4OWox9mtr2i56ur3f1rXdP2k/RNRdMrSbrBzF7q7mel6ZOxvp9QfH9HSXrPAHmvI+n2AebL3K1OLbPc/XeKd0lJevBH/dYsuJvq8uW8XlFbfofiWcvfFKR5d6rt/G5K+zpJx42wfKNa16Y0Wb6zuqY10epgTFGTdarijns/1pD0wq5xo/4+vqq44HueoifLYd0hPfgb34SfSHqLmT3O3aueF6rrZEn/bWbbu/ulDeQ3sFEFcA2bzueWRvNLtU+HdaVZ38zOqMgjq93aTnF9dkrKq+nf3bO6xjdxrtozlbnsucTXpL+XKh7puleSzOxzipYq+0p6maQ/j6h8K4U21AyeoagNeJO7Z+9MOUuxg73J3T+bS7ue4qC9wt0fWZJfozU+qTnIqooX3VY2BzGzmYqd8n53XyvXfONyd98uV75+ubuv2mR+6gSD065sZbW03czsoeq8Y3BvRQ2I1Fm3cUkXu/suA5Sj17InfX2HZWYfl/QWSW9390/kxm+seCayO3C+R9IO7v6vyVpfM3uN4kWu31G8C6yyE5uueYc69s3sRkXtQVkrgWHzH0n5zOxPknaV9Hx3/0mPPA5W9DD3F3fffVTlayovdd4T+i93f1maVnVRVcY99yjAKPeVJn6DzOxiRY+Qr3L3r/Y57waSbtXyNYMjPTZSmu8qnq99nbt/e5Dl5PI6W1FrMFArgYL8ZisuNl3SM9z92iHz21jxwuyrJT3d3e8eMJ+9+pzlXnWaJTZ60Zs7rho91lI+0+7cMqpjo4HarXMUjyTdOerf3YbOVVcomtmu7V2drZnZQ9TpZOVF3tU808z2UbRi+Zu77zSK8jVllMdHHW2oGTxB0cTvk2Z2gOICYBdFF/PddxizE+c/KvJ7v+JOwlAsnhVcXdI/Fb2avUYT76R3e43iO8vuFO6b/uZfRruvBtd0fk3mNYqyLcfMHqHlg7+Ns0np7wOKd+SdrTih/s5r9FiVTkj/pXhn1bw0+lbFj/0PstqxLiNf3xHIytcdMLxGEQj+TbEdlkk6XrGN36yoZZ+M7ze74zmmuFP4MjNbpnjHY5lJq1n1hp6nMbMfS1p3kB+EEtsqvrOf1kj705T2EQ0te9T2SX8vLxjXj8m8qzpUq4PkL4pgcDdFrdu0ZtEr81LFDbhvmtmHFU3Cql467+5e1ivmlxVN/t+g6Kl0WM+R9CXFRfrlFr1A/r1H+eTuJ5RMeriih9LjJF1r0bNjnfzO6Rp1lgbbN+9LAfOxJS0BBrFP+rsiHWvT0UlqrhfvUf/uNnGu2ljSwu5AMNkj/R2T9OuC6Vkt/fySvJsoX1P2SX+n5PhoQ82gSfq2omvezH2SXu3ux3el/aHipeNvcPfPj7hcNyoCgzer8wLcD0j6VPddQItnF49U/NCsKumNoy5fG9nE52juU1w0naMIAP/gfXSdbQ10urEiMbPrFTdbZrr7WG78hYqmgwe6+8lp3PaKi5t/uPv2k1S+oe54pvn77Twq7wmKF+KOpKY2Vz5T3Gg6s88sCstnZvcoWiOsW7McC1M+a3WNb2z7NZWXpJenzwvd/aRUzu4mWLW4+zez/1eAfeVVitctXdRvy4aKmsGRrW/BubmOXq0EPq1ozvxRSce5+x195N2rfLUurGqsr1KedfJzT51J5fJZkOadp3jMRYqu77Nmixsoek6VIiC4TdGscd0sT0kfcvflaqKs+pVJRe5VtKy5UdJ57v71lM/Qx1rKZ9qdWyb52JgWtVujkG7Yuhd0eJNaIx0l6RJ337Fk/tsVz9+uPtqSDid3LDT6W1R7+St7MJix6Kyh1ztTPqK4QPikj/gB0VwzpRmKu+nPUud5xb8qutKWpE0l7aR4TsMUd4UO9rZ8cZMoNdk9V53g7zwfsCc3a6jTjRWJmd0r6W7PPeiebmTcpagtWjff9Chtb+8OGkZYvr0Hmc/dz07zN9Hhzcia7ebK19cFaZcJ5TOzfyhqKnZz9wt7lGEXxQ2UCU3tm9x+K9B3MYye5Ruw1YHM7FGSvqX4vdmjn98TM5uleNWO3P39adxI19fM3qcB9uesfAX5Zc2vdlW0WhhTvErq/7N33uGSFNX7/xwWNgO75EXCEiWD5Bx+ICAgEkRFFFRAMYEiogiKiaBfgpgVFcQsiAElCuwSJIqCSFCS5LC7bN5lw31/f5xqpu/shO6Z7pm599b7PP3MvdXVp091qK5Tdc57XqH+SkFd9yszm9SifjVXYVJGXF55S8Qbm9mJeLz0DXg+wDslLQz7lsHzMH8GeDNwsqTvmtm6oez4oMf/S/rBcFxyv9M61pvsTPYl//fh7I0ntmOAp9HLfUuv91WdQht91dN4DsWJ1eNyM7sNH0NdIum4OsfPw/MOLl+GfoMFQ8YY7DVU+agPAz4LfBqflauFmcDXga+lV12anGMYToUr4NWsx3VCXi/qZmbLJB/JdmFmJwPn0Zh0A6uQbowDTpHUzFU4Oa7Q61cEzGwmzoo5QoEpNLhmXw3cXD2QCjN2I7MYg73QXjO7pAg5CvEARSOl3zvxvEu5ZwdhSf3M7Hzcg+F+PFfWK3XOvypOSLI5vtJySh392oKk9w+ge9EW6unXa14HvX4/qlFkXFQvw8wOxIk3fizpg03q/hBfKT9AITm6mX0XJ0y7XNI7U3XPxCeoT8C/XU/ghHzJJPYEnJdhPTy/6/fxlcltqBCC/APPG1nL/S9vO3u2bxlo70YaBY2r2uqrzCxZLDlL0hdS5WvjEzhLAceoRhyxma2Fu9Q+JGmzMvQbLIjGYJdgNQLmzWw0nmS01szEdZLmZZB7IPBuPB7iDVW7n8XZC38h6ZqMehYmr5d1C/J2x2eQ7sxYf3vcmKmO08AKIt2oqldoe4uGmd0LvAknULg2lF2GM4x+OT1Lb06GNBsPlq4Zk1fC/X0Vn5XeTlIrjGkDArX6ljblrYLHZ43HV3kvxmORnsMHhGvjcSbvwwd804BNJL1cxPkj+mOIeh1cibflFLVJzhLkFep+FVbfAK6Q9HytOnlgBeVBDCuguwOrNZMTBsUvATdJenMom4gbes9JWjNVdwTuhr4pcJyky+vIPByPafsnsI+khWa2E3AV3p98UtI3W21fRAXBcHsnzrhbc3ULN+obGnQFj/na7qvM7DDgCtzV9jTgL0Gv/wvtnAW8QTWYgcN7fgnwa0nvLkO/QQN1Oev9UN1w3/nFBcqbgPukLw5bX50t2X8r/oEoXV4v61Yltw//6GW95k8Ci+rsm46zZVoGOUvh8RozOtneEp7pzwc9XsRXuS9I6bRxVd3dQt2/dvD+zsHTuHT0unThPhTatwSZ2+Oz/unrXr314Qbidt2+BgW2ew1gfzzm/OhGWwd1Ojlc6ynAmxvU2xePDVuMD7o7odvvgBtLkLsAz+na9Weijn6Lg47DC5KXxJmNbVPOVGBqO/VxcpL5VWVfDG1+VwaZ7wrtOT1VdnQouzX8Pww3QK7EV3LmhO2pUPYuYFi373OvbjjJ1wMZvpf3A2+sI6Pw725RfRXuXVTv2/OZBnKvD3VOKFO/Dtzf0t+PQbUyaAMoN1uRs/dhRu8+fLbECLN7OEHHq6HaeNx9a28qSdOfBrZRld9+kfJ6Wbca17GPHIHYZvYksFate2jFkW6U1t6iEeID7wI2pj/5wQ8kfbiq7kV4/rozJX01VV7m/X0YWFvS6Hp1BgOKXhlMyR2Hsy8ejjNRJuynfcCD+OzttyVNL/K83UBYvbiQSj7Rpij6etdDGV4HBepW1rP3NLBc1v600zCzl/D+u1GuxDzypgCoTqLxHHJm46v3K6hJegrz9BjTcMNv2VT5LPxbtkKq7GGcoXGsmq80DcO9QJ5QIAszszG4kTkDT/FxOb7KWI8gSHgf8w5JjzY631CDeRqS+/GVwAV4PzwZn5gz3MjbA18xHIF/U98k6cWUjFK+u0X1VSFO+Rt4fsWECGYe8H+SvlhH3pa4K3If/t1/riz9yoSZvZFOvB+dtnBLtp6TmYuHapTl2QqdVa+ja2Gz9/jyfx++uvQRYJkGdZfBGdTm4LMcvyxTXi/rVuf5eT7HdZ8CzKuz7+Fwzq0zyNkmnPvhTra3pOd6OTyh+1/wWMj31tFzMt5Rb121r8z7+7VQr+4MYM62jsSJVdaqsW90ON+doZ3n0OYsfw69XgjtLE2/cO1XDVvde9Sp61ewrF3xgUYy8/woTip1c6Otg22dTkFeBwPl2cPjX5fwMOiVDU/ivQhYuSB5k3HWz+XalHNnuG5fyVD3y3jfe2eqbAVqfJvCM/VqDj1epWplF/9+Jql9+sLfP8dJaw4ADgSOw4mOkrQiL5DNC6Qn+5aS5P0gXJvHgA0b1NsAz/e7GPhe1b5SvrtF91XAsrjxti0wqom8FXEDquZKaBn6Fb3haTUKfz9qnqtTjerQhdsjbNvVKMu1dUDXQoxBfHZuMf7h2DfHcfvhH69F+KxJ4fJ6Wbc69TIbg7jbXB++Cl1r//lh/z9oMEDAB9P/DO06r8x72+tbB+7v8ngS56coYFCJp3tZDHy/qnwYcC/9XW0W4x/4pTtwHZMBeSH64TFDd+Y4/6140uqOXb+CZU0O9W6jxoCt288KOd2d8dWXjrhYFv3spY7bGF9duhEnqGpXz4Yuv/W2BvLeEtryzYKu41FUuVa2KOeY1DX+HrBujTrrAN+hMvlxTGrf4eH46knel8honAObBBkvp8qWwvv5ObRpyNSp35N9S0nyngn1dstwXZLwjGdSZRMp6btLD/dVA0S/tg39zOfqVKPitsTNK8oYPK1WZ53x2F+Fh+ezZcjrZd1C2TG4K0SyJbMvNzXYbsYNvNeCvG/VOd8q+MznYtzX/Fw89mhzfFbrcODb+AAn8Vlfpcx72+tb2e3FB3Sn4My8SRL1U/EE9K0MAK8J59ylqjwZyM3B09V8Hp8ZXwx8uAPXMRmQF6If+VfMnyRD31bk9StY1uywf80C70mR+hXidTAQnr3UcWsB7wnv7n/xAfX2uCGzVr2tgbxkoJ1ra9L2k3E3vZ8BWxZwLS/CB9pfwd08W5VzcVV7n8ONjnvD30l5H/CjqmN/ghsb76wq/02o/zcarF7iKzm3B/m/SZWvG45PvqMtGTIdet+KfpaLljcPmJnjeZhJyqOJEr+7lNBX4Z5HJ+fQ8UTgC53Sr8iNNg39XOfqVKPitsSNK8oY/H14WDLP6KSO3Tc8PL8vQ14v6xbKzqQ1N+JkmwSMb3DOtkg3im5vr29ltzd1H/qa3JNMA0B8lXExVW48wJ9D+cmpsmSGfXIHrmMyIC9EP/Ibg8/iMUbN6hV2/QqW9Qo5XOAyXpMi9TufNr0OBsqzl6qT23CjDrlXkDeJxm6/91FxvZpGE1dgfPX8CdyNLDn/bOB/qX3VW93VcyqTjzODrAU4o+9k6k9U1iXuwSe8nqD+t+xJ4AM57vPGqba+gBPKvBmPJd4s/P0lKt+/uTjDcHJ8YoAspA1DpkPvW9HPchnyZue4hnPSzx4lfncpoa+iwMnJMvQrcqNNQz/PNqgIZJqhF3KVpXQpJNDezP6Lz7KNlzQz57HL4T7Tj0vaoGh5vaxbKNsS2Cqpgs+CzgA+0UBUH/7C/VvSYxnOO44WSTeKbm+RMLOfhD9fkHR6VVkeSNKx4fhS22vFJ4aeiX9kxqfKlgp6jAEmKKRXMLOl8dXIGSqIZKIekr6FENPRrn55iJXCfZiCu96s0qRuYdevYFnX4XTiK+Z9DjvU1p5N9VH0s5c6tq8VfSQt1bxWbYRUTyfjk4ZfUoroqkbdVvRTve9/0fJScrfG0/+shH/zXgH+Iem+vCczs33wlaEVqd+vGv78vVshd2E49nh89fYYfNVzbMZzzsH7ooYEf73at5Qk70J89esgNUn3YGZvweP5L5T0qVBW2ne3jL6qYKK/nu1Lg36PA6sW/X7UPHawG4NF5kwpWK8X8ZmIdo3BKXggbdPE3XWOn42zh61UtLxe1q3O/lydTAvnXwafjACYpiYJ7stubztIDVYekbRJqkzUZ7yqhdcHML3c3jrnmw/0KcVOmmIwWyLJbWjfspJGlKzXlfjHbadW9MMZNLdK7boUnyQ5qdFp8eTTh+EELNdKOrCJnoVdv4Jl7Y1Tkp8t6fON2pAVRT8r5jlO/4ATDDQaiL8AHCLpnrYbkQEpY3AhPfhutAIzOx0nVzlE0lV16uzRimxJk+vIO6ZFeTXzIJYFM1sRN0QOxWMD05OdD+GrTt9SnRyH7RoyDer2ZN9SkrxxuMvvGOBwSX+rU29H/H7Mwj2RZqTklzmuKrSvasEYnAWgFENumfoVibLej1pYujUVex9mNgHPeZRQwNYaoK6J54860sz+htPLvlijXhk4lApFbjtYDo9JaxWz8Jm9MuT1sm5LoJ1Z5GqYpzR5WdKOKfkL8cD7WvVvBVavmtEptb1tIkkgP6VGWavo5fbWwgvAWma2nqTHQ9lB4ffWGvXHkLF91oYXg6TDgownW9TvUDwuI43l8OS9TVXHXdrOyVC3yOtXmCxJN5rZx4ELzWnbz03JbBWFPiuS7jazTejdVB+lvRtdwLfwvu1kPFn6Eqhn1LWKTht1rULSVHzl9EzzBN7jCauBypaY+0vAW4GfmFkzQ+YnOJHGlzPI7cm+pSR5BwPfxWMMbwljiUn46hbA6lTIEWcCXwfeZvb6kHgcMNvMjpZ0WYPz1EOzcVVX+iozWx53jx6Dp97oKf0yoqz3YwkMSmPQPGfKXeTLmbIzcIeZNc3NZmYb4CuN65AasOE++bcqg/ugpDvyt6wmlqYF17cqpFcni5TXy7rlRhigb4C7D/xLUiNXnok4hXRWrIG7zaTR1fY2gqQlDL9aZTnRs+2tg1vxoP/zzew4/KP7cbwN/WbxQp8xAo+hqYlGXgxm1ooXQ6v6PYWnUkiwB77S06jPet19GviZsuU6KvL6FXovJH3XzFbAP6wfCLP5NSdyKoc0dM0pVL9wwuk4uchX8noddACFt7dbkDQzuPZt1W1dehnB+Kv7jpjZ0XV25TZkgGZGS8/2LSXIu5T+Hjl7ALtX1Un2jQPOq9q3FM60fQnNr2s9NPzuttNXmdmZLDk5uaqZZZ0gFfCLsvQrCh1+P5aEOhQI2cmN8nKm7A/cTfPA9TsoKJdZhrbmCqatcXw/Ipsi5fWybnX2b4qzeB1bY9/euFtxco+fAfYs6r5Qg3Sj7Pb22tbJ9uIxEqcCv8bp6m8Mf59KDfr1OjK2oMKGl2zJTOJSVXVPCvu+U0POBJyVLy2j1pbsv5VsubaK0q+t+1K2fiXIGoG7DTW6F0vcmw629QlKSPVR0D1NCGQKa2+d82wPnIAPkj4f/t6+pDatHPSbleMYAzbCJ3Z2C383zWXWROYo3JtpTWrkWKNCTHN9jbI8WynPCv37sOqtVj9Xve/1sgzn6sm+pSR5k2iSA7XJpqDPzS3e17rfXQroq1iS6C9Pv/wsTm5U890rQr+B+H7U2gbdyqCZTcSXehfj/r3XN6ovt/q/Y2aP4f627zCz0yT9r0ruF/CHEiqzLK/hQafgMy6JT/cOwDVm9nlJWdyl2sUKZnZTq8eWLK+XdavGMcCngM+mC4Or2B9wd4MEbwCuMrPNqp+VvDAPwl6Fyqp1GmW2t2WYWfUqZsuQ9HTq31Lba2ajcMr2D+DvcbX7+BHA2Wb2I+CTkubVkyXpATM7FHcjW4cKw+xxWnLV+Pjw+9cqfUrzYihCv4D346xmhaJA/QqVBXwOd71ahM+w/hV4Gf+mtISC9ZtI+14HpaLg9r4OM3s38FWc2KHW/ieBMyT9ukXVq+UNx1MAATyQof76wBl47Gx1DNYcM/sdcJYyeA8FeSvgMUPvwBOVJ/2VzOw/eIqHb0p6FX8uwAlHEkwkP/p5Z5hZsso0V9K9VWV5cD+V8VKp6OG+pQx5e9bblwVWifVXi9/eRt/dibTfV30DX/0Ef/6fwImPtm8gpw9n4ZzR5HxF6FcUbqF9z6iWMegIZMzsNOAs4NeS3p3z2F/hne7pks5NlR+Bd7rgNLUXAddI+m/V8RsAB+CzORPxG3uEpCtba00mnas7j1YgVUg8CpPXy7rV2mFm9wBb48k9H0+VfwmffX4Afz7m453THnhw/CfMbAsKJt0ou73tIIeLRjNI0tJBZtn3dyngWtyoMtzVYhI+ewje0e+JG2bCP8D7K0MnaWYr4ysH82vsWxpfdQbPUbQgte+3wNvxZ+oU4GLVcUsJ7isfxF1BRuJ5uzL1ca3q1ykUqV+7sswZ3CYCx0v6Sa6GZEAB+vWRj0DhWZyRbpk21M4EC+RFSjHwFnVvzewsfKIuMYieo/+7m7hWCzhH0hkNZH2hSVNGBpn74iuD4Ln2rmgg82DcHW10SsdqCPdYOlLSnxspYBVii1WbyHsRj/MdFcrmKpBcWAHENilj4VEtSRaWU6w6vgDRS31L2fJaQZnf3TL6KnNW8CmS3t6qsmXqN1AxGI3B3+Ozum9ptipY49h98cHiHyUdGsqWBp7GO+SrgKMkzWkiZwxOuXwQ/sFau8aMTyEws0uKkCPp/UXL62XdapWb2XP4ystIpQg7zOw+YEvgrZKuDmWb4qs3D0vatIZfu5H9Y5mQbuwj6bbUeUttbzso6AMCVIh7OnB/j8Wpo+fjRvqPqg09MzN8NvYinOCpFIMgnGsiniOqDzgwa39lZvvhXgwA67W7Mh3RH2Y2F4+jGStpUbf1qUaeAYxlTPVhNQivmsitRXhVGsxsL9yVG/zb+iVJ/6mqswFOuPAuvO/dW9KkOvKyGDOJATYPT6r9rQb6rYd/D0bi7/TX8RX+Z8N51sQnoU4B1sf7oM1Vh5jIzFalQnn/KvD9lDxwQ3Vv4EOhzlRgM0mN4lpbgpk9FdrwuKR9qspyQdI6hSoXECbsR6k1ApQhjTK/u2X0VUWi1/UrClnej8FoDBadi+5QnJX0KbyznZtR1hj847A2cJikP+bRJaLzMLPX8Fm6lVJlY/FnYj4wLj04DINGSRpjTgX+vpS4PXADr2jSjZ5GeF9+gk+CnIcnSa4Odv4UPpj5gKQ/dFC3yfgK7Ick/ahJ3eOBH+CEUJln14MbavL8TFEDN9MyvBiK1K8bKFK/VmWZhwysImm5Vs+d8TyZ9CvD66DGOfLOkD9JndxdDY5p+d6GFce3ETwxmtT9JvAx4A8KzLo16lxKY2NmEd7v/wu4Su6G2eicP8AnkW7GaeDr3ctRwNU4wcfFkk6oU+984JO4N8q+qpPXLBiN1+MMiBdKOqWRnoMV5ilNVm608tgLfUtZ8szZJPcENqbC7DkNn1CYrOIIC5vpUXpflUGHzYKcEcANkh7qJf26gSzvR+FBkN3ecMt9ThvHz8ZfxuT/7+CxIie1IOsT5AyMj1v3NtwwW0gqiBsnDeoDbqxRf2q9Z42SSDd6eQN2xONo/wIMb1BvmVDnNWCHDuo3DTfq6xJKpeoOD/pNy1B3BTxI/SF8EJkEci8KZWfik1PVx/0+1Nu3hbbsG56x35elXwfvS2H6FSELX9VZDOzUC20NZdWEAc1IzNJ15wO7NtErV39FDcKrMu8tTlKxKGPdFULdFzv4DD8R2rV+hrobhuv9RIM6jwR5W2eQt02Q90iGuqsC2wK7d+radOj61yQx6bW+pWh5+Pjknxn6gfuBAzpwHzrRV+2HE659vca+z+JjuPS1/Ewn9evFrd77kd4G48rgAmCqpAktHv8CsKKk4eH/O/EkzJtJejinrI3wl/puZXS/iegezOxe4E24y961oewynAb6y0qlTjCzkfjEwf9Uw1UqrBTOk/TbjijfAzCzPwEH4mycDV0Xg4vkE/is+9s6oB5mNg+/J5mIdcxsGu5aMapBnVxxPZLuTh1bqBdD0fp1AkXqV5QsM1sWZ40W3hc82bQhGdCqfp3wOijJ9bTIe/saMFtSpjyiZjYVGCMpDzlEyyi6bwleJwskjcsobwY+yTW6zv53AqdTiUGTUqsE5onLL8fv06GSZmU5b68gjNtWUWqluhf7liLlmdlXgdOSf/F3/kn83TR8hXAdKjnzBHxN0uca6dYOOtRX/Tic432SfpYq3wr4O972Z3GjcB283btLun2oenDVej+WqDMIjcFc7i41ju930doNGDWzhXgsxhuaVi4AwUhZC5iv/iyNmNlofGZkD3wJ/Vqc2Wx2J+T1sm7hmM/jMScvA+fjlP+J+0C/yQAz2w13gbxJIY6ibBTd3hL0exkYlmPANg1YVG9AWcL9TYhB3qgmbH5mtiE+O/9kLWM/1GkrrsfMpuADwmrWwUwws9n4tVmpzv6eiTsqW7+CZR2Nz9qfiZOBXI67C77QqD1qFI9RrH5tfeOCjFLdpYp+9hI3J/zbXJdBN9RdAe/DX2l1UjgvEuMTWFbN86YNxxN1z6lnPJrZdNw7YYyaDNLMibFmU8d4NLNzgU/j9+813DPDqgeGZvYzPM/p0ZIa5mWrOm5r4M1UUl4cm9o3HFgNNz6fySozL2qM23qybylKnpmdTCVf4P24N8OfVMVnEcKV3obf/y1xw+hUSefX0i0cU+SYr+2+qobMB3F32NWrrsl38RQzVwLvkNSXchn/laSjOqFfLyKLMdj15cuiN4rPbTeLlNtoC/Km4DOanWr/SfiS9veryocB97JkXpI7gaU7Ia+XdQvHjcVnf9KuA33A92rUvSjsP2Og3tsS9JuLDzZGZqg7Ep+Rq+vSXcL9/UGoe2MjHYNuN9U6d1W984O8f+Idbb16q+If7MXAeanyBcALbVzvF/ABYCn6deB5KUy/gmUlz1P62Wq6dbCtx+CDnXaufanuUkU/e/gAbzHwjQxt+2Y495Xh/7WK2hqcc1LQ77gM+h0f9JvUoM6dQd5hGeQdHuTdVWNf4k7+Ks5aPIz6LpX7hLpXZHyGVsaTpPd7hqrqjMRjxhfhLN2F9B01dKket/Vk31KEPNxYnBvKv4lPwDa7PsPwVBZ94dg1G9QtcszXdl9VQ+bL+Cp8dXniqr1NqmyVoOdTndKvF7d673y/Ot1WsoRGJx+qm1rcXqvqVAo1LjvQ/qRz3qWq/KjQljl4YvXP4x+IxcCHOyGvl3VLHbsczgr6F5y17r016iyDrwr+gwwxHb16b0vQ75/hnJ/MUPeTQed/dPBZXpfKR/Q/+CziRsCyePD+Njjb3zOhzhwaJKCnzbiesvuWdvXrwPNSmH4Fy5pEC8mbO9XWgq79MVX6J9/NRm28EY9z/Sq+ut6x9gJ7URl8/hzYuEadbakYjYuBPUN5ViO32baogX7HUhloHwdLJrnGDaMTcXbSxcD7G8g7OcibAry5Qb2D8ZWjxcAnauz/E1VGKvWNwTGhbt1YxlTd0bih0oevaF2MT5zXkntGqPe5Ep/namOwJ/uWIuQBXwllV7dwnZJv6lcy1OnVccYCqmL5cS+uPtwLr7r+DGoYj0Npq/fO96vTbSVLaHRfAdtANgYfDy/n2KryP4fyk1NlyYzi5E7I62XdBsLW6+0FPh7OuTB8KJatUWcsHruyIOj80U62F0/3Mit5z+tsfaHOQU1kzcXjprJenxl4DrDk/7KNwbb068DzUph+Q6mtJenX1rPYifbiRmj6vX0RjxF6EI/pSb+/X65qWyFbA90MuC6l33PAr/FVoG/jaaleTul3LTUMxpS84cB9KXl3Aefifewp+CrPAyl5f6cGaRfwUqgzOlVWt9/ASbaaPnfAqeG8fwOWbyQX2CTUvbXE57faGOzZvqVdeXg882Jg5xau0y7hXtzToE6vjzOmBD3GpMoSQ/XKGvWn57neg3Fr9M4n22CMGbykCDmq5LbrwzvIQ6kf6NsIv8dTEhSe+LsWzGwmftPHp8qWwl+IMcAEBZpq8xyK84EZqhPnVaS8XtZtIKDX22tmhj/vB+OxCa/hq4XPhyqr43FKI/B36Q/A4arTCZXVXjNbFzdIDwOWr9o9HV9dOFvSE03kTKeNuJ7QtyzAB1StYBfcPadm31Jk3FEZKDguqjBZZWAA6HcMBRJeldVeM3sXvjJSL7/hY7jrfseJu8zTA1yIrwymSTugMnboA34IfEpN0geY2UrAz3D2xLSs16uE32vxOL8pNWS8hhsS6T60bvxQMyKaVL2EbG1HVRLc15QbvgtJ31xKfrYaMYPT6dG+pYDvxsu4AT6i0bF15CVxozMkrVynTq+PM27CYxY/IelboU2T8DjmTyiVD9TMkpjLRyVt3An9ehFZYgbr55wYoFAJCbbxIN5JLR6bJ/l4ERiOf3DS2BxfkXlIqXxFkhaFjmnZDsnrZd0GAnq6vZJkZofj9M6fxl1ua7HozsQD3r/W5GNYSnuDkXcscGwwDJOP4ivNDMAqPIIzDR+KG5CNcCjuJvavqvLheH6oVtHo+hWhX5koUr+h1NbCIemnBYsspb2Sfg382pw5cGtS7y5wn6R/tqhv2wjG3QlmdjY+0bSEfvjKxdN1RFTLmwK8xcx2xeP9asm7QtJtDcRMA1Yxs9FqkiPZzNbB+8+nMqi3IT6RdW+ziuG7MBMnH+oUerlvaVfecriBmBvhXsxiYI+rLsO/mReY2f54XOA2+Irrr6vq7h5+c2UCGIoYdMZgSWhlRbBbeAFYy8zWk/R4KDso/N5ao/4YfOakE/J6Rjcz+0kiQ9LpVWV5IKXY00pG0devcEhaDJxlZhfi5AW1BjDXNZsVD2jn/j6Bxw+8boya2e74DOudKX2fwAPPW8Fvge2BH5rZLEk31KpkZgfjqwHC41ATFD0AL1q/slGkfqW0NUwWNBqIZ312evpeFMkgGNBye0M/PF3SyfWEB6Pvn5kaVzDM2WbnSbq81v5w/b6RQ94S/VKVvNuARgZfI9yN95kH4fekET4Vfmv1rdUYhq8eNZ3oNrNhuLEwp1ndAtHLfUu78qYAq5nZqIzf0bTMUbhR/mKDar0+zvgpzl57JPCWULYA+JikV6rqvif83tgh3QYu1AP+rL28AWsXsXVQ38twf+o/4KQYW+Av/mLg4Kq6G+AzQPd2Ql4v6UYlDuShVJ0kPqOl+NKBdm97fSvg/j5fVacPeK5A/QqJ6ynx+g0Z/YpuKzAKH4gtonafsDjs+z5Opz/Q78VJ4dxFMfe23N5OvLs19B2HrzYcEbY98fCOWnWX0AUnn7u8xXPXkvcT4IIC2vXWIP8xwjiEJePrhlEheVkM7JRBbkKCskaqrF7M4N40iVMroJ3VberlvqUtecD1Yd/hLVyntweZ1zeoMyDGGcBuuAfSh4D1auxfBvg/3HW7LnvqUNjqvZv96nRbyQ5chJG4S8MStNA4I9bX8A/bP4BzqAqaHWhbeHFfY0lCjAeBparqnhT2facT8npJN3ym+0xSBCapslzbQL23vb61eX9fA16tqrPEILMAHVfC2dfSA+VqffuAq4GVunANh4x+RcnC472uTx3zDB67dU7YfhbKknNcRwMykIFwLyiHmbml9uJG9stVsgp/d4PcncO9XlRDv0X4KuhOVccspiolTDv61Tq2yPbi7Kt9+OrNj6mQ7XwM+C4V9uQ+4NsZZX4rHHNWqmyJASc+qfL3UPdLJT6/L9Y4d8/1LUXIo0LU9ggpEpUM5xwLPBrkf7xBvSE1zhgKW633Y4k63VayAxeh0BnPgbABB+CMUH3hg3YjsE6Neg+GOod2Sl4v6zYQttjebO3FZ8IXA9ul6pQyoAyyd8Vdw27B4xMeDn9/gwb52Dp4HYeMfu3Kon+agOOpnSbAgA9SSRPwgYF8LyiRQTBvewlGBakcbGW8u3j6hvTK70JCsvrwdzIuWEQqXQ5uDC8ARhShH26czSc10C6yvXg40IWhHbWMj6SN/0fVYL+BzLXD+7EAT5cxgpQxiE+o7E8l/cQ0SpzgwHPvrV3E81fks1yGPNzAfi7cu9tJrc42OM+aoW5fOLahNwNDbJwx2LdG70eyDTo20WqY2TV47NLukm5PlR+Fz/DOwxOIz8M/DsvhvsffS9VdHVgf6FPjYO30eXfFO8T/SGrkn10azGxlYJak+TX2LQ1sGv59WNKCTsrrZd0GAmJ7++1bor1mdgHwCXyw8gAecL8n+dk7JWnvNlRvCDM7ETgE+K+kD2U85ge4e85vJP2gLN2GKsxsMj5I+5CkHzWpezzwA5w2f49O6FcGeolB0Mx+DbwDX8W4Cn93vxh+z8sjS9KX65xjP3xlBjyH4jnAbUn/YmYj8GfgNOD/4XFb+0u6wcxuxPuS3+CrbrNxgrlp5GQdl3SLmf0N2AG4ALgkyHsKN0q3zSmvLjmNma2P55fcCc/LthSeeuIO4KeSHsl6niDvMDyWbWl8/DQcn2T/B94/jQ26vwYcIum6PPIj6sPM9sFzIS+Nr9r/HPgjbnxPDdVWBLbEvy9H4fdjIXCgpL9mPM+QGmf0OlIxn8s0qteoH6grewgYg48DE3Eq3tmp8j/jwaeflnRBKDscuJyqD7uZ3YV3yudIOiPjec/CWRVvG8iDhMEKM1urKFmtvHgR5cLMxuJpLto15KQUHbOZ7YkzlM2SdGFGXU7GP8Q3pSeTzGwV4Em8Y99GUib2SDPbAne9movP1k4rQ78yUPD1K0xWVZ1peAjBspIWNpE3HM9JOUfSClX7StGvDJjZfHyyc3SqbEt8YP+QpM2q6k/Br8+IVNmeFNDeYLTchrMEJgOUvKzcRtW7W3Xev+JG3s8lHd1Ex8twIoobJb3ZzPbF3ffSRlorrOGStLSZHQn8our4luXlPKYtmNl2+KrjznWq3Im7JP49kHoVAUlaIrVIL/ctZfQFZnYQTqYynubPiuETO++T9Kcs5+8FpJ6ZxyTtW1WWBzWfmYEAM1sen5R6O7BOhkNa6geGgjHY1oynme0N3IC7nW0kqS/jeYfhPt3rAntJuqWwRuVEmE1YKfw7RTkZqMqU1y3dzGxxO+dJoeMf4DSKvn69jrztNbNN8NnL0fis+wx8xTAzFGj3A+PiY/is+jslXZFR5yPwVYQn8T5kYSj/FO6a9RNJx+XRKTAuHoO7r32zDP2KRpH6ldlWM5uHs0WuUL2vjsxpuNvVqFRZT9+LGud9EmcT3VCBQdDMTsdz+v1A0oer6s/DY3JXD/8X/W6Mx9kCN8Xd4t6Hrz7lyh+oOqmmzOnwxwJvkPRSEx1XxXOlzlIl19tueOxWot9E3G3v2Zz6rRPkvRvvlxJ5IseKYEreUs1rFQ9z1t2dqVpxlPRoqk6msVMGLGHk93LfUnJf9Qbgc8DR+Hi2FubgRuO5knI9n6nzdGWckXpmHpG0SVVZHtSdGOplmNlquHvvRPJ5COTvB9QD/qxlbrhxN7eqbEtCQGyN+lOA11L/X4x38h9q4dwnhPN8rwvtXgF3rXmI/sHxi0LZmcD4bsjrBd1Ykh2w5W2g39te34pqL23G4VAh07ixhWNvDjq/I1V2XSjbvQV5uwddri1LvxLuY2H6ldlWKvFz62eQtWHQ4/Eyn5WyN9pkECy7ve2+uzXkzQCm5qg/FU930Sn9CpGHs5IeDUzs1LPUQJc9itpqyO7ZvqUTfQHuXbIzcBxwKvCZ8PcuwDIt3q+ujzNS93y7GmVtPTMDYcMZrZOY25PxxaURpZyr243twMV8MjzA66XKTqeOkYbPPj6f+v9f4fg3tHDuN4TzPNDhNm+Pz2SmyXGqt8V4IPH2nZTXy7oFeYfiBAEP4rPR6+CxEMPx2Zlj8Bi0aXgcRKef50Lb2+tbwc/emcCn2tDl8nCuz5DTgMOTUPfhcX5J2fP4hzU3YRX+8V9MipI+pV/uYP5a+pVwLwvTr8y24jGAfThpwsgGckbiKQVqEZT19L2occ4taINBsOz24jF5VxTY3jvx+KllM9RdLtS9o0GdXjUGk/5xMfA/3Og/lgwTHU3ktmRglLX1ct8y0PqCcN4hNc7o1Q33NFgMHFT6ubrd2A5czHZnPKdTtbKY8/xzaTCjWEJ7V8VnMfvC71l43NQbw7Y3ThGe1HkFWLUT8npZtyBvR3xA9Bca5wlaJtR5DdhhoN7bXt96rb14cvrFof9YlPPY5ahaQcK9Fqa0oc9U3J2xWr+mA9ws+pV4/drWr8y24rOvc4P8/+AeHhvhibNXArbB84EllPxzgHXLamunNtpgEBwo7cUZLxfhk3p9pFIjNDjmrFD3vR3Q73fhuq9NBpbIDPLuwV02X6P/IH4xPtj/VXi+N84pdy4+EfJFYC8aTJp0YuvlvqXsdwP4Aim23wwyTwS+0GB/T313h/JG8GwkI8tvW+fqdmM7cDHbnfF8jRzuJDXOPxWY38H2nh/a8E9S1Nw16q2KM08tBs7rhLxe1i3U+1Oos3aG6zwxnPuPA/Xe9vrWa+3FWf6mkyGBa53jZwCzU/9PJ2XMtSBvHh7f3E+/NuT106+s61eEfmW3FTgIJ4ZJD56rt75QZ4lZ216/F03OvTJ1Bvc4e+GWYUsnwh4Q7aV/+oMLwn38fq0+H4+h/F6oc36Hrn1LfUszeXgc4t7Al4HJoe+oNg5fwlexPpZBbvWx84Fbga/i7O2Z898V1M6e7Vs60FflWkUmeMs12N9T390mbRkW+quVgGHd0KHk9j2BxyqXfq5BTyADYGYH4ElS18Ef8snAcZKerKr3ILAJcLik34ey5/GHfrSk13KedwRu1b8saULbDcl2zkfwFc7tJN3XpO42+MzhfyRtVLa8XtYt1HkZ71Ay0aUH4ohFklbJUr9dFN3eXkevtdfM5lBZCVpFOQPSA5nVMEljwv+P4ilr1pP0VE5ZE/EPxWOSNkzrJ2m5PLLq6Vc0itSvE20NpBin465ay1ftng5cCZwt6Ykax/b0vSgaA6W9ZvYCzlI6ORS9CV99AXgad3sDWB1fnQPPA/iPOiKlAlPPJPrl7Vvyygtjkx2pxFTtiBuM4HHwDUnRzOyNeNxycvwbwq5kQLkYuA+/zpNxVvWZTWSOBLbCr/0YGhBmSLqs6tie7VvKfjcCocqLCmROGeQ9CaxV7xnrte9ujXMeCLwb2I3Kc5fgWXxS4heSrqk+dqDBPEXWScBOku4u9WTdtnw7udHajOcteMe2dwvn2wc3Pm/tYBtzuaXis0513WCLlNfLuqXkvVbvGamqOxLPWTdnoN7bXt96rb14zE3iJppr9h6n/+4D/pcquzTIO6UFXU4N8n5aQ7/cQf219Cvx+rWtX6fbiruO7hC2dTPU7+l70cv3tmQ9k5WyenFQebfCVvHS+nVCHj7BcRDOaPxAO20K78f7Q5/2ZFpW2BaSCr+pOnYMPlk/K1W/4Vbm81f0s1z2u0H+lcFZNFhtose+u6nzTMBzBKc9M2q+k2G7FVitbL1KbvN4POfovcC4Ms/VNUr8bkDSKw32LcKXvKvxVzz57KdwX/48+BQ+U3ZDzuPawQJguJmZwtNUDyHFxjLhmE7I62XdwOODNgc+jOdOaoQP4xMI/25Sr0gU3d5eR6+1935gDWBEs4o1cED4fSBV9nuc6e+zZvYbSc9kEWRma+PGoPDVqWr99sdjgdrVr2gUqV9H2ypf/VtiBbABevZemNnu4c+5ku6tKssFVVIm9Wx766BmyonBDDNbEV9NSVbztsBX35IVuP9QWcnLhdT7cUk411rAnsBHge1wd7431dApIWHaFh/AP4BPyC8A7sa9stYPOk7DCf1qoZf7lp54N0K+uvfjxnetsW6CXvvuYmYrAXfhK4GGuzTfhD8Pr4Zq4/Hx29746v/OwB1mto1SuXgHGDbHvVO+BTxkZj/ADcNZjQ5SK6nsum35dsnaHgWsGbZRTequToVM4PQc50gYS+cCq3ewbXcGXQ/LUPfwoONdnZDXy7qFOh8PdRYCn6dGwDeem+p0vPNbDHx0oN7bXt96rb34BEDyfGSePceNx4dCW06o2ndfkPkfYOsMsrYB/htk3VdHv3+Tg366kX4lXb+29RtKbS1Bt2T2/KEaZXm2Ranje7a9VecrdOWt1/XDB8p9uDGRpAdI7vW/gG8D76AgAhDcwPw4cAXwcup8fdRYjcLp8vuAhwnpL6ha6cJjN38R9K85BuvlvqUEeWdWvYetvLt1vVHose9uOM9vqYynP0IDNlvcOP0oHs6xGPhlmbqV3O70vc16n3OR271+rm43toMXteWcKVQMu8U4K+k2Dc6zbaiTyP98h9uZdK5TgDc3qHcwTm6zGPhEJ+T1sm6hnoV7l9zrubhbwhVh+xuViYE+fFXGBuq97fWt19qLTyI9j6/IiWy09GNxYqI+fKA3qmr/hindFwJ/Bj6IuyNuELYdQtmfQ52+cMyGdfRbHM7Ztn4lXb+29StKFh73VMg2UO4F7nb0JPDXGmW5toHQ3qpzFm1sXUEL+eM6qF/SVy3EJ56+gadPWrEA2QZsDXwS/24m/Vhi/M0ErgE+C+xEjRQ6wB3hmANTZTXdHvHE6YuBt9TY13N9Sxm6hX1npq5xMlbJ6tb8LD4Orjtuofe+uxOpfB/3zXHcfvj4fhEZSAF7caPNfjnXubrd2A5d0LZzpgA/TtVbHORdg89Y/SL8/Xxqfx/wky60dTiV1YbF+NL6ufhs3Sn4cvMDKR3/TuM0CoXJ62XdUjKH4cb/9AbPynTgc3SYvaqM9vby1ovtBd5KZYD1NO4KvmGNehsGHZN4kUVUpbJJ1d0SX+3LMvPXBzwGbNVAv2SyqxD9Srh+hehXhKyM17yl2dhevxe9fG9L1LFjMXk9Ii/pq2bik0mn4G6bbVHVB1nTU31SH+7G+adw37fNcg585XIRqZWeIOuVGnXXDPuuKfv5K/pZLli35XFyo7WpsJq/lCqrta0JLJ/x3vbUdxc4LZwn9wof7pa7GPhsWfoNlq3rCpTewGLz5H0IJ49IG5DVA7XkxSzd5aVBm1fCjdNmel4NrNRJeb2sW5Xc0cAhOBX398L25VBW+gx2p9vbq1svthcfBKlKn7n4ZNJzVFaPE/3mAR/I8Lx9Cng01abq7dFQpyFtO/A+KtTxhehX8PUrTL92ZdF45nV26tovwCf7Xgh/J+WzaDAb2+v3opfvbUn69brxVrS8mXhfNa3qnszA+8xTcc+DXBObKVnT8XQSW9KCl0y4/1OryuZQJx1XaMdLnXj+in6Wy3o3gEnAFUU9M0Fmz3x38dj6xeRYFUwdu2/Q8/dl6jgYtq4rUHoDi89FNwI4Evghzlb0UNhuDWVH0uUErCldd8XdQm7BffIfDn9/A9i1m/J6WbeBsMX2dq+9VBgJr6r6MNbyNrgK2DKn/NXxSap3hG1vcsYd44HnpehX0DUsTL8y2orPgr8GXI8TYaQZppfBCTiuxfOrNczL1uv3opfvbQm69brxVlaeQcMNthPx8IZXqu7FzPA8fxansW8mt/pePojHH76dBuOsGnKewFe/lk6VPRZkrlNVdxncVbBh3uZe7lt6+d2oo2/Xv7tUYuSXa+HY5cI1/W+3r2Wvb4M+z2Cv50yJiIgYWEjn7jKz1XFjYWMgyU85Ff9oTpb0XG0pncFQ0q8oWSEv7VXAZZIask6a2SU4I+yBkq7thH4DBb3Y3k7l8RsI8sxsUyrMorvjDIzguROb5Rlckf55BjcHlqKSZ/BRnJV0En6vX6wj56/AXsD6CnmfzexX+CTYmZK+mqr7fjxc53FJG2Roe8/1LWXJa3KuzXCjbgRwg6SHipLdCZjZFNwbq6UcpGY2G59AWKlYzToLMxuLs8tujafJA5/UuQ+4WtLstuQPAWNwLrBA0riM9Wfg/uujS1WsQJjZnnjHPEvShRmPORkPUr5J0m1lyetl3QYCYnszHdPR9prZi8DK7Q7YzOww4BZJU4rRLKIImNmN+AB3ghqkIwp1V8FXX26WtE8n9GsXZnZTQaKkAhOudwJFvbspeQPZGFyHijG3Fx5XZvh9zXV+MxuHp63YM8jbEo+/TwaY/wUmSTqh6rhP4XkOT5T07VC2D74ivwi4GPfq2hwP01kaOFfS6Xn0G8wws/1wUpnbJJ1ate+zwFdwQx38fpwu6WtV9fakR7+7ZrYAdyWe0OLxL+CEScOL1awzMDPD4yY/g1/vWpgNnAN8Ta0add1emix7w33a55LBnx1/Yfol3MQDZb9JTveHDrZvJM4QtRh4e47jjsCXzx+nf/B2YfJ6WbeBsMX2FttefAXniBxyDwOOrlG+E7BHAe1Nu1h9F3gnboB0/V4M5Q2foZ9aVv1ub9R3T0u7qTXal+zv2RQNDdr+KXzFqSh5Rbt1XolPLBQl7x5CPCvuIXUc8DOcxKQ6BmwRTgZyQQHnXTb0n3eln50a9dYJOv6gqvybVc9bouPtdDFmvxc3fLV0MfDeqvKtUtft6fB9TK7pLql6PT3OCOdYgl02x/E9nU4mg/4/Td3HuXhI2q/CdmsoS+7rT1s+T7cb2oEL2VbOlBod0sPA94F3A2/ogfYdFXTMTW8N3Bza9I4y5PWybgNhi+0ttr1B9nM5ZD5Jizl7MsqvNchejOccvBh4D7BWt+/LUNtwUpiFZIhRwZn9FlIjh1qvbsAxdbZPUslLNwn4Ep7S5EM4HX3yjk0DPgEc0+22dHujxweawAlh0FjNdN6HEyHdAXwNdz/LHZNVda5RwP8Lz80knAAlfb5c1wlP0v5j4Do8z9zxDKDJzQ7e4wfDdV61qvy74bpfQWB2pWJk/yJVr6fHGQxhYxCfUEnGB2fVekfxuMizU+/3oa2cq6Ff+CDBb/HUEj80s1mSbqhVycwOxglghHeeCb6Duz9shq8cvhGn/z0+HPckHlA7Gff1fqqcZtTFIbjO327h2G/hLh2H49epaHm9rNtAwCHE9mZF1vZaTrl56+fBynjfsnvYEteq9YH1gA8AmNnTeP9yC97HPF6iThE+uNoeTx/z2SZ1T8Pv2b/KVqooSPppdZmZLY+v0LyG50ys6fZlZjsDv8ONjO3L1LPO+TfBB0ibAeNxUpF6kEpwYzWzo1P/jvKifmWZIekyM9u9GM1A0i1VRd9N/f0afo+TvuR2SXNbPZeZjQF2oeJqui2V+5H0m6/gqxeTw5YZ8hjchnG4EYDHei6Q9FJV+f749/QcSX2h7KvAx/D7luAQen+csUIb7u0rFKpJZ/FBKq6959aqIGkm8LkQG/nVcMzv855oKMQMDsdXB7fCL+q9+GzGc3hA7dr4w7wp3oH9A2fTWlAlZ3l84JYM3ram0vGlL+JzVDq+WyT9p4x2pfR6IrRhnKRZOY9dDnejfVLSekXL62Xd8hzbLcT25jq2aXvNrA94UdLqGWW+irNIthS4nhchQHwXKsbhtngfBf37mBeoTEDdIunhTug3VGBmR+GudAIuxWOU/ltVZ308huMDoeg9ktKTiAMKZnY+vtp3sKS/NKl7IE6wc76kT3dAPcxsKeAi4MP4dzrLJI1UUOxdlS59VN7HJBarr071hpCTUKXltQOpivglxL9OwvuLOyW9VsB5MLM78TFQcn2T+/E8OfomM1sLX7XJSu60Os48+nRLig9ChJi62ZJWSJVNwMeiUyStUlV/Bv5dGxX+7+lxRng/2kUpfUHZMLNXcO+Tcc0mbsLkzHQ8zG3lRnVrHj/YjUEAM1sJ/7jvF4qqG510ZNfiMUJNCR3MbBSwMxXjcAd8ljBBco6X8dn8d7WmfVM9ZuOubONaPH4GnmNobNHyelm3Vo7vNGJ7cx/fsL15jMFA7nIF8IikTVrRp12Y2Qi8X0mMw52AxDBN+pclBoAR7cPMvg18hP79eDJgXR1PRQT+7fi2pBM7q2GxMLPHcTezpn1FIDSYDbwgaf3SlfNzfgYnSAC4CbgRz+e7uNFxtVZBC9BlEpXnYmc8Sfek8P9W+OAN4Bn8mTFgArBWKJ+Bk6IgaS8ze4r6xuDKeA5S8Ji+KUHeivC6Z9ecUI6kdVprVWOY2RF4rN5l4f9kgP4/2vBaCHJekPSGjPWfBNaMfV4FgW1zPO5COCeUJRNaf5B0WFX96QDJd7bXxxnmjM1tQ02YoXsRZjYfmCNpxaaVvf5UPA/xyLznGhIvVDDu3mJmu+JEMLWoWa+o5xpTR+Y8/IN0I4CZLQNsR8U43Bn/KKyKB9qWYgziH4almtZqfLxV/V+UvF7WbSAgtjf/8a+318xOAk6qqrNymAltJGP5sAkndOgKwiz+LWHDzIbhfcyJOPV6O9cqogEkfczM7sBj5dbD+/FVq6o9BnxR0i87rF4ZWB2PfWwKSTKzxeGYTuE4/H08Q9I5zSqXCUl7Jn+n2Dr3MrPzcC+jHwNnK6RKSNWdiLsVHw/cm6yqSppY6zxm9nHgPOCveEzQ3xKPpTDe2DnI2xNfpW3FzS8rvomPmS4L/x+NG3/PFCC7l1z3ByIewJ+7DwDfCpM1iXvhzemKZjYejzF7NF1MD48zBqIRVyBeBt5gZqtLer5RRTN7AzAOX53PjSFhDCYIxl4pFLiSFprZXfgHdRH+Iu5HxY2iLEwB1jCz8ZJezXNg6BjG4jOYZcjrZd0GAmJ7M6JOe8cBE1P/C38f02X1sBCPHf5KHj2Khpktjcdm7Y5PNO2Mf8yTj2/DlZGI1iHpF8AvzGwrakwgSvpnl1QrA1OBCWa2i6TbG1U0s13wd62lQUeLWAN/1i/s4Dmz4A5gvJm9Byfg+Zqk02pVlPMJfCjM3n/GzP5RbyLBPNflN6iT61LSQkI4Slg5ucjMHlOTXJdt4vUBv6SfFygz06pHwGh8fBVRwWX4hMAFZrY/HkO4Dc4y+euqukl8atp9d6iNMwYSbgGOxO/tkWrsynlB+J3UyokGpTFoHcqZUseNK3HpMJyt6x48gLos3I9/KPenP/FNFhwQfh8oSV4v6zYQENubHbXaeymVjtFw97JpeLB7PfQBM4H/NvPRLwMp9/PE+NsBp/5OBmLz8A/ErfjE1t86reNQQzD6/pn3uGrXuh7H1fjq2yVmdoCkx2pVMrP1gEvwiZWGsYUF40VgvKT5RQgL3gEvS9oxY/1bgdWr46ISF7ywitxHxZW1Ec4FPg18FKi3qvwp/BqfWmd/Gp/BV+pOYWASrmTK/xbidFfC0yBEVPBT4M240fCWULYA+JiWzJP6nvB7Y6psqI0zBhLOw70Kj8An687BY3HnApjZiniO0M/gE5Z9wPmtnGjQxQya2UjcfWcC8E5JV2Q87gjgNzid/EZh5q26Ti2Ch+FUBmozcbKaZKB2V1EfrwZ6fxhnPH0Y2DprgHgwZP+Bs6N+VNL3i5bXy7plOa7biO0ttr0hNuclSTsUo3H7ME/WvCsV429rfJIu6VOm4rm1Eq+GeyXFmfEBgOBCuPJAiG8KhBP346s0C3D36MlUVv9Wx5/Rw/DJiZeBrSS92CH9voXHcG4p6cEC5OUlk3oST/NS09MnxE0tyhnbM6xenFbYT055mevnhTVIXp9TztuAt6WKklXPRnFhhnt57IozQ/5M0vva0WMwwsx2A3bEx6F/rY7fDK7FZ+PflwsSF9+BNs4IY/y1gPmqIhIys9HAmbjb7Ah8cuQsSbM7oVsZMLMP4qzAyZhAeNzxCCo8JYYbgh+R9MOWTqQeyKVR5Ebxue0OwZdf78Vdx9J5c57DDciP44HjS3WhvaOo5BD6E7BshmPGhrp9ODPhqDLk9bJuA2GL7R307f0n7vKU7lOewN1+Pghs3G0d49bW/R1Q+a2AjYF/s2Tey+rE3w92+tkEVsNd0W7L0i9kkJcrdxm+GrWwwf7p4V1eJYOsVcK1nN6gTk/luizqWcYH6un8qgpbX8btvziBTMeevcG+DbTvLs4DsBj4flX5MHyc3i+3Jb5As3S3r3Obbd4ZX81Nty3dxr/iWRBaPsdgXBm8HJ+9fLukXLk2UgyCl0t6ZyhLOizDg25vI6z8SWpERNExmNlb8bwihhuoFwFXqSqthZltCByMG69r4O06TNKfypLXy7oNBMT2Dt72pvqWl/BYqJ9LeqG7WkUUhaJWUzqJEKP6LuoTrV0O/EZdWJ02sw1whsT1ge/hRmnD90VL5t1LZOVhFl4Oj6uariqa/lSdm/DViKarVmZ2Ke7WeZOkferUuQOPFf4/SQ1zXZrZubg76Z2Sdm7cmtZQ4MrgHnh8W4IvVv3WQuK6/29gUjeevcGOgfTdNbNrgH3xfKi3p8oTBtV5uP7zgJPxGPuPSfpep3QsCyFG803075f/oZyxnjVlD0JjsOjcdukB29W4IXhrrxiCCczsffgHcgQVmurXgOQhGU8lZ5mFfR+V9JOy5fWybgMBsb1Age01z1m2M9kSVyPpyznUzwzrnz9JOE37rVQmmx4p47wRncFANAZ7GSFm7GvAoWTLyycFF10z2wL33klwKe5qVc023O+UuHviYbiL4rWSDqyj2/74+EB4bPLX8KTu88L+kUHGqcDe4bC3SLq+jryeynVZ1rNsZgKQFBlCu4yBMs4wT4MzEVheKfdPM/szHjP5aUkXhLLD8QmsWyXt0Uk9BxoGozFYdG677+GxPBvjL0BywV7EB2234A/av9pUvW2Y2ea4T/gBUJfqV/hH6wxJ93dKXi/rNhAQ21sTudtrZocC38JjiptWp8RktWa2CpVYwd2BzXGK76SPmULFE+FWfAawiAS8ER1ANAaLg5lthL8DK+Dv5Xz8/WiWZ3CdcPyZwBfSIsme6D0hg9tHDcjlzOzTODlMgj7c4AR35Vwqdd7PSDqv4Ul7KNdlicbgy8CK8R3JBqukRXpM0r5VZXkg1UgSPxDGGWY2E3dZHp8qWwpfyBkDTJD0cihfGu8rZqikeNrBgsFoDM7BH5TlWjx+Jm4MjqkqXwEftO2Gu4NsiQfiJhdwBk70kBiIXSN6MLPVcVeMjanQNk/FA4QnS3quzqGly+tl3QYCYnuB1p+9ffCA8qXwwd3d+OCqIcmTOpTnKHgm7ErFONwGJ6hK+pjZOJV9YhzepYzB/hGdRzQGi4OZXYnH7z+K5+m7XTkGL2Z2DPC+VNEeeB9wR4PD0u6JP5P0aIO6yXl2Bb6E91nVg+lk1fCLapK+IyXvKCq5LmuhI7kuSzQG4zuSAylvkkckbVJVlgcNJzl7eZxhnoi9T9LoVNmWOJnNQ5I2q6o/BY+DHMEARjBs1yebN1NN9/iG8gehMfg/3Jd5pbx+tMEfdyrwjKS1m9Qdg7uaJQO37XGWNfBOfz5wFxW30r/m0SUiIqJYhLiePXGWxCPVISbEVhFcy3akMgG1Az7zCd7HLATukbRbdzSMaISBONA1Z7c9iGwu1JJ0bIf0ehkflG4h6d8FyMvFJtqC/EJje6zLuS47YQyapwR7B7VjVX8raVKR5x6ICDGXAHMl3VNVlguSJhemWAdhgdkX2FCBMdXMTsdzAv9A0oer6s8DXi3rXS8bZrYOnrLmYCpuuo3wunt8rvMMQmPwT8CBtOA/n/LT/4ukt+Y8dhl8sJbQxO8MLBt2t3RzIiIiikNwAR8LrCvpf93WJy/MbBg+6fRxfNC0FCW6sUa0h4FmDJrZifigI5nUbBbH1bFnL7y7ajX8o4a8Y4B5kn5bhLzBjrKNQZwNMSHTqbWiCnADPq6bUqQOEQMLZnYZnjXgKjw36urA9fgEwqHqT2C4Ae5NcJ+kbbugblsIccF3UHGPF+4u3sybaZ285xqMBso1+MzmGWZ2ZVY3KvOcKafTYjJdSQvN7G94UO1C3MVkf3zAFhER0X0YMHMgGYLBNWQ7KrlNd8bZ0SIiCoOZvQv4Rvj3FeA6MrhQdxD/BrYxs5EqIHevpJ8WoNNQQpkEL0vhhqDhA9+bqCSWXwP4f8BOeGL1681sR0kLStQnordxHvBO4K04sSP4s/MQ8OequgeE37s6o1rh+AruEfEs8AngT2WFnw3GlcFRwON4cPVfgKPUhFXUPJn8L3Ej8iV85WBehnMNx1cDk4HaTlTcuKDSgU6VtDIRERFdg5ndhbtuLVfEgLIMBNfQnaj0KTvQP7Fsgim4C/pkSd/sqJIRmTCQVgbNUxnsgDPvHd1rsahmdiTwC+BESd8uQF4piauDS9cnccNlTWBk2isouOGeiE86ny2pIQFOiCM+LiVvVJr4I+w/BF81/Vkz/VqFma2BcykUOpEWOBqWxcNzjpR0Q516+wK/wtldT5F0YZF6DBYE75EV8Ofr1WbP10CFmR2AE8Gtgy+8TAaOk/RkVb0HgU2Aw5Uz1VwvwMxeAlaiKo1GKecabMYggJWUMyV8JHahMlDbjv5UuwleIgzUgFvUA0yjERFDHcE17BLgQ5Iu7rY+AGa2LBXX8oQ0JonTSvcpz9O/T3mok3pG5McAMwZnAaOB1SS90m19asE8n94ngK8CF0qa04ask4ALgIslnZAqH4avIryJyvsn4B5g10az8oGp+DL8Or5+bPX9N7Ob8Xf9AEnXNZC3E/A7fGK7kby/42kz9lAdttNeMSpr6DUNj009XNKVTeomaQLukbRDJ/QbCDCzA4F347Hlb6ja/Sz+3fiFpGs6rVvZMLOVgVm1JneDV82m4d+HB+JqspnNxclyxpZ+rsFoDAJYQTlTzOwgfIZwd/wDMSx1TIJncQbRZKDWlHUsIiKi8zCzi/EP57GSft1lXe7FWYkTV/J0n/I/+vcpj3VYvYg2YWYvAisPEGPwVdwQWKHbutRCIH+CsLKPM4E+ReOk85K0d60dVnDiavPUF/fh8Zbfwz2Nfk+NtAmpVc4fSfpgHXlrAPfj45Sr8VWxb+L5k6vlHQ/8ALhI0idryCrMqEzVfQJ4WdKOjeql6t8KrK6qdAZmNh2f/BqrJoNR8/QBs4GFkpbPct7BDDObgN/XxDBulAoC4G/AEb1OnBZRgZk9gnswjGn2frR9rsFqDAJYATlTrJJ0Pn38E4RBGj5Qe7L6uIiIiN6CmSUTPYfgeb+eBu4FGrmRl8aYWEUJ/l8qfcpkSc+Ucc6IzqEs17oyEFardsWNl5nd1qcaRdPnW8GJq83sx8D7gfMknRrKaq4Mh9WMl/DVik2XEOZ1LsI9li6T9L4m8tbA+7L7Jb2pxr5CjMqqurnYWBMGyBrnnIMbd+MyypkBLK2q1F9DDWa2Ej758AZ8bPoSHmv5L/oveGwO7I2T9Ah/TraRNK3TOpeJEB62Uvh3SpYwr4EAM/si8HlgP5WckWBQG4MJrI2cKaHTe4T+A7XnS1U4IiKicNSZ2GmGugPKAvT5NpU+5aVm9SM6i151rSsDIbTij8Dpks7ptj7VCC7euVGPKMYKTlxtZk/hz8jrbraN3ITD+VGdfMhm9h88t+A6SUxjE3k1jaqijMoa58trDD4LrCppmaryh4ENge0k3ddExja4u+6jkjbOct7BCjP7LfB2/Lk8BXd3Xlin7jLAB4Gv4yvXv5H07k7pWhbMc3+fiDNrb0h/t+7/AL8BvqkW07n0AkJs89/wyet9ylx4GhLGYDsws5XLiKEwsx2B4WohOWRERER+mNmZrRwn6UtF61ImzOx3+Mx/TRe5iOYow7Wu12FmZwBfCNtFg2V2vRas4MTVQd78tDHWxHibirt+jazeF/bPw4275VJljeTV1K8oo7JGvczGYJg0mQJMl7RK1b7zccKd+4F96421zGxVnOF2czxe9JRm5x2sMLOJOEliH3CgpOszHrcfFab89QaCx0I9mNn2wB/o3z9XQ8CLeLqJuzukWqEws6NxQ/BLwHDgCnxCpCEppqTLcp8rGoPdQeiQV1bMPxgREVEgBhJxSS+iLNe6XkYqJm8rfPAxH6dqb+ZCPSAnHKzgxNXBuFsOXz1eFMrqrcCNx42jlxrIm46zCI+S1NdE3hhgBs5avmoNvYswKrfAn40El4ZznlRL/+QwnP3zMNwF+VpJB1bJXQV/zsbjq7IXA5Nw4r8RwNrAXsD7cGKeacAmyartUISZnQacBfw67wqfmf0KX0k7XdK5ZehXNsLEQPLMvAp8nyXTkewNfCjUmQpsNhC9b2p4M2Uy2Fr59kdDpLsoM3dPRERERER+fBofRKRd686rUzdh6NuzfLVKxZ5V/4/CmW0boaszyW3GCd2KJ64+38ySxNUfx9vUj3XRPHH1CJzRtx7+jTONb4+7dTXCe/Fv/98b1PkPfv03xycmGuFwnISqFmv5a8AoM1sqMSrrIRiV4/DBczUOxVeM01gOZ2duBsMJf5ZwP5b0snmagD8Aq+Hv3qfryHgBOGQoG4IB2+PP6aUtHHsJnqNvILOxnor3zw/gq8nVz8OjwI3BRfp6YDP8mRqIq8m30KF+NhqDERERERERFbwF/wBXD36XgKRnw+rLOqVrVS7e320FsqBRnFBwicwaJ1R04urf4qtfXzWzfVUnBYWZ7YGT2glnFK2HPwDb4uQRb69XyczeCPxfkHd5jSpFGZVP4QPTBHsAC/Ek8fXQB8zEDeWfqQ7LuqS7zWwT3Bg/HB+8L5WS8SDuHvdtSdObtGEoIHFhvrOFY5NjNmtYq7dxIP68f6DRxICkl8zsA7hb5UEMQGNQ0p6dOld0E+0SoitXRER3YWar4SsCY2iwSj/Q4npj39IeinKtiygWRccJWYGJqwNJxz240XU38F3gQnwFYws839lhuLEzDLgNjzOtOQALq3T/xklp/gB8AzeIVsJX5BJ5HwHG4kbsm6pJRMzsc3hexislvT2ULfEsB6PyliD/I5J+UPfCkZ9AJg/CtUxSnEyrR4wyVBH6m1GtMqqa2Ww8vnWlppV7EOa59xY0i2tN1Z8BLJOODx5qMLMj8GembixhNAa7hDhgi4joPAJj4CfxQdTEDIdooMX1xr6lPRQVrxVRHMqME7KCEleHyaU/4St69QZWhq/OHCxpShO9NsZjVtduIu8J3F3uiRoyCjEqa8g9Bpgn6beN6jWDFZSvcCjBzBbg/c2EFo9/AU8hM7xYzTqD0D8PJ0PuPavkpsxsPA5GZOEoGVCDnIiIiIhWET4Mf6SSd3Q6HiPTh8cDrYRTbwPMwUkeIoYeinKtG7AIxteawOgeWRkvLU6oEVt4cPds9gwkdV80s51xspNjgO3wQSvAYjyn6aXAj+u5kVbJezgwnJ4KHI0bvGm8FOSdK2lGHRlzzOwtuFF5KJ4KJUE6n2RiVB6cZSVOdVJ2tICJVPrcLFgDJ/4Zylia9uPIBvJE4SP4u3UocGWTuofiz9eg6p9bREOOkqUa7YyIiIgYRHg/Hm/wIrCbpMQV6WVJa+Ez43viLlzDgDMlDfRYsIj8+AP+4fx8o0oZ4rUGHMzsnWb2AD45che++pbeP87MbjCzv5rZsh1ULXOcEPAB/P4d1CHd0udfJOlHknbD3c9XBSbgq8w7SfpBFkMwJW+mpDNC/7QWTvyxE7CupAmSTqtnCKZkPAxsiccqPodfm/T2MvA1PBn5EquLtWBmI81sQzNbwjAzs9Fm9jUzu9PM/mFm55jZ2KxtboJl8Mm7iKGL3+LP7Q/N7M31KpnZwcAP8X7jVx3SbcAiuol2CdGVKyKiszCzm4HdgfdK+mUoWyL2xcyG4SQSewO7S2olUL9riH1LeyjLta7XYWbn4qtphrNQLoOPEapdY38GvBs4WlIjEpQidWs5TsjMdg/FcyXdG/bvXv/o+uiRVdK2EFKnTMAXA16S9FQLMk4CLsCTnZ+QKh+GTyK8if50+PcAu1YbwkXlKxxKCNdsAc1Za+thF2Dpgfp9MLPhuKv1VvizdS9wM/3TkeyB99OG5w7dqZGL92BHljFBNAa7hDhgi4joLELg/XhgbEJDHz6sr9TIz7URPsh/nXhhoCD2Le2jiHitgQQz2xe4Fo9/PB74PR6PVytOch/cFbNj70Y7cUKpXF2PStok1EnK8qBu/HDRsW/meR+nSjoio7xf4feqI3kfzewaYF98suz2VPlRwM+AecBF4fdkfBLlY8DtlJCvcCghPLvtQgP5+2BmK+HP2X6hqPpdTiYirsUnrYZ0yEeWMUGMGYyIiBgqGAvMUP98ZPOBJdzdJD1iZjOBnTulXETvoIh4rQGGj+EDqk9LugLArG6IyR2h7tadUQ1oL07oaVzfdJ7ApKwoTKTY2Lc9cXf2rNixibyisWH4rY6nPBK/rp+XdAGAmT2Eu1G/C1iFEvIVDjEUFa85YBGMu7eY2a546pWtgZXD7leA+4ArJN3WJRUHHOLKYJcQZ+8jIjoLM/sf7h41MsUS+T98YLampOdTdZfCZ7UlKc8gr+uIfUvxKMK1rpdhZi/hbrDLSpobyhql05iGv0cdoWs3s5Px3IDTgCMl3VCn3sG4YTEO+JSkb3RIv1ypFszsWWBVScsUJO9pfKVx6aryPYGfADdJOq6JjJ/jk19HNxtEh4myxZLGp8qWwkm5xgATktjOwMg6H18BPBkn2EmwB27gtZ2vMCIiojbiymBvoyGzT0REROFIDL/VqVDS3xfKDgW+k6p7EB4z9UwnFSwId+DusBEFQdKzVJ6ZwYhxwMzEEMyATk80fBt4D+5ieK2ZZYkT+m6HdcyEEPu2Cp4iowh5I4K8mTV2vwe/Nn/KIOrPeCzoe3ASrUYYzpJELpsTYmjTJD+SFgU332UDC+nrK1vB6J0maa8M+kUMUYRJjd3xFDAXZjzmZPx5vCmuEDZHNAZzwsyOxvPrZGKPM7PD8Bil6mSPh1KhnY6IiCgfN+DB82+m4pb0C+BtwLlmNhr4Jz6o+Tzu7nRV59VsD5IO67YOEQMO04BVzGx0M4PQzNbBXauf6oRiAJIWhLjGJE5oOzyfXz/Vwm8SJ1QaYYSZbUH/2DeAUWF8UPcwKrFvw3BSlUTeWiyZ93S4me1G/YnjRN6R+FiiFqHITuH39hr7qpGstu6aoe4LwFpmtp6kx0NZwt56a436Y/Dcj9V4P+6BERFRE2Y2Evg57pnxzhyHPgP8BjjGzDYa6ARfZSO6ieZEmMl6QdIbMtZ/EndBi4Z3REQXYWabApOBSWniCzO7Es+/le4MDXgM2FHStBJ0aTRozIUaE00RbaAs17pehpn9ER/MH6mQSLyea5GZfRtnUv2ZpGO6oGvX44TM7Ez6x74Z2WMQk9i3fRJdC5AHcIikfiuAwZ1TkpbPJKiG+2edepcBR+GTZcfh3hbX4/fj0LQeZrYBngfyPknVBnxEmwjG0lrAfElPV+0bDZyJr5qPwCdKzpI0u+OKtogUKdHNeQmSUgzir/drQxHRTbQ85HXxjC6hERFdhqR/43FR1TgC+CA+wFwDj225AThPUiGuXDVwKcURWERjsFiU5VrXy/gR8FbgbDO7S9L/qiuEtAGn4YaggO93VkVHMKAyX+vAzFnQqV8fjD4FpNNM7AEspPXYt+k4qU2CtUP9Rq7JaXk/lnRznXp5xnnDyJZ/+jx8leatOJkS+DjnIfydSOOA8HtXDj0isuNDhDQfQHWaj1von+ZjC2AvM1sizUcP4xC8v/l2C8d+C383D8fzE0bUQVwZzIkWArtfBYZLGlOuZhEREQMFZjaJ+sbgVkAyk/8MlUTRE6gwBs7AXVqJ8TbFwsz+DWyEz6TWcm1L110RX5V6SNJmndCvLIRVznfjsWx/wCdJxuC0/5vgA//V8Wfxu5I+1h1N8yEDFb+oP2GbvKNGAzr+vOOCZihKnpn9C79320m6r0ndbXDX1UclbZxB9gH4YHsd3DCdDBwn6cmqeg8GHQ6X9PuWGhJRF62m+ZD0vS6omxshbcvawDhJs3Ieuxw+0fJkvTQuQwFm9iKwclwZ7BJCvODyOC12REREBACS9qxVbmbn4TOZPwbOrjGwmoivzhwP3Cvp0+VqOiSxJjC7mSEIIGmqmc0GMoUN9Djehxu2H8djucCNoYvC34YP+i8APtNp5drA++uUr4C7Zi6Pr6BMpv/Eyx64i9kM4Ms0JnwpOvbtS3iuxHZxPU6q8zUz21/S4lqVwirS1/D7fX0WwZKuBq42s5VxYo/5NeQujbuTAjzcgv4RzdFqmo8BYQzi5Eiz8hqCAJJmmtksYNWmlQc3tqUJ6VdcGWwCMzuJ/glRJwKLacwyaPgHJpndP0fSGaUoGBERMShgZu/Bmfa+Lum0JnXPxgfk75X0y07oN1QQ4qaGZfXmMLM5+KrR2HI16wzMbH3gGJx85PV0GrgL5E8llTq5aWY/KUiUJB1b5xzL46tgywFvrxdnaGY7A7/DDcLtJdVi7OxZhJQoj+I5ECcDp0q6t6rO9sDXccN3PrBxLTfhiN5Eq2k+JK3YBXVzI/SviyUt1+LxufrzoYpoDDZBCOw+M1XUyKWkGguBXwEfkvRa0bpFRETkh5mNw8kyNsNTMNTM9RVQd0BZgl534DN4KzYbdAb3l6nA3ZJ26YR+QwVlutZFNEdwkaz3na0meWq0r5Fb5/nAJ4CDJf2liT4H4kQp5w/ElXgzOxwfhyTXYhqV+MS18BVSAxYB7xnKRBsDEWY2H+hL5/w0sy3x9CpLuK+b2RQ8zceIzmraGlK5gFfKG8NvZuPx7+QzktYuQ7+iENxhi4BacYmNbqLNcSkwKfxtwE14Z3p4g2OSwO7/5sjbFBERUTLM7ETgHHymHJpP7AjoiDGIGyAzs6w+BPeXmbgLWESxKM21LiITvlSnfDhOXrM8njP0Fvq7de6Oe+5Mx8ltGk3AHoKniGpoCAZcjbuAHgrUNQbD83A8TkSVTDQ1GmOpGcu4me1fJa/ZxNUSg0BJvzOzPYBv4Ck5VgxbGncDJ0taIj2Fme0e/pybrCqmynJB0i3Na0XkRFFpPnoV9+PG4P74pEYeJORFDxSqUTmYWJCcllb44spgTpjZU8BLknboti4RERHZYWbvAhKXyleA6/DB5BKxLmlIqjc4LRQhMfNYYHWlkjbXqbsKPgiYJWlc+doNHUTXut6DmQ3Hk8xvAZwg6Rd16h0J/BAnV9pbdXINmtk8YGFW17Mw8bJ0evWlav+ywF/xlf3M7OGSajJ3mtkyeI60tyVF2cTVJ4gIct8I7IjHUBnwInBnFbNp9THJSu2jkjapKsuDpsZvRH4M9jQfZvZh4Dt4zOnWWb3szGwEvjr6RuCjkrrCfpwVYcKmEEianPeY+GLmhKSJ3dYhIiKiJSSxv5fjeeF6zXX7Ppy04us4mUcjfB0fzN3bpF5ETkh6NuSB/BV+P+4ys0aude8b6IZgC3F6r+ErcA8DN0p6rnCl+uOzuBFzTD1DEEDSr8IK3WXAqcBX61SdCkwws13SDIy1YGa74JM0zzeo9gV81e01nOL/D2SYaGqAz1Ch1P9LAfIACEZfXcOvDp4Oejxfoyyi+xjsaT4uBT6PMzxfbmZHNSOTMbOx+MTvRvg1+WnZSraLVgy4IhFXBiMiIoYEAqvYaGA1Sa90W59qBJewq/FB1k24C+LtkuaF/SOBXfFBbpLv7C2SootiCTCznai41tVCXde6gYZU+oVcMXnh7z58FetESdNK0u9h3I1qbD233VTdpYFZOJ38JnXq/BBfRXkMOEDSY3XqrQdcA6wH/EjSh+rUS+jvj5V0aZY2NWnDwzhL5GmSvt6uvIjBjcGe5sPM3gr8Hu93nsMZjq+S9J+qehsCB+OMyGvgfdRh6dXRiNqIxmCLCGxNO5PNlx9JX+6EXhEREbURcn5K0grd1qUezOzTwLmpoj6cyRA8VmopKgPxz0g6r7MaDj204lo30BCI0kbgSavHAU/gid2T1aAJ+ETEeniKhe/jEyvbhHLhLlm7lLHibmZzgdfSjIlN6jfM72tmE/BYpBWBBcCV+AA6ae/quAvwYbi78MvAVpJerCNvPv5sjJW0MGu7Gug/D/fcWi6ZDCoCZjYKv7/NxitPN9of0ZvIkOYjiTF/uJ4Lda/CzN6Hp8MYQWUi6jUqKV/Gh33g7+JruHtoUezEgxrRGGwBZnYoPgszIUt1MvjyR0RElAszuxkfuDZl6+wmzGxXnERjT2qvztwEfLGZe1tERFaE+Jqb8cHicZIur1PvcOAneEzePpIWhhXUq/DB2CclfbME/V4CVgK2lPRgk7qb44bey5JWa1BvY+AKYGPquzwm7nZHSKqbJ8/MnsEZGsc10i0rzOwFYEQRE1chjcZpOBHNOhkOibF9ET2J8G6fjbu71oujFe5hc4ak6tyLAxbBM2grfKJqDA3iiCVdllt+NAbzwcz2Aa7FZ+gX4K5CWUgo6iW+jYiI6ACCq8kfgdMlndNtfZoh0GK/CScCACe9+Udeeu2IiGYwsy/icTlHSfp1k7oJEdPnJZ0Vyo7GY3tul7RbCfr9Co+LuhfYr947ENLGXI+vWP5G0rubyF0aT8D9dmBr+r9r9+Hxxb+RtKiJnIuBDwCbNTIas8LMfg0cAUyU1CincTM5qwG34y62bRPbRAwMhBXglcK/U4pcXe4FmNnq+GTpxlSYcafiMcyTOxDD3DGY2RjcW+h9uDdGU7Sy+BSNwZwws5vwh3AycGQ9t5GIiIjeg5mdgZM9fAG4aLB9JCOKx1BwrcsZkzcMmA08IWnTUDYGd2cuJZl1iAW6DxiFD/p+iKeWqHbrPB436OYCb5L036J1qaPfmrib7H3Age26iprZZjjJxx+bGbRN5CSxkdNxMp0/AM/lceUNY54iIEl7N68W0QrMbAXgROAdeLxpYvwL+A8e1/vNOJk4cBBWAyfjLMWLgX8DW1JZiFoVWB+/19OAfwFI2iv3uaIxmA9mNgNnFlt3oDPIRUQMJaQGNVvh8XfzcRewRsxkcQAzBDHUXOuKiMkLyazHShpZ/8i2dNwdX6lbmcZunS8D71BJOe3MbK06u7bCV0efAS7AVzEbsh42mkAwszfjA/i7cDKpeyTNyanrs3g4y9skVTNLZpXR16SKaOyyBzFcplSEVDd/oBLXXAvC450PlXR3h1SLaANmdjLOFvsoThb3VHgfX5S0eqizFp47+Z3AmYm3Ru5zRWMwH0K+ocVZP5oRERG9gQyDmlro+ADGzNYBPgm8GVgTGJk2NIIr3In4x/3sZis5EfkwFF3rUjF5Td0czWwT4EHc/WyVULYUTtjwSjJIKUnPcThT4OF4fGPybiaz5pcD35E0vUQdinrfJGnpouWlCwKxTR9upLfS/2Fmx9TZtQLuYbE8vko7GQ+ZMdwA3QNfrZ0BfBl4VVLPU/wPNJjZqvik5ngq5E43Ac+GKmvg7NMfCnWm4u/5S0tKi+glmNkdwPbAwZL+Esr6GYOpuj8F3gMcJOma3OeKxmA+mNldeBzPcrUYmyIiInoTDQY1DdHJAUwgp7oMjw143c2n2iANZDi747T413VKv6GAIlzrBhrM7Dd4jNqdwP71CJZCcvVrcXbVKyS9M5Svi6dpuFfS9h3SeRncIAGY1oprZjAuDyIbK7gkHdvipFI9gUsVLS/9f0h5sbKkZYs6R5C7PHAPsBzwdkm31am3M/A73CDcvpeJuwYqzOx8fPLwAWBfSS/XqbcqHk+7GXChpFM6p2VEKwgeGMsCo5L+LfQXUyWtXFV3TeB/wHWS3pL7XNEYzIcwoLwE+JCki7utT0RExOCAmW2ExxyNxCm0f4nnVlqxhjF4JPALPPfZBzut62BGEa51Aw2BWfPvODX7y8AP8NXRF0KVJLXE8cBquIv1tpIeCsefBpwFnC/p053VPjvM7HfAOEl7m9mJuHtV4tbabBW4FC8BM1u7KFnVoStmdgFwErBTka6BwQD5BKkViwZ1D8TZZnv62RioMLNHgA2A7STd16TuNrgR/x9JG3VCv4jWEVLMzE3HYZvZHGBYLXd8M5sGLJS0au5zRWMwPwJz2LvxBLMNmdciIiIissDMfgy8HzhP0qmh7AVglRrG4MrAS3i+qE2XEBbRMopwrRuICEzZv8LZ+RrF5E0D3i3p+tSxxwNrAb9KDMReRPI+AUfhky3gzKHXkY0V/EulKlgwAiPxP4ApeCqQ6QXJfRxYVdLYDHUNJxx6QdL6RZw/ooIQ77tAGdOaBN6LZSRlYqaM6B7Cyv5aeKjIolD2GB7Hvr6kJ1N1l8GJsxa3Erc9YAPeuwUzSxJYvgb8wszOoXmguCQdW7pyERERAxl744Pw/2tWUdIrZjYbjymMKBbP4651Q8YQBJD017A6fSJwKLAJnkIJ3Dh+CF+p/pakKVXHDjQvmZPC7+XA0YPYBXhz4HQ8L/JDZvYDshHbNCPfWR3I5JYrSSEusrRY0iGOBcBwMzM1Wd0Jsb3LhGMieh9PAGvj3/nE8LsHNwaPwsMYErwHj6F+qpUTxZXBnAj+uo3Ys2ohsmhFRHQQgXkQ3MXi3qqyXCiLlbAaYUVqfnqGt97KYNg3FRhTFnvjUEVZrnUDDWY2HI+jMzwmb8APIFMrg3PxuNzVJL3SXa3KQ2q8AoHRM8NhTZlxU67Uu0u6vUndXYBbgeclrZHh/BE5YGZ3AtsBR0i6skndw/EJkHsk7dAJ/SJah5l9Cp8cPlHSt0PZPnjs5yLgYuCf+KTPh/AFvnMlnZ73XHFlMD8GlJtIRMQQxSR84PMovsKRLssD0bl+cg6wnJktreZJrsfjue8iI1zx+ApwGPBdMyvMtW6gIRh/uZ6vdExeOVoVhkV4TsRCDMEWcvG9hhMUPQzcIOmOKnk/qXVQRnk3qpJ0+2ny93lZcDVOsnSJmR0g6bFalcxsPZxjQUDD2MKIlvFbnHHyh2Y2S9INtSqZ2cF4fk7h7uARvY8rgXfhxh7wugfHt4GPASek6hpwB/1XCzMjrgxGREQMOpjZU/hH73FJ+1SV5YKkLHnm2oaZ3QLsAuwm6W+hrF7M4InAN4C/SHprJ/QbKggryGvirnXzcTKVIlzrBj0arWT3AlIrg7fghDgrFsFwWcUI2izvnlX9Dz6Ie28SA5SSl+6vqmVW70v+78PzE54oaVqmBuSEmU0A7sfjSxfgg9bJuIs1uEvo7vikykiclGgrSS+Woc9QRljBvxPPcym8r7oZj4EdgbsZ7oGnYjE8hnSnwbDSP5RhZvvjDNBr4Gy9NwCXtsKqDNEYjIiIiOgJmNnHgG/iK5j7SlpUa3BtZnvgs+yjgKMiiVWxKMu1bihgABmDhwB/BE6XdE4Bco/B01x8Hs+7N4ngGhmqTAB2A/bCV/C+gj9X2+IG0yg8JuhNkmaa2Zn4QP4E3APgCeC2Knm7AutRyS03GtgmlAsf9O9SVjxkYKC9AtiYxoRDD+EujA3zV0a0DjNbCfgZsF8oqr4fyUTCtXiM7BQiIlKIxmBEREREDyCwgd2Du4TcDXwXuBCP29oCn9k9DE+4PQwfHO7RjDQgIh96fQW5lzFQjEFJw8zsDDxp+heAiyTNa0PuOPzdHQ0cWi/W1My2w0l4ZgI7SJoVcjTeiLMGninpq2Y2Al/d2RQ4TtLldeQdDvwEjxvaR9JCM9sJT+UwHvikpG+22q5mMLOlcTe2twNbA0nus1fwNDmXA79p5vYeUQzMbFfq34srVCcfZERvwszWwtlBn2ta2euvDiwt6enc54rjiPZgZqvhLhFjaEAqE12IIiIimiH0J3/CVwwazbbfief4ijO8ET2DgWIM4i6N4K51y+PuwA/RnBW8ZixkinToAEnXNdFhP+Aa+qeQeRtuJP5d0nZm9kV8lbHpyr+ZvQtPk/F5SWeFsqOBS4HbJe3W6PiIiIjeRPBSeUHSGzLWfxJYsxUvlWgMtoBAz/tJ4CPAxAyHRBeiiIiITAiz7e8DjsFZ4oaHXYvxeJBLgR/H2faIXsMAMgbzsIEnqMsKnifvXqg/h1TevRD3NRuYI2m8mT2Mjy3GSlrcRNawcOwTSc5RMxuDxxHNkLSima2B5zDdheaT15K0XpZ2RHQHZrYnHpM5S9KFGY85GRgL3BRXCAcGgjH4oqRMaVmCMbhWK/1vNFByIhiCfwQOwDvT6bhPfx/uz78SHjANzg4YZ+4jInoIIfD67cBmuCvVMg2qd3xgFIy8HwE/CgO9FfB8b1OjARgRUQjeX7C81cmXu61f3j1JC8xsJm6kgZN+zG9mCIZjF4e0NBNTZXPMbDow1syOwlkkR5KN2CauEPQwzGwk8HM8bvSdOQ59BicWOsbMNmqVaCSipzEaZ0rOjWgM5sf7gQOBF4B3SLo9WO8vS1orGIu74vSu2+IxAJd1T92IiAh4/SP6W/z9hWyrA10dGIXB4KDNgxYR0Q1I+mnBIqcCE8xsR0l3NqpoZjviKzQvpMqWxieVk7JZwEpmtnEz4hUz2wR3dZ2SKlsqlE3HUzssjccWXoW7o04D3gGsCuwDvDuc8xM4C2UmhFjJg8g+sXZsVtkRdXE4PpFws6Qrsh4k6XIz+wi+ongo/i2MGCQws/XxxahnWzk+GoP58R58gPjpWslWJfUBt5jZXsCf8dn9/zT7QERERJSOL+IDl0XAZThpw0v4LH3XYWZP4JNKO2asfyuwenTpKgfRtW5Q4g7caCka1+HPyiVmtr+k/9WqFAghkrx716R2bYiv/ifHTcJp438c5NVMf2Fmy+KJp4UTziSYiJNMGT7Ou1DSp8IxAAskJbkRf2Vm38ATWX8VJx9pipDe5hwqnlDNJtcERGOwfRyCX8tvt3Dst/A0E4cTjcGeQ4gdfltV8fJN8o4aPpG0a/j/5vpVGwiJMYP5YGZT8I/J2IR9LKwMviJp1aq6G+FB6VdKenvHlY2IiHgdZvY08Aacne+SbutTjU7GB0Q0RiuudfE+lBczWPZEiZmtiueWHN0K2ZuZvQHPuzceJ6O5Amf7TVb6klQQh+OuXK8CW0p6Nhx/FnAa8FVJXwhpG/6Op5d4Gc91eXsNeccDq4VzbivpoSDvNOAsfLVvLLB26lx9wEuSJlS14bCg99clfbZJexPSGnDPhevwFcX5jY6T9KVG+yOaI7wLawPjJDXMfVrj2OXw1eIn4+RV7yGklDmzDRGPA/9P0jO5zx2NwXwIvvlzJa2QKpsLIGl0jfrTQ/1MA7yIiIhyEN5TA5btxdi7FozBZ3HSikauWRE5YWZb42ytuVzrJE2uJW8ooURjsJSJEjN7J3A6nsIBqsjeghvk5Xi/cWijwbeZbRHqbkBjJuDH8Lx796eOPRhPBfDXZFXRzPYBfoUndm8kbxrwbknXp+Qdj6eq+DROTT8mtW8hTlQzrkr/pXEimqckbVSvnaHuHcAOob1Hq6RchhFLwsxmA4uq71+O42cAw7KSHUV0DiGH8J6pojPxd/L8Bof14alq/g1ManVsE43BnDCz/+GzciODS2hStgZO6fp8qu5SwDz8AzOylryIiIjOwMweBSZIWq7butRCngFvmOGdAkyXtErpyg0hmNnPcUMv7Vq3xL0xs81x17p5wNaSpndB3Z5CDxmD/u16HAAATrdJREFUTSdKzOxc3Fgy4DU83s2qdTezn+HPw9GSftHkvMND3cOAN+ExPODv6j/wSYVfZjWezGxF4EQ8xmsT3JUUfAD4UJD3LdVJMWNmr+BjlWVTZYl307KS5lbVn4HnKRtDA5jZLHyFczVJMaa5gwhMtItb/Y4FoqJhze5xRPeRt99rBzFmMD8Sw291KoGa94WyQ4HvpOoehH9gci/ZRkREFI4rgM+a2U6S7ui2MmElYauq4lEhR1jdw/D4gMPwmKB7SlFuaGNXfCWmmrK9n7uopH+Z2UcJz1XYhjrKisnLjDBRsgruilmvzr7AqXj6heNxo+rZcFw1fgochX/fGxqDkhbgqV8uza95TXlT8dWBM4OhOZ6wGhjO1QzPAZub2XhJyfV4FNgR2Bn4a1LRzNYDlsVXGZphEZ62IhqCnccUYI2qe5oJZjYedxuOY9KBgXXoEKdBNAbz4wacUODNeCA4+AfibcC5ZjYa+CewOZ40VribUURERHfxNeBgnJThQElPdlmfQ4EvVJUtR6VfaQTDqezPKVqpCFbFaf3TrGyLgVE16v4Jvw+HMICNwTABMbke8UlWSDqsIH3Knij5GBUiuCvCOevVvSPUzUSsUhaC8fdSzsPuwcciWwCJG/O1wE7A2Wb2oKQXzWwlKkQ0Wcju/gnsambL1SO3iSgN9+OLD/vjbsR5cED4faBQjSJKQbv9cR5EN9GcMLNN8U51UpoUxsyupMLy9HoxHh+wo6RpndQzIiJiSYRBz/fxVfvLgQdJUbzXQlmpYczsGDy5fII9cMOi0aplOj7gZ5IeLUO3oYyyXOt6GcEdSfiKweRkk/R4l/Q5k/4TJUb2NC/JRMk+qpNc28xewl04X7+fjVxczWwa/kwswQvQyzCzA/HJ6J9IOi6UjQcexmMUk9Q1q+IuqItxAopbm8h9K55v+XRJcUKqgzCzD+MeaA/j7ulZXY5H4K7KbwQ+Kun75WkZUTTMbE88Zn1r/N0Ff3fvA34raVJb8qMxWAzMk0N/EE9mvQbufnIDcF7epfyIiIhyYGY74+5/25FxcNkplshOxgdE1IeZ/RNfTVkp6bvN7HbctW4/SdWudf8FZrZK6NALMLM78UFG4i2UvBsvALdQMQ4f6ZA+pU6UmNlrOLHb+FRZI2NwBrCMpNGp1ckZkv4Y9jdasawLSZeZ2e7h37mS7g3ydm9wWCN5/ZhQzWwZYF9gdprgyDw34SV4P5jgWeBESX/Ici4zOwM32L8AXKTArh5RLsxsFM4auSrwF+CoZqyiZjYWZ389CF9dXjfer4GBMIH9C5y0DJZkt0766huA99SLH256nmgMRkREDAWYJ3u+CadrBx/Ev0wTn3xJe5WsGvD6AHiepJj/qYsws4uBD+ArJJND2eeBLwH3AgenXOt+ixsqN0jav1s6F4EQ4rAz3p49gO2B4WF3MlB4hYpxeIukf3VIt0InShLDjwwrg2a2Dj74fkrSuqlV1EclbZLSL/dgStKwAuX1Y0LNAjNbk8rk9cPKOCA0syRH4VZ4cvv5OKFNI6NEkvbOo19EbYSV2d/jhsFzwEXAVZL+U1VvQzw04uP4fRZwmKQ/dVbjiFYQ4oTvwt28DZ8Mu4kKX8kawP/D3b6FuxDvmDGeuP+5ojEYERExFGBm1+Oza38DjlQLuXgiBj/Kcq0baDCzkfhq6J64cbgDnncxGTTkNj7a0KXQiRIz+yO+SnJkIrOBMfht4CP4auMxZjYJvwZPSzom1EnKckHSXmb2VDj2cUn7BHlJWV556+Q9phUEYzUv1Ckvi6EAM3sf8D18cjN5Vl6jQpw0nsrEZ8KY+1FJjRKYR/QQzOxk4Dw8fcyRkm6oU29fPH50HHCKpGrys+bnisZgRETEUICZvYoTtKwj6elu6xPRmyjTtW6gwsyWxydSTgW2JcTwDdTBfSrm7Qlgb0n/qzYGQ+jHacCX8cH2rr3AQpwHZvYTPP3MyRnrfx1YUdKxTeod04o+kn7aynERtRHS25yNE8PUY0AScDVwhlK5LSN6H2Z2F97fHiHpyiZ1D8d5EO6RtEPuc0VjsDWYJ6M9CNgMn4FplPhZzTrXiIiIcmFmU4Gl0nFCvYYwAD0ejz1O+pZGqy8dW52JcLTqWjeQYGYrALtRcRndAl8FTQac/8VjCD/YIX1G4knU51dP5AT31jODniNwtsyzJM1uIjPJJ/kq8AfgCGAMcBKe0++teAopA74r6WMFNqkjyOtea2ZPAmsNVCN/qMLMVsdX8DcGVgzFU3FvhsmSnuuSahFtwMym47bF2GbfGfO85rOBhZKWz32uQfgdKx1mdiJO6Z4kkq/LSR0wYGdQIyIGC8zsr/iAccVepEM3s2XxvF/JyksmSFqqea2IiPows5WB3akYf5viz2DyHD5EfyKZFzus30nABcDFkk5IlQ/DY2relNJVeEqFXSUtaiBzaeD/8HiqpVLHvl4FJ6W5EPiMpFZcI7uKFozBp4A14gRTRET3YWZzcONuXMb6LTNbxxc+J8zsXcA3wr+vANfhAbzzu6VTREREJvwfsBdwCkvm9+sFfAF3QXwNz/n1B2Lf0nGU5VrX43iJVCwgnnIlSTFxS6sMdQUiIef5WVX5u3AW1Hk4icY84GT8PToej6mqiWAoftLMvgMcg5MwTMANw5dwsoaf5mFQNU9WeCieh3hNYFSaNMXMxgDb+OmzxZia2dZV8o5N7RsOrBbktRUDHVYWVgHmtHDsqkG/0dWMphERES3jaWBDM9ta0n2NKprZNsCyQEvppuLKYE6Y2R14IP3lwNFZc7xERER0HyFH0wU4VfO5kh7rskqvw8yeANYGjpV0aZfVGbIYiq51KfbKWXgOs98D9/XKapiZPQ5MBJZPu3+a2Z+Bt+DJ4y8IZUnszK2S9uigjhsAV+Iupq+vUqafi7CS+TCwHrBdowFeWK29DI9fhRpxmsF9NkkzsAnwIk4ikeApfNK6kbeBhWOOBj4J3CVpp2btDed/J3A6vpIMVW7rIZzm8nCOQ5ulQIiIiKjAzM7H38n7gX0lvVKn3qr4wtTmwIWSTsl9rmgM5oOZzQJGA6vVuzERERG9h2Bsgc9+jwp/z8dXAepBktYrVbEAM5uPD5rGSlrYiXNGLImh6FoXjKqdcaMgGRTMBm7F3UMnAX+X1DANS4n6zQQWq39ewKWA6Xic3wRJL4fypfH3eoakFWuIK0O/8cA/8dWx+4ErgE/jqSuq2Uk/gU9InSPp9DryRuMrk5sDzwPX4Kugo2vIOwMnuTkDjy9Kez0Y+VhJDTguC+OkmZ2LtzFhqlwGH1NW6/czPDbzaEm/yKFLRMSQhpmtgrvoj8f7uovxvvg5PD56bdzb6X24XTIN2CTpC3OdKxqD+RAYCSVphW7rEhERkR29ToduZs/gg8dxnThfRG3kMQbbDdrvJQQXxy3xmME9gV2pkFEIdx+8HXcdnYSz1nXEOAwTJX2SRqfKtgT+ATwkabOq+lPwd2kEHYCZfRX4HG60vU3SogapKtbDCXjqsv6Z2anAucCdwFskzWggbxPcrfd24Eb6G4MiA6cBMBP4N/CjLF4Jgcr+WpxE6Xh8JfnZOvrtA1wPXCnp7c1kR0REVGBm2+MhI6tRf2LHgBeAQyTd08p5BuxMZhfxT2BXM1uuF0koIiIi6qIjyePbwLXAB8xsY0kPd1uZoQIzW47+rnUAwwJraBbXupH4atCARmCr+2fYLgIws82o5BncDdiPitviHDxVSyfwArCWma0n6fFQdlD4rRV7NwZnU6yJEBeaB6/hM/MPAzfWYGd8Gz5QO6URaQ2ApMfN7DVg/QbV3hHknSRpRhPdHgYWAm+UtBvwxWRH3lXuHPhY0O/Tkq4I56pX945Qd+uCdYiIGPSQdHeY8Pk4cDjOMp4QXvXhE0FXAN+WNL3V88SVwZxI5Sc6XdI53dYnIiJicCAYH/8A7gMOjK6inYGZnUmHXOsGKsxsIj6ZcgKVPIudXDW/DDgKuAo4Dk/5cD2wMh6L9qdU3Q1wEoX7JG1bR17iJVDNHppG9b7k/z7gN3h+yWlB3mwASWNT56i5khf2vYLHPw6vo99M3O1ydEIp34o8M7sUJ0P6RK3ztAozewlYCV99nZtBv2nAyPTKbkRERH6Y58FNPBOnFTVOiCuDOSHpKjP7AvAlMxNwkaR53dYrIiJi4MDM1qqz6wPApcC9ZnYBcC9O6lEXqsq7FpEb6RQKUJJr3UCCma1PJc3EHnheRahclz46uxp6HvBOPPdfEuNreDzNn6vqHhB+72og70t4zM0J+ArvE8BteHweOKvorjjRy6vA9/GYnG1C+ZHARma2SyCRExnHU4EBdHn8+amHYXiMZNNJiUBKsyw1WEAlvS+LTi1gHDAzMQQzYMCSK0VEdAuB5+BlSTsmZcH4q8lzYGa3Aqu3wnMQVwZzwsxuCn9uhXfo8/EPUqMBm9L00hEREd1HiJF6I766AM6692iWAVgB5y4q1qofe19E+yjRta5nYWYb0d/4Wy3ZFX4X4avWk3FCmVszuC8WreMBwLeAdXBjdDK+IvtkVb0HcWbNwyX9vo6sEcDNOAvmcZIur1PvcOAnuOvsPpIWmtlO+ArleOCTkr5pZg8EWRtJ+m84tl6M3yE46+jtwa2z1nkfATYA1pb0bBN5ewM34AQ/2y0hrAHM7C34/R4BXCfp2ozHvYATcTVdGTSzdXDG06ckrZtHv4iIoYxOMlvHQUR+7Fn1/yh8trARosUdEdEjCKseZwCH4bFFacwxs98BZ6nctBOZk8p3SE5EBZfh8WFDCQ/Rf0V0AZ64PUk0f7uk3PnnioSkq4GrQ8qFWZKWyL8ZmESPCv82irs9DU8RdVQ9QzCc83fBLeuXwKl4v3CHmZ2Mr+AfAXwT+Asey/MpfLWxJoLu5+HX+o8N9LsBNwY/jKduqCdvFPD1IO/qGvvfgedF/ouk46v2fR8nf0lwopn9QNJHGuiV4G48ZvMg4LdN6n4q/GbKqxgREdEylsEnynIjrgzmhJkd08pxkn5atC4RERH5YGYH4zkGR1PfkBIwFzhSUrULWkTEoIOZzcWJPhLj785axtZggZk9jOctHNuMETW4Yc4GnpC0aSgbgzNpzpC0opmthMcpjsPJdy7EDaZVJA0LFPGH4ZNQq+PU8BvVM7DNbG3cmF0aOAX4AZ4zMJG3FE7k8zU8/cR0YENJU6rk/BJ3r317epXUzHbHGWHBGUvnUZnoPljSX5pck4Q74Qlgb0n/q14ZDNftNDzthYBdJd3RSG5EREQFOZmtlwOm4DHCq+Q+VzQGIyIihgICpfu/cPbHx/EZ9ZtwSnThOcL2xgdf6+Mu4Jun2AsjIlp2retlmNkyQ4mwKBi/rymVt7BJ/VeB4ZLGpMqm4MbkyPD/rrj7aDXD6qu4Syn4BNQ0YD9Jf29yzsOAX+EG4TxgOB579w981XAslRx/h0i6roaMxN101bShGIhljgZ+KOmEUPY54KvAHyQd1uSSYGY/x/MHvopT3x+Be1qchLvpvhU3fA34rqSPNZMZETGUYWZb4CFoCS7FJ51OanQYPgl1GB7PfK2kA3OfOxqDERERQwFm9gPcLepm4KB6xE/B9epqYHfg4mSwFDE0kNO1DiCra11EBoRVK4C5ku6tKssFSbfUOUfChrlZszQuqTx+U5IZ97Ay9xrwSnrWPhBDnQ28HTfe0lgE/A74rKT/ZdHfzLbDVxl3rlPlTuDj9QxLM5uKs3iOqSp/HlgV2FTSI6Fsedywe17SGksIW1L20sD/4ZT3CdV9NQNrX9D/M5Jacl+LiBgqaJPZ2nD3/n0k3Zb73NEYjIiIGAoIzFxr4/m4GsYDmtmGwCNE0oMhh7Jc6wYKzGxr4M34SvkoScem9g0nJD+W9ExJ5+/DB0CPStqkqiwP6pIrmdlv8JWsO4H9VSdnsJkti+f/3BG4QtI7Q/m6wGPAvZK2r3HcSGBbnJV0KZz9715Js3O2IZG3Lm4QpuXdIenRJsctwI3qcamyibh753OS1qyqPw0YI2lEDt3WB44BdqrWD/hpYmxGREQ0RghDe1+qaA/cwGvkXt1Hhdn6Z836hLrnjsZgfXRihjIiIqIzMLN5wDxJKzStzOsDo1GSRpWr2evnu6l5rX5IJ8K+IcbjFIMyXet6GYHc5DIqSeWNqlyCwch5HF9V2kTSf0rQ4ync8Htc0j5VZbkgaZ0659gY+Dvu6vsyHpN3O57cHiqpJY7Hjd/5wLaSHgrHnwacBZwv6dN59eoUzOxFnC15ZVVyIh6Pt/c3ko6sqj8LWCBpxY4rGxER0Q+dZLaOxmADdGKGMiIiojMILlNjcDr0hvFRYQVkFjAnq/FYgH5pN6pGue6q9yX90R3Ae6up9iPyoUzXul6FmY3Gn5/N8Vx71wDvwpOeV6cKOAMnBTlD0tmd1rUomNk+eEzeitT/picxfu+WdH3q2OOBtYBfSXrIzNZSgfk+i4rhNLOrgf2AsyV9PrjAJ/f5g5J+nKq7Gn7vH5K0WbvnjoiIaA9hpXCepGaMve2fKxqD9dGJGcqIiIjOwMwmAbsBH5L0oyZ1k9nzWyTtWb52r3f8KwCfx3OYTsLp2NOJsHcD9sJXBL+C90Xb4sHjo4AngTfVc3uLaI5OuNb1GszsVOBc3G3yLZJmNMgbl8TQ1c2TN1BgZisCJwKH4qQnSexbH55u4/fAt6pZOmvIWQz8jwob62RJT7Sh11z8XiTy7miF3dXM3oa3Qbjb+/I4qcurwERJs1J1j8SZln8t6d2t6h4RETHwEI3BiIiIIQEzOxa4GHf5OhH4sao6wOAG90Gcsn04npD6kg7pNw7P7TYaOFTS3XXqbYcP8GYCO0iaFWKKbsRXK86U9NVO6DwYMRRd68zsXuBNwI6S7gll9YxBw9+hGa1QmPcqgjfAeMJqoKQFOY5diDN9QmWy+HnckLsFNw4zx/KkvAQSWQvxviGRlznvo5mdBXyGiqE7DfcguKaq3rW4i/Bxkn7SRGbD/TWQdmm/UdJzOY+PiIgoEdEYjIiIGBIIg9hrcXIMAS/iK2/P4bFDa+OJqFfEB4TX46skHekkzewCnEL6gFo08VV198Nd+c6TdGooS1YB/i5pu7L1HawYiq51ZjYTT1g8Onne6xmDYd8rwPKSqhkzhxTM7Hc4rfvBOMHLHmHbjgqbaNJ/vEz/lcN/N5D7RpzNOJH3hipZi4H7ElnAbY28AczzFm6PTyDdJWl61f5l8AT3Bvwiw0potbEKS7q1V+9L/u8DfgOcmEy2REREdBfRGIyIiBgyCAP7C4HjWJIOPRnM9AE/BD6lOuknStLtcZy0ZGzG+nOAFyStH/4fjifHnqOM+dMilsRQdK0Lz5LSz16DlcFhwBw8lqXw56wFIqV6kKS9C5JVEw2u0UicXXMPnHF2ezy/KVT6m6lZV1bDyv8eqW3tKll9wP2Stm2tJfkQKPBHACfgxvATwG30d2nfFVgPf2++j3s8bBPKhedL3EXSa53QOSIioj6iMRgRETHkEPKBHQZsjbsEAryCz7ZfWSQZRA6d5uHuhstnrD8TWFrS6FTZFDx+rSMMqIMVZbjW9TJSDKprS3o2lNUzdPYGbqCkFegqIqVaaEauBDWYUMtAo9XTqnrD8dXmM/BVQ9rRL/RfewIfLUJeC+cfgedr3RR/9i+vU+9w4CfAP/H8ZwvNbCfgKtwl95OSvtkJnSMiIuojMly2CDPbH08suxneqS3ToLokrdcRxSIiIpoiGHvf6LYeVZgKTDCzHSXd2aiime0IjKVChY95Euhx6bKI1iDpdDP7Ic1d667G3XX/1HEli8UNuDH4YeD0epXCyvrXcaPr6pJ0eX+d8hXwhMzLU3G3fA43/CbgK2a7AzNwttNXS9IvE8xsPE74lKzmbUllcgE8T2FemVuk5O2Ou7QnmNuysvlxGu5Sf1Q9QxBA0u/Ce/JL4FTgLEl3mNnJwKV4rsdoDEZEdBlxZTAngvvHb4EDk6IMh3Vsxi4iImJgwsx+jA+EH8UTYf+vTr21gOuADYFLJB0XyhOWx79J2rUzWkcMBoSYsofxCeJTcLKcpwirXma2FL4C+jU8dnI6sGGz2LIC9VseJ1BZDni7pNvq1NsZ+B1uEG5fNqtuemXQzFaif5zfZvj4IBkjPEIlxm+ypIaTNiHG+U0pebvhkz2JvNl4bsTX4waT80jaNMhY3EKzpCapsMzsYWAiMFZSw3MEt+LZwBMpvcbg92jGQCZeiogYLIgrg/nxReAgYBGeoPdG4CU8oDsiIiKiVXwBeBtu5D1kZlfgA7zqRNiH4/E3r+L9UYKjwm9RMVcRQwSS/mdm78Hz7l0InE0gQAlMoxvgK9GGM0Me2SlDMOALePzZwfUMQQBJfzOz43A3xM8DHUkIb2YPAhsn/+Irpw9SMdRukfRKDnl/xt/1ZakYf9OBv6Rk3iepL3VMUi89QZ1lsnqJ02eoszYwv5khCCBpsZnNx43HpGyOmU3Hn6mIiIguI64M5oSZPY0ze3WMcj4iIiIfBhIJRRrBDexyfPDdKBH2Y8ARku5PHXswHv/413qrihERjRDSllyIM2PWwp3AxyX9vXNa5SNXCkbRbFLkSiXq9QKwChUDcBbwLeCidozlEDeZyPs23ic80IjZOKzuAiyU9HxVWS406z/M7CVgJWAzSQ83qZt4LExJCHPCSvNrwCuSVm9Fx4iIiOIQjcGcCMlgDVhW0qJu6xMREbEkBhIJRTUC2cS7cYKbN+GDLoApOAPf74FfRha+9pFyoyvdtW4gIbBX7oyvRi+Fe7/ckSdXXsH6zMONnOUy1l+CXKkkvRJjcBbuwgoVI+42YBIe33hvehUvg9x0XeEuvJMSeZJeblP1tmBmv8Hj/e7EXdpruuOa2bJ4Op8dgSskvTOUr4tPaN0rafvOaB0REVEP0RjMCTN7FJiQ9aMUERHReZjZMXV25SahkPTT0hWO6ApSg+5HJG1SVZYLkpZqXiuiFZjZs/j7ubuk25vU3QXPH/q8pDVK1isxBpcGtqJ/fN8KoZrwVBy348bcZOCeRi6WZrYi/eMPN8eN8mTA9miQMwmPP3yxuFY1h5ltDPwdTy/xMh5jejtLurQfD6wGzAe2lfRQOP404CzgfEkdceWNiIioj2gM5kSgHP8ssKukO7qtT0RERDb0KglFRPfQSde6gYTAGjqOxizZCStvJ/T5IZ4b9DHgAEk1mTjNbD2c3XU94EeSPlSyXnVTS5jZ5lTyDO6Or/AnA665wO2S9s94nnG4gbknFWbSYSl5/wUmSTqhxabkhpntg8eYrkhjl/ZpwLslXZ869nhgLeBXiYEYERHRPURjMCfMbDl8BmwYcKCkJ7usUkRERAaY2fnAJ3ASir80qXsgTkIRZ64jhgTCZMlpeMqkdTIc0jHXWDObANyPGx4LgCvxlbEkyfnquMF1GJ7c/WVgq7JXzLLmGQx1D8S9EorIM7gs8GY8F2Y61+MXW5FXDUlfzqjHisCJwKHAJlRSZ/QBD+Eu7d/qMNlQRERETkRjsAUECunv46yil+PB0Q1poiVd1gHVIiIi6qCXSCjM7Ojw5wxJf6wqy4XYt0S0CzNbDZ/knEgOBspOusYG18QrcNbORitRD+HkSg2JTQrSqdHK4HpU3Dz3ANZM6QiwWFLDldcqeaOAnVLydsAZX9Msoi25OKdPQ4tGaoh1Hh9kTJO0oE1dIiIiOoRoDLaA4EZ2IT4jl+kCxjyDERHdRS+RUKTYAh+tilXL3SHHviWiXaTcMKcDXwX+ADzXayRFZrY08C589XJrnD0X4BXgPnxy9jedInczsyuB8ZL2MrM30t/4m5BUC7+LcQKoJFb5VknTG8geA+ySkrctFbfdROYreHzkZGAf3CVzCVF4yprlcffUv9M/TnpbPFXNdOBPuDH4/oyXoC2Y2e+AcZ1kbI6IiFgSg4b9rFMwsx2Bv+KB08J99V8m5hmMiOh1TAUmmNkuGUkoxlJxQysat+D9x9M1yiI6BDP7QlGysrrW9SgOwJ+9oyX9udvK1EMw8n4etpYRVuEntxvnKemwIO9FKoZpYqgtBO6lkhfwdkmzM+p3J27sJhM9icznqRiTt1Stfn6rhhwDfov3ZWfgKS/mVNUZDZyEE2aNkXREFh0Lws44AU9EREQXEVcGc8LMrsdn4P6GJ959pssqRUREZECvklBEdA+trsZWi6ELKUiKREgK3geMzZMCYaAidd+foWKsTZb0eBvy5gN3BVm34Kk45rUhD+B/KXm59TOzE3Evpk9J+kaTup8AzgdOkvTtvDq3gjwxlxEREeUhGoM5YWav4myE63SKSS0iIqJ99CoJRUT3YGaXUtsY7FnXujJgZk8AK0tattu6dAKplbfEOyp5Bl6gsvI2WdIjGeXtCtxdVJycmb0nnL+tyWYz+wdO7LK8pPlN6o4EZgL/lvSmds6bQ79oDEZE9ACiMZgTZjYVWErS+G7rEhERkQ+9SEIR0VtIudYdApxJc9e6P3TYta5wmNkFeHt2knR3t/WpRgvuvK/hhvrDuJG2hCEU7uHOVGLytscJWaDSN7xCf7fMf+VWPgfM7G5gRUnrFSRvIUBWohozmwYs06lJgWgMRkT0BqIxmBNm9lf8w7FizD8WETHw0GskFDX0M5yq/c04A+GoNMFCIJbYBl+NurUbOg5m9LprXRkws/E4uckUYJ9GxCbdQJvuvDOB7wBfbrRyF1bGdqSSy28H3EMgOW/pqTSKNo7CdTNgYrP4SDObCDwBvCppxSLO3wzRGIyI6A1EYzAnzGw/4GrgLEmFkQ9EREREmNkGuPvqJlRII/rFo5nZMHzFYz1gO0n3dVzRQYxed60rA2a2Oz7x8C089u0HOPnJrEbHSbqlfO36ufO+DRgHzMFddxMX7wn4BMlY4FU8R+jy+GTPmuHYG/BY4aYxkSHn4j7AqbhLcEfiQkswBufjZHfXAIfUM4bNbBngj8B+wF8kHVzE+TPoF43BiIgeQGQTzQlJ15nZx4ALzGx14Nx6RBQRERGDD0W7cqXkjseZitfEYxuvAD4N9HPZkrTYzL4LXAAcjq9mRhSH9YHZzQxBAEnzzWx2OGYgYxKVFbBxeHL0ZhCdG0O8H38fxuIG2neqyVmCYf5R4GxgpKRDQ/mRwI/wlfb3Aj+tFm5mKwC7UXEZ3QJPoJ5MyPwXdxUdaJiNG4P7Af8M7sC3sGSc9Cdw1/nFwFc6r2ZEREQ3EVcGcyIE2oPTIY8Kf88HXmpwmIoeOEZERHQHZc1mm9lXgc/hs/hvk7So3rkC4+l/gXsk7VCkHkMdIS58HLBuL7rWlQEze4rWclyuU7w2S8LMTsInP06U9J0mdT8KfDNdNxx/IXCTpH3MbGXcCEqMv01xwy8x/h6iP5FMR0ikSlgZfAFYFR+jpF1el6ga6rxf0m+KOHcWxJXBiIjeQDQGcyJF+ZwHA5p2PCIiooISjcF/4e6JmyXENY3OZWbzgLkD2QjpRZjZVXjevevoQde6oQgz+ye+crWcpNea1B1BxXV361A2Ds8zOlXSKlUxiAIepJJi4hZJU8poRzOUZAyuAmwAnI7HIo+rqjYd+B1wjqQn6CCiMRgR0RuIxmBOmNkerRwnaSC6mERERFShRGNwNoCksVnOZWav4HFtw6v3RbQOM9sBuA13E3wUX5Fq5lq3i6R7Oq7sEEF4N17LOvERVneHp1kxQ9lYSSNSxuAsnFzm98B93c6xWJYxWBVzvC4p0qxOG4BpRGMwIqI3EI3BiIiIiBwo0RicBSwtaVSqrJ6b6HA8HmimpJWK1CMCzOxdwE/oQde6oYiU6+7EZrn3zGwt4ClguqQVQpkB84AZklY1sz/jaSXGUbm/s4FbccN/EvB3SYuLbksT3Us3BluUcyG+KntsEXql5EZjMCKiB7BUtxWIiIiIiADgSWB4YBRthgNw8o6YB7EESPo1sBlwCTCDSjxZss0Afoy79EZDsHzcGX6/E1LD1ERg2v0WbuDdkdr1BjyH4AsAkg4CVsTZRk8G/gQswN+rc8Oxr5rZNWb2WTPbMcgeqngX8L4S5N6BG98RERFdRGQTbRNhxvGN9M9V9qjikmtEREQ+/AU3QD4FnFCvUiC/OA8f8P6xM6oNPQT3uWOBY3vJtW6I4mw8NvNA4F4z+wZwO8G4w1NL7AqcBGyOvxtnpY4/JPzelhSEb/Q/w3YRgJltRiXP4G7hnPuGQ+YAyxXXpIELMzsaJ9ZpSLDUDJIOK0iliIiINhDdRFuEma0PnAEcBoyp2j0HD8g+K6adiIgYXCjRTXQlPEZtHD44vRC4OzmXma2C9zdn4HFrzwEbSZpTpB4RxaAs17qhimCA/BBf4WvkursAOEHSpaljT8PJmb4j6c46x6bPNRHYC5+U2S4UD8Q8g0W5ifaTk4q5fIYK8c5kSY+3qXJEREQXEI3BFmBmBwO/AEZToaKuhoC5wJGS/twp3SIiIspFmXEuZrYrnjC7egXiVWB8Ug2YBuwn6e9F6xBRDGI8VPEwszfi6VfexpLvyEx8pfwcSY/klLs+lTQTewBrJLvCbx9wv6RtWlQ9qx4DxRi8E3exTbzLkoHkC/RPyZHrPkRERHQH0RjMiZDf6184scDjwNeBm4Bn8Q5xTWBv4BQ8EfF8YPM4YxYRMThQ9iA/EGCcDbwdXwVJYxHudfDZdl20IspFNAbLQwjPWBdYCTfYXgGeyBqeYWYb0d/4Wy3ZFX4XAf8gpJoAbpU0o7AG1NfrInw1+f0FybsSGC9przbl1GIlHY2T8CTXcHsq/VVyH16hYhzeIulf7egRERFRDqIxmBNm9gPgeOBm4CBJ8+rUGwVcjVOQXyypbgxQRETEwEGnBvlmNhLYFo+HWgp4CbhX0uwyzxtRDKIx2LtIuTkmxt8C4B4qhsvtedyvg7wXJL0hY/0ngTUl1eRtMLMngJcl7ZhR3q3A6pLWy6pzHmR5lkN/tSOVmMsd6M/Gq3rtjYiI6C7ii5kfb8Y7tw/VMwQBJM0zsw8Bj1AJQI+IiIjIBEnzSRFeREREFIb5VJgsJwN3hvetHdQLGWml/kTckMqKNYC1cp6/UITrNwmYZGbLA/sAp+ITWnmvTURERAcRjcH8mIDnKmpKDCPpP2Y2PRwTERExOPBbSmAVNLO1JD1dtNyIiMEEM1sT2BSPoV2mUV1Jl9XZtbykhUXrlgMjgCJzGC6DxzV2BWa2As6+mriMboF7MyRG4H9xozsiIqIHEY3B/JgLjDGzZZp9TEJi6DE4u2hEREQXUZQrl6STytAPeNLM/kd/AoaYwiAiAjCzHXCW3e2a1U2hpjHYTUPQzFYDVgFeLkjeckHeq0XIy3jOlfEQmMT425RKDk6Ah+jfj73YKd0iIiLyIxqD+fEvfAbsGOBHTeoeg8/YPVC2UhEREZlQpCtX0ejD3cMmAu8FMLPnqZBYTJb0aAf1iYjoCZjZNjhR20j8nXwWT63SrmsnZrY1Hv6xJjAqnQokTOiuhse7PZMq3x2PjUtjrJl9odGp8LQx+4e/b0/J2wLYqqr+qJBOo5m8w4BheMxjp/ASqVhA4EEqKSZukTSlg7pERES0iUggkxNmdixwMf4ROhH4cTWDWQik/iDwNZxd6zhJl3Ra14iIiArCyuCLklbPWP95YCVJ1YyepcDMxtCfnW87lmTne5n+M+7/7oRuEfkRCWSKg5ldhSec/xfwfkn3FSBzZXzlMInpN6pyCYZv+ePAqsAmkv4Tys8EzqTyXhr1cx/2O234nQbsKenBlLwvVNXLOjhLcivuI6mUGOMGeQZnAd8Bfg/cJ6lrrqoRERGtIxqDOREora+lQiTzInArPks5AlgbZ9FaEe+krwfekpXyOiIiohzkMQaDK9ezOKNfJuOxaISB6E64YbgnTt2ekEok/clUSat0XruIZojGYHEws6n4KtiWiQHVprzROIHM5sDzwDXAu4DR1ffLzM4AvgycIensUPY24JBUtWOAeXg8cT304bkQ/w38XtLU1DmOAd6XqrsHbuDdkVHez8r0GjCze/CJsXXC/3/GJ67GUemLZuNjoVtwIpm/SyoyLjIiIqIkRGOwBYS0ERcCx+FB0tB/hhC8o/4h8KlGrKMRERHloIYr1xfxAct5jQ6j4sq1IXClpCPK0TAfgsvafsAZVOKmFI2N3kQ0BouDmc0BFklaviB5pwLnAnfik7Uz6t0vM9sEd4O8XdJudeTl8jrIoF8h8szsJnzCKFMfZma/wq/B3hnqGrAllcmqXfFJcPDx0BzcFXYybhzeE43DiIjeRDQG20BIDn0YsDWwcih+BbgPH0RGZsCIiC6haFeubsDMxtOfpW9Lqlj6JL2xS+pFNEA0BouDmd0PvBEYK2lRAfLuBd4E7CjpnlBWzxg0PCxkRr1VeDPbA1ggqdFKXh79jgHmSWq00phFTl7X+CeBtVp9Zs1sMyp5BnfDiW2SPneOpMJZmCMiItpHNAYjIiIGJYp25eoEzGwl+rP0bUZ/lr5HqBA1TJb0Qif1i8iOate6iNZhZp8ALgCOkPS7AuTNxMndRichHI2MdzN7BU9H0ZH44aLQgjH4NJ68vi1yQTObCOwFnED0YoiI6HlEYzAiImJIoGhXrqJhZg8CGyf/Upul75UuqTdkUKZrXURrMLOlgL/gCcwPbncFLridStLYVFm9lcFhuMvjPEnj68hbIeg2Q9JdVftWx8NK9sB5Ba7Fw0eeb6DfSDyJ/PxqD6MQ73hmlbyzJM2uISdPnPQIYAYwV9IKzepXHbs+lQmsPYA1kl3htw+4X9I2eeRGRER0BjG1RERExFDBXjgpQ69iEyoMfd8CLooU7V3BnjgxWFbsiA/cI8rDGXjqhB2A28zs1vD/rEYHSfpynV3PABuY2RqSnm1y7j1xVt9/NajzQeAs4BvA68ZgMOpuAdahYhi9A9jGzN4kqV4O4g/hK6EX46tribxhQd6bUvK2APYys12B1fHUNGkMN7PdUvWrkcRJHxna+bcG7Uz02Ij+xt9qKVkAi4B/UEmLc6ukGc3kRkREdAfRGGyAMENcBBRnjSMiugtJk7utQxPMBJYL2+eAj5vZbTj5wi3AvZG6vScxjOxpACJawxfxa5wYG7vjMWn1kKys1zMGbwA2AD4MnF5XiJPFfT3IurrB+fYLv7+oKn8fsC4wNZxnHm40rgd8DE8/VQv7h9+fVZW/C+comAdcFH5Pxl0xj8dj9KpzHY7H+5BmSK7tNzLUfYj+92MBbpwnaW9ub2DoRkRE9Biim2gDBBeLRkh3hrX2QY3cRREREZ1H0a5cJehneOLpZLZ9NyBx10qz803CB1yRna8EdMq1LiI7zOxSWjC4Jb2/jry1gYfxCfFTgB8ATxHcRINb6r64sbY5MB3YsN5KvZk9hSetHyNpfqr8Rnxl8UOSfhTK9saN0bsl7VhH3uP4Ct/yaffPkNLhLcCnJV0Qyg4HLsfTOlwJfCIlam1gMZ4mpx7ScdI/lnRzg7qJHnPxtBeJ8Xdnut0REREDC9EYbIDA6FULK+Czb8tT6Qyfww2/CfhAbnd8kPBl4FVJPy1d4YiIiLows88SXLkkfSpVPhKPzUu7cglPNt3Ilat0mNnmVKjbdwdWojIonovPwO9f++iILAis0BNTRZNwJtlDyeZa9w5gkqT/V5qSEYXDzA4DfoUbhPNwF8lhuHvjBsBY/D6/Bhwi6boGsubg8X0rpsqWxo2sZXAioRmhPEkSP7tBDOJMYHF6fzBQpwNjgAmSXk6dJ2E7XbFKTilx0ma2jKSFRcqMiIjoHqIxmBNmtjzuDrEc8HZJt9WptzPwO9wg3F7SzM5pGRERUQ0zuxk3qLaTdF+q/ATguyzpyvUG4HOS6rlydRxmdiA+ERUZ+gpCSEGSdq3LmoIkqQtuLPypUMUiSoeZbYd7BOxcp8qdwMcl/b2JnLnAUpJGpsp2wFfP7pO0bVX9KXiajJHUgJnNB/okjU6VbYkbqg9J2qyGvGUljagqPxM3Os9vpH9ERMTQRowZzI8v4P7+B9czBAEk/c3MjgOuAj4PfLpD+kVERNRGQvH/UFX5Efjg/7SUK9fzuCvXodSP6ykdZrYe/Yka1qyqEmMI28d0IM3YuDZ+XQt1rYvoPYQcg7ua2bq4QTgBz+P5EnCHpEczinoGWN/MtpD0QCg7JPzemq4YVviWBV5uIO8FYC0zW0/S46HsoFryAsbgk1n9IOlL2dRvHWa2NfBmvG8aJenY1L7hOLmMJD1Tti4RERGtIa4M5kTw5V81TUndoK4Bs4EXJK1funIRERF1UbQrV0k6vpH+xt+EZFf4XYyvDiTu6bdKmt4p/YYCej0FSUTvwcy+hzOA3oHH7E3AyV/GAm+WdFOq7mbAA8BdknaqI+8y4Ch8Mvk4nCX0emBl4ND0KrSZbQA8So0VyLB/OL7KuKiq3HCm0nSc9MVZSarMbGXgMjy2EmrwIwQX/MeBVYFNJP0ni+yIiIjOIq4M5sfqQCZfeUkys8XhmIiIiO7C8Bn0NLYBRuIDqdepz8O7OwMfzHVGObMX8cEeVIy/hcC9VHIN3l4rn1hEofgSPokX0QWEbybAI5I2rSrLA2VNnh5YQ8fhk0KNBD5dZ9fXgHfjaUbuTMTi72s1K/nBuCdCoxQO5wHvBN6Kr1Im8h4C/lxV94Dwe1dVOWb2QeB7eGzke6p2X4WT0SSyDwYODL8NEXId/hUn13keuAZnOh2dridpfjCUvwy8HTi7meyIiIjOY6luKzAAMRUYY2a7NKsY6ozFyQgiIiK6i2eAZcxsi1TZIeG3nitXJ5O8r4KTVdyCD572AcZJ2kXS5yRdFw3B8iHpSzHGqquw1FarLOvWcHxjZsub2blm9hhu/D8LPNlge6KeLElP4XlMJ+NkLi8DlwBvqzrnMDwFhOHGVD15D+Au6k9RiWG9GXhrjZW748NvLXmJsXdZlR5vpWJE/ibouhA40MyOqqdXCh/DDcE7gU0lHU/9CZQrq3SJiIjoMcSVwfy4GnfbuMTMDpD0WK1KIdbnErwT/0sH9YuIiKiNm3CWwO+Z2SdwV66P4O/oVVV1N8FXCZolpC4Su+N08ws6eM6IGijLtS4iE5LY3oU1ygqBma2Gp2mZSH3G2CUOa7QzkFI1Y5Ttw9PHgLunN5J3NXB1cMecVSt1Q3BzT4y3h2uI2TT83l1V/l683ztH0hlB1p14io2jWTJfYjXeEY4/KUMy+Yf5/+3de7RddXXo8e8Mz/AIb5BXIETKALWiiIiPBBWsPBREaG2rAsodeK29Osrw3kqrWESrt4B6uVrFF+C1DipoHChoRS0ooAip+ABFwcjbQDQEYoBA5v3jtw7ZbM5+nbP23ufs/f2MkZFz1l7rt+fRnMWe6zfn71f+v9ynw3mShsSewR5FxM7AjcB2lJ6iL1OeBk7sR7YL5UPdsZTys+XA/pl57+CjlTQhIvak/O42ln5OlHK9pOnc04D30bQNxWwQEdcB22XmwmHHMhs1ltZl5uubXpvY5w3Wz9h8PTM7ltZp5oiI8ygPdVcCZwJLgLsy85EhhlW7iFhJWeV0XtPx+ymb0e+Vmb+tjs2lzO7dn5k7dRh3os96s6w+REbEPVT7NE5y/n2UPRM3nv5PJaluJoNTEBH7AhcD+9J6CfKJ+v7jM3OyJ3aSBqxa+e4s4CDKk/nLKBs4/77hnA2AX1NWlTwyMy8fRqxT1e5DmTqLiK9Q+qYOz8z/aDj+KuCrlHv+RZQtSP6a8qH4jZnZaTZFM0RE3EmpDDg6M5t78EZGRDwCPJqZWzYc24cyW3drZu7ddP4KypYXm9BGtRhXNi6k1+q+U91PVwNrBrkYl6TuWSY6BZl5c7Xnz+soTdHPZf3CD/cBS4EvARc1lxlJGp66S7k0kvpVWqcuRMQb6xorMy9s8dL2lP7cy3odsyG+BzLzq03Heo4vIhZV3/4xM6+vxlvU5rJ2413VdGg5sEtE7JqZd1XHJma2J9saa1PK3sid3AHsHRG7ZWanUvpDgI2Bn3YxrqQhcGZQkkaIM4PT06/SOnWn2tqjlg8mrX4HIuI2YIfGGbNuNcT3y8zcr+lYz/HVON5TVk+NiIspC9F8hrL1xXaURV8WAK/PzC82nDufsmDNTzJz/3ZvFBHnUvqtP5iZ/1Ade8p9p/r9+D7l4dqZmXl6jz+TpAFwZnBI7OuRpBlpLqUf/AlVad22lNK6304cz8w1VfK49SADHHFXUVMy2MYS4O0R8fzMbJ4B7mQivtsnOTYVt1fX3j3Jsek6l7J+wZsplUwbURY+upP1q3xOmNgvcGkX455VjfnOiPgdZXb8CdVqzK+gbLnxLEpv5rlT+gkk9Z0zg0Pi03upf+ou5aotsAHw3jI9EXEHZSGw+ROlddXqs+cAF2TmSU3nrwZWZ+aOg45VUxMR2wD/BdwPHJqZK4cbUf9UCyKdxfqFs34F/FVm3tB03jWUfRJfn5n/1sW4x1L2L9yQ0j+7MbAB5X/Xvav3C0o57jGZ+c1afiBJtTMZHBI/sEn9U3cpV83h9ZX3lunpV2mdZo6qJ293ymzVw5SZreuBB9tdN0lP3oxRlb4uz8wXNBxbRJnlvhF4JqUH+lfNW6FExEas33fw293uZxoRBwIfBl7Y4pQfAH/bnHhKmllMBofED2xS/0TEf1KVcmXmCU3HepKZL601uD7z3jI9EbGYssF3UlZBbCyt27tx+4GIOBk4Dzg/M980hHA1BU0PhoLu7gtP6cmbSaqf6d7M3KXp2D2ZuWuf33svSkK4MzAH+B1wbWb+sp/vK6keM/bGJklTlZmHdHNMapaZV0bEW5i8tK55H7qJBPCKQcWnWtTVkzeTrKX0uzaLfr9xZt4G3Nbv95HUHyaDkqSx1Ka07ifATnQurftQ9e23BxOx6pCZe0712urfTE1h5MKI+E5N4z0OzIuIAzPzRzWN2ZVq1dCtKbPoLWXm7e1elzQclokOiaVckvrBe0v3hllap9mp+vfRTtJ6Nq7xtWzYWmI649H0+qOUhxkPUfb4exS4psN7PGnMzHx5p5MiYivgXZS9lhd0Oa4TENIM5C+mJGlcDa20TrNWqx7ihcDZlI3bLwKuBO6i/FvaGVgM/AVlwZpTWV9WedJTRiq2Bd4DbEXZumKy8RZRNok/A/gjcDzwcuB5DeNsTEkKu9VxhiAingZcDexJ978r/k5JM5Qzg0Pi03upf+ou5apprIGIiI8C85q3QNBTRcSvKbMaL5gorZtstlBqJyJ2pezP9wBweGbe2uK8vYDLgXnAAZl5d4vztgJ+VJ13XGZ+v8V5LwQuqd73+Zm5KiL2A54BbAZ8rnrtHb38PJl5QbvXI+I84GTK/oFnUvZtvGuSnlpJs4DJ4JCYDEr9U3cpV22BtdFreWJE/AbY3dKrqYuIcygflAdSWqfRVCVHbwYWZebVHc59EfA94FOZeUqLc86m/Lt8dWZ+vcN4RwKXAmdn5jubXuvLg42IuJMyO3l0Zn6tzrElDZ7J4JCYDEr9U20PMJmeS7ky88q+B0zvH9yqZHC+95Cpi4gtgK9QSuumY2APDTTzRMTtwFaZuVWX568CVmbm/Bav3wrslJlbTPZ607lBeYhxT2Y+vem104GHMvPsbuLqVkQ8DKwDtmheWEnS7GMyOCQmg9Jg1V3K1Yf4ek0G7wa2z8yN+xvZ6BtEaZ1GV0SsAdZl5uZdnDuRvM3JzMn6VSfGW5uZ87p8/1XAhpm5WQ9hT1lVhr9DZm45iPeT1F+WFw3Pv1M+bEoajNOB7YFjWyWCUPbMiog3UUq5TgcmLeUapmoBhx2B5cOOZRRk5k3ATQAR8TlgjcmdenAPsEdEHNmprBM4grJo0bI256wAdo6IF3VZdroFMJCHVpUlwNsj4vmZed0A31dSH5gM9qiuvp7MfHs/4pPU0ispJVNtP1wBZObVEfEQcHi/gqn2szuk6fAWEfGedpdR9vN6ZfV1x59FPfsnysyN1K0vA38HfDYijs/MqyY7KSJeDHyW0pd8SZvxLqMs0PK5iDgiM3/dYryFlJnsBDoloXV6H3As8PGIODQzVw7wvSXVzDLRHtnXI81OdZdy1RDP6ZSZx8a9wrq5IU8sbvN74JDM/FkfwpPUpYiYB9xA6UlO4AeUfuSJ2bpdKNtAHEz5/f0VcGBmrmox3s7AjcB2lMWMvtxivGMp/c/Lgf0z8966f7YW8S0CdgfOpfRXfxK4Hniw3XWtkmRJw2Uy2CP7eqTZqepz2YPeVuhblpl79Smeo4FjGg6dAKyhlJC3sg5YBfwc+EpmruhHbJJ6U5VuXwgcWh1q/nA18RDnW8AJnRK3iNgXuBjYd5KxGse8CTg+M2+eStxTUX0O6vUhlpvOSzOUyWCPekkGq/843Aksd88qabgi4ixKKdd9lA9P7Uq5LqH0F57TvFx7H+NzfztplqvuH8cBzwV2qA7fR1m86kvdlKk3jLUh8Lp24wEXZeZj9UTfdVzL6C4BfJLMXFB/NJKmy2Swg0n6et5LKR87q91lrO/r+RPgy5l5fH8ilNSNuku5+hDfYuDRzLx2EO8nSZJkMtiBfT3S6Ki7lEuSJGk2MxnswL4eafTUWcpVY0zbAs8DHsjMHza9tgvwYWAxsAnwDeDUQe2BKEmSRpPJYI/s65HUDxHx98D7gY9k5qkNxzcFfgYsYP3MZQK3As/JzNWDjlUaVx22fulJZp5R03s8AqwEbgauy8yHpxmapDFiMtgj+3ok9UNEfJfSs3hgZi5tOP4W4OOUjaj/gVKZ8H5gV+C0zPzQEMKVxlLTSppTHoayuuakW05N8z1WAR8DzsjMR6c4hqQxYjIoSTNAtULf7sDmjU/2I+LblEWsTsnMT1fHXk7pa7wuM18w+Gil8RQR5zP9ZBCAzDypw3scTVmMbjVl8auJsvCdgQOALYA/ULbB2YpS9r57de23gCMyc10dsUoaXSaDPbKvR5r5BlHKVbeIWA08nJnbNRzbkPKkfyPKfqUPVMeDshn1Q5m5zSDikzQY1e/3xcCrgNOAj2XmmqZzNgX+BvgAZW2C11XH/xL4NGUz+jdl5gWDjF3S7GMy2CP7eqSZbxClXHWLiD8CczJz04ZjBwHXAksz83lN598PbNF4vqTZLyLeDpwD/I/M/FiHc/8G+D+N51bXfxj4TmYe2u56Sdpw2AHMQn9W/f2FpuMnAnvx1L6ehcDbAPt6pMG5kJpKuQboDuDpEfGnmfmT6tgx1d/fazwxIuYAWwLLBxeepAE5CXiMMsPXyacpieObKb2CABdUx/60L9FJGikmg71bUP19U9Px4ykfPt/V0NdzN6Vu/zWYDEoDk5knDjuGKfgOsDfwrxHxDkpf0Fsp95VLm87dj1I6eucgA5TUWkTMA04GDqP07s3NzIVNrx9DqTj4fJuhnk4pAX+k03tm5iMR8RDl3jFxbGVErKT0EUpSW5aJ9si+Hkn9EBF7AjdSFoV44jBwdWa+pOnc04D30VSuLmk4IuJg4BJgJxpaRZrLzCPiBmB/YHFmfr/FWCsoC8fsmZl3dHjf+cAyYGVmblsdC0p10gOZudMUfyRJY2LOsAOYhQLYvOnYAZRm7RsnEkEo/xUAHgDmDi48SbNRZi4DXgpcCTxMKQH9HGVFwSdExAbAf6Pci64YbJSSmkXEbsDXgKcBlwNvoKzyOZlPUH53X9tmyB9Uf3+setjc6n03AM6lVA80bne1K7AxcE838Usab5aJ9s6+HmkWq7GUq3bV/oIv63DaOsrMApSKBEnD9U5gG+DCiRL1iDirxbmXV38f0ma8D1DWJzgSuD4iPgJczfrkbmfgxcDbgWdRksH3N1x/TPX3pDOPktTIZLB39vVIs1SrUq7GczJzVbUa3/4R8ZtWpVzD0lBxIGlmOJxyH+m4pU1m3hkRa1i//sBk51wdEW8CzqMsAvOZFqdOtKK8JTOvaTi+JWWRu//XXfiSxpllor37EPAg8AJKKcdXKDfeazLzO03nvpryH4hrkDRUfSjlkiQoFQarM/P2Ls9fQ4f2kcy8EHg28HnKZ45o+vNg9dr+mXl+07X/nJlvyMwfIEkdODPYo8xcFhEvBc4CDqKUaV1GKRN5gn090oxTdynXlEXEG6svH8jMrzYd60n1oVHS8DwCzI2IOZm5rt2JEbE5ZXGYFZ0GzcxfAidUC8LsBWxP+UxxH3BbugKgpBq4mmifVDfvedW3q7xpS8MVEbdQ9v1cMPEEPyLuAXacbGP5auXgtZm5dR9iWUepGvhlZu7XdKwnk8UuaXAi4jrKQnLPzcwbq2OT3luqhz7n44bwkmYIZwb7xL4eacaZSinXln2K5SpK4nf7JMckzS5LgOcB7waOa3VSROwD/Avl9/xLA4lMkjpwZlDSWKg2YZ5LWT10XXWs1dP7zSkPc1a4T5ekdqr7xc8pD5yWAB8BLqaUdc4DngEcS1lsbgvgJuA5mbm2i7F3r67fhrIgXUuWjEuaCmcG27CvRxopt1BKuZ5F2dy9nddSFtj6ab+DkjS7ZebqiDicsn7Aa1i/tQM8efuXAG4DXt0pEYyIg4CPAgf2EIqfMyT1zJnBNuzrkUZHRJwGnAl8OTOPq449ZWawKuW6ivJU/62Z+clhxCtpdqn2KP2fwBuB3Zpe/h2lV/CDmdm2hSQiDqDcgzalJJB3AncBD7e7LjNfOqXAJY01k8E2IuI/qfp6MvOEpmM98SYtDVc/S7kkja+IWEr5XHB8Zt5WHduNsg/xHOB3mbmsh/EupWw4/1PgpMxcWnvQklQxGZQ0NiJiX0op1x60fqgzUcr1iokPdn2Io65xMzMX1jSWpCmIiIeBRzNzXseTuxtvBWX7iWdn5s/qGFOSWjEZlDRW6irlmmYMbfcioySq0cVraQm6NFwRcSul3LyW1YerbW0ey8yt6hhPktoxGZQ0Fuou5ZpmLItbvLQQOJvSK3QRcCWlVygocS4G/oLSO3QqZePpK/sesKSWIuLjwCnACzPzhzWMdyOwD7BFZj423fEkqR2TQUljoe5SrrpFxK7AUsqWFodn5q0tztsLuJzS53hAZt49uCglNYuIXYAfUx7cHJaZ909zvHcA51AeXF0y7QAlqQ2TwTbs65FGR92lXHWLiPOANwOLMvPqDue+CPge8KnMPGUQ8UmaXEQsoszknQ2spWzxcC1wH/B4q+sy86oW480Bvk7ZyP7VmXlt3TFL0gSTwTbs65FGR92lXHWLiNuBrbrtE4qIVcDKzJzf38gktdO05VTQ3YrjmZmT7vUcEe+h7AP9NmAryoOfHwEPdhjwjG5jlqQJJoNt2NcjjY66S7nqFhFrgHWZuXkX5wbwEDAnM+f2PThJLUXEMqa25dSCFuNNJJeND5vbjR/40FnSFJkM9si+Hml2qruUqw/x3UbZ8uLVmfn1DuceCVwKLMvMvQYRn6TBiIjzmVpyeVL90UgadSaDPbKvR5qd6i7lqltEnAX8HSU5Pb5NP9GLgUuA7YFzMvOdg4hPkiSNHpPBHtnXI81OdZdy1a3a//AGShl6Aj+glKBPVBXsAiwCDqYks78CDszMVYOIT5IkjR6TwR7Z1yOpXyLiaZTy1UOrQ8036Ikeom8BJ2TmvYOKTZIkjZ6BlD+NmHuAPSLiyE59PcARwFxgWd+jkjTrVcndK6pS0OOA5wI7VC/fR+lX/lKnEnVJkqRuODPYI/t6JElSHSJiYvGqX2TmM5qO9WJg/c2SRovJYI/s65EkSXVo2M/4F5m5X9OxnmTmnNoCkzQ2TAanwL4eSZI0XRGxR/Xl2oktqBqO9SQzf1tbYJLGhsngNNjXI2kqIuI9dY2VmWfUNZYkSRovJoOSNGBNex5OeRhKn9AGNYQkSZLGkM3GkjR4FzL9ZFDSLBcRb6xrrMy8sK6xJI0PZwYlSZKGoKYqAQCsEpA0Fc4MtmFfjyRJ6qOrsEpA0hA5M9iGfT2SJEmSRpUzg+3Z1yNpoKq9TE8GDgN2B+Zm5sKm14+hPGT6/FCClCRJI8GZQUmaISLiYOASYCfW71f6lMqCiLgB2B9YnJnfH2iQkiRpZMwZdgCSJIiI3YCvAU8DLgfeAPyhxemfoCSLrx1MdJIkaRSZDErSzPBOYBvgwsw8KjO/ADza4tzLq78PGURgkiRpNFkmOkX29UiqU0TcAiwEFmTm7dWxe4AdJ1uAKiJWA2szc+uBBipJkkaGyeAU2NcjqW4RsYaS3M1rONYuGbwf2DIzNxlgmJIkaYRYJtoj+3ok9ckjwCYR0fG+HBGbA1sDK/sckyRJGmEmg72zr0dSP9xC2e7nWV2c+1rK/funfY1IkiSNNJPB3h1O2XvwPZ1OzMw7gTXAgn4HJWnWW0KpJHh3u5MiYh/gXyj3oS/1PyxJkjSqTAZ7tzuwemKBhy6sAeb2MR5Jo+GjwO3AayLikoh4CdU9OiI2j4jnR8QHgR8BOwA3A58dWrSSJGnWcwGZHkXESkpyNzcz11XHJl3koerreQBYkZk7DTpWSbNLROwLXAbsQZn5m/Q04DbgFZl526BikyRJo8eZwd7Z1yOpLzLzZuDZwAeAuyiJX+Of5cCHgANMBCVJ0nSZDPZuCfb1SKpZRCyttqPZPjP/MTPnA/OBg4CDgb0yc+fMfFdmPjDUYCVJ0kiwTLRHVennzym9g0uAjwAXA9sD84BnAMcCbwW2AG4CnpOZa4cQrqRZIiIeBh5t3GdQkiSpn0wGp8C+Hkl1i4hbKb3HWw47FkmSNB4sE50C+3ok9cE3gc0i4qBhByJJksaDM4M9ioillNnA4ycSvYjYDdiZklz/LjOXDS9CSbNRROwC/JjygOmwzLx/uBFJkqRRZzLYI/t6JPVDRCwC9gHOBtYCFwLXAvcBj7e6LjOvGkiAkiRp5JgM9si+Hkn9EBHrWN+DHLTuR26Umblh/6KSJEmjzA8RvfsmcEpEHJSZPxx2MJJGxu10lwBKkiTVwpnBHtnXI0mSJGkUmAz2yL4eSZIkSaPAZLBH9vVIkiRJGgUmKL2zr0eSJEnSrOfMoCRJkiSNoTnDDkCSJEmSNHgmg5IkSZI0hkwGJUlqIyKWRURGxPnDjkWSpDq5gIwkaWRExCHAdyd5aR2wCniAsk/sDZRtgZZk5ppBxTdVEbER8DLgMOAFlC2Otgb+CPwWuBL4ZGb+bFgxSpJmHxeQkSSNjDbJYCsrgU8C/9QqKYyIZcAewAWZeeK0AnzyuO8FTgfIzGhz3g7AzcB2HYZcB3woM0+rK0ZJ0mhzZlCSNKr+Ffh4w/ebU2bTngksBo6ovv9fwKsi4qjM/E3zIJm5Z78D7WAT1ieCPwO+SpnVvJfyM70MeAewFfCuiHg8M989hDglSbOMyaAkaVQtb1E2+U3g7IhYAHwGeCmwH/C1iDg4M1cNMsguJHAFcHpmXjPJ61dFxBeAa4Dtgb+PiM9OlthKktTIBWQkSWOpSpYOA75RHdqPqmxzJsnMuzLzsBaJ4MQ5vwLOqL7dEDhmELFJkmY3k0FJ0tjKzMeBEygLsQCcEhFP6s3rtJpoRGwSEW+LiO9ExPKIWBsRf4iIWyLiioh4V0Ts23D+iRGRNCSe1fjNf/bs8cdp7JV8eo/XSpLGkGWikqSxlpnLI+LfgJMpPXivAL7YzbUR8TTgW5Q+xEZbV3/2Bl4OPBt4XT0Rt7Rxw9eP9/m9JEkjwGRQkiT4D0oyCPASukwGgXNZnwh+EbiEsnXFWmAn4LnAUZS+vwlLgOuBtwL/vTr2rEnGvqvLGCYsbvj65h6vlSSNIZNBSZJgacPXf9LNBRGxKXB09e05mXnqJKddBpzZWHqamSuBlRGxvOHYtPYHjIjNKSuKAjxCWXFUkqS27BmUJAlWNHy9bZfXbAtsVH19ZbsTM3NFu9drcBYwv/r6/2bm3X1+P0nSCDAZlCQJHmr4essur1kBPFp9/YaIGEq1TUS8CXhL9e3PAfcYlCR1xWRQkqQnJ4Bd7TOYmY+wvrfwOODWiDgrIo6KiG3qDnAyEXE48Inq2/uBYzNzzSDeW5I0+5kMSpJUNmuf8Pservtb4CvV1/OBU4FLgRUR8eOIeHdE7FBTjE8SEYsoC9ZsRElg/ywzb+nHe0mSRpPJoCRJZdXPCb/s9qLMfDAzjwWeB/xv4DrgMSAo20mcAfw6Io6qMVYi4vnA14C5lD0Sj8jMpe2vkiTpyVxNVJKksrfghO/1enFm3gDcAE+s7PkS4K+BvwLmARdFxMLMvHe6gUbEs4FvUEpbHwGOzsyrpzuuJGn8ODMoSRprEbEj8JfVtw9RNpGfssxcnZnfyMw3AP9YHd6Mst/gk07tdeyI2LeKbxvKXobHZ+YV04lXkjS+TAYlSWMrIjYALqCUWwJ8MjN76Rns5NsNX2/f9NrDDXFs0mmgiFgIXAHsADwOvD4zL60jSEnSeDIZlCSNpYjYkzLL9srq0E2UHr9ur98rIg7pcFpj+elvml67p+HrhR3ea3dKYrkLZUbx5Mz89+4ilSRpcvYMSpJG1Y4R8cyG7zejlFc+AzgEOALYoHrtJuCozOxqW4nKfOC7EfELYAnwI+BOYB0laTsGOLE69w7Kgi+Nrmn4+sMR8X5KgjhRProsMx+LiO0oM4J7VMc/Blzf9LM1W52ZzcmnJElPEpk9tyxIkjQjVTN13+3hkpXAecB7W+3PFxHLKInYBZl54hTe6w7gVZl54yRjXwT8eYvrFmTmsin8TABXZuYhPV4jSRozzgxKksbBOuBByn58d1JW/rwGWDKNTdq/BxwMHAospiSMO1FmIP8A/JSy5+CnMnN1izFeD1xP2bR+H8oKobZwSJIGwplBSZIkSRpDPn2UJEmSpDFkMihJkiRJY8hkUJIkSZLGkMmgJEmSJI0hk0FJkiRJGkMmg5IkSZI0hkwGJUmSJGkMmQxKkiRJ0hgyGZQkSZKkMWQyKEmSJEljyGRQkiRJksbQ/wfRbpYQVVhvWQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# All correlations\n", "cols = ['Dist1', 'Dist2']\n", "corrs = mypairs.corr().copy()\n", "spear_corrs = mypairs.corr(method='spearman').copy()\n", "corrs = corrs.stack()\n", "spear_corrs = spear_corrs.stack()\n", "corrs = corrs.reset_index()\n", "spear_corrs = spear_corrs.reset_index()\n", "corrs.columns = ['Dist1', 'Dist2', 'Corr']\n", "spear_corrs.columns = ['Dist1', 'Dist2', 'SpCorr']\n", "FBcorr = corrs.loc[corrs.Dist1=='FBDist'].copy()\n", "FBspcorr = spear_corrs.loc[spear_corrs.Dist1=='FBDist'].copy()\n", "FBcorr.reset_index(inplace=True, drop=True)\n", "FBspcorr.reset_index(inplace=True, drop=True)\n", "FBcorr.sort_values('Corr', inplace=True)\n", "FBspcorr.sort_values('SpCorr', inplace=True)\n", "FBcorr.reset_index(inplace=True, drop=True)\n", "FBspcorr.reset_index(inplace=True, drop=True)\n", "FBcorr = FBcorr.loc[FBcorr.Dist2!='FBDist'].copy()\n", "FBspcorr = FBspcorr.loc[FBspcorr.Dist2!='FBDist'].copy()\n", "\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "FBcorr.plot.bar(y='Corr', x='Dist2', color='red', ax=ax)\n", "ax.set_title('Pearson Correlation with FB Distance')\n", "ax.legend_.remove()\n", "plt.savefig(pathout+'FBcorr.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Pairwise Common Sample" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "measures = ['FBDist', 'distcap', 'CosDist15', 'reldist_weighted_WCD_form', 'new_gendist_weighted', 'total']\n", "mypairs_com = mypairs.dropna(subset=measures).copy()\n", "mypairs_com.reset_index(inplace=True, drop=True)\n", "corrs_com = mypairs_com.corr().copy()\n", "spear_corrs_com = mypairs_com.corr(method='spearman').copy()\n", "corrs_com = corrs_com.stack()\n", "spear_corrs_com = spear_corrs_com.stack()\n", "corrs_com = corrs_com.reset_index()\n", "spear_corrs_com = spear_corrs_com.reset_index()\n", "corrs_com.columns = ['Dist1', 'Dist2', 'Corr']\n", "spear_corrs_com.columns = ['Dist1', 'Dist2', 'SpCorr']\n", "FBcorr_com = corrs_com.loc[corrs_com.Dist1=='FBDist'].copy()\n", "FBspcorr_com = spear_corrs_com.loc[spear_corrs_com.Dist1=='FBDist'].copy()\n", "FBcorr_com.reset_index(inplace=True, drop=True)\n", "FBspcorr_com.reset_index(inplace=True, drop=True)\n", "FBcorr_com.sort_values('Corr', inplace=True)\n", "FBspcorr_com.sort_values('SpCorr', inplace=True)\n", "FBcorr_com.reset_index(inplace=True, drop=True)\n", "FBspcorr_com.reset_index(inplace=True, drop=True)\n", "FBcorr_com = FBcorr_com.loc[FBcorr_com.Dist2!='FBDist'].copy()\n", "FBspcorr_com = FBspcorr_com.loc[FBspcorr_com.Dist2!='FBDist'].copy()\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "FBcorr_com.plot.bar(y='Corr', x='Dist2', color='red', ax=ax)\n", "ax.set_title('Pearson Correlation with FB Distance')\n", "ax.legend_.remove()\n", "plt.savefig(pathout+'FBcorr_com.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Prepare data for plotting" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# We need to construct some stats and prepare the data for plotting\n", "\n", "# Remove if Dist1==Dist2\n", "corrs2 = corrs.loc[corrs.Dist1!=corrs.Dist2].copy()\n", "spear_corrs2 = spear_corrs.loc[spear_corrs.Dist1!=spear_corrs.Dist2].copy()\n", "\n", "mean_corrs = corrs2.groupby('Dist1').mean()\n", "mean_spcorrs = spear_corrs2.groupby('Dist1').mean()\n", "mean_corrs = mean_corrs.reset_index()\n", "mean_spcorrs = mean_spcorrs.reset_index()\n", "mean_corrs['Dist2'] = 'Average'\n", "mean_spcorrs['Dist2'] = 'Average'\n", "mean_corrs.columns = ['Dist2', 'Corr', 'Average']\n", "mean_spcorrs.columns = ['Dist2', 'SpCorr', 'Average']\n", "\n", "corrs_com2 = corrs_com.loc[corrs_com.Dist1!=corrs_com.Dist2].copy()\n", "spear_corrs_com2 = spear_corrs_com.loc[spear_corrs_com.Dist1!=spear_corrs_com.Dist2].copy()\n", "\n", "mean_corrs_com = corrs_com2.groupby('Dist1').mean()\n", "mean_spcorrs_com = spear_corrs_com2.groupby('Dist1').mean()\n", "mean_corrs_com = mean_corrs_com.reset_index()\n", "mean_spcorrs_com = mean_spcorrs_com.reset_index()\n", "mean_corrs_com['Dist2'] = 'Average'\n", "mean_spcorrs_com['Dist2'] = 'Average'\n", "mean_corrs_com.columns = ['Dist2', 'Corr', 'Average']\n", "mean_spcorrs_com.columns = ['Dist2', 'SpCorr', 'Average']\n", "\n", "# Remove FB from average\n", "NoFBcorrs2 = corrs2.loc[np.logical_and(corrs2.Dist1!='FBDist', corrs2.Dist2!='FBDist')].copy()\n", "NoFBspear_corrs2 = spear_corrs2.loc[np.logical_and(spear_corrs2.Dist1!='FBDist', spear_corrs2.Dist2!='FBDist')].copy()\n", "\n", "NoFBmean_corrs = NoFBcorrs2.groupby('Dist1').mean()\n", "NoFBmean_spcorrs = NoFBspear_corrs2.groupby('Dist1').mean()\n", "NoFBmean_corrs = NoFBmean_corrs.reset_index()\n", "NoFBmean_spcorrs = NoFBmean_spcorrs.reset_index()\n", "NoFBmean_corrs['Dist2'] = 'Average (NoFB)'\n", "NoFBmean_spcorrs['Dist2'] = 'Average (NoFB)'\n", "NoFBmean_corrs.columns = ['Dist2', 'Corr', 'AverageNoFB']\n", "NoFBmean_spcorrs.columns = ['Dist2', 'SpCorr', 'AverageNoFB']\n", "\n", "NoFBcorrs_com2 = corrs_com2.loc[np.logical_and(corrs_com2.Dist1!='FBDist', corrs_com2.Dist2!='FBDist')].copy()\n", "NoFBspear_corrs_com2 = spear_corrs_com2.loc[np.logical_and(spear_corrs_com2.Dist1!='FBDist', spear_corrs_com2.Dist2!='FBDist')].copy()\n", "\n", "NoFBmean_corrs_com = NoFBcorrs_com2.groupby('Dist1').mean()\n", "NoFBmean_spcorrs_com = NoFBspear_corrs_com2.groupby('Dist1').mean()\n", "NoFBmean_corrs_com = NoFBmean_corrs_com.reset_index()\n", "NoFBmean_spcorrs_com = NoFBmean_spcorrs_com.reset_index()\n", "NoFBmean_corrs_com['Dist2'] = 'Average (NoFB)'\n", "NoFBmean_spcorrs_com['Dist2'] = 'Average (NoFB)'\n", "NoFBmean_corrs_com.columns = ['Dist2', 'Corr', 'AverageNoFB']\n", "NoFBmean_spcorrs_com.columns = ['Dist2', 'SpCorr', 'AverageNoFB']\n", "\n", "langcols = [i for i in mypairs.columns if re.findall(r\"^\\w+[Cosdist]+[0-9]{1,2}\", i)!=[]]\n", "geocols = [i for i in mypairs.columns if i.startswith('dist')]\n", "def assign_type(x):\n", " '''Assign to each measure a type: Genetic, WVS, Religios, Linguistic\n", " '''\n", " if x in langcols or x.find('ling')!=-1 or x.find('cognate')!=-1 :\n", " y = 'Linguistic'\n", " elif x.find('total')!=-1 or x=='CosDistScale' or x=='CosDistBin' or x=='CosDistAll' or x=='CosDistOptions':\n", " y = 'Cultural'\n", " elif x.find('fst')!=-1 or x.find('new_gen')!=-1:\n", " y = 'Genetic'\n", " elif x.find('reldist')!=-1:\n", " y = 'Religious'\n", " elif x in geocols:\n", " y = 'Geographical'\n", " elif x=='FBDist':\n", " y = 'FB'\n", " elif x=='FBDist_old':\n", " y = 'FB_old'\n", " return y\n", "\n", "NoFBcorrs3 = NoFBcorrs2.copy()\n", "NoFBspear_corrs3 = NoFBspear_corrs2.copy()\n", "NoFBcorrs3['DistType'] = NoFBcorrs3.Dist2.apply(assign_type)\n", "NoFBspear_corrs3['DistType'] = NoFBspear_corrs3.Dist2.apply(assign_type)\n", "NoFBmean_corrs3 = NoFBcorrs3.groupby(['Dist1', 'DistType']).mean()\n", "NoFBmean_spcorrs3 = NoFBspear_corrs3.groupby(['Dist1', 'DistType']).mean()\n", "\n", "FBcorr3 = FBcorr.copy()\n", "FBspcorr3 = FBspcorr.copy()\n", "FBcorr3['DistType'] = FBcorr3.Dist2.apply(assign_type)\n", "FBspcorr3['DistType'] = FBspcorr3.Dist2.apply(assign_type)\n", "FBmean_corrs3 = FBcorr3.groupby(['Dist1', 'DistType']).mean()\n", "FBmean_spcorrs3 = FBspcorr3.groupby(['Dist1', 'DistType']).mean()\n", "\n", "corrs3 = FBcorr3.append(NoFBcorrs3).copy()\n", "spear_corrs3 = FBspcorr3.append(NoFBspear_corrs3).copy()\n", "corrs3['DistType_1'] = corrs3.Dist1.apply(assign_type)\n", "spear_corrs3['DistType_1'] = spear_corrs3.Dist1.apply(assign_type)\n", "corrs3 = corrs3.loc[corrs3['DistType_1']=='FB'].sort_values(['DistType_1', 'DistType', 'Dist1']).append(corrs3.loc[corrs3['DistType_1']!='FB'].sort_values(['DistType_1', 'DistType', 'Dist1'])).reset_index(drop=True)\n", "spear_corrs3 = spear_corrs3.loc[spear_corrs3['DistType_1']=='FB'].sort_values(['DistType_1', 'DistType', 'Dist1']).append(spear_corrs3.loc[spear_corrs3['DistType_1']!='FB'].sort_values(['DistType_1', 'DistType', 'Dist1'])).reset_index(drop=True)\n", "\n", "meancorrs_types = FBmean_corrs3.append(NoFBmean_corrs3)\n", "meanspcorrs_types = FBmean_spcorrs3.append(NoFBmean_spcorrs3)\n", "meancorrs_types.reset_index(inplace=True)\n", "meanspcorrs_types.reset_index(inplace=True)\n", "meancorrs_types['DistType_1'] = meancorrs_types.Dist1.apply(assign_type)\n", "meanspcorrs_types['DistType_1'] = meanspcorrs_types.Dist1.apply(assign_type)\n", "meancorrs_types = meancorrs_types.loc[meancorrs_types['DistType_1']=='FB'].append(meancorrs_types.loc[meancorrs_types['DistType_1']!='FB'].sort_values(['DistType_1', 'Dist1'])).reset_index(drop=True)\n", "meanspcorrs_types = meanspcorrs_types.loc[meanspcorrs_types['DistType_1']=='FB'].append(meanspcorrs_types.loc[meanspcorrs_types['DistType_1']!='FB'].sort_values(['DistType_1', 'Dist1'])).reset_index(drop=True)\n", "\n", "NoFBcorrs_com3 = NoFBcorrs_com2.copy()\n", "NoFBspear_corrs_com3 = NoFBspear_corrs_com2.copy()\n", "NoFBcorrs_com3['DistType'] = NoFBcorrs_com3.Dist2.apply(assign_type)\n", "NoFBspear_corrs_com3['DistType'] = NoFBspear_corrs_com3.Dist2.apply(assign_type)\n", "NoFBmean_corrs_com3 = NoFBcorrs_com3.groupby(['Dist1', 'DistType']).mean()\n", "NoFBmean_spcorrs_com3 = NoFBspear_corrs_com3.groupby(['Dist1', 'DistType']).mean()\n", "\n", "FBcorr_com3 = FBcorr_com.copy()\n", "FBspcorr_com3 = FBspcorr_com.copy()\n", "FBcorr_com3['DistType'] = FBcorr_com3.Dist2.apply(assign_type)\n", "FBspcorr_com3['DistType'] = FBspcorr_com3.Dist2.apply(assign_type)\n", "FBmean_corrs_com3 = FBcorr_com3.groupby(['Dist1', 'DistType']).mean()\n", "FBmean_spcorrs_com3 = FBspcorr_com3.groupby(['Dist1', 'DistType']).mean()\n", "\n", "corrs_com3 = FBcorr_com3.append(NoFBcorrs_com3).copy()\n", "spear_corrs_com3 = FBspcorr_com3.append(NoFBspear_corrs_com3).copy()\n", "corrs_com3['DistType_1'] = corrs_com3.Dist1.apply(assign_type)\n", "spear_corrs_com3['DistType_1'] = spear_corrs_com3.Dist1.apply(assign_type)\n", "corrs_com3 = corrs_com3.loc[corrs_com3['DistType_1']=='FB'].sort_values(['DistType_1', 'DistType', 'Dist1']).append(corrs_com3.loc[corrs_com3['DistType_1']!='FB'].sort_values(['DistType_1', 'DistType', 'Dist1'])).reset_index(drop=True)\n", "spear_corrs_com3 = spear_corrs_com3.loc[spear_corrs_com3['DistType_1']=='FB'].sort_values(['DistType_1', 'DistType', 'Dist1']).append(spear_corrs_com3.loc[spear_corrs_com3['DistType_1']!='FB'].sort_values(['DistType_1', 'DistType', 'Dist1'])).reset_index(drop=True)\n", "\n", "meancorrs_com_types = FBmean_corrs_com3.append(NoFBmean_corrs_com3)\n", "meanspcorrs_com_types = FBmean_spcorrs_com3.append(NoFBmean_spcorrs_com3)\n", "meancorrs_com_types.reset_index(inplace=True)\n", "meanspcorrs_com_types.reset_index(inplace=True)\n", "meancorrs_com_types['DistType_1'] = meancorrs_com_types.Dist1.apply(assign_type)\n", "meanspcorrs_com_types['DistType_1'] = meanspcorrs_com_types.Dist1.apply(assign_type)\n", "meancorrs_com_types = meancorrs_com_types.loc[meancorrs_com_types['DistType_1']=='FB'].append(meancorrs_com_types.loc[meancorrs_com_types['DistType_1']!='FB'].sort_values(['DistType_1', 'Dist1'])).reset_index(drop=True)\n", "meanspcorrs_com_types = meanspcorrs_com_types.loc[meanspcorrs_com_types['DistType_1']=='FB'].append(meanspcorrs_com_types.loc[meanspcorrs_com_types['DistType_1']!='FB'].sort_values(['DistType_1', 'Dist1'])).reset_index(drop=True)\n", "\n", "# Merge Correlations\n", "dfcorrs = FBcorr.merge(mean_corrs, on='Dist2', suffixes=['', '_Av'])\n", "dfcorrs = dfcorrs.merge(NoFBmean_corrs, on='Dist2', suffixes=['', '_AvNoFB'])\n", "dfspcorrs = FBspcorr.merge(mean_spcorrs, on='Dist2', suffixes=['', '_Av'])\n", "dfspcorrs = dfspcorrs.merge(NoFBmean_spcorrs, on='Dist2', suffixes=['', '_AvNoFB'])\n", "\n", "dfcorrs_com = FBcorr_com.merge(mean_corrs_com, on='Dist2', suffixes=['', '_Av'])\n", "dfcorrs_com = dfcorrs_com.merge(NoFBmean_corrs_com, on='Dist2', suffixes=['', '_AvNoFB'])\n", "dfspcorrs_com = FBspcorr_com.merge(mean_spcorrs_com, on='Dist2', suffixes=['', '_Av'])\n", "dfspcorrs_com = dfspcorrs_com.merge(NoFBmean_spcorrs_com, on='Dist2', suffixes=['', '_AvNoFB'])" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Correlations with Facebook Distances (Mantel Tests)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No handles with labels found to put in legend.\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Set seed for replication\n", "def mymantel(Dist1, Dist2, ci=[5, 95], method='pearson', common=False, seed=128):\n", " '''Compute Mantel test between Distance 1 and 2'''\n", " np.random.seed(seed)\n", " if common==False:\n", " mydist = df[codes + [Dist1, Dist2]].copy()\n", " else:\n", " mydist = df.dropna(subset=measures)[codes + [Dist1, Dist2]].copy()\n", " mydist = mydist.dropna().reset_index(drop=True)\n", " otherdist = pd.pivot_table(mydist[codes + [Dist2]], index=codes[0], values=Dist2, columns=codes[1])\n", " mydist = pd.pivot_table(mydist[codes + [Dist1]], index=codes[0], values=Dist1, columns=codes[1])\n", " mydist = mydist.values\n", " np.fill_diagonal(mydist, 0)\n", " mydist = (mydist + mydist.T)/2\n", " otherdist = otherdist.values\n", " np.fill_diagonal(otherdist, 0)\n", " otherdist = (otherdist + otherdist.T)/2\n", " mymantel = MantelTest(mydist, otherdist, ci=ci, method=method)\n", " return mymantel\n", "\n", "#######################################\n", "# Figure with all measures\n", "#######################################\n", "codes = ['ISO_CODE_1', 'ISO_CODE_2']\n", "corrs3m = corrs3.copy()\n", "corrs3m = corrs3m.loc[corrs3m.Dist1=='FBDist']\n", "corrs3m.reset_index(inplace=True, drop=True)\n", "corrs3m['mymantel'] = corrs3m.apply(lambda x: mymantel(x.Dist1, x.Dist2), axis=1)\n", "corrs3m['mycorr'] = corrs3m.mymantel.apply(lambda x: x[0])\n", "corrs3m['mylci'] = corrs3m.mymantel.apply(lambda x: x[3][0])\n", "corrs3m['mycci'] = corrs3m.mymantel.apply(lambda x: x[3][1])\n", "corrs3m['myerr'] = corrs3m['mycci'] - corrs3m['mycorr']\n", "#corrs3m[corrs3m.columns.difference(['mymantel'])].to_stata(pathshare + 'FBCorrs.dta', write_index=False)\n", "#corrs3m.to_csv(pathshare + 'FBCorrs.csv', index=False, encoding='utf8')\n", "\n", "spear_corrs3m = spear_corrs3.copy()\n", "spear_corrs3m = spear_corrs3m.loc[spear_corrs3m.Dist1=='FBDist']\n", "spear_corrs3m.reset_index(inplace=True, drop=True)\n", "spear_corrs3m['mymantel'] = spear_corrs3m.apply(lambda x: mymantel(x.Dist1, x.Dist2, method='spearman'), axis=1)\n", "spear_corrs3m['mycorr'] = spear_corrs3m.mymantel.apply(lambda x: x[0])\n", "spear_corrs3m['mylci'] = spear_corrs3m.mymantel.apply(lambda x: x[3][0])\n", "spear_corrs3m['mycci'] = spear_corrs3m.mymantel.apply(lambda x: x[3][1])\n", "spear_corrs3m['myerr'] = spear_corrs3m['mycci'] - spear_corrs3m['mycorr']\n", "#spear_corrs3m[spear_corrs3m.columns.difference(['mymantel'])].to_stata(pathshare + 'FBSpCorrs.dta', write_index=False)\n", "#spear_corrs3m.to_csv(pathshare + 'FBSpCorrsAll.csv', index=False, encoding='utf8')\n", "\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "palette = dict(zip(corrs3m.DistType.unique(), sns.color_palette(\"coolwarm\", 5)))\n", "palette2 = corrs3m[['Dist2', 'DistType']].set_index('Dist2')['DistType'].map(palette).to_dict()\n", "sns.barplot(x=\"Dist2\", y=\"mycorr\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], order=corrs3m.sort_values('mycorr').Dist2, hue_order=corrs3m.sort_values('mycorr').DistType, palette=palette2, ci=None, saturation=1, ax=ax, yerr=corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr'])\n", "ax.set_title('Pearson Correlations')\n", "ax.set_ylabel('Correlation')\n", "ax.set_xlabel('Distance Types')\n", "ax.legend(loc='upper left')\n", "handles = [mpatches.Patch(color=palette.get(c), label=c) for c in corrs3m.DistType.unique()]\n", "ax.legend(handles=handles, labels=corrs3m.DistType.unique().tolist())\n", "plt.xticks(rotation=90)\n", "plt.savefig(pathshare+'TypeCorrsFBAll.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No handles with labels found to put in legend.\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(15,10))\n", "palette = dict(zip(spear_corrs3m.DistType.unique(), sns.color_palette(\"coolwarm\", 5)))\n", "palette2 = spear_corrs3m[['Dist2', 'DistType']].set_index('Dist2')['DistType'].map(palette).to_dict()\n", "sns.barplot(x=\"Dist2\", y=\"mycorr\", data=spear_corrs3m.loc[spear_corrs3m.DistType_1=='FB'], order=spear_corrs3m.sort_values('mycorr').Dist2, hue_order=spear_corrs3m.sort_values('mycorr').DistType, palette=palette2, ci=None, saturation=1, ax=ax, yerr=spear_corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr'])\n", "ax.set_title('Pearson Correlations')\n", "ax.set_ylabel('Correlation')\n", "ax.set_xlabel('Distance Types')\n", "ax.legend(loc='upper left')\n", "handles = [mpatches.Patch(color=palette.get(c), label=c) for c in spear_corrs3m.DistType.unique()]\n", "ax.legend(handles=handles, labels=spear_corrs3m.DistType.unique().tolist())\n", "plt.xticks(rotation=90)\n", "plt.savefig(pathshare+'TypeSpCorrsFBAll.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Common Sample" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "codes = ['ISO_CODE_1', 'ISO_CODE_2']\n", "corrs3m = corrs_com3.copy()\n", "corrs3m = corrs3m.loc[corrs3m.Dist1=='FBDist']\n", "corrs3m.reset_index(inplace=True, drop=True)\n", "corrs3m['mymantel'] = corrs3m.apply(lambda x: mymantel(x.Dist1, x.Dist2), axis=1)\n", "corrs3m['mycorr'] = corrs3m.mymantel.apply(lambda x: x[0])\n", "corrs3m['mypval'] = corrs3m.mymantel.apply(lambda x: x[1])\n", "corrs3m['mylci'] = corrs3m.mymantel.apply(lambda x: x[3][0])\n", "corrs3m['mycci'] = corrs3m.mymantel.apply(lambda x: x[3][1])\n", "corrs3m['myerr'] = corrs3m['mycci'] - corrs3m['mycorr']\n", "corrs3m[corrs3m.columns.difference(['mymantel'])].to_stata(pathshare + 'FBCorrs_com.dta', write_index=False)\n", "#corrs3m.to_csv(pathshare + 'FBCorrs_com.csv', index=False, encoding='utf8')\n", "\n", "spear_corrs3m = spear_corrs_com3.copy()\n", "spear_corrs3m = spear_corrs3m.loc[spear_corrs3m.Dist1=='FBDist']\n", "spear_corrs3m.reset_index(inplace=True, drop=True)\n", "spear_corrs3m['mymantel'] = spear_corrs3m.apply(lambda x: mymantel(x.Dist1, x.Dist2, method='spearman'), axis=1)\n", "spear_corrs3m['mycorr'] = spear_corrs3m.mymantel.apply(lambda x: x[0])\n", "spear_corrs3m['mypval'] = spear_corrs3m.mymantel.apply(lambda x: x[1])\n", "spear_corrs3m['mylci'] = spear_corrs3m.mymantel.apply(lambda x: x[3][0])\n", "spear_corrs3m['mycci'] = spear_corrs3m.mymantel.apply(lambda x: x[3][1])\n", "spear_corrs3m['myerr'] = spear_corrs3m['mycci'] - spear_corrs3m['mycorr']\n", "#spear_corrs3m[spear_corrs3m.columns.difference(['mymantel'])].to_stata(pathshare + 'FBSpCorrs_com.dta', write_index=False)\n", "#spear_corrs3m.to_csv(pathshare + 'FBSpCorrs_com.csv', index=False, encoding='utf8')\n", "\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "palette = dict(zip(corrs3m.DistType.unique(), sns.color_palette(\"coolwarm\", 5)))\n", "palette2 = corrs3m[['Dist2', 'DistType']].set_index('Dist2')['DistType'].map(palette).to_dict()\n", "sns.barplot(x=\"Dist2\", y=\"mycorr\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], order=corrs3m.sort_values('mycorr').Dist2, hue_order=corrs3m.sort_values('mycorr').DistType, palette=palette2, ci=None, saturation=1, ax=ax, yerr=corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr'])\n", "ax.set_title('Pearson Correlations')\n", "ax.set_ylabel('Correlation')\n", "ax.set_xlabel('Distance Types')\n", "ax.legend(loc='upper left')\n", "handles = [mpatches.Patch(color=palette.get(c), label=c) for c in corrs3m.DistType.unique()]\n", "ax.legend(handles=handles, labels=corrs3m.DistType.unique().tolist(), loc='upper left')\n", "plt.xticks(rotation=90)\n", "plt.savefig(pathshare+'TypeCorrsFB_comAll.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Top 4 Correlations by Type" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# Common Sample\n", "corrs3m_copy = corrs3m.copy()\n", "corrs3m = corrs3m.merge(corrs3m.groupby('DistType').mycorr.max().reset_index(), how='left', on='DistType', suffixes=['', '_gr'])\n", "corrs3m.sort_values(['mycorr_gr', 'mycorr'], ascending=False, inplace=True)\n", "corrs3m = corrs3m.groupby('DistType').head(4).reset_index(drop=True)\n", "corrs3m['Dist2'] = corrs3m['DistType'] + ' ' + (corrs3m.groupby('DistType').cumcount()+1).astype(str)\n", "corrs3m['Dist2'] = corrs3m['Dist2'].apply(lambda x: x.replace('Geographical', 'Geog.'))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "textstr = 'A'\n", "props = dict(boxstyle='square', facecolor='white', alpha=1)\n", "fig, ax = plt.subplots(figsize=(30,20))\n", "palette = dict(zip(corrs3m.DistType.unique(), sns.color_palette(\"coolwarm\", 5)))\n", "palette2 = corrs3m[['Dist2', 'DistType']].set_index('Dist2')['DistType'].map(palette).to_dict()\n", "sns.barplot(y=\"Dist2\", x=\"mycorr\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], order=corrs3m.sort_values(['mycorr_gr', 'mycorr'], ascending=False).Dist2, hue_order=corrs3m.sort_values('mycorr', ascending=False).DistType, palette=palette2, ci=None, saturation=1, ax=ax, xerr=corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr'])\n", "ax.tick_params(axis = 'both', which = 'major', labelsize=32)\n", "ax.tick_params(axis = 'both', which = 'minor', labelsize=16)\n", "ax.set_title('')\n", "ax.set_xlabel('Pearson Correlation', fontsize=36)\n", "ax.set_ylabel('Distance Types', fontsize=36)\n", "ax.legend(loc='upper left')\n", "handles = [mpatches.Patch(color=palette.get(c), label=c) for c in corrs3m.DistType.unique()]\n", "ax.legend(handles=handles, labels=corrs3m.DistType.unique().tolist(), prop={'size': 30}, loc='lower right')\n", "ax.text(-0.16, 0.99, textstr, transform=ax.transAxes, fontsize=60, verticalalignment='top', bbox=props)\n", "plt.savefig(pathshare+'Figure-2-A.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Correlations of Selected Measures (Full Sample - Figure B4)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "codes = ['ISO_CODE_1', 'ISO_CODE_2']\n", "corrs3m = corrs3.copy()\n", "corrs3m = corrs3m.loc[corrs3m.Dist1.apply(lambda x: x in measures)]\n", "corrs3m = corrs3m.loc[corrs3m.Dist2.apply(lambda x: x in measures)]\n", "corrs3m.reset_index(inplace=True, drop=True)\n", "corrs3m['mymantel'] = corrs3m.apply(lambda x: mymantel(x.Dist1, x.Dist2), axis=1)\n", "corrs3m['mycorr'] = corrs3m.mymantel.apply(lambda x: x[0])\n", "corrs3m['mylci'] = corrs3m.mymantel.apply(lambda x: x[3][0])\n", "corrs3m['mycci'] = corrs3m.mymantel.apply(lambda x: x[3][1])\n", "corrs3m['myerr'] = corrs3m['mycci'] - corrs3m['mycorr']\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "sns.barplot(x=\"DistType_1\", y=\"mycorr\", hue=\"DistType\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], palette='PuBuGn_r_d', estimator=np.max, ci=None, saturation=1, ax=ax, yerr=[corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr'].values[0]])\n", "ax.set_title('Pearson Correlations')\n", "ax.set_ylabel('Correlation')\n", "ax.set_xlabel('Distance Types')\n", "ax.legend(loc='upper right')\n", "plt.savefig(pathout+'Figure-B4-A.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Correlations of Selected Measures (Common Sample)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# List of measures by Type Common sample\n", "corrs3m = corrs_com3.copy()\n", "corrs3m = corrs3m.loc[corrs3m.Dist1.apply(lambda x: x in measures)]\n", "corrs3m = corrs3m.loc[corrs3m.Dist2.apply(lambda x: x in measures)]\n", "corrs3m.reset_index(inplace=True, drop=True)\n", "corrs3m['mymantel'] = corrs3m.apply(lambda x: mymantel(x.Dist1, x.Dist2, common=True), axis=1)\n", "corrs3m['mycorr'] = corrs3m.mymantel.apply(lambda x: x[0])\n", "corrs3m['mylci'] = corrs3m.mymantel.apply(lambda x: x[3][0])\n", "corrs3m['mycci'] = corrs3m.mymantel.apply(lambda x: x[3][1])\n", "corrs3m['myerr'] = corrs3m['mycci'] - corrs3m['mycorr']\n", "\n", "spear_corrs3m = spear_corrs_com3.copy()\n", "spear_corrs3m = spear_corrs3m.loc[spear_corrs3m.Dist1.apply(lambda x: x in measures)]\n", "spear_corrs3m = spear_corrs3m.loc[spear_corrs3m.Dist2.apply(lambda x: x in measures)]\n", "spear_corrs3m.reset_index(inplace=True, drop=True)\n", "spear_corrs3m['mymantel'] = spear_corrs3m.apply(lambda x: mymantel(x.Dist1, x.Dist2, common=True, method='spearman'), axis=1)\n", "spear_corrs3m['mycorr'] = spear_corrs3m.mymantel.apply(lambda x: x[0])\n", "spear_corrs3m['mylci'] = spear_corrs3m.mymantel.apply(lambda x: x[3][0])\n", "spear_corrs3m['mycci'] = spear_corrs3m.mymantel.apply(lambda x: x[3][1])\n", "spear_corrs3m['myerr'] = spear_corrs3m['mycci'] - spear_corrs3m['mycorr']\n", "\n", "# List by Type FB Only Common Sample\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "sns.barplot(x=\"DistType_1\", y=\"mycorr\", hue=\"DistType\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], palette='PuBuGn_r_d', estimator=np.max, ci=None, saturation=1, ax=ax, yerr=[corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr'].values[0]])\n", "ax.set_title('Pearson Correlations')\n", "ax.set_ylabel('Correlation')\n", "ax.set_xlabel('Distance Types')\n", "ax.legend(loc='upper right')\n", "plt.savefig(pathout+'Figure-B4-B.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Regression Analysis and Partial Mantel Tests" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## Figure-B4-C\n", "## Partial Correlation (Residuals on Residuals)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# Some functions required for the analyses\n", "# Regressions\n", "def mysample(myvars, df, FE=True, dummy_cols=['ISO_CODE_1', 'ISO_CODE_2'],\n", " cluster_cols = ['ISO_CODE_1', 'ISO_CODE_2'], zscores=True):\n", " '''\n", " Create sample dataframe based on variables\n", " First variable is dependent variable\n", " It adds dummies for FE\n", " Adds cluster variables\n", " '''\n", " if len(myvars)<2:\n", " print('A regression needs at least one dependent and one independent variable!')\n", " pass\n", " else:\n", " k = 0\n", " for v in myvars:\n", " if k==0:\n", " mydf = (df[v].isnull()==False).astype(int)\n", " k += 1\n", " else:\n", " mydf *= (df[v].isnull()==False).astype(int)\n", " mydf = df.loc[mydf==1].reset_index(drop=True).copy()\n", " if zscores:\n", " mydf[myvars] = mydf[myvars].apply(zscore)\n", " myeq = myvars[0] + ' ~ ' + \" + \".join(myvars[1:])\n", " if FE:\n", " dummies = pd.get_dummies(mydf[dummy_cols], prefix='_I', prefix_sep='_')\n", " dummies = dummies.T.groupby(level=0).sum().T\n", " dummy_columns = \" + \".join(dummies.columns)\n", " myeq += ' + ' + dummy_columns\n", " mydf = mydf.merge(dummies, left_index=True, right_index=True).copy()\n", " clustercols = []\n", " for v in cluster_cols:\n", " mydf['cluster_'+v] = mydf[v].astype('category').cat.codes\n", " clustercols.append('cluster_'+v)\n", " return [mydf, myeq, clustercols]\n", "\n", "# Partial Mantel Test\n", "def mymantelreg(Dist1, Dist2, ci=[5, 95], method='pearson', seed=128, FE=True, **kwds):\n", " '''Compute Mantel test between Distance 1 and 2'''\n", " np.random.seed(seed)\n", " othervars = pd.Index(measures).difference([Dist1, Dist2]).tolist()\n", " mydist = df[codes + measures].copy()\n", " mydist = mydist.dropna().reset_index(drop=True)\n", " myvars = [Dist1, Dist2]\n", " for y in myvars:\n", " [mydf, myeq, clustercols] = mysample([y] + othervars, mydist, FE=FE)\n", " results1 = smf.ols(myeq, data=mydf).fit(cov_type='cluster', cov_kwds={'groups': np.array(mydf[clustercols])})\n", " #print(results1.summary())\n", " mydist[y + '_res'] = results1.resid\n", " results1 = smf.ols(Dist1+'_res' + ' ~ ' + Dist2 + '_res ' , data=mydist).fit(cov_type='cluster', cov_kwds={'groups': np.array(mydf[clustercols])})\n", " #print(results1.summary())\n", " results1 = smf.ols(Dist1 + ' ~ ' + Dist2 + '_res ' , data=mydist).fit(cov_type='cluster', cov_kwds={'groups': np.array(mydf[clustercols])})\n", " #print(results1.summary())\n", " r1 = results1.rsquared\n", " otherdist = pd.pivot_table(mydist[codes + [Dist2 + '_res']], index=codes[0], values=Dist2 + '_res', columns=codes[1])\n", " mydistor = pd.pivot_table(mydist[codes + [Dist1 ]], index=codes[0], values=Dist1 , columns=codes[1])\n", " mydist = pd.pivot_table(mydist[codes + [Dist1 + '_res']], index=codes[0], values=Dist1 + '_res', columns=codes[1])\n", " mydist = mydist.values\n", " np.fill_diagonal(mydist, 0)\n", " mydist = (mydist + mydist.T)/2\n", " mydistor = mydistor.values\n", " np.fill_diagonal(mydistor, 0)\n", " mydistor = (mydistor + mydistor.T)/2\n", " otherdist = otherdist.values\n", " np.fill_diagonal(otherdist, 0)\n", " otherdist = (otherdist + otherdist.T)/2\n", " mymantel = MantelTest(mydist, otherdist, ci=ci, method=method)\n", " mymantel_semi = MantelTest(mydistor, otherdist, ci=ci, method=method)\n", " return mymantel, r1, mymantel_semi\n", "\n", "# NO FE\n", "codes = ['ISO_CODE_1', 'ISO_CODE_2']\n", "corrs3m = corrs3.copy()\n", "corrs3m = corrs3m.loc[corrs3m.Dist1.apply(lambda x: x in measures)]\n", "corrs3m = corrs3m.loc[corrs3m.Dist2.apply(lambda x: x in measures)]\n", "corrs3m.reset_index(inplace=True, drop=True)\n", "corrs3m['mymantel'] = corrs3m.apply(lambda x: mymantelreg(x.Dist1, x.Dist2, FE=False), axis=1)\n", "corrs3m['mycorr'] = corrs3m.mymantel.apply(lambda x: x[0][0])\n", "corrs3m['mylci'] = corrs3m.mymantel.apply(lambda x: x[0][3][0])\n", "corrs3m['mycci'] = corrs3m.mymantel.apply(lambda x: x[0][3][1])\n", "corrs3m['myerr'] = corrs3m['mycci'] - corrs3m['mycorr']\n", "corrs3m['semi-partial'] = corrs3m.mymantel.apply(lambda x: x[1])\n", "corrs3m['mycorr_semi'] = corrs3m.mymantel.apply(lambda x: x[2][0])\n", "corrs3m['mylci_semi'] = corrs3m.mymantel.apply(lambda x: x[2][3][0])\n", "corrs3m['mycci_semi'] = corrs3m.mymantel.apply(lambda x: x[2][3][1])\n", "corrs3m['myerr_semi'] = corrs3m['mycci_semi'] - corrs3m['mycorr_semi']\n", "\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "sns.barplot(x=\"DistType_1\", y=\"mycorr\", hue=\"DistType\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], palette='PuBuGn_r_d', estimator=np.max, ci=None, saturation=1, ax=ax, yerr=[corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr'].values[0]])\n", "ax.set_title('Pearson Correlations')\n", "ax.set_ylabel('Correlation')\n", "ax.set_xlabel('Distance Types')\n", "ax.legend(loc='upper right')\n", "plt.savefig(pathout+'Figure-B4-C.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Semi-Partial $R^2$" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "fig, ax = plt.subplots(figsize=(15,10))\n", "sns.barplot(x=\"DistType\", y=\"semi-partial\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], palette='PuBuGn_r_d', estimator=np.mean, ci=None, saturation=1, ax=ax)\n", "ax.set_title(r\"Semi-Partial $R^2$\")\n", "ax.set_ylabel(r'Semi-Partial $R^2$')\n", "ax.set_xlabel('Distance Types')\n", "#ax.legend(loc='upper left')\n", "plt.savefig(pathout+'Figure-B4-E.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Semi-Partial Correlation" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "fig, ax = plt.subplots(figsize=(15,10))\n", "sns.barplot(x=\"DistType_1\", y=\"mycorr_semi\", hue=\"DistType\", data=corrs3m.loc[corrs3m.DistType_1=='FB'], palette='PuBuGn_r_d', estimator=np.max, ci=None, saturation=1, ax=ax, yerr=[corrs3m.loc[corrs3m.DistType_1=='FB', 'myerr_semi'].values[0]])\n", "ax.set_title('Pearson Correlations')\n", "ax.set_ylabel('Semi-Partial Correlation')\n", "ax.set_xlabel('Distance Types')\n", "ax.legend(loc='upper right')\n", "plt.savefig(pathout+'Figure-B4-D.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Robustness - By Type of Distance (Figure B2 - robustness)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Semi-Partial $R^2$ (Joint)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# Semi-Partial R^2\n", "FBcorrRegs = FBcorr.copy()\n", "FBcorrRegs = FBcorrRegs.loc[FBcorrRegs.Dist2.apply(lambda x: x.find('cognate')==-1)]\n", "FBcorrRegs['DistType'] = FBcorrRegs.Dist2.apply(assign_type)\n", "FBcorrRegs = FBcorrRegs.sort_values(['DistType', 'Dist2']).reset_index(drop=True)\n", "allcols = FBcorrRegs.Dist2.tolist()\n", "for m in set(FBcorrRegs.DistType):\n", " mcols = FBcorrRegs.loc[FBcorrRegs.DistType==m]['Dist2'].tolist()\n", " diffcols = list(set(allcols).difference(set(mcols)))\n", " myvars = ['FBDist'] + allcols\n", " [mydf, myeq, clustercols] = mysample(myvars, mypairs, FE=False)\n", " results1 = smf.ols(myeq, data=mydf).fit(cov_type='cluster', cov_kwds={'groups': np.array(mydf[clustercols])})\n", " r1 = results1.rsquared\n", " myvars = ['FBDist'] + diffcols\n", " [mydf, myeq, clustercols] = mysample(myvars, mypairs, FE=False)\n", " results1 = smf.ols(myeq, data=mydf).fit(cov_type='cluster', cov_kwds={'groups': np.array(mydf[clustercols])})\n", " FBcorrRegs.loc[FBcorrRegs.DistType==m, 'Semi-Partial-R2'] = r1 - results1.rsquared\n", "\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "sns.barplot(x=\"DistType\", y=\"Semi-Partial-R2\", data=FBcorrRegs, palette='PuBuGn_r_d', estimator=np.mean, ci=99, saturation=1, ax=ax)\n", "ax.set_title(r\"Semi-Partial $R^2$\")\n", "ax.set_ylabel(r'Semi-Partial $R^2$')\n", "ax.set_xlabel('Distance Types')\n", "#ax.legend(loc='upper left')\n", "plt.savefig(pathout+'TypeRegsSemiPartialR2.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Semi-Partial $R^2$ (Individual)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# Semi-Partial R^2 by measure controlling for all measures of all other types\n", "FBcorrRegs = FBcorr.copy()\n", "FBcorrRegs['DistType'] = FBcorrRegs.Dist2.apply(assign_type)\n", "FBcorrRegs = FBcorrRegs.sort_values(['DistType', 'Dist2']).reset_index(drop=True)\n", "allcols = FBcorrRegs.Dist2.tolist()\n", "for m in set(FBcorrRegs.DistType):\n", " mcols = FBcorrRegs.loc[FBcorrRegs.DistType==m]['Dist2'].tolist()\n", " diffcols = list(set(allcols).difference(set(mcols)))\n", " for m1 in mcols:\n", " myvars = ['FBDist'] + diffcols + [m1]\n", " [mydf, myeq, clustercols] = mysample(myvars, mypairs, FE=False)\n", " results1 = smf.ols(myeq, data=mydf).fit(cov_type='cluster', cov_kwds={'groups': np.array(mydf[clustercols])})\n", " r1 = results1.rsquared\n", " myvars = ['FBDist'] + diffcols\n", " [mydf, myeq, clustercols] = mysample(myvars, mypairs, FE=False)\n", " results1 = smf.ols(myeq, data=mydf).fit(cov_type='cluster', cov_kwds={'groups': np.array(mydf[clustercols])})\n", " FBcorrRegs.loc[FBcorrRegs.Dist2==m1, 'Semi-Partial-R2'] = r1 - results1.rsquared\n", "\n", "fig, ax = plt.subplots(figsize=(15,10))\n", "sns.barplot(x=\"DistType\", y=\"Semi-Partial-R2\", data=FBcorrRegs, palette='PuBuGn_r_d', estimator=np.mean, ci=99, saturation=1, ax=ax)\n", "ax.set_title(r\"Semi-Partial $R^2$\")\n", "ax.set_ylabel(r'Semi-Partial $R^2$')\n", "ax.set_xlabel('Distance Types')\n", "#ax.legend(loc='upper left')\n", "plt.savefig(pathout+'TypeRegsSemiPartialR2Plus.pdf', dpi=300, bbox_inches='tight')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 4 }