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configuring-jupyter-notebook.ipynb
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configuring-jupyter-notebook.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:35.399339Z",
"start_time": "2018-07-25T08:28:35.193270Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"from IPython.display import display, Math, HTML, Javascript\n",
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {
"toc": true
},
"source": [
"<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
"<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Introduction\" data-toc-modified-id=\"Introduction-1\"><span class=\"toc-item-num\">1 </span>Introduction</a></span></li><li><span><a href=\"#Notebook-Extensions\" data-toc-modified-id=\"Notebook-Extensions-2\"><span class=\"toc-item-num\">2 </span>Notebook Extensions</a></span></li><li><span><a href=\"#Custom-CSS-for-the-notebook\" data-toc-modified-id=\"Custom-CSS-for-the-notebook-3\"><span class=\"toc-item-num\">3 </span>Custom CSS for the notebook</a></span></li><li><span><a href=\"#Creating-high-quality-inline-figures\" data-toc-modified-id=\"Creating-high-quality-inline-figures-4\"><span class=\"toc-item-num\">4 </span>Creating high quality inline figures</a></span></li><li><span><a href=\"#Styling-Matplotlib-figures\" data-toc-modified-id=\"Styling-Matplotlib-figures-5\"><span class=\"toc-item-num\">5 </span>Styling Matplotlib figures</a></span></li><li><span><a href=\"#Styling-how-Pandas-print-cells\" data-toc-modified-id=\"Styling-how-Pandas-print-cells-6\"><span class=\"toc-item-num\">6 </span>Styling how Pandas print cells</a></span></li><li><span><a href=\"#Auto-reload-files\" data-toc-modified-id=\"Auto-reload-files-7\"><span class=\"toc-item-num\">7 </span>Auto reload files</a></span></li><li><span><a href=\"#Conclusion\" data-toc-modified-id=\"Conclusion-8\"><span class=\"toc-item-num\">8 </span>Conclusion</a></span></li><li><span><a href=\"#References\" data-toc-modified-id=\"References-9\"><span class=\"toc-item-num\">9 </span>References</a></span></li></ul></div>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Introduction\n",
"In this notebook I will go through how I have set up the styling and extensions for my Jupyter Notebooks. It should generally improve readability and quality-of-life for the Notebook user. The notebooks will describe the contents of the following files:\n",
"\n",
"1. `~/.jupyter/nbconfig/notebook.json`: This file contains a list of all the Notebook Extensions I use. The extensions could also be enabled using the extension manager.\n",
"1. `~/.jupyter/custom/custom.css`: A file that includes the CSS used to render the notebook. I use this file to set the width and alignment of the different kinds of cells.\n",
"1. `~/.ipython/profile_default/ipython_config.py`: A file which contains the default settings for how figures are shown in the notebook. I use it to increase the quality of the figures.\n",
"1. `~/.config/matplotlib/stylelib/my_mpl_style.mplstyle`: A file that that changes the default parameters for matplotlib.pyplot. This means that we can have a custom and consistent look across all our notebooks.\n",
"\n",
"If you are using Anaconda, the paths may be different. Below I will go through each of these files.\n",
"\n",
"\n",
"Together these file form my customization of my Jupyter notebooks.\n",
"\n",
"# Notebook Extensions\n",
"I use the following extensions\n",
"1. **ExecuteTime** -- This puts the runtime as well as a timestamp at the end of every cell that has been executed.\n",
"1. **autoreload** -- Allows me to have some module automatically reload. Handy when you can to keep some of your function outside the notebook, but still have the convenience of quick editing.\n",
"1. **Hinterland** -- Enable code autocompletion menu for every keypress in a code cell, instead of only enabling it with tab.\n",
"1. **Highlight selected word** -- As the name suggests it highlights all occurrences of the selected word.\n",
"1. **Table of content** -- This allows me include a table of content in the notebook."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Custom CSS for the notebook\n",
"I love Jupyter Notebook, but there are some things about the default styling of the cells that I don't like, e.g. the figures are left-centered and the text fields are too wide. So I was quite happy to learn that Jupyter will use the following file if it exists: `~/.jupyter/custom/custom.css`."
]
},
{
"cell_type": "markdown",
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-22T08:30:01.779425Z",
"start_time": "2018-07-22T08:30:01.725278Z"
}
},
"source": [
"```css\n",
"@import url(\"https://fonts.googleapis.com/css?family=Muli\");\n",
"\n",
"body {\n",
" font-family: \"Muli\", sans-serif;\n",
"}\n",
"\n",
"img {\n",
" display: block;\n",
" margin: auto;\n",
"}\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Defining a reference figure\n",
"Since we will be comparing the styling and position of figures I will define a function that returns a figure."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:35.418644Z",
"start_time": "2018-07-25T08:28:35.401513Z"
}
},
"outputs": [],
"source": [
"n_curves = 4\n",
"random_data = np.random.rand(100,n_curves)\n",
"sorted_data = [sorted(random_data[:,i]) for i in range(n_curves)]\n",
"def create_figure(sorted_data, fig_name):\n",
" fig, ax = plt.subplots()\n",
" for y in sorted_data: \n",
" ax.plot(y, label='label');\n",
" ax.set_title(\"Title\", loc='left')\n",
" ax.set_xlabel('X Label')\n",
" ax.set_ylabel('Y Label')\n",
" ax.legend()\n",
" fig.tight_layout()\n",
" fig.savefig('../figs/'+fig_name)\n",
" return fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets have a look at the plain figure."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"image/png": {
"height": 279,
"width": 422
}
},
"output_type": "display_data"
}
],
"source": [
"fig = create_figure(sorted_data, 'plain')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Figure in the margin"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"this.element.attr(\"id\", \"margin-figure\")"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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w8/MjMjKS7du3l1l3yJAhPPLII3z66ad07drVc06Tn58fixYtKjEDNXXqVHbs2MGCBQtYtmwZAwcOJCIigrS0NBISEtiwYQMxMTEKmkRERKTG2pK6hT+t/RNpuWmeNLuxc0e7O3iw64PU9atbqk5yZh73/eMbT8Dk723n1eNxND38nadM+LPPlAyYMg7Bd/+Cnf+CtN1n0tv/En7+EphytxOo1RQ0SY22cOFCWrVqxQcffMBrr71GWFgYv/rVr3juuee47bbbyq3Xu3dvnnnmGaZOncq8efOwLIuBAwcSExNDr14lD1nz9vbm448/5t133yU2Npbly5eTnZ1NWFgYLVu2ZMaMGYwePbq6hyoiIiJy3lyWi0XfLWLetnkldsLr36Q/U3pOoVVIqzLr5RQ4uS92M6mn3FuGB/t58VGjw7g+WuYpU3/s/dS9/XbIOQ67/uNehnd4U+nGmvWF2xaCzV467wphLMs6dyk5b8aYLd27d+++ZcuWCsud3sq6Q4cOl6JbchnobywiIiLVIT0/nSfXPcmGoxs8aaG+ocy8cSZRTaPKrVfksvjDO1v4fI974ywvm+G9zg7qzHwSXC4Agq6/lojbW2PSvoOkzVDW1uTeAdD51xAdA/6hVTu4KtCjRw+2bt261bKsHhfblmaaRERERERqmc0pm/nz2j+TlndmOV63ht148eYXCQ8Mr7DuC5/u4fM9qRhcXGuS+L+6e/F74TOs4oDJr34h1zRbg9mypnRlY4c2P4Prbod2PwffOlU5rBpLQZOIiIiISC1hWRZv7nyTedvn4bJcnvT7Ot/HhG4T8LZVsBOwZbF0TTw56z5i4YmttE45gjPZhiPby7NthHegk6b90rH9NEpo2geuGwmdRkBggyofV02noElEREREpBawLIu/bv4r7+x+x5NW17cuMTfF0K9Jv4oq4lzzOunvzqP7D3m0S/XBKrKRR8md9GzeLppGZeDVpC2Ed4ZGnSH8OgjvAkGNqmtYtYKCJhERERGRWmDhdwtLBEzdG3bnxZtfpFFg2QGNZVnkbfick69O5dSuk1guA/iVKmd8bAR2bkXYA/fhe8Ng8PYv3dhVTkGTiIiIiEgN99G+j3h166ue+0HNBvHXqL/iVWodHRRlZ3Nq2TIyYt+g4FBKcWrJrcDtDUMIuflGAoeMIOD667H5+JRqR85Q0CQiIiIiUoOtSlzFjK9meO57h/fmhZtfKBUwFWXncOzll8n8+D+4cvNKtZNV158lzQfxuylj6ND7umrv95VEQZOIiIiISA0VfzSeP6/7M1bxVg2d6nfi1YGv4mv3LVHOsiyOPDyFnLXrSqQbuwuvZhavtRjBf+v3Z+FdPencNuyS9f9KoaBJRERERKQG2nlsJ3/88o84XU4AWgS3YP6g+QR6B5Yqm/nvf5cImHyCHdRtk8MXTbozzXY3BfZAFozuTj8FTBdEQZOIiIiIyGViWRZOy4nT5X45XA6cLifJOclMWD2BPKd7mV2jgEa8ccsb1POrV6oNx9GjpMbM9NzXvTYb3+6GPxU+wGeunththtd+252fdbi6d8C7GAqaREREREQusVxHLi9+8yLLDy6noKigwrKhvqG8ccsbNK7TuFSeZVkkPzwBV567DZ8gJ+ndr2FM/kOcIASbgdm/iWRI54oPvJWKKWgSEREREbmEkrOTmfzlZL5P//6cZf29/Hl90Ou0Cm1VZv7JN14hZ3txO8bCfoMPv81/mEzqYAz8dWRXbu16TVV2/6qkoElERERE5BLZmrqVKWumkJ6f7kmzGzteNi+8bF5427w97+v61uVPvf5E5wady2yrcPfXpM59g9Pbifu1czIq4AkyqQNAzPDruK1Hk2of09VAQZOIiIiIyCXwr33/ImZTjGdjBy/jxZN9nuT2a28/77as7OMcnXgvltMdMHkFFzHp2oc4SgMApt3akVG9m1Vd569ytsvdAZHTEhMTMcZw9913X3Aba9aswRjDtGnTqqxfP1UV/RQREZGrh8Pl4C+b/sL0r6Z7Aqa6vnX5e/TfLyhgwpFHyiO/IO9okfveWCzoPozvbK1oVi+ABb/rwd03tqzCEYhmmkREREREqsnJ/JM8EvcIX6d87UlrV7cdcwbO4Zo65/esUWaeg/hvvyf8k4fxX3+S0/Mfm69tz+eNb2Hqz9ryuz7N8PWyV+UQBAVNIiIiIiLV5vF1j5cImKKbRzPjxhkEeAdUqv7h9Fw+25XM0R2fEZn6MbfwNclxoeQVuQ+3zQypQ9K901l7S0dCAryrZQyioElEREREpFpsT9vOhqMbPPcTIycyrss4jDHl1snKd7D5UAYbD55g+54EIk/8jzvtX9DSlorTYePoxlDyjrsDJstmCJ+9gCdu6FrtY7naKWiSGm3fvn0sWrSIzz//nEOHDnHq1CnCw8MZPHgwzzzzDE2alL8jzFdffcXUqVP55ptvcLlc9O3bl5iYGHr27FmqrNPp5I033uDtt99m9+7dOJ1O2rVrx3333cf48eOx2fT4n4iIiJyfhTsXet7/qvWv+EPXP5zJtCzYvJCibf8kLyeb3EIneYVOChxOmgC3Y/GIScXH2/3cUu5xb45sqIcz78zSu7Dx4wm7ocelGs5VTUGT1GhLlixhwYIFDBgwgL59++Lj48OuXbt48803WbZsGZs3byYiIqJUvU2bNvH8888zaNAgJkyYwP79+1myZAlr165l1apV9OvXz1PW4XBw6623snLlStq1a8eoUaPw8/Pjyy+/ZNKkSWzatIl33nnnUg5bREREarl9GftYk7QGAIPhvs73nckscsDyP8K2d7EDdYpfQKlt2iwL0vcGkrYjGKwzM1T1//AHGowfX40jkLMpaJIabcyYMUyZMgVfX98S6atWrWLo0KHMnDmT119/vVS9FStWMHfuXCZOnOhJW7p0KcOHD+fee+9l7969ntmjmJgYVq5cycSJE5k9ezZ2u/sXnKKiIsaNG8eiRYsYOXIkw4YNq8aRioiIyJXk7FmmnzX72ZnDafMz4cO74OCX52yjqNBw9NuWZO/P96TZQ0K45sX/o05UVJX3WcqnoKmmmxZyuXtQedMyq7zJsmaRAKKjo+nUqRMrV64sM79NmzaM/8mvL8OGDSMqKoq4uDjWrVtHVFQULpeLuXPnEh4eziuvvOIJmADsdjuzZs3irbfeYvHixQqaREREpFIOnzrMisQVnvv7r7vf/SYzCRbfAWm7PHkfOW9mecBw+rYJo0uTUDpHhBLk701+QiJJz76EI+mop6xfly40eeVlvMv5fiTVR0GT1GiWZbF48WJiY2PZsWMHGRkZFBUVefJ9fHzKrNevX78yn0Pq378/cXFxbNu2jaioKPbt20d6ejpt27Zl5syZZbbl7+/Pnj17qmZAIiIicsV7a9dbuCwXADc0voFODTpB8rfwzzsgK9lT7mXHSOYUjWDRr3sxsH0jT3ru1m38OPEprLw8T1rd3/2ORn96DFPOdx+pXgqapEZ7+OGHmT17No0bN2bw4MFERETg7+8PQGxsLIcOHSqzXqNGjcpMDw8PByAz0z0rduLECQASEhKYPn16uf3Izs6+4DGIiIjI1SMtN42P93/suR/bZSwkfAYf3Q2F7u8TLuPNowX3scR1M42Cfbm5bZinfP6+fRx+4AFPwGQLCKDxX2IIHjLkko5DSlLQVNNVw5K32iItLY05c+bQuXNn4uPjCQoKKpH/3nvvlVs3NTW1zPSUlBQAQkJCSlxHjBjBkiVLqqLbIiIicjWyLMjL4O1Nf8XhcgDQxR5Ez/8+BUmbwSpeKeMbwqzQp1lyyL3EbmSPJnjZ3atjHEeOcPj+sbhOnQLAXq8ezd95G9/WrS/9eKQEBU1SYx08eBCXy0V0dHSpgCkpKYmDBw+WW3f9+vW4XK5SS/TWrFkDQLdu3QBo3749oaGhbNy4EYfDgbe3DoUTERGR87RnOax4gsysJD5seg0Uf/8Ye+Qg5qwldoQ05fiwd3n970c8Sbf3aAqAMz2dH++7H2daGgC2wECa/v0NBUw1hA6fkRqrRYsWgDsAOvs5puzsbMaOHYvT6Sy3bkJCAvPnzy+RtnTpUuLi4mjTpo1ny3EvLy8mTZpEcnIykydPJu/s/7AVS05OZvfu3VUwIhEREbmiuIpg9XPwwWjI/JF/BtchrzhgalNYyM1nf69o1hfuX80Hh+rgstxJvVvWo0WDQIqyczg8dhyFiYkAGG9vmrw2D/9OnS7xgKQ8mmmSGis8PJw777yT999/n8jISKKjo8nMzOSzzz7Dz8+PyMhItm/fXmbdIUOG8Mgjj/Dpp5/StWtXzzlNfn5+LFq0qMQM1NSpU9mxYwcLFixg2bJlDBw4kIiICNLS0khISGDDhg3ExMTQsWPHSzV0ERERqely0+Hf98OB1e5bY1gcHOzJvr/hDdi63Qx1W0K9VhDaDAv4aPOZH2J/06sprsJCkiZNJH9X8Y56xnDNSy8R2KfPpRyNnINmmqRGW7hwIU8++SR5eXm89tprrFy5kl/+8pfEx8d7nkcqS+/evVmzZg0FBQXMmzePTz/9lIEDB7J27doSB9sCeHt78/HHH/P222/Trl07li9fzqxZs1ixYgUul4sZM2YwevTo6h6qiIiI1BYpO+GN/p6ACeCjlt3ILH42qUmdJgy+9U3oeS+0HgB1m4MxfP1DOokncgEI8vViSIeGHH3sT+R+tdHTTvizzxI8OPqSDkfOzViWdbn7cEUyxmzp3r179y1btlRY7vRW1h06dLgU3ZLLQH9jERGRK8i3H8Ink8F5Zuld4U1TGJq+lrS8YwBM7TOVO9rdUarqwx9uZ8lW9/NMd3Wpz7htSzi1bJknP+yhyTR48MFqHsDVo0ePHmzdunWrZVk9LrYtLc8TERERETkXRx58Pg02LTiT5hNE4pAZzDm10xMwhfmHMazNsFLVT+U7+N/OZLAsbj6yg9+s/ZRT6Sc8+XXHjKH+Aw9U9yjkAiloEhERERGpyIEv4b8PQ/qZnXt/CGvDG9f24X/fzfYcZAvw+46/x9fuW6qJ5TuSCT15jPE7ltArbW+JvJARI2j0xOMYY6pvDHJRFDSJiIiIiJQlOw1WPgk7P/Ik/eDtxRvNOvE/KxPX0bUlikc3j2ZUh1GlmrEcDlIW/I0Fmz7B13Vm91+vsDAaPfUUQYOjFTDVcAqaRERERETO5nLB1n/A589CfiYAWcbwQsNGLA/wxeXKKFH85rAbGFfUl+Yngshe/AGu3NwSr8wt2xh66IczFYyh7qhRhP3xIew/OYtSaiYFTSIiIiIip6XuhuV/hMObPEmJXl5MataKRCsfcG+i5uW0uDOzPb/4IRTv+K24ctaRXInmjzVqTq+5L+LfpUv19F+qhYImEREREZHcdFjzPHyzEKwiT3J8WAseDfElqygPL6fFdYkWww6F0WF3FibbfbaSq7w2z5Jn9+GdDoMZPmMK/h0aV9MgpLooaBIRERGRq1eRE7bGwhcxFGVmkHvMh4JMf5z5Xuz3jyD5q5NMyykkJAeCPbuMp5Zqxrt5MwIiu2GrUwdbQAC2wABsAQF8l+7gjS2p7GzQisCGYbzULvxSjk6qiIImEREREbkqFe36jLy3nyRnbwq5aT7kZ4SDdWZDhvpkUL+C+t5NmhA8dCjBQ4fg26FDqc0cdhw+ydPvbePHCHegdFePJtht2vChNlLQJCIiIiJXLMvpxJGSiuPIERxHj7qviQnkbl+H40hOcZBUp3KNGYN3kyYE3XILwUOH4te5U5m73jmLXLy+5gCvrk7A6XI/A+VtN9zes2kVjkwuJQVNIiIiInLFyVqzhrSXXqLw4A/u3fDKVDLgcQE/hMPeJoYTwYaTAdCxbV/uumky/g3Dsdeti/Gq+OvzoRM5TPlgO1t/POlJC/Sx838ju9C0XsBFjkouFwVNIiIiInJFyd6wgaRJk8HhqLCcCzjUCHY1M+xqbtjT1JDr5w6kbMbGoz0f5XcdflepM5Qsy+KjzUlMX7aLnMIzG0n0bF6Xl++IpFl9BUy1mYImEREREbli5O3axZGfBEzZwT4crVPIsRDDsRA4FmJID4H05sHkhwRhMzZsxkZDY8cYQ0P/htzf5X76NO7jaSO30Mm+1GzSTuUOLmU2AAAgAElEQVST5ygip6CI3EInuYVF5BQ62ZOcxdp9xzzlvWyGKbdcywNRrfUc0xVAQZOIiIiIXBEKDx/m8B8ewJWbC0B2qC+PjXJyIsTF6a+9XpbFbVnZ/LnB9TS68wMonkVyuSwKi1wUOF0czy5gb0oWL3+3j++TT7E3NYsf03OxrMr1o1VYILN/E0mXJqHVMUy5DBQ0SY2RmJhIy5Ytueuuu4iNjb2gNtasWcOAAQN49tlnmTZtWpX277Sq6KeIiIhULWd6Oj/efz9Fx48DkOdv45mRTk6EFC+3A27NyuaBk5mEEcCdub/hx5mfU+B0Ueh0UVhUmdOWzu33NzTniaEd8PexV0l7UjMoaBIRERGRWs2Vk8PhPzyA49CP7ntvO3+5DZLC3AHTkIa9eHDrJ7QqXrL3qGMU27L9gMJKf4bNQMsGgTSvH0igrxeBPnb8fewE+ngR4GsnwNtOj+b1uK5JSJWPTy4/BU0iIiIiUmtZDgdJU6aQv3OnO8FmY95wb/Y2dQIwJXIS96570/OM0/7g3vwr7eYy2/LxsuFrt1HHz4s2DevQoXEw7RoF0S48iDYN6+Dnrdmjq5WCJhERERGplSzLIvmZZ8lZu86TtvaOa1nfcj8AbULbMOZYMhzf6y7vE8gDJ8dweqvxBb/rTt82DfD1suFjt1Vqlzy5OtkudwdEKrJv3z4ef/xxevbsSVhYGL6+vjRv3pxx48aRlJRUYd2vvvqKQYMGERISQlBQEIMHD2bz5s1llnU6ncyfP58+ffoQHBxMQEAA3bp1Y968ebjKPdtBRERELqcTf/sbmf/5j+c+a9QQ5hUHTADPtB2F94ZXPffxLSaxv7AeAG0b1mFwp3CC/bzx9bIrYJIKKWiSGm3JkiUsWLCApk2b8tvf/pZJkybRsWNH3nzzTXr16sWRI0fKrLdp0yb69++Pr68vEyZMYOjQoaxevZp+/fqxbt26EmUdDge//OUvmTBhAidPnmTUqFGMGzcOl8vFpEmTuOuuuy7FUEVEROQ85MTHc+zVOZ77wBHDeKrDTs/9bW1G0G3tHLDcZyZZzW7gz4d6efLvvamlAiWpNC3PkxptzJgxTJkyBV9f3xLpq1atYujQocycOZPXX3+9VL0VK1Ywd+5cJk6c6ElbunQpw4cP595772Xv3r3YbO7fDGJiYli5ciUTJ05k9uzZ2O3u9cpFRUWMGzeORYsWMXLkSIYNG1aNIxUREZHKcqSkcOSRRzm9B3hAr178e3gDUr5PBaCu8WHKztWQ8p27gpcfa9s/Q9K+DADqBfowolvEZem71E4Kmmq46/5x3eXuQqXtvGvnuQudp4iIsv+DFh0dTadOnVi5cmWZ+W3atGH8+PEl0oYNG0ZUVBRxcXGsW7eOqKgoXC4Xc+fOJTw8nFdeecUTMAHY7XZmzZrFW2+9xeLFixU0iYiI1ACWw8GRKQ9TlOEOgOwhgeQPKOAfe/5x+lElHk1LJiQ750yl/k8wZ8eZ29G9m2lTBzkvCpqkRrMsi8WLFxMbG8uOHTvIyMigqKjIk+/j41NmvX79+nlmks7Wv39/4uLi2LZtG1FRUezbt4/09HTatm3LzJkzy2zL39+fPXv2VM2ARERE5PwlboAf4+F4Amn/2kLeNvfhtRiLa3oc4kHHKYr83KtSeublc+vZAVO337G96e/YsnwTAN52w5g+zS/1CKSWU9AkNdrDDz/M7Nmzady4MYMHDyYiIgJ/f38AYmNjOXToUJn1GjVqVGZ6eHg4AJmZmQCcOHECgISEBKZPn15uP7Kzsy94DCIiInKBThyAFY9DwioATv3oR/rWep7shl1OsbKVN9uLAyYvy2KqTzPMjaOgWR9ocj0E1mfRe9s8dW7teg0Ng/0u7Tik1lPQVMNVx5K32iItLY05c+bQuXNn4uPjCQoKKpH/3nvvlVs3NTW1zPSUlBQAQkJCSlxHjBjBkiVLqqLbIiIicrEKc2DdLIifC0XuA2gLTtlJ/jrUU8S/qZPvB7XkZZ9cwH0m0z2d76dVzz+WaCo5M4//7Uz23N93U8vq779ccRQ0SY118OBBXC4X0dHRpQKmpKQkDh48WG7d9evX43K5Si3RW7NmDQDdunUDoH379oSGhrJx40YcDgfe3t5VOwgRERGpPMuC3R/Dyqfg1Jkdcl1OG0lbWuJyupflZdT35f47fDnlc8pTpkmdJoyLfKBUk/+IP4TT5d4wok+renS6JqSaByFXIm05LjVWixYtAHcAdPZzTNnZ2YwdOxan01lu3YSEBObPn18ibenSpcTFxdGmTRv69esHgJeXF5MmTSI5OZnJkyeTl5dXqq3k5GR2795dBSMSERGRMlkWJG3GevtWjv/7XrYXHGN5YAALQoOZ2rQt/z7QjsJUd8BUaIe/DHNyyufMdwMv48XUPlPx8yq57C630Ml7X//oub/vplaXZjxyxdFMk9RY4eHh3Hnnnbz//vtERkYSHR1NZmYmn332GX5+fkRGRrJ9+/Yy6w4ZMoRHHnmETz/9lK5du7J//36WLFmCn58fixYtKjEDNXXqVHbs2MGCBQtYtmwZAwcOJCIigrS0NBISEtiwYQMxMTF07NjxUg1dRESkVjued5wTeSfIdmSTVZhV4pXtyCbbkU1OfibZpw6Tk51Mdv5Jcqwi0u028po3AcC4LG7cbXHbhhwi0s+0vXCwjUON3NvktQltQ+/Gvbm19a10qt+pVD/+vSWJzDwHAM3rBzCwfcPqH7xckRQ0SY22cOFCWrVqxQcffMBrr71GWFgYv/rVr3juuee47bbbyq3Xu3dvnnnmGaZOncq8efOwLIuBAwcSExNDr169SpT19vbm448/5t133yU2Npbly5eTnZ1NWFgYLVu2ZMaMGYwePbq6hyoiIlJrpeSk8HXK13yd/DWbUzdzJLvsw+fL5WU4/bXU5rK4cZfFbfEurkkvWWxT9zrUG/kLXmzcm17hvWjg36DcJl0ui0UbEj339/Rtgd2mw2zlwhir+FAwqVrGmC3du3fvvmXLlgrLnd7KukOHDpeiW3IZ6G8sIiJXGpfl4osfv2D9kfV8nfI1h7MOX3SbNpfFTbssRsZbhKeX/H5qBfrjP/oOWkx6BFPJ549X70nlvn9sBiDIz4uNT/yMQF/NF1xNevTowdatW7daltXjYtvSPzkiIiIiUmlpuWk8uf5JNiVvKreMv5c/1wReQ5BPEEE+QdTxqUNw2j6CjmyljstFkMsiKM8iNLshATmN8Umzw/5kyMkt0Y4tKIh6v/899X4/BntI5TdwOJXv4MUVez33v72+mQImuSi18p8eY0wT4DlgCFAfSAY+BqZblpVxHu3cBDwGdAXCgTTgO2COZVkrqrrfIiIiIrXZ2qS1PL3+aTIKSn7d8rX7EtkwkuvDr+f68Ovp1KAT3rYzM0KuQ1so+NfPyU+3kZfuTV5uOIUpWUABkFjqc2zBwWeCpeDg8+pjvqOIsf/YzN7ULAB87Dbu6tviPEcqUlKtC5qMMa2BeKAhsBT4HrgeeAgYYoy50bKsE5Vo50FgPpAD/AdIApoAvwaGGmOetiwrpnpGISIiIlJ7FBYVMnvrbN7Z/Y4nzWAY3WE0g5oP4roG1+Fj9wGgKDuHgq07yNq9m/xdu8nfvZuC/Qlg1TurxawyP8crLIzQ395JvTFjsP/kuJHKKHJZPPT+Njb9cOZhqOd/fR0Rof7n3ZbI2Wpd0IQ70GkITLYsa+7pRGPMy8AUIAYovUn/WYwx3sDzQD7Qw7KsvWfl/QXYBjxljHnJsqyCqh+CiIiISO1w6NQhHot7jD3pezxpDf0b8ny/5+kR0I78PXvIWv4u+bt3k79rF4WHDrm3ED8Xux2/du3wj4zEv1s3/LtF4h0RgTEXtlmDZVk8/fF3rNx15oD7J3/entt6NLmg9kTOVquCpuJZpmjc87iv/ST7WWAcMMYY84hlWTkVNFUPCAG+PTtgArAsa48xZh9wHVAH97yxiIiIyFVn2YFlzNw4k1znmWeNoppE8WzE/WT/8Xn27fi20m35BDnxa98Wv6hf49elC/6dO2MLCKiyvs7+PKHEmUxj+7Vk3M2tq6x9ubrVqqAJGFB8XWVZluvsDMuysowxG3AHVX2A1RW0kwYcA641xrS1LCvhdIYx5lqgLbC9Msv8RERERK40lmUxd9tc/r7z7540b5s3D/d4mN+2+DWJt42k8Icfyq5st+PbqhV+nTrhl7MBP9cefEMd2CM6wriPwcunyvv7zsZDvLra83WOEd0ieGKodq2VqlPbgqZ2xdd95eQn4A6arqWCoMmyLMsYMwF4F9hijPkPcBSIAEYAu4A7K9MhY0x5e4q3r0x9ERERkZrE4XIwPX46Sw8s9aQ1D27Oize/SMf6HUl+dtqZgKl4iZ1fp474deyIX6dO+F57LTY/P9j+T/h4vrucscGwudUSMP1vZzLPLP3Ocx91bRgvjuyCTWcySRWqbUHT6b0mM8vJP50eeq6GLMv6yBhzFHgP+P1ZWanAW8DBC+2kiIiISG2U68jl0bhHWXdknSft5iY389eb/0qAdwBZq1dz8oMPPHmNn3uO0Nt+Xbqh7DRY8cSZ+z7jIeKij8pxN13gZMfhk2w9lMHWHzNYv/+45xGqrk1DmT+6O952W5V8lshptS1oqjLGmN8BfweWADOAQ0BzYCowD4gC7jhXO+UdllU8A9W9qvorIiIiUp0y8jOYsHoCO4/v9KSNaDOCZ254Bi+bF460NJKfetqTFzRkCCG/HlF2Y5/+CfJPut+HNocBT15wvyzL4ovv0/ji+zS2/niSvSmncJWxz0SrsEDeuruXzmOSalHb/qk6PZNU3ulmp9NPVtRI8XNLi4BvgTFnPR/1vTFmDO5lgLcbY/pblrXm4rosIiIiUrMlZSXx4OcPkngq0ZM29rqxTOo2CWMMlstF8uNPUHTS/RXLKzycxtOeLb3TXZEDNi+CXf85k3brq+ATeEH9ysgp5IklO1mxK6XCch0bB/PG73tQL7Dql/+JQO0Lmk7vdHdtOflti6/lPfN0WjTgDcSVsaGEyxizFuhR/FpzYV0VERERuXwcLgfZhdlkF2aT5cgix5FDkVWEy+XCaTlxWS6KrCJyHbm8vOVljucdB9znLz3Z+0nubH/m8e70t98mJz7efWMM17zwAvbQs56GcOTD9ndhw6tw8swOdkSOhtYDuBDx+4/z8Ic7SDmVXyLdGGjXKIjuzevSo1ldujevS4v6ARe8VblIZdS2oOnL4mu0McZ2dsBjjAkCbgRygY3naMe3+BpWTv7p9MIL7aiIiIjIpbQuaR1/+/ZvHMk+QnZhNvlF+eeu9BM+Nh9euPkFbml+iyct//vvOTbrZc99/fvvI7BPb/dNQZZ7Zil+HuSklWysbkuInnnefSh0upi1ai9vrDtY4rin3/Rsyq1dr6Fr0xCC/LzPu12Ri1GrgibLsg4YY1bhnimaAMw9K3s6EAj87ewzmowx7Yvrfn9W2dNPN44sPsD227PKRwIjAQv4oloGIiIiIlKFFu9ZzIvfvIir5AKa8xLkHcSrA1+lV3gvT5orP58jjz6K5XAA4NepE2GTJoGzENa/DBvnQ/5P9ucKqA99HoReY8H/nHtzlbA/LZuH3t/GrqOnPGn1An148bYuDOrY6ILHJnKxalXQVGw8EA/MMcb8DNgD9MZ9htM+4KmflD99fLVnztayrK+NMW8B9wDfFG85fghoAQwHfIDZlmXtqsZxyE8kJibSsmVL7rrrLmJjYy+ojTVr1jBgwACeffZZpk2bVqX9O60q+ikiIlIVnC4nL37zIu99/16pPJuxUce7jvvl47562bywGRt2Yy9xDQsIY3SH0bQMaYnlclF04gSOlFQy/vlPCvcfAMD4+3PNX/+K8faG/zwA375f8gODroEbJ0P331/QM0wffnOYZz75jnzHmcCvX9sGzLq9Kw2D/c67PZGqVOuCpuLZpp7Ac8AQ4OdAMvAqMN2yrIxKNnUfsBa4GxgMBAGngPXA3y3Ler/8qiIiIiKXV44jh8fiHiuxPXiXsC785aa/EOYfhr+X/zmf87Esi6yVKzn1yUqcKU+SkJaKM+0YOJ2lyjZ64nF8W7WEzW+VDJjqtYKbpkCX34CXb6l6lfHl92n86d+ehT/42G08PrQ9d/dtofOWpEaodUETgGVZh3HPElWmbJn/plmWZQGxxS8RERGRWiMlJ4WJqyeyN2OvJ21wi8HMvHEmfl6Vm5WxCgtJmTGTkx99dM6ydQb9jNDbb4ej29zbiZ/WdRT8ai7YL/wr5fHsAh771w7P/bWN6vDqnd3o0Dj4gtsUqWq1MmgSERERuVrtPrGbiasncizvmCdt7HVjmdhtIjZTuUNdnceOkTT5IfK2bSsz3x4Sgld4OF6NGuLbti0NHhyPyT8JH94FRcX7ZDXqDL+YdVEBk2VZ/Olf33I8291mWJAv74+7QVuHS42j45KlRtu3bx+PP/44PXv2JCwsDF9fX5o3b864ceNISkqqsO5XX33FoEGDCAkJISgoiMGDB7N58+YyyzqdTubPn0+fPn0IDg4mICCAbt26MW/ePFyuC3+oVkREpKrkO/NZuHMhd6+42xMweRkvnuv7HJO7T650wJS38zt+GHl7iYAp+Je/pNnb/6D1yhW0276NazdtpNXSj2n2xhs0euwx7IEB8PF4OHnIXcEnCO54G3wCLmpM7276kS++P7Pr3ku3d1XAJDWSZpqkRluyZAkLFixgwIAB9O3bFx8fH3bt2sWbb77JsmXL2Lx5MxEREaXqbdq0ieeff55BgwYxYcIE9u/fz5IlS1i7di2rVq2iX79+nrIOh4Nbb72VlStX0q5dO0aNGoWfnx9ffvklkyZNYtOmTbzzzjuXctgiIiIeRa4iPjnwCa9tf43U3FRPepB3EK8MeIXejXtXuq3MTz4heeozWAUF7gSbjYaPPEK9e++p+Pmn+Dmw939n7oe/BvVbn+9QStiflkXMf3d77u+5sQVR15Z3GozI5aWgSWq0MWPGMGXKFHx9Sz5YumrVKoYOHcrMmTN5/fXXS9VbsWIFc+fOZeLEiZ60pUuXMnz4cO6991727t2Lzeb+RS4mJoaVK1cyceJEZs+ejd1uB6CoqIhx48axaNEiRo4cybBhw6pxpCIiIiVZlsW6I+t4Zcsr7D+5v0Rey5CWzO4/m1ahrSrXltNJ2suvkL5okSfNFhxMxKxZ1Ol3U8WVEzfA59PP3PeZAB0v7v+JhU4XD72/3bNTXrtGQfx5SPuLalOkOiloquH2tO9wubtQaR2+33PuQueprFkkgOjoaDp16sTKlSvLzG/Tpg3jx48vkTZs2DCioqKIi4tj3bp1REVF4XK5mDt3LuHh4bzyyiuegAnAbrcza9Ys3nrrLRYvXqygSURELpnvjn/Hy1te5puUb0qk1/erz/jI8YxoOwJvW+kDXl0FBRQmJlJ44AAFBw5ScPAAhQcOUpiYiFVY6Cnn07o1TV+bh0+LFhV3JCsV/nUPWEXu+6a94ZbpFdephFmf7fWcxeRjtzH7zkj8vO3nqCVy+ShokhrNsiwWL15MbGwsO3bsICMjg6KiIk++j0/Z65779evnmUk6W//+/YmLi2Pbtm1ERUWxb98+0tPTadu2LTNnln1qub+/P3v2VH1AKCIicjbLsticupk3d75J/NH4Enn+Xv7c0+ke7up0FwHeZT9HlPH+B6S9+CKu3NwKP6fOwIFc8+L/Ya9Tp+IO5WfCv++D7OIlgQH1YeRbYC8drJ2Prw6c4I21Bz33fxrSTjvlSY2noElqtIcffpjZs2fTuHFjBg8eTEREBP7+/gDExsZy6NChMus1alT2qeHh4eEAZGa6Ty8/ceIEAAkJCUyfXv4vZ9nZ2Rc8BhERkYpYlsXapLW8ufNNth/bXiLPbuyMvHYkD3R9gAb+DcptI+P990mZVvEMkFfDhtQdPZr6Y+/HlPHDokeRw30W05rnIS+9ONHAbW9CSNkrQCorM9fBwx9ux7Lc9ze1acC9N7a8qDZFLgUFTTVcdSx5qy3S0tKYM2cOnTt3Jj4+nqCgoBL5771X+vTz01JTU8tMT0lJASAkJKTEdcSIESxZsqQqui0iIlJCQVEBjiIHLlxYloXLcnlep2eW9mXsK1HHZmwMbj6Y8ZHjaRHSosL2T/57SYmAySssDL+OHfFp3Rrf1q3wadUK31atsBf/P69clgXf/xc+ewbSD5TMG/AUtB5Yqkq+o4iM3ELScwrJyHGQnltIRk7xfW4hGbkOTuYWv89xcCKnwPMcU2iAN7Pu6KrDa6VWUNAkNdbBgwdxuVxER0eXCpiSkpI4ePBgOTVh/fr1uFyuUkv01qxZA0C3bt0AaN++PaGhoWzcuBGHw4G398UtORAREclx5LAldQtfHf2KTSmbSMhIqHRdL5sXw1oP497O99IsuNk5y2cu/y/JTz/tuffr0oVmixaee+ndTx3ZAiufhh9LLgssCIwgrtkEvsnqz4kPt5NeHBCdfuUWFpXT4Lm98OsuNAqu3EG8IpebgiapsVoUP5y6fv16ioqKPJs0ZGdnM3bsWJxOZ7l1ExISmD9/fqnd8+Li4mjTpo1ny3EvLy8mTZrEjBkzmDx5Mi+//LJn+d9pycnJZGRk0LFjxyoeoYiIXCl2HtvJ+iPr2Zi8kW+PfYvTKv//UWXx9/Ln9mtv5/cdf0+jwLKXmP/UqVWrOPrnP3N6rZtvhw40+/sb5QdMLhdkHYWMRPcr/Yfi60E4urVkWd8QEto/wC83daDghA+QeF7jqYivl41xN7diSOfwKmtTpLopaJIaKzw8nDvvvJP333+fyMhIoqOjyczM5LPPPsPPz4/IyEi2b99eZt0hQ4bwyCOP8Omnn9K1a1fPOU1+fn4sWrSoxAzU1KlT2bFjBwsWLGDZsmUMHDiQiIgI0tLSSEhIYMOGDcTExChoEhGRUpwuJ9Pip7H0wNJyy9iNHT8vP2zYMMZgMzZsxobBUMenDj9v+XNGtR9FqF9opT83a80ajjzyKBRvjuTbto17hunsJXiWBanfwf7VcGA1HP4anPkVN2zzgl73k3fDI9y94DsKyKuwuLfdUDfAh3qBPp5raIA3dQN8qBvoQ90A7+Kr+31ogA9Bvl5akie1joImqdEWLlxIq1at+OCDD3jttdcICwvjV7/6Fc899xy33XZbufV69+7NM888w9SpU5k3bx6WZTFw4EBiYmLo1atXibLe3t58/PHHvPvuu8TGxrJ8+XKys7MJCwujZcuWzJgxg9GjR1f3UEVEpJYpKCrgsbjH+PLwl6Xy2tVtR5/GfehzTR+6N+xe7o53FyInPp4jkx8ChwMAnxYtaLZoEV5160JuOhz4wv3avxqyUyrfcPtfwi3PQf3WzFv5PUdOugOmugHejLu5NfUDi4OjQB/3+zruAKjCQ3FFrhDGOr19iVQpY8yW7t27d9+yZUuF5U5vZd2hQ+05j0nOj/7GIiJXnhxHDg998RCbUjZ50vo37c/QFkPp3bg39f3rV8vn5n37LYd+fxdWvnvGyLtJE5q/+w7e9UPhixmwaQG4KlgaGNAA6rZwv+q1PPO+flsIci8LPHgsm8Gz1+Iocn9H/L/bruM3vc79fJVITdOjRw+2bt261bKsHhfblmaaRERERM5DZkEm4z8fz7fHv/Wk3dPpHqb0mFKtsy6uggKO/vlxT8DkFR5Os9hYvF0p8MYwOPZ96Ur+dd273rX+mfsa3LjCz7Asi2c/2eUJmLo1C+X2Hk2rfCwitY2CJhEREZFKOpZ7jHGfjWP/yf2etIe6P8R9ne+r9mVqx1+bT+EPPwBgCwig2cK/43PgnxD3QsnZpcaR0O7n0GYQXBMJNnulP+N/O1NYl3Dc/RkGZgzrrOePRFDQJCIiIlIpSVlJjPtsHIezDnvSnur9FHe2v7PaPztv1y5OLFzouW/44F34fvEHOLL5TCHvABgcAz3ugQsI4LILnMxYvttzP6ZPczpHnONsJ5GrhIImERERkZ/IdeRy6NQhDmYe5IfMH/gh8we+SfmGjIIMwL0j3owbZ3Br61urvS+Ww0Hy01M9O+UFtLuG0JS/QNFZO9s17Q3DX4f6rS/4c+auTiDllHvpX4M6vjwc3e6i+i1yJVHQJCIiIleFgqICDpw8QEJGAknZSeQ6cslz5pHrzCXPUXx15nEs9xhHc46W246PzYeXol5iQLMB1d9py+LE7BgKijcVMnaLxm22YYoDKGzeMOBJuPGh81qG91P/z959h0dVpQ8c/56ZzKRNElJID4QAkV5EAWmKSFGwY0FU1LVgL6ztZ0XXtri69u7auyIqCKhIF0FAOoQWIL33NuX8/pgwIZCQkEwyCbyf55lncs8599z3ss8aXu6570nKLOa95Xtdx/93Tg+CfGXDdyEOkqRJCCGEEMcdq8PKytSVbMvbxs78news2Mm+on04tKNZ84b4hDBr1CwGRw1ufpD5+yB5GditoO3OfZW0w/lx2CFrG5VrfiVntgKcy+069i3CHFCdMIX3hovegsi+zQpDa80j32/G5nAWfxgcH8KFA2OaNacQxxtJmoRoQVLSXwghWl92WTa3/HYL2/PqqCbXSEZlJC4gji5BXVyfhKAEEoMT8fHyaX6QRWnw9ulQnl/vEO2A9MVhaIcZAJ+QKkISSyF6IPQ6H4beAl7ezQ7l+79T+XNvHgBGg+KJC3rL3ktCHEaSJg9TSqG1xuFwYDAYPB2OcLODSZP88hFCiNaxt3Av03+ZXufyOoUiLiCO7sHdSQhKINAciK+XL34mP+e3lx++Jl+CzEHEBcRhMrbg8rSFjxw1YQLI3+lPea4zYcKoiHrwTtToKWDp2KRLFpRVsTOrhKTMYnZmOr+TMkvIKal0jbl2WDw9IgObNL8QxzNJmjzM29ubiooKSktLCQgI8HQ4ws1KS0sB5//OQgghWtbfWX4kwAUAACAASURBVH9z26LbKKwsBJxPiyYnTqZXaC8SgxNJCErAz+Tn4SiB5BWw+Zua436Xg8nX+U6SMoAyUJVbQdZ3iwBnKfGwm2/F59xbAcgqqiCjqAKr3UGVTWO1O7A5nD9X2uzkllSRWVxBZmEFmUWVZBZVkFlUQWmV/ahhRQR6c9fYxJa6ayHaNUmaPCwgIICKigoyMjIA8Pf3RyklTybaMa01WmtKS0td/7tKQiyEEC1r8YHF3LvkXirszupvvl6+/Of0/zAydqSHIzuM3Qbz7q057n2h872kQ2itSb/2OnSVM2HyTkwk9IbrWbkrh3eX72XR9iy3huRjMtAjMpCHJvbE4i1/NRSiLvL/DA8LCQmhtLSUsrIyUlJSPB2OaAF+fn6EhIR4OgwhhDhufZv0LU+sesJV5CHEJ4TXxrxGn7A+Ho6sDn+9D1lbnD+b/GDcv44YUvzrr5StWuU8MBjYduUd3PrmaralFzXr0t5eBhI6WkiMsJAYEUD3cAsnRQYQG+yHUTawFeKoJGnyMIPBQFxcHHl5eRQXF1NZWSnFA44DSim8vb0JCAggJCRE3lcTQogWoLXmzQ1v8vqG111tsZZY3hr7Fp0CO3kwsnqU5sDvhyRJI2dAUOwRwwq++NL184LEUfx3XQVQ4WpTCnpEBuJrMuBlNGA2GjAZFSajAZPRQIi/mYhAb8IDfYgM9CEi0IeIQG+CfE2ykkWIJpKkqQ0wGAyEhYURFhbm6VCEEEKIdsFqt/LkqieZvWu2q61nSE9eP+t1wnzb6O/T356ACuf7VgR3gWG31+rOL61i8ZINnLRiJQpwoPgsbpir38dk4JJBcVw7PJ6EjpZWDFwIIUmTEEIIIdqVgooC7l58N39l/uVqGxY9jBfOeAF/k78HIzuK1HWw7qOa4wnPgpc3eaVVLNiSwbxN6fyxO5cpm3+mB84VJ+vDu5PlH0J4gDfThsVzxeBOBPubPXQDQpzYJGkSQgghRLuxt3Avt/12G/uL97vazut6Ho+f9njLlghvDocDfr4PqpMhuo/D3n08j32/ic9XH8BevamswWFn3P7VrtO2DRrDC5f2Z1K/aMxessxbCE+SpEkIIYQQ7cKq9FXcs/geiquKXW13nnwn/+jzj7b9rs6GzyFljfNnoxkmPMvLv+3kk1X7aw07NXM7YRXOYg8qOIR/PTcdZZYnS0K0BZI0CSGEEKLN+ybpG55a9RQ27SzD7WP04ZmRz3BW57M8HFkDKgrh18dqjk+7jWV5gby8qOaJUv/YIM4bEMOoD36o3pUJQi6+UBImIdoQSZqEEEII4XFJ+UlsztmMzWHDru3YHXbnt7azp2APc3bPcY0N9w3n5TEv0zu0twcjPgqtIW8P7F0Cm76B0mxne0A0mf1v464313GwUO5pCaF8cv0QHNlZ7Fq53DVFh8mTPRC4EKI+kjQJIYQQwqPWZKzhxoU3up4iHU3PkJ68cuYrRPhHtEJkx6Ak25kk7VkMe5ZA4f4jhtjPeoLbvt1BbmkVAB0DvHlpygCMBkX+d985330C/AYPxhwf34rBCyEaIkmTEEIIITymoKKAB5Y90KiE6cy4M3lm5DP4mfxaIbJG0hqWPQ+LnwXHUe5h4FXMSu3DmuQ9ABgUvHz5QMIDfNAOBwXffOsa2uGSS1o6aiHEMZKkSQghhBAeobXmsZWPkVWWBUAH7w6c1fksjMqIURkxKIPz22Cgd2hvxnYei0G1oSpyDjvMuxf+eu/IPrMF4kdAwhnQ5XR+ywvlzQ9rSqTPGHcSp3UNBaB05R9YU1MBMAYFETBubCsEL4Q4FpI0CSGEEMIjvk76mkUHFrmOnxz+JGfEneG5gI6FtQK+uwG2/VDTFtEXek5yJkoxg6C6BHpKfhn3fFXzvtLpiR25+fSuruOCr75y/Rx4/nkYvL1bOnohxDGSpEkIIYQQrW53wW7+vebfruMpPaa0n4SpohC+mArJy2ra+kyGC94Ar9oV76psDm79bD2F5VYAooJ8ePGyARgMzhLptpwcihfVJI7BsjRPiDZJkiYhhBBCtKpKeyX3Lr2XSnslAN06dGPGKTM8HFUjFWfCpxdDxqaatiE3w/inwVB76WBRhZWHZ29mw4ECALwMilevOJkQ/5rEqvD778HmfBfKd+BAvLt3b/l7EEIcM0mahBBCCNGqXlz7IjvzdwLgbfRm1qhZeBvbwZK0vD3w8YWQn1zTNuYxGHE3HLa57vzNGTz2w2YyiypdbQ+c3YNBnYNdx1prCr7+xnUsBSCEaLskaRJCCCFEq1maspRPt33qOr73lHvpFtzNgxE1wGGHA6thx1z4+zMoy3W2KyOc9zIMvLLW8IzCCh6ds5mFWzNrtV98ciz/GNGlVlvZ6jVU7dsHgMFiIXDC+Ja7DyFEs0jSJIQQQohWkV2WzcPLH3Ydj44bzaUnXerBiOpRVQa7F8GOeZA0vyZROsjLBy75AE4629XkcGg+/XMfz83fQUllTenxMIs3M8/rzTl9I1GHPY0q+Ppr18+B507C4NeGSqkLIWqRpEkIIYQQLa7SXsmDyx4kvzIfgHDfcGYOm3lEIuFRWdthyXPOZMlWUfcYSwRc8iF0Pg1wFnpYkpTNG4t3sW5/Qa2hUwbH8cCEngT5mWq1l61fT97771P862+uNikAIUTbJkmTEEIIIVpUUVURdyy6g7WZawFQKJ4e+TTBPsENnNlK8vfB4mdg45egHUf2WyKcT5VOmghdRqG9vFm3L4/Z61P5aWM6BWXWWsMTOvrzzIV9GZIQ6mrTDgcli5eQ+957lK9dW2u878CB+PTq1SK3JoRwD0mahBBCCNFissqymP7rdFfhB4BbBtzCkKghHoyqWkkWLJ0Ff/0PHLUTn6qQkyiJH0dx57GUhPXDoQ1U2uws+X0f3/+dyoG88lrjDQ47gdrK9UNjmTYoCrOjiIrt2ejKSiqSksj73wdU7dlzRAj+p48i6sknW/Q2hRDNJ0mTEEIIIVpEcmEy03+dTmpJqqttxqAZXNPnGs8FBc59lla8jF71OspaVqvrd3t/nrddypa0LpAGrCwBVtY7VUBVKTfu/Z0zdv+BV1Ul/AgpDV3fZCJo4kRCrrsWn8TE5t6NEKIVSNIkhBBCCLfbnLOZW369xfUOk5fy4onhT3Bu13M9GpcuSqP49bMIrEjl0Lep1jgS+bf1ctboHo2aJ9gE95T8zaBl36NKShp1jsHfnw6XXUbI1VdhioxsQvRCCE+RpEkIIYQQbrUybSV3/X4X5TbnEjYfow8vnPECI2NHejawyhKy37qA8IqaJ19bHZ2ZZbuU3x0DAIVBQWSgDyYvA0aDwqiU87v6E9fBl8vKkoj66n1sKbWfKRn8/FC+vihvMwazN8rb+TH4+WEZMZwOl12GMSCglW9aCOEOkjQJIYQQwi3sDjvfJH3Ds2uexeZwlt0O8g7itTGv0b9jfw8HZyP13SnElO4AwKYNPGS/ka3h59A7JpgnowPpFR1Ez6gA/MxH/vVIa035+r/JmjWL8vXrsR3SZ+rciYh778UyZkzbqgYohHAbSZqEEEII0Wwbszfy9J9PsyV3i6stwi+Ct8e+TUKHBA9GBmjNgc/vIC57qavpg5A7mXnLI/iYjPWe5igro3TVKkqWLKVk6VJs6em1+o1BQYTdegvBl1+OMptbLHwhhOdJ0iSEEEKIJsspz+G/a//LnN1zarV3DerKm2PfJNLf8+/upPz8PHG7PnUdf+1zCZdPf7hWwqQdDux5eVjT0ylfv56SJUspW70abbUeOaHJRMjUqYTdPB1jUFBr3IIQwsMkaRJCCCHEMbM6rHyx/Qte//t1Sqw1hRDMBjPX9b2O6/pch6+XrwcjdMr482uiVz/lOl7kGMZpvS6i7PVXKcpIx5qWjjUjA1tGRt0J0iEMFgsBY84k7NZbMXfq1NKhCyHaEEmahBBCCHFMVqauZNZfs9hVsKtW+5lxZ3LvqfcSGxDrochqy9uxgqB5t1BVYKQk3YfM9GCi8g5Q/NWMRs/h3b07ltNHYTn9dHwHDECZTC0YsRCirZKkSQghhBCNsiNvBy+sfYGVabX3LYoPjOeBwQ8wPGa4hyKrpjVUFEBRGvl/LKHwzRfJyQjGXuFchmfAftTTDUFBmCIjMXfqhP/w4VhGjcQUHd0akQsh2jhJmoQQQghxVJmlmbz696vM2TUHjXa1+3n5Mb3/dK7seSUmoweewBSmwtJZkLsLitKgOB17aTnZGwPJ3+VHfX/N8e7VE8uwYZjj4/GKjMIUHYUpIgKDv3/rxi+EaDckaRJCCCFEnUqtpby/+X0+2vIRFfYKV7tBGbiw24XcOuBWOvp19Exwdht8cQWk/w04HzIV7fchc32468mSa6i/H8Gjz8QycgT+w4fjFRbmiYiFEO2YJE1CCCHECWxf0T7+TP+TnPIcssuzySnPIbc8l5zyHHLKc7A6ahdHGBkzknsG3UO34G4eirjaypddCVNVsZGMv4IozfSpNaQkyp/iK25g9HXXo4z1lxYXQoiGSNIkhBBCnKAOFB3gojkXUeWoanBsj5AezDhlBkOjhrZCZEdXmb4V48JnsBaYKEnzIWtbIAZHzbLBfN8gMqfdwtjpU7D4SOEGIUTzSdIkhBBCnKDm7Z3XYMIUFxDH9P7TmZQwCYMytFJkNbTWVGzeTMmGjSSv20r+9iRi07egymuW2Bmq37NyKEXe2PM55YkH8O0g+ycJIdxHkiYhhBDiBLUsdZnr50kJk+jXsR9hvmHOj08Yob6h+Jn8WjWmCqud1IJy0vakUDn3J4IWz8eSlQqApfpT53ldTyLxuafo3ad3q8UqhDhxSNIkhBBCnIDyK/LZmL0RcBZ2uP/U++ng08EjsZRX2Xlq3lYWbkyjy+4NjNu3miGZ2zBqR/0nGTS24AC8+gwmatyZBF1wgby3JIRoMZI0CSGEECeglWkrXeXD+4X180jC5Cgvp2xHEu9/uJDA7dt5IX0zoRVFR4wr8/JmdWRPRoRuIz4gHXOgFVPXnhimLwZPlDoXQpxwJGkSQgghTkCHLs0bGTuyVa5py86mYPb3VG7fRsX2HVQlJ4PDwdh6xmd0PonsEeMxjB7D+aXziP5jnrPD4AUXvSEJkxCi1UjSJIQQQpxg7A47K1JXuI5HxrR80lS1fz/Jl1yKvbDwqOOMoaF0uPACgi66mJ4JXZyNeXvhjedqBo24B6L6tWC0QghRmyRNQgghxAlmc+5mCioLAOjo25EeIT1a9HqOykpS7rrriITJgSLVEsaeoBhMiYlcOnUcliGDUaZDniAVZ8IPt4O1zHkc3gtG3dui8QohxOEkaRJCCCFOMMtSapbmjYgZgVKqRa+X+cwzVG7dBoAymbDddDsPbnOQ5BtOpZeZgZ068Pn1Q/Apz4DdCyF9A6T97fwuyaiZSBnh/NfAy9yi8QohxOEkaRJCCCFOMK35PlPhjz9R8MWXrmOfG65hVl4R/TqkMFEtpad3DsN1MV7P74eq4qNPNux2iDm5ReMVQoi6tMukSSkVCzwBTABCgXTge2Cm1jr/GOc6GfgnMAroCBQA24H3tNYfuTNuIYQQwtNyynPYmrsVAC/lxdCooS12rco9e0h/7DHXcUBXAzG5M3lNAQdX4NmB7KNMYvKDyL6QcIYsyxNCeEy7S5qUUl2BlUA4MAdngjMYuBOYoJQarrXObeRctwEvAfnAXCAVCAH6AOcAkjQJIYQ4rixPXe76eWDEQALMAS1yHUdJCanTr0eXOd9FMgfYiBqQzVFXAnoHOQs8RPWv+YR2A4PsvySE8Kx2lzQBr+NMmO7QWr9ysFEp9QJwN/AUML2hSZRS44CXgV+AyVrr4sP6pY6pEEKI486h7zO1SNW8/GT0xq/I+M8HVO537gOljJqY4XkYTZoi7cc23Ymo+B506tobgrtAcDyEdAG/UI6eVQkhhGe0q6Sp+inTOCAZeO2w7seAG4GrlFIztNalDUw3CygHrjg8YQLQWlubH7EQQgjRdlgdVv5I+8N17LakKTsJts2BbT9C+gYK9/hSmBTs6o4cVMCGwG58VnUmvzCEGef0Z8iILu65thBCtIJ2lTQBo6u/F2qtHYd2aK2LlVIrcCZVQ4Hf6ptEKdUH6IfzPag8pdRoYBCggb+B3w+fXwghhGjvNmRtoNjq/HfCKP8ounbo2rSJqkohewfs+Bm2/QDZ29EOsJYaKc/zJWNtB9fQzM7B3BZ9F2m6M1NO68QvI7sQ08HXHbcjhBCtpr0lTSdVfyfV078TZ9KUyFGSJuDU6u8sYDHOIhCH2qSUukhrvauhgJRSa+vpatlNL4QQQohjtDR1qevnkTEjGy41nr0DDqyGgn2Qn+z66OJsSjK8qcgzUVVkorKwI1XFXmhH7fn2BUbw6JB/csWoRKadFk+wv5QKF0K0T+0taQqq/q5vO/GD7R3q6T8ovPr7HziLP0wElgMRwKPAlcBcpVRfrXVV08MVQggh2o5a7zM1VGp816/wycV1dmVvCiB329ELSFR4mcm79wkWnz8MP3N7++uGEELUdqL+V8xQ/W0ELtdaH1zgXaSUuhrnU6JTgIuBz482kdZ6UF3t1U+gZDMJIYQQbUJ6STq7CpwLKEwGE4MjBx/9hFVv1Nlsr1Lk7fSvsy/HJ5C8sBjC+vRgwB03MDBB3lsSQhwf2lvSdPBJUlA9/QfbCxqY52B/xiEJEwBaa62UmoMzaRpMA0mTEEII0R4cuqHtqZGn4mfyq39waQ7s/t11OMdyGX+VhLCzKpTEpH1MsTlXwKf5h/Jl4hj2B0TQ5eReXDW2D+clhDa87E8IIdqZ9pY07aj+Tqynv3v1d33vPB0+T33J1cENcuVNVSGEEMeFQ5OmUbGHv8p7mK3fg7YDsNbRnTtzzgdAaQfX7/3BNWxO4mhCL7mY+0Z0oVt4y+z3JIQQbUF7S5oO/rPXOKWU4dAKd0qpAGA4UAasamCeVUApEK+U8q+jPHmf6u+9bohZCCGE8KgqexV/pv/pOm6o1HjJX19iqf55jn2Yq/2Mgl3ElOYA4PDz57FXZhAa1tBrxEII0f4ZGh7SdmitdwMLgXjg1sO6ZwL+wMeHJkFKqR5KqVqV7LTWZcB7gA/wL3XIOgKlVF/gGsAGfOP+uxBCCCFa11+Zf1FuKwegc2BnOgV2qndscVYylszVANi1YlfYWbwx9WSW3z+amfatrnFhl14iCZMQ4oTR3p40AdwCrAReVkqNAbYBQ3Du4ZQEPHTY+G3V34cvsH4EZ6nxu4DTqvd4igAuwplM3VWdpAkhhBDtWq2qeUd5yqS15tevXufC6uM/6cszV4+hc6g/lXv2smf5cmeHUgRPvaIFIxZCiLalSUmTUmpPE6+ntdZN3EnPNcFupdQpwBPABOAcIB14CZiptc4/2vmHzFOklBoJPAhcAtwGlOMsPf681nphc+IUQgghPO1A0QFWpK1gfvJ8V9vRkqbPVu+nf9YC1zoUv0GX0TnUWSkv/7PPXOMsZ5yBOS6uZYIWQog2qKlPmgyAbsJ5bimno7U+AFzbyLH1XlNrXYLzydThT6eEEEKIdqfUWsrq9NWsSFvByrSVHCg+UKvf18uXQZF17pTBtvQiPvrxVxZ4JQNgUyYGjL0SAHtJCYXffecaG3zl1Ja5ASGEaKOalDRprePdHIcQQgghGqGoqoh9hftILUklpSSFlOIUUkpSSC1OJb00HXt11bu6TOs9DW+j9xHtpZU2bvtsHeey3NWmEseDr/OdpcLZ3+MoKwPA3LUr/sOGHTGHEEIcz9rjO01CCCHECaXCVsGi/YuYs3sOq9JX4agpHntUvl6+DI4czLDoYYyIGVFvAYhH52xhd3YJ55lXutqM/SYDoB0O8j/91NUePPUK2YdJCHHCaZGkSSkVDFiql9EJIYQQ4hhprfk7+2/m7JrDguQFlFhLGnXeScEnMSxmGMOjhzMwfCBmo/mo479dm8K361Loo/aSYMhwNpotkDgBgNIVK6hKTgbAYLHQ4fzzm3xPQgjRXrktaVJKWXCW/Z4KdMT5zpNXdd8Q4DHgYa31OnddUwghhDje5FXk8W3St8zZPYd9RfuO6FcougV3I84SR0xADDGWGOIC4oixxBBticbXq3H7spdV2Xh76R7eWOwsFHue8Y+azh4TweScJ++TT1zNHS6+CIO/fzPuTggh2ie3JE1KqSCcVed6A38DOUDPQ4ZsAkYCUwBJmoQQQojD7MzfySfbPuGn3T9R5ag6or9zYGfO63oe5yacS5QlqsnXcTg03/+dyr/n7yCjqAIAhYMLTKtqSjz1vQSAquRkSpcsdbYpRfAVUmZcCHFicteTpodwJkzXaK0/Uko9Bjx6sFNrXaaUWgKMcdP1hBBCiHbPoR0sT13Ox1s/ZlX6qiP6LSYL4+PHc0G3C+jfsX+z3yVak5zHkz9tZWNKYa32yWEphJfkOg98QyDhDADyDi0zPmoU5s6dm3V9IYRor9yVNF0ELNBaf3SUMfuAU910PSGEEKLdqrBV8MPuH/h468ckFyUf0d87tDdTe05lbOex+Hj5NPt6B/LKeObnbczblFGrPczizb3jE7kk4xdYe/DiF4DRhL2klMLvZrvGBl95ZbPjEEKI9spdSVMs8G0DY0qAIDddTwghhGh3iquK+XLHl3yy9RNyK3Jr9RmUgTGdxnBVr6sY0HGAWyrU2ewO/rcimf/8soMKa03FPbOXgRtGduHmM7ph8dLw/Jyak/pMpnLnTtIffgRHibP4hDk+Hv/hUmZcCHHiclfSVAyENzCmC853nYQQQogTSk55Dh9v/Zivdnx1RBU8i8nCxd0vZkrPKcRYYtx2zS1phTzw7SY2pdZeindu/2jun3ASscF+zoakhVCeB4DDP5rcOWvJefddsFpd54Rcey3KYHBbbEII0d64K2laA0xSSgVorYsP71RKRQHnAD+56XpCCCFEm3eg+AAfbP6A73d9f0Rxhwi/CKb1nsZF3S/C3+S+inQVVjsv/baTt5fuwe7QrvYekQE8dWFfBnUOrn3C5m8AKMsxkf57AFWZb9T0mUyE3TydDpde4rb4hBCiPXJX0vQS8DMwTyl146EdSqmewDuAD/Cym64nhBBCtFnJhcm8s+kd5u6Zi13ba/V1CerCdX2uY2KXiZiMJrded+XuHP7vu00k55a52sxeBu4c050bRyVgMh72tKg4A/vGuWSvDSJ/px/OhSNOvv37E/WvJ/Hu3t2tMQohRHvklqRJa71AKTUT515MmwErgFIqBwgGFHC/1npl/bMIIYQQ7dvugt28vfFt5ifPx6Edtfr6hPbh+r7XM7rTaAzKfUvdMgormL85nZ83Z/Dn3rxafUO6hPDMRX1J6GipfZLdhv7zbYren0XWWn9s5UZXl/LzI/zuuwm+YgrKaEQIIYQbN7fVWs9USi0F7gCGAqE4d3yYB7yotV7krmsJIYQQbcmOvB28vfFtftn3Cxpdq29I5BCu73c9QyKHuKW4Azir4f1cnSit319wRH+Ajxf/d05PLjslDoPhsGvu+4Oyd+8k87dcKvJqV+bzHzWSqMcfxxQd7ZY4hRDieOG2pAlAa/078Ls75xRCCCE8zaEdrM1cS3JRMpmlmWSWZdZ8l2VSai094pzh0cO5qf9NDAwf2KxrW+0OdmQUszm1kE2phazbX8C29KI6xyoF5/SJ4tFzexEReFip8pIsrF/fT9bniyja7weYXV3GDgFEPPQogZMmui2xE0KI44lbkyYhhBDieGJ32Pll3y+8tfEtdhXsatQ5p8eezk39bqJvx75NuqbWmgVbMli+K4dNKYVsyyimyuaod7zRoDgtIZQJfSIZ1zuC8AAfqCqFjM2Qtwfy9+JI20Hu1wvI3WJC2/1c5yovIyHTphF6880YLZZ6ryGEECc6tyZNSql44CpgIM49mQqB9cAnWuu97ryWEEII0VLsDjsLkhfw1sa32FO4p8Hx3kZvRsaM5IZ+N9ArtFezrv3N2hTu/WbjUceYjQZGdA9jQp9IxvaMIFgXwsYv4Jv5kLsLSmo2sS3PNZG6MhhrqbnWHAFjRhH+4COYY2ObFa8QQpwI3JY0KaVmAE8BJpyFHw66AHhYKfWg1voFd11PCCGEcDe7w87PyT/z9sa32VtY+9/6/Lz8OLPTmURboonwiyDSP5IIvwgi/CII8g5yy7I2q93BS7/tPKI9NtiXfrFB9IkJom9MEAPiOhBgUrDrV/jxAUiaDw5brXO0hrwd/mRtCARdE5tPtzgiHn8av1NOaXa8QghxonBL0qSUmgLMAvJxlhVfDGQAkcBonMUhZimlUrXWX7rjmkIIIYS72Bw2ft7rTJaSi5Jr9fmb/LmixxVc3etqOvh0aNE4Zq9PJSW/HIAQfzP/vWwAfWOCCPY3g8MBlYVQmArLXoUNn0NJZt33YzWR/lcEJftqlvUZ/H2JeOABgi6eLBvVCiHEMXLXk6YZOBOmk7XW+w5p3wEsUUp9CKwF/glI0iSEEKJNOJgsvbXxLfYV7avVZzFZuKKnM1kK8g5q2gVKc2HXL1BRCNby6k8Z2Cqqv6sADVrj0A5Ct2fxqsmGwkHvIBPxS6ugLA/K86GiAHT97zYRNxQGTqWsKITUx5/HllGTUPn07UvMiy/IUjwhhGgidyVNvYAPD0uYXLTWe5VSX+N830kIIYTwKJvDxry983hrw1vsL95fqy/AFMDUXlO5sueVTU+WAPYsga+udiY7jWAAxgAc3Bopr/pzNJYI6D8FBl6JDulK7tvvkP3KA2Cv2VA35JprCL/nbpTZfJSJhBBCHI27kqZioKHfCvlA3TVShRBCiBamtWZ3wW5Wpa/i8+2f15ksXdXrKqb2mkqgObB5F1vzHsy7F7S94bHHwhwAvsEQ3R8GTIVuY6lKSaXwszkUzvkBa2qqa6gxKIioZ58hYPRo98YghBAnIHclTQuB8cCDdXUq59ux6cU/bwAAIABJREFU46rHCSGEEC1Oa83+4v2szljN6vTVrMlYQ25F7hHjAszVyVJPNyRLdhsseBBWv13TZomEnpPA5AsmP+e3l2/1tzegWHeggA9W7gMU3iYjM8/vg5+fBfxCnEmSbwj4dgCjyXmZoiKK5s+ncOY0ytetOyIM30GDiHl+FqaoqObdjxBCCMB9SdN9wEql1OfAA4cu01NKdQKeAzpUjxNCCCHcpsJWQUpxCiklKRwoPsCB4gOkFKeQlJ9EZlndhRIAAs2BrmQpwBzQ/EDK8+Hra2HPIXu8Rw2AKZ9DYHS9pzkcmgcWLSXJ4Xzf6Pbh3fA7+aQjxmmtKV+7lvxPP6P411/RVVVHjDEEBhJy9dWETb8J5SVbMQohhLs06b+oSqlFdTQXAJcCFyul9gOZQATQCecK7Y3Ap1Qv2RZCCCEao7CykJTiFNJL08kozXB9H/w5uzy70XMFmgMZHDmYIVFDmJgw0T3JEkDubvjsUuceSQf1ugAueAPMfvWfByzcmkFSZgkA/mYj1w3vUqtfW60UzV9A3ocfUrF585ETGI1YRo0i6PzzsZw5GoO8uySEEG7X1H+GOqOBOROqP4fqD+gmXk8IIcQJJKU4hd/2/8ai/YtYn7Ue3cRfH/4mfwZFDHIlSonBiRiUm8ttJy2E726oXfDhjAfh9Puhgb2btNa8/FtNonXVafHO8uKAvaCA/K++Jv/TT7FlHvnEzLtXTzpccAGBEyfiFRrqnnsRQghRpyYlTVpr2eBBCCGE22it2Vmw05Uobc/b3uhzjcpIlH8UcQFxxAXEERsQ6/q5a4eueBlaaJlaWR4s+D/nfkkHefk4ny71uahRU/y2LYut6c4aSb4mI9eP7IItP5+cV1+j4Lvv0OXltcYrs5mg888jeOpUfHr0cNutCCGEODpZ8CyEEKJVVNmr2FO4h/SSdNJK08gozSCtxPmdWpJaZ5EGAIMykBCUQLQlmki/SKIsUUT4RRDlH0WkfyQR/hGYDKbWvZmtP8DcGVCaVdMWEAWXfwYxJzdqCq01Ly/a6TqeOjgO05Jf2fP0M9hza/9ZGMPCCL5iCsGXX45XSIhbbkEIIUTjSdIkhBCixVgdVlalrWJ+8nx+2/8bpdbSRp1nMpg4Lfo0xnQawxlxZxDi00YShZIsmPdP2DqndnufyXD2c+Af1uipliRlszGlEICYqkIun/MyacuX1hrj3aMHIdOmETjxHHlXSQghPMjtSZNSKhaIAbzr6tdaL62rXQghxPHB7rCzLmsdP+/9mV/2/UJBZeM2d/Xz8mNk7EjO6nQWI2JGYDFbWjjSRqoqg+J02LcSfnnEWSXvIEskTHoRepxzTFM632XaidIOJu79gxu3/4y1qsLV7xURQeSjj2A580xUA+9FCSGEaHluS5qUUuOAF4GGFlkbG+gXQgjRDqUUp/B10tf8tPsnssqz6hwT5R9FQlACUZYoovxrPtGWaML9wlvu/aPGKEyFLd9B1jYoSnMmSkXpUFlY9/iBV8K4p5z7Jx2jBVsyyN6yg1nrv6Z3XnKtvuArptDxnnswWtpI0iiEEMI9SZNSaijwE5ANvArcDiwBdgAjgZ7AD8B6d1xPCCFE22B32FmWuowvd3zJitQVdVa5i/CLYEL8BM7ucja9Qnu1rScnlSWw/SdnMYc9S2hUkdegTnDuf6Fb03bQKCyz8vb/FvDS4pfwtdfstWROSCDqySfwGzSoSfMKIYRoOe76J70HgQrgVK11mlLqduB3rfUTyvnbcSZwD/CQm64nhBDCg3LKc/hu53d8k/QN6aXpR/SH+IQwtvNYzu5yNgPDB7q/zHdzOOyQvAw2fOEs6NDQe1YGk7PIQ2AUxI+AEXeDd9P3d3pu9lpuXvJ+TcLk5UXYjTcQetNNGLzrXNkuhBDCw9yVNJ0G/KC1TjukzQCgtdbAo0qps3EmT5PddE0hhBCtTGvNu5ve5fUNr2Nz2Gr1KRTDYoZxWeJljIwd6dmldvXZ/TvMuxdyd9bRqSDhdOgxCTp0goBICIgGv1AwuCfpW56UTez/Xia2xLkhr8PHh4RPP8G3d2+3zC+EEKJluOs3WhCw/5DjKsD/sDErgCvcdD0hhBCtzGq3MvOPmczZXbtyXAfvDlzY7UIuSbyEuMA4D0XXgOIM555Km789sq9jD+g/BfpeAkExLRZCaaWNn557k2kpNSvVY5+YKQmTEEK0A+5KmrKA4MOOux42xgT4uul6QgghWlFRVRH3/H4Pf2b86WrrGdKTq3pdxbj4cXgb2+iyMocd1rwLi/4FlUU17d5BMOAK6H85RPWHVnjP6p0PFnD5H1/VhHD+hQSdd16LX1cIIUTzuStpSqJ2krQKOFsplai1TlJKRQIXA3WthxBCCNGGpZWkccuvt7C7cLer7cJuF/LIaY+0/qayxyJ1Lfx0N6RvqN3e7zIY9y+whLdaKGu3p9Lrnefwrl7SWBEbz0mPP9Jq1xdCCNE87kqa5gP/UkqFaK3zgJeAi4D1SqmtQHcgALjPTdcTQgjRCrbkbOG2RbeRU57jart94O3c0PeGtlUF71AOB/z2OKx4mVrV8EK7w8T/ON9bakUVVhub//kQg6vfY6oymen55isYfGXxhRBCtBfuSpreApYCVgCt9Qql1CXAk0AfIBm4T2v9kZuuJ4QQooUtPrCY+5beR7mtHACTwcSTw59kYsJED0d2FA47/HgnrP+4ps3LB0bdC8NuB6/WX0b4w9NvMXhXzbLGwAcewqdbt1aPQwghRNO5JWnSWhcBfx7WNhuY7Y75hRBCtJ7NOZv5cMuHLEhe4Np3KdAcyEujX+KUyFM8HN1R2G3w/c2wqea9IbqeCRNfgJAurRqK1hpHaSlJy9eS+NVbrvbsEWMZNfXSVo1FCCFE87VaPdjqvZtGa60vaq1rCiGEaByHdrDkwBI+3PohazPX1uqLtcTy+lmv0yWodROPY2K3wrf/gK2HVPYbcCWc9zIYjC166ar9+8n75BNs6elYs3Moz8zCkZuLsaoSgIPPtjJDoxnx0rMtGosQQoiW0ZqbaJwMnN+K1xNCCNGAcls5P+7+kY+3fkxyUfIR/SNiRvCv4f8i1De09YNrLFslfH0N7JhX03bKdXDOf9y2v1J9KnPz2H3lNFRWhqtNAYenaRVGM7EvvoiXv1+LxiOEEKJltMGdB4UQQrQkrTVb87by/c7vmbd3HkVVRbX6vZQXE7pMYFrvafQI6eGhKBvJWg5fTIXdv9W0Db0Fxj/dImXEs4oqWLe/gPUH8lm/L59JX77AqYckTIeqMJrI9w6gMCCE0BtvZODgfm6PRwghROuQpEkIIU4QueW5zN0zl+93f8/O/CN3gAgwBTA5cTJX9LyCSP9ID0TYCA4HVBRAaQ6U5cDvT0Pyspr+EXfDmMeanTAVV1jZlVXCzswSdmYVk5RZQlJmMemFFa4xF+5awqnpW1zH7/SeRFJwHDo4lO49OzOoZyzDuoWREObfdisNCiGEaBRJmoQQ4ji3KXsT72x6h2Upy7Bp2xH9MZYYpvacykXdL8Lf5O+BCOtRWQLbfnC+p5S/z5kkleWBttc9/oz/g9PvO+aESWvN7uwSlu3MYcWuXLamFZJ2SHJUlx55+7huy1zX8d9DzqbfjbdwU9cwEiMskiQJIcRxRpImIYQ4ju3I28E186+hylFVq93H6MNZnc/igm4XcGrkqRhUy77702gOByQvhQ1fwNYfwFrauPPOetz5lKmRsooqWLE7pzpRyiGzqLJR5/mYDAwJ9eKOJZ/jpR3Otn79uPydZ1Fmc6OvL4QQon2RpEkIIY5TWmueWf1MrYRpQMcBXNDtAsbHj8ditngwusPk7XXurbThSyhKOfpY7yDwDwW/MLCEQ/8p0HNSoy6TVVzBjK82sGxnzlHHmYyKhDAL3SIsdA+30D08gMQIC51D/ci84w5K8p3nGwIDiXnhBUmYhBDiONfkpEkp9f4xnjKiqdcSQghx7BbsW+AqH25URj46+yP6dWyDxQj2LIbPLgNbHUviOvZwJkVdzwT/juAXCl5NS1C2pRdx/Yd/kVpQfkRfoI8Xw7qGMbx7GEO7hBAf5o/JeOTTt9wPPqBk0SLXcfTTT2GOjWlSPEIIIdqP5jxpuqYJ5+hmXE8IIUQjldvK+c9f/3EdT+kxpW0mTCVZ8O0NtRMm3xDoewkMmAJRA9xSBW/R9kxu/2w9pVXO96EMCk6ND2Fk9zBGdO9I35ggjIajX6d8wwaynq/5Mw2ZdjUBZ53V7NiEEEK0fc1Jmq51WxRCCCHc6n+b/0dGqbMUdohPCDcPuNnDEdXB4YDZ06E0y3nsHw6TXoTu45r8NOlwWmv+tyKZf83diqP6n+0s3l68MmUgo3uEN3oeW3Y2qXffAzZnIQ2fvn0JnzHDLTEKIYRo+5qcNGmtP3RnIEIIIdwjrSSN9zfXrKC+feDtBJoDPRhRPf54tfb+She+Cd3GuG16q93B4z9s4dM/97vaYjr48t41p9AjsnF/HtaMDHLff5+Cr75GVzifhhkCAoh5Ud5jEkKIE4kUghBCiOPMf/76D5V2ZzW4niE9ubDbhR6OqA6pa+G3mTXHw+90W8Jkd2jSCsr5v9mbahV8GNipA29fdQodA7wbnKPqwAFy33mXgtmzwWqt1Rf19FOYY2PdEqsQQoj2QZImIYQ4jqzJWMPCfQtdxw8MfgCjwejBiOpQUQTf/AMc1XtGRZ8Mox8+5mmqbA4W78hiV3YJB/LKSckv40BeGakF5VjttV+hPbd/NLMm98PHVP+fhaOqisodSeR/8jGFP80Fe+39oLx79iT87ruwjBp1zLEKIYRo3yRpEkKI44TNYePZ1c+6js/ucjYnR5zswYjqoDXMnQH5e53H5gCY/P4xv8OUXljO9R/+xZa0ogbH3nVWd+4c09214ayjspLKpJ1U7dlN5a7dVO7ZQ9WuXVQdOOB8z+owvgMGEHbzdPxHjZJNa4UQ4gQlSZMQQhwnvk36lqT8JAB8vXy5Z9A9Ho6oDhu+gE1f1Ryf+18I6XJsUxwo4IaP/iKruP4NacMsZrqE+fOPEQmM79mRis2bKf1jFaV/rKR83Xp0ZcOb2foNHUrY9On4DRksyZIQQpzgJGkSQojjQGFlIa/8/Yrr+Pq+1xPpH+nBiOqQs8v5lOmgAVOh7+RjmmLuxnTu+epvKm0O0JrwqmIm9wymc4AXkT4GInwMhJk1ZocNW9Zeyt76gqQ//8RR1PATKZTCFBODT98+hFx9NX4DBx7jDQohhDheNWdzW4vWusSdwQghhKhfSVUJc/fMJbcilxJrCaXWUkqqnN+pJakUVhYCEGOJYVrvaR6O9jCFKfD1NWAtdR6Hdoez/93o07XWvPHjen6b/TsX5+/npPz99Cg4QGBlKfx8yDgguxHzmTp3wifxJMxdE/Du2g3vrgmYu3TB4Ot7LHclhBDiBNGcJ00blFJXaq3/cFs0Qggh6lRuK+fGX25kU86mBsfee8q9eBsbrhDXKrSGTV/D3H9CdVKH0QyT3wNvS72n2QsLqdi2jYqt2yjdsoXUP9YyOi+D0U0Mw6tjR/xOG4r/acPwP20opsg29hROCCFEm9acpKkTsFQp9QwwU2ttb+gEIYQQx86hHTy0/KFGJUxjO4/lzE5ntkJUjVCaC3Pvhq1zDmlUcM4siOoPgHY4sKamUrlzpytJKtu6FUd6eq2pOtRzCUNAAF5hYShvb5S3GYPZu/pnbwy+vvj264f/sNMwd+0q7yUJIYRosuYkTcOAT4CHgPFKqala613uCUsIIcRBL697mV/2/eI6npw4mfjAePxN/lhMFue32UKQdxBdAru0jeQgaQH8cDuUZLqaHP6dKO9+F5WbFRWzH6YyaSeVu3ahy8oaNaVVGSmKjidh1GD8B/THp18/zPHxbeN+hRBCHNeanDRprdcopQYALwA3AeuVUjO01m+7LTohhDjBzd45m/c2v+c6vrLnldw/+H4PRtSAikL45VFY+0GtZlviFPa+vR1bxvONmsZqMJIcEMnuDjHsDophd3Asl00Zw7TTEyVJEkII0eqaVT1Pa10O3KyU+hF4H3hDKTURuA8or+ec/c25phBCnCj+TP+TJ/54wnV8euzp/POUf3owonrkJ8OO+ZA0H5KXg8Na0+cfDue/Sua7v2HLyKzz9EKzP3sDI0kOjGJ3UAw5UfGozvFEhQUQG+zH4GBf7u4WRteO9b8DJYQQQrQkt5Qc11rPU0r1Bj4CJlV/6hzqrmsKIcTxbE/hHu5efDc2bQOgR0gP/j3q3xgNRg9HhrO4w4HVkPSzM1nK3lb3uJ7nwaT/UrphB0U//Ohq9p00iZ8rglhQbiE5IJICnwBC/M38++J+3NE1FH9v+TUhhBCibXHnb6Z+1R8FZAAN7xwohBDiCHkVedz6660UVxUD0NG3I6+c+Qp+Jj/PBma3wubvYMVLkLWl/nGR/WDYHdB3Mo6qKtJnznR16dFjuSbiHJJzy6D6wdHATh147YqTie4g5b6FEEK0Tc1OmpRSJuAZ4C7ABtwPPK+11s2dWwghjkdl1jJWpq0ktSQVrTUOHGit0Wgc2sHv+38npSQFAF8vX14Z84pnN6qtKoV1H8Mfr0LhgSP7jd6QcDokTnB+gmJcXblvvYV1n3NVts3Xn+v9h5OZW1P44drh8Tx4dk/MXoYWvw0hhBCiqZqVNFUvyfsU5xOmrcBUrfUGdwQmhBDHk3JbOctSlrFw30KWpiyl3Fbna5+1KBTPjnyW3qG9WyHCOpTmwuq3nZ/yvNp9Jn/ocyGcdA4knAFm/1rdWmu2/7kRx1vvcDAdeiNxPJlezsdL/mYjz03ux6R+0S1+G0IIIURzNTlpUkrdBTwNeAOvAPdprWVJnhBCVKuwVbA8dTkLkhewJGVJoxKlQ804ZYZn9lwqzoSVL8Nf74P1sHLgfqEwZDqcej34hbiaHQ7NvrwytqQV8ldyPr9syeDOn16gr935Tta24M78HD8UgMQIC69PHUS3cCnsIIQQon1ozpOmF4B04Fqt9UI3xdMoSqlY4AlgAhBaHcf3ODfZzW/inKOA3wED8JTW+mE3hSuEOMEcKDrAlzu+ZPau2RRVFdU5JiEogSFRQzAbzBiUARQYMKCUQqHoFdqLMZ3GtG7gRek1yZKtonZfh07O95QGTMXh5cvW9CI2b97P1vQitqQVsS29iLKqmj3Ox+5bTd/cPQDYlYHXT57MsO4dGdcrkktOicXPLMUehBBCtB/N+a01G7hBa53X4Eg3Ukp1BVYC4cAcYDswGLgTmKCUGq61zj3GOQOAD4EyXK8mCyFE49kddlakreDz7Z+zInUFmiNf6+wS1IXx8eMZ33k83YK7eSDKehSmwor/wtoPwX7YgoGIPjDibuh1AWnFVr5dlsLXa1PYn1f/hrRBlSVcv/mnmuknXcK3M6cR5GdqqTsQQgghWlRzNre92J2BHIPXcSZMd2itXznYqJR6AbgbeAqYfoxzvgQE4Sxo8ZSb4hRCnABSS1JZmLyQL3d8SWpJ6hH9sZZYJiZMZHz8eLp16Na2NmYtOADLX4T1H4O9qnZfVH84/X4qEsbzy7YsvvpgLct35XC0Ej9hFjO9ooOY+vtcAquX9ZliYjht5n0YJGESQgjRjrWr9RHVT5nGAcnAa4d1PwbcCFyllJqhtS5t5JznA9cCV9HO/jyEEK0vszST1RmrWZOxhtUZq+tMlBSKETEjuLzH5YyIGeFcfteW5CfDshfg789qb0QLEH0y+vT72Og7lG/XpzLny0UUlluPmCLQx4sR3cPoHR1Er+hAekcFEh7oQ+mqP9n/799d4yIffQSDn4dLpQshhBDN1N6ShNHV3wu11o5DO7TWxUqpFTiTqqHAbw1NppQKB94Bvtdaf6KUusbN8QohjgNFVUW8/vfrrEhdQXJRcr3jAs2BXNT9Ii5NvJS4wLjWC7Cxcnc7k6UNn4O21+6LPZXcU+7my/xEvpubxq6slUecrhSM6BbGJafEMa5XBD6mmo12td1O/pdfkf3ii662gAkTsJx+eovdjhBCCNFa2lvSdFL1d1I9/TtxJk2JNCJpwpkwGTj25XwuSqm19XT1aOqcQoi2w+6wc+PCG9mSW/dmrr5evgwMH8iE+AlM6DIBX682uEFr3l5Y/Cxs+gpq/3sT9tihrIy5jjdTOrHyyzy0PvI/r3EhvlwyKI6LB8USU8cGtKWrV5P59DNUbt/uajNYLEQ8+KD770UIIYTwgPaWNAVVfxfW03+wvUNDEymlrgPOAy7TWme6ITYhxHHoix1f1EqYvI3eDOg4gFMjT2Vw1GD6hPbBZGzD7+sUpsK7Y6Csdn2cJL+BvMVkZu+Ox7FLAbVr+viZjZzdJ4qLB8UwtEsoBsOR72JZU1PJnPU8xfPn12r3io4i+plnMUWEu/12hBBCCE9ob0mTWyil4oH/Al9rrb9qzlxa60H1XGMtcHJz5hZCeFZWWRavrHfVm+Efff7BzQNuxtvo7cGojo1j2QsYDkmYltr78ortQtZUHPkw/ODyu4tOjmF878h6y4I7ysvJfecdct97H11ZU21P+fgQeuMNhF53HQYfH/ffjBBCCOEh7S1pOvgkKaie/oPtBQ3M8z5QDtzijqCEEMenWWtmUWp11pSJD4znlgG3YDaaPRxV49ny9sPaDzlYhuLWqjuY6xhaa4xBwUmRgZzXP5oLBkYTFXT05YXW1FQO3HIrlTt21GoPnDSJ8Bn3YIqKcuctCCGEEG1Ce0uaDv6WTqynv3v1d33vPB10Ms4EK7ue8r8PKaUeAuZorS845iiFEO3eyrSVzE+uWXb28NCH21XCZLU7+OPD/2OUdla+W+vozi/qNPrEBNAnOoje0YH0jgmiZ2QgvmZjA7M5la1bR8ptt2PPq1nK59O7NxEP/R9+J8uDdSGEEMev9pY0HaxjO04pZTi0gl71BrXDcW5Qu6qBeT4C6qqB2x0YBfwNrAXWNztiIUS7U2mv5KlVNVu2TUyYyJCoIR6M6NhU2Rw8+tHPPFEwD6r/XWhT91vYPGUCZq+mlT8v+PZb0h+fCdbq8uMmExEP3E/wlCkoQxsrqS6EEEK4WbtKmrTWu5VSC3FWyLsVeOWQ7pmAP/DWoXs0KaV6VJ+7/ZB57qhr/uqS46OAuVrrh91+A0KIduG9Te+xv3g/AAGmAP55yj89HFHjVdrs3PrpOkbveQ+zl7Os+H7/vkybek2Tkhtts5E163nyPvzQ1WYMCSH2lZfxG1TnK51CCCHEcaddJU3VbgFWAi8rpcYA24AhOPdwSgIeOmz8turvOtfhCSHEofYV7ePdTe+6ju88+U7CfMM8GFHjVVjt3PTxWnYlbeV178Wu9riLnmxSwmQvKiL1nhmULl/uavM+6STiXn8NU0yMO0IWQggh2oV2lzRVP206BXgCmACcA6QDLwEztdb5noxPCNF+aa15atVTWB3OJWh9QvswOXGyh6NqnMJyK7d+uo7lu3J42msOZuV8yqTjhqISznD+rDW6shJHSQn24mIcJaU4SkuwFxVhLyzEUVSEvaAQe6HzU7F5M9bUVNc1LGeNIea55zD4+7f+DQohhBAe1O6Spv9n777jq6wOP45/zl3ZCdmEkEDYoLIREVDQugqOah3UUUXbunexP7U4qrZqtSq21latVeuodVWsCgqiAg42shFIQkJIQva+4/n9cS83CRlATAIh33d7X/ee85znPOcxlxu+nOeeB8CyrGzgigNse8AzTJZlvQi82LZRiUhX99GOj1i6aykANmPjtxN+i912YIskdIbckmoWbMwnp6Sa3aU17C6vIa+0hvyyWsprPQD0NgWcb18U3Md37M3svutuKhYswFtRAR5Pm44df83VJN5wg76/JCIi3VKXDE0iIu2tvK6cR759JFieMWQGw+KHHcIR+ZXVuPlobR7vrMzhq+17sKzW219rfxdnYJapNmIcO2fNoW779jYf34SF0evBB4j+8Y/b3IeIiEhXp9AkIt2ez/Jx75J7KawuBCAxLJHrR15/yMZT5/GxaHMB767MYf6G3dR5fPvdx2W3MbZHGRdVfQEWVOSGkLO8CF9ldaN2xuXCFhkZeERgj4jEFhWFPSbG/+gRE3xti44h7Jijsce0dGs8ERGR7kGhSUS6vb+s+gvzMucFy7OOnUWkK/KQjOXbHUVc968V5JfXNtlmMzBxQAJj+8TRMyaEpOhQekaHkhwdSmy4E/P+jVjLPezZGEn+6mj89/AGExpKyu9+R9Rpp2JzdZ17TYmIiBwuFJpEpFv7YNsHPLvm2WB5xpAZnN739EMylq355Vz54reU1TT+3tGwlGjOHZ3KmSN6kRwd2vzOxTvwLXuVXV/1oCyr/jZ0jpQUej89h7CjjurIoYuIiBzRFJpEpNtalb+K2YtnB8sTe01k1rhZh2QsBeW1XP6P+sDUI9zJjGPTOWdkKoN7Ru13f/c797Fzfg9qiutnksLGjqH3k0/iiI/vsHGLiIh0BwpNItIt5VbkctPCm6jz1QHQL6Yfj574KA5b538sVtd5ueqlZews9l9OF+a08/LM8RzTe//fJfJVVrJn9pXs+Wgllrc+MPW46EJ63nknRpfjiYiI/GAKTSLS7VS6K7nu0+soqikCoEdID54+6WmiXPuf0WlvXp/FzW+sZHV2CeD/3tKcGaP2G5gsj4eSt96m4LHf4y2rAQJLgdug5+x7iL3oog4euYiISPeh0CQi3YrX52XW57PYWrIVAIfNwRNTnyAtOu2QjOeh/23g43W7g+V7zzqKHw1LbrG9ZVlUfvEF+Y88Su3WrY22hSSF0POPzxB+7IQOG6+IiEh3pNAkIt3K48sf5/OdnwfL90y4hzHJYw7JWP65ZAfPf1l/D6WrJmVw2YS+Lbavy8oi7957qVyytFG9I8xL4o/Sifnde5jQiI4aroiISLel0CQi3UKtt5bff/1QEV3xAAAgAElEQVR73tryVrBu5tEzOWfAOYdkPJ+s3819768Llk87Kpk7fzy0xfa1W7eSecUVeAsKg3U2h4/4oRXETZ+I7eKXwRHSoWMWERHprhSaROSIt6tiF7d8dgvr9tSHlJPSTuKm0Td16jiq67x8unE3/12Vy8JN+fgsf/2ItB48ceEobDbT7H41mzeTdcVMvHv2+CuMRY9+VSQeXY5j9DQ47wVwaMEHERGRjqLQJCJHtKW5S5n1+SxKakuCdWdknMF9x9+Hzdg6/Ph1Hh9fbi3gv6tymb9+N5V13kbb0+LCeO6ysYS57M3uX7NpE1mXX4G3uBjwzy6lnVBEeFIdHPUTOPfvYHd2+HmIiIh0ZwpNInJEsiyL5797njkr5+CzfAA4jIPbx93Oz4b8DGOan9VpD2U1br7cUsjCjfnM37Cbkip3s+1Gp/fgsQtGkhjV/GV1NevXk3X55XjLyoFAYJqyh/AENxxzAZzzDNj1MS4iItLR9NtWRI445XXl3P3l3SzIXhCsSwhL4LETH2N08uh2P55lWWzaXc7CjQUs3JTP8sxivHuvvdtHv8QIzhrRi7NG9KJfYmSLfVZ/tYCsa27CV+2/2a3N6SN9yh7CEnxw3PVwyv1ga352SkRERNqXQpOIHFFqPDVc/tHlbC7eHKwbnTSaP574RxLDE9v9eO+tyuHhDzeSW1rTYpvUHmFMH5HCWSN6MSwl2j/LZVlQUwZVe6C6CKqK/K+r9lC9cjlZzyzG5/ZfPmhzBQLT5Okw9W5IGNDu5yEiIiItU2gSkSPKG5veaBSYLh12KbeMuQWnrf2/97NkayE3v7EKq5lJpeG9Y5gyOImpgxMZ0btH/SIP7mpY8TIsfRpKMoPtvXWGyt0hVO4KoSwrDJ/HH5jsLh/pl/Ql9OLXILX9Z8lERERk/xSaROSIUVFXwXNrnwuWbxlzCzOPntkhx8ovr+HG1+sDU3SogxMGJTJ1cBInDEps+j2lmjL49jn46i9QWYDlg+oiJ5W7QqnMC6G6yAlW4+9Z2cMM6Y/cTegpl3bIOYiIiMiBUWgSkSPGy+tfDq6SlxqZyqVDOyZseH0WN7++isKKWgASIl3878bJJEWHNmnrK9xJ7dzHqVv8DrV73NSVO6grS6Su3IHla3kxCmfPeHo/+zyhgwd3yDmIiIjIgVNoEpEjQnFNMf9c/89g+dqR1+LsoKW453y6mQ3rtjO8PJ+0inyuzHDh+cNn7Cwvw1tahre8HF9pCd7iQnzVe1fOCw08WmAMocccQ+SkiURMmkTYMcdgnFpKXERE5HCg0CQiR4QXvnuBSnclAP1i+jEtY9oB72u53dRs2kzN2jV4S8uAwDV3loW19/o7jxd3zk72rN/C5O3bOM1TW9/Baihtw5gdvVKImDCByEmTiJgwAXuPHm3oRURERDqaQpOIdHm7K3fz2sbXguUbRt2AvZXluN2786levYrq1aupXrWamu++w6qtbbF9Qw4O8oPTWLh62HENHEzI8ONx9R9ASP9+uDIysEdFHUxPIiIicogoNIlIl/e3NX+j1usPPcPih3Fy+snNtvMUF5P9y19Rs3btDz5mpTOMmMEDiBjQH1ffvth9+dg3vI7dnY/NZWF3+bBHRmCb/jvMmJ9DB95MV0RERDqWQpOIdGnZ5dm8veXtYPmmUTf574PUjMI5c1oMTM5evQgbORJnaqo/4OztwwA+H+u3bGZlcQ1FUVGUREdz9bThDOwVBViw6UNY+TLEN+hw4Gkw/U8Qk9o+JyoiIiKHjEKTiHRpz6x6Bo/lAWBM8hgm9JrQbLu6HTso/vebwXLY6NGEjx5F2MiRhA4fjjMpqfEOPh9kLYG1/8G99h2mJJcwJbnB9s9bGFBYLJzxCBxzvmaXREREjhAKTSLSZW0t3srcbXOD5RtH3djiLFP+n54Ajz9chY8bR/pL/2za1rIgbw2sfRO+exvKcgA44DXshp4F0x6DyKT9txUREZEuQ6FJRLqsp1c9jRVY6W5y6mRGJ49utl316tWUf/xxsJz069ubBqbSHHjjYshd2WwfOVY8WbY0RveJI8TpAAKX8BkbOMPgqHNh6PR2OS8RERE5vCg0iUiX9F3hd3ya9WmwfMOoG5ptZ1kW+Y/+MViOOv10woYPb9pw7s1NAtMeK4r/ecfznvd4iuJG8c8rjyMkLrx9TkBERES6DIUmEelytpdu594l9wbLp/U9jaHxQ5ttW/HZZ1QtW+YvOBwk3XJz00a71sCWeQBYGFb1OIUn80fype9oPDgY0TuGNy8fR3xkSHufioiIiHQBCk0i0mV4fB7+ue6f/GXVX6jz1QFgMzauG3lds+0tr5eCxx8PlmMvuABXnz5NG37xWPDlsogTOD/v8mD5hEGJPHPxaCJC9HEpIiLSXelvASLSJWwq2sTsJbNZv2d9sM5hHMw6dhYZMRnN7lP67rvUbtkKgC08nITrrm3aqHALrH8vWLy36LTg63NHpfLwT4fjtNva6SxERESkK1JoEpHDmtvr5m9r/8Zza54LLi0OMDRuKL+b+DsGxw1udj9fdTUFT80JluOunIkjPr5pwy+fgMBiEgu8I1ln9QXgVyf24zenD2lxNT4RERHpPhSaROSQKqwu5KV1L5FVnoVlWez9n///FjvKdpBZlhls77K5uHbktfz8qJ/jsLX8EVb08it4du8GwJ6QQPzllzdtVJKFtfp19saiP3vOBuC304dx5aTmZ69ERESk+1FoEpFD5qPtH/HA1w9QWlt6QO1HJY3ivuPva/FyvL08xcXs+fvfg+XE66/DFhHRpF3W3IdJD8xefeUbylr7UJ6+YATTh/c6iLMQERGRI51Ck4h0uuKaYh746gHmZc47oPZhjjBuGn0TM4bMwGZa/36Rr6aGgieexFdeDoCrb196nHdek3avL1jGOVveYO800z/t5/HqzPGM7Rt3cCcjIiIiRzyFJhHpVJ9mfcr9S++nqKYoWJcSkcI1I64hyhWFwYABGzaMMdiMjWMSjiE2NLbFPut27qTi88+pXPQ5lV9/jVVTE9yWeOstGKczWPb5LB783wYSvnqCUIcbgI22Acy65hoyEiM74IxFRESkq1NoEpFOUVpbysPfPMz7295vVH/ewPO4feztRLoOLrB4CgvZ8/wLVCxaRN22bc22CRs1iqhTTgmWK2o93P7v1SxZt5XFIZ8E61PPvIsoBSYRERFpgUKTiHS40tpSLpp7ETsrdgbrksKSuPf4e5nce/JB9+ctLWX7+Rfg2bWr2e2ujAwiTzyR+CtnBle/W5Vdwo2vrSSrqIob7POIMtUA+BIGEzXinDaclYiIiHQXCk0i0uHe3vJ2o8A0vd90fnPsb4gJiWlTf3n3/65RYDIhIYQfN57IE04g8oQTcKWlBbd5fRZ/XfQ9f5q/GY/PIpwaZjo+Cm63Tb4NbLoPk4iIiLRMoUlEOtyCrAXB17eOuZUrjr6izX2VfvABZR98ECz3vPdeYs45G1toaJO2eaU13PLGKpZu2xOsuyLkM2JNhb/Qow8c3XSRCBEREZGGFJpEpEMVVheyumA1ADZj45wBbb8Uzr17N3n33R8sx5x7LrEXXdhs24/X5XHHW2soqXIH685IreaWmnlQGaiYdDPY9TEoIiIirdPfFkSkQ32+83P/zWqBkYkjW10FrzWWz8eu/7sTX1kZAM7UVJLv/L8m7bYXVjJnwRbeXpGzd08m2dZxb/KX9N/zBSYwFiJ7wsiL2zQWERER6V4UmkSkQy3MWhh8fVL6SW3up/hfr1K5ZIm/YAy9Hv4D9sj6Fe++yynlmUXf8+HaXfgsCKWWc+yL+YVrHv2tLCjep8Mf3QOOkDaPR0RERLoPhSYR6TBV7iqW7loaLE9Nm9qmfmq3bSP/j38MluOvnEn42LFYu9ezcfNGFq3aQEFeDsNMOZPs5cSbMsbZNvm/u2Tt09mAH8GE66F/28YiIiIi3Y9Ck4h0mKW7llLrrQVgQI8BpEenH3QflttN7q9nYdX6+wkZPJj4a35J4d9/QkLOAoYCQwGcrXTijICRM+DYX0HioIMeg4iIiHRvCk0i0mEaXprX1lmmwmf+Ss26dQAYp5Pim37DrjmXMLFm0f537pHuD0qjLoGwHm06voiIiIhCk4h0CI/Pw6Kd9cGmLaGpetUqCp99NlheOPFcbAue4leO+n6X+QbjiEsjI70PMfE9ITweIhIgqhekjgab/YediIiIiHR7Ck0i0iFW5a+ipLYEgMSwRI5KOOqg9veWlJBz623g9QKwNr4f+XGF3OOov0fTVwk/oe8lz9CzR1j7DVxERERkHwpNItIhFmbXX5o3JW0KNmPb7z6WZbGtsJIV2/cQ+8D/kZqbC0ClI5Rvxw7lYedzwbZVGadx3KXPayZJREREOpxCk4i0O8uyGoWmli7N8/osvssp5cuthXy7o4hV2SWUVLmZsXE+l21eGWz37pjJPNDjRWwmsBRe73GEz3hRgUlEREQ6hUKTiLS770u+J7s8G4BwRzjjU8YHt+WWVPPFlgI+31LI4q2FlFS5G+07On8Tl2ycFyzPHzSWO/q/TYgv0C6uP8x4A1zhHX8iIiIiIig0iUgHaDjLNDF1Ij6fnT8t2MwHa3exNb9in9YWJ9jWkGYKiK6q4PRlX2ML3FzJlpHIdSeuxF5e7m8angCX/Aci4jvpTEREREQUmkSkAzQMTcNiJnDOnxezMa+82ba/CX+fq32v4/NC5tcJ1NS5AHCEeskYvhZ7uc/f0BkOF/8b4vp1+PhFREREGlJoEpF2lV+Vz9rCtQAYbDz6jo3auvrA5HLYGJ8RxwkDEzktfCNpc9/w77cyhpoif2DCWKROLMYRFghMxgbnvwipYzrzVEREREQAhSYRaWefZX8WfO2uzKC2LhSAEIeNu6YN5YKxaYQ67VC2C569EbAo3RFG8daI4H7J54wg/OShYHOAzQn9p0LasZ18JiIiIiJ+Ck0i0q7e2fRx8LWnfBgAg5OjmPOzUQyIDcGdtYPy7dupe+se6rLrcJfHU1XoCu4TdfrpxD70OBjT6WMXERERaY5Ck4j8IMWVdWzYVcb6XWUsz85jbe1y9t6SyVM+jMsm9OH2gQ6Kb7uWTStWgM/XYO+IRn25MjJIeeABjAKTiIiIHEYUmkTkoOworOTtFTtZl+sPSrtKa4LbHFFrCOvt9RfqevHshScxZvk8ci/6E1ZdXav9uvr1o/ecp7BHRrTaTkRERKSzKTSJyAGprPXw9MKtPPfFNtxeq9k2jqj1wddX9TqBwX+8k/yvv65vYAzOCC+uCDfOKA+uvhm4fjIbV0YGrvR0jEMfSSIiInL40d9QRKRVlmXx/ppdPPTBBvLK9s4qeTGuIuyufJxhBcREF2EPzafCl43Pspi43uKUBW9TVVEV7Cdk6BBSxxcTUrPSXxGVAle/BREJnX9SIiIiIgdBoUlEWrQxr4x73lvH19uLAjU+XInzCY3/Esu4g+0qAbwW8eVwyQIfEzdYQCAw2WzE/+IXJA7Mwyx7xl9n7PDTFxSYREREpEtQaBKRJkqq6njiky28/FUmXl/gUjxTR0z6m/jC1xJVaZFeYNG7ENIKLXoXWKQVQmRN436cvVPpNfMEwotfg2Ub6zec/Fvoc3znnZCIiIjID6DQJCJB1XVeXli8nb8u+p7yGk+w3u6spPeQ1yhyb+HST31M+8bCtp++ekzIIKn/euybv228YeCpcPxN7T94ERERkQ6i0CQiuL0+3vg2m6c+3UJ+eW2jbaP711Ea8zz51bmcs9TizG+aXwQCwBYeRkiig/j0bKJSF4OnwUZXJIy6FE66G2z7i1wiIiIihw+FJpFuzOez+GDtLh6bt4kde6oabctIiOC842t5LfMhyqrLGLfZx88W1d9jKWTgQEKPOYaQAQMISUsiZNe7OL5/E2P2CVU9+sD4X8GoSyA0pjNOS0RERKRdKTSJdBNen0VWURVbdpeztaCCrbsrWL2zhO8LKhu1S44O4YaT+hOdsI57l87G7XPTZ7fFDf+tD0zh48aR/vxzGIcdlr0AC66BmlJoeE/avpPhuGtg0Olgs3fSWYqIiIi0vy4ZmowxvYH7gdOBeGAX8C5wn2VZxQewfwRwDjANGA2kAT5gE/AaMMeyrNbvxClymPP5LL7dUcR7q3NZkVnMtoJK6rw+wMK4CnGE7cAWnklYWinGVovdUUNEmBfLVPPwpir/nwYgptLi/96yCA0sludMSyP1qScxeSvhf7dB3trGBx50hv8SvJ5Hd+r5ioiIiHSULheajDH9gSVAEvAesBE4FrgJON0YM9GyrD376WYy8ApQBCzEH7higbOAPwLnGmNOtiyrpuUuRA5Pm3eX8+7KHN5blUtOSTXgxRaagz1mB6HhO7CHZWJzVDa7b6W3cdnpsbj7XSdxpf4/CrbISNLuvR7HZ3fC6lcbN47NgDMehkGndcBZiYiIiBw6XS40AX/BH5hutCxrzt5KY8zjwC3Ag8DV++kjD7gEeLPhjJIx5nbgM+B44DrgsXYduUgHyS+r4b1VubyzMof1u8oCtT4cMSsJSfwYm7Os1f2bE+mI4K4FEfTJyvVXGEgdt4uQ+Zc2bugIg8m3wfE3gDP0h52IiIiIyGGoS4WmwCzTqcAO4M/7bL4H+CVwqTHmNsuymv+ndMCyrFXAqmbqy40xjwH/Aqag0CSHsRq3l3nrd/PW8p18saUAX4P1F2yh2YQmv489PKvZfWNCYhiVOIpRyaMY0GMA0a5oIpwRRFkQkbuGiMylFP1nPgVflwb3SRpZSmTyPn+shp4Jpz0EPdI74hRFREREDgtdKjQBUwPP8yzL8jXcEAg8i/GHquOAT9t4jMA3NxotlixyWLAsi+WZxby1Yidz1+xqdC8lAGMvJyz5Y+wxyxrVx4XGMbHXREYlj2J00mgyYjKwGRt43bBzGdZ3H+BZ9Sk1GzZQU2SnpNhJRW4Ie1d2iOlXSdygQGDqkQ5p42HkxdB/KiIiIiJHuq4WmgYHnje3sH0L/tA0iLaHppmB548OpLExZnkLm4a08fgigH+1u53FVWzZXcGW/Aq25lewPLOoydLgfh4GDFxFsesD6nzVwVqnzcllwy7jF8N/QYQzwl9ZvhtW/gvf+g8p+uArKnOhttiJt84G9GjSc3hvFynXnoXJmOAPS9EpHXPCIiIiIoeprhaa9t7kpbSF7Xvrm/7N7wAYY67HvyLfKuCFtvQh0hKP10dZjYfiqjpKquooq/ZQVuOmrNpNWY0n+FxaXcf2wiq+L6igzuNrtc/eSZVk9F1HtvsLdtcU+NeADJiSNoVfj/016ZGpkLsKtnwMmz+GXavweQzZn8dRlR/Sav+hxxxN6t/+homNbY//BCIiIiJdUlcLTR3GGHMu8AT+RSLOsyzLvZ9dALAsa0wL/S3Hv5y5HKEsy2L1zlKW7SiivMZDtdtLZa2Hqrr65/IaNyXVboor6yiraZ8rPqNCfYwcmkV1yFdsKl3FqvLG2/uaEH7jjWbihm9g2RSoLoYGV7N63f7AVF3QODDZwkMJHTqU0KOHE3rUMEKHDsXVvz/GZmuXcYuIiIh0VV0tNO2dSYppYfve+pKD6dQYcw7wOpAPTLUsa1vbhifdQWm1m3dX5vDaN1lszCvf/w4/QHykgz5JtSTFVREVWUal2c6KPZ+xqqYC9lkQP87rZWZJGT8rK8fZQn9etyF7UTzVha5gXcI11xBz3rk4U1MxxrSwp4iIiEj31dVCU+B2mwxqYfvAwHNL33lqwhhzPvAq/hmmkyzL2tL24cmRyrIslmUW89o3WXywZhe1+7lsrjnGQHSok9hwJzHhLmLCnMSEOYkKdRAd6n82zjJWlb7NHvcOSuryKKwpYIvlY0sl0Mx6kHZjZ7IrkZ9krWVyVXWLYYmoFLwpk8h6LZOawp3B6qQ77iD+issP+lxEREREupOuFpoWBp5PNcbYGq6gZ4yJAiYCVcBXB9KZMeZi4J9ADpphkmb4fBbvrsrhL599z9b8iibbQ502Tj+qJ+nxEUS47ISHOPzPLjvhLgcRIQ5iw53EhruIDnNit7U8k7O7cjc//+h6cipy9juuPtF9OGfAOZzV6wSS/joF3IHFH46/EVJGQEQChCcEnuPxlleSdeVV1GypD0zJd95J3GWXNn8AEREREQnqUqHJsqzvjTHz8K+Qdx0wp8Hm+4AI4NmG92gyxgwJ7LuxYV/GmJ/jX+whE39gyuzg4UsXszq7hHv+u45V2U2v9hyWEs2MY9M4a2QqMWEtzu8csOKaYn45/5dNApPBkBieSGpkKr0ie5EamcqElAmMSR7jv5Ru4UPgDrzdE4fCj+6Dfb6D5CkuJmvmldRu2BCs63nPbGJnzPjB4xYRERHpDrpUaAq4FlgCPGWMORnYAIzHfw+nzcBd+7Tf+zfF4D/xG2Om4g9MNvyzV1c0812OEsuynmj30cthL7+8hkc+2sR/lu9sVB/hsnPWyFRmHJvGMakx7fb9n/K6cq7+5Gq2lfonOh3GwewJsxmTPIaeET1x2V3N71hTBl//FYDqPU4qzTi8jzyKt7QUb1kZ3tISfKVluHfvxldW5t/HGHredy+xF1zQLmMXERER6Q66XGgKzDaNBe7Hvzz4j4FdwJPAfZZlFR9AN33wByaovy/TvjLxr6Yn3USdx8c/Fm9nzoKtVNTWr3Tnstu4cnIG107pT1ToD59VaqjaU831n17P+j3rAf/M0u8n/57TM07f/87Lnqc6p4qC7+Ko3BUKfNJ6e2NIefBBepz7kx8+cBEREZFupMuFJgDLsrKBKw6wbZPpAMuyXgRebN9RSVe2Nb+cX760nG2FjVdb+NHQZO6eNpS+CRHtfky3180tn93CivwVwbrZE2YfUGCqXr2Cwvv+SkV24gEdyx4bS/JddxEzfVqbxysiIiLSXXXJ0CTSnjxeH9f9a2WjwDQgKZLZ04dxwqADCyUHy+vz8psvfsPinMXButvH3s5PB/201f1qNmyg4Ok/U/Hpp9RPlgLGEH3GGYQeNQx7TAy26GjsMT2wx0Rjj4nBER+PcbVwmZ+IiIiItEqhSbq9V77KZNNu//2WQp02fn3aEC6b0AenvWNu6uqzfNy39D7mZc4L1v1q+K/4+VE/b7a9OzeX8vnzKZs3n+rly/fZahE9fjAJsx8npH//DhmviIiISHen0CTd2p6KWh6fX39brxtPHsiVkzI67Hg+y8eDXz3IO1vfCdZdPPRirht5XaN2dZmZlM2bR/m8+dSsXdtsX1Fp1SSOcxBy3+vgDOuwMYuIiIh0dwpN0q39cd4mymr8iz70jQ/v0MDk9Xm5b+l9jQLT2f3PZta4WcGV+Kq+/Za83/+e2vUbmu/EZiOqDyQMziO0h8e/xLgCk4iIiEiHUmiSbmvNzhJe/zY7WJ595jBCHPYOOZbX5+W3i3/L+9veD9ZN6zeNe4+/F5vxXwZY/Ma/yfvd78Djabyzw0HEcccRdeopRPWqwvHJTf760B4w7soOGa+IiIiI1FNokm7J57O497/rsCx/eergRE4aktwhx/L4PNz5xZ18uOPDYN3Z/c/mvuPvw26zY3k87P79Hyj+17+C243LRcSkSf6gNHUq9pgY8PngmePrOx5/NYREdciYRURERKSeQpN0S++szGFFVgkATrth9plHdchx3D43d3x+B/Mz5wfrzht4HrMnzMZmbHhLSth5yy1ULf0quD1k2FDS/vxnnCkpjTvb9AEUBC7bc0XC+F91yJhFREREpDGFJul2ymvc/P7DjcHylZP6kdEB92Gq89Zx+6LbWZi9MFh34eALuXP8ndiMjdpt28i+5hrcmVnB7VGnn06vhx7EFh7euLPMJfC/WfXlsTMhPK7dxywiIiIiTSk0SbczZ8FWCitqAUiODuGGkwa0+zG8Pi+3fnYri3YuCtZdMvQSZo2bBR4P5V98Ru4dv8FXXh7cnnDD9SRce21wUQh/R25Y9DB88RhYPn+dMxwmXN/uYxYRERGR5ik0SbeyNb+CF77cHizf+eOhRIS03x8Dy+fDcrv5ZOv/WLH5M9IqoXehxXQzktErd7H9d2dRuyMT3O7gPiYsjF5/+APRp53auLOi7fD2L2Dnt/V1YbFw7nMQ1THfvxIRERGRphSapNuwLIv73l+Hx+df/WFc31jOGtGrzf15KyrIf+wxyud/gq+qCsvtDoahdOD5Rq1XUN5MH46UFNL+/DShw4Y13rDm3zD3VqhrsFffyXDu3yC67WMWERERkYOn0CTdwqa8cv40fzNfbCkEwGbg3rOOanwp3EGoXr2anNt/jTs7e/+Nm+FISSHi2HEk3X47jsTE+g21FfDBrbDmjfo6mwNOuhuOvxFsHbMkuoiIiIi0TKFJjmjfF1TwxCdbmLsmN7i8OMCMY9M5qlfMQfdneb3see55CubMaXo/pQCfw06tzYvbDt7wENKOPg7XgP6E9B9AyID+uPr1wx4Z2XRHTx28dhHs+KK+Lq4fnPccpI456LGKiIiISPtQaJIjUtaeKp78dAvvrNyJz2q8bfrwFO6aNvSg+3Tn5ZE76w6qvvkmWGeLjKTnPfcQOXUKxuXCOJ3M+GAG6/asA2D2hLs4ftD5++/csvwzTA0D08iL4YyHdS8mERERkUNMoUmOGB6vj6Xb9vDOyhz+uyo3+N2lvU4eksQtpwzi6NSDn2Eqmz+fvLt/i7e0NFgXNmoUvR59FFfv1GDdttJtwcDktDk5tc+pTfpq1pKnYOXL9eWpd8GJs1puLyIiIiKdRqFJujTLsliRVcL7q3OZu2ZXcCnxhiYPTODWUwYxKj32oPuuXr6cPf94kYpPP63fYLORcPXVJFx7DcbR+I/Q3O/nBl9PSZtCTMgBBLQNc2H+PfXlETPghF8f1FhFREREpOMoNEmX4vVZ5JZU831BBd9sL+L9NblkF1U32/a4fnHcdupgxvU9uJvAWm43ZY5zYU4AACAASURBVB/Po+jFF6n57rtG2xwpKaQ++gjhY8c22c9n+Zi7rT40Te83ff8Hy13lX1acwKxY+vFw5pPQxgUqRERERKT9KTTJYauqzsO8dbvZtLuc7QWVbCusYMeeKuo8vhb3SYwKYfrwFM4emcrItB4HdTxvWRklb75J0cuv4MnLa7I9eto0es7+LfaY5mePlu9ezq7KXQDEhMQwOXVy6wcsy/Uv/OCu8pdjM+DCV8ARclDjFhEREZGOpdAkh61r/7WCzzYV7LdddKiDM45O4ayRvTiuXzx228HP0lQsWkTOrbfhq6xsVG9CQog5+2zifn4ZIf37t9pHw1mm0/uejtPubLlxbQW8eiGU+0MWoTHws39DRPxBj11EREREOpZCkxyWVmeXtBiYEiJD6JcYQf/ECKYOTuLEwYmEONp+/6K6zMwmgckeH0/sxT8j9qKLcMTt//K+Gk8N83bMC5ZbvTTP64G3fwl5a/xlmwMueAkSB7X5HERERESk4yg0yWHpuS+3B1+Pz4jjomPT6JcQSd+ECGLCWpnBOUi+2lp23nJLMDA5kpNJvPEGoqdPxxZy4JfJfbbzMyrcFQCkR6UzInFE8w13LoO5N0Pe2vq6aY9BvyltPAMRERER6WgKTXLYySmp5n9rdwXLv50+rE3LhB+I/IcfoXb9BgCM00nvP/+ZsKOPOuh+Gq6aN73fdMy+CzlUF8On98OyfxBc9AHg+BtgzOVtGLmIiIiIdBaFJjnsvLh4O97APZYm9IvvsMBU9tHHFL/6arCcdMcdbQpMRTVFLM5ZHCw3ujTPsmDtm/DxnVDZ4HJDRyiceAdMvLlNYxcRERGRzqPQJIeV8ho3r3+THSxfNTmjQ45Tl5XFrrvvDpajTj2V2It/1qa+Ptz+IR7LA8DIxJGkRaf5NxRsgv/dDts/b7zDwFPhx49CbN82HU9EREREOpdCkxxW3vg2m/JafwDpF1joob356urIufkWfBX+7yA5e/cm5cEHml5Sd4AaXpp3Zt/TYe1/YMVLsH1R44ZRveCMh2HomboPk4iIiEgXotAkhw2P18c/Fu8Ilq+clIGtDcuH70/+I49Ss369v+B0kvqnP2GPimpTX9tLt/PdHv8NcJ3YOG3uXVBV3LiRscNx18CU30BI244jIiIiIoeOQpMcNj5al0dOSTUAseFOzhvdu92PUfbxPIpfeSVYTp41i7Bjjm5bZ+4a3l/yh2DxhMoKYhoGJmODAT+Ck34LKcPbOmQREREROcQUmuSwYFkWf/+ifpnxS4/rQ6iz7fdeak7Nps2Nv8d0yinEXnLxwXdUuhO+fR7fin/yQVwIOP1/jM6sCNznKSYdRl8KI38GMe0f/ERERESkcyk0yWFheWYxq7NLAHDZbVw6oW+79l+xaFGjG9g6U1MP7ntMlgWZS+CbZ2HDXLC8fBkWSq4zAoBor4/JfU/1Lx+eMQVstnYdv4iIiIgcOgpNclh4rsEs0zmjepEYdeA3lm2NZVkUv/wyu//wMPh8ANjCw0l94gns0dH778Dnhe/ehsVPwu61jTa9FFO//0+GXITr+N+2y5hFRERE5PCi0CSHXOaeSj5enxcsXzW5X7v0a7nd5D34ICWvvxGsc/bqRe9nniF08KDWd/Z5Yd07sOhhKNzcZPPGvuP52vhvwGs3di4eflW7jFlEREREDj8KTXLI/WPxDiz/vWw5YVAig5J/+Apz3tJSdt58M1VLvwrWhY0YQe8/P40jIaHlHYNh6REo3NR4myMMRlwEx/6Slza/AtveB+DUPqeSEpnyg8csIiIiIocnhSY5pEqr3Px7Wf3NbH/RDjezrcvMJPvqa6jbXn/JX/S0aaQ89CC2kBYu+/N6YMN7/rBUsLHxtpBo/5Lh46+G8Dh2V+7mw+0fBjdfdtRlP3jMIiIiInL4UmiSQ+qlpTuoqvMCMKRnFJMGtDILdADKFywg9//uxFdaGqxLuPEGEq65pvlFH0pz/DeiXfESlOc23uaK8oelCddCWGyw+rWNr+Gx/DfgHZ00mqMT2rhkuYiIiIh0CQpNcshsza/g6YVbg+UrJ2Uc+Gp2+/DV1ZH/xz9S/NLLwToTEkKvP/ye6DPO2KexF75fAMv+AZs/BMvXeLsrCo67Go67FsLjGm2qclfx783/DpY1yyQiIiJy5FNokkPC67O4/c3V1Hr8gWVYSjTnjEptU191WVnk3HIrNevWBescKSn0fvIJwoYP9y8XXpYDeWshZwWseR1Kspp2FJEIY67wzy7tE5b2enfru5TXlQOQHpXOlN5T2jRmEREREek6FJrkkPj7F9tYFbgvk9NueOyCETjtB39vo9IPPiBv9j3B+y8BRJ4wkV4/n4h91xuw8m5/WKouarmTjBNg7EwYPA0crhabeX1eXtnwSrB8ybBLsNva9wa8IiIiInL4UWiSTrdldzmPz6tfxvumkwcyNOUA7pnUgK+mht0P/Z6Sf9dfKofTSfJ1M4ktegwz/83WOwiLhZEX+2eWEgYc0DE/y/6M7HL/ohXRrmjO7n/2QY1ZRERERLomhSbpVB6vj9vfXE2d139Z3jGpMVx9Yv+D66OoiOyrfkHN+vXBOmdaGqmPP07Ylqcgr6zpTiHR0PMY/yPtWP+skjP0oI770vqXgq8vGHwB4c7wg9pfRERERLomhSbpVM9+vo3VO/0r27nsNv54/ggcB3FZnjs/n6yZM6nb+n2wLuqM00m5/37s1TvhrQYzT8ffAL2P9Qel2L7QxkUmANYWrGVF/goAHDYHM4bMaHNfIiIiItK1KDRJp9mYV8YTn9RflnfzKQMZ3PPAb2Trzs0l84orcGcGFnGw2Ui++y5iZ8zwr7r3vweBwF1yB5wCpz7QbmNvOMt0Rt8zSApPare+RUREROTwptAkncIduCzP7fWHmhFpPfjl5H4HvH9dZiaZV1yBJ3eXv8Jup9cjDxMzbZq/nLsSNrxfv8NJd7fX0MmtyGV+5vxgWcuMi4iIiHQvCk3SKZ757Hu+y/F/18jlsPHY+cMP+LK82q1bybpiJp6CAgCM00nqE38i6uST6xstaDCrNPQs6DXyoMZnWRbby7azs3wne6r3UFBdQGF1IYXVhWwp3oLX8t+Ad3zP8QyJG3JQfYuIiIhI16bQJB1uRVYxT326JVi+7ZRBDEg6sMvyajZsIGvmlXiLiwEwoaH0njOHyMmT6htlLoWtnwQKBqbedcBjK60tZe62uby95W02F2/eb3vNMomIiIh0PwpN0qHW5ZZy+Qvf4PH5L8sbld6Dqw7wsrzqNWvIuuoX+Mr8M1S28HDSnv0r4ePG1TeyLFjwu/ry8AshqfWZIJ/lY1neMt7a8hafZH5Cna/ugMYzsddEJqVO2n9DERERETmiKDRJh9maX86lz39DWY0HgLgIF49fMBK7bf+r2Ll37SL76mvqA1N0NOl//xthI0Y0brhtIWQu9r+2OWDKb1rss9Zby6sbXuXNzW8G77fUUKg9lBFJI0gKSyIhLCH4SAxPJCk8ifSodP+CEyIiIiLSrSg0SYfI3FPJz/7+NUWV/lmc6FAHL808loyEiP3u66utZecNN+ItKgLA3qMH6f94gdChQxs3tCz4tMEs06hLIS6j2T5X5q9k9uLZ7Cjb0WTbsPhhnDfwPM7IOIMo14Gv5iciIiIi3YNCk7S7nJJqfvb3r8kvrwUgwmXnxZnHcnRqzH73tSyLvPvvp+a77/wVDge9n57TNDABbPof5PrvnYQ9BE74dZMmVe4qnlr5FK9ueBVr73LkQJQzimn9pnHuwHMZGt9M3yIiIiIiAQpN0q7yy2u45LmvySmpBiDEYeP5y8cxOj32gPYveeMNSt96O1hOvuMOwseObdrQ54MFD9aXx10FMamNmizJXcL9S+8npyInWBfhjODGUTdy7sBzCXWEHsSZiYiIiEh3pdAk7aaoso5Lnvua7YWVADjthmcvHcNx/eIPaP+qFSvJe/ChYDnm7LOIveRif8HrBnc1eGrBUw1b5kH+Ov82ZwRMuiW4X2ltKY8te4x3tr7TqP9JqZO4Z8I99Izo+QPOUkRERES6G4Um+cF8PotPN+bzyEcb2ZJfAYDdZnj6Z6OZMjip9Z0tC3JW4P5+NTtn/RncbgBCkl307Dkf84dXoa4SAvdJarQrUGC3s2nEOWza/h6bijaxqXgTmWWZ+CxfsF1MSAx3jLuD6f2mayEHERERETloCk3SZh6vj/fX5PLMZ9+zeXdFsN4YePyCEZx2VCszOl4PrHsbFj+JlfsdOQsT8Ja6ALC7vPQel42ttGlQAtjkcvKv6Cg+Cw+j2G6HPV/4H804pc8p3Dn+ThLCEtp+oiIiIiLSrSk0yUGrcXt5c1k2z36+jZ3F1Y22uew2HvzJ0Zw9MrX5neuqYOUrsHQOlGRhWbB7ZQzVhf7AhLFIPb4YV2TjwOQ1NhZFRvNKdATfuuytjs9gGBg7kGtGXMOP+vyozecpIiIiIgIKTXIQymvcvPJVFs9/uY3CisY3hI1w2bn4uD5cOSmD5OjGCyxYXi9Vi+ZRu/B13BuX4Cmrw1Nlx1OThLvKhuW1BdsmnTeeiJ+eDlHJEJVCRUgk72R/yqub3mBnxc4mY4pwRjAodhCDYgcxOG4wg2MHM6DHAMKd4R3zH0FEREREuh2FJtmvkqo6/rF4By8u2UFptbvRtthwJ1dMzOCyCX3oUbENNr4MZblQlos3P5uSb3dSvKYGd/ne2SEHLb3tKk8YyfsXTiGvOpO8rK/ZVbmL7aXbqfY0ns2yGzun9DmFi4dezPDE4diMrdn+RERERETag0KTtKigvJbnvtzGK0szqaxrfLlcSkwov5jcj4uOTSO8rhjm3+q/7A6LmmIHxVsiKM0MC8witX45Xa0D1mQYnhq3ltoV37XYLtoVzfmDzueiIRdpBTwRERER6TQKTdJEdlEVz3+5nde+yaLW42u0rW98ONdOGcA5o1Jx4YFv/gqLHsZTWkFFbigl28OpLghp0qfN5SNqUCSuoyfgOHoKxTEOHs/8J994t1AVgn/1iBb0j+nPxcMuZnq/6YQ5wtr7dEVEREREWqXQJIB/2fBFWwp4eWkmCzflY1mNtw9OjuLaqf2ZdkwKDrsNa+M8ql66g4qNBVTuCqGmuPmZn5ABfYmdMYOYn/wUW7j/e0Zzt83lga8eoNJZCU5/WMqIyaBvdF9SIlLoGdGTnhE9g6+Tw5O1VLiIiIiIHDIKTd2Y5fVSXFLO2ytyeP2bbLKLqwBwATbLItJdzZgehhmDoxkRVYpv9ScUz91A3cpFVGwpwldnA6KaduxwEH3qqcRecjFho0YFA0+lu5KHvn6I/37/3/qmNgc3j76ZS4ddqu8miYiIiMhhSaGpm9r90Sfk3TELV201E4GJ+2m/q0nNPgHHbid81CgiTjyBmLPPxplUf1Nby7JYU7iGu768i8yyzGB9elQ6j5zwCEclHPUDzkREREREpGMpNHVDld9vI3fWrwmtq/lB/TiiXURMPYXIk04l4vgJ2KOicHvdfF/6PRu3LmFT0SY2Fm1kU9Emyt3ljfY9q/9Z3Dn+TiKcET9oDCIiIiIiHU2hqZvxVVez9qpriAkEJq+x4bU7cNgMdrzg84DlAwN2p4U9xIfd5cMe4sMR4sMeHQG9B1Lxo7PIGTaYrPJssstXkv3Nf8kqzyK7PBuPz9Pi8cMd4dx93N2c2f/MzjplEREREZEfRKGpG7Esi2U3/x8xu7IAqLM5yLnmcs5IXoPZONcfmALcQI7DQVZED7KSBpIVlUiWw0ZmdQG7KrPw7nqyuWv2WhTtimZs8lhuG3sb6dHp7XxmIiIiIiIdR6GpG9ny4qtELfo4WO4xzsOIPffDnvo2a10uXo6L55OwENwElhv35EJx7gEfp3dkb4bEDWFw3GCGxA1hSNwQrYAnIiIiIl2WQlM3UfLFx7gffSi4fENM3ypS+pYA4AE+iQjnlcQUVht3oIWvuW6CksKTSI9KJz06nbSoNNKi0oJlfU9JRERERI4kCk1HspJsWPcOnmVvUvhSHjaf/8cdEuOm59hSyuw23oqN57UeseT5avBflFcvOTyZPtF9SI9ODwai9Kh0ekf11k1mRURERKTb6JKhyRjTG7gfOB2Ix//tmneB+yzLKj6IfuKA2cA5QAr+C9U+AmZblrWzvcfd2dbNvZbv8lbQ65NwEir9P+pal8Wj5znZnNyXUrz+hr76VfScNic/zvgxlwy7hCFxQw7FsEVEREREDitdLjQZY/oDS4Ak4D1gI3AscBNwujFmomVZe1rpYm8/8YF+BgELgNeBIcAVwDRjzATLsrZ1zFl0jk8TepG3ZBvDd9Rfavf0NDvfJttgb2AKiAuN48LBF3LB4AtICEvo5JGKiIiIiBy+ulxoAv6CPzDdaFnWnL2VxpjHgVuAB4GrD6Cfh/AHpscty7qtQT83Ak8GjnN6O4670yUVJnPSwvrA9ME4w9dD6m9KazAMjR/KjCEzOCPjDELsIYdimCIiIiIihzVjWdahHsMBC8wybQV2AP0ty/I12BaF/zI9AyRZllXZSj+RQD7+1Q5SLMsqb7DNBmwD+gSO0abZJmPM8tGjR49evnx5W3b/wbweL4umTCWlsACATclxVP7pVgampBEbGktcaBw9Qnpgt9kPyfhERERERDrSmDFjWLFixQrLssb80L5s+29yWJkaeJ7XMDABBILPYiAcOG4//RwHhAGLGwamQD8+YO+63FP33bGrsDvsVMx+gs1x6ZS6Ioh94FkuHn0ex6Ycy8DYgcSHxSswiYiIiIgcgK52ed7gwPPmFrZvAU7Ff9ndpz+wHwL9tMoY09JU0iFfReGsU0ezYeirrF26lgsmH32ohyMiIiIi0iV1tdAUE3gubWH73voendTPYW9oWjxD06Yc6mGIiIiIiHRZXS00HXZaukYyMAM1upOHIyIiIiIi7ayrfadp7wxQTAvb99aXdFI/IiIiIiJyhOtqoWlT4Lml7xoNDDy39F2l9u5HRERERESOcF0tNC0MPJ8aWBo8KLDk+ESgCvhqP/18BVQDEwP7NezHhn8xiYbHExERERGRbqpLhSbLsr4H5gF9gev22XwfEAG83PAeTcaYIcaYRivZWZZVAbwcaH/vPv1cH+j/47beo0lERERERI4cXXEhiGuBJcBTxpiTgQ3AePz3VNoM3LVP+w2BZ7NP/Z3AFOBWY8xI4BtgKHA2/hvf7hvKRERERESkG+pSM00QnG0aC7yIPyzdBvQHngSOsyxrzwH2sweYADwFDAj0Mx74BzAmcBwREREREenmuuJME5ZlZQNXHGDbfWeYGm4rAm4KPERERERERJrocjNNIiIiIiIinUmhSUREREREpBUKTSIiIiIiIq1QaBIREREREWmFQpOIiIiIiEgrFJpERERERERaodAkIiIiIiLSCoUmERERERGRVhjLsg71GI5Ixpg9YWFhcUOHDj3UQxERERER6XY2bNhAdXV1kWVZ8T+0L4WmDmKM2Q5EAzsO8VCGBJ43HtJRyOFK7w9pjd4f0hq9P6Q1en9Iazrr/dEXKLMsK+OHdqTQdIQzxiwHsCxrzKEeixx+9P6Q1uj9Ia3R+0Nao/eHtKYrvj/0nSYREREREZFWKDSJiIiIiIi0QqFJRERERESkFQpNIiIiIiIirVBoEhERERERaYVWzxMREREREWmFZppERERERERaodAkIiIiIiLSCoUmERERERGRVig0iYiIiIiItEKhSUREREREpBUKTSIiIiIiIq1QaBIREREREWmFQtMRyhjT2xjzgjEm1xhTa4zZYYx5whgTe6jHJh3PGBNvjLnKGPOOMWarMabaGFNqjPnSGHOlMabZP/vGmOONMf8zxhQF9lljjLnZGGPv7HOQzmWMucQYYwUeV7XQZrox5rPAe6nCGPO1MebnnT1W6RzGmJMDnyF5gd8jucaYj40xP26mrT47uhFjzDRjzDxjzM7Az3ubMeZNY8yEFtrr/XGEMcb81BgzxxjzhTGmLPC745X97HPQ74PD6feObm57BDLG9AeWAEnAe8BG4FhgKrAJmGhZ1p5DN0LpaMaYq4FngF3AQiALSAbOBWKAt4DzrQYfAMaYswP1NcAbQBFwJjAY+I9lWed35jlI5zHGpAFrATsQCfzCsqzn9mlzPTAH2IP//VEH/BToDTxmWdbtnTpo6VDGmEeAXwM7gQ+BQiARGAN8YlnWrAZt9dnRjRhjHgZm4f8seBf/e2MAcBbgAC6zLOuVBu31/jgCGWNWASOACvyfE0OAf1mWdUkL7Q/6fXDY/d6xLEuPI+wBfAxYwA371D8eqP/roR6jHh3+HjgJ/4eRbZ/6nvgDlAWc16A+GsgHaoGxDepD8QdwC7joUJ+XHh3yXjHAJ8D3wKOBn/VV+7Tpi/8X3R6gb4P6WGBrYJ8Jh/pc9Gi398QvAj/TFwFXM9udDV7rs6MbPQK/Q7xAHpC0z7apgZ/3Nr0/jvxH4Oc9MPA7ZErgZ/lKC20P+n1wOP7e0eV5R5jALNOpwA7gz/tsvgeoBC41xkR08tCkE1mWtcCyrPcty/LtU58H/DVQnNJg00/x/yvy65ZlLWvQvga4O1C8puNGLIfQjfhD9hX4Px+aMxMIAZ62LGvH3krLsoqBhwLFqztwjNJJjDEhwIP4/3Hll5Zl1e3bxrIsd4OiPju6lz74v9rxtWVZ+Q03WJa1ECjH/37YS++PI5RlWQsty9pi/X979x5r2XQHcPz7S0e8O0Ip9daiI2i1Qb2HMGhUaT1a9RYVxFtL1GPKHx6hw0jaxpSO0hT1KKoeDfWuinQEGSkytNVQrxrEI8Wvf6x12uP0nj13rjn3nrnn+0l2lrP22nev7azZe//OXnutGsnMw0jaQd9ddwyaxp9ta3rHEDfMbwIPAEsAXxntiqlvtG543m/L266mtw1R/l7gbWDzekOlcSIiJgHnABdl5r0NRZvax60dZbRw24Fyc3M98GF9d+WkiDimy/sqnjsGy9OULlKbRMSn2ldExNbA0pQn1y22D8HI2kHfXXcMmsafdWv6VJf1T9d0nVGoi/pMREwA9q8f209EXdtNZr4PPEvpq75WTyuoUVPbwhWUJwqnzKN4U/t4gfKEapWIWGKBVlJjYeOavgvMAn5LCawvBB6MiHsiov1JgueOAZKZrwEnUd6RnR0Rl0TE2RFxDXAH8HvgsLZNbB+CkbWDvrvuGDSNPxNrOrfL+lb+MqNQF/Wfc4D1gd9l5u1t+babwXM6sBFwYGa+M4+yw20fE7us18JjhZp+j/LOwFaUpwcbUm6KtwZ+3Vbec8eAycwLKYMKTaC8/3YysCfwd2BmR7c924dgZO2g7647Bk3SgIiIo4ETKKMp7jfG1dEYiohNKU+XLsjMP451fdRXWvcF7wO7Zub9mflWZj4O7E4ZJWubbkNLa/yLiO8D11IGCvkssCRlVMU5wC/ryIvSuGPQNP7MK/Ju5b8+CnVRn6jDdl4EzAa2rV0s2tluBkTtlvcLSpeH04a52XDbR7dfBLXwaP0bn9X+8jVAZr5NGZ0VyjQW4LljoETEZOBc4KbMPD4z52Tm25n5Z0pQ/Q/ghIhodbOyfQhG1g767rpj0DT+/KWm3d5ZWrum3d550jgTEcdS5jl4ghIwvThEsa7tpt5kr0n55XlOr+qpUbMU5XueBLzbNqFtUkbYBJhR8y6sn5vax0qUX5qfrzfVWri1vutuN7H/quniHeU9dwyGXWr6h84V9d//w5R7y41qtu1DMLJ20HfXHYOm8ad1IpsSER/5fiNiaWALyiglD412xTT6IuIkYBrwKCVgeqlL0btqutMQ67amjLj4YGa+t+BrqVH2HnBpl2VWLXN//dzqutfUPnbuKKOF252Ud5nW67yGVOvX9Nmaeu4YLK3RzZbvsr6V3xqq3vYhGFk76L/rzlhNiuXSuwUnt3Up3/dp9ft+BFh2HmU/CbyMExAO9AJMZejJbdekzyYZdOlpO7ixfqfHdeRPAT6kPG2aWPM8dwzQAuxVv9MXgZU71u1c28c7wHK2j8FZGN7ktvPVDvrxuhO1AhpH6gS3D1JGQboReBLYlDKH01PA5pn56tjVUL0WEQdQXtL9gNI1b6g+v89l5sy2bXajvNz7LnAV8BqwK2XYz2uBvdITxrgWEVMpXfQOzcyfdaw7CphOuYBdTfkleQ9gFcqAEieObm3VKxGxCuUasirlydMsyg3Mbvzv5ua6tvKeOwZEffp4O7A9ZSLbGygB1CRK170Ajs3Mi9q2sX2MQ/V73a1+XBHYkdK97r6a90r7dWEk7aDfrjsGTeNURKwKnEl5rLkc8ALl5PbDLLMpaxxru/ltck9mTu7YbgvgB8BmlF+AngEuA6Zn5gcLvqbqJ01BU13/NeBE4EuU7t2zKbO1Xz6a9VTv1bmYTqfc1KwEvEG5GTo7Mx8eorznjgEREYsARwLfAtajdK16jfI+0/TMvGOIbWwf48ww7jP+mplrdGwz3+2gn647Bk2SJEmS1MCBICRJkiSpgUGTJEmSJDUwaJIkSZKkBgZNkiRJktTAoEmSJEmSGhg0SZIkSVIDgyZJkiRJamDQJEmSJEkNDJokSZIkqYFBkyRJkiQ1MGiSJEmSpAYGTZIkjVBETI2IjIjJPdzHgXUfB/ZqH5KkZgZNkqS+ERGH1ADh1oYyt9QyRwzzbz5Xy6+xoOopSRosBk2SpL6RmZcCNwE7RcSRnesj4nDgq8Ctmfnj0a6fJGkwGTRJkvrNocDLwHkRsW4rMyLWAc4HXgUOHqO6SZIGkEGTJKmvZOZLlMBpCeDKiJgQEROAK2vedzPzxV7sOyK2jYhLImJ2RLwREe9ExBMRcUZELDaPbQ+IiFl1m5ci4rKIWLFL2WUj4uyIeLKWnxsRd0bElF4clyTp45kw1hWQJKlTZt4YEZdRniidXrM3BmZm5vU93PVJwOeBB4Fb9DzH7AAAA5lJREFUgMWALYCpwOSI2D4zPxhiu+OAKcDVwG3AlsBBdZtNM/PlVsGIWB24G1gDuK+WXxLYBbgtIg7LzBm9ODhJ0sgYNEmS+tWxwLbAKfXzc8DRPd7nEcCzmZntmRFxFnAqsAclMOq0M7BpZs5q22Ya5RjOAQ5pK3s5sDrw7cy8qq38MpRganpE3JSZ/1wgRyRJ+tjsnidJ6kuZ+SZwJvCJuhxe83q5zzmdAVM1raY7dtn0ivaAqZoKzAX2iYhFASLiC8A2wHXtAVPd9+vAGZSnW98c2RFIknrBJ02SpL4UEYtTusu17EnpytbLfS4JHAPsDqwDLA1EW5GVu2x6T2dGZs6NiEcpQdIk4FFgs7p6YkRMHeLvLF/TSfNdeUlSzxg0SZL61XmU94suogQeB0fEbzLz5l7sLCIWAe4CNgGeoHTDexn4dy1yBrBol827daVrDVgxsabL1XSHunSz1DCqLEkaJQZNkqS+U0eROxJ4nPK0aW3gEWBGRKyfma/0YLdfpwRMMzPzoI76rEQJmrr5dJf81uh5czvSYzJz+kgrKkkaXb7TJEnqKxGxLPBzyhOefTPzvcx8AjiNEpz8pEe7/lxNhxqdb5t5bPt/6yNiIvBF4F3gyZr9UE23GkkFJUljw6BJktRvfgp8Bjg1Mx9ry7+AMkT3HhGxbw/2+1xNJ7dnRsRawLnz2Ha/iNioI28qpVverzLzPYDMfIRyDN+IiCEn6I2IDSJihfmquSSpp+yeJ0nqGxGxH2XAh3spQdJ/ZeaHEXEA8BhwcUTcnZnPz8efPz8i3uqy7nTgZuAZ4PiI2ACYBaxGmT/plvrf3dwKPBAR1wAvUOZp2pISiJ3cUXYfyrtTl0bE0cCfgNeBVYANgfUpA0a8NB/HJknqIYMmSVJfiIjVgIuBN4D9M/PDzjKZ+WxEHAfMAC6LiB27DBE+lKZhvC/MzL9FxHaUeZUmU7rQzQHOAn4E7N2w/TTgBsq8THsDbwEzgVMy8yPBT2Y+HxFfBo6qdfoOZUj1F4HZlP8Hjw/zmCRJoyCGf62RJEmSpMHjO02SJEmS1MCgSZIkSZIaGDRJkiRJUgODJkmSJElqYNAkSZIkSQ0MmiRJkiSpgUGTJEmSJDUwaJIkSZKkBgZNkiRJktTAoEmSJEmSGhg0SZIkSVIDgyZJkiRJamDQJEmSJEkNDJokSZIkqYFBkyRJkiQ1MGiSJEmSpAYGTZIkSZLU4D+Tk+Fs2d2C7QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"image/png": {
"height": 279,
"width": 422
}
},
"output_type": "display_data"
}
],
"source": [
"fig = create_figure(sorted_data, 'plain')\n",
"Javascript('this.element.attr(\"id\", \"margin-figure\")')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sometimes it would be nice ot break the linear flow of the document by including figures in the margin. To achieve this we will need to add a css ID to the output cell so we can reference it and give it specific styling.\n",
"\n",
"This is pretty neat. I add the id _margin-figure_ to the cell and then I use my `custom.css` file to speficy the postion of the div element. My current solution is a bit hacky, but it gets the job done."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Table in the margin\n",
"\n",
"There is nothing about the code above that is speficic to figures. So we can do the same thing with tables."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.901957</td>\n",
" <td>0.814118</td>\n",
" <td>0.304787</td>\n",
" <td>0.184515</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.135993</td>\n",
" <td>0.106022</td>\n",
" <td>0.914976</td>\n",
" <td>0.000161</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.468062</td>\n",
" <td>0.923770</td>\n",
" <td>0.869499</td>\n",
" <td>0.204292</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.684688</td>\n",
" <td>0.461955</td>\n",
" <td>0.365184</td>\n",
" <td>0.302672</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.570566</td>\n",
" <td>0.361042</td>\n",
" <td>0.399439</td>\n",
" <td>0.343895</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/javascript": [
"this.element.attr(\"id\", \"margin-figure\")"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"display(HTML(pd.DataFrame(np.random.rand(5,4)).to_html()))\n",
"Javascript('this.element.attr(\"id\", \"margin-figure\")')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Creating high quality inline figures"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I often save figures by drag-and-drop rather than running `fig.savefig()`. However, if you do that you will not get the benefits of the \n",
"\n",
"One can change the default setting for iPython. Running `ipython profile create` one can creates the file `~/.ipython/profile_default/ipython_config.py` that contains all the configs, see [this](https://gist.github.com/minrk/3301035). By adding `c.InlineBackend.figure_format = 'retina'` to the file, the resolution of the inline figures is improved greatly. This also means that the figures will have the same resolution if you save them by dragging.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Styling Matplotlib figures\n",
"Below I define a function that creates a figure and returns the figure object so I can save the figure. I want to be able to compare the figures as I change the styling."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First I create the plain figure using the default styling that comes with MatplotLib."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:35.906180Z",
"start_time": "2018-07-25T08:28:35.420965Z"
}
},
"outputs": [],
"source": [
"fig = create_figure(sorted_data, 'plain')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We want out figures to have a print quality, so we will set the figure format to retina. This should make the figure look a lot sharper.\n",
"\n",
"We can alter the default parameters used by matplotlib by changing the values in the `plt.rcParams` dictionary.\n",
"\n",
"Below I will change some of the styling:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:35.928177Z",
"start_time": "2018-07-25T08:28:35.915645Z"
},
"code_folding": []
},
"outputs": [],
"source": [
"# %load matplotlib_config.py\n",
"plt.rcParams['savefig.dpi'] = 200\n",
"plt.rcParams['figure.autolayout'] = False\n",
"plt.rcParams['figure.figsize'] = 7, 4\n",
"plt.rcParams['axes.labelsize'] = 12\n",
"plt.rcParams['axes.titlesize'] = 14\n",
"plt.rcParams['xtick.labelsize'] = 12\n",
"plt.rcParams['ytick.labelsize'] = 12\n",
"plt.rcParams['font.size'] = 16\n",
"plt.rcParams['lines.linewidth'] = 2.0\n",
"plt.rcParams['lines.markersize'] = 8\n",
"plt.rcParams['legend.fontsize'] = 14\n",
"plt.rcParams['text.usetex'] = False"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets plot the figure again now that the defaults have ben changed."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:36.598201Z",
"start_time": "2018-07-25T08:28:35.930731Z"
}
},
"outputs": [],
"source": [
"fig = create_figure(sorted_data, 'new_default_parameters')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Instead of including all the code above in every notebook one can write a style sheets as explained [here](https://matplotlib.org/users/style_sheets.html). All the style sheets provided by matplotlib can be found [here](https://github.com/matplotlib/matplotlib/tree/master/lib/matplotlib/mpl-data/stylelib)\n",
"\n",
"Lets see an example of a plot that uses the custom style defined in `my_mpl_style.mplstyle`. It should be placed in `~/.connfig/matplotlib/stylelib/`."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:36.605796Z",
"start_time": "2018-07-25T08:28:36.600727Z"
}
},
"outputs": [],
"source": [
"matplotlib.get_configdir()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:36.613970Z",
"start_time": "2018-07-25T08:28:36.607767Z"
}
},
"outputs": [],
"source": [
"matplotlib.matplotlib_fname()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:37.522341Z",
"start_time": "2018-07-25T08:28:36.616669Z"
}
},
"outputs": [],
"source": [
"matplotlib.rcParams.update(matplotlib.rcParamsDefault)\n",
"matplotlib.style.reload_library()\n",
"plt.style.use('my_mpl_style')\n",
"fig = create_figure(sorted_data, 'using_mpl_style')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Auto reload files\n",
"Often I will be developing a python module while I'm writing the notebook. I will typically put functions for plotting or some pre-processing inside such a file. But this means that if I want to change I will have to manually reload the file. However, using the `autoreload` Notebook extension, I no longer have to worry about that"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:37.749254Z",
"start_time": "2018-07-25T08:28:37.657960Z"
}
},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"%aimport helperFunctions"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:37.789850Z",
"start_time": "2018-07-25T08:28:37.753002Z"
}
},
"outputs": [],
"source": [
"helperFunctions.some_function()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I then change the file and run it again below:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:37.830648Z",
"start_time": "2018-07-25T08:28:37.792071Z"
}
},
"outputs": [],
"source": [
"with open(\"helperFunctions.py\",\"a+\") as f:\n",
" f.write(\"\\n print('Now it is printing some more.')\")\n",
"f.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets run it again."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-25T08:28:37.877153Z",
"start_time": "2018-07-25T08:28:37.833138Z"
}
},
"outputs": [],
"source": [
"helperFunctions.some_function()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Cool, right?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Conclusion\n",
"I have shown how you customize you jupyter notebook by using three different config files and a CSS file. I hope you found it useful."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# References\n",
"I have found the following references useful when developing my customization.\n",
"1. [Gerrit Gruben - Leveling up your Jupyter notebook skills](https://www.youtube.com/watch?v=b8g-8T0amuk&t=335s)\n",
"1. [10 things you really should know about jupyter notebooks - Jakub Czakon](https://www.youtube.com/watch?v=FwUcJFSAfQw)\n",
"1. [Make Jupyter/IPython Notebook even more magical with cell magic extensions!](https://www.youtube.com/watch?v=zxkdO07L29Q)\n",
"1. [Style sheets in matplotlib](https://matplotlib.org/users/style_sheets.html)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
},
"toc": {
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": true,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 2
}