From 348e3fe11f5e1631a19f69ac3365a4d13aa9d538 Mon Sep 17 00:00:00 2001 From: han16nah Date: Wed, 23 Aug 2023 11:30:16 +0200 Subject: [PATCH 01/10] start dynamic tree notebook --- example_notebooks/16_trees_dynamic.ipynb | 220 +++++++++++++++++++++++ 1 file changed, 220 insertions(+) create mode 100644 example_notebooks/16_trees_dynamic.ipynb diff --git a/example_notebooks/16_trees_dynamic.ipynb b/example_notebooks/16_trees_dynamic.ipynb new file mode 100644 index 000000000..0a85b35ad --- /dev/null +++ b/example_notebooks/16_trees_dynamic.ipynb @@ -0,0 +1,220 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Terrestrial and UAV-borne Laser Scanning of Small Apple Trees with Leaf Flutter\n", + "\n", + "Notebook: Hannah Weiser, 2023\n", + "\n", + "This is a demonstration of scanning a [dynamic scene](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes), consisting of a tree with moving leaves.\n", + "\n", + "We will use the command-line access of HELIOS++ to run the simulation, and use Python just for displaying the input XMLs and the resulting point clouds." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": 2, + "outputs": [], + "source": [ + "import sys, os\n", + "from pathlib import Path\n", + "from IPython.display import Code\n", + "\n", + "current_folder = globals()['_dh'][0]\n", + "helios_path = str(Path(current_folder).parent)\n", + "sys.path.append(helios_path) # add helios-plusplus directory to PATH\n", + "import pyhelios\n", + "\n", + "from pyhelios.util.xmldisplayer import display_xml, find_playback_dir\n", + "\n", + "os.chdir(helios_path)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-08-23T09:34:16.841667Z", + "end_time": "2023-08-23T09:34:17.164671Z" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "## Scene\n", + "\n", + "The scene was generated in [Blender](https://www.blender.org/) using three add-ons:\n", + "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were separated \"By Loose Parts\" to obtain each leaf separately.\n", + "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g, Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles x, y and z will be sampled at each time step.\n", + "- [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h): This add-on allows exporting dynamic Blender scenes (i.e., scenes with rigid motions) to HELIOS++ sceneparts and scenes. It considers translations and rotations.\n", + "\n", + "Finally, further modifications were made:\n", + "- Wavefront material template library (MTL) files were modified, so they contain a `helios_classification` to create an automatic classification of the output point cloud.\n", + "\n", + "The exported scene is very large, but you can have a look [here]()." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "markdown", + "source": [ + "## Platform and Scanner\n", + "\n", + "We are performing two simulations: Terrestrial laser scanning (TLS) from a static tripod with a RIEGL VZ-400 and UAV-borne laser scanning (ULS) from a quadcopter with a RIEGL VUX-1UAV. Platforms and scanners are shown below:\n", + "\n", + "### TLS" + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": 3, + "outputs": [ + { + "data": { + "text/plain": "\n\t\t\n\t\t\n\t\n\t", + "text/html": "
<platform id="tripod" name="TLS Tripod" type="static" drag="0">\n\t\t<scannerMount x="0" y="0" z="1.5">\n\t\t</scannerMount>\n\t</platform>\n\t\n
\n", + "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}platform}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}TLS Tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{type=}\\PY{l+s}{\\PYZdq{}static\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{drag=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}scannerMount}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/scannerMount\\PYZgt{}}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/platform\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/platforms.xml', 'tripod'), language='XML')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-08-23T09:34:20.183717Z", + "end_time": "2023-08-23T09:34:20.222714Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 6, + "outputs": [ + { + "data": { + "text/plain": "\n\t\t\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\n\t\n\t", + "text/html": "
<scanner id="riegl_vz400" name="RIEGL VZ-400" accuracy_m="0.005" beamDivergence_rad="0.0003" headRotatePerSecMax_deg="60" optics="rotating" pulseFreqs_Hz="100000,300000" pulseLength_ns="5" rangeMin_m="1.5" scanAngleMax_deg="120" scanAngleEffectiveMax_deg="50" scanFreqMin_Hz="3" scanFreqMax_Hz="120">\n\t\t\n\t\t<FWFSettings beamSampleQuality="3" />\t\n\t\t<beamOrigin x="0" y="0" z="0.2">\n\t\t\t<rot axis="y" angle_deg="0" />\n\t\t\t<rot axis="z" angle_deg="0" />\n\t\t\t<rot axis="x" angle_deg="0" />\n\t\t</beamOrigin>\n\t\t<headRotateAxis x="0" y="0" z="1" />\n\t\t\n\t</scanner>\n\t\n
\n", + "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}scanner}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}RIEGL VZ\\PYZhy{}400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{accuracy\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}0.005\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{beamDivergence\\PYZus{}rad=}\\PY{l+s}{\\PYZdq{}0.0003\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotatePerSecMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}60\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{optics=}\\PY{l+s}{\\PYZdq{}rotating\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreqs\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}100000,300000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseLength\\PYZus{}ns=}\\PY{l+s}{\\PYZdq{}5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{rangeMin\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleEffectiveMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}50\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMin\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMax\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}FWFSettings}\\PY{+w}{ }\\PY{n+na}{beamSampleQuality=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}beamOrigin}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.2\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}y\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}z\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/beamOrigin\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}headRotateAxis}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/scanner\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/scanners_tls.xml', 'riegl_vz400'), language='XML')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-08-23T09:34:39.373264Z", + "end_time": "2023-08-23T09:34:39.385263Z" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "### ULS" + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": 9, + "outputs": [ + { + "data": { + "text/plain": "\n\t\t\n\t\t\t\n\t\t\n\t\n\t", + "text/html": "
<platform id="copter_linearpath" name="Quadrocopter UAV" type="linearpath">\n\t\t<scannerMount x="0" y="0" z="0.2">\n\t\t\t<rot axis="x" angle_deg="175" />\n\t\t</scannerMount>\n\t</platform>\n\t\n
\n", + "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}platform}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}copter\\PYZus{}linearpath\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}Quadrocopter UAV\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{type=}\\PY{l+s}{\\PYZdq{}linearpath\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}scannerMount}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.2\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}175\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/scannerMount\\PYZgt{}}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/platform\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/platforms.xml', 'copter_linearpath'), language='XML')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-08-23T11:27:38.102943Z", + "end_time": "2023-08-23T11:27:38.113946Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 8, + "outputs": [ + { + "data": { + "text/plain": "\n\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\n\t\t\n\t\n\t", + "text/html": "
<scanner id="riegl_vux-1uav" accuracy_m="0.01" beamDivergence_rad="0.0005" name="RIEGL VUX-1UAV" optics="rotating" pulseFreqs_Hz="50000,100000,200000,300000,380000,550000" pulseLength_ns="4" rangeMin_m="3" scanAngleMax_deg="180" scanAngleEffectiveMax_deg="165" scanFreqMin_Hz="10" scanFreqMax_Hz="200">\n\t\t\n\t\t\t<beamOrigin x="0" y="0.085" z="0.06">\t\t\t\n\t\t\t\t<rot axis="x" angle_deg="90" />\t\t\t\n\t\t\t\t<rot axis="z" angle_deg="90" />\t\t\t\n\t\t\t</beamOrigin>\n\t\t<headRotateAxis x="0" y="0" z="1" />\n\t</scanner>\n\t\n
\n", + "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}scanner}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}riegl\\PYZus{}vux\\PYZhy{}1uav\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{accuracy\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}0.01\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{beamDivergence\\PYZus{}rad=}\\PY{l+s}{\\PYZdq{}0.0005\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}RIEGL VUX\\PYZhy{}1UAV\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{optics=}\\PY{l+s}{\\PYZdq{}rotating\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreqs\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}50000,100000,200000,300000,380000,550000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseLength\\PYZus{}ns=}\\PY{l+s}{\\PYZdq{}4\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{rangeMin\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}180\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleEffectiveMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}165\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMin\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}10\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMax\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}200\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}beamOrigin}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.085\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.06\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\\PY{+w}{\t\t\t}\n\\PY{+w}{\t\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}90\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t\t\t}\n\\PY{+w}{\t\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}z\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}90\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t\t\t}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}/beamOrigin\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}headRotateAxis}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/scanner\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/scanners_als.xml', 'riegl_vux-1uav'), language='XML')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-08-23T11:27:33.746987Z", + "end_time": "2023-08-23T11:27:33.771988Z" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} From fd7be2a14d6c38a1ea5d80d5d2ce39665cb0a49c Mon Sep 17 00:00:00 2001 From: han16nah Date: Thu, 24 Aug 2023 16:17:41 +0200 Subject: [PATCH 02/10] add survey files for demo survey --- data/sceneparts/tree10/leafwood.mtl | 15 + data/sceneparts/tree10/leaves.001.obj | 21 + data/sceneparts/tree10/leaves.002.obj | 21 + data/sceneparts/tree10/leaves.003.obj | 21 + data/sceneparts/tree10/leaves.004.obj | 21 + data/sceneparts/tree10/leaves.005.obj | 21 + data/sceneparts/tree10/leaves.006.obj | 21 + data/sceneparts/tree10/leaves.007.obj | 21 + data/sceneparts/tree10/leaves.008.obj | 21 + data/sceneparts/tree10/leaves.009.obj | 21 + data/sceneparts/tree10/leaves.010.obj | 21 + data/sceneparts/tree10/leaves.011.obj | 21 + data/sceneparts/tree10/leaves.012.obj | 21 + data/sceneparts/tree10/leaves.013.obj | 21 + data/sceneparts/tree10/leaves.014.obj | 21 + data/sceneparts/tree10/leaves.015.obj | 21 + data/sceneparts/tree10/leaves.016.obj | 21 + data/sceneparts/tree10/leaves.017.obj | 21 + data/sceneparts/tree10/leaves.018.obj | 21 + data/sceneparts/tree10/leaves.019.obj | 21 + data/sceneparts/tree10/leaves.020.obj | 21 + data/sceneparts/tree10/leaves.021.obj | 21 + data/sceneparts/tree10/leaves.022.obj | 22 + data/sceneparts/tree10/leaves.023.obj | 21 + data/sceneparts/tree10/leaves.024.obj | 21 + data/sceneparts/tree10/leaves.025.obj | 21 + data/sceneparts/tree10/leaves.026.obj | 21 + data/sceneparts/tree10/leaves.027.obj | 21 + data/sceneparts/tree10/leaves.028.obj | 21 + data/sceneparts/tree10/leaves.029.obj | 21 + data/sceneparts/tree10/leaves.030.obj | 21 + data/sceneparts/tree10/leaves.031.obj | 21 + data/sceneparts/tree10/leaves.032.obj | 21 + data/sceneparts/tree10/leaves.033.obj | 21 + data/sceneparts/tree10/leaves.034.obj | 21 + data/sceneparts/tree10/leaves.035.obj | 21 + data/sceneparts/tree10/leaves.036.obj | 21 + data/sceneparts/tree10/leaves.037.obj | 21 + data/sceneparts/tree10/leaves.038.obj | 21 + data/sceneparts/tree10/leaves.039.obj | 21 + data/sceneparts/tree10/leaves.040.obj | 21 + data/sceneparts/tree10/leaves.041.obj | 21 + data/sceneparts/tree10/leaves.042.obj | 21 + data/sceneparts/tree10/leaves.043.obj | 21 + data/sceneparts/tree10/leaves.044.obj | 21 + data/sceneparts/tree10/leaves.045.obj | 21 + data/sceneparts/tree10/leaves.046.obj | 21 + data/sceneparts/tree10/leaves.047.obj | 21 + data/sceneparts/tree10/leaves.048.obj | 21 + data/sceneparts/tree10/leaves.049.obj | 22 + data/sceneparts/tree10/leaves.050.obj | 21 + data/sceneparts/tree10/leaves.051.obj | 21 + data/sceneparts/tree10/leaves.052.obj | 21 + data/sceneparts/tree10/leaves.053.obj | 21 + data/sceneparts/tree10/leaves.054.obj | 21 + data/sceneparts/tree10/leaves.055.obj | 21 + data/sceneparts/tree10/leaves.056.obj | 21 + data/sceneparts/tree10/leaves.057.obj | 21 + data/sceneparts/tree10/leaves.058.obj | 21 + data/sceneparts/tree10/leaves.059.obj | 21 + data/sceneparts/tree10/leaves.060.obj | 21 + data/sceneparts/tree10/leaves.061.obj | 21 + data/sceneparts/tree10/leaves.062.obj | 21 + data/sceneparts/tree10/leaves.063.obj | 21 + data/sceneparts/tree10/leaves.064.obj | 21 + data/sceneparts/tree10/leaves.065.obj | 21 + data/sceneparts/tree10/leaves.066.obj | 21 + data/sceneparts/tree10/leaves.067.obj | 21 + data/sceneparts/tree10/leaves.068.obj | 21 + data/sceneparts/tree10/leaves.069.obj | 21 + data/sceneparts/tree10/leaves.070.obj | 21 + data/sceneparts/tree10/leaves.071.obj | 21 + data/sceneparts/tree10/leaves.072.obj | 21 + data/sceneparts/tree10/leaves.073.obj | 21 + data/sceneparts/tree10/leaves.074.obj | 21 + data/sceneparts/tree10/leaves.075.obj | 21 + data/sceneparts/tree10/leaves.076.obj | 21 + data/sceneparts/tree10/leaves.077.obj | 21 + data/sceneparts/tree10/leaves.078.obj | 21 + data/sceneparts/tree10/leaves.079.obj | 21 + data/sceneparts/tree10/leaves.080.obj | 21 + data/sceneparts/tree10/leaves.081.obj | 21 + data/sceneparts/tree10/leaves.082.obj | 21 + data/sceneparts/tree10/leaves.083.obj | 21 + data/sceneparts/tree10/leaves.084.obj | 21 + data/sceneparts/tree10/leaves.085.obj | 21 + data/sceneparts/tree10/leaves.086.obj | 21 + data/sceneparts/tree10/leaves.087.obj | 21 + data/sceneparts/tree10/leaves.088.obj | 21 + data/sceneparts/tree10/leaves.089.obj | 21 + data/sceneparts/tree10/leaves.090.obj | 21 + data/sceneparts/tree10/leaves.091.obj | 21 + data/sceneparts/tree10/leaves.092.obj | 21 + data/sceneparts/tree10/leaves.093.obj | 21 + data/sceneparts/tree10/leaves.094.obj | 21 + data/sceneparts/tree10/leaves.095.obj | 21 + data/sceneparts/tree10/leaves.096.obj | 21 + data/sceneparts/tree10/leaves.097.obj | 21 + data/sceneparts/tree10/leaves.098.obj | 21 + data/sceneparts/tree10/leaves.099.obj | 21 + data/sceneparts/tree10/leaves.100.obj | 21 + data/sceneparts/tree10/leaves.101.obj | 21 + data/sceneparts/tree10/leaves.102.obj | 21 + data/sceneparts/tree10/leaves.103.obj | 21 + data/sceneparts/tree10/leaves.104.obj | 21 + data/sceneparts/tree10/leaves.105.obj | 21 + data/sceneparts/tree10/leaves.106.obj | 21 + data/sceneparts/tree10/leaves.107.obj | 21 + data/sceneparts/tree10/leaves.108.obj | 21 + data/sceneparts/tree10/leaves.109.obj | 21 + data/sceneparts/tree10/leaves.110.obj | 21 + data/sceneparts/tree10/leaves.111.obj | 21 + data/sceneparts/tree10/leaves.112.obj | 21 + data/sceneparts/tree10/leaves.113.obj | 21 + data/sceneparts/tree10/leaves.114.obj | 21 + data/sceneparts/tree10/leaves.115.obj | 21 + data/sceneparts/tree10/leaves.116.obj | 21 + data/sceneparts/tree10/leaves.117.obj | 21 + data/sceneparts/tree10/leaves.118.obj | 21 + data/sceneparts/tree10/leaves.119.obj | 21 + data/sceneparts/tree10/leaves.120.obj | 21 + data/sceneparts/tree10/leaves.121.obj | 21 + data/sceneparts/tree10/leaves.122.obj | 21 + data/sceneparts/tree10/leaves.123.obj | 21 + data/sceneparts/tree10/leaves.124.obj | 21 + data/sceneparts/tree10/leaves.125.obj | 21 + data/sceneparts/tree10/leaves.126.obj | 21 + data/sceneparts/tree10/leaves.127.obj | 21 + data/sceneparts/tree10/leaves.128.obj | 21 + data/sceneparts/tree10/leaves.129.obj | 21 + data/sceneparts/tree10/leaves.130.obj | 21 + data/sceneparts/tree10/leaves.131.obj | 21 + data/sceneparts/tree10/leaves.132.obj | 21 + data/sceneparts/tree10/leaves.133.obj | 21 + data/sceneparts/tree10/leaves.134.obj | 21 + data/sceneparts/tree10/leaves.135.obj | 21 + data/sceneparts/tree10/leaves.136.obj | 21 + data/sceneparts/tree10/leaves.137.obj | 21 + data/sceneparts/tree10/leaves.138.obj | 21 + data/sceneparts/tree10/leaves.139.obj | 21 + data/sceneparts/tree10/leaves.140.obj | 21 + data/sceneparts/tree10/leaves.141.obj | 21 + data/sceneparts/tree10/leaves.142.obj | 21 + data/sceneparts/tree10/leaves.143.obj | 21 + data/sceneparts/tree10/leaves.144.obj | 21 + data/sceneparts/tree10/leaves.145.obj | 21 + data/sceneparts/tree10/leaves.146.obj | 21 + data/sceneparts/tree10/leaves.147.obj | 21 + data/sceneparts/tree10/leaves.148.obj | 21 + data/sceneparts/tree10/leaves.149.obj | 21 + data/sceneparts/tree10/leaves.150.obj | 21 + data/sceneparts/tree10/leaves.151.obj | 21 + data/sceneparts/tree10/leaves.152.obj | 21 + data/sceneparts/tree10/leaves.153.obj | 21 + data/sceneparts/tree10/leaves.154.obj | 21 + data/sceneparts/tree10/leaves.155.obj | 21 + data/sceneparts/tree10/leaves.156.obj | 21 + data/sceneparts/tree10/leaves.157.obj | 21 + data/sceneparts/tree10/leaves.158.obj | 21 + data/sceneparts/tree10/leaves.159.obj | 21 + data/sceneparts/tree10/leaves.160.obj | 21 + data/sceneparts/tree10/leaves.161.obj | 21 + data/sceneparts/tree10/leaves.162.obj | 21 + data/sceneparts/tree10/leaves.163.obj | 21 + data/sceneparts/tree10/leaves.164.obj | 21 + data/sceneparts/tree10/leaves.165.obj | 21 + data/sceneparts/tree10/leaves.166.obj | 21 + data/sceneparts/tree10/leaves.167.obj | 21 + data/sceneparts/tree10/leaves.168.obj | 21 + data/sceneparts/tree10/leaves.169.obj | 21 + data/sceneparts/tree10/leaves.170.obj | 21 + data/sceneparts/tree10/leaves.171.obj | 21 + data/sceneparts/tree10/leaves.172.obj | 21 + data/sceneparts/tree10/leaves.173.obj | 21 + data/sceneparts/tree10/leaves.174.obj | 21 + data/sceneparts/tree10/leaves.175.obj | 21 + data/sceneparts/tree10/leaves.176.obj | 21 + data/sceneparts/tree10/leaves.177.obj | 21 + data/sceneparts/tree10/leaves.178.obj | 21 + data/sceneparts/tree10/leaves.179.obj | 21 + data/sceneparts/tree10/leaves.180.obj | 21 + data/sceneparts/tree10/leaves.181.obj | 21 + data/sceneparts/tree10/leaves.182.obj | 21 + data/sceneparts/tree10/leaves.183.obj | 21 + data/sceneparts/tree10/leaves.184.obj | 21 + data/sceneparts/tree10/leaves.185.obj | 21 + data/sceneparts/tree10/leaves.186.obj | 21 + data/sceneparts/tree10/leaves.187.obj | 21 + data/sceneparts/tree10/leaves.188.obj | 22 + data/sceneparts/tree10/leaves.189.obj | 21 + data/sceneparts/tree10/leaves.190.obj | 21 + data/sceneparts/tree10/leaves.191.obj | 21 + data/sceneparts/tree10/leaves.192.obj | 21 + data/sceneparts/tree10/leaves.193.obj | 21 + data/sceneparts/tree10/leaves.194.obj | 21 + data/sceneparts/tree10/leaves.195.obj | 21 + data/sceneparts/tree10/leaves.196.obj | 21 + data/sceneparts/tree10/leaves.197.obj | 21 + data/sceneparts/tree10/leaves.198.obj | 21 + data/sceneparts/tree10/leaves.199.obj | 21 + data/sceneparts/tree10/leaves.200.obj | 21 + data/sceneparts/tree10/leaves.201.obj | 21 + data/sceneparts/tree10/leaves.202.obj | 21 + data/sceneparts/tree10/leaves.203.obj | 21 + data/sceneparts/tree10/leaves.204.obj | 21 + data/sceneparts/tree10/leaves.205.obj | 21 + data/sceneparts/tree10/leaves.206.obj | 21 + data/sceneparts/tree10/leaves.207.obj | 21 + data/sceneparts/tree10/leaves.208.obj | 21 + data/sceneparts/tree10/leaves.209.obj | 21 + data/sceneparts/tree10/leaves.210.obj | 21 + data/sceneparts/tree10/leaves.211.obj | 21 + data/sceneparts/tree10/leaves.212.obj | 21 + data/sceneparts/tree10/leaves.213.obj | 21 + data/sceneparts/tree10/leaves.214.obj | 21 + data/sceneparts/tree10/leaves.215.obj | 21 + data/sceneparts/tree10/leaves.216.obj | 21 + data/sceneparts/tree10/leaves.217.obj | 21 + data/sceneparts/tree10/leaves.218.obj | 21 + data/sceneparts/tree10/leaves.219.obj | 21 + data/sceneparts/tree10/leaves.220.obj | 21 + data/sceneparts/tree10/leaves.221.obj | 21 + data/sceneparts/tree10/leaves.222.obj | 21 + data/sceneparts/tree10/leaves.223.obj | 21 + data/sceneparts/tree10/leaves.224.obj | 21 + data/sceneparts/tree10/leaves.225.obj | 21 + data/sceneparts/tree10/leaves.226.obj | 21 + data/sceneparts/tree10/leaves.227.obj | 22 + data/sceneparts/tree10/leaves.228.obj | 21 + data/sceneparts/tree10/leaves.229.obj | 21 + data/sceneparts/tree10/leaves.230.obj | 21 + data/sceneparts/tree10/leaves.231.obj | 21 + data/sceneparts/tree10/leaves.232.obj | 21 + data/sceneparts/tree10/leaves.233.obj | 21 + data/sceneparts/tree10/leaves.234.obj | 21 + data/sceneparts/tree10/leaves.235.obj | 21 + data/sceneparts/tree10/leaves.236.obj | 21 + data/sceneparts/tree10/leaves.237.obj | 21 + data/sceneparts/tree10/leaves.238.obj | 21 + data/sceneparts/tree10/leaves.239.obj | 21 + data/sceneparts/tree10/leaves.240.obj | 21 + data/sceneparts/tree10/leaves.241.obj | 21 + data/sceneparts/tree10/leaves.242.obj | 21 + data/sceneparts/tree10/leaves.243.obj | 21 + data/sceneparts/tree10/leaves.244.obj | 21 + data/sceneparts/tree10/leaves.245.obj | 21 + data/sceneparts/tree10/leaves.246.obj | 21 + data/sceneparts/tree10/leaves.247.obj | 21 + data/sceneparts/tree10/leaves.248.obj | 21 + data/sceneparts/tree10/leaves.249.obj | 21 + data/sceneparts/tree10/leaves.250.obj | 21 + data/sceneparts/tree10/leaves.251.obj | 21 + data/sceneparts/tree10/leaves.252.obj | 21 + data/sceneparts/tree10/leaves.253.obj | 21 + data/sceneparts/tree10/leaves.254.obj | 22 + data/sceneparts/tree10/leaves.255.obj | 21 + data/sceneparts/tree10/leaves.256.obj | 21 + data/sceneparts/tree10/leaves.257.obj | 21 + data/sceneparts/tree10/leaves.258.obj | 21 + data/sceneparts/tree10/leaves.259.obj | 21 + data/sceneparts/tree10/leaves.260.obj | 21 + data/sceneparts/tree10/leaves.261.obj | 21 + data/sceneparts/tree10/leaves.262.obj | 21 + data/sceneparts/tree10/leaves.263.obj | 21 + data/sceneparts/tree10/leaves.264.obj | 21 + data/sceneparts/tree10/leaves.265.obj | 21 + data/sceneparts/tree10/leaves.266.obj | 21 + data/sceneparts/tree10/leaves.267.obj | 21 + data/sceneparts/tree10/leaves.268.obj | 21 + data/sceneparts/tree10/leaves.269.obj | 21 + data/sceneparts/tree10/leaves.270.obj | 21 + data/sceneparts/tree10/leaves.271.obj | 21 + data/sceneparts/tree10/leaves.272.obj | 21 + data/sceneparts/tree10/leaves.273.obj | 21 + data/sceneparts/tree10/leaves.274.obj | 21 + data/sceneparts/tree10/leaves.275.obj | 21 + data/sceneparts/tree10/leaves.276.obj | 21 + data/sceneparts/tree10/leaves.277.obj | 21 + data/sceneparts/tree10/leaves.278.obj | 21 + data/sceneparts/tree10/leaves.279.obj | 21 + data/sceneparts/tree10/leaves.280.obj | 21 + data/sceneparts/tree10/leaves.281.obj | 21 + data/sceneparts/tree10/leaves.282.obj | 21 + data/sceneparts/tree10/leaves.283.obj | 21 + data/sceneparts/tree10/leaves.284.obj | 21 + data/sceneparts/tree10/leaves.285.obj | 21 + data/sceneparts/tree10/leaves.286.obj | 21 + data/sceneparts/tree10/leaves.287.obj | 21 + data/sceneparts/tree10/leaves.288.obj | 21 + data/sceneparts/tree10/leaves.289.obj | 21 + data/sceneparts/tree10/leaves.290.obj | 21 + data/sceneparts/tree10/leaves.291.obj | 21 + data/sceneparts/tree10/leaves.292.obj | 21 + data/sceneparts/tree10/leaves.293.obj | 21 + data/sceneparts/tree10/leaves.294.obj | 21 + data/sceneparts/tree10/leaves.295.obj | 21 + data/sceneparts/tree10/leaves.296.obj | 21 + data/sceneparts/tree10/leaves.297.obj | 21 + data/sceneparts/tree10/leaves.298.obj | 22 + data/sceneparts/tree10/leaves.299.obj | 21 + data/sceneparts/tree10/leaves.300.obj | 22 + data/sceneparts/tree10/leaves.301.obj | 21 + data/sceneparts/tree10/leaves.302.obj | 22 + data/sceneparts/tree10/leaves.303.obj | 21 + data/sceneparts/tree10/leaves.304.obj | 21 + data/sceneparts/tree10/leaves.305.obj | 21 + data/sceneparts/tree10/leaves.306.obj | 21 + data/sceneparts/tree10/leaves.307.obj | 21 + data/sceneparts/tree10/leaves.308.obj | 21 + data/sceneparts/tree10/leaves.309.obj | 21 + data/sceneparts/tree10/leaves.310.obj | 21 + data/sceneparts/tree10/leaves.311.obj | 21 + data/sceneparts/tree10/leaves.312.obj | 21 + data/sceneparts/tree10/leaves.313.obj | 21 + data/sceneparts/tree10/leaves.314.obj | 21 + data/sceneparts/tree10/leaves.315.obj | 21 + data/sceneparts/tree10/leaves.316.obj | 22 + data/sceneparts/tree10/leaves.317.obj | 21 + data/sceneparts/tree10/leaves.318.obj | 21 + data/sceneparts/tree10/leaves.319.obj | 21 + data/sceneparts/tree10/leaves.320.obj | 22 + data/sceneparts/tree10/leaves.321.obj | 21 + data/sceneparts/tree10/leaves.322.obj | 21 + data/sceneparts/tree10/leaves.323.obj | 21 + data/sceneparts/tree10/leaves.324.obj | 21 + data/sceneparts/tree10/leaves.325.obj | 21 + data/sceneparts/tree10/leaves.326.obj | 21 + data/sceneparts/tree10/leaves.327.obj | 21 + data/sceneparts/tree10/leaves.328.obj | 21 + data/sceneparts/tree10/leaves.329.obj | 21 + data/sceneparts/tree10/leaves.330.obj | 21 + data/sceneparts/tree10/leaves.331.obj | 21 + data/sceneparts/tree10/leaves.332.obj | 21 + data/sceneparts/tree10/leaves.333.obj | 21 + data/sceneparts/tree10/leaves.334.obj | 21 + data/sceneparts/tree10/leaves.335.obj | 21 + data/sceneparts/tree10/leaves.336.obj | 22 + data/sceneparts/tree10/leaves.337.obj | 21 + data/sceneparts/tree10/leaves.338.obj | 21 + data/sceneparts/tree10/leaves.339.obj | 21 + data/sceneparts/tree10/leaves.340.obj | 21 + data/sceneparts/tree10/leaves.341.obj | 21 + data/sceneparts/tree10/leaves.342.obj | 22 + data/sceneparts/tree10/leaves.343.obj | 21 + data/sceneparts/tree10/leaves.344.obj | 21 + data/sceneparts/tree10/leaves.345.obj | 22 + data/sceneparts/tree10/leaves.346.obj | 21 + data/sceneparts/tree10/leaves.347.obj | 22 + data/sceneparts/tree10/leaves.348.obj | 21 + data/sceneparts/tree10/leaves.349.obj | 21 + data/sceneparts/tree10/leaves.350.obj | 21 + data/sceneparts/tree10/leaves.351.obj | 21 + data/sceneparts/tree10/leaves.352.obj | 22 + data/sceneparts/tree10/leaves.353.obj | 21 + data/sceneparts/tree10/leaves.354.obj | 21 + data/sceneparts/tree10/leaves.355.obj | 21 + data/sceneparts/tree10/leaves.356.obj | 21 + data/sceneparts/tree10/leaves.357.obj | 21 + data/sceneparts/tree10/leaves.358.obj | 21 + data/sceneparts/tree10/leaves.359.obj | 21 + data/sceneparts/tree10/leaves.360.obj | 21 + data/sceneparts/tree10/leaves.361.obj | 21 + data/sceneparts/tree10/leaves.362.obj | 22 + data/sceneparts/tree10/leaves.363.obj | 21 + data/sceneparts/tree10/leaves.364.obj | 21 + data/sceneparts/tree10/leaves.365.obj | 22 + data/sceneparts/tree10/leaves.366.obj | 21 + data/sceneparts/tree10/leaves.367.obj | 21 + data/sceneparts/tree10/leaves.368.obj | 21 + data/sceneparts/tree10/leaves.369.obj | 21 + data/sceneparts/tree10/leaves.370.obj | 21 + data/sceneparts/tree10/leaves.371.obj | 21 + data/sceneparts/tree10/leaves.372.obj | 21 + data/sceneparts/tree10/leaves.obj | 21 + data/sceneparts/tree10/tree.obj | 41166 ++++++++++++++++ data/scenes/movingtrees/tree10_a.xml | 32015 ++++++++++++ data/surveys/movingtrees_tls/tls_tree10_a.xml | 32 + 377 files changed, 81078 insertions(+) create mode 100644 data/sceneparts/tree10/leafwood.mtl create mode 100644 data/sceneparts/tree10/leaves.001.obj create mode 100644 data/sceneparts/tree10/leaves.002.obj create mode 100644 data/sceneparts/tree10/leaves.003.obj create mode 100644 data/sceneparts/tree10/leaves.004.obj create mode 100644 data/sceneparts/tree10/leaves.005.obj create mode 100644 data/sceneparts/tree10/leaves.006.obj create mode 100644 data/sceneparts/tree10/leaves.007.obj create mode 100644 data/sceneparts/tree10/leaves.008.obj create mode 100644 data/sceneparts/tree10/leaves.009.obj create mode 100644 data/sceneparts/tree10/leaves.010.obj create mode 100644 data/sceneparts/tree10/leaves.011.obj create mode 100644 data/sceneparts/tree10/leaves.012.obj create mode 100644 data/sceneparts/tree10/leaves.013.obj create mode 100644 data/sceneparts/tree10/leaves.014.obj create mode 100644 data/sceneparts/tree10/leaves.015.obj create mode 100644 data/sceneparts/tree10/leaves.016.obj create mode 100644 data/sceneparts/tree10/leaves.017.obj create mode 100644 data/sceneparts/tree10/leaves.018.obj create mode 100644 data/sceneparts/tree10/leaves.019.obj create mode 100644 data/sceneparts/tree10/leaves.020.obj create mode 100644 data/sceneparts/tree10/leaves.021.obj create mode 100644 data/sceneparts/tree10/leaves.022.obj create mode 100644 data/sceneparts/tree10/leaves.023.obj create mode 100644 data/sceneparts/tree10/leaves.024.obj create mode 100644 data/sceneparts/tree10/leaves.025.obj create mode 100644 data/sceneparts/tree10/leaves.026.obj create mode 100644 data/sceneparts/tree10/leaves.027.obj create mode 100644 data/sceneparts/tree10/leaves.028.obj create mode 100644 data/sceneparts/tree10/leaves.029.obj create mode 100644 data/sceneparts/tree10/leaves.030.obj create mode 100644 data/sceneparts/tree10/leaves.031.obj create mode 100644 data/sceneparts/tree10/leaves.032.obj create mode 100644 data/sceneparts/tree10/leaves.033.obj create mode 100644 data/sceneparts/tree10/leaves.034.obj create mode 100644 data/sceneparts/tree10/leaves.035.obj create mode 100644 data/sceneparts/tree10/leaves.036.obj create mode 100644 data/sceneparts/tree10/leaves.037.obj create mode 100644 data/sceneparts/tree10/leaves.038.obj create mode 100644 data/sceneparts/tree10/leaves.039.obj create mode 100644 data/sceneparts/tree10/leaves.040.obj create mode 100644 data/sceneparts/tree10/leaves.041.obj create mode 100644 data/sceneparts/tree10/leaves.042.obj create mode 100644 data/sceneparts/tree10/leaves.043.obj create mode 100644 data/sceneparts/tree10/leaves.044.obj create mode 100644 data/sceneparts/tree10/leaves.045.obj create mode 100644 data/sceneparts/tree10/leaves.046.obj create mode 100644 data/sceneparts/tree10/leaves.047.obj create mode 100644 data/sceneparts/tree10/leaves.048.obj create mode 100644 data/sceneparts/tree10/leaves.049.obj create mode 100644 data/sceneparts/tree10/leaves.050.obj create mode 100644 data/sceneparts/tree10/leaves.051.obj create mode 100644 data/sceneparts/tree10/leaves.052.obj create mode 100644 data/sceneparts/tree10/leaves.053.obj create mode 100644 data/sceneparts/tree10/leaves.054.obj create mode 100644 data/sceneparts/tree10/leaves.055.obj create mode 100644 data/sceneparts/tree10/leaves.056.obj create mode 100644 data/sceneparts/tree10/leaves.057.obj create mode 100644 data/sceneparts/tree10/leaves.058.obj create mode 100644 data/sceneparts/tree10/leaves.059.obj create mode 100644 data/sceneparts/tree10/leaves.060.obj create mode 100644 data/sceneparts/tree10/leaves.061.obj create mode 100644 data/sceneparts/tree10/leaves.062.obj create mode 100644 data/sceneparts/tree10/leaves.063.obj create mode 100644 data/sceneparts/tree10/leaves.064.obj create mode 100644 data/sceneparts/tree10/leaves.065.obj create mode 100644 data/sceneparts/tree10/leaves.066.obj create mode 100644 data/sceneparts/tree10/leaves.067.obj create mode 100644 data/sceneparts/tree10/leaves.068.obj create mode 100644 data/sceneparts/tree10/leaves.069.obj create mode 100644 data/sceneparts/tree10/leaves.070.obj create mode 100644 data/sceneparts/tree10/leaves.071.obj create mode 100644 data/sceneparts/tree10/leaves.072.obj create mode 100644 data/sceneparts/tree10/leaves.073.obj create mode 100644 data/sceneparts/tree10/leaves.074.obj create mode 100644 data/sceneparts/tree10/leaves.075.obj create mode 100644 data/sceneparts/tree10/leaves.076.obj create mode 100644 data/sceneparts/tree10/leaves.077.obj create mode 100644 data/sceneparts/tree10/leaves.078.obj create mode 100644 data/sceneparts/tree10/leaves.079.obj create mode 100644 data/sceneparts/tree10/leaves.080.obj create mode 100644 data/sceneparts/tree10/leaves.081.obj create mode 100644 data/sceneparts/tree10/leaves.082.obj create mode 100644 data/sceneparts/tree10/leaves.083.obj create mode 100644 data/sceneparts/tree10/leaves.084.obj create mode 100644 data/sceneparts/tree10/leaves.085.obj create mode 100644 data/sceneparts/tree10/leaves.086.obj create mode 100644 data/sceneparts/tree10/leaves.087.obj create mode 100644 data/sceneparts/tree10/leaves.088.obj create mode 100644 data/sceneparts/tree10/leaves.089.obj create mode 100644 data/sceneparts/tree10/leaves.090.obj create mode 100644 data/sceneparts/tree10/leaves.091.obj create mode 100644 data/sceneparts/tree10/leaves.092.obj create mode 100644 data/sceneparts/tree10/leaves.093.obj create mode 100644 data/sceneparts/tree10/leaves.094.obj create mode 100644 data/sceneparts/tree10/leaves.095.obj create mode 100644 data/sceneparts/tree10/leaves.096.obj create mode 100644 data/sceneparts/tree10/leaves.097.obj create mode 100644 data/sceneparts/tree10/leaves.098.obj create mode 100644 data/sceneparts/tree10/leaves.099.obj create mode 100644 data/sceneparts/tree10/leaves.100.obj create mode 100644 data/sceneparts/tree10/leaves.101.obj create mode 100644 data/sceneparts/tree10/leaves.102.obj create mode 100644 data/sceneparts/tree10/leaves.103.obj create mode 100644 data/sceneparts/tree10/leaves.104.obj create mode 100644 data/sceneparts/tree10/leaves.105.obj create mode 100644 data/sceneparts/tree10/leaves.106.obj create mode 100644 data/sceneparts/tree10/leaves.107.obj create mode 100644 data/sceneparts/tree10/leaves.108.obj create mode 100644 data/sceneparts/tree10/leaves.109.obj create mode 100644 data/sceneparts/tree10/leaves.110.obj create mode 100644 data/sceneparts/tree10/leaves.111.obj create mode 100644 data/sceneparts/tree10/leaves.112.obj create mode 100644 data/sceneparts/tree10/leaves.113.obj create mode 100644 data/sceneparts/tree10/leaves.114.obj create mode 100644 data/sceneparts/tree10/leaves.115.obj create mode 100644 data/sceneparts/tree10/leaves.116.obj create mode 100644 data/sceneparts/tree10/leaves.117.obj create mode 100644 data/sceneparts/tree10/leaves.118.obj create mode 100644 data/sceneparts/tree10/leaves.119.obj create mode 100644 data/sceneparts/tree10/leaves.120.obj create mode 100644 data/sceneparts/tree10/leaves.121.obj create mode 100644 data/sceneparts/tree10/leaves.122.obj create mode 100644 data/sceneparts/tree10/leaves.123.obj create mode 100644 data/sceneparts/tree10/leaves.124.obj create mode 100644 data/sceneparts/tree10/leaves.125.obj create mode 100644 data/sceneparts/tree10/leaves.126.obj create mode 100644 data/sceneparts/tree10/leaves.127.obj create mode 100644 data/sceneparts/tree10/leaves.128.obj create mode 100644 data/sceneparts/tree10/leaves.129.obj create mode 100644 data/sceneparts/tree10/leaves.130.obj create mode 100644 data/sceneparts/tree10/leaves.131.obj create mode 100644 data/sceneparts/tree10/leaves.132.obj create mode 100644 data/sceneparts/tree10/leaves.133.obj create mode 100644 data/sceneparts/tree10/leaves.134.obj create mode 100644 data/sceneparts/tree10/leaves.135.obj create mode 100644 data/sceneparts/tree10/leaves.136.obj create mode 100644 data/sceneparts/tree10/leaves.137.obj create mode 100644 data/sceneparts/tree10/leaves.138.obj create mode 100644 data/sceneparts/tree10/leaves.139.obj create mode 100644 data/sceneparts/tree10/leaves.140.obj create mode 100644 data/sceneparts/tree10/leaves.141.obj create mode 100644 data/sceneparts/tree10/leaves.142.obj create mode 100644 data/sceneparts/tree10/leaves.143.obj create mode 100644 data/sceneparts/tree10/leaves.144.obj create mode 100644 data/sceneparts/tree10/leaves.145.obj create mode 100644 data/sceneparts/tree10/leaves.146.obj create mode 100644 data/sceneparts/tree10/leaves.147.obj create mode 100644 data/sceneparts/tree10/leaves.148.obj create mode 100644 data/sceneparts/tree10/leaves.149.obj create mode 100644 data/sceneparts/tree10/leaves.150.obj create mode 100644 data/sceneparts/tree10/leaves.151.obj create mode 100644 data/sceneparts/tree10/leaves.152.obj create mode 100644 data/sceneparts/tree10/leaves.153.obj create mode 100644 data/sceneparts/tree10/leaves.154.obj create mode 100644 data/sceneparts/tree10/leaves.155.obj create mode 100644 data/sceneparts/tree10/leaves.156.obj create mode 100644 data/sceneparts/tree10/leaves.157.obj create mode 100644 data/sceneparts/tree10/leaves.158.obj create mode 100644 data/sceneparts/tree10/leaves.159.obj create mode 100644 data/sceneparts/tree10/leaves.160.obj create mode 100644 data/sceneparts/tree10/leaves.161.obj create mode 100644 data/sceneparts/tree10/leaves.162.obj create mode 100644 data/sceneparts/tree10/leaves.163.obj create mode 100644 data/sceneparts/tree10/leaves.164.obj create mode 100644 data/sceneparts/tree10/leaves.165.obj create mode 100644 data/sceneparts/tree10/leaves.166.obj create mode 100644 data/sceneparts/tree10/leaves.167.obj create mode 100644 data/sceneparts/tree10/leaves.168.obj create mode 100644 data/sceneparts/tree10/leaves.169.obj create mode 100644 data/sceneparts/tree10/leaves.170.obj create mode 100644 data/sceneparts/tree10/leaves.171.obj create mode 100644 data/sceneparts/tree10/leaves.172.obj create mode 100644 data/sceneparts/tree10/leaves.173.obj create mode 100644 data/sceneparts/tree10/leaves.174.obj create mode 100644 data/sceneparts/tree10/leaves.175.obj create mode 100644 data/sceneparts/tree10/leaves.176.obj create mode 100644 data/sceneparts/tree10/leaves.177.obj create mode 100644 data/sceneparts/tree10/leaves.178.obj create mode 100644 data/sceneparts/tree10/leaves.179.obj create mode 100644 data/sceneparts/tree10/leaves.180.obj create mode 100644 data/sceneparts/tree10/leaves.181.obj create mode 100644 data/sceneparts/tree10/leaves.182.obj create mode 100644 data/sceneparts/tree10/leaves.183.obj create mode 100644 data/sceneparts/tree10/leaves.184.obj create mode 100644 data/sceneparts/tree10/leaves.185.obj create mode 100644 data/sceneparts/tree10/leaves.186.obj create mode 100644 data/sceneparts/tree10/leaves.187.obj create mode 100644 data/sceneparts/tree10/leaves.188.obj create mode 100644 data/sceneparts/tree10/leaves.189.obj create mode 100644 data/sceneparts/tree10/leaves.190.obj create mode 100644 data/sceneparts/tree10/leaves.191.obj create mode 100644 data/sceneparts/tree10/leaves.192.obj create mode 100644 data/sceneparts/tree10/leaves.193.obj create mode 100644 data/sceneparts/tree10/leaves.194.obj create mode 100644 data/sceneparts/tree10/leaves.195.obj create mode 100644 data/sceneparts/tree10/leaves.196.obj create mode 100644 data/sceneparts/tree10/leaves.197.obj create mode 100644 data/sceneparts/tree10/leaves.198.obj create mode 100644 data/sceneparts/tree10/leaves.199.obj create mode 100644 data/sceneparts/tree10/leaves.200.obj create mode 100644 data/sceneparts/tree10/leaves.201.obj create mode 100644 data/sceneparts/tree10/leaves.202.obj create mode 100644 data/sceneparts/tree10/leaves.203.obj create mode 100644 data/sceneparts/tree10/leaves.204.obj create mode 100644 data/sceneparts/tree10/leaves.205.obj create mode 100644 data/sceneparts/tree10/leaves.206.obj create mode 100644 data/sceneparts/tree10/leaves.207.obj create mode 100644 data/sceneparts/tree10/leaves.208.obj create mode 100644 data/sceneparts/tree10/leaves.209.obj create mode 100644 data/sceneparts/tree10/leaves.210.obj create mode 100644 data/sceneparts/tree10/leaves.211.obj create mode 100644 data/sceneparts/tree10/leaves.212.obj create mode 100644 data/sceneparts/tree10/leaves.213.obj create mode 100644 data/sceneparts/tree10/leaves.214.obj create mode 100644 data/sceneparts/tree10/leaves.215.obj create mode 100644 data/sceneparts/tree10/leaves.216.obj create mode 100644 data/sceneparts/tree10/leaves.217.obj create mode 100644 data/sceneparts/tree10/leaves.218.obj create mode 100644 data/sceneparts/tree10/leaves.219.obj create mode 100644 data/sceneparts/tree10/leaves.220.obj create mode 100644 data/sceneparts/tree10/leaves.221.obj create mode 100644 data/sceneparts/tree10/leaves.222.obj create mode 100644 data/sceneparts/tree10/leaves.223.obj create mode 100644 data/sceneparts/tree10/leaves.224.obj create mode 100644 data/sceneparts/tree10/leaves.225.obj create mode 100644 data/sceneparts/tree10/leaves.226.obj create mode 100644 data/sceneparts/tree10/leaves.227.obj create mode 100644 data/sceneparts/tree10/leaves.228.obj create mode 100644 data/sceneparts/tree10/leaves.229.obj create mode 100644 data/sceneparts/tree10/leaves.230.obj create mode 100644 data/sceneparts/tree10/leaves.231.obj create mode 100644 data/sceneparts/tree10/leaves.232.obj create mode 100644 data/sceneparts/tree10/leaves.233.obj create mode 100644 data/sceneparts/tree10/leaves.234.obj create mode 100644 data/sceneparts/tree10/leaves.235.obj create mode 100644 data/sceneparts/tree10/leaves.236.obj create mode 100644 data/sceneparts/tree10/leaves.237.obj create mode 100644 data/sceneparts/tree10/leaves.238.obj create mode 100644 data/sceneparts/tree10/leaves.239.obj create mode 100644 data/sceneparts/tree10/leaves.240.obj create mode 100644 data/sceneparts/tree10/leaves.241.obj create mode 100644 data/sceneparts/tree10/leaves.242.obj create mode 100644 data/sceneparts/tree10/leaves.243.obj create mode 100644 data/sceneparts/tree10/leaves.244.obj create mode 100644 data/sceneparts/tree10/leaves.245.obj create mode 100644 data/sceneparts/tree10/leaves.246.obj create mode 100644 data/sceneparts/tree10/leaves.247.obj create mode 100644 data/sceneparts/tree10/leaves.248.obj create mode 100644 data/sceneparts/tree10/leaves.249.obj create mode 100644 data/sceneparts/tree10/leaves.250.obj create mode 100644 data/sceneparts/tree10/leaves.251.obj create mode 100644 data/sceneparts/tree10/leaves.252.obj create mode 100644 data/sceneparts/tree10/leaves.253.obj create mode 100644 data/sceneparts/tree10/leaves.254.obj create mode 100644 data/sceneparts/tree10/leaves.255.obj create mode 100644 data/sceneparts/tree10/leaves.256.obj create mode 100644 data/sceneparts/tree10/leaves.257.obj create mode 100644 data/sceneparts/tree10/leaves.258.obj create mode 100644 data/sceneparts/tree10/leaves.259.obj create mode 100644 data/sceneparts/tree10/leaves.260.obj create mode 100644 data/sceneparts/tree10/leaves.261.obj create mode 100644 data/sceneparts/tree10/leaves.262.obj create mode 100644 data/sceneparts/tree10/leaves.263.obj create mode 100644 data/sceneparts/tree10/leaves.264.obj create mode 100644 data/sceneparts/tree10/leaves.265.obj create mode 100644 data/sceneparts/tree10/leaves.266.obj create mode 100644 data/sceneparts/tree10/leaves.267.obj create mode 100644 data/sceneparts/tree10/leaves.268.obj create mode 100644 data/sceneparts/tree10/leaves.269.obj create mode 100644 data/sceneparts/tree10/leaves.270.obj create mode 100644 data/sceneparts/tree10/leaves.271.obj create mode 100644 data/sceneparts/tree10/leaves.272.obj create mode 100644 data/sceneparts/tree10/leaves.273.obj create mode 100644 data/sceneparts/tree10/leaves.274.obj create mode 100644 data/sceneparts/tree10/leaves.275.obj create mode 100644 data/sceneparts/tree10/leaves.276.obj create mode 100644 data/sceneparts/tree10/leaves.277.obj create mode 100644 data/sceneparts/tree10/leaves.278.obj create mode 100644 data/sceneparts/tree10/leaves.279.obj create mode 100644 data/sceneparts/tree10/leaves.280.obj create mode 100644 data/sceneparts/tree10/leaves.281.obj create mode 100644 data/sceneparts/tree10/leaves.282.obj create mode 100644 data/sceneparts/tree10/leaves.283.obj create mode 100644 data/sceneparts/tree10/leaves.284.obj create mode 100644 data/sceneparts/tree10/leaves.285.obj create mode 100644 data/sceneparts/tree10/leaves.286.obj create mode 100644 data/sceneparts/tree10/leaves.287.obj create mode 100644 data/sceneparts/tree10/leaves.288.obj create mode 100644 data/sceneparts/tree10/leaves.289.obj create mode 100644 data/sceneparts/tree10/leaves.290.obj create mode 100644 data/sceneparts/tree10/leaves.291.obj create mode 100644 data/sceneparts/tree10/leaves.292.obj create mode 100644 data/sceneparts/tree10/leaves.293.obj create mode 100644 data/sceneparts/tree10/leaves.294.obj create mode 100644 data/sceneparts/tree10/leaves.295.obj create mode 100644 data/sceneparts/tree10/leaves.296.obj create mode 100644 data/sceneparts/tree10/leaves.297.obj create mode 100644 data/sceneparts/tree10/leaves.298.obj create mode 100644 data/sceneparts/tree10/leaves.299.obj create mode 100644 data/sceneparts/tree10/leaves.300.obj create mode 100644 data/sceneparts/tree10/leaves.301.obj create mode 100644 data/sceneparts/tree10/leaves.302.obj create mode 100644 data/sceneparts/tree10/leaves.303.obj create mode 100644 data/sceneparts/tree10/leaves.304.obj create mode 100644 data/sceneparts/tree10/leaves.305.obj create mode 100644 data/sceneparts/tree10/leaves.306.obj create mode 100644 data/sceneparts/tree10/leaves.307.obj create mode 100644 data/sceneparts/tree10/leaves.308.obj create mode 100644 data/sceneparts/tree10/leaves.309.obj create mode 100644 data/sceneparts/tree10/leaves.310.obj create mode 100644 data/sceneparts/tree10/leaves.311.obj create mode 100644 data/sceneparts/tree10/leaves.312.obj create mode 100644 data/sceneparts/tree10/leaves.313.obj create mode 100644 data/sceneparts/tree10/leaves.314.obj create mode 100644 data/sceneparts/tree10/leaves.315.obj create mode 100644 data/sceneparts/tree10/leaves.316.obj create mode 100644 data/sceneparts/tree10/leaves.317.obj create mode 100644 data/sceneparts/tree10/leaves.318.obj create mode 100644 data/sceneparts/tree10/leaves.319.obj create mode 100644 data/sceneparts/tree10/leaves.320.obj create mode 100644 data/sceneparts/tree10/leaves.321.obj create mode 100644 data/sceneparts/tree10/leaves.322.obj create mode 100644 data/sceneparts/tree10/leaves.323.obj create mode 100644 data/sceneparts/tree10/leaves.324.obj create mode 100644 data/sceneparts/tree10/leaves.325.obj create mode 100644 data/sceneparts/tree10/leaves.326.obj create mode 100644 data/sceneparts/tree10/leaves.327.obj create mode 100644 data/sceneparts/tree10/leaves.328.obj create mode 100644 data/sceneparts/tree10/leaves.329.obj create mode 100644 data/sceneparts/tree10/leaves.330.obj create mode 100644 data/sceneparts/tree10/leaves.331.obj create mode 100644 data/sceneparts/tree10/leaves.332.obj create mode 100644 data/sceneparts/tree10/leaves.333.obj create mode 100644 data/sceneparts/tree10/leaves.334.obj create mode 100644 data/sceneparts/tree10/leaves.335.obj create mode 100644 data/sceneparts/tree10/leaves.336.obj create mode 100644 data/sceneparts/tree10/leaves.337.obj create mode 100644 data/sceneparts/tree10/leaves.338.obj create mode 100644 data/sceneparts/tree10/leaves.339.obj create mode 100644 data/sceneparts/tree10/leaves.340.obj create mode 100644 data/sceneparts/tree10/leaves.341.obj create mode 100644 data/sceneparts/tree10/leaves.342.obj create mode 100644 data/sceneparts/tree10/leaves.343.obj create mode 100644 data/sceneparts/tree10/leaves.344.obj create mode 100644 data/sceneparts/tree10/leaves.345.obj create mode 100644 data/sceneparts/tree10/leaves.346.obj create mode 100644 data/sceneparts/tree10/leaves.347.obj create mode 100644 data/sceneparts/tree10/leaves.348.obj create mode 100644 data/sceneparts/tree10/leaves.349.obj create mode 100644 data/sceneparts/tree10/leaves.350.obj create mode 100644 data/sceneparts/tree10/leaves.351.obj create mode 100644 data/sceneparts/tree10/leaves.352.obj create mode 100644 data/sceneparts/tree10/leaves.353.obj create mode 100644 data/sceneparts/tree10/leaves.354.obj create mode 100644 data/sceneparts/tree10/leaves.355.obj create mode 100644 data/sceneparts/tree10/leaves.356.obj create mode 100644 data/sceneparts/tree10/leaves.357.obj create mode 100644 data/sceneparts/tree10/leaves.358.obj create mode 100644 data/sceneparts/tree10/leaves.359.obj create mode 100644 data/sceneparts/tree10/leaves.360.obj create mode 100644 data/sceneparts/tree10/leaves.361.obj create mode 100644 data/sceneparts/tree10/leaves.362.obj create mode 100644 data/sceneparts/tree10/leaves.363.obj create mode 100644 data/sceneparts/tree10/leaves.364.obj create mode 100644 data/sceneparts/tree10/leaves.365.obj create mode 100644 data/sceneparts/tree10/leaves.366.obj create mode 100644 data/sceneparts/tree10/leaves.367.obj create mode 100644 data/sceneparts/tree10/leaves.368.obj create mode 100644 data/sceneparts/tree10/leaves.369.obj create mode 100644 data/sceneparts/tree10/leaves.370.obj create mode 100644 data/sceneparts/tree10/leaves.371.obj create mode 100644 data/sceneparts/tree10/leaves.372.obj create mode 100644 data/sceneparts/tree10/leaves.obj create mode 100644 data/sceneparts/tree10/tree.obj create mode 100644 data/scenes/movingtrees/tree10_a.xml create mode 100644 data/surveys/movingtrees_tls/tls_tree10_a.xml diff --git a/data/sceneparts/tree10/leafwood.mtl b/data/sceneparts/tree10/leafwood.mtl new file mode 100644 index 000000000..2dfb46452 --- /dev/null +++ b/data/sceneparts/tree10/leafwood.mtl @@ -0,0 +1,15 @@ +# Blender3D MTL File: +# Material Count: 2 +newmtl Leaves +Ka 0.05 0.4 0.05 +Kd 0.05 0.4 0.05 +Ks 0.5 0.5 0.5 +helios_classification 1 + + +newmtl TrunkAndBranches +Ka 0.2 0.2 0.05 +Kd 0.2 0.2 0.05 +Ks 0 0 0 +helios_classification 0 + diff --git a/data/sceneparts/tree10/leaves.001.obj b/data/sceneparts/tree10/leaves.001.obj new file mode 100644 index 000000000..e90830558 --- /dev/null +++ b/data/sceneparts/tree10/leaves.001.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.001 +v 0.234674 0.160122 0.764187 +v 0.262798 0.126645 0.778945 +v 0.323358 0.137702 0.829411 +v 0.265673 0.178652 0.792913 +v 0.295234 0.171179 0.814654 +v 0.292360 0.119172 0.800686 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6116 -0.1735 0.7719 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.002.obj b/data/sceneparts/tree10/leaves.002.obj new file mode 100644 index 000000000..e4c47a149 --- /dev/null +++ b/data/sceneparts/tree10/leaves.002.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.002 +v 0.239888 0.161732 0.767990 +v 0.281618 0.141661 0.774784 +v 0.335920 0.166467 0.829135 +v 0.262179 0.184960 0.801961 +v 0.294190 0.186538 0.822342 +v 0.313629 0.143239 0.795165 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4042 -0.6095 0.6820 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.003.obj b/data/sceneparts/tree10/leaves.003.obj new file mode 100644 index 000000000..f899220fb --- /dev/null +++ b/data/sceneparts/tree10/leaves.003.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.003 +v 0.244226 0.164693 0.772978 +v 0.260815 0.179142 0.800475 +v 0.270626 0.238706 0.807262 +v 0.245236 0.199586 0.768337 +v 0.254037 0.224257 0.779765 +v 0.269615 0.203813 0.811903 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.8728 0.0891 0.4798 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.004.obj b/data/sceneparts/tree10/leaves.004.obj new file mode 100644 index 000000000..9871d2710 --- /dev/null +++ b/data/sceneparts/tree10/leaves.004.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.004 +v 0.247326 0.168209 0.778117 +v 0.260989 0.157181 0.798630 +v 0.267101 0.177433 0.840126 +v 0.246847 0.185386 0.798944 +v 0.253439 0.188461 0.819614 +v 0.267580 0.160256 0.819299 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.8418 -0.4258 0.3318 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.005.obj b/data/sceneparts/tree10/leaves.005.obj new file mode 100644 index 000000000..29e67197c --- /dev/null +++ b/data/sceneparts/tree10/leaves.005.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.005 +v 0.245752 0.162667 0.771283 +v 0.311160 0.131063 0.772956 +v 0.260749 0.137677 0.764851 +v 0.274361 0.166588 0.778830 +v 0.296163 0.156053 0.779388 +v 0.282552 0.127142 0.765409 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.1934 -0.3518 0.9159 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.006.obj b/data/sceneparts/tree10/leaves.006.obj new file mode 100644 index 000000000..8e48f0bb7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.006.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.006 +v 0.249327 0.162723 0.772711 +v 0.269141 0.151216 0.762984 +v 0.306895 0.170175 0.755301 +v 0.267892 0.179198 0.770831 +v 0.287081 0.181683 0.765028 +v 0.288330 0.153700 0.757181 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3095 -0.2439 0.9191 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.007.obj b/data/sceneparts/tree10/leaves.007.obj new file mode 100644 index 000000000..4f2a617bd --- /dev/null +++ b/data/sceneparts/tree10/leaves.007.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.007 +v 0.236816 0.009789 0.679890 +v 0.356427 0.053329 0.631402 +v 0.292006 0.000618 0.680252 +v 0.261366 0.047986 0.647203 +v 0.301237 0.062500 0.631040 +v 0.331877 0.015132 0.664089 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0963 0.6107 0.7860 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.008.obj b/data/sceneparts/tree10/leaves.008.obj new file mode 100644 index 000000000..d06aebb6f --- /dev/null +++ b/data/sceneparts/tree10/leaves.008.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.008 +v 0.242674 0.008379 0.678270 +v 0.265096 -0.027605 0.668487 +v 0.339851 -0.033335 0.672063 +v 0.285037 0.016553 0.683915 +v 0.317429 0.002648 0.681846 +v 0.297489 -0.041510 0.666418 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0686 -0.3013 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.009.obj b/data/sceneparts/tree10/leaves.009.obj new file mode 100644 index 000000000..915a01d53 --- /dev/null +++ b/data/sceneparts/tree10/leaves.009.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.009 +v 0.247856 0.007132 0.676836 +v 0.257752 -0.034036 0.662954 +v 0.328917 -0.058953 0.648027 +v 0.292000 0.004243 0.671512 +v 0.319020 -0.017786 0.661909 +v 0.284773 -0.056064 0.653351 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0951 -0.2975 0.9500 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.010.obj b/data/sceneparts/tree10/leaves.010.obj new file mode 100644 index 000000000..7ddcb2275 --- /dev/null +++ b/data/sceneparts/tree10/leaves.010.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.010 +v 0.253563 0.005758 0.675257 +v 0.270030 -0.016973 0.666666 +v 0.307972 -0.036719 0.693769 +v 0.273369 0.000172 0.696189 +v 0.291506 -0.013988 0.702360 +v 0.288166 -0.031132 0.672836 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6410 -0.6300 0.4384 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.011.obj b/data/sceneparts/tree10/leaves.011.obj new file mode 100644 index 000000000..24df48747 --- /dev/null +++ b/data/sceneparts/tree10/leaves.011.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.011 +v 0.258971 0.004457 0.673761 +v 0.279674 -0.007651 0.674293 +v 0.314785 0.006731 0.690816 +v 0.275477 0.018081 0.684599 +v 0.294082 0.018839 0.690284 +v 0.298279 -0.006893 0.679978 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2537 -0.3950 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.012.obj b/data/sceneparts/tree10/leaves.012.obj new file mode 100644 index 000000000..6050c8aa8 --- /dev/null +++ b/data/sceneparts/tree10/leaves.012.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.012 +v 0.125589 0.198138 0.664772 +v 0.129741 0.242621 0.673861 +v 0.069383 0.292757 0.679211 +v 0.083966 0.216734 0.665309 +v 0.065230 0.248274 0.670122 +v 0.111005 0.274161 0.678674 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0736 -0.1930 0.9784 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.013.obj b/data/sceneparts/tree10/leaves.013.obj new file mode 100644 index 000000000..618e97657 --- /dev/null +++ b/data/sceneparts/tree10/leaves.013.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.013 +v 0.122728 0.207711 0.663388 +v 0.143687 0.231466 0.672026 +v 0.132605 0.286889 0.668288 +v 0.108354 0.236740 0.658017 +v 0.111647 0.263133 0.659651 +v 0.146979 0.257859 0.673659 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3700 -0.0113 0.9290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.014.obj b/data/sceneparts/tree10/leaves.014.obj new file mode 100644 index 000000000..7eb08e383 --- /dev/null +++ b/data/sceneparts/tree10/leaves.014.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.014 +v 0.119868 0.217283 0.662004 +v 0.125085 0.239865 0.666379 +v 0.102026 0.271421 0.655069 +v 0.102756 0.230793 0.653006 +v 0.096809 0.248839 0.650694 +v 0.119137 0.257911 0.664068 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4972 -0.0529 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.015.obj b/data/sceneparts/tree10/leaves.015.obj new file mode 100644 index 000000000..7848519e7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.015.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.015 +v 0.125589 0.198138 0.664772 +v 0.151399 0.242467 0.688577 +v 0.117634 0.333949 0.685912 +v 0.094476 0.244350 0.655060 +v 0.091824 0.289620 0.662107 +v 0.148747 0.287738 0.695624 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5047 -0.1616 0.8480 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.016.obj b/data/sceneparts/tree10/leaves.016.obj new file mode 100644 index 000000000..3fa570bce --- /dev/null +++ b/data/sceneparts/tree10/leaves.016.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.016 +v 0.129213 0.206653 0.660896 +v 0.158075 0.230065 0.668155 +v 0.157978 0.294038 0.654949 +v 0.119528 0.241497 0.649673 +v 0.129116 0.270625 0.647691 +v 0.167664 0.259194 0.666173 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3792 0.1865 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.017.obj b/data/sceneparts/tree10/leaves.017.obj new file mode 100644 index 000000000..54d14dc9b --- /dev/null +++ b/data/sceneparts/tree10/leaves.017.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.017 +v 0.129376 0.207035 0.660722 +v 0.183055 0.245504 0.643331 +v 0.137823 0.233245 0.655381 +v 0.156714 0.206471 0.654468 +v 0.174608 0.219294 0.648671 +v 0.155717 0.246068 0.649584 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.2237 0.1249 0.9666 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.018.obj b/data/sceneparts/tree10/leaves.018.obj new file mode 100644 index 000000000..bdb872985 --- /dev/null +++ b/data/sceneparts/tree10/leaves.018.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.018 +v -0.129635 0.222040 0.695516 +v -0.199441 0.347108 0.713194 +v -0.125625 0.280771 0.688558 +v -0.180181 0.246688 0.714260 +v -0.203450 0.288377 0.720153 +v -0.148894 0.322461 0.694450 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.3818 0.0830 0.9205 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.019.obj b/data/sceneparts/tree10/leaves.019.obj new file mode 100644 index 000000000..46ada2b79 --- /dev/null +++ b/data/sceneparts/tree10/leaves.019.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.019 +v -0.134166 0.226011 0.696082 +v -0.166292 0.266948 0.700517 +v -0.255442 0.263355 0.688015 +v -0.182890 0.209970 0.686269 +v -0.223315 0.222418 0.683580 +v -0.206718 0.279396 0.697828 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1278 -0.2054 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.020.obj b/data/sceneparts/tree10/leaves.020.obj new file mode 100644 index 000000000..799182444 --- /dev/null +++ b/data/sceneparts/tree10/leaves.020.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.020 +v -0.138511 0.229819 0.696626 +v -0.154875 0.277286 0.693856 +v -0.235602 0.300150 0.671833 +v -0.186874 0.229239 0.682867 +v -0.219237 0.252683 0.674603 +v -0.187239 0.300730 0.685592 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2730 -0.0380 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.021.obj b/data/sceneparts/tree10/leaves.021.obj new file mode 100644 index 000000000..8196820b0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.021.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.021 +v -0.142856 0.233626 0.697169 +v -0.176265 0.326819 0.706346 +v -0.132135 0.271907 0.706516 +v -0.175850 0.257474 0.693940 +v -0.186987 0.288538 0.696999 +v -0.143271 0.302971 0.709575 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2191 -0.1731 0.9602 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.022.obj b/data/sceneparts/tree10/leaves.022.obj new file mode 100644 index 000000000..94f25c78c --- /dev/null +++ b/data/sceneparts/tree10/leaves.022.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.022 +v -0.147201 0.237434 0.697712 +v -0.154898 0.266364 0.687390 +v -0.199531 0.277848 0.658066 +v -0.174391 0.235446 0.681603 +v -0.191834 0.248918 0.668387 +v -0.172341 0.279836 0.674175 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5116 0.1647 0.8433 +vn -0.5117 0.1647 0.8433 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.023.obj b/data/sceneparts/tree10/leaves.023.obj new file mode 100644 index 000000000..a0f5c194a --- /dev/null +++ b/data/sceneparts/tree10/leaves.023.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.023 +v -0.151547 0.241242 0.698255 +v -0.167668 0.258877 0.704446 +v -0.209668 0.252908 0.708099 +v -0.174173 0.231384 0.698626 +v -0.193546 0.235273 0.701907 +v -0.187042 0.262765 0.707728 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1170 -0.2321 0.9656 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.024.obj b/data/sceneparts/tree10/leaves.024.obj new file mode 100644 index 000000000..65c8832da --- /dev/null +++ b/data/sceneparts/tree10/leaves.024.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.024 +v 0.052641 0.214828 0.695555 +v 0.089435 0.243407 0.683057 +v 0.085631 0.326480 0.680160 +v 0.037840 0.260683 0.697789 +v 0.048837 0.297901 0.692657 +v 0.100432 0.280624 0.677926 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2886 0.0466 0.9563 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.025.obj b/data/sceneparts/tree10/leaves.025.obj new file mode 100644 index 000000000..ce2ccb83f --- /dev/null +++ b/data/sceneparts/tree10/leaves.025.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.025 +v 0.053358 0.221500 0.694643 +v 0.121991 0.320832 0.646091 +v 0.099331 0.248483 0.698570 +v 0.053140 0.260739 0.658348 +v 0.076017 0.293849 0.642164 +v 0.122209 0.281593 0.682386 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.4183 0.6155 0.6679 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.026.obj b/data/sceneparts/tree10/leaves.026.obj new file mode 100644 index 000000000..a3b8a6879 --- /dev/null +++ b/data/sceneparts/tree10/leaves.026.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.026 +v 0.053992 0.227402 0.693837 +v 0.068308 0.258421 0.675141 +v 0.035134 0.293109 0.628136 +v 0.027105 0.240188 0.668733 +v 0.020818 0.262090 0.646832 +v 0.062021 0.280324 0.653241 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3752 0.5994 0.7071 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.027.obj b/data/sceneparts/tree10/leaves.027.obj new file mode 100644 index 000000000..6c286e431 --- /dev/null +++ b/data/sceneparts/tree10/leaves.027.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.027 +v 0.054691 0.233903 0.692949 +v 0.070234 0.264650 0.696855 +v 0.030584 0.257457 0.701091 +v 0.041845 0.315353 0.711022 +v 0.065952 0.291800 0.702879 +v 0.026302 0.284607 0.707116 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1389 -0.1936 0.9712 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.028.obj b/data/sceneparts/tree10/leaves.028.obj new file mode 100644 index 000000000..3f65e8ff9 --- /dev/null +++ b/data/sceneparts/tree10/leaves.028.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.028 +v 0.055353 0.240062 0.692108 +v 0.077373 0.247540 0.683091 +v 0.083157 0.282823 0.659155 +v 0.051869 0.261092 0.679156 +v 0.061137 0.275345 0.668172 +v 0.086641 0.261794 0.672107 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1572 0.5366 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.029.obj b/data/sceneparts/tree10/leaves.029.obj new file mode 100644 index 000000000..2bf2974f5 --- /dev/null +++ b/data/sceneparts/tree10/leaves.029.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.029 +v 0.157887 0.152518 0.761720 +v 0.205134 0.110281 0.752226 +v 0.307334 0.120555 0.793083 +v 0.210271 0.173446 0.792123 +v 0.260087 0.162792 0.802577 +v 0.254950 0.099627 0.762681 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2787 -0.4966 0.8220 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.030.obj b/data/sceneparts/tree10/leaves.030.obj new file mode 100644 index 000000000..56c1f15f0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.030.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.030 +v 0.159794 0.152828 0.763160 +v 0.200618 0.146972 0.747587 +v 0.260238 0.190560 0.765718 +v 0.185932 0.183839 0.780438 +v 0.219414 0.196417 0.781290 +v 0.234099 0.159550 0.748440 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2071 -0.6036 0.7699 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.031.obj b/data/sceneparts/tree10/leaves.031.obj new file mode 100644 index 000000000..5de1f0e23 --- /dev/null +++ b/data/sceneparts/tree10/leaves.031.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.031 +v 0.161848 0.153162 0.764710 +v 0.206626 0.154906 0.775393 +v 0.173823 0.197291 0.770323 +v 0.246977 0.221971 0.789153 +v 0.235002 0.177842 0.783541 +v 0.202199 0.220227 0.778471 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2294 -0.0613 0.9714 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.032.obj b/data/sceneparts/tree10/leaves.032.obj new file mode 100644 index 000000000..da1fc7373 --- /dev/null +++ b/data/sceneparts/tree10/leaves.032.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.032 +v 0.163622 0.153451 0.766050 +v 0.204965 0.149176 0.767325 +v 0.251359 0.203839 0.769555 +v 0.180771 0.191318 0.767111 +v 0.210016 0.208114 0.768279 +v 0.234210 0.165972 0.768493 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0322 -0.0134 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.033.obj b/data/sceneparts/tree10/leaves.033.obj new file mode 100644 index 000000000..ae1ed61ae --- /dev/null +++ b/data/sceneparts/tree10/leaves.033.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.033 +v 0.165663 0.153783 0.767590 +v 0.194268 0.137822 0.747044 +v 0.255346 0.163897 0.740818 +v 0.196847 0.176486 0.770288 +v 0.226741 0.179858 0.761364 +v 0.224162 0.141194 0.738120 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2986 -0.5063 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.034.obj b/data/sceneparts/tree10/leaves.034.obj new file mode 100644 index 000000000..072034eaf --- /dev/null +++ b/data/sceneparts/tree10/leaves.034.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.034 +v 0.167477 0.154078 0.768960 +v 0.186090 0.122941 0.773385 +v 0.246928 0.119761 0.789594 +v 0.201831 0.162336 0.778291 +v 0.228315 0.150897 0.785169 +v 0.212574 0.111502 0.780263 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2583 -0.0171 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.035.obj b/data/sceneparts/tree10/leaves.035.obj new file mode 100644 index 000000000..181ded1c7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.035.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.035 +v 0.169411 0.154392 0.770420 +v 0.194229 0.151365 0.775338 +v 0.226605 0.163144 0.748039 +v 0.182722 0.163255 0.750580 +v 0.201787 0.166172 0.743120 +v 0.213294 0.154282 0.767878 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0268 0.9059 0.4226 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.036.obj b/data/sceneparts/tree10/leaves.036.obj new file mode 100644 index 000000000..1e63aa39a --- /dev/null +++ b/data/sceneparts/tree10/leaves.036.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.036 +v -0.077326 0.230536 0.721507 +v -0.126769 0.335592 0.822985 +v -0.128547 0.260539 0.743600 +v -0.059067 0.270571 0.767067 +v -0.075548 0.305589 0.800893 +v -0.145027 0.295558 0.777426 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.1268 -0.7194 0.6830 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.037.obj b/data/sceneparts/tree10/leaves.037.obj new file mode 100644 index 000000000..c3d23ae58 --- /dev/null +++ b/data/sceneparts/tree10/leaves.037.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.037 +v -0.076690 0.233963 0.723813 +v -0.071973 0.358974 0.671639 +v -0.047609 0.268072 0.690791 +v -0.102627 0.283195 0.722052 +v -0.101055 0.324865 0.704661 +v -0.046037 0.309742 0.673400 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.5326 0.3088 0.7880 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.038.obj b/data/sceneparts/tree10/leaves.038.obj new file mode 100644 index 000000000..bf1368b64 --- /dev/null +++ b/data/sceneparts/tree10/leaves.038.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.038 +v -0.076081 0.237250 0.726025 +v -0.032673 0.239409 0.732512 +v 0.003013 0.298061 0.764644 +v -0.066759 0.275631 0.745284 +v -0.040394 0.295902 0.758157 +v -0.006309 0.259679 0.745385 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1133 -0.4235 0.8988 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.039.obj b/data/sceneparts/tree10/leaves.039.obj new file mode 100644 index 000000000..c4940135d --- /dev/null +++ b/data/sceneparts/tree10/leaves.039.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.039 +v -0.075471 0.240536 0.728236 +v -0.084771 0.312466 0.773161 +v -0.058822 0.263727 0.748559 +v -0.098321 0.265300 0.737863 +v -0.101421 0.289276 0.752838 +v -0.061922 0.287703 0.763534 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2404 -0.5364 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.040.obj b/data/sceneparts/tree10/leaves.040.obj new file mode 100644 index 000000000..9a0b6aa0c --- /dev/null +++ b/data/sceneparts/tree10/leaves.040.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.040 +v -0.074862 0.243823 0.730447 +v -0.071508 0.268011 0.704221 +v -0.112901 0.312255 0.691955 +v -0.103575 0.265256 0.731013 +v -0.116255 0.288067 0.718182 +v -0.084188 0.290822 0.691390 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4728 0.6168 0.6293 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.041.obj b/data/sceneparts/tree10/leaves.041.obj new file mode 100644 index 000000000..52d7f0134 --- /dev/null +++ b/data/sceneparts/tree10/leaves.041.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.041 +v -0.074252 0.247110 0.732659 +v -0.054657 0.242258 0.752904 +v -0.040369 0.275485 0.786433 +v -0.071259 0.270878 0.748263 +v -0.059965 0.280336 0.766188 +v -0.043363 0.251716 0.770829 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.7184 -0.3163 0.6196 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.042.obj b/data/sceneparts/tree10/leaves.042.obj new file mode 100644 index 000000000..7944b314b --- /dev/null +++ b/data/sceneparts/tree10/leaves.042.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.042 +v -0.050713 -0.127816 0.745462 +v -0.096892 -0.139822 0.750212 +v -0.126033 -0.191971 0.807424 +v -0.054746 -0.158581 0.782021 +v -0.079853 -0.179965 0.802675 +v -0.121999 -0.161207 0.770866 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1343 0.7655 0.6293 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.043.obj b/data/sceneparts/tree10/leaves.043.obj new file mode 100644 index 000000000..d43ffbb7d --- /dev/null +++ b/data/sceneparts/tree10/leaves.043.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.043 +v -0.053315 -0.132069 0.746207 +v -0.084160 -0.164417 0.737088 +v -0.077232 -0.217549 0.679456 +v -0.038414 -0.156707 0.710825 +v -0.046387 -0.185201 0.688574 +v -0.092133 -0.192910 0.714838 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4661 -0.6219 0.6293 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.044.obj b/data/sceneparts/tree10/leaves.044.obj new file mode 100644 index 000000000..7e6ffaf70 --- /dev/null +++ b/data/sceneparts/tree10/leaves.044.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.044 +v -0.055890 -0.136277 0.746944 +v -0.091064 -0.139138 0.758051 +v -0.114290 -0.187784 0.792215 +v -0.059649 -0.167753 0.766019 +v -0.079116 -0.184922 0.781109 +v -0.110531 -0.156307 0.773141 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2273 0.4847 0.8446 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.045.obj b/data/sceneparts/tree10/leaves.045.obj new file mode 100644 index 000000000..0ca1a5ce9 --- /dev/null +++ b/data/sceneparts/tree10/leaves.045.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.045 +v -0.058358 -0.140309 0.747651 +v -0.069406 -0.159429 0.736412 +v -0.082559 -0.139606 0.752920 +v -0.111232 -0.167936 0.738696 +v -0.087030 -0.168638 0.733427 +v -0.100184 -0.148816 0.749935 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1595 -0.5671 0.8081 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.046.obj b/data/sceneparts/tree10/leaves.046.obj new file mode 100644 index 000000000..37ed2cf72 --- /dev/null +++ b/data/sceneparts/tree10/leaves.046.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.046 +v -0.105892 -0.243496 0.764096 +v -0.144507 -0.290733 0.749875 +v -0.115386 -0.394768 0.747077 +v -0.073606 -0.297107 0.766972 +v -0.076771 -0.347531 0.761299 +v -0.147672 -0.341157 0.744202 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2413 -0.0935 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.047.obj b/data/sceneparts/tree10/leaves.047.obj new file mode 100644 index 000000000..2f3a706f0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.047.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.047 +v -0.107001 -0.245584 0.764843 +v -0.130188 -0.261276 0.800768 +v -0.120962 -0.332867 0.831798 +v -0.093122 -0.288081 0.773554 +v -0.097776 -0.317175 0.795872 +v -0.134842 -0.290370 0.823087 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.7065 0.3561 0.6116 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.048.obj b/data/sceneparts/tree10/leaves.048.obj new file mode 100644 index 000000000..8438ef4b5 --- /dev/null +++ b/data/sceneparts/tree10/leaves.048.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.048 +v -0.108064 -0.247586 0.765560 +v -0.149175 -0.258444 0.755895 +v -0.188897 -0.311101 0.792054 +v -0.120842 -0.279070 0.792887 +v -0.147787 -0.300242 0.801719 +v -0.176119 -0.279616 0.764726 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3333 0.6915 0.6409 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.049.obj b/data/sceneparts/tree10/leaves.049.obj new file mode 100644 index 000000000..91f5c3c6d --- /dev/null +++ b/data/sceneparts/tree10/leaves.049.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.049 +v -0.109128 -0.249587 0.766276 +v -0.144543 -0.260932 0.749620 +v -0.184402 -0.313838 0.773137 +v -0.123896 -0.281076 0.787506 +v -0.148987 -0.302493 0.789793 +v -0.169634 -0.282349 0.751907 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4860 0.6337 0.6018 +vn -0.4861 0.6337 0.6018 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.050.obj b/data/sceneparts/tree10/leaves.050.obj new file mode 100644 index 000000000..4429f9182 --- /dev/null +++ b/data/sceneparts/tree10/leaves.050.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.050 +v -0.110192 -0.251589 0.766993 +v -0.114444 -0.329470 0.761190 +v -0.096598 -0.277530 0.753789 +v -0.126621 -0.277569 0.776328 +v -0.128039 -0.303530 0.774394 +v -0.098015 -0.303490 0.751855 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.5979 -0.0920 0.7963 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.051.obj b/data/sceneparts/tree10/leaves.051.obj new file mode 100644 index 000000000..854cca014 --- /dev/null +++ b/data/sceneparts/tree10/leaves.051.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.051 +v -0.111255 -0.253591 0.767709 +v -0.133486 -0.256461 0.788013 +v -0.137449 -0.295781 0.822073 +v -0.106487 -0.278847 0.783648 +v -0.115219 -0.292911 0.801770 +v -0.142217 -0.270524 0.806134 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.5384 0.5201 0.6630 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.052.obj b/data/sceneparts/tree10/leaves.052.obj new file mode 100644 index 000000000..de08053b5 --- /dev/null +++ b/data/sceneparts/tree10/leaves.052.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.052 +v 0.236003 0.139824 0.783288 +v 0.357497 0.152956 0.779541 +v 0.273809 0.171826 0.791555 +v 0.279194 0.116576 0.772522 +v 0.319692 0.120954 0.771273 +v 0.314307 0.176204 0.790306 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0637 -0.3195 0.9454 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.053.obj b/data/sceneparts/tree10/leaves.053.obj new file mode 100644 index 000000000..244d0db50 --- /dev/null +++ b/data/sceneparts/tree10/leaves.053.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.053 +v 0.241794 0.143917 0.784924 +v 0.289571 0.142683 0.773319 +v 0.333228 0.208651 0.742661 +v 0.254974 0.188307 0.768353 +v 0.285452 0.209885 0.754265 +v 0.320049 0.164261 0.759232 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2335 0.2785 0.9316 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.054.obj b/data/sceneparts/tree10/leaves.054.obj new file mode 100644 index 000000000..3f19bc02a --- /dev/null +++ b/data/sceneparts/tree10/leaves.054.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.054 +v 0.247347 0.147843 0.786493 +v 0.288597 0.173115 0.794065 +v 0.291958 0.256707 0.805717 +v 0.235838 0.195146 0.791737 +v 0.250708 0.231434 0.798145 +v 0.303467 0.209403 0.800473 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0992 -0.1335 0.9861 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.055.obj b/data/sceneparts/tree10/leaves.055.obj new file mode 100644 index 000000000..1b9e2402b --- /dev/null +++ b/data/sceneparts/tree10/leaves.055.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.055 +v 0.252900 0.151768 0.788062 +v 0.290119 0.148325 0.806217 +v 0.320991 0.199740 0.845482 +v 0.261075 0.187192 0.808186 +v 0.283772 0.203183 0.827327 +v 0.312816 0.164315 0.825357 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4351 -0.3668 0.8223 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.056.obj b/data/sceneparts/tree10/leaves.056.obj new file mode 100644 index 000000000..59e2d962e --- /dev/null +++ b/data/sceneparts/tree10/leaves.056.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.056 +v 0.258453 0.155694 0.789631 +v 0.335635 0.153605 0.795815 +v 0.285193 0.172267 0.784888 +v 0.283168 0.137727 0.798496 +v 0.308895 0.137031 0.800557 +v 0.310920 0.171571 0.786950 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0643 0.3690 0.9272 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.057.obj b/data/sceneparts/tree10/leaves.057.obj new file mode 100644 index 000000000..e6840be9a --- /dev/null +++ b/data/sceneparts/tree10/leaves.057.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.057 +v 0.264006 0.159619 0.791199 +v 0.291792 0.160243 0.803263 +v 0.307229 0.193822 0.840220 +v 0.265035 0.181797 0.811816 +v 0.279443 0.193198 0.828157 +v 0.306199 0.171644 0.819603 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2925 -0.6438 0.7071 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.058.obj b/data/sceneparts/tree10/leaves.058.obj new file mode 100644 index 000000000..e31f7ac65 --- /dev/null +++ b/data/sceneparts/tree10/leaves.058.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.058 +v 0.252150 0.037246 0.830063 +v 0.287242 0.006789 0.843370 +v 0.366746 0.028819 0.855436 +v 0.293456 0.062085 0.833672 +v 0.331654 0.059276 0.842130 +v 0.325441 0.003980 0.851828 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1988 0.1909 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.059.obj b/data/sceneparts/tree10/leaves.059.obj new file mode 100644 index 000000000..917c8690e --- /dev/null +++ b/data/sceneparts/tree10/leaves.059.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.059 +v 0.258836 0.034820 0.834502 +v 0.253460 -0.012781 0.846304 +v 0.312416 -0.059451 0.886171 +v 0.299932 0.019574 0.857146 +v 0.317792 -0.011850 0.874369 +v 0.271320 -0.044205 0.863527 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3890 0.2629 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.060.obj b/data/sceneparts/tree10/leaves.060.obj new file mode 100644 index 000000000..fbddb43e4 --- /dev/null +++ b/data/sceneparts/tree10/leaves.060.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.060 +v 0.264179 0.031110 0.839672 +v 0.261164 0.000884 0.841274 +v 0.270324 -0.027616 0.884371 +v 0.271291 0.022186 0.867869 +v 0.273339 0.002610 0.882769 +v 0.263212 -0.018692 0.856173 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.9550 0.1099 0.2756 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.061.obj b/data/sceneparts/tree10/leaves.061.obj new file mode 100644 index 000000000..cca8ded83 --- /dev/null +++ b/data/sceneparts/tree10/leaves.061.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.061 +v 0.266811 0.027926 0.843462 +v 0.277119 0.012894 0.865075 +v 0.294587 0.024430 0.839514 +v 0.323936 0.000134 0.869959 +v 0.313629 0.015166 0.848346 +v 0.296161 0.003630 0.873907 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1780 0.8456 0.5032 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.062.obj b/data/sceneparts/tree10/leaves.062.obj new file mode 100644 index 000000000..7957d04ea --- /dev/null +++ b/data/sceneparts/tree10/leaves.062.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.062 +v 0.265649 0.033188 0.838255 +v 0.340331 0.021604 0.883281 +v 0.294485 0.050032 0.852051 +v 0.286600 0.008620 0.854476 +v 0.311494 0.004759 0.869485 +v 0.319379 0.046171 0.867060 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.4944 0.1443 0.8572 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.063.obj b/data/sceneparts/tree10/leaves.063.obj new file mode 100644 index 000000000..a9780b13d --- /dev/null +++ b/data/sceneparts/tree10/leaves.063.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.063 +v 0.273510 0.032782 0.841232 +v 0.286742 0.010993 0.832183 +v 0.328047 -0.003429 0.848410 +v 0.296636 0.030429 0.855066 +v 0.314815 0.018359 0.857458 +v 0.304921 -0.001077 0.834576 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4650 -0.5654 0.6813 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.064.obj b/data/sceneparts/tree10/leaves.064.obj new file mode 100644 index 000000000..aacfb0655 --- /dev/null +++ b/data/sceneparts/tree10/leaves.064.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.064 +v -0.172062 0.134081 0.914583 +v -0.126098 0.170491 0.901081 +v -0.104285 0.258634 0.951371 +v -0.172841 0.180707 0.952610 +v -0.150248 0.222224 0.964873 +v -0.103506 0.212008 0.913344 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.5866 -0.5060 0.6324 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.065.obj b/data/sceneparts/tree10/leaves.065.obj new file mode 100644 index 000000000..d000a8d85 --- /dev/null +++ b/data/sceneparts/tree10/leaves.065.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.065 +v -0.171482 0.135666 0.916282 +v -0.196899 0.181698 0.929129 +v -0.134994 0.175627 0.917626 +v -0.154877 0.264656 0.937568 +v -0.191365 0.224695 0.936224 +v -0.129459 0.218624 0.924721 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1625 -0.1810 0.9700 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.066.obj b/data/sceneparts/tree10/leaves.066.obj new file mode 100644 index 000000000..b81c91f85 --- /dev/null +++ b/data/sceneparts/tree10/leaves.066.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.066 +v -0.170925 0.137185 0.917911 +v -0.202607 0.152678 0.932268 +v -0.161334 0.168533 0.937281 +v -0.204061 0.207446 0.968501 +v -0.172379 0.191954 0.954144 +v -0.213653 0.176098 0.949131 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1091 -0.5464 0.8304 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.067.obj b/data/sceneparts/tree10/leaves.067.obj new file mode 100644 index 000000000..5a88e626a --- /dev/null +++ b/data/sceneparts/tree10/leaves.067.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.067 +v -0.170369 0.138704 0.919541 +v -0.157094 0.134483 0.951207 +v -0.169720 0.169280 0.998017 +v -0.183211 0.163310 0.940192 +v -0.182994 0.173502 0.966351 +v -0.156877 0.144674 0.977366 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.7633 -0.5998 0.2400 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.068.obj b/data/sceneparts/tree10/leaves.068.obj new file mode 100644 index 000000000..f0c97edbf --- /dev/null +++ b/data/sceneparts/tree10/leaves.068.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.068 +v -0.169812 0.140224 0.921170 +v -0.166587 0.170517 0.917577 +v -0.140569 0.147624 0.926745 +v -0.121110 0.196764 0.924143 +v -0.150353 0.189364 0.918568 +v -0.124335 0.166471 0.927736 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2190 0.1379 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.069.obj b/data/sceneparts/tree10/leaves.069.obj new file mode 100644 index 000000000..51e441ecd --- /dev/null +++ b/data/sceneparts/tree10/leaves.069.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.069 +v -0.169255 0.141743 0.922799 +v -0.148732 0.152744 0.934734 +v -0.141833 0.197243 0.937833 +v -0.171497 0.167743 0.920886 +v -0.162357 0.186243 0.925898 +v -0.139591 0.171244 0.939746 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5103 0.0193 0.8598 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.070.obj b/data/sceneparts/tree10/leaves.070.obj new file mode 100644 index 000000000..61b2dc2f6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.070.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.070 +v -0.305714 -0.062161 0.807777 +v -0.366630 -0.073595 0.802618 +v -0.409947 -0.171715 0.799952 +v -0.314286 -0.123762 0.807719 +v -0.349030 -0.160280 0.805110 +v -0.401375 -0.110113 0.800009 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0864 0.0111 0.9962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.071.obj b/data/sceneparts/tree10/leaves.071.obj new file mode 100644 index 000000000..f07d85701 --- /dev/null +++ b/data/sceneparts/tree10/leaves.071.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.071 +v -0.311300 -0.064209 0.808153 +v -0.354246 -0.047277 0.812774 +v -0.413534 -0.084261 0.851788 +v -0.336510 -0.094509 0.832623 +v -0.370588 -0.101193 0.847168 +v -0.388324 -0.053961 0.827319 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2716 0.4577 0.8466 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.072.obj b/data/sceneparts/tree10/leaves.072.obj new file mode 100644 index 000000000..014f2f846 --- /dev/null +++ b/data/sceneparts/tree10/leaves.072.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.072 +v -0.317316 -0.066415 0.808559 +v -0.345177 -0.036858 0.810973 +v -0.414278 -0.046732 0.803588 +v -0.354096 -0.082850 0.802831 +v -0.386417 -0.076289 0.801174 +v -0.377498 -0.030297 0.809316 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0826 -0.1582 0.9840 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.073.obj b/data/sceneparts/tree10/leaves.073.obj new file mode 100644 index 000000000..178c3782a --- /dev/null +++ b/data/sceneparts/tree10/leaves.073.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.073 +v -0.322512 -0.068320 0.808909 +v -0.362110 -0.067699 0.807549 +v -0.399783 -0.102164 0.762100 +v -0.334428 -0.091504 0.779063 +v -0.360185 -0.102785 0.763460 +v -0.387867 -0.078980 0.791946 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0336 -0.7827 0.6214 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.074.obj b/data/sceneparts/tree10/leaves.074.obj new file mode 100644 index 000000000..3d046b700 --- /dev/null +++ b/data/sceneparts/tree10/leaves.074.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.074 +v -0.328489 -0.070512 0.809312 +v -0.359749 -0.067380 0.827372 +v -0.398334 -0.114969 0.839787 +v -0.343792 -0.103282 0.811569 +v -0.367074 -0.118101 0.821727 +v -0.383031 -0.082199 0.837530 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4809 -0.1653 0.8611 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.075.obj b/data/sceneparts/tree10/leaves.075.obj new file mode 100644 index 000000000..943622b5c --- /dev/null +++ b/data/sceneparts/tree10/leaves.075.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.075 +v -0.333802 -0.072460 0.809671 +v -0.355085 -0.045417 0.812766 +v -0.413806 -0.049620 0.822090 +v -0.365855 -0.084277 0.814855 +v -0.392523 -0.076663 0.818994 +v -0.381753 -0.037803 0.816905 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1561 0.0098 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.076.obj b/data/sceneparts/tree10/leaves.076.obj new file mode 100644 index 000000000..c2d41e8db --- /dev/null +++ b/data/sceneparts/tree10/leaves.076.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.076 +v -0.339466 -0.074537 0.810053 +v -0.365568 -0.070021 0.808448 +v -0.394167 -0.092904 0.780987 +v -0.349832 -0.091298 0.792279 +v -0.368066 -0.097421 0.782591 +v -0.383802 -0.076143 0.798760 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1604 -0.6697 0.7251 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.077.obj b/data/sceneparts/tree10/leaves.077.obj new file mode 100644 index 000000000..764be2033 --- /dev/null +++ b/data/sceneparts/tree10/leaves.077.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.077 +v -0.234522 -0.129441 0.872244 +v -0.200354 -0.170536 0.865081 +v -0.262266 -0.175549 0.875691 +v -0.224886 -0.260247 0.866670 +v -0.197142 -0.214138 0.863223 +v -0.259054 -0.219151 0.873833 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1711 -0.0294 0.9848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.078.obj b/data/sceneparts/tree10/leaves.078.obj new file mode 100644 index 000000000..1c7f85edd --- /dev/null +++ b/data/sceneparts/tree10/leaves.078.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.078 +v -0.236262 -0.131513 0.874466 +v -0.277864 -0.150283 0.904556 +v -0.282089 -0.236907 0.941589 +v -0.225211 -0.183005 0.889125 +v -0.240487 -0.218137 0.911500 +v -0.293140 -0.185415 0.926930 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4496 0.3325 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.079.obj b/data/sceneparts/tree10/leaves.079.obj new file mode 100644 index 000000000..b78f71fbe --- /dev/null +++ b/data/sceneparts/tree10/leaves.079.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.079 +v -0.237930 -0.133500 0.876597 +v -0.249824 -0.151558 0.915968 +v -0.281850 -0.126435 0.882824 +v -0.321650 -0.149989 0.944995 +v -0.277730 -0.157054 0.938767 +v -0.309757 -0.131931 0.905623 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.2041 0.8650 0.4584 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.080.obj b/data/sceneparts/tree10/leaves.080.obj new file mode 100644 index 000000000..e065eaeb9 --- /dev/null +++ b/data/sceneparts/tree10/leaves.080.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.080 +v -0.239598 -0.135487 0.878728 +v -0.274142 -0.133993 0.875935 +v -0.311536 -0.176500 0.895314 +v -0.253013 -0.164323 0.892577 +v -0.276992 -0.177994 0.898106 +v -0.298121 -0.147665 0.881464 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0524 0.4521 0.8904 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.081.obj b/data/sceneparts/tree10/leaves.081.obj new file mode 100644 index 000000000..f75fdbec6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.081.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.081 +v -0.241266 -0.137474 0.880858 +v -0.235318 -0.173015 0.886258 +v -0.269633 -0.151304 0.899073 +v -0.274894 -0.211530 0.916279 +v -0.246527 -0.197700 0.898065 +v -0.280843 -0.175989 0.910880 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.4548 0.2077 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.082.obj b/data/sceneparts/tree10/leaves.082.obj new file mode 100644 index 000000000..6d2fab3fc --- /dev/null +++ b/data/sceneparts/tree10/leaves.082.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.082 +v -0.242935 -0.139461 0.882989 +v -0.265792 -0.151024 0.865288 +v -0.230486 -0.150163 0.856533 +v -0.258547 -0.172858 0.816753 +v -0.235690 -0.161295 0.834454 +v -0.270996 -0.162156 0.843210 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1267 -0.8974 0.4226 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.083.obj b/data/sceneparts/tree10/leaves.083.obj new file mode 100644 index 000000000..6527d9674 --- /dev/null +++ b/data/sceneparts/tree10/leaves.083.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.083 +v -0.238174 0.136660 0.897753 +v -0.296868 0.152772 0.888107 +v -0.244273 0.196693 0.910265 +v -0.335364 0.250877 0.902052 +v -0.329265 0.190844 0.889540 +v -0.276670 0.234765 0.911698 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2168 -0.2202 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.084.obj b/data/sceneparts/tree10/leaves.084.obj new file mode 100644 index 000000000..92ddb7387 --- /dev/null +++ b/data/sceneparts/tree10/leaves.084.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.084 +v -0.243222 0.140567 0.900049 +v -0.302240 0.252696 0.904268 +v -0.244181 0.188602 0.879960 +v -0.281609 0.167284 0.922950 +v -0.301281 0.204661 0.924356 +v -0.263853 0.225978 0.881367 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.6364 0.3084 0.7070 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.085.obj b/data/sceneparts/tree10/leaves.085.obj new file mode 100644 index 000000000..3b7a3b055 --- /dev/null +++ b/data/sceneparts/tree10/leaves.085.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.085 +v -0.248659 0.144773 0.902521 +v -0.249117 0.186854 0.922576 +v -0.299458 0.208680 0.981368 +v -0.282068 0.145297 0.935030 +v -0.299001 0.166599 0.961313 +v -0.266050 0.208157 0.948858 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.6587 -0.3179 0.6820 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.086.obj b/data/sceneparts/tree10/leaves.086.obj new file mode 100644 index 000000000..c14f61c00 --- /dev/null +++ b/data/sceneparts/tree10/leaves.086.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.086 +v -0.253355 0.148406 0.904656 +v -0.283615 0.174218 0.908691 +v -0.343983 0.169009 0.875763 +v -0.283514 0.136330 0.881359 +v -0.313724 0.143198 0.871728 +v -0.313824 0.181086 0.899060 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3646 -0.5454 0.7547 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.087.obj b/data/sceneparts/tree10/leaves.087.obj new file mode 100644 index 000000000..ed5797073 --- /dev/null +++ b/data/sceneparts/tree10/leaves.087.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.087 +v -0.258757 0.152586 0.907112 +v -0.264208 0.189782 0.887367 +v -0.326372 0.228513 0.888386 +v -0.298383 0.166009 0.914373 +v -0.320921 0.191318 0.908131 +v -0.286746 0.215091 0.881125 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3129 0.4807 0.8192 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.088.obj b/data/sceneparts/tree10/leaves.088.obj new file mode 100644 index 000000000..136dc517a --- /dev/null +++ b/data/sceneparts/tree10/leaves.088.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.088 +v -0.263559 0.156301 0.909295 +v -0.255496 0.186184 0.911981 +v -0.289482 0.227319 0.906980 +v -0.288903 0.173764 0.905066 +v -0.297545 0.197437 0.904294 +v -0.264137 0.209857 0.911210 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1893 -0.0371 0.9812 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.089.obj b/data/sceneparts/tree10/leaves.089.obj new file mode 100644 index 000000000..741dc6f1b --- /dev/null +++ b/data/sceneparts/tree10/leaves.089.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.089 +v -0.268678 0.160262 0.911623 +v -0.284474 0.180753 0.911213 +v -0.327788 0.179035 0.900561 +v -0.292289 0.152286 0.904658 +v -0.311992 0.158544 0.900971 +v -0.304178 0.187011 0.907526 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2299 -0.1580 0.9603 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.090.obj b/data/sceneparts/tree10/leaves.090.obj new file mode 100644 index 000000000..92e9821c6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.090.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.090 +v -0.286364 0.009573 0.843046 +v -0.308237 0.045022 0.877579 +v -0.372246 0.023381 0.941971 +v -0.321745 -0.016670 0.874462 +v -0.350372 -0.012068 0.907438 +v -0.336864 0.049624 0.910554 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.7275 -0.1926 0.6585 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.091.obj b/data/sceneparts/tree10/leaves.091.obj new file mode 100644 index 000000000..dc8d8b328 --- /dev/null +++ b/data/sceneparts/tree10/leaves.091.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.091 +v -0.290512 0.013738 0.846542 +v -0.272678 0.044427 0.877874 +v -0.307160 0.115858 0.897344 +v -0.319445 0.051129 0.849078 +v -0.324994 0.085169 0.866012 +v -0.278227 0.078467 0.894808 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5145 -0.4477 0.7314 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.092.obj b/data/sceneparts/tree10/leaves.092.obj new file mode 100644 index 000000000..b088cc0d9 --- /dev/null +++ b/data/sceneparts/tree10/leaves.092.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.092 +v -0.294980 0.018222 0.850308 +v -0.297250 0.061291 0.857288 +v -0.354810 0.104974 0.835871 +v -0.332597 0.032988 0.833703 +v -0.352540 0.061906 0.828890 +v -0.317193 0.090208 0.852476 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4520 -0.1659 0.8765 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.093.obj b/data/sceneparts/tree10/leaves.093.obj new file mode 100644 index 000000000..d1701e886 --- /dev/null +++ b/data/sceneparts/tree10/leaves.093.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.093 +v -0.298839 0.022095 0.853560 +v -0.316205 0.050575 0.838357 +v -0.372069 0.046860 0.808958 +v -0.330294 0.010125 0.839029 +v -0.354704 0.018380 0.824162 +v -0.340615 0.058830 0.823489 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4675 0.1772 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.094.obj b/data/sceneparts/tree10/leaves.094.obj new file mode 100644 index 000000000..a00742b16 --- /dev/null +++ b/data/sceneparts/tree10/leaves.094.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.094 +v -0.303278 0.026550 0.857301 +v -0.289246 0.063092 0.854334 +v -0.327569 0.118920 0.853861 +v -0.333505 0.051589 0.857975 +v -0.341602 0.082378 0.856829 +v -0.297343 0.093882 0.853187 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0677 0.0549 0.9962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.095.obj b/data/sceneparts/tree10/leaves.095.obj new file mode 100644 index 000000000..e0cde2a5c --- /dev/null +++ b/data/sceneparts/tree10/leaves.095.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.095 +v -0.307224 0.030511 0.860627 +v -0.301307 0.062660 0.865899 +v -0.336823 0.097968 0.893369 +v -0.332873 0.043333 0.877183 +v -0.342740 0.065819 0.888097 +v -0.311173 0.085146 0.876814 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4469 -0.2243 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.096.obj b/data/sceneparts/tree10/leaves.096.obj new file mode 100644 index 000000000..b2ec01cd2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.096.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.096 +v -0.311431 0.034733 0.864173 +v -0.329340 0.053432 0.851488 +v -0.338231 0.024214 0.865718 +v -0.378495 0.047003 0.847462 +v -0.351694 0.057522 0.845917 +v -0.360586 0.028304 0.860147 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1326 0.4663 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.097.obj b/data/sceneparts/tree10/leaves.097.obj new file mode 100644 index 000000000..c7e9bba43 --- /dev/null +++ b/data/sceneparts/tree10/leaves.097.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.097 +v 0.051088 -0.107769 0.903508 +v 0.036625 -0.129541 0.946768 +v 0.083452 -0.188926 0.990158 +v 0.087127 -0.140101 0.918015 +v 0.097915 -0.167153 0.946899 +v 0.047413 -0.156594 0.975651 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4469 0.7301 0.5169 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.098.obj b/data/sceneparts/tree10/leaves.098.obj new file mode 100644 index 000000000..99aac9521 --- /dev/null +++ b/data/sceneparts/tree10/leaves.098.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.098 +v 0.052296 -0.111080 0.904692 +v 0.075482 -0.149064 0.899657 +v 0.025672 -0.145488 0.915320 +v 0.047140 -0.219668 0.913082 +v 0.023954 -0.181684 0.918117 +v 0.073763 -0.185260 0.902454 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.3033 0.0591 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.099.obj b/data/sceneparts/tree10/leaves.099.obj new file mode 100644 index 000000000..4f45e963f --- /dev/null +++ b/data/sceneparts/tree10/leaves.099.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.099 +v 0.053491 -0.114357 0.905863 +v 0.051237 -0.154366 0.897803 +v 0.107091 -0.196664 0.889881 +v 0.091479 -0.129220 0.903268 +v 0.109346 -0.156656 0.897941 +v 0.069103 -0.181801 0.892476 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0101 -0.1969 0.9804 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.100.obj b/data/sceneparts/tree10/leaves.100.obj new file mode 100644 index 000000000..95d9a6b94 --- /dev/null +++ b/data/sceneparts/tree10/leaves.100.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.100 +v 0.054636 -0.117497 0.906985 +v 0.069278 -0.127347 0.924698 +v 0.053789 -0.142409 0.905027 +v 0.075327 -0.169640 0.930617 +v 0.060686 -0.159790 0.912904 +v 0.076175 -0.144728 0.932575 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.7768 -0.0230 0.6293 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.101.obj b/data/sceneparts/tree10/leaves.101.obj new file mode 100644 index 000000000..1025defd8 --- /dev/null +++ b/data/sceneparts/tree10/leaves.101.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.101 +v 0.094167 -0.184053 0.954676 +v 0.072034 -0.222100 0.971210 +v 0.088980 -0.257896 1.041993 +v 0.112842 -0.195235 0.996353 +v 0.111113 -0.219850 1.025459 +v 0.070305 -0.246714 1.000316 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6681 0.5872 0.4569 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.102.obj b/data/sceneparts/tree10/leaves.102.obj new file mode 100644 index 000000000..7fa583591 --- /dev/null +++ b/data/sceneparts/tree10/leaves.102.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.102 +v 0.096519 -0.186484 0.958981 +v 0.141527 -0.279015 0.992903 +v 0.134769 -0.209010 0.962132 +v 0.088275 -0.225645 0.978445 +v 0.103278 -0.256489 0.989752 +v 0.149772 -0.239853 0.973439 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1677 0.4102 0.8964 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.103.obj b/data/sceneparts/tree10/leaves.103.obj new file mode 100644 index 000000000..10f29fbea --- /dev/null +++ b/data/sceneparts/tree10/leaves.103.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.103 +v 0.098599 -0.188634 0.962790 +v 0.112031 -0.214095 0.988600 +v 0.176557 -0.222524 1.003219 +v 0.137139 -0.185766 0.963932 +v 0.163125 -0.197063 0.977409 +v 0.138017 -0.225392 1.002077 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0727 0.6908 0.7193 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.104.obj b/data/sceneparts/tree10/leaves.104.obj new file mode 100644 index 000000000..2feb3da6f --- /dev/null +++ b/data/sceneparts/tree10/leaves.104.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.104 +v 0.100890 -0.191003 0.966985 +v 0.124134 -0.258586 0.962940 +v 0.124827 -0.207894 0.964497 +v 0.092449 -0.219166 0.966777 +v 0.100197 -0.241694 0.965429 +v 0.132575 -0.230422 0.963148 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0812 -0.0317 0.9962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.105.obj b/data/sceneparts/tree10/leaves.105.obj new file mode 100644 index 000000000..649a5e494 --- /dev/null +++ b/data/sceneparts/tree10/leaves.105.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.105 +v 0.103061 -0.193246 0.970959 +v 0.092511 -0.218551 0.979356 +v 0.119931 -0.256049 0.996343 +v 0.124858 -0.209810 0.979485 +v 0.130481 -0.230744 0.987946 +v 0.098134 -0.239485 0.987817 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0983 0.3501 0.9315 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.106.obj b/data/sceneparts/tree10/leaves.106.obj new file mode 100644 index 000000000..2defd5c2a --- /dev/null +++ b/data/sceneparts/tree10/leaves.106.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.106 +v 0.035489 -0.208059 0.931726 +v -0.003378 -0.248526 0.908693 +v 0.056537 -0.263738 0.943373 +v 0.008759 -0.352278 0.914646 +v -0.012288 -0.296599 0.902999 +v 0.047627 -0.311811 0.937680 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5027 -0.0092 0.8644 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.107.obj b/data/sceneparts/tree10/leaves.107.obj new file mode 100644 index 000000000..74a1bed32 --- /dev/null +++ b/data/sceneparts/tree10/leaves.107.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.107 +v 0.032651 -0.211610 0.933001 +v 0.001231 -0.242188 0.948206 +v 0.018547 -0.316173 0.973391 +v 0.054668 -0.250741 0.944723 +v 0.049967 -0.285595 0.958186 +v -0.003470 -0.277042 0.961669 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1158 0.3443 0.9317 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.108.obj b/data/sceneparts/tree10/leaves.108.obj new file mode 100644 index 000000000..f143b0270 --- /dev/null +++ b/data/sceneparts/tree10/leaves.108.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.108 +v 0.029929 -0.215015 0.934224 +v 0.027593 -0.258420 0.942349 +v -0.009578 -0.223847 0.952018 +v -0.032835 -0.293371 0.973104 +v -0.030500 -0.249966 0.964979 +v 0.006672 -0.284539 0.955309 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.3778 0.1507 0.9135 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.109.obj b/data/sceneparts/tree10/leaves.109.obj new file mode 100644 index 000000000..8077ffc10 --- /dev/null +++ b/data/sceneparts/tree10/leaves.109.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.109 +v 0.027207 -0.218420 0.935446 +v -0.053660 -0.256450 0.949494 +v 0.009912 -0.250067 0.944387 +v -0.009410 -0.212127 0.935870 +v -0.036365 -0.224803 0.940553 +v -0.017043 -0.262744 0.949070 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0532 0.2445 0.9682 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.110.obj b/data/sceneparts/tree10/leaves.110.obj new file mode 100644 index 000000000..4432ff23a --- /dev/null +++ b/data/sceneparts/tree10/leaves.110.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.110 +v 0.024485 -0.221826 0.936669 +v -0.009740 -0.229405 0.928945 +v 0.022256 -0.256500 0.927658 +v -0.030196 -0.285206 0.911567 +v -0.027967 -0.250531 0.920577 +v 0.004029 -0.277627 0.919291 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1633 -0.2383 0.9574 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.111.obj b/data/sceneparts/tree10/leaves.111.obj new file mode 100644 index 000000000..a32dd7eb6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.111.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.111 +v 0.021763 -0.225231 0.937891 +v 0.003467 -0.242959 0.939839 +v 0.010956 -0.285907 0.946318 +v 0.032854 -0.247954 0.941561 +v 0.029252 -0.268179 0.944370 +v -0.000135 -0.263184 0.942648 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0336 0.1434 0.9891 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.112.obj b/data/sceneparts/tree10/leaves.112.obj new file mode 100644 index 000000000..4b9d16cbe --- /dev/null +++ b/data/sceneparts/tree10/leaves.112.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.112 +v 0.282760 0.041911 1.020868 +v 0.325160 0.009974 0.985880 +v 0.337910 0.073509 1.022217 +v 0.429084 0.041404 0.970410 +v 0.373934 0.009805 0.969061 +v 0.386685 0.073340 1.005398 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2772 -0.5183 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.113.obj b/data/sceneparts/tree10/leaves.113.obj new file mode 100644 index 000000000..2cc1e20a2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.113.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.113 +v 0.290380 0.041638 1.021423 +v 0.306706 -0.003990 1.007240 +v 0.388743 -0.021983 0.984148 +v 0.339629 0.044852 1.010756 +v 0.372417 0.023645 0.998331 +v 0.339493 -0.025197 0.994815 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2201 -0.2169 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.114.obj b/data/sceneparts/tree10/leaves.114.obj new file mode 100644 index 000000000..e1d4808bf --- /dev/null +++ b/data/sceneparts/tree10/leaves.114.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.114 +v 0.297686 0.041377 1.021956 +v 0.387467 0.021945 0.980146 +v 0.317973 0.016204 0.996007 +v 0.337253 0.053594 1.020031 +v 0.367180 0.047117 1.006095 +v 0.347900 0.009727 0.982070 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.2242 -0.6060 0.7632 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.115.obj b/data/sceneparts/tree10/leaves.115.obj new file mode 100644 index 000000000..ee52fc85a --- /dev/null +++ b/data/sceneparts/tree10/leaves.115.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.115 +v 0.304992 0.041115 1.022488 +v 0.339577 0.023986 1.002055 +v 0.397147 0.064168 0.974743 +v 0.331844 0.073613 1.011092 +v 0.362562 0.081297 0.995177 +v 0.370295 0.031670 0.986140 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4751 -0.0855 0.8758 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.116.obj b/data/sceneparts/tree10/leaves.116.obj new file mode 100644 index 000000000..7792ca962 --- /dev/null +++ b/data/sceneparts/tree10/leaves.116.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.116 +v 0.312299 0.040854 1.023021 +v 0.325888 0.070036 1.039906 +v 0.348029 0.042348 1.016505 +v 0.386278 0.086867 1.038575 +v 0.372689 0.057685 1.021690 +v 0.350547 0.085373 1.045091 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1719 -0.5521 0.8159 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.117.obj b/data/sceneparts/tree10/leaves.117.obj new file mode 100644 index 000000000..f613a45a7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.117.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.117 +v 0.319605 0.040593 1.023554 +v 0.342092 0.030173 1.021835 +v 0.378346 0.051824 1.014529 +v 0.336279 0.058499 1.019256 +v 0.355860 0.062243 1.016248 +v 0.361672 0.033917 1.018827 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1291 0.1161 0.9848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.118.obj b/data/sceneparts/tree10/leaves.118.obj new file mode 100644 index 000000000..261147aff --- /dev/null +++ b/data/sceneparts/tree10/leaves.118.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.118 +v 0.224658 -0.107741 0.964085 +v 0.232130 -0.162419 0.957657 +v 0.314140 -0.208466 0.976088 +v 0.276841 -0.120213 0.978515 +v 0.306669 -0.153788 0.982516 +v 0.261957 -0.195994 0.961658 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2969 -0.1514 0.9428 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.119.obj b/data/sceneparts/tree10/leaves.119.obj new file mode 100644 index 000000000..680ea8fc0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.119.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.119 +v 0.226968 -0.108940 0.963888 +v 0.268821 -0.120540 0.956985 +v 0.230475 -0.152431 0.969375 +v 0.295007 -0.191576 0.961764 +v 0.253154 -0.179976 0.968667 +v 0.291500 -0.148085 0.956277 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1984 0.1384 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.120.obj b/data/sceneparts/tree10/leaves.120.obj new file mode 100644 index 000000000..95cea2fe5 --- /dev/null +++ b/data/sceneparts/tree10/leaves.120.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.120 +v 0.229011 -0.110001 0.963714 +v 0.253238 -0.138375 0.989960 +v 0.322131 -0.120210 1.023369 +v 0.266864 -0.088433 0.977237 +v 0.297904 -0.091836 0.997123 +v 0.284277 -0.141779 1.009846 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4813 0.3374 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.121.obj b/data/sceneparts/tree10/leaves.121.obj new file mode 100644 index 000000000..af99bc43d --- /dev/null +++ b/data/sceneparts/tree10/leaves.121.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.121 +v 0.231261 -0.111169 0.963521 +v 0.252565 -0.131051 0.982217 +v 0.312164 -0.127557 0.980580 +v 0.263892 -0.102213 0.956198 +v 0.290860 -0.107675 0.961884 +v 0.279532 -0.136513 0.987904 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0192 0.6739 0.7385 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.122.obj b/data/sceneparts/tree10/leaves.122.obj new file mode 100644 index 000000000..7a01f40be --- /dev/null +++ b/data/sceneparts/tree10/leaves.122.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.122 +v 0.233393 -0.112277 0.963339 +v 0.231177 -0.136568 0.964242 +v 0.263495 -0.163315 0.967863 +v 0.255677 -0.122011 0.965453 +v 0.265711 -0.139024 0.966960 +v 0.241211 -0.153581 0.965749 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0753 0.0439 0.9962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.123.obj b/data/sceneparts/tree10/leaves.123.obj new file mode 100644 index 000000000..84301f4bb --- /dev/null +++ b/data/sceneparts/tree10/leaves.123.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.123 +v 0.232425 0.090992 1.055446 +v 0.264002 0.132387 1.048700 +v 0.238637 0.218570 1.060143 +v 0.204989 0.134649 1.065324 +v 0.207060 0.177175 1.066889 +v 0.266073 0.174913 1.050266 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2691 -0.0485 0.9619 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.124.obj b/data/sceneparts/tree10/leaves.124.obj new file mode 100644 index 000000000..c991521ea --- /dev/null +++ b/data/sceneparts/tree10/leaves.124.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.124 +v 0.233831 0.094625 1.058528 +v 0.267006 0.136913 1.058528 +v 0.239219 0.225370 1.058528 +v 0.204248 0.139500 1.058528 +v 0.206044 0.183082 1.058528 +v 0.268802 0.180495 1.058528 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.125.obj b/data/sceneparts/tree10/leaves.125.obj new file mode 100644 index 000000000..49b2027fe --- /dev/null +++ b/data/sceneparts/tree10/leaves.125.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.125 +v 0.235180 0.098108 1.061483 +v 0.281225 0.091923 1.045960 +v 0.320742 0.143400 0.991845 +v 0.246176 0.134488 1.030580 +v 0.274697 0.149585 1.007368 +v 0.309745 0.107020 1.022747 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3322 0.5503 0.7660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.126.obj b/data/sceneparts/tree10/leaves.126.obj new file mode 100644 index 000000000..adaec1874 --- /dev/null +++ b/data/sceneparts/tree10/leaves.126.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.126 +v 0.236529 0.101591 1.064438 +v 0.267601 0.122436 1.054655 +v 0.283712 0.181192 1.081838 +v 0.236912 0.133814 1.085821 +v 0.252639 0.160348 1.091621 +v 0.283328 0.148970 1.060455 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.5365 -0.4710 0.7002 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.127.obj b/data/sceneparts/tree10/leaves.127.obj new file mode 100644 index 000000000..de4b9fe30 --- /dev/null +++ b/data/sceneparts/tree10/leaves.127.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.127 +v 0.237877 0.105074 1.067393 +v 0.259572 0.129224 1.062757 +v 0.249669 0.183749 1.074112 +v 0.224044 0.133374 1.076508 +v 0.227974 0.159599 1.078748 +v 0.263502 0.155449 1.064996 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3445 -0.1310 0.9296 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.128.obj b/data/sceneparts/tree10/leaves.128.obj new file mode 100644 index 000000000..73358bed3 --- /dev/null +++ b/data/sceneparts/tree10/leaves.128.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.128 +v 0.239226 0.108558 1.070348 +v 0.248458 0.129032 1.075908 +v 0.229371 0.157657 1.096141 +v 0.223424 0.120816 1.081983 +v 0.220139 0.137183 1.090581 +v 0.245173 0.145399 1.084506 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3350 -0.3846 0.8602 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.129.obj b/data/sceneparts/tree10/leaves.129.obj new file mode 100644 index 000000000..4938d1e92 --- /dev/null +++ b/data/sceneparts/tree10/leaves.129.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.129 +v -0.157695 0.074526 1.040915 +v -0.179608 0.108772 1.085478 +v -0.276812 0.102594 1.122105 +v -0.215194 0.058992 1.050478 +v -0.254900 0.068348 1.077542 +v -0.219314 0.118128 1.112542 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2955 -0.6818 0.6692 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.130.obj b/data/sceneparts/tree10/leaves.130.obj new file mode 100644 index 000000000..cf7e98c4b --- /dev/null +++ b/data/sceneparts/tree10/leaves.130.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.130 +v -0.162876 0.077757 1.043031 +v -0.152569 0.113769 1.065540 +v -0.197806 0.173560 1.073381 +v -0.196469 0.105615 1.040755 +v -0.208113 0.137549 1.050872 +v -0.164213 0.145703 1.075657 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3915 -0.4046 0.8265 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.131.obj b/data/sceneparts/tree10/leaves.131.obj new file mode 100644 index 000000000..9813fa3ce --- /dev/null +++ b/data/sceneparts/tree10/leaves.131.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.131 +v -0.168671 0.079728 1.044598 +v -0.195760 0.092043 1.027994 +v -0.244142 0.061012 1.015676 +v -0.191895 0.054936 1.041921 +v -0.217053 0.048698 1.032280 +v -0.220918 0.085804 1.018354 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4037 0.2843 0.8696 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.132.obj b/data/sceneparts/tree10/leaves.132.obj new file mode 100644 index 000000000..da48c9cf9 --- /dev/null +++ b/data/sceneparts/tree10/leaves.132.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.132 +v -0.174043 0.079867 1.045230 +v -0.203879 0.083989 1.048540 +v -0.238200 0.045624 1.057622 +v -0.186978 0.052916 1.050181 +v -0.208363 0.041502 1.054312 +v -0.225265 0.072575 1.052670 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1259 0.1205 0.9847 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.133.obj b/data/sceneparts/tree10/leaves.133.obj new file mode 100644 index 000000000..91987f8b6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.133.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.133 +v -0.167318 0.081147 1.045147 +v -0.176981 0.109638 1.057765 +v -0.225693 0.135008 1.045483 +v -0.196571 0.088562 1.032753 +v -0.216030 0.106516 1.032865 +v -0.196440 0.127592 1.057877 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4425 -0.4843 0.7547 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.134.obj b/data/sceneparts/tree10/leaves.134.obj new file mode 100644 index 000000000..ea0567d3c --- /dev/null +++ b/data/sceneparts/tree10/leaves.134.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.134 +v -0.170491 0.085967 1.047826 +v -0.171546 0.142140 1.082883 +v -0.162376 0.111926 1.048172 +v -0.179309 0.097456 1.070850 +v -0.179661 0.116180 1.082536 +v -0.162728 0.130651 1.059858 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.8462 -0.2706 0.4591 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.135.obj b/data/sceneparts/tree10/leaves.135.obj new file mode 100644 index 000000000..cfefe57b6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.135.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.135 +v -0.314864 0.054062 1.057311 +v -0.357075 0.079335 1.074758 +v -0.438971 0.042636 1.082181 +v -0.355390 0.021171 1.056444 +v -0.396759 0.017363 1.064734 +v -0.398444 0.075527 1.083048 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2136 -0.2878 0.9336 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.136.obj b/data/sceneparts/tree10/leaves.136.obj new file mode 100644 index 000000000..2a60ecb00 --- /dev/null +++ b/data/sceneparts/tree10/leaves.136.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.136 +v -0.321706 0.048162 1.060880 +v -0.360559 0.041623 1.063648 +v -0.391819 -0.014751 1.041583 +v -0.329595 0.012760 1.045248 +v -0.352966 -0.008211 1.038816 +v -0.383929 0.020652 1.057215 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1353 -0.4253 0.8949 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.137.obj b/data/sceneparts/tree10/leaves.137.obj new file mode 100644 index 000000000..d582a98b9 --- /dev/null +++ b/data/sceneparts/tree10/leaves.137.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.137 +v -0.327612 0.041345 1.064883 +v -0.350129 0.022514 1.073237 +v -0.347258 -0.030021 1.071345 +v -0.318192 0.012600 1.060837 +v -0.324741 -0.011189 1.062991 +v -0.356678 -0.001275 1.075390 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3581 -0.0140 0.9336 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.138.obj b/data/sceneparts/tree10/leaves.138.obj new file mode 100644 index 000000000..3838923a7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.138.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.138 +v -0.332215 0.036361 1.067827 +v -0.370680 -0.013989 1.068655 +v -0.357102 0.028778 1.067061 +v -0.332972 0.010378 1.069145 +v -0.345793 -0.006405 1.069421 +v -0.369923 0.011994 1.067337 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0465 0.0520 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.139.obj b/data/sceneparts/tree10/leaves.139.obj new file mode 100644 index 000000000..03c7d4533 --- /dev/null +++ b/data/sceneparts/tree10/leaves.139.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.139 +v -0.323915 0.052570 1.058657 +v -0.340289 0.096470 1.059723 +v -0.415172 0.116809 1.082415 +v -0.368379 0.051497 1.073430 +v -0.398798 0.072909 1.081349 +v -0.370708 0.117883 1.067642 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3119 0.0934 0.9455 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.140.obj b/data/sceneparts/tree10/leaves.140.obj new file mode 100644 index 000000000..b96ad620c --- /dev/null +++ b/data/sceneparts/tree10/leaves.140.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.140 +v -0.334022 0.052359 1.059382 +v -0.361172 0.061360 1.033995 +v -0.412840 0.023008 1.019435 +v -0.359418 0.023790 1.058138 +v -0.385690 0.014007 1.044822 +v -0.387445 0.051577 1.020679 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5309 0.4404 0.7240 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.141.obj b/data/sceneparts/tree10/leaves.141.obj new file mode 100644 index 000000000..07200701a --- /dev/null +++ b/data/sceneparts/tree10/leaves.141.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.141 +v -0.343419 0.052163 1.060056 +v -0.368480 0.054602 1.067549 +v -0.401027 0.024428 1.058385 +v -0.356763 0.031234 1.051449 +v -0.375966 0.021989 1.050892 +v -0.387683 0.045357 1.066992 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2075 -0.4823 0.8511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.142.obj b/data/sceneparts/tree10/leaves.142.obj new file mode 100644 index 000000000..79095acd8 --- /dev/null +++ b/data/sceneparts/tree10/leaves.142.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.142 +v -0.295770 0.116245 1.080568 +v -0.385088 0.217407 1.104082 +v -0.349567 0.127858 1.092262 +v -0.301518 0.172074 1.084549 +v -0.331291 0.205794 1.092388 +v -0.379340 0.161578 1.100100 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.2021 -0.0490 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.143.obj b/data/sceneparts/tree10/leaves.143.obj new file mode 100644 index 000000000..6b01b6440 --- /dev/null +++ b/data/sceneparts/tree10/leaves.143.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.143 +v -0.298000 0.117793 1.082531 +v -0.290792 0.172904 1.065378 +v -0.348973 0.137837 1.062949 +v -0.363648 0.230526 1.027429 +v -0.370855 0.175415 1.044582 +v -0.312675 0.210482 1.047011 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2292 0.3165 0.9205 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.144.obj b/data/sceneparts/tree10/leaves.144.obj new file mode 100644 index 000000000..246957cf7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.144.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.144 +v -0.300401 0.119459 1.084644 +v -0.321024 0.158446 1.094296 +v -0.341327 0.119114 1.065581 +v -0.392723 0.177423 1.070526 +v -0.372101 0.138435 1.060875 +v -0.351798 0.177768 1.089590 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3827 -0.4077 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.145.obj b/data/sceneparts/tree10/leaves.145.obj new file mode 100644 index 000000000..1637dae1d --- /dev/null +++ b/data/sceneparts/tree10/leaves.145.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.145 +v -0.302475 0.120898 1.086470 +v -0.329624 0.143464 1.109067 +v -0.396937 0.122449 1.125046 +v -0.338301 0.099366 1.089591 +v -0.369788 0.099883 1.102449 +v -0.361111 0.143981 1.121925 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3343 -0.4350 0.8361 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.146.obj b/data/sceneparts/tree10/leaves.146.obj new file mode 100644 index 000000000..e75ddb7ba --- /dev/null +++ b/data/sceneparts/tree10/leaves.146.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.146 +v -0.304861 0.122554 1.088570 +v -0.311152 0.162631 1.092663 +v -0.371370 0.195286 1.076701 +v -0.342909 0.130965 1.076565 +v -0.365079 0.155209 1.072609 +v -0.333322 0.186875 1.088706 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3270 -0.1467 0.9336 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.147.obj b/data/sceneparts/tree10/leaves.147.obj new file mode 100644 index 000000000..bbed4e72e --- /dev/null +++ b/data/sceneparts/tree10/leaves.147.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.147 +v -0.306982 0.124026 1.090437 +v -0.308189 0.156166 1.091371 +v -0.355062 0.185752 1.094275 +v -0.337828 0.133036 1.092062 +v -0.353854 0.153612 1.093342 +v -0.324216 0.176741 1.092650 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0446 -0.0273 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.148.obj b/data/sceneparts/tree10/leaves.148.obj new file mode 100644 index 000000000..517b19702 --- /dev/null +++ b/data/sceneparts/tree10/leaves.148.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.148 +v -0.309243 0.125595 1.092427 +v -0.316499 0.151751 1.090018 +v -0.349823 0.172585 1.115809 +v -0.329040 0.130766 1.110425 +v -0.342567 0.146429 1.118219 +v -0.330025 0.167414 1.097812 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.6861 0.2532 0.6820 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.149.obj b/data/sceneparts/tree10/leaves.149.obj new file mode 100644 index 000000000..5e9f41ee0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.149.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.149 +v -0.322757 0.004386 1.107808 +v -0.371435 0.022888 1.130463 +v -0.459655 -0.014785 1.110584 +v -0.365344 -0.026897 1.087004 +v -0.410977 -0.033287 1.087929 +v -0.417067 0.016498 1.131389 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1059 -0.6465 0.7555 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.150.obj b/data/sceneparts/tree10/leaves.150.obj new file mode 100644 index 000000000..7e9579842 --- /dev/null +++ b/data/sceneparts/tree10/leaves.150.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.150 +v -0.328128 0.006463 1.109098 +v -0.335075 0.055233 1.107284 +v -0.408867 0.092607 1.087548 +v -0.375006 0.015122 1.096546 +v -0.401919 0.043837 1.089362 +v -0.361988 0.083948 1.100100 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2588 -0.0009 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.151.obj b/data/sceneparts/tree10/leaves.151.obj new file mode 100644 index 000000000..e402105ff --- /dev/null +++ b/data/sceneparts/tree10/leaves.151.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.151 +v -0.333912 0.008699 1.110488 +v -0.346013 0.053864 1.096038 +v -0.424339 0.078239 1.076084 +v -0.382095 0.009894 1.102002 +v -0.412237 0.033074 1.090534 +v -0.376155 0.077044 1.084570 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1611 0.2613 0.9517 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.152.obj b/data/sceneparts/tree10/leaves.152.obj new file mode 100644 index 000000000..ff04998cd --- /dev/null +++ b/data/sceneparts/tree10/leaves.152.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.152 +v -0.338907 0.010631 1.111688 +v -0.378473 0.037272 1.114484 +v -0.454852 0.008720 1.102450 +v -0.376638 -0.017284 1.102732 +v -0.415286 -0.017921 1.099653 +v -0.417122 0.036635 1.111405 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0741 -0.2124 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.153.obj b/data/sceneparts/tree10/leaves.153.obj new file mode 100644 index 000000000..d5b317b0f --- /dev/null +++ b/data/sceneparts/tree10/leaves.153.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.153 +v -0.344654 0.012853 1.113068 +v -0.373026 0.030043 1.118730 +v -0.425016 0.005686 1.127340 +v -0.369856 -0.009115 1.116920 +v -0.396643 -0.011504 1.121678 +v -0.399814 0.027654 1.123488 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1775 -0.0311 0.9836 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.154.obj b/data/sceneparts/tree10/leaves.154.obj new file mode 100644 index 000000000..6cd686fe0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.154.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.154 +v -0.349762 0.014828 1.114295 +v -0.371802 0.040832 1.121609 +v -0.414049 0.038608 1.164352 +v -0.370580 0.004678 1.140352 +v -0.392009 0.012605 1.157038 +v -0.393231 0.048758 1.138295 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.6522 0.3661 0.6637 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.155.obj b/data/sceneparts/tree10/leaves.155.obj new file mode 100644 index 000000000..d7d5fc017 --- /dev/null +++ b/data/sceneparts/tree10/leaves.155.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.155 +v -0.355208 0.016934 1.115603 +v -0.366107 0.045472 1.112724 +v -0.399640 0.068288 1.146734 +v -0.373930 0.022632 1.139236 +v -0.388740 0.039750 1.149613 +v -0.380918 0.062590 1.123101 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.7737 0.3489 0.5288 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.156.obj b/data/sceneparts/tree10/leaves.156.obj new file mode 100644 index 000000000..4e83a74b3 --- /dev/null +++ b/data/sceneparts/tree10/leaves.156.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.156 +v -0.189834 -0.113228 1.145967 +v -0.235477 -0.073325 1.131380 +v -0.337408 -0.082762 1.164418 +v -0.242574 -0.132819 1.172854 +v -0.291765 -0.122664 1.179004 +v -0.284668 -0.063170 1.137530 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2134 0.5414 0.8132 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.157.obj b/data/sceneparts/tree10/leaves.157.obj new file mode 100644 index 000000000..88e74d541 --- /dev/null +++ b/data/sceneparts/tree10/leaves.157.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.157 +v -0.192833 -0.113861 1.147045 +v -0.224621 -0.093465 1.131697 +v -0.286952 -0.122378 1.116705 +v -0.223791 -0.139935 1.142166 +v -0.255164 -0.142774 1.132053 +v -0.255994 -0.096304 1.121583 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3170 0.2031 0.9264 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.158.obj b/data/sceneparts/tree10/leaves.158.obj new file mode 100644 index 000000000..4db4865a0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.158.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.158 +v -0.195486 -0.114422 1.147998 +v -0.232170 -0.117396 1.168706 +v -0.283715 -0.166827 1.154329 +v -0.217621 -0.146384 1.131510 +v -0.247031 -0.163853 1.133621 +v -0.261580 -0.134864 1.170816 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4203 -0.6286 0.6543 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.159.obj b/data/sceneparts/tree10/leaves.159.obj new file mode 100644 index 000000000..55fd5792b --- /dev/null +++ b/data/sceneparts/tree10/leaves.159.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.159 +v -0.198408 -0.115039 1.149048 +v -0.216127 -0.089242 1.156077 +v -0.268813 -0.091093 1.172877 +v -0.227626 -0.124871 1.157905 +v -0.251094 -0.116889 1.165848 +v -0.239595 -0.081260 1.164020 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3050 -0.0496 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.160.obj b/data/sceneparts/tree10/leaves.160.obj new file mode 100644 index 000000000..807c4f8be --- /dev/null +++ b/data/sceneparts/tree10/leaves.160.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.160 +v -0.201176 -0.115624 1.150043 +v -0.222418 -0.099148 1.153534 +v -0.265869 -0.108582 1.139054 +v -0.223063 -0.127405 1.139227 +v -0.244627 -0.125057 1.135564 +v -0.243982 -0.096801 1.149871 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1967 -0.4393 0.8765 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.161.obj b/data/sceneparts/tree10/leaves.161.obj new file mode 100644 index 000000000..d19322aec --- /dev/null +++ b/data/sceneparts/tree10/leaves.161.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.161 +v -0.123395 -0.192591 1.199202 +v -0.170645 -0.219325 1.199563 +v -0.178902 -0.312397 1.193204 +v -0.113149 -0.245727 1.194842 +v -0.131651 -0.285663 1.192843 +v -0.189148 -0.259261 1.197564 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0486 -0.0724 0.9962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.162.obj b/data/sceneparts/tree10/leaves.162.obj new file mode 100644 index 000000000..8a26b2c61 --- /dev/null +++ b/data/sceneparts/tree10/leaves.162.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.162 +v -0.128443 -0.196322 1.204968 +v -0.144994 -0.183106 1.247962 +v -0.127924 -0.234554 1.233867 +v -0.152491 -0.233846 1.312807 +v -0.135940 -0.247062 1.269813 +v -0.153010 -0.195613 1.283909 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.9299 0.2298 0.2873 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.163.obj b/data/sceneparts/tree10/leaves.163.obj new file mode 100644 index 000000000..42705c984 --- /dev/null +++ b/data/sceneparts/tree10/leaves.163.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.163 +v -0.128661 -0.196494 1.205222 +v -0.154299 -0.192970 1.203922 +v -0.182952 -0.203477 1.236581 +v -0.139217 -0.204672 1.227428 +v -0.157314 -0.207000 1.237881 +v -0.172396 -0.195298 1.214375 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1062 0.9156 0.3877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.164.obj b/data/sceneparts/tree10/leaves.164.obj new file mode 100644 index 000000000..33ac8d45c --- /dev/null +++ b/data/sceneparts/tree10/leaves.164.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.164 +v -0.121736 -0.193686 1.198255 +v -0.153647 -0.222040 1.175944 +v -0.147252 -0.304695 1.170373 +v -0.106835 -0.239338 1.201978 +v -0.115341 -0.276341 1.192683 +v -0.162152 -0.259043 1.166650 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5109 -0.0971 0.8541 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.165.obj b/data/sceneparts/tree10/leaves.165.obj new file mode 100644 index 000000000..717d08d20 --- /dev/null +++ b/data/sceneparts/tree10/leaves.165.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.165 +v -0.121171 -0.201525 1.200978 +v -0.136640 -0.245115 1.205406 +v -0.089553 -0.309034 1.216431 +v -0.084623 -0.229609 1.206851 +v -0.074083 -0.265445 1.212002 +v -0.126101 -0.280951 1.210557 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0643 0.1234 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.166.obj b/data/sceneparts/tree10/leaves.166.obj new file mode 100644 index 000000000..243eb0368 --- /dev/null +++ b/data/sceneparts/tree10/leaves.166.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.166 +v -0.120559 -0.210002 1.203922 +v -0.122935 -0.246571 1.202736 +v -0.073312 -0.285733 1.204803 +v -0.086685 -0.223920 1.205695 +v -0.070936 -0.249164 1.205989 +v -0.107186 -0.271814 1.203030 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0638 -0.0282 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.167.obj b/data/sceneparts/tree10/leaves.167.obj new file mode 100644 index 000000000..694e3ea74 --- /dev/null +++ b/data/sceneparts/tree10/leaves.167.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.167 +v -0.119985 -0.217956 1.206685 +v -0.145731 -0.234104 1.207780 +v -0.117536 -0.241334 1.187390 +v -0.154931 -0.277245 1.179386 +v -0.129185 -0.261097 1.178291 +v -0.157380 -0.253867 1.198680 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3844 -0.5633 0.7314 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.168.obj b/data/sceneparts/tree10/leaves.168.obj new file mode 100644 index 000000000..af164a5eb --- /dev/null +++ b/data/sceneparts/tree10/leaves.168.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.168 +v 0.180911 -0.030166 1.274494 +v 0.199692 -0.073263 1.273656 +v 0.276526 -0.089439 1.253319 +v 0.225873 -0.026584 1.261215 +v 0.257745 -0.046342 1.254157 +v 0.231564 -0.093021 1.266598 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2744 0.1010 0.9563 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.169.obj b/data/sceneparts/tree10/leaves.169.obj new file mode 100644 index 000000000..290d1617c --- /dev/null +++ b/data/sceneparts/tree10/leaves.169.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.169 +v 0.181904 -0.030761 1.277964 +v 0.195372 -0.067081 1.306048 +v 0.269979 -0.074182 1.340626 +v 0.227153 -0.023388 1.291655 +v 0.256511 -0.037862 1.312542 +v 0.224730 -0.081555 1.326935 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3244 0.5004 0.8027 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.170.obj b/data/sceneparts/tree10/leaves.170.obj new file mode 100644 index 000000000..21a57ec5b --- /dev/null +++ b/data/sceneparts/tree10/leaves.170.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.170 +v 0.182783 -0.031286 1.281034 +v 0.226950 0.001259 1.378716 +v 0.204573 0.003048 1.302574 +v 0.190438 -0.043924 1.324615 +v 0.205160 -0.033075 1.357176 +v 0.219295 0.013896 1.335135 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.8806 0.3908 0.2680 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.171.obj b/data/sceneparts/tree10/leaves.171.obj new file mode 100644 index 000000000..c14a5c413 --- /dev/null +++ b/data/sceneparts/tree10/leaves.171.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.171 +v 0.183751 -0.031866 1.284415 +v 0.168290 -0.063424 1.293091 +v 0.192505 -0.119438 1.279858 +v 0.205048 -0.058689 1.272701 +v 0.207966 -0.087879 1.271181 +v 0.171208 -0.092615 1.291572 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4848 0.0029 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.172.obj b/data/sceneparts/tree10/leaves.172.obj new file mode 100644 index 000000000..c96b0a37a --- /dev/null +++ b/data/sceneparts/tree10/leaves.172.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.172 +v 0.184668 -0.032414 1.287619 +v 0.198085 -0.058686 1.297163 +v 0.237633 -0.083627 1.271192 +v 0.206561 -0.040285 1.267123 +v 0.224216 -0.057356 1.261648 +v 0.215740 -0.075757 1.291687 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.6730 0.5308 0.5150 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.173.obj b/data/sceneparts/tree10/leaves.173.obj new file mode 100644 index 000000000..b7d967363 --- /dev/null +++ b/data/sceneparts/tree10/leaves.173.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.173 +v 0.198520 0.102680 1.169209 +v 0.188885 0.146730 1.125870 +v 0.247425 0.141664 1.169335 +v 0.257424 0.227232 1.104390 +v 0.267059 0.183181 1.147728 +v 0.208520 0.188247 1.104264 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.4570 0.5710 0.6820 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.174.obj b/data/sceneparts/tree10/leaves.174.obj new file mode 100644 index 000000000..25f807606 --- /dev/null +++ b/data/sceneparts/tree10/leaves.174.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.174 +v 0.202215 0.107078 1.166599 +v 0.248323 0.134176 1.165729 +v 0.255260 0.224900 1.150414 +v 0.191471 0.158528 1.156679 +v 0.209153 0.197802 1.151284 +v 0.266005 0.173450 1.160334 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0826 0.1720 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.175.obj b/data/sceneparts/tree10/leaves.175.obj new file mode 100644 index 000000000..b40c020df --- /dev/null +++ b/data/sceneparts/tree10/leaves.175.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.175 +v 0.205484 0.110969 1.164290 +v 0.237711 0.104523 1.147884 +v 0.286178 0.145325 1.146809 +v 0.227054 0.140319 1.169042 +v 0.253951 0.151771 1.163215 +v 0.264609 0.115975 1.142057 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3524 -0.3962 0.8478 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.176.obj b/data/sceneparts/tree10/leaves.176.obj new file mode 100644 index 000000000..20d37e494 --- /dev/null +++ b/data/sceneparts/tree10/leaves.176.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.176 +v 0.209085 0.115254 1.161747 +v 0.242790 0.102154 1.160040 +v 0.294381 0.137339 1.159545 +v 0.232244 0.143077 1.161986 +v 0.260676 0.150439 1.161252 +v 0.271222 0.109515 1.159306 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0357 -0.0383 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.177.obj b/data/sceneparts/tree10/leaves.177.obj new file mode 100644 index 000000000..3671e0fa5 --- /dev/null +++ b/data/sceneparts/tree10/leaves.177.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.177 +v 0.212496 0.119314 1.159338 +v 0.231967 0.117658 1.144833 +v 0.236900 0.139218 1.109151 +v 0.209294 0.134239 1.140384 +v 0.217429 0.140874 1.123655 +v 0.240102 0.124292 1.128104 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4413 0.7397 0.5080 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.178.obj b/data/sceneparts/tree10/leaves.178.obj new file mode 100644 index 000000000..ec5bc4d47 --- /dev/null +++ b/data/sceneparts/tree10/leaves.178.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.178 +v 0.146070 -0.086993 1.240461 +v 0.119492 -0.140589 1.242222 +v 0.188222 -0.128855 1.247733 +v 0.169431 -0.230180 1.254009 +v 0.127279 -0.188318 1.246738 +v 0.196009 -0.176584 1.252249 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0930 0.0787 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.179.obj b/data/sceneparts/tree10/leaves.179.obj new file mode 100644 index 000000000..66644ba69 --- /dev/null +++ b/data/sceneparts/tree10/leaves.179.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.179 +v 0.144811 -0.091003 1.241438 +v 0.100090 -0.095579 1.233016 +v 0.134632 -0.135589 1.240935 +v 0.062462 -0.164747 1.228051 +v 0.107182 -0.160171 1.236473 +v 0.072641 -0.120161 1.228554 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1881 0.0319 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.180.obj b/data/sceneparts/tree10/leaves.180.obj new file mode 100644 index 000000000..19ed0e949 --- /dev/null +++ b/data/sceneparts/tree10/leaves.180.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.180 +v 0.143454 -0.095321 1.242490 +v 0.149958 -0.145187 1.241876 +v 0.098251 -0.117321 1.243855 +v 0.085404 -0.203119 1.243616 +v 0.078901 -0.153254 1.244230 +v 0.130608 -0.181119 1.242252 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0340 -0.0079 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.181.obj b/data/sceneparts/tree10/leaves.181.obj new file mode 100644 index 000000000..ac3e56747 --- /dev/null +++ b/data/sceneparts/tree10/leaves.181.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.181 +v 0.142283 -0.099051 1.243398 +v 0.128882 -0.130444 1.229462 +v 0.164667 -0.178436 1.207988 +v 0.170606 -0.120582 1.233728 +v 0.178067 -0.147043 1.221924 +v 0.136344 -0.156905 1.217658 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0027 -0.4067 0.9135 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.182.obj b/data/sceneparts/tree10/leaves.182.obj new file mode 100644 index 000000000..00469fe6e --- /dev/null +++ b/data/sceneparts/tree10/leaves.182.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.182 +v 0.140935 -0.103342 1.244443 +v 0.105484 -0.122126 1.245277 +v 0.092189 -0.182102 1.213370 +v 0.143889 -0.137064 1.222893 +v 0.127640 -0.163318 1.212536 +v 0.089235 -0.148380 1.234919 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2835 -0.4986 0.8192 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.183.obj b/data/sceneparts/tree10/leaves.183.obj new file mode 100644 index 000000000..fdccfd320 --- /dev/null +++ b/data/sceneparts/tree10/leaves.183.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.183 +v 0.139737 -0.107155 1.245372 +v 0.083523 -0.162409 1.243586 +v 0.107784 -0.112088 1.243528 +v 0.134214 -0.139059 1.246025 +v 0.115476 -0.157476 1.245430 +v 0.089046 -0.130506 1.242933 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0624 0.0312 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.184.obj b/data/sceneparts/tree10/leaves.184.obj new file mode 100644 index 000000000..6f7b58385 --- /dev/null +++ b/data/sceneparts/tree10/leaves.184.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.184 +v 0.138460 -0.111222 1.246362 +v 0.150386 -0.123234 1.230551 +v 0.123417 -0.122338 1.232699 +v 0.133785 -0.145915 1.202149 +v 0.121859 -0.133902 1.217961 +v 0.148828 -0.134798 1.215813 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0229 -0.7877 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.185.obj b/data/sceneparts/tree10/leaves.185.obj new file mode 100644 index 000000000..61a305294 --- /dev/null +++ b/data/sceneparts/tree10/leaves.185.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.185 +v -0.031378 0.173374 1.287908 +v -0.017505 0.219869 1.287908 +v -0.070109 0.284973 1.287908 +v -0.071072 0.201278 1.287908 +v -0.083983 0.238478 1.287908 +v -0.030415 0.257069 1.287908 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.186.obj b/data/sceneparts/tree10/leaves.186.obj new file mode 100644 index 000000000..8df82eabd --- /dev/null +++ b/data/sceneparts/tree10/leaves.186.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.186 +v -0.031241 0.178575 1.290068 +v 0.004336 0.216579 1.301722 +v -0.010653 0.306801 1.291536 +v -0.053092 0.226055 1.279392 +v -0.046229 0.268797 1.279881 +v 0.011199 0.259321 1.302211 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3554 0.0464 0.9336 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.187.obj b/data/sceneparts/tree10/leaves.187.obj new file mode 100644 index 000000000..1301d3a3f --- /dev/null +++ b/data/sceneparts/tree10/leaves.187.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.187 +v -0.031119 0.183176 1.291978 +v 0.015586 0.255683 1.304848 +v -0.031995 0.216275 1.305640 +v 0.000894 0.198416 1.286896 +v 0.016463 0.222585 1.291186 +v -0.016427 0.240444 1.309930 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.3094 -0.3558 0.8819 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.188.obj b/data/sceneparts/tree10/leaves.188.obj new file mode 100644 index 000000000..8d7725201 --- /dev/null +++ b/data/sceneparts/tree10/leaves.188.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.188 +v -0.030985 0.188245 1.294083 +v -0.025115 0.280449 1.272501 +v -0.006727 0.216634 1.282933 +v -0.051330 0.221325 1.290844 +v -0.049373 0.252060 1.283651 +v -0.004770 0.247369 1.275739 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1922 0.2120 0.9582 +vn 0.1923 0.2120 0.9582 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/2 3/5/2 6/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.189.obj b/data/sceneparts/tree10/leaves.189.obj new file mode 100644 index 000000000..045732f57 --- /dev/null +++ b/data/sceneparts/tree10/leaves.189.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.189 +v -0.030858 0.193046 1.296076 +v -0.055653 0.205565 1.308728 +v -0.030546 0.223029 1.290374 +v -0.067581 0.256799 1.306501 +v -0.042787 0.244280 1.293849 +v -0.067894 0.226817 1.312203 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.5102 0.1556 0.8459 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.190.obj b/data/sceneparts/tree10/leaves.190.obj new file mode 100644 index 000000000..cd673952a --- /dev/null +++ b/data/sceneparts/tree10/leaves.190.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.190 +v -0.014956 0.324331 1.316863 +v 0.015793 0.369153 1.325076 +v -0.009145 0.441875 1.380594 +v -0.041831 0.357872 1.351137 +v -0.039894 0.397053 1.372381 +v 0.017730 0.408334 1.346320 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4399 -0.4447 0.7802 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.191.obj b/data/sceneparts/tree10/leaves.191.obj new file mode 100644 index 000000000..8b3689cff --- /dev/null +++ b/data/sceneparts/tree10/leaves.191.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.191 +v -0.011177 0.329476 1.318979 +v -0.010918 0.379265 1.326164 +v 0.030665 0.348349 1.298398 +v 0.051976 0.432469 1.298886 +v 0.010133 0.413596 1.319467 +v 0.051716 0.382680 1.291701 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.4835 -0.1275 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.192.obj b/data/sceneparts/tree10/leaves.192.obj new file mode 100644 index 000000000..380b93ba6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.192.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.192 +v -0.007108 0.335016 1.321257 +v 0.039890 0.312732 1.334361 +v 0.111484 0.358949 1.370416 +v 0.024955 0.373255 1.340925 +v 0.064486 0.381233 1.357312 +v 0.079421 0.320710 1.350747 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3443 -0.1848 0.9205 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.193.obj b/data/sceneparts/tree10/leaves.193.obj new file mode 100644 index 000000000..0afc61cd6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.193.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.193 +v -0.003593 0.339801 1.323225 +v -0.014889 0.384343 1.331273 +v 0.035190 0.365600 1.320644 +v 0.037638 0.445313 1.331426 +v 0.048933 0.400771 1.323378 +v -0.001145 0.419514 1.334007 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1563 -0.1371 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.194.obj b/data/sceneparts/tree10/leaves.194.obj new file mode 100644 index 000000000..b2e710538 --- /dev/null +++ b/data/sceneparts/tree10/leaves.194.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.194 +v 0.000450 0.345305 1.325488 +v 0.018835 0.372502 1.324976 +v -0.019493 0.371373 1.326298 +v -0.001887 0.425202 1.325935 +v 0.018056 0.399134 1.325125 +v -0.020272 0.398006 1.326447 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0346 -0.0046 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.195.obj b/data/sceneparts/tree10/leaves.195.obj new file mode 100644 index 000000000..1acfa2275 --- /dev/null +++ b/data/sceneparts/tree10/leaves.195.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.195 +v 0.004044 0.350198 1.327501 +v 0.025230 0.377364 1.334807 +v 0.006314 0.434565 1.342615 +v -0.015630 0.379277 1.330271 +v -0.014873 0.407399 1.335309 +v 0.025987 0.405487 1.339845 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1167 -0.1721 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.196.obj b/data/sceneparts/tree10/leaves.196.obj new file mode 100644 index 000000000..c3d213f5c --- /dev/null +++ b/data/sceneparts/tree10/leaves.196.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.196 +v 0.007875 0.355415 1.329646 +v 0.055329 0.393822 1.327065 +v 0.032914 0.356937 1.330462 +v 0.014473 0.379497 1.327109 +v 0.030291 0.392299 1.326249 +v 0.048732 0.369740 1.329602 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0394 0.1153 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.197.obj b/data/sceneparts/tree10/leaves.197.obj new file mode 100644 index 000000000..a3b282a43 --- /dev/null +++ b/data/sceneparts/tree10/leaves.197.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.197 +v -0.095515 0.311424 1.288450 +v -0.077114 0.366576 1.287697 +v -0.137235 0.446324 1.278382 +v -0.141729 0.346205 1.282492 +v -0.155636 0.391172 1.279136 +v -0.091021 0.411543 1.284341 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0943 0.0451 0.9945 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.198.obj b/data/sceneparts/tree10/leaves.198.obj new file mode 100644 index 000000000..07948c1ae --- /dev/null +++ b/data/sceneparts/tree10/leaves.198.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.198 +v -0.098500 0.314941 1.288087 +v -0.103627 0.337923 1.251334 +v -0.170267 0.357992 1.222597 +v -0.141218 0.320660 1.281180 +v -0.165140 0.335010 1.259350 +v -0.127549 0.352273 1.229504 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0285 0.8493 0.5271 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.199.obj b/data/sceneparts/tree10/leaves.199.obj new file mode 100644 index 000000000..42e84c118 --- /dev/null +++ b/data/sceneparts/tree10/leaves.199.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.199 +v -0.101362 0.318314 1.287738 +v -0.125465 0.345841 1.256685 +v -0.207806 0.354349 1.255775 +v -0.148221 0.314811 1.297482 +v -0.183702 0.326823 1.286828 +v -0.160947 0.357852 1.246031 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0730 0.7738 0.6292 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.200.obj b/data/sceneparts/tree10/leaves.200.obj new file mode 100644 index 000000000..c3f6858bf --- /dev/null +++ b/data/sceneparts/tree10/leaves.200.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.200 +v -0.104224 0.321687 1.287389 +v -0.125685 0.356137 1.303550 +v -0.199943 0.367086 1.296832 +v -0.146576 0.317503 1.277524 +v -0.178483 0.332636 1.280671 +v -0.157591 0.371270 1.306697 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1504 -0.4951 0.8557 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.201.obj b/data/sceneparts/tree10/leaves.201.obj new file mode 100644 index 000000000..66417903a --- /dev/null +++ b/data/sceneparts/tree10/leaves.201.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.201 +v -0.107086 0.325060 1.287041 +v -0.139334 0.404281 1.293392 +v -0.099898 0.358163 1.296717 +v -0.135773 0.344771 1.281599 +v -0.146522 0.371178 1.283716 +v -0.110648 0.384570 1.298834 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.3151 -0.2026 0.9272 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.202.obj b/data/sceneparts/tree10/leaves.202.obj new file mode 100644 index 000000000..35e2ca693 --- /dev/null +++ b/data/sceneparts/tree10/leaves.202.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.202 +v -0.109949 0.328433 1.286692 +v -0.100639 0.354343 1.290140 +v -0.123515 0.393569 1.275007 +v -0.128302 0.345947 1.275454 +v -0.132824 0.367659 1.271559 +v -0.105161 0.376055 1.286245 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4815 0.0566 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.203.obj b/data/sceneparts/tree10/leaves.203.obj new file mode 100644 index 000000000..5cdc2d122 --- /dev/null +++ b/data/sceneparts/tree10/leaves.203.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.203 +v -0.214543 0.231857 1.303240 +v -0.214504 0.278008 1.328262 +v -0.270177 0.346781 1.308977 +v -0.251672 0.262322 1.282043 +v -0.270217 0.300630 1.283956 +v -0.233048 0.316316 1.330174 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6659 -0.3551 0.6561 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.204.obj b/data/sceneparts/tree10/leaves.204.obj new file mode 100644 index 000000000..91ee72a4c --- /dev/null +++ b/data/sceneparts/tree10/leaves.204.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.204 +v -0.216265 0.234290 1.302518 +v -0.314836 0.277741 1.234595 +v -0.231407 0.270807 1.268263 +v -0.266837 0.226741 1.291491 +v -0.299694 0.241225 1.268849 +v -0.264264 0.285291 1.245622 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2548 0.6033 0.7557 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.205.obj b/data/sceneparts/tree10/leaves.205.obj new file mode 100644 index 000000000..97abeed44 --- /dev/null +++ b/data/sceneparts/tree10/leaves.205.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.205 +v -0.218119 0.236910 1.301741 +v -0.234443 0.273719 1.281226 +v -0.309075 0.283429 1.260900 +v -0.262431 0.231114 1.295029 +v -0.292750 0.246621 1.281416 +v -0.264762 0.289225 1.267612 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1889 0.4128 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.206.obj b/data/sceneparts/tree10/leaves.206.obj new file mode 100644 index 000000000..3c7e2ea6d --- /dev/null +++ b/data/sceneparts/tree10/leaves.206.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.206 +v -0.219720 0.239173 1.301070 +v -0.214925 0.278892 1.292269 +v -0.250220 0.313133 1.241521 +v -0.244849 0.248761 1.270171 +v -0.255015 0.273414 1.250322 +v -0.225092 0.303546 1.272419 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.7181 0.2321 0.6561 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.207.obj b/data/sceneparts/tree10/leaves.207.obj new file mode 100644 index 000000000..ee3a1490a --- /dev/null +++ b/data/sceneparts/tree10/leaves.207.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.207 +v -0.221562 0.241776 1.300297 +v -0.206837 0.270010 1.278538 +v -0.247873 0.269801 1.297176 +v -0.238941 0.326165 1.262976 +v -0.212630 0.298140 1.266098 +v -0.253666 0.297931 1.284735 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3698 0.4384 0.8192 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.208.obj b/data/sceneparts/tree10/leaves.208.obj new file mode 100644 index 000000000..e55e79668 --- /dev/null +++ b/data/sceneparts/tree10/leaves.208.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.208 +v -0.223199 0.244090 1.299611 +v -0.213953 0.270636 1.294040 +v -0.229878 0.298474 1.256421 +v -0.236898 0.253800 1.276389 +v -0.239124 0.271928 1.261992 +v -0.216179 0.288764 1.279644 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.7221 0.3737 0.5822 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.209.obj b/data/sceneparts/tree10/leaves.209.obj new file mode 100644 index 000000000..39861e478 --- /dev/null +++ b/data/sceneparts/tree10/leaves.209.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.209 +v -0.224945 0.246557 1.298879 +v -0.231054 0.254719 1.274781 +v -0.272486 0.252943 1.256960 +v -0.250530 0.242652 1.295031 +v -0.266377 0.244781 1.281058 +v -0.246901 0.256848 1.260808 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1933 0.9133 0.3584 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.210.obj b/data/sceneparts/tree10/leaves.210.obj new file mode 100644 index 000000000..29c47561e --- /dev/null +++ b/data/sceneparts/tree10/leaves.210.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.210 +v -0.174124 -0.083455 1.513114 +v -0.188299 -0.091463 1.567841 +v -0.127653 -0.127956 1.636335 +v -0.128968 -0.105115 1.540535 +v -0.113478 -0.119949 1.581609 +v -0.172809 -0.106296 1.608915 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3124 0.9250 0.2163 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.211.obj b/data/sceneparts/tree10/leaves.211.obj new file mode 100644 index 000000000..ee555adbe --- /dev/null +++ b/data/sceneparts/tree10/leaves.211.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.211 +v -0.174952 -0.086467 1.518603 +v -0.225940 -0.096548 1.534408 +v -0.256825 -0.180026 1.563726 +v -0.178546 -0.138759 1.532879 +v -0.205837 -0.169945 1.547921 +v -0.253231 -0.127734 1.549449 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2439 0.2398 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.212.obj b/data/sceneparts/tree10/leaves.212.obj new file mode 100644 index 000000000..3c04338da --- /dev/null +++ b/data/sceneparts/tree10/leaves.212.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.212 +v -0.175844 -0.089710 1.524513 +v -0.221039 -0.099058 1.546793 +v -0.242294 -0.174938 1.586868 +v -0.174948 -0.137182 1.543802 +v -0.197098 -0.165591 1.564587 +v -0.243189 -0.127467 1.567579 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3523 0.3580 0.8647 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.213.obj b/data/sceneparts/tree10/leaves.213.obj new file mode 100644 index 000000000..c03b75340 --- /dev/null +++ b/data/sceneparts/tree10/leaves.213.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.213 +v -0.176614 -0.092512 1.529617 +v -0.184064 -0.112790 1.565025 +v -0.145333 -0.167977 1.588980 +v -0.148310 -0.122543 1.533785 +v -0.137883 -0.147698 1.553572 +v -0.173637 -0.137945 1.584813 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.5999 0.6333 0.4889 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.214.obj b/data/sceneparts/tree10/leaves.214.obj new file mode 100644 index 000000000..c21894346 --- /dev/null +++ b/data/sceneparts/tree10/leaves.214.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.214 +v -0.177501 -0.095734 1.535489 +v -0.196458 -0.095808 1.561069 +v -0.178596 -0.097748 1.612970 +v -0.159273 -0.097002 1.561564 +v -0.159639 -0.097673 1.587391 +v -0.196823 -0.096480 1.586896 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0317 0.9991 0.0264 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.215.obj b/data/sceneparts/tree10/leaves.215.obj new file mode 100644 index 000000000..f764e5838 --- /dev/null +++ b/data/sceneparts/tree10/leaves.215.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.215 +v -0.178288 -0.098599 1.540709 +v -0.207696 -0.099137 1.548864 +v -0.225348 -0.115845 1.595570 +v -0.180254 -0.109558 1.569128 +v -0.195941 -0.115306 1.587415 +v -0.223382 -0.104886 1.567151 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0838 0.9278 0.3636 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.216.obj b/data/sceneparts/tree10/leaves.216.obj new file mode 100644 index 000000000..b37e57e35 --- /dev/null +++ b/data/sceneparts/tree10/leaves.216.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.216 +v -0.179128 -0.101653 1.546274 +v -0.199276 -0.111385 1.553991 +v -0.201575 -0.146845 1.574099 +v -0.173945 -0.122048 1.557107 +v -0.181428 -0.137113 1.566382 +v -0.206758 -0.126449 1.563266 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0978 0.4861 0.8684 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.217.obj b/data/sceneparts/tree10/leaves.217.obj new file mode 100644 index 000000000..6294d33cf --- /dev/null +++ b/data/sceneparts/tree10/leaves.217.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.217 +v -0.071273 0.241901 1.381573 +v -0.029479 0.280163 1.381265 +v -0.037647 0.371247 1.415788 +v -0.090650 0.289870 1.404691 +v -0.079441 0.332985 1.416095 +v -0.018270 0.323279 1.392670 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2953 -0.3153 0.9019 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.218.obj b/data/sceneparts/tree10/leaves.218.obj new file mode 100644 index 000000000..71d644b27 --- /dev/null +++ b/data/sceneparts/tree10/leaves.218.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.218 +v -0.067674 0.245500 1.384870 +v -0.043147 0.260515 1.415808 +v -0.056735 0.321539 1.453238 +v -0.084910 0.281177 1.399511 +v -0.081263 0.306524 1.422300 +v -0.039500 0.285862 1.438598 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5224 -0.5273 0.6701 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.219.obj b/data/sceneparts/tree10/leaves.219.obj new file mode 100644 index 000000000..087b13a55 --- /dev/null +++ b/data/sceneparts/tree10/leaves.219.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.219 +v -0.064596 0.248762 1.387842 +v -0.020137 0.247219 1.400824 +v 0.007209 0.272428 1.471585 +v -0.061185 0.266083 1.430689 +v -0.037250 0.273971 1.458603 +v 0.003798 0.255107 1.428738 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1429 -0.9136 0.3807 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.220.obj b/data/sceneparts/tree10/leaves.220.obj new file mode 100644 index 000000000..ed9083529 --- /dev/null +++ b/data/sceneparts/tree10/leaves.220.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.220 +v -0.060049 0.251399 1.390428 +v -0.031754 0.233347 1.386120 +v 0.018901 0.244460 1.412910 +v -0.035710 0.264825 1.409724 +v -0.009393 0.262512 1.417218 +v -0.005438 0.231034 1.393614 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2675 -0.5994 0.7545 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.221.obj b/data/sceneparts/tree10/leaves.221.obj new file mode 100644 index 000000000..588f678ee --- /dev/null +++ b/data/sceneparts/tree10/leaves.221.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.221 +v -0.055089 0.253214 1.392372 +v -0.034695 0.243126 1.396083 +v -0.000281 0.255560 1.380509 +v -0.038944 0.264867 1.380752 +v -0.020675 0.265649 1.376797 +v -0.016426 0.243908 1.392129 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1468 0.5891 0.7946 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.222.obj b/data/sceneparts/tree10/leaves.222.obj new file mode 100644 index 000000000..6b92aa2b7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.222.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.222 +v -0.062211 0.252470 1.391122 +v -0.048842 0.273950 1.416146 +v -0.076957 0.324210 1.437403 +v -0.085411 0.278816 1.396952 +v -0.090326 0.302729 1.412379 +v -0.053757 0.297864 1.431573 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4447 -0.5483 0.7082 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.223.obj b/data/sceneparts/tree10/leaves.223.obj new file mode 100644 index 000000000..6ebd3877e --- /dev/null +++ b/data/sceneparts/tree10/leaves.223.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.223 +v -0.061585 0.254208 1.392615 +v -0.042339 0.248726 1.413050 +v -0.038224 0.274236 1.455079 +v -0.065257 0.273043 1.413824 +v -0.057470 0.279719 1.434645 +v -0.034553 0.255402 1.433871 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6460 -0.6229 0.4413 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.224.obj b/data/sceneparts/tree10/leaves.224.obj new file mode 100644 index 000000000..afdacd9af --- /dev/null +++ b/data/sceneparts/tree10/leaves.224.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.224 +v -0.260962 0.038889 1.473228 +v -0.247240 0.063394 1.431649 +v -0.301266 0.085402 1.367708 +v -0.301553 0.045393 1.444460 +v -0.314988 0.060897 1.409287 +v -0.260675 0.078898 1.396476 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1820 0.8722 0.4540 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.225.obj b/data/sceneparts/tree10/leaves.225.obj new file mode 100644 index 000000000..ff95f5d30 --- /dev/null +++ b/data/sceneparts/tree10/leaves.225.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.225 +v -0.264796 0.041670 1.476774 +v -0.305984 0.067809 1.463709 +v -0.384794 0.032743 1.451530 +v -0.303608 0.009580 1.473009 +v -0.343607 0.006604 1.464594 +v -0.345983 0.064834 1.455295 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2140 0.1455 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.226.obj b/data/sceneparts/tree10/leaves.226.obj new file mode 100644 index 000000000..4ea41f4a7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.226.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.226 +v -0.268474 0.044338 1.480174 +v -0.278919 0.083997 1.492533 +v -0.342881 0.102266 1.524702 +v -0.307633 0.043298 1.497500 +v -0.332435 0.062607 1.512342 +v -0.303722 0.103306 1.507376 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4023 -0.1741 0.8988 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.227.obj b/data/sceneparts/tree10/leaves.227.obj new file mode 100644 index 000000000..54409899d --- /dev/null +++ b/data/sceneparts/tree10/leaves.227.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.227 +v -0.272151 0.047005 1.483573 +v -0.264152 0.078236 1.504475 +v -0.307195 0.108318 1.544912 +v -0.303512 0.056651 1.503564 +v -0.315193 0.077088 1.524010 +v -0.275833 0.098673 1.524921 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3019 -0.5824 0.7547 +vn 0.3020 -0.5824 0.7547 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.228.obj b/data/sceneparts/tree10/leaves.228.obj new file mode 100644 index 000000000..93b08ebe9 --- /dev/null +++ b/data/sceneparts/tree10/leaves.228.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.228 +v -0.275828 0.049673 1.486973 +v -0.306994 0.063316 1.503394 +v -0.274437 0.087407 1.485828 +v -0.320490 0.126738 1.509886 +v -0.321881 0.089004 1.511032 +v -0.289325 0.113095 1.493465 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.4694 0.0095 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.229.obj b/data/sceneparts/tree10/leaves.229.obj new file mode 100644 index 000000000..0edb46a23 --- /dev/null +++ b/data/sceneparts/tree10/leaves.229.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.229 +v -0.279505 0.052340 1.490373 +v -0.297961 0.064823 1.480296 +v -0.338784 0.056114 1.486374 +v -0.300569 0.042374 1.497784 +v -0.320329 0.043632 1.496451 +v -0.317720 0.066081 1.478963 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0140 0.6155 0.7880 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.230.obj b/data/sceneparts/tree10/leaves.230.obj new file mode 100644 index 000000000..483878974 --- /dev/null +++ b/data/sceneparts/tree10/leaves.230.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.230 +v 0.264538 0.019757 1.482202 +v 0.319019 -0.011086 1.494881 +v 0.419492 0.027790 1.471737 +v 0.313359 0.055955 1.462546 +v 0.365010 0.058633 1.459058 +v 0.370670 -0.008409 1.491393 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0381 0.4367 0.8988 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.231.obj b/data/sceneparts/tree10/leaves.231.obj new file mode 100644 index 000000000..69e1e4c52 --- /dev/null +++ b/data/sceneparts/tree10/leaves.231.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.231 +v 0.267709 0.020271 1.482324 +v 0.279023 -0.007664 1.439897 +v 0.350428 0.006460 1.387348 +v 0.311542 0.038999 1.461434 +v 0.339115 0.034395 1.429775 +v 0.306596 -0.012268 1.408238 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.5365 -0.6320 0.5592 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.232.obj b/data/sceneparts/tree10/leaves.232.obj new file mode 100644 index 000000000..d2f33702d --- /dev/null +++ b/data/sceneparts/tree10/leaves.232.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.232 +v 0.270750 0.020764 1.482441 +v 0.310320 0.005683 1.487197 +v 0.364643 0.041514 1.521383 +v 0.293776 0.049677 1.503645 +v 0.325073 0.056594 1.516626 +v 0.341617 0.012600 1.500178 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2656 -0.4236 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.233.obj b/data/sceneparts/tree10/leaves.233.obj new file mode 100644 index 000000000..d2bc2f74b --- /dev/null +++ b/data/sceneparts/tree10/leaves.233.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.233 +v 0.273792 0.021257 1.482557 +v 0.317173 0.023578 1.475787 +v 0.358689 0.086421 1.484724 +v 0.287008 0.062379 1.490773 +v 0.315307 0.084100 1.491495 +v 0.345472 0.045299 1.476509 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1623 -0.2432 0.9563 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.234.obj b/data/sceneparts/tree10/leaves.234.obj new file mode 100644 index 000000000..b97af0906 --- /dev/null +++ b/data/sceneparts/tree10/leaves.234.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.234 +v 0.276833 0.021750 1.482674 +v 0.305281 0.005568 1.499179 +v 0.351974 0.036533 1.528487 +v 0.298479 0.047787 1.496711 +v 0.323526 0.052715 1.511982 +v 0.330328 0.010496 1.514450 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5155 -0.0330 0.8562 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.235.obj b/data/sceneparts/tree10/leaves.235.obj new file mode 100644 index 000000000..5dfc1d40f --- /dev/null +++ b/data/sceneparts/tree10/leaves.235.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.235 +v 0.279874 0.022243 1.482791 +v 0.290348 0.000409 1.473919 +v 0.321366 -0.001499 1.442085 +v 0.297062 0.028248 1.464526 +v 0.310893 0.020334 1.450957 +v 0.304178 -0.007505 1.460350 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.7167 0.0615 0.6947 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.236.obj b/data/sceneparts/tree10/leaves.236.obj new file mode 100644 index 000000000..2be56eba6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.236.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.236 +v 0.223966 -0.089731 1.565848 +v 0.228002 -0.137870 1.578328 +v 0.301353 -0.182829 1.575825 +v 0.271522 -0.103657 1.560020 +v 0.297317 -0.134690 1.563345 +v 0.253798 -0.168903 1.581653 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1925 0.2613 0.9459 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.237.obj b/data/sceneparts/tree10/leaves.237.obj new file mode 100644 index 000000000..b64f88f02 --- /dev/null +++ b/data/sceneparts/tree10/leaves.237.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.237 +v 0.225697 -0.093724 1.568617 +v 0.220382 -0.118400 1.612541 +v 0.286863 -0.145687 1.662268 +v 0.271789 -0.103690 1.587128 +v 0.292177 -0.121011 1.618345 +v 0.240771 -0.135721 1.643758 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0078 0.8722 0.4891 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.238.obj b/data/sceneparts/tree10/leaves.238.obj new file mode 100644 index 000000000..cdf500fbb --- /dev/null +++ b/data/sceneparts/tree10/leaves.238.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.238 +v 0.227357 -0.097553 1.571272 +v 0.193468 -0.127772 1.592149 +v 0.212267 -0.201525 1.632637 +v 0.251185 -0.136648 1.591305 +v 0.246155 -0.171305 1.611760 +v 0.188438 -0.162430 1.612604 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0890 0.4966 0.8634 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.239.obj b/data/sceneparts/tree10/leaves.239.obj new file mode 100644 index 000000000..bcf8e397d --- /dev/null +++ b/data/sceneparts/tree10/leaves.239.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.239 +v 0.229016 -0.101382 1.573928 +v 0.228232 -0.133112 1.597894 +v 0.278085 -0.180092 1.601728 +v 0.262513 -0.122125 1.568495 +v 0.278869 -0.148362 1.577762 +v 0.244588 -0.159349 1.607161 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4463 0.5323 0.7193 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.240.obj b/data/sceneparts/tree10/leaves.240.obj new file mode 100644 index 000000000..6c2910414 --- /dev/null +++ b/data/sceneparts/tree10/leaves.240.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.240 +v 0.230676 -0.105211 1.576583 +v 0.234466 -0.132641 1.584521 +v 0.259889 -0.147012 1.624725 +v 0.246362 -0.105648 1.600740 +v 0.256099 -0.119582 1.616787 +v 0.244204 -0.146575 1.600568 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.8376 0.0419 0.5446 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.241.obj b/data/sceneparts/tree10/leaves.241.obj new file mode 100644 index 000000000..d00439569 --- /dev/null +++ b/data/sceneparts/tree10/leaves.241.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.241 +v 0.232336 -0.109040 1.579238 +v 0.221074 -0.126398 1.595329 +v 0.241648 -0.145524 1.630761 +v 0.249806 -0.116005 1.597496 +v 0.252911 -0.128166 1.614670 +v 0.224178 -0.138559 1.612504 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3144 0.7470 0.5858 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.242.obj b/data/sceneparts/tree10/leaves.242.obj new file mode 100644 index 000000000..c64df69e0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.242.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.242 +v 0.144903 0.197444 1.475344 +v 0.258624 0.263224 1.460651 +v 0.167596 0.246773 1.475367 +v 0.198025 0.191968 1.465526 +v 0.235931 0.213895 1.460628 +v 0.205503 0.268699 1.470469 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1732 -0.0801 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.243.obj b/data/sceneparts/tree10/leaves.243.obj new file mode 100644 index 000000000..4f0f42dda --- /dev/null +++ b/data/sceneparts/tree10/leaves.243.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.243 +v 0.146781 0.200510 1.473206 +v 0.175404 0.263141 1.352794 +v 0.123890 0.227297 1.428433 +v 0.188755 0.215478 1.437704 +v 0.198296 0.236354 1.397567 +v 0.133431 0.248174 1.388296 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0912 0.8744 0.4765 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.244.obj b/data/sceneparts/tree10/leaves.244.obj new file mode 100644 index 000000000..425720cf4 --- /dev/null +++ b/data/sceneparts/tree10/leaves.244.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.244 +v 0.148583 0.203451 1.471155 +v 0.179538 0.227675 1.493312 +v 0.163137 0.286515 1.541557 +v 0.127330 0.234602 1.495932 +v 0.132182 0.262290 1.519400 +v 0.184389 0.255363 1.516780 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0466 -0.6411 0.7660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.245.obj b/data/sceneparts/tree10/leaves.245.obj new file mode 100644 index 000000000..0f68fdcb8 --- /dev/null +++ b/data/sceneparts/tree10/leaves.245.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.245 +v 0.150384 0.206391 1.469104 +v 0.186351 0.210802 1.450366 +v 0.223714 0.270430 1.449458 +v 0.163304 0.244672 1.474746 +v 0.187747 0.266019 1.468197 +v 0.210794 0.232149 1.443817 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4703 -0.2820 0.8363 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.246.obj b/data/sceneparts/tree10/leaves.246.obj new file mode 100644 index 000000000..dad908ea0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.246.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.246 +v 0.152185 0.209331 1.467054 +v 0.183437 0.201892 1.454279 +v 0.215552 0.238731 1.420099 +v 0.163177 0.236370 1.448525 +v 0.184299 0.246170 1.432874 +v 0.204559 0.211693 1.438628 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4263 0.3870 0.8176 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.247.obj b/data/sceneparts/tree10/leaves.247.obj new file mode 100644 index 000000000..9db8812ab --- /dev/null +++ b/data/sceneparts/tree10/leaves.247.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.247 +v 0.153986 0.212271 1.465003 +v 0.174075 0.219079 1.449663 +v 0.170385 0.229555 1.405894 +v 0.144830 0.216986 1.440937 +v 0.150296 0.222747 1.421234 +v 0.179541 0.224840 1.429959 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1408 0.9601 0.2417 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.248.obj b/data/sceneparts/tree10/leaves.248.obj new file mode 100644 index 000000000..aa7039c0a --- /dev/null +++ b/data/sceneparts/tree10/leaves.248.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.248 +v -0.026620 0.286956 1.700939 +v -0.017286 0.304288 1.746006 +v -0.070263 0.353445 1.790437 +v -0.065049 0.313949 1.715538 +v -0.079596 0.336112 1.745371 +v -0.031833 0.326452 1.775838 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4200 -0.8145 0.4002 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.249.obj b/data/sceneparts/tree10/leaves.249.obj new file mode 100644 index 000000000..36505ce27 --- /dev/null +++ b/data/sceneparts/tree10/leaves.249.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.249 +v -0.026832 0.289294 1.702910 +v 0.015803 0.292231 1.735160 +v 0.039358 0.367038 1.783934 +v -0.025340 0.338186 1.724676 +v -0.003277 0.364101 1.751684 +v 0.037867 0.318146 1.762168 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5565 -0.3237 0.7652 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.250.obj b/data/sceneparts/tree10/leaves.250.obj new file mode 100644 index 000000000..fcf499e30 --- /dev/null +++ b/data/sceneparts/tree10/leaves.250.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.250 +v -0.027060 0.291812 1.705032 +v -0.008796 0.339546 1.716731 +v -0.060190 0.413609 1.724056 +v -0.067411 0.325276 1.706016 +v -0.078455 0.365875 1.712358 +v -0.019839 0.380145 1.723072 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1321 -0.1880 0.9732 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.251.obj b/data/sceneparts/tree10/leaves.251.obj new file mode 100644 index 000000000..28385a108 --- /dev/null +++ b/data/sceneparts/tree10/leaves.251.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.251 +v -0.027258 0.293986 1.706866 +v -0.023316 0.308812 1.742048 +v -0.069493 0.344876 1.772882 +v -0.059357 0.313087 1.715694 +v -0.073436 0.330050 1.737699 +v -0.037394 0.325775 1.764053 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3873 -0.8333 0.3945 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.252.obj b/data/sceneparts/tree10/leaves.252.obj new file mode 100644 index 000000000..de4b09c03 --- /dev/null +++ b/data/sceneparts/tree10/leaves.252.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.252 +v -0.027485 0.296488 1.708974 +v 0.007631 0.313793 1.692529 +v 0.022364 0.385545 1.692510 +v -0.029368 0.338554 1.714444 +v -0.012752 0.368240 1.708956 +v 0.024247 0.343479 1.687041 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4599 -0.0942 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.253.obj b/data/sceneparts/tree10/leaves.253.obj new file mode 100644 index 000000000..7da1e5b8c --- /dev/null +++ b/data/sceneparts/tree10/leaves.253.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.253 +v -0.027687 0.298712 1.710849 +v -0.003895 0.326628 1.708615 +v -0.018440 0.387173 1.720490 +v -0.045314 0.329770 1.719510 +v -0.042232 0.359257 1.722724 +v -0.000813 0.356115 1.711829 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2430 -0.1302 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.254.obj b/data/sceneparts/tree10/leaves.254.obj new file mode 100644 index 000000000..bd8ade711 --- /dev/null +++ b/data/sceneparts/tree10/leaves.254.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.254 +v -0.027902 0.301082 1.712847 +v -0.027473 0.313823 1.735202 +v -0.060532 0.339390 1.750173 +v -0.050085 0.313880 1.715376 +v -0.060961 0.326650 1.727818 +v -0.038349 0.326592 1.747644 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4042 -0.7913 0.4587 +vn -0.4043 -0.7913 0.4587 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.255.obj b/data/sceneparts/tree10/leaves.255.obj new file mode 100644 index 000000000..76a2c5832 --- /dev/null +++ b/data/sceneparts/tree10/leaves.255.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.255 +v 0.231648 0.147048 1.551753 +v 0.263594 0.110107 1.556686 +v 0.334929 0.102153 1.511761 +v 0.268556 0.154059 1.520159 +v 0.302983 0.139094 1.506828 +v 0.298021 0.095142 1.543355 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4956 0.5214 0.6947 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.256.obj b/data/sceneparts/tree10/leaves.256.obj new file mode 100644 index 000000000..9e0ac6b99 --- /dev/null +++ b/data/sceneparts/tree10/leaves.256.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.256 +v 0.237465 0.148653 1.554387 +v 0.284162 0.120648 1.554387 +v 0.369566 0.159752 1.554387 +v 0.278835 0.184056 1.554387 +v 0.322868 0.187756 1.554387 +v 0.328196 0.124348 1.554387 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.257.obj b/data/sceneparts/tree10/leaves.257.obj new file mode 100644 index 000000000..f381c3626 --- /dev/null +++ b/data/sceneparts/tree10/leaves.257.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.257 +v 0.243043 0.150192 1.556913 +v 0.277138 0.157596 1.574170 +v 0.311716 0.214706 1.567016 +v 0.254730 0.185797 1.546392 +v 0.277621 0.207302 1.549760 +v 0.300029 0.179101 1.577537 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4818 0.3900 0.7847 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.258.obj b/data/sceneparts/tree10/leaves.258.obj new file mode 100644 index 000000000..b2a1af59c --- /dev/null +++ b/data/sceneparts/tree10/leaves.258.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.258 +v 0.248621 0.151730 1.559439 +v 0.274462 0.135482 1.543784 +v 0.321743 0.162415 1.520520 +v 0.271528 0.175103 1.549148 +v 0.295901 0.178664 1.536174 +v 0.298836 0.139043 1.530811 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4777 -0.0830 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.259.obj b/data/sceneparts/tree10/leaves.259.obj new file mode 100644 index 000000000..b15fff762 --- /dev/null +++ b/data/sceneparts/tree10/leaves.259.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.259 +v 0.254199 0.153269 1.561965 +v 0.289976 0.162494 1.564327 +v 0.274427 0.122290 1.560629 +v 0.338206 0.120638 1.563503 +v 0.302429 0.111413 1.561141 +v 0.317978 0.151617 1.564839 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0468 -0.0735 0.9962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.260.obj b/data/sceneparts/tree10/leaves.260.obj new file mode 100644 index 000000000..5125b0516 --- /dev/null +++ b/data/sceneparts/tree10/leaves.260.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.260 +v 0.259777 0.154808 1.564491 +v 0.284158 0.156743 1.561400 +v 0.304106 0.192236 1.549121 +v 0.264949 0.177825 1.557336 +v 0.279725 0.190301 1.552213 +v 0.298934 0.169219 1.556276 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0994 0.2749 0.9563 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.261.obj b/data/sceneparts/tree10/leaves.261.obj new file mode 100644 index 000000000..2c823b7eb --- /dev/null +++ b/data/sceneparts/tree10/leaves.261.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.261 +v -0.016622 -0.264415 1.833965 +v -0.029439 -0.321198 1.834968 +v 0.038843 -0.394835 1.836176 +v 0.033171 -0.294580 1.834436 +v 0.051660 -0.338053 1.835173 +v -0.010951 -0.364671 1.835705 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0011 0.0174 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.262.obj b/data/sceneparts/tree10/leaves.262.obj new file mode 100644 index 000000000..9f635a27a --- /dev/null +++ b/data/sceneparts/tree10/leaves.262.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.262 +v -0.017591 -0.269389 1.839159 +v -0.055603 -0.286510 1.861997 +v -0.004224 -0.282745 1.882777 +v -0.054558 -0.315105 1.938843 +v -0.016546 -0.297984 1.916005 +v -0.067925 -0.301749 1.895225 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2061 0.9162 0.3437 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.263.obj b/data/sceneparts/tree10/leaves.263.obj new file mode 100644 index 000000000..ca36c72c8 --- /dev/null +++ b/data/sceneparts/tree10/leaves.263.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.263 +v -0.018635 -0.274744 1.844751 +v -0.065736 -0.289565 1.853336 +v -0.019538 -0.324835 1.846119 +v -0.090640 -0.372112 1.859680 +v -0.089737 -0.322021 1.858312 +v -0.043540 -0.357291 1.851096 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1720 0.0238 0.9848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.264.obj b/data/sceneparts/tree10/leaves.264.obj new file mode 100644 index 000000000..af96c788a --- /dev/null +++ b/data/sceneparts/tree10/leaves.264.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.264 +v -0.019537 -0.279370 1.849582 +v 0.004351 -0.315579 1.867413 +v -0.048251 -0.316372 1.852036 +v -0.026776 -0.389188 1.880010 +v -0.050664 -0.352978 1.862179 +v 0.001938 -0.352185 1.877555 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2737 0.2735 0.9221 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.265.obj b/data/sceneparts/tree10/leaves.265.obj new file mode 100644 index 000000000..1db82dec6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.265.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.265 +v -0.020574 -0.284690 1.855138 +v -0.025742 -0.307497 1.879042 +v 0.012020 -0.348586 1.893650 +v 0.006324 -0.304481 1.856909 +v 0.017188 -0.325779 1.869747 +v -0.014877 -0.328796 1.891879 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4080 0.6149 0.6749 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.266.obj b/data/sceneparts/tree10/leaves.266.obj new file mode 100644 index 000000000..6bee3ac83 --- /dev/null +++ b/data/sceneparts/tree10/leaves.266.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.266 +v -0.021495 -0.289420 1.860078 +v -0.022322 -0.320678 1.868571 +v -0.051994 -0.297169 1.867801 +v -0.068483 -0.347929 1.884402 +v -0.067657 -0.316672 1.875908 +v -0.037984 -0.340181 1.876679 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1764 0.2538 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.267.obj b/data/sceneparts/tree10/leaves.267.obj new file mode 100644 index 000000000..0249e8417 --- /dev/null +++ b/data/sceneparts/tree10/leaves.267.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.267 +v -0.022478 -0.294463 1.865344 +v -0.049426 -0.305956 1.870049 +v -0.058094 -0.351501 1.891740 +v -0.019274 -0.320995 1.878236 +v -0.031146 -0.340007 1.887035 +v -0.061298 -0.324969 1.878848 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0280 0.4342 0.9004 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.268.obj b/data/sceneparts/tree10/leaves.268.obj new file mode 100644 index 000000000..cb94b3185 --- /dev/null +++ b/data/sceneparts/tree10/leaves.268.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.268 +v -0.245048 -0.118901 1.761116 +v -0.289528 -0.087822 1.786894 +v -0.255204 -0.141869 1.815688 +v -0.327002 -0.106735 1.881641 +v -0.316846 -0.083766 1.827069 +v -0.282522 -0.137814 1.855863 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.6686 0.6327 0.3907 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.269.obj b/data/sceneparts/tree10/leaves.269.obj new file mode 100644 index 000000000..859c95f59 --- /dev/null +++ b/data/sceneparts/tree10/leaves.269.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.269 +v -0.247559 -0.118561 1.765807 +v -0.251747 -0.116010 1.821877 +v -0.301101 -0.179561 1.876213 +v -0.279066 -0.161779 1.783341 +v -0.296914 -0.182112 1.820143 +v -0.269594 -0.136344 1.858679 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.8215 -0.5636 0.0870 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.270.obj b/data/sceneparts/tree10/leaves.270.obj new file mode 100644 index 000000000..40636e797 --- /dev/null +++ b/data/sceneparts/tree10/leaves.270.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.270 +v -0.250264 -0.118196 1.770859 +v -0.271704 -0.078949 1.862316 +v -0.271332 -0.124541 1.806418 +v -0.243489 -0.085686 1.796272 +v -0.250636 -0.072604 1.826757 +v -0.278479 -0.111459 1.836904 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.7943 -0.4681 0.3871 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.271.obj b/data/sceneparts/tree10/leaves.271.obj new file mode 100644 index 000000000..99188edc2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.271.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.271 +v -0.252600 -0.117881 1.775223 +v -0.277536 -0.092596 1.778393 +v -0.326530 -0.096492 1.815369 +v -0.276950 -0.128907 1.798817 +v -0.301593 -0.121777 1.812199 +v -0.302180 -0.085466 1.791774 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.5238 0.4240 0.7388 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.272.obj b/data/sceneparts/tree10/leaves.272.obj new file mode 100644 index 000000000..248d11337 --- /dev/null +++ b/data/sceneparts/tree10/leaves.272.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.272 +v -0.255287 -0.117518 1.780242 +v -0.286208 -0.110537 1.776875 +v -0.326631 -0.147813 1.776344 +v -0.271929 -0.144695 1.781011 +v -0.295711 -0.154794 1.779712 +v -0.309989 -0.120636 1.775575 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0894 0.0828 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.273.obj b/data/sceneparts/tree10/leaves.273.obj new file mode 100644 index 000000000..a65142012 --- /dev/null +++ b/data/sceneparts/tree10/leaves.273.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.273 +v -0.257675 -0.117195 1.784704 +v -0.286314 -0.113423 1.783572 +v -0.319681 -0.150483 1.783895 +v -0.270373 -0.143159 1.785297 +v -0.291042 -0.154255 1.785027 +v -0.306983 -0.124519 1.783302 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0343 0.0396 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.274.obj b/data/sceneparts/tree10/leaves.274.obj new file mode 100644 index 000000000..6f912efd6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.274.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.274 +v -0.260222 -0.116851 1.789461 +v -0.262615 -0.104224 1.810817 +v -0.260234 -0.121920 1.849931 +v -0.257837 -0.132857 1.808418 +v -0.257841 -0.134546 1.828575 +v -0.262619 -0.105914 1.830974 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.9865 0.1635 0.0139 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.275.obj b/data/sceneparts/tree10/leaves.275.obj new file mode 100644 index 000000000..16cf3c3bc --- /dev/null +++ b/data/sceneparts/tree10/leaves.275.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.275 +v -0.203625 -0.221514 1.676997 +v -0.257821 -0.198908 1.673992 +v -0.342947 -0.254023 1.672003 +v -0.242310 -0.265793 1.676673 +v -0.288751 -0.276630 1.675008 +v -0.304262 -0.209744 1.672328 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0428 0.0301 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.276.obj b/data/sceneparts/tree10/leaves.276.obj new file mode 100644 index 000000000..d90d512da --- /dev/null +++ b/data/sceneparts/tree10/leaves.276.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.276 +v -0.205650 -0.223652 1.677727 +v -0.288006 -0.276529 1.735524 +v -0.251430 -0.223787 1.686878 +v -0.214774 -0.258768 1.707106 +v -0.242226 -0.276394 1.726372 +v -0.278882 -0.241413 1.706144 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1536 0.6103 0.7771 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.277.obj b/data/sceneparts/tree10/leaves.277.obj new file mode 100644 index 000000000..6ac6bb77b --- /dev/null +++ b/data/sceneparts/tree10/leaves.277.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.277 +v -0.207592 -0.225702 1.678426 +v -0.235305 -0.244764 1.701175 +v -0.224647 -0.305908 1.733647 +v -0.191250 -0.260110 1.692491 +v -0.196935 -0.286845 1.710898 +v -0.240989 -0.271500 1.719581 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3291 0.4870 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.278.obj b/data/sceneparts/tree10/leaves.278.obj new file mode 100644 index 000000000..c27f7d5b4 --- /dev/null +++ b/data/sceneparts/tree10/leaves.278.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.278 +v -0.209535 -0.227752 1.679126 +v -0.239591 -0.239184 1.697766 +v -0.246033 -0.297312 1.724046 +v -0.203811 -0.262693 1.690433 +v -0.215977 -0.285880 1.705407 +v -0.251757 -0.262371 1.712739 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3984 0.3408 0.8515 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.279.obj b/data/sceneparts/tree10/leaves.279.obj new file mode 100644 index 000000000..d1d3e9867 --- /dev/null +++ b/data/sceneparts/tree10/leaves.279.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.279 +v -0.211477 -0.229802 1.679826 +v -0.234605 -0.218132 1.692567 +v -0.279945 -0.238728 1.692954 +v -0.233994 -0.247422 1.675837 +v -0.256817 -0.250397 1.680213 +v -0.257428 -0.221108 1.696943 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2251 -0.4797 0.8480 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.280.obj b/data/sceneparts/tree10/leaves.280.obj new file mode 100644 index 000000000..3a0480e11 --- /dev/null +++ b/data/sceneparts/tree10/leaves.280.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.280 +v -0.213419 -0.231852 1.680526 +v -0.241908 -0.242759 1.680163 +v -0.257257 -0.285022 1.652815 +v -0.214155 -0.256391 1.662414 +v -0.228768 -0.274114 1.653177 +v -0.256521 -0.260482 1.670926 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2137 -0.5843 0.7829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.281.obj b/data/sceneparts/tree10/leaves.281.obj new file mode 100644 index 000000000..44b973a63 --- /dev/null +++ b/data/sceneparts/tree10/leaves.281.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.281 +v 0.175427 0.011388 1.890213 +v 0.208055 0.023027 1.942235 +v 0.180862 0.096740 2.016066 +v 0.146423 0.056650 1.922094 +v 0.148235 0.085101 1.964045 +v 0.209866 0.051478 1.984186 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5354 -0.6881 0.4898 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.282.obj b/data/sceneparts/tree10/leaves.282.obj new file mode 100644 index 000000000..527763d63 --- /dev/null +++ b/data/sceneparts/tree10/leaves.282.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.282 +v 0.177687 0.013742 1.893664 +v 0.221409 0.002434 1.890590 +v 0.280124 0.053750 1.886563 +v 0.202257 0.051722 1.892003 +v 0.236403 0.065058 1.889636 +v 0.255554 0.015770 1.888223 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0697 -0.0015 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.283.obj b/data/sceneparts/tree10/leaves.283.obj new file mode 100644 index 000000000..a2b96fbc1 --- /dev/null +++ b/data/sceneparts/tree10/leaves.283.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.283 +v 0.179854 0.016000 1.896973 +v 0.221291 0.020056 1.891016 +v 0.264994 0.060304 1.932659 +v 0.195177 0.041480 1.926721 +v 0.223557 0.056248 1.938617 +v 0.249671 0.034824 1.902912 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1624 -0.7892 0.5923 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.284.obj b/data/sceneparts/tree10/leaves.284.obj new file mode 100644 index 000000000..176944d7f --- /dev/null +++ b/data/sceneparts/tree10/leaves.284.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.284 +v 0.182021 0.018258 1.900283 +v 0.221386 0.030414 1.911917 +v 0.253707 0.093289 1.890568 +v 0.190447 0.056122 1.882172 +v 0.214343 0.081132 1.878934 +v 0.245281 0.055424 1.908678 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3801 0.4666 0.7986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.285.obj b/data/sceneparts/tree10/leaves.285.obj new file mode 100644 index 000000000..78633d7a4 --- /dev/null +++ b/data/sceneparts/tree10/leaves.285.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.285 +v 0.184188 0.020516 1.903592 +v 0.209413 0.034495 1.899204 +v 0.214469 0.084557 1.898521 +v 0.179150 0.049231 1.904600 +v 0.189244 0.070579 1.902909 +v 0.219507 0.055842 1.897513 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1736 -0.0041 0.9848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.286.obj b/data/sceneparts/tree10/leaves.286.obj new file mode 100644 index 000000000..677fd383b --- /dev/null +++ b/data/sceneparts/tree10/leaves.286.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.286 +v 0.186355 0.022774 1.906902 +v 0.199766 0.010837 1.923246 +v 0.189602 0.037163 1.926185 +v 0.211342 0.026453 1.960343 +v 0.208094 0.012063 1.941059 +v 0.197931 0.038389 1.943999 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.8325 -0.3677 0.4145 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.287.obj b/data/sceneparts/tree10/leaves.287.obj new file mode 100644 index 000000000..aa411d1f1 --- /dev/null +++ b/data/sceneparts/tree10/leaves.287.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.287 +v 0.153224 -0.171266 1.808716 +v 0.233208 -0.277342 1.840763 +v 0.153299 -0.225236 1.824150 +v 0.206471 -0.188014 1.814646 +v 0.233133 -0.223372 1.825329 +v 0.179961 -0.260595 1.834832 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0206 0.2749 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.288.obj b/data/sceneparts/tree10/leaves.288.obj new file mode 100644 index 000000000..bfea270ac --- /dev/null +++ b/data/sceneparts/tree10/leaves.288.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.288 +v 0.158499 -0.174086 1.809454 +v 0.179025 -0.216604 1.794122 +v 0.254637 -0.222306 1.754333 +v 0.202065 -0.163715 1.788040 +v 0.234111 -0.179788 1.769666 +v 0.211070 -0.232678 1.775748 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4577 -0.0977 0.8837 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.289.obj b/data/sceneparts/tree10/leaves.289.obj new file mode 100644 index 000000000..1c0f45e29 --- /dev/null +++ b/data/sceneparts/tree10/leaves.289.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.289 +v 0.163558 -0.176791 1.810162 +v 0.197102 -0.205194 1.818983 +v 0.260124 -0.187077 1.859978 +v 0.194391 -0.155245 1.834552 +v 0.226580 -0.158674 1.851157 +v 0.229291 -0.208623 1.835588 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4632 -0.2865 0.8387 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.290.obj b/data/sceneparts/tree10/leaves.290.obj new file mode 100644 index 000000000..d91cf8f5c --- /dev/null +++ b/data/sceneparts/tree10/leaves.290.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.290 +v 0.168617 -0.179495 1.810870 +v 0.191491 -0.213056 1.819394 +v 0.243642 -0.215138 1.868390 +v 0.195760 -0.169697 1.840693 +v 0.220769 -0.181578 1.859866 +v 0.216499 -0.224937 1.838568 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6639 -0.2760 0.6950 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.291.obj b/data/sceneparts/tree10/leaves.291.obj new file mode 100644 index 000000000..f307695fd --- /dev/null +++ b/data/sceneparts/tree10/leaves.291.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.291 +v 0.173676 -0.182200 1.811578 +v 0.179952 -0.211732 1.808978 +v 0.219809 -0.235705 1.832839 +v 0.198156 -0.188337 1.828353 +v 0.213533 -0.206172 1.835440 +v 0.195329 -0.229567 1.816065 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5872 -0.1940 0.7859 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.292.obj b/data/sceneparts/tree10/leaves.292.obj new file mode 100644 index 000000000..d39e8c673 --- /dev/null +++ b/data/sceneparts/tree10/leaves.292.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.292 +v 0.178735 -0.184904 1.812286 +v 0.205441 -0.193531 1.823603 +v 0.178146 -0.214864 1.816503 +v 0.217911 -0.242784 1.835586 +v 0.191204 -0.234157 1.824270 +v 0.218500 -0.212824 1.831370 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.3485 0.1374 0.9272 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.293.obj b/data/sceneparts/tree10/leaves.293.obj new file mode 100644 index 000000000..8ef45ee36 --- /dev/null +++ b/data/sceneparts/tree10/leaves.293.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.293 +v 0.148651 -0.056328 1.897639 +v 0.188824 -0.087378 1.903788 +v 0.132400 -0.099832 1.919064 +v 0.184533 -0.168157 1.938999 +v 0.144361 -0.137108 1.932850 +v 0.200785 -0.124654 1.917574 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1603 0.3872 0.9079 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.294.obj b/data/sceneparts/tree10/leaves.294.obj new file mode 100644 index 000000000..6d56a9964 --- /dev/null +++ b/data/sceneparts/tree10/leaves.294.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.294 +v 0.148664 -0.059047 1.900973 +v 0.148845 -0.088431 1.933847 +v 0.200538 -0.090285 1.989611 +v 0.183066 -0.050488 1.927191 +v 0.200357 -0.060901 1.956737 +v 0.166136 -0.098844 1.963392 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5704 0.6108 0.5491 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.295.obj b/data/sceneparts/tree10/leaves.295.obj new file mode 100644 index 000000000..8daa5b20d --- /dev/null +++ b/data/sceneparts/tree10/leaves.295.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.295 +v 0.148676 -0.061654 1.904171 +v 0.127267 -0.086076 1.935869 +v 0.151020 -0.092756 2.010166 +v 0.171648 -0.057966 1.943136 +v 0.172429 -0.068333 1.978468 +v 0.128048 -0.096443 1.971201 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5471 0.7999 0.2468 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.296.obj b/data/sceneparts/tree10/leaves.296.obj new file mode 100644 index 000000000..6abb15ba2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.296.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.296 +v 0.148688 -0.064260 1.907368 +v 0.098819 -0.139899 1.916279 +v 0.150337 -0.101426 1.911139 +v 0.113793 -0.077521 1.909537 +v 0.097170 -0.102733 1.912508 +v 0.133714 -0.126639 1.914110 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0231 0.1019 0.9945 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.297.obj b/data/sceneparts/tree10/leaves.297.obj new file mode 100644 index 000000000..98c136d42 --- /dev/null +++ b/data/sceneparts/tree10/leaves.297.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.297 +v 0.148701 -0.066867 1.910565 +v 0.128076 -0.078377 1.883633 +v 0.146738 -0.117454 1.839551 +v 0.168017 -0.089081 1.890154 +v 0.167362 -0.105943 1.866483 +v 0.127422 -0.095240 1.859962 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2986 -0.7734 0.5592 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.298.obj b/data/sceneparts/tree10/leaves.298.obj new file mode 100644 index 000000000..842f915cc --- /dev/null +++ b/data/sceneparts/tree10/leaves.298.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.298 +v 0.148713 -0.069474 1.913762 +v 0.143438 -0.092054 1.915806 +v 0.163861 -0.118192 1.938435 +v 0.164086 -0.079373 1.928167 +v 0.169136 -0.095613 1.936391 +v 0.148487 -0.108293 1.924030 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5936 0.2090 0.7771 +vn -0.5936 0.2090 0.7772 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.299.obj b/data/sceneparts/tree10/leaves.299.obj new file mode 100644 index 000000000..b315cb533 --- /dev/null +++ b/data/sceneparts/tree10/leaves.299.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.299 +v 0.093051 -0.205629 1.775389 +v 0.058008 -0.242485 1.772594 +v 0.074088 -0.327579 1.787429 +v 0.115452 -0.250073 1.786210 +v 0.109131 -0.290723 1.790223 +v 0.051688 -0.283135 1.776607 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2126 0.1287 0.9686 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.300.obj b/data/sceneparts/tree10/leaves.300.obj new file mode 100644 index 000000000..28f7e6535 --- /dev/null +++ b/data/sceneparts/tree10/leaves.300.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.300 +v 0.092331 -0.212956 1.772401 +v 0.013982 -0.294568 1.732919 +v 0.044660 -0.225099 1.770882 +v 0.087770 -0.255222 1.747599 +v 0.061654 -0.282425 1.734438 +v 0.018543 -0.252302 1.757722 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.1032 -0.5117 0.8530 +vn 0.1031 -0.5117 0.8530 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/2 3/5/2 6/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.301.obj b/data/sceneparts/tree10/leaves.301.obj new file mode 100644 index 000000000..569c23318 --- /dev/null +++ b/data/sceneparts/tree10/leaves.301.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.301 +v 0.091641 -0.219982 1.769536 +v 0.078430 -0.239261 1.739827 +v 0.107509 -0.291547 1.713897 +v 0.115431 -0.248414 1.762152 +v 0.120720 -0.272269 1.743605 +v 0.083719 -0.263116 1.721281 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5183 -0.5936 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.302.obj b/data/sceneparts/tree10/leaves.302.obj new file mode 100644 index 000000000..816b92c10 --- /dev/null +++ b/data/sceneparts/tree10/leaves.302.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.302 +v 0.090951 -0.227009 1.766671 +v 0.081629 -0.265684 1.765012 +v 0.126331 -0.316884 1.774930 +v 0.123859 -0.248250 1.773836 +v 0.135652 -0.278208 1.776590 +v 0.093423 -0.295643 1.767765 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2078 0.0081 0.9781 +vn -0.2077 0.0081 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.303.obj b/data/sceneparts/tree10/leaves.303.obj new file mode 100644 index 000000000..b24b4594c --- /dev/null +++ b/data/sceneparts/tree10/leaves.303.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.303 +v 0.090261 -0.234035 1.763806 +v 0.088895 -0.309914 1.764745 +v 0.105726 -0.259724 1.755278 +v 0.073885 -0.258932 1.772960 +v 0.073430 -0.284225 1.773273 +v 0.105271 -0.285017 1.755590 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.4855 0.0021 0.8742 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.304.obj b/data/sceneparts/tree10/leaves.304.obj new file mode 100644 index 000000000..7ef7aa39e --- /dev/null +++ b/data/sceneparts/tree10/leaves.304.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.304 +v 0.089571 -0.241061 1.760941 +v 0.062335 -0.249957 1.757531 +v 0.089075 -0.261369 1.740451 +v 0.047974 -0.284869 1.725090 +v 0.075209 -0.275972 1.728500 +v 0.048470 -0.264560 1.745580 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1432 -0.7047 0.6949 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.305.obj b/data/sceneparts/tree10/leaves.305.obj new file mode 100644 index 000000000..f5ed4b6a0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.305.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.305 +v 0.130981 0.024659 1.996913 +v 0.163094 0.021971 2.033223 +v 0.216460 0.083115 2.053890 +v 0.155854 0.066318 1.998588 +v 0.184346 0.085803 2.017580 +v 0.191587 0.041456 2.052215 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6787 0.3800 0.6284 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.306.obj b/data/sceneparts/tree10/leaves.306.obj new file mode 100644 index 000000000..1c3a7d3ab --- /dev/null +++ b/data/sceneparts/tree10/leaves.306.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.306 +v 0.132233 0.025143 1.998853 +v 0.148347 0.008876 2.043325 +v 0.143718 0.054326 2.116526 +v 0.123775 0.060866 2.032830 +v 0.127603 0.070593 2.072054 +v 0.152176 0.018603 2.082549 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.9024 -0.3893 0.1846 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.307.obj b/data/sceneparts/tree10/leaves.307.obj new file mode 100644 index 000000000..eb4d15f43 --- /dev/null +++ b/data/sceneparts/tree10/leaves.307.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.307 +v 0.133340 0.025571 2.000569 +v 0.242956 0.049475 2.000737 +v 0.164143 0.059843 2.000157 +v 0.175614 0.007235 2.001093 +v 0.212153 0.015203 2.001149 +v 0.200682 0.067811 2.000213 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0052 0.0167 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.308.obj b/data/sceneparts/tree10/leaves.308.obj new file mode 100644 index 000000000..d345573d7 --- /dev/null +++ b/data/sceneparts/tree10/leaves.308.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.308 +v 0.134560 0.026042 2.002459 +v 0.150085 0.041655 2.025395 +v 0.200789 0.029458 2.042383 +v 0.163187 0.012706 2.006138 +v 0.185263 0.013845 2.019447 +v 0.172161 0.042794 2.038704 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.3790 -0.6253 0.6822 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree10/leaves.309.obj b/data/sceneparts/tree10/leaves.309.obj new file mode 100644 index 000000000..b7fd83988 --- /dev/null +++ b/data/sceneparts/tree10/leaves.309.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.309 +v 0.135715 0.026489 2.004249 +v 0.162579 0.023594 2.014932 +v 0.191907 0.061853 2.028651 +v 0.146313 0.052959 2.009834 +v 0.165043 0.064747 2.017968 +v 0.181310 0.035382 2.023066 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3734 -0.0460 0.9265 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.310.obj b/data/sceneparts/tree10/leaves.310.obj new file mode 100644 index 000000000..da32c5bbc --- /dev/null +++ b/data/sceneparts/tree10/leaves.310.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.310 +v 0.186474 0.109520 1.890653 +v 0.233991 0.116184 1.905161 +v 0.275843 0.191802 1.902357 +v 0.198536 0.157711 1.883948 +v 0.228325 0.185138 1.887849 +v 0.263781 0.143611 1.909062 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3121 0.2071 0.9272 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.311.obj b/data/sceneparts/tree10/leaves.311.obj new file mode 100644 index 000000000..96ade920e --- /dev/null +++ b/data/sceneparts/tree10/leaves.311.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.311 +v 0.195009 0.110265 1.894394 +v 0.218656 0.087950 1.930384 +v 0.274894 0.124887 1.980114 +v 0.224619 0.142328 1.915551 +v 0.251247 0.147202 1.944124 +v 0.245284 0.092824 1.958957 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.7289 0.2534 0.6360 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.312.obj b/data/sceneparts/tree10/leaves.312.obj new file mode 100644 index 000000000..a8213ed8b --- /dev/null +++ b/data/sceneparts/tree10/leaves.312.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.312 +v 0.203102 0.109714 1.898616 +v 0.266997 0.050022 1.903192 +v 0.238748 0.105170 1.900082 +v 0.210052 0.074463 1.900202 +v 0.231351 0.054565 1.901727 +v 0.260047 0.085273 1.901607 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0362 0.0378 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.313.obj b/data/sceneparts/tree10/leaves.313.obj new file mode 100644 index 000000000..d5a9de08f --- /dev/null +++ b/data/sceneparts/tree10/leaves.313.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.313 +v 0.210027 0.106983 1.903443 +v 0.221893 0.084048 1.899488 +v 0.266573 0.078187 1.899155 +v 0.235858 0.110721 1.904539 +v 0.254707 0.101122 1.903110 +v 0.240742 0.074449 1.898059 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0160 -0.1779 0.9839 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.314.obj b/data/sceneparts/tree10/leaves.314.obj new file mode 100644 index 000000000..ce0dd137e --- /dev/null +++ b/data/sceneparts/tree10/leaves.314.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.314 +v 0.203017 0.111334 1.897705 +v 0.253064 0.175471 1.893480 +v 0.207992 0.142646 1.908400 +v 0.231407 0.122780 1.884193 +v 0.248089 0.144159 1.882785 +v 0.224674 0.164025 1.906992 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.5138 -0.3493 0.7836 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.315.obj b/data/sceneparts/tree10/leaves.315.obj new file mode 100644 index 000000000..026555c3b --- /dev/null +++ b/data/sceneparts/tree10/leaves.315.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.315 +v 0.209989 0.114166 1.899567 +v 0.235275 0.119650 1.914338 +v 0.253689 0.166650 1.924006 +v 0.213836 0.143671 1.901088 +v 0.228403 0.161166 1.909234 +v 0.249842 0.137144 1.922484 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5078 0.0218 0.8612 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.316.obj b/data/sceneparts/tree10/leaves.316.obj new file mode 100644 index 000000000..6595cee95 --- /dev/null +++ b/data/sceneparts/tree10/leaves.316.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.316 +v 0.095213 -0.133680 1.922813 +v 0.133049 -0.160812 1.937905 +v 0.127536 -0.241865 1.960891 +v 0.078926 -0.178671 1.933106 +v 0.089700 -0.214733 1.945799 +v 0.143824 -0.196874 1.950597 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.1759 0.2796 0.9438 +vn -0.1760 0.2796 0.9438 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/2 4/5/2 5/6/2 3/2/2 diff --git a/data/sceneparts/tree10/leaves.317.obj b/data/sceneparts/tree10/leaves.317.obj new file mode 100644 index 000000000..dfd2e34d1 --- /dev/null +++ b/data/sceneparts/tree10/leaves.317.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.317 +v 0.097177 -0.136579 1.923018 +v 0.091387 -0.171228 1.948968 +v 0.128726 -0.236306 1.942128 +v 0.124000 -0.168415 1.909809 +v 0.134516 -0.201657 1.916179 +v 0.101903 -0.204470 1.955337 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.7097 0.3425 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.318.obj b/data/sceneparts/tree10/leaves.318.obj new file mode 100644 index 000000000..24c5598e1 --- /dev/null +++ b/data/sceneparts/tree10/leaves.318.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.318 +v 0.098914 -0.139144 1.923200 +v 0.144841 -0.139290 1.926072 +v 0.116028 -0.152711 1.882696 +v 0.193475 -0.159712 1.866752 +v 0.176361 -0.146146 1.907256 +v 0.147548 -0.159567 1.863880 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0223 -0.9508 0.3090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.319.obj b/data/sceneparts/tree10/leaves.319.obj new file mode 100644 index 000000000..b804d46f8 --- /dev/null +++ b/data/sceneparts/tree10/leaves.319.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.319 +v 0.100828 -0.141969 1.923400 +v 0.147763 -0.202758 1.972626 +v 0.134311 -0.149620 1.938374 +v 0.098634 -0.174844 1.941243 +v 0.114280 -0.195106 1.957652 +v 0.149956 -0.169883 1.954783 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2672 0.4734 0.8393 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.320.obj b/data/sceneparts/tree10/leaves.320.obj new file mode 100644 index 000000000..d7f66fecc --- /dev/null +++ b/data/sceneparts/tree10/leaves.320.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.320 +v 0.102640 -0.144646 1.923589 +v 0.109476 -0.201893 1.927527 +v 0.117159 -0.162710 1.918460 +v 0.092679 -0.164746 1.931344 +v 0.094957 -0.183829 1.932657 +v 0.119437 -0.181792 1.919773 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.4551 0.1151 0.8829 +vn 0.4552 0.1151 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 4/5/2 5/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.321.obj b/data/sceneparts/tree10/leaves.321.obj new file mode 100644 index 000000000..569e533bc --- /dev/null +++ b/data/sceneparts/tree10/leaves.321.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.321 +v 0.148945 0.165051 1.867508 +v 0.187587 0.178766 1.840363 +v 0.192216 0.251348 1.796702 +v 0.139151 0.208867 1.847449 +v 0.153574 0.237633 1.823847 +v 0.202011 0.207532 1.816761 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3987 0.4539 0.7969 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.322.obj b/data/sceneparts/tree10/leaves.322.obj new file mode 100644 index 000000000..b38a9ba29 --- /dev/null +++ b/data/sceneparts/tree10/leaves.322.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.322 +v 0.149753 0.168262 1.867545 +v 0.178658 0.215570 1.870796 +v 0.164298 0.283415 1.936892 +v 0.130545 0.197722 1.910525 +v 0.135393 0.236106 1.933641 +v 0.183507 0.253955 1.893911 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.6624 -0.4461 0.6018 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.323.obj b/data/sceneparts/tree10/leaves.323.obj new file mode 100644 index 000000000..25ea98d39 --- /dev/null +++ b/data/sceneparts/tree10/leaves.323.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.323 +v 0.150528 0.171341 1.867581 +v 0.136747 0.276797 1.856913 +v 0.121321 0.202657 1.857899 +v 0.170548 0.210329 1.870151 +v 0.165954 0.245481 1.866595 +v 0.116727 0.237809 1.854343 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2505 0.0650 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.324.obj b/data/sceneparts/tree10/leaves.324.obj new file mode 100644 index 000000000..2d4088168 --- /dev/null +++ b/data/sceneparts/tree10/leaves.324.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.324 +v 0.151303 0.174419 1.867616 +v 0.206353 0.252370 1.896540 +v 0.149700 0.212885 1.881594 +v 0.189607 0.187921 1.872920 +v 0.207957 0.213905 1.882561 +v 0.168050 0.238869 1.891236 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0096 -0.3419 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.325.obj b/data/sceneparts/tree10/leaves.325.obj new file mode 100644 index 000000000..1a4dc2003 --- /dev/null +++ b/data/sceneparts/tree10/leaves.325.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.325 +v 0.152078 0.177498 1.867652 +v 0.184263 0.188653 1.869129 +v 0.203488 0.238204 1.843944 +v 0.154167 0.206814 1.850369 +v 0.171304 0.227049 1.842466 +v 0.201399 0.208889 1.861227 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2142 0.5074 0.8347 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.326.obj b/data/sceneparts/tree10/leaves.326.obj new file mode 100644 index 000000000..e42dddb7a --- /dev/null +++ b/data/sceneparts/tree10/leaves.326.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.326 +v 0.152853 0.180577 1.867687 +v 0.164598 0.206584 1.862743 +v 0.132720 0.197628 1.855743 +v 0.140270 0.245165 1.842355 +v 0.128525 0.219157 1.847299 +v 0.160404 0.228114 1.854298 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2845 0.3015 0.9100 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.327.obj b/data/sceneparts/tree10/leaves.327.obj new file mode 100644 index 000000000..b747b0c9d --- /dev/null +++ b/data/sceneparts/tree10/leaves.327.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.327 +v -0.168188 -0.122287 2.096889 +v -0.201833 -0.259201 2.114854 +v -0.147059 -0.176706 2.096530 +v -0.211747 -0.159144 2.109225 +v -0.222962 -0.204782 2.115213 +v -0.158274 -0.222344 2.102519 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.2118 0.0758 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.328.obj b/data/sceneparts/tree10/leaves.328.obj new file mode 100644 index 000000000..a7f57d94b --- /dev/null +++ b/data/sceneparts/tree10/leaves.328.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.328 +v -0.169236 -0.124526 2.099012 +v -0.241876 -0.170315 2.166076 +v -0.177228 -0.159941 2.125178 +v -0.209671 -0.119637 2.117555 +v -0.233884 -0.134900 2.139910 +v -0.201441 -0.175204 2.147532 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.4131 0.4790 0.7745 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.329.obj b/data/sceneparts/tree10/leaves.329.obj new file mode 100644 index 000000000..d621957a0 --- /dev/null +++ b/data/sceneparts/tree10/leaves.329.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.329 +v -0.170241 -0.126673 2.101047 +v -0.206048 -0.143635 2.100473 +v -0.220566 -0.202230 2.068401 +v -0.167983 -0.160081 2.079857 +v -0.184758 -0.185267 2.068975 +v -0.222823 -0.168821 2.089591 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2285 -0.5104 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.330.obj b/data/sceneparts/tree10/leaves.330.obj new file mode 100644 index 000000000..bfedc0ca6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.330.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.330 +v -0.171245 -0.128820 2.103083 +v -0.178403 -0.229989 2.103083 +v -0.149350 -0.164261 2.103083 +v -0.197912 -0.160825 2.103083 +v -0.200298 -0.194548 2.103083 +v -0.151736 -0.197984 2.103083 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.331.obj b/data/sceneparts/tree10/leaves.331.obj new file mode 100644 index 000000000..a55e8645e --- /dev/null +++ b/data/sceneparts/tree10/leaves.331.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.331 +v -0.172250 -0.130967 2.105119 +v -0.200710 -0.130339 2.102362 +v -0.229218 -0.170371 2.098026 +v -0.181769 -0.157864 2.103146 +v -0.200758 -0.170999 2.100782 +v -0.219699 -0.143473 2.099998 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0972 -0.0385 0.9945 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.332.obj b/data/sceneparts/tree10/leaves.332.obj new file mode 100644 index 000000000..efadde73c --- /dev/null +++ b/data/sceneparts/tree10/leaves.332.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.332 +v -0.173255 -0.133114 2.107154 +v -0.174860 -0.159870 2.108680 +v -0.198769 -0.140364 2.103000 +v -0.213934 -0.184124 2.103211 +v -0.212328 -0.157368 2.101685 +v -0.188420 -0.176873 2.107365 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.1788 0.0667 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.333.obj b/data/sceneparts/tree10/leaves.333.obj new file mode 100644 index 000000000..e2cdf8cef --- /dev/null +++ b/data/sceneparts/tree10/leaves.333.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.333 +v -0.143668 0.057608 2.124431 +v -0.169660 0.114566 2.119710 +v -0.204626 0.052928 2.138724 +v -0.274093 0.136024 2.138789 +v -0.248101 0.079066 2.143510 +v -0.213135 0.140705 2.124496 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2118 0.1763 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.334.obj b/data/sceneparts/tree10/leaves.334.obj new file mode 100644 index 000000000..b26a11d7f --- /dev/null +++ b/data/sceneparts/tree10/leaves.334.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.334 +v -0.145085 0.058707 2.126163 +v -0.216713 0.070646 2.237746 +v -0.190347 0.041923 2.151851 +v -0.147575 0.083450 2.174864 +v -0.171451 0.087430 2.212059 +v -0.214223 0.045902 2.189045 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.5124 -0.7547 0.4097 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.335.obj b/data/sceneparts/tree10/leaves.335.obj new file mode 100644 index 000000000..bf735de37 --- /dev/null +++ b/data/sceneparts/tree10/leaves.335.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.335 +v -0.146338 0.059678 2.127697 +v -0.214679 0.128553 2.091095 +v -0.184694 0.064107 2.109711 +v -0.153542 0.101166 2.121281 +v -0.176322 0.124124 2.109080 +v -0.207475 0.087065 2.097510 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.4172 0.0677 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.336.obj b/data/sceneparts/tree10/leaves.336.obj new file mode 100644 index 000000000..96238a79c --- /dev/null +++ b/data/sceneparts/tree10/leaves.336.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.336 +v -0.147718 0.060748 2.129385 +v -0.175337 0.071000 2.117063 +v -0.187611 0.123903 2.107836 +v -0.146694 0.092600 2.127340 +v -0.159992 0.113651 2.120157 +v -0.188635 0.092051 2.109880 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.3841 0.0714 0.9205 +vn -0.3842 0.0714 0.9205 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/2 4/5/2 5/6/2 3/2/2 diff --git a/data/sceneparts/tree10/leaves.337.obj b/data/sceneparts/tree10/leaves.337.obj new file mode 100644 index 000000000..dbcdd0b50 --- /dev/null +++ b/data/sceneparts/tree10/leaves.337.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.337 +v -0.149026 0.061762 2.130984 +v -0.162960 0.085306 2.125709 +v -0.210869 0.088734 2.123968 +v -0.176320 0.056200 2.131582 +v -0.196935 0.065191 2.129243 +v -0.183574 0.094296 2.123371 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0207 0.2069 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.338.obj b/data/sceneparts/tree10/leaves.338.obj new file mode 100644 index 000000000..6a1190ddf --- /dev/null +++ b/data/sceneparts/tree10/leaves.338.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.338 +v -0.244539 -0.069934 2.041259 +v -0.288158 -0.089957 2.027242 +v -0.310804 -0.172048 2.040946 +v -0.245097 -0.117987 2.055068 +v -0.267185 -0.152025 2.054964 +v -0.310246 -0.123996 2.027137 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4007 0.2573 0.8793 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.339.obj b/data/sceneparts/tree10/leaves.339.obj new file mode 100644 index 000000000..cfda7917d --- /dev/null +++ b/data/sceneparts/tree10/leaves.339.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.339 +v -0.248403 -0.071398 2.041789 +v -0.331142 -0.160279 2.074116 +v -0.254566 -0.122048 2.049580 +v -0.297400 -0.080002 2.055550 +v -0.324980 -0.109629 2.066325 +v -0.282146 -0.151675 2.060356 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.2493 0.1175 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.340.obj b/data/sceneparts/tree10/leaves.340.obj new file mode 100644 index 000000000..fb7242c5e --- /dev/null +++ b/data/sceneparts/tree10/leaves.340.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.340 +v -0.251821 -0.072693 2.042258 +v -0.283044 -0.099724 2.064255 +v -0.354827 -0.074170 2.090889 +v -0.289269 -0.046646 2.052682 +v -0.323604 -0.047139 2.068892 +v -0.317379 -0.100216 2.080466 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.4116 0.2400 0.8792 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree10/leaves.341.obj b/data/sceneparts/tree10/leaves.341.obj new file mode 100644 index 000000000..ef66adbc2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.341.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.341 +v -0.255586 -0.074119 2.042775 +v -0.338613 -0.061642 2.021270 +v -0.284430 -0.089560 2.028742 +v -0.282095 -0.050359 2.042471 +v -0.309770 -0.046200 2.035302 +v -0.312105 -0.085402 2.021574 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2813 -0.3022 0.9108 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.342.obj b/data/sceneparts/tree10/leaves.342.obj new file mode 100644 index 000000000..332cb0e43 --- /dev/null +++ b/data/sceneparts/tree10/leaves.342.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.342 +v -0.259153 -0.075470 2.043264 +v -0.283125 -0.083464 2.046439 +v -0.301588 -0.116269 2.023785 +v -0.263471 -0.094675 2.027103 +v -0.277616 -0.108274 2.020611 +v -0.297270 -0.097064 2.039946 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3091 -0.6520 0.6923 +vn 0.3091 -0.6521 0.6923 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.343.obj b/data/sceneparts/tree10/leaves.343.obj new file mode 100644 index 000000000..01646d639 --- /dev/null +++ b/data/sceneparts/tree10/leaves.343.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.343 +v -0.092086 0.092335 2.101968 +v -0.050222 0.114186 2.114289 +v -0.043491 0.195099 2.136549 +v -0.101553 0.138993 2.112701 +v -0.085354 0.173248 2.124228 +v -0.034024 0.148441 2.125816 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1507 -0.2506 0.9563 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.344.obj b/data/sceneparts/tree10/leaves.344.obj new file mode 100644 index 000000000..5c3bba37e --- /dev/null +++ b/data/sceneparts/tree10/leaves.344.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.344 +v -0.089276 0.098950 2.103137 +v -0.047782 0.097701 2.098394 +v -0.071847 0.122991 2.132532 +v -0.000893 0.133137 2.140115 +v -0.018321 0.109097 2.110720 +v -0.042386 0.134387 2.144858 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.0467 -0.7866 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.345.obj b/data/sceneparts/tree10/leaves.345.obj new file mode 100644 index 000000000..fd4d1b135 --- /dev/null +++ b/data/sceneparts/tree10/leaves.345.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.345 +v -0.085097 0.104778 2.103815 +v -0.027819 0.160216 2.077218 +v -0.080759 0.135793 2.089301 +v -0.051249 0.110723 2.100597 +v -0.032156 0.129202 2.091731 +v -0.061666 0.154272 2.080435 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0120 0.4224 0.9063 +vn 0.0120 0.4225 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 4/5/2 5/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.346.obj b/data/sceneparts/tree10/leaves.346.obj new file mode 100644 index 000000000..371a1a4af --- /dev/null +++ b/data/sceneparts/tree10/leaves.346.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.346 +v -0.081189 0.108234 2.103922 +v -0.056762 0.124516 2.103464 +v -0.051351 0.168735 2.127559 +v -0.085724 0.132286 2.120137 +v -0.075778 0.152453 2.128016 +v -0.046816 0.144683 2.111343 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3364 -0.4820 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.347.obj b/data/sceneparts/tree10/leaves.347.obj new file mode 100644 index 000000000..812770513 --- /dev/null +++ b/data/sceneparts/tree10/leaves.347.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.347 +v -0.087298 0.105408 2.104436 +v -0.063071 0.129611 2.111261 +v -0.063714 0.165844 2.159377 +v -0.095802 0.121495 2.134239 +v -0.087941 0.141641 2.152552 +v -0.055210 0.149757 2.129574 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.5289 -0.6746 0.5150 +vn 0.5288 -0.6746 0.5150 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.348.obj b/data/sceneparts/tree10/leaves.348.obj new file mode 100644 index 000000000..b762a4c04 --- /dev/null +++ b/data/sceneparts/tree10/leaves.348.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.348 +v -0.086802 0.112448 2.106195 +v -0.061171 0.120636 2.110511 +v -0.048368 0.165306 2.117634 +v -0.086811 0.139498 2.109505 +v -0.074000 0.157117 2.113318 +v -0.048359 0.138255 2.114324 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1273 -0.1205 0.9845 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.349.obj b/data/sceneparts/tree10/leaves.349.obj new file mode 100644 index 000000000..ee5db43b2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.349.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.349 +v 0.131803 -0.155936 2.165489 +v 0.128864 -0.200565 2.183619 +v 0.193843 -0.251576 2.193935 +v 0.176101 -0.175067 2.166323 +v 0.196782 -0.206947 2.175805 +v 0.149544 -0.232445 2.193102 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.1402 0.3647 0.9205 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.350.obj b/data/sceneparts/tree10/leaves.350.obj new file mode 100644 index 000000000..13743fd53 --- /dev/null +++ b/data/sceneparts/tree10/leaves.350.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.350 +v 0.134743 -0.161795 2.169034 +v 0.182263 -0.163599 2.167120 +v 0.148361 -0.207076 2.174441 +v 0.226449 -0.232423 2.174271 +v 0.178929 -0.230619 2.176186 +v 0.212832 -0.187141 2.168865 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0449 0.1317 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.351.obj b/data/sceneparts/tree10/leaves.351.obj new file mode 100644 index 000000000..cdef3a082 --- /dev/null +++ b/data/sceneparts/tree10/leaves.351.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.351 +v 0.137345 -0.166978 2.172171 +v 0.136906 -0.174255 2.136506 +v 0.186652 -0.168938 2.098554 +v 0.170655 -0.161007 2.158758 +v 0.187091 -0.161661 2.134219 +v 0.153342 -0.174909 2.111967 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.2471 -0.9500 0.1908 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.352.obj b/data/sceneparts/tree10/leaves.352.obj new file mode 100644 index 000000000..80784e42c --- /dev/null +++ b/data/sceneparts/tree10/leaves.352.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.352 +v 0.140210 -0.172686 2.175625 +v 0.120120 -0.193078 2.186614 +v 0.131154 -0.228748 2.224081 +v 0.154263 -0.189669 2.196939 +v 0.151245 -0.208356 2.213091 +v 0.117101 -0.211765 2.202766 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.2781 0.6534 0.7040 +vn -0.2782 0.6534 0.7040 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.353.obj b/data/sceneparts/tree10/leaves.353.obj new file mode 100644 index 000000000..d2dafb604 --- /dev/null +++ b/data/sceneparts/tree10/leaves.353.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.353 +v 0.142924 -0.178094 2.178897 +v 0.155858 -0.207449 2.241259 +v 0.163720 -0.185286 2.197486 +v 0.130752 -0.190471 2.201883 +v 0.135063 -0.200256 2.222670 +v 0.168031 -0.195071 2.218273 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0823 0.8950 0.4384 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.354.obj b/data/sceneparts/tree10/leaves.354.obj new file mode 100644 index 000000000..e3a650fce --- /dev/null +++ b/data/sceneparts/tree10/leaves.354.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.354 +v 0.158990 0.071822 2.291795 +v 0.199712 0.066311 2.316611 +v 0.259667 0.123227 2.321479 +v 0.185386 0.111602 2.286768 +v 0.218945 0.128737 2.296663 +v 0.233271 0.083446 2.326505 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4390 0.3934 0.8078 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.355.obj b/data/sceneparts/tree10/leaves.355.obj new file mode 100644 index 000000000..2de572e5a --- /dev/null +++ b/data/sceneparts/tree10/leaves.355.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.355 +v 0.161404 0.073038 2.294492 +v 0.197492 0.081846 2.336972 +v 0.188667 0.152946 2.402874 +v 0.143491 0.117502 2.324267 +v 0.152579 0.144138 2.360394 +v 0.206580 0.108482 2.373099 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5386 -0.6078 0.5836 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.356.obj b/data/sceneparts/tree10/leaves.356.obj new file mode 100644 index 000000000..50ec4a821 --- /dev/null +++ b/data/sceneparts/tree10/leaves.356.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.356 +v 0.163718 0.074205 2.297079 +v 0.188641 0.055377 2.321100 +v 0.199352 0.072045 2.386121 +v 0.162552 0.091593 2.332419 +v 0.174430 0.090873 2.362100 +v 0.200519 0.054657 2.350780 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.7355 -0.6172 0.2794 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.357.obj b/data/sceneparts/tree10/leaves.357.obj new file mode 100644 index 000000000..9562cb982 --- /dev/null +++ b/data/sceneparts/tree10/leaves.357.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.357 +v 0.166033 0.075372 2.299666 +v 0.198777 0.051383 2.290402 +v 0.266087 0.064507 2.311747 +v 0.199991 0.092117 2.316984 +v 0.233342 0.088495 2.321011 +v 0.232129 0.047762 2.294429 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.1583 -0.5363 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.358.obj b/data/sceneparts/tree10/leaves.358.obj new file mode 100644 index 000000000..8421889c6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.358.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.358 +v 0.168347 0.076538 2.302253 +v 0.185474 0.105947 2.295452 +v 0.237204 0.121721 2.321127 +v 0.197125 0.077252 2.321638 +v 0.220077 0.092313 2.327929 +v 0.208426 0.121008 2.301743 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.5033 0.4620 0.7302 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree10/leaves.359.obj b/data/sceneparts/tree10/leaves.359.obj new file mode 100644 index 000000000..d094ab93d --- /dev/null +++ b/data/sceneparts/tree10/leaves.359.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.359 +v 0.170661 0.077705 2.304840 +v 0.191544 0.077141 2.288734 +v 0.192788 0.096387 2.247519 +v 0.164530 0.090723 2.282732 +v 0.171905 0.096950 2.263626 +v 0.198920 0.083369 2.269627 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.3366 0.8493 0.4067 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.360.obj b/data/sceneparts/tree10/leaves.360.obj new file mode 100644 index 000000000..61531c47c --- /dev/null +++ b/data/sceneparts/tree10/leaves.360.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.360 +v -0.025497 0.018030 2.323589 +v 0.014066 -0.002205 2.348570 +v 0.020521 -0.006771 2.436152 +v -0.034381 0.021730 2.373649 +v -0.019041 0.013463 2.411170 +v 0.029405 -0.010472 2.386091 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.4485 -0.8937 -0.0135 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.361.obj b/data/sceneparts/tree10/leaves.361.obj new file mode 100644 index 000000000..a21e91d56 --- /dev/null +++ b/data/sceneparts/tree10/leaves.361.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.361 +v -0.025143 0.019217 2.327873 +v 0.017833 0.104651 2.375144 +v -0.032989 0.060247 2.341101 +v 0.011354 0.035143 2.346159 +v 0.025679 0.063621 2.361916 +v -0.018664 0.088725 2.356858 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.2963 -0.3439 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.362.obj b/data/sceneparts/tree10/leaves.362.obj new file mode 100644 index 000000000..744f13f9c --- /dev/null +++ b/data/sceneparts/tree10/leaves.362.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.362 +v -0.024789 0.020404 2.332157 +v -0.013594 0.035310 2.353537 +v -0.036918 0.070951 2.377624 +v -0.044070 0.039196 2.341088 +v -0.048113 0.056045 2.356244 +v -0.017637 0.052159 2.368693 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.3520 -0.6712 0.6523 +vn -0.3521 -0.6712 0.6523 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.363.obj b/data/sceneparts/tree10/leaves.363.obj new file mode 100644 index 000000000..b8057f552 --- /dev/null +++ b/data/sceneparts/tree10/leaves.363.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.363 +v -0.003623 0.014550 2.407591 +v 0.013710 -0.017807 2.438660 +v 0.069434 -0.000951 2.497760 +v 0.027748 0.036573 2.436635 +v 0.052101 0.031406 2.466691 +v 0.038062 -0.022974 2.468716 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.7404 0.2149 0.6369 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.364.obj b/data/sceneparts/tree10/leaves.364.obj new file mode 100644 index 000000000..0e5a6c38e --- /dev/null +++ b/data/sceneparts/tree10/leaves.364.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.364 +v -0.002025 0.012751 2.409353 +v -0.003766 -0.030630 2.432619 +v 0.016712 -0.042236 2.514263 +v 0.012207 0.019473 2.456027 +v 0.018452 0.001144 2.490997 +v 0.002480 -0.048958 2.467589 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.9479 0.1792 0.2632 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.365.obj b/data/sceneparts/tree10/leaves.365.obj new file mode 100644 index 000000000..c5de3b11d --- /dev/null +++ b/data/sceneparts/tree10/leaves.365.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.365 +v -0.000611 0.011159 2.410911 +v -0.001868 -0.014141 2.443936 +v 0.048784 -0.062397 2.460079 +v 0.033576 -0.012579 2.410665 +v 0.050041 -0.037097 2.427055 +v 0.014597 -0.038659 2.460326 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.4810 0.6871 0.5446 +vn 0.4810 0.6870 0.5446 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.366.obj b/data/sceneparts/tree10/leaves.366.obj new file mode 100644 index 000000000..2ed014726 --- /dev/null +++ b/data/sceneparts/tree10/leaves.366.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.366 +v 0.000946 0.009405 2.412628 +v 0.027857 -0.004665 2.413558 +v -0.003685 -0.019797 2.419617 +v 0.034366 -0.055504 2.424506 +v 0.007455 -0.041433 2.423576 +v 0.038997 -0.026302 2.417517 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn 0.0813 0.2198 0.9722 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.367.obj b/data/sceneparts/tree10/leaves.367.obj new file mode 100644 index 000000000..152f922e2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.367.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.367 +v 0.002421 0.007744 2.414254 +v 0.024367 0.017960 2.425570 +v 0.020865 -0.011522 2.415892 +v 0.063005 -0.005833 2.433685 +v 0.044562 0.013434 2.432047 +v 0.041059 -0.016048 2.422369 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.3467 -0.2551 0.9026 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.368.obj b/data/sceneparts/tree10/leaves.368.obj new file mode 100644 index 000000000..3b8c3c4f2 --- /dev/null +++ b/data/sceneparts/tree10/leaves.368.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.368 +v -0.035523 0.059323 2.425644 +v -0.037972 0.083378 2.477805 +v -0.096683 0.052037 2.551336 +v -0.073847 0.030411 2.457278 +v -0.094234 0.027982 2.499175 +v -0.058358 0.080950 2.519702 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn 0.7238 -0.6130 0.3167 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.369.obj b/data/sceneparts/tree10/leaves.369.obj new file mode 100644 index 000000000..6c488567c --- /dev/null +++ b/data/sceneparts/tree10/leaves.369.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.369 +v -0.036091 0.060714 2.429531 +v -0.081755 0.183727 2.440574 +v -0.021824 0.112290 2.437386 +v -0.080801 0.091147 2.429039 +v -0.096022 0.132151 2.432720 +v -0.037045 0.153294 2.441067 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vn -0.0953 -0.1240 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.370.obj b/data/sceneparts/tree10/leaves.370.obj new file mode 100644 index 000000000..2de5ad62c --- /dev/null +++ b/data/sceneparts/tree10/leaves.370.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.370 +v -0.036594 0.061944 2.432970 +v -0.017425 0.092509 2.432081 +v -0.042118 0.149423 2.426922 +v -0.059445 0.089699 2.429827 +v -0.061286 0.118859 2.427811 +v -0.019267 0.121668 2.430065 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0578 0.0652 0.9962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.371.obj b/data/sceneparts/tree10/leaves.371.obj new file mode 100644 index 000000000..eb10f26d6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.371.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.371 +v -0.037147 0.063300 2.436758 +v -0.028697 0.089974 2.447803 +v -0.054660 0.134313 2.440533 +v -0.057273 0.083967 2.428229 +v -0.063110 0.107639 2.429488 +v -0.034534 0.113645 2.449062 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.5311 -0.1750 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.372.obj b/data/sceneparts/tree10/leaves.372.obj new file mode 100644 index 000000000..61e8730b6 --- /dev/null +++ b/data/sceneparts/tree10/leaves.372.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.372 +v -0.037672 0.064584 2.440346 +v -0.037230 0.088296 2.443096 +v -0.070727 0.112222 2.444427 +v -0.060150 0.072631 2.440317 +v -0.071168 0.088510 2.441677 +v -0.048248 0.104175 2.444457 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.0422 -0.1143 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.obj b/data/sceneparts/tree10/leaves.obj new file mode 100644 index 000000000..fb84a1c85 --- /dev/null +++ b/data/sceneparts/tree10/leaves.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o leaves +v 0.228911 0.158182 0.759804 +v 0.276201 0.141085 0.796402 +v 0.300487 0.151374 0.839434 +v 0.301769 0.189049 0.888901 +v 0.254479 0.206147 0.852303 +v 0.230193 0.195858 0.809271 +vt 0.500000 0.000000 +vt 0.260000 0.333333 +vt 0.260000 0.666667 +vt 0.500000 1.000000 +vt 0.740000 0.666667 +vt 0.740000 0.333333 +vn -0.6064 -0.6249 0.4917 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 3/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 6/6/1 diff --git a/data/sceneparts/tree10/tree.obj b/data/sceneparts/tree10/tree.obj new file mode 100644 index 000000000..31fed3d19 --- /dev/null +++ b/data/sceneparts/tree10/tree.obj @@ -0,0 +1,41166 @@ +# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' +# www.blender.org +o tree +v -0.031030 -0.031030 0.000000 +v -0.000000 -0.043883 0.000000 +v 0.031030 -0.031030 0.000000 +v 0.043883 -0.000000 0.000000 +v 0.031030 0.031030 0.000000 +v 0.000000 0.043883 0.000000 +v -0.031030 0.031030 0.000000 +v -0.043883 0.000000 0.000000 +v -0.026905 -0.026994 0.088588 +v 0.000059 -0.038163 0.088566 +v 0.027022 -0.026994 0.088552 +v 0.038191 -0.000030 0.088554 +v 0.027022 0.026934 0.088571 +v 0.000059 0.038102 0.088593 +v -0.026905 0.026934 0.088607 +v -0.038074 -0.000030 0.088605 +v -0.022781 -0.022958 0.177156 +v 0.000117 -0.032443 0.177163 +v 0.023015 -0.022958 0.177168 +v 0.032499 -0.000061 0.177167 +v 0.023015 0.022837 0.177162 +v 0.000117 0.032322 0.177155 +v -0.022781 0.022837 0.177150 +v -0.032265 -0.000060 0.177151 +v -0.018831 -0.018832 0.276226 +v -0.000000 -0.026632 0.276290 +v 0.018831 -0.018831 0.276331 +v 0.026632 0.000000 0.276324 +v 0.018831 0.018832 0.276275 +v 0.000000 0.026632 0.276210 +v -0.018831 0.018831 0.276169 +v -0.026632 -0.000000 0.276176 +v -0.018634 -0.017987 0.371790 +v -0.000421 -0.025531 0.371911 +v 0.017792 -0.017987 0.371987 +v 0.025336 0.000226 0.371975 +v 0.017792 0.018439 0.371882 +v -0.000421 0.025983 0.371762 +v -0.018634 0.018439 0.371685 +v -0.026178 0.000226 0.371697 +v -0.018561 -0.017078 0.456865 +v -0.000967 -0.024366 0.456976 +v 0.016628 -0.017078 0.457048 +v 0.023916 0.000517 0.457039 +v 0.016628 0.018111 0.456955 +v -0.000966 0.025399 0.456844 +v -0.018561 0.018111 0.456771 +v -0.025849 0.000516 0.456780 +v -0.018326 -0.016279 0.552464 +v -0.001350 -0.023311 0.552489 +v 0.015627 -0.016279 0.552519 +v 0.022659 0.000697 0.552535 +v 0.015627 0.017674 0.552528 +v -0.001350 0.024706 0.552503 +v -0.018326 0.017674 0.552473 +v -0.025358 0.000697 0.552457 +v -0.017636 -0.015894 0.648058 +v -0.001278 -0.022670 0.648003 +v 0.015080 -0.015894 0.647993 +v 0.021855 0.000464 0.648034 +v 0.015080 0.016822 0.648101 +v -0.001278 0.023598 0.648156 +v -0.017636 0.016822 0.648166 +v -0.024412 0.000464 0.648125 +v -0.016744 -0.015632 0.733159 +v -0.001004 -0.022152 0.733133 +v 0.014735 -0.015632 0.733118 +v 0.021255 0.000108 0.733122 +v 0.014735 0.015847 0.733144 +v -0.001005 0.022367 0.733170 +v -0.016744 0.015847 0.733186 +v -0.023264 0.000108 0.733181 +v -0.016181 -0.014772 0.828792 +v -0.001060 -0.021035 0.828908 +v 0.014061 -0.014772 0.828921 +v 0.020325 0.000349 0.828824 +v 0.014062 0.015470 0.828674 +v -0.001059 0.021733 0.828558 +v -0.016181 0.015469 0.828545 +v -0.022444 0.000348 0.828642 +v -0.016325 -0.012832 0.924414 +v -0.001823 -0.018837 0.924662 +v 0.012680 -0.012829 0.924703 +v 0.018688 0.001673 0.924511 +v 0.012682 0.016173 0.924201 +v -0.001820 0.022178 0.923953 +v -0.016323 0.016170 0.923912 +v -0.022331 0.001668 0.924104 +v -0.016720 -0.010446 1.009476 +v -0.002836 -0.016195 1.009696 +v 0.011048 -0.010444 1.009720 +v 0.016800 0.003439 1.009536 +v 0.011050 0.017321 1.009250 +v -0.002833 0.023071 1.009030 +v -0.016718 0.017319 1.009005 +v -0.022470 0.003436 1.009189 +v -0.016649 -0.008573 1.105021 +v -0.003383 -0.014069 1.105043 +v 0.009884 -0.008574 1.105004 +v 0.015379 0.004692 1.104926 +v 0.009884 0.017958 1.104856 +v -0.003382 0.023453 1.104833 +v -0.016648 0.017959 1.104872 +v -0.022144 0.004693 1.104950 +v -0.015364 -0.008141 1.200534 +v -0.002717 -0.013380 1.200374 +v 0.009931 -0.008142 1.200275 +v 0.015170 0.004506 1.200295 +v 0.009933 0.017153 1.200423 +v -0.002714 0.022392 1.200583 +v -0.015361 0.017154 1.200682 +v -0.020601 0.004506 1.200662 +v -0.013598 -0.008354 1.285551 +v -0.001569 -0.013337 1.285442 +v 0.010460 -0.008355 1.285374 +v 0.015444 0.003674 1.285386 +v 0.010462 0.015704 1.285472 +v -0.001567 0.020687 1.285581 +v -0.013596 0.015705 1.285649 +v -0.018580 0.003676 1.285637 +v -0.012859 -0.007580 1.381091 +v -0.001449 -0.012306 1.381240 +v 0.009962 -0.007580 1.381275 +v 0.014689 0.003831 1.381177 +v 0.009964 0.015241 1.381002 +v -0.001447 0.019967 1.380853 +v -0.012858 0.015240 1.380818 +v -0.017585 0.003830 1.380916 +v -0.013903 -0.004826 1.476633 +v -0.003115 -0.009291 1.477013 +v 0.007676 -0.004818 1.477140 +v 0.012149 0.005972 1.476941 +v 0.007683 0.016759 1.476532 +v -0.003105 0.021224 1.476153 +v -0.013896 0.016751 1.476025 +v -0.018369 0.005961 1.476224 +v -0.015798 -0.001319 1.561579 +v -0.005629 -0.005527 1.561969 +v 0.004543 -0.001310 1.562129 +v 0.008759 0.008863 1.561967 +v 0.004549 0.019031 1.561577 +v -0.005620 0.023240 1.561187 +v -0.015792 0.019023 1.561027 +v -0.020008 0.008850 1.561189 +v -0.017524 0.001240 1.657010 +v -0.007969 -0.002715 1.657211 +v 0.001585 0.001246 1.657351 +v 0.005541 0.010802 1.657349 +v 0.001582 0.020357 1.657204 +v -0.007973 0.024313 1.657003 +v -0.017527 0.020352 1.656863 +v -0.021483 0.010795 1.656865 +v -0.017973 0.001385 1.752330 +v -0.009034 -0.002314 1.752364 +v -0.000098 0.001390 1.752486 +v 0.003600 0.010328 1.752624 +v -0.000105 0.019264 1.752698 +v -0.009044 0.022964 1.752664 +v -0.017980 0.019259 1.752542 +v -0.021679 0.010321 1.752404 +v -0.017881 0.000408 1.837244 +v -0.009561 -0.003036 1.837308 +v -0.001244 0.000412 1.837446 +v 0.002199 0.008732 1.837578 +v -0.001250 0.017050 1.837626 +v -0.009570 0.020494 1.837563 +v -0.017888 0.017046 1.837425 +v -0.021330 0.008726 1.837293 +v -0.018987 0.000749 1.932693 +v -0.011288 -0.002439 1.932923 +v -0.003590 0.000753 1.933097 +v -0.000401 0.008454 1.933111 +v -0.003590 0.016154 1.932958 +v -0.011288 0.019342 1.932728 +v -0.018987 0.016150 1.932554 +v -0.022175 0.008449 1.932540 +v -0.021654 0.003363 2.028214 +v -0.014579 0.000434 2.028583 +v -0.007500 0.003370 2.028784 +v -0.004564 0.010451 2.028700 +v -0.007491 0.017529 2.028379 +v -0.014566 0.020458 2.028011 +v -0.021645 0.017522 2.027810 +v -0.024580 0.010441 2.027894 +v -0.024951 0.007063 2.113144 +v -0.018496 0.004391 2.113536 +v -0.012036 0.007072 2.113736 +v -0.009355 0.013534 2.113626 +v -0.012024 0.019992 2.113271 +v -0.018478 0.022663 2.112879 +v -0.024938 0.019983 2.112679 +v -0.027619 0.013521 2.112789 +v -0.028687 0.011085 2.208547 +v -0.022848 0.008668 2.208866 +v -0.017005 0.011091 2.209037 +v -0.014582 0.016936 2.208958 +v -0.016997 0.022777 2.208678 +v -0.022835 0.025194 2.208359 +v -0.028678 0.022771 2.208188 +v -0.031102 0.016927 2.208266 +v -0.002241 0.002777 0.682536 +v -0.001310 0.000254 0.683649 +v -0.000298 -0.002238 0.682536 +v 0.000202 -0.003239 0.679849 +v -0.000102 -0.002163 0.677162 +v -0.001033 0.000361 0.676049 +v -0.002045 0.002853 0.677162 +v -0.002545 0.003854 0.679849 +v 0.015929 0.009544 0.683345 +v 0.016820 0.007023 0.684450 +v 0.017799 0.004536 0.683342 +v 0.018292 0.003540 0.680671 +v 0.018011 0.004618 0.678001 +v 0.017120 0.007139 0.676896 +v 0.016141 0.009626 0.678004 +v 0.015647 0.010623 0.680675 +v 0.034046 0.016292 0.684152 +v 0.034979 0.013804 0.685252 +v 0.035990 0.011347 0.684153 +v 0.036485 0.010359 0.681498 +v 0.036176 0.011419 0.678843 +v 0.035243 0.013906 0.677743 +v 0.034233 0.016364 0.678842 +v 0.033737 0.017352 0.681497 +v 0.054131 0.024564 0.684849 +v 0.055104 0.022110 0.685944 +v 0.056092 0.019661 0.684851 +v 0.056516 0.018651 0.682211 +v 0.056128 0.019673 0.679570 +v 0.055155 0.022127 0.678476 +v 0.054167 0.024577 0.679569 +v 0.053743 0.025586 0.682208 +v 0.074044 0.032251 0.684438 +v 0.075049 0.029828 0.685526 +v 0.076002 0.027382 0.684440 +v 0.076345 0.026348 0.681817 +v 0.075877 0.027330 0.679193 +v 0.074872 0.029754 0.678106 +v 0.073919 0.032199 0.679192 +v 0.073576 0.033234 0.681815 +v 0.091110 0.039337 0.683794 +v 0.092343 0.037039 0.684875 +v 0.093630 0.034770 0.683797 +v 0.094216 0.033859 0.681190 +v 0.093758 0.034839 0.678583 +v 0.092525 0.037136 0.677502 +v 0.091238 0.039405 0.678581 +v 0.090652 0.040316 0.681187 +v 0.107125 0.050568 0.685506 +v 0.108765 0.048590 0.686630 +v 0.110700 0.046818 0.685639 +v 0.111796 0.046290 0.683111 +v 0.111412 0.047315 0.680529 +v 0.109772 0.049294 0.679404 +v 0.107837 0.051066 0.680396 +v 0.106740 0.051594 0.682923 +v 0.118604 0.065707 0.690156 +v 0.120547 0.064138 0.691393 +v 0.122964 0.063001 0.690595 +v 0.124438 0.062962 0.688229 +v 0.124106 0.064045 0.685682 +v 0.122163 0.065614 0.684446 +v 0.119746 0.066751 0.685244 +v 0.118272 0.066790 0.687609 +v 0.125589 0.081927 0.696399 +v 0.127566 0.080453 0.697660 +v 0.130068 0.079511 0.696937 +v 0.131629 0.079651 0.694653 +v 0.131335 0.080792 0.692146 +v 0.129357 0.082266 0.690886 +v 0.126855 0.083209 0.691609 +v 0.125295 0.083068 0.693892 +v 0.135457 0.099642 0.703649 +v 0.137307 0.097977 0.704824 +v 0.139634 0.096763 0.703997 +v 0.141075 0.096711 0.701653 +v 0.140786 0.097850 0.699165 +v 0.138936 0.099514 0.697990 +v 0.136608 0.100728 0.698817 +v 0.135167 0.100781 0.701161 +v 0.148089 0.116108 0.709413 +v 0.149800 0.114282 0.710517 +v 0.151930 0.112831 0.709605 +v 0.153232 0.112604 0.707211 +v 0.152944 0.113735 0.704738 +v 0.151234 0.115561 0.703635 +v 0.149103 0.117012 0.704547 +v 0.147801 0.117239 0.706941 +v 0.160421 0.129641 0.714412 +v 0.161888 0.127580 0.715402 +v 0.163859 0.125983 0.714429 +v 0.165178 0.125785 0.712063 +v 0.165073 0.127101 0.709689 +v 0.163606 0.129162 0.708698 +v 0.161636 0.130760 0.709671 +v 0.160316 0.130958 0.712038 +v 0.175420 0.141615 0.722538 +v 0.176479 0.139252 0.723300 +v 0.178265 0.137529 0.722238 +v 0.179732 0.137455 0.719973 +v 0.180020 0.139074 0.717833 +v 0.178961 0.141437 0.717070 +v 0.177175 0.143160 0.718132 +v 0.175709 0.143233 0.720397 +v 0.191092 0.149562 0.733573 +v 0.191724 0.146998 0.734039 +v 0.193315 0.145192 0.732856 +v 0.194933 0.145202 0.730718 +v 0.195631 0.147022 0.728877 +v 0.194999 0.149586 0.728411 +v 0.193408 0.151392 0.729593 +v 0.191790 0.151382 0.731731 +v 0.205462 0.153307 0.745200 +v 0.205901 0.150698 0.745516 +v 0.207393 0.148875 0.744272 +v 0.209063 0.148905 0.742197 +v 0.209934 0.150771 0.740507 +v 0.209495 0.153380 0.740192 +v 0.208004 0.155203 0.741436 +v 0.206333 0.155172 0.743510 +v 0.221554 0.157652 0.758160 +v 0.222121 0.155101 0.758577 +v 0.223664 0.153309 0.757390 +v 0.225280 0.153326 0.755294 +v 0.226022 0.155142 0.753518 +v 0.225455 0.157693 0.753101 +v 0.223912 0.159485 0.754289 +v 0.222296 0.159468 0.756384 +v -0.003776 -0.000005 0.705578 +v -0.001086 -0.000002 0.706690 +v 0.001601 0.000121 0.705578 +v 0.002711 0.000292 0.702893 +v 0.001594 0.000411 0.700207 +v -0.001096 0.000407 0.699095 +v -0.003783 0.000284 0.700207 +v -0.004893 0.000113 0.702893 +v -0.002851 0.017210 0.707162 +v -0.000181 0.016967 0.708249 +v 0.002487 0.016930 0.707132 +v 0.003591 0.017120 0.704464 +v 0.002484 0.017426 0.701809 +v -0.000186 0.017668 0.700722 +v -0.002855 0.017706 0.701839 +v -0.003959 0.017516 0.704507 +v -0.001927 0.034186 0.708729 +v 0.000726 0.034293 0.709833 +v 0.003378 0.034482 0.708737 +v 0.004475 0.034643 0.706084 +v 0.003374 0.034680 0.703427 +v 0.000721 0.034573 0.702324 +v -0.001931 0.034384 0.703420 +v -0.003028 0.034223 0.706073 +v -0.004908 0.052302 0.708378 +v -0.002433 0.053257 0.709441 +v 0.000103 0.053967 0.708331 +v 0.001214 0.054016 0.705699 +v 0.000250 0.053376 0.703086 +v -0.002225 0.052421 0.702023 +v -0.004761 0.051711 0.703133 +v -0.005873 0.051662 0.705765 +v -0.012934 0.067634 0.704683 +v -0.010855 0.069352 0.705573 +v -0.008567 0.070527 0.704369 +v -0.007411 0.070471 0.701775 +v -0.008063 0.069216 0.699312 +v -0.010142 0.067498 0.698422 +v -0.012430 0.066323 0.699627 +v -0.013587 0.066379 0.702220 +v -0.023294 0.079363 0.699553 +v -0.021348 0.081231 0.700384 +v -0.019201 0.082569 0.699131 +v -0.018112 0.082593 0.696527 +v -0.018718 0.081289 0.694098 +v -0.020664 0.079421 0.693267 +v -0.022810 0.078083 0.694520 +v -0.023899 0.078059 0.697124 +v -0.034074 0.093594 0.696114 +v -0.031862 0.095063 0.697020 +v -0.029677 0.096320 0.695789 +v -0.028799 0.096629 0.693143 +v -0.029742 0.095810 0.690632 +v -0.031954 0.094342 0.689726 +v -0.034139 0.093085 0.690957 +v -0.035017 0.092775 0.693603 +v -0.042227 0.109604 0.696748 +v -0.039802 0.110646 0.697643 +v -0.037592 0.111824 0.696419 +v -0.036891 0.112446 0.693794 +v -0.038111 0.112150 0.691305 +v -0.040537 0.111107 0.690411 +v -0.042747 0.109930 0.691634 +v -0.043447 0.109307 0.694260 +v -0.048617 0.124442 0.699427 +v -0.046206 0.125475 0.700315 +v -0.044022 0.126673 0.699103 +v -0.043346 0.127333 0.696499 +v -0.044573 0.127070 0.694030 +v -0.046985 0.126037 0.693142 +v -0.049168 0.124839 0.694355 +v -0.049844 0.124179 0.696958 +v -0.057108 0.140750 0.700663 +v -0.054865 0.142068 0.701560 +v -0.052705 0.143275 0.700356 +v -0.051892 0.143662 0.697756 +v -0.052903 0.143005 0.695282 +v -0.055146 0.141687 0.694385 +v -0.057307 0.140480 0.695589 +v -0.058120 0.140093 0.698189 +v -0.066885 0.156253 0.698415 +v -0.064825 0.157832 0.699275 +v -0.062685 0.159041 0.698077 +v -0.061717 0.159170 0.695523 +v -0.062489 0.158145 0.693109 +v -0.064549 0.156566 0.692248 +v -0.066690 0.155358 0.693446 +v -0.067657 0.155228 0.696000 +v -0.076218 0.169032 0.694894 +v -0.074283 0.170753 0.695717 +v -0.072263 0.172098 0.694496 +v -0.071341 0.172280 0.691947 +v -0.072056 0.171191 0.689563 +v -0.073990 0.169470 0.688740 +v -0.076010 0.168124 0.689961 +v -0.076933 0.167943 0.692510 +v -0.087720 0.182333 0.692764 +v -0.085869 0.184125 0.693570 +v -0.084092 0.185726 0.692320 +v -0.083428 0.186198 0.689747 +v -0.084267 0.185264 0.687357 +v -0.086118 0.183472 0.686552 +v -0.087895 0.181871 0.687802 +v -0.088559 0.181399 0.690375 +v -0.100343 0.194675 0.693327 +v -0.098586 0.196535 0.694129 +v -0.097072 0.198371 0.692894 +v -0.096686 0.199107 0.690345 +v -0.097656 0.198312 0.687974 +v -0.099413 0.196452 0.687172 +v -0.100927 0.194616 0.688407 +v -0.101313 0.193880 0.690956 +v -0.112661 0.204842 0.695366 +v -0.110966 0.206733 0.696170 +v -0.109575 0.208655 0.694959 +v -0.109304 0.209482 0.692441 +v -0.110311 0.208731 0.690093 +v -0.112007 0.206840 0.689288 +v -0.113398 0.204918 0.690500 +v -0.113669 0.204091 0.693018 +v -0.126755 0.216560 0.697632 +v -0.125036 0.218408 0.698425 +v -0.123574 0.220250 0.697210 +v -0.123226 0.221005 0.694698 +v -0.124196 0.220232 0.692360 +v -0.125915 0.218383 0.691567 +v -0.127377 0.216542 0.692782 +v -0.127724 0.215787 0.695294 +v 0.001549 -0.000761 0.737006 +v -0.000914 0.000320 0.738118 +v -0.003429 0.001275 0.737006 +v -0.004522 0.001545 0.734322 +v -0.003553 0.000972 0.731638 +v -0.001090 -0.000109 0.730526 +v 0.001425 -0.001064 0.731638 +v 0.002518 -0.001334 0.734322 +v -0.005180 -0.016526 0.738017 +v -0.007614 -0.015418 0.739120 +v -0.010099 -0.014432 0.738012 +v -0.011178 -0.014147 0.735343 +v -0.010220 -0.014728 0.732676 +v -0.007785 -0.015837 0.731573 +v -0.005301 -0.016822 0.732681 +v -0.004222 -0.017108 0.735350 +v -0.011871 -0.032201 0.739022 +v -0.014310 -0.031146 0.740121 +v -0.016800 -0.030217 0.739024 +v -0.017883 -0.029958 0.736373 +v -0.016924 -0.030519 0.733721 +v -0.014485 -0.031574 0.732621 +v -0.011995 -0.032503 0.733719 +v -0.010912 -0.032762 0.736370 +v -0.018609 -0.049912 0.740201 +v -0.021088 -0.049013 0.741303 +v -0.023617 -0.048238 0.740222 +v -0.024716 -0.048042 0.737592 +v -0.023741 -0.048540 0.734952 +v -0.021262 -0.049440 0.733850 +v -0.018733 -0.050215 0.734931 +v -0.017634 -0.050410 0.737561 +v -0.023718 -0.067479 0.741290 +v -0.026228 -0.066741 0.742396 +v -0.028789 -0.066128 0.741332 +v -0.029901 -0.065999 0.738721 +v -0.028912 -0.066429 0.736093 +v -0.026402 -0.067167 0.734988 +v -0.023841 -0.067780 0.736052 +v -0.022729 -0.067909 0.738663 +v -0.027615 -0.083498 0.742305 +v -0.030092 -0.082703 0.743399 +v -0.032627 -0.082055 0.742339 +v -0.033734 -0.081934 0.739745 +v -0.032765 -0.082411 0.737137 +v -0.030287 -0.083206 0.736043 +v -0.027753 -0.083854 0.737103 +v -0.026646 -0.083975 0.739697 +v -0.033521 -0.101119 0.743840 +v -0.035879 -0.100032 0.744900 +v -0.038316 -0.099153 0.743824 +v -0.039403 -0.098997 0.741243 +v -0.038505 -0.099656 0.738669 +v -0.036146 -0.100743 0.737610 +v -0.033710 -0.101623 0.738685 +v -0.032622 -0.101778 0.741266 +v -0.041700 -0.117725 0.746130 +v -0.043909 -0.116362 0.747145 +v -0.046225 -0.115267 0.746047 +v -0.047291 -0.115081 0.743478 +v -0.046483 -0.115913 0.740944 +v -0.044274 -0.117277 0.739928 +v -0.041958 -0.118372 0.741027 +v -0.040892 -0.118557 0.743596 +v -0.050195 -0.131781 0.748511 +v -0.052375 -0.130400 0.749516 +v -0.054646 -0.129258 0.748416 +v -0.055679 -0.129025 0.745857 +v -0.054867 -0.129837 0.743336 +v -0.052687 -0.131219 0.742331 +v -0.050416 -0.132361 0.743431 +v -0.049384 -0.132594 0.745990 +v -0.058927 -0.147993 0.750247 +v -0.061218 -0.146858 0.751268 +v -0.063520 -0.145812 0.750183 +v -0.064487 -0.145467 0.747630 +v -0.063551 -0.146026 0.745103 +v -0.061261 -0.147160 0.744083 +v -0.058958 -0.148207 0.745167 +v -0.057991 -0.148552 0.747720 +v -0.066069 -0.165095 0.749974 +v -0.068451 -0.164212 0.750988 +v -0.070776 -0.163259 0.749910 +v -0.071684 -0.162794 0.747373 +v -0.070642 -0.163089 0.744862 +v -0.068260 -0.163972 0.743849 +v -0.065935 -0.164925 0.744926 +v -0.065027 -0.165390 0.747463 +v -0.071680 -0.180538 0.748831 +v -0.074035 -0.179633 0.749839 +v -0.076361 -0.178726 0.748768 +v -0.077295 -0.178348 0.746245 +v -0.076291 -0.178720 0.743748 +v -0.073936 -0.179625 0.742740 +v -0.071610 -0.180532 0.743812 +v -0.070675 -0.180910 0.746335 +v -0.078602 -0.197303 0.749826 +v -0.080832 -0.196141 0.750808 +v -0.083151 -0.195259 0.749744 +v -0.084201 -0.195173 0.747259 +v -0.083367 -0.195935 0.744808 +v -0.081137 -0.197098 0.743826 +v -0.078818 -0.197980 0.744889 +v -0.077768 -0.198065 0.747374 +v -0.086476 -0.213165 0.753919 +v -0.088570 -0.211763 0.754834 +v -0.090883 -0.210906 0.753783 +v -0.092060 -0.211096 0.751381 +v -0.091411 -0.212222 0.749035 +v -0.089317 -0.213624 0.748120 +v -0.087004 -0.214481 0.749171 +v -0.085827 -0.214291 0.751574 +v -0.093958 -0.226668 0.759533 +v -0.095991 -0.225185 0.760408 +v -0.098295 -0.224345 0.759368 +v -0.099520 -0.224639 0.757021 +v -0.098950 -0.225895 0.754742 +v -0.096917 -0.227378 0.753867 +v -0.094613 -0.228218 0.754907 +v -0.093388 -0.227924 0.757254 +v -0.102426 -0.242021 0.765812 +v -0.104478 -0.240611 0.766705 +v -0.106763 -0.239768 0.765669 +v -0.107940 -0.239987 0.763309 +v -0.107322 -0.241139 0.761009 +v -0.105269 -0.242550 0.760115 +v -0.102985 -0.243392 0.761151 +v -0.101807 -0.243174 0.763511 +v -0.002196 0.002497 0.777651 +v -0.001224 -0.000012 0.778761 +v -0.000095 -0.002454 0.777651 +v 0.000529 -0.003399 0.774969 +v 0.000282 -0.002294 0.772288 +v -0.000690 0.000215 0.771177 +v -0.001819 0.002657 0.772288 +v -0.002443 0.003603 0.774969 +v 0.014550 0.009436 0.779055 +v 0.015496 0.006934 0.780157 +v 0.016601 0.004499 0.779052 +v 0.017218 0.003558 0.776386 +v 0.016985 0.004662 0.773722 +v 0.016040 0.007165 0.772620 +v 0.014934 0.009599 0.773725 +v 0.014317 0.010540 0.776391 +v 0.031262 0.016361 0.780457 +v 0.032231 0.013886 0.781555 +v 0.033353 0.011476 0.780458 +v 0.033970 0.010543 0.777809 +v 0.033722 0.011633 0.775160 +v 0.032753 0.014108 0.774062 +v 0.031632 0.016518 0.775159 +v 0.031014 0.017451 0.777807 +v 0.049759 0.024490 0.781917 +v 0.050821 0.022075 0.783015 +v 0.052008 0.019713 0.781931 +v 0.052626 0.018787 0.779299 +v 0.052311 0.019840 0.776660 +v 0.051250 0.022255 0.775562 +v 0.050062 0.024617 0.776646 +v 0.049445 0.025543 0.779278 +v 0.067226 0.033245 0.782907 +v 0.068384 0.030895 0.784005 +v 0.069638 0.028584 0.782932 +v 0.070255 0.027665 0.780316 +v 0.069872 0.028677 0.777690 +v 0.068715 0.031027 0.776591 +v 0.067460 0.033338 0.777665 +v 0.066844 0.034257 0.780280 +v 0.082656 0.041457 0.783662 +v 0.083736 0.039087 0.784749 +v 0.084948 0.036772 0.783680 +v 0.085583 0.035870 0.781082 +v 0.085268 0.036909 0.778476 +v 0.084188 0.039279 0.777390 +v 0.082976 0.041594 0.778458 +v 0.082341 0.042496 0.781057 +v 0.100531 0.049429 0.785395 +v 0.101232 0.046918 0.786430 +v 0.102240 0.044537 0.785344 +v 0.102964 0.043679 0.782773 +v 0.102980 0.044848 0.780224 +v 0.102279 0.047359 0.779189 +v 0.101271 0.049741 0.780274 +v 0.100547 0.050599 0.782845 +v 0.119586 0.054212 0.789778 +v 0.119892 0.051608 0.790724 +v 0.120689 0.049185 0.789602 +v 0.121510 0.048361 0.787069 +v 0.121873 0.049619 0.784609 +v 0.121567 0.052223 0.783662 +v 0.120771 0.054647 0.784785 +v 0.119950 0.055471 0.787318 +v 0.136856 0.057121 0.794592 +v 0.137457 0.054610 0.795594 +v 0.138356 0.052229 0.794501 +v 0.139026 0.051373 0.791954 +v 0.139075 0.052544 0.789444 +v 0.138474 0.055055 0.788442 +v 0.137575 0.057436 0.789535 +v 0.136905 0.058292 0.792082 +v 0.154317 0.064845 0.795227 +v 0.155913 0.062831 0.796212 +v 0.157188 0.060649 0.795122 +v 0.157396 0.059578 0.792596 +v 0.156415 0.060245 0.790112 +v 0.154819 0.062259 0.789127 +v 0.153543 0.064440 0.790217 +v 0.153335 0.065511 0.792743 +v 0.166770 0.077744 0.788248 +v 0.169102 0.076459 0.788873 +v 0.170649 0.074560 0.787657 +v 0.170506 0.073160 0.785313 +v 0.168756 0.073078 0.783214 +v 0.166424 0.074362 0.782589 +v 0.164877 0.076261 0.783805 +v 0.165020 0.077661 0.786149 +v 0.173723 0.091491 0.778113 +v 0.176118 0.090332 0.778662 +v 0.177744 0.088578 0.777374 +v 0.177647 0.087255 0.775002 +v 0.175886 0.087140 0.772937 +v 0.173491 0.088299 0.772388 +v 0.171865 0.090053 0.773677 +v 0.171961 0.091376 0.776048 +v 0.184262 0.106005 0.771765 +v 0.186219 0.104309 0.772525 +v 0.187824 0.102552 0.771250 +v 0.188136 0.101764 0.768687 +v 0.186973 0.102407 0.766338 +v 0.185016 0.104103 0.765578 +v 0.183411 0.105860 0.766853 +v 0.183099 0.106647 0.769416 +v 0.198676 0.117994 0.772921 +v 0.200088 0.115837 0.773658 +v 0.201676 0.114086 0.772391 +v 0.202510 0.113768 0.769863 +v 0.202101 0.115068 0.767553 +v 0.200689 0.117225 0.766816 +v 0.199101 0.118975 0.768083 +v 0.198267 0.119294 0.770612 +v 0.212818 0.127034 0.778385 +v 0.214028 0.124759 0.779058 +v 0.215621 0.123030 0.777804 +v 0.216663 0.122861 0.775358 +v 0.216544 0.124351 0.773153 +v 0.215333 0.126626 0.772480 +v 0.213741 0.128355 0.773734 +v 0.212699 0.128524 0.776180 +v 0.228949 0.137474 0.784421 +v 0.230283 0.135303 0.785133 +v 0.231854 0.133579 0.783884 +v 0.232743 0.133312 0.781406 +v 0.232428 0.134659 0.779150 +v 0.231094 0.136831 0.778438 +v 0.229522 0.138555 0.779687 +v 0.228634 0.138821 0.782165 +v -0.001063 -0.002358 0.830522 +v -0.000715 0.000311 0.831631 +v -0.000567 0.002998 0.830522 +v -0.000705 0.004129 0.827844 +v -0.001049 0.003043 0.825165 +v -0.001398 0.000374 0.824056 +v -0.001546 -0.002313 0.825165 +v -0.001407 -0.003445 0.827844 +v -0.018768 -0.001845 0.831614 +v -0.018623 0.000819 0.832732 +v -0.018616 0.003499 0.831640 +v -0.018751 0.004623 0.828978 +v -0.018949 0.003534 0.826304 +v -0.019095 0.000870 0.825186 +v -0.019102 -0.001809 0.826278 +v -0.018967 -0.002934 0.828941 +v -0.036708 -0.001316 0.832724 +v -0.036282 0.001311 0.833812 +v -0.036078 0.003960 0.832711 +v -0.036216 0.005078 0.830065 +v -0.036615 0.004010 0.827425 +v -0.037041 0.001383 0.826337 +v -0.037245 -0.001266 0.827438 +v -0.037107 -0.002384 0.830084 +v -0.055969 0.002826 0.835480 +v -0.054914 0.005292 0.836467 +v -0.054261 0.007820 0.835306 +v -0.054392 0.008930 0.832675 +v -0.055231 0.007971 0.830117 +v -0.056286 0.005506 0.829129 +v -0.056939 0.002977 0.830291 +v -0.056808 0.001868 0.832921 +v -0.072738 0.011204 0.839759 +v -0.071109 0.013376 0.840595 +v -0.070044 0.015688 0.839336 +v -0.070167 0.016788 0.836720 +v -0.071407 0.016030 0.834280 +v -0.073036 0.013859 0.833444 +v -0.074101 0.011546 0.834702 +v -0.073977 0.010447 0.837318 +v -0.085761 0.021399 0.844647 +v -0.083905 0.023390 0.845393 +v -0.082703 0.025588 0.844092 +v -0.082860 0.026705 0.841504 +v -0.084284 0.026087 0.839147 +v -0.086140 0.024096 0.838400 +v -0.087341 0.021898 0.839701 +v -0.087184 0.020781 0.842289 +v -0.100002 0.032577 0.850619 +v -0.098183 0.034575 0.851372 +v -0.097079 0.036828 0.850117 +v -0.097338 0.038016 0.847589 +v -0.098808 0.037444 0.845270 +v -0.100628 0.035446 0.844517 +v -0.101731 0.033194 0.845772 +v -0.101472 0.032005 0.848299 +v -0.114394 0.042657 0.857523 +v -0.112601 0.044653 0.858279 +v -0.111590 0.046954 0.857073 +v -0.111955 0.048212 0.854613 +v -0.113480 0.047691 0.852339 +v -0.115274 0.045695 0.851584 +v -0.116284 0.043394 0.852789 +v -0.115920 0.042136 0.855250 +v -0.127143 0.051758 0.864365 +v -0.125373 0.053749 0.865121 +v -0.124331 0.056009 0.863905 +v -0.124630 0.057214 0.861429 +v -0.126093 0.056658 0.859144 +v -0.127864 0.054667 0.858388 +v -0.128905 0.052407 0.859604 +v -0.128606 0.051202 0.862080 +v -0.142130 0.062431 0.870312 +v -0.140591 0.064557 0.871139 +v -0.139485 0.066755 0.869905 +v -0.139459 0.067736 0.867335 +v -0.140530 0.066927 0.864932 +v -0.142069 0.064801 0.864105 +v -0.143176 0.062603 0.865338 +v -0.143201 0.061622 0.867909 +v -0.159836 0.072446 0.871786 +v -0.158554 0.074706 0.872638 +v -0.157389 0.076850 0.871405 +v -0.157022 0.077622 0.868807 +v -0.157668 0.076570 0.866368 +v -0.158950 0.074310 0.865515 +v -0.160115 0.072166 0.866749 +v -0.160482 0.071394 0.869346 +v -0.175860 0.081302 0.871227 +v -0.174148 0.083253 0.872031 +v -0.172781 0.085242 0.870784 +v -0.172559 0.086105 0.868218 +v -0.173612 0.085336 0.865835 +v -0.175324 0.083385 0.865031 +v -0.176692 0.081396 0.866277 +v -0.176913 0.080533 0.868844 +v -0.186926 0.094088 0.876610 +v -0.184420 0.095030 0.876950 +v -0.182795 0.096678 0.875560 +v -0.183004 0.098066 0.873254 +v -0.184925 0.098381 0.871384 +v -0.187431 0.097439 0.871044 +v -0.189055 0.095791 0.872434 +v -0.188846 0.094403 0.874739 +v -0.188012 0.107651 0.888162 +v -0.185382 0.107542 0.887647 +v -0.183722 0.108828 0.885980 +v -0.184003 0.110756 0.884138 +v -0.186060 0.112197 0.883200 +v -0.188690 0.112306 0.883715 +v -0.190350 0.111020 0.885382 +v -0.190069 0.109091 0.887224 +v -0.181054 0.118288 0.901034 +v -0.178594 0.117818 0.900125 +v -0.176999 0.118967 0.898327 +v -0.177202 0.121063 0.896695 +v -0.179085 0.122877 0.896184 +v -0.181544 0.123348 0.897094 +v -0.183139 0.122198 0.898892 +v -0.182936 0.120103 0.900524 +v -0.173562 0.130370 0.915458 +v -0.171007 0.130129 0.914810 +v -0.169383 0.131351 0.913116 +v -0.169640 0.133320 0.911367 +v -0.171628 0.134883 0.910588 +v -0.174182 0.135125 0.911236 +v -0.175807 0.133903 0.912930 +v -0.175550 0.131933 0.914679 +v 0.000810 0.002539 0.890249 +v -0.001662 0.001469 0.891353 +v -0.004002 0.000136 0.890249 +v -0.004840 -0.000679 0.887583 +v -0.003685 -0.000499 0.884917 +v -0.001214 0.000571 0.883813 +v 0.001127 0.001905 0.884917 +v 0.001965 0.002720 0.887583 +v 0.007190 -0.010362 0.892347 +v 0.004724 -0.011406 0.893441 +v 0.002401 -0.012738 0.892345 +v 0.001583 -0.013578 0.889700 +v 0.002748 -0.013433 0.887056 +v 0.005215 -0.012389 0.885961 +v 0.007537 -0.011058 0.887058 +v 0.008356 -0.010218 0.889703 +v 0.013601 -0.023325 0.894454 +v 0.011163 -0.024390 0.895546 +v 0.008850 -0.025705 0.894455 +v 0.008017 -0.026499 0.891820 +v 0.009151 -0.026307 0.889185 +v 0.011588 -0.025241 0.888093 +v 0.013902 -0.023927 0.889184 +v 0.014735 -0.023133 0.891819 +v 0.020950 -0.037888 0.896206 +v 0.018576 -0.039042 0.897301 +v 0.016267 -0.040328 0.896215 +v 0.015375 -0.040993 0.893582 +v 0.016424 -0.040648 0.890946 +v 0.018798 -0.039494 0.889850 +v 0.021107 -0.038208 0.890937 +v 0.021999 -0.037543 0.893569 +v 0.028431 -0.051871 0.896620 +v 0.026124 -0.053115 0.897713 +v 0.023818 -0.054373 0.896632 +v 0.022864 -0.054908 0.894010 +v 0.023821 -0.054405 0.891384 +v 0.026128 -0.053160 0.890291 +v 0.028434 -0.051902 0.891372 +v 0.029388 -0.051368 0.893993 +v 0.035163 -0.064170 0.896381 +v 0.032837 -0.065344 0.897466 +v 0.030539 -0.066582 0.896392 +v 0.029615 -0.067158 0.893788 +v 0.030607 -0.066734 0.891179 +v 0.032933 -0.065559 0.890094 +v 0.035231 -0.064322 0.891168 +v 0.036155 -0.063746 0.893773 +v 0.042007 -0.078023 0.897592 +v 0.039583 -0.078960 0.898646 +v 0.037299 -0.080190 0.897579 +v 0.036493 -0.080991 0.895014 +v 0.037638 -0.080895 0.892455 +v 0.040062 -0.079957 0.891400 +v 0.042346 -0.078727 0.892468 +v 0.043151 -0.077926 0.895033 +v 0.047900 -0.091944 0.901011 +v 0.045393 -0.092647 0.902006 +v 0.043123 -0.093869 0.900945 +v 0.042421 -0.094894 0.898450 +v 0.043698 -0.095122 0.895982 +v 0.046205 -0.094419 0.894988 +v 0.048474 -0.093198 0.896049 +v 0.049177 -0.092172 0.898544 +v 0.052538 -0.104440 0.905379 +v 0.050020 -0.105070 0.906346 +v 0.047758 -0.106266 0.905286 +v 0.047077 -0.107329 0.902821 +v 0.048376 -0.107635 0.900394 +v 0.050894 -0.107005 0.899427 +v 0.053156 -0.105809 0.900487 +v 0.053837 -0.104747 0.902952 +v 0.057985 -0.118870 0.909731 +v 0.055516 -0.119583 0.910715 +v 0.053226 -0.120660 0.909632 +v 0.052457 -0.121469 0.907117 +v 0.053659 -0.121536 0.904642 +v 0.056129 -0.120823 0.903658 +v 0.058418 -0.119747 0.904741 +v 0.059187 -0.118938 0.907257 +v 0.063544 -0.134152 0.911493 +v 0.061122 -0.134946 0.912484 +v 0.058801 -0.135891 0.911389 +v 0.057941 -0.136434 0.908851 +v 0.059046 -0.136257 0.906356 +v 0.061468 -0.135463 0.905365 +v 0.063788 -0.134518 0.906460 +v 0.064648 -0.133975 0.908998 +v 0.068298 -0.147269 0.912293 +v 0.065893 -0.148062 0.913278 +v 0.063680 -0.149235 0.912227 +v 0.062954 -0.150102 0.909757 +v 0.064142 -0.150155 0.907314 +v 0.066546 -0.149362 0.906329 +v 0.068760 -0.148189 0.907380 +v 0.069485 -0.147321 0.909850 +v 0.074140 -0.159325 0.917145 +v 0.071730 -0.160072 0.918105 +v 0.069797 -0.161773 0.917296 +v 0.069473 -0.163432 0.915192 +v 0.070947 -0.164078 0.913025 +v 0.073357 -0.163331 0.912065 +v 0.075290 -0.161630 0.912874 +v 0.075614 -0.159970 0.914978 +v 0.080410 -0.167926 0.926671 +v 0.077995 -0.168639 0.927594 +v 0.076356 -0.170725 0.927204 +v 0.076453 -0.172962 0.925730 +v 0.078228 -0.174041 0.924035 +v 0.080643 -0.173328 0.923111 +v 0.082282 -0.171242 0.923501 +v 0.082185 -0.169005 0.924975 +v 0.086202 -0.172811 0.938341 +v 0.083796 -0.173512 0.939245 +v 0.082281 -0.175696 0.939070 +v 0.082544 -0.178084 0.937918 +v 0.084431 -0.179277 0.936464 +v 0.086837 -0.178576 0.935561 +v 0.088352 -0.176392 0.935736 +v 0.088089 -0.174004 0.936887 +v 0.093070 -0.178787 0.952000 +v 0.090685 -0.179488 0.952907 +v 0.089104 -0.181585 0.952587 +v 0.089252 -0.183850 0.951227 +v 0.091044 -0.184957 0.949624 +v 0.093429 -0.184256 0.948717 +v 0.095010 -0.182159 0.949037 +v 0.094862 -0.179893 0.950397 +v -0.002075 0.004837 0.948824 +v -0.002653 0.002205 0.949925 +v -0.002898 -0.000478 0.948824 +v -0.002667 -0.001641 0.946165 +v -0.002094 -0.000603 0.943507 +v -0.001516 0.002029 0.942406 +v -0.001270 0.004712 0.943507 +v -0.001502 0.005875 0.946165 +v 0.017224 0.001670 0.951783 +v 0.016629 -0.000942 0.952874 +v 0.016364 -0.003606 0.951776 +v 0.016583 -0.004760 0.949132 +v 0.017158 -0.003729 0.946491 +v 0.017753 -0.001116 0.945400 +v 0.018019 0.001547 0.946498 +v 0.017799 0.002701 0.949141 +v 0.036467 -0.001488 0.954733 +v 0.035903 -0.004089 0.955822 +v 0.035670 -0.006741 0.954736 +v 0.035903 -0.007890 0.952110 +v 0.036466 -0.006864 0.949484 +v 0.037030 -0.004263 0.948395 +v 0.037264 -0.001611 0.949481 +v 0.037030 -0.000461 0.952107 +v 0.058145 -0.004544 0.958105 +v 0.057598 -0.007131 0.959189 +v 0.057339 -0.009763 0.958105 +v 0.057519 -0.010898 0.955489 +v 0.058033 -0.009871 0.952872 +v 0.058580 -0.007284 0.951787 +v 0.058839 -0.004652 0.952871 +v 0.058659 -0.003517 0.955488 +v 0.079402 -0.008148 0.960542 +v 0.078865 -0.010720 0.961620 +v 0.078569 -0.013330 0.960538 +v 0.078687 -0.014448 0.957930 +v 0.079149 -0.013420 0.955323 +v 0.079685 -0.010847 0.954245 +v 0.079981 -0.008238 0.955326 +v 0.079864 -0.007120 0.957935 +v 0.097896 -0.011005 0.962588 +v 0.097546 -0.013582 0.963686 +v 0.097579 -0.016211 0.962660 +v 0.097975 -0.017352 0.960109 +v 0.098504 -0.016338 0.957528 +v 0.098854 -0.013762 0.956430 +v 0.098821 -0.011133 0.957456 +v 0.098424 -0.009991 0.960007 +v 0.117457 -0.010305 0.967493 +v 0.117423 -0.012852 0.968668 +v 0.118108 -0.015436 0.967820 +v 0.119109 -0.016545 0.965446 +v 0.119841 -0.015528 0.962937 +v 0.119875 -0.012981 0.961762 +v 0.119191 -0.010397 0.962609 +v 0.118189 -0.009288 0.964983 +v 0.135301 -0.005449 0.975735 +v 0.135551 -0.007905 0.977029 +v 0.136823 -0.010317 0.976452 +v 0.138373 -0.011272 0.974342 +v 0.139293 -0.010211 0.971934 +v 0.139043 -0.007755 0.970639 +v 0.137771 -0.005343 0.971217 +v 0.136221 -0.004388 0.973327 +v 0.149616 0.002215 0.985247 +v 0.150072 -0.000124 0.986658 +v 0.151637 -0.002375 0.986264 +v 0.153394 -0.003219 0.984296 +v 0.154313 -0.002162 0.981907 +v 0.153857 0.000178 0.980497 +v 0.152292 0.002429 0.980891 +v 0.150535 0.003273 0.982858 +v 0.165702 0.012331 0.995219 +v 0.166354 0.010135 0.996745 +v 0.168062 0.007997 0.996449 +v 0.169826 0.007170 0.994505 +v 0.170612 0.008138 0.992051 +v 0.169960 0.010334 0.990526 +v 0.168252 0.012471 0.990822 +v 0.166488 0.013298 0.992766 +v 0.180926 0.024571 1.004078 +v 0.181771 0.022547 1.005710 +v 0.183632 0.020553 1.005512 +v 0.185418 0.019758 1.003600 +v 0.186083 0.020627 1.001094 +v 0.185237 0.022652 0.999462 +v 0.183376 0.024646 0.999660 +v 0.181591 0.025441 1.001572 +v 0.194325 0.037242 1.011478 +v 0.195102 0.035181 1.013068 +v 0.196754 0.033044 1.012773 +v 0.198311 0.032083 1.010765 +v 0.198863 0.032861 1.008221 +v 0.198085 0.034922 1.006631 +v 0.196434 0.037059 1.006926 +v 0.194876 0.038020 1.008934 +v 0.213077 0.047008 1.017817 +v 0.213427 0.044753 1.019258 +v 0.214329 0.042266 1.018721 +v 0.215253 0.041004 1.016522 +v 0.215658 0.041707 1.013947 +v 0.215308 0.043962 1.012506 +v 0.214406 0.046449 1.013043 +v 0.213482 0.047711 1.015243 +v 0.234731 0.049733 1.021231 +v 0.234608 0.047421 1.022585 +v 0.234673 0.044826 1.021915 +v 0.234887 0.043466 1.019613 +v 0.235124 0.044139 1.017029 +v 0.235247 0.046451 1.015675 +v 0.235183 0.049046 1.016345 +v 0.234969 0.050406 1.018646 +v 0.254438 0.047342 1.021774 +v 0.254130 0.045057 1.023107 +v 0.253851 0.042498 1.022421 +v 0.253764 0.041165 1.020116 +v 0.253920 0.041838 1.017544 +v 0.254228 0.044124 1.016210 +v 0.254507 0.046682 1.016897 +v 0.254594 0.048015 1.019201 +v 0.275713 0.044918 1.022443 +v 0.275535 0.042638 1.023774 +v 0.275492 0.040079 1.023104 +v 0.275610 0.038739 1.020825 +v 0.275820 0.039403 1.018273 +v 0.275999 0.041683 1.016941 +v 0.276041 0.044243 1.017611 +v 0.275923 0.045583 1.019890 +v -0.003610 0.000812 1.010633 +v -0.002329 0.003181 1.011736 +v -0.001336 0.005686 1.010633 +v -0.001212 0.006857 1.007971 +v -0.002030 0.006010 1.005309 +v -0.003311 0.003640 1.004207 +v -0.004305 0.001136 1.005309 +v -0.004428 -0.000036 1.007971 +v -0.022687 0.009898 1.013575 +v -0.021401 0.012248 1.014669 +v -0.020393 0.014727 1.013570 +v -0.020254 0.015883 1.010922 +v -0.021065 0.015040 1.008276 +v -0.022351 0.012691 1.007182 +v -0.023359 0.010212 1.008281 +v -0.023498 0.009055 1.010929 +v -0.041701 0.018955 1.016508 +v -0.040441 0.021299 1.017598 +v -0.039468 0.023776 1.016510 +v -0.039353 0.024937 1.013881 +v -0.040162 0.024100 1.011252 +v -0.041422 0.021757 1.010162 +v -0.042395 0.019279 1.011250 +v -0.042511 0.018119 1.013878 +v -0.063091 0.028621 1.020039 +v -0.061895 0.030975 1.021132 +v -0.060999 0.033469 1.020062 +v -0.060928 0.034642 1.017457 +v -0.061724 0.033807 1.014843 +v -0.062921 0.031452 1.013750 +v -0.063817 0.028958 1.014820 +v -0.063888 0.027785 1.017425 +v -0.084019 0.037239 1.023539 +v -0.082888 0.039603 1.024635 +v -0.082071 0.042112 1.023584 +v -0.082045 0.043296 1.021003 +v -0.082826 0.042462 1.018403 +v -0.083957 0.040098 1.017307 +v -0.084775 0.037589 1.018358 +v -0.084801 0.036405 1.020939 +v -0.102809 0.044505 1.026856 +v -0.101664 0.046845 1.027941 +v -0.100872 0.049347 1.026901 +v -0.100897 0.050544 1.024345 +v -0.101723 0.049735 1.021770 +v -0.102868 0.047394 1.020685 +v -0.103660 0.044893 1.021726 +v -0.103636 0.043696 1.024282 +v -0.123650 0.053083 1.031324 +v -0.122330 0.055331 1.032360 +v -0.121471 0.057786 1.031309 +v -0.121576 0.059010 1.028788 +v -0.122583 0.058286 1.026272 +v -0.123903 0.056038 1.025236 +v -0.124763 0.053583 1.026286 +v -0.124658 0.052359 1.028808 +v -0.143454 0.063420 1.037688 +v -0.141960 0.065563 1.038661 +v -0.141034 0.067966 1.037595 +v -0.141218 0.069222 1.035114 +v -0.142405 0.068596 1.032671 +v -0.143899 0.066454 1.031697 +v -0.144825 0.064050 1.032763 +v -0.144641 0.062794 1.035244 +v -0.160657 0.073049 1.044101 +v -0.159382 0.075281 1.045133 +v -0.158578 0.077725 1.044110 +v -0.158715 0.078951 1.041630 +v -0.159713 0.078240 1.039146 +v -0.160988 0.076008 1.038114 +v -0.161793 0.073564 1.039137 +v -0.161656 0.072338 1.041617 +v -0.181850 0.080322 1.048045 +v -0.181192 0.082747 1.049168 +v -0.180628 0.085256 1.048189 +v -0.180489 0.086381 1.045681 +v -0.180857 0.085461 1.043113 +v -0.181515 0.083037 1.041990 +v -0.182079 0.080527 1.042969 +v -0.182218 0.079403 1.045477 +v -0.204608 0.083871 1.046447 +v -0.204581 0.086380 1.047535 +v -0.204253 0.088910 1.046551 +v -0.203817 0.089980 1.044073 +v -0.203527 0.088962 1.041552 +v -0.203554 0.086453 1.040464 +v -0.203882 0.083923 1.041448 +v -0.204318 0.082853 1.043926 +v -0.224738 0.083701 1.041971 +v -0.225094 0.086192 1.042996 +v -0.225156 0.088704 1.041963 +v -0.224888 0.089765 1.039477 +v -0.224447 0.088755 1.036994 +v -0.224091 0.086265 1.035968 +v -0.224029 0.083753 1.037001 +v -0.224297 0.082691 1.039488 +v -0.246662 0.080261 1.040452 +v -0.247179 0.082710 1.041464 +v -0.247794 0.085118 1.040412 +v -0.248146 0.086076 1.037913 +v -0.248030 0.085021 1.035431 +v -0.247513 0.082573 1.034420 +v -0.246898 0.080164 1.035472 +v -0.246546 0.079207 1.037971 +v -0.267312 0.073857 1.044118 +v -0.267995 0.076236 1.045148 +v -0.269141 0.078461 1.044185 +v -0.270078 0.079228 1.041793 +v -0.270258 0.078088 1.039373 +v -0.269575 0.075709 1.038342 +v -0.268430 0.073484 1.039305 +v -0.267492 0.072717 1.041697 +v -0.284665 0.065173 1.050331 +v -0.285443 0.067492 1.051385 +v -0.286805 0.069602 1.050498 +v -0.287954 0.070267 1.048188 +v -0.288216 0.069097 1.045809 +v -0.287438 0.066778 1.044755 +v -0.286076 0.064668 1.045642 +v -0.284927 0.064003 1.047952 +v -0.304791 0.055286 1.057360 +v -0.305496 0.057621 1.058386 +v -0.306695 0.059789 1.057455 +v -0.307687 0.060518 1.055112 +v -0.307890 0.059382 1.052731 +v -0.307186 0.057047 1.051705 +v -0.305986 0.054879 1.052637 +v -0.304994 0.054150 1.054979 +v -0.001962 0.002138 1.083963 +v -0.002670 0.004741 1.085057 +v -0.003767 0.007204 1.083963 +v -0.004613 0.008086 1.081321 +v -0.004710 0.006868 1.078678 +v -0.004003 0.004265 1.077584 +v -0.002905 0.001802 1.078678 +v -0.002060 0.000920 1.081321 +v -0.020928 -0.005734 1.088550 +v -0.021720 -0.003181 1.089658 +v -0.022968 -0.000793 1.088605 +v -0.023941 0.000032 1.086008 +v -0.024069 -0.001190 1.083389 +v -0.023277 -0.003742 1.082281 +v -0.022028 -0.006131 1.083334 +v -0.021056 -0.006955 1.085931 +v -0.040388 -0.013792 1.093245 +v -0.041050 -0.011208 1.094319 +v -0.042069 -0.008752 1.093225 +v -0.042850 -0.007862 1.090604 +v -0.042933 -0.009061 1.087992 +v -0.042272 -0.011645 1.086918 +v -0.041252 -0.014101 1.088012 +v -0.040472 -0.014990 1.090632 +v -0.063660 -0.019710 1.096251 +v -0.064037 -0.017073 1.097287 +v -0.064499 -0.014498 1.096138 +v -0.064776 -0.013492 1.093477 +v -0.064705 -0.014645 1.090863 +v -0.064329 -0.017282 1.089828 +v -0.063867 -0.019858 1.090976 +v -0.063590 -0.020863 1.093637 +v -0.087006 -0.021290 1.095307 +v -0.087092 -0.018647 1.096344 +v -0.086977 -0.016043 1.095216 +v -0.086728 -0.015002 1.092585 +v -0.086492 -0.016136 1.089991 +v -0.086406 -0.018779 1.088954 +v -0.086521 -0.021383 1.090082 +v -0.086770 -0.022423 1.092713 +v -0.107455 -0.019710 1.092314 +v -0.107325 -0.017094 1.093364 +v -0.107003 -0.014515 1.092263 +v -0.106678 -0.013485 1.089655 +v -0.106540 -0.014606 1.087069 +v -0.106670 -0.017223 1.086018 +v -0.106992 -0.019802 1.087120 +v -0.107317 -0.020832 1.089728 +v -0.129810 -0.017566 1.091486 +v -0.129464 -0.014986 1.092532 +v -0.129270 -0.012411 1.091436 +v -0.129341 -0.011350 1.088841 +v -0.129635 -0.012423 1.086266 +v -0.129980 -0.015003 1.085221 +v -0.130175 -0.017578 1.086316 +v -0.130104 -0.018639 1.088912 +v -0.151753 -0.015011 1.095393 +v -0.151184 -0.012474 1.096398 +v -0.151101 -0.009902 1.095326 +v -0.151553 -0.008802 1.092805 +v -0.152276 -0.009818 1.090312 +v -0.152845 -0.012355 1.089307 +v -0.152927 -0.014927 1.090379 +v -0.152475 -0.016027 1.092900 +v -0.171192 -0.012150 1.101140 +v -0.170742 -0.009617 1.102165 +v -0.170747 -0.007052 1.101120 +v -0.171204 -0.005958 1.098617 +v -0.171845 -0.006976 1.096122 +v -0.172294 -0.009510 1.095097 +v -0.172289 -0.012075 1.096142 +v -0.171832 -0.013168 1.098646 +v -0.193613 -0.011415 1.104451 +v -0.193782 -0.008895 1.105543 +v -0.193995 -0.006345 1.104529 +v -0.194128 -0.005260 1.102004 +v -0.194102 -0.006275 1.099446 +v -0.193934 -0.008796 1.098354 +v -0.193721 -0.011345 1.099368 +v -0.193588 -0.012430 1.101893 +v -0.215971 -0.015521 1.101986 +v -0.216750 -0.013113 1.103023 +v -0.217175 -0.010614 1.101998 +v -0.216996 -0.009486 1.099514 +v -0.216319 -0.010391 1.097024 +v -0.215540 -0.012799 1.095988 +v -0.215115 -0.015298 1.097012 +v -0.215294 -0.016426 1.099497 +v -0.235492 -0.021517 1.096896 +v -0.236142 -0.019098 1.097948 +v -0.236443 -0.016588 1.096952 +v -0.236221 -0.015458 1.094492 +v -0.235604 -0.016370 1.092008 +v -0.234955 -0.018789 1.090956 +v -0.234653 -0.021299 1.091952 +v -0.234876 -0.022429 1.094412 +v -0.257929 -0.023309 1.094613 +v -0.257733 -0.020858 1.095725 +v -0.257562 -0.018338 1.094774 +v -0.257517 -0.017226 1.092315 +v -0.257624 -0.018172 1.089789 +v -0.257820 -0.020623 1.088677 +v -0.257991 -0.023143 1.089628 +v -0.258036 -0.024256 1.092087 +v -0.279808 -0.018228 1.097523 +v -0.278798 -0.015961 1.098538 +v -0.278170 -0.013552 1.097542 +v -0.278292 -0.012412 1.095117 +v -0.279093 -0.013209 1.092686 +v -0.280103 -0.015476 1.091671 +v -0.280731 -0.017885 1.092667 +v -0.280609 -0.019025 1.095091 +v -0.297831 -0.009560 1.102989 +v -0.296537 -0.007427 1.103923 +v -0.295744 -0.005103 1.102890 +v -0.295917 -0.003950 1.100495 +v -0.296954 -0.004643 1.098141 +v -0.298248 -0.006775 1.097207 +v -0.299041 -0.009099 1.098240 +v -0.298868 -0.010252 1.100635 +v -0.317990 -0.000070 1.108965 +v -0.316903 0.002133 1.109946 +v -0.316230 0.004491 1.108951 +v -0.316366 0.005622 1.106562 +v -0.317232 0.004863 1.104180 +v -0.318320 0.002659 1.103199 +v -0.318993 0.000302 1.104194 +v -0.318856 -0.000829 1.106583 +v -0.004254 0.007234 1.169425 +v -0.003866 0.004562 1.170515 +v -0.003033 0.001995 1.169425 +v -0.002241 0.001036 1.166793 +v -0.001956 0.002246 1.164162 +v -0.002343 0.004917 1.163071 +v -0.003177 0.007485 1.164162 +v -0.003968 0.008444 1.166793 +v 0.010781 0.010709 1.172854 +v 0.011151 0.008051 1.173935 +v 0.011991 0.005502 1.172854 +v 0.012809 0.004556 1.170245 +v 0.013126 0.005767 1.167636 +v 0.012756 0.008425 1.166556 +v 0.011916 0.010974 1.167637 +v 0.011098 0.011920 1.170246 +v 0.025888 0.014202 1.176300 +v 0.026277 0.011565 1.177378 +v 0.027096 0.009028 1.176300 +v 0.027865 0.008077 1.173697 +v 0.028135 0.009270 1.171095 +v 0.027746 0.011907 1.170017 +v 0.026927 0.014444 1.171094 +v 0.026157 0.015395 1.173697 +v 0.042888 0.018174 1.179538 +v 0.043460 0.015600 1.180643 +v 0.044324 0.013092 1.179581 +v 0.044975 0.012118 1.176974 +v 0.045031 0.013248 1.174350 +v 0.044459 0.015822 1.173245 +v 0.043594 0.018330 1.174308 +v 0.042943 0.019304 1.176914 +v 0.059486 0.023698 1.181096 +v 0.060254 0.021203 1.182215 +v 0.061174 0.018729 1.181166 +v 0.061706 0.017725 1.178563 +v 0.061539 0.018779 1.175931 +v 0.060771 0.021274 1.174811 +v 0.059852 0.023748 1.175861 +v 0.059319 0.024752 1.178464 +v 0.074511 0.028885 1.181861 +v 0.074875 0.026299 1.182934 +v 0.075501 0.023764 1.181862 +v 0.076022 0.022764 1.179274 +v 0.076133 0.023886 1.176686 +v 0.075769 0.026471 1.175614 +v 0.075144 0.029006 1.176686 +v 0.074622 0.030006 1.179273 +v 0.091267 0.029609 1.185189 +v 0.090611 0.027017 1.186038 +v 0.090580 0.024484 1.184835 +v 0.091193 0.023492 1.182283 +v 0.092090 0.024623 1.179878 +v 0.092746 0.027215 1.179029 +v 0.092776 0.029748 1.180232 +v 0.092164 0.030740 1.182784 +v 0.106202 0.023949 1.191339 +v 0.104636 0.021693 1.191821 +v 0.104018 0.019382 1.190392 +v 0.104708 0.018368 1.187889 +v 0.106303 0.019245 1.185779 +v 0.107869 0.021501 1.185297 +v 0.108487 0.023813 1.186726 +v 0.107797 0.024826 1.189229 +v 0.117080 0.014745 1.198264 +v 0.115208 0.012725 1.198562 +v 0.114392 0.010570 1.197027 +v 0.115109 0.009540 1.194558 +v 0.116940 0.010240 1.192601 +v 0.118812 0.012260 1.192303 +v 0.119629 0.014415 1.193838 +v 0.118911 0.015445 1.196308 +v 0.129295 0.004720 1.206021 +v 0.127564 0.002613 1.206392 +v 0.126782 0.000449 1.204883 +v 0.127407 -0.000506 1.202379 +v 0.129074 0.000308 1.200346 +v 0.130806 0.002415 1.199976 +v 0.131588 0.004580 1.201484 +v 0.130962 0.005534 1.203988 +v 0.143165 -0.004303 1.212000 +v 0.141571 -0.006483 1.212428 +v 0.140810 -0.008645 1.210937 +v 0.141328 -0.009523 1.208400 +v 0.142821 -0.008602 1.206302 +v 0.144416 -0.006422 1.205874 +v 0.145177 -0.004260 1.207365 +v 0.144659 -0.003383 1.209903 +v 0.155184 -0.012076 1.217040 +v 0.153554 -0.014212 1.217441 +v 0.152986 -0.016481 1.216060 +v 0.153813 -0.017554 1.213704 +v 0.155549 -0.016802 1.211755 +v 0.157179 -0.014666 1.211354 +v 0.157747 -0.012397 1.212735 +v 0.156920 -0.011324 1.215090 +v 0.165730 -0.018816 1.226504 +v 0.164015 -0.020877 1.226812 +v 0.163819 -0.023367 1.225788 +v 0.165257 -0.024826 1.224031 +v 0.167488 -0.024401 1.222571 +v 0.169203 -0.022340 1.222263 +v 0.169398 -0.019850 1.223288 +v 0.167960 -0.018390 1.225044 +v 0.172376 -0.022960 1.240099 +v 0.170608 -0.024968 1.240282 +v 0.170659 -0.027593 1.239739 +v 0.172498 -0.029298 1.238789 +v 0.175048 -0.029084 1.237989 +v 0.176816 -0.027076 1.237807 +v 0.176765 -0.024450 1.238349 +v 0.174926 -0.022745 1.239299 +v 0.175173 -0.024567 1.254947 +v 0.173402 -0.026553 1.255071 +v 0.173510 -0.029196 1.254755 +v 0.175435 -0.030948 1.254185 +v 0.178048 -0.030782 1.253694 +v 0.179819 -0.028796 1.253571 +v 0.179711 -0.026153 1.253887 +v 0.177786 -0.024401 1.254457 +v 0.178661 -0.026586 1.272291 +v 0.176911 -0.028565 1.272453 +v 0.176982 -0.031169 1.271986 +v 0.178832 -0.032873 1.271165 +v 0.181378 -0.032679 1.270469 +v 0.183128 -0.030700 1.270307 +v 0.183057 -0.028096 1.270773 +v 0.181206 -0.026392 1.271595 +v -0.004606 0.002909 1.247968 +v -0.001908 0.003087 1.249045 +v 0.000693 0.003826 1.247968 +v 0.001674 0.004692 1.245368 +v 0.000459 0.005179 1.242768 +v -0.002239 0.005001 1.241691 +v -0.004841 0.004262 1.242768 +v -0.005821 0.003395 1.245368 +v -0.008010 0.024001 1.253887 +v -0.005322 0.024139 1.254947 +v -0.002734 0.024860 1.253873 +v -0.001763 0.025744 1.251295 +v -0.002978 0.026271 1.248722 +v -0.005666 0.026133 1.247663 +v -0.008254 0.025411 1.248737 +v -0.009225 0.024528 1.251315 +v -0.011417 0.045109 1.259811 +v -0.008754 0.045300 1.260879 +v -0.006185 0.046035 1.259816 +v -0.005215 0.046883 1.257245 +v -0.006412 0.047346 1.254672 +v -0.009075 0.047155 1.253604 +v -0.011644 0.046420 1.254667 +v -0.012614 0.045572 1.257238 +v -0.015960 0.068797 1.265574 +v -0.013347 0.069155 1.266675 +v -0.010806 0.069945 1.265633 +v -0.009825 0.070704 1.263058 +v -0.010979 0.070987 1.260459 +v -0.013592 0.070629 1.259358 +v -0.016133 0.069840 1.260400 +v -0.017114 0.069081 1.262975 +v -0.021837 0.091679 1.269540 +v -0.019284 0.092208 1.270665 +v -0.016774 0.093055 1.269641 +v -0.015778 0.093724 1.267067 +v -0.016879 0.093823 1.264450 +v -0.019432 0.093294 1.263325 +v -0.021942 0.092447 1.264349 +v -0.022939 0.091778 1.266924 +v -0.027768 0.112056 1.272234 +v -0.025214 0.112518 1.273342 +v -0.022709 0.113320 1.272318 +v -0.021720 0.113992 1.269760 +v -0.022828 0.114140 1.267168 +v -0.025382 0.113677 1.266060 +v -0.027887 0.112875 1.267084 +v -0.028875 0.112204 1.269642 +v -0.032655 0.134999 1.276731 +v -0.030045 0.135096 1.277754 +v -0.027524 0.135731 1.276701 +v -0.026569 0.136532 1.274189 +v -0.027738 0.137031 1.271688 +v -0.030348 0.136934 1.270665 +v -0.032869 0.136299 1.271718 +v -0.033825 0.135498 1.274230 +v -0.034170 0.157722 1.284322 +v -0.031546 0.157457 1.285224 +v -0.029027 0.157927 1.284127 +v -0.028089 0.158858 1.281673 +v -0.029281 0.159704 1.279300 +v -0.031905 0.159970 1.278397 +v -0.034423 0.159499 1.279494 +v -0.035362 0.158568 1.281948 +v -0.033828 0.177780 1.292418 +v -0.031224 0.177599 1.293343 +v -0.028722 0.178075 1.292256 +v -0.027787 0.178928 1.289793 +v -0.028967 0.179659 1.287396 +v -0.031571 0.179840 1.286470 +v -0.034073 0.179364 1.287557 +v -0.035008 0.178511 1.290021 +v -0.036300 0.200643 1.298233 +v -0.033815 0.201141 1.299308 +v -0.031373 0.201901 1.298293 +v -0.030403 0.202479 1.295784 +v -0.031473 0.202537 1.293249 +v -0.033957 0.202040 1.292174 +v -0.036400 0.201279 1.293188 +v -0.037370 0.200701 1.295698 +v -0.045563 0.223214 1.298259 +v -0.043336 0.224367 1.299348 +v -0.041013 0.225410 1.298349 +v -0.039957 0.225731 1.295848 +v -0.040785 0.225143 1.293309 +v -0.043012 0.223990 1.292220 +v -0.045335 0.222947 1.293219 +v -0.046391 0.222626 1.295720 +v -0.056540 0.243077 1.295156 +v -0.054210 0.243936 1.296258 +v -0.051788 0.244692 1.295285 +v -0.050694 0.244902 1.292807 +v -0.051568 0.244444 1.290276 +v -0.053898 0.243585 1.289174 +v -0.056320 0.242829 1.290147 +v -0.057414 0.242619 1.292625 +v -0.059954 0.266469 1.295540 +v -0.057500 0.266053 1.296585 +v -0.054998 0.265914 1.295584 +v -0.053912 0.266133 1.293123 +v -0.054879 0.266582 1.290643 +v -0.057332 0.266998 1.289598 +v -0.059835 0.267137 1.290599 +v -0.060921 0.266918 1.293060 +v -0.051508 0.287916 1.301320 +v -0.049479 0.286334 1.302074 +v -0.047280 0.285370 1.300878 +v -0.046201 0.285590 1.298433 +v -0.046873 0.286863 1.296171 +v -0.048902 0.288445 1.295417 +v -0.051101 0.289409 1.296613 +v -0.052180 0.289189 1.299058 +v -0.036767 0.303113 1.309021 +v -0.035044 0.301169 1.309609 +v -0.033074 0.299939 1.308304 +v -0.032011 0.300146 1.305870 +v -0.032477 0.301667 1.303733 +v -0.034200 0.303611 1.303146 +v -0.036171 0.304841 1.304451 +v -0.037234 0.304634 1.306884 +v -0.020816 0.319992 1.317404 +v -0.018902 0.318301 1.318097 +v -0.016798 0.317255 1.316880 +v -0.015735 0.317468 1.314466 +v -0.016337 0.318814 1.312269 +v -0.018251 0.320504 1.311575 +v -0.020356 0.321550 1.312792 +v -0.021418 0.321337 1.315206 +v -0.001832 0.000791 1.332183 +v -0.000352 0.003057 1.333254 +v 0.000580 0.005598 1.332183 +v 0.000418 0.006926 1.329597 +v -0.000743 0.006262 1.327012 +v -0.002223 0.003996 1.325941 +v -0.003155 0.001455 1.327012 +v -0.002993 0.000128 1.329597 +v -0.020410 0.008712 1.338907 +v -0.019034 0.011008 1.340004 +v -0.018286 0.013617 1.339001 +v -0.018605 0.015010 1.336485 +v -0.019803 0.014371 1.333930 +v -0.021179 0.012074 1.332833 +v -0.021927 0.009465 1.333836 +v -0.021608 0.008073 1.336352 +v -0.039561 0.016904 1.345824 +v -0.038060 0.019122 1.346870 +v -0.037065 0.021594 1.345789 +v -0.037161 0.022872 1.343215 +v -0.038290 0.022208 1.340655 +v -0.039791 0.019989 1.339610 +v -0.040785 0.017517 1.340690 +v -0.040690 0.016239 1.343265 +v -0.059662 0.029982 1.350590 +v -0.057919 0.032021 1.351574 +v -0.056406 0.034134 1.350384 +v -0.056011 0.035082 1.347717 +v -0.056964 0.034310 1.345136 +v -0.058708 0.032271 1.344152 +v -0.060220 0.030158 1.345342 +v -0.060616 0.029210 1.348009 +v -0.076889 0.046383 1.350809 +v -0.074937 0.048204 1.351780 +v -0.072970 0.049866 1.350583 +v -0.072139 0.050395 1.347919 +v -0.072931 0.049483 1.345349 +v -0.074883 0.047662 1.344378 +v -0.076851 0.046000 1.345575 +v -0.077682 0.045470 1.348239 +v -0.089590 0.063214 1.348103 +v -0.087456 0.064774 1.349095 +v -0.085248 0.066100 1.347940 +v -0.084259 0.066416 1.345315 +v -0.085069 0.065537 1.342758 +v -0.087202 0.063978 1.341766 +v -0.089410 0.062651 1.342921 +v -0.090399 0.062335 1.345546 +v -0.101414 0.083272 1.345990 +v -0.099060 0.084409 1.347007 +v -0.096729 0.085486 1.345877 +v -0.095787 0.085872 1.343264 +v -0.096785 0.085340 1.340697 +v -0.099139 0.084203 1.339680 +v -0.101470 0.083126 1.340810 +v -0.102412 0.082741 1.343423 +v -0.109440 0.105257 1.347103 +v -0.106926 0.105930 1.348102 +v -0.104505 0.106725 1.346973 +v -0.103595 0.107177 1.344377 +v -0.104729 0.107021 1.341836 +v -0.107243 0.106348 1.340837 +v -0.109664 0.105553 1.341966 +v -0.110574 0.105101 1.344562 +v -0.114119 0.125848 1.348914 +v -0.111694 0.126739 1.349914 +v -0.109318 0.127618 1.348795 +v -0.108382 0.127972 1.346213 +v -0.109435 0.127593 1.343679 +v -0.111859 0.126703 1.342679 +v -0.114235 0.125823 1.343797 +v -0.115171 0.125469 1.346380 +v -0.124323 0.145408 1.347139 +v -0.122447 0.147215 1.348025 +v -0.120394 0.148623 1.346852 +v -0.119367 0.148807 1.344305 +v -0.119967 0.147659 1.341877 +v -0.121843 0.145851 1.340990 +v -0.123896 0.144443 1.342164 +v -0.124923 0.144259 1.344711 +v -0.141121 0.158114 1.340304 +v -0.140041 0.160561 1.340875 +v -0.138454 0.162335 1.339530 +v -0.137291 0.162399 1.337056 +v -0.137232 0.160714 1.334903 +v -0.138312 0.158268 1.334332 +v -0.139898 0.156493 1.335677 +v -0.141062 0.156429 1.338151 +v -0.159236 0.164690 1.331190 +v -0.158299 0.167190 1.331692 +v -0.156776 0.168981 1.330330 +v -0.155558 0.169012 1.327901 +v -0.155359 0.167266 1.325829 +v -0.156295 0.164766 1.325327 +v -0.157819 0.162976 1.326689 +v -0.159037 0.162944 1.329117 +v -0.177778 0.175730 1.322108 +v -0.176329 0.177881 1.322856 +v -0.174475 0.179441 1.321667 +v -0.173301 0.179495 1.319237 +v -0.173494 0.178012 1.316990 +v -0.174943 0.175861 1.316242 +v -0.176797 0.174301 1.317431 +v -0.177972 0.174247 1.319861 +v -0.192441 0.192392 1.315708 +v -0.190574 0.194075 1.316643 +v -0.188448 0.195323 1.315588 +v -0.187310 0.195407 1.313161 +v -0.187825 0.194276 1.310785 +v -0.189692 0.192594 1.309851 +v -0.191818 0.191345 1.310906 +v -0.192957 0.191262 1.313332 +v -0.203154 0.209575 1.311308 +v -0.201178 0.211069 1.312287 +v -0.198983 0.212188 1.311273 +v -0.197855 0.212276 1.308861 +v -0.198455 0.211282 1.306464 +v -0.200432 0.209788 1.305485 +v -0.202626 0.208669 1.306499 +v -0.203754 0.208581 1.308910 +v -0.215189 0.228620 1.306353 +v -0.213309 0.230229 1.307291 +v -0.211185 0.231426 1.306260 +v -0.210063 0.231510 1.303866 +v -0.210599 0.230432 1.301509 +v -0.212479 0.228823 1.300571 +v -0.214602 0.227626 1.301601 +v -0.215725 0.227542 1.303996 +v -0.002463 0.007512 1.434275 +v -0.003335 0.004942 1.435328 +v -0.003491 0.002233 1.434275 +v -0.002840 0.000971 1.431734 +v -0.001764 0.001897 1.429192 +v -0.000893 0.004467 1.428140 +v -0.000737 0.007176 1.429192 +v -0.001387 0.008438 1.431734 +v 0.014744 0.003842 1.440439 +v 0.013833 0.001297 1.441470 +v 0.013643 -0.001389 1.440411 +v 0.014285 -0.002642 1.437883 +v 0.015383 -0.001728 1.435367 +v 0.016293 0.000818 1.434337 +v 0.016483 0.003504 1.435395 +v 0.015841 0.004756 1.437923 +v 0.031883 0.000186 1.446579 +v 0.031040 -0.002357 1.447625 +v 0.030900 -0.005036 1.446590 +v 0.031544 -0.006282 1.444080 +v 0.032596 -0.005366 1.441566 +v 0.033439 -0.002824 1.440520 +v 0.033580 -0.000144 1.441555 +v 0.032935 0.001102 1.444065 +v 0.051285 -0.003000 1.453179 +v 0.050617 -0.005554 1.454274 +v 0.050579 -0.008232 1.453279 +v 0.051193 -0.009467 1.450776 +v 0.052101 -0.008535 1.448231 +v 0.052769 -0.005981 1.447136 +v 0.052807 -0.003302 1.448131 +v 0.052193 -0.002068 1.450634 +v 0.070534 -0.004860 1.458521 +v 0.070046 -0.007416 1.459661 +v 0.070111 -0.010088 1.458701 +v 0.070691 -0.011312 1.456204 +v 0.071446 -0.010371 1.453633 +v 0.071934 -0.007815 1.452494 +v 0.071869 -0.005143 1.453453 +v 0.071289 -0.003919 1.455950 +v 0.087746 -0.005697 1.462912 +v 0.087254 -0.008236 1.464042 +v 0.087406 -0.010898 1.463115 +v 0.088115 -0.012122 1.460672 +v 0.088964 -0.011193 1.458146 +v 0.089457 -0.008654 1.457015 +v 0.089304 -0.005992 1.457943 +v 0.088595 -0.004768 1.460386 +v 0.106162 -0.006785 1.469865 +v 0.105355 -0.009282 1.470855 +v 0.105541 -0.011930 1.469948 +v 0.106612 -0.013177 1.467674 +v 0.107939 -0.012292 1.465367 +v 0.108746 -0.009795 1.464377 +v 0.108560 -0.007147 1.465285 +v 0.107490 -0.005901 1.467558 +v 0.122639 -0.009679 1.481555 +v 0.121544 -0.012117 1.482345 +v 0.121756 -0.014752 1.481461 +v 0.123151 -0.016040 1.479420 +v 0.124911 -0.015227 1.477418 +v 0.126007 -0.012789 1.476628 +v 0.125795 -0.010154 1.477512 +v 0.124400 -0.008866 1.479553 +v 0.136471 -0.012533 1.494061 +v 0.135698 -0.014993 1.495071 +v 0.136045 -0.017628 1.494290 +v 0.137309 -0.018893 1.492175 +v 0.138749 -0.018048 1.489965 +v 0.139522 -0.015588 1.488955 +v 0.139174 -0.012953 1.489736 +v 0.137911 -0.011688 1.491851 +v 0.154523 -0.011389 1.501471 +v 0.154872 -0.013730 1.502875 +v 0.155527 -0.016319 1.502209 +v 0.156102 -0.017639 1.499864 +v 0.156262 -0.016917 1.497213 +v 0.155912 -0.014577 1.495809 +v 0.155258 -0.011987 1.496475 +v 0.154682 -0.010667 1.498820 +v 0.172535 -0.004581 1.498392 +v 0.173996 -0.006515 1.499658 +v 0.174961 -0.008976 1.498960 +v 0.174865 -0.010523 1.496708 +v 0.173764 -0.010250 1.494220 +v 0.172304 -0.008316 1.492953 +v 0.171339 -0.005854 1.493651 +v 0.171435 -0.004307 1.495904 +v 0.186583 0.004603 1.489130 +v 0.188224 0.002782 1.490301 +v 0.189212 0.000352 1.489594 +v 0.188969 -0.001263 1.487424 +v 0.187637 -0.001118 1.485061 +v 0.185996 0.000703 1.483889 +v 0.185008 0.003133 1.484596 +v 0.185251 0.004749 1.486766 +v 0.203876 0.012848 1.481920 +v 0.204911 0.010773 1.483301 +v 0.205653 0.008252 1.482687 +v 0.205666 0.006760 1.480438 +v 0.204942 0.007173 1.477870 +v 0.203906 0.009248 1.476489 +v 0.203165 0.011769 1.477103 +v 0.203152 0.013261 1.479352 +v 0.223230 0.017414 1.480745 +v 0.223605 0.015182 1.482184 +v 0.224075 0.012607 1.481600 +v 0.224364 0.011198 1.479338 +v 0.224303 0.011779 1.476721 +v 0.223928 0.014011 1.475283 +v 0.223458 0.016586 1.475866 +v 0.223169 0.017995 1.478129 +v 0.241084 0.019564 1.482370 +v 0.241236 0.017314 1.483787 +v 0.241607 0.014741 1.483202 +v 0.241978 0.013354 1.480959 +v 0.242132 0.013964 1.478370 +v 0.241979 0.016215 1.476953 +v 0.241609 0.018787 1.477538 +v 0.241238 0.020175 1.479781 +v 0.261100 0.022066 1.484077 +v 0.261404 0.019852 1.485494 +v 0.261839 0.017306 1.484918 +v 0.262149 0.015919 1.482685 +v 0.262154 0.016504 1.480105 +v 0.261849 0.018718 1.478687 +v 0.261414 0.021264 1.479264 +v 0.261104 0.022650 1.481496 +v -0.007300 0.008027 1.527460 +v -0.005040 0.006525 1.528515 +v -0.002465 0.005670 1.527460 +v -0.001084 0.005962 1.524915 +v -0.001705 0.007230 1.522370 +v -0.003964 0.008732 1.521315 +v -0.006539 0.009587 1.522370 +v -0.007921 0.009295 1.524915 +v -0.001317 0.023410 1.533945 +v 0.000987 0.022050 1.535046 +v 0.003643 0.021422 1.534087 +v 0.005096 0.021894 1.531630 +v 0.004494 0.023190 1.529114 +v 0.002190 0.024550 1.528013 +v -0.000466 0.025178 1.528972 +v -0.001919 0.024706 1.531429 +v 0.004977 0.039485 1.540703 +v 0.007181 0.037946 1.541724 +v 0.009677 0.037007 1.540648 +v 0.011003 0.037219 1.538105 +v 0.010382 0.038457 1.535585 +v 0.008178 0.039996 1.534564 +v 0.005682 0.040935 1.535640 +v 0.004356 0.040723 1.538183 +v 0.016348 0.056003 1.545525 +v 0.018252 0.054073 1.546428 +v 0.020245 0.052457 1.545169 +v 0.021158 0.052101 1.542484 +v 0.020457 0.053214 1.539947 +v 0.018552 0.055144 1.539044 +v 0.016560 0.056761 1.540303 +v 0.015647 0.057116 1.542988 +v 0.031835 0.068559 1.546043 +v 0.033338 0.066315 1.546920 +v 0.034652 0.064150 1.545634 +v 0.035006 0.063334 1.542937 +v 0.034194 0.064343 1.540409 +v 0.032691 0.066587 1.539532 +v 0.031377 0.068752 1.540818 +v 0.031022 0.069569 1.543515 +v 0.047632 0.076466 1.543690 +v 0.048923 0.074120 1.544582 +v 0.049920 0.071793 1.543334 +v 0.050039 0.070848 1.540677 +v 0.049211 0.071839 1.538167 +v 0.047920 0.074185 1.537275 +v 0.046923 0.076512 1.538523 +v 0.046803 0.077457 1.541180 +v 0.064746 0.085003 1.541674 +v 0.065910 0.082614 1.542569 +v 0.066969 0.080335 1.541324 +v 0.067301 0.079500 1.538666 +v 0.066713 0.080600 1.536154 +v 0.065549 0.082990 1.535258 +v 0.064490 0.085269 1.536504 +v 0.064158 0.086103 1.539161 +v 0.082643 0.093160 1.542822 +v 0.083657 0.090719 1.543708 +v 0.084757 0.088476 1.542472 +v 0.085299 0.087745 1.539837 +v 0.084965 0.088953 1.537348 +v 0.083951 0.091394 1.536462 +v 0.082851 0.093637 1.537698 +v 0.082309 0.094368 1.540333 +v 0.098974 0.100228 1.544424 +v 0.100406 0.098030 1.545311 +v 0.101680 0.095898 1.544086 +v 0.102051 0.095082 1.541465 +v 0.101301 0.096059 1.538985 +v 0.099869 0.098258 1.538097 +v 0.098594 0.100389 1.539323 +v 0.098224 0.101206 1.541944 +v 0.112627 0.112082 1.541081 +v 0.114948 0.110740 1.541701 +v 0.116585 0.108969 1.540375 +v 0.116579 0.107807 1.537880 +v 0.114933 0.107934 1.535678 +v 0.112612 0.109277 1.535059 +v 0.110975 0.111048 1.536384 +v 0.110981 0.112210 1.538879 +v 0.117853 0.126990 1.531873 +v 0.120569 0.126673 1.531883 +v 0.122366 0.125336 1.530314 +v 0.122191 0.123762 1.528085 +v 0.120146 0.122872 1.526502 +v 0.117430 0.123189 1.526492 +v 0.115634 0.124526 1.528061 +v 0.115809 0.126101 1.530290 +v 0.116120 0.140941 1.520387 +v 0.118830 0.140868 1.520213 +v 0.120619 0.139608 1.518602 +v 0.120438 0.137899 1.516497 +v 0.118393 0.136743 1.515132 +v 0.115683 0.136816 1.515306 +v 0.113894 0.138076 1.516917 +v 0.114076 0.139784 1.519022 +v 0.117272 0.156362 1.508052 +v 0.119905 0.155803 1.508260 +v 0.121648 0.154281 1.506871 +v 0.121481 0.152687 1.504699 +v 0.119501 0.151956 1.503016 +v 0.116869 0.152515 1.502809 +v 0.115126 0.154037 1.504197 +v 0.115293 0.155631 1.506369 +v 0.124204 0.170925 1.497684 +v 0.126622 0.169903 1.498230 +v 0.128243 0.168128 1.497041 +v 0.128118 0.166641 1.494814 +v 0.126319 0.166312 1.492852 +v 0.123901 0.167335 1.492305 +v 0.122280 0.169109 1.493494 +v 0.122406 0.170597 1.495722 +v 0.132728 0.183193 1.489192 +v 0.135042 0.182039 1.489831 +v 0.136599 0.180191 1.488709 +v 0.136486 0.178732 1.486483 +v 0.134770 0.178516 1.484457 +v 0.132455 0.179670 1.483818 +v 0.130898 0.181518 1.484940 +v 0.131011 0.182977 1.487166 +v 0.142144 0.196920 1.479681 +v 0.144505 0.195870 1.480250 +v 0.146090 0.194093 1.479094 +v 0.145969 0.192631 1.476892 +v 0.144214 0.192340 1.474933 +v 0.141853 0.193390 1.474365 +v 0.140268 0.195167 1.475520 +v 0.140389 0.196629 1.477723 +v -0.004477 0.009940 1.627251 +v -0.006603 0.011640 1.628283 +v -0.009145 0.012611 1.627251 +v -0.010616 0.012284 1.624761 +v -0.010153 0.010850 1.622270 +v -0.008028 0.009150 1.621239 +v -0.005485 0.008179 1.622270 +v -0.004014 0.008506 1.624761 +v -0.017161 -0.008011 1.635570 +v -0.019167 -0.006155 1.636518 +v -0.021563 -0.004983 1.635396 +v -0.022945 -0.005183 1.632862 +v -0.022504 -0.006637 1.630400 +v -0.020497 -0.008494 1.629453 +v -0.018102 -0.009666 1.630575 +v -0.016720 -0.009466 1.633108 +v -0.029489 -0.025389 1.643621 +v -0.031629 -0.023783 1.644675 +v -0.034191 -0.022916 1.643699 +v -0.035674 -0.023295 1.641265 +v -0.035210 -0.024698 1.638798 +v -0.033070 -0.026304 1.637745 +v -0.030508 -0.027172 1.638721 +v -0.029025 -0.026793 1.641155 +v -0.036796 -0.046050 1.653491 +v -0.039131 -0.045112 1.654847 +v -0.041922 -0.045025 1.654239 +v -0.043535 -0.045840 1.652025 +v -0.043024 -0.047079 1.649501 +v -0.040689 -0.048017 1.648145 +v -0.037898 -0.048104 1.648753 +v -0.036285 -0.047289 1.650967 +v -0.035203 -0.067126 1.662977 +v -0.037491 -0.066892 1.664645 +v -0.040226 -0.067621 1.664416 +v -0.041807 -0.068887 1.662424 +v -0.041308 -0.069947 1.659837 +v -0.039020 -0.070181 1.658170 +v -0.036285 -0.069452 1.658399 +v -0.034704 -0.068186 1.660390 +v -0.027815 -0.085966 1.671565 +v -0.030046 -0.085874 1.673290 +v -0.032681 -0.086884 1.673202 +v -0.034175 -0.088404 1.671351 +v -0.033653 -0.089544 1.668822 +v -0.031421 -0.089636 1.667096 +v -0.028787 -0.088626 1.667185 +v -0.027293 -0.087107 1.669036 +v -0.020873 -0.106537 1.683852 +v -0.023203 -0.106083 1.685347 +v -0.025881 -0.106894 1.685142 +v -0.027337 -0.108494 1.683357 +v -0.026720 -0.109946 1.681038 +v -0.024391 -0.110400 1.679543 +v -0.021713 -0.109590 1.679749 +v -0.020256 -0.107989 1.681533 +v -0.017924 -0.125620 1.698968 +v -0.020303 -0.124837 1.700193 +v -0.022996 -0.125472 1.699856 +v -0.024426 -0.127153 1.698154 +v -0.023756 -0.128896 1.696085 +v -0.021377 -0.129680 1.694860 +v -0.018684 -0.129045 1.695198 +v -0.017254 -0.127363 1.696899 +v -0.016512 -0.141189 1.714229 +v -0.018885 -0.140328 1.715369 +v -0.021561 -0.140957 1.715032 +v -0.022973 -0.142706 1.713413 +v -0.022294 -0.144551 1.711463 +v -0.019921 -0.145411 1.710322 +v -0.017245 -0.144783 1.710660 +v -0.015833 -0.143034 1.712278 +v -0.014296 -0.158540 1.731345 +v -0.016638 -0.157791 1.732581 +v -0.019282 -0.158513 1.732341 +v -0.020681 -0.160284 1.730764 +v -0.020013 -0.162065 1.728776 +v -0.017671 -0.162814 1.727539 +v -0.015027 -0.162091 1.727780 +v -0.013628 -0.160321 1.729356 +v -0.010042 -0.176189 1.747722 +v -0.012345 -0.175551 1.749051 +v -0.014950 -0.176370 1.748908 +v -0.016331 -0.178165 1.747376 +v -0.015679 -0.179886 1.745353 +v -0.013376 -0.180523 1.744024 +v -0.010771 -0.179705 1.744168 +v -0.009390 -0.177909 1.745699 +v -0.005610 -0.191898 1.762493 +v -0.007917 -0.191180 1.763734 +v -0.010523 -0.191919 1.763521 +v -0.011900 -0.193681 1.761979 +v -0.011242 -0.195434 1.760010 +v -0.008935 -0.196152 1.758769 +v -0.006329 -0.195413 1.758982 +v -0.004952 -0.193651 1.760525 +v -0.003403 -0.209560 1.779732 +v -0.005722 -0.208609 1.780732 +v -0.008338 -0.209105 1.780287 +v -0.009717 -0.210758 1.778659 +v -0.009052 -0.212599 1.776801 +v -0.006733 -0.213550 1.775801 +v -0.004117 -0.213054 1.776246 +v -0.002738 -0.211401 1.777874 +v -0.004943 -0.226891 1.797382 +v -0.007230 -0.225714 1.798139 +v -0.009812 -0.225976 1.797462 +v -0.011175 -0.227523 1.795748 +v -0.010522 -0.229450 1.794001 +v -0.008234 -0.230627 1.793245 +v -0.005653 -0.230365 1.793921 +v -0.004290 -0.228818 1.795635 +v -0.008781 -0.241806 1.813150 +v -0.011034 -0.240544 1.813804 +v -0.013579 -0.240712 1.813036 +v -0.014925 -0.242213 1.811295 +v -0.014285 -0.244167 1.809601 +v -0.012032 -0.245429 1.808947 +v -0.009487 -0.245261 1.809715 +v -0.008140 -0.243760 1.811456 +v -0.012946 -0.258415 1.830685 +v -0.015198 -0.257226 1.831404 +v -0.017741 -0.257457 1.830708 +v -0.019084 -0.258974 1.829005 +v -0.018441 -0.260886 1.827293 +v -0.016189 -0.262075 1.826575 +v -0.013647 -0.261844 1.827271 +v -0.012303 -0.260328 1.828974 +v -0.008434 0.013379 1.742161 +v -0.010266 0.011359 1.743178 +v -0.011332 0.008849 1.742161 +v -0.011008 0.007319 1.739706 +v -0.009483 0.007665 1.737251 +v -0.007650 0.009686 1.736234 +v -0.006584 0.012196 1.737251 +v -0.006909 0.013726 1.739706 +v 0.004235 0.004921 1.749238 +v 0.002366 0.002944 1.750224 +v 0.001285 0.000462 1.749201 +v 0.001625 -0.001070 1.746771 +v 0.003187 -0.000755 1.744355 +v 0.005055 0.001222 1.743370 +v 0.006136 0.003704 1.744393 +v 0.005796 0.005236 1.746823 +v 0.016897 -0.003533 1.756312 +v 0.015105 -0.005541 1.757327 +v 0.014061 -0.008027 1.756327 +v 0.014374 -0.009534 1.753898 +v 0.015863 -0.009180 1.751463 +v 0.017654 -0.007172 1.750449 +v 0.018699 -0.004686 1.751449 +v 0.018385 -0.003179 1.753878 +v 0.031890 -0.012470 1.763520 +v 0.030252 -0.014552 1.764593 +v 0.029208 -0.017018 1.763596 +v 0.029370 -0.018425 1.761114 +v 0.030643 -0.017948 1.758600 +v 0.032281 -0.015867 1.757527 +v 0.033324 -0.013400 1.758523 +v 0.033163 -0.011993 1.761006 +v 0.047417 -0.021367 1.768382 +v 0.045937 -0.023519 1.769498 +v 0.044884 -0.025962 1.768503 +v 0.044877 -0.027265 1.765979 +v 0.045918 -0.026665 1.763406 +v 0.047399 -0.024513 1.762290 +v 0.048451 -0.022070 1.763285 +v 0.048459 -0.020767 1.765809 +v 0.061306 -0.028583 1.771716 +v 0.059969 -0.030786 1.772867 +v 0.059211 -0.033352 1.771969 +v 0.059475 -0.034778 1.769548 +v 0.060607 -0.034229 1.767021 +v 0.061944 -0.032026 1.765870 +v 0.062702 -0.029460 1.766768 +v 0.062438 -0.028033 1.769189 +v 0.075927 -0.033334 1.778557 +v 0.074691 -0.035553 1.779747 +v 0.074493 -0.038282 1.779128 +v 0.075449 -0.039922 1.777063 +v 0.076999 -0.039512 1.774762 +v 0.078235 -0.037293 1.773572 +v 0.078433 -0.034564 1.774191 +v 0.077477 -0.032924 1.776255 +v 0.088965 -0.034598 1.789267 +v 0.087820 -0.036812 1.790515 +v 0.088122 -0.039574 1.790295 +v 0.089694 -0.041267 1.788736 +v 0.091616 -0.040899 1.786751 +v 0.092761 -0.038685 1.785503 +v 0.092459 -0.035923 1.785723 +v 0.090887 -0.034230 1.787282 +v 0.099261 -0.032714 1.801190 +v 0.098236 -0.034898 1.802549 +v 0.098810 -0.037607 1.802620 +v 0.100647 -0.039253 1.801360 +v 0.102671 -0.038872 1.799508 +v 0.103697 -0.036687 1.798149 +v 0.103122 -0.033979 1.798078 +v 0.101285 -0.032333 1.799338 +v 0.111221 -0.029147 1.814679 +v 0.110327 -0.031284 1.816165 +v 0.110975 -0.033954 1.816320 +v 0.112786 -0.035594 1.815052 +v 0.114698 -0.035242 1.813105 +v 0.115592 -0.033105 1.811618 +v 0.114944 -0.030435 1.811464 +v 0.113133 -0.028796 1.812731 +v 0.124021 -0.025263 1.826843 +v 0.123263 -0.027342 1.828449 +v 0.123993 -0.029967 1.828688 +v 0.125783 -0.031599 1.827419 +v 0.127584 -0.031283 1.825386 +v 0.128342 -0.029203 1.823780 +v 0.127612 -0.026579 1.823542 +v 0.125822 -0.024947 1.824810 +v 0.135124 -0.020593 1.837186 +v 0.134458 -0.022621 1.838866 +v 0.135344 -0.025159 1.839260 +v 0.137264 -0.026719 1.838138 +v 0.139093 -0.026388 1.836156 +v 0.139759 -0.024360 1.834476 +v 0.138873 -0.021822 1.834082 +v 0.136953 -0.020262 1.835205 +v 0.146244 -0.013975 1.849273 +v 0.145609 -0.015974 1.850973 +v 0.146649 -0.018399 1.851539 +v 0.148754 -0.019831 1.850641 +v 0.150690 -0.019430 1.848804 +v 0.151325 -0.017431 1.847105 +v 0.150285 -0.015006 1.846539 +v 0.148181 -0.013574 1.847437 +v 0.155629 -0.006071 1.861951 +v 0.155024 -0.008035 1.863674 +v 0.156195 -0.010329 1.864421 +v 0.158456 -0.011608 1.863756 +v 0.160482 -0.011124 1.862067 +v 0.161087 -0.009160 1.860345 +v 0.159916 -0.006866 1.859598 +v 0.157655 -0.005587 1.860263 +v 0.162733 0.002237 1.873610 +v 0.162147 0.000302 1.875345 +v 0.163368 -0.001914 1.876178 +v 0.165680 -0.003114 1.875620 +v 0.167729 -0.002594 1.873998 +v 0.168314 -0.000660 1.872263 +v 0.167093 0.001557 1.871431 +v 0.164781 0.002757 1.871989 +v 0.170932 0.011693 1.886948 +v 0.170340 0.009759 1.888655 +v 0.171513 0.007514 1.889419 +v 0.173764 0.006272 1.888792 +v 0.175774 0.006761 1.887142 +v 0.176366 0.008694 1.885436 +v 0.175193 0.010940 1.884672 +v 0.172942 0.012182 1.885298 +v -0.010835 0.011336 1.845873 +v -0.011360 0.008650 1.846864 +v -0.010870 0.005958 1.845873 +v -0.009651 0.004836 1.843479 +v -0.008418 0.005942 1.841085 +v -0.007893 0.008628 1.840094 +v -0.008384 0.011320 1.841085 +v -0.009602 0.012442 1.843479 +v 0.001987 0.012046 1.851783 +v 0.001642 0.009381 1.852855 +v 0.002227 0.006707 1.851917 +v 0.003400 0.005591 1.849519 +v 0.004472 0.006687 1.847065 +v 0.004817 0.009352 1.845993 +v 0.004232 0.012026 1.846931 +v 0.003060 0.013142 1.849329 +v 0.014909 0.012758 1.857743 +v 0.014319 0.010106 1.858685 +v 0.014763 0.007447 1.857684 +v 0.015983 0.006339 1.855328 +v 0.017263 0.007430 1.852996 +v 0.017853 0.010082 1.852054 +v 0.017409 0.012741 1.853054 +v 0.016189 0.013849 1.855410 +v 0.028366 0.010992 1.865917 +v 0.027154 0.008464 1.866469 +v 0.027189 0.005891 1.865226 +v 0.028452 0.004781 1.862915 +v 0.030202 0.005783 1.860890 +v 0.031415 0.008312 1.860338 +v 0.031379 0.010884 1.861582 +v 0.030117 0.011995 1.863892 +v 0.039388 0.004804 1.874887 +v 0.037639 0.002569 1.874997 +v 0.037314 0.000196 1.873471 +v 0.038604 -0.000925 1.871202 +v 0.040754 -0.000138 1.869521 +v 0.042503 0.002097 1.869410 +v 0.042828 0.004470 1.870936 +v 0.041538 0.005592 1.873205 +v 0.047136 -0.002659 1.883234 +v 0.045399 -0.004881 1.883345 +v 0.045210 -0.007338 1.881967 +v 0.046679 -0.008589 1.879907 +v 0.048946 -0.007902 1.878372 +v 0.050683 -0.005680 1.878261 +v 0.050872 -0.003224 1.879638 +v 0.049403 -0.001972 1.881698 +v 0.055518 -0.006936 1.893465 +v 0.054235 -0.009345 1.894113 +v 0.054605 -0.012038 1.893422 +v 0.056412 -0.013438 1.891796 +v 0.058597 -0.012725 1.890188 +v 0.059879 -0.010316 1.889539 +v 0.059509 -0.007623 1.890231 +v 0.057703 -0.006223 1.891857 +v 0.063857 -0.005866 1.904491 +v 0.063005 -0.008227 1.905704 +v 0.063915 -0.010861 1.905743 +v 0.066052 -0.012226 1.904586 +v 0.068165 -0.011522 1.902911 +v 0.069016 -0.009161 1.901698 +v 0.068107 -0.006527 1.901658 +v 0.065970 -0.005162 1.902815 +v 0.070756 -0.001416 1.914955 +v 0.070078 -0.003678 1.916403 +v 0.071195 -0.006188 1.916751 +v 0.073452 -0.007477 1.915796 +v 0.075529 -0.006789 1.914096 +v 0.076207 -0.004528 1.912649 +v 0.075090 -0.002017 1.912301 +v 0.072833 -0.000728 1.913256 +v 0.079022 0.003990 1.926943 +v 0.078363 0.001752 1.928403 +v 0.079447 -0.000759 1.928712 +v 0.081639 -0.002072 1.927689 +v 0.083654 -0.001418 1.925933 +v 0.084313 0.000820 1.924473 +v 0.083230 0.003331 1.924164 +v 0.081038 0.004644 1.925187 +v 0.087845 0.008803 1.938364 +v 0.087214 0.006593 1.939846 +v 0.088273 0.004088 1.940130 +v 0.090402 0.002756 1.939049 +v 0.092354 0.003375 1.937237 +v 0.092984 0.005585 1.935755 +v 0.091925 0.008090 1.935471 +v 0.089796 0.009423 1.936551 +v 0.095793 0.013429 1.948238 +v 0.095147 0.011224 1.949687 +v 0.096188 0.008728 1.949955 +v 0.098306 0.007405 1.948884 +v 0.100259 0.008030 1.947102 +v 0.100905 0.010235 1.945653 +v 0.099864 0.012730 1.945386 +v 0.097746 0.014053 1.946457 +v 0.104483 0.017963 1.959847 +v 0.103735 0.015716 1.961142 +v 0.104699 0.013201 1.961313 +v 0.106810 0.011891 1.960259 +v 0.108832 0.012553 1.958598 +v 0.109580 0.014799 1.957303 +v 0.108616 0.017315 1.957132 +v 0.106505 0.018625 1.958186 +v 0.112761 0.021506 1.972084 +v 0.111917 0.019230 1.973223 +v 0.112808 0.016702 1.973295 +v 0.114913 0.015403 1.972259 +v 0.116998 0.016094 1.970721 +v 0.117842 0.018370 1.969583 +v 0.116951 0.020898 1.969510 +v 0.114846 0.022197 1.970547 +v 0.119838 0.024036 1.983305 +v 0.118962 0.021760 1.984377 +v 0.119822 0.019239 1.984410 +v 0.121916 0.017950 1.983385 +v 0.124016 0.018648 1.981902 +v 0.124893 0.020923 1.980831 +v 0.124032 0.023444 1.980798 +v 0.121939 0.024733 1.981823 +v 0.127772 0.026897 1.995853 +v 0.126928 0.024646 1.996959 +v 0.127800 0.022149 1.997019 +v 0.129878 0.020867 1.995998 +v 0.131944 0.021553 1.994493 +v 0.132788 0.023803 1.993387 +v 0.131916 0.026301 1.993327 +v 0.129838 0.027582 1.994348 +v -0.010867 0.006362 1.969482 +v -0.010569 0.009083 1.970473 +v -0.011285 0.011724 1.969482 +v -0.012595 0.012740 1.967090 +v -0.013733 0.011534 1.964697 +v -0.014031 0.008813 1.963706 +v -0.013316 0.006172 1.964697 +v -0.012005 0.005156 1.967090 +v -0.026792 0.005275 1.977653 +v -0.026478 0.007980 1.978629 +v -0.027171 0.010607 1.977634 +v -0.028466 0.011617 1.975252 +v -0.029604 0.010418 1.972878 +v -0.029918 0.007713 1.971902 +v -0.029225 0.005086 1.972896 +v -0.027930 0.004076 1.975278 +v -0.042673 0.004191 1.985801 +v -0.042386 0.006878 1.986783 +v -0.043100 0.009487 1.985808 +v -0.044397 0.010490 1.983446 +v -0.045519 0.009299 1.981081 +v -0.045807 0.006612 1.980098 +v -0.045092 0.004003 1.981074 +v -0.043795 0.003000 1.983436 +v -0.060423 0.002555 1.994935 +v -0.060141 0.005225 1.995914 +v -0.060853 0.007818 1.994946 +v -0.062143 0.008815 1.992598 +v -0.063255 0.007631 1.990247 +v -0.063538 0.004961 1.989268 +v -0.062825 0.002368 1.990236 +v -0.061535 0.001372 1.992584 +v -0.077699 0.001322 2.003781 +v -0.077416 0.003976 2.004753 +v -0.078121 0.006553 2.003789 +v -0.079401 0.007543 2.001455 +v -0.080505 0.006367 1.999117 +v -0.080788 0.003713 1.998146 +v -0.080084 0.001136 1.999110 +v -0.078804 0.000146 2.001444 +v -0.092856 -0.000025 2.011553 +v -0.092758 0.002589 2.012614 +v -0.093648 0.005126 2.011754 +v -0.095004 0.006100 2.009478 +v -0.096032 0.004940 2.007118 +v -0.096129 0.002326 2.006058 +v -0.095239 -0.000211 2.006918 +v -0.093883 -0.001185 2.009194 +v -0.109234 -0.004275 2.020192 +v -0.109394 -0.001738 2.021379 +v -0.110514 0.000727 2.020646 +v -0.111939 0.001676 2.018424 +v -0.112832 0.000554 2.016014 +v -0.112672 -0.001983 2.014827 +v -0.111552 -0.004448 2.015560 +v -0.110128 -0.005397 2.017782 +v -0.126356 -0.010155 2.028643 +v -0.126747 -0.007718 2.029939 +v -0.128067 -0.005344 2.029315 +v -0.129543 -0.004422 2.027138 +v -0.130310 -0.005494 2.024681 +v -0.129919 -0.007930 2.023386 +v -0.128600 -0.010305 2.024009 +v -0.127124 -0.011226 2.026187 +v -0.140383 -0.017228 2.035628 +v -0.141212 -0.015072 2.037156 +v -0.143059 -0.013035 2.036828 +v -0.144843 -0.012310 2.034837 +v -0.145518 -0.013322 2.032349 +v -0.144689 -0.015478 2.030821 +v -0.142841 -0.017515 2.031148 +v -0.141058 -0.018240 2.033139 +v -0.150451 -0.029594 2.043071 +v -0.151808 -0.028172 2.044997 +v -0.154317 -0.027056 2.045185 +v -0.156507 -0.026900 2.043526 +v -0.157096 -0.027795 2.040991 +v -0.155738 -0.029217 2.039065 +v -0.153230 -0.030333 2.038877 +v -0.151039 -0.030489 2.040536 +v -0.152294 -0.045847 2.048500 +v -0.153784 -0.045359 2.050740 +v -0.156452 -0.045405 2.051335 +v -0.158736 -0.045957 2.049937 +v -0.159298 -0.046692 2.047364 +v -0.157808 -0.047180 2.045123 +v -0.155140 -0.047135 2.044528 +v -0.152856 -0.046583 2.045926 +v -0.147682 -0.062951 2.051934 +v -0.149150 -0.062558 2.054186 +v -0.151769 -0.062849 2.054847 +v -0.154005 -0.063655 2.053530 +v -0.154547 -0.064502 2.051007 +v -0.153079 -0.064895 2.048755 +v -0.150460 -0.064603 2.048094 +v -0.148224 -0.063798 2.049411 +v -0.145821 -0.081719 2.059281 +v -0.147326 -0.080549 2.061192 +v -0.149969 -0.080144 2.061558 +v -0.152202 -0.080740 2.060164 +v -0.152717 -0.081989 2.057827 +v -0.151212 -0.083159 2.055916 +v -0.148569 -0.083565 2.055550 +v -0.146336 -0.082968 2.056944 +v -0.150290 -0.097204 2.070745 +v -0.151628 -0.095365 2.072166 +v -0.154115 -0.094365 2.072108 +v -0.156295 -0.094790 2.070605 +v -0.156890 -0.096391 2.068538 +v -0.155552 -0.098230 2.067117 +v -0.153065 -0.099230 2.067175 +v -0.150885 -0.098805 2.068678 +v -0.156856 -0.108325 2.082829 +v -0.158086 -0.106297 2.084044 +v -0.160475 -0.105141 2.083826 +v -0.162626 -0.105533 2.082303 +v -0.163277 -0.107244 2.080368 +v -0.162048 -0.109272 2.079154 +v -0.159658 -0.110428 2.079372 +v -0.157507 -0.110036 2.080894 +v -0.163989 -0.120676 2.096070 +v -0.165281 -0.118798 2.097413 +v -0.167713 -0.117759 2.097308 +v -0.169860 -0.118169 2.095816 +v -0.170464 -0.119787 2.093811 +v -0.169172 -0.121666 2.092468 +v -0.166740 -0.122704 2.092573 +v -0.164594 -0.122294 2.094065 +v -0.017401 0.015426 2.085032 +v -0.019030 0.013194 2.085947 +v -0.019488 0.010468 2.085032 +v -0.018506 0.008847 2.082822 +v -0.016661 0.009279 2.080613 +v -0.015032 0.011511 2.079698 +v -0.014574 0.014236 2.080613 +v -0.015556 0.015858 2.082822 +v -0.005750 0.011544 2.094616 +v -0.007294 0.009297 2.095585 +v -0.007579 0.006524 2.094810 +v -0.006436 0.004849 2.092745 +v -0.004536 0.005254 2.090601 +v -0.002992 0.007500 2.089633 +v -0.002708 0.010273 2.090408 +v -0.003850 0.011948 2.092472 +v 0.006480 0.007437 2.104652 +v 0.004839 0.005246 2.105533 +v 0.004315 0.002585 2.104575 +v 0.005213 0.001015 2.102341 +v 0.007009 0.001453 2.100138 +v 0.008650 0.003645 2.099257 +v 0.009174 0.006305 2.100215 +v 0.008276 0.007876 2.102449 +v 0.020427 -0.000696 2.113345 +v 0.018576 -0.002742 2.114089 +v 0.017480 -0.005043 2.112797 +v 0.017781 -0.006251 2.110224 +v 0.019304 -0.005658 2.107879 +v 0.021155 -0.003612 2.107135 +v 0.022251 -0.001311 2.108428 +v 0.021949 -0.000103 2.111000 +v 0.033329 -0.012302 2.117123 +v 0.031282 -0.014152 2.117795 +v 0.029642 -0.015952 2.116333 +v 0.029370 -0.016648 2.113593 +v 0.030626 -0.015832 2.111180 +v 0.032673 -0.013982 2.110507 +v 0.034313 -0.012181 2.111969 +v 0.034585 -0.011486 2.114709 +v 0.043322 -0.024441 2.117359 +v 0.041126 -0.026094 2.118005 +v 0.039293 -0.027647 2.116524 +v 0.038895 -0.028190 2.113783 +v 0.040166 -0.027406 2.111387 +v 0.042361 -0.025753 2.110741 +v 0.044195 -0.024200 2.112223 +v 0.044593 -0.023657 2.114964 +v 0.053110 -0.037804 2.119327 +v 0.050772 -0.039231 2.119929 +v 0.049009 -0.040855 2.118472 +v 0.048854 -0.041725 2.115809 +v 0.050398 -0.041330 2.113501 +v 0.052737 -0.039903 2.112899 +v 0.054499 -0.038279 2.114356 +v 0.054654 -0.037409 2.117018 +v 0.061418 -0.050922 2.124889 +v 0.058951 -0.052115 2.125401 +v 0.057244 -0.053799 2.123980 +v 0.057295 -0.054986 2.121459 +v 0.059076 -0.054982 2.119314 +v 0.061542 -0.053789 2.118802 +v 0.063250 -0.052105 2.120223 +v 0.063198 -0.050918 2.122745 +v 0.067853 -0.063013 2.131402 +v 0.065419 -0.064228 2.131924 +v 0.063735 -0.065922 2.130522 +v 0.063786 -0.067102 2.128017 +v 0.065543 -0.067077 2.125876 +v 0.067976 -0.065862 2.125354 +v 0.069661 -0.064168 2.126755 +v 0.069610 -0.062988 2.129261 +v 0.076807 -0.076315 2.137027 +v 0.074641 -0.077879 2.137687 +v 0.073009 -0.079621 2.136317 +v 0.072868 -0.080521 2.133720 +v 0.074299 -0.080052 2.131418 +v 0.076466 -0.078488 2.130758 +v 0.078098 -0.076746 2.132127 +v 0.078239 -0.075846 2.134724 +v 0.088572 -0.088502 2.139053 +v 0.086728 -0.090387 2.139776 +v 0.085158 -0.092174 2.138427 +v 0.084782 -0.092815 2.135795 +v 0.085820 -0.091935 2.133423 +v 0.087664 -0.090050 2.132700 +v 0.089234 -0.088263 2.134050 +v 0.089610 -0.087622 2.136682 +v 0.100124 -0.098492 2.139135 +v 0.098255 -0.100330 2.139849 +v 0.096697 -0.102106 2.138508 +v 0.096362 -0.102780 2.135898 +v 0.097446 -0.101956 2.133547 +v 0.099315 -0.100118 2.132833 +v 0.100873 -0.098342 2.134173 +v 0.101208 -0.097668 2.136784 +v 0.111106 -0.110470 2.141857 +v 0.108912 -0.111918 2.142471 +v 0.107317 -0.113630 2.141126 +v 0.107256 -0.114604 2.138609 +v 0.108763 -0.114269 2.136395 +v 0.110957 -0.112821 2.135781 +v 0.112551 -0.111108 2.137126 +v 0.112613 -0.110135 2.139643 +v 0.119094 -0.123394 2.148263 +v 0.116660 -0.124436 2.148684 +v 0.115040 -0.126083 2.147322 +v 0.115185 -0.127370 2.144974 +v 0.117009 -0.127544 2.143016 +v 0.119444 -0.126502 2.142595 +v 0.121063 -0.124855 2.143957 +v 0.120918 -0.123568 2.146305 +v 0.124242 -0.135211 2.156094 +v 0.121750 -0.136094 2.156418 +v 0.120132 -0.137710 2.155052 +v 0.120335 -0.139112 2.152796 +v 0.122241 -0.139479 2.150972 +v 0.124733 -0.138596 2.150648 +v 0.126352 -0.136980 2.152013 +v 0.126148 -0.135577 2.154269 +v 0.130181 -0.148609 2.164884 +v 0.127755 -0.149592 2.165272 +v 0.126154 -0.151211 2.163924 +v 0.126316 -0.152519 2.161630 +v 0.128146 -0.152748 2.159732 +v 0.130572 -0.151766 2.159343 +v 0.132173 -0.150146 2.160691 +v 0.132011 -0.148839 2.162986 +v -0.021588 0.008760 2.208712 +v -0.016178 0.012040 2.208753 +v -0.014671 0.018186 2.208712 +v -0.017950 0.023596 2.208612 +v -0.024095 0.025102 2.208513 +v -0.029505 0.021822 2.208472 +v -0.031012 0.015677 2.208513 +v -0.027733 0.010266 2.208612 +v -0.021671 0.009161 2.223045 +v -0.016293 0.012420 2.222993 +v -0.014794 0.018526 2.222851 +v -0.018053 0.023903 2.222702 +v -0.024161 0.025400 2.222633 +v -0.029539 0.022141 2.222685 +v -0.031038 0.016035 2.222827 +v -0.027779 0.010658 2.222976 +v -0.021752 0.009558 2.237123 +v -0.016407 0.012798 2.237200 +v -0.014919 0.018869 2.237199 +v -0.018159 0.024214 2.237120 +v -0.024229 0.025702 2.237010 +v -0.029574 0.022462 2.236933 +v -0.031062 0.016390 2.236934 +v -0.027822 0.011046 2.237012 +v -0.022201 0.009370 2.252508 +v -0.016903 0.012579 2.252991 +v -0.015441 0.018598 2.253456 +v -0.018669 0.023903 2.253630 +v -0.024698 0.025385 2.253412 +v -0.029996 0.022176 2.252928 +v -0.031459 0.016157 2.252463 +v -0.028230 0.010852 2.252289 +v -0.023325 0.007739 2.267241 +v -0.018090 0.010886 2.268140 +v -0.016670 0.016820 2.269083 +v -0.019897 0.022065 2.269517 +v -0.025881 0.023549 2.269189 +v -0.031117 0.020403 2.268291 +v -0.032537 0.014469 2.267348 +v -0.029309 0.009223 2.266913 +v -0.024746 0.005563 2.281095 +v -0.019527 0.008712 2.281797 +v -0.018093 0.014641 2.282461 +v -0.021284 0.019876 2.282696 +v -0.027230 0.021352 2.282366 +v -0.032449 0.018203 2.281663 +v -0.033883 0.012274 2.281000 +v -0.030692 0.007038 2.280765 +v -0.025644 0.005211 2.297419 +v -0.020420 0.008355 2.297321 +v -0.018951 0.014265 2.297020 +v -0.022096 0.019479 2.296692 +v -0.028013 0.020942 2.296531 +v -0.033236 0.017797 2.296629 +v -0.034706 0.011887 2.296930 +v -0.031561 0.006674 2.297257 +v -0.025211 0.007435 2.313661 +v -0.020035 0.010461 2.312781 +v -0.018593 0.016215 2.311548 +v -0.021728 0.021327 2.310683 +v -0.027605 0.022803 2.310694 +v -0.032780 0.019777 2.311574 +v -0.034223 0.014023 2.312808 +v -0.031087 0.008911 2.313672 +v -0.024148 0.011256 2.327667 +v -0.019020 0.014186 2.326494 +v -0.017617 0.019757 2.324694 +v -0.020759 0.024706 2.323322 +v -0.026606 0.026134 2.323182 +v -0.031733 0.023204 2.324356 +v -0.033137 0.017633 2.326155 +v -0.029995 0.012684 2.327527 +v -0.023795 0.016809 2.343251 +v -0.018701 0.019774 2.342224 +v -0.017304 0.025097 2.339879 +v -0.020422 0.029661 2.337590 +v -0.026228 0.030792 2.336697 +v -0.031321 0.027827 2.337724 +v -0.032719 0.022504 2.340069 +v -0.029601 0.017940 2.342359 +v -0.026204 0.025397 2.358155 +v -0.021158 0.028407 2.357254 +v -0.019699 0.033399 2.354376 +v -0.022681 0.037448 2.351207 +v -0.028357 0.038183 2.349604 +v -0.033403 0.035173 2.350505 +v -0.034862 0.030181 2.353383 +v -0.031880 0.026132 2.356552 +v -0.028915 0.033132 2.368823 +v -0.023892 0.036083 2.367853 +v -0.022527 0.041398 2.365669 +v -0.025618 0.045962 2.363550 +v -0.031355 0.047102 2.362737 +v -0.036378 0.044150 2.363707 +v -0.037743 0.038836 2.365891 +v -0.034652 0.034272 2.368011 +v -0.028098 0.035356 2.378832 +v -0.023133 0.038256 2.377667 +v -0.021501 0.043891 2.377758 +v -0.024159 0.048960 2.379052 +v -0.029549 0.050492 2.380791 +v -0.034514 0.047592 2.381956 +v -0.036146 0.041957 2.381864 +v -0.033488 0.036888 2.380570 +v -0.023481 0.031317 2.387259 +v -0.018633 0.034268 2.385929 +v -0.016058 0.039090 2.387951 +v -0.017263 0.042958 2.392142 +v -0.021542 0.043606 2.396047 +v -0.026389 0.040655 2.397377 +v -0.028965 0.035833 2.395354 +v -0.027760 0.031965 2.391163 +v -0.016091 0.022241 2.393043 +v -0.011322 0.025226 2.391673 +v -0.008260 0.029439 2.394204 +v -0.008700 0.032412 2.399154 +v -0.012382 0.032404 2.403623 +v -0.017151 0.029418 2.404993 +v -0.020213 0.025205 2.402461 +v -0.019774 0.022232 2.397511 +v -0.006322 0.010439 2.401309 +v -0.001555 0.013369 2.399977 +v 0.001161 0.017937 2.402179 +v 0.000234 0.021467 2.406625 +v -0.003793 0.021891 2.410711 +v -0.008560 0.018961 2.412043 +v -0.011276 0.014393 2.409841 +v -0.010349 0.010863 2.405395 +v 0.109933 0.050832 0.685001 +v 0.109539 0.048876 0.685823 +v 0.108986 0.046958 0.685001 +v 0.108598 0.046203 0.683017 +v 0.108603 0.047052 0.681033 +v 0.108997 0.049008 0.680212 +v 0.109550 0.050925 0.681033 +v 0.109938 0.051681 0.683017 +v 0.123797 0.047793 0.682762 +v 0.123498 0.045828 0.683567 +v 0.122951 0.043922 0.682750 +v 0.122476 0.043192 0.680790 +v 0.122353 0.044065 0.678835 +v 0.122652 0.046030 0.678031 +v 0.123200 0.047936 0.678848 +v 0.123674 0.048666 0.680808 +v 0.137514 0.044788 0.680541 +v 0.137087 0.042866 0.681356 +v 0.136540 0.040973 0.680545 +v 0.136193 0.040218 0.678583 +v 0.136250 0.041044 0.676619 +v 0.136677 0.042966 0.675804 +v 0.137224 0.044859 0.676616 +v 0.137570 0.045613 0.678578 +v 0.152380 0.040429 0.680584 +v 0.151608 0.038625 0.681381 +v 0.151064 0.036745 0.680574 +v 0.151067 0.035888 0.678638 +v 0.151615 0.036558 0.676706 +v 0.152388 0.038362 0.675910 +v 0.152931 0.040242 0.676716 +v 0.152928 0.041099 0.678652 +v 0.165590 0.034751 0.684932 +v 0.164493 0.033096 0.685627 +v 0.163953 0.031227 0.684826 +v 0.164287 0.030239 0.682998 +v 0.165298 0.030711 0.681215 +v 0.166395 0.032367 0.680521 +v 0.166934 0.034236 0.681322 +v 0.166601 0.035223 0.683149 +v 0.176738 0.028805 0.691209 +v 0.175669 0.027151 0.691908 +v 0.175111 0.025304 0.691103 +v 0.175393 0.024347 0.689267 +v 0.176348 0.024839 0.687474 +v 0.177417 0.026494 0.686775 +v 0.177975 0.028340 0.687580 +v 0.177693 0.029298 0.689416 +v 0.190590 0.022871 0.694758 +v 0.189897 0.021074 0.695535 +v 0.189298 0.019258 0.694725 +v 0.189142 0.018487 0.692804 +v 0.189522 0.019213 0.690895 +v 0.190214 0.021010 0.690119 +v 0.190814 0.022826 0.690928 +v 0.190970 0.023596 0.692850 +v 0.205348 0.018528 0.692979 +v 0.205045 0.016625 0.693717 +v 0.204400 0.014836 0.692917 +v 0.203792 0.014209 0.691048 +v 0.203577 0.015111 0.689205 +v 0.203880 0.017013 0.688468 +v 0.204525 0.018802 0.689267 +v 0.205133 0.019430 0.691136 +v 0.218236 0.015793 0.688271 +v 0.218075 0.013870 0.688961 +v 0.217414 0.012097 0.688173 +v 0.216640 0.011514 0.686367 +v 0.216206 0.012461 0.684602 +v 0.216367 0.014384 0.683912 +v 0.217028 0.016156 0.684701 +v 0.217802 0.016740 0.686506 +v 0.232474 0.012730 0.683196 +v 0.232218 0.010842 0.683913 +v 0.231576 0.009078 0.683125 +v 0.230923 0.008472 0.681294 +v 0.230643 0.009378 0.679493 +v 0.230899 0.011266 0.678777 +v 0.231542 0.013030 0.679564 +v 0.232194 0.013636 0.681395 +v 0.135770 0.098856 0.703399 +v 0.137704 0.099929 0.704224 +v 0.139882 0.100308 0.703399 +v 0.141029 0.099773 0.701407 +v 0.140473 0.098635 0.699415 +v 0.138539 0.097563 0.698590 +v 0.136361 0.097183 0.699415 +v 0.135214 0.097719 0.701407 +v 0.130274 0.112120 0.696743 +v 0.132157 0.113288 0.697514 +v 0.134291 0.113744 0.696655 +v 0.135426 0.113222 0.694671 +v 0.134898 0.112028 0.692723 +v 0.133016 0.110860 0.691953 +v 0.130882 0.110404 0.692811 +v 0.129746 0.110926 0.694795 +v 0.124721 0.125537 0.690014 +v 0.126644 0.126554 0.690848 +v 0.128806 0.126897 0.690048 +v 0.129940 0.126364 0.688084 +v 0.129382 0.125267 0.686105 +v 0.127459 0.124250 0.685271 +v 0.125297 0.123908 0.686071 +v 0.124163 0.124441 0.688035 +v 0.120765 0.141545 0.683208 +v 0.122758 0.142204 0.684183 +v 0.124969 0.142271 0.683504 +v 0.126104 0.141705 0.681567 +v 0.125498 0.140838 0.679508 +v 0.123505 0.140179 0.678533 +v 0.121293 0.140113 0.679213 +v 0.120158 0.140678 0.681149 +v 0.119974 0.157858 0.677754 +v 0.121976 0.158141 0.678849 +v 0.124191 0.157917 0.678272 +v 0.125320 0.157317 0.676361 +v 0.124703 0.156692 0.674235 +v 0.122701 0.156409 0.673140 +v 0.120486 0.156633 0.673718 +v 0.119357 0.157233 0.675629 +v 0.121372 0.172646 0.673774 +v 0.123352 0.172771 0.674907 +v 0.125546 0.172426 0.674368 +v 0.126667 0.171814 0.672474 +v 0.126060 0.171293 0.670334 +v 0.124080 0.171168 0.669202 +v 0.121886 0.171513 0.669741 +v 0.120765 0.172125 0.671635 +v 0.122838 0.189067 0.669318 +v 0.124813 0.189300 0.670412 +v 0.126997 0.189043 0.669853 +v 0.128112 0.188446 0.667969 +v 0.127504 0.187859 0.665863 +v 0.125530 0.187626 0.664769 +v 0.123345 0.187883 0.665327 +v 0.122230 0.188480 0.667212 +v -0.004315 0.053429 0.707740 +v -0.002556 0.052384 0.708572 +v -0.000665 0.051606 0.707740 +v 0.000252 0.051550 0.705732 +v -0.000344 0.052249 0.703724 +v -0.002102 0.053294 0.702892 +v -0.003994 0.054072 0.703724 +v -0.004910 0.054128 0.705732 +v 0.001611 0.066126 0.710149 +v 0.003384 0.065141 0.710986 +v 0.005285 0.064412 0.710168 +v 0.006201 0.064365 0.708174 +v 0.005594 0.065029 0.706172 +v 0.003821 0.066015 0.705335 +v 0.001920 0.066744 0.706154 +v 0.001004 0.066790 0.708147 +v 0.007581 0.078914 0.712576 +v 0.009307 0.077862 0.713393 +v 0.011167 0.077076 0.712568 +v 0.012070 0.077017 0.710584 +v 0.011488 0.077719 0.708603 +v 0.009762 0.078771 0.707786 +v 0.007902 0.079557 0.708611 +v 0.006999 0.079616 0.710595 +v 0.015307 0.092627 0.715551 +v 0.016877 0.091335 0.716302 +v 0.018632 0.090397 0.715443 +v 0.019542 0.090360 0.713477 +v 0.019076 0.091247 0.711555 +v 0.017506 0.092538 0.710804 +v 0.015752 0.093477 0.711663 +v 0.014841 0.093514 0.713629 +v 0.024932 0.104390 0.720099 +v 0.026313 0.102877 0.720764 +v 0.027944 0.101800 0.719859 +v 0.028868 0.101789 0.717914 +v 0.028545 0.102850 0.716069 +v 0.027164 0.104363 0.715403 +v 0.025533 0.105440 0.716308 +v 0.024609 0.105451 0.718253 +v 0.034471 0.114165 0.724498 +v 0.035981 0.112829 0.725213 +v 0.037610 0.111769 0.724317 +v 0.038404 0.111606 0.722336 +v 0.037896 0.112437 0.720430 +v 0.036386 0.113774 0.719716 +v 0.034757 0.114834 0.720612 +v 0.033964 0.114996 0.722593 +v 0.042426 0.127035 0.725126 +v 0.044309 0.126356 0.725842 +v 0.046023 0.125464 0.724954 +v 0.046564 0.124883 0.722981 +v 0.045615 0.124953 0.721080 +v 0.043732 0.125633 0.720363 +v 0.042018 0.126524 0.721252 +v 0.041477 0.127105 0.723224 +v 0.045893 0.140774 0.719757 +v 0.047953 0.140775 0.720228 +v 0.049701 0.140051 0.719288 +v 0.050113 0.139025 0.717487 +v 0.048948 0.138299 0.715881 +v 0.046889 0.138297 0.715411 +v 0.045141 0.139022 0.716351 +v 0.044729 0.140047 0.718151 +v 0.045676 0.152371 0.711496 +v 0.047735 0.152590 0.711838 +v 0.049478 0.151989 0.710836 +v 0.049885 0.150919 0.709077 +v 0.048716 0.150007 0.707591 +v 0.046657 0.149787 0.707249 +v 0.044914 0.150388 0.708251 +v 0.044507 0.151459 0.710010 +v 0.045778 0.165955 0.704442 +v 0.047819 0.165995 0.704868 +v 0.049555 0.165512 0.703817 +v 0.049968 0.164788 0.701906 +v 0.048817 0.164248 0.700253 +v 0.046776 0.164208 0.699827 +v 0.045040 0.164691 0.700877 +v 0.044627 0.165415 0.702789 +v 0.047274 0.180450 0.701131 +v 0.049286 0.180310 0.701601 +v 0.051021 0.179957 0.700525 +v 0.051461 0.179598 0.698532 +v 0.050349 0.179443 0.696791 +v 0.048336 0.179584 0.696321 +v 0.046601 0.179937 0.697398 +v 0.046161 0.180296 0.699390 +v 0.048773 0.193926 0.699953 +v 0.050768 0.193748 0.700425 +v 0.052498 0.193461 0.699347 +v 0.052949 0.193233 0.697352 +v 0.051857 0.193197 0.695608 +v 0.049862 0.193375 0.695136 +v 0.048132 0.193662 0.696214 +v 0.047681 0.193890 0.698209 +v 0.050476 0.209297 0.698520 +v 0.052461 0.209147 0.698985 +v 0.054175 0.208818 0.697920 +v 0.054613 0.208501 0.695948 +v 0.053519 0.208383 0.694225 +v 0.051534 0.208533 0.693760 +v 0.049820 0.208863 0.694825 +v 0.049382 0.209179 0.696797 +v 0.043497 0.127888 0.725067 +v 0.044062 0.126006 0.725880 +v 0.044602 0.124118 0.725067 +v 0.044802 0.123328 0.723103 +v 0.044543 0.124101 0.721138 +v 0.043979 0.125982 0.720325 +v 0.043439 0.127871 0.721138 +v 0.043239 0.128660 0.723103 +v 0.063506 0.134042 0.722931 +v 0.064159 0.132200 0.723734 +v 0.064655 0.130311 0.722928 +v 0.064704 0.129482 0.720986 +v 0.064277 0.130198 0.719045 +v 0.063624 0.132040 0.718242 +v 0.063127 0.133928 0.719048 +v 0.063078 0.134758 0.720990 +v 0.083189 0.140098 0.720812 +v 0.083707 0.138229 0.721615 +v 0.084257 0.136370 0.720812 +v 0.084518 0.135609 0.718873 +v 0.084336 0.136392 0.716934 +v 0.083818 0.138261 0.716131 +v 0.083267 0.140121 0.716935 +v 0.083007 0.140882 0.718873 +v 0.104404 0.145709 0.723957 +v 0.104613 0.143773 0.724702 +v 0.105294 0.141960 0.723927 +v 0.106046 0.141333 0.722086 +v 0.106431 0.142259 0.720258 +v 0.106222 0.144196 0.719513 +v 0.105541 0.146008 0.720288 +v 0.104788 0.146635 0.722129 +v 0.123019 0.149442 0.733752 +v 0.122943 0.147460 0.734349 +v 0.123743 0.145684 0.733642 +v 0.124950 0.145156 0.732044 +v 0.125858 0.146184 0.730491 +v 0.125934 0.148166 0.729893 +v 0.125134 0.149941 0.730600 +v 0.123927 0.150470 0.732199 +v 0.137724 0.151455 0.747003 +v 0.137544 0.149469 0.747515 +v 0.138384 0.147713 0.746848 +v 0.139752 0.147214 0.745393 +v 0.140847 0.148266 0.744003 +v 0.141027 0.150251 0.743492 +v 0.140187 0.152008 0.744159 +v 0.138819 0.152506 0.745613 +v 0.154611 0.153821 0.761915 +v 0.154503 0.151859 0.762481 +v 0.155307 0.150109 0.761793 +v 0.156552 0.149597 0.760254 +v 0.157508 0.150621 0.758766 +v 0.157617 0.152583 0.758200 +v 0.156813 0.154333 0.758888 +v 0.155568 0.154845 0.760427 +v -0.088494 0.182967 0.691985 +v -0.086322 0.182028 0.692782 +v -0.083957 0.182126 0.691985 +v -0.082786 0.183203 0.690061 +v -0.083493 0.184629 0.688137 +v -0.085665 0.185568 0.687340 +v -0.088030 0.185471 0.688137 +v -0.089201 0.184393 0.690061 +v -0.085885 0.196951 0.701377 +v -0.083727 0.196018 0.702169 +v -0.081378 0.196115 0.701377 +v -0.080214 0.197185 0.699466 +v -0.080917 0.198602 0.697554 +v -0.083075 0.199534 0.696762 +v -0.085424 0.199437 0.697554 +v -0.086588 0.198367 0.699466 +v -0.083277 0.210934 0.710769 +v -0.081133 0.210007 0.711556 +v -0.078799 0.210103 0.710769 +v -0.077643 0.211167 0.708870 +v -0.078341 0.212574 0.706971 +v -0.080485 0.213501 0.706185 +v -0.082819 0.213404 0.706971 +v -0.083975 0.212341 0.708870 +v -0.080361 0.226576 0.721277 +v -0.078231 0.225655 0.722059 +v -0.075913 0.225751 0.721277 +v -0.074764 0.226807 0.719391 +v -0.075458 0.228205 0.717505 +v -0.077588 0.229126 0.716723 +v -0.079906 0.229030 0.717505 +v -0.081054 0.227974 0.719391 +v 0.155440 0.064827 0.794932 +v 0.155059 0.062584 0.795869 +v 0.154858 0.060319 0.794932 +v 0.154954 0.059357 0.792669 +v 0.155292 0.060262 0.790407 +v 0.155673 0.062505 0.789470 +v 0.155874 0.064771 0.790407 +v 0.155778 0.065733 0.792669 +v 0.172101 0.063158 0.795452 +v 0.171849 0.060916 0.796391 +v 0.171655 0.058664 0.795461 +v 0.171633 0.057721 0.793205 +v 0.171797 0.058641 0.790946 +v 0.172049 0.060884 0.790007 +v 0.172243 0.063136 0.790938 +v 0.172264 0.064078 0.793193 +v 0.188573 0.061512 0.795959 +v 0.188145 0.059305 0.796878 +v 0.187944 0.057069 0.795952 +v 0.188087 0.056113 0.793724 +v 0.188491 0.056997 0.791499 +v 0.188919 0.059204 0.790580 +v 0.189120 0.061440 0.791505 +v 0.188977 0.062396 0.793733 +v 0.205864 0.058283 0.799771 +v 0.205039 0.056168 0.800589 +v 0.204819 0.053951 0.799665 +v 0.205332 0.052929 0.797540 +v 0.206279 0.053702 0.795459 +v 0.207104 0.055817 0.794642 +v 0.207324 0.058035 0.795566 +v 0.206811 0.059056 0.797691 +v 0.220664 0.053494 0.807455 +v 0.219481 0.051507 0.808086 +v 0.219243 0.049309 0.807158 +v 0.220091 0.048188 0.805216 +v 0.221527 0.048801 0.803397 +v 0.222710 0.050788 0.802767 +v 0.222948 0.052985 0.803694 +v 0.222100 0.054106 0.805636 +v 0.232239 0.048138 0.816973 +v 0.230930 0.046220 0.817501 +v 0.230687 0.044040 0.816574 +v 0.231653 0.042874 0.814736 +v 0.233262 0.043406 0.813063 +v 0.234572 0.045324 0.812535 +v 0.234814 0.047504 0.813462 +v 0.233848 0.048670 0.815300 +v 0.245471 0.042106 0.827662 +v 0.244262 0.040161 0.828256 +v 0.244025 0.037993 0.827339 +v 0.244900 0.036872 0.825449 +v 0.246374 0.037454 0.823693 +v 0.247583 0.039398 0.823099 +v 0.247820 0.041566 0.824015 +v 0.246945 0.042688 0.825906 +v -0.054790 0.002852 0.835406 +v -0.056127 0.005135 0.836486 +v -0.057156 0.007572 0.835406 +v -0.057274 0.008737 0.832798 +v -0.056411 0.007946 0.830191 +v -0.055073 0.005663 0.829111 +v -0.054044 0.003225 0.830191 +v -0.053927 0.002061 0.832798 +v -0.072891 -0.007071 0.831585 +v -0.074327 -0.004859 0.832637 +v -0.075412 -0.002468 0.831552 +v -0.075509 -0.001301 0.828964 +v -0.074562 -0.002040 0.826391 +v -0.073126 -0.004253 0.825338 +v -0.072041 -0.006643 0.826423 +v -0.071944 -0.007810 0.829011 +v -0.091064 -0.017032 0.827750 +v -0.092342 -0.014756 0.828824 +v -0.093333 -0.012336 0.827762 +v -0.093457 -0.011189 0.825185 +v -0.092641 -0.011988 0.822604 +v -0.091363 -0.014264 0.821530 +v -0.090372 -0.016684 0.822592 +v -0.090248 -0.017831 0.825168 +v -0.112471 -0.026007 0.825045 +v -0.113375 -0.023593 0.826152 +v -0.114191 -0.021118 0.825114 +v -0.114442 -0.020032 0.822540 +v -0.113981 -0.020971 0.819937 +v -0.113077 -0.023385 0.818831 +v -0.112260 -0.025860 0.819868 +v -0.112009 -0.026946 0.822442 +v -0.134247 -0.032207 0.825482 +v -0.134760 -0.029697 0.826579 +v -0.135400 -0.027188 0.825547 +v -0.135791 -0.026150 0.822990 +v -0.135705 -0.027191 0.820406 +v -0.135192 -0.029702 0.819309 +v -0.134552 -0.032210 0.820341 +v -0.134161 -0.033248 0.822898 +v -0.154468 -0.035763 0.827423 +v -0.154810 -0.033237 0.828507 +v -0.155213 -0.030700 0.827471 +v -0.155440 -0.029638 0.824923 +v -0.155358 -0.030673 0.822355 +v -0.155016 -0.033199 0.821272 +v -0.154613 -0.035736 0.822308 +v -0.154386 -0.036798 0.824856 +v -0.177513 -0.038478 0.826437 +v -0.177879 -0.035971 0.827511 +v -0.177907 -0.033409 0.826508 +v -0.177581 -0.032292 0.824013 +v -0.177093 -0.033275 0.821490 +v -0.176727 -0.035782 0.820415 +v -0.176699 -0.038344 0.821419 +v -0.177024 -0.039461 0.823913 +v -0.199822 -0.039148 0.819936 +v -0.200200 -0.036658 0.821000 +v -0.199856 -0.034099 0.820101 +v -0.198992 -0.032970 0.817765 +v -0.198115 -0.033932 0.815361 +v -0.197737 -0.036423 0.814297 +v -0.198081 -0.038982 0.815196 +v -0.198945 -0.040111 0.817532 +v -0.218456 -0.038323 0.811589 +v -0.218896 -0.035849 0.812622 +v -0.218634 -0.033307 0.811700 +v -0.217822 -0.032186 0.809363 +v -0.216936 -0.033142 0.806979 +v -0.216495 -0.035616 0.805946 +v -0.216758 -0.038158 0.806868 +v -0.217570 -0.039279 0.809206 +v -0.239121 -0.040253 0.805794 +v -0.239733 -0.037814 0.806776 +v -0.240029 -0.035350 0.805717 +v -0.239836 -0.034303 0.803236 +v -0.239267 -0.035287 0.800788 +v -0.238655 -0.037725 0.799806 +v -0.238359 -0.040190 0.800866 +v -0.238552 -0.041237 0.803346 +v -0.259872 -0.046065 0.805056 +v -0.260653 -0.043689 0.806021 +v -0.261499 -0.041387 0.804936 +v -0.261913 -0.040508 0.802437 +v -0.261653 -0.041567 0.799987 +v -0.260871 -0.043943 0.799022 +v -0.260026 -0.046245 0.800107 +v -0.259611 -0.047124 0.802606 +v -0.278212 -0.053701 0.807383 +v -0.279059 -0.051366 0.808347 +v -0.280104 -0.049158 0.807287 +v -0.280736 -0.048368 0.804822 +v -0.280584 -0.049460 0.802398 +v -0.279738 -0.051795 0.801433 +v -0.278692 -0.054003 0.802493 +v -0.278060 -0.054793 0.804958 +v -0.299391 -0.062385 0.809912 +v -0.300184 -0.060048 0.810865 +v -0.301081 -0.057798 0.809798 +v -0.301556 -0.056955 0.807336 +v -0.301332 -0.058011 0.804920 +v -0.300539 -0.060349 0.803966 +v -0.299642 -0.062598 0.805033 +v -0.299167 -0.063442 0.807496 +v -0.174862 -0.036651 0.826487 +v -0.177124 -0.035484 0.827533 +v -0.179491 -0.034547 0.826487 +v -0.180576 -0.034389 0.823963 +v -0.179744 -0.035102 0.821439 +v -0.177481 -0.036269 0.820393 +v -0.175114 -0.037206 0.821439 +v -0.174029 -0.037364 0.823963 +v -0.182647 -0.055146 0.827368 +v -0.184956 -0.054126 0.828420 +v -0.187305 -0.053190 0.827380 +v -0.188319 -0.052886 0.824859 +v -0.187404 -0.053392 0.822333 +v -0.185095 -0.054412 0.821281 +v -0.182745 -0.055349 0.822321 +v -0.181731 -0.055653 0.824842 +v -0.190318 -0.073382 0.828223 +v -0.192525 -0.072173 0.829247 +v -0.194862 -0.071250 0.828215 +v -0.195961 -0.071154 0.825732 +v -0.195178 -0.071942 0.823253 +v -0.192971 -0.073151 0.822229 +v -0.190633 -0.074074 0.823261 +v -0.189534 -0.074169 0.825744 +v -0.199885 -0.091652 0.833672 +v -0.201850 -0.090023 0.834550 +v -0.204181 -0.089123 0.833530 +v -0.205513 -0.089478 0.831210 +v -0.205065 -0.090882 0.828948 +v -0.203100 -0.092510 0.828069 +v -0.200769 -0.093411 0.829089 +v -0.199437 -0.093055 0.831410 +v -0.210027 -0.105976 0.844378 +v -0.211729 -0.103997 0.844993 +v -0.214055 -0.103117 0.843989 +v -0.215641 -0.103850 0.841956 +v -0.215559 -0.105767 0.840083 +v -0.213857 -0.107745 0.839468 +v -0.211532 -0.108626 0.840471 +v -0.209945 -0.107893 0.842505 +v -0.219451 -0.116025 0.857505 +v -0.221038 -0.113938 0.857979 +v -0.223352 -0.113068 0.856987 +v -0.225038 -0.113924 0.855111 +v -0.225109 -0.116005 0.853450 +v -0.223522 -0.118092 0.852976 +v -0.221208 -0.118962 0.853967 +v -0.219522 -0.118106 0.855843 +v -0.230171 -0.127612 0.872293 +v -0.231819 -0.125620 0.872860 +v -0.234115 -0.124753 0.871871 +v -0.235714 -0.125517 0.869906 +v -0.235680 -0.127466 0.868116 +v -0.234032 -0.129457 0.867549 +v -0.231736 -0.130324 0.868538 +v -0.230137 -0.129560 0.870503 +v -0.186784 0.093746 0.876343 +v -0.184982 0.095505 0.877315 +v -0.183732 0.097691 0.876343 +v -0.183767 0.099024 0.873997 +v -0.185067 0.098723 0.871650 +v -0.186869 0.096965 0.870678 +v -0.188119 0.094779 0.871650 +v -0.188083 0.093446 0.873997 +v -0.201981 0.105525 0.883240 +v -0.200190 0.107272 0.884206 +v -0.198949 0.109443 0.883240 +v -0.198984 0.110768 0.880909 +v -0.200275 0.110470 0.878578 +v -0.202065 0.108723 0.877612 +v -0.203307 0.106551 0.878578 +v -0.203272 0.105226 0.880909 +v -0.217177 0.117303 0.890137 +v -0.215399 0.119039 0.891096 +v -0.214165 0.121196 0.890137 +v -0.214200 0.122512 0.887821 +v -0.215483 0.122216 0.885505 +v -0.217262 0.120480 0.884546 +v -0.218495 0.118323 0.885505 +v -0.218460 0.117007 0.887821 +v -0.234178 0.130478 0.897855 +v -0.232411 0.132202 0.898807 +v -0.231186 0.134345 0.897855 +v -0.231221 0.135652 0.895554 +v -0.232495 0.135358 0.893253 +v -0.234262 0.133634 0.892300 +v -0.235487 0.131490 0.893253 +v -0.235452 0.130183 0.895554 +v -0.240061 -0.040433 0.805434 +v -0.237922 -0.039047 0.806322 +v -0.236528 -0.036913 0.805434 +v -0.236696 -0.035281 0.803291 +v -0.238328 -0.035107 0.801148 +v -0.240467 -0.036493 0.800260 +v -0.241861 -0.038627 0.801148 +v -0.241693 -0.040259 0.803291 +v -0.253906 -0.026514 0.817093 +v -0.251780 -0.025137 0.817975 +v -0.250396 -0.023017 0.817093 +v -0.250563 -0.021396 0.814964 +v -0.252183 -0.021223 0.812835 +v -0.254309 -0.022600 0.811953 +v -0.255693 -0.024720 0.812835 +v -0.255526 -0.026341 0.814964 +v -0.267750 -0.012596 0.828752 +v -0.265639 -0.011228 0.829629 +v -0.264263 -0.009122 0.828752 +v -0.264429 -0.007511 0.826637 +v -0.266039 -0.007339 0.824522 +v -0.268151 -0.008707 0.823646 +v -0.269526 -0.010813 0.824522 +v -0.269360 -0.012424 0.826637 +v -0.283238 0.002973 0.841797 +v -0.281141 0.004332 0.842667 +v -0.279775 0.006424 0.841797 +v -0.279939 0.008024 0.839696 +v -0.281539 0.008195 0.837594 +v -0.283636 0.006836 0.836724 +v -0.285003 0.004744 0.837594 +v -0.284838 0.003143 0.839696 +v 0.074905 -0.162730 0.917479 +v 0.073136 -0.160960 0.918471 +v 0.071020 -0.159624 0.917479 +v 0.069796 -0.159506 0.915085 +v 0.070182 -0.160673 0.912690 +v 0.071950 -0.162443 0.911699 +v 0.074067 -0.163779 0.912690 +v 0.075290 -0.163897 0.915085 +v 0.063844 -0.176542 0.922424 +v 0.062086 -0.174784 0.923410 +v 0.059984 -0.173457 0.922425 +v 0.058768 -0.173339 0.920046 +v 0.059151 -0.174499 0.917667 +v 0.060908 -0.176258 0.916682 +v 0.063011 -0.177584 0.917667 +v 0.064227 -0.177702 0.920046 +v 0.052782 -0.190355 0.927370 +v 0.051037 -0.188608 0.928349 +v 0.048948 -0.187290 0.927370 +v 0.047740 -0.187173 0.925007 +v 0.048121 -0.188325 0.922643 +v 0.049866 -0.190072 0.921665 +v 0.051955 -0.191390 0.922643 +v 0.053163 -0.191507 0.925007 +v 0.040410 -0.205807 0.932904 +v 0.038676 -0.204072 0.933876 +v 0.036601 -0.202763 0.932904 +v 0.035401 -0.202646 0.930556 +v 0.035779 -0.203791 0.928209 +v 0.037513 -0.205526 0.927236 +v 0.039588 -0.206835 0.928209 +v 0.040788 -0.206952 0.930556 +v 0.120212 -0.011426 0.967367 +v 0.118782 -0.013040 0.968258 +v 0.117273 -0.014581 0.967367 +v 0.116571 -0.015148 0.965215 +v 0.117086 -0.014407 0.963063 +v 0.118517 -0.012793 0.962171 +v 0.120025 -0.011252 0.963063 +v 0.120727 -0.010685 0.965215 +v 0.131717 -0.021531 0.966081 +v 0.130359 -0.023192 0.966961 +v 0.128892 -0.024752 0.966072 +v 0.128177 -0.025299 0.963935 +v 0.128631 -0.024512 0.961802 +v 0.129990 -0.022851 0.960922 +v 0.131457 -0.021291 0.961811 +v 0.132172 -0.020744 0.963948 +v 0.143247 -0.031659 0.964794 +v 0.141810 -0.033229 0.965676 +v 0.140308 -0.034739 0.964796 +v 0.139621 -0.035305 0.962671 +v 0.140152 -0.034594 0.960544 +v 0.141589 -0.033024 0.959662 +v 0.143091 -0.031514 0.960541 +v 0.143778 -0.030948 0.962667 +v 0.155163 -0.044044 0.964487 +v 0.153497 -0.045347 0.965365 +v 0.151872 -0.046703 0.964493 +v 0.151240 -0.047320 0.962380 +v 0.151972 -0.046835 0.960265 +v 0.153637 -0.045533 0.959387 +v 0.155262 -0.044177 0.960260 +v 0.155894 -0.043560 0.962372 +v 0.164430 -0.057844 0.966054 +v 0.162568 -0.058844 0.966897 +v 0.160838 -0.060028 0.966012 +v 0.160253 -0.060701 0.963920 +v 0.161156 -0.060470 0.961845 +v 0.163017 -0.059470 0.961002 +v 0.164747 -0.058286 0.961886 +v 0.165332 -0.057613 0.963979 +v 0.171425 -0.070773 0.968473 +v 0.169634 -0.071857 0.969324 +v 0.167971 -0.073119 0.968459 +v 0.167410 -0.073821 0.966385 +v 0.168281 -0.073551 0.964316 +v 0.170073 -0.072467 0.963466 +v 0.171736 -0.071205 0.964331 +v 0.172296 -0.070503 0.966405 +v 0.181654 -0.083098 0.969914 +v 0.180244 -0.084602 0.970805 +v 0.178857 -0.086162 0.969978 +v 0.178304 -0.086864 0.967918 +v 0.178911 -0.086297 0.965831 +v 0.180321 -0.084794 0.964941 +v 0.181708 -0.083234 0.965768 +v 0.182261 -0.082532 0.967828 +v 0.194911 -0.092232 0.969452 +v 0.193965 -0.094053 0.970328 +v 0.192913 -0.095837 0.969500 +v 0.192370 -0.096539 0.967453 +v 0.192656 -0.095749 0.965387 +v 0.193602 -0.093928 0.964511 +v 0.194654 -0.092144 0.965339 +v 0.195197 -0.091441 0.967386 +v 0.208394 -0.098110 0.967939 +v 0.207649 -0.100016 0.968790 +v 0.206746 -0.101859 0.967954 +v 0.206215 -0.102560 0.965921 +v 0.206366 -0.101709 0.963880 +v 0.207110 -0.099803 0.963028 +v 0.208013 -0.097960 0.963864 +v 0.208544 -0.097258 0.965898 +v 0.223667 -0.104912 0.966271 +v 0.222791 -0.106740 0.967130 +v 0.221795 -0.108524 0.966309 +v 0.221262 -0.109218 0.964289 +v 0.221504 -0.108416 0.962253 +v 0.222380 -0.106589 0.961394 +v 0.223376 -0.104805 0.962215 +v 0.223909 -0.104111 0.964235 +v 0.211483 0.043815 1.017838 +v 0.213577 0.042317 1.018648 +v 0.216134 0.042014 1.017838 +v 0.217656 0.043084 1.015882 +v 0.217252 0.044900 1.013927 +v 0.215158 0.046398 1.013116 +v 0.212601 0.046701 1.013927 +v 0.211079 0.045631 1.015882 +v 0.216878 0.057703 1.029604 +v 0.218959 0.056215 1.030409 +v 0.221499 0.055914 1.029604 +v 0.223011 0.056977 1.027661 +v 0.222609 0.058781 1.025719 +v 0.220528 0.060269 1.024914 +v 0.217988 0.060570 1.025719 +v 0.216476 0.059507 1.027661 +v 0.222273 0.071591 1.041371 +v 0.224340 0.070112 1.042170 +v 0.226863 0.069813 1.041371 +v 0.228365 0.070869 1.039441 +v 0.227966 0.072661 1.037511 +v 0.225899 0.074140 1.036711 +v 0.223376 0.074439 1.037511 +v 0.221874 0.073383 1.039441 +v 0.228306 0.087126 1.054535 +v 0.230359 0.085658 1.055329 +v 0.232866 0.085361 1.054535 +v 0.234358 0.086410 1.052618 +v 0.233961 0.088190 1.050700 +v 0.231908 0.089659 1.049906 +v 0.229402 0.089955 1.050700 +v 0.227910 0.088907 1.052618 +v -0.247567 0.079759 1.039962 +v -0.245648 0.081463 1.040799 +v -0.244724 0.083857 1.039962 +v -0.245335 0.085538 1.037942 +v -0.247125 0.085523 1.035921 +v -0.249044 0.083819 1.035084 +v -0.249968 0.081426 1.035921 +v -0.249357 0.079744 1.037942 +v -0.262408 0.090078 1.053014 +v -0.260501 0.091770 1.053846 +v -0.259583 0.094149 1.053014 +v -0.260191 0.095819 1.051007 +v -0.261968 0.095804 1.048999 +v -0.263875 0.094111 1.048168 +v -0.264793 0.091733 1.048999 +v -0.264186 0.090063 1.051007 +v -0.277249 0.100397 1.066066 +v -0.275355 0.102078 1.066892 +v -0.274442 0.104440 1.066066 +v -0.275046 0.106100 1.064072 +v -0.276812 0.106085 1.062077 +v -0.278706 0.104404 1.061251 +v -0.279618 0.102041 1.062077 +v -0.279015 0.100381 1.064072 +v -0.293851 0.111937 1.080668 +v -0.291969 0.113608 1.081489 +v -0.291063 0.115955 1.080668 +v -0.291663 0.117603 1.078687 +v -0.293417 0.117588 1.076706 +v -0.295298 0.115918 1.075886 +v -0.296205 0.113571 1.076706 +v -0.295605 0.111922 1.078687 +v -0.062045 -0.017450 1.095425 +v -0.063679 -0.016227 1.096199 +v -0.065609 -0.015561 1.095425 +v -0.066703 -0.015842 1.093557 +v -0.066321 -0.016905 1.091689 +v -0.064686 -0.018128 1.090916 +v -0.062757 -0.018794 1.091689 +v -0.061663 -0.018513 1.093557 +v -0.067866 -0.029219 1.100517 +v -0.069518 -0.028059 1.101310 +v -0.071453 -0.027431 1.100557 +v -0.072537 -0.027703 1.098697 +v -0.072134 -0.028715 1.096821 +v -0.070482 -0.029875 1.096027 +v -0.068547 -0.030503 1.096781 +v -0.067463 -0.030231 1.098640 +v -0.073709 -0.041033 1.105628 +v -0.075312 -0.039804 1.106382 +v -0.077211 -0.039133 1.105612 +v -0.078293 -0.039413 1.103769 +v -0.077925 -0.040480 1.101932 +v -0.076322 -0.041709 1.101178 +v -0.074424 -0.042380 1.101948 +v -0.073341 -0.042100 1.103792 +v -0.081110 -0.053347 1.111931 +v -0.082614 -0.051975 1.112600 +v -0.084471 -0.051258 1.111808 +v -0.085594 -0.051618 1.110019 +v -0.085325 -0.052842 1.108281 +v -0.083822 -0.054214 1.107613 +v -0.081965 -0.054930 1.108405 +v -0.080841 -0.054571 1.110193 +v -0.088670 -0.064255 1.119628 +v -0.090069 -0.062755 1.120200 +v -0.091887 -0.062004 1.119386 +v -0.093059 -0.062441 1.117663 +v -0.092899 -0.063811 1.116041 +v -0.091500 -0.065310 1.115469 +v -0.089681 -0.066061 1.116283 +v -0.088509 -0.065624 1.118006 +v -0.096257 -0.073371 1.127239 +v -0.097552 -0.071769 1.127724 +v -0.099207 -0.070846 1.126783 +v -0.100253 -0.071143 1.124969 +v -0.100078 -0.072485 1.123343 +v -0.098783 -0.074086 1.122858 +v -0.097128 -0.075009 1.123799 +v -0.096082 -0.074713 1.125613 +v -0.107168 -0.083188 1.133087 +v -0.108381 -0.081530 1.133532 +v -0.109697 -0.080313 1.132434 +v -0.110344 -0.080250 1.130435 +v -0.109944 -0.081377 1.128706 +v -0.108730 -0.083035 1.128261 +v -0.107414 -0.084251 1.129359 +v -0.106767 -0.084315 1.131358 +v -0.119891 -0.092544 1.134244 +v -0.121017 -0.090838 1.134677 +v -0.121946 -0.089354 1.133538 +v -0.122135 -0.088961 1.131496 +v -0.121473 -0.089888 1.129746 +v -0.120347 -0.091594 1.129313 +v -0.119418 -0.093078 1.130452 +v -0.119229 -0.093471 1.132494 +v -0.132057 -0.099491 1.132448 +v -0.132986 -0.097688 1.132887 +v -0.133709 -0.096099 1.131765 +v -0.133802 -0.095654 1.129741 +v -0.133211 -0.096614 1.127999 +v -0.132282 -0.098416 1.127560 +v -0.131559 -0.100006 1.128681 +v -0.131466 -0.100451 1.130705 +v -0.145833 -0.105433 1.132639 +v -0.146471 -0.103519 1.133064 +v -0.147204 -0.101947 1.131950 +v -0.147603 -0.101637 1.129952 +v -0.147434 -0.102771 1.128238 +v -0.146796 -0.104684 1.127814 +v -0.146063 -0.106257 1.128927 +v -0.145663 -0.106567 1.130926 +v -0.159613 -0.109543 1.136341 +v -0.159953 -0.107554 1.136692 +v -0.160688 -0.105994 1.135588 +v -0.161388 -0.105776 1.133675 +v -0.161641 -0.107029 1.132074 +v -0.161301 -0.109018 1.131723 +v -0.160566 -0.110578 1.132828 +v -0.159866 -0.110796 1.134741 +v -0.172055 -0.111548 1.141427 +v -0.172262 -0.109547 1.141726 +v -0.172969 -0.107992 1.140620 +v -0.173760 -0.107795 1.138756 +v -0.174173 -0.109071 1.137226 +v -0.173965 -0.111073 1.136926 +v -0.173259 -0.112627 1.138032 +v -0.172467 -0.112825 1.139897 +v -0.186126 -0.113896 1.147099 +v -0.186423 -0.111925 1.147432 +v -0.187141 -0.110384 1.146339 +v -0.187860 -0.110175 1.144462 +v -0.188159 -0.111422 1.142899 +v -0.187862 -0.113393 1.142567 +v -0.187143 -0.114935 1.143659 +v -0.186424 -0.115143 1.145536 +v -0.106722 -0.081196 1.132629 +v -0.108692 -0.081048 1.133346 +v -0.110583 -0.081623 1.132629 +v -0.111286 -0.082584 1.130896 +v -0.110390 -0.083369 1.129164 +v -0.108419 -0.083517 1.128447 +v -0.106529 -0.082942 1.129164 +v -0.105826 -0.081980 1.130896 +v -0.103720 -0.099149 1.141327 +v -0.105663 -0.099104 1.142091 +v -0.107531 -0.099747 1.141413 +v -0.108230 -0.100700 1.139691 +v -0.107350 -0.101405 1.137934 +v -0.105407 -0.101450 1.137170 +v -0.103538 -0.100807 1.137847 +v -0.102840 -0.099854 1.139569 +v -0.100702 -0.117219 1.150084 +v -0.102651 -0.117032 1.150771 +v -0.104520 -0.117571 1.150048 +v -0.105214 -0.118520 1.148339 +v -0.104326 -0.119325 1.146644 +v -0.102377 -0.119512 1.145957 +v -0.100508 -0.118973 1.146680 +v -0.099814 -0.118023 1.148390 +v -0.100615 -0.136916 1.161012 +v -0.102549 -0.136401 1.161510 +v -0.104403 -0.136709 1.160664 +v -0.105093 -0.137659 1.158969 +v -0.104213 -0.138694 1.157418 +v -0.102280 -0.139209 1.156920 +v -0.100425 -0.138901 1.157766 +v -0.099736 -0.137951 1.159461 +v -0.104776 -0.154745 1.172728 +v -0.106628 -0.153921 1.173019 +v -0.108423 -0.154010 1.172037 +v -0.109109 -0.154959 1.170357 +v -0.108285 -0.156214 1.168964 +v -0.106433 -0.157038 1.168673 +v -0.104637 -0.156949 1.169655 +v -0.103951 -0.156000 1.171335 +v -0.111335 -0.169457 1.183740 +v -0.113128 -0.168516 1.183940 +v -0.114879 -0.168520 1.182903 +v -0.115561 -0.169466 1.181236 +v -0.114776 -0.170799 1.179915 +v -0.112983 -0.171740 1.179715 +v -0.111233 -0.171736 1.180752 +v -0.110550 -0.170791 1.182419 +v -0.118535 -0.185928 1.196008 +v -0.120350 -0.185078 1.196269 +v -0.122113 -0.185140 1.195282 +v -0.122790 -0.186078 1.193624 +v -0.121986 -0.187342 1.192268 +v -0.120171 -0.188192 1.192007 +v -0.118408 -0.188130 1.192994 +v -0.117731 -0.187192 1.194652 +v 0.090706 0.028858 1.184528 +v 0.091708 0.027133 1.185354 +v 0.092693 0.025398 1.184528 +v 0.093083 0.024670 1.182534 +v 0.092650 0.025374 1.180539 +v 0.091648 0.027099 1.179713 +v 0.090664 0.028834 1.180539 +v 0.090274 0.029562 1.182534 +v 0.102978 0.036056 1.183975 +v 0.104010 0.034363 1.184795 +v 0.104987 0.032639 1.183974 +v 0.105338 0.031893 1.181993 +v 0.104857 0.032563 1.180013 +v 0.103826 0.034256 1.179193 +v 0.102848 0.035981 1.180014 +v 0.102497 0.036726 1.181995 +v 0.115186 0.043217 1.183425 +v 0.116162 0.041506 1.184240 +v 0.117134 0.039794 1.183425 +v 0.117534 0.039082 1.181455 +v 0.117127 0.039790 1.179485 +v 0.116152 0.041501 1.178670 +v 0.115179 0.043213 1.179485 +v 0.114779 0.043924 1.181455 +v 0.128955 0.050784 1.183942 +v 0.129737 0.048985 1.184740 +v 0.130690 0.047276 1.183929 +v 0.131256 0.046658 1.181983 +v 0.131103 0.047494 1.180043 +v 0.130320 0.049294 1.179245 +v 0.129367 0.051003 1.180056 +v 0.128801 0.051620 1.182002 +v 0.142771 0.056839 1.187065 +v 0.143351 0.054961 1.187819 +v 0.144283 0.053256 1.187009 +v 0.145021 0.052723 1.185112 +v 0.145132 0.053674 1.183237 +v 0.144552 0.055552 1.182484 +v 0.143620 0.057256 1.183293 +v 0.142882 0.057790 1.185191 +v 0.155299 0.061792 1.191007 +v 0.156038 0.060000 1.191792 +v 0.157016 0.058330 1.191000 +v 0.157660 0.057760 1.189094 +v 0.157593 0.058623 1.187191 +v 0.156854 0.060415 1.186405 +v 0.155876 0.062085 1.187197 +v 0.155232 0.062655 1.189103 +v 0.168317 0.069573 1.191746 +v 0.169544 0.068097 1.192542 +v 0.170628 0.066508 1.191758 +v 0.170935 0.065736 1.189854 +v 0.170285 0.066234 1.187945 +v 0.169058 0.067709 1.187149 +v 0.167974 0.069298 1.187932 +v 0.167667 0.070071 1.189836 +v 0.178978 0.079607 1.187562 +v 0.180607 0.078517 1.188208 +v 0.181779 0.077025 1.187396 +v 0.181808 0.076005 1.185602 +v 0.180677 0.076055 1.183876 +v 0.179048 0.077145 1.183230 +v 0.177876 0.078638 1.184042 +v 0.177846 0.079657 1.185836 +v 0.186218 0.089508 1.180784 +v 0.187968 0.088588 1.181325 +v 0.189165 0.087145 1.180495 +v 0.189107 0.086024 1.178779 +v 0.187827 0.085882 1.177182 +v 0.186077 0.086803 1.176641 +v 0.184880 0.088246 1.177472 +v 0.184939 0.089366 1.179188 +v 0.194378 0.100500 1.173361 +v 0.196029 0.099474 1.173970 +v 0.197196 0.098014 1.173162 +v 0.197197 0.096974 1.171410 +v 0.196029 0.096965 1.169741 +v 0.194378 0.097991 1.169132 +v 0.193211 0.099451 1.169940 +v 0.193211 0.100491 1.171692 +v 0.169157 -0.021817 1.226967 +v 0.166848 -0.020847 1.227973 +v 0.164399 -0.020323 1.226967 +v 0.163244 -0.020552 1.224538 +v 0.164060 -0.021399 1.222109 +v 0.166369 -0.022370 1.221102 +v 0.168819 -0.022894 1.222109 +v 0.169973 -0.022665 1.224538 +v 0.162942 -0.041549 1.231757 +v 0.160648 -0.040586 1.232756 +v 0.158215 -0.040065 1.231757 +v 0.157067 -0.040292 1.229344 +v 0.157878 -0.041134 1.226930 +v 0.160172 -0.042098 1.225931 +v 0.162605 -0.042619 1.226930 +v 0.163753 -0.042392 1.229344 +v 0.156726 -0.061282 1.236547 +v 0.154447 -0.060324 1.237540 +v 0.152030 -0.059807 1.236547 +v 0.150891 -0.060033 1.234149 +v 0.151696 -0.060869 1.231752 +v 0.153975 -0.061827 1.230759 +v 0.156392 -0.062345 1.231752 +v 0.157532 -0.062119 1.234149 +v 0.149775 -0.083356 1.241907 +v 0.147512 -0.082405 1.242894 +v 0.145111 -0.081891 1.241907 +v 0.143979 -0.082115 1.239526 +v 0.144779 -0.082946 1.237144 +v 0.147043 -0.083898 1.236158 +v 0.149444 -0.084412 1.237144 +v 0.150576 -0.084187 1.239526 +v -0.059351 0.265129 1.295463 +v -0.057587 0.266727 1.296445 +v -0.055723 0.268208 1.295463 +v -0.054851 0.268703 1.293091 +v -0.055481 0.267922 1.290720 +v -0.057245 0.266324 1.289737 +v -0.059109 0.264844 1.290720 +v -0.059982 0.264349 1.293091 +v -0.070676 0.278499 1.294066 +v -0.068924 0.280087 1.295042 +v -0.067072 0.281558 1.294066 +v -0.066205 0.282050 1.291710 +v -0.066832 0.281275 1.289354 +v -0.068584 0.279687 1.288378 +v -0.070436 0.278216 1.289354 +v -0.071303 0.277724 1.291710 +v -0.082001 0.291870 1.292670 +v -0.080261 0.293447 1.293639 +v -0.078421 0.294908 1.292670 +v -0.077560 0.295396 1.290329 +v -0.078182 0.294627 1.287988 +v -0.079923 0.293049 1.287019 +v -0.081763 0.291588 1.287988 +v -0.082624 0.291100 1.290329 +v -0.094672 0.306825 1.291109 +v -0.092943 0.308392 1.292072 +v -0.091115 0.309844 1.291109 +v -0.090260 0.310329 1.288784 +v -0.090878 0.309564 1.286459 +v -0.092607 0.307997 1.285496 +v -0.094435 0.306546 1.286459 +v -0.095290 0.306061 1.288784 +v -0.056231 0.030087 1.350180 +v -0.056628 0.032750 1.351140 +v -0.058012 0.035059 1.350180 +v -0.059573 0.035661 1.347863 +v -0.060396 0.034205 1.345546 +v -0.059999 0.031542 1.344586 +v -0.058614 0.029233 1.345546 +v -0.057054 0.028631 1.347863 +v -0.073360 0.023617 1.359448 +v -0.073817 0.026240 1.360437 +v -0.075200 0.028532 1.359487 +v -0.076699 0.029150 1.357155 +v -0.077435 0.027733 1.354806 +v -0.076978 0.025110 1.353817 +v -0.075595 0.022818 1.354767 +v -0.074096 0.022200 1.357099 +v -0.090412 0.017175 1.368672 +v -0.090780 0.019814 1.369605 +v -0.092144 0.022095 1.368656 +v -0.093706 0.022683 1.366379 +v -0.094551 0.021233 1.364110 +v -0.094183 0.018595 1.363176 +v -0.092819 0.016313 1.364126 +v -0.091257 0.015725 1.366402 +v -0.108923 0.011262 1.380696 +v -0.108971 0.013972 1.381418 +v -0.110172 0.016282 1.380374 +v -0.111822 0.016839 1.378176 +v -0.112954 0.015317 1.376110 +v -0.112906 0.012607 1.375387 +v -0.111706 0.010297 1.376431 +v -0.110056 0.009740 1.378630 +v -0.127201 0.009700 1.394329 +v -0.126929 0.012432 1.394808 +v -0.127957 0.014748 1.393646 +v -0.129682 0.015291 1.391526 +v -0.131095 0.013743 1.389688 +v -0.131366 0.011010 1.389210 +v -0.130339 0.008694 1.390371 +v -0.128613 0.008151 1.392492 +v -0.142349 0.009875 1.407354 +v -0.142326 0.012556 1.408049 +v -0.143707 0.014808 1.407216 +v -0.145685 0.015311 1.405343 +v -0.147100 0.013771 1.403527 +v -0.147123 0.011090 1.402832 +v -0.145742 0.008838 1.403665 +v -0.143764 0.008335 1.405538 +v -0.154763 0.003016 1.421542 +v -0.155438 0.005231 1.423030 +v -0.157555 0.006989 1.423051 +v -0.159873 0.007262 1.421593 +v -0.161035 0.005889 1.419510 +v -0.160359 0.003674 1.418022 +v -0.158242 0.001916 1.418001 +v -0.155924 0.001643 1.419459 +v -0.160865 -0.012661 1.432508 +v -0.161911 -0.011318 1.434648 +v -0.164411 -0.010479 1.435371 +v -0.166902 -0.010637 1.434253 +v -0.167923 -0.011698 1.431949 +v -0.166878 -0.013042 1.429809 +v -0.164377 -0.013880 1.429087 +v -0.161887 -0.013723 1.430205 +v -0.160880 -0.031550 1.440061 +v -0.161934 -0.030368 1.442268 +v -0.164449 -0.029860 1.443160 +v -0.166953 -0.030323 1.442213 +v -0.167979 -0.031486 1.439982 +v -0.166925 -0.032668 1.437775 +v -0.164410 -0.033176 1.436883 +v -0.161906 -0.032713 1.437830 +v -0.161459 -0.050404 1.452668 +v -0.162472 -0.048623 1.454425 +v -0.164950 -0.047758 1.455052 +v -0.167444 -0.048316 1.454181 +v -0.168491 -0.049971 1.452324 +v -0.167479 -0.051752 1.450566 +v -0.165000 -0.052617 1.449939 +v -0.162507 -0.052059 1.450810 +v -0.164334 -0.063420 1.470233 +v -0.165261 -0.061193 1.471403 +v -0.167679 -0.060070 1.471694 +v -0.170170 -0.060709 1.470936 +v -0.171276 -0.062735 1.469572 +v -0.170348 -0.064962 1.468401 +v -0.167931 -0.066086 1.468110 +v -0.165439 -0.065447 1.468869 +v -0.166962 -0.071592 1.488168 +v -0.167851 -0.069265 1.489110 +v -0.170238 -0.068097 1.489301 +v -0.172725 -0.068774 1.488627 +v -0.173855 -0.070898 1.487484 +v -0.172966 -0.073226 1.486542 +v -0.170579 -0.074393 1.486351 +v -0.168092 -0.073717 1.487025 +v -0.169905 -0.080909 1.508187 +v -0.170811 -0.078674 1.509276 +v -0.173192 -0.077549 1.509534 +v -0.175654 -0.078193 1.508809 +v -0.176755 -0.080229 1.507526 +v -0.175850 -0.082464 1.506436 +v -0.173468 -0.083589 1.506178 +v -0.171006 -0.082945 1.506903 +v -0.124654 0.146959 1.347049 +v -0.122175 0.146393 1.348101 +v -0.119678 0.145909 1.347049 +v -0.118627 0.145791 1.344508 +v -0.119636 0.146107 1.341967 +v -0.122115 0.146673 1.340915 +v -0.124612 0.147157 1.341967 +v -0.125663 0.147275 1.344508 +v -0.121916 0.166111 1.346390 +v -0.119410 0.165790 1.347437 +v -0.116914 0.165400 1.346391 +v -0.115889 0.165170 1.343867 +v -0.116936 0.165234 1.341341 +v -0.119442 0.165555 1.340295 +v -0.121938 0.165944 1.341340 +v -0.122963 0.166175 1.343865 +v -0.119185 0.185225 1.345731 +v -0.116761 0.184563 1.346764 +v -0.114305 0.184047 1.345723 +v -0.113257 0.183978 1.343218 +v -0.114229 0.184398 1.340716 +v -0.116653 0.185060 1.339683 +v -0.119109 0.185576 1.340724 +v -0.120157 0.185645 1.343230 +v -0.112487 0.204455 1.349331 +v -0.110356 0.203043 1.350199 +v -0.108021 0.202246 1.349105 +v -0.106849 0.202531 1.346690 +v -0.107527 0.203730 1.344369 +v -0.109658 0.205142 1.343501 +v -0.111993 0.205939 1.344595 +v -0.113165 0.205654 1.347010 +v -0.101929 0.219006 1.357969 +v -0.100240 0.216987 1.358484 +v -0.098082 0.215963 1.357266 +v -0.096717 0.216534 1.355029 +v -0.096947 0.218365 1.353083 +v -0.098635 0.220383 1.352568 +v -0.100794 0.221407 1.353786 +v -0.102158 0.220836 1.356023 +v -0.090155 0.228343 1.368892 +v -0.088687 0.226144 1.369214 +v -0.086621 0.225053 1.367933 +v -0.085168 0.225711 1.365800 +v -0.085179 0.227731 1.364063 +v -0.086647 0.229930 1.363740 +v -0.088713 0.231020 1.365021 +v -0.090166 0.230363 1.367155 +v -0.077010 0.239018 1.381045 +v -0.075407 0.236961 1.381497 +v -0.073301 0.235926 1.380274 +v -0.071925 0.236520 1.378093 +v -0.072085 0.238393 1.376231 +v -0.073688 0.240450 1.375779 +v -0.075794 0.241485 1.377002 +v -0.077170 0.240892 1.379183 +v -0.157501 0.001886 1.423013 +v -0.157152 0.004414 1.424043 +v -0.157240 0.006964 1.423013 +v -0.157714 0.008043 1.420526 +v -0.158296 0.007019 1.418039 +v -0.158645 0.004491 1.417009 +v -0.158558 0.001940 1.418039 +v -0.158084 0.000861 1.420526 +v -0.177312 0.001694 1.425915 +v -0.177182 0.004210 1.426978 +v -0.177358 0.006746 1.425970 +v -0.177735 0.007816 1.423482 +v -0.178094 0.006793 1.420972 +v -0.178225 0.004277 1.419909 +v -0.178049 0.001741 1.420917 +v -0.177671 0.000671 1.423405 +v -0.197115 0.001501 1.428816 +v -0.196678 0.003991 1.429812 +v -0.196728 0.006506 1.428787 +v -0.197235 0.007574 1.426341 +v -0.197902 0.006568 1.423907 +v -0.198338 0.004079 1.422910 +v -0.198288 0.001563 1.423936 +v -0.197782 0.000496 1.426382 +v -0.217339 0.005017 1.435701 +v -0.216226 0.007361 1.436447 +v -0.216002 0.009808 1.435329 +v -0.216796 0.010924 1.433003 +v -0.218143 0.010056 1.430832 +v -0.219256 0.007712 1.430087 +v -0.219481 0.005266 1.431204 +v -0.218687 0.004149 1.433530 +v -0.233331 0.012928 1.446557 +v -0.231650 0.014986 1.446920 +v -0.231194 0.017307 1.445657 +v -0.232229 0.018532 1.443508 +v -0.234150 0.017943 1.441732 +v -0.235831 0.015885 1.441369 +v -0.236287 0.013564 1.442632 +v -0.235252 0.012339 1.444781 +v -0.244426 0.022844 1.458754 +v -0.242563 0.024741 1.458928 +v -0.242032 0.026987 1.457598 +v -0.243143 0.028267 1.455543 +v -0.245246 0.027831 1.453967 +v -0.247109 0.025935 1.453793 +v -0.247640 0.023689 1.455123 +v -0.246529 0.022409 1.457178 +v -0.257037 0.033861 1.472354 +v -0.255316 0.035848 1.472656 +v -0.254840 0.038121 1.471387 +v -0.255889 0.039348 1.469291 +v -0.257847 0.038811 1.467594 +v -0.259568 0.036824 1.467291 +v -0.260044 0.034551 1.468560 +v -0.258995 0.033323 1.470657 +v 0.155436 -0.011300 1.501530 +v 0.153772 -0.013296 1.502436 +v 0.153057 -0.015794 1.501530 +v 0.153710 -0.017331 1.499342 +v 0.155348 -0.017007 1.497155 +v 0.157012 -0.015010 1.496248 +v 0.157727 -0.012512 1.497155 +v 0.157074 -0.010975 1.499342 +v 0.171232 -0.018035 1.511245 +v 0.169738 -0.020094 1.512247 +v 0.169158 -0.022638 1.511431 +v 0.169832 -0.024178 1.509274 +v 0.171365 -0.023810 1.507039 +v 0.172859 -0.021751 1.506037 +v 0.173439 -0.019206 1.506853 +v 0.172765 -0.017667 1.509010 +v 0.187292 -0.024899 1.521131 +v 0.185585 -0.026834 1.521982 +v 0.184828 -0.029272 1.521052 +v 0.185462 -0.030784 1.518886 +v 0.187117 -0.030484 1.516752 +v 0.188823 -0.028549 1.515901 +v 0.189581 -0.026111 1.516831 +v 0.188946 -0.024599 1.518998 +v 0.202264 -0.036220 1.532920 +v 0.200124 -0.037791 1.533407 +v 0.199007 -0.039925 1.532188 +v 0.199566 -0.041371 1.529979 +v 0.201475 -0.041282 1.528073 +v 0.203615 -0.039711 1.527586 +v 0.204732 -0.037577 1.528804 +v 0.204173 -0.036131 1.531013 +v 0.212079 -0.051226 1.544606 +v 0.209633 -0.052319 1.544719 +v 0.208261 -0.054055 1.543205 +v 0.208766 -0.055417 1.540951 +v 0.210852 -0.055607 1.539277 +v 0.213298 -0.054514 1.539164 +v 0.214671 -0.052778 1.540678 +v 0.214166 -0.051416 1.542932 +v 0.217203 -0.066817 1.554750 +v 0.214684 -0.067683 1.554713 +v 0.213247 -0.069227 1.553085 +v 0.213735 -0.070545 1.550822 +v 0.215860 -0.070865 1.549249 +v 0.218379 -0.069999 1.549287 +v 0.219816 -0.068455 1.550914 +v 0.219328 -0.067137 1.553177 +v 0.223004 -0.083949 1.565968 +v 0.220560 -0.084962 1.566033 +v 0.219182 -0.086622 1.564502 +v 0.219675 -0.087956 1.562270 +v 0.221752 -0.088182 1.560646 +v 0.224195 -0.087169 1.560580 +v 0.225574 -0.085509 1.562112 +v 0.225081 -0.084175 1.564343 +v 0.016290 0.052536 1.545014 +v 0.018974 0.052809 1.545957 +v 0.021323 0.054135 1.545014 +v 0.021961 0.055739 1.542736 +v 0.020514 0.056681 1.540458 +v 0.017830 0.056408 1.539515 +v 0.015482 0.055082 1.540458 +v 0.014844 0.053478 1.542736 +v 0.010042 0.071152 1.556348 +v 0.012697 0.071460 1.557309 +v 0.015023 0.072805 1.556387 +v 0.015656 0.074399 1.554124 +v 0.014227 0.075309 1.551844 +v 0.011572 0.075001 1.550884 +v 0.009246 0.073656 1.551805 +v 0.008612 0.072062 1.554069 +v 0.003778 0.089814 1.567711 +v 0.006434 0.090068 1.568633 +v 0.008757 0.091368 1.567695 +v 0.009387 0.092952 1.565445 +v 0.007955 0.093892 1.563202 +v 0.005300 0.093638 1.562279 +v 0.002976 0.092338 1.563217 +v 0.002346 0.090754 1.565467 +v -0.002168 0.110802 1.580789 +v 0.000505 0.110933 1.581630 +v 0.002837 0.112140 1.580644 +v 0.003463 0.113716 1.578410 +v 0.002016 0.114738 1.576236 +v -0.000657 0.114607 1.575395 +v -0.002990 0.113400 1.576381 +v -0.003615 0.111824 1.578615 +v -0.006487 0.131091 1.593897 +v -0.003804 0.131097 1.594653 +v -0.001468 0.132211 1.593618 +v -0.000846 0.133779 1.591399 +v -0.002304 0.134884 1.589296 +v -0.004987 0.134878 1.588541 +v -0.007324 0.133764 1.589575 +v -0.007945 0.132196 1.591794 +v -0.009357 0.149155 1.605836 +v -0.006683 0.149115 1.606557 +v -0.004355 0.150182 1.605503 +v -0.003736 0.151731 1.603292 +v -0.005189 0.152855 1.601219 +v -0.007863 0.152895 1.600499 +v -0.010192 0.151828 1.601553 +v -0.010810 0.150278 1.603764 +v -0.012677 0.169543 1.619043 +v -0.010028 0.169550 1.619788 +v -0.007715 0.170616 1.618744 +v -0.007094 0.172116 1.616523 +v -0.008527 0.173173 1.614425 +v -0.011176 0.173166 1.613679 +v -0.013489 0.172100 1.614723 +v -0.014111 0.170600 1.616944 +v -0.016670 0.190283 1.631522 +v -0.014047 0.190336 1.632291 +v -0.011750 0.191399 1.631256 +v -0.011124 0.192849 1.629024 +v -0.012537 0.193837 1.626902 +v -0.015161 0.193784 1.626132 +v -0.017458 0.192721 1.627167 +v -0.018083 0.191271 1.629399 +v -0.020288 0.208812 1.642383 +v -0.017673 0.208819 1.643120 +v -0.015391 0.209874 1.642092 +v -0.014778 0.211359 1.639900 +v -0.016193 0.212403 1.637830 +v -0.018808 0.212395 1.637093 +v -0.021091 0.211340 1.638122 +v -0.021704 0.209856 1.640313 +v -0.023537 0.228883 1.655767 +v -0.020920 0.228775 1.656421 +v -0.018654 0.229829 1.655403 +v -0.018064 0.231427 1.653309 +v -0.019498 0.232633 1.651366 +v -0.022114 0.232741 1.650712 +v -0.024381 0.231687 1.651730 +v -0.024970 0.230089 1.653824 +v -0.025735 0.247985 1.670698 +v -0.023123 0.247769 1.671263 +v -0.020872 0.248821 1.670256 +v -0.020300 0.250526 1.668267 +v -0.021743 0.251885 1.666461 +v -0.024355 0.252102 1.665896 +v -0.026607 0.251049 1.666903 +v -0.027178 0.249344 1.668892 +v -0.026964 0.264328 1.685025 +v -0.024365 0.264069 1.685549 +v -0.022129 0.265116 1.684550 +v -0.021565 0.266856 1.682614 +v -0.023005 0.268270 1.680874 +v -0.025604 0.268529 1.680350 +v -0.027840 0.267481 1.681349 +v -0.028404 0.265741 1.683286 +v -0.028385 0.282781 1.701133 +v -0.025806 0.282555 1.701680 +v -0.023584 0.283594 1.700686 +v -0.023021 0.285290 1.698735 +v -0.024447 0.286650 1.696968 +v -0.027027 0.286876 1.696421 +v -0.029248 0.285837 1.697415 +v -0.029811 0.284141 1.699366 +v 0.113468 0.112596 1.540857 +v 0.114541 0.110278 1.541883 +v 0.115168 0.107803 1.540857 +v 0.114982 0.106619 1.538380 +v 0.114092 0.107421 1.535902 +v 0.113019 0.109738 1.534876 +v 0.112392 0.112214 1.535902 +v 0.112578 0.113397 1.538380 +v 0.131863 0.119303 1.534574 +v 0.133029 0.117037 1.535565 +v 0.133594 0.114556 1.534562 +v 0.133226 0.113315 1.532154 +v 0.132142 0.114039 1.529750 +v 0.130975 0.116305 1.528760 +v 0.130410 0.118786 1.529763 +v 0.130778 0.120027 1.532171 +v 0.149844 0.125862 1.528407 +v 0.150860 0.123559 1.529430 +v 0.151504 0.121124 1.528411 +v 0.151398 0.119984 1.525948 +v 0.150605 0.120805 1.523483 +v 0.149589 0.123108 1.522460 +v 0.148945 0.125543 1.523479 +v 0.149051 0.126684 1.525942 +v 0.170167 0.132669 1.526826 +v 0.170830 0.130266 1.527861 +v 0.171671 0.127914 1.526838 +v 0.172197 0.126990 1.524356 +v 0.172100 0.128037 1.521870 +v 0.171438 0.130440 1.520836 +v 0.170597 0.132792 1.521859 +v 0.170071 0.133715 1.524340 +v 0.189395 0.138356 1.531977 +v 0.189709 0.135866 1.532920 +v 0.190744 0.133589 1.531953 +v 0.191894 0.132859 1.529643 +v 0.192485 0.134105 1.527343 +v 0.192171 0.136595 1.526400 +v 0.191136 0.138872 1.527367 +v 0.189986 0.139602 1.529677 +v 0.205813 0.142663 1.541214 +v 0.205990 0.140152 1.542087 +v 0.207096 0.137911 1.541163 +v 0.208482 0.137253 1.538986 +v 0.209336 0.138563 1.536829 +v 0.209159 0.141074 1.535957 +v 0.208053 0.143315 1.536880 +v 0.206667 0.143973 1.539058 +v 0.224713 0.147653 1.551591 +v 0.224981 0.145184 1.552503 +v 0.226027 0.142943 1.551560 +v 0.227237 0.142244 1.549313 +v 0.227904 0.143496 1.547079 +v 0.227636 0.145966 1.546166 +v 0.226590 0.148206 1.547110 +v 0.225380 0.148905 1.549357 +v -0.038284 -0.048646 1.654135 +v -0.039988 -0.046628 1.655229 +v -0.041646 -0.044574 1.654135 +v -0.042288 -0.043685 1.651496 +v -0.041537 -0.044483 1.648857 +v -0.039833 -0.046501 1.647763 +v -0.038174 -0.048555 1.648857 +v -0.037532 -0.049444 1.651496 +v -0.055230 -0.062963 1.652710 +v -0.056978 -0.061004 1.653793 +v -0.058620 -0.058957 1.652707 +v -0.059194 -0.058021 1.650087 +v -0.058364 -0.058744 1.647469 +v -0.056616 -0.060703 1.646386 +v -0.054974 -0.062750 1.647472 +v -0.054400 -0.063686 1.650092 +v -0.072057 -0.077182 1.651290 +v -0.073718 -0.075171 1.652371 +v -0.075359 -0.073144 1.651291 +v -0.076018 -0.072288 1.648683 +v -0.075310 -0.073103 1.646076 +v -0.073649 -0.075114 1.644995 +v -0.072008 -0.077141 1.646075 +v -0.071349 -0.077997 1.648683 +v -0.091187 -0.092271 1.652224 +v -0.092745 -0.090198 1.653293 +v -0.094456 -0.088249 1.652224 +v -0.095318 -0.087566 1.649644 +v -0.094826 -0.088550 1.647063 +v -0.093269 -0.090623 1.645994 +v -0.091558 -0.092572 1.647063 +v -0.090696 -0.093254 1.649644 +v -0.109412 -0.107491 1.655683 +v -0.110878 -0.105364 1.656730 +v -0.112666 -0.103499 1.655684 +v -0.113728 -0.102988 1.653158 +v -0.113443 -0.104131 1.650632 +v -0.111977 -0.106258 1.649585 +v -0.110189 -0.108123 1.650631 +v -0.109127 -0.108634 1.653157 +v -0.125921 -0.120573 1.660958 +v -0.127035 -0.118216 1.661893 +v -0.128640 -0.116240 1.660801 +v -0.129795 -0.115803 1.658321 +v -0.129825 -0.117162 1.655908 +v -0.128711 -0.119519 1.654974 +v -0.127106 -0.121495 1.656066 +v -0.125950 -0.121931 1.658545 +v -0.146686 -0.130000 1.669042 +v -0.147140 -0.127376 1.669733 +v -0.148203 -0.125183 1.668455 +v -0.149252 -0.124706 1.665956 +v -0.149672 -0.126225 1.663699 +v -0.149218 -0.128849 1.663008 +v -0.148155 -0.131042 1.664286 +v -0.147106 -0.131519 1.666785 +v -0.169695 -0.132328 1.677023 +v -0.169456 -0.129639 1.677455 +v -0.169942 -0.127392 1.675973 +v -0.170869 -0.126905 1.673447 +v -0.171693 -0.128462 1.671356 +v -0.171932 -0.131152 1.670925 +v -0.171446 -0.133398 1.672406 +v -0.170519 -0.133885 1.674932 +v -0.189708 -0.129047 1.684955 +v -0.189111 -0.126410 1.685220 +v -0.189544 -0.124183 1.683726 +v -0.190754 -0.123670 1.681348 +v -0.192031 -0.125173 1.679479 +v -0.192627 -0.127810 1.679214 +v -0.192194 -0.130037 1.680708 +v -0.190985 -0.130549 1.683086 +v -0.208354 -0.125645 1.698227 +v -0.207728 -0.123030 1.698465 +v -0.208548 -0.120754 1.697268 +v -0.210334 -0.120151 1.695336 +v -0.212039 -0.121572 1.693801 +v -0.212665 -0.124187 1.693562 +v -0.211845 -0.126463 1.694760 +v -0.210059 -0.127067 1.696692 +v -0.222062 -0.124138 1.716235 +v -0.221403 -0.121546 1.716426 +v -0.222509 -0.119244 1.715609 +v -0.224732 -0.118580 1.714264 +v -0.226769 -0.119944 1.713178 +v -0.227428 -0.122537 1.712988 +v -0.226322 -0.124839 1.713805 +v -0.224099 -0.125502 1.715150 +v -0.230423 -0.122821 1.735733 +v -0.229737 -0.120250 1.735859 +v -0.230910 -0.117953 1.735195 +v -0.233256 -0.117275 1.734130 +v -0.235400 -0.118613 1.733288 +v -0.236086 -0.121184 1.733163 +v -0.234913 -0.123481 1.733827 +v -0.232567 -0.124159 1.734892 +v -0.240269 -0.121302 1.758042 +v -0.239609 -0.118745 1.758210 +v -0.240725 -0.116470 1.757448 +v -0.242964 -0.115809 1.756202 +v -0.245014 -0.117150 1.755201 +v -0.245674 -0.119707 1.755033 +v -0.244558 -0.121982 1.755795 +v -0.242319 -0.122642 1.757041 +v -0.145895 -0.128994 1.668810 +v -0.148242 -0.128311 1.669820 +v -0.150552 -0.127512 1.668810 +v -0.151472 -0.127064 1.666371 +v -0.150463 -0.127231 1.663931 +v -0.148116 -0.127914 1.662921 +v -0.145806 -0.128714 1.663931 +v -0.144886 -0.129161 1.666371 +v -0.150298 -0.146231 1.666995 +v -0.152680 -0.145728 1.667984 +v -0.155003 -0.145031 1.666972 +v -0.155906 -0.144548 1.664551 +v -0.154860 -0.144563 1.662140 +v -0.152478 -0.145066 1.661151 +v -0.150155 -0.145763 1.662163 +v -0.149252 -0.146246 1.664584 +v -0.154731 -0.163569 1.665171 +v -0.157024 -0.162823 1.666173 +v -0.159291 -0.161994 1.665177 +v -0.160204 -0.161568 1.662769 +v -0.159229 -0.161794 1.660357 +v -0.156935 -0.162540 1.659356 +v -0.154668 -0.163369 1.660351 +v -0.153755 -0.163795 1.662760 +v -0.162725 -0.181652 1.665440 +v -0.164753 -0.180364 1.666420 +v -0.166866 -0.179238 1.665423 +v -0.167828 -0.178933 1.663033 +v -0.167074 -0.179628 1.660650 +v -0.165047 -0.180916 1.659670 +v -0.162933 -0.182042 1.660667 +v -0.161972 -0.182347 1.663057 +v -0.174007 -0.196704 1.668635 +v -0.175668 -0.194940 1.669512 +v -0.177573 -0.193552 1.668467 +v -0.178604 -0.193355 1.666114 +v -0.178159 -0.194462 1.663830 +v -0.176498 -0.196226 1.662953 +v -0.174593 -0.197614 1.663998 +v -0.173561 -0.197812 1.666351 +v -0.186201 -0.207982 1.673429 +v -0.187681 -0.206056 1.674237 +v -0.189478 -0.204581 1.673164 +v -0.190540 -0.204422 1.670840 +v -0.190245 -0.205672 1.668626 +v -0.188765 -0.207599 1.667818 +v -0.186968 -0.209074 1.668890 +v -0.185906 -0.209233 1.671214 +v -0.199729 -0.220671 1.678702 +v -0.201319 -0.218876 1.679550 +v -0.203170 -0.217477 1.678510 +v -0.204199 -0.217293 1.676191 +v -0.203803 -0.218433 1.673952 +v -0.202213 -0.220228 1.673105 +v -0.200362 -0.221628 1.674145 +v -0.199333 -0.221811 1.676464 +v 0.078850 -0.035551 1.779180 +v 0.076380 -0.036109 1.780224 +v 0.073958 -0.036851 1.779180 +v 0.073004 -0.037342 1.776659 +v 0.074076 -0.037295 1.774139 +v 0.076546 -0.036737 1.773095 +v 0.078968 -0.035995 1.774139 +v 0.079922 -0.035504 1.776659 +v 0.083700 -0.052975 1.780171 +v 0.081263 -0.053595 1.781214 +v 0.078855 -0.054328 1.780176 +v 0.077887 -0.054743 1.777665 +v 0.078926 -0.054598 1.775153 +v 0.081363 -0.053977 1.774110 +v 0.083771 -0.053245 1.775148 +v 0.084739 -0.052830 1.777659 +v 0.088514 -0.070266 1.781151 +v 0.086068 -0.070791 1.782179 +v 0.083677 -0.071526 1.781149 +v 0.082743 -0.072040 1.778663 +v 0.083812 -0.072033 1.776178 +v 0.086258 -0.071508 1.775149 +v 0.088649 -0.070773 1.776180 +v 0.089584 -0.070259 1.778666 +v 0.093141 -0.089493 1.784214 +v 0.090636 -0.089662 1.785175 +v 0.088239 -0.090286 1.784133 +v 0.087352 -0.091000 1.781697 +v 0.088497 -0.091384 1.779296 +v 0.091001 -0.091215 1.778334 +v 0.093399 -0.090591 1.779377 +v 0.094285 -0.089878 1.781812 +v 0.094521 -0.108422 1.790089 +v 0.091995 -0.108228 1.790936 +v 0.089601 -0.108730 1.789864 +v 0.088740 -0.109633 1.787503 +v 0.089917 -0.110408 1.785234 +v 0.092443 -0.110602 1.784388 +v 0.094838 -0.110100 1.785459 +v 0.095698 -0.109197 1.787821 +v 0.094736 -0.124623 1.796918 +v 0.092266 -0.124744 1.797880 +v 0.089933 -0.125608 1.796957 +v 0.089103 -0.126710 1.794690 +v 0.090263 -0.127403 1.792406 +v 0.092733 -0.127282 1.791444 +v 0.095066 -0.126417 1.792367 +v 0.095896 -0.125316 1.794634 +v 0.101162 -0.140324 1.803130 +v 0.099114 -0.141349 1.804436 +v 0.097152 -0.143000 1.803825 +v 0.096424 -0.144310 1.801656 +v 0.097358 -0.144511 1.799198 +v 0.099406 -0.143485 1.797893 +v 0.101368 -0.141834 1.798503 +v 0.102095 -0.140524 1.800673 +v 0.114593 -0.151892 1.806668 +v 0.113312 -0.153597 1.808189 +v 0.112026 -0.155841 1.807779 +v 0.111489 -0.157311 1.805679 +v 0.112015 -0.157145 1.803119 +v 0.113296 -0.155441 1.801598 +v 0.114582 -0.153196 1.802008 +v 0.115119 -0.151726 1.804108 +v 0.130870 -0.158330 1.808058 +v 0.129972 -0.160211 1.809616 +v 0.129037 -0.162611 1.809252 +v 0.128612 -0.164125 1.807180 +v 0.128946 -0.163866 1.804612 +v 0.129844 -0.161986 1.803054 +v 0.130779 -0.159586 1.803418 +v 0.131204 -0.158071 1.805491 +v 0.149554 -0.166029 1.809775 +v 0.148407 -0.167778 1.811293 +v 0.147244 -0.170053 1.810905 +v 0.146748 -0.171523 1.808838 +v 0.147208 -0.171326 1.806302 +v 0.148356 -0.169577 1.804784 +v 0.149518 -0.167301 1.805172 +v 0.150014 -0.165832 1.807239 +v 0.150952 -0.014758 1.850615 +v 0.148454 -0.013969 1.851267 +v 0.145965 -0.014781 1.850615 +v 0.144941 -0.016719 1.849039 +v 0.145983 -0.018647 1.847463 +v 0.148480 -0.019436 1.846810 +v 0.150970 -0.018624 1.847463 +v 0.151994 -0.016686 1.849039 +v 0.150991 -0.026677 1.865207 +v 0.148510 -0.025893 1.865855 +v 0.146036 -0.026700 1.865207 +v 0.145019 -0.028625 1.863641 +v 0.146054 -0.030540 1.862076 +v 0.148535 -0.031324 1.861427 +v 0.151009 -0.030517 1.862076 +v 0.152026 -0.028592 1.863641 +v 0.151030 -0.038596 1.879799 +v 0.148565 -0.037817 1.880443 +v 0.146108 -0.038618 1.879799 +v 0.145097 -0.040531 1.878243 +v 0.146126 -0.042433 1.876688 +v 0.148590 -0.043212 1.876044 +v 0.151048 -0.042410 1.876688 +v 0.152058 -0.040498 1.878243 +v 0.151076 -0.051927 1.896124 +v 0.148627 -0.051154 1.896764 +v 0.146186 -0.051950 1.896124 +v 0.145183 -0.053849 1.894579 +v 0.146204 -0.055739 1.893034 +v 0.148652 -0.056513 1.892394 +v 0.151093 -0.055717 1.893034 +v 0.152097 -0.053817 1.894579 +v 0.101594 -0.143567 1.803421 +v 0.099133 -0.143706 1.804356 +v 0.096746 -0.143091 1.803421 +v 0.095832 -0.142080 1.801164 +v 0.096925 -0.141268 1.798907 +v 0.099386 -0.141128 1.797972 +v 0.101773 -0.141744 1.798907 +v 0.102688 -0.142754 1.801164 +v 0.099800 -0.161672 1.796021 +v 0.097355 -0.161810 1.796950 +v 0.094984 -0.161199 1.796021 +v 0.094075 -0.160195 1.793779 +v 0.095162 -0.159388 1.791537 +v 0.097607 -0.159249 1.790608 +v 0.099978 -0.159861 1.791537 +v 0.100886 -0.160864 1.793779 +v 0.098006 -0.179777 1.788620 +v 0.095577 -0.179914 1.789543 +v 0.093221 -0.179307 1.788620 +v 0.092319 -0.178310 1.786393 +v 0.093398 -0.177508 1.784166 +v 0.095827 -0.177370 1.783243 +v 0.098182 -0.177978 1.784166 +v 0.099085 -0.178974 1.786393 +v 0.096000 -0.200031 1.780344 +v 0.093587 -0.200168 1.781260 +v 0.091247 -0.199564 1.780344 +v 0.090351 -0.198574 1.778131 +v 0.091423 -0.197777 1.775918 +v 0.093836 -0.197640 1.775002 +v 0.096176 -0.198244 1.775918 +v 0.097072 -0.199234 1.778131 +v 0.027868 0.010122 1.865642 +v 0.029240 0.008353 1.866570 +v 0.030638 0.006604 1.865642 +v 0.031243 0.005900 1.863404 +v 0.030701 0.006653 1.861165 +v 0.029328 0.008422 1.860237 +v 0.027930 0.010171 1.861165 +v 0.027325 0.010875 1.863404 +v 0.040124 0.019871 1.865643 +v 0.041510 0.018130 1.866565 +v 0.042898 0.016390 1.865643 +v 0.043474 0.015670 1.863418 +v 0.042901 0.016392 1.861193 +v 0.041515 0.018133 1.860271 +v 0.040128 0.019873 1.861192 +v 0.039552 0.020593 1.863418 +v 0.052335 0.029582 1.865643 +v 0.053682 0.027828 1.866559 +v 0.055063 0.026102 1.865643 +v 0.055671 0.025414 1.863432 +v 0.055148 0.026168 1.861221 +v 0.053801 0.027922 1.860306 +v 0.052419 0.029649 1.861222 +v 0.051812 0.030337 1.863432 +v 0.066110 0.040190 1.866456 +v 0.067329 0.038357 1.867357 +v 0.068682 0.036626 1.866446 +v 0.069377 0.036011 1.864256 +v 0.069007 0.036873 1.862070 +v 0.067788 0.038707 1.861169 +v 0.066435 0.040437 1.862080 +v 0.065740 0.041052 1.864270 +v 0.079987 0.049514 1.868772 +v 0.081069 0.047603 1.869647 +v 0.082390 0.045867 1.868738 +v 0.083176 0.045322 1.866576 +v 0.082967 0.046288 1.864429 +v 0.081885 0.048198 1.863554 +v 0.080564 0.049935 1.864463 +v 0.079777 0.050479 1.866625 +v 0.092450 0.057486 1.871601 +v 0.093638 0.055667 1.872492 +v 0.095036 0.054001 1.871605 +v 0.095825 0.053465 1.869458 +v 0.095542 0.054372 1.867311 +v 0.094354 0.056192 1.866419 +v 0.092956 0.057858 1.867307 +v 0.092167 0.058394 1.869453 +v 0.105045 0.068200 1.873249 +v 0.106647 0.066779 1.874177 +v 0.108272 0.065340 1.873318 +v 0.108968 0.064726 1.871177 +v 0.108327 0.065298 1.869007 +v 0.106725 0.066719 1.868079 +v 0.105101 0.068158 1.868937 +v 0.104405 0.068771 1.871079 +v 0.114453 0.082362 1.871569 +v 0.116378 0.081415 1.872450 +v 0.118179 0.080248 1.871574 +v 0.118803 0.079543 1.869454 +v 0.117882 0.079714 1.867333 +v 0.115957 0.080661 1.866452 +v 0.114156 0.081829 1.867328 +v 0.113533 0.082533 1.869447 +v 0.121248 0.096526 1.868573 +v 0.123025 0.095371 1.869477 +v 0.124733 0.094082 1.868624 +v 0.125373 0.093415 1.866514 +v 0.124570 0.093760 1.864383 +v 0.122794 0.094915 1.863478 +v 0.121085 0.096204 1.864331 +v 0.120445 0.096871 1.866441 +v 0.132836 0.108287 1.868931 +v 0.133827 0.106406 1.869780 +v 0.135069 0.104695 1.868904 +v 0.135836 0.104156 1.866816 +v 0.135677 0.105105 1.864738 +v 0.134687 0.106985 1.863889 +v 0.133444 0.108696 1.864765 +v 0.132678 0.109235 1.866853 +v 0.147922 0.113007 1.874076 +v 0.147951 0.110798 1.874612 +v 0.148624 0.108897 1.873560 +v 0.149547 0.108419 1.871538 +v 0.150178 0.109644 1.869729 +v 0.150149 0.111853 1.869193 +v 0.149477 0.113754 1.870245 +v 0.148554 0.114232 1.872267 +v 0.161942 0.111836 1.881296 +v 0.161593 0.109632 1.881649 +v 0.162039 0.107739 1.880500 +v 0.163018 0.107266 1.878521 +v 0.163959 0.108489 1.876871 +v 0.164308 0.110693 1.876517 +v 0.163863 0.112586 1.877666 +v 0.162883 0.113059 1.879645 +v 0.177460 0.110753 1.889194 +v 0.177363 0.108562 1.889667 +v 0.177953 0.106680 1.888596 +v 0.178884 0.106210 1.886610 +v 0.179612 0.107427 1.884870 +v 0.179709 0.109619 1.884398 +v 0.179119 0.111501 1.885468 +v 0.178187 0.111971 1.887455 +v 0.058916 -0.008879 1.893800 +v 0.056895 -0.009171 1.894618 +v 0.054970 -0.009849 1.893800 +v 0.054267 -0.010516 1.891826 +v 0.055199 -0.010782 1.889852 +v 0.057219 -0.010490 1.889034 +v 0.059145 -0.009812 1.889852 +v 0.059848 -0.009145 1.891826 +v 0.062668 -0.022517 1.896892 +v 0.060678 -0.022878 1.897721 +v 0.058774 -0.023587 1.896917 +v 0.058070 -0.024229 1.894950 +v 0.058979 -0.024428 1.892973 +v 0.060969 -0.024068 1.892143 +v 0.062873 -0.023359 1.892947 +v 0.063577 -0.022717 1.894914 +v 0.066426 -0.036180 1.899988 +v 0.064424 -0.036440 1.900789 +v 0.062520 -0.037095 1.899978 +v 0.061828 -0.037762 1.898030 +v 0.062754 -0.038050 1.896088 +v 0.064756 -0.037790 1.895287 +v 0.066661 -0.037135 1.896098 +v 0.067353 -0.036468 1.898046 +v 0.069337 -0.051471 1.904432 +v 0.067296 -0.051418 1.905132 +v 0.065377 -0.051906 1.904276 +v 0.064702 -0.052649 1.902365 +v 0.065668 -0.053211 1.900519 +v 0.067709 -0.053263 1.899819 +v 0.069628 -0.052775 1.900675 +v 0.070303 -0.052033 1.902586 +v 0.069304 -0.066043 1.910528 +v 0.067270 -0.065678 1.911096 +v 0.065359 -0.065997 1.910178 +v 0.064690 -0.066813 1.908312 +v 0.065657 -0.067649 1.906591 +v 0.067691 -0.068015 1.906022 +v 0.069602 -0.067696 1.906940 +v 0.070271 -0.066879 1.908806 +v 0.067967 -0.078681 1.916764 +v 0.065943 -0.078460 1.917392 +v 0.064043 -0.078874 1.916523 +v 0.063379 -0.079681 1.914667 +v 0.064340 -0.080407 1.912910 +v 0.066364 -0.080627 1.912282 +v 0.068264 -0.080213 1.913151 +v 0.068928 -0.079407 1.915008 +v 0.069999 -0.092790 1.921840 +v 0.068090 -0.093169 1.922671 +v 0.066264 -0.093942 1.921933 +v 0.065589 -0.094655 1.920058 +v 0.066462 -0.094891 1.918145 +v 0.068371 -0.094512 1.917314 +v 0.070198 -0.093739 1.918052 +v 0.070872 -0.093026 1.919927 +v 0.076630 -0.106251 1.924095 +v 0.074998 -0.107195 1.925026 +v 0.073344 -0.108306 1.924356 +v 0.072635 -0.108931 1.922478 +v 0.073288 -0.108706 1.920492 +v 0.074919 -0.107761 1.919562 +v 0.076574 -0.106651 1.920232 +v 0.077283 -0.106025 1.922110 +v 0.085337 -0.117281 1.924197 +v 0.083861 -0.118425 1.925133 +v 0.082305 -0.119654 1.924474 +v 0.081582 -0.120247 1.922607 +v 0.082114 -0.119858 1.920625 +v 0.083589 -0.118714 1.919690 +v 0.085145 -0.117486 1.920348 +v 0.085868 -0.116892 1.922215 +v 0.095086 -0.129845 1.924405 +v 0.093518 -0.130841 1.925328 +v 0.091911 -0.131976 1.924671 +v 0.091206 -0.132585 1.922817 +v 0.091816 -0.132311 1.920853 +v 0.093384 -0.131314 1.919929 +v 0.094991 -0.130179 1.920587 +v 0.095696 -0.129570 1.922441 +v 0.132212 0.107186 1.868937 +v 0.134249 0.106663 1.869808 +v 0.136290 0.106160 1.868937 +v 0.137141 0.105970 1.866835 +v 0.136302 0.106205 1.864732 +v 0.134265 0.106728 1.863861 +v 0.132223 0.107232 1.864732 +v 0.131373 0.107422 1.866835 +v 0.136697 0.124950 1.869129 +v 0.138721 0.124430 1.869994 +v 0.140749 0.123930 1.869129 +v 0.141594 0.123741 1.867040 +v 0.140760 0.123975 1.864951 +v 0.138737 0.124494 1.864085 +v 0.136708 0.124995 1.864951 +v 0.135864 0.125183 1.867040 +v 0.141182 0.142713 1.869320 +v 0.143193 0.142197 1.870180 +v 0.145208 0.141700 1.869320 +v 0.146047 0.141512 1.867245 +v 0.145219 0.141745 1.865169 +v 0.143209 0.142261 1.864310 +v 0.141194 0.142758 1.865169 +v 0.140354 0.142945 1.867245 +v 0.146198 0.162585 1.869535 +v 0.148195 0.162072 1.870389 +v 0.150197 0.161578 1.869535 +v 0.151031 0.161392 1.867474 +v 0.150208 0.161623 1.865412 +v 0.148211 0.162135 1.864558 +v 0.146210 0.162629 1.865412 +v 0.145376 0.162816 1.867474 +v -0.112338 -0.003968 2.019319 +v -0.110287 -0.003887 2.019822 +v -0.108674 -0.002620 2.019319 +v -0.108443 -0.000907 2.018103 +v -0.109729 0.000247 2.016887 +v -0.111779 0.000166 2.016384 +v -0.113393 -0.001101 2.016887 +v -0.113624 -0.002814 2.018103 +v -0.115834 0.004636 2.029836 +v -0.113816 0.004767 2.030401 +v -0.112214 0.006029 2.029905 +v -0.111966 0.007684 2.028636 +v -0.113217 0.008762 2.027340 +v -0.115235 0.008631 2.026775 +v -0.116837 0.007368 2.027272 +v -0.117085 0.005714 2.028540 +v -0.119302 0.013165 2.040257 +v -0.117270 0.013225 2.040727 +v -0.115677 0.014475 2.040228 +v -0.115455 0.016185 2.039053 +v -0.116734 0.017351 2.037889 +v -0.118766 0.017291 2.037419 +v -0.120359 0.016041 2.037918 +v -0.120581 0.014332 2.039093 +v -0.121599 0.021279 2.053014 +v -0.119537 0.021150 2.053173 +v -0.117946 0.022360 2.052624 +v -0.117758 0.024200 2.051688 +v -0.119085 0.025593 2.050914 +v -0.121147 0.025722 2.050755 +v -0.122738 0.024512 2.051304 +v -0.122926 0.022672 2.052240 +v -0.120522 0.026859 2.066806 +v -0.118489 0.026586 2.066621 +v -0.116911 0.027761 2.066011 +v -0.116713 0.029696 2.065335 +v -0.118010 0.031258 2.064988 +v -0.120043 0.031531 2.065174 +v -0.121621 0.030356 2.065783 +v -0.121819 0.028421 2.066460 +v -0.117986 0.030350 2.079748 +v -0.115953 0.030123 2.079700 +v -0.114373 0.031334 2.079226 +v -0.114171 0.033273 2.078605 +v -0.115466 0.034805 2.078200 +v -0.117499 0.035032 2.078248 +v -0.119079 0.033821 2.078722 +v -0.119281 0.031882 2.079343 +v -0.119043 0.035296 2.093442 +v -0.117089 0.035299 2.094003 +v -0.115554 0.036624 2.093857 +v -0.115337 0.038494 2.093090 +v -0.116566 0.039814 2.092152 +v -0.118520 0.039811 2.091591 +v -0.120055 0.038486 2.091737 +v -0.120272 0.036616 2.092503 +v -0.125258 0.041605 2.105061 +v -0.123577 0.041882 2.106146 +v -0.122192 0.043346 2.106285 +v -0.121915 0.045139 2.105397 +v -0.122907 0.046211 2.104003 +v -0.124589 0.045934 2.102919 +v -0.125974 0.044471 2.102780 +v -0.126251 0.042678 2.103667 +v -0.133900 0.047585 2.113611 +v -0.132379 0.047973 2.114862 +v -0.131089 0.049490 2.115099 +v -0.130784 0.051250 2.114184 +v -0.131644 0.052220 2.112652 +v -0.133164 0.051833 2.111402 +v -0.134455 0.050315 2.111165 +v -0.134760 0.048555 2.112080 +v -0.143545 0.054341 2.123383 +v -0.141930 0.054649 2.124509 +v -0.140588 0.056113 2.124678 +v -0.140306 0.057875 2.123792 +v -0.141248 0.058904 2.122369 +v -0.142864 0.058596 2.121243 +v -0.144206 0.057132 2.121073 +v -0.144488 0.055370 2.121960 +v -0.153039 -0.030742 2.044156 +v -0.154182 -0.028916 2.045036 +v -0.155086 -0.026960 2.044156 +v -0.155220 -0.026020 2.042031 +v -0.154507 -0.026647 2.039906 +v -0.153364 -0.028473 2.039026 +v -0.152461 -0.030429 2.039906 +v -0.152326 -0.031368 2.042031 +v -0.166451 -0.038307 2.041163 +v -0.167649 -0.036527 2.042025 +v -0.168551 -0.034586 2.041150 +v -0.168629 -0.033622 2.039050 +v -0.167838 -0.034199 2.036955 +v -0.166640 -0.035979 2.036093 +v -0.165738 -0.037919 2.036968 +v -0.165659 -0.038884 2.039068 +v -0.179776 -0.045824 2.038187 +v -0.180879 -0.044008 2.039060 +v -0.181770 -0.042077 2.038191 +v -0.181925 -0.041161 2.036090 +v -0.181255 -0.041798 2.033987 +v -0.180151 -0.043614 2.033114 +v -0.179261 -0.045545 2.033983 +v -0.179106 -0.046461 2.036084 +v -0.195146 -0.053490 2.036698 +v -0.196033 -0.051583 2.037583 +v -0.196902 -0.049656 2.036722 +v -0.197244 -0.048839 2.034618 +v -0.196858 -0.049610 2.032505 +v -0.195970 -0.051517 2.031620 +v -0.195101 -0.053444 2.032481 +v -0.194760 -0.054261 2.034585 +v -0.210466 -0.059875 2.037635 +v -0.211131 -0.057889 2.038502 +v -0.211978 -0.055968 2.037646 +v -0.212512 -0.055238 2.035566 +v -0.212419 -0.056127 2.033482 +v -0.211754 -0.058113 2.032614 +v -0.210907 -0.060034 2.033471 +v -0.210373 -0.060764 2.035551 +v -0.224376 -0.064828 2.040108 +v -0.224946 -0.062821 2.040956 +v -0.225781 -0.060910 2.040104 +v -0.226392 -0.060216 2.038051 +v -0.226422 -0.061144 2.035999 +v -0.225852 -0.063151 2.035150 +v -0.225017 -0.065062 2.036002 +v -0.224406 -0.065756 2.038056 +v -0.240092 -0.070464 2.042830 +v -0.240721 -0.068494 2.043683 +v -0.241555 -0.066597 2.042838 +v -0.242106 -0.065886 2.040788 +v -0.242050 -0.066777 2.038737 +v -0.241420 -0.068748 2.037884 +v -0.240586 -0.070644 2.038729 +v -0.240036 -0.071355 2.040778 +v -0.119523 0.038068 2.094551 +v -0.117964 0.037215 2.095277 +v -0.116312 0.036561 2.094551 +v -0.115533 0.036489 2.092797 +v -0.116086 0.037042 2.091043 +v -0.117645 0.037895 2.090317 +v -0.119297 0.038550 2.091043 +v -0.120075 0.038621 2.092797 +v -0.112200 0.053638 2.097147 +v -0.110652 0.052790 2.097868 +v -0.109010 0.052140 2.097147 +v -0.108237 0.052069 2.095404 +v -0.108785 0.052619 2.093662 +v -0.110334 0.053467 2.092940 +v -0.111976 0.054116 2.093662 +v -0.112749 0.054188 2.095404 +v -0.104878 0.069208 2.099742 +v -0.103339 0.068366 2.100459 +v -0.101708 0.067720 2.099742 +v -0.100940 0.067650 2.098011 +v -0.101485 0.068195 2.096281 +v -0.103024 0.069038 2.095564 +v -0.104655 0.069683 2.096281 +v -0.105422 0.069754 2.098011 +v -0.096687 0.086627 2.102648 +v -0.095159 0.085790 2.103360 +v -0.093539 0.085148 2.102648 +v -0.092776 0.085078 2.100928 +v -0.093317 0.085620 2.099209 +v -0.094845 0.086457 2.098497 +v -0.096466 0.087098 2.099209 +v -0.097228 0.087169 2.100928 +v 0.016934 -0.001676 2.112372 +v 0.017367 -0.004406 2.113101 +v 0.019264 -0.006415 2.112372 +v 0.021513 -0.006528 2.110612 +v 0.022797 -0.004678 2.108853 +v 0.022364 -0.001948 2.108124 +v 0.020467 0.000061 2.108853 +v 0.018218 0.000174 2.110612 +v 0.029087 0.004596 2.126421 +v 0.029568 0.001909 2.127207 +v 0.031449 -0.000091 2.126477 +v 0.033627 -0.000231 2.124660 +v 0.034827 0.001569 2.122819 +v 0.034346 0.004256 2.122034 +v 0.032465 0.006255 2.122764 +v 0.030287 0.006396 2.124581 +v 0.041136 0.010816 2.140345 +v 0.041545 0.008110 2.141040 +v 0.043420 0.006127 2.140322 +v 0.045664 0.006026 2.138613 +v 0.046962 0.007868 2.136912 +v 0.046553 0.010573 2.136218 +v 0.044678 0.012557 2.136935 +v 0.042434 0.012657 2.138645 +v 0.053091 0.016061 2.157319 +v 0.053305 0.013294 2.157724 +v 0.055173 0.011324 2.157018 +v 0.057601 0.011306 2.155614 +v 0.059168 0.013250 2.154336 +v 0.058954 0.016018 2.153931 +v 0.057086 0.017987 2.154637 +v 0.054658 0.018005 2.156041 +v 0.061944 0.017679 2.176079 +v 0.061996 0.014893 2.176156 +v 0.063856 0.012936 2.175460 +v 0.066433 0.012955 2.174398 +v 0.068218 0.014938 2.173593 +v 0.068166 0.017724 2.173515 +v 0.066306 0.019681 2.174211 +v 0.063729 0.019662 2.175273 +v 0.068363 0.017425 2.194089 +v 0.068468 0.014665 2.194291 +v 0.070338 0.012724 2.193653 +v 0.072879 0.012740 2.192550 +v 0.074601 0.014703 2.191628 +v 0.074497 0.017463 2.191426 +v 0.072626 0.019404 2.192063 +v 0.070086 0.019388 2.193166 +v 0.077881 0.021099 2.212396 +v 0.078296 0.018491 2.213170 +v 0.080218 0.016590 2.212653 +v 0.082520 0.016510 2.211147 +v 0.083854 0.018297 2.209534 +v 0.083439 0.020905 2.208760 +v 0.081517 0.022806 2.209277 +v 0.079215 0.022887 2.210783 +v 0.090116 0.030510 2.226559 +v 0.090910 0.028202 2.227792 +v 0.092898 0.026372 2.227374 +v 0.094916 0.026092 2.225550 +v 0.095781 0.027525 2.223389 +v 0.094987 0.029833 2.222155 +v 0.092999 0.031663 2.222573 +v 0.090981 0.031944 2.224397 +v 0.102157 0.041926 2.236177 +v 0.103025 0.039702 2.237474 +v 0.104991 0.037876 2.237050 +v 0.106903 0.037516 2.235154 +v 0.107641 0.038834 2.232896 +v 0.106773 0.041058 2.231599 +v 0.104808 0.042885 2.232023 +v 0.102896 0.043245 2.233919 +v 0.115746 0.052940 2.248128 +v 0.116374 0.050545 2.249203 +v 0.118216 0.048643 2.248682 +v 0.120195 0.048348 2.246869 +v 0.121150 0.049833 2.244828 +v 0.120522 0.052228 2.243752 +v 0.118679 0.054130 2.244274 +v 0.116701 0.054425 2.246086 +v 0.129032 0.060734 2.262379 +v 0.129428 0.058215 2.263209 +v 0.131150 0.056259 2.262578 +v 0.133189 0.056011 2.260855 +v 0.134351 0.057617 2.259049 +v 0.133956 0.060136 2.258218 +v 0.132234 0.062092 2.258850 +v 0.130194 0.062340 2.260573 +v 0.140880 0.066130 2.275875 +v 0.141199 0.063591 2.276617 +v 0.142869 0.061628 2.275944 +v 0.144911 0.061390 2.274250 +v 0.146129 0.063016 2.272527 +v 0.145809 0.065554 2.271785 +v 0.144139 0.067518 2.272458 +v 0.142097 0.067756 2.274152 +v 0.154156 0.072246 2.290967 +v 0.154525 0.069749 2.291763 +v 0.156212 0.067813 2.291126 +v 0.158229 0.067571 2.289431 +v 0.159395 0.069165 2.287669 +v 0.159026 0.071661 2.286874 +v 0.157338 0.073598 2.287510 +v 0.155321 0.073840 2.289206 +v -0.031277 0.037606 2.381355 +v -0.026687 0.037694 2.381995 +v -0.023348 0.040846 2.381355 +v -0.023217 0.045214 2.379811 +v -0.026370 0.048242 2.378267 +v -0.030960 0.048154 2.377628 +v -0.034299 0.045002 2.378267 +v -0.034430 0.040634 2.379811 +v -0.033246 0.042499 2.394923 +v -0.028686 0.042587 2.395558 +v -0.025369 0.045717 2.394923 +v -0.025238 0.050058 2.393389 +v -0.028370 0.053065 2.391855 +v -0.032931 0.052978 2.391220 +v -0.036248 0.049847 2.391855 +v -0.036378 0.045507 2.393389 +v -0.035215 0.047392 2.408490 +v -0.030684 0.047479 2.409121 +v -0.027389 0.050589 2.408490 +v -0.027259 0.054901 2.406966 +v -0.030371 0.057888 2.405442 +v -0.034901 0.057802 2.404811 +v -0.038197 0.054691 2.405442 +v -0.038326 0.050380 2.406966 +v -0.037419 0.052861 2.423669 +v -0.032918 0.052948 2.424296 +v -0.029645 0.056037 2.423669 +v -0.029516 0.060320 2.422155 +v -0.032607 0.063288 2.420641 +v -0.037108 0.063202 2.420014 +v -0.040381 0.060112 2.420641 +v -0.040510 0.055829 2.422155 +v 0.221621 0.158231 0.757813 +v 0.221861 0.155726 0.758631 +v 0.223230 0.153614 0.757813 +v 0.224926 0.153132 0.755839 +v 0.225955 0.154563 0.753865 +v 0.225714 0.157068 0.753048 +v 0.224346 0.159180 0.753865 +v 0.222650 0.159662 0.755839 +v 0.224710 0.159028 0.759810 +v 0.224924 0.156793 0.760539 +v 0.226146 0.154909 0.759810 +v 0.227658 0.154479 0.758049 +v 0.228576 0.155756 0.756288 +v 0.228362 0.157991 0.755559 +v 0.227141 0.159875 0.756288 +v 0.225628 0.160305 0.758049 +v 0.227799 0.159825 0.761807 +v 0.227988 0.157860 0.762448 +v 0.229061 0.156204 0.761807 +v 0.230391 0.155827 0.760259 +v 0.231198 0.156949 0.758711 +v 0.231009 0.158913 0.758070 +v 0.229936 0.160570 0.758711 +v 0.228606 0.160947 0.760259 +v 0.231269 0.160754 0.764097 +v 0.231415 0.159054 0.764638 +v 0.232310 0.157616 0.764061 +v 0.233429 0.157281 0.762706 +v 0.234116 0.158246 0.761365 +v 0.233970 0.159945 0.760824 +v 0.233075 0.161384 0.761400 +v 0.231956 0.161719 0.762756 +v 0.234743 0.161525 0.766212 +v 0.234850 0.160091 0.766655 +v 0.235573 0.158873 0.766148 +v 0.236487 0.158583 0.764989 +v 0.237057 0.159392 0.763857 +v 0.236950 0.160825 0.763414 +v 0.236228 0.162044 0.763920 +v 0.235313 0.162333 0.765079 +v 0.237746 0.162134 0.767964 +v 0.237867 0.160984 0.768349 +v 0.238516 0.160018 0.767987 +v 0.239313 0.159802 0.767091 +v 0.239792 0.160463 0.766186 +v 0.239671 0.161613 0.765802 +v 0.239022 0.162579 0.766163 +v 0.238225 0.162795 0.767059 +v 0.240674 0.163176 0.770176 +v 0.240821 0.162321 0.770520 +v 0.241423 0.161631 0.770338 +v 0.242126 0.161510 0.769738 +v 0.242520 0.162029 0.769070 +v 0.242373 0.162884 0.768725 +v 0.241772 0.163574 0.768907 +v 0.241068 0.163695 0.769507 +v 0.243157 0.164678 0.772733 +v 0.243290 0.164108 0.773010 +v 0.243767 0.163673 0.772957 +v 0.244309 0.163629 0.772605 +v 0.244598 0.164000 0.772160 +v 0.244465 0.164570 0.771883 +v 0.243988 0.165005 0.771936 +v 0.243446 0.165049 0.772288 +v 0.245074 0.166341 0.775257 +v 0.245155 0.166028 0.775421 +v 0.245433 0.165798 0.775409 +v 0.245747 0.165783 0.775228 +v 0.245911 0.165994 0.774984 +v 0.245831 0.166307 0.774820 +v 0.245552 0.166538 0.774832 +v 0.245239 0.166552 0.775012 +v 0.247240 0.168249 0.778150 +v 0.247256 0.168182 0.778183 +v 0.247313 0.168131 0.778178 +v 0.247378 0.168126 0.778137 +v 0.247412 0.168170 0.778085 +v 0.247396 0.168237 0.778052 +v 0.247339 0.168288 0.778057 +v 0.247274 0.168293 0.778098 +v 0.232474 0.012768 0.683161 +v 0.232231 0.010892 0.683913 +v 0.231594 0.009111 0.683161 +v 0.230936 0.008468 0.681345 +v 0.230644 0.009340 0.679528 +v 0.230887 0.011216 0.678776 +v 0.231524 0.012997 0.679528 +v 0.232181 0.013640 0.681345 +v 0.235306 0.011880 0.682156 +v 0.235089 0.010204 0.682828 +v 0.234520 0.008614 0.682156 +v 0.233933 0.008039 0.680534 +v 0.233671 0.008818 0.678912 +v 0.233889 0.010493 0.678240 +v 0.234458 0.012084 0.678912 +v 0.235044 0.012658 0.680534 +v 0.238138 0.010991 0.681151 +v 0.237947 0.009517 0.681743 +v 0.237446 0.008116 0.681151 +v 0.236929 0.007611 0.679723 +v 0.236699 0.008296 0.678296 +v 0.236890 0.009771 0.677704 +v 0.237391 0.011171 0.678296 +v 0.237908 0.011677 0.679723 +v 0.241318 0.010019 0.680050 +v 0.241152 0.008745 0.680561 +v 0.240720 0.007535 0.680050 +v 0.240273 0.007098 0.678817 +v 0.240075 0.007691 0.677583 +v 0.240240 0.008965 0.677072 +v 0.240672 0.010175 0.677583 +v 0.241119 0.010611 0.678817 +v 0.244381 0.009075 0.678981 +v 0.244242 0.008002 0.679412 +v 0.243878 0.006982 0.678981 +v 0.243502 0.006614 0.677942 +v 0.243334 0.007113 0.676903 +v 0.243473 0.008187 0.676472 +v 0.243838 0.009206 0.676903 +v 0.244214 0.009574 0.677942 +v 0.247098 0.008215 0.678009 +v 0.246984 0.007342 0.678359 +v 0.246688 0.006513 0.678009 +v 0.246382 0.006213 0.677163 +v 0.246246 0.006619 0.676318 +v 0.246359 0.007492 0.675968 +v 0.246655 0.008321 0.676318 +v 0.246961 0.008620 0.677163 +v 0.250161 0.007270 0.676940 +v 0.250074 0.006598 0.677209 +v 0.249846 0.005960 0.676940 +v 0.249610 0.005729 0.676289 +v 0.249505 0.006042 0.675638 +v 0.249593 0.006714 0.675368 +v 0.249821 0.007352 0.675638 +v 0.250056 0.007583 0.676289 +v 0.253225 0.006326 0.675871 +v 0.253164 0.005854 0.676060 +v 0.253004 0.005407 0.675871 +v 0.252839 0.005245 0.675414 +v 0.252765 0.005464 0.674957 +v 0.252826 0.005936 0.674768 +v 0.252986 0.006384 0.674957 +v 0.253152 0.006545 0.675414 +v 0.255941 0.005466 0.674898 +v 0.255906 0.005195 0.675007 +v 0.255814 0.004937 0.674898 +v 0.255719 0.004844 0.674635 +v 0.255677 0.004970 0.674373 +v 0.255712 0.005241 0.674264 +v 0.255804 0.005499 0.674373 +v 0.255899 0.005592 0.674635 +v 0.259005 0.004521 0.673829 +v 0.258996 0.004451 0.673857 +v 0.258972 0.004384 0.673829 +v 0.258947 0.004360 0.673761 +v 0.258936 0.004393 0.673692 +v 0.258945 0.004463 0.673664 +v 0.258969 0.004530 0.673692 +v 0.258994 0.004554 0.673761 +v 0.123102 0.189139 0.669603 +v 0.125207 0.189291 0.670437 +v 0.127291 0.188958 0.669603 +v 0.128134 0.188335 0.667590 +v 0.127241 0.187787 0.665577 +v 0.125135 0.187635 0.664743 +v 0.123051 0.187968 0.665577 +v 0.122209 0.188591 0.667590 +v 0.123609 0.192270 0.668391 +v 0.125484 0.192340 0.669155 +v 0.127338 0.191950 0.668439 +v 0.128086 0.191330 0.666661 +v 0.127289 0.190842 0.664864 +v 0.125414 0.190773 0.664100 +v 0.123560 0.191162 0.664816 +v 0.122812 0.191783 0.666594 +v 0.124100 0.195141 0.667257 +v 0.125754 0.195284 0.667905 +v 0.127392 0.195055 0.667241 +v 0.128054 0.194589 0.665653 +v 0.127353 0.194159 0.664072 +v 0.125699 0.194016 0.663424 +v 0.124062 0.194244 0.664089 +v 0.123399 0.194710 0.665676 +v 0.124199 0.198280 0.666218 +v 0.125618 0.198572 0.666735 +v 0.127020 0.198609 0.666103 +v 0.127584 0.198371 0.664691 +v 0.126979 0.197996 0.663327 +v 0.125559 0.197705 0.662810 +v 0.124157 0.197667 0.663442 +v 0.123594 0.197906 0.664854 +v 0.123759 0.201366 0.665424 +v 0.124924 0.201754 0.665833 +v 0.126064 0.201985 0.665264 +v 0.126510 0.201924 0.664050 +v 0.126001 0.201607 0.662902 +v 0.124836 0.201218 0.662493 +v 0.123696 0.200987 0.663063 +v 0.123250 0.201048 0.664277 +v 0.122973 0.204239 0.664837 +v 0.123905 0.204601 0.665162 +v 0.124809 0.204856 0.664691 +v 0.125157 0.204852 0.663699 +v 0.124744 0.204594 0.662767 +v 0.123812 0.204231 0.662442 +v 0.122908 0.203977 0.662913 +v 0.122560 0.203980 0.663905 +v 0.122041 0.207597 0.664180 +v 0.122761 0.207862 0.664432 +v 0.123462 0.208038 0.664072 +v 0.123733 0.208023 0.663312 +v 0.123416 0.207824 0.662596 +v 0.122696 0.207559 0.662345 +v 0.121995 0.207383 0.662704 +v 0.121723 0.207398 0.663465 +v 0.121254 0.210958 0.663460 +v 0.121759 0.211134 0.663637 +v 0.122252 0.211246 0.663388 +v 0.122445 0.211226 0.662858 +v 0.122223 0.211088 0.662358 +v 0.121718 0.210911 0.662182 +v 0.121224 0.210800 0.662431 +v 0.121032 0.210819 0.662961 +v 0.120582 0.213934 0.662796 +v 0.120869 0.214034 0.662897 +v 0.121149 0.214097 0.662755 +v 0.121258 0.214086 0.662454 +v 0.121133 0.214008 0.662170 +v 0.120846 0.213907 0.662070 +v 0.120566 0.213844 0.662212 +v 0.120456 0.213855 0.662512 +v 0.119802 0.217274 0.662079 +v 0.119870 0.217298 0.662103 +v 0.119937 0.217313 0.662069 +v 0.119963 0.217311 0.661997 +v 0.119933 0.217292 0.661929 +v 0.119865 0.217268 0.661905 +v 0.119798 0.217253 0.661939 +v 0.119772 0.217255 0.662011 +v -0.126915 0.216406 0.697430 +v -0.125232 0.218183 0.698438 +v -0.123692 0.220084 0.697430 +v -0.123197 0.220996 0.694996 +v -0.124036 0.220385 0.692562 +v -0.125719 0.218609 0.691554 +v -0.127259 0.216708 0.692562 +v -0.127754 0.215795 0.694996 +v -0.129546 0.219063 0.697516 +v -0.128045 0.220647 0.698415 +v -0.126671 0.222343 0.697516 +v -0.126229 0.223157 0.695344 +v -0.126978 0.222612 0.693173 +v -0.128479 0.221028 0.692274 +v -0.129853 0.219332 0.693173 +v -0.130295 0.218518 0.695344 +v -0.132177 0.221719 0.697601 +v -0.130858 0.223112 0.698392 +v -0.129650 0.224603 0.697601 +v -0.129262 0.225319 0.695693 +v -0.129920 0.224840 0.693784 +v -0.131239 0.223447 0.692993 +v -0.132447 0.221956 0.693784 +v -0.132836 0.221240 0.695693 +v -0.135139 0.224666 0.697729 +v -0.134001 0.225867 0.698410 +v -0.132960 0.227153 0.697729 +v -0.132625 0.227770 0.696082 +v -0.133193 0.227357 0.694436 +v -0.134330 0.226155 0.693754 +v -0.135372 0.224869 0.694436 +v -0.135707 0.224252 0.696082 +v -0.137991 0.227515 0.697842 +v -0.137035 0.228525 0.698415 +v -0.136159 0.229605 0.697842 +v -0.135878 0.230124 0.696458 +v -0.136355 0.229777 0.695075 +v -0.137311 0.228767 0.694502 +v -0.138187 0.227687 0.695075 +v -0.138468 0.227168 0.696458 +v -0.140512 0.230075 0.697914 +v -0.139737 0.230893 0.698378 +v -0.139028 0.231769 0.697914 +v -0.138800 0.232189 0.696793 +v -0.139186 0.231907 0.695672 +v -0.139961 0.231089 0.695208 +v -0.140670 0.230214 0.695672 +v -0.140899 0.229794 0.696793 +v -0.143364 0.232925 0.698027 +v -0.142770 0.233551 0.698382 +v -0.142227 0.234221 0.698027 +v -0.142053 0.234543 0.697169 +v -0.142349 0.234328 0.696310 +v -0.142942 0.233701 0.695955 +v -0.143485 0.233031 0.696310 +v -0.143660 0.232709 0.697169 +v -0.146215 0.235774 0.698140 +v -0.145804 0.236209 0.698387 +v -0.145427 0.236674 0.698140 +v -0.145306 0.236898 0.697545 +v -0.145511 0.236748 0.696949 +v -0.145923 0.236313 0.696702 +v -0.146300 0.235848 0.696949 +v -0.146421 0.235625 0.697545 +v -0.148736 0.238334 0.698212 +v -0.148506 0.238577 0.698350 +v -0.148296 0.238837 0.698212 +v -0.148228 0.238962 0.697879 +v -0.148343 0.238879 0.697546 +v -0.148573 0.238636 0.697408 +v -0.148784 0.238376 0.697546 +v -0.148851 0.238251 0.697879 +v -0.151588 0.241184 0.698325 +v -0.151540 0.241235 0.698354 +v -0.151495 0.241290 0.698325 +v -0.151481 0.241317 0.698255 +v -0.151505 0.241299 0.698185 +v -0.151554 0.241248 0.698155 +v -0.151598 0.241193 0.698185 +v -0.151613 0.241166 0.698255 +v 0.050147 0.209295 0.698244 +v 0.052036 0.209198 0.699019 +v 0.053903 0.208891 0.698244 +v 0.054654 0.208555 0.696373 +v 0.053848 0.208386 0.694501 +v 0.051959 0.208483 0.693726 +v 0.050092 0.208789 0.694501 +v 0.049342 0.209126 0.696373 +v 0.050703 0.212583 0.697588 +v 0.052390 0.212497 0.698281 +v 0.054058 0.212223 0.697588 +v 0.054728 0.211922 0.695917 +v 0.054009 0.211771 0.694245 +v 0.052322 0.211858 0.693553 +v 0.050655 0.212132 0.694245 +v 0.049984 0.212432 0.695917 +v 0.051260 0.215872 0.696932 +v 0.052745 0.215795 0.697542 +v 0.054212 0.215554 0.696932 +v 0.054803 0.215290 0.695461 +v 0.054170 0.215157 0.693989 +v 0.052685 0.215233 0.693380 +v 0.051217 0.215474 0.693989 +v 0.050627 0.215739 0.695461 +v 0.051859 0.219556 0.696222 +v 0.053142 0.219490 0.696749 +v 0.054410 0.219282 0.696222 +v 0.054920 0.219054 0.694951 +v 0.054373 0.218939 0.693680 +v 0.053090 0.219005 0.693153 +v 0.051822 0.219213 0.693680 +v 0.051312 0.219441 0.694951 +v 0.052444 0.223109 0.695530 +v 0.053525 0.223053 0.695974 +v 0.054593 0.222878 0.695530 +v 0.055023 0.222685 0.694459 +v 0.054562 0.222589 0.693388 +v 0.053481 0.222644 0.692944 +v 0.052413 0.222820 0.693388 +v 0.051983 0.223012 0.694459 +v 0.052986 0.226265 0.694892 +v 0.053865 0.226220 0.695253 +v 0.054734 0.226077 0.694892 +v 0.055083 0.225921 0.694021 +v 0.054708 0.225842 0.693150 +v 0.053829 0.225887 0.692790 +v 0.052961 0.226030 0.693150 +v 0.052612 0.226187 0.694021 +v 0.053571 0.229818 0.694200 +v 0.054248 0.229783 0.694478 +v 0.054917 0.229673 0.694200 +v 0.055186 0.229553 0.693529 +v 0.054897 0.229492 0.692859 +v 0.054221 0.229527 0.692581 +v 0.053552 0.229637 0.692859 +v 0.053283 0.229757 0.693529 +v 0.054156 0.233370 0.693508 +v 0.054631 0.233346 0.693703 +v 0.055100 0.233269 0.693508 +v 0.055289 0.233184 0.693037 +v 0.055086 0.233142 0.692567 +v 0.054612 0.233166 0.692372 +v 0.054142 0.233243 0.692567 +v 0.053954 0.233328 0.693037 +v 0.054698 0.236527 0.692870 +v 0.054971 0.236513 0.692982 +v 0.055241 0.236468 0.692870 +v 0.055349 0.236420 0.692600 +v 0.055233 0.236395 0.692329 +v 0.054960 0.236409 0.692217 +v 0.054691 0.236454 0.692329 +v 0.054582 0.236502 0.692600 +v 0.055283 0.240079 0.692178 +v 0.055354 0.240076 0.692207 +v 0.055424 0.240064 0.692178 +v 0.055452 0.240051 0.692108 +v 0.055422 0.240045 0.692038 +v 0.055351 0.240049 0.692009 +v 0.055281 0.240060 0.692038 +v 0.055253 0.240073 0.692108 +v 0.154642 0.153904 0.761855 +v 0.154484 0.151965 0.762482 +v 0.155249 0.150175 0.761855 +v 0.156489 0.149584 0.760340 +v 0.157477 0.150538 0.758826 +v 0.157635 0.152477 0.758198 +v 0.156870 0.154267 0.758826 +v 0.155631 0.154858 0.760340 +v 0.156221 0.153956 0.762770 +v 0.156080 0.152224 0.763331 +v 0.156763 0.150626 0.762770 +v 0.157870 0.150098 0.761418 +v 0.158752 0.150950 0.760065 +v 0.158894 0.152682 0.759505 +v 0.158211 0.154280 0.760065 +v 0.157104 0.154808 0.761418 +v 0.157800 0.154008 0.763686 +v 0.157675 0.152484 0.764179 +v 0.158276 0.151077 0.763686 +v 0.159251 0.150613 0.762495 +v 0.160028 0.151362 0.761304 +v 0.160152 0.152887 0.760811 +v 0.159551 0.154293 0.761304 +v 0.158577 0.154758 0.762495 +v 0.159548 0.154088 0.764729 +v 0.159440 0.152771 0.765155 +v 0.159959 0.151556 0.764729 +v 0.160801 0.151154 0.763700 +v 0.161473 0.151802 0.762671 +v 0.161580 0.153119 0.762245 +v 0.161061 0.154334 0.762671 +v 0.160219 0.154735 0.763700 +v 0.161239 0.154158 0.765729 +v 0.161149 0.153049 0.766088 +v 0.161586 0.152025 0.765729 +v 0.162295 0.151687 0.764863 +v 0.162861 0.152232 0.763996 +v 0.162951 0.153342 0.763637 +v 0.162514 0.154366 0.763996 +v 0.161805 0.154704 0.764863 +v 0.162761 0.154201 0.766602 +v 0.162688 0.153299 0.766894 +v 0.163043 0.152467 0.766602 +v 0.163620 0.152192 0.765897 +v 0.164080 0.152635 0.765193 +v 0.164153 0.153537 0.764901 +v 0.163798 0.154370 0.765193 +v 0.163221 0.154645 0.765897 +v 0.164453 0.154272 0.767603 +v 0.164396 0.153577 0.767827 +v 0.164670 0.152936 0.767603 +v 0.165114 0.152724 0.767060 +v 0.165468 0.153066 0.766517 +v 0.165525 0.153760 0.766292 +v 0.165251 0.154402 0.766517 +v 0.164807 0.154613 0.767060 +v 0.166144 0.154342 0.768603 +v 0.166104 0.153855 0.768761 +v 0.166297 0.153405 0.768603 +v 0.166608 0.153256 0.768222 +v 0.166856 0.153496 0.767842 +v 0.166896 0.153984 0.767684 +v 0.166704 0.154433 0.767842 +v 0.166393 0.154582 0.768222 +v 0.167666 0.154385 0.769476 +v 0.167643 0.154105 0.769566 +v 0.167754 0.153847 0.769476 +v 0.167933 0.153761 0.769257 +v 0.168075 0.153899 0.769038 +v 0.168098 0.154179 0.768948 +v 0.167988 0.154437 0.769038 +v 0.167809 0.154523 0.769257 +v 0.169358 0.154455 0.770476 +v 0.169352 0.154383 0.770500 +v 0.169380 0.154316 0.770476 +v 0.169427 0.154294 0.770420 +v 0.169464 0.154329 0.770363 +v 0.169470 0.154402 0.770340 +v 0.169441 0.154469 0.770363 +v 0.169395 0.154491 0.770420 +v -0.080361 0.226576 0.721277 +v -0.078231 0.225655 0.722059 +v -0.075913 0.225751 0.721277 +v -0.074764 0.226807 0.719391 +v -0.075458 0.228205 0.717505 +v -0.077588 0.229126 0.716723 +v -0.079906 0.229030 0.717505 +v -0.081054 0.227974 0.719391 +v -0.079706 0.228771 0.722492 +v -0.077806 0.227950 0.723190 +v -0.075737 0.228035 0.722492 +v -0.074712 0.228978 0.720809 +v -0.075331 0.230225 0.719126 +v -0.077231 0.231046 0.718428 +v -0.079300 0.230961 0.719126 +v -0.080325 0.230018 0.720809 +v -0.079051 0.230966 0.723707 +v -0.077380 0.230244 0.724321 +v -0.075561 0.230319 0.723707 +v -0.074660 0.231148 0.722227 +v -0.075204 0.232245 0.720747 +v -0.076875 0.232967 0.720134 +v -0.078694 0.232892 0.720747 +v -0.079596 0.232063 0.722227 +v -0.078350 0.233412 0.725091 +v -0.076908 0.232789 0.725620 +v -0.075339 0.232853 0.725091 +v -0.074561 0.233569 0.723813 +v -0.075031 0.234515 0.722536 +v -0.076472 0.235138 0.722007 +v -0.078042 0.235073 0.722536 +v -0.078820 0.234358 0.723813 +v -0.077665 0.235774 0.726418 +v -0.076452 0.235250 0.726863 +v -0.075132 0.235304 0.726418 +v -0.074478 0.235906 0.725344 +v -0.074873 0.236702 0.724270 +v -0.076085 0.237226 0.723825 +v -0.077405 0.237171 0.724270 +v -0.078059 0.236570 0.725344 +v -0.077025 0.237886 0.727577 +v -0.076042 0.237461 0.727938 +v -0.074971 0.237505 0.727577 +v -0.074441 0.237993 0.726706 +v -0.074761 0.238638 0.725835 +v -0.075745 0.239063 0.725474 +v -0.076815 0.239019 0.725835 +v -0.077346 0.238531 0.726706 +v -0.076340 0.240248 0.728904 +v -0.075585 0.239922 0.729181 +v -0.074764 0.239956 0.728904 +v -0.074357 0.240330 0.728236 +v -0.074603 0.240825 0.727568 +v -0.075357 0.241151 0.727291 +v -0.076178 0.241117 0.727568 +v -0.076585 0.240743 0.728236 +v -0.075654 0.242610 0.730231 +v -0.075129 0.242383 0.730424 +v -0.074557 0.242407 0.730231 +v -0.074274 0.242667 0.729766 +v -0.074445 0.243012 0.729301 +v -0.074970 0.243239 0.729109 +v -0.075542 0.243215 0.729301 +v -0.075825 0.242955 0.729766 +v -0.075015 0.244722 0.731390 +v -0.074719 0.244594 0.731499 +v -0.074397 0.244607 0.731390 +v -0.074237 0.244754 0.731128 +v -0.074334 0.244948 0.730866 +v -0.074630 0.245076 0.730758 +v -0.074951 0.245063 0.730866 +v -0.075111 0.244916 0.731128 +v -0.074329 0.247084 0.732718 +v -0.074262 0.247055 0.732742 +v -0.074190 0.247058 0.732718 +v -0.074154 0.247091 0.732659 +v -0.074176 0.247135 0.732600 +v -0.074242 0.247164 0.732575 +v -0.074315 0.247161 0.732600 +v -0.074351 0.247128 0.732659 +v -0.048101 -0.123901 0.744945 +v -0.048252 -0.123796 0.745020 +v -0.048415 -0.123710 0.744945 +v -0.048494 -0.123693 0.744763 +v -0.048443 -0.123756 0.744581 +v -0.048292 -0.123861 0.744506 +v -0.048129 -0.123948 0.744581 +v -0.048050 -0.123964 0.744763 +v -0.049191 -0.125658 0.745241 +v -0.049331 -0.125560 0.745311 +v -0.049483 -0.125479 0.745241 +v -0.049557 -0.125464 0.745072 +v -0.049509 -0.125522 0.744902 +v -0.049369 -0.125621 0.744832 +v -0.049217 -0.125701 0.744902 +v -0.049143 -0.125717 0.745072 +v -0.050280 -0.127414 0.745537 +v -0.050411 -0.127323 0.745602 +v -0.050551 -0.127249 0.745537 +v -0.050619 -0.127234 0.745381 +v -0.050576 -0.127289 0.745224 +v -0.050445 -0.127380 0.745159 +v -0.050305 -0.127454 0.745224 +v -0.050237 -0.127469 0.745381 +v -0.051498 -0.129380 0.745870 +v -0.051618 -0.129296 0.745930 +v -0.051747 -0.129227 0.745870 +v -0.051810 -0.129214 0.745726 +v -0.051770 -0.129264 0.745581 +v -0.051650 -0.129348 0.745521 +v -0.051521 -0.129417 0.745581 +v -0.051458 -0.129430 0.745726 +v -0.052673 -0.131276 0.746191 +v -0.052783 -0.131199 0.746246 +v -0.052901 -0.131136 0.746191 +v -0.052958 -0.131124 0.746059 +v -0.052921 -0.131170 0.745927 +v -0.052812 -0.131247 0.745872 +v -0.052694 -0.131309 0.745927 +v -0.052636 -0.131321 0.746059 +v -0.053720 -0.132962 0.746475 +v -0.053819 -0.132893 0.746525 +v -0.053926 -0.132836 0.746475 +v -0.053979 -0.132825 0.746355 +v -0.053945 -0.132867 0.746236 +v -0.053846 -0.132936 0.746186 +v -0.053739 -0.132993 0.746236 +v -0.053687 -0.133004 0.746355 +v -0.054895 -0.134858 0.746796 +v -0.054984 -0.134796 0.746840 +v -0.055080 -0.134745 0.746796 +v -0.055127 -0.134735 0.746688 +v -0.055097 -0.134772 0.746581 +v -0.055008 -0.134835 0.746537 +v -0.054912 -0.134886 0.746581 +v -0.054865 -0.134895 0.746688 +v -0.056070 -0.136754 0.747116 +v -0.056149 -0.136699 0.747155 +v -0.056234 -0.136654 0.747116 +v -0.056275 -0.136645 0.747021 +v -0.056248 -0.136678 0.746927 +v -0.056170 -0.136733 0.746887 +v -0.056085 -0.136778 0.746927 +v -0.056044 -0.136787 0.747021 +v -0.057117 -0.138441 0.747400 +v -0.057185 -0.138393 0.747434 +v -0.057259 -0.138354 0.747400 +v -0.057295 -0.138346 0.747318 +v -0.057272 -0.138375 0.747235 +v -0.057204 -0.138423 0.747201 +v -0.057130 -0.138462 0.747235 +v -0.057094 -0.138469 0.747318 +v -0.058292 -0.140337 0.747721 +v -0.058350 -0.140296 0.747750 +v -0.058413 -0.140263 0.747721 +v -0.058443 -0.140256 0.747651 +v -0.058424 -0.140281 0.747581 +v -0.058366 -0.140321 0.747552 +v -0.058303 -0.140354 0.747581 +v -0.058273 -0.140361 0.747651 +v -0.102369 -0.242077 0.765741 +v -0.104385 -0.240660 0.766707 +v -0.106687 -0.239782 0.765741 +v -0.107927 -0.239958 0.763410 +v -0.107378 -0.241084 0.761079 +v -0.105362 -0.242500 0.760113 +v -0.103060 -0.243378 0.761079 +v -0.101820 -0.243202 0.763410 +v -0.103321 -0.243307 0.765949 +v -0.105119 -0.242043 0.766811 +v -0.107173 -0.241260 0.765949 +v -0.108279 -0.241417 0.763870 +v -0.107790 -0.242421 0.761790 +v -0.105992 -0.243685 0.760929 +v -0.103938 -0.244468 0.761790 +v -0.102832 -0.244311 0.763870 +v -0.104274 -0.244537 0.766157 +v -0.105854 -0.243426 0.766914 +v -0.107660 -0.242738 0.766157 +v -0.108632 -0.242876 0.764329 +v -0.108202 -0.243758 0.762501 +v -0.106621 -0.244869 0.761744 +v -0.104816 -0.245558 0.762501 +v -0.103843 -0.245420 0.764329 +v -0.105307 -0.245920 0.766420 +v -0.106670 -0.244961 0.767073 +v -0.108227 -0.244368 0.766420 +v -0.109066 -0.244487 0.764843 +v -0.108695 -0.245248 0.763267 +v -0.107331 -0.246206 0.762614 +v -0.105774 -0.246800 0.763267 +v -0.104936 -0.246681 0.764843 +v -0.106313 -0.247251 0.766664 +v -0.107459 -0.246446 0.767213 +v -0.108767 -0.245947 0.766664 +v -0.109472 -0.246047 0.765339 +v -0.109161 -0.246687 0.764014 +v -0.108015 -0.247492 0.763465 +v -0.106706 -0.247991 0.764014 +v -0.106001 -0.247891 0.765339 +v -0.107238 -0.248431 0.766854 +v -0.108167 -0.247778 0.767299 +v -0.109227 -0.247374 0.766854 +v -0.109798 -0.247455 0.765780 +v -0.109545 -0.247973 0.764707 +v -0.108617 -0.248626 0.764262 +v -0.107557 -0.249030 0.764707 +v -0.106986 -0.248949 0.765780 +v -0.108245 -0.249762 0.767098 +v -0.108956 -0.249263 0.767439 +v -0.109767 -0.248953 0.767098 +v -0.110205 -0.249015 0.766276 +v -0.110011 -0.249412 0.765454 +v -0.109300 -0.249912 0.765114 +v -0.108489 -0.250221 0.765454 +v -0.108051 -0.250159 0.766276 +v -0.109251 -0.251094 0.767343 +v -0.109744 -0.250747 0.767579 +v -0.110308 -0.250533 0.767343 +v -0.110611 -0.250576 0.766772 +v -0.110477 -0.250851 0.766202 +v -0.109984 -0.251198 0.765965 +v -0.109420 -0.251413 0.766202 +v -0.109117 -0.251370 0.766772 +v -0.110176 -0.252274 0.767532 +v -0.110452 -0.252080 0.767664 +v -0.110767 -0.251960 0.767532 +v -0.110937 -0.251984 0.767213 +v -0.110862 -0.252138 0.766894 +v -0.110586 -0.252332 0.766762 +v -0.110271 -0.252452 0.766894 +v -0.110101 -0.252428 0.767213 +v -0.111183 -0.253605 0.767777 +v -0.111241 -0.253564 0.767805 +v -0.111308 -0.253539 0.767777 +v -0.111344 -0.253544 0.767709 +v -0.111328 -0.253577 0.767642 +v -0.111269 -0.253618 0.767614 +v -0.111203 -0.253643 0.767642 +v -0.111167 -0.253638 0.767709 +v 0.228828 0.137746 0.784168 +v 0.230054 0.135618 0.785155 +v 0.231651 0.133753 0.784168 +v 0.232684 0.133243 0.781786 +v 0.232548 0.134387 0.779404 +v 0.231323 0.136515 0.778417 +v 0.229726 0.138380 0.779404 +v 0.228693 0.138890 0.781786 +v 0.232590 0.140082 0.784917 +v 0.233683 0.138184 0.785797 +v 0.235108 0.136520 0.784917 +v 0.236030 0.136065 0.782792 +v 0.235909 0.137086 0.780667 +v 0.234816 0.138984 0.779786 +v 0.233391 0.140648 0.780667 +v 0.232469 0.141103 0.782792 +v 0.236352 0.142418 0.785666 +v 0.237313 0.140749 0.786440 +v 0.238565 0.139287 0.785666 +v 0.239376 0.138887 0.783798 +v 0.239269 0.139785 0.781930 +v 0.238308 0.141453 0.781156 +v 0.237056 0.142916 0.781930 +v 0.236245 0.143315 0.783798 +v 0.240536 0.145053 0.786535 +v 0.241365 0.143614 0.787202 +v 0.242445 0.142353 0.786535 +v 0.243144 0.142008 0.784924 +v 0.243052 0.142782 0.783313 +v 0.242223 0.144221 0.782645 +v 0.241143 0.145482 0.783313 +v 0.240444 0.145827 0.784924 +v 0.244580 0.147588 0.787363 +v 0.245276 0.146379 0.787924 +v 0.246184 0.145319 0.787363 +v 0.246771 0.145029 0.786009 +v 0.246694 0.145679 0.784655 +v 0.245998 0.146889 0.784095 +v 0.245090 0.147949 0.784655 +v 0.244502 0.148239 0.786009 +v 0.248201 0.149825 0.788073 +v 0.248765 0.148845 0.788527 +v 0.249500 0.147986 0.788073 +v 0.249976 0.147752 0.786976 +v 0.249914 0.148278 0.785879 +v 0.249349 0.149258 0.785424 +v 0.248614 0.150117 0.785879 +v 0.248138 0.150352 0.786976 +v 0.252244 0.152360 0.788902 +v 0.252676 0.151610 0.789249 +v 0.253239 0.150952 0.788902 +v 0.253604 0.150773 0.788062 +v 0.253556 0.151176 0.787222 +v 0.253124 0.151926 0.786874 +v 0.252561 0.152584 0.787222 +v 0.252196 0.152764 0.788062 +v 0.256288 0.154896 0.789730 +v 0.256587 0.154375 0.789972 +v 0.256978 0.153918 0.789730 +v 0.257231 0.153794 0.789147 +v 0.257198 0.154074 0.788564 +v 0.256898 0.154594 0.788323 +v 0.256507 0.155051 0.788564 +v 0.256254 0.155176 0.789147 +v 0.259908 0.157132 0.790440 +v 0.260076 0.156841 0.790575 +v 0.260295 0.156586 0.790440 +v 0.260436 0.156516 0.790114 +v 0.260417 0.156673 0.789788 +v 0.260250 0.156964 0.789653 +v 0.260031 0.157219 0.789788 +v 0.259890 0.157289 0.790114 +v 0.263952 0.159667 0.791268 +v 0.263987 0.159606 0.791297 +v 0.264034 0.159552 0.791268 +v 0.264063 0.159537 0.791199 +v 0.264060 0.159570 0.791131 +v 0.264024 0.159632 0.791102 +v 0.263978 0.159686 0.791131 +v 0.263948 0.159701 0.791199 +v 0.245640 0.042254 0.827508 +v 0.244358 0.040416 0.828266 +v 0.243993 0.038205 0.827508 +v 0.244758 0.036917 0.825677 +v 0.246205 0.037306 0.823847 +v 0.247487 0.039144 0.823089 +v 0.247852 0.041354 0.823847 +v 0.247087 0.042643 0.825677 +v 0.248186 0.040965 0.829083 +v 0.247042 0.039324 0.829759 +v 0.246716 0.037351 0.829083 +v 0.247399 0.036201 0.827449 +v 0.248690 0.036548 0.825815 +v 0.249834 0.038188 0.825139 +v 0.250160 0.040162 0.825815 +v 0.249478 0.041311 0.827449 +v 0.250733 0.039675 0.830658 +v 0.249726 0.038232 0.831253 +v 0.249440 0.036497 0.830658 +v 0.250040 0.035486 0.829221 +v 0.251176 0.035791 0.827784 +v 0.252182 0.037233 0.827189 +v 0.252469 0.038969 0.827784 +v 0.251868 0.039980 0.829221 +v 0.253568 0.038268 0.832436 +v 0.252728 0.037011 0.832970 +v 0.252498 0.035507 0.832468 +v 0.253012 0.034636 0.831225 +v 0.253969 0.034908 0.829969 +v 0.254809 0.036164 0.829435 +v 0.255040 0.037669 0.829937 +v 0.254526 0.038540 0.831180 +v 0.256412 0.037005 0.834085 +v 0.255732 0.035938 0.834552 +v 0.255554 0.034666 0.834140 +v 0.255983 0.033935 0.833092 +v 0.256766 0.034172 0.832020 +v 0.257445 0.035239 0.831554 +v 0.257623 0.036511 0.831965 +v 0.257195 0.037242 0.833014 +v 0.258985 0.035853 0.835543 +v 0.258375 0.035010 0.835881 +v 0.258196 0.033992 0.835523 +v 0.258552 0.033395 0.834679 +v 0.259236 0.033569 0.833842 +v 0.259845 0.034412 0.833504 +v 0.260025 0.035430 0.833862 +v 0.259668 0.036027 0.834706 +v 0.261549 0.034256 0.837405 +v 0.260985 0.033661 0.837585 +v 0.260789 0.032911 0.837263 +v 0.261078 0.032445 0.836627 +v 0.261681 0.032536 0.836050 +v 0.262245 0.033131 0.835870 +v 0.262440 0.033881 0.836192 +v 0.262152 0.034347 0.836828 +v 0.263634 0.032273 0.839463 +v 0.263184 0.031904 0.839528 +v 0.263015 0.031408 0.839267 +v 0.263224 0.031077 0.838833 +v 0.263690 0.031103 0.838480 +v 0.264140 0.031472 0.838415 +v 0.264310 0.031967 0.838676 +v 0.264100 0.032299 0.839110 +v 0.265126 0.030238 0.841371 +v 0.264860 0.030042 0.841393 +v 0.264757 0.029769 0.841236 +v 0.264878 0.029579 0.840993 +v 0.265150 0.029584 0.840806 +v 0.265416 0.029780 0.840784 +v 0.265519 0.030053 0.840941 +v 0.265398 0.030243 0.841184 +v 0.266808 0.028002 0.843527 +v 0.266748 0.027955 0.843534 +v 0.266726 0.027890 0.843500 +v 0.266753 0.027847 0.843443 +v 0.266815 0.027850 0.843398 +v 0.266874 0.027897 0.843390 +v 0.266897 0.027961 0.843425 +v 0.266870 0.028005 0.843481 +v -0.175487 0.131839 0.914746 +v -0.173439 0.130323 0.915459 +v -0.170896 0.130157 0.914746 +v -0.169348 0.131438 0.913023 +v -0.169703 0.133415 0.911300 +v -0.171751 0.134930 0.910587 +v -0.174294 0.135097 0.911300 +v -0.175841 0.133816 0.913023 +v -0.174818 0.132898 0.915605 +v -0.172991 0.131546 0.916241 +v -0.170722 0.131398 0.915605 +v -0.169342 0.132540 0.914068 +v -0.169658 0.134304 0.912531 +v -0.171485 0.135656 0.911895 +v -0.173754 0.135804 0.912531 +v -0.175134 0.134662 0.914068 +v -0.174149 0.133958 0.916464 +v -0.172543 0.132769 0.917023 +v -0.170549 0.132639 0.916464 +v -0.169335 0.133643 0.915113 +v -0.169613 0.135193 0.913762 +v -0.171219 0.136382 0.913202 +v -0.173213 0.136512 0.913762 +v -0.174427 0.135508 0.915113 +v -0.173438 0.135133 0.917447 +v -0.172052 0.134108 0.917929 +v -0.170333 0.133995 0.917447 +v -0.169286 0.134861 0.916282 +v -0.169526 0.136199 0.915117 +v -0.170911 0.137224 0.914634 +v -0.172631 0.137336 0.915117 +v -0.173677 0.136470 0.916282 +v -0.172741 0.136269 0.918389 +v -0.171576 0.135408 0.918794 +v -0.170131 0.135313 0.918389 +v -0.169251 0.136041 0.917409 +v -0.169453 0.137165 0.916430 +v -0.170617 0.138026 0.916025 +v -0.172062 0.138121 0.916430 +v -0.172942 0.137393 0.917409 +v -0.172086 0.137290 0.919206 +v -0.171142 0.136592 0.919535 +v -0.169971 0.136516 0.919206 +v -0.169259 0.137105 0.918413 +v -0.169422 0.138016 0.917620 +v -0.170365 0.138714 0.917291 +v -0.171536 0.138790 0.917620 +v -0.172249 0.138201 0.918413 +v -0.171388 0.138427 0.920148 +v -0.170666 0.137892 0.920400 +v -0.169769 0.137834 0.920148 +v -0.169224 0.138285 0.919541 +v -0.169349 0.138982 0.918933 +v -0.170071 0.139517 0.918681 +v -0.170968 0.139575 0.918933 +v -0.171513 0.139124 0.919541 +v -0.170691 0.139563 0.921090 +v -0.170190 0.139192 0.921264 +v -0.169568 0.139152 0.921090 +v -0.169189 0.139465 0.920668 +v -0.169276 0.139949 0.920247 +v -0.169777 0.140320 0.920072 +v -0.170399 0.140360 0.920247 +v -0.170778 0.140047 0.920668 +v -0.170036 0.140584 0.921907 +v -0.169756 0.140377 0.922005 +v -0.169408 0.140354 0.921907 +v -0.169196 0.140529 0.921672 +v -0.169245 0.140800 0.921436 +v -0.169525 0.141007 0.921338 +v -0.169873 0.141030 0.921436 +v -0.170085 0.140854 0.921672 +v -0.169339 0.141720 0.922849 +v -0.169280 0.141677 0.922870 +v -0.169206 0.141672 0.922849 +v -0.169162 0.141709 0.922799 +v -0.169172 0.141766 0.922749 +v -0.169231 0.141810 0.922729 +v -0.169305 0.141815 0.922749 +v -0.169349 0.141778 0.922799 +v -0.299375 -0.062440 0.809856 +v -0.300156 -0.060123 0.810866 +v -0.301058 -0.057850 0.809856 +v -0.301552 -0.056952 0.807416 +v -0.301348 -0.057956 0.804976 +v -0.300567 -0.060273 0.803965 +v -0.299665 -0.062547 0.804976 +v -0.299171 -0.063444 0.807416 +v -0.303661 -0.063731 0.809874 +v -0.304358 -0.061664 0.810776 +v -0.305163 -0.059636 0.809874 +v -0.305603 -0.058835 0.807698 +v -0.305421 -0.059731 0.805521 +v -0.304724 -0.061798 0.804619 +v -0.303920 -0.063826 0.805521 +v -0.303479 -0.064627 0.807698 +v -0.307947 -0.065022 0.809893 +v -0.308560 -0.063204 0.810685 +v -0.309267 -0.061422 0.809893 +v -0.309654 -0.060718 0.807979 +v -0.309494 -0.061505 0.806066 +v -0.308882 -0.063322 0.805273 +v -0.308174 -0.065105 0.806066 +v -0.307787 -0.065809 0.807979 +v -0.312729 -0.066494 0.809945 +v -0.313258 -0.064927 0.810628 +v -0.313867 -0.063389 0.809945 +v -0.314201 -0.062782 0.808295 +v -0.314064 -0.063461 0.806645 +v -0.313535 -0.065029 0.805961 +v -0.312925 -0.066566 0.806645 +v -0.312591 -0.067173 0.808295 +v -0.317346 -0.067906 0.809986 +v -0.317790 -0.066589 0.810560 +v -0.318303 -0.065297 0.809986 +v -0.318583 -0.064786 0.808599 +v -0.318467 -0.065357 0.807212 +v -0.318023 -0.066674 0.806637 +v -0.317511 -0.067966 0.807212 +v -0.317230 -0.068477 0.808599 +v -0.321467 -0.069136 0.809993 +v -0.321827 -0.068069 0.810458 +v -0.322242 -0.067022 0.809993 +v -0.322469 -0.066609 0.808869 +v -0.322375 -0.067071 0.807746 +v -0.322015 -0.068138 0.807280 +v -0.321600 -0.069185 0.807746 +v -0.321373 -0.069598 0.808869 +v -0.326083 -0.070548 0.810034 +v -0.326359 -0.069731 0.810390 +v -0.326677 -0.068929 0.810034 +v -0.326851 -0.068613 0.809174 +v -0.326779 -0.068967 0.808313 +v -0.326504 -0.069784 0.807957 +v -0.326186 -0.070585 0.808313 +v -0.326012 -0.070902 0.809174 +v -0.330700 -0.071960 0.810075 +v -0.330891 -0.071393 0.810322 +v -0.331112 -0.070836 0.810075 +v -0.331233 -0.070617 0.809478 +v -0.331183 -0.070862 0.808881 +v -0.330992 -0.071430 0.808633 +v -0.330771 -0.071986 0.808881 +v -0.330650 -0.072206 0.809478 +v -0.334821 -0.073190 0.810082 +v -0.334928 -0.072873 0.810220 +v -0.335051 -0.072562 0.810082 +v -0.335119 -0.072439 0.809748 +v -0.335091 -0.072576 0.809415 +v -0.334984 -0.072893 0.809276 +v -0.334861 -0.073204 0.809415 +v -0.334793 -0.073327 0.809748 +v -0.339438 -0.074602 0.810123 +v -0.339460 -0.074535 0.810152 +v -0.339486 -0.074469 0.810123 +v -0.339501 -0.074443 0.810053 +v -0.339495 -0.074472 0.809982 +v -0.339472 -0.074539 0.809953 +v -0.339446 -0.074605 0.809982 +v -0.339432 -0.074631 0.810053 +v -0.230055 -0.127922 0.872094 +v -0.231515 -0.125858 0.872876 +v -0.233800 -0.124778 0.872094 +v -0.235574 -0.125316 0.870204 +v -0.235796 -0.127155 0.868315 +v -0.234336 -0.129219 0.867533 +v -0.232051 -0.130299 0.868315 +v -0.230277 -0.129762 0.870204 +v -0.231435 -0.129155 0.873256 +v -0.232737 -0.127314 0.873954 +v -0.234776 -0.126350 0.873256 +v -0.236358 -0.126830 0.871571 +v -0.236556 -0.128471 0.869885 +v -0.235254 -0.130312 0.869187 +v -0.233215 -0.131275 0.869885 +v -0.231633 -0.130796 0.871571 +v -0.232814 -0.130388 0.874419 +v -0.233959 -0.128769 0.875033 +v -0.235751 -0.127923 0.874419 +v -0.237142 -0.128344 0.872937 +v -0.237316 -0.129786 0.871456 +v -0.236172 -0.131405 0.870842 +v -0.234379 -0.132252 0.871456 +v -0.232989 -0.131831 0.872937 +v -0.234321 -0.131772 0.875744 +v -0.235308 -0.130376 0.876273 +v -0.236854 -0.129646 0.875744 +v -0.238053 -0.130009 0.874466 +v -0.238203 -0.131253 0.873188 +v -0.237216 -0.132649 0.872659 +v -0.235670 -0.133380 0.873188 +v -0.234471 -0.133016 0.874466 +v -0.235785 -0.133106 0.877014 +v -0.236614 -0.131933 0.877459 +v -0.237914 -0.131319 0.877014 +v -0.238921 -0.131624 0.875941 +v -0.239048 -0.132670 0.874867 +v -0.238218 -0.133843 0.874422 +v -0.236919 -0.134457 0.874867 +v -0.235911 -0.134152 0.875941 +v -0.237122 -0.134289 0.878123 +v -0.237794 -0.133338 0.878483 +v -0.238847 -0.132841 0.878123 +v -0.239663 -0.133088 0.877253 +v -0.239766 -0.133935 0.876383 +v -0.239094 -0.134886 0.876023 +v -0.238041 -0.135383 0.876383 +v -0.237224 -0.135136 0.877253 +v -0.238586 -0.135622 0.879394 +v -0.239101 -0.134894 0.879670 +v -0.239907 -0.134514 0.879394 +v -0.240532 -0.134703 0.878728 +v -0.240610 -0.135352 0.878061 +v -0.240096 -0.136080 0.877785 +v -0.239290 -0.136460 0.878061 +v -0.238665 -0.136271 0.878728 +v -0.240050 -0.136956 0.880664 +v -0.240407 -0.136451 0.880856 +v -0.240967 -0.136187 0.880664 +v -0.241401 -0.136318 0.880202 +v -0.241455 -0.136768 0.879740 +v -0.241098 -0.137273 0.879548 +v -0.240539 -0.137538 0.879740 +v -0.240105 -0.137406 0.880202 +v -0.241388 -0.138139 0.881773 +v -0.241587 -0.137856 0.881880 +v -0.241900 -0.137708 0.881773 +v -0.242143 -0.137782 0.881515 +v -0.242173 -0.138034 0.881256 +v -0.241973 -0.138316 0.881149 +v -0.241661 -0.138464 0.881256 +v -0.241418 -0.138390 0.881515 +v -0.242852 -0.139472 0.883044 +v -0.242894 -0.139413 0.883066 +v -0.242960 -0.139381 0.883044 +v -0.243011 -0.139397 0.882989 +v -0.243018 -0.139450 0.882934 +v -0.242975 -0.139510 0.882912 +v -0.242909 -0.139541 0.882934 +v -0.242858 -0.139526 0.882989 +v -0.234178 0.130478 0.897855 +v -0.232411 0.132202 0.898807 +v -0.231186 0.134345 0.897855 +v -0.231221 0.135652 0.895554 +v -0.232495 0.135358 0.893253 +v -0.234262 0.133634 0.892300 +v -0.235487 0.131490 0.893253 +v -0.235452 0.130183 0.895554 +v -0.237865 0.133664 0.899324 +v -0.236288 0.135202 0.900174 +v -0.235196 0.137114 0.899324 +v -0.235227 0.138280 0.897271 +v -0.236363 0.138017 0.895219 +v -0.237939 0.136479 0.894369 +v -0.239032 0.134567 0.895219 +v -0.239001 0.133401 0.897271 +v -0.241551 0.136850 0.900793 +v -0.240166 0.138202 0.901540 +v -0.239205 0.139882 0.900793 +v -0.239232 0.140907 0.898989 +v -0.240231 0.140676 0.897185 +v -0.241617 0.139324 0.896438 +v -0.242578 0.137644 0.897185 +v -0.242551 0.136619 0.898989 +v -0.245686 0.140382 0.902466 +v -0.244491 0.141548 0.903111 +v -0.243663 0.142998 0.902466 +v -0.243686 0.143882 0.900910 +v -0.244548 0.143683 0.899355 +v -0.245743 0.142517 0.898710 +v -0.246571 0.141067 0.899355 +v -0.246548 0.140183 0.900910 +v -0.249672 0.143799 0.904071 +v -0.248667 0.144779 0.904613 +v -0.247971 0.145998 0.904071 +v -0.247991 0.146741 0.902764 +v -0.248715 0.146573 0.901456 +v -0.249719 0.145593 0.900914 +v -0.250416 0.144375 0.901456 +v -0.250396 0.143632 0.902764 +v -0.253209 0.146870 0.905473 +v -0.252395 0.147664 0.905912 +v -0.251831 0.148651 0.905473 +v -0.251847 0.149253 0.904413 +v -0.252434 0.149117 0.903354 +v -0.253247 0.148323 0.902915 +v -0.253812 0.147336 0.903354 +v -0.253796 0.146734 0.904413 +v -0.257194 0.150287 0.907078 +v -0.256571 0.150895 0.907414 +v -0.256139 0.151651 0.907078 +v -0.256151 0.152111 0.906267 +v -0.256601 0.152008 0.905456 +v -0.257224 0.151400 0.905120 +v -0.257656 0.150644 0.905456 +v -0.257644 0.150183 0.906267 +v -0.261180 0.153704 0.908683 +v -0.260747 0.154126 0.908916 +v -0.260448 0.154650 0.908683 +v -0.260456 0.154970 0.908120 +v -0.260768 0.154898 0.907557 +v -0.261200 0.154476 0.907324 +v -0.261500 0.153952 0.907557 +v -0.261492 0.153632 0.908120 +v -0.264717 0.156774 0.910085 +v -0.264475 0.157010 0.910215 +v -0.264307 0.157303 0.910085 +v -0.264312 0.157482 0.909770 +v -0.264487 0.157442 0.909455 +v -0.264728 0.157206 0.909325 +v -0.264896 0.156913 0.909455 +v -0.264891 0.156734 0.909770 +v -0.268702 0.160191 0.911690 +v -0.268651 0.160241 0.911717 +v -0.268616 0.160303 0.911690 +v -0.268617 0.160341 0.911623 +v -0.268654 0.160333 0.911557 +v -0.268705 0.160283 0.911529 +v -0.268740 0.160221 0.911557 +v -0.268739 0.160183 0.911623 +v -0.283238 0.002973 0.841797 +v -0.281141 0.004332 0.842667 +v -0.279775 0.006424 0.841797 +v -0.279939 0.008024 0.839696 +v -0.281539 0.008195 0.837594 +v -0.283636 0.006836 0.836724 +v -0.285003 0.004744 0.837594 +v -0.284838 0.003143 0.839696 +v -0.286251 0.006370 0.844186 +v -0.284380 0.007582 0.844963 +v -0.283161 0.009449 0.844186 +v -0.283308 0.010876 0.842312 +v -0.284735 0.011029 0.840437 +v -0.286606 0.009816 0.839661 +v -0.287825 0.007950 0.840437 +v -0.287678 0.006522 0.842312 +v -0.289263 0.009767 0.846576 +v -0.287619 0.010833 0.847258 +v -0.286547 0.012474 0.846576 +v -0.286676 0.013729 0.844928 +v -0.287931 0.013862 0.843280 +v -0.289575 0.012797 0.842598 +v -0.290647 0.011156 0.843280 +v -0.290518 0.009901 0.844928 +v -0.292644 0.013534 0.849276 +v -0.291226 0.014453 0.849864 +v -0.290302 0.015868 0.849276 +v -0.290413 0.016951 0.847855 +v -0.291495 0.017066 0.846434 +v -0.292913 0.016147 0.845845 +v -0.293837 0.014732 0.846434 +v -0.293726 0.013650 0.847855 +v -0.295902 0.017178 0.851872 +v -0.294710 0.017951 0.852367 +v -0.293933 0.019140 0.851872 +v -0.294027 0.020049 0.850678 +v -0.294936 0.020146 0.849483 +v -0.296128 0.019374 0.848989 +v -0.296905 0.018185 0.849483 +v -0.296811 0.017275 0.850678 +v -0.298792 0.020452 0.854158 +v -0.297826 0.021078 0.854559 +v -0.297197 0.022042 0.854158 +v -0.297273 0.022778 0.853190 +v -0.298009 0.022857 0.852223 +v -0.298975 0.022231 0.851822 +v -0.299604 0.021268 0.852223 +v -0.299528 0.020531 0.853190 +v -0.302050 0.024096 0.856755 +v -0.301310 0.024575 0.857061 +v -0.300829 0.025313 0.856755 +v -0.300887 0.025877 0.856014 +v -0.301451 0.025937 0.855273 +v -0.302190 0.025458 0.854966 +v -0.302672 0.024721 0.855273 +v -0.302614 0.024156 0.856014 +v -0.305308 0.027740 0.859351 +v -0.304795 0.028072 0.859564 +v -0.304460 0.028584 0.859351 +v -0.304501 0.028976 0.858837 +v -0.304892 0.029018 0.858323 +v -0.305405 0.028685 0.858110 +v -0.305740 0.028173 0.858323 +v -0.305699 0.027782 0.858837 +v -0.308198 0.031014 0.861637 +v -0.307911 0.031200 0.861756 +v -0.307724 0.031486 0.861637 +v -0.307746 0.031705 0.861350 +v -0.307965 0.031728 0.861062 +v -0.308252 0.031543 0.860943 +v -0.308439 0.031256 0.861062 +v -0.308417 0.031037 0.861350 +v -0.311456 0.034658 0.864233 +v -0.311395 0.034697 0.864259 +v -0.311356 0.034758 0.864233 +v -0.311360 0.034804 0.864173 +v -0.311407 0.034809 0.864112 +v -0.311467 0.034770 0.864087 +v -0.311507 0.034709 0.864112 +v -0.311502 0.034663 0.864173 +v 0.050111 -0.104543 0.902575 +v 0.049926 -0.104584 0.902649 +v 0.049759 -0.104671 0.902575 +v 0.049707 -0.104754 0.902398 +v 0.049800 -0.104783 0.902221 +v 0.049984 -0.104742 0.902147 +v 0.050151 -0.104655 0.902221 +v 0.050204 -0.104573 0.902398 +v 0.050600 -0.105923 0.903054 +v 0.050429 -0.105961 0.903122 +v 0.050273 -0.106043 0.903054 +v 0.050224 -0.106119 0.902888 +v 0.050311 -0.106147 0.902723 +v 0.050482 -0.106109 0.902655 +v 0.050638 -0.106027 0.902723 +v 0.050687 -0.105951 0.902888 +v 0.051090 -0.107303 0.903532 +v 0.050931 -0.107338 0.903595 +v 0.050787 -0.107414 0.903532 +v 0.050742 -0.107485 0.903379 +v 0.050822 -0.107510 0.903226 +v 0.050981 -0.107475 0.903163 +v 0.051125 -0.107400 0.903226 +v 0.051170 -0.107329 0.903379 +v 0.051639 -0.108846 0.904068 +v 0.051493 -0.108878 0.904126 +v 0.051360 -0.108948 0.904068 +v 0.051318 -0.109013 0.903927 +v 0.051392 -0.109036 0.903787 +v 0.051538 -0.109004 0.903728 +v 0.051671 -0.108935 0.903787 +v 0.051713 -0.108869 0.903927 +v 0.052168 -0.110334 0.904585 +v 0.052035 -0.110364 0.904638 +v 0.051914 -0.110427 0.904585 +v 0.051876 -0.110487 0.904456 +v 0.051943 -0.110508 0.904328 +v 0.052076 -0.110479 0.904275 +v 0.052197 -0.110415 0.904328 +v 0.052235 -0.110356 0.904456 +v 0.052638 -0.111660 0.905043 +v 0.052517 -0.111687 0.905091 +v 0.052408 -0.111744 0.905043 +v 0.052373 -0.111798 0.904927 +v 0.052434 -0.111817 0.904811 +v 0.052555 -0.111791 0.904763 +v 0.052664 -0.111733 0.904811 +v 0.052699 -0.111679 0.904927 +v 0.053167 -0.113149 0.905560 +v 0.053059 -0.113173 0.905603 +v 0.052961 -0.113224 0.905560 +v 0.052930 -0.113272 0.905456 +v 0.052985 -0.113289 0.905352 +v 0.053093 -0.113265 0.905309 +v 0.053191 -0.113214 0.905352 +v 0.053221 -0.113166 0.905456 +v 0.053696 -0.114637 0.906077 +v 0.053601 -0.114658 0.906115 +v 0.053515 -0.114703 0.906077 +v 0.053488 -0.114746 0.905985 +v 0.053536 -0.114761 0.905894 +v 0.053631 -0.114740 0.905856 +v 0.053717 -0.114695 0.905894 +v 0.053744 -0.114652 0.905985 +v 0.054166 -0.115963 0.906535 +v 0.054084 -0.115981 0.906568 +v 0.054009 -0.116020 0.906535 +v 0.053985 -0.116057 0.906456 +v 0.054027 -0.116070 0.906377 +v 0.054109 -0.116052 0.906344 +v 0.054184 -0.116013 0.906377 +v 0.054208 -0.115976 0.906456 +v 0.054695 -0.117451 0.907052 +v 0.054625 -0.117467 0.907080 +v 0.054562 -0.117500 0.907052 +v 0.054542 -0.117531 0.906985 +v 0.054578 -0.117542 0.906918 +v 0.054647 -0.117527 0.906890 +v 0.054711 -0.117494 0.906918 +v 0.054730 -0.117463 0.906985 +v 0.092477 -0.178790 0.952322 +v 0.090167 -0.179918 0.952948 +v 0.088963 -0.182190 0.952322 +v 0.089572 -0.184276 0.950812 +v 0.091637 -0.184954 0.949302 +v 0.093947 -0.183826 0.948676 +v 0.095151 -0.181554 0.949302 +v 0.094542 -0.179468 0.950812 +v 0.093608 -0.180339 0.954313 +v 0.091547 -0.181344 0.954871 +v 0.090473 -0.183371 0.954313 +v 0.091016 -0.185232 0.952966 +v 0.092858 -0.185837 0.951618 +v 0.094920 -0.184831 0.951060 +v 0.095993 -0.182804 0.951618 +v 0.095450 -0.180943 0.952966 +v 0.094739 -0.181887 0.956303 +v 0.092927 -0.182771 0.956794 +v 0.091983 -0.184553 0.956303 +v 0.092461 -0.186189 0.955119 +v 0.094080 -0.186720 0.953935 +v 0.095892 -0.185836 0.953444 +v 0.096835 -0.184054 0.953935 +v 0.096358 -0.182418 0.955119 +v 0.096009 -0.183579 0.958549 +v 0.094446 -0.184342 0.958972 +v 0.093633 -0.185879 0.958549 +v 0.094044 -0.187289 0.957528 +v 0.095441 -0.187747 0.956506 +v 0.097003 -0.186985 0.956083 +v 0.097817 -0.185448 0.956506 +v 0.097406 -0.184038 0.957528 +v 0.097233 -0.185224 0.960710 +v 0.095920 -0.185865 0.961066 +v 0.095236 -0.187156 0.960710 +v 0.095582 -0.188342 0.959852 +v 0.096755 -0.188727 0.958993 +v 0.098069 -0.188086 0.958638 +v 0.098753 -0.186794 0.958993 +v 0.098407 -0.185609 0.959852 +v 0.098317 -0.186724 0.962615 +v 0.097253 -0.187243 0.962903 +v 0.096699 -0.188289 0.962615 +v 0.096979 -0.189250 0.961920 +v 0.097930 -0.189562 0.961224 +v 0.098994 -0.189043 0.960936 +v 0.099548 -0.187996 0.961224 +v 0.099268 -0.187036 0.961920 +v 0.099541 -0.188368 0.964776 +v 0.098726 -0.188766 0.964997 +v 0.098302 -0.189567 0.964776 +v 0.098517 -0.190302 0.964243 +v 0.099245 -0.190541 0.963711 +v 0.100060 -0.190144 0.963490 +v 0.100484 -0.189343 0.963711 +v 0.100269 -0.188607 0.964243 +v 0.100765 -0.190013 0.966937 +v 0.100199 -0.190288 0.967090 +v 0.099905 -0.190845 0.966937 +v 0.100054 -0.191355 0.966567 +v 0.100559 -0.191521 0.966198 +v 0.101125 -0.191245 0.966045 +v 0.101419 -0.190689 0.966198 +v 0.101270 -0.190178 0.966567 +v 0.101849 -0.191513 0.968842 +v 0.101533 -0.191667 0.968928 +v 0.101368 -0.191978 0.968842 +v 0.101452 -0.192263 0.968635 +v 0.101734 -0.192356 0.968429 +v 0.102050 -0.192202 0.968343 +v 0.102215 -0.191891 0.968429 +v 0.102132 -0.191605 0.968635 +v 0.103073 -0.193157 0.971003 +v 0.103006 -0.193190 0.971021 +v 0.102971 -0.193255 0.971003 +v 0.102989 -0.193316 0.970959 +v 0.103049 -0.193335 0.970915 +v 0.103116 -0.193303 0.970897 +v 0.103150 -0.193237 0.970915 +v 0.103133 -0.193177 0.970959 +v 0.040410 -0.205807 0.932904 +v 0.038676 -0.204072 0.933876 +v 0.036601 -0.202763 0.932904 +v 0.035401 -0.202646 0.930556 +v 0.035779 -0.203791 0.928209 +v 0.037513 -0.205526 0.927236 +v 0.039588 -0.206835 0.928209 +v 0.040788 -0.206952 0.930556 +v 0.038415 -0.207882 0.933434 +v 0.036868 -0.206334 0.934302 +v 0.035017 -0.205166 0.933434 +v 0.033946 -0.205062 0.931340 +v 0.034283 -0.206084 0.929246 +v 0.035831 -0.207632 0.928379 +v 0.037681 -0.208800 0.929246 +v 0.038752 -0.208903 0.931340 +v 0.036419 -0.209957 0.933965 +v 0.035059 -0.208596 0.934728 +v 0.033432 -0.207570 0.933965 +v 0.032491 -0.207478 0.932124 +v 0.032788 -0.208376 0.930283 +v 0.034148 -0.209737 0.929521 +v 0.035775 -0.210764 0.930283 +v 0.036716 -0.210855 0.932124 +v 0.034217 -0.212292 0.934589 +v 0.033044 -0.211118 0.935246 +v 0.031641 -0.210232 0.934589 +v 0.030829 -0.210154 0.933001 +v 0.031085 -0.210928 0.931413 +v 0.032258 -0.212102 0.930756 +v 0.033661 -0.212987 0.931413 +v 0.034472 -0.213066 0.933001 +v 0.032083 -0.214539 0.935182 +v 0.031097 -0.213553 0.935734 +v 0.029918 -0.212809 0.935182 +v 0.029236 -0.212743 0.933847 +v 0.029451 -0.213393 0.932513 +v 0.030437 -0.214380 0.931960 +v 0.031616 -0.215124 0.932513 +v 0.032298 -0.215190 0.933847 +v 0.030157 -0.216528 0.935681 +v 0.029358 -0.215729 0.936129 +v 0.028403 -0.215126 0.935681 +v 0.027850 -0.215072 0.934600 +v 0.028024 -0.215600 0.933519 +v 0.028823 -0.216399 0.933071 +v 0.029778 -0.217002 0.933519 +v 0.030331 -0.217055 0.934600 +v 0.028023 -0.218776 0.936274 +v 0.027412 -0.218164 0.936617 +v 0.026680 -0.217702 0.936274 +v 0.026257 -0.217661 0.935446 +v 0.026390 -0.218065 0.934618 +v 0.027002 -0.218677 0.934275 +v 0.027734 -0.219139 0.934618 +v 0.028157 -0.219180 0.935446 +v 0.025890 -0.221024 0.936867 +v 0.025465 -0.220599 0.937105 +v 0.024958 -0.220279 0.936867 +v 0.024664 -0.220250 0.936292 +v 0.024756 -0.220530 0.935717 +v 0.025181 -0.220955 0.935479 +v 0.025689 -0.221276 0.935717 +v 0.025982 -0.221304 0.936292 +v 0.023964 -0.223013 0.937366 +v 0.023726 -0.222775 0.937500 +v 0.023442 -0.222596 0.937366 +v 0.023278 -0.222580 0.937045 +v 0.023330 -0.222737 0.936724 +v 0.023567 -0.222974 0.936591 +v 0.023851 -0.223153 0.936724 +v 0.024015 -0.223169 0.937045 +v 0.021830 -0.225260 0.937959 +v 0.021780 -0.225210 0.937987 +v 0.021720 -0.225172 0.937959 +v 0.021685 -0.225169 0.937891 +v 0.021696 -0.225202 0.937823 +v 0.021746 -0.225252 0.937795 +v 0.021806 -0.225290 0.937823 +v 0.021841 -0.225294 0.937891 +v 0.275677 0.044610 1.022796 +v 0.275516 0.042170 1.023806 +v 0.275502 0.039724 1.022796 +v 0.275643 0.038706 1.020358 +v 0.275857 0.039711 1.017920 +v 0.276018 0.042152 1.016910 +v 0.276032 0.044598 1.017920 +v 0.275890 0.045616 1.020358 +v 0.280372 0.044178 1.022875 +v 0.280228 0.042001 1.023776 +v 0.280216 0.039819 1.022875 +v 0.280342 0.038911 1.020699 +v 0.280533 0.039808 1.018524 +v 0.280676 0.041985 1.017623 +v 0.280689 0.044167 1.018524 +v 0.280563 0.045076 1.020699 +v 0.285067 0.043747 1.022953 +v 0.284941 0.041833 1.023745 +v 0.284930 0.039915 1.022953 +v 0.285041 0.039116 1.021041 +v 0.285209 0.039905 1.019129 +v 0.285335 0.041819 1.018337 +v 0.285346 0.043737 1.019129 +v 0.285235 0.044535 1.021041 +v 0.290319 0.043295 1.023072 +v 0.290210 0.041644 1.023755 +v 0.290200 0.039990 1.023072 +v 0.290296 0.039301 1.021423 +v 0.290440 0.039981 1.019774 +v 0.290549 0.041632 1.019091 +v 0.290559 0.043286 1.019774 +v 0.290463 0.043975 1.021423 +v 0.295385 0.042850 1.023178 +v 0.295293 0.041462 1.023752 +v 0.295285 0.040072 1.023178 +v 0.295366 0.039493 1.021792 +v 0.295487 0.040065 1.020406 +v 0.295579 0.041452 1.019832 +v 0.295586 0.042842 1.020406 +v 0.295506 0.043421 1.021792 +v 0.299895 0.042424 1.023243 +v 0.299820 0.041300 1.023708 +v 0.299814 0.040174 1.023243 +v 0.299879 0.039705 1.022120 +v 0.299978 0.040168 1.020997 +v 0.300052 0.041292 1.020532 +v 0.300058 0.042418 1.020997 +v 0.299993 0.042887 1.022120 +v 0.304961 0.041979 1.023348 +v 0.304904 0.041118 1.023704 +v 0.304899 0.040256 1.023348 +v 0.304949 0.039897 1.022488 +v 0.305024 0.040252 1.021629 +v 0.305081 0.041112 1.021272 +v 0.305086 0.041975 1.021629 +v 0.305036 0.042334 1.022488 +v 0.310027 0.041534 1.023454 +v 0.309987 0.040937 1.023701 +v 0.309984 0.040338 1.023454 +v 0.310018 0.040089 1.022857 +v 0.310071 0.040335 1.022260 +v 0.310110 0.040932 1.022013 +v 0.310113 0.041531 1.022260 +v 0.310079 0.041780 1.022857 +v 0.314537 0.041109 1.023519 +v 0.314515 0.040775 1.023657 +v 0.314513 0.040440 1.023519 +v 0.314532 0.040301 1.023185 +v 0.314561 0.040438 1.022851 +v 0.314583 0.040772 1.022713 +v 0.314585 0.041107 1.022851 +v 0.314566 0.041246 1.023185 +v 0.319603 0.040663 1.023624 +v 0.319598 0.040593 1.023653 +v 0.319598 0.040522 1.023624 +v 0.319602 0.040493 1.023554 +v 0.319608 0.040522 1.023483 +v 0.319613 0.040592 1.023454 +v 0.319613 0.040663 1.023483 +v 0.319609 0.040692 1.023554 +v 0.223659 -0.104930 0.966290 +v 0.222778 -0.106765 0.967130 +v 0.221784 -0.108540 0.966290 +v 0.221260 -0.109217 0.964262 +v 0.221512 -0.108399 0.962234 +v 0.222392 -0.106564 0.961394 +v 0.223386 -0.104789 0.962234 +v 0.223911 -0.104112 0.964262 +v 0.224699 -0.105716 0.965974 +v 0.223913 -0.107354 0.966724 +v 0.223025 -0.108939 0.965974 +v 0.222557 -0.109543 0.964163 +v 0.222782 -0.108812 0.962353 +v 0.223568 -0.107175 0.961603 +v 0.224456 -0.105590 0.962353 +v 0.224924 -0.104985 0.964163 +v 0.225739 -0.106502 0.965658 +v 0.225047 -0.107943 0.966318 +v 0.224267 -0.109338 0.965658 +v 0.223854 -0.109869 0.964065 +v 0.224052 -0.109226 0.962472 +v 0.224744 -0.107785 0.961812 +v 0.225525 -0.106391 0.962472 +v 0.225937 -0.105859 0.964065 +v 0.226916 -0.107359 0.965330 +v 0.226319 -0.108603 0.965900 +v 0.225645 -0.109807 0.965330 +v 0.225289 -0.110266 0.963954 +v 0.225460 -0.109711 0.962579 +v 0.226057 -0.108467 0.962009 +v 0.226731 -0.107263 0.962579 +v 0.227087 -0.106804 0.963954 +v 0.228048 -0.108192 0.965006 +v 0.227545 -0.109240 0.965486 +v 0.226977 -0.110254 0.965006 +v 0.226678 -0.110640 0.963848 +v 0.226821 -0.110173 0.962690 +v 0.227324 -0.109125 0.962210 +v 0.227892 -0.108111 0.962690 +v 0.228191 -0.107725 0.963848 +v 0.229042 -0.108954 0.964694 +v 0.228633 -0.109805 0.965083 +v 0.228173 -0.110628 0.964694 +v 0.227929 -0.110942 0.963753 +v 0.228046 -0.110563 0.962813 +v 0.228455 -0.109712 0.962423 +v 0.228915 -0.108889 0.962813 +v 0.229159 -0.108575 0.963753 +v 0.230173 -0.109788 0.964370 +v 0.229859 -0.110442 0.964669 +v 0.229505 -0.111075 0.964370 +v 0.229318 -0.111316 0.963647 +v 0.229408 -0.111024 0.962924 +v 0.229722 -0.110370 0.962624 +v 0.230076 -0.109737 0.962924 +v 0.230263 -0.109496 0.963647 +v 0.231305 -0.110621 0.964046 +v 0.231085 -0.111078 0.964255 +v 0.230837 -0.111521 0.964046 +v 0.230707 -0.111689 0.963541 +v 0.230769 -0.111485 0.963035 +v 0.230989 -0.111028 0.962826 +v 0.231237 -0.110586 0.963035 +v 0.231367 -0.110417 0.963541 +v 0.232299 -0.111383 0.963734 +v 0.232174 -0.111643 0.963853 +v 0.232033 -0.111896 0.963734 +v 0.231958 -0.111992 0.963446 +v 0.231994 -0.111876 0.963158 +v 0.232119 -0.111615 0.963039 +v 0.232260 -0.111363 0.963158 +v 0.232335 -0.111267 0.963446 +v 0.233430 -0.112216 0.963410 +v 0.233400 -0.112280 0.963439 +v 0.233365 -0.112342 0.963410 +v 0.233347 -0.112365 0.963339 +v 0.233356 -0.112337 0.963269 +v 0.233386 -0.112273 0.963240 +v 0.233421 -0.112211 0.963269 +v 0.233439 -0.112188 0.963339 +v 0.228306 0.087126 1.054535 +v 0.230359 0.085658 1.055329 +v 0.232866 0.085361 1.054535 +v 0.234358 0.086410 1.052618 +v 0.233961 0.088190 1.050700 +v 0.231908 0.089659 1.049906 +v 0.229402 0.089955 1.050700 +v 0.227910 0.088907 1.052618 +v 0.229476 0.089418 1.056223 +v 0.231308 0.088107 1.056932 +v 0.233544 0.087843 1.056223 +v 0.234875 0.088778 1.054513 +v 0.234521 0.090366 1.052802 +v 0.232690 0.091677 1.052094 +v 0.230453 0.091941 1.052802 +v 0.229122 0.091006 1.054513 +v 0.230646 0.091709 1.057911 +v 0.232256 0.090557 1.058534 +v 0.234222 0.090324 1.057911 +v 0.235392 0.091147 1.056408 +v 0.235081 0.092543 1.054904 +v 0.233471 0.093694 1.054281 +v 0.231505 0.093927 1.054904 +v 0.230335 0.093105 1.056408 +v 0.231919 0.094265 1.059824 +v 0.233307 0.093272 1.060362 +v 0.235003 0.093071 1.059824 +v 0.236012 0.093780 1.058528 +v 0.235744 0.094984 1.057231 +v 0.234355 0.095978 1.056694 +v 0.232660 0.096178 1.057231 +v 0.231651 0.095469 1.058528 +v 0.233157 0.096733 1.061663 +v 0.234324 0.095898 1.062114 +v 0.235749 0.095729 1.061663 +v 0.236597 0.096326 1.060573 +v 0.236372 0.097337 1.059483 +v 0.235205 0.098172 1.059031 +v 0.233780 0.098341 1.059483 +v 0.232932 0.097745 1.060573 +v 0.234293 0.098936 1.063276 +v 0.235239 0.098259 1.063642 +v 0.236393 0.098123 1.063276 +v 0.237080 0.098606 1.062393 +v 0.236897 0.099425 1.061510 +v 0.235952 0.100102 1.061144 +v 0.234798 0.100239 1.061510 +v 0.234111 0.099755 1.062393 +v 0.235532 0.101404 1.065114 +v 0.236256 0.100886 1.065394 +v 0.237139 0.100781 1.065114 +v 0.237666 0.101151 1.064438 +v 0.237526 0.101779 1.063762 +v 0.236802 0.102296 1.063482 +v 0.235918 0.102401 1.063762 +v 0.235392 0.102031 1.064438 +v 0.236770 0.103871 1.066952 +v 0.237272 0.103512 1.067146 +v 0.237886 0.103439 1.066952 +v 0.238251 0.103696 1.066483 +v 0.238154 0.104132 1.066014 +v 0.237652 0.104491 1.065819 +v 0.237038 0.104564 1.066014 +v 0.236673 0.104307 1.066483 +v 0.237906 0.106074 1.068565 +v 0.238187 0.105873 1.068674 +v 0.238530 0.105833 1.068565 +v 0.238734 0.105976 1.068303 +v 0.238680 0.106220 1.068041 +v 0.238399 0.106421 1.067932 +v 0.238056 0.106461 1.068041 +v 0.237852 0.106318 1.068303 +v 0.239144 0.108542 1.070403 +v 0.239204 0.108500 1.070426 +v 0.239276 0.108491 1.070403 +v 0.239319 0.108521 1.070348 +v 0.239308 0.108573 1.070293 +v 0.239249 0.108615 1.070270 +v 0.239176 0.108624 1.070293 +v 0.239133 0.108594 1.070348 +v -0.152703 0.071505 1.039183 +v -0.152591 0.071654 1.039256 +v -0.152522 0.071826 1.039183 +v -0.152535 0.071921 1.039008 +v -0.152623 0.071883 1.038833 +v -0.152734 0.071734 1.038760 +v -0.152803 0.071561 1.038833 +v -0.152791 0.071466 1.039008 +v -0.154847 0.072726 1.039985 +v -0.154744 0.072865 1.040052 +v -0.154679 0.073025 1.039985 +v -0.154691 0.073114 1.039822 +v -0.154773 0.073078 1.039659 +v -0.154876 0.072940 1.039591 +v -0.154941 0.072779 1.039659 +v -0.154929 0.072691 1.039822 +v -0.156992 0.073948 1.040786 +v -0.156896 0.074076 1.040849 +v -0.156836 0.074225 1.040786 +v -0.156847 0.074307 1.040635 +v -0.156923 0.074274 1.040484 +v -0.157019 0.074145 1.040421 +v -0.157079 0.073997 1.040484 +v -0.157068 0.073915 1.040635 +v -0.159394 0.075314 1.041685 +v -0.159302 0.075430 1.041741 +v -0.159244 0.075565 1.041683 +v -0.159254 0.075641 1.041543 +v -0.159326 0.075612 1.041405 +v -0.159418 0.075496 1.041349 +v -0.159476 0.075360 1.041408 +v -0.159466 0.075285 1.041547 +v -0.161637 0.076763 1.042608 +v -0.161549 0.076867 1.042658 +v -0.161494 0.076989 1.042603 +v -0.161503 0.077058 1.042476 +v -0.161571 0.077033 1.042351 +v -0.161659 0.076929 1.042301 +v -0.161715 0.076807 1.042355 +v -0.161706 0.076738 1.042483 +v -0.163619 0.078064 1.043431 +v -0.163548 0.078164 1.043480 +v -0.163504 0.078278 1.043433 +v -0.163513 0.078341 1.043318 +v -0.163569 0.078315 1.043202 +v -0.163639 0.078215 1.043153 +v -0.163683 0.078101 1.043200 +v -0.163674 0.078038 1.043315 +v -0.166067 0.079115 1.044181 +v -0.166025 0.079213 1.044232 +v -0.166002 0.079322 1.044194 +v -0.166011 0.079378 1.044092 +v -0.166047 0.079349 1.043984 +v -0.166088 0.079251 1.043934 +v -0.166112 0.079142 1.043971 +v -0.166103 0.079086 1.044073 +v -0.168740 0.079628 1.044694 +v -0.168723 0.079718 1.044742 +v -0.168717 0.079818 1.044712 +v -0.168726 0.079868 1.044622 +v -0.168744 0.079839 1.044523 +v -0.168761 0.079749 1.044475 +v -0.168767 0.079650 1.044505 +v -0.168758 0.079600 1.044596 +v -0.171234 0.079696 1.044971 +v -0.171227 0.079775 1.045014 +v -0.171228 0.079862 1.044989 +v -0.171236 0.079905 1.044910 +v -0.171247 0.079880 1.044824 +v -0.171254 0.079801 1.044781 +v -0.171253 0.079715 1.044806 +v -0.171245 0.079671 1.044885 +v -0.174040 0.079789 1.045292 +v -0.174029 0.079856 1.045328 +v -0.174027 0.079929 1.045306 +v -0.174033 0.079966 1.045240 +v -0.174046 0.079945 1.045167 +v -0.174056 0.079878 1.045131 +v -0.174059 0.079805 1.045153 +v -0.174052 0.079768 1.045220 +v -0.304798 0.055335 1.057408 +v -0.305523 0.057685 1.058387 +v -0.306726 0.059829 1.057408 +v -0.307704 0.060511 1.055046 +v -0.307883 0.059333 1.052683 +v -0.307159 0.056983 1.051705 +v -0.305955 0.054839 1.052683 +v -0.304978 0.054157 1.055046 +v -0.308687 0.054178 1.058113 +v -0.309251 0.056306 1.058963 +v -0.310205 0.058267 1.058058 +v -0.310990 0.058910 1.055926 +v -0.311146 0.057860 1.053818 +v -0.310582 0.055732 1.052967 +v -0.309628 0.053771 1.053873 +v -0.308844 0.053128 1.056004 +v -0.312232 0.053159 1.058722 +v -0.312829 0.054989 1.059498 +v -0.313814 0.056652 1.058743 +v -0.314612 0.057174 1.056900 +v -0.314754 0.056249 1.055048 +v -0.314157 0.054419 1.054272 +v -0.313171 0.052756 1.055027 +v -0.312374 0.052234 1.056870 +v -0.315688 0.051572 1.059631 +v -0.316392 0.053043 1.060369 +v -0.317519 0.054320 1.059818 +v -0.318408 0.054656 1.058302 +v -0.318539 0.053853 1.056708 +v -0.317835 0.052382 1.055970 +v -0.316709 0.051105 1.056520 +v -0.315820 0.050770 1.058036 +v -0.318597 0.049418 1.060809 +v -0.319327 0.050537 1.061500 +v -0.320476 0.051439 1.061142 +v -0.321371 0.051596 1.059943 +v -0.321487 0.050916 1.058607 +v -0.320757 0.049797 1.057915 +v -0.319608 0.048895 1.058274 +v -0.318714 0.048738 1.059473 +v -0.320967 0.046981 1.062106 +v -0.321599 0.047843 1.062693 +v -0.322588 0.048508 1.062441 +v -0.323356 0.048587 1.061498 +v -0.323452 0.048034 1.060416 +v -0.322821 0.047172 1.059829 +v -0.321831 0.046507 1.060081 +v -0.321063 0.046428 1.061024 +v -0.323733 0.044111 1.063658 +v -0.324205 0.044783 1.064100 +v -0.324947 0.045312 1.063896 +v -0.325523 0.045386 1.063166 +v -0.325596 0.044963 1.062337 +v -0.325124 0.044291 1.061896 +v -0.324382 0.043763 1.062100 +v -0.323806 0.043688 1.062830 +v -0.326643 0.041398 1.065135 +v -0.326964 0.041873 1.065437 +v -0.327468 0.042251 1.065289 +v -0.327861 0.042311 1.064777 +v -0.327911 0.042018 1.064202 +v -0.327590 0.041543 1.063900 +v -0.327086 0.041165 1.064049 +v -0.326694 0.041105 1.064560 +v -0.329248 0.039017 1.066417 +v -0.329427 0.039282 1.066586 +v -0.329709 0.039494 1.066503 +v -0.329929 0.039528 1.066217 +v -0.329957 0.039364 1.065895 +v -0.329778 0.039098 1.065726 +v -0.329496 0.038887 1.065809 +v -0.329276 0.038853 1.066095 +v -0.332140 0.036325 1.067882 +v -0.332178 0.036381 1.067918 +v -0.332238 0.036426 1.067900 +v -0.332284 0.036433 1.067840 +v -0.332290 0.036398 1.067772 +v -0.332252 0.036342 1.067736 +v -0.332193 0.036297 1.067753 +v -0.332146 0.036290 1.067814 +v -0.293851 0.111937 1.080668 +v -0.291969 0.113608 1.081489 +v -0.291063 0.115955 1.080668 +v -0.291663 0.117603 1.078687 +v -0.293417 0.117588 1.076706 +v -0.295298 0.115918 1.075886 +v -0.296205 0.113571 1.076706 +v -0.295605 0.111922 1.078687 +v -0.295496 0.113400 1.081923 +v -0.293817 0.114890 1.082655 +v -0.293009 0.116984 1.081923 +v -0.293544 0.118455 1.080156 +v -0.295109 0.118441 1.078388 +v -0.296787 0.116951 1.077656 +v -0.297596 0.114857 1.078388 +v -0.297061 0.113387 1.080156 +v -0.297140 0.114863 1.083178 +v -0.295665 0.116172 1.083821 +v -0.294954 0.118013 1.083178 +v -0.295425 0.119306 1.081624 +v -0.296800 0.119294 1.080071 +v -0.298276 0.117984 1.079427 +v -0.298987 0.116144 1.080071 +v -0.298516 0.114851 1.081624 +v -0.298983 0.116463 1.084607 +v -0.297711 0.117592 1.085162 +v -0.297098 0.119179 1.084607 +v -0.297504 0.120294 1.083267 +v -0.298690 0.120284 1.081927 +v -0.299963 0.119155 1.081372 +v -0.300575 0.117567 1.081927 +v -0.300170 0.116452 1.083267 +v -0.300760 0.118017 1.085978 +v -0.299691 0.118966 1.086444 +v -0.299176 0.120300 1.085978 +v -0.299517 0.121237 1.084852 +v -0.300514 0.121229 1.083726 +v -0.301583 0.120279 1.083260 +v -0.302098 0.118945 1.083726 +v -0.301757 0.118008 1.084852 +v -0.302339 0.119434 1.087175 +v -0.301473 0.120203 1.087553 +v -0.301055 0.121283 1.087175 +v -0.301332 0.122043 1.086262 +v -0.302140 0.122036 1.085350 +v -0.303006 0.121267 1.084972 +v -0.303423 0.120186 1.085350 +v -0.303147 0.119427 1.086262 +v -0.304116 0.120988 1.088546 +v -0.303453 0.121577 1.088835 +v -0.303133 0.122404 1.088546 +v -0.303345 0.122986 1.087847 +v -0.303963 0.122980 1.087149 +v -0.304627 0.122391 1.086859 +v -0.304946 0.121564 1.087149 +v -0.304735 0.120982 1.087847 +v -0.305893 0.122542 1.089917 +v -0.305433 0.122951 1.090118 +v -0.305211 0.123525 1.089917 +v -0.305358 0.123928 1.089432 +v -0.305787 0.123925 1.088947 +v -0.306247 0.123516 1.088746 +v -0.306469 0.122942 1.088947 +v -0.306322 0.122538 1.089432 +v -0.307472 0.123959 1.091114 +v -0.307215 0.124187 1.091226 +v -0.307091 0.124508 1.091114 +v -0.307173 0.124734 1.090842 +v -0.307413 0.124732 1.090571 +v -0.307670 0.124503 1.090459 +v -0.307794 0.124182 1.090571 +v -0.307712 0.123957 1.090842 +v -0.309249 0.125513 1.092485 +v -0.309194 0.125561 1.092508 +v -0.309168 0.125629 1.092485 +v -0.309186 0.125677 1.092427 +v -0.309236 0.125676 1.092370 +v -0.309291 0.125628 1.092346 +v -0.309317 0.125560 1.092370 +v -0.309300 0.125512 1.092427 +v -0.317995 -0.000077 1.108958 +v -0.316906 0.002124 1.109946 +v -0.316231 0.004484 1.108958 +v -0.316364 0.005621 1.106573 +v -0.317228 0.004869 1.104187 +v -0.318316 0.002669 1.103199 +v -0.318991 0.000309 1.104187 +v -0.318858 -0.000828 1.106573 +v -0.321972 0.001744 1.109666 +v -0.321001 0.003707 1.110548 +v -0.320398 0.005813 1.109666 +v -0.320517 0.006827 1.107538 +v -0.321288 0.006156 1.105410 +v -0.322259 0.004193 1.104528 +v -0.322861 0.002088 1.105410 +v -0.322742 0.001073 1.107538 +v -0.325949 0.003565 1.110374 +v -0.325095 0.005290 1.111149 +v -0.324566 0.007141 1.110374 +v -0.324670 0.008033 1.108503 +v -0.325348 0.007443 1.106632 +v -0.326201 0.005718 1.105857 +v -0.326730 0.003867 1.106632 +v -0.326626 0.002975 1.108503 +v -0.330403 0.005570 1.111196 +v -0.329667 0.007058 1.111864 +v -0.329210 0.008654 1.111196 +v -0.329300 0.009423 1.109583 +v -0.329884 0.008915 1.107969 +v -0.330620 0.007427 1.107301 +v -0.331077 0.005831 1.107969 +v -0.330987 0.005061 1.109583 +v -0.334698 0.007513 1.111980 +v -0.334079 0.008764 1.112542 +v -0.333695 0.010106 1.111980 +v -0.333771 0.010752 1.110624 +v -0.334262 0.010325 1.109268 +v -0.334880 0.009074 1.108706 +v -0.335264 0.007733 1.109268 +v -0.335189 0.007086 1.110624 +v -0.338516 0.009273 1.112650 +v -0.338015 0.010286 1.113105 +v -0.337704 0.011373 1.112650 +v -0.337765 0.011897 1.111551 +v -0.338163 0.011550 1.110452 +v -0.338664 0.010537 1.109997 +v -0.338975 0.009450 1.110452 +v -0.338913 0.008926 1.111551 +v -0.342811 0.011216 1.113434 +v -0.342427 0.011992 1.113782 +v -0.342189 0.012824 1.113434 +v -0.342236 0.013225 1.112593 +v -0.342540 0.012960 1.111751 +v -0.342924 0.012184 1.111403 +v -0.343162 0.011352 1.111751 +v -0.343115 0.010951 1.112593 +v -0.347106 0.013160 1.114218 +v -0.346839 0.013698 1.114460 +v -0.346674 0.014276 1.114218 +v -0.346707 0.014554 1.113634 +v -0.346918 0.014370 1.113050 +v -0.347184 0.013832 1.112808 +v -0.347350 0.013254 1.113050 +v -0.347317 0.012976 1.113634 +v -0.350924 0.014919 1.114887 +v -0.350775 0.015220 1.115023 +v -0.350683 0.015543 1.114887 +v -0.350701 0.015699 1.114561 +v -0.350819 0.015596 1.114235 +v -0.350968 0.015295 1.114100 +v -0.351060 0.014972 1.114235 +v -0.351042 0.014816 1.114561 +v -0.355219 0.016863 1.115672 +v -0.355187 0.016926 1.115700 +v -0.355168 0.016995 1.115672 +v -0.355172 0.017028 1.115603 +v -0.355197 0.017006 1.115534 +v -0.355228 0.016942 1.115505 +v -0.355248 0.016874 1.115534 +v -0.355244 0.016841 1.115603 +v -0.186150 -0.114358 1.146761 +v -0.186285 -0.112478 1.147490 +v -0.186922 -0.110704 1.146761 +v -0.187688 -0.110075 1.144999 +v -0.188134 -0.110960 1.143238 +v -0.188000 -0.112840 1.142508 +v -0.187363 -0.114614 1.143238 +v -0.186596 -0.115243 1.144999 +v -0.187756 -0.114493 1.147112 +v -0.187877 -0.112814 1.147763 +v -0.188446 -0.111230 1.147112 +v -0.189130 -0.110668 1.145538 +v -0.189528 -0.111459 1.143965 +v -0.189408 -0.113138 1.143313 +v -0.188839 -0.114722 1.143965 +v -0.188155 -0.115284 1.145538 +v -0.189362 -0.114629 1.147462 +v -0.189468 -0.113150 1.148036 +v -0.189969 -0.111756 1.147462 +v -0.190571 -0.111261 1.146078 +v -0.190922 -0.111957 1.144693 +v -0.190816 -0.113435 1.144119 +v -0.190315 -0.114830 1.144693 +v -0.189713 -0.115324 1.146078 +v -0.191146 -0.114801 1.147877 +v -0.191238 -0.113524 1.148373 +v -0.191671 -0.112319 1.147877 +v -0.192191 -0.111892 1.146681 +v -0.192494 -0.112493 1.145484 +v -0.192403 -0.113770 1.144988 +v -0.191970 -0.114975 1.145484 +v -0.191450 -0.115402 1.146681 +v -0.192871 -0.114962 1.148271 +v -0.192948 -0.113886 1.148688 +v -0.193313 -0.112870 1.148271 +v -0.193751 -0.112510 1.147262 +v -0.194007 -0.113017 1.146254 +v -0.193930 -0.114093 1.145836 +v -0.193565 -0.115108 1.146254 +v -0.193127 -0.115468 1.147262 +v -0.194418 -0.115084 1.148600 +v -0.194481 -0.114209 1.148940 +v -0.194777 -0.113384 1.148600 +v -0.195134 -0.113091 1.147780 +v -0.195341 -0.113503 1.146960 +v -0.195279 -0.114378 1.146621 +v -0.194982 -0.115204 1.146960 +v -0.194626 -0.115496 1.147780 +v -0.196143 -0.115245 1.148994 +v -0.196191 -0.114571 1.149255 +v -0.196419 -0.113934 1.148994 +v -0.196694 -0.113709 1.148362 +v -0.196854 -0.114026 1.147730 +v -0.196806 -0.114700 1.147469 +v -0.196577 -0.115337 1.147730 +v -0.196303 -0.115562 1.148362 +v -0.197867 -0.115405 1.149387 +v -0.197901 -0.114932 1.149571 +v -0.198062 -0.114485 1.149387 +v -0.198254 -0.114327 1.148944 +v -0.198367 -0.114550 1.148501 +v -0.198333 -0.115023 1.148317 +v -0.198172 -0.115469 1.148501 +v -0.197980 -0.115628 1.148944 +v -0.199414 -0.115528 1.149717 +v -0.199434 -0.115256 1.149822 +v -0.199526 -0.114999 1.149717 +v -0.199637 -0.114908 1.149462 +v -0.199701 -0.115036 1.149207 +v -0.199682 -0.115308 1.149101 +v -0.199590 -0.115565 1.149207 +v -0.199479 -0.115656 1.149462 +v -0.201139 -0.115688 1.150110 +v -0.201144 -0.115617 1.150138 +v -0.201168 -0.115550 1.150110 +v -0.201197 -0.115526 1.150043 +v -0.201214 -0.115559 1.149977 +v -0.201209 -0.115631 1.149949 +v -0.201185 -0.115698 1.149977 +v -0.201156 -0.115722 1.150043 +v -0.118149 -0.186298 1.195688 +v -0.119755 -0.185252 1.196330 +v -0.121657 -0.185016 1.195688 +v -0.122741 -0.185728 1.194138 +v -0.122372 -0.186972 1.192588 +v -0.120766 -0.188018 1.191946 +v -0.118864 -0.188254 1.192588 +v -0.117780 -0.187541 1.194138 +v -0.118815 -0.187828 1.196502 +v -0.120278 -0.186981 1.197135 +v -0.121995 -0.186825 1.196599 +v -0.122960 -0.187452 1.195209 +v -0.122608 -0.188495 1.193778 +v -0.121145 -0.189343 1.193145 +v -0.119429 -0.189499 1.193681 +v -0.118463 -0.188871 1.195071 +v -0.119507 -0.189435 1.197369 +v -0.120758 -0.188582 1.197852 +v -0.122246 -0.188378 1.197333 +v -0.123100 -0.188941 1.196117 +v -0.122818 -0.189942 1.194915 +v -0.121567 -0.190795 1.194433 +v -0.120079 -0.191000 1.194951 +v -0.119226 -0.190436 1.196168 +v -0.120526 -0.191023 1.198503 +v -0.121504 -0.190093 1.198755 +v -0.122724 -0.189794 1.198202 +v -0.123472 -0.190300 1.197168 +v -0.123309 -0.191316 1.196259 +v -0.122331 -0.192246 1.196007 +v -0.121111 -0.192545 1.196560 +v -0.120363 -0.192039 1.197594 +v -0.121819 -0.192196 1.199699 +v -0.122524 -0.191281 1.199757 +v -0.123477 -0.190945 1.199194 +v -0.124120 -0.191385 1.198338 +v -0.124075 -0.192343 1.197691 +v -0.123370 -0.193258 1.197633 +v -0.122417 -0.193594 1.198196 +v -0.121775 -0.193154 1.199052 +v -0.123154 -0.192953 1.200760 +v -0.123681 -0.192174 1.200754 +v -0.124426 -0.191878 1.200261 +v -0.124953 -0.192239 1.199571 +v -0.124954 -0.193046 1.199087 +v -0.124427 -0.193826 1.199093 +v -0.123682 -0.194122 1.199586 +v -0.123155 -0.193760 1.200276 +v -0.124591 -0.193792 1.201940 +v -0.125010 -0.193201 1.201950 +v -0.125593 -0.192979 1.201581 +v -0.125998 -0.193257 1.201047 +v -0.125987 -0.193871 1.200663 +v -0.125568 -0.194462 1.200652 +v -0.124985 -0.194684 1.201022 +v -0.124581 -0.194406 1.201555 +v -0.125963 -0.194723 1.203102 +v -0.126265 -0.194314 1.203119 +v -0.126680 -0.194162 1.202866 +v -0.126963 -0.194357 1.202491 +v -0.126949 -0.194783 1.202213 +v -0.126646 -0.195191 1.202196 +v -0.126232 -0.195343 1.202449 +v -0.125949 -0.195149 1.202825 +v -0.127210 -0.195555 1.204121 +v -0.127385 -0.195320 1.204131 +v -0.127623 -0.195233 1.203985 +v -0.127786 -0.195345 1.203769 +v -0.127778 -0.195590 1.203609 +v -0.127604 -0.195825 1.203599 +v -0.127365 -0.195912 1.203745 +v -0.127203 -0.195800 1.203961 +v -0.128587 -0.196489 1.205288 +v -0.128632 -0.196428 1.205291 +v -0.128694 -0.196405 1.205253 +v -0.128737 -0.196434 1.205196 +v -0.128735 -0.196498 1.205155 +v -0.128689 -0.196560 1.205152 +v -0.128627 -0.196582 1.205190 +v -0.128585 -0.196553 1.205247 +v 0.179284 -0.026344 1.272153 +v 0.177205 -0.027949 1.272474 +v 0.176774 -0.030540 1.272153 +v 0.178244 -0.032599 1.271380 +v 0.180754 -0.032921 1.270606 +v 0.182834 -0.031317 1.270286 +v 0.183265 -0.028725 1.270606 +v 0.181794 -0.026666 1.271380 +v 0.179861 -0.026996 1.273806 +v 0.178005 -0.028428 1.274092 +v 0.177621 -0.030739 1.273806 +v 0.178932 -0.032577 1.273116 +v 0.181172 -0.032864 1.272425 +v 0.183027 -0.031432 1.272139 +v 0.183411 -0.029121 1.272425 +v 0.182100 -0.027283 1.273116 +v 0.180437 -0.027648 1.275458 +v 0.178806 -0.028907 1.275709 +v 0.178468 -0.030939 1.275458 +v 0.179621 -0.032554 1.274851 +v 0.181589 -0.032806 1.274244 +v 0.183220 -0.031548 1.273993 +v 0.183558 -0.029516 1.274244 +v 0.182405 -0.027901 1.274851 +v 0.181072 -0.028336 1.277316 +v 0.179665 -0.029421 1.277533 +v 0.179374 -0.031173 1.277316 +v 0.180368 -0.032566 1.276793 +v 0.182066 -0.032784 1.276269 +v 0.183472 -0.031699 1.276053 +v 0.183764 -0.029946 1.276269 +v 0.182769 -0.028553 1.276793 +v 0.181687 -0.029011 1.279106 +v 0.180505 -0.029923 1.279288 +v 0.180260 -0.031396 1.279106 +v 0.181096 -0.032567 1.278666 +v 0.182523 -0.032750 1.278226 +v 0.183705 -0.031838 1.278044 +v 0.183950 -0.030365 1.278226 +v 0.183114 -0.029194 1.278666 +v 0.182244 -0.029652 1.280689 +v 0.181286 -0.030391 1.280837 +v 0.181088 -0.031584 1.280689 +v 0.181765 -0.032533 1.280333 +v 0.182921 -0.032681 1.279976 +v 0.183878 -0.031942 1.279829 +v 0.184077 -0.030748 1.279976 +v 0.183400 -0.029800 1.280333 +v 0.182859 -0.030327 1.282479 +v 0.182126 -0.030893 1.282592 +v 0.181974 -0.031807 1.282479 +v 0.182493 -0.032533 1.282206 +v 0.183378 -0.032647 1.281933 +v 0.184111 -0.032081 1.281820 +v 0.184263 -0.031167 1.281933 +v 0.183745 -0.030441 1.282206 +v 0.183475 -0.031003 1.284268 +v 0.182966 -0.031396 1.284346 +v 0.182861 -0.032030 1.284268 +v 0.183220 -0.032534 1.284079 +v 0.183835 -0.032613 1.283889 +v 0.184343 -0.032220 1.283811 +v 0.184449 -0.031586 1.283889 +v 0.184089 -0.031082 1.284079 +v 0.184031 -0.031644 1.285852 +v 0.183747 -0.031863 1.285895 +v 0.183688 -0.032218 1.285852 +v 0.183889 -0.032499 1.285746 +v 0.184233 -0.032543 1.285640 +v 0.184517 -0.032324 1.285596 +v 0.184576 -0.031969 1.285640 +v 0.184375 -0.031688 1.285746 +v 0.184647 -0.032319 1.287641 +v 0.184587 -0.032366 1.287650 +v 0.184574 -0.032441 1.287641 +v 0.184617 -0.032500 1.287619 +v 0.184689 -0.032509 1.287596 +v 0.184750 -0.032463 1.287587 +v 0.184762 -0.032388 1.287596 +v 0.184720 -0.032329 1.287619 +v 0.194264 0.100539 1.173264 +v 0.195912 0.099575 1.173974 +v 0.197145 0.098118 1.173264 +v 0.197241 0.097021 1.171551 +v 0.196144 0.096926 1.169838 +v 0.194495 0.097890 1.169128 +v 0.193262 0.099347 1.169838 +v 0.193166 0.100444 1.171551 +v 0.196212 0.102546 1.171776 +v 0.197684 0.101685 1.172409 +v 0.198786 0.100383 1.171776 +v 0.198872 0.099403 1.170246 +v 0.197891 0.099319 1.168715 +v 0.196420 0.100180 1.168082 +v 0.195318 0.101481 1.168715 +v 0.195232 0.102461 1.170246 +v 0.198161 0.104552 1.170287 +v 0.199457 0.103795 1.170845 +v 0.200426 0.102649 1.170287 +v 0.200502 0.101786 1.168940 +v 0.199639 0.101712 1.167593 +v 0.198344 0.102470 1.167035 +v 0.197374 0.103615 1.167593 +v 0.197298 0.104478 1.168940 +v 0.200329 0.106820 1.168643 +v 0.201449 0.106165 1.169125 +v 0.202286 0.105176 1.168643 +v 0.202352 0.104430 1.167480 +v 0.201606 0.104366 1.166316 +v 0.200487 0.105021 1.165834 +v 0.199649 0.106010 1.166316 +v 0.199584 0.106756 1.167480 +v 0.202424 0.109001 1.167052 +v 0.203368 0.108449 1.167458 +v 0.204073 0.107615 1.167052 +v 0.204128 0.106987 1.166071 +v 0.203500 0.106933 1.165091 +v 0.202557 0.107484 1.164685 +v 0.201851 0.108318 1.165091 +v 0.201796 0.108946 1.166071 +v 0.204300 0.110920 1.165615 +v 0.205067 0.110472 1.165945 +v 0.205641 0.109794 1.165615 +v 0.205686 0.109283 1.164817 +v 0.205175 0.109239 1.164020 +v 0.204408 0.109687 1.163690 +v 0.203834 0.110366 1.164020 +v 0.203789 0.110876 1.164817 +v 0.206395 0.113101 1.164023 +v 0.206986 0.112755 1.164277 +v 0.207428 0.112233 1.164023 +v 0.207462 0.111840 1.163409 +v 0.207069 0.111806 1.162795 +v 0.206478 0.112151 1.162540 +v 0.206036 0.112674 1.162795 +v 0.206002 0.113067 1.163409 +v 0.208490 0.115281 1.162431 +v 0.208905 0.115039 1.162609 +v 0.209215 0.114673 1.162431 +v 0.209239 0.114397 1.162000 +v 0.208963 0.114373 1.161569 +v 0.208548 0.114615 1.161391 +v 0.208238 0.114982 1.161569 +v 0.208214 0.115258 1.162000 +v 0.210366 0.117201 1.160994 +v 0.210604 0.117062 1.161096 +v 0.210782 0.116851 1.160994 +v 0.210796 0.116693 1.160746 +v 0.210637 0.116679 1.160499 +v 0.210399 0.116818 1.160396 +v 0.210221 0.117029 1.160499 +v 0.210207 0.117187 1.160746 +v 0.212461 0.119382 1.159402 +v 0.212523 0.119346 1.159429 +v 0.212569 0.119291 1.159402 +v 0.212573 0.119250 1.159338 +v 0.212531 0.119246 1.159273 +v 0.212470 0.119282 1.159247 +v 0.212423 0.119337 1.159273 +v 0.212420 0.119378 1.159338 +v 0.149775 -0.083356 1.241907 +v 0.147512 -0.082405 1.242894 +v 0.145111 -0.081891 1.241907 +v 0.143979 -0.082115 1.239526 +v 0.144779 -0.082946 1.237144 +v 0.147043 -0.083898 1.236158 +v 0.149444 -0.084412 1.237144 +v 0.150576 -0.084187 1.239526 +v 0.148563 -0.086334 1.242381 +v 0.146544 -0.085485 1.243261 +v 0.144402 -0.085027 1.242381 +v 0.143392 -0.085227 1.240257 +v 0.144106 -0.085969 1.238132 +v 0.146126 -0.086817 1.237252 +v 0.148268 -0.087276 1.238132 +v 0.149277 -0.087076 1.240257 +v 0.147351 -0.089312 1.242855 +v 0.145576 -0.088566 1.243628 +v 0.143693 -0.088163 1.242855 +v 0.142806 -0.088339 1.240987 +v 0.143433 -0.088991 1.239120 +v 0.145208 -0.089737 1.238346 +v 0.147091 -0.090140 1.239120 +v 0.147979 -0.089964 1.240987 +v 0.146028 -0.092646 1.243415 +v 0.144497 -0.092003 1.244082 +v 0.142873 -0.091655 1.243415 +v 0.142107 -0.091807 1.241805 +v 0.142648 -0.092369 1.240194 +v 0.144179 -0.093013 1.239527 +v 0.145803 -0.093360 1.240194 +v 0.146569 -0.093209 1.241805 +v 0.144741 -0.095862 1.243947 +v 0.143454 -0.095321 1.244507 +v 0.142090 -0.095029 1.243947 +v 0.141446 -0.095157 1.242593 +v 0.141901 -0.095629 1.241239 +v 0.143188 -0.096170 1.240679 +v 0.144553 -0.096462 1.241239 +v 0.145196 -0.096334 1.242593 +v 0.143566 -0.098721 1.244391 +v 0.142524 -0.098283 1.244846 +v 0.141418 -0.098047 1.244391 +v 0.140897 -0.098150 1.243295 +v 0.141265 -0.098533 1.242198 +v 0.142308 -0.098971 1.241744 +v 0.143414 -0.099208 1.242198 +v 0.143935 -0.099104 1.243295 +v 0.142280 -0.101937 1.244923 +v 0.141482 -0.101601 1.245271 +v 0.140635 -0.101420 1.244923 +v 0.140236 -0.101499 1.244083 +v 0.140518 -0.101793 1.243244 +v 0.141316 -0.102128 1.242896 +v 0.142163 -0.102309 1.243244 +v 0.142562 -0.102230 1.244083 +v 0.140993 -0.105152 1.245455 +v 0.140439 -0.104920 1.245696 +v 0.139852 -0.104794 1.245455 +v 0.139575 -0.104849 1.244872 +v 0.139771 -0.105052 1.244289 +v 0.140325 -0.105285 1.244048 +v 0.140912 -0.105411 1.244289 +v 0.141189 -0.105356 1.244872 +v 0.139819 -0.108012 1.245899 +v 0.139509 -0.107882 1.246034 +v 0.139180 -0.107811 1.245899 +v 0.139025 -0.107842 1.245574 +v 0.139135 -0.107956 1.245248 +v 0.139445 -0.108086 1.245113 +v 0.139773 -0.108156 1.245248 +v 0.139928 -0.108126 1.245574 +v 0.138532 -0.111227 1.246431 +v 0.138467 -0.111200 1.246460 +v 0.138397 -0.111185 1.246431 +v 0.138364 -0.111192 1.246362 +v 0.138388 -0.111216 1.246293 +v 0.138453 -0.111243 1.246265 +v 0.138522 -0.111258 1.246293 +v 0.138555 -0.111251 1.246362 +v -0.031687 0.168640 1.286139 +v -0.031504 0.168606 1.286209 +v -0.031320 0.168630 1.286139 +v -0.031242 0.168699 1.285969 +v -0.031316 0.168771 1.285800 +v -0.031499 0.168805 1.285729 +v -0.031683 0.168781 1.285800 +v -0.031761 0.168712 1.285969 +v -0.031606 0.171246 1.287208 +v -0.031435 0.171214 1.287273 +v -0.031263 0.171237 1.287208 +v -0.031191 0.171301 1.287050 +v -0.031260 0.171368 1.286891 +v -0.031430 0.171400 1.286826 +v -0.031602 0.171377 1.286891 +v -0.031675 0.171314 1.287050 +v -0.031524 0.173852 1.288276 +v -0.031366 0.173823 1.288337 +v -0.031207 0.173844 1.288276 +v -0.031140 0.173903 1.288130 +v -0.031204 0.173965 1.287983 +v -0.031362 0.173995 1.287923 +v -0.031521 0.173974 1.287983 +v -0.031588 0.173915 1.288130 +v -0.031435 0.176767 1.289473 +v -0.031289 0.176740 1.289529 +v -0.031142 0.176759 1.289473 +v -0.031080 0.176814 1.289338 +v -0.031139 0.176871 1.289203 +v -0.031285 0.176898 1.289147 +v -0.031432 0.176879 1.289203 +v -0.031494 0.176825 1.289338 +v -0.031348 0.179579 1.290627 +v -0.031215 0.179554 1.290679 +v -0.031081 0.179572 1.290627 +v -0.031024 0.179621 1.290504 +v -0.031078 0.179674 1.290381 +v -0.031211 0.179699 1.290330 +v -0.031345 0.179681 1.290381 +v -0.031402 0.179631 1.290504 +v -0.031269 0.182082 1.291653 +v -0.031148 0.182060 1.291700 +v -0.031027 0.182076 1.291653 +v -0.030976 0.182121 1.291542 +v -0.031025 0.182168 1.291430 +v -0.031145 0.182191 1.291384 +v -0.031266 0.182175 1.291430 +v -0.031318 0.182130 1.291542 +v -0.031182 0.184894 1.292807 +v -0.031074 0.184874 1.292849 +v -0.030965 0.184888 1.292807 +v -0.030919 0.184928 1.292707 +v -0.030963 0.184971 1.292607 +v -0.031071 0.184991 1.292566 +v -0.031180 0.184977 1.292607 +v -0.031226 0.184937 1.292707 +v -0.031095 0.187706 1.293962 +v -0.031000 0.187688 1.293998 +v -0.030904 0.187701 1.293962 +v -0.030863 0.187736 1.293873 +v -0.030902 0.187774 1.293784 +v -0.030997 0.187792 1.293748 +v -0.031093 0.187779 1.293784 +v -0.031134 0.187744 1.293873 +v -0.031016 0.190209 1.294988 +v -0.030934 0.190193 1.295019 +v -0.030850 0.190205 1.294988 +v -0.030815 0.190235 1.294911 +v -0.030848 0.190268 1.294834 +v -0.030931 0.190284 1.294802 +v -0.031015 0.190273 1.294834 +v -0.031050 0.190242 1.294911 +v -0.030930 0.193021 1.296142 +v -0.030859 0.193008 1.296169 +v -0.030788 0.193017 1.296142 +v -0.030758 0.193043 1.296076 +v -0.030787 0.193071 1.296011 +v -0.030857 0.193084 1.295984 +v -0.030928 0.193075 1.296011 +v -0.030958 0.193049 1.296076 +v -0.021002 0.320230 1.317157 +v -0.019221 0.318526 1.318118 +v -0.017062 0.317335 1.317157 +v -0.015790 0.317356 1.314836 +v -0.016151 0.318575 1.312516 +v -0.017933 0.320279 1.311554 +v -0.020092 0.321470 1.312516 +v -0.021363 0.321449 1.314836 +v -0.017913 0.323990 1.318489 +v -0.016324 0.322470 1.319347 +v -0.014398 0.321408 1.318489 +v -0.013264 0.321426 1.316419 +v -0.013585 0.322514 1.314349 +v -0.015175 0.324034 1.313491 +v -0.017101 0.325096 1.314349 +v -0.018235 0.325078 1.316419 +v -0.014824 0.327750 1.319822 +v -0.013427 0.326413 1.320576 +v -0.011734 0.325480 1.319822 +v -0.010737 0.325496 1.318002 +v -0.011020 0.326452 1.316182 +v -0.012417 0.327788 1.315428 +v -0.014110 0.328722 1.316182 +v -0.015107 0.328706 1.318002 +v -0.011400 0.331966 1.321342 +v -0.010195 0.330814 1.321992 +v -0.008735 0.330009 1.321342 +v -0.007875 0.330022 1.319773 +v -0.008119 0.330847 1.318203 +v -0.009324 0.332000 1.317553 +v -0.010784 0.332805 1.318203 +v -0.011644 0.332791 1.319773 +v -0.008087 0.336031 1.322800 +v -0.007074 0.335062 1.323346 +v -0.005847 0.334385 1.322800 +v -0.005125 0.334397 1.321481 +v -0.005330 0.335090 1.320162 +v -0.006342 0.336059 1.319615 +v -0.007570 0.336735 1.320162 +v -0.008292 0.336724 1.321481 +v -0.005110 0.339638 1.324070 +v -0.004290 0.338853 1.324512 +v -0.003295 0.338305 1.324070 +v -0.002710 0.338315 1.323001 +v -0.002876 0.338876 1.321932 +v -0.003696 0.339661 1.321490 +v -0.004691 0.340209 1.321932 +v -0.005276 0.340200 1.323001 +v -0.001797 0.343702 1.325527 +v -0.001169 0.343102 1.325866 +v -0.000408 0.342682 1.325527 +v 0.000040 0.342689 1.324709 +v -0.000087 0.343119 1.323891 +v -0.000715 0.343720 1.323552 +v -0.001476 0.344140 1.323891 +v -0.001925 0.344132 1.324709 +v 0.001515 0.347767 1.326985 +v 0.001951 0.347350 1.327220 +v 0.002480 0.347058 1.326985 +v 0.002791 0.347063 1.326417 +v 0.002702 0.347362 1.325849 +v 0.002266 0.347779 1.325614 +v 0.001738 0.348070 1.325849 +v 0.001427 0.348065 1.326417 +v 0.004492 0.351374 1.328255 +v 0.004736 0.351141 1.328387 +v 0.005032 0.350978 1.328255 +v 0.005206 0.350981 1.327938 +v 0.005156 0.351148 1.327620 +v 0.004912 0.351381 1.327489 +v 0.004617 0.351544 1.327620 +v 0.004443 0.351541 1.327938 +v 0.007805 0.355439 1.329713 +v 0.007857 0.355389 1.329741 +v 0.007919 0.355355 1.329713 +v 0.007956 0.355355 1.329646 +v 0.007945 0.355391 1.329579 +v 0.007894 0.355440 1.329551 +v 0.007831 0.355474 1.329579 +v 0.007795 0.355474 1.329646 +v -0.094672 0.306825 1.291109 +v -0.092943 0.308392 1.292072 +v -0.091115 0.309844 1.291109 +v -0.090260 0.310329 1.288784 +v -0.090878 0.309564 1.286459 +v -0.092607 0.307997 1.285496 +v -0.094435 0.306546 1.286459 +v -0.095290 0.306061 1.288784 +v -0.096303 0.309136 1.290635 +v -0.094760 0.310534 1.291494 +v -0.093130 0.311829 1.290635 +v -0.092367 0.312262 1.288560 +v -0.092918 0.311580 1.286486 +v -0.094461 0.310182 1.285626 +v -0.096092 0.308887 1.286486 +v -0.096855 0.308454 1.288560 +v -0.097934 0.311447 1.290161 +v -0.096578 0.312676 1.290916 +v -0.095144 0.313815 1.290161 +v -0.094473 0.314195 1.288337 +v -0.094958 0.313595 1.286513 +v -0.096315 0.312366 1.285757 +v -0.097748 0.311228 1.286513 +v -0.098419 0.310847 1.288337 +v -0.099783 0.314014 1.289660 +v -0.098613 0.315075 1.290312 +v -0.097376 0.316057 1.289660 +v -0.096797 0.316385 1.288087 +v -0.097216 0.315868 1.286513 +v -0.098386 0.314807 1.285861 +v -0.099623 0.313825 1.286513 +v -0.100202 0.313497 1.288087 +v -0.101560 0.316496 1.289168 +v -0.100576 0.317388 1.289716 +v -0.099536 0.318213 1.289168 +v -0.099049 0.318490 1.287845 +v -0.099401 0.318054 1.286522 +v -0.100385 0.317163 1.285974 +v -0.101425 0.316337 1.286522 +v -0.101911 0.316061 1.287845 +v -0.103118 0.318721 1.288703 +v -0.102321 0.319444 1.289147 +v -0.101478 0.320113 1.288703 +v -0.101083 0.320337 1.287631 +v -0.101368 0.319984 1.286558 +v -0.102166 0.319262 1.286114 +v -0.103009 0.318592 1.286558 +v -0.103403 0.318368 1.287631 +v -0.104895 0.321203 1.288211 +v -0.104283 0.321757 1.288552 +v -0.103637 0.322270 1.288211 +v -0.103335 0.322442 1.287389 +v -0.103553 0.322171 1.286567 +v -0.104165 0.321617 1.286227 +v -0.104811 0.321104 1.286567 +v -0.105113 0.320933 1.287389 +v -0.106671 0.323685 1.287719 +v -0.106246 0.324070 1.287956 +v -0.105797 0.324427 1.287719 +v -0.105587 0.324546 1.287148 +v -0.105739 0.324358 1.286577 +v -0.106164 0.323973 1.286340 +v -0.106613 0.323616 1.286577 +v -0.106823 0.323497 1.287148 +v -0.108230 0.325910 1.287254 +v -0.107991 0.326126 1.287387 +v -0.107739 0.326327 1.287254 +v -0.107621 0.326394 1.286933 +v -0.107706 0.326288 1.286612 +v -0.107945 0.326072 1.286479 +v -0.108197 0.325871 1.286612 +v -0.108315 0.325804 1.286933 +v -0.110006 0.328392 1.286762 +v -0.109954 0.328439 1.286792 +v -0.109898 0.328483 1.286762 +v -0.109872 0.328498 1.286692 +v -0.109891 0.328475 1.286621 +v -0.109943 0.328427 1.286592 +v -0.109999 0.328383 1.286621 +v -0.110025 0.328368 1.286692 +v -0.215222 0.228584 1.306307 +v -0.213364 0.230190 1.307291 +v -0.211230 0.231408 1.306307 +v -0.210071 0.231523 1.303931 +v -0.210566 0.230469 1.301555 +v -0.212424 0.228862 1.300570 +v -0.214557 0.227644 1.301555 +v -0.215716 0.227529 1.303931 +v -0.216259 0.230506 1.305511 +v -0.214601 0.231939 1.306389 +v -0.212698 0.233025 1.305511 +v -0.211664 0.233128 1.303391 +v -0.212105 0.232187 1.301271 +v -0.213763 0.230754 1.300393 +v -0.215666 0.229668 1.301271 +v -0.216700 0.229565 1.303391 +v -0.217295 0.232428 1.304714 +v -0.215838 0.233688 1.305486 +v -0.214165 0.234643 1.304714 +v -0.213257 0.234733 1.302851 +v -0.213644 0.233906 1.300988 +v -0.215101 0.232646 1.300216 +v -0.216774 0.231691 1.300988 +v -0.217683 0.231601 1.302851 +v -0.218485 0.234566 1.303854 +v -0.217229 0.235652 1.304520 +v -0.215786 0.236476 1.303854 +v -0.215002 0.236554 1.302247 +v -0.215336 0.235841 1.300640 +v -0.216593 0.234754 1.299974 +v -0.218036 0.233930 1.300640 +v -0.218819 0.233853 1.302247 +v -0.219624 0.236632 1.303015 +v -0.218568 0.237545 1.303574 +v -0.217355 0.238237 1.303015 +v -0.216696 0.238303 1.301664 +v -0.216977 0.237703 1.300314 +v -0.218033 0.236790 1.299754 +v -0.219246 0.236098 1.300314 +v -0.219905 0.236032 1.301664 +v -0.220610 0.238482 1.302240 +v -0.219754 0.239222 1.302693 +v -0.218772 0.239782 1.302240 +v -0.218238 0.239835 1.301146 +v -0.218466 0.239350 1.300052 +v -0.219321 0.238610 1.299598 +v -0.220304 0.238049 1.300052 +v -0.220837 0.237996 1.301146 +v -0.221749 0.240548 1.301401 +v -0.221093 0.241114 1.301748 +v -0.220341 0.241544 1.301401 +v -0.219932 0.241584 1.300563 +v -0.220107 0.241212 1.299725 +v -0.220762 0.240646 1.299378 +v -0.221514 0.240217 1.299725 +v -0.221923 0.240176 1.300563 +v -0.222887 0.242614 1.300562 +v -0.222433 0.243007 1.300803 +v -0.221910 0.243305 1.300562 +v -0.221627 0.243333 1.299981 +v -0.221748 0.243075 1.299399 +v -0.222203 0.242682 1.299158 +v -0.222725 0.242384 1.299399 +v -0.223008 0.242356 1.299981 +v -0.223873 0.244464 1.299787 +v -0.223619 0.244684 1.299922 +v -0.223327 0.244850 1.299787 +v -0.223168 0.244866 1.299462 +v -0.223236 0.244722 1.299137 +v -0.223490 0.244502 1.299002 +v -0.223782 0.244335 1.299137 +v -0.223941 0.244320 1.299462 +v -0.225012 0.246530 1.298948 +v -0.224958 0.246576 1.298977 +v -0.224896 0.246612 1.298948 +v -0.224863 0.246615 1.298879 +v -0.224877 0.246584 1.298811 +v -0.224931 0.246538 1.298782 +v -0.224993 0.246503 1.298811 +v -0.225026 0.246499 1.298879 +v -0.170410 -0.079169 1.509066 +v -0.172533 -0.077672 1.509567 +v -0.175124 -0.077872 1.509066 +v -0.176664 -0.079652 1.507856 +v -0.176251 -0.081970 1.506647 +v -0.174127 -0.083467 1.506146 +v -0.171536 -0.083266 1.506647 +v -0.169997 -0.081486 1.507856 +v -0.171344 -0.081573 1.513041 +v -0.173239 -0.080238 1.513488 +v -0.175550 -0.080417 1.513041 +v -0.176924 -0.082005 1.511963 +v -0.176555 -0.084072 1.510884 +v -0.174661 -0.085407 1.510437 +v -0.172350 -0.085229 1.510884 +v -0.170976 -0.083641 1.511963 +v -0.172279 -0.083978 1.517017 +v -0.173945 -0.082804 1.517410 +v -0.175976 -0.082961 1.517017 +v -0.177184 -0.084357 1.516069 +v -0.176860 -0.086174 1.515120 +v -0.175194 -0.087348 1.514727 +v -0.173163 -0.087191 1.515120 +v -0.171955 -0.085795 1.516069 +v -0.173288 -0.086650 1.521480 +v -0.174724 -0.085638 1.521819 +v -0.176476 -0.085773 1.521480 +v -0.177517 -0.086977 1.520662 +v -0.177238 -0.088544 1.519844 +v -0.175802 -0.089556 1.519506 +v -0.174050 -0.089421 1.519844 +v -0.173008 -0.088217 1.520662 +v -0.174271 -0.089233 1.525781 +v -0.175479 -0.088382 1.526065 +v -0.176951 -0.088496 1.525781 +v -0.177826 -0.089508 1.525093 +v -0.177592 -0.090825 1.524406 +v -0.176384 -0.091676 1.524121 +v -0.174912 -0.091562 1.524406 +v -0.174037 -0.090550 1.525093 +v -0.175182 -0.091548 1.529594 +v -0.176160 -0.090859 1.529825 +v -0.177353 -0.090951 1.529594 +v -0.178062 -0.091771 1.529037 +v -0.177872 -0.092838 1.528480 +v -0.176894 -0.093527 1.528249 +v -0.175701 -0.093435 1.528480 +v -0.174992 -0.092615 1.529037 +v -0.176166 -0.094131 1.533894 +v -0.176915 -0.093603 1.534071 +v -0.177828 -0.093674 1.533894 +v -0.178371 -0.094302 1.533468 +v -0.178225 -0.095119 1.533042 +v -0.177476 -0.095646 1.532865 +v -0.176563 -0.095576 1.533042 +v -0.176020 -0.094948 1.533468 +v -0.177150 -0.096714 1.538195 +v -0.177669 -0.096348 1.538318 +v -0.178303 -0.096397 1.538195 +v -0.178680 -0.096832 1.537899 +v -0.178579 -0.097399 1.537603 +v -0.178059 -0.097766 1.537480 +v -0.177425 -0.097717 1.537603 +v -0.177048 -0.097281 1.537899 +v -0.178060 -0.099029 1.542008 +v -0.178350 -0.098825 1.542077 +v -0.178705 -0.098852 1.542008 +v -0.178916 -0.099096 1.541843 +v -0.178859 -0.099413 1.541677 +v -0.178568 -0.099617 1.541609 +v -0.178214 -0.099590 1.541677 +v -0.178003 -0.099346 1.541843 +v -0.179044 -0.101612 1.546309 +v -0.179105 -0.101569 1.546323 +v -0.179180 -0.101575 1.546309 +v -0.179225 -0.101626 1.546274 +v -0.179213 -0.101693 1.546239 +v -0.179151 -0.101736 1.546224 +v -0.179076 -0.101731 1.546239 +v -0.179032 -0.101679 1.546274 +v -0.077200 0.239533 1.380696 +v -0.075883 0.237401 1.381548 +v -0.073784 0.236034 1.380696 +v -0.072132 0.236231 1.378638 +v -0.071895 0.237878 1.376580 +v -0.073211 0.240010 1.375728 +v -0.075310 0.241377 1.376580 +v -0.076962 0.241180 1.378638 +v -0.075089 0.241225 1.382109 +v -0.073914 0.239323 1.382870 +v -0.072042 0.238103 1.382109 +v -0.070568 0.238279 1.380274 +v -0.070356 0.239749 1.378438 +v -0.071531 0.241650 1.377678 +v -0.073403 0.242870 1.378438 +v -0.074877 0.242694 1.380274 +v -0.072978 0.242917 1.383523 +v -0.071946 0.241245 1.384192 +v -0.070300 0.240173 1.383523 +v -0.069004 0.240328 1.381909 +v -0.068818 0.241619 1.380296 +v -0.069850 0.243290 1.379627 +v -0.071496 0.244363 1.380296 +v -0.072792 0.244208 1.381909 +v -0.070681 0.244789 1.385103 +v -0.069773 0.243365 1.385695 +v -0.068329 0.242465 1.385142 +v -0.067193 0.242617 1.383767 +v -0.067032 0.243731 1.382376 +v -0.067940 0.245156 1.381783 +v -0.069384 0.246055 1.382337 +v -0.070520 0.245904 1.383712 +v -0.068563 0.246684 1.386685 +v -0.067785 0.245503 1.387198 +v -0.066548 0.244771 1.386755 +v -0.065577 0.244916 1.385615 +v -0.065441 0.245854 1.384447 +v -0.066219 0.247034 1.383934 +v -0.067456 0.247766 1.384377 +v -0.068427 0.247621 1.385516 +v -0.066566 0.248465 1.388163 +v -0.065971 0.247473 1.388546 +v -0.065020 0.246828 1.388139 +v -0.064271 0.246908 1.387182 +v -0.064162 0.247666 1.386234 +v -0.064757 0.248658 1.385851 +v -0.065708 0.249303 1.386257 +v -0.066457 0.249223 1.387215 +v -0.063955 0.250223 1.389676 +v -0.063573 0.249406 1.389915 +v -0.062953 0.248828 1.389524 +v -0.062457 0.248829 1.388734 +v -0.062377 0.249407 1.388006 +v -0.062759 0.250224 1.387767 +v -0.063379 0.250802 1.388157 +v -0.063875 0.250801 1.388948 +v -0.060998 0.251533 1.390849 +v -0.060793 0.250934 1.390983 +v -0.060449 0.250486 1.390665 +v -0.060168 0.250452 1.390083 +v -0.060115 0.250852 1.389576 +v -0.060320 0.251452 1.389443 +v -0.060663 0.251899 1.389760 +v -0.060944 0.251933 1.390343 +v -0.058196 0.252340 1.391593 +v -0.058096 0.251999 1.391661 +v -0.057927 0.251740 1.391474 +v -0.057786 0.251714 1.391141 +v -0.057757 0.251937 1.390858 +v -0.057856 0.252279 1.390790 +v -0.058026 0.252538 1.390976 +v -0.058166 0.252564 1.391309 +v -0.055139 0.253255 1.392448 +v -0.055116 0.253184 1.392463 +v -0.055077 0.253131 1.392425 +v -0.055045 0.253126 1.392356 +v -0.055038 0.253173 1.392296 +v -0.055062 0.253245 1.392280 +v -0.055101 0.253298 1.392319 +v -0.055133 0.253303 1.392388 +v -0.257692 0.033497 1.471931 +v -0.255765 0.035119 1.472742 +v -0.254821 0.037454 1.471931 +v -0.255412 0.039134 1.469974 +v -0.257192 0.039175 1.468017 +v -0.259119 0.037552 1.467206 +v -0.260063 0.035217 1.468017 +v -0.259472 0.033537 1.469974 +v -0.260023 0.035513 1.473900 +v -0.258304 0.036961 1.474624 +v -0.257462 0.039044 1.473900 +v -0.257989 0.040543 1.472154 +v -0.259577 0.040579 1.470408 +v -0.261296 0.039131 1.469685 +v -0.262139 0.037048 1.470408 +v -0.261611 0.035550 1.472154 +v -0.262354 0.037530 1.475869 +v -0.260843 0.038803 1.476505 +v -0.260103 0.040634 1.475869 +v -0.260566 0.041952 1.474334 +v -0.261963 0.041983 1.472800 +v -0.263473 0.040711 1.472164 +v -0.264214 0.038879 1.472800 +v -0.263750 0.037562 1.474334 +v -0.264965 0.039750 1.478097 +v -0.263662 0.040848 1.478646 +v -0.263024 0.042427 1.478097 +v -0.263423 0.043563 1.476774 +v -0.264628 0.043591 1.475450 +v -0.265931 0.042493 1.474902 +v -0.266569 0.040914 1.475450 +v -0.266169 0.039778 1.476774 +v -0.267483 0.041903 1.480239 +v -0.266388 0.042825 1.480700 +v -0.265851 0.044152 1.480239 +v -0.266187 0.045107 1.479126 +v -0.267199 0.045130 1.478014 +v -0.268294 0.044208 1.477553 +v -0.268831 0.042881 1.478014 +v -0.268495 0.041926 1.479126 +v -0.269721 0.043852 1.482122 +v -0.268834 0.044599 1.482495 +v -0.268399 0.045675 1.482122 +v -0.268671 0.046448 1.481221 +v -0.269491 0.046467 1.480319 +v -0.270378 0.045720 1.479946 +v -0.270813 0.044644 1.480319 +v -0.270541 0.043871 1.481221 +v -0.272239 0.046004 1.484264 +v -0.271560 0.046576 1.484550 +v -0.271227 0.047400 1.484264 +v -0.271435 0.047992 1.483573 +v -0.272063 0.048006 1.482883 +v -0.272742 0.047434 1.482597 +v -0.273075 0.046611 1.482883 +v -0.272867 0.046019 1.483573 +v -0.274757 0.048157 1.486405 +v -0.274285 0.048554 1.486604 +v -0.274054 0.049125 1.486405 +v -0.274199 0.049536 1.485926 +v -0.274635 0.049546 1.485447 +v -0.275106 0.049149 1.485249 +v -0.275337 0.048578 1.485447 +v -0.275192 0.048166 1.485926 +v -0.276995 0.050106 1.488288 +v -0.276731 0.050328 1.488399 +v -0.276602 0.050647 1.488288 +v -0.276683 0.050877 1.488020 +v -0.276926 0.050883 1.487753 +v -0.277190 0.050661 1.487642 +v -0.277319 0.050341 1.487753 +v -0.277238 0.050111 1.488020 +v -0.279513 0.052258 1.490430 +v -0.279457 0.052305 1.490453 +v -0.279429 0.052373 1.490430 +v -0.279447 0.052421 1.490373 +v -0.279498 0.052422 1.490317 +v -0.279554 0.052375 1.490293 +v -0.279581 0.052308 1.490317 +v -0.279564 0.052259 1.490373 +v 0.261144 0.021683 1.484534 +v 0.261497 0.019264 1.485546 +v 0.261926 0.016857 1.484534 +v 0.262180 0.015872 1.482091 +v 0.262109 0.016886 1.479648 +v 0.261756 0.019306 1.478636 +v 0.261327 0.021713 1.479648 +v 0.261073 0.022698 1.482091 +v 0.263146 0.021741 1.484345 +v 0.263462 0.019582 1.485248 +v 0.263844 0.017435 1.484345 +v 0.264071 0.016556 1.482165 +v 0.264007 0.017461 1.479986 +v 0.263692 0.019620 1.479083 +v 0.263310 0.021767 1.479986 +v 0.263083 0.022646 1.482165 +v 0.265149 0.021798 1.484156 +v 0.265426 0.019901 1.484950 +v 0.265762 0.018013 1.484156 +v 0.265961 0.017241 1.482240 +v 0.265906 0.018036 1.480325 +v 0.265629 0.019934 1.479531 +v 0.265292 0.021821 1.480325 +v 0.265094 0.022594 1.482240 +v 0.267383 0.021893 1.483976 +v 0.267622 0.020257 1.484661 +v 0.267912 0.018629 1.483976 +v 0.268083 0.017963 1.482324 +v 0.268035 0.018649 1.480672 +v 0.267796 0.020285 1.479987 +v 0.267506 0.021913 1.480672 +v 0.267335 0.022579 1.482324 +v 0.269540 0.021975 1.483793 +v 0.269740 0.020600 1.484369 +v 0.269984 0.019232 1.483793 +v 0.270128 0.018672 1.482405 +v 0.270088 0.019249 1.481016 +v 0.269887 0.020624 1.480441 +v 0.269643 0.021992 1.481016 +v 0.269499 0.022552 1.482405 +v 0.271465 0.022020 1.483602 +v 0.271628 0.020906 1.484068 +v 0.271825 0.019797 1.483602 +v 0.271942 0.019344 1.482477 +v 0.271909 0.019811 1.481351 +v 0.271747 0.020925 1.480886 +v 0.271549 0.022034 1.481351 +v 0.271432 0.022487 1.482477 +v 0.273622 0.022102 1.483419 +v 0.273746 0.021249 1.483776 +v 0.273897 0.020401 1.483419 +v 0.273987 0.020053 1.482557 +v 0.273962 0.020411 1.481696 +v 0.273837 0.021264 1.481339 +v 0.273686 0.022113 1.481696 +v 0.273597 0.022460 1.482557 +v 0.275778 0.022185 1.483236 +v 0.275865 0.021593 1.483484 +v 0.275970 0.021004 1.483236 +v 0.276032 0.020763 1.482638 +v 0.276014 0.021011 1.482040 +v 0.275928 0.021603 1.481793 +v 0.275823 0.022192 1.482040 +v 0.275761 0.022433 1.482638 +v 0.277704 0.022230 1.483044 +v 0.277752 0.021899 1.483183 +v 0.277811 0.021569 1.483044 +v 0.277845 0.021435 1.482710 +v 0.277836 0.021573 1.482376 +v 0.277787 0.021904 1.482237 +v 0.277729 0.022234 1.482376 +v 0.277694 0.022368 1.482710 +v 0.279860 0.022312 1.482862 +v 0.279871 0.022242 1.482891 +v 0.279883 0.022172 1.482862 +v 0.279890 0.022144 1.482791 +v 0.279888 0.022173 1.482720 +v 0.279878 0.022243 1.482691 +v 0.279866 0.022313 1.482720 +v 0.279858 0.022341 1.482791 +v 0.224099 -0.083889 1.565369 +v 0.221640 -0.084363 1.566224 +v 0.219613 -0.085834 1.565369 +v 0.219205 -0.087440 1.563307 +v 0.220657 -0.088242 1.561244 +v 0.223116 -0.087768 1.560390 +v 0.225143 -0.086297 1.561244 +v 0.225550 -0.084690 1.563307 +v 0.224978 -0.086579 1.566849 +v 0.222784 -0.087002 1.567612 +v 0.220975 -0.088314 1.566849 +v 0.220612 -0.089748 1.565009 +v 0.221907 -0.090463 1.563169 +v 0.224101 -0.090040 1.562407 +v 0.225909 -0.088728 1.563169 +v 0.226272 -0.087294 1.565009 +v 0.225856 -0.089270 1.568330 +v 0.223928 -0.089641 1.569000 +v 0.222338 -0.090795 1.568330 +v 0.222019 -0.092055 1.566712 +v 0.223157 -0.092683 1.565095 +v 0.225085 -0.092312 1.564425 +v 0.226675 -0.091158 1.565095 +v 0.226994 -0.089898 1.566712 +v 0.226861 -0.092252 1.570012 +v 0.225198 -0.092572 1.570590 +v 0.223827 -0.093567 1.570012 +v 0.223552 -0.094653 1.568617 +v 0.224533 -0.095195 1.567222 +v 0.226196 -0.094875 1.566644 +v 0.227567 -0.093880 1.567222 +v 0.227843 -0.092794 1.568617 +v 0.227824 -0.095136 1.571627 +v 0.226426 -0.095405 1.572113 +v 0.225274 -0.096242 1.571627 +v 0.225043 -0.097155 1.570455 +v 0.225867 -0.097610 1.569282 +v 0.227265 -0.097341 1.568797 +v 0.228417 -0.096505 1.569282 +v 0.228649 -0.095592 1.570455 +v 0.228661 -0.097730 1.573040 +v 0.227528 -0.097948 1.573433 +v 0.226595 -0.098625 1.573040 +v 0.226407 -0.099365 1.572090 +v 0.227075 -0.099734 1.571140 +v 0.228208 -0.099516 1.570747 +v 0.229141 -0.098839 1.571140 +v 0.229329 -0.098099 1.572090 +v 0.229623 -0.100614 1.574655 +v 0.228756 -0.100781 1.574956 +v 0.228041 -0.101300 1.574655 +v 0.227898 -0.101867 1.573928 +v 0.228410 -0.102149 1.573200 +v 0.229277 -0.101982 1.572899 +v 0.229991 -0.101463 1.573200 +v 0.230135 -0.100897 1.573928 +v 0.230586 -0.103499 1.576270 +v 0.229984 -0.103615 1.576479 +v 0.229488 -0.103975 1.576270 +v 0.229389 -0.104368 1.575765 +v 0.229744 -0.104564 1.575260 +v 0.230346 -0.104448 1.575051 +v 0.230842 -0.104088 1.575260 +v 0.230941 -0.103695 1.575765 +v 0.231423 -0.106092 1.577683 +v 0.231086 -0.106157 1.577800 +v 0.230809 -0.106358 1.577683 +v 0.230753 -0.106578 1.577401 +v 0.230952 -0.106688 1.577118 +v 0.231288 -0.106623 1.577001 +v 0.231566 -0.106422 1.577118 +v 0.231621 -0.106202 1.577401 +v 0.232386 -0.108977 1.579298 +v 0.232314 -0.108991 1.579323 +v 0.232256 -0.109033 1.579298 +v 0.232244 -0.109080 1.579238 +v 0.232286 -0.109103 1.579179 +v 0.232357 -0.109089 1.579154 +v 0.232416 -0.109047 1.579179 +v 0.232428 -0.109000 1.579238 +v 0.141747 0.196973 1.479409 +v 0.144102 0.196137 1.480279 +v 0.145917 0.194419 1.479409 +v 0.146127 0.192824 1.477307 +v 0.144611 0.192287 1.475206 +v 0.142256 0.193123 1.474336 +v 0.140442 0.194841 1.475206 +v 0.140231 0.196436 1.477307 +v 0.143057 0.198605 1.477867 +v 0.145158 0.197860 1.478643 +v 0.146776 0.196327 1.477867 +v 0.146964 0.194904 1.475992 +v 0.145612 0.194426 1.474118 +v 0.143511 0.195171 1.473341 +v 0.141892 0.196704 1.474118 +v 0.141704 0.198127 1.475992 +v 0.144366 0.200238 1.476325 +v 0.146213 0.199583 1.477007 +v 0.147636 0.198235 1.476325 +v 0.147801 0.196985 1.474677 +v 0.146612 0.196564 1.473029 +v 0.144765 0.197219 1.472347 +v 0.143342 0.198567 1.473029 +v 0.143177 0.199817 1.474677 +v 0.145813 0.202095 1.474627 +v 0.147406 0.201530 1.475216 +v 0.148633 0.200367 1.474627 +v 0.148775 0.199289 1.473206 +v 0.147750 0.198926 1.471785 +v 0.146157 0.199491 1.471196 +v 0.144930 0.200653 1.471785 +v 0.144787 0.201732 1.473206 +v 0.147214 0.203877 1.472981 +v 0.148553 0.203402 1.473476 +v 0.149584 0.202425 1.472981 +v 0.149704 0.201519 1.471787 +v 0.148842 0.201213 1.470592 +v 0.147503 0.201688 1.470098 +v 0.146472 0.202665 1.470592 +v 0.146352 0.203572 1.471787 +v 0.148478 0.205435 1.471491 +v 0.149562 0.205050 1.471892 +v 0.150398 0.204259 1.471491 +v 0.150495 0.203524 1.470523 +v 0.149797 0.203277 1.469556 +v 0.148712 0.203662 1.469155 +v 0.147877 0.204453 1.469556 +v 0.147780 0.205188 1.470523 +v 0.149879 0.207217 1.469845 +v 0.150709 0.206922 1.470152 +v 0.151349 0.206316 1.469845 +v 0.151423 0.205754 1.469104 +v 0.150889 0.205565 1.468364 +v 0.150058 0.205859 1.468057 +v 0.149418 0.206465 1.468364 +v 0.149344 0.207028 1.469104 +v 0.151280 0.208999 1.468199 +v 0.151856 0.208794 1.468412 +v 0.152300 0.208374 1.468199 +v 0.152352 0.207984 1.467685 +v 0.151981 0.207852 1.467171 +v 0.151404 0.208057 1.466958 +v 0.150960 0.208477 1.467171 +v 0.150909 0.208868 1.467685 +v 0.152544 0.210557 1.466710 +v 0.152866 0.210443 1.466829 +v 0.153114 0.210208 1.466710 +v 0.153143 0.209989 1.466422 +v 0.152935 0.209916 1.466135 +v 0.152613 0.210030 1.466015 +v 0.152365 0.210265 1.466135 +v 0.152336 0.210484 1.466422 +v 0.153945 0.212339 1.465064 +v 0.154013 0.212315 1.465089 +v 0.154065 0.212265 1.465064 +v 0.154071 0.212219 1.465003 +v 0.154027 0.212203 1.464942 +v 0.153959 0.212228 1.464917 +v 0.153907 0.212277 1.464942 +v 0.153901 0.212323 1.465003 +v -0.028709 0.282929 1.700923 +v -0.026215 0.282502 1.701699 +v -0.023839 0.283371 1.700923 +v -0.022973 0.285028 1.699051 +v -0.024124 0.286502 1.697178 +v -0.026617 0.286929 1.696403 +v -0.028993 0.286060 1.697178 +v -0.029859 0.284403 1.699051 +v -0.028620 0.284871 1.702196 +v -0.026396 0.284490 1.702887 +v -0.024276 0.285265 1.702196 +v -0.023503 0.286744 1.700525 +v -0.024530 0.288059 1.698855 +v -0.026754 0.288440 1.698163 +v -0.028874 0.287664 1.698855 +v -0.029647 0.286186 1.700525 +v -0.028532 0.286813 1.703468 +v -0.026576 0.286478 1.704076 +v -0.024713 0.287160 1.703468 +v -0.024034 0.288459 1.702000 +v -0.024936 0.289615 1.700531 +v -0.026891 0.289950 1.699923 +v -0.028755 0.289268 1.700531 +v -0.029434 0.287969 1.702000 +v -0.028462 0.288963 1.704916 +v -0.026776 0.288674 1.705440 +v -0.025169 0.289262 1.704916 +v -0.024583 0.290383 1.703649 +v -0.025361 0.291379 1.702383 +v -0.027047 0.291668 1.701859 +v -0.028654 0.291080 1.702383 +v -0.029240 0.289960 1.703649 +v -0.028386 0.291043 1.706305 +v -0.026969 0.290800 1.706746 +v -0.025618 0.291295 1.706305 +v -0.025126 0.292237 1.705241 +v -0.025780 0.293074 1.704176 +v -0.027197 0.293317 1.703736 +v -0.028548 0.292823 1.704176 +v -0.029040 0.291881 1.705241 +v -0.028291 0.292916 1.707519 +v -0.027143 0.292719 1.707877 +v -0.026049 0.293120 1.707519 +v -0.025650 0.293883 1.706657 +v -0.026180 0.294562 1.705795 +v -0.027328 0.294759 1.705438 +v -0.028422 0.294358 1.705795 +v -0.028821 0.293595 1.706657 +v -0.028215 0.294997 1.708909 +v -0.027336 0.294846 1.709182 +v -0.026498 0.295153 1.708909 +v -0.026193 0.295737 1.708248 +v -0.026598 0.296257 1.707588 +v -0.027478 0.296407 1.707314 +v -0.028315 0.296101 1.707588 +v -0.028621 0.295517 1.708248 +v -0.028139 0.297077 1.710298 +v -0.027529 0.296973 1.710488 +v -0.026948 0.297186 1.710298 +v -0.026736 0.297591 1.709840 +v -0.027017 0.297952 1.709381 +v -0.027627 0.298056 1.709192 +v -0.028209 0.297844 1.709381 +v -0.028421 0.297438 1.709840 +v -0.028044 0.298950 1.711512 +v -0.027703 0.298892 1.711618 +v -0.027378 0.299011 1.711512 +v -0.027260 0.299237 1.711256 +v -0.027417 0.299439 1.711000 +v -0.027758 0.299498 1.710894 +v -0.028083 0.299379 1.711000 +v -0.028202 0.299152 1.711256 +v -0.027968 0.301031 1.712901 +v -0.027896 0.301018 1.712924 +v -0.027828 0.301044 1.712901 +v -0.027803 0.301091 1.712847 +v -0.027836 0.301134 1.712793 +v -0.027908 0.301146 1.712771 +v -0.027977 0.301121 1.712793 +v -0.028002 0.301073 1.712847 +v 0.224715 0.147671 1.551575 +v 0.224975 0.145207 1.552503 +v 0.226016 0.142958 1.551575 +v 0.227228 0.142242 1.549335 +v 0.227902 0.143478 1.547094 +v 0.227642 0.145943 1.546166 +v 0.226601 0.148192 1.547094 +v 0.225389 0.148908 1.549335 +v 0.228465 0.148432 1.552953 +v 0.228696 0.146233 1.553782 +v 0.229625 0.144227 1.552953 +v 0.230706 0.143588 1.550955 +v 0.231307 0.144691 1.548956 +v 0.231075 0.146890 1.548128 +v 0.230147 0.148896 1.548956 +v 0.229065 0.149535 1.550955 +v 0.232214 0.149193 1.554332 +v 0.232417 0.147260 1.555060 +v 0.233233 0.145496 1.554332 +v 0.234184 0.144935 1.552575 +v 0.234712 0.145904 1.550818 +v 0.234509 0.147837 1.550090 +v 0.233693 0.149601 1.550818 +v 0.232742 0.150162 1.552575 +v 0.236387 0.150071 1.555902 +v 0.236563 0.148404 1.556530 +v 0.237267 0.146883 1.555902 +v 0.238087 0.146398 1.554387 +v 0.238542 0.147235 1.552872 +v 0.238367 0.148901 1.552244 +v 0.237663 0.150422 1.552872 +v 0.236843 0.150907 1.554387 +v 0.240419 0.150909 1.557409 +v 0.240567 0.149508 1.557936 +v 0.241159 0.148230 1.557409 +v 0.241848 0.147823 1.556135 +v 0.242231 0.148526 1.554862 +v 0.242083 0.149927 1.554334 +v 0.241491 0.151205 1.554862 +v 0.240802 0.151612 1.556135 +v 0.244027 0.151631 1.558723 +v 0.244147 0.150496 1.559150 +v 0.244626 0.149460 1.558723 +v 0.245184 0.149131 1.557691 +v 0.245494 0.149700 1.556659 +v 0.245375 0.150835 1.556232 +v 0.244896 0.151871 1.556659 +v 0.244337 0.152200 1.557691 +v 0.248059 0.152470 1.560229 +v 0.248151 0.151601 1.560557 +v 0.248518 0.150808 1.560229 +v 0.248945 0.150555 1.559439 +v 0.249183 0.150991 1.558649 +v 0.249091 0.151860 1.558322 +v 0.248724 0.152653 1.558649 +v 0.248297 0.152906 1.559439 +v 0.252091 0.153308 1.561736 +v 0.252155 0.152705 1.561963 +v 0.252410 0.152155 1.561736 +v 0.252706 0.151980 1.561187 +v 0.252871 0.152282 1.560639 +v 0.252808 0.152885 1.560412 +v 0.252553 0.153436 1.560639 +v 0.252256 0.153611 1.561187 +v 0.255699 0.154030 1.563050 +v 0.255735 0.153693 1.563177 +v 0.255877 0.153385 1.563050 +v 0.256043 0.153287 1.562743 +v 0.256135 0.153456 1.562437 +v 0.256099 0.153794 1.562310 +v 0.255957 0.154101 1.562437 +v 0.255791 0.154199 1.562743 +v 0.259731 0.154869 1.564556 +v 0.259739 0.154798 1.564583 +v 0.259769 0.154733 1.564556 +v 0.259804 0.154712 1.564491 +v 0.259823 0.154748 1.564427 +v 0.259816 0.154819 1.564400 +v 0.259786 0.154884 1.564427 +v 0.259751 0.154905 1.564491 +v -0.012959 -0.258401 1.830697 +v -0.015220 -0.257222 1.831404 +v -0.017759 -0.257465 1.830697 +v -0.019087 -0.258989 1.828989 +v -0.018428 -0.260901 1.827282 +v -0.016167 -0.262080 1.826575 +v -0.013629 -0.261836 1.827282 +v -0.012300 -0.260312 1.828989 +v -0.013979 -0.262256 1.834398 +v -0.015996 -0.261205 1.835029 +v -0.018261 -0.261422 1.834398 +v -0.019446 -0.262782 1.832875 +v -0.018858 -0.264487 1.831352 +v -0.016841 -0.265539 1.830721 +v -0.014577 -0.265321 1.831352 +v -0.013391 -0.263962 1.832875 +v -0.015000 -0.266112 1.838099 +v -0.016773 -0.265187 1.838654 +v -0.018763 -0.265379 1.838099 +v -0.019805 -0.266574 1.836761 +v -0.019288 -0.268073 1.835422 +v -0.017515 -0.268997 1.834867 +v -0.015525 -0.268806 1.835422 +v -0.014483 -0.267611 1.836761 +v -0.016106 -0.270409 1.842262 +v -0.017635 -0.269612 1.842740 +v -0.019352 -0.269777 1.842262 +v -0.020250 -0.270807 1.841107 +v -0.019804 -0.272100 1.839953 +v -0.018275 -0.272898 1.839475 +v -0.016559 -0.272733 1.839953 +v -0.015660 -0.271702 1.841107 +v -0.017183 -0.274559 1.846271 +v -0.018469 -0.273889 1.846673 +v -0.019911 -0.274028 1.846271 +v -0.020667 -0.274894 1.845301 +v -0.020292 -0.275980 1.844330 +v -0.019007 -0.276651 1.843928 +v -0.017564 -0.276512 1.844330 +v -0.016809 -0.275646 1.845301 +v -0.018175 -0.278268 1.849819 +v -0.019216 -0.277725 1.850144 +v -0.020385 -0.277837 1.849819 +v -0.020997 -0.278539 1.849033 +v -0.020693 -0.279419 1.848246 +v -0.019652 -0.279962 1.847921 +v -0.018483 -0.279850 1.848246 +v -0.017871 -0.279148 1.849033 +v -0.019253 -0.282418 1.853828 +v -0.020050 -0.282002 1.854077 +v -0.020945 -0.282088 1.853828 +v -0.021413 -0.282626 1.853226 +v -0.021181 -0.283300 1.852624 +v -0.020384 -0.283715 1.852374 +v -0.019489 -0.283629 1.852624 +v -0.019020 -0.283092 1.853226 +v -0.020330 -0.286568 1.857836 +v -0.020883 -0.286280 1.858009 +v -0.021505 -0.286339 1.857836 +v -0.021830 -0.286712 1.857419 +v -0.021668 -0.287180 1.857001 +v -0.021115 -0.287468 1.856828 +v -0.020494 -0.287409 1.857001 +v -0.020169 -0.287036 1.857419 +v -0.021322 -0.290277 1.861384 +v -0.021631 -0.290115 1.861481 +v -0.021978 -0.290149 1.861384 +v -0.022160 -0.290357 1.861151 +v -0.022070 -0.290619 1.860917 +v -0.021760 -0.290780 1.860820 +v -0.021413 -0.290747 1.860917 +v -0.021231 -0.290538 1.861151 +v -0.022399 -0.294427 1.865393 +v -0.022465 -0.294393 1.865414 +v -0.022538 -0.294400 1.865393 +v -0.022576 -0.294444 1.865344 +v -0.022557 -0.294499 1.865294 +v -0.022492 -0.294533 1.865274 +v -0.022419 -0.294526 1.865294 +v -0.022380 -0.294482 1.865344 +v -0.240837 -0.121936 1.757783 +v -0.239627 -0.119633 1.758265 +v -0.240183 -0.117091 1.757783 +v -0.242179 -0.115799 1.756621 +v -0.244446 -0.116515 1.755459 +v -0.245656 -0.118818 1.754978 +v -0.245101 -0.121361 1.755459 +v -0.243104 -0.122652 1.756621 +v -0.242911 -0.121390 1.761168 +v -0.241831 -0.119335 1.761597 +v -0.242327 -0.117067 1.761168 +v -0.244108 -0.115915 1.760131 +v -0.246130 -0.116554 1.759095 +v -0.247210 -0.118609 1.758665 +v -0.246714 -0.120876 1.759095 +v -0.244934 -0.122029 1.760131 +v -0.244985 -0.120844 1.764553 +v -0.244036 -0.119037 1.764930 +v -0.244471 -0.117044 1.764553 +v -0.246037 -0.116031 1.763641 +v -0.247815 -0.116592 1.762730 +v -0.248764 -0.118399 1.762353 +v -0.248328 -0.120392 1.762730 +v -0.246763 -0.121405 1.763641 +v -0.247281 -0.120267 1.768354 +v -0.246463 -0.118710 1.768679 +v -0.246839 -0.116990 1.768354 +v -0.248189 -0.116117 1.767568 +v -0.249722 -0.116601 1.766782 +v -0.250540 -0.118159 1.766456 +v -0.250165 -0.119878 1.766782 +v -0.248815 -0.120751 1.767568 +v -0.249504 -0.119701 1.772016 +v -0.248816 -0.118392 1.772290 +v -0.249132 -0.116947 1.772016 +v -0.250266 -0.116213 1.771356 +v -0.251555 -0.116619 1.770695 +v -0.252243 -0.117929 1.770422 +v -0.251927 -0.119374 1.770695 +v -0.250792 -0.120108 1.771356 +v -0.251503 -0.119165 1.775262 +v -0.250946 -0.118104 1.775483 +v -0.251202 -0.116933 1.775262 +v -0.252121 -0.116339 1.774727 +v -0.253165 -0.116668 1.774191 +v -0.253722 -0.117729 1.773970 +v -0.253466 -0.118900 1.774191 +v -0.252547 -0.119494 1.774727 +v -0.253725 -0.118598 1.778924 +v -0.253299 -0.117786 1.779094 +v -0.253495 -0.116890 1.778924 +v -0.254199 -0.116434 1.778514 +v -0.254998 -0.116687 1.778105 +v -0.255425 -0.117499 1.777935 +v -0.255229 -0.118395 1.778105 +v -0.254525 -0.118851 1.778514 +v -0.255948 -0.118032 1.782586 +v -0.255652 -0.117468 1.782704 +v -0.255788 -0.116846 1.782586 +v -0.256276 -0.116530 1.782302 +v -0.256831 -0.116705 1.782018 +v -0.257127 -0.117269 1.781900 +v -0.256991 -0.117891 1.782018 +v -0.256503 -0.118207 1.782302 +v -0.257947 -0.117496 1.785832 +v -0.257782 -0.117181 1.785898 +v -0.257858 -0.116833 1.785832 +v -0.258131 -0.116656 1.785673 +v -0.258441 -0.116754 1.785514 +v -0.258607 -0.117069 1.785448 +v -0.258531 -0.117417 1.785514 +v -0.258257 -0.117594 1.785673 +v -0.260170 -0.116929 1.789495 +v -0.260135 -0.116863 1.789508 +v -0.260151 -0.116789 1.789495 +v -0.260208 -0.116752 1.789461 +v -0.260274 -0.116772 1.789427 +v -0.260309 -0.116839 1.789413 +v -0.260293 -0.116913 1.789427 +v -0.260235 -0.116950 1.789461 +v -0.199672 -0.220758 1.678608 +v -0.201216 -0.218972 1.679553 +v -0.203083 -0.217526 1.678608 +v -0.204178 -0.217267 1.676327 +v -0.203861 -0.218347 1.674047 +v -0.202316 -0.220132 1.673102 +v -0.200449 -0.221579 1.674047 +v -0.199354 -0.221838 1.676327 +v -0.201143 -0.221943 1.678811 +v -0.202521 -0.220349 1.679654 +v -0.204187 -0.219059 1.678811 +v -0.205164 -0.218828 1.676776 +v -0.204880 -0.219791 1.674741 +v -0.203502 -0.221385 1.673898 +v -0.201836 -0.222675 1.674741 +v -0.200859 -0.222906 1.676776 +v -0.202614 -0.223127 1.679014 +v -0.203826 -0.221726 1.679755 +v -0.205290 -0.220592 1.679014 +v -0.206149 -0.220389 1.677225 +v -0.205900 -0.221236 1.675436 +v -0.204688 -0.222637 1.674695 +v -0.203224 -0.223771 1.675436 +v -0.202365 -0.223974 1.677225 +v -0.204233 -0.224468 1.679270 +v -0.205278 -0.223259 1.679909 +v -0.206542 -0.222281 1.679270 +v -0.207283 -0.222106 1.677727 +v -0.207068 -0.222836 1.676183 +v -0.206022 -0.224045 1.675544 +v -0.204759 -0.225023 1.676183 +v -0.204018 -0.225199 1.677727 +v -0.205803 -0.225757 1.679509 +v -0.206682 -0.224741 1.680046 +v -0.207744 -0.223918 1.679509 +v -0.208367 -0.223770 1.678211 +v -0.208186 -0.224385 1.676913 +v -0.207307 -0.225401 1.676376 +v -0.206245 -0.226224 1.676913 +v -0.205622 -0.226371 1.678211 +v -0.207225 -0.226889 1.679694 +v -0.207937 -0.226066 1.680129 +v -0.208798 -0.225399 1.679694 +v -0.209303 -0.225279 1.678642 +v -0.209156 -0.225777 1.677590 +v -0.208444 -0.226601 1.677155 +v -0.207583 -0.227268 1.677590 +v -0.207078 -0.227387 1.678642 +v -0.208794 -0.228178 1.679932 +v -0.209340 -0.227547 1.680266 +v -0.210000 -0.227036 1.679932 +v -0.210387 -0.226944 1.679126 +v -0.210275 -0.227326 1.678320 +v -0.209729 -0.227957 1.677986 +v -0.209069 -0.228468 1.678320 +v -0.208682 -0.228560 1.679126 +v -0.210364 -0.229467 1.680171 +v -0.210744 -0.229028 1.680403 +v -0.211202 -0.228673 1.680171 +v -0.211471 -0.228609 1.679610 +v -0.211393 -0.228874 1.679050 +v -0.211014 -0.229313 1.678818 +v -0.210555 -0.229668 1.679050 +v -0.210286 -0.229732 1.679610 +v -0.211786 -0.230599 1.680356 +v -0.211999 -0.230353 1.680486 +v -0.212256 -0.230154 1.680356 +v -0.212407 -0.230118 1.680041 +v -0.212364 -0.230267 1.679727 +v -0.212151 -0.230513 1.679597 +v -0.211893 -0.230712 1.679727 +v -0.211742 -0.230748 1.680041 +v -0.213356 -0.231888 1.680594 +v -0.213402 -0.231834 1.680623 +v -0.213458 -0.231791 1.680594 +v -0.213491 -0.231783 1.680526 +v -0.213482 -0.231815 1.680457 +v -0.213435 -0.231869 1.680429 +v -0.213379 -0.231913 1.680457 +v -0.213346 -0.231921 1.680526 +v 0.170359 0.009638 1.888725 +v 0.171614 0.007414 1.889421 +v 0.173887 0.006252 1.888725 +v 0.175848 0.006833 1.887045 +v 0.176347 0.008816 1.885365 +v 0.175093 0.011039 1.884670 +v 0.172819 0.012201 1.885365 +v 0.170859 0.011621 1.887045 +v 0.172072 0.011042 1.890666 +v 0.173191 0.009058 1.891287 +v 0.175219 0.008021 1.890666 +v 0.176968 0.008539 1.889168 +v 0.177414 0.010308 1.887669 +v 0.176295 0.012292 1.887048 +v 0.174267 0.013328 1.887669 +v 0.172518 0.012811 1.889168 +v 0.173785 0.012445 1.892607 +v 0.174768 0.010701 1.893153 +v 0.176551 0.009790 1.892607 +v 0.178089 0.010245 1.891290 +v 0.178480 0.011800 1.889973 +v 0.177497 0.013544 1.889427 +v 0.175714 0.014455 1.889973 +v 0.174176 0.014000 1.891290 +v 0.175662 0.014021 1.894800 +v 0.176511 0.012517 1.895271 +v 0.178048 0.011731 1.894800 +v 0.179374 0.012123 1.893664 +v 0.179712 0.013464 1.892528 +v 0.178864 0.014968 1.892057 +v 0.177326 0.015754 1.892528 +v 0.176000 0.015362 1.893664 +v 0.177485 0.015539 1.896909 +v 0.178198 0.014275 1.897305 +v 0.179490 0.013614 1.896909 +v 0.180605 0.013944 1.895954 +v 0.180888 0.015071 1.895000 +v 0.180175 0.016335 1.894604 +v 0.178883 0.016996 1.895000 +v 0.177769 0.016666 1.895954 +v 0.179143 0.016885 1.898766 +v 0.179720 0.015861 1.899087 +v 0.180767 0.015326 1.898766 +v 0.181670 0.015593 1.897993 +v 0.181900 0.016506 1.897219 +v 0.181323 0.017530 1.896899 +v 0.180276 0.018065 1.897219 +v 0.179373 0.017798 1.897993 +v 0.180965 0.018403 1.900875 +v 0.181408 0.017619 1.901121 +v 0.182209 0.017209 1.900875 +v 0.182901 0.017414 1.900283 +v 0.183077 0.018113 1.899691 +v 0.182634 0.018897 1.899445 +v 0.181833 0.019307 1.899691 +v 0.181141 0.019102 1.900283 +v 0.182788 0.019921 1.902984 +v 0.183095 0.019377 1.903154 +v 0.183651 0.019093 1.902984 +v 0.184131 0.019235 1.902573 +v 0.184253 0.019720 1.902162 +v 0.183946 0.020264 1.901992 +v 0.183390 0.020548 1.902162 +v 0.182910 0.020406 1.902573 +v 0.184446 0.021268 1.904841 +v 0.184617 0.020963 1.904936 +v 0.184928 0.020804 1.904841 +v 0.185197 0.020884 1.904611 +v 0.185265 0.021155 1.904382 +v 0.185093 0.021459 1.904287 +v 0.184782 0.021618 1.904382 +v 0.184514 0.021539 1.904611 +v 0.186268 0.022786 1.906950 +v 0.186305 0.022721 1.906970 +v 0.186370 0.022688 1.906950 +v 0.186427 0.022705 1.906902 +v 0.186442 0.022762 1.906853 +v 0.186405 0.022826 1.906833 +v 0.186340 0.022860 1.906853 +v 0.186283 0.022843 1.906902 +v 0.149249 -0.166433 1.810408 +v 0.148016 -0.168482 1.811390 +v 0.146997 -0.170645 1.810408 +v 0.146789 -0.171655 1.808038 +v 0.147513 -0.170921 1.805668 +v 0.148746 -0.168872 1.804687 +v 0.149765 -0.166709 1.805668 +v 0.149973 -0.165699 1.808038 +v 0.152400 -0.168410 1.810607 +v 0.151300 -0.170238 1.811483 +v 0.150391 -0.172167 1.810607 +v 0.150205 -0.173069 1.808492 +v 0.150851 -0.172413 1.806378 +v 0.151951 -0.170586 1.805502 +v 0.152860 -0.168656 1.806378 +v 0.153046 -0.167755 1.808492 +v 0.155550 -0.170386 1.810805 +v 0.154584 -0.171993 1.811575 +v 0.153784 -0.173690 1.810805 +v 0.153621 -0.174482 1.808946 +v 0.154189 -0.173906 1.807088 +v 0.155156 -0.172299 1.806318 +v 0.155955 -0.170602 1.807088 +v 0.156119 -0.169810 1.808946 +v 0.159086 -0.172568 1.811058 +v 0.158252 -0.173954 1.811722 +v 0.157563 -0.175418 1.811058 +v 0.157422 -0.176101 1.809454 +v 0.157912 -0.175604 1.807851 +v 0.158746 -0.174218 1.807187 +v 0.159435 -0.172755 1.807851 +v 0.159576 -0.172071 1.809454 +v 0.162494 -0.174682 1.811292 +v 0.161793 -0.175847 1.811850 +v 0.161213 -0.177077 1.811292 +v 0.161095 -0.177652 1.809944 +v 0.161507 -0.177234 1.808596 +v 0.162208 -0.176069 1.808038 +v 0.162787 -0.174839 1.808596 +v 0.162906 -0.174264 1.809944 +v 0.165516 -0.176590 1.811473 +v 0.164948 -0.177534 1.811925 +v 0.164478 -0.178531 1.811473 +v 0.164382 -0.178996 1.810380 +v 0.164716 -0.178658 1.809288 +v 0.165284 -0.177714 1.808836 +v 0.165754 -0.176717 1.809288 +v 0.165850 -0.176251 1.810380 +v 0.168923 -0.178703 1.811707 +v 0.168488 -0.179426 1.812054 +v 0.168129 -0.180190 1.811707 +v 0.168055 -0.180547 1.810870 +v 0.168311 -0.180288 1.810034 +v 0.168746 -0.179564 1.809687 +v 0.169106 -0.178800 1.810034 +v 0.169179 -0.178444 1.810870 +v 0.172331 -0.180817 1.811942 +v 0.172029 -0.181319 1.812182 +v 0.171779 -0.181850 1.811942 +v 0.171728 -0.182097 1.811360 +v 0.171905 -0.181917 1.810779 +v 0.172208 -0.181415 1.810538 +v 0.172457 -0.180884 1.810779 +v 0.172509 -0.180637 1.811360 +v 0.175353 -0.182724 1.812122 +v 0.175184 -0.183006 1.812257 +v 0.175044 -0.183303 1.812122 +v 0.175015 -0.183442 1.811796 +v 0.175115 -0.183341 1.811471 +v 0.175284 -0.183060 1.811336 +v 0.175424 -0.182762 1.811471 +v 0.175453 -0.182623 1.811796 +v 0.178761 -0.184838 1.812356 +v 0.178724 -0.184899 1.812386 +v 0.178694 -0.184963 1.812356 +v 0.178688 -0.184993 1.812286 +v 0.178709 -0.184971 1.812216 +v 0.178746 -0.184910 1.812187 +v 0.178776 -0.184846 1.812216 +v 0.178782 -0.184816 1.812286 +v 0.151076 -0.051927 1.896124 +v 0.148627 -0.051154 1.896764 +v 0.146186 -0.051950 1.896124 +v 0.145183 -0.053849 1.894579 +v 0.146204 -0.055739 1.893034 +v 0.148652 -0.056513 1.892394 +v 0.151093 -0.055717 1.893034 +v 0.152097 -0.053817 1.894579 +v 0.150821 -0.053804 1.898007 +v 0.148637 -0.053114 1.898578 +v 0.146459 -0.053825 1.898007 +v 0.145563 -0.055519 1.896629 +v 0.146475 -0.057205 1.895251 +v 0.148659 -0.057895 1.894680 +v 0.150837 -0.057185 1.895251 +v 0.151732 -0.055491 1.896629 +v 0.150566 -0.055682 1.899891 +v 0.148646 -0.055075 1.900393 +v 0.146731 -0.055700 1.899891 +v 0.145944 -0.057189 1.898680 +v 0.146745 -0.058671 1.897468 +v 0.148665 -0.059278 1.896966 +v 0.150580 -0.058654 1.897468 +v 0.151367 -0.057164 1.898680 +v 0.150312 -0.057758 1.902018 +v 0.148656 -0.057235 1.902451 +v 0.147005 -0.057773 1.902018 +v 0.146326 -0.059058 1.900973 +v 0.147017 -0.060336 1.899928 +v 0.148673 -0.060859 1.899496 +v 0.150324 -0.060321 1.899928 +v 0.151002 -0.059036 1.900973 +v 0.150057 -0.059767 1.904064 +v 0.148665 -0.059328 1.904428 +v 0.147278 -0.059780 1.904064 +v 0.146707 -0.060860 1.903186 +v 0.147288 -0.061934 1.902308 +v 0.148680 -0.062374 1.901944 +v 0.150067 -0.061921 1.902308 +v 0.150638 -0.060842 1.903186 +v 0.149802 -0.061579 1.905866 +v 0.148674 -0.061222 1.906161 +v 0.147550 -0.061589 1.905866 +v 0.147088 -0.062464 1.905155 +v 0.147558 -0.063334 1.904444 +v 0.148686 -0.063690 1.904149 +v 0.149810 -0.063324 1.904444 +v 0.150272 -0.062449 1.905155 +v 0.149547 -0.063588 1.907912 +v 0.148684 -0.063315 1.908138 +v 0.147823 -0.063596 1.907912 +v 0.147469 -0.064266 1.907368 +v 0.147829 -0.064933 1.906823 +v 0.148693 -0.065205 1.906597 +v 0.149554 -0.064924 1.906823 +v 0.149908 -0.064255 1.907368 +v 0.149293 -0.065598 1.909958 +v 0.148694 -0.065409 1.910115 +v 0.148096 -0.065603 1.909958 +v 0.147851 -0.066068 1.909580 +v 0.148101 -0.066531 1.909202 +v 0.148700 -0.066720 1.909045 +v 0.149297 -0.066525 1.909202 +v 0.149543 -0.066060 1.909580 +v 0.149038 -0.067409 1.911761 +v 0.148703 -0.067303 1.911848 +v 0.148369 -0.067412 1.911761 +v 0.148231 -0.067672 1.911549 +v 0.148371 -0.067931 1.911338 +v 0.148706 -0.068037 1.911250 +v 0.149040 -0.067928 1.911338 +v 0.149177 -0.067668 1.911549 +v 0.148783 -0.069419 1.913807 +v 0.148712 -0.069396 1.913825 +v 0.148642 -0.069419 1.913807 +v 0.148613 -0.069474 1.913762 +v 0.148642 -0.069529 1.913717 +v 0.148713 -0.069551 1.913699 +v 0.148784 -0.069528 1.913717 +v 0.148813 -0.069473 1.913762 +v 0.096000 -0.200031 1.780344 +v 0.093587 -0.200168 1.781260 +v 0.091247 -0.199564 1.780344 +v 0.090351 -0.198574 1.778131 +v 0.091423 -0.197777 1.775918 +v 0.093836 -0.197640 1.775002 +v 0.096176 -0.198244 1.775918 +v 0.097072 -0.199234 1.778131 +v 0.095311 -0.204415 1.778268 +v 0.093158 -0.204537 1.779086 +v 0.091070 -0.203999 1.778268 +v 0.090270 -0.203115 1.776294 +v 0.091227 -0.202404 1.774320 +v 0.093380 -0.202282 1.773502 +v 0.095467 -0.202821 1.774320 +v 0.096267 -0.203704 1.776294 +v 0.094621 -0.208800 1.776192 +v 0.092729 -0.208907 1.776911 +v 0.090894 -0.208434 1.776192 +v 0.090190 -0.207657 1.774456 +v 0.091031 -0.207032 1.772721 +v 0.092924 -0.206925 1.772002 +v 0.094759 -0.207398 1.772721 +v 0.095462 -0.208175 1.774456 +v 0.093880 -0.213719 1.773898 +v 0.092247 -0.213811 1.774518 +v 0.090664 -0.213403 1.773898 +v 0.090058 -0.212733 1.772401 +v 0.090783 -0.212194 1.770904 +v 0.092415 -0.212101 1.770284 +v 0.093998 -0.212510 1.770904 +v 0.094605 -0.213180 1.772401 +v 0.093155 -0.218460 1.771677 +v 0.091783 -0.218537 1.772198 +v 0.090452 -0.218194 1.771677 +v 0.089942 -0.217631 1.770418 +v 0.090552 -0.217178 1.769160 +v 0.091924 -0.217100 1.768639 +v 0.093255 -0.217443 1.769160 +v 0.093765 -0.218006 1.770418 +v 0.092483 -0.222666 1.769673 +v 0.091371 -0.222729 1.770096 +v 0.090293 -0.222451 1.769673 +v 0.089880 -0.221994 1.768654 +v 0.090374 -0.221627 1.767634 +v 0.091486 -0.221564 1.767211 +v 0.092564 -0.221842 1.767634 +v 0.092978 -0.222298 1.768654 +v 0.091759 -0.227407 1.767452 +v 0.090907 -0.227455 1.767776 +v 0.090081 -0.227242 1.767452 +v 0.089764 -0.226892 1.766671 +v 0.090143 -0.226611 1.765890 +v 0.090995 -0.226562 1.765566 +v 0.091821 -0.226775 1.765890 +v 0.092138 -0.227125 1.766671 +v 0.091035 -0.232147 1.765231 +v 0.090443 -0.232181 1.765456 +v 0.089869 -0.232033 1.765231 +v 0.089649 -0.231790 1.764688 +v 0.089912 -0.231594 1.764146 +v 0.090504 -0.231561 1.763921 +v 0.091078 -0.231709 1.764146 +v 0.091298 -0.231952 1.764688 +v 0.090363 -0.236353 1.763228 +v 0.090031 -0.236372 1.763354 +v 0.089710 -0.236289 1.763228 +v 0.089586 -0.236153 1.762924 +v 0.089734 -0.236044 1.762619 +v 0.090065 -0.236025 1.762494 +v 0.090387 -0.236108 1.762619 +v 0.090510 -0.236244 1.762924 +v 0.089638 -0.241094 1.761006 +v 0.089567 -0.241098 1.761034 +v 0.089498 -0.241080 1.761006 +v 0.089471 -0.241051 1.760941 +v 0.089503 -0.241027 1.760875 +v 0.089574 -0.241023 1.760848 +v 0.089644 -0.241041 1.760875 +v 0.089670 -0.241071 1.760941 +v 0.127101 0.025780 1.996564 +v 0.127206 0.023200 1.997140 +v 0.128864 0.021220 1.996564 +v 0.131104 0.021000 1.995173 +v 0.132614 0.022669 1.993782 +v 0.132510 0.025250 1.993206 +v 0.130852 0.027230 1.993782 +v 0.128611 0.027450 1.995173 +v 0.128025 0.025855 1.997384 +v 0.128118 0.023552 1.997898 +v 0.129597 0.021786 1.997384 +v 0.131596 0.021590 1.996143 +v 0.132943 0.023079 1.994902 +v 0.132850 0.025381 1.994388 +v 0.131370 0.027148 1.994902 +v 0.129372 0.027344 1.996143 +v 0.128948 0.025929 1.998204 +v 0.129030 0.023905 1.998656 +v 0.130330 0.022352 1.998204 +v 0.132087 0.022180 1.997113 +v 0.133272 0.023489 1.996022 +v 0.133190 0.025513 1.995570 +v 0.131889 0.027065 1.996022 +v 0.130132 0.027238 1.997113 +v 0.129946 0.026031 1.999139 +v 0.130017 0.024286 1.999529 +v 0.131138 0.022947 1.999139 +v 0.132653 0.022798 1.998198 +v 0.133675 0.023927 1.997257 +v 0.133604 0.025673 1.996868 +v 0.132482 0.027012 1.997257 +v 0.130967 0.027160 1.998198 +v 0.130919 0.026125 2.000036 +v 0.130978 0.024658 2.000363 +v 0.131921 0.023532 2.000036 +v 0.133194 0.023407 1.999245 +v 0.134053 0.024356 1.998454 +v 0.133993 0.025823 1.998127 +v 0.133051 0.026949 1.998454 +v 0.131777 0.027074 1.999245 +v 0.131818 0.026189 2.000818 +v 0.131866 0.025001 2.001083 +v 0.132629 0.024089 2.000818 +v 0.133661 0.023988 2.000177 +v 0.134357 0.024757 1.999536 +v 0.134308 0.025945 1.999271 +v 0.133545 0.026857 1.999536 +v 0.132513 0.026958 2.000177 +v 0.132791 0.026283 2.001714 +v 0.132827 0.025373 2.001917 +v 0.133412 0.024674 2.001714 +v 0.134202 0.024597 2.001224 +v 0.134735 0.025185 2.000733 +v 0.134698 0.026095 2.000530 +v 0.134113 0.026794 2.000733 +v 0.133323 0.026871 2.001224 +v 0.133764 0.026376 2.002611 +v 0.133789 0.025744 2.002752 +v 0.134195 0.025260 2.002611 +v 0.134743 0.025206 2.002270 +v 0.135113 0.025614 2.001930 +v 0.135087 0.026246 2.001789 +v 0.134681 0.026731 2.001930 +v 0.134133 0.026784 2.002270 +v 0.134662 0.026440 2.003392 +v 0.134677 0.026087 2.003471 +v 0.134903 0.025816 2.003392 +v 0.135210 0.025786 2.003202 +v 0.135417 0.026015 2.003012 +v 0.135402 0.026368 2.002933 +v 0.135175 0.026639 2.003012 +v 0.134869 0.026669 2.003202 +v 0.135635 0.026534 2.004289 +v 0.135638 0.026459 2.004306 +v 0.135686 0.026402 2.004289 +v 0.135751 0.026395 2.004249 +v 0.135795 0.026444 2.004209 +v 0.135792 0.026518 2.004192 +v 0.135744 0.026576 2.004209 +v 0.135679 0.026582 2.004249 +v 0.177566 0.111114 1.888919 +v 0.177322 0.109025 1.889700 +v 0.177790 0.106974 1.888919 +v 0.178694 0.106163 1.887032 +v 0.179506 0.107067 1.885145 +v 0.179749 0.109156 1.884364 +v 0.179282 0.111207 1.885145 +v 0.178378 0.112018 1.887032 +v 0.181176 0.111087 1.890316 +v 0.180959 0.109222 1.891013 +v 0.181376 0.107391 1.890316 +v 0.182183 0.106667 1.888631 +v 0.182908 0.107474 1.886947 +v 0.183125 0.109339 1.886250 +v 0.182708 0.111170 1.886947 +v 0.181901 0.111894 1.888631 +v 0.184787 0.111059 1.891713 +v 0.184595 0.109418 1.892326 +v 0.184962 0.107807 1.891713 +v 0.185673 0.107170 1.890231 +v 0.186310 0.107880 1.888749 +v 0.186501 0.109521 1.888135 +v 0.186134 0.111132 1.888749 +v 0.185424 0.111769 1.890231 +v 0.188801 0.111053 1.893294 +v 0.188667 0.109639 1.893837 +v 0.189004 0.108249 1.893317 +v 0.189614 0.107699 1.892036 +v 0.190141 0.108310 1.890746 +v 0.190275 0.109725 1.890203 +v 0.189938 0.111114 1.890723 +v 0.189327 0.111665 1.892004 +v 0.192720 0.111210 1.894742 +v 0.192637 0.110022 1.895212 +v 0.192940 0.108854 1.894782 +v 0.193452 0.108391 1.893704 +v 0.193873 0.108904 1.892608 +v 0.193956 0.110092 1.892137 +v 0.193653 0.111259 1.892567 +v 0.193141 0.111723 1.893646 +v 0.196264 0.111347 1.896018 +v 0.196132 0.110378 1.896371 +v 0.196337 0.109427 1.896003 +v 0.196757 0.109052 1.895129 +v 0.197148 0.109471 1.894262 +v 0.197280 0.110440 1.893909 +v 0.197076 0.111391 1.894276 +v 0.196655 0.111767 1.895150 +v 0.200112 0.110992 1.897706 +v 0.199897 0.110253 1.897919 +v 0.199979 0.109525 1.897599 +v 0.200312 0.109236 1.896932 +v 0.200699 0.109554 1.896310 +v 0.200915 0.110294 1.896097 +v 0.200832 0.111021 1.896417 +v 0.200500 0.111310 1.897084 +v 0.203704 0.109963 1.899631 +v 0.203478 0.109463 1.899735 +v 0.203486 0.108966 1.899481 +v 0.203725 0.108762 1.899019 +v 0.204053 0.108972 1.898620 +v 0.204279 0.109472 1.898516 +v 0.204270 0.109969 1.898770 +v 0.204032 0.110172 1.899232 +v 0.206677 0.108567 1.901454 +v 0.206531 0.108289 1.901501 +v 0.206525 0.108010 1.901350 +v 0.206662 0.107894 1.901088 +v 0.206862 0.108008 1.900869 +v 0.207007 0.108286 1.900822 +v 0.207014 0.108565 1.900974 +v 0.206877 0.108681 1.901236 +v 0.210003 0.107050 1.903513 +v 0.209971 0.106982 1.903526 +v 0.209971 0.106914 1.903491 +v 0.210004 0.106886 1.903427 +v 0.210050 0.106915 1.903373 +v 0.210082 0.106983 1.903360 +v 0.210082 0.107051 1.903395 +v 0.210049 0.107079 1.903458 +v 0.094975 -0.129910 1.924542 +v 0.093362 -0.130947 1.925335 +v 0.091801 -0.132060 1.924542 +v 0.091207 -0.132598 1.922629 +v 0.091927 -0.132246 1.920715 +v 0.093540 -0.131209 1.919923 +v 0.095101 -0.130096 1.920715 +v 0.095695 -0.129558 1.922629 +v 0.095794 -0.131485 1.924440 +v 0.094354 -0.132411 1.925148 +v 0.092960 -0.133405 1.924440 +v 0.092429 -0.133885 1.922732 +v 0.093072 -0.133571 1.921023 +v 0.094513 -0.132645 1.920315 +v 0.095907 -0.131651 1.921023 +v 0.096437 -0.131171 1.922732 +v 0.096613 -0.133060 1.924338 +v 0.095345 -0.133875 1.924961 +v 0.094118 -0.134750 1.924338 +v 0.093651 -0.135173 1.922834 +v 0.094217 -0.134896 1.921330 +v 0.095485 -0.134081 1.920707 +v 0.096712 -0.133206 1.921330 +v 0.097179 -0.132783 1.922834 +v 0.097549 -0.134808 1.924248 +v 0.096454 -0.135511 1.924786 +v 0.095394 -0.136267 1.924248 +v 0.094990 -0.136633 1.922949 +v 0.095479 -0.136393 1.921650 +v 0.096574 -0.135690 1.921112 +v 0.097634 -0.134934 1.921650 +v 0.098038 -0.134568 1.922949 +v 0.098446 -0.136497 1.924154 +v 0.097523 -0.137090 1.924608 +v 0.096630 -0.137727 1.924154 +v 0.096290 -0.138035 1.923060 +v 0.096702 -0.137833 1.921965 +v 0.097625 -0.137240 1.921512 +v 0.098518 -0.136604 1.921965 +v 0.098858 -0.136296 1.923060 +v 0.099226 -0.138015 1.924048 +v 0.098476 -0.138497 1.924417 +v 0.097750 -0.139015 1.924048 +v 0.097474 -0.139265 1.923158 +v 0.097809 -0.139101 1.922269 +v 0.098559 -0.138619 1.921900 +v 0.099284 -0.138102 1.922269 +v 0.099561 -0.137851 1.923158 +v 0.100123 -0.139705 1.923954 +v 0.099545 -0.140076 1.924238 +v 0.098987 -0.140474 1.923954 +v 0.098774 -0.140667 1.923269 +v 0.099032 -0.140541 1.922584 +v 0.099609 -0.140170 1.922301 +v 0.100168 -0.139771 1.922584 +v 0.100380 -0.139579 1.923269 +v 0.101019 -0.141395 1.923860 +v 0.100615 -0.141655 1.924059 +v 0.100223 -0.141934 1.923860 +v 0.100074 -0.142069 1.923380 +v 0.100255 -0.141981 1.922900 +v 0.100659 -0.141721 1.922701 +v 0.101051 -0.141441 1.922900 +v 0.101200 -0.141306 1.923380 +v 0.101800 -0.142913 1.923754 +v 0.101567 -0.143062 1.923868 +v 0.101343 -0.143222 1.923754 +v 0.101257 -0.143299 1.923479 +v 0.101361 -0.143249 1.923203 +v 0.101593 -0.143100 1.923089 +v 0.101818 -0.142939 1.923203 +v 0.101903 -0.142862 1.923479 +v 0.102696 -0.144602 1.923660 +v 0.102637 -0.144641 1.923689 +v 0.102579 -0.144682 1.923660 +v 0.102557 -0.144702 1.923589 +v 0.102584 -0.144689 1.923519 +v 0.102643 -0.144650 1.923490 +v 0.102701 -0.144609 1.923519 +v 0.102723 -0.144589 1.923589 +v 0.146198 0.162585 1.869535 +v 0.148195 0.162072 1.870389 +v 0.150197 0.161578 1.869535 +v 0.151031 0.161392 1.867474 +v 0.150208 0.161623 1.865412 +v 0.148211 0.162136 1.864558 +v 0.146210 0.162629 1.865412 +v 0.145376 0.162816 1.867474 +v 0.146911 0.164508 1.869337 +v 0.148693 0.164050 1.870099 +v 0.150480 0.163609 1.869337 +v 0.151224 0.163443 1.867497 +v 0.150490 0.163649 1.865656 +v 0.148707 0.164107 1.864894 +v 0.146921 0.164548 1.865656 +v 0.146176 0.164714 1.867497 +v 0.147623 0.166430 1.869139 +v 0.149191 0.166028 1.869809 +v 0.150763 0.165640 1.869139 +v 0.151418 0.165494 1.867519 +v 0.150772 0.165675 1.865900 +v 0.149204 0.166078 1.865230 +v 0.147632 0.166466 1.865900 +v 0.146977 0.166612 1.867519 +v 0.148394 0.168588 1.868943 +v 0.149748 0.168240 1.869522 +v 0.151105 0.167905 1.868943 +v 0.151671 0.167779 1.867545 +v 0.151113 0.167936 1.866147 +v 0.149759 0.168283 1.865568 +v 0.148401 0.168618 1.866147 +v 0.147836 0.168744 1.867545 +v 0.149145 0.170667 1.868746 +v 0.150285 0.170374 1.869234 +v 0.151428 0.170092 1.868746 +v 0.151904 0.169986 1.867570 +v 0.151434 0.170118 1.866393 +v 0.150294 0.170410 1.865905 +v 0.149152 0.170692 1.866393 +v 0.148676 0.170799 1.867570 +v 0.149838 0.172512 1.868547 +v 0.150763 0.172274 1.868943 +v 0.151691 0.172045 1.868547 +v 0.152078 0.171959 1.867591 +v 0.151696 0.172066 1.866636 +v 0.150771 0.172303 1.866240 +v 0.149843 0.172532 1.866636 +v 0.149456 0.172619 1.867591 +v 0.150589 0.174591 1.868350 +v 0.151300 0.174408 1.868654 +v 0.152013 0.174232 1.868350 +v 0.152310 0.174166 1.867616 +v 0.152017 0.174248 1.866882 +v 0.151306 0.174431 1.866578 +v 0.150593 0.174607 1.866882 +v 0.150296 0.174673 1.867616 +v 0.151341 0.176670 1.868154 +v 0.151838 0.176542 1.868366 +v 0.152336 0.176419 1.868154 +v 0.152543 0.176373 1.867641 +v 0.152339 0.176430 1.867128 +v 0.151842 0.176558 1.866915 +v 0.151343 0.176681 1.867128 +v 0.151136 0.176727 1.867641 +v 0.152033 0.178515 1.867954 +v 0.152316 0.178442 1.868075 +v 0.152599 0.178372 1.867954 +v 0.152717 0.178346 1.867662 +v 0.152601 0.178378 1.867370 +v 0.152318 0.178451 1.867250 +v 0.152035 0.178521 1.867370 +v 0.151917 0.178547 1.867662 +v 0.152785 0.180594 1.867758 +v 0.152853 0.180576 1.867787 +v 0.152922 0.180559 1.867758 +v 0.152950 0.180553 1.867687 +v 0.152922 0.180561 1.867616 +v 0.152854 0.180578 1.867587 +v 0.152785 0.180595 1.867616 +v 0.152756 0.180602 1.867687 +v -0.164337 -0.119825 2.096795 +v -0.166272 -0.118192 2.097564 +v -0.168766 -0.117753 2.096795 +v -0.170358 -0.118766 2.094940 +v -0.170116 -0.120638 2.093086 +v -0.168181 -0.122272 2.092317 +v -0.165687 -0.122711 2.093086 +v -0.164095 -0.121697 2.094940 +v -0.165293 -0.121246 2.097900 +v -0.167019 -0.119789 2.098586 +v -0.169244 -0.119397 2.097900 +v -0.170665 -0.120301 2.096246 +v -0.170449 -0.121971 2.094591 +v -0.168723 -0.123429 2.093906 +v -0.166498 -0.123820 2.094591 +v -0.165077 -0.122916 2.096246 +v -0.166249 -0.122667 2.099006 +v -0.167767 -0.121386 2.099608 +v -0.169722 -0.121042 2.099006 +v -0.170971 -0.121836 2.097551 +v -0.170781 -0.123304 2.096097 +v -0.169264 -0.124585 2.095494 +v -0.167308 -0.124929 2.096097 +v -0.166060 -0.124135 2.097551 +v -0.167282 -0.124251 2.100266 +v -0.168590 -0.123146 2.100785 +v -0.170277 -0.122849 2.100266 +v -0.171354 -0.123535 2.099012 +v -0.171190 -0.124801 2.097757 +v -0.169882 -0.125906 2.097238 +v -0.168195 -0.126202 2.097757 +v -0.167118 -0.125517 2.099012 +v -0.168289 -0.125781 2.101475 +v -0.169389 -0.124852 2.101911 +v -0.170806 -0.124603 2.101475 +v -0.171711 -0.125179 2.100420 +v -0.171574 -0.126243 2.099366 +v -0.170474 -0.127171 2.098930 +v -0.169056 -0.127421 2.099366 +v -0.168151 -0.126844 2.100420 +v -0.169220 -0.127147 2.102529 +v -0.170110 -0.126394 2.102882 +v -0.171259 -0.126192 2.102529 +v -0.171992 -0.126659 2.101674 +v -0.171881 -0.127521 2.100820 +v -0.170990 -0.128274 2.100466 +v -0.169841 -0.128476 2.100820 +v -0.169108 -0.128009 2.101674 +v -0.170227 -0.128676 2.103737 +v -0.170909 -0.128100 2.104008 +v -0.171788 -0.127946 2.103737 +v -0.172350 -0.128303 2.103083 +v -0.172264 -0.128963 2.102429 +v -0.171582 -0.129539 2.102158 +v -0.170703 -0.129694 2.102429 +v -0.170141 -0.129337 2.103083 +v -0.171234 -0.130206 2.104946 +v -0.171707 -0.129806 2.105134 +v -0.172317 -0.129699 2.104946 +v -0.172707 -0.129947 2.104492 +v -0.172648 -0.130405 2.104038 +v -0.172174 -0.130805 2.103850 +v -0.171564 -0.130912 2.104038 +v -0.171174 -0.130664 2.104492 +v -0.172164 -0.131572 2.105999 +v -0.172429 -0.131349 2.106104 +v -0.172770 -0.131289 2.105999 +v -0.172988 -0.131428 2.105746 +v -0.172955 -0.131684 2.105492 +v -0.172690 -0.131907 2.105387 +v -0.172349 -0.131967 2.105492 +v -0.172131 -0.131829 2.105746 +v -0.173171 -0.133102 2.107208 +v -0.173227 -0.133055 2.107230 +v -0.173299 -0.133042 2.107208 +v -0.173345 -0.133071 2.107154 +v -0.173338 -0.133126 2.107100 +v -0.173282 -0.133173 2.107078 +v -0.173210 -0.133186 2.107100 +v -0.173164 -0.133156 2.107154 +v -0.142514 0.054383 2.124200 +v -0.140966 0.055513 2.124748 +v -0.140257 0.057294 2.124200 +v -0.140801 0.058681 2.122876 +v -0.142280 0.058862 2.121552 +v -0.143827 0.057732 2.121004 +v -0.144537 0.055952 2.121552 +v -0.143993 0.054565 2.122876 +v -0.143210 0.055172 2.124925 +v -0.141828 0.056181 2.125415 +v -0.141194 0.057771 2.124925 +v -0.141680 0.059010 2.123743 +v -0.143001 0.059172 2.122560 +v -0.144383 0.058162 2.122070 +v -0.145017 0.056573 2.122560 +v -0.144531 0.055334 2.123743 +v -0.143906 0.055960 2.125650 +v -0.142689 0.056849 2.126081 +v -0.142131 0.058249 2.125650 +v -0.142559 0.059340 2.124609 +v -0.143722 0.059482 2.123568 +v -0.144939 0.058593 2.123137 +v -0.145496 0.057194 2.123568 +v -0.145069 0.056103 2.124609 +v -0.144686 0.056814 2.126478 +v -0.143635 0.057582 2.126851 +v -0.143153 0.058792 2.126478 +v -0.143522 0.059734 2.125579 +v -0.144527 0.059857 2.124679 +v -0.145578 0.059089 2.124306 +v -0.146060 0.057880 2.124679 +v -0.145691 0.056937 2.125579 +v -0.145438 0.057646 2.127272 +v -0.144552 0.058294 2.127586 +v -0.144146 0.059313 2.127272 +v -0.144457 0.060107 2.126514 +v -0.145304 0.060211 2.125756 +v -0.146190 0.059564 2.125442 +v -0.146596 0.058544 2.125756 +v -0.146285 0.057750 2.126514 +v -0.146106 0.058413 2.127963 +v -0.145385 0.058940 2.128218 +v -0.145055 0.059769 2.127963 +v -0.145308 0.060415 2.127346 +v -0.145997 0.060499 2.126729 +v -0.146718 0.059973 2.126474 +v -0.147048 0.059144 2.126729 +v -0.146795 0.058498 2.127346 +v -0.146858 0.059245 2.128757 +v -0.146303 0.059651 2.128953 +v -0.146048 0.060290 2.128757 +v -0.146243 0.060788 2.128281 +v -0.146774 0.060853 2.127806 +v -0.147330 0.060447 2.127609 +v -0.147584 0.059808 2.127806 +v -0.147389 0.059310 2.128281 +v -0.147610 0.060077 2.129550 +v -0.147220 0.060362 2.129689 +v -0.147041 0.060811 2.129550 +v -0.147179 0.061161 2.129217 +v -0.147551 0.061206 2.128883 +v -0.147941 0.060921 2.128745 +v -0.148120 0.060473 2.128883 +v -0.147983 0.060123 2.129217 +v -0.148278 0.060844 2.130241 +v -0.148053 0.061008 2.130321 +v -0.147950 0.061267 2.130241 +v -0.148029 0.061468 2.130049 +v -0.148244 0.061495 2.129857 +v -0.148469 0.061330 2.129777 +v -0.148572 0.061072 2.129857 +v -0.148493 0.060870 2.130049 +v -0.149030 0.061676 2.131035 +v -0.148971 0.061720 2.131056 +v -0.148944 0.061788 2.131035 +v -0.148965 0.061841 2.130984 +v -0.149021 0.061848 2.130933 +v -0.149081 0.061805 2.130912 +v -0.149108 0.061736 2.130933 +v -0.149087 0.061683 2.130984 +v -0.240092 -0.070461 2.042834 +v -0.240723 -0.068489 2.043683 +v -0.241557 -0.066594 2.042834 +v -0.242106 -0.065886 2.040783 +v -0.242049 -0.066780 2.038733 +v -0.241419 -0.068752 2.037884 +v -0.240584 -0.070647 2.038733 +v -0.240035 -0.071355 2.040783 +v -0.242130 -0.070995 2.042879 +v -0.242693 -0.069235 2.043637 +v -0.243437 -0.067544 2.042879 +v -0.243928 -0.066912 2.041049 +v -0.243877 -0.067710 2.039218 +v -0.243314 -0.069470 2.038460 +v -0.242569 -0.071162 2.039218 +v -0.242079 -0.071793 2.041049 +v -0.244168 -0.071530 2.042924 +v -0.244663 -0.069981 2.043591 +v -0.245318 -0.068493 2.042924 +v -0.245749 -0.067937 2.041314 +v -0.245704 -0.068640 2.039703 +v -0.245209 -0.070188 2.039036 +v -0.244554 -0.071676 2.039703 +v -0.244123 -0.072232 2.041314 +v -0.246435 -0.072151 2.043001 +v -0.246862 -0.070814 2.043576 +v -0.247428 -0.069530 2.043001 +v -0.247800 -0.069050 2.041610 +v -0.247762 -0.069656 2.040220 +v -0.247334 -0.070993 2.039644 +v -0.246769 -0.072278 2.040220 +v -0.246396 -0.072758 2.041610 +v -0.248626 -0.072744 2.043067 +v -0.248985 -0.071618 2.043551 +v -0.249461 -0.070537 2.043067 +v -0.249775 -0.070133 2.041896 +v -0.249742 -0.070643 2.040726 +v -0.249382 -0.071769 2.040241 +v -0.248906 -0.072850 2.040726 +v -0.248593 -0.073254 2.041896 +v -0.250587 -0.073249 2.043101 +v -0.250879 -0.072336 2.043495 +v -0.251266 -0.071458 2.043101 +v -0.251520 -0.071130 2.042151 +v -0.251494 -0.071544 2.041201 +v -0.251201 -0.072458 2.040807 +v -0.250815 -0.073336 2.041201 +v -0.250560 -0.073664 2.042151 +v -0.252777 -0.073842 2.043167 +v -0.253002 -0.073140 2.043470 +v -0.253299 -0.072465 2.043167 +v -0.253495 -0.072213 2.042437 +v -0.253474 -0.072531 2.041707 +v -0.253250 -0.073234 2.041404 +v -0.252953 -0.073908 2.041707 +v -0.252757 -0.074160 2.042437 +v -0.254968 -0.074435 2.043233 +v -0.255125 -0.073944 2.043445 +v -0.255332 -0.073472 2.043233 +v -0.255469 -0.073296 2.042723 +v -0.255455 -0.073519 2.042213 +v -0.255298 -0.074009 2.042002 +v -0.255091 -0.074481 2.042213 +v -0.254954 -0.074657 2.042723 +v -0.256929 -0.074940 2.043268 +v -0.257019 -0.074661 2.043388 +v -0.257137 -0.074393 2.043268 +v -0.257214 -0.074293 2.042978 +v -0.257206 -0.074419 2.042688 +v -0.257117 -0.074698 2.042567 +v -0.256999 -0.074967 2.042688 +v -0.256921 -0.075067 2.042978 +v -0.259120 -0.075533 2.043334 +v -0.259142 -0.075465 2.043363 +v -0.259170 -0.075400 2.043334 +v -0.259189 -0.075376 2.043264 +v -0.259187 -0.075407 2.043194 +v -0.259165 -0.075474 2.043165 +v -0.259137 -0.075539 2.043194 +v -0.259118 -0.075563 2.043264 +v -0.096687 0.086627 2.102648 +v -0.095159 0.085790 2.103360 +v -0.093539 0.085148 2.102648 +v -0.092776 0.085078 2.100928 +v -0.093317 0.085620 2.099209 +v -0.094845 0.086457 2.098497 +v -0.096466 0.087098 2.099209 +v -0.097228 0.087169 2.100928 +v -0.095310 0.089123 2.102891 +v -0.093945 0.088375 2.103528 +v -0.092498 0.087802 2.102891 +v -0.091816 0.087739 2.101355 +v -0.092300 0.088223 2.099819 +v -0.093665 0.088971 2.099183 +v -0.095113 0.089544 2.099819 +v -0.095794 0.089607 2.101355 +v -0.093934 0.091619 2.103135 +v -0.092731 0.090960 2.103695 +v -0.091457 0.090455 2.103135 +v -0.090856 0.090400 2.101782 +v -0.091282 0.090827 2.100429 +v -0.092485 0.091485 2.099869 +v -0.093760 0.091990 2.100429 +v -0.094360 0.092045 2.101782 +v -0.092429 0.094387 2.103424 +v -0.091380 0.093838 2.103912 +v -0.090266 0.093428 2.103432 +v -0.089739 0.093397 2.102265 +v -0.090109 0.093763 2.101095 +v -0.091158 0.094312 2.100607 +v -0.092272 0.094721 2.101087 +v -0.092799 0.094752 2.102254 +v -0.091089 0.097125 2.103739 +v -0.090196 0.096682 2.104154 +v -0.089246 0.096362 2.103754 +v -0.088795 0.096351 2.102773 +v -0.089108 0.096657 2.101786 +v -0.090001 0.097100 2.101371 +v -0.090951 0.097420 2.101771 +v -0.091402 0.097430 2.102752 +v -0.089848 0.099658 2.104021 +v -0.089140 0.099255 2.104351 +v -0.088391 0.098939 2.104016 +v -0.088040 0.098896 2.103211 +v -0.088292 0.099151 2.102408 +v -0.089000 0.099554 2.102078 +v -0.089748 0.099870 2.102413 +v -0.090100 0.099913 2.103218 +v -0.088071 0.102332 2.104228 +v -0.087569 0.101946 2.104473 +v -0.087048 0.101607 2.104201 +v -0.086813 0.101514 2.103571 +v -0.087001 0.101720 2.102953 +v -0.087503 0.102106 2.102709 +v -0.088024 0.102445 2.102981 +v -0.088259 0.102539 2.103611 +v -0.085869 0.104632 2.104250 +v -0.085556 0.104313 2.104418 +v -0.085239 0.104014 2.104221 +v -0.085105 0.103911 2.103774 +v -0.085233 0.104063 2.103339 +v -0.085547 0.104381 2.103171 +v -0.085863 0.104680 2.103369 +v -0.085997 0.104784 2.103816 +v -0.083659 0.106353 2.104117 +v -0.083488 0.106158 2.104214 +v -0.083319 0.105971 2.104099 +v -0.083250 0.105903 2.103839 +v -0.083322 0.105992 2.103587 +v -0.083494 0.106188 2.103490 +v -0.083663 0.106374 2.103605 +v -0.083732 0.106443 2.103865 +v -0.081239 0.108281 2.103995 +v -0.081190 0.108229 2.104022 +v -0.081140 0.108180 2.103990 +v -0.081119 0.108163 2.103918 +v -0.081140 0.108188 2.103849 +v -0.081189 0.108240 2.103822 +v -0.081239 0.108289 2.103853 +v -0.081259 0.108306 2.103925 +v 0.130827 -0.148543 2.164459 +v 0.128426 -0.149209 2.165349 +v 0.126457 -0.150736 2.164459 +v 0.126074 -0.152230 2.162308 +v 0.127500 -0.152815 2.160157 +v 0.129901 -0.152149 2.159267 +v 0.131870 -0.150621 2.160157 +v 0.132254 -0.149128 2.162308 +v 0.132118 -0.151703 2.165999 +v 0.129976 -0.152298 2.166794 +v 0.128220 -0.153660 2.165999 +v 0.127878 -0.154993 2.164081 +v 0.129151 -0.155515 2.162163 +v 0.131293 -0.154920 2.161368 +v 0.133049 -0.153558 2.162163 +v 0.133391 -0.152225 2.164081 +v 0.133409 -0.154864 2.167541 +v 0.131527 -0.155386 2.168239 +v 0.129983 -0.156584 2.167541 +v 0.129682 -0.157755 2.165854 +v 0.130801 -0.158214 2.164168 +v 0.132684 -0.157692 2.163469 +v 0.134228 -0.156494 2.164168 +v 0.134528 -0.155323 2.165854 +v 0.134875 -0.158372 2.169292 +v 0.133251 -0.158823 2.169894 +v 0.131920 -0.159856 2.169292 +v 0.131661 -0.160866 2.167838 +v 0.132626 -0.161262 2.166383 +v 0.134249 -0.160811 2.165781 +v 0.135581 -0.159778 2.166383 +v 0.135840 -0.158768 2.167838 +v 0.136283 -0.161765 2.170973 +v 0.134918 -0.162144 2.171479 +v 0.133799 -0.163012 2.170973 +v 0.133581 -0.163861 2.169751 +v 0.134392 -0.164193 2.168529 +v 0.135757 -0.163815 2.168022 +v 0.136876 -0.162947 2.168529 +v 0.137094 -0.162098 2.169751 +v 0.137516 -0.164810 2.172444 +v 0.136410 -0.165117 2.172854 +v 0.135504 -0.165820 2.172444 +v 0.135327 -0.166508 2.171454 +v 0.135984 -0.166777 2.170464 +v 0.137090 -0.166470 2.170053 +v 0.137997 -0.165767 2.170464 +v 0.138173 -0.165079 2.171454 +v 0.138924 -0.168202 2.174125 +v 0.138077 -0.168437 2.174440 +v 0.137383 -0.168976 2.174125 +v 0.137248 -0.169502 2.173367 +v 0.137751 -0.169709 2.172609 +v 0.138598 -0.169474 2.172295 +v 0.139292 -0.168935 2.172609 +v 0.139427 -0.168409 2.173367 +v 0.140332 -0.171595 2.175807 +v 0.139744 -0.171758 2.176025 +v 0.139262 -0.172132 2.175807 +v 0.139168 -0.172497 2.175281 +v 0.139518 -0.172640 2.174754 +v 0.140105 -0.172477 2.174536 +v 0.140587 -0.172104 2.174754 +v 0.140681 -0.171738 2.175281 +v 0.141565 -0.174640 2.177278 +v 0.141236 -0.174731 2.177400 +v 0.140967 -0.174940 2.177278 +v 0.140914 -0.175144 2.176984 +v 0.141110 -0.175224 2.176689 +v 0.141438 -0.175133 2.176568 +v 0.141708 -0.174924 2.176689 +v 0.141760 -0.174720 2.176984 +v 0.142972 -0.178032 2.178959 +v 0.142903 -0.178051 2.178985 +v 0.142846 -0.178096 2.178959 +v 0.142835 -0.178139 2.178897 +v 0.142876 -0.178156 2.178835 +v 0.142946 -0.178136 2.178809 +v 0.143003 -0.178092 2.178835 +v 0.143014 -0.178049 2.178897 +v 0.154132 0.072111 2.291049 +v 0.154594 0.069606 2.291765 +v 0.156333 0.067745 2.291049 +v 0.158331 0.067618 2.289318 +v 0.159418 0.069300 2.287588 +v 0.158956 0.071805 2.286871 +v 0.157217 0.073666 2.287588 +v 0.155219 0.073793 2.289318 +v 0.155902 0.072707 2.292521 +v 0.156314 0.070473 2.293160 +v 0.157865 0.068812 2.292521 +v 0.159648 0.068699 2.290977 +v 0.160617 0.070199 2.289434 +v 0.160205 0.072434 2.288795 +v 0.158653 0.074094 2.289434 +v 0.156871 0.074208 2.290977 +v 0.157671 0.073304 2.293993 +v 0.158033 0.071339 2.294555 +v 0.159397 0.069880 2.293993 +v 0.160964 0.069780 2.292636 +v 0.161816 0.071099 2.291280 +v 0.161454 0.073064 2.290717 +v 0.160090 0.074523 2.291280 +v 0.158523 0.074623 2.292636 +v 0.159617 0.073989 2.295662 +v 0.159929 0.072295 2.296147 +v 0.161105 0.071036 2.295662 +v 0.162456 0.070950 2.294492 +v 0.163191 0.072088 2.293322 +v 0.162879 0.073782 2.292837 +v 0.161703 0.075041 2.293322 +v 0.160351 0.075126 2.294492 +v 0.161503 0.074645 2.297266 +v 0.161766 0.073221 2.297673 +v 0.162754 0.072163 2.297266 +v 0.163890 0.072091 2.296283 +v 0.164508 0.073047 2.295299 +v 0.164245 0.074471 2.294892 +v 0.163257 0.075529 2.295299 +v 0.162121 0.075601 2.296283 +v 0.163214 0.075212 2.298673 +v 0.163427 0.074058 2.299003 +v 0.164227 0.073201 2.298673 +v 0.165148 0.073142 2.297876 +v 0.165648 0.073917 2.297079 +v 0.165435 0.075071 2.296749 +v 0.164634 0.075928 2.297079 +v 0.163714 0.075986 2.297876 +v 0.165101 0.075867 2.300276 +v 0.165263 0.074984 2.300529 +v 0.165877 0.074328 2.300276 +v 0.166581 0.074283 2.299666 +v 0.166964 0.074876 2.299056 +v 0.166802 0.075759 2.298803 +v 0.166188 0.076416 2.299056 +v 0.165484 0.076460 2.299666 +v 0.166987 0.076523 2.301880 +v 0.167100 0.075910 2.302055 +v 0.167526 0.075454 2.301880 +v 0.168015 0.075423 2.301456 +v 0.168281 0.075835 2.301033 +v 0.168168 0.076448 2.300858 +v 0.167742 0.076903 2.301033 +v 0.167253 0.076934 2.301456 +v 0.168698 0.077090 2.303287 +v 0.168761 0.076747 2.303385 +v 0.168999 0.076492 2.303287 +v 0.169273 0.076475 2.303050 +v 0.169421 0.076705 2.302813 +v 0.169358 0.077048 2.302715 +v 0.169120 0.077302 2.302813 +v 0.168847 0.077320 2.303050 +v 0.170585 0.077745 2.304890 +v 0.170598 0.077673 2.304911 +v 0.170649 0.077619 2.304890 +v 0.170706 0.077615 2.304840 +v 0.170738 0.077664 2.304790 +v 0.170724 0.077737 2.304769 +v 0.170674 0.077790 2.304790 +v 0.170616 0.077794 2.304840 +v -0.026344 0.016589 2.319416 +v -0.026006 0.016322 2.319462 +v -0.025577 0.016360 2.319416 +v -0.025308 0.016681 2.319304 +v -0.025357 0.017097 2.319193 +v -0.025695 0.017364 2.319147 +v -0.026124 0.017326 2.319193 +v -0.026393 0.017004 2.319304 +v -0.026185 0.016993 2.320779 +v -0.025878 0.016750 2.320821 +v -0.025489 0.016785 2.320779 +v -0.025244 0.017077 2.320678 +v -0.025289 0.017454 2.320577 +v -0.025596 0.017697 2.320535 +v -0.025986 0.017662 2.320577 +v -0.026230 0.017370 2.320678 +v -0.026027 0.017396 2.322143 +v -0.025751 0.017178 2.322181 +v -0.025400 0.017210 2.322143 +v -0.025181 0.017472 2.322052 +v -0.025221 0.017812 2.321961 +v -0.025497 0.018030 2.321923 +v -0.025847 0.017999 2.321961 +v -0.026067 0.017736 2.322052 +v -0.025855 0.017845 2.323669 +v -0.025610 0.017652 2.323703 +v -0.025298 0.017680 2.323669 +v -0.025103 0.017913 2.323589 +v -0.025139 0.018214 2.323508 +v -0.025384 0.018408 2.323475 +v -0.025695 0.018380 2.323508 +v -0.025890 0.018147 2.323589 +v -0.025687 0.018279 2.325142 +v -0.025473 0.018110 2.325171 +v -0.025201 0.018134 2.325142 +v -0.025030 0.018338 2.325071 +v -0.025062 0.018602 2.325001 +v -0.025276 0.018771 2.324971 +v -0.025548 0.018747 2.325001 +v -0.025718 0.018543 2.325071 +v -0.025533 0.018668 2.326451 +v -0.025350 0.018523 2.326476 +v -0.025117 0.018544 2.326451 +v -0.024971 0.018718 2.326391 +v -0.024998 0.018944 2.326330 +v -0.025181 0.019089 2.326305 +v -0.025414 0.019068 2.326330 +v -0.025560 0.018894 2.326391 +v -0.025366 0.019102 2.327923 +v -0.025213 0.018982 2.327944 +v -0.025019 0.018999 2.327923 +v -0.024898 0.019144 2.327873 +v -0.024920 0.019332 2.327823 +v -0.025073 0.019452 2.327802 +v -0.025266 0.019435 2.327823 +v -0.025388 0.019290 2.327873 +v -0.025198 0.019536 2.329395 +v -0.025076 0.019440 2.329412 +v -0.024922 0.019454 2.329395 +v -0.024825 0.019570 2.329355 +v -0.024843 0.019719 2.329315 +v -0.024965 0.019815 2.329299 +v -0.025119 0.019801 2.329315 +v -0.025216 0.019686 2.329355 +v -0.025044 0.019925 2.330704 +v -0.024953 0.019854 2.330717 +v -0.024838 0.019864 2.330704 +v -0.024766 0.019950 2.330675 +v -0.024779 0.020061 2.330645 +v -0.024870 0.020133 2.330632 +v -0.024985 0.020123 2.330645 +v -0.025057 0.020037 2.330675 +v -0.024876 0.020359 2.332176 +v -0.024817 0.020312 2.332185 +v -0.024741 0.020319 2.332176 +v -0.024693 0.020375 2.332157 +v -0.024702 0.020449 2.332137 +v -0.024762 0.020496 2.332129 +v -0.024837 0.020489 2.332137 +v -0.024885 0.020433 2.332157 +v -0.003169 0.022041 2.410298 +v -0.008005 0.019484 2.412074 +v -0.011115 0.014983 2.410298 +v -0.010677 0.011174 2.406010 +v -0.006946 0.010289 2.401722 +v -0.002110 0.012846 2.399945 +v 0.001000 0.017347 2.401722 +v 0.000562 0.021156 2.406010 +v -0.002576 0.020497 2.410709 +v -0.006883 0.018220 2.412291 +v -0.009652 0.014213 2.410709 +v -0.009261 0.010821 2.406891 +v -0.005940 0.010033 2.403073 +v -0.001633 0.012310 2.401492 +v 0.001136 0.016317 2.403073 +v 0.000745 0.019709 2.406891 +v -0.001984 0.018953 2.411120 +v -0.005760 0.016956 2.412507 +v -0.008188 0.013442 2.411120 +v -0.007846 0.010468 2.407772 +v -0.004934 0.009777 2.404424 +v -0.001157 0.011774 2.403038 +v 0.001271 0.015288 2.404424 +v 0.000928 0.018261 2.407772 +v -0.001297 0.017301 2.411636 +v -0.004543 0.015585 2.412828 +v -0.006630 0.012565 2.411636 +v -0.006336 0.010009 2.408758 +v -0.003832 0.009415 2.405880 +v -0.000586 0.011131 2.404688 +v 0.001501 0.014151 2.405880 +v 0.001207 0.016707 2.408758 +v -0.000641 0.015686 2.412117 +v -0.003357 0.014250 2.413114 +v -0.005103 0.011723 2.412117 +v -0.004857 0.009585 2.409709 +v -0.002763 0.009088 2.407301 +v -0.000047 0.010523 2.406304 +v 0.001699 0.013051 2.407301 +v 0.001453 0.015189 2.409709 +v -0.000081 0.014177 2.412493 +v -0.002266 0.013022 2.413295 +v -0.003671 0.010988 2.412493 +v -0.003473 0.009267 2.410555 +v -0.001788 0.008867 2.408617 +v 0.000398 0.010023 2.407815 +v 0.001803 0.012057 2.408617 +v 0.001605 0.013777 2.410555 +v 0.000575 0.012562 2.412973 +v -0.001080 0.011687 2.413581 +v -0.002145 0.010147 2.412973 +v -0.001995 0.008843 2.411506 +v -0.000718 0.008540 2.410038 +v 0.000937 0.009415 2.409431 +v 0.002001 0.010956 2.410038 +v 0.001851 0.012259 2.411506 +v 0.001230 0.010947 2.413454 +v 0.000105 0.010352 2.413867 +v -0.000618 0.009305 2.413454 +v -0.000516 0.008419 2.412457 +v 0.000352 0.008213 2.411459 +v 0.001477 0.008808 2.411046 +v 0.002200 0.009855 2.411459 +v 0.002098 0.010741 2.412457 +v 0.001791 0.009438 2.413830 +v 0.001196 0.009124 2.414049 +v 0.000814 0.008570 2.413830 +v 0.000868 0.008102 2.413303 +v 0.001327 0.007993 2.412776 +v 0.001921 0.008307 2.412558 +v 0.002304 0.008861 2.412776 +v 0.002250 0.009329 2.413303 +v 0.002447 0.007822 2.414311 +v 0.002382 0.007788 2.414335 +v 0.002341 0.007729 2.414311 +v 0.002347 0.007678 2.414254 +v 0.002396 0.007666 2.414197 +v 0.002461 0.007700 2.414173 +v 0.002502 0.007760 2.414197 +v 0.002496 0.007811 2.414254 +v -0.037419 0.052861 2.423669 +v -0.032918 0.052948 2.424296 +v -0.029645 0.056037 2.423669 +v -0.029516 0.060320 2.422155 +v -0.032607 0.063288 2.420641 +v -0.037108 0.063202 2.420015 +v -0.040381 0.060112 2.420641 +v -0.040510 0.055829 2.422155 +v -0.037440 0.054127 2.425448 +v -0.033431 0.054203 2.426006 +v -0.030516 0.056955 2.425448 +v -0.030401 0.060771 2.424099 +v -0.033154 0.063414 2.422751 +v -0.037163 0.063338 2.422193 +v -0.040079 0.060585 2.422751 +v -0.040194 0.056770 2.424099 +v -0.037462 0.055392 2.427227 +v -0.033944 0.055459 2.427717 +v -0.031386 0.057874 2.427227 +v -0.031285 0.061221 2.426044 +v -0.033701 0.063540 2.424861 +v -0.037218 0.063473 2.424371 +v -0.039776 0.061059 2.424861 +v -0.039877 0.057711 2.426044 +v -0.037517 0.056740 2.429236 +v -0.034491 0.056798 2.429658 +v -0.032291 0.058875 2.429236 +v -0.032204 0.061754 2.428219 +v -0.034282 0.063749 2.427201 +v -0.037307 0.063691 2.426780 +v -0.039508 0.061614 2.427201 +v -0.039595 0.058735 2.428219 +v -0.037561 0.058060 2.431169 +v -0.035027 0.058108 2.431522 +v -0.033184 0.059848 2.431169 +v -0.033111 0.062259 2.430317 +v -0.034851 0.063930 2.429465 +v -0.037385 0.063882 2.429112 +v -0.039228 0.062142 2.429465 +v -0.039301 0.059731 2.430317 +v -0.037571 0.059298 2.432871 +v -0.035528 0.059337 2.433156 +v -0.034043 0.060739 2.432871 +v -0.033984 0.062682 2.432184 +v -0.035387 0.064029 2.431498 +v -0.037429 0.063990 2.431213 +v -0.038915 0.062588 2.431498 +v -0.038973 0.060644 2.432184 +v -0.037615 0.060618 2.434804 +v -0.036064 0.060647 2.435020 +v -0.034936 0.061712 2.434804 +v -0.034892 0.063188 2.434283 +v -0.035957 0.064210 2.433761 +v -0.037507 0.064181 2.433545 +v -0.038635 0.063116 2.433761 +v -0.038680 0.061640 2.434283 +v -0.037658 0.061938 2.436737 +v -0.036599 0.061958 2.436884 +v -0.035829 0.062685 2.436737 +v -0.035799 0.063693 2.436381 +v -0.036526 0.064392 2.436024 +v -0.037585 0.064371 2.435877 +v -0.038356 0.063644 2.436024 +v -0.038386 0.062636 2.436381 +v -0.037669 0.063176 2.438439 +v -0.037101 0.063187 2.438518 +v -0.036689 0.063576 2.438439 +v -0.036672 0.064116 2.438248 +v -0.037062 0.064490 2.438057 +v -0.037629 0.064479 2.437978 +v -0.038042 0.064090 2.438057 +v -0.038058 0.063550 2.438248 +v -0.037713 0.064496 2.440372 +v -0.037637 0.064497 2.440382 +v -0.037582 0.064549 2.440372 +v -0.037579 0.064622 2.440346 +v -0.037631 0.064672 2.440321 +v -0.037707 0.064670 2.440310 +v -0.037762 0.064618 2.440321 +v -0.037765 0.064546 2.440346 +v 0.241322 0.163311 0.770284 +v 0.241223 0.162597 0.770559 +v 0.241344 0.161886 0.770284 +v 0.241613 0.161595 0.769623 +v 0.241873 0.161894 0.768961 +v 0.241971 0.162609 0.768687 +v 0.241850 0.163319 0.768961 +v 0.241581 0.163610 0.769623 +v 0.243885 0.163133 0.771072 +v 0.243816 0.162637 0.771262 +v 0.243900 0.162144 0.771072 +v 0.244087 0.161942 0.770613 +v 0.244267 0.162150 0.770154 +v 0.244335 0.162645 0.769963 +v 0.244252 0.163139 0.770154 +v 0.244065 0.163341 0.770613 +v 0.246448 0.162955 0.771860 +v 0.246410 0.162678 0.771966 +v 0.246456 0.162402 0.771860 +v 0.246561 0.162289 0.771603 +v 0.246661 0.162405 0.771346 +v 0.246700 0.162682 0.771240 +v 0.246653 0.162958 0.771346 +v 0.246548 0.163071 0.771603 +v 0.249305 0.162781 0.772765 +v 0.249297 0.162722 0.772788 +v 0.249307 0.162664 0.772765 +v 0.249329 0.162640 0.772711 +v 0.249350 0.162665 0.772657 +v 0.249358 0.162723 0.772634 +v 0.249348 0.162782 0.772657 +v 0.249326 0.162806 0.772711 +v 0.124891 0.198816 0.665609 +v 0.125783 0.198594 0.665956 +v 0.126561 0.198105 0.665609 +v 0.126769 0.197636 0.664772 +v 0.126286 0.197461 0.663936 +v 0.125395 0.197682 0.663589 +v 0.124617 0.198171 0.663936 +v 0.124408 0.198641 0.664772 +v 0.125609 0.200135 0.664827 +v 0.126359 0.199949 0.665119 +v 0.127014 0.199537 0.664827 +v 0.127189 0.199142 0.664123 +v 0.126783 0.198994 0.663419 +v 0.126033 0.199181 0.663127 +v 0.125378 0.199592 0.663419 +v 0.125202 0.199988 0.664123 +v 0.126326 0.201454 0.664045 +v 0.126936 0.201303 0.664282 +v 0.127467 0.200969 0.664045 +v 0.127610 0.200648 0.663474 +v 0.127280 0.200528 0.662902 +v 0.126670 0.200679 0.662665 +v 0.126139 0.201013 0.662902 +v 0.125996 0.201334 0.663474 +v 0.127116 0.202942 0.663186 +v 0.127584 0.202826 0.663368 +v 0.127992 0.202570 0.663186 +v 0.128102 0.202323 0.662747 +v 0.127848 0.202231 0.662308 +v 0.127380 0.202347 0.662126 +v 0.126972 0.202604 0.662308 +v 0.126863 0.202850 0.662747 +v 0.127882 0.204374 0.662353 +v 0.128208 0.204293 0.662480 +v 0.128493 0.204114 0.662353 +v 0.128570 0.203942 0.662046 +v 0.128393 0.203878 0.661740 +v 0.128066 0.203959 0.661613 +v 0.127781 0.204138 0.661740 +v 0.127705 0.204310 0.662046 +v 0.128575 0.205637 0.661597 +v 0.128761 0.205591 0.661669 +v 0.128923 0.205489 0.661597 +v 0.128966 0.205391 0.661423 +v 0.128866 0.205355 0.661248 +v 0.128680 0.205401 0.661176 +v 0.128518 0.205503 0.661248 +v 0.128475 0.205601 0.661423 +v 0.129341 0.207069 0.660763 +v 0.129385 0.207058 0.660781 +v 0.129424 0.207034 0.660763 +v 0.129434 0.207010 0.660722 +v 0.129410 0.207002 0.660680 +v 0.129366 0.207013 0.660663 +v 0.129327 0.207037 0.660680 +v 0.129317 0.207060 0.660722 +v 0.261381 0.034185 0.837453 +v 0.261227 0.033416 0.837754 +v 0.261301 0.032635 0.837453 +v 0.261558 0.032300 0.836728 +v 0.261849 0.032607 0.836002 +v 0.262002 0.033376 0.835702 +v 0.261929 0.034156 0.836002 +v 0.261671 0.034491 0.836728 +v 0.265266 0.033749 0.838678 +v 0.265159 0.033213 0.838887 +v 0.265210 0.032669 0.838678 +v 0.265390 0.032435 0.838172 +v 0.265592 0.032649 0.837666 +v 0.265699 0.033185 0.837457 +v 0.265648 0.033729 0.837666 +v 0.265468 0.033962 0.838172 +v 0.269151 0.033313 0.839902 +v 0.269091 0.033010 0.840020 +v 0.269119 0.032702 0.839902 +v 0.269221 0.032570 0.839616 +v 0.269335 0.032691 0.839330 +v 0.269396 0.032994 0.839212 +v 0.269367 0.033302 0.839330 +v 0.269266 0.033434 0.839616 +v 0.273489 0.032854 0.841298 +v 0.273475 0.032784 0.841325 +v 0.273481 0.032712 0.841298 +v 0.273505 0.032682 0.841232 +v 0.273531 0.032710 0.841166 +v 0.273545 0.032780 0.841138 +v 0.273539 0.032851 0.841166 +v 0.273515 0.032882 0.841232 +v -0.166122 0.079134 1.044181 +v -0.166021 0.079178 1.044222 +v -0.165941 0.079253 1.044181 +v -0.165929 0.079316 1.044083 +v -0.165991 0.079330 1.043984 +v -0.166092 0.079286 1.043943 +v -0.166173 0.079210 1.043984 +v -0.166185 0.079147 1.044083 +v -0.167537 0.081305 1.045370 +v -0.167447 0.081344 1.045406 +v -0.167376 0.081410 1.045370 +v -0.167365 0.081466 1.045283 +v -0.167421 0.081478 1.045196 +v -0.167510 0.081439 1.045160 +v -0.167581 0.081372 1.045196 +v -0.167592 0.081317 1.045283 +v -0.168951 0.083476 1.046559 +v -0.168873 0.083509 1.046590 +v -0.168811 0.083567 1.046559 +v -0.168802 0.083616 1.046483 +v -0.168850 0.083626 1.046408 +v -0.168928 0.083592 1.046376 +v -0.168989 0.083534 1.046408 +v -0.168999 0.083486 1.046483 +v -0.170534 0.085903 1.047890 +v -0.170468 0.085931 1.047917 +v -0.170415 0.085981 1.047890 +v -0.170407 0.086022 1.047826 +v -0.170448 0.086030 1.047762 +v -0.170514 0.086002 1.047735 +v -0.170566 0.085953 1.047762 +v -0.170574 0.085912 1.047826 +v -0.316961 0.051062 1.059818 +v -0.316947 0.052716 1.060501 +v -0.317030 0.054368 1.059818 +v -0.317163 0.055050 1.058169 +v -0.317267 0.054363 1.056520 +v -0.317281 0.052709 1.055837 +v -0.317197 0.051057 1.056520 +v -0.317065 0.050375 1.058169 +v -0.321203 0.051237 1.059858 +v -0.321190 0.052627 1.060432 +v -0.321261 0.054016 1.059858 +v -0.321372 0.054589 1.058472 +v -0.321460 0.054012 1.057086 +v -0.321472 0.052622 1.056512 +v -0.321401 0.051233 1.057086 +v -0.321290 0.050660 1.058472 +v -0.325444 0.051412 1.059897 +v -0.325435 0.052539 1.060362 +v -0.325491 0.053664 1.059897 +v -0.325582 0.054128 1.058774 +v -0.325652 0.053660 1.057651 +v -0.325662 0.052534 1.057186 +v -0.325605 0.051409 1.057651 +v -0.325515 0.050944 1.058774 +v -0.330187 0.051577 1.059972 +v -0.330179 0.052440 1.060329 +v -0.330223 0.053301 1.059972 +v -0.330292 0.053657 1.059113 +v -0.330346 0.053298 1.058253 +v -0.330353 0.052436 1.057896 +v -0.330310 0.051575 1.058253 +v -0.330241 0.051219 1.059113 +v -0.334762 0.051745 1.060036 +v -0.334757 0.052344 1.060283 +v -0.334787 0.052942 1.060036 +v -0.334835 0.053188 1.059439 +v -0.334872 0.052940 1.058842 +v -0.334878 0.052341 1.058595 +v -0.334847 0.051743 1.058842 +v -0.334799 0.051497 1.059439 +v -0.338837 0.051924 1.060063 +v -0.338834 0.052259 1.060201 +v -0.338851 0.052593 1.060063 +v -0.338878 0.052731 1.059729 +v -0.338899 0.052592 1.059396 +v -0.338901 0.052257 1.059258 +v -0.338885 0.051923 1.059396 +v -0.338858 0.051785 1.059729 +v -0.343412 0.052092 1.060127 +v -0.343411 0.052163 1.060156 +v -0.343415 0.052233 1.060127 +v -0.343421 0.052263 1.060056 +v -0.343425 0.052233 1.059985 +v -0.343426 0.052163 1.059956 +v -0.343422 0.052092 1.059985 +v -0.343417 0.052063 1.060056 +v -0.120682 -0.190664 1.198579 +v -0.121960 -0.190584 1.199076 +v -0.123213 -0.190846 1.198579 +v -0.123707 -0.191298 1.197381 +v -0.123153 -0.191675 1.196182 +v -0.121875 -0.191755 1.195686 +v -0.120623 -0.191492 1.196182 +v -0.120128 -0.191040 1.197381 +v -0.120567 -0.195038 1.199883 +v -0.121643 -0.194970 1.200301 +v -0.122699 -0.195192 1.199883 +v -0.123115 -0.195573 1.198873 +v -0.122649 -0.195890 1.197863 +v -0.121572 -0.195957 1.197444 +v -0.120517 -0.195736 1.197863 +v -0.120100 -0.195355 1.198873 +v -0.120452 -0.199412 1.201186 +v -0.121327 -0.199357 1.201526 +v -0.122185 -0.199537 1.201186 +v -0.122524 -0.199847 1.200364 +v -0.122145 -0.200105 1.199543 +v -0.121269 -0.200160 1.199203 +v -0.120411 -0.199980 1.199543 +v -0.120072 -0.199670 1.200364 +v -0.120299 -0.204296 1.202665 +v -0.120974 -0.204254 1.202928 +v -0.121635 -0.204392 1.202665 +v -0.121896 -0.204631 1.202033 +v -0.121604 -0.204830 1.201400 +v -0.120929 -0.204872 1.201138 +v -0.120268 -0.204733 1.201400 +v -0.120007 -0.204495 1.202033 +v -0.120159 -0.209010 1.204087 +v -0.120633 -0.208980 1.204270 +v -0.121097 -0.209078 1.204087 +v -0.121280 -0.209245 1.203642 +v -0.121075 -0.209384 1.203198 +v -0.120601 -0.209414 1.203014 +v -0.120137 -0.209317 1.203198 +v -0.119954 -0.209149 1.203642 +v -0.120056 -0.213214 1.205331 +v -0.120329 -0.213197 1.205436 +v -0.120596 -0.213253 1.205331 +v -0.120701 -0.213349 1.205075 +v -0.120583 -0.213430 1.204820 +v -0.120311 -0.213447 1.204714 +v -0.120044 -0.213391 1.204820 +v -0.119938 -0.213294 1.205075 +v -0.119916 -0.217928 1.206751 +v -0.119988 -0.217924 1.206779 +v -0.120057 -0.217938 1.206751 +v -0.120085 -0.217963 1.206685 +v -0.120054 -0.217984 1.206618 +v -0.119983 -0.217989 1.206590 +v -0.119913 -0.217974 1.206618 +v -0.119886 -0.217949 1.206685 +v -0.063775 0.249682 1.389251 +v -0.063325 0.249374 1.389421 +v -0.062782 0.249325 1.389251 +v -0.062464 0.249563 1.388841 +v -0.062557 0.249949 1.388431 +v -0.063007 0.250256 1.388261 +v -0.063550 0.250306 1.388431 +v -0.063868 0.250068 1.388841 +v -0.063082 0.251131 1.390336 +v -0.062769 0.250918 1.390454 +v -0.062393 0.250883 1.390336 +v -0.062172 0.251049 1.390051 +v -0.062237 0.251316 1.389766 +v -0.062549 0.251530 1.389649 +v -0.062926 0.251564 1.389766 +v -0.063146 0.251399 1.390051 +v -0.062388 0.252581 1.391421 +v -0.062214 0.252461 1.391487 +v -0.062003 0.252442 1.391421 +v -0.061880 0.252535 1.391261 +v -0.061916 0.252684 1.391102 +v -0.062091 0.252804 1.391036 +v -0.062301 0.252823 1.391102 +v -0.062425 0.252731 1.391261 +v -0.061635 0.254198 1.392649 +v -0.061598 0.254172 1.392663 +v -0.061554 0.254168 1.392649 +v -0.061528 0.254188 1.392615 +v -0.061535 0.254219 1.392582 +v -0.061572 0.254245 1.392568 +v -0.061617 0.254249 1.392582 +v -0.061643 0.254229 1.392615 +v 0.199964 0.110890 1.897724 +v 0.200173 0.110179 1.898021 +v 0.200519 0.109523 1.897724 +v 0.200799 0.109306 1.897008 +v 0.200848 0.109656 1.896291 +v 0.200638 0.110368 1.895994 +v 0.200292 0.111024 1.896291 +v 0.200013 0.111240 1.897008 +v 0.203170 0.111953 1.898329 +v 0.203316 0.111456 1.898536 +v 0.203558 0.110997 1.898329 +v 0.203753 0.110846 1.897828 +v 0.203787 0.111090 1.897328 +v 0.203641 0.111587 1.897120 +v 0.203399 0.112046 1.897328 +v 0.203204 0.112197 1.897828 +v 0.206376 0.113015 1.898934 +v 0.206459 0.112732 1.899052 +v 0.206597 0.112472 1.898934 +v 0.206708 0.112386 1.898649 +v 0.206727 0.112525 1.898364 +v 0.206644 0.112807 1.898246 +v 0.206506 0.113068 1.898364 +v 0.206395 0.113154 1.898649 +v 0.209947 0.114225 1.899636 +v 0.209967 0.114157 1.899664 +v 0.210000 0.114094 1.899636 +v 0.210027 0.114073 1.899567 +v 0.210031 0.114107 1.899498 +v 0.210011 0.114175 1.899470 +v 0.209978 0.114238 1.899498 +v 0.209951 0.114259 1.899567 +v -0.088172 0.101919 2.104199 +v -0.087551 0.101812 2.104451 +v -0.086921 0.101831 2.104199 +v -0.086652 0.101964 2.103591 +v -0.086900 0.102133 2.102983 +v -0.087521 0.102240 2.102731 +v -0.088151 0.102221 2.102983 +v -0.088420 0.102088 2.103591 +v -0.087749 0.105292 2.104854 +v -0.087311 0.105217 2.105032 +v -0.086868 0.105230 2.104854 +v -0.086678 0.105324 2.104426 +v -0.086853 0.105443 2.103997 +v -0.087290 0.105518 2.103820 +v -0.087734 0.105505 2.103997 +v -0.087924 0.105412 2.104426 +v -0.087325 0.108666 2.105509 +v -0.087072 0.108622 2.105612 +v -0.086814 0.108630 2.105509 +v -0.086704 0.108684 2.105261 +v -0.086806 0.108753 2.105012 +v -0.087059 0.108797 2.104909 +v -0.087317 0.108789 2.105012 +v -0.087427 0.108735 2.105261 +v -0.086874 0.112436 2.106264 +v -0.086804 0.112424 2.106292 +v -0.086733 0.112426 2.106264 +v -0.086703 0.112441 2.106195 +v -0.086731 0.112460 2.106126 +v -0.086801 0.112472 2.106098 +v -0.086872 0.112470 2.106126 +v -0.086902 0.112455 2.106195 +vt 0.000000 1.000000 +vt 0.041667 1.000000 +vt 0.041667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.041667 0.125000 +vt 0.041667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.041667 0.250000 +vt 0.000000 0.375000 +vt 0.041667 0.375000 +vt 0.000000 0.500000 +vt 0.041667 0.500000 +vt 0.000000 0.625000 +vt 0.041667 0.625000 +vt 0.000000 0.750000 +vt 0.041667 0.750000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.083333 0.250000 +vt 0.083333 0.375000 +vt 0.083333 0.500000 +vt 0.083333 0.625000 +vt 0.083333 0.750000 +vt 0.125000 1.000000 +vt 0.125000 0.875000 +vt 0.125000 0.125000 +vt 0.125000 0.000000 +vt 0.125000 0.250000 +vt 0.125000 0.375000 +vt 0.125000 0.500000 +vt 0.125000 0.625000 +vt 0.125000 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.208333 1.000000 +vt 0.208333 0.875000 +vt 0.208333 0.125000 +vt 0.208333 0.000000 +vt 0.208333 0.250000 +vt 0.208333 0.375000 +vt 0.208333 0.500000 +vt 0.208333 0.625000 +vt 0.208333 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.291667 1.000000 +vt 0.291667 0.875000 +vt 0.291667 0.125000 +vt 0.291667 0.000000 +vt 0.291667 0.250000 +vt 0.291667 0.375000 +vt 0.291667 0.500000 +vt 0.291667 0.625000 +vt 0.291667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.375000 1.000000 +vt 0.375000 0.875000 +vt 0.375000 0.125000 +vt 0.375000 0.000000 +vt 0.375000 0.250000 +vt 0.375000 0.375000 +vt 0.375000 0.500000 +vt 0.375000 0.625000 +vt 0.375000 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.458333 1.000000 +vt 0.458333 0.875000 +vt 0.458333 0.125000 +vt 0.458333 0.000000 +vt 0.458333 0.250000 +vt 0.458333 0.375000 +vt 0.458333 0.500000 +vt 0.458333 0.625000 +vt 0.458333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.541667 1.000000 +vt 0.541667 0.875000 +vt 0.541667 0.125000 +vt 0.541667 0.000000 +vt 0.541667 0.250000 +vt 0.541667 0.375000 +vt 0.541667 0.500000 +vt 0.541667 0.625000 +vt 0.541667 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.625000 1.000000 +vt 0.625000 0.875000 +vt 0.625000 0.125000 +vt 0.625000 0.000000 +vt 0.625000 0.250000 +vt 0.625000 0.375000 +vt 0.625000 0.500000 +vt 0.625000 0.625000 +vt 0.625000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.708333 1.000000 +vt 0.708333 0.875000 +vt 0.708333 0.125000 +vt 0.708333 0.000000 +vt 0.708333 0.250000 +vt 0.708333 0.375000 +vt 0.708333 0.500000 +vt 0.708333 0.625000 +vt 0.708333 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.791667 1.000000 +vt 0.791667 0.875000 +vt 0.791667 0.125000 +vt 0.791667 0.000000 +vt 0.791667 0.250000 +vt 0.791667 0.375000 +vt 0.791667 0.500000 +vt 0.791667 0.625000 +vt 0.791667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.875000 1.000000 +vt 0.875000 0.875000 +vt 0.875000 0.125000 +vt 0.875000 0.000000 +vt 0.875000 0.250000 +vt 0.875000 0.375000 +vt 0.875000 0.500000 +vt 0.875000 0.625000 +vt 0.875000 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 0.958333 1.000000 +vt 0.958333 0.875000 +vt 0.958333 0.125000 +vt 0.958333 0.000000 +vt 0.958333 0.250000 +vt 0.958333 0.375000 +vt 0.958333 0.500000 +vt 0.958333 0.625000 +vt 0.958333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.066667 1.000000 +vt 0.066667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.066667 0.125000 +vt 0.066667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.066667 0.250000 +vt 0.000000 0.375000 +vt 0.066667 0.375000 +vt 0.000000 0.500000 +vt 0.066667 0.500000 +vt 0.000000 0.625000 +vt 0.066667 0.625000 +vt 0.000000 0.750000 +vt 0.066667 0.750000 +vt 0.133333 1.000000 +vt 0.133333 0.875000 +vt 0.133333 0.125000 +vt 0.133333 0.000000 +vt 0.133333 0.250000 +vt 0.133333 0.375000 +vt 0.133333 0.500000 +vt 0.133333 0.625000 +vt 0.133333 0.750000 +vt 0.200000 1.000000 +vt 0.200000 0.875000 +vt 0.200000 0.125000 +vt 0.200000 0.000000 +vt 0.200000 0.250000 +vt 0.200000 0.375000 +vt 0.200000 0.500000 +vt 0.200000 0.625000 +vt 0.200000 0.750000 +vt 0.266667 1.000000 +vt 0.266667 0.875000 +vt 0.266667 0.125000 +vt 0.266667 0.000000 +vt 0.266667 0.250000 +vt 0.266667 0.375000 +vt 0.266667 0.500000 +vt 0.266667 0.625000 +vt 0.266667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.400000 1.000000 +vt 0.400000 0.875000 +vt 0.400000 0.125000 +vt 0.400000 0.000000 +vt 0.400000 0.250000 +vt 0.400000 0.375000 +vt 0.400000 0.500000 +vt 0.400000 0.625000 +vt 0.400000 0.750000 +vt 0.466667 1.000000 +vt 0.466667 0.875000 +vt 0.466667 0.125000 +vt 0.466667 0.000000 +vt 0.466667 0.250000 +vt 0.466667 0.375000 +vt 0.466667 0.500000 +vt 0.466667 0.625000 +vt 0.466667 0.750000 +vt 0.533333 1.000000 +vt 0.533333 0.875000 +vt 0.533333 0.125000 +vt 0.533333 0.000000 +vt 0.533333 0.250000 +vt 0.533333 0.375000 +vt 0.533333 0.500000 +vt 0.533333 0.625000 +vt 0.533333 0.750000 +vt 0.600000 1.000000 +vt 0.600000 0.875000 +vt 0.600000 0.125000 +vt 0.600000 0.000000 +vt 0.600000 0.250000 +vt 0.600000 0.375000 +vt 0.600000 0.500000 +vt 0.600000 0.625000 +vt 0.600000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.733333 1.000000 +vt 0.733333 0.875000 +vt 0.733333 0.125000 +vt 0.733333 0.000000 +vt 0.733333 0.250000 +vt 0.733333 0.375000 +vt 0.733333 0.500000 +vt 0.733333 0.625000 +vt 0.733333 0.750000 +vt 0.800000 1.000000 +vt 0.800000 0.875000 +vt 0.800000 0.125000 +vt 0.800000 0.000000 +vt 0.800000 0.250000 +vt 0.800000 0.375000 +vt 0.800000 0.500000 +vt 0.800000 0.625000 +vt 0.800000 0.750000 +vt 0.866667 1.000000 +vt 0.866667 0.875000 +vt 0.866667 0.125000 +vt 0.866667 0.000000 +vt 0.866667 0.250000 +vt 0.866667 0.375000 +vt 0.866667 0.500000 +vt 0.866667 0.625000 +vt 0.866667 0.750000 +vt 0.933333 1.000000 +vt 0.933333 0.875000 +vt 0.933333 0.125000 +vt 0.933333 0.000000 +vt 0.933333 0.250000 +vt 0.933333 0.375000 +vt 0.933333 0.500000 +vt 0.933333 0.625000 +vt 0.933333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vn -0.7057 -0.7055 0.0650 +vn -0.7056 -0.7056 0.0650 +vn -0.9979 -0.0000 0.0654 +vn -0.9979 0.0001 0.0654 +vn -0.0001 -0.9979 0.0645 +vn 0.0000 -0.9979 0.0644 +vn 0.7056 -0.7057 0.0641 +vn 0.7057 -0.7056 0.0641 +vn 0.9979 0.0001 0.0641 +vn 0.9979 -0.0000 0.0641 +vn 0.7055 0.7057 0.0646 +vn 0.7056 0.7056 0.0646 +vn -0.0001 0.9979 0.0651 +vn 0.0000 0.9979 0.0651 +vn -0.7056 0.7056 0.0655 +vn -0.7056 -0.7059 0.0613 +vn -0.9981 -0.0001 0.0612 +vn 0.0002 -0.9981 0.0615 +vn 0.7058 -0.7057 0.0616 +vn 0.9981 -0.0001 0.0616 +vn 0.7059 0.7056 0.0615 +vn 0.0002 0.9981 0.0613 +vn -0.7057 0.7058 0.0612 +vn -0.7065 -0.7070 0.0328 +vn -0.9995 -0.0002 0.0310 +vn 0.0003 -0.9994 0.0352 +vn 0.7067 -0.7066 0.0367 +vn 0.9993 -0.0002 0.0365 +vn 0.7069 0.7064 0.0347 +vn 0.0003 0.9995 0.0323 +vn -0.7067 0.7068 0.0308 +vn -0.7069 -0.7072 0.0079 +vn -1.0000 -0.0001 0.0043 +vn 0.0002 -0.9999 0.0126 +vn 0.7071 -0.7070 0.0156 +vn 0.9999 -0.0001 0.0151 +vn 0.7072 0.7069 0.0115 +vn 0.0002 1.0000 0.0068 +vn -0.7071 0.7072 0.0039 +vn -0.7074 -0.7068 0.0079 +vn -1.0000 0.0002 0.0045 +vn -0.0003 -0.9999 0.0124 +vn 0.7070 -0.7071 0.0153 +vn 0.9999 0.0002 0.0149 +vn 0.7068 0.7073 0.0115 +vn -0.0003 1.0000 0.0071 +vn -0.7072 0.7070 0.0041 +vn -0.7076 -0.7065 0.0078 +vn -1.0000 0.0005 0.0075 +vn -0.0006 -1.0000 0.0089 +vn 0.7070 -0.7071 0.0101 +vn 0.9999 0.0005 0.0108 +vn 0.7065 0.7076 0.0105 +vn -0.0006 1.0000 0.0094 +vn -0.7071 0.7070 0.0082 +vn -0.7073 -0.7068 0.0088 +vn -0.9999 0.0002 0.0117 +vn -0.0003 -1.0000 0.0064 +vn 0.7070 -0.7071 0.0060 +vn 1.0000 0.0002 0.0077 +vn 0.7068 0.7073 0.0107 +vn -0.0003 0.9999 0.0130 +vn -0.7071 0.7070 0.0135 +vn -0.7064 -0.7077 0.0101 +vn -0.9999 -0.0008 0.0110 +vn 0.0005 -1.0000 0.0089 +vn 0.7069 -0.7073 0.0082 +vn 1.0000 -0.0008 0.0084 +vn 0.7077 0.7064 0.0094 +vn 0.0005 0.9999 0.0106 +vn -0.7072 0.7069 0.0113 +vn -0.7060 -0.7081 0.0119 +vn -1.0000 -0.0013 0.0049 +vn 0.0009 -0.9999 0.0173 +vn 0.7068 -0.7072 0.0179 +vn 0.9999 -0.0013 0.0134 +vn 0.7082 0.7060 0.0064 +vn 0.0009 1.0000 0.0010 +vn -0.7073 0.7069 0.0004 +vn -0.7065 -0.7075 0.0149 +vn -1.0000 -0.0008 -0.0002 +vn 0.0003 -0.9996 0.0270 +vn 0.7067 -0.7069 0.0290 +vn 0.9998 -0.0006 0.0197 +vn 0.7077 0.7065 0.0045 +vn 0.0005 1.0000 -0.0076 +vn -0.7073 0.7069 -0.0095 +vn -0.7080 -0.7060 0.0154 +vn -1.0000 0.0010 0.0009 +vn -0.0009 -0.9996 0.0267 +vn 0.7070 -0.7067 0.0280 +vn 0.9998 0.0012 0.0185 +vn 0.7062 0.7080 0.0039 +vn -0.0008 1.0000 -0.0073 +vn -0.7070 0.7072 -0.0085 +vn -0.7088 -0.7053 0.0135 +vn -1.0000 0.0019 0.0097 +vn -0.0016 -0.9999 0.0148 +vn 0.7072 -0.7069 0.0127 +vn 1.0000 0.0019 0.0085 +vn 0.7054 0.7088 0.0047 +vn -0.0015 1.0000 0.0035 +vn -0.7069 0.7073 0.0056 +vn -0.7079 -0.7062 0.0128 +vn -0.9998 0.0009 0.0199 +vn -0.0008 -1.0000 0.0039 +vn 0.7072 -0.7071 -0.0016 +vn 1.0000 0.0009 -0.0005 +vn 0.7063 0.7079 0.0066 +vn -0.0006 0.9999 0.0156 +vn -0.7068 0.7071 0.0211 +vn -0.7056 -0.7085 0.0120 +vn -0.9999 -0.0014 0.0171 +vn 0.0015 -1.0000 0.0056 +vn 0.7071 -0.7071 0.0016 +vn 1.0000 -0.0014 0.0023 +vn 0.7086 0.7056 0.0074 +vn 0.0016 0.9999 0.0138 +vn -0.7069 0.7071 0.0179 +vn -0.7048 -0.7093 0.0120 +vn -1.0000 -0.0025 0.0012 +vn 0.0021 -0.9998 0.0211 +vn 0.7068 -0.7070 0.0233 +vn 0.9998 -0.0024 0.0172 +vn 0.7094 0.7047 0.0064 +vn 0.0023 1.0000 -0.0028 +vn -0.7072 0.7070 -0.0050 +vn -0.7059 -0.7082 0.0131 +vn -0.9999 -0.0015 -0.0137 +vn 0.0009 -0.9993 0.0379 +vn 0.7064 -0.7063 0.0462 +vn 0.9994 -0.0008 0.0332 +vn 0.7084 0.7058 0.0065 +vn 0.0016 0.9998 -0.0184 +vn -0.7068 0.7069 -0.0268 +vn -0.7084 -0.7057 0.0097 +vn -0.9998 0.0015 -0.0174 +vn -0.0011 -0.9993 0.0369 +vn 0.7069 -0.7057 0.0481 +vn 0.9993 0.0023 0.0367 +vn 0.7057 0.7085 0.0096 +vn -0.0006 0.9998 -0.0175 +vn -0.7063 0.7073 -0.0286 +vn -0.7094 -0.7048 0.0019 +vn -1.0000 0.0029 -0.0088 +vn -0.0017 -0.9999 0.0169 +vn 0.7076 -0.7061 0.0273 +vn 0.9996 0.0034 0.0270 +vn 0.7044 0.7097 0.0163 +vn -0.0019 1.0000 0.0014 +vn -0.7065 0.7077 -0.0090 +vn -0.7080 -0.7062 -0.0048 +vn -1.0000 0.0013 0.0010 +vn -0.0003 -1.0000 -0.0021 +vn 0.7078 -0.7064 0.0075 +vn 0.9998 0.0019 0.0185 +vn 0.7055 0.7083 0.0243 +vn -0.0011 0.9998 0.0216 +vn -0.7069 0.7072 0.0120 +vn -0.7052 -0.7090 -0.0065 +vn -1.0000 -0.0023 -0.0024 +vn 0.0017 -1.0000 -0.0011 +vn 0.7069 -0.7072 0.0106 +vn 0.9998 -0.0018 0.0218 +vn 0.7083 0.7054 0.0260 +vn 0.0009 0.9998 0.0206 +vn -0.7076 0.7065 0.0089 +vn -0.7046 -0.7096 -0.0029 +vn -0.9999 -0.0031 -0.0170 +vn 0.0017 -0.9998 0.0181 +vn 0.7061 -0.7072 0.0340 +vn 0.9994 -0.0026 0.0354 +vn 0.7090 0.7048 0.0214 +vn 0.0018 1.0000 0.0003 +vn -0.7075 0.7065 -0.0157 +vn -0.7057 -0.7085 0.0016 +vn -0.9995 -0.0021 -0.0304 +vn 0.0004 -0.9993 0.0383 +vn 0.7054 -0.7064 0.0583 +vn 0.9988 -0.0011 0.0499 +vn 0.7082 0.7058 0.0181 +vn 0.0017 0.9998 -0.0188 +vn -0.7067 0.7065 -0.0389 +vn -0.7075 -0.7067 0.0027 +vn -0.9993 -0.0003 -0.0361 +vn -0.0014 -0.9990 0.0456 +vn 0.7052 -0.7058 0.0675 +vn 0.9985 0.0011 0.0555 +vn 0.7065 0.7075 0.0167 +vn 0.0005 0.9997 -0.0262 +vn -0.7061 0.7065 -0.0481 +vn -0.7085 -0.7057 0.0020 +vn -0.9993 0.0008 -0.0365 +vn -0.0023 -0.9990 0.0447 +vn 0.7054 -0.7057 0.0665 +vn 0.9985 0.0022 0.0547 +vn 0.7056 0.7085 0.0161 +vn -0.0004 0.9996 -0.0265 +vn -0.7059 0.7066 -0.0483 +vn -0.2749 0.6538 0.7049 +vn -0.2743 0.6520 0.7069 +vn -0.3487 0.9372 0.0005 +vn -0.3487 0.9372 -0.0003 +vn -0.0396 -0.0121 0.9991 +vn -0.0385 -0.0149 0.9991 +vn 0.2200 -0.6719 0.7072 +vn 0.2204 -0.6729 0.7062 +vn 0.3510 -0.9364 -0.0013 +vn 0.3509 -0.9364 -0.0004 +vn 0.2759 -0.6493 -0.7087 +vn 0.2765 -0.6512 -0.7068 +vn 0.0397 0.0186 -0.9990 +vn 0.0408 0.0158 -0.9990 +vn -0.2186 0.6747 -0.7050 +vn -0.2182 0.6737 -0.7060 +vn -0.2815 0.6463 0.7093 +vn -0.3647 0.9311 0.0011 +vn -0.0326 -0.0171 0.9993 +vn 0.2354 -0.6687 0.7053 +vn 0.3667 -0.9303 0.0013 +vn 0.2854 -0.6505 -0.7038 +vn 0.0378 0.0102 -0.9992 +vn -0.2321 0.6668 -0.7082 +vn -0.2657 0.6538 0.7085 +vn -0.3703 0.9289 0.0057 +vn -0.0068 0.0006 1.0000 +vn 0.2570 -0.6537 0.7118 +vn 0.3722 -0.9281 0.0068 +vn 0.2690 -0.6563 -0.7049 +vn 0.0068 0.0053 -1.0000 +vn -0.2584 0.6628 -0.7028 +vn -0.2445 0.6617 0.7087 +vn -0.3715 0.9284 0.0020 +vn 0.0260 0.0083 0.9996 +vn 0.2822 -0.6494 0.7062 +vn 0.3747 -0.9272 0.0015 +vn 0.2497 -0.6650 -0.7039 +vn -0.0211 -0.0131 -0.9997 +vn -0.2793 0.6490 -0.7076 +vn -0.3543 0.6053 0.7128 +vn -0.4810 0.8766 -0.0157 +vn -0.0101 -0.0364 0.9993 +vn 0.3359 -0.6451 0.6864 +vn 0.4854 -0.8742 -0.0138 +vn 0.3635 -0.6135 -0.7011 +vn 0.0384 -0.0084 -0.9992 +vn -0.3124 0.6109 -0.7275 +vn -0.5787 0.4368 0.6887 +vn -0.6857 0.7264 -0.0469 +vn -0.1099 -0.1230 0.9863 +vn 0.4133 -0.5953 0.6891 +vn 0.6928 -0.7211 0.0086 +vn 0.5897 -0.4492 -0.6712 +vn 0.1617 0.0718 -0.9842 +vn -0.3655 0.5617 -0.7423 +vn -0.7514 0.2239 0.6207 +vn -0.8427 0.5290 -0.0999 +vn -0.1980 -0.2163 0.9560 +vn 0.4638 -0.5206 0.7169 +vn 0.8496 -0.5225 0.0722 +vn 0.7593 -0.2326 -0.6078 +vn 0.2445 0.1892 -0.9510 +vn -0.4183 0.5087 -0.7525 +vn -0.7969 0.1614 0.5821 +vn -0.8753 0.4724 -0.1032 +vn -0.2578 -0.2438 0.9350 +vn 0.4377 -0.5087 0.7413 +vn 0.8756 -0.4714 0.1051 +vn 0.7909 -0.1524 -0.5927 +vn 0.2386 0.2563 -0.9367 +vn -0.4506 0.5132 -0.7305 +vn -0.7422 0.2520 0.6210 +vn -0.8232 0.5647 -0.0590 +vn -0.2384 -0.2042 0.9495 +vn 0.4076 -0.5457 0.7322 +vn 0.8197 -0.5673 0.0788 +vn 0.7396 -0.2455 -0.6267 +vn 0.2127 0.2244 -0.9510 +vn -0.4341 0.5568 -0.7082 +vn -0.6812 0.3364 0.6502 +vn -0.7596 0.6494 -0.0367 +vn -0.2070 -0.1719 0.9631 +vn 0.3915 -0.5816 0.7131 +vn 0.7607 -0.6479 0.0392 +vn 0.6775 -0.3275 -0.6586 +vn 0.1937 0.1866 -0.9632 +vn -0.4000 0.5888 -0.7024 +vn -0.6620 0.3749 0.6490 +vn -0.6799 0.7331 -0.0179 +vn -0.2541 -0.2079 0.9446 +vn 0.3132 -0.6711 0.6719 +vn 0.6897 -0.7240 -0.0119 +vn 0.6484 -0.3405 -0.6809 +vn 0.2312 0.2364 -0.9438 +vn -0.3127 0.6743 -0.6690 +vn -0.6556 0.3843 0.6499 +vn -0.5624 0.8258 0.0427 +vn -0.3635 -0.2912 0.8849 +vn 0.1555 -0.7978 0.5825 +vn 0.5788 -0.8116 -0.0788 +vn 0.6482 -0.3364 -0.6831 +vn 0.3416 0.3261 -0.8815 +vn -0.1535 0.7987 -0.5818 +vn -0.6464 0.3843 0.6592 +vn -0.4407 0.8878 0.1326 +vn -0.4753 -0.3519 0.8064 +vn -0.0141 -0.8840 0.4673 +vn 0.4572 -0.8753 -0.1578 +vn 0.6486 -0.3399 -0.6810 +vn 0.4598 0.3854 -0.8000 +vn 0.0127 0.8856 -0.4643 +vn -0.6417 0.3637 0.6753 +vn -0.3914 0.9005 0.1892 +vn -0.5150 -0.3863 0.7652 +vn -0.0870 -0.9089 0.4079 +vn 0.3923 -0.9006 -0.1871 +vn 0.6432 -0.3649 -0.6731 +vn 0.5171 0.3855 -0.7642 +vn 0.0884 0.9092 -0.4068 +vn -0.6430 0.3502 0.6811 +vn -0.3985 0.8962 0.1951 +vn -0.5086 -0.3954 0.7649 +vn -0.0830 -0.9084 0.4099 +vn 0.3899 -0.9035 -0.1779 +vn 0.6421 -0.3781 -0.6669 +vn 0.5198 0.3747 -0.7677 +vn 0.0865 0.9081 -0.4097 +vn -0.7198 -0.0252 0.6937 +vn -0.7061 -0.0270 0.7076 +vn -0.9985 0.0542 0.0048 +vn -0.9985 0.0541 -0.0044 +vn -0.0172 -0.0906 0.9957 +vn 0.0016 -0.0913 0.9958 +vn 0.7024 -0.1021 0.7044 +vn 0.7072 -0.1010 0.6998 +vn 0.9986 -0.0508 -0.0144 +vn 0.9987 -0.0509 -0.0046 +vn 0.6918 0.0316 -0.7214 +vn 0.7061 0.0298 -0.7075 +vn -0.0198 0.0948 -0.9953 +vn -0.0016 0.0942 -0.9956 +vn -0.7114 0.1031 -0.6952 +vn -0.7070 0.1043 -0.6995 +vn -0.6849 -0.0639 0.7258 +vn -0.9985 -0.0539 0.0125 +vn 0.0268 -0.0338 0.9991 +vn 0.7125 0.0163 0.7015 +vn 0.9982 0.0578 0.0146 +vn 0.7247 0.0678 -0.6858 +vn 0.0256 0.0405 -0.9989 +vn -0.6999 -0.0097 -0.7141 +vn -0.6615 -0.1290 0.7388 +vn -0.9498 -0.3109 0.0351 +vn 0.0047 0.1240 0.9923 +vn 0.6569 0.3045 0.6898 +vn 0.9478 0.3187 0.0118 +vn 0.7174 0.1577 -0.6785 +vn 0.0669 -0.0975 -0.9930 +vn -0.6434 -0.2990 -0.7047 +vn -0.6410 -0.1952 0.7423 +vn -0.8336 -0.5474 0.0738 +vn -0.0742 0.2649 0.9614 +vn 0.5257 0.5680 0.6333 +vn 0.8306 0.5550 -0.0456 +vn 0.6709 0.2306 -0.7048 +vn 0.1187 -0.2333 -0.9651 +vn -0.5139 -0.5641 -0.6463 +vn -0.6293 -0.2703 0.7287 +vn -0.7837 -0.6178 0.0646 +vn -0.0984 0.2430 0.9650 +vn 0.4927 0.6111 0.6196 +vn 0.7853 0.6116 -0.0959 +vn 0.6115 0.2521 -0.7500 +vn 0.0848 -0.2496 -0.9646 +vn -0.4870 -0.6057 -0.6292 +vn -0.6121 -0.3162 0.7248 +vn -0.8489 -0.5272 0.0367 +vn -0.0064 0.0881 0.9961 +vn 0.6125 0.4448 0.6534 +vn 0.8468 0.5236 -0.0941 +vn 0.5694 0.2883 -0.7699 +vn -0.0282 -0.1066 -0.9939 +vn -0.6062 -0.4387 -0.6634 +vn -0.5772 -0.3527 0.7365 +vn -0.9020 -0.4291 0.0472 +vn 0.0948 -0.0653 0.9934 +vn 0.7112 0.2629 0.6520 +vn 0.8979 0.4330 -0.0792 +vn 0.5531 0.3464 -0.7577 +vn -0.1077 0.0609 -0.9923 +vn -0.7042 -0.2572 -0.6618 +vn -0.5487 -0.3579 0.7555 +vn -0.8970 -0.4355 0.0758 +vn 0.1143 -0.0727 0.9908 +vn 0.7085 0.2534 0.6587 +vn 0.8985 0.4361 -0.0511 +vn 0.5680 0.3678 -0.7363 +vn -0.1012 0.0824 -0.9914 +vn -0.7131 -0.2529 -0.6538 +vn -0.5714 -0.3040 0.7623 +vn -0.8654 -0.4939 0.0842 +vn 0.0451 0.0579 0.9973 +vn 0.6335 0.3864 0.6703 +vn 0.8661 0.4986 -0.0371 +vn 0.5994 0.3239 -0.7320 +vn -0.0314 -0.0471 -0.9984 +vn -0.6473 -0.3909 -0.6544 +vn -0.6081 -0.2566 0.7512 +vn -0.8325 -0.5484 0.0786 +vn -0.0336 0.1817 0.9828 +vn 0.5576 0.5152 0.6509 +vn 0.8301 0.5549 -0.0549 +vn 0.6221 0.2732 -0.7337 +vn 0.0446 -0.1719 -0.9841 +vn -0.5629 -0.5154 -0.6461 +vn -0.5871 -0.3027 0.7508 +vn -0.7881 -0.6118 0.0680 +vn -0.0331 0.1888 0.9815 +vn 0.5361 0.5654 0.6268 +vn 0.7873 0.6099 -0.0903 +vn 0.5848 0.3050 -0.7516 +vn 0.0483 -0.1734 -0.9837 +vn -0.5195 -0.5540 -0.6505 +vn -0.4926 -0.4170 0.7638 +vn -0.7289 -0.6809 0.0712 +vn 0.0435 0.1021 0.9938 +vn 0.5487 0.5562 0.6241 +vn 0.7259 0.6795 -0.1061 +vn 0.4866 0.4144 -0.7691 +vn -0.0281 -0.0842 -0.9960 +vn -0.5303 -0.5372 -0.6559 +vn -0.3841 -0.5182 0.7642 +vn -0.6624 -0.7453 0.0764 +vn 0.1245 0.0211 0.9920 +vn 0.5550 0.5446 0.6288 +vn 0.6581 0.7466 -0.0975 +vn 0.3829 0.5199 -0.7636 +vn -0.1114 -0.0030 -0.9938 +vn -0.5450 -0.5268 -0.6522 +vn -0.3385 -0.5579 0.7577 +vn -0.6279 -0.7738 0.0836 +vn 0.1482 -0.0152 0.9888 +vn 0.5480 0.5373 0.6411 +vn 0.6261 0.7754 -0.0825 +vn 0.3367 0.5594 -0.7575 +vn -0.1507 0.0161 -0.9885 +vn -0.5504 -0.5363 -0.6399 +vn -0.3407 -0.5563 0.7579 +vn -0.6284 -0.7727 0.0901 +vn 0.1427 -0.0191 0.9896 +vn 0.5449 0.5321 0.6481 +vn 0.6283 0.7742 -0.0763 +vn 0.3383 0.5578 -0.7579 +vn -0.1537 0.0099 -0.9881 +vn -0.5535 -0.5414 -0.6329 +vn 0.6676 -0.2397 0.7049 +vn 0.6661 -0.2390 0.7065 +vn 0.9196 -0.3929 0.0010 +vn 0.9196 -0.3929 0.0012 +vn 0.0253 0.0528 0.9983 +vn 0.0221 0.0541 0.9983 +vn -0.6334 0.3143 0.7072 +vn -0.6352 0.3149 0.7053 +vn -0.9206 0.3905 -0.0005 +vn -0.9206 0.3904 -0.0008 +vn -0.6657 0.2358 -0.7079 +vn -0.6672 0.2366 -0.7063 +vn -0.0200 -0.0580 -0.9981 +vn -0.0232 -0.0566 -0.9981 +vn 0.6359 -0.3180 -0.7033 +vn 0.6341 -0.3174 -0.7051 +vn 0.6699 -0.2240 0.7078 +vn 0.9272 -0.3746 -0.0006 +vn 0.0182 0.0574 0.9982 +vn -0.6426 0.3038 0.7035 +vn -0.9282 0.3720 0.0000 +vn -0.6749 0.2235 -0.7032 +vn -0.0282 -0.0562 -0.9980 +vn 0.6366 -0.3045 -0.7085 +vn 0.6820 -0.1830 0.7081 +vn 0.9480 -0.3182 -0.0037 +vn 0.0138 0.0591 0.9982 +vn -0.6589 0.2647 0.7041 +vn -0.9488 0.3159 0.0044 +vn -0.6921 0.1844 -0.6979 +vn -0.0331 -0.0553 -0.9979 +vn 0.6489 -0.2646 -0.7134 +vn 0.6971 -0.1420 0.7028 +vn 0.9659 -0.2588 -0.0082 +vn 0.0178 0.0574 0.9982 +vn -0.6699 0.2218 0.7085 +vn -0.9666 0.2562 0.0077 +vn -0.7026 0.1411 -0.6974 +vn -0.0290 -0.0572 -0.9979 +vn 0.6636 -0.2233 -0.7140 +vn 0.7037 -0.1510 0.6943 +vn 0.9604 -0.2783 -0.0088 +vn 0.0359 0.0640 0.9973 +vn -0.6574 0.2417 0.7138 +vn -0.9614 0.2751 0.0041 +vn -0.6925 0.1439 -0.7069 +vn -0.0168 -0.0724 -0.9972 +vn 0.6643 -0.2461 -0.7058 +vn 0.6887 -0.2057 0.6953 +vn 0.9246 -0.3810 -0.0015 +vn 0.0514 0.0896 0.9947 +vn -0.6232 0.3341 0.7071 +vn -0.9259 0.3777 -0.0082 +vn -0.6707 0.1933 -0.7161 +vn -0.0222 -0.1043 -0.9943 +vn 0.6331 -0.3396 -0.6956 +vn 0.6615 -0.2537 0.7057 +vn 0.8779 -0.4786 0.0134 +vn 0.0585 0.1195 0.9911 +vn -0.5828 0.4239 0.6933 +vn -0.8793 0.4759 -0.0185 +vn -0.6518 0.2436 -0.7182 +vn -0.0416 -0.1316 -0.9904 +vn 0.5888 -0.4286 -0.6853 +vn 0.6399 -0.2661 0.7210 +vn 0.8694 -0.4935 0.0247 +vn 0.0371 0.1150 0.9927 +vn -0.5852 0.4274 0.6891 +vn -0.8702 0.4926 -0.0121 +vn -0.6511 0.2711 -0.7089 +vn -0.0487 -0.1117 -0.9925 +vn 0.5841 -0.4301 -0.6884 +vn 0.6311 -0.2687 0.7277 +vn 0.9027 -0.4295 0.0267 +vn -0.0046 0.0457 0.9989 +vn -0.6343 0.3317 0.6984 +vn -0.9036 0.4283 0.0002 +vn -0.6547 0.2784 -0.7027 +vn -0.0178 -0.0379 -0.9991 +vn 0.6347 -0.3345 -0.6966 +vn 0.6334 -0.2798 0.7215 +vn 0.9310 -0.3646 0.0190 +vn -0.0325 -0.0328 0.9989 +vn -0.6774 0.2316 0.6982 +vn -0.9322 0.3618 -0.0056 +vn -0.6463 0.2814 -0.7094 +vn 0.0210 0.0344 -0.9992 +vn 0.6775 -0.2343 -0.6972 +vn 0.6585 -0.2610 0.7059 +vn 0.9321 -0.3622 -0.0024 +vn -0.0100 -0.0045 0.9999 +vn -0.6747 0.2548 0.6928 +vn -0.9327 0.3596 -0.0279 +vn -0.6404 0.2511 -0.7258 +vn 0.0182 -0.0021 -0.9998 +vn 0.6643 -0.2541 -0.7030 +vn 0.6877 -0.2032 0.6970 +vn 0.9104 -0.4138 -0.0038 +vn 0.0505 0.1310 0.9901 +vn -0.6214 0.3866 0.6814 +vn -0.9132 0.4058 -0.0376 +vn -0.6635 0.1851 -0.7249 +vn -0.0370 -0.1398 -0.9895 +vn 0.6079 -0.3852 -0.6943 +vn 0.7116 -0.1430 0.6879 +vn 0.8873 -0.4610 0.0135 +vn 0.1105 0.2624 0.9586 +vn -0.5593 0.5104 0.6533 +vn -0.8916 0.4510 -0.0416 +vn -0.6971 0.1266 -0.7057 +vn -0.1027 -0.2686 -0.9578 +vn 0.5483 -0.5101 -0.6627 +vn 0.7160 -0.1117 0.6891 +vn 0.8804 -0.4730 0.0343 +vn 0.1322 0.3142 0.9401 +vn -0.5290 0.5554 0.6416 +vn -0.8814 0.4712 -0.0324 +vn -0.7177 0.1102 -0.6875 +vn -0.1336 -0.3160 -0.9393 +vn 0.5283 -0.5575 -0.6404 +vn 0.7111 -0.1080 0.6948 +vn 0.8819 -0.4695 0.0425 +vn 0.1285 0.3134 0.9409 +vn -0.5271 0.5530 0.6452 +vn -0.8806 0.4733 -0.0238 +vn -0.7217 0.1158 -0.6825 +vn -0.1352 -0.3127 -0.9402 +vn 0.5324 -0.5563 -0.6381 +vn -0.3214 0.6330 0.7043 +vn -0.3210 0.6319 0.7054 +vn -0.3825 0.9240 0.0007 +vn -0.3825 0.9240 0.0002 +vn -0.0715 -0.0283 0.9970 +vn -0.0708 -0.0300 0.9970 +vn 0.2213 -0.6735 0.7053 +vn 0.2216 -0.6741 0.7046 +vn 0.3849 -0.9230 -0.0009 +vn 0.3848 -0.9230 -0.0005 +vn 0.3230 -0.6298 -0.7064 +vn 0.3233 -0.6309 -0.7053 +vn 0.0724 0.0327 -0.9968 +vn 0.0731 0.0310 -0.9968 +vn -0.2196 0.6757 -0.7037 +vn -0.2193 0.6751 -0.7044 +vn -0.3257 0.6282 0.7066 +vn -0.3923 0.9198 0.0005 +vn -0.0674 -0.0314 0.9972 +vn 0.2306 -0.6713 0.7044 +vn 0.3945 -0.9189 0.0010 +vn 0.3289 -0.6303 -0.7032 +vn 0.0716 0.0276 -0.9970 +vn -0.2274 0.6706 -0.7061 +vn -0.3391 0.6191 0.7083 +vn -0.4251 0.9052 0.0000 +vn -0.0538 -0.0291 0.9981 +vn 0.2625 -0.6578 0.7060 +vn 0.4268 -0.9043 0.0053 +vn 0.3444 -0.6263 -0.6994 +vn 0.0611 0.0189 -0.9980 +vn -0.2587 0.6556 -0.7094 +vn -0.3546 0.6143 0.7049 +vn -0.4585 0.8887 -0.0039 +vn -0.0421 -0.0199 0.9989 +vn 0.2951 -0.6409 0.7086 +vn 0.4606 -0.8876 0.0058 +vn 0.3584 -0.6167 -0.7009 +vn 0.0471 0.0157 -0.9988 +vn -0.2917 0.6402 -0.7106 +vn -0.3556 0.6236 0.6962 +vn -0.4378 0.8990 -0.0091 +vn -0.0635 -0.0183 0.9978 +vn 0.2683 -0.6516 0.7095 +vn 0.4413 -0.8974 -0.0015 +vn 0.3527 -0.6096 -0.7099 +vn 0.0587 0.0347 -0.9977 +vn -0.2667 0.6557 -0.7063 +vn -0.3363 0.6435 0.6876 +vn -0.3265 0.9452 -0.0047 +vn -0.1490 -0.0387 0.9881 +vn 0.1321 -0.7074 0.6944 +vn 0.3333 -0.9424 -0.0270 +vn 0.3316 -0.6057 -0.7233 +vn 0.1376 0.0786 -0.9874 +vn -0.1320 0.7122 -0.6895 +vn -0.3126 0.6392 0.7026 +vn -0.2107 0.9772 0.0266 +vn -0.2300 -0.0767 0.9702 +vn -0.0100 -0.7483 0.6633 +vn 0.2167 -0.9755 -0.0381 +vn 0.3154 -0.6222 -0.7165 +vn 0.2293 0.0953 -0.9687 +vn 0.0125 0.7516 -0.6595 +vn -0.2999 0.6021 0.7400 +vn -0.2947 0.9544 0.0476 +vn -0.1285 -0.0885 0.9878 +vn 0.1118 -0.7183 0.6867 +vn 0.2919 -0.9564 0.0107 +vn 0.3123 -0.6606 -0.6827 +vn 0.1516 0.0346 -0.9878 +vn -0.1036 0.7206 -0.6855 +vn -0.2574 0.6049 0.7535 +vn -0.5538 0.8290 0.0776 +vn 0.1734 0.0501 0.9836 +vn 0.5067 -0.5244 0.6844 +vn 0.5715 -0.8203 0.0217 +vn 0.3266 -0.6735 -0.6631 +vn -0.1204 -0.1231 -0.9851 +vn -0.5072 0.5311 -0.6788 +vn -0.2438 0.6431 0.7259 +vn -0.7567 0.6381 0.1418 +vn 0.3957 0.2755 0.8761 +vn 0.8065 -0.2370 0.5416 +vn 0.7787 -0.6210 -0.0895 +vn 0.3112 -0.6615 -0.6823 +vn -0.3524 -0.3110 -0.8827 +vn -0.8082 0.2365 -0.5394 +vn -0.3292 0.6202 0.7120 +vn -0.8119 0.5719 0.1178 +vn 0.3636 0.2938 0.8840 +vn 0.8333 -0.2155 0.5090 +vn 0.7896 -0.5882 -0.1750 +vn 0.2791 -0.6048 -0.7459 +vn -0.3806 -0.2763 -0.8825 +vn -0.8231 0.2016 -0.5309 +vn -0.4180 0.5365 0.7331 +vn -0.7206 0.6910 0.0577 +vn 0.1511 0.0498 0.9873 +vn 0.6356 -0.4801 0.6046 +vn 0.7042 -0.6919 -0.1592 +vn 0.3532 -0.4851 -0.8000 +vn -0.1844 -0.0143 -0.9828 +vn -0.6190 0.4617 -0.6354 +vn -0.4995 0.4401 0.7462 +vn -0.6022 0.7949 0.0747 +vn -0.0930 -0.1894 0.9775 +vn 0.3743 -0.7042 0.6034 +vn 0.6086 -0.7815 -0.1376 +vn 0.4778 -0.3961 -0.7841 +vn 0.0782 0.2066 -0.9753 +vn -0.3611 0.6911 -0.6261 +vn -0.5338 0.3844 0.7532 +vn -0.5686 0.8140 0.1187 +vn -0.1862 -0.2690 0.9450 +vn 0.2698 -0.7640 0.5861 +vn 0.5699 -0.8135 -0.1158 +vn 0.5361 -0.3850 -0.7513 +vn 0.1878 0.2691 -0.9446 +vn -0.2691 0.7652 -0.5848 +vn -0.5267 0.3721 0.7643 +vn -0.5733 0.8079 0.1365 +vn -0.1778 -0.2711 0.9460 +vn 0.2699 -0.7579 0.5940 +vn 0.5679 -0.8173 -0.0975 +vn 0.5395 -0.4002 -0.7409 +vn 0.1886 0.2613 -0.9467 +vn -0.2771 0.7667 -0.5792 +vn 0.0237 -0.7005 0.7132 +vn 0.0225 -0.7118 0.7020 +vn -0.0300 -0.9995 -0.0053 +vn -0.0290 -0.9996 0.0015 +vn 0.0617 0.0094 0.9981 +vn 0.0610 -0.0060 0.9981 +vn 0.0632 0.7068 0.7045 +vn 0.0627 0.7025 0.7089 +vn 0.0281 0.9995 0.0120 +vn 0.0271 0.9996 0.0055 +vn -0.0240 0.7228 -0.6906 +vn -0.0252 0.7119 -0.7018 +vn -0.0631 0.0220 -0.9978 +vn -0.0637 0.0062 -0.9979 +vn -0.0653 -0.6978 -0.7133 +vn -0.0657 -0.7024 -0.7087 +vn -0.0174 -0.7238 0.6898 +vn -0.1213 -0.9926 -0.0063 +vn 0.0969 -0.0317 0.9948 +vn 0.1532 0.6890 0.7084 +vn 0.1157 0.9932 -0.0121 +vn 0.0076 0.6931 -0.7208 +vn -0.1049 -0.0117 -0.9944 +vn -0.1572 -0.7012 -0.6954 +vn -0.1099 -0.7063 0.6993 +vn -0.3265 -0.9449 0.0229 +vn 0.1726 -0.0571 0.9833 +vn 0.3560 0.6391 0.6817 +vn 0.3200 0.9463 -0.0450 +vn 0.0868 0.6693 -0.7379 +vn -0.1940 0.0016 -0.9810 +vn -0.3609 -0.6563 -0.6626 +vn -0.1924 -0.6621 0.7243 +vn -0.5161 -0.8535 0.0720 +vn 0.2467 -0.0844 0.9654 +vn 0.5443 0.5521 0.6316 +vn 0.5101 0.8554 -0.0903 +vn 0.1655 0.6375 -0.7525 +vn -0.2720 0.0464 -0.9612 +vn -0.5487 -0.5637 -0.6174 +vn -0.2031 -0.6363 0.7442 +vn -0.5882 -0.8022 0.1026 +vn 0.3024 -0.0945 0.9485 +vn 0.6287 0.5028 0.5932 +vn 0.5845 0.8040 -0.1093 +vn 0.1982 0.6352 -0.7465 +vn -0.3038 0.0963 -0.9479 +vn -0.6289 -0.4982 -0.5969 +vn -0.1635 -0.6631 0.7305 +vn -0.5670 -0.8186 0.0913 +vn 0.3366 -0.1125 0.9349 +vn 0.6352 0.5024 0.5866 +vn 0.5611 0.8214 -0.1019 +vn 0.1624 0.6649 -0.7290 +vn -0.3307 0.1251 -0.9354 +vn -0.6340 -0.4889 -0.5991 +vn -0.1287 -0.6922 0.7102 +vn -0.5469 -0.8330 0.0838 +vn 0.3656 -0.1428 0.9197 +vn 0.6438 0.4915 0.5865 +vn 0.5416 0.8357 -0.0914 +vn 0.1220 0.6899 -0.7135 +vn -0.3683 0.1434 -0.9186 +vn -0.6450 -0.4860 -0.5897 +vn -0.1414 -0.6724 0.7266 +vn -0.5467 -0.8312 0.1008 +vn 0.3423 -0.1266 0.9310 +vn 0.6290 0.4919 0.6019 +vn 0.5527 0.8298 -0.0775 +vn 0.1487 0.6817 -0.7164 +vn -0.3465 0.1268 -0.9294 +vn -0.6345 -0.5024 -0.5873 +vn -0.2094 -0.6086 0.7654 +vn -0.5144 -0.8503 0.1117 +vn 0.2094 -0.0255 0.9775 +vn 0.5096 0.5702 0.6444 +vn 0.5249 0.8496 -0.0520 +vn 0.2366 0.6427 -0.7287 +vn -0.2009 0.0439 -0.9786 +vn -0.5180 -0.5870 -0.6222 +vn -0.3004 -0.5694 0.7652 +vn -0.4856 -0.8700 0.0853 +vn 0.0555 0.0604 0.9966 +vn 0.3762 0.6521 0.6583 +vn 0.4829 0.8736 -0.0600 +vn 0.3050 0.5829 -0.7531 +vn -0.0590 -0.0577 -0.9966 +vn -0.3868 -0.6590 -0.6451 +vn -0.3500 -0.5983 0.7208 +vn -0.6232 -0.7807 0.0466 +vn 0.1375 -0.0492 0.9893 +vn 0.5474 0.5478 0.6326 +vn 0.6027 0.7866 -0.1340 +vn 0.2821 0.5376 -0.7946 +vn -0.1907 -0.0052 -0.9816 +vn -0.5535 -0.5352 -0.6382 +vn -0.3571 -0.6160 0.7021 +vn -0.8506 -0.4991 0.1654 +vn 0.3736 -0.3723 0.8496 +vn 0.8901 0.1336 0.4358 +vn 0.7943 0.5440 -0.2705 +vn 0.2142 0.5981 -0.7723 +vn -0.4609 0.3207 -0.8275 +vn -0.8859 -0.1206 -0.4479 +vn -0.3333 -0.6290 0.7024 +vn -0.8849 -0.2107 0.4153 +vn 0.4358 -0.6897 0.5783 +vn 0.9466 -0.3122 0.0800 +vn 0.8422 0.2698 -0.4667 +vn 0.2218 0.6661 -0.7121 +vn -0.5036 0.6689 -0.5468 +vn -0.9455 0.3128 -0.0905 +vn -0.2803 -0.6598 0.6972 +vn -0.8246 -0.1358 0.5492 +vn 0.4280 -0.7936 0.4325 +vn 0.8816 -0.4649 -0.0810 +vn 0.8261 0.1338 -0.5474 +vn 0.2844 0.6591 -0.6962 +vn -0.4258 0.7941 -0.4337 +vn -0.8821 0.4642 0.0805 +vn -0.2508 -0.6738 0.6950 +vn -0.8145 -0.1590 0.5579 +vn 0.4473 -0.7856 0.4274 +vn 0.8853 -0.4595 -0.0715 +vn 0.8382 0.1197 -0.5320 +vn 0.3136 0.6434 -0.6983 +vn -0.4081 0.7947 -0.4494 +vn -0.8847 0.4595 0.0786 +vn 0.5901 0.4054 0.6981 +vn 0.5882 0.4048 0.7001 +vn 0.8965 0.4430 0.0006 +vn 0.8967 0.4425 -0.0027 +vn -0.0636 0.1290 0.9896 +vn -0.0642 0.1286 0.9896 +vn -0.6798 -0.2244 0.6983 +vn -0.6787 -0.2237 0.6996 +vn -0.8949 -0.4462 -0.0034 +vn -0.8951 -0.4458 -0.0002 +vn -0.5849 -0.4069 -0.7016 +vn -0.5868 -0.4076 -0.6997 +vn 0.0662 -0.1311 -0.9892 +vn 0.0657 -0.1314 -0.9891 +vn 0.6790 0.2201 -0.7004 +vn 0.6801 0.2208 -0.6991 +vn 0.5902 0.3945 0.7043 +vn 0.8945 0.4470 0.0046 +vn -0.0568 0.1114 0.9922 +vn -0.6700 -0.2369 0.7035 +vn -0.8937 -0.4487 0.0049 +vn -0.5942 -0.3991 -0.6984 +vn 0.0565 -0.1151 -0.9917 +vn 0.6744 0.2362 -0.6995 +vn 0.6010 0.3658 0.7106 +vn 0.8872 0.4613 0.0084 +vn -0.0315 0.0581 0.9978 +vn -0.6446 -0.2833 0.7101 +vn -0.8865 -0.4626 0.0115 +vn -0.6114 -0.3734 -0.6977 +vn 0.0277 -0.0633 -0.9976 +vn 0.6519 0.2844 -0.7030 +vn 0.6189 0.3386 0.7088 +vn 0.8797 0.4755 0.0028 +vn -0.0011 0.0040 1.0000 +vn -0.6194 -0.3333 0.7108 +vn -0.8782 -0.4783 0.0077 +vn -0.6231 -0.3444 -0.7023 +vn 0.0005 -0.0080 -1.0000 +vn 0.6245 0.3325 -0.7068 +vn 0.6260 0.3498 0.6970 +vn 0.8874 0.4608 -0.0134 +vn -0.0074 0.0299 0.9995 +vn -0.6380 -0.3097 0.7050 +vn -0.8856 -0.4643 -0.0096 +vn -0.6095 -0.3455 -0.7136 +vn 0.0182 -0.0283 -0.9994 +vn 0.6341 0.3034 -0.7113 +vn 0.6089 0.3940 0.6885 +vn 0.9100 0.4145 -0.0142 +vn -0.0580 0.1377 0.9888 +vn -0.6926 -0.2040 0.6919 +vn -0.9064 -0.4219 -0.0200 +vn -0.5838 -0.3897 -0.7122 +vn 0.0719 -0.1345 -0.9883 +vn 0.6849 0.1955 -0.7019 +vn 0.5862 0.4360 0.6828 +vn 0.9292 0.3695 0.0022 +vn -0.1061 0.2441 0.9639 +vn -0.7368 -0.0953 0.6694 +vn -0.9256 -0.3778 -0.0238 +vn -0.5678 -0.4365 -0.6979 +vn 0.1166 -0.2426 -0.9631 +vn 0.7325 0.0890 -0.6750 +vn 0.5724 0.4396 0.6922 +vn 0.9339 0.3567 0.0235 +vn -0.1208 0.2656 0.9565 +vn -0.7433 -0.0631 0.6660 +vn -0.9341 -0.3569 -0.0130 +vn -0.5770 -0.4432 -0.6860 +vn 0.1210 -0.2692 -0.9555 +vn 0.7480 0.0630 -0.6607 +vn 0.5931 0.3678 0.7162 +vn 0.9344 0.3539 0.0396 +vn -0.0832 0.1717 0.9816 +vn -0.7125 -0.1227 0.6908 +vn -0.9369 -0.3496 0.0011 +vn -0.6111 -0.3738 -0.6977 +vn 0.0877 -0.1731 -0.9810 +vn 0.7325 0.1317 -0.6679 +vn 0.6267 0.2914 0.7227 +vn 0.9389 0.3430 0.0274 +vn -0.0466 0.0706 0.9964 +vn -0.6939 -0.1922 0.6940 +vn -0.9383 -0.3455 -0.0154 +vn -0.6307 -0.2973 -0.7168 +vn 0.0485 -0.0748 -0.9960 +vn 0.7004 0.1915 -0.6876 +vn 0.5986 0.4059 0.6906 +vn 0.9235 0.3831 -0.0214 +vn -0.1032 0.1746 0.9792 +vn -0.7347 -0.1633 0.6584 +vn -0.9155 -0.3997 -0.0462 +vn -0.5735 -0.4072 -0.7108 +vn 0.0825 -0.1908 -0.9782 +vn 0.6970 0.1319 -0.7048 +vn 0.4723 0.6728 0.5694 +vn 0.8816 0.4666 -0.0713 +vn -0.2463 0.4514 0.8576 +vn -0.7987 -0.0536 0.5993 +vn -0.8590 -0.5119 -0.0070 +vn -0.4373 -0.6742 -0.5951 +vn 0.2188 -0.4699 -0.8552 +vn 0.7598 -0.0087 -0.6501 +vn 0.3254 0.8713 0.3673 +vn 0.8317 0.5399 -0.1296 +vn -0.3891 0.6616 0.6410 +vn -0.8555 0.0430 0.5160 +vn -0.8045 -0.5877 0.0864 +vn -0.2990 -0.8735 -0.3843 +vn 0.3678 -0.6757 -0.6388 +vn 0.8353 -0.1027 -0.5402 +vn 0.2532 0.9287 0.2711 +vn 0.7961 0.5873 -0.1457 +vn -0.4352 0.7280 0.5297 +vn -0.8710 0.1018 0.4806 +vn -0.7961 -0.5864 0.1492 +vn -0.2535 -0.9291 -0.2692 +vn 0.4366 -0.7280 -0.5285 +vn 0.8727 -0.1004 -0.4779 +vn 0.2484 0.9271 0.2806 +vn 0.7882 0.6008 -0.1331 +vn -0.4269 0.7296 0.5342 +vn -0.8647 0.1185 0.4882 +vn -0.8057 -0.5705 0.1590 +vn -0.2635 -0.9268 -0.2677 +vn 0.4413 -0.7220 -0.5329 +vn 0.8769 -0.0809 -0.4739 +vn 0.0101 0.7148 0.6992 +vn 0.0098 0.7140 0.7001 +vn 0.1621 0.9868 0.0014 +vn 0.1620 0.9868 0.0016 +vn -0.1472 0.0248 0.9888 +vn -0.1475 0.0229 0.9888 +vn -0.2177 -0.6807 0.6995 +vn -0.2178 -0.6818 0.6984 +vn -0.1598 -0.9871 -0.0008 +vn -0.1598 -0.9872 -0.0010 +vn -0.0073 -0.7135 -0.7006 +vn -0.0075 -0.7144 -0.6997 +vn 0.1501 -0.0213 -0.9884 +vn 0.1498 -0.0232 -0.9884 +vn 0.2200 0.6825 -0.6970 +vn 0.2200 0.6814 -0.6980 +vn 0.0008 0.7142 0.7000 +vn 0.1512 0.9885 -0.0006 +vn -0.1492 0.0204 0.9886 +vn -0.2110 -0.6844 0.6979 +vn -0.1489 -0.9888 0.0003 +vn 0.0006 -0.7168 -0.6973 +vn 0.1506 -0.0261 -0.9883 +vn 0.2132 0.6810 -0.7006 +vn 0.0158 0.7124 0.7016 +vn 0.1531 0.9882 0.0048 +vn -0.1299 0.0235 0.9912 +vn -0.1998 -0.6804 0.7051 +vn -0.1523 -0.9883 0.0052 +vn -0.0142 -0.7142 -0.6998 +vn 0.1330 -0.0172 -0.9910 +vn 0.2021 0.6884 -0.6966 +vn 0.0355 0.7090 0.7043 +vn 0.1600 0.9871 0.0018 +vn -0.1092 0.0157 0.9939 +vn -0.1890 -0.6871 0.7015 +vn -0.1571 -0.9876 -0.0007 +vn -0.0328 -0.7117 -0.7017 +vn 0.1113 -0.0199 -0.9936 +vn 0.1914 0.6852 -0.7028 +vn -0.0812 0.7200 0.6892 +vn 0.0656 0.9974 -0.0311 +vn -0.1773 0.0013 0.9842 +vn -0.1650 -0.7079 0.6868 +vn -0.0565 -0.9984 -0.0016 +vn 0.0836 -0.7255 -0.6831 +vn 0.1776 -0.0459 -0.9830 +vn 0.1720 0.6677 -0.7243 +vn -0.3244 0.7116 0.6232 +vn -0.1164 0.9895 -0.0853 +vn -0.3300 -0.0085 0.9439 +vn -0.1356 -0.7113 0.6897 +vn 0.1337 -0.9901 0.0431 +vn 0.3260 -0.7133 -0.6204 +vn 0.3383 -0.0404 -0.9402 +vn 0.1595 0.6637 -0.7308 +vn -0.5481 0.6511 0.5250 +vn -0.2863 0.9456 -0.1545 +vn -0.4718 -0.0422 0.8807 +vn -0.1140 -0.7003 0.7047 +vn 0.3039 -0.9445 0.1251 +vn 0.5479 -0.6555 -0.5197 +vn 0.4860 0.0012 -0.8740 +vn 0.1460 0.6649 -0.7325 +vn -0.6492 0.5997 0.4678 +vn -0.3963 0.8972 -0.1949 +vn -0.5193 -0.0479 0.8532 +vn -0.0877 -0.6651 0.7415 +vn 0.3938 -0.8967 0.2021 +vn 0.6487 -0.6107 -0.4542 +vn 0.5275 0.0333 -0.8489 +vn 0.0939 0.6620 -0.7436 +vn -0.6822 0.5756 0.4509 +vn -0.4651 0.8526 -0.2382 +vn -0.4941 -0.0390 0.8685 +vn -0.0206 -0.6258 0.7797 +vn 0.4633 -0.8517 0.2450 +vn 0.6831 -0.5898 -0.4307 +vn 0.5087 0.0162 -0.8608 +vn 0.0325 0.6181 -0.7854 +vn -0.7201 0.5478 0.4259 +vn -0.5363 0.7963 -0.2799 +vn -0.4786 -0.0219 0.8777 +vn 0.0413 -0.5757 0.8166 +vn 0.5363 -0.7945 0.2850 +vn 0.7232 -0.5559 -0.4098 +vn 0.4918 0.0069 -0.8707 +vn -0.0313 0.5707 -0.8206 +vn -0.6378 0.6219 0.4545 +vn -0.4896 0.8380 -0.2410 +vn -0.4317 0.0600 0.9000 +vn 0.0244 -0.5438 0.8389 +vn 0.4765 -0.8343 0.2773 +vn 0.6409 -0.6127 -0.4625 +vn 0.4075 -0.0120 -0.9131 +vn -0.0647 0.5862 -0.8076 +vn -0.3649 0.7572 0.5418 +vn -0.2557 0.9533 -0.1605 +vn -0.2745 0.1466 0.9503 +vn -0.0268 -0.5575 0.8297 +vn 0.2447 -0.9471 0.2078 +vn 0.3672 -0.7446 -0.5575 +vn 0.2572 -0.0729 -0.9636 +vn -0.0036 0.6247 -0.7808 +vn -0.0560 0.8013 0.5956 +vn 0.0100 0.9928 -0.1195 +vn -0.0904 0.1644 0.9822 +vn -0.0736 -0.5756 0.8144 +vn -0.0132 -0.9873 0.1582 +vn 0.0566 -0.7947 -0.6043 +vn 0.0923 -0.1102 -0.9896 +vn 0.0716 0.6286 -0.7745 +vn 0.0752 0.7907 0.6076 +vn 0.1200 0.9841 -0.1309 +vn -0.0130 0.1342 0.9909 +vn -0.0933 -0.6025 0.7926 +vn -0.1185 -0.9845 0.1295 +vn -0.0739 -0.7911 -0.6072 +vn 0.0146 -0.1363 -0.9906 +vn 0.0952 0.6004 -0.7940 +vn 0.0706 0.7892 0.6101 +vn 0.1167 0.9828 -0.1428 +vn -0.0176 0.1182 0.9928 +vn -0.0936 -0.6178 0.7807 +vn -0.1134 -0.9864 0.1187 +vn -0.0682 -0.7936 -0.6046 +vn 0.0162 -0.1520 -0.9882 +vn 0.0931 0.5848 -0.8059 +vn -0.2158 -0.6800 0.7007 +vn -0.2156 -0.6797 0.7011 +vn -0.4302 -0.9028 0.0012 +vn -0.4300 -0.9028 0.0021 +vn 0.1239 -0.0597 0.9905 +vn 0.1247 -0.0582 0.9905 +vn 0.3910 0.5964 0.7010 +vn 0.3914 0.5977 0.6997 +vn 0.4283 0.9036 0.0001 +vn 0.4282 0.9037 -0.0009 +vn 0.2134 0.6803 -0.7012 +vn 0.2137 0.6806 -0.7008 +vn -0.1274 0.0575 -0.9902 +vn -0.1266 0.0591 -0.9902 +vn -0.3937 -0.5981 -0.6981 +vn -0.3933 -0.5968 -0.6994 +vn -0.2055 -0.6838 0.7001 +vn -0.4214 -0.9069 -0.0016 +vn 0.1307 -0.0583 0.9897 +vn 0.3892 0.6008 0.6983 +vn 0.4192 0.9079 -0.0008 +vn 0.2043 0.6856 -0.6988 +vn -0.1305 0.0635 -0.9894 +vn -0.3899 -0.5963 -0.7017 +vn -0.1830 -0.6925 0.6978 +vn -0.3973 -0.9177 -0.0047 +vn 0.1381 -0.0599 0.9886 +vn 0.3771 0.6066 0.6999 +vn 0.3954 0.9185 0.0040 +vn 0.1831 0.6963 -0.6940 +vn -0.1367 0.0681 -0.9883 +vn -0.3777 -0.6013 -0.7041 +vn -0.1614 -0.7027 0.6929 +vn -0.3725 -0.9280 -0.0097 +vn 0.1439 -0.0639 0.9875 +vn 0.3638 0.6117 0.7025 +vn 0.3702 0.9289 0.0076 +vn 0.1602 0.7047 -0.6912 +vn -0.1439 0.0695 -0.9871 +vn -0.3649 -0.6071 -0.7059 +vn -0.1499 -0.7115 0.6865 +vn -0.3731 -0.9277 -0.0123 +vn 0.1613 -0.0763 0.9839 +vn 0.3771 0.6050 0.7012 +vn 0.3697 0.9291 0.0050 +vn 0.1444 0.7067 -0.6926 +vn -0.1653 0.0723 -0.9836 +vn -0.3790 -0.6029 -0.7021 +vn -0.1529 -0.7176 0.6794 +vn -0.4233 -0.9060 -0.0062 +vn 0.2091 -0.1061 0.9721 +vn 0.4481 0.5734 0.6859 +vn 0.4173 0.9087 -0.0128 +vn 0.1380 0.7017 -0.6990 +vn -0.2198 0.0876 -0.9716 +vn -0.4500 -0.5733 -0.6847 +vn -0.1480 -0.7131 0.6853 +vn -0.4724 -0.8813 0.0133 +vn 0.2640 -0.1240 0.9565 +vn 0.5195 0.5390 0.6631 +vn 0.4678 0.8836 -0.0213 +vn 0.1403 0.7081 -0.6920 +vn -0.2691 0.1193 -0.9557 +vn -0.5216 -0.5364 -0.6635 +vn -0.1191 -0.7003 0.7039 +vn -0.4036 -0.9148 0.0161 +vn 0.2288 -0.0808 0.9701 +vn 0.4430 0.5776 0.6857 +vn 0.4086 0.9125 0.0177 +vn 0.1410 0.7323 -0.6662 +vn -0.2144 0.1207 -0.9693 +vn -0.4454 -0.5719 -0.6888 +vn -0.1321 -0.6914 0.7103 +vn -0.2399 -0.9708 0.0017 +vn 0.0487 -0.0212 0.9986 +vn 0.2003 0.6544 0.7291 +vn 0.2407 0.9690 0.0563 +vn 0.1448 0.7393 -0.6576 +vn -0.0400 0.0648 -0.9971 +vn -0.2035 -0.6610 -0.7223 +vn -0.1536 -0.6939 0.7035 +vn -0.0737 -0.9973 -0.0030 +vn -0.1429 0.0075 0.9897 +vn -0.0522 0.6981 0.7141 +vn 0.0669 0.9970 0.0377 +vn 0.1483 0.7312 -0.6659 +vn 0.1442 0.0324 -0.9890 +vn 0.0520 -0.6957 -0.7165 +vn -0.0428 -0.7114 0.7015 +vn 0.0848 -0.9963 -0.0170 +vn -0.1439 0.0095 0.9895 +vn -0.1581 0.7156 0.6804 +vn -0.0817 0.9965 -0.0193 +vn 0.0397 0.7107 -0.7024 +vn 0.1384 0.0256 -0.9900 +vn 0.1587 -0.6797 -0.7161 +vn 0.1940 -0.6807 0.7064 +vn 0.2245 -0.9743 -0.0207 +vn 0.0419 0.0387 0.9984 +vn -0.1346 0.7251 0.6754 +vn -0.2291 0.9727 -0.0359 +vn -0.1940 0.6696 -0.7169 +vn -0.0519 -0.0043 -0.9986 +vn 0.1200 -0.6816 -0.7219 +vn 0.4199 -0.6033 0.6780 +vn 0.3640 -0.9308 -0.0318 +vn 0.2178 0.0929 0.9716 +vn -0.1128 0.7248 0.6797 +vn -0.3734 0.9277 -0.0021 +vn -0.4209 0.6043 -0.6765 +vn -0.2328 -0.0581 -0.9708 +vn 0.0895 -0.6942 -0.7142 +vn 0.5095 -0.5641 0.6498 +vn 0.4345 -0.9001 -0.0323 +vn 0.2865 0.1009 0.9528 +vn -0.1052 0.7079 0.6984 +vn -0.4356 0.8995 0.0340 +vn -0.5108 0.5634 -0.6493 +vn -0.2874 -0.1029 -0.9523 +vn 0.1045 -0.7099 -0.6965 +vn 0.5056 -0.5665 0.6507 +vn 0.4345 -0.9004 -0.0216 +vn 0.2886 0.0898 0.9532 +vn -0.0973 0.6992 0.7083 +vn -0.4302 0.9017 0.0434 +vn -0.5077 0.5645 -0.6508 +vn -0.2802 -0.1122 -0.9533 +vn 0.1120 -0.7185 -0.6864 +vn 0.4144 -0.5994 0.6849 +vn 0.4144 -0.6016 0.6829 +vn 0.3807 -0.9246 -0.0095 +vn 0.3793 -0.9251 -0.0176 +vn 0.2004 0.0849 0.9760 +vn 0.2050 0.0734 0.9760 +vn -0.1313 0.7144 0.6873 +vn -0.1254 0.7058 0.6973 +vn -0.3842 0.9232 0.0021 +vn -0.3829 0.9238 0.0099 +vn -0.4166 0.6029 -0.6804 +vn -0.4166 0.6007 -0.6823 +vn -0.2116 -0.0629 -0.9753 +vn -0.2071 -0.0742 -0.9755 +vn 0.1174 -0.6977 -0.7067 +vn 0.1234 -0.7066 -0.6968 +vn 0.3378 -0.6330 0.6966 +vn 0.3170 -0.9483 0.0149 +vn 0.1668 0.0413 0.9851 +vn -0.1028 0.6982 0.7084 +vn -0.3158 0.9488 0.0082 +vn -0.3398 0.6261 -0.7018 +vn -0.1583 -0.0749 -0.9845 +vn 0.1145 -0.7245 -0.6797 +vn 0.1391 -0.6796 0.7203 +vn 0.1586 -0.9865 0.0400 +vn 0.0414 0.0072 0.9991 +vn -0.0815 0.6972 0.7122 +vn -0.1590 0.9873 -0.0005 +vn -0.1408 0.6764 -0.7229 +vn -0.0362 -0.0521 -0.9980 +vn 0.0879 -0.7380 -0.6691 +vn -0.0696 -0.6966 0.7141 +vn -0.0074 -0.9995 0.0296 +vn -0.0932 0.0007 0.9956 +vn -0.0639 0.7045 0.7068 +vn 0.0037 1.0000 -0.0049 +vn 0.0690 0.6912 -0.7194 +vn 0.0913 -0.0362 -0.9952 +vn 0.0588 -0.7341 -0.6764 +vn -0.1250 -0.7000 0.7031 +vn -0.0863 -0.9963 -0.0035 +vn -0.0904 0.0147 0.9958 +vn -0.0019 0.7221 0.6918 +vn 0.0868 0.9960 -0.0231 +vn 0.1231 0.6846 -0.7184 +vn 0.0874 -0.0187 -0.9960 +vn 0.0014 -0.7109 -0.7032 +vn -0.0275 -0.7163 0.6973 +vn -0.1069 -0.9941 -0.0159 +vn 0.0691 -0.0001 0.9976 +vn 0.1228 0.7173 0.6858 +vn 0.1013 0.9942 -0.0352 +vn 0.0206 0.6887 -0.7248 +vn -0.0716 -0.0041 -0.9974 +vn -0.1240 -0.6938 -0.7094 +vn 0.0680 -0.7205 0.6901 +vn -0.1307 -0.9914 0.0003 +vn 0.2268 -0.0189 0.9737 +vn 0.2492 0.6951 0.6743 +vn 0.1224 0.9921 -0.0260 +vn -0.0757 0.7043 -0.7058 +vn -0.2294 0.0124 -0.9733 +vn -0.2523 -0.6847 -0.6837 +vn 0.0935 -0.7000 0.7080 +vn -0.0848 -0.9962 0.0201 +vn 0.2140 -0.0014 0.9768 +vn 0.2114 0.6921 0.6901 +vn 0.0890 0.9959 0.0134 +vn -0.0868 0.7298 -0.6782 +vn -0.2148 0.0281 -0.9763 +vn -0.2147 -0.6953 -0.6859 +vn 0.0655 -0.6866 0.7241 +vn 0.0746 -0.9970 0.0186 +vn 0.0185 0.0096 0.9998 +vn -0.0389 0.6934 0.7195 +vn -0.0754 0.9962 0.0428 +vn -0.0705 0.7423 -0.6664 +vn -0.0245 0.0431 -0.9988 +vn 0.0372 -0.6979 -0.7152 +vn 0.0414 -0.7036 0.7094 +vn 0.2345 -0.9720 0.0132 +vn -0.1737 -0.0291 0.9844 +vn -0.2889 0.6547 0.6985 +vn -0.2420 0.9701 0.0192 +vn -0.0559 0.7317 -0.6794 +vn 0.1657 0.0561 -0.9846 +vn 0.2877 -0.6576 -0.6963 +vn 0.0222 -0.7452 0.6664 +vn 0.1905 -0.9813 -0.0286 +vn -0.1633 -0.0699 0.9841 +vn -0.2540 0.6579 0.7089 +vn -0.1883 0.9821 -0.0058 +vn -0.0091 0.7039 -0.7102 +vn 0.1705 0.0177 -0.9852 +vn 0.2503 -0.6681 -0.7007 +vn -0.0470 -0.7582 0.6503 +vn -0.0748 -0.9956 -0.0560 +vn 0.0082 -0.0750 0.9972 +vn 0.0593 0.6745 0.7359 +vn 0.0721 0.9974 0.0020 +vn 0.0394 0.6958 -0.7171 +vn -0.0158 -0.0011 -0.9999 +vn -0.0620 -0.6861 -0.7249 +vn -0.1137 -0.7342 0.6693 +vn -0.3336 -0.9425 -0.0197 +vn 0.1767 -0.0939 0.9798 +vn 0.3648 0.6134 0.7005 +vn 0.3271 0.9449 -0.0131 +vn 0.0899 0.6970 -0.7114 +vn -0.1950 0.0447 -0.9798 +vn -0.3659 -0.6232 -0.6912 +vn -0.1266 -0.7056 0.6972 +vn -0.4248 -0.9051 0.0200 +vn 0.2458 -0.0914 0.9650 +vn 0.4731 0.5749 0.6676 +vn 0.4237 0.9056 -0.0184 +vn 0.1260 0.7077 -0.6952 +vn -0.2465 0.0939 -0.9646 +vn -0.4742 -0.5740 -0.6676 +vn -0.1173 -0.6955 0.7089 +vn -0.4192 -0.9074 0.0289 +vn 0.2496 -0.0765 0.9653 +vn 0.4688 0.5798 0.6664 +vn 0.4220 0.9066 -0.0081 +vn 0.1333 0.7183 -0.6829 +vn -0.2378 0.1073 -0.9654 +vn -0.4702 -0.5727 -0.6716 +vn -0.3087 0.6558 0.6889 +vn -0.3087 0.6541 0.6905 +vn -0.2249 0.9744 0.0005 +vn -0.2243 0.9745 -0.0025 +vn -0.2109 -0.0490 0.9763 +vn -0.2109 -0.0491 0.9763 +vn 0.0120 -0.7248 0.6889 +vn 0.0113 -0.7234 0.6903 +vn 0.2283 -0.9736 -0.0029 +vn 0.2277 -0.9737 0.0002 +vn 0.3115 -0.6518 -0.6915 +vn 0.3115 -0.6534 -0.6899 +vn 0.2136 0.0500 -0.9757 +vn 0.2136 0.0498 -0.9756 +vn -0.0079 0.7227 -0.6911 +vn -0.0085 0.7240 -0.6897 +vn -0.2975 0.6545 0.6951 +vn -0.2267 0.9740 0.0041 +vn -0.1939 -0.0456 0.9800 +vn 0.0232 -0.7186 0.6951 +vn 0.2278 -0.9737 0.0048 +vn 0.3004 -0.6585 -0.6901 +vn 0.1969 0.0458 -0.9794 +vn -0.0219 0.7230 -0.6905 +vn -0.2841 0.6484 0.7063 +vn -0.2724 0.9622 0.0043 +vn -0.1296 -0.0396 0.9908 +vn 0.0990 -0.7010 0.7063 +vn 0.2718 -0.9622 0.0187 +vn 0.2897 -0.6701 -0.6834 +vn 0.1382 0.0188 -0.9902 +vn -0.0966 0.7019 -0.7057 +vn -0.2744 0.6604 0.6990 +vn -0.3197 0.9475 -0.0092 +vn -0.0670 -0.0120 0.9977 +vn 0.1801 -0.6746 0.7159 +vn 0.3235 -0.9460 0.0196 +vn 0.2792 -0.6658 -0.6920 +vn 0.0713 0.0100 -0.9974 +vn -0.1769 0.6793 -0.7123 +vn -0.2195 0.7038 0.6757 +vn -0.1845 0.9827 -0.0167 +vn -0.1262 0.0127 0.9919 +vn 0.0490 -0.7011 0.7113 +vn 0.1952 -0.9806 -0.0183 +vn 0.2197 -0.6499 -0.7276 +vn 0.1172 0.0566 -0.9915 +vn -0.0475 0.7186 -0.6938 +vn -0.0966 0.7133 0.6942 +vn 0.1399 0.9890 0.0481 +vn -0.2830 0.0214 0.9589 +vn -0.3001 -0.7065 0.6409 +vn -0.1229 -0.9879 -0.0945 +vn 0.1288 -0.6425 -0.7554 +vn 0.2977 0.0685 -0.9522 +vn 0.2993 0.7268 -0.6182 +vn 0.0088 0.6671 0.7449 +vn 0.4309 0.8865 0.1689 +vn -0.4275 0.0579 0.9022 +vn -0.6142 -0.5997 0.5130 +vn -0.4156 -0.8870 -0.2011 +vn 0.0384 -0.6224 -0.7818 +vn 0.4582 0.0036 -0.8888 +vn 0.6129 0.6160 -0.4949 +vn 0.0197 0.6214 0.7832 +vn 0.5263 0.8155 0.2408 +vn -0.4988 0.0612 0.8646 +vn -0.7233 -0.5328 0.4393 +vn -0.5257 -0.8160 -0.2404 +vn -0.0199 -0.6240 -0.7811 +vn 0.4985 -0.0654 -0.8644 +vn 0.7239 0.5307 -0.4408 +vn 0.0204 0.6029 0.7975 +vn 0.4877 0.8396 0.2391 +vn -0.4538 0.0202 0.8909 +vn -0.6672 -0.5722 0.4769 +vn -0.5002 -0.8402 -0.2095 +vn -0.0418 -0.6244 -0.7799 +vn 0.4471 -0.0363 -0.8937 +vn 0.6695 0.5771 -0.4678 +vn 0.0488 0.5992 0.7991 +vn 0.4670 0.8585 0.2119 +vn -0.3962 -0.0095 0.9181 +vn -0.6099 -0.6134 0.5018 +vn -0.4652 -0.8601 -0.2094 +vn -0.0461 -0.6024 -0.7969 +vn 0.3997 0.0070 -0.9166 +vn 0.6125 0.6123 -0.4999 +vn -0.0355 0.6762 0.7358 +vn 0.4576 0.8739 0.1642 +vn -0.5123 0.0540 0.8571 +vn -0.6670 -0.5981 0.4442 +vn -0.4178 -0.8803 -0.2248 +vn 0.0658 -0.6566 -0.7514 +vn 0.5092 -0.0726 -0.8576 +vn 0.6736 0.5536 -0.4898 +vn -0.2259 0.8051 0.5484 +vn 0.4190 0.9009 0.1133 +vn -0.7397 0.1949 0.6441 +vn -0.7784 -0.5337 0.3305 +vn -0.3486 -0.9214 -0.1718 +vn 0.2676 -0.7809 -0.5644 +vn 0.7324 -0.2168 -0.6454 +vn 0.8007 0.4674 -0.3746 +vn -0.3630 0.8831 0.2972 +vn 0.3796 0.9232 0.0606 +vn -0.8892 0.2919 0.3523 +vn -0.8580 -0.4776 0.1891 +vn -0.3145 -0.9455 -0.0845 +vn 0.3970 -0.8657 -0.3049 +vn 0.8828 -0.3085 -0.3542 +vn 0.8829 0.4213 -0.2072 +vn -0.4148 0.8917 0.1810 +vn 0.3361 0.9409 0.0407 +vn -0.9213 0.3231 0.2161 +vn -0.8916 -0.4349 0.1263 +vn -0.3381 -0.9404 -0.0377 +vn 0.4138 -0.8925 -0.1792 +vn 0.9218 -0.3227 -0.2148 +vn 0.8910 0.4367 -0.1237 +vn -0.4231 0.8863 0.1882 +vn 0.3170 0.9473 0.0469 +vn -0.9183 0.3269 0.2231 +vn -0.8982 -0.4191 0.1330 +vn -0.3581 -0.9331 -0.0340 +vn 0.4024 -0.8973 -0.1814 +vn 0.9229 -0.3170 -0.2187 +vn 0.8824 0.4542 -0.1225 +vn -0.6687 -0.2990 0.6808 +vn -0.6658 -0.2993 0.6835 +vn -0.9871 -0.1598 0.0029 +vn -0.9873 -0.1590 -0.0001 +vn 0.0430 -0.2632 0.9638 +vn 0.0455 -0.2628 0.9638 +vn 0.7303 -0.0717 0.6794 +vn 0.7300 -0.0718 0.6797 +vn 0.9867 0.1626 -0.0054 +vn 0.9868 0.1618 -0.0024 +vn 0.6626 0.3015 -0.6856 +vn 0.6655 0.3012 -0.6829 +vn -0.0482 0.2644 -0.9632 +vn -0.0458 0.2648 -0.9632 +vn -0.7300 0.0739 -0.6794 +vn -0.7303 0.0738 -0.6791 +vn -0.6622 -0.2971 0.6879 +vn -0.9847 -0.1744 0.0034 +vn 0.0460 -0.2452 0.9684 +vn 0.7259 -0.0504 0.6860 +vn 0.9847 0.1742 0.0055 +vn 0.6699 0.2984 -0.6798 +vn -0.0395 0.2483 -0.9679 +vn -0.7271 0.0520 -0.6846 +vn -0.6592 -0.2922 0.6928 +vn -0.9759 -0.2181 -0.0027 +vn 0.0396 -0.1950 0.9800 +vn 0.7128 0.0148 0.7012 +vn 0.9761 0.2166 0.0192 +vn 0.6747 0.2943 -0.6769 +vn -0.0254 0.2000 -0.9795 +vn -0.7139 -0.0133 -0.7001 +vn -0.6640 -0.2874 0.6903 +vn -0.9650 -0.2618 -0.0145 +vn 0.0237 -0.1443 0.9892 +vn 0.6957 0.0827 0.7135 +vn 0.9647 0.2624 0.0243 +vn 0.6721 0.2903 -0.6811 +vn -0.0166 0.1483 -0.9888 +vn -0.6971 -0.0810 -0.7124 +vn -0.6781 -0.2822 0.6786 +vn -0.9705 -0.2401 -0.0235 +vn 0.0141 -0.1581 0.9873 +vn 0.7011 0.0613 0.7105 +vn 0.9695 0.2447 0.0090 +vn 0.6612 0.2828 -0.6948 +vn -0.0320 0.1560 -0.9872 +vn -0.7030 -0.0594 -0.7087 +vn -0.6878 -0.2743 0.6721 +vn -0.9906 -0.1364 -0.0089 +vn 0.0234 -0.2523 0.9674 +vn 0.7288 -0.0766 0.6805 +vn 0.9890 0.1464 -0.0221 +vn 0.6536 0.2798 -0.7033 +vn -0.0569 0.2494 -0.9667 +vn -0.7295 0.0783 -0.6795 +vn -0.6802 -0.2685 0.6821 +vn -0.9989 -0.0360 0.0301 +vn 0.0404 -0.3443 0.9380 +vn 0.7401 -0.2151 0.6372 +vn 0.9981 0.0433 -0.0444 +vn 0.6621 0.2757 -0.6969 +vn -0.0589 0.3455 -0.9366 +vn -0.7414 0.2165 -0.6352 +vn -0.6560 -0.2623 0.7077 +vn -0.9970 -0.0611 0.0473 +vn 0.0620 -0.3073 0.9496 +vn 0.7380 -0.1768 0.6512 +vn 0.9985 0.0538 -0.0140 +vn 0.6882 0.2569 -0.6786 +vn -0.0346 0.3118 -0.9495 +vn -0.7412 0.1795 -0.6468 +vn -0.6383 -0.2581 0.7252 +vn -0.9679 -0.2505 0.0225 +vn 0.0492 -0.1165 0.9920 +vn 0.7008 0.0882 0.7079 +vn 0.9688 0.2450 0.0370 +vn 0.7007 0.2677 -0.6613 +vn 0.0166 0.1352 -0.9907 +vn -0.6970 -0.0846 -0.7121 +vn -0.6564 -0.2615 0.7077 +vn -0.9017 -0.4323 -0.0027 +vn -0.0302 0.0609 0.9977 +vn 0.6050 0.3457 0.7172 +vn 0.8990 0.4365 0.0353 +vn 0.6821 0.2789 -0.6760 +vn 0.0558 -0.0469 -0.9973 +vn -0.6077 -0.3447 -0.7154 +vn -0.7276 -0.2018 0.6556 +vn -0.9466 -0.3195 -0.0435 +vn -0.0868 0.0358 0.9956 +vn 0.6227 0.2610 0.7377 +vn 0.9461 0.3237 0.0084 +vn 0.6709 0.1822 -0.7188 +vn 0.0025 -0.0610 -0.9981 +vn -0.6509 -0.2625 -0.7123 +vn -0.7589 -0.0047 0.6512 +vn -0.9928 0.1152 -0.0314 +vn -0.0922 -0.1249 0.9879 +vn 0.6635 -0.1728 0.7280 +vn 0.9941 -0.1057 -0.0242 +vn 0.6715 0.0287 -0.7405 +vn -0.0319 0.1409 -0.9895 +vn -0.6997 0.1740 -0.6929 +vn -0.6838 0.1740 0.7086 +vn -0.8527 0.5172 0.0736 +vn -0.1200 -0.2774 0.9532 +vn 0.5310 -0.5739 0.6234 +vn 0.8541 -0.5091 -0.1063 +vn 0.6366 -0.1235 -0.7613 +vn 0.0443 0.3233 -0.9453 +vn -0.5582 0.5777 -0.5956 +vn -0.6160 0.2086 0.7596 +vn -0.7500 0.6454 0.1448 +vn -0.1183 -0.3526 0.9283 +vn 0.4466 -0.7045 0.5516 +vn 0.7502 -0.6455 -0.1435 +vn 0.6183 -0.2097 -0.7575 +vn 0.1216 0.3515 -0.9282 +vn -0.4454 0.7045 -0.5525 +vn -0.6059 0.1889 0.7728 +vn -0.7545 0.6383 0.1526 +vn -0.0976 -0.3663 0.9253 +vn 0.4580 -0.7012 0.5463 +vn 0.7543 -0.6431 -0.1325 +vn 0.6311 -0.2242 -0.7426 +vn 0.1400 0.3332 -0.9324 +vn -0.4413 0.6986 -0.5632 +vn -0.0795 -0.7469 0.6602 +vn -0.0814 -0.7482 0.6585 +vn -0.3980 -0.9172 -0.0165 +vn -0.4007 -0.9158 -0.0269 +vn 0.2885 -0.1278 0.9489 +vn 0.2825 -0.1412 0.9488 +vn 0.4820 0.5629 0.6715 +vn 0.4805 0.5498 0.6833 +vn 0.3933 0.9194 0.0072 +vn 0.3958 0.9182 0.0172 +vn 0.0810 0.7503 -0.6561 +vn 0.0792 0.7491 -0.6577 +vn -0.2785 0.1551 -0.9478 +vn -0.2844 0.1421 -0.9481 +vn -0.4808 -0.5355 -0.6943 +vn -0.4824 -0.5489 -0.6826 +vn -0.1723 -0.7071 0.6858 +vn -0.4676 -0.8837 0.0207 +vn 0.2198 -0.1324 0.9665 +vn 0.4896 0.5249 0.6963 +vn 0.4721 0.8815 0.0091 +vn 0.1657 0.7044 -0.6902 +vn -0.2413 0.0975 -0.9655 +vn -0.5000 -0.5592 -0.6613 +vn -0.3623 -0.5794 0.7301 +vn -0.6150 -0.7863 0.0601 +vn 0.0916 -0.0497 0.9946 +vn 0.4983 0.5146 0.6978 +vn 0.6180 0.7860 -0.0161 +vn 0.3600 0.5798 -0.7310 +vn -0.1218 0.0144 -0.9925 +vn -0.5229 -0.5503 -0.6510 +vn -0.5349 -0.4187 0.7339 +vn -0.7474 -0.6618 0.0585 +vn -0.0221 0.0606 0.9979 +vn 0.5085 0.5107 0.6932 +vn 0.7461 0.6653 -0.0269 +vn 0.5308 0.4159 -0.7384 +vn -0.0096 -0.0868 -0.9962 +vn -0.5374 -0.5306 -0.6555 +vn -0.6208 -0.3206 0.7154 +vn -0.8328 -0.5530 0.0261 +vn -0.0467 0.1008 0.9938 +vn 0.5595 0.4666 0.6850 +vn 0.8320 0.5536 -0.0363 +vn 0.6052 0.3095 -0.7334 +vn 0.0230 -0.1141 -0.9932 +vn -0.5685 -0.4681 -0.6765 +vn -0.6498 -0.2901 0.7025 +vn -0.9044 -0.4267 0.0055 +vn -0.0113 0.0188 0.9998 +vn 0.6439 0.3218 0.6941 +vn 0.9031 0.4275 -0.0402 +vn 0.6133 0.2742 -0.7408 +vn -0.0291 -0.0357 -0.9989 +vn -0.6488 -0.3218 -0.6895 +vn -0.6573 -0.2434 0.7132 +vn -0.9588 -0.2834 0.0191 +vn 0.0298 -0.0603 0.9977 +vn 0.7032 0.1606 0.6926 +vn 0.9576 0.2866 -0.0290 +vn 0.6362 0.2409 -0.7329 +vn -0.0598 0.0538 -0.9968 +vn -0.7134 -0.1614 -0.6819 +vn -0.6223 -0.2307 0.7480 +vn -0.9381 -0.3435 0.0444 +vn 0.0508 0.0174 0.9986 +vn 0.6831 0.2525 0.6853 +vn 0.9373 0.3484 -0.0027 +vn 0.6710 0.2516 -0.6974 +vn 0.0056 0.0074 -1.0000 +vn -0.6762 -0.2436 -0.6952 +vn -0.5755 -0.2763 0.7697 +vn -0.7759 -0.6240 0.0932 +vn -0.0494 0.2189 0.9745 +vn 0.4931 0.5855 0.6435 +vn 0.7696 0.6378 -0.0312 +vn 0.6306 0.3449 -0.6953 +vn 0.1261 -0.1535 -0.9801 +vn -0.4778 -0.5753 -0.6639 +vn -0.5373 -0.3333 0.7747 +vn -0.5328 -0.8284 0.1726 +vn -0.2257 0.3465 0.9105 +vn 0.2067 0.8199 0.5339 +vn 0.5232 0.8416 -0.1340 +vn 0.5511 0.3940 -0.7356 +vn 0.2578 -0.2946 -0.9202 +vn -0.1981 -0.8156 -0.5437 +vn -0.5499 -0.3801 0.7437 +vn -0.4879 -0.8578 0.1614 +vn -0.2921 0.3260 0.8991 +vn 0.1421 0.8436 0.5178 +vn 0.4912 0.8526 -0.1786 +vn 0.5422 0.3466 -0.7654 +vn 0.2714 -0.3586 -0.8932 +vn -0.1518 -0.8482 -0.5075 +vn -0.6192 -0.3485 0.7036 +vn -0.6598 -0.7479 0.0734 +vn -0.2215 0.2595 0.9400 +vn 0.3203 0.7248 0.6100 +vn 0.6653 0.7388 -0.1075 +vn 0.5936 0.2962 -0.7483 +vn 0.1747 -0.3093 -0.9348 +vn -0.3361 -0.7313 -0.5935 +vn -0.6686 -0.2793 0.6892 +vn -0.8049 -0.5932 0.0158 +vn -0.1415 0.2008 0.9694 +vn 0.4759 0.5660 0.6732 +vn 0.8067 0.5901 -0.0326 +vn 0.6487 0.2583 -0.7159 +vn 0.1097 -0.2223 -0.9688 +vn -0.4859 -0.5695 -0.6629 +vn -0.6753 -0.2443 0.6959 +vn -0.8479 -0.5302 0.0068 +vn -0.1068 0.1854 0.9768 +vn 0.5234 0.5064 0.6853 +vn 0.8469 0.5318 -0.0065 +vn 0.6750 0.2467 -0.6953 +vn 0.1069 -0.1830 -0.9773 +vn -0.5239 -0.5048 -0.6861 +vn -0.6685 -0.2392 0.7042 +vn -0.8470 -0.5315 0.0125 +vn -0.0980 0.1926 0.9764 +vn 0.5245 0.5103 0.6816 +vn 0.8446 0.5354 -0.0024 +vn 0.6804 0.2535 -0.6876 +vn 0.1174 -0.1779 -0.9770 +vn -0.5194 -0.5060 -0.6886 +vn -0.0820 0.7388 0.6689 +vn -0.0834 0.7365 0.6712 +vn 0.2070 0.9783 0.0057 +vn 0.2074 0.9782 0.0046 +vn -0.3235 0.0669 0.9439 +vn -0.3243 0.0631 0.9439 +vn -0.3747 -0.6460 0.6651 +vn -0.3745 -0.6474 0.6638 +vn -0.2044 -0.9789 -0.0060 +vn -0.2047 -0.9788 -0.0049 +vn 0.0870 -0.7347 -0.6728 +vn 0.0857 -0.7370 -0.6704 +vn 0.3274 -0.0598 -0.9430 +vn 0.3266 -0.0636 -0.9430 +vn 0.3766 0.6484 -0.6616 +vn 0.3768 0.6469 -0.6629 +vn -0.0956 0.7353 0.6710 +vn 0.1858 0.9826 -0.0001 +vn -0.3192 0.0565 0.9460 +vn -0.3553 -0.6532 0.6687 +vn -0.1845 -0.9828 0.0040 +vn 0.0942 -0.7422 -0.6635 +vn 0.3194 -0.0676 -0.9452 +vn 0.3581 0.6487 -0.6715 +vn -0.1111 0.7343 0.6697 +vn 0.1330 0.9910 -0.0123 +vn -0.2882 0.0496 0.9563 +vn -0.2973 -0.6610 0.6890 +vn -0.1346 -0.9906 0.0253 +vn 0.1072 -0.7479 -0.6551 +vn 0.2882 -0.0654 -0.9553 +vn 0.2996 0.6592 -0.6897 +vn -0.1230 0.7386 0.6629 +vn 0.0812 0.9962 -0.0320 +vn -0.2535 0.0481 0.9661 +vn -0.2353 -0.6680 0.7060 +vn -0.0800 -0.9961 0.0369 +vn 0.1227 -0.7462 -0.6543 +vn 0.2551 -0.0596 -0.9651 +vn 0.2383 0.6642 -0.7086 +vn -0.1610 0.7521 0.6391 +vn 0.0707 0.9962 -0.0518 +vn -0.2968 0.0578 0.9532 +vn -0.2542 -0.6711 0.6965 +vn -0.0600 -0.9978 0.0270 +vn 0.1692 -0.7379 -0.6533 +vn 0.3005 -0.0545 -0.9522 +vn 0.2604 0.6586 -0.7060 +vn -0.2285 0.7713 0.5941 +vn 0.1336 0.9902 -0.0399 +vn -0.4599 0.0838 0.8840 +vn -0.4073 -0.6632 0.6279 +vn -0.1038 -0.9945 -0.0120 +vn 0.2553 -0.7322 -0.6314 +vn 0.4650 -0.0587 -0.8834 +vn 0.4154 0.6445 -0.6420 +vn -0.3050 0.7683 0.5628 +vn 0.1828 0.9831 0.0066 +vn -0.6115 0.0917 0.7859 +vn -0.5504 -0.6376 0.5390 +vn -0.1627 -0.9863 -0.0268 +vn 0.3202 -0.7536 -0.5741 +vn 0.6150 -0.0872 -0.7837 +vn 0.5589 0.6245 -0.5456 +vn -0.3331 0.7303 0.5965 +vn 0.0642 0.9979 -0.0100 +vn -0.5268 0.0547 0.8482 +vn -0.4308 -0.6401 0.6361 +vn -0.1007 -0.9917 0.0795 +vn 0.2946 -0.7928 -0.5335 +vn 0.5283 -0.1123 -0.8416 +vn 0.4345 0.6508 -0.6227 +vn -0.2376 0.7247 0.6468 +vn -0.2059 0.9756 -0.0757 +vn -0.1365 0.0835 0.9871 +vn 0.0362 -0.5951 0.8028 +vn 0.1908 -0.9618 0.1962 +vn 0.2452 -0.8126 -0.5288 +vn 0.1564 -0.1704 -0.9729 +vn -0.0397 0.6141 -0.7882 +vn -0.1469 0.7711 0.6195 +vn -0.4700 0.8795 -0.0752 +vn 0.2493 0.2256 0.9418 +vn 0.5039 -0.4332 0.7473 +vn 0.4878 -0.8603 0.1483 +vn 0.1968 -0.8132 -0.5477 +vn -0.2233 -0.2778 -0.9343 +vn -0.5099 0.4417 -0.7382 +vn -0.1610 0.8151 0.5566 +vn -0.5287 0.8417 -0.1097 +vn 0.3070 0.3054 0.9014 +vn 0.5928 -0.3902 0.7045 +vn 0.5205 -0.8501 0.0800 +vn 0.1353 -0.7960 -0.5900 +vn -0.3229 -0.2768 -0.9050 +vn -0.5916 0.3916 -0.7047 +vn -0.1658 0.8265 0.5380 +vn -0.3593 0.9154 -0.1817 +vn 0.1311 0.2487 0.9597 +vn 0.3540 -0.4993 0.7908 +vn 0.3521 -0.9284 0.1187 +vn 0.1367 -0.7817 -0.6085 +vn -0.1510 -0.1914 -0.9698 +vn -0.3516 0.4982 -0.7926 +vn -0.1541 0.8169 0.5559 +vn -0.1694 0.9674 -0.1882 +vn -0.0483 0.1826 0.9820 +vn 0.0878 -0.5673 0.8188 +vn 0.1718 -0.9725 0.1575 +vn 0.1521 -0.7907 -0.5931 +vn 0.0435 -0.1505 -0.9877 +vn -0.0882 0.5683 -0.8181 +vn -0.1494 0.8042 0.5753 +vn -0.1051 0.9800 -0.1691 +vn -0.1056 0.1568 0.9820 +vn 0.0006 -0.5811 0.8138 +vn 0.1071 -0.9795 0.1704 +vn 0.1517 -0.8049 -0.5737 +vn 0.1078 -0.1578 -0.9816 +vn 0.0014 0.5813 -0.8137 +vn -0.1494 0.7962 0.5862 +vn -0.1085 0.9811 -0.1600 +vn -0.1019 0.1478 0.9838 +vn 0.0046 -0.5810 0.8139 +vn 0.1090 -0.9777 0.1795 +vn 0.1519 -0.8126 -0.5627 +vn 0.1067 -0.1679 -0.9800 +vn -0.0017 0.5806 -0.8142 +vn -0.7659 0.0272 0.6424 +vn -0.7685 0.0308 0.6392 +vn -0.9276 0.3728 -0.0250 +vn -0.9259 0.3760 -0.0363 +vn -0.1421 -0.3365 0.9309 +vn -0.1597 -0.3291 0.9307 +vn 0.5606 -0.4964 0.6628 +vn 0.5445 -0.4956 0.6767 +vn 0.9300 -0.3672 0.0154 +vn 0.9286 -0.3701 0.0261 +vn 0.7719 -0.0314 -0.6350 +vn 0.7696 -0.0279 -0.6379 +vn 0.1777 0.3242 -0.9291 +vn 0.1608 0.3315 -0.9296 +vn -0.5268 0.4971 -0.6895 +vn -0.5435 0.4980 -0.6757 +vn -0.7219 0.1424 0.6772 +vn -0.8855 0.4638 0.0260 +vn -0.1549 -0.2590 0.9534 +vn 0.5097 -0.5169 0.6877 +vn 0.8832 -0.4690 0.0067 +vn 0.7163 -0.1305 -0.6854 +vn 0.1091 0.2870 -0.9517 +vn -0.5524 0.5279 -0.6452 +vn -0.5533 0.3789 0.7418 +vn -0.7378 0.6692 0.0884 +vn -0.0642 -0.1199 0.9907 +vn 0.4700 -0.5588 0.6833 +vn 0.7375 -0.6741 -0.0416 +vn 0.5459 -0.3664 -0.7535 +vn 0.0122 0.1705 -0.9853 +vn -0.5148 0.5920 -0.6201 +vn -0.3211 0.5722 0.7546 +vn -0.5352 0.8394 0.0944 +vn 0.0732 -0.0139 0.9972 +vn 0.4316 -0.6008 0.6729 +vn 0.5386 -0.8404 -0.0601 +vn 0.3143 -0.5630 -0.7643 +vn -0.1018 0.0614 -0.9929 +vn -0.4503 0.6380 -0.6246 +vn -0.2146 0.6292 0.7470 +vn -0.4386 0.8963 0.0652 +vn 0.1367 -0.0077 0.9906 +vn 0.4080 -0.6409 0.6502 +vn 0.4388 -0.8957 -0.0723 +vn 0.2139 -0.6257 -0.7501 +vn -0.1344 0.0084 -0.9909 +vn -0.4047 0.6387 -0.6544 +vn -0.2731 0.6127 0.7416 +vn -0.4287 0.9022 0.0477 +vn 0.0490 -0.0478 0.9977 +vn 0.3427 -0.6805 0.6477 +vn 0.4289 -0.8991 -0.0877 +vn 0.2642 -0.5899 -0.7630 +vn -0.0494 0.0541 -0.9973 +vn -0.3341 0.6669 -0.6661 +vn -0.3185 0.5808 0.7491 +vn -0.4081 0.9108 0.0621 +vn -0.0385 -0.0920 0.9950 +vn 0.2646 -0.7081 0.6547 +vn 0.4125 -0.9083 -0.0700 +vn 0.3188 -0.5734 -0.7547 +vn 0.0404 0.0975 -0.9944 +vn -0.2586 0.7088 -0.6564 +vn -0.2985 0.5459 0.7829 +vn -0.5233 0.8460 0.1026 +vn 0.0947 -0.0571 0.9939 +vn 0.4301 -0.6177 0.6584 +vn 0.5343 -0.8447 -0.0322 +vn 0.3441 -0.6053 -0.7177 +vn -0.0524 0.0022 -0.9986 +vn -0.4221 0.6237 -0.6579 +vn -0.2634 0.5556 0.7886 +vn -0.7568 0.6243 0.1934 +vn 0.3587 0.1777 0.9164 +vn 0.7808 -0.2884 0.5542 +vn 0.7920 -0.6023 -0.1001 +vn 0.3758 -0.5949 -0.7106 +vn -0.2770 -0.2388 -0.9307 +vn -0.7792 0.2899 -0.5557 +vn -0.2734 0.5817 0.7661 +vn -0.8763 0.3451 0.3361 +vn 0.4693 0.4751 0.7443 +vn 0.9421 0.1113 0.3164 +vn 0.9072 -0.3119 -0.2822 +vn 0.3673 -0.5695 -0.7354 +vn -0.4070 -0.4992 -0.7650 +vn -0.9426 -0.1146 -0.3135 +vn -0.3378 0.5880 0.7349 +vn -0.9017 0.2589 0.3463 +vn 0.4310 0.5749 0.6955 +vn 0.9457 0.2190 0.2404 +vn 0.8930 -0.2687 -0.3610 +vn 0.3030 -0.5943 -0.7450 +vn -0.4596 -0.5654 -0.6849 +vn -0.9484 -0.2132 -0.2345 +vn -0.3501 0.6240 0.6986 +vn -0.8856 0.4087 0.2206 +vn 0.4003 0.4812 0.7799 +vn 0.9227 0.0400 0.3835 +vn 0.8664 -0.4281 -0.2571 +vn 0.2804 -0.6247 -0.7288 +vn -0.4546 -0.4534 -0.7666 +vn -0.9261 -0.0306 -0.3761 +vn -0.3162 0.6615 0.6800 +vn -0.8186 0.5614 0.1214 +vn 0.3763 0.3757 0.8469 +vn 0.8497 -0.1368 0.5092 +vn 0.8120 -0.5673 -0.1374 +vn 0.2871 -0.6549 -0.6990 +vn -0.4013 -0.3567 -0.8437 +vn -0.8523 0.1434 -0.5030 +vn -0.2923 0.6726 0.6798 +vn -0.7859 0.6106 0.0976 +vn 0.3730 0.3406 0.8631 +vn 0.8196 -0.1900 0.5405 +vn 0.7873 -0.6087 -0.0982 +vn 0.2946 -0.6711 -0.6803 +vn -0.3709 -0.3396 -0.8644 +vn -0.8184 0.1914 -0.5419 +vn -0.2840 0.6700 0.6859 +vn -0.7850 0.6108 0.1036 +vn 0.3810 0.3360 0.8613 +vn 0.8219 -0.1896 0.5372 +vn 0.7906 -0.6050 -0.0949 +vn 0.3035 -0.6724 -0.6750 +vn -0.3640 -0.3464 -0.8646 +vn -0.8188 0.1876 -0.5426 +vn 0.7119 -0.1897 0.6762 +vn 0.7065 -0.1834 0.6836 +vn 0.8228 -0.5673 0.0336 +vn 0.8242 -0.5650 0.0384 +vn 0.1937 0.2962 0.9353 +vn 0.1759 0.3083 0.9349 +vn -0.4451 0.6154 0.6506 +vn -0.4592 0.6188 0.6374 +vn -0.8227 0.5678 -0.0276 +vn -0.8242 0.5654 -0.0327 +vn -0.7020 0.1748 -0.6904 +vn -0.7078 0.1815 -0.6827 +vn -0.1588 -0.3222 -0.9333 +vn -0.1769 -0.3100 -0.9341 +vn 0.4716 -0.6235 -0.6236 +vn 0.4580 -0.6205 -0.6365 +vn 0.7521 -0.0838 0.6537 +vn 0.8824 -0.4701 -0.0215 +vn 0.1629 0.3492 0.9228 +vn -0.5114 0.5673 0.6454 +vn -0.8872 0.4613 0.0084 +vn -0.7696 0.0993 -0.6308 +vn -0.2188 -0.3223 -0.9210 +vn 0.4683 -0.5647 -0.6796 +vn 0.8174 0.1492 0.5564 +vn 0.9688 -0.1981 -0.1487 +vn 0.1644 0.3965 0.9032 +vn -0.5664 0.4065 0.7169 +vn -0.9720 0.1909 0.1368 +vn -0.8469 -0.1286 -0.5159 +vn -0.2520 -0.3807 -0.8897 +vn 0.5044 -0.4183 -0.7554 +vn 0.8130 0.3842 0.4375 +vn 0.9552 0.0904 -0.2819 +vn 0.1749 0.4392 0.8812 +vn -0.5529 0.2361 0.7991 +vn -0.9584 -0.0969 0.2686 +vn -0.8316 -0.3758 -0.4089 +vn -0.2367 -0.4468 -0.8628 +vn 0.5066 -0.2586 -0.8225 +vn 0.7996 0.4809 0.3597 +vn 0.9313 0.1702 -0.3219 +vn 0.1955 0.5108 0.8372 +vn -0.5299 0.2340 0.8151 +vn -0.9351 -0.1825 0.3039 +vn -0.7839 -0.4887 -0.3830 +vn -0.1771 -0.5091 -0.8423 +vn 0.5288 -0.2368 -0.8150 +vn 0.8106 0.4559 0.3676 +vn 0.9645 0.0618 -0.2568 +vn 0.1838 0.5896 0.7865 +vn -0.5626 0.3704 0.7392 +vn -0.9680 -0.0777 0.2385 +vn -0.7827 -0.4751 -0.4021 +vn -0.1409 -0.5881 -0.7965 +vn 0.5741 -0.3654 -0.7328 +vn 0.8094 0.4418 0.3869 +vn 0.9829 -0.0372 -0.1804 +vn 0.1564 0.6640 0.7312 +vn -0.5937 0.4890 0.6390 +vn -0.9862 0.0207 0.1644 +vn -0.7923 -0.4572 -0.4040 +vn -0.1392 -0.6658 -0.7330 +vn 0.5904 -0.4920 -0.6398 +vn 0.7980 0.4646 0.3838 +vn 0.9865 -0.0469 -0.1569 +vn 0.1400 0.7018 0.6985 +vn -0.5985 0.5268 0.6036 +vn -0.9866 0.0443 0.1571 +vn -0.7997 -0.4643 -0.3805 +vn -0.1459 -0.7028 -0.6963 +vn 0.5942 -0.5306 -0.6044 +vn 0.7897 0.4941 0.3638 +vn 0.9811 -0.0043 -0.1937 +vn 0.1336 0.6978 0.7038 +vn -0.5962 0.4941 0.6328 +vn -0.9802 0.0060 0.1980 +vn -0.8001 -0.4864 -0.3510 +vn -0.1542 -0.6990 -0.6983 +vn 0.5869 -0.5013 -0.6358 +vn 0.7884 0.5172 0.3330 +vn 0.9714 0.0341 -0.2349 +vn 0.1412 0.6950 0.7050 +vn -0.5874 0.4642 0.6629 +vn -0.9714 -0.0374 0.2345 +vn -0.7897 -0.5174 -0.3297 +vn -0.1473 -0.6967 -0.7021 +vn 0.5827 -0.4690 -0.6637 +vn 0.7994 0.4925 0.3442 +vn 0.9789 0.0033 -0.2041 +vn 0.1571 0.6995 0.6971 +vn -0.5828 0.4963 0.6435 +vn -0.9787 -0.0053 0.2054 +vn -0.7872 -0.5040 -0.3555 +vn -0.1294 -0.7009 -0.7015 +vn 0.5986 -0.4881 -0.6352 +vn 0.8085 0.4232 0.4089 +vn 0.9896 -0.0918 -0.1106 +vn 0.1616 0.6981 0.6975 +vn -0.5874 0.5651 0.5794 +vn -0.9896 0.0906 0.1121 +vn -0.7928 -0.4392 -0.4227 +vn -0.1247 -0.7028 -0.7003 +vn 0.6086 -0.5550 -0.5670 +vn 0.8019 0.3584 0.4781 +vn 0.9825 -0.1854 -0.0158 +vn 0.1569 0.6978 0.6989 +vn -0.5858 0.6293 0.5107 +vn -0.9828 0.1840 0.0166 +vn -0.7902 -0.3721 -0.4870 +vn -0.1297 -0.7043 -0.6980 +vn 0.6010 -0.6235 -0.5001 +vn 0.7904 0.3386 0.5105 +vn 0.9746 -0.2228 0.0238 +vn 0.1427 0.7013 0.6985 +vn -0.5884 0.6525 0.4774 +vn -0.9749 0.2216 -0.0225 +vn -0.7912 -0.3394 -0.5088 +vn -0.1441 -0.7024 -0.6971 +vn 0.5876 -0.6541 -0.4764 +vn 0.7871 0.3436 0.5123 +vn 0.9750 -0.2213 0.0224 +vn 0.1346 0.7031 0.6983 +vn -0.5932 0.6495 0.4757 +vn -0.9753 0.2201 -0.0207 +vn -0.7949 -0.3366 -0.5048 +vn -0.1522 -0.7004 -0.6973 +vn 0.5832 -0.6550 -0.4805 +vn 0.1432 0.7524 0.6429 +vn 0.1397 0.7501 0.6465 +vn 0.5528 0.8333 0.0075 +vn 0.5540 0.8325 0.0041 +vn -0.3524 0.2304 0.9070 +vn -0.3547 0.2269 0.9070 +vn -0.6406 -0.4292 0.6367 +vn -0.6406 -0.4295 0.6366 +vn -0.5493 -0.8355 -0.0098 +vn -0.5507 -0.8347 -0.0063 +vn -0.1340 -0.7490 -0.6488 +vn -0.1375 -0.7514 -0.6453 +vn 0.3590 -0.2249 -0.9058 +vn 0.3568 -0.2283 -0.9059 +vn 0.6426 0.4283 -0.6353 +vn 0.6427 0.4281 -0.6354 +vn 0.1337 0.7471 0.6511 +vn 0.5329 0.8462 0.0029 +vn -0.3411 0.2114 0.9159 +vn -0.6162 -0.4454 0.6496 +vn -0.5344 -0.8452 0.0078 +vn -0.1411 -0.7553 -0.6400 +vn 0.3373 -0.2225 -0.9147 +vn 0.6183 0.4435 -0.6488 +vn 0.1616 0.7273 0.6670 +vn 0.5047 0.8633 0.0003 +vn -0.2716 0.1739 0.9466 +vn -0.5486 -0.4785 0.6856 +vn -0.5110 -0.8591 0.0296 +vn -0.1733 -0.7405 -0.6493 +vn 0.2714 -0.1789 -0.9457 +vn 0.5538 0.4910 -0.6725 +vn 0.1998 0.7085 0.6768 +vn 0.4827 0.8756 -0.0157 +vn -0.1974 0.1299 0.9717 +vn -0.4791 -0.5237 0.7045 +vn -0.4825 -0.8754 0.0290 +vn -0.2041 -0.7190 -0.6644 +vn 0.1954 -0.1404 -0.9706 +vn 0.4818 0.5237 -0.7026 +vn 0.0999 0.7677 0.6329 +vn 0.4105 0.9089 -0.0740 +vn -0.2734 0.1498 0.9502 +vn -0.4749 -0.5519 0.6854 +vn -0.3934 -0.9190 0.0253 +vn -0.0898 -0.7631 -0.6400 +vn 0.2633 -0.1837 -0.9471 +vn 0.4718 0.5034 -0.7238 +vn -0.1381 0.8492 0.5096 +vn 0.2949 0.9453 -0.1396 +vn -0.4879 0.2181 0.8452 +vn -0.5303 -0.5401 0.6535 +vn -0.2591 -0.9623 0.0823 +vn 0.1532 -0.8374 -0.5246 +vn 0.4801 -0.2528 -0.8400 +vn 0.5434 0.4769 -0.6908 +vn -0.3600 0.8681 0.3418 +vn 0.1828 0.9588 -0.2174 +vn -0.6810 0.2391 0.6922 +vn -0.5830 -0.5279 0.6176 +vn -0.1461 -0.9722 0.1830 +vn 0.3677 -0.8620 -0.3491 +vn 0.6758 -0.2728 -0.6847 +vn 0.6069 0.4748 -0.6374 +vn -0.4745 0.8478 0.2368 +vn 0.0893 0.9561 -0.2790 +vn -0.7546 0.2392 0.6110 +vn -0.5919 -0.5067 0.6269 +vn -0.0864 -0.9563 0.2792 +vn 0.4682 -0.8536 -0.2285 +vn 0.7540 -0.2570 -0.6046 +vn 0.6005 0.4944 -0.6285 +vn -0.4879 0.8431 0.2262 +vn 0.0426 0.9478 -0.3161 +vn -0.7315 0.2493 0.6346 +vn -0.5525 -0.4866 0.6768 +vn -0.0543 -0.9426 0.3294 +vn 0.4784 -0.8525 -0.2107 +vn 0.7328 -0.2585 -0.6295 +vn 0.5514 0.4919 -0.6737 +vn -0.5008 0.8398 0.2094 +vn 0.0076 0.9309 -0.3652 +vn -0.7098 0.2515 0.6579 +vn -0.5017 -0.4804 0.7194 +vn -0.0034 -0.9310 0.3649 +vn 0.4969 -0.8447 -0.1989 +vn 0.7117 -0.2693 -0.6488 +vn 0.5116 0.4673 -0.7210 +vn -0.5568 0.8180 0.1444 +vn -0.0345 0.9073 -0.4191 +vn -0.7453 0.2381 0.6227 +vn -0.4885 -0.4806 0.7283 +vn 0.0530 -0.9118 0.4071 +vn 0.5612 -0.8147 -0.1461 +vn 0.7479 -0.2510 -0.6145 +vn 0.5051 0.4598 -0.7304 +vn -0.6271 0.7763 0.0639 +vn -0.0693 0.8847 -0.4609 +vn -0.8090 0.2007 0.5525 +vn -0.5053 -0.4922 0.7088 +vn 0.0930 -0.8893 0.4477 +vn 0.6335 -0.7706 -0.0689 +vn 0.8116 -0.2121 -0.5444 +vn 0.5253 0.4706 -0.7090 +vn -0.6908 0.7229 -0.0173 +vn -0.1036 0.8580 -0.5030 +vn -0.8636 0.1540 0.4801 +vn -0.5208 -0.5033 0.6895 +vn 0.1244 -0.8604 0.4942 +vn 0.6943 -0.7195 0.0159 +vn 0.8666 -0.1667 -0.4703 +vn 0.5410 0.4849 -0.6872 +vn -0.7173 0.6946 -0.0547 +vn -0.1291 0.8441 -0.5204 +vn -0.8854 0.1393 0.4434 +vn -0.5349 -0.4975 0.6829 +vn 0.1296 -0.8426 0.5227 +vn 0.7183 -0.6934 0.0567 +vn 0.8865 -0.1375 -0.4419 +vn 0.5354 0.4996 -0.6810 +vn -0.7170 0.6952 -0.0521 +vn -0.1345 0.8457 -0.5165 +vn -0.8852 0.1443 0.4423 +vn -0.5406 -0.4917 0.6826 +vn 0.1229 -0.8423 0.5247 +vn 0.7167 -0.6952 0.0561 +vn 0.8851 -0.1342 -0.4457 +vn 0.5293 0.5051 -0.6817 +vn -0.3317 0.6972 0.6356 +vn -0.3271 0.7091 0.6246 +vn -0.0430 0.9988 -0.0249 +vn -0.0477 0.9987 -0.0161 +vn -0.4180 -0.0105 0.9084 +vn -0.4183 0.0032 0.9083 +vn -0.2631 -0.7056 0.6579 +vn -0.2633 -0.7035 0.6601 +vn 0.0417 -0.9985 0.0348 +vn 0.0463 -0.9986 0.0265 +vn 0.3255 -0.7206 -0.6121 +vn 0.3301 -0.7090 -0.6231 +vn 0.4217 -0.0173 -0.9066 +vn 0.4214 -0.0031 -0.9069 +vn 0.2671 0.7015 -0.6607 +vn 0.2667 0.7037 -0.6585 +vn -0.3027 0.7260 0.6175 +vn 0.0363 0.9993 0.0002 +vn -0.4680 0.0236 0.8834 +vn -0.3507 -0.7017 0.6202 +vn -0.0185 -0.9996 -0.0217 +vn 0.3228 -0.6930 -0.6447 +vn 0.4726 0.0156 -0.8812 +vn 0.3531 0.7075 -0.6123 +vn -0.2255 0.7193 0.6571 +vn 0.2314 0.9653 0.1211 +vn -0.5605 0.0566 0.8262 +vn -0.5639 -0.6570 0.5003 +vn -0.2114 -0.9666 -0.1447 +vn 0.2692 -0.6707 -0.6912 +vn 0.5793 0.0137 -0.8150 +vn 0.5588 0.6778 -0.4779 +vn -0.1644 0.6790 0.7155 +vn 0.4033 0.8768 0.2618 +vn -0.6457 0.0818 0.7592 +vn -0.7430 -0.5738 0.3445 +vn -0.3843 -0.8797 -0.2803 +vn 0.2033 -0.6528 -0.7297 +vn 0.6644 -0.0457 -0.7460 +vn 0.7418 0.5806 -0.3356 +vn -0.2542 0.7017 0.6656 +vn 0.3802 0.8943 0.2361 +vn -0.7266 0.0790 0.6825 +vn -0.7591 -0.5786 0.2984 +vn -0.3614 -0.8992 -0.2465 +vn 0.2353 -0.7206 -0.6522 +vn 0.7056 -0.1368 -0.6953 +vn 0.7757 0.5351 -0.3348 +vn -0.4373 0.7726 0.4603 +vn 0.1871 0.9823 0.0015 +vn -0.7765 0.0866 0.6242 +vn -0.6526 -0.6306 0.4201 +vn -0.1682 -0.9857 -0.0129 +vn 0.4060 -0.8030 -0.4363 +vn 0.7623 -0.1769 -0.6226 +vn 0.6880 0.5666 -0.4535 +vn -0.5997 0.7679 0.2251 +vn -0.0015 0.9682 -0.2500 +vn -0.8238 0.0970 0.5586 +vn -0.5571 -0.6183 0.5544 +vn 0.0204 -0.9714 0.2367 +vn 0.5841 -0.7841 -0.2098 +vn 0.8258 -0.1566 -0.5417 +vn 0.5936 0.5719 -0.5662 +vn -0.6602 0.7414 0.1206 +vn -0.0875 0.9330 -0.3490 +vn -0.8460 0.1165 0.5203 +vn -0.5371 -0.5765 0.6158 +vn 0.0848 -0.9321 0.3522 +vn 0.6577 -0.7444 -0.1157 +vn 0.8478 -0.1199 -0.5166 +vn 0.5387 0.5770 -0.6139 +vn -0.6445 0.7511 0.1430 +vn -0.0881 0.9351 -0.3432 +vn -0.8269 0.1330 0.5465 +vn -0.5297 -0.5629 0.6345 +vn 0.0786 -0.9324 0.3528 +vn 0.6436 -0.7529 -0.1375 +vn 0.8280 -0.1260 -0.5464 +vn 0.5223 0.5745 -0.6302 +vn -0.6321 0.7578 0.1615 +vn -0.0853 0.9339 -0.3473 +vn -0.8064 0.1381 0.5750 +vn -0.5093 -0.5605 0.6530 +vn 0.0844 -0.9323 0.3517 +vn 0.6300 -0.7612 -0.1540 +vn 0.8089 -0.1441 -0.5701 +vn 0.5130 0.5595 -0.6510 +vn -0.6248 0.7649 0.1570 +vn -0.0753 0.9365 -0.3424 +vn -0.8105 0.1456 0.5673 +vn -0.5182 -0.5615 0.6452 +vn 0.0823 -0.9363 0.3413 +vn 0.6335 -0.7563 -0.1631 +vn 0.8114 -0.1329 -0.5691 +vn 0.5173 0.5659 -0.6420 +vn -0.6105 0.7729 0.1726 +vn -0.0389 0.9547 -0.2952 +vn -0.8282 0.1391 0.5428 +vn -0.5566 -0.5803 0.5946 +vn 0.0479 -0.9550 0.2927 +vn 0.6227 -0.7611 -0.1815 +vn 0.8292 -0.1212 -0.5457 +vn 0.5543 0.5860 -0.5910 +vn -0.6000 0.7766 0.1923 +vn -0.0061 0.9696 -0.2447 +vn -0.8448 0.1289 0.5193 +vn -0.5917 -0.5969 0.5418 +vn 0.0130 -0.9697 0.2440 +vn 0.6094 -0.7681 -0.1968 +vn 0.8464 -0.1164 -0.5197 +vn 0.5908 0.6009 -0.5384 +vn -0.5995 0.7742 0.2030 +vn 0.0041 0.9748 -0.2230 +vn -0.8512 0.1202 0.5108 +vn -0.6039 -0.6039 0.5202 +vn -0.0026 -0.9742 0.2258 +vn 0.6009 -0.7739 -0.2001 +vn 0.8529 -0.1200 -0.5081 +vn 0.6057 0.6044 -0.5176 +vn -0.6021 0.7718 0.2047 +vn 0.0019 0.9748 -0.2229 +vn -0.8510 0.1167 0.5120 +vn -0.6026 -0.6047 0.5208 +vn -0.0037 -0.9738 0.2275 +vn 0.5986 -0.7762 -0.1978 +vn 0.8526 -0.1238 -0.5077 +vn 0.6059 0.6031 -0.5188 +vn 0.3704 -0.6813 0.6313 +vn 0.3708 -0.6804 0.6322 +vn 0.0697 -0.9976 0.0040 +vn 0.0698 -0.9976 0.0041 +vn 0.4541 0.0335 0.8903 +vn 0.4540 0.0353 0.8903 +vn 0.2710 0.7294 0.6281 +vn 0.2705 0.7303 0.6273 +vn -0.0720 0.9974 -0.0028 +vn -0.0720 0.9974 -0.0029 +vn -0.3734 0.6793 -0.6318 +vn -0.3731 0.6802 -0.6310 +vn -0.4561 -0.0373 -0.8891 +vn -0.4562 -0.0355 -0.8891 +vn -0.2723 -0.7314 -0.6253 +vn -0.2728 -0.7305 -0.6261 +vn 0.3780 -0.6786 0.6298 +vn 0.0791 -0.9969 -0.0008 +vn 0.4540 0.0379 0.8902 +vn 0.2634 0.7310 0.6294 +vn -0.0813 0.9967 0.0019 +vn -0.3793 0.6810 -0.6264 +vn -0.4566 -0.0330 -0.8891 +vn -0.2670 -0.7287 -0.6306 +vn 0.3778 -0.6809 0.6274 +vn 0.0805 -0.9968 -0.0013 +vn 0.4540 0.0331 0.8904 +vn 0.2637 0.7285 0.6322 +vn -0.0824 0.9966 0.0027 +vn -0.3806 0.6786 -0.6282 +vn -0.4557 -0.0377 -0.8893 +vn -0.2644 -0.7310 -0.6290 +vn 0.3771 -0.6791 0.6297 +vn 0.0790 -0.9969 -0.0007 +vn 0.4530 0.0371 0.8907 +vn 0.2626 0.7308 0.6300 +vn -0.0817 0.9967 0.0021 +vn -0.3789 0.6809 -0.6268 +vn -0.4556 -0.0335 -0.8895 +vn -0.2661 -0.7292 -0.6305 +vn 0.4322 -0.6639 0.6103 +vn 0.1504 -0.9879 -0.0385 +vn 0.4530 0.0533 0.8899 +vn 0.2091 0.7318 0.6487 +vn -0.1534 0.9874 0.0384 +vn -0.4292 0.6810 -0.5933 +vn -0.4607 -0.0185 -0.8874 +vn -0.2228 -0.7145 -0.6632 +vn 0.4910 -0.6533 0.5762 +vn 0.2475 -0.9652 -0.0840 +vn 0.4441 0.0412 0.8950 +vn 0.1387 0.7083 0.6922 +vn -0.2464 0.9649 0.0912 +vn -0.4905 0.6650 -0.5632 +vn -0.4505 -0.0247 -0.8924 +vn -0.1444 -0.7038 -0.6955 +vn 0.5415 -0.6343 0.5518 +vn 0.3301 -0.9351 -0.1288 +vn 0.4295 0.0419 0.9021 +vn 0.0654 0.6880 0.7228 +vn -0.3345 0.9332 0.1309 +vn -0.5440 0.6473 -0.5340 +vn -0.4425 -0.0140 -0.8967 +vn -0.0802 -0.6751 -0.7334 +vn 0.7063 -0.5272 0.4725 +vn 0.5132 -0.8224 -0.2455 +vn 0.4544 0.0931 0.8859 +vn -0.0610 0.6391 0.7667 +vn -0.5320 0.8164 0.2244 +vn -0.7124 0.5499 -0.4360 +vn -0.5036 -0.0226 -0.8637 +vn -0.0006 -0.5973 -0.8020 +vn 0.9169 -0.2332 0.3238 +vn 0.7489 -0.5030 -0.4314 +vn 0.4955 0.1763 0.8505 +vn -0.1970 0.4664 0.8623 +vn -0.7676 0.4962 0.4057 +vn -0.9283 0.2620 -0.2640 +vn -0.5917 -0.1159 -0.7978 +vn 0.0929 -0.4402 -0.8931 +vn 0.9757 0.1244 0.1802 +vn 0.8142 -0.0907 -0.5734 +vn 0.5251 0.2579 0.8110 +vn -0.2220 0.2375 0.9457 +vn -0.8289 0.0861 0.5527 +vn -0.9842 -0.1117 -0.1371 +vn -0.5995 -0.2512 -0.7599 +vn 0.1418 -0.2481 -0.9583 +vn 0.9715 0.2114 0.1074 +vn 0.8124 -0.0228 -0.5826 +vn 0.5766 0.3273 0.7486 +vn -0.1718 0.2480 0.9534 +vn -0.8184 0.0161 0.5744 +vn -0.9625 -0.2247 -0.1521 +vn -0.5306 -0.3307 -0.7805 +vn 0.2023 -0.2446 -0.9483 +vn 0.9838 0.0210 0.1778 +vn 0.8297 -0.3181 -0.4587 +vn 0.5918 0.3527 0.7248 +vn -0.1627 0.4850 0.8593 +vn -0.8353 0.3124 0.4524 +vn -0.9680 -0.0611 -0.2436 +vn -0.5086 -0.3864 -0.7694 +vn 0.2260 -0.4847 -0.8450 +vn 0.9454 -0.1336 0.2972 +vn 0.7684 -0.5754 -0.2802 +vn 0.5818 0.3916 0.7129 +vn -0.1360 0.6923 0.7086 +vn -0.7758 0.5704 0.2697 +vn -0.9383 0.0990 -0.3313 +vn -0.5393 -0.4249 -0.7271 +vn 0.1638 -0.6959 -0.6992 +vn 0.9220 -0.1559 0.3544 +vn 0.7349 -0.6475 -0.2019 +vn 0.5677 0.4275 0.7036 +vn -0.1191 0.7591 0.6400 +vn -0.7352 0.6466 0.2035 +vn -0.9230 0.1559 -0.3517 +vn -0.5700 -0.4276 -0.7016 +vn 0.1174 -0.7601 -0.6391 +vn 0.9209 -0.1433 0.3625 +vn 0.7386 -0.6433 -0.2015 +vn 0.5552 0.4371 0.7076 +vn -0.1284 0.7576 0.6400 +vn -0.7348 0.6450 0.2097 +vn -0.9255 0.1650 -0.3408 +vn -0.5819 -0.4162 -0.6987 +vn 0.1102 -0.7566 -0.6445 +vn -0.1603 0.8315 0.5318 +vn -0.1591 0.8316 0.5321 +vn 0.3427 0.9388 -0.0343 +vn 0.3504 0.9355 -0.0460 +vn -0.5730 0.2240 0.7883 +vn -0.5675 0.2382 0.7882 +vn -0.6398 -0.5133 0.5720 +vn -0.6431 -0.4965 0.5831 +vn -0.3328 -0.9426 0.0251 +vn -0.3401 -0.9397 0.0363 +vn 0.1607 -0.8325 -0.5303 +vn 0.1618 -0.8325 -0.5299 +vn 0.5644 -0.2525 -0.7859 +vn 0.5699 -0.2391 -0.7862 +vn 0.6484 0.4785 -0.5921 +vn 0.6454 0.4956 -0.5813 +vn -0.0679 0.7957 0.6018 +vn 0.3994 0.9162 0.0316 +vn -0.4967 0.2311 0.8366 +vn -0.6472 -0.4718 0.5988 +vn -0.4164 -0.9092 0.0041 +vn 0.0732 -0.7969 -0.5997 +vn 0.5174 -0.1942 -0.8334 +vn 0.6456 0.5169 -0.5621 +vn 0.1495 0.6623 0.7342 +vn 0.5487 0.8256 0.1317 +vn -0.3309 0.1356 0.9339 +vn -0.6313 -0.4733 0.6144 +vn -0.5684 -0.8196 -0.0718 +vn -0.1517 -0.6672 -0.7293 +vn 0.3631 -0.0925 -0.9271 +vn 0.6457 0.5267 -0.5529 +vn 0.3637 0.4752 0.8012 +vn 0.6989 0.6945 0.1710 +vn -0.1731 -0.0093 0.9849 +vn -0.6173 -0.4944 0.6120 +vn -0.7059 -0.6965 -0.1289 +vn -0.3635 -0.4751 -0.8013 +vn 0.2042 0.0382 -0.9782 +vn 0.6411 0.5212 -0.5632 +vn 0.4371 0.4074 0.8019 +vn 0.7753 0.6143 0.1471 +vn -0.1617 -0.0436 0.9859 +vn -0.6659 -0.4708 0.5787 +vn -0.7693 -0.6147 -0.1740 +vn -0.4188 -0.3967 -0.8168 +vn 0.1708 0.0469 -0.9842 +vn 0.6625 0.4630 -0.5889 +vn 0.3889 0.4884 0.7812 +vn 0.7993 0.5848 0.1380 +vn -0.2643 0.0927 0.9600 +vn -0.7552 -0.3618 0.5466 +vn -0.7827 -0.5922 -0.1915 +vn -0.3540 -0.4749 -0.8057 +vn 0.2708 -0.0910 -0.9583 +vn 0.7436 0.3425 -0.5742 +vn 0.3330 0.5594 0.7591 +vn 0.8158 0.5542 0.1650 +vn -0.3506 0.2321 0.9073 +vn -0.8257 -0.2365 0.5122 +vn -0.8048 -0.5628 -0.1887 +vn -0.3090 -0.5548 -0.7725 +vn 0.3612 -0.2270 -0.9044 +vn 0.8234 0.2284 -0.5195 +vn 0.3059 0.5560 0.7729 +vn 0.8003 0.5702 0.1856 +vn -0.3597 0.2189 0.9070 +vn -0.8164 -0.2414 0.5247 +vn -0.8091 -0.5662 -0.1574 +vn -0.3319 -0.5667 -0.7541 +vn 0.3473 -0.2322 -0.9085 +vn 0.8210 0.2427 -0.5167 +vn 0.3273 0.5058 0.7982 +vn 0.7395 0.6514 0.1699 +vn -0.2639 0.0741 0.9617 +vn -0.7040 -0.3967 0.5891 +vn -0.7528 -0.6485 -0.1127 +vn -0.3716 -0.5338 -0.7596 +vn 0.2405 -0.0979 -0.9657 +vn 0.7119 0.4040 -0.5744 +vn 0.3760 0.4699 0.7987 +vn 0.6746 0.7251 0.1385 +vn -0.1368 -0.0550 0.9891 +vn -0.5679 -0.5457 0.6162 +vn -0.6767 -0.7282 -0.1084 +vn -0.3936 -0.4905 -0.7775 +vn 0.1261 0.0403 -0.9912 +vn 0.5726 0.5483 -0.6095 +vn 0.3918 0.4990 0.7730 +vn 0.6869 0.7193 0.1041 +vn -0.1399 -0.0231 0.9899 +vn -0.5892 -0.5351 0.6053 +vn -0.6781 -0.7204 -0.1455 +vn -0.3624 -0.4769 -0.8008 +vn 0.1584 0.0367 -0.9867 +vn 0.5871 0.5255 -0.6157 +vn 0.3590 0.5499 0.7542 +vn 0.7685 0.6287 0.1190 +vn -0.2745 0.1391 0.9515 +vn -0.7449 -0.3647 0.5587 +vn -0.7487 -0.6387 -0.1776 +vn -0.3065 -0.5275 -0.7923 +vn 0.3024 -0.1192 -0.9457 +vn 0.7398 0.3518 -0.5735 +vn 0.3177 0.5951 0.7382 +vn 0.8266 0.5357 0.1724 +vn -0.3876 0.3005 0.8714 +vn -0.8613 -0.1798 0.4752 +vn -0.8091 -0.5497 -0.2077 +vn -0.2777 -0.5890 -0.7589 +vn 0.4065 -0.2893 -0.8666 +vn 0.8577 0.1709 -0.4849 +vn 0.2868 0.6120 0.7370 +vn 0.8354 0.5069 0.2124 +vn -0.4290 0.3580 0.8293 +vn -0.8930 -0.1055 0.4376 +vn -0.8352 -0.5084 -0.2098 +vn -0.2874 -0.6143 -0.7348 +vn 0.4291 -0.3603 -0.8283 +vn 0.8939 0.1040 -0.4360 +vn 0.2753 0.6096 0.7433 +vn 0.8294 0.5126 0.2221 +vn -0.4331 0.3518 0.8299 +vn -0.8904 -0.1063 0.4425 +vn -0.8396 -0.5056 -0.1987 +vn -0.2998 -0.6150 -0.7293 +vn 0.4224 -0.3615 -0.8312 +vn 0.8940 0.1090 -0.4345 +vn 0.1489 -0.9884 0.0285 +vn 0.1514 -0.9881 0.0286 +vn -0.5918 -0.8058 0.0203 +vn -0.5915 -0.8061 0.0201 +vn 0.8036 -0.5948 0.0223 +vn 0.8060 -0.5915 0.0223 +vn 0.9889 0.1485 0.0050 +vn 0.9884 0.1517 0.0050 +vn 0.5922 0.8057 -0.0132 +vn 0.5918 0.8060 -0.0131 +vn -0.1540 0.9878 -0.0216 +vn -0.1515 0.9882 -0.0215 +vn -0.8085 0.5883 -0.0152 +vn -0.8061 0.5916 -0.0152 +vn -0.9880 -0.1546 0.0021 +vn -0.9884 -0.1515 0.0021 +vn 0.1551 -0.9878 0.0106 +vn -0.5921 -0.8059 -0.0029 +vn 0.8093 -0.5871 0.0198 +vn 0.9875 0.1562 0.0196 +vn 0.5910 0.8066 0.0101 +vn -0.1481 0.9890 -0.0033 +vn -0.8027 0.5962 -0.0129 +vn -0.9890 -0.1475 -0.0127 +vn 0.1613 -0.9855 -0.0518 +vn -0.5912 -0.8026 -0.0793 +vn 0.8139 -0.5809 0.0082 +vn 0.9849 0.1605 0.0649 +vn 0.5869 0.8051 0.0856 +vn -0.1471 0.9874 0.0592 +vn -0.7991 0.6012 0.0003 +vn -0.9886 -0.1396 -0.0573 +vn 0.1618 -0.9799 -0.1167 +vn -0.5842 -0.7961 -0.1577 +vn 0.8108 -0.5853 -0.0048 +vn 0.9823 0.1507 0.1117 +vn 0.5822 0.7961 0.1651 +vn -0.1545 0.9801 0.1249 +vn -0.8038 0.5948 0.0139 +vn -0.9845 -0.1414 -0.1035 +vn 0.1470 -0.9862 -0.0761 +vn -0.5832 -0.8040 -0.1164 +vn 0.7961 -0.6051 0.0100 +vn 0.9868 0.1320 0.0938 +vn 0.5908 0.7971 0.1250 +vn -0.1634 0.9831 0.0828 +vn -0.8160 0.5780 -0.0068 +vn -0.9827 -0.1629 -0.0886 +vn 0.1366 -0.9889 0.0587 +vn -0.5915 -0.8054 0.0386 +vn 0.7913 -0.6096 0.0473 +vn 0.9913 0.1311 0.0101 +vn 0.5969 0.8017 -0.0317 +vn -0.1620 0.9854 -0.0523 +vn -0.8169 0.5754 -0.0393 +vn -0.9862 -0.1656 -0.0016 +vn 0.1434 -0.9711 0.1907 +vn -0.5875 -0.7862 0.1914 +vn 0.7955 -0.6004 0.0826 +vn 0.9895 0.1243 -0.0735 +vn 0.5953 0.7818 -0.1856 +vn -0.1593 0.9700 -0.1835 +vn -0.8143 0.5763 -0.0696 +vn -0.9848 -0.1517 0.0851 +vn 0.1615 -0.9438 0.2884 +vn -0.5782 -0.7693 0.2717 +vn 0.8061 -0.5747 0.1413 +vn 0.9882 0.1268 -0.0864 +vn 0.5950 0.7595 -0.2627 +vn -0.1519 0.9476 -0.2812 +vn -0.8098 0.5721 -0.1300 +vn -0.9847 -0.1430 0.0994 +vn 0.1698 -0.8907 0.4217 +vn -0.5641 -0.7629 0.3160 +vn 0.8040 -0.5180 0.2922 +vn 0.9892 0.1465 0.0002 +vn 0.6109 0.7353 -0.2933 +vn -0.1377 0.8988 -0.4161 +vn -0.8118 0.5112 -0.2823 +vn -0.9816 -0.1889 0.0267 +vn 0.1456 -0.8169 0.5581 +vn -0.5817 -0.7321 0.3545 +vn 0.7825 -0.4362 0.4442 +vn 0.9774 0.1972 0.0768 +vn 0.5991 0.7267 -0.3361 +vn -0.1381 0.8274 -0.5443 +vn -0.7909 0.4378 -0.4275 +vn -0.9758 -0.2116 -0.0555 +vn 0.1296 -0.9025 0.4107 +vn -0.6320 -0.7231 0.2786 +vn 0.8199 -0.4993 0.2803 +vn 0.9752 0.2193 -0.0298 +vn 0.5394 0.7882 -0.2964 +vn -0.1825 0.9060 -0.3820 +vn -0.7991 0.5414 -0.2616 +vn -0.9933 -0.1154 0.0017 +vn 0.0479 -0.9928 -0.1095 +vn -0.6705 -0.7310 0.1269 +vn 0.7665 -0.5786 -0.2786 +vn 0.9444 0.2111 -0.2520 +vn 0.5540 0.8291 -0.0757 +vn -0.1213 0.9830 0.1378 +vn -0.7284 0.6253 0.2799 +vn -0.9586 -0.0599 0.2785 +vn -0.1561 -0.8075 -0.5689 +vn -0.7176 -0.6962 -0.0191 +vn 0.5181 -0.3979 -0.7571 +vn 0.8533 0.2593 -0.4523 +vn 0.6589 0.7448 0.1051 +vn 0.1028 0.8055 0.5836 +vn -0.5008 0.4365 0.7474 +vn -0.8409 -0.1700 0.5139 +vn -0.2420 -0.6692 -0.7026 +vn -0.7289 -0.6754 -0.1121 +vn 0.3814 -0.2783 -0.8815 +vn 0.7893 0.2750 -0.5490 +vn 0.7326 0.6717 0.1107 +vn 0.2426 0.6709 0.7007 +vn -0.3838 0.2790 0.8803 +vn -0.7883 -0.2796 0.5481 +vn -0.2238 -0.6763 -0.7019 +vn -0.7139 -0.6869 -0.1359 +vn 0.3841 -0.2955 -0.8747 +vn 0.7859 0.2514 -0.5649 +vn 0.7449 0.6622 0.0807 +vn 0.2557 0.6758 0.6913 +vn -0.3931 0.2706 0.8788 +vn -0.7964 -0.3008 0.5246 +vn 0.2582 0.6546 0.7105 +vn 0.2590 0.6646 0.7009 +vn 0.2149 0.9766 0.0026 +vn 0.2168 0.9761 0.0163 +vn 0.1504 -0.0425 0.9877 +vn 0.1521 -0.0369 0.9877 +vn -0.0420 -0.7127 0.7002 +vn -0.0430 -0.7164 0.6964 +vn -0.2104 -0.9775 0.0107 +vn -0.2124 -0.9772 -0.0029 +vn -0.2572 -0.6752 -0.6913 +vn -0.2565 -0.6652 -0.7012 +vn -0.1511 0.0304 -0.9880 +vn -0.1494 0.0363 -0.9881 +vn 0.0467 0.7196 -0.6928 +vn 0.0457 0.7158 -0.6968 +vn 0.2307 0.6857 0.6904 +vn 0.2473 0.9687 -0.0204 +vn 0.0777 -0.0103 0.9969 +vn -0.1225 -0.7034 0.7001 +vn -0.2473 -0.9688 -0.0186 +vn -0.2230 -0.6589 -0.7185 +vn -0.0696 0.0256 -0.9972 +vn 0.1229 0.6920 -0.7113 +vn 0.1517 0.7222 0.6749 +vn 0.3419 0.9392 -0.0304 +vn -0.1343 0.0626 0.9890 +vn -0.3386 -0.6443 0.6857 +vn -0.3298 -0.9432 -0.0390 +vn -0.1260 -0.6788 -0.7235 +vn 0.1461 -0.0363 -0.9886 +vn 0.3367 0.6226 -0.7064 +vn 0.0652 0.7455 0.6633 +vn 0.4292 0.9032 0.0079 +vn -0.3415 0.1401 0.9294 +vn -0.5420 -0.5533 0.6326 +vn -0.4129 -0.9096 -0.0459 +vn -0.0404 -0.7233 -0.6893 +vn 0.3505 -0.1247 -0.9282 +vn 0.5425 0.5402 -0.6433 +vn 0.0591 0.7107 0.7010 +vn 0.4132 0.9090 0.0544 +vn -0.3222 0.1114 0.9401 +vn -0.5216 -0.5469 0.6549 +vn -0.4288 -0.9034 -0.0004 +vn -0.0839 -0.7410 -0.6662 +vn 0.3184 -0.1290 -0.9391 +vn 0.5269 0.5651 -0.6349 +vn 0.1874 0.6488 0.7375 +vn 0.3350 0.9407 0.0530 +vn -0.0615 0.0001 0.9981 +vn -0.2750 -0.6458 0.7122 +vn -0.3378 -0.9407 0.0317 +vn -0.2074 -0.7018 -0.6815 +vn 0.0542 -0.0274 -0.9982 +vn 0.2851 0.6724 -0.6831 +vn 0.3285 0.6148 0.7170 +vn 0.2557 0.9658 0.0435 +vn 0.2139 -0.0801 0.9736 +vn -0.0187 -0.7272 0.6862 +vn -0.2419 -0.9702 0.0105 +vn -0.3283 -0.6532 -0.6823 +vn -0.2182 0.0634 -0.9738 +vn 0.0279 0.7444 -0.6672 +vn 0.3799 0.6220 0.6846 +vn 0.2174 0.9758 0.0241 +vn 0.3198 -0.0964 0.9426 +vn 0.0732 -0.7579 0.6483 +vn -0.2160 -0.9760 -0.0268 +vn -0.3781 -0.6210 -0.6866 +vn -0.3181 0.0967 -0.9431 +vn -0.0719 0.7569 -0.6496 +vn 0.3771 0.6341 0.6751 +vn 0.2136 0.9769 0.0082 +vn 0.3175 -0.0905 0.9439 +vn 0.0668 -0.7624 0.6437 +vn -0.2224 -0.9741 -0.0421 +vn -0.3769 -0.6101 -0.6970 +vn -0.3123 0.1004 -0.9446 +vn -0.0705 0.7511 -0.6564 +vn -0.7490 0.0220 0.6622 +vn -0.7552 0.0160 0.6553 +vn -0.9273 -0.3737 0.0196 +vn -0.9277 -0.3725 0.0230 +vn -0.1294 0.4016 0.9066 +vn -0.1405 0.3973 0.9069 +vn 0.5605 0.5459 0.6228 +vn 0.5560 0.5462 0.6265 +vn 0.9260 0.3771 -0.0173 +vn 0.9264 0.3760 -0.0207 +vn 0.7604 -0.0080 -0.6494 +vn 0.7544 -0.0138 -0.6563 +vn 0.1508 -0.3906 -0.9081 +vn 0.1397 -0.3951 -0.9080 +vn -0.5523 -0.5443 -0.6315 +vn -0.5569 -0.5440 -0.6276 +vn -0.7745 0.0380 0.6314 +vn -0.9486 -0.3163 -0.0131 +vn -0.1501 0.3742 0.9151 +vn 0.5693 0.4926 0.6582 +vn 0.9490 0.3152 0.0027 +vn 0.7560 -0.0509 -0.6526 +vn 0.1176 -0.3826 -0.9164 +vn -0.5829 -0.4893 -0.6487 +vn -0.7947 0.1106 0.5969 +vn -0.9824 -0.1708 -0.0754 +vn -0.1463 0.3319 0.9319 +vn 0.5983 0.3592 0.7163 +vn 0.9838 0.1684 0.0619 +vn 0.7690 -0.1233 -0.6272 +vn 0.1014 -0.3375 -0.9359 +vn -0.6162 -0.3545 -0.7033 +vn -0.7967 0.1915 0.5732 +vn -0.9918 -0.0147 -0.1269 +vn -0.1381 0.2891 0.9473 +vn 0.6094 0.2164 0.7627 +vn 0.9931 0.0133 0.1164 +vn 0.7770 -0.1963 -0.5982 +vn 0.1035 -0.2874 -0.9522 +vn -0.6230 -0.2113 -0.7531 +vn -0.7850 0.2278 0.5761 +vn -0.9886 0.0531 -0.1410 +vn -0.1208 0.2696 0.9554 +vn 0.6136 0.1540 0.7745 +vn 0.9887 -0.0509 0.1408 +vn 0.7859 -0.2254 -0.5758 +vn 0.1223 -0.2674 -0.9558 +vn -0.6129 -0.1520 -0.7754 +vn -0.7791 0.2281 0.5839 +vn -0.9892 0.0515 -0.1372 +vn -0.1106 0.2699 0.9565 +vn 0.6178 0.1555 0.7708 +vn 0.9886 -0.0472 0.1429 +vn 0.7918 -0.2226 -0.5688 +vn 0.1326 -0.2687 -0.9541 +vn -0.6089 -0.1555 -0.7778 +vn -0.6908 0.1901 0.6976 +vn -0.6942 0.1924 0.6936 +vn -0.9056 0.4240 -0.0045 +vn -0.9058 0.4237 -0.0031 +vn -0.0697 -0.1541 0.9856 +vn -0.0756 -0.1513 0.9856 +vn 0.5900 -0.4064 0.6977 +vn 0.5875 -0.4057 0.7002 +vn 0.9066 -0.4220 0.0063 +vn 0.9067 -0.4217 0.0049 +vn 0.6985 -0.1925 -0.6892 +vn 0.6952 -0.1902 -0.6932 +vn 0.0826 0.1507 -0.9851 +vn 0.0767 0.1535 -0.9852 +vn -0.5839 0.4072 -0.7023 +vn -0.5864 0.4079 -0.6998 +vn -0.6895 0.2140 0.6919 +vn -0.8891 0.4577 -0.0000 +vn -0.0868 -0.1546 0.9842 +vn 0.5702 -0.4330 0.6981 +vn 0.8908 -0.4545 -0.0034 +vn 0.6816 -0.2050 -0.7024 +vn 0.0718 0.1652 -0.9836 +vn -0.5758 0.4378 -0.6905 +vn -0.6766 0.2572 0.6900 +vn -0.8281 0.5604 0.0151 +vn -0.1283 -0.1994 0.9715 +vn 0.5055 -0.5417 0.6716 +vn 0.8323 -0.5529 -0.0405 +vn 0.6539 -0.2298 -0.7209 +vn 0.0962 0.2236 -0.9699 +vn -0.5107 0.5459 -0.6643 +vn -0.6453 0.2805 0.7106 +vn -0.7551 0.6532 0.0554 +vn -0.1566 -0.2569 0.9537 +vn 0.4260 -0.6437 0.6357 +vn 0.7580 -0.6494 -0.0609 +vn 0.6389 -0.2663 -0.7218 +vn 0.1438 0.2727 -0.9513 +vn -0.4295 0.6493 -0.6277 +vn -0.5895 0.2873 0.7549 +vn -0.7949 0.6012 0.0814 +vn -0.0512 -0.1811 0.9821 +vn 0.5089 -0.5436 0.6675 +vn 0.7928 -0.6093 -0.0136 +vn 0.6339 -0.3300 -0.6994 +vn 0.0938 0.1563 -0.9832 +vn -0.5127 0.5535 -0.6563 +vn -0.5314 0.3643 0.7648 +vn -0.9077 0.4077 0.0990 +vn 0.1304 0.1196 0.9842 +vn 0.7156 -0.1862 0.6732 +vn 0.9197 -0.3926 0.0010 +vn 0.6181 -0.3849 -0.6854 +vn -0.0664 -0.1449 -0.9872 +vn -0.7285 0.1974 -0.6560 +vn -0.5195 0.4559 0.7227 +vn -0.9679 0.2013 0.1505 +vn 0.2138 0.4440 0.8702 +vn 0.8211 0.1892 0.5386 +vn 0.9814 -0.1697 -0.0899 +vn 0.5879 -0.4391 -0.6794 +vn -0.1679 -0.4535 -0.8753 +vn -0.8300 -0.1842 -0.5265 +vn -0.5630 0.4291 0.7063 +vn -0.9839 0.0896 0.1543 +vn 0.1995 0.5117 0.8357 +vn 0.8391 0.2868 0.4622 +vn 0.9772 -0.1059 -0.1840 +vn 0.5435 -0.4337 -0.7186 +vn -0.1981 -0.5102 -0.8369 +vn -0.8251 -0.2969 -0.4806 +vn -0.5805 0.3100 0.7529 +vn -0.9854 0.1058 0.1331 +vn 0.1860 0.3297 0.9256 +vn 0.8404 0.1449 0.5222 +vn 0.9731 -0.1248 -0.1935 +vn 0.5367 -0.3159 -0.7824 +vn -0.1962 -0.3264 -0.9246 +vn -0.8189 -0.1549 -0.5527 +vn -0.5766 0.1869 0.7953 +vn -0.9817 0.1275 0.1414 +vn 0.1774 0.1345 0.9749 +vn 0.8235 0.0022 0.5674 +vn 0.9761 -0.1299 -0.1743 +vn 0.5595 -0.1852 -0.8079 +vn -0.1740 -0.1339 -0.9756 +vn -0.8086 -0.0056 -0.5883 +vn -0.5728 0.1366 0.8082 +vn -0.9794 0.1235 0.1599 +vn 0.1686 0.0705 0.9832 +vn 0.8116 -0.0362 0.5832 +vn 0.9798 -0.1211 -0.1589 +vn 0.5737 -0.1344 -0.8080 +vn -0.1684 -0.0683 -0.9833 +vn -0.8119 0.0386 -0.5826 +vn -0.5675 0.1385 0.8116 +vn -0.9776 0.1245 0.1696 +vn 0.1679 0.0734 0.9831 +vn 0.8073 -0.0334 0.5891 +vn 0.9814 -0.1206 -0.1490 +vn 0.5787 -0.1366 -0.8040 +vn -0.1697 -0.0706 -0.9830 +vn -0.8165 0.0381 -0.5760 +vn -0.1341 0.6846 0.7165 +vn -0.1385 0.6958 0.7047 +vn -0.2937 0.9559 0.0004 +vn -0.2917 0.9563 0.0213 +vn 0.0984 0.0257 0.9948 +vn 0.0981 0.0290 0.9948 +vn 0.2754 -0.6458 0.7121 +vn 0.2776 -0.6542 0.7036 +vn 0.2972 -0.9546 0.0202 +vn 0.2954 -0.9554 -0.0005 +vn 0.1449 -0.7067 -0.6925 +vn 0.1403 -0.6953 -0.7049 +vn -0.0956 -0.0319 -0.9949 +vn -0.0960 -0.0284 -0.9950 +vn -0.2779 0.6634 -0.6947 +vn -0.2757 0.6548 -0.7037 +vn -0.2125 0.6930 0.6889 +vn -0.2738 0.9613 -0.0295 +vn -0.0201 -0.0005 0.9998 +vn 0.1856 -0.6958 0.6939 +vn 0.2769 -0.9604 -0.0300 +vn 0.2060 -0.6589 -0.7235 +vn 0.0204 0.0106 -0.9997 +vn -0.1756 0.6727 -0.7187 +vn -0.3693 0.6594 0.6548 +vn -0.2182 0.9754 -0.0298 +vn -0.2961 -0.0702 0.9526 +vn -0.0349 -0.7591 0.6500 +vn 0.2436 -0.9688 -0.0467 +vn 0.3739 -0.6096 -0.6990 +vn 0.2945 0.0834 -0.9520 +vn 0.0543 0.7291 -0.6823 +vn -0.5169 0.6224 0.5877 +vn -0.1715 0.9852 0.0038 +vn -0.5534 -0.1252 0.8234 +vn -0.2466 -0.7977 0.5504 +vn 0.2068 -0.9769 -0.0540 +vn 0.5308 -0.5823 -0.6158 +vn 0.5516 0.1351 -0.8231 +vn 0.2663 0.7757 -0.5722 +vn -0.5808 0.5915 0.5593 +vn -0.1736 0.9839 0.0420 +vn -0.6471 -0.1458 0.7483 +vn -0.3357 -0.7975 0.5013 +vn 0.1732 -0.9841 -0.0393 +vn 0.5813 -0.5928 -0.5574 +vn 0.6480 0.1456 -0.7476 +vn 0.3358 0.7984 -0.4998 +vn -0.5833 0.5800 0.5686 +vn -0.1859 0.9810 0.0553 +vn -0.6426 -0.1480 0.7517 +vn -0.3385 -0.7908 0.5100 +vn 0.1622 -0.9864 -0.0251 +vn 0.5741 -0.6053 -0.5514 +vn 0.6454 0.1421 -0.7505 +vn 0.3267 0.8046 -0.4959 +vn -0.7662 -0.2536 0.5904 +vn -0.9830 0.1834 0.0007 +vn -0.1004 -0.5415 0.8347 +vn 0.6243 -0.5115 0.5904 +vn 0.9834 -0.1813 0.0007 +vn 0.7666 0.2557 -0.5890 +vn 0.1008 0.5435 -0.8333 +vn -0.6239 0.5136 -0.5890 +vn -0.7662 -0.2537 0.5904 +vn -0.9831 0.1833 0.0007 +vn 0.6243 -0.5116 0.5904 +vn 0.9834 -0.1814 0.0006 +vn 0.7666 0.2556 -0.5891 +vn 0.1008 0.5435 -0.8334 +vn -0.6239 0.5135 -0.5891 +vn -0.7662 -0.2538 0.5904 +vn -0.9831 0.1833 0.0006 +vn -0.1004 -0.5416 0.8346 +vn 0.1008 0.5434 -0.8334 +vn 0.0472 0.6953 0.7171 +vn 0.0489 0.7067 0.7058 +vn 0.1001 0.9950 -0.0024 +vn 0.0994 0.9950 0.0135 +vn -0.0313 -0.0027 0.9995 +vn -0.0301 0.0043 0.9995 +vn -0.0909 -0.6956 0.7126 +vn -0.0906 -0.6999 0.7085 +vn -0.0982 -0.9950 0.0181 +vn -0.0975 -0.9952 0.0026 +vn -0.0480 -0.7184 -0.6940 +vn -0.0463 -0.7070 -0.7057 +vn 0.0316 -0.0119 -0.9994 +vn 0.0329 -0.0046 -0.9994 +vn 0.0932 0.7040 -0.7040 +vn 0.0934 0.6996 -0.7084 +vn 0.0186 0.7270 0.6864 +vn 0.1443 0.9893 -0.0201 +vn -0.1186 0.0262 0.9926 +vn -0.1837 -0.6954 0.6948 +vn -0.1361 -0.9904 -0.0236 +vn -0.0074 -0.6958 -0.7182 +vn 0.1250 -0.0065 -0.9921 +vn 0.1870 0.6828 -0.7063 +vn -0.0518 0.7468 0.6630 +vn 0.2449 0.9695 -0.0031 +vn -0.3227 0.0702 0.9439 +vn -0.3953 -0.6572 0.6418 +vn -0.2230 -0.9734 -0.0531 +vn 0.0786 -0.7071 -0.7027 +vn 0.3313 -0.0437 -0.9425 +vn 0.3990 0.6398 -0.6569 +vn -0.1225 0.7629 0.6348 +vn 0.3331 0.9417 0.0483 +vn -0.5114 0.1251 0.8502 +vn -0.5896 -0.5940 0.5473 +vn -0.3077 -0.9476 -0.0865 +vn 0.1523 -0.7355 -0.6601 +vn 0.5192 -0.1054 -0.8481 +vn 0.5929 0.5804 -0.5582 +vn -0.1645 0.7593 0.6296 +vn 0.3534 0.9310 0.0914 +vn -0.5849 0.1429 0.7985 +vn -0.6627 -0.5564 0.5013 +vn -0.3527 -0.9315 -0.0887 +vn 0.1650 -0.7610 -0.6274 +vn 0.5860 -0.1442 -0.7974 +vn 0.6639 0.5562 -0.4998 +vn -0.1726 0.7509 0.6375 +vn 0.3441 0.9334 0.1016 +vn -0.5840 0.1358 0.8003 +vn -0.6604 -0.5539 0.5070 +vn -0.3592 -0.9301 -0.0768 +vn 0.1545 -0.7685 -0.6209 +vn 0.5814 -0.1492 -0.7998 +vn 0.6607 0.5614 -0.4983 +vn 0.2195 -0.6725 0.7068 +vn 0.2243 -0.6785 0.6995 +vn 0.4794 -0.8776 0.0058 +vn 0.4786 -0.8780 0.0116 +vn -0.1672 -0.0741 0.9831 +vn -0.1630 -0.0819 0.9832 +vn -0.4555 0.5636 0.6891 +vn -0.4552 0.5620 0.6907 +vn -0.4822 0.8761 -0.0005 +vn -0.4814 0.8765 -0.0062 +vn -0.2309 0.6833 -0.6927 +vn -0.2262 0.6775 -0.6999 +vn 0.1568 0.0889 -0.9836 +vn 0.1611 0.0809 -0.9836 +vn 0.4528 -0.5614 -0.6927 +vn 0.4532 -0.5631 -0.6911 +vn 0.2185 -0.6926 0.6875 +vn 0.4350 -0.9004 -0.0102 +vn -0.1283 -0.0784 0.9886 +vn -0.4019 0.5868 0.7029 +vn -0.4350 0.9004 -0.0062 +vn -0.2087 0.6743 -0.7083 +vn 0.1371 0.0547 -0.9891 +vn 0.4009 -0.5923 -0.6989 +vn 0.2109 -0.7017 0.6805 +vn 0.3316 -0.9430 -0.0291 +vn -0.0363 -0.0437 0.9984 +vn -0.2646 0.6473 0.7149 +vn -0.3322 0.9432 -0.0035 +vn -0.2013 0.6727 -0.7120 +vn 0.0442 0.0152 -0.9989 +vn 0.2623 -0.6464 -0.7165 +vn 0.2008 -0.6995 0.6859 +vn 0.2224 -0.9747 -0.0218 +vn 0.0612 -0.0127 0.9980 +vn -0.1165 0.6870 0.7172 +vn -0.2254 0.9743 0.0037 +vn -0.1996 0.6777 -0.7077 +vn -0.0576 -0.0125 -0.9983 +vn 0.1159 -0.6909 -0.7136 +vn 0.1210 -0.6982 0.7056 +vn 0.1450 -0.9894 0.0076 +vn 0.0278 -0.0114 0.9995 +vn -0.0820 0.6843 0.7246 +vn -0.1462 0.9889 0.0258 +vn -0.1252 0.7076 -0.6955 +vn -0.0289 -0.0023 -0.9996 +vn 0.0839 -0.7078 -0.7014 +vn -0.0616 -0.7148 0.6966 +vn 0.0718 -0.9973 0.0143 +vn -0.1604 -0.0352 0.9864 +vn -0.1705 0.6669 0.7254 +vn -0.0833 0.9956 0.0438 +vn 0.0548 0.7338 -0.6772 +vn 0.1600 0.0149 -0.9870 +vn 0.1652 -0.7076 -0.6870 +vn -0.2413 -0.7257 0.6443 +vn -0.0002 -0.9999 -0.0171 +vn -0.3452 -0.0414 0.9376 +vn -0.2535 0.6701 0.6976 +vn -0.0135 0.9988 0.0481 +vn 0.2364 0.7344 -0.6362 +vn 0.3439 0.0258 -0.9387 +vn 0.2433 -0.6957 -0.6758 +vn -0.2151 -0.7310 0.6475 +vn 0.0404 -0.9984 -0.0399 +vn -0.3400 -0.0174 0.9403 +vn -0.2601 0.7004 0.6646 +vn -0.0305 0.9995 0.0042 +vn 0.2133 0.7279 -0.6517 +vn 0.3363 0.0478 -0.9405 +vn 0.2682 -0.6657 -0.6964 +vn 0.0209 -0.7079 0.7060 +vn 0.1856 -0.9825 -0.0146 +vn -0.1582 0.0109 0.9873 +vn -0.2384 0.7111 0.6614 +vn -0.1789 0.9830 -0.0420 +vn -0.0206 0.7011 -0.7128 +vn 0.1483 0.0319 -0.9884 +vn 0.2350 -0.6616 -0.7121 +vn 0.2544 -0.6435 0.7219 +vn 0.3271 -0.9450 0.0057 +vn 0.0254 0.0506 0.9984 +vn -0.2171 0.7078 0.6722 +vn -0.3296 0.9432 -0.0418 +vn -0.2541 0.6405 -0.7247 +vn -0.0364 -0.0223 -0.9991 +vn 0.2034 -0.6782 -0.7061 +vn 0.3399 -0.6093 0.7164 +vn 0.3836 -0.9232 0.0209 +vn 0.0971 0.0601 0.9935 +vn -0.2035 0.6952 0.6895 +vn -0.3853 0.9226 -0.0193 +vn -0.3415 0.6088 -0.7161 +vn -0.0984 -0.0618 -0.9932 +vn 0.2022 -0.6970 -0.6880 +vn 0.3359 -0.6101 0.7176 +vn 0.3822 -0.9235 0.0316 +vn 0.0976 0.0508 0.9939 +vn -0.1991 0.6864 0.6994 +vn -0.3822 0.9241 -0.0086 +vn -0.3387 0.6109 -0.7156 +vn -0.0924 -0.0694 -0.9933 +vn 0.2072 -0.7054 -0.6779 +vn 0.6533 -0.2407 0.7178 +vn 0.6647 -0.2464 0.7053 +vn 0.9215 -0.3884 -0.0029 +vn 0.9218 -0.3874 0.0157 +vn 0.0122 0.0423 0.9990 +vn 0.0182 0.0390 0.9991 +vn -0.6328 0.2994 0.7141 +vn -0.6382 0.3007 0.7087 +vn -0.9218 0.3870 0.0214 +vn -0.9224 0.3861 0.0032 +vn -0.6772 0.2498 -0.6921 +vn -0.6657 0.2441 -0.7051 +vn -0.0258 -0.0382 -0.9989 +vn -0.0193 -0.0416 -0.9989 +vn 0.6429 -0.3046 -0.7028 +vn 0.6372 -0.3032 -0.7085 +vn 0.6994 -0.2144 0.6819 +vn 0.9028 -0.4294 -0.0235 +vn 0.0715 0.1316 0.9887 +vn -0.6046 0.3985 0.6897 +vn -0.9072 0.4198 -0.0278 +vn -0.6701 0.1915 -0.7172 +vn -0.0550 -0.1436 -0.9881 +vn 0.5874 -0.3972 -0.7051 +vn 0.7511 -0.1322 0.6468 +vn 0.8543 -0.5197 -0.0026 +vn 0.1898 0.3440 0.9196 +vn -0.4968 0.6088 0.6185 +vn -0.8679 0.4929 -0.0619 +vn -0.7185 0.0882 -0.6899 +vn -0.1672 -0.3596 -0.9180 +vn 0.4729 -0.6072 -0.6385 +vn 0.7986 -0.0518 0.5996 +vn 0.8042 -0.5916 0.0578 +vn 0.3124 0.5282 0.7895 +vn -0.3702 0.7863 0.4947 +vn -0.8215 0.5614 -0.0996 +vn -0.7803 0.0089 -0.6254 +vn -0.2957 -0.5407 -0.7875 +vn 0.3511 -0.7860 -0.5088 +vn 0.8118 -0.0020 0.5840 +vn 0.7921 -0.6011 0.1061 +vn 0.3557 0.5969 0.7192 +vn -0.3074 0.8463 0.4351 +vn -0.7924 0.6012 -0.1032 +vn -0.8134 0.0025 -0.5817 +vn -0.3572 -0.5973 -0.7181 +vn 0.3073 -0.8472 -0.4335 +vn 0.8058 0.0100 0.5921 +vn 0.7985 -0.5905 0.1168 +vn 0.3487 0.5978 0.7219 +vn -0.3043 0.8437 0.4423 +vn -0.7875 0.6096 -0.0906 +vn -0.8174 0.0170 -0.5758 +vn -0.3604 -0.5915 -0.7213 +vn 0.3150 -0.8453 -0.4317 +vn -0.2443 -0.7050 0.6658 +vn -0.6128 -0.7903 0.0004 +vn 0.2668 -0.2064 0.9414 +vn 0.6211 0.4135 0.6658 +vn 0.6111 0.7916 0.0004 +vn 0.2426 0.7063 -0.6650 +vn -0.2685 0.2077 -0.9406 +vn -0.6228 -0.4122 -0.6650 +vn -0.2443 -0.7051 0.6657 +vn -0.6127 -0.7903 0.0004 +vn 0.2668 -0.2065 0.9414 +vn 0.6212 0.4134 0.6657 +vn 0.6111 0.7915 0.0004 +vn 0.2427 0.7063 -0.6650 +vn -0.2684 0.2077 -0.9406 +vn -0.2442 -0.7051 0.6657 +vn -0.6127 -0.7903 0.0003 +vn 0.2669 -0.2065 0.9413 +vn 0.6112 0.7915 0.0003 +vn -0.2684 0.2077 -0.9407 +vn -0.6227 -0.4122 -0.6650 +vn -0.2464 -0.7546 0.6082 +vn -0.7090 -0.7052 0.0005 +vn 0.3602 -0.3616 0.8600 +vn 0.7555 0.2436 0.6082 +vn 0.7078 0.7064 0.0005 +vn 0.2452 0.7558 -0.6072 +vn -0.3615 0.3628 -0.8589 +vn -0.7567 -0.2424 -0.6072 +vn 0.3603 -0.3616 0.8599 +vn 0.2452 0.7557 -0.6072 +vn -0.3614 0.3627 -0.8589 +vn -0.7566 -0.2424 -0.6072 +vn -0.2463 -0.7546 0.6082 +vn 0.7555 0.2435 0.6082 +vn 0.7079 0.7064 0.0005 +vn 0.2452 0.7557 -0.6073 +vn -0.3614 0.3627 -0.8590 +vn -0.7566 -0.2424 -0.6073 +vn 0.6708 -0.2933 0.6812 +vn 0.7804 -0.6253 0.0003 +vn 0.1678 0.2100 0.9632 +vn -0.4339 0.5897 0.6812 +vn -0.7819 0.6234 0.0003 +vn -0.6723 0.2914 -0.6805 +vn -0.1693 -0.2118 -0.9625 +vn 0.4324 -0.5916 -0.6805 +vn 0.1679 0.2100 0.9632 +vn -0.7818 0.6235 0.0003 +vn -0.6723 0.2915 -0.6805 +vn 0.4324 -0.5915 -0.6805 +vn 0.6709 -0.2932 0.6811 +vn 0.7805 -0.6252 0.0003 +vn 0.1679 0.2101 0.9632 +vn -0.4338 0.5898 0.6811 +vn -0.6722 0.2915 -0.6805 +vn -0.1692 -0.2117 -0.9626 +vn 0.4325 -0.5915 -0.6805 +vn 0.5063 0.4858 0.7125 +vn 0.5102 0.4911 0.7061 +vn 0.6603 0.7510 0.0018 +vn 0.6606 0.7507 0.0076 +vn 0.0568 -0.0626 0.9964 +vn 0.0616 -0.0572 0.9965 +vn -0.4230 -0.5726 0.7023 +vn -0.4223 -0.5722 0.7030 +vn -0.6582 -0.7529 0.0036 +vn -0.6584 -0.7527 -0.0020 +vn -0.5122 -0.4980 -0.6997 +vn -0.5084 -0.4928 -0.7062 +vn -0.0646 0.0500 -0.9967 +vn -0.0597 0.0555 -0.9967 +vn 0.4235 0.5700 -0.7040 +vn 0.4242 0.5705 -0.7033 +vn 0.5209 0.4936 0.6964 +vn 0.6910 0.7228 -0.0088 +vn 0.0446 -0.0276 0.9986 +vn -0.4603 -0.5361 0.7077 +vn -0.6895 -0.7243 -0.0072 +vn -0.5072 -0.4816 -0.7147 +vn -0.0286 0.0405 -0.9988 +vn 0.4641 0.5354 -0.7056 +vn 0.5475 0.4756 0.6885 +vn 0.7787 0.6272 -0.0138 +vn -0.0054 0.0443 0.9990 +vn -0.5627 -0.4206 0.7117 +vn -0.7766 -0.6298 -0.0134 +vn -0.5182 -0.4566 -0.7232 +vn 0.0399 -0.0193 -0.9990 +vn 0.5699 0.4238 -0.7040 +vn 0.5609 0.4448 0.6982 +vn 0.8557 0.5174 0.0014 +vn -0.0656 0.1099 0.9918 +vn -0.6562 -0.2933 0.6953 +vn -0.8531 -0.5214 -0.0179 +vn -0.5411 -0.4387 -0.7175 +vn 0.0862 -0.1000 -0.9912 +vn 0.6596 0.2931 -0.6921 +vn 0.5182 0.4615 0.7200 +vn 0.8277 0.5611 0.0125 +vn -0.0929 0.0891 0.9917 +vn -0.6417 -0.3302 0.6922 +vn -0.8269 -0.5624 0.0058 +vn -0.5460 -0.4789 -0.6874 +vn 0.0553 -0.1179 -0.9915 +vn 0.6328 0.3174 -0.7063 +vn 0.4512 0.5267 0.7204 +vn 0.6749 0.7379 0.0001 +vn -0.0337 0.0084 0.9994 +vn -0.4909 -0.5064 0.7089 +vn -0.6736 -0.7386 0.0279 +vn -0.4821 -0.5617 -0.6723 +vn -0.0098 -0.0594 -0.9982 +vn 0.4796 0.4896 -0.7282 +vn 0.3807 0.5879 0.7138 +vn 0.4858 0.8741 -0.0025 +vn 0.0517 -0.0422 0.9978 +vn -0.3024 -0.6398 0.7066 +vn -0.4839 -0.8749 0.0199 +vn -0.3927 -0.6177 -0.6814 +vn -0.0727 0.0002 -0.9974 +vn 0.2951 0.6268 -0.7211 +vn 0.3515 0.6219 0.6997 +vn 0.4030 0.9152 -0.0047 +vn 0.0942 -0.0368 0.9949 +vn -0.2178 -0.6738 0.7061 +vn -0.4013 -0.9159 0.0039 +vn -0.3491 -0.6217 -0.7012 +vn -0.0914 0.0375 -0.9951 +vn 0.2199 0.6735 -0.7057 +vn 0.3560 0.6301 0.6901 +vn 0.4063 0.9137 -0.0101 +vn 0.0987 -0.0234 0.9948 +vn -0.2184 -0.6686 0.7108 +vn -0.4048 -0.9144 -0.0011 +vn -0.3474 -0.6118 -0.7106 +vn -0.0845 0.0494 -0.9952 +vn 0.2256 0.6756 -0.7019 +vn -0.8175 -0.1529 0.5553 +vn -0.9322 0.3620 0.0008 +vn -0.2237 -0.5777 0.7850 +vn 0.5013 -0.6636 0.5553 +vn 0.9329 -0.3602 0.0008 +vn 0.8182 0.1547 -0.5538 +vn 0.2244 0.5795 -0.7835 +vn -0.5007 0.6653 -0.5538 +vn -0.5006 0.6653 -0.5538 +vn -0.8175 -0.1530 0.5553 +vn -0.9322 0.3619 0.0007 +vn 0.9329 -0.3602 0.0007 +vn 0.8181 0.1546 -0.5538 +vn 0.2244 0.5794 -0.7835 +vn -0.8175 -0.1530 0.5552 +vn -0.2237 -0.5778 0.7849 +vn 0.5013 -0.6637 0.5552 +vn 0.9328 -0.3603 0.0007 +vn 0.8181 0.1546 -0.5539 +vn 0.2243 0.5794 -0.7836 +vn -0.5007 0.6652 -0.5539 +vn -0.0634 -0.8167 0.5736 +vn -0.5708 -0.8211 0.0006 +vn 0.4807 -0.3336 0.8109 +vn 0.7429 0.3452 0.5736 +vn 0.5694 0.8220 0.0006 +vn 0.0620 0.8176 -0.5724 +vn -0.4821 0.3346 -0.8097 +vn -0.7442 -0.3442 -0.5724 +vn -0.0634 -0.8167 0.5735 +vn 0.4808 -0.3336 0.8109 +vn 0.7429 0.3451 0.5736 +vn 0.5695 0.8220 0.0006 +vn 0.0621 0.8176 -0.5724 +vn -0.4821 0.3345 -0.8097 +vn -0.0633 -0.8167 0.5735 +vn -0.5707 -0.8211 0.0005 +vn 0.4808 -0.3337 0.8108 +vn 0.7430 0.3451 0.5735 +vn 0.5695 0.8220 0.0005 +vn -0.4821 0.3345 -0.8098 +vn -0.7442 -0.3443 -0.5724 +vn 0.7488 -0.0860 0.6573 +vn 0.7525 -0.0900 0.6524 +vn 0.8945 -0.4470 -0.0096 +vn 0.8951 -0.4457 -0.0061 +vn 0.1634 0.3222 0.9325 +vn 0.1693 0.3192 0.9324 +vn -0.5147 0.5410 0.6652 +vn -0.5133 0.5407 0.6665 +vn -0.8948 0.4462 0.0141 +vn -0.8955 0.4449 0.0106 +vn -0.7573 0.0919 -0.6465 +vn -0.7536 0.0879 -0.6514 +vn -0.1763 -0.3183 -0.9315 +vn -0.1704 -0.3213 -0.9315 +vn 0.5108 -0.5426 -0.6669 +vn 0.5122 -0.5428 -0.6656 +vn 0.7525 -0.1048 0.6502 +vn 0.8774 -0.4797 -0.0001 +vn 0.1867 0.3328 0.9243 +vn -0.4932 0.5751 0.6527 +vn -0.8804 0.4741 -0.0088 +vn -0.7435 0.0910 -0.6626 +vn -0.1717 -0.3437 -0.9232 +vn 0.4961 -0.5778 -0.6481 +vn 0.7591 -0.1010 0.6431 +vn 0.8454 -0.5339 0.0192 +vn 0.2213 0.3953 0.8915 +vn -0.4523 0.6554 0.6049 +vn -0.8524 0.5211 -0.0429 +vn -0.7473 0.0804 -0.6596 +vn -0.2113 -0.4039 -0.8901 +vn 0.4434 -0.6561 -0.6107 +vn 0.7635 -0.0888 0.6397 +vn 0.8155 -0.5759 0.0573 +vn 0.2644 0.4526 0.8516 +vn -0.3952 0.7283 0.5598 +vn -0.8203 0.5681 -0.0666 +vn -0.7569 0.0711 -0.6497 +vn -0.2518 -0.4644 -0.8491 +vn 0.3965 -0.7301 -0.5565 +vn 0.6889 -0.1599 0.7070 +vn 0.7579 -0.6382 0.1350 +vn 0.2346 0.4064 0.8830 +vn -0.3572 0.7472 0.5604 +vn -0.7504 0.6539 -0.0965 +vn -0.6929 0.1598 -0.7031 +vn -0.2093 -0.4329 -0.8768 +vn 0.3941 -0.7580 -0.5198 +vn 0.4999 -0.3222 0.8039 +vn 0.6522 -0.7309 0.2011 +vn 0.0726 0.2619 0.9624 +vn -0.3989 0.7045 0.5870 +vn -0.6495 0.7485 -0.1336 +vn -0.5118 0.3382 -0.7897 +vn -0.0509 -0.2899 -0.9557 +vn 0.4348 -0.7304 -0.5268 +vn 0.2879 -0.4842 0.8262 +vn 0.5289 -0.8239 0.2034 +vn -0.1142 0.1247 0.9856 +vn -0.4557 0.6678 0.5885 +vn -0.5358 0.8288 -0.1611 +vn -0.2905 0.4870 -0.8237 +vn 0.1325 -0.1554 -0.9789 +vn 0.4698 -0.6965 -0.5424 +vn 0.2207 -0.5463 0.8080 +vn 0.4323 -0.8876 0.1591 +vn -0.1258 0.1229 0.9844 +vn -0.3991 0.7227 0.5643 +vn -0.4292 0.8814 -0.1974 +vn -0.2057 0.5154 -0.8319 +vn 0.1320 -0.1423 -0.9810 +vn 0.3934 -0.7173 -0.5751 +vn 0.3025 -0.5187 0.7996 +vn 0.3570 -0.9219 0.1506 +vn 0.0628 0.2069 0.9763 +vn -0.2181 0.8080 0.5473 +vn -0.3629 0.9077 -0.2108 +vn -0.2928 0.4731 -0.8309 +vn -0.0587 -0.2234 -0.9730 +vn 0.2065 -0.7930 -0.5731 +vn 0.3783 -0.4878 0.7867 +vn 0.2787 -0.9428 0.1827 +vn 0.2543 0.2625 0.9308 +vn -0.0257 0.8589 0.5114 +vn -0.2901 0.9320 -0.2172 +vn -0.3791 0.4508 -0.8081 +vn -0.2490 -0.2839 -0.9260 +vn 0.0204 -0.8542 -0.5196 +vn 0.3974 -0.4652 0.7910 +vn 0.2422 -0.9461 0.2150 +vn 0.3191 0.2877 0.9030 +vn 0.0538 0.8715 0.4875 +vn -0.2438 0.9462 -0.2129 +vn -0.3995 0.4663 -0.7893 +vn -0.3212 -0.2872 -0.9024 +vn -0.0555 -0.8720 -0.4864 +vn 0.3972 -0.4543 0.7974 +vn 0.2474 -0.9425 0.2247 +vn 0.3145 0.2934 0.9028 +vn 0.0516 0.8694 0.4913 +vn -0.2420 0.9490 -0.2022 +vn -0.3980 0.4775 -0.7833 +vn -0.3204 -0.2803 -0.9049 +vn -0.0514 -0.8730 -0.4849 +vn 0.6562 0.4151 0.6302 +vn 0.6655 0.4126 0.6220 +vn 0.9878 0.1540 -0.0223 +vn 0.9875 0.1565 -0.0174 +vn -0.0593 0.4271 0.9023 +vn -0.0472 0.4289 0.9021 +vn -0.7349 0.1916 0.6506 +vn -0.7317 0.1934 0.6537 +vn -0.9878 -0.1531 0.0278 +vn -0.9875 -0.1556 0.0231 +vn -0.6744 -0.4117 -0.6130 +vn -0.6653 -0.4142 -0.6212 +vn 0.0351 -0.4323 -0.9010 +vn 0.0474 -0.4305 -0.9013 +vn 0.7286 -0.1969 -0.6560 +vn 0.7319 -0.1951 -0.6529 +vn 0.6812 0.3829 0.6239 +vn 0.9962 0.0874 0.0034 +vn -0.0329 0.4581 0.8883 +vn -0.7350 0.2603 0.6261 +vn -0.9952 -0.0963 -0.0158 +vn -0.6550 -0.3936 -0.6450 +vn 0.0676 -0.4566 -0.8871 +vn 0.7444 -0.2569 -0.6164 +vn 0.6847 0.3200 0.6548 +vn 0.9947 -0.0598 0.0836 +vn -0.0259 0.5189 0.8544 +vn -0.7318 0.4093 0.5450 +vn -0.9938 0.0478 -0.1003 +vn -0.6497 -0.3407 -0.6796 +vn 0.0724 -0.5229 -0.8493 +vn 0.7441 -0.4045 -0.5316 +vn 0.6681 0.2638 0.6957 +vn 0.9639 -0.1992 0.1768 +vn -0.0191 0.5780 0.8158 +vn -0.7026 0.5507 0.4507 +vn -0.9636 0.1891 -0.1890 +vn -0.6426 -0.2851 -0.7112 +vn 0.0534 -0.5862 -0.8084 +vn 0.7117 -0.5477 -0.4399 +vn 0.6467 0.2521 0.7199 +vn 0.9423 -0.2498 0.2229 +vn -0.0285 0.6059 0.7950 +vn -0.6864 0.6043 0.4047 +vn -0.9428 0.2491 -0.2216 +vn -0.6482 -0.2525 -0.7184 +vn 0.0266 -0.6068 -0.7944 +vn 0.6855 -0.6055 -0.4042 +vn 0.6394 0.2595 0.7237 +vn 0.9430 -0.2449 0.2252 +vn -0.0390 0.6075 0.7933 +vn -0.6901 0.6008 0.4034 +vn -0.9439 0.2495 -0.2162 +vn -0.6559 -0.2468 -0.7133 +vn 0.0168 -0.6032 -0.7974 +vn 0.6836 -0.6046 -0.4089 +vn -0.3316 0.6199 0.7111 +vn -0.3339 0.6236 0.7068 +vn -0.5056 0.8627 0.0001 +vn -0.5054 0.8628 0.0064 +vn 0.0351 0.0174 0.9992 +vn 0.0340 0.0196 0.9992 +vn 0.3816 -0.5938 0.7083 +vn 0.3826 -0.5955 0.7064 +vn 0.5080 -0.8614 0.0060 +vn 0.5078 -0.8615 -0.0002 +vn 0.3385 -0.6261 -0.7025 +vn 0.3361 -0.6224 -0.7069 +vn -0.0306 -0.0205 -0.9993 +vn -0.0318 -0.0183 -0.9993 +vn -0.3814 0.5984 -0.7046 +vn -0.3804 0.5968 -0.7065 +vn -0.3503 0.6212 0.7010 +vn -0.4934 0.8698 -0.0091 +vn 0.0015 0.0046 1.0000 +vn 0.3535 -0.6153 0.7046 +vn 0.4956 -0.8685 -0.0084 +vn 0.3465 -0.6093 -0.7132 +vn -0.0023 0.0028 -1.0000 +vn -0.3483 0.6122 -0.7099 +vn -0.3924 0.6100 0.6884 +vn -0.4403 0.8977 -0.0162 +vn -0.1094 -0.0450 0.9930 +vn 0.2432 -0.6775 0.6942 +vn 0.4467 -0.8944 -0.0249 +vn 0.3838 -0.5790 -0.7193 +vn 0.1020 0.0652 -0.9927 +vn -0.2356 0.6699 -0.7041 +vn -0.4293 0.5828 0.6899 +vn -0.3851 0.9229 0.0041 +vn -0.2181 -0.1040 0.9704 +vn 0.1237 -0.7288 0.6735 +vn 0.3921 -0.9197 -0.0228 +vn 0.4292 -0.5672 -0.7029 +vn 0.2176 0.1129 -0.9695 +vn -0.1172 0.7254 -0.6783 +vn -0.4110 0.5572 0.7215 +vn -0.4469 0.8940 0.0310 +vn -0.1391 -0.0912 0.9861 +vn 0.2080 -0.6823 0.7009 +vn 0.4416 -0.8968 0.0262 +vn 0.4278 -0.6025 -0.6738 +vn 0.1602 0.0587 -0.9853 +vn -0.2090 0.6923 -0.6907 +vn -0.3393 0.5921 0.7309 +vn -0.5967 0.8015 0.0392 +vn 0.1040 0.0538 0.9931 +vn 0.4867 -0.5081 0.7106 +vn 0.6059 -0.7946 0.0397 +vn 0.3865 -0.6384 -0.6656 +vn -0.0706 -0.0943 -0.9930 +vn -0.4920 0.5216 -0.6971 +vn -0.2901 0.6487 0.7035 +vn -0.7252 0.6849 0.0704 +vn 0.3024 0.2417 0.9220 +vn 0.7216 -0.2952 0.6262 +vn 0.7425 -0.6697 -0.0181 +vn 0.3402 -0.6677 -0.6621 +vn -0.2740 -0.2677 -0.9237 +vn -0.7260 0.3035 -0.6171 +vn -0.3004 0.6776 0.6713 +vn -0.7782 0.6237 0.0739 +vn 0.3539 0.3334 0.8738 +vn 0.8000 -0.2048 0.5640 +vn 0.7785 -0.6230 -0.0766 +vn 0.2996 -0.6756 -0.6737 +vn -0.3542 -0.3314 -0.8745 +vn -0.7991 0.2054 -0.5650 +vn -0.3168 0.6811 0.6602 +vn -0.7820 0.6206 0.0580 +vn 0.3428 0.3382 0.8764 +vn 0.7990 -0.2105 0.5633 +vn 0.7710 -0.6304 -0.0905 +vn 0.2844 -0.6705 -0.6852 +vn -0.3598 -0.3210 -0.8761 +vn -0.7948 0.2073 -0.5704 +vn 0.7223 -0.0602 0.6890 +vn 0.9537 -0.3007 0.0003 +vn 0.0675 0.2149 0.9743 +vn -0.6270 0.3636 0.6890 +vn -0.9544 0.2987 0.0003 +vn -0.9544 0.2987 0.0002 +vn -0.7229 0.0582 -0.6885 +vn -0.0681 -0.2169 -0.9738 +vn 0.6263 -0.3656 -0.6885 +vn 0.9537 -0.3006 0.0002 +vn 0.0675 0.2150 0.9743 +vn -0.9543 0.2987 0.0002 +vn -0.7229 0.0583 -0.6885 +vn 0.6264 -0.3655 -0.6885 +vn 0.7223 -0.0601 0.6890 +vn 0.9538 -0.3006 0.0002 +vn -0.6269 0.3637 0.6890 +vn -0.9543 0.2988 0.0002 +vn -0.0681 -0.2168 -0.9738 +vn -0.5759 -0.4142 0.7048 +vn -0.7633 -0.6461 -0.0001 +vn -0.0516 0.0609 0.9968 +vn 0.5024 0.5008 0.7048 +vn 0.7617 0.6480 -0.0001 +vn 0.5743 0.4161 -0.7050 +vn 0.0500 -0.0590 -0.9970 +vn -0.5040 -0.4989 -0.7050 +vn -0.7632 -0.6461 -0.0001 +vn -0.0516 0.0608 0.9968 +vn 0.7617 0.6479 -0.0001 +vn 0.5743 0.4160 -0.7050 +vn 0.0501 -0.0590 -0.9970 +vn -0.5040 -0.4990 -0.7050 +vn -0.5758 -0.4143 0.7048 +vn -0.7632 -0.6462 -0.0001 +vn -0.0515 0.0608 0.9968 +vn 0.5025 0.5007 0.7048 +vn 0.5744 0.4160 -0.7050 +vn 0.0501 -0.0591 -0.9970 +vn -0.5039 -0.4990 -0.7050 +vn 0.5486 -0.5485 0.6310 +vn 0.5482 -0.5547 0.6259 +vn 0.3496 -0.9369 -0.0071 +vn 0.3529 -0.9357 -0.0004 +vn 0.4236 0.1558 0.8923 +vn 0.4249 0.1521 0.8924 +vn 0.0538 0.7682 0.6380 +vn 0.0523 0.7695 0.6365 +vn -0.3483 0.9373 0.0147 +vn -0.3515 0.9361 0.0081 +vn -0.5496 0.5603 -0.6197 +vn -0.5501 0.5540 -0.6249 +vn -0.4281 -0.1491 -0.8913 +vn -0.4268 -0.1528 -0.8913 +vn -0.0527 -0.7716 -0.6339 +vn -0.0542 -0.7702 -0.6355 +vn 0.5589 -0.5598 0.6117 +vn 0.3259 -0.9454 -0.0057 +vn 0.4622 0.1596 0.8723 +vn 0.0882 0.7855 0.6126 +vn -0.3377 0.9412 -0.0111 +vn -0.5629 0.5416 -0.6244 +vn -0.4606 -0.1706 -0.8711 +vn -0.0945 -0.7824 -0.6156 +vn 0.5444 -0.5715 0.6140 +vn 0.2345 -0.9706 0.0539 +vn 0.5413 0.1646 0.8246 +vn 0.2123 0.8124 0.5430 +vn -0.2491 0.9657 -0.0727 +vn -0.5560 0.5322 -0.6385 +vn -0.5325 -0.2069 -0.8208 +vn -0.2065 -0.8203 -0.5333 +vn 0.5285 -0.5664 0.6323 +vn 0.1398 -0.9820 0.1272 +vn 0.6093 0.1883 0.7702 +vn 0.3233 0.8338 0.4474 +vn -0.1553 0.9779 -0.1399 +vn -0.5396 0.5460 -0.6409 +vn -0.6091 -0.2026 -0.7668 +vn -0.3276 -0.8317 -0.4483 +vn 0.6621 -0.5152 0.5442 +vn 0.2564 -0.9663 0.0231 +vn 0.6482 0.2478 0.7200 +vn 0.2546 0.8432 0.4735 +vn -0.2718 0.9619 -0.0283 +vn -0.6508 0.5592 -0.5136 +vn -0.6749 -0.1598 -0.7204 +vn -0.3075 -0.8036 -0.5095 +vn 0.8755 -0.3613 0.3209 +vn 0.5470 -0.7825 -0.2976 +vn 0.6462 0.2666 0.7151 +vn 0.0600 0.7204 0.6910 +vn -0.5497 0.7807 0.2972 +vn -0.8679 0.4278 -0.2526 +vn -0.7216 -0.1616 -0.6732 +vn -0.1478 -0.6811 -0.7171 +vn 0.9873 -0.1213 0.1024 +vn 0.6952 -0.4330 -0.5737 +vn 0.6613 0.2610 0.7033 +vn -0.0395 0.4814 0.8756 +vn -0.7044 0.4324 0.5629 +vn -0.9874 0.1486 -0.0543 +vn -0.7262 -0.2225 -0.6505 +vn -0.0338 -0.4711 -0.8814 +vn 0.9997 -0.0215 -0.0117 +vn 0.7013 -0.3418 -0.6256 +vn 0.7165 0.3165 0.6217 +vn -0.0066 0.4658 0.8848 +vn -0.7233 0.3305 0.6063 +vn -0.9995 -0.0025 -0.0320 +vn -0.6886 -0.3318 -0.6447 +vn 0.0117 -0.4685 -0.8834 +vn 0.9959 -0.0883 0.0218 +vn 0.6880 -0.5385 -0.4864 +vn 0.7375 0.4211 0.5280 +vn 0.0217 0.6871 0.7263 +vn -0.7169 0.5190 0.4655 +vn -0.9963 0.0297 -0.0806 +vn -0.6836 -0.4637 -0.5636 +vn 0.0047 -0.6902 -0.7236 +vn 0.9893 -0.1209 0.0813 +vn 0.6624 -0.6854 -0.3023 +vn 0.7389 0.5243 0.4232 +vn 0.0368 0.8584 0.5116 +vn -0.6872 0.6669 0.2880 +vn -0.9914 0.0766 -0.1058 +vn -0.7138 -0.5504 -0.4331 +vn -0.0347 -0.8587 -0.5113 +vn 0.9901 -0.0994 0.0995 +vn 0.6653 -0.7105 -0.2294 +vn 0.7338 0.5697 0.3702 +vn 0.0489 0.9041 0.4245 +vn -0.6646 0.7105 0.2315 +vn -0.9902 0.1002 -0.0968 +vn -0.7349 -0.5695 -0.3682 +vn -0.0492 -0.9048 -0.4230 +vn 0.9907 -0.0857 0.1058 +vn 0.6732 -0.7034 -0.2279 +vn 0.7261 0.5760 0.3754 +vn 0.0476 0.9023 0.4284 +vn -0.6577 0.7147 0.2381 +vn -0.9894 0.1136 -0.0902 +vn -0.7421 -0.5603 -0.3678 +vn -0.0494 -0.9033 -0.4262 +vn -0.6795 0.1219 0.7235 +vn -0.6966 0.1239 0.7067 +vn -0.9899 0.1420 -0.0017 +vn -0.9897 0.1420 0.0165 +vn 0.0217 0.0311 0.9993 +vn 0.0062 0.0341 0.9994 +vn 0.7025 -0.0756 0.7077 +vn 0.7034 -0.0746 0.7069 +vn 0.9901 -0.1393 0.0190 +vn 0.9903 -0.1392 0.0017 +vn 0.7138 -0.1235 -0.6894 +vn 0.6971 -0.1215 -0.7066 +vn 0.0107 -0.0343 -0.9994 +vn -0.0057 -0.0313 -0.9995 +vn -0.7038 0.0767 -0.7062 +vn -0.7029 0.0777 -0.7070 +vn -0.7208 0.1252 0.6818 +vn -0.9709 0.2384 -0.0226 +vn -0.0384 -0.0624 0.9973 +vn 0.6783 -0.2131 0.7032 +vn 0.9725 -0.2311 -0.0279 +vn 0.6748 -0.1076 -0.7301 +vn -0.0059 0.0772 -0.9970 +vn -0.6750 0.2177 -0.7050 +vn -0.7286 0.1284 0.6728 +vn -0.8914 0.4530 0.0156 +vn -0.1300 -0.2806 0.9510 +vn 0.5654 -0.5227 0.6380 +vn 0.8991 -0.4301 -0.0813 +vn 0.6765 -0.0772 -0.7323 +vn 0.0737 0.3110 -0.9476 +vn -0.5614 0.5242 -0.6403 +vn -0.7239 0.1200 0.6794 +vn -0.7703 0.6262 0.1205 +vn -0.2485 -0.4685 0.8478 +vn 0.3882 -0.7771 0.4954 +vn 0.7829 -0.5999 -0.1648 +vn 0.6972 -0.0631 -0.7141 +vn 0.2112 0.4986 -0.8407 +vn -0.3862 0.7765 -0.4979 +vn -0.7138 0.0872 0.6949 +vn -0.7173 0.6690 0.1948 +vn -0.2908 -0.5451 0.7863 +vn 0.3007 -0.8568 0.4188 +vn 0.7178 -0.6692 -0.1923 +vn 0.7159 -0.0884 -0.6926 +vn 0.2931 0.5448 -0.7857 +vn -0.3001 0.8575 -0.4180 +vn -0.7070 0.0695 0.7038 +vn -0.7239 0.6586 0.2056 +vn -0.2780 -0.5517 0.7864 +vn 0.3043 -0.8534 0.4233 +vn 0.7161 -0.6749 -0.1780 +vn 0.7221 -0.1064 -0.6836 +vn 0.3015 0.5331 -0.7905 +vn -0.3036 0.8553 -0.4199 +vn 0.1105 -0.6985 0.7070 +vn 0.1083 -0.7137 0.6921 +vn 0.0075 -0.9999 -0.0118 +vn 0.0102 -0.9999 0.0036 +vn 0.1449 0.0064 0.9894 +vn 0.1445 -0.0083 0.9895 +vn 0.0963 0.7002 0.7075 +vn 0.0954 0.7003 0.7074 +vn -0.0074 0.9996 0.0270 +vn -0.0101 0.9999 0.0123 +vn -0.1084 0.7286 -0.6763 +vn -0.1106 0.7137 -0.6916 +vn -0.1468 0.0236 -0.9889 +vn -0.1471 0.0083 -0.9891 +vn -0.0973 -0.7005 -0.7070 +vn -0.0982 -0.7004 -0.7070 +vn 0.1029 -0.7346 0.6707 +vn -0.0836 -0.9964 -0.0142 +vn 0.2305 -0.0343 0.9725 +vn 0.2176 0.6967 0.6836 +vn 0.0701 0.9972 -0.0274 +vn -0.1188 0.6923 -0.7117 +vn -0.2371 -0.0079 -0.9715 +vn -0.2219 -0.6958 -0.6831 +vn 0.0926 -0.7402 0.6660 +vn -0.2806 -0.9585 0.0505 +vn 0.4198 -0.0799 0.9041 +vn 0.4922 0.6447 0.5849 +vn 0.2531 0.9619 -0.1033 +vn -0.1354 0.6874 -0.7136 +vn -0.4373 0.0245 -0.8990 +vn -0.4942 -0.6434 -0.5847 +vn 0.0931 -0.7318 0.6751 +vn -0.4444 -0.8806 0.1645 +vn 0.5860 -0.1485 0.7966 +vn 0.7267 0.5344 0.4316 +vn 0.4166 0.8868 -0.1999 +vn -0.1404 0.6988 -0.7014 +vn -0.6058 0.1098 -0.7880 +vn -0.7269 -0.5339 -0.4320 +vn 0.1181 -0.7153 0.6888 +vn -0.4872 -0.8410 0.2352 +vn 0.6534 -0.1694 0.7378 +vn 0.8053 0.4741 0.3560 +vn 0.4872 0.8417 -0.2328 +vn -0.1175 0.7174 -0.6866 +vn -0.6537 0.1717 -0.7370 +vn -0.8061 -0.4734 -0.3551 +vn 0.1330 -0.7061 0.6955 +vn -0.4764 -0.8448 0.2435 +vn 0.6571 -0.1568 0.7373 +vn 0.8020 0.4769 0.3598 +vn 0.4933 0.8414 -0.2208 +vn -0.1024 0.7262 -0.6798 +vn -0.6453 0.1815 -0.7421 +vn -0.8037 -0.4757 -0.3575 +vn -0.0269 0.8005 0.5987 +vn -0.0172 0.8082 0.5887 +vn 0.4117 0.9106 -0.0365 +vn 0.4093 0.9118 -0.0330 +vn -0.4434 0.2149 0.8702 +vn -0.4360 0.2311 0.8698 +vn -0.5982 -0.4888 0.6350 +vn -0.5980 -0.4814 0.6408 +vn -0.4119 -0.9103 0.0411 +vn -0.4095 -0.9115 0.0379 +vn 0.0097 -0.8163 -0.5776 +vn 0.0192 -0.8091 -0.5874 +vn 0.4303 -0.2483 -0.8678 +vn 0.4379 -0.2320 -0.8686 +vn 0.5999 0.4726 -0.6455 +vn 0.6001 0.4804 -0.6395 +vn 0.0402 0.7955 0.6046 +vn 0.4948 0.8689 0.0117 +vn -0.4424 0.2631 0.8573 +vn -0.6678 -0.4348 0.6041 +vn -0.4865 -0.8734 -0.0202 +vn -0.0084 -0.7770 -0.6295 +vn 0.4691 -0.2201 -0.8552 +vn 0.6710 0.4548 -0.5856 +vn 0.1356 0.7263 0.6739 +vn 0.6574 0.7402 0.1411 +vn -0.4709 0.2974 0.8305 +vn -0.8087 -0.3190 0.4943 +vn -0.6479 -0.7461 -0.1535 +vn -0.0854 -0.7075 -0.7015 +vn 0.5171 -0.2477 -0.8193 +vn 0.8141 0.3444 -0.4676 +vn 0.1959 0.6287 0.7526 +vn 0.7739 0.5689 0.2782 +vn -0.5019 0.3276 0.8005 +vn -0.9118 -0.1735 0.3721 +vn -0.7670 -0.5735 -0.2878 +vn -0.1531 -0.6215 -0.7683 +vn 0.5432 -0.2990 -0.7846 +vn 0.9172 0.1904 -0.3500 +vn 0.1931 0.5807 0.7909 +vn 0.8039 0.4889 0.3386 +vn -0.5316 0.3312 0.7795 +vn -0.9436 -0.1124 0.3114 +vn -0.8037 -0.4901 -0.3374 +vn -0.1941 -0.5825 -0.7893 +vn 0.5307 -0.3339 -0.7791 +vn 0.9439 0.1104 -0.3113 +vn 0.1793 0.5807 0.7941 +vn 0.8009 0.4931 0.3397 +vn -0.5437 0.3227 0.7748 +vn -0.9440 -0.1204 0.3071 +vn -0.8043 -0.4927 -0.3321 +vn -0.2061 -0.5859 -0.7837 +vn 0.5177 -0.3408 -0.7847 +vn 0.9413 0.1079 -0.3198 +vn -0.5615 -0.5596 0.6096 +vn -0.5643 -0.5592 0.6074 +vn -0.9494 -0.3141 -0.0069 +vn -0.9491 -0.3148 -0.0057 +vn 0.1547 -0.4751 0.8662 +vn 0.1513 -0.4763 0.8662 +vn 0.7788 -0.1130 0.6170 +vn 0.7780 -0.1138 0.6179 +vn 0.9490 0.3150 0.0092 +vn 0.9488 0.3157 0.0080 +vn 0.5665 0.5605 -0.6042 +vn 0.5637 0.5609 -0.6063 +vn -0.1484 0.4791 -0.8651 +vn -0.1518 0.4779 -0.8652 +vn -0.7777 0.1163 -0.6178 +vn -0.7786 0.1155 -0.6169 +vn -0.5704 -0.5515 0.6087 +vn -0.9551 -0.2962 0.0017 +vn 0.1487 -0.4846 0.8620 +vn 0.7822 -0.1318 0.6089 +vn 0.9540 0.2998 -0.0042 +vn 0.5621 0.5544 -0.6138 +vn -0.1588 0.4832 -0.8610 +vn -0.7851 0.1311 -0.6053 +vn -0.5764 -0.5350 0.6177 +vn -0.9664 -0.2558 0.0259 +vn 0.1518 -0.5023 0.8513 +vn 0.7933 -0.1726 0.5839 +vn 0.9650 0.2604 -0.0301 +vn 0.5649 0.5389 -0.6248 +vn -0.1652 0.5003 -0.8499 +vn -0.7966 0.1714 -0.5797 +vn -0.5786 -0.5188 0.6293 +vn -0.9751 -0.2155 0.0529 +vn 0.1572 -0.5194 0.8400 +vn 0.8026 -0.2136 0.5570 +vn 0.9741 0.2194 -0.0555 +vn 0.5699 0.5227 -0.6340 +vn -0.1676 0.5187 -0.8383 +vn -0.8054 0.2130 -0.5532 +vn -0.5752 -0.5107 0.6390 +vn -0.9774 -0.2005 0.0667 +vn 0.1632 -0.5214 0.8375 +vn 0.8060 -0.2269 0.5467 +vn 0.9775 0.2009 -0.0636 +vn 0.5766 0.5118 -0.6368 +vn -0.1629 0.5232 -0.8365 +vn -0.8070 0.2279 -0.5448 +vn -0.5731 -0.5050 0.6454 +vn -0.9752 -0.2124 0.0630 +vn 0.1622 -0.5016 0.8498 +vn 0.8021 -0.2063 0.5605 +vn 0.9763 0.2095 -0.0544 +vn 0.5810 0.5045 -0.6388 +vn -0.1572 0.5043 -0.8491 +vn -0.8038 0.2066 -0.5579 +vn -0.5776 -0.4967 0.6478 +vn -0.9738 -0.2207 0.0542 +vn 0.1560 -0.4816 0.8624 +vn 0.7982 -0.1846 0.5734 +vn 0.9739 0.2210 -0.0508 +vn 0.5791 0.4980 -0.6454 +vn -0.1560 0.4834 -0.8614 +vn -0.7995 0.1855 -0.5713 +vn -0.5829 -0.5034 0.6378 +vn -0.9769 -0.2071 0.0523 +vn 0.1569 -0.5034 0.8497 +vn 0.8047 -0.2039 0.5576 +vn 0.9742 0.2163 -0.0640 +vn 0.5708 0.5082 -0.6449 +vn -0.1628 0.5039 -0.8483 +vn -0.8012 0.2090 -0.5607 +vn -0.5806 -0.5284 0.6194 +vn -0.9808 -0.1834 0.0656 +vn 0.1655 -0.5623 0.8102 +vn 0.8145 -0.2603 0.5185 +vn 0.9773 0.1961 -0.0805 +vn 0.5648 0.5350 -0.6283 +vn -0.1728 0.5624 -0.8086 +vn -0.8097 0.2665 -0.5229 +vn -0.5758 -0.5534 0.6018 +vn -0.9830 -0.1633 0.0842 +vn 0.1730 -0.6181 0.7668 +vn 0.8203 -0.3154 0.4771 +vn 0.9802 0.1741 -0.0944 +vn 0.5637 0.5596 -0.6076 +vn -0.1788 0.6186 -0.7651 +vn -0.8167 0.3205 -0.4798 +vn -0.5686 -0.5657 0.5972 +vn -0.9824 -0.1596 0.0974 +vn 0.1780 -0.6400 0.7475 +vn 0.8202 -0.3392 0.4606 +vn 0.9824 0.1607 -0.0956 +vn 0.5690 0.5670 -0.5956 +vn -0.1779 0.6415 -0.7462 +vn -0.8205 0.3405 -0.4592 +vn -0.5651 -0.5668 0.5995 +vn -0.9815 -0.1628 0.1004 +vn 0.1796 -0.6388 0.7481 +vn 0.8191 -0.3394 0.4625 +vn 0.9831 0.1581 -0.0920 +vn 0.5726 0.5651 -0.5940 +vn -0.1761 0.6408 -0.7472 +vn -0.8216 0.3385 -0.4588 +vn -0.0308 0.7270 0.6860 +vn -0.0374 0.7365 0.6754 +vn -0.3417 0.9398 0.0019 +vn -0.3358 0.9417 0.0214 +vn 0.2888 0.1003 0.9521 +vn 0.2888 0.1026 0.9519 +vn 0.4457 -0.5816 0.6805 +vn 0.4467 -0.5907 0.6720 +vn 0.3494 -0.9368 0.0168 +vn 0.3438 -0.9390 -0.0025 +vn 0.0466 -0.7453 -0.6650 +vn 0.0397 -0.7357 -0.6761 +vn -0.2862 -0.1041 -0.9525 +vn -0.2863 -0.1017 -0.9527 +vn -0.4453 0.6010 -0.6637 +vn -0.4444 0.5916 -0.6727 +vn -0.1143 0.7271 0.6769 +vn -0.3345 0.9419 -0.0293 +vn 0.1799 0.0674 0.9814 +vn 0.3640 -0.6352 0.6812 +vn 0.3265 -0.9448 -0.0280 +vn 0.1008 -0.6979 -0.7091 +vn -0.1783 -0.0601 -0.9821 +vn -0.3569 0.6104 -0.7071 +vn -0.2779 0.6796 0.6789 +vn -0.2969 0.9540 -0.0409 +vn -0.0865 -0.0198 0.9961 +vn 0.1607 -0.7089 0.6867 +vn 0.3057 -0.9514 -0.0372 +vn 0.2705 -0.6363 -0.7225 +vn 0.0859 0.0287 -0.9959 +vn -0.1451 0.6770 -0.7215 +vn -0.4387 0.6253 0.6454 +vn -0.2608 0.9651 -0.0226 +vn -0.3520 -0.1006 0.9306 +vn -0.0466 -0.7657 0.6415 +vn 0.2836 -0.9584 -0.0326 +vn 0.4425 -0.5894 -0.6759 +vn 0.3505 0.1071 -0.9304 +vn 0.0641 0.7430 -0.6662 +vn -0.5057 0.5877 0.6315 +vn -0.2603 0.9655 0.0116 +vn -0.4544 -0.1326 0.8809 +vn -0.1376 -0.7750 0.6168 +vn 0.2610 -0.9653 -0.0087 +vn 0.5070 -0.5886 -0.6296 +vn 0.4558 0.1327 -0.8802 +vn 0.1384 0.7762 -0.6151 +vn -0.5047 0.5779 0.6414 +vn -0.2686 0.9629 0.0272 +vn -0.4493 -0.1332 0.8834 +vn -0.1395 -0.7677 0.6255 +vn 0.2535 -0.9673 0.0072 +vn 0.5028 -0.6003 -0.6220 +vn 0.4529 0.1298 -0.8821 +vn 0.1298 0.7822 -0.6093 +vn 0.4173 -0.5648 0.7120 +vn 0.4213 -0.5691 0.7061 +vn 0.6451 -0.7641 0.0004 +vn 0.6447 -0.7644 0.0093 +vn -0.0515 -0.0389 0.9979 +vn -0.0497 -0.0412 0.9979 +vn -0.4901 0.5080 0.7083 +vn -0.4920 0.5103 0.7054 +vn -0.6471 0.7624 0.0084 +vn -0.6467 0.7627 -0.0005 +vn -0.4270 0.5721 -0.7003 +vn -0.4229 0.5677 -0.7062 +vn 0.0463 0.0421 -0.9980 +vn 0.0480 0.0398 -0.9981 +vn 0.4922 -0.5141 -0.7024 +vn 0.4903 -0.5117 -0.7055 +vn 0.4454 -0.5599 0.6986 +vn 0.6323 -0.7746 -0.0121 +vn -0.0076 -0.0118 0.9999 +vn -0.4579 0.5447 0.7026 +vn -0.6337 0.7735 -0.0129 +vn -0.4364 0.5459 -0.7152 +vn 0.0111 0.0041 -0.9999 +vn 0.4510 -0.5394 -0.7110 +vn 0.4986 -0.5126 0.6991 +vn 0.6289 -0.7773 -0.0135 +vn 0.0686 0.0601 0.9958 +vn -0.4018 0.5949 0.6962 +vn -0.6323 0.7747 -0.0121 +vn -0.4947 0.5034 -0.7085 +vn -0.0742 -0.0560 -0.9957 +vn 0.3889 -0.5844 -0.7122 +vn 0.5565 -0.4696 0.6854 +vn 0.6286 -0.7777 -0.0126 +vn 0.1520 0.1197 0.9811 +vn -0.3449 0.6372 0.6892 +vn -0.6345 0.7729 -0.0108 +vn -0.5508 0.4546 -0.6999 +vn -0.1498 -0.1256 -0.9807 +vn 0.3354 -0.6329 -0.6978 +vn 0.5438 -0.4925 0.6796 +vn 0.5271 -0.8496 0.0206 +vn 0.2461 0.1544 0.9569 +vn -0.2070 0.7198 0.6626 +vn -0.5358 0.8432 -0.0436 +vn -0.5339 0.4496 -0.7161 +vn -0.2182 -0.2029 -0.9546 +vn 0.2163 -0.7316 -0.6466 +vn 0.4145 -0.5457 0.7283 +vn 0.2969 -0.9482 0.1133 +vn 0.2983 0.1711 0.9390 +vn 0.0026 0.8013 0.5982 +vn -0.3007 0.9463 -0.1192 +vn -0.4157 0.4980 -0.7610 +vn -0.2778 -0.2420 -0.9297 +vn 0.0155 -0.8269 -0.5621 +vn 0.2735 -0.5626 0.7801 +vn 0.0457 -0.9788 0.1997 +vn 0.3466 0.1837 0.9199 +vn 0.2130 0.8341 0.5088 +vn -0.0543 0.9738 -0.2207 +vn -0.2871 0.5156 -0.8073 +vn -0.3463 -0.2384 -0.9073 +vn -0.2077 -0.8468 -0.4897 +vn 0.3191 -0.5608 0.7640 +vn -0.0477 -0.9744 0.2196 +vn 0.4941 0.2027 0.8454 +vn 0.3642 0.8380 0.4063 +vn 0.0183 0.9636 -0.2666 +vn -0.3335 0.5354 -0.7760 +vn -0.4963 -0.1902 -0.8470 +vn -0.3815 -0.8112 -0.4432 +vn 0.5146 -0.5895 0.6227 +vn 0.0121 -0.9859 0.1669 +vn 0.6984 0.1804 0.6925 +vn 0.4481 0.8292 0.3341 +vn -0.0614 0.9751 -0.2132 +vn -0.5283 0.5683 -0.6308 +vn -0.7011 -0.1496 -0.6972 +vn -0.4863 -0.7884 -0.3768 +vn 0.6617 -0.6128 0.4320 +vn 0.0652 -0.9914 0.1132 +vn 0.8591 0.1466 0.4903 +vn 0.5260 0.8139 0.2467 +vn -0.1164 0.9832 -0.1407 +vn -0.6809 0.5851 -0.4404 +vn -0.8604 -0.1369 -0.4910 +vn -0.5595 -0.7848 -0.2666 +vn 0.7156 -0.6032 0.3523 +vn 0.0999 -0.9888 0.1108 +vn 0.9119 0.1336 0.3880 +vn 0.5760 0.7931 0.1979 +vn -0.0986 0.9892 -0.1083 +vn -0.7154 0.6043 -0.3506 +vn -0.9124 -0.1339 -0.3867 +vn -0.5754 -0.7941 -0.1958 +vn 0.7195 -0.5951 0.3581 +vn 0.1152 -0.9863 0.1183 +vn 0.9101 0.1312 0.3931 +vn 0.5847 0.7848 0.2056 +vn -0.0824 0.9914 -0.1020 +vn -0.7080 0.6125 -0.3515 +vn -0.9105 -0.1371 -0.3900 +vn -0.5639 -0.8030 -0.1928 +vn 0.6520 -0.2421 0.7185 +vn 0.6642 -0.2441 0.7066 +vn 0.9686 -0.2484 0.0039 +vn 0.9684 -0.2490 0.0140 +vn -0.0440 -0.0936 0.9946 +vn -0.0305 -0.0974 0.9948 +vn -0.7084 0.1067 0.6977 +vn -0.7065 0.1054 0.6998 +vn -0.9694 0.2453 0.0055 +vn -0.9693 0.2458 -0.0041 +vn -0.6768 0.2436 -0.6947 +vn -0.6649 0.2417 -0.7068 +vn 0.0157 0.0987 -0.9950 +vn 0.0297 0.0949 -0.9950 +vn 0.7038 -0.1068 -0.7023 +vn 0.7058 -0.1081 -0.7001 +vn 0.6748 -0.2661 0.6884 +vn 0.9448 -0.3274 -0.0148 +vn 0.0061 -0.0495 0.9988 +vn -0.6752 0.1985 0.7105 +vn -0.9455 0.3253 -0.0133 +vn -0.6430 0.2539 -0.7226 +vn 0.0310 0.0335 -0.9990 +vn 0.6797 -0.2043 -0.7044 +vn 0.6593 -0.3127 0.6838 +vn 0.8625 -0.5059 -0.0138 +vn 0.0677 0.0658 0.9955 +vn -0.5766 0.4106 0.7063 +vn -0.8652 0.5008 -0.0239 +vn -0.6225 0.2836 -0.7294 +vn -0.0216 -0.0954 -0.9952 +vn 0.5831 -0.4162 -0.6977 +vn 0.6267 -0.3485 0.6969 +vn 0.7467 -0.6648 0.0217 +vn 0.1386 0.1760 0.9746 +vn -0.4398 0.6011 0.6673 +vn -0.7511 0.6583 -0.0497 +vn -0.6059 0.3167 -0.7298 +vn -0.1083 -0.2051 -0.9727 +vn 0.4449 -0.6048 -0.6605 +vn 0.6033 -0.3456 0.7187 +vn 0.6920 -0.7197 0.0560 +vn 0.1602 0.2310 0.9597 +vn -0.3762 0.6711 0.6388 +vn -0.6932 0.7187 -0.0544 +vn -0.6057 0.3454 -0.7169 +vn -0.1628 -0.2314 -0.9591 +vn 0.3747 -0.6722 -0.6386 +vn 0.5981 -0.3351 0.7280 +vn 0.6955 -0.7157 0.0637 +vn 0.1500 0.2381 0.9596 +vn -0.3809 0.6690 0.6382 +vn -0.6945 0.7181 -0.0454 +vn -0.6117 0.3547 -0.7071 +vn -0.1702 -0.2208 -0.9603 +vn 0.3754 -0.6690 -0.6415 +vn 0.6656 0.2257 0.7113 +vn 0.6713 0.2269 0.7056 +vn 0.9635 0.2678 -0.0010 +vn 0.9633 0.2683 0.0077 +vn -0.0168 0.0518 0.9985 +vn -0.0138 0.0524 0.9985 +vn -0.6880 -0.1524 0.7096 +vn -0.6905 -0.1534 0.7068 +vn -0.9629 -0.2697 0.0097 +vn -0.9628 -0.2702 0.0011 +vn -0.6764 -0.2306 -0.6995 +vn -0.6707 -0.2294 -0.7054 +vn 0.0115 -0.0556 -0.9984 +vn 0.0145 -0.0549 -0.9984 +vn 0.6938 0.1520 -0.7039 +vn 0.6912 0.1509 -0.7067 +vn 0.6741 0.2499 0.6951 +vn 0.9684 0.2493 -0.0119 +vn -0.0224 0.1010 0.9946 +vn -0.7066 -0.1095 0.6991 +vn -0.9670 -0.2545 -0.0117 +vn -0.6572 -0.2499 -0.7111 +vn 0.0314 -0.1016 -0.9943 +vn 0.7001 0.1036 -0.7065 +vn 0.6798 0.2670 0.6830 +vn 0.9879 0.1551 0.0008 +vn -0.0321 0.2231 0.9743 +vn -0.7343 0.0423 0.6775 +vn -0.9856 -0.1653 -0.0358 +vn -0.6409 -0.2714 -0.7180 +vn 0.0699 -0.2192 -0.9732 +vn 0.7354 -0.0442 -0.6762 +vn 0.6702 0.2801 0.6873 +vn 0.9978 0.0562 0.0349 +vn -0.0594 0.3392 0.9388 +vn -0.7548 0.1928 0.6269 +vn -0.9961 -0.0686 -0.0563 +vn -0.6507 -0.2884 -0.7025 +vn 0.0715 -0.3407 -0.9375 +vn 0.7491 -0.1984 -0.6320 +vn 0.6192 0.4029 0.6740 +vn 0.9799 0.1996 -0.0024 +vn -0.1076 0.3556 0.9284 +vn -0.7547 0.1044 0.6477 +vn -0.9793 -0.2017 0.0150 +vn -0.6684 -0.3990 -0.6277 +vn 0.0256 -0.3754 -0.9265 +vn 0.7221 -0.1301 -0.6794 +vn 0.5206 0.5973 0.6101 +vn 0.8234 0.5522 -0.1308 +vn -0.0860 0.2791 0.9564 +vn -0.6266 -0.1870 0.7566 +vn -0.8230 -0.5475 0.1515 +vn -0.5776 -0.6154 -0.5362 +vn -0.0058 -0.3430 -0.9393 +vn 0.5911 0.1449 -0.7934 +vn 0.3638 0.7530 0.5483 +vn 0.5298 0.8178 -0.2248 +vn -0.0199 0.2340 0.9720 +vn -0.3836 -0.4054 0.8298 +vn -0.5314 -0.8143 0.2336 +vn -0.3884 -0.7792 -0.4919 +vn -0.0238 -0.3040 -0.9524 +vn 0.3628 0.3649 -0.8575 +vn 0.2845 0.8154 0.5041 +vn 0.3816 0.8902 -0.2490 +vn 0.0203 0.2616 0.9649 +vn -0.2560 -0.4461 0.8576 +vn -0.3809 -0.8905 0.2487 +vn -0.2825 -0.8150 -0.5060 +vn -0.0172 -0.2597 -0.9655 +vn 0.2577 0.4472 -0.8565 +vn 0.2937 0.8216 0.4886 +vn 0.3889 0.8865 -0.2507 +vn 0.0295 0.2838 0.9584 +vn -0.2549 -0.4314 0.8654 +vn -0.3854 -0.8895 0.2455 +vn -0.2802 -0.8047 -0.5234 +vn -0.0068 -0.2383 -0.9712 +vn 0.2674 0.4567 -0.8485 +vn 0.7046 0.5505 0.4478 +vn 1.0000 0.0039 0.0009 +vn -0.0036 0.7742 0.6329 +vn -0.7096 0.5440 0.4478 +vn -1.0000 -0.0054 0.0009 +vn -1.0000 -0.0054 0.0010 +vn -0.7045 -0.5521 -0.4459 +vn -0.7046 -0.5521 -0.4459 +vn 0.0036 -0.7758 -0.6310 +vn 0.7096 -0.5455 -0.4459 +vn 0.7045 0.5506 0.4477 +vn -0.0036 0.7743 0.6328 +vn -0.7096 0.5440 0.4477 +vn -0.7046 -0.5520 -0.4459 +vn 0.7097 -0.5455 -0.4459 +vn 1.0000 0.0040 0.0009 +vn -0.7096 0.5441 0.4477 +vn -1.0000 -0.0053 0.0009 +vn -0.7045 -0.5520 -0.4460 +vn 0.0036 -0.7757 -0.6311 +vn 0.7097 -0.5454 -0.4460 +vn 0.6776 -0.3348 0.6548 +vn 0.9951 -0.0988 -0.0004 +vn -0.0369 -0.3753 0.9262 +vn -0.7298 -0.1966 0.6548 +vn -0.7298 -0.1965 0.6548 +vn -0.9953 0.0967 -0.0004 +vn -0.6779 0.3327 -0.6556 +vn -0.6778 0.3327 -0.6556 +vn 0.0366 0.3732 -0.9270 +vn 0.7296 0.1944 -0.6556 +vn 0.6776 -0.3347 0.6548 +vn -0.0369 -0.3752 0.9262 +vn -0.9953 0.0968 -0.0004 +vn 0.0367 0.3732 -0.9270 +vn 0.7296 0.1945 -0.6556 +vn 0.9951 -0.0987 -0.0004 +vn -0.0368 -0.3752 0.9262 +vn -0.7298 -0.1964 0.6548 +vn -0.6778 0.3328 -0.6556 +vn 0.0367 0.3733 -0.9270 +vn 0.7296 0.1946 -0.6556 +vn -0.4385 0.5513 0.7098 +vn -0.4402 0.5534 0.7071 +vn -0.6222 0.7829 -0.0001 +vn -0.6222 0.7828 0.0040 +vn 0.0010 -0.0009 1.0000 +vn 0.0002 0.0002 1.0000 +vn 0.4402 -0.5516 0.7085 +vn 0.4411 -0.5526 0.7072 +vn 0.6241 -0.7813 0.0041 +vn 0.6242 -0.7813 0.0001 +vn 0.4438 -0.5540 -0.7043 +vn 0.4421 -0.5519 -0.7071 +vn 0.0026 0.0002 -1.0000 +vn 0.0017 0.0013 -1.0000 +vn -0.4400 0.5552 -0.7058 +vn -0.4391 0.5542 -0.7072 +vn -0.4511 0.5497 0.7031 +vn -0.6159 0.7878 -0.0057 +vn -0.0192 -0.0127 0.9997 +vn 0.4250 -0.5677 0.7050 +vn 0.6180 -0.7861 -0.0056 +vn 0.4484 -0.5421 -0.7106 +vn 0.0188 0.0173 -0.9997 +vn -0.4206 0.5664 -0.7087 +vn -0.4699 0.5424 0.6964 +vn -0.5834 0.8121 -0.0081 +vn -0.0777 -0.0491 0.9958 +vn 0.3636 -0.6139 0.7007 +vn 0.5869 -0.8095 -0.0138 +vn 0.4621 -0.5247 -0.7149 +vn 0.0705 0.0630 -0.9955 +vn -0.3596 0.6127 -0.7038 +vn -0.4834 0.5271 0.6989 +vn -0.5483 0.8363 0.0016 +vn -0.1323 -0.0939 0.9868 +vn 0.2982 -0.6593 0.6903 +vn 0.5522 -0.8336 -0.0136 +vn 0.4817 -0.5174 -0.7073 +vn 0.1314 0.0996 -0.9863 +vn -0.2934 0.6581 -0.6934 +vn -0.4962 0.4961 0.7125 +vn -0.5955 0.8033 0.0096 +vn -0.1053 -0.0979 0.9896 +vn 0.3427 -0.6289 0.6979 +vn 0.5962 -0.8028 0.0125 +vn 0.5115 -0.5186 -0.6851 +vn 0.1274 0.0737 -0.9891 +vn -0.3351 0.6278 -0.7026 +vn -0.5152 0.4570 0.7251 +vn -0.7474 0.6642 0.0109 +vn 0.0110 -0.0099 0.9999 +vn 0.5241 -0.4643 0.7140 +vn 0.7485 -0.6621 0.0365 +vn 0.5590 -0.4929 -0.6667 +vn 0.0417 -0.0337 -0.9986 +vn -0.5143 0.4588 -0.7245 +vn -0.5526 0.4331 0.7121 +vn -0.8683 0.4959 0.0075 +vn 0.0867 0.1162 0.9894 +vn 0.6677 -0.2618 0.6968 +vn 0.8713 -0.4905 0.0139 +vn 0.5803 -0.4412 -0.6845 +vn -0.0559 -0.1307 -0.9898 +vn -0.6616 0.2609 -0.7031 +vn -0.5776 0.4768 0.6626 +vn -0.8173 0.5751 -0.0363 +vn 0.0058 0.1008 0.9949 +vn 0.6022 -0.3440 0.7204 +vn 0.8192 -0.5733 -0.0141 +vn 0.5238 -0.4412 -0.7287 +vn -0.0687 -0.0509 -0.9963 +vn -0.6093 0.3602 -0.7064 +vn -0.4903 0.5737 0.6561 +vn -0.5226 0.8523 -0.0230 +vn -0.1768 -0.0408 0.9834 +vn 0.2637 -0.6580 0.7054 +vn 0.5349 -0.8434 -0.0494 +vn 0.4560 -0.4836 -0.7471 +vn 0.1176 0.1406 -0.9831 +vn -0.2766 0.6759 -0.6831 +vn -0.3727 0.6028 0.7055 +vn -0.1597 0.9820 0.1005 +vn -0.3761 -0.1368 0.9164 +vn -0.1493 -0.8111 0.5655 +vn 0.1761 -0.9733 -0.1471 +vn 0.3868 -0.5270 -0.7567 +vn 0.3626 0.2155 -0.9067 +vn 0.1379 0.8228 -0.5514 +vn -0.3409 0.5665 0.7503 +vn -0.0220 0.9816 0.1895 +vn -0.4593 -0.1834 0.8692 +vn -0.3084 -0.8218 0.4790 +vn 0.0218 -0.9820 -0.1876 +vn 0.3416 -0.5693 -0.7479 +vn 0.4607 0.1805 -0.8690 +vn 0.3090 0.8214 -0.4794 +vn -0.3500 0.5441 0.7625 +vn -0.0329 0.9791 0.2008 +vn -0.4545 -0.2053 0.8668 +vn -0.2987 -0.8256 0.4788 +vn 0.0224 -0.9848 -0.1725 +vn 0.3353 -0.5906 -0.7340 +vn 0.4586 0.1570 -0.8746 +vn 0.3068 0.8180 -0.4866 +vn 0.6400 0.3330 0.6925 +vn 0.6462 0.3334 0.6865 +vn 0.9646 0.2636 -0.0061 +vn 0.9643 0.2648 -0.0008 +vn -0.0572 0.2054 0.9770 +vn -0.0507 0.2071 0.9770 +vn -0.7181 -0.0413 0.6947 +vn -0.7175 -0.0412 0.6953 +vn -0.9643 -0.2647 0.0120 +vn -0.9640 -0.2660 0.0067 +vn -0.6518 -0.3360 -0.6799 +vn -0.6456 -0.3357 -0.6859 +vn 0.0448 -0.2112 -0.9764 +vn 0.0514 -0.2095 -0.9765 +vn 0.7176 0.0386 -0.6954 +vn 0.7182 0.0387 -0.6948 +vn 0.6563 0.3283 0.6793 +vn 0.9744 0.2249 -0.0046 +vn -0.0491 0.2388 0.9698 +vn -0.7286 0.0058 0.6849 +vn -0.9728 -0.2313 -0.0095 +vn -0.6381 -0.3309 -0.6952 +vn 0.0681 -0.2371 -0.9691 +vn 0.7310 -0.0080 -0.6823 +vn 0.6696 0.3035 0.6779 +vn 0.9943 0.1036 0.0263 +vn -0.0507 0.3284 0.9432 +vn -0.7509 0.1543 0.6421 +vn -0.9918 -0.1158 -0.0545 +vn -0.6304 -0.3136 -0.7101 +vn 0.0931 -0.3259 -0.9408 +vn 0.7566 -0.1539 -0.6355 +vn 0.6615 0.2813 0.6952 +vn 0.9966 -0.0168 0.0805 +vn -0.0656 0.4159 0.9070 +vn -0.7569 0.3023 0.5794 +vn -0.9955 0.0073 -0.0945 +vn -0.6412 -0.2918 -0.7097 +vn 0.0867 -0.4185 -0.9041 +vn 0.7588 -0.3040 -0.5760 +vn 0.6282 0.3159 0.7111 +vn 0.9956 0.0534 0.0769 +vn -0.1017 0.3863 0.9168 +vn -0.7631 0.2362 0.6016 +vn -0.9979 -0.0451 -0.0464 +vn -0.6737 -0.3042 -0.6735 +vn 0.0484 -0.3920 -0.9187 +vn 0.7531 -0.2453 -0.6105 +vn 0.6083 0.3769 0.6985 +vn 0.9541 0.2995 0.0012 +vn -0.0836 0.2313 0.9693 +vn -0.7169 -0.0411 0.6959 +vn -0.9558 -0.2906 0.0435 +vn -0.6680 -0.3822 -0.6386 +vn 0.0127 -0.2555 -0.9667 +vn 0.7041 0.0309 -0.7095 +vn 0.5908 0.4367 0.6783 +vn 0.8463 0.5303 -0.0509 +vn -0.0074 0.0888 0.9960 +vn -0.5926 -0.3044 0.7457 +vn -0.8456 -0.5274 0.0819 +vn -0.6250 -0.4563 -0.6334 +vn -0.0369 -0.1182 -0.9923 +vn 0.5831 0.2974 -0.7560 +vn 0.5921 0.4719 0.6532 +vn 0.7859 0.6140 -0.0733 +vn 0.0504 0.0521 0.9974 +vn -0.5199 -0.3980 0.7559 +vn -0.7849 -0.6154 0.0722 +vn -0.5896 -0.4728 -0.6549 +vn -0.0476 -0.0526 -0.9975 +vn 0.5212 0.3970 -0.7555 +vn 0.6019 0.4776 0.6400 +vn 0.7884 0.6097 -0.0820 +vn 0.0617 0.0637 0.9961 +vn -0.5194 -0.3927 0.7590 +vn -0.7875 -0.6131 0.0627 +vn -0.5808 -0.4649 -0.6682 +vn -0.0338 -0.0453 -0.9984 +vn 0.5271 0.3948 -0.7525 +vn -0.6874 0.1660 0.7071 +vn -0.9695 0.2451 0.0000 +vn -0.0024 -0.0098 0.9999 +vn 0.6841 -0.1792 0.7070 +vn 0.6841 -0.1792 0.7071 +vn 0.9700 -0.2431 0.0000 +vn 0.6879 -0.1639 -0.7070 +vn 0.0030 0.0119 -0.9999 +vn -0.6836 0.1813 -0.7070 +vn -0.6835 0.1813 -0.7070 +vn -0.6874 0.1659 0.7071 +vn -0.0025 -0.0099 0.9999 +vn 0.6840 -0.1793 0.7071 +vn 0.6879 -0.1640 -0.7070 +vn 0.0030 0.0118 -0.9999 +vn -0.6874 0.1658 0.7070 +vn -0.9695 0.2450 -0.0000 +vn 0.6840 -0.1794 0.7071 +vn 0.9700 -0.2432 -0.0000 +vn -0.6835 0.1812 -0.7071 +vn -0.4664 -0.7543 0.4620 +vn -0.4770 -0.7513 0.4561 +vn -0.9335 -0.3581 -0.0169 +vn -0.9303 -0.3668 -0.0089 +vn 0.2638 -0.7016 0.6620 +vn 0.2586 -0.7034 0.6621 +vn 0.8401 -0.2471 0.4829 +vn 0.8422 -0.2435 0.4811 +vn 0.9360 0.3510 0.0267 +vn 0.9329 0.3597 0.0188 +vn 0.4871 0.7496 -0.4481 +vn 0.4764 0.7528 -0.4542 +vn -0.2538 0.7069 -0.6602 +vn -0.2592 0.7050 -0.6601 +vn -0.8450 0.2414 -0.4772 +vn -0.8428 0.2452 -0.4791 +vn -0.4866 -0.7618 0.4277 +vn -0.9454 -0.3259 -0.0020 +vn 0.2668 -0.7476 0.6083 +vn 0.8616 -0.2810 0.4226 +vn 0.9354 0.3531 -0.0163 +vn 0.4557 0.7735 -0.4405 +vn -0.2822 0.7443 -0.6053 +vn -0.8563 0.2932 -0.4252 +vn -0.4946 -0.7816 0.3801 +vn -0.9615 -0.2592 0.0910 +vn 0.2769 -0.8493 0.4495 +vn 0.8885 -0.3903 0.2415 +vn 0.9440 0.3093 -0.1150 +vn 0.4341 0.8098 -0.3947 +vn -0.3141 0.8394 -0.4436 +vn -0.8821 0.4024 -0.2449 +vn -0.4833 -0.8075 0.3381 +vn -0.9538 -0.2195 0.2053 +vn 0.2817 -0.9204 0.2713 +vn 0.8786 -0.4759 0.0410 +vn 0.9438 0.2534 -0.2122 +vn 0.4500 0.8268 -0.3375 +vn -0.2986 0.9166 -0.2657 +vn -0.8724 0.4868 -0.0431 +vn -0.4423 -0.8473 0.2939 +vn -0.9500 -0.2763 0.1451 +vn 0.3142 -0.9103 0.2696 +vn 0.8826 -0.4604 0.0953 +vn 0.9610 0.2434 -0.1308 +vn 0.4996 0.8180 -0.2851 +vn -0.2621 0.9253 -0.2739 +vn -0.8766 0.4720 -0.0941 +vn -0.4257 -0.8659 0.2627 +vn -0.9199 -0.3807 -0.0945 +vn 0.3005 -0.8364 0.4584 +vn 0.8494 -0.3457 0.3988 +vn 0.9353 0.3318 0.1232 +vn 0.5053 0.8337 -0.2229 +vn -0.2303 0.8640 -0.4478 +vn -0.8441 0.3573 -0.3998 +vn -0.4221 -0.8787 0.2229 +vn -0.8181 -0.4805 -0.3161 +vn 0.2137 -0.7548 0.6202 +vn 0.7195 -0.2079 0.6627 +vn 0.8249 0.4528 0.3385 +vn 0.4673 0.8658 -0.1789 +vn -0.1693 0.7807 -0.6016 +vn -0.7134 0.2190 -0.6657 +vn -0.4321 -0.8832 0.1824 +vn -0.7591 -0.5122 -0.4019 +vn 0.1492 -0.7357 0.6607 +vn 0.6416 -0.1567 0.7508 +vn 0.7578 0.5139 0.4021 +vn 0.4292 0.8845 -0.1828 +vn -0.1520 0.7355 -0.6602 +vn -0.6428 0.1569 -0.7498 +vn -0.4448 -0.8795 0.1691 +vn -0.7637 -0.5025 -0.4054 +vn 0.1381 -0.7451 0.6525 +vn 0.6425 -0.1620 0.7490 +vn 0.7583 0.5205 0.3925 +vn 0.4173 0.8870 -0.1976 +vn -0.1658 0.7288 -0.6643 +vn -0.6481 0.1563 -0.7454 +vn 0.2240 -0.6751 0.7029 +vn 0.2284 -0.6804 0.6963 +vn 0.4905 -0.8714 0.0027 +vn 0.4890 -0.8722 0.0117 +vn -0.1701 -0.0873 0.9815 +vn -0.1682 -0.0912 0.9815 +vn -0.4658 0.5487 0.6942 +vn -0.4667 0.5509 0.6919 +vn -0.4941 0.8694 0.0059 +vn -0.4927 0.8702 -0.0031 +vn -0.2350 0.6846 -0.6900 +vn -0.2306 0.6792 -0.6968 +vn 0.1639 0.0939 -0.9820 +vn 0.1659 0.0899 -0.9820 +vn 0.4654 -0.5544 -0.6900 +vn 0.4645 -0.5522 -0.6924 +vn 0.2509 -0.6791 0.6899 +vn 0.4701 -0.8825 -0.0138 +vn -0.1196 -0.0719 0.9902 +vn -0.4203 0.5804 0.6975 +vn -0.4692 0.8830 -0.0120 +vn -0.2418 0.6624 -0.7091 +vn 0.1230 0.0597 -0.9906 +vn 0.4155 -0.5753 -0.7045 +vn 0.2915 -0.6627 0.6898 +vn 0.4156 -0.9093 -0.0225 +vn -0.0081 -0.0195 0.9998 +vn -0.3050 0.6389 0.7062 +vn -0.4173 0.9087 -0.0122 +vn -0.2826 0.6387 -0.7156 +vn 0.0129 0.0034 -0.9999 +vn 0.2993 -0.6315 -0.7152 +vn 0.3310 -0.6427 0.6909 +vn 0.3585 -0.9334 -0.0156 +vn 0.1066 0.0314 0.9938 +vn -0.1835 0.6890 0.7011 +vn -0.3634 0.9316 -0.0107 +vn -0.3281 0.6227 -0.7104 +vn -0.1038 -0.0441 -0.9936 +vn 0.1784 -0.6835 -0.7078 +vn 0.3463 -0.6259 0.6988 +vn 0.3364 -0.9417 0.0013 +vn 0.1528 0.0561 0.9867 +vn -0.1307 0.7047 0.6974 +vn -0.3385 0.9410 0.0000 +vn -0.3487 0.6258 -0.6977 +vn -0.1551 -0.0564 -0.9863 +vn 0.1287 -0.7057 -0.6968 +vn 0.3445 -0.6203 0.7047 +vn 0.3386 -0.9409 0.0091 +vn 0.1495 0.0589 0.9870 +vn -0.1319 0.7021 0.6998 +vn -0.3382 0.9410 0.0080 +vn -0.3491 0.6320 -0.6919 +vn -0.1545 -0.0521 -0.9866 +vn 0.1317 -0.7068 -0.6950 +vn -0.6847 0.2054 0.6993 +vn -0.9048 0.4258 0.0001 +vn -0.0633 -0.1348 0.9889 +vn 0.5954 -0.3956 0.6993 +vn 0.9056 -0.4241 0.0002 +vn 0.9056 -0.4241 0.0001 +vn 0.6855 -0.2037 -0.6990 +vn 0.6855 -0.2038 -0.6990 +vn 0.0640 0.1365 -0.9886 +vn 0.0641 0.1365 -0.9886 +vn -0.5947 0.3973 -0.6990 +vn -0.0633 -0.1348 0.9888 +vn 0.9056 -0.4242 0.0001 +vn 0.0641 0.1364 -0.9886 +vn -0.5947 0.3972 -0.6990 +vn -0.6847 0.2053 0.6993 +vn -0.9049 0.4257 0.0001 +vn -0.0633 -0.1349 0.9888 +vn 0.5954 -0.3957 0.6993 +vn 0.9055 -0.4243 0.0001 +vn 0.0640 0.1364 -0.9886 +vn -0.7740 0.3997 0.4911 +vn -0.7727 0.4080 0.4863 +vn -0.4492 0.8934 -0.0098 +vn -0.4558 0.8901 -0.0027 +vn -0.6414 -0.3191 0.6977 +vn -0.6428 -0.3160 0.6978 +vn -0.1401 -0.8527 0.5033 +vn -0.1363 -0.8545 0.5012 +vn 0.4441 -0.8958 0.0185 +vn 0.4506 -0.8926 0.0115 +vn 0.7727 -0.4156 -0.4797 +vn 0.7742 -0.4073 -0.4846 +vn 0.6459 0.3135 -0.6961 +vn 0.6444 0.3167 -0.6960 +vn 0.1341 0.8572 -0.4973 +vn 0.1379 0.8553 -0.4995 +vn -0.7866 0.4117 0.4601 +vn -0.4272 0.9041 -0.0041 +vn -0.6802 -0.3291 0.6550 +vn -0.1645 -0.8739 0.4574 +vn 0.4481 -0.8939 -0.0125 +vn 0.7927 -0.3874 -0.4706 +vn 0.6778 0.3388 -0.6526 +vn 0.1768 0.8695 -0.4612 +vn -0.8209 0.4089 0.3987 +vn -0.3813 0.9233 0.0459 +vn -0.7752 -0.3600 0.5191 +vn -0.2503 -0.9135 0.3207 +vn 0.4237 -0.9030 -0.0718 +vn 0.8360 -0.3596 -0.4144 +vn 0.7672 0.3812 -0.5159 +vn 0.2697 0.9054 -0.3278 +vn -0.8560 0.3896 0.3398 +vn -0.3571 0.9269 0.1153 +vn -0.8483 -0.3843 0.3642 +vn -0.3302 -0.9284 0.1703 +vn 0.3842 -0.9148 -0.1243 +vn 0.8668 -0.3620 -0.3429 +vn 0.8450 0.3946 -0.3608 +vn 0.3430 0.9233 -0.1729 +vn -0.8696 0.3509 0.3473 +vn -0.4052 0.9092 0.0960 +vn -0.8265 -0.3997 0.3964 +vn -0.3211 -0.9202 0.2240 +vn 0.3663 -0.9276 -0.0739 +vn 0.8533 -0.4015 -0.3327 +vn 0.8394 0.3729 -0.3953 +vn 0.3115 0.9255 -0.2155 +vn -0.8368 0.3537 0.4180 +vn -0.4875 0.8728 -0.0247 +vn -0.7048 -0.3536 0.6150 +vn -0.1871 -0.8607 0.4735 +vn 0.4352 -0.8974 0.0724 +vn 0.8222 -0.4275 -0.3758 +vn 0.7277 0.3120 -0.6108 +vn 0.1719 0.8691 -0.4639 +vn -0.7925 0.3974 0.4626 +vn -0.5639 0.8136 -0.1417 +vn -0.5621 -0.2406 0.7913 +vn -0.0187 -0.7380 0.6745 +vn 0.5374 -0.8238 0.1803 +vn 0.7928 -0.4375 -0.4244 +vn 0.5790 0.2161 -0.7862 +vn 0.0089 0.7433 -0.6689 +vn -0.7720 0.4444 0.4544 +vn -0.5595 0.8090 -0.1800 +vn -0.5325 -0.1831 0.8264 +vn 0.0247 -0.7041 0.7097 +vn 0.5685 -0.8051 0.1693 +vn 0.7728 -0.4263 -0.4702 +vn 0.5227 0.1997 -0.8288 +vn -0.0262 0.7067 -0.7071 +vn -0.7638 0.4588 0.4541 +vn -0.4859 0.8655 -0.1219 +vn -0.5962 -0.2226 0.7713 +vn -0.0655 -0.7771 0.6260 +vn 0.5058 -0.8569 0.0988 +vn 0.7682 -0.4222 -0.4813 +vn 0.5811 0.2524 -0.7737 +vn 0.0659 0.7786 -0.6241 +vn -0.7567 0.4543 0.4701 +vn -0.4226 0.9052 -0.0442 +vn -0.6494 -0.2655 0.7126 +vn -0.1557 -0.8312 0.5337 +vn 0.4322 -0.9011 0.0364 +vn 0.7616 -0.4350 -0.4804 +vn 0.6427 0.2830 -0.7120 +vn 0.1537 0.8336 -0.5305 +vn -0.7534 0.4473 0.4820 +vn -0.4035 0.9149 -0.0132 +vn -0.6613 -0.2821 0.6951 +vn -0.1816 -0.8458 0.5016 +vn 0.4046 -0.9143 0.0152 +vn 0.7547 -0.4474 -0.4799 +vn 0.6630 0.2821 -0.6934 +vn 0.1832 0.8464 -0.5001 +vn -0.7548 0.4415 0.4850 +vn -0.4071 0.9133 -0.0116 +vn -0.6584 -0.2868 0.6959 +vn -0.1796 -0.8458 0.5023 +vn 0.4031 -0.9150 0.0189 +vn 0.7536 -0.4529 -0.4763 +vn 0.6646 0.2766 -0.6941 +vn 0.1830 0.8453 -0.5019 +vn -0.4055 -0.8771 0.2575 +vn -0.9261 -0.3773 0.0025 +vn 0.3524 -0.8626 0.3631 +vn 0.9036 -0.3423 0.2575 +vn 0.9036 -0.3422 0.2575 +vn 0.9254 0.3791 0.0025 +vn 0.4048 0.8789 -0.2524 +vn -0.3531 0.8644 -0.3580 +vn -0.9044 0.3441 -0.2524 +vn -0.4055 -0.8771 0.2573 +vn -0.9261 -0.3773 0.0024 +vn 0.3524 -0.8626 0.3629 +vn 0.9037 -0.3423 0.2573 +vn 0.9254 0.3790 0.0024 +vn 0.4048 0.8788 -0.2525 +vn -0.3531 0.8643 -0.3581 +vn -0.9044 0.3440 -0.2525 +vn -0.4055 -0.8772 0.2572 +vn -0.9261 -0.3774 0.0023 +vn 0.3524 -0.8627 0.3628 +vn 0.9037 -0.3423 0.2572 +vn 0.9254 0.3790 0.0023 +vn 0.4048 0.8788 -0.2527 +vn -0.3531 0.8643 -0.3582 +vn -0.9044 0.3440 -0.2527 +vn -0.5480 0.5542 0.6266 +vn -0.2519 0.9660 0.0585 +vn -0.4789 -0.1669 0.8619 +vn -0.0850 -0.7747 0.6266 +vn 0.4030 -0.9133 0.0585 +vn 0.6991 -0.5015 -0.5096 +vn 0.6992 -0.5015 -0.5096 +vn 0.6300 0.2195 -0.7449 +vn 0.2361 0.8274 -0.5096 +vn -0.5525 0.5529 0.6237 +vn -0.2561 0.9651 0.0551 +vn -0.4832 -0.1687 0.8591 +vn -0.0886 -0.7767 0.6237 +vn 0.3997 -0.9149 0.0555 +vn 0.6959 -0.5030 -0.5125 +vn 0.6268 0.2180 -0.7481 +vn 0.2325 0.8262 -0.5131 +vn -0.5378 0.5571 0.6328 +vn -0.2465 0.9670 0.0649 +vn -0.4765 -0.1632 0.8639 +vn -0.0965 -0.7769 0.6222 +vn 0.3824 -0.9229 0.0449 +vn 0.6776 -0.5105 -0.5293 +vn 0.6133 0.2169 -0.7595 +vn 0.2294 0.8281 -0.5115 +vn -0.5084 0.5633 0.6513 +vn -0.2208 0.9721 0.0794 +vn -0.4552 -0.1608 0.8758 +vn -0.0907 -0.7789 0.6205 +vn 0.3729 -0.9273 0.0331 +vn 0.6625 -0.5173 -0.5418 +vn 0.6076 0.2102 -0.7660 +vn 0.2410 0.8270 -0.5079 +vn -0.5616 0.5489 0.6191 +vn -0.2573 0.9654 0.0431 +vn -0.4834 -0.1813 0.8564 +vn -0.0753 -0.7820 0.6187 +vn 0.4160 -0.9075 0.0584 +vn 0.7090 -0.4983 -0.4990 +vn 0.6395 0.2109 -0.7393 +vn 0.2427 0.8189 -0.5201 +vn -0.6911 0.5026 0.5194 +vn -0.3604 0.9319 -0.0401 +vn -0.5639 -0.2110 0.7985 +vn -0.0668 -0.7696 0.6351 +vn 0.4966 -0.8562 0.1426 +vn 0.8087 -0.4383 -0.3923 +vn 0.6982 0.2470 -0.6719 +vn 0.2197 0.8170 -0.5331 +vn -0.7963 0.4433 0.4115 +vn -0.4478 0.8857 -0.1222 +vn -0.6316 -0.2393 0.7375 +vn -0.0632 -0.7459 0.6630 +vn 0.5638 -0.7885 0.2457 +vn 0.8946 -0.3572 -0.2686 +vn 0.7471 0.3030 -0.5917 +vn 0.1964 0.8207 -0.5366 +vn -0.8369 0.4137 0.3584 +vn -0.4902 0.8577 -0.1554 +vn -0.6668 -0.2444 0.7041 +vn -0.0798 -0.7303 0.6784 +vn 0.5786 -0.7595 0.2972 +vn 0.9238 -0.3165 -0.2152 +vn 0.7553 0.3400 -0.5603 +vn 0.1698 0.8269 -0.5361 +vn -0.8385 0.4134 0.3551 +vn -0.4970 0.8540 -0.1539 +vn -0.6740 -0.2391 0.6990 +vn -0.0930 -0.7293 0.6778 +vn 0.5705 -0.7658 0.2968 +vn 0.9213 -0.3192 -0.2220 +vn 0.7474 0.3447 -0.5680 +vn 0.1570 0.8289 -0.5369 +vn 0.4278 0.6213 0.6564 +vn 0.3182 0.9477 -0.0236 +vn 0.3367 -0.0810 0.9381 +vn 0.0983 -0.7480 0.6564 +vn -0.1478 -0.9887 -0.0236 +vn -0.2574 -0.6624 -0.7036 +vn -0.1663 0.0400 -0.9853 +vn 0.0722 0.7069 -0.7036 +vn 0.4236 0.6227 0.6579 +vn 0.3139 0.9492 -0.0224 +vn 0.3324 -0.0800 0.9397 +vn 0.0939 -0.7472 0.6579 +vn -0.1523 -0.9881 -0.0224 +vn -0.2619 -0.6616 -0.7027 +vn -0.1708 0.0411 -0.9845 +vn 0.0677 0.7083 -0.7027 +vn 0.4205 0.6236 0.6590 +vn 0.3108 0.9502 -0.0215 +vn 0.3293 -0.0792 0.9409 +vn 0.0907 -0.7466 0.6590 +vn -0.1556 -0.9876 -0.0215 +vn -0.2653 -0.6610 -0.7020 +vn -0.1741 0.0419 -0.9838 +vn 0.0645 0.7093 -0.7020 +vn 0.4264 0.6218 0.6569 +vn 0.3168 0.9482 -0.0232 +vn 0.3353 -0.0807 0.9387 +vn 0.0968 -0.7477 0.6569 +vn -0.1493 -0.9885 -0.0232 +vn -0.2589 -0.6621 -0.7033 +vn -0.1678 0.0404 -0.9850 +vn 0.0707 0.7074 -0.7033 +vn 0.4266 0.6217 0.6569 +vn 0.3170 0.9481 -0.0232 +vn 0.3355 -0.0807 0.9386 +vn 0.0970 -0.7477 0.6569 +vn -0.1491 -0.9886 -0.0232 +vn -0.2587 -0.6621 -0.7033 +vn -0.1676 0.0403 -0.9850 +vn 0.0709 0.7073 -0.7033 +vn 0.4218 0.6232 0.6585 +vn 0.3122 0.9498 -0.0219 +vn 0.3307 -0.0796 0.9404 +vn 0.0921 -0.7469 0.6585 +vn -0.1541 -0.9878 -0.0219 +vn -0.2638 -0.6612 -0.7023 +vn -0.1726 0.0415 -0.9841 +vn 0.0659 0.7088 -0.7023 +vn 0.3353 -0.0807 0.9386 +vn 0.3355 -0.0808 0.9386 +vn 0.0971 -0.7477 0.6569 +vn -0.2587 -0.6621 -0.7034 +vn 0.4218 0.6232 0.6586 +vn 0.0921 -0.7469 0.6586 +vn -0.1727 0.0415 -0.9841 +vn -0.6881 0.3567 0.6319 +vn -0.6843 0.3614 0.6333 +vn -0.9831 0.1785 -0.0405 +vn -0.9838 0.1756 -0.0354 +vn 0.0083 0.3870 0.9220 +vn 0.0190 0.3877 0.9216 +vn 0.7098 0.2454 0.6603 +vn 0.7174 0.2415 0.6534 +vn 0.9999 0.0117 -0.0121 +vn 0.9998 0.0080 -0.0157 +vn 0.6963 -0.1741 -0.6963 +vn 0.6997 -0.1757 -0.6924 +vn -0.0175 -0.1998 -0.9797 +vn -0.0066 -0.2018 -0.9794 +vn -0.7112 -0.0536 -0.7009 +vn -0.7038 -0.0547 -0.7083 +vn -0.6882 0.3075 0.6571 +vn -0.9923 0.1210 -0.0281 +vn 0.0282 0.3626 0.9315 +vn 0.7240 0.2575 0.6400 +vn 0.9978 0.0569 -0.0340 +vn 0.7020 -0.1247 -0.7011 +vn 0.0043 -0.1844 -0.9828 +vn -0.6997 -0.0842 -0.7094 +vn -0.6932 0.1677 0.7010 +vn -0.9997 -0.0218 0.0107 +vn 0.0246 0.3069 0.9514 +vn 0.7128 0.3152 0.6266 +vn 0.9791 0.1928 -0.0653 +vn 0.6850 0.0108 -0.7285 +vn -0.0050 -0.1290 -0.9916 +vn -0.7055 -0.1447 -0.6938 +vn -0.6809 0.0284 0.7318 +vn -0.9858 -0.1618 0.0448 +vn 0.0173 0.2558 0.9666 +vn 0.6834 0.3836 0.6211 +vn 0.9357 0.3419 -0.0866 +vn 0.6414 0.1582 -0.7507 +vn -0.0341 -0.0642 -0.9974 +vn -0.7108 -0.1985 -0.6748 +vn -0.6728 -0.0377 0.7389 +vn -0.9722 -0.2253 0.0634 +vn 0.0032 0.2250 0.9744 +vn 0.6590 0.4081 0.6318 +vn 0.9104 0.4046 -0.0867 +vn 0.6116 0.2175 -0.7606 +vn -0.0630 -0.0442 -0.9970 +vn -0.7195 -0.2278 -0.6561 +vn -0.6778 -0.0233 0.7348 +vn -0.9758 -0.2097 0.0627 +vn -0.0017 0.2266 0.9740 +vn 0.6613 0.3948 0.6378 +vn 0.9208 0.3814 -0.0818 +vn 0.6198 0.1930 -0.7607 +vn -0.0631 -0.0585 -0.9963 +vn -0.7230 -0.2248 -0.6533 +vn -0.6821 0.0030 0.7313 +vn -0.9813 -0.1840 0.0565 +vn 0.0003 0.2417 0.9703 +vn 0.6668 0.3924 0.6335 +vn 0.9267 0.3667 -0.0825 +vn 0.6272 0.1795 -0.7579 +vn -0.0559 -0.0593 -0.9967 +vn -0.7221 -0.2098 -0.6592 +vn -0.6821 0.0036 0.7313 +vn -0.9814 -0.1835 0.0562 +vn 0.0007 0.2422 0.9702 +vn 0.6671 0.3926 0.6331 +vn 0.9267 0.3666 -0.0827 +vn 0.6273 0.1796 -0.7578 +vn -0.0556 -0.0590 -0.9967 +vn -0.7219 -0.2094 -0.6596 +vn -0.6808 -0.0018 0.7324 +vn -0.9803 -0.1890 0.0570 +vn 0.0023 0.2369 0.9715 +vn 0.6692 0.3874 0.6342 +vn 0.9288 0.3614 -0.0820 +vn 0.6292 0.1743 -0.7575 +vn -0.0540 -0.0645 -0.9965 +vn -0.7206 -0.2150 -0.6592 +vn -0.4889 -0.5071 0.7098 +vn -0.7305 -0.6829 0.0093 +vn -0.0047 0.0041 1.0000 +vn 0.4385 0.5512 0.7098 +vn 0.5811 0.8138 0.0093 +vn 0.3395 0.6380 -0.6912 +vn -0.1448 0.1268 -0.9813 +vn -0.1447 0.1268 -0.9813 +vn -0.5879 -0.4203 -0.6912 +vn -0.4852 -0.5108 0.7097 +vn -0.7269 -0.6866 0.0089 +vn -0.0008 0.0007 1.0000 +vn 0.4426 0.5481 0.7097 +vn 0.5852 0.8108 0.0089 +vn 0.3435 0.6349 -0.6920 +vn -0.1409 0.1235 -0.9823 +vn -0.5843 -0.4239 -0.6920 +vn -0.4825 -0.5135 0.7096 +vn -0.7243 -0.6894 0.0085 +vn 0.0021 -0.0018 1.0000 +vn 0.4456 0.5458 0.7096 +vn 0.5883 0.8086 0.0085 +vn 0.3465 0.6327 -0.6926 +vn -0.1381 0.1210 -0.9830 +vn -0.5817 -0.4266 -0.6926 +vn -0.4876 -0.5083 0.7098 +vn -0.7293 -0.6842 0.0092 +vn -0.0033 0.0029 1.0000 +vn 0.4399 0.5502 0.7098 +vn 0.5825 0.8128 0.0092 +vn 0.3408 0.6370 -0.6914 +vn -0.1435 0.1257 -0.9816 +vn -0.5867 -0.4215 -0.6914 +vn -0.4878 -0.5081 0.7098 +vn -0.7295 -0.6840 0.0092 +vn -0.0036 0.0031 1.0000 +vn 0.4397 0.5503 0.7098 +vn 0.5823 0.8129 0.0092 +vn 0.3406 0.6371 -0.6914 +vn -0.1437 0.1259 -0.9816 +vn -0.5869 -0.4213 -0.6914 +vn -0.4837 -0.5123 0.7096 +vn -0.7255 -0.6882 0.0087 +vn 0.0008 -0.0007 1.0000 +vn 0.4443 0.5468 0.7096 +vn 0.5870 0.8096 0.0086 +vn 0.3452 0.6337 -0.6923 +vn -0.1394 0.1221 -0.9827 +vn -0.5828 -0.4254 -0.6923 +vn -0.4877 -0.5084 0.7098 +vn -0.0034 0.0029 1.0000 +vn 0.3409 0.6370 -0.6914 +vn -0.4879 -0.5081 0.7098 +vn 0.5822 0.8130 0.0092 +vn 0.3407 0.6371 -0.6914 +vn -0.4838 -0.5122 0.7096 +vn 0.0007 -0.0007 1.0000 +vn 0.4443 0.5468 0.7097 +vn 0.5870 0.8096 0.0087 +vn 0.3453 0.6336 -0.6923 +vn -0.1393 0.1221 -0.9827 +vn -0.5829 -0.4254 -0.6923 +vn -0.6815 0.2524 0.6869 +vn -0.9819 0.1893 -0.0113 +vn 0.0232 0.2162 0.9761 +vn 0.0232 0.2161 0.9761 +vn 0.7196 0.1018 0.6869 +vn 0.9997 -0.0237 -0.0113 +vn 0.6993 -0.0868 -0.7095 +vn -0.0055 -0.0505 -0.9987 +vn -0.0054 -0.0505 -0.9987 +vn -0.7018 0.0638 -0.7095 +vn -0.6823 0.2482 0.6877 +vn -0.9827 0.1850 -0.0107 +vn 0.0228 0.2119 0.9770 +vn 0.7194 0.0975 0.6877 +vn 0.9996 -0.0280 -0.0107 +vn 0.6991 -0.0911 -0.7092 +vn -0.0059 -0.0549 -0.9985 +vn -0.7025 0.0595 -0.7092 +vn -0.6828 0.2451 0.6883 +vn -0.9833 0.1819 -0.0103 +vn 0.0224 0.2088 0.9777 +vn 0.7192 0.0944 0.6883 +vn 0.9995 -0.0311 -0.0103 +vn 0.6989 -0.0943 -0.7089 +vn -0.0062 -0.0580 -0.9983 +vn -0.7030 0.0564 -0.7089 +vn -0.6818 0.2510 0.6872 +vn -0.9821 0.1879 -0.0111 +vn 0.0231 0.2147 0.9764 +vn 0.7195 0.1004 0.6872 +vn 0.9996 -0.0251 -0.0111 +vn 0.6993 -0.0882 -0.7094 +vn -0.0056 -0.0520 -0.9986 +vn -0.7020 0.0624 -0.7094 +vn -0.6817 0.2512 0.6871 +vn -0.9821 0.1881 -0.0111 +vn 0.0231 0.2149 0.9764 +vn 0.7195 0.1006 0.6871 +vn 0.9996 -0.0249 -0.0111 +vn 0.6993 -0.0880 -0.7094 +vn -0.0055 -0.0518 -0.9986 +vn -0.7020 0.0626 -0.7094 +vn -0.6825 0.2464 0.6881 +vn -0.9830 0.1833 -0.0105 +vn 0.0226 0.2102 0.9774 +vn 0.7193 0.0958 0.6881 +vn 0.9995 -0.0297 -0.0105 +vn 0.6991 -0.0929 -0.7090 +vn -0.0061 -0.0566 -0.9984 +vn -0.7028 0.0578 -0.7090 +vn 0.7196 0.1004 0.6871 +vn 0.9996 -0.0251 -0.0112 +vn -0.6817 0.2512 0.6872 +vn -0.9821 0.1880 -0.0111 +vn 0.0232 0.2149 0.9764 +vn -0.6824 0.2465 0.6882 +vn -0.9830 0.1833 -0.0104 +vn 0.0227 0.2102 0.9774 +vn 0.7192 0.0958 0.6881 +vn 0.9995 -0.0297 -0.0104 +vn 0.6991 -0.0929 -0.7089 +vn -0.0059 -0.0566 -0.9984 +vn -0.7028 0.0577 -0.7091 +vn -0.4001 0.6425 0.6535 +vn -0.0347 0.9950 0.0935 +vn -0.4586 -0.0746 0.8855 +vn -0.1759 -0.7362 0.6535 +vn 0.2824 -0.9547 0.0935 +vn 0.6479 -0.6022 -0.4665 +vn 0.7064 0.1149 -0.6985 +vn 0.4236 0.7765 -0.4665 +vn -0.4070 0.6422 0.6495 +vn -0.0411 0.9952 0.0888 +vn -0.4655 -0.0757 0.8818 +vn -0.1825 -0.7381 0.6495 +vn 0.2764 -0.9569 0.0888 +vn 0.6423 -0.6040 -0.4719 +vn 0.7009 0.1140 -0.7041 +vn 0.4178 0.7764 -0.4719 +vn -0.4122 0.6420 0.6465 +vn -0.0460 0.9953 0.0853 +vn -0.4708 -0.0766 0.8789 +vn -0.1875 -0.7396 0.6464 +vn 0.2718 -0.9586 0.0853 +vn 0.6380 -0.6053 -0.4759 +vn 0.6967 0.1133 -0.7084 +vn 0.4133 0.7763 -0.4759 +vn -0.4026 0.6424 0.6521 +vn -0.0370 0.9951 0.0918 +vn -0.4611 -0.0750 0.8842 +vn -0.1782 -0.7369 0.6521 +vn 0.2803 -0.9555 0.0918 +vn 0.6459 -0.6028 -0.4684 +vn 0.7044 0.1146 -0.7005 +vn 0.4215 0.7764 -0.4684 +vn -0.4020 0.6424 0.6524 +vn -0.0364 0.9951 0.0922 +vn -0.4605 -0.0749 0.8845 +vn -0.1777 -0.7367 0.6524 +vn 0.2808 -0.9553 0.0922 +vn 0.6464 -0.6027 -0.4680 +vn 0.7049 0.1146 -0.7000 +vn 0.4221 0.7765 -0.4680 +vn -0.4099 0.6421 0.6478 +vn -0.0439 0.9953 0.0868 +vn -0.4685 -0.0762 0.8802 +vn -0.1853 -0.7389 0.6478 +vn 0.2738 -0.9579 0.0868 +vn 0.6399 -0.6047 -0.4742 +vn 0.6985 0.1136 -0.7065 +vn 0.4153 0.7764 -0.4742 +vn -0.1783 -0.7369 0.6521 +vn 0.4216 0.7764 -0.4684 +vn -0.0364 0.9951 0.0923 +vn 0.2808 -0.9553 0.0923 +vn 0.6464 -0.6027 -0.4679 +vn -0.4099 0.6422 0.6478 +vn -0.0438 0.9953 0.0868 +vn -0.4686 -0.0762 0.8801 +vn 0.2739 -0.9578 0.0868 +vn 0.6399 -0.6047 -0.4741 +vn 0.4153 0.7763 -0.4742 +vn -0.7394 -0.1435 0.6578 +vn -0.9543 0.2896 0.0733 +vn -0.0795 -0.4288 0.8999 +vn 0.6388 -0.3991 0.6578 +vn 0.9947 -0.0718 0.0733 +vn 0.9947 -0.0719 0.0733 +vn 0.7798 0.3613 -0.5113 +vn 0.1199 0.6466 -0.7534 +vn -0.5984 0.6169 -0.5113 +vn -0.7411 -0.1493 0.6546 +vn -0.9562 0.2843 0.0695 +vn -0.0806 -0.4348 0.8969 +vn 0.6383 -0.4051 0.6546 +vn 0.9946 -0.0775 0.0696 +vn 0.7795 0.3560 -0.5155 +vn 0.1190 0.6415 -0.7578 +vn -0.6000 0.6118 -0.5155 +vn -0.7424 -0.1536 0.6522 +vn -0.9576 0.2802 0.0667 +vn -0.0815 -0.4393 0.8946 +vn 0.6379 -0.4096 0.6522 +vn 0.9944 -0.0818 0.0668 +vn 0.7792 0.3520 -0.5186 +vn 0.1183 0.6377 -0.7611 +vn -0.6011 0.6080 -0.5187 +vn -0.7400 -0.1455 0.6567 +vn -0.9550 0.2877 0.0720 +vn -0.0799 -0.4309 0.8989 +vn 0.6386 -0.4012 0.6567 +vn 0.9947 -0.0738 0.0720 +vn 0.7797 0.3594 -0.5127 +vn 0.1196 0.6448 -0.7549 +vn -0.5990 0.6151 -0.5127 +vn -0.7399 -0.1451 0.6569 +vn -0.9549 0.2881 0.0722 +vn -0.0798 -0.4305 0.8991 +vn 0.6387 -0.4008 0.6569 +vn 0.9947 -0.0734 0.0722 +vn 0.7797 0.3598 -0.5124 +vn 0.1196 0.6452 -0.7546 +vn -0.5988 0.6155 -0.5124 +vn -0.7418 -0.1517 0.6532 +vn -0.9570 0.2820 0.0680 +vn -0.0811 -0.4373 0.8956 +vn 0.6381 -0.4076 0.6532 +vn 0.9945 -0.0799 0.0680 +vn 0.7793 0.3538 -0.5173 +vn 0.1186 0.6394 -0.7597 +vn -0.6006 0.6097 -0.5173 +vn 0.1197 0.6452 -0.7546 +vn -0.5989 0.6155 -0.5124 +vn -0.7419 -0.1517 0.6532 +vn -0.9570 0.2821 0.0679 +vn 0.6382 -0.4076 0.6532 +vn 0.9945 -0.0799 0.0679 +vn 0.7793 0.3537 -0.5173 +vn 0.6533 -0.2871 0.7005 +vn 0.8485 -0.5291 0.0013 +vn 0.8486 -0.5291 0.0013 +vn 0.0727 0.1189 0.9902 +vn 0.0728 0.1189 0.9902 +vn -0.5530 0.4511 0.7005 +vn -0.8573 0.5148 0.0013 +vn -0.6621 0.2727 -0.6980 +vn -0.6621 0.2728 -0.6980 +vn -0.0816 -0.1332 -0.9877 +vn -0.0815 -0.1332 -0.9877 +vn 0.5442 -0.4654 -0.6981 +vn 0.5442 -0.4654 -0.6980 +vn 0.6535 -0.2868 0.7005 +vn 0.8487 -0.5288 0.0012 +vn 0.0730 0.1193 0.9902 +vn -0.5527 0.4514 0.7005 +vn -0.8571 0.5152 0.0011 +vn -0.6618 0.2732 -0.6982 +vn -0.0813 -0.1329 -0.9878 +vn 0.5444 -0.4651 -0.6981 +vn 0.6537 -0.2864 0.7005 +vn 0.8490 -0.5285 0.0011 +vn 0.0731 0.1195 0.9901 +vn -0.5525 0.4517 0.7005 +vn -0.8569 0.5154 0.0011 +vn -0.6616 0.2734 -0.6982 +vn -0.0812 -0.1326 -0.9878 +vn 0.5445 -0.4648 -0.6982 +vn 0.6533 -0.2870 0.7006 +vn 0.8486 -0.5290 0.0012 +vn 0.0728 0.1190 0.9902 +vn -0.5528 0.4512 0.7006 +vn -0.8573 0.5149 0.0013 +vn -0.6621 0.2729 -0.6980 +vn -0.0816 -0.1331 -0.9877 +vn 0.5442 -0.4653 -0.6981 +vn 0.6533 -0.2870 0.7005 +vn -0.8572 0.5150 0.0013 +vn -0.6622 0.2729 -0.6979 +vn -0.0817 -0.1332 -0.9877 +vn 0.5443 -0.4653 -0.6980 +vn 0.6536 -0.2866 0.7005 +vn 0.8488 -0.5287 0.0012 +vn 0.0730 0.1194 0.9902 +vn -0.5526 0.4516 0.7005 +vn -0.8570 0.5154 0.0012 +vn -0.6619 0.2733 -0.6980 +vn -0.0815 -0.1327 -0.9878 +vn 0.5444 -0.4649 -0.6982 +vn 0.6533 -0.2871 0.7006 +vn -0.8572 0.5150 0.0012 +vn -0.6618 0.2729 -0.6982 +vn -0.0814 -0.1331 -0.9878 +vn 0.5441 -0.4653 -0.6981 +vn 0.6535 -0.2870 0.7004 +vn -0.6619 0.2729 -0.6981 +vn -0.0814 -0.1331 -0.9877 +vn 0.6539 -0.2866 0.7002 +vn 0.8488 -0.5288 0.0011 +vn -0.5529 0.4515 0.7003 +vn -0.8569 0.5155 0.0011 +vn -0.6620 0.2733 -0.6979 +vn 0.5445 -0.4649 -0.6981 +vn 0.5973 -0.3396 0.7265 +vn 0.7514 -0.6559 0.0716 +vn 0.0310 0.0584 0.9978 +vn -0.6157 0.3050 0.7265 +vn -0.9641 0.2556 0.0716 +vn -0.8100 -0.0607 -0.5833 +vn -0.2437 -0.4587 -0.8545 +vn 0.4031 -0.7052 -0.5833 +vn 0.6044 -0.3305 0.7249 +vn 0.7589 -0.6476 0.0682 +vn 0.0365 0.0686 0.9970 +vn -0.6121 0.3159 0.7249 +vn -0.9614 0.2664 0.0682 +vn -0.8069 -0.0507 -0.5885 +vn -0.2390 -0.4498 -0.8605 +vn 0.4095 -0.6971 -0.5885 +vn 0.6100 -0.3231 0.7236 +vn 0.7648 -0.6409 0.0655 +vn 0.0409 0.0769 0.9962 +vn -0.6091 0.3247 0.7236 +vn -0.9592 0.2751 0.0655 +vn -0.8043 -0.0427 -0.5927 +vn -0.2352 -0.4427 -0.8653 +vn 0.4147 -0.6905 -0.5927 +vn 0.6001 -0.3361 0.7259 +vn 0.7543 -0.6527 0.0703 +vn 0.0331 0.0624 0.9975 +vn -0.6143 0.3092 0.7259 +vn -0.9631 0.2598 0.0703 +vn -0.8088 -0.0568 -0.5853 +vn -0.2419 -0.4553 -0.8569 +vn 0.4056 -0.7021 -0.5853 +vn 0.5991 -0.3373 0.7261 +vn 0.7534 -0.6538 0.0708 +vn 0.0324 0.0610 0.9976 +vn -0.6148 0.3078 0.7261 +vn -0.9634 0.2584 0.0708 +vn -0.8092 -0.0581 -0.5846 +vn -0.2425 -0.4564 -0.8561 +vn 0.4048 -0.7031 -0.5846 +vn 0.6076 -0.3262 0.7242 +vn 0.7623 -0.6438 0.0666 +vn 0.0390 0.0734 0.9965 +vn -0.6104 0.3209 0.7242 +vn -0.9602 0.2714 0.0666 +vn -0.8054 -0.0462 -0.5909 +vn -0.2369 -0.4458 -0.8632 +vn 0.4125 -0.6933 -0.5909 +vn 0.5991 -0.3373 0.7262 +vn -0.9634 0.2584 0.0707 +vn -0.8092 -0.0581 -0.5847 +vn -0.2424 -0.4564 -0.8561 +vn 0.6075 -0.3263 0.7243 +vn 0.7623 -0.6438 0.0668 +vn 0.0390 0.0733 0.9965 +vn -0.2367 -0.4458 -0.8633 +vn 0.4126 -0.6933 -0.5909 +vn -0.4700 0.5307 0.7053 +vn -0.5092 0.8605 0.0187 +vn -0.1168 -0.0826 0.9897 +vn 0.3435 -0.6201 0.7053 +vn 0.6413 -0.7670 0.0187 +vn 0.6022 -0.4372 -0.6680 +vn 0.2490 0.1760 -0.9524 +vn -0.2113 0.7136 -0.6680 +vn -0.4736 0.5284 0.7046 +vn -0.5128 0.8583 0.0177 +vn -0.1203 -0.0851 0.9891 +vn 0.3402 -0.6228 0.7046 +vn 0.6381 -0.7697 0.0177 +vn 0.5990 -0.4398 -0.6692 +vn 0.2457 0.1737 -0.9537 +vn -0.2148 0.7114 -0.6692 +vn -0.4763 0.5268 0.7040 +vn -0.5154 0.8568 0.0170 +vn -0.1229 -0.0869 0.9886 +vn 0.3377 -0.6247 0.7040 +vn 0.6358 -0.7717 0.0170 +vn 0.5966 -0.4417 -0.6700 +vn 0.2432 0.1719 -0.9546 +vn -0.2174 0.7098 -0.6700 +vn -0.4712 0.5299 0.7051 +vn -0.5103 0.8598 0.0184 +vn -0.1180 -0.0834 0.9895 +vn 0.3424 -0.6210 0.7051 +vn 0.6403 -0.7679 0.0184 +vn 0.6011 -0.4381 -0.6684 +vn 0.2479 0.1753 -0.9528 +vn -0.2125 0.7129 -0.6684 +vn -0.4711 0.5300 0.7051 +vn -0.5102 0.8599 0.0184 +vn -0.1178 -0.0833 0.9895 +vn 0.3425 -0.6209 0.7051 +vn 0.6404 -0.7678 0.0184 +vn 0.6013 -0.4380 -0.6683 +vn 0.2481 0.1754 -0.9527 +vn -0.2123 0.7130 -0.6683 +vn -0.4751 0.5275 0.7043 +vn -0.5142 0.8575 0.0173 +vn -0.1218 -0.0861 0.9888 +vn 0.3388 -0.6239 0.7043 +vn 0.6368 -0.7708 0.0173 +vn 0.5976 -0.4409 -0.6697 +vn 0.2443 0.1727 -0.9542 +vn -0.2162 0.7105 -0.6697 +vn -0.5104 0.8598 0.0184 +vn -0.2125 0.7128 -0.6684 +vn -0.4710 0.5300 0.7051 +vn 0.3426 -0.6209 0.7051 +vn 0.2480 0.1754 -0.9527 +vn -0.4750 0.5275 0.7043 +vn -0.5142 0.8575 0.0174 +vn -0.1217 -0.0861 0.9888 +vn 0.3389 -0.6238 0.7043 +vn 0.6369 -0.7708 0.0174 +vn 0.5976 -0.4409 -0.6696 +vn -0.2163 0.7105 -0.6696 +vn -0.0118 0.7642 0.6449 +vn 0.4540 0.8893 0.0557 +vn -0.4243 0.1726 0.8889 +vn -0.5419 -0.5389 0.6449 +vn -0.5420 -0.5389 0.6449 +vn -0.2958 -0.9536 0.0557 +vn 0.1700 -0.8286 -0.5335 +vn 0.5825 -0.2370 -0.7775 +vn 0.7001 0.4746 -0.5335 +vn -0.0156 0.7664 0.6421 +vn 0.4506 0.8912 0.0529 +vn -0.4287 0.1747 0.8864 +vn -0.5467 -0.5374 0.6422 +vn -0.3003 -0.9524 0.0525 +vn 0.1661 -0.8271 -0.5369 +vn 0.5790 -0.2352 -0.7806 +vn 0.6968 0.4764 -0.5363 +vn -0.0251 0.7680 0.6399 +vn 0.4327 0.9006 0.0424 +vn -0.4240 0.1695 0.8897 +vn -0.5325 -0.5424 0.6498 +vn -0.2895 -0.9552 0.0618 +vn 0.1647 -0.8292 -0.5341 +vn 0.5666 -0.2339 -0.7901 +vn 0.6787 0.4846 -0.5519 +vn -0.0214 0.7707 0.6369 +vn 0.4218 0.9062 0.0310 +vn -0.4042 0.1668 0.8993 +vn -0.5032 -0.5498 0.6667 +vn -0.2625 -0.9619 0.0762 +vn 0.1786 -0.8295 -0.5291 +vn 0.5630 -0.2273 -0.7946 +vn 0.6642 0.4924 -0.5625 +vn -0.0015 0.7702 0.6378 +vn 0.4662 0.8829 0.0562 +vn -0.4270 0.1873 0.8847 +vn -0.5551 -0.5319 0.6395 +vn -0.3030 -0.9521 0.0417 +vn 0.1750 -0.8201 -0.5447 +vn 0.5917 -0.2279 -0.7733 +vn 0.7095 0.4721 -0.5232 +vn 0.0182 0.7498 0.6614 +vn 0.5530 0.8218 0.1375 +vn -0.4973 0.2158 0.8403 +vn -0.6827 -0.4792 0.5516 +vn -0.4141 -0.9094 -0.0394 +vn 0.1400 -0.8119 -0.5668 +vn 0.6414 -0.2638 -0.7204 +vn 0.8075 0.4058 -0.4282 +vn 0.0323 0.7162 0.6972 +vn 0.6274 0.7420 0.2362 +vn -0.5573 0.2412 0.7945 +vn -0.7873 -0.4147 0.4563 +vn -0.5081 -0.8530 -0.1196 +vn 0.1068 -0.8074 -0.5802 +vn 0.6832 -0.3194 -0.6566 +vn 0.8934 0.3168 -0.3187 +vn 0.0204 0.6967 0.7170 +vn 0.6471 0.7070 0.2855 +vn -0.5915 0.2450 0.7682 +vn -0.8285 -0.3836 0.4079 +vn -0.5515 -0.8202 -0.1520 +vn 0.0771 -0.8086 -0.5833 +vn 0.6878 -0.3557 -0.6328 +vn 0.9229 0.2715 -0.2729 +vn 0.0072 0.6969 0.7171 +vn 0.6400 0.7135 0.2851 +vn -0.5999 0.2403 0.7631 +vn -0.8305 -0.3837 0.4038 +vn -0.5574 -0.8165 -0.1506 +vn 0.0647 -0.8096 -0.5834 +vn 0.6789 -0.3598 -0.6401 +vn 0.9201 0.2737 -0.2801 +vn -0.7514 -0.0584 0.6572 +vn -0.8507 0.4959 0.1742 +vn -0.1771 -0.4834 0.8573 +vn 0.5359 -0.5300 0.6572 +vn 0.9698 -0.1709 0.1742 +vn 0.8704 0.3834 -0.3088 +vn 0.2961 0.8083 -0.5088 +vn -0.4168 0.8549 -0.3088 +vn -0.7566 -0.0668 0.6504 +vn -0.8562 0.4892 0.1660 +vn -0.1806 -0.4930 0.8511 +vn 0.5345 -0.5397 0.6504 +vn 0.9696 -0.1796 0.1660 +vn 0.8700 0.3764 -0.3185 +vn 0.2940 0.8026 -0.5191 +vn -0.4211 0.8493 -0.3184 +vn -0.7608 -0.0736 0.6448 +vn -0.8606 0.4837 0.1593 +vn -0.1834 -0.5007 0.8460 +vn 0.5333 -0.5476 0.6448 +vn 0.9694 -0.1866 0.1593 +vn 0.8696 0.3706 -0.3263 +vn 0.2922 0.7978 -0.5274 +vn -0.4244 0.8446 -0.3263 +vn -0.7534 -0.0617 0.6546 +vn -0.8529 0.4933 0.1710 +vn -0.1784 -0.4871 0.8549 +vn 0.5353 -0.5338 0.6546 +vn 0.9697 -0.1743 0.1710 +vn 0.8703 0.3807 -0.3126 +vn 0.2953 0.8061 -0.5129 +vn -0.4185 0.8527 -0.3126 +vn -0.7527 -0.0606 0.6555 +vn -0.8521 0.4942 0.1721 +vn -0.1780 -0.4858 0.8557 +vn 0.5355 -0.5325 0.6555 +vn 0.9697 -0.1732 0.1721 +vn 0.8703 0.3816 -0.3113 +vn 0.2956 0.8069 -0.5115 +vn -0.4179 0.8535 -0.3113 +vn -0.7590 -0.0707 0.6472 +vn -0.8587 0.4861 0.1622 +vn -0.1822 -0.4974 0.8482 +vn 0.5338 -0.5442 0.6472 +vn 0.9695 -0.1836 0.1621 +vn 0.8698 0.3731 -0.3229 +vn 0.2930 0.7998 -0.5239 +vn -0.4230 0.8466 -0.3229 +vn -0.4185 0.8527 -0.3125 +vn 0.9697 -0.1731 0.1721 +vn -0.4179 0.8535 -0.3112 +vn -0.7590 -0.0707 0.6473 +vn -0.8588 0.4860 0.1622 +vn 0.2930 0.7998 -0.5238 +vn -0.4230 0.8467 -0.3229 +vn 0.2063 -0.6749 0.7085 +vn 0.2650 -0.9642 0.0053 +vn -0.0190 -0.0070 0.9998 +vn -0.2789 0.6483 0.7085 +vn -0.4212 0.9070 0.0053 +vn -0.3625 0.6176 -0.6980 +vn -0.1372 -0.0503 -0.9893 +vn 0.1227 -0.7055 -0.6980 +vn 0.2104 -0.6736 0.7085 +vn 0.2691 -0.9631 0.0050 +vn -0.0149 -0.0055 0.9999 +vn -0.2749 0.6500 0.7085 +vn -0.4172 0.9088 0.0050 +vn -0.3585 0.6193 -0.6985 +vn -0.1332 -0.0488 -0.9899 +vn 0.1268 -0.7043 -0.6985 +vn 0.2134 -0.6727 0.7085 +vn 0.2722 -0.9622 0.0048 +vn -0.0120 -0.0044 0.9999 +vn -0.2720 0.6512 0.7085 +vn -0.4144 0.9101 0.0048 +vn -0.3557 0.6206 -0.6989 +vn -0.1303 -0.0478 -0.9903 +vn 0.1298 -0.7034 -0.6989 +vn 0.2077 -0.6745 0.7085 +vn 0.2664 -0.9639 0.0052 +vn -0.0176 -0.0065 0.9998 +vn -0.2776 0.6488 0.7085 +vn -0.4199 0.9076 0.0052 +vn -0.3612 0.6182 -0.6982 +vn -0.1359 -0.0498 -0.9895 +vn 0.1241 -0.7051 -0.6981 +vn 0.2075 -0.6745 0.7085 +vn 0.2662 -0.9639 0.0052 +vn -0.0178 -0.0065 0.9998 +vn -0.2777 0.6488 0.7085 +vn -0.4200 0.9075 0.0052 +vn -0.3613 0.6181 -0.6981 +vn -0.1360 -0.0499 -0.9894 +vn 0.1239 -0.7052 -0.6981 +vn 0.2121 -0.6731 0.7085 +vn 0.2708 -0.9626 0.0049 +vn -0.0133 -0.0049 0.9999 +vn -0.2733 0.6507 0.7085 +vn -0.4156 0.9095 0.0049 +vn -0.3569 0.6200 -0.6987 +vn -0.1316 -0.0482 -0.9901 +vn 0.1285 -0.7038 -0.6987 +vn -0.3612 0.6182 -0.6981 +vn -0.2778 0.6488 0.7085 +vn 0.2709 -0.9626 0.0048 +vn -0.0133 -0.0048 0.9999 +vn 0.7331 -0.2104 0.6468 +vn 0.6698 -0.7346 0.1083 +vn 0.3172 0.3779 0.8698 +vn 0.3173 0.3779 0.8698 +vn -0.3341 0.6856 0.6468 +vn -0.8395 0.5325 0.1083 +vn -0.9028 0.0083 -0.4301 +vn -0.4869 -0.5800 -0.6531 +vn 0.1645 -0.8877 -0.4301 +vn 0.7385 -0.2055 0.6422 +vn 0.6751 -0.7305 0.1030 +vn 0.3221 0.3836 0.8655 +vn -0.3303 0.6918 0.6422 +vn -0.8364 0.5384 0.1030 +vn -0.8997 0.0134 -0.4362 +vn -0.4833 -0.5757 -0.6596 +vn 0.1690 -0.8838 -0.4362 +vn 0.7426 -0.2017 0.6386 +vn 0.6792 -0.7273 0.0988 +vn 0.3257 0.3880 0.8622 +vn -0.3273 0.6965 0.6386 +vn -0.8339 0.5430 0.0988 +vn -0.8974 0.0174 -0.4410 +vn -0.4805 -0.5723 -0.6646 +vn 0.1726 -0.8808 -0.4410 +vn 0.7351 -0.2086 0.6451 +vn 0.6717 -0.7331 0.1064 +vn 0.3190 0.3800 0.8683 +vn -0.3327 0.6878 0.6451 +vn -0.8384 0.5346 0.1064 +vn -0.9017 0.0101 -0.4323 +vn -0.4856 -0.5784 -0.6554 +vn 0.1661 -0.8863 -0.4323 +vn 0.7346 -0.2090 0.6455 +vn 0.6713 -0.7335 0.1069 +vn 0.3186 0.3795 0.8686 +vn -0.3331 0.6873 0.6455 +vn -0.8386 0.5341 0.1069 +vn -0.9019 0.0097 -0.4317 +vn -0.4859 -0.5788 -0.6548 +vn 0.1657 -0.8866 -0.4317 +vn 0.7408 -0.2034 0.6401 +vn 0.6774 -0.7287 0.1006 +vn 0.3241 0.3861 0.8636 +vn -0.3286 0.6944 0.6402 +vn -0.8350 0.5410 0.1006 +vn -0.8984 0.0157 -0.4389 +vn -0.4817 -0.5738 -0.6624 +vn 0.1710 -0.8821 -0.4389 +vn -0.8383 0.5347 0.1064 +vn -0.4856 -0.5784 -0.6555 +vn 0.7345 -0.2091 0.6456 +vn 0.6712 -0.7335 0.1069 +vn 0.3186 0.3794 0.8686 +vn -0.9020 0.0097 -0.4317 +vn -0.4860 -0.5788 -0.6548 +vn 0.7408 -0.2034 0.6402 +vn 0.6774 -0.7287 0.1007 +vn 0.3242 0.3861 0.8636 +vn -0.3285 0.6944 0.6402 +vn -0.8984 0.0158 -0.4389 +vn -0.4817 -0.5737 -0.6624 +vn 0.1711 -0.8821 -0.4389 +vn -0.2974 -0.6616 0.6884 +vn -0.6648 -0.7466 0.0248 +vn 0.2124 -0.1643 0.9633 +vn 0.5657 0.4539 0.6884 +vn 0.5557 0.8310 0.0248 +vn 0.1883 0.7460 -0.6388 +vn -0.3215 0.2487 -0.9137 +vn -0.6748 -0.3695 -0.6388 +vn -0.2946 -0.6640 0.6873 +vn -0.6622 -0.7490 0.0235 +vn 0.2153 -0.1666 0.9622 +vn 0.5687 0.4519 0.6873 +vn 0.5587 0.8290 0.0235 +vn 0.1911 0.7440 -0.6403 +vn -0.3187 0.2466 -0.9152 +vn -0.6722 -0.3718 -0.6403 +vn -0.2926 -0.6657 0.6865 +vn -0.6602 -0.7507 0.0226 +vn 0.2174 -0.1682 0.9615 +vn 0.5709 0.4503 0.6865 +vn 0.5609 0.8276 0.0226 +vn 0.1932 0.7425 -0.6413 +vn -0.3167 0.2451 -0.9163 +vn -0.6702 -0.3735 -0.6413 +vn -0.2965 -0.6624 0.6880 +vn -0.6640 -0.7474 0.0244 +vn 0.2133 -0.1650 0.9629 +vn 0.5667 0.4532 0.6880 +vn 0.5567 0.8303 0.0244 +vn 0.1892 0.7453 -0.6393 +vn -0.3206 0.2480 -0.9142 +vn -0.6740 -0.3703 -0.6393 +vn -0.2966 -0.6623 0.6881 +vn -0.6641 -0.7473 0.0244 +vn 0.2132 -0.1650 0.9630 +vn 0.5666 0.4533 0.6881 +vn 0.5566 0.8304 0.0244 +vn 0.1891 0.7454 -0.6392 +vn -0.3207 0.2481 -0.9141 +vn -0.6741 -0.3702 -0.6392 +vn -0.2935 -0.6649 0.6868 +vn -0.6611 -0.7499 0.0230 +vn 0.2165 -0.1675 0.9618 +vn 0.5699 0.4510 0.6868 +vn 0.5600 0.8282 0.0230 +vn 0.1923 0.7432 -0.6409 +vn -0.3176 0.2457 -0.9158 +vn -0.6711 -0.3727 -0.6408 +vn -0.2964 -0.6624 0.6880 +vn 0.2133 -0.1651 0.9629 +vn 0.5667 0.4533 0.6880 +vn -0.6640 -0.7473 0.0244 +vn 0.5666 0.4534 0.6881 +vn -0.6740 -0.3702 -0.6392 +vn -0.6610 -0.7500 0.0230 +vn 0.2164 -0.1675 0.9618 +vn 0.5699 0.4511 0.6868 +vn 0.5599 0.8282 0.0230 +vn 0.1925 0.7432 -0.6408 +vn -0.3175 0.2458 -0.9159 +vn -0.6710 -0.3728 -0.6409 +vn -0.2892 -0.7089 0.6433 +vn -0.7506 -0.6597 0.0372 +vn 0.3158 -0.3169 0.8943 +vn 0.7100 0.2866 0.6433 +vn 0.6624 0.7482 0.0372 +vn 0.2010 0.7974 -0.5689 +vn -0.4040 0.4055 -0.8200 +vn -0.7982 -0.1981 -0.5689 +vn -0.2870 -0.7114 0.6415 +vn -0.7485 -0.6622 0.0352 +vn 0.3182 -0.3193 0.8926 +vn 0.7125 0.2844 0.6415 +vn 0.6649 0.7461 0.0352 +vn 0.2034 0.7953 -0.5710 +vn -0.4018 0.4033 -0.8222 +vn -0.7961 -0.2004 -0.5710 +vn -0.2854 -0.7132 0.6402 +vn -0.7470 -0.6639 0.0338 +vn 0.3199 -0.3211 0.8914 +vn 0.7143 0.2828 0.6402 +vn 0.6667 0.7446 0.0338 +vn 0.2051 0.7938 -0.5725 +vn -0.4002 0.4017 -0.8237 +vn -0.7946 -0.2022 -0.5725 +vn -0.2885 -0.7097 0.6427 +vn -0.7499 -0.6605 0.0365 +vn 0.3166 -0.3177 0.8938 +vn 0.7108 0.2859 0.6427 +vn 0.6632 0.7475 0.0365 +vn 0.2018 0.7968 -0.5696 +vn -0.4033 0.4048 -0.8207 +vn -0.7975 -0.1989 -0.5696 +vn -0.2886 -0.7096 0.6428 +vn -0.7500 -0.6604 0.0366 +vn 0.3165 -0.3176 0.8938 +vn 0.7107 0.2860 0.6428 +vn 0.6631 0.7476 0.0366 +vn 0.2017 0.7968 -0.5695 +vn -0.4033 0.4048 -0.8206 +vn -0.7976 -0.1988 -0.5695 +vn -0.2861 -0.7124 0.6408 +vn -0.7477 -0.6632 0.0345 +vn 0.3191 -0.3203 0.8919 +vn 0.7135 0.2835 0.6408 +vn 0.6659 0.7452 0.0344 +vn 0.2043 0.7945 -0.5719 +vn -0.4009 0.4024 -0.8230 +vn -0.7952 -0.2014 -0.5719 +vn -0.7499 -0.6605 0.0366 +vn 0.2018 0.7967 -0.5696 +vn 0.3165 -0.3177 0.8938 +vn 0.6632 0.7476 0.0366 +vn 0.2018 0.7968 -0.5695 +vn -0.4034 0.4048 -0.8206 +vn 0.6660 0.7452 0.0345 +vn 0.2044 0.7945 -0.5719 +vn -0.7953 -0.2014 -0.5718 +vn 0.5908 0.4432 0.6741 +vn 0.5909 0.4432 0.6741 +vn 0.9432 0.3321 0.0038 +vn 0.9432 0.3322 0.0038 +vn -0.1052 0.2885 0.9517 +vn -0.1053 0.2885 0.9517 +vn -0.7374 -0.0414 0.6742 +vn -0.7375 -0.0414 0.6740 +vn -0.9355 -0.3533 0.0038 +vn -0.5832 -0.4643 -0.6665 +vn 0.1128 -0.3096 -0.9442 +vn 0.1128 -0.3096 -0.9441 +vn 0.7451 0.0203 -0.6667 +vn 0.7452 0.0203 -0.6666 +vn 0.5908 0.4437 0.6738 +vn 0.9431 0.3326 0.0036 +vn -0.1054 0.2890 0.9515 +vn -0.7378 -0.0409 0.6738 +vn -0.9357 -0.3527 0.0036 +vn -0.5834 -0.4638 -0.6667 +vn 0.1126 -0.3090 -0.9444 +vn 0.7450 0.0208 -0.6668 +vn 0.5907 0.4441 0.6737 +vn 0.9429 0.3331 0.0035 +vn -0.1054 0.2894 0.9514 +vn -0.7379 -0.0405 0.6737 +vn -0.9359 -0.3523 0.0034 +vn -0.5835 -0.4634 -0.6669 +vn 0.1126 -0.3087 -0.9445 +vn 0.7449 0.0212 -0.6669 +vn 0.5908 0.4434 0.6741 +vn 0.9432 0.3322 0.0037 +vn -0.1053 0.2886 0.9516 +vn -0.7376 -0.0412 0.6740 +vn -0.9356 -0.3531 0.0036 +vn -0.5832 -0.4642 -0.6666 +vn 0.1129 -0.3094 -0.9442 +vn 0.7452 0.0204 -0.6665 +vn 0.9432 0.3323 0.0038 +vn -0.7375 -0.0412 0.6741 +vn -0.9356 -0.3531 0.0037 +vn -0.5832 -0.4642 -0.6667 +vn 0.7451 0.0204 -0.6666 +vn 0.5906 0.4440 0.6739 +vn 0.9429 0.3330 0.0036 +vn -0.1054 0.2892 0.9514 +vn -0.7377 -0.0406 0.6739 +vn -0.9358 -0.3525 0.0036 +vn -0.5835 -0.4635 -0.6668 +vn 0.1127 -0.3088 -0.9444 +vn 0.7450 0.0210 -0.6668 +vn 0.5908 0.4433 0.6741 +vn -0.7375 -0.0413 0.6741 +vn -0.9356 -0.3531 0.0038 +vn -0.5834 -0.4641 -0.6666 +vn 0.1126 -0.3094 -0.9442 +vn 0.7451 0.0204 -0.6667 +vn -0.1054 0.2886 0.9516 +vn -0.7375 -0.0412 0.6740 +vn -0.9356 -0.3532 0.0037 +vn -0.5831 -0.4642 -0.6667 +vn 0.1127 -0.3094 -0.9442 +vn 0.7450 0.0203 -0.6668 +vn 0.5905 0.4440 0.6739 +vn 0.9429 0.3329 0.0036 +vn -0.1057 0.2893 0.9514 +vn -0.7378 -0.0406 0.6738 +vn -0.9358 -0.3525 0.0035 +vn -0.5832 -0.4636 -0.6670 +vn 0.1126 -0.3088 -0.9444 +vn 0.7447 0.0210 -0.6670 +vn 0.1784 0.8232 0.5389 +vn 0.1784 0.8232 0.5390 +vn 0.7701 0.6290 0.1062 +vn -0.4838 0.5001 0.7182 +vn -0.8287 -0.1511 0.5390 +vn -0.6541 -0.7489 0.1062 +vn -0.6542 -0.7489 0.1062 +vn -0.0625 -0.9431 -0.3267 +vn -0.0625 -0.9431 -0.3266 +vn 0.5998 -0.6199 -0.5059 +vn 0.9446 0.0312 -0.3266 +vn 0.1756 0.8271 0.5340 +vn 0.7678 0.6327 0.1008 +vn -0.4872 0.5036 0.7134 +vn -0.8324 -0.1481 0.5340 +vn -0.6577 -0.7465 0.1008 +vn -0.0655 -0.9409 -0.3324 +vn 0.5973 -0.6174 -0.5118 +vn 0.9425 0.0343 -0.3324 +vn 0.1735 0.8299 0.5302 +vn 0.7661 0.6354 0.0967 +vn -0.4898 0.5063 0.7098 +vn -0.8352 -0.1459 0.5302 +vn -0.6604 -0.7446 0.0967 +vn -0.0678 -0.9391 -0.3368 +vn 0.5955 -0.6155 -0.5163 +vn 0.9409 0.0367 -0.3368 +vn 0.1775 0.8246 0.5372 +vn 0.7693 0.6303 0.1043 +vn -0.4850 0.5013 0.7166 +vn -0.8300 -0.1501 0.5372 +vn -0.6554 -0.7480 0.1043 +vn -0.0635 -0.9423 -0.3287 +vn 0.5989 -0.6191 -0.5080 +vn 0.9439 0.0323 -0.3287 +vn 0.1777 0.8243 0.5376 +vn 0.7695 0.6300 0.1047 +vn -0.4847 0.5011 0.7169 +vn -0.8297 -0.1503 0.5376 +vn -0.6551 -0.7482 0.1047 +vn -0.0633 -0.9425 -0.3283 +vn 0.5991 -0.6193 -0.5076 +vn 0.9440 0.0321 -0.3282 +vn 0.1744 0.8287 0.5319 +vn 0.7669 0.6342 0.0985 +vn -0.4887 0.5051 0.7114 +vn -0.8340 -0.1469 0.5319 +vn -0.6593 -0.7454 0.0985 +vn -0.0668 -0.9399 -0.3349 +vn 0.5963 -0.6163 -0.5144 +vn 0.9416 0.0357 -0.3349 +vn -0.4850 0.5013 0.7165 +vn -0.0636 -0.9423 -0.3287 +vn -0.4848 0.5011 0.7169 +vn -0.8297 -0.1503 0.5375 +vn -0.0633 -0.9425 -0.3282 +vn 0.5991 -0.6192 -0.5076 +vn 0.9440 0.0321 -0.3283 +vn 0.1746 0.8286 0.5318 +vn -0.4886 0.5051 0.7114 +vn -0.8340 -0.1469 0.5318 +vn -0.6592 -0.7455 0.0985 +vn -0.0667 -0.9399 -0.3349 +vn 0.9416 0.0356 -0.3349 +vn 0.5897 -0.3856 0.7096 +vn 0.6984 -0.7149 0.0343 +vn 0.0908 0.1136 0.9894 +vn -0.5060 0.4903 0.7096 +vn -0.8512 0.5237 0.0343 +vn -0.7425 0.1944 -0.6410 +vn -0.2436 -0.3048 -0.9207 +vn 0.3532 -0.6814 -0.6410 +vn 0.5941 -0.3810 0.7084 +vn 0.7029 -0.7105 0.0326 +vn 0.0948 0.1186 0.9884 +vn -0.5025 0.4956 0.7084 +vn -0.8479 0.5291 0.0326 +vn -0.7392 0.1995 -0.6433 +vn -0.2398 -0.3001 -0.9233 +vn 0.3575 -0.6770 -0.6433 +vn 0.5974 -0.3775 0.7075 +vn 0.7063 -0.7073 0.0313 +vn 0.0978 0.1224 0.9876 +vn -0.4998 0.4996 0.7075 +vn -0.8455 0.5331 0.0313 +vn -0.7366 0.2033 -0.6450 +vn -0.2370 -0.2966 -0.9251 +vn 0.3606 -0.6737 -0.6450 +vn 0.5912 -0.3840 0.7092 +vn 0.7000 -0.7134 0.0337 +vn 0.0922 0.1154 0.9890 +vn -0.5048 0.4921 0.7092 +vn -0.8501 0.5256 0.0337 +vn -0.7413 0.1962 -0.6418 +vn -0.2423 -0.3031 -0.9216 +vn 0.3547 -0.6799 -0.6418 +vn 0.5909 -0.3843 0.7093 +vn 0.6997 -0.7137 0.0338 +vn 0.0919 0.1150 0.9891 +vn -0.5050 0.4918 0.7093 +vn -0.8503 0.5252 0.0338 +vn -0.7416 0.1958 -0.6417 +vn -0.2426 -0.3035 -0.9214 +vn 0.3544 -0.6802 -0.6417 +vn 0.5960 -0.3790 0.7079 +vn 0.7048 -0.7087 0.0318 +vn 0.0965 0.1208 0.9880 +vn -0.5010 0.4978 0.7079 +vn -0.8466 0.5313 0.0318 +vn -0.7377 0.2017 -0.6443 +vn -0.2383 -0.2981 -0.9243 +vn 0.3593 -0.6752 -0.6443 +vn -0.2423 -0.3032 -0.9216 +vn 0.6997 -0.7137 0.0339 +vn -0.5051 0.4918 0.7093 +vn -0.8503 0.5252 0.0339 +vn -0.7416 0.1958 -0.6416 +vn -0.2425 -0.3035 -0.9215 +vn 0.3545 -0.6802 -0.6416 +vn 0.5959 -0.3790 0.7080 +vn 0.7048 -0.7087 0.0319 +vn 0.0965 0.1207 0.9880 +vn -0.7378 0.2017 -0.6442 +vn 0.3594 -0.6751 -0.6442 +vn 0.0529 0.7034 0.7088 +vn 0.1145 0.9934 0.0057 +vn 0.1145 0.9934 0.0058 +vn 0.0065 -0.0002 1.0000 +vn 0.0025 -0.7054 0.7088 +vn 0.0432 -0.9990 0.0058 +vn 0.0432 -0.9990 0.0057 +vn 0.1048 -0.7091 -0.6973 +vn 0.1512 -0.0054 -0.9885 +vn 0.1552 0.6998 -0.6973 +vn 0.0488 0.7038 0.7087 +vn 0.1104 0.9939 0.0054 +vn 0.0024 -0.0001 1.0000 +vn -0.0016 -0.7055 0.7087 +vn 0.0391 -0.9992 0.0054 +vn 0.1008 -0.7092 -0.6978 +vn 0.1472 -0.0053 -0.9891 +vn 0.1512 0.7002 -0.6978 +vn 0.0458 0.7041 0.7086 +vn 0.1075 0.9942 0.0052 +vn -0.0007 0.0000 1.0000 +vn -0.0046 -0.7056 0.7086 +vn 0.0361 -0.9993 0.0052 +vn 0.0978 -0.7092 -0.6982 +vn 0.1442 -0.0052 -0.9895 +vn 0.1482 0.7004 -0.6982 +vn 0.0515 0.7036 0.7088 +vn 0.1131 0.9936 0.0057 +vn 0.0051 -0.0002 1.0000 +vn 0.0011 -0.7055 0.7087 +vn 0.0419 -0.9991 0.0057 +vn 0.1035 -0.7091 -0.6974 +vn 0.1499 -0.0054 -0.9887 +vn 0.1539 0.6999 -0.6975 +vn 0.0517 0.7036 0.7087 +vn 0.1133 0.9935 0.0057 +vn 0.0053 -0.0002 1.0000 +vn 0.0013 -0.7055 0.7087 +vn 0.0420 -0.9991 0.0057 +vn 0.1037 -0.7091 -0.6974 +vn 0.1501 -0.0054 -0.9887 +vn 0.1541 0.6999 -0.6974 +vn 0.0471 0.7040 0.7087 +vn 0.1088 0.9941 0.0053 +vn 0.0007 -0.0000 1.0000 +vn -0.0033 -0.7055 0.7087 +vn 0.0374 -0.9993 0.0053 +vn 0.0991 -0.7092 -0.6980 +vn 0.1455 -0.0052 -0.9893 +vn 0.1495 0.7003 -0.6980 +vn 0.0515 0.7036 0.7087 +vn 0.1131 0.9936 0.0056 +vn 0.0419 -0.9991 0.0056 +vn 0.1539 0.6999 -0.6974 +vn 0.1036 -0.7091 -0.6974 +vn 0.1500 -0.0054 -0.9887 +vn 0.0471 0.7040 0.7086 +vn 0.1088 0.9941 0.0054 +vn 0.0006 -0.0000 1.0000 +vn -0.0033 -0.7056 0.7086 +vn 0.0374 -0.9993 0.0054 +vn 0.5668 0.4811 0.6688 +vn 0.6520 0.7580 -0.0174 +vn 0.2688 -0.1396 0.9530 +vn -0.0675 -0.7404 0.6688 +vn -0.2450 -0.9694 -0.0174 +vn -0.1597 -0.6925 -0.7036 +vn 0.1383 -0.0718 -0.9878 +vn 0.4745 0.5290 -0.7036 +vn 0.5580 0.4877 0.6714 +vn 0.6434 0.7653 -0.0165 +vn 0.2592 -0.1346 0.9564 +vn -0.0779 -0.7370 0.6714 +vn -0.2559 -0.9666 -0.0165 +vn -0.1704 -0.6889 -0.7045 +vn 0.1283 -0.0667 -0.9895 +vn 0.4655 0.5357 -0.7045 +vn 0.5509 0.4929 0.6735 +vn 0.6365 0.7711 -0.0159 +vn 0.2515 -0.1306 0.9590 +vn -0.0863 -0.7342 0.6735 +vn -0.2646 -0.9642 -0.0159 +vn -0.1790 -0.6860 -0.7052 +vn 0.1204 -0.0625 -0.9908 +vn 0.4582 0.5410 -0.7052 +vn 0.5634 0.4836 0.6698 +vn 0.6487 0.7608 -0.0171 +vn 0.2651 -0.1376 0.9543 +vn -0.0715 -0.7391 0.6698 +vn -0.2492 -0.9683 -0.0170 +vn -0.1638 -0.6911 -0.7039 +vn 0.1345 -0.0698 -0.9885 +vn 0.4711 0.5316 -0.7039 +vn 0.5645 0.4828 0.6695 +vn 0.6498 0.7599 -0.0172 +vn 0.2663 -0.1383 0.9539 +vn -0.0701 -0.7395 0.6695 +vn -0.2478 -0.9687 -0.0172 +vn -0.1625 -0.6915 -0.7038 +vn 0.1357 -0.0705 -0.9882 +vn 0.4722 0.5307 -0.7038 +vn 0.5539 0.4907 0.6726 +vn 0.6395 0.7686 -0.0162 +vn 0.2548 -0.1323 0.9579 +vn -0.0827 -0.7354 0.6726 +vn -0.2608 -0.9652 -0.0162 +vn -0.1753 -0.6873 -0.7049 +vn 0.1238 -0.0643 -0.9902 +vn 0.4613 0.5388 -0.7049 +vn 0.6487 0.7608 -0.0170 +vn -0.0702 -0.7395 0.6695 +vn 0.4721 0.5308 -0.7038 +vn 0.5540 0.4906 0.6726 +vn -0.2609 -0.9652 -0.0162 +vn -0.1754 -0.6873 -0.7049 +vn 0.4612 0.5388 -0.7049 +vn -0.7775 -0.0640 0.6257 +vn -0.8913 0.4471 0.0752 +vn -0.1880 -0.4856 0.8537 +vn 0.5317 -0.5709 0.6257 +vn 0.5316 -0.5709 0.6257 +vn 0.9600 -0.2697 0.0752 +vn 0.9600 -0.2698 0.0752 +vn 0.8461 0.2413 -0.4752 +vn 0.2567 0.6630 -0.7032 +vn -0.4630 0.7482 -0.4752 +vn -0.7798 -0.0686 0.6223 +vn -0.8938 0.4428 0.0714 +vn -0.1900 -0.4906 0.8504 +vn 0.5302 -0.5759 0.6223 +vn 0.9589 -0.2745 0.0714 +vn 0.8450 0.2369 -0.4795 +vn 0.2551 0.6589 -0.7076 +vn -0.4651 0.7442 -0.4795 +vn -0.7815 -0.0721 0.6197 +vn -0.8956 0.4396 0.0685 +vn -0.1914 -0.4943 0.8480 +vn 0.5292 -0.5796 0.6197 +vn 0.9581 -0.2781 0.0685 +vn 0.8441 0.2336 -0.4826 +vn 0.2539 0.6558 -0.7109 +vn -0.4667 0.7412 -0.4826 +vn -0.7783 -0.0656 0.6245 +vn -0.8922 0.4456 0.0739 +vn -0.1887 -0.4874 0.8526 +vn 0.5311 -0.5726 0.6245 +vn 0.9596 -0.2714 0.0739 +vn 0.8457 0.2398 -0.4767 +vn 0.2562 0.6616 -0.7048 +vn -0.4637 0.7468 -0.4767 +vn -0.7781 -0.0653 0.6247 +vn -0.8920 0.4459 0.0741 +vn -0.1886 -0.4870 0.8528 +vn 0.5312 -0.5723 0.6247 +vn 0.9597 -0.2711 0.0741 +vn 0.8458 0.2401 -0.4764 +vn 0.2563 0.6618 -0.7045 +vn -0.4635 0.7471 -0.4764 +vn -0.7808 -0.0706 0.6208 +vn -0.8948 0.4410 0.0698 +vn -0.1908 -0.4927 0.8491 +vn 0.5296 -0.5780 0.6208 +vn 0.9585 -0.2766 0.0698 +vn 0.8445 0.2351 -0.4812 +vn 0.2544 0.6572 -0.7095 +vn -0.4660 0.7425 -0.4812 +vn -0.1888 -0.4874 0.8525 +vn -0.1887 -0.4870 0.8528 +vn 0.9597 -0.2710 0.0741 +vn -0.7807 -0.0706 0.6209 +vn -0.8947 0.4411 0.0697 +vn -0.1907 -0.4927 0.8490 +vn 0.5297 -0.5780 0.6208 +vn 0.9585 -0.2765 0.0697 +vn 0.8445 0.2350 -0.4812 +vn 0.2546 0.6571 -0.7095 +vn -0.4658 0.7426 -0.4812 +vn -0.1592 -0.7217 0.6736 +vn -0.4961 -0.8683 0.0021 +vn -0.4960 -0.8683 0.0022 +vn 0.2675 -0.1506 0.9517 +vn 0.5343 0.5106 0.6736 +vn 0.5343 0.5107 0.6736 +vn 0.4847 0.8747 0.0022 +vn 0.4848 0.8746 0.0022 +vn 0.1478 0.7281 -0.6693 +vn 0.1478 0.7282 -0.6693 +vn -0.2790 0.1570 -0.9474 +vn -0.5456 -0.5042 -0.6693 +vn -0.5456 -0.5043 -0.6693 +vn -0.1590 -0.7219 0.6735 +vn -0.4958 -0.8684 0.0021 +vn 0.2678 -0.1507 0.9516 +vn 0.5346 0.5105 0.6735 +vn 0.4850 0.8745 0.0020 +vn 0.1481 0.7280 -0.6694 +vn -0.2787 0.1568 -0.9475 +vn -0.5454 -0.5044 -0.6694 +vn -0.1721 -0.7190 0.6733 +vn -0.5180 -0.8553 0.0084 +vn 0.2726 -0.1608 0.9486 +vn 0.5553 0.4962 0.6674 +vn 0.5063 0.8623 -0.0087 +vn 0.1549 0.7190 -0.6775 +vn -0.2891 0.1557 -0.9445 +vn -0.5663 -0.4944 -0.6595 +vn -0.1807 -0.7094 0.6812 +vn -0.5418 -0.8403 0.0199 +vn 0.2837 -0.1606 0.9454 +vn 0.5783 0.4845 0.6563 +vn 0.5307 0.8474 -0.0160 +vn 0.1689 0.7155 -0.6779 +vn -0.2953 0.1659 -0.9409 +vn -0.5892 -0.4782 -0.6513 +vn -0.1399 -0.7165 0.6834 +vn -0.4742 -0.8804 0.0018 +vn 0.2697 -0.1292 0.9542 +vn 0.5163 0.5275 0.6747 +vn 0.4664 0.8844 0.0161 +vn 0.1486 0.7427 -0.6529 +vn -0.2621 0.1710 -0.9498 +vn -0.5253 -0.5078 -0.6828 +vn -0.0636 -0.7445 0.6645 +vn -0.3046 -0.9513 -0.0479 +vn 0.2076 -0.0992 0.9732 +vn 0.3530 0.5947 0.7222 +vn 0.2964 0.9526 0.0689 +vn 0.0695 0.7774 -0.6252 +vn -0.2038 0.1524 -0.9671 +vn -0.3634 -0.5730 -0.7346 +vn 0.0140 -0.7650 0.6439 +vn -0.1226 -0.9886 -0.0877 +vn 0.1368 -0.0914 0.9864 +vn 0.1758 0.6272 0.7588 +vn 0.1116 0.9883 0.1040 +vn -0.0200 0.7908 -0.6118 +vn -0.1452 0.1333 -0.9804 +vn -0.1893 -0.6112 -0.7685 +vn 0.0466 -0.7810 0.6227 +vn -0.0440 -0.9933 -0.1069 +vn 0.1062 -0.1104 0.9882 +vn 0.0996 0.6246 0.7746 +vn 0.0308 0.9937 0.1080 +vn -0.0601 0.7806 -0.6221 +vn -0.1195 0.1095 -0.9868 +vn -0.1128 -0.6247 -0.7727 +vn 0.0442 -0.7882 0.6139 +vn -0.0475 -0.9927 -0.1108 +vn 0.1072 -0.1227 0.9866 +vn 0.1032 0.6200 0.7778 +vn 0.0338 0.9941 0.1034 +vn -0.0595 0.7732 -0.6313 +vn -0.1208 0.0976 -0.9879 +vn -0.1153 -0.6287 -0.7691 +vn 0.3153 -0.6290 0.7105 +vn 0.3100 -0.6272 0.7145 +vn 0.2598 -0.9650 0.0365 +vn 0.2657 -0.9632 0.0404 +vn 0.1354 0.0475 0.9896 +vn 0.1291 0.0582 0.9899 +vn -0.1745 0.6840 0.7083 +vn -0.1788 0.6924 0.6990 +vn -0.4338 0.9008 0.0167 +vn -0.4329 0.9014 0.0103 +vn -0.4851 0.5572 -0.6739 +vn -0.4834 0.5620 -0.6712 +vn -0.2971 -0.1389 -0.9447 +vn -0.3006 -0.1265 -0.9453 +vn 0.0144 -0.7659 -0.6428 +vn 0.0076 -0.7590 -0.6510 +vn 0.3746 -0.6019 0.7053 +vn 0.3217 -0.9467 0.0136 +vn 0.1545 0.0823 0.9845 +vn -0.2030 0.6899 0.6949 +vn -0.4874 0.8729 0.0212 +vn -0.5384 0.5382 -0.6484 +vn -0.3275 -0.1251 -0.9365 +vn 0.0282 -0.7428 -0.6689 +vn 0.5296 -0.5306 0.6618 +vn 0.4722 -0.8808 -0.0352 +vn 0.2227 0.1124 0.9684 +vn -0.2519 0.6516 0.7155 +vn -0.6158 0.7845 0.0734 +vn -0.6699 0.4498 -0.5906 +vn -0.3846 -0.1660 -0.9080 +vn 0.0867 -0.7207 -0.6879 +vn 0.6660 -0.4396 0.6026 +vn 0.6054 -0.7910 -0.0889 +vn 0.2864 0.1390 0.9480 +vn -0.2930 0.5926 0.7504 +vn -0.7319 0.6659 0.1449 +vn -0.7894 0.3278 -0.5191 +vn -0.4337 -0.2322 -0.8706 +vn 0.1425 -0.6992 -0.7006 +vn 0.7226 -0.3951 0.5672 +vn 0.6623 -0.7412 -0.1096 +vn 0.3271 0.1442 0.9339 +vn -0.2917 0.5607 0.7749 +vn -0.7703 0.6103 0.1849 +vn -0.8304 0.2652 -0.4901 +vn -0.4370 -0.2736 -0.8569 +vn 0.1816 -0.6910 -0.6997 +vn 0.7095 -0.4097 0.5733 +vn 0.6501 -0.7533 -0.0996 +vn 0.3266 0.1367 0.9352 +vn -0.2794 0.5696 0.7730 +vn -0.7541 0.6327 0.1759 +vn -0.8145 0.2852 -0.5052 +vn -0.4243 -0.2665 -0.8654 +vn 0.1826 -0.6954 -0.6950 +vn 0.6879 -0.4278 0.5862 +vn 0.6285 -0.7725 -0.0902 +vn 0.3106 0.1303 0.9416 +vn -0.2831 0.5753 0.7674 +vn -0.7451 0.6462 0.1653 +vn -0.8046 0.3011 -0.5119 +vn -0.4265 -0.2575 -0.8670 +vn 0.1672 -0.7022 -0.6921 +vn 0.6875 -0.4281 0.5866 +vn 0.6281 -0.7729 -0.0902 +vn 0.3099 0.1305 0.9418 +vn -0.2836 0.5754 0.7671 +vn -0.7452 0.6461 0.1651 +vn -0.8046 0.3013 -0.5117 +vn -0.4270 -0.2572 -0.8669 +vn 0.1665 -0.7022 -0.6923 +vn 0.6914 -0.4245 0.5846 +vn 0.6319 -0.7695 -0.0925 +vn 0.3136 0.1343 0.9400 +vn -0.2804 0.5794 0.7653 +vn -0.7420 0.6503 0.1629 +vn -0.8015 0.3053 -0.5142 +vn -0.4238 -0.2536 -0.8695 +vn 0.1700 -0.6987 -0.6949 +vn -0.1601 -0.7402 0.6530 +vn -0.6619 -0.7446 0.0863 +vn 0.3781 -0.2624 0.8878 +vn 0.3782 -0.2624 0.8878 +vn 0.6374 0.4090 0.6530 +vn 0.4659 0.8806 0.0863 +vn -0.0360 0.8763 -0.4804 +vn -0.5742 0.3985 -0.7152 +vn -0.8335 -0.2729 -0.4804 +vn -0.8335 -0.2729 -0.4805 +vn -0.1552 -0.7445 0.6493 +vn -0.6576 -0.7489 0.0819 +vn 0.3836 -0.2662 0.8843 +vn 0.6432 0.4059 0.6493 +vn 0.4714 0.8781 0.0819 +vn -0.0310 0.8737 -0.4854 +vn -0.5698 0.3954 -0.7204 +vn -0.8294 -0.2767 -0.4854 +vn -0.1515 -0.7478 0.6464 +vn -0.6543 -0.7521 0.0786 +vn 0.3878 -0.2691 0.8816 +vn 0.6475 0.4036 0.6464 +vn 0.4756 0.8761 0.0786 +vn -0.0272 0.8718 -0.4891 +vn -0.5664 0.3931 -0.7243 +vn -0.8262 -0.2796 -0.4891 +vn -0.1583 -0.7418 0.6517 +vn -0.6604 -0.7461 0.0847 +vn 0.3801 -0.2638 0.8865 +vn 0.6395 0.4079 0.6517 +vn 0.4679 0.8797 0.0847 +vn -0.0342 0.8754 -0.4822 +vn -0.5727 0.3974 -0.7170 +vn -0.8320 -0.2742 -0.4822 +vn -0.1587 -0.7414 0.6520 +vn -0.6608 -0.7458 0.0851 +vn 0.3797 -0.2635 0.8868 +vn 0.6390 0.4081 0.6520 +vn 0.4674 0.8799 0.0851 +vn -0.0346 0.8756 -0.4818 +vn -0.5730 0.3976 -0.7166 +vn -0.8324 -0.2739 -0.4818 +vn -0.1531 -0.7464 0.6477 +vn -0.6557 -0.7507 0.0801 +vn 0.3859 -0.2678 0.8828 +vn 0.6456 0.4046 0.6477 +vn 0.4738 0.8770 0.0801 +vn -0.0289 0.8726 -0.4875 +vn -0.5679 0.3941 -0.7226 +vn -0.8276 -0.2783 -0.4875 +vn -0.6604 -0.7461 0.0848 +vn 0.4678 0.8798 0.0848 +vn -0.0343 0.8754 -0.4822 +vn -0.1586 -0.7414 0.6520 +vn -0.6607 -0.7458 0.0851 +vn 0.6390 0.4081 0.6521 +vn 0.4674 0.8800 0.0851 +vn -0.5730 0.3977 -0.7166 +vn -0.8323 -0.2739 -0.4818 +vn -0.1530 -0.7463 0.6477 +vn -0.6557 -0.7508 0.0801 +vn 0.6455 0.4046 0.6478 +vn -0.0287 0.8727 -0.4875 +vn -0.5678 0.3942 -0.7227 +vn -0.8275 -0.2783 -0.4875 +vn -0.1871 -0.6831 0.7060 +vn -0.4360 -0.8998 0.0184 +vn 0.1265 -0.0489 0.9908 +vn 0.3211 0.6313 0.7060 +vn 0.2828 0.9590 0.0184 +vn 0.0338 0.7424 -0.6691 +vn -0.2798 0.1082 -0.9539 +vn -0.4744 -0.5720 -0.6691 +vn -0.1832 -0.6849 0.7053 +vn -0.4322 -0.9016 0.0175 +vn 0.1306 -0.0505 0.9902 +vn 0.3253 0.6299 0.7053 +vn 0.2868 0.9578 0.0175 +vn 0.0378 0.7411 -0.6704 +vn -0.2759 0.1067 -0.9552 +vn -0.4706 -0.5737 -0.6704 +vn -0.1803 -0.6862 0.7047 +vn -0.4294 -0.9030 0.0168 +vn 0.1335 -0.0516 0.9897 +vn 0.3283 0.6290 0.7047 +vn 0.2898 0.9569 0.0168 +vn 0.0408 0.7401 -0.6712 +vn -0.2731 0.1056 -0.9562 +vn -0.4678 -0.5750 -0.6712 +vn -0.1858 -0.6837 0.7057 +vn -0.4348 -0.9004 0.0181 +vn 0.1279 -0.0494 0.9906 +vn 0.3225 0.6308 0.7057 +vn 0.2841 0.9586 0.0181 +vn 0.0352 0.7419 -0.6695 +vn -0.2785 0.1077 -0.9544 +vn -0.4731 -0.5726 -0.6695 +vn -0.1859 -0.6836 0.7058 +vn -0.4349 -0.9003 0.0181 +vn 0.1277 -0.0494 0.9906 +vn 0.3223 0.6309 0.7058 +vn 0.2839 0.9587 0.0181 +vn 0.0350 0.7420 -0.6695 +vn -0.2787 0.1078 -0.9543 +vn -0.4733 -0.5725 -0.6695 +vn -0.1815 -0.6856 0.7050 +vn -0.4306 -0.9024 0.0171 +vn 0.1322 -0.0511 0.9899 +vn 0.3269 0.6294 0.7050 +vn 0.2885 0.9573 0.0171 +vn 0.0395 0.7406 -0.6708 +vn -0.2743 0.1061 -0.9558 +vn -0.4690 -0.5745 -0.6708 +vn 0.1278 -0.0494 0.9906 +vn 0.3224 0.6309 0.7057 +vn 0.2840 0.9587 0.0181 +vn 0.1324 -0.0511 0.9899 +vn 0.3271 0.6294 0.7049 +vn 0.2886 0.9573 0.0171 +vn -0.4690 -0.5744 -0.6708 +vn 0.2122 -0.6672 0.7140 +vn 0.0457 -0.9973 0.0568 +vn 0.1618 0.0342 0.9862 +vn 0.1619 0.0342 0.9862 +vn -0.0758 0.6960 0.7140 +vn -0.3616 0.9306 0.0568 +vn -0.5281 0.6005 -0.6004 +vn -0.4778 -0.1009 -0.8727 +vn -0.2401 -0.7628 -0.6004 +vn 0.2206 -0.6665 0.7121 +vn 0.0538 -0.9971 0.0540 +vn 0.1702 0.0359 0.9848 +vn -0.0678 0.6987 0.7121 +vn -0.3540 0.9337 0.0540 +vn -0.5208 0.6031 -0.6042 +vn -0.4704 -0.0994 -0.8769 +vn -0.2324 -0.7622 -0.6042 +vn 0.2270 -0.6659 0.7107 +vn 0.0601 -0.9968 0.0518 +vn 0.1765 0.0373 0.9836 +vn -0.0617 0.7008 0.7107 +vn -0.3482 0.9360 0.0518 +vn -0.5151 0.6050 -0.6071 +vn -0.4647 -0.0982 -0.8800 +vn -0.2264 -0.7617 -0.6071 +vn 0.2152 -0.6670 0.7133 +vn 0.0486 -0.9973 0.0558 +vn 0.1649 0.0348 0.9857 +vn -0.0730 0.6970 0.7133 +vn -0.3589 0.9317 0.0558 +vn -0.5255 0.6014 -0.6018 +vn -0.4751 -0.1004 -0.8742 +vn -0.2373 -0.7626 -0.6018 +vn 0.2144 -0.6670 0.7135 +vn 0.0479 -0.9973 0.0560 +vn 0.1641 0.0347 0.9858 +vn -0.0737 0.6968 0.7135 +vn -0.3596 0.9314 0.0560 +vn -0.5261 0.6012 -0.6015 +vn -0.4758 -0.1005 -0.8738 +vn -0.2380 -0.7626 -0.6015 +vn 0.2242 -0.6662 0.7113 +vn 0.0574 -0.9970 0.0527 +vn 0.1738 0.0367 0.9841 +vn -0.0644 0.6999 0.7113 +vn -0.3507 0.9350 0.0527 +vn -0.5176 0.6042 -0.6059 +vn -0.4671 -0.0987 -0.8787 +vn -0.2290 -0.7619 -0.6058 +vn 0.1648 0.0348 0.9857 +vn -0.0729 0.6970 0.7133 +vn -0.4752 -0.1004 -0.8742 +vn -0.2374 -0.7626 -0.6018 +vn -0.0737 0.6967 0.7135 +vn -0.5262 0.6011 -0.6015 +vn -0.2381 -0.7626 -0.6015 +vn 0.2242 -0.6661 0.7114 +vn 0.1739 0.0367 0.9841 +vn -0.0643 0.6998 0.7114 +vn -0.3508 0.9350 0.0528 +vn -0.5177 0.6041 -0.6059 +vn -0.2290 -0.7618 -0.6060 +vn 0.7484 0.0278 0.6626 +vn 0.7573 0.0214 0.6527 +vn 0.9070 -0.4179 0.0520 +vn 0.9056 -0.4195 0.0624 +vn 0.1315 0.3849 0.9135 +vn 0.1416 0.3757 0.9159 +vn -0.5762 0.4495 0.6826 +vn -0.5753 0.4386 0.6905 +vn -0.9755 0.1906 0.1100 +vn -0.9779 0.1774 0.1109 +vn -0.8402 -0.2470 -0.4827 +vn -0.8334 -0.2579 -0.4888 +vn -0.2345 -0.6138 -0.7538 +vn -0.2207 -0.6150 -0.7570 +vn 0.4951 -0.6881 -0.5304 +vn 0.5014 -0.6818 -0.5326 +vn 0.7574 0.0048 0.6529 +vn 0.8844 -0.4602 0.0781 +vn 0.1620 0.4040 0.9003 +vn -0.5603 0.4969 0.6627 +vn -0.9715 0.2257 0.0728 +vn -0.8239 -0.2455 -0.5108 +vn -0.2187 -0.6364 -0.7397 +vn 0.4829 -0.7234 -0.4934 +vn 0.7237 -0.0226 0.6898 +vn 0.8054 -0.5639 0.1827 +vn 0.1854 0.4850 0.8546 +vn -0.5089 0.6529 0.5610 +vn -0.9301 0.3663 -0.0269 +vn -0.8181 -0.1944 -0.5412 +vn -0.2632 -0.6870 -0.6774 +vn 0.4010 -0.8352 -0.3763 +vn 0.6674 -0.0405 0.7436 +vn 0.6920 -0.6503 0.3135 +vn 0.2069 0.5583 0.8034 +vn -0.4326 0.7867 0.4403 +vn -0.8606 0.4914 -0.1335 +vn -0.8140 -0.1427 -0.5630 +vn -0.3375 -0.7266 -0.5985 +vn 0.2801 -0.9305 -0.2359 +vn 0.6365 -0.0246 0.7709 +vn 0.6367 -0.6714 0.3792 +vn 0.2115 0.6031 0.7691 +vn -0.3899 0.8418 0.3733 +vn -0.8146 0.5503 -0.1833 +vn -0.8129 -0.1000 -0.5738 +vn -0.3858 -0.7258 -0.5695 +vn 0.2140 -0.9611 -0.1748 +vn 0.6451 -0.0128 0.7640 +vn 0.6582 -0.6595 0.3630 +vn 0.2054 0.6038 0.7702 +vn -0.4002 0.8325 0.3831 +vn -0.8212 0.5443 -0.1712 +vn -0.8142 -0.0949 -0.5728 +vn -0.3793 -0.7160 -0.5861 +vn 0.2324 -0.9522 -0.1983 +vn 0.6482 -0.0217 0.7611 +vn 0.6689 -0.6566 0.3485 +vn 0.1977 0.5862 0.7856 +vn -0.4181 0.8114 0.4083 +vn -0.8392 0.5228 -0.1498 +vn -0.8194 -0.1111 -0.5624 +vn -0.3696 -0.7196 -0.5878 +vn 0.2471 -0.9458 -0.2105 +vn 0.6483 -0.0228 0.7610 +vn 0.6688 -0.6569 0.3481 +vn 0.1980 0.5851 0.7865 +vn -0.4186 0.8106 0.4095 +vn -0.8400 0.5216 -0.1492 +vn -0.8194 -0.1123 -0.5621 +vn -0.3690 -0.7202 -0.5874 +vn 0.2474 -0.9458 -0.2104 +vn 0.6543 -0.0188 0.7560 +vn 0.6748 -0.6537 0.3426 +vn 0.2036 0.5898 0.7815 +vn -0.4139 0.8157 0.4041 +vn -0.8360 0.5263 -0.1554 +vn -0.8153 -0.1084 -0.5688 +vn -0.3643 -0.7171 -0.5942 +vn 0.2529 -0.9429 -0.2166 +vn -0.1540 0.8996 0.4088 +vn 0.5574 0.8084 0.1895 +vn 0.5573 0.8084 0.1895 +vn -0.7433 0.4448 0.4996 +vn -0.8655 -0.2895 0.4088 +vn -0.8655 -0.2896 0.4088 +vn -0.4489 -0.8733 0.1895 +vn -0.4488 -0.8733 0.1895 +vn 0.2625 -0.9645 -0.0298 +vn 0.8519 -0.5097 -0.1206 +vn 0.9740 0.2246 -0.0298 +vn -0.1570 0.9030 0.4000 +vn 0.5557 0.8116 0.1803 +vn -0.7476 0.4473 0.4910 +vn -0.8700 -0.2885 0.4000 +vn -0.4525 -0.8734 0.1803 +vn 0.2603 -0.9647 -0.0395 +vn 0.8508 -0.5091 -0.1305 +vn 0.9732 0.2267 -0.0394 +vn -0.1594 0.9056 0.3930 +vn 0.5544 0.8141 0.1730 +vn -0.7508 0.4493 0.4842 +vn -0.8734 -0.2876 0.3930 +vn -0.4553 -0.8734 0.1730 +vn 0.2585 -0.9649 -0.0471 +vn 0.8499 -0.5085 -0.1382 +vn 0.9724 0.2283 -0.0471 +vn -0.1551 0.9008 0.4055 +vn 0.5568 0.8096 0.1861 +vn -0.7449 0.4457 0.4964 +vn -0.8672 -0.2892 0.4055 +vn -0.4502 -0.8733 0.1861 +vn 0.2617 -0.9646 -0.0334 +vn 0.8515 -0.5095 -0.1243 +vn 0.9737 0.2254 -0.0334 +vn -0.1548 0.9005 0.4064 +vn 0.5569 0.8092 0.1871 +vn -0.7445 0.4455 0.4973 +vn -0.8667 -0.2893 0.4064 +vn -0.4498 -0.8733 0.1871 +vn 0.2619 -0.9646 -0.0323 +vn 0.8516 -0.5095 -0.1232 +vn 0.9738 0.2252 -0.0323 +vn -0.1584 0.9045 0.3960 +vn 0.5550 0.8130 0.1761 +vn -0.7494 0.4484 0.4871 +vn -0.8719 -0.2880 0.3960 +vn -0.4541 -0.8734 0.1761 +vn 0.2593 -0.9648 -0.0438 +vn 0.8503 -0.5088 -0.1349 +vn 0.9728 0.2276 -0.0438 +vn -0.1552 0.9008 0.4055 +vn 0.5567 0.8096 0.1861 +vn -0.7445 0.4454 0.4973 +vn -0.8667 -0.2893 0.4065 +vn 0.2619 -0.9645 -0.0323 +vn -0.1583 0.9045 0.3960 +vn 0.5549 0.8130 0.1761 +vn -0.8719 -0.2881 0.3960 +vn -0.4542 -0.8733 0.1761 +vn 0.2594 -0.9648 -0.0438 +vn 0.8503 -0.5087 -0.1349 +vn 0.9728 0.2275 -0.0438 +vn -0.2992 0.7387 0.6040 +vn -0.7099 0.7033 -0.0372 +vn -0.7099 0.7033 -0.0371 +vn 0.3176 0.3780 0.8696 +vn 0.7792 -0.1674 0.6040 +vn 0.8151 -0.5781 -0.0372 +vn 0.4044 -0.6135 -0.6783 +vn -0.2125 -0.2528 -0.9439 +vn -0.2124 -0.2528 -0.9439 +vn -0.6740 0.2926 -0.6783 +vn -0.3021 0.7357 0.6062 +vn -0.7130 0.7003 -0.0352 +vn 0.3150 0.3749 0.8719 +vn 0.7768 -0.1707 0.6062 +vn 0.8127 -0.5816 -0.0352 +vn 0.4018 -0.6170 -0.6767 +vn -0.2152 -0.2562 -0.9424 +vn -0.6770 0.2895 -0.6767 +vn -0.3042 0.7335 0.6078 +vn -0.7152 0.6981 -0.0338 +vn 0.3131 0.3727 0.8736 +vn 0.7750 -0.1731 0.6078 +vn 0.8110 -0.5841 -0.0338 +vn 0.3999 -0.6195 -0.6755 +vn -0.2173 -0.2586 -0.9412 +vn -0.6792 0.2872 -0.6755 +vn -0.3002 0.7377 0.6048 +vn -0.7110 0.7023 -0.0365 +vn 0.3168 0.3770 0.8704 +vn 0.7784 -0.1685 0.6047 +vn 0.8143 -0.5792 -0.0365 +vn 0.4035 -0.6146 -0.6778 +vn -0.2133 -0.2539 -0.9434 +vn -0.6750 0.2916 -0.6778 +vn -0.3000 0.7378 0.6047 +vn -0.7108 0.7024 -0.0366 +vn 0.3169 0.3771 0.8703 +vn 0.7785 -0.1683 0.6047 +vn 0.8145 -0.5791 -0.0366 +vn 0.4037 -0.6145 -0.6779 +vn -0.2132 -0.2538 -0.9435 +vn -0.6748 0.2917 -0.6779 +vn -0.3032 0.7345 0.6071 +vn -0.7142 0.6991 -0.0344 +vn 0.3139 0.3736 0.8728 +vn 0.7758 -0.1721 0.6071 +vn 0.8118 -0.5830 -0.0344 +vn 0.4008 -0.6184 -0.6760 +vn -0.2164 -0.2576 -0.9417 +vn -0.6783 0.2882 -0.6760 +vn -0.3001 0.7377 0.6048 +vn 0.4036 -0.6146 -0.6778 +vn -0.2998 0.7379 0.6047 +vn -0.7107 0.7025 -0.0365 +vn 0.3170 0.3771 0.8702 +vn 0.7785 -0.1684 0.6046 +vn 0.8144 -0.5791 -0.0366 +vn 0.4036 -0.6145 -0.6779 +vn -0.6749 0.2917 -0.6779 +vn -0.3029 0.7346 0.6071 +vn -0.7140 0.6993 -0.0343 +vn 0.3141 0.3736 0.8728 +vn 0.7758 -0.1722 0.6071 +vn 0.8117 -0.5831 -0.0344 +vn 0.4006 -0.6184 -0.6760 +vn -0.2165 -0.2576 -0.9417 +vn -0.6783 0.2881 -0.6759 +vn 0.6843 -0.1655 0.7102 +vn 0.9142 -0.4044 0.0260 +vn 0.9142 -0.4043 0.0260 +vn 0.0339 0.1078 0.9936 +vn -0.6560 0.2555 0.7102 +vn -0.9812 0.1910 0.0260 +vn -0.7513 -0.0478 -0.6582 +vn -0.1009 -0.3212 -0.9416 +vn 0.5890 -0.4688 -0.6582 +vn 0.5890 -0.4689 -0.6582 +vn 0.6865 -0.1601 0.7093 +vn 0.9166 -0.3991 0.0247 +vn 0.0356 0.1134 0.9929 +vn -0.6547 0.2612 0.7093 +vn -0.9802 0.1967 0.0247 +vn -0.7501 -0.0423 -0.6600 +vn -0.0992 -0.3159 -0.9436 +vn 0.5911 -0.4636 -0.6600 +vn 0.6881 -0.1561 0.7087 +vn 0.9183 -0.3952 0.0237 +vn 0.0369 0.1176 0.9924 +vn -0.6537 0.2654 0.7087 +vn -0.9793 0.2009 0.0236 +vn -0.7491 -0.0382 -0.6613 +vn -0.0980 -0.3119 -0.9451 +vn 0.5927 -0.4597 -0.6613 +vn 0.6850 -0.1637 0.7099 +vn 0.9150 -0.4026 0.0255 +vn 0.0345 0.1097 0.9934 +vn -0.6556 0.2574 0.7099 +vn -0.9809 0.1930 0.0255 +vn -0.7509 -0.0460 -0.6588 +vn -0.1003 -0.3193 -0.9423 +vn 0.5897 -0.4671 -0.6589 +vn 0.6849 -0.1640 0.7099 +vn 0.9149 -0.4029 0.0256 +vn 0.0344 0.1094 0.9934 +vn -0.6557 0.2571 0.7099 +vn -0.9809 0.1926 0.0256 +vn -0.7510 -0.0463 -0.6587 +vn -0.1005 -0.3197 -0.9422 +vn 0.5896 -0.4674 -0.6587 +vn 0.6874 -0.1578 0.7089 +vn 0.9175 -0.3969 0.0241 +vn 0.0364 0.1158 0.9926 +vn -0.6541 0.2636 0.7090 +vn -0.9797 0.1990 0.0241 +vn -0.7496 -0.0400 -0.6607 +vn -0.0986 -0.3136 -0.9444 +vn 0.5920 -0.4615 -0.6608 +vn 0.6850 -0.1637 0.7100 +vn 0.0344 0.1097 0.9934 +vn -0.6555 0.2574 0.7099 +vn -0.7509 -0.0460 -0.6589 +vn -0.1004 -0.3193 -0.9423 +vn 0.0343 0.1094 0.9934 +vn -0.7509 -0.0463 -0.6588 +vn -0.1004 -0.3197 -0.9422 +vn 0.5895 -0.4674 -0.6588 +vn 0.6876 -0.1577 0.7088 +vn 0.9176 -0.3969 0.0240 +vn -0.6542 0.2636 0.7089 +vn -0.7493 -0.0401 -0.6610 +vn -0.0984 -0.3136 -0.9444 +vn 0.5918 -0.4615 -0.6609 +vn -0.7138 -0.2465 0.6556 +vn -0.7139 -0.2465 0.6554 +vn -0.9995 0.0323 0.0023 +vn -0.9995 0.0322 0.0024 +vn -0.0100 -0.3774 0.9260 +vn -0.0101 -0.3774 0.9260 +vn 0.6997 -0.2839 0.6556 +vn 0.6998 -0.2839 0.6555 +vn 0.9998 -0.0206 0.0025 +vn 0.9998 -0.0206 0.0024 +vn 0.7142 0.2581 -0.6507 +vn 0.7142 0.2581 -0.6506 +vn 0.0102 0.3891 -0.9212 +vn 0.0103 0.3891 -0.9212 +vn -0.6995 0.2955 -0.6507 +vn -0.6995 0.2955 -0.6506 +vn -0.7140 -0.2467 0.6552 +vn -0.9995 0.0319 0.0023 +vn -0.0101 -0.3777 0.9259 +vn 0.6999 -0.2841 0.6553 +vn 0.9998 -0.0209 0.0023 +vn 0.7142 0.2578 -0.6508 +vn 0.0102 0.3887 -0.9213 +vn -0.6996 0.2952 -0.6507 +vn -0.7139 -0.2470 0.6553 +vn -0.9995 0.0317 0.0023 +vn -0.0098 -0.3779 0.9258 +vn 0.6999 -0.2843 0.6552 +vn 0.9998 -0.0212 0.0024 +vn 0.7141 0.2576 -0.6509 +vn 0.0102 0.3885 -0.9214 +vn -0.6995 0.2950 -0.6509 +vn -0.7139 -0.2466 0.6554 +vn -0.0097 -0.3775 0.9260 +vn 0.7000 -0.2839 0.6553 +vn 0.9998 -0.0207 0.0025 +vn 0.7142 0.2580 -0.6506 +vn 0.0103 0.3890 -0.9212 +vn -0.6996 0.2954 -0.6507 +vn -0.7140 -0.2465 0.6553 +vn -0.9995 0.0321 0.0024 +vn -0.0099 -0.3775 0.9260 +vn 0.6999 -0.2839 0.6553 +vn 0.9998 -0.0207 0.0024 +vn 0.7143 0.2580 -0.6506 +vn 0.0102 0.3890 -0.9212 +vn -0.6997 0.2953 -0.6505 +vn -0.7140 -0.2469 0.6552 +vn -0.9995 0.0318 0.0022 +vn -0.0101 -0.3778 0.9258 +vn 0.6999 -0.2842 0.6552 +vn 0.9998 -0.0210 0.0022 +vn 0.7141 0.2577 -0.6509 +vn 0.0103 0.3886 -0.9213 +vn -0.6995 0.2951 -0.6509 +vn -0.9995 0.0322 0.0023 +vn -0.0101 -0.3775 0.9259 +vn 0.6999 -0.2839 0.6554 +vn 0.7140 0.2581 -0.6509 +vn -0.6993 0.2955 -0.6509 +vn -0.7137 -0.2466 0.6556 +vn -0.9995 0.0321 0.0025 +vn -0.0100 -0.3775 0.9260 +vn 0.6996 -0.2840 0.6556 +vn 0.7139 0.2581 -0.6509 +vn -0.6992 0.2955 -0.6509 +vn -0.7135 -0.2470 0.6556 +vn -0.0100 -0.3778 0.9258 +vn 0.6994 -0.2844 0.6557 +vn 0.9998 -0.0211 0.0024 +vn 0.7137 0.2578 -0.6512 +vn 0.0104 0.3886 -0.9214 +vn -0.6991 0.2952 -0.6513 +vn -0.6581 0.2952 0.6926 +vn -0.7622 0.6469 0.0233 +vn -0.1442 -0.1963 0.9699 +vn 0.4785 -0.5397 0.6926 +vn 0.8453 -0.5338 0.0233 +vn 0.7412 -0.1821 -0.6461 +vn 0.2273 0.3094 -0.9234 +vn -0.3954 0.6528 -0.6461 +vn -0.6605 0.2924 0.6916 +vn -0.7646 0.6442 0.0221 +vn -0.1464 -0.1993 0.9689 +vn 0.4765 -0.5428 0.6916 +vn 0.8434 -0.5369 0.0221 +vn 0.7393 -0.1851 -0.6475 +vn 0.2252 0.3066 -0.9248 +vn -0.3977 0.6500 -0.6475 +vn -0.6622 0.2903 0.6909 +vn -0.7663 0.6421 0.0212 +vn -0.1480 -0.2015 0.9683 +vn 0.4750 -0.5450 0.6909 +vn 0.8419 -0.5391 0.0212 +vn 0.7378 -0.1873 -0.6485 +vn 0.2237 0.3045 -0.9259 +vn -0.3994 0.6480 -0.6485 +vn -0.6589 0.2943 0.6923 +vn -0.7630 0.6460 0.0229 +vn -0.1449 -0.1973 0.9696 +vn 0.4779 -0.5407 0.6923 +vn 0.8447 -0.5348 0.0229 +vn 0.7406 -0.1831 -0.6466 +vn 0.2266 0.3085 -0.9238 +vn -0.3962 0.6519 -0.6466 +vn -0.6588 0.2944 0.6923 +vn -0.7629 0.6461 0.0229 +vn -0.1448 -0.1972 0.9696 +vn 0.4780 -0.5406 0.6923 +vn 0.8447 -0.5347 0.0229 +vn 0.7407 -0.1830 -0.6465 +vn 0.2267 0.3086 -0.9238 +vn -0.3961 0.6520 -0.6465 +vn -0.6615 0.2912 0.6912 +vn -0.7655 0.6430 0.0215 +vn -0.1473 -0.2005 0.9686 +vn 0.4757 -0.5440 0.6912 +vn 0.8426 -0.5382 0.0216 +vn 0.7385 -0.1863 -0.6480 +vn 0.2243 0.3054 -0.9254 +vn -0.3986 0.6489 -0.6481 +vn -0.1448 -0.1973 0.9696 +vn 0.8446 -0.5348 0.0229 +vn -0.1447 -0.1971 0.9696 +vn 0.4781 -0.5405 0.6923 +vn 0.7407 -0.1830 -0.6464 +vn 0.2266 0.3086 -0.9238 +vn -0.3962 0.6520 -0.6464 +vn -0.6615 0.2912 0.6911 +vn -0.1472 -0.2005 0.9686 +vn 0.4760 -0.5440 0.6911 +vn 0.8426 -0.5381 0.0215 +vn 0.7386 -0.1863 -0.6479 +vn 0.2242 0.3054 -0.9254 +vn -0.3989 0.6489 -0.6480 +vn -0.6506 -0.3178 0.6898 +vn -0.6506 -0.3177 0.6898 +vn -0.8365 -0.5478 -0.0097 +vn -0.1304 0.1536 0.9795 +vn 0.4194 0.5902 0.6898 +vn 0.6767 0.7362 -0.0097 +vn 0.4908 0.5061 -0.7092 +vn -0.0295 0.0347 -0.9990 +vn -0.5793 -0.4018 -0.7092 +vn -0.5792 -0.4018 -0.7092 +vn -0.6470 -0.3228 0.6908 +vn -0.8330 -0.5531 -0.0092 +vn -0.1264 0.1489 0.9807 +vn 0.4238 0.5858 0.6908 +vn 0.6813 0.7319 -0.0092 +vn 0.4952 0.5017 -0.7093 +vn -0.0254 0.0299 -0.9992 +vn -0.5756 -0.4070 -0.7093 +vn -0.6442 -0.3267 0.6916 +vn -0.8304 -0.5571 -0.0089 +vn -0.1233 0.1453 0.9817 +vn 0.4272 0.5825 0.6916 +vn 0.6848 0.7287 -0.0089 +vn 0.4986 0.4983 -0.7093 +vn -0.0223 0.0263 -0.9994 +vn -0.5728 -0.4109 -0.7093 +vn -0.6494 -0.3195 0.6901 +vn -0.8353 -0.5497 -0.0096 +vn -0.1290 0.1520 0.9799 +vn 0.4209 0.5887 0.6901 +vn 0.6783 0.7347 -0.0096 +vn 0.4923 0.5046 -0.7093 +vn -0.0281 0.0331 -0.9991 +vn -0.5780 -0.4036 -0.7092 +vn -0.6496 -0.3192 0.6900 +vn -0.8356 -0.5493 -0.0096 +vn -0.1292 0.1523 0.9798 +vn 0.4206 0.5890 0.6900 +vn 0.6780 0.7350 -0.0096 +vn 0.4920 0.5049 -0.7093 +vn -0.0283 0.0334 -0.9990 +vn -0.5782 -0.4033 -0.7092 +vn -0.6454 -0.3250 0.6912 +vn -0.8316 -0.5553 -0.0090 +vn -0.1246 0.1469 0.9813 +vn 0.4257 0.5839 0.6912 +vn 0.6832 0.7301 -0.0090 +vn 0.4971 0.4998 -0.7093 +vn -0.0236 0.0279 -0.9993 +vn -0.5740 -0.4092 -0.7093 +vn -0.6493 -0.3195 0.6901 +vn 0.6782 0.7348 -0.0096 +vn 0.4923 0.5046 -0.7092 +vn -0.0280 0.0331 -0.9991 +vn -0.6496 -0.3191 0.6900 +vn -0.1293 0.1523 0.9798 +vn 0.4206 0.5889 0.6901 +vn 0.4920 0.5048 -0.7093 +vn -0.5783 -0.4032 -0.7092 +vn -0.6455 -0.3249 0.6912 +vn -0.8316 -0.5552 -0.0091 +vn 0.4257 0.5839 0.6913 +vn 0.6833 0.7301 -0.0091 +vn 0.4971 0.4997 -0.7094 +vn -0.0238 0.0279 -0.9993 +vn -0.5741 -0.4091 -0.7092 +vn -0.7547 -0.1417 0.6406 +vn -0.8958 -0.4428 -0.0378 +vn -0.2243 0.3169 0.9215 +vn -0.2242 0.3169 0.9216 +vn 0.3848 0.6645 0.6406 +vn 0.7156 0.6974 -0.0378 +vn 0.7156 0.6975 -0.0378 +vn 0.5745 0.3964 -0.7161 +vn 0.0440 -0.0623 -0.9971 +vn 0.0441 -0.0623 -0.9971 +vn -0.5650 -0.4099 -0.7161 +vn -0.7510 -0.1484 0.6434 +vn -0.8924 -0.4499 -0.0359 +vn -0.2199 0.3108 0.9247 +vn 0.3898 0.6589 0.6433 +vn 0.7212 0.6918 -0.0359 +vn 0.5799 0.3904 -0.7151 +vn 0.0488 -0.0689 -0.9964 +vn -0.5611 -0.4169 -0.7151 +vn -0.7482 -0.1536 0.6454 +vn -0.8897 -0.4553 -0.0344 +vn -0.2166 0.3061 0.9270 +vn 0.3938 0.6545 0.6454 +vn 0.7254 0.6875 -0.0344 +vn 0.5840 0.3857 -0.7143 +vn 0.0523 -0.0740 -0.9959 +vn -0.5581 -0.4223 -0.7143 +vn -0.7534 -0.1441 0.6416 +vn -0.8946 -0.4453 -0.0371 +vn -0.2227 0.3148 0.9227 +vn 0.3866 0.6625 0.6416 +vn 0.7176 0.6954 -0.0371 +vn 0.5765 0.3942 -0.7157 +vn 0.0457 -0.0647 -0.9969 +vn -0.5636 -0.4124 -0.7158 +vn -0.7537 -0.1436 0.6413 +vn -0.8949 -0.4447 -0.0373 +vn -0.2231 0.3153 0.9224 +vn 0.3862 0.6630 0.6413 +vn 0.7172 0.6959 -0.0373 +vn 0.5760 0.3948 -0.7158 +vn 0.0453 -0.0641 -0.9969 +vn -0.5639 -0.4118 -0.7158 +vn -0.7495 -0.1513 0.6445 +vn -0.8908 -0.4530 -0.0351 +vn -0.2181 0.3082 0.9260 +vn 0.3921 0.6564 0.6445 +vn 0.7235 0.6894 -0.0351 +vn 0.5822 0.3878 -0.7146 +vn 0.0508 -0.0717 -0.9961 +vn -0.5594 -0.4200 -0.7146 +vn -0.7534 -0.1441 0.6415 +vn -0.8946 -0.4454 -0.0371 +vn 0.7176 0.6955 -0.0371 +vn 0.5764 0.3942 -0.7157 +vn 0.0458 -0.0647 -0.9969 +vn -0.5636 -0.4124 -0.7157 +vn -0.7538 -0.1435 0.6413 +vn -0.2230 0.3153 0.9224 +vn 0.3863 0.6630 0.6413 +vn 0.7171 0.6960 -0.0373 +vn -0.5640 -0.4118 -0.7158 +vn -0.7494 -0.1513 0.6446 +vn -0.8909 -0.4529 -0.0351 +vn -0.2178 0.3082 0.9261 +vn 0.3922 0.6564 0.6445 +vn 0.0507 -0.0717 -0.9961 +vn -0.5594 -0.4199 -0.7146 +vn 0.8318 0.3662 0.4171 +vn 0.9509 -0.3019 0.0684 +vn 0.2194 0.7978 0.5615 +vn -0.5276 0.7401 0.4171 +vn -0.9715 0.2268 0.0684 +vn -0.8524 -0.4413 -0.2803 +vn -0.2401 -0.8729 -0.4247 +vn 0.5069 -0.8152 -0.2803 +vn 0.8326 0.3683 0.4137 +vn 0.9517 -0.3000 0.0649 +vn 0.2200 0.8000 0.5581 +vn -0.5272 0.7423 0.4137 +vn -0.9713 0.2288 0.0649 +vn -0.8522 -0.4395 -0.2839 +vn -0.2396 -0.8712 -0.4284 +vn 0.5076 -0.8135 -0.2839 +vn 0.8332 0.3698 0.4112 +vn 0.9523 -0.2987 0.0623 +vn 0.2204 0.8016 0.5557 +vn -0.5269 0.7438 0.4112 +vn -0.9711 0.2303 0.0623 +vn -0.8520 -0.4382 -0.2866 +vn -0.2393 -0.8700 -0.4311 +vn 0.5081 -0.8122 -0.2866 +vn 0.8321 0.3669 0.4160 +vn 0.9512 -0.3013 0.0672 +vn 0.2196 0.7986 0.5604 +vn -0.5274 0.7408 0.4160 +vn -0.9715 0.2275 0.0672 +vn -0.8524 -0.4407 -0.2815 +vn -0.2399 -0.8724 -0.4259 +vn 0.5071 -0.8146 -0.2815 +vn 0.8320 0.3668 0.4161 +vn 0.9511 -0.3013 0.0674 +vn 0.2196 0.7985 0.5606 +vn -0.5274 0.7407 0.4161 +vn -0.9715 0.2274 0.0674 +vn -0.8524 -0.4408 -0.2813 +vn -0.2399 -0.8724 -0.4258 +vn 0.5071 -0.8147 -0.2813 +vn 0.8329 0.3692 0.4123 +vn 0.9521 -0.2993 0.0634 +vn 0.2203 0.8009 0.5568 +vn -0.5270 0.7431 0.4123 +vn -0.9712 0.2296 0.0634 +vn -0.8521 -0.4388 -0.2854 +vn -0.2394 -0.8705 -0.4299 +vn 0.5079 -0.8128 -0.2854 +vn 0.9512 -0.3012 0.0673 +vn 0.5072 -0.8146 -0.2815 +vn 0.2195 0.7985 0.5606 +vn -0.5275 0.7407 0.4161 +vn 0.5072 -0.8146 -0.2813 +vn 0.8329 0.3691 0.4123 +vn 0.9520 -0.2994 0.0634 +vn 0.2201 0.8009 0.5568 +vn -0.5273 0.7430 0.4122 +vn -0.9713 0.2295 0.0633 +vn -0.8521 -0.4387 -0.2854 +vn 0.5079 -0.8127 -0.2854 +vn -0.6878 0.3094 0.6567 +vn -0.6197 0.7821 0.0660 +vn -0.3099 -0.3025 0.9014 +vn 0.2927 -0.6950 0.6567 +vn 0.2927 -0.6951 0.6567 +vn 0.7669 -0.6384 0.0660 +vn 0.8350 -0.1657 -0.5247 +vn 0.4571 0.4462 -0.7694 +vn -0.1455 0.8388 -0.5247 +vn -0.6916 0.3065 0.6540 +vn -0.6235 0.7792 0.0632 +vn -0.3140 -0.3059 0.8988 +vn 0.2886 -0.6993 0.6539 +vn 0.7633 -0.6430 0.0625 +vn 0.8315 -0.1697 -0.5290 +vn 0.4532 0.4430 -0.7735 +vn -0.1495 0.8359 -0.5281 +vn -0.7087 0.2910 0.6427 +vn -0.6398 0.7670 0.0483 +vn -0.3205 -0.3171 0.8926 +vn 0.2928 -0.6981 0.6534 +vn 0.7715 -0.6324 0.0695 +vn 0.8396 -0.1611 -0.5188 +vn 0.4576 0.4429 -0.7710 +vn -0.1548 0.8287 -0.5379 +vn -0.7217 0.2819 0.6322 +vn -0.6528 0.7565 0.0404 +vn -0.3267 -0.3154 0.8909 +vn 0.2993 -0.6837 0.6656 +vn 0.7883 -0.6086 0.0909 +vn 0.8567 -0.1367 -0.4973 +vn 0.4650 0.4579 -0.7577 +vn -0.1604 0.8289 -0.5359 +vn -0.6806 0.3196 0.6592 +vn -0.6139 0.7856 0.0767 +vn -0.3161 -0.2908 0.9030 +vn 0.2786 -0.6961 0.6617 +vn 0.7576 -0.6496 0.0640 +vn 0.8269 -0.1698 -0.5361 +vn 0.4439 0.4518 -0.7738 +vn -0.1533 0.8434 -0.5149 +vn -0.5665 0.3907 0.7256 +vn -0.5024 0.8524 0.1448 +vn -0.2630 -0.2627 0.9283 +vn 0.2448 -0.7394 0.6271 +vn 0.6637 -0.7477 -0.0210 +vn 0.7313 -0.2658 -0.6281 +vn 0.4052 0.4082 -0.8180 +vn -0.1062 0.8649 -0.4906 +vn -0.4231 0.4489 0.7870 +vn -0.3615 0.9097 0.2042 +vn -0.1875 -0.2429 0.9518 +vn 0.2177 -0.7752 0.5930 +vn 0.5575 -0.8246 -0.0961 +vn 0.6219 -0.3461 -0.7025 +vn 0.3709 0.3667 -0.8532 +vn -0.0370 0.8813 -0.4710 +vn -0.3567 0.4625 0.8117 +vn -0.2953 0.9301 0.2185 +vn -0.1485 -0.2527 0.9561 +vn 0.2086 -0.7983 0.5650 +vn 0.5049 -0.8527 -0.1338 +vn 0.5665 -0.3833 -0.7295 +vn 0.3572 0.3342 -0.8722 +vn 0.0001 0.8780 -0.4786 +vn -0.3638 0.4563 0.8120 +vn -0.3015 0.9298 0.2109 +vn -0.1507 -0.2658 0.9522 +vn 0.2085 -0.8059 0.5542 +vn 0.5019 -0.8535 -0.1402 +vn 0.5626 -0.3889 -0.7295 +vn 0.3564 0.3223 -0.8770 +vn -0.0011 0.8713 -0.4908 +vn -0.1379 -0.7689 0.6243 +vn -0.1380 -0.7689 0.6243 +vn -0.6502 -0.7573 0.0611 +vn 0.4164 -0.3021 0.8575 +vn 0.4164 -0.3020 0.8575 +vn 0.6881 0.3698 0.6243 +vn 0.5180 0.8532 0.0611 +vn 0.0058 0.8648 -0.5021 +vn -0.5486 0.3979 -0.7353 +vn -0.8203 -0.2740 -0.5021 +vn -0.1346 -0.7718 0.6214 +vn -0.6471 -0.7602 0.0580 +vn 0.4200 -0.3047 0.8548 +vn 0.6919 0.3676 0.6214 +vn 0.5217 0.8511 0.0580 +vn 0.0092 0.8628 -0.5055 +vn -0.5454 0.3957 -0.7389 +vn -0.8173 -0.2766 -0.5055 +vn -0.1321 -0.7740 0.6193 +vn -0.6448 -0.7623 0.0557 +vn 0.4227 -0.3066 0.8528 +vn 0.6947 0.3659 0.6193 +vn 0.5244 0.8496 0.0557 +vn 0.0117 0.8613 -0.5080 +vn -0.5431 0.3940 -0.7415 +vn -0.8151 -0.2785 -0.5080 +vn -0.1368 -0.7699 0.6233 +vn -0.6492 -0.7583 0.0601 +vn 0.4176 -0.3030 0.8566 +vn 0.6894 0.3691 0.6233 +vn 0.5193 0.8525 0.0601 +vn 0.0069 0.8641 -0.5032 +vn -0.5475 0.3972 -0.7365 +vn -0.8193 -0.2748 -0.5032 +vn -0.1370 -0.7698 0.6235 +vn -0.6493 -0.7581 0.0602 +vn 0.4174 -0.3028 0.8568 +vn 0.6892 0.3692 0.6235 +vn 0.5191 0.8526 0.0602 +vn 0.0067 0.8642 -0.5030 +vn -0.5477 0.3973 -0.7363 +vn -0.8195 -0.2747 -0.5030 +vn -0.1332 -0.7730 0.6203 +vn -0.6458 -0.7614 0.0567 +vn 0.4215 -0.3058 0.8537 +vn 0.6935 0.3666 0.6203 +vn 0.5232 0.8503 0.0567 +vn 0.0106 0.8619 -0.5069 +vn -0.5441 0.3947 -0.7404 +vn -0.8161 -0.2777 -0.5069 +vn -0.1369 -0.7699 0.6233 +vn -0.8193 -0.2749 -0.5032 +vn -0.1371 -0.7698 0.6234 +vn -0.6494 -0.7581 0.0602 +vn 0.4175 -0.3028 0.8568 +vn 0.6892 0.3692 0.6234 +vn 0.5190 0.8526 0.0602 +vn 0.0067 0.8643 -0.5030 +vn -0.8194 -0.2748 -0.5030 +vn -0.1334 -0.7730 0.6202 +vn -0.6459 -0.7613 0.0566 +vn 0.4216 -0.3058 0.8537 +vn 0.6935 0.3665 0.6202 +vn 0.0106 0.8620 -0.5069 +vn -0.5442 0.3947 -0.7403 +vn -0.8161 -0.2779 -0.5068 +vn 0.0457 0.7113 0.7014 +vn 0.0257 0.9996 0.0070 +vn 0.1462 0.0237 0.9890 +vn 0.2681 -0.6604 0.7014 +vn 0.2681 -0.6605 0.7014 +vn 0.3401 -0.9404 0.0070 +vn 0.3201 -0.6520 -0.6873 +vn 0.3200 -0.6520 -0.6873 +vn 0.2196 0.0356 -0.9749 +vn 0.0977 0.7197 -0.6873 +vn 0.0977 0.7198 -0.6873 +vn 0.0365 0.7110 0.7022 +vn 0.0164 0.9998 0.0067 +vn 0.1371 0.0222 0.9903 +vn 0.2592 -0.6631 0.7022 +vn 0.3314 -0.9435 0.0067 +vn 0.3112 -0.6547 -0.6889 +vn 0.2106 0.0341 -0.9770 +vn 0.0885 0.7195 -0.6889 +vn 0.0293 0.7108 0.7028 +vn 0.0091 0.9999 0.0064 +vn 0.1300 0.0211 0.9913 +vn 0.2523 -0.6651 0.7028 +vn 0.3245 -0.9458 0.0064 +vn 0.3044 -0.6567 -0.6900 +vn 0.2036 0.0330 -0.9785 +vn 0.0814 0.7192 -0.6900 +vn 0.0424 0.7112 0.7017 +vn 0.0222 0.9997 0.0069 +vn 0.1428 0.0232 0.9895 +vn 0.2648 -0.6614 0.7017 +vn 0.3369 -0.9415 0.0069 +vn 0.3168 -0.6530 -0.6879 +vn 0.2163 0.0351 -0.9757 +vn 0.0943 0.7196 -0.6879 +vn 0.0433 0.7113 0.7016 +vn 0.0232 0.9997 0.0069 +vn 0.1437 0.0233 0.9893 +vn 0.2657 -0.6612 0.7016 +vn 0.3378 -0.9412 0.0069 +vn 0.3177 -0.6527 -0.6877 +vn 0.2172 0.0352 -0.9755 +vn 0.0952 0.7197 -0.6877 +vn 0.0324 0.7109 0.7026 +vn 0.0123 0.9999 0.0065 +vn 0.1331 0.0216 0.9909 +vn 0.2553 -0.6643 0.7026 +vn 0.3275 -0.9448 0.0065 +vn 0.3074 -0.6558 -0.6895 +vn 0.2067 0.0335 -0.9778 +vn 0.0845 0.7193 -0.6895 +vn 0.0423 0.7112 0.7017 +vn 0.1429 0.0232 0.9895 +vn 0.2649 -0.6614 0.7017 +vn 0.0433 0.7112 0.7016 +vn 0.1438 0.0233 0.9893 +vn 0.2657 -0.6611 0.7016 +vn 0.3377 -0.9412 0.0069 +vn 0.3177 -0.6527 -0.6878 +vn 0.0952 0.7196 -0.6878 +vn 0.0324 0.7108 0.7027 +vn 0.2553 -0.6642 0.7026 +vn 0.3073 -0.6558 -0.6896 +vn 0.0845 0.7193 -0.6896 +vn 0.5336 0.5348 0.6552 +vn 0.9504 0.3046 0.0627 +vn 0.9504 0.3045 0.0627 +vn -0.1728 0.3987 0.9006 +vn -0.7551 -0.0238 0.6552 +vn -0.8721 -0.4854 0.0627 +vn -0.8720 -0.4854 0.0627 +vn -0.4552 -0.7156 -0.5298 +vn 0.2512 -0.5796 -0.7752 +vn 0.8335 -0.1570 -0.5298 +vn 0.5319 0.5398 0.6524 +vn 0.9491 0.3094 0.0595 +vn -0.1750 0.4037 0.8980 +vn -0.7576 -0.0192 0.6524 +vn -0.8747 -0.4811 0.0595 +vn -0.4576 -0.7114 -0.5334 +vn 0.2493 -0.5753 -0.7790 +vn 0.8320 -0.1525 -0.5334 +vn 0.5307 0.5436 0.6503 +vn 0.9480 0.3131 0.0571 +vn -0.1766 0.4074 0.8960 +vn -0.7595 -0.0157 0.6503 +vn -0.8766 -0.4778 0.0571 +vn -0.4593 -0.7083 -0.5361 +vn 0.2480 -0.5721 -0.7818 +vn 0.8309 -0.1491 -0.5361 +vn 0.5330 0.5365 0.6543 +vn 0.9500 0.3062 0.0616 +vn -0.1736 0.4004 0.8997 +vn -0.7559 -0.0222 0.6543 +vn -0.8729 -0.4839 0.0616 +vn -0.4560 -0.7142 -0.5311 +vn 0.2506 -0.5781 -0.7765 +vn 0.8330 -0.1555 -0.5310 +vn 0.5331 0.5362 0.6544 +vn 0.9500 0.3059 0.0618 +vn -0.1734 0.4001 0.8999 +vn -0.7558 -0.0225 0.6544 +vn -0.8728 -0.4842 0.0618 +vn -0.4559 -0.7144 -0.5308 +vn 0.2507 -0.5784 -0.7763 +vn 0.8331 -0.1557 -0.5308 +vn 0.5313 0.5419 0.6512 +vn 0.9485 0.3115 0.0581 +vn -0.1759 0.4058 0.8969 +vn -0.7587 -0.0172 0.6512 +vn -0.8758 -0.4792 0.0581 +vn -0.4585 -0.7097 -0.5349 +vn 0.2486 -0.5735 -0.7806 +vn 0.8314 -0.1505 -0.5349 +vn 0.5330 0.5365 0.6542 +vn 0.9500 0.3063 0.0616 +vn -0.1735 0.4004 0.8997 +vn -0.7560 -0.0222 0.6542 +vn -0.4560 -0.7142 -0.5310 +vn 0.8330 -0.1555 -0.5311 +vn 0.5332 0.5362 0.6544 +vn 0.9500 0.3059 0.0619 +vn -0.1733 0.4001 0.8999 +vn -0.7558 -0.0225 0.6545 +vn -0.4560 -0.7144 -0.5308 +vn 0.8331 -0.1557 -0.5307 +vn 0.9485 0.3114 0.0581 +vn -0.1756 0.4057 0.8970 +vn -0.7586 -0.0172 0.6513 +vn -0.8758 -0.4792 0.0580 +vn -0.4588 -0.7096 -0.5348 +vn 0.8316 -0.1504 -0.5347 +vn -0.3454 0.7757 0.5281 +vn -0.7795 0.6221 -0.0733 +vn 0.3287 0.5365 0.7772 +vn 0.8480 0.0447 0.5281 +vn 0.9083 -0.4118 -0.0733 +vn 0.9083 -0.4118 -0.0734 +vn 0.4743 -0.5654 -0.6748 +vn -0.1998 -0.3262 -0.9239 +vn -0.7192 0.1657 -0.6748 +vn -0.7191 0.1657 -0.6748 +vn -0.3491 0.7711 0.5324 +vn -0.7836 0.6174 -0.0697 +vn 0.3257 0.5317 0.7818 +vn 0.8456 0.0393 0.5324 +vn 0.9059 -0.4176 -0.0697 +vn 0.4715 -0.5714 -0.6717 +vn -0.2034 -0.3319 -0.9211 +vn -0.7232 0.1605 -0.6718 +vn -0.3519 0.7676 0.5357 +vn -0.7867 0.6137 -0.0669 +vn 0.3234 0.5280 0.7852 +vn 0.8437 0.0352 0.5357 +vn 0.9041 -0.4220 -0.0669 +vn 0.4693 -0.5759 -0.6694 +vn -0.2060 -0.3363 -0.9189 +vn -0.7263 0.1565 -0.6694 +vn -0.3467 0.7741 0.5296 +vn -0.7809 0.6205 -0.0720 +vn 0.3276 0.5349 0.7788 +vn 0.8472 0.0428 0.5296 +vn 0.9075 -0.4138 -0.0721 +vn 0.4733 -0.5675 -0.6737 +vn -0.2011 -0.3282 -0.9229 +vn -0.7206 0.1638 -0.6737 +vn -0.3464 0.7745 0.5293 +vn -0.7806 0.6208 -0.0723 +vn 0.3279 0.5352 0.7785 +vn 0.8473 0.0432 0.5293 +vn 0.9077 -0.4134 -0.0724 +vn 0.4735 -0.5671 -0.6740 +vn -0.2008 -0.3278 -0.9232 +vn -0.7203 0.1643 -0.6740 +vn -0.3507 0.7691 0.5343 +vn -0.7853 0.6153 -0.0681 +vn 0.3244 0.5296 0.7837 +vn 0.8445 0.0370 0.5342 +vn 0.9049 -0.4201 -0.0681 +vn 0.4702 -0.5740 -0.6704 +vn -0.2049 -0.3344 -0.9199 +vn -0.7249 0.1582 -0.6704 +vn -0.7809 0.6205 -0.0721 +vn 0.3277 0.5348 0.7788 +vn 0.8472 0.0427 0.5296 +vn 0.9075 -0.4139 -0.0721 +vn -0.7206 0.1639 -0.6737 +vn -0.3465 0.7745 0.5293 +vn -0.7806 0.6209 -0.0723 +vn 0.8473 0.0431 0.5293 +vn 0.9076 -0.4135 -0.0723 +vn -0.3507 0.7692 0.5342 +vn -0.7853 0.6154 -0.0681 +vn 0.3243 0.5296 0.7838 +vn 0.8445 0.0369 0.5343 +vn 0.9049 -0.4202 -0.0681 +vn -0.2047 -0.3344 -0.9199 +vn -0.6656 -0.3876 0.6378 +vn -0.9941 0.0332 0.1032 +vn 0.0463 -0.5096 0.8592 +vn 0.0462 -0.5096 0.8592 +vn 0.7245 -0.2613 0.6378 +vn 0.7245 -0.2614 0.6378 +vn 0.9719 0.2117 0.1032 +vn 0.6434 0.6325 -0.4313 +vn -0.0685 0.7545 -0.6527 +vn -0.7468 0.5063 -0.4313 +vn -0.6659 -0.3943 0.6333 +vn -0.9948 0.0270 0.0981 +vn 0.0469 -0.5165 0.8550 +vn 0.7260 -0.2680 0.6333 +vn 0.9737 0.2057 0.0981 +vn 0.6448 0.6270 -0.4372 +vn -0.0680 0.7492 -0.6589 +vn -0.7472 0.5006 -0.4372 +vn -0.6661 -0.3995 0.6298 +vn -0.9953 0.0222 0.0941 +vn 0.0474 -0.5218 0.8518 +vn 0.7272 -0.2730 0.6298 +vn 0.9750 0.2011 0.0941 +vn 0.6458 0.6228 -0.4416 +vn -0.0676 0.7451 -0.6635 +vn -0.7474 0.4963 -0.4416 +vn -0.6657 -0.3900 0.6362 +vn -0.9944 0.0310 0.1014 +vn 0.0465 -0.5121 0.8577 +vn 0.7251 -0.2637 0.6362 +vn 0.9725 0.2096 0.1014 +vn 0.6439 0.6305 -0.4334 +vn -0.0683 0.7526 -0.6549 +vn -0.7469 0.5043 -0.4334 +vn -0.6657 -0.3894 0.6366 +vn -0.9943 0.0315 0.1018 +vn 0.0465 -0.5115 0.8580 +vn 0.7250 -0.2631 0.6366 +vn 0.9724 0.2101 0.1018 +vn 0.6438 0.6310 -0.4329 +vn -0.0684 0.7530 -0.6544 +vn -0.7469 0.5047 -0.4329 +vn -0.6660 -0.3973 0.6314 +vn -0.9951 0.0243 0.0958 +vn 0.0472 -0.5195 0.8532 +vn 0.7267 -0.2708 0.6313 +vn 0.9745 0.2031 0.0958 +vn 0.6454 0.6246 -0.4397 +vn -0.0678 0.7469 -0.6615 +vn -0.7473 0.4982 -0.4397 +vn -0.6658 -0.3900 0.6361 +vn 0.9725 0.2095 0.1014 +vn -0.0684 0.7526 -0.6549 +vn -0.6658 -0.3894 0.6365 +vn -0.9943 0.0315 0.1019 +vn 0.0464 -0.5114 0.8581 +vn 0.7250 -0.2631 0.6365 +vn 0.9724 0.2101 0.1019 +vn 0.6439 0.6309 -0.4329 +vn -0.0683 0.7531 -0.6544 +vn -0.6662 -0.3971 0.6312 +vn -0.9951 0.0243 0.0959 +vn 0.0471 -0.5195 0.8532 +vn 0.7268 -0.2707 0.6313 +vn 0.9744 0.2032 0.0958 +vn 0.6455 0.6246 -0.4397 +vn -0.0675 0.7469 -0.6615 +vn -0.3778 0.6262 0.6820 +vn -0.1838 0.9823 0.0367 +vn -0.3030 -0.0836 0.9493 +vn -0.0032 -0.7313 0.6820 +vn 0.3459 -0.9376 0.0367 +vn 0.5399 -0.5815 -0.6086 +vn 0.4651 0.1283 -0.8759 +vn 0.1653 0.7761 -0.6086 +vn -0.3822 0.6253 0.6804 +vn -0.1881 0.9815 0.0348 +vn -0.3073 -0.0848 0.9478 +vn -0.0075 -0.7328 0.6804 +vn 0.3418 -0.9391 0.0348 +vn 0.5359 -0.5829 -0.6108 +vn 0.4611 0.1272 -0.8782 +vn 0.1612 0.7752 -0.6108 +vn -0.3854 0.6247 0.6792 +vn -0.1912 0.9810 0.0334 +vn -0.3105 -0.0857 0.9467 +vn -0.0106 -0.7339 0.6792 +vn 0.3388 -0.9403 0.0334 +vn 0.5330 -0.5839 -0.6123 +vn 0.4581 0.1264 -0.8798 +vn 0.1582 0.7746 -0.6123 +vn -0.3792 0.6259 0.6815 +vn -0.1852 0.9820 0.0361 +vn -0.3045 -0.0840 0.9488 +vn -0.0047 -0.7318 0.6815 +vn 0.3445 -0.9381 0.0361 +vn 0.5386 -0.5820 -0.6093 +vn 0.4638 0.1279 -0.8767 +vn 0.1640 0.7758 -0.6093 +vn -0.3790 0.6260 0.6816 +vn -0.1850 0.9821 0.0362 +vn -0.3042 -0.0839 0.9489 +vn -0.0044 -0.7317 0.6816 +vn 0.3447 -0.9380 0.0362 +vn 0.5387 -0.5819 -0.6092 +vn 0.4640 0.1280 -0.8766 +vn 0.1642 0.7758 -0.6092 +vn -0.3840 0.6249 0.6797 +vn -0.1898 0.9812 0.0340 +vn -0.3091 -0.0853 0.9472 +vn -0.0092 -0.7334 0.6797 +vn 0.3401 -0.9398 0.0340 +vn 0.5342 -0.5835 -0.6117 +vn 0.4594 0.1267 -0.8791 +vn 0.1595 0.7749 -0.6117 +vn -0.3793 0.6259 0.6815 +vn -0.3044 -0.0840 0.9488 +vn 0.5385 -0.5820 -0.6093 +vn 0.4637 0.1280 -0.8767 +vn -0.1850 0.9821 0.0361 +vn -0.3042 -0.0840 0.9489 +vn 0.5388 -0.5819 -0.6092 +vn 0.4640 0.1280 -0.8765 +vn -0.3839 0.6249 0.6797 +vn -0.1899 0.9812 0.0341 +vn -0.3090 -0.0853 0.9472 +vn -0.0091 -0.7334 0.6798 +vn 0.3402 -0.9397 0.0341 +vn 0.5344 -0.5835 -0.6116 +vn 0.4595 0.1267 -0.8791 +vn 0.7798 0.3137 0.5417 +vn 0.9701 -0.2378 0.0491 +vn 0.1274 0.6539 0.7458 +vn 0.1274 0.6539 0.7457 +vn -0.6050 0.5836 0.5417 +vn -0.9884 0.1439 0.0491 +vn -0.7982 -0.4077 -0.4436 +vn -0.1458 -0.7479 -0.6476 +vn 0.5867 -0.6776 -0.4436 +vn 0.7805 0.3162 0.5393 +vn 0.9708 -0.2354 0.0465 +vn 0.1279 0.6565 0.7434 +vn -0.6047 0.5862 0.5393 +vn -0.9881 0.1463 0.0465 +vn -0.7979 -0.4053 -0.4462 +vn -0.1453 -0.7456 -0.6503 +vn 0.5873 -0.6753 -0.4462 +vn 0.7810 0.3180 0.5375 +vn 0.9713 -0.2337 0.0447 +vn 0.1283 0.6584 0.7416 +vn -0.6044 0.5880 0.5375 +vn -0.9880 0.1481 0.0447 +vn -0.7977 -0.4036 -0.4481 +vn -0.1450 -0.7440 -0.6523 +vn 0.5877 -0.6736 -0.4481 +vn 0.7801 0.3145 0.5409 +vn 0.9703 -0.2371 0.0482 +vn 0.1276 0.6548 0.7450 +vn -0.6049 0.5844 0.5409 +vn -0.9883 0.1447 0.0482 +vn -0.7981 -0.4069 -0.4444 +vn -0.1456 -0.7472 -0.6485 +vn 0.5869 -0.6768 -0.4444 +vn 0.7801 0.3144 0.5410 +vn 0.9703 -0.2371 0.0483 +vn 0.1276 0.6547 0.7451 +vn -0.6049 0.5843 0.5410 +vn -0.9883 0.1446 0.0483 +vn -0.7981 -0.4070 -0.4443 +vn -0.1456 -0.7472 -0.6484 +vn 0.5868 -0.6769 -0.4443 +vn 0.7808 0.3172 0.5383 +vn 0.9711 -0.2345 0.0455 +vn 0.1282 0.6576 0.7424 +vn -0.6045 0.5872 0.5383 +vn -0.9880 0.1473 0.0455 +vn -0.7977 -0.4044 -0.4473 +vn -0.1451 -0.7447 -0.6514 +vn 0.5875 -0.6743 -0.4473 +vn 0.9703 -0.2370 0.0482 +vn 0.1277 0.6548 0.7450 +vn -0.6048 0.5844 0.5409 +vn -0.9883 0.1447 0.0483 +vn 0.7800 0.3144 0.5410 +vn 0.9703 -0.2372 0.0483 +vn 0.1275 0.6547 0.7451 +vn -0.9883 0.1446 0.0484 +vn -0.1457 -0.7472 -0.6484 +vn 0.7807 0.3173 0.5384 +vn 0.9710 -0.2346 0.0454 +vn 0.1279 0.6576 0.7424 +vn -0.6046 0.5872 0.5382 +vn -0.7978 -0.4043 -0.4473 +vn 0.5875 -0.6744 -0.4473 +vn 0.4758 -0.7747 0.4165 +vn -0.1771 -0.9808 0.0819 +vn 0.8243 -0.1113 0.5551 +vn 0.6642 0.6207 0.4165 +vn 0.6643 0.6207 0.4165 +vn 0.0894 0.9926 0.0819 +vn -0.5635 0.7865 -0.2527 +vn -0.9120 0.1232 -0.3913 +vn -0.7520 -0.6088 -0.2527 +vn 0.4783 -0.7753 0.4125 +vn -0.1749 -0.9815 0.0777 +vn 0.8269 -0.1117 0.5511 +vn 0.6668 0.6207 0.4125 +vn 0.0918 0.9927 0.0777 +vn -0.5614 0.7866 -0.2571 +vn -0.9101 0.1229 -0.3957 +vn -0.7500 -0.6094 -0.2571 +vn 0.4801 -0.7758 0.4095 +vn -0.1733 -0.9820 0.0746 +vn 0.8288 -0.1120 0.5482 +vn 0.6687 0.6206 0.4095 +vn 0.0935 0.9928 0.0746 +vn -0.5599 0.7866 -0.2603 +vn -0.9087 0.1228 -0.3990 +vn -0.7486 -0.6098 -0.2603 +vn 0.4766 -0.7749 0.4152 +vn -0.1764 -0.9810 0.0805 +vn 0.8252 -0.1115 0.5538 +vn 0.6651 0.6207 0.4152 +vn 0.0902 0.9927 0.0805 +vn -0.5628 0.7866 -0.2542 +vn -0.9114 0.1231 -0.3928 +vn -0.7513 -0.6090 -0.2542 +vn 0.4765 -0.7749 0.4154 +vn -0.1765 -0.9810 0.0807 +vn 0.8250 -0.1115 0.5540 +vn 0.6650 0.6207 0.4154 +vn 0.0901 0.9927 0.0807 +vn -0.5629 0.7866 -0.2539 +vn -0.9114 0.1231 -0.3926 +vn -0.7514 -0.6090 -0.2539 +vn 0.4793 -0.7756 0.4108 +vn -0.1740 -0.9818 0.0760 +vn 0.8280 -0.1118 0.5495 +vn 0.6679 0.6206 0.4108 +vn 0.0927 0.9928 0.0760 +vn -0.5606 0.7866 -0.2589 +vn -0.9093 0.1228 -0.3975 +vn -0.7492 -0.6097 -0.2589 +vn -0.7513 -0.6091 -0.2542 +vn 0.4764 -0.7749 0.4154 +vn 0.8250 -0.1114 0.5540 +vn -0.5629 0.7866 -0.2540 +vn 0.6679 0.6207 0.4108 +vn 0.0928 0.9928 0.0760 +vn -0.5606 0.7866 -0.2588 +vn -0.7492 -0.6097 -0.2588 +vn 0.4931 -0.4892 0.7194 +vn 0.4932 -0.4892 0.7194 +vn 0.5871 -0.8083 0.0453 +vn 0.5871 -0.8082 0.0453 +vn 0.0366 0.0387 0.9986 +vn 0.0366 0.0386 0.9986 +vn -0.5151 0.4660 0.7194 +vn -0.8388 0.5426 0.0453 +vn -0.7448 0.2235 -0.6287 +vn -0.2883 -0.3043 -0.9079 +vn -0.2882 -0.3043 -0.9079 +vn 0.2634 -0.7317 -0.6287 +vn 0.5004 -0.4833 0.7183 +vn 0.5945 -0.8029 0.0431 +vn 0.0431 0.0455 0.9980 +vn -0.5096 0.4736 0.7183 +vn -0.8338 0.5503 0.0431 +vn -0.7397 0.2307 -0.6321 +vn -0.2823 -0.2981 -0.9118 +vn 0.2703 -0.7262 -0.6321 +vn 0.5061 -0.4786 0.7175 +vn 0.6003 -0.7987 0.0414 +vn 0.0481 0.0508 0.9975 +vn -0.5053 0.4795 0.7175 +vn -0.8299 0.5563 0.0414 +vn -0.7357 0.2363 -0.6347 +vn -0.2778 -0.2932 -0.9148 +vn 0.2756 -0.7219 -0.6347 +vn 0.4958 -0.4870 0.7190 +vn 0.5898 -0.8063 0.0445 +vn 0.0390 0.0412 0.9984 +vn -0.5131 0.4688 0.7190 +vn -0.8370 0.5455 0.0445 +vn -0.7430 0.2262 -0.6300 +vn -0.2861 -0.3020 -0.9094 +vn 0.2660 -0.7296 -0.6300 +vn 0.4951 -0.4876 0.7191 +vn 0.5891 -0.8068 0.0447 +vn 0.0384 0.0405 0.9984 +vn -0.5136 0.4680 0.7191 +vn -0.8375 0.5447 0.0447 +vn -0.7435 0.2254 -0.6296 +vn -0.2867 -0.3026 -0.9090 +vn 0.2653 -0.7302 -0.6296 +vn 0.5037 -0.4806 0.7178 +vn 0.5978 -0.8005 0.0421 +vn 0.0460 0.0485 0.9978 +vn -0.5071 0.4770 0.7179 +vn -0.8316 0.5537 0.0421 +vn -0.7374 0.2339 -0.6336 +vn -0.2798 -0.2953 -0.9135 +vn 0.2733 -0.7238 -0.6336 +vn 0.4959 -0.4870 0.7190 +vn 0.5899 -0.8063 0.0445 +vn 0.0391 0.0412 0.9984 +vn -0.8370 0.5454 0.0445 +vn -0.7429 0.2262 -0.6300 +vn 0.2659 -0.7297 -0.6300 +vn 0.4952 -0.4876 0.7191 +vn 0.5891 -0.8069 0.0447 +vn 0.0383 0.0405 0.9984 +vn -0.5137 0.4680 0.7191 +vn 0.2652 -0.7302 -0.6297 +vn 0.5977 -0.8006 0.0421 +vn 0.0459 0.0485 0.9978 +vn -0.5072 0.4769 0.7178 +vn -0.8316 0.5538 0.0422 +vn -0.7375 0.2337 -0.6336 +vn -0.2799 -0.2953 -0.9135 +vn 0.2732 -0.7237 -0.6337 +vn -0.7987 0.1808 0.5740 +vn -0.6554 0.7497 0.0921 +vn -0.4388 -0.4572 0.7736 +vn 0.2134 -0.7906 0.5740 +vn 0.7759 -0.6241 0.0921 +vn 0.9192 -0.0552 -0.3898 +vn 0.9192 -0.0552 -0.3899 +vn 0.5593 0.5828 -0.5895 +vn -0.0929 0.9162 -0.3899 +vn -0.8024 0.1777 0.5697 +vn -0.6590 0.7470 0.0874 +vn -0.4423 -0.4608 0.7695 +vn 0.2105 -0.7945 0.5697 +vn 0.7734 -0.6278 0.0874 +vn 0.9168 -0.0585 -0.3949 +vn 0.5567 0.5800 -0.5947 +vn -0.0961 0.9137 -0.3949 +vn -0.8052 0.1754 0.5665 +vn -0.6617 0.7450 0.0839 +vn -0.4448 -0.4635 0.7663 +vn 0.2083 -0.7973 0.5665 +vn 0.7716 -0.6306 0.0839 +vn 0.9150 -0.0609 -0.3987 +vn 0.5547 0.5779 -0.5986 +vn -0.0985 0.9118 -0.3987 +vn -0.8000 0.1797 0.5725 +vn -0.6566 0.7488 0.0904 +vn -0.4400 -0.4584 0.7722 +vn 0.2124 -0.7919 0.5725 +vn 0.7751 -0.6254 0.0904 +vn 0.9184 -0.0563 -0.3916 +vn 0.5584 0.5819 -0.5913 +vn -0.0940 0.9153 -0.3916 +vn -0.7997 0.1799 0.5728 +vn -0.6564 0.7489 0.0907 +vn -0.4398 -0.4582 0.7724 +vn 0.2126 -0.7917 0.5728 +vn 0.7753 -0.6251 0.0907 +vn 0.9186 -0.0561 -0.3913 +vn 0.5586 0.5820 -0.5910 +vn -0.0938 0.9155 -0.3913 +vn -0.8040 0.1764 0.5679 +vn -0.6605 0.7459 0.0854 +vn -0.4437 -0.4623 0.7677 +vn 0.2093 -0.7961 0.5679 +vn 0.7724 -0.6294 0.0854 +vn 0.9158 -0.0599 -0.3971 +vn 0.5555 0.5789 -0.5969 +vn -0.0974 0.9126 -0.3971 +vn -0.6567 0.7487 0.0904 +vn 0.7750 -0.6254 0.0904 +vn 0.9184 -0.0564 -0.3916 +vn -0.0941 0.9153 -0.3916 +vn 0.2125 -0.7916 0.5728 +vn 0.9185 -0.0561 -0.3913 +vn -0.0937 0.9155 -0.3913 +vn -0.8040 0.1763 0.5678 +vn -0.4438 -0.4623 0.7677 +vn 0.2092 -0.7960 0.5679 +vn 0.9158 -0.0598 -0.3971 +vn 0.5556 0.5788 -0.5969 +vn -0.0972 0.9126 -0.3971 +vn 0.3413 0.6155 0.7104 +vn 0.5548 0.8319 0.0120 +vn 0.5547 0.8319 0.0120 +vn -0.0219 0.0117 0.9997 +vn -0.0220 0.0117 0.9997 +vn -0.3222 -0.6257 0.7104 +vn -0.3836 -0.9234 0.0120 +vn -0.1702 -0.7070 -0.6864 +vn 0.1931 -0.1032 -0.9757 +vn 0.4934 0.5342 -0.6864 +vn 0.3370 0.6182 0.7101 +vn 0.5506 0.8347 0.0114 +vn -0.0264 0.0141 0.9996 +vn -0.3268 -0.6236 0.7101 +vn -0.3883 -0.9215 0.0114 +vn -0.1747 -0.7050 -0.6874 +vn 0.1887 -0.1009 -0.9768 +vn 0.4892 0.5369 -0.6874 +vn 0.3339 0.6201 0.7099 +vn 0.5475 0.8367 0.0109 +vn -0.0296 0.0159 0.9994 +vn -0.3302 -0.6221 0.7099 +vn -0.3917 -0.9200 0.0109 +vn -0.1780 -0.7034 -0.6881 +vn 0.1855 -0.0992 -0.9776 +vn 0.4861 0.5388 -0.6881 +vn 0.3399 0.6164 0.7103 +vn 0.5534 0.8329 0.0118 +vn -0.0234 0.0125 0.9996 +vn -0.3238 -0.6250 0.7103 +vn -0.3852 -0.9228 0.0118 +vn -0.1717 -0.7063 -0.6868 +vn 0.1916 -0.1024 -0.9761 +vn 0.4919 0.5351 -0.6868 +vn 0.3401 0.6163 0.7103 +vn 0.5536 0.8327 0.0118 +vn -0.0232 0.0124 0.9997 +vn -0.3235 -0.6251 0.7103 +vn -0.3850 -0.9229 0.0118 +vn -0.1715 -0.7064 -0.6867 +vn 0.1918 -0.1025 -0.9761 +vn 0.4921 0.5350 -0.6867 +vn 0.3352 0.6193 0.7100 +vn 0.5488 0.8359 0.0111 +vn -0.0282 0.0151 0.9995 +vn -0.3287 -0.6228 0.7100 +vn -0.3902 -0.9207 0.0111 +vn -0.1766 -0.7041 -0.6878 +vn 0.1869 -0.0999 -0.9773 +vn 0.4874 0.5379 -0.6878 +vn 0.5533 0.8329 0.0118 +vn -0.3852 -0.9227 0.0118 +vn 0.5535 0.8328 0.0118 +vn -0.3236 -0.6251 0.7103 +vn -0.3849 -0.9229 0.0118 +vn -0.1714 -0.7064 -0.6867 +vn 0.1919 -0.1026 -0.9760 +vn 0.4922 0.5350 -0.6867 +vn 0.3352 0.6194 0.7099 +vn -0.3901 -0.9207 0.0111 +vn -0.1764 -0.7042 -0.6877 +vn 0.1870 -0.0999 -0.9773 +vn 0.4875 0.5380 -0.6877 +vn 0.6981 0.4577 0.5507 +vn 0.9906 -0.0836 0.1082 +vn -0.0032 0.6792 0.7340 +vn -0.0032 0.6792 0.7339 +vn -0.7023 0.4512 0.5507 +vn -0.9898 -0.0928 0.1082 +vn -0.6972 -0.6341 -0.3342 +vn 0.0040 -0.8557 -0.5175 +vn 0.7031 -0.6276 -0.3342 +vn 0.6987 0.4627 0.5457 +vn 0.9916 -0.0792 0.1028 +vn -0.0032 0.6844 0.7291 +vn -0.7030 0.4561 0.5456 +vn -0.9908 -0.0884 0.1028 +vn -0.6979 -0.6302 -0.3401 +vn 0.0040 -0.8520 -0.5236 +vn 0.7038 -0.6237 -0.3401 +vn 0.6992 0.4664 0.5418 +vn 0.9922 -0.0758 0.0986 +vn -0.0032 0.6883 0.7254 +vn -0.7035 0.4599 0.5418 +vn -0.9915 -0.0850 0.0986 +vn -0.6985 -0.6272 -0.3446 +vn 0.0039 -0.8491 -0.5282 +vn 0.7043 -0.6207 -0.3446 +vn 0.6983 0.4594 0.5489 +vn 0.9909 -0.0821 0.1063 +vn -0.0032 0.6810 0.7323 +vn -0.7026 0.4529 0.5489 +vn -0.9901 -0.0913 0.1063 +vn -0.6975 -0.6328 -0.3363 +vn 0.0040 -0.8544 -0.5197 +vn 0.7034 -0.6263 -0.3363 +vn 0.6983 0.4591 0.5493 +vn 0.9909 -0.0824 0.1067 +vn -0.0032 0.6806 0.7326 +vn -0.7025 0.4526 0.5493 +vn -0.9901 -0.0916 0.1067 +vn -0.6974 -0.6331 -0.3359 +vn 0.0040 -0.8546 -0.5192 +vn 0.7033 -0.6266 -0.3359 +vn 0.6990 0.4648 0.5435 +vn 0.9919 -0.0773 0.1004 +vn -0.0032 0.6866 0.7270 +vn -0.7033 0.4583 0.5435 +vn -0.9912 -0.0865 0.1004 +vn -0.6982 -0.6286 -0.3426 +vn 0.0040 -0.8504 -0.5262 +vn 0.7040 -0.6220 -0.3426 +vn -0.0031 0.6810 0.7323 +vn -0.7025 0.4529 0.5489 +vn 0.0039 -0.8544 -0.5196 +vn 0.7033 -0.6263 -0.3363 +vn 0.6984 0.4590 0.5492 +vn -0.7026 0.4524 0.5492 +vn -0.9901 -0.0916 0.1068 +vn 0.6992 0.4647 0.5433 +vn 0.9919 -0.0772 0.1005 +vn -0.0034 0.6866 0.7270 +vn -0.7036 0.4581 0.5432 +vn -0.9912 -0.0864 0.1005 +vn -0.6981 -0.6287 -0.3427 +vn 0.0041 -0.8504 -0.5262 +vn 0.7041 -0.6220 -0.3426 +vn 0.6691 -0.4013 0.6255 +vn 0.9857 -0.1660 -0.0279 +vn -0.0434 -0.4417 0.8961 +vn -0.7344 -0.2635 0.6254 +vn -0.7344 -0.2635 0.6255 +vn -0.9992 0.0290 -0.0279 +vn -0.9992 0.0289 -0.0279 +vn -0.6826 0.2643 -0.6813 +vn 0.0299 0.3047 -0.9520 +vn 0.7209 0.1264 -0.6814 +vn 0.7210 0.1264 -0.6814 +vn 0.6697 -0.3979 0.6271 +vn 0.9864 -0.1625 -0.0265 +vn -0.0431 -0.4383 0.8978 +vn -0.7343 -0.2600 0.6271 +vn -0.9991 0.0325 -0.0265 +vn -0.6824 0.2679 -0.6801 +vn 0.0303 0.3083 -0.9508 +vn 0.7215 0.1300 -0.6801 +vn 0.6700 -0.3954 0.6283 +vn 0.9868 -0.1599 -0.0254 +vn -0.0428 -0.4358 0.8990 +vn -0.7342 -0.2575 0.6283 +vn -0.9991 0.0351 -0.0254 +vn -0.6823 0.2706 -0.6792 +vn 0.0305 0.3110 -0.9499 +vn 0.7219 0.1327 -0.6792 +vn 0.6693 -0.4002 0.6260 +vn 0.9859 -0.1649 -0.0275 +vn -0.0433 -0.4406 0.8967 +vn -0.7344 -0.2624 0.6260 +vn -0.9992 0.0301 -0.0275 +vn -0.6825 0.2655 -0.6809 +vn 0.0301 0.3059 -0.9516 +vn 0.7211 0.1276 -0.6809 +vn 0.6693 -0.4004 0.6259 +vn 0.9859 -0.1650 -0.0275 +vn -0.0433 -0.4407 0.8966 +vn -0.7344 -0.2625 0.6259 +vn -0.9992 0.0300 -0.0275 +vn -0.6826 0.2653 -0.6810 +vn 0.0300 0.3057 -0.9516 +vn 0.7211 0.1275 -0.6810 +vn 0.6699 -0.3965 0.6277 +vn 0.9866 -0.1610 -0.0259 +vn -0.0429 -0.4369 0.8985 +vn -0.7342 -0.2585 0.6277 +vn -0.9991 0.0340 -0.0259 +vn -0.6824 0.2694 -0.6796 +vn 0.0304 0.3098 -0.9503 +vn 0.7217 0.1315 -0.6796 +vn 0.6694 -0.4002 0.6259 +vn 0.9859 -0.1648 -0.0275 +vn -0.0432 -0.4406 0.8967 +vn -0.7344 -0.2623 0.6260 +vn 0.7212 0.1276 -0.6809 +vn 0.6692 -0.4004 0.6260 +vn 0.9859 -0.1649 -0.0274 +vn -0.0434 -0.4407 0.8966 +vn -0.7344 -0.2625 0.6260 +vn -0.9992 0.0299 -0.0274 +vn -0.6825 0.2653 -0.6810 +vn 0.0301 0.3057 -0.9516 +vn 0.6697 -0.3965 0.6279 +vn 0.9866 -0.1610 -0.0257 +vn -0.0432 -0.4368 0.8985 +vn -0.7342 -0.2586 0.6278 +vn -0.9991 0.0339 -0.0257 +vn -0.6823 0.2694 -0.6797 +vn 0.0305 0.3098 -0.9503 +vn 0.7217 0.1316 -0.6795 +vn -0.6002 0.4908 0.6316 +vn -0.6001 0.4909 0.6316 +vn -0.1837 0.9512 0.2480 +vn -0.5713 -0.2208 0.7905 +vn -0.1140 -0.7669 0.6316 +vn 0.5038 -0.8275 0.2480 +vn 0.9202 -0.3671 -0.1356 +vn 0.8914 0.3445 -0.2945 +vn 0.8914 0.3445 -0.2946 +vn 0.4341 0.8906 -0.1356 +vn 0.4341 0.8906 -0.1357 +vn -0.6108 0.4899 0.6220 +vn -0.1925 0.9523 0.2367 +vn -0.5818 -0.2249 0.7816 +vn -0.1225 -0.7734 0.6220 +vn 0.4980 -0.8342 0.2367 +vn 0.9163 -0.3718 -0.1486 +vn 0.8874 0.3430 -0.3082 +vn 0.4281 0.8914 -0.1486 +vn -0.6196 0.4891 0.6139 +vn -0.1999 0.9531 0.2272 +vn -0.5906 -0.2283 0.7740 +vn -0.1296 -0.7787 0.6139 +vn 0.4931 -0.8398 0.2272 +vn 0.9129 -0.3757 -0.1594 +vn 0.8839 0.3416 -0.3196 +vn 0.4229 0.8920 -0.1594 +vn -0.6047 0.4904 0.6276 +vn -0.1874 0.9517 0.2433 +vn -0.5758 -0.2225 0.7867 +vn -0.1177 -0.7696 0.6276 +vn 0.5014 -0.8303 0.2433 +vn 0.9186 -0.3691 -0.1410 +vn 0.8898 0.3439 -0.3001 +vn 0.4317 0.8910 -0.1410 +vn -0.6028 0.4906 0.6292 +vn -0.1859 0.9515 0.2452 +vn -0.5739 -0.2218 0.7883 +vn -0.1162 -0.7685 0.6292 +vn 0.5024 -0.8292 0.2452 +vn 0.9193 -0.3683 -0.1388 +vn 0.8904 0.3441 -0.2979 +vn 0.4327 0.8908 -0.1388 +vn -0.6158 0.4895 0.6174 +vn -0.1967 0.9528 0.2313 +vn -0.5868 -0.2268 0.7773 +vn -0.1266 -0.7764 0.6174 +vn 0.4952 -0.8374 0.2313 +vn 0.9144 -0.3741 -0.1548 +vn 0.8854 0.3422 -0.3147 +vn 0.4251 0.8918 -0.1548 +vn -0.6046 0.4904 0.6276 +vn -0.1873 0.9517 0.2433 +vn -0.5757 -0.2225 0.7868 +vn 0.9187 -0.3691 -0.1410 +vn 0.8897 0.3439 -0.3001 +vn -0.6028 0.4907 0.6292 +vn -0.1858 0.9515 0.2452 +vn -0.5741 -0.2218 0.7882 +vn -0.1161 -0.7685 0.6292 +vn 0.5025 -0.8291 0.2452 +vn 0.8904 0.3442 -0.2979 +vn 0.4326 0.8908 -0.1388 +vn -0.6159 0.4895 0.6174 +vn -0.1968 0.9528 0.2313 +vn -0.5871 -0.2267 0.7771 +vn -0.1266 -0.7764 0.6173 +vn 0.4954 -0.8373 0.2313 +vn 0.9144 -0.3742 -0.1548 +vn 0.8853 0.3422 -0.3148 +vn 0.4250 0.8919 -0.1548 +vn -0.2559 0.6920 0.6751 +vn 0.0200 0.9992 0.0337 +vn -0.3387 -0.0183 0.9407 +vn -0.1798 -0.7155 0.6751 +vn 0.1277 -0.9912 0.0337 +vn 0.4036 -0.6840 -0.6077 +vn 0.4864 0.0263 -0.8733 +vn 0.3275 0.7235 -0.6077 +vn -0.2597 0.6922 0.6734 +vn 0.0166 0.9994 0.0319 +vn -0.3427 -0.0183 0.9393 +vn -0.1839 -0.7159 0.6735 +vn 0.1237 -0.9918 0.0317 +vn 0.3999 -0.6842 -0.6099 +vn 0.4828 0.0264 -0.8753 +vn 0.3240 0.7236 -0.6094 +vn -0.2699 0.6893 0.6724 +vn -0.0049 0.9997 0.0245 +vn -0.3363 -0.0214 0.9415 +vn -0.1674 -0.7148 0.6790 +vn 0.1375 -0.9897 0.0399 +vn 0.4020 -0.6866 -0.6058 +vn 0.4715 0.0219 -0.8816 +vn 0.3032 0.7226 -0.6212 +vn -0.2709 0.6930 0.6681 +vn -0.0202 0.9997 0.0148 +vn -0.3196 -0.0156 0.9474 +vn -0.1387 -0.7096 0.6908 +vn 0.1653 -0.9850 0.0499 +vn 0.4155 -0.6813 -0.6026 +vn 0.4655 0.0264 -0.8846 +vn 0.2851 0.7234 -0.6289 +vn -0.2486 0.7018 0.6676 +vn 0.0353 0.9988 0.0336 +vn -0.3473 -0.0053 0.9377 +vn -0.1966 -0.7139 0.6721 +vn 0.1166 -0.9930 0.0208 +vn 0.4019 -0.6742 -0.6196 +vn 0.4914 0.0394 -0.8700 +vn 0.3393 0.7262 -0.5979 +vn -0.2072 0.6932 0.6903 +vn 0.1569 0.9827 0.0986 +vn -0.4170 -0.0076 0.9089 +vn -0.3401 -0.7179 0.6074 +vn -0.0154 -0.9989 -0.0438 +vn 0.3559 -0.6791 -0.6420 +vn 0.5518 0.0309 -0.8334 +vn 0.4677 0.7108 -0.5254 +vn -0.1653 0.6695 0.7242 +vn 0.2769 0.9442 0.1786 +vn -0.4784 -0.0098 0.8781 +vn -0.4706 -0.7024 0.5340 +vn -0.1386 -0.9843 -0.1092 +vn 0.3138 -0.6847 -0.6578 +vn 0.6144 0.0025 -0.7890 +vn 0.5964 0.6701 -0.4419 +vn -0.1597 0.6471 0.7455 +vn 0.3198 0.9216 0.2201 +vn -0.5100 -0.0215 0.8599 +vn -0.5249 -0.6922 0.4953 +vn -0.1957 -0.9714 -0.1343 +vn 0.2846 -0.6955 -0.6597 +vn 0.6342 -0.0265 -0.7727 +vn 0.6483 0.6428 -0.4081 +vn -0.1703 0.6417 0.7478 +vn 0.3117 0.9241 0.2210 +vn -0.5154 -0.0298 0.8564 +vn -0.5259 -0.6939 0.4919 +vn -0.2005 -0.9708 -0.1315 +vn 0.2753 -0.7016 -0.6572 +vn 0.6274 -0.0345 -0.7779 +vn 0.6442 0.6428 -0.4144 +vn 0.6461 0.2902 0.7060 +vn 0.9082 0.4184 0.0095 +vn 0.0590 -0.0870 0.9945 +vn 0.0590 -0.0871 0.9945 +vn -0.5092 -0.4922 0.7060 +vn -0.5092 -0.4923 0.7060 +vn -0.7256 -0.6881 0.0095 +vn -0.4634 -0.5599 -0.6869 +vn 0.1237 -0.1826 -0.9754 +vn 0.6918 0.2226 -0.6869 +vn 0.6422 0.2975 0.7064 +vn 0.9047 0.4259 0.0091 +vn 0.0544 -0.0802 0.9953 +vn -0.5145 -0.4860 0.7064 +vn -0.7312 -0.6821 0.0091 +vn -0.4687 -0.5537 -0.6883 +vn 0.1192 -0.1760 -0.9772 +vn 0.6881 0.2298 -0.6883 +vn 0.6392 0.3031 0.7068 +vn 0.9020 0.4316 0.0087 +vn 0.0507 -0.0750 0.9959 +vn -0.5187 -0.4812 0.7067 +vn -0.7355 -0.6775 0.0087 +vn -0.4727 -0.5489 -0.6893 +vn 0.1157 -0.1708 -0.9785 +vn 0.6851 0.2353 -0.6894 +vn 0.6447 0.2928 0.7062 +vn 0.9070 0.4211 0.0094 +vn 0.0573 -0.0846 0.9948 +vn -0.5111 -0.4900 0.7062 +vn -0.7276 -0.6860 0.0094 +vn -0.4653 -0.5576 -0.6874 +vn 0.1221 -0.1802 -0.9760 +vn 0.6905 0.2252 -0.6874 +vn 0.6450 0.2922 0.7061 +vn 0.9073 0.4205 0.0094 +vn 0.0577 -0.0852 0.9947 +vn -0.5106 -0.4906 0.7061 +vn -0.7271 -0.6865 0.0094 +vn -0.4648 -0.5582 -0.6873 +vn 0.1225 -0.1808 -0.9759 +vn 0.6908 0.2245 -0.6873 +vn 0.6405 0.3007 0.7067 +vn 0.9032 0.4291 0.0089 +vn 0.0523 -0.0773 0.9956 +vn -0.5168 -0.4833 0.7066 +vn -0.7336 -0.6795 0.0089 +vn -0.4710 -0.5510 -0.6889 +vn 0.1171 -0.1731 -0.9779 +vn 0.6864 0.2329 -0.6889 +vn 0.6447 0.2928 0.7061 +vn 0.9070 0.4211 0.0093 +vn 0.1220 -0.1802 -0.9760 +vn 0.6904 0.2252 -0.6874 +vn 0.9072 0.4206 0.0093 +vn -0.5107 -0.4905 0.7061 +vn -0.7270 -0.6865 0.0094 +vn -0.4646 -0.5583 -0.6873 +vn 0.1226 -0.1809 -0.9758 +vn 0.6908 0.2246 -0.6873 +vn 0.6404 0.3008 0.7067 +vn 0.9031 0.4294 0.0089 +vn -0.5170 -0.4832 0.7065 +vn -0.7336 -0.6796 0.0088 +vn -0.4705 -0.5512 -0.6891 +vn 0.1175 -0.1731 -0.9779 +vn 0.6863 0.2329 -0.6890 +vn -0.6426 0.3103 0.7006 +vn -0.9214 0.3885 0.0017 +vn 0.0344 0.1365 0.9900 +vn 0.7129 -0.0309 0.7005 +vn 0.7129 -0.0309 0.7006 +vn 0.9956 -0.0940 0.0017 +vn 0.7167 -0.0158 -0.6972 +vn 0.0398 0.1580 -0.9866 +vn -0.6388 0.3254 -0.6972 +vn -0.6453 0.3031 0.7013 +vn -0.9244 0.3814 0.0016 +vn 0.0325 0.1291 0.9911 +vn 0.7119 -0.0385 0.7013 +vn 0.9948 -0.1017 0.0016 +vn 0.7157 -0.0233 -0.6980 +vn 0.0379 0.1506 -0.9879 +vn -0.6414 0.3183 -0.6981 +vn -0.6472 0.2976 0.7018 +vn -0.9266 0.3760 0.0016 +vn 0.0311 0.1235 0.9919 +vn 0.7110 -0.0443 0.7018 +vn 0.9942 -0.1075 0.0015 +vn 0.7148 -0.0291 -0.6987 +vn 0.0365 0.1450 -0.9888 +vn -0.6434 0.3128 -0.6987 +vn -0.6435 0.3077 0.7008 +vn -0.9225 0.3860 0.0017 +vn 0.0337 0.1339 0.9904 +vn 0.7125 -0.0336 0.7008 +vn 0.9953 -0.0967 0.0017 +vn 0.7164 -0.0185 -0.6975 +vn 0.0391 0.1554 -0.9871 +vn -0.6397 0.3229 -0.6975 +vn -0.6434 0.3083 0.7007 +vn -0.9223 0.3866 0.0017 +vn 0.0339 0.1345 0.9903 +vn 0.7127 -0.0330 0.7007 +vn 0.9954 -0.0961 0.0017 +vn 0.7165 -0.0178 -0.6974 +vn 0.0393 0.1560 -0.9870 +vn -0.6395 0.3235 -0.6974 +vn -0.6464 0.2999 0.7016 +vn -0.9257 0.3783 0.0016 +vn 0.0317 0.1259 0.9915 +vn 0.7114 -0.0418 0.7015 +vn 0.9945 -0.1050 0.0016 +vn 0.7152 -0.0266 -0.6984 +vn 0.0371 0.1474 -0.9884 +vn -0.6426 0.3151 -0.6984 +vn -0.6436 0.3077 0.7008 +vn 0.7126 -0.0336 0.7008 +vn 0.7163 -0.0185 -0.6976 +vn 0.0390 0.1553 -0.9871 +vn -0.6398 0.3229 -0.6975 +vn -0.6433 0.3083 0.7007 +vn -0.9222 0.3866 0.0018 +vn 0.0340 0.1345 0.9903 +vn 0.7128 -0.0330 0.7006 +vn 0.9954 -0.0961 0.0016 +vn 0.7164 -0.0179 -0.6975 +vn 0.0394 0.1560 -0.9870 +vn -0.6394 0.3235 -0.6975 +vn -0.6464 0.3000 0.7016 +vn -0.9257 0.3783 0.0018 +vn 0.0321 0.1259 0.9915 +vn 0.7116 -0.0418 0.7013 +vn 0.0375 0.1475 -0.9884 +vn -0.6424 0.3152 -0.6985 +vn 0.7628 -0.0102 0.6466 +vn 0.7627 -0.0102 0.6466 +vn 0.8316 -0.5424 0.1192 +vn 0.2126 0.4543 0.8651 +vn -0.4966 0.5790 0.6466 +vn -0.9493 0.2909 0.1192 +vn -0.8804 -0.2413 -0.4082 +vn -0.3303 -0.7059 -0.6266 +vn 0.3788 -0.8306 -0.4082 +vn 0.7670 -0.0038 0.6416 +vn 0.8360 -0.5369 0.1134 +vn 0.2160 0.4615 0.8604 +vn -0.4943 0.5864 0.6416 +vn -0.9479 0.2978 0.1134 +vn -0.8789 -0.2354 -0.4149 +vn -0.3279 -0.7007 -0.6337 +vn 0.3825 -0.8256 -0.4149 +vn 0.7703 0.0012 0.6377 +vn 0.8394 -0.5326 0.1088 +vn 0.2186 0.4671 0.8568 +vn -0.4926 0.5922 0.6377 +vn -0.9467 0.3032 0.1088 +vn -0.8777 -0.2307 -0.4201 +vn -0.3259 -0.6966 -0.6392 +vn 0.3853 -0.8216 -0.4201 +vn 0.7643 -0.0078 0.6448 +vn 0.8332 -0.5404 0.1171 +vn 0.2138 0.4570 0.8634 +vn -0.4957 0.5818 0.6448 +vn -0.9488 0.2935 0.1171 +vn -0.8799 -0.2392 -0.4106 +vn -0.3294 -0.7040 -0.6292 +vn 0.3802 -0.8288 -0.4106 +vn 0.7639 -0.0085 0.6453 +vn 0.8328 -0.5410 0.1177 +vn 0.2135 0.4563 0.8639 +vn -0.4959 0.5810 0.6453 +vn -0.9489 0.2927 0.1177 +vn -0.8800 -0.2398 -0.4100 +vn -0.3296 -0.7045 -0.6285 +vn 0.3798 -0.8293 -0.4100 +vn 0.7688 -0.0010 0.6394 +vn 0.8379 -0.5345 0.1108 +vn 0.2174 0.4647 0.8584 +vn -0.4934 0.5897 0.6394 +vn -0.9472 0.3008 0.1108 +vn -0.8782 -0.2327 -0.4179 +vn -0.3268 -0.6983 -0.6369 +vn 0.3841 -0.8233 -0.4179 +vn 0.7643 -0.0078 0.6449 +vn -0.9488 0.2934 0.1171 +vn 0.3803 -0.8287 -0.4106 +vn 0.7637 -0.0084 0.6455 +vn 0.8328 -0.5409 0.1177 +vn 0.2136 0.4562 0.8638 +vn -0.4957 0.5811 0.6454 +vn -0.9489 0.2927 0.1176 +vn -0.3297 -0.7045 -0.6285 +vn 0.7686 -0.0009 0.6397 +vn 0.8380 -0.5343 0.1108 +vn 0.2177 0.4646 0.8583 +vn -0.4930 0.5898 0.6396 +vn -0.9473 0.3007 0.1107 +vn -0.8780 -0.2329 -0.4182 +vn -0.3269 -0.6982 -0.6369 +vn 0.3837 -0.8234 -0.4180 +vn -0.1675 -0.7434 0.6476 +vn -0.7218 -0.6754 0.1514 +vn 0.4123 -0.3197 0.8531 +vn 0.6782 0.3474 0.6476 +vn 0.4743 0.8673 0.1514 +vn -0.0799 0.9353 -0.3448 +vn -0.0800 0.9353 -0.3448 +vn -0.6598 0.5116 -0.5503 +vn -0.6598 0.5116 -0.5504 +vn -0.9257 -0.1555 -0.3448 +vn -0.1617 -0.7499 0.6415 +vn -0.7172 -0.6818 0.1441 +vn 0.4195 -0.3253 0.8475 +vn 0.6860 0.3434 0.6415 +vn 0.4817 0.8644 0.1441 +vn -0.0739 0.9326 -0.3533 +vn -0.6551 0.5079 -0.5593 +vn -0.9216 -0.1608 -0.3533 +vn -0.1570 -0.7551 0.6365 +vn -0.7135 -0.6869 0.1382 +vn 0.4252 -0.3297 0.8429 +vn 0.6922 0.3401 0.6365 +vn 0.4875 0.8621 0.1382 +vn -0.0690 0.9304 -0.3600 +vn -0.6513 0.5050 -0.5664 +vn -0.9183 -0.1649 -0.3600 +vn -0.1653 -0.7459 0.6452 +vn -0.7201 -0.6778 0.1486 +vn 0.4151 -0.3218 0.8509 +vn 0.6812 0.3459 0.6452 +vn 0.4771 0.8662 0.1486 +vn -0.0776 0.9343 -0.3481 +vn -0.6580 0.5102 -0.5538 +vn -0.9241 -0.1575 -0.3480 +vn -0.1660 -0.7451 0.6460 +vn -0.7206 -0.6770 0.1495 +vn 0.4142 -0.3211 0.8516 +vn 0.6802 0.3464 0.6460 +vn 0.4762 0.8665 0.1494 +vn -0.0783 0.9346 -0.3471 +vn -0.6586 0.5106 -0.5527 +vn -0.9246 -0.1569 -0.3471 +vn -0.1591 -0.7529 0.6386 +vn -0.7151 -0.6847 0.1407 +vn 0.4228 -0.3278 0.8449 +vn 0.6896 0.3416 0.6386 +vn 0.4850 0.8631 0.1407 +vn -0.0711 0.9313 -0.3571 +vn -0.6530 0.5062 -0.5633 +vn -0.9197 -0.1632 -0.3571 +vn -0.7200 -0.6778 0.1486 +vn -0.0776 0.9343 -0.3480 +vn -0.9241 -0.1576 -0.3480 +vn -0.1662 -0.7451 0.6459 +vn -0.7206 -0.6771 0.1495 +vn 0.4142 -0.3211 0.8517 +vn 0.6802 0.3465 0.6459 +vn 0.4762 0.8666 0.1495 +vn -0.0783 0.9346 -0.3470 +vn -0.9246 -0.1570 -0.3470 +vn -0.1595 -0.7528 0.6386 +vn -0.7152 -0.6846 0.1406 +vn 0.4227 -0.3278 0.8449 +vn 0.6896 0.3417 0.6385 +vn 0.4849 0.8632 0.1407 +vn -0.0708 0.9314 -0.3570 +vn -0.6529 0.5063 -0.5633 +vn -0.9197 -0.1635 -0.3570 +vn 0.1928 -0.6747 0.7125 +vn 0.2122 -0.9771 0.0189 +vn 0.2122 -0.9770 0.0189 +vn -0.0204 -0.0077 0.9998 +vn -0.3026 0.6331 0.7125 +vn -0.4883 0.8724 0.0189 +vn -0.4883 0.8725 0.0189 +vn -0.4690 0.5701 -0.6746 +vn -0.2558 -0.0969 -0.9619 +vn 0.0264 -0.7377 -0.6746 +vn 0.0263 -0.7377 -0.6746 +vn 0.2001 -0.6727 0.7123 +vn 0.2195 -0.9755 0.0180 +vn -0.0134 -0.0051 0.9999 +vn -0.2958 0.6365 0.7123 +vn -0.4818 0.8761 0.0180 +vn -0.4624 0.5734 -0.6763 +vn -0.2490 -0.0943 -0.9639 +vn 0.0334 -0.7358 -0.6763 +vn 0.2056 -0.6712 0.7122 +vn 0.2250 -0.9742 0.0173 +vn -0.0080 -0.0030 1.0000 +vn -0.2907 0.6390 0.7122 +vn -0.4768 0.8788 0.0173 +vn -0.4574 0.5759 -0.6776 +vn -0.2438 -0.0923 -0.9654 +vn 0.0389 -0.7344 -0.6776 +vn 0.1954 -0.6740 0.7124 +vn 0.2148 -0.9765 0.0186 +vn -0.0179 -0.0068 0.9998 +vn -0.3002 0.6343 0.7124 +vn -0.4860 0.8737 0.0186 +vn -0.4666 0.5713 -0.6752 +vn -0.2533 -0.0960 -0.9626 +vn 0.0289 -0.7371 -0.6752 +vn 0.1948 -0.6742 0.7124 +vn 0.2142 -0.9766 0.0187 +vn -0.0185 -0.0070 0.9998 +vn -0.3007 0.6340 0.7124 +vn -0.4866 0.8735 0.0187 +vn -0.4672 0.5710 -0.6751 +vn -0.2539 -0.0962 -0.9624 +vn 0.0284 -0.7372 -0.6751 +vn 0.2032 -0.6719 0.7122 +vn 0.2226 -0.9747 0.0176 +vn -0.0104 -0.0039 0.9999 +vn -0.2929 0.6379 0.7122 +vn -0.4790 0.8776 0.0176 +vn -0.4596 0.5748 -0.6770 +vn -0.2461 -0.0932 -0.9648 +vn 0.0365 -0.7350 -0.6770 +vn 0.1953 -0.6740 0.7125 +vn 0.2147 -0.9765 0.0186 +vn -0.0180 -0.0068 0.9998 +vn -0.3003 0.6343 0.7124 +vn -0.4861 0.8737 0.0186 +vn -0.4667 0.5712 -0.6752 +vn -0.2534 -0.0960 -0.9626 +vn 0.0288 -0.7370 -0.6752 +vn 0.1947 -0.6741 0.7125 +vn -0.0186 -0.0070 0.9998 +vn -0.3007 0.6340 0.7125 +vn -0.4865 0.8735 0.0187 +vn -0.4672 0.5709 -0.6751 +vn -0.2540 -0.0962 -0.9624 +vn 0.0282 -0.7372 -0.6751 +vn 0.2031 -0.6719 0.7123 +vn 0.2228 -0.9747 0.0176 +vn -0.2927 0.6380 0.7123 +vn -0.4789 0.8777 0.0176 +vn -0.2463 -0.0932 -0.9647 +vn 0.0363 -0.7350 -0.6771 +vn -0.6437 0.2858 0.7099 +vn -0.6437 0.2857 0.7099 +vn -0.8629 0.5052 0.0137 +vn -0.0249 -0.0530 0.9983 +vn -0.0249 -0.0531 0.9983 +vn 0.6311 -0.3127 0.7099 +vn 0.6310 -0.3128 0.7099 +vn 0.9399 -0.3412 0.0137 +vn 0.7207 -0.1217 -0.6825 +vn 0.7208 -0.1217 -0.6824 +vn 0.1020 0.2171 -0.9708 +vn -0.5540 0.4768 -0.6825 +vn -0.6459 0.2820 0.7094 +vn -0.8651 0.5015 0.0132 +vn -0.0272 -0.0571 0.9980 +vn 0.6290 -0.3173 0.7097 +vn 0.9382 -0.3459 0.0131 +vn 0.7189 -0.1262 -0.6836 +vn 0.0997 0.2130 -0.9720 +vn -0.5564 0.4730 -0.6832 +vn -0.6556 0.2608 0.7086 +vn -0.8771 0.4802 0.0082 +vn -0.0278 -0.0677 0.9973 +vn 0.6339 -0.3115 0.7079 +vn 0.9441 -0.3294 0.0146 +vn 0.7254 -0.1126 -0.6790 +vn 0.1042 0.2137 -0.9713 +vn -0.5604 0.4600 -0.6887 +vn -0.6653 0.2461 0.7048 +vn -0.8866 0.4625 0.0067 +vn -0.0333 -0.0668 0.9972 +vn 0.6375 -0.2920 0.7130 +vn 0.9543 -0.2982 0.0213 +vn 0.7343 -0.0830 -0.6737 +vn 0.1051 0.2286 -0.9678 +vn -0.5670 0.4550 -0.6867 +vn -0.6413 0.3000 0.7062 +vn -0.8557 0.5171 0.0198 +vn -0.0361 -0.0440 0.9984 +vn 0.6186 -0.3181 0.7184 +vn 0.9340 -0.3568 0.0157 +vn 0.7110 -0.1324 -0.6907 +vn 0.0866 0.2182 -0.9721 +vn -0.5595 0.4850 -0.6721 +vn -0.5605 0.4140 0.7172 +vn -0.7671 0.6406 0.0358 +vn -0.0070 -0.0094 0.9999 +vn 0.5859 -0.3923 0.7091 +vn 0.8642 -0.5031 -0.0063 +vn 0.6460 -0.2649 -0.7159 +vn 0.0684 0.1735 -0.9825 +vn -0.5130 0.5448 -0.6634 +vn -0.4522 0.5208 0.7240 +vn -0.6512 0.7577 0.0424 +vn 0.0413 0.0224 0.9989 +vn 0.5526 -0.4574 0.6967 +vn 0.7759 -0.6304 -0.0231 +vn 0.5677 -0.3827 -0.7289 +vn 0.0567 0.1325 -0.9896 +vn -0.4453 0.6015 -0.6632 +vn -0.3976 0.5563 0.7297 +vn -0.5965 0.8017 0.0378 +vn 0.0733 0.0203 0.9971 +vn 0.5407 -0.4935 0.6813 +vn 0.7301 -0.6826 -0.0330 +vn 0.5306 -0.4363 -0.7267 +vn 0.0589 0.1013 -0.9931 +vn -0.4080 0.6142 -0.6755 +vn -0.4004 0.5488 0.7338 +vn -0.6025 0.7974 0.0341 +vn 0.0767 0.0079 0.9970 +vn 0.5427 -0.5013 0.6739 +vn 0.7282 -0.6844 -0.0363 +vn 0.5309 -0.4415 -0.7233 +vn 0.0629 0.0900 -0.9940 +vn -0.4079 0.6051 -0.6837 +vn 0.5180 0.5365 0.6663 +vn 0.9286 0.3681 0.0474 +vn -0.1730 0.3447 0.9226 +vn -0.7397 -0.0948 0.6663 +vn -0.7397 -0.0948 0.6662 +vn -0.8500 -0.5247 0.0474 +vn -0.8500 -0.5246 0.0474 +vn -0.4393 -0.6931 -0.5715 +vn -0.4394 -0.6931 -0.5715 +vn 0.2517 -0.5013 -0.8278 +vn 0.8183 -0.0618 -0.5715 +vn 0.5162 0.5408 0.6641 +vn 0.9270 0.3723 0.0449 +vn -0.1751 0.3490 0.9206 +vn -0.7421 -0.0908 0.6641 +vn -0.8525 -0.5208 0.0449 +vn -0.4416 -0.6893 -0.5743 +vn 0.2497 -0.4975 -0.8308 +vn 0.8166 -0.0577 -0.5743 +vn 0.5149 0.5440 0.6626 +vn 0.9258 0.3755 0.0431 +vn -0.1767 0.3521 0.9191 +vn -0.7439 -0.0878 0.6625 +vn -0.8543 -0.5181 0.0431 +vn -0.4433 -0.6866 -0.5763 +vn 0.2483 -0.4947 -0.8329 +vn 0.8154 -0.0548 -0.5763 +vn 0.5173 0.5379 0.6656 +vn 0.9281 0.3695 0.0465 +vn -0.1738 0.3462 0.9219 +vn -0.7405 -0.0934 0.6655 +vn -0.8508 -0.5234 0.0465 +vn -0.4401 -0.6918 -0.5725 +vn 0.2510 -0.5000 -0.8288 +vn 0.8177 -0.0604 -0.5725 +vn 0.5174 0.5377 0.6657 +vn 0.9282 0.3693 0.0466 +vn -0.1737 0.3459 0.9220 +vn -0.7403 -0.0936 0.6657 +vn -0.8507 -0.5236 0.0467 +vn -0.4400 -0.6920 -0.5723 +vn 0.2511 -0.5002 -0.8287 +vn 0.8178 -0.0606 -0.5723 +vn 0.5155 0.5426 0.6632 +vn 0.9264 0.3741 0.0439 +vn -0.1760 0.3507 0.9198 +vn -0.7431 -0.0891 0.6632 +vn -0.8535 -0.5193 0.0439 +vn -0.4426 -0.6878 -0.5754 +vn 0.2490 -0.4959 -0.8319 +vn 0.8160 -0.0560 -0.5753 +vn 0.5174 0.5380 0.6655 +vn 0.9280 0.3696 0.0466 +vn -0.7405 -0.0935 0.6655 +vn -0.8508 -0.5234 0.0466 +vn -0.4402 -0.6918 -0.5724 +vn 0.8177 -0.0604 -0.5724 +vn 0.5172 0.5378 0.6658 +vn 0.9281 0.3693 0.0468 +vn -0.7403 -0.0937 0.6658 +vn -0.4401 -0.6920 -0.5723 +vn 0.2511 -0.5003 -0.8287 +vn 0.8179 -0.0607 -0.5722 +vn 0.5150 0.5427 0.6635 +vn 0.9264 0.3740 0.0442 +vn -0.1761 0.3507 0.9198 +vn -0.7429 -0.0890 0.6634 +vn -0.4427 -0.6878 -0.5753 +vn 0.2489 -0.4959 -0.8319 +vn 0.8161 -0.0562 -0.5751 +vn -0.6558 0.4515 0.6051 +vn -0.6557 0.4515 0.6051 +vn -0.3454 0.9319 0.1108 +vn -0.5239 -0.2641 0.8098 +vn -0.0271 -0.7957 0.6051 +vn 0.5437 -0.8319 0.1108 +vn 0.8540 -0.3516 -0.3834 +vn 0.7222 0.3640 -0.5881 +vn 0.7222 0.3640 -0.5882 +vn 0.2254 0.8956 -0.3834 +vn 0.2254 0.8957 -0.3834 +vn -0.6616 0.4495 0.6002 +vn -0.3509 0.9305 0.1053 +vn -0.5296 -0.2669 0.8052 +vn -0.0322 -0.7992 0.6002 +vn 0.5393 -0.8355 0.1053 +vn 0.8500 -0.3545 -0.3896 +vn 0.7180 0.3619 -0.5946 +vn 0.2206 0.8942 -0.3896 +vn -0.6661 0.4480 0.5964 +vn -0.3551 0.9294 0.1010 +vn -0.5340 -0.2691 0.8015 +vn -0.0361 -0.8019 0.5964 +vn 0.5359 -0.8382 0.1010 +vn 0.8469 -0.3568 -0.3943 +vn 0.7148 0.3603 -0.5994 +vn 0.2169 0.8930 -0.3943 +vn -0.6579 0.4508 0.6033 +vn -0.3473 0.9314 0.1089 +vn -0.5260 -0.2651 0.8081 +vn -0.0289 -0.7970 0.6033 +vn 0.5421 -0.8332 0.1089 +vn 0.8526 -0.3527 -0.3856 +vn 0.7207 0.3633 -0.5905 +vn 0.2237 0.8951 -0.3856 +vn -0.6574 0.4510 0.6037 +vn -0.3469 0.9315 0.1093 +vn -0.5254 -0.2649 0.8086 +vn -0.0284 -0.7967 0.6037 +vn 0.5425 -0.8329 0.1093 +vn 0.8529 -0.3524 -0.3851 +vn 0.7210 0.3634 -0.5899 +vn 0.2241 0.8953 -0.3851 +vn -0.6642 0.4486 0.5980 +vn -0.3533 0.9299 0.1029 +vn -0.5321 -0.2682 0.8031 +vn -0.0344 -0.8008 0.5980 +vn 0.5374 -0.8371 0.1029 +vn 0.8483 -0.3558 -0.3922 +vn 0.7162 0.3610 -0.5973 +vn 0.2185 0.8935 -0.3922 +vn -0.5259 -0.2651 0.8081 +vn 0.8526 -0.3526 -0.3856 +vn 0.2236 0.8951 -0.3856 +vn -0.6573 0.4510 0.6038 +vn -0.5255 -0.2649 0.8085 +vn -0.0286 -0.7967 0.6038 +vn 0.5425 -0.8329 0.1094 +vn 0.8530 -0.3523 -0.3851 +vn 0.2240 0.8953 -0.3851 +vn -0.6640 0.4486 0.5982 +vn -0.3532 0.9299 0.1029 +vn -0.5322 -0.2681 0.8030 +vn -0.0348 -0.8007 0.5980 +vn 0.5374 -0.8370 0.1030 +vn 0.2185 0.8936 -0.3922 +vn -0.8682 -0.4391 0.2310 +vn -0.8683 -0.4391 0.2310 +vn -0.9548 0.2951 0.0348 +vn -0.2714 -0.9104 0.3123 +vn 0.4861 -0.8428 0.2310 +vn 0.9606 -0.2759 0.0348 +vn 0.9606 -0.2758 0.0348 +vn 0.8740 0.4583 -0.1615 +vn 0.2771 0.9297 -0.2428 +vn 0.2771 0.9296 -0.2428 +vn -0.4804 0.8620 -0.1615 +vn -0.4804 0.8621 -0.1615 +vn -0.8684 -0.4396 0.2292 +vn -0.9550 0.2947 0.0329 +vn -0.2716 -0.9109 0.3105 +vn 0.4860 -0.8434 0.2292 +vn 0.9605 -0.2763 0.0329 +vn 0.8739 0.4578 -0.1633 +vn 0.2770 0.9292 -0.2447 +vn -0.4806 0.8616 -0.1634 +vn -0.8686 -0.4400 0.2280 +vn -0.9552 0.2943 0.0316 +vn -0.2717 -0.9114 0.3093 +vn 0.4859 -0.8438 0.2279 +vn 0.9604 -0.2768 0.0316 +vn 0.8738 0.4575 -0.1647 +vn 0.2769 0.9289 -0.2460 +vn -0.4807 0.8613 -0.1647 +vn -0.8683 -0.4393 0.2305 +vn -0.9549 0.2950 0.0342 +vn -0.2714 -0.9106 0.3117 +vn 0.4860 -0.8430 0.2305 +vn 0.9605 -0.2761 0.0342 +vn 0.8740 0.4582 -0.1621 +vn 0.2771 0.9295 -0.2434 +vn -0.4805 0.8619 -0.1621 +vn -0.8683 -0.4392 0.2305 +vn -0.2714 -0.9106 0.3118 +vn 0.8740 0.4581 -0.1620 +vn -0.8685 -0.4398 0.2285 +vn -0.9551 0.2944 0.0322 +vn -0.2716 -0.9112 0.3098 +vn 0.4859 -0.8436 0.2285 +vn 0.9604 -0.2766 0.0322 +vn 0.8739 0.4576 -0.1641 +vn 0.2770 0.9290 -0.2454 +vn -0.4807 0.8614 -0.1641 +vn 0.4861 -0.8430 0.2304 +vn 0.9606 -0.2760 0.0342 +vn 0.8739 0.4582 -0.1621 +vn -0.4804 0.8619 -0.1621 +vn -0.8684 -0.4391 0.2304 +vn -0.2715 -0.9105 0.3118 +vn 0.4863 -0.8428 0.2305 +vn 0.9606 -0.2758 0.0342 +vn 0.8739 0.4583 -0.1621 +vn 0.2770 0.9295 -0.2434 +vn -0.8686 -0.4397 0.2284 +vn -0.9550 0.2948 0.0321 +vn -0.2718 -0.9111 0.3098 +vn 0.4862 -0.8434 0.2285 +vn 0.9606 -0.2759 0.0320 +vn 0.2769 0.9290 -0.2454 +vn -0.4808 0.8614 -0.1640 +vn 0.4791 0.3927 0.7850 +vn 0.4790 0.3927 0.7850 +vn 0.9136 0.2896 0.2856 +vn -0.0843 0.0949 0.9919 +vn -0.4465 -0.4294 0.7850 +vn -0.4465 -0.4293 0.7850 +vn -0.3954 -0.8730 0.2856 +vn 0.0390 -0.9761 -0.2139 +vn 0.0391 -0.9761 -0.2139 +vn 0.6024 -0.6783 -0.4208 +vn 0.9646 -0.1540 -0.2139 +vn 0.4719 0.4111 0.7800 +vn 0.9112 0.3068 0.2750 +vn -0.0977 0.1100 0.9891 +vn -0.4639 -0.4200 0.7800 +vn -0.4123 -0.8686 0.2750 +vn 0.0271 -0.9728 -0.2300 +vn 0.5966 -0.6717 -0.4391 +vn 0.9628 -0.1417 -0.2300 +vn 0.4650 0.4282 0.7749 +vn 0.9086 0.3229 0.2649 +vn -0.1102 0.1241 0.9861 +vn -0.4801 -0.4112 0.7749 +vn -0.4280 -0.8641 0.2649 +vn 0.0156 -0.9694 -0.2451 +vn 0.5909 -0.6653 -0.4564 +vn 0.9607 -0.1300 -0.2451 +vn 0.4756 0.4017 0.7826 +vn 0.9124 0.2980 0.2804 +vn -0.0908 0.1023 0.9906 +vn -0.4550 -0.4248 0.7826 +vn -0.4037 -0.8709 0.2804 +vn 0.0331 -0.9745 -0.2218 +vn 0.5996 -0.6751 -0.4298 +vn 0.9638 -0.1480 -0.2218 +vn 0.4776 0.3966 0.7840 +vn 0.9131 0.2932 0.2834 +vn -0.0871 0.0981 0.9914 +vn -0.4502 -0.4274 0.7840 +vn -0.3990 -0.8721 0.2834 +vn 0.0365 -0.9754 -0.2173 +vn 0.6012 -0.6769 -0.4246 +vn 0.9643 -0.1514 -0.2172 +vn 0.4679 0.4211 0.7770 +vn 0.9097 0.3162 0.2691 +vn -0.1050 0.1182 0.9874 +vn -0.4734 -0.4149 0.7770 +vn -0.4214 -0.8660 0.2691 +vn 0.0204 -0.9709 -0.2388 +vn 0.5933 -0.6680 -0.4492 +vn 0.9617 -0.1349 -0.2388 +vn 0.4757 0.4017 0.7825 +vn -0.4551 -0.4249 0.7826 +vn 0.4775 0.3966 0.7840 +vn -0.0872 0.0981 0.9914 +vn -0.4503 -0.4274 0.7839 +vn -0.3990 -0.8720 0.2834 +vn 0.6012 -0.6770 -0.4246 +vn 0.4678 0.4211 0.7771 +vn -0.1052 0.1182 0.9874 +vn -0.4735 -0.4149 0.7770 +vn -0.4215 -0.8660 0.2690 +vn 0.0204 -0.9708 -0.2389 +vn 0.9616 -0.1349 -0.2388 +vn -0.4274 -0.7392 0.5206 +vn -0.9244 -0.2619 0.2771 +vn 0.2963 -0.7253 0.6214 +vn 0.8227 -0.2285 0.5205 +vn 0.8434 0.4603 0.2771 +vn 0.3463 0.9375 0.0337 +vn 0.3464 0.9375 0.0337 +vn -0.3773 0.9237 -0.0671 +vn -0.3773 0.9236 -0.0671 +vn -0.9037 0.4268 0.0337 +vn -0.4272 -0.7473 0.5090 +vn -0.9264 -0.2680 0.2645 +vn 0.2996 -0.7334 0.6102 +vn 0.8282 -0.2344 0.5090 +vn 0.8491 0.4573 0.2645 +vn 0.3499 0.9366 0.0201 +vn -0.3769 0.9227 -0.0812 +vn -0.9056 0.4237 0.0201 +vn -0.4270 -0.7540 0.4992 +vn -0.9279 -0.2730 0.2539 +vn 0.3023 -0.7400 0.6008 +vn 0.8328 -0.2393 0.4992 +vn 0.8536 0.4548 0.2539 +vn 0.3527 0.9357 0.0086 +vn -0.3765 0.9217 -0.0930 +vn -0.9070 0.4211 0.0086 +vn -0.4273 -0.7425 0.5158 +vn -0.9253 -0.2644 0.2720 +vn 0.2977 -0.7287 0.6168 +vn 0.8250 -0.2309 0.5158 +vn 0.8457 0.4591 0.2720 +vn 0.3478 0.9372 0.0281 +vn -0.3772 0.9233 -0.0729 +vn -0.9045 0.4256 0.0281 +vn -0.4274 -0.7412 0.5177 +vn -0.9249 -0.2634 0.2740 +vn 0.2971 -0.7273 0.6186 +vn 0.8241 -0.2299 0.5177 +vn 0.8448 0.4595 0.2740 +vn 0.3472 0.9373 0.0304 +vn -0.3772 0.9234 -0.0706 +vn -0.9042 0.4261 0.0304 +vn -0.4271 -0.7511 0.5034 +vn -0.9273 -0.2709 0.2584 +vn 0.3011 -0.7372 0.6049 +vn 0.8308 -0.2372 0.5034 +vn 0.8517 0.4559 0.2585 +vn 0.3515 0.9361 0.0135 +vn -0.3767 0.9221 -0.0880 +vn -0.9064 0.4222 0.0135 +vn -0.9252 -0.2645 0.2720 +vn 0.2977 -0.7286 0.6168 +vn 0.3478 0.9371 0.0281 +vn -0.4274 -0.7411 0.5177 +vn -0.9250 -0.2634 0.2740 +vn 0.2971 -0.7273 0.6187 +vn -0.4273 -0.7510 0.5033 +vn -0.9273 -0.2708 0.2583 +vn 0.3012 -0.7372 0.6049 +vn 0.8309 -0.2372 0.5033 +vn 0.8518 0.4558 0.2584 +vn 0.3514 0.9361 0.0135 +vn -0.9064 0.4223 0.0135 +vn -0.1649 0.7000 0.6949 +vn -0.1649 0.6999 0.6949 +vn 0.0911 0.9949 0.0426 +vn -0.2619 -0.0041 0.9651 +vn -0.1431 -0.7047 0.6949 +vn 0.1220 -0.9916 0.0426 +vn 0.3780 -0.6966 -0.6098 +vn 0.4750 0.0074 -0.8800 +vn 0.4750 0.0074 -0.8799 +vn 0.3562 0.7081 -0.6098 +vn 0.3562 0.7080 -0.6098 +vn -0.1705 0.7003 0.6931 +vn 0.0857 0.9955 0.0404 +vn -0.2676 -0.0042 0.9635 +vn -0.1487 -0.7053 0.6931 +vn 0.1166 -0.9924 0.0404 +vn 0.3728 -0.6972 -0.6124 +vn 0.4698 0.0073 -0.8827 +vn 0.3509 0.7084 -0.6123 +vn -0.1764 0.7007 0.6913 +vn 0.0799 0.9961 0.0381 +vn -0.2736 -0.0042 0.9618 +vn -0.1546 -0.7059 0.6913 +vn 0.1108 -0.9931 0.0381 +vn 0.3672 -0.6977 -0.6151 +vn 0.4643 0.0072 -0.8856 +vn 0.3453 0.7088 -0.6151 +vn -0.4964 0.6263 0.6011 +vn -0.8701 0.4906 -0.0464 +vn -0.8701 0.4907 -0.0464 +vn 0.1935 0.4548 0.8693 +vn 0.1936 0.4548 0.8693 +vn 0.7955 0.0765 0.6011 +vn 0.9568 -0.2869 -0.0463 +vn 0.9568 -0.2869 -0.0464 +vn 0.5831 -0.4226 -0.6938 +vn -0.1069 -0.2511 -0.9620 +vn -0.7088 0.1272 -0.6939 +vn -0.7088 0.1272 -0.6938 +vn -0.4989 0.6215 0.6039 +vn -0.8730 0.4857 -0.0440 +vn 0.1915 0.4499 0.8723 +vn 0.7938 0.0713 0.6039 +vn 0.9553 -0.2924 -0.0440 +vn 0.5813 -0.4282 -0.6919 +vn -0.1092 -0.2566 -0.9603 +vn -0.7116 0.1220 -0.6919 +vn -0.5009 0.6179 0.6060 +vn -0.8751 0.4821 -0.0422 +vn 0.1899 0.4462 0.8746 +vn 0.7926 0.0674 0.6061 +vn 0.9541 -0.2965 -0.0422 +vn 0.5799 -0.4323 -0.6905 +vn -0.1109 -0.2606 -0.9590 +vn -0.7136 0.1182 -0.6905 +vn -0.4972 0.6247 0.6021 +vn -0.8711 0.4890 -0.0456 +vn 0.1929 0.4531 0.8704 +vn 0.7949 0.0747 0.6021 +vn 0.9563 -0.2888 -0.0455 +vn 0.5825 -0.4245 -0.6931 +vn -0.1076 -0.2530 -0.9615 +vn -0.7098 0.1254 -0.6932 +vn -0.4972 0.6250 0.6019 +vn -0.8710 0.4892 -0.0457 +vn 0.1930 0.4534 0.8701 +vn 0.7951 0.0750 0.6019 +vn 0.9564 -0.2885 -0.0457 +vn 0.5826 -0.4242 -0.6932 +vn -0.1075 -0.2526 -0.9616 +vn -0.7096 0.1258 -0.6933 +vn -0.5002 0.6195 0.6050 +vn -0.8742 0.4836 -0.0430 +vn 0.1906 0.4478 0.8736 +vn 0.7932 0.0690 0.6051 +vn 0.9546 -0.2947 -0.0429 +vn 0.5805 -0.4306 -0.6911 +vn -0.1102 -0.2588 -0.9596 +vn -0.7128 0.1199 -0.6911 +vn -0.1368 0.7128 0.6879 +vn 0.1271 0.9915 0.0287 +vn -0.2763 0.0143 0.9610 +vn -0.2095 -0.6949 0.6879 +vn 0.0244 -0.9993 0.0287 +vn 0.2884 -0.7206 -0.6305 +vn 0.4278 -0.0221 -0.9036 +vn 0.3610 0.6871 -0.6305 +vn 0.3611 0.6871 -0.6305 +vn -0.1408 0.7132 0.6866 +vn 0.1232 0.9920 0.0272 +vn -0.2803 0.0145 0.9598 +vn -0.2135 -0.6949 0.6866 +vn 0.0205 -0.9994 0.0272 +vn 0.2845 -0.7206 -0.6322 +vn 0.4240 -0.0219 -0.9054 +vn 0.3572 0.6875 -0.6322 +vn -0.1450 0.7136 0.6853 +vn 0.1192 0.9925 0.0257 +vn -0.2845 0.0147 0.9586 +vn -0.2177 -0.6949 0.6853 +vn 0.0164 -0.9995 0.0257 +vn 0.2806 -0.7206 -0.6340 +vn 0.4201 -0.0217 -0.9072 +vn 0.3532 0.6879 -0.6340 +vn -0.4300 -0.6328 0.6439 +vn -0.4302 -0.6328 0.6438 +vn -0.8383 -0.5453 0.0026 +vn -0.8383 -0.5451 0.0025 +vn 0.2288 -0.3469 0.9096 +vn 0.2284 -0.3470 0.9096 +vn 0.7513 0.1450 0.6438 +vn 0.7514 0.1451 0.6437 +vn 0.8320 0.5547 0.0026 +vn 0.8321 0.5546 0.0027 +vn 0.4240 0.6422 -0.6385 +vn 0.4238 0.6423 -0.6386 +vn -0.2347 0.3565 -0.9043 +vn -0.2349 0.3564 -0.9043 +vn -0.7577 -0.1356 -0.6384 +vn -0.7575 -0.1356 -0.6386 +vn -0.4305 -0.6328 0.6435 +vn -0.8382 -0.5454 0.0025 +vn 0.2285 -0.3472 0.9095 +vn 0.7517 0.1448 0.6434 +vn 0.8323 0.5543 0.0026 +vn 0.4237 0.6421 -0.6389 +vn -0.2347 0.3561 -0.9045 +vn -0.7570 -0.1358 -0.6391 +vn -0.4305 -0.6330 0.6434 +vn -0.8382 -0.5454 0.0022 +vn 0.2288 -0.3475 0.9093 +vn 0.7519 0.1446 0.6432 +vn 0.8324 0.5542 0.0024 +vn 0.4238 0.6419 -0.6390 +vn -0.2343 0.3559 -0.9047 +vn -0.7568 -0.1361 -0.6393 +vn -0.0225 -0.7050 0.7088 +vn -0.0225 -0.7050 0.7089 +vn -0.0668 -0.9977 0.0063 +vn -0.0164 -0.0003 0.9999 +vn -0.0520 0.7034 0.7088 +vn -0.0520 0.7034 0.7089 +vn -0.1084 0.9941 0.0063 +vn -0.1527 0.7013 -0.6963 +vn -0.1589 -0.0033 -0.9873 +vn -0.1233 -0.7071 -0.6963 +vn -0.0180 -0.7052 0.7088 +vn -0.0623 -0.9980 0.0060 +vn -0.0118 -0.0002 0.9999 +vn -0.0474 0.7038 0.7088 +vn -0.1039 0.9946 0.0060 +vn -0.1482 0.7017 -0.6969 +vn -0.1544 -0.0032 -0.9880 +vn -0.1188 -0.7073 -0.6969 +vn -0.0147 -0.7053 0.7088 +vn -0.0590 -0.9982 0.0057 +vn -0.0085 -0.0002 1.0000 +vn -0.0441 0.7041 0.7088 +vn -0.1006 0.9949 0.0057 +vn -0.1449 0.7020 -0.6973 +vn -0.1511 -0.0032 -0.9885 +vn -0.1155 -0.7074 -0.6973 +vn -0.0210 -0.7050 0.7089 +vn -0.0653 -0.9978 0.0062 +vn -0.0149 -0.0003 0.9999 +vn -0.0505 0.7035 0.7089 +vn -0.1069 0.9942 0.0062 +vn -0.1512 0.7014 -0.6965 +vn -0.1574 -0.0033 -0.9875 +vn -0.1218 -0.7072 -0.6965 +vn -0.0212 -0.7050 0.7089 +vn -0.0655 -0.9978 0.0062 +vn -0.0151 -0.0003 0.9999 +vn -0.0507 0.7035 0.7089 +vn -0.1071 0.9942 0.0062 +vn -0.1514 0.7014 -0.6965 +vn -0.1576 -0.0033 -0.9875 +vn -0.1220 -0.7071 -0.6965 +vn -0.0161 -0.7052 0.7088 +vn -0.0604 -0.9982 0.0059 +vn -0.0100 -0.0002 1.0000 +vn -0.0456 0.7039 0.7088 +vn -0.1021 0.9948 0.0059 +vn -0.1464 0.7018 -0.6971 +vn -0.1526 -0.0032 -0.9883 +vn -0.1169 -0.7074 -0.6971 +vn 0.6915 0.2229 0.6871 +vn 0.9997 0.0135 0.0202 +vn 0.9997 0.0135 0.0203 +vn -0.0193 0.2676 0.9633 +vn -0.7164 0.1214 0.6871 +vn -0.9913 -0.1301 0.0203 +vn -0.9913 -0.1301 0.0202 +vn -0.6831 -0.3395 -0.6466 +vn 0.0277 -0.3841 -0.9229 +vn 0.7247 -0.2379 -0.6467 +vn 0.6914 0.2260 0.6862 +vn 0.9997 0.0166 0.0192 +vn -0.0195 0.2707 0.9625 +vn -0.7167 0.1244 0.6862 +vn -0.9917 -0.1271 0.0192 +vn -0.6835 -0.3365 -0.6478 +vn 0.0275 -0.3812 -0.9241 +vn 0.7247 -0.2349 -0.6478 +vn 0.6913 0.2283 0.6856 +vn 0.9997 0.0188 0.0185 +vn -0.0197 0.2729 0.9618 +vn -0.7169 0.1266 0.6856 +vn -0.9920 -0.1249 0.0185 +vn -0.6838 -0.3343 -0.6486 +vn 0.0274 -0.3790 -0.9250 +vn 0.7247 -0.2327 -0.6486 +vn 0.6915 0.2239 0.6868 +vn 0.9997 0.0145 0.0199 +vn -0.0193 0.2686 0.9631 +vn -0.7164 0.1224 0.6869 +vn -0.9914 -0.1291 0.0199 +vn -0.6833 -0.3385 -0.6470 +vn 0.0276 -0.3832 -0.9233 +vn 0.7248 -0.2369 -0.6470 +vn 0.6916 0.2238 0.6868 +vn 0.9997 0.0144 0.0199 +vn -0.0193 0.2685 0.9631 +vn -0.7165 0.1223 0.6868 +vn -0.9914 -0.1292 0.0200 +vn -0.6832 -0.3386 -0.6470 +vn 0.0278 -0.3833 -0.9232 +vn 0.7247 -0.2370 -0.6470 +vn 0.6915 0.2272 0.6857 +vn 0.9997 0.0178 0.0186 +vn -0.0197 0.2719 0.9621 +vn -0.7170 0.1257 0.6857 +vn -0.9919 -0.1258 0.0187 +vn -0.6836 -0.3353 -0.6483 +vn 0.0277 -0.3800 -0.9246 +vn 0.7247 -0.2337 -0.6482 +vn -0.7791 -0.0915 0.6202 +vn -0.7792 -0.0915 0.6201 +vn -0.9034 0.4224 0.0740 +vn -0.9034 0.4223 0.0740 +vn -0.1803 -0.5013 0.8463 +vn -0.1804 -0.5013 0.8463 +vn 0.5423 -0.5670 0.6201 +vn 0.9654 -0.2500 0.0740 +vn 0.8411 0.2638 -0.4721 +vn 0.2423 0.6736 -0.6982 +vn -0.4803 0.7393 -0.4721 +vn -0.4802 0.7393 -0.4721 +vn -0.7814 -0.0959 0.6166 +vn -0.9056 0.4183 0.0703 +vn -0.1821 -0.5061 0.8430 +vn 0.5411 -0.5718 0.6166 +vn 0.9645 -0.2547 0.0703 +vn 0.8402 0.2595 -0.4761 +vn 0.2409 0.6696 -0.7025 +vn -0.4823 0.7353 -0.4762 +vn -0.7837 -0.1006 0.6129 +vn -0.9078 0.4141 0.0663 +vn -0.1838 -0.5112 0.8396 +vn 0.5400 -0.5768 0.6129 +vn 0.9634 -0.2596 0.0663 +vn 0.8392 0.2549 -0.4804 +vn 0.2393 0.6654 -0.7071 +vn -0.4844 0.7311 -0.4805 +vn -0.3392 0.6222 0.7055 +vn -0.2923 0.9561 0.0220 +vn -0.1391 -0.0565 0.9887 +vn 0.1908 -0.6825 0.7055 +vn 0.4573 -0.8890 0.0220 +vn 0.4572 -0.8891 0.0220 +vn 0.5042 -0.5552 -0.6615 +vn 0.5041 -0.5552 -0.6615 +vn 0.3041 0.1235 -0.9446 +vn 0.3040 0.1235 -0.9446 +vn -0.0258 0.7495 -0.6615 +vn -0.0259 0.7495 -0.6615 +vn -0.3437 0.6207 0.7047 +vn -0.2967 0.9548 0.0209 +vn -0.1435 -0.0583 0.9879 +vn 0.1865 -0.6845 0.7047 +vn 0.4532 -0.8912 0.0209 +vn 0.5001 -0.5572 -0.6629 +vn 0.2998 0.1218 -0.9462 +vn -0.0301 0.7481 -0.6629 +vn -0.3485 0.6191 0.7038 +vn -0.3012 0.9533 0.0197 +vn -0.1481 -0.0601 0.9871 +vn 0.1822 -0.6866 0.7038 +vn 0.4490 -0.8933 0.0197 +vn 0.4959 -0.5591 -0.6644 +vn 0.2955 0.1201 -0.9478 +vn -0.0345 0.7466 -0.6644 +vn -0.7102 -0.0473 0.7024 +vn -0.9895 0.1433 0.0183 +vn -0.0118 -0.1673 0.9858 +vn 0.6966 -0.1463 0.7024 +vn 0.6965 -0.1463 0.7025 +vn 0.9998 0.0033 0.0183 +vn 0.9998 0.0033 0.0184 +vn 0.7206 0.1938 -0.6658 +vn 0.7205 0.1939 -0.6658 +vn 0.0221 0.3138 -0.9492 +vn -0.6863 0.2929 -0.6658 +vn -0.6862 0.2929 -0.6658 +vn -0.7107 -0.0511 0.7016 +vn -0.9901 0.1395 0.0174 +vn -0.0118 -0.1711 0.9852 +vn 0.6967 -0.1501 0.7015 +vn 0.9998 -0.0006 0.0175 +vn 0.7205 0.1901 -0.6669 +vn 0.0218 0.3101 -0.9504 +vn -0.6868 0.2891 -0.6669 +vn -0.7113 -0.0551 0.7008 +vn -0.9906 0.1355 0.0167 +vn -0.0119 -0.1752 0.9845 +vn 0.6969 -0.1541 0.7004 +vn 0.9999 -0.0046 0.0166 +vn 0.7205 0.1862 -0.6680 +vn 0.0217 0.3063 -0.9517 +vn -0.6873 0.2852 -0.6680 +s 1 +mtllib leafwood.mtl +usemtl TrunkAndBranches +f 1/1/1 9/2/2 16/3/3 8/4/4 +f 2/5/5 10/6/6 9/7/2 1/8/1 +f 3/9/7 11/10/8 10/6/6 2/5/5 +f 4/11/9 12/12/10 11/10/8 3/9/7 +f 5/13/11 13/14/12 12/12/10 4/11/9 +f 6/15/13 14/16/14 13/14/12 5/13/11 +f 7/17/15 15/18/15 14/16/14 6/15/13 +f 8/4/4 16/3/3 15/18/15 7/17/15 +f 9/2/2 17/19/16 24/20/17 16/3/3 +f 10/6/6 18/21/18 17/22/16 9/7/2 +f 11/10/8 19/23/19 18/21/18 10/6/6 +f 12/12/10 20/24/20 19/23/19 11/10/8 +f 13/14/12 21/25/21 20/24/20 12/12/10 +f 14/16/14 22/26/22 21/25/21 13/14/12 +f 15/18/15 23/27/23 22/26/22 14/16/14 +f 16/3/3 24/20/17 23/27/23 15/18/15 +f 17/19/16 25/28/24 32/29/25 24/20/17 +f 18/21/18 26/30/26 25/31/24 17/22/16 +f 19/23/19 27/32/27 26/30/26 18/21/18 +f 20/24/20 28/33/28 27/32/27 19/23/19 +f 21/25/21 29/34/29 28/33/28 20/24/20 +f 22/26/22 30/35/30 29/34/29 21/25/21 +f 23/27/23 31/36/31 30/35/30 22/26/22 +f 24/20/17 32/29/25 31/36/31 23/27/23 +f 25/28/24 33/37/32 40/38/33 32/29/25 +f 26/30/26 34/39/34 33/40/32 25/31/24 +f 27/32/27 35/41/35 34/39/34 26/30/26 +f 28/33/28 36/42/36 35/41/35 27/32/27 +f 29/34/29 37/43/37 36/42/36 28/33/28 +f 30/35/30 38/44/38 37/43/37 29/34/29 +f 31/36/31 39/45/39 38/44/38 30/35/30 +f 32/29/25 40/38/33 39/45/39 31/36/31 +f 33/37/32 41/46/40 48/47/41 40/38/33 +f 34/39/34 42/48/42 41/49/40 33/40/32 +f 35/41/35 43/50/43 42/48/42 34/39/34 +f 36/42/36 44/51/44 43/50/43 35/41/35 +f 37/43/37 45/52/45 44/51/44 36/42/36 +f 38/44/38 46/53/46 45/52/45 37/43/37 +f 39/45/39 47/54/47 46/53/46 38/44/38 +f 40/38/33 48/47/41 47/54/47 39/45/39 +f 41/46/40 49/55/48 56/56/49 48/47/41 +f 42/48/42 50/57/50 49/58/48 41/49/40 +f 43/50/43 51/59/51 50/57/50 42/48/42 +f 44/51/44 52/60/52 51/59/51 43/50/43 +f 45/52/45 53/61/53 52/60/52 44/51/44 +f 46/53/46 54/62/54 53/61/53 45/52/45 +f 47/54/47 55/63/55 54/62/54 46/53/46 +f 48/47/41 56/56/49 55/63/55 47/54/47 +f 49/55/48 57/64/56 64/65/57 56/56/49 +f 50/57/50 58/66/58 57/67/56 49/58/48 +f 51/59/51 59/68/59 58/66/58 50/57/50 +f 52/60/52 60/69/60 59/68/59 51/59/51 +f 53/61/53 61/70/61 60/69/60 52/60/52 +f 54/62/54 62/71/62 61/70/61 53/61/53 +f 55/63/55 63/72/63 62/71/62 54/62/54 +f 56/56/49 64/65/57 63/72/63 55/63/55 +f 57/64/56 65/73/64 72/74/65 64/65/57 +f 58/66/58 66/75/66 65/76/64 57/67/56 +f 59/68/59 67/77/67 66/75/66 58/66/58 +f 60/69/60 68/78/68 67/77/67 59/68/59 +f 61/70/61 69/79/69 68/78/68 60/69/60 +f 62/71/62 70/80/70 69/79/69 61/70/61 +f 63/72/63 71/81/71 70/80/70 62/71/62 +f 64/65/57 72/74/65 71/81/71 63/72/63 +f 65/73/64 73/82/72 80/83/73 72/74/65 +f 66/75/66 74/84/74 73/85/72 65/76/64 +f 67/77/67 75/86/75 74/84/74 66/75/66 +f 68/78/68 76/87/76 75/86/75 67/77/67 +f 69/79/69 77/88/77 76/87/76 68/78/68 +f 70/80/70 78/89/78 77/88/77 69/79/69 +f 71/81/71 79/90/79 78/89/78 70/80/70 +f 72/74/65 80/83/73 79/90/79 71/81/71 +f 73/82/72 81/91/80 88/92/81 80/83/73 +f 74/84/74 82/93/82 81/94/80 73/85/72 +f 75/86/75 83/95/83 82/93/82 74/84/74 +f 76/87/76 84/96/84 83/95/83 75/86/75 +f 77/88/77 85/97/85 84/96/84 76/87/76 +f 78/89/78 86/98/86 85/97/85 77/88/77 +f 79/90/79 87/99/87 86/98/86 78/89/78 +f 80/83/73 88/92/81 87/99/87 79/90/79 +f 81/91/80 89/100/88 96/101/89 88/92/81 +f 82/93/82 90/102/90 89/103/88 81/94/80 +f 83/95/83 91/104/91 90/102/90 82/93/82 +f 84/96/84 92/105/92 91/104/91 83/95/83 +f 85/97/85 93/106/93 92/105/92 84/96/84 +f 86/98/86 94/107/94 93/106/93 85/97/85 +f 87/99/87 95/108/95 94/107/94 86/98/86 +f 88/92/81 96/101/89 95/108/95 87/99/87 +f 89/100/88 97/109/96 104/110/97 96/101/89 +f 90/102/90 98/111/98 97/112/96 89/103/88 +f 91/104/91 99/113/99 98/111/98 90/102/90 +f 92/105/92 100/114/100 99/113/99 91/104/91 +f 93/106/93 101/115/101 100/114/100 92/105/92 +f 94/107/94 102/116/102 101/115/101 93/106/93 +f 95/108/95 103/117/103 102/116/102 94/107/94 +f 96/101/89 104/110/97 103/117/103 95/108/95 +f 97/109/96 105/118/104 112/119/105 104/110/97 +f 98/111/98 106/120/106 105/121/104 97/112/96 +f 99/113/99 107/122/107 106/120/106 98/111/98 +f 100/114/100 108/123/108 107/122/107 99/113/99 +f 101/115/101 109/124/109 108/123/108 100/114/100 +f 102/116/102 110/125/110 109/124/109 101/115/101 +f 103/117/103 111/126/111 110/125/110 102/116/102 +f 104/110/97 112/119/105 111/126/111 103/117/103 +f 105/118/104 113/127/112 120/128/113 112/119/105 +f 106/120/106 114/129/114 113/130/112 105/121/104 +f 107/122/107 115/131/115 114/129/114 106/120/106 +f 108/123/108 116/132/116 115/131/115 107/122/107 +f 109/124/109 117/133/117 116/132/116 108/123/108 +f 110/125/110 118/134/118 117/133/117 109/124/109 +f 111/126/111 119/135/119 118/134/118 110/125/110 +f 112/119/105 120/128/113 119/135/119 111/126/111 +f 113/127/112 121/136/120 128/137/121 120/128/113 +f 114/129/114 122/138/122 121/139/120 113/130/112 +f 115/131/115 123/140/123 122/138/122 114/129/114 +f 116/132/116 124/141/124 123/140/123 115/131/115 +f 117/133/117 125/142/125 124/141/124 116/132/116 +f 118/134/118 126/143/126 125/142/125 117/133/117 +f 119/135/119 127/144/127 126/143/126 118/134/118 +f 120/128/113 128/137/121 127/144/127 119/135/119 +f 121/136/120 129/145/128 136/146/129 128/137/121 +f 122/138/122 130/147/130 129/148/128 121/139/120 +f 123/140/123 131/149/131 130/147/130 122/138/122 +f 124/141/124 132/150/132 131/149/131 123/140/123 +f 125/142/125 133/151/133 132/150/132 124/141/124 +f 126/143/126 134/152/134 133/151/133 125/142/125 +f 127/144/127 135/153/135 134/152/134 126/143/126 +f 128/137/121 136/146/129 135/153/135 127/144/127 +f 129/145/128 137/154/136 144/155/137 136/146/129 +f 130/147/130 138/156/138 137/157/136 129/148/128 +f 131/149/131 139/158/139 138/156/138 130/147/130 +f 132/150/132 140/159/140 139/158/139 131/149/131 +f 133/151/133 141/160/141 140/159/140 132/150/132 +f 134/152/134 142/161/142 141/160/141 133/151/133 +f 135/153/135 143/162/143 142/161/142 134/152/134 +f 136/146/129 144/155/137 143/162/143 135/153/135 +f 137/154/136 145/163/144 152/164/145 144/155/137 +f 138/156/138 146/165/146 145/166/144 137/157/136 +f 139/158/139 147/167/147 146/165/146 138/156/138 +f 140/159/140 148/168/148 147/167/147 139/158/139 +f 141/160/141 149/169/149 148/168/148 140/159/140 +f 142/161/142 150/170/150 149/169/149 141/160/141 +f 143/162/143 151/171/151 150/170/150 142/161/142 +f 144/155/137 152/164/145 151/171/151 143/162/143 +f 145/163/144 153/172/152 160/173/153 152/164/145 +f 146/165/146 154/174/154 153/175/152 145/166/144 +f 147/167/147 155/176/155 154/174/154 146/165/146 +f 148/168/148 156/177/156 155/176/155 147/167/147 +f 149/169/149 157/178/157 156/177/156 148/168/148 +f 150/170/150 158/179/158 157/178/157 149/169/149 +f 151/171/151 159/180/159 158/179/158 150/170/150 +f 152/164/145 160/173/153 159/180/159 151/171/151 +f 153/172/152 161/181/160 168/182/161 160/173/153 +f 154/174/154 162/183/162 161/184/160 153/175/152 +f 155/176/155 163/185/163 162/183/162 154/174/154 +f 156/177/156 164/186/164 163/185/163 155/176/155 +f 157/178/157 165/187/165 164/186/164 156/177/156 +f 158/179/158 166/188/166 165/187/165 157/178/157 +f 159/180/159 167/189/167 166/188/166 158/179/158 +f 160/173/153 168/182/161 167/189/167 159/180/159 +f 161/181/160 169/190/168 176/191/169 168/182/161 +f 162/183/162 170/192/170 169/193/168 161/184/160 +f 163/185/163 171/194/171 170/192/170 162/183/162 +f 164/186/164 172/195/172 171/194/171 163/185/163 +f 165/187/165 173/196/173 172/195/172 164/186/164 +f 166/188/166 174/197/174 173/196/173 165/187/165 +f 167/189/167 175/198/175 174/197/174 166/188/166 +f 168/182/161 176/191/169 175/198/175 167/189/167 +f 169/190/168 177/199/176 184/200/177 176/191/169 +f 170/192/170 178/201/178 177/202/176 169/193/168 +f 171/194/171 179/203/179 178/201/178 170/192/170 +f 172/195/172 180/204/180 179/203/179 171/194/171 +f 173/196/173 181/205/181 180/204/180 172/195/172 +f 174/197/174 182/206/182 181/205/181 173/196/173 +f 175/198/175 183/207/183 182/206/182 174/197/174 +f 176/191/169 184/200/177 183/207/183 175/198/175 +f 177/199/176 185/208/184 192/209/185 184/200/177 +f 178/201/178 186/210/186 185/211/184 177/202/176 +f 179/203/179 187/212/187 186/210/186 178/201/178 +f 180/204/180 188/213/188 187/212/187 179/203/179 +f 181/205/181 189/214/189 188/213/188 180/204/180 +f 182/206/182 190/215/190 189/214/189 181/205/181 +f 183/207/183 191/216/191 190/215/190 182/206/182 +f 184/200/177 192/209/185 191/216/191 183/207/183 +f 185/208/184 193/217/192 200/218/193 192/209/185 +f 186/210/186 194/219/194 193/220/192 185/211/184 +f 187/212/187 195/221/195 194/219/194 186/210/186 +f 188/213/188 196/222/196 195/221/195 187/212/187 +f 189/214/189 197/223/197 196/222/196 188/213/188 +f 190/215/190 198/224/198 197/223/197 189/214/189 +f 191/216/191 199/225/199 198/224/198 190/215/190 +f 192/209/185 200/218/193 199/225/199 191/216/191 +f 201/226/200 209/227/201 216/228/202 208/229/203 +f 202/230/204 210/231/205 209/232/201 201/233/200 +f 203/234/206 211/235/207 210/231/205 202/230/204 +f 204/236/208 212/237/209 211/235/207 203/234/206 +f 205/238/210 213/239/211 212/237/209 204/236/208 +f 206/240/212 214/241/213 213/239/211 205/238/210 +f 207/242/214 215/243/215 214/241/213 206/240/212 +f 208/229/203 216/228/202 215/243/215 207/242/214 +f 209/227/201 217/244/216 224/245/217 216/228/202 +f 210/231/205 218/246/218 217/247/216 209/232/201 +f 211/235/207 219/248/219 218/246/218 210/231/205 +f 212/237/209 220/249/220 219/248/219 211/235/207 +f 213/239/211 221/250/221 220/249/220 212/237/209 +f 214/241/213 222/251/222 221/250/221 213/239/211 +f 215/243/215 223/252/223 222/251/222 214/241/213 +f 216/228/202 224/245/217 223/252/223 215/243/215 +f 217/244/216 225/253/224 232/254/225 224/245/217 +f 218/246/218 226/255/226 225/256/224 217/247/216 +f 219/248/219 227/257/227 226/255/226 218/246/218 +f 220/249/220 228/258/228 227/257/227 219/248/219 +f 221/250/221 229/259/229 228/258/228 220/249/220 +f 222/251/222 230/260/230 229/259/229 221/250/221 +f 223/252/223 231/261/231 230/260/230 222/251/222 +f 224/245/217 232/254/225 231/261/231 223/252/223 +f 225/253/224 233/262/232 240/263/233 232/254/225 +f 226/255/226 234/264/234 233/265/232 225/256/224 +f 227/257/227 235/266/235 234/264/234 226/255/226 +f 228/258/228 236/267/236 235/266/235 227/257/227 +f 229/259/229 237/268/237 236/267/236 228/258/228 +f 230/260/230 238/269/238 237/268/237 229/259/229 +f 231/261/231 239/270/239 238/269/238 230/260/230 +f 232/254/225 240/263/233 239/270/239 231/261/231 +f 233/262/232 241/271/240 248/272/241 240/263/233 +f 234/264/234 242/273/242 241/274/240 233/265/232 +f 235/266/235 243/275/243 242/273/242 234/264/234 +f 236/267/236 244/276/244 243/275/243 235/266/235 +f 237/268/237 245/277/245 244/276/244 236/267/236 +f 238/269/238 246/278/246 245/277/245 237/268/237 +f 239/270/239 247/279/247 246/278/246 238/269/238 +f 240/263/233 248/272/241 247/279/247 239/270/239 +f 241/271/240 249/280/248 256/281/249 248/272/241 +f 242/273/242 250/282/250 249/283/248 241/274/240 +f 243/275/243 251/284/251 250/282/250 242/273/242 +f 244/276/244 252/285/252 251/284/251 243/275/243 +f 245/277/245 253/286/253 252/285/252 244/276/244 +f 246/278/246 254/287/254 253/286/253 245/277/245 +f 247/279/247 255/288/255 254/287/254 246/278/246 +f 248/272/241 256/281/249 255/288/255 247/279/247 +f 249/280/248 257/289/256 264/290/257 256/281/249 +f 250/282/250 258/291/258 257/292/256 249/283/248 +f 251/284/251 259/293/259 258/291/258 250/282/250 +f 252/285/252 260/294/260 259/293/259 251/284/251 +f 253/286/253 261/295/261 260/294/260 252/285/252 +f 254/287/254 262/296/262 261/295/261 253/286/253 +f 255/288/255 263/297/263 262/296/262 254/287/254 +f 256/281/249 264/290/257 263/297/263 255/288/255 +f 257/289/256 265/298/264 272/299/265 264/290/257 +f 258/291/258 266/300/266 265/301/264 257/292/256 +f 259/293/259 267/302/267 266/300/266 258/291/258 +f 260/294/260 268/303/268 267/302/267 259/293/259 +f 261/295/261 269/304/269 268/303/268 260/294/260 +f 262/296/262 270/305/270 269/304/269 261/295/261 +f 263/297/263 271/306/271 270/305/270 262/296/262 +f 264/290/257 272/299/265 271/306/271 263/297/263 +f 265/298/264 273/307/272 280/308/273 272/299/265 +f 266/300/266 274/309/274 273/310/272 265/301/264 +f 267/302/267 275/311/275 274/309/274 266/300/266 +f 268/303/268 276/312/276 275/311/275 267/302/267 +f 269/304/269 277/313/277 276/312/276 268/303/268 +f 270/305/270 278/314/278 277/313/277 269/304/269 +f 271/306/271 279/315/279 278/314/278 270/305/270 +f 272/299/265 280/308/273 279/315/279 271/306/271 +f 273/307/272 281/316/280 288/317/281 280/308/273 +f 274/309/274 282/318/282 281/319/280 273/310/272 +f 275/311/275 283/320/283 282/318/282 274/309/274 +f 276/312/276 284/321/284 283/320/283 275/311/275 +f 277/313/277 285/322/285 284/321/284 276/312/276 +f 278/314/278 286/323/286 285/322/285 277/313/277 +f 279/315/279 287/324/287 286/323/286 278/314/278 +f 280/308/273 288/317/281 287/324/287 279/315/279 +f 281/316/280 289/325/288 296/326/289 288/317/281 +f 282/318/282 290/327/290 289/328/288 281/319/280 +f 283/320/283 291/329/291 290/327/290 282/318/282 +f 284/321/284 292/330/292 291/329/291 283/320/283 +f 285/322/285 293/331/293 292/330/292 284/321/284 +f 286/323/286 294/332/294 293/331/293 285/322/285 +f 287/324/287 295/333/295 294/332/294 286/323/286 +f 288/317/281 296/326/289 295/333/295 287/324/287 +f 289/325/288 297/334/296 304/335/297 296/326/289 +f 290/327/290 298/336/298 297/337/296 289/328/288 +f 291/329/291 299/338/299 298/336/298 290/327/290 +f 292/330/292 300/339/300 299/338/299 291/329/291 +f 293/331/293 301/340/301 300/339/300 292/330/292 +f 294/332/294 302/341/302 301/340/301 293/331/293 +f 295/333/295 303/342/303 302/341/302 294/332/294 +f 296/326/289 304/335/297 303/342/303 295/333/295 +f 297/334/296 305/343/304 312/344/305 304/335/297 +f 298/336/298 306/345/306 305/346/304 297/337/296 +f 299/338/299 307/347/307 306/345/306 298/336/298 +f 300/339/300 308/348/308 307/347/307 299/338/299 +f 301/340/301 309/349/309 308/348/308 300/339/300 +f 302/341/302 310/350/310 309/349/309 301/340/301 +f 303/342/303 311/351/311 310/350/310 302/341/302 +f 304/335/297 312/344/305 311/351/311 303/342/303 +f 305/343/304 313/352/312 320/353/313 312/344/305 +f 306/345/306 314/354/314 313/355/312 305/346/304 +f 307/347/307 315/356/315 314/354/314 306/345/306 +f 308/348/308 316/357/316 315/356/315 307/347/307 +f 309/349/309 317/358/317 316/357/316 308/348/308 +f 310/350/310 318/359/318 317/358/317 309/349/309 +f 311/351/311 319/360/319 318/359/318 310/350/310 +f 312/344/305 320/353/313 319/360/319 311/351/311 +f 313/352/312 321/361/320 328/362/321 320/353/313 +f 314/354/314 322/363/322 321/364/320 313/355/312 +f 315/356/315 323/365/323 322/363/322 314/354/314 +f 316/357/316 324/366/324 323/365/323 315/356/315 +f 317/358/317 325/367/325 324/366/324 316/357/316 +f 318/359/318 326/368/326 325/367/325 317/358/317 +f 319/360/319 327/369/327 326/368/326 318/359/318 +f 320/353/313 328/362/321 327/369/327 319/360/319 +f 329/370/328 337/371/329 344/372/330 336/373/331 +f 330/374/332 338/375/333 337/376/329 329/377/328 +f 331/378/334 339/379/335 338/375/333 330/374/332 +f 332/380/336 340/381/337 339/379/335 331/378/334 +f 333/382/338 341/383/339 340/381/337 332/380/336 +f 334/384/340 342/385/341 341/383/339 333/382/338 +f 335/386/342 343/387/343 342/385/341 334/384/340 +f 336/373/331 344/372/330 343/387/343 335/386/342 +f 337/371/329 345/388/344 352/389/345 344/372/330 +f 338/375/333 346/390/346 345/391/344 337/376/329 +f 339/379/335 347/392/347 346/390/346 338/375/333 +f 340/381/337 348/393/348 347/392/347 339/379/335 +f 341/383/339 349/394/349 348/393/348 340/381/337 +f 342/385/341 350/395/350 349/394/349 341/383/339 +f 343/387/343 351/396/351 350/395/350 342/385/341 +f 344/372/330 352/389/345 351/396/351 343/387/343 +f 345/388/344 353/397/352 360/398/353 352/389/345 +f 346/390/346 354/399/354 353/400/352 345/391/344 +f 347/392/347 355/401/355 354/399/354 346/390/346 +f 348/393/348 356/402/356 355/401/355 347/392/347 +f 349/394/349 357/403/357 356/402/356 348/393/348 +f 350/395/350 358/404/358 357/403/357 349/394/349 +f 351/396/351 359/405/359 358/404/358 350/395/350 +f 352/389/345 360/398/353 359/405/359 351/396/351 +f 353/397/352 361/406/360 368/407/361 360/398/353 +f 354/399/354 362/408/362 361/409/360 353/400/352 +f 355/401/355 363/410/363 362/408/362 354/399/354 +f 356/402/356 364/411/364 363/410/363 355/401/355 +f 357/403/357 365/412/365 364/411/364 356/402/356 +f 358/404/358 366/413/366 365/412/365 357/403/357 +f 359/405/359 367/414/367 366/413/366 358/404/358 +f 360/398/353 368/407/361 367/414/367 359/405/359 +f 361/406/360 369/415/368 376/416/369 368/407/361 +f 362/408/362 370/417/370 369/418/368 361/409/360 +f 363/410/363 371/419/371 370/417/370 362/408/362 +f 364/411/364 372/420/372 371/419/371 363/410/363 +f 365/412/365 373/421/373 372/420/372 364/411/364 +f 366/413/366 374/422/374 373/421/373 365/412/365 +f 367/414/367 375/423/375 374/422/374 366/413/366 +f 368/407/361 376/416/369 375/423/375 367/414/367 +f 369/415/368 377/424/376 384/425/377 376/416/369 +f 370/417/370 378/426/378 377/427/376 369/418/368 +f 371/419/371 379/428/379 378/426/378 370/417/370 +f 372/420/372 380/429/380 379/428/379 371/419/371 +f 373/421/373 381/430/381 380/429/380 372/420/372 +f 374/422/374 382/431/382 381/430/381 373/421/373 +f 375/423/375 383/432/383 382/431/382 374/422/374 +f 376/416/369 384/425/377 383/432/383 375/423/375 +f 377/424/376 385/433/384 392/434/385 384/425/377 +f 378/426/378 386/435/386 385/436/384 377/427/376 +f 379/428/379 387/437/387 386/435/386 378/426/378 +f 380/429/380 388/438/388 387/437/387 379/428/379 +f 381/430/381 389/439/389 388/438/388 380/429/380 +f 382/431/382 390/440/390 389/439/389 381/430/381 +f 383/432/383 391/441/391 390/440/390 382/431/382 +f 384/425/377 392/434/385 391/441/391 383/432/383 +f 385/433/384 393/442/392 400/443/393 392/434/385 +f 386/435/386 394/444/394 393/445/392 385/436/384 +f 387/437/387 395/446/395 394/444/394 386/435/386 +f 388/438/388 396/447/396 395/446/395 387/437/387 +f 389/439/389 397/448/397 396/447/396 388/438/388 +f 390/440/390 398/449/398 397/448/397 389/439/389 +f 391/441/391 399/450/399 398/449/398 390/440/390 +f 392/434/385 400/443/393 399/450/399 391/441/391 +f 393/442/392 401/451/400 408/452/401 400/443/393 +f 394/444/394 402/453/402 401/454/400 393/445/392 +f 395/446/395 403/455/403 402/453/402 394/444/394 +f 396/447/396 404/456/404 403/455/403 395/446/395 +f 397/448/397 405/457/405 404/456/404 396/447/396 +f 398/449/398 406/458/406 405/457/405 397/448/397 +f 399/450/399 407/459/407 406/458/406 398/449/398 +f 400/443/393 408/452/401 407/459/407 399/450/399 +f 401/451/400 409/460/408 416/461/409 408/452/401 +f 402/453/402 410/462/410 409/463/408 401/454/400 +f 403/455/403 411/464/411 410/462/410 402/453/402 +f 404/456/404 412/465/412 411/464/411 403/455/403 +f 405/457/405 413/466/413 412/465/412 404/456/404 +f 406/458/406 414/467/414 413/466/413 405/457/405 +f 407/459/407 415/468/415 414/467/414 406/458/406 +f 408/452/401 416/461/409 415/468/415 407/459/407 +f 409/460/408 417/469/416 424/470/417 416/461/409 +f 410/462/410 418/471/418 417/472/416 409/463/408 +f 411/464/411 419/473/419 418/471/418 410/462/410 +f 412/465/412 420/474/420 419/473/419 411/464/411 +f 413/466/413 421/475/421 420/474/420 412/465/412 +f 414/467/414 422/476/422 421/475/421 413/466/413 +f 415/468/415 423/477/423 422/476/422 414/467/414 +f 416/461/409 424/470/417 423/477/423 415/468/415 +f 417/469/416 425/478/424 432/479/425 424/470/417 +f 418/471/418 426/480/426 425/481/424 417/472/416 +f 419/473/419 427/482/427 426/480/426 418/471/418 +f 420/474/420 428/483/428 427/482/427 419/473/419 +f 421/475/421 429/484/429 428/483/428 420/474/420 +f 422/476/422 430/485/430 429/484/429 421/475/421 +f 423/477/423 431/486/431 430/485/430 422/476/422 +f 424/470/417 432/479/425 431/486/431 423/477/423 +f 425/478/424 433/487/432 440/488/433 432/479/425 +f 426/480/426 434/489/434 433/490/432 425/481/424 +f 427/482/427 435/491/435 434/489/434 426/480/426 +f 428/483/428 436/492/436 435/491/435 427/482/427 +f 429/484/429 437/493/437 436/492/436 428/483/428 +f 430/485/430 438/494/438 437/493/437 429/484/429 +f 431/486/431 439/495/439 438/494/438 430/485/430 +f 432/479/425 440/488/433 439/495/439 431/486/431 +f 433/487/432 441/496/440 448/497/441 440/488/433 +f 434/489/434 442/498/442 441/499/440 433/490/432 +f 435/491/435 443/500/443 442/498/442 434/489/434 +f 436/492/436 444/501/444 443/500/443 435/491/435 +f 437/493/437 445/502/445 444/501/444 436/492/436 +f 438/494/438 446/503/446 445/502/445 437/493/437 +f 439/495/439 447/504/447 446/503/446 438/494/438 +f 440/488/433 448/497/441 447/504/447 439/495/439 +f 441/496/440 449/505/448 456/506/449 448/497/441 +f 442/498/442 450/507/450 449/508/448 441/499/440 +f 443/500/443 451/509/451 450/507/450 442/498/442 +f 444/501/444 452/510/452 451/509/451 443/500/443 +f 445/502/445 453/511/453 452/510/452 444/501/444 +f 446/503/446 454/512/454 453/511/453 445/502/445 +f 447/504/447 455/513/455 454/512/454 446/503/446 +f 448/497/441 456/506/449 455/513/455 447/504/447 +f 457/514/456 465/515/457 472/516/458 464/517/459 +f 458/518/460 466/519/461 465/520/457 457/521/456 +f 459/522/462 467/523/463 466/519/461 458/518/460 +f 460/524/464 468/525/465 467/523/463 459/522/462 +f 461/526/466 469/527/467 468/525/465 460/524/464 +f 462/528/468 470/529/469 469/527/467 461/526/466 +f 463/530/470 471/531/471 470/529/469 462/528/468 +f 464/517/459 472/516/458 471/531/471 463/530/470 +f 465/515/457 473/532/472 480/533/473 472/516/458 +f 466/519/461 474/534/474 473/535/472 465/520/457 +f 467/523/463 475/536/475 474/534/474 466/519/461 +f 468/525/465 476/537/476 475/536/475 467/523/463 +f 469/527/467 477/538/477 476/537/476 468/525/465 +f 470/529/469 478/539/478 477/538/477 469/527/467 +f 471/531/471 479/540/479 478/539/478 470/529/469 +f 472/516/458 480/533/473 479/540/479 471/531/471 +f 473/532/472 481/541/480 488/542/481 480/533/473 +f 474/534/474 482/543/482 481/544/480 473/535/472 +f 475/536/475 483/545/483 482/543/482 474/534/474 +f 476/537/476 484/546/484 483/545/483 475/536/475 +f 477/538/477 485/547/485 484/546/484 476/537/476 +f 478/539/478 486/548/486 485/547/485 477/538/477 +f 479/540/479 487/549/487 486/548/486 478/539/478 +f 480/533/473 488/542/481 487/549/487 479/540/479 +f 481/541/480 489/550/488 496/551/489 488/542/481 +f 482/543/482 490/552/490 489/553/488 481/544/480 +f 483/545/483 491/554/491 490/552/490 482/543/482 +f 484/546/484 492/555/492 491/554/491 483/545/483 +f 485/547/485 493/556/493 492/555/492 484/546/484 +f 486/548/486 494/557/494 493/556/493 485/547/485 +f 487/549/487 495/558/495 494/557/494 486/548/486 +f 488/542/481 496/551/489 495/558/495 487/549/487 +f 489/550/488 497/559/496 504/560/497 496/551/489 +f 490/552/490 498/561/498 497/562/496 489/553/488 +f 491/554/491 499/563/499 498/561/498 490/552/490 +f 492/555/492 500/564/500 499/563/499 491/554/491 +f 493/556/493 501/565/501 500/564/500 492/555/492 +f 494/557/494 502/566/502 501/565/501 493/556/493 +f 495/558/495 503/567/503 502/566/502 494/557/494 +f 496/551/489 504/560/497 503/567/503 495/558/495 +f 497/559/496 505/568/504 512/569/505 504/560/497 +f 498/561/498 506/570/506 505/571/504 497/562/496 +f 499/563/499 507/572/507 506/570/506 498/561/498 +f 500/564/500 508/573/508 507/572/507 499/563/499 +f 501/565/501 509/574/509 508/573/508 500/564/500 +f 502/566/502 510/575/510 509/574/509 501/565/501 +f 503/567/503 511/576/511 510/575/510 502/566/502 +f 504/560/497 512/569/505 511/576/511 503/567/503 +f 505/568/504 513/577/512 520/578/513 512/569/505 +f 506/570/506 514/579/514 513/580/512 505/571/504 +f 507/572/507 515/581/515 514/579/514 506/570/506 +f 508/573/508 516/582/516 515/581/515 507/572/507 +f 509/574/509 517/583/517 516/582/516 508/573/508 +f 510/575/510 518/584/518 517/583/517 509/574/509 +f 511/576/511 519/585/519 518/584/518 510/575/510 +f 512/569/505 520/578/513 519/585/519 511/576/511 +f 513/577/512 521/586/520 528/587/521 520/578/513 +f 514/579/514 522/588/522 521/589/520 513/580/512 +f 515/581/515 523/590/523 522/588/522 514/579/514 +f 516/582/516 524/591/524 523/590/523 515/581/515 +f 517/583/517 525/592/525 524/591/524 516/582/516 +f 518/584/518 526/593/526 525/592/525 517/583/517 +f 519/585/519 527/594/527 526/593/526 518/584/518 +f 520/578/513 528/587/521 527/594/527 519/585/519 +f 521/586/520 529/595/528 536/596/529 528/587/521 +f 522/588/522 530/597/530 529/598/528 521/589/520 +f 523/590/523 531/599/531 530/597/530 522/588/522 +f 524/591/524 532/600/532 531/599/531 523/590/523 +f 525/592/525 533/601/533 532/600/532 524/591/524 +f 526/593/526 534/602/534 533/601/533 525/592/525 +f 527/594/527 535/603/535 534/602/534 526/593/526 +f 528/587/521 536/596/529 535/603/535 527/594/527 +f 529/595/528 537/604/536 544/605/537 536/596/529 +f 530/597/530 538/606/538 537/607/536 529/598/528 +f 531/599/531 539/608/539 538/606/538 530/597/530 +f 532/600/532 540/609/540 539/608/539 531/599/531 +f 533/601/533 541/610/541 540/609/540 532/600/532 +f 534/602/534 542/611/542 541/610/541 533/601/533 +f 535/603/535 543/612/543 542/611/542 534/602/534 +f 536/596/529 544/605/537 543/612/543 535/603/535 +f 537/604/536 545/613/544 552/614/545 544/605/537 +f 538/606/538 546/615/546 545/616/544 537/607/536 +f 539/608/539 547/617/547 546/615/546 538/606/538 +f 540/609/540 548/618/548 547/617/547 539/608/539 +f 541/610/541 549/619/549 548/618/548 540/609/540 +f 542/611/542 550/620/550 549/619/549 541/610/541 +f 543/612/543 551/621/551 550/620/550 542/611/542 +f 544/605/537 552/614/545 551/621/551 543/612/543 +f 545/613/544 553/622/552 560/623/553 552/614/545 +f 546/615/546 554/624/554 553/625/552 545/616/544 +f 547/617/547 555/626/555 554/624/554 546/615/546 +f 548/618/548 556/627/556 555/626/555 547/617/547 +f 549/619/549 557/628/557 556/627/556 548/618/548 +f 550/620/550 558/629/558 557/628/557 549/619/549 +f 551/621/551 559/630/559 558/629/558 550/620/550 +f 552/614/545 560/623/553 559/630/559 551/621/551 +f 553/622/552 561/631/560 568/632/561 560/623/553 +f 554/624/554 562/633/562 561/634/560 553/625/552 +f 555/626/555 563/635/563 562/633/562 554/624/554 +f 556/627/556 564/636/564 563/635/563 555/626/555 +f 557/628/557 565/637/565 564/636/564 556/627/556 +f 558/629/558 566/638/566 565/637/565 557/628/557 +f 559/630/559 567/639/567 566/638/566 558/629/558 +f 560/623/553 568/632/561 567/639/567 559/630/559 +f 561/631/560 569/640/568 576/641/569 568/632/561 +f 562/633/562 570/642/570 569/643/568 561/634/560 +f 563/635/563 571/644/571 570/642/570 562/633/562 +f 564/636/564 572/645/572 571/644/571 563/635/563 +f 565/637/565 573/646/573 572/645/572 564/636/564 +f 566/638/566 574/647/574 573/646/573 565/637/565 +f 567/639/567 575/648/575 574/647/574 566/638/566 +f 568/632/561 576/641/569 575/648/575 567/639/567 +f 569/640/568 577/649/576 584/650/577 576/641/569 +f 570/642/570 578/651/578 577/652/576 569/643/568 +f 571/644/571 579/653/579 578/651/578 570/642/570 +f 572/645/572 580/654/580 579/653/579 571/644/571 +f 573/646/573 581/655/581 580/654/580 572/645/572 +f 574/647/574 582/656/582 581/655/581 573/646/573 +f 575/648/575 583/657/583 582/656/582 574/647/574 +f 576/641/569 584/650/577 583/657/583 575/648/575 +f 585/658/584 593/659/585 600/660/586 592/661/587 +f 586/662/588 594/663/589 593/664/585 585/665/584 +f 587/666/590 595/667/591 594/663/589 586/662/588 +f 588/668/592 596/669/593 595/667/591 587/666/590 +f 589/670/594 597/671/595 596/669/593 588/668/592 +f 590/672/596 598/673/597 597/671/595 589/670/594 +f 591/674/598 599/675/599 598/673/597 590/672/596 +f 592/661/587 600/660/586 599/675/599 591/674/598 +f 593/659/585 601/676/600 608/677/601 600/660/586 +f 594/663/589 602/678/602 601/679/600 593/664/585 +f 595/667/591 603/680/603 602/678/602 594/663/589 +f 596/669/593 604/681/604 603/680/603 595/667/591 +f 597/671/595 605/682/605 604/681/604 596/669/593 +f 598/673/597 606/683/606 605/682/605 597/671/595 +f 599/675/599 607/684/607 606/683/606 598/673/597 +f 600/660/586 608/677/601 607/684/607 599/675/599 +f 601/676/600 609/685/608 616/686/609 608/677/601 +f 602/678/602 610/687/610 609/688/608 601/679/600 +f 603/680/603 611/689/611 610/687/610 602/678/602 +f 604/681/604 612/690/612 611/689/611 603/680/603 +f 605/682/605 613/691/613 612/690/612 604/681/604 +f 606/683/606 614/692/614 613/691/613 605/682/605 +f 607/684/607 615/693/615 614/692/614 606/683/606 +f 608/677/601 616/686/609 615/693/615 607/684/607 +f 609/685/608 617/694/616 624/695/617 616/686/609 +f 610/687/610 618/696/618 617/697/616 609/688/608 +f 611/689/611 619/698/619 618/696/618 610/687/610 +f 612/690/612 620/699/620 619/698/619 611/689/611 +f 613/691/613 621/700/621 620/699/620 612/690/612 +f 614/692/614 622/701/622 621/700/621 613/691/613 +f 615/693/615 623/702/623 622/701/622 614/692/614 +f 616/686/609 624/695/617 623/702/623 615/693/615 +f 617/694/616 625/703/624 632/704/625 624/695/617 +f 618/696/618 626/705/626 625/706/624 617/697/616 +f 619/698/619 627/707/627 626/705/626 618/696/618 +f 620/699/620 628/708/628 627/707/627 619/698/619 +f 621/700/621 629/709/629 628/708/628 620/699/620 +f 622/701/622 630/710/630 629/709/629 621/700/621 +f 623/702/623 631/711/631 630/710/630 622/701/622 +f 624/695/617 632/704/625 631/711/631 623/702/623 +f 625/703/624 633/712/632 640/713/633 632/704/625 +f 626/705/626 634/714/634 633/715/632 625/706/624 +f 627/707/627 635/716/635 634/714/634 626/705/626 +f 628/708/628 636/717/636 635/716/635 627/707/627 +f 629/709/629 637/718/637 636/717/636 628/708/628 +f 630/710/630 638/719/638 637/718/637 629/709/629 +f 631/711/631 639/720/639 638/719/638 630/710/630 +f 632/704/625 640/713/633 639/720/639 631/711/631 +f 633/712/632 641/721/640 648/722/641 640/713/633 +f 634/714/634 642/723/642 641/724/640 633/715/632 +f 635/716/635 643/725/643 642/723/642 634/714/634 +f 636/717/636 644/726/644 643/725/643 635/716/635 +f 637/718/637 645/727/645 644/726/644 636/717/636 +f 638/719/638 646/728/646 645/727/645 637/718/637 +f 639/720/639 647/729/647 646/728/646 638/719/638 +f 640/713/633 648/722/641 647/729/647 639/720/639 +f 641/721/640 649/730/648 656/731/649 648/722/641 +f 642/723/642 650/732/650 649/733/648 641/724/640 +f 643/725/643 651/734/651 650/732/650 642/723/642 +f 644/726/644 652/735/652 651/734/651 643/725/643 +f 645/727/645 653/736/653 652/735/652 644/726/644 +f 646/728/646 654/737/654 653/736/653 645/727/645 +f 647/729/647 655/738/655 654/737/654 646/728/646 +f 648/722/641 656/731/649 655/738/655 647/729/647 +f 649/730/648 657/739/656 664/740/657 656/731/649 +f 650/732/650 658/741/658 657/742/656 649/733/648 +f 651/734/651 659/743/659 658/741/658 650/732/650 +f 652/735/652 660/744/660 659/743/659 651/734/651 +f 653/736/653 661/745/661 660/744/660 652/735/652 +f 654/737/654 662/746/662 661/745/661 653/736/653 +f 655/738/655 663/747/663 662/746/662 654/737/654 +f 656/731/649 664/740/657 663/747/663 655/738/655 +f 657/739/656 665/748/664 672/749/665 664/740/657 +f 658/741/658 666/750/666 665/751/664 657/742/656 +f 659/743/659 667/752/667 666/750/666 658/741/658 +f 660/744/660 668/753/668 667/752/667 659/743/659 +f 661/745/661 669/754/669 668/753/668 660/744/660 +f 662/746/662 670/755/670 669/754/669 661/745/661 +f 663/747/663 671/756/671 670/755/670 662/746/662 +f 664/740/657 672/749/665 671/756/671 663/747/663 +f 665/748/664 673/757/672 680/758/673 672/749/665 +f 666/750/666 674/759/674 673/760/672 665/751/664 +f 667/752/667 675/761/675 674/759/674 666/750/666 +f 668/753/668 676/762/676 675/761/675 667/752/667 +f 669/754/669 677/763/677 676/762/676 668/753/668 +f 670/755/670 678/764/678 677/763/677 669/754/669 +f 671/756/671 679/765/679 678/764/678 670/755/670 +f 672/749/665 680/758/673 679/765/679 671/756/671 +f 673/757/672 681/766/680 688/767/681 680/758/673 +f 674/759/674 682/768/682 681/769/680 673/760/672 +f 675/761/675 683/770/683 682/768/682 674/759/674 +f 676/762/676 684/771/684 683/770/683 675/761/675 +f 677/763/677 685/772/685 684/771/684 676/762/676 +f 678/764/678 686/773/686 685/772/685 677/763/677 +f 679/765/679 687/774/687 686/773/686 678/764/678 +f 680/758/673 688/767/681 687/774/687 679/765/679 +f 681/766/680 689/775/688 696/776/689 688/767/681 +f 682/768/682 690/777/690 689/778/688 681/769/680 +f 683/770/683 691/779/691 690/777/690 682/768/682 +f 684/771/684 692/780/692 691/779/691 683/770/683 +f 685/772/685 693/781/693 692/780/692 684/771/684 +f 686/773/686 694/782/694 693/781/693 685/772/685 +f 687/774/687 695/783/695 694/782/694 686/773/686 +f 688/767/681 696/776/689 695/783/695 687/774/687 +f 689/775/688 697/784/696 704/785/697 696/776/689 +f 690/777/690 698/786/698 697/787/696 689/778/688 +f 691/779/691 699/788/699 698/786/698 690/777/690 +f 692/780/692 700/789/700 699/788/699 691/779/691 +f 693/781/693 701/790/701 700/789/700 692/780/692 +f 694/782/694 702/791/702 701/790/701 693/781/693 +f 695/783/695 703/792/703 702/791/702 694/782/694 +f 696/776/689 704/785/697 703/792/703 695/783/695 +f 697/784/696 705/793/704 712/794/705 704/785/697 +f 698/786/698 706/795/706 705/796/704 697/787/696 +f 699/788/699 707/797/707 706/795/706 698/786/698 +f 700/789/700 708/798/708 707/797/707 699/788/699 +f 701/790/701 709/799/709 708/798/708 700/789/700 +f 702/791/702 710/800/710 709/799/709 701/790/701 +f 703/792/703 711/801/711 710/800/710 702/791/702 +f 704/785/697 712/794/705 711/801/711 703/792/703 +f 713/802/712 721/803/713 728/804/714 720/805/715 +f 714/806/716 722/807/717 721/808/713 713/809/712 +f 715/810/718 723/811/719 722/807/717 714/806/716 +f 716/812/720 724/813/721 723/811/719 715/810/718 +f 717/814/722 725/815/723 724/813/721 716/812/720 +f 718/816/724 726/817/725 725/815/723 717/814/722 +f 719/818/726 727/819/727 726/817/725 718/816/724 +f 720/805/715 728/804/714 727/819/727 719/818/726 +f 721/803/713 729/820/728 736/821/729 728/804/714 +f 722/807/717 730/822/730 729/823/728 721/808/713 +f 723/811/719 731/824/731 730/822/730 722/807/717 +f 724/813/721 732/825/732 731/824/731 723/811/719 +f 725/815/723 733/826/733 732/825/732 724/813/721 +f 726/817/725 734/827/734 733/826/733 725/815/723 +f 727/819/727 735/828/735 734/827/734 726/817/725 +f 728/804/714 736/821/729 735/828/735 727/819/727 +f 729/820/728 737/829/736 744/830/737 736/821/729 +f 730/822/730 738/831/738 737/832/736 729/823/728 +f 731/824/731 739/833/739 738/831/738 730/822/730 +f 732/825/732 740/834/740 739/833/739 731/824/731 +f 733/826/733 741/835/741 740/834/740 732/825/732 +f 734/827/734 742/836/742 741/835/741 733/826/733 +f 735/828/735 743/837/743 742/836/742 734/827/734 +f 736/821/729 744/830/737 743/837/743 735/828/735 +f 737/829/736 745/838/744 752/839/745 744/830/737 +f 738/831/738 746/840/746 745/841/744 737/832/736 +f 739/833/739 747/842/747 746/840/746 738/831/738 +f 740/834/740 748/843/748 747/842/747 739/833/739 +f 741/835/741 749/844/749 748/843/748 740/834/740 +f 742/836/742 750/845/750 749/844/749 741/835/741 +f 743/837/743 751/846/751 750/845/750 742/836/742 +f 744/830/737 752/839/745 751/846/751 743/837/743 +f 745/838/744 753/847/752 760/848/753 752/839/745 +f 746/840/746 754/849/754 753/850/752 745/841/744 +f 747/842/747 755/851/755 754/849/754 746/840/746 +f 748/843/748 756/852/756 755/851/755 747/842/747 +f 749/844/749 757/853/757 756/852/756 748/843/748 +f 750/845/750 758/854/758 757/853/757 749/844/749 +f 751/846/751 759/855/759 758/854/758 750/845/750 +f 752/839/745 760/848/753 759/855/759 751/846/751 +f 753/847/752 761/856/760 768/857/761 760/848/753 +f 754/849/754 762/858/762 761/859/760 753/850/752 +f 755/851/755 763/860/763 762/858/762 754/849/754 +f 756/852/756 764/861/764 763/860/763 755/851/755 +f 757/853/757 765/862/765 764/861/764 756/852/756 +f 758/854/758 766/863/766 765/862/765 757/853/757 +f 759/855/759 767/864/767 766/863/766 758/854/758 +f 760/848/753 768/857/761 767/864/767 759/855/759 +f 761/856/760 769/865/768 776/866/769 768/857/761 +f 762/858/762 770/867/770 769/868/768 761/859/760 +f 763/860/763 771/869/771 770/867/770 762/858/762 +f 764/861/764 772/870/772 771/869/771 763/860/763 +f 765/862/765 773/871/773 772/870/772 764/861/764 +f 766/863/766 774/872/774 773/871/773 765/862/765 +f 767/864/767 775/873/775 774/872/774 766/863/766 +f 768/857/761 776/866/769 775/873/775 767/864/767 +f 769/865/768 777/874/776 784/875/777 776/866/769 +f 770/867/770 778/876/778 777/877/776 769/868/768 +f 771/869/771 779/878/779 778/876/778 770/867/770 +f 772/870/772 780/879/780 779/878/779 771/869/771 +f 773/871/773 781/880/781 780/879/780 772/870/772 +f 774/872/774 782/881/782 781/880/781 773/871/773 +f 775/873/775 783/882/783 782/881/782 774/872/774 +f 776/866/769 784/875/777 783/882/783 775/873/775 +f 777/874/776 785/883/784 792/884/785 784/875/777 +f 778/876/778 786/885/786 785/886/784 777/877/776 +f 779/878/779 787/887/787 786/885/786 778/876/778 +f 780/879/780 788/888/788 787/887/787 779/878/779 +f 781/880/781 789/889/789 788/888/788 780/879/780 +f 782/881/782 790/890/790 789/889/789 781/880/781 +f 783/882/783 791/891/791 790/890/790 782/881/782 +f 784/875/777 792/884/785 791/891/791 783/882/783 +f 785/883/784 793/892/792 800/893/793 792/884/785 +f 786/885/786 794/894/794 793/895/792 785/886/784 +f 787/887/787 795/896/795 794/894/794 786/885/786 +f 788/888/788 796/897/796 795/896/795 787/887/787 +f 789/889/789 797/898/797 796/897/796 788/888/788 +f 790/890/790 798/899/798 797/898/797 789/889/789 +f 791/891/791 799/900/799 798/899/798 790/890/790 +f 792/884/785 800/893/793 799/900/799 791/891/791 +f 793/892/792 801/901/800 808/902/801 800/893/793 +f 794/894/794 802/903/802 801/904/800 793/895/792 +f 795/896/795 803/905/803 802/903/802 794/894/794 +f 796/897/796 804/906/804 803/905/803 795/896/795 +f 797/898/797 805/907/805 804/906/804 796/897/796 +f 798/899/798 806/908/806 805/907/805 797/898/797 +f 799/900/799 807/909/807 806/908/806 798/899/798 +f 800/893/793 808/902/801 807/909/807 799/900/799 +f 801/901/800 809/910/808 816/911/809 808/902/801 +f 802/903/802 810/912/810 809/913/808 801/904/800 +f 803/905/803 811/914/811 810/912/810 802/903/802 +f 804/906/804 812/915/812 811/914/811 803/905/803 +f 805/907/805 813/916/813 812/915/812 804/906/804 +f 806/908/806 814/917/814 813/916/813 805/907/805 +f 807/909/807 815/918/815 814/917/814 806/908/806 +f 808/902/801 816/911/809 815/918/815 807/909/807 +f 809/910/808 817/919/816 824/920/817 816/911/809 +f 810/912/810 818/921/818 817/922/816 809/913/808 +f 811/914/811 819/923/819 818/921/818 810/912/810 +f 812/915/812 820/924/820 819/923/819 811/914/811 +f 813/916/813 821/925/821 820/924/820 812/915/812 +f 814/917/814 822/926/822 821/925/821 813/916/813 +f 815/918/815 823/927/823 822/926/822 814/917/814 +f 816/911/809 824/920/817 823/927/823 815/918/815 +f 817/919/816 825/928/824 832/929/825 824/920/817 +f 818/921/818 826/930/826 825/931/824 817/922/816 +f 819/923/819 827/932/827 826/930/826 818/921/818 +f 820/924/820 828/933/828 827/932/827 819/923/819 +f 821/925/821 829/934/829 828/933/828 820/924/820 +f 822/926/822 830/935/830 829/934/829 821/925/821 +f 823/927/823 831/936/831 830/935/830 822/926/822 +f 824/920/817 832/929/825 831/936/831 823/927/823 +f 825/928/824 833/937/832 840/938/833 832/929/825 +f 826/930/826 834/939/834 833/940/832 825/931/824 +f 827/932/827 835/941/835 834/939/834 826/930/826 +f 828/933/828 836/942/836 835/941/835 827/932/827 +f 829/934/829 837/943/837 836/942/836 828/933/828 +f 830/935/830 838/944/838 837/943/837 829/934/829 +f 831/936/831 839/945/839 838/944/838 830/935/830 +f 832/929/825 840/938/833 839/945/839 831/936/831 +f 841/946/840 849/947/841 856/948/842 848/949/843 +f 842/950/844 850/951/845 849/952/841 841/953/840 +f 843/954/846 851/955/847 850/951/845 842/950/844 +f 844/956/848 852/957/849 851/955/847 843/954/846 +f 845/958/850 853/959/851 852/957/849 844/956/848 +f 846/960/852 854/961/853 853/959/851 845/958/850 +f 847/962/854 855/963/855 854/961/853 846/960/852 +f 848/949/843 856/948/842 855/963/855 847/962/854 +f 849/947/841 857/964/856 864/965/857 856/948/842 +f 850/951/845 858/966/858 857/967/856 849/952/841 +f 851/955/847 859/968/859 858/966/858 850/951/845 +f 852/957/849 860/969/860 859/968/859 851/955/847 +f 853/959/851 861/970/861 860/969/860 852/957/849 +f 854/961/853 862/971/862 861/970/861 853/959/851 +f 855/963/855 863/972/863 862/971/862 854/961/853 +f 856/948/842 864/965/857 863/972/863 855/963/855 +f 857/964/856 865/973/864 872/974/865 864/965/857 +f 858/966/858 866/975/866 865/976/864 857/967/856 +f 859/968/859 867/977/867 866/975/866 858/966/858 +f 860/969/860 868/978/868 867/977/867 859/968/859 +f 861/970/861 869/979/869 868/978/868 860/969/860 +f 862/971/862 870/980/870 869/979/869 861/970/861 +f 863/972/863 871/981/871 870/980/870 862/971/862 +f 864/965/857 872/974/865 871/981/871 863/972/863 +f 865/973/864 873/982/872 880/983/873 872/974/865 +f 866/975/866 874/984/874 873/985/872 865/976/864 +f 867/977/867 875/986/875 874/984/874 866/975/866 +f 868/978/868 876/987/876 875/986/875 867/977/867 +f 869/979/869 877/988/877 876/987/876 868/978/868 +f 870/980/870 878/989/878 877/988/877 869/979/869 +f 871/981/871 879/990/879 878/989/878 870/980/870 +f 872/974/865 880/983/873 879/990/879 871/981/871 +f 873/982/872 881/991/880 888/992/881 880/983/873 +f 874/984/874 882/993/882 881/994/880 873/985/872 +f 875/986/875 883/995/883 882/993/882 874/984/874 +f 876/987/876 884/996/884 883/995/883 875/986/875 +f 877/988/877 885/997/885 884/996/884 876/987/876 +f 878/989/878 886/998/886 885/997/885 877/988/877 +f 879/990/879 887/999/887 886/998/886 878/989/878 +f 880/983/873 888/992/881 887/999/887 879/990/879 +f 881/991/880 889/1000/888 896/1001/889 888/992/881 +f 882/993/882 890/1002/890 889/1003/888 881/994/880 +f 883/995/883 891/1004/891 890/1002/890 882/993/882 +f 884/996/884 892/1005/892 891/1004/891 883/995/883 +f 885/997/885 893/1006/893 892/1005/892 884/996/884 +f 886/998/886 894/1007/894 893/1006/893 885/997/885 +f 887/999/887 895/1008/895 894/1007/894 886/998/886 +f 888/992/881 896/1001/889 895/1008/895 887/999/887 +f 889/1000/888 897/1009/896 904/1010/897 896/1001/889 +f 890/1002/890 898/1011/898 897/1012/896 889/1003/888 +f 891/1004/891 899/1013/899 898/1011/898 890/1002/890 +f 892/1005/892 900/1014/900 899/1013/899 891/1004/891 +f 893/1006/893 901/1015/901 900/1014/900 892/1005/892 +f 894/1007/894 902/1016/902 901/1015/901 893/1006/893 +f 895/1008/895 903/1017/903 902/1016/902 894/1007/894 +f 896/1001/889 904/1010/897 903/1017/903 895/1008/895 +f 897/1009/896 905/1018/904 912/1019/905 904/1010/897 +f 898/1011/898 906/1020/906 905/1021/904 897/1012/896 +f 899/1013/899 907/1022/907 906/1020/906 898/1011/898 +f 900/1014/900 908/1023/908 907/1022/907 899/1013/899 +f 901/1015/901 909/1024/909 908/1023/908 900/1014/900 +f 902/1016/902 910/1025/910 909/1024/909 901/1015/901 +f 903/1017/903 911/1026/911 910/1025/910 902/1016/902 +f 904/1010/897 912/1019/905 911/1026/911 903/1017/903 +f 905/1018/904 913/1027/912 920/1028/913 912/1019/905 +f 906/1020/906 914/1029/914 913/1030/912 905/1021/904 +f 907/1022/907 915/1031/915 914/1029/914 906/1020/906 +f 908/1023/908 916/1032/916 915/1031/915 907/1022/907 +f 909/1024/909 917/1033/917 916/1032/916 908/1023/908 +f 910/1025/910 918/1034/918 917/1033/917 909/1024/909 +f 911/1026/911 919/1035/919 918/1034/918 910/1025/910 +f 912/1019/905 920/1028/913 919/1035/919 911/1026/911 +f 913/1027/912 921/1036/920 928/1037/921 920/1028/913 +f 914/1029/914 922/1038/922 921/1039/920 913/1030/912 +f 915/1031/915 923/1040/923 922/1038/922 914/1029/914 +f 916/1032/916 924/1041/924 923/1040/923 915/1031/915 +f 917/1033/917 925/1042/925 924/1041/924 916/1032/916 +f 918/1034/918 926/1043/926 925/1042/925 917/1033/917 +f 919/1035/919 927/1044/927 926/1043/926 918/1034/918 +f 920/1028/913 928/1037/921 927/1044/927 919/1035/919 +f 921/1036/920 929/1045/928 936/1046/929 928/1037/921 +f 922/1038/922 930/1047/930 929/1048/928 921/1039/920 +f 923/1040/923 931/1049/931 930/1047/930 922/1038/922 +f 924/1041/924 932/1050/932 931/1049/931 923/1040/923 +f 925/1042/925 933/1051/933 932/1050/932 924/1041/924 +f 926/1043/926 934/1052/934 933/1051/933 925/1042/925 +f 927/1044/927 935/1053/935 934/1052/934 926/1043/926 +f 928/1037/921 936/1046/929 935/1053/935 927/1044/927 +f 929/1045/928 937/1054/936 944/1055/937 936/1046/929 +f 930/1047/930 938/1056/938 937/1057/936 929/1048/928 +f 931/1049/931 939/1058/939 938/1056/938 930/1047/930 +f 932/1050/932 940/1059/940 939/1058/939 931/1049/931 +f 933/1051/933 941/1060/941 940/1059/940 932/1050/932 +f 934/1052/934 942/1061/942 941/1060/941 933/1051/933 +f 935/1053/935 943/1062/943 942/1061/942 934/1052/934 +f 936/1046/929 944/1055/937 943/1062/943 935/1053/935 +f 937/1054/936 945/1063/944 952/1064/945 944/1055/937 +f 938/1056/938 946/1065/946 945/1066/944 937/1057/936 +f 939/1058/939 947/1067/947 946/1065/946 938/1056/938 +f 940/1059/940 948/1068/948 947/1067/947 939/1058/939 +f 941/1060/941 949/1069/949 948/1068/948 940/1059/940 +f 942/1061/942 950/1070/950 949/1069/949 941/1060/941 +f 943/1062/943 951/1071/951 950/1070/950 942/1061/942 +f 944/1055/937 952/1064/945 951/1071/951 943/1062/943 +f 945/1063/944 953/1072/952 960/1073/953 952/1064/945 +f 946/1065/946 954/1074/954 953/1075/952 945/1066/944 +f 947/1067/947 955/1076/955 954/1074/954 946/1065/946 +f 948/1068/948 956/1077/956 955/1076/955 947/1067/947 +f 949/1069/949 957/1078/957 956/1077/956 948/1068/948 +f 950/1070/950 958/1079/958 957/1078/957 949/1069/949 +f 951/1071/951 959/1080/959 958/1079/958 950/1070/950 +f 952/1064/945 960/1073/953 959/1080/959 951/1071/951 +f 953/1072/952 961/1081/960 968/1082/961 960/1073/953 +f 954/1074/954 962/1083/962 961/1084/960 953/1075/952 +f 955/1076/955 963/1085/963 962/1083/962 954/1074/954 +f 956/1077/956 964/1086/964 963/1085/963 955/1076/955 +f 957/1078/957 965/1087/965 964/1086/964 956/1077/956 +f 958/1079/958 966/1088/966 965/1087/965 957/1078/957 +f 959/1080/959 967/1089/967 966/1088/966 958/1079/958 +f 960/1073/953 968/1082/961 967/1089/967 959/1080/959 +f 969/1090/968 977/1091/969 984/1092/970 976/1093/971 +f 970/1094/972 978/1095/973 977/1096/969 969/1097/968 +f 971/1098/974 979/1099/975 978/1095/973 970/1094/972 +f 972/1100/976 980/1101/977 979/1099/975 971/1098/974 +f 973/1102/978 981/1103/979 980/1101/977 972/1100/976 +f 974/1104/980 982/1105/981 981/1103/979 973/1102/978 +f 975/1106/982 983/1107/983 982/1105/981 974/1104/980 +f 976/1093/971 984/1092/970 983/1107/983 975/1106/982 +f 977/1091/969 985/1108/984 992/1109/985 984/1092/970 +f 978/1095/973 986/1110/986 985/1111/984 977/1096/969 +f 979/1099/975 987/1112/987 986/1110/986 978/1095/973 +f 980/1101/977 988/1113/988 987/1112/987 979/1099/975 +f 981/1103/979 989/1114/989 988/1113/988 980/1101/977 +f 982/1105/981 990/1115/990 989/1114/989 981/1103/979 +f 983/1107/983 991/1116/991 990/1115/990 982/1105/981 +f 984/1092/970 992/1109/985 991/1116/991 983/1107/983 +f 985/1108/984 993/1117/992 1000/1118/993 992/1109/985 +f 986/1110/986 994/1119/994 993/1120/992 985/1111/984 +f 987/1112/987 995/1121/995 994/1119/994 986/1110/986 +f 988/1113/988 996/1122/996 995/1121/995 987/1112/987 +f 989/1114/989 997/1123/997 996/1122/996 988/1113/988 +f 990/1115/990 998/1124/998 997/1123/997 989/1114/989 +f 991/1116/991 999/1125/999 998/1124/998 990/1115/990 +f 992/1109/985 1000/1118/993 999/1125/999 991/1116/991 +f 993/1117/992 1001/1126/1000 1008/1127/1001 1000/1118/993 +f 994/1119/994 1002/1128/1002 1001/1129/1000 993/1120/992 +f 995/1121/995 1003/1130/1003 1002/1128/1002 994/1119/994 +f 996/1122/996 1004/1131/1004 1003/1130/1003 995/1121/995 +f 997/1123/997 1005/1132/1005 1004/1131/1004 996/1122/996 +f 998/1124/998 1006/1133/1006 1005/1132/1005 997/1123/997 +f 999/1125/999 1007/1134/1007 1006/1133/1006 998/1124/998 +f 1000/1118/993 1008/1127/1001 1007/1134/1007 999/1125/999 +f 1001/1126/1000 1009/1135/1008 1016/1136/1009 1008/1127/1001 +f 1002/1128/1002 1010/1137/1010 1009/1138/1008 1001/1129/1000 +f 1003/1130/1003 1011/1139/1011 1010/1137/1010 1002/1128/1002 +f 1004/1131/1004 1012/1140/1012 1011/1139/1011 1003/1130/1003 +f 1005/1132/1005 1013/1141/1013 1012/1140/1012 1004/1131/1004 +f 1006/1133/1006 1014/1142/1014 1013/1141/1013 1005/1132/1005 +f 1007/1134/1007 1015/1143/1015 1014/1142/1014 1006/1133/1006 +f 1008/1127/1001 1016/1136/1009 1015/1143/1015 1007/1134/1007 +f 1009/1135/1008 1017/1144/1016 1024/1145/1017 1016/1136/1009 +f 1010/1137/1010 1018/1146/1018 1017/1147/1016 1009/1138/1008 +f 1011/1139/1011 1019/1148/1019 1018/1146/1018 1010/1137/1010 +f 1012/1140/1012 1020/1149/1020 1019/1148/1019 1011/1139/1011 +f 1013/1141/1013 1021/1150/1021 1020/1149/1020 1012/1140/1012 +f 1014/1142/1014 1022/1151/1022 1021/1150/1021 1013/1141/1013 +f 1015/1143/1015 1023/1152/1023 1022/1151/1022 1014/1142/1014 +f 1016/1136/1009 1024/1145/1017 1023/1152/1023 1015/1143/1015 +f 1017/1144/1016 1025/1153/1024 1032/1154/1025 1024/1145/1017 +f 1018/1146/1018 1026/1155/1026 1025/1156/1024 1017/1147/1016 +f 1019/1148/1019 1027/1157/1027 1026/1155/1026 1018/1146/1018 +f 1020/1149/1020 1028/1158/1028 1027/1157/1027 1019/1148/1019 +f 1021/1150/1021 1029/1159/1029 1028/1158/1028 1020/1149/1020 +f 1022/1151/1022 1030/1160/1030 1029/1159/1029 1021/1150/1021 +f 1023/1152/1023 1031/1161/1031 1030/1160/1030 1022/1151/1022 +f 1024/1145/1017 1032/1154/1025 1031/1161/1031 1023/1152/1023 +f 1025/1153/1024 1033/1162/1032 1040/1163/1033 1032/1154/1025 +f 1026/1155/1026 1034/1164/1034 1033/1165/1032 1025/1156/1024 +f 1027/1157/1027 1035/1166/1035 1034/1164/1034 1026/1155/1026 +f 1028/1158/1028 1036/1167/1036 1035/1166/1035 1027/1157/1027 +f 1029/1159/1029 1037/1168/1037 1036/1167/1036 1028/1158/1028 +f 1030/1160/1030 1038/1169/1038 1037/1168/1037 1029/1159/1029 +f 1031/1161/1031 1039/1170/1039 1038/1169/1038 1030/1160/1030 +f 1032/1154/1025 1040/1163/1033 1039/1170/1039 1031/1161/1031 +f 1033/1162/1032 1041/1171/1040 1048/1172/1041 1040/1163/1033 +f 1034/1164/1034 1042/1173/1042 1041/1174/1040 1033/1165/1032 +f 1035/1166/1035 1043/1175/1043 1042/1173/1042 1034/1164/1034 +f 1036/1167/1036 1044/1176/1044 1043/1175/1043 1035/1166/1035 +f 1037/1168/1037 1045/1177/1045 1044/1176/1044 1036/1167/1036 +f 1038/1169/1038 1046/1178/1046 1045/1177/1045 1037/1168/1037 +f 1039/1170/1039 1047/1179/1047 1046/1178/1046 1038/1169/1038 +f 1040/1163/1033 1048/1172/1041 1047/1179/1047 1039/1170/1039 +f 1041/1171/1040 1049/1180/1048 1056/1181/1049 1048/1172/1041 +f 1042/1173/1042 1050/1182/1050 1049/1183/1048 1041/1174/1040 +f 1043/1175/1043 1051/1184/1051 1050/1182/1050 1042/1173/1042 +f 1044/1176/1044 1052/1185/1052 1051/1184/1051 1043/1175/1043 +f 1045/1177/1045 1053/1186/1053 1052/1185/1052 1044/1176/1044 +f 1046/1178/1046 1054/1187/1054 1053/1186/1053 1045/1177/1045 +f 1047/1179/1047 1055/1188/1055 1054/1187/1054 1046/1178/1046 +f 1048/1172/1041 1056/1181/1049 1055/1188/1055 1047/1179/1047 +f 1049/1180/1048 1057/1189/1056 1064/1190/1057 1056/1181/1049 +f 1050/1182/1050 1058/1191/1058 1057/1192/1056 1049/1183/1048 +f 1051/1184/1051 1059/1193/1059 1058/1191/1058 1050/1182/1050 +f 1052/1185/1052 1060/1194/1060 1059/1193/1059 1051/1184/1051 +f 1053/1186/1053 1061/1195/1061 1060/1194/1060 1052/1185/1052 +f 1054/1187/1054 1062/1196/1062 1061/1195/1061 1053/1186/1053 +f 1055/1188/1055 1063/1197/1063 1062/1196/1062 1054/1187/1054 +f 1056/1181/1049 1064/1190/1057 1063/1197/1063 1055/1188/1055 +f 1057/1189/1056 1065/1198/1064 1072/1199/1065 1064/1190/1057 +f 1058/1191/1058 1066/1200/1066 1065/1201/1064 1057/1192/1056 +f 1059/1193/1059 1067/1202/1067 1066/1200/1066 1058/1191/1058 +f 1060/1194/1060 1068/1203/1068 1067/1202/1067 1059/1193/1059 +f 1061/1195/1061 1069/1204/1069 1068/1203/1068 1060/1194/1060 +f 1062/1196/1062 1070/1205/1070 1069/1204/1069 1061/1195/1061 +f 1063/1197/1063 1071/1206/1071 1070/1205/1070 1062/1196/1062 +f 1064/1190/1057 1072/1199/1065 1071/1206/1071 1063/1197/1063 +f 1065/1198/1064 1073/1207/1072 1080/1208/1073 1072/1199/1065 +f 1066/1200/1066 1074/1209/1074 1073/1210/1072 1065/1201/1064 +f 1067/1202/1067 1075/1211/1075 1074/1209/1074 1066/1200/1066 +f 1068/1203/1068 1076/1212/1076 1075/1211/1075 1067/1202/1067 +f 1069/1204/1069 1077/1213/1077 1076/1212/1076 1068/1203/1068 +f 1070/1205/1070 1078/1214/1078 1077/1213/1077 1069/1204/1069 +f 1071/1206/1071 1079/1215/1079 1078/1214/1078 1070/1205/1070 +f 1072/1199/1065 1080/1208/1073 1079/1215/1079 1071/1206/1071 +f 1073/1207/1072 1081/1216/1080 1088/1217/1081 1080/1208/1073 +f 1074/1209/1074 1082/1218/1082 1081/1219/1080 1073/1210/1072 +f 1075/1211/1075 1083/1220/1083 1082/1218/1082 1074/1209/1074 +f 1076/1212/1076 1084/1221/1084 1083/1220/1083 1075/1211/1075 +f 1077/1213/1077 1085/1222/1085 1084/1221/1084 1076/1212/1076 +f 1078/1214/1078 1086/1223/1086 1085/1222/1085 1077/1213/1077 +f 1079/1215/1079 1087/1224/1087 1086/1223/1086 1078/1214/1078 +f 1080/1208/1073 1088/1217/1081 1087/1224/1087 1079/1215/1079 +f 1081/1216/1080 1089/1225/1088 1096/1226/1089 1088/1217/1081 +f 1082/1218/1082 1090/1227/1090 1089/1228/1088 1081/1219/1080 +f 1083/1220/1083 1091/1229/1091 1090/1227/1090 1082/1218/1082 +f 1084/1221/1084 1092/1230/1092 1091/1229/1091 1083/1220/1083 +f 1085/1222/1085 1093/1231/1093 1092/1230/1092 1084/1221/1084 +f 1086/1223/1086 1094/1232/1094 1093/1231/1093 1085/1222/1085 +f 1087/1224/1087 1095/1233/1095 1094/1232/1094 1086/1223/1086 +f 1088/1217/1081 1096/1226/1089 1095/1233/1095 1087/1224/1087 +f 1097/1234/1096 1105/1235/1097 1112/1236/1098 1104/1237/1099 +f 1098/1238/1100 1106/1239/1101 1105/1240/1097 1097/1241/1096 +f 1099/1242/1102 1107/1243/1103 1106/1239/1101 1098/1238/1100 +f 1100/1244/1104 1108/1245/1105 1107/1243/1103 1099/1242/1102 +f 1101/1246/1106 1109/1247/1107 1108/1245/1105 1100/1244/1104 +f 1102/1248/1108 1110/1249/1109 1109/1247/1107 1101/1246/1106 +f 1103/1250/1110 1111/1251/1111 1110/1249/1109 1102/1248/1108 +f 1104/1237/1099 1112/1236/1098 1111/1251/1111 1103/1250/1110 +f 1105/1235/1097 1113/1252/1112 1120/1253/1113 1112/1236/1098 +f 1106/1239/1101 1114/1254/1114 1113/1255/1112 1105/1240/1097 +f 1107/1243/1103 1115/1256/1115 1114/1254/1114 1106/1239/1101 +f 1108/1245/1105 1116/1257/1116 1115/1256/1115 1107/1243/1103 +f 1109/1247/1107 1117/1258/1117 1116/1257/1116 1108/1245/1105 +f 1110/1249/1109 1118/1259/1118 1117/1258/1117 1109/1247/1107 +f 1111/1251/1111 1119/1260/1119 1118/1259/1118 1110/1249/1109 +f 1112/1236/1098 1120/1253/1113 1119/1260/1119 1111/1251/1111 +f 1113/1252/1112 1121/1261/1120 1128/1262/1121 1120/1253/1113 +f 1114/1254/1114 1122/1263/1122 1121/1264/1120 1113/1255/1112 +f 1115/1256/1115 1123/1265/1123 1122/1263/1122 1114/1254/1114 +f 1116/1257/1116 1124/1266/1124 1123/1265/1123 1115/1256/1115 +f 1117/1258/1117 1125/1267/1125 1124/1266/1124 1116/1257/1116 +f 1118/1259/1118 1126/1268/1126 1125/1267/1125 1117/1258/1117 +f 1119/1260/1119 1127/1269/1127 1126/1268/1126 1118/1259/1118 +f 1120/1253/1113 1128/1262/1121 1127/1269/1127 1119/1260/1119 +f 1121/1261/1120 1129/1270/1128 1136/1271/1129 1128/1262/1121 +f 1122/1263/1122 1130/1272/1130 1129/1273/1128 1121/1264/1120 +f 1123/1265/1123 1131/1274/1131 1130/1272/1130 1122/1263/1122 +f 1124/1266/1124 1132/1275/1132 1131/1274/1131 1123/1265/1123 +f 1125/1267/1125 1133/1276/1133 1132/1275/1132 1124/1266/1124 +f 1126/1268/1126 1134/1277/1134 1133/1276/1133 1125/1267/1125 +f 1127/1269/1127 1135/1278/1135 1134/1277/1134 1126/1268/1126 +f 1128/1262/1121 1136/1271/1129 1135/1278/1135 1127/1269/1127 +f 1129/1270/1128 1137/1279/1136 1144/1280/1137 1136/1271/1129 +f 1130/1272/1130 1138/1281/1138 1137/1282/1136 1129/1273/1128 +f 1131/1274/1131 1139/1283/1139 1138/1281/1138 1130/1272/1130 +f 1132/1275/1132 1140/1284/1140 1139/1283/1139 1131/1274/1131 +f 1133/1276/1133 1141/1285/1141 1140/1284/1140 1132/1275/1132 +f 1134/1277/1134 1142/1286/1142 1141/1285/1141 1133/1276/1133 +f 1135/1278/1135 1143/1287/1143 1142/1286/1142 1134/1277/1134 +f 1136/1271/1129 1144/1280/1137 1143/1287/1143 1135/1278/1135 +f 1137/1279/1136 1145/1288/1144 1152/1289/1145 1144/1280/1137 +f 1138/1281/1138 1146/1290/1146 1145/1291/1144 1137/1282/1136 +f 1139/1283/1139 1147/1292/1147 1146/1290/1146 1138/1281/1138 +f 1140/1284/1140 1148/1293/1148 1147/1292/1147 1139/1283/1139 +f 1141/1285/1141 1149/1294/1149 1148/1293/1148 1140/1284/1140 +f 1142/1286/1142 1150/1295/1150 1149/1294/1149 1141/1285/1141 +f 1143/1287/1143 1151/1296/1151 1150/1295/1150 1142/1286/1142 +f 1144/1280/1137 1152/1289/1145 1151/1296/1151 1143/1287/1143 +f 1145/1288/1144 1153/1297/1152 1160/1298/1153 1152/1289/1145 +f 1146/1290/1146 1154/1299/1154 1153/1300/1152 1145/1291/1144 +f 1147/1292/1147 1155/1301/1155 1154/1299/1154 1146/1290/1146 +f 1148/1293/1148 1156/1302/1156 1155/1301/1155 1147/1292/1147 +f 1149/1294/1149 1157/1303/1157 1156/1302/1156 1148/1293/1148 +f 1150/1295/1150 1158/1304/1158 1157/1303/1157 1149/1294/1149 +f 1151/1296/1151 1159/1305/1159 1158/1304/1158 1150/1295/1150 +f 1152/1289/1145 1160/1298/1153 1159/1305/1159 1151/1296/1151 +f 1153/1297/1152 1161/1306/1160 1168/1307/1161 1160/1298/1153 +f 1154/1299/1154 1162/1308/1162 1161/1309/1160 1153/1300/1152 +f 1155/1301/1155 1163/1310/1163 1162/1308/1162 1154/1299/1154 +f 1156/1302/1156 1164/1311/1164 1163/1310/1163 1155/1301/1155 +f 1157/1303/1157 1165/1312/1165 1164/1311/1164 1156/1302/1156 +f 1158/1304/1158 1166/1313/1166 1165/1312/1165 1157/1303/1157 +f 1159/1305/1159 1167/1314/1167 1166/1313/1166 1158/1304/1158 +f 1160/1298/1153 1168/1307/1161 1167/1314/1167 1159/1305/1159 +f 1161/1306/1160 1169/1315/1168 1176/1316/1169 1168/1307/1161 +f 1162/1308/1162 1170/1317/1170 1169/1318/1168 1161/1309/1160 +f 1163/1310/1163 1171/1319/1171 1170/1317/1170 1162/1308/1162 +f 1164/1311/1164 1172/1320/1172 1171/1319/1171 1163/1310/1163 +f 1165/1312/1165 1173/1321/1173 1172/1320/1172 1164/1311/1164 +f 1166/1313/1166 1174/1322/1174 1173/1321/1173 1165/1312/1165 +f 1167/1314/1167 1175/1323/1175 1174/1322/1174 1166/1313/1166 +f 1168/1307/1161 1176/1316/1169 1175/1323/1175 1167/1314/1167 +f 1169/1315/1168 1177/1324/1176 1184/1325/1177 1176/1316/1169 +f 1170/1317/1170 1178/1326/1178 1177/1327/1176 1169/1318/1168 +f 1171/1319/1171 1179/1328/1179 1178/1326/1178 1170/1317/1170 +f 1172/1320/1172 1180/1329/1180 1179/1328/1179 1171/1319/1171 +f 1173/1321/1173 1181/1330/1181 1180/1329/1180 1172/1320/1172 +f 1174/1322/1174 1182/1331/1182 1181/1330/1181 1173/1321/1173 +f 1175/1323/1175 1183/1332/1183 1182/1331/1182 1174/1322/1174 +f 1176/1316/1169 1184/1325/1177 1183/1332/1183 1175/1323/1175 +f 1177/1324/1176 1185/1333/1184 1192/1334/1185 1184/1325/1177 +f 1178/1326/1178 1186/1335/1186 1185/1336/1184 1177/1327/1176 +f 1179/1328/1179 1187/1337/1187 1186/1335/1186 1178/1326/1178 +f 1180/1329/1180 1188/1338/1188 1187/1337/1187 1179/1328/1179 +f 1181/1330/1181 1189/1339/1189 1188/1338/1188 1180/1329/1180 +f 1182/1331/1182 1190/1340/1190 1189/1339/1189 1181/1330/1181 +f 1183/1332/1183 1191/1341/1191 1190/1340/1190 1182/1331/1182 +f 1184/1325/1177 1192/1334/1185 1191/1341/1191 1183/1332/1183 +f 1185/1333/1184 1193/1342/1192 1200/1343/1193 1192/1334/1185 +f 1186/1335/1186 1194/1344/1194 1193/1345/1192 1185/1336/1184 +f 1187/1337/1187 1195/1346/1195 1194/1344/1194 1186/1335/1186 +f 1188/1338/1188 1196/1347/1196 1195/1346/1195 1187/1337/1187 +f 1189/1339/1189 1197/1348/1197 1196/1347/1196 1188/1338/1188 +f 1190/1340/1190 1198/1349/1198 1197/1348/1197 1189/1339/1189 +f 1191/1341/1191 1199/1350/1199 1198/1349/1198 1190/1340/1190 +f 1192/1334/1185 1200/1343/1193 1199/1350/1199 1191/1341/1191 +f 1193/1342/1192 1201/1351/1200 1208/1352/1201 1200/1343/1193 +f 1194/1344/1194 1202/1353/1202 1201/1354/1200 1193/1345/1192 +f 1195/1346/1195 1203/1355/1203 1202/1353/1202 1194/1344/1194 +f 1196/1347/1196 1204/1356/1204 1203/1355/1203 1195/1346/1195 +f 1197/1348/1197 1205/1357/1205 1204/1356/1204 1196/1347/1196 +f 1198/1349/1198 1206/1358/1206 1205/1357/1205 1197/1348/1197 +f 1199/1350/1199 1207/1359/1207 1206/1358/1206 1198/1349/1198 +f 1200/1343/1193 1208/1352/1201 1207/1359/1207 1199/1350/1199 +f 1201/1351/1200 1209/1360/1208 1216/1361/1209 1208/1352/1201 +f 1202/1353/1202 1210/1362/1210 1209/1363/1208 1201/1354/1200 +f 1203/1355/1203 1211/1364/1211 1210/1362/1210 1202/1353/1202 +f 1204/1356/1204 1212/1365/1212 1211/1364/1211 1203/1355/1203 +f 1205/1357/1205 1213/1366/1213 1212/1365/1212 1204/1356/1204 +f 1206/1358/1206 1214/1367/1214 1213/1366/1213 1205/1357/1205 +f 1207/1359/1207 1215/1368/1215 1214/1367/1214 1206/1358/1206 +f 1208/1352/1201 1216/1361/1209 1215/1368/1215 1207/1359/1207 +f 1209/1360/1208 1217/1369/1216 1224/1370/1217 1216/1361/1209 +f 1210/1362/1210 1218/1371/1218 1217/1372/1216 1209/1363/1208 +f 1211/1364/1211 1219/1373/1219 1218/1371/1218 1210/1362/1210 +f 1212/1365/1212 1220/1374/1220 1219/1373/1219 1211/1364/1211 +f 1213/1366/1213 1221/1375/1221 1220/1374/1220 1212/1365/1212 +f 1214/1367/1214 1222/1376/1222 1221/1375/1221 1213/1366/1213 +f 1215/1368/1215 1223/1377/1223 1222/1376/1222 1214/1367/1214 +f 1216/1361/1209 1224/1370/1217 1223/1377/1223 1215/1368/1215 +f 1225/1378/1224 1233/1379/1225 1240/1380/1226 1232/1381/1227 +f 1226/1382/1228 1234/1383/1229 1233/1384/1225 1225/1385/1224 +f 1227/1386/1230 1235/1387/1231 1234/1383/1229 1226/1382/1228 +f 1228/1388/1232 1236/1389/1233 1235/1387/1231 1227/1386/1230 +f 1229/1390/1234 1237/1391/1235 1236/1389/1233 1228/1388/1232 +f 1230/1392/1236 1238/1393/1237 1237/1391/1235 1229/1390/1234 +f 1231/1394/1238 1239/1395/1239 1238/1393/1237 1230/1392/1236 +f 1232/1381/1227 1240/1380/1226 1239/1395/1239 1231/1394/1238 +f 1233/1379/1225 1241/1396/1240 1248/1397/1241 1240/1380/1226 +f 1234/1383/1229 1242/1398/1242 1241/1399/1240 1233/1384/1225 +f 1235/1387/1231 1243/1400/1243 1242/1398/1242 1234/1383/1229 +f 1236/1389/1233 1244/1401/1244 1243/1400/1243 1235/1387/1231 +f 1237/1391/1235 1245/1402/1245 1244/1401/1244 1236/1389/1233 +f 1238/1393/1237 1246/1403/1246 1245/1402/1245 1237/1391/1235 +f 1239/1395/1239 1247/1404/1247 1246/1403/1246 1238/1393/1237 +f 1240/1380/1226 1248/1397/1241 1247/1404/1247 1239/1395/1239 +f 1241/1396/1240 1249/1405/1248 1256/1406/1249 1248/1397/1241 +f 1242/1398/1242 1250/1407/1250 1249/1408/1248 1241/1399/1240 +f 1243/1400/1243 1251/1409/1251 1250/1407/1250 1242/1398/1242 +f 1244/1401/1244 1252/1410/1252 1251/1409/1251 1243/1400/1243 +f 1245/1402/1245 1253/1411/1253 1252/1410/1252 1244/1401/1244 +f 1246/1403/1246 1254/1412/1254 1253/1411/1253 1245/1402/1245 +f 1247/1404/1247 1255/1413/1255 1254/1412/1254 1246/1403/1246 +f 1248/1397/1241 1256/1406/1249 1255/1413/1255 1247/1404/1247 +f 1249/1405/1248 1257/1414/1256 1264/1415/1257 1256/1406/1249 +f 1250/1407/1250 1258/1416/1258 1257/1417/1256 1249/1408/1248 +f 1251/1409/1251 1259/1418/1259 1258/1416/1258 1250/1407/1250 +f 1252/1410/1252 1260/1419/1260 1259/1418/1259 1251/1409/1251 +f 1253/1411/1253 1261/1420/1261 1260/1419/1260 1252/1410/1252 +f 1254/1412/1254 1262/1421/1262 1261/1420/1261 1253/1411/1253 +f 1255/1413/1255 1263/1422/1263 1262/1421/1262 1254/1412/1254 +f 1256/1406/1249 1264/1415/1257 1263/1422/1263 1255/1413/1255 +f 1257/1414/1256 1265/1423/1264 1272/1424/1265 1264/1415/1257 +f 1258/1416/1258 1266/1425/1266 1265/1426/1264 1257/1417/1256 +f 1259/1418/1259 1267/1427/1267 1266/1425/1266 1258/1416/1258 +f 1260/1419/1260 1268/1428/1268 1267/1427/1267 1259/1418/1259 +f 1261/1420/1261 1269/1429/1269 1268/1428/1268 1260/1419/1260 +f 1262/1421/1262 1270/1430/1270 1269/1429/1269 1261/1420/1261 +f 1263/1422/1263 1271/1431/1271 1270/1430/1270 1262/1421/1262 +f 1264/1415/1257 1272/1424/1265 1271/1431/1271 1263/1422/1263 +f 1265/1423/1264 1273/1432/1272 1280/1433/1273 1272/1424/1265 +f 1266/1425/1266 1274/1434/1274 1273/1435/1272 1265/1426/1264 +f 1267/1427/1267 1275/1436/1275 1274/1434/1274 1266/1425/1266 +f 1268/1428/1268 1276/1437/1276 1275/1436/1275 1267/1427/1267 +f 1269/1429/1269 1277/1438/1277 1276/1437/1276 1268/1428/1268 +f 1270/1430/1270 1278/1439/1278 1277/1438/1277 1269/1429/1269 +f 1271/1431/1271 1279/1440/1279 1278/1439/1278 1270/1430/1270 +f 1272/1424/1265 1280/1433/1273 1279/1440/1279 1271/1431/1271 +f 1273/1432/1272 1281/1441/1280 1288/1442/1281 1280/1433/1273 +f 1274/1434/1274 1282/1443/1282 1281/1444/1280 1273/1435/1272 +f 1275/1436/1275 1283/1445/1283 1282/1443/1282 1274/1434/1274 +f 1276/1437/1276 1284/1446/1284 1283/1445/1283 1275/1436/1275 +f 1277/1438/1277 1285/1447/1285 1284/1446/1284 1276/1437/1276 +f 1278/1439/1278 1286/1448/1286 1285/1447/1285 1277/1438/1277 +f 1279/1440/1279 1287/1449/1287 1286/1448/1286 1278/1439/1278 +f 1280/1433/1273 1288/1442/1281 1287/1449/1287 1279/1440/1279 +f 1281/1441/1280 1289/1450/1288 1296/1451/1289 1288/1442/1281 +f 1282/1443/1282 1290/1452/1290 1289/1453/1288 1281/1444/1280 +f 1283/1445/1283 1291/1454/1291 1290/1452/1290 1282/1443/1282 +f 1284/1446/1284 1292/1455/1292 1291/1454/1291 1283/1445/1283 +f 1285/1447/1285 1293/1456/1293 1292/1455/1292 1284/1446/1284 +f 1286/1448/1286 1294/1457/1294 1293/1456/1293 1285/1447/1285 +f 1287/1449/1287 1295/1458/1295 1294/1457/1294 1286/1448/1286 +f 1288/1442/1281 1296/1451/1289 1295/1458/1295 1287/1449/1287 +f 1289/1450/1288 1297/1459/1296 1304/1460/1297 1296/1451/1289 +f 1290/1452/1290 1298/1461/1298 1297/1462/1296 1289/1453/1288 +f 1291/1454/1291 1299/1463/1299 1298/1461/1298 1290/1452/1290 +f 1292/1455/1292 1300/1464/1300 1299/1463/1299 1291/1454/1291 +f 1293/1456/1293 1301/1465/1301 1300/1464/1300 1292/1455/1292 +f 1294/1457/1294 1302/1466/1302 1301/1465/1301 1293/1456/1293 +f 1295/1458/1295 1303/1467/1303 1302/1466/1302 1294/1457/1294 +f 1296/1451/1289 1304/1460/1297 1303/1467/1303 1295/1458/1295 +f 1297/1459/1296 1305/1468/1304 1312/1469/1305 1304/1460/1297 +f 1298/1461/1298 1306/1470/1306 1305/1471/1304 1297/1462/1296 +f 1299/1463/1299 1307/1472/1307 1306/1470/1306 1298/1461/1298 +f 1300/1464/1300 1308/1473/1308 1307/1472/1307 1299/1463/1299 +f 1301/1465/1301 1309/1474/1309 1308/1473/1308 1300/1464/1300 +f 1302/1466/1302 1310/1475/1310 1309/1474/1309 1301/1465/1301 +f 1303/1467/1303 1311/1476/1311 1310/1475/1310 1302/1466/1302 +f 1304/1460/1297 1312/1469/1305 1311/1476/1311 1303/1467/1303 +f 1305/1468/1304 1313/1477/1312 1320/1478/1313 1312/1469/1305 +f 1306/1470/1306 1314/1479/1314 1313/1480/1312 1305/1471/1304 +f 1307/1472/1307 1315/1481/1315 1314/1479/1314 1306/1470/1306 +f 1308/1473/1308 1316/1482/1316 1315/1481/1315 1307/1472/1307 +f 1309/1474/1309 1317/1483/1317 1316/1482/1316 1308/1473/1308 +f 1310/1475/1310 1318/1484/1318 1317/1483/1317 1309/1474/1309 +f 1311/1476/1311 1319/1485/1319 1318/1484/1318 1310/1475/1310 +f 1312/1469/1305 1320/1478/1313 1319/1485/1319 1311/1476/1311 +f 1313/1477/1312 1321/1486/1320 1328/1487/1321 1320/1478/1313 +f 1314/1479/1314 1322/1488/1322 1321/1489/1320 1313/1480/1312 +f 1315/1481/1315 1323/1490/1323 1322/1488/1322 1314/1479/1314 +f 1316/1482/1316 1324/1491/1324 1323/1490/1323 1315/1481/1315 +f 1317/1483/1317 1325/1492/1325 1324/1491/1324 1316/1482/1316 +f 1318/1484/1318 1326/1493/1326 1325/1492/1325 1317/1483/1317 +f 1319/1485/1319 1327/1494/1327 1326/1493/1326 1318/1484/1318 +f 1320/1478/1313 1328/1487/1321 1327/1494/1327 1319/1485/1319 +f 1321/1486/1320 1329/1495/1328 1336/1496/1329 1328/1487/1321 +f 1322/1488/1322 1330/1497/1330 1329/1498/1328 1321/1489/1320 +f 1323/1490/1323 1331/1499/1331 1330/1497/1330 1322/1488/1322 +f 1324/1491/1324 1332/1500/1332 1331/1499/1331 1323/1490/1323 +f 1325/1492/1325 1333/1501/1333 1332/1500/1332 1324/1491/1324 +f 1326/1493/1326 1334/1502/1334 1333/1501/1333 1325/1492/1325 +f 1327/1494/1327 1335/1503/1335 1334/1502/1334 1326/1493/1326 +f 1328/1487/1321 1336/1496/1329 1335/1503/1335 1327/1494/1327 +f 1329/1495/1328 1337/1504/1336 1344/1505/1337 1336/1496/1329 +f 1330/1497/1330 1338/1506/1338 1337/1507/1336 1329/1498/1328 +f 1331/1499/1331 1339/1508/1339 1338/1506/1338 1330/1497/1330 +f 1332/1500/1332 1340/1509/1340 1339/1508/1339 1331/1499/1331 +f 1333/1501/1333 1341/1510/1341 1340/1509/1340 1332/1500/1332 +f 1334/1502/1334 1342/1511/1342 1341/1510/1341 1333/1501/1333 +f 1335/1503/1335 1343/1512/1343 1342/1511/1342 1334/1502/1334 +f 1336/1496/1329 1344/1505/1337 1343/1512/1343 1335/1503/1335 +f 1337/1504/1336 1345/1513/1344 1352/1514/1345 1344/1505/1337 +f 1338/1506/1338 1346/1515/1346 1345/1516/1344 1337/1507/1336 +f 1339/1508/1339 1347/1517/1347 1346/1515/1346 1338/1506/1338 +f 1340/1509/1340 1348/1518/1348 1347/1517/1347 1339/1508/1339 +f 1341/1510/1341 1349/1519/1349 1348/1518/1348 1340/1509/1340 +f 1342/1511/1342 1350/1520/1350 1349/1519/1349 1341/1510/1341 +f 1343/1512/1343 1351/1521/1351 1350/1520/1350 1342/1511/1342 +f 1344/1505/1337 1352/1514/1345 1351/1521/1351 1343/1512/1343 +f 1353/1522/1352 1361/1523/1353 1368/1524/1354 1360/1525/1355 +f 1354/1526/1356 1362/1527/1357 1361/1528/1353 1353/1529/1352 +f 1355/1530/1358 1363/1531/1359 1362/1527/1357 1354/1526/1356 +f 1356/1532/1360 1364/1533/1361 1363/1531/1359 1355/1530/1358 +f 1357/1534/1362 1365/1535/1363 1364/1533/1361 1356/1532/1360 +f 1358/1536/1364 1366/1537/1365 1365/1535/1363 1357/1534/1362 +f 1359/1538/1366 1367/1539/1367 1366/1537/1365 1358/1536/1364 +f 1360/1525/1355 1368/1524/1354 1367/1539/1367 1359/1538/1366 +f 1361/1523/1353 1369/1540/1368 1376/1541/1369 1368/1524/1354 +f 1362/1527/1357 1370/1542/1370 1369/1543/1368 1361/1528/1353 +f 1363/1531/1359 1371/1544/1371 1370/1542/1370 1362/1527/1357 +f 1364/1533/1361 1372/1545/1372 1371/1544/1371 1363/1531/1359 +f 1365/1535/1363 1373/1546/1373 1372/1545/1372 1364/1533/1361 +f 1366/1537/1365 1374/1547/1374 1373/1546/1373 1365/1535/1363 +f 1367/1539/1367 1375/1548/1375 1374/1547/1374 1366/1537/1365 +f 1368/1524/1354 1376/1541/1369 1375/1548/1375 1367/1539/1367 +f 1369/1540/1368 1377/1549/1376 1384/1550/1377 1376/1541/1369 +f 1370/1542/1370 1378/1551/1378 1377/1552/1376 1369/1543/1368 +f 1371/1544/1371 1379/1553/1379 1378/1551/1378 1370/1542/1370 +f 1372/1545/1372 1380/1554/1380 1379/1553/1379 1371/1544/1371 +f 1373/1546/1373 1381/1555/1381 1380/1554/1380 1372/1545/1372 +f 1374/1547/1374 1382/1556/1382 1381/1555/1381 1373/1546/1373 +f 1375/1548/1375 1383/1557/1383 1382/1556/1382 1374/1547/1374 +f 1376/1541/1369 1384/1550/1377 1383/1557/1383 1375/1548/1375 +f 1377/1549/1376 1385/1558/1384 1392/1559/1385 1384/1550/1377 +f 1378/1551/1378 1386/1560/1386 1385/1561/1384 1377/1552/1376 +f 1379/1553/1379 1387/1562/1387 1386/1560/1386 1378/1551/1378 +f 1380/1554/1380 1388/1563/1388 1387/1562/1387 1379/1553/1379 +f 1381/1555/1381 1389/1564/1389 1388/1563/1388 1380/1554/1380 +f 1382/1556/1382 1390/1565/1390 1389/1564/1389 1381/1555/1381 +f 1383/1557/1383 1391/1566/1391 1390/1565/1390 1382/1556/1382 +f 1384/1550/1377 1392/1559/1385 1391/1566/1391 1383/1557/1383 +f 1385/1558/1384 1393/1567/1392 1400/1568/1393 1392/1559/1385 +f 1386/1560/1386 1394/1569/1394 1393/1570/1392 1385/1561/1384 +f 1387/1562/1387 1395/1571/1395 1394/1569/1394 1386/1560/1386 +f 1388/1563/1388 1396/1572/1396 1395/1571/1395 1387/1562/1387 +f 1389/1564/1389 1397/1573/1397 1396/1572/1396 1388/1563/1388 +f 1390/1565/1390 1398/1574/1398 1397/1573/1397 1389/1564/1389 +f 1391/1566/1391 1399/1575/1399 1398/1574/1398 1390/1565/1390 +f 1392/1559/1385 1400/1568/1393 1399/1575/1399 1391/1566/1391 +f 1393/1567/1392 1401/1576/1400 1408/1577/1401 1400/1568/1393 +f 1394/1569/1394 1402/1578/1402 1401/1579/1400 1393/1570/1392 +f 1395/1571/1395 1403/1580/1403 1402/1578/1402 1394/1569/1394 +f 1396/1572/1396 1404/1581/1404 1403/1580/1403 1395/1571/1395 +f 1397/1573/1397 1405/1582/1405 1404/1581/1404 1396/1572/1396 +f 1398/1574/1398 1406/1583/1406 1405/1582/1405 1397/1573/1397 +f 1399/1575/1399 1407/1584/1407 1406/1583/1406 1398/1574/1398 +f 1400/1568/1393 1408/1577/1401 1407/1584/1407 1399/1575/1399 +f 1401/1576/1400 1409/1585/1408 1416/1586/1409 1408/1577/1401 +f 1402/1578/1402 1410/1587/1410 1409/1588/1408 1401/1579/1400 +f 1403/1580/1403 1411/1589/1411 1410/1587/1410 1402/1578/1402 +f 1404/1581/1404 1412/1590/1412 1411/1589/1411 1403/1580/1403 +f 1405/1582/1405 1413/1591/1413 1412/1590/1412 1404/1581/1404 +f 1406/1583/1406 1414/1592/1414 1413/1591/1413 1405/1582/1405 +f 1407/1584/1407 1415/1593/1415 1414/1592/1414 1406/1583/1406 +f 1408/1577/1401 1416/1586/1409 1415/1593/1415 1407/1584/1407 +f 1409/1585/1408 1417/1594/1416 1424/1595/1417 1416/1586/1409 +f 1410/1587/1410 1418/1596/1418 1417/1597/1416 1409/1588/1408 +f 1411/1589/1411 1419/1598/1419 1418/1596/1418 1410/1587/1410 +f 1412/1590/1412 1420/1599/1420 1419/1598/1419 1411/1589/1411 +f 1413/1591/1413 1421/1600/1421 1420/1599/1420 1412/1590/1412 +f 1414/1592/1414 1422/1601/1422 1421/1600/1421 1413/1591/1413 +f 1415/1593/1415 1423/1602/1423 1422/1601/1422 1414/1592/1414 +f 1416/1586/1409 1424/1595/1417 1423/1602/1423 1415/1593/1415 +f 1417/1594/1416 1425/1603/1424 1432/1604/1425 1424/1595/1417 +f 1418/1596/1418 1426/1605/1426 1425/1606/1424 1417/1597/1416 +f 1419/1598/1419 1427/1607/1427 1426/1605/1426 1418/1596/1418 +f 1420/1599/1420 1428/1608/1428 1427/1607/1427 1419/1598/1419 +f 1421/1600/1421 1429/1609/1429 1428/1608/1428 1420/1599/1420 +f 1422/1601/1422 1430/1610/1430 1429/1609/1429 1421/1600/1421 +f 1423/1602/1423 1431/1611/1431 1430/1610/1430 1422/1601/1422 +f 1424/1595/1417 1432/1604/1425 1431/1611/1431 1423/1602/1423 +f 1425/1603/1424 1433/1612/1432 1440/1613/1433 1432/1604/1425 +f 1426/1605/1426 1434/1614/1434 1433/1615/1432 1425/1606/1424 +f 1427/1607/1427 1435/1616/1435 1434/1614/1434 1426/1605/1426 +f 1428/1608/1428 1436/1617/1436 1435/1616/1435 1427/1607/1427 +f 1429/1609/1429 1437/1618/1437 1436/1617/1436 1428/1608/1428 +f 1430/1610/1430 1438/1619/1438 1437/1618/1437 1429/1609/1429 +f 1431/1611/1431 1439/1620/1439 1438/1619/1438 1430/1610/1430 +f 1432/1604/1425 1440/1613/1433 1439/1620/1439 1431/1611/1431 +f 1433/1612/1432 1441/1621/1440 1448/1622/1441 1440/1613/1433 +f 1434/1614/1434 1442/1623/1442 1441/1624/1440 1433/1615/1432 +f 1435/1616/1435 1443/1625/1443 1442/1623/1442 1434/1614/1434 +f 1436/1617/1436 1444/1626/1444 1443/1625/1443 1435/1616/1435 +f 1437/1618/1437 1445/1627/1445 1444/1626/1444 1436/1617/1436 +f 1438/1619/1438 1446/1628/1446 1445/1627/1445 1437/1618/1437 +f 1439/1620/1439 1447/1629/1447 1446/1628/1446 1438/1619/1438 +f 1440/1613/1433 1448/1622/1441 1447/1629/1447 1439/1620/1439 +f 1441/1621/1440 1449/1630/1448 1456/1631/1449 1448/1622/1441 +f 1442/1623/1442 1450/1632/1450 1449/1633/1448 1441/1624/1440 +f 1443/1625/1443 1451/1634/1451 1450/1632/1450 1442/1623/1442 +f 1444/1626/1444 1452/1635/1452 1451/1634/1451 1443/1625/1443 +f 1445/1627/1445 1453/1636/1453 1452/1635/1452 1444/1626/1444 +f 1446/1628/1446 1454/1637/1454 1453/1636/1453 1445/1627/1445 +f 1447/1629/1447 1455/1638/1455 1454/1637/1454 1446/1628/1446 +f 1448/1622/1441 1456/1631/1449 1455/1638/1455 1447/1629/1447 +f 1449/1630/1448 1457/1639/1456 1464/1640/1457 1456/1631/1449 +f 1450/1632/1450 1458/1641/1458 1457/1642/1456 1449/1633/1448 +f 1451/1634/1451 1459/1643/1459 1458/1641/1458 1450/1632/1450 +f 1452/1635/1452 1460/1644/1460 1459/1643/1459 1451/1634/1451 +f 1453/1636/1453 1461/1645/1461 1460/1644/1460 1452/1635/1452 +f 1454/1637/1454 1462/1646/1462 1461/1645/1461 1453/1636/1453 +f 1455/1638/1455 1463/1647/1463 1462/1646/1462 1454/1637/1454 +f 1456/1631/1449 1464/1640/1457 1463/1647/1463 1455/1638/1455 +f 1457/1639/1456 1465/1648/1464 1472/1649/1465 1464/1640/1457 +f 1458/1641/1458 1466/1650/1466 1465/1651/1464 1457/1642/1456 +f 1459/1643/1459 1467/1652/1467 1466/1650/1466 1458/1641/1458 +f 1460/1644/1460 1468/1653/1468 1467/1652/1467 1459/1643/1459 +f 1461/1645/1461 1469/1654/1469 1468/1653/1468 1460/1644/1460 +f 1462/1646/1462 1470/1655/1470 1469/1654/1469 1461/1645/1461 +f 1463/1647/1463 1471/1656/1471 1470/1655/1470 1462/1646/1462 +f 1464/1640/1457 1472/1649/1465 1471/1656/1471 1463/1647/1463 +f 1465/1648/1464 1473/1657/1472 1480/1658/1473 1472/1649/1465 +f 1466/1650/1466 1474/1659/1474 1473/1660/1472 1465/1651/1464 +f 1467/1652/1467 1475/1661/1475 1474/1659/1474 1466/1650/1466 +f 1468/1653/1468 1476/1662/1476 1475/1661/1475 1467/1652/1467 +f 1469/1654/1469 1477/1663/1477 1476/1662/1476 1468/1653/1468 +f 1470/1655/1470 1478/1664/1478 1477/1663/1477 1469/1654/1469 +f 1471/1656/1471 1479/1665/1479 1478/1664/1478 1470/1655/1470 +f 1472/1649/1465 1480/1658/1473 1479/1665/1479 1471/1656/1471 +f 1481/1666/1480 1489/1667/1481 1496/1668/1482 1488/1669/1483 +f 1482/1670/1484 1490/1671/1485 1489/1672/1481 1481/1673/1480 +f 1483/1674/1486 1491/1675/1487 1490/1671/1485 1482/1670/1484 +f 1484/1676/1488 1492/1677/1489 1491/1675/1487 1483/1674/1486 +f 1485/1678/1490 1493/1679/1491 1492/1677/1489 1484/1676/1488 +f 1486/1680/1492 1494/1681/1493 1493/1679/1491 1485/1678/1490 +f 1487/1682/1494 1495/1683/1495 1494/1681/1493 1486/1680/1492 +f 1488/1669/1483 1496/1668/1482 1495/1683/1495 1487/1682/1494 +f 1489/1667/1481 1497/1684/1496 1504/1685/1497 1496/1668/1482 +f 1490/1671/1485 1498/1686/1498 1497/1687/1496 1489/1672/1481 +f 1491/1675/1487 1499/1688/1499 1498/1686/1498 1490/1671/1485 +f 1492/1677/1489 1500/1689/1500 1499/1688/1499 1491/1675/1487 +f 1493/1679/1491 1501/1690/1501 1500/1689/1500 1492/1677/1489 +f 1494/1681/1493 1502/1691/1502 1501/1690/1501 1493/1679/1491 +f 1495/1683/1495 1503/1692/1503 1502/1691/1502 1494/1681/1493 +f 1496/1668/1482 1504/1685/1497 1503/1692/1503 1495/1683/1495 +f 1497/1684/1496 1505/1693/1504 1512/1694/1505 1504/1685/1497 +f 1498/1686/1498 1506/1695/1506 1505/1696/1504 1497/1687/1496 +f 1499/1688/1499 1507/1697/1507 1506/1695/1506 1498/1686/1498 +f 1500/1689/1500 1508/1698/1508 1507/1697/1507 1499/1688/1499 +f 1501/1690/1501 1509/1699/1509 1508/1698/1508 1500/1689/1500 +f 1502/1691/1502 1510/1700/1510 1509/1699/1509 1501/1690/1501 +f 1503/1692/1503 1511/1701/1511 1510/1700/1510 1502/1691/1502 +f 1504/1685/1497 1512/1694/1505 1511/1701/1511 1503/1692/1503 +f 1505/1693/1504 1513/1702/1512 1520/1703/1513 1512/1694/1505 +f 1506/1695/1506 1514/1704/1514 1513/1705/1512 1505/1696/1504 +f 1507/1697/1507 1515/1706/1515 1514/1704/1514 1506/1695/1506 +f 1508/1698/1508 1516/1707/1516 1515/1706/1515 1507/1697/1507 +f 1509/1699/1509 1517/1708/1517 1516/1707/1516 1508/1698/1508 +f 1510/1700/1510 1518/1709/1518 1517/1708/1517 1509/1699/1509 +f 1511/1701/1511 1519/1710/1519 1518/1709/1518 1510/1700/1510 +f 1512/1694/1505 1520/1703/1513 1519/1710/1519 1511/1701/1511 +f 1513/1702/1512 1521/1711/1520 1528/1712/1521 1520/1703/1513 +f 1514/1704/1514 1522/1713/1522 1521/1714/1520 1513/1705/1512 +f 1515/1706/1515 1523/1715/1523 1522/1713/1522 1514/1704/1514 +f 1516/1707/1516 1524/1716/1524 1523/1715/1523 1515/1706/1515 +f 1517/1708/1517 1525/1717/1525 1524/1716/1524 1516/1707/1516 +f 1518/1709/1518 1526/1718/1526 1525/1717/1525 1517/1708/1517 +f 1519/1710/1519 1527/1719/1527 1526/1718/1526 1518/1709/1518 +f 1520/1703/1513 1528/1712/1521 1527/1719/1527 1519/1710/1519 +f 1521/1711/1520 1529/1720/1528 1536/1721/1529 1528/1712/1521 +f 1522/1713/1522 1530/1722/1530 1529/1723/1528 1521/1714/1520 +f 1523/1715/1523 1531/1724/1531 1530/1722/1530 1522/1713/1522 +f 1524/1716/1524 1532/1725/1532 1531/1724/1531 1523/1715/1523 +f 1525/1717/1525 1533/1726/1533 1532/1725/1532 1524/1716/1524 +f 1526/1718/1526 1534/1727/1534 1533/1726/1533 1525/1717/1525 +f 1527/1719/1527 1535/1728/1535 1534/1727/1534 1526/1718/1526 +f 1528/1712/1521 1536/1721/1529 1535/1728/1535 1527/1719/1527 +f 1529/1720/1528 1537/1729/1536 1544/1730/1537 1536/1721/1529 +f 1530/1722/1530 1538/1731/1538 1537/1732/1536 1529/1723/1528 +f 1531/1724/1531 1539/1733/1539 1538/1731/1538 1530/1722/1530 +f 1532/1725/1532 1540/1734/1540 1539/1733/1539 1531/1724/1531 +f 1533/1726/1533 1541/1735/1541 1540/1734/1540 1532/1725/1532 +f 1534/1727/1534 1542/1736/1542 1541/1735/1541 1533/1726/1533 +f 1535/1728/1535 1543/1737/1543 1542/1736/1542 1534/1727/1534 +f 1536/1721/1529 1544/1730/1537 1543/1737/1543 1535/1728/1535 +f 1537/1729/1536 1545/1738/1544 1552/1739/1545 1544/1730/1537 +f 1538/1731/1538 1546/1740/1546 1545/1741/1544 1537/1732/1536 +f 1539/1733/1539 1547/1742/1547 1546/1740/1546 1538/1731/1538 +f 1540/1734/1540 1548/1743/1548 1547/1742/1547 1539/1733/1539 +f 1541/1735/1541 1549/1744/1549 1548/1743/1548 1540/1734/1540 +f 1542/1736/1542 1550/1745/1550 1549/1744/1549 1541/1735/1541 +f 1543/1737/1543 1551/1746/1551 1550/1745/1550 1542/1736/1542 +f 1544/1730/1537 1552/1739/1545 1551/1746/1551 1543/1737/1543 +f 1545/1738/1544 1553/1747/1552 1560/1748/1553 1552/1739/1545 +f 1546/1740/1546 1554/1749/1554 1553/1750/1552 1545/1741/1544 +f 1547/1742/1547 1555/1751/1555 1554/1749/1554 1546/1740/1546 +f 1548/1743/1548 1556/1752/1556 1555/1751/1555 1547/1742/1547 +f 1549/1744/1549 1557/1753/1557 1556/1752/1556 1548/1743/1548 +f 1550/1745/1550 1558/1754/1558 1557/1753/1557 1549/1744/1549 +f 1551/1746/1551 1559/1755/1559 1558/1754/1558 1550/1745/1550 +f 1552/1739/1545 1560/1748/1553 1559/1755/1559 1551/1746/1551 +f 1553/1747/1552 1561/1756/1560 1568/1757/1561 1560/1748/1553 +f 1554/1749/1554 1562/1758/1562 1561/1759/1560 1553/1750/1552 +f 1555/1751/1555 1563/1760/1563 1562/1758/1562 1554/1749/1554 +f 1556/1752/1556 1564/1761/1564 1563/1760/1563 1555/1751/1555 +f 1557/1753/1557 1565/1762/1565 1564/1761/1564 1556/1752/1556 +f 1558/1754/1558 1566/1763/1566 1565/1762/1565 1557/1753/1557 +f 1559/1755/1559 1567/1764/1567 1566/1763/1566 1558/1754/1558 +f 1560/1748/1553 1568/1757/1561 1567/1764/1567 1559/1755/1559 +f 1561/1756/1560 1569/1765/1568 1576/1766/1569 1568/1757/1561 +f 1562/1758/1562 1570/1767/1570 1569/1768/1568 1561/1759/1560 +f 1563/1760/1563 1571/1769/1571 1570/1767/1570 1562/1758/1562 +f 1564/1761/1564 1572/1770/1572 1571/1769/1571 1563/1760/1563 +f 1565/1762/1565 1573/1771/1573 1572/1770/1572 1564/1761/1564 +f 1566/1763/1566 1574/1772/1574 1573/1771/1573 1565/1762/1565 +f 1567/1764/1567 1575/1773/1575 1574/1772/1574 1566/1763/1566 +f 1568/1757/1561 1576/1766/1569 1575/1773/1575 1567/1764/1567 +f 1569/1765/1568 1577/1774/1576 1584/1775/1577 1576/1766/1569 +f 1570/1767/1570 1578/1776/1578 1577/1777/1576 1569/1768/1568 +f 1571/1769/1571 1579/1778/1579 1578/1776/1578 1570/1767/1570 +f 1572/1770/1572 1580/1779/1580 1579/1778/1579 1571/1769/1571 +f 1573/1771/1573 1581/1780/1581 1580/1779/1580 1572/1770/1572 +f 1574/1772/1574 1582/1781/1582 1581/1780/1581 1573/1771/1573 +f 1575/1773/1575 1583/1782/1583 1582/1781/1582 1574/1772/1574 +f 1576/1766/1569 1584/1775/1577 1583/1782/1583 1575/1773/1575 +f 1577/1774/1576 1585/1783/1584 1592/1784/1585 1584/1775/1577 +f 1578/1776/1578 1586/1785/1586 1585/1786/1584 1577/1777/1576 +f 1579/1778/1579 1587/1787/1587 1586/1785/1586 1578/1776/1578 +f 1580/1779/1580 1588/1788/1588 1587/1787/1587 1579/1778/1579 +f 1581/1780/1581 1589/1789/1589 1588/1788/1588 1580/1779/1580 +f 1582/1781/1582 1590/1790/1590 1589/1789/1589 1581/1780/1581 +f 1583/1782/1583 1591/1791/1591 1590/1790/1590 1582/1781/1582 +f 1584/1775/1577 1592/1784/1585 1591/1791/1591 1583/1782/1583 +f 1585/1783/1584 1593/1792/1592 1600/1793/1593 1592/1784/1585 +f 1586/1785/1586 1594/1794/1594 1593/1795/1592 1585/1786/1584 +f 1587/1787/1587 1595/1796/1595 1594/1794/1594 1586/1785/1586 +f 1588/1788/1588 1596/1797/1596 1595/1796/1595 1587/1787/1587 +f 1589/1789/1589 1597/1798/1597 1596/1797/1596 1588/1788/1588 +f 1590/1790/1590 1598/1799/1598 1597/1798/1597 1589/1789/1589 +f 1591/1791/1591 1599/1800/1599 1598/1799/1598 1590/1790/1590 +f 1592/1784/1585 1600/1793/1593 1599/1800/1599 1591/1791/1591 +f 1593/1792/1592 1601/1801/1600 1608/1802/1601 1600/1793/1593 +f 1594/1794/1594 1602/1803/1602 1601/1804/1600 1593/1795/1592 +f 1595/1796/1595 1603/1805/1603 1602/1803/1602 1594/1794/1594 +f 1596/1797/1596 1604/1806/1604 1603/1805/1603 1595/1796/1595 +f 1597/1798/1597 1605/1807/1605 1604/1806/1604 1596/1797/1596 +f 1598/1799/1598 1606/1808/1606 1605/1807/1605 1597/1798/1597 +f 1599/1800/1599 1607/1809/1607 1606/1808/1606 1598/1799/1598 +f 1600/1793/1593 1608/1802/1601 1607/1809/1607 1599/1800/1599 +f 1609/1810/1608 1617/1811/1609 1624/1812/1610 1616/1813/1611 +f 1610/1814/1612 1618/1815/1613 1617/1816/1609 1609/1817/1608 +f 1611/1818/1614 1619/1819/1615 1618/1815/1613 1610/1814/1612 +f 1612/1820/1616 1620/1821/1617 1619/1819/1615 1611/1818/1614 +f 1613/1822/1618 1621/1823/1619 1620/1821/1617 1612/1820/1616 +f 1614/1824/1620 1622/1825/1621 1621/1823/1619 1613/1822/1618 +f 1615/1826/1622 1623/1827/1623 1622/1825/1621 1614/1824/1620 +f 1616/1813/1611 1624/1812/1610 1623/1827/1623 1615/1826/1622 +f 1617/1811/1609 1625/1828/1624 1632/1829/1625 1624/1812/1610 +f 1618/1815/1613 1626/1830/1626 1625/1831/1624 1617/1816/1609 +f 1619/1819/1615 1627/1832/1627 1626/1830/1626 1618/1815/1613 +f 1620/1821/1617 1628/1833/1628 1627/1832/1627 1619/1819/1615 +f 1621/1823/1619 1629/1834/1629 1628/1833/1628 1620/1821/1617 +f 1622/1825/1621 1630/1835/1630 1629/1834/1629 1621/1823/1619 +f 1623/1827/1623 1631/1836/1631 1630/1835/1630 1622/1825/1621 +f 1624/1812/1610 1632/1829/1625 1631/1836/1631 1623/1827/1623 +f 1625/1828/1624 1633/1837/1632 1640/1838/1633 1632/1829/1625 +f 1626/1830/1626 1634/1839/1634 1633/1840/1632 1625/1831/1624 +f 1627/1832/1627 1635/1841/1635 1634/1839/1634 1626/1830/1626 +f 1628/1833/1628 1636/1842/1636 1635/1841/1635 1627/1832/1627 +f 1629/1834/1629 1637/1843/1637 1636/1842/1636 1628/1833/1628 +f 1630/1835/1630 1638/1844/1638 1637/1843/1637 1629/1834/1629 +f 1631/1836/1631 1639/1845/1639 1638/1844/1638 1630/1835/1630 +f 1632/1829/1625 1640/1838/1633 1639/1845/1639 1631/1836/1631 +f 1633/1837/1632 1641/1846/1640 1648/1847/1641 1640/1838/1633 +f 1634/1839/1634 1642/1848/1642 1641/1849/1640 1633/1840/1632 +f 1635/1841/1635 1643/1850/1643 1642/1848/1642 1634/1839/1634 +f 1636/1842/1636 1644/1851/1644 1643/1850/1643 1635/1841/1635 +f 1637/1843/1637 1645/1852/1645 1644/1851/1644 1636/1842/1636 +f 1638/1844/1638 1646/1853/1646 1645/1852/1645 1637/1843/1637 +f 1639/1845/1639 1647/1854/1647 1646/1853/1646 1638/1844/1638 +f 1640/1838/1633 1648/1847/1641 1647/1854/1647 1639/1845/1639 +f 1641/1846/1640 1649/1855/1648 1656/1856/1649 1648/1847/1641 +f 1642/1848/1642 1650/1857/1650 1649/1858/1648 1641/1849/1640 +f 1643/1850/1643 1651/1859/1651 1650/1857/1650 1642/1848/1642 +f 1644/1851/1644 1652/1860/1652 1651/1859/1651 1643/1850/1643 +f 1645/1852/1645 1653/1861/1653 1652/1860/1652 1644/1851/1644 +f 1646/1853/1646 1654/1862/1654 1653/1861/1653 1645/1852/1645 +f 1647/1854/1647 1655/1863/1655 1654/1862/1654 1646/1853/1646 +f 1648/1847/1641 1656/1856/1649 1655/1863/1655 1647/1854/1647 +f 1649/1855/1648 1657/1864/1656 1664/1865/1657 1656/1856/1649 +f 1650/1857/1650 1658/1866/1658 1657/1867/1656 1649/1858/1648 +f 1651/1859/1651 1659/1868/1659 1658/1866/1658 1650/1857/1650 +f 1652/1860/1652 1660/1869/1660 1659/1868/1659 1651/1859/1651 +f 1653/1861/1653 1661/1870/1661 1660/1869/1660 1652/1860/1652 +f 1654/1862/1654 1662/1871/1662 1661/1870/1661 1653/1861/1653 +f 1655/1863/1655 1663/1872/1663 1662/1871/1662 1654/1862/1654 +f 1656/1856/1649 1664/1865/1657 1663/1872/1663 1655/1863/1655 +f 1657/1864/1656 1665/1873/1664 1672/1874/1665 1664/1865/1657 +f 1658/1866/1658 1666/1875/1666 1665/1876/1664 1657/1867/1656 +f 1659/1868/1659 1667/1877/1667 1666/1875/1666 1658/1866/1658 +f 1660/1869/1660 1668/1878/1668 1667/1877/1667 1659/1868/1659 +f 1661/1870/1661 1669/1879/1669 1668/1878/1668 1660/1869/1660 +f 1662/1871/1662 1670/1880/1670 1669/1879/1669 1661/1870/1661 +f 1663/1872/1663 1671/1881/1671 1670/1880/1670 1662/1871/1662 +f 1664/1865/1657 1672/1874/1665 1671/1881/1671 1663/1872/1663 +f 1665/1873/1664 1673/1882/1672 1680/1883/1673 1672/1874/1665 +f 1666/1875/1666 1674/1884/1674 1673/1885/1672 1665/1876/1664 +f 1667/1877/1667 1675/1886/1675 1674/1884/1674 1666/1875/1666 +f 1668/1878/1668 1676/1887/1676 1675/1886/1675 1667/1877/1667 +f 1669/1879/1669 1677/1888/1677 1676/1887/1676 1668/1878/1668 +f 1670/1880/1670 1678/1889/1678 1677/1888/1677 1669/1879/1669 +f 1671/1881/1671 1679/1890/1679 1678/1889/1678 1670/1880/1670 +f 1672/1874/1665 1680/1883/1673 1679/1890/1679 1671/1881/1671 +f 1673/1882/1672 1681/1891/1680 1688/1892/1681 1680/1883/1673 +f 1674/1884/1674 1682/1893/1682 1681/1894/1680 1673/1885/1672 +f 1675/1886/1675 1683/1895/1683 1682/1893/1682 1674/1884/1674 +f 1676/1887/1676 1684/1896/1684 1683/1895/1683 1675/1886/1675 +f 1677/1888/1677 1685/1897/1685 1684/1896/1684 1676/1887/1676 +f 1678/1889/1678 1686/1898/1686 1685/1897/1685 1677/1888/1677 +f 1679/1890/1679 1687/1899/1687 1686/1898/1686 1678/1889/1678 +f 1680/1883/1673 1688/1892/1681 1687/1899/1687 1679/1890/1679 +f 1681/1891/1680 1689/1900/1688 1696/1901/1689 1688/1892/1681 +f 1682/1893/1682 1690/1902/1690 1689/1903/1688 1681/1894/1680 +f 1683/1895/1683 1691/1904/1691 1690/1902/1690 1682/1893/1682 +f 1684/1896/1684 1692/1905/1692 1691/1904/1691 1683/1895/1683 +f 1685/1897/1685 1693/1906/1693 1692/1905/1692 1684/1896/1684 +f 1686/1898/1686 1694/1907/1694 1693/1906/1693 1685/1897/1685 +f 1687/1899/1687 1695/1908/1695 1694/1907/1694 1686/1898/1686 +f 1688/1892/1681 1696/1901/1689 1695/1908/1695 1687/1899/1687 +f 1689/1900/1688 1697/1909/1696 1704/1910/1697 1696/1901/1689 +f 1690/1902/1690 1698/1911/1698 1697/1912/1696 1689/1903/1688 +f 1691/1904/1691 1699/1913/1699 1698/1911/1698 1690/1902/1690 +f 1692/1905/1692 1700/1914/1700 1699/1913/1699 1691/1904/1691 +f 1693/1906/1693 1701/1915/1701 1700/1914/1700 1692/1905/1692 +f 1694/1907/1694 1702/1916/1702 1701/1915/1701 1693/1906/1693 +f 1695/1908/1695 1703/1917/1703 1702/1916/1702 1694/1907/1694 +f 1696/1901/1689 1704/1910/1697 1703/1917/1703 1695/1908/1695 +f 1697/1909/1696 1705/1918/1704 1712/1919/1705 1704/1910/1697 +f 1698/1911/1698 1706/1920/1706 1705/1921/1704 1697/1912/1696 +f 1699/1913/1699 1707/1922/1707 1706/1920/1706 1698/1911/1698 +f 1700/1914/1700 1708/1923/1708 1707/1922/1707 1699/1913/1699 +f 1701/1915/1701 1709/1924/1709 1708/1923/1708 1700/1914/1700 +f 1702/1916/1702 1710/1925/1710 1709/1924/1709 1701/1915/1701 +f 1703/1917/1703 1711/1926/1711 1710/1925/1710 1702/1916/1702 +f 1704/1910/1697 1712/1919/1705 1711/1926/1711 1703/1917/1703 +f 1705/1918/1704 1713/1927/1712 1720/1928/1713 1712/1919/1705 +f 1706/1920/1706 1714/1929/1714 1713/1930/1712 1705/1921/1704 +f 1707/1922/1707 1715/1931/1715 1714/1929/1714 1706/1920/1706 +f 1708/1923/1708 1716/1932/1716 1715/1931/1715 1707/1922/1707 +f 1709/1924/1709 1717/1933/1717 1716/1932/1716 1708/1923/1708 +f 1710/1925/1710 1718/1934/1718 1717/1933/1717 1709/1924/1709 +f 1711/1926/1711 1719/1935/1719 1718/1934/1718 1710/1925/1710 +f 1712/1919/1705 1720/1928/1713 1719/1935/1719 1711/1926/1711 +f 1713/1927/1712 1721/1936/1720 1728/1937/1721 1720/1928/1713 +f 1714/1929/1714 1722/1938/1722 1721/1939/1720 1713/1930/1712 +f 1715/1931/1715 1723/1940/1723 1722/1938/1722 1714/1929/1714 +f 1716/1932/1716 1724/1941/1724 1723/1940/1723 1715/1931/1715 +f 1717/1933/1717 1725/1942/1725 1724/1941/1724 1716/1932/1716 +f 1718/1934/1718 1726/1943/1726 1725/1942/1725 1717/1933/1717 +f 1719/1935/1719 1727/1944/1727 1726/1943/1726 1718/1934/1718 +f 1720/1928/1713 1728/1937/1721 1727/1944/1727 1719/1935/1719 +f 1721/1936/1720 1729/1945/1728 1736/1946/1729 1728/1937/1721 +f 1722/1938/1722 1730/1947/1730 1729/1948/1728 1721/1939/1720 +f 1723/1940/1723 1731/1949/1731 1730/1947/1730 1722/1938/1722 +f 1724/1941/1724 1732/1950/1732 1731/1949/1731 1723/1940/1723 +f 1725/1942/1725 1733/1951/1733 1732/1950/1732 1724/1941/1724 +f 1726/1943/1726 1734/1952/1734 1733/1951/1733 1725/1942/1725 +f 1727/1944/1727 1735/1953/1735 1734/1952/1734 1726/1943/1726 +f 1728/1937/1721 1736/1946/1729 1735/1953/1735 1727/1944/1727 +f 1737/1954/1736 1745/1955/1737 1752/1956/1738 1744/1957/1739 +f 1738/1958/1740 1746/1959/1741 1745/1960/1737 1737/1961/1736 +f 1739/1962/1742 1747/1963/1743 1746/1959/1741 1738/1958/1740 +f 1740/1964/1744 1748/1965/1745 1747/1963/1743 1739/1962/1742 +f 1741/1966/1746 1749/1967/1747 1748/1965/1745 1740/1964/1744 +f 1742/1968/1748 1750/1969/1749 1749/1967/1747 1741/1966/1746 +f 1743/1970/1750 1751/1971/1751 1750/1969/1749 1742/1968/1748 +f 1744/1957/1739 1752/1956/1738 1751/1971/1751 1743/1970/1750 +f 1745/1955/1737 1753/1972/1752 1760/1973/1753 1752/1956/1738 +f 1746/1959/1741 1754/1974/1754 1753/1975/1752 1745/1960/1737 +f 1747/1963/1743 1755/1976/1755 1754/1974/1754 1746/1959/1741 +f 1748/1965/1745 1756/1977/1756 1755/1976/1755 1747/1963/1743 +f 1749/1967/1747 1757/1978/1757 1756/1977/1756 1748/1965/1745 +f 1750/1969/1749 1758/1979/1758 1757/1978/1757 1749/1967/1747 +f 1751/1971/1751 1759/1980/1759 1758/1979/1758 1750/1969/1749 +f 1752/1956/1738 1760/1973/1753 1759/1980/1759 1751/1971/1751 +f 1753/1972/1752 1761/1981/1760 1768/1982/1761 1760/1973/1753 +f 1754/1974/1754 1762/1983/1762 1761/1984/1760 1753/1975/1752 +f 1755/1976/1755 1763/1985/1763 1762/1983/1762 1754/1974/1754 +f 1756/1977/1756 1764/1986/1764 1763/1985/1763 1755/1976/1755 +f 1757/1978/1757 1765/1987/1765 1764/1986/1764 1756/1977/1756 +f 1758/1979/1758 1766/1988/1766 1765/1987/1765 1757/1978/1757 +f 1759/1980/1759 1767/1989/1767 1766/1988/1766 1758/1979/1758 +f 1760/1973/1753 1768/1982/1761 1767/1989/1767 1759/1980/1759 +f 1761/1981/1760 1769/1990/1768 1776/1991/1769 1768/1982/1761 +f 1762/1983/1762 1770/1992/1770 1769/1993/1768 1761/1984/1760 +f 1763/1985/1763 1771/1994/1771 1770/1992/1770 1762/1983/1762 +f 1764/1986/1764 1772/1995/1772 1771/1994/1771 1763/1985/1763 +f 1765/1987/1765 1773/1996/1773 1772/1995/1772 1764/1986/1764 +f 1766/1988/1766 1774/1997/1774 1773/1996/1773 1765/1987/1765 +f 1767/1989/1767 1775/1998/1775 1774/1997/1774 1766/1988/1766 +f 1768/1982/1761 1776/1991/1769 1775/1998/1775 1767/1989/1767 +f 1769/1990/1768 1777/1999/1776 1784/2000/1777 1776/1991/1769 +f 1770/1992/1770 1778/2001/1778 1777/2002/1776 1769/1993/1768 +f 1771/1994/1771 1779/2003/1779 1778/2001/1778 1770/1992/1770 +f 1772/1995/1772 1780/2004/1780 1779/2003/1779 1771/1994/1771 +f 1773/1996/1773 1781/2005/1781 1780/2004/1780 1772/1995/1772 +f 1774/1997/1774 1782/2006/1782 1781/2005/1781 1773/1996/1773 +f 1775/1998/1775 1783/2007/1783 1782/2006/1782 1774/1997/1774 +f 1776/1991/1769 1784/2000/1777 1783/2007/1783 1775/1998/1775 +f 1777/1999/1776 1785/2008/1784 1792/2009/1785 1784/2000/1777 +f 1778/2001/1778 1786/2010/1786 1785/2011/1784 1777/2002/1776 +f 1779/2003/1779 1787/2012/1787 1786/2010/1786 1778/2001/1778 +f 1780/2004/1780 1788/2013/1788 1787/2012/1787 1779/2003/1779 +f 1781/2005/1781 1789/2014/1789 1788/2013/1788 1780/2004/1780 +f 1782/2006/1782 1790/2015/1790 1789/2014/1789 1781/2005/1781 +f 1783/2007/1783 1791/2016/1791 1790/2015/1790 1782/2006/1782 +f 1784/2000/1777 1792/2009/1785 1791/2016/1791 1783/2007/1783 +f 1785/2008/1784 1793/2017/1792 1800/2018/1793 1792/2009/1785 +f 1786/2010/1786 1794/2019/1794 1793/2020/1792 1785/2011/1784 +f 1787/2012/1787 1795/2021/1795 1794/2019/1794 1786/2010/1786 +f 1788/2013/1788 1796/2022/1796 1795/2021/1795 1787/2012/1787 +f 1789/2014/1789 1797/2023/1797 1796/2022/1796 1788/2013/1788 +f 1790/2015/1790 1798/2024/1798 1797/2023/1797 1789/2014/1789 +f 1791/2016/1791 1799/2025/1799 1798/2024/1798 1790/2015/1790 +f 1792/2009/1785 1800/2018/1793 1799/2025/1799 1791/2016/1791 +f 1793/2017/1792 1801/2026/1800 1808/2027/1801 1800/2018/1793 +f 1794/2019/1794 1802/2028/1802 1801/2029/1800 1793/2020/1792 +f 1795/2021/1795 1803/2030/1803 1802/2028/1802 1794/2019/1794 +f 1796/2022/1796 1804/2031/1804 1803/2030/1803 1795/2021/1795 +f 1797/2023/1797 1805/2032/1805 1804/2031/1804 1796/2022/1796 +f 1798/2024/1798 1806/2033/1806 1805/2032/1805 1797/2023/1797 +f 1799/2025/1799 1807/2034/1807 1806/2033/1806 1798/2024/1798 +f 1800/2018/1793 1808/2027/1801 1807/2034/1807 1799/2025/1799 +f 1801/2026/1800 1809/2035/1808 1816/2036/1809 1808/2027/1801 +f 1802/2028/1802 1810/2037/1810 1809/2038/1808 1801/2029/1800 +f 1803/2030/1803 1811/2039/1811 1810/2037/1810 1802/2028/1802 +f 1804/2031/1804 1812/2040/1812 1811/2039/1811 1803/2030/1803 +f 1805/2032/1805 1813/2041/1813 1812/2040/1812 1804/2031/1804 +f 1806/2033/1806 1814/2042/1814 1813/2041/1813 1805/2032/1805 +f 1807/2034/1807 1815/2043/1815 1814/2042/1814 1806/2033/1806 +f 1808/2027/1801 1816/2036/1809 1815/2043/1815 1807/2034/1807 +f 1809/2035/1808 1817/2044/1816 1824/2045/1817 1816/2036/1809 +f 1810/2037/1810 1818/2046/1818 1817/2047/1816 1809/2038/1808 +f 1811/2039/1811 1819/2048/1819 1818/2046/1818 1810/2037/1810 +f 1812/2040/1812 1820/2049/1820 1819/2048/1819 1811/2039/1811 +f 1813/2041/1813 1821/2050/1821 1820/2049/1820 1812/2040/1812 +f 1814/2042/1814 1822/2051/1822 1821/2050/1821 1813/2041/1813 +f 1815/2043/1815 1823/2052/1823 1822/2051/1822 1814/2042/1814 +f 1816/2036/1809 1824/2045/1817 1823/2052/1823 1815/2043/1815 +f 1817/2044/1816 1825/2053/1824 1832/2054/1825 1824/2045/1817 +f 1818/2046/1818 1826/2055/1826 1825/2056/1824 1817/2047/1816 +f 1819/2048/1819 1827/2057/1827 1826/2055/1826 1818/2046/1818 +f 1820/2049/1820 1828/2058/1828 1827/2057/1827 1819/2048/1819 +f 1821/2050/1821 1829/2059/1829 1828/2058/1828 1820/2049/1820 +f 1822/2051/1822 1830/2060/1830 1829/2059/1829 1821/2050/1821 +f 1823/2052/1823 1831/2061/1831 1830/2060/1830 1822/2051/1822 +f 1824/2045/1817 1832/2054/1825 1831/2061/1831 1823/2052/1823 +f 1825/2053/1824 1833/2062/1832 1840/2063/1833 1832/2054/1825 +f 1826/2055/1826 1834/2064/1834 1833/2065/1832 1825/2056/1824 +f 1827/2057/1827 1835/2066/1835 1834/2064/1834 1826/2055/1826 +f 1828/2058/1828 1836/2067/1836 1835/2066/1835 1827/2057/1827 +f 1829/2059/1829 1837/2068/1837 1836/2067/1836 1828/2058/1828 +f 1830/2060/1830 1838/2069/1838 1837/2068/1837 1829/2059/1829 +f 1831/2061/1831 1839/2070/1839 1838/2069/1838 1830/2060/1830 +f 1832/2054/1825 1840/2063/1833 1839/2070/1839 1831/2061/1831 +f 1833/2062/1832 1841/2071/1840 1848/2072/1841 1840/2063/1833 +f 1834/2064/1834 1842/2073/1842 1841/2074/1840 1833/2065/1832 +f 1835/2066/1835 1843/2075/1843 1842/2073/1842 1834/2064/1834 +f 1836/2067/1836 1844/2076/1844 1843/2075/1843 1835/2066/1835 +f 1837/2068/1837 1845/2077/1845 1844/2076/1844 1836/2067/1836 +f 1838/2069/1838 1846/2078/1846 1845/2077/1845 1837/2068/1837 +f 1839/2070/1839 1847/2079/1847 1846/2078/1846 1838/2069/1838 +f 1840/2063/1833 1848/2072/1841 1847/2079/1847 1839/2070/1839 +f 1841/2071/1840 1849/2080/1848 1856/2081/1849 1848/2072/1841 +f 1842/2073/1842 1850/2082/1850 1849/2083/1848 1841/2074/1840 +f 1843/2075/1843 1851/2084/1851 1850/2082/1850 1842/2073/1842 +f 1844/2076/1844 1852/2085/1852 1851/2084/1851 1843/2075/1843 +f 1845/2077/1845 1853/2086/1853 1852/2085/1852 1844/2076/1844 +f 1846/2078/1846 1854/2087/1854 1853/2086/1853 1845/2077/1845 +f 1847/2079/1847 1855/2088/1855 1854/2087/1854 1846/2078/1846 +f 1848/2072/1841 1856/2081/1849 1855/2088/1855 1847/2079/1847 +f 1849/2080/1848 1857/2089/1856 1864/2090/1857 1856/2081/1849 +f 1850/2082/1850 1858/2091/1858 1857/2092/1856 1849/2083/1848 +f 1851/2084/1851 1859/2093/1859 1858/2091/1858 1850/2082/1850 +f 1852/2085/1852 1860/2094/1860 1859/2093/1859 1851/2084/1851 +f 1853/2086/1853 1861/2095/1861 1860/2094/1860 1852/2085/1852 +f 1854/2087/1854 1862/2096/1862 1861/2095/1861 1853/2086/1853 +f 1855/2088/1855 1863/2097/1863 1862/2096/1862 1854/2087/1854 +f 1856/2081/1849 1864/2090/1857 1863/2097/1863 1855/2088/1855 +f 1865/2098/1864 1873/2099/1865 1880/2100/1866 1872/2101/1867 +f 1866/2102/1868 1874/2103/1869 1873/2104/1865 1865/2105/1864 +f 1867/2106/1870 1875/2107/1871 1874/2103/1869 1866/2102/1868 +f 1868/2108/1872 1876/2109/1873 1875/2107/1871 1867/2106/1870 +f 1869/2110/1874 1877/2111/1875 1876/2109/1873 1868/2108/1872 +f 1870/2112/1876 1878/2113/1877 1877/2111/1875 1869/2110/1874 +f 1871/2114/1878 1879/2115/1879 1878/2113/1877 1870/2112/1876 +f 1872/2101/1867 1880/2100/1866 1879/2115/1879 1871/2114/1878 +f 1873/2099/1865 1881/2116/1880 1888/2117/1881 1880/2100/1866 +f 1874/2103/1869 1882/2118/1882 1881/2119/1880 1873/2104/1865 +f 1875/2107/1871 1883/2120/1883 1882/2118/1882 1874/2103/1869 +f 1876/2109/1873 1884/2121/1884 1883/2120/1883 1875/2107/1871 +f 1877/2111/1875 1885/2122/1885 1884/2121/1884 1876/2109/1873 +f 1878/2113/1877 1886/2123/1886 1885/2122/1885 1877/2111/1875 +f 1879/2115/1879 1887/2124/1887 1886/2123/1886 1878/2113/1877 +f 1880/2100/1866 1888/2117/1881 1887/2124/1887 1879/2115/1879 +f 1881/2116/1880 1889/2125/1888 1896/2126/1889 1888/2117/1881 +f 1882/2118/1882 1890/2127/1890 1889/2128/1888 1881/2119/1880 +f 1883/2120/1883 1891/2129/1891 1890/2127/1890 1882/2118/1882 +f 1884/2121/1884 1892/2130/1892 1891/2129/1891 1883/2120/1883 +f 1885/2122/1885 1893/2131/1893 1892/2130/1892 1884/2121/1884 +f 1886/2123/1886 1894/2132/1894 1893/2131/1893 1885/2122/1885 +f 1887/2124/1887 1895/2133/1895 1894/2132/1894 1886/2123/1886 +f 1888/2117/1881 1896/2126/1889 1895/2133/1895 1887/2124/1887 +f 1889/2125/1888 1897/2134/1896 1904/2135/1897 1896/2126/1889 +f 1890/2127/1890 1898/2136/1898 1897/2137/1896 1889/2128/1888 +f 1891/2129/1891 1899/2138/1899 1898/2136/1898 1890/2127/1890 +f 1892/2130/1892 1900/2139/1900 1899/2138/1899 1891/2129/1891 +f 1893/2131/1893 1901/2140/1901 1900/2139/1900 1892/2130/1892 +f 1894/2132/1894 1902/2141/1902 1901/2140/1901 1893/2131/1893 +f 1895/2133/1895 1903/2142/1903 1902/2141/1902 1894/2132/1894 +f 1896/2126/1889 1904/2135/1897 1903/2142/1903 1895/2133/1895 +f 1897/2134/1896 1905/2143/1904 1912/2144/1905 1904/2135/1897 +f 1898/2136/1898 1906/2145/1906 1905/2146/1904 1897/2137/1896 +f 1899/2138/1899 1907/2147/1907 1906/2145/1906 1898/2136/1898 +f 1900/2139/1900 1908/2148/1908 1907/2147/1907 1899/2138/1899 +f 1901/2140/1901 1909/2149/1909 1908/2148/1908 1900/2139/1900 +f 1902/2141/1902 1910/2150/1910 1909/2149/1909 1901/2140/1901 +f 1903/2142/1903 1911/2151/1911 1910/2150/1910 1902/2141/1902 +f 1904/2135/1897 1912/2144/1905 1911/2151/1911 1903/2142/1903 +f 1905/2143/1904 1913/2152/1912 1920/2153/1913 1912/2144/1905 +f 1906/2145/1906 1914/2154/1914 1913/2155/1912 1905/2146/1904 +f 1907/2147/1907 1915/2156/1915 1914/2154/1914 1906/2145/1906 +f 1908/2148/1908 1916/2157/1916 1915/2156/1915 1907/2147/1907 +f 1909/2149/1909 1917/2158/1917 1916/2157/1916 1908/2148/1908 +f 1910/2150/1910 1918/2159/1918 1917/2158/1917 1909/2149/1909 +f 1911/2151/1911 1919/2160/1919 1918/2159/1918 1910/2150/1910 +f 1912/2144/1905 1920/2153/1913 1919/2160/1919 1911/2151/1911 +f 1913/2152/1912 1921/2161/1920 1928/2162/1921 1920/2153/1913 +f 1914/2154/1914 1922/2163/1922 1921/2164/1920 1913/2155/1912 +f 1915/2156/1915 1923/2165/1923 1922/2163/1922 1914/2154/1914 +f 1916/2157/1916 1924/2166/1924 1923/2165/1923 1915/2156/1915 +f 1917/2158/1917 1925/2167/1925 1924/2166/1924 1916/2157/1916 +f 1918/2159/1918 1926/2168/1926 1925/2167/1925 1917/2158/1917 +f 1919/2160/1919 1927/2169/1927 1926/2168/1926 1918/2159/1918 +f 1920/2153/1913 1928/2162/1921 1927/2169/1927 1919/2160/1919 +f 1921/2161/1920 1929/2170/1928 1936/2171/1929 1928/2162/1921 +f 1922/2163/1922 1930/2172/1930 1929/2173/1928 1921/2164/1920 +f 1923/2165/1923 1931/2174/1931 1930/2172/1930 1922/2163/1922 +f 1924/2166/1924 1932/2175/1932 1931/2174/1931 1923/2165/1923 +f 1925/2167/1925 1933/2176/1933 1932/2175/1932 1924/2166/1924 +f 1926/2168/1926 1934/2177/1934 1933/2176/1933 1925/2167/1925 +f 1927/2169/1927 1935/2178/1935 1934/2177/1934 1926/2168/1926 +f 1928/2162/1921 1936/2171/1929 1935/2178/1935 1927/2169/1927 +f 1929/2170/1928 1937/2179/1936 1944/2180/1937 1936/2171/1929 +f 1930/2172/1930 1938/2181/1938 1937/2182/1936 1929/2173/1928 +f 1931/2174/1931 1939/2183/1939 1938/2181/1938 1930/2172/1930 +f 1932/2175/1932 1940/2184/1940 1939/2183/1939 1931/2174/1931 +f 1933/2176/1933 1941/2185/1941 1940/2184/1940 1932/2175/1932 +f 1934/2177/1934 1942/2186/1942 1941/2185/1941 1933/2176/1933 +f 1935/2178/1935 1943/2187/1943 1942/2186/1942 1934/2177/1934 +f 1936/2171/1929 1944/2180/1937 1943/2187/1943 1935/2178/1935 +f 1937/2179/1936 1945/2188/1944 1952/2189/1945 1944/2180/1937 +f 1938/2181/1938 1946/2190/1946 1945/2191/1944 1937/2182/1936 +f 1939/2183/1939 1947/2192/1947 1946/2190/1946 1938/2181/1938 +f 1940/2184/1940 1948/2193/1948 1947/2192/1947 1939/2183/1939 +f 1941/2185/1941 1949/2194/1949 1948/2193/1948 1940/2184/1940 +f 1942/2186/1942 1950/2195/1950 1949/2194/1949 1941/2185/1941 +f 1943/2187/1943 1951/2196/1951 1950/2195/1950 1942/2186/1942 +f 1944/2180/1937 1952/2189/1945 1951/2196/1951 1943/2187/1943 +f 1945/2188/1944 1953/2197/1952 1960/2198/1953 1952/2189/1945 +f 1946/2190/1946 1954/2199/1954 1953/2200/1952 1945/2191/1944 +f 1947/2192/1947 1955/2201/1955 1954/2199/1954 1946/2190/1946 +f 1948/2193/1948 1956/2202/1956 1955/2201/1955 1947/2192/1947 +f 1949/2194/1949 1957/2203/1957 1956/2202/1956 1948/2193/1948 +f 1950/2195/1950 1958/2204/1958 1957/2203/1957 1949/2194/1949 +f 1951/2196/1951 1959/2205/1959 1958/2204/1958 1950/2195/1950 +f 1952/2189/1945 1960/2198/1953 1959/2205/1959 1951/2196/1951 +f 1953/2197/1952 1961/2206/1960 1968/2207/1961 1960/2198/1953 +f 1954/2199/1954 1962/2208/1962 1961/2209/1960 1953/2200/1952 +f 1955/2201/1955 1963/2210/1963 1962/2208/1962 1954/2199/1954 +f 1956/2202/1956 1964/2211/1964 1963/2210/1963 1955/2201/1955 +f 1957/2203/1957 1965/2212/1965 1964/2211/1964 1956/2202/1956 +f 1958/2204/1958 1966/2213/1966 1965/2212/1965 1957/2203/1957 +f 1959/2205/1959 1967/2214/1967 1966/2213/1966 1958/2204/1958 +f 1960/2198/1953 1968/2207/1961 1967/2214/1967 1959/2205/1959 +f 1961/2206/1960 1969/2215/1968 1976/2216/1969 1968/2207/1961 +f 1962/2208/1962 1970/2217/1970 1969/2218/1968 1961/2209/1960 +f 1963/2210/1963 1971/2219/1971 1970/2217/1970 1962/2208/1962 +f 1964/2211/1964 1972/2220/1972 1971/2219/1971 1963/2210/1963 +f 1965/2212/1965 1973/2221/1973 1972/2220/1972 1964/2211/1964 +f 1966/2213/1966 1974/2222/1974 1973/2221/1973 1965/2212/1965 +f 1967/2214/1967 1975/2223/1975 1974/2222/1974 1966/2213/1966 +f 1968/2207/1961 1976/2216/1969 1975/2223/1975 1967/2214/1967 +f 1969/2215/1968 1977/2224/1976 1984/2225/1977 1976/2216/1969 +f 1970/2217/1970 1978/2226/1978 1977/2227/1976 1969/2218/1968 +f 1971/2219/1971 1979/2228/1979 1978/2226/1978 1970/2217/1970 +f 1972/2220/1972 1980/2229/1980 1979/2228/1979 1971/2219/1971 +f 1973/2221/1973 1981/2230/1981 1980/2229/1980 1972/2220/1972 +f 1974/2222/1974 1982/2231/1982 1981/2230/1981 1973/2221/1973 +f 1975/2223/1975 1983/2232/1983 1982/2231/1982 1974/2222/1974 +f 1976/2216/1969 1984/2225/1977 1983/2232/1983 1975/2223/1975 +f 1977/2224/1976 1985/2233/1984 1992/2234/1985 1984/2225/1977 +f 1978/2226/1978 1986/2235/1986 1985/2236/1984 1977/2227/1976 +f 1979/2228/1979 1987/2237/1987 1986/2235/1986 1978/2226/1978 +f 1980/2229/1980 1988/2238/1988 1987/2237/1987 1979/2228/1979 +f 1981/2230/1981 1989/2239/1989 1988/2238/1988 1980/2229/1980 +f 1982/2231/1982 1990/2240/1990 1989/2239/1989 1981/2230/1981 +f 1983/2232/1983 1991/2241/1991 1990/2240/1990 1982/2231/1982 +f 1984/2225/1977 1992/2234/1985 1991/2241/1991 1983/2232/1983 +f 1993/2242/1992 2001/2243/1993 2008/2244/1994 2000/2245/1995 +f 1994/2246/1996 2002/2247/1997 2001/2248/1993 1993/2249/1992 +f 1995/2250/1998 2003/2251/1999 2002/2247/1997 1994/2246/1996 +f 1996/2252/2000 2004/2253/2001 2003/2251/1999 1995/2250/1998 +f 1997/2254/2002 2005/2255/2003 2004/2253/2001 1996/2252/2000 +f 1998/2256/2004 2006/2257/2005 2005/2255/2003 1997/2254/2002 +f 1999/2258/2006 2007/2259/2007 2006/2257/2005 1998/2256/2004 +f 2000/2245/1995 2008/2244/1994 2007/2259/2007 1999/2258/2006 +f 2001/2243/1993 2009/2260/2008 2016/2261/2009 2008/2244/1994 +f 2002/2247/1997 2010/2262/2010 2009/2263/2008 2001/2248/1993 +f 2003/2251/1999 2011/2264/2011 2010/2262/2010 2002/2247/1997 +f 2004/2253/2001 2012/2265/2012 2011/2264/2011 2003/2251/1999 +f 2005/2255/2003 2013/2266/2013 2012/2265/2012 2004/2253/2001 +f 2006/2257/2005 2014/2267/2014 2013/2266/2013 2005/2255/2003 +f 2007/2259/2007 2015/2268/2015 2014/2267/2014 2006/2257/2005 +f 2008/2244/1994 2016/2261/2009 2015/2268/2015 2007/2259/2007 +f 2009/2260/2008 2017/2269/2016 2024/2270/2017 2016/2261/2009 +f 2010/2262/2010 2018/2271/2018 2017/2272/2016 2009/2263/2008 +f 2011/2264/2011 2019/2273/2019 2018/2271/2018 2010/2262/2010 +f 2012/2265/2012 2020/2274/2020 2019/2273/2019 2011/2264/2011 +f 2013/2266/2013 2021/2275/2021 2020/2274/2020 2012/2265/2012 +f 2014/2267/2014 2022/2276/2022 2021/2275/2021 2013/2266/2013 +f 2015/2268/2015 2023/2277/2023 2022/2276/2022 2014/2267/2014 +f 2016/2261/2009 2024/2270/2017 2023/2277/2023 2015/2268/2015 +f 2017/2269/2016 2025/2278/2024 2032/2279/2025 2024/2270/2017 +f 2018/2271/2018 2026/2280/2026 2025/2281/2024 2017/2272/2016 +f 2019/2273/2019 2027/2282/2027 2026/2280/2026 2018/2271/2018 +f 2020/2274/2020 2028/2283/2028 2027/2282/2027 2019/2273/2019 +f 2021/2275/2021 2029/2284/2029 2028/2283/2028 2020/2274/2020 +f 2022/2276/2022 2030/2285/2030 2029/2284/2029 2021/2275/2021 +f 2023/2277/2023 2031/2286/2031 2030/2285/2030 2022/2276/2022 +f 2024/2270/2017 2032/2279/2025 2031/2286/2031 2023/2277/2023 +f 2025/2278/2024 2033/2287/2032 2040/2288/2033 2032/2279/2025 +f 2026/2280/2026 2034/2289/2034 2033/2290/2032 2025/2281/2024 +f 2027/2282/2027 2035/2291/2035 2034/2289/2034 2026/2280/2026 +f 2028/2283/2028 2036/2292/2036 2035/2291/2035 2027/2282/2027 +f 2029/2284/2029 2037/2293/2037 2036/2292/2036 2028/2283/2028 +f 2030/2285/2030 2038/2294/2038 2037/2293/2037 2029/2284/2029 +f 2031/2286/2031 2039/2295/2039 2038/2294/2038 2030/2285/2030 +f 2032/2279/2025 2040/2288/2033 2039/2295/2039 2031/2286/2031 +f 2033/2287/2032 2041/2296/2040 2048/2297/2041 2040/2288/2033 +f 2034/2289/2034 2042/2298/2042 2041/2299/2040 2033/2290/2032 +f 2035/2291/2035 2043/2300/2043 2042/2298/2042 2034/2289/2034 +f 2036/2292/2036 2044/2301/2044 2043/2300/2043 2035/2291/2035 +f 2037/2293/2037 2045/2302/2045 2044/2301/2044 2036/2292/2036 +f 2038/2294/2038 2046/2303/2046 2045/2302/2045 2037/2293/2037 +f 2039/2295/2039 2047/2304/2047 2046/2303/2046 2038/2294/2038 +f 2040/2288/2033 2048/2297/2041 2047/2304/2047 2039/2295/2039 +f 2041/2296/2040 2049/2305/2048 2056/2306/2049 2048/2297/2041 +f 2042/2298/2042 2050/2307/2050 2049/2308/2048 2041/2299/2040 +f 2043/2300/2043 2051/2309/2051 2050/2307/2050 2042/2298/2042 +f 2044/2301/2044 2052/2310/2052 2051/2309/2051 2043/2300/2043 +f 2045/2302/2045 2053/2311/2053 2052/2310/2052 2044/2301/2044 +f 2046/2303/2046 2054/2312/2054 2053/2311/2053 2045/2302/2045 +f 2047/2304/2047 2055/2313/2055 2054/2312/2054 2046/2303/2046 +f 2048/2297/2041 2056/2306/2049 2055/2313/2055 2047/2304/2047 +f 2049/2305/2048 2057/2314/2056 2064/2315/2057 2056/2306/2049 +f 2050/2307/2050 2058/2316/2058 2057/2317/2056 2049/2308/2048 +f 2051/2309/2051 2059/2318/2059 2058/2316/2058 2050/2307/2050 +f 2052/2310/2052 2060/2319/2060 2059/2318/2059 2051/2309/2051 +f 2053/2311/2053 2061/2320/2061 2060/2319/2060 2052/2310/2052 +f 2054/2312/2054 2062/2321/2062 2061/2320/2061 2053/2311/2053 +f 2055/2313/2055 2063/2322/2063 2062/2321/2062 2054/2312/2054 +f 2056/2306/2049 2064/2315/2057 2063/2322/2063 2055/2313/2055 +f 2057/2314/2056 2065/2323/2064 2072/2324/2065 2064/2315/2057 +f 2058/2316/2058 2066/2325/2066 2065/2326/2064 2057/2317/2056 +f 2059/2318/2059 2067/2327/2067 2066/2325/2066 2058/2316/2058 +f 2060/2319/2060 2068/2328/2068 2067/2327/2067 2059/2318/2059 +f 2061/2320/2061 2069/2329/2069 2068/2328/2068 2060/2319/2060 +f 2062/2321/2062 2070/2330/2070 2069/2329/2069 2061/2320/2061 +f 2063/2322/2063 2071/2331/2071 2070/2330/2070 2062/2321/2062 +f 2064/2315/2057 2072/2324/2065 2071/2331/2071 2063/2322/2063 +f 2065/2323/2064 2073/2332/2072 2080/2333/2073 2072/2324/2065 +f 2066/2325/2066 2074/2334/2074 2073/2335/2072 2065/2326/2064 +f 2067/2327/2067 2075/2336/2075 2074/2334/2074 2066/2325/2066 +f 2068/2328/2068 2076/2337/2076 2075/2336/2075 2067/2327/2067 +f 2069/2329/2069 2077/2338/2077 2076/2337/2076 2068/2328/2068 +f 2070/2330/2070 2078/2339/2078 2077/2338/2077 2069/2329/2069 +f 2071/2331/2071 2079/2340/2079 2078/2339/2078 2070/2330/2070 +f 2072/2324/2065 2080/2333/2073 2079/2340/2079 2071/2331/2071 +f 2073/2332/2072 2081/2341/2080 2088/2342/2081 2080/2333/2073 +f 2074/2334/2074 2082/2343/2082 2081/2344/2080 2073/2335/2072 +f 2075/2336/2075 2083/2345/2083 2082/2343/2082 2074/2334/2074 +f 2076/2337/2076 2084/2346/2084 2083/2345/2083 2075/2336/2075 +f 2077/2338/2077 2085/2347/2085 2084/2346/2084 2076/2337/2076 +f 2078/2339/2078 2086/2348/2086 2085/2347/2085 2077/2338/2077 +f 2079/2340/2079 2087/2349/2087 2086/2348/2086 2078/2339/2078 +f 2080/2333/2073 2088/2342/2081 2087/2349/2087 2079/2340/2079 +f 2081/2341/2080 2089/2350/2088 2096/2351/2089 2088/2342/2081 +f 2082/2343/2082 2090/2352/2090 2089/2353/2088 2081/2344/2080 +f 2083/2345/2083 2091/2354/2091 2090/2352/2090 2082/2343/2082 +f 2084/2346/2084 2092/2355/2092 2091/2354/2091 2083/2345/2083 +f 2085/2347/2085 2093/2356/2093 2092/2355/2092 2084/2346/2084 +f 2086/2348/2086 2094/2357/2094 2093/2356/2093 2085/2347/2085 +f 2087/2349/2087 2095/2358/2095 2094/2357/2094 2086/2348/2086 +f 2088/2342/2081 2096/2351/2089 2095/2358/2095 2087/2349/2087 +f 2089/2350/2088 2097/2359/2096 2104/2360/2097 2096/2351/2089 +f 2090/2352/2090 2098/2361/2098 2097/2362/2096 2089/2353/2088 +f 2091/2354/2091 2099/2363/2099 2098/2361/2098 2090/2352/2090 +f 2092/2355/2092 2100/2364/2100 2099/2363/2099 2091/2354/2091 +f 2093/2356/2093 2101/2365/2101 2100/2364/2100 2092/2355/2092 +f 2094/2357/2094 2102/2366/2102 2101/2365/2101 2093/2356/2093 +f 2095/2358/2095 2103/2367/2103 2102/2366/2102 2094/2357/2094 +f 2096/2351/2089 2104/2360/2097 2103/2367/2103 2095/2358/2095 +f 2097/2359/2096 2105/2368/2104 2112/2369/2105 2104/2360/2097 +f 2098/2361/2098 2106/2370/2106 2105/2371/2104 2097/2362/2096 +f 2099/2363/2099 2107/2372/2107 2106/2370/2106 2098/2361/2098 +f 2100/2364/2100 2108/2373/2108 2107/2372/2107 2099/2363/2099 +f 2101/2365/2101 2109/2374/2109 2108/2373/2108 2100/2364/2100 +f 2102/2366/2102 2110/2375/2110 2109/2374/2109 2101/2365/2101 +f 2103/2367/2103 2111/2376/2111 2110/2375/2110 2102/2366/2102 +f 2104/2360/2097 2112/2369/2105 2111/2376/2111 2103/2367/2103 +f 2105/2368/2104 2113/2377/2112 2120/2378/2113 2112/2369/2105 +f 2106/2370/2106 2114/2379/2114 2113/2380/2112 2105/2371/2104 +f 2107/2372/2107 2115/2381/2115 2114/2379/2114 2106/2370/2106 +f 2108/2373/2108 2116/2382/2116 2115/2381/2115 2107/2372/2107 +f 2109/2374/2109 2117/2383/2117 2116/2382/2116 2108/2373/2108 +f 2110/2375/2110 2118/2384/2118 2117/2383/2117 2109/2374/2109 +f 2111/2376/2111 2119/2385/2119 2118/2384/2118 2110/2375/2110 +f 2112/2369/2105 2120/2378/2113 2119/2385/2119 2111/2376/2111 +f 2121/2386/2120 2129/2387/2121 2136/2388/2122 2128/2389/2123 +f 2122/2390/2124 2130/2391/2125 2129/2392/2121 2121/2393/2120 +f 2123/2394/2126 2131/2395/2127 2130/2391/2125 2122/2390/2124 +f 2124/2396/2128 2132/2397/2129 2131/2395/2127 2123/2394/2126 +f 2125/2398/2130 2133/2399/2131 2132/2397/2129 2124/2396/2128 +f 2126/2400/2132 2134/2401/2133 2133/2399/2131 2125/2398/2130 +f 2127/2402/2134 2135/2403/2135 2134/2401/2133 2126/2400/2132 +f 2128/2389/2123 2136/2388/2122 2135/2403/2135 2127/2402/2134 +f 2129/2387/2121 2137/2404/2136 2144/2405/2137 2136/2388/2122 +f 2130/2391/2125 2138/2406/2138 2137/2407/2136 2129/2392/2121 +f 2131/2395/2127 2139/2408/2139 2138/2406/2138 2130/2391/2125 +f 2132/2397/2129 2140/2409/2140 2139/2408/2139 2131/2395/2127 +f 2133/2399/2131 2141/2410/2141 2140/2409/2140 2132/2397/2129 +f 2134/2401/2133 2142/2411/2142 2141/2410/2141 2133/2399/2131 +f 2135/2403/2135 2143/2412/2143 2142/2411/2142 2134/2401/2133 +f 2136/2388/2122 2144/2405/2137 2143/2412/2143 2135/2403/2135 +f 2137/2404/2136 2145/2413/2144 2152/2414/2145 2144/2405/2137 +f 2138/2406/2138 2146/2415/2146 2145/2416/2144 2137/2407/2136 +f 2139/2408/2139 2147/2417/2147 2146/2415/2146 2138/2406/2138 +f 2140/2409/2140 2148/2418/2148 2147/2417/2147 2139/2408/2139 +f 2141/2410/2141 2149/2419/2149 2148/2418/2148 2140/2409/2140 +f 2142/2411/2142 2150/2420/2150 2149/2419/2149 2141/2410/2141 +f 2143/2412/2143 2151/2421/2151 2150/2420/2150 2142/2411/2142 +f 2144/2405/2137 2152/2414/2145 2151/2421/2151 2143/2412/2143 +f 2145/2413/2144 2153/2422/2152 2160/2423/2153 2152/2414/2145 +f 2146/2415/2146 2154/2424/2154 2153/2425/2152 2145/2416/2144 +f 2147/2417/2147 2155/2426/2155 2154/2424/2154 2146/2415/2146 +f 2148/2418/2148 2156/2427/2156 2155/2426/2155 2147/2417/2147 +f 2149/2419/2149 2157/2428/2157 2156/2427/2156 2148/2418/2148 +f 2150/2420/2150 2158/2429/2158 2157/2428/2157 2149/2419/2149 +f 2151/2421/2151 2159/2430/2159 2158/2429/2158 2150/2420/2150 +f 2152/2414/2145 2160/2423/2153 2159/2430/2159 2151/2421/2151 +f 2153/2422/2152 2161/2431/2160 2168/2432/2161 2160/2423/2153 +f 2154/2424/2154 2162/2433/2162 2161/2434/2160 2153/2425/2152 +f 2155/2426/2155 2163/2435/2163 2162/2433/2162 2154/2424/2154 +f 2156/2427/2156 2164/2436/2164 2163/2435/2163 2155/2426/2155 +f 2157/2428/2157 2165/2437/2165 2164/2436/2164 2156/2427/2156 +f 2158/2429/2158 2166/2438/2166 2165/2437/2165 2157/2428/2157 +f 2159/2430/2159 2167/2439/2167 2166/2438/2166 2158/2429/2158 +f 2160/2423/2153 2168/2432/2161 2167/2439/2167 2159/2430/2159 +f 2161/2431/2160 2169/2440/2168 2176/2441/2169 2168/2432/2161 +f 2162/2433/2162 2170/2442/2170 2169/2443/2168 2161/2434/2160 +f 2163/2435/2163 2171/2444/2171 2170/2442/2170 2162/2433/2162 +f 2164/2436/2164 2172/2445/2172 2171/2444/2171 2163/2435/2163 +f 2165/2437/2165 2173/2446/2173 2172/2445/2172 2164/2436/2164 +f 2166/2438/2166 2174/2447/2174 2173/2446/2173 2165/2437/2165 +f 2167/2439/2167 2175/2448/2175 2174/2447/2174 2166/2438/2166 +f 2168/2432/2161 2176/2441/2169 2175/2448/2175 2167/2439/2167 +f 2169/2440/2168 2177/2449/2176 2184/2450/2177 2176/2441/2169 +f 2170/2442/2170 2178/2451/2178 2177/2452/2176 2169/2443/2168 +f 2171/2444/2171 2179/2453/2179 2178/2451/2178 2170/2442/2170 +f 2172/2445/2172 2180/2454/2180 2179/2453/2179 2171/2444/2171 +f 2173/2446/2173 2181/2455/2181 2180/2454/2180 2172/2445/2172 +f 2174/2447/2174 2182/2456/2182 2181/2455/2181 2173/2446/2173 +f 2175/2448/2175 2183/2457/2183 2182/2456/2182 2174/2447/2174 +f 2176/2441/2169 2184/2450/2177 2183/2457/2183 2175/2448/2175 +f 2177/2449/2176 2185/2458/2184 2192/2459/2185 2184/2450/2177 +f 2178/2451/2178 2186/2460/2186 2185/2461/2184 2177/2452/2176 +f 2179/2453/2179 2187/2462/2187 2186/2460/2186 2178/2451/2178 +f 2180/2454/2180 2188/2463/2188 2187/2462/2187 2179/2453/2179 +f 2181/2455/2181 2189/2464/2189 2188/2463/2188 2180/2454/2180 +f 2182/2456/2182 2190/2465/2190 2189/2464/2189 2181/2455/2181 +f 2183/2457/2183 2191/2466/2191 2190/2465/2190 2182/2456/2182 +f 2184/2450/2177 2192/2459/2185 2191/2466/2191 2183/2457/2183 +f 2185/2458/2184 2193/2467/2192 2200/2468/2193 2192/2459/2185 +f 2186/2460/2186 2194/2469/2194 2193/2470/2192 2185/2461/2184 +f 2187/2462/2187 2195/2471/2195 2194/2469/2194 2186/2460/2186 +f 2188/2463/2188 2196/2472/2196 2195/2471/2195 2187/2462/2187 +f 2189/2464/2189 2197/2473/2197 2196/2472/2196 2188/2463/2188 +f 2190/2465/2190 2198/2474/2198 2197/2473/2197 2189/2464/2189 +f 2191/2466/2191 2199/2475/2199 2198/2474/2198 2190/2465/2190 +f 2192/2459/2185 2200/2468/2193 2199/2475/2199 2191/2466/2191 +f 2193/2467/2192 2201/2476/2200 2208/2477/2201 2200/2468/2193 +f 2194/2469/2194 2202/2478/2202 2201/2479/2200 2193/2470/2192 +f 2195/2471/2195 2203/2480/2203 2202/2478/2202 2194/2469/2194 +f 2196/2472/2196 2204/2481/2204 2203/2480/2203 2195/2471/2195 +f 2197/2473/2197 2205/2482/2205 2204/2481/2204 2196/2472/2196 +f 2198/2474/2198 2206/2483/2206 2205/2482/2205 2197/2473/2197 +f 2199/2475/2199 2207/2484/2207 2206/2483/2206 2198/2474/2198 +f 2200/2468/2193 2208/2477/2201 2207/2484/2207 2199/2475/2199 +f 2201/2476/2200 2209/2485/2208 2216/2486/2209 2208/2477/2201 +f 2202/2478/2202 2210/2487/2210 2209/2488/2208 2201/2479/2200 +f 2203/2480/2203 2211/2489/2211 2210/2487/2210 2202/2478/2202 +f 2204/2481/2204 2212/2490/2212 2211/2489/2211 2203/2480/2203 +f 2205/2482/2205 2213/2491/2213 2212/2490/2212 2204/2481/2204 +f 2206/2483/2206 2214/2492/2214 2213/2491/2213 2205/2482/2205 +f 2207/2484/2207 2215/2493/2215 2214/2492/2214 2206/2483/2206 +f 2208/2477/2201 2216/2486/2209 2215/2493/2215 2207/2484/2207 +f 2209/2485/2208 2217/2494/2216 2224/2495/2217 2216/2486/2209 +f 2210/2487/2210 2218/2496/2218 2217/2497/2216 2209/2488/2208 +f 2211/2489/2211 2219/2498/2219 2218/2496/2218 2210/2487/2210 +f 2212/2490/2212 2220/2499/2220 2219/2498/2219 2211/2489/2211 +f 2213/2491/2213 2221/2500/2221 2220/2499/2220 2212/2490/2212 +f 2214/2492/2214 2222/2501/2222 2221/2500/2221 2213/2491/2213 +f 2215/2493/2215 2223/2502/2223 2222/2501/2222 2214/2492/2214 +f 2216/2486/2209 2224/2495/2217 2223/2502/2223 2215/2493/2215 +f 2217/2494/2216 2225/2503/2224 2232/2504/2225 2224/2495/2217 +f 2218/2496/2218 2226/2505/2226 2225/2506/2224 2217/2497/2216 +f 2219/2498/2219 2227/2507/2227 2226/2505/2226 2218/2496/2218 +f 2220/2499/2220 2228/2508/2228 2227/2507/2227 2219/2498/2219 +f 2221/2500/2221 2229/2509/2229 2228/2508/2228 2220/2499/2220 +f 2222/2501/2222 2230/2510/2230 2229/2509/2229 2221/2500/2221 +f 2223/2502/2223 2231/2511/2231 2230/2510/2230 2222/2501/2222 +f 2224/2495/2217 2232/2504/2225 2231/2511/2231 2223/2502/2223 +f 2225/2503/2224 2233/2512/2232 2240/2513/2233 2232/2504/2225 +f 2226/2505/2226 2234/2514/2234 2233/2515/2232 2225/2506/2224 +f 2227/2507/2227 2235/2516/2235 2234/2514/2234 2226/2505/2226 +f 2228/2508/2228 2236/2517/2236 2235/2516/2235 2227/2507/2227 +f 2229/2509/2229 2237/2518/2237 2236/2517/2236 2228/2508/2228 +f 2230/2510/2230 2238/2519/2238 2237/2518/2237 2229/2509/2229 +f 2231/2511/2231 2239/2520/2239 2238/2519/2238 2230/2510/2230 +f 2232/2504/2225 2240/2513/2233 2239/2520/2239 2231/2511/2231 +f 2233/2512/2232 2241/2521/2240 2248/2522/2241 2240/2513/2233 +f 2234/2514/2234 2242/2523/2242 2241/2524/2240 2233/2515/2232 +f 2235/2516/2235 2243/2525/2243 2242/2523/2242 2234/2514/2234 +f 2236/2517/2236 2244/2526/2244 2243/2525/2243 2235/2516/2235 +f 2237/2518/2237 2245/2527/2245 2244/2526/2244 2236/2517/2236 +f 2238/2519/2238 2246/2528/2246 2245/2527/2245 2237/2518/2237 +f 2239/2520/2239 2247/2529/2247 2246/2528/2246 2238/2519/2238 +f 2240/2513/2233 2248/2522/2241 2247/2529/2247 2239/2520/2239 +f 2249/2530/2248 2257/2531/2249 2264/2532/2250 2256/2533/2251 +f 2250/2534/2252 2258/2535/2253 2257/2536/2249 2249/2537/2248 +f 2251/2538/2254 2259/2539/2255 2258/2535/2253 2250/2534/2252 +f 2252/2540/2256 2260/2541/2257 2259/2539/2255 2251/2538/2254 +f 2253/2542/2258 2261/2543/2259 2260/2541/2257 2252/2540/2256 +f 2254/2544/2260 2262/2545/2261 2261/2543/2259 2253/2542/2258 +f 2255/2546/2262 2263/2547/2263 2262/2545/2261 2254/2544/2260 +f 2256/2533/2251 2264/2532/2250 2263/2547/2263 2255/2546/2262 +f 2257/2531/2249 2265/2548/2264 2272/2549/2265 2264/2532/2250 +f 2258/2535/2253 2266/2550/2266 2265/2551/2264 2257/2536/2249 +f 2259/2539/2255 2267/2552/2267 2266/2550/2266 2258/2535/2253 +f 2260/2541/2257 2268/2553/2268 2267/2552/2267 2259/2539/2255 +f 2261/2543/2259 2269/2554/2269 2268/2553/2268 2260/2541/2257 +f 2262/2545/2261 2270/2555/2270 2269/2554/2269 2261/2543/2259 +f 2263/2547/2263 2271/2556/2271 2270/2555/2270 2262/2545/2261 +f 2264/2532/2250 2272/2549/2265 2271/2556/2271 2263/2547/2263 +f 2265/2548/2264 2273/2557/2272 2280/2558/2273 2272/2549/2265 +f 2266/2550/2266 2274/2559/2274 2273/2560/2272 2265/2551/2264 +f 2267/2552/2267 2275/2561/2275 2274/2559/2274 2266/2550/2266 +f 2268/2553/2268 2276/2562/2276 2275/2561/2275 2267/2552/2267 +f 2269/2554/2269 2277/2563/2277 2276/2562/2276 2268/2553/2268 +f 2270/2555/2270 2278/2564/2278 2277/2563/2277 2269/2554/2269 +f 2271/2556/2271 2279/2565/2279 2278/2564/2278 2270/2555/2270 +f 2272/2549/2265 2280/2558/2273 2279/2565/2279 2271/2556/2271 +f 2273/2557/2272 2281/2566/2280 2288/2567/2281 2280/2558/2273 +f 2274/2559/2274 2282/2568/2282 2281/2569/2280 2273/2560/2272 +f 2275/2561/2275 2283/2570/2283 2282/2568/2282 2274/2559/2274 +f 2276/2562/2276 2284/2571/2284 2283/2570/2283 2275/2561/2275 +f 2277/2563/2277 2285/2572/2285 2284/2571/2284 2276/2562/2276 +f 2278/2564/2278 2286/2573/2286 2285/2572/2285 2277/2563/2277 +f 2279/2565/2279 2287/2574/2287 2286/2573/2286 2278/2564/2278 +f 2280/2558/2273 2288/2567/2281 2287/2574/2287 2279/2565/2279 +f 2281/2566/2280 2289/2575/2288 2296/2576/2289 2288/2567/2281 +f 2282/2568/2282 2290/2577/2290 2289/2578/2288 2281/2569/2280 +f 2283/2570/2283 2291/2579/2291 2290/2577/2290 2282/2568/2282 +f 2284/2571/2284 2292/2580/2292 2291/2579/2291 2283/2570/2283 +f 2285/2572/2285 2293/2581/2293 2292/2580/2292 2284/2571/2284 +f 2286/2573/2286 2294/2582/2294 2293/2581/2293 2285/2572/2285 +f 2287/2574/2287 2295/2583/2295 2294/2582/2294 2286/2573/2286 +f 2288/2567/2281 2296/2576/2289 2295/2583/2295 2287/2574/2287 +f 2289/2575/2288 2297/2584/2296 2304/2585/2297 2296/2576/2289 +f 2290/2577/2290 2298/2586/2298 2297/2587/2296 2289/2578/2288 +f 2291/2579/2291 2299/2588/2299 2298/2586/2298 2290/2577/2290 +f 2292/2580/2292 2300/2589/2300 2299/2588/2299 2291/2579/2291 +f 2293/2581/2293 2301/2590/2301 2300/2589/2300 2292/2580/2292 +f 2294/2582/2294 2302/2591/2302 2301/2590/2301 2293/2581/2293 +f 2295/2583/2295 2303/2592/2303 2302/2591/2302 2294/2582/2294 +f 2296/2576/2289 2304/2585/2297 2303/2592/2303 2295/2583/2295 +f 2297/2584/2296 2305/2593/2304 2312/2594/2305 2304/2585/2297 +f 2298/2586/2298 2306/2595/2306 2305/2596/2304 2297/2587/2296 +f 2299/2588/2299 2307/2597/2307 2306/2595/2306 2298/2586/2298 +f 2300/2589/2300 2308/2598/2308 2307/2597/2307 2299/2588/2299 +f 2301/2590/2301 2309/2599/2309 2308/2598/2308 2300/2589/2300 +f 2302/2591/2302 2310/2600/2310 2309/2599/2309 2301/2590/2301 +f 2303/2592/2303 2311/2601/2311 2310/2600/2310 2302/2591/2302 +f 2304/2585/2297 2312/2594/2305 2311/2601/2311 2303/2592/2303 +f 2305/2593/2304 2313/2602/2312 2320/2603/2313 2312/2594/2305 +f 2306/2595/2306 2314/2604/2314 2313/2605/2312 2305/2596/2304 +f 2307/2597/2307 2315/2606/2315 2314/2604/2314 2306/2595/2306 +f 2308/2598/2308 2316/2607/2316 2315/2606/2315 2307/2597/2307 +f 2309/2599/2309 2317/2608/2317 2316/2607/2316 2308/2598/2308 +f 2310/2600/2310 2318/2609/2318 2317/2608/2317 2309/2599/2309 +f 2311/2601/2311 2319/2610/2319 2318/2609/2318 2310/2600/2310 +f 2312/2594/2305 2320/2603/2313 2319/2610/2319 2311/2601/2311 +f 2313/2602/2312 2321/2611/2320 2328/2612/2321 2320/2603/2313 +f 2314/2604/2314 2322/2613/2322 2321/2614/2320 2313/2605/2312 +f 2315/2606/2315 2323/2615/2323 2322/2613/2322 2314/2604/2314 +f 2316/2607/2316 2324/2616/2324 2323/2615/2323 2315/2606/2315 +f 2317/2608/2317 2325/2617/2325 2324/2616/2324 2316/2607/2316 +f 2318/2609/2318 2326/2618/2326 2325/2617/2325 2317/2608/2317 +f 2319/2610/2319 2327/2619/2327 2326/2618/2326 2318/2609/2318 +f 2320/2603/2313 2328/2612/2321 2327/2619/2327 2319/2610/2319 +f 2321/2611/2320 2329/2620/2328 2336/2621/2329 2328/2612/2321 +f 2322/2613/2322 2330/2622/2330 2329/2623/2328 2321/2614/2320 +f 2323/2615/2323 2331/2624/2331 2330/2622/2330 2322/2613/2322 +f 2324/2616/2324 2332/2625/2332 2331/2624/2331 2323/2615/2323 +f 2325/2617/2325 2333/2626/2333 2332/2625/2332 2324/2616/2324 +f 2326/2618/2326 2334/2627/2334 2333/2626/2333 2325/2617/2325 +f 2327/2619/2327 2335/2628/2335 2334/2627/2334 2326/2618/2326 +f 2328/2612/2321 2336/2621/2329 2335/2628/2335 2327/2619/2327 +f 2329/2620/2328 2337/2629/2336 2344/2630/2337 2336/2621/2329 +f 2330/2622/2330 2338/2631/2338 2337/2632/2336 2329/2623/2328 +f 2331/2624/2331 2339/2633/2339 2338/2631/2338 2330/2622/2330 +f 2332/2625/2332 2340/2634/2340 2339/2633/2339 2331/2624/2331 +f 2333/2626/2333 2341/2635/2341 2340/2634/2340 2332/2625/2332 +f 2334/2627/2334 2342/2636/2342 2341/2635/2341 2333/2626/2333 +f 2335/2628/2335 2343/2637/2343 2342/2636/2342 2334/2627/2334 +f 2336/2621/2329 2344/2630/2337 2343/2637/2343 2335/2628/2335 +f 2337/2629/2336 2345/2638/2344 2352/2639/2345 2344/2630/2337 +f 2338/2631/2338 2346/2640/2346 2345/2641/2344 2337/2632/2336 +f 2339/2633/2339 2347/2642/2347 2346/2640/2346 2338/2631/2338 +f 2340/2634/2340 2348/2643/2348 2347/2642/2347 2339/2633/2339 +f 2341/2635/2341 2349/2644/2349 2348/2643/2348 2340/2634/2340 +f 2342/2636/2342 2350/2645/2350 2349/2644/2349 2341/2635/2341 +f 2343/2637/2343 2351/2646/2351 2350/2645/2350 2342/2636/2342 +f 2344/2630/2337 2352/2639/2345 2351/2646/2351 2343/2637/2343 +f 2345/2638/2344 2353/2647/2352 2360/2648/2353 2352/2639/2345 +f 2346/2640/2346 2354/2649/2354 2353/2650/2352 2345/2641/2344 +f 2347/2642/2347 2355/2651/2355 2354/2649/2354 2346/2640/2346 +f 2348/2643/2348 2356/2652/2356 2355/2651/2355 2347/2642/2347 +f 2349/2644/2349 2357/2653/2357 2356/2652/2356 2348/2643/2348 +f 2350/2645/2350 2358/2654/2358 2357/2653/2357 2349/2644/2349 +f 2351/2646/2351 2359/2655/2359 2358/2654/2358 2350/2645/2350 +f 2352/2639/2345 2360/2648/2353 2359/2655/2359 2351/2646/2351 +f 2353/2647/2352 2361/2656/2360 2368/2657/2361 2360/2648/2353 +f 2354/2649/2354 2362/2658/2362 2361/2659/2360 2353/2650/2352 +f 2355/2651/2355 2363/2660/2363 2362/2658/2362 2354/2649/2354 +f 2356/2652/2356 2364/2661/2364 2363/2660/2363 2355/2651/2355 +f 2357/2653/2357 2365/2662/2365 2364/2661/2364 2356/2652/2356 +f 2358/2654/2358 2366/2663/2366 2365/2662/2365 2357/2653/2357 +f 2359/2655/2359 2367/2664/2367 2366/2663/2366 2358/2654/2358 +f 2360/2648/2353 2368/2657/2361 2367/2664/2367 2359/2655/2359 +f 2361/2656/2360 2369/2665/2368 2376/2666/2369 2368/2657/2361 +f 2362/2658/2362 2370/2667/2370 2369/2668/2368 2361/2659/2360 +f 2363/2660/2363 2371/2669/2371 2370/2667/2370 2362/2658/2362 +f 2364/2661/2364 2372/2670/2372 2371/2669/2371 2363/2660/2363 +f 2365/2662/2365 2373/2671/2373 2372/2670/2372 2364/2661/2364 +f 2366/2663/2366 2374/2672/2374 2373/2671/2373 2365/2662/2365 +f 2367/2664/2367 2375/2673/2375 2374/2672/2374 2366/2663/2366 +f 2368/2657/2361 2376/2666/2369 2375/2673/2375 2367/2664/2367 +f 2377/2674/2376 2385/2675/2377 2392/2676/2378 2384/2677/2379 +f 2378/2678/2380 2386/2679/2381 2385/2680/2377 2377/2681/2376 +f 2379/2682/2382 2387/2683/2383 2386/2679/2381 2378/2678/2380 +f 2380/2684/2384 2388/2685/2385 2387/2683/2383 2379/2682/2382 +f 2381/2686/2386 2389/2687/2387 2388/2685/2385 2380/2684/2384 +f 2382/2688/2388 2390/2689/2389 2389/2687/2387 2381/2686/2386 +f 2383/2690/2390 2391/2691/2391 2390/2689/2389 2382/2688/2388 +f 2384/2677/2379 2392/2676/2378 2391/2691/2391 2383/2690/2390 +f 2385/2675/2377 2393/2692/2392 2400/2693/2393 2392/2676/2378 +f 2386/2679/2381 2394/2694/2394 2393/2695/2392 2385/2680/2377 +f 2387/2683/2383 2395/2696/2395 2394/2694/2394 2386/2679/2381 +f 2388/2685/2385 2396/2697/2396 2395/2696/2395 2387/2683/2383 +f 2389/2687/2387 2397/2698/2397 2396/2697/2396 2388/2685/2385 +f 2390/2689/2389 2398/2699/2398 2397/2698/2397 2389/2687/2387 +f 2391/2691/2391 2399/2700/2399 2398/2699/2398 2390/2689/2389 +f 2392/2676/2378 2400/2693/2393 2399/2700/2399 2391/2691/2391 +f 2393/2692/2392 2401/2701/2400 2408/2702/2401 2400/2693/2393 +f 2394/2694/2394 2402/2703/2402 2401/2704/2400 2393/2695/2392 +f 2395/2696/2395 2403/2705/2403 2402/2703/2402 2394/2694/2394 +f 2396/2697/2396 2404/2706/2404 2403/2705/2403 2395/2696/2395 +f 2397/2698/2397 2405/2707/2405 2404/2706/2404 2396/2697/2396 +f 2398/2699/2398 2406/2708/2406 2405/2707/2405 2397/2698/2397 +f 2399/2700/2399 2407/2709/2407 2406/2708/2406 2398/2699/2398 +f 2400/2693/2393 2408/2702/2401 2407/2709/2407 2399/2700/2399 +f 2401/2701/2400 2409/2710/2408 2416/2711/2409 2408/2702/2401 +f 2402/2703/2402 2410/2712/2410 2409/2713/2408 2401/2704/2400 +f 2403/2705/2403 2411/2714/2411 2410/2712/2410 2402/2703/2402 +f 2404/2706/2404 2412/2715/2412 2411/2714/2411 2403/2705/2403 +f 2405/2707/2405 2413/2716/2413 2412/2715/2412 2404/2706/2404 +f 2406/2708/2406 2414/2717/2414 2413/2716/2413 2405/2707/2405 +f 2407/2709/2407 2415/2718/2415 2414/2717/2414 2406/2708/2406 +f 2408/2702/2401 2416/2711/2409 2415/2718/2415 2407/2709/2407 +f 2409/2710/2408 2417/2719/2416 2424/2720/2417 2416/2711/2409 +f 2410/2712/2410 2418/2721/2418 2417/2722/2416 2409/2713/2408 +f 2411/2714/2411 2419/2723/2419 2418/2721/2418 2410/2712/2410 +f 2412/2715/2412 2420/2724/2420 2419/2723/2419 2411/2714/2411 +f 2413/2716/2413 2421/2725/2421 2420/2724/2420 2412/2715/2412 +f 2414/2717/2414 2422/2726/2422 2421/2725/2421 2413/2716/2413 +f 2415/2718/2415 2423/2727/2423 2422/2726/2422 2414/2717/2414 +f 2416/2711/2409 2424/2720/2417 2423/2727/2423 2415/2718/2415 +f 2417/2719/2416 2425/2728/2424 2432/2729/2425 2424/2720/2417 +f 2418/2721/2418 2426/2730/2426 2425/2731/2424 2417/2722/2416 +f 2419/2723/2419 2427/2732/2427 2426/2730/2426 2418/2721/2418 +f 2420/2724/2420 2428/2733/2428 2427/2732/2427 2419/2723/2419 +f 2421/2725/2421 2429/2734/2429 2428/2733/2428 2420/2724/2420 +f 2422/2726/2422 2430/2735/2430 2429/2734/2429 2421/2725/2421 +f 2423/2727/2423 2431/2736/2431 2430/2735/2430 2422/2726/2422 +f 2424/2720/2417 2432/2729/2425 2431/2736/2431 2423/2727/2423 +f 2425/2728/2424 2433/2737/2432 2440/2738/2433 2432/2729/2425 +f 2426/2730/2426 2434/2739/2434 2433/2740/2432 2425/2731/2424 +f 2427/2732/2427 2435/2741/2435 2434/2739/2434 2426/2730/2426 +f 2428/2733/2428 2436/2742/2436 2435/2741/2435 2427/2732/2427 +f 2429/2734/2429 2437/2743/2437 2436/2742/2436 2428/2733/2428 +f 2430/2735/2430 2438/2744/2438 2437/2743/2437 2429/2734/2429 +f 2431/2736/2431 2439/2745/2439 2438/2744/2438 2430/2735/2430 +f 2432/2729/2425 2440/2738/2433 2439/2745/2439 2431/2736/2431 +f 2433/2737/2432 2441/2746/2440 2448/2747/2441 2440/2738/2433 +f 2434/2739/2434 2442/2748/2442 2441/2749/2440 2433/2740/2432 +f 2435/2741/2435 2443/2750/2443 2442/2748/2442 2434/2739/2434 +f 2436/2742/2436 2444/2751/2444 2443/2750/2443 2435/2741/2435 +f 2437/2743/2437 2445/2752/2445 2444/2751/2444 2436/2742/2436 +f 2438/2744/2438 2446/2753/2446 2445/2752/2445 2437/2743/2437 +f 2439/2745/2439 2447/2754/2447 2446/2753/2446 2438/2744/2438 +f 2440/2738/2433 2448/2747/2441 2447/2754/2447 2439/2745/2439 +f 2441/2746/2440 2449/2755/2448 2456/2756/2449 2448/2747/2441 +f 2442/2748/2442 2450/2757/2450 2449/2758/2448 2441/2749/2440 +f 2443/2750/2443 2451/2759/2451 2450/2757/2450 2442/2748/2442 +f 2444/2751/2444 2452/2760/2452 2451/2759/2451 2443/2750/2443 +f 2445/2752/2445 2453/2761/2453 2452/2760/2452 2444/2751/2444 +f 2446/2753/2446 2454/2762/2454 2453/2761/2453 2445/2752/2445 +f 2447/2754/2447 2455/2763/2455 2454/2762/2454 2446/2753/2446 +f 2448/2747/2441 2456/2756/2449 2455/2763/2455 2447/2754/2447 +f 2449/2755/2448 2457/2764/2456 2464/2765/2457 2456/2756/2449 +f 2450/2757/2450 2458/2766/2458 2457/2767/2456 2449/2758/2448 +f 2451/2759/2451 2459/2768/2459 2458/2766/2458 2450/2757/2450 +f 2452/2760/2452 2460/2769/2460 2459/2768/2459 2451/2759/2451 +f 2453/2761/2453 2461/2770/2461 2460/2769/2460 2452/2760/2452 +f 2454/2762/2454 2462/2771/2462 2461/2770/2461 2453/2761/2453 +f 2455/2763/2455 2463/2772/2463 2462/2771/2462 2454/2762/2454 +f 2456/2756/2449 2464/2765/2457 2463/2772/2463 2455/2763/2455 +f 2457/2764/2456 2465/2773/2464 2472/2774/2465 2464/2765/2457 +f 2458/2766/2458 2466/2775/2466 2465/2776/2464 2457/2767/2456 +f 2459/2768/2459 2467/2777/2467 2466/2775/2466 2458/2766/2458 +f 2460/2769/2460 2468/2778/2468 2467/2777/2467 2459/2768/2459 +f 2461/2770/2461 2469/2779/2469 2468/2778/2468 2460/2769/2460 +f 2462/2771/2462 2470/2780/2470 2469/2779/2469 2461/2770/2461 +f 2463/2772/2463 2471/2781/2471 2470/2780/2470 2462/2771/2462 +f 2464/2765/2457 2472/2774/2465 2471/2781/2471 2463/2772/2463 +f 2465/2773/2464 2473/2782/2472 2480/2783/2473 2472/2774/2465 +f 2466/2775/2466 2474/2784/2474 2473/2785/2472 2465/2776/2464 +f 2467/2777/2467 2475/2786/2475 2474/2784/2474 2466/2775/2466 +f 2468/2778/2468 2476/2787/2476 2475/2786/2475 2467/2777/2467 +f 2469/2779/2469 2477/2788/2477 2476/2787/2476 2468/2778/2468 +f 2470/2780/2470 2478/2789/2478 2477/2788/2477 2469/2779/2469 +f 2471/2781/2471 2479/2790/2479 2478/2789/2478 2470/2780/2470 +f 2472/2774/2465 2480/2783/2473 2479/2790/2479 2471/2781/2471 +f 2473/2782/2472 2481/2791/2480 2488/2792/2481 2480/2783/2473 +f 2474/2784/2474 2482/2793/2482 2481/2794/2480 2473/2785/2472 +f 2475/2786/2475 2483/2795/2483 2482/2793/2482 2474/2784/2474 +f 2476/2787/2476 2484/2796/2484 2483/2795/2483 2475/2786/2475 +f 2477/2788/2477 2485/2797/2485 2484/2796/2484 2476/2787/2476 +f 2478/2789/2478 2486/2798/2486 2485/2797/2485 2477/2788/2477 +f 2479/2790/2479 2487/2799/2487 2486/2798/2486 2478/2789/2478 +f 2480/2783/2473 2488/2792/2481 2487/2799/2487 2479/2790/2479 +f 2481/2791/2480 2489/2800/2488 2496/2801/2489 2488/2792/2481 +f 2482/2793/2482 2490/2802/2490 2489/2803/2488 2481/2794/2480 +f 2483/2795/2483 2491/2804/2491 2490/2802/2490 2482/2793/2482 +f 2484/2796/2484 2492/2805/2492 2491/2804/2491 2483/2795/2483 +f 2485/2797/2485 2493/2806/2493 2492/2805/2492 2484/2796/2484 +f 2486/2798/2486 2494/2807/2494 2493/2806/2493 2485/2797/2485 +f 2487/2799/2487 2495/2808/2495 2494/2807/2494 2486/2798/2486 +f 2488/2792/2481 2496/2801/2489 2495/2808/2495 2487/2799/2487 +f 2489/2800/2488 2497/2809/2496 2504/2810/2497 2496/2801/2489 +f 2490/2802/2490 2498/2811/2498 2497/2812/2496 2489/2803/2488 +f 2491/2804/2491 2499/2813/2499 2498/2811/2498 2490/2802/2490 +f 2492/2805/2492 2500/2814/2500 2499/2813/2499 2491/2804/2491 +f 2493/2806/2493 2501/2815/2501 2500/2814/2500 2492/2805/2492 +f 2494/2807/2494 2502/2816/2502 2501/2815/2501 2493/2806/2493 +f 2495/2808/2495 2503/2817/2503 2502/2816/2502 2494/2807/2494 +f 2496/2801/2489 2504/2810/2497 2503/2817/2503 2495/2808/2495 +f 2505/2818/2504 2513/2819/2505 2520/2820/2506 2512/2821/2507 +f 2506/2822/2508 2514/2823/2509 2513/2824/2505 2505/2825/2504 +f 2507/2826/2510 2515/2827/2511 2514/2823/2509 2506/2822/2508 +f 2508/2828/2512 2516/2829/2513 2515/2827/2511 2507/2826/2510 +f 2509/2830/2514 2517/2831/2515 2516/2829/2513 2508/2828/2512 +f 2510/2832/2516 2518/2833/2517 2517/2831/2515 2509/2830/2514 +f 2511/2834/2518 2519/2835/2519 2518/2833/2517 2510/2832/2516 +f 2512/2821/2507 2520/2820/2506 2519/2835/2519 2511/2834/2518 +f 2513/2819/2505 2521/2836/2520 2528/2837/2521 2520/2820/2506 +f 2514/2823/2509 2522/2838/2522 2521/2839/2520 2513/2824/2505 +f 2515/2827/2511 2523/2840/2523 2522/2838/2522 2514/2823/2509 +f 2516/2829/2513 2524/2841/2524 2523/2840/2523 2515/2827/2511 +f 2517/2831/2515 2525/2842/2525 2524/2841/2524 2516/2829/2513 +f 2518/2833/2517 2526/2843/2526 2525/2842/2525 2517/2831/2515 +f 2519/2835/2519 2527/2844/2527 2526/2843/2526 2518/2833/2517 +f 2520/2820/2506 2528/2837/2521 2527/2844/2527 2519/2835/2519 +f 2521/2836/2520 2529/2845/2528 2536/2846/2529 2528/2837/2521 +f 2522/2838/2522 2530/2847/2530 2529/2848/2528 2521/2839/2520 +f 2523/2840/2523 2531/2849/2531 2530/2847/2530 2522/2838/2522 +f 2524/2841/2524 2532/2850/2532 2531/2849/2531 2523/2840/2523 +f 2525/2842/2525 2533/2851/2533 2532/2850/2532 2524/2841/2524 +f 2526/2843/2526 2534/2852/2534 2533/2851/2533 2525/2842/2525 +f 2527/2844/2527 2535/2853/2535 2534/2852/2534 2526/2843/2526 +f 2528/2837/2521 2536/2846/2529 2535/2853/2535 2527/2844/2527 +f 2529/2845/2528 2537/2854/2536 2544/2855/2537 2536/2846/2529 +f 2530/2847/2530 2538/2856/2538 2537/2857/2536 2529/2848/2528 +f 2531/2849/2531 2539/2858/2539 2538/2856/2538 2530/2847/2530 +f 2532/2850/2532 2540/2859/2540 2539/2858/2539 2531/2849/2531 +f 2533/2851/2533 2541/2860/2541 2540/2859/2540 2532/2850/2532 +f 2534/2852/2534 2542/2861/2542 2541/2860/2541 2533/2851/2533 +f 2535/2853/2535 2543/2862/2543 2542/2861/2542 2534/2852/2534 +f 2536/2846/2529 2544/2855/2537 2543/2862/2543 2535/2853/2535 +f 2537/2854/2536 2545/2863/2544 2552/2864/2545 2544/2855/2537 +f 2538/2856/2538 2546/2865/2546 2545/2866/2544 2537/2857/2536 +f 2539/2858/2539 2547/2867/2547 2546/2865/2546 2538/2856/2538 +f 2540/2859/2540 2548/2868/2548 2547/2867/2547 2539/2858/2539 +f 2541/2860/2541 2549/2869/2549 2548/2868/2548 2540/2859/2540 +f 2542/2861/2542 2550/2870/2550 2549/2869/2549 2541/2860/2541 +f 2543/2862/2543 2551/2871/2551 2550/2870/2550 2542/2861/2542 +f 2544/2855/2537 2552/2864/2545 2551/2871/2551 2543/2862/2543 +f 2545/2863/2544 2553/2872/2552 2560/2873/2553 2552/2864/2545 +f 2546/2865/2546 2554/2874/2554 2553/2875/2552 2545/2866/2544 +f 2547/2867/2547 2555/2876/2555 2554/2874/2554 2546/2865/2546 +f 2548/2868/2548 2556/2877/2556 2555/2876/2555 2547/2867/2547 +f 2549/2869/2549 2557/2878/2557 2556/2877/2556 2548/2868/2548 +f 2550/2870/2550 2558/2879/2558 2557/2878/2557 2549/2869/2549 +f 2551/2871/2551 2559/2880/2559 2558/2879/2558 2550/2870/2550 +f 2552/2864/2545 2560/2873/2553 2559/2880/2559 2551/2871/2551 +f 2553/2872/2552 2561/2881/2560 2568/2882/2561 2560/2873/2553 +f 2554/2874/2554 2562/2883/2562 2561/2884/2560 2553/2875/2552 +f 2555/2876/2555 2563/2885/2563 2562/2883/2562 2554/2874/2554 +f 2556/2877/2556 2564/2886/2564 2563/2885/2563 2555/2876/2555 +f 2557/2878/2557 2565/2887/2565 2564/2886/2564 2556/2877/2556 +f 2558/2879/2558 2566/2888/2566 2565/2887/2565 2557/2878/2557 +f 2559/2880/2559 2567/2889/2567 2566/2888/2566 2558/2879/2558 +f 2560/2873/2553 2568/2882/2561 2567/2889/2567 2559/2880/2559 +f 2561/2881/2560 2569/2890/2568 2576/2891/2569 2568/2882/2561 +f 2562/2883/2562 2570/2892/2570 2569/2893/2568 2561/2884/2560 +f 2563/2885/2563 2571/2894/2571 2570/2892/2570 2562/2883/2562 +f 2564/2886/2564 2572/2895/2572 2571/2894/2571 2563/2885/2563 +f 2565/2887/2565 2573/2896/2573 2572/2895/2572 2564/2886/2564 +f 2566/2888/2566 2574/2897/2574 2573/2896/2573 2565/2887/2565 +f 2567/2889/2567 2575/2898/2575 2574/2897/2574 2566/2888/2566 +f 2568/2882/2561 2576/2891/2569 2575/2898/2575 2567/2889/2567 +f 2569/2890/2568 2577/2899/2576 2584/2900/2577 2576/2891/2569 +f 2570/2892/2570 2578/2901/2578 2577/2902/2576 2569/2893/2568 +f 2571/2894/2571 2579/2903/2579 2578/2901/2578 2570/2892/2570 +f 2572/2895/2572 2580/2904/2580 2579/2903/2579 2571/2894/2571 +f 2573/2896/2573 2581/2905/2581 2580/2904/2580 2572/2895/2572 +f 2574/2897/2574 2582/2906/2582 2581/2905/2581 2573/2896/2573 +f 2575/2898/2575 2583/2907/2583 2582/2906/2582 2574/2897/2574 +f 2576/2891/2569 2584/2900/2577 2583/2907/2583 2575/2898/2575 +f 2577/2899/2576 2585/2908/2584 2592/2909/2585 2584/2900/2577 +f 2578/2901/2578 2586/2910/2586 2585/2911/2584 2577/2902/2576 +f 2579/2903/2579 2587/2912/2587 2586/2910/2586 2578/2901/2578 +f 2580/2904/2580 2588/2913/2588 2587/2912/2587 2579/2903/2579 +f 2581/2905/2581 2589/2914/2589 2588/2913/2588 2580/2904/2580 +f 2582/2906/2582 2590/2915/2590 2589/2914/2589 2581/2905/2581 +f 2583/2907/2583 2591/2916/2591 2590/2915/2590 2582/2906/2582 +f 2584/2900/2577 2592/2909/2585 2591/2916/2591 2583/2907/2583 +f 2585/2908/2584 2593/2917/2592 2600/2918/2593 2592/2909/2585 +f 2586/2910/2586 2594/2919/2594 2593/2920/2592 2585/2911/2584 +f 2587/2912/2587 2595/2921/2595 2594/2919/2594 2586/2910/2586 +f 2588/2913/2588 2596/2922/2596 2595/2921/2595 2587/2912/2587 +f 2589/2914/2589 2597/2923/2597 2596/2922/2596 2588/2913/2588 +f 2590/2915/2590 2598/2924/2598 2597/2923/2597 2589/2914/2589 +f 2591/2916/2591 2599/2925/2599 2598/2924/2598 2590/2915/2590 +f 2592/2909/2585 2600/2918/2593 2599/2925/2599 2591/2916/2591 +f 2593/2917/2592 2601/2926/2600 2608/2927/2601 2600/2918/2593 +f 2594/2919/2594 2602/2928/2602 2601/2929/2600 2593/2920/2592 +f 2595/2921/2595 2603/2930/2603 2602/2928/2602 2594/2919/2594 +f 2596/2922/2596 2604/2931/2604 2603/2930/2603 2595/2921/2595 +f 2597/2923/2597 2605/2932/2605 2604/2931/2604 2596/2922/2596 +f 2598/2924/2598 2606/2933/2606 2605/2932/2605 2597/2923/2597 +f 2599/2925/2599 2607/2934/2607 2606/2933/2606 2598/2924/2598 +f 2600/2918/2593 2608/2927/2601 2607/2934/2607 2599/2925/2599 +f 2601/2926/2600 2609/2935/2608 2616/2936/2609 2608/2927/2601 +f 2602/2928/2602 2610/2937/2610 2609/2938/2608 2601/2929/2600 +f 2603/2930/2603 2611/2939/2611 2610/2937/2610 2602/2928/2602 +f 2604/2931/2604 2612/2940/2612 2611/2939/2611 2603/2930/2603 +f 2605/2932/2605 2613/2941/2613 2612/2940/2612 2604/2931/2604 +f 2606/2933/2606 2614/2942/2614 2613/2941/2613 2605/2932/2605 +f 2607/2934/2607 2615/2943/2615 2614/2942/2614 2606/2933/2606 +f 2608/2927/2601 2616/2936/2609 2615/2943/2615 2607/2934/2607 +f 2609/2935/2608 2617/2944/2616 2624/2945/2617 2616/2936/2609 +f 2610/2937/2610 2618/2946/2618 2617/2947/2616 2609/2938/2608 +f 2611/2939/2611 2619/2948/2619 2618/2946/2618 2610/2937/2610 +f 2612/2940/2612 2620/2949/2620 2619/2948/2619 2611/2939/2611 +f 2613/2941/2613 2621/2950/2621 2620/2949/2620 2612/2940/2612 +f 2614/2942/2614 2622/2951/2622 2621/2950/2621 2613/2941/2613 +f 2615/2943/2615 2623/2952/2623 2622/2951/2622 2614/2942/2614 +f 2616/2936/2609 2624/2945/2617 2623/2952/2623 2615/2943/2615 +f 2617/2944/2616 2625/2953/2624 2632/2954/2625 2624/2945/2617 +f 2618/2946/2618 2626/2955/2626 2625/2956/2624 2617/2947/2616 +f 2619/2948/2619 2627/2957/2627 2626/2955/2626 2618/2946/2618 +f 2620/2949/2620 2628/2958/2628 2627/2957/2627 2619/2948/2619 +f 2621/2950/2621 2629/2959/2629 2628/2958/2628 2620/2949/2620 +f 2622/2951/2622 2630/2960/2630 2629/2959/2629 2621/2950/2621 +f 2623/2952/2623 2631/2961/2631 2630/2960/2630 2622/2951/2622 +f 2624/2945/2617 2632/2954/2625 2631/2961/2631 2623/2952/2623 +f 2633/2962/2632 2641/2963/2633 2648/2964/2634 2640/2965/2635 +f 2634/2966/2636 2642/2967/2637 2641/2968/2633 2633/2969/2632 +f 2635/2970/2638 2643/2971/2639 2642/2967/2637 2634/2966/2636 +f 2636/2972/2640 2644/2973/2641 2643/2971/2639 2635/2970/2638 +f 2637/2974/2642 2645/2975/2643 2644/2973/2641 2636/2972/2640 +f 2638/2976/2644 2646/2977/2645 2645/2975/2643 2637/2974/2642 +f 2639/2978/2646 2647/2979/2647 2646/2977/2645 2638/2976/2644 +f 2640/2965/2635 2648/2964/2634 2647/2979/2647 2639/2978/2646 +f 2641/2963/2633 2649/2980/2648 2656/2981/2649 2648/2964/2634 +f 2642/2967/2637 2650/2982/2650 2649/2983/2648 2641/2968/2633 +f 2643/2971/2639 2651/2984/2651 2650/2982/2650 2642/2967/2637 +f 2644/2973/2641 2652/2985/2652 2651/2984/2651 2643/2971/2639 +f 2645/2975/2643 2653/2986/2653 2652/2985/2652 2644/2973/2641 +f 2646/2977/2645 2654/2987/2654 2653/2986/2653 2645/2975/2643 +f 2647/2979/2647 2655/2988/2655 2654/2987/2654 2646/2977/2645 +f 2648/2964/2634 2656/2981/2649 2655/2988/2655 2647/2979/2647 +f 2649/2980/2648 2657/2989/2656 2664/2990/2657 2656/2981/2649 +f 2650/2982/2650 2658/2991/2658 2657/2992/2656 2649/2983/2648 +f 2651/2984/2651 2659/2993/2659 2658/2991/2658 2650/2982/2650 +f 2652/2985/2652 2660/2994/2660 2659/2993/2659 2651/2984/2651 +f 2653/2986/2653 2661/2995/2661 2660/2994/2660 2652/2985/2652 +f 2654/2987/2654 2662/2996/2662 2661/2995/2661 2653/2986/2653 +f 2655/2988/2655 2663/2997/2663 2662/2996/2662 2654/2987/2654 +f 2656/2981/2649 2664/2990/2657 2663/2997/2663 2655/2988/2655 +f 2657/2989/2656 2665/2998/2664 2672/2999/2665 2664/2990/2657 +f 2658/2991/2658 2666/3000/2666 2665/3001/2664 2657/2992/2656 +f 2659/2993/2659 2667/3002/2667 2666/3000/2666 2658/2991/2658 +f 2660/2994/2660 2668/3003/2668 2667/3002/2667 2659/2993/2659 +f 2661/2995/2661 2669/3004/2669 2668/3003/2668 2660/2994/2660 +f 2662/2996/2662 2670/3005/2670 2669/3004/2669 2661/2995/2661 +f 2663/2997/2663 2671/3006/2671 2670/3005/2670 2662/2996/2662 +f 2664/2990/2657 2672/2999/2665 2671/3006/2671 2663/2997/2663 +f 2665/2998/2664 2673/3007/2672 2680/3008/2673 2672/2999/2665 +f 2666/3000/2666 2674/3009/2674 2673/3010/2672 2665/3001/2664 +f 2667/3002/2667 2675/3011/2675 2674/3009/2674 2666/3000/2666 +f 2668/3003/2668 2676/3012/2676 2675/3011/2675 2667/3002/2667 +f 2669/3004/2669 2677/3013/2677 2676/3012/2676 2668/3003/2668 +f 2670/3005/2670 2678/3014/2678 2677/3013/2677 2669/3004/2669 +f 2671/3006/2671 2679/3015/2679 2678/3014/2678 2670/3005/2670 +f 2672/2999/2665 2680/3008/2673 2679/3015/2679 2671/3006/2671 +f 2673/3007/2672 2681/3016/2680 2688/3017/2681 2680/3008/2673 +f 2674/3009/2674 2682/3018/2682 2681/3019/2680 2673/3010/2672 +f 2675/3011/2675 2683/3020/2683 2682/3018/2682 2674/3009/2674 +f 2676/3012/2676 2684/3021/2684 2683/3020/2683 2675/3011/2675 +f 2677/3013/2677 2685/3022/2685 2684/3021/2684 2676/3012/2676 +f 2678/3014/2678 2686/3023/2686 2685/3022/2685 2677/3013/2677 +f 2679/3015/2679 2687/3024/2687 2686/3023/2686 2678/3014/2678 +f 2680/3008/2673 2688/3017/2681 2687/3024/2687 2679/3015/2679 +f 2681/3016/2680 2689/3025/2688 2696/3026/2689 2688/3017/2681 +f 2682/3018/2682 2690/3027/2690 2689/3028/2688 2681/3019/2680 +f 2683/3020/2683 2691/3029/2691 2690/3027/2690 2682/3018/2682 +f 2684/3021/2684 2692/3030/2692 2691/3029/2691 2683/3020/2683 +f 2685/3022/2685 2693/3031/2693 2692/3030/2692 2684/3021/2684 +f 2686/3023/2686 2694/3032/2694 2693/3031/2693 2685/3022/2685 +f 2687/3024/2687 2695/3033/2695 2694/3032/2694 2686/3023/2686 +f 2688/3017/2681 2696/3026/2689 2695/3033/2695 2687/3024/2687 +f 2689/3025/2688 2697/3034/2696 2704/3035/2697 2696/3026/2689 +f 2690/3027/2690 2698/3036/2698 2697/3037/2696 2689/3028/2688 +f 2691/3029/2691 2699/3038/2699 2698/3036/2698 2690/3027/2690 +f 2692/3030/2692 2700/3039/2700 2699/3038/2699 2691/3029/2691 +f 2693/3031/2693 2701/3040/2701 2700/3039/2700 2692/3030/2692 +f 2694/3032/2694 2702/3041/2702 2701/3040/2701 2693/3031/2693 +f 2695/3033/2695 2703/3042/2703 2702/3041/2702 2694/3032/2694 +f 2696/3026/2689 2704/3035/2697 2703/3042/2703 2695/3033/2695 +f 2697/3034/2696 2705/3043/2704 2712/3044/2705 2704/3035/2697 +f 2698/3036/2698 2706/3045/2706 2705/3046/2704 2697/3037/2696 +f 2699/3038/2699 2707/3047/2707 2706/3045/2706 2698/3036/2698 +f 2700/3039/2700 2708/3048/2708 2707/3047/2707 2699/3038/2699 +f 2701/3040/2701 2709/3049/2709 2708/3048/2708 2700/3039/2700 +f 2702/3041/2702 2710/3050/2710 2709/3049/2709 2701/3040/2701 +f 2703/3042/2703 2711/3051/2711 2710/3050/2710 2702/3041/2702 +f 2704/3035/2697 2712/3044/2705 2711/3051/2711 2703/3042/2703 +f 2705/3043/2704 2713/3052/2712 2720/3053/2713 2712/3044/2705 +f 2706/3045/2706 2714/3054/2714 2713/3055/2712 2705/3046/2704 +f 2707/3047/2707 2715/3056/2715 2714/3054/2714 2706/3045/2706 +f 2708/3048/2708 2716/3057/2716 2715/3056/2715 2707/3047/2707 +f 2709/3049/2709 2717/3058/2717 2716/3057/2716 2708/3048/2708 +f 2710/3050/2710 2718/3059/2718 2717/3058/2717 2709/3049/2709 +f 2711/3051/2711 2719/3060/2719 2718/3059/2718 2710/3050/2710 +f 2712/3044/2705 2720/3053/2713 2719/3060/2719 2711/3051/2711 +f 2713/3052/2712 2721/3061/2720 2728/3062/2721 2720/3053/2713 +f 2714/3054/2714 2722/3063/2722 2721/3064/2720 2713/3055/2712 +f 2715/3056/2715 2723/3065/2723 2722/3063/2722 2714/3054/2714 +f 2716/3057/2716 2724/3066/2724 2723/3065/2723 2715/3056/2715 +f 2717/3058/2717 2725/3067/2725 2724/3066/2724 2716/3057/2716 +f 2718/3059/2718 2726/3068/2726 2725/3067/2725 2717/3058/2717 +f 2719/3060/2719 2727/3069/2727 2726/3068/2726 2718/3059/2718 +f 2720/3053/2713 2728/3062/2721 2727/3069/2727 2719/3060/2719 +f 2721/3061/2720 2729/3070/2728 2736/3071/2729 2728/3062/2721 +f 2722/3063/2722 2730/3072/2730 2729/3073/2728 2721/3064/2720 +f 2723/3065/2723 2731/3074/2731 2730/3072/2730 2722/3063/2722 +f 2724/3066/2724 2732/3075/2732 2731/3074/2731 2723/3065/2723 +f 2725/3067/2725 2733/3076/2733 2732/3075/2732 2724/3066/2724 +f 2726/3068/2726 2734/3077/2734 2733/3076/2733 2725/3067/2725 +f 2727/3069/2727 2735/3078/2735 2734/3077/2734 2726/3068/2726 +f 2728/3062/2721 2736/3071/2729 2735/3078/2735 2727/3069/2727 +f 2729/3070/2728 2737/3079/2736 2744/3080/2737 2736/3071/2729 +f 2730/3072/2730 2738/3081/2738 2737/3082/2736 2729/3073/2728 +f 2731/3074/2731 2739/3083/2739 2738/3081/2738 2730/3072/2730 +f 2732/3075/2732 2740/3084/2740 2739/3083/2739 2731/3074/2731 +f 2733/3076/2733 2741/3085/2741 2740/3084/2740 2732/3075/2732 +f 2734/3077/2734 2742/3086/2742 2741/3085/2741 2733/3076/2733 +f 2735/3078/2735 2743/3087/2743 2742/3086/2742 2734/3077/2734 +f 2736/3071/2729 2744/3080/2737 2743/3087/2743 2735/3078/2735 +f 2737/3079/2736 2745/3088/2744 2752/3089/2745 2744/3080/2737 +f 2738/3081/2738 2746/3090/2746 2745/3091/2744 2737/3082/2736 +f 2739/3083/2739 2747/3092/2747 2746/3090/2746 2738/3081/2738 +f 2740/3084/2740 2748/3093/2748 2747/3092/2747 2739/3083/2739 +f 2741/3085/2741 2749/3094/2749 2748/3093/2748 2740/3084/2740 +f 2742/3086/2742 2750/3095/2750 2749/3094/2749 2741/3085/2741 +f 2743/3087/2743 2751/3096/2751 2750/3095/2750 2742/3086/2742 +f 2744/3080/2737 2752/3089/2745 2751/3096/2751 2743/3087/2743 +f 2745/3088/2744 2753/3097/2752 2760/3098/2753 2752/3089/2745 +f 2746/3090/2746 2754/3099/2754 2753/3100/2752 2745/3091/2744 +f 2747/3092/2747 2755/3101/2755 2754/3099/2754 2746/3090/2746 +f 2748/3093/2748 2756/3102/2756 2755/3101/2755 2747/3092/2747 +f 2749/3094/2749 2757/3103/2757 2756/3102/2756 2748/3093/2748 +f 2750/3095/2750 2758/3104/2758 2757/3103/2757 2749/3094/2749 +f 2751/3096/2751 2759/3105/2759 2758/3104/2758 2750/3095/2750 +f 2752/3089/2745 2760/3098/2753 2759/3105/2759 2751/3096/2751 +f 2761/3106/2760 2769/3107/2761 2776/3108/2762 2768/3109/2763 +f 2762/3110/2764 2770/3111/2765 2769/3112/2761 2761/3113/2760 +f 2763/3114/2766 2771/3115/2767 2770/3111/2765 2762/3110/2764 +f 2764/3116/2768 2772/3117/2769 2771/3115/2767 2763/3114/2766 +f 2765/3118/2770 2773/3119/2771 2772/3117/2769 2764/3116/2768 +f 2766/3120/2772 2774/3121/2773 2773/3119/2771 2765/3118/2770 +f 2767/3122/2774 2775/3123/2775 2774/3121/2773 2766/3120/2772 +f 2768/3109/2763 2776/3108/2762 2775/3123/2775 2767/3122/2774 +f 2769/3107/2761 2777/3124/2776 2784/3125/2777 2776/3108/2762 +f 2770/3111/2765 2778/3126/2778 2777/3127/2776 2769/3112/2761 +f 2771/3115/2767 2779/3128/2779 2778/3126/2778 2770/3111/2765 +f 2772/3117/2769 2780/3129/2780 2779/3128/2779 2771/3115/2767 +f 2773/3119/2771 2781/3130/2781 2780/3129/2780 2772/3117/2769 +f 2774/3121/2773 2782/3131/2782 2781/3130/2781 2773/3119/2771 +f 2775/3123/2775 2783/3132/2783 2782/3131/2782 2774/3121/2773 +f 2776/3108/2762 2784/3125/2777 2783/3132/2783 2775/3123/2775 +f 2777/3124/2776 2785/3133/2784 2792/3134/2785 2784/3125/2777 +f 2778/3126/2778 2786/3135/2786 2785/3136/2784 2777/3127/2776 +f 2779/3128/2779 2787/3137/2787 2786/3135/2786 2778/3126/2778 +f 2780/3129/2780 2788/3138/2788 2787/3137/2787 2779/3128/2779 +f 2781/3130/2781 2789/3139/2789 2788/3138/2788 2780/3129/2780 +f 2782/3131/2782 2790/3140/2790 2789/3139/2789 2781/3130/2781 +f 2783/3132/2783 2791/3141/2791 2790/3140/2790 2782/3131/2782 +f 2784/3125/2777 2792/3134/2785 2791/3141/2791 2783/3132/2783 +f 2785/3133/2784 2793/3142/2792 2800/3143/2793 2792/3134/2785 +f 2786/3135/2786 2794/3144/2794 2793/3145/2792 2785/3136/2784 +f 2787/3137/2787 2795/3146/2795 2794/3144/2794 2786/3135/2786 +f 2788/3138/2788 2796/3147/2796 2795/3146/2795 2787/3137/2787 +f 2789/3139/2789 2797/3148/2797 2796/3147/2796 2788/3138/2788 +f 2790/3140/2790 2798/3149/2798 2797/3148/2797 2789/3139/2789 +f 2791/3141/2791 2799/3150/2799 2798/3149/2798 2790/3140/2790 +f 2792/3134/2785 2800/3143/2793 2799/3150/2799 2791/3141/2791 +f 2793/3142/2792 2801/3151/2800 2808/3152/2801 2800/3143/2793 +f 2794/3144/2794 2802/3153/2802 2801/3154/2800 2793/3145/2792 +f 2795/3146/2795 2803/3155/2803 2802/3153/2802 2794/3144/2794 +f 2796/3147/2796 2804/3156/2804 2803/3155/2803 2795/3146/2795 +f 2797/3148/2797 2805/3157/2805 2804/3156/2804 2796/3147/2796 +f 2798/3149/2798 2806/3158/2806 2805/3157/2805 2797/3148/2797 +f 2799/3150/2799 2807/3159/2807 2806/3158/2806 2798/3149/2798 +f 2800/3143/2793 2808/3152/2801 2807/3159/2807 2799/3150/2799 +f 2801/3151/2800 2809/3160/2808 2816/3161/2809 2808/3152/2801 +f 2802/3153/2802 2810/3162/2810 2809/3163/2808 2801/3154/2800 +f 2803/3155/2803 2811/3164/2811 2810/3162/2810 2802/3153/2802 +f 2804/3156/2804 2812/3165/2812 2811/3164/2811 2803/3155/2803 +f 2805/3157/2805 2813/3166/2813 2812/3165/2812 2804/3156/2804 +f 2806/3158/2806 2814/3167/2814 2813/3166/2813 2805/3157/2805 +f 2807/3159/2807 2815/3168/2815 2814/3167/2814 2806/3158/2806 +f 2808/3152/2801 2816/3161/2809 2815/3168/2815 2807/3159/2807 +f 2809/3160/2808 2817/3169/2816 2824/3170/2817 2816/3161/2809 +f 2810/3162/2810 2818/3171/2818 2817/3172/2816 2809/3163/2808 +f 2811/3164/2811 2819/3173/2819 2818/3171/2818 2810/3162/2810 +f 2812/3165/2812 2820/3174/2820 2819/3173/2819 2811/3164/2811 +f 2813/3166/2813 2821/3175/2821 2820/3174/2820 2812/3165/2812 +f 2814/3167/2814 2822/3176/2822 2821/3175/2821 2813/3166/2813 +f 2815/3168/2815 2823/3177/2823 2822/3176/2822 2814/3167/2814 +f 2816/3161/2809 2824/3170/2817 2823/3177/2823 2815/3168/2815 +f 2817/3169/2816 2825/3178/2824 2832/3179/2825 2824/3170/2817 +f 2818/3171/2818 2826/3180/2826 2825/3181/2824 2817/3172/2816 +f 2819/3173/2819 2827/3182/2827 2826/3180/2826 2818/3171/2818 +f 2820/3174/2820 2828/3183/2828 2827/3182/2827 2819/3173/2819 +f 2821/3175/2821 2829/3184/2829 2828/3183/2828 2820/3174/2820 +f 2822/3176/2822 2830/3185/2830 2829/3184/2829 2821/3175/2821 +f 2823/3177/2823 2831/3186/2831 2830/3185/2830 2822/3176/2822 +f 2824/3170/2817 2832/3179/2825 2831/3186/2831 2823/3177/2823 +f 2825/3178/2824 2833/3187/2832 2840/3188/2833 2832/3179/2825 +f 2826/3180/2826 2834/3189/2834 2833/3190/2832 2825/3181/2824 +f 2827/3182/2827 2835/3191/2835 2834/3189/2834 2826/3180/2826 +f 2828/3183/2828 2836/3192/2836 2835/3191/2835 2827/3182/2827 +f 2829/3184/2829 2837/3193/2837 2836/3192/2836 2828/3183/2828 +f 2830/3185/2830 2838/3194/2838 2837/3193/2837 2829/3184/2829 +f 2831/3186/2831 2839/3195/2839 2838/3194/2838 2830/3185/2830 +f 2832/3179/2825 2840/3188/2833 2839/3195/2839 2831/3186/2831 +f 2841/3196/2840 2849/3197/2841 2856/3198/2842 2848/3199/2843 +f 2842/3200/2844 2850/3201/2845 2849/3202/2841 2841/3203/2840 +f 2843/3204/2846 2851/3205/2847 2850/3201/2845 2842/3200/2844 +f 2844/3206/2848 2852/3207/2849 2851/3205/2847 2843/3204/2846 +f 2845/3208/2850 2853/3209/2851 2852/3207/2849 2844/3206/2848 +f 2846/3210/2852 2854/3211/2853 2853/3209/2851 2845/3208/2850 +f 2847/3212/2854 2855/3213/2855 2854/3211/2853 2846/3210/2852 +f 2848/3199/2843 2856/3198/2842 2855/3213/2855 2847/3212/2854 +f 2849/3197/2841 2857/3214/2856 2864/3215/2857 2856/3198/2842 +f 2850/3201/2845 2858/3216/2858 2857/3217/2856 2849/3202/2841 +f 2851/3205/2847 2859/3218/2859 2858/3216/2858 2850/3201/2845 +f 2852/3207/2849 2860/3219/2860 2859/3218/2859 2851/3205/2847 +f 2853/3209/2851 2861/3220/2861 2860/3219/2860 2852/3207/2849 +f 2854/3211/2853 2862/3221/2862 2861/3220/2861 2853/3209/2851 +f 2855/3213/2855 2863/3222/2863 2862/3221/2862 2854/3211/2853 +f 2856/3198/2842 2864/3215/2857 2863/3222/2863 2855/3213/2855 +f 2857/3214/2856 2865/3223/2864 2872/3224/2865 2864/3215/2857 +f 2858/3216/2858 2866/3225/2866 2865/3226/2864 2857/3217/2856 +f 2859/3218/2859 2867/3227/2867 2866/3225/2866 2858/3216/2858 +f 2860/3219/2860 2868/3228/2868 2867/3227/2867 2859/3218/2859 +f 2861/3220/2861 2869/3229/2869 2868/3228/2868 2860/3219/2860 +f 2862/3221/2862 2870/3230/2870 2869/3229/2869 2861/3220/2861 +f 2863/3222/2863 2871/3231/2871 2870/3230/2870 2862/3221/2862 +f 2864/3215/2857 2872/3224/2865 2871/3231/2871 2863/3222/2863 +f 2865/3223/2864 2873/3232/2872 2880/3233/2873 2872/3224/2865 +f 2866/3225/2866 2874/3234/2874 2873/3235/2872 2865/3226/2864 +f 2867/3227/2867 2875/3236/2875 2874/3234/2874 2866/3225/2866 +f 2868/3228/2868 2876/3237/2876 2875/3236/2875 2867/3227/2867 +f 2869/3229/2869 2877/3238/2877 2876/3237/2876 2868/3228/2868 +f 2870/3230/2870 2878/3239/2878 2877/3238/2877 2869/3229/2869 +f 2871/3231/2871 2879/3240/2879 2878/3239/2878 2870/3230/2870 +f 2872/3224/2865 2880/3233/2873 2879/3240/2879 2871/3231/2871 +f 2873/3232/2872 2881/3241/2880 2888/3242/2881 2880/3233/2873 +f 2874/3234/2874 2882/3243/2882 2881/3244/2880 2873/3235/2872 +f 2875/3236/2875 2883/3245/2883 2882/3243/2882 2874/3234/2874 +f 2876/3237/2876 2884/3246/2884 2883/3245/2883 2875/3236/2875 +f 2877/3238/2877 2885/3247/2885 2884/3246/2884 2876/3237/2876 +f 2878/3239/2878 2886/3248/2886 2885/3247/2885 2877/3238/2877 +f 2879/3240/2879 2887/3249/2887 2886/3248/2886 2878/3239/2878 +f 2880/3233/2873 2888/3242/2881 2887/3249/2887 2879/3240/2879 +f 2881/3241/2880 2889/3250/2888 2896/3251/2889 2888/3242/2881 +f 2882/3243/2882 2890/3252/2890 2889/3253/2888 2881/3244/2880 +f 2883/3245/2883 2891/3254/2891 2890/3252/2890 2882/3243/2882 +f 2884/3246/2884 2892/3255/2892 2891/3254/2891 2883/3245/2883 +f 2885/3247/2885 2893/3256/2893 2892/3255/2892 2884/3246/2884 +f 2886/3248/2886 2894/3257/2894 2893/3256/2893 2885/3247/2885 +f 2887/3249/2887 2895/3258/2895 2894/3257/2894 2886/3248/2886 +f 2888/3242/2881 2896/3251/2889 2895/3258/2895 2887/3249/2887 +f 2897/3259/2896 2905/3260/2897 2912/3261/2898 2904/3262/2899 +f 2898/3263/2900 2906/3264/2901 2905/3265/2897 2897/3266/2896 +f 2899/3267/2902 2907/3268/2903 2906/3264/2901 2898/3263/2900 +f 2900/3269/2904 2908/3270/2905 2907/3268/2903 2899/3267/2902 +f 2901/3271/2906 2909/3272/2907 2908/3270/2905 2900/3269/2904 +f 2902/3273/2908 2910/3274/2909 2909/3272/2907 2901/3271/2906 +f 2903/3275/2910 2911/3276/2911 2910/3274/2909 2902/3273/2908 +f 2904/3262/2899 2912/3261/2898 2911/3276/2911 2903/3275/2910 +f 2905/3260/2897 2913/3277/2912 2920/3278/2913 2912/3261/2898 +f 2906/3264/2901 2914/3279/2914 2913/3280/2912 2905/3265/2897 +f 2907/3268/2903 2915/3281/2915 2914/3279/2914 2906/3264/2901 +f 2908/3270/2905 2916/3282/2916 2915/3281/2915 2907/3268/2903 +f 2909/3272/2907 2917/3283/2917 2916/3282/2916 2908/3270/2905 +f 2910/3274/2909 2918/3284/2918 2917/3283/2917 2909/3272/2907 +f 2911/3276/2911 2919/3285/2919 2918/3284/2918 2910/3274/2909 +f 2912/3261/2898 2920/3278/2913 2919/3285/2919 2911/3276/2911 +f 2913/3277/2912 2921/3286/2920 2928/3287/2921 2920/3278/2913 +f 2914/3279/2914 2922/3288/2922 2921/3289/2920 2913/3280/2912 +f 2915/3281/2915 2923/3290/2923 2922/3288/2922 2914/3279/2914 +f 2916/3282/2916 2924/3291/2924 2923/3290/2923 2915/3281/2915 +f 2917/3283/2917 2925/3292/2925 2924/3291/2924 2916/3282/2916 +f 2918/3284/2918 2926/3293/2926 2925/3292/2925 2917/3283/2917 +f 2919/3285/2919 2927/3294/2927 2926/3293/2926 2918/3284/2918 +f 2920/3278/2913 2928/3287/2921 2927/3294/2927 2919/3285/2919 +f 2921/3286/2920 2929/3295/2928 2936/3296/2929 2928/3287/2921 +f 2922/3288/2922 2930/3297/2930 2929/3298/2928 2921/3289/2920 +f 2923/3290/2923 2931/3299/2931 2930/3297/2930 2922/3288/2922 +f 2924/3291/2924 2932/3300/2932 2931/3299/2931 2923/3290/2923 +f 2925/3292/2925 2933/3301/2933 2932/3300/2932 2924/3291/2924 +f 2926/3293/2926 2934/3302/2934 2933/3301/2933 2925/3292/2925 +f 2927/3294/2927 2935/3303/2935 2934/3302/2934 2926/3293/2926 +f 2928/3287/2921 2936/3296/2929 2935/3303/2935 2927/3294/2927 +f 2929/3295/2928 2937/3304/2936 2944/3305/2937 2936/3296/2929 +f 2930/3297/2930 2938/3306/2938 2937/3307/2936 2929/3298/2928 +f 2931/3299/2931 2939/3308/2939 2938/3306/2938 2930/3297/2930 +f 2932/3300/2932 2940/3309/2940 2939/3308/2939 2931/3299/2931 +f 2933/3301/2933 2941/3310/2941 2940/3309/2940 2932/3300/2932 +f 2934/3302/2934 2942/3311/2942 2941/3310/2941 2933/3301/2933 +f 2935/3303/2935 2943/3312/2943 2942/3311/2942 2934/3302/2934 +f 2936/3296/2929 2944/3305/2937 2943/3312/2943 2935/3303/2935 +f 2937/3304/2936 2945/3313/2944 2952/3314/2945 2944/3305/2937 +f 2938/3306/2938 2946/3315/2946 2945/3316/2944 2937/3307/2936 +f 2939/3308/2939 2947/3317/2947 2946/3315/2946 2938/3306/2938 +f 2940/3309/2940 2948/3318/2948 2947/3317/2947 2939/3308/2939 +f 2941/3310/2941 2949/3319/2949 2948/3318/2948 2940/3309/2940 +f 2942/3311/2942 2950/3320/2950 2949/3319/2949 2941/3310/2941 +f 2943/3312/2943 2951/3321/2951 2950/3320/2950 2942/3311/2942 +f 2944/3305/2937 2952/3314/2945 2951/3321/2951 2943/3312/2943 +f 2945/3313/2944 2953/3322/2952 2960/3323/2953 2952/3314/2945 +f 2946/3315/2946 2954/3324/2954 2953/3325/2952 2945/3316/2944 +f 2947/3317/2947 2955/3326/2955 2954/3324/2954 2946/3315/2946 +f 2948/3318/2948 2956/3327/2956 2955/3326/2955 2947/3317/2947 +f 2949/3319/2949 2957/3328/2957 2956/3327/2956 2948/3318/2948 +f 2950/3320/2950 2958/3329/2958 2957/3328/2957 2949/3319/2949 +f 2951/3321/2951 2959/3330/2959 2958/3329/2958 2950/3320/2950 +f 2952/3314/2945 2960/3323/2953 2959/3330/2959 2951/3321/2951 +f 2953/3322/2952 2961/3331/2960 2968/3332/2961 2960/3323/2953 +f 2954/3324/2954 2962/3333/2962 2961/3334/2960 2953/3325/2952 +f 2955/3326/2955 2963/3335/2963 2962/3333/2962 2954/3324/2954 +f 2956/3327/2956 2964/3336/2964 2963/3335/2963 2955/3326/2955 +f 2957/3328/2957 2965/3337/2965 2964/3336/2964 2956/3327/2956 +f 2958/3329/2958 2966/3338/2966 2965/3337/2965 2957/3328/2957 +f 2959/3330/2959 2967/3339/2967 2966/3338/2966 2958/3329/2958 +f 2960/3323/2953 2968/3332/2961 2967/3339/2967 2959/3330/2959 +f 2961/3331/2960 2969/3340/2968 2976/3341/2969 2968/3332/2961 +f 2962/3333/2962 2970/3342/2970 2969/3343/2968 2961/3334/2960 +f 2963/3335/2963 2971/3344/2971 2970/3342/2970 2962/3333/2962 +f 2964/3336/2964 2972/3345/2972 2971/3344/2971 2963/3335/2963 +f 2965/3337/2965 2973/3346/2973 2972/3345/2972 2964/3336/2964 +f 2966/3338/2966 2974/3347/2974 2973/3346/2973 2965/3337/2965 +f 2967/3339/2967 2975/3348/2975 2974/3347/2974 2966/3338/2966 +f 2968/3332/2961 2976/3341/2969 2975/3348/2975 2967/3339/2967 +f 2969/3340/2968 2977/3349/2976 2984/3350/2977 2976/3341/2969 +f 2970/3342/2970 2978/3351/2978 2977/3352/2976 2969/3343/2968 +f 2971/3344/2971 2979/3353/2979 2978/3351/2978 2970/3342/2970 +f 2972/3345/2972 2980/3354/2980 2979/3353/2979 2971/3344/2971 +f 2973/3346/2973 2981/3355/2981 2980/3354/2980 2972/3345/2972 +f 2974/3347/2974 2982/3356/2982 2981/3355/2981 2973/3346/2973 +f 2975/3348/2975 2983/3357/2983 2982/3356/2982 2974/3347/2974 +f 2976/3341/2969 2984/3350/2977 2983/3357/2983 2975/3348/2975 +f 2977/3349/2976 2985/3358/2984 2992/3359/2985 2984/3350/2977 +f 2978/3351/2978 2986/3360/2986 2985/3361/2984 2977/3352/2976 +f 2979/3353/2979 2987/3362/2987 2986/3360/2986 2978/3351/2978 +f 2980/3354/2980 2988/3363/2988 2987/3362/2987 2979/3353/2979 +f 2981/3355/2981 2989/3364/2989 2988/3363/2988 2980/3354/2980 +f 2982/3356/2982 2990/3365/2990 2989/3364/2989 2981/3355/2981 +f 2983/3357/2983 2991/3366/2991 2990/3365/2990 2982/3356/2982 +f 2984/3350/2977 2992/3359/2985 2991/3366/2991 2983/3357/2983 +f 2985/3358/2984 2993/3367/2992 3000/3368/2993 2992/3359/2985 +f 2986/3360/2986 2994/3369/2994 2993/3370/2992 2985/3361/2984 +f 2987/3362/2987 2995/3371/2995 2994/3369/2994 2986/3360/2986 +f 2988/3363/2988 2996/3372/2996 2995/3371/2995 2987/3362/2987 +f 2989/3364/2989 2997/3373/2997 2996/3372/2996 2988/3363/2988 +f 2990/3365/2990 2998/3374/2998 2997/3373/2997 2989/3364/2989 +f 2991/3366/2991 2999/3375/2999 2998/3374/2998 2990/3365/2990 +f 2992/3359/2985 3000/3368/2993 2999/3375/2999 2991/3366/2991 +f 3001/3376/3000 3009/3377/3001 3016/3378/3002 3008/3379/3003 +f 3002/3380/3004 3010/3381/3005 3009/3382/3001 3001/3383/3000 +f 3003/3384/3006 3011/3385/3007 3010/3381/3005 3002/3380/3004 +f 3004/3386/3008 3012/3387/3009 3011/3385/3007 3003/3384/3006 +f 3005/3388/3010 3013/3389/3011 3012/3387/3009 3004/3386/3008 +f 3006/3390/3012 3014/3391/3013 3013/3389/3011 3005/3388/3010 +f 3007/3392/3014 3015/3393/3015 3014/3391/3013 3006/3390/3012 +f 3008/3379/3003 3016/3378/3002 3015/3393/3015 3007/3392/3014 +f 3009/3377/3001 3017/3394/3016 3024/3395/3017 3016/3378/3002 +f 3010/3381/3005 3018/3396/3018 3017/3397/3016 3009/3382/3001 +f 3011/3385/3007 3019/3398/3019 3018/3396/3018 3010/3381/3005 +f 3012/3387/3009 3020/3399/3020 3019/3398/3019 3011/3385/3007 +f 3013/3389/3011 3021/3400/3021 3020/3399/3020 3012/3387/3009 +f 3014/3391/3013 3022/3401/3022 3021/3400/3021 3013/3389/3011 +f 3015/3393/3015 3023/3402/3023 3022/3401/3022 3014/3391/3013 +f 3016/3378/3002 3024/3395/3017 3023/3402/3023 3015/3393/3015 +f 3017/3394/3016 3025/3403/3024 3032/3404/3025 3024/3395/3017 +f 3018/3396/3018 3026/3405/3026 3025/3406/3024 3017/3397/3016 +f 3019/3398/3019 3027/3407/3027 3026/3405/3026 3018/3396/3018 +f 3020/3399/3020 3028/3408/3028 3027/3407/3027 3019/3398/3019 +f 3021/3400/3021 3029/3409/3029 3028/3408/3028 3020/3399/3020 +f 3022/3401/3022 3030/3410/3030 3029/3409/3029 3021/3400/3021 +f 3023/3402/3023 3031/3411/3031 3030/3410/3030 3022/3401/3022 +f 3024/3395/3017 3032/3404/3025 3031/3411/3031 3023/3402/3023 +f 3025/3403/3024 3033/3412/3032 3040/3413/3033 3032/3404/3025 +f 3026/3405/3026 3034/3414/3034 3033/3415/3032 3025/3406/3024 +f 3027/3407/3027 3035/3416/3035 3034/3414/3034 3026/3405/3026 +f 3028/3408/3028 3036/3417/3036 3035/3416/3035 3027/3407/3027 +f 3029/3409/3029 3037/3418/3037 3036/3417/3036 3028/3408/3028 +f 3030/3410/3030 3038/3419/3038 3037/3418/3037 3029/3409/3029 +f 3031/3411/3031 3039/3420/3039 3038/3419/3038 3030/3410/3030 +f 3032/3404/3025 3040/3413/3033 3039/3420/3039 3031/3411/3031 +f 3033/3412/3032 3041/3421/3040 3048/3422/3041 3040/3413/3033 +f 3034/3414/3034 3042/3423/3042 3041/3424/3040 3033/3415/3032 +f 3035/3416/3035 3043/3425/3043 3042/3423/3042 3034/3414/3034 +f 3036/3417/3036 3044/3426/3044 3043/3425/3043 3035/3416/3035 +f 3037/3418/3037 3045/3427/3045 3044/3426/3044 3036/3417/3036 +f 3038/3419/3038 3046/3428/3046 3045/3427/3045 3037/3418/3037 +f 3039/3420/3039 3047/3429/3047 3046/3428/3046 3038/3419/3038 +f 3040/3413/3033 3048/3422/3041 3047/3429/3047 3039/3420/3039 +f 3041/3421/3040 3049/3430/3048 3056/3431/3049 3048/3422/3041 +f 3042/3423/3042 3050/3432/3050 3049/3433/3048 3041/3424/3040 +f 3043/3425/3043 3051/3434/3051 3050/3432/3050 3042/3423/3042 +f 3044/3426/3044 3052/3435/3052 3051/3434/3051 3043/3425/3043 +f 3045/3427/3045 3053/3436/3053 3052/3435/3052 3044/3426/3044 +f 3046/3428/3046 3054/3437/3054 3053/3436/3053 3045/3427/3045 +f 3047/3429/3047 3055/3438/3055 3054/3437/3054 3046/3428/3046 +f 3048/3422/3041 3056/3431/3049 3055/3438/3055 3047/3429/3047 +f 3057/3439/3056 3065/3440/3056 3072/3441/3057 3064/3442/3057 +f 3058/3443/3058 3066/3444/3058 3065/3445/3056 3057/3446/3056 +f 3059/3447/3059 3067/3448/3059 3066/3444/3058 3058/3443/3058 +f 3060/3449/3060 3068/3450/3060 3067/3448/3059 3059/3447/3059 +f 3061/3451/3061 3069/3452/3061 3068/3450/3060 3060/3449/3060 +f 3062/3453/3062 3070/3454/3062 3069/3452/3061 3061/3451/3061 +f 3063/3455/3063 3071/3456/3063 3070/3454/3062 3062/3453/3062 +f 3064/3442/3057 3072/3441/3057 3071/3456/3063 3063/3455/3063 +f 3065/3440/3056 3073/3457/3064 3080/3458/3065 3072/3441/3057 +f 3066/3444/3058 3074/3459/3058 3073/3460/3064 3065/3445/3056 +f 3067/3448/3059 3075/3461/3066 3074/3459/3058 3066/3444/3058 +f 3068/3450/3060 3076/3462/3067 3075/3461/3066 3067/3448/3059 +f 3069/3452/3061 3077/3463/3068 3076/3462/3067 3068/3450/3060 +f 3070/3454/3062 3078/3464/3069 3077/3463/3068 3069/3452/3061 +f 3071/3456/3063 3079/3465/3070 3078/3464/3069 3070/3454/3062 +f 3072/3441/3057 3080/3458/3065 3079/3465/3070 3071/3456/3063 +f 3073/3457/3064 3081/3466/3071 3088/3467/3072 3080/3458/3065 +f 3074/3459/3058 3082/3468/3073 3081/3469/3071 3073/3460/3064 +f 3075/3461/3066 3083/3470/3066 3082/3468/3073 3074/3459/3058 +f 3076/3462/3067 3084/3471/3067 3083/3470/3066 3075/3461/3066 +f 3077/3463/3068 3085/3472/3068 3084/3471/3067 3076/3462/3067 +f 3078/3464/3069 3086/3473/3074 3085/3472/3068 3077/3463/3068 +f 3079/3465/3070 3087/3474/3070 3086/3473/3074 3078/3464/3069 +f 3080/3458/3065 3088/3467/3072 3087/3474/3070 3079/3465/3070 +f 3089/3475/3075 3097/3476/3076 3104/3477/3077 3096/3478/3078 +f 3090/3479/3079 3098/3480/3080 3097/3481/3076 3089/3482/3075 +f 3091/3483/3081 3099/3484/3082 3098/3480/3080 3090/3479/3079 +f 3092/3485/3083 3100/3486/3084 3099/3484/3082 3091/3483/3081 +f 3093/3487/3085 3101/3488/3086 3100/3486/3084 3092/3485/3083 +f 3094/3489/3087 3102/3490/3088 3101/3488/3086 3093/3487/3085 +f 3095/3491/3089 3103/3492/3090 3102/3490/3088 3094/3489/3087 +f 3096/3478/3078 3104/3477/3077 3103/3492/3090 3095/3491/3089 +f 3097/3476/3076 3105/3493/3091 3112/3494/3092 3104/3477/3077 +f 3098/3480/3080 3106/3495/3093 3105/3496/3091 3097/3481/3076 +f 3099/3484/3082 3107/3497/3094 3106/3495/3093 3098/3480/3080 +f 3100/3486/3084 3108/3498/3095 3107/3497/3094 3099/3484/3082 +f 3101/3488/3086 3109/3499/3096 3108/3498/3095 3100/3486/3084 +f 3102/3490/3088 3110/3500/3097 3109/3499/3096 3101/3488/3086 +f 3103/3492/3090 3111/3501/3098 3110/3500/3097 3102/3490/3088 +f 3104/3477/3077 3112/3494/3092 3111/3501/3098 3103/3492/3090 +f 3105/3493/3091 3113/3502/3099 3120/3503/3100 3112/3494/3092 +f 3106/3495/3093 3114/3504/3101 3113/3505/3099 3105/3496/3091 +f 3107/3497/3094 3115/3506/3102 3114/3504/3101 3106/3495/3093 +f 3108/3498/3095 3116/3507/3103 3115/3506/3102 3107/3497/3094 +f 3109/3499/3096 3117/3508/3104 3116/3507/3103 3108/3498/3095 +f 3110/3500/3097 3118/3509/3105 3117/3508/3104 3109/3499/3096 +f 3111/3501/3098 3119/3510/3106 3118/3509/3105 3110/3500/3097 +f 3112/3494/3092 3120/3503/3100 3119/3510/3106 3111/3501/3098 +f 3113/3502/3099 3121/3511/3107 3128/3512/3108 3120/3503/3100 +f 3114/3504/3101 3122/3513/3109 3121/3514/3107 3113/3505/3099 +f 3115/3506/3102 3123/3515/3110 3122/3513/3109 3114/3504/3101 +f 3116/3507/3103 3124/3516/3111 3123/3515/3110 3115/3506/3102 +f 3117/3508/3104 3125/3517/3112 3124/3516/3111 3116/3507/3103 +f 3118/3509/3105 3126/3518/3113 3125/3517/3112 3117/3508/3104 +f 3119/3510/3106 3127/3519/3114 3126/3518/3113 3118/3509/3105 +f 3120/3503/3100 3128/3512/3108 3127/3519/3114 3119/3510/3106 +f 3121/3511/3107 3129/3520/3115 3136/3521/3116 3128/3512/3108 +f 3122/3513/3109 3130/3522/3117 3129/3523/3115 3121/3514/3107 +f 3123/3515/3110 3131/3524/3118 3130/3522/3117 3122/3513/3109 +f 3124/3516/3111 3132/3525/3119 3131/3524/3118 3123/3515/3110 +f 3125/3517/3112 3133/3526/3120 3132/3525/3119 3124/3516/3111 +f 3126/3518/3113 3134/3527/3121 3133/3526/3120 3125/3517/3112 +f 3127/3519/3114 3135/3528/3122 3134/3527/3121 3126/3518/3113 +f 3128/3512/3108 3136/3521/3116 3135/3528/3122 3127/3519/3114 +f 3129/3520/3115 3137/3529/3123 3144/3530/3124 3136/3521/3116 +f 3130/3522/3117 3138/3531/3125 3137/3532/3123 3129/3523/3115 +f 3131/3524/3118 3139/3533/3126 3138/3531/3125 3130/3522/3117 +f 3132/3525/3119 3140/3534/3127 3139/3533/3126 3131/3524/3118 +f 3133/3526/3120 3141/3535/3128 3140/3534/3127 3132/3525/3119 +f 3134/3527/3121 3142/3536/3129 3141/3535/3128 3133/3526/3120 +f 3135/3528/3122 3143/3537/3130 3142/3536/3129 3134/3527/3121 +f 3136/3521/3116 3144/3530/3124 3143/3537/3130 3135/3528/3122 +f 3145/3538/3131 3153/3539/3132 3160/3540/3133 3152/3541/3134 +f 3146/3542/3135 3154/3543/3136 3153/3544/3132 3145/3545/3131 +f 3147/3546/3137 3155/3547/3138 3154/3543/3136 3146/3542/3135 +f 3148/3548/3139 3156/3549/3140 3155/3547/3138 3147/3546/3137 +f 3149/3550/3141 3157/3551/3142 3156/3549/3140 3148/3548/3139 +f 3150/3552/3143 3158/3553/3144 3157/3551/3142 3149/3550/3141 +f 3151/3554/3145 3159/3555/3146 3158/3553/3144 3150/3552/3143 +f 3152/3541/3134 3160/3540/3133 3159/3555/3146 3151/3554/3145 +f 3153/3539/3132 3161/3556/3147 3168/3557/3148 3160/3540/3133 +f 3154/3543/3136 3162/3558/3149 3161/3559/3147 3153/3544/3132 +f 3155/3547/3138 3163/3560/3150 3162/3558/3149 3154/3543/3136 +f 3156/3549/3140 3164/3561/3151 3163/3560/3150 3155/3547/3138 +f 3157/3551/3142 3165/3562/3152 3164/3561/3151 3156/3549/3140 +f 3158/3553/3144 3166/3563/3153 3165/3562/3152 3157/3551/3142 +f 3159/3555/3146 3167/3564/3154 3166/3563/3153 3158/3553/3144 +f 3160/3540/3133 3168/3557/3148 3167/3564/3154 3159/3555/3146 +f 3161/3556/3147 3169/3565/3155 3176/3566/3156 3168/3557/3148 +f 3162/3558/3149 3170/3567/3157 3169/3568/3155 3161/3559/3147 +f 3163/3560/3150 3171/3569/3158 3170/3567/3157 3162/3558/3149 +f 3164/3561/3151 3172/3570/3159 3171/3569/3158 3163/3560/3150 +f 3165/3562/3152 3173/3571/3160 3172/3570/3159 3164/3561/3151 +f 3166/3563/3153 3174/3572/3161 3173/3571/3160 3165/3562/3152 +f 3167/3564/3154 3175/3573/3162 3174/3572/3161 3166/3563/3153 +f 3168/3557/3148 3176/3566/3156 3175/3573/3162 3167/3564/3154 +f 3169/3565/3155 3177/3574/3163 3184/3575/3164 3176/3566/3156 +f 3170/3567/3157 3178/3576/3165 3177/3577/3163 3169/3568/3155 +f 3171/3569/3158 3179/3578/3166 3178/3576/3165 3170/3567/3157 +f 3172/3570/3159 3180/3579/3167 3179/3578/3166 3171/3569/3158 +f 3173/3571/3160 3181/3580/3168 3180/3579/3167 3172/3570/3159 +f 3174/3572/3161 3182/3581/3169 3181/3580/3168 3173/3571/3160 +f 3175/3573/3162 3183/3582/3170 3182/3581/3169 3174/3572/3161 +f 3176/3566/3156 3184/3575/3164 3183/3582/3170 3175/3573/3162 +f 3177/3574/3163 3185/3583/3171 3192/3584/3172 3184/3575/3164 +f 3178/3576/3165 3186/3585/3173 3185/3586/3171 3177/3577/3163 +f 3179/3578/3166 3187/3587/3174 3186/3585/3173 3178/3576/3165 +f 3180/3579/3167 3188/3588/3175 3187/3587/3174 3179/3578/3166 +f 3181/3580/3168 3189/3589/3176 3188/3588/3175 3180/3579/3167 +f 3182/3581/3169 3190/3590/3177 3189/3589/3176 3181/3580/3168 +f 3183/3582/3170 3191/3591/3178 3190/3590/3177 3182/3581/3169 +f 3184/3575/3164 3192/3584/3172 3191/3591/3178 3183/3582/3170 +f 3185/3583/3171 3193/3592/3179 3200/3593/3180 3192/3584/3172 +f 3186/3585/3173 3194/3594/3181 3193/3595/3179 3185/3586/3171 +f 3187/3587/3174 3195/3596/3182 3194/3594/3181 3186/3585/3173 +f 3188/3588/3175 3196/3597/3183 3195/3596/3182 3187/3587/3174 +f 3189/3589/3176 3197/3598/3184 3196/3597/3183 3188/3588/3175 +f 3190/3590/3177 3198/3599/3185 3197/3598/3184 3189/3589/3176 +f 3191/3591/3178 3199/3600/3186 3198/3599/3185 3190/3590/3177 +f 3192/3584/3172 3200/3593/3180 3199/3600/3186 3191/3591/3178 +f 3193/3592/3179 3201/3601/3187 3208/3602/3188 3200/3593/3180 +f 3194/3594/3181 3202/3603/3189 3201/3604/3187 3193/3595/3179 +f 3195/3596/3182 3203/3605/3190 3202/3603/3189 3194/3594/3181 +f 3196/3597/3183 3204/3606/3191 3203/3605/3190 3195/3596/3182 +f 3197/3598/3184 3205/3607/3192 3204/3606/3191 3196/3597/3183 +f 3198/3599/3185 3206/3608/3193 3205/3607/3192 3197/3598/3184 +f 3199/3600/3186 3207/3609/3194 3206/3608/3193 3198/3599/3185 +f 3200/3593/3180 3208/3602/3188 3207/3609/3194 3199/3600/3186 +f 3201/3601/3187 3209/3610/3195 3216/3611/3196 3208/3602/3188 +f 3202/3603/3189 3210/3612/3197 3209/3613/3195 3201/3604/3187 +f 3203/3605/3190 3211/3614/3198 3210/3612/3197 3202/3603/3189 +f 3204/3606/3191 3212/3615/3199 3211/3614/3198 3203/3605/3190 +f 3205/3607/3192 3213/3616/3200 3212/3615/3199 3204/3606/3191 +f 3206/3608/3193 3214/3617/3201 3213/3616/3200 3205/3607/3192 +f 3207/3609/3194 3215/3618/3202 3214/3617/3201 3206/3608/3193 +f 3208/3602/3188 3216/3611/3196 3215/3618/3202 3207/3609/3194 +f 3209/3610/3195 3217/3619/3203 3224/3620/3204 3216/3611/3196 +f 3210/3612/3197 3218/3621/3205 3217/3622/3203 3209/3613/3195 +f 3211/3614/3198 3219/3623/3206 3218/3621/3205 3210/3612/3197 +f 3212/3615/3199 3220/3624/3207 3219/3623/3206 3211/3614/3198 +f 3213/3616/3200 3221/3625/3208 3220/3624/3207 3212/3615/3199 +f 3214/3617/3201 3222/3626/3209 3221/3625/3208 3213/3616/3200 +f 3215/3618/3202 3223/3627/3210 3222/3626/3209 3214/3617/3201 +f 3216/3611/3196 3224/3620/3204 3223/3627/3210 3215/3618/3202 +f 3217/3619/3203 3225/3628/3211 3232/3629/3212 3224/3620/3204 +f 3218/3621/3205 3226/3630/3213 3225/3631/3211 3217/3622/3203 +f 3219/3623/3206 3227/3632/3214 3226/3630/3213 3218/3621/3205 +f 3220/3624/3207 3228/3633/3215 3227/3632/3214 3219/3623/3206 +f 3221/3625/3208 3229/3634/3216 3228/3633/3215 3220/3624/3207 +f 3222/3626/3209 3230/3635/3217 3229/3634/3216 3221/3625/3208 +f 3223/3627/3210 3231/3636/3218 3230/3635/3217 3222/3626/3209 +f 3224/3620/3204 3232/3629/3212 3231/3636/3218 3223/3627/3210 +f 3225/3628/3211 3233/3637/3219 3240/3638/3220 3232/3629/3212 +f 3226/3630/3213 3234/3639/3221 3233/3640/3219 3225/3631/3211 +f 3227/3632/3214 3235/3641/3222 3234/3639/3221 3226/3630/3213 +f 3228/3633/3215 3236/3642/3223 3235/3641/3222 3227/3632/3214 +f 3229/3634/3216 3237/3643/3224 3236/3642/3223 3228/3633/3215 +f 3230/3635/3217 3238/3644/3225 3237/3643/3224 3229/3634/3216 +f 3231/3636/3218 3239/3645/3226 3238/3644/3225 3230/3635/3217 +f 3232/3629/3212 3240/3638/3220 3239/3645/3226 3231/3636/3218 +f 3233/3637/3219 3241/3646/3227 3248/3647/3228 3240/3638/3220 +f 3234/3639/3221 3242/3648/3229 3241/3649/3227 3233/3640/3219 +f 3235/3641/3222 3243/3650/3230 3242/3648/3229 3234/3639/3221 +f 3236/3642/3223 3244/3651/3231 3243/3650/3230 3235/3641/3222 +f 3237/3643/3224 3245/3652/3232 3244/3651/3231 3236/3642/3223 +f 3238/3644/3225 3246/3653/3233 3245/3652/3232 3237/3643/3224 +f 3239/3645/3226 3247/3654/3234 3246/3653/3233 3238/3644/3225 +f 3240/3638/3220 3248/3647/3228 3247/3654/3234 3239/3645/3226 +f 3249/3655/3235 3257/3656/3236 3264/3657/3237 3256/3658/3238 +f 3250/3659/3239 3258/3660/3240 3257/3661/3236 3249/3662/3235 +f 3251/3663/3241 3259/3664/3242 3258/3660/3240 3250/3659/3239 +f 3252/3665/3243 3260/3666/3244 3259/3664/3242 3251/3663/3241 +f 3253/3667/3245 3261/3668/3246 3260/3666/3244 3252/3665/3243 +f 3254/3669/3247 3262/3670/3248 3261/3668/3246 3253/3667/3245 +f 3255/3671/3249 3263/3672/3250 3262/3670/3248 3254/3669/3247 +f 3256/3658/3238 3264/3657/3237 3263/3672/3250 3255/3671/3249 +f 3257/3656/3236 3265/3673/3251 3272/3674/3252 3264/3657/3237 +f 3258/3660/3240 3266/3675/3253 3265/3676/3251 3257/3661/3236 +f 3259/3664/3242 3267/3677/3254 3266/3675/3253 3258/3660/3240 +f 3260/3666/3244 3268/3678/3255 3267/3677/3254 3259/3664/3242 +f 3261/3668/3246 3269/3679/3256 3268/3678/3255 3260/3666/3244 +f 3262/3670/3248 3270/3680/3257 3269/3679/3256 3261/3668/3246 +f 3263/3672/3250 3271/3681/3258 3270/3680/3257 3262/3670/3248 +f 3264/3657/3237 3272/3674/3252 3271/3681/3258 3263/3672/3250 +f 3265/3673/3251 3273/3682/3259 3280/3683/3260 3272/3674/3252 +f 3266/3675/3253 3274/3684/3261 3273/3685/3259 3265/3676/3251 +f 3267/3677/3254 3275/3686/3262 3274/3684/3261 3266/3675/3253 +f 3268/3678/3255 3276/3687/3263 3275/3686/3262 3267/3677/3254 +f 3269/3679/3256 3277/3688/3264 3276/3687/3263 3268/3678/3255 +f 3270/3680/3257 3278/3689/3265 3277/3688/3264 3269/3679/3256 +f 3271/3681/3258 3279/3690/3266 3278/3689/3265 3270/3680/3257 +f 3272/3674/3252 3280/3683/3260 3279/3690/3266 3271/3681/3258 +f 3273/3682/3259 3281/3691/3267 3288/3692/3268 3280/3683/3260 +f 3274/3684/3261 3282/3693/3269 3281/3694/3267 3273/3685/3259 +f 3275/3686/3262 3283/3695/3270 3282/3693/3269 3274/3684/3261 +f 3276/3687/3263 3284/3696/3271 3283/3695/3270 3275/3686/3262 +f 3277/3688/3264 3285/3697/3272 3284/3696/3271 3276/3687/3263 +f 3278/3689/3265 3286/3698/3273 3285/3697/3272 3277/3688/3264 +f 3279/3690/3266 3287/3699/3274 3286/3698/3273 3278/3689/3265 +f 3280/3683/3260 3288/3692/3268 3287/3699/3274 3279/3690/3266 +f 3281/3691/3267 3289/3700/3275 3296/3701/3276 3288/3692/3268 +f 3282/3693/3269 3290/3702/3277 3289/3703/3275 3281/3694/3267 +f 3283/3695/3270 3291/3704/3278 3290/3702/3277 3282/3693/3269 +f 3284/3696/3271 3292/3705/3279 3291/3704/3278 3283/3695/3270 +f 3285/3697/3272 3293/3706/3280 3292/3705/3279 3284/3696/3271 +f 3286/3698/3273 3294/3707/3281 3293/3706/3280 3285/3697/3272 +f 3287/3699/3274 3295/3708/3282 3294/3707/3281 3286/3698/3273 +f 3288/3692/3268 3296/3701/3276 3295/3708/3282 3287/3699/3274 +f 3289/3700/3275 3297/3709/3283 3304/3710/3284 3296/3701/3276 +f 3290/3702/3277 3298/3711/3285 3297/3712/3283 3289/3703/3275 +f 3291/3704/3278 3299/3713/3286 3298/3711/3285 3290/3702/3277 +f 3292/3705/3279 3300/3714/3287 3299/3713/3286 3291/3704/3278 +f 3293/3706/3280 3301/3715/3288 3300/3714/3287 3292/3705/3279 +f 3294/3707/3281 3302/3716/3289 3301/3715/3288 3293/3706/3280 +f 3295/3708/3282 3303/3717/3290 3302/3716/3289 3294/3707/3281 +f 3296/3701/3276 3304/3710/3284 3303/3717/3290 3295/3708/3282 +f 3305/3718/3291 3313/3719/3291 3320/3720/3292 3312/3721/3292 +f 3306/3722/3293 3314/3723/3293 3313/3724/3291 3305/3725/3291 +f 3307/3726/3294 3315/3727/3294 3314/3723/3293 3306/3722/3293 +f 3308/3728/3295 3316/3729/3295 3315/3727/3294 3307/3726/3294 +f 3309/3730/3296 3317/3731/3296 3316/3729/3295 3308/3728/3295 +f 3310/3732/3297 3318/3733/3297 3317/3731/3296 3309/3730/3296 +f 3311/3734/3298 3319/3735/3298 3318/3733/3297 3310/3732/3297 +f 3312/3721/3292 3320/3720/3292 3319/3735/3298 3311/3734/3298 +f 3313/3719/3291 3321/3736/3299 3328/3737/3300 3320/3720/3292 +f 3314/3723/3293 3322/3738/3301 3321/3739/3299 3313/3724/3291 +f 3315/3727/3294 3323/3740/3302 3322/3738/3301 3314/3723/3293 +f 3316/3729/3295 3324/3741/3303 3323/3740/3302 3315/3727/3294 +f 3317/3731/3296 3325/3742/3304 3324/3741/3303 3316/3729/3295 +f 3318/3733/3297 3326/3743/3305 3325/3742/3304 3317/3731/3296 +f 3319/3735/3298 3327/3744/3298 3326/3743/3305 3318/3733/3297 +f 3320/3720/3292 3328/3737/3300 3327/3744/3298 3319/3735/3298 +f 3321/3736/3299 3329/3745/3306 3336/3746/3307 3328/3737/3300 +f 3322/3738/3301 3330/3747/3308 3329/3748/3306 3321/3739/3299 +f 3323/3740/3302 3331/3749/3302 3330/3747/3308 3322/3738/3301 +f 3324/3741/3303 3332/3750/3309 3331/3749/3302 3323/3740/3302 +f 3325/3742/3304 3333/3751/3304 3332/3750/3309 3324/3741/3303 +f 3326/3743/3305 3334/3752/3310 3333/3751/3304 3325/3742/3304 +f 3327/3744/3298 3335/3753/3311 3334/3752/3310 3326/3743/3305 +f 3328/3737/3300 3336/3746/3307 3335/3753/3311 3327/3744/3298 +f 3337/3754/3312 3345/3755/3312 3352/3756/3313 3344/3757/3313 +f 3338/3758/3314 3346/3759/3314 3345/3760/3312 3337/3761/3312 +f 3339/3762/3315 3347/3763/3315 3346/3759/3314 3338/3758/3314 +f 3340/3764/3316 3348/3765/3316 3347/3763/3315 3339/3762/3315 +f 3341/3766/3317 3349/3767/3317 3348/3765/3316 3340/3764/3316 +f 3342/3768/3318 3350/3769/3318 3349/3767/3317 3341/3766/3317 +f 3343/3770/3319 3351/3771/3319 3350/3769/3318 3342/3768/3318 +f 3344/3757/3313 3352/3756/3313 3351/3771/3319 3343/3770/3319 +f 3345/3755/3312 3353/3772/3312 3360/3773/3313 3352/3756/3313 +f 3346/3759/3314 3354/3774/3320 3353/3775/3312 3345/3760/3312 +f 3347/3763/3315 3355/3776/3315 3354/3774/3320 3346/3759/3314 +f 3348/3765/3316 3356/3777/3316 3355/3776/3315 3347/3763/3315 +f 3349/3767/3317 3357/3778/3321 3356/3777/3316 3348/3765/3316 +f 3350/3769/3318 3358/3779/3322 3357/3778/3321 3349/3767/3317 +f 3351/3771/3319 3359/3780/3323 3358/3779/3322 3350/3769/3318 +f 3352/3756/3313 3360/3773/3313 3359/3780/3323 3351/3771/3319 +f 3353/3772/3312 3361/3781/3324 3368/3782/3313 3360/3773/3313 +f 3354/3774/3320 3362/3783/3320 3361/3784/3324 3353/3775/3312 +f 3355/3776/3315 3363/3785/3325 3362/3783/3320 3354/3774/3320 +f 3356/3777/3316 3364/3786/3326 3363/3785/3325 3355/3776/3315 +f 3357/3778/3321 3365/3787/3327 3364/3786/3326 3356/3777/3316 +f 3358/3779/3322 3366/3788/3328 3365/3787/3327 3357/3778/3321 +f 3359/3780/3323 3367/3789/3329 3366/3788/3328 3358/3779/3322 +f 3360/3773/3313 3368/3782/3313 3367/3789/3329 3359/3780/3323 +f 3369/3790/3330 3377/3791/3330 3384/3792/3331 3376/3793/3331 +f 3370/3794/3332 3378/3795/3332 3377/3796/3330 3369/3797/3330 +f 3371/3798/3333 3379/3799/3333 3378/3795/3332 3370/3794/3332 +f 3372/3800/3334 3380/3801/3334 3379/3799/3333 3371/3798/3333 +f 3373/3802/3335 3381/3803/3335 3380/3801/3334 3372/3800/3334 +f 3374/3804/3336 3382/3805/3336 3381/3803/3335 3373/3802/3335 +f 3375/3806/3337 3383/3807/3337 3382/3805/3336 3374/3804/3336 +f 3376/3793/3331 3384/3792/3331 3383/3807/3337 3375/3806/3337 +f 3377/3791/3330 3385/3808/3330 3392/3809/3331 3384/3792/3331 +f 3378/3795/3332 3386/3810/3338 3385/3811/3330 3377/3796/3330 +f 3379/3799/3333 3387/3812/3333 3386/3810/3338 3378/3795/3332 +f 3380/3801/3334 3388/3813/3339 3387/3812/3333 3379/3799/3333 +f 3381/3803/3335 3389/3814/3340 3388/3813/3339 3380/3801/3334 +f 3382/3805/3336 3390/3815/3336 3389/3814/3340 3381/3803/3335 +f 3383/3807/3337 3391/3816/3341 3390/3815/3336 3382/3805/3336 +f 3384/3792/3331 3392/3809/3331 3391/3816/3341 3383/3807/3337 +f 3385/3808/3330 3393/3817/3342 3400/3818/3343 3392/3809/3331 +f 3386/3810/3338 3394/3819/3344 3393/3820/3342 3385/3811/3330 +f 3387/3812/3333 3395/3821/3345 3394/3819/3344 3386/3810/3338 +f 3388/3813/3339 3396/3822/3339 3395/3821/3345 3387/3812/3333 +f 3389/3814/3340 3397/3823/3346 3396/3822/3339 3388/3813/3339 +f 3390/3815/3336 3398/3824/3347 3397/3823/3346 3389/3814/3340 +f 3391/3816/3341 3399/3825/3348 3398/3824/3347 3390/3815/3336 +f 3392/3809/3331 3400/3818/3343 3399/3825/3348 3391/3816/3341 +f 3401/3826/3349 3409/3827/3350 3416/3828/3351 3408/3829/3352 +f 3402/3830/3353 3410/3831/3354 3409/3832/3350 3401/3833/3349 +f 3403/3834/3355 3411/3835/3356 3410/3831/3354 3402/3830/3353 +f 3404/3836/3357 3412/3837/3358 3411/3835/3356 3403/3834/3355 +f 3405/3838/3359 3413/3839/3360 3412/3837/3358 3404/3836/3357 +f 3406/3840/3361 3414/3841/3362 3413/3839/3360 3405/3838/3359 +f 3407/3842/3363 3415/3843/3364 3414/3841/3362 3406/3840/3361 +f 3408/3829/3352 3416/3828/3351 3415/3843/3364 3407/3842/3363 +f 3409/3827/3350 3417/3844/3365 3424/3845/3366 3416/3828/3351 +f 3410/3831/3354 3418/3846/3367 3417/3847/3365 3409/3832/3350 +f 3411/3835/3356 3419/3848/3368 3418/3846/3367 3410/3831/3354 +f 3412/3837/3358 3420/3849/3369 3419/3848/3368 3411/3835/3356 +f 3413/3839/3360 3421/3850/3370 3420/3849/3369 3412/3837/3358 +f 3414/3841/3362 3422/3851/3371 3421/3850/3370 3413/3839/3360 +f 3415/3843/3364 3423/3852/3372 3422/3851/3371 3414/3841/3362 +f 3416/3828/3351 3424/3845/3366 3423/3852/3372 3415/3843/3364 +f 3417/3844/3365 3425/3853/3373 3432/3854/3374 3424/3845/3366 +f 3418/3846/3367 3426/3855/3375 3425/3856/3373 3417/3847/3365 +f 3419/3848/3368 3427/3857/3376 3426/3855/3375 3418/3846/3367 +f 3420/3849/3369 3428/3858/3377 3427/3857/3376 3419/3848/3368 +f 3421/3850/3370 3429/3859/3378 3428/3858/3377 3420/3849/3369 +f 3422/3851/3371 3430/3860/3379 3429/3859/3378 3421/3850/3370 +f 3423/3852/3372 3431/3861/3380 3430/3860/3379 3422/3851/3371 +f 3424/3845/3366 3432/3854/3374 3431/3861/3380 3423/3852/3372 +f 3425/3853/3373 3433/3862/3381 3440/3863/3382 3432/3854/3374 +f 3426/3855/3375 3434/3864/3383 3433/3865/3381 3425/3856/3373 +f 3427/3857/3376 3435/3866/3384 3434/3864/3383 3426/3855/3375 +f 3428/3858/3377 3436/3867/3385 3435/3866/3384 3427/3857/3376 +f 3429/3859/3378 3437/3868/3386 3436/3867/3385 3428/3858/3377 +f 3430/3860/3379 3438/3869/3387 3437/3868/3386 3429/3859/3378 +f 3431/3861/3380 3439/3870/3388 3438/3869/3387 3430/3860/3379 +f 3432/3854/3374 3440/3863/3382 3439/3870/3388 3431/3861/3380 +f 3433/3862/3381 3441/3871/3389 3448/3872/3390 3440/3863/3382 +f 3434/3864/3383 3442/3873/3391 3441/3874/3389 3433/3865/3381 +f 3435/3866/3384 3443/3875/3392 3442/3873/3391 3434/3864/3383 +f 3436/3867/3385 3444/3876/3393 3443/3875/3392 3435/3866/3384 +f 3437/3868/3386 3445/3877/3394 3444/3876/3393 3436/3867/3385 +f 3438/3869/3387 3446/3878/3395 3445/3877/3394 3437/3868/3386 +f 3439/3870/3388 3447/3879/3396 3446/3878/3395 3438/3869/3387 +f 3440/3863/3382 3448/3872/3390 3447/3879/3396 3439/3870/3388 +f 3441/3871/3389 3449/3880/3397 3456/3881/3398 3448/3872/3390 +f 3442/3873/3391 3450/3882/3399 3449/3883/3397 3441/3874/3389 +f 3443/3875/3392 3451/3884/3400 3450/3882/3399 3442/3873/3391 +f 3444/3876/3393 3452/3885/3401 3451/3884/3400 3443/3875/3392 +f 3445/3877/3394 3453/3886/3402 3452/3885/3401 3444/3876/3393 +f 3446/3878/3395 3454/3887/3403 3453/3886/3402 3445/3877/3394 +f 3447/3879/3396 3455/3888/3404 3454/3887/3403 3446/3878/3395 +f 3448/3872/3390 3456/3881/3398 3455/3888/3404 3447/3879/3396 +f 3449/3880/3397 3457/3889/3405 3464/3890/3406 3456/3881/3398 +f 3450/3882/3399 3458/3891/3407 3457/3892/3405 3449/3883/3397 +f 3451/3884/3400 3459/3893/3408 3458/3891/3407 3450/3882/3399 +f 3452/3885/3401 3460/3894/3409 3459/3893/3408 3451/3884/3400 +f 3453/3886/3402 3461/3895/3410 3460/3894/3409 3452/3885/3401 +f 3454/3887/3403 3462/3896/3411 3461/3895/3410 3453/3886/3402 +f 3455/3888/3404 3463/3897/3412 3462/3896/3411 3454/3887/3403 +f 3456/3881/3398 3464/3890/3406 3463/3897/3412 3455/3888/3404 +f 3457/3889/3405 3465/3898/3413 3472/3899/3414 3464/3890/3406 +f 3458/3891/3407 3466/3900/3415 3465/3901/3413 3457/3892/3405 +f 3459/3893/3408 3467/3902/3416 3466/3900/3415 3458/3891/3407 +f 3460/3894/3409 3468/3903/3417 3467/3902/3416 3459/3893/3408 +f 3461/3895/3410 3469/3904/3418 3468/3903/3417 3460/3894/3409 +f 3462/3896/3411 3470/3905/3419 3469/3904/3418 3461/3895/3410 +f 3463/3897/3412 3471/3906/3420 3470/3905/3419 3462/3896/3411 +f 3464/3890/3406 3472/3899/3414 3471/3906/3420 3463/3897/3412 +f 3465/3898/3413 3473/3907/3421 3480/3908/3422 3472/3899/3414 +f 3466/3900/3415 3474/3909/3423 3473/3910/3421 3465/3901/3413 +f 3467/3902/3416 3475/3911/3424 3474/3909/3423 3466/3900/3415 +f 3468/3903/3417 3476/3912/3425 3475/3911/3424 3467/3902/3416 +f 3469/3904/3418 3477/3913/3426 3476/3912/3425 3468/3903/3417 +f 3470/3905/3419 3478/3914/3427 3477/3913/3426 3469/3904/3418 +f 3471/3906/3420 3479/3915/3428 3478/3914/3427 3470/3905/3419 +f 3472/3899/3414 3480/3908/3422 3479/3915/3428 3471/3906/3420 +f 3481/3916/3429 3489/3917/3429 3496/3918/3430 3488/3919/3430 +f 3482/3920/3431 3490/3921/3431 3489/3922/3429 3481/3923/3429 +f 3483/3924/3432 3491/3925/3432 3490/3921/3431 3482/3920/3431 +f 3484/3926/3433 3492/3927/3433 3491/3925/3432 3483/3924/3432 +f 3485/3928/3434 3493/3929/3434 3492/3927/3433 3484/3926/3433 +f 3486/3930/3435 3494/3931/3435 3493/3929/3434 3485/3928/3434 +f 3487/3932/3436 3495/3933/3437 3494/3931/3435 3486/3930/3435 +f 3488/3919/3430 3496/3918/3430 3495/3933/3437 3487/3932/3436 +f 3489/3917/3429 3497/3934/3438 3504/3935/3439 3496/3918/3430 +f 3490/3921/3431 3498/3936/3431 3497/3937/3438 3489/3922/3429 +f 3491/3925/3432 3499/3938/3432 3498/3936/3431 3490/3921/3431 +f 3492/3927/3433 3500/3939/3440 3499/3938/3432 3491/3925/3432 +f 3493/3929/3434 3501/3940/3441 3500/3939/3440 3492/3927/3433 +f 3494/3931/3435 3502/3941/3442 3501/3940/3441 3493/3929/3434 +f 3495/3933/3437 3503/3942/3437 3502/3941/3442 3494/3931/3435 +f 3496/3918/3430 3504/3935/3439 3503/3942/3437 3495/3933/3437 +f 3497/3934/3438 3505/3943/3443 3512/3944/3439 3504/3935/3439 +f 3498/3936/3431 3506/3945/3444 3505/3946/3443 3497/3937/3438 +f 3499/3938/3432 3507/3947/3445 3506/3945/3444 3498/3936/3431 +f 3500/3939/3440 3508/3948/3446 3507/3947/3445 3499/3938/3432 +f 3501/3940/3441 3509/3949/3447 3508/3948/3446 3500/3939/3440 +f 3502/3941/3442 3510/3950/3448 3509/3949/3447 3501/3940/3441 +f 3503/3942/3437 3511/3951/3449 3510/3950/3448 3502/3941/3442 +f 3504/3935/3439 3512/3944/3439 3511/3951/3449 3503/3942/3437 +f 3513/3952/3450 3521/3953/3450 3528/3954/3451 3520/3955/3451 +f 3514/3956/3452 3522/3957/3452 3521/3958/3450 3513/3959/3450 +f 3515/3960/3453 3523/3961/3453 3522/3957/3452 3514/3956/3452 +f 3516/3962/3454 3524/3963/3454 3523/3961/3453 3515/3960/3453 +f 3517/3964/3455 3525/3965/3455 3524/3963/3454 3516/3962/3454 +f 3518/3966/3456 3526/3967/3456 3525/3965/3455 3517/3964/3455 +f 3519/3968/3457 3527/3969/3457 3526/3967/3456 3518/3966/3456 +f 3520/3955/3451 3528/3954/3451 3527/3969/3457 3519/3968/3457 +f 3521/3953/3450 3529/3970/3458 3536/3971/3451 3528/3954/3451 +f 3522/3957/3452 3530/3972/3459 3529/3973/3458 3521/3958/3450 +f 3523/3961/3453 3531/3974/3460 3530/3972/3459 3522/3957/3452 +f 3524/3963/3454 3532/3975/3461 3531/3974/3460 3523/3961/3453 +f 3525/3965/3455 3533/3976/3462 3532/3975/3461 3524/3963/3454 +f 3526/3967/3456 3534/3977/3463 3533/3976/3462 3525/3965/3455 +f 3527/3969/3457 3535/3978/3457 3534/3977/3463 3526/3967/3456 +f 3528/3954/3451 3536/3971/3451 3535/3978/3457 3527/3969/3457 +f 3529/3970/3458 3537/3979/3464 3544/3980/3465 3536/3971/3451 +f 3530/3972/3459 3538/3981/3466 3537/3982/3464 3529/3973/3458 +f 3531/3974/3460 3539/3983/3467 3538/3981/3466 3530/3972/3459 +f 3532/3975/3461 3540/3984/3468 3539/3983/3467 3531/3974/3460 +f 3533/3976/3462 3541/3985/3462 3540/3984/3468 3532/3975/3461 +f 3534/3977/3463 3542/3986/3469 3541/3985/3462 3533/3976/3462 +f 3535/3978/3457 3543/3987/3470 3542/3986/3469 3534/3977/3463 +f 3536/3971/3451 3544/3980/3465 3543/3987/3470 3535/3978/3457 +f 3545/3988/3471 3553/3989/3472 3560/3990/3473 3552/3991/3474 +f 3546/3992/3475 3554/3993/3476 3553/3994/3472 3545/3995/3471 +f 3547/3996/3477 3555/3997/3478 3554/3993/3476 3546/3992/3475 +f 3548/3998/3479 3556/3999/3480 3555/3997/3478 3547/3996/3477 +f 3549/4000/3481 3557/4001/3482 3556/3999/3480 3548/3998/3479 +f 3550/4002/3483 3558/4003/3484 3557/4001/3482 3549/4000/3481 +f 3551/4004/3485 3559/4005/3486 3558/4003/3484 3550/4002/3483 +f 3552/3991/3474 3560/3990/3473 3559/4005/3486 3551/4004/3485 +f 3553/3989/3472 3561/4006/3487 3568/4007/3488 3560/3990/3473 +f 3554/3993/3476 3562/4008/3489 3561/4009/3487 3553/3994/3472 +f 3555/3997/3478 3563/4010/3490 3562/4008/3489 3554/3993/3476 +f 3556/3999/3480 3564/4011/3491 3563/4010/3490 3555/3997/3478 +f 3557/4001/3482 3565/4012/3492 3564/4011/3491 3556/3999/3480 +f 3558/4003/3484 3566/4013/3493 3565/4012/3492 3557/4001/3482 +f 3559/4005/3486 3567/4014/3494 3566/4013/3493 3558/4003/3484 +f 3560/3990/3473 3568/4007/3488 3567/4014/3494 3559/4005/3486 +f 3561/4006/3487 3569/4015/3495 3576/4016/3496 3568/4007/3488 +f 3562/4008/3489 3570/4017/3497 3569/4018/3495 3561/4009/3487 +f 3563/4010/3490 3571/4019/3498 3570/4017/3497 3562/4008/3489 +f 3564/4011/3491 3572/4020/3499 3571/4019/3498 3563/4010/3490 +f 3565/4012/3492 3573/4021/3500 3572/4020/3499 3564/4011/3491 +f 3566/4013/3493 3574/4022/3501 3573/4021/3500 3565/4012/3492 +f 3567/4014/3494 3575/4023/3502 3574/4022/3501 3566/4013/3493 +f 3568/4007/3488 3576/4016/3496 3575/4023/3502 3567/4014/3494 +f 3569/4015/3495 3577/4024/3503 3584/4025/3504 3576/4016/3496 +f 3570/4017/3497 3578/4026/3505 3577/4027/3503 3569/4018/3495 +f 3571/4019/3498 3579/4028/3506 3578/4026/3505 3570/4017/3497 +f 3572/4020/3499 3580/4029/3507 3579/4028/3506 3571/4019/3498 +f 3573/4021/3500 3581/4030/3508 3580/4029/3507 3572/4020/3499 +f 3574/4022/3501 3582/4031/3509 3581/4030/3508 3573/4021/3500 +f 3575/4023/3502 3583/4032/3510 3582/4031/3509 3574/4022/3501 +f 3576/4016/3496 3584/4025/3504 3583/4032/3510 3575/4023/3502 +f 3577/4024/3503 3585/4033/3511 3592/4034/3512 3584/4025/3504 +f 3578/4026/3505 3586/4035/3513 3585/4036/3511 3577/4027/3503 +f 3579/4028/3506 3587/4037/3514 3586/4035/3513 3578/4026/3505 +f 3580/4029/3507 3588/4038/3515 3587/4037/3514 3579/4028/3506 +f 3581/4030/3508 3589/4039/3516 3588/4038/3515 3580/4029/3507 +f 3582/4031/3509 3590/4040/3517 3589/4039/3516 3581/4030/3508 +f 3583/4032/3510 3591/4041/3518 3590/4040/3517 3582/4031/3509 +f 3584/4025/3504 3592/4034/3512 3591/4041/3518 3583/4032/3510 +f 3585/4033/3511 3593/4042/3519 3600/4043/3520 3592/4034/3512 +f 3586/4035/3513 3594/4044/3521 3593/4045/3519 3585/4036/3511 +f 3587/4037/3514 3595/4046/3522 3594/4044/3521 3586/4035/3513 +f 3588/4038/3515 3596/4047/3523 3595/4046/3522 3587/4037/3514 +f 3589/4039/3516 3597/4048/3524 3596/4047/3523 3588/4038/3515 +f 3590/4040/3517 3598/4049/3525 3597/4048/3524 3589/4039/3516 +f 3591/4041/3518 3599/4050/3526 3598/4049/3525 3590/4040/3517 +f 3592/4034/3512 3600/4043/3520 3599/4050/3526 3591/4041/3518 +f 3593/4042/3519 3601/4051/3527 3608/4052/3528 3600/4043/3520 +f 3594/4044/3521 3602/4053/3529 3601/4054/3527 3593/4045/3519 +f 3595/4046/3522 3603/4055/3530 3602/4053/3529 3594/4044/3521 +f 3596/4047/3523 3604/4056/3531 3603/4055/3530 3595/4046/3522 +f 3597/4048/3524 3605/4057/3532 3604/4056/3531 3596/4047/3523 +f 3598/4049/3525 3606/4058/3533 3605/4057/3532 3597/4048/3524 +f 3599/4050/3526 3607/4059/3534 3606/4058/3533 3598/4049/3525 +f 3600/4043/3520 3608/4052/3528 3607/4059/3534 3599/4050/3526 +f 3601/4051/3527 3609/4060/3535 3616/4061/3536 3608/4052/3528 +f 3602/4053/3529 3610/4062/3537 3609/4063/3535 3601/4054/3527 +f 3603/4055/3530 3611/4064/3538 3610/4062/3537 3602/4053/3529 +f 3604/4056/3531 3612/4065/3539 3611/4064/3538 3603/4055/3530 +f 3605/4057/3532 3613/4066/3540 3612/4065/3539 3604/4056/3531 +f 3606/4058/3533 3614/4067/3541 3613/4066/3540 3605/4057/3532 +f 3607/4059/3534 3615/4068/3542 3614/4067/3541 3606/4058/3533 +f 3608/4052/3528 3616/4061/3536 3615/4068/3542 3607/4059/3534 +f 3609/4060/3535 3617/4069/3543 3624/4070/3544 3616/4061/3536 +f 3610/4062/3537 3618/4071/3545 3617/4072/3543 3609/4063/3535 +f 3611/4064/3538 3619/4073/3546 3618/4071/3545 3610/4062/3537 +f 3612/4065/3539 3620/4074/3547 3619/4073/3546 3611/4064/3538 +f 3613/4066/3540 3621/4075/3548 3620/4074/3547 3612/4065/3539 +f 3614/4067/3541 3622/4076/3549 3621/4075/3548 3613/4066/3540 +f 3615/4068/3542 3623/4077/3550 3622/4076/3549 3614/4067/3541 +f 3616/4061/3536 3624/4070/3544 3623/4077/3550 3615/4068/3542 +f 3617/4069/3543 3625/4078/3551 3632/4079/3552 3624/4070/3544 +f 3618/4071/3545 3626/4080/3553 3625/4081/3551 3617/4072/3543 +f 3619/4073/3546 3627/4082/3554 3626/4080/3553 3618/4071/3545 +f 3620/4074/3547 3628/4083/3555 3627/4082/3554 3619/4073/3546 +f 3621/4075/3548 3629/4084/3556 3628/4083/3555 3620/4074/3547 +f 3622/4076/3549 3630/4085/3557 3629/4084/3556 3621/4075/3548 +f 3623/4077/3550 3631/4086/3558 3630/4085/3557 3622/4076/3549 +f 3624/4070/3544 3632/4079/3552 3631/4086/3558 3623/4077/3550 +f 3625/4078/3551 3633/4087/3559 3640/4088/3560 3632/4079/3552 +f 3626/4080/3553 3634/4089/3561 3633/4090/3559 3625/4081/3551 +f 3627/4082/3554 3635/4091/3562 3634/4089/3561 3626/4080/3553 +f 3628/4083/3555 3636/4092/3563 3635/4091/3562 3627/4082/3554 +f 3629/4084/3556 3637/4093/3564 3636/4092/3563 3628/4083/3555 +f 3630/4085/3557 3638/4094/3565 3637/4093/3564 3629/4084/3556 +f 3631/4086/3558 3639/4095/3566 3638/4094/3565 3630/4085/3557 +f 3632/4079/3552 3640/4088/3560 3639/4095/3566 3631/4086/3558 +f 3633/4087/3559 3641/4096/3567 3648/4097/3568 3640/4088/3560 +f 3634/4089/3561 3642/4098/3569 3641/4099/3567 3633/4090/3559 +f 3635/4091/3562 3643/4100/3570 3642/4098/3569 3634/4089/3561 +f 3636/4092/3563 3644/4101/3571 3643/4100/3570 3635/4091/3562 +f 3637/4093/3564 3645/4102/3572 3644/4101/3571 3636/4092/3563 +f 3638/4094/3565 3646/4103/3573 3645/4102/3572 3637/4093/3564 +f 3639/4095/3566 3647/4104/3574 3646/4103/3573 3638/4094/3565 +f 3640/4088/3560 3648/4097/3568 3647/4104/3574 3639/4095/3566 +f 3649/4105/3575 3657/4106/3576 3664/4107/3577 3656/4108/3578 +f 3650/4109/3579 3658/4110/3580 3657/4111/3576 3649/4112/3575 +f 3651/4113/3581 3659/4114/3582 3658/4110/3580 3650/4109/3579 +f 3652/4115/3583 3660/4116/3584 3659/4114/3582 3651/4113/3581 +f 3653/4117/3585 3661/4118/3586 3660/4116/3584 3652/4115/3583 +f 3654/4119/3587 3662/4120/3588 3661/4118/3586 3653/4117/3585 +f 3655/4121/3589 3663/4122/3590 3662/4120/3588 3654/4119/3587 +f 3656/4108/3578 3664/4107/3577 3663/4122/3590 3655/4121/3589 +f 3657/4106/3576 3665/4123/3591 3672/4124/3592 3664/4107/3577 +f 3658/4110/3580 3666/4125/3593 3665/4126/3591 3657/4111/3576 +f 3659/4114/3582 3667/4127/3594 3666/4125/3593 3658/4110/3580 +f 3660/4116/3584 3668/4128/3595 3667/4127/3594 3659/4114/3582 +f 3661/4118/3586 3669/4129/3596 3668/4128/3595 3660/4116/3584 +f 3662/4120/3588 3670/4130/3597 3669/4129/3596 3661/4118/3586 +f 3663/4122/3590 3671/4131/3598 3670/4130/3597 3662/4120/3588 +f 3664/4107/3577 3672/4124/3592 3671/4131/3598 3663/4122/3590 +f 3665/4123/3591 3673/4132/3599 3680/4133/3600 3672/4124/3592 +f 3666/4125/3593 3674/4134/3601 3673/4135/3599 3665/4126/3591 +f 3667/4127/3594 3675/4136/3602 3674/4134/3601 3666/4125/3593 +f 3668/4128/3595 3676/4137/3603 3675/4136/3602 3667/4127/3594 +f 3669/4129/3596 3677/4138/3604 3676/4137/3603 3668/4128/3595 +f 3670/4130/3597 3678/4139/3605 3677/4138/3604 3669/4129/3596 +f 3671/4131/3598 3679/4140/3606 3678/4139/3605 3670/4130/3597 +f 3672/4124/3592 3680/4133/3600 3679/4140/3606 3671/4131/3598 +f 3673/4132/3599 3681/4141/3607 3688/4142/3608 3680/4133/3600 +f 3674/4134/3601 3682/4143/3609 3681/4144/3607 3673/4135/3599 +f 3675/4136/3602 3683/4145/3610 3682/4143/3609 3674/4134/3601 +f 3676/4137/3603 3684/4146/3611 3683/4145/3610 3675/4136/3602 +f 3677/4138/3604 3685/4147/3612 3684/4146/3611 3676/4137/3603 +f 3678/4139/3605 3686/4148/3613 3685/4147/3612 3677/4138/3604 +f 3679/4140/3606 3687/4149/3614 3686/4148/3613 3678/4139/3605 +f 3680/4133/3600 3688/4142/3608 3687/4149/3614 3679/4140/3606 +f 3681/4141/3607 3689/4150/3615 3696/4151/3616 3688/4142/3608 +f 3682/4143/3609 3690/4152/3617 3689/4153/3615 3681/4144/3607 +f 3683/4145/3610 3691/4154/3618 3690/4152/3617 3682/4143/3609 +f 3684/4146/3611 3692/4155/3619 3691/4154/3618 3683/4145/3610 +f 3685/4147/3612 3693/4156/3620 3692/4155/3619 3684/4146/3611 +f 3686/4148/3613 3694/4157/3621 3693/4156/3620 3685/4147/3612 +f 3687/4149/3614 3695/4158/3622 3694/4157/3621 3686/4148/3613 +f 3688/4142/3608 3696/4151/3616 3695/4158/3622 3687/4149/3614 +f 3689/4150/3615 3697/4159/3623 3704/4160/3624 3696/4151/3616 +f 3690/4152/3617 3698/4161/3625 3697/4162/3623 3689/4153/3615 +f 3691/4154/3618 3699/4163/3626 3698/4161/3625 3690/4152/3617 +f 3692/4155/3619 3700/4164/3627 3699/4163/3626 3691/4154/3618 +f 3693/4156/3620 3701/4165/3628 3700/4164/3627 3692/4155/3619 +f 3694/4157/3621 3702/4166/3629 3701/4165/3628 3693/4156/3620 +f 3695/4158/3622 3703/4167/3630 3702/4166/3629 3694/4157/3621 +f 3696/4151/3616 3704/4160/3624 3703/4167/3630 3695/4158/3622 +f 3705/4168/3631 3713/4169/3632 3720/4170/3633 3712/4171/3634 +f 3706/4172/3635 3714/4173/3636 3713/4174/3632 3705/4175/3631 +f 3707/4176/3637 3715/4177/3638 3714/4173/3636 3706/4172/3635 +f 3708/4178/3639 3716/4179/3640 3715/4177/3638 3707/4176/3637 +f 3709/4180/3641 3717/4181/3642 3716/4179/3640 3708/4178/3639 +f 3710/4182/3643 3718/4183/3644 3717/4181/3642 3709/4180/3641 +f 3711/4184/3645 3719/4185/3646 3718/4183/3644 3710/4182/3643 +f 3712/4171/3634 3720/4170/3633 3719/4185/3646 3711/4184/3645 +f 3713/4169/3632 3721/4186/3647 3728/4187/3648 3720/4170/3633 +f 3714/4173/3636 3722/4188/3649 3721/4189/3647 3713/4174/3632 +f 3715/4177/3638 3723/4190/3650 3722/4188/3649 3714/4173/3636 +f 3716/4179/3640 3724/4191/3651 3723/4190/3650 3715/4177/3638 +f 3717/4181/3642 3725/4192/3652 3724/4191/3651 3716/4179/3640 +f 3718/4183/3644 3726/4193/3653 3725/4192/3652 3717/4181/3642 +f 3719/4185/3646 3727/4194/3654 3726/4193/3653 3718/4183/3644 +f 3720/4170/3633 3728/4187/3648 3727/4194/3654 3719/4185/3646 +f 3721/4186/3647 3729/4195/3655 3736/4196/3656 3728/4187/3648 +f 3722/4188/3649 3730/4197/3657 3729/4198/3655 3721/4189/3647 +f 3723/4190/3650 3731/4199/3658 3730/4197/3657 3722/4188/3649 +f 3724/4191/3651 3732/4200/3659 3731/4199/3658 3723/4190/3650 +f 3725/4192/3652 3733/4201/3660 3732/4200/3659 3724/4191/3651 +f 3726/4193/3653 3734/4202/3661 3733/4201/3660 3725/4192/3652 +f 3727/4194/3654 3735/4203/3662 3734/4202/3661 3726/4193/3653 +f 3728/4187/3648 3736/4196/3656 3735/4203/3662 3727/4194/3654 +f 3729/4195/3655 3737/4204/3663 3744/4205/3664 3736/4196/3656 +f 3730/4197/3657 3738/4206/3665 3737/4207/3663 3729/4198/3655 +f 3731/4199/3658 3739/4208/3666 3738/4206/3665 3730/4197/3657 +f 3732/4200/3659 3740/4209/3667 3739/4208/3666 3731/4199/3658 +f 3733/4201/3660 3741/4210/3668 3740/4209/3667 3732/4200/3659 +f 3734/4202/3661 3742/4211/3669 3741/4210/3668 3733/4201/3660 +f 3735/4203/3662 3743/4212/3670 3742/4211/3669 3734/4202/3661 +f 3736/4196/3656 3744/4205/3664 3743/4212/3670 3735/4203/3662 +f 3737/4204/3663 3745/4213/3671 3752/4214/3672 3744/4205/3664 +f 3738/4206/3665 3746/4215/3673 3745/4216/3671 3737/4207/3663 +f 3739/4208/3666 3747/4217/3674 3746/4215/3673 3738/4206/3665 +f 3740/4209/3667 3748/4218/3675 3747/4217/3674 3739/4208/3666 +f 3741/4210/3668 3749/4219/3676 3748/4218/3675 3740/4209/3667 +f 3742/4211/3669 3750/4220/3677 3749/4219/3676 3741/4210/3668 +f 3743/4212/3670 3751/4221/3678 3750/4220/3677 3742/4211/3669 +f 3744/4205/3664 3752/4214/3672 3751/4221/3678 3743/4212/3670 +f 3745/4213/3671 3753/4222/3679 3760/4223/3680 3752/4214/3672 +f 3746/4215/3673 3754/4224/3681 3753/4225/3679 3745/4216/3671 +f 3747/4217/3674 3755/4226/3682 3754/4224/3681 3746/4215/3673 +f 3748/4218/3675 3756/4227/3683 3755/4226/3682 3747/4217/3674 +f 3749/4219/3676 3757/4228/3684 3756/4227/3683 3748/4218/3675 +f 3750/4220/3677 3758/4229/3685 3757/4228/3684 3749/4219/3676 +f 3751/4221/3678 3759/4230/3686 3758/4229/3685 3750/4220/3677 +f 3752/4214/3672 3760/4223/3680 3759/4230/3686 3751/4221/3678 +f 3753/4222/3679 3761/4231/3687 3768/4232/3688 3760/4223/3680 +f 3754/4224/3681 3762/4233/3689 3761/4234/3687 3753/4225/3679 +f 3755/4226/3682 3763/4235/3690 3762/4233/3689 3754/4224/3681 +f 3756/4227/3683 3764/4236/3691 3763/4235/3690 3755/4226/3682 +f 3757/4228/3684 3765/4237/3692 3764/4236/3691 3756/4227/3683 +f 3758/4229/3685 3766/4238/3693 3765/4237/3692 3757/4228/3684 +f 3759/4230/3686 3767/4239/3694 3766/4238/3693 3758/4229/3685 +f 3760/4223/3680 3768/4232/3688 3767/4239/3694 3759/4230/3686 +f 3761/4231/3687 3769/4240/3695 3776/4241/3696 3768/4232/3688 +f 3762/4233/3689 3770/4242/3697 3769/4243/3695 3761/4234/3687 +f 3763/4235/3690 3771/4244/3698 3770/4242/3697 3762/4233/3689 +f 3764/4236/3691 3772/4245/3699 3771/4244/3698 3763/4235/3690 +f 3765/4237/3692 3773/4246/3700 3772/4245/3699 3764/4236/3691 +f 3766/4238/3693 3774/4247/3701 3773/4246/3700 3765/4237/3692 +f 3767/4239/3694 3775/4248/3702 3774/4247/3701 3766/4238/3693 +f 3768/4232/3688 3776/4241/3696 3775/4248/3702 3767/4239/3694 +f 3769/4240/3695 3777/4249/3703 3784/4250/3704 3776/4241/3696 +f 3770/4242/3697 3778/4251/3705 3777/4252/3703 3769/4243/3695 +f 3771/4244/3698 3779/4253/3706 3778/4251/3705 3770/4242/3697 +f 3772/4245/3699 3780/4254/3707 3779/4253/3706 3771/4244/3698 +f 3773/4246/3700 3781/4255/3708 3780/4254/3707 3772/4245/3699 +f 3774/4247/3701 3782/4256/3709 3781/4255/3708 3773/4246/3700 +f 3775/4248/3702 3783/4257/3710 3782/4256/3709 3774/4247/3701 +f 3776/4241/3696 3784/4250/3704 3783/4257/3710 3775/4248/3702 +f 3785/4258/3711 3793/4259/3711 3800/4260/3712 3792/4261/3712 +f 3786/4262/3713 3794/4263/3713 3793/4264/3711 3785/4265/3711 +f 3787/4266/3714 3795/4267/3714 3794/4263/3713 3786/4262/3713 +f 3788/4268/3715 3796/4269/3716 3795/4267/3714 3787/4266/3714 +f 3789/4270/3717 3797/4271/3717 3796/4269/3716 3788/4268/3715 +f 3790/4272/3718 3798/4273/3718 3797/4271/3717 3789/4270/3717 +f 3791/4274/3719 3799/4275/3719 3798/4273/3718 3790/4272/3718 +f 3792/4261/3712 3800/4260/3712 3799/4275/3719 3791/4274/3719 +f 3793/4259/3711 3801/4276/3711 3808/4277/3720 3800/4260/3712 +f 3794/4263/3713 3802/4278/3721 3801/4279/3711 3793/4264/3711 +f 3795/4267/3714 3803/4280/3714 3802/4278/3721 3794/4263/3713 +f 3796/4269/3716 3804/4281/3722 3803/4280/3714 3795/4267/3714 +f 3797/4271/3717 3805/4282/3723 3804/4281/3722 3796/4269/3716 +f 3798/4273/3718 3806/4283/3718 3805/4282/3723 3797/4271/3717 +f 3799/4275/3719 3807/4284/3724 3806/4283/3718 3798/4273/3718 +f 3800/4260/3712 3808/4277/3720 3807/4284/3724 3799/4275/3719 +f 3801/4276/3711 3809/4285/3725 3816/4286/3726 3808/4277/3720 +f 3802/4278/3721 3810/4287/3721 3809/4288/3725 3801/4279/3711 +f 3803/4280/3714 3811/4289/3727 3810/4287/3721 3802/4278/3721 +f 3804/4281/3722 3812/4290/3728 3811/4289/3727 3803/4280/3714 +f 3805/4282/3723 3813/4291/3723 3812/4290/3728 3804/4281/3722 +f 3806/4283/3718 3814/4292/3729 3813/4291/3723 3805/4282/3723 +f 3807/4284/3724 3815/4293/3724 3814/4292/3729 3806/4283/3718 +f 3808/4277/3720 3816/4286/3726 3815/4293/3724 3807/4284/3724 +f 3817/4294/3730 3825/4295/3730 3832/4296/3731 3824/4297/3731 +f 3818/4298/3732 3826/4299/3732 3825/4300/3730 3817/4301/3730 +f 3819/4302/3733 3827/4303/3733 3826/4299/3732 3818/4298/3732 +f 3820/4304/3734 3828/4305/3734 3827/4303/3733 3819/4302/3733 +f 3821/4306/3735 3829/4307/3735 3828/4305/3734 3820/4304/3734 +f 3822/4308/3736 3830/4309/3736 3829/4307/3735 3821/4306/3735 +f 3823/4310/3737 3831/4311/3737 3830/4309/3736 3822/4308/3736 +f 3824/4297/3731 3832/4296/3731 3831/4311/3737 3823/4310/3737 +f 3825/4295/3730 3833/4312/3730 3840/4313/3738 3832/4296/3731 +f 3826/4299/3732 3834/4314/3739 3833/4315/3730 3825/4300/3730 +f 3827/4303/3733 3835/4316/3733 3834/4314/3739 3826/4299/3732 +f 3828/4305/3734 3836/4317/3740 3835/4316/3733 3827/4303/3733 +f 3829/4307/3735 3837/4318/3741 3836/4317/3740 3828/4305/3734 +f 3830/4309/3736 3838/4319/3742 3837/4318/3741 3829/4307/3735 +f 3831/4311/3737 3839/4320/3743 3838/4319/3742 3830/4309/3736 +f 3832/4296/3731 3840/4313/3738 3839/4320/3743 3831/4311/3737 +f 3833/4312/3730 3841/4321/3744 3848/4322/3745 3840/4313/3738 +f 3834/4314/3739 3842/4323/3746 3841/4324/3744 3833/4315/3730 +f 3835/4316/3733 3843/4325/3747 3842/4323/3746 3834/4314/3739 +f 3836/4317/3740 3844/4326/3740 3843/4325/3747 3835/4316/3733 +f 3837/4318/3741 3845/4327/3748 3844/4326/3740 3836/4317/3740 +f 3838/4319/3742 3846/4328/3749 3845/4327/3748 3837/4318/3741 +f 3839/4320/3743 3847/4329/3750 3846/4328/3749 3838/4319/3742 +f 3840/4313/3738 3848/4322/3745 3847/4329/3750 3839/4320/3743 +f 3849/4330/3751 3857/4331/3752 3864/4332/3753 3856/4333/3754 +f 3850/4334/3755 3858/4335/3756 3857/4336/3752 3849/4337/3751 +f 3851/4338/3757 3859/4339/3758 3858/4335/3756 3850/4334/3755 +f 3852/4340/3759 3860/4341/3760 3859/4339/3758 3851/4338/3757 +f 3853/4342/3761 3861/4343/3762 3860/4341/3760 3852/4340/3759 +f 3854/4344/3763 3862/4345/3764 3861/4343/3762 3853/4342/3761 +f 3855/4346/3765 3863/4347/3766 3862/4345/3764 3854/4344/3763 +f 3856/4333/3754 3864/4332/3753 3863/4347/3766 3855/4346/3765 +f 3857/4331/3752 3865/4348/3767 3872/4349/3768 3864/4332/3753 +f 3858/4335/3756 3866/4350/3769 3865/4351/3767 3857/4336/3752 +f 3859/4339/3758 3867/4352/3770 3866/4350/3769 3858/4335/3756 +f 3860/4341/3760 3868/4353/3771 3867/4352/3770 3859/4339/3758 +f 3861/4343/3762 3869/4354/3772 3868/4353/3771 3860/4341/3760 +f 3862/4345/3764 3870/4355/3773 3869/4354/3772 3861/4343/3762 +f 3863/4347/3766 3871/4356/3774 3870/4355/3773 3862/4345/3764 +f 3864/4332/3753 3872/4349/3768 3871/4356/3774 3863/4347/3766 +f 3865/4348/3767 3873/4357/3775 3880/4358/3776 3872/4349/3768 +f 3866/4350/3769 3874/4359/3777 3873/4360/3775 3865/4351/3767 +f 3867/4352/3770 3875/4361/3778 3874/4359/3777 3866/4350/3769 +f 3868/4353/3771 3876/4362/3779 3875/4361/3778 3867/4352/3770 +f 3869/4354/3772 3877/4363/3780 3876/4362/3779 3868/4353/3771 +f 3870/4355/3773 3878/4364/3781 3877/4363/3780 3869/4354/3772 +f 3871/4356/3774 3879/4365/3782 3878/4364/3781 3870/4355/3773 +f 3872/4349/3768 3880/4358/3776 3879/4365/3782 3871/4356/3774 +f 3873/4357/3775 3881/4366/3783 3888/4367/3784 3880/4358/3776 +f 3874/4359/3777 3882/4368/3785 3881/4369/3783 3873/4360/3775 +f 3875/4361/3778 3883/4370/3786 3882/4368/3785 3874/4359/3777 +f 3876/4362/3779 3884/4371/3787 3883/4370/3786 3875/4361/3778 +f 3877/4363/3780 3885/4372/3788 3884/4371/3787 3876/4362/3779 +f 3878/4364/3781 3886/4373/3789 3885/4372/3788 3877/4363/3780 +f 3879/4365/3782 3887/4374/3790 3886/4373/3789 3878/4364/3781 +f 3880/4358/3776 3888/4367/3784 3887/4374/3790 3879/4365/3782 +f 3881/4366/3783 3889/4375/3791 3896/4376/3792 3888/4367/3784 +f 3882/4368/3785 3890/4377/3793 3889/4378/3791 3881/4369/3783 +f 3883/4370/3786 3891/4379/3794 3890/4377/3793 3882/4368/3785 +f 3884/4371/3787 3892/4380/3795 3891/4379/3794 3883/4370/3786 +f 3885/4372/3788 3893/4381/3796 3892/4380/3795 3884/4371/3787 +f 3886/4373/3789 3894/4382/3797 3893/4381/3796 3885/4372/3788 +f 3887/4374/3790 3895/4383/3798 3894/4382/3797 3886/4373/3789 +f 3888/4367/3784 3896/4376/3792 3895/4383/3798 3887/4374/3790 +f 3889/4375/3791 3897/4384/3799 3904/4385/3800 3896/4376/3792 +f 3890/4377/3793 3898/4386/3801 3897/4387/3799 3889/4378/3791 +f 3891/4379/3794 3899/4388/3802 3898/4386/3801 3890/4377/3793 +f 3892/4380/3795 3900/4389/3803 3899/4388/3802 3891/4379/3794 +f 3893/4381/3796 3901/4390/3804 3900/4389/3803 3892/4380/3795 +f 3894/4382/3797 3902/4391/3805 3901/4390/3804 3893/4381/3796 +f 3895/4383/3798 3903/4392/3806 3902/4391/3805 3894/4382/3797 +f 3896/4376/3792 3904/4385/3800 3903/4392/3806 3895/4383/3798 +f 3897/4384/3799 3905/4393/3807 3912/4394/3808 3904/4385/3800 +f 3898/4386/3801 3906/4395/3809 3905/4396/3807 3897/4387/3799 +f 3899/4388/3802 3907/4397/3810 3906/4395/3809 3898/4386/3801 +f 3900/4389/3803 3908/4398/3811 3907/4397/3810 3899/4388/3802 +f 3901/4390/3804 3909/4399/3812 3908/4398/3811 3900/4389/3803 +f 3902/4391/3805 3910/4400/3813 3909/4399/3812 3901/4390/3804 +f 3903/4392/3806 3911/4401/3814 3910/4400/3813 3902/4391/3805 +f 3904/4385/3800 3912/4394/3808 3911/4401/3814 3903/4392/3806 +f 3905/4393/3807 3913/4402/3815 3920/4403/3816 3912/4394/3808 +f 3906/4395/3809 3914/4404/3817 3913/4405/3815 3905/4396/3807 +f 3907/4397/3810 3915/4406/3818 3914/4404/3817 3906/4395/3809 +f 3908/4398/3811 3916/4407/3819 3915/4406/3818 3907/4397/3810 +f 3909/4399/3812 3917/4408/3820 3916/4407/3819 3908/4398/3811 +f 3910/4400/3813 3918/4409/3821 3917/4408/3820 3909/4399/3812 +f 3911/4401/3814 3919/4410/3822 3918/4409/3821 3910/4400/3813 +f 3912/4394/3808 3920/4403/3816 3919/4410/3822 3911/4401/3814 +f 3913/4402/3815 3921/4411/3823 3928/4412/3824 3920/4403/3816 +f 3914/4404/3817 3922/4413/3825 3921/4414/3823 3913/4405/3815 +f 3915/4406/3818 3923/4415/3826 3922/4413/3825 3914/4404/3817 +f 3916/4407/3819 3924/4416/3827 3923/4415/3826 3915/4406/3818 +f 3917/4408/3820 3925/4417/3828 3924/4416/3827 3916/4407/3819 +f 3918/4409/3821 3926/4418/3829 3925/4417/3828 3917/4408/3820 +f 3919/4410/3822 3927/4419/3830 3926/4418/3829 3918/4409/3821 +f 3920/4403/3816 3928/4412/3824 3927/4419/3830 3919/4410/3822 +f 3921/4411/3823 3929/4420/3831 3936/4421/3832 3928/4412/3824 +f 3922/4413/3825 3930/4422/3833 3929/4423/3831 3921/4414/3823 +f 3923/4415/3826 3931/4424/3834 3930/4422/3833 3922/4413/3825 +f 3924/4416/3827 3932/4425/3835 3931/4424/3834 3923/4415/3826 +f 3925/4417/3828 3933/4426/3836 3932/4425/3835 3924/4416/3827 +f 3926/4418/3829 3934/4427/3837 3933/4426/3836 3925/4417/3828 +f 3927/4419/3830 3935/4428/3838 3934/4427/3837 3926/4418/3829 +f 3928/4412/3824 3936/4421/3832 3935/4428/3838 3927/4419/3830 +f 3929/4420/3831 3937/4429/3839 3944/4430/3840 3936/4421/3832 +f 3930/4422/3833 3938/4431/3841 3937/4432/3839 3929/4423/3831 +f 3931/4424/3834 3939/4433/3842 3938/4431/3841 3930/4422/3833 +f 3932/4425/3835 3940/4434/3843 3939/4433/3842 3931/4424/3834 +f 3933/4426/3836 3941/4435/3844 3940/4434/3843 3932/4425/3835 +f 3934/4427/3837 3942/4436/3845 3941/4435/3844 3933/4426/3836 +f 3935/4428/3838 3943/4437/3846 3942/4436/3845 3934/4427/3837 +f 3936/4421/3832 3944/4430/3840 3943/4437/3846 3935/4428/3838 +f 3937/4429/3839 3945/4438/3847 3952/4439/3848 3944/4430/3840 +f 3938/4431/3841 3946/4440/3849 3945/4441/3847 3937/4432/3839 +f 3939/4433/3842 3947/4442/3850 3946/4440/3849 3938/4431/3841 +f 3940/4434/3843 3948/4443/3851 3947/4442/3850 3939/4433/3842 +f 3941/4435/3844 3949/4444/3852 3948/4443/3851 3940/4434/3843 +f 3942/4436/3845 3950/4445/3853 3949/4444/3852 3941/4435/3844 +f 3943/4437/3846 3951/4446/3854 3950/4445/3853 3942/4436/3845 +f 3944/4430/3840 3952/4439/3848 3951/4446/3854 3943/4437/3846 +f 3953/4447/3855 3961/4448/3856 3968/4449/3857 3960/4450/3858 +f 3954/4451/3859 3962/4452/3860 3961/4453/3856 3953/4454/3855 +f 3955/4455/3861 3963/4456/3862 3962/4452/3860 3954/4451/3859 +f 3956/4457/3863 3964/4458/3864 3963/4456/3862 3955/4455/3861 +f 3957/4459/3865 3965/4460/3866 3964/4458/3864 3956/4457/3863 +f 3958/4461/3867 3966/4462/3868 3965/4460/3866 3957/4459/3865 +f 3959/4463/3869 3967/4464/3870 3966/4462/3868 3958/4461/3867 +f 3960/4450/3858 3968/4449/3857 3967/4464/3870 3959/4463/3869 +f 3961/4448/3856 3969/4465/3871 3976/4466/3872 3968/4449/3857 +f 3962/4452/3860 3970/4467/3873 3969/4468/3871 3961/4453/3856 +f 3963/4456/3862 3971/4469/3874 3970/4467/3873 3962/4452/3860 +f 3964/4458/3864 3972/4470/3875 3971/4469/3874 3963/4456/3862 +f 3965/4460/3866 3973/4471/3876 3972/4470/3875 3964/4458/3864 +f 3966/4462/3868 3974/4472/3877 3973/4471/3876 3965/4460/3866 +f 3967/4464/3870 3975/4473/3878 3974/4472/3877 3966/4462/3868 +f 3968/4449/3857 3976/4466/3872 3975/4473/3878 3967/4464/3870 +f 3969/4465/3871 3977/4474/3879 3984/4475/3880 3976/4466/3872 +f 3970/4467/3873 3978/4476/3881 3977/4477/3879 3969/4468/3871 +f 3971/4469/3874 3979/4478/3882 3978/4476/3881 3970/4467/3873 +f 3972/4470/3875 3980/4479/3883 3979/4478/3882 3971/4469/3874 +f 3973/4471/3876 3981/4480/3884 3980/4479/3883 3972/4470/3875 +f 3974/4472/3877 3982/4481/3885 3981/4480/3884 3973/4471/3876 +f 3975/4473/3878 3983/4482/3886 3982/4481/3885 3974/4472/3877 +f 3976/4466/3872 3984/4475/3880 3983/4482/3886 3975/4473/3878 +f 3977/4474/3879 3985/4483/3887 3992/4484/3888 3984/4475/3880 +f 3978/4476/3881 3986/4485/3889 3985/4486/3887 3977/4477/3879 +f 3979/4478/3882 3987/4487/3890 3986/4485/3889 3978/4476/3881 +f 3980/4479/3883 3988/4488/3891 3987/4487/3890 3979/4478/3882 +f 3981/4480/3884 3989/4489/3892 3988/4488/3891 3980/4479/3883 +f 3982/4481/3885 3990/4490/3893 3989/4489/3892 3981/4480/3884 +f 3983/4482/3886 3991/4491/3894 3990/4490/3893 3982/4481/3885 +f 3984/4475/3880 3992/4484/3888 3991/4491/3894 3983/4482/3886 +f 3985/4483/3887 3993/4492/3895 4000/4493/3896 3992/4484/3888 +f 3986/4485/3889 3994/4494/3897 3993/4495/3895 3985/4486/3887 +f 3987/4487/3890 3995/4496/3898 3994/4494/3897 3986/4485/3889 +f 3988/4488/3891 3996/4497/3899 3995/4496/3898 3987/4487/3890 +f 3989/4489/3892 3997/4498/3900 3996/4497/3899 3988/4488/3891 +f 3990/4490/3893 3998/4499/3901 3997/4498/3900 3989/4489/3892 +f 3991/4491/3894 3999/4500/3902 3998/4499/3901 3990/4490/3893 +f 3992/4484/3888 4000/4493/3896 3999/4500/3902 3991/4491/3894 +f 3993/4492/3895 4001/4501/3903 4008/4502/3904 4000/4493/3896 +f 3994/4494/3897 4002/4503/3905 4001/4504/3903 3993/4495/3895 +f 3995/4496/3898 4003/4505/3906 4002/4503/3905 3994/4494/3897 +f 3996/4497/3899 4004/4506/3907 4003/4505/3906 3995/4496/3898 +f 3997/4498/3900 4005/4507/3908 4004/4506/3907 3996/4497/3899 +f 3998/4499/3901 4006/4508/3909 4005/4507/3908 3997/4498/3900 +f 3999/4500/3902 4007/4509/3910 4006/4508/3909 3998/4499/3901 +f 4000/4493/3896 4008/4502/3904 4007/4509/3910 3999/4500/3902 +f 4009/4510/3911 4017/4511/3912 4024/4512/3913 4016/4513/3914 +f 4010/4514/3915 4018/4515/3916 4017/4516/3912 4009/4517/3911 +f 4011/4518/3917 4019/4519/3918 4018/4515/3916 4010/4514/3915 +f 4012/4520/3919 4020/4521/3920 4019/4519/3918 4011/4518/3917 +f 4013/4522/3921 4021/4523/3922 4020/4521/3920 4012/4520/3919 +f 4014/4524/3923 4022/4525/3924 4021/4523/3922 4013/4522/3921 +f 4015/4526/3925 4023/4527/3926 4022/4525/3924 4014/4524/3923 +f 4016/4513/3914 4024/4512/3913 4023/4527/3926 4015/4526/3925 +f 4017/4511/3912 4025/4528/3927 4032/4529/3928 4024/4512/3913 +f 4018/4515/3916 4026/4530/3929 4025/4531/3927 4017/4516/3912 +f 4019/4519/3918 4027/4532/3930 4026/4530/3929 4018/4515/3916 +f 4020/4521/3920 4028/4533/3931 4027/4532/3930 4019/4519/3918 +f 4021/4523/3922 4029/4534/3932 4028/4533/3931 4020/4521/3920 +f 4022/4525/3924 4030/4535/3933 4029/4534/3932 4021/4523/3922 +f 4023/4527/3926 4031/4536/3934 4030/4535/3933 4022/4525/3924 +f 4024/4512/3913 4032/4529/3928 4031/4536/3934 4023/4527/3926 +f 4025/4528/3927 4033/4537/3935 4040/4538/3936 4032/4529/3928 +f 4026/4530/3929 4034/4539/3937 4033/4540/3935 4025/4531/3927 +f 4027/4532/3930 4035/4541/3938 4034/4539/3937 4026/4530/3929 +f 4028/4533/3931 4036/4542/3939 4035/4541/3938 4027/4532/3930 +f 4029/4534/3932 4037/4543/3940 4036/4542/3939 4028/4533/3931 +f 4030/4535/3933 4038/4544/3941 4037/4543/3940 4029/4534/3932 +f 4031/4536/3934 4039/4545/3942 4038/4544/3941 4030/4535/3933 +f 4032/4529/3928 4040/4538/3936 4039/4545/3942 4031/4536/3934 +f 4033/4537/3935 4041/4546/3943 4048/4547/3944 4040/4538/3936 +f 4034/4539/3937 4042/4548/3945 4041/4549/3943 4033/4540/3935 +f 4035/4541/3938 4043/4550/3946 4042/4548/3945 4034/4539/3937 +f 4036/4542/3939 4044/4551/3947 4043/4550/3946 4035/4541/3938 +f 4037/4543/3940 4045/4552/3948 4044/4551/3947 4036/4542/3939 +f 4038/4544/3941 4046/4553/3949 4045/4552/3948 4037/4543/3940 +f 4039/4545/3942 4047/4554/3950 4046/4553/3949 4038/4544/3941 +f 4040/4538/3936 4048/4547/3944 4047/4554/3950 4039/4545/3942 +f 4041/4546/3943 4049/4555/3951 4056/4556/3952 4048/4547/3944 +f 4042/4548/3945 4050/4557/3953 4049/4558/3951 4041/4549/3943 +f 4043/4550/3946 4051/4559/3954 4050/4557/3953 4042/4548/3945 +f 4044/4551/3947 4052/4560/3955 4051/4559/3954 4043/4550/3946 +f 4045/4552/3948 4053/4561/3956 4052/4560/3955 4044/4551/3947 +f 4046/4553/3949 4054/4562/3957 4053/4561/3956 4045/4552/3948 +f 4047/4554/3950 4055/4563/3958 4054/4562/3957 4046/4553/3949 +f 4048/4547/3944 4056/4556/3952 4055/4563/3958 4047/4554/3950 +f 4049/4555/3951 4057/4564/3959 4064/4565/3960 4056/4556/3952 +f 4050/4557/3953 4058/4566/3961 4057/4567/3959 4049/4558/3951 +f 4051/4559/3954 4059/4568/3962 4058/4566/3961 4050/4557/3953 +f 4052/4560/3955 4060/4569/3963 4059/4568/3962 4051/4559/3954 +f 4053/4561/3956 4061/4570/3964 4060/4569/3963 4052/4560/3955 +f 4054/4562/3957 4062/4571/3965 4061/4570/3964 4053/4561/3956 +f 4055/4563/3958 4063/4572/3966 4062/4571/3965 4054/4562/3957 +f 4056/4556/3952 4064/4565/3960 4063/4572/3966 4055/4563/3958 +f 4065/4573/3967 4073/4574/3968 4080/4575/3969 4072/4576/3970 +f 4066/4577/3971 4074/4578/3972 4073/4579/3968 4065/4580/3967 +f 4067/4581/3973 4075/4582/3974 4074/4578/3972 4066/4577/3971 +f 4068/4583/3975 4076/4584/3976 4075/4582/3974 4067/4581/3973 +f 4069/4585/3977 4077/4586/3978 4076/4584/3976 4068/4583/3975 +f 4070/4587/3979 4078/4588/3980 4077/4586/3978 4069/4585/3977 +f 4071/4589/3981 4079/4590/3982 4078/4588/3980 4070/4587/3979 +f 4072/4576/3970 4080/4575/3969 4079/4590/3982 4071/4589/3981 +f 4073/4574/3968 4081/4591/3983 4088/4592/3984 4080/4575/3969 +f 4074/4578/3972 4082/4593/3985 4081/4594/3983 4073/4579/3968 +f 4075/4582/3974 4083/4595/3986 4082/4593/3985 4074/4578/3972 +f 4076/4584/3976 4084/4596/3987 4083/4595/3986 4075/4582/3974 +f 4077/4586/3978 4085/4597/3988 4084/4596/3987 4076/4584/3976 +f 4078/4588/3980 4086/4598/3989 4085/4597/3988 4077/4586/3978 +f 4079/4590/3982 4087/4599/3990 4086/4598/3989 4078/4588/3980 +f 4080/4575/3969 4088/4592/3984 4087/4599/3990 4079/4590/3982 +f 4081/4591/3983 4089/4600/3991 4096/4601/3992 4088/4592/3984 +f 4082/4593/3985 4090/4602/3993 4089/4603/3991 4081/4594/3983 +f 4083/4595/3986 4091/4604/3994 4090/4602/3993 4082/4593/3985 +f 4084/4596/3987 4092/4605/3995 4091/4604/3994 4083/4595/3986 +f 4085/4597/3988 4093/4606/3996 4092/4605/3995 4084/4596/3987 +f 4086/4598/3989 4094/4607/3997 4093/4606/3996 4085/4597/3988 +f 4087/4599/3990 4095/4608/3998 4094/4607/3997 4086/4598/3989 +f 4088/4592/3984 4096/4601/3992 4095/4608/3998 4087/4599/3990 +f 4089/4600/3991 4097/4609/3999 4104/4610/4000 4096/4601/3992 +f 4090/4602/3993 4098/4611/4001 4097/4612/3999 4089/4603/3991 +f 4091/4604/3994 4099/4613/4002 4098/4611/4001 4090/4602/3993 +f 4092/4605/3995 4100/4614/4003 4099/4613/4002 4091/4604/3994 +f 4093/4606/3996 4101/4615/4004 4100/4614/4003 4092/4605/3995 +f 4094/4607/3997 4102/4616/4005 4101/4615/4004 4093/4606/3996 +f 4095/4608/3998 4103/4617/4006 4102/4616/4005 4094/4607/3997 +f 4096/4601/3992 4104/4610/4000 4103/4617/4006 4095/4608/3998 +f 4097/4609/3999 4105/4618/4007 4112/4619/4008 4104/4610/4000 +f 4098/4611/4001 4106/4620/4009 4105/4621/4007 4097/4612/3999 +f 4099/4613/4002 4107/4622/4010 4106/4620/4009 4098/4611/4001 +f 4100/4614/4003 4108/4623/4011 4107/4622/4010 4099/4613/4002 +f 4101/4615/4004 4109/4624/4012 4108/4623/4011 4100/4614/4003 +f 4102/4616/4005 4110/4625/4013 4109/4624/4012 4101/4615/4004 +f 4103/4617/4006 4111/4626/4014 4110/4625/4013 4102/4616/4005 +f 4104/4610/4000 4112/4619/4008 4111/4626/4014 4103/4617/4006 +f 4105/4618/4007 4113/4627/4015 4120/4628/4016 4112/4619/4008 +f 4106/4620/4009 4114/4629/4017 4113/4630/4015 4105/4621/4007 +f 4107/4622/4010 4115/4631/4018 4114/4629/4017 4106/4620/4009 +f 4108/4623/4011 4116/4632/4019 4115/4631/4018 4107/4622/4010 +f 4109/4624/4012 4117/4633/4020 4116/4632/4019 4108/4623/4011 +f 4110/4625/4013 4118/4634/4021 4117/4633/4020 4109/4624/4012 +f 4111/4626/4014 4119/4635/4022 4118/4634/4021 4110/4625/4013 +f 4112/4619/4008 4120/4628/4016 4119/4635/4022 4111/4626/4014 +f 4121/4636/4023 4129/4637/4024 4136/4638/4025 4128/4639/4026 +f 4122/4640/4027 4130/4641/4028 4129/4642/4024 4121/4643/4023 +f 4123/4644/4029 4131/4645/4030 4130/4641/4028 4122/4640/4027 +f 4124/4646/4031 4132/4647/4032 4131/4645/4030 4123/4644/4029 +f 4125/4648/4033 4133/4649/4034 4132/4647/4032 4124/4646/4031 +f 4126/4650/4035 4134/4651/4036 4133/4649/4034 4125/4648/4033 +f 4127/4652/4037 4135/4653/4038 4134/4651/4036 4126/4650/4035 +f 4128/4639/4026 4136/4638/4025 4135/4653/4038 4127/4652/4037 +f 4129/4637/4024 4137/4654/4039 4144/4655/4040 4136/4638/4025 +f 4130/4641/4028 4138/4656/4041 4137/4657/4039 4129/4642/4024 +f 4131/4645/4030 4139/4658/4042 4138/4656/4041 4130/4641/4028 +f 4132/4647/4032 4140/4659/4043 4139/4658/4042 4131/4645/4030 +f 4133/4649/4034 4141/4660/4044 4140/4659/4043 4132/4647/4032 +f 4134/4651/4036 4142/4661/4045 4141/4660/4044 4133/4649/4034 +f 4135/4653/4038 4143/4662/4046 4142/4661/4045 4134/4651/4036 +f 4136/4638/4025 4144/4655/4040 4143/4662/4046 4135/4653/4038 +f 4137/4654/4039 4145/4663/4047 4152/4664/4048 4144/4655/4040 +f 4138/4656/4041 4146/4665/4049 4145/4666/4047 4137/4657/4039 +f 4139/4658/4042 4147/4667/4050 4146/4665/4049 4138/4656/4041 +f 4140/4659/4043 4148/4668/4051 4147/4667/4050 4139/4658/4042 +f 4141/4660/4044 4149/4669/4052 4148/4668/4051 4140/4659/4043 +f 4142/4661/4045 4150/4670/4053 4149/4669/4052 4141/4660/4044 +f 4143/4662/4046 4151/4671/4054 4150/4670/4053 4142/4661/4045 +f 4144/4655/4040 4152/4664/4048 4151/4671/4054 4143/4662/4046 +f 4145/4663/4047 4153/4672/4055 4160/4673/4056 4152/4664/4048 +f 4146/4665/4049 4154/4674/4057 4153/4675/4055 4145/4666/4047 +f 4147/4667/4050 4155/4676/4058 4154/4674/4057 4146/4665/4049 +f 4148/4668/4051 4156/4677/4059 4155/4676/4058 4147/4667/4050 +f 4149/4669/4052 4157/4678/4060 4156/4677/4059 4148/4668/4051 +f 4150/4670/4053 4158/4679/4061 4157/4678/4060 4149/4669/4052 +f 4151/4671/4054 4159/4680/4062 4158/4679/4061 4150/4670/4053 +f 4152/4664/4048 4160/4673/4056 4159/4680/4062 4151/4671/4054 +f 4153/4672/4055 4161/4681/4063 4168/4682/4064 4160/4673/4056 +f 4154/4674/4057 4162/4683/4065 4161/4684/4063 4153/4675/4055 +f 4155/4676/4058 4163/4685/4066 4162/4683/4065 4154/4674/4057 +f 4156/4677/4059 4164/4686/4067 4163/4685/4066 4155/4676/4058 +f 4157/4678/4060 4165/4687/4068 4164/4686/4067 4156/4677/4059 +f 4158/4679/4061 4166/4688/4069 4165/4687/4068 4157/4678/4060 +f 4159/4680/4062 4167/4689/4070 4166/4688/4069 4158/4679/4061 +f 4160/4673/4056 4168/4682/4064 4167/4689/4070 4159/4680/4062 +f 4161/4681/4063 4169/4690/4071 4176/4691/4072 4168/4682/4064 +f 4162/4683/4065 4170/4692/4073 4169/4693/4071 4161/4684/4063 +f 4163/4685/4066 4171/4694/4074 4170/4692/4073 4162/4683/4065 +f 4164/4686/4067 4172/4695/4075 4171/4694/4074 4163/4685/4066 +f 4165/4687/4068 4173/4696/4076 4172/4695/4075 4164/4686/4067 +f 4166/4688/4069 4174/4697/4077 4173/4696/4076 4165/4687/4068 +f 4167/4689/4070 4175/4698/4078 4174/4697/4077 4166/4688/4069 +f 4168/4682/4064 4176/4691/4072 4175/4698/4078 4167/4689/4070 +f 4169/4690/4071 4177/4699/4079 4184/4700/4080 4176/4691/4072 +f 4170/4692/4073 4178/4701/4081 4177/4702/4079 4169/4693/4071 +f 4171/4694/4074 4179/4703/4082 4178/4701/4081 4170/4692/4073 +f 4172/4695/4075 4180/4704/4083 4179/4703/4082 4171/4694/4074 +f 4173/4696/4076 4181/4705/4084 4180/4704/4083 4172/4695/4075 +f 4174/4697/4077 4182/4706/4085 4181/4705/4084 4173/4696/4076 +f 4175/4698/4078 4183/4707/4086 4182/4706/4085 4174/4697/4077 +f 4176/4691/4072 4184/4700/4080 4183/4707/4086 4175/4698/4078 +f 4177/4699/4079 4185/4708/4087 4192/4709/4088 4184/4700/4080 +f 4178/4701/4081 4186/4710/4089 4185/4711/4087 4177/4702/4079 +f 4179/4703/4082 4187/4712/4090 4186/4710/4089 4178/4701/4081 +f 4180/4704/4083 4188/4713/4091 4187/4712/4090 4179/4703/4082 +f 4181/4705/4084 4189/4714/4092 4188/4713/4091 4180/4704/4083 +f 4182/4706/4085 4190/4715/4093 4189/4714/4092 4181/4705/4084 +f 4183/4707/4086 4191/4716/4094 4190/4715/4093 4182/4706/4085 +f 4184/4700/4080 4192/4709/4088 4191/4716/4094 4183/4707/4086 +f 4185/4708/4087 4193/4717/4095 4200/4718/4096 4192/4709/4088 +f 4186/4710/4089 4194/4719/4097 4193/4720/4095 4185/4711/4087 +f 4187/4712/4090 4195/4721/4098 4194/4719/4097 4186/4710/4089 +f 4188/4713/4091 4196/4722/4099 4195/4721/4098 4187/4712/4090 +f 4189/4714/4092 4197/4723/4100 4196/4722/4099 4188/4713/4091 +f 4190/4715/4093 4198/4724/4101 4197/4723/4100 4189/4714/4092 +f 4191/4716/4094 4199/4725/4102 4198/4724/4101 4190/4715/4093 +f 4192/4709/4088 4200/4718/4096 4199/4725/4102 4191/4716/4094 +f 4193/4717/4095 4201/4726/4103 4208/4727/4104 4200/4718/4096 +f 4194/4719/4097 4202/4728/4105 4201/4729/4103 4193/4720/4095 +f 4195/4721/4098 4203/4730/4106 4202/4728/4105 4194/4719/4097 +f 4196/4722/4099 4204/4731/4107 4203/4730/4106 4195/4721/4098 +f 4197/4723/4100 4205/4732/4108 4204/4731/4107 4196/4722/4099 +f 4198/4724/4101 4206/4733/4109 4205/4732/4108 4197/4723/4100 +f 4199/4725/4102 4207/4734/4110 4206/4733/4109 4198/4724/4101 +f 4200/4718/4096 4208/4727/4104 4207/4734/4110 4199/4725/4102 +f 4201/4726/4103 4209/4735/4111 4216/4736/4112 4208/4727/4104 +f 4202/4728/4105 4210/4737/4113 4209/4738/4111 4201/4729/4103 +f 4203/4730/4106 4211/4739/4114 4210/4737/4113 4202/4728/4105 +f 4204/4731/4107 4212/4740/4115 4211/4739/4114 4203/4730/4106 +f 4205/4732/4108 4213/4741/4116 4212/4740/4115 4204/4731/4107 +f 4206/4733/4109 4214/4742/4117 4213/4741/4116 4205/4732/4108 +f 4207/4734/4110 4215/4743/4118 4214/4742/4117 4206/4733/4109 +f 4208/4727/4104 4216/4736/4112 4215/4743/4118 4207/4734/4110 +f 4209/4735/4111 4217/4744/4119 4224/4745/4120 4216/4736/4112 +f 4210/4737/4113 4218/4746/4121 4217/4747/4119 4209/4738/4111 +f 4211/4739/4114 4219/4748/4122 4218/4746/4121 4210/4737/4113 +f 4212/4740/4115 4220/4749/4123 4219/4748/4122 4211/4739/4114 +f 4213/4741/4116 4221/4750/4124 4220/4749/4123 4212/4740/4115 +f 4214/4742/4117 4222/4751/4125 4221/4750/4124 4213/4741/4116 +f 4215/4743/4118 4223/4752/4126 4222/4751/4125 4214/4742/4117 +f 4216/4736/4112 4224/4745/4120 4223/4752/4126 4215/4743/4118 +f 4225/4753/4127 4233/4754/4128 4240/4755/4129 4232/4756/4130 +f 4226/4757/4131 4234/4758/4132 4233/4759/4128 4225/4760/4127 +f 4227/4761/4133 4235/4762/4134 4234/4758/4132 4226/4757/4131 +f 4228/4763/4135 4236/4764/4136 4235/4762/4134 4227/4761/4133 +f 4229/4765/4137 4237/4766/4138 4236/4764/4136 4228/4763/4135 +f 4230/4767/4139 4238/4768/4140 4237/4766/4138 4229/4765/4137 +f 4231/4769/4141 4239/4770/4142 4238/4768/4140 4230/4767/4139 +f 4232/4756/4130 4240/4755/4129 4239/4770/4142 4231/4769/4141 +f 4233/4754/4128 4241/4771/4143 4248/4772/4144 4240/4755/4129 +f 4234/4758/4132 4242/4773/4145 4241/4774/4143 4233/4759/4128 +f 4235/4762/4134 4243/4775/4146 4242/4773/4145 4234/4758/4132 +f 4236/4764/4136 4244/4776/4147 4243/4775/4146 4235/4762/4134 +f 4237/4766/4138 4245/4777/4148 4244/4776/4147 4236/4764/4136 +f 4238/4768/4140 4246/4778/4149 4245/4777/4148 4237/4766/4138 +f 4239/4770/4142 4247/4779/4150 4246/4778/4149 4238/4768/4140 +f 4240/4755/4129 4248/4772/4144 4247/4779/4150 4239/4770/4142 +f 4241/4771/4143 4249/4780/4151 4256/4781/4152 4248/4772/4144 +f 4242/4773/4145 4250/4782/4153 4249/4783/4151 4241/4774/4143 +f 4243/4775/4146 4251/4784/4154 4250/4782/4153 4242/4773/4145 +f 4244/4776/4147 4252/4785/4155 4251/4784/4154 4243/4775/4146 +f 4245/4777/4148 4253/4786/4156 4252/4785/4155 4244/4776/4147 +f 4246/4778/4149 4254/4787/4157 4253/4786/4156 4245/4777/4148 +f 4247/4779/4150 4255/4788/4158 4254/4787/4157 4246/4778/4149 +f 4248/4772/4144 4256/4781/4152 4255/4788/4158 4247/4779/4150 +f 4249/4780/4151 4257/4789/4159 4264/4790/4160 4256/4781/4152 +f 4250/4782/4153 4258/4791/4161 4257/4792/4159 4249/4783/4151 +f 4251/4784/4154 4259/4793/4162 4258/4791/4161 4250/4782/4153 +f 4252/4785/4155 4260/4794/4163 4259/4793/4162 4251/4784/4154 +f 4253/4786/4156 4261/4795/4164 4260/4794/4163 4252/4785/4155 +f 4254/4787/4157 4262/4796/4165 4261/4795/4164 4253/4786/4156 +f 4255/4788/4158 4263/4797/4166 4262/4796/4165 4254/4787/4157 +f 4256/4781/4152 4264/4790/4160 4263/4797/4166 4255/4788/4158 +f 4257/4789/4159 4265/4798/4167 4272/4799/4168 4264/4790/4160 +f 4258/4791/4161 4266/4800/4169 4265/4801/4167 4257/4792/4159 +f 4259/4793/4162 4267/4802/4170 4266/4800/4169 4258/4791/4161 +f 4260/4794/4163 4268/4803/4171 4267/4802/4170 4259/4793/4162 +f 4261/4795/4164 4269/4804/4172 4268/4803/4171 4260/4794/4163 +f 4262/4796/4165 4270/4805/4173 4269/4804/4172 4261/4795/4164 +f 4263/4797/4166 4271/4806/4174 4270/4805/4173 4262/4796/4165 +f 4264/4790/4160 4272/4799/4168 4271/4806/4174 4263/4797/4166 +f 4265/4798/4167 4273/4807/4175 4280/4808/4176 4272/4799/4168 +f 4266/4800/4169 4274/4809/4177 4273/4810/4175 4265/4801/4167 +f 4267/4802/4170 4275/4811/4178 4274/4809/4177 4266/4800/4169 +f 4268/4803/4171 4276/4812/4179 4275/4811/4178 4267/4802/4170 +f 4269/4804/4172 4277/4813/4180 4276/4812/4179 4268/4803/4171 +f 4270/4805/4173 4278/4814/4181 4277/4813/4180 4269/4804/4172 +f 4271/4806/4174 4279/4815/4182 4278/4814/4181 4270/4805/4173 +f 4272/4799/4168 4280/4808/4176 4279/4815/4182 4271/4806/4174 +f 4281/4816/4183 4289/4817/4184 4296/4818/4185 4288/4819/4186 +f 4282/4820/4187 4290/4821/4188 4289/4822/4184 4281/4823/4183 +f 4283/4824/4189 4291/4825/4190 4290/4821/4188 4282/4820/4187 +f 4284/4826/4191 4292/4827/4192 4291/4825/4190 4283/4824/4189 +f 4285/4828/4193 4293/4829/4194 4292/4827/4192 4284/4826/4191 +f 4286/4830/4195 4294/4831/4196 4293/4829/4194 4285/4828/4193 +f 4287/4832/4197 4295/4833/4198 4294/4831/4196 4286/4830/4195 +f 4288/4819/4186 4296/4818/4185 4295/4833/4198 4287/4832/4197 +f 4289/4817/4184 4297/4834/4199 4304/4835/4200 4296/4818/4185 +f 4290/4821/4188 4298/4836/4201 4297/4837/4199 4289/4822/4184 +f 4291/4825/4190 4299/4838/4202 4298/4836/4201 4290/4821/4188 +f 4292/4827/4192 4300/4839/4203 4299/4838/4202 4291/4825/4190 +f 4293/4829/4194 4301/4840/4204 4300/4839/4203 4292/4827/4192 +f 4294/4831/4196 4302/4841/4205 4301/4840/4204 4293/4829/4194 +f 4295/4833/4198 4303/4842/4206 4302/4841/4205 4294/4831/4196 +f 4296/4818/4185 4304/4835/4200 4303/4842/4206 4295/4833/4198 +f 4297/4834/4199 4305/4843/4207 4312/4844/4208 4304/4835/4200 +f 4298/4836/4201 4306/4845/4209 4305/4846/4207 4297/4837/4199 +f 4299/4838/4202 4307/4847/4210 4306/4845/4209 4298/4836/4201 +f 4300/4839/4203 4308/4848/4211 4307/4847/4210 4299/4838/4202 +f 4301/4840/4204 4309/4849/4212 4308/4848/4211 4300/4839/4203 +f 4302/4841/4205 4310/4850/4213 4309/4849/4212 4301/4840/4204 +f 4303/4842/4206 4311/4851/4214 4310/4850/4213 4302/4841/4205 +f 4304/4835/4200 4312/4844/4208 4311/4851/4214 4303/4842/4206 +f 4305/4843/4207 4313/4852/4215 4320/4853/4216 4312/4844/4208 +f 4306/4845/4209 4314/4854/4217 4313/4855/4215 4305/4846/4207 +f 4307/4847/4210 4315/4856/4218 4314/4854/4217 4306/4845/4209 +f 4308/4848/4211 4316/4857/4219 4315/4856/4218 4307/4847/4210 +f 4309/4849/4212 4317/4858/4220 4316/4857/4219 4308/4848/4211 +f 4310/4850/4213 4318/4859/4221 4317/4858/4220 4309/4849/4212 +f 4311/4851/4214 4319/4860/4222 4318/4859/4221 4310/4850/4213 +f 4312/4844/4208 4320/4853/4216 4319/4860/4222 4311/4851/4214 +f 4313/4852/4215 4321/4861/4223 4328/4862/4224 4320/4853/4216 +f 4314/4854/4217 4322/4863/4225 4321/4864/4223 4313/4855/4215 +f 4315/4856/4218 4323/4865/4226 4322/4863/4225 4314/4854/4217 +f 4316/4857/4219 4324/4866/4227 4323/4865/4226 4315/4856/4218 +f 4317/4858/4220 4325/4867/4228 4324/4866/4227 4316/4857/4219 +f 4318/4859/4221 4326/4868/4229 4325/4867/4228 4317/4858/4220 +f 4319/4860/4222 4327/4869/4230 4326/4868/4229 4318/4859/4221 +f 4320/4853/4216 4328/4862/4224 4327/4869/4230 4319/4860/4222 +f 4321/4861/4223 4329/4870/4231 4336/4871/4232 4328/4862/4224 +f 4322/4863/4225 4330/4872/4233 4329/4873/4231 4321/4864/4223 +f 4323/4865/4226 4331/4874/4234 4330/4872/4233 4322/4863/4225 +f 4324/4866/4227 4332/4875/4235 4331/4874/4234 4323/4865/4226 +f 4325/4867/4228 4333/4876/4236 4332/4875/4235 4324/4866/4227 +f 4326/4868/4229 4334/4877/4237 4333/4876/4236 4325/4867/4228 +f 4327/4869/4230 4335/4878/4238 4334/4877/4237 4326/4868/4229 +f 4328/4862/4224 4336/4871/4232 4335/4878/4238 4327/4869/4230 +f 4329/4870/4231 4337/4879/4239 4344/4880/4240 4336/4871/4232 +f 4330/4872/4233 4338/4881/4241 4337/4882/4239 4329/4873/4231 +f 4331/4874/4234 4339/4883/4242 4338/4881/4241 4330/4872/4233 +f 4332/4875/4235 4340/4884/4243 4339/4883/4242 4331/4874/4234 +f 4333/4876/4236 4341/4885/4244 4340/4884/4243 4332/4875/4235 +f 4334/4877/4237 4342/4886/4245 4341/4885/4244 4333/4876/4236 +f 4335/4878/4238 4343/4887/4246 4342/4886/4245 4334/4877/4237 +f 4336/4871/4232 4344/4880/4240 4343/4887/4246 4335/4878/4238 +f 4337/4879/4239 4345/4888/4247 4352/4889/4248 4344/4880/4240 +f 4338/4881/4241 4346/4890/4249 4345/4891/4247 4337/4882/4239 +f 4339/4883/4242 4347/4892/4250 4346/4890/4249 4338/4881/4241 +f 4340/4884/4243 4348/4893/4251 4347/4892/4250 4339/4883/4242 +f 4341/4885/4244 4349/4894/4252 4348/4893/4251 4340/4884/4243 +f 4342/4886/4245 4350/4895/4253 4349/4894/4252 4341/4885/4244 +f 4343/4887/4246 4351/4896/4254 4350/4895/4253 4342/4886/4245 +f 4344/4880/4240 4352/4889/4248 4351/4896/4254 4343/4887/4246 +f 4345/4888/4247 4353/4897/4255 4360/4898/4256 4352/4889/4248 +f 4346/4890/4249 4354/4899/4257 4353/4900/4255 4345/4891/4247 +f 4347/4892/4250 4355/4901/4258 4354/4899/4257 4346/4890/4249 +f 4348/4893/4251 4356/4902/4259 4355/4901/4258 4347/4892/4250 +f 4349/4894/4252 4357/4903/4260 4356/4902/4259 4348/4893/4251 +f 4350/4895/4253 4358/4904/4261 4357/4903/4260 4349/4894/4252 +f 4351/4896/4254 4359/4905/4262 4358/4904/4261 4350/4895/4253 +f 4352/4889/4248 4360/4898/4256 4359/4905/4262 4351/4896/4254 +f 4353/4897/4255 4361/4906/4263 4368/4907/4264 4360/4898/4256 +f 4354/4899/4257 4362/4908/4265 4361/4909/4263 4353/4900/4255 +f 4355/4901/4258 4363/4910/4266 4362/4908/4265 4354/4899/4257 +f 4356/4902/4259 4364/4911/4267 4363/4910/4266 4355/4901/4258 +f 4357/4903/4260 4365/4912/4268 4364/4911/4267 4356/4902/4259 +f 4358/4904/4261 4366/4913/4269 4365/4912/4268 4357/4903/4260 +f 4359/4905/4262 4367/4914/4270 4366/4913/4269 4358/4904/4261 +f 4360/4898/4256 4368/4907/4264 4367/4914/4270 4359/4905/4262 +f 4361/4906/4263 4369/4915/4271 4376/4916/4272 4368/4907/4264 +f 4362/4908/4265 4370/4917/4273 4369/4918/4271 4361/4909/4263 +f 4363/4910/4266 4371/4919/4274 4370/4917/4273 4362/4908/4265 +f 4364/4911/4267 4372/4920/4275 4371/4919/4274 4363/4910/4266 +f 4365/4912/4268 4373/4921/4276 4372/4920/4275 4364/4911/4267 +f 4366/4913/4269 4374/4922/4277 4373/4921/4276 4365/4912/4268 +f 4367/4914/4270 4375/4923/4278 4374/4922/4277 4366/4913/4269 +f 4368/4907/4264 4376/4916/4272 4375/4923/4278 4367/4914/4270 +f 4369/4915/4271 4377/4924/4279 4384/4925/4280 4376/4916/4272 +f 4370/4917/4273 4378/4926/4281 4377/4927/4279 4369/4918/4271 +f 4371/4919/4274 4379/4928/4282 4378/4926/4281 4370/4917/4273 +f 4372/4920/4275 4380/4929/4283 4379/4928/4282 4371/4919/4274 +f 4373/4921/4276 4381/4930/4284 4380/4929/4283 4372/4920/4275 +f 4374/4922/4277 4382/4931/4285 4381/4930/4284 4373/4921/4276 +f 4375/4923/4278 4383/4932/4286 4382/4931/4285 4374/4922/4277 +f 4376/4916/4272 4384/4925/4280 4383/4932/4286 4375/4923/4278 +f 4385/4933/4287 4393/4934/4288 4400/4935/4289 4392/4936/4290 +f 4386/4937/4291 4394/4938/4292 4393/4939/4288 4385/4940/4287 +f 4387/4941/4293 4395/4942/4294 4394/4938/4292 4386/4937/4291 +f 4388/4943/4295 4396/4944/4296 4395/4942/4294 4387/4941/4293 +f 4389/4945/4297 4397/4946/4298 4396/4944/4296 4388/4943/4295 +f 4390/4947/4299 4398/4948/4300 4397/4946/4298 4389/4945/4297 +f 4391/4949/4301 4399/4950/4302 4398/4948/4300 4390/4947/4299 +f 4392/4936/4290 4400/4935/4289 4399/4950/4302 4391/4949/4301 +f 4393/4934/4288 4401/4951/4303 4408/4952/4304 4400/4935/4289 +f 4394/4938/4292 4402/4953/4305 4401/4954/4303 4393/4939/4288 +f 4395/4942/4294 4403/4955/4306 4402/4953/4305 4394/4938/4292 +f 4396/4944/4296 4404/4956/4307 4403/4955/4306 4395/4942/4294 +f 4397/4946/4298 4405/4957/4308 4404/4956/4307 4396/4944/4296 +f 4398/4948/4300 4406/4958/4309 4405/4957/4308 4397/4946/4298 +f 4399/4950/4302 4407/4959/4310 4406/4958/4309 4398/4948/4300 +f 4400/4935/4289 4408/4952/4304 4407/4959/4310 4399/4950/4302 +f 4401/4951/4303 4409/4960/4311 4416/4961/4312 4408/4952/4304 +f 4402/4953/4305 4410/4962/4313 4409/4963/4311 4401/4954/4303 +f 4403/4955/4306 4411/4964/4314 4410/4962/4313 4402/4953/4305 +f 4404/4956/4307 4412/4965/4315 4411/4964/4314 4403/4955/4306 +f 4405/4957/4308 4413/4966/4316 4412/4965/4315 4404/4956/4307 +f 4406/4958/4309 4414/4967/4317 4413/4966/4316 4405/4957/4308 +f 4407/4959/4310 4415/4968/4318 4414/4967/4317 4406/4958/4309 +f 4408/4952/4304 4416/4961/4312 4415/4968/4318 4407/4959/4310 +f 4409/4960/4311 4417/4969/4319 4424/4970/4320 4416/4961/4312 +f 4410/4962/4313 4418/4971/4321 4417/4972/4319 4409/4963/4311 +f 4411/4964/4314 4419/4973/4322 4418/4971/4321 4410/4962/4313 +f 4412/4965/4315 4420/4974/4323 4419/4973/4322 4411/4964/4314 +f 4413/4966/4316 4421/4975/4324 4420/4974/4323 4412/4965/4315 +f 4414/4967/4317 4422/4976/4325 4421/4975/4324 4413/4966/4316 +f 4415/4968/4318 4423/4977/4326 4422/4976/4325 4414/4967/4317 +f 4416/4961/4312 4424/4970/4320 4423/4977/4326 4415/4968/4318 +f 4417/4969/4319 4425/4978/4327 4432/4979/4328 4424/4970/4320 +f 4418/4971/4321 4426/4980/4329 4425/4981/4327 4417/4972/4319 +f 4419/4973/4322 4427/4982/4330 4426/4980/4329 4418/4971/4321 +f 4420/4974/4323 4428/4983/4331 4427/4982/4330 4419/4973/4322 +f 4421/4975/4324 4429/4984/4332 4428/4983/4331 4420/4974/4323 +f 4422/4976/4325 4430/4985/4333 4429/4984/4332 4421/4975/4324 +f 4423/4977/4326 4431/4986/4334 4430/4985/4333 4422/4976/4325 +f 4424/4970/4320 4432/4979/4328 4431/4986/4334 4423/4977/4326 +f 4425/4978/4327 4433/4987/4335 4440/4988/4336 4432/4979/4328 +f 4426/4980/4329 4434/4989/4337 4433/4990/4335 4425/4981/4327 +f 4427/4982/4330 4435/4991/4338 4434/4989/4337 4426/4980/4329 +f 4428/4983/4331 4436/4992/4339 4435/4991/4338 4427/4982/4330 +f 4429/4984/4332 4437/4993/4340 4436/4992/4339 4428/4983/4331 +f 4430/4985/4333 4438/4994/4341 4437/4993/4340 4429/4984/4332 +f 4431/4986/4334 4439/4995/4342 4438/4994/4341 4430/4985/4333 +f 4432/4979/4328 4440/4988/4336 4439/4995/4342 4431/4986/4334 +f 4441/4996/4343 4449/4997/4344 4456/4998/4345 4448/4999/4346 +f 4442/5000/4347 4450/5001/4348 4449/5002/4344 4441/5003/4343 +f 4443/5004/4349 4451/5005/4350 4450/5001/4348 4442/5000/4347 +f 4444/5006/4351 4452/5007/4352 4451/5005/4350 4443/5004/4349 +f 4445/5008/4353 4453/5009/4354 4452/5007/4352 4444/5006/4351 +f 4446/5010/4355 4454/5011/4356 4453/5009/4354 4445/5008/4353 +f 4447/5012/4357 4455/5013/4358 4454/5011/4356 4446/5010/4355 +f 4448/4999/4346 4456/4998/4345 4455/5013/4358 4447/5012/4357 +f 4449/4997/4344 4457/5014/4359 4464/5015/4360 4456/4998/4345 +f 4450/5001/4348 4458/5016/4361 4457/5017/4359 4449/5002/4344 +f 4451/5005/4350 4459/5018/4362 4458/5016/4361 4450/5001/4348 +f 4452/5007/4352 4460/5019/4363 4459/5018/4362 4451/5005/4350 +f 4453/5009/4354 4461/5020/4364 4460/5019/4363 4452/5007/4352 +f 4454/5011/4356 4462/5021/4365 4461/5020/4364 4453/5009/4354 +f 4455/5013/4358 4463/5022/4366 4462/5021/4365 4454/5011/4356 +f 4456/4998/4345 4464/5015/4360 4463/5022/4366 4455/5013/4358 +f 4457/5014/4359 4465/5023/4367 4472/5024/4368 4464/5015/4360 +f 4458/5016/4361 4466/5025/4369 4465/5026/4367 4457/5017/4359 +f 4459/5018/4362 4467/5027/4370 4466/5025/4369 4458/5016/4361 +f 4460/5019/4363 4468/5028/4371 4467/5027/4370 4459/5018/4362 +f 4461/5020/4364 4469/5029/4372 4468/5028/4371 4460/5019/4363 +f 4462/5021/4365 4470/5030/4373 4469/5029/4372 4461/5020/4364 +f 4463/5022/4366 4471/5031/4374 4470/5030/4373 4462/5021/4365 +f 4464/5015/4360 4472/5024/4368 4471/5031/4374 4463/5022/4366 +f 4465/5023/4367 4473/5032/4375 4480/5033/4376 4472/5024/4368 +f 4466/5025/4369 4474/5034/4377 4473/5035/4375 4465/5026/4367 +f 4467/5027/4370 4475/5036/4378 4474/5034/4377 4466/5025/4369 +f 4468/5028/4371 4476/5037/4379 4475/5036/4378 4467/5027/4370 +f 4469/5029/4372 4477/5038/4380 4476/5037/4379 4468/5028/4371 +f 4470/5030/4373 4478/5039/4381 4477/5038/4380 4469/5029/4372 +f 4471/5031/4374 4479/5040/4382 4478/5039/4381 4470/5030/4373 +f 4472/5024/4368 4480/5033/4376 4479/5040/4382 4471/5031/4374 +f 4473/5032/4375 4481/5041/4383 4488/5042/4384 4480/5033/4376 +f 4474/5034/4377 4482/5043/4385 4481/5044/4383 4473/5035/4375 +f 4475/5036/4378 4483/5045/4386 4482/5043/4385 4474/5034/4377 +f 4476/5037/4379 4484/5046/4387 4483/5045/4386 4475/5036/4378 +f 4477/5038/4380 4485/5047/4388 4484/5046/4387 4476/5037/4379 +f 4478/5039/4381 4486/5048/4389 4485/5047/4388 4477/5038/4380 +f 4479/5040/4382 4487/5049/4390 4486/5048/4389 4478/5039/4381 +f 4480/5033/4376 4488/5042/4384 4487/5049/4390 4479/5040/4382 +f 4481/5041/4383 4489/5050/4391 4496/5051/4392 4488/5042/4384 +f 4482/5043/4385 4490/5052/4393 4489/5053/4391 4481/5044/4383 +f 4483/5045/4386 4491/5054/4394 4490/5052/4393 4482/5043/4385 +f 4484/5046/4387 4492/5055/4395 4491/5054/4394 4483/5045/4386 +f 4485/5047/4388 4493/5056/4396 4492/5055/4395 4484/5046/4387 +f 4486/5048/4389 4494/5057/4397 4493/5056/4396 4485/5047/4388 +f 4487/5049/4390 4495/5058/4398 4494/5057/4397 4486/5048/4389 +f 4488/5042/4384 4496/5051/4392 4495/5058/4398 4487/5049/4390 +f 4489/5050/4391 4497/5059/4399 4504/5060/4400 4496/5051/4392 +f 4490/5052/4393 4498/5061/4401 4497/5062/4399 4489/5053/4391 +f 4491/5054/4394 4499/5063/4402 4498/5061/4401 4490/5052/4393 +f 4492/5055/4395 4500/5064/4403 4499/5063/4402 4491/5054/4394 +f 4493/5056/4396 4501/5065/4404 4500/5064/4403 4492/5055/4395 +f 4494/5057/4397 4502/5066/4405 4501/5065/4404 4493/5056/4396 +f 4495/5058/4398 4503/5067/4406 4502/5066/4405 4494/5057/4397 +f 4496/5051/4392 4504/5060/4400 4503/5067/4406 4495/5058/4398 +f 4497/5059/4399 4505/5068/4407 4512/5069/4408 4504/5060/4400 +f 4498/5061/4401 4506/5070/4409 4505/5071/4407 4497/5062/4399 +f 4499/5063/4402 4507/5072/4410 4506/5070/4409 4498/5061/4401 +f 4500/5064/4403 4508/5073/4411 4507/5072/4410 4499/5063/4402 +f 4501/5065/4404 4509/5074/4412 4508/5073/4411 4500/5064/4403 +f 4502/5066/4405 4510/5075/4413 4509/5074/4412 4501/5065/4404 +f 4503/5067/4406 4511/5076/4414 4510/5075/4413 4502/5066/4405 +f 4504/5060/4400 4512/5069/4408 4511/5076/4414 4503/5067/4406 +f 4505/5068/4407 4513/5077/4415 4520/5078/4416 4512/5069/4408 +f 4506/5070/4409 4514/5079/4417 4513/5080/4415 4505/5071/4407 +f 4507/5072/4410 4515/5081/4418 4514/5079/4417 4506/5070/4409 +f 4508/5073/4411 4516/5082/4419 4515/5081/4418 4507/5072/4410 +f 4509/5074/4412 4517/5083/4420 4516/5082/4419 4508/5073/4411 +f 4510/5075/4413 4518/5084/4421 4517/5083/4420 4509/5074/4412 +f 4511/5076/4414 4519/5085/4422 4518/5084/4421 4510/5075/4413 +f 4512/5069/4408 4520/5078/4416 4519/5085/4422 4511/5076/4414 +f 4521/5086/4423 4529/5087/4423 4536/5088/4424 4528/5089/4424 +f 4522/5090/4425 4530/5091/4425 4529/5092/4423 4521/5093/4423 +f 4523/5094/4426 4531/5095/4426 4530/5091/4425 4522/5090/4425 +f 4524/5096/4427 4532/5097/4428 4531/5095/4426 4523/5094/4426 +f 4525/5098/4429 4533/5099/4430 4532/5097/4428 4524/5096/4427 +f 4526/5100/4431 4534/5101/4431 4533/5099/4430 4525/5098/4429 +f 4527/5102/4432 4535/5103/4432 4534/5101/4431 4526/5100/4431 +f 4528/5089/4424 4536/5088/4424 4535/5103/4432 4527/5102/4432 +f 4529/5087/4423 4537/5104/4433 4544/5105/4424 4536/5088/4424 +f 4530/5091/4425 4538/5106/4434 4537/5107/4433 4529/5092/4423 +f 4531/5095/4426 4539/5108/4435 4538/5106/4434 4530/5091/4425 +f 4532/5097/4428 4540/5109/4427 4539/5108/4435 4531/5095/4426 +f 4533/5099/4430 4541/5110/4436 4540/5109/4427 4532/5097/4428 +f 4534/5101/4431 4542/5111/4431 4541/5110/4436 4533/5099/4430 +f 4535/5103/4432 4543/5112/4437 4542/5111/4431 4534/5101/4431 +f 4536/5088/4424 4544/5105/4424 4543/5112/4437 4535/5103/4432 +f 4537/5104/4433 4545/5113/4433 4552/5114/4438 4544/5105/4424 +f 4538/5106/4434 4546/5115/4434 4545/5116/4433 4537/5107/4433 +f 4539/5108/4435 4547/5117/4439 4546/5115/4434 4538/5106/4434 +f 4540/5109/4427 4548/5118/4440 4547/5117/4439 4539/5108/4435 +f 4541/5110/4436 4549/5119/4441 4548/5118/4440 4540/5109/4427 +f 4542/5111/4431 4550/5120/4442 4549/5119/4441 4541/5110/4436 +f 4543/5112/4437 4551/5121/4443 4550/5120/4442 4542/5111/4431 +f 4544/5105/4424 4552/5114/4438 4551/5121/4443 4543/5112/4437 +f 4553/5122/4444 4561/5123/4444 4568/5124/4445 4560/5125/4445 +f 4554/5126/4446 4562/5127/4446 4561/5128/4444 4553/5129/4444 +f 4555/5130/4447 4563/5131/4448 4562/5127/4446 4554/5126/4446 +f 4556/5132/4449 4564/5133/4449 4563/5131/4448 4555/5130/4447 +f 4557/5134/4450 4565/5135/4451 4564/5133/4449 4556/5132/4449 +f 4558/5136/4452 4566/5137/4452 4565/5135/4451 4557/5134/4450 +f 4559/5138/4453 4567/5139/4453 4566/5137/4452 4558/5136/4452 +f 4560/5125/4445 4568/5124/4445 4567/5139/4453 4559/5138/4453 +f 4561/5123/4444 4569/5140/4454 4576/5141/4445 4568/5124/4445 +f 4562/5127/4446 4570/5142/4455 4569/5143/4454 4561/5128/4444 +f 4563/5131/4448 4571/5144/4448 4570/5142/4455 4562/5127/4446 +f 4564/5133/4449 4572/5145/4456 4571/5144/4448 4563/5131/4448 +f 4565/5135/4451 4573/5146/4451 4572/5145/4456 4564/5133/4449 +f 4566/5137/4452 4574/5147/4457 4573/5146/4451 4565/5135/4451 +f 4567/5139/4453 4575/5148/4458 4574/5147/4457 4566/5137/4452 +f 4568/5124/4445 4576/5141/4445 4575/5148/4458 4567/5139/4453 +f 4569/5140/4454 4577/5149/4454 4584/5150/4459 4576/5141/4445 +f 4570/5142/4455 4578/5151/4460 4577/5152/4454 4569/5143/4454 +f 4571/5144/4448 4579/5153/4461 4578/5151/4460 4570/5142/4455 +f 4572/5145/4456 4580/5154/4456 4579/5153/4461 4571/5144/4448 +f 4573/5146/4451 4581/5155/4462 4580/5154/4456 4572/5145/4456 +f 4574/5147/4457 4582/5156/4463 4581/5155/4462 4573/5146/4451 +f 4575/5148/4458 4583/5157/4464 4582/5156/4463 4574/5147/4457 +f 4576/5141/4445 4584/5150/4459 4583/5157/4464 4575/5148/4458 +f 4585/5158/4465 4593/5159/4466 4600/5160/4467 4592/5161/4468 +f 4586/5162/4469 4594/5163/4470 4593/5164/4466 4585/5165/4465 +f 4587/5166/4471 4595/5167/4472 4594/5163/4470 4586/5162/4469 +f 4588/5168/4473 4596/5169/4474 4595/5167/4472 4587/5166/4471 +f 4589/5170/4475 4597/5171/4476 4596/5169/4474 4588/5168/4473 +f 4590/5172/4477 4598/5173/4478 4597/5171/4476 4589/5170/4475 +f 4591/5174/4479 4599/5175/4480 4598/5173/4478 4590/5172/4477 +f 4592/5161/4468 4600/5160/4467 4599/5175/4480 4591/5174/4479 +f 4593/5159/4466 4601/5176/4481 4608/5177/4482 4600/5160/4467 +f 4594/5163/4470 4602/5178/4483 4601/5179/4481 4593/5164/4466 +f 4595/5167/4472 4603/5180/4484 4602/5178/4483 4594/5163/4470 +f 4596/5169/4474 4604/5181/4485 4603/5180/4484 4595/5167/4472 +f 4597/5171/4476 4605/5182/4486 4604/5181/4485 4596/5169/4474 +f 4598/5173/4478 4606/5183/4487 4605/5182/4486 4597/5171/4476 +f 4599/5175/4480 4607/5184/4488 4606/5183/4487 4598/5173/4478 +f 4600/5160/4467 4608/5177/4482 4607/5184/4488 4599/5175/4480 +f 4601/5176/4481 4609/5185/4489 4616/5186/4490 4608/5177/4482 +f 4602/5178/4483 4610/5187/4491 4609/5188/4489 4601/5179/4481 +f 4603/5180/4484 4611/5189/4492 4610/5187/4491 4602/5178/4483 +f 4604/5181/4485 4612/5190/4493 4611/5189/4492 4603/5180/4484 +f 4605/5182/4486 4613/5191/4494 4612/5190/4493 4604/5181/4485 +f 4606/5183/4487 4614/5192/4495 4613/5191/4494 4605/5182/4486 +f 4607/5184/4488 4615/5193/4496 4614/5192/4495 4606/5183/4487 +f 4608/5177/4482 4616/5186/4490 4615/5193/4496 4607/5184/4488 +f 4609/5185/4489 4617/5194/4497 4624/5195/4498 4616/5186/4490 +f 4610/5187/4491 4618/5196/4499 4617/5197/4497 4609/5188/4489 +f 4611/5189/4492 4619/5198/4500 4618/5196/4499 4610/5187/4491 +f 4612/5190/4493 4620/5199/4501 4619/5198/4500 4611/5189/4492 +f 4613/5191/4494 4621/5200/4502 4620/5199/4501 4612/5190/4493 +f 4614/5192/4495 4622/5201/4503 4621/5200/4502 4613/5191/4494 +f 4615/5193/4496 4623/5202/4504 4622/5201/4503 4614/5192/4495 +f 4616/5186/4490 4624/5195/4498 4623/5202/4504 4615/5193/4496 +f 4617/5194/4497 4625/5203/4505 4632/5204/4506 4624/5195/4498 +f 4618/5196/4499 4626/5205/4507 4625/5206/4505 4617/5197/4497 +f 4619/5198/4500 4627/5207/4508 4626/5205/4507 4618/5196/4499 +f 4620/5199/4501 4628/5208/4509 4627/5207/4508 4619/5198/4500 +f 4621/5200/4502 4629/5209/4510 4628/5208/4509 4620/5199/4501 +f 4622/5201/4503 4630/5210/4511 4629/5209/4510 4621/5200/4502 +f 4623/5202/4504 4631/5211/4512 4630/5210/4511 4622/5201/4503 +f 4624/5195/4498 4632/5204/4506 4631/5211/4512 4623/5202/4504 +f 4625/5203/4505 4633/5212/4513 4640/5213/4514 4632/5204/4506 +f 4626/5205/4507 4634/5214/4515 4633/5215/4513 4625/5206/4505 +f 4627/5207/4508 4635/5216/4516 4634/5214/4515 4626/5205/4507 +f 4628/5208/4509 4636/5217/4517 4635/5216/4516 4627/5207/4508 +f 4629/5209/4510 4637/5218/4518 4636/5217/4517 4628/5208/4509 +f 4630/5210/4511 4638/5219/4519 4637/5218/4518 4629/5209/4510 +f 4631/5211/4512 4639/5220/4520 4638/5219/4519 4630/5210/4511 +f 4632/5204/4506 4640/5213/4514 4639/5220/4520 4631/5211/4512 +f 4633/5212/4513 4641/5221/4521 4648/5222/4522 4640/5213/4514 +f 4634/5214/4515 4642/5223/4523 4641/5224/4521 4633/5215/4513 +f 4635/5216/4516 4643/5225/4524 4642/5223/4523 4634/5214/4515 +f 4636/5217/4517 4644/5226/4525 4643/5225/4524 4635/5216/4516 +f 4637/5218/4518 4645/5227/4526 4644/5226/4525 4636/5217/4517 +f 4638/5219/4519 4646/5228/4527 4645/5227/4526 4637/5218/4518 +f 4639/5220/4520 4647/5229/4528 4646/5228/4527 4638/5219/4519 +f 4640/5213/4514 4648/5222/4522 4647/5229/4528 4639/5220/4520 +f 4641/5221/4521 4649/5230/4529 4656/5231/4530 4648/5222/4522 +f 4642/5223/4523 4650/5232/4531 4649/5233/4529 4641/5224/4521 +f 4643/5225/4524 4651/5234/4532 4650/5232/4531 4642/5223/4523 +f 4644/5226/4525 4652/5235/4533 4651/5234/4532 4643/5225/4524 +f 4645/5227/4526 4653/5236/4534 4652/5235/4533 4644/5226/4525 +f 4646/5228/4527 4654/5237/4535 4653/5236/4534 4645/5227/4526 +f 4647/5229/4528 4655/5238/4536 4654/5237/4535 4646/5228/4527 +f 4648/5222/4522 4656/5231/4530 4655/5238/4536 4647/5229/4528 +f 4649/5230/4529 4657/5239/4537 4664/5240/4538 4656/5231/4530 +f 4650/5232/4531 4658/5241/4539 4657/5242/4537 4649/5233/4529 +f 4651/5234/4532 4659/5243/4540 4658/5241/4539 4650/5232/4531 +f 4652/5235/4533 4660/5244/4541 4659/5243/4540 4651/5234/4532 +f 4653/5236/4534 4661/5245/4542 4660/5244/4541 4652/5235/4533 +f 4654/5237/4535 4662/5246/4543 4661/5245/4542 4653/5236/4534 +f 4655/5238/4536 4663/5247/4544 4662/5246/4543 4654/5237/4535 +f 4656/5231/4530 4664/5240/4538 4663/5247/4544 4655/5238/4536 +f 4657/5239/4537 4665/5248/4545 4672/5249/4546 4664/5240/4538 +f 4658/5241/4539 4666/5250/4547 4665/5251/4545 4657/5242/4537 +f 4659/5243/4540 4667/5252/4548 4666/5250/4547 4658/5241/4539 +f 4660/5244/4541 4668/5253/4549 4667/5252/4548 4659/5243/4540 +f 4661/5245/4542 4669/5254/4550 4668/5253/4549 4660/5244/4541 +f 4662/5246/4543 4670/5255/4551 4669/5254/4550 4661/5245/4542 +f 4663/5247/4544 4671/5256/4552 4670/5255/4551 4662/5246/4543 +f 4664/5240/4538 4672/5249/4546 4671/5256/4552 4663/5247/4544 +f 4665/5248/4545 4673/5257/4553 4680/5258/4554 4672/5249/4546 +f 4666/5250/4547 4674/5259/4555 4673/5260/4553 4665/5251/4545 +f 4667/5252/4548 4675/5261/4556 4674/5259/4555 4666/5250/4547 +f 4668/5253/4549 4676/5262/4557 4675/5261/4556 4667/5252/4548 +f 4669/5254/4550 4677/5263/4558 4676/5262/4557 4668/5253/4549 +f 4670/5255/4551 4678/5264/4559 4677/5263/4558 4669/5254/4550 +f 4671/5256/4552 4679/5265/4560 4678/5264/4559 4670/5255/4551 +f 4672/5249/4546 4680/5258/4554 4679/5265/4560 4671/5256/4552 +f 4673/5257/4553 4681/5266/4561 4688/5267/4562 4680/5258/4554 +f 4674/5259/4555 4682/5268/4563 4681/5269/4561 4673/5260/4553 +f 4675/5261/4556 4683/5270/4564 4682/5268/4563 4674/5259/4555 +f 4676/5262/4557 4684/5271/4565 4683/5270/4564 4675/5261/4556 +f 4677/5263/4558 4685/5272/4566 4684/5271/4565 4676/5262/4557 +f 4678/5264/4559 4686/5273/4567 4685/5272/4566 4677/5263/4558 +f 4679/5265/4560 4687/5274/4568 4686/5273/4567 4678/5264/4559 +f 4680/5258/4554 4688/5267/4562 4687/5274/4568 4679/5265/4560 +f 4689/5275/4569 4697/5276/4570 4704/5277/4571 4696/5278/4572 +f 4690/5279/4573 4698/5280/4574 4697/5281/4570 4689/5282/4569 +f 4691/5283/4575 4699/5284/4576 4698/5280/4574 4690/5279/4573 +f 4692/5285/4577 4700/5286/4578 4699/5284/4576 4691/5283/4575 +f 4693/5287/4579 4701/5288/4580 4700/5286/4578 4692/5285/4577 +f 4694/5289/4581 4702/5290/4582 4701/5288/4580 4693/5287/4579 +f 4695/5291/4583 4703/5292/4584 4702/5290/4582 4694/5289/4581 +f 4696/5278/4572 4704/5277/4571 4703/5292/4584 4695/5291/4583 +f 4697/5276/4570 4705/5293/4585 4712/5294/4586 4704/5277/4571 +f 4698/5280/4574 4706/5295/4587 4705/5296/4585 4697/5281/4570 +f 4699/5284/4576 4707/5297/4588 4706/5295/4587 4698/5280/4574 +f 4700/5286/4578 4708/5298/4589 4707/5297/4588 4699/5284/4576 +f 4701/5288/4580 4709/5299/4590 4708/5298/4589 4700/5286/4578 +f 4702/5290/4582 4710/5300/4591 4709/5299/4590 4701/5288/4580 +f 4703/5292/4584 4711/5301/4592 4710/5300/4591 4702/5290/4582 +f 4704/5277/4571 4712/5294/4586 4711/5301/4592 4703/5292/4584 +f 4705/5293/4585 4713/5302/4593 4720/5303/4594 4712/5294/4586 +f 4706/5295/4587 4714/5304/4595 4713/5305/4593 4705/5296/4585 +f 4707/5297/4588 4715/5306/4596 4714/5304/4595 4706/5295/4587 +f 4708/5298/4589 4716/5307/4597 4715/5306/4596 4707/5297/4588 +f 4709/5299/4590 4717/5308/4598 4716/5307/4597 4708/5298/4589 +f 4710/5300/4591 4718/5309/4599 4717/5308/4598 4709/5299/4590 +f 4711/5301/4592 4719/5310/4600 4718/5309/4599 4710/5300/4591 +f 4712/5294/4586 4720/5303/4594 4719/5310/4600 4711/5301/4592 +f 4713/5302/4593 4721/5311/4601 4728/5312/4602 4720/5303/4594 +f 4714/5304/4595 4722/5313/4603 4721/5314/4601 4713/5305/4593 +f 4715/5306/4596 4723/5315/4604 4722/5313/4603 4714/5304/4595 +f 4716/5307/4597 4724/5316/4605 4723/5315/4604 4715/5306/4596 +f 4717/5308/4598 4725/5317/4606 4724/5316/4605 4716/5307/4597 +f 4718/5309/4599 4726/5318/4607 4725/5317/4606 4717/5308/4598 +f 4719/5310/4600 4727/5319/4608 4726/5318/4607 4718/5309/4599 +f 4720/5303/4594 4728/5312/4602 4727/5319/4608 4719/5310/4600 +f 4721/5311/4601 4729/5320/4609 4736/5321/4610 4728/5312/4602 +f 4722/5313/4603 4730/5322/4611 4729/5323/4609 4721/5314/4601 +f 4723/5315/4604 4731/5324/4612 4730/5322/4611 4722/5313/4603 +f 4724/5316/4605 4732/5325/4613 4731/5324/4612 4723/5315/4604 +f 4725/5317/4606 4733/5326/4614 4732/5325/4613 4724/5316/4605 +f 4726/5318/4607 4734/5327/4615 4733/5326/4614 4725/5317/4606 +f 4727/5319/4608 4735/5328/4616 4734/5327/4615 4726/5318/4607 +f 4728/5312/4602 4736/5321/4610 4735/5328/4616 4727/5319/4608 +f 4729/5320/4609 4737/5329/4617 4744/5330/4618 4736/5321/4610 +f 4730/5322/4611 4738/5331/4619 4737/5332/4617 4729/5323/4609 +f 4731/5324/4612 4739/5333/4620 4738/5331/4619 4730/5322/4611 +f 4732/5325/4613 4740/5334/4621 4739/5333/4620 4731/5324/4612 +f 4733/5326/4614 4741/5335/4622 4740/5334/4621 4732/5325/4613 +f 4734/5327/4615 4742/5336/4623 4741/5335/4622 4733/5326/4614 +f 4735/5328/4616 4743/5337/4624 4742/5336/4623 4734/5327/4615 +f 4736/5321/4610 4744/5330/4618 4743/5337/4624 4735/5328/4616 +f 4737/5329/4617 4745/5338/4625 4752/5339/4626 4744/5330/4618 +f 4738/5331/4619 4746/5340/4627 4745/5341/4625 4737/5332/4617 +f 4739/5333/4620 4747/5342/4628 4746/5340/4627 4738/5331/4619 +f 4740/5334/4621 4748/5343/4629 4747/5342/4628 4739/5333/4620 +f 4741/5335/4622 4749/5344/4630 4748/5343/4629 4740/5334/4621 +f 4742/5336/4623 4750/5345/4631 4749/5344/4630 4741/5335/4622 +f 4743/5337/4624 4751/5346/4632 4750/5345/4631 4742/5336/4623 +f 4744/5330/4618 4752/5339/4626 4751/5346/4632 4743/5337/4624 +f 4745/5338/4625 4753/5347/4633 4760/5348/4634 4752/5339/4626 +f 4746/5340/4627 4754/5349/4635 4753/5350/4633 4745/5341/4625 +f 4747/5342/4628 4755/5351/4636 4754/5349/4635 4746/5340/4627 +f 4748/5343/4629 4756/5352/4637 4755/5351/4636 4747/5342/4628 +f 4749/5344/4630 4757/5353/4638 4756/5352/4637 4748/5343/4629 +f 4750/5345/4631 4758/5354/4639 4757/5353/4638 4749/5344/4630 +f 4751/5346/4632 4759/5355/4640 4758/5354/4639 4750/5345/4631 +f 4752/5339/4626 4760/5348/4634 4759/5355/4640 4751/5346/4632 +f 4753/5347/4633 4761/5356/4641 4768/5357/4642 4760/5348/4634 +f 4754/5349/4635 4762/5358/4643 4761/5359/4641 4753/5350/4633 +f 4755/5351/4636 4763/5360/4644 4762/5358/4643 4754/5349/4635 +f 4756/5352/4637 4764/5361/4645 4763/5360/4644 4755/5351/4636 +f 4757/5353/4638 4765/5362/4646 4764/5361/4645 4756/5352/4637 +f 4758/5354/4639 4766/5363/4647 4765/5362/4646 4757/5353/4638 +f 4759/5355/4640 4767/5364/4648 4766/5363/4647 4758/5354/4639 +f 4760/5348/4634 4768/5357/4642 4767/5364/4648 4759/5355/4640 +f 4769/5365/4649 4777/5366/4649 4784/5367/4650 4776/5368/4650 +f 4770/5369/4651 4778/5370/4651 4777/5371/4649 4769/5372/4649 +f 4771/5373/4652 4779/5374/4653 4778/5370/4651 4770/5369/4651 +f 4772/5375/4654 4780/5376/4654 4779/5374/4653 4771/5373/4652 +f 4773/5377/4655 4781/5378/4655 4780/5376/4654 4772/5375/4654 +f 4774/5379/4656 4782/5380/4656 4781/5378/4655 4773/5377/4655 +f 4775/5381/4657 4783/5382/4658 4782/5380/4656 4774/5379/4656 +f 4776/5368/4650 4784/5367/4650 4783/5382/4658 4775/5381/4657 +f 4777/5366/4649 4785/5383/4659 4792/5384/4650 4784/5367/4650 +f 4778/5370/4651 4786/5385/4660 4785/5386/4659 4777/5371/4649 +f 4779/5374/4653 4787/5387/4661 4786/5385/4660 4778/5370/4651 +f 4780/5376/4654 4788/5388/4654 4787/5387/4661 4779/5374/4653 +f 4781/5378/4655 4789/5389/4662 4788/5388/4654 4780/5376/4654 +f 4782/5380/4656 4790/5390/4663 4789/5389/4662 4781/5378/4655 +f 4783/5382/4658 4791/5391/4658 4790/5390/4663 4782/5380/4656 +f 4784/5367/4650 4792/5384/4650 4791/5391/4658 4783/5382/4658 +f 4785/5383/4659 4793/5392/4664 4800/5393/4665 4792/5384/4650 +f 4786/5385/4660 4794/5394/4660 4793/5395/4664 4785/5386/4659 +f 4787/5387/4661 4795/5396/4666 4794/5394/4660 4786/5385/4660 +f 4788/5388/4654 4796/5397/4667 4795/5396/4666 4787/5387/4661 +f 4789/5389/4662 4797/5398/4662 4796/5397/4667 4788/5388/4654 +f 4790/5390/4663 4798/5399/4663 4797/5398/4662 4789/5389/4662 +f 4791/5391/4658 4799/5400/4668 4798/5399/4663 4790/5390/4663 +f 4792/5384/4650 4800/5393/4665 4799/5400/4668 4791/5391/4658 +f 4801/5401/4669 4809/5402/4670 4816/5403/4671 4808/5404/4672 +f 4802/5405/4673 4810/5406/4674 4809/5407/4670 4801/5408/4669 +f 4803/5409/4675 4811/5410/4676 4810/5406/4674 4802/5405/4673 +f 4804/5411/4677 4812/5412/4678 4811/5410/4676 4803/5409/4675 +f 4805/5413/4679 4813/5414/4680 4812/5412/4678 4804/5411/4677 +f 4806/5415/4681 4814/5416/4682 4813/5414/4680 4805/5413/4679 +f 4807/5417/4683 4815/5418/4684 4814/5416/4682 4806/5415/4681 +f 4808/5404/4672 4816/5403/4671 4815/5418/4684 4807/5417/4683 +f 4809/5402/4670 4817/5419/4685 4824/5420/4686 4816/5403/4671 +f 4810/5406/4674 4818/5421/4687 4817/5422/4685 4809/5407/4670 +f 4811/5410/4676 4819/5423/4688 4818/5421/4687 4810/5406/4674 +f 4812/5412/4678 4820/5424/4689 4819/5423/4688 4811/5410/4676 +f 4813/5414/4680 4821/5425/4690 4820/5424/4689 4812/5412/4678 +f 4814/5416/4682 4822/5426/4691 4821/5425/4690 4813/5414/4680 +f 4815/5418/4684 4823/5427/4692 4822/5426/4691 4814/5416/4682 +f 4816/5403/4671 4824/5420/4686 4823/5427/4692 4815/5418/4684 +f 4817/5419/4685 4825/5428/4693 4832/5429/4694 4824/5420/4686 +f 4818/5421/4687 4826/5430/4695 4825/5431/4693 4817/5422/4685 +f 4819/5423/4688 4827/5432/4696 4826/5430/4695 4818/5421/4687 +f 4820/5424/4689 4828/5433/4697 4827/5432/4696 4819/5423/4688 +f 4821/5425/4690 4829/5434/4698 4828/5433/4697 4820/5424/4689 +f 4822/5426/4691 4830/5435/4699 4829/5434/4698 4821/5425/4690 +f 4823/5427/4692 4831/5436/4700 4830/5435/4699 4822/5426/4691 +f 4824/5420/4686 4832/5429/4694 4831/5436/4700 4823/5427/4692 +f 4825/5428/4693 4833/5437/4701 4840/5438/4702 4832/5429/4694 +f 4826/5430/4695 4834/5439/4703 4833/5440/4701 4825/5431/4693 +f 4827/5432/4696 4835/5441/4704 4834/5439/4703 4826/5430/4695 +f 4828/5433/4697 4836/5442/4705 4835/5441/4704 4827/5432/4696 +f 4829/5434/4698 4837/5443/4706 4836/5442/4705 4828/5433/4697 +f 4830/5435/4699 4838/5444/4707 4837/5443/4706 4829/5434/4698 +f 4831/5436/4700 4839/5445/4708 4838/5444/4707 4830/5435/4699 +f 4832/5429/4694 4840/5438/4702 4839/5445/4708 4831/5436/4700 +f 4833/5437/4701 4841/5446/4709 4848/5447/4710 4840/5438/4702 +f 4834/5439/4703 4842/5448/4711 4841/5449/4709 4833/5440/4701 +f 4835/5441/4704 4843/5450/4712 4842/5448/4711 4834/5439/4703 +f 4836/5442/4705 4844/5451/4713 4843/5450/4712 4835/5441/4704 +f 4837/5443/4706 4845/5452/4714 4844/5451/4713 4836/5442/4705 +f 4838/5444/4707 4846/5453/4715 4845/5452/4714 4837/5443/4706 +f 4839/5445/4708 4847/5454/4716 4846/5453/4715 4838/5444/4707 +f 4840/5438/4702 4848/5447/4710 4847/5454/4716 4839/5445/4708 +f 4841/5446/4709 4849/5455/4717 4856/5456/4718 4848/5447/4710 +f 4842/5448/4711 4850/5457/4719 4849/5458/4717 4841/5449/4709 +f 4843/5450/4712 4851/5459/4720 4850/5457/4719 4842/5448/4711 +f 4844/5451/4713 4852/5460/4721 4851/5459/4720 4843/5450/4712 +f 4845/5452/4714 4853/5461/4722 4852/5460/4721 4844/5451/4713 +f 4846/5453/4715 4854/5462/4723 4853/5461/4722 4845/5452/4714 +f 4847/5454/4716 4855/5463/4724 4854/5462/4723 4846/5453/4715 +f 4848/5447/4710 4856/5456/4718 4855/5463/4724 4847/5454/4716 +f 4849/5455/4717 4857/5464/4725 4864/5465/4726 4856/5456/4718 +f 4850/5457/4719 4858/5466/4727 4857/5467/4725 4849/5458/4717 +f 4851/5459/4720 4859/5468/4728 4858/5466/4727 4850/5457/4719 +f 4852/5460/4721 4860/5469/4729 4859/5468/4728 4851/5459/4720 +f 4853/5461/4722 4861/5470/4730 4860/5469/4729 4852/5460/4721 +f 4854/5462/4723 4862/5471/4731 4861/5470/4730 4853/5461/4722 +f 4855/5463/4724 4863/5472/4732 4862/5471/4731 4854/5462/4723 +f 4856/5456/4718 4864/5465/4726 4863/5472/4732 4855/5463/4724 +f 4857/5464/4725 4865/5473/4733 4872/5474/4734 4864/5465/4726 +f 4858/5466/4727 4866/5475/4735 4865/5476/4733 4857/5467/4725 +f 4859/5468/4728 4867/5477/4736 4866/5475/4735 4858/5466/4727 +f 4860/5469/4729 4868/5478/4737 4867/5477/4736 4859/5468/4728 +f 4861/5470/4730 4869/5479/4738 4868/5478/4737 4860/5469/4729 +f 4862/5471/4731 4870/5480/4739 4869/5479/4738 4861/5470/4730 +f 4863/5472/4732 4871/5481/4740 4870/5480/4739 4862/5471/4731 +f 4864/5465/4726 4872/5474/4734 4871/5481/4740 4863/5472/4732 +f 4865/5473/4733 4873/5482/4741 4880/5483/4742 4872/5474/4734 +f 4866/5475/4735 4874/5484/4743 4873/5485/4741 4865/5476/4733 +f 4867/5477/4736 4875/5486/4744 4874/5484/4743 4866/5475/4735 +f 4868/5478/4737 4876/5487/4745 4875/5486/4744 4867/5477/4736 +f 4869/5479/4738 4877/5488/4746 4876/5487/4745 4868/5478/4737 +f 4870/5480/4739 4878/5489/4747 4877/5488/4746 4869/5479/4738 +f 4871/5481/4740 4879/5490/4748 4878/5489/4747 4870/5480/4739 +f 4872/5474/4734 4880/5483/4742 4879/5490/4748 4871/5481/4740 +f 4881/5491/4749 4889/5492/4750 4896/5493/4751 4888/5494/4752 +f 4882/5495/4753 4890/5496/4754 4889/5497/4750 4881/5498/4749 +f 4883/5499/4755 4891/5500/4756 4890/5496/4754 4882/5495/4753 +f 4884/5501/4757 4892/5502/4758 4891/5500/4756 4883/5499/4755 +f 4885/5503/4759 4893/5504/4760 4892/5502/4758 4884/5501/4757 +f 4886/5505/4761 4894/5506/4762 4893/5504/4760 4885/5503/4759 +f 4887/5507/4763 4895/5508/4764 4894/5506/4762 4886/5505/4761 +f 4888/5494/4752 4896/5493/4751 4895/5508/4764 4887/5507/4763 +f 4889/5492/4750 4897/5509/4765 4904/5510/4766 4896/5493/4751 +f 4890/5496/4754 4898/5511/4767 4897/5512/4765 4889/5497/4750 +f 4891/5500/4756 4899/5513/4768 4898/5511/4767 4890/5496/4754 +f 4892/5502/4758 4900/5514/4769 4899/5513/4768 4891/5500/4756 +f 4893/5504/4760 4901/5515/4770 4900/5514/4769 4892/5502/4758 +f 4894/5506/4762 4902/5516/4771 4901/5515/4770 4893/5504/4760 +f 4895/5508/4764 4903/5517/4772 4902/5516/4771 4894/5506/4762 +f 4896/5493/4751 4904/5510/4766 4903/5517/4772 4895/5508/4764 +f 4897/5509/4765 4905/5518/4773 4912/5519/4774 4904/5510/4766 +f 4898/5511/4767 4906/5520/4775 4905/5521/4773 4897/5512/4765 +f 4899/5513/4768 4907/5522/4776 4906/5520/4775 4898/5511/4767 +f 4900/5514/4769 4908/5523/4777 4907/5522/4776 4899/5513/4768 +f 4901/5515/4770 4909/5524/4778 4908/5523/4777 4900/5514/4769 +f 4902/5516/4771 4910/5525/4779 4909/5524/4778 4901/5515/4770 +f 4903/5517/4772 4911/5526/4780 4910/5525/4779 4902/5516/4771 +f 4904/5510/4766 4912/5519/4774 4911/5526/4780 4903/5517/4772 +f 4905/5518/4773 4913/5527/4781 4920/5528/4782 4912/5519/4774 +f 4906/5520/4775 4914/5529/4783 4913/5530/4781 4905/5521/4773 +f 4907/5522/4776 4915/5531/4784 4914/5529/4783 4906/5520/4775 +f 4908/5523/4777 4916/5532/4785 4915/5531/4784 4907/5522/4776 +f 4909/5524/4778 4917/5533/4786 4916/5532/4785 4908/5523/4777 +f 4910/5525/4779 4918/5534/4787 4917/5533/4786 4909/5524/4778 +f 4911/5526/4780 4919/5535/4788 4918/5534/4787 4910/5525/4779 +f 4912/5519/4774 4920/5528/4782 4919/5535/4788 4911/5526/4780 +f 4913/5527/4781 4921/5536/4789 4928/5537/4790 4920/5528/4782 +f 4914/5529/4783 4922/5538/4791 4921/5539/4789 4913/5530/4781 +f 4915/5531/4784 4923/5540/4792 4922/5538/4791 4914/5529/4783 +f 4916/5532/4785 4924/5541/4793 4923/5540/4792 4915/5531/4784 +f 4917/5533/4786 4925/5542/4794 4924/5541/4793 4916/5532/4785 +f 4918/5534/4787 4926/5543/4795 4925/5542/4794 4917/5533/4786 +f 4919/5535/4788 4927/5544/4796 4926/5543/4795 4918/5534/4787 +f 4920/5528/4782 4928/5537/4790 4927/5544/4796 4919/5535/4788 +f 4921/5536/4789 4929/5545/4797 4936/5546/4798 4928/5537/4790 +f 4922/5538/4791 4930/5547/4799 4929/5548/4797 4921/5539/4789 +f 4923/5540/4792 4931/5549/4800 4930/5547/4799 4922/5538/4791 +f 4924/5541/4793 4932/5550/4801 4931/5549/4800 4923/5540/4792 +f 4925/5542/4794 4933/5551/4802 4932/5550/4801 4924/5541/4793 +f 4926/5543/4795 4934/5552/4803 4933/5551/4802 4925/5542/4794 +f 4927/5544/4796 4935/5553/4804 4934/5552/4803 4926/5543/4795 +f 4928/5537/4790 4936/5546/4798 4935/5553/4804 4927/5544/4796 +f 4937/5554/4805 4945/5555/4805 4952/5556/4806 4944/5557/4806 +f 4938/5558/4807 4946/5559/4807 4945/5560/4805 4937/5561/4805 +f 4939/5562/4808 4947/5563/4808 4946/5559/4807 4938/5558/4807 +f 4940/5564/4809 4948/5565/4810 4947/5563/4808 4939/5562/4808 +f 4941/5566/4811 4949/5567/4812 4948/5565/4810 4940/5564/4809 +f 4942/5568/4813 4950/5569/4814 4949/5567/4812 4941/5566/4811 +f 4943/5570/4815 4951/5571/4815 4950/5569/4814 4942/5568/4813 +f 4944/5557/4806 4952/5556/4806 4951/5571/4815 4943/5570/4815 +f 4945/5555/4805 4953/5572/4805 4960/5573/4806 4952/5556/4806 +f 4946/5559/4807 4954/5574/4816 4953/5575/4805 4945/5560/4805 +f 4947/5563/4808 4955/5576/4808 4954/5574/4816 4946/5559/4807 +f 4948/5565/4810 4956/5577/4817 4955/5576/4808 4947/5563/4808 +f 4949/5567/4812 4957/5578/4812 4956/5577/4817 4948/5565/4810 +f 4950/5569/4814 4958/5579/4818 4957/5578/4812 4949/5567/4812 +f 4951/5571/4815 4959/5580/4819 4958/5579/4818 4950/5569/4814 +f 4952/5556/4806 4960/5573/4806 4959/5580/4819 4951/5571/4815 +f 4953/5572/4805 4961/5581/4820 4968/5582/4821 4960/5573/4806 +f 4954/5574/4816 4962/5583/4822 4961/5584/4820 4953/5575/4805 +f 4955/5576/4808 4963/5585/4823 4962/5583/4822 4954/5574/4816 +f 4956/5577/4817 4964/5586/4824 4963/5585/4823 4955/5576/4808 +f 4957/5578/4812 4965/5587/4812 4964/5586/4824 4956/5577/4817 +f 4958/5579/4818 4966/5588/4825 4965/5587/4812 4957/5578/4812 +f 4959/5580/4819 4967/5589/4819 4966/5588/4825 4958/5579/4818 +f 4960/5573/4806 4968/5582/4821 4967/5589/4819 4959/5580/4819 +f 4969/5590/4826 4977/5591/4827 4984/5592/4828 4976/5593/4829 +f 4970/5594/4830 4978/5595/4831 4977/5596/4827 4969/5597/4826 +f 4971/5598/4832 4979/5599/4833 4978/5595/4831 4970/5594/4830 +f 4972/5600/4834 4980/5601/4835 4979/5599/4833 4971/5598/4832 +f 4973/5602/4836 4981/5603/4837 4980/5601/4835 4972/5600/4834 +f 4974/5604/4838 4982/5605/4839 4981/5603/4837 4973/5602/4836 +f 4975/5606/4840 4983/5607/4841 4982/5605/4839 4974/5604/4838 +f 4976/5593/4829 4984/5592/4828 4983/5607/4841 4975/5606/4840 +f 4977/5591/4827 4985/5608/4842 4992/5609/4843 4984/5592/4828 +f 4978/5595/4831 4986/5610/4844 4985/5611/4842 4977/5596/4827 +f 4979/5599/4833 4987/5612/4845 4986/5610/4844 4978/5595/4831 +f 4980/5601/4835 4988/5613/4846 4987/5612/4845 4979/5599/4833 +f 4981/5603/4837 4989/5614/4847 4988/5613/4846 4980/5601/4835 +f 4982/5605/4839 4990/5615/4848 4989/5614/4847 4981/5603/4837 +f 4983/5607/4841 4991/5616/4849 4990/5615/4848 4982/5605/4839 +f 4984/5592/4828 4992/5609/4843 4991/5616/4849 4983/5607/4841 +f 4985/5608/4842 4993/5617/4850 5000/5618/4851 4992/5609/4843 +f 4986/5610/4844 4994/5619/4852 4993/5620/4850 4985/5611/4842 +f 4987/5612/4845 4995/5621/4853 4994/5619/4852 4986/5610/4844 +f 4988/5613/4846 4996/5622/4854 4995/5621/4853 4987/5612/4845 +f 4989/5614/4847 4997/5623/4855 4996/5622/4854 4988/5613/4846 +f 4990/5615/4848 4998/5624/4856 4997/5623/4855 4989/5614/4847 +f 4991/5616/4849 4999/5625/4857 4998/5624/4856 4990/5615/4848 +f 4992/5609/4843 5000/5618/4851 4999/5625/4857 4991/5616/4849 +f 4993/5617/4850 5001/5626/4858 5008/5627/4859 5000/5618/4851 +f 4994/5619/4852 5002/5628/4860 5001/5629/4858 4993/5620/4850 +f 4995/5621/4853 5003/5630/4861 5002/5628/4860 4994/5619/4852 +f 4996/5622/4854 5004/5631/4862 5003/5630/4861 4995/5621/4853 +f 4997/5623/4855 5005/5632/4863 5004/5631/4862 4996/5622/4854 +f 4998/5624/4856 5006/5633/4864 5005/5632/4863 4997/5623/4855 +f 4999/5625/4857 5007/5634/4865 5006/5633/4864 4998/5624/4856 +f 5000/5618/4851 5008/5627/4859 5007/5634/4865 4999/5625/4857 +f 5001/5626/4858 5009/5635/4866 5016/5636/4867 5008/5627/4859 +f 5002/5628/4860 5010/5637/4868 5009/5638/4866 5001/5629/4858 +f 5003/5630/4861 5011/5639/4869 5010/5637/4868 5002/5628/4860 +f 5004/5631/4862 5012/5640/4870 5011/5639/4869 5003/5630/4861 +f 5005/5632/4863 5013/5641/4871 5012/5640/4870 5004/5631/4862 +f 5006/5633/4864 5014/5642/4872 5013/5641/4871 5005/5632/4863 +f 5007/5634/4865 5015/5643/4873 5014/5642/4872 5006/5633/4864 +f 5008/5627/4859 5016/5636/4867 5015/5643/4873 5007/5634/4865 +f 5009/5635/4866 5017/5644/4874 5024/5645/4875 5016/5636/4867 +f 5010/5637/4868 5018/5646/4876 5017/5647/4874 5009/5638/4866 +f 5011/5639/4869 5019/5648/4877 5018/5646/4876 5010/5637/4868 +f 5012/5640/4870 5020/5649/4878 5019/5648/4877 5011/5639/4869 +f 5013/5641/4871 5021/5650/4879 5020/5649/4878 5012/5640/4870 +f 5014/5642/4872 5022/5651/4880 5021/5650/4879 5013/5641/4871 +f 5015/5643/4873 5023/5652/4881 5022/5651/4880 5014/5642/4872 +f 5016/5636/4867 5024/5645/4875 5023/5652/4881 5015/5643/4873 +f 5017/5644/4874 5025/5653/4882 5032/5654/4883 5024/5645/4875 +f 5018/5646/4876 5026/5655/4884 5025/5656/4882 5017/5647/4874 +f 5019/5648/4877 5027/5657/4885 5026/5655/4884 5018/5646/4876 +f 5020/5649/4878 5028/5658/4886 5027/5657/4885 5019/5648/4877 +f 5021/5650/4879 5029/5659/4887 5028/5658/4886 5020/5649/4878 +f 5022/5651/4880 5030/5660/4888 5029/5659/4887 5021/5650/4879 +f 5023/5652/4881 5031/5661/4889 5030/5660/4888 5022/5651/4880 +f 5024/5645/4875 5032/5654/4883 5031/5661/4889 5023/5652/4881 +f 5025/5653/4882 5033/5662/4890 5040/5663/4891 5032/5654/4883 +f 5026/5655/4884 5034/5664/4892 5033/5665/4890 5025/5656/4882 +f 5027/5657/4885 5035/5666/4893 5034/5664/4892 5026/5655/4884 +f 5028/5658/4886 5036/5667/4894 5035/5666/4893 5027/5657/4885 +f 5029/5659/4887 5037/5668/4895 5036/5667/4894 5028/5658/4886 +f 5030/5660/4888 5038/5669/4896 5037/5668/4895 5029/5659/4887 +f 5031/5661/4889 5039/5670/4897 5038/5669/4896 5030/5660/4888 +f 5032/5654/4883 5040/5663/4891 5039/5670/4897 5031/5661/4889 +f 5033/5662/4890 5041/5671/4898 5048/5672/4899 5040/5663/4891 +f 5034/5664/4892 5042/5673/4900 5041/5674/4898 5033/5665/4890 +f 5035/5666/4893 5043/5675/4901 5042/5673/4900 5034/5664/4892 +f 5036/5667/4894 5044/5676/4902 5043/5675/4901 5035/5666/4893 +f 5037/5668/4895 5045/5677/4903 5044/5676/4902 5036/5667/4894 +f 5038/5669/4896 5046/5678/4904 5045/5677/4903 5037/5668/4895 +f 5039/5670/4897 5047/5679/4905 5046/5678/4904 5038/5669/4896 +f 5040/5663/4891 5048/5672/4899 5047/5679/4905 5039/5670/4897 +f 5041/5671/4898 5049/5680/4906 5056/5681/4907 5048/5672/4899 +f 5042/5673/4900 5050/5682/4908 5049/5683/4906 5041/5674/4898 +f 5043/5675/4901 5051/5684/4909 5050/5682/4908 5042/5673/4900 +f 5044/5676/4902 5052/5685/4910 5051/5684/4909 5043/5675/4901 +f 5045/5677/4903 5053/5686/4911 5052/5685/4910 5044/5676/4902 +f 5046/5678/4904 5054/5687/4912 5053/5686/4911 5045/5677/4903 +f 5047/5679/4905 5055/5688/4913 5054/5687/4912 5046/5678/4904 +f 5048/5672/4899 5056/5681/4907 5055/5688/4913 5047/5679/4905 +f 5049/5680/4906 5057/5689/4914 5064/5690/4915 5056/5681/4907 +f 5050/5682/4908 5058/5691/4916 5057/5692/4914 5049/5683/4906 +f 5051/5684/4909 5059/5693/4917 5058/5691/4916 5050/5682/4908 +f 5052/5685/4910 5060/5694/4918 5059/5693/4917 5051/5684/4909 +f 5053/5686/4911 5061/5695/4919 5060/5694/4918 5052/5685/4910 +f 5054/5687/4912 5062/5696/4920 5061/5695/4919 5053/5686/4911 +f 5055/5688/4913 5063/5697/4921 5062/5696/4920 5054/5687/4912 +f 5056/5681/4907 5064/5690/4915 5063/5697/4921 5055/5688/4913 +f 5057/5689/4914 5065/5698/4922 5072/5699/4923 5064/5690/4915 +f 5058/5691/4916 5066/5700/4924 5065/5701/4922 5057/5692/4914 +f 5059/5693/4917 5067/5702/4925 5066/5700/4924 5058/5691/4916 +f 5060/5694/4918 5068/5703/4926 5067/5702/4925 5059/5693/4917 +f 5061/5695/4919 5069/5704/4927 5068/5703/4926 5060/5694/4918 +f 5062/5696/4920 5070/5705/4928 5069/5704/4927 5061/5695/4919 +f 5063/5697/4921 5071/5706/4929 5070/5705/4928 5062/5696/4920 +f 5064/5690/4915 5072/5699/4923 5071/5706/4929 5063/5697/4921 +f 5073/5707/4930 5081/5708/4930 5088/5709/4931 5080/5710/4931 +f 5074/5711/4932 5082/5712/4932 5081/5713/4930 5073/5714/4930 +f 5075/5715/4933 5083/5716/4934 5082/5712/4932 5074/5711/4932 +f 5076/5717/4935 5084/5718/4935 5083/5716/4934 5075/5715/4933 +f 5077/5719/4936 5085/5720/4936 5084/5718/4935 5076/5717/4935 +f 5078/5721/4937 5086/5722/4937 5085/5720/4936 5077/5719/4936 +f 5079/5723/4938 5087/5724/4938 5086/5722/4937 5078/5721/4937 +f 5080/5710/4931 5088/5709/4931 5087/5724/4938 5079/5723/4938 +f 5081/5708/4930 5089/5725/4939 5096/5726/4940 5088/5709/4931 +f 5082/5712/4932 5090/5727/4941 5089/5728/4939 5081/5713/4930 +f 5083/5716/4934 5091/5729/4942 5090/5727/4941 5082/5712/4932 +f 5084/5718/4935 5092/5730/4943 5091/5729/4942 5083/5716/4934 +f 5085/5720/4936 5093/5731/4944 5092/5730/4943 5084/5718/4935 +f 5086/5722/4937 5094/5732/4945 5093/5731/4944 5085/5720/4936 +f 5087/5724/4938 5095/5733/4946 5094/5732/4945 5086/5722/4937 +f 5088/5709/4931 5096/5726/4940 5095/5733/4946 5087/5724/4938 +f 5089/5725/4939 5097/5734/4947 5104/5735/4948 5096/5726/4940 +f 5090/5727/4941 5098/5736/4949 5097/5737/4947 5089/5728/4939 +f 5091/5729/4942 5099/5738/4950 5098/5736/4949 5090/5727/4941 +f 5092/5730/4943 5100/5739/4951 5099/5738/4950 5091/5729/4942 +f 5093/5731/4944 5101/5740/4952 5100/5739/4951 5092/5730/4943 +f 5094/5732/4945 5102/5741/4953 5101/5740/4952 5093/5731/4944 +f 5095/5733/4946 5103/5742/4954 5102/5741/4953 5094/5732/4945 +f 5096/5726/4940 5104/5735/4948 5103/5742/4954 5095/5733/4946 +f 5105/5743/4955 5113/5744/4955 5120/5745/4956 5112/5746/4956 +f 5106/5747/4957 5114/5748/4957 5113/5749/4955 5105/5750/4955 +f 5107/5751/4958 5115/5752/4958 5114/5748/4957 5106/5747/4957 +f 5108/5753/4959 5116/5754/4959 5115/5752/4958 5107/5751/4958 +f 5109/5755/4960 5117/5756/4961 5116/5754/4959 5108/5753/4959 +f 5110/5757/4962 5118/5758/4962 5117/5756/4961 5109/5755/4960 +f 5111/5759/4963 5119/5760/4963 5118/5758/4962 5110/5757/4962 +f 5112/5746/4956 5120/5745/4956 5119/5760/4963 5111/5759/4963 +f 5113/5744/4955 5121/5761/4964 5128/5762/4965 5120/5745/4956 +f 5114/5748/4957 5122/5763/4966 5121/5764/4964 5113/5749/4955 +f 5115/5752/4958 5123/5765/4967 5122/5763/4966 5114/5748/4957 +f 5116/5754/4959 5124/5766/4968 5123/5765/4967 5115/5752/4958 +f 5117/5756/4961 5125/5767/4969 5124/5766/4968 5116/5754/4959 +f 5118/5758/4962 5126/5768/4970 5125/5767/4969 5117/5756/4961 +f 5119/5760/4963 5127/5769/4971 5126/5768/4970 5118/5758/4962 +f 5120/5745/4956 5128/5762/4965 5127/5769/4971 5119/5760/4963 +f 5121/5761/4964 5129/5770/4972 5136/5771/4973 5128/5762/4965 +f 5122/5763/4966 5130/5772/4974 5129/5773/4972 5121/5764/4964 +f 5123/5765/4967 5131/5774/4975 5130/5772/4974 5122/5763/4966 +f 5124/5766/4968 5132/5775/4976 5131/5774/4975 5123/5765/4967 +f 5125/5767/4969 5133/5776/4977 5132/5775/4976 5124/5766/4968 +f 5126/5768/4970 5134/5777/4978 5133/5776/4977 5125/5767/4969 +f 5127/5769/4971 5135/5778/4979 5134/5777/4978 5126/5768/4970 +f 5128/5762/4965 5136/5771/4973 5135/5778/4979 5127/5769/4971 +f 5129/5770/4972 5137/5779/4980 5144/5780/4981 5136/5771/4973 +f 5130/5772/4974 5138/5781/4982 5137/5782/4980 5129/5773/4972 +f 5131/5774/4975 5139/5783/4983 5138/5781/4982 5130/5772/4974 +f 5132/5775/4976 5140/5784/4984 5139/5783/4983 5131/5774/4975 +f 5133/5776/4977 5141/5785/4985 5140/5784/4984 5132/5775/4976 +f 5134/5777/4978 5142/5786/4986 5141/5785/4985 5133/5776/4977 +f 5135/5778/4979 5143/5787/4987 5142/5786/4986 5134/5777/4978 +f 5136/5771/4973 5144/5780/4981 5143/5787/4987 5135/5778/4979 +f 5137/5779/4980 5145/5788/4988 5152/5789/4989 5144/5780/4981 +f 5138/5781/4982 5146/5790/4990 5145/5791/4988 5137/5782/4980 +f 5139/5783/4983 5147/5792/4991 5146/5790/4990 5138/5781/4982 +f 5140/5784/4984 5148/5793/4992 5147/5792/4991 5139/5783/4983 +f 5141/5785/4985 5149/5794/4993 5148/5793/4992 5140/5784/4984 +f 5142/5786/4986 5150/5795/4994 5149/5794/4993 5141/5785/4985 +f 5143/5787/4987 5151/5796/4995 5150/5795/4994 5142/5786/4986 +f 5144/5780/4981 5152/5789/4989 5151/5796/4995 5143/5787/4987 +f 5145/5788/4988 5153/5797/4996 5160/5798/4997 5152/5789/4989 +f 5146/5790/4990 5154/5799/4998 5153/5800/4996 5145/5791/4988 +f 5147/5792/4991 5155/5801/4999 5154/5799/4998 5146/5790/4990 +f 5148/5793/4992 5156/5802/5000 5155/5801/4999 5147/5792/4991 +f 5149/5794/4993 5157/5803/5001 5156/5802/5000 5148/5793/4992 +f 5150/5795/4994 5158/5804/5002 5157/5803/5001 5149/5794/4993 +f 5151/5796/4995 5159/5805/5003 5158/5804/5002 5150/5795/4994 +f 5152/5789/4989 5160/5798/4997 5159/5805/5003 5151/5796/4995 +f 5153/5797/4996 5161/5806/5004 5168/5807/5005 5160/5798/4997 +f 5154/5799/4998 5162/5808/5006 5161/5809/5004 5153/5800/4996 +f 5155/5801/4999 5163/5810/5007 5162/5808/5006 5154/5799/4998 +f 5156/5802/5000 5164/5811/5008 5163/5810/5007 5155/5801/4999 +f 5157/5803/5001 5165/5812/5009 5164/5811/5008 5156/5802/5000 +f 5158/5804/5002 5166/5813/5010 5165/5812/5009 5157/5803/5001 +f 5159/5805/5003 5167/5814/5011 5166/5813/5010 5158/5804/5002 +f 5160/5798/4997 5168/5807/5005 5167/5814/5011 5159/5805/5003 +f 5161/5806/5004 5169/5815/5012 5176/5816/5013 5168/5807/5005 +f 5162/5808/5006 5170/5817/5014 5169/5818/5012 5161/5809/5004 +f 5163/5810/5007 5171/5819/5015 5170/5817/5014 5162/5808/5006 +f 5164/5811/5008 5172/5820/5016 5171/5819/5015 5163/5810/5007 +f 5165/5812/5009 5173/5821/5017 5172/5820/5016 5164/5811/5008 +f 5166/5813/5010 5174/5822/5018 5173/5821/5017 5165/5812/5009 +f 5167/5814/5011 5175/5823/5019 5174/5822/5018 5166/5813/5010 +f 5168/5807/5005 5176/5816/5013 5175/5823/5019 5167/5814/5011 +f 5169/5815/5012 5177/5824/5020 5184/5825/5021 5176/5816/5013 +f 5170/5817/5014 5178/5826/5022 5177/5827/5020 5169/5818/5012 +f 5171/5819/5015 5179/5828/5023 5178/5826/5022 5170/5817/5014 +f 5172/5820/5016 5180/5829/5024 5179/5828/5023 5171/5819/5015 +f 5173/5821/5017 5181/5830/5025 5180/5829/5024 5172/5820/5016 +f 5174/5822/5018 5182/5831/5026 5181/5830/5025 5173/5821/5017 +f 5175/5823/5019 5183/5832/5027 5182/5831/5026 5174/5822/5018 +f 5176/5816/5013 5184/5825/5021 5183/5832/5027 5175/5823/5019 +f 5185/5833/5028 5193/5834/5028 5200/5835/5029 5192/5836/5029 +f 5186/5837/5030 5194/5838/5030 5193/5839/5028 5185/5840/5028 +f 5187/5841/5031 5195/5842/5031 5194/5838/5030 5186/5837/5030 +f 5188/5843/5032 5196/5844/5032 5195/5842/5031 5187/5841/5031 +f 5189/5845/5033 5197/5846/5033 5196/5844/5032 5188/5843/5032 +f 5190/5847/5034 5198/5848/5034 5197/5846/5033 5189/5845/5033 +f 5191/5849/5035 5199/5850/5035 5198/5848/5034 5190/5847/5034 +f 5192/5836/5029 5200/5835/5029 5199/5850/5035 5191/5849/5035 +f 5193/5834/5028 5201/5851/5036 5208/5852/5037 5200/5835/5029 +f 5194/5838/5030 5202/5853/5038 5201/5854/5036 5193/5839/5028 +f 5195/5842/5031 5203/5855/5039 5202/5853/5038 5194/5838/5030 +f 5196/5844/5032 5204/5856/5040 5203/5855/5039 5195/5842/5031 +f 5197/5846/5033 5205/5857/5041 5204/5856/5040 5196/5844/5032 +f 5198/5848/5034 5206/5858/5042 5205/5857/5041 5197/5846/5033 +f 5199/5850/5035 5207/5859/5043 5206/5858/5042 5198/5848/5034 +f 5200/5835/5029 5208/5852/5037 5207/5859/5043 5199/5850/5035 +f 5201/5851/5036 5209/5860/5044 5216/5861/5045 5208/5852/5037 +f 5202/5853/5038 5210/5862/5046 5209/5863/5044 5201/5854/5036 +f 5203/5855/5039 5211/5864/5047 5210/5862/5046 5202/5853/5038 +f 5204/5856/5040 5212/5865/5048 5211/5864/5047 5203/5855/5039 +f 5205/5857/5041 5213/5866/5049 5212/5865/5048 5204/5856/5040 +f 5206/5858/5042 5214/5867/5050 5213/5866/5049 5205/5857/5041 +f 5207/5859/5043 5215/5868/5051 5214/5867/5050 5206/5858/5042 +f 5208/5852/5037 5216/5861/5045 5215/5868/5051 5207/5859/5043 +f 5209/5860/5044 5217/5869/5052 5224/5870/5053 5216/5861/5045 +f 5210/5862/5046 5218/5871/5054 5217/5872/5052 5209/5863/5044 +f 5211/5864/5047 5219/5873/5055 5218/5871/5054 5210/5862/5046 +f 5212/5865/5048 5220/5874/5056 5219/5873/5055 5211/5864/5047 +f 5213/5866/5049 5221/5875/5057 5220/5874/5056 5212/5865/5048 +f 5214/5867/5050 5222/5876/5058 5221/5875/5057 5213/5866/5049 +f 5215/5868/5051 5223/5877/5059 5222/5876/5058 5214/5867/5050 +f 5216/5861/5045 5224/5870/5053 5223/5877/5059 5215/5868/5051 +f 5217/5869/5052 5225/5878/5060 5232/5879/5061 5224/5870/5053 +f 5218/5871/5054 5226/5880/5062 5225/5881/5060 5217/5872/5052 +f 5219/5873/5055 5227/5882/5063 5226/5880/5062 5218/5871/5054 +f 5220/5874/5056 5228/5883/5064 5227/5882/5063 5219/5873/5055 +f 5221/5875/5057 5229/5884/5065 5228/5883/5064 5220/5874/5056 +f 5222/5876/5058 5230/5885/5066 5229/5884/5065 5221/5875/5057 +f 5223/5877/5059 5231/5886/5067 5230/5885/5066 5222/5876/5058 +f 5224/5870/5053 5232/5879/5061 5231/5886/5067 5223/5877/5059 +f 5225/5878/5060 5233/5887/5068 5240/5888/5069 5232/5879/5061 +f 5226/5880/5062 5234/5889/5070 5233/5890/5068 5225/5881/5060 +f 5227/5882/5063 5235/5891/5071 5234/5889/5070 5226/5880/5062 +f 5228/5883/5064 5236/5892/5072 5235/5891/5071 5227/5882/5063 +f 5229/5884/5065 5237/5893/5073 5236/5892/5072 5228/5883/5064 +f 5230/5885/5066 5238/5894/5074 5237/5893/5073 5229/5884/5065 +f 5231/5886/5067 5239/5895/5075 5238/5894/5074 5230/5885/5066 +f 5232/5879/5061 5240/5888/5069 5239/5895/5075 5231/5886/5067 +f 5233/5887/5068 5241/5896/5052 5248/5897/5053 5240/5888/5069 +f 5234/5889/5070 5242/5898/5076 5241/5899/5052 5233/5890/5068 +f 5235/5891/5071 5243/5900/5055 5242/5898/5076 5234/5889/5070 +f 5236/5892/5072 5244/5901/5056 5243/5900/5055 5235/5891/5071 +f 5237/5893/5073 5245/5902/5057 5244/5901/5056 5236/5892/5072 +f 5238/5894/5074 5246/5903/5058 5245/5902/5057 5237/5893/5073 +f 5239/5895/5075 5247/5904/5059 5246/5903/5058 5238/5894/5074 +f 5240/5888/5069 5248/5897/5053 5247/5904/5059 5239/5895/5075 +f 5241/5896/5052 5249/5905/5060 5256/5906/5061 5248/5897/5053 +f 5242/5898/5076 5250/5907/5077 5249/5908/5060 5241/5899/5052 +f 5243/5900/5055 5251/5909/5078 5250/5907/5077 5242/5898/5076 +f 5244/5901/5056 5252/5910/5064 5251/5909/5078 5243/5900/5055 +f 5245/5902/5057 5253/5911/5079 5252/5910/5064 5244/5901/5056 +f 5246/5903/5058 5254/5912/5066 5253/5911/5079 5245/5902/5057 +f 5247/5904/5059 5255/5913/5067 5254/5912/5066 5246/5903/5058 +f 5248/5897/5053 5256/5906/5061 5255/5913/5067 5247/5904/5059 +f 5249/5905/5060 5257/5914/5080 5264/5915/5069 5256/5906/5061 +f 5250/5907/5077 5258/5916/5070 5257/5917/5080 5249/5908/5060 +f 5251/5909/5078 5259/5918/5081 5258/5916/5070 5250/5907/5077 +f 5252/5910/5064 5260/5919/5072 5259/5918/5081 5251/5909/5078 +f 5253/5911/5079 5261/5920/5073 5260/5919/5072 5252/5910/5064 +f 5254/5912/5066 5262/5921/5082 5261/5920/5073 5253/5911/5079 +f 5255/5913/5067 5263/5922/5075 5262/5921/5082 5254/5912/5066 +f 5256/5906/5061 5264/5915/5069 5263/5922/5075 5255/5913/5067 +f 5265/5923/5083 5273/5924/5084 5280/5925/5085 5272/5926/5086 +f 5266/5927/5087 5274/5928/5088 5273/5929/5084 5265/5930/5083 +f 5267/5931/5089 5275/5932/5090 5274/5928/5088 5266/5927/5087 +f 5268/5933/5091 5276/5934/5092 5275/5932/5090 5267/5931/5089 +f 5269/5935/5093 5277/5936/5094 5276/5934/5092 5268/5933/5091 +f 5270/5937/5095 5278/5938/5096 5277/5936/5094 5269/5935/5093 +f 5271/5939/5097 5279/5940/5098 5278/5938/5096 5270/5937/5095 +f 5272/5926/5086 5280/5925/5085 5279/5940/5098 5271/5939/5097 +f 5273/5924/5084 5281/5941/5099 5288/5942/5100 5280/5925/5085 +f 5274/5928/5088 5282/5943/5101 5281/5944/5099 5273/5929/5084 +f 5275/5932/5090 5283/5945/5102 5282/5943/5101 5274/5928/5088 +f 5276/5934/5092 5284/5946/5103 5283/5945/5102 5275/5932/5090 +f 5277/5936/5094 5285/5947/5104 5284/5946/5103 5276/5934/5092 +f 5278/5938/5096 5286/5948/5105 5285/5947/5104 5277/5936/5094 +f 5279/5940/5098 5287/5949/5106 5286/5948/5105 5278/5938/5096 +f 5280/5925/5085 5288/5942/5100 5287/5949/5106 5279/5940/5098 +f 5281/5941/5099 5289/5950/5107 5296/5951/5108 5288/5942/5100 +f 5282/5943/5101 5290/5952/5109 5289/5953/5107 5281/5944/5099 +f 5283/5945/5102 5291/5954/5110 5290/5952/5109 5282/5943/5101 +f 5284/5946/5103 5292/5955/5111 5291/5954/5110 5283/5945/5102 +f 5285/5947/5104 5293/5956/5112 5292/5955/5111 5284/5946/5103 +f 5286/5948/5105 5294/5957/5113 5293/5956/5112 5285/5947/5104 +f 5287/5949/5106 5295/5958/5114 5294/5957/5113 5286/5948/5105 +f 5288/5942/5100 5296/5951/5108 5295/5958/5114 5287/5949/5106 +f 5289/5950/5107 5297/5959/5115 5304/5960/5116 5296/5951/5108 +f 5290/5952/5109 5298/5961/5117 5297/5962/5115 5289/5953/5107 +f 5291/5954/5110 5299/5963/5118 5298/5961/5117 5290/5952/5109 +f 5292/5955/5111 5300/5964/5119 5299/5963/5118 5291/5954/5110 +f 5293/5956/5112 5301/5965/5120 5300/5964/5119 5292/5955/5111 +f 5294/5957/5113 5302/5966/5121 5301/5965/5120 5293/5956/5112 +f 5295/5958/5114 5303/5967/5122 5302/5966/5121 5294/5957/5113 +f 5296/5951/5108 5304/5960/5116 5303/5967/5122 5295/5958/5114 +f 5297/5959/5115 5305/5968/5123 5312/5969/5124 5304/5960/5116 +f 5298/5961/5117 5306/5970/5125 5305/5971/5123 5297/5962/5115 +f 5299/5963/5118 5307/5972/5126 5306/5970/5125 5298/5961/5117 +f 5300/5964/5119 5308/5973/5127 5307/5972/5126 5299/5963/5118 +f 5301/5965/5120 5309/5974/5128 5308/5973/5127 5300/5964/5119 +f 5302/5966/5121 5310/5975/5129 5309/5974/5128 5301/5965/5120 +f 5303/5967/5122 5311/5976/5130 5310/5975/5129 5302/5966/5121 +f 5304/5960/5116 5312/5969/5124 5311/5976/5130 5303/5967/5122 +f 5305/5968/5123 5313/5977/5131 5320/5978/5132 5312/5969/5124 +f 5306/5970/5125 5314/5979/5133 5313/5980/5131 5305/5971/5123 +f 5307/5972/5126 5315/5981/5134 5314/5979/5133 5306/5970/5125 +f 5308/5973/5127 5316/5982/5135 5315/5981/5134 5307/5972/5126 +f 5309/5974/5128 5317/5983/5136 5316/5982/5135 5308/5973/5127 +f 5310/5975/5129 5318/5984/5137 5317/5983/5136 5309/5974/5128 +f 5311/5976/5130 5319/5985/5138 5318/5984/5137 5310/5975/5129 +f 5312/5969/5124 5320/5978/5132 5319/5985/5138 5311/5976/5130 +f 5313/5977/5131 5321/5986/5139 5328/5987/5140 5320/5978/5132 +f 5314/5979/5133 5322/5988/5141 5321/5989/5139 5313/5980/5131 +f 5315/5981/5134 5323/5990/5142 5322/5988/5141 5314/5979/5133 +f 5316/5982/5135 5324/5991/5143 5323/5990/5142 5315/5981/5134 +f 5317/5983/5136 5325/5992/5144 5324/5991/5143 5316/5982/5135 +f 5318/5984/5137 5326/5993/5145 5325/5992/5144 5317/5983/5136 +f 5319/5985/5138 5327/5994/5146 5326/5993/5145 5318/5984/5137 +f 5320/5978/5132 5328/5987/5140 5327/5994/5146 5319/5985/5138 +f 5321/5986/5139 5329/5995/5147 5336/5996/5148 5328/5987/5140 +f 5322/5988/5141 5330/5997/5149 5329/5998/5147 5321/5989/5139 +f 5323/5990/5142 5331/5999/5150 5330/5997/5149 5322/5988/5141 +f 5324/5991/5143 5332/6000/5151 5331/5999/5150 5323/5990/5142 +f 5325/5992/5144 5333/6001/5152 5332/6000/5151 5324/5991/5143 +f 5326/5993/5145 5334/6002/5153 5333/6001/5152 5325/5992/5144 +f 5327/5994/5146 5335/6003/5154 5334/6002/5153 5326/5993/5145 +f 5328/5987/5140 5336/5996/5148 5335/6003/5154 5327/5994/5146 +f 5329/5995/5147 5337/6004/5155 5344/6005/5156 5336/5996/5148 +f 5330/5997/5149 5338/6006/5157 5337/6007/5155 5329/5998/5147 +f 5331/5999/5150 5339/6008/5158 5338/6006/5157 5330/5997/5149 +f 5332/6000/5151 5340/6009/5159 5339/6008/5158 5331/5999/5150 +f 5333/6001/5152 5341/6010/5160 5340/6009/5159 5332/6000/5151 +f 5334/6002/5153 5342/6011/5161 5341/6010/5160 5333/6001/5152 +f 5335/6003/5154 5343/6012/5162 5342/6011/5161 5334/6002/5153 +f 5336/5996/5148 5344/6005/5156 5343/6012/5162 5335/6003/5154 +f 5345/6013/5163 5353/6014/5163 5360/6015/5164 5352/6016/5164 +f 5346/6017/5165 5354/6018/5165 5353/6019/5163 5345/6020/5163 +f 5347/6021/5166 5355/6022/5166 5354/6018/5165 5346/6017/5165 +f 5348/6023/5167 5356/6024/5167 5355/6022/5166 5347/6021/5166 +f 5349/6025/5168 5357/6026/5168 5356/6024/5167 5348/6023/5167 +f 5350/6027/5169 5358/6028/5170 5357/6026/5168 5349/6025/5168 +f 5351/6029/5171 5359/6030/5171 5358/6028/5170 5350/6027/5169 +f 5352/6016/5164 5360/6015/5164 5359/6030/5171 5351/6029/5171 +f 5353/6014/5163 5361/6031/5172 5368/6032/5173 5360/6015/5164 +f 5354/6018/5165 5362/6033/5174 5361/6034/5172 5353/6019/5163 +f 5355/6022/5166 5363/6035/5175 5362/6033/5174 5354/6018/5165 +f 5356/6024/5167 5364/6036/5176 5363/6035/5175 5355/6022/5166 +f 5357/6026/5168 5365/6037/5177 5364/6036/5176 5356/6024/5167 +f 5358/6028/5170 5366/6038/5178 5365/6037/5177 5357/6026/5168 +f 5359/6030/5171 5367/6039/5179 5366/6038/5178 5358/6028/5170 +f 5360/6015/5164 5368/6032/5173 5367/6039/5179 5359/6030/5171 +f 5361/6031/5172 5369/6040/5180 5376/6041/5181 5368/6032/5173 +f 5362/6033/5174 5370/6042/5182 5369/6043/5180 5361/6034/5172 +f 5363/6035/5175 5371/6044/5183 5370/6042/5182 5362/6033/5174 +f 5364/6036/5176 5372/6045/5184 5371/6044/5183 5363/6035/5175 +f 5365/6037/5177 5373/6046/5185 5372/6045/5184 5364/6036/5176 +f 5366/6038/5178 5374/6047/5186 5373/6046/5185 5365/6037/5177 +f 5367/6039/5179 5375/6048/5187 5374/6047/5186 5366/6038/5178 +f 5368/6032/5173 5376/6041/5181 5375/6048/5187 5367/6039/5179 +f 5369/6040/5180 5377/6049/5188 5384/6050/5189 5376/6041/5181 +f 5370/6042/5182 5378/6051/5190 5377/6052/5188 5369/6043/5180 +f 5371/6044/5183 5379/6053/5191 5378/6051/5190 5370/6042/5182 +f 5372/6045/5184 5380/6054/5192 5379/6053/5191 5371/6044/5183 +f 5373/6046/5185 5381/6055/5193 5380/6054/5192 5372/6045/5184 +f 5374/6047/5186 5382/6056/5194 5381/6055/5193 5373/6046/5185 +f 5375/6048/5187 5383/6057/5195 5382/6056/5194 5374/6047/5186 +f 5376/6041/5181 5384/6050/5189 5383/6057/5195 5375/6048/5187 +f 5377/6049/5188 5385/6058/5196 5392/6059/5197 5384/6050/5189 +f 5378/6051/5190 5386/6060/5198 5385/6061/5196 5377/6052/5188 +f 5379/6053/5191 5387/6062/5199 5386/6060/5198 5378/6051/5190 +f 5380/6054/5192 5388/6063/5200 5387/6062/5199 5379/6053/5191 +f 5381/6055/5193 5389/6064/5201 5388/6063/5200 5380/6054/5192 +f 5382/6056/5194 5390/6065/5202 5389/6064/5201 5381/6055/5193 +f 5383/6057/5195 5391/6066/5203 5390/6065/5202 5382/6056/5194 +f 5384/6050/5189 5392/6059/5197 5391/6066/5203 5383/6057/5195 +f 5385/6058/5196 5393/6067/5204 5400/6068/5205 5392/6059/5197 +f 5386/6060/5198 5394/6069/5206 5393/6070/5204 5385/6061/5196 +f 5387/6062/5199 5395/6071/5207 5394/6069/5206 5386/6060/5198 +f 5388/6063/5200 5396/6072/5208 5395/6071/5207 5387/6062/5199 +f 5389/6064/5201 5397/6073/5209 5396/6072/5208 5388/6063/5200 +f 5390/6065/5202 5398/6074/5210 5397/6073/5209 5389/6064/5201 +f 5391/6066/5203 5399/6075/5211 5398/6074/5210 5390/6065/5202 +f 5392/6059/5197 5400/6068/5205 5399/6075/5211 5391/6066/5203 +f 5393/6067/5204 5401/6076/5212 5408/6077/5189 5400/6068/5205 +f 5394/6069/5206 5402/6078/5213 5401/6079/5212 5393/6070/5204 +f 5395/6071/5207 5403/6080/5191 5402/6078/5213 5394/6069/5206 +f 5396/6072/5208 5404/6081/5192 5403/6080/5191 5395/6071/5207 +f 5397/6073/5209 5405/6082/5214 5404/6081/5192 5396/6072/5208 +f 5398/6074/5210 5406/6083/5194 5405/6082/5214 5397/6073/5209 +f 5399/6075/5211 5407/6084/5195 5406/6083/5194 5398/6074/5210 +f 5400/6068/5205 5408/6077/5189 5407/6084/5195 5399/6075/5211 +f 5401/6076/5212 5409/6085/5215 5416/6086/5197 5408/6077/5189 +f 5402/6078/5213 5410/6087/5198 5409/6088/5215 5401/6079/5212 +f 5403/6080/5191 5411/6089/5199 5410/6087/5198 5402/6078/5213 +f 5404/6081/5192 5412/6090/5216 5411/6089/5199 5403/6080/5191 +f 5405/6082/5214 5413/6091/5217 5412/6090/5216 5404/6081/5192 +f 5406/6083/5194 5414/6092/5202 5413/6091/5217 5405/6082/5214 +f 5407/6084/5195 5415/6093/5203 5414/6092/5202 5406/6083/5194 +f 5408/6077/5189 5416/6086/5197 5415/6093/5203 5407/6084/5195 +f 5409/6085/5215 5417/6094/5218 5424/6095/5205 5416/6086/5197 +f 5410/6087/5198 5418/6096/5219 5417/6097/5218 5409/6088/5215 +f 5411/6089/5199 5419/6098/5220 5418/6096/5219 5410/6087/5198 +f 5412/6090/5216 5420/6099/5221 5419/6098/5220 5411/6089/5199 +f 5413/6091/5217 5421/6100/5222 5420/6099/5221 5412/6090/5216 +f 5414/6092/5202 5422/6101/5223 5421/6100/5222 5413/6091/5217 +f 5415/6093/5203 5423/6102/5224 5422/6101/5223 5414/6092/5202 +f 5416/6086/5197 5424/6095/5205 5423/6102/5224 5415/6093/5203 +f 5425/6103/5225 5433/6104/5225 5440/6105/5226 5432/6106/5226 +f 5426/6107/5227 5434/6108/5228 5433/6109/5225 5425/6110/5225 +f 5427/6111/5229 5435/6112/5229 5434/6108/5228 5426/6107/5227 +f 5428/6113/5230 5436/6114/5230 5435/6112/5229 5427/6111/5229 +f 5429/6115/5231 5437/6116/5231 5436/6114/5230 5428/6113/5230 +f 5430/6117/5232 5438/6118/5233 5437/6116/5231 5429/6115/5231 +f 5431/6119/5234 5439/6120/5234 5438/6118/5233 5430/6117/5232 +f 5432/6106/5226 5440/6105/5226 5439/6120/5234 5431/6119/5234 +f 5433/6104/5225 5441/6121/5235 5448/6122/5236 5440/6105/5226 +f 5434/6108/5228 5442/6123/5237 5441/6124/5235 5433/6109/5225 +f 5435/6112/5229 5443/6125/5238 5442/6123/5237 5434/6108/5228 +f 5436/6114/5230 5444/6126/5239 5443/6125/5238 5435/6112/5229 +f 5437/6116/5231 5445/6127/5240 5444/6126/5239 5436/6114/5230 +f 5438/6118/5233 5446/6128/5241 5445/6127/5240 5437/6116/5231 +f 5439/6120/5234 5447/6129/5242 5446/6128/5241 5438/6118/5233 +f 5440/6105/5226 5448/6122/5236 5447/6129/5242 5439/6120/5234 +f 5441/6121/5235 5449/6130/5243 5456/6131/5244 5448/6122/5236 +f 5442/6123/5237 5450/6132/5245 5449/6133/5243 5441/6124/5235 +f 5443/6125/5238 5451/6134/5246 5450/6132/5245 5442/6123/5237 +f 5444/6126/5239 5452/6135/5247 5451/6134/5246 5443/6125/5238 +f 5445/6127/5240 5453/6136/5248 5452/6135/5247 5444/6126/5239 +f 5446/6128/5241 5454/6137/5249 5453/6136/5248 5445/6127/5240 +f 5447/6129/5242 5455/6138/5250 5454/6137/5249 5446/6128/5241 +f 5448/6122/5236 5456/6131/5244 5455/6138/5250 5447/6129/5242 +f 5449/6130/5243 5457/6139/5251 5464/6140/5252 5456/6131/5244 +f 5450/6132/5245 5458/6141/5253 5457/6142/5251 5449/6133/5243 +f 5451/6134/5246 5459/6143/5254 5458/6141/5253 5450/6132/5245 +f 5452/6135/5247 5460/6144/5255 5459/6143/5254 5451/6134/5246 +f 5453/6136/5248 5461/6145/5256 5460/6144/5255 5452/6135/5247 +f 5454/6137/5249 5462/6146/5257 5461/6145/5256 5453/6136/5248 +f 5455/6138/5250 5463/6147/5258 5462/6146/5257 5454/6137/5249 +f 5456/6131/5244 5464/6140/5252 5463/6147/5258 5455/6138/5250 +f 5457/6139/5251 5465/6148/5259 5472/6149/5260 5464/6140/5252 +f 5458/6141/5253 5466/6150/5261 5465/6151/5259 5457/6142/5251 +f 5459/6143/5254 5467/6152/5262 5466/6150/5261 5458/6141/5253 +f 5460/6144/5255 5468/6153/5263 5467/6152/5262 5459/6143/5254 +f 5461/6145/5256 5469/6154/5264 5468/6153/5263 5460/6144/5255 +f 5462/6146/5257 5470/6155/5265 5469/6154/5264 5461/6145/5256 +f 5463/6147/5258 5471/6156/5266 5470/6155/5265 5462/6146/5257 +f 5464/6140/5252 5472/6149/5260 5471/6156/5266 5463/6147/5258 +f 5465/6148/5259 5473/6157/5267 5480/6158/5268 5472/6149/5260 +f 5466/6150/5261 5474/6159/5269 5473/6160/5267 5465/6151/5259 +f 5467/6152/5262 5475/6161/5270 5474/6159/5269 5466/6150/5261 +f 5468/6153/5263 5476/6162/5271 5475/6161/5270 5467/6152/5262 +f 5469/6154/5264 5477/6163/5272 5476/6162/5271 5468/6153/5263 +f 5470/6155/5265 5478/6164/5273 5477/6163/5272 5469/6154/5264 +f 5471/6156/5266 5479/6165/5274 5478/6164/5273 5470/6155/5265 +f 5472/6149/5260 5480/6158/5268 5479/6165/5274 5471/6156/5266 +f 5473/6157/5267 5481/6166/5251 5488/6167/5252 5480/6158/5268 +f 5474/6159/5269 5482/6168/5253 5481/6169/5251 5473/6160/5267 +f 5475/6161/5270 5483/6170/5275 5482/6168/5253 5474/6159/5269 +f 5476/6162/5271 5484/6171/5276 5483/6170/5275 5475/6161/5270 +f 5477/6163/5272 5485/6172/5256 5484/6171/5276 5476/6162/5271 +f 5478/6164/5273 5486/6173/5257 5485/6172/5256 5477/6163/5272 +f 5479/6165/5274 5487/6174/5258 5486/6173/5257 5478/6164/5273 +f 5480/6158/5268 5488/6167/5252 5487/6174/5258 5479/6165/5274 +f 5481/6166/5251 5489/6175/5277 5496/6176/5278 5488/6167/5252 +f 5482/6168/5253 5490/6177/5279 5489/6178/5277 5481/6169/5251 +f 5483/6170/5275 5491/6179/5262 5490/6177/5279 5482/6168/5253 +f 5484/6171/5276 5492/6180/5263 5491/6179/5262 5483/6170/5275 +f 5485/6172/5256 5493/6181/5264 5492/6180/5263 5484/6171/5276 +f 5486/6173/5257 5494/6182/5265 5493/6181/5264 5485/6172/5256 +f 5487/6174/5258 5495/6183/5266 5494/6182/5265 5486/6173/5257 +f 5488/6167/5252 5496/6176/5278 5495/6183/5266 5487/6174/5258 +f 5489/6175/5277 5497/6184/5280 5504/6185/5281 5496/6176/5278 +f 5490/6177/5279 5498/6186/5282 5497/6187/5280 5489/6178/5277 +f 5491/6179/5262 5499/6188/5283 5498/6186/5282 5490/6177/5279 +f 5492/6180/5263 5500/6189/5284 5499/6188/5283 5491/6179/5262 +f 5493/6181/5264 5501/6190/5285 5500/6189/5284 5492/6180/5263 +f 5494/6182/5265 5502/6191/5286 5501/6190/5285 5493/6181/5264 +f 5495/6183/5266 5503/6192/5287 5502/6191/5286 5494/6182/5265 +f 5496/6176/5278 5504/6185/5281 5503/6192/5287 5495/6183/5266 +f 5505/6193/5288 5513/6194/5288 5520/6195/5289 5512/6196/5289 +f 5506/6197/5290 5514/6198/5290 5513/6199/5288 5505/6200/5288 +f 5507/6201/5291 5515/6202/5291 5514/6198/5290 5506/6197/5290 +f 5508/6203/5292 5516/6204/5292 5515/6202/5291 5507/6201/5291 +f 5509/6205/5293 5517/6206/5293 5516/6204/5292 5508/6203/5292 +f 5510/6207/5294 5518/6208/5294 5517/6206/5293 5509/6205/5293 +f 5511/6209/5295 5519/6210/5295 5518/6208/5294 5510/6207/5294 +f 5512/6196/5289 5520/6195/5289 5519/6210/5295 5511/6209/5295 +f 5513/6194/5288 5521/6211/5296 5528/6212/5297 5520/6195/5289 +f 5514/6198/5290 5522/6213/5298 5521/6214/5296 5513/6199/5288 +f 5515/6202/5291 5523/6215/5299 5522/6213/5298 5514/6198/5290 +f 5516/6204/5292 5524/6216/5300 5523/6215/5299 5515/6202/5291 +f 5517/6206/5293 5525/6217/5301 5524/6216/5300 5516/6204/5292 +f 5518/6208/5294 5526/6218/5302 5525/6217/5301 5517/6206/5293 +f 5519/6210/5295 5527/6219/5303 5526/6218/5302 5518/6208/5294 +f 5520/6195/5289 5528/6212/5297 5527/6219/5303 5519/6210/5295 +f 5521/6211/5296 5529/6220/5304 5536/6221/5305 5528/6212/5297 +f 5522/6213/5298 5530/6222/5306 5529/6223/5304 5521/6214/5296 +f 5523/6215/5299 5531/6224/5307 5530/6222/5306 5522/6213/5298 +f 5524/6216/5300 5532/6225/5308 5531/6224/5307 5523/6215/5299 +f 5525/6217/5301 5533/6226/5309 5532/6225/5308 5524/6216/5300 +f 5526/6218/5302 5534/6227/5310 5533/6226/5309 5525/6217/5301 +f 5527/6219/5303 5535/6228/5311 5534/6227/5310 5526/6218/5302 +f 5528/6212/5297 5536/6221/5305 5535/6228/5311 5527/6219/5303 +f 5529/6220/5304 5537/6229/5312 5544/6230/5313 5536/6221/5305 +f 5530/6222/5306 5538/6231/5314 5537/6232/5312 5529/6223/5304 +f 5531/6224/5307 5539/6233/5315 5538/6231/5314 5530/6222/5306 +f 5532/6225/5308 5540/6234/5316 5539/6233/5315 5531/6224/5307 +f 5533/6226/5309 5541/6235/5317 5540/6234/5316 5532/6225/5308 +f 5534/6227/5310 5542/6236/5318 5541/6235/5317 5533/6226/5309 +f 5535/6228/5311 5543/6237/5319 5542/6236/5318 5534/6227/5310 +f 5536/6221/5305 5544/6230/5313 5543/6237/5319 5535/6228/5311 +f 5537/6229/5312 5545/6238/5320 5552/6239/5321 5544/6230/5313 +f 5538/6231/5314 5546/6240/5322 5545/6241/5320 5537/6232/5312 +f 5539/6233/5315 5547/6242/5323 5546/6240/5322 5538/6231/5314 +f 5540/6234/5316 5548/6243/5324 5547/6242/5323 5539/6233/5315 +f 5541/6235/5317 5549/6244/5325 5548/6243/5324 5540/6234/5316 +f 5542/6236/5318 5550/6245/5326 5549/6244/5325 5541/6235/5317 +f 5543/6237/5319 5551/6246/5327 5550/6245/5326 5542/6236/5318 +f 5544/6230/5313 5552/6239/5321 5551/6246/5327 5543/6237/5319 +f 5545/6238/5320 5553/6247/5328 5560/6248/5329 5552/6239/5321 +f 5546/6240/5322 5554/6249/5330 5553/6250/5328 5545/6241/5320 +f 5547/6242/5323 5555/6251/5331 5554/6249/5330 5546/6240/5322 +f 5548/6243/5324 5556/6252/5332 5555/6251/5331 5547/6242/5323 +f 5549/6244/5325 5557/6253/5333 5556/6252/5332 5548/6243/5324 +f 5550/6245/5326 5558/6254/5334 5557/6253/5333 5549/6244/5325 +f 5551/6246/5327 5559/6255/5335 5558/6254/5334 5550/6245/5326 +f 5552/6239/5321 5560/6248/5329 5559/6255/5335 5551/6246/5327 +f 5553/6247/5328 5561/6256/5312 5568/6257/5313 5560/6248/5329 +f 5554/6249/5330 5562/6258/5314 5561/6259/5312 5553/6250/5328 +f 5555/6251/5331 5563/6260/5336 5562/6258/5314 5554/6249/5330 +f 5556/6252/5332 5564/6261/5316 5563/6260/5336 5555/6251/5331 +f 5557/6253/5333 5565/6262/5317 5564/6261/5316 5556/6252/5332 +f 5558/6254/5334 5566/6263/5318 5565/6262/5317 5557/6253/5333 +f 5559/6255/5335 5567/6264/5337 5566/6263/5318 5558/6254/5334 +f 5560/6248/5329 5568/6257/5313 5567/6264/5337 5559/6255/5335 +f 5561/6256/5312 5569/6265/5320 5576/6266/5338 5568/6257/5313 +f 5562/6258/5314 5570/6267/5322 5569/6268/5320 5561/6259/5312 +f 5563/6260/5336 5571/6269/5323 5570/6267/5322 5562/6258/5314 +f 5564/6261/5316 5572/6270/5339 5571/6269/5323 5563/6260/5336 +f 5565/6262/5317 5573/6271/5340 5572/6270/5339 5564/6261/5316 +f 5566/6263/5318 5574/6272/5326 5573/6271/5340 5565/6262/5317 +f 5567/6264/5337 5575/6273/5327 5574/6272/5326 5566/6263/5318 +f 5568/6257/5313 5576/6266/5338 5575/6273/5327 5567/6264/5337 +f 5569/6265/5320 5577/6274/5341 5584/6275/5342 5576/6266/5338 +f 5570/6267/5322 5578/6276/5343 5577/6277/5341 5569/6268/5320 +f 5571/6269/5323 5579/6278/5331 5578/6276/5343 5570/6267/5322 +f 5572/6270/5339 5580/6279/5344 5579/6278/5331 5571/6269/5323 +f 5573/6271/5340 5581/6280/5345 5580/6279/5344 5572/6270/5339 +f 5574/6272/5326 5582/6281/5334 5581/6280/5345 5573/6271/5340 +f 5575/6273/5327 5583/6282/5346 5582/6281/5334 5574/6272/5326 +f 5576/6266/5338 5584/6275/5342 5583/6282/5346 5575/6273/5327 +f 5585/6283/5347 5593/6284/5347 5600/6285/5348 5592/6286/5348 +f 5586/6287/5349 5594/6288/5349 5593/6289/5347 5585/6290/5347 +f 5587/6291/5350 5595/6292/5350 5594/6288/5349 5586/6287/5349 +f 5588/6293/5351 5596/6294/5352 5595/6292/5350 5587/6291/5350 +f 5589/6295/5353 5597/6296/5353 5596/6294/5352 5588/6293/5351 +f 5590/6297/5354 5598/6298/5354 5597/6296/5353 5589/6295/5353 +f 5591/6299/5355 5599/6300/5355 5598/6298/5354 5590/6297/5354 +f 5592/6286/5348 5600/6285/5348 5599/6300/5355 5591/6299/5355 +f 5593/6284/5347 5601/6301/5356 5608/6302/5357 5600/6285/5348 +f 5594/6288/5349 5602/6303/5358 5601/6304/5356 5593/6289/5347 +f 5595/6292/5350 5603/6305/5359 5602/6303/5358 5594/6288/5349 +f 5596/6294/5352 5604/6306/5360 5603/6305/5359 5595/6292/5350 +f 5597/6296/5353 5605/6307/5361 5604/6306/5360 5596/6294/5352 +f 5598/6298/5354 5606/6308/5362 5605/6307/5361 5597/6296/5353 +f 5599/6300/5355 5607/6309/5363 5606/6308/5362 5598/6298/5354 +f 5600/6285/5348 5608/6302/5357 5607/6309/5363 5599/6300/5355 +f 5601/6301/5356 5609/6310/5364 5616/6311/5365 5608/6302/5357 +f 5602/6303/5358 5610/6312/5366 5609/6313/5364 5601/6304/5356 +f 5603/6305/5359 5611/6314/5367 5610/6312/5366 5602/6303/5358 +f 5604/6306/5360 5612/6315/5368 5611/6314/5367 5603/6305/5359 +f 5605/6307/5361 5613/6316/5369 5612/6315/5368 5604/6306/5360 +f 5606/6308/5362 5614/6317/5370 5613/6316/5369 5605/6307/5361 +f 5607/6309/5363 5615/6318/5371 5614/6317/5370 5606/6308/5362 +f 5608/6302/5357 5616/6311/5365 5615/6318/5371 5607/6309/5363 +f 5609/6310/5364 5617/6319/5372 5624/6320/5373 5616/6311/5365 +f 5610/6312/5366 5618/6321/5374 5617/6322/5372 5609/6313/5364 +f 5611/6314/5367 5619/6323/5375 5618/6321/5374 5610/6312/5366 +f 5612/6315/5368 5620/6324/5376 5619/6323/5375 5611/6314/5367 +f 5613/6316/5369 5621/6325/5377 5620/6324/5376 5612/6315/5368 +f 5614/6317/5370 5622/6326/5378 5621/6325/5377 5613/6316/5369 +f 5615/6318/5371 5623/6327/5379 5622/6326/5378 5614/6317/5370 +f 5616/6311/5365 5624/6320/5373 5623/6327/5379 5615/6318/5371 +f 5617/6319/5372 5625/6328/5380 5632/6329/5381 5624/6320/5373 +f 5618/6321/5374 5626/6330/5382 5625/6331/5380 5617/6322/5372 +f 5619/6323/5375 5627/6332/5383 5626/6330/5382 5618/6321/5374 +f 5620/6324/5376 5628/6333/5384 5627/6332/5383 5619/6323/5375 +f 5621/6325/5377 5629/6334/5385 5628/6333/5384 5620/6324/5376 +f 5622/6326/5378 5630/6335/5386 5629/6334/5385 5621/6325/5377 +f 5623/6327/5379 5631/6336/5387 5630/6335/5386 5622/6326/5378 +f 5624/6320/5373 5632/6329/5381 5631/6336/5387 5623/6327/5379 +f 5625/6328/5380 5633/6337/5388 5640/6338/5389 5632/6329/5381 +f 5626/6330/5382 5634/6339/5390 5633/6340/5388 5625/6331/5380 +f 5627/6332/5383 5635/6341/5391 5634/6339/5390 5626/6330/5382 +f 5628/6333/5384 5636/6342/5392 5635/6341/5391 5627/6332/5383 +f 5629/6334/5385 5637/6343/5393 5636/6342/5392 5628/6333/5384 +f 5630/6335/5386 5638/6344/5394 5637/6343/5393 5629/6334/5385 +f 5631/6336/5387 5639/6345/5395 5638/6344/5394 5630/6335/5386 +f 5632/6329/5381 5640/6338/5389 5639/6345/5395 5631/6336/5387 +f 5633/6337/5388 5641/6346/5372 5648/6347/5373 5640/6338/5389 +f 5634/6339/5390 5642/6348/5374 5641/6349/5372 5633/6340/5388 +f 5635/6341/5391 5643/6350/5375 5642/6348/5374 5634/6339/5390 +f 5636/6342/5392 5644/6351/5376 5643/6350/5375 5635/6341/5391 +f 5637/6343/5393 5645/6352/5377 5644/6351/5376 5636/6342/5392 +f 5638/6344/5394 5646/6353/5378 5645/6352/5377 5637/6343/5393 +f 5639/6345/5395 5647/6354/5379 5646/6353/5378 5638/6344/5394 +f 5640/6338/5389 5648/6347/5373 5647/6354/5379 5639/6345/5395 +f 5641/6346/5372 5649/6355/5380 5656/6356/5381 5648/6347/5373 +f 5642/6348/5374 5650/6357/5382 5649/6358/5380 5641/6349/5372 +f 5643/6350/5375 5651/6359/5383 5650/6357/5382 5642/6348/5374 +f 5644/6351/5376 5652/6360/5384 5651/6359/5383 5643/6350/5375 +f 5645/6352/5377 5653/6361/5385 5652/6360/5384 5644/6351/5376 +f 5646/6353/5378 5654/6362/5396 5653/6361/5385 5645/6352/5377 +f 5647/6354/5379 5655/6363/5397 5654/6362/5396 5646/6353/5378 +f 5648/6347/5373 5656/6356/5381 5655/6363/5397 5647/6354/5379 +f 5649/6355/5380 5657/6364/5398 5664/6365/5399 5656/6356/5381 +f 5650/6357/5382 5658/6366/5390 5657/6367/5398 5649/6358/5380 +f 5651/6359/5383 5659/6368/5400 5658/6366/5390 5650/6357/5382 +f 5652/6360/5384 5660/6369/5401 5659/6368/5400 5651/6359/5383 +f 5653/6361/5385 5661/6370/5402 5660/6369/5401 5652/6360/5384 +f 5654/6362/5396 5662/6371/5394 5661/6370/5402 5653/6361/5385 +f 5655/6363/5397 5663/6372/5395 5662/6371/5394 5654/6362/5396 +f 5656/6356/5381 5664/6365/5399 5663/6372/5395 5655/6363/5397 +f 5665/6373/5403 5673/6374/5403 5680/6375/5404 5672/6376/5405 +f 5666/6377/5406 5674/6378/5407 5673/6379/5403 5665/6380/5403 +f 5667/6381/5408 5675/6382/5408 5674/6378/5407 5666/6377/5406 +f 5668/6383/5409 5676/6384/5409 5675/6382/5408 5667/6381/5408 +f 5669/6385/5410 5677/6386/5411 5676/6384/5409 5668/6383/5409 +f 5670/6387/5412 5678/6388/5413 5677/6386/5411 5669/6385/5410 +f 5671/6389/5414 5679/6390/5415 5678/6388/5413 5670/6387/5412 +f 5672/6376/5405 5680/6375/5404 5679/6390/5415 5671/6389/5414 +f 5673/6374/5403 5681/6391/5416 5688/6392/5417 5680/6375/5404 +f 5674/6378/5407 5682/6393/5418 5681/6394/5416 5673/6379/5403 +f 5675/6382/5408 5683/6395/5419 5682/6393/5418 5674/6378/5407 +f 5676/6384/5409 5684/6396/5420 5683/6395/5419 5675/6382/5408 +f 5677/6386/5411 5685/6397/5421 5684/6396/5420 5676/6384/5409 +f 5678/6388/5413 5686/6398/5422 5685/6397/5421 5677/6386/5411 +f 5679/6390/5415 5687/6399/5423 5686/6398/5422 5678/6388/5413 +f 5680/6375/5404 5688/6392/5417 5687/6399/5423 5679/6390/5415 +f 5681/6391/5416 5689/6400/5424 5696/6401/5425 5688/6392/5417 +f 5682/6393/5418 5690/6402/5426 5689/6403/5424 5681/6394/5416 +f 5683/6395/5419 5691/6404/5427 5690/6402/5426 5682/6393/5418 +f 5684/6396/5420 5692/6405/5428 5691/6404/5427 5683/6395/5419 +f 5685/6397/5421 5693/6406/5429 5692/6405/5428 5684/6396/5420 +f 5686/6398/5422 5694/6407/5430 5693/6406/5429 5685/6397/5421 +f 5687/6399/5423 5695/6408/5431 5694/6407/5430 5686/6398/5422 +f 5688/6392/5417 5696/6401/5425 5695/6408/5431 5687/6399/5423 +f 5689/6400/5424 5697/6409/5432 5704/6410/5433 5696/6401/5425 +f 5690/6402/5426 5698/6411/5434 5697/6412/5432 5689/6403/5424 +f 5691/6404/5427 5699/6413/5435 5698/6411/5434 5690/6402/5426 +f 5692/6405/5428 5700/6414/5436 5699/6413/5435 5691/6404/5427 +f 5693/6406/5429 5701/6415/5437 5700/6414/5436 5692/6405/5428 +f 5694/6407/5430 5702/6416/5438 5701/6415/5437 5693/6406/5429 +f 5695/6408/5431 5703/6417/5439 5702/6416/5438 5694/6407/5430 +f 5696/6401/5425 5704/6410/5433 5703/6417/5439 5695/6408/5431 +f 5697/6409/5432 5705/6418/5440 5712/6419/5433 5704/6410/5433 +f 5698/6411/5434 5706/6420/5434 5705/6421/5440 5697/6412/5432 +f 5699/6413/5435 5707/6422/5435 5706/6420/5434 5698/6411/5434 +f 5700/6414/5436 5708/6423/5441 5707/6422/5435 5699/6413/5435 +f 5701/6415/5437 5709/6424/5442 5708/6423/5441 5700/6414/5436 +f 5702/6416/5438 5710/6425/5443 5709/6424/5442 5701/6415/5437 +f 5703/6417/5439 5711/6426/5444 5710/6425/5443 5702/6416/5438 +f 5704/6410/5433 5712/6419/5433 5711/6426/5444 5703/6417/5439 +f 5705/6418/5440 5713/6427/5445 5720/6428/5446 5712/6419/5433 +f 5706/6420/5434 5714/6429/5447 5713/6430/5445 5705/6421/5440 +f 5707/6422/5435 5715/6431/5448 5714/6429/5447 5706/6420/5434 +f 5708/6423/5441 5716/6432/5449 5715/6431/5448 5707/6422/5435 +f 5709/6424/5442 5717/6433/5450 5716/6432/5449 5708/6423/5441 +f 5710/6425/5443 5718/6434/5451 5717/6433/5450 5709/6424/5442 +f 5711/6426/5444 5719/6435/5452 5718/6434/5451 5710/6425/5443 +f 5712/6419/5433 5720/6428/5446 5719/6435/5452 5711/6426/5444 +f 5713/6427/5445 5721/6436/5453 5728/6437/5404 5720/6428/5446 +f 5714/6429/5447 5722/6438/5434 5721/6439/5453 5713/6430/5445 +f 5715/6431/5448 5723/6440/5435 5722/6438/5434 5714/6429/5447 +f 5716/6432/5449 5724/6441/5454 5723/6440/5435 5715/6431/5448 +f 5717/6433/5450 5725/6442/5455 5724/6441/5454 5716/6432/5449 +f 5718/6434/5451 5726/6443/5456 5725/6442/5455 5717/6433/5450 +f 5719/6435/5452 5727/6444/5457 5726/6443/5456 5718/6434/5451 +f 5720/6428/5446 5728/6437/5404 5727/6444/5457 5719/6435/5452 +f 5721/6436/5453 5729/6445/5458 5736/6446/5405 5728/6437/5404 +f 5722/6438/5434 5730/6447/5434 5729/6448/5458 5721/6439/5453 +f 5723/6440/5435 5731/6449/5408 5730/6447/5434 5722/6438/5434 +f 5724/6441/5454 5732/6450/5454 5731/6449/5408 5723/6440/5435 +f 5725/6442/5455 5733/6451/5459 5732/6450/5454 5724/6441/5454 +f 5726/6443/5456 5734/6452/5460 5733/6451/5459 5725/6442/5455 +f 5727/6444/5457 5735/6453/5444 5734/6452/5460 5726/6443/5456 +f 5728/6437/5404 5736/6446/5405 5735/6453/5444 5727/6444/5457 +f 5729/6445/5458 5737/6454/5461 5744/6455/5462 5736/6446/5405 +f 5730/6447/5434 5738/6456/5426 5737/6457/5461 5729/6448/5458 +f 5731/6449/5408 5739/6458/5463 5738/6456/5426 5730/6447/5434 +f 5732/6450/5454 5740/6459/5464 5739/6458/5463 5731/6449/5408 +f 5733/6451/5459 5741/6460/5465 5740/6459/5464 5732/6450/5454 +f 5734/6452/5460 5742/6461/5451 5741/6460/5465 5733/6451/5459 +f 5735/6453/5444 5743/6462/5466 5742/6461/5451 5734/6452/5460 +f 5736/6446/5405 5744/6455/5462 5743/6462/5466 5735/6453/5444 +f 5745/6463/5467 5753/6464/5467 5760/6465/5468 5752/6466/5468 +f 5746/6467/5469 5754/6468/5469 5753/6469/5467 5745/6470/5467 +f 5747/6471/5470 5755/6472/5470 5754/6468/5469 5746/6467/5469 +f 5748/6473/5471 5756/6474/5471 5755/6472/5470 5747/6471/5470 +f 5749/6475/5472 5757/6476/5472 5756/6474/5471 5748/6473/5471 +f 5750/6477/5473 5758/6478/5473 5757/6476/5472 5749/6475/5472 +f 5751/6479/5474 5759/6480/5474 5758/6478/5473 5750/6477/5473 +f 5752/6466/5468 5760/6465/5468 5759/6480/5474 5751/6479/5474 +f 5753/6464/5467 5761/6481/5475 5768/6482/5476 5760/6465/5468 +f 5754/6468/5469 5762/6483/5477 5761/6484/5475 5753/6469/5467 +f 5755/6472/5470 5763/6485/5478 5762/6483/5477 5754/6468/5469 +f 5756/6474/5471 5764/6486/5479 5763/6485/5478 5755/6472/5470 +f 5757/6476/5472 5765/6487/5480 5764/6486/5479 5756/6474/5471 +f 5758/6478/5473 5766/6488/5481 5765/6487/5480 5757/6476/5472 +f 5759/6480/5474 5767/6489/5482 5766/6488/5481 5758/6478/5473 +f 5760/6465/5468 5768/6482/5476 5767/6489/5482 5759/6480/5474 +f 5761/6481/5475 5769/6490/5483 5776/6491/5484 5768/6482/5476 +f 5762/6483/5477 5770/6492/5485 5769/6493/5483 5761/6484/5475 +f 5763/6485/5478 5771/6494/5486 5770/6492/5485 5762/6483/5477 +f 5764/6486/5479 5772/6495/5487 5771/6494/5486 5763/6485/5478 +f 5765/6487/5480 5773/6496/5488 5772/6495/5487 5764/6486/5479 +f 5766/6488/5481 5774/6497/5489 5773/6496/5488 5765/6487/5480 +f 5767/6489/5482 5775/6498/5490 5774/6497/5489 5766/6488/5481 +f 5768/6482/5476 5776/6491/5484 5775/6498/5490 5767/6489/5482 +f 5769/6490/5483 5777/6499/5491 5784/6500/5492 5776/6491/5484 +f 5770/6492/5485 5778/6501/5493 5777/6502/5491 5769/6493/5483 +f 5771/6494/5486 5779/6503/5494 5778/6501/5493 5770/6492/5485 +f 5772/6495/5487 5780/6504/5495 5779/6503/5494 5771/6494/5486 +f 5773/6496/5488 5781/6505/5496 5780/6504/5495 5772/6495/5487 +f 5774/6497/5489 5782/6506/5497 5781/6505/5496 5773/6496/5488 +f 5775/6498/5490 5783/6507/5498 5782/6506/5497 5774/6497/5489 +f 5776/6491/5484 5784/6500/5492 5783/6507/5498 5775/6498/5490 +f 5777/6499/5491 5785/6508/5499 5792/6509/5500 5784/6500/5492 +f 5778/6501/5493 5786/6510/5501 5785/6511/5499 5777/6502/5491 +f 5779/6503/5494 5787/6512/5502 5786/6510/5501 5778/6501/5493 +f 5780/6504/5495 5788/6513/5503 5787/6512/5502 5779/6503/5494 +f 5781/6505/5496 5789/6514/5504 5788/6513/5503 5780/6504/5495 +f 5782/6506/5497 5790/6515/5505 5789/6514/5504 5781/6505/5496 +f 5783/6507/5498 5791/6516/5506 5790/6515/5505 5782/6506/5497 +f 5784/6500/5492 5792/6509/5500 5791/6516/5506 5783/6507/5498 +f 5785/6508/5499 5793/6517/5507 5800/6518/5508 5792/6509/5500 +f 5786/6510/5501 5794/6519/5509 5793/6520/5507 5785/6511/5499 +f 5787/6512/5502 5795/6521/5510 5794/6519/5509 5786/6510/5501 +f 5788/6513/5503 5796/6522/5511 5795/6521/5510 5787/6512/5502 +f 5789/6514/5504 5797/6523/5512 5796/6522/5511 5788/6513/5503 +f 5790/6515/5505 5798/6524/5513 5797/6523/5512 5789/6514/5504 +f 5791/6516/5506 5799/6525/5514 5798/6524/5513 5790/6515/5505 +f 5792/6509/5500 5800/6518/5508 5799/6525/5514 5791/6516/5506 +f 5793/6517/5507 5801/6526/5491 5808/6527/5492 5800/6518/5508 +f 5794/6519/5509 5802/6528/5493 5801/6529/5491 5793/6520/5507 +f 5795/6521/5510 5803/6530/5494 5802/6528/5493 5794/6519/5509 +f 5796/6522/5511 5804/6531/5495 5803/6530/5494 5795/6521/5510 +f 5797/6523/5512 5805/6532/5496 5804/6531/5495 5796/6522/5511 +f 5798/6524/5513 5806/6533/5497 5805/6532/5496 5797/6523/5512 +f 5799/6525/5514 5807/6534/5498 5806/6533/5497 5798/6524/5513 +f 5800/6518/5508 5808/6527/5492 5807/6534/5498 5799/6525/5514 +f 5801/6526/5491 5809/6535/5515 5816/6536/5500 5808/6527/5492 +f 5802/6528/5493 5810/6537/5501 5809/6538/5515 5801/6529/5491 +f 5803/6530/5494 5811/6539/5502 5810/6537/5501 5802/6528/5493 +f 5804/6531/5495 5812/6540/5516 5811/6539/5502 5803/6530/5494 +f 5805/6532/5496 5813/6541/5517 5812/6540/5516 5804/6531/5495 +f 5806/6533/5497 5814/6542/5518 5813/6541/5517 5805/6532/5496 +f 5807/6534/5498 5815/6543/5506 5814/6542/5518 5806/6533/5497 +f 5808/6527/5492 5816/6536/5500 5815/6543/5506 5807/6534/5498 +f 5809/6535/5515 5817/6544/5519 5824/6545/5520 5816/6536/5500 +f 5810/6537/5501 5818/6546/5521 5817/6547/5519 5809/6538/5515 +f 5811/6539/5502 5819/6548/5510 5818/6546/5521 5810/6537/5501 +f 5812/6540/5516 5820/6549/5511 5819/6548/5510 5811/6539/5502 +f 5813/6541/5517 5821/6550/5512 5820/6549/5511 5812/6540/5516 +f 5814/6542/5518 5822/6551/5522 5821/6550/5512 5813/6541/5517 +f 5815/6543/5506 5823/6552/5523 5822/6551/5522 5814/6542/5518 +f 5816/6536/5500 5824/6545/5520 5823/6552/5523 5815/6543/5506 +f 5825/6553/5524 5833/6554/5524 5840/6555/5525 5832/6556/5525 +f 5826/6557/5526 5834/6558/5526 5833/6559/5524 5825/6560/5524 +f 5827/6561/5527 5835/6562/5527 5834/6558/5526 5826/6557/5526 +f 5828/6563/5528 5836/6564/5528 5835/6562/5527 5827/6561/5527 +f 5829/6565/5529 5837/6566/5529 5836/6564/5528 5828/6563/5528 +f 5830/6567/5530 5838/6568/5530 5837/6566/5529 5829/6565/5529 +f 5831/6569/5531 5839/6570/5531 5838/6568/5530 5830/6567/5530 +f 5832/6556/5525 5840/6555/5525 5839/6570/5531 5831/6569/5531 +f 5833/6554/5524 5841/6571/5532 5848/6572/5533 5840/6555/5525 +f 5834/6558/5526 5842/6573/5534 5841/6574/5532 5833/6559/5524 +f 5835/6562/5527 5843/6575/5535 5842/6573/5534 5834/6558/5526 +f 5836/6564/5528 5844/6576/5536 5843/6575/5535 5835/6562/5527 +f 5837/6566/5529 5845/6577/5537 5844/6576/5536 5836/6564/5528 +f 5838/6568/5530 5846/6578/5538 5845/6577/5537 5837/6566/5529 +f 5839/6570/5531 5847/6579/5539 5846/6578/5538 5838/6568/5530 +f 5840/6555/5525 5848/6572/5533 5847/6579/5539 5839/6570/5531 +f 5841/6571/5532 5849/6580/5540 5856/6581/5541 5848/6572/5533 +f 5842/6573/5534 5850/6582/5542 5849/6583/5540 5841/6574/5532 +f 5843/6575/5535 5851/6584/5543 5850/6582/5542 5842/6573/5534 +f 5844/6576/5536 5852/6585/5544 5851/6584/5543 5843/6575/5535 +f 5845/6577/5537 5853/6586/5545 5852/6585/5544 5844/6576/5536 +f 5846/6578/5538 5854/6587/5546 5853/6586/5545 5845/6577/5537 +f 5847/6579/5539 5855/6588/5547 5854/6587/5546 5846/6578/5538 +f 5848/6572/5533 5856/6581/5541 5855/6588/5547 5847/6579/5539 +f 5849/6580/5540 5857/6589/5548 5864/6590/5549 5856/6581/5541 +f 5850/6582/5542 5858/6591/5550 5857/6592/5548 5849/6583/5540 +f 5851/6584/5543 5859/6593/5551 5858/6591/5550 5850/6582/5542 +f 5852/6585/5544 5860/6594/5552 5859/6593/5551 5851/6584/5543 +f 5853/6586/5545 5861/6595/5553 5860/6594/5552 5852/6585/5544 +f 5854/6587/5546 5862/6596/5554 5861/6595/5553 5853/6586/5545 +f 5855/6588/5547 5863/6597/5555 5862/6596/5554 5854/6587/5546 +f 5856/6581/5541 5864/6590/5549 5863/6597/5555 5855/6588/5547 +f 5857/6589/5548 5865/6598/5556 5872/6599/5557 5864/6590/5549 +f 5858/6591/5550 5866/6600/5558 5865/6601/5556 5857/6592/5548 +f 5859/6593/5551 5867/6602/5559 5866/6600/5558 5858/6591/5550 +f 5860/6594/5552 5868/6603/5560 5867/6602/5559 5859/6593/5551 +f 5861/6595/5553 5869/6604/5561 5868/6603/5560 5860/6594/5552 +f 5862/6596/5554 5870/6605/5562 5869/6604/5561 5861/6595/5553 +f 5863/6597/5555 5871/6606/5563 5870/6605/5562 5862/6596/5554 +f 5864/6590/5549 5872/6599/5557 5871/6606/5563 5863/6597/5555 +f 5865/6598/5556 5873/6607/5564 5880/6608/5565 5872/6599/5557 +f 5866/6600/5558 5874/6609/5566 5873/6610/5564 5865/6601/5556 +f 5867/6602/5559 5875/6611/5567 5874/6609/5566 5866/6600/5558 +f 5868/6603/5560 5876/6612/5568 5875/6611/5567 5867/6602/5559 +f 5869/6604/5561 5877/6613/5569 5876/6612/5568 5868/6603/5560 +f 5870/6605/5562 5878/6614/5570 5877/6613/5569 5869/6604/5561 +f 5871/6606/5563 5879/6615/5571 5878/6614/5570 5870/6605/5562 +f 5872/6599/5557 5880/6608/5565 5879/6615/5571 5871/6606/5563 +f 5873/6607/5564 5881/6616/5548 5888/6617/5572 5880/6608/5565 +f 5874/6609/5566 5882/6618/5550 5881/6619/5548 5873/6610/5564 +f 5875/6611/5567 5883/6620/5551 5882/6618/5550 5874/6609/5566 +f 5876/6612/5568 5884/6621/5552 5883/6620/5551 5875/6611/5567 +f 5877/6613/5569 5885/6622/5553 5884/6621/5552 5876/6612/5568 +f 5878/6614/5570 5886/6623/5554 5885/6622/5553 5877/6613/5569 +f 5879/6615/5571 5887/6624/5573 5886/6623/5554 5878/6614/5570 +f 5880/6608/5565 5888/6617/5572 5887/6624/5573 5879/6615/5571 +f 5881/6616/5548 5889/6625/5574 5896/6626/5557 5888/6617/5572 +f 5882/6618/5550 5890/6627/5558 5889/6628/5574 5881/6619/5548 +f 5883/6620/5551 5891/6629/5575 5890/6627/5558 5882/6618/5550 +f 5884/6621/5552 5892/6630/5560 5891/6629/5575 5883/6620/5551 +f 5885/6622/5553 5893/6631/5561 5892/6630/5560 5884/6621/5552 +f 5886/6623/5554 5894/6632/5576 5893/6631/5561 5885/6622/5553 +f 5887/6624/5573 5895/6633/5563 5894/6632/5576 5886/6623/5554 +f 5888/6617/5572 5896/6626/5557 5895/6633/5563 5887/6624/5573 +f 5889/6625/5574 5897/6634/5577 5904/6635/5578 5896/6626/5557 +f 5890/6627/5558 5898/6636/5579 5897/6637/5577 5889/6628/5574 +f 5891/6629/5575 5899/6638/5580 5898/6636/5579 5890/6627/5558 +f 5892/6630/5560 5900/6639/5581 5899/6638/5580 5891/6629/5575 +f 5893/6631/5561 5901/6640/5582 5900/6639/5581 5892/6630/5560 +f 5894/6632/5576 5902/6641/5570 5901/6640/5582 5893/6631/5561 +f 5895/6633/5563 5903/6642/5583 5902/6641/5570 5894/6632/5576 +f 5896/6626/5557 5904/6635/5578 5903/6642/5583 5895/6633/5563 +f 5905/6643/5584 5913/6644/5584 5920/6645/5585 5912/6646/5585 +f 5906/6647/5586 5914/6648/5586 5913/6649/5584 5905/6650/5584 +f 5907/6651/5587 5915/6652/5588 5914/6648/5586 5906/6647/5586 +f 5908/6653/5589 5916/6654/5589 5915/6652/5588 5907/6651/5587 +f 5909/6655/5590 5917/6656/5590 5916/6654/5589 5908/6653/5589 +f 5910/6657/5591 5918/6658/5591 5917/6656/5590 5909/6655/5590 +f 5911/6659/5592 5919/6660/5592 5918/6658/5591 5910/6657/5591 +f 5912/6646/5585 5920/6645/5585 5919/6660/5592 5911/6659/5592 +f 5913/6644/5584 5921/6661/5593 5928/6662/5594 5920/6645/5585 +f 5914/6648/5586 5922/6663/5595 5921/6664/5593 5913/6649/5584 +f 5915/6652/5588 5923/6665/5596 5922/6663/5595 5914/6648/5586 +f 5916/6654/5589 5924/6666/5597 5923/6665/5596 5915/6652/5588 +f 5917/6656/5590 5925/6667/5598 5924/6666/5597 5916/6654/5589 +f 5918/6658/5591 5926/6668/5599 5925/6667/5598 5917/6656/5590 +f 5919/6660/5592 5927/6669/5600 5926/6668/5599 5918/6658/5591 +f 5920/6645/5585 5928/6662/5594 5927/6669/5600 5919/6660/5592 +f 5921/6661/5593 5929/6670/5601 5936/6671/5602 5928/6662/5594 +f 5922/6663/5595 5930/6672/5603 5929/6673/5601 5921/6664/5593 +f 5923/6665/5596 5931/6674/5604 5930/6672/5603 5922/6663/5595 +f 5924/6666/5597 5932/6675/5605 5931/6674/5604 5923/6665/5596 +f 5925/6667/5598 5933/6676/5606 5932/6675/5605 5924/6666/5597 +f 5926/6668/5599 5934/6677/5607 5933/6676/5606 5925/6667/5598 +f 5927/6669/5600 5935/6678/5608 5934/6677/5607 5926/6668/5599 +f 5928/6662/5594 5936/6671/5602 5935/6678/5608 5927/6669/5600 +f 5929/6670/5601 5937/6679/5609 5944/6680/5610 5936/6671/5602 +f 5930/6672/5603 5938/6681/5611 5937/6682/5609 5929/6673/5601 +f 5931/6674/5604 5939/6683/5612 5938/6681/5611 5930/6672/5603 +f 5932/6675/5605 5940/6684/5613 5939/6683/5612 5931/6674/5604 +f 5933/6676/5606 5941/6685/5614 5940/6684/5613 5932/6675/5605 +f 5934/6677/5607 5942/6686/5615 5941/6685/5614 5933/6676/5606 +f 5935/6678/5608 5943/6687/5616 5942/6686/5615 5934/6677/5607 +f 5936/6671/5602 5944/6680/5610 5943/6687/5616 5935/6678/5608 +f 5937/6679/5609 5945/6688/5617 5952/6689/5618 5944/6680/5610 +f 5938/6681/5611 5946/6690/5619 5945/6691/5617 5937/6682/5609 +f 5939/6683/5612 5947/6692/5620 5946/6690/5619 5938/6681/5611 +f 5940/6684/5613 5948/6693/5621 5947/6692/5620 5939/6683/5612 +f 5941/6685/5614 5949/6694/5622 5948/6693/5621 5940/6684/5613 +f 5942/6686/5615 5950/6695/5623 5949/6694/5622 5941/6685/5614 +f 5943/6687/5616 5951/6696/5624 5950/6695/5623 5942/6686/5615 +f 5944/6680/5610 5952/6689/5618 5951/6696/5624 5943/6687/5616 +f 5945/6688/5617 5953/6697/5625 5960/6698/5626 5952/6689/5618 +f 5946/6690/5619 5954/6699/5627 5953/6700/5625 5945/6691/5617 +f 5947/6692/5620 5955/6701/5628 5954/6699/5627 5946/6690/5619 +f 5948/6693/5621 5956/6702/5629 5955/6701/5628 5947/6692/5620 +f 5949/6694/5622 5957/6703/5630 5956/6702/5629 5948/6693/5621 +f 5950/6695/5623 5958/6704/5631 5957/6703/5630 5949/6694/5622 +f 5951/6696/5624 5959/6705/5632 5958/6704/5631 5950/6695/5623 +f 5952/6689/5618 5960/6698/5626 5959/6705/5632 5951/6696/5624 +f 5953/6697/5625 5961/6706/5633 5968/6707/5634 5960/6698/5626 +f 5954/6699/5627 5962/6708/5635 5961/6709/5633 5953/6700/5625 +f 5955/6701/5628 5963/6710/5636 5962/6708/5635 5954/6699/5627 +f 5956/6702/5629 5964/6711/5637 5963/6710/5636 5955/6701/5628 +f 5957/6703/5630 5965/6712/5638 5964/6711/5637 5956/6702/5629 +f 5958/6704/5631 5966/6713/5639 5965/6712/5638 5957/6703/5630 +f 5959/6705/5632 5967/6714/5640 5966/6713/5639 5958/6704/5631 +f 5960/6698/5626 5968/6707/5634 5967/6714/5640 5959/6705/5632 +f 5961/6706/5633 5969/6715/5641 5976/6716/5642 5968/6707/5634 +f 5962/6708/5635 5970/6717/5643 5969/6718/5641 5961/6709/5633 +f 5963/6710/5636 5971/6719/5644 5970/6717/5643 5962/6708/5635 +f 5964/6711/5637 5972/6720/5645 5971/6719/5644 5963/6710/5636 +f 5965/6712/5638 5973/6721/5646 5972/6720/5645 5964/6711/5637 +f 5966/6713/5639 5974/6722/5647 5973/6721/5646 5965/6712/5638 +f 5967/6714/5640 5975/6723/5648 5974/6722/5647 5966/6713/5639 +f 5968/6707/5634 5976/6716/5642 5975/6723/5648 5967/6714/5640 +f 5969/6715/5641 5977/6724/5649 5984/6725/5650 5976/6716/5642 +f 5970/6717/5643 5978/6726/5651 5977/6727/5649 5969/6718/5641 +f 5971/6719/5644 5979/6728/5652 5978/6726/5651 5970/6717/5643 +f 5972/6720/5645 5980/6729/5653 5979/6728/5652 5971/6719/5644 +f 5973/6721/5646 5981/6730/5654 5980/6729/5653 5972/6720/5645 +f 5974/6722/5647 5982/6731/5655 5981/6730/5654 5973/6721/5646 +f 5975/6723/5648 5983/6732/5656 5982/6731/5655 5974/6722/5647 +f 5976/6716/5642 5984/6725/5650 5983/6732/5656 5975/6723/5648 +f 5985/6733/5657 5993/6734/5657 6000/6735/5658 5992/6736/5658 +f 5986/6737/5659 5994/6738/5659 5993/6739/5657 5985/6740/5657 +f 5987/6741/5660 5995/6742/5660 5994/6738/5659 5986/6737/5659 +f 5988/6743/5661 5996/6744/5661 5995/6742/5660 5987/6741/5660 +f 5989/6745/5662 5997/6746/5662 5996/6744/5661 5988/6743/5661 +f 5990/6747/5663 5998/6748/5663 5997/6746/5662 5989/6745/5662 +f 5991/6749/5664 5999/6750/5664 5998/6748/5663 5990/6747/5663 +f 5992/6736/5658 6000/6735/5658 5999/6750/5664 5991/6749/5664 +f 5993/6734/5657 6001/6751/5665 6008/6752/5666 6000/6735/5658 +f 5994/6738/5659 6002/6753/5667 6001/6754/5665 5993/6739/5657 +f 5995/6742/5660 6003/6755/5668 6002/6753/5667 5994/6738/5659 +f 5996/6744/5661 6004/6756/5669 6003/6755/5668 5995/6742/5660 +f 5997/6746/5662 6005/6757/5670 6004/6756/5669 5996/6744/5661 +f 5998/6748/5663 6006/6758/5671 6005/6757/5670 5997/6746/5662 +f 5999/6750/5664 6007/6759/5672 6006/6758/5671 5998/6748/5663 +f 6000/6735/5658 6008/6752/5666 6007/6759/5672 5999/6750/5664 +f 6001/6751/5665 6009/6760/5673 6016/6761/5674 6008/6752/5666 +f 6002/6753/5667 6010/6762/5675 6009/6763/5673 6001/6754/5665 +f 6003/6755/5668 6011/6764/5676 6010/6762/5675 6002/6753/5667 +f 6004/6756/5669 6012/6765/5677 6011/6764/5676 6003/6755/5668 +f 6005/6757/5670 6013/6766/5678 6012/6765/5677 6004/6756/5669 +f 6006/6758/5671 6014/6767/5679 6013/6766/5678 6005/6757/5670 +f 6007/6759/5672 6015/6768/5680 6014/6767/5679 6006/6758/5671 +f 6008/6752/5666 6016/6761/5674 6015/6768/5680 6007/6759/5672 +f 6009/6760/5673 6017/6769/5681 6024/6770/5682 6016/6761/5674 +f 6010/6762/5675 6018/6771/5683 6017/6772/5681 6009/6763/5673 +f 6011/6764/5676 6019/6773/5684 6018/6771/5683 6010/6762/5675 +f 6012/6765/5677 6020/6774/5685 6019/6773/5684 6011/6764/5676 +f 6013/6766/5678 6021/6775/5686 6020/6774/5685 6012/6765/5677 +f 6014/6767/5679 6022/6776/5687 6021/6775/5686 6013/6766/5678 +f 6015/6768/5680 6023/6777/5688 6022/6776/5687 6014/6767/5679 +f 6016/6761/5674 6024/6770/5682 6023/6777/5688 6015/6768/5680 +f 6017/6769/5681 6025/6778/5689 6032/6779/5690 6024/6770/5682 +f 6018/6771/5683 6026/6780/5691 6025/6781/5689 6017/6772/5681 +f 6019/6773/5684 6027/6782/5692 6026/6780/5691 6018/6771/5683 +f 6020/6774/5685 6028/6783/5693 6027/6782/5692 6019/6773/5684 +f 6021/6775/5686 6029/6784/5694 6028/6783/5693 6020/6774/5685 +f 6022/6776/5687 6030/6785/5695 6029/6784/5694 6021/6775/5686 +f 6023/6777/5688 6031/6786/5696 6030/6785/5695 6022/6776/5687 +f 6024/6770/5682 6032/6779/5690 6031/6786/5696 6023/6777/5688 +f 6025/6778/5689 6033/6787/5697 6040/6788/5698 6032/6779/5690 +f 6026/6780/5691 6034/6789/5699 6033/6790/5697 6025/6781/5689 +f 6027/6782/5692 6035/6791/5700 6034/6789/5699 6026/6780/5691 +f 6028/6783/5693 6036/6792/5701 6035/6791/5700 6027/6782/5692 +f 6029/6784/5694 6037/6793/5702 6036/6792/5701 6028/6783/5693 +f 6030/6785/5695 6038/6794/5703 6037/6793/5702 6029/6784/5694 +f 6031/6786/5696 6039/6795/5704 6038/6794/5703 6030/6785/5695 +f 6032/6779/5690 6040/6788/5698 6039/6795/5704 6031/6786/5696 +f 6033/6787/5697 6041/6796/5681 6048/6797/5682 6040/6788/5698 +f 6034/6789/5699 6042/6798/5683 6041/6799/5681 6033/6790/5697 +f 6035/6791/5700 6043/6800/5684 6042/6798/5683 6034/6789/5699 +f 6036/6792/5701 6044/6801/5685 6043/6800/5684 6035/6791/5700 +f 6037/6793/5702 6045/6802/5686 6044/6801/5685 6036/6792/5701 +f 6038/6794/5703 6046/6803/5687 6045/6802/5686 6037/6793/5702 +f 6039/6795/5704 6047/6804/5705 6046/6803/5687 6038/6794/5703 +f 6040/6788/5698 6048/6797/5682 6047/6804/5705 6039/6795/5704 +f 6041/6796/5681 6049/6805/5689 6056/6806/5690 6048/6797/5682 +f 6042/6798/5683 6050/6807/5691 6049/6808/5689 6041/6799/5681 +f 6043/6800/5684 6051/6809/5692 6050/6807/5691 6042/6798/5683 +f 6044/6801/5685 6052/6810/5706 6051/6809/5692 6043/6800/5684 +f 6045/6802/5686 6053/6811/5694 6052/6810/5706 6044/6801/5685 +f 6046/6803/5687 6054/6812/5695 6053/6811/5694 6045/6802/5686 +f 6047/6804/5705 6055/6813/5707 6054/6812/5695 6046/6803/5687 +f 6048/6797/5682 6056/6806/5690 6055/6813/5707 6047/6804/5705 +f 6049/6805/5689 6057/6814/5708 6064/6815/5709 6056/6806/5690 +f 6050/6807/5691 6058/6816/5699 6057/6817/5708 6049/6808/5689 +f 6051/6809/5692 6059/6818/5700 6058/6816/5699 6050/6807/5691 +f 6052/6810/5706 6060/6819/5701 6059/6818/5700 6051/6809/5692 +f 6053/6811/5694 6061/6820/5702 6060/6819/5701 6052/6810/5706 +f 6054/6812/5695 6062/6821/5710 6061/6820/5702 6053/6811/5694 +f 6055/6813/5707 6063/6822/5711 6062/6821/5710 6054/6812/5695 +f 6056/6806/5690 6064/6815/5709 6063/6822/5711 6055/6813/5707 +f 6065/6823/5712 6073/6824/5712 6080/6825/5713 6072/6826/5713 +f 6066/6827/5714 6074/6828/5714 6073/6829/5712 6065/6830/5712 +f 6067/6831/5715 6075/6832/5715 6074/6828/5714 6066/6827/5714 +f 6068/6833/5716 6076/6834/5716 6075/6832/5715 6067/6831/5715 +f 6069/6835/5717 6077/6836/5717 6076/6834/5716 6068/6833/5716 +f 6070/6837/5718 6078/6838/5718 6077/6836/5717 6069/6835/5717 +f 6071/6839/5719 6079/6840/5719 6078/6838/5718 6070/6837/5718 +f 6072/6826/5713 6080/6825/5713 6079/6840/5719 6071/6839/5719 +f 6073/6824/5712 6081/6841/5720 6088/6842/5721 6080/6825/5713 +f 6074/6828/5714 6082/6843/5722 6081/6844/5720 6073/6829/5712 +f 6075/6832/5715 6083/6845/5723 6082/6843/5722 6074/6828/5714 +f 6076/6834/5716 6084/6846/5724 6083/6845/5723 6075/6832/5715 +f 6077/6836/5717 6085/6847/5725 6084/6846/5724 6076/6834/5716 +f 6078/6838/5718 6086/6848/5726 6085/6847/5725 6077/6836/5717 +f 6079/6840/5719 6087/6849/5727 6086/6848/5726 6078/6838/5718 +f 6080/6825/5713 6088/6842/5721 6087/6849/5727 6079/6840/5719 +f 6081/6841/5720 6089/6850/5728 6096/6851/5729 6088/6842/5721 +f 6082/6843/5722 6090/6852/5730 6089/6853/5728 6081/6844/5720 +f 6083/6845/5723 6091/6854/5731 6090/6852/5730 6082/6843/5722 +f 6084/6846/5724 6092/6855/5732 6091/6854/5731 6083/6845/5723 +f 6085/6847/5725 6093/6856/5733 6092/6855/5732 6084/6846/5724 +f 6086/6848/5726 6094/6857/5734 6093/6856/5733 6085/6847/5725 +f 6087/6849/5727 6095/6858/5735 6094/6857/5734 6086/6848/5726 +f 6088/6842/5721 6096/6851/5729 6095/6858/5735 6087/6849/5727 +f 6089/6850/5728 6097/6859/5736 6104/6860/5737 6096/6851/5729 +f 6090/6852/5730 6098/6861/5738 6097/6862/5736 6089/6853/5728 +f 6091/6854/5731 6099/6863/5739 6098/6861/5738 6090/6852/5730 +f 6092/6855/5732 6100/6864/5740 6099/6863/5739 6091/6854/5731 +f 6093/6856/5733 6101/6865/5741 6100/6864/5740 6092/6855/5732 +f 6094/6857/5734 6102/6866/5742 6101/6865/5741 6093/6856/5733 +f 6095/6858/5735 6103/6867/5743 6102/6866/5742 6094/6857/5734 +f 6096/6851/5729 6104/6860/5737 6103/6867/5743 6095/6858/5735 +f 6097/6859/5736 6105/6868/5744 6112/6869/5745 6104/6860/5737 +f 6098/6861/5738 6106/6870/5746 6105/6871/5744 6097/6862/5736 +f 6099/6863/5739 6107/6872/5747 6106/6870/5746 6098/6861/5738 +f 6100/6864/5740 6108/6873/5748 6107/6872/5747 6099/6863/5739 +f 6101/6865/5741 6109/6874/5749 6108/6873/5748 6100/6864/5740 +f 6102/6866/5742 6110/6875/5750 6109/6874/5749 6101/6865/5741 +f 6103/6867/5743 6111/6876/5751 6110/6875/5750 6102/6866/5742 +f 6104/6860/5737 6112/6869/5745 6111/6876/5751 6103/6867/5743 +f 6105/6868/5744 6113/6877/5752 6120/6878/5753 6112/6869/5745 +f 6106/6870/5746 6114/6879/5754 6113/6880/5752 6105/6871/5744 +f 6107/6872/5747 6115/6881/5755 6114/6879/5754 6106/6870/5746 +f 6108/6873/5748 6116/6882/5756 6115/6881/5755 6107/6872/5747 +f 6109/6874/5749 6117/6883/5757 6116/6882/5756 6108/6873/5748 +f 6110/6875/5750 6118/6884/5758 6117/6883/5757 6109/6874/5749 +f 6111/6876/5751 6119/6885/5759 6118/6884/5758 6110/6875/5750 +f 6112/6869/5745 6120/6878/5753 6119/6885/5759 6111/6876/5751 +f 6113/6877/5752 6121/6886/5736 6128/6887/5737 6120/6878/5753 +f 6114/6879/5754 6122/6888/5738 6121/6889/5736 6113/6880/5752 +f 6115/6881/5755 6123/6890/5739 6122/6888/5738 6114/6879/5754 +f 6116/6882/5756 6124/6891/5740 6123/6890/5739 6115/6881/5755 +f 6117/6883/5757 6125/6892/5760 6124/6891/5740 6116/6882/5756 +f 6118/6884/5758 6126/6893/5742 6125/6892/5760 6117/6883/5757 +f 6119/6885/5759 6127/6894/5743 6126/6893/5742 6118/6884/5758 +f 6120/6878/5753 6128/6887/5737 6127/6894/5743 6119/6885/5759 +f 6121/6886/5736 6129/6895/5744 6136/6896/5745 6128/6887/5737 +f 6122/6888/5738 6130/6897/5746 6129/6898/5744 6121/6889/5736 +f 6123/6890/5739 6131/6899/5761 6130/6897/5746 6122/6888/5738 +f 6124/6891/5740 6132/6900/5748 6131/6899/5761 6123/6890/5739 +f 6125/6892/5760 6133/6901/5749 6132/6900/5748 6124/6891/5740 +f 6126/6893/5742 6134/6902/5750 6133/6901/5749 6125/6892/5760 +f 6127/6894/5743 6135/6903/5751 6134/6902/5750 6126/6893/5742 +f 6128/6887/5737 6136/6896/5745 6135/6903/5751 6127/6894/5743 +f 6129/6895/5744 6137/6904/5752 6144/6905/5762 6136/6896/5745 +f 6130/6897/5746 6138/6906/5763 6137/6907/5752 6129/6898/5744 +f 6131/6899/5761 6139/6908/5755 6138/6906/5763 6130/6897/5746 +f 6132/6900/5748 6140/6909/5756 6139/6908/5755 6131/6899/5761 +f 6133/6901/5749 6141/6910/5757 6140/6909/5756 6132/6900/5748 +f 6134/6902/5750 6142/6911/5758 6141/6910/5757 6133/6901/5749 +f 6135/6903/5751 6143/6912/5759 6142/6911/5758 6134/6902/5750 +f 6136/6896/5745 6144/6905/5762 6143/6912/5759 6135/6903/5751 +f 6145/6913/5764 6153/6914/5764 6160/6915/5765 6152/6916/5765 +f 6146/6917/5766 6154/6918/5767 6153/6919/5764 6145/6920/5764 +f 6147/6921/5768 6155/6922/5768 6154/6918/5767 6146/6917/5766 +f 6148/6923/5769 6156/6924/5769 6155/6922/5768 6147/6921/5768 +f 6149/6925/5770 6157/6926/5770 6156/6924/5769 6148/6923/5769 +f 6150/6927/5771 6158/6928/5771 6157/6926/5770 6149/6925/5770 +f 6151/6929/5772 6159/6930/5772 6158/6928/5771 6150/6927/5771 +f 6152/6916/5765 6160/6915/5765 6159/6930/5772 6151/6929/5772 +f 6153/6914/5764 6161/6931/5773 6168/6932/5774 6160/6915/5765 +f 6154/6918/5767 6162/6933/5775 6161/6934/5773 6153/6919/5764 +f 6155/6922/5768 6163/6935/5776 6162/6933/5775 6154/6918/5767 +f 6156/6924/5769 6164/6936/5777 6163/6935/5776 6155/6922/5768 +f 6157/6926/5770 6165/6937/5778 6164/6936/5777 6156/6924/5769 +f 6158/6928/5771 6166/6938/5779 6165/6937/5778 6157/6926/5770 +f 6159/6930/5772 6167/6939/5780 6166/6938/5779 6158/6928/5771 +f 6160/6915/5765 6168/6932/5774 6167/6939/5780 6159/6930/5772 +f 6161/6931/5773 6169/6940/5781 6176/6941/5782 6168/6932/5774 +f 6162/6933/5775 6170/6942/5783 6169/6943/5781 6161/6934/5773 +f 6163/6935/5776 6171/6944/5784 6170/6942/5783 6162/6933/5775 +f 6164/6936/5777 6172/6945/5785 6171/6944/5784 6163/6935/5776 +f 6165/6937/5778 6173/6946/5786 6172/6945/5785 6164/6936/5777 +f 6166/6938/5779 6174/6947/5787 6173/6946/5786 6165/6937/5778 +f 6167/6939/5780 6175/6948/5788 6174/6947/5787 6166/6938/5779 +f 6168/6932/5774 6176/6941/5782 6175/6948/5788 6167/6939/5780 +f 6169/6940/5781 6177/6949/5789 6184/6950/5790 6176/6941/5782 +f 6170/6942/5783 6178/6951/5791 6177/6952/5789 6169/6943/5781 +f 6171/6944/5784 6179/6953/5792 6178/6951/5791 6170/6942/5783 +f 6172/6945/5785 6180/6954/5793 6179/6953/5792 6171/6944/5784 +f 6173/6946/5786 6181/6955/5794 6180/6954/5793 6172/6945/5785 +f 6174/6947/5787 6182/6956/5795 6181/6955/5794 6173/6946/5786 +f 6175/6948/5788 6183/6957/5796 6182/6956/5795 6174/6947/5787 +f 6176/6941/5782 6184/6950/5790 6183/6957/5796 6175/6948/5788 +f 6177/6949/5789 6185/6958/5797 6192/6959/5798 6184/6950/5790 +f 6178/6951/5791 6186/6960/5799 6185/6961/5797 6177/6952/5789 +f 6179/6953/5792 6187/6962/5800 6186/6960/5799 6178/6951/5791 +f 6180/6954/5793 6188/6963/5801 6187/6962/5800 6179/6953/5792 +f 6181/6955/5794 6189/6964/5802 6188/6963/5801 6180/6954/5793 +f 6182/6956/5795 6190/6965/5803 6189/6964/5802 6181/6955/5794 +f 6183/6957/5796 6191/6966/5804 6190/6965/5803 6182/6956/5795 +f 6184/6950/5790 6192/6959/5798 6191/6966/5804 6183/6957/5796 +f 6185/6958/5797 6193/6967/5805 6200/6968/5806 6192/6959/5798 +f 6186/6960/5799 6194/6969/5807 6193/6970/5805 6185/6961/5797 +f 6187/6962/5800 6195/6971/5808 6194/6969/5807 6186/6960/5799 +f 6188/6963/5801 6196/6972/5809 6195/6971/5808 6187/6962/5800 +f 6189/6964/5802 6197/6973/5810 6196/6972/5809 6188/6963/5801 +f 6190/6965/5803 6198/6974/5811 6197/6973/5810 6189/6964/5802 +f 6191/6966/5804 6199/6975/5812 6198/6974/5811 6190/6965/5803 +f 6192/6959/5798 6200/6968/5806 6199/6975/5812 6191/6966/5804 +f 6193/6967/5805 6201/6976/5789 6208/6977/5790 6200/6968/5806 +f 6194/6969/5807 6202/6978/5791 6201/6979/5789 6193/6970/5805 +f 6195/6971/5808 6203/6980/5792 6202/6978/5791 6194/6969/5807 +f 6196/6972/5809 6204/6981/5813 6203/6980/5792 6195/6971/5808 +f 6197/6973/5810 6205/6982/5794 6204/6981/5813 6196/6972/5809 +f 6198/6974/5811 6206/6983/5814 6205/6982/5794 6197/6973/5810 +f 6199/6975/5812 6207/6984/5796 6206/6983/5814 6198/6974/5811 +f 6200/6968/5806 6208/6977/5790 6207/6984/5796 6199/6975/5812 +f 6201/6976/5789 6209/6985/5815 6216/6986/5816 6208/6977/5790 +f 6202/6978/5791 6210/6987/5817 6209/6988/5815 6201/6979/5789 +f 6203/6980/5792 6211/6989/5800 6210/6987/5817 6202/6978/5791 +f 6204/6981/5813 6212/6990/5801 6211/6989/5800 6203/6980/5792 +f 6205/6982/5794 6213/6991/5818 6212/6990/5801 6204/6981/5813 +f 6206/6983/5814 6214/6992/5819 6213/6991/5818 6205/6982/5794 +f 6207/6984/5796 6215/6993/5804 6214/6992/5819 6206/6983/5814 +f 6208/6977/5790 6216/6986/5816 6215/6993/5804 6207/6984/5796 +f 6209/6985/5815 6217/6994/5820 6224/6995/5821 6216/6986/5816 +f 6210/6987/5817 6218/6996/5822 6217/6997/5820 6209/6988/5815 +f 6211/6989/5800 6219/6998/5823 6218/6996/5822 6210/6987/5817 +f 6212/6990/5801 6220/6999/5809 6219/6998/5823 6211/6989/5800 +f 6213/6991/5818 6221/7000/5824 6220/6999/5809 6212/6990/5801 +f 6214/6992/5819 6222/7001/5825 6221/7000/5824 6213/6991/5818 +f 6215/6993/5804 6223/7002/5826 6222/7001/5825 6214/6992/5819 +f 6216/6986/5816 6224/6995/5821 6223/7002/5826 6215/6993/5804 +f 6225/7003/5827 6233/7004/5827 6240/7005/5828 6232/7006/5828 +f 6226/7007/5829 6234/7008/5829 6233/7009/5827 6225/7010/5827 +f 6227/7011/5830 6235/7012/5830 6234/7008/5829 6226/7007/5829 +f 6228/7013/5831 6236/7014/5831 6235/7012/5830 6227/7011/5830 +f 6229/7015/5832 6237/7016/5832 6236/7014/5831 6228/7013/5831 +f 6230/7017/5833 6238/7018/5833 6237/7016/5832 6229/7015/5832 +f 6231/7019/5834 6239/7020/5834 6238/7018/5833 6230/7017/5833 +f 6232/7006/5828 6240/7005/5828 6239/7020/5834 6231/7019/5834 +f 6233/7004/5827 6241/7021/5835 6248/7022/5836 6240/7005/5828 +f 6234/7008/5829 6242/7023/5837 6241/7024/5835 6233/7009/5827 +f 6235/7012/5830 6243/7025/5838 6242/7023/5837 6234/7008/5829 +f 6236/7014/5831 6244/7026/5839 6243/7025/5838 6235/7012/5830 +f 6237/7016/5832 6245/7027/5840 6244/7026/5839 6236/7014/5831 +f 6238/7018/5833 6246/7028/5841 6245/7027/5840 6237/7016/5832 +f 6239/7020/5834 6247/7029/5842 6246/7028/5841 6238/7018/5833 +f 6240/7005/5828 6248/7022/5836 6247/7029/5842 6239/7020/5834 +f 6241/7021/5835 6249/7030/5843 6256/7031/5844 6248/7022/5836 +f 6242/7023/5837 6250/7032/5845 6249/7033/5843 6241/7024/5835 +f 6243/7025/5838 6251/7034/5846 6250/7032/5845 6242/7023/5837 +f 6244/7026/5839 6252/7035/5847 6251/7034/5846 6243/7025/5838 +f 6245/7027/5840 6253/7036/5848 6252/7035/5847 6244/7026/5839 +f 6246/7028/5841 6254/7037/5849 6253/7036/5848 6245/7027/5840 +f 6247/7029/5842 6255/7038/5850 6254/7037/5849 6246/7028/5841 +f 6248/7022/5836 6256/7031/5844 6255/7038/5850 6247/7029/5842 +f 6249/7030/5843 6257/7039/5851 6264/7040/5852 6256/7031/5844 +f 6250/7032/5845 6258/7041/5853 6257/7042/5851 6249/7033/5843 +f 6251/7034/5846 6259/7043/5854 6258/7041/5853 6250/7032/5845 +f 6252/7035/5847 6260/7044/5855 6259/7043/5854 6251/7034/5846 +f 6253/7036/5848 6261/7045/5856 6260/7044/5855 6252/7035/5847 +f 6254/7037/5849 6262/7046/5857 6261/7045/5856 6253/7036/5848 +f 6255/7038/5850 6263/7047/5858 6262/7046/5857 6254/7037/5849 +f 6256/7031/5844 6264/7040/5852 6263/7047/5858 6255/7038/5850 +f 6257/7039/5851 6265/7048/5859 6272/7049/5860 6264/7040/5852 +f 6258/7041/5853 6266/7050/5861 6265/7051/5859 6257/7042/5851 +f 6259/7043/5854 6267/7052/5862 6266/7050/5861 6258/7041/5853 +f 6260/7044/5855 6268/7053/5863 6267/7052/5862 6259/7043/5854 +f 6261/7045/5856 6269/7054/5864 6268/7053/5863 6260/7044/5855 +f 6262/7046/5857 6270/7055/5865 6269/7054/5864 6261/7045/5856 +f 6263/7047/5858 6271/7056/5866 6270/7055/5865 6262/7046/5857 +f 6264/7040/5852 6272/7049/5860 6271/7056/5866 6263/7047/5858 +f 6265/7048/5859 6273/7057/5867 6280/7058/5868 6272/7049/5860 +f 6266/7050/5861 6274/7059/5869 6273/7060/5867 6265/7051/5859 +f 6267/7052/5862 6275/7061/5870 6274/7059/5869 6266/7050/5861 +f 6268/7053/5863 6276/7062/5871 6275/7061/5870 6267/7052/5862 +f 6269/7054/5864 6277/7063/5872 6276/7062/5871 6268/7053/5863 +f 6270/7055/5865 6278/7064/5873 6277/7063/5872 6269/7054/5864 +f 6271/7056/5866 6279/7065/5874 6278/7064/5873 6270/7055/5865 +f 6272/7049/5860 6280/7058/5868 6279/7065/5874 6271/7056/5866 +f 6273/7057/5867 6281/7066/5875 6288/7067/5852 6280/7058/5868 +f 6274/7059/5869 6282/7068/5876 6281/7069/5875 6273/7060/5867 +f 6275/7061/5870 6283/7070/5877 6282/7068/5876 6274/7059/5869 +f 6276/7062/5871 6284/7071/5855 6283/7070/5877 6275/7061/5870 +f 6277/7063/5872 6285/7072/5856 6284/7071/5855 6276/7062/5871 +f 6278/7064/5873 6286/7073/5857 6285/7072/5856 6277/7063/5872 +f 6279/7065/5874 6287/7074/5858 6286/7073/5857 6278/7064/5873 +f 6280/7058/5868 6288/7067/5852 6287/7074/5858 6279/7065/5874 +f 6281/7066/5875 6289/7075/5859 6296/7076/5878 6288/7067/5852 +f 6282/7068/5876 6290/7077/5861 6289/7078/5859 6281/7069/5875 +f 6283/7070/5877 6291/7079/5879 6290/7077/5861 6282/7068/5876 +f 6284/7071/5855 6292/7080/5863 6291/7079/5879 6283/7070/5877 +f 6285/7072/5856 6293/7081/5864 6292/7080/5863 6284/7071/5855 +f 6286/7073/5857 6294/7082/5865 6293/7081/5864 6285/7072/5856 +f 6287/7074/5858 6295/7083/5880 6294/7082/5865 6286/7073/5857 +f 6288/7067/5852 6296/7076/5878 6295/7083/5880 6287/7074/5858 +f 6289/7075/5859 6297/7084/5867 6304/7085/5881 6296/7076/5878 +f 6290/7077/5861 6298/7086/5882 6297/7087/5867 6289/7078/5859 +f 6291/7079/5879 6299/7088/5883 6298/7086/5882 6290/7077/5861 +f 6292/7080/5863 6300/7089/5884 6299/7088/5883 6291/7079/5879 +f 6293/7081/5864 6301/7090/5885 6300/7089/5884 6292/7080/5863 +f 6294/7082/5865 6302/7091/5886 6301/7090/5885 6293/7081/5864 +f 6295/7083/5880 6303/7092/5887 6302/7091/5886 6294/7082/5865 +f 6296/7076/5878 6304/7085/5881 6303/7092/5887 6295/7083/5880 +f 6305/7093/5888 6313/7094/5888 6320/7095/5889 6312/7096/5889 +f 6306/7097/5890 6314/7098/5890 6313/7099/5888 6305/7100/5888 +f 6307/7101/5891 6315/7102/5891 6314/7098/5890 6306/7097/5890 +f 6308/7103/5892 6316/7104/5892 6315/7102/5891 6307/7101/5891 +f 6309/7105/5893 6317/7106/5893 6316/7104/5892 6308/7103/5892 +f 6310/7107/5894 6318/7108/5894 6317/7106/5893 6309/7105/5893 +f 6311/7109/5895 6319/7110/5895 6318/7108/5894 6310/7107/5894 +f 6312/7096/5889 6320/7095/5889 6319/7110/5895 6311/7109/5895 +f 6313/7094/5888 6321/7111/5896 6328/7112/5897 6320/7095/5889 +f 6314/7098/5890 6322/7113/5898 6321/7114/5896 6313/7099/5888 +f 6315/7102/5891 6323/7115/5899 6322/7113/5898 6314/7098/5890 +f 6316/7104/5892 6324/7116/5900 6323/7115/5899 6315/7102/5891 +f 6317/7106/5893 6325/7117/5901 6324/7116/5900 6316/7104/5892 +f 6318/7108/5894 6326/7118/5902 6325/7117/5901 6317/7106/5893 +f 6319/7110/5895 6327/7119/5903 6326/7118/5902 6318/7108/5894 +f 6320/7095/5889 6328/7112/5897 6327/7119/5903 6319/7110/5895 +f 6321/7111/5896 6329/7120/5904 6336/7121/5905 6328/7112/5897 +f 6322/7113/5898 6330/7122/5906 6329/7123/5904 6321/7114/5896 +f 6323/7115/5899 6331/7124/5907 6330/7122/5906 6322/7113/5898 +f 6324/7116/5900 6332/7125/5908 6331/7124/5907 6323/7115/5899 +f 6325/7117/5901 6333/7126/5909 6332/7125/5908 6324/7116/5900 +f 6326/7118/5902 6334/7127/5910 6333/7126/5909 6325/7117/5901 +f 6327/7119/5903 6335/7128/5911 6334/7127/5910 6326/7118/5902 +f 6328/7112/5897 6336/7121/5905 6335/7128/5911 6327/7119/5903 +f 6329/7120/5904 6337/7129/5912 6344/7130/5913 6336/7121/5905 +f 6330/7122/5906 6338/7131/5914 6337/7132/5912 6329/7123/5904 +f 6331/7124/5907 6339/7133/5915 6338/7131/5914 6330/7122/5906 +f 6332/7125/5908 6340/7134/5916 6339/7133/5915 6331/7124/5907 +f 6333/7126/5909 6341/7135/5917 6340/7134/5916 6332/7125/5908 +f 6334/7127/5910 6342/7136/5918 6341/7135/5917 6333/7126/5909 +f 6335/7128/5911 6343/7137/5919 6342/7136/5918 6334/7127/5910 +f 6336/7121/5905 6344/7130/5913 6343/7137/5919 6335/7128/5911 +f 6337/7129/5912 6345/7138/5920 6352/7139/5921 6344/7130/5913 +f 6338/7131/5914 6346/7140/5922 6345/7141/5920 6337/7132/5912 +f 6339/7133/5915 6347/7142/5923 6346/7140/5922 6338/7131/5914 +f 6340/7134/5916 6348/7143/5924 6347/7142/5923 6339/7133/5915 +f 6341/7135/5917 6349/7144/5925 6348/7143/5924 6340/7134/5916 +f 6342/7136/5918 6350/7145/5926 6349/7144/5925 6341/7135/5917 +f 6343/7137/5919 6351/7146/5927 6350/7145/5926 6342/7136/5918 +f 6344/7130/5913 6352/7139/5921 6351/7146/5927 6343/7137/5919 +f 6345/7138/5920 6353/7147/5928 6360/7148/5929 6352/7139/5921 +f 6346/7140/5922 6354/7149/5930 6353/7150/5928 6345/7141/5920 +f 6347/7142/5923 6355/7151/5931 6354/7149/5930 6346/7140/5922 +f 6348/7143/5924 6356/7152/5932 6355/7151/5931 6347/7142/5923 +f 6349/7144/5925 6357/7153/5933 6356/7152/5932 6348/7143/5924 +f 6350/7145/5926 6358/7154/5934 6357/7153/5933 6349/7144/5925 +f 6351/7146/5927 6359/7155/5935 6358/7154/5934 6350/7145/5926 +f 6352/7139/5921 6360/7148/5929 6359/7155/5935 6351/7146/5927 +f 6353/7147/5928 6361/7156/5912 6368/7157/5936 6360/7148/5929 +f 6354/7149/5930 6362/7158/5914 6361/7159/5912 6353/7150/5928 +f 6355/7151/5931 6363/7160/5915 6362/7158/5914 6354/7149/5930 +f 6356/7152/5932 6364/7161/5916 6363/7160/5915 6355/7151/5931 +f 6357/7153/5933 6365/7162/5937 6364/7161/5916 6356/7152/5932 +f 6358/7154/5934 6366/7163/5918 6365/7162/5937 6357/7153/5933 +f 6359/7155/5935 6367/7164/5919 6366/7163/5918 6358/7154/5934 +f 6360/7148/5929 6368/7157/5936 6367/7164/5919 6359/7155/5935 +f 6361/7156/5912 6369/7165/5920 6376/7166/5921 6368/7157/5936 +f 6362/7158/5914 6370/7167/5938 6369/7168/5920 6361/7159/5912 +f 6363/7160/5915 6371/7169/5923 6370/7167/5938 6362/7158/5914 +f 6364/7161/5916 6372/7170/5939 6371/7169/5923 6363/7160/5915 +f 6365/7162/5937 6373/7171/5940 6372/7170/5939 6364/7161/5916 +f 6366/7163/5918 6374/7172/5941 6373/7171/5940 6365/7162/5937 +f 6367/7164/5919 6375/7173/5927 6374/7172/5941 6366/7163/5918 +f 6368/7157/5936 6376/7166/5921 6375/7173/5927 6367/7164/5919 +f 6369/7165/5920 6377/7174/5928 6384/7175/5929 6376/7166/5921 +f 6370/7167/5938 6378/7176/5930 6377/7177/5928 6369/7168/5920 +f 6371/7169/5923 6379/7178/5931 6378/7176/5930 6370/7167/5938 +f 6372/7170/5939 6380/7179/5942 6379/7178/5931 6371/7169/5923 +f 6373/7171/5940 6381/7180/5943 6380/7179/5942 6372/7170/5939 +f 6374/7172/5941 6382/7181/5934 6381/7180/5943 6373/7171/5940 +f 6375/7173/5927 6383/7182/5944 6382/7181/5934 6374/7172/5941 +f 6376/7166/5921 6384/7175/5929 6383/7182/5944 6375/7173/5927 +f 6385/7183/5945 6393/7184/5946 6400/7185/5947 6392/7186/5948 +f 6386/7187/5949 6394/7188/5950 6393/7189/5946 6385/7190/5945 +f 6387/7191/5951 6395/7192/5952 6394/7188/5950 6386/7187/5949 +f 6388/7193/5953 6396/7194/5953 6395/7192/5952 6387/7191/5951 +f 6389/7195/5954 6397/7196/5954 6396/7194/5953 6388/7193/5953 +f 6390/7197/5955 6398/7198/5956 6397/7196/5954 6389/7195/5954 +f 6391/7199/5957 6399/7200/5958 6398/7198/5956 6390/7197/5955 +f 6392/7186/5948 6400/7185/5947 6399/7200/5958 6391/7199/5957 +f 6393/7184/5946 6401/7201/5959 6408/7202/5960 6400/7185/5947 +f 6394/7188/5950 6402/7203/5961 6401/7204/5959 6393/7189/5946 +f 6395/7192/5952 6403/7205/5962 6402/7203/5961 6394/7188/5950 +f 6396/7194/5953 6404/7206/5963 6403/7205/5962 6395/7192/5952 +f 6397/7196/5954 6405/7207/5964 6404/7206/5963 6396/7194/5953 +f 6398/7198/5956 6406/7208/5965 6405/7207/5964 6397/7196/5954 +f 6399/7200/5958 6407/7209/5966 6406/7208/5965 6398/7198/5956 +f 6400/7185/5947 6408/7202/5960 6407/7209/5966 6399/7200/5958 +f 6401/7201/5959 6409/7210/5967 6416/7211/5968 6408/7202/5960 +f 6402/7203/5961 6410/7212/5969 6409/7213/5967 6401/7204/5959 +f 6403/7205/5962 6411/7214/5970 6410/7212/5969 6402/7203/5961 +f 6404/7206/5963 6412/7215/5971 6411/7214/5970 6403/7205/5962 +f 6405/7207/5964 6413/7216/5972 6412/7215/5971 6404/7206/5963 +f 6406/7208/5965 6414/7217/5973 6413/7216/5972 6405/7207/5964 +f 6407/7209/5966 6415/7218/5974 6414/7217/5973 6406/7208/5965 +f 6408/7202/5960 6416/7211/5968 6415/7218/5974 6407/7209/5966 +f 6409/7210/5967 6417/7219/5975 6424/7220/5976 6416/7211/5968 +f 6410/7212/5969 6418/7221/5977 6417/7222/5975 6409/7213/5967 +f 6411/7214/5970 6419/7223/5978 6418/7221/5977 6410/7212/5969 +f 6412/7215/5971 6420/7224/5979 6419/7223/5978 6411/7214/5970 +f 6413/7216/5972 6421/7225/5980 6420/7224/5979 6412/7215/5971 +f 6414/7217/5973 6422/7226/5981 6421/7225/5980 6413/7216/5972 +f 6415/7218/5974 6423/7227/5982 6422/7226/5981 6414/7217/5973 +f 6416/7211/5968 6424/7220/5976 6423/7227/5982 6415/7218/5974 +f 6417/7219/5975 6425/7228/5975 6432/7229/5983 6424/7220/5976 +f 6418/7221/5977 6426/7230/5977 6425/7231/5975 6417/7222/5975 +f 6419/7223/5978 6427/7232/5984 6426/7230/5977 6418/7221/5977 +f 6420/7224/5979 6428/7233/5985 6427/7232/5984 6419/7223/5978 +f 6421/7225/5980 6429/7234/5986 6428/7233/5985 6420/7224/5979 +f 6422/7226/5981 6430/7235/5981 6429/7234/5986 6421/7225/5980 +f 6423/7227/5982 6431/7236/5987 6430/7235/5981 6422/7226/5981 +f 6424/7220/5976 6432/7229/5983 6431/7236/5987 6423/7227/5982 +f 6425/7228/5975 6433/7237/5988 6440/7238/5989 6432/7229/5983 +f 6426/7230/5977 6434/7239/5990 6433/7240/5988 6425/7231/5975 +f 6427/7232/5984 6435/7241/5991 6434/7239/5990 6426/7230/5977 +f 6428/7233/5985 6436/7242/5992 6435/7241/5991 6427/7232/5984 +f 6429/7234/5986 6437/7243/5993 6436/7242/5992 6428/7233/5985 +f 6430/7235/5981 6438/7244/5994 6437/7243/5993 6429/7234/5986 +f 6431/7236/5987 6439/7245/5995 6438/7244/5994 6430/7235/5981 +f 6432/7229/5983 6440/7238/5989 6439/7245/5995 6431/7236/5987 +f 6433/7237/5988 6441/7246/5996 6448/7247/5948 6440/7238/5989 +f 6434/7239/5990 6442/7248/5977 6441/7249/5996 6433/7240/5988 +f 6435/7241/5991 6443/7250/5997 6442/7248/5977 6434/7239/5990 +f 6436/7242/5992 6444/7251/5998 6443/7250/5997 6435/7241/5991 +f 6437/7243/5993 6445/7252/5999 6444/7251/5998 6436/7242/5992 +f 6438/7244/5994 6446/7253/6000 6445/7252/5999 6437/7243/5993 +f 6439/7245/5995 6447/7254/6001 6446/7253/6000 6438/7244/5994 +f 6440/7238/5989 6448/7247/5948 6447/7254/6001 6439/7245/5995 +f 6441/7246/5996 6449/7255/5996 6456/7256/5948 6448/7247/5948 +f 6442/7248/5977 6450/7257/6002 6449/7258/5996 6441/7249/5996 +f 6443/7250/5997 6451/7259/6003 6450/7257/6002 6442/7248/5977 +f 6444/7251/5998 6452/7260/6004 6451/7259/6003 6443/7250/5997 +f 6445/7252/5999 6453/7261/6005 6452/7260/6004 6444/7251/5998 +f 6446/7253/6000 6454/7262/6006 6453/7261/6005 6445/7252/5999 +f 6447/7254/6001 6455/7263/6007 6454/7262/6006 6446/7253/6000 +f 6448/7247/5948 6456/7256/5948 6455/7263/6007 6447/7254/6001 +f 6449/7255/5996 6457/7264/6008 6464/7265/6009 6456/7256/5948 +f 6450/7257/6002 6458/7266/6010 6457/7267/6008 6449/7258/5996 +f 6451/7259/6003 6459/7268/6011 6458/7266/6010 6450/7257/6002 +f 6452/7260/6004 6460/7269/6012 6459/7268/6011 6451/7259/6003 +f 6453/7261/6005 6461/7270/6013 6460/7269/6012 6452/7260/6004 +f 6454/7262/6006 6462/7271/6014 6461/7270/6013 6453/7261/6005 +f 6455/7263/6007 6463/7272/6015 6462/7271/6014 6454/7262/6006 +f 6456/7256/5948 6464/7265/6009 6463/7272/6015 6455/7263/6007 +f 6465/7273/6016 6473/7274/6017 6480/7275/6018 6472/7276/6018 +f 6466/7277/6019 6474/7278/6019 6473/7279/6017 6465/7280/6016 +f 6467/7281/6020 6475/7282/6020 6474/7278/6019 6466/7277/6019 +f 6468/7283/6021 6476/7284/6022 6475/7282/6020 6467/7281/6020 +f 6469/7285/6023 6477/7286/6024 6476/7284/6022 6468/7283/6021 +f 6470/7287/6025 6478/7288/6025 6477/7286/6024 6469/7285/6023 +f 6471/7289/6026 6479/7290/6026 6478/7288/6025 6470/7287/6025 +f 6472/7276/6018 6480/7275/6018 6479/7290/6026 6471/7289/6026 +f 6473/7274/6017 6481/7291/6027 6488/7292/6028 6480/7275/6018 +f 6474/7278/6019 6482/7293/6029 6481/7294/6027 6473/7279/6017 +f 6475/7282/6020 6483/7295/6030 6482/7293/6029 6474/7278/6019 +f 6476/7284/6022 6484/7296/6031 6483/7295/6030 6475/7282/6020 +f 6477/7286/6024 6485/7297/6032 6484/7296/6031 6476/7284/6022 +f 6478/7288/6025 6486/7298/6033 6485/7297/6032 6477/7286/6024 +f 6479/7290/6026 6487/7299/6034 6486/7298/6033 6478/7288/6025 +f 6480/7275/6018 6488/7292/6028 6487/7299/6034 6479/7290/6026 +f 6481/7291/6027 6489/7300/6035 6496/7301/6036 6488/7292/6028 +f 6482/7293/6029 6490/7302/6037 6489/7303/6035 6481/7294/6027 +f 6483/7295/6030 6491/7304/6038 6490/7302/6037 6482/7293/6029 +f 6484/7296/6031 6492/7305/6039 6491/7304/6038 6483/7295/6030 +f 6485/7297/6032 6493/7306/6040 6492/7305/6039 6484/7296/6031 +f 6486/7298/6033 6494/7307/6041 6493/7306/6040 6485/7297/6032 +f 6487/7299/6034 6495/7308/6042 6494/7307/6041 6486/7298/6033 +f 6488/7292/6028 6496/7301/6036 6495/7308/6042 6487/7299/6034 +f 6489/7300/6035 6497/7309/6043 6504/7310/6044 6496/7301/6036 +f 6490/7302/6037 6498/7311/6045 6497/7312/6043 6489/7303/6035 +f 6491/7304/6038 6499/7313/6046 6498/7311/6045 6490/7302/6037 +f 6492/7305/6039 6500/7314/6047 6499/7313/6046 6491/7304/6038 +f 6493/7306/6040 6501/7315/6048 6500/7314/6047 6492/7305/6039 +f 6494/7307/6041 6502/7316/6049 6501/7315/6048 6493/7306/6040 +f 6495/7308/6042 6503/7317/6050 6502/7316/6049 6494/7307/6041 +f 6496/7301/6036 6504/7310/6044 6503/7317/6050 6495/7308/6042 +f 6497/7309/6043 6505/7318/6051 6512/7319/6052 6504/7310/6044 +f 6498/7311/6045 6506/7320/6053 6505/7321/6051 6497/7312/6043 +f 6499/7313/6046 6507/7322/6054 6506/7320/6053 6498/7311/6045 +f 6500/7314/6047 6508/7323/6055 6507/7322/6054 6499/7313/6046 +f 6501/7315/6048 6509/7324/6056 6508/7323/6055 6500/7314/6047 +f 6502/7316/6049 6510/7325/6057 6509/7324/6056 6501/7315/6048 +f 6503/7317/6050 6511/7326/6058 6510/7325/6057 6502/7316/6049 +f 6504/7310/6044 6512/7319/6052 6511/7326/6058 6503/7317/6050 +f 6505/7318/6051 6513/7327/6059 6520/7328/6060 6512/7319/6052 +f 6506/7320/6053 6514/7329/6061 6513/7330/6059 6505/7321/6051 +f 6507/7322/6054 6515/7331/6062 6514/7329/6061 6506/7320/6053 +f 6508/7323/6055 6516/7332/6063 6515/7331/6062 6507/7322/6054 +f 6509/7324/6056 6517/7333/6064 6516/7332/6063 6508/7323/6055 +f 6510/7325/6057 6518/7334/6065 6517/7333/6064 6509/7324/6056 +f 6511/7326/6058 6519/7335/6066 6518/7334/6065 6510/7325/6057 +f 6512/7319/6052 6520/7328/6060 6519/7335/6066 6511/7326/6058 +f 6513/7327/6059 6521/7336/6043 6528/7337/6044 6520/7328/6060 +f 6514/7329/6061 6522/7338/6067 6521/7339/6043 6513/7330/6059 +f 6515/7331/6062 6523/7340/6046 6522/7338/6067 6514/7329/6061 +f 6516/7332/6063 6524/7341/6047 6523/7340/6046 6515/7331/6062 +f 6517/7333/6064 6525/7342/6068 6524/7341/6047 6516/7332/6063 +f 6518/7334/6065 6526/7343/6049 6525/7342/6068 6517/7333/6064 +f 6519/7335/6066 6527/7344/6050 6526/7343/6049 6518/7334/6065 +f 6520/7328/6060 6528/7337/6044 6527/7344/6050 6519/7335/6066 +f 6521/7336/6043 6529/7345/6051 6536/7346/6052 6528/7337/6044 +f 6522/7338/6067 6530/7347/6069 6529/7348/6051 6521/7339/6043 +f 6523/7340/6046 6531/7349/6070 6530/7347/6069 6522/7338/6067 +f 6524/7341/6047 6532/7350/6055 6531/7349/6070 6523/7340/6046 +f 6525/7342/6068 6533/7351/6071 6532/7350/6055 6524/7341/6047 +f 6526/7343/6049 6534/7352/6072 6533/7351/6071 6525/7342/6068 +f 6527/7344/6050 6535/7353/6073 6534/7352/6072 6526/7343/6049 +f 6528/7337/6044 6536/7346/6052 6535/7353/6073 6527/7344/6050 +f 6529/7345/6051 6537/7354/6074 6544/7355/6060 6536/7346/6052 +f 6530/7347/6069 6538/7356/6075 6537/7357/6074 6529/7348/6051 +f 6531/7349/6070 6539/7358/6076 6538/7356/6075 6530/7347/6069 +f 6532/7350/6055 6540/7359/6077 6539/7358/6076 6531/7349/6070 +f 6533/7351/6071 6541/7360/6078 6540/7359/6077 6532/7350/6055 +f 6534/7352/6072 6542/7361/6065 6541/7360/6078 6533/7351/6071 +f 6535/7353/6073 6543/7362/6079 6542/7361/6065 6534/7352/6072 +f 6536/7346/6052 6544/7355/6060 6543/7362/6079 6535/7353/6073 +f 6545/7363/6080 6553/7364/6080 6560/7365/6081 6552/7366/6081 +f 6546/7367/6082 6554/7368/6082 6553/7369/6080 6545/7370/6080 +f 6547/7371/6083 6555/7372/6083 6554/7368/6082 6546/7367/6082 +f 6548/7373/6084 6556/7374/6084 6555/7372/6083 6547/7371/6083 +f 6549/7375/6085 6557/7376/6085 6556/7374/6084 6548/7373/6084 +f 6550/7377/6086 6558/7378/6086 6557/7376/6085 6549/7375/6085 +f 6551/7379/6087 6559/7380/6087 6558/7378/6086 6550/7377/6086 +f 6552/7366/6081 6560/7365/6081 6559/7380/6087 6551/7379/6087 +f 6553/7364/6080 6561/7381/6088 6568/7382/6089 6560/7365/6081 +f 6554/7368/6082 6562/7383/6090 6561/7384/6088 6553/7369/6080 +f 6555/7372/6083 6563/7385/6091 6562/7383/6090 6554/7368/6082 +f 6556/7374/6084 6564/7386/6092 6563/7385/6091 6555/7372/6083 +f 6557/7376/6085 6565/7387/6093 6564/7386/6092 6556/7374/6084 +f 6558/7378/6086 6566/7388/6094 6565/7387/6093 6557/7376/6085 +f 6559/7380/6087 6567/7389/6095 6566/7388/6094 6558/7378/6086 +f 6560/7365/6081 6568/7382/6089 6567/7389/6095 6559/7380/6087 +f 6561/7381/6088 6569/7390/6096 6576/7391/6097 6568/7382/6089 +f 6562/7383/6090 6570/7392/6098 6569/7393/6096 6561/7384/6088 +f 6563/7385/6091 6571/7394/6099 6570/7392/6098 6562/7383/6090 +f 6564/7386/6092 6572/7395/6100 6571/7394/6099 6563/7385/6091 +f 6565/7387/6093 6573/7396/6101 6572/7395/6100 6564/7386/6092 +f 6566/7388/6094 6574/7397/6102 6573/7396/6101 6565/7387/6093 +f 6567/7389/6095 6575/7398/6103 6574/7397/6102 6566/7388/6094 +f 6568/7382/6089 6576/7391/6097 6575/7398/6103 6567/7389/6095 +f 6569/7390/6096 6577/7399/6104 6584/7400/6105 6576/7391/6097 +f 6570/7392/6098 6578/7401/6106 6577/7402/6104 6569/7393/6096 +f 6571/7394/6099 6579/7403/6107 6578/7401/6106 6570/7392/6098 +f 6572/7395/6100 6580/7404/6108 6579/7403/6107 6571/7394/6099 +f 6573/7396/6101 6581/7405/6109 6580/7404/6108 6572/7395/6100 +f 6574/7397/6102 6582/7406/6110 6581/7405/6109 6573/7396/6101 +f 6575/7398/6103 6583/7407/6111 6582/7406/6110 6574/7397/6102 +f 6576/7391/6097 6584/7400/6105 6583/7407/6111 6575/7398/6103 +f 6577/7399/6104 6585/7408/6112 6592/7409/6113 6584/7400/6105 +f 6578/7401/6106 6586/7410/6114 6585/7411/6112 6577/7402/6104 +f 6579/7403/6107 6587/7412/6115 6586/7410/6114 6578/7401/6106 +f 6580/7404/6108 6588/7413/6116 6587/7412/6115 6579/7403/6107 +f 6581/7405/6109 6589/7414/6117 6588/7413/6116 6580/7404/6108 +f 6582/7406/6110 6590/7415/6118 6589/7414/6117 6581/7405/6109 +f 6583/7407/6111 6591/7416/6119 6590/7415/6118 6582/7406/6110 +f 6584/7400/6105 6592/7409/6113 6591/7416/6119 6583/7407/6111 +f 6585/7408/6112 6593/7417/6120 6600/7418/6121 6592/7409/6113 +f 6586/7410/6114 6594/7419/6122 6593/7420/6120 6585/7411/6112 +f 6587/7412/6115 6595/7421/6123 6594/7419/6122 6586/7410/6114 +f 6588/7413/6116 6596/7422/6124 6595/7421/6123 6587/7412/6115 +f 6589/7414/6117 6597/7423/6125 6596/7422/6124 6588/7413/6116 +f 6590/7415/6118 6598/7424/6126 6597/7423/6125 6589/7414/6117 +f 6591/7416/6119 6599/7425/6127 6598/7424/6126 6590/7415/6118 +f 6592/7409/6113 6600/7418/6121 6599/7425/6127 6591/7416/6119 +f 6593/7417/6120 6601/7426/6104 6608/7427/6105 6600/7418/6121 +f 6594/7419/6122 6602/7428/6106 6601/7429/6104 6593/7420/6120 +f 6595/7421/6123 6603/7430/6107 6602/7428/6106 6594/7419/6122 +f 6596/7422/6124 6604/7431/6108 6603/7430/6107 6595/7421/6123 +f 6597/7423/6125 6605/7432/6109 6604/7431/6108 6596/7422/6124 +f 6598/7424/6126 6606/7433/6128 6605/7432/6109 6597/7423/6125 +f 6599/7425/6127 6607/7434/6111 6606/7433/6128 6598/7424/6126 +f 6600/7418/6121 6608/7427/6105 6607/7434/6111 6599/7425/6127 +f 6601/7426/6104 6609/7435/6112 6616/7436/6129 6608/7427/6105 +f 6602/7428/6106 6610/7437/6114 6609/7438/6112 6601/7429/6104 +f 6603/7430/6107 6611/7439/6130 6610/7437/6114 6602/7428/6106 +f 6604/7431/6108 6612/7440/6131 6611/7439/6130 6603/7430/6107 +f 6605/7432/6109 6613/7441/6132 6612/7440/6131 6604/7431/6108 +f 6606/7433/6128 6614/7442/6133 6613/7441/6132 6605/7432/6109 +f 6607/7434/6111 6615/7443/6134 6614/7442/6133 6606/7433/6128 +f 6608/7427/6105 6616/7436/6129 6615/7443/6134 6607/7434/6111 +f 6609/7435/6112 6617/7444/6135 6624/7445/6136 6616/7436/6129 +f 6610/7437/6114 6618/7446/6137 6617/7447/6135 6609/7438/6112 +f 6611/7439/6130 6619/7448/6123 6618/7446/6137 6610/7437/6114 +f 6612/7440/6131 6620/7449/6124 6619/7448/6123 6611/7439/6130 +f 6613/7441/6132 6621/7450/6138 6620/7449/6124 6612/7440/6131 +f 6614/7442/6133 6622/7451/6126 6621/7450/6138 6613/7441/6132 +f 6615/7443/6134 6623/7452/6139 6622/7451/6126 6614/7442/6133 +f 6616/7436/6129 6624/7445/6136 6623/7452/6139 6615/7443/6134 +f 6625/7453/6140 6633/7454/6140 6640/7455/6141 6632/7456/6142 +f 6626/7457/6143 6634/7458/6143 6633/7459/6140 6625/7460/6140 +f 6627/7461/6144 6635/7462/6144 6634/7458/6143 6626/7457/6143 +f 6628/7463/6145 6636/7464/6146 6635/7462/6144 6627/7461/6144 +f 6629/7465/6147 6637/7466/6147 6636/7464/6146 6628/7463/6145 +f 6630/7467/6148 6638/7468/6148 6637/7466/6147 6629/7465/6147 +f 6631/7469/6149 6639/7470/6149 6638/7468/6148 6630/7467/6148 +f 6632/7456/6142 6640/7455/6141 6639/7470/6149 6631/7469/6149 +f 6633/7454/6140 6641/7471/6150 6648/7472/6151 6640/7455/6141 +f 6634/7458/6143 6642/7473/6152 6641/7474/6150 6633/7459/6140 +f 6635/7462/6144 6643/7475/6153 6642/7473/6152 6634/7458/6143 +f 6636/7464/6146 6644/7476/6154 6643/7475/6153 6635/7462/6144 +f 6637/7466/6147 6645/7477/6155 6644/7476/6154 6636/7464/6146 +f 6638/7468/6148 6646/7478/6156 6645/7477/6155 6637/7466/6147 +f 6639/7470/6149 6647/7479/6157 6646/7478/6156 6638/7468/6148 +f 6640/7455/6141 6648/7472/6151 6647/7479/6157 6639/7470/6149 +f 6641/7471/6150 6649/7480/6158 6656/7481/6159 6648/7472/6151 +f 6642/7473/6152 6650/7482/6160 6649/7483/6158 6641/7474/6150 +f 6643/7475/6153 6651/7484/6161 6650/7482/6160 6642/7473/6152 +f 6644/7476/6154 6652/7485/6162 6651/7484/6161 6643/7475/6153 +f 6645/7477/6155 6653/7486/6163 6652/7485/6162 6644/7476/6154 +f 6646/7478/6156 6654/7487/6164 6653/7486/6163 6645/7477/6155 +f 6647/7479/6157 6655/7488/6165 6654/7487/6164 6646/7478/6156 +f 6648/7472/6151 6656/7481/6159 6655/7488/6165 6647/7479/6157 +f 6649/7480/6158 6657/7489/6166 6664/7490/6167 6656/7481/6159 +f 6650/7482/6160 6658/7491/6168 6657/7492/6166 6649/7483/6158 +f 6651/7484/6161 6659/7493/6169 6658/7491/6168 6650/7482/6160 +f 6652/7485/6162 6660/7494/6170 6659/7493/6169 6651/7484/6161 +f 6653/7486/6163 6661/7495/6171 6660/7494/6170 6652/7485/6162 +f 6654/7487/6164 6662/7496/6172 6661/7495/6171 6653/7486/6163 +f 6655/7488/6165 6663/7497/6173 6662/7496/6172 6654/7487/6164 +f 6656/7481/6159 6664/7490/6167 6663/7497/6173 6655/7488/6165 +f 6657/7489/6166 6665/7498/6174 6672/7499/6175 6664/7490/6167 +f 6658/7491/6168 6666/7500/6176 6665/7501/6174 6657/7492/6166 +f 6659/7493/6169 6667/7502/6177 6666/7500/6176 6658/7491/6168 +f 6660/7494/6170 6668/7503/6178 6667/7502/6177 6659/7493/6169 +f 6661/7495/6171 6669/7504/6179 6668/7503/6178 6660/7494/6170 +f 6662/7496/6172 6670/7505/6180 6669/7504/6179 6661/7495/6171 +f 6663/7497/6173 6671/7506/6181 6670/7505/6180 6662/7496/6172 +f 6664/7490/6167 6672/7499/6175 6671/7506/6181 6663/7497/6173 +f 6665/7498/6174 6673/7507/6182 6680/7508/6183 6672/7499/6175 +f 6666/7500/6176 6674/7509/6184 6673/7510/6182 6665/7501/6174 +f 6667/7502/6177 6675/7511/6185 6674/7509/6184 6666/7500/6176 +f 6668/7503/6178 6676/7512/6186 6675/7511/6185 6667/7502/6177 +f 6669/7504/6179 6677/7513/6187 6676/7512/6186 6668/7503/6178 +f 6670/7505/6180 6678/7514/6188 6677/7513/6187 6669/7504/6179 +f 6671/7506/6181 6679/7515/6189 6678/7514/6188 6670/7505/6180 +f 6672/7499/6175 6680/7508/6183 6679/7515/6189 6671/7506/6181 +f 6673/7507/6182 6681/7516/6190 6688/7517/6191 6680/7508/6183 +f 6674/7509/6184 6682/7518/6168 6681/7519/6190 6673/7510/6182 +f 6675/7511/6185 6683/7520/6169 6682/7518/6168 6674/7509/6184 +f 6676/7512/6186 6684/7521/6192 6683/7520/6169 6675/7511/6185 +f 6677/7513/6187 6685/7522/6171 6684/7521/6192 6676/7512/6186 +f 6678/7514/6188 6686/7523/6172 6685/7522/6171 6677/7513/6187 +f 6679/7515/6189 6687/7524/6193 6686/7523/6172 6678/7514/6188 +f 6680/7508/6183 6688/7517/6191 6687/7524/6193 6679/7515/6189 +f 6681/7516/6190 6689/7525/6174 6696/7526/6175 6688/7517/6191 +f 6682/7518/6168 6690/7527/6176 6689/7528/6174 6681/7519/6190 +f 6683/7520/6169 6691/7529/6177 6690/7527/6176 6682/7518/6168 +f 6684/7521/6192 6692/7530/6178 6691/7529/6177 6683/7520/6169 +f 6685/7522/6171 6693/7531/6194 6692/7530/6178 6684/7521/6192 +f 6686/7523/6172 6694/7532/6195 6693/7531/6194 6685/7522/6171 +f 6687/7524/6193 6695/7533/6181 6694/7532/6195 6686/7523/6172 +f 6688/7517/6191 6696/7526/6175 6695/7533/6181 6687/7524/6193 +f 6689/7525/6174 6697/7534/6196 6704/7535/6197 6696/7526/6175 +f 6690/7527/6176 6698/7536/6198 6697/7537/6196 6689/7528/6174 +f 6691/7529/6177 6699/7538/6199 6698/7536/6198 6690/7527/6176 +f 6692/7530/6178 6700/7539/6200 6699/7538/6199 6691/7529/6177 +f 6693/7531/6194 6701/7540/6187 6700/7539/6200 6692/7530/6178 +f 6694/7532/6195 6702/7541/6188 6701/7540/6187 6693/7531/6194 +f 6695/7533/6181 6703/7542/6189 6702/7541/6188 6694/7532/6195 +f 6696/7526/6175 6704/7535/6197 6703/7542/6189 6695/7533/6181 +f 6705/7543/6201 6713/7544/6201 6720/7545/6202 6712/7546/6202 +f 6706/7547/6203 6714/7548/6203 6713/7549/6201 6705/7550/6201 +f 6707/7551/6204 6715/7552/6204 6714/7548/6203 6706/7547/6203 +f 6708/7553/6205 6716/7554/6205 6715/7552/6204 6707/7551/6204 +f 6709/7555/6206 6717/7556/6206 6716/7554/6205 6708/7553/6205 +f 6710/7557/6207 6718/7558/6207 6717/7556/6206 6709/7555/6206 +f 6711/7559/6208 6719/7560/6208 6718/7558/6207 6710/7557/6207 +f 6712/7546/6202 6720/7545/6202 6719/7560/6208 6711/7559/6208 +f 6713/7544/6201 6721/7561/6209 6728/7562/6210 6720/7545/6202 +f 6714/7548/6203 6722/7563/6211 6721/7564/6209 6713/7549/6201 +f 6715/7552/6204 6723/7565/6212 6722/7563/6211 6714/7548/6203 +f 6716/7554/6205 6724/7566/6213 6723/7565/6212 6715/7552/6204 +f 6717/7556/6206 6725/7567/6214 6724/7566/6213 6716/7554/6205 +f 6718/7558/6207 6726/7568/6215 6725/7567/6214 6717/7556/6206 +f 6719/7560/6208 6727/7569/6216 6726/7568/6215 6718/7558/6207 +f 6720/7545/6202 6728/7562/6210 6727/7569/6216 6719/7560/6208 +f 6721/7561/6209 6729/7570/6217 6736/7571/6218 6728/7562/6210 +f 6722/7563/6211 6730/7572/6219 6729/7573/6217 6721/7564/6209 +f 6723/7565/6212 6731/7574/6220 6730/7572/6219 6722/7563/6211 +f 6724/7566/6213 6732/7575/6221 6731/7574/6220 6723/7565/6212 +f 6725/7567/6214 6733/7576/6222 6732/7575/6221 6724/7566/6213 +f 6726/7568/6215 6734/7577/6223 6733/7576/6222 6725/7567/6214 +f 6727/7569/6216 6735/7578/6224 6734/7577/6223 6726/7568/6215 +f 6728/7562/6210 6736/7571/6218 6735/7578/6224 6727/7569/6216 +f 6729/7570/6217 6737/7579/6225 6744/7580/6226 6736/7571/6218 +f 6730/7572/6219 6738/7581/6227 6737/7582/6225 6729/7573/6217 +f 6731/7574/6220 6739/7583/6228 6738/7581/6227 6730/7572/6219 +f 6732/7575/6221 6740/7584/6229 6739/7583/6228 6731/7574/6220 +f 6733/7576/6222 6741/7585/6230 6740/7584/6229 6732/7575/6221 +f 6734/7577/6223 6742/7586/6231 6741/7585/6230 6733/7576/6222 +f 6735/7578/6224 6743/7587/6232 6742/7586/6231 6734/7577/6223 +f 6736/7571/6218 6744/7580/6226 6743/7587/6232 6735/7578/6224 +f 6737/7579/6225 6745/7588/6233 6752/7589/6234 6744/7580/6226 +f 6738/7581/6227 6746/7590/6235 6745/7591/6233 6737/7582/6225 +f 6739/7583/6228 6747/7592/6236 6746/7590/6235 6738/7581/6227 +f 6740/7584/6229 6748/7593/6237 6747/7592/6236 6739/7583/6228 +f 6741/7585/6230 6749/7594/6238 6748/7593/6237 6740/7584/6229 +f 6742/7586/6231 6750/7595/6239 6749/7594/6238 6741/7585/6230 +f 6743/7587/6232 6751/7596/6240 6750/7595/6239 6742/7586/6231 +f 6744/7580/6226 6752/7589/6234 6751/7596/6240 6743/7587/6232 +f 6745/7588/6233 6753/7597/6241 6760/7598/6242 6752/7589/6234 +f 6746/7590/6235 6754/7599/6243 6753/7600/6241 6745/7591/6233 +f 6747/7592/6236 6755/7601/6244 6754/7599/6243 6746/7590/6235 +f 6748/7593/6237 6756/7602/6245 6755/7601/6244 6747/7592/6236 +f 6749/7594/6238 6757/7603/6246 6756/7602/6245 6748/7593/6237 +f 6750/7595/6239 6758/7604/6247 6757/7603/6246 6749/7594/6238 +f 6751/7596/6240 6759/7605/6248 6758/7604/6247 6750/7595/6239 +f 6752/7589/6234 6760/7598/6242 6759/7605/6248 6751/7596/6240 +f 6753/7597/6241 6761/7606/6225 6768/7607/6249 6760/7598/6242 +f 6754/7599/6243 6762/7608/6227 6761/7609/6225 6753/7600/6241 +f 6755/7601/6244 6763/7610/6228 6762/7608/6227 6754/7599/6243 +f 6756/7602/6245 6764/7611/6229 6763/7610/6228 6755/7601/6244 +f 6757/7603/6246 6765/7612/6230 6764/7611/6229 6756/7602/6245 +f 6758/7604/6247 6766/7613/6231 6765/7612/6230 6757/7603/6246 +f 6759/7605/6248 6767/7614/6232 6766/7613/6231 6758/7604/6247 +f 6760/7598/6242 6768/7607/6249 6767/7614/6232 6759/7605/6248 +f 6761/7606/6225 6769/7615/6233 6776/7616/6234 6768/7607/6249 +f 6762/7608/6227 6770/7617/6235 6769/7618/6233 6761/7609/6225 +f 6763/7610/6228 6771/7619/6250 6770/7617/6235 6762/7608/6227 +f 6764/7611/6229 6772/7620/6237 6771/7619/6250 6763/7610/6228 +f 6765/7612/6230 6773/7621/6238 6772/7620/6237 6764/7611/6229 +f 6766/7613/6231 6774/7622/6239 6773/7621/6238 6765/7612/6230 +f 6767/7614/6232 6775/7623/6251 6774/7622/6239 6766/7613/6231 +f 6768/7607/6249 6776/7616/6234 6775/7623/6251 6767/7614/6232 +f 6769/7615/6233 6777/7624/6252 6784/7625/6242 6776/7616/6234 +f 6770/7617/6235 6778/7626/6243 6777/7627/6252 6769/7618/6233 +f 6771/7619/6250 6779/7628/6244 6778/7626/6243 6770/7617/6235 +f 6772/7620/6237 6780/7629/6253 6779/7628/6244 6771/7619/6250 +f 6773/7621/6238 6781/7630/6254 6780/7629/6253 6772/7620/6237 +f 6774/7622/6239 6782/7631/6247 6781/7630/6254 6773/7621/6238 +f 6775/7623/6251 6783/7632/6255 6782/7631/6247 6774/7622/6239 +f 6776/7616/6234 6784/7625/6242 6783/7632/6255 6775/7623/6251 +f 6785/7633/6256 6793/7634/6256 6800/7635/6257 6792/7636/6257 +f 6786/7637/6258 6794/7638/6258 6793/7639/6256 6785/7640/6256 +f 6787/7641/6259 6795/7642/6260 6794/7638/6258 6786/7637/6258 +f 6788/7643/6261 6796/7644/6262 6795/7642/6260 6787/7641/6259 +f 6789/7645/6263 6797/7646/6263 6796/7644/6262 6788/7643/6261 +f 6790/7647/6264 6798/7648/6264 6797/7646/6263 6789/7645/6263 +f 6791/7649/6265 6799/7650/6265 6798/7648/6264 6790/7647/6264 +f 6792/7636/6257 6800/7635/6257 6799/7650/6265 6791/7649/6265 +f 6793/7634/6256 6801/7651/6266 6808/7652/6267 6800/7635/6257 +f 6794/7638/6258 6802/7653/6268 6801/7654/6266 6793/7639/6256 +f 6795/7642/6260 6803/7655/6269 6802/7653/6268 6794/7638/6258 +f 6796/7644/6262 6804/7656/6270 6803/7655/6269 6795/7642/6260 +f 6797/7646/6263 6805/7657/6271 6804/7656/6270 6796/7644/6262 +f 6798/7648/6264 6806/7658/6272 6805/7657/6271 6797/7646/6263 +f 6799/7650/6265 6807/7659/6273 6806/7658/6272 6798/7648/6264 +f 6800/7635/6257 6808/7652/6267 6807/7659/6273 6799/7650/6265 +f 6801/7651/6266 6809/7660/6274 6816/7661/6275 6808/7652/6267 +f 6802/7653/6268 6810/7662/6276 6809/7663/6274 6801/7654/6266 +f 6803/7655/6269 6811/7664/6277 6810/7662/6276 6802/7653/6268 +f 6804/7656/6270 6812/7665/6278 6811/7664/6277 6803/7655/6269 +f 6805/7657/6271 6813/7666/6279 6812/7665/6278 6804/7656/6270 +f 6806/7658/6272 6814/7667/6280 6813/7666/6279 6805/7657/6271 +f 6807/7659/6273 6815/7668/6281 6814/7667/6280 6806/7658/6272 +f 6808/7652/6267 6816/7661/6275 6815/7668/6281 6807/7659/6273 +f 6809/7660/6274 6817/7669/6282 6824/7670/6283 6816/7661/6275 +f 6810/7662/6276 6818/7671/6284 6817/7672/6282 6809/7663/6274 +f 6811/7664/6277 6819/7673/6285 6818/7671/6284 6810/7662/6276 +f 6812/7665/6278 6820/7674/6286 6819/7673/6285 6811/7664/6277 +f 6813/7666/6279 6821/7675/6287 6820/7674/6286 6812/7665/6278 +f 6814/7667/6280 6822/7676/6288 6821/7675/6287 6813/7666/6279 +f 6815/7668/6281 6823/7677/6289 6822/7676/6288 6814/7667/6280 +f 6816/7661/6275 6824/7670/6283 6823/7677/6289 6815/7668/6281 +f 6817/7669/6282 6825/7678/6290 6832/7679/6291 6824/7670/6283 +f 6818/7671/6284 6826/7680/6292 6825/7681/6290 6817/7672/6282 +f 6819/7673/6285 6827/7682/6293 6826/7680/6292 6818/7671/6284 +f 6820/7674/6286 6828/7683/6294 6827/7682/6293 6819/7673/6285 +f 6821/7675/6287 6829/7684/6295 6828/7683/6294 6820/7674/6286 +f 6822/7676/6288 6830/7685/6296 6829/7684/6295 6821/7675/6287 +f 6823/7677/6289 6831/7686/6297 6830/7685/6296 6822/7676/6288 +f 6824/7670/6283 6832/7679/6291 6831/7686/6297 6823/7677/6289 +f 6825/7678/6290 6833/7687/6298 6840/7688/6299 6832/7679/6291 +f 6826/7680/6292 6834/7689/6300 6833/7690/6298 6825/7681/6290 +f 6827/7682/6293 6835/7691/6301 6834/7689/6300 6826/7680/6292 +f 6828/7683/6294 6836/7692/6302 6835/7691/6301 6827/7682/6293 +f 6829/7684/6295 6837/7693/6303 6836/7692/6302 6828/7683/6294 +f 6830/7685/6296 6838/7694/6304 6837/7693/6303 6829/7684/6295 +f 6831/7686/6297 6839/7695/6305 6838/7694/6304 6830/7685/6296 +f 6832/7679/6291 6840/7688/6299 6839/7695/6305 6831/7686/6297 +f 6833/7687/6298 6841/7696/6282 6848/7697/6283 6840/7688/6299 +f 6834/7689/6300 6842/7698/6306 6841/7699/6282 6833/7690/6298 +f 6835/7691/6301 6843/7700/6285 6842/7698/6306 6834/7689/6300 +f 6836/7692/6302 6844/7701/6286 6843/7700/6285 6835/7691/6301 +f 6837/7693/6303 6845/7702/6287 6844/7701/6286 6836/7692/6302 +f 6838/7694/6304 6846/7703/6288 6845/7702/6287 6837/7693/6303 +f 6839/7695/6305 6847/7704/6289 6846/7703/6288 6838/7694/6304 +f 6840/7688/6299 6848/7697/6283 6847/7704/6289 6839/7695/6305 +f 6841/7696/6282 6849/7705/6290 6856/7706/6291 6848/7697/6283 +f 6842/7698/6306 6850/7707/6307 6849/7708/6290 6841/7699/6282 +f 6843/7700/6285 6851/7709/6293 6850/7707/6307 6842/7698/6306 +f 6844/7701/6286 6852/7710/6308 6851/7709/6293 6843/7700/6285 +f 6845/7702/6287 6853/7711/6295 6852/7710/6308 6844/7701/6286 +f 6846/7703/6288 6854/7712/6296 6853/7711/6295 6845/7702/6287 +f 6847/7704/6289 6855/7713/6297 6854/7712/6296 6846/7703/6288 +f 6848/7697/6283 6856/7706/6291 6855/7713/6297 6847/7704/6289 +f 6849/7705/6290 6857/7714/6309 6864/7715/6310 6856/7706/6291 +f 6850/7707/6307 6858/7716/6311 6857/7717/6309 6849/7708/6290 +f 6851/7709/6293 6859/7718/6312 6858/7716/6311 6850/7707/6307 +f 6852/7710/6308 6860/7719/6313 6859/7718/6312 6851/7709/6293 +f 6853/7711/6295 6861/7720/6314 6860/7719/6313 6852/7710/6308 +f 6854/7712/6296 6862/7721/6315 6861/7720/6314 6853/7711/6295 +f 6855/7713/6297 6863/7722/6316 6862/7721/6315 6854/7712/6296 +f 6856/7706/6291 6864/7715/6310 6863/7722/6316 6855/7713/6297 +f 6865/7723/6317 6873/7724/6317 6880/7725/6318 6872/7726/6319 +f 6866/7727/6320 6874/7728/6320 6873/7729/6317 6865/7730/6317 +f 6867/7731/6321 6875/7732/6322 6874/7728/6320 6866/7727/6320 +f 6868/7733/6323 6876/7734/6324 6875/7732/6322 6867/7731/6321 +f 6869/7735/6325 6877/7736/6326 6876/7734/6324 6868/7733/6323 +f 6870/7737/6327 6878/7738/6327 6877/7736/6326 6869/7735/6325 +f 6871/7739/6328 6879/7740/6329 6878/7738/6327 6870/7737/6327 +f 6872/7726/6319 6880/7725/6318 6879/7740/6329 6871/7739/6328 +f 6873/7724/6317 6881/7741/6330 6888/7742/6331 6880/7725/6318 +f 6874/7728/6320 6882/7743/6332 6881/7744/6330 6873/7729/6317 +f 6875/7732/6322 6883/7745/6333 6882/7743/6332 6874/7728/6320 +f 6876/7734/6324 6884/7746/6334 6883/7745/6333 6875/7732/6322 +f 6877/7736/6326 6885/7747/6335 6884/7746/6334 6876/7734/6324 +f 6878/7738/6327 6886/7748/6336 6885/7747/6335 6877/7736/6326 +f 6879/7740/6329 6887/7749/6337 6886/7748/6336 6878/7738/6327 +f 6880/7725/6318 6888/7742/6331 6887/7749/6337 6879/7740/6329 +f 6881/7741/6330 6889/7750/6338 6896/7751/6339 6888/7742/6331 +f 6882/7743/6332 6890/7752/6340 6889/7753/6338 6881/7744/6330 +f 6883/7745/6333 6891/7754/6341 6890/7752/6340 6882/7743/6332 +f 6884/7746/6334 6892/7755/6342 6891/7754/6341 6883/7745/6333 +f 6885/7747/6335 6893/7756/6343 6892/7755/6342 6884/7746/6334 +f 6886/7748/6336 6894/7757/6344 6893/7756/6343 6885/7747/6335 +f 6887/7749/6337 6895/7758/6345 6894/7757/6344 6886/7748/6336 +f 6888/7742/6331 6896/7751/6339 6895/7758/6345 6887/7749/6337 +f 6889/7750/6338 6897/7759/6346 6904/7760/6347 6896/7751/6339 +f 6890/7752/6340 6898/7761/6348 6897/7762/6346 6889/7753/6338 +f 6891/7754/6341 6899/7763/6349 6898/7761/6348 6890/7752/6340 +f 6892/7755/6342 6900/7764/6350 6899/7763/6349 6891/7754/6341 +f 6893/7756/6343 6901/7765/6351 6900/7764/6350 6892/7755/6342 +f 6894/7757/6344 6902/7766/6352 6901/7765/6351 6893/7756/6343 +f 6895/7758/6345 6903/7767/6353 6902/7766/6352 6894/7757/6344 +f 6896/7751/6339 6904/7760/6347 6903/7767/6353 6895/7758/6345 +f 6897/7759/6346 6905/7768/6354 6912/7769/6355 6904/7760/6347 +f 6898/7761/6348 6906/7770/6356 6905/7771/6354 6897/7762/6346 +f 6899/7763/6349 6907/7772/6357 6906/7770/6356 6898/7761/6348 +f 6900/7764/6350 6908/7773/6358 6907/7772/6357 6899/7763/6349 +f 6901/7765/6351 6909/7774/6359 6908/7773/6358 6900/7764/6350 +f 6902/7766/6352 6910/7775/6360 6909/7774/6359 6901/7765/6351 +f 6903/7767/6353 6911/7776/6361 6910/7775/6360 6902/7766/6352 +f 6904/7760/6347 6912/7769/6355 6911/7776/6361 6903/7767/6353 +f 6905/7768/6354 6913/7777/6362 6920/7778/6363 6912/7769/6355 +f 6906/7770/6356 6914/7779/6364 6913/7780/6362 6905/7771/6354 +f 6907/7772/6357 6915/7781/6365 6914/7779/6364 6906/7770/6356 +f 6908/7773/6358 6916/7782/6366 6915/7781/6365 6907/7772/6357 +f 6909/7774/6359 6917/7783/6367 6916/7782/6366 6908/7773/6358 +f 6910/7775/6360 6918/7784/6368 6917/7783/6367 6909/7774/6359 +f 6911/7776/6361 6919/7785/6369 6918/7784/6368 6910/7775/6360 +f 6912/7769/6355 6920/7778/6363 6919/7785/6369 6911/7776/6361 +f 6913/7777/6362 6921/7786/6370 6928/7787/6371 6920/7778/6363 +f 6914/7779/6364 6922/7788/6372 6921/7789/6370 6913/7780/6362 +f 6915/7781/6365 6923/7790/6373 6922/7788/6372 6914/7779/6364 +f 6916/7782/6366 6924/7791/6374 6923/7790/6373 6915/7781/6365 +f 6917/7783/6367 6925/7792/6375 6924/7791/6374 6916/7782/6366 +f 6918/7784/6368 6926/7793/6376 6925/7792/6375 6917/7783/6367 +f 6919/7785/6369 6927/7794/6377 6926/7793/6376 6918/7784/6368 +f 6920/7778/6363 6928/7787/6371 6927/7794/6377 6919/7785/6369 +f 6921/7786/6370 6929/7795/6378 6936/7796/6379 6928/7787/6371 +f 6922/7788/6372 6930/7797/6380 6929/7798/6378 6921/7789/6370 +f 6923/7790/6373 6931/7799/6381 6930/7797/6380 6922/7788/6372 +f 6924/7791/6374 6932/7800/6382 6931/7799/6381 6923/7790/6373 +f 6925/7792/6375 6933/7801/6383 6932/7800/6382 6924/7791/6374 +f 6926/7793/6376 6934/7802/6384 6933/7801/6383 6925/7792/6375 +f 6927/7794/6377 6935/7803/6385 6934/7802/6384 6926/7793/6376 +f 6928/7787/6371 6936/7796/6379 6935/7803/6385 6927/7794/6377 +f 6929/7795/6378 6937/7804/6386 6944/7805/6387 6936/7796/6379 +f 6930/7797/6380 6938/7806/6388 6937/7807/6386 6929/7798/6378 +f 6931/7799/6381 6939/7808/6389 6938/7806/6388 6930/7797/6380 +f 6932/7800/6382 6940/7809/6390 6939/7808/6389 6931/7799/6381 +f 6933/7801/6383 6941/7810/6391 6940/7809/6390 6932/7800/6382 +f 6934/7802/6384 6942/7811/6392 6941/7810/6391 6933/7801/6383 +f 6935/7803/6385 6943/7812/6393 6942/7811/6392 6934/7802/6384 +f 6936/7796/6379 6944/7805/6387 6943/7812/6393 6935/7803/6385 +f 6945/7813/6394 6953/7814/6395 6960/7815/6396 6952/7816/6397 +f 6946/7817/6398 6954/7818/6399 6953/7819/6395 6945/7820/6394 +f 6947/7821/6400 6955/7822/6401 6954/7818/6399 6946/7817/6398 +f 6948/7823/6402 6956/7824/6403 6955/7822/6401 6947/7821/6400 +f 6949/7825/6404 6957/7826/6405 6956/7824/6403 6948/7823/6402 +f 6950/7827/6406 6958/7828/6407 6957/7826/6405 6949/7825/6404 +f 6951/7829/6408 6959/7830/6409 6958/7828/6407 6950/7827/6406 +f 6952/7816/6397 6960/7815/6396 6959/7830/6409 6951/7829/6408 +f 6953/7814/6395 6961/7831/6410 6968/7832/6411 6960/7815/6396 +f 6954/7818/6399 6962/7833/6412 6961/7834/6410 6953/7819/6395 +f 6955/7822/6401 6963/7835/6413 6962/7833/6412 6954/7818/6399 +f 6956/7824/6403 6964/7836/6414 6963/7835/6413 6955/7822/6401 +f 6957/7826/6405 6965/7837/6415 6964/7836/6414 6956/7824/6403 +f 6958/7828/6407 6966/7838/6416 6965/7837/6415 6957/7826/6405 +f 6959/7830/6409 6967/7839/6417 6966/7838/6416 6958/7828/6407 +f 6960/7815/6396 6968/7832/6411 6967/7839/6417 6959/7830/6409 +f 6961/7831/6410 6969/7840/6418 6976/7841/6419 6968/7832/6411 +f 6962/7833/6412 6970/7842/6420 6969/7843/6418 6961/7834/6410 +f 6963/7835/6413 6971/7844/6421 6970/7842/6420 6962/7833/6412 +f 6964/7836/6414 6972/7845/6422 6971/7844/6421 6963/7835/6413 +f 6965/7837/6415 6973/7846/6423 6972/7845/6422 6964/7836/6414 +f 6966/7838/6416 6974/7847/6424 6973/7846/6423 6965/7837/6415 +f 6967/7839/6417 6975/7848/6425 6974/7847/6424 6966/7838/6416 +f 6968/7832/6411 6976/7841/6419 6975/7848/6425 6967/7839/6417 +f 6969/7840/6418 6977/7849/6426 6984/7850/6427 6976/7841/6419 +f 6970/7842/6420 6978/7851/6428 6977/7852/6426 6969/7843/6418 +f 6971/7844/6421 6979/7853/6429 6978/7851/6428 6970/7842/6420 +f 6972/7845/6422 6980/7854/6430 6979/7853/6429 6971/7844/6421 +f 6973/7846/6423 6981/7855/6431 6980/7854/6430 6972/7845/6422 +f 6974/7847/6424 6982/7856/6432 6981/7855/6431 6973/7846/6423 +f 6975/7848/6425 6983/7857/6433 6982/7856/6432 6974/7847/6424 +f 6976/7841/6419 6984/7850/6427 6983/7857/6433 6975/7848/6425 +f 6977/7849/6426 6985/7858/6434 6992/7859/6435 6984/7850/6427 +f 6978/7851/6428 6986/7860/6436 6985/7861/6434 6977/7852/6426 +f 6979/7853/6429 6987/7862/6437 6986/7860/6436 6978/7851/6428 +f 6980/7854/6430 6988/7863/6438 6987/7862/6437 6979/7853/6429 +f 6981/7855/6431 6989/7864/6439 6988/7863/6438 6980/7854/6430 +f 6982/7856/6432 6990/7865/6440 6989/7864/6439 6981/7855/6431 +f 6983/7857/6433 6991/7866/6441 6990/7865/6440 6982/7856/6432 +f 6984/7850/6427 6992/7859/6435 6991/7866/6441 6983/7857/6433 +f 6985/7858/6434 6993/7867/6442 7000/7868/6443 6992/7859/6435 +f 6986/7860/6436 6994/7869/6444 6993/7870/6442 6985/7861/6434 +f 6987/7862/6437 6995/7871/6445 6994/7869/6444 6986/7860/6436 +f 6988/7863/6438 6996/7872/6446 6995/7871/6445 6987/7862/6437 +f 6989/7864/6439 6997/7873/6447 6996/7872/6446 6988/7863/6438 +f 6990/7865/6440 6998/7874/6448 6997/7873/6447 6989/7864/6439 +f 6991/7866/6441 6999/7875/6449 6998/7874/6448 6990/7865/6440 +f 6992/7859/6435 7000/7868/6443 6999/7875/6449 6991/7866/6441 +f 6993/7867/6442 7001/7876/6450 7008/7877/6451 7000/7868/6443 +f 6994/7869/6444 7002/7878/6452 7001/7879/6450 6993/7870/6442 +f 6995/7871/6445 7003/7880/6453 7002/7878/6452 6994/7869/6444 +f 6996/7872/6446 7004/7881/6454 7003/7880/6453 6995/7871/6445 +f 6997/7873/6447 7005/7882/6455 7004/7881/6454 6996/7872/6446 +f 6998/7874/6448 7006/7883/6456 7005/7882/6455 6997/7873/6447 +f 6999/7875/6449 7007/7884/6457 7006/7883/6456 6998/7874/6448 +f 7000/7868/6443 7008/7877/6451 7007/7884/6457 6999/7875/6449 +f 7001/7876/6450 7009/7885/6458 7016/7886/6459 7008/7877/6451 +f 7002/7878/6452 7010/7887/6460 7009/7888/6458 7001/7879/6450 +f 7003/7880/6453 7011/7889/6461 7010/7887/6460 7002/7878/6452 +f 7004/7881/6454 7012/7890/6462 7011/7889/6461 7003/7880/6453 +f 7005/7882/6455 7013/7891/6463 7012/7890/6462 7004/7881/6454 +f 7006/7883/6456 7014/7892/6464 7013/7891/6463 7005/7882/6455 +f 7007/7884/6457 7015/7893/6465 7014/7892/6464 7006/7883/6456 +f 7008/7877/6451 7016/7886/6459 7015/7893/6465 7007/7884/6457 +f 7009/7885/6458 7017/7894/6466 7024/7895/6467 7016/7886/6459 +f 7010/7887/6460 7018/7896/6468 7017/7897/6466 7009/7888/6458 +f 7011/7889/6461 7019/7898/6469 7018/7896/6468 7010/7887/6460 +f 7012/7890/6462 7020/7899/6470 7019/7898/6469 7011/7889/6461 +f 7013/7891/6463 7021/7900/6471 7020/7899/6470 7012/7890/6462 +f 7014/7892/6464 7022/7901/6472 7021/7900/6471 7013/7891/6463 +f 7015/7893/6465 7023/7902/6473 7022/7901/6472 7014/7892/6464 +f 7016/7886/6459 7024/7895/6467 7023/7902/6473 7015/7893/6465 +f 7025/7903/6474 7033/7904/6474 7040/7905/6475 7032/7906/6475 +f 7026/7907/6476 7034/7908/6477 7033/7909/6474 7025/7910/6474 +f 7027/7911/6478 7035/7912/6478 7034/7908/6477 7026/7907/6476 +f 7028/7913/6479 7036/7914/6479 7035/7912/6478 7027/7911/6478 +f 7029/7915/6480 7037/7916/6480 7036/7914/6479 7028/7913/6479 +f 7030/7917/6481 7038/7918/6481 7037/7916/6480 7029/7915/6480 +f 7031/7919/6482 7039/7920/6483 7038/7918/6481 7030/7917/6481 +f 7032/7906/6475 7040/7905/6475 7039/7920/6483 7031/7919/6482 +f 7033/7904/6474 7041/7921/6484 7048/7922/6485 7040/7905/6475 +f 7034/7908/6477 7042/7923/6486 7041/7924/6484 7033/7909/6474 +f 7035/7912/6478 7043/7925/6487 7042/7923/6486 7034/7908/6477 +f 7036/7914/6479 7044/7926/6488 7043/7925/6487 7035/7912/6478 +f 7037/7916/6480 7045/7927/6489 7044/7926/6488 7036/7914/6479 +f 7038/7918/6481 7046/7928/6490 7045/7927/6489 7037/7916/6480 +f 7039/7920/6483 7047/7929/6491 7046/7928/6490 7038/7918/6481 +f 7040/7905/6475 7048/7922/6485 7047/7929/6491 7039/7920/6483 +f 7041/7921/6484 7049/7930/6492 7056/7931/6493 7048/7922/6485 +f 7042/7923/6486 7050/7932/6494 7049/7933/6492 7041/7924/6484 +f 7043/7925/6487 7051/7934/6495 7050/7932/6494 7042/7923/6486 +f 7044/7926/6488 7052/7935/6496 7051/7934/6495 7043/7925/6487 +f 7045/7927/6489 7053/7936/6497 7052/7935/6496 7044/7926/6488 +f 7046/7928/6490 7054/7937/6498 7053/7936/6497 7045/7927/6489 +f 7047/7929/6491 7055/7938/6499 7054/7937/6498 7046/7928/6490 +f 7048/7922/6485 7056/7931/6493 7055/7938/6499 7047/7929/6491 +f 7049/7930/6492 7057/7939/6500 7064/7940/6501 7056/7931/6493 +f 7050/7932/6494 7058/7941/6502 7057/7942/6500 7049/7933/6492 +f 7051/7934/6495 7059/7943/6503 7058/7941/6502 7050/7932/6494 +f 7052/7935/6496 7060/7944/6504 7059/7943/6503 7051/7934/6495 +f 7053/7936/6497 7061/7945/6505 7060/7944/6504 7052/7935/6496 +f 7054/7937/6498 7062/7946/6506 7061/7945/6505 7053/7936/6497 +f 7055/7938/6499 7063/7947/6507 7062/7946/6506 7054/7937/6498 +f 7056/7931/6493 7064/7940/6501 7063/7947/6507 7055/7938/6499 +f 7057/7939/6500 7065/7948/6508 7072/7949/6509 7064/7940/6501 +f 7058/7941/6502 7066/7950/6510 7065/7951/6508 7057/7942/6500 +f 7059/7943/6503 7067/7952/6511 7066/7950/6510 7058/7941/6502 +f 7060/7944/6504 7068/7953/6512 7067/7952/6511 7059/7943/6503 +f 7061/7945/6505 7069/7954/6513 7068/7953/6512 7060/7944/6504 +f 7062/7946/6506 7070/7955/6514 7069/7954/6513 7061/7945/6505 +f 7063/7947/6507 7071/7956/6515 7070/7955/6514 7062/7946/6506 +f 7064/7940/6501 7072/7949/6509 7071/7956/6515 7063/7947/6507 +f 7065/7948/6508 7073/7957/6516 7080/7958/6517 7072/7949/6509 +f 7066/7950/6510 7074/7959/6518 7073/7960/6516 7065/7951/6508 +f 7067/7952/6511 7075/7961/6519 7074/7959/6518 7066/7950/6510 +f 7068/7953/6512 7076/7962/6520 7075/7961/6519 7067/7952/6511 +f 7069/7954/6513 7077/7963/6521 7076/7962/6520 7068/7953/6512 +f 7070/7955/6514 7078/7964/6522 7077/7963/6521 7069/7954/6513 +f 7071/7956/6515 7079/7965/6523 7078/7964/6522 7070/7955/6514 +f 7072/7949/6509 7080/7958/6517 7079/7965/6523 7071/7956/6515 +f 7073/7957/6516 7081/7966/6500 7088/7967/6524 7080/7958/6517 +f 7074/7959/6518 7082/7968/6502 7081/7969/6500 7073/7960/6516 +f 7075/7961/6519 7083/7970/6503 7082/7968/6502 7074/7959/6518 +f 7076/7962/6520 7084/7971/6525 7083/7970/6503 7075/7961/6519 +f 7077/7963/6521 7085/7972/6526 7084/7971/6525 7076/7962/6520 +f 7078/7964/6522 7086/7973/6506 7085/7972/6526 7077/7963/6521 +f 7079/7965/6523 7087/7974/6507 7086/7973/6506 7078/7964/6522 +f 7080/7958/6517 7088/7967/6524 7087/7974/6507 7079/7965/6523 +f 7081/7966/6500 7089/7975/6527 7096/7976/6528 7088/7967/6524 +f 7082/7968/6502 7090/7977/6510 7089/7978/6527 7081/7969/6500 +f 7083/7970/6503 7091/7979/6529 7090/7977/6510 7082/7968/6502 +f 7084/7971/6525 7092/7980/6530 7091/7979/6529 7083/7970/6503 +f 7085/7972/6526 7093/7981/6513 7092/7980/6530 7084/7971/6525 +f 7086/7973/6506 7094/7982/6531 7093/7981/6513 7085/7972/6526 +f 7087/7974/6507 7095/7983/6532 7094/7982/6531 7086/7973/6506 +f 7088/7967/6524 7096/7976/6528 7095/7983/6532 7087/7974/6507 +f 7089/7975/6527 7097/7984/6533 7104/7985/6534 7096/7976/6528 +f 7090/7977/6510 7098/7986/6518 7097/7987/6533 7089/7978/6527 +f 7091/7979/6529 7099/7988/6535 7098/7986/6518 7090/7977/6510 +f 7092/7980/6530 7100/7989/6520 7099/7988/6535 7091/7979/6529 +f 7093/7981/6513 7101/7990/6536 7100/7989/6520 7092/7980/6530 +f 7094/7982/6531 7102/7991/6537 7101/7990/6536 7093/7981/6513 +f 7095/7983/6532 7103/7992/6538 7102/7991/6537 7094/7982/6531 +f 7096/7976/6528 7104/7985/6534 7103/7992/6538 7095/7983/6532 +f 7105/7993/6539 7113/7994/6539 7120/7995/6540 7112/7996/6540 +f 7106/7997/6541 7114/7998/6541 7113/7999/6539 7105/8000/6539 +f 7107/8001/6542 7115/8002/6542 7114/7998/6541 7106/7997/6541 +f 7108/8003/6543 7116/8004/6543 7115/8002/6542 7107/8001/6542 +f 7109/8005/6544 7117/8006/6544 7116/8004/6543 7108/8003/6543 +f 7110/8007/6545 7118/8008/6545 7117/8006/6544 7109/8005/6544 +f 7111/8009/6546 7119/8010/6546 7118/8008/6545 7110/8007/6545 +f 7112/7996/6540 7120/7995/6540 7119/8010/6546 7111/8009/6546 +f 7113/7994/6539 7121/8011/6547 7128/8012/6548 7120/7995/6540 +f 7114/7998/6541 7122/8013/6549 7121/8014/6547 7113/7999/6539 +f 7115/8002/6542 7123/8015/6550 7122/8013/6549 7114/7998/6541 +f 7116/8004/6543 7124/8016/6551 7123/8015/6550 7115/8002/6542 +f 7117/8006/6544 7125/8017/6552 7124/8016/6551 7116/8004/6543 +f 7118/8008/6545 7126/8018/6553 7125/8017/6552 7117/8006/6544 +f 7119/8010/6546 7127/8019/6554 7126/8018/6553 7118/8008/6545 +f 7120/7995/6540 7128/8012/6548 7127/8019/6554 7119/8010/6546 +f 7121/8011/6547 7129/8020/6555 7136/8021/6556 7128/8012/6548 +f 7122/8013/6549 7130/8022/6557 7129/8023/6555 7121/8014/6547 +f 7123/8015/6550 7131/8024/6558 7130/8022/6557 7122/8013/6549 +f 7124/8016/6551 7132/8025/6559 7131/8024/6558 7123/8015/6550 +f 7125/8017/6552 7133/8026/6560 7132/8025/6559 7124/8016/6551 +f 7126/8018/6553 7134/8027/6561 7133/8026/6560 7125/8017/6552 +f 7127/8019/6554 7135/8028/6562 7134/8027/6561 7126/8018/6553 +f 7128/8012/6548 7136/8021/6556 7135/8028/6562 7127/8019/6554 +f 7129/8020/6555 7137/8029/6563 7144/8030/6564 7136/8021/6556 +f 7130/8022/6557 7138/8031/6565 7137/8032/6563 7129/8023/6555 +f 7131/8024/6558 7139/8033/6566 7138/8031/6565 7130/8022/6557 +f 7132/8025/6559 7140/8034/6567 7139/8033/6566 7131/8024/6558 +f 7133/8026/6560 7141/8035/6568 7140/8034/6567 7132/8025/6559 +f 7134/8027/6561 7142/8036/6569 7141/8035/6568 7133/8026/6560 +f 7135/8028/6562 7143/8037/6570 7142/8036/6569 7134/8027/6561 +f 7136/8021/6556 7144/8030/6564 7143/8037/6570 7135/8028/6562 +f 7137/8029/6563 7145/8038/6571 7152/8039/6572 7144/8030/6564 +f 7138/8031/6565 7146/8040/6573 7145/8041/6571 7137/8032/6563 +f 7139/8033/6566 7147/8042/6574 7146/8040/6573 7138/8031/6565 +f 7140/8034/6567 7148/8043/6575 7147/8042/6574 7139/8033/6566 +f 7141/8035/6568 7149/8044/6576 7148/8043/6575 7140/8034/6567 +f 7142/8036/6569 7150/8045/6577 7149/8044/6576 7141/8035/6568 +f 7143/8037/6570 7151/8046/6578 7150/8045/6577 7142/8036/6569 +f 7144/8030/6564 7152/8039/6572 7151/8046/6578 7143/8037/6570 +f 7145/8038/6571 7153/8047/6579 7160/8048/6580 7152/8039/6572 +f 7146/8040/6573 7154/8049/6581 7153/8050/6579 7145/8041/6571 +f 7147/8042/6574 7155/8051/6582 7154/8049/6581 7146/8040/6573 +f 7148/8043/6575 7156/8052/6583 7155/8051/6582 7147/8042/6574 +f 7149/8044/6576 7157/8053/6584 7156/8052/6583 7148/8043/6575 +f 7150/8045/6577 7158/8054/6585 7157/8053/6584 7149/8044/6576 +f 7151/8046/6578 7159/8055/6586 7158/8054/6585 7150/8045/6577 +f 7152/8039/6572 7160/8048/6580 7159/8055/6586 7151/8046/6578 +f 7153/8047/6579 7161/8056/6563 7168/8057/6564 7160/8048/6580 +f 7154/8049/6581 7162/8058/6565 7161/8059/6563 7153/8050/6579 +f 7155/8051/6582 7163/8060/6566 7162/8058/6565 7154/8049/6581 +f 7156/8052/6583 7164/8061/6567 7163/8060/6566 7155/8051/6582 +f 7157/8053/6584 7165/8062/6568 7164/8061/6567 7156/8052/6583 +f 7158/8054/6585 7166/8063/6569 7165/8062/6568 7157/8053/6584 +f 7159/8055/6586 7167/8064/6570 7166/8063/6569 7158/8054/6585 +f 7160/8048/6580 7168/8057/6564 7167/8064/6570 7159/8055/6586 +f 7161/8056/6563 7169/8065/6571 7176/8066/6572 7168/8057/6564 +f 7162/8058/6565 7170/8067/6587 7169/8068/6571 7161/8059/6563 +f 7163/8060/6566 7171/8069/6588 7170/8067/6587 7162/8058/6565 +f 7164/8061/6567 7172/8070/6589 7171/8069/6588 7163/8060/6566 +f 7165/8062/6568 7173/8071/6576 7172/8070/6589 7164/8061/6567 +f 7166/8063/6569 7174/8072/6577 7173/8071/6576 7165/8062/6568 +f 7167/8064/6570 7175/8073/6578 7174/8072/6577 7166/8063/6569 +f 7168/8057/6564 7176/8066/6572 7175/8073/6578 7167/8064/6570 +f 7169/8065/6571 7177/8074/6579 7184/8075/6580 7176/8066/6572 +f 7170/8067/6587 7178/8076/6590 7177/8077/6579 7169/8068/6571 +f 7171/8069/6588 7179/8078/6591 7178/8076/6590 7170/8067/6587 +f 7172/8070/6589 7180/8079/6592 7179/8078/6591 7171/8069/6588 +f 7173/8071/6576 7181/8080/6584 7180/8079/6592 7172/8070/6589 +f 7174/8072/6577 7182/8081/6585 7181/8080/6584 7173/8071/6576 +f 7175/8073/6578 7183/8082/6593 7182/8081/6585 7174/8072/6577 +f 7176/8066/6572 7184/8075/6580 7183/8082/6593 7175/8073/6578 +f 7185/8083/6594 7193/8084/6594 7200/8085/6595 7192/8086/6595 +f 7186/8087/6596 7194/8088/6597 7193/8089/6594 7185/8090/6594 +f 7187/8091/6598 7195/8092/6598 7194/8088/6597 7186/8087/6596 +f 7188/8093/6599 7196/8094/6599 7195/8092/6598 7187/8091/6598 +f 7189/8095/6600 7197/8096/6600 7196/8094/6599 7188/8093/6599 +f 7190/8097/6601 7198/8098/6601 7197/8096/6600 7189/8095/6600 +f 7191/8099/6602 7199/8100/6602 7198/8098/6601 7190/8097/6601 +f 7192/8086/6595 7200/8085/6595 7199/8100/6602 7191/8099/6602 +f 7193/8084/6594 7201/8101/6603 7208/8102/6604 7200/8085/6595 +f 7194/8088/6597 7202/8103/6605 7201/8104/6603 7193/8089/6594 +f 7195/8092/6598 7203/8105/6606 7202/8103/6605 7194/8088/6597 +f 7196/8094/6599 7204/8106/6607 7203/8105/6606 7195/8092/6598 +f 7197/8096/6600 7205/8107/6608 7204/8106/6607 7196/8094/6599 +f 7198/8098/6601 7206/8108/6609 7205/8107/6608 7197/8096/6600 +f 7199/8100/6602 7207/8109/6610 7206/8108/6609 7198/8098/6601 +f 7200/8085/6595 7208/8102/6604 7207/8109/6610 7199/8100/6602 +f 7201/8101/6603 7209/8110/6611 7216/8111/6612 7208/8102/6604 +f 7202/8103/6605 7210/8112/6613 7209/8113/6611 7201/8104/6603 +f 7203/8105/6606 7211/8114/6614 7210/8112/6613 7202/8103/6605 +f 7204/8106/6607 7212/8115/6615 7211/8114/6614 7203/8105/6606 +f 7205/8107/6608 7213/8116/6616 7212/8115/6615 7204/8106/6607 +f 7206/8108/6609 7214/8117/6617 7213/8116/6616 7205/8107/6608 +f 7207/8109/6610 7215/8118/6618 7214/8117/6617 7206/8108/6609 +f 7208/8102/6604 7216/8111/6612 7215/8118/6618 7207/8109/6610 +f 7209/8110/6611 7217/8119/6619 7224/8120/6620 7216/8111/6612 +f 7210/8112/6613 7218/8121/6621 7217/8122/6619 7209/8113/6611 +f 7211/8114/6614 7219/8123/6622 7218/8121/6621 7210/8112/6613 +f 7212/8115/6615 7220/8124/6623 7219/8123/6622 7211/8114/6614 +f 7213/8116/6616 7221/8125/6624 7220/8124/6623 7212/8115/6615 +f 7214/8117/6617 7222/8126/6625 7221/8125/6624 7213/8116/6616 +f 7215/8118/6618 7223/8127/6626 7222/8126/6625 7214/8117/6617 +f 7216/8111/6612 7224/8120/6620 7223/8127/6626 7215/8118/6618 +f 7217/8119/6619 7225/8128/6627 7232/8129/6628 7224/8120/6620 +f 7218/8121/6621 7226/8130/6629 7225/8131/6627 7217/8122/6619 +f 7219/8123/6622 7227/8132/6630 7226/8130/6629 7218/8121/6621 +f 7220/8124/6623 7228/8133/6631 7227/8132/6630 7219/8123/6622 +f 7221/8125/6624 7229/8134/6632 7228/8133/6631 7220/8124/6623 +f 7222/8126/6625 7230/8135/6633 7229/8134/6632 7221/8125/6624 +f 7223/8127/6626 7231/8136/6634 7230/8135/6633 7222/8126/6625 +f 7224/8120/6620 7232/8129/6628 7231/8136/6634 7223/8127/6626 +f 7225/8128/6627 7233/8137/6635 7240/8138/6636 7232/8129/6628 +f 7226/8130/6629 7234/8139/6637 7233/8140/6635 7225/8131/6627 +f 7227/8132/6630 7235/8141/6638 7234/8139/6637 7226/8130/6629 +f 7228/8133/6631 7236/8142/6639 7235/8141/6638 7227/8132/6630 +f 7229/8134/6632 7237/8143/6640 7236/8142/6639 7228/8133/6631 +f 7230/8135/6633 7238/8144/6641 7237/8143/6640 7229/8134/6632 +f 7231/8136/6634 7239/8145/6642 7238/8144/6641 7230/8135/6633 +f 7232/8129/6628 7240/8138/6636 7239/8145/6642 7231/8136/6634 +f 7233/8137/6635 7241/8146/6619 7248/8147/6620 7240/8138/6636 +f 7234/8139/6637 7242/8148/6643 7241/8149/6619 7233/8140/6635 +f 7235/8141/6638 7243/8150/6644 7242/8148/6643 7234/8139/6637 +f 7236/8142/6639 7244/8151/6623 7243/8150/6644 7235/8141/6638 +f 7237/8143/6640 7245/8152/6624 7244/8151/6623 7236/8142/6639 +f 7238/8144/6641 7246/8153/6645 7245/8152/6624 7237/8143/6640 +f 7239/8145/6642 7247/8154/6646 7246/8153/6645 7238/8144/6641 +f 7240/8138/6636 7248/8147/6620 7247/8154/6646 7239/8145/6642 +f 7241/8146/6619 7249/8155/6627 7256/8156/6628 7248/8147/6620 +f 7242/8148/6643 7250/8157/6629 7249/8158/6627 7241/8149/6619 +f 7243/8150/6644 7251/8159/6647 7250/8157/6629 7242/8148/6643 +f 7244/8151/6623 7252/8160/6631 7251/8159/6647 7243/8150/6644 +f 7245/8152/6624 7253/8161/6648 7252/8160/6631 7244/8151/6623 +f 7246/8153/6645 7254/8162/6633 7253/8161/6648 7245/8152/6624 +f 7247/8154/6646 7255/8163/6649 7254/8162/6633 7246/8153/6645 +f 7248/8147/6620 7256/8156/6628 7255/8163/6649 7247/8154/6646 +f 7249/8155/6627 7257/8164/6650 7264/8165/6636 7256/8156/6628 +f 7250/8157/6629 7258/8166/6651 7257/8167/6650 7249/8158/6627 +f 7251/8159/6647 7259/8168/6652 7258/8166/6651 7250/8157/6629 +f 7252/8160/6631 7260/8169/6653 7259/8168/6652 7251/8159/6647 +f 7253/8161/6648 7261/8170/6654 7260/8169/6653 7252/8160/6631 +f 7254/8162/6633 7262/8171/6641 7261/8170/6654 7253/8161/6648 +f 7255/8163/6649 7263/8172/6655 7262/8171/6641 7254/8162/6633 +f 7256/8156/6628 7264/8165/6636 7263/8172/6655 7255/8163/6649 +f 7265/8173/6656 7273/8174/6657 7280/8175/6658 7272/8176/6659 +f 7266/8177/6660 7274/8178/6661 7273/8179/6657 7265/8180/6656 +f 7267/8181/6662 7275/8182/6663 7274/8178/6661 7266/8177/6660 +f 7268/8183/6664 7276/8184/6665 7275/8182/6663 7267/8181/6662 +f 7269/8185/6666 7277/8186/6667 7276/8184/6665 7268/8183/6664 +f 7270/8187/6668 7278/8188/6669 7277/8186/6667 7269/8185/6666 +f 7271/8189/6670 7279/8190/6671 7278/8188/6669 7270/8187/6668 +f 7272/8176/6659 7280/8175/6658 7279/8190/6671 7271/8189/6670 +f 7273/8174/6657 7281/8191/6672 7288/8192/6673 7280/8175/6658 +f 7274/8178/6661 7282/8193/6674 7281/8194/6672 7273/8179/6657 +f 7275/8182/6663 7283/8195/6675 7282/8193/6674 7274/8178/6661 +f 7276/8184/6665 7284/8196/6676 7283/8195/6675 7275/8182/6663 +f 7277/8186/6667 7285/8197/6677 7284/8196/6676 7276/8184/6665 +f 7278/8188/6669 7286/8198/6678 7285/8197/6677 7277/8186/6667 +f 7279/8190/6671 7287/8199/6679 7286/8198/6678 7278/8188/6669 +f 7280/8175/6658 7288/8192/6673 7287/8199/6679 7279/8190/6671 +f 7281/8191/6672 7289/8200/6680 7296/8201/6681 7288/8192/6673 +f 7282/8193/6674 7290/8202/6682 7289/8203/6680 7281/8194/6672 +f 7283/8195/6675 7291/8204/6683 7290/8202/6682 7282/8193/6674 +f 7284/8196/6676 7292/8205/6684 7291/8204/6683 7283/8195/6675 +f 7285/8197/6677 7293/8206/6685 7292/8205/6684 7284/8196/6676 +f 7286/8198/6678 7294/8207/6686 7293/8206/6685 7285/8197/6677 +f 7287/8199/6679 7295/8208/6687 7294/8207/6686 7286/8198/6678 +f 7288/8192/6673 7296/8201/6681 7295/8208/6687 7287/8199/6679 +f 7289/8200/6680 7297/8209/6688 7304/8210/6689 7296/8201/6681 +f 7290/8202/6682 7298/8211/6690 7297/8212/6688 7289/8203/6680 +f 7291/8204/6683 7299/8213/6691 7298/8211/6690 7290/8202/6682 +f 7292/8205/6684 7300/8214/6692 7299/8213/6691 7291/8204/6683 +f 7293/8206/6685 7301/8215/6693 7300/8214/6692 7292/8205/6684 +f 7294/8207/6686 7302/8216/6694 7301/8215/6693 7293/8206/6685 +f 7295/8208/6687 7303/8217/6695 7302/8216/6694 7294/8207/6686 +f 7296/8201/6681 7304/8210/6689 7303/8217/6695 7295/8208/6687 +f 7297/8209/6688 7305/8218/6696 7312/8219/6697 7304/8210/6689 +f 7298/8211/6690 7306/8220/6698 7305/8221/6696 7297/8212/6688 +f 7299/8213/6691 7307/8222/6699 7306/8220/6698 7298/8211/6690 +f 7300/8214/6692 7308/8223/6700 7307/8222/6699 7299/8213/6691 +f 7301/8215/6693 7309/8224/6701 7308/8223/6700 7300/8214/6692 +f 7302/8216/6694 7310/8225/6702 7309/8224/6701 7301/8215/6693 +f 7303/8217/6695 7311/8226/6703 7310/8225/6702 7302/8216/6694 +f 7304/8210/6689 7312/8219/6697 7311/8226/6703 7303/8217/6695 +f 7305/8218/6696 7313/8227/6704 7320/8228/6705 7312/8219/6697 +f 7306/8220/6698 7314/8229/6706 7313/8230/6704 7305/8221/6696 +f 7307/8222/6699 7315/8231/6707 7314/8229/6706 7306/8220/6698 +f 7308/8223/6700 7316/8232/6708 7315/8231/6707 7307/8222/6699 +f 7309/8224/6701 7317/8233/6709 7316/8232/6708 7308/8223/6700 +f 7310/8225/6702 7318/8234/6710 7317/8233/6709 7309/8224/6701 +f 7311/8226/6703 7319/8235/6711 7318/8234/6710 7310/8225/6702 +f 7312/8219/6697 7320/8228/6705 7319/8235/6711 7311/8226/6703 +f 7313/8227/6704 7321/8236/6712 7328/8237/6713 7320/8228/6705 +f 7314/8229/6706 7322/8238/6714 7321/8239/6712 7313/8230/6704 +f 7315/8231/6707 7323/8240/6715 7322/8238/6714 7314/8229/6706 +f 7316/8232/6708 7324/8241/6716 7323/8240/6715 7315/8231/6707 +f 7317/8233/6709 7325/8242/6717 7324/8241/6716 7316/8232/6708 +f 7318/8234/6710 7326/8243/6718 7325/8242/6717 7317/8233/6709 +f 7319/8235/6711 7327/8244/6719 7326/8243/6718 7318/8234/6710 +f 7320/8228/6705 7328/8237/6713 7327/8244/6719 7319/8235/6711 +f 7321/8236/6712 7329/8245/6720 7336/8246/6721 7328/8237/6713 +f 7322/8238/6714 7330/8247/6722 7329/8248/6720 7321/8239/6712 +f 7323/8240/6715 7331/8249/6723 7330/8247/6722 7322/8238/6714 +f 7324/8241/6716 7332/8250/6724 7331/8249/6723 7323/8240/6715 +f 7325/8242/6717 7333/8251/6725 7332/8250/6724 7324/8241/6716 +f 7326/8243/6718 7334/8252/6726 7333/8251/6725 7325/8242/6717 +f 7327/8244/6719 7335/8253/6727 7334/8252/6726 7326/8243/6718 +f 7328/8237/6713 7336/8246/6721 7335/8253/6727 7327/8244/6719 +f 7329/8245/6720 7337/8254/6728 7344/8255/6729 7336/8246/6721 +f 7330/8247/6722 7338/8256/6730 7337/8257/6728 7329/8248/6720 +f 7331/8249/6723 7339/8258/6731 7338/8256/6730 7330/8247/6722 +f 7332/8250/6724 7340/8259/6732 7339/8258/6731 7331/8249/6723 +f 7333/8251/6725 7341/8260/6733 7340/8259/6732 7332/8250/6724 +f 7334/8252/6726 7342/8261/6734 7341/8260/6733 7333/8251/6725 +f 7335/8253/6727 7343/8262/6735 7342/8261/6734 7334/8252/6726 +f 7336/8246/6721 7344/8255/6729 7343/8262/6735 7335/8253/6727 +f 7345/8263/6736 7353/8264/6736 7360/8265/6737 7352/8266/6738 +f 7346/8267/6739 7354/8268/6739 7353/8269/6736 7345/8270/6736 +f 7347/8271/6740 7355/8272/6741 7354/8268/6739 7346/8267/6739 +f 7348/8273/6742 7356/8274/6743 7355/8272/6741 7347/8271/6740 +f 7349/8275/6744 7357/8276/6744 7356/8274/6743 7348/8273/6742 +f 7350/8277/6745 7358/8278/6745 7357/8276/6744 7349/8275/6744 +f 7351/8279/6746 7359/8280/6746 7358/8278/6745 7350/8277/6745 +f 7352/8266/6738 7360/8265/6737 7359/8280/6746 7351/8279/6746 +f 7353/8264/6736 7361/8281/6747 7368/8282/6748 7360/8265/6737 +f 7354/8268/6739 7362/8283/6749 7361/8284/6747 7353/8269/6736 +f 7355/8272/6741 7363/8285/6750 7362/8283/6749 7354/8268/6739 +f 7356/8274/6743 7364/8286/6751 7363/8285/6750 7355/8272/6741 +f 7357/8276/6744 7365/8287/6752 7364/8286/6751 7356/8274/6743 +f 7358/8278/6745 7366/8288/6753 7365/8287/6752 7357/8276/6744 +f 7359/8280/6746 7367/8289/6754 7366/8288/6753 7358/8278/6745 +f 7360/8265/6737 7368/8282/6748 7367/8289/6754 7359/8280/6746 +f 7361/8281/6747 7369/8290/6755 7376/8291/6756 7368/8282/6748 +f 7362/8283/6749 7370/8292/6757 7369/8293/6755 7361/8284/6747 +f 7363/8285/6750 7371/8294/6758 7370/8292/6757 7362/8283/6749 +f 7364/8286/6751 7372/8295/6759 7371/8294/6758 7363/8285/6750 +f 7365/8287/6752 7373/8296/6760 7372/8295/6759 7364/8286/6751 +f 7366/8288/6753 7374/8297/6761 7373/8296/6760 7365/8287/6752 +f 7367/8289/6754 7375/8298/6762 7374/8297/6761 7366/8288/6753 +f 7368/8282/6748 7376/8291/6756 7375/8298/6762 7367/8289/6754 +f 7369/8290/6755 7377/8299/6763 7384/8300/6764 7376/8291/6756 +f 7370/8292/6757 7378/8301/6765 7377/8302/6763 7369/8293/6755 +f 7371/8294/6758 7379/8303/6766 7378/8301/6765 7370/8292/6757 +f 7372/8295/6759 7380/8304/6767 7379/8303/6766 7371/8294/6758 +f 7373/8296/6760 7381/8305/6768 7380/8304/6767 7372/8295/6759 +f 7374/8297/6761 7382/8306/6769 7381/8305/6768 7373/8296/6760 +f 7375/8298/6762 7383/8307/6770 7382/8306/6769 7374/8297/6761 +f 7376/8291/6756 7384/8300/6764 7383/8307/6770 7375/8298/6762 +f 7377/8299/6763 7385/8308/6771 7392/8309/6772 7384/8300/6764 +f 7378/8301/6765 7386/8310/6773 7385/8311/6771 7377/8302/6763 +f 7379/8303/6766 7387/8312/6774 7386/8310/6773 7378/8301/6765 +f 7380/8304/6767 7388/8313/6775 7387/8312/6774 7379/8303/6766 +f 7381/8305/6768 7389/8314/6776 7388/8313/6775 7380/8304/6767 +f 7382/8306/6769 7390/8315/6777 7389/8314/6776 7381/8305/6768 +f 7383/8307/6770 7391/8316/6778 7390/8315/6777 7382/8306/6769 +f 7384/8300/6764 7392/8309/6772 7391/8316/6778 7383/8307/6770 +f 7385/8308/6771 7393/8317/6779 7400/8318/6780 7392/8309/6772 +f 7386/8310/6773 7394/8319/6781 7393/8320/6779 7385/8311/6771 +f 7387/8312/6774 7395/8321/6782 7394/8319/6781 7386/8310/6773 +f 7388/8313/6775 7396/8322/6783 7395/8321/6782 7387/8312/6774 +f 7389/8314/6776 7397/8323/6784 7396/8322/6783 7388/8313/6775 +f 7390/8315/6777 7398/8324/6785 7397/8323/6784 7389/8314/6776 +f 7391/8316/6778 7399/8325/6786 7398/8324/6785 7390/8315/6777 +f 7392/8309/6772 7400/8318/6780 7399/8325/6786 7391/8316/6778 +f 7393/8317/6779 7401/8326/6787 7408/8327/6788 7400/8318/6780 +f 7394/8319/6781 7402/8328/6765 7401/8329/6787 7393/8320/6779 +f 7395/8321/6782 7403/8330/6766 7402/8328/6765 7394/8319/6781 +f 7396/8322/6783 7404/8331/6767 7403/8330/6766 7395/8321/6782 +f 7397/8323/6784 7405/8332/6768 7404/8331/6767 7396/8322/6783 +f 7398/8324/6785 7406/8333/6769 7405/8332/6768 7397/8323/6784 +f 7399/8325/6786 7407/8334/6770 7406/8333/6769 7398/8324/6785 +f 7400/8318/6780 7408/8327/6788 7407/8334/6770 7399/8325/6786 +f 7401/8326/6787 7409/8335/6771 7416/8336/6772 7408/8327/6788 +f 7402/8328/6765 7410/8337/6789 7409/8338/6771 7401/8329/6787 +f 7403/8330/6766 7411/8339/6790 7410/8337/6789 7402/8328/6765 +f 7404/8331/6767 7412/8340/6775 7411/8339/6790 7403/8330/6766 +f 7405/8332/6768 7413/8341/6791 7412/8340/6775 7404/8331/6767 +f 7406/8333/6769 7414/8342/6777 7413/8341/6791 7405/8332/6768 +f 7407/8334/6770 7415/8343/6778 7414/8342/6777 7406/8333/6769 +f 7408/8327/6788 7416/8336/6772 7415/8343/6778 7407/8334/6770 +f 7409/8335/6771 7417/8344/6792 7424/8345/6793 7416/8336/6772 +f 7410/8337/6789 7418/8346/6781 7417/8347/6792 7409/8338/6771 +f 7411/8339/6790 7419/8348/6794 7418/8346/6781 7410/8337/6789 +f 7412/8340/6775 7420/8349/6795 7419/8348/6794 7411/8339/6790 +f 7413/8341/6791 7421/8350/6796 7420/8349/6795 7412/8340/6775 +f 7414/8342/6777 7422/8351/6797 7421/8350/6796 7413/8341/6791 +f 7415/8343/6778 7423/8352/6798 7422/8351/6797 7414/8342/6777 +f 7416/8336/6772 7424/8345/6793 7423/8352/6798 7415/8343/6778 +f 7425/8353/6799 7433/8354/6799 7440/8355/6800 7432/8356/6801 +f 7426/8357/6802 7434/8358/6802 7433/8359/6799 7425/8360/6799 +f 7427/8361/6803 7435/8362/6803 7434/8358/6802 7426/8357/6802 +f 7428/8363/6804 7436/8364/6804 7435/8362/6803 7427/8361/6803 +f 7429/8365/6805 7437/8366/6805 7436/8364/6804 7428/8363/6804 +f 7430/8367/6806 7438/8368/6807 7437/8366/6805 7429/8365/6805 +f 7431/8369/6808 7439/8370/6808 7438/8368/6807 7430/8367/6806 +f 7432/8356/6801 7440/8355/6800 7439/8370/6808 7431/8369/6808 +f 7433/8354/6799 7441/8371/6809 7448/8372/6810 7440/8355/6800 +f 7434/8358/6802 7442/8373/6811 7441/8374/6809 7433/8359/6799 +f 7435/8362/6803 7443/8375/6812 7442/8373/6811 7434/8358/6802 +f 7436/8364/6804 7444/8376/6813 7443/8375/6812 7435/8362/6803 +f 7437/8366/6805 7445/8377/6814 7444/8376/6813 7436/8364/6804 +f 7438/8368/6807 7446/8378/6815 7445/8377/6814 7437/8366/6805 +f 7439/8370/6808 7447/8379/6816 7446/8378/6815 7438/8368/6807 +f 7440/8355/6800 7448/8372/6810 7447/8379/6816 7439/8370/6808 +f 7441/8371/6809 7449/8380/6817 7456/8381/6818 7448/8372/6810 +f 7442/8373/6811 7450/8382/6819 7449/8383/6817 7441/8374/6809 +f 7443/8375/6812 7451/8384/6820 7450/8382/6819 7442/8373/6811 +f 7444/8376/6813 7452/8385/6821 7451/8384/6820 7443/8375/6812 +f 7445/8377/6814 7453/8386/6822 7452/8385/6821 7444/8376/6813 +f 7446/8378/6815 7454/8387/6823 7453/8386/6822 7445/8377/6814 +f 7447/8379/6816 7455/8388/6824 7454/8387/6823 7446/8378/6815 +f 7448/8372/6810 7456/8381/6818 7455/8388/6824 7447/8379/6816 +f 7449/8380/6817 7457/8389/6825 7464/8390/6826 7456/8381/6818 +f 7450/8382/6819 7458/8391/6827 7457/8392/6825 7449/8383/6817 +f 7451/8384/6820 7459/8393/6828 7458/8391/6827 7450/8382/6819 +f 7452/8385/6821 7460/8394/6829 7459/8393/6828 7451/8384/6820 +f 7453/8386/6822 7461/8395/6830 7460/8394/6829 7452/8385/6821 +f 7454/8387/6823 7462/8396/6831 7461/8395/6830 7453/8386/6822 +f 7455/8388/6824 7463/8397/6832 7462/8396/6831 7454/8387/6823 +f 7456/8381/6818 7464/8390/6826 7463/8397/6832 7455/8388/6824 +f 7457/8389/6825 7465/8398/6833 7472/8399/6834 7464/8390/6826 +f 7458/8391/6827 7466/8400/6835 7465/8401/6833 7457/8392/6825 +f 7459/8393/6828 7467/8402/6836 7466/8400/6835 7458/8391/6827 +f 7460/8394/6829 7468/8403/6837 7467/8402/6836 7459/8393/6828 +f 7461/8395/6830 7469/8404/6838 7468/8403/6837 7460/8394/6829 +f 7462/8396/6831 7470/8405/6839 7469/8404/6838 7461/8395/6830 +f 7463/8397/6832 7471/8406/6840 7470/8405/6839 7462/8396/6831 +f 7464/8390/6826 7472/8399/6834 7471/8406/6840 7463/8397/6832 +f 7465/8398/6833 7473/8407/6841 7480/8408/6842 7472/8399/6834 +f 7466/8400/6835 7474/8409/6843 7473/8410/6841 7465/8401/6833 +f 7467/8402/6836 7475/8411/6844 7474/8409/6843 7466/8400/6835 +f 7468/8403/6837 7476/8412/6845 7475/8411/6844 7467/8402/6836 +f 7469/8404/6838 7477/8413/6846 7476/8412/6845 7468/8403/6837 +f 7470/8405/6839 7478/8414/6847 7477/8413/6846 7469/8404/6838 +f 7471/8406/6840 7479/8415/6848 7478/8414/6847 7470/8405/6839 +f 7472/8399/6834 7480/8408/6842 7479/8415/6848 7471/8406/6840 +f 7473/8407/6841 7481/8416/6849 7488/8417/6826 7480/8408/6842 +f 7474/8409/6843 7482/8418/6827 7481/8419/6849 7473/8410/6841 +f 7475/8411/6844 7483/8420/6828 7482/8418/6827 7474/8409/6843 +f 7476/8412/6845 7484/8421/6829 7483/8420/6828 7475/8411/6844 +f 7477/8413/6846 7485/8422/6850 7484/8421/6829 7476/8412/6845 +f 7478/8414/6847 7486/8423/6831 7485/8422/6850 7477/8413/6846 +f 7479/8415/6848 7487/8424/6832 7486/8423/6831 7478/8414/6847 +f 7480/8408/6842 7488/8417/6826 7487/8424/6832 7479/8415/6848 +f 7481/8416/6849 7489/8425/6851 7496/8426/6852 7488/8417/6826 +f 7482/8418/6827 7490/8427/6853 7489/8428/6851 7481/8419/6849 +f 7483/8420/6828 7491/8429/6854 7490/8427/6853 7482/8418/6827 +f 7484/8421/6829 7492/8430/6855 7491/8429/6854 7483/8420/6828 +f 7485/8422/6850 7493/8431/6856 7492/8430/6855 7484/8421/6829 +f 7486/8423/6831 7494/8432/6839 7493/8431/6856 7485/8422/6850 +f 7487/8424/6832 7495/8433/6857 7494/8432/6839 7486/8423/6831 +f 7488/8417/6826 7496/8426/6852 7495/8433/6857 7487/8424/6832 +f 7489/8425/6851 7497/8434/6858 7504/8435/6859 7496/8426/6852 +f 7490/8427/6853 7498/8436/6860 7497/8437/6858 7489/8428/6851 +f 7491/8429/6854 7499/8438/6861 7498/8436/6860 7490/8427/6853 +f 7492/8430/6855 7500/8439/6862 7499/8438/6861 7491/8429/6854 +f 7493/8431/6856 7501/8440/6863 7500/8439/6862 7492/8430/6855 +f 7494/8432/6839 7502/8441/6864 7501/8440/6863 7493/8431/6856 +f 7495/8433/6857 7503/8442/6865 7502/8441/6864 7494/8432/6839 +f 7496/8426/6852 7504/8435/6859 7503/8442/6865 7495/8433/6857 +f 7505/8443/6866 7513/8444/6866 7520/8445/6867 7512/8446/6868 +f 7506/8447/6869 7514/8448/6869 7513/8449/6866 7505/8450/6866 +f 7507/8451/6870 7515/8452/6870 7514/8448/6869 7506/8447/6869 +f 7508/8453/6871 7516/8454/6871 7515/8452/6870 7507/8451/6870 +f 7509/8455/6872 7517/8456/6872 7516/8454/6871 7508/8453/6871 +f 7510/8457/6873 7518/8458/6873 7517/8456/6872 7509/8455/6872 +f 7511/8459/6874 7519/8460/6875 7518/8458/6873 7510/8457/6873 +f 7512/8446/6868 7520/8445/6867 7519/8460/6875 7511/8459/6874 +f 7513/8444/6866 7521/8461/6876 7528/8462/6877 7520/8445/6867 +f 7514/8448/6869 7522/8463/6878 7521/8464/6876 7513/8449/6866 +f 7515/8452/6870 7523/8465/6879 7522/8463/6878 7514/8448/6869 +f 7516/8454/6871 7524/8466/6880 7523/8465/6879 7515/8452/6870 +f 7517/8456/6872 7525/8467/6881 7524/8466/6880 7516/8454/6871 +f 7518/8458/6873 7526/8468/6882 7525/8467/6881 7517/8456/6872 +f 7519/8460/6875 7527/8469/6883 7526/8468/6882 7518/8458/6873 +f 7520/8445/6867 7528/8462/6877 7527/8469/6883 7519/8460/6875 +f 7521/8461/6876 7529/8470/6884 7536/8471/6885 7528/8462/6877 +f 7522/8463/6878 7530/8472/6886 7529/8473/6884 7521/8464/6876 +f 7523/8465/6879 7531/8474/6887 7530/8472/6886 7522/8463/6878 +f 7524/8466/6880 7532/8475/6888 7531/8474/6887 7523/8465/6879 +f 7525/8467/6881 7533/8476/6889 7532/8475/6888 7524/8466/6880 +f 7526/8468/6882 7534/8477/6890 7533/8476/6889 7525/8467/6881 +f 7527/8469/6883 7535/8478/6891 7534/8477/6890 7526/8468/6882 +f 7528/8462/6877 7536/8471/6885 7535/8478/6891 7527/8469/6883 +f 7529/8470/6884 7537/8479/6892 7544/8480/6893 7536/8471/6885 +f 7530/8472/6886 7538/8481/6894 7537/8482/6892 7529/8473/6884 +f 7531/8474/6887 7539/8483/6895 7538/8481/6894 7530/8472/6886 +f 7532/8475/6888 7540/8484/6896 7539/8483/6895 7531/8474/6887 +f 7533/8476/6889 7541/8485/6897 7540/8484/6896 7532/8475/6888 +f 7534/8477/6890 7542/8486/6898 7541/8485/6897 7533/8476/6889 +f 7535/8478/6891 7543/8487/6899 7542/8486/6898 7534/8477/6890 +f 7536/8471/6885 7544/8480/6893 7543/8487/6899 7535/8478/6891 +f 7537/8479/6892 7545/8488/6900 7552/8489/6901 7544/8480/6893 +f 7538/8481/6894 7546/8490/6902 7545/8491/6900 7537/8482/6892 +f 7539/8483/6895 7547/8492/6903 7546/8490/6902 7538/8481/6894 +f 7540/8484/6896 7548/8493/6904 7547/8492/6903 7539/8483/6895 +f 7541/8485/6897 7549/8494/6905 7548/8493/6904 7540/8484/6896 +f 7542/8486/6898 7550/8495/6906 7549/8494/6905 7541/8485/6897 +f 7543/8487/6899 7551/8496/6907 7550/8495/6906 7542/8486/6898 +f 7544/8480/6893 7552/8489/6901 7551/8496/6907 7543/8487/6899 +f 7545/8488/6900 7553/8497/6908 7560/8498/6909 7552/8489/6901 +f 7546/8490/6902 7554/8499/6910 7553/8500/6908 7545/8491/6900 +f 7547/8492/6903 7555/8501/6911 7554/8499/6910 7546/8490/6902 +f 7548/8493/6904 7556/8502/6912 7555/8501/6911 7547/8492/6903 +f 7549/8494/6905 7557/8503/6913 7556/8502/6912 7548/8493/6904 +f 7550/8495/6906 7558/8504/6914 7557/8503/6913 7549/8494/6905 +f 7551/8496/6907 7559/8505/6915 7558/8504/6914 7550/8495/6906 +f 7552/8489/6901 7560/8498/6909 7559/8505/6915 7551/8496/6907 +f 7553/8497/6908 7561/8506/6916 7568/8507/6893 7560/8498/6909 +f 7554/8499/6910 7562/8508/6917 7561/8509/6916 7553/8500/6908 +f 7555/8501/6911 7563/8510/6918 7562/8508/6917 7554/8499/6910 +f 7556/8502/6912 7564/8511/6896 7563/8510/6918 7555/8501/6911 +f 7557/8503/6913 7565/8512/6919 7564/8511/6896 7556/8502/6912 +f 7558/8504/6914 7566/8513/6920 7565/8512/6919 7557/8503/6913 +f 7559/8505/6915 7567/8514/6899 7566/8513/6920 7558/8504/6914 +f 7560/8498/6909 7568/8507/6893 7567/8514/6899 7559/8505/6915 +f 7561/8506/6916 7569/8515/6900 7576/8516/6901 7568/8507/6893 +f 7562/8508/6917 7570/8517/6921 7569/8518/6900 7561/8509/6916 +f 7563/8510/6918 7571/8519/6903 7570/8517/6921 7562/8508/6917 +f 7564/8511/6896 7572/8520/6904 7571/8519/6903 7563/8510/6918 +f 7565/8512/6919 7573/8521/6922 7572/8520/6904 7564/8511/6896 +f 7566/8513/6920 7574/8522/6923 7573/8521/6922 7565/8512/6919 +f 7567/8514/6899 7575/8523/6924 7574/8522/6923 7566/8513/6920 +f 7568/8507/6893 7576/8516/6901 7575/8523/6924 7567/8514/6899 +f 7569/8515/6900 7577/8524/6925 7584/8525/6926 7576/8516/6901 +f 7570/8517/6921 7578/8526/6910 7577/8527/6925 7569/8518/6900 +f 7571/8519/6903 7579/8528/6927 7578/8526/6910 7570/8517/6921 +f 7572/8520/6904 7580/8529/6912 7579/8528/6927 7571/8519/6903 +f 7573/8521/6922 7581/8530/6928 7580/8529/6912 7572/8520/6904 +f 7574/8522/6923 7582/8531/6929 7581/8530/6928 7573/8521/6922 +f 7575/8523/6924 7583/8532/6930 7582/8531/6929 7574/8522/6923 +f 7576/8516/6901 7584/8525/6926 7583/8532/6930 7575/8523/6924 +f 7585/8533/6931 7593/8534/6932 7600/8535/6933 7592/8536/6934 +f 7586/8537/6935 7594/8538/6936 7593/8539/6932 7585/8540/6931 +f 7587/8541/6937 7595/8542/6938 7594/8538/6936 7586/8537/6935 +f 7588/8543/6939 7596/8544/6940 7595/8542/6938 7587/8541/6937 +f 7589/8545/6941 7597/8546/6942 7596/8544/6940 7588/8543/6939 +f 7590/8547/6943 7598/8548/6944 7597/8546/6942 7589/8545/6941 +f 7591/8549/6945 7599/8550/6946 7598/8548/6944 7590/8547/6943 +f 7592/8536/6934 7600/8535/6933 7599/8550/6946 7591/8549/6945 +f 7593/8534/6932 7601/8551/6947 7608/8552/6948 7600/8535/6933 +f 7594/8538/6936 7602/8553/6949 7601/8554/6947 7593/8539/6932 +f 7595/8542/6938 7603/8555/6950 7602/8553/6949 7594/8538/6936 +f 7596/8544/6940 7604/8556/6951 7603/8555/6950 7595/8542/6938 +f 7597/8546/6942 7605/8557/6952 7604/8556/6951 7596/8544/6940 +f 7598/8548/6944 7606/8558/6953 7605/8557/6952 7597/8546/6942 +f 7599/8550/6946 7607/8559/6954 7606/8558/6953 7598/8548/6944 +f 7600/8535/6933 7608/8552/6948 7607/8559/6954 7599/8550/6946 +f 7601/8551/6947 7609/8560/6955 7616/8561/6956 7608/8552/6948 +f 7602/8553/6949 7610/8562/6957 7609/8563/6955 7601/8554/6947 +f 7603/8555/6950 7611/8564/6958 7610/8562/6957 7602/8553/6949 +f 7604/8556/6951 7612/8565/6959 7611/8564/6958 7603/8555/6950 +f 7605/8557/6952 7613/8566/6960 7612/8565/6959 7604/8556/6951 +f 7606/8558/6953 7614/8567/6961 7613/8566/6960 7605/8557/6952 +f 7607/8559/6954 7615/8568/6962 7614/8567/6961 7606/8558/6953 +f 7608/8552/6948 7616/8561/6956 7615/8568/6962 7607/8559/6954 +f 7609/8560/6955 7617/8569/6963 7624/8570/6934 7616/8561/6956 +f 7610/8562/6957 7618/8571/6964 7617/8572/6963 7609/8563/6955 +f 7611/8564/6958 7619/8573/6965 7618/8571/6964 7610/8562/6957 +f 7612/8565/6959 7620/8574/6966 7619/8573/6965 7611/8564/6958 +f 7613/8566/6960 7621/8575/6967 7620/8574/6966 7612/8565/6959 +f 7614/8567/6961 7622/8576/6968 7621/8575/6967 7613/8566/6960 +f 7615/8568/6962 7623/8577/6969 7622/8576/6968 7614/8567/6961 +f 7616/8561/6956 7624/8570/6934 7623/8577/6969 7615/8568/6962 +f 7617/8569/6963 7625/8578/6970 7632/8579/6971 7624/8570/6934 +f 7618/8571/6964 7626/8580/6972 7625/8581/6970 7617/8572/6963 +f 7619/8573/6965 7627/8582/6973 7626/8580/6972 7618/8571/6964 +f 7620/8574/6966 7628/8583/6974 7627/8582/6973 7619/8573/6965 +f 7621/8575/6967 7629/8584/6975 7628/8583/6974 7620/8574/6966 +f 7622/8576/6968 7630/8585/6976 7629/8584/6975 7621/8575/6967 +f 7623/8577/6969 7631/8586/6977 7630/8585/6976 7622/8576/6968 +f 7624/8570/6934 7632/8579/6971 7631/8586/6977 7623/8577/6969 +f 7625/8578/6970 7633/8587/6978 7640/8588/6979 7632/8579/6971 +f 7626/8580/6972 7634/8589/6980 7633/8590/6978 7625/8581/6970 +f 7627/8582/6973 7635/8591/6981 7634/8589/6980 7626/8580/6972 +f 7628/8583/6974 7636/8592/6982 7635/8591/6981 7627/8582/6973 +f 7629/8584/6975 7637/8593/6983 7636/8592/6982 7628/8583/6974 +f 7630/8585/6976 7638/8594/6984 7637/8593/6983 7629/8584/6975 +f 7631/8586/6977 7639/8595/6985 7638/8594/6984 7630/8585/6976 +f 7632/8579/6971 7640/8588/6979 7639/8595/6985 7631/8586/6977 +f 7633/8587/6978 7641/8596/6970 7648/8597/6986 7640/8588/6979 +f 7634/8589/6980 7642/8598/6987 7641/8599/6970 7633/8590/6978 +f 7635/8591/6981 7643/8600/6988 7642/8598/6987 7634/8589/6980 +f 7636/8592/6982 7644/8601/6974 7643/8600/6988 7635/8591/6981 +f 7637/8593/6983 7645/8602/6989 7644/8601/6974 7636/8592/6982 +f 7638/8594/6984 7646/8603/6968 7645/8602/6989 7637/8593/6983 +f 7639/8595/6985 7647/8604/6990 7646/8603/6968 7638/8594/6984 +f 7640/8588/6979 7648/8597/6986 7647/8604/6990 7639/8595/6985 +f 7641/8596/6970 7649/8605/6991 7656/8606/6992 7648/8597/6986 +f 7642/8598/6987 7650/8607/6993 7649/8608/6991 7641/8599/6970 +f 7643/8600/6988 7651/8609/6994 7650/8607/6993 7642/8598/6987 +f 7644/8601/6974 7652/8610/6966 7651/8609/6994 7643/8600/6988 +f 7645/8602/6989 7653/8611/6995 7652/8610/6966 7644/8601/6974 +f 7646/8603/6968 7654/8612/6968 7653/8611/6995 7645/8602/6989 +f 7647/8604/6990 7655/8613/6996 7654/8612/6968 7646/8603/6968 +f 7648/8597/6986 7656/8606/6992 7655/8613/6996 7647/8604/6990 +f 7649/8605/6991 7657/8614/6997 7664/8615/6956 7656/8606/6992 +f 7650/8607/6993 7658/8616/6998 7657/8617/6997 7649/8608/6991 +f 7651/8609/6994 7659/8618/6999 7658/8616/6998 7650/8607/6993 +f 7652/8610/6966 7660/8619/7000 7659/8618/6999 7651/8609/6994 +f 7653/8611/6995 7661/8620/7001 7660/8619/7000 7652/8610/6966 +f 7654/8612/6968 7662/8621/7002 7661/8620/7001 7653/8611/6995 +f 7655/8613/6996 7663/8622/7003 7662/8621/7002 7654/8612/6968 +f 7656/8606/6992 7664/8615/6956 7663/8622/7003 7655/8613/6996 +f 7665/8623/7004 7673/8624/7004 7680/8625/7005 7672/8626/7005 +f 7666/8627/7006 7674/8628/7006 7673/8629/7004 7665/8630/7004 +f 7667/8631/7007 7675/8632/7007 7674/8628/7006 7666/8627/7006 +f 7668/8633/7008 7676/8634/7008 7675/8632/7007 7667/8631/7007 +f 7669/8635/7009 7677/8636/7009 7676/8634/7008 7668/8633/7008 +f 7670/8637/7010 7678/8638/7010 7677/8636/7009 7669/8635/7009 +f 7671/8639/7011 7679/8640/7011 7678/8638/7010 7670/8637/7010 +f 7672/8626/7005 7680/8625/7005 7679/8640/7011 7671/8639/7011 +f 7673/8624/7004 7681/8641/7012 7688/8642/7013 7680/8625/7005 +f 7674/8628/7006 7682/8643/7014 7681/8644/7012 7673/8629/7004 +f 7675/8632/7007 7683/8645/7015 7682/8643/7014 7674/8628/7006 +f 7676/8634/7008 7684/8646/7016 7683/8645/7015 7675/8632/7007 +f 7677/8636/7009 7685/8647/7017 7684/8646/7016 7676/8634/7008 +f 7678/8638/7010 7686/8648/7018 7685/8647/7017 7677/8636/7009 +f 7679/8640/7011 7687/8649/7019 7686/8648/7018 7678/8638/7010 +f 7680/8625/7005 7688/8642/7013 7687/8649/7019 7679/8640/7011 +f 7681/8641/7012 7689/8650/7020 7696/8651/7021 7688/8642/7013 +f 7682/8643/7014 7690/8652/7022 7689/8653/7020 7681/8644/7012 +f 7683/8645/7015 7691/8654/7023 7690/8652/7022 7682/8643/7014 +f 7684/8646/7016 7692/8655/7024 7691/8654/7023 7683/8645/7015 +f 7685/8647/7017 7693/8656/7025 7692/8655/7024 7684/8646/7016 +f 7686/8648/7018 7694/8657/7026 7693/8656/7025 7685/8647/7017 +f 7687/8649/7019 7695/8658/7027 7694/8657/7026 7686/8648/7018 +f 7688/8642/7013 7696/8651/7021 7695/8658/7027 7687/8649/7019 +f 7689/8650/7020 7697/8659/7028 7704/8660/7029 7696/8651/7021 +f 7690/8652/7022 7698/8661/7030 7697/8662/7028 7689/8653/7020 +f 7691/8654/7023 7699/8663/7031 7698/8661/7030 7690/8652/7022 +f 7692/8655/7024 7700/8664/7032 7699/8663/7031 7691/8654/7023 +f 7693/8656/7025 7701/8665/7033 7700/8664/7032 7692/8655/7024 +f 7694/8657/7026 7702/8666/7034 7701/8665/7033 7693/8656/7025 +f 7695/8658/7027 7703/8667/7035 7702/8666/7034 7694/8657/7026 +f 7696/8651/7021 7704/8660/7029 7703/8667/7035 7695/8658/7027 +f 7697/8659/7028 7705/8668/7036 7712/8669/7037 7704/8660/7029 +f 7698/8661/7030 7706/8670/7038 7705/8671/7036 7697/8662/7028 +f 7699/8663/7031 7707/8672/7039 7706/8670/7038 7698/8661/7030 +f 7700/8664/7032 7708/8673/7040 7707/8672/7039 7699/8663/7031 +f 7701/8665/7033 7709/8674/7041 7708/8673/7040 7700/8664/7032 +f 7702/8666/7034 7710/8675/7042 7709/8674/7041 7701/8665/7033 +f 7703/8667/7035 7711/8676/7043 7710/8675/7042 7702/8666/7034 +f 7704/8660/7029 7712/8669/7037 7711/8676/7043 7703/8667/7035 +f 7705/8668/7036 7713/8677/7044 7720/8678/7045 7712/8669/7037 +f 7706/8670/7038 7714/8679/7046 7713/8680/7044 7705/8671/7036 +f 7707/8672/7039 7715/8681/7047 7714/8679/7046 7706/8670/7038 +f 7708/8673/7040 7716/8682/7048 7715/8681/7047 7707/8672/7039 +f 7709/8674/7041 7717/8683/7049 7716/8682/7048 7708/8673/7040 +f 7710/8675/7042 7718/8684/7050 7717/8683/7049 7709/8674/7041 +f 7711/8676/7043 7719/8685/7051 7718/8684/7050 7710/8675/7042 +f 7712/8669/7037 7720/8678/7045 7719/8685/7051 7711/8676/7043 +f 7713/8677/7044 7721/8686/7028 7728/8687/7029 7720/8678/7045 +f 7714/8679/7046 7722/8688/7052 7721/8689/7028 7713/8680/7044 +f 7715/8681/7047 7723/8690/7031 7722/8688/7052 7714/8679/7046 +f 7716/8682/7048 7724/8691/7053 7723/8690/7031 7715/8681/7047 +f 7717/8683/7049 7725/8692/7033 7724/8691/7053 7716/8682/7048 +f 7718/8684/7050 7726/8693/7034 7725/8692/7033 7717/8683/7049 +f 7719/8685/7051 7727/8694/7035 7726/8693/7034 7718/8684/7050 +f 7720/8678/7045 7728/8687/7029 7727/8694/7035 7719/8685/7051 +f 7721/8686/7028 7729/8695/7036 7736/8696/7037 7728/8687/7029 +f 7722/8688/7052 7730/8697/7054 7729/8698/7036 7721/8689/7028 +f 7723/8690/7031 7731/8699/7055 7730/8697/7054 7722/8688/7052 +f 7724/8691/7053 7732/8700/7040 7731/8699/7055 7723/8690/7031 +f 7725/8692/7033 7733/8701/7056 7732/8700/7040 7724/8691/7053 +f 7726/8693/7034 7734/8702/7057 7733/8701/7056 7725/8692/7033 +f 7727/8694/7035 7735/8703/7058 7734/8702/7057 7726/8693/7034 +f 7728/8687/7029 7736/8696/7037 7735/8703/7058 7727/8694/7035 +f 7729/8695/7036 7737/8704/7059 7744/8705/7045 7736/8696/7037 +f 7730/8697/7054 7738/8706/7060 7737/8707/7059 7729/8698/7036 +f 7731/8699/7055 7739/8708/7061 7738/8706/7060 7730/8697/7054 +f 7732/8700/7040 7740/8709/7062 7739/8708/7061 7731/8699/7055 +f 7733/8701/7056 7741/8710/7063 7740/8709/7062 7732/8700/7040 +f 7734/8702/7057 7742/8711/7064 7741/8710/7063 7733/8701/7056 +f 7735/8703/7058 7743/8712/7065 7742/8711/7064 7734/8702/7057 +f 7736/8696/7037 7744/8705/7045 7743/8712/7065 7735/8703/7058 +f 7745/8713/7066 7753/8714/7067 7760/8715/7068 7752/8716/7068 +f 7746/8717/7069 7754/8718/7069 7753/8719/7067 7745/8720/7066 +f 7747/8721/7070 7755/8722/7070 7754/8718/7069 7746/8717/7069 +f 7748/8723/7071 7756/8724/7071 7755/8722/7070 7747/8721/7070 +f 7749/8725/7072 7757/8726/7072 7756/8724/7071 7748/8723/7071 +f 7750/8727/7073 7758/8728/7073 7757/8726/7072 7749/8725/7072 +f 7751/8729/7074 7759/8730/7075 7758/8728/7073 7750/8727/7073 +f 7752/8716/7068 7760/8715/7068 7759/8730/7075 7751/8729/7074 +f 7753/8714/7067 7761/8731/7076 7768/8732/7077 7760/8715/7068 +f 7754/8718/7069 7762/8733/7078 7761/8734/7076 7753/8719/7067 +f 7755/8722/7070 7763/8735/7079 7762/8733/7078 7754/8718/7069 +f 7756/8724/7071 7764/8736/7080 7763/8735/7079 7755/8722/7070 +f 7757/8726/7072 7765/8737/7081 7764/8736/7080 7756/8724/7071 +f 7758/8728/7073 7766/8738/7082 7765/8737/7081 7757/8726/7072 +f 7759/8730/7075 7767/8739/7083 7766/8738/7082 7758/8728/7073 +f 7760/8715/7068 7768/8732/7077 7767/8739/7083 7759/8730/7075 +f 7761/8731/7076 7769/8740/7084 7776/8741/7085 7768/8732/7077 +f 7762/8733/7078 7770/8742/7086 7769/8743/7084 7761/8734/7076 +f 7763/8735/7079 7771/8744/7087 7770/8742/7086 7762/8733/7078 +f 7764/8736/7080 7772/8745/7088 7771/8744/7087 7763/8735/7079 +f 7765/8737/7081 7773/8746/7089 7772/8745/7088 7764/8736/7080 +f 7766/8738/7082 7774/8747/7090 7773/8746/7089 7765/8737/7081 +f 7767/8739/7083 7775/8748/7091 7774/8747/7090 7766/8738/7082 +f 7768/8732/7077 7776/8741/7085 7775/8748/7091 7767/8739/7083 +f 7769/8740/7084 7777/8749/7092 7784/8750/7093 7776/8741/7085 +f 7770/8742/7086 7778/8751/7094 7777/8752/7092 7769/8743/7084 +f 7771/8744/7087 7779/8753/7095 7778/8751/7094 7770/8742/7086 +f 7772/8745/7088 7780/8754/7096 7779/8753/7095 7771/8744/7087 +f 7773/8746/7089 7781/8755/7097 7780/8754/7096 7772/8745/7088 +f 7774/8747/7090 7782/8756/7098 7781/8755/7097 7773/8746/7089 +f 7775/8748/7091 7783/8757/7099 7782/8756/7098 7774/8747/7090 +f 7776/8741/7085 7784/8750/7093 7783/8757/7099 7775/8748/7091 +f 7777/8749/7092 7785/8758/7100 7792/8759/7101 7784/8750/7093 +f 7778/8751/7094 7786/8760/7102 7785/8761/7100 7777/8752/7092 +f 7779/8753/7095 7787/8762/7103 7786/8760/7102 7778/8751/7094 +f 7780/8754/7096 7788/8763/7104 7787/8762/7103 7779/8753/7095 +f 7781/8755/7097 7789/8764/7105 7788/8763/7104 7780/8754/7096 +f 7782/8756/7098 7790/8765/7106 7789/8764/7105 7781/8755/7097 +f 7783/8757/7099 7791/8766/7107 7790/8765/7106 7782/8756/7098 +f 7784/8750/7093 7792/8759/7101 7791/8766/7107 7783/8757/7099 +f 7785/8758/7100 7793/8767/7108 7800/8768/7109 7792/8759/7101 +f 7786/8760/7102 7794/8769/7110 7793/8770/7108 7785/8761/7100 +f 7787/8762/7103 7795/8771/7111 7794/8769/7110 7786/8760/7102 +f 7788/8763/7104 7796/8772/7112 7795/8771/7111 7787/8762/7103 +f 7789/8764/7105 7797/8773/7113 7796/8772/7112 7788/8763/7104 +f 7790/8765/7106 7798/8774/7114 7797/8773/7113 7789/8764/7105 +f 7791/8766/7107 7799/8775/7115 7798/8774/7114 7790/8765/7106 +f 7792/8759/7101 7800/8768/7109 7799/8775/7115 7791/8766/7107 +f 7793/8767/7108 7801/8776/7116 7808/8777/7093 7800/8768/7109 +f 7794/8769/7110 7802/8778/7094 7801/8779/7116 7793/8770/7108 +f 7795/8771/7111 7803/8780/7095 7802/8778/7094 7794/8769/7110 +f 7796/8772/7112 7804/8781/7117 7803/8780/7095 7795/8771/7111 +f 7797/8773/7113 7805/8782/7118 7804/8781/7117 7796/8772/7112 +f 7798/8774/7114 7806/8783/7119 7805/8782/7118 7797/8773/7113 +f 7799/8775/7115 7807/8784/7099 7806/8783/7119 7798/8774/7114 +f 7800/8768/7109 7808/8777/7093 7807/8784/7099 7799/8775/7115 +f 7801/8776/7116 7809/8785/7120 7816/8786/7101 7808/8777/7093 +f 7802/8778/7094 7810/8787/7121 7809/8788/7120 7801/8779/7116 +f 7803/8780/7095 7811/8789/7122 7810/8787/7121 7802/8778/7094 +f 7804/8781/7117 7812/8790/7104 7811/8789/7122 7803/8780/7095 +f 7805/8782/7118 7813/8791/7123 7812/8790/7104 7804/8781/7117 +f 7806/8783/7119 7814/8792/7106 7813/8791/7123 7805/8782/7118 +f 7807/8784/7099 7815/8793/7124 7814/8792/7106 7806/8783/7119 +f 7808/8777/7093 7816/8786/7101 7815/8793/7124 7807/8784/7099 +f 7809/8785/7120 7817/8794/7125 7824/8795/7126 7816/8786/7101 +f 7810/8787/7121 7818/8796/7110 7817/8797/7125 7809/8788/7120 +f 7811/8789/7122 7819/8798/7127 7818/8796/7110 7810/8787/7121 +f 7812/8790/7104 7820/8799/7128 7819/8798/7127 7811/8789/7122 +f 7813/8791/7123 7821/8800/7129 7820/8799/7128 7812/8790/7104 +f 7814/8792/7106 7822/8801/7130 7821/8800/7129 7813/8791/7123 +f 7815/8793/7124 7823/8802/7131 7822/8801/7130 7814/8792/7106 +f 7816/8786/7101 7824/8795/7126 7823/8802/7131 7815/8793/7124 +f 7825/8803/7132 7833/8804/7132 7840/8805/7133 7832/8806/7133 +f 7826/8807/7134 7834/8808/7135 7833/8809/7132 7825/8810/7132 +f 7827/8811/7136 7835/8812/7136 7834/8808/7135 7826/8807/7134 +f 7828/8813/7137 7836/8814/7138 7835/8812/7136 7827/8811/7136 +f 7829/8815/7139 7837/8816/7139 7836/8814/7138 7828/8813/7137 +f 7830/8817/7140 7838/8818/7141 7837/8816/7139 7829/8815/7139 +f 7831/8819/7142 7839/8820/7142 7838/8818/7141 7830/8817/7140 +f 7832/8806/7133 7840/8805/7133 7839/8820/7142 7831/8819/7142 +f 7833/8804/7132 7841/8821/7143 7848/8822/7144 7840/8805/7133 +f 7834/8808/7135 7842/8823/7145 7841/8824/7143 7833/8809/7132 +f 7835/8812/7136 7843/8825/7146 7842/8823/7145 7834/8808/7135 +f 7836/8814/7138 7844/8826/7147 7843/8825/7146 7835/8812/7136 +f 7837/8816/7139 7845/8827/7148 7844/8826/7147 7836/8814/7138 +f 7838/8818/7141 7846/8828/7149 7845/8827/7148 7837/8816/7139 +f 7839/8820/7142 7847/8829/7150 7846/8828/7149 7838/8818/7141 +f 7840/8805/7133 7848/8822/7144 7847/8829/7150 7839/8820/7142 +f 7841/8821/7143 7849/8830/7151 7856/8831/7152 7848/8822/7144 +f 7842/8823/7145 7850/8832/7153 7849/8833/7151 7841/8824/7143 +f 7843/8825/7146 7851/8834/7154 7850/8832/7153 7842/8823/7145 +f 7844/8826/7147 7852/8835/7155 7851/8834/7154 7843/8825/7146 +f 7845/8827/7148 7853/8836/7156 7852/8835/7155 7844/8826/7147 +f 7846/8828/7149 7854/8837/7157 7853/8836/7156 7845/8827/7148 +f 7847/8829/7150 7855/8838/7158 7854/8837/7157 7846/8828/7149 +f 7848/8822/7144 7856/8831/7152 7855/8838/7158 7847/8829/7150 +f 7849/8830/7151 7857/8839/7159 7864/8840/7160 7856/8831/7152 +f 7850/8832/7153 7858/8841/7161 7857/8842/7159 7849/8833/7151 +f 7851/8834/7154 7859/8843/7162 7858/8841/7161 7850/8832/7153 +f 7852/8835/7155 7860/8844/7163 7859/8843/7162 7851/8834/7154 +f 7853/8836/7156 7861/8845/7164 7860/8844/7163 7852/8835/7155 +f 7854/8837/7157 7862/8846/7165 7861/8845/7164 7853/8836/7156 +f 7855/8838/7158 7863/8847/7166 7862/8846/7165 7854/8837/7157 +f 7856/8831/7152 7864/8840/7160 7863/8847/7166 7855/8838/7158 +f 7857/8839/7159 7865/8848/7167 7872/8849/7168 7864/8840/7160 +f 7858/8841/7161 7866/8850/7169 7865/8851/7167 7857/8842/7159 +f 7859/8843/7162 7867/8852/7170 7866/8850/7169 7858/8841/7161 +f 7860/8844/7163 7868/8853/7171 7867/8852/7170 7859/8843/7162 +f 7861/8845/7164 7869/8854/7172 7868/8853/7171 7860/8844/7163 +f 7862/8846/7165 7870/8855/7173 7869/8854/7172 7861/8845/7164 +f 7863/8847/7166 7871/8856/7174 7870/8855/7173 7862/8846/7165 +f 7864/8840/7160 7872/8849/7168 7871/8856/7174 7863/8847/7166 +f 7865/8848/7167 7873/8857/7175 7880/8858/7176 7872/8849/7168 +f 7866/8850/7169 7874/8859/7177 7873/8860/7175 7865/8851/7167 +f 7867/8852/7170 7875/8861/7178 7874/8859/7177 7866/8850/7169 +f 7868/8853/7171 7876/8862/7179 7875/8861/7178 7867/8852/7170 +f 7869/8854/7172 7877/8863/7180 7876/8862/7179 7868/8853/7171 +f 7870/8855/7173 7878/8864/7181 7877/8863/7180 7869/8854/7172 +f 7871/8856/7174 7879/8865/7182 7878/8864/7181 7870/8855/7173 +f 7872/8849/7168 7880/8858/7176 7879/8865/7182 7871/8856/7174 +f 7873/8857/7175 7881/8866/7183 7888/8867/7184 7880/8858/7176 +f 7874/8859/7177 7882/8868/7161 7881/8869/7183 7873/8860/7175 +f 7875/8861/7178 7883/8870/7162 7882/8868/7161 7874/8859/7177 +f 7876/8862/7179 7884/8871/7185 7883/8870/7162 7875/8861/7178 +f 7877/8863/7180 7885/8872/7186 7884/8871/7185 7876/8862/7179 +f 7878/8864/7181 7886/8873/7187 7885/8872/7186 7877/8863/7180 +f 7879/8865/7182 7887/8874/7188 7886/8873/7187 7878/8864/7181 +f 7880/8858/7176 7888/8867/7184 7887/8874/7188 7879/8865/7182 +f 7881/8866/7183 7889/8875/7189 7896/8876/7168 7888/8867/7184 +f 7882/8868/7161 7890/8877/7190 7889/8878/7189 7881/8869/7183 +f 7883/8870/7162 7891/8879/7191 7890/8877/7190 7882/8868/7161 +f 7884/8871/7185 7892/8880/7192 7891/8879/7191 7883/8870/7162 +f 7885/8872/7186 7893/8881/7172 7892/8880/7192 7884/8871/7185 +f 7886/8873/7187 7894/8882/7173 7893/8881/7172 7885/8872/7186 +f 7887/8874/7188 7895/8883/7193 7894/8882/7173 7886/8873/7187 +f 7888/8867/7184 7896/8876/7168 7895/8883/7193 7887/8874/7188 +f 7889/8875/7189 7897/8884/7194 7904/8885/7195 7896/8876/7168 +f 7890/8877/7190 7898/8886/7196 7897/8887/7194 7889/8878/7189 +f 7891/8879/7191 7899/8888/7197 7898/8886/7196 7890/8877/7190 +f 7892/8880/7192 7900/8889/7179 7899/8888/7197 7891/8879/7191 +f 7893/8881/7172 7901/8890/7180 7900/8889/7179 7892/8880/7192 +f 7894/8882/7173 7902/8891/7198 7901/8890/7180 7893/8881/7172 +f 7895/8883/7193 7903/8892/7199 7902/8891/7198 7894/8882/7173 +f 7896/8876/7168 7904/8885/7195 7903/8892/7199 7895/8883/7193 +f 7905/8893/7200 7913/8894/7200 7920/8895/7201 7912/8896/7201 +f 7906/8897/7202 7914/8898/7202 7913/8899/7200 7905/8900/7200 +f 7907/8901/7203 7915/8902/7203 7914/8898/7202 7906/8897/7202 +f 7908/8903/7204 7916/8904/7204 7915/8902/7203 7907/8901/7203 +f 7909/8905/7205 7917/8906/7205 7916/8904/7204 7908/8903/7204 +f 7910/8907/7206 7918/8908/7206 7917/8906/7205 7909/8905/7205 +f 7911/8909/7207 7919/8910/7207 7918/8908/7206 7910/8907/7206 +f 7912/8896/7201 7920/8895/7201 7919/8910/7207 7911/8909/7207 +f 7913/8894/7200 7921/8911/7208 7928/8912/7209 7920/8895/7201 +f 7914/8898/7202 7922/8913/7210 7921/8914/7208 7913/8899/7200 +f 7915/8902/7203 7923/8915/7211 7922/8913/7210 7914/8898/7202 +f 7916/8904/7204 7924/8916/7212 7923/8915/7211 7915/8902/7203 +f 7917/8906/7205 7925/8917/7213 7924/8916/7212 7916/8904/7204 +f 7918/8908/7206 7926/8918/7214 7925/8917/7213 7917/8906/7205 +f 7919/8910/7207 7927/8919/7215 7926/8918/7214 7918/8908/7206 +f 7920/8895/7201 7928/8912/7209 7927/8919/7215 7919/8910/7207 +f 7921/8911/7208 7929/8920/7216 7936/8921/7217 7928/8912/7209 +f 7922/8913/7210 7930/8922/7218 7929/8923/7216 7921/8914/7208 +f 7923/8915/7211 7931/8924/7219 7930/8922/7218 7922/8913/7210 +f 7924/8916/7212 7932/8925/7220 7931/8924/7219 7923/8915/7211 +f 7925/8917/7213 7933/8926/7221 7932/8925/7220 7924/8916/7212 +f 7926/8918/7214 7934/8927/7222 7933/8926/7221 7925/8917/7213 +f 7927/8919/7215 7935/8928/7223 7934/8927/7222 7926/8918/7214 +f 7928/8912/7209 7936/8921/7217 7935/8928/7223 7927/8919/7215 +f 7929/8920/7216 7937/8929/7224 7944/8930/7225 7936/8921/7217 +f 7930/8922/7218 7938/8931/7226 7937/8932/7224 7929/8923/7216 +f 7931/8924/7219 7939/8933/7227 7938/8931/7226 7930/8922/7218 +f 7932/8925/7220 7940/8934/7228 7939/8933/7227 7931/8924/7219 +f 7933/8926/7221 7941/8935/7229 7940/8934/7228 7932/8925/7220 +f 7934/8927/7222 7942/8936/7230 7941/8935/7229 7933/8926/7221 +f 7935/8928/7223 7943/8937/7231 7942/8936/7230 7934/8927/7222 +f 7936/8921/7217 7944/8930/7225 7943/8937/7231 7935/8928/7223 +f 7937/8929/7224 7945/8938/7232 7952/8939/7233 7944/8930/7225 +f 7938/8931/7226 7946/8940/7234 7945/8941/7232 7937/8932/7224 +f 7939/8933/7227 7947/8942/7235 7946/8940/7234 7938/8931/7226 +f 7940/8934/7228 7948/8943/7236 7947/8942/7235 7939/8933/7227 +f 7941/8935/7229 7949/8944/7237 7948/8943/7236 7940/8934/7228 +f 7942/8936/7230 7950/8945/7238 7949/8944/7237 7941/8935/7229 +f 7943/8937/7231 7951/8946/7239 7950/8945/7238 7942/8936/7230 +f 7944/8930/7225 7952/8939/7233 7951/8946/7239 7943/8937/7231 +f 7945/8938/7232 7953/8947/7240 7960/8948/7241 7952/8939/7233 +f 7946/8940/7234 7954/8949/7242 7953/8950/7240 7945/8941/7232 +f 7947/8942/7235 7955/8951/7243 7954/8949/7242 7946/8940/7234 +f 7948/8943/7236 7956/8952/7244 7955/8951/7243 7947/8942/7235 +f 7949/8944/7237 7957/8953/7245 7956/8952/7244 7948/8943/7236 +f 7950/8945/7238 7958/8954/7246 7957/8953/7245 7949/8944/7237 +f 7951/8946/7239 7959/8955/7247 7958/8954/7246 7950/8945/7238 +f 7952/8939/7233 7960/8948/7241 7959/8955/7247 7951/8946/7239 +f 7953/8947/7240 7961/8956/7224 7968/8957/7248 7960/8948/7241 +f 7954/8949/7242 7962/8958/7226 7961/8959/7224 7953/8950/7240 +f 7955/8951/7243 7963/8960/7227 7962/8958/7226 7954/8949/7242 +f 7956/8952/7244 7964/8961/7228 7963/8960/7227 7955/8951/7243 +f 7957/8953/7245 7965/8962/7229 7964/8961/7228 7956/8952/7244 +f 7958/8954/7246 7966/8963/7230 7965/8962/7229 7957/8953/7245 +f 7959/8955/7247 7967/8964/7249 7966/8963/7230 7958/8954/7246 +f 7960/8948/7241 7968/8957/7248 7967/8964/7249 7959/8955/7247 +f 7961/8956/7224 7969/8965/7232 7976/8966/7233 7968/8957/7248 +f 7962/8958/7226 7970/8967/7250 7969/8968/7232 7961/8959/7224 +f 7963/8960/7227 7971/8969/7251 7970/8967/7250 7962/8958/7226 +f 7964/8961/7228 7972/8970/7236 7971/8969/7251 7963/8960/7227 +f 7965/8962/7229 7973/8971/7237 7972/8970/7236 7964/8961/7228 +f 7966/8963/7230 7974/8972/7238 7973/8971/7237 7965/8962/7229 +f 7967/8964/7249 7975/8973/7252 7974/8972/7238 7966/8963/7230 +f 7968/8957/7248 7976/8966/7233 7975/8973/7252 7967/8964/7249 +f 7969/8965/7232 7977/8974/7253 7984/8975/7254 7976/8966/7233 +f 7970/8967/7250 7978/8976/7255 7977/8977/7253 7969/8968/7232 +f 7971/8969/7251 7979/8978/7256 7978/8976/7255 7970/8967/7250 +f 7972/8970/7236 7980/8979/7257 7979/8978/7256 7971/8969/7251 +f 7973/8971/7237 7981/8980/7258 7980/8979/7257 7972/8970/7236 +f 7974/8972/7238 7982/8981/7246 7981/8980/7258 7973/8971/7237 +f 7975/8973/7252 7983/8982/7259 7982/8981/7246 7974/8972/7238 +f 7976/8966/7233 7984/8975/7254 7983/8982/7259 7975/8973/7252 +f 7985/8983/7260 7993/8984/7260 8000/8985/7261 7992/8986/7261 +f 7986/8987/7262 7994/8988/7262 7993/8989/7260 7985/8990/7260 +f 7987/8991/7263 7995/8992/7264 7994/8988/7262 7986/8987/7262 +f 7988/8993/7265 7996/8994/7265 7995/8992/7264 7987/8991/7263 +f 7989/8995/7266 7997/8996/7266 7996/8994/7265 7988/8993/7265 +f 7990/8997/7267 7998/8998/7267 7997/8996/7266 7989/8995/7266 +f 7991/8999/7268 7999/9000/7268 7998/8998/7267 7990/8997/7267 +f 7992/8986/7261 8000/8985/7261 7999/9000/7268 7991/8999/7268 +f 7993/8984/7260 8001/9001/7269 8008/9002/7270 8000/8985/7261 +f 7994/8988/7262 8002/9003/7271 8001/9004/7269 7993/8989/7260 +f 7995/8992/7264 8003/9005/7272 8002/9003/7271 7994/8988/7262 +f 7996/8994/7265 8004/9006/7273 8003/9005/7272 7995/8992/7264 +f 7997/8996/7266 8005/9007/7274 8004/9006/7273 7996/8994/7265 +f 7998/8998/7267 8006/9008/7275 8005/9007/7274 7997/8996/7266 +f 7999/9000/7268 8007/9009/7276 8006/9008/7275 7998/8998/7267 +f 8000/8985/7261 8008/9002/7270 8007/9009/7276 7999/9000/7268 +f 8001/9001/7269 8009/9010/7277 8016/9011/7278 8008/9002/7270 +f 8002/9003/7271 8010/9012/7279 8009/9013/7277 8001/9004/7269 +f 8003/9005/7272 8011/9014/7280 8010/9012/7279 8002/9003/7271 +f 8004/9006/7273 8012/9015/7281 8011/9014/7280 8003/9005/7272 +f 8005/9007/7274 8013/9016/7282 8012/9015/7281 8004/9006/7273 +f 8006/9008/7275 8014/9017/7283 8013/9016/7282 8005/9007/7274 +f 8007/9009/7276 8015/9018/7284 8014/9017/7283 8006/9008/7275 +f 8008/9002/7270 8016/9011/7278 8015/9018/7284 8007/9009/7276 +f 8009/9010/7277 8017/9019/7285 8024/9020/7286 8016/9011/7278 +f 8010/9012/7279 8018/9021/7287 8017/9022/7285 8009/9013/7277 +f 8011/9014/7280 8019/9023/7288 8018/9021/7287 8010/9012/7279 +f 8012/9015/7281 8020/9024/7289 8019/9023/7288 8011/9014/7280 +f 8013/9016/7282 8021/9025/7290 8020/9024/7289 8012/9015/7281 +f 8014/9017/7283 8022/9026/7291 8021/9025/7290 8013/9016/7282 +f 8015/9018/7284 8023/9027/7292 8022/9026/7291 8014/9017/7283 +f 8016/9011/7278 8024/9020/7286 8023/9027/7292 8015/9018/7284 +f 8017/9019/7285 8025/9028/7293 8032/9029/7294 8024/9020/7286 +f 8018/9021/7287 8026/9030/7295 8025/9031/7293 8017/9022/7285 +f 8019/9023/7288 8027/9032/7296 8026/9030/7295 8018/9021/7287 +f 8020/9024/7289 8028/9033/7297 8027/9032/7296 8019/9023/7288 +f 8021/9025/7290 8029/9034/7298 8028/9033/7297 8020/9024/7289 +f 8022/9026/7291 8030/9035/7299 8029/9034/7298 8021/9025/7290 +f 8023/9027/7292 8031/9036/7300 8030/9035/7299 8022/9026/7291 +f 8024/9020/7286 8032/9029/7294 8031/9036/7300 8023/9027/7292 +f 8025/9028/7293 8033/9037/7301 8040/9038/7302 8032/9029/7294 +f 8026/9030/7295 8034/9039/7303 8033/9040/7301 8025/9031/7293 +f 8027/9032/7296 8035/9041/7304 8034/9039/7303 8026/9030/7295 +f 8028/9033/7297 8036/9042/7305 8035/9041/7304 8027/9032/7296 +f 8029/9034/7298 8037/9043/7306 8036/9042/7305 8028/9033/7297 +f 8030/9035/7299 8038/9044/7307 8037/9043/7306 8029/9034/7298 +f 8031/9036/7300 8039/9045/7308 8038/9044/7307 8030/9035/7299 +f 8032/9029/7294 8040/9038/7302 8039/9045/7308 8031/9036/7300 +f 8033/9037/7301 8041/9046/7309 8048/9047/7310 8040/9038/7302 +f 8034/9039/7303 8042/9048/7311 8041/9049/7309 8033/9040/7301 +f 8035/9041/7304 8043/9050/7312 8042/9048/7311 8034/9039/7303 +f 8036/9042/7305 8044/9051/7313 8043/9050/7312 8035/9041/7304 +f 8037/9043/7306 8045/9052/7314 8044/9051/7313 8036/9042/7305 +f 8038/9044/7307 8046/9053/7315 8045/9052/7314 8037/9043/7306 +f 8039/9045/7308 8047/9054/7316 8046/9053/7315 8038/9044/7307 +f 8040/9038/7302 8048/9047/7310 8047/9054/7316 8039/9045/7308 +f 8041/9046/7309 8049/9055/7317 8056/9056/7318 8048/9047/7310 +f 8042/9048/7311 8050/9057/7319 8049/9058/7317 8041/9049/7309 +f 8043/9050/7312 8051/9059/7320 8050/9057/7319 8042/9048/7311 +f 8044/9051/7313 8052/9060/7321 8051/9059/7320 8043/9050/7312 +f 8045/9052/7314 8053/9061/7322 8052/9060/7321 8044/9051/7313 +f 8046/9053/7315 8054/9062/7323 8053/9061/7322 8045/9052/7314 +f 8047/9054/7316 8055/9063/7324 8054/9062/7323 8046/9053/7315 +f 8048/9047/7310 8056/9056/7318 8055/9063/7324 8047/9054/7316 +f 8049/9055/7317 8057/9064/7325 8064/9065/7326 8056/9056/7318 +f 8050/9057/7319 8058/9066/7327 8057/9067/7325 8049/9058/7317 +f 8051/9059/7320 8059/9068/7328 8058/9066/7327 8050/9057/7319 +f 8052/9060/7321 8060/9069/7329 8059/9068/7328 8051/9059/7320 +f 8053/9061/7322 8061/9070/7330 8060/9069/7329 8052/9060/7321 +f 8054/9062/7323 8062/9071/7331 8061/9070/7330 8053/9061/7322 +f 8055/9063/7324 8063/9072/7332 8062/9071/7331 8054/9062/7323 +f 8056/9056/7318 8064/9065/7326 8063/9072/7332 8055/9063/7324 +f 8065/9073/7333 8073/9074/7334 8080/9075/7335 8072/9076/7335 +f 8066/9077/7336 8074/9078/7337 8073/9079/7334 8065/9080/7333 +f 8067/9081/7338 8075/9082/7338 8074/9078/7337 8066/9077/7336 +f 8068/9083/7339 8076/9084/7339 8075/9082/7338 8067/9081/7338 +f 8069/9085/7340 8077/9086/7340 8076/9084/7339 8068/9083/7339 +f 8070/9087/7341 8078/9088/7341 8077/9086/7340 8069/9085/7340 +f 8071/9089/7342 8079/9090/7342 8078/9088/7341 8070/9087/7341 +f 8072/9076/7335 8080/9075/7335 8079/9090/7342 8071/9089/7342 +f 8073/9074/7334 8081/9091/7343 8088/9092/7344 8080/9075/7335 +f 8074/9078/7337 8082/9093/7345 8081/9094/7343 8073/9079/7334 +f 8075/9082/7338 8083/9095/7346 8082/9093/7345 8074/9078/7337 +f 8076/9084/7339 8084/9096/7347 8083/9095/7346 8075/9082/7338 +f 8077/9086/7340 8085/9097/7348 8084/9096/7347 8076/9084/7339 +f 8078/9088/7341 8086/9098/7349 8085/9097/7348 8077/9086/7340 +f 8079/9090/7342 8087/9099/7350 8086/9098/7349 8078/9088/7341 +f 8080/9075/7335 8088/9092/7344 8087/9099/7350 8079/9090/7342 +f 8081/9091/7343 8089/9100/7351 8096/9101/7352 8088/9092/7344 +f 8082/9093/7345 8090/9102/7353 8089/9103/7351 8081/9094/7343 +f 8083/9095/7346 8091/9104/7354 8090/9102/7353 8082/9093/7345 +f 8084/9096/7347 8092/9105/7355 8091/9104/7354 8083/9095/7346 +f 8085/9097/7348 8093/9106/7356 8092/9105/7355 8084/9096/7347 +f 8086/9098/7349 8094/9107/7357 8093/9106/7356 8085/9097/7348 +f 8087/9099/7350 8095/9108/7358 8094/9107/7357 8086/9098/7349 +f 8088/9092/7344 8096/9101/7352 8095/9108/7358 8087/9099/7350 +f 8089/9100/7351 8097/9109/7359 8104/9110/7360 8096/9101/7352 +f 8090/9102/7353 8098/9111/7361 8097/9112/7359 8089/9103/7351 +f 8091/9104/7354 8099/9113/7362 8098/9111/7361 8090/9102/7353 +f 8092/9105/7355 8100/9114/7363 8099/9113/7362 8091/9104/7354 +f 8093/9106/7356 8101/9115/7364 8100/9114/7363 8092/9105/7355 +f 8094/9107/7357 8102/9116/7365 8101/9115/7364 8093/9106/7356 +f 8095/9108/7358 8103/9117/7366 8102/9116/7365 8094/9107/7357 +f 8096/9101/7352 8104/9110/7360 8103/9117/7366 8095/9108/7358 +f 8097/9109/7359 8105/9118/7367 8112/9119/7368 8104/9110/7360 +f 8098/9111/7361 8106/9120/7369 8105/9121/7367 8097/9112/7359 +f 8099/9113/7362 8107/9122/7370 8106/9120/7369 8098/9111/7361 +f 8100/9114/7363 8108/9123/7371 8107/9122/7370 8099/9113/7362 +f 8101/9115/7364 8109/9124/7372 8108/9123/7371 8100/9114/7363 +f 8102/9116/7365 8110/9125/7373 8109/9124/7372 8101/9115/7364 +f 8103/9117/7366 8111/9126/7374 8110/9125/7373 8102/9116/7365 +f 8104/9110/7360 8112/9119/7368 8111/9126/7374 8103/9117/7366 +f 8105/9118/7367 8113/9127/7375 8120/9128/7376 8112/9119/7368 +f 8106/9120/7369 8114/9129/7377 8113/9130/7375 8105/9121/7367 +f 8107/9122/7370 8115/9131/7378 8114/9129/7377 8106/9120/7369 +f 8108/9123/7371 8116/9132/7379 8115/9131/7378 8107/9122/7370 +f 8109/9124/7372 8117/9133/7380 8116/9132/7379 8108/9123/7371 +f 8110/9125/7373 8118/9134/7381 8117/9133/7380 8109/9124/7372 +f 8111/9126/7374 8119/9135/7382 8118/9134/7381 8110/9125/7373 +f 8112/9119/7368 8120/9128/7376 8119/9135/7382 8111/9126/7374 +f 8113/9127/7375 8121/9136/7383 8128/9137/7360 8120/9128/7376 +f 8114/9129/7377 8122/9138/7361 8121/9139/7383 8113/9130/7375 +f 8115/9131/7378 8123/9140/7362 8122/9138/7361 8114/9129/7377 +f 8116/9132/7379 8124/9141/7363 8123/9140/7362 8115/9131/7378 +f 8117/9133/7380 8125/9142/7364 8124/9141/7363 8116/9132/7379 +f 8118/9134/7381 8126/9143/7365 8125/9142/7364 8117/9133/7380 +f 8119/9135/7382 8127/9144/7384 8126/9143/7365 8118/9134/7381 +f 8120/9128/7376 8128/9137/7360 8127/9144/7384 8119/9135/7382 +f 8121/9136/7383 8129/9145/7385 8136/9146/7386 8128/9137/7360 +f 8122/9138/7361 8130/9147/7387 8129/9148/7385 8121/9139/7383 +f 8123/9140/7362 8131/9149/7388 8130/9147/7387 8122/9138/7361 +f 8124/9141/7363 8132/9150/7389 8131/9149/7388 8123/9140/7362 +f 8125/9142/7364 8133/9151/7390 8132/9150/7389 8124/9141/7363 +f 8126/9143/7365 8134/9152/7373 8133/9151/7390 8125/9142/7364 +f 8127/9144/7384 8135/9153/7391 8134/9152/7373 8126/9143/7365 +f 8128/9137/7360 8136/9146/7386 8135/9153/7391 8127/9144/7384 +f 8129/9145/7385 8137/9154/7392 8144/9155/7393 8136/9146/7386 +f 8130/9147/7387 8138/9156/7394 8137/9157/7392 8129/9148/7385 +f 8131/9149/7388 8139/9158/7395 8138/9156/7394 8130/9147/7387 +f 8132/9150/7389 8140/9159/7379 8139/9158/7395 8131/9149/7388 +f 8133/9151/7390 8141/9160/7396 8140/9159/7379 8132/9150/7389 +f 8134/9152/7373 8142/9161/7397 8141/9160/7396 8133/9151/7390 +f 8135/9153/7391 8143/9162/7398 8142/9161/7397 8134/9152/7373 +f 8136/9146/7386 8144/9155/7393 8143/9162/7398 8135/9153/7391 +f 8145/9163/7399 8153/9164/7399 8160/9165/7400 8152/9166/7400 +f 8146/9167/7401 8154/9168/7401 8153/9169/7399 8145/9170/7399 +f 8147/9171/7402 8155/9172/7403 8154/9168/7401 8146/9167/7401 +f 8148/9173/7404 8156/9174/7404 8155/9172/7403 8147/9171/7402 +f 8149/9175/7405 8157/9176/7406 8156/9174/7404 8148/9173/7404 +f 8150/9177/7407 8158/9178/7407 8157/9176/7406 8149/9175/7405 +f 8151/9179/7408 8159/9180/7409 8158/9178/7407 8150/9177/7407 +f 8152/9166/7400 8160/9165/7400 8159/9180/7409 8151/9179/7408 +f 8153/9164/7399 8161/9181/7410 8168/9182/7411 8160/9165/7400 +f 8154/9168/7401 8162/9183/7412 8161/9184/7410 8153/9169/7399 +f 8155/9172/7403 8163/9185/7413 8162/9183/7412 8154/9168/7401 +f 8156/9174/7404 8164/9186/7414 8163/9185/7413 8155/9172/7403 +f 8157/9176/7406 8165/9187/7415 8164/9186/7414 8156/9174/7404 +f 8158/9178/7407 8166/9188/7416 8165/9187/7415 8157/9176/7406 +f 8159/9180/7409 8167/9189/7417 8166/9188/7416 8158/9178/7407 +f 8160/9165/7400 8168/9182/7411 8167/9189/7417 8159/9180/7409 +f 8161/9181/7410 8169/9190/7418 8176/9191/7419 8168/9182/7411 +f 8162/9183/7412 8170/9192/7420 8169/9193/7418 8161/9184/7410 +f 8163/9185/7413 8171/9194/7421 8170/9192/7420 8162/9183/7412 +f 8164/9186/7414 8172/9195/7422 8171/9194/7421 8163/9185/7413 +f 8165/9187/7415 8173/9196/7423 8172/9195/7422 8164/9186/7414 +f 8166/9188/7416 8174/9197/7424 8173/9196/7423 8165/9187/7415 +f 8167/9189/7417 8175/9198/7425 8174/9197/7424 8166/9188/7416 +f 8168/9182/7411 8176/9191/7419 8175/9198/7425 8167/9189/7417 +f 8169/9190/7418 8177/9199/7426 8184/9200/7427 8176/9191/7419 +f 8170/9192/7420 8178/9201/7428 8177/9202/7426 8169/9193/7418 +f 8171/9194/7421 8179/9203/7429 8178/9201/7428 8170/9192/7420 +f 8172/9195/7422 8180/9204/7430 8179/9203/7429 8171/9194/7421 +f 8173/9196/7423 8181/9205/7431 8180/9204/7430 8172/9195/7422 +f 8174/9197/7424 8182/9206/7432 8181/9205/7431 8173/9196/7423 +f 8175/9198/7425 8183/9207/7433 8182/9206/7432 8174/9197/7424 +f 8176/9191/7419 8184/9200/7427 8183/9207/7433 8175/9198/7425 +f 8177/9199/7426 8185/9208/7434 8192/9209/7435 8184/9200/7427 +f 8178/9201/7428 8186/9210/7436 8185/9211/7434 8177/9202/7426 +f 8179/9203/7429 8187/9212/7437 8186/9210/7436 8178/9201/7428 +f 8180/9204/7430 8188/9213/7438 8187/9212/7437 8179/9203/7429 +f 8181/9205/7431 8189/9214/7439 8188/9213/7438 8180/9204/7430 +f 8182/9206/7432 8190/9215/7440 8189/9214/7439 8181/9205/7431 +f 8183/9207/7433 8191/9216/7441 8190/9215/7440 8182/9206/7432 +f 8184/9200/7427 8192/9209/7435 8191/9216/7441 8183/9207/7433 +f 8185/9208/7434 8193/9217/7442 8200/9218/7443 8192/9209/7435 +f 8186/9210/7436 8194/9219/7444 8193/9220/7442 8185/9211/7434 +f 8187/9212/7437 8195/9221/7445 8194/9219/7444 8186/9210/7436 +f 8188/9213/7438 8196/9222/7446 8195/9221/7445 8187/9212/7437 +f 8189/9214/7439 8197/9223/7447 8196/9222/7446 8188/9213/7438 +f 8190/9215/7440 8198/9224/7448 8197/9223/7447 8189/9214/7439 +f 8191/9216/7441 8199/9225/7449 8198/9224/7448 8190/9215/7440 +f 8192/9209/7435 8200/9218/7443 8199/9225/7449 8191/9216/7441 +f 8193/9217/7442 8201/9226/7450 8208/9227/7427 8200/9218/7443 +f 8194/9219/7444 8202/9228/7451 8201/9229/7450 8193/9220/7442 +f 8195/9221/7445 8203/9230/7452 8202/9228/7451 8194/9219/7444 +f 8196/9222/7446 8204/9231/7430 8203/9230/7452 8195/9221/7445 +f 8197/9223/7447 8205/9232/7431 8204/9231/7430 8196/9222/7446 +f 8198/9224/7448 8206/9233/7432 8205/9232/7431 8197/9223/7447 +f 8199/9225/7449 8207/9234/7433 8206/9233/7432 8198/9224/7448 +f 8200/9218/7443 8208/9227/7427 8207/9234/7433 8199/9225/7449 +f 8201/9226/7450 8209/9235/7453 8216/9236/7435 8208/9227/7427 +f 8202/9228/7451 8210/9237/7454 8209/9238/7453 8201/9229/7450 +f 8203/9230/7452 8211/9239/7455 8210/9237/7454 8202/9228/7451 +f 8204/9231/7430 8212/9240/7456 8211/9239/7455 8203/9230/7452 +f 8205/9232/7431 8213/9241/7457 8212/9240/7456 8204/9231/7430 +f 8206/9233/7432 8214/9242/7440 8213/9241/7457 8205/9232/7431 +f 8207/9234/7433 8215/9243/7458 8214/9242/7440 8206/9233/7432 +f 8208/9227/7427 8216/9236/7435 8215/9243/7458 8207/9234/7433 +f 8209/9235/7453 8217/9244/7459 8224/9245/7443 8216/9236/7435 +f 8210/9237/7454 8218/9246/7444 8217/9247/7459 8209/9238/7453 +f 8211/9239/7455 8219/9248/7460 8218/9246/7444 8210/9237/7454 +f 8212/9240/7456 8220/9249/7446 8219/9248/7460 8211/9239/7455 +f 8213/9241/7457 8221/9250/7461 8220/9249/7446 8212/9240/7456 +f 8214/9242/7440 8222/9251/7448 8221/9250/7461 8213/9241/7457 +f 8215/9243/7458 8223/9252/7462 8222/9251/7448 8214/9242/7440 +f 8216/9236/7435 8224/9245/7443 8223/9252/7462 8215/9243/7458 +f 8225/9253/7463 8233/9254/7463 8240/9255/7464 8232/9256/7465 +f 8226/9257/7466 8234/9258/7466 8233/9259/7463 8225/9260/7463 +f 8227/9261/7467 8235/9262/7467 8234/9258/7466 8226/9257/7466 +f 8228/9263/7468 8236/9264/7469 8235/9262/7467 8227/9261/7467 +f 8229/9265/7470 8237/9266/7470 8236/9264/7469 8228/9263/7468 +f 8230/9267/7471 8238/9268/7471 8237/9266/7470 8229/9265/7470 +f 8231/9269/7472 8239/9270/7472 8238/9268/7471 8230/9267/7471 +f 8232/9256/7465 8240/9255/7464 8239/9270/7472 8231/9269/7472 +f 8233/9254/7463 8241/9271/7473 8248/9272/7474 8240/9255/7464 +f 8234/9258/7466 8242/9273/7475 8241/9274/7473 8233/9259/7463 +f 8235/9262/7467 8243/9275/7476 8242/9273/7475 8234/9258/7466 +f 8236/9264/7469 8244/9276/7477 8243/9275/7476 8235/9262/7467 +f 8237/9266/7470 8245/9277/7478 8244/9276/7477 8236/9264/7469 +f 8238/9268/7471 8246/9278/7479 8245/9277/7478 8237/9266/7470 +f 8239/9270/7472 8247/9279/7480 8246/9278/7479 8238/9268/7471 +f 8240/9255/7464 8248/9272/7474 8247/9279/7480 8239/9270/7472 +f 8241/9271/7473 8249/9280/7481 8256/9281/7482 8248/9272/7474 +f 8242/9273/7475 8250/9282/7483 8249/9283/7481 8241/9274/7473 +f 8243/9275/7476 8251/9284/7484 8250/9282/7483 8242/9273/7475 +f 8244/9276/7477 8252/9285/7485 8251/9284/7484 8243/9275/7476 +f 8245/9277/7478 8253/9286/7486 8252/9285/7485 8244/9276/7477 +f 8246/9278/7479 8254/9287/7487 8253/9286/7486 8245/9277/7478 +f 8247/9279/7480 8255/9288/7488 8254/9287/7487 8246/9278/7479 +f 8248/9272/7474 8256/9281/7482 8255/9288/7488 8247/9279/7480 +f 8249/9280/7481 8257/9289/7489 8264/9290/7490 8256/9281/7482 +f 8250/9282/7483 8258/9291/7491 8257/9292/7489 8249/9283/7481 +f 8251/9284/7484 8259/9293/7492 8258/9291/7491 8250/9282/7483 +f 8252/9285/7485 8260/9294/7493 8259/9293/7492 8251/9284/7484 +f 8253/9286/7486 8261/9295/7494 8260/9294/7493 8252/9285/7485 +f 8254/9287/7487 8262/9296/7495 8261/9295/7494 8253/9286/7486 +f 8255/9288/7488 8263/9297/7496 8262/9296/7495 8254/9287/7487 +f 8256/9281/7482 8264/9290/7490 8263/9297/7496 8255/9288/7488 +f 8257/9289/7489 8265/9298/7497 8272/9299/7498 8264/9290/7490 +f 8258/9291/7491 8266/9300/7499 8265/9301/7497 8257/9292/7489 +f 8259/9293/7492 8267/9302/7500 8266/9300/7499 8258/9291/7491 +f 8260/9294/7493 8268/9303/7501 8267/9302/7500 8259/9293/7492 +f 8261/9295/7494 8269/9304/7502 8268/9303/7501 8260/9294/7493 +f 8262/9296/7495 8270/9305/7503 8269/9304/7502 8261/9295/7494 +f 8263/9297/7496 8271/9306/7504 8270/9305/7503 8262/9296/7495 +f 8264/9290/7490 8272/9299/7498 8271/9306/7504 8263/9297/7496 +f 8265/9298/7497 8273/9307/7505 8280/9308/7506 8272/9299/7498 +f 8266/9300/7499 8274/9309/7507 8273/9310/7505 8265/9301/7497 +f 8267/9302/7500 8275/9311/7508 8274/9309/7507 8266/9300/7499 +f 8268/9303/7501 8276/9312/7509 8275/9311/7508 8267/9302/7500 +f 8269/9304/7502 8277/9313/7510 8276/9312/7509 8268/9303/7501 +f 8270/9305/7503 8278/9314/7511 8277/9313/7510 8269/9304/7502 +f 8271/9306/7504 8279/9315/7512 8278/9314/7511 8270/9305/7503 +f 8272/9299/7498 8280/9308/7506 8279/9315/7512 8271/9306/7504 +f 8273/9307/7505 8281/9316/7513 8288/9317/7514 8280/9308/7506 +f 8274/9309/7507 8282/9318/7515 8281/9319/7513 8273/9310/7505 +f 8275/9311/7508 8283/9320/7516 8282/9318/7515 8274/9309/7507 +f 8276/9312/7509 8284/9321/7493 8283/9320/7516 8275/9311/7508 +f 8277/9313/7510 8285/9322/7517 8284/9321/7493 8276/9312/7509 +f 8278/9314/7511 8286/9323/7495 8285/9322/7517 8277/9313/7510 +f 8279/9315/7512 8287/9324/7518 8286/9323/7495 8278/9314/7511 +f 8280/9308/7506 8288/9317/7514 8287/9324/7518 8279/9315/7512 +f 8281/9316/7513 8289/9325/7519 8296/9326/7520 8288/9317/7514 +f 8282/9318/7515 8290/9327/7521 8289/9328/7519 8281/9319/7513 +f 8283/9320/7516 8291/9329/7522 8290/9327/7521 8282/9318/7515 +f 8284/9321/7493 8292/9330/7501 8291/9329/7522 8283/9320/7516 +f 8285/9322/7517 8293/9331/7523 8292/9330/7501 8284/9321/7493 +f 8286/9323/7495 8294/9332/7503 8293/9331/7523 8285/9322/7517 +f 8287/9324/7518 8295/9333/7524 8294/9332/7503 8286/9323/7495 +f 8288/9317/7514 8296/9326/7520 8295/9333/7524 8287/9324/7518 +f 8289/9325/7519 8297/9334/7505 8304/9335/7525 8296/9326/7520 +f 8290/9327/7521 8298/9336/7526 8297/9337/7505 8289/9328/7519 +f 8291/9329/7522 8299/9338/7527 8298/9336/7526 8290/9327/7521 +f 8292/9330/7501 8300/9339/7528 8299/9338/7527 8291/9329/7522 +f 8293/9331/7523 8301/9340/7529 8300/9339/7528 8292/9330/7501 +f 8294/9332/7503 8302/9341/7511 8301/9340/7529 8293/9331/7523 +f 8295/9333/7524 8303/9342/7530 8302/9341/7511 8294/9332/7503 +f 8296/9326/7520 8304/9335/7525 8303/9342/7530 8295/9333/7524 +f 8305/9343/7531 8313/9344/7531 8320/9345/7532 8312/9346/7532 +f 8306/9347/7533 8314/9348/7533 8313/9349/7531 8305/9350/7531 +f 8307/9351/7534 8315/9352/7534 8314/9348/7533 8306/9347/7533 +f 8308/9353/7535 8316/9354/7536 8315/9352/7534 8307/9351/7534 +f 8309/9355/7537 8317/9356/7537 8316/9354/7536 8308/9353/7535 +f 8310/9357/7538 8318/9358/7538 8317/9356/7537 8309/9355/7537 +f 8311/9359/7539 8319/9360/7540 8318/9358/7538 8310/9357/7538 +f 8312/9346/7532 8320/9345/7532 8319/9360/7540 8311/9359/7539 +f 8313/9344/7531 8321/9361/7541 8328/9362/7542 8320/9345/7532 +f 8314/9348/7533 8322/9363/7543 8321/9364/7541 8313/9349/7531 +f 8315/9352/7534 8323/9365/7544 8322/9363/7543 8314/9348/7533 +f 8316/9354/7536 8324/9366/7545 8323/9365/7544 8315/9352/7534 +f 8317/9356/7537 8325/9367/7546 8324/9366/7545 8316/9354/7536 +f 8318/9358/7538 8326/9368/7547 8325/9367/7546 8317/9356/7537 +f 8319/9360/7540 8327/9369/7548 8326/9368/7547 8318/9358/7538 +f 8320/9345/7532 8328/9362/7542 8327/9369/7548 8319/9360/7540 +f 8321/9361/7541 8329/9370/7549 8336/9371/7550 8328/9362/7542 +f 8322/9363/7543 8330/9372/7551 8329/9373/7549 8321/9364/7541 +f 8323/9365/7544 8331/9374/7552 8330/9372/7551 8322/9363/7543 +f 8324/9366/7545 8332/9375/7553 8331/9374/7552 8323/9365/7544 +f 8325/9367/7546 8333/9376/7554 8332/9375/7553 8324/9366/7545 +f 8326/9368/7547 8334/9377/7555 8333/9376/7554 8325/9367/7546 +f 8327/9369/7548 8335/9378/7556 8334/9377/7555 8326/9368/7547 +f 8328/9362/7542 8336/9371/7550 8335/9378/7556 8327/9369/7548 +f 8329/9370/7549 8337/9379/7557 8344/9380/7558 8336/9371/7550 +f 8330/9372/7551 8338/9381/7559 8337/9382/7557 8329/9373/7549 +f 8331/9374/7552 8339/9383/7560 8338/9381/7559 8330/9372/7551 +f 8332/9375/7553 8340/9384/7561 8339/9383/7560 8331/9374/7552 +f 8333/9376/7554 8341/9385/7562 8340/9384/7561 8332/9375/7553 +f 8334/9377/7555 8342/9386/7563 8341/9385/7562 8333/9376/7554 +f 8335/9378/7556 8343/9387/7564 8342/9386/7563 8334/9377/7555 +f 8336/9371/7550 8344/9380/7558 8343/9387/7564 8335/9378/7556 +f 8337/9379/7557 8345/9388/7565 8352/9389/7566 8344/9380/7558 +f 8338/9381/7559 8346/9390/7567 8345/9391/7565 8337/9382/7557 +f 8339/9383/7560 8347/9392/7568 8346/9390/7567 8338/9381/7559 +f 8340/9384/7561 8348/9393/7569 8347/9392/7568 8339/9383/7560 +f 8341/9385/7562 8349/9394/7570 8348/9393/7569 8340/9384/7561 +f 8342/9386/7563 8350/9395/7571 8349/9394/7570 8341/9385/7562 +f 8343/9387/7564 8351/9396/7572 8350/9395/7571 8342/9386/7563 +f 8344/9380/7558 8352/9389/7566 8351/9396/7572 8343/9387/7564 +f 8345/9388/7565 8353/9397/7573 8360/9398/7574 8352/9389/7566 +f 8346/9390/7567 8354/9399/7575 8353/9400/7573 8345/9391/7565 +f 8347/9392/7568 8355/9401/7576 8354/9399/7575 8346/9390/7567 +f 8348/9393/7569 8356/9402/7577 8355/9401/7576 8347/9392/7568 +f 8349/9394/7570 8357/9403/7578 8356/9402/7577 8348/9393/7569 +f 8350/9395/7571 8358/9404/7579 8357/9403/7578 8349/9394/7570 +f 8351/9396/7572 8359/9405/7580 8358/9404/7579 8350/9395/7571 +f 8352/9389/7566 8360/9398/7574 8359/9405/7580 8351/9396/7572 +f 8353/9397/7573 8361/9406/7557 8368/9407/7581 8360/9398/7574 +f 8354/9399/7575 8362/9408/7582 8361/9409/7557 8353/9400/7573 +f 8355/9401/7576 8363/9410/7583 8362/9408/7582 8354/9399/7575 +f 8356/9402/7577 8364/9411/7584 8363/9410/7583 8355/9401/7576 +f 8357/9403/7578 8365/9412/7562 8364/9411/7584 8356/9402/7577 +f 8358/9404/7579 8366/9413/7563 8365/9412/7562 8357/9403/7578 +f 8359/9405/7580 8367/9414/7585 8366/9413/7563 8358/9404/7579 +f 8360/9398/7574 8368/9407/7581 8367/9414/7585 8359/9405/7580 +f 8361/9406/7557 8369/9415/7586 8376/9416/7587 8368/9407/7581 +f 8362/9408/7582 8370/9417/7567 8369/9418/7586 8361/9409/7557 +f 8363/9410/7583 8371/9419/7588 8370/9417/7567 8362/9408/7582 +f 8364/9411/7584 8372/9420/7589 8371/9419/7588 8363/9410/7583 +f 8365/9412/7562 8373/9421/7570 8372/9420/7589 8364/9411/7584 +f 8366/9413/7563 8374/9422/7571 8373/9421/7570 8365/9412/7562 +f 8367/9414/7585 8375/9423/7572 8374/9422/7571 8366/9413/7563 +f 8368/9407/7581 8376/9416/7587 8375/9423/7572 8367/9414/7585 +f 8369/9415/7586 8377/9424/7590 8384/9425/7591 8376/9416/7587 +f 8370/9417/7567 8378/9426/7592 8377/9427/7590 8369/9418/7586 +f 8371/9419/7588 8379/9428/7593 8378/9426/7592 8370/9417/7567 +f 8372/9420/7589 8380/9429/7594 8379/9428/7593 8371/9419/7588 +f 8373/9421/7570 8381/9430/7578 8380/9429/7594 8372/9420/7589 +f 8374/9422/7571 8382/9431/7595 8381/9430/7578 8373/9421/7570 +f 8375/9423/7572 8383/9432/7580 8382/9431/7595 8374/9422/7571 +f 8376/9416/7587 8384/9425/7591 8383/9432/7580 8375/9423/7572 +f 8385/9433/7596 8393/9434/7596 8400/9435/7597 8392/9436/7597 +f 8386/9437/7598 8394/9438/7599 8393/9439/7596 8385/9440/7596 +f 8387/9441/7600 8395/9442/7601 8394/9438/7599 8386/9437/7598 +f 8388/9443/7602 8396/9444/7602 8395/9442/7601 8387/9441/7600 +f 8389/9445/7603 8397/9446/7603 8396/9444/7602 8388/9443/7602 +f 8390/9447/7604 8398/9448/7604 8397/9446/7603 8389/9445/7603 +f 8391/9449/7605 8399/9450/7605 8398/9448/7604 8390/9447/7604 +f 8392/9436/7597 8400/9435/7597 8399/9450/7605 8391/9449/7605 +f 8393/9434/7596 8401/9451/7606 8408/9452/7607 8400/9435/7597 +f 8394/9438/7599 8402/9453/7608 8401/9454/7606 8393/9439/7596 +f 8395/9442/7601 8403/9455/7609 8402/9453/7608 8394/9438/7599 +f 8396/9444/7602 8404/9456/7610 8403/9455/7609 8395/9442/7601 +f 8397/9446/7603 8405/9457/7611 8404/9456/7610 8396/9444/7602 +f 8398/9448/7604 8406/9458/7612 8405/9457/7611 8397/9446/7603 +f 8399/9450/7605 8407/9459/7613 8406/9458/7612 8398/9448/7604 +f 8400/9435/7597 8408/9452/7607 8407/9459/7613 8399/9450/7605 +f 8401/9451/7606 8409/9460/7614 8416/9461/7615 8408/9452/7607 +f 8402/9453/7608 8410/9462/7616 8409/9463/7614 8401/9454/7606 +f 8403/9455/7609 8411/9464/7617 8410/9462/7616 8402/9453/7608 +f 8404/9456/7610 8412/9465/7618 8411/9464/7617 8403/9455/7609 +f 8405/9457/7611 8413/9466/7619 8412/9465/7618 8404/9456/7610 +f 8406/9458/7612 8414/9467/7620 8413/9466/7619 8405/9457/7611 +f 8407/9459/7613 8415/9468/7621 8414/9467/7620 8406/9458/7612 +f 8408/9452/7607 8416/9461/7615 8415/9468/7621 8407/9459/7613 +f 8409/9460/7614 8417/9469/7622 8424/9470/7623 8416/9461/7615 +f 8410/9462/7616 8418/9471/7624 8417/9472/7622 8409/9463/7614 +f 8411/9464/7617 8419/9473/7625 8418/9471/7624 8410/9462/7616 +f 8412/9465/7618 8420/9474/7626 8419/9473/7625 8411/9464/7617 +f 8413/9466/7619 8421/9475/7627 8420/9474/7626 8412/9465/7618 +f 8414/9467/7620 8422/9476/7628 8421/9475/7627 8413/9466/7619 +f 8415/9468/7621 8423/9477/7629 8422/9476/7628 8414/9467/7620 +f 8416/9461/7615 8424/9470/7623 8423/9477/7629 8415/9468/7621 +f 8417/9469/7622 8425/9478/7630 8432/9479/7631 8424/9470/7623 +f 8418/9471/7624 8426/9480/7632 8425/9481/7630 8417/9472/7622 +f 8419/9473/7625 8427/9482/7633 8426/9480/7632 8418/9471/7624 +f 8420/9474/7626 8428/9483/7634 8427/9482/7633 8419/9473/7625 +f 8421/9475/7627 8429/9484/7635 8428/9483/7634 8420/9474/7626 +f 8422/9476/7628 8430/9485/7636 8429/9484/7635 8421/9475/7627 +f 8423/9477/7629 8431/9486/7637 8430/9485/7636 8422/9476/7628 +f 8424/9470/7623 8432/9479/7631 8431/9486/7637 8423/9477/7629 +f 8425/9478/7630 8433/9487/7638 8440/9488/7639 8432/9479/7631 +f 8426/9480/7632 8434/9489/7640 8433/9490/7638 8425/9481/7630 +f 8427/9482/7633 8435/9491/7641 8434/9489/7640 8426/9480/7632 +f 8428/9483/7634 8436/9492/7642 8435/9491/7641 8427/9482/7633 +f 8429/9484/7635 8437/9493/7643 8436/9492/7642 8428/9483/7634 +f 8430/9485/7636 8438/9494/7644 8437/9493/7643 8429/9484/7635 +f 8431/9486/7637 8439/9495/7645 8438/9494/7644 8430/9485/7636 +f 8432/9479/7631 8440/9488/7639 8439/9495/7645 8431/9486/7637 +f 8433/9487/7638 8441/9496/7646 8448/9497/7623 8440/9488/7639 +f 8434/9489/7640 8442/9498/7624 8441/9499/7646 8433/9490/7638 +f 8435/9491/7641 8443/9500/7625 8442/9498/7624 8434/9489/7640 +f 8436/9492/7642 8444/9501/7647 8443/9500/7625 8435/9491/7641 +f 8437/9493/7643 8445/9502/7627 8444/9501/7647 8436/9492/7642 +f 8438/9494/7644 8446/9503/7648 8445/9502/7627 8437/9493/7643 +f 8439/9495/7645 8447/9504/7629 8446/9503/7648 8438/9494/7644 +f 8440/9488/7639 8448/9497/7623 8447/9504/7629 8439/9495/7645 +f 8441/9496/7646 8449/9505/7649 8456/9506/7650 8448/9497/7623 +f 8442/9498/7624 8450/9507/7651 8449/9508/7649 8441/9499/7646 +f 8443/9500/7625 8451/9509/7652 8450/9507/7651 8442/9498/7624 +f 8444/9501/7647 8452/9510/7653 8451/9509/7652 8443/9500/7625 +f 8445/9502/7627 8453/9511/7654 8452/9510/7653 8444/9501/7647 +f 8446/9503/7648 8454/9512/7655 8453/9511/7654 8445/9502/7627 +f 8447/9504/7629 8455/9513/7637 8454/9512/7655 8446/9503/7648 +f 8448/9497/7623 8456/9506/7650 8455/9513/7637 8447/9504/7629 +f 8449/9505/7649 8457/9514/7656 8464/9515/7657 8456/9506/7650 +f 8450/9507/7651 8458/9516/7658 8457/9517/7656 8449/9508/7649 +f 8451/9509/7652 8459/9518/7659 8458/9516/7658 8450/9507/7651 +f 8452/9510/7653 8460/9519/7660 8459/9518/7659 8451/9509/7652 +f 8453/9511/7654 8461/9520/7661 8460/9519/7660 8452/9510/7653 +f 8454/9512/7655 8462/9521/7662 8461/9520/7661 8453/9511/7654 +f 8455/9513/7637 8463/9522/7645 8462/9521/7662 8454/9512/7655 +f 8456/9506/7650 8464/9515/7657 8463/9522/7645 8455/9513/7637 +f 8465/9523/7663 8473/9524/7663 8480/9525/7664 8472/9526/7664 +f 8466/9527/7665 8474/9528/7665 8473/9529/7663 8465/9530/7663 +f 8467/9531/7666 8475/9532/7666 8474/9528/7665 8466/9527/7665 +f 8468/9533/7667 8476/9534/7667 8475/9532/7666 8467/9531/7666 +f 8469/9535/7668 8477/9536/7668 8476/9534/7667 8468/9533/7667 +f 8470/9537/7669 8478/9538/7669 8477/9536/7668 8469/9535/7668 +f 8471/9539/7670 8479/9540/7670 8478/9538/7669 8470/9537/7669 +f 8472/9526/7664 8480/9525/7664 8479/9540/7670 8471/9539/7670 +f 8473/9524/7663 8481/9541/7671 8488/9542/7672 8480/9525/7664 +f 8474/9528/7665 8482/9543/7673 8481/9544/7671 8473/9529/7663 +f 8475/9532/7666 8483/9545/7674 8482/9543/7673 8474/9528/7665 +f 8476/9534/7667 8484/9546/7675 8483/9545/7674 8475/9532/7666 +f 8477/9536/7668 8485/9547/7676 8484/9546/7675 8476/9534/7667 +f 8478/9538/7669 8486/9548/7677 8485/9547/7676 8477/9536/7668 +f 8479/9540/7670 8487/9549/7678 8486/9548/7677 8478/9538/7669 +f 8480/9525/7664 8488/9542/7672 8487/9549/7678 8479/9540/7670 +f 8481/9541/7671 8489/9550/7679 8496/9551/7680 8488/9542/7672 +f 8482/9543/7673 8490/9552/7681 8489/9553/7679 8481/9544/7671 +f 8483/9545/7674 8491/9554/7682 8490/9552/7681 8482/9543/7673 +f 8484/9546/7675 8492/9555/7683 8491/9554/7682 8483/9545/7674 +f 8485/9547/7676 8493/9556/7684 8492/9555/7683 8484/9546/7675 +f 8486/9548/7677 8494/9557/7685 8493/9556/7684 8485/9547/7676 +f 8487/9549/7678 8495/9558/7686 8494/9557/7685 8486/9548/7677 +f 8488/9542/7672 8496/9551/7680 8495/9558/7686 8487/9549/7678 +f 8489/9550/7679 8497/9559/7687 8504/9560/7688 8496/9551/7680 +f 8490/9552/7681 8498/9561/7689 8497/9562/7687 8489/9553/7679 +f 8491/9554/7682 8499/9563/7690 8498/9561/7689 8490/9552/7681 +f 8492/9555/7683 8500/9564/7691 8499/9563/7690 8491/9554/7682 +f 8493/9556/7684 8501/9565/7692 8500/9564/7691 8492/9555/7683 +f 8494/9557/7685 8502/9566/7693 8501/9565/7692 8493/9556/7684 +f 8495/9558/7686 8503/9567/7694 8502/9566/7693 8494/9557/7685 +f 8496/9551/7680 8504/9560/7688 8503/9567/7694 8495/9558/7686 +f 8497/9559/7687 8505/9568/7695 8512/9569/7696 8504/9560/7688 +f 8498/9561/7689 8506/9570/7697 8505/9571/7695 8497/9562/7687 +f 8499/9563/7690 8507/9572/7698 8506/9570/7697 8498/9561/7689 +f 8500/9564/7691 8508/9573/7699 8507/9572/7698 8499/9563/7690 +f 8501/9565/7692 8509/9574/7700 8508/9573/7699 8500/9564/7691 +f 8502/9566/7693 8510/9575/7701 8509/9574/7700 8501/9565/7692 +f 8503/9567/7694 8511/9576/7702 8510/9575/7701 8502/9566/7693 +f 8504/9560/7688 8512/9569/7696 8511/9576/7702 8503/9567/7694 +f 8505/9568/7695 8513/9577/7703 8520/9578/7704 8512/9569/7696 +f 8506/9570/7697 8514/9579/7705 8513/9580/7703 8505/9571/7695 +f 8507/9572/7698 8515/9581/7706 8514/9579/7705 8506/9570/7697 +f 8508/9573/7699 8516/9582/7707 8515/9581/7706 8507/9572/7698 +f 8509/9574/7700 8517/9583/7708 8516/9582/7707 8508/9573/7699 +f 8510/9575/7701 8518/9584/7709 8517/9583/7708 8509/9574/7700 +f 8511/9576/7702 8519/9585/7710 8518/9584/7709 8510/9575/7701 +f 8512/9569/7696 8520/9578/7704 8519/9585/7710 8511/9576/7702 +f 8513/9577/7703 8521/9586/7711 8528/9587/7688 8520/9578/7704 +f 8514/9579/7705 8522/9588/7712 8521/9589/7711 8513/9580/7703 +f 8515/9581/7706 8523/9590/7690 8522/9588/7712 8514/9579/7705 +f 8516/9582/7707 8524/9591/7691 8523/9590/7690 8515/9581/7706 +f 8517/9583/7708 8525/9592/7713 8524/9591/7691 8516/9582/7707 +f 8518/9584/7709 8526/9593/7714 8525/9592/7713 8517/9583/7708 +f 8519/9585/7710 8527/9594/7694 8526/9593/7714 8518/9584/7709 +f 8520/9578/7704 8528/9587/7688 8527/9594/7694 8519/9585/7710 +f 8521/9586/7711 8529/9595/7695 8536/9596/7715 8528/9587/7688 +f 8522/9588/7712 8530/9597/7716 8529/9598/7695 8521/9589/7711 +f 8523/9590/7690 8531/9599/7698 8530/9597/7716 8522/9588/7712 +f 8524/9591/7691 8532/9600/7699 8531/9599/7698 8523/9590/7690 +f 8525/9592/7713 8533/9601/7717 8532/9600/7699 8524/9591/7691 +f 8526/9593/7714 8534/9602/7718 8533/9601/7717 8525/9592/7713 +f 8527/9594/7694 8535/9603/7702 8534/9602/7718 8526/9593/7714 +f 8528/9587/7688 8536/9596/7715 8535/9603/7702 8527/9594/7694 +f 8529/9595/7695 8537/9604/7719 8544/9605/7720 8536/9596/7715 +f 8530/9597/7716 8538/9606/7721 8537/9607/7719 8529/9598/7695 +f 8531/9599/7698 8539/9608/7722 8538/9606/7721 8530/9597/7716 +f 8532/9600/7699 8540/9609/7723 8539/9608/7722 8531/9599/7698 +f 8533/9601/7717 8541/9610/7724 8540/9609/7723 8532/9600/7699 +f 8534/9602/7718 8542/9611/7725 8541/9610/7724 8533/9601/7717 +f 8535/9603/7702 8543/9612/7710 8542/9611/7725 8534/9602/7718 +f 8536/9596/7715 8544/9605/7720 8543/9612/7710 8535/9603/7702 +f 8545/9613/7726 8553/9614/7726 8560/9615/7727 8552/9616/7727 +f 8546/9617/7728 8554/9618/7729 8553/9619/7726 8545/9620/7726 +f 8547/9621/7730 8555/9622/7730 8554/9618/7729 8546/9617/7728 +f 8548/9623/7731 8556/9624/7731 8555/9622/7730 8547/9621/7730 +f 8549/9625/7732 8557/9626/7732 8556/9624/7731 8548/9623/7731 +f 8550/9627/7733 8558/9628/7733 8557/9626/7732 8549/9625/7732 +f 8551/9629/7734 8559/9630/7734 8558/9628/7733 8550/9627/7733 +f 8552/9616/7727 8560/9615/7727 8559/9630/7734 8551/9629/7734 +f 8553/9614/7726 8561/9631/7735 8568/9632/7736 8560/9615/7727 +f 8554/9618/7729 8562/9633/7737 8561/9634/7735 8553/9619/7726 +f 8555/9622/7730 8563/9635/7738 8562/9633/7737 8554/9618/7729 +f 8556/9624/7731 8564/9636/7739 8563/9635/7738 8555/9622/7730 +f 8557/9626/7732 8565/9637/7740 8564/9636/7739 8556/9624/7731 +f 8558/9628/7733 8566/9638/7741 8565/9637/7740 8557/9626/7732 +f 8559/9630/7734 8567/9639/7742 8566/9638/7741 8558/9628/7733 +f 8560/9615/7727 8568/9632/7736 8567/9639/7742 8559/9630/7734 +f 8561/9631/7735 8569/9640/7743 8576/9641/7744 8568/9632/7736 +f 8562/9633/7737 8570/9642/7745 8569/9643/7743 8561/9634/7735 +f 8563/9635/7738 8571/9644/7746 8570/9642/7745 8562/9633/7737 +f 8564/9636/7739 8572/9645/7747 8571/9644/7746 8563/9635/7738 +f 8565/9637/7740 8573/9646/7748 8572/9645/7747 8564/9636/7739 +f 8566/9638/7741 8574/9647/7749 8573/9646/7748 8565/9637/7740 +f 8567/9639/7742 8575/9648/7750 8574/9647/7749 8566/9638/7741 +f 8568/9632/7736 8576/9641/7744 8575/9648/7750 8567/9639/7742 +f 8569/9640/7743 8577/9649/7751 8584/9650/7752 8576/9641/7744 +f 8570/9642/7745 8578/9651/7753 8577/9652/7751 8569/9643/7743 +f 8571/9644/7746 8579/9653/7754 8578/9651/7753 8570/9642/7745 +f 8572/9645/7747 8580/9654/7755 8579/9653/7754 8571/9644/7746 +f 8573/9646/7748 8581/9655/7756 8580/9654/7755 8572/9645/7747 +f 8574/9647/7749 8582/9656/7757 8581/9655/7756 8573/9646/7748 +f 8575/9648/7750 8583/9657/7758 8582/9656/7757 8574/9647/7749 +f 8576/9641/7744 8584/9650/7752 8583/9657/7758 8575/9648/7750 +f 8577/9649/7751 8585/9658/7759 8592/9659/7760 8584/9650/7752 +f 8578/9651/7753 8586/9660/7761 8585/9661/7759 8577/9652/7751 +f 8579/9653/7754 8587/9662/7762 8586/9660/7761 8578/9651/7753 +f 8580/9654/7755 8588/9663/7763 8587/9662/7762 8579/9653/7754 +f 8581/9655/7756 8589/9664/7764 8588/9663/7763 8580/9654/7755 +f 8582/9656/7757 8590/9665/7765 8589/9664/7764 8581/9655/7756 +f 8583/9657/7758 8591/9666/7766 8590/9665/7765 8582/9656/7757 +f 8584/9650/7752 8592/9659/7760 8591/9666/7766 8583/9657/7758 +f 8585/9658/7759 8593/9667/7767 8600/9668/7768 8592/9659/7760 +f 8586/9660/7761 8594/9669/7769 8593/9670/7767 8585/9661/7759 +f 8587/9662/7762 8595/9671/7770 8594/9669/7769 8586/9660/7761 +f 8588/9663/7763 8596/9672/7771 8595/9671/7770 8587/9662/7762 +f 8589/9664/7764 8597/9673/7772 8596/9672/7771 8588/9663/7763 +f 8590/9665/7765 8598/9674/7773 8597/9673/7772 8589/9664/7764 +f 8591/9666/7766 8599/9675/7774 8598/9674/7773 8590/9665/7765 +f 8592/9659/7760 8600/9668/7768 8599/9675/7774 8591/9666/7766 +f 8593/9667/7767 8601/9676/7751 8608/9677/7775 8600/9668/7768 +f 8594/9669/7769 8602/9678/7776 8601/9679/7751 8593/9670/7767 +f 8595/9671/7770 8603/9680/7777 8602/9678/7776 8594/9669/7769 +f 8596/9672/7771 8604/9681/7778 8603/9680/7777 8595/9671/7770 +f 8597/9673/7772 8605/9682/7756 8604/9681/7778 8596/9672/7771 +f 8598/9674/7773 8606/9683/7757 8605/9682/7756 8597/9673/7772 +f 8599/9675/7774 8607/9684/7758 8606/9683/7757 8598/9674/7773 +f 8600/9668/7768 8608/9677/7775 8607/9684/7758 8599/9675/7774 +f 8601/9676/7751 8609/9685/7779 8616/9686/7780 8608/9677/7775 +f 8602/9678/7776 8610/9687/7781 8609/9688/7779 8601/9679/7751 +f 8603/9680/7777 8611/9689/7762 8610/9687/7781 8602/9678/7776 +f 8604/9681/7778 8612/9690/7782 8611/9689/7762 8603/9680/7777 +f 8605/9682/7756 8613/9691/7764 8612/9690/7782 8604/9681/7778 +f 8606/9683/7757 8614/9692/7783 8613/9691/7764 8605/9682/7756 +f 8607/9684/7758 8615/9693/7766 8614/9692/7783 8606/9683/7757 +f 8608/9677/7775 8616/9686/7780 8615/9693/7766 8607/9684/7758 +f 8609/9685/7779 8617/9694/7784 8624/9695/7785 8616/9686/7780 +f 8610/9687/7781 8618/9696/7786 8617/9697/7784 8609/9688/7779 +f 8611/9689/7762 8619/9698/7787 8618/9696/7786 8610/9687/7781 +f 8612/9690/7782 8620/9699/7771 8619/9698/7787 8611/9689/7762 +f 8613/9691/7764 8621/9700/7788 8620/9699/7771 8612/9690/7782 +f 8614/9692/7783 8622/9701/7773 8621/9700/7788 8613/9691/7764 +f 8615/9693/7766 8623/9702/7789 8622/9701/7773 8614/9692/7783 +f 8616/9686/7780 8624/9695/7785 8623/9702/7789 8615/9693/7766 +f 8625/9703/7790 8633/9704/7790 8640/9705/7791 8632/9706/7791 +f 8626/9707/7792 8634/9708/7792 8633/9709/7790 8625/9710/7790 +f 8627/9711/7793 8635/9712/7794 8634/9708/7792 8626/9707/7792 +f 8628/9713/7795 8636/9714/7795 8635/9712/7794 8627/9711/7793 +f 8629/9715/7796 8637/9716/7796 8636/9714/7795 8628/9713/7795 +f 8630/9717/7797 8638/9718/7797 8637/9716/7796 8629/9715/7796 +f 8631/9719/7798 8639/9720/7798 8638/9718/7797 8630/9717/7797 +f 8632/9706/7791 8640/9705/7791 8639/9720/7798 8631/9719/7798 +f 8633/9704/7790 8641/9721/7799 8648/9722/7800 8640/9705/7791 +f 8634/9708/7792 8642/9723/7801 8641/9724/7799 8633/9709/7790 +f 8635/9712/7794 8643/9725/7802 8642/9723/7801 8634/9708/7792 +f 8636/9714/7795 8644/9726/7803 8643/9725/7802 8635/9712/7794 +f 8637/9716/7796 8645/9727/7804 8644/9726/7803 8636/9714/7795 +f 8638/9718/7797 8646/9728/7805 8645/9727/7804 8637/9716/7796 +f 8639/9720/7798 8647/9729/7806 8646/9728/7805 8638/9718/7797 +f 8640/9705/7791 8648/9722/7800 8647/9729/7806 8639/9720/7798 +f 8641/9721/7799 8649/9730/7807 8656/9731/7808 8648/9722/7800 +f 8642/9723/7801 8650/9732/7809 8649/9733/7807 8641/9724/7799 +f 8643/9725/7802 8651/9734/7810 8650/9732/7809 8642/9723/7801 +f 8644/9726/7803 8652/9735/7811 8651/9734/7810 8643/9725/7802 +f 8645/9727/7804 8653/9736/7812 8652/9735/7811 8644/9726/7803 +f 8646/9728/7805 8654/9737/7813 8653/9736/7812 8645/9727/7804 +f 8647/9729/7806 8655/9738/7814 8654/9737/7813 8646/9728/7805 +f 8648/9722/7800 8656/9731/7808 8655/9738/7814 8647/9729/7806 +f 8649/9730/7807 8657/9739/7815 8664/9740/7816 8656/9731/7808 +f 8650/9732/7809 8658/9741/7817 8657/9742/7815 8649/9733/7807 +f 8651/9734/7810 8659/9743/7818 8658/9741/7817 8650/9732/7809 +f 8652/9735/7811 8660/9744/7819 8659/9743/7818 8651/9734/7810 +f 8653/9736/7812 8661/9745/7820 8660/9744/7819 8652/9735/7811 +f 8654/9737/7813 8662/9746/7821 8661/9745/7820 8653/9736/7812 +f 8655/9738/7814 8663/9747/7822 8662/9746/7821 8654/9737/7813 +f 8656/9731/7808 8664/9740/7816 8663/9747/7822 8655/9738/7814 +f 8657/9739/7815 8665/9748/7823 8672/9749/7824 8664/9740/7816 +f 8658/9741/7817 8666/9750/7825 8665/9751/7823 8657/9742/7815 +f 8659/9743/7818 8667/9752/7826 8666/9750/7825 8658/9741/7817 +f 8660/9744/7819 8668/9753/7827 8667/9752/7826 8659/9743/7818 +f 8661/9745/7820 8669/9754/7828 8668/9753/7827 8660/9744/7819 +f 8662/9746/7821 8670/9755/7829 8669/9754/7828 8661/9745/7820 +f 8663/9747/7822 8671/9756/7830 8670/9755/7829 8662/9746/7821 +f 8664/9740/7816 8672/9749/7824 8671/9756/7830 8663/9747/7822 +f 8665/9748/7823 8673/9757/7831 8680/9758/7832 8672/9749/7824 +f 8666/9750/7825 8674/9759/7833 8673/9760/7831 8665/9751/7823 +f 8667/9752/7826 8675/9761/7834 8674/9759/7833 8666/9750/7825 +f 8668/9753/7827 8676/9762/7835 8675/9761/7834 8667/9752/7826 +f 8669/9754/7828 8677/9763/7836 8676/9762/7835 8668/9753/7827 +f 8670/9755/7829 8678/9764/7837 8677/9763/7836 8669/9754/7828 +f 8671/9756/7830 8679/9765/7838 8678/9764/7837 8670/9755/7829 +f 8672/9749/7824 8680/9758/7832 8679/9765/7838 8671/9756/7830 +f 8673/9757/7831 8681/9766/7815 8688/9767/7816 8680/9758/7832 +f 8674/9759/7833 8682/9768/7817 8681/9769/7815 8673/9760/7831 +f 8675/9761/7834 8683/9770/7818 8682/9768/7817 8674/9759/7833 +f 8676/9762/7835 8684/9771/7819 8683/9770/7818 8675/9761/7834 +f 8677/9763/7836 8685/9772/7820 8684/9771/7819 8676/9762/7835 +f 8678/9764/7837 8686/9773/7821 8685/9772/7820 8677/9763/7836 +f 8679/9765/7838 8687/9774/7839 8686/9773/7821 8678/9764/7837 +f 8680/9758/7832 8688/9767/7816 8687/9774/7839 8679/9765/7838 +f 8681/9766/7815 8689/9775/7840 8696/9776/7824 8688/9767/7816 +f 8682/9768/7817 8690/9777/7841 8689/9778/7840 8681/9769/7815 +f 8683/9770/7818 8691/9779/7826 8690/9777/7841 8682/9768/7817 +f 8684/9771/7819 8692/9780/7827 8691/9779/7826 8683/9770/7818 +f 8685/9772/7820 8693/9781/7842 8692/9780/7827 8684/9771/7819 +f 8686/9773/7821 8694/9782/7829 8693/9781/7842 8685/9772/7820 +f 8687/9774/7839 8695/9783/7830 8694/9782/7829 8686/9773/7821 +f 8688/9767/7816 8696/9776/7824 8695/9783/7830 8687/9774/7839 +f 8689/9775/7840 8697/9784/7831 8704/9785/7832 8696/9776/7824 +f 8690/9777/7841 8698/9786/7833 8697/9787/7831 8689/9778/7840 +f 8691/9779/7826 8699/9788/7843 8698/9786/7833 8690/9777/7841 +f 8692/9780/7827 8700/9789/7844 8699/9788/7843 8691/9779/7826 +f 8693/9781/7842 8701/9790/7845 8700/9789/7844 8692/9780/7827 +f 8694/9782/7829 8702/9791/7837 8701/9790/7845 8693/9781/7842 +f 8695/9783/7830 8703/9792/7846 8702/9791/7837 8694/9782/7829 +f 8696/9776/7824 8704/9785/7832 8703/9792/7846 8695/9783/7830 +f 8705/9793/7847 8713/9794/7848 8720/9795/7849 8712/9796/7850 +f 8706/9797/7851 8714/9798/7852 8713/9799/7848 8705/9800/7847 +f 8707/9801/7853 8715/9802/7853 8714/9798/7852 8706/9797/7851 +f 8708/9803/7854 8716/9804/7854 8715/9802/7853 8707/9801/7853 +f 8709/9805/7855 8717/9806/7855 8716/9804/7854 8708/9803/7854 +f 8710/9807/7856 8718/9808/7857 8717/9806/7855 8709/9805/7855 +f 8711/9809/7858 8719/9810/7858 8718/9808/7857 8710/9807/7856 +f 8712/9796/7850 8720/9795/7849 8719/9810/7858 8711/9809/7858 +f 8713/9794/7848 8721/9811/7859 8728/9812/7860 8720/9795/7849 +f 8714/9798/7852 8722/9813/7861 8721/9814/7859 8713/9799/7848 +f 8715/9802/7853 8723/9815/7862 8722/9813/7861 8714/9798/7852 +f 8716/9804/7854 8724/9816/7863 8723/9815/7862 8715/9802/7853 +f 8717/9806/7855 8725/9817/7864 8724/9816/7863 8716/9804/7854 +f 8718/9808/7857 8726/9818/7865 8725/9817/7864 8717/9806/7855 +f 8719/9810/7858 8727/9819/7866 8726/9818/7865 8718/9808/7857 +f 8720/9795/7849 8728/9812/7860 8727/9819/7866 8719/9810/7858 +f 8721/9811/7859 8729/9820/7867 8736/9821/7868 8728/9812/7860 +f 8722/9813/7861 8730/9822/7869 8729/9823/7867 8721/9814/7859 +f 8723/9815/7862 8731/9824/7870 8730/9822/7869 8722/9813/7861 +f 8724/9816/7863 8732/9825/7871 8731/9824/7870 8723/9815/7862 +f 8725/9817/7864 8733/9826/7872 8732/9825/7871 8724/9816/7863 +f 8726/9818/7865 8734/9827/7873 8733/9826/7872 8725/9817/7864 +f 8727/9819/7866 8735/9828/7874 8734/9827/7873 8726/9818/7865 +f 8728/9812/7860 8736/9821/7868 8735/9828/7874 8727/9819/7866 +f 8729/9820/7867 8737/9829/7875 8744/9830/7876 8736/9821/7868 +f 8730/9822/7869 8738/9831/7877 8737/9832/7875 8729/9823/7867 +f 8731/9824/7870 8739/9833/7878 8738/9831/7877 8730/9822/7869 +f 8732/9825/7871 8740/9834/7879 8739/9833/7878 8731/9824/7870 +f 8733/9826/7872 8741/9835/7880 8740/9834/7879 8732/9825/7871 +f 8734/9827/7873 8742/9836/7881 8741/9835/7880 8733/9826/7872 +f 8735/9828/7874 8743/9837/7882 8742/9836/7881 8734/9827/7873 +f 8736/9821/7868 8744/9830/7876 8743/9837/7882 8735/9828/7874 +f 8737/9829/7875 8745/9838/7883 8752/9839/7884 8744/9830/7876 +f 8738/9831/7877 8746/9840/7885 8745/9841/7883 8737/9832/7875 +f 8739/9833/7878 8747/9842/7886 8746/9840/7885 8738/9831/7877 +f 8740/9834/7879 8748/9843/7887 8747/9842/7886 8739/9833/7878 +f 8741/9835/7880 8749/9844/7888 8748/9843/7887 8740/9834/7879 +f 8742/9836/7881 8750/9845/7889 8749/9844/7888 8741/9835/7880 +f 8743/9837/7882 8751/9846/7890 8750/9845/7889 8742/9836/7881 +f 8744/9830/7876 8752/9839/7884 8751/9846/7890 8743/9837/7882 +f 8745/9838/7883 8753/9847/7891 8760/9848/7892 8752/9839/7884 +f 8746/9840/7885 8754/9849/7893 8753/9850/7891 8745/9841/7883 +f 8747/9842/7886 8755/9851/7894 8754/9849/7893 8746/9840/7885 +f 8748/9843/7887 8756/9852/7895 8755/9851/7894 8747/9842/7886 +f 8749/9844/7888 8757/9853/7896 8756/9852/7895 8748/9843/7887 +f 8750/9845/7889 8758/9854/7897 8757/9853/7896 8749/9844/7888 +f 8751/9846/7890 8759/9855/7898 8758/9854/7897 8750/9845/7889 +f 8752/9839/7884 8760/9848/7892 8759/9855/7898 8751/9846/7890 +f 8753/9847/7891 8761/9856/7899 8768/9857/7900 8760/9848/7892 +f 8754/9849/7893 8762/9858/7901 8761/9859/7899 8753/9850/7891 +f 8755/9851/7894 8763/9860/7878 8762/9858/7901 8754/9849/7893 +f 8756/9852/7895 8764/9861/7902 8763/9860/7878 8755/9851/7894 +f 8757/9853/7896 8765/9862/7903 8764/9861/7902 8756/9852/7895 +f 8758/9854/7897 8766/9863/7881 8765/9862/7903 8757/9853/7896 +f 8759/9855/7898 8767/9864/7904 8766/9863/7881 8758/9854/7897 +f 8760/9848/7892 8768/9857/7900 8767/9864/7904 8759/9855/7898 +f 8761/9856/7899 8769/9865/7905 8776/9866/7906 8768/9857/7900 +f 8762/9858/7901 8770/9867/7907 8769/9868/7905 8761/9859/7899 +f 8763/9860/7878 8771/9869/7908 8770/9867/7907 8762/9858/7901 +f 8764/9861/7902 8772/9870/7887 8771/9869/7908 8763/9860/7878 +f 8765/9862/7903 8773/9871/7888 8772/9870/7887 8764/9861/7902 +f 8766/9863/7881 8774/9872/7889 8773/9871/7888 8765/9862/7903 +f 8767/9864/7904 8775/9873/7909 8774/9872/7889 8766/9863/7881 +f 8768/9857/7900 8776/9866/7906 8775/9873/7909 8767/9864/7904 +f 8769/9865/7905 8777/9874/7891 8784/9875/7910 8776/9866/7906 +f 8770/9867/7907 8778/9876/7911 8777/9877/7891 8769/9868/7905 +f 8771/9869/7908 8779/9878/7912 8778/9876/7911 8770/9867/7907 +f 8772/9870/7887 8780/9879/7913 8779/9878/7912 8771/9869/7908 +f 8773/9871/7888 8781/9880/7914 8780/9879/7913 8772/9870/7887 +f 8774/9872/7889 8782/9881/7915 8781/9880/7914 8773/9871/7888 +f 8775/9873/7909 8783/9882/7916 8782/9881/7915 8774/9872/7889 +f 8776/9866/7906 8784/9875/7910 8783/9882/7916 8775/9873/7909 +f 8785/9883/7917 8793/9884/7917 8800/9885/7918 8792/9886/7918 +f 8786/9887/7919 8794/9888/7919 8793/9889/7917 8785/9890/7917 +f 8787/9891/7920 8795/9892/7920 8794/9888/7919 8786/9887/7919 +f 8788/9893/7921 8796/9894/7921 8795/9892/7920 8787/9891/7920 +f 8789/9895/7922 8797/9896/7923 8796/9894/7921 8788/9893/7921 +f 8790/9897/7924 8798/9898/7924 8797/9896/7923 8789/9895/7922 +f 8791/9899/7925 8799/9900/7925 8798/9898/7924 8790/9897/7924 +f 8792/9886/7918 8800/9885/7918 8799/9900/7925 8791/9899/7925 +f 8793/9884/7917 8801/9901/7926 8808/9902/7927 8800/9885/7918 +f 8794/9888/7919 8802/9903/7928 8801/9904/7926 8793/9889/7917 +f 8795/9892/7920 8803/9905/7929 8802/9903/7928 8794/9888/7919 +f 8796/9894/7921 8804/9906/7930 8803/9905/7929 8795/9892/7920 +f 8797/9896/7923 8805/9907/7931 8804/9906/7930 8796/9894/7921 +f 8798/9898/7924 8806/9908/7932 8805/9907/7931 8797/9896/7923 +f 8799/9900/7925 8807/9909/7933 8806/9908/7932 8798/9898/7924 +f 8800/9885/7918 8808/9902/7927 8807/9909/7933 8799/9900/7925 +f 8801/9901/7926 8809/9910/7934 8816/9911/7935 8808/9902/7927 +f 8802/9903/7928 8810/9912/7936 8809/9913/7934 8801/9904/7926 +f 8803/9905/7929 8811/9914/7937 8810/9912/7936 8802/9903/7928 +f 8804/9906/7930 8812/9915/7938 8811/9914/7937 8803/9905/7929 +f 8805/9907/7931 8813/9916/7939 8812/9915/7938 8804/9906/7930 +f 8806/9908/7932 8814/9917/7940 8813/9916/7939 8805/9907/7931 +f 8807/9909/7933 8815/9918/7941 8814/9917/7940 8806/9908/7932 +f 8808/9902/7927 8816/9911/7935 8815/9918/7941 8807/9909/7933 +f 8809/9910/7934 8817/9919/7942 8824/9920/7943 8816/9911/7935 +f 8810/9912/7936 8818/9921/7944 8817/9922/7942 8809/9913/7934 +f 8811/9914/7937 8819/9923/7945 8818/9921/7944 8810/9912/7936 +f 8812/9915/7938 8820/9924/7946 8819/9923/7945 8811/9914/7937 +f 8813/9916/7939 8821/9925/7947 8820/9924/7946 8812/9915/7938 +f 8814/9917/7940 8822/9926/7948 8821/9925/7947 8813/9916/7939 +f 8815/9918/7941 8823/9927/7949 8822/9926/7948 8814/9917/7940 +f 8816/9911/7935 8824/9920/7943 8823/9927/7949 8815/9918/7941 +f 8817/9919/7942 8825/9928/7950 8832/9929/7951 8824/9920/7943 +f 8818/9921/7944 8826/9930/7952 8825/9931/7950 8817/9922/7942 +f 8819/9923/7945 8827/9932/7953 8826/9930/7952 8818/9921/7944 +f 8820/9924/7946 8828/9933/7954 8827/9932/7953 8819/9923/7945 +f 8821/9925/7947 8829/9934/7955 8828/9933/7954 8820/9924/7946 +f 8822/9926/7948 8830/9935/7956 8829/9934/7955 8821/9925/7947 +f 8823/9927/7949 8831/9936/7957 8830/9935/7956 8822/9926/7948 +f 8824/9920/7943 8832/9929/7951 8831/9936/7957 8823/9927/7949 +f 8825/9928/7950 8833/9937/7958 8840/9938/7959 8832/9929/7951 +f 8826/9930/7952 8834/9939/7960 8833/9940/7958 8825/9931/7950 +f 8827/9932/7953 8835/9941/7961 8834/9939/7960 8826/9930/7952 +f 8828/9933/7954 8836/9942/7962 8835/9941/7961 8827/9932/7953 +f 8829/9934/7955 8837/9943/7963 8836/9942/7962 8828/9933/7954 +f 8830/9935/7956 8838/9944/7964 8837/9943/7963 8829/9934/7955 +f 8831/9936/7957 8839/9945/7965 8838/9944/7964 8830/9935/7956 +f 8832/9929/7951 8840/9938/7959 8839/9945/7965 8831/9936/7957 +f 8833/9937/7958 8841/9946/7942 8848/9947/7966 8840/9938/7959 +f 8834/9939/7960 8842/9948/7944 8841/9949/7942 8833/9940/7958 +f 8835/9941/7961 8843/9950/7945 8842/9948/7944 8834/9939/7960 +f 8836/9942/7962 8844/9951/7967 8843/9950/7945 8835/9941/7961 +f 8837/9943/7963 8845/9952/7968 8844/9951/7967 8836/9942/7962 +f 8838/9944/7964 8846/9953/7948 8845/9952/7968 8837/9943/7963 +f 8839/9945/7965 8847/9954/7969 8846/9953/7948 8838/9944/7964 +f 8840/9938/7959 8848/9947/7966 8847/9954/7969 8839/9945/7965 +f 8841/9946/7942 8849/9955/7950 8856/9956/7951 8848/9947/7966 +f 8842/9948/7944 8850/9957/7952 8849/9958/7950 8841/9949/7942 +f 8843/9950/7945 8851/9959/7970 8850/9957/7952 8842/9948/7944 +f 8844/9951/7967 8852/9960/7954 8851/9959/7970 8843/9950/7945 +f 8845/9952/7968 8853/9961/7971 8852/9960/7954 8844/9951/7967 +f 8846/9953/7948 8854/9962/7956 8853/9961/7971 8845/9952/7968 +f 8847/9954/7969 8855/9963/7972 8854/9962/7956 8846/9953/7948 +f 8848/9947/7966 8856/9956/7951 8855/9963/7972 8847/9954/7969 +f 8849/9955/7950 8857/9964/7973 8864/9965/7959 8856/9956/7951 +f 8850/9957/7952 8858/9966/7974 8857/9967/7973 8849/9958/7950 +f 8851/9959/7970 8859/9968/7975 8858/9966/7974 8850/9957/7952 +f 8852/9960/7954 8860/9969/7962 8859/9968/7975 8851/9959/7970 +f 8853/9961/7971 8861/9970/7976 8860/9969/7962 8852/9960/7954 +f 8854/9962/7956 8862/9971/7977 8861/9970/7976 8853/9961/7971 +f 8855/9963/7972 8863/9972/7978 8862/9971/7977 8854/9962/7956 +f 8856/9956/7951 8864/9965/7959 8863/9972/7978 8855/9963/7972 +f 8865/9973/7979 8873/9974/7979 8880/9975/7980 8872/9976/7981 +f 8866/9977/7982 8874/9978/7983 8873/9979/7979 8865/9980/7979 +f 8867/9981/7984 8875/9982/7984 8874/9978/7983 8866/9977/7982 +f 8868/9983/7985 8876/9984/7985 8875/9982/7984 8867/9981/7984 +f 8869/9985/7986 8877/9986/7986 8876/9984/7985 8868/9983/7985 +f 8870/9987/7987 8878/9988/7987 8877/9986/7986 8869/9985/7986 +f 8871/9989/7988 8879/9990/7988 8878/9988/7987 8870/9987/7987 +f 8872/9976/7981 8880/9975/7980 8879/9990/7988 8871/9989/7988 +f 8873/9974/7979 8881/9991/7989 8888/9992/7990 8880/9975/7980 +f 8874/9978/7983 8882/9993/7991 8881/9994/7989 8873/9979/7979 +f 8875/9982/7984 8883/9995/7992 8882/9993/7991 8874/9978/7983 +f 8876/9984/7985 8884/9996/7993 8883/9995/7992 8875/9982/7984 +f 8877/9986/7986 8885/9997/7994 8884/9996/7993 8876/9984/7985 +f 8878/9988/7987 8886/9998/7995 8885/9997/7994 8877/9986/7986 +f 8879/9990/7988 8887/9999/7996 8886/9998/7995 8878/9988/7987 +f 8880/9975/7980 8888/9992/7990 8887/9999/7996 8879/9990/7988 +f 8881/9991/7989 8889/10000/7997 8896/10001/7998 8888/9992/7990 +f 8882/9993/7991 8890/10002/7999 8889/10003/7997 8881/9994/7989 +f 8883/9995/7992 8891/10004/8000 8890/10002/7999 8882/9993/7991 +f 8884/9996/7993 8892/10005/8001 8891/10004/8000 8883/9995/7992 +f 8885/9997/7994 8893/10006/8002 8892/10005/8001 8884/9996/7993 +f 8886/9998/7995 8894/10007/8003 8893/10006/8002 8885/9997/7994 +f 8887/9999/7996 8895/10008/8004 8894/10007/8003 8886/9998/7995 +f 8888/9992/7990 8896/10001/7998 8895/10008/8004 8887/9999/7996 +f 8889/10000/7997 8897/10009/8005 8904/10010/8006 8896/10001/7998 +f 8890/10002/7999 8898/10011/8007 8897/10012/8005 8889/10003/7997 +f 8891/10004/8000 8899/10013/8008 8898/10011/8007 8890/10002/7999 +f 8892/10005/8001 8900/10014/8009 8899/10013/8008 8891/10004/8000 +f 8893/10006/8002 8901/10015/8010 8900/10014/8009 8892/10005/8001 +f 8894/10007/8003 8902/10016/8011 8901/10015/8010 8893/10006/8002 +f 8895/10008/8004 8903/10017/8012 8902/10016/8011 8894/10007/8003 +f 8896/10001/7998 8904/10010/8006 8903/10017/8012 8895/10008/8004 +f 8897/10009/8005 8905/10018/8013 8912/10019/8014 8904/10010/8006 +f 8898/10011/8007 8906/10020/8015 8905/10021/8013 8897/10012/8005 +f 8899/10013/8008 8907/10022/8016 8906/10020/8015 8898/10011/8007 +f 8900/10014/8009 8908/10023/8017 8907/10022/8016 8899/10013/8008 +f 8901/10015/8010 8909/10024/8018 8908/10023/8017 8900/10014/8009 +f 8902/10016/8011 8910/10025/8019 8909/10024/8018 8901/10015/8010 +f 8903/10017/8012 8911/10026/8020 8910/10025/8019 8902/10016/8011 +f 8904/10010/8006 8912/10019/8014 8911/10026/8020 8903/10017/8012 +f 8905/10018/8013 8913/10027/8021 8920/10028/8022 8912/10019/8014 +f 8906/10020/8015 8914/10029/8023 8913/10030/8021 8905/10021/8013 +f 8907/10022/8016 8915/10031/8024 8914/10029/8023 8906/10020/8015 +f 8908/10023/8017 8916/10032/8025 8915/10031/8024 8907/10022/8016 +f 8909/10024/8018 8917/10033/8026 8916/10032/8025 8908/10023/8017 +f 8910/10025/8019 8918/10034/8027 8917/10033/8026 8909/10024/8018 +f 8911/10026/8020 8919/10035/8028 8918/10034/8027 8910/10025/8019 +f 8912/10019/8014 8920/10028/8022 8919/10035/8028 8911/10026/8020 +f 8913/10027/8021 8921/10036/8005 8928/10037/8029 8920/10028/8022 +f 8914/10029/8023 8922/10038/8007 8921/10039/8005 8913/10030/8021 +f 8915/10031/8024 8923/10040/8008 8922/10038/8007 8914/10029/8023 +f 8916/10032/8025 8924/10041/8030 8923/10040/8008 8915/10031/8024 +f 8917/10033/8026 8925/10042/8010 8924/10041/8030 8916/10032/8025 +f 8918/10034/8027 8926/10043/8011 8925/10042/8010 8917/10033/8026 +f 8919/10035/8028 8927/10044/8012 8926/10043/8011 8918/10034/8027 +f 8920/10028/8022 8928/10037/8029 8927/10044/8012 8919/10035/8028 +f 8921/10036/8005 8929/10045/8013 8936/10046/8031 8928/10037/8029 +f 8922/10038/8007 8930/10047/8015 8929/10048/8013 8921/10039/8005 +f 8923/10040/8008 8931/10049/8032 8930/10047/8015 8922/10038/8007 +f 8924/10041/8030 8932/10050/8033 8931/10049/8032 8923/10040/8008 +f 8925/10042/8010 8933/10051/8034 8932/10050/8033 8924/10041/8030 +f 8926/10043/8011 8934/10052/8035 8933/10051/8034 8925/10042/8010 +f 8927/10044/8012 8935/10053/8036 8934/10052/8035 8926/10043/8011 +f 8928/10037/8029 8936/10046/8031 8935/10053/8036 8927/10044/8012 +f 8929/10045/8013 8937/10054/8037 8944/10055/8022 8936/10046/8031 +f 8930/10047/8015 8938/10056/8023 8937/10057/8037 8929/10048/8013 +f 8931/10049/8032 8939/10058/8024 8938/10056/8023 8930/10047/8015 +f 8932/10050/8033 8940/10059/8038 8939/10058/8024 8931/10049/8032 +f 8933/10051/8034 8941/10060/8039 8940/10059/8038 8932/10050/8033 +f 8934/10052/8035 8942/10061/8040 8941/10060/8039 8933/10051/8034 +f 8935/10053/8036 8943/10062/8041 8942/10061/8040 8934/10052/8035 +f 8936/10046/8031 8944/10055/8022 8943/10062/8041 8935/10053/8036 +f 8945/10063/8042 8953/10064/8042 8960/10065/8043 8952/10066/8043 +f 8946/10067/8044 8954/10068/8045 8953/10069/8042 8945/10070/8042 +f 8947/10071/8046 8955/10072/8046 8954/10068/8045 8946/10067/8044 +f 8948/10073/8047 8956/10074/8047 8955/10072/8046 8947/10071/8046 +f 8949/10075/8048 8957/10076/8048 8956/10074/8047 8948/10073/8047 +f 8950/10077/8049 8958/10078/8049 8957/10076/8048 8949/10075/8048 +f 8951/10079/8050 8959/10080/8050 8958/10078/8049 8950/10077/8049 +f 8952/10066/8043 8960/10065/8043 8959/10080/8050 8951/10079/8050 +f 8953/10064/8042 8961/10081/8051 8968/10082/8052 8960/10065/8043 +f 8954/10068/8045 8962/10083/8053 8961/10084/8051 8953/10069/8042 +f 8955/10072/8046 8963/10085/8054 8962/10083/8053 8954/10068/8045 +f 8956/10074/8047 8964/10086/8055 8963/10085/8054 8955/10072/8046 +f 8957/10076/8048 8965/10087/8056 8964/10086/8055 8956/10074/8047 +f 8958/10078/8049 8966/10088/8057 8965/10087/8056 8957/10076/8048 +f 8959/10080/8050 8967/10089/8058 8966/10088/8057 8958/10078/8049 +f 8960/10065/8043 8968/10082/8052 8967/10089/8058 8959/10080/8050 +f 8961/10081/8051 8969/10090/8059 8976/10091/8060 8968/10082/8052 +f 8962/10083/8053 8970/10092/8061 8969/10093/8059 8961/10084/8051 +f 8963/10085/8054 8971/10094/8062 8970/10092/8061 8962/10083/8053 +f 8964/10086/8055 8972/10095/8063 8971/10094/8062 8963/10085/8054 +f 8965/10087/8056 8973/10096/8064 8972/10095/8063 8964/10086/8055 +f 8966/10088/8057 8974/10097/8065 8973/10096/8064 8965/10087/8056 +f 8967/10089/8058 8975/10098/8066 8974/10097/8065 8966/10088/8057 +f 8968/10082/8052 8976/10091/8060 8975/10098/8066 8967/10089/8058 +f 8969/10090/8059 8977/10099/8067 8984/10100/8068 8976/10091/8060 +f 8970/10092/8061 8978/10101/8069 8977/10102/8067 8969/10093/8059 +f 8971/10094/8062 8979/10103/8070 8978/10101/8069 8970/10092/8061 +f 8972/10095/8063 8980/10104/8071 8979/10103/8070 8971/10094/8062 +f 8973/10096/8064 8981/10105/8072 8980/10104/8071 8972/10095/8063 +f 8974/10097/8065 8982/10106/8073 8981/10105/8072 8973/10096/8064 +f 8975/10098/8066 8983/10107/8074 8982/10106/8073 8974/10097/8065 +f 8976/10091/8060 8984/10100/8068 8983/10107/8074 8975/10098/8066 +f 8977/10099/8067 8985/10108/8075 8992/10109/8076 8984/10100/8068 +f 8978/10101/8069 8986/10110/8077 8985/10111/8075 8977/10102/8067 +f 8979/10103/8070 8987/10112/8078 8986/10110/8077 8978/10101/8069 +f 8980/10104/8071 8988/10113/8079 8987/10112/8078 8979/10103/8070 +f 8981/10105/8072 8989/10114/8080 8988/10113/8079 8980/10104/8071 +f 8982/10106/8073 8990/10115/8081 8989/10114/8080 8981/10105/8072 +f 8983/10107/8074 8991/10116/8082 8990/10115/8081 8982/10106/8073 +f 8984/10100/8068 8992/10109/8076 8991/10116/8082 8983/10107/8074 +f 8985/10108/8075 8993/10117/8083 9000/10118/8084 8992/10109/8076 +f 8986/10110/8077 8994/10119/8085 8993/10120/8083 8985/10111/8075 +f 8987/10112/8078 8995/10121/8086 8994/10119/8085 8986/10110/8077 +f 8988/10113/8079 8996/10122/8087 8995/10121/8086 8987/10112/8078 +f 8989/10114/8080 8997/10123/8088 8996/10122/8087 8988/10113/8079 +f 8990/10115/8081 8998/10124/8089 8997/10123/8088 8989/10114/8080 +f 8991/10116/8082 8999/10125/8090 8998/10124/8089 8990/10115/8081 +f 8992/10109/8076 9000/10118/8084 8999/10125/8090 8991/10116/8082 +f 8993/10117/8083 9001/10126/8067 9008/10127/8068 9000/10118/8084 +f 8994/10119/8085 9002/10128/8091 9001/10129/8067 8993/10120/8083 +f 8995/10121/8086 9003/10130/8092 9002/10128/8091 8994/10119/8085 +f 8996/10122/8087 9004/10131/8071 9003/10130/8092 8995/10121/8086 +f 8997/10123/8088 9005/10132/8072 9004/10131/8071 8996/10122/8087 +f 8998/10124/8089 9006/10133/8093 9005/10132/8072 8997/10123/8088 +f 8999/10125/8090 9007/10134/8094 9006/10133/8093 8998/10124/8089 +f 9000/10118/8084 9008/10127/8068 9007/10134/8094 8999/10125/8090 +f 9001/10126/8067 9009/10135/8095 9016/10136/8076 9008/10127/8068 +f 9002/10128/8091 9010/10137/8077 9009/10138/8095 9001/10129/8067 +f 9003/10130/8092 9011/10139/8096 9010/10137/8077 9002/10128/8091 +f 9004/10131/8071 9012/10140/8097 9011/10139/8096 9003/10130/8092 +f 9005/10132/8072 9013/10141/8080 9012/10140/8097 9004/10131/8071 +f 9006/10133/8093 9014/10142/8081 9013/10141/8080 9005/10132/8072 +f 9007/10134/8094 9015/10143/8082 9014/10142/8081 9006/10133/8093 +f 9008/10127/8068 9016/10136/8076 9015/10143/8082 9007/10134/8094 +f 9009/10135/8095 9017/10144/8098 9024/10145/8099 9016/10136/8076 +f 9010/10137/8077 9018/10146/8100 9017/10147/8098 9009/10138/8095 +f 9011/10139/8096 9019/10148/8101 9018/10146/8100 9010/10137/8077 +f 9012/10140/8097 9020/10149/8102 9019/10148/8101 9011/10139/8096 +f 9013/10141/8080 9021/10150/8103 9020/10149/8102 9012/10140/8097 +f 9014/10142/8081 9022/10151/8104 9021/10150/8103 9013/10141/8080 +f 9015/10143/8082 9023/10152/8105 9022/10151/8104 9014/10142/8081 +f 9016/10136/8076 9024/10145/8099 9023/10152/8105 9015/10143/8082 +f 9025/10153/8106 9033/10154/8106 9040/10155/8107 9032/10156/8107 +f 9026/10157/8108 9034/10158/8108 9033/10159/8106 9025/10160/8106 +f 9027/10161/8109 9035/10162/8110 9034/10158/8108 9026/10157/8108 +f 9028/10163/8111 9036/10164/8112 9035/10162/8110 9027/10161/8109 +f 9029/10165/8113 9037/10166/8113 9036/10164/8112 9028/10163/8111 +f 9030/10167/8114 9038/10168/8114 9037/10166/8113 9029/10165/8113 +f 9031/10169/8115 9039/10170/8116 9038/10168/8114 9030/10167/8114 +f 9032/10156/8107 9040/10155/8107 9039/10170/8116 9031/10169/8115 +f 9033/10154/8106 9041/10171/8117 9048/10172/8118 9040/10155/8107 +f 9034/10158/8108 9042/10173/8119 9041/10174/8117 9033/10159/8106 +f 9035/10162/8110 9043/10175/8120 9042/10173/8119 9034/10158/8108 +f 9036/10164/8112 9044/10176/8121 9043/10175/8120 9035/10162/8110 +f 9037/10166/8113 9045/10177/8122 9044/10176/8121 9036/10164/8112 +f 9038/10168/8114 9046/10178/8123 9045/10177/8122 9037/10166/8113 +f 9039/10170/8116 9047/10179/8124 9046/10178/8123 9038/10168/8114 +f 9040/10155/8107 9048/10172/8118 9047/10179/8124 9039/10170/8116 +f 9041/10171/8117 9049/10180/8125 9056/10181/8126 9048/10172/8118 +f 9042/10173/8119 9050/10182/8127 9049/10183/8125 9041/10174/8117 +f 9043/10175/8120 9051/10184/8128 9050/10182/8127 9042/10173/8119 +f 9044/10176/8121 9052/10185/8129 9051/10184/8128 9043/10175/8120 +f 9045/10177/8122 9053/10186/8130 9052/10185/8129 9044/10176/8121 +f 9046/10178/8123 9054/10187/8131 9053/10186/8130 9045/10177/8122 +f 9047/10179/8124 9055/10188/8132 9054/10187/8131 9046/10178/8123 +f 9048/10172/8118 9056/10181/8126 9055/10188/8132 9047/10179/8124 +f 9049/10180/8125 9057/10189/8133 9064/10190/8134 9056/10181/8126 +f 9050/10182/8127 9058/10191/8135 9057/10192/8133 9049/10183/8125 +f 9051/10184/8128 9059/10193/8136 9058/10191/8135 9050/10182/8127 +f 9052/10185/8129 9060/10194/8137 9059/10193/8136 9051/10184/8128 +f 9053/10186/8130 9061/10195/8138 9060/10194/8137 9052/10185/8129 +f 9054/10187/8131 9062/10196/8139 9061/10195/8138 9053/10186/8130 +f 9055/10188/8132 9063/10197/8140 9062/10196/8139 9054/10187/8131 +f 9056/10181/8126 9064/10190/8134 9063/10197/8140 9055/10188/8132 +f 9057/10189/8133 9065/10198/8141 9072/10199/8142 9064/10190/8134 +f 9058/10191/8135 9066/10200/8143 9065/10201/8141 9057/10192/8133 +f 9059/10193/8136 9067/10202/8144 9066/10200/8143 9058/10191/8135 +f 9060/10194/8137 9068/10203/8145 9067/10202/8144 9059/10193/8136 +f 9061/10195/8138 9069/10204/8146 9068/10203/8145 9060/10194/8137 +f 9062/10196/8139 9070/10205/8147 9069/10204/8146 9061/10195/8138 +f 9063/10197/8140 9071/10206/8148 9070/10205/8147 9062/10196/8139 +f 9064/10190/8134 9072/10199/8142 9071/10206/8148 9063/10197/8140 +f 9065/10198/8141 9073/10207/8149 9080/10208/8150 9072/10199/8142 +f 9066/10200/8143 9074/10209/8151 9073/10210/8149 9065/10201/8141 +f 9067/10202/8144 9075/10211/8152 9074/10209/8151 9066/10200/8143 +f 9068/10203/8145 9076/10212/8153 9075/10211/8152 9067/10202/8144 +f 9069/10204/8146 9077/10213/8154 9076/10212/8153 9068/10203/8145 +f 9070/10205/8147 9078/10214/8155 9077/10213/8154 9069/10204/8146 +f 9071/10206/8148 9079/10215/8156 9078/10214/8155 9070/10205/8147 +f 9072/10199/8142 9080/10208/8150 9079/10215/8156 9071/10206/8148 +f 9073/10207/8149 9081/10216/8157 9088/10217/8158 9080/10208/8150 +f 9074/10209/8151 9082/10218/8159 9081/10219/8157 9073/10210/8149 +f 9075/10211/8152 9083/10220/8160 9082/10218/8159 9074/10209/8151 +f 9076/10212/8153 9084/10221/8137 9083/10220/8160 9075/10211/8152 +f 9077/10213/8154 9085/10222/8138 9084/10221/8137 9076/10212/8153 +f 9078/10214/8155 9086/10223/8139 9085/10222/8138 9077/10213/8154 +f 9079/10215/8156 9087/10224/8161 9086/10223/8139 9078/10214/8155 +f 9080/10208/8150 9088/10217/8158 9087/10224/8161 9079/10215/8156 +f 9081/10216/8157 9089/10225/8162 9096/10226/8163 9088/10217/8158 +f 9082/10218/8159 9090/10227/8164 9089/10228/8162 9081/10219/8157 +f 9083/10220/8160 9091/10229/8165 9090/10227/8164 9082/10218/8159 +f 9084/10221/8137 9092/10230/8166 9091/10229/8165 9083/10220/8160 +f 9085/10222/8138 9093/10231/8167 9092/10230/8166 9084/10221/8137 +f 9086/10223/8139 9094/10232/8168 9093/10231/8167 9085/10222/8138 +f 9087/10224/8161 9095/10233/8148 9094/10232/8168 9086/10223/8139 +f 9088/10217/8158 9096/10226/8163 9095/10233/8148 9087/10224/8161 +f 9089/10225/8162 9097/10234/8169 9104/10235/8170 9096/10226/8163 +f 9090/10227/8164 9098/10236/8171 9097/10237/8169 9089/10228/8162 +f 9091/10229/8165 9099/10238/8172 9098/10236/8171 9090/10227/8164 +f 9092/10230/8166 9100/10239/8173 9099/10238/8172 9091/10229/8165 +f 9093/10231/8167 9101/10240/8174 9100/10239/8173 9092/10230/8166 +f 9094/10232/8168 9102/10241/8175 9101/10240/8174 9093/10231/8167 +f 9095/10233/8148 9103/10242/8176 9102/10241/8175 9094/10232/8168 +f 9096/10226/8163 9104/10235/8170 9103/10242/8176 9095/10233/8148 +f 9105/10243/8177 9113/10244/8178 9120/10245/8179 9112/10246/8179 +f 9106/10247/8180 9114/10248/8180 9113/10249/8178 9105/10250/8177 +f 9107/10251/8181 9115/10252/8181 9114/10248/8180 9106/10247/8180 +f 9108/10253/8182 9116/10254/8182 9115/10252/8181 9107/10251/8181 +f 9109/10255/8183 9117/10256/8183 9116/10254/8182 9108/10253/8182 +f 9110/10257/8184 9118/10258/8185 9117/10256/8183 9109/10255/8183 +f 9111/10259/8186 9119/10260/8187 9118/10258/8185 9110/10257/8184 +f 9112/10246/8179 9120/10245/8179 9119/10260/8187 9111/10259/8186 +f 9113/10244/8178 9121/10261/8188 9128/10262/8189 9120/10245/8179 +f 9114/10248/8180 9122/10263/8190 9121/10264/8188 9113/10249/8178 +f 9115/10252/8181 9123/10265/8191 9122/10263/8190 9114/10248/8180 +f 9116/10254/8182 9124/10266/8192 9123/10265/8191 9115/10252/8181 +f 9117/10256/8183 9125/10267/8193 9124/10266/8192 9116/10254/8182 +f 9118/10258/8185 9126/10268/8194 9125/10267/8193 9117/10256/8183 +f 9119/10260/8187 9127/10269/8195 9126/10268/8194 9118/10258/8185 +f 9120/10245/8179 9128/10262/8189 9127/10269/8195 9119/10260/8187 +f 9121/10261/8188 9129/10270/8196 9136/10271/8197 9128/10262/8189 +f 9122/10263/8190 9130/10272/8198 9129/10273/8196 9121/10264/8188 +f 9123/10265/8191 9131/10274/8199 9130/10272/8198 9122/10263/8190 +f 9124/10266/8192 9132/10275/8200 9131/10274/8199 9123/10265/8191 +f 9125/10267/8193 9133/10276/8201 9132/10275/8200 9124/10266/8192 +f 9126/10268/8194 9134/10277/8202 9133/10276/8201 9125/10267/8193 +f 9127/10269/8195 9135/10278/8203 9134/10277/8202 9126/10268/8194 +f 9128/10262/8189 9136/10271/8197 9135/10278/8203 9127/10269/8195 +f 9129/10270/8196 9137/10279/8204 9144/10280/8205 9136/10271/8197 +f 9130/10272/8198 9138/10281/8206 9137/10282/8204 9129/10273/8196 +f 9131/10274/8199 9139/10283/8207 9138/10281/8206 9130/10272/8198 +f 9132/10275/8200 9140/10284/8208 9139/10283/8207 9131/10274/8199 +f 9133/10276/8201 9141/10285/8209 9140/10284/8208 9132/10275/8200 +f 9134/10277/8202 9142/10286/8210 9141/10285/8209 9133/10276/8201 +f 9135/10278/8203 9143/10287/8211 9142/10286/8210 9134/10277/8202 +f 9136/10271/8197 9144/10280/8205 9143/10287/8211 9135/10278/8203 +f 9137/10279/8204 9145/10288/8212 9152/10289/8213 9144/10280/8205 +f 9138/10281/8206 9146/10290/8214 9145/10291/8212 9137/10282/8204 +f 9139/10283/8207 9147/10292/8215 9146/10290/8214 9138/10281/8206 +f 9140/10284/8208 9148/10293/8216 9147/10292/8215 9139/10283/8207 +f 9141/10285/8209 9149/10294/8217 9148/10293/8216 9140/10284/8208 +f 9142/10286/8210 9150/10295/8218 9149/10294/8217 9141/10285/8209 +f 9143/10287/8211 9151/10296/8219 9150/10295/8218 9142/10286/8210 +f 9144/10280/8205 9152/10289/8213 9151/10296/8219 9143/10287/8211 +f 9145/10288/8212 9153/10297/8220 9160/10298/8221 9152/10289/8213 +f 9146/10290/8214 9154/10299/8222 9153/10300/8220 9145/10291/8212 +f 9147/10292/8215 9155/10301/8223 9154/10299/8222 9146/10290/8214 +f 9148/10293/8216 9156/10302/8224 9155/10301/8223 9147/10292/8215 +f 9149/10294/8217 9157/10303/8225 9156/10302/8224 9148/10293/8216 +f 9150/10295/8218 9158/10304/8226 9157/10303/8225 9149/10294/8217 +f 9151/10296/8219 9159/10305/8227 9158/10304/8226 9150/10295/8218 +f 9152/10289/8213 9160/10298/8221 9159/10305/8227 9151/10296/8219 +f 9153/10297/8220 9161/10306/8228 9168/10307/8229 9160/10298/8221 +f 9154/10299/8222 9162/10308/8230 9161/10309/8228 9153/10300/8220 +f 9155/10301/8223 9163/10310/8207 9162/10308/8230 9154/10299/8222 +f 9156/10302/8224 9164/10311/8208 9163/10310/8207 9155/10301/8223 +f 9157/10303/8225 9165/10312/8231 9164/10311/8208 9156/10302/8224 +f 9158/10304/8226 9166/10313/8232 9165/10312/8231 9157/10303/8225 +f 9159/10305/8227 9167/10314/8211 9166/10313/8232 9158/10304/8226 +f 9160/10298/8221 9168/10307/8229 9167/10314/8211 9159/10305/8227 +f 9161/10306/8228 9169/10315/8233 9176/10316/8234 9168/10307/8229 +f 9162/10308/8230 9170/10317/8235 9169/10318/8233 9161/10309/8228 +f 9163/10310/8207 9171/10319/8236 9170/10317/8235 9162/10308/8230 +f 9164/10311/8208 9172/10320/8237 9171/10319/8236 9163/10310/8207 +f 9165/10312/8231 9173/10321/8217 9172/10320/8237 9164/10311/8208 +f 9166/10313/8232 9174/10322/8238 9173/10321/8217 9165/10312/8231 +f 9167/10314/8211 9175/10323/8239 9174/10322/8238 9166/10313/8232 +f 9168/10307/8229 9176/10316/8234 9175/10323/8239 9167/10314/8211 +f 9169/10315/8233 9177/10324/8240 9184/10325/8241 9176/10316/8234 +f 9170/10317/8235 9178/10326/8242 9177/10327/8240 9169/10318/8233 +f 9171/10319/8236 9179/10328/8243 9178/10326/8242 9170/10317/8235 +f 9172/10320/8237 9180/10329/8244 9179/10328/8243 9171/10319/8236 +f 9173/10321/8217 9181/10330/8245 9180/10329/8244 9172/10320/8237 +f 9174/10322/8238 9182/10331/8246 9181/10330/8245 9173/10321/8217 +f 9175/10323/8239 9183/10332/8247 9182/10331/8246 9174/10322/8238 +f 9176/10316/8234 9184/10325/8241 9183/10332/8247 9175/10323/8239 +f 9185/10333/8248 9193/10334/8248 9200/10335/8249 9192/10336/8249 +f 9186/10337/8250 9194/10338/8250 9193/10339/8248 9185/10340/8248 +f 9187/10341/8251 9195/10342/8251 9194/10338/8250 9186/10337/8250 +f 9188/10343/8252 9196/10344/8252 9195/10342/8251 9187/10341/8251 +f 9189/10345/8253 9197/10346/8253 9196/10344/8252 9188/10343/8252 +f 9190/10347/8254 9198/10348/8254 9197/10346/8253 9189/10345/8253 +f 9191/10349/8255 9199/10350/8255 9198/10348/8254 9190/10347/8254 +f 9192/10336/8249 9200/10335/8249 9199/10350/8255 9191/10349/8255 +f 9193/10334/8248 9201/10351/8256 9208/10352/8257 9200/10335/8249 +f 9194/10338/8250 9202/10353/8258 9201/10354/8256 9193/10339/8248 +f 9195/10342/8251 9203/10355/8259 9202/10353/8258 9194/10338/8250 +f 9196/10344/8252 9204/10356/8260 9203/10355/8259 9195/10342/8251 +f 9197/10346/8253 9205/10357/8261 9204/10356/8260 9196/10344/8252 +f 9198/10348/8254 9206/10358/8262 9205/10357/8261 9197/10346/8253 +f 9199/10350/8255 9207/10359/8263 9206/10358/8262 9198/10348/8254 +f 9200/10335/8249 9208/10352/8257 9207/10359/8263 9199/10350/8255 +f 9201/10351/8256 9209/10360/8264 9216/10361/8265 9208/10352/8257 +f 9202/10353/8258 9210/10362/8266 9209/10363/8264 9201/10354/8256 +f 9203/10355/8259 9211/10364/8267 9210/10362/8266 9202/10353/8258 +f 9204/10356/8260 9212/10365/8268 9211/10364/8267 9203/10355/8259 +f 9205/10357/8261 9213/10366/8269 9212/10365/8268 9204/10356/8260 +f 9206/10358/8262 9214/10367/8270 9213/10366/8269 9205/10357/8261 +f 9207/10359/8263 9215/10368/8271 9214/10367/8270 9206/10358/8262 +f 9208/10352/8257 9216/10361/8265 9215/10368/8271 9207/10359/8263 +f 9209/10360/8264 9217/10369/8272 9224/10370/8273 9216/10361/8265 +f 9210/10362/8266 9218/10371/8274 9217/10372/8272 9209/10363/8264 +f 9211/10364/8267 9219/10373/8275 9218/10371/8274 9210/10362/8266 +f 9212/10365/8268 9220/10374/8276 9219/10373/8275 9211/10364/8267 +f 9213/10366/8269 9221/10375/8277 9220/10374/8276 9212/10365/8268 +f 9214/10367/8270 9222/10376/8278 9221/10375/8277 9213/10366/8269 +f 9215/10368/8271 9223/10377/8279 9222/10376/8278 9214/10367/8270 +f 9216/10361/8265 9224/10370/8273 9223/10377/8279 9215/10368/8271 +f 9217/10369/8272 9225/10378/8280 9232/10379/8281 9224/10370/8273 +f 9218/10371/8274 9226/10380/8282 9225/10381/8280 9217/10372/8272 +f 9219/10373/8275 9227/10382/8283 9226/10380/8282 9218/10371/8274 +f 9220/10374/8276 9228/10383/8284 9227/10382/8283 9219/10373/8275 +f 9221/10375/8277 9229/10384/8285 9228/10383/8284 9220/10374/8276 +f 9222/10376/8278 9230/10385/8286 9229/10384/8285 9221/10375/8277 +f 9223/10377/8279 9231/10386/8287 9230/10385/8286 9222/10376/8278 +f 9224/10370/8273 9232/10379/8281 9231/10386/8287 9223/10377/8279 +f 9225/10378/8280 9233/10387/8288 9240/10388/8289 9232/10379/8281 +f 9226/10380/8282 9234/10389/8290 9233/10390/8288 9225/10381/8280 +f 9227/10382/8283 9235/10391/8291 9234/10389/8290 9226/10380/8282 +f 9228/10383/8284 9236/10392/8292 9235/10391/8291 9227/10382/8283 +f 9229/10384/8285 9237/10393/8293 9236/10392/8292 9228/10383/8284 +f 9230/10385/8286 9238/10394/8294 9237/10393/8293 9229/10384/8285 +f 9231/10386/8287 9239/10395/8295 9238/10394/8294 9230/10385/8286 +f 9232/10379/8281 9240/10388/8289 9239/10395/8295 9231/10386/8287 +f 9233/10387/8288 9241/10396/8296 9248/10397/8297 9240/10388/8289 +f 9234/10389/8290 9242/10398/8298 9241/10399/8296 9233/10390/8288 +f 9235/10391/8291 9243/10400/8299 9242/10398/8298 9234/10389/8290 +f 9236/10392/8292 9244/10401/8300 9243/10400/8299 9235/10391/8291 +f 9237/10393/8293 9245/10402/8301 9244/10401/8300 9236/10392/8292 +f 9238/10394/8294 9246/10403/8302 9245/10402/8301 9237/10393/8293 +f 9239/10395/8295 9247/10404/8303 9246/10403/8302 9238/10394/8294 +f 9240/10388/8289 9248/10397/8297 9247/10404/8303 9239/10395/8295 +f 9241/10396/8296 9249/10405/8304 9256/10406/8305 9248/10397/8297 +f 9242/10398/8298 9250/10407/8306 9249/10408/8304 9241/10399/8296 +f 9243/10400/8299 9251/10409/8307 9250/10407/8306 9242/10398/8298 +f 9244/10401/8300 9252/10410/8308 9251/10409/8307 9243/10400/8299 +f 9245/10402/8301 9253/10411/8309 9252/10410/8308 9244/10401/8300 +f 9246/10403/8302 9254/10412/8310 9253/10411/8309 9245/10402/8301 +f 9247/10404/8303 9255/10413/8311 9254/10412/8310 9246/10403/8302 +f 9248/10397/8297 9256/10406/8305 9255/10413/8311 9247/10404/8303 +f 9249/10405/8304 9257/10414/8312 9264/10415/8313 9256/10406/8305 +f 9250/10407/8306 9258/10416/8314 9257/10417/8312 9249/10408/8304 +f 9251/10409/8307 9259/10418/8315 9258/10416/8314 9250/10407/8306 +f 9252/10410/8308 9260/10419/8316 9259/10418/8315 9251/10409/8307 +f 9253/10411/8309 9261/10420/8317 9260/10419/8316 9252/10410/8308 +f 9254/10412/8310 9262/10421/8318 9261/10420/8317 9253/10411/8309 +f 9255/10413/8311 9263/10422/8319 9262/10421/8318 9254/10412/8310 +f 9256/10406/8305 9264/10415/8313 9263/10422/8319 9255/10413/8311 +f 9265/10423/8320 9273/10424/8320 9280/10425/8321 9272/10426/8321 +f 9266/10427/8322 9274/10428/8323 9273/10429/8320 9265/10430/8320 +f 9267/10431/8324 9275/10432/8325 9274/10428/8323 9266/10427/8322 +f 9268/10433/8326 9276/10434/8326 9275/10432/8325 9267/10431/8324 +f 9269/10435/8327 9277/10436/8327 9276/10434/8326 9268/10433/8326 +f 9270/10437/8328 9278/10438/8328 9277/10436/8327 9269/10435/8327 +f 9271/10439/8329 9279/10440/8329 9278/10438/8328 9270/10437/8328 +f 9272/10426/8321 9280/10425/8321 9279/10440/8329 9271/10439/8329 +f 9273/10424/8320 9281/10441/8330 9288/10442/8331 9280/10425/8321 +f 9274/10428/8323 9282/10443/8332 9281/10444/8330 9273/10429/8320 +f 9275/10432/8325 9283/10445/8333 9282/10443/8332 9274/10428/8323 +f 9276/10434/8326 9284/10446/8334 9283/10445/8333 9275/10432/8325 +f 9277/10436/8327 9285/10447/8335 9284/10446/8334 9276/10434/8326 +f 9278/10438/8328 9286/10448/8336 9285/10447/8335 9277/10436/8327 +f 9279/10440/8329 9287/10449/8337 9286/10448/8336 9278/10438/8328 +f 9280/10425/8321 9288/10442/8331 9287/10449/8337 9279/10440/8329 +f 9281/10441/8330 9289/10450/8338 9296/10451/8339 9288/10442/8331 +f 9282/10443/8332 9290/10452/8340 9289/10453/8338 9281/10444/8330 +f 9283/10445/8333 9291/10454/8341 9290/10452/8340 9282/10443/8332 +f 9284/10446/8334 9292/10455/8342 9291/10454/8341 9283/10445/8333 +f 9285/10447/8335 9293/10456/8343 9292/10455/8342 9284/10446/8334 +f 9286/10448/8336 9294/10457/8344 9293/10456/8343 9285/10447/8335 +f 9287/10449/8337 9295/10458/8345 9294/10457/8344 9286/10448/8336 +f 9288/10442/8331 9296/10451/8339 9295/10458/8345 9287/10449/8337 +f 9289/10450/8338 9297/10459/8346 9304/10460/8347 9296/10451/8339 +f 9290/10452/8340 9298/10461/8348 9297/10462/8346 9289/10453/8338 +f 9291/10454/8341 9299/10463/8349 9298/10461/8348 9290/10452/8340 +f 9292/10455/8342 9300/10464/8350 9299/10463/8349 9291/10454/8341 +f 9293/10456/8343 9301/10465/8351 9300/10464/8350 9292/10455/8342 +f 9294/10457/8344 9302/10466/8352 9301/10465/8351 9293/10456/8343 +f 9295/10458/8345 9303/10467/8353 9302/10466/8352 9294/10457/8344 +f 9296/10451/8339 9304/10460/8347 9303/10467/8353 9295/10458/8345 +f 9297/10459/8346 9305/10468/8354 9312/10469/8355 9304/10460/8347 +f 9298/10461/8348 9306/10470/8356 9305/10471/8354 9297/10462/8346 +f 9299/10463/8349 9307/10472/8357 9306/10470/8356 9298/10461/8348 +f 9300/10464/8350 9308/10473/8358 9307/10472/8357 9299/10463/8349 +f 9301/10465/8351 9309/10474/8359 9308/10473/8358 9300/10464/8350 +f 9302/10466/8352 9310/10475/8360 9309/10474/8359 9301/10465/8351 +f 9303/10467/8353 9311/10476/8361 9310/10475/8360 9302/10466/8352 +f 9304/10460/8347 9312/10469/8355 9311/10476/8361 9303/10467/8353 +f 9305/10468/8354 9313/10477/8362 9320/10478/8363 9312/10469/8355 +f 9306/10470/8356 9314/10479/8364 9313/10480/8362 9305/10471/8354 +f 9307/10472/8357 9315/10481/8365 9314/10479/8364 9306/10470/8356 +f 9308/10473/8358 9316/10482/8366 9315/10481/8365 9307/10472/8357 +f 9309/10474/8359 9317/10483/8367 9316/10482/8366 9308/10473/8358 +f 9310/10475/8360 9318/10484/8368 9317/10483/8367 9309/10474/8359 +f 9311/10476/8361 9319/10485/8369 9318/10484/8368 9310/10475/8360 +f 9312/10469/8355 9320/10478/8363 9319/10485/8369 9311/10476/8361 +f 9313/10477/8362 9321/10486/8370 9328/10487/8371 9320/10478/8363 +f 9314/10479/8364 9322/10488/8348 9321/10489/8370 9313/10480/8362 +f 9315/10481/8365 9323/10490/8349 9322/10488/8348 9314/10479/8364 +f 9316/10482/8366 9324/10491/8350 9323/10490/8349 9315/10481/8365 +f 9317/10483/8367 9325/10492/8351 9324/10491/8350 9316/10482/8366 +f 9318/10484/8368 9326/10493/8372 9325/10492/8351 9317/10483/8367 +f 9319/10485/8369 9327/10494/8373 9326/10493/8372 9318/10484/8368 +f 9320/10478/8363 9328/10487/8371 9327/10494/8373 9319/10485/8369 +f 9321/10486/8370 9329/10495/8354 9336/10496/8374 9328/10487/8371 +f 9322/10488/8348 9330/10497/8356 9329/10498/8354 9321/10489/8370 +f 9323/10490/8349 9331/10499/8375 9330/10497/8356 9322/10488/8348 +f 9324/10491/8350 9332/10500/8376 9331/10499/8375 9323/10490/8349 +f 9325/10492/8351 9333/10501/8377 9332/10500/8376 9324/10491/8350 +f 9326/10493/8372 9334/10502/8378 9333/10501/8377 9325/10492/8351 +f 9327/10494/8373 9335/10503/8379 9334/10502/8378 9326/10493/8372 +f 9328/10487/8371 9336/10496/8374 9335/10503/8379 9327/10494/8373 +f 9329/10495/8354 9337/10504/8380 9344/10505/8381 9336/10496/8374 +f 9330/10497/8356 9338/10506/8364 9337/10507/8380 9329/10498/8354 +f 9331/10499/8375 9339/10508/8382 9338/10506/8364 9330/10497/8356 +f 9332/10500/8376 9340/10509/8383 9339/10508/8382 9331/10499/8375 +f 9333/10501/8377 9341/10510/8384 9340/10509/8383 9332/10500/8376 +f 9334/10502/8378 9342/10511/8385 9341/10510/8384 9333/10501/8377 +f 9335/10503/8379 9343/10512/8386 9342/10511/8385 9334/10502/8378 +f 9336/10496/8374 9344/10505/8381 9343/10512/8386 9335/10503/8379 +f 9345/10513/8387 9353/10514/8387 9360/10515/8388 9352/10516/8388 +f 9346/10517/8389 9354/10518/8389 9353/10519/8387 9345/10520/8387 +f 9347/10521/8390 9355/10522/8391 9354/10518/8389 9346/10517/8389 +f 9348/10523/8392 9356/10524/8392 9355/10522/8391 9347/10521/8390 +f 9349/10525/8393 9357/10526/8393 9356/10524/8392 9348/10523/8392 +f 9350/10527/8394 9358/10528/8394 9357/10526/8393 9349/10525/8393 +f 9351/10529/8395 9359/10530/8395 9358/10528/8394 9350/10527/8394 +f 9352/10516/8388 9360/10515/8388 9359/10530/8395 9351/10529/8395 +f 9353/10514/8387 9361/10531/8396 9368/10532/8397 9360/10515/8388 +f 9354/10518/8389 9362/10533/8398 9361/10534/8396 9353/10519/8387 +f 9355/10522/8391 9363/10535/8399 9362/10533/8398 9354/10518/8389 +f 9356/10524/8392 9364/10536/8400 9363/10535/8399 9355/10522/8391 +f 9357/10526/8393 9365/10537/8401 9364/10536/8400 9356/10524/8392 +f 9358/10528/8394 9366/10538/8402 9365/10537/8401 9357/10526/8393 +f 9359/10530/8395 9367/10539/8403 9366/10538/8402 9358/10528/8394 +f 9360/10515/8388 9368/10532/8397 9367/10539/8403 9359/10530/8395 +f 9361/10531/8396 9369/10540/8404 9376/10541/8405 9368/10532/8397 +f 9362/10533/8398 9370/10542/8406 9369/10543/8404 9361/10534/8396 +f 9363/10535/8399 9371/10544/8407 9370/10542/8406 9362/10533/8398 +f 9364/10536/8400 9372/10545/8408 9371/10544/8407 9363/10535/8399 +f 9365/10537/8401 9373/10546/8409 9372/10545/8408 9364/10536/8400 +f 9366/10538/8402 9374/10547/8410 9373/10546/8409 9365/10537/8401 +f 9367/10539/8403 9375/10548/8411 9374/10547/8410 9366/10538/8402 +f 9368/10532/8397 9376/10541/8405 9375/10548/8411 9367/10539/8403 +f 9369/10540/8404 9377/10549/8412 9384/10550/8413 9376/10541/8405 +f 9370/10542/8406 9378/10551/8414 9377/10552/8412 9369/10543/8404 +f 9371/10544/8407 9379/10553/8415 9378/10551/8414 9370/10542/8406 +f 9372/10545/8408 9380/10554/8416 9379/10553/8415 9371/10544/8407 +f 9373/10546/8409 9381/10555/8417 9380/10554/8416 9372/10545/8408 +f 9374/10547/8410 9382/10556/8418 9381/10555/8417 9373/10546/8409 +f 9375/10548/8411 9383/10557/8419 9382/10556/8418 9374/10547/8410 +f 9376/10541/8405 9384/10550/8413 9383/10557/8419 9375/10548/8411 +f 9377/10549/8412 9385/10558/8420 9392/10559/8421 9384/10550/8413 +f 9378/10551/8414 9386/10560/8422 9385/10561/8420 9377/10552/8412 +f 9379/10553/8415 9387/10562/8423 9386/10560/8422 9378/10551/8414 +f 9380/10554/8416 9388/10563/8424 9387/10562/8423 9379/10553/8415 +f 9381/10555/8417 9389/10564/8425 9388/10563/8424 9380/10554/8416 +f 9382/10556/8418 9390/10565/8426 9389/10564/8425 9381/10555/8417 +f 9383/10557/8419 9391/10566/8427 9390/10565/8426 9382/10556/8418 +f 9384/10550/8413 9392/10559/8421 9391/10566/8427 9383/10557/8419 +f 9385/10558/8420 9393/10567/8428 9400/10568/8429 9392/10559/8421 +f 9386/10560/8422 9394/10569/8430 9393/10570/8428 9385/10561/8420 +f 9387/10562/8423 9395/10571/8431 9394/10569/8430 9386/10560/8422 +f 9388/10563/8424 9396/10572/8432 9395/10571/8431 9387/10562/8423 +f 9389/10564/8425 9397/10573/8433 9396/10572/8432 9388/10563/8424 +f 9390/10565/8426 9398/10574/8434 9397/10573/8433 9389/10564/8425 +f 9391/10566/8427 9399/10575/8435 9398/10574/8434 9390/10565/8426 +f 9392/10559/8421 9400/10568/8429 9399/10575/8435 9391/10566/8427 +f 9393/10567/8428 9401/10576/8436 9408/10577/8413 9400/10568/8429 +f 9394/10569/8430 9402/10578/8414 9401/10579/8436 9393/10570/8428 +f 9395/10571/8431 9403/10580/8437 9402/10578/8414 9394/10569/8430 +f 9396/10572/8432 9404/10581/8416 9403/10580/8437 9395/10571/8431 +f 9397/10573/8433 9405/10582/8438 9404/10581/8416 9396/10572/8432 +f 9398/10574/8434 9406/10583/8439 9405/10582/8438 9397/10573/8433 +f 9399/10575/8435 9407/10584/8440 9406/10583/8439 9398/10574/8434 +f 9400/10568/8429 9408/10577/8413 9407/10584/8440 9399/10575/8435 +f 9401/10576/8436 9409/10585/8441 9416/10586/8442 9408/10577/8413 +f 9402/10578/8414 9410/10587/8443 9409/10588/8441 9401/10579/8436 +f 9403/10580/8437 9411/10589/8444 9410/10587/8443 9402/10578/8414 +f 9404/10581/8416 9412/10590/8445 9411/10589/8444 9403/10580/8437 +f 9405/10582/8438 9413/10591/8446 9412/10590/8445 9404/10581/8416 +f 9406/10583/8439 9414/10592/8447 9413/10591/8446 9405/10582/8438 +f 9407/10584/8440 9415/10593/8448 9414/10592/8447 9406/10583/8439 +f 9408/10577/8413 9416/10586/8442 9415/10593/8448 9407/10584/8440 +f 9409/10585/8441 9417/10594/8449 9424/10595/8450 9416/10586/8442 +f 9410/10587/8443 9418/10596/8451 9417/10597/8449 9409/10588/8441 +f 9411/10589/8444 9419/10598/8452 9418/10596/8451 9410/10587/8443 +f 9412/10590/8445 9420/10599/8432 9419/10598/8452 9411/10589/8444 +f 9413/10591/8446 9421/10600/8433 9420/10599/8432 9412/10590/8445 +f 9414/10592/8447 9422/10601/8453 9421/10600/8433 9413/10591/8446 +f 9415/10593/8448 9423/10602/8454 9422/10601/8453 9414/10592/8447 +f 9416/10586/8442 9424/10595/8450 9423/10602/8454 9415/10593/8448 +f 9425/10603/8455 9433/10604/8456 9440/10605/8457 9432/10606/8457 +f 9426/10607/8458 9434/10608/8458 9433/10609/8456 9425/10610/8455 +f 9427/10611/8459 9435/10612/8459 9434/10608/8458 9426/10607/8458 +f 9428/10613/8460 9436/10614/8460 9435/10612/8459 9427/10611/8459 +f 9429/10615/8461 9437/10616/8461 9436/10614/8460 9428/10613/8460 +f 9430/10617/8462 9438/10618/8462 9437/10616/8461 9429/10615/8461 +f 9431/10619/8463 9439/10620/8463 9438/10618/8462 9430/10617/8462 +f 9432/10606/8457 9440/10605/8457 9439/10620/8463 9431/10619/8463 +f 9433/10604/8456 9441/10621/8464 9448/10622/8465 9440/10605/8457 +f 9434/10608/8458 9442/10623/8466 9441/10624/8464 9433/10609/8456 +f 9435/10612/8459 9443/10625/8467 9442/10623/8466 9434/10608/8458 +f 9436/10614/8460 9444/10626/8468 9443/10625/8467 9435/10612/8459 +f 9437/10616/8461 9445/10627/8469 9444/10626/8468 9436/10614/8460 +f 9438/10618/8462 9446/10628/8470 9445/10627/8469 9437/10616/8461 +f 9439/10620/8463 9447/10629/8471 9446/10628/8470 9438/10618/8462 +f 9440/10605/8457 9448/10622/8465 9447/10629/8471 9439/10620/8463 +f 9441/10621/8464 9449/10630/8472 9456/10631/8473 9448/10622/8465 +f 9442/10623/8466 9450/10632/8474 9449/10633/8472 9441/10624/8464 +f 9443/10625/8467 9451/10634/8475 9450/10632/8474 9442/10623/8466 +f 9444/10626/8468 9452/10635/8476 9451/10634/8475 9443/10625/8467 +f 9445/10627/8469 9453/10636/8477 9452/10635/8476 9444/10626/8468 +f 9446/10628/8470 9454/10637/8478 9453/10636/8477 9445/10627/8469 +f 9447/10629/8471 9455/10638/8479 9454/10637/8478 9446/10628/8470 +f 9448/10622/8465 9456/10631/8473 9455/10638/8479 9447/10629/8471 +f 9449/10630/8472 9457/10639/8480 9464/10640/8481 9456/10631/8473 +f 9450/10632/8474 9458/10641/8482 9457/10642/8480 9449/10633/8472 +f 9451/10634/8475 9459/10643/8483 9458/10641/8482 9450/10632/8474 +f 9452/10635/8476 9460/10644/8484 9459/10643/8483 9451/10634/8475 +f 9453/10636/8477 9461/10645/8485 9460/10644/8484 9452/10635/8476 +f 9454/10637/8478 9462/10646/8486 9461/10645/8485 9453/10636/8477 +f 9455/10638/8479 9463/10647/8487 9462/10646/8486 9454/10637/8478 +f 9456/10631/8473 9464/10640/8481 9463/10647/8487 9455/10638/8479 +f 9457/10639/8480 9465/10648/8488 9472/10649/8489 9464/10640/8481 +f 9458/10641/8482 9466/10650/8490 9465/10651/8488 9457/10642/8480 +f 9459/10643/8483 9467/10652/8491 9466/10650/8490 9458/10641/8482 +f 9460/10644/8484 9468/10653/8492 9467/10652/8491 9459/10643/8483 +f 9461/10645/8485 9469/10654/8493 9468/10653/8492 9460/10644/8484 +f 9462/10646/8486 9470/10655/8494 9469/10654/8493 9461/10645/8485 +f 9463/10647/8487 9471/10656/8495 9470/10655/8494 9462/10646/8486 +f 9464/10640/8481 9472/10649/8489 9471/10656/8495 9463/10647/8487 +f 9465/10648/8488 9473/10657/8496 9480/10658/8497 9472/10649/8489 +f 9466/10650/8490 9474/10659/8498 9473/10660/8496 9465/10651/8488 +f 9467/10652/8491 9475/10661/8499 9474/10659/8498 9466/10650/8490 +f 9468/10653/8492 9476/10662/8500 9475/10661/8499 9467/10652/8491 +f 9469/10654/8493 9477/10663/8501 9476/10662/8500 9468/10653/8492 +f 9470/10655/8494 9478/10664/8502 9477/10663/8501 9469/10654/8493 +f 9471/10656/8495 9479/10665/8503 9478/10664/8502 9470/10655/8494 +f 9472/10649/8489 9480/10658/8497 9479/10665/8503 9471/10656/8495 +f 9473/10657/8496 9481/10666/8504 9488/10667/8481 9480/10658/8497 +f 9474/10659/8498 9482/10668/8482 9481/10669/8504 9473/10660/8496 +f 9475/10661/8499 9483/10670/8483 9482/10668/8482 9474/10659/8498 +f 9476/10662/8500 9484/10671/8505 9483/10670/8483 9475/10661/8499 +f 9477/10663/8501 9485/10672/8485 9484/10671/8505 9476/10662/8500 +f 9478/10664/8502 9486/10673/8486 9485/10672/8485 9477/10663/8501 +f 9479/10665/8503 9487/10674/8506 9486/10673/8486 9478/10664/8502 +f 9480/10658/8497 9488/10667/8481 9487/10674/8506 9479/10665/8503 +f 9481/10666/8504 9489/10675/8507 9496/10676/8508 9488/10667/8481 +f 9482/10668/8482 9490/10677/8509 9489/10678/8507 9481/10669/8504 +f 9483/10670/8483 9491/10679/8510 9490/10677/8509 9482/10668/8482 +f 9484/10671/8505 9492/10680/8511 9491/10679/8510 9483/10670/8483 +f 9485/10672/8485 9493/10681/8493 9492/10680/8511 9484/10671/8505 +f 9486/10673/8486 9494/10682/8512 9493/10681/8493 9485/10672/8485 +f 9487/10674/8506 9495/10683/8495 9494/10682/8512 9486/10673/8486 +f 9488/10667/8481 9496/10676/8508 9495/10683/8495 9487/10674/8506 +f 9489/10675/8507 9497/10684/8513 9504/10685/8514 9496/10676/8508 +f 9490/10677/8509 9498/10686/8515 9497/10687/8513 9489/10678/8507 +f 9491/10679/8510 9499/10688/8516 9498/10686/8515 9490/10677/8509 +f 9492/10680/8511 9500/10689/8517 9499/10688/8516 9491/10679/8510 +f 9493/10681/8493 9501/10690/8518 9500/10689/8517 9492/10680/8511 +f 9494/10682/8512 9502/10691/8519 9501/10690/8518 9493/10681/8493 +f 9495/10683/8495 9503/10692/8520 9502/10691/8519 9494/10682/8512 +f 9496/10676/8508 9504/10685/8514 9503/10692/8520 9495/10683/8495 +f 9505/10693/8521 9513/10694/8521 9520/10695/8522 9512/10696/8522 +f 9506/10697/8523 9514/10698/8523 9513/10699/8521 9505/10700/8521 +f 9507/10701/8524 9515/10702/8524 9514/10698/8523 9506/10697/8523 +f 9508/10703/8525 9516/10704/8525 9515/10702/8524 9507/10701/8524 +f 9509/10705/8526 9517/10706/8527 9516/10704/8525 9508/10703/8525 +f 9510/10707/8528 9518/10708/8529 9517/10706/8527 9509/10705/8526 +f 9511/10709/8530 9519/10710/8530 9518/10708/8529 9510/10707/8528 +f 9512/10696/8522 9520/10695/8522 9519/10710/8530 9511/10709/8530 +f 9513/10694/8521 9521/10711/8531 9528/10712/8532 9520/10695/8522 +f 9514/10698/8523 9522/10713/8533 9521/10714/8531 9513/10699/8521 +f 9515/10702/8524 9523/10715/8534 9522/10713/8533 9514/10698/8523 +f 9516/10704/8525 9524/10716/8535 9523/10715/8534 9515/10702/8524 +f 9517/10706/8527 9525/10717/8536 9524/10716/8535 9516/10704/8525 +f 9518/10708/8529 9526/10718/8537 9525/10717/8536 9517/10706/8527 +f 9519/10710/8530 9527/10719/8538 9526/10718/8537 9518/10708/8529 +f 9520/10695/8522 9528/10712/8532 9527/10719/8538 9519/10710/8530 +f 9521/10711/8531 9529/10720/8539 9536/10721/8540 9528/10712/8532 +f 9522/10713/8533 9530/10722/8541 9529/10723/8539 9521/10714/8531 +f 9523/10715/8534 9531/10724/8542 9530/10722/8541 9522/10713/8533 +f 9524/10716/8535 9532/10725/8543 9531/10724/8542 9523/10715/8534 +f 9525/10717/8536 9533/10726/8544 9532/10725/8543 9524/10716/8535 +f 9526/10718/8537 9534/10727/8545 9533/10726/8544 9525/10717/8536 +f 9527/10719/8538 9535/10728/8546 9534/10727/8545 9526/10718/8537 +f 9528/10712/8532 9536/10721/8540 9535/10728/8546 9527/10719/8538 +f 9529/10720/8539 9537/10729/8547 9544/10730/8548 9536/10721/8540 +f 9530/10722/8541 9538/10731/8549 9537/10732/8547 9529/10723/8539 +f 9531/10724/8542 9539/10733/8550 9538/10731/8549 9530/10722/8541 +f 9532/10725/8543 9540/10734/8551 9539/10733/8550 9531/10724/8542 +f 9533/10726/8544 9541/10735/8552 9540/10734/8551 9532/10725/8543 +f 9534/10727/8545 9542/10736/8553 9541/10735/8552 9533/10726/8544 +f 9535/10728/8546 9543/10737/8554 9542/10736/8553 9534/10727/8545 +f 9536/10721/8540 9544/10730/8548 9543/10737/8554 9535/10728/8546 +f 9537/10729/8547 9545/10738/8555 9552/10739/8556 9544/10730/8548 +f 9538/10731/8549 9546/10740/8557 9545/10741/8555 9537/10732/8547 +f 9539/10733/8550 9547/10742/8558 9546/10740/8557 9538/10731/8549 +f 9540/10734/8551 9548/10743/8559 9547/10742/8558 9539/10733/8550 +f 9541/10735/8552 9549/10744/8560 9548/10743/8559 9540/10734/8551 +f 9542/10736/8553 9550/10745/8561 9549/10744/8560 9541/10735/8552 +f 9543/10737/8554 9551/10746/8562 9550/10745/8561 9542/10736/8553 +f 9544/10730/8548 9552/10739/8556 9551/10746/8562 9543/10737/8554 +f 9545/10738/8555 9553/10747/8563 9560/10748/8564 9552/10739/8556 +f 9546/10740/8557 9554/10749/8565 9553/10750/8563 9545/10741/8555 +f 9547/10742/8558 9555/10751/8566 9554/10749/8565 9546/10740/8557 +f 9548/10743/8559 9556/10752/8567 9555/10751/8566 9547/10742/8558 +f 9549/10744/8560 9557/10753/8568 9556/10752/8567 9548/10743/8559 +f 9550/10745/8561 9558/10754/8569 9557/10753/8568 9549/10744/8560 +f 9551/10746/8562 9559/10755/8570 9558/10754/8569 9550/10745/8561 +f 9552/10739/8556 9560/10748/8564 9559/10755/8570 9551/10746/8562 +f 9553/10747/8563 9561/10756/8547 9568/10757/8571 9560/10748/8564 +f 9554/10749/8565 9562/10758/8549 9561/10759/8547 9553/10750/8563 +f 9555/10751/8566 9563/10760/8550 9562/10758/8549 9554/10749/8565 +f 9556/10752/8567 9564/10761/8551 9563/10760/8550 9555/10751/8566 +f 9557/10753/8568 9565/10762/8572 9564/10761/8551 9556/10752/8567 +f 9558/10754/8569 9566/10763/8553 9565/10762/8572 9557/10753/8568 +f 9559/10755/8570 9567/10764/8573 9566/10763/8553 9558/10754/8569 +f 9560/10748/8564 9568/10757/8571 9567/10764/8573 9559/10755/8570 +f 9561/10756/8547 9569/10765/8574 9576/10766/8575 9568/10757/8571 +f 9562/10758/8549 9570/10767/8576 9569/10768/8574 9561/10759/8547 +f 9563/10760/8550 9571/10769/8577 9570/10767/8576 9562/10758/8549 +f 9564/10761/8551 9572/10770/8578 9571/10769/8577 9563/10760/8550 +f 9565/10762/8572 9573/10771/8579 9572/10770/8578 9564/10761/8551 +f 9566/10763/8553 9574/10772/8561 9573/10771/8579 9565/10762/8572 +f 9567/10764/8573 9575/10773/8580 9574/10772/8561 9566/10763/8553 +f 9568/10757/8571 9576/10766/8575 9575/10773/8580 9567/10764/8573 +f 9569/10765/8574 9577/10774/8581 9584/10775/8582 9576/10766/8575 +f 9570/10767/8576 9578/10776/8583 9577/10777/8581 9569/10768/8574 +f 9571/10769/8577 9579/10778/8584 9578/10776/8583 9570/10767/8576 +f 9572/10770/8578 9580/10779/8585 9579/10778/8584 9571/10769/8577 +f 9573/10771/8579 9581/10780/8586 9580/10779/8585 9572/10770/8578 +f 9574/10772/8561 9582/10781/8587 9581/10780/8586 9573/10771/8579 +f 9575/10773/8580 9583/10782/8588 9582/10781/8587 9574/10772/8561 +f 9576/10766/8575 9584/10775/8582 9583/10782/8588 9575/10773/8580 +f 9585/10783/8589 9593/10784/8589 9600/10785/8590 9592/10786/8591 +f 9586/10787/8592 9594/10788/8592 9593/10789/8589 9585/10790/8589 +f 9587/10791/8593 9595/10792/8593 9594/10788/8592 9586/10787/8592 +f 9588/10793/8594 9596/10794/8595 9595/10792/8593 9587/10791/8593 +f 9589/10795/8596 9597/10796/8596 9596/10794/8595 9588/10793/8594 +f 9590/10797/8597 9598/10798/8597 9597/10796/8596 9589/10795/8596 +f 9591/10799/8598 9599/10800/8599 9598/10798/8597 9590/10797/8597 +f 9592/10786/8591 9600/10785/8590 9599/10800/8599 9591/10799/8598 +f 9593/10784/8589 9601/10801/8600 9608/10802/8601 9600/10785/8590 +f 9594/10788/8592 9602/10803/8602 9601/10804/8600 9593/10789/8589 +f 9595/10792/8593 9603/10805/8603 9602/10803/8602 9594/10788/8592 +f 9596/10794/8595 9604/10806/8604 9603/10805/8603 9595/10792/8593 +f 9597/10796/8596 9605/10807/8605 9604/10806/8604 9596/10794/8595 +f 9598/10798/8597 9606/10808/8606 9605/10807/8605 9597/10796/8596 +f 9599/10800/8599 9607/10809/8607 9606/10808/8606 9598/10798/8597 +f 9600/10785/8590 9608/10802/8601 9607/10809/8607 9599/10800/8599 +f 9601/10801/8600 9609/10810/8608 9616/10811/8609 9608/10802/8601 +f 9602/10803/8602 9610/10812/8610 9609/10813/8608 9601/10804/8600 +f 9603/10805/8603 9611/10814/8611 9610/10812/8610 9602/10803/8602 +f 9604/10806/8604 9612/10815/8612 9611/10814/8611 9603/10805/8603 +f 9605/10807/8605 9613/10816/8613 9612/10815/8612 9604/10806/8604 +f 9606/10808/8606 9614/10817/8614 9613/10816/8613 9605/10807/8605 +f 9607/10809/8607 9615/10818/8615 9614/10817/8614 9606/10808/8606 +f 9608/10802/8601 9616/10811/8609 9615/10818/8615 9607/10809/8607 +f 9609/10810/8608 9617/10819/8616 9624/10820/8617 9616/10811/8609 +f 9610/10812/8610 9618/10821/8618 9617/10822/8616 9609/10813/8608 +f 9611/10814/8611 9619/10823/8619 9618/10821/8618 9610/10812/8610 +f 9612/10815/8612 9620/10824/8620 9619/10823/8619 9611/10814/8611 +f 9613/10816/8613 9621/10825/8621 9620/10824/8620 9612/10815/8612 +f 9614/10817/8614 9622/10826/8622 9621/10825/8621 9613/10816/8613 +f 9615/10818/8615 9623/10827/8623 9622/10826/8622 9614/10817/8614 +f 9616/10811/8609 9624/10820/8617 9623/10827/8623 9615/10818/8615 +f 9617/10819/8616 9625/10828/8624 9632/10829/8625 9624/10820/8617 +f 9618/10821/8618 9626/10830/8626 9625/10831/8624 9617/10822/8616 +f 9619/10823/8619 9627/10832/8627 9626/10830/8626 9618/10821/8618 +f 9620/10824/8620 9628/10833/8628 9627/10832/8627 9619/10823/8619 +f 9621/10825/8621 9629/10834/8629 9628/10833/8628 9620/10824/8620 +f 9622/10826/8622 9630/10835/8630 9629/10834/8629 9621/10825/8621 +f 9623/10827/8623 9631/10836/8631 9630/10835/8630 9622/10826/8622 +f 9624/10820/8617 9632/10829/8625 9631/10836/8631 9623/10827/8623 +f 9625/10828/8624 9633/10837/8632 9640/10838/8633 9632/10829/8625 +f 9626/10830/8626 9634/10839/8634 9633/10840/8632 9625/10831/8624 +f 9627/10832/8627 9635/10841/8635 9634/10839/8634 9626/10830/8626 +f 9628/10833/8628 9636/10842/8636 9635/10841/8635 9627/10832/8627 +f 9629/10834/8629 9637/10843/8637 9636/10842/8636 9628/10833/8628 +f 9630/10835/8630 9638/10844/8638 9637/10843/8637 9629/10834/8629 +f 9631/10836/8631 9639/10845/8639 9638/10844/8638 9630/10835/8630 +f 9632/10829/8625 9640/10838/8633 9639/10845/8639 9631/10836/8631 +f 9633/10837/8632 9641/10846/8640 9648/10847/8641 9640/10838/8633 +f 9634/10839/8634 9642/10848/8642 9641/10849/8640 9633/10840/8632 +f 9635/10841/8635 9643/10850/8643 9642/10848/8642 9634/10839/8634 +f 9636/10842/8636 9644/10851/8644 9643/10850/8643 9635/10841/8635 +f 9637/10843/8637 9645/10852/8645 9644/10851/8644 9636/10842/8636 +f 9638/10844/8638 9646/10853/8646 9645/10852/8645 9637/10843/8637 +f 9639/10845/8639 9647/10854/8647 9646/10853/8646 9638/10844/8638 +f 9640/10838/8633 9648/10847/8641 9647/10854/8647 9639/10845/8639 +f 9641/10846/8640 9649/10855/8648 9656/10856/8625 9648/10847/8641 +f 9642/10848/8642 9650/10857/8649 9649/10858/8648 9641/10849/8640 +f 9643/10850/8643 9651/10859/8650 9650/10857/8649 9642/10848/8642 +f 9644/10851/8644 9652/10860/8651 9651/10859/8650 9643/10850/8643 +f 9645/10852/8645 9653/10861/8652 9652/10860/8651 9644/10851/8644 +f 9646/10853/8646 9654/10862/8653 9653/10861/8652 9645/10852/8645 +f 9647/10854/8647 9655/10863/8654 9654/10862/8653 9646/10853/8646 +f 9648/10847/8641 9656/10856/8625 9655/10863/8654 9647/10854/8647 +f 9649/10855/8648 9657/10864/8655 9664/10865/8656 9656/10856/8625 +f 9650/10857/8649 9658/10866/8634 9657/10867/8655 9649/10858/8648 +f 9651/10859/8650 9659/10868/8657 9658/10866/8634 9650/10857/8649 +f 9652/10860/8651 9660/10869/8658 9659/10868/8657 9651/10859/8650 +f 9653/10861/8652 9661/10870/8637 9660/10869/8658 9652/10860/8651 +f 9654/10862/8653 9662/10871/8659 9661/10870/8637 9653/10861/8652 +f 9655/10863/8654 9663/10872/8660 9662/10871/8659 9654/10862/8653 +f 9656/10856/8625 9664/10865/8656 9663/10872/8660 9655/10863/8654 +f 9665/10873/8661 9673/10874/8662 9680/10875/8663 9672/10876/8663 +f 9666/10877/8664 9674/10878/8665 9673/10879/8662 9665/10880/8661 +f 9667/10881/8666 9675/10882/8667 9674/10878/8665 9666/10877/8664 +f 9668/10883/8668 9676/10884/8668 9675/10882/8667 9667/10881/8666 +f 9669/10885/8669 9677/10886/8670 9676/10884/8668 9668/10883/8668 +f 9670/10887/8671 9678/10888/8671 9677/10886/8670 9669/10885/8669 +f 9671/10889/8672 9679/10890/8672 9678/10888/8671 9670/10887/8671 +f 9672/10876/8663 9680/10875/8663 9679/10890/8672 9671/10889/8672 +f 9673/10874/8662 9681/10891/8673 9688/10892/8674 9680/10875/8663 +f 9674/10878/8665 9682/10893/8675 9681/10894/8673 9673/10879/8662 +f 9675/10882/8667 9683/10895/8676 9682/10893/8675 9674/10878/8665 +f 9676/10884/8668 9684/10896/8677 9683/10895/8676 9675/10882/8667 +f 9677/10886/8670 9685/10897/8678 9684/10896/8677 9676/10884/8668 +f 9678/10888/8671 9686/10898/8679 9685/10897/8678 9677/10886/8670 +f 9679/10890/8672 9687/10899/8680 9686/10898/8679 9678/10888/8671 +f 9680/10875/8663 9688/10892/8674 9687/10899/8680 9679/10890/8672 +f 9681/10891/8673 9689/10900/8681 9696/10901/8682 9688/10892/8674 +f 9682/10893/8675 9690/10902/8683 9689/10903/8681 9681/10894/8673 +f 9683/10895/8676 9691/10904/8684 9690/10902/8683 9682/10893/8675 +f 9684/10896/8677 9692/10905/8685 9691/10904/8684 9683/10895/8676 +f 9685/10897/8678 9693/10906/8686 9692/10905/8685 9684/10896/8677 +f 9686/10898/8679 9694/10907/8687 9693/10906/8686 9685/10897/8678 +f 9687/10899/8680 9695/10908/8688 9694/10907/8687 9686/10898/8679 +f 9688/10892/8674 9696/10901/8682 9695/10908/8688 9687/10899/8680 +f 9689/10900/8681 9697/10909/8689 9704/10910/8690 9696/10901/8682 +f 9690/10902/8683 9698/10911/8691 9697/10912/8689 9689/10903/8681 +f 9691/10904/8684 9699/10913/8692 9698/10911/8691 9690/10902/8683 +f 9692/10905/8685 9700/10914/8693 9699/10913/8692 9691/10904/8684 +f 9693/10906/8686 9701/10915/8694 9700/10914/8693 9692/10905/8685 +f 9694/10907/8687 9702/10916/8695 9701/10915/8694 9693/10906/8686 +f 9695/10908/8688 9703/10917/8696 9702/10916/8695 9694/10907/8687 +f 9696/10901/8682 9704/10910/8690 9703/10917/8696 9695/10908/8688 +f 9697/10909/8689 9705/10918/8697 9712/10919/8698 9704/10910/8690 +f 9698/10911/8691 9706/10920/8699 9705/10921/8697 9697/10912/8689 +f 9699/10913/8692 9707/10922/8700 9706/10920/8699 9698/10911/8691 +f 9700/10914/8693 9708/10923/8701 9707/10922/8700 9699/10913/8692 +f 9701/10915/8694 9709/10924/8702 9708/10923/8701 9700/10914/8693 +f 9702/10916/8695 9710/10925/8703 9709/10924/8702 9701/10915/8694 +f 9703/10917/8696 9711/10926/8704 9710/10925/8703 9702/10916/8695 +f 9704/10910/8690 9712/10919/8698 9711/10926/8704 9703/10917/8696 +f 9705/10918/8697 9713/10927/8705 9720/10928/8706 9712/10919/8698 +f 9706/10920/8699 9714/10929/8707 9713/10930/8705 9705/10921/8697 +f 9707/10922/8700 9715/10931/8708 9714/10929/8707 9706/10920/8699 +f 9708/10923/8701 9716/10932/8709 9715/10931/8708 9707/10922/8700 +f 9709/10924/8702 9717/10933/8710 9716/10932/8709 9708/10923/8701 +f 9710/10925/8703 9718/10934/8711 9717/10933/8710 9709/10924/8702 +f 9711/10926/8704 9719/10935/8712 9718/10934/8711 9710/10925/8703 +f 9712/10919/8698 9720/10928/8706 9719/10935/8712 9711/10926/8704 +f 9713/10927/8705 9721/10936/8713 9728/10937/8714 9720/10928/8706 +f 9714/10929/8707 9722/10938/8715 9721/10939/8713 9713/10930/8705 +f 9715/10931/8708 9723/10940/8716 9722/10938/8715 9714/10929/8707 +f 9716/10932/8709 9724/10941/8717 9723/10940/8716 9715/10931/8708 +f 9717/10933/8710 9725/10942/8718 9724/10941/8717 9716/10932/8709 +f 9718/10934/8711 9726/10943/8719 9725/10942/8718 9717/10933/8710 +f 9719/10935/8712 9727/10944/8720 9726/10943/8719 9718/10934/8711 +f 9720/10928/8706 9728/10937/8714 9727/10944/8720 9719/10935/8712 +f 9721/10936/8713 9729/10945/8721 9736/10946/8722 9728/10937/8714 +f 9722/10938/8715 9730/10947/8723 9729/10948/8721 9721/10939/8713 +f 9723/10940/8716 9731/10949/8724 9730/10947/8723 9722/10938/8715 +f 9724/10941/8717 9732/10950/8725 9731/10949/8724 9723/10940/8716 +f 9725/10942/8718 9733/10951/8726 9732/10950/8725 9724/10941/8717 +f 9726/10943/8719 9734/10952/8727 9733/10951/8726 9725/10942/8718 +f 9727/10944/8720 9735/10953/8728 9734/10952/8727 9726/10943/8719 +f 9728/10937/8714 9736/10946/8722 9735/10953/8728 9727/10944/8720 +f 9729/10945/8721 9737/10954/8729 9744/10955/8730 9736/10946/8722 +f 9730/10947/8723 9738/10956/8731 9737/10957/8729 9729/10948/8721 +f 9731/10949/8724 9739/10958/8732 9738/10956/8731 9730/10947/8723 +f 9732/10950/8725 9740/10959/8733 9739/10958/8732 9731/10949/8724 +f 9733/10951/8726 9741/10960/8734 9740/10959/8733 9732/10950/8725 +f 9734/10952/8727 9742/10961/8735 9741/10960/8734 9733/10951/8726 +f 9735/10953/8728 9743/10962/8736 9742/10961/8735 9734/10952/8727 +f 9736/10946/8722 9744/10955/8730 9743/10962/8736 9735/10953/8728 +f 9745/10963/8737 9753/10964/8737 9760/10965/8738 9752/10966/8738 +f 9746/10967/8739 9754/10968/8739 9753/10969/8737 9745/10970/8737 +f 9747/10971/8740 9755/10972/8741 9754/10968/8739 9746/10967/8739 +f 9748/10973/8742 9756/10974/8743 9755/10972/8741 9747/10971/8740 +f 9749/10975/8744 9757/10976/8745 9756/10974/8743 9748/10973/8742 +f 9750/10977/8746 9758/10978/8746 9757/10976/8745 9749/10975/8744 +f 9751/10979/8747 9759/10980/8747 9758/10978/8746 9750/10977/8746 +f 9752/10966/8738 9760/10965/8738 9759/10980/8747 9751/10979/8747 +f 9753/10964/8737 9761/10981/8748 9768/10982/8749 9760/10965/8738 +f 9754/10968/8739 9762/10983/8750 9761/10984/8748 9753/10969/8737 +f 9755/10972/8741 9763/10985/8751 9762/10983/8750 9754/10968/8739 +f 9756/10974/8743 9764/10986/8752 9763/10985/8751 9755/10972/8741 +f 9757/10976/8745 9765/10987/8753 9764/10986/8752 9756/10974/8743 +f 9758/10978/8746 9766/10988/8754 9765/10987/8753 9757/10976/8745 +f 9759/10980/8747 9767/10989/8755 9766/10988/8754 9758/10978/8746 +f 9760/10965/8738 9768/10982/8749 9767/10989/8755 9759/10980/8747 +f 9761/10981/8748 9769/10990/8756 9776/10991/8757 9768/10982/8749 +f 9762/10983/8750 9770/10992/8758 9769/10993/8756 9761/10984/8748 +f 9763/10985/8751 9771/10994/8759 9770/10992/8758 9762/10983/8750 +f 9764/10986/8752 9772/10995/8760 9771/10994/8759 9763/10985/8751 +f 9765/10987/8753 9773/10996/8761 9772/10995/8760 9764/10986/8752 +f 9766/10988/8754 9774/10997/8762 9773/10996/8761 9765/10987/8753 +f 9767/10989/8755 9775/10998/8763 9774/10997/8762 9766/10988/8754 +f 9768/10982/8749 9776/10991/8757 9775/10998/8763 9767/10989/8755 +f 9769/10990/8756 9777/10999/8764 9784/11000/8765 9776/10991/8757 +f 9770/10992/8758 9778/11001/8766 9777/11002/8764 9769/10993/8756 +f 9771/10994/8759 9779/11003/8767 9778/11001/8766 9770/10992/8758 +f 9772/10995/8760 9780/11004/8768 9779/11003/8767 9771/10994/8759 +f 9773/10996/8761 9781/11005/8769 9780/11004/8768 9772/10995/8760 +f 9774/10997/8762 9782/11006/8770 9781/11005/8769 9773/10996/8761 +f 9775/10998/8763 9783/11007/8771 9782/11006/8770 9774/10997/8762 +f 9776/10991/8757 9784/11000/8765 9783/11007/8771 9775/10998/8763 +f 9777/10999/8764 9785/11008/8772 9792/11009/8773 9784/11000/8765 +f 9778/11001/8766 9786/11010/8774 9785/11011/8772 9777/11002/8764 +f 9779/11003/8767 9787/11012/8775 9786/11010/8774 9778/11001/8766 +f 9780/11004/8768 9788/11013/8776 9787/11012/8775 9779/11003/8767 +f 9781/11005/8769 9789/11014/8777 9788/11013/8776 9780/11004/8768 +f 9782/11006/8770 9790/11015/8778 9789/11014/8777 9781/11005/8769 +f 9783/11007/8771 9791/11016/8779 9790/11015/8778 9782/11006/8770 +f 9784/11000/8765 9792/11009/8773 9791/11016/8779 9783/11007/8771 +f 9785/11008/8772 9793/11017/8780 9800/11018/8781 9792/11009/8773 +f 9786/11010/8774 9794/11019/8782 9793/11020/8780 9785/11011/8772 +f 9787/11012/8775 9795/11021/8783 9794/11019/8782 9786/11010/8774 +f 9788/11013/8776 9796/11022/8784 9795/11021/8783 9787/11012/8775 +f 9789/11014/8777 9797/11023/8785 9796/11022/8784 9788/11013/8776 +f 9790/11015/8778 9798/11024/8786 9797/11023/8785 9789/11014/8777 +f 9791/11016/8779 9799/11025/8787 9798/11024/8786 9790/11015/8778 +f 9792/11009/8773 9800/11018/8781 9799/11025/8787 9791/11016/8779 +f 9793/11017/8780 9801/11026/8788 9808/11027/8789 9800/11018/8781 +f 9794/11019/8782 9802/11028/8766 9801/11029/8788 9793/11020/8780 +f 9795/11021/8783 9803/11030/8790 9802/11028/8766 9794/11019/8782 +f 9796/11022/8784 9804/11031/8791 9803/11030/8790 9795/11021/8783 +f 9797/11023/8785 9805/11032/8792 9804/11031/8791 9796/11022/8784 +f 9798/11024/8786 9806/11033/8770 9805/11032/8792 9797/11023/8785 +f 9799/11025/8787 9807/11034/8793 9806/11033/8770 9798/11024/8786 +f 9800/11018/8781 9808/11027/8789 9807/11034/8793 9799/11025/8787 +f 9801/11026/8788 9809/11035/8794 9816/11036/8795 9808/11027/8789 +f 9802/11028/8766 9810/11037/8774 9809/11038/8794 9801/11029/8788 +f 9803/11030/8790 9811/11039/8796 9810/11037/8774 9802/11028/8766 +f 9804/11031/8791 9812/11040/8776 9811/11039/8796 9803/11030/8790 +f 9805/11032/8792 9813/11041/8797 9812/11040/8776 9804/11031/8791 +f 9806/11033/8770 9814/11042/8798 9813/11041/8797 9805/11032/8792 +f 9807/11034/8793 9815/11043/8799 9814/11042/8798 9806/11033/8770 +f 9808/11027/8789 9816/11036/8795 9815/11043/8799 9807/11034/8793 +f 9809/11035/8794 9817/11044/8800 9824/11045/8801 9816/11036/8795 +f 9810/11037/8774 9818/11046/8802 9817/11047/8800 9809/11038/8794 +f 9811/11039/8796 9819/11048/8803 9818/11046/8802 9810/11037/8774 +f 9812/11040/8776 9820/11049/8784 9819/11048/8803 9811/11039/8796 +f 9813/11041/8797 9821/11050/8804 9820/11049/8784 9812/11040/8776 +f 9814/11042/8798 9822/11051/8805 9821/11050/8804 9813/11041/8797 +f 9815/11043/8799 9823/11052/8806 9822/11051/8805 9814/11042/8798 +f 9816/11036/8795 9824/11045/8801 9823/11052/8806 9815/11043/8799 +f 9825/11053/8807 9833/11054/8808 9840/11055/8809 9832/11056/8809 +f 9826/11057/8810 9834/11058/8810 9833/11059/8808 9825/11060/8807 +f 9827/11061/8811 9835/11062/8811 9834/11058/8810 9826/11057/8810 +f 9828/11063/8812 9836/11064/8812 9835/11062/8811 9827/11061/8811 +f 9829/11065/8813 9837/11066/8813 9836/11064/8812 9828/11063/8812 +f 9830/11067/8814 9838/11068/8815 9837/11066/8813 9829/11065/8813 +f 9831/11069/8816 9839/11070/8817 9838/11068/8815 9830/11067/8814 +f 9832/11056/8809 9840/11055/8809 9839/11070/8817 9831/11069/8816 +f 9833/11054/8808 9841/11071/8818 9848/11072/8819 9840/11055/8809 +f 9834/11058/8810 9842/11073/8820 9841/11074/8818 9833/11059/8808 +f 9835/11062/8811 9843/11075/8821 9842/11073/8820 9834/11058/8810 +f 9836/11064/8812 9844/11076/8822 9843/11075/8821 9835/11062/8811 +f 9837/11066/8813 9845/11077/8823 9844/11076/8822 9836/11064/8812 +f 9838/11068/8815 9846/11078/8824 9845/11077/8823 9837/11066/8813 +f 9839/11070/8817 9847/11079/8825 9846/11078/8824 9838/11068/8815 +f 9840/11055/8809 9848/11072/8819 9847/11079/8825 9839/11070/8817 +f 9841/11071/8818 9849/11080/8826 9856/11081/8827 9848/11072/8819 +f 9842/11073/8820 9850/11082/8828 9849/11083/8826 9841/11074/8818 +f 9843/11075/8821 9851/11084/8829 9850/11082/8828 9842/11073/8820 +f 9844/11076/8822 9852/11085/8830 9851/11084/8829 9843/11075/8821 +f 9845/11077/8823 9853/11086/8831 9852/11085/8830 9844/11076/8822 +f 9846/11078/8824 9854/11087/8832 9853/11086/8831 9845/11077/8823 +f 9847/11079/8825 9855/11088/8833 9854/11087/8832 9846/11078/8824 +f 9848/11072/8819 9856/11081/8827 9855/11088/8833 9847/11079/8825 +f 9849/11080/8826 9857/11089/8834 9864/11090/8835 9856/11081/8827 +f 9850/11082/8828 9858/11091/8836 9857/11092/8834 9849/11083/8826 +f 9851/11084/8829 9859/11093/8837 9858/11091/8836 9850/11082/8828 +f 9852/11085/8830 9860/11094/8838 9859/11093/8837 9851/11084/8829 +f 9853/11086/8831 9861/11095/8839 9860/11094/8838 9852/11085/8830 +f 9854/11087/8832 9862/11096/8840 9861/11095/8839 9853/11086/8831 +f 9855/11088/8833 9863/11097/8841 9862/11096/8840 9854/11087/8832 +f 9856/11081/8827 9864/11090/8835 9863/11097/8841 9855/11088/8833 +f 9857/11089/8834 9865/11098/8842 9872/11099/8843 9864/11090/8835 +f 9858/11091/8836 9866/11100/8844 9865/11101/8842 9857/11092/8834 +f 9859/11093/8837 9867/11102/8845 9866/11100/8844 9858/11091/8836 +f 9860/11094/8838 9868/11103/8846 9867/11102/8845 9859/11093/8837 +f 9861/11095/8839 9869/11104/8847 9868/11103/8846 9860/11094/8838 +f 9862/11096/8840 9870/11105/8848 9869/11104/8847 9861/11095/8839 +f 9863/11097/8841 9871/11106/8849 9870/11105/8848 9862/11096/8840 +f 9864/11090/8835 9872/11099/8843 9871/11106/8849 9863/11097/8841 +f 9865/11098/8842 9873/11107/8850 9880/11108/8851 9872/11099/8843 +f 9866/11100/8844 9874/11109/8852 9873/11110/8850 9865/11101/8842 +f 9867/11102/8845 9875/11111/8853 9874/11109/8852 9866/11100/8844 +f 9868/11103/8846 9876/11112/8854 9875/11111/8853 9867/11102/8845 +f 9869/11104/8847 9877/11113/8855 9876/11112/8854 9868/11103/8846 +f 9870/11105/8848 9878/11114/8856 9877/11113/8855 9869/11104/8847 +f 9871/11106/8849 9879/11115/8857 9878/11114/8856 9870/11105/8848 +f 9872/11099/8843 9880/11108/8851 9879/11115/8857 9871/11106/8849 +f 9873/11107/8850 9881/11116/8834 9888/11117/8835 9880/11108/8851 +f 9874/11109/8852 9882/11118/8858 9881/11119/8834 9873/11110/8850 +f 9875/11111/8853 9883/11120/8837 9882/11118/8858 9874/11109/8852 +f 9876/11112/8854 9884/11121/8838 9883/11120/8837 9875/11111/8853 +f 9877/11113/8855 9885/11122/8859 9884/11121/8838 9876/11112/8854 +f 9878/11114/8856 9886/11123/8840 9885/11122/8859 9877/11113/8855 +f 9879/11115/8857 9887/11124/8860 9886/11123/8840 9878/11114/8856 +f 9880/11108/8851 9888/11117/8835 9887/11124/8860 9879/11115/8857 +f 9881/11116/8834 9889/11125/8861 9896/11126/8843 9888/11117/8835 +f 9882/11118/8858 9890/11127/8862 9889/11128/8861 9881/11119/8834 +f 9883/11120/8837 9891/11129/8863 9890/11127/8862 9882/11118/8858 +f 9884/11121/8838 9892/11130/8864 9891/11129/8863 9883/11120/8837 +f 9885/11122/8859 9893/11131/8865 9892/11130/8864 9884/11121/8838 +f 9886/11123/8840 9894/11132/8848 9893/11131/8865 9885/11122/8859 +f 9887/11124/8860 9895/11133/8866 9894/11132/8848 9886/11123/8840 +f 9888/11117/8835 9896/11126/8843 9895/11133/8866 9887/11124/8860 +f 9889/11125/8861 9897/11134/8867 9904/11135/8868 9896/11126/8843 +f 9890/11127/8862 9898/11136/8869 9897/11137/8867 9889/11128/8861 +f 9891/11129/8863 9899/11138/8870 9898/11136/8869 9890/11127/8862 +f 9892/11130/8864 9900/11139/8871 9899/11138/8870 9891/11129/8863 +f 9893/11131/8865 9901/11140/8855 9900/11139/8871 9892/11130/8864 +f 9894/11132/8848 9902/11141/8856 9901/11140/8855 9893/11131/8865 +f 9895/11133/8866 9903/11142/8872 9902/11141/8856 9894/11132/8848 +f 9896/11126/8843 9904/11135/8868 9903/11142/8872 9895/11133/8866 +f 9905/11143/8873 9913/11144/8874 9920/11145/8875 9912/11146/8875 +f 9906/11147/8876 9914/11148/8876 9913/11149/8874 9905/11150/8873 +f 9907/11151/8877 9915/11152/8877 9914/11148/8876 9906/11147/8876 +f 9908/11153/8878 9916/11154/8879 9915/11152/8877 9907/11151/8877 +f 9909/11155/8880 9917/11156/8880 9916/11154/8879 9908/11153/8878 +f 9910/11157/8881 9918/11158/8882 9917/11156/8880 9909/11155/8880 +f 9911/11159/8883 9919/11160/8884 9918/11158/8882 9910/11157/8881 +f 9912/11146/8875 9920/11145/8875 9919/11160/8884 9911/11159/8883 +f 9913/11144/8874 9921/11161/8885 9928/11162/8886 9920/11145/8875 +f 9914/11148/8876 9922/11163/8887 9921/11164/8885 9913/11149/8874 +f 9915/11152/8877 9923/11165/8888 9922/11163/8887 9914/11148/8876 +f 9916/11154/8879 9924/11166/8889 9923/11165/8888 9915/11152/8877 +f 9917/11156/8880 9925/11167/8890 9924/11166/8889 9916/11154/8879 +f 9918/11158/8882 9926/11168/8891 9925/11167/8890 9917/11156/8880 +f 9919/11160/8884 9927/11169/8892 9926/11168/8891 9918/11158/8882 +f 9920/11145/8875 9928/11162/8886 9927/11169/8892 9919/11160/8884 +f 9921/11161/8885 9929/11170/8893 9936/11171/8894 9928/11162/8886 +f 9922/11163/8887 9930/11172/8895 9929/11173/8893 9921/11164/8885 +f 9923/11165/8888 9931/11174/8896 9930/11172/8895 9922/11163/8887 +f 9924/11166/8889 9932/11175/8897 9931/11174/8896 9923/11165/8888 +f 9925/11167/8890 9933/11176/8898 9932/11175/8897 9924/11166/8889 +f 9926/11168/8891 9934/11177/8899 9933/11176/8898 9925/11167/8890 +f 9927/11169/8892 9935/11178/8900 9934/11177/8899 9926/11168/8891 +f 9928/11162/8886 9936/11171/8894 9935/11178/8900 9927/11169/8892 +f 9929/11170/8893 9937/11179/8901 9944/11180/8902 9936/11171/8894 +f 9930/11172/8895 9938/11181/8903 9937/11182/8901 9929/11173/8893 +f 9931/11174/8896 9939/11183/8904 9938/11181/8903 9930/11172/8895 +f 9932/11175/8897 9940/11184/8905 9939/11183/8904 9931/11174/8896 +f 9933/11176/8898 9941/11185/8906 9940/11184/8905 9932/11175/8897 +f 9934/11177/8899 9942/11186/8907 9941/11185/8906 9933/11176/8898 +f 9935/11178/8900 9943/11187/8908 9942/11186/8907 9934/11177/8899 +f 9936/11171/8894 9944/11180/8902 9943/11187/8908 9935/11178/8900 +f 9937/11179/8901 9945/11188/8909 9952/11189/8902 9944/11180/8902 +f 9938/11181/8903 9946/11190/8910 9945/11191/8909 9937/11182/8901 +f 9939/11183/8904 9947/11192/8904 9946/11190/8910 9938/11181/8903 +f 9940/11184/8905 9948/11193/8905 9947/11192/8904 9939/11183/8904 +f 9941/11185/8906 9949/11194/8911 9948/11193/8905 9940/11184/8905 +f 9942/11186/8907 9950/11195/8907 9949/11194/8911 9941/11185/8906 +f 9943/11187/8908 9951/11196/8908 9950/11195/8907 9942/11186/8907 +f 9944/11180/8902 9952/11189/8902 9951/11196/8908 9943/11187/8908 +f 9945/11188/8909 9953/11197/8912 9960/11198/8913 9952/11189/8902 +f 9946/11190/8910 9954/11199/8914 9953/11200/8912 9945/11191/8909 +f 9947/11192/8904 9955/11201/8915 9954/11199/8914 9946/11190/8910 +f 9948/11193/8905 9956/11202/8916 9955/11201/8915 9947/11192/8904 +f 9949/11194/8911 9957/11203/8917 9956/11202/8916 9948/11193/8905 +f 9950/11195/8907 9958/11204/8918 9957/11203/8917 9949/11194/8911 +f 9951/11196/8908 9959/11205/8919 9958/11204/8918 9950/11195/8907 +f 9952/11189/8902 9960/11198/8913 9959/11205/8919 9951/11196/8908 +f 9953/11197/8912 9961/11206/8901 9968/11207/8902 9960/11198/8913 +f 9954/11199/8914 9962/11208/8903 9961/11209/8901 9953/11200/8912 +f 9955/11201/8915 9963/11210/8920 9962/11208/8903 9954/11199/8914 +f 9956/11202/8916 9964/11211/8921 9963/11210/8920 9955/11201/8915 +f 9957/11203/8917 9965/11212/8922 9964/11211/8921 9956/11202/8916 +f 9958/11204/8918 9966/11213/8907 9965/11212/8922 9957/11203/8917 +f 9959/11205/8919 9967/11214/8923 9966/11213/8907 9958/11204/8918 +f 9960/11198/8913 9968/11207/8902 9967/11214/8923 9959/11205/8919 +f 9961/11206/8901 9969/11215/8924 9976/11216/8902 9968/11207/8902 +f 9962/11208/8903 9970/11217/8925 9969/11218/8924 9961/11209/8901 +f 9963/11210/8920 9971/11219/8926 9970/11217/8925 9962/11208/8903 +f 9964/11211/8921 9972/11220/8927 9971/11219/8926 9963/11210/8920 +f 9965/11212/8922 9973/11221/8928 9972/11220/8927 9964/11211/8921 +f 9966/11213/8907 9974/11222/8929 9973/11221/8928 9965/11212/8922 +f 9967/11214/8923 9975/11223/8923 9974/11222/8929 9966/11213/8907 +f 9968/11207/8902 9976/11216/8902 9975/11223/8923 9967/11214/8923 +f 9969/11215/8924 9977/11224/8930 9984/11225/8931 9976/11216/8902 +f 9970/11217/8925 9978/11226/8932 9977/11227/8930 9969/11218/8924 +f 9971/11219/8926 9979/11228/8933 9978/11226/8932 9970/11217/8925 +f 9972/11220/8927 9980/11229/8934 9979/11228/8933 9971/11219/8926 +f 9973/11221/8928 9981/11230/8917 9980/11229/8934 9972/11220/8927 +f 9974/11222/8929 9982/11231/8935 9981/11230/8917 9973/11221/8928 +f 9975/11223/8923 9983/11232/8936 9982/11231/8935 9974/11222/8929 +f 9976/11216/8902 9984/11225/8931 9983/11232/8936 9975/11223/8923 +f 9985/11233/8937 9993/11234/8938 10000/11235/8939 9992/11236/8939 +f 9986/11237/8940 9994/11238/8940 9993/11239/8938 9985/11240/8937 +f 9987/11241/8941 9995/11242/8942 9994/11238/8940 9986/11237/8940 +f 9988/11243/8943 9996/11244/8943 9995/11242/8942 9987/11241/8941 +f 9989/11245/8944 9997/11246/8945 9996/11244/8943 9988/11243/8943 +f 9990/11247/8946 9998/11248/8946 9997/11246/8945 9989/11245/8944 +f 9991/11249/8947 9999/11250/8947 9998/11248/8946 9990/11247/8946 +f 9992/11236/8939 10000/11235/8939 9999/11250/8947 9991/11249/8947 +f 9993/11234/8938 10001/11251/8948 10008/11252/8949 10000/11235/8939 +f 9994/11238/8940 10002/11253/8950 10001/11254/8948 9993/11239/8938 +f 9995/11242/8942 10003/11255/8951 10002/11253/8950 9994/11238/8940 +f 9996/11244/8943 10004/11256/8952 10003/11255/8951 9995/11242/8942 +f 9997/11246/8945 10005/11257/8953 10004/11256/8952 9996/11244/8943 +f 9998/11248/8946 10006/11258/8954 10005/11257/8953 9997/11246/8945 +f 9999/11250/8947 10007/11259/8955 10006/11258/8954 9998/11248/8946 +f 10000/11235/8939 10008/11252/8949 10007/11259/8955 9999/11250/8947 +f 10001/11251/8948 10009/11260/8956 10016/11261/8957 10008/11252/8949 +f 10002/11253/8950 10010/11262/8958 10009/11263/8956 10001/11254/8948 +f 10003/11255/8951 10011/11264/8959 10010/11262/8958 10002/11253/8950 +f 10004/11256/8952 10012/11265/8960 10011/11264/8959 10003/11255/8951 +f 10005/11257/8953 10013/11266/8961 10012/11265/8960 10004/11256/8952 +f 10006/11258/8954 10014/11267/8962 10013/11266/8961 10005/11257/8953 +f 10007/11259/8955 10015/11268/8963 10014/11267/8962 10006/11258/8954 +f 10008/11252/8949 10016/11261/8957 10015/11268/8963 10007/11259/8955 +f 10009/11260/8956 10017/11269/8964 10024/11270/8965 10016/11261/8957 +f 10010/11262/8958 10018/11271/8966 10017/11272/8964 10009/11263/8956 +f 10011/11264/8959 10019/11273/8967 10018/11271/8966 10010/11262/8958 +f 10012/11265/8960 10020/11274/8968 10019/11273/8967 10011/11264/8959 +f 10013/11266/8961 10021/11275/8969 10020/11274/8968 10012/11265/8960 +f 10014/11267/8962 10022/11276/8970 10021/11275/8969 10013/11266/8961 +f 10015/11268/8963 10023/11277/8971 10022/11276/8970 10014/11267/8962 +f 10016/11261/8957 10024/11270/8965 10023/11277/8971 10015/11268/8963 +f 10017/11269/8964 10025/11278/8972 10032/11279/8973 10024/11270/8965 +f 10018/11271/8966 10026/11280/8974 10025/11281/8972 10017/11272/8964 +f 10019/11273/8967 10027/11282/8975 10026/11280/8974 10018/11271/8966 +f 10020/11274/8968 10028/11283/8976 10027/11282/8975 10019/11273/8967 +f 10021/11275/8969 10029/11284/8977 10028/11283/8976 10020/11274/8968 +f 10022/11276/8970 10030/11285/8978 10029/11284/8977 10021/11275/8969 +f 10023/11277/8971 10031/11286/8979 10030/11285/8978 10022/11276/8970 +f 10024/11270/8965 10032/11279/8973 10031/11286/8979 10023/11277/8971 +f 10025/11278/8972 10033/11287/8980 10040/11288/8981 10032/11279/8973 +f 10026/11280/8974 10034/11289/8982 10033/11290/8980 10025/11281/8972 +f 10027/11282/8975 10035/11291/8983 10034/11289/8982 10026/11280/8974 +f 10028/11283/8976 10036/11292/8984 10035/11291/8983 10027/11282/8975 +f 10029/11284/8977 10037/11293/8985 10036/11292/8984 10028/11283/8976 +f 10030/11285/8978 10038/11294/8986 10037/11293/8985 10029/11284/8977 +f 10031/11286/8979 10039/11295/8987 10038/11294/8986 10030/11285/8978 +f 10032/11279/8973 10040/11288/8981 10039/11295/8987 10031/11286/8979 +f 10033/11287/8980 10041/11296/8988 10048/11297/8965 10040/11288/8981 +f 10034/11289/8982 10042/11298/8966 10041/11299/8988 10033/11290/8980 +f 10035/11291/8983 10043/11300/8989 10042/11298/8966 10034/11289/8982 +f 10036/11292/8984 10044/11301/8968 10043/11300/8989 10035/11291/8983 +f 10037/11293/8985 10045/11302/8969 10044/11301/8968 10036/11292/8984 +f 10038/11294/8986 10046/11303/8970 10045/11302/8969 10037/11293/8985 +f 10039/11295/8987 10047/11304/8971 10046/11303/8970 10038/11294/8986 +f 10040/11288/8981 10048/11297/8965 10047/11304/8971 10039/11295/8987 +f 10041/11296/8988 10049/11305/8990 10056/11306/8973 10048/11297/8965 +f 10042/11298/8966 10050/11307/8991 10049/11308/8990 10041/11299/8988 +f 10043/11300/8989 10051/11309/8992 10050/11307/8991 10042/11298/8966 +f 10044/11301/8968 10052/11310/8993 10051/11309/8992 10043/11300/8989 +f 10045/11302/8969 10053/11311/8977 10052/11310/8993 10044/11301/8968 +f 10046/11303/8970 10054/11312/8994 10053/11311/8977 10045/11302/8969 +f 10047/11304/8971 10055/11313/8979 10054/11312/8994 10046/11303/8970 +f 10048/11297/8965 10056/11306/8973 10055/11313/8979 10047/11304/8971 +f 10049/11305/8990 10057/11314/8995 10064/11315/8981 10056/11306/8973 +f 10050/11307/8991 10058/11316/8996 10057/11317/8995 10049/11308/8990 +f 10051/11309/8992 10059/11318/8997 10058/11316/8996 10050/11307/8991 +f 10052/11310/8993 10060/11319/8998 10059/11318/8997 10051/11309/8992 +f 10053/11311/8977 10061/11320/8999 10060/11319/8998 10052/11310/8993 +f 10054/11312/8994 10062/11321/8986 10061/11320/8999 10053/11311/8977 +f 10055/11313/8979 10063/11322/9000 10062/11321/8986 10054/11312/8994 +f 10056/11306/8973 10064/11315/8981 10063/11322/9000 10055/11313/8979 +f 10065/11323/9001 10073/11324/9001 10080/11325/9002 10072/11326/9002 +f 10066/11327/9003 10074/11328/9003 10073/11329/9001 10065/11330/9001 +f 10067/11331/9004 10075/11332/9004 10074/11328/9003 10066/11327/9003 +f 10068/11333/9005 10076/11334/9005 10075/11332/9004 10067/11331/9004 +f 10069/11335/9006 10077/11336/9007 10076/11334/9005 10068/11333/9005 +f 10070/11337/9008 10078/11338/9009 10077/11336/9007 10069/11335/9006 +f 10071/11339/9010 10079/11340/9010 10078/11338/9009 10070/11337/9008 +f 10072/11326/9002 10080/11325/9002 10079/11340/9010 10071/11339/9010 +f 10073/11324/9001 10081/11341/9011 10088/11342/9012 10080/11325/9002 +f 10074/11328/9003 10082/11343/9013 10081/11344/9011 10073/11329/9001 +f 10075/11332/9004 10083/11345/9014 10082/11343/9013 10074/11328/9003 +f 10076/11334/9005 10084/11346/9015 10083/11345/9014 10075/11332/9004 +f 10077/11336/9007 10085/11347/9016 10084/11346/9015 10076/11334/9005 +f 10078/11338/9009 10086/11348/9017 10085/11347/9016 10077/11336/9007 +f 10079/11340/9010 10087/11349/9018 10086/11348/9017 10078/11338/9009 +f 10080/11325/9002 10088/11342/9012 10087/11349/9018 10079/11340/9010 +f 10081/11341/9011 10089/11350/9019 10096/11351/9020 10088/11342/9012 +f 10082/11343/9013 10090/11352/9021 10089/11353/9019 10081/11344/9011 +f 10083/11345/9014 10091/11354/9022 10090/11352/9021 10082/11343/9013 +f 10084/11346/9015 10092/11355/9023 10091/11354/9022 10083/11345/9014 +f 10085/11347/9016 10093/11356/9024 10092/11355/9023 10084/11346/9015 +f 10086/11348/9017 10094/11357/9025 10093/11356/9024 10085/11347/9016 +f 10087/11349/9018 10095/11358/9026 10094/11357/9025 10086/11348/9017 +f 10088/11342/9012 10096/11351/9020 10095/11358/9026 10087/11349/9018 +f 10089/11350/9019 10097/11359/9027 10104/11360/9028 10096/11351/9020 +f 10090/11352/9021 10098/11361/9029 10097/11362/9027 10089/11353/9019 +f 10091/11354/9022 10099/11363/9030 10098/11361/9029 10090/11352/9021 +f 10092/11355/9023 10100/11364/9031 10099/11363/9030 10091/11354/9022 +f 10093/11356/9024 10101/11365/9032 10100/11364/9031 10092/11355/9023 +f 10094/11357/9025 10102/11366/9033 10101/11365/9032 10093/11356/9024 +f 10095/11358/9026 10103/11367/9034 10102/11366/9033 10094/11357/9025 +f 10096/11351/9020 10104/11360/9028 10103/11367/9034 10095/11358/9026 +f 10097/11359/9027 10105/11368/9035 10112/11369/9036 10104/11360/9028 +f 10098/11361/9029 10106/11370/9037 10105/11371/9035 10097/11362/9027 +f 10099/11363/9030 10107/11372/9038 10106/11370/9037 10098/11361/9029 +f 10100/11364/9031 10108/11373/9039 10107/11372/9038 10099/11363/9030 +f 10101/11365/9032 10109/11374/9040 10108/11373/9039 10100/11364/9031 +f 10102/11366/9033 10110/11375/9041 10109/11374/9040 10101/11365/9032 +f 10103/11367/9034 10111/11376/9042 10110/11375/9041 10102/11366/9033 +f 10104/11360/9028 10112/11369/9036 10111/11376/9042 10103/11367/9034 +f 10105/11368/9035 10113/11377/9043 10120/11378/9044 10112/11369/9036 +f 10106/11370/9037 10114/11379/9045 10113/11380/9043 10105/11371/9035 +f 10107/11372/9038 10115/11381/9046 10114/11379/9045 10106/11370/9037 +f 10108/11373/9039 10116/11382/9047 10115/11381/9046 10107/11372/9038 +f 10109/11374/9040 10117/11383/9048 10116/11382/9047 10108/11373/9039 +f 10110/11375/9041 10118/11384/9049 10117/11383/9048 10109/11374/9040 +f 10111/11376/9042 10119/11385/9050 10118/11384/9049 10110/11375/9041 +f 10112/11369/9036 10120/11378/9044 10119/11385/9050 10111/11376/9042 +f 10113/11377/9043 10121/11386/9027 10128/11387/9051 10120/11378/9044 +f 10114/11379/9045 10122/11388/9052 10121/11389/9027 10113/11380/9043 +f 10115/11381/9046 10123/11390/9030 10122/11388/9052 10114/11379/9045 +f 10116/11382/9047 10124/11391/9031 10123/11390/9030 10115/11381/9046 +f 10117/11383/9048 10125/11392/9053 10124/11391/9031 10116/11382/9047 +f 10118/11384/9049 10126/11393/9033 10125/11392/9053 10117/11383/9048 +f 10119/11385/9050 10127/11394/9034 10126/11393/9033 10118/11384/9049 +f 10120/11378/9044 10128/11387/9051 10127/11394/9034 10119/11385/9050 +f 10121/11386/9027 10129/11395/9054 10136/11396/9055 10128/11387/9051 +f 10122/11388/9052 10130/11397/9056 10129/11398/9054 10121/11389/9027 +f 10123/11390/9030 10131/11399/9038 10130/11397/9056 10122/11388/9052 +f 10124/11391/9031 10132/11400/9039 10131/11399/9038 10123/11390/9030 +f 10125/11392/9053 10133/11401/9040 10132/11400/9039 10124/11391/9031 +f 10126/11393/9033 10134/11402/9041 10133/11401/9040 10125/11392/9053 +f 10127/11394/9034 10135/11403/9042 10134/11402/9041 10126/11393/9033 +f 10128/11387/9051 10136/11396/9055 10135/11403/9042 10127/11394/9034 +f 10129/11395/9054 10137/11404/9057 10144/11405/9058 10136/11396/9055 +f 10130/11397/9056 10138/11406/9059 10137/11407/9057 10129/11398/9054 +f 10131/11399/9038 10139/11408/9060 10138/11406/9059 10130/11397/9056 +f 10132/11400/9039 10140/11409/9061 10139/11408/9060 10131/11399/9038 +f 10133/11401/9040 10141/11410/9062 10140/11409/9061 10132/11400/9039 +f 10134/11402/9041 10142/11411/9049 10141/11410/9062 10133/11401/9040 +f 10135/11403/9042 10143/11412/9063 10142/11411/9049 10134/11402/9041 +f 10136/11396/9055 10144/11405/9058 10143/11412/9063 10135/11403/9042 +f 10145/11413/9064 10153/11414/9065 10160/11415/9066 10152/11416/9066 +f 10146/11417/9067 10154/11418/9067 10153/11419/9065 10145/11420/9064 +f 10147/11421/9068 10155/11422/9068 10154/11418/9067 10146/11417/9067 +f 10148/11423/9069 10156/11424/9069 10155/11422/9068 10147/11421/9068 +f 10149/11425/9070 10157/11426/9070 10156/11424/9069 10148/11423/9069 +f 10150/11427/9071 10158/11428/9072 10157/11426/9070 10149/11425/9070 +f 10151/11429/9073 10159/11430/9074 10158/11428/9072 10150/11427/9071 +f 10152/11416/9066 10160/11415/9066 10159/11430/9074 10151/11429/9073 +f 10153/11414/9065 10161/11431/9075 10168/11432/9076 10160/11415/9066 +f 10154/11418/9067 10162/11433/9077 10161/11434/9075 10153/11419/9065 +f 10155/11422/9068 10163/11435/9078 10162/11433/9077 10154/11418/9067 +f 10156/11424/9069 10164/11436/9079 10163/11435/9078 10155/11422/9068 +f 10157/11426/9070 10165/11437/9080 10164/11436/9079 10156/11424/9069 +f 10158/11428/9072 10166/11438/9081 10165/11437/9080 10157/11426/9070 +f 10159/11430/9074 10167/11439/9082 10166/11438/9081 10158/11428/9072 +f 10160/11415/9066 10168/11432/9076 10167/11439/9082 10159/11430/9074 +f 10161/11431/9075 10169/11440/9083 10176/11441/9084 10168/11432/9076 +f 10162/11433/9077 10170/11442/9085 10169/11443/9083 10161/11434/9075 +f 10163/11435/9078 10171/11444/9086 10170/11442/9085 10162/11433/9077 +f 10164/11436/9079 10172/11445/9087 10171/11444/9086 10163/11435/9078 +f 10165/11437/9080 10173/11446/9088 10172/11445/9087 10164/11436/9079 +f 10166/11438/9081 10174/11447/9089 10173/11446/9088 10165/11437/9080 +f 10167/11439/9082 10175/11448/9090 10174/11447/9089 10166/11438/9081 +f 10168/11432/9076 10176/11441/9084 10175/11448/9090 10167/11439/9082 +f 10177/11449/9091 10185/11450/9091 10192/11451/9092 10184/11452/9093 +f 10178/11453/9094 10186/11454/9095 10185/11455/9091 10177/11456/9091 +f 10179/11457/9096 10187/11458/9096 10186/11454/9095 10178/11453/9094 +f 10180/11459/9097 10188/11460/9098 10187/11458/9096 10179/11457/9096 +f 10181/11461/9099 10189/11462/9099 10188/11460/9098 10180/11459/9097 +f 10182/11463/9100 10190/11464/9100 10189/11462/9099 10181/11461/9099 +f 10183/11465/9101 10191/11466/9102 10190/11464/9100 10182/11463/9100 +f 10184/11452/9093 10192/11451/9092 10191/11466/9102 10183/11465/9101 +f 10185/11450/9091 10193/11467/9103 10200/11468/9104 10192/11451/9092 +f 10186/11454/9095 10194/11469/9105 10193/11470/9103 10185/11455/9091 +f 10187/11458/9096 10195/11471/9106 10194/11469/9105 10186/11454/9095 +f 10188/11460/9098 10196/11472/9107 10195/11471/9106 10187/11458/9096 +f 10189/11462/9099 10197/11473/9108 10196/11472/9107 10188/11460/9098 +f 10190/11464/9100 10198/11474/9109 10197/11473/9108 10189/11462/9099 +f 10191/11466/9102 10199/11475/9110 10198/11474/9109 10190/11464/9100 +f 10192/11451/9092 10200/11468/9104 10199/11475/9110 10191/11466/9102 +f 10193/11467/9103 10201/11476/9111 10208/11477/9112 10200/11468/9104 +f 10194/11469/9105 10202/11478/9113 10201/11479/9111 10193/11470/9103 +f 10195/11471/9106 10203/11480/9114 10202/11478/9113 10194/11469/9105 +f 10196/11472/9107 10204/11481/9115 10203/11480/9114 10195/11471/9106 +f 10197/11473/9108 10205/11482/9116 10204/11481/9115 10196/11472/9107 +f 10198/11474/9109 10206/11483/9117 10205/11482/9116 10197/11473/9108 +f 10199/11475/9110 10207/11484/9118 10206/11483/9117 10198/11474/9109 +f 10200/11468/9104 10208/11477/9112 10207/11484/9118 10199/11475/9110 +f 10201/11476/9111 10209/11485/9119 10216/11486/9120 10208/11477/9112 +f 10202/11478/9113 10210/11487/9121 10209/11488/9119 10201/11479/9111 +f 10203/11480/9114 10211/11489/9122 10210/11487/9121 10202/11478/9113 +f 10204/11481/9115 10212/11490/9123 10211/11489/9122 10203/11480/9114 +f 10205/11482/9116 10213/11491/9124 10212/11490/9123 10204/11481/9115 +f 10206/11483/9117 10214/11492/9125 10213/11491/9124 10205/11482/9116 +f 10207/11484/9118 10215/11493/9126 10214/11492/9125 10206/11483/9117 +f 10208/11477/9112 10216/11486/9120 10215/11493/9126 10207/11484/9118 +f 10209/11485/9119 10217/11494/9127 10224/11495/9128 10216/11486/9120 +f 10210/11487/9121 10218/11496/9129 10217/11497/9127 10209/11488/9119 +f 10211/11489/9122 10219/11498/9130 10218/11496/9129 10210/11487/9121 +f 10212/11490/9123 10220/11499/9131 10219/11498/9130 10211/11489/9122 +f 10213/11491/9124 10221/11500/9132 10220/11499/9131 10212/11490/9123 +f 10214/11492/9125 10222/11501/9133 10221/11500/9132 10213/11491/9124 +f 10215/11493/9126 10223/11502/9134 10222/11501/9133 10214/11492/9125 +f 10216/11486/9120 10224/11495/9128 10223/11502/9134 10215/11493/9126 +f 10217/11494/9127 10225/11503/9135 10232/11504/9136 10224/11495/9128 +f 10218/11496/9129 10226/11505/9137 10225/11506/9135 10217/11497/9127 +f 10219/11498/9130 10227/11507/9138 10226/11505/9137 10218/11496/9129 +f 10220/11499/9131 10228/11508/9139 10227/11507/9138 10219/11498/9130 +f 10221/11500/9132 10229/11509/9140 10228/11508/9139 10220/11499/9131 +f 10222/11501/9133 10230/11510/9141 10229/11509/9140 10221/11500/9132 +f 10223/11502/9134 10231/11511/9142 10230/11510/9141 10222/11501/9133 +f 10224/11495/9128 10232/11504/9136 10231/11511/9142 10223/11502/9134 +f 10233/11512/9143 10241/11513/9143 10248/11514/9144 10240/11515/9144 +f 10234/11516/9145 10242/11517/9145 10241/11518/9143 10233/11519/9143 +f 10235/11520/9146 10243/11521/9146 10242/11517/9145 10234/11516/9145 +f 10236/11522/9147 10244/11523/9147 10243/11521/9146 10235/11520/9146 +f 10237/11524/9148 10245/11525/9148 10244/11523/9147 10236/11522/9147 +f 10238/11526/9149 10246/11527/9149 10245/11525/9148 10237/11524/9148 +f 10239/11528/9150 10247/11529/9151 10246/11527/9149 10238/11526/9149 +f 10240/11515/9144 10248/11514/9144 10247/11529/9151 10239/11528/9150 +f 10241/11513/9143 10249/11530/9152 10256/11531/9153 10248/11514/9144 +f 10242/11517/9145 10250/11532/9154 10249/11533/9152 10241/11518/9143 +f 10243/11521/9146 10251/11534/9155 10250/11532/9154 10242/11517/9145 +f 10244/11523/9147 10252/11535/9156 10251/11534/9155 10243/11521/9146 +f 10245/11525/9148 10253/11536/9157 10252/11535/9156 10244/11523/9147 +f 10246/11527/9149 10254/11537/9158 10253/11536/9157 10245/11525/9148 +f 10247/11529/9151 10255/11538/9159 10254/11537/9158 10246/11527/9149 +f 10248/11514/9144 10256/11531/9153 10255/11538/9159 10247/11529/9151 +f 10249/11530/9152 10257/11539/9160 10264/11540/9161 10256/11531/9153 +f 10250/11532/9154 10258/11541/9162 10257/11542/9160 10249/11533/9152 +f 10251/11534/9155 10259/11543/9163 10258/11541/9162 10250/11532/9154 +f 10252/11535/9156 10260/11544/9164 10259/11543/9163 10251/11534/9155 +f 10253/11536/9157 10261/11545/9165 10260/11544/9164 10252/11535/9156 +f 10254/11537/9158 10262/11546/9166 10261/11545/9165 10253/11536/9157 +f 10255/11538/9159 10263/11547/9167 10262/11546/9166 10254/11537/9158 +f 10256/11531/9153 10264/11540/9161 10263/11547/9167 10255/11538/9159 +f 10265/11548/9168 10273/11549/9169 10280/11550/9170 10272/11551/9171 +f 10266/11552/9172 10274/11553/9173 10273/11554/9169 10265/11555/9168 +f 10267/11556/9174 10275/11557/9175 10274/11553/9173 10266/11552/9172 +f 10268/11558/9176 10276/11559/9177 10275/11557/9175 10267/11556/9174 +f 10269/11560/9178 10277/11561/9179 10276/11559/9177 10268/11558/9176 +f 10270/11562/9180 10278/11563/9181 10277/11561/9179 10269/11560/9178 +f 10271/11564/9182 10279/11565/9183 10278/11563/9181 10270/11562/9180 +f 10272/11551/9171 10280/11550/9170 10279/11565/9183 10271/11564/9182 +f 10273/11549/9169 10281/11566/9184 10288/11567/9185 10280/11550/9170 +f 10274/11553/9173 10282/11568/9186 10281/11569/9184 10273/11554/9169 +f 10275/11557/9175 10283/11570/9187 10282/11568/9186 10274/11553/9173 +f 10276/11559/9177 10284/11571/9188 10283/11570/9187 10275/11557/9175 +f 10277/11561/9179 10285/11572/9189 10284/11571/9188 10276/11559/9177 +f 10278/11563/9181 10286/11573/9190 10285/11572/9189 10277/11561/9179 +f 10279/11565/9183 10287/11574/9191 10286/11573/9190 10278/11563/9181 +f 10280/11550/9170 10288/11567/9185 10287/11574/9191 10279/11565/9183 +f 10281/11566/9184 10289/11575/9192 10296/11576/9193 10288/11567/9185 +f 10282/11568/9186 10290/11577/9194 10289/11578/9192 10281/11569/9184 +f 10283/11570/9187 10291/11579/9195 10290/11577/9194 10282/11568/9186 +f 10284/11571/9188 10292/11580/9196 10291/11579/9195 10283/11570/9187 +f 10285/11572/9189 10293/11581/9197 10292/11580/9196 10284/11571/9188 +f 10286/11573/9190 10294/11582/9198 10293/11581/9197 10285/11572/9189 +f 10287/11574/9191 10295/11583/9199 10294/11582/9198 10286/11573/9190 +f 10288/11567/9185 10296/11576/9193 10295/11583/9199 10287/11574/9191 +f 10297/11584/9200 10305/11585/9201 10312/11586/9202 10304/11587/9202 +f 10298/11588/9203 10306/11589/9203 10305/11590/9201 10297/11591/9200 +f 10299/11592/9204 10307/11593/9205 10306/11589/9203 10298/11588/9203 +f 10300/11594/9206 10308/11595/9206 10307/11593/9205 10299/11592/9204 +f 10301/11596/9207 10309/11597/9207 10308/11595/9206 10300/11594/9206 +f 10302/11598/9208 10310/11599/9208 10309/11597/9207 10301/11596/9207 +f 10303/11600/9209 10311/11601/9209 10310/11599/9208 10302/11598/9208 +f 10304/11587/9202 10312/11586/9202 10311/11601/9209 10303/11600/9209 +f 10305/11585/9201 10313/11602/9210 10320/11603/9211 10312/11586/9202 +f 10306/11589/9203 10314/11604/9212 10313/11605/9210 10305/11590/9201 +f 10307/11593/9205 10315/11606/9213 10314/11604/9212 10306/11589/9203 +f 10308/11595/9206 10316/11607/9214 10315/11606/9213 10307/11593/9205 +f 10309/11597/9207 10317/11608/9215 10316/11607/9214 10308/11595/9206 +f 10310/11599/9208 10318/11609/9216 10317/11608/9215 10309/11597/9207 +f 10311/11601/9209 10319/11610/9217 10318/11609/9216 10310/11599/9208 +f 10312/11586/9202 10320/11603/9211 10319/11610/9217 10311/11601/9209 +f 10313/11602/9210 10321/11611/9218 10328/11612/9219 10320/11603/9211 +f 10314/11604/9212 10322/11613/9220 10321/11614/9218 10313/11605/9210 +f 10315/11606/9213 10323/11615/9221 10322/11613/9220 10314/11604/9212 +f 10316/11607/9214 10324/11616/9222 10323/11615/9221 10315/11606/9213 +f 10317/11608/9215 10325/11617/9223 10324/11616/9222 10316/11607/9214 +f 10318/11609/9216 10326/11618/9224 10325/11617/9223 10317/11608/9215 +f 10319/11610/9217 10327/11619/9225 10326/11618/9224 10318/11609/9216 +f 10320/11603/9211 10328/11612/9219 10327/11619/9225 10319/11610/9217 +f 10321/11611/9218 10329/11620/9226 10336/11621/9227 10328/11612/9219 +f 10322/11613/9220 10330/11622/9228 10329/11623/9226 10321/11614/9218 +f 10323/11615/9221 10331/11624/9229 10330/11622/9228 10322/11613/9220 +f 10324/11616/9222 10332/11625/9230 10331/11624/9229 10323/11615/9221 +f 10325/11617/9223 10333/11626/9231 10332/11625/9230 10324/11616/9222 +f 10326/11618/9224 10334/11627/9232 10333/11626/9231 10325/11617/9223 +f 10327/11619/9225 10335/11628/9233 10334/11627/9232 10326/11618/9224 +f 10328/11612/9219 10336/11621/9227 10335/11628/9233 10327/11619/9225 +f 10329/11620/9226 10337/11629/9234 10344/11630/9235 10336/11621/9227 +f 10330/11622/9228 10338/11631/9236 10337/11632/9234 10329/11623/9226 +f 10331/11624/9229 10339/11633/9237 10338/11631/9236 10330/11622/9228 +f 10332/11625/9230 10340/11634/9238 10339/11633/9237 10331/11624/9229 +f 10333/11626/9231 10341/11635/9239 10340/11634/9238 10332/11625/9230 +f 10334/11627/9232 10342/11636/9240 10341/11635/9239 10333/11626/9231 +f 10335/11628/9233 10343/11637/9241 10342/11636/9240 10334/11627/9232 +f 10336/11621/9227 10344/11630/9235 10343/11637/9241 10335/11628/9233 +f 10337/11629/9234 10345/11638/9242 10352/11639/9243 10344/11630/9235 +f 10338/11631/9236 10346/11640/9244 10345/11641/9242 10337/11632/9234 +f 10339/11633/9237 10347/11642/9245 10346/11640/9244 10338/11631/9236 +f 10340/11634/9238 10348/11643/9246 10347/11642/9245 10339/11633/9237 +f 10341/11635/9239 10349/11644/9247 10348/11643/9246 10340/11634/9238 +f 10342/11636/9240 10350/11645/9248 10349/11644/9247 10341/11635/9239 +f 10343/11637/9241 10351/11646/9249 10350/11645/9248 10342/11636/9240 +f 10344/11630/9235 10352/11639/9243 10351/11646/9249 10343/11637/9241 +f 10353/11647/9250 10361/11648/9250 10368/11649/9251 10360/11650/9252 +f 10354/11651/9253 10362/11652/9253 10361/11653/9250 10353/11654/9250 +f 10355/11655/9254 10363/11656/9254 10362/11652/9253 10354/11651/9253 +f 10356/11657/9255 10364/11658/9256 10363/11656/9254 10355/11655/9254 +f 10357/11659/9257 10365/11660/9257 10364/11658/9256 10356/11657/9255 +f 10358/11661/9258 10366/11662/9258 10365/11660/9257 10357/11659/9257 +f 10359/11663/9259 10367/11664/9259 10366/11662/9258 10358/11661/9258 +f 10360/11650/9252 10368/11649/9251 10367/11664/9259 10359/11663/9259 +f 10361/11648/9250 10369/11665/9260 10376/11666/9261 10368/11649/9251 +f 10362/11652/9253 10370/11667/9262 10369/11668/9260 10361/11653/9250 +f 10363/11656/9254 10371/11669/9263 10370/11667/9262 10362/11652/9253 +f 10364/11658/9256 10372/11670/9264 10371/11669/9263 10363/11656/9254 +f 10365/11660/9257 10373/11671/9265 10372/11670/9264 10364/11658/9256 +f 10366/11662/9258 10374/11672/9266 10373/11671/9265 10365/11660/9257 +f 10367/11664/9259 10375/11673/9267 10374/11672/9266 10366/11662/9258 +f 10368/11649/9251 10376/11666/9261 10375/11673/9267 10367/11664/9259 +f 10369/11665/9260 10377/11674/9268 10384/11675/9269 10376/11666/9261 +f 10370/11667/9262 10378/11676/9270 10377/11677/9268 10369/11668/9260 +f 10371/11669/9263 10379/11678/9271 10378/11676/9270 10370/11667/9262 +f 10372/11670/9264 10380/11679/9272 10379/11678/9271 10371/11669/9263 +f 10373/11671/9265 10381/11680/9273 10380/11679/9272 10372/11670/9264 +f 10374/11672/9266 10382/11681/9274 10381/11680/9273 10373/11671/9265 +f 10375/11673/9267 10383/11682/9275 10382/11681/9274 10374/11672/9266 +f 10376/11666/9261 10384/11675/9269 10383/11682/9275 10375/11673/9267 +f 10377/11674/9268 10385/11683/9276 10392/11684/9277 10384/11675/9269 +f 10378/11676/9270 10386/11685/9278 10385/11686/9276 10377/11677/9268 +f 10379/11678/9271 10387/11687/9279 10386/11685/9278 10378/11676/9270 +f 10380/11679/9272 10388/11688/9280 10387/11687/9279 10379/11678/9271 +f 10381/11680/9273 10389/11689/9281 10388/11688/9280 10380/11679/9272 +f 10382/11681/9274 10390/11690/9282 10389/11689/9281 10381/11680/9273 +f 10383/11682/9275 10391/11691/9283 10390/11690/9282 10382/11681/9274 +f 10384/11675/9269 10392/11684/9277 10391/11691/9283 10383/11682/9275 +f 10385/11683/9276 10393/11692/9284 10400/11693/9285 10392/11684/9277 +f 10386/11685/9278 10394/11694/9286 10393/11695/9284 10385/11686/9276 +f 10387/11687/9279 10395/11696/9287 10394/11694/9286 10386/11685/9278 +f 10388/11688/9280 10396/11697/9288 10395/11696/9287 10387/11687/9279 +f 10389/11689/9281 10397/11698/9289 10396/11697/9288 10388/11688/9280 +f 10390/11690/9282 10398/11699/9290 10397/11698/9289 10389/11689/9281 +f 10391/11691/9283 10399/11700/9291 10398/11699/9290 10390/11690/9282 +f 10392/11684/9277 10400/11693/9285 10399/11700/9291 10391/11691/9283 +f 10393/11692/9284 10401/11701/9292 10408/11702/9293 10400/11693/9285 +f 10394/11694/9286 10402/11703/9294 10401/11704/9292 10393/11695/9284 +f 10395/11696/9287 10403/11705/9295 10402/11703/9294 10394/11694/9286 +f 10396/11697/9288 10404/11706/9296 10403/11705/9295 10395/11696/9287 +f 10397/11698/9289 10405/11707/9297 10404/11706/9296 10396/11697/9288 +f 10398/11699/9290 10406/11708/9298 10405/11707/9297 10397/11698/9289 +f 10399/11700/9291 10407/11709/9299 10406/11708/9298 10398/11699/9290 +f 10400/11693/9285 10408/11702/9293 10407/11709/9299 10399/11700/9291 +f 10409/11710/9300 10417/11711/9301 10424/11712/9302 10416/11713/9303 +f 10410/11714/9304 10418/11715/9305 10417/11716/9301 10409/11717/9300 +f 10411/11718/9306 10419/11719/9306 10418/11715/9305 10410/11714/9304 +f 10412/11720/9307 10420/11721/9307 10419/11719/9306 10411/11718/9306 +f 10413/11722/9308 10421/11723/9308 10420/11721/9307 10412/11720/9307 +f 10414/11724/9309 10422/11725/9309 10421/11723/9308 10413/11722/9308 +f 10415/11726/9310 10423/11727/9311 10422/11725/9309 10414/11724/9309 +f 10416/11713/9303 10424/11712/9302 10423/11727/9311 10415/11726/9310 +f 10417/11711/9301 10425/11728/9312 10432/11729/9313 10424/11712/9302 +f 10418/11715/9305 10426/11730/9314 10425/11731/9312 10417/11716/9301 +f 10419/11719/9306 10427/11732/9315 10426/11730/9314 10418/11715/9305 +f 10420/11721/9307 10428/11733/9316 10427/11732/9315 10419/11719/9306 +f 10421/11723/9308 10429/11734/9317 10428/11733/9316 10420/11721/9307 +f 10422/11725/9309 10430/11735/9318 10429/11734/9317 10421/11723/9308 +f 10423/11727/9311 10431/11736/9319 10430/11735/9318 10422/11725/9309 +f 10424/11712/9302 10432/11729/9313 10431/11736/9319 10423/11727/9311 +f 10425/11728/9312 10433/11737/9320 10440/11738/9321 10432/11729/9313 +f 10426/11730/9314 10434/11739/9322 10433/11740/9320 10425/11731/9312 +f 10427/11732/9315 10435/11741/9323 10434/11739/9322 10426/11730/9314 +f 10428/11733/9316 10436/11742/9324 10435/11741/9323 10427/11732/9315 +f 10429/11734/9317 10437/11743/9325 10436/11742/9324 10428/11733/9316 +f 10430/11735/9318 10438/11744/9326 10437/11743/9325 10429/11734/9317 +f 10431/11736/9319 10439/11745/9327 10438/11744/9326 10430/11735/9318 +f 10432/11729/9313 10440/11738/9321 10439/11745/9327 10431/11736/9319 +f 10441/11746/9328 10449/11747/9328 10456/11748/9329 10448/11749/9329 +f 10442/11750/9330 10450/11751/9330 10449/11752/9328 10441/11753/9328 +f 10443/11754/9331 10451/11755/9331 10450/11751/9330 10442/11750/9330 +f 10444/11756/9332 10452/11757/9333 10451/11755/9331 10443/11754/9331 +f 10445/11758/9334 10453/11759/9335 10452/11757/9333 10444/11756/9332 +f 10446/11760/9336 10454/11761/9337 10453/11759/9335 10445/11758/9334 +f 10447/11762/9338 10455/11763/9339 10454/11761/9337 10446/11760/9336 +f 10448/11749/9329 10456/11748/9329 10455/11763/9339 10447/11762/9338 +f 10449/11747/9328 10457/11764/9340 10464/11765/9341 10456/11748/9329 +f 10450/11751/9330 10458/11766/9342 10457/11767/9340 10449/11752/9328 +f 10451/11755/9331 10459/11768/9343 10458/11766/9342 10450/11751/9330 +f 10452/11757/9333 10460/11769/9344 10459/11768/9343 10451/11755/9331 +f 10453/11759/9335 10461/11770/9345 10460/11769/9344 10452/11757/9333 +f 10454/11761/9337 10462/11771/9346 10461/11770/9345 10453/11759/9335 +f 10455/11763/9339 10463/11772/9347 10462/11771/9346 10454/11761/9337 +f 10456/11748/9329 10464/11765/9341 10463/11772/9347 10455/11763/9339 +f 10457/11764/9340 10465/11773/9348 10472/11774/9349 10464/11765/9341 +f 10458/11766/9342 10466/11775/9350 10465/11776/9348 10457/11767/9340 +f 10459/11768/9343 10467/11777/9351 10466/11775/9350 10458/11766/9342 +f 10460/11769/9344 10468/11778/9352 10467/11777/9351 10459/11768/9343 +f 10461/11770/9345 10469/11779/9353 10468/11778/9352 10460/11769/9344 +f 10462/11771/9346 10470/11780/9354 10469/11779/9353 10461/11770/9345 +f 10463/11772/9347 10471/11781/9355 10470/11780/9354 10462/11771/9346 +f 10464/11765/9341 10472/11774/9349 10471/11781/9355 10463/11772/9347 +f 10473/11782/9356 10481/11783/9356 10488/11784/9357 10480/11785/9357 +f 10474/11786/9358 10482/11787/9358 10481/11788/9356 10473/11789/9356 +f 10475/11790/9359 10483/11791/9360 10482/11787/9358 10474/11786/9358 +f 10476/11792/9361 10484/11793/9362 10483/11791/9360 10475/11790/9359 +f 10477/11794/9363 10485/11795/9364 10484/11793/9362 10476/11792/9361 +f 10478/11796/9365 10486/11797/9365 10485/11795/9364 10477/11794/9363 +f 10479/11798/9366 10487/11799/9367 10486/11797/9365 10478/11796/9365 +f 10480/11785/9357 10488/11784/9357 10487/11799/9367 10479/11798/9366 +f 10481/11783/9356 10489/11800/9368 10496/11801/9369 10488/11784/9357 +f 10482/11787/9358 10490/11802/9370 10489/11803/9368 10481/11788/9356 +f 10483/11791/9360 10491/11804/9371 10490/11802/9370 10482/11787/9358 +f 10484/11793/9362 10492/11805/9372 10491/11804/9371 10483/11791/9360 +f 10485/11795/9364 10493/11806/9373 10492/11805/9372 10484/11793/9362 +f 10486/11797/9365 10494/11807/9374 10493/11806/9373 10485/11795/9364 +f 10487/11799/9367 10495/11808/9375 10494/11807/9374 10486/11797/9365 +f 10488/11784/9357 10496/11801/9369 10495/11808/9375 10487/11799/9367 +f 10489/11800/9368 10497/11809/9376 10504/11810/9377 10496/11801/9369 +f 10490/11802/9370 10498/11811/9378 10497/11812/9376 10489/11803/9368 +f 10491/11804/9371 10499/11813/9379 10498/11811/9378 10490/11802/9370 +f 10492/11805/9372 10500/11814/9380 10499/11813/9379 10491/11804/9371 +f 10493/11806/9373 10501/11815/9381 10500/11814/9380 10492/11805/9372 +f 10494/11807/9374 10502/11816/9382 10501/11815/9381 10493/11806/9373 +f 10495/11808/9375 10503/11817/9383 10502/11816/9382 10494/11807/9374 +f 10496/11801/9369 10504/11810/9377 10503/11817/9383 10495/11808/9375 diff --git a/data/scenes/movingtrees/tree10_a.xml b/data/scenes/movingtrees/tree10_a.xml new file mode 100644 index 000000000..3c74af042 --- /dev/null +++ b/data/scenes/movingtrees/tree10_a.xml @@ -0,0 +1,32015 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/data/surveys/movingtrees_tls/tls_tree10_a.xml b/data/surveys/movingtrees_tls/tls_tree10_a.xml new file mode 100644 index 000000000..a2d4cc069 --- /dev/null +++ b/data/surveys/movingtrees_tls/tls_tree10_a.xml @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file From dbc14012916fa50ef36ae16d801b92f555b331ed Mon Sep 17 00:00:00 2001 From: han16nah Date: Thu, 24 Aug 2023 16:27:22 +0200 Subject: [PATCH 03/10] add first version of moving tree notebook --- example_notebooks/16_tree_dynamic.ipynb | 948 +++++++++++++++++++++++ example_notebooks/16_trees_dynamic.ipynb | 220 ------ 2 files changed, 948 insertions(+), 220 deletions(-) create mode 100644 example_notebooks/16_tree_dynamic.ipynb delete mode 100644 example_notebooks/16_trees_dynamic.ipynb diff --git a/example_notebooks/16_tree_dynamic.ipynb b/example_notebooks/16_tree_dynamic.ipynb new file mode 100644 index 000000000..fe45eac36 --- /dev/null +++ b/example_notebooks/16_tree_dynamic.ipynb @@ -0,0 +1,948 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Terrestrial Laser Scanning of a Small Apple Tree with Leaf Flutter\n", + "\n", + "Notebook: Hannah Weiser, 2023\n", + "\n", + "This is a demonstration of scanning a [dynamic scene](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes), consisting of a tree with moving leaves.\n", + "\n", + "We will use the command-line access of HELIOS++ to run the simulation, and use Python just for displaying the input XMLs and the resulting point clouds." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:47.799832Z", + "start_time": "2023-08-24T14:57:47.400770Z" + } + }, + "outputs": [], + "source": [ + "import sys, os\n", + "from pathlib import Path\n", + "from IPython.display import Code\n", + "\n", + "current_folder = globals()['_dh'][0]\n", + "helios_path = str(Path(current_folder).parent)\n", + "sys.path.append(helios_path) # add helios-plusplus directory to PATH\n", + "import pyhelios\n", + "\n", + "from pyhelios.util.xmldisplayer import display_xml, find_playback_dir\n", + "\n", + "os.chdir(helios_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Scene\n", + "\n", + "The scene was generated in [Blender](https://www.blender.org/) using three add-ons:\n", + "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were separated \"By Loose Parts\" to obtain each leaf separately.\n", + "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g, Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles x, y and z will be sampled at each time step.\n", + "- [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h): This add-on allows exporting dynamic Blender scenes (i.e., scenes with rigid motions) to HELIOS++ sceneparts and scenes. It considers translations and rotations.\n", + "\n", + "Finally, further modifications were made:\n", + "- A wavefront material template library (MTL) was assigned, which contains `helios_spectra` and `helios_classification` for the different materials (leaf and wood) to assign realistic reflectance values and to create an automatic classification of the output point cloud.\n", + "\n", + "The exported scene is very large, but you can have a look [here](https://github.com/3dgeo-heidelberg/helios/blob/dev/data/scenes/movingtrees/tree10_a.xml)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Platform and Scanner\n", + "\n", + "We are performing a terrestrial laser scanning (TLS) simulation from a static tripod with a RIEGL VZ-400. Platform and scanner are shown below:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:47.840833Z", + "start_time": "2023-08-24T14:57:47.801834Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
<platform id="tripod" name="TLS Tripod" type="static" drag="0">\n",
+       "\t\t<scannerMount x="0" y="0" z="1.5">\n",
+       "\t\t</scannerMount>\n",
+       "\t</platform>\n",
+       "\t\n",
+       "
\n" + ], + "text/latex": [ + "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n", + "\\PY{n+nt}{\\PYZlt{}platform}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}TLS Tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{type=}\\PY{l+s}{\\PYZdq{}static\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{drag=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}scannerMount}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/scannerMount\\PYZgt{}}\n", + "\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/platform\\PYZgt{}}\n", + "\\PY{+w}{\t}\n", + "\\end{Verbatim}\n" + ], + "text/plain": [ + "\n", + "\t\t\n", + "\t\t\n", + "\t\n", + "\t" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/platforms.xml', 'tripod'), language='XML')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:49.147915Z", + "start_time": "2023-08-24T14:57:49.113915Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
<scanner id="riegl_vz400" name="RIEGL VZ-400" accuracy_m="0.005" beamDivergence_rad="0.0003" headRotatePerSecMax_deg="60" optics="rotating" pulseFreqs_Hz="100000,300000" pulseLength_ns="5" rangeMin_m="1.5" scanAngleMax_deg="120" scanAngleEffectiveMax_deg="50" scanFreqMin_Hz="3" scanFreqMax_Hz="120">\n",
+       "\t\t\n",
+       "\t\t<FWFSettings beamSampleQuality="3" />\t\n",
+       "\t\t<beamOrigin x="0" y="0" z="0.2">\n",
+       "\t\t\t<rot axis="y" angle_deg="0" />\n",
+       "\t\t\t<rot axis="z" angle_deg="0" />\n",
+       "\t\t\t<rot axis="x" angle_deg="0" />\n",
+       "\t\t</beamOrigin>\n",
+       "\t\t<headRotateAxis x="0" y="0" z="1" />\n",
+       "\t\t\n",
+       "\t</scanner>\n",
+       "\t\n",
+       "
\n" + ], + "text/latex": [ + "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n", + "\\PY{n+nt}{\\PYZlt{}scanner}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}RIEGL VZ\\PYZhy{}400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{accuracy\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}0.005\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{beamDivergence\\PYZus{}rad=}\\PY{l+s}{\\PYZdq{}0.0003\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotatePerSecMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}60\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{optics=}\\PY{l+s}{\\PYZdq{}rotating\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreqs\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}100000,300000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseLength\\PYZus{}ns=}\\PY{l+s}{\\PYZdq{}5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{rangeMin\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleEffectiveMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}50\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMin\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMax\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{\t\t}\n", + "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}FWFSettings}\\PY{+w}{ }\\PY{n+na}{beamSampleQuality=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t}\n", + "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}beamOrigin}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.2\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}y\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}z\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/beamOrigin\\PYZgt{}}\n", + "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}headRotateAxis}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{\t\t}\n", + "\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/scanner\\PYZgt{}}\n", + "\\PY{+w}{\t}\n", + "\\end{Verbatim}\n" + ], + "text/plain": [ + "\n", + "\t\t\n", + "\t\t\t\n", + "\t\t\n", + "\t\t\t\n", + "\t\t\t\n", + "\t\t\t\n", + "\t\t\n", + "\t\t\n", + "\t\t\n", + "\t\n", + "\t" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/scanners_tls.xml', 'riegl_vz400'), language='XML')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Survey\n", + "\n", + "Six scan positions are created, regularly distributed on a circle around the tree. From each position, the scanner is pointing towards the tree and scans in a horizontal field of view of 90° and a vertical FOV of 100°. Vertical and horizontal resolution are set to 0.04 ° which corresponds to a point spacing of 7 mm at 10 m range." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:51.772948Z", + "start_time": "2023-08-24T14:57:51.743947Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
<document>\n",
+       "        <scannerSettings id="tls" active="true" pulseFreq_hz="600000" verticalResolution_deg="0.04" horizontalResolution_deg="0.04" />\n",
+       "        <survey name="tls_tree10_a" platform="data/platforms.xml#tripod" scanner="data/scanners_tls.xml#riegl_vz400" scene="data/scenes/movingtrees/tree10_a.xml#tree10">\n",
+       "            <leg>\n",
+       "            <platformSettings x="3.0000" y="0.0000" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="45.0000" headRotateStop_deg="135.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="1.5000" y="2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="105.0000" headRotateStop_deg="195.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="-1.5000" y="2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-195.0000" headRotateStop_deg="-105.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="-3.0000" y="0.0000" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-135.0000" headRotateStop_deg="-45.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="-1.5000" y="-2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-75.0000" headRotateStop_deg="15.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="1.5000" y="-2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-15.0000" headRotateStop_deg="75.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        \n",
+       "        </survey>\n",
+       "    </document>\n",
+       "
\n" + ], + "text/latex": [ + "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n", + "\\PY{n+nt}{\\PYZlt{}document}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{active=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreq\\PYZus{}hz=}\\PY{l+s}{\\PYZdq{}600000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{verticalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{horizontalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}survey}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}tls\\PYZus{}tree10\\PYZus{}a\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{platform=}\\PY{l+s}{\\PYZdq{}data/platforms.xml\\PYZsh{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanner=}\\PY{l+s}{\\PYZdq{}data/scanners\\PYZus{}tls.xml\\PYZsh{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scene=}\\PY{l+s}{\\PYZdq{}data/scenes/movingtrees/tree10\\PYZus{}a.xml\\PYZsh{}tree10\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}105.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}195.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}195.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}105.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}75.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}15.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}15.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}75.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n", + "\\PY{+w}{ }\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/survey\\PYZgt{}}\n", + "\\PY{+w}{ }\\PY{n+nt}{\\PYZlt{}/document\\PYZgt{}}\n", + "\\end{Verbatim}\n" + ], + "text/plain": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/surveys/movingtrees_tls/tls_tree10_a.xml'), language='XML')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Running the Simulation\n", + "\n", + "Let's run the simulation. This will take considerably longer than for static scenes.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "!\"run/helios\" data/surveys/movingtrees_tls/tls_tree10_a.xml \"--lasOutput\" \"--zipOutput\" \"-q\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Loading the Simulated Point Cloud" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:56.500130Z", + "start_time": "2023-08-24T14:57:55.415394Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import laspy\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:36.006928Z", + "start_time": "2023-08-24T15:53:35.504869Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading points from output/tls_tree10_a/2023-08-24_14-01-38\n" + ] + } + ], + "source": [ + "output_path = find_playback_dir('data/surveys/movingtrees_tls/tls_tree10_a.xml')\n", + "\n", + "print('Loading points from', Path(output_path).relative_to(helios_path).as_posix())\n", + "\n", + "def read_pc(path, pt_src_id):\n", + " las = laspy.read(path)\n", + " pc = np.array([las.x, las.y, las.z]).T\n", + " object_id = las['hitObjectId']\n", + " gps_time = las['gps_time']\n", + " classification = las['classification']\n", + " pt_src_id = np.repeat(pt_src_id, pc.shape[0])\n", + "\n", + " return pc, object_id, gps_time, classification, pt_src_id\n", + "\n", + "pc_1, object_id_1, gps_time_1, classification_1, pt_src_id_1 = read_pc(Path(output_path) / 'leg000_points.laz', 1)\n", + "pc_2, object_id_2, gps_time_2, classification_2, pt_src_id_2 = read_pc(Path(output_path) / 'leg001_points.laz', 2)\n", + "pc_3, object_id_3, gps_time_3, classification_3, pt_src_id_3 = read_pc(Path(output_path) / 'leg002_points.laz', 3)\n", + "pc_4, object_id_4, gps_time_4, classification_4, pt_src_id_4 = read_pc(Path(output_path) / 'leg003_points.laz', 4)\n", + "pc_5, object_id_5, gps_time_5, classification_5, pt_src_id_5 = read_pc(Path(output_path) / 'leg004_points.laz', 5)\n", + "pc_6, object_id_6, gps_time_6, classification_6, pt_src_id_6 = read_pc(Path(output_path) / 'leg005_points.laz', 6)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:39.088884Z", + "start_time": "2023-08-24T15:53:39.041884Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Merging files\n" + ] + } + ], + "source": [ + "print('Merging files')\n", + "\n", + "pc = np.vstack((pc_1, pc_2, pc_3, pc_4, pc_5, pc_6))\n", + "object_id = np.hstack((object_id_1, object_id_2, object_id_3, object_id_4, object_id_5, object_id_6))\n", + "gps_time = np.hstack((gps_time_1, gps_time_2, gps_time_3, gps_time_4, gps_time_5, gps_time_6))\n", + "classification = np.hstack((classification_1, classification_2, classification_3, classification_4, classification_5, classification_6))\n", + "pt_src_id = np.hstack((pt_src_id_1, pt_src_id_2, pt_src_id_3, pt_src_id_4, pt_src_id_5, pt_src_id_6))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:48.363756Z", + "start_time": "2023-08-24T15:53:46.963776Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib figure\n", + "fig = plt.figure(figsize=(12, 6))\n", + "\n", + "# First subplot\n", + "ax1 = fig.add_subplot(1,2,1, projection='3d', computed_zorder=False)\n", + "sc1 = ax1.scatter(pc[::10, 0],\n", + " pc[::10, 1],\n", + " pc[::10, 2],\n", + " c=object_id[::10], cmap='prism',\n", + " s=0.02, zorder=1)\n", + "\n", + "ax1.set_xlabel('$X$')\n", + "ax1.set_ylabel('$Y$')\n", + "ax1.set_zticks([])\n", + "# set equal axes\n", + "box = (np.ptp(pc[:, 0]), np.ptp(pc[:, 1]), np.ptp(pc[:, 2]))\n", + "ax1.set_box_aspect(box)\n", + "ax1.set_title(label='a) Coloured by Object ID', fontsize=18)\n", + "\n", + "# Second subplot\n", + "from matplotlib.colors import LinearSegmentedColormap\n", + "colours = ['#784e10', '#2f7810']\n", + "class_cmap = LinearSegmentedColormap.from_list('classification', colours, N=2)\n", + "\n", + "ax2 = fig.add_subplot(1,2,2, projection='3d', computed_zorder=False)\n", + "sc2 = ax2.scatter(pc[::10, 0],\n", + " pc[::10, 1],\n", + " pc[::10, 2],\n", + " c=classification[::10], cmap=class_cmap,\n", + " s=0.02, zorder=1)\n", + "\n", + "ax2.set_xlabel('$X$')\n", + "ax2.set_ylabel('$Y$')\n", + "ax2.set_zticks([])\n", + "ax2.set_box_aspect(box)\n", + "ax2.set_title(label='b) Coloured by Classification', fontsize=18)\n", + "\n", + "# Adjust subplots\n", + "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n", + " wspace=0.02, hspace=0.02)\n", + "# Add color bar and set ticks and tick labels\n", + "cb_ax = fig.add_axes([0.83, 0.25, 0.01, 0.5])\n", + "tick_locs = [0.25, 0.75]\n", + "cbar = fig.colorbar(sc2, cax=cb_ax, ticks=tick_locs)\n", + "cbar.ax.set_yticklabels(['wood', 'leaf'], fontsize=15)\n", + "\n", + "# Display results\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's have a look at a few specific leaves, some of which are static and some of which are moving." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:50.486726Z", + "start_time": "2023-08-24T15:53:50.461725Z" + } + }, + "outputs": [], + "source": [ + "def clip_by_bb(pts, xmin, xmax, ymin, ymax, zmin, zmax):\n", + " clip_index = ((pts[:, 0] > xmin) &\n", + " (pts[:, 0] < xmax) &\n", + " (pts[:, 1] > ymin) &\n", + " (pts[:, 1] < ymax) &\n", + " (pts[:, 2] > zmin) &\n", + " (pts[:, 2] < zmax))\n", + " return clip_index\n", + "\n", + "clip_idx = clip_by_bb(pc, -0.392, 0.0527, -0.183, 0.381, 1.233, 1.640)\n", + "pc_clipped = pc[clip_idx]\n", + "pt_src_id_clipped = pt_src_id[clip_idx]\n", + "object_id_clipped = object_id[clip_idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:55.703656Z", + "start_time": "2023-08-24T15:53:54.043677Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1wAAAHPCAYAAABHiNsAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3wkR5X4v909eUYjaZTz5pzsdc4RG/CBbczZJsPPpIM7Y9JhosFgfHAYmxyOeMdhOMBgsI0B57i2N693vVGrlXaVpdHk0N31+2N2ZqVdhZmRtFLL9d2PPlrNdHW/ru6qV6/q1XuKEEIgkUgkEolEIpFIJJIpR51pASQSiUQikUgkEolkriINLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENringzjvvRFEUPv/5z8+0KJNGURQUReHxxx+faVFmJbfddhuKonDRRRcVXPaiiy5CURRuu+22KZdrNjGZOpqK8hLJyWQy7do0TVauXIndbmf37t1TL9xJ5Oc//zmKojBv3ryZFmXWMm/ePBRF4ec//3lB5Q4ePJjTzQcPHpwW2SSvTiY75nv88cdz55CMjzS4poAPf/jDVFZW8o1vfIPDhw9PyTkNw+C3v/0t73jHO1iyZAllZWU4HA6qq6s577zzuPXWW9mxY8eUXEsiGc6+ffu49dZbOf3006mqqsLhcFBbW8u5557LF7/4RY4cOTLTIp5UtmzZwm233cbdd989qfNkB6RjDZqyg7HhP3a7nYqKChYuXMhVV13F5z//ebZs2TIpOSSzB1VV+dznPoeu63zyk5+csvP29PRw5513cvnll9PY2Ijb7cbr9TJv3jyuvvpqfvSjHxEMBqfsehLJhg0buOmmm1i+fDklJSU4nU6ampo47bTTeM973sPPf/5z2tvbZ1rMk0J20vD4H5fLRWNjI294wxv47W9/ixBipkUdk2AwyG233cZtt90m+4qpQkimhK9+9asCEO9+97snfa7nnntOLFmyRAC5H7vdLgKBgFBVdcTn1157rUgmk1NwBxmy533sscem7JxziS984QsCEBdeeGHBZS+88EIBiC984QtTLtdUoOu6+PjHPy5sNlvuPdA0TZSXl4947zwej/j6178+5nkmU0dCCPHtb39bLF26VLz97W8v8k6mlp/97GcCEC0tLVNyHkC0trae8H1LS4sAhMvlEjU1NaKmpkZUV1cLl8s1os0D4qyzzhJbt26dlDySqWGy7dowDLFixQoBiCeeeGJSspimKb7yla8Ij8cz4n3x+XyipKRkxGelpaXiJz/5yaSuN5ypaidzmWwb/9nPflZQudbW1nH7jpnENE1x8803j3i3FEUR5eXlwul0jvj8ne9850yLe1LI6kAg15fX1NSc0Je/9rWvFYlEYkZlXbp0qVi6dKnYsGHDiM/zfec2bNiQO4dkfOQK1xRx0003YbPZ+O///m86OzuLPs+f//xnLrroIvbs2UNFRQVf/epX2bNnD6lUiv7+flKpFC+++CKf+tSn8Pv9/OEPfyAWi03hnUhejZimyZve9Cb+8z//E13XufLKK3niiSdIJpMMDAwQj8f561//yjnnnEMsFuMTn/gE//Zv/zYtsnz4wx/mlVde4Ze//OW0nH+2c/3119PV1UVXVxfd3d3E43GGhoZ49NFHee9734vT6eT555/n9NNP5y9/+ctMiyuZJKqq8t73vheAr33ta0WfRwjB29/+dj7zmc8Qi8U488wz+f3vf8/g4CDhcJhQKMTQ0BD33Xcf//RP/8TQ0BD333//VN2G5FXKN7/5Te655x4A3vjGN/Lss8+SSCQYGBggkUhw4MABfvKTn3DllVeiadoMS3vyyfblXV1dRKNRduzYweWXXw7AQw89xGc/+9kZle+VV17hlVde4Ywzziiq/BlnnJE7h2R8pME1RVRWVnLFFVeg6zo//elPizrH3r17edvb3kYymWTFihVs2bKFT33qUyxevDh3jKZpnHbaaXz1q1+ltbWVN77xjVN1C5JXMV/+8pf505/+BMCnPvUpHnroIS644IKcgnQ4HFxxxRU89dRTvOMd7wDg29/+Nv/93/89YzK/mvD7/Vx88cX86Ec/4oUXXqCpqYlUKsUNN9zA3r17Z1o8ySS58cYb0TSNhx56iEOHDhV1jq997Wv86le/AuAjH/kIzz33HNdeey1lZWW5Y/x+P1dffTX3338/TzzxBI2NjVMhvuRVihCCu+66C4Arr7ySP/7xj5x99tk4HI7cMfPnz+c973kPDz30EN/5zndmStRZgaqqrFy5kvvvv59FixYB8MMf/hBd12dYMsnJQBpcRxkaGuLee+/lrW99K6tXryYQCOByuWhpaeEtb3kLzz///ITneMtb3gLAj3/846Jk+OxnP0soFMLlcnHfffdNqAwDgQB//OMfKS0tPeG7rq4uPvGJT7By5Up8Ph9er5eVK1fyyU9+ku7u7qLkA0gkEtx9992cc845lJeX5+roHe94x7h7S/LZmDne5vPh5Xt6evjoRz/KkiVL8Hg8o27WfPzxx7nxxhtpbm7G5XJRWlrKGWecwde+9jWi0ei49/jQQw9x+eWXU1ZWhs/nY+3atXzta18jnU6PW64QUqkUd955J2vWrMHr9VJeXs7ll1/OQw89dMKxu3btyt3/Cy+8MO553/72txcccKK3t5c777wTgIsvvpg77rhjzGNVVeVHP/oRy5cvB+DWW28llUqNe/7f/va3XHjhhQQCAbxeL+vXr+c73/kOhmGMenw+QTOGhob4yle+wplnnkl5eXluv8CNN96YV1v929/+xg033EBLSwtut5tAIMCaNWv413/9V5577rnccYqi8O53vxuAtra2E3zyZyIAypo1a/jd736HoihEo1G+9KUvnXQZJKNTSLseTk1NDZdccgmmafKTn/yk4Ov29fVx++23A3DppZdy1113TbiJ/YILLuBb3/rWqN89/vjjvPnNb6ahoQGn00llZSWXXnopP/vZz8Zst/mwf/9+PvjBD7J48WLcbjd+v59TTz2VL33pS4RCoVHL5BOMY7ygEseXf+yxx7j66qupq6tD0zTe9a53jTg+kUjwrW99iwsvvJDKysrcHtarr76av/71r+PeXzwe58tf/jIrVqzA7XZTXV3N6173Oh555JGJqqYg9u7dy7ve9S4aGxtxOp00NzfzgQ98YNQ95J/61KdQFIWVK1eOe85QKITP5ysoqEdfX1/umm94wxsmPN7tdo/5XX9/P1/60pc488wzc+OvefPmccUVV/CDH/yAoaGhEcf39PTw05/+lGuvvZbly5dTWlqK2+1m0aJF3HTTTbz88stjXutd73oXiqLknv3vfvc7LrroIgKBAB6Ph3Xr1nHPPfdgmmYetVA4LpeLN7/5zQCEw+ETVoeKaScAHR0d3HLLLaxcuRKv14vT6aS+vp7169dzyy238OKLL55QZrSx2UUXXcT8+fNzf8+fP3+E3huum/MJmlHMePT4Nt3d3c3NN9/M/Pnzcblc1NTUcMMNN1hrZW2mfRpnC8N9bjnq8z7c/1hRFHHPPfeMe4729vbc8Tt37izo+l1dXbl9Mv/v//2/ydyKePzxx0VZWdmIPTderzf3d3l5uXjqqadGLZs9ZrQ9XB0dHWLVqlUj9pWVlpbm/lZVVXzrW98q+LxZxtsLkS3/4x//WNTU1OT2umT3JWRJp9PipptuOuFZapqW+3vp0qXi4MGDo8pw/HtQVlaW29N0wQUXiFtvvXXSe7huvfVWcf755wtA2Gy2Ec9qrPvPlh3v3RgYGMj5iP/qV7/KW64777wzd+3HH388rzK/+MUvcmV+85vfjPhu+B6uT37ykyN8+ofvBbviiitG9V+faA/Y888/n3sHOLrPbPj+FEVRxB133DFq2Wg0Kt785jePqO+SkpIRbX3t2rW542tqaoTf78+938P98Wtqasbdy3Y8+e7hynefw+tf/3oBCIfDIWKxWN5ySKaWybTr4dx+++0CEGeccUbBMnzta1/LXWesvj1fbrnllhFtqaysbET/eckll4hQKHRCuYn2cP3mN78Z0c6Ob3dNTU2j6s189oaNt99kePl77rlHKIqS28Nmt9tHtLc9e/aIxYsXj7j/4ToOEB/84AdHlaG/v1+ccsopueOGvwOKoojvfe97U7KH69577831dz6fT7jd7tx3gUBAbNy4cUTZAwcO5O55vHfj+9//fq5eotFoXnL19PTkrv3pT3+6oHsazsMPPyzKy8tHrbvsz3333TeizDvf+c4R3/v9/hH7j51Op/jd73436vWyZd/5zneKD33oQ7n+/fhrvuMd7yjqfoaPI8biu9/9bu6YZ555Jvd5se1ky5YtI+owu/86++zH0i2jjc2uueYaUVlZmfuusrJyhN675pprcsc+9thj495rsePR4e/8X/7yF1FdXZ0rP7w+/H6/2LJly5j1PJuQBtdRvv/974tbbrlFPP/882JwcFAIkdkMeuDAAXHzzTcLRVGEpmli06ZN456nvr5eAOL73/9+Qdf/9a9/PeLlKpZDhw7lXu4VK1aIp59+Ovfdk08+KZYuXZrrmDs6Ok4oP1rjEyITUOHMM8/Mdcj/8z//kwvWsX//fnHVVVflyj744IN5n3c4+RhcPp9PLF26VDzyyCPCMAwhhBC7d+/OHZfdvFtTUyO+973vif7+fiGEEKlUSjz22GM5hXjqqafmymf505/+lLvOm9/8ZnHo0CEhhBCxWEx897vfFQ6HI1e3kzG4SktLhdPpFD/4wQ9EPB4XQmSe23XXXZe7/p/+9KcRZe+9914BCK/XO+pgRwghvvWtbwlAVFRUFLQR9zWveU2uXL4MDQ3lOvIPfOADI77LKpvsQOXDH/6w6OnpyZW7/fbbc2VvueWWE849nsHV2tqaewbXXXed2Lhxo0in00IIIbq7u8XnPve5nNI9XkELIcQ///M/55Trv//7v4v29nYhRKatd3R0iF/96lcn3M/JDpqRr8H1ve99L3e+Rx99dFKySYpnMu16OH/7299yg81wOFyQDFdccUVuYDQZvv3tb+dkfd/73ic6OzuFEEJEIhHxzW9+M9e2rr/++hPKjtdONm7cKOx2uwDEueeemwv4YhiGuP/++0VdXZ0AxMKFC0+496kyuFwul9A0TbzrXe/K9e26rot9+/YJIYQYHBwU8+bNyxmVTz75ZK4fDQaD4q677hI+n08A4u677z5BhmuuuSY30B/+Dhw8eFBcc801wm6354KZTMbgKi0tFWvWrMkFOTBNUzz88MOiublZAKK5ufkEHXHllVdOaECceuqpuf66EObPn58zDP72t78VVFYIITZt2pSbKFy5cqV48MEHRSqVEkJkJshefPFF8bGPfUz84x//GFHutttuE5/97GfF5s2bRSQSEUJk3qcdO3aIt771rTl9efjw4ROumTW4ysvLhcPhEHfddZcYGhoSQgjR19c3YtL2kUceKfie8jG4PvGJT+SO2bVrlxBicu3k0ksvzY1tnnvuOWGaphBCiGQyKfbs2SP+8z//U3zta187QY6xxmb5Bs0Yz+CazHh0+PXLy8vFueeeK1588UUhRGZi/e9//3uuPs4///wx5ZtNSIMrT7KzIBOtPmVnnQudGfnsZz+be7lG6yDy5QMf+EDuBc0qy+G0t7fnZuw/9KEPnfD9WI0vO+AHxF//+tcTyqXT6ZxBtmrVqrzPO5x8DC6/358bJB/P9u3bhaIowuPxiG3bto16TCgUEo2NjaMOyLORwi688MITjDEhhPjBD36Qk2MyBhcwanQwwzDEBRdckOuchpNKpXIzPD/4wQ9GPf/q1asFID760Y8WJFdDQ4MAxGWXXVZQuYULFwpAnHfeeSM+H65sxoo0mH3fbTbbCe/7eAZXdvA6XgTDu+66S8DIlSohhPjHP/6Rk+t73/tefjcpZq/B9cwzz+TO9+Mf/3hSskmKZzLteji9vb1FG9DZPu3yyy8vWP4ssVhMBAIBAYgbb7xx1GOykzpAbvCTZbx2kh3wL1q0aNTVk02bNuWMueNXjafK4IJMVN+x+PjHP54ztrKTOMfzhz/8IWfYDj9mw4YN474Duq6L8847L3fMZAyuiooK0d3dfcIxO3fuFA6HQwAnDKz/+Mc/CkC43e7chPJwNm7cmDv/WLpzLH71q1/lymaf09vf/nZx9913i2eeeWbCyb9svSxevFgEg8GCrj0e2bHY7bfffsJ3w1fHxnoW69evF4C46aabCr72RAbX0NBQbnI+EAjkxhuTaSfZlc5nn322IFmn0+CazHh0+PWXLVs2qhfH/fffnztmrHHhbELu4cqT17/+9QA8/fTT4x5XWVkJUHCuov7+/tz/A4FAgdJlEELw29/+FoAPfOAD1NbWnnBMY2MjH/jABwC499578z73b37zGwDOPvtsrrjiihO+t9lsfOELXwBgx44dbN++vWD58+Htb3/7mHvbfvKTnyCE4PWvfz2rV68e9ZiSkhKuvvpqAB5++OHc59u2bWPnzp1AZi+dqp7YNN773vfS0NAwyTuApqam3L6g4aiqmotYtHPnzhF1aLfb+X//7/8B8KMf/eiEss8//3zu+Pe9730FyZN99yoqKgoql33Xh7+7xzNWMvBPfOITuN1udF3n97//fV7XGxgY4A9/+AOQ2ZcwFtmgHlu3bh3hH54NZrNy5Uo++MEP5nXN2czwfmJgYGAGJZFAce16OIFAINfvFKs/itUdAH//+99z79FYexP/5V/+hbq6OgB+/etf53XeYDCY62s/8YlP4PF4TjjmlFNO4dprry3ovMVw6623jvq5ECLXP3zsYx/DZrONetzVV1+N3++nr6+PjRs35j7P6tKx3gFN0/jc5z43WfGBjG6vrq4+4fPly5dz3XXXjZAny1VXXUVTUxPxeHzUQEdZnXL22WePqTvH4i1veQv33ntvTi+3tbXx3//933zkIx/h3HPPpby8nBtuuIGtW7eeUHbv3r25MdUdd9wx6n70YslnzNbU1JTTF8eT3ZO2bdu2KZMpGAzyyCOPcMkll+Ta+M0334yqqpNuJ9ngOJOJkj2VTOV49GMf+9io+/9e+9rX5gK0TNeYcyqRBtcwDhw4wMc//nHWr19PWVkZmqblNu297nWvAzKbEscjq/B6e3sLuraYggR4ra2tOYV52WWXjXlcNiRpf38/ra2teZ37pZdemvC8F198cS6qXfb4qebcc88d87tsx/rQQw9RW1s75s/PfvYzIKMYsmTltdlsnH/++aOeX1XVgoJRjEU2OMhoXHDBBTllf3wdvu9970NVVTZt2sSmTZtGfJcN1HLhhReydOnSouQqNFP8RO9sU1NTLhLT8fj9ftavXw/k/64899xzuU3Ml1xyyZjPd/jm8OHP+NlnnwXgn/7pn/K63mxnKvoMydRRbLvOoqpqbsBZqP7IUmgbHk5WrqamJpYsWTLqMZqmcckll4w4fiI2bdqUe1fz0Uvbtm2b0gBFWdxuN6eeeuqo3+3cuTOnO9/1rneN2bfU1dURiUSA0fVHvu/AZMjW/3jfHV+HmqZx0003AScG9YpGo7nBe6GTdVmuv/56Dhw4wIMPPshHP/pRzjvvPEpKSoBMIJHf/OY3nHbaaSdcO9sna5rGa1/72oKvu3XrVv7lX/6FNWvW4Pf7UVU1N2b7l3/5F2D8Mdvpp58+6uQqQH19PTD5yazhwSbKy8u57LLLcsb62972Nj7zmc8Ak28nV111FQDvfOc7+djHPsYTTzwxoymDpnI8euaZZ476uc1mo6qqCrDGpOPkW/8c4b777uPGG28kmUzmPvP7/bhcLhRFIZVKMTg4OGGEu6wVnkgkCrp+drUAMi9OtrEXQk9PT+7/463EDF8h6unpGRGNZqJzj3del8tFZWUl3d3dI2SZSkab2cuSnTGKRCI5pTgewzujrLyVlZU4nc4xy0xFGOXx6tDpdFJRUTFqHWYjNj300EP86Ec/4gc/+AGQiS6VXYF8//vfX7A8FRUVHD58mL6+voLKTbQyNtFqYPb7fN+V4bP++UbaHP6Mu7q6AGhpacmr7GxncHAw9/9CVyclU0+x7Xo4brebwcHBgvVHRUUFHR0d4642T0Q+fTwc6wPzbbeF6iVd1xkYGKCmpiav8+dLRUXFmIPr4X1LvsbuaPpjIv2YfQcmw3jXyH43Wh3edNNN3H777Wzfvp3nn3+es846C8isLIRCIcrKyvjnf/7nouWy2+289rWvzRlOpmmydetWfvGLX/Dd734XXdf54Ac/yBlnnMHatWuBY31yZWUlXq+3oOt95zvf4eabb85NwimKQmlpaU5/x+NxQqHQuGO2rFE4GlnjeLLG//BnkI34ecopp/DWt76Viy++OPfdZNvJ1772Nfbt28djjz3GXXfdxV133YWmaaxbt47Xv/71vO9975sSD518mcrx6Ml4TicDucJFZuD4rne9i2QyySWXXMLjjz9OLBZjaGiI7u5uurq6+L//+7+8zpW1sgsdAA2fld+8eXNBZUcj35nOQmdEp+u8+TJe4sRsuOI777wTkdmfOO7PaCHqp0vuqbpG1hXuf//3f3OKJPv/ioqKnLtBIaxYsQIo7L0LhUIcOHAAYMxww1Ndl9nn63a783q+QogRK5JZeU7GMz4ZDHfRWbhw4QxKIoGpea8mqz/GS82RLzPdx0/XufPRHZAxAvLpW44PJz9dck/VNerr63NucsPd0rOrTm9729tGdWMrFlVVOeWUU7j77rtz1zMMI+dhMpxC72nXrl185CMfwTRN3vzmN/PCCy+QSCQYHBzMJRnO5gebaU+A4YmP29ra2LhxI//1X/81wtgqluH1VlZWxqOPPspTTz3FJz/5Sc4991xsNhsbN27kS1/6EosXL55Wd9185ZyK46yKNLiABx98kFAoRHl5OX/+85+58MILT/AXzc7ETERWYWaXOfPl4osvzs2+3XfffQWVzTJ89ae9vX3M44YvsecrZ/bc4503kUjkZliPP29W2Y03c3t8no1CyfoIF+PLm72/3t7eEaucxzNanpNCGc/FIZlM5upwtNW817/+9TQ3NxMOh3M+z1mF+a53vWvc1bmxuPTSS4HMxMN4edKGc9999+UU2VguLhO532brcrxVy+Fkn288Hmffvn15lRmt/PF5eqzKAw88AGRmTbOz1ZKZYzLtGjJ9Y7Z/LFR/ZNtwb2/vhPuMxyKfPh6O3WehumN42fHOa7PZKC8vz32encE+GboDJqc/8n0HJsN418j2qTabbdT9fNn9Mr/5zW8IhUJs376dDRs2AMW7E+bDO97xjtyYavfu3bnPs/sBe3t7J/QeGs7vfvc7DMNg+fLl3HvvvZx++ukjki1D/mO22cJk20mW8847j//4j//g6aefJhgM8qc//YnVq1cTj8d5z3veM+kV1nyZzvGoVZEGF8dehqVLl445w/OPf/wjr3NlfVCziWHzpaamhje96U1AZsViz549eZfNDnznz5+f62THS7SYvZeKioq83AkBTjvttAnP+/jjj+cypp9++ukjvst2DGM1vHA4zK5du/KSZSyy+7seeOCBvFwKh5O9P13XxxywmKaZt0EyHk888cSYs25PPfVUrg6zMg1HVVXe+973AplZyuH7ubKfF8q73/1uXC4XAF/60pcmnBFMJpP8x3/8B5CZNc0GITme9vZ29u/fP+p34XA458c+2n2OxjnnnJObASsk4Mvw8gB//vOfCyqXnQiZ6ZnS4bzwwgs8+OCDANxwww255yeZOSbTroHcijEUrj/e/e5353TXbbfdlve7Ojyxa1aujo6OMfWPYRg89thjwIl9/FiceuqpuTaUj15au3Ytdrs993lWd/T09Iw5GZY1Gopl1apV+P1+oLi+JVt3470DTz75ZO4dmAzZ+h/vuzVr1oyowyyXXXYZixYtIhaL8atf/So3WVdMsIxC0DQt10cNnxTM9smGYUyYHHw42XHE2rVrx3QTzXfMNluYbDsZDZfLxRve8IZcsKlEIpH3hMzwei1G903neNSqSIMLchuV9+zZM+os2pYtW/jf//3fCc+TTCZzbj4XXnhhwXJ8+ctfxufzEY/HufbaaydcTRkcHORNb3pTbnZPURSuv/56AH74wx+OOsNz5MgRfvjDHwJw44035i3bDTfcAGQCF/ztb3874Xtd1/nSl74EZJTXqlWrRnyf9dkeKyLdf/7nf467spQP733ve1EUhWAwyCc+8Ylxj02n0yOMsjVr1uQGOV/5yldGzTD/05/+dMJVm3w4dOgQv/jFL0743DRN7rjjDiAz4BpLAd50003YbDZeeOEFPvKRjwCTC5ZRXV3NJz/5SSCjsD/96U+Peaxpmrz//e/PGcd33HHHCTOLw7n99ttH/fwb3/gG8Xgcm82WtxtkdXU1b3zjGwH4+te/PuGkxPGbaLNRHl9++WW+//3v53VNIDcQCwaDeZeZTrZv3851112HEAKv1ztl0c8kk2Oy7TprNNTU1BTclisrK3OREB955BE+9rGPTThIeuaZZ7j55ptzf19++eU5V8axohT+8Ic/zO13yld/lJWV5SLbfv3rXx91I//WrVtzuuH482Z1hxBiVO+PeDzON7/5zbxkGQubzcZ73vMeAH7xi19MOCg9vm/J6t3x3oEvf/nLk5Ixyw9+8INR99vu3r2b3/3udyPkOR5FUXL7fL/3ve/xP//zP0Dxq1upVGpcAzDLn//859ye0+GBSxYtWsQFF1wAwKc//WlCoVBe182O2bZv3z7qe/7QQw9NyeToyWQy7UTX9VHHLFmGe2yN51o7nKzeg+J033SORy3LFIeZtyR79uwRqqrm8nRkE7Alk0nxm9/8RlRVVYmKiopx8yoIIcRzzz2Xyy00VnLaibjvvvtyuTQqKyvFnXfeKfbu3Zv7Xtd1sWnTJvG5z30ul1BueF6N9vb23OcrV64ckcH86aefFsuXL8/lfphM4uNf/epXueSEBw4cEG94wxtyZUdLfPxf//Vfue8///nP55IM9vb2iltvvXVElvfx8nCNl8dLCCFuueWW3LHXXXed2Lx5cy4BoK7rYsuWLeJLX/qSaGpqOiG7eTbHCmQSe2bzOsTjcfH9739fOJ3OKUt87HK5xI9+9KMRCVKzSXkB8Yc//GHcc73pTW8akfvkf//3fwuWZziGYYxIXv3a175WPPnkk0LXdSFEJg/Yww8/LM4999zcMR/84AdHPdfxiY//7d/+TfT29gohMnnQvvKVr+Ta28033zxm+dHqeP/+/bm2WFVVJX7yk5+MyN3S29srfv/734trrrlGvOY1rzmh/A033CAgk/j4U5/61IjEx4cPHxY//vGPxXve854RZfbu3Zu759/85jd51edoTCYPVygUEo899ph43/vel0sS6nA4Rm1rkpPLVLXr97///QIQ//zP/1yUHKZpiuuvvz53rbPPPlv84Q9/yPW1QmTeoz//+c/immuuEYqiiDe+8Y0jzjE88fH73/9+0dXVJYTIJKD91re+lUvKWmji402bNuXKnnfeeblcT4ZhiAceeCCXk2i0hK5CHMvVVFdXJ/7+97/n+qWXXnpJnHPOObn8YaO1rXzz6PX39+dyC3q9XvGNb3wjl7BdiEzy44ceeki84x3vGDWfWlYHZt+BbP6ptrY2cd11101p4uN169aJF154QQiRee5///vfc/1HU1PTiGd+PH19fcLpdObOV1ZWNmqOo3wIh8MCEKeccor4xje+IbZu3Zp7NoZhiIMHD4rbbrstd99+v/+EvIubN2/O9WmrVq0SDz300IjEx88//7x4//vfL/7+97/nygzPqfjBD35Q9Pf3CyEyCbp/8IMfCI/Hk9MToz33bB6u8XIeTib/Yj6Jj0ej2HbS2toqFixYIG6//XaxadOmETnitm7dKi666KLce52tqyzjja2yOTr/9V//dczcdOPl4ZrMeDTfPGDZ977QNjUTSIPrKP/+7/8+YgBbWlqae/Hnz58/IrnfWNx6660CEFdfffWkZHn66afFokWLRsjjcDhEIBDIDVQBoSiKuPHGG3OdU5bHH388N9jNNjKv1zuig33yySdHvfZ4ja+jo0OsXLlyhEzZxpQdxN5zzz2jnlfXdXHxxRePkL28vFwoiiIURRFf//rX80p8PJHBpeu6+MhHPjKi7lwul6ioqMglDMz+DM96nuUzn/nMiGPKy8tz5c4///zcM56MwXXrrbfmBhB2u12Ul5ePuOZnP/vZCc81XOFUVFRMmFwyH9LptLjllltG1JOmaSe8dy6XS9x5551jnme4wfTJT34y924EAgGhaVruPJdddlluYDpW+dHYtGmTmDdv3gnvks/nG1GPoyVyjkaj4tprrx1xnN/vHzEAOT5hshBCXHrppbnvS0pKREtLi2hpaRHf/OY3863evA0ul8slampqRE1Njaiurs4NVob/nHPOOWL79u15X1syfUxFuzYMI5e8+I9//GPRspimKb74xS/mkqAOf2dLSkpGfBYIBMQvf/nLE84xfNIq27aG9wkXX3zxqBOKEw1Q77333txkYrbdZQfaWUNh586do5bdvHnzCPldLldOp9XU1IgHHnhgzLZVyMD5wIEDYu3atSPqqaysLJecNfuzaNGiE8r29fWNKGu323P6UVEU8d3vfrfoweHwwee9996bqwufzzeifygrKzshIfVovO1tb8uV+fCHP1yQLMOJRqMj+vThOiM7fsr+VFdXjznuePjhh0eMWUZrP/fdd9+IMtnJs+H3npVl/fr1uckDKxlcQhTXToa/H8OfwfDzOBwO8X//938nXG+8sdXtt9+e+97pdIqmpibR0tIyYsJlPINLiOLHo9LgmuP88pe/FGeccYZwu93C4/GI5cuXi09/+tMiGAxO+FKZppl78A899NCkZdF1Xfz6178Wb33rW8WiRYuE3+8XdrtdVFZWivPOO0985jOfEa+88sqY5Ts7O8XHPvYxsXz58hH38/GPf3zUjN9Zxmt8QmRWe+666y5x1llnidLSUuFwOERTU5N4+9vfLjZv3jzuPcViMfHFL35RLFu2TDidThEIBMQVV1wh/vGPfwghxJQYXFk2bdok3ve+94mlS5cKr9crbDabqKqqEueee6647bbbxJYtW8Ys+5e//EVccsklwu/3C4/HI1avXi3uvPNOkUqlJjQGxmP4/SWTSXHHHXeIVatWCY/HI0pLS8Wll14qHnjggbzOZZpmblb3Yx/7WMGyjMeePXvEJz/5SbF+/XpRUVEh7Ha7qKqqEmeffbb4whe+MOrK6HCOr6N7771XnH/++aKsrEy43W6xbt06cc899+RmQicqPxqxWEx85zvfEZdddpmoqqoSNptNeDwesXjxYvGWt7xF3HvvveOuMv/lL38R11xzjaivrxcOh0NUVFSINWvWiH/7t38TGzZsOOH4wcFBccstt4glS5aMUH6jvatjka/BNfzHZrOJ8vJysWDBAvH6179efO5znxv33ZWcfKaiXT/66KMCEA0NDWO2i0Lo7OwUd9xxh7jkkktEfX29cDqdwu12i5aWFnH11VeL//qv/xq3fTz66KPiTW96k6itrc0Nfi+++GLx05/+dEz58hmg7t27V7z//e8XCxcuFE6nU/h8PrFu3TrxxS9+cdxVGSGE2LVrl7jhhhtEdXW1cDgcoqWlRXzoQx8SnZ2d4w7OCh04p9Np8ctf/lJcddVVoq6uTtjtduFyucT8+fPFNddcI37605/mVuyPJxqNjtBxlZWV4sorr8zpuKkwuFpbW8Xu3bvFO97xDtHQ0CAcDodoaGgQ733ve3Mr9hPxpz/9KXe+7CpKsfT19Ylf/vKX4qabbhLr16/PTay5XC7R2NgorrjiCnHPPfdM+Hx7enrEZz7zGXHKKafkjIx58+aJK664Qvzwhz88obxhGOLuu+8Wa9asEU6nU5SUlIh169aJr371qyKRSIz73GezwSVE4e0klUqJ+++/X9xyyy3irLPOEo2NjcLhcAiPxyNWrFghPvShD4k9e/aMeq3xxlaGYYh77rlHnHbaacLn8wlFUU7QzRONjYUobjw6Fw0uRYhZtBPcwjz55JNceOGFLFy4kD179oy5kVMimQo2btyY26j9yiuvFL1/azby2c9+lq985Su85jWv4eGHH55pcSSSaec973kPP/vZz/jiF7/I5z//+ZkWRzLH+dd//Ve+853vcPbZZ+eSD0skkulFWgVTxFe/+lUgE/hCGluS6ebb3/42kAnJPpeMLTgW2niqE59KJLOR9vZ2fvWrX1FVVZULgiORTBehUIhf/vKXwLG8jhKJZPqRlsEUsGHDBv76179yxhlnjBkdSCKZKh588MFcdKmPf/zjMyzN1LJ9+3b+8pe/AJlQxRLJXOeOO+4glUpx2223jYgMJpFMNclkkptvvplQKERTU5Mcr0gkJxHbTAswF+jt7eULX/gC11xzzZzPlC2ZGTo6OjjvvPOIxWL09vYCcNVVV/Ha1752hiWbGv76179y/fXX58ICNzQ08Ja3vGWGpZJIphfTNGlububLX/7ytCaelby6ufvuu7n77rvp6ekhHo8DcNddd42b0kMikUwt0uCaAq666iquuuqqmRZDMofRdZ22tjYURaGxsZHrrrtuzBxXViSRSBAOh6msrOSSSy7hq1/9ai7XikQyV1FVlVtvvXWmxZDMcYLBIG1tbbhcLtatW8ett97KddddN9NiSSSvKmTQDIlEIpFIJBKJRCKZJuQeLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwT0uCSSCQSiUQikUgkkmlCGlwSiUQikUgkEolEMk1Ig0sikUgkEolEIpFIpglpcEkkEolEIpFIJBLJNCENLolEIpFIJBKJRCKZJqTBJZFIJBKJRCKRSCTThDS4JBKJRCKRSCQSiWSakAaXRCKRSCQSiUQikUwTtpkWQDI1CCFIpVKYpomqqiiKAoCiKCP+P9rv4/8vkUgkEslUkk6n0XVd6ieJRPKqRBpccwAhBIlEgkQigaZp2O323OeQUVZCiNzvaDTKwMAAzc3Nue+PV3xSCUokEolksgghSKfTxGIxAJxO54jvjtdP6XSa9vZ2Fi5cCEj9JJFI5gbS4LI4WQMqlUqhqip2ux1VHd1TNKvU4vE4hw8fpqWlBSFE7uf4447/PRypBCUSiUQyHtnJwHg8jqIoOByOMfVT9nhd12ltbWXRokWT1k/D/y/1k0QimUmkwWVhhBDEYjFefPFFGhoaqKurG/f44Qomq6QmUjCjKTNppEkkEolkPLLG1rZt23A4HCxatGjCvlxRFFRVzVs/Za9z/N/F6qfs7+z/s8ah1E8SiWSySIPLopimSSwWy61sFUJW4eR7bD6fHc9UKMFwOIyiKPj9/tx1pZEmkUgksxshBPF4nGQyOa36KXv8eH+PJd9Ynw3/PZ5+yurf8vLygicSpX6SSF59SIPLghiGQSwWI51OY7PZcjOC+VLo8cUwFUrw8OHDKIqCz+cbcYycqZRIJJLZiWmaOWNL07SC9U22Hx6tb58qiplIPP4eBgYG6Onp4dRTTz3BWMueL1/9JI00iWTuIw0ui2EYBtFoFF3XsdlsuY66UIU23QZXMRyvULKKeiKf/7E+y3emcvi1pRKUSCSS4hjueZE1topdsZpOg6sYRtMZU6Wfhp9vvOtJ/SSRWBdpcFkIXdeJRqOYppkztiDTqZqmmfd5ZqvBdTz53NdUzFQO/6wYI80wDIQQOBwOqQQlEsmrktEmA6E4/QSj99OziXz68anUT8Nd8seKQDyWUajrOk6nU+oniWQGkQaXRciG1TUMY4Qyg+J83me7MptOptpIO3z4ML29vZxyyim5c8mZSolE8mohOxk4mn5SVRVd1/M+V3bFyAo6ajpkLFY/HX9M1kAbGBjg5Zdf5rzzzsuda6qDW0n9JJFMjDS4ZjnZhMbxeBwhxAnKDOauwTWb5BxPCWYVkqZpI76f6plKqQQlEslsY7zJQCh+hauQMjPBbOpfJ9JPwKj6aSwjTeoniWTqkQbXLCYbVjeRSOQG9KN1UsVsSp4thsxEWEXO0ZjqmUqpBCUSyWwilUoRi8XGnAyE4qMOzva+30p6dDSkfpJITi7S4JqlDA+rO9rqyXCGd/z5KIBCZxxnildj5zrdSnDjxo0sWrSIsrIyqQQlEklRCCFIJpPE43GAMScDoTj9lO+xM40VZJxKpls/7dq1i7KyMurr66dMP+Ujo0RyMpAG1yxEiExC4+FhdcdDuhS+uilECWYHSMMVVRY5UymRSCZiNM+L8ZjLK1xWYKblLEQ/JRIJTNPMSz9lP5sO/TSejBJJsUiDa5aRDaubTqfzMrag8BWrk5GHa6qQck4PVnQnyUdGiUQyfRTieZGlmIkzK0y2WUFGqzJd+mn4cVI/SU420uCaRZimSTQazSU0zrfxzuUVLitgFTlhcobhyVaC+/fvp6GhAbfbnbuWVIISycwwWkLjfJirBhdYb6LNChTbXxejn+DEZ5ivfmpvb6e0tJTS0tLctaR+koyHNLhmCYZh0NXVxa5duzjjjDMKaoSTcdmYzY3dKkrXapzMZz4ZI62jo4Pq6mo8Ho+cqZRIZhDTNAmHwzz77LOcccYZeRtbUJxHhRX6fiv1EbO9LrPMhJyj6YyJEELQ3d2N3W7P7YeejH4a/n+pn+Yu0uCaBQxPaJxKpQpuTIW6FFrF4JK8Ojn+/RzNn380ip2plEaaRDI2hmHk3NxTqVTB5QvVT2ANt3crGIWS6WEsI2k8plI/Db82HMtdJ/XT7EYaXDPM8BwmmqYVFT2w0MSSwwe0sxmp0F7dFDohUOxM5fF/F6MEs8FIvF6vnKmUzBl0XScWi6HrOna7HShcbxTrUmiFSLqSqccqfeJM6Kfhnw3/PZF+SqVSJJNJSktLC5pItMqzsArS4JohhBA5Y0uITA6TYmf1JuNSONuxgoxgLTmt0omeDFmnykhrb2/HMAyWL1+e+0zOVEqszFgJjQs1hIo1uGZ7n2oFGcFa/YUV6jPLTOinsT4bzmh12NvbS2dnJ6eddtoJxwx/j0fTM4V6e1jpfTvZSINrBhBi9BwmJ9vgmu0ziFZpuFaR04rMxrody3BSVXXMvS1TNVMplaDkZJBKpYjH45imOcLYOlnGk1WMGSvIKJkeZuvk5VgyZceYo5GvfsqeZ6pd8mdjPU4H0uA6yQgxdg6T7AtczFJ1MXu4ZjtWUbqS6WG2KrTRME1z3EACUzVTOZYSzJ5PGmmSyTDWZGCWyQbAyLesFfp+2T6mB6vUq5X0kxBiWvTT8ccc75IvjbSRSIPrJCJEJodJIpEYNazucFe/Qg2uQhSaVVa4QM4gTjVWUxKvZlmn00jbtm0b1dXV1NbWTqgE7XZ7QVHpJNZkvMnALMUYQnM5SuFsl9FqWKk+rSbrbNFP+Rhp+/btQ9M05s+fP6F+stlseeUDnA1Ig+skkU1onEqlxsxhkv1supXTcMNuNmOVwbZkepjt7+dwJppBPFnkqwSz0VA1TctLCUrmNtnJwIkSGhfqTZEtMxcNLrBOH2UVOcFaet8qspqmOStkzVc/pdPpvPRT1uXZKlhHUgszPKHxeAkjizWEijG4rKDQrCCjZHoYbRPvbGa2KLR8Ge4COZYSlAbXqwMhBLFYLK+ExsUaTyfDSDvZWKm9S6Yeq3lgzIYJwXwZLu9c0k/S4JpmDMMgGo2i6/qIzcejUayr31x12ZBMPVZSEmCdQY3V6tVqBqJkesjH82I4J0vXWEE/WUFGq2Gl+rRSn28lWWHiPdFWRRpc00g2ofHxYXXH4mStcBVb5mRjBRkl04PVVrisPIMoeXUyPKFxPvoJpEuhFbFKH2o1rPR+Wm2CTRpckoIYK4fJeEiD60SsICNYR06rYEWDyyqyQmEKzUr3JcmP4QmN89VPIMPCD8cKMloRq/Q3VurzrTbBlq9+Gh7N0ApY5wlYhKw/fFtb2wk5TCYi+/IUM4MofeRnDqvICdZRErP93TweOYMosQrpdJrW1laSyWRB+glOnkuhqqqzPoquFXSo1bBafVqlz7eK3s8yV/XT3LujGSSbwyQYDLJz584Tcpjkg5xBPIYVZJRMD1Zc4bKSgpirCk0yPqlUilgsxs6dO4uaJJhsWPi5lIdLMj1Yqc+3iqxWnBC0krz5Il0Kp4jhOUyKmQXMcjITS872GUSw3ozXbMcq9WlFg8sqskJ+BpdV3hXJxGQnA7MJjYs1tuUermNYQUbJ9GGlPl8IYZlcVWC9Ccx8kQbXFDA8h4mqqrm8AMU0SJlY8hhW6cyshpXq1SqyWm1GzmrySorn+ITGqqoWPeEmPTBGYgUZrVKXYI36zGI1g8sqssLc9cCQBtckMU0zZ2xlw+oWm8AYTt4M4mRW4U4WUlG8erHiCpeVFES+8lql/iWjM1ZC42L7/8lM7hUy6LNC3y/bxqsbKxkxVpIVpMElGYWxcpgUG20wW1bOIFoLK3VkVsGKBpeVZC3EQLTKfUlGMl5C48mscBUzIZiVZ64ZXLNdRitilf7GSs/eagbMXI2iKw2uIhkvoXGxCYyh+BnEuRqlcLbLaDWsUp9WkTOLlVz0sn2FlRSwpDAmSmhc7ApXsZN7cKxN52N4yb5fYgWs0udbaUIQrKVPC0EaXEUwUUJjK7gUWkGhWUFGK2KFjsyKK1xWMWCkwTW3ySehcbErXMVOCEJh+tAKfb8VZLQaVjIMpKzTh5X0aSFIg6tA8kloPJkVLulSKJlOrPLMraggrCJvtl/KR16r3JMkw3ieF8M5mStcxUxAyjxcU4tV5LQSVuvzrSIrzN0outLgKoBsDhMhxIQJI2diU/J0lznZWEFGK2KFjtdKygyspdDkCtfcZCLPi+EU27dOdg9XIWVk3//qw0rP3Eo6ymorRlbbc5Yv0uDKg+NzmOST0Phkht2dy4klrSCjZHqwijIDaym07EDBSvUrGZ+s54VpmhMaW3By9dNcNbisIKNkerDac7fShCDkb3BZ6Z5AGlwTcnwOk3yTx03GZUPu4cpgtcYkmTpm+7t5PFaa7ZyrEaBejWQnAxOJRC65aT7P7GR7YEDhrqxW6QNme9ufzbKNhpXktYqss/0dHc5cjqJrjSnZGSKbw6RQYwsm57JxslwKpY/81GElOa3QQVlFzixWmkGcq+4arzayk4GFeF5kOZlh4bPlCvHCsELfb5X2Lpl6ZFCn6cNqdVsIcoVrDEzTpKenB13XKSkpKfhlPdlRoOZiYkmrMBc7hpnGagaXlRSaNLisjxCC/v5+YrEYfr+/oMlAOLlBM4opZwX9VEx+Mcn4zPZnnsVqRoHVJgRhbu4xnnt3NAVkc5i0tbXR19dX1IM/2S6FUHgUqNneuVlB6UqmD6soCLDWoMtKyldyItmExkeOHKGjo6NgYwtO7oRgMeVk3//qxQp9k9UMLqtNCEJ+BpdV6j+LXOE6juE5TDRNK7rTn8lNyXMlsaQVZLQSVlISVjJgwFpGTL7KV7a92cfxCY2LfUZWWOGygss7yHYylVilLq2kS8Fa+nQur3BJg2sYuq4Ti8VyOUwmswo0E5uS5QyiZK5gJQUB1pJXBs2wJscnNNY0rWij5GSGhS/melbQT1YxuKxQl1bDavVpNf00V6PoSoPrKKMlNFYUBcMwijrfydyUXExiSSt0wlaQMYtV5LQKVqrPrKxWmZGTe7isx2gJjSczIXgyPTCKKWelvl8ytVhpoG0VWa3U58/lCUFrPIFpJpvQ+PgcJpPJdn8yXTbm6gqXFWQE6zR6K7lBWGlGzkr1CtZyf5RkPC8ikcgJCY0n43Z3Mj0wYKSs+ZSfjO49WVhlhUsy9Vitz7eaPrWKrIXyql7hmiih8WQG/DKxpERSPFbqdAvJLzQbKCSppFXuaa4ymudFlpla4ZIuhRmkwTX1WKUupcE1fVhpNa5QXrUGVz4JjSczy1aswjiZiSWtMINolQ5YMrVYSUFIl0LJVCOEIJVKEY/HEUKcYGyBdTwwji+Xr36Sff+rEyv0+1Y0uKzS589l/TQ372oC8k1oPBNBM2RiyWNYpTOzClZTElaR02r1aiXl+2ok63kRi8WAsRMaT2bSTIaFnzxWWuGygoxgLTmt0t+DtdzI8zW4rPKuDOdVt8KVzWGSTCbRNG3cBzsTCu1kbUq2Qh4usGajkkweKym0uepSKNveySc7GZhMJsedDITJTwjqul5wOelSeCJWkdMqWKEftdozt5o+lUEz5gCmaRKNRvMytmBmXDZOlquHFRSaFWSUTA9WUhBWW+Gayy4bViY7GZhIJFBVdcKExpN1eZ/NE4JW6Put0t4l04OVnr+VVrjmsgfGq2aF6/gcJtPtR36yNyXPRZcNK2GFurSSYWCF+sySNQ6tUK+Qv/K1yv3MBbIJjdPpdF6TgTB5/XSy93ANj1I40btlBf1kFZdCK7Xj2V6XWaw0IQjWMmKsZBwWyqvC4Do+oXG+D9Oqm5LzPV4GzZDMZqzS6VpNQcxllw0rkvW8KMTYAumBMVuwipySqcNKBpcQwlLyzuUounPe4BovrO5EyMSSM4sVZAQ5KJ0OrKQgrDR7CNKlcDYxWkLjfJmpPcYnQ69ZIQ8XyL5/OrBCnVpNP4E16hXmtn6a0wZXKpXilVdewW6309DQUPALNxmFNpOJJUP7onT+Zghnk0b5+hJKFrnRXOoJx1vBmJFMHVbqeK2m0KwiK+RnIGZnRSXTh67rHDhwgGg0ysKFCwt+h2Yqiu5ky/XHQzz0dBvnLTiEWXMq1SUN+JWxj5/NWEVOydRipWcu05bMHuakwTU8oXE8Hi/a5WeyK1wnOyy8aZokutO8/O8dDL0UBQe4quxUnu3Hv9ZL7evLwABnjd0SisIKMkqmBys9dyu6FNrt9pkW41VN1vMiq6cmo5+KMfhnKiy8KZI8sPd+Is/18fATadxX/IXF3itpGrwA9eJSFFs3DTRYqu+3ipxWwEqTV1aR00oTrTC3o+jOOYNrtITGJ9stMFvWMIyiyhVrqCX2p4nvC6MPGBgxIA3R/jTRPf24Wwbpe2qIkuVuFn6ojvQRk7QoXL6TyfBNyVbpLCRTg5WeuRVdCq1St3MNIUTO2MomNJ6Mjsme82Stjk1mQtCmtNHX38dAq4uysILPHyO6O81LO4/gXPV9Dv68nvhpdZy9Lk7UFqXH3osQMJtfVau0IysOTmczVtJPVktbYqW6LZQ5ZXCNlsNkshuLJ1O2mDwnBSnCYdpIVVVSfQZur4qnxUFoZwJiQDJzaHynSfzQEJ0PD9H5lwFEXRqzVBCpT+Bb7CpYTon1sNJMl5U6XSvJCnN7U/JsZrjnBTAl+gmKc8E5GXuxhhtLiqKgHCqhzKly9oFaDg5uJt7cyeP/uAg17SPgO8LhYBfqBpUDNfsZOvsAz9e4WGi8nlW28cPjzzTSmJk6rFKXVurz56pLoVXqfzhzxuAaK6Gxqqqk0+mizjlTQTPyKjcURX1pH2JBDSlHCeruOKm0gYqOmQabD/TwcWUimZ/wYAq8gAkv7drL0o814lnopHSFh/jhFHrEoGSpu2DZpxqrrHDNZtmsymx/5sOx2orRXPaRn62M5nkBk9cxwIy4Bk6EEPDMCxGqmwwq6my87O6jpV+ntquZpnCEjsFqBreaNLXs5shAMwlbnJqqOAe2N3HIn8C50Ul5VTsbW2+l9sLX4EyUUdJ8GvSmUfrTiIUusM/8O2yFdm8FGa2GlfSTlSZaYW5H0Z0TBlc2h0kqlTohrO5MJIfMXnc6NyUr4TgYAg4PkGjtxbExAoEgaqUdPahnnqwCjHYqHRjK/DfyUoo9d3VQfmoJDW+qQHUpGDFBiXs/4pXdqAP9sHwNbN6MaG6GSy4p+J6KxUqNySozc1bCKs/fai6FVpPX6mQ9LxKJxJTqp+x5ZmP6kcE+BXvdEEODBm3OEFt9bdgMF8l0He7EIAt7ynGYgwzUGuiLEtj6wTk/SGdNhPqqbrxpmD/owtsLfwhvovmsPjxRL8tDNah6BEVXiXUEMbaXYS6o58jgy7hKvJy6dsFJdUG00l4zq2CFft9KBpfVXArn8oSg5Q2uiRIaz0QkJ5j+TcmiPgApHaW1B2dPN4FUO1pbhBLRSy8N6EEyBtdE6BDekiK6t5+eRwbwlAu8pREi86J4uzZQGt6Kq/wBxK69KKecgmhpgaoq8PsLvrdikQptarDSTJeVFJqVZIW5rdBmG+NNBsLk9wnPRHj3fMoFqgTN/RUMOF/hcBCMvkU4Q2Genx9nbV+IsvrDPFJWyTYdKvvtiLQdvbOBmgEXieYE+71pSqPQtWMF2kHBr737UA79Dw0HFlOyvJ3X7KxnKNZMarvG4D8eIZQ+gGtZE4GlNkrcHiqpLPjeikXqp1cfVnrmVptgy8djxKpRdC1tcOWT0HgqcpWc7E3JeZVTVbBrgInbm6Z89wHSqUoGu30off0QdYMxLBKZBpwQI0MACsTBjEOiL00CnUG7oM+tUNdUgtc1iNixFyWahGQS7roL3vxmxIUXQk8PlJeDw1HwfebDcJdCyasLKxkx0qVQMhoTGVswuUk9KH6F5WSEha/XNUKajYjTT+SRhTy1eCNXbk1yuLOCB+qqeGB+mvoXIdldwraFGr4Vm9CFgqOnFNMZ5+W2pSxv6KHeG+TI8004T3kBzbaP2udrGRzS6W3ycKDqMP7netjXMEDXriYO/mQPN76hlsqaAAPOIE6cePEWfJ+F1IcVsIoOtUq/bxU5wVqyQkberMv1XMOyBpeu60Sj0QkTGk+Vy0YxYXenOwqUsvsw6sttCKcdVRjYy0wUQ4c0oOgc8yd0jGJsQc7gyrke2gCBUAR6JE1wv4ekJ4Z3aABhAgN98MxTcMoaqKmBjg6UdBrxutcVfJ953Z+FOgkrYBWlC9aT1UrvqtUMRCuSb0LjySb4Lbb8yQgLP9hmsrdfwV6RJlaSRtnXgKtsgP6AoM+zm9d0afgGSjji0pm/YBuDaYXuxg7O3e1HRAXdCujOBANOG6WHAzTtWcbAyr24gwa93gEGjuwhXdtNeEGcyM5TCVXF2dkZpfcVjYUDcfr87djTNubPXw6O6ZlgkC6Fr16s0odaUT/N1bQllpzmTKVSRKNRTNMcV5nBzPrIT3sUqOVNoJsQDBEur8BIaQQaYrj0/sznKEd/UmSssOODh4gRvwBw2lHVJIbpJJnw0DlwBkmjPOMXHwqhHDwE998Hjz4KAwOZMkVEYywEqdCmFit0vlZSElZ02Zirm5JnA7quE4lEJjS2YPIG18nOp5XVT3m5vS9w0Wu3MXBIo9x2EN0WZM8iF8/FFrE81s7S7la0UJJ1A0GGdi8hmEpDl5dddhO7PYK+dgcLFrUS0nXCwkm4cxlmqopWV5r9BxrpL2vDqO9gx+ByfDYF0xPkUOML/G5bJ7/dcoj0kELIG2HIHir4PgthtusnK7Xh2V6XWaykn6zm0TCXo+ha5ylwLNJTLBbDNE00TZuwwudqFCildwjh9yCaKlB7ghi6m4TqxXNGJbYyJw5bksyyVlZ2g2OWVXb167jrlALJFGZCxckALnqIUskgixEmKLqJSCRgzz7o7oSGBqirK/ge88VKLoVWkNFqWKUztdqKkdUUsJVIp9N5eV5kmYzLO8xMPi2YuL8bGgBVE8z31RFKqaTdYUxbHF+ogvKqML6XazGTNsKLBoiev410cwfqK6vxbVvNthIvDzdFqXbvIaUbBAcqSeyrotnZS1lYId3VSCxZStdQFQNtzSg9ZaR9Ecw1L1CRTmFsdWMPmWi+MkoanNOayMtK7V4ydVjJ4LKSrDC39ZOl7upnP/sZO3bsAMjL2AJrrnDlVS4UQ314A5hhiESpPrKPUrUDfe8gSpkDV5WGw53kmFGVXe1KH/0szTFj7CiRFBljzI6JSQld2EkQo5ooNbmzcKQT9cE/o/z61zA4CDbLeqZKZilWUhJWkhWstyJnFf70pz/x+OOP5+V5kcVqK1z56sTIkMIL3SohUY6qlJAe9KE2RTlSt49YQkVfFqfGnqCmfJC9pQr2/kocQ24Sa/bjWbGLFmEj8MRpGAfrCA5UoZQm6YsqDDx4Kq7dJehuL/2VKYI7VtJfm2LXij7m2XWu0MIsqGxFGXoMte/7uEP9lFJa8H0Wgpxsm1qs0Jda6ZlbTT9Jg2uW8L3vfY8dO3bkbWzB5INmwMld4crXpVDUBaCiFDp6EMlBkgEH5qE0hx82CLUqqKkEhmnnmKE1Vn1l3Q1Tw/Z5GSQJMMhCnAxh4CBKJTpaxnxLGZixFMLjRgwOwsGDBd9nPlhlhcsqnZnVohRaBasZMPkoNCvV/2zht7/9LY899lhB+mmyQTNm6wpXVb0goMHAoEDfX8bKHU3EX66l+x8OareGMXuacVXFGSpJYg7Ng7YmeqNV+Gp6WeceoG7H6aS2X8YjRjN2RwJ3dR+DS47gO/tZEmu24u610bBlEZ7m7SQW7qR0/i7OCBzCYUtyMNBBsmY/riPLse8vQdkbK/g+C6kP2VZenVhBj4L1DBireYwUgnWeAuB0OkmlUgWVmaxL4ckOu5u3vC47QjNQnt+Nun8A4XGRXlmBzZ3CNjRANOTCSE70eIcH1lDIWFxRIAnYiVGPnQHK2I2GQYKyY3IqKsrrrwKfD4pMLD0RVjG4JFOPlWblrKYgrKaArUJWPxXyLgyPhFsMkwmaUayhBhNPQtqdAs3Ww4E2aI0opLDRXFLGkZIUA94tOPaECMXThKJ11FYEsTWEMJN2Bjub4PnTiNW30r3sAJ6DNdSW9RNa+hKJFXvQFsbwL+nEm0wTfuYcguFqmktaWWzAwMtL2bl9EZHqIDZ3msj6FQx53KSnST8Nrw/J1GAVXW8l/WQlWcF6E5iFYKm7cjqdJBKJgspMRRSo2RZ2V+kLoT7zMkpvF5Q5wFAwbCbpqEG50k6p0otbC3IsSIYY4/fw7MjZz+xH/2+SxkYaHwoCAztGNryu24Xo70X55jdRYrERPvLCHF32+KEkRrL45yCZPFZRZmAtJWElWcF6BqJVcLlcReknKL5tTjYsfKFl85oEC+oMHjpCtMOOSHeRdGjsX+ykRiRpLHUysFph++l2/lR/LgeNxQw+vYqa6n2sXf8Atk4vh9xeAiVDVKzdRbXRTTipsi5pp2VrJUs3lbNwQMXEIG0a6AfqWT0Ag4qHnc2D6IadlrCHI4t38/vBe+mev5O9y3fmRDMFjCZ6lwnhIrtHK/SrVpAxixX6Jiv1+VaSFeb2hKClNt8Uu8I1Ez7y01bOMEAIhKGj9QahVCNWWoXeF8Ye7CVpKyOFDczsitXwF9cc9luQDQOf+Tu7p8sOmLjpRiOBho6BRpJKbKQJ04BiuPDVOxCRCOLRv6GUl6A3LECYgiP/N0B0Txx7lR1HuY2y072YumBocwxXnYOaK0oJ74qjeVQclTY0l4qijd4ZyBWuqccqHa+VlITVZuTmchSomcTpdBKJRAoqk30OxQ4yitVvxaY8mahPNgRoAkqjZUQP91MTbiHsMHFgkmoz8PZotJ7qwlWyl/hjF1OpxVi4eCu1Q34Mt+A1a17C1iCwxWN4+0N0uOtwOUxKDtdguAQpNQqHauht7qLV62ORbZD5wTT7+muoq2tn4bpNbI9Xczi8jJKkn42v7OB9vsVQoUOpxv/pcdqDHVSGKlCaPSy0HWJ9fBGdL0Zx1ThYvszFfvZjKibNohmBwIVrwvqQTA1W0fVW0k9WM2DmchRdyxlcyWSyoDIzFQWqmHLqyy9jG1ZOaWuDaBQxb15mJamtDbW1A3PJSpR0GMJh1P37SSVq0XoH8ZoduPwGocSZ2FIa5DYLD1/BOpp7a8RnGpm9XLajvzUEJn5acRDExImDMAYKKm5cHhOxcD7Knn0oXX7irVF62vqwl9lIh3R6Hwujp9I4/Hb6n3RhYJJo01n+1UYAgi9G0LwaziobqQGdyktKsftHSXTX3Y0rGLRMJyyZWqzSmVpJ+YL1FLBVcDgcRU0IwuRWuKZzL9ZwDu1T0NPH3Oz7uhSC/VDTIEiVKvTEoKNdodZpR9kLjkgtLw8kqU2p+Pem6Cz3ky6pIZbeTndvAwsT7SxSTfyVSXa21nDE0cJVy18huq+RjvIIvZoKpz9FV3oJh/fMx6OGmffEaTTXt+ErDRNa/ywDDXuJHbETXdGGiIEv0Me6kIPKiqVsfbYU3zmHiNv34v5dHbg0Ijf28fLjceZ1bmHvmQ6qWst50ubmqUCAS/0ay4FtyjaGlCH66EOILs4xzwe18sQKEUFcjh6EWFZw/UusjZX6fCvJCnNbP1nK4HK5XAUbXDO5wlWoEhU+X8YUEgIRiaDs2Yv9T39E+HwYZ5+N9vDfIBRGqX8RBKg79kLvAL7UERjsRounSIUq0OM27MTQSGLgzJ6djKGVfZG1YZ+bgOPo304ghkk2NHwXGgY20iTx46Ydl4jAhhAsmA+r1uBc14S6U8VVa0e1K2AziO/VSSg6kd0J7BUawjTZ9v4DlK7x0nBjBfZSG7H2FMmuFIkjKYY2pnBU2vGv9hyrw/5+HENDBde9xPpYSUlYyUUv60Y2VxXaTOJ2uwt2KZxMYCaYnOt69rqaNspk1yi4PGTSg3RndNvQIPz0Z3ZKVgtOu1bnsY02XHsSVKsKqZiNtkiIeMhGR58NJWkS0T0MaH7OeOBClNLnqFEPEOlZgVkC4nX/YIE9QetAgEdC81miHaaluwrFrKEVNzUOHbtNI6mpbA2EeakhiVNN42row7Q7cCk6Pc4S5oUMehbuIDrUR+kpK2n2NHKgsYJApQPh03jzkUbsu55mf1cJSV+IQwd/TYn9SmLrV3BnrI/Hdj3PuTUXUVIxQEIkaDd3cK5YwnN6FSpwhu1YXStmJ3Y1POsnBK3SN2Wxgryz/ZkPx0q6FKylTwvFUgZXMStcUxEF6mS5FIqWFkQyCfv3o3R1ocSimA4neL2oTzyJsnMnyuAAHO4ApwcRS6J0t2HHJKTXYShebKkYIVGPgQM7UQw8HNuXlR1kZV9mA0ijulTMhHb0cw1w4mEAN72kqcBOFwoGKgYJKnEaKeweG5x1CsnXXIOtp4vGC6qgqZKBDRGMmILNqaLHTAwhMPt1RAzQTRL9QZz1DhrfWsHA02GwQc+jQwjTREQF4d1xGq6rwEybmBWNxDx1GAkDPMfX1uzCCh2wlTpeK9RnFisZMNl6zdelUJI/k1nhmozBNVmXwnyprs8cu/uASrtQ6TMUyrwCW6Vg8x6N0INpUnadjnI7hlBJryqhNSaweVLUBuy44mEcg6XUJ4ewe22EnAqbFy9g2bwES9UQB9taqPIkKIvbOeg6nSo9SXfEz/x6nf12N+xehK1hkH6vSki4Wbcb1tr9hJoFTs0gaA+yrTxKTXc10aYYkZoYjuqz2K90UXb1EAtYQOmmCBc+p7EkHGVF1wEqiGOKbSwJ+Vj357/x3OVOdri28s7eS/naiu+QVEO4n7YRdOxF9y5hj0fhrc0mAggrCxlkJ34lQjXVBT8DiXWxki61mgEzl6PoWsrgKmaFa3gUqGJeupkImoFpQjCIkkhgvvENKH39qE8+AYaBSCQRdidKKoXwe1FtGiIURyGNqZsoSppa20Y69TNI4x5+Zo7t4dIY7k5opgyOBdDQAQ0DB2ncpPECJpXswk6cFC4SiQBKSSm20jJS+7tJh0J452VC7/oWuZj/oRq67h8kti9BasjAGDh6XQPMFPQ8PEjwpTDpkIEe1VEfVvEucxFvS2Mv1+h5KIgeMtC8Gsl4KUeCg5QvMzCiJnVXB3J3JAxBaFsM72IXNl9+s7TTgZU6M6tgNSPGKu9AdnBuFXmthMvlKtjggsl5YUx3tMGxyg4CvfUKp7/bwAwKtj9pw2caRBHUxXQ6qjTSaQeaw2RAF5SWxCkZslMZi7PHVkf6zL+xfGsPZWVPM9RbAk+fR3Vjgs7eGhTRTNPgTtpcAnvIzerTdxE7YtBj1tPfGSDc56fpvKdxKB5C8SrqulQaVjxDrZGiKu6gZ+VefN4GFpZ52clO0iJNr9LLfDEflripe+9SvL/fSWVbHWavn9SggyU79vHlj65B2R/hRWURcZdC2763suO8VjYrm1gf6WMgtYfD/gZeTCokjPnE7VuJ1/VxmX0Paww3+5Uu3qquQxmWguVl5WVqRA2VjOKSKDkBKw2krdKHWkmXgvXkLQRLGVwOh6OoFS4oflA0E2HhUVX0detQSkrQ7v8z6r690NuL0tcPtQ2ImhqUtnbQPJgl5ahpB27C2EWKuKMRf2I/nazDwM2x1S2DjKGlHv1bP/p/9WiAjazLYQqFKDoqCcoJ0IpGFJU4Cho6pTj0CMkBFdvLe7EdTmNfVAMLrwXAUWGj5V1VxFuTpIM6qSE9I4ITGAKCEAumiTnTxxbcbCaaT8dZYyN+KEW8K4WCguIAehwcOTRIryuCI6DhX+vBOz+zibn/yRCJrhSKTRnhiigZHSspM6sZMVaSFfJb4ZIURjFRdGFyXhiT8cCYjLG2wkhRU2ayoVuwa7dGsE2hrc3JvAYFNaXgxqQlFiPkVhARg5THTcpMMM/opj9dyvbnX8e89L1cMHiAw/VV9K8/SENTiFR7kE29Nq5btQFbpYsDf24k3QuXmx385ZXLqF/URuMpj9A+qGLa0gSa9yHcPlqESampoHvjRD0p+hy9OMQAA+aL+KlggXp9xhDyaTiunUf13sPYevrosM/DGbAT9yisvz9E9yvLcdSnMJqOMM+h09E7HyrjRHFiO3+AfqWX1sQgIcfpxPv8JOz7qbFvIG3+Dw/by2jhes7nfAD2s58nlCdYxzoqhTS48sUKfamV9JOVZIXCgjpZDUtp3WL3cMHJ95GfdNjdRAJsNkinMXUDQmGorsasrUOsXolx8aUQj6E4NUR9DYmlS4n4FxI16hlQVx19sCaZnFomxwytNMeMreyqVzZqYeY4Gyl0ArgJoWPDoJQkAVKUIHDSxyqCQ/X0PC/Qtm/GcAZI9x8baCiqQsMNFTT8cwBXnQ3FdfSSw0kCcVAcoAhIhFMZCQwTPaSjeRXibWkYUIjtThM5EEMoCgNPhkh0ZmaRnTUObCU2Sla5keSHVTopKykJK83IFWJwWaX+ZwvFRNGFya9wneyymXIC1yGoeDGNr0QnVG3iaFAhbGfB2SrnnyYYOGRnwQGV1ycMFnYolEdSNPeqlCoJFg71oJbaWFwTR63Zy0uVHvbuWcvGA6spcaehNIlHREhVhehXdTYcXIC7Ik5NzQBLl3az6lA1db40Dbv99PpUtoVr0T3wvCijb28As8vLUOJldP0wVfgYZHDEPZj/vA7eejpH1jWgeFKEbA6atztZ1aOyfluES59+kcU7wpwR2QOBWuwhF91HlnL2zjhLOh9l2VCctZ2/YKHRTq8IEjZ2cYW+iw5lD4c4lKknFJpFM2vF2qKej2T2YiX9ZKUJQZBRCmcNxe7hgpmNAlVM2F26u8HjwXjjG1AOHkR55FGUZ55BMZKYgXLwJGHZQnj4EPQdwO3xoKvNOBwuHGIIkTbpZyEGZRzbm5XmmJGVjVIYA/yZ/9tSOI1BFBFHRSdGORqlgIZKFBM7cRpQMOiNrsTZXIFe1oN/EOhMYa85dh/+lR5EUtB1f5DowfSxGB3HITKeiBjdJqFIDKNHgB2iA6mjacQUSIPRD8FNYbzznXiXuHHVOShZ4aZkxavQ2EpHwO6baSmmHat0pqZpYrNZoyvNRUC1SN1aiWKCZsDkjKbJro4VO5kYDirYNVh9ikpViUCzKTySUtHOTdEYj3Jono+WSpWNA4K9Xg99iwyW7illi0enrFoQHmjE5UjQV58m3LoMT8pBmlKuP+/vtJsuOvcvpn7QxjXqEfY076O7qouFC4aYV36Qnu4mIkuSVLfOR1t7mOC2tRhnb+ZvXdUo3gBORzc2EpRE5rPfJWhXYyyglyUsOXYT8730Rlew9MVtDBga80Ix7Cmd3SJJv2oQtds5vWs3TQdtnBt8kZDai8seZ3V8N6c8vprNb/4WZmI3h/a52XBlLaatl/nJIUzxKIOO0ygX5SxgAQvEgqKezVRS7FikWGIRcHtHpOfMCyv1TVbzFrHKhCDIKIWzhmJmEKciCtTJ2pQMx+Q16usRqRTU1SFq61AGB1E2bkQ9cAD+dD9mSwui/TCKooMpUMNh3OUD+F1hgskW4pRiYuNYLq4Ux4JlKEAC0FGwIUgCGja7gstmkkioGPiJUUcFe/GxFwcJgtQAOjYSeEQbqXQFqfKFuLo2IsR5RPZ5sPs1nNV2ADyLXDS8pRJbqUaqT2fohdixXMxZjv4t0mDExYjPjj9G7xUZ09E7+xrjtHXAZiwTGkw7amAl+kCxQ3IACGcqTnWBvaFwDTeLsdIMopVkzSozq8hrJYoJmgGTW+Gaqf1fXr+O0ybwNmn4gMHDBi95FA50qTwtnLjuM4nbDFKajcESSKKy71IXfbsceC58jo6nNJrnuXilfSlXJGOUdKbYuibIZp9KQ9jgjG5Bqr+G3usex+PsZJVw4Ko0SPd6qGney9LBBRjlOuHOEpa94SlahZe+YAnl9n5qa8LYIwJbcoDzAgvYaYSxKQPsV/fjwkUDDQDMWyJofc1i5plxHEdsaM/upsHcSKfQOSXyMqXOFKsfCNGzyMWmNS6q9+uUO3oIlJSz/jGFgWaT5lAF8wixLjWAE4Un1CpKGKSEkqKeidVIkSJGjDLKAIjHIBGHRCyTMjSSAEcLVCrgnGNdjlX6UCvpJ7DeilwhWM7gsopLYbFJe3O+9QClR/NoRSKQTkNLM2JgABEIoLYfhr4BxLzmzDascBrhEMS88zH6Eyg2NzY9ThoPx3JsmUCEzIqWm4zxFDoaXCOFGg9jkCRNGZqiYkOhXGynhHai1JCgnjB1lLEXAw9liV1U1VQj/DVo1T7MQRPhOWYM2f0angYHC/+1joHnI0QPJtAPj/Echsf0GAP/qW4CF5QgktaZXZoU6SOQOACOZjCCoHrBUQ7JPlCTENsCZhLstaD6wFY27ums1PFaTVarzMjN5dnDmaYY/QSTW6Uq1mjKlp1MyhPfUfVUEjVI7VaY3yboWmKjy2WjLJrG3pdgcVTgPWTQemoSETSZv6CV/r96cJ97hBfjp/L+mr8wP6RQ+7p9PFftZqPp5+0da0gs3UYssIU9NXYaD1WT2l5C2FXGqkQp7qjO/vrDOGjGmU6TrOqmTLhxbTiX5J4UlYsOsnP9DqIiyDy1nEbK0JQa0koamzg25LE7YGl1Gt60mL4jCv2tKRrDQ1SmNLbUL+XC9kOIvlK8PdC0aD/6lho23JKivKSLhQv24NvpYWB+L4v3KHQvtbHPVo3Pdtq4iZLnEj30sJvdNNFEkiQqKlWeKuIRSKVgR0gQtCm07AdRC41zyAa1kn6ykgEz16PoWkrzut3uohXaTPi5Q/FRoIaXU9oOom7fjqitRV+yFDFvHmZDI9jtKENBqG/AKHVhuDwokSBCqJRqBwEPClEyRhZkjK5s9AoFOGrYoQIOUlQRoRyVFKZiQ6huDFwIbARZQoIyNJIMsJwI5aT6I0T3waBtNdHNR1DtKo6jq1sAZtpEOxo9MLIzhjrcrfDYYailwJht5+hgwgmOMhvuJgfuec6xDj4BM2UytCVGsuf4ZbOpY8oavkiD3gtCQLoTwi+j6P2Z1S0jmlntGtwCqW4YuA/CWyG6B4KbIbgVUh2Zn3TP2JeIKAy+ECF2KMngCxGMZPE56qYTK7lsWEmh5Surlep/tpDVTwUnvJ+hFa6pisCrt6XojOkEFgvmeQSNSwzqGg3iUTtlbSkWV+uUxXTKhkLEn2omVNmO6Kzmyr5BbFvW0p2q4JXFQ6wpj/N2ow+1P0p6xRHiLo2uw/UEj1xI97L5OBSTIy1hDjaFibsSRJe9TFV1PzGbSbvixl/ZR4tdxcBLV7KRgUCQI6KDuFrGfvazXFdoGR68QgiEQ4GAHf3ZMEuVElyU48TDgmiYHqeb/fgJneWkfL+HFfWbufG3Q3St6CPeZqfzlH5iip3th228aHOiaEuoMMtpFI0F1adibAWzveDncLIRCLroAo4aW6HDhBMpDAwiRIkTZ+fhGINJg4daYaN7gK6uITY8GqF1bx+RUBehYAccGV0/CSEwUHheaLQZ8IKhMDhLuyErGVxWmxCEuRvUyVIrXMVEKYSZ83OH4gYux89aKjYb5tq1KMkUWvshjOpqlFI/pp5AjcVBgOjvRYsnsOFAaBrCaaIkUwhcKKgIVDIbqTQ0dAySQAqTNAo6AgcZ48aOjhu7GUEjDBiYKPjoYIiFuAlh4CJMHXFtAZqzAeeebliwEI8NUj1pzKRAj5lEdsdJdqcoWepGmGJ4JPoRboNmlJHejiOq7OgXKYh3JgluiMJpkOxKjxuZUAjB4IYomlvBTAqM6Ow0LEaQ7gYjAgMPg56GVC9CqQZx+Gi9bIPQDhBDkNwPwg52G6TcEBuA2GOg6uBcC75TwF4BtnIAjIRJ12+CpB5w0LM+SMkKD7H9CQY3hild6yN+KIlvoYuy02fH3jCrKTSryDqXNyTPNMWucM1E4IvJlD1ePw2aDuZfpmDuFDRvS1MjTAYSNvyJBJ4qk1iNnZ6DScyEg7DupuzgQqpXJqkT+xFqFU+WVmE+dxUlZYd40z4fidqddCbjHI5UoboSuBZvp6VbpUfxEw/sJxqIE+gtoToSZVCBpogLX1M3h5vgrPYjtDUNUB9WUMr9BKggHdtBja8aoQCiiw7FyaAyyMqH67D1GIgaB05hYDdj2AnRoZhEPAFcsSG8tjYiPj++8hjRngCJs0Ls/eM66so2Y2+JccRQwe1kl1KCz+zHLl6g3KxFoRuhrR+/HvVNoLhBhFBwMkttixxHOIILF7+O/BE94aU/quPwVtAQbaE8YqO9H7b07mdooJLevlKShoqSdlCrB9m9bxeHjRcxUzZWVi1Ho5nqo/8g45q48VmNrS+0ELCn0M9XSZi7eVYs4Bybk4PaJiqp4xK1foZrIYOV+nwrySoNrlmElaJATWaF63gjL1K3HkNdSmnnU5gI0HW0nh7M0lKMigq0FzeiJlIknS6cqSjpytUog/146STFYjI7nwyyebYEDhRSqKRQsZFGJbPklDp6nI6fvbg5QoRGFBQMbHjoQeAgTgk6foxUCE+ki7I3rISzm1BsKqn+NAoK9hINRVPQwyaKXaH6ilKCL0UAM3OJ4WQjGLo45v2oM9LwcoJIQvRAgsiuOJWX+CcMBa/awO634Vmb/4rYjKKUw9AfYWgfJIfAsyQTVSS8BTQ7aEFQYqDWQGpTZs+W4gURB6Uf4v2ABxyNkNhMpP019D/VQ6IrTc+DQVKRNByy076zD82lYsRM9JiBmRT4V7mZ977anME1+EIEe7kN3+KZc4+xipKwmkKbq8psppkJ/TQTk4nH60R9pQ17VOGC9gTti22IIZPe/YKqWoV5ToP797nwHFBJBUxqB9OsVSvZ/LhK/JQ6RM0eom1r6Q+kuXRHE/2qzpFAF66DLSx+uZHkufsw3SGivetxVw2QbNKJDmgcqXOjhpax3N5FQ6+NHt8A4UXdbPWWoiopFmgJNqsetFQH10XezSLXanDUo5j7KMFOSs3ksORQHBa6UK8qZ2jzATzVbRxKVpD2NLGs8nncXSmUl5wo5WtJBzoJH1KInhqic28pi31dqGfu4gUCnJV2MuDQUUSIDeYPWKpcSAPjG1zZNC3Cdn7Bz6AYJttPVel1/FL7OQcTBj2DfTTWVVGdKmf3PhueZIhgVwqjqpyqEp0D0Qhd7m4WlSZQ47vwbj/CgU6V7rVRusM6dbEDnBFuoPP+GEmf4Neuhzn7pSDXPeHgT2qC7Qc2s9rcTF+tm8cPqvRc1MCSlVdxydGua6uyFQWFNWLNFNVOYVitz7eSrDB3XQotZXAV61I42ShQM7H/SwiBsv8AmAZGqol0VwwlHkPZsxeWLMFQVFRTh2gUentAMTH8PoyESjJoEqYFm2ZiUxX0tA2FNBBFIDDxAgIT7ejn2dUtAAcaYXT8gEGYxaQow0UIGzEMdEwcJCljIFlOyfZN2Lp82J7cge/UACg1OCptOKvtOOps2AM23I0Okt06rvlO4q36iQaXncxn2QBfo1W3AMWjIAyBf52X8rPGdwhXFIWy02bHak1e9D8Bg4+AMQCJdkBAcjPoFWC6gEjGlZAElF0MzgZI7s24Ghr9pOP1BF9ZnoneWB5nYIObrkf3kwqWEt0XJ3IwgXnUs1SP6SQPg+LKxN8QCUBTKTv9mAGb6tdRtJnr0Kyk0KzksmElWa1GMWlLYGbycMHkV7iU9hTKkE5kpZdwGrwVfWh7onQxD3e9SmI/MF/Qus+Ow+alSk9S5kyjuDpY6NTY5vKzwrYE3+oQNa5DJM/tJt7fCCkvziUD9IT8dNn81G0J4Nzv4tBlcc5tF3THPFQeCXL/0krKDUGdkaC104875iAQ1bBrtYRLuqgMxUgPdKJUb6Ur7CBaEWURKqWUUUojXCIQPg1KbXQLJ4NXlrHo6YNU7zQRHQYefwBV24OWDFDStpt0nwtzscE7U7sI1oXxhUzwQ23IR/2Qj4Mrk7iBamUVeh5GlLBZJ1z8yz1tPK6/whZ3iIRI4g3OI2R20utTaOyuob0/RookMV+I810GZef46AzFiD3fRUf/IYYMF8YraykLHKBifYy6TaUkHz3ItgYnFfclcTY5sR/Yiq4rKBVBVm06jPDNZ55nN3UdYS7dOcjKlRfn5AkSRJ3BHTFWcrm2Up+f7Y+sovsLxVIG12RcCmdiBnHSSZNtGgiVksUuFFcK0VaLUloK4RCqEIhAOerLL6PU1hJbsoRkRzvufoFDgNutoXQ5KHH3EB3yIEwTBZ0UAbI5uAQmRi5Xl4fsvi6DEqKomKwiQCvl7GeIRjSS6PiIU4OCgYMwoXQDDaEtxKLzSMyrxrvOhXY0cIaiKIikiRE3cVRq6P0Go/pNpJl4N2EaMMHT7MJVb59RY2BSCBNSbaD5wVaR+SzZihJ+GhF98mjUSBM4AnoDmEOQLgM6wTwMhGBgP9mmK9Ie4t2VaCU+ep+/kKpLHLhNP51/c9L9YJx4v5lZNYSjvxWM3qOi6OBZ7ESzq3jnOYm3pfAtzoTZr3lt2UmqkNGxkkKz2gxivrOHVrmn2cJkgmac7EiD2etOag+XBsKpslgRlEQg4vAw1BCmMn0I40Ap4TUB9m7RqagWOK9RCDwfZ16ryv5aG1UHvKzssPPY26uY19ONmrZj+8dSjiwZZHVEozcwyGOnvkAwvJDF7X68pUdY6Q/Sa1OJmx4C8XJq0v28Uhulwn2E6o5qtvrjHBqqZFFdNxUigvdIFX0Bhb42P52BgxgVJVTaTqWU0mzlQUKA3cRVoxI5kCDZVUVFMIzNpaH1JtHLSvHUBRHJIGrcQUCAUhKnQYsQU3XiwRK2xcvY6zFZIpxEtTr2KS2sF7NngFtwO25LgEuFGgcAiWiUreYW9uxsxVlqI1ITotW3g4UdZ3KwvAS7kSIU0+gRMdjQy//UmFRvPIIvEabkkEE0NZ/KUw8QOOSlyr6W0xf1Y/9GCTv3vIjaGWX+3kFsvQE0p4NE9Uuc07ONWgxabcspPSfAfF+cpuYS3OZ2BCsBuFBcONXVVBBWmxC0iqxZXWoVeQvFUgaXy+Uq2mXjZBtNk7luVomKlpbcZ2LhQsTChaCqKFu2QG8vSvshTFPA4sWo8RieAwewl5VTbo+SGlpGmesgjkqFXt8KBtu9mDhwMoiB4+gKluOou6FJZonJRjYBsomBgY8+VuCkE400QVaRoASBiYduHIpJzcIBbIaPVEkDZr8LbWsPnrNqQFFQbQquBgdG1CDZq5PoSo0diXDMKj4WNMNImEQPJkgcCuFwxnBcODv8uaEQA0EBRYPkYeh+MPO3qiNie4E0Ij0ARi8oSXA6QS3PJCGjHTCP7reLkLFQvQztPZ3owCqMsI5W4iS8x8auu72EtwOKLWNkZdOuHb18dluc6oDyU31UX1GGp9GB6p49gwQrKQkrySpdCqcPl8tFOp3GNE00bYzEg6MwUx4Yk50QFI2O3Ge1TQKaSvF4TRJ7OumrHKD3KVACCRYt03DsNxjao7GltIyuvmr0WBj74cXU/TFK+vw0NpxoyXroUEkbYYYidrqr2pmvhPA3LWHj2lZc9SEad9UxGI/y5FlJaGshlTDYsawdmz+I70gARYmj9itUOBykSkyS+iJamwT9JVChdaOJ7ZzJmdiPRm1qaywlEYbKV8IY23T0qAO/y4bwQ9J0ELeV4G3qw9bnQ/cruNwHGEq7sTljpHWF7RVV7HP3U1Vlp13T8TFA0Pgr/rCHptKmop7LjGNT6NT62NQRoaTby9DqQ+wP91MTqkHscfHSeS+h6wKbtxRP95voCA4xRC8Ve2MccpQQHRzAFenntPhOSlnO8sYA4sgCll+7ieqUjw3facb7aBt9KxXSTVH8r4RRVAcHSxoQ527Cn05SVdZD2qFiLz8L9xsuws+ZZCaGZw9W6fOttMJlJVmLwXIGVyKRKHiAY7U8J+MZaqKhIRPF7vAR1KefQvhKUA8eRKuqIuGqwFtWgtIXoaqylVLbEMHAmTiiTtQjKqYBpUo7ITEPPRedwgYkUUgisJFxL0zjIoqBhoJGNxfgZx9RqjHxoOME3JS5D+B0JOnZ3AgLB/GcVoe7WoFECtxOQjti9D0SQk8bhLfFikwTpYAfnNUaIi0YeDyMt9kgfsDE3hjAM9+Jolqj4wMys6qOZoh0wOALYHpBREFshHRvZgXMVMHhAEJkrKU0EARA4CVjMblBqcSzYgG7bl6NEFFSg16SPR70MMdWtRwcc+F0AH6Bq8qB3a1SeYmfFV9uPok3nz9WMmKspCSstBpnNVyuzH7HRCKB1+vNu9xMGE3ZslMR1Gk4uhnA3uTD3/sKA94BEgnBoGFSHqpE1VIEqk3UZJLO1V7cradwpmMfTX0x/t64DGOFTlWkHMO9h0q3wTsPe9h9uA5f0CRoM2gZctO9sIfA040MHXJiH6hE9+6hJ5CksqeMdLSGUsIk6vvpdSSxdaxn4+paVml7aY67CZin0qQ0008/tdSi7IsjHk2xK+rjvK4QS1MOhsqaKBMdhIG4Po/I0j0Y5/ZR0+pE37Ycsz9F+n6N9FqNwYVBbKVR3pz0Eg40odBBWvyVoeQythvbWMhSaqnFiUX2EGdpcNJtwvbDPfgTy+kMQnvHXpJBF9TGmb9zNW21L1O1o5KQ/SBDzk60p5uwpQ0WtOyht8SAxiSeToXrFoV55vASajyHaXq2g/jhIMYrg9R7t1L9sps2pYqQv4PmXZ20nr2MrlUllHdX0HFBLXpjA+cH7kDJRVOePVhJP5mmid1un/jAWUC+E4JW8oAZjqUMrmI3JVsxCtSY5UpLEYaBUlWFUl6OunsPSqCcaKyavpZ1eNf4cDy1AduhfYgWN+FdQYgbeMxS4pSjCnDSTYLsfp2jrmm4yAzkk4CTGA2oDGBSToIQJjHSuBA4EGgk8TCUasTdF8FRoeD1RLG7TZSGanBlZj5Vp4rmVdF7DFS7ip4+7p6yqy3jVpGAEKQVA3eLE1eLA3tAJW24URwQ2h6ndO34wTMmhd6f+Z11/xuFgjtePQaJXrA1Qmgn2HaD3g7CAFcVoEBKPxoMI0jGMPZC1iDWyklHKgnunMfhR1pIdKnEOgKgq2BmXH1ypEH1g5kGe6VKel2ainIv1a8po/66se9pprGaQrOSrHNZoc0kTmdmYJ1MJk+awTVTEXjHKldaLujBQWxlJdpjpbR2RLBrbrxVvSxd18bKlfDixgqMrW565zlwH9qP+pKdpvMFe1cOMNTXS8huZ1WwEn/URW3aw9CSIKekTGxhFzVmBU8G7Nz4cBOhQBeDi8J0JNx0Cx/q0k66VYUqdwl2e4qgN4hDbyZi2ljpN3CYBhVaFW4ybtPCoeLxwwojyt42GzWre/E/Xc5QRSu+jl48JAjrlfTtCaB1CPqau6lcYuB276c9mCZm+DDMMPua0vyTMYDdqKHH6ebvXjsrk80cUY7QRx/rxUTBMybBkA5JAdVTN6BOJSEWTOFy1PKKEcHzfBsHqvditGg0hBaiKU7Oefpiti5SCEV3I/orqax1UjnUCsoQK+M6kWAzsdZS+oJ+LlB7eIp5/KNhHm/Z/zT++r0ktSSBWIQFyX6C81WUFgfOtX08Un4lFzb1EAgsxVt1/ZTd01RjJf1kJVnnehRdyxlcM7GHa6ZcCkdDVFej6DrmlVdgHO5Ae2U3wu7AsdCPwIHWXIvScwiRTiCGQjAYojR9CJc9wEBqAUPKfHQhcBLCdLhRUknS+BFoZKwfG5noFW5MKsgM9qsIE0AhiJcebKQx8GHoTqJHhqj5wELUaIL0s9twtpx+1GgAd4Mde7mGqQtcCSfOgI14jz7sZhh9T9dodWIH7yIXJcvc2NwqgYvKCG6IUfNPZQXXb0EYIUAZ1+DKi9QgpMPgqodEPxhOsFWD82lIdGbqwUiDoYOmZEK/K9nK8ZAJ4WgwuGMpid5mYocrOfSXU0j0laO6j4Z2VE0wVNAFWq2C0aujuGzYSmxUXujEscpB1/whGsurcDc5xhR1tmCVDnWuKjRJYWRXuAqdFLRi0IyxypUGIG0KHM5aHCtUhjZ4cPk1XrM8TrU9zOEVTRz6rUEkqOBRE/SEhyiPxegOLsDo76N9gZdLtrkIR10MunxoNV28vKSNVOUQF77QRK89ycojzdg8CWKuBOVhjYrdJexWNFIJEzVcTl8gSX1fkn5/nJg2gKfqdFQtDcYOetVKmpXMPiAaHJRWJokFBbblbv7w3Blcpf6Fmn0L8LiexiZClGw/hUjHWpLztrOwro3ypj7MWsETD5SSqhvAWRVnmWKjkwhOrQxNW89VtNDnKaWTTi4TlxX1bPJmyICUOWmDKxKCWAR8ZRCJpVFNF6W2JMs69vDHeX9EcRzBfmAFlc8uYFHawyv1UQa9MUKxaipNN+lGL21183F3mPg2qCyPd9LXu5TygSOEVw3wck2AnlMMDiw7xLKeQ2xedBWL+p7Efeoh2usuxH/kTM5sjuFsdVK/cik2e9WsW9UajpW8GqR+mj1YyuCaiShQk92UPBVh4U+grw9182aUaBTR1Aiqij3YSeyMtRAIgN8LThv2Kg8LHPuId+qkQ4dIiVKiRgNpkYlSSMp21LFQ5dhGn0wS5Mxv4+jvGKAi8GDgxEcPmj2MojkRmkC8vBvXqS3o8Tj09kJVxuAK70pQstyNoyqNETUxE0dPN5ah5eCYK9wIBIqqoocMytZ7UVSF6P40NVeVoTkn2ThFOvOjDlslM3VI7gF7bcb977iszKkBnVhrAleDE1dtRtFpRDOunmN2bAqgQvejEN0NehDUBEr6AEIJZvZbGQ7QE6C6wGEj40qoAT4gRKStjn2/upLEkQoUh0E67MSMODCjDlBMMLNGswlJA/+6CM5aKDttHs1vV0j5dHo2Q+VF/snV2UnASkrCasrXKrJaDYfjaJCBRGKCI0cyE26BMD0TggD9KIQ70/i6FEpanJQaOv19TpjvwlXrJFpmQhT0gJdU+J/o8MawHWqla6WXNdscuMIDRHr82DydVB2O0FFWieJzECiJUba/HHdZH8+eq7HPE+dSI43H4eaUV5ro92i8nDYQKDzcXEkq4iUU1Okzu/DUL2JQdOMXJrqiY8OGsiuGY42LRl+K4OMmrxvcSm2wGydV4CwnXb4PV2g/za4h3AsGGWjRiLfWkuxIoM9Pseygm7gW48BijRedGjZ7kveby6gzfOxHEFAvwc8k+1pTQNSEkuP2BO6MQqUDmhwnRv0VOorxIkKtBzWzD1yLA4YYMzhVtqt9gSF2lx4hmAwzv6OCpxp/Tdp1GNV0UNrbQKi5m+CADfRaBhvbsYXXYy+zESeOI+6ngjLakgo+3U3XqeD88yBaq8FlLb9lc9qPviOJsydFQ+pZfn3RtVxS/gxr6mvobb4Kj7BT9so/ELbzEdrsHppayQPASkaMlWQthtn9Vh9HdoVrru/hmkgBK4qCGQjAueeiNDWh7tpFYr9BdcdfMBZXY1OUTEJcxUS7YDUl+/Yx+JSOUFwoMQUFExWBgYpCAoEAHGBXjiYktpPpmVUghY0QOgFAIU05g5TgFhFM4cLnjRNOlVKyohbHyqUwzCD2r3ETb0vhCNiItiZIDujjuw+WAIOMcoxAHxBE9ycpP9dHZGcCM2KguaagYaY7M658zvnHPtOPQOogqCVgC5xQRKQFwgChCzDjaOkDqEoC9E6wHw3kYRoQbQeHH+wlkI5C1xMw+NfMSpTmAXoRqRhobnB5wDkI6TikDHB6gSR63EPfS2sxkik6H72M/o1LMCJuXDVB7N406UEBhpaxszwmmj2NEVOxeVI0Xh/HXu7A5h/CEQiTTiVx2COTr7OTgJUMrrnoUjiXI0VNF4qiFOX2rqoqhnH8qDn/sjOd+Hg0HAGN2uUma1eaLEvtpX1DP09sr6fuxx0EtAo6HS58R3QaVrsI9Ar+dsSPI9pP7/xDPNVRw9K+Orpbhlg2BMvbPRxalCRuL6PCY+fJln0cKgswf3sdov4gPZ4Sls4/TMim4inXaK0LEU+t4sDyQS6KHuA0xQXKBcy3v4mgMoQt60a/0oOyO4621sX8n3dgdLWiuFJ0xfvx1xt09a8hsCBCwBOjv7uGTbXLWVD6CK5ggiUpByKosaN8AX19Ljqq9xBTovRry6gzEtSYA3jU0qKeywgOpzITeW4VbEfbY3cKelKQOupKeMIozsxMIqJD2kTtSuMcUKAzBc3uY4e1JcCtYVTYienwstbN5m2H2N14mDKzjOpXFAwfuGJVVLfXE9MPs29hEN2+jIodp1H5SpKIpuHCzbzwACsf01no28PmhSZB087ymInh34Ot7jD1vSEOqgn6HauxNe2j9JQuqhtK6Zp3IWvVWlSznx1mHT3OadweMIVYST9ZSdZ8dalV9ZOlDC63241pmui6nptNzIeZiDQ4metOpNDM1ath+XIMTcPx0Y8ikkl8qSOkh/zY0u2IeU0oTifiyBGUwx0InxfPCoEn7sFxwMQMx7HbdBJ2Ez1ux0cbCerR05ncW5msw9kNVjYM/GhEMChBx4uJiWqCz9ULthJs4XaGDjaRjOgETi/NvVSqXcVRbafzz2FSvWkUMcrCVjZ2B0CYUYytoytDCnia7CTb02huFdUG4Z1xSla4jy9QGFoZiOMGSIozEzNd7wfncZGm9F6cAQNnVXkmzF+6K+PKKRKgDXM7VBRQNVBUSPZDvAsincAAqGmI9qBoIYQSyhhn2aTTSnZlMQFU0fviIl759ltJht2YaTsi6gShkThSia08lHEhJAl2FU91nPrX7WNws4eSFSaBM8G/ykRxNoMwUZO92LXo5OrrJGGlGUQrrRpZyTi0GlmDq9AVLlVVSafTRV9zNu3hAliqCvRyFdt7VCqfeYahAwmiqTpqUkdIRWApXqpPV3nhiIfnkk4WN6rMT5fR1HUJzsSjhBOHEX4dvSJKpDZCWSQCu0pIuQ0GFYWEzY1vg48hj0awNkxJKM5LjnL8bfV0L+omYE+gGG3Y9ACNTif0Qogk8cATtIhTjq3yKArGEg8v/0OnLKmhpho54CujPBWjIhrFvrKXV6JLWR5JYdM7WfpsN+6rbbgDGvbNlWy9toNISwTV52FZWqOCGmrsQ8S0lbzMMziUrawT64p6NjkqbRA0jhlbABV26NPBNUokzIE0pECUnAteLfO3CqpQEGXHHW9TQIXBXugD+hMmoeghIuI5nDvnsyE+QELoBA458O6sYWDePlr2eHGk6uhoSuMdaiC938tbnldpHDIpW/QwpWUGHTEnMV1jbdVBHI0xtq5YyMpl22meV0n5Gi9abRLV04xTq4LYmVBWhc2EsGFgAFEBU2CqTjtW6UetZHBZSZcWg6UMruym5EQiUZDBNVNRoKbLZQMhUHp6EGVlmCtWQHMzyTeUEf3Zk9gHE5SXlcCePSjpNBw5AgsXYSSG8A1sosp5hIPh8zB1FV2z4SCEDR0nPehkN3preNReYmYAsCNwYqKTsYx0XARRTRW7Q6WidB/lnj6ivstRVQXFNrJhi7TA3eggdjB5gl2TOYBjHnsTjDk0j4Y9YMNZbSP8cgLPvCL3IekxiPeC0w+O8hO/t1VlfjBAH8zMFir2TJJhkQa9Fxw6OBrBXotpg7ioB3VYNCpFBe9RY613A8Q6oKwGhiohtRc4iFASoNkAHXQVRVXQEz7a/3YJQnejOssZ2llGrLsMUnYQ2rAKE+iDJWBPoXnS2CtSaB4nqbCNslVt1LxhkNKVERBuEKcCBjqLSemHi6uzk4zVlIRVZM1nhUsIYSmDdzZRzD7jubSHK0u/2k2JKEEpc1NXG0F58wIGH3mJErGTodMuxzsUwW6s5HDCjb4uzKr9Prr+sRb/WQm8JS/h7B/CUeom3L0AM96O3dtHYsEgnWYJFS8voKrEi7tEw9RKSHriBDaVoEf6sVd70NqWULWwnXTKhTPZjK39fKKuMvyEM67bwzBNiNttNPUnIO6nQmml2TBwhCvQ052YWpDOoWpKYoNUrmynpyGFY6ubtiu6GVomKBMaO0uGqFM9NFHBgOqlUgngUlpoFI0F1y2QWdE6kIASW2YFyz2KobTYA1EDetPH3PSdamYVK2JAvTNjcFXaERGDSKOZ+Xs4DRl9FeoMsbfbg39RCb1xBb2zjn3Jl7CZKeKEmDck8JfsJFGvU/vcPETPWvod5bicsFx34B6KEfH6WdZ7GH+kh4ql5aj+Htoc5XQuq0L199G2uJzSeV3EjCg9yXJ6jWWUJlQMVx+HSwOgaKxSTHYYOl4LdKVW6/OtJKs0uGYJWYOrGJcNK+U5mVABDw4iXC6UYBDj8stBCNL9/YjAszgcDkRnJ6qiIJxOsDsgFEIJh/AYYQZYQGlgkFCqHiIaKWwY2FDtKoqeQggVcJI2vSjEjoaKVxG4ARsqUXTsGDiwByMMLlqNtzJG5SoXNB/zVzcSJgPPhHHVOXBW2LFX2eHlMQYi4441jn6ZBhzQ+X8DlJ/ro/x0X0F1OgJFA1XN/M4JHM4YVaorYyx51kNiOyQPAE4gAooflDQ4GkAkc4aYojoxW1VSq3UcFcc1qWTwqJvgAKS2IcQOFD0CWiKzmme3gc0PqTh9G5fSt/kUFHeMnscvINZbh82dQLFn9iVgAIoBpg2EgquxB4cvTtXFh3HWVGEv6wP9IO6aTspPSwDlgBeST4GtHJUGjt+PNpuxkpKwkqxzWaHNNA6Ho2CDa6ai6E7XhKCJSYIEaSWNZ2UA28oqKlN2Xm6rpCoEqZqDlIa8VKWixBtSiFJ4pk+luSqOlqzErqxEXfoc5waPsOuUPsQfF5GuHiRU04HviAvbwi7crfUENA0UwdbBJTQt6aBlZyndQ04qD61AVzQqVvail0RwnWpQ42miVh2Zt1F5NIi9zMYZq53sqPayGBtNsShDTju2RDelu0z0eSEql7dh2+1BbCulYkUIpTVEeSLOwRYnbi3NJRVpNmgxfuWMsE57nNNEhPPEeahjbZiauILBpo6MNhs3Mv2/7+iHa72wLQIHE+BUIGaA15bZ89XigIiZ+cyjgUOl09vJYeUwzYxMA5JOQTf99FULuoZewP5KH061j9SOOnoX76Shq4lIcytVrWmueqmMqudPo9dM4tYE6/dvYueCcvbOK2H5wHa6SgyM0jIuSQ2Q6uzlf96UoCFspzRuY2F1NX+N+ugJmyR1Bxd1eqiv7WRvYwtP6b0sVlQaGaCKPkv0pVYyuKy0ajTXo+hayuAanuekEGYqaMZ07eEiEIBgEFFfDwMDqLt2YevrI7K2mar9adJL16BW+xCtrahpHXHkCK5VVbgHBkj1tuKtcRPbWk1a0VGEiYIDAxVVERgiE9nCQBwNFX/MvVAljN2mkNQrgBimoiDiBvaF9ZimhjKsE1IdCrYSDc2nojqVTHAJ59HTjXvzHGeAHevUwtvjuBsdlJzixoibaMUm6tWcmdUnkYbkQdD8YEQyhpbj6Kyk6iAVbsFR0p35W6hAApwrwAwfzRUdBFsVwhCYIYjsSRA4e6QhKGJbIHYAJdmOiPwdRT0Mig5KJuWWorkgkQTKMJUK4t2VhPcvJNxThhj0kXa6M9fW0hmj03SAQ0d1pahcexAzpeLwpph/469B+Akf8qI6XWDTAd9RI00HPYIiekEMC1ctBIgjRw3JkuLqcpqQCm16kAbX9KEoSlGBnWYqLPxk8kTq+tgduYpKuSjHh48IEVw7DtEtkvQ2NLMkkMZRXYKPNTQ7VexGAP2lCI2vMdB26azsL0fX67FHnqe3KokzBe7VYfr2rKLGGaX0oODwRRFS5UmSzjBmv5Ot1XHsnZUcOiWOrg+RLNmIFin5/+z9Z4wlWZbnif2u6aeVP9c6PLROrSqrKkv1VFVvq5me6RmMIIcgPww5BAF+WgILkFgCJD9xAS4Gw13scBfsUV3sne7p6q6qLpmVmVUpIjO09AgP1/JpafLyg3lkRIbIcPeQFpn/hCM9/Nl9du81s3vsf865/4MrPS77HgOJJFVVpYiPeiuLKejIpAKuxCuYtCyPWAOWRJV+r06s4zGRXUN/tYHnuHgCvG4GQQ2t4DAgq+xeNlkaAC2lcpYaMXmJAQbo0CFB4p5zdF+MbWZLXO9AXAuVCAN5k3ABTLZhJXGzuH3Xh/2JkKh13DAVMR4ev2FtMCfm7iBcF6c7zGka88UrzF6+QrX7NrHFYdaPn+bQ2REmzCrXUShow0xVUtTSGQaEjbp8mherVzh8XeFXL/dR3VcnbTuceHUUsns5fPIMrxtXWci36JZe4ZfrKgOyTaIKS2O9pFptRqc3WB3K4ggHkzI5UUGIz+5lXGEFE5Mcd8lEeYKI0gt/lGzps26fIkW4VFVF07RtR7ge1Av4tHkQAchmw//n85BOE+TzqH9zAn/3LuzePMarY2BZyPMXEK++gtzYwDt5EXW+ir0xgOXOo4oAS69Sdo4SuBZCtAAdgyo+CqEU+U1ZQQWJ7SUBj5jRxaEHxa6iNjeoX5mAcpt4po3RH0ckEuReSlL9qEXgBAx8L0f5tw3s6fswLpW7kzID1ISCqisYWZ3qR00yzyWQbqgMqGfuks++Haipz6SbNC60UBQPt5IjMWGHUSUlFkbAFCsU2/CbIGIIVaD0STLHww2/Ep+Aq4RsZx3kT1D9jxCUAfdTDikUhe6yQWduFKvPY+XtV6ldG8atZpH1bDj3ng+BgEAPI12+pOeFq8SHXcyUR2ZyGhIxsDVI1UntccMoGEWgDOr3wYhB0EQ6LprWvmXQfhipE11CxZKnB1EyElHrq6re/1mJynieNnyZUhjihjpfmjTCTDEiJYcWz5OybDo9EwTf6NJ3PsvV2TVetDW6foyFXzr8W/88+lidkVRAcnYXx5ttcoUV9IFpFpsmcQKKMxlm+poMbphoesCQcKlrKa7HTeSKRz6zRmx/gzV9AIIUDakRBJ/Q1fpJyiRFimTIII8mEGdaSF9y+FsqjV9pdE/G6WeBBgVyQsFS51HOZhB7S7QLMa6XDD55zmD1TYUXzATLpwyygzZWn0pcuAwFXZ5XnuequEpCJtjVHIduAD07lG2/cVuk1c/ub/bXEZ156FGQ9f2hzcyoNwlZ2g+jXCUXUjDcHGafv+/TN77r/gxay6DVUZg5X+Ns4Wc0vYvsOnMQYSwxl2hx6cVrpE+O8sqff5uNcYPLRR1P0ehzl3guNY1xYQ3Zsnl+ySc1fJ3S7y6xWDQ40ffHiAmL73urGGWVtZEFKoWXGLh+hXp6GFP0sVjIMatusKs3wZRqEqNN3QFda38mB6NNe1PU6+lClNb8qGVgRKWvO0GkCBfs3KA9iArUwzaGgRNQfb+N2a+T2H1nFfrtnjM4fJig1cIbj5OsXkXRfXx/F/aHi8RbqwhVQZmdRVRWMa0+BntOEyz5+LEaFfvY5jruIaUOCBzihKv7p7uLURQfP1ABFTQQmQSeo9DSe2i1NYKmiW75uNUKhtaGzcKfgSepn+vQme1ir92HbN3gdneDDn7TRwYSxRCgCKofNgFBbNzYGeESOpjjd/7dr0HzLKWPTQb+/gEw4xB0wFkAew7M0VDB0F3cJGlJlH75qWqikAI6l0FegsZJRPs9sNfCHXDNJF4nRnxwHSkCMAJqyyNc+cGrlE4eJujEUBONMJJFEJIt3ccsNDHzLlqswe5/9gtU00UqSbJHlkG0QT0EWhI6H0IyT0iWA1BKoLwFwkXIkyRjiyCbIJJh39XJ7c/bY0CUPIhRMhJBEKDrW3v5i8qYniYYhvFYU94fVDTjXpGqd32FrICDyp392u455e6xMAp86iyOsHE0l7jXg/bL8xjZPlaCEvrHCucWLUTWJLfeSxD0YtZ70bsf0qkZiIlVjL4KViZOMNxm7Owgg3GP5Y0MB4dmkGoFpZVFmRtg7mCNTEvlOxdHSOomcjxLeUjgyxIVKigoZDZlGWRCQfx1mY9bGeKr6+xihS4tukofneQEHL2O6a3R+MWbNIwy6ugafX0OKzGfhCNY/1aJlVYKozrF/4UVOpqOb/h4wuOyuEy7UeVw5+DOCdfEXUShah7MlBHJ0wSpF2HUgoEAZm242oFdsXD/13wnJHspjZydI0v206/ILLWYO+NyIjZLa9GicU2Qr+7m5Q+KnPzONJXcOtKJcaE/zotLKlPzaZLDsyzHm8SrkqT3Pmdfc3Cr+zl0fh5ZdhnF4XfkKQ6t6HTX0lxR99OK9+AvBZglhdruf0h740dIJ0dy2KdVibFv5gPMg68jxATr6gVK5mqYdUG4/3mSp9M+QXTWxyhlYGy1r1+qFD4GPCkVqIduDBWB0EVIHB7SOYUQrB8+jJcfpjvTRLnURIxP4Xd1lJeOI1oNhKqSWF+na2VJY1MLDDozBUBBpYuvmJu1nG78bNbhSkoCxwJHBVzwAroVDz2TJJHsYi8EqHIO+fIuzD05KNyUdl39qwrVT1p4dR+h3INPqYTphu27fbg5Pg2CrqQ53aX0ToPRf9ZD7ZM2elbF3KkxuwuC1hKld31wDVIHdNREmMaKEgM1yacjUJOg9n76T13UkcEqgbIG/rWQrzrvIuwlhNIMS3Qp0JwdxXc06jNjOI0Mcz/8HRpXdqHF2wSuAr7A7yTCdD9ASXpYhSb5o1ew+lbJHGqQnppFK2xAEANtGEwTvFXwZsBsgWeCNgD0bH5PAkSHgCJSlkHWQ8L1FCNKHsQo9TVK5DCKsCzrsdbhukHWdnIPft55TcIqIfdqt12SJ4RAL6Y4kJnAWF7Ca32A2jdKsrpI9rUBzLxPcrBE4EsOnb9Oc67Ix9kB7O5vGWuq1NUeOrkVlvqbND2D/XoD71qG68cXyK0M4XQkPe0mjefOkTUVxs8UcHvOMnrtdRacWZqiTmJkkF0895naWMq/3cD+uEWlrnLV72GcBhqCpKGxehj6qzGa17O0+y6SmqojzEVaX63x9Y04Bb9Jpz/OjJ9hWLHp8WIsKdMsBz/kLeX/yAlxgng+De2H+JrV9hHNn4HpIu09MNEX/l1XIK2FBAvAUKBPh46PEAKtBZ01nzIN6sY0cVflk9YZxk60iS9Imm2DQnuVICdAV8hP/x696ybHN6D8bRtxtYt7+B2GPx7nnakX6V/V6WZ1ll72MV+vcfSlJTo5m3TpOfrIUVtQOePEST2fYE+jhQiquJUfkk4FjKvv4D33dQ4laygiS1c0QRTRg35iXEA8hRGt2xGlNT9Kff0ypfApw04iXE+iePGN896traIJcq/cO797S/2tViEWC1+2N9t4sRjt3F78xgZKu0vsrSHKl5/D7+Tp++O+8KGbn0chQ6yZYu3aNPGOgIZOYJr46zceSh+EA2ghoWipoPmElYk9ICDwNKTdJi4XqE8PkZ6MER+PoY1+1iOXezWFV/fpbrg4dYdu9S6RRp/7ajkoClhDBrIpEarEXvHIvXR/0mCvu3QXXeLjBnr2/re7iPWip69jjRzCGrrNu6gPfPbf5mY+fLuCkG3w5sEogfYeaLOIynVod0AkEEYb2VUIPJ2Nk0eZ++vfwa1kw2LHePi2Do4Flo2WrOPVs5jpNr1fuUrg59BTPumJRfpfPgXxHJgZCJKQTG2mHTYgSICSASsALFCnQM0BHUAiSdO2h+G2zeNPI6JkJKLkQXzWDdqTxk4zMB7ExsDOnpfPy6R4Qb13f7aUgdHqhBKAqZt2zkRiWibW1CDGzDUyh1T2t2uISzMEf/gHdA4kcdddJqfAWzdY0iTFd4+Tr62T3tWmFhRZClYILElyeZyKojFbVpFGnEo5y9rYdY6XJS/WsvwyayNTHupzV0mVKhxceQVjZOyOPUzBNzKIls/uaw7VcQ17LUsCwUz3ZZqVOVLrBoq1TqmYwti1RPaTBH0fdjn5J2XchodlD9HuUbkY0/l9LHK+ws+UgCviCs/L50PmemcSy03ILiI4hxQDW1uXYwpUisixDMR3ffaz3tscjwObKr6ui9YSdBYC2oZPUJ/hg+kaH/aUeZFFpBykvn+aslXDnfXZu9LDq1cP0bU1js38lhNvpGjnyqjYBMc+IXtdY/1gES3uk92T4bXkZXxdYz4YZn1hkLyMoSXqjJQTpN7pxc5oYK3g7Y5z/Mw8QbPA4liV5UO7iTFHggQJqTAnBFVnBCmGnnpppyjZpyg52Z51Fd1IEq7HrVL4tNU5AVBmZ0HTCA4e/LQNQHyPQb2ZRx830fp12NhAXFsguGIjvvENSCbR19Yw3pvHa7Xo/V8WUf0MlQ9dKme72E0D2fFQTIWgceNkElyNMGyjbd41XdyuxsL8BIk9GYrHhklM3UZQ6nWyuz1ig0VWflShduJziu6G28dC8vWZSxUuFL4LekEleyxJ9lgSGUj8doAa//yHs7vo0rraxezX2UocTCga2VemtnDkZxEQR2o9YX/dBrhnkaKL8B1wGzQXR1n/6Djx3mVKJ47jlrPg6mB20eIdvEoOUFG0FiPf/A3CACvbITNRot06jCRN3zdXNwscq9DohmIXSQ2SBjh26NVkH5ABtR/0F0F2Nmt7aQT04XzOZvenDVEwEjcW/yj0FaJFDqOIndqnB7ExsLMU3Ee5h0uZWYAgIDiy9zPtvNEBmFlCThxH1XVkW0fqVZg9xZE9I7D3eQiWqbznkahU6FS+A/tdzIUNjGWNYvw82bZL2ShS7z3H7kyb/vUuhYpFNdnLj3uaxPaskZqZwltdozTikLIc9mYGsTj+2U7KLo29Xeb/3gTahzW0//EyNjEsGkzxDs25ApnnF1FrFrWRJRpmEcPWKF5ssO8nBj/4KownKsRKPVxX0szHe7DScfaKrxDrmOB4YdTp8yDLCP88Us1udfKRQ89t7dhb4CUluWJA1klS/TDF367M0xAOF4LncaemSTUseldzFKoa3z+fZm74DMpqjCsDfQyuX6Gxy6IzWWQmvkCnppLv3aCYc/E/OErze0mc/AEuzh1ENQNS1csEaZ+Ng5OwmKdfnEXpKDjLKS6/9Xc5cmmOo401hHYc6dtk0AEFSwxj2FVEBNanL9f8R4Nn3SEYKcL1ICmFT0J291EVPgaQhUIY4bqlzQ1kJ7qoK8uohX30TJSQag318gru+H7aixWMgkr8YBq1JInvzdE/kmLo6w3qVzSu/ZlH7QIIoWEHIFQd1XDwNuBTCUFPQExBuhp226Un75GeCPvbuNxBOpL0oThibg7ngk8zGGbjF3V8PwhJ1b2yO+/6981xeeCVAxK7LGJjBm7Nx153iY99nvsQCCRmnx6qJD4iCCFwZQqptKF1HuEr0FDprufxZhUMI2Dhx1+nPr2L1tIw3VIefB0UH4TEq2cAgZKqkZm8hluLY+RMzJ4quedtjKV54oeHUNRBUFuEEvX94LnQXgGZgVgZWCQMSWZASYOI86m2sEjiSx0p1x/ZPDxMRMWg3XhOo9BXePYN2pPG47ZPN65lEARbEkO5ve2jEnWSxXwY4bqtXRAEyPEhuLYIR0ZgwkCcqIOzFEbsz1xA5gfpvpqnesomO5jDTw/jHARv5ihH63/KRmmG1bRCtdaHMtdP4Gs0WzbFaps1z2dxdQLqIxx4/yDLz62R+6pkbSQRxraCGURQQ2rHEME1NpZUlGqB+g8b5MpFGoldaK0WJj7erhniXR93VGPPX8fZGPBYeM6m4GkYbYuvXQb3eJV3CgGTzTQfWE2S1j+nKFWGV/vAvz/hEnIDqRwCpbDt67AdeHGQgcfi3Bq1fovy/CTPf2iSlvOsJh2uDKTw07v53d+sYq2ssbc+jZ1ycHdbLD2/zshagvmKRb23j9Y3ArL5Eqn5Aiu7C/za/of0X3cpboyzsfoJ6WUbY1eahZ4xpF2lVjCpKRrLHY1YqcPoRIdkMktMSizRG8r1Kjp5BrD86Uc6Dw8LUYqwRMWWwrNvnyJFuGBndU6eRJTqQdpuhajJ4c8WVbw1tUQpbaDZTaTrIg4cQJhmKCEfGMhWg0DrIPYMEVy+jHaggNrfjzpqU3zdwhibxyl5yEqZq/8BOlU9JDstwsw0HELhDBMciS9SdGqESniAntKQfjhm2dtLuuCz9u9sWtdsAn/ni5QwQAaS2kcNtLRKz5vpO4os3w2pI3H85s4EU7Cb4DsQz4d7odoliBfCOik3ICV4Niod6FZAzYCbR2o9tOcVlv7TCzTPj9GpZHHrWfyOhdC8UAwDA6QHSoBV3KD3jY8Y/3s/ZO7ffweFDmYhCdYiyaFpcPvAl6C1whSVWAnkbhDXwPZB0cBsA0XQD4IoAnVQegmVEeOAG5mFNypG4sbzHRUjsR2DFoX5f9qwkwjXgzr1YOcRrkeVgSH77iQQN84nSlWwdNiowGAfst+HdAqUOMJ3wa7Tp+wmH9sgawb07NKwu/Dm/l3UrvxDGso845kytf9rjq5YxkzO8MniMF11lv6Wxmi6yVxSp1vO4QarfCwVRroqI0mJIBVW+ACkMsjEgRr1syXca78laAuS6go1BrlMiaYnGMnlMS/nqU/W6FgBbrDEx78bMPmugjMlCaSK7KQpxmoI3eJX/ILdos1LuefAvf/cSuUwyDKI7LavA51NJcLipjOx4kFKDQsj3wJHgtaB6UwZd6CJfjnNN1ehermFlowzYu9G9xROvQknvmFj/kzSk9kg4XUoqFANSjT2DuJ/vJeXGh0qE2cotwSl3kkq9iL2Si8HB5OkMms4V9qU1mOkERTTATNDJQ75ZfzsCLWyRU/boKdwgKV+h7hoMkFhsx6mFinnVVTsEzx7KYXwpWjGY4NlWY9dBepRtu3MO9grHpnnQnnxnZ7zVsMb7NlDIATihhrZVJgipwHSMHB8g7hh4AwMIIUICcRmjbPM10N1IKc8wu6DbWqnm5Q/bOL7TexVGarnqYTiGnlABTeI0bxm01nwyL4QR9E3H5jeXgDU2ApWXqM544F7j4fkhkbHnSMDIDamU/h6CnvBY/VvqvR9N4tq3v/BVDSBrwhqn7QwB4ztRbqcZhhFMtOweh6sPLSvQWt98zMbzBR6dxWDLkLmkOUaneYbOMvLzP3pbmpnhuku9RNIGc6ZrxLfd57WzCR0LYx0k9TYPLv+/p+iZWwCBtj/v/gLFGsCekfByIBXg6AKqSlouhBcg/QkiFcBCd1pCHqAw4ALcgP0IyHpEpv1S4LlUAI+IoiKBzFKLwnw7HsQnzQedx2uG/fdo0oN3JCCBSkYEwE5sfV29zqflBI5Poi81T6N3LJ3ybIQ5QBFEQz6LroMX1HMTe2izO4pMkzRpIn+X8+TPZVi/WcJcvllFEUjbhrsPbTI0Z4SSuwgH6saiC71GPxMXuIlsYe06NnsUBZElmtal2wuhSFPM690ibUKqGoK0/FptgoorQINuxcRO02iPYD1zhzVfRus9gqs0hBfNatUMi+yak7RElVawa8g+Ydbi1oJAeQQ3gdIpReU8a1PaCMI63N5Eua6SFvidTVWK5JYxcPsOpw/niJbruG7AYVVi5WWTk6PYyg/x0kskqjn2ehz2TtbxzwHuYlpZn/PpVRMMnRBch6ToK9LZc7kilQ4pu0iccEgPdSlMTqEnVvD9gvMlfIcNW2MVBp1bw3bHCM2sZ9kfJbq+yr9vzXJ7wsoxcqcasUZLx0lVTThxrUI1kHWtj72pwBRWfOjlFIYpb7uBJEjXDtJ2XhQFahHIbt7A0FXEnQDAleibhKurbS7HXcYXu3ul/ZWRb/Pmxe/GaAnNSb++QCF1zq0r3fozDms/KSKs+rh1Dz8doAeU0gfi1F+p0X6iIWzbmANGjQvd7GGdLSEimIqiBjI7ucsULcSLoXb9nGBs+bRvGwTG9BJ7LHwaj5KUdC40MXIqFhDxj2/WrqSwJNIZ5v3gJRgpcFtQ7sKsx+AbkJtOYx2eQ5kxxHSwWipUNrP/H/rsPiTdXzvDRrXxzb3vrkgdITVQXoqbqmPRLGM2bNBavIqvc+dwIg3Se2poggF1IlwDiwzFL1IdUCq4J4DbQ2EFUas9CaoB8HqAmkgDmQgqINfAkUHJQCZAtlBoYSpl7Y3B08IUfEg3nh+otBXiJa3M4p4EqIZO7VvW7FtHcKcBvuWivQ7jYx9pt097JPsLUDMvPP429CkiUxoiNcmGd81ye9tnMNr2niVDylt5EG3acU8BpcGiTUOM7swTzr7EldTSxwXw6GEekqBvM6GGmNtaIoD05fRuqBYFZIiR6MxQSXeIuXWaSpN2pke+px5tKEufseiUA84Oyy43hjAKToE/lV2K/t4MegDUQUKcKUT7q393NR3Gc6w9LanzycIRTQEdBZ9Spc8ZveodEo+6oqH5ldwZBORdWg32vj9WZZ/cIL3lqrsuQa75qexzTr5nIUMYoz/to14ZZ55Ifhtt5eN4yqqajN28hiZZIUpp0KlqNKXzmFbcYRqcqgvRXxOZVaYvNdc4pC4hlVTkAVBz9IC1ReP0Zky0Xp1+jJV4gM1lt0CG+025uVBRAYKvX5YqiRoYeplkKG9fJoRFfsE0errs+4QjBzh2mlK4YNKuz9s2d0bSOw276jF5Us4td4iOdBmOBO/R8s7zwX3jwzERm4SEyEEXjmg1emS2GV99rhRg9hoeGz2SJzskbAfqb0xyh83UYD5H6wjuwK35CNtm/I7DrFhAy2j4nd9Wpd8zCGdtR9VaM/Yd+7RumnDQ4KVIBTPuMuUeRWJPe8w/PcLqKZC/UybnrfSqIags2SjmALjHvLwRkHDKGxTBt33wgiWqkNtEdwurFyA6Z+D78PE18ApgaKhtTukTnVZfD/P7P+cp7magEAJxxtobIYEkV0TNVMnves6fW+8R+9XPsKw6mimQxA3EcJABhmI70P4mymKCQWCDHAOlA5IJVQmVOqgzhG+DmVBe5UwnfAIuH8D/hWgByiFES9sJEkU4UDggVwEpbiZavj0ISpGImophc+6B/FJ43GnvD9I+63YpxEhGRGf/W5FUbhoJclIwZTY+nm3RNR68+HP5vGi2UZcvIbcMx5K1W6if/M/APpgsu9NABavTXJ95Cw90keWVljqGvQ7FXxHY67+Q3LZ/SCHESsOlAQypWL8tMbyRw6iOkRGXkfSwdYWGO3mSKca+GNZnJjCzL4WSWOdVMfm2n5J4YLkFafCuYMKutuiIodxjKNU9Tx/K6/xphzGjCmwaIMhbqoG3jExKlL7ypbn8VO0fLAUGhtd2mqXc40yv5hfouX77Cm+iJs7RaGrkNvoxbuU5MyfTdM8OYcdK3F9aIxxpcTwUptypYs7PMu7u3ahje6jVmpxIrB47UyBq/kFfmUVmdBaxKYCvD2DZL0Uzto43U6H0dNxUuMuu6of0l6vsyiHGdPWmUnVcVkn5wjW9vbSI00MfRf75QjT8xdZ06okvAZU0qTS89RKMcyEgRAB0AF/dXMfcvq+0/AkEBX7BNFa878kXE8Zdpqy8aAqUDvZlLxTT6AnoeMFtJyt7z3aSS6/oig46x523COx6/7HOxsu+VdSpPZZLP55hdSuGPZqQGfNJrgu0VIa2l9XiQ2bSFeSPBCj+n4L35FoaQ2v5sGtl+7WrnrcrLN8186CNWwgPYk5GkbOhBDExk1kIJE749P3hqpBfjz8ff0avP/fQbMK9XVQFbBrtE4vsnCqF5nK4dQ6bCz7eF0FVZH4gQRFBaMBdhwkqMkmPUdP0vPCx/R942Os3k6oIggIqSL8JFIpgCkR7SayUQ/3bMkYqCrE+sEUICZBdcGvgNgVTo72XFjEWHZAmQQxBGoCUENyRZyAOF13EOQ8BIs3I2VPKaJg0J7FlMKopHM+jYjFYlSr1W21eZAMDNi5Q/FBiFpdUWlJAdsgXLeebysvrEII1I0q9FtQa0LuPi/fNY+h/CgD5hgfXPgJxSGHjqZQWlmldy6BUrjGRzGbwcIuJpNp6De4cl4hVe4Sz1s4Gxn67GXILNM1EmgbayjlNDGlzHC5TPJVlURaUluAhm/z3JBHR5XMSYvrqkKjq/Bi2iMf5DGEgYEBwwI6AQSP4JkaD52k7cVZ/lNtmtV9C6x2FqnFiwz0BDSmZzA/2Me7X+vjayslugvLXDh8Ad8usDxV59WqpPvLHszFVZa/Vsd5a5Hp6kHM2DRO6es01CR75nXGzSLVTJWxwS7rBYu+dcg2zvB2ZpSmUiVvV0n0OGiNPpS4wdw3x6iIITb0XnYnVOJ0Wdde44AGGTvg5fZugqJLXyJNLAlLsxliKY1WS8N2i6EN8+eAIqhPL+GKCqKU1fAl4XrK8LhTNh5EdnenBi1haLxQjLG3mPr0b1JK6h93MPs0rOE7PWU3Uku2cz4hBMYuhWz/1l66naqPogYYAzpCA68r6a608a5DYINZVDF7NJZ/WCFzME572kaNKRReSxMb1Vn/cR179jYSaRBGgiRhsOYu6YQQ/t0t+zQvdOn/Xg4tFZJfRRMk98TwGj6lX9cRukL+lYdc1LdTgW4TsKFnAm+9jHf+PCsnD1Nb6qNRmsL3VCQanhPfTCNUwWqQ238V3zYIOgaZqWl6X30fa6SEXmiBk0HYHhIXqewFvQ+cOnQUED6YKmgueCugWxD/Y+AT0A6CGARxCpQekALQQaQAD9R9oOSAGFALyZgMkHJjcy57QcRA6Xu48/QQERUPYhRTCp9lg/akYRjGjmXhd3rPP0iK3073Yj1XL3FU+Wxb5ewVpGUip0bv2W679ske6UNOToKxhRSzUphCoUzGGK2McLZ+hoXaIjOtFzm2+yxuJsf6Spv3s7+mf+MNEp00hQTEj+skhn0qosPqpRjZwRJBkMdcAzyXIHGJWNxl/de7aR1PEMQNiv0tKkJjPeZwttTLhXyXYwnJanCSb/NthuTQzX7tjoEbwOxVRHYDmT4eqkA9JLQcg3UcbCxkn0ZDzjC/aPPm3/aQqAYU//3fkGyUaRuQan/ALqfJ+EyO5aPQ6TVZTo8hvlLliL1CQpX8rDbCxGpAaSRJwcnQ2/bZ5+8nrTWIrzoYneuUcwVGPIVzhSTrQYnDbRuZfZH1dB2rt5/fZZhfBAuYWpuYfxSpVMiLHASSffkcxFRkDqolGN+XIwig221vXvgsqGNPdb3IqNgniFZfn3X7FEnC9SRUoB7VpuR7tbvDMAXg1X3UxL1vxlvbbeUBu3GMYig4JQ+hC/T0vaN4ekbFrfs0zrQRIizPpWZUnKoPNnjNgM6STXfBQbMUim9l2Hi7TuBIBAr24l0idmmgShjhgnsSLi0DWk7B6NFwqz6KKVCMm3MROBK/K5HNe2nOPwDMNOz6CggNZj9g5YP9zH3wMopoUt+YwO1kUYwuUvhhba3Nx0oIhVRukX3/8P/N3Nvfw+rdIFVYIDEwj/ANWFORqgEFH0VfhO4GMnARzgAy3QfShKANloSUE4plaIdAGsBsmF4oU6D2gtgsMCpym8WObyC/+Xdls08iPPbG8U8pomIkopSuAc++CtSTxk4zMGBnWRQ32j/uCNfd2olKHVKJe+5DutUebtU+SSlDstVogeNCIXvvBnkdyi5Md4hf6kMvH0Vvf8KeNZvFfSmsSolEY5CLB+Y4kp9nvH8vhfcdhNumPeiyzBVGYgpyvQ8pNcqx43h/WMGcuILx72zMyXOsxiyKLRelonJmWEG0u2Tya+y2f4eXzAUscqiKSpMmSW5x/NkyVLx1u4TG7uERrpShcrjQS1kewE1PofzUYc/CArFynXx7Ca10nU5WomRXeOVqh/zoCnNuD/UPRvm3r3+Nl2b+DS/8pIh1cA07aTFQ6SHZ47A7+zaar5KJtQkaWS7+ZpLWoQX6lHUaySGqMZPJ1jo1v5ez7SSTnRViPa/Sokmdtzkg9+J4aTTVIc2mgEhchdHwHhdAblMzQ1FucWoLE9ShOwf6lCEq62NUbClsLxoXlTHdisgRLsuynkidk8cZ4foMUSuXUebnCSYnKXw9dd92203ZuHF8Z8lB0QR6OnbP481N+dnurE1qn0V3OQlnBZ1KE0rg2xJnzaWz2AUkqQMx2rM23QWb2tk2d7XEJe5MLbwLghYopkBNCFpXOjjrGpnnbpIGo6DR+63M5453xxh/GWkkqH3i0LlmUJp3QHWor+7G7cQBhcDRQdFQYmWCbgbV6pDuWySVW0CsmST7FzF7N0iNzyDqKtJog7sCLQ9EAKKNlCC8NthzoWKTm4XYGGRHwGgB+TByJedB9oRRKrphWuBT7A3cCaKSshElYwbPvgfxSWOnGRiw83v+UdZ7vBs+Y9dcL4xsDfXif+X5h3q+zxC0hRXwPOTnEa6sBgJqF1yMAxbD740yrDc40/ZptGDFLKDmHV6/4NEYfo/lrElfO4XaqlBdcJAoGJNtyud2k+quI3SN+U/iBKkYsZfLpFdcOlXgzQqO6yAqWfqbXV4TXVYSn6DJvcyqOXRO0E8/z8tb5iOpQnI/kv1bHv9WURwsctRPUG7o5H6ZgBNLXMmMsTKwRLJ2iVhZY6QzzU+/JrhY/AZ/sPwf+WBgjOD0GKOpi8hkga5TR1xMkcCg22exluzBWKgytfcyst1huVflUj2Fvypo9DfYW7nOhdgIic44b5ZKfNyXpa1NYMVVisEcaXTyskJXuvQJG0/bWp2xqKylUVn3b0TOo7LmR6mvO0HkCNdODdqDGDN4chEu0WyC5yEaDWRq64Rru+cxizqKfv8FJOhKrAkTe9nFHFSxf+mGUlYm0IHuskdn0UFNqNTPtjF7dWon2zgVN3TqdW77wi12N/DAbwV0Fjyk02XoTx5tochb4V67wLX/Zp3GdZ3queehU0dVWriORRiSU0G6qLqLagT07PsZucHLaJZGPF9C6Xj05j9B6AJW+pB+BaQPwgkLQTcAxUe0YlCsQhOIp0Hpgj4AxiDI5U2yVQN/OnQPin4QzfDvW1B1ioqRgOj0NUr58RC9/kYNO83AgJ3ZGHi0ohn3bdfuQteGRht6P39NfhDCJXsLYYTrPmig4Q4o2FclxQM6yz/xSTTXGD3pkHitCZmrFNQhcjPDdA9+RG3PG8QvNHFXDXKN5yhpa+SdFXTqmPJ9husGjXOS2lsulRezKG93af4qQa4myLxsk+tYuDGdVcq48hoNdnNdaLwQvLDlcT4omuUKFz+uwuVVdp+aZj61yFc+iHPq1TrsPsseZ56rMZ+T3zhMYEtOdX+XTGsBdX+MmdUePja/yofdEiN1A883uWwfo+RvYGUbTF2t07A2SCRKjK42cfIV8kqNWT3OwfZJ5NA4hYUMQ+0aalGSzC4y4H6ILjOgKxDMg/It1C0sOVFxskF07NOzuMc4yogc4dppjnyUNiV/ZnPx6GioircFCCHw2j61y22So3Fig5+ftnCrAdxqfSprUKe76JB/JUlrukNsyMBZ83DbPnKzTJf0AmQnQEmoJMYMnFWH9Z9X7yRbN3DPGly3IAj7m9pnEhs10TOP/tZtXu7SWbRZ+f9pLPwgRlBVQAWhZ9EtGdZQEQFIFyNZozh5EtXscuDr/4r22iCBKJIZXgDXBkcNa2rZwKoaRvayQAooAqIFYja81ikJ8Rz4bYQxg/SOhxEs2QkFNMQu0CdBORISrRu1tp4xRMFIRM0jt9X+RmHun0Y8SITrQQjXTu3TA0fGMknk6AC497dRN9opn1xA9BZgYnjr5/m8yNYtSKah3VDIvxFnpjGPvqyz+3KK6aUmrfkGtdECNT+DUR0hz27EgEW2fxflP22ir8yR9RxayRRpTxAoEiNxHbWsUr6SYXCwxfV9dbyqjRlI0okO7VQSRc2SVNdZU3MckccwSdLHY9gfO2vDfJfTdUHyr/+abqXLGhUKcwsoIkkhmMdLnWOp3sNGqp8r4iRTlsdPtW+QVRNk0jbvZofIdaGZ2oOcuszQyQHk2CrL+SrutM5y6QDZ+hrlnnX8RonMxiI+Cfo6RyhkL5CPnaA+/lX6Fizi9SVS0kEqfaD2g/YSoIZquFtEVNadLwnXo8GXhOspg2VZNBqNbbV5GCpQT8yDCIiVFbAs5ODnp40JIfCdAMWRBPb9z7ujlBIFAlfiVn0S4xZmUUfLqvi2j28QRmd8QXfNRUif7LEkzpqH2W/QKTt3j2j5n/3+u+3hUgsQnzTo+WoGs+/R1+jwWj6X/++LVN9vkDkSR/pGGI3yAqQNvp4k3ucg/Dq+DT0j75MduE68L0D1DVKZZbBqUGuE0aucAmYJullkkINWHOwGlFVY12C4BRUz3K+Q2w3aJGhrSL0LYh3yz4O+B7BB5J/6PVgPiigZtCj08waedYP2pLGTPVwPUkvrRvuHuRfrfrjdHoq1MtgOcvzz7dONdqLZRqaS3O+p2YndFQL6AhsqgmRxmLZmYrVV0iWfP/u9Md5U3sbQ11mMrbPQ7/LtgX+A8lyL7FCbZqVFwqmS9GL46SkUsQgDaxirJoMX0qwEk7S//zHZeh0ch+CUQvWQxqlMP6JWpNHXw2GeY0JObKvPO4GUcOWnH5P6wRyDx/bSXI+jpT6m5PZQmFym2clgx4a49sZVaq0eaq1RUusZlvM6Yt8PaU9rLMc1hmjRPjLG3pUuY9VPWPrGLM2hA/Q4Cd6pfIvpjk3nK2WOrl+h3jNG0lggP5vhdXsvYjnAaF5ibaTL8O5DJLQC0pAgkiAeUXr/U4KoRONurClRWfOfdRXdSBKunaYUPogK1JPclBw8/3woC76FdmpSkH0lga7fn5TsyOAG4FTDtEEZBGRfTtFdcwgcH3/NDz8veVgjBpUTHaRfhmCzqPO9TpUG6oR3owbcZYue7EBrOtwL1tt398VcBpLOvINR0NCS29t87tY8tKSKRDLz365SP9+m+n4Du+qx/us6SlwQIJFSga5CECRRsx6J0SSqWCCbvUy2aGJM7QGvDuW5sPCwHge3i2w0oa6GhYhjedBi0J0NPcPOOKwnIJuH8V3Q+xyk41CfB7UZFl9W+kN1wQdAVMhBlLxyUUrRi1o+fxSxE/sED1665InapyN7wN+6g8//yvMITbsv4dopIaThcT2YZ/16FiMzSu6F35JcnuePz8zTTHfwcjbOwHX81iHOn71CVvh4hkVDz+CZeykYbeoj6wxUXczaGBt9Cu5Gg7X9OaxdFZSaQ7AmoA3Dfpd/1zsHGJTUJvvFScblOOJeo1uwIaFCbnuvXu0m6AZoOrg/WOa9mYBFucjQ3hYTv/5bznxlmW++f52Rly9SswTuXIHOdyZ5sW8DIYukfmLxvxc+q4l9OOt1fpyv8UcnBjj70jWKdouKqfCbiQJNs4tjxOkLxlgemGdxWGF0SuOq+D5j3R5eqS5xZMVlQlgsdvaSkgWUDQuOpiHb/6k407OOL23po0GU7OlOEDnCtZMc+YehAvUkPYgYW1M0epAc+S23UQXpg3Fa17o4Gy6xok76QJz6pU4Y3QLQoXPdRU9ptK/bOCUXv+OH+7zu8i4iJEiVUDDjXqIZbUAXOKV75/H7nQDflngNf0uEq/Jh2GHFFDTPd3BKHuX3W1Q+qOE3JL4nkU3ClEdVhpE4HcwRhdQkJPOSnjcMGht9LDW+y9i//B0YHIOzfwVXfgqKCaoB9TlYOguxHBQmoFML1arsKgzuh1gGYinY8xXY8wIIFWQXknvBqYBlgjZ13/E8K4iSBytKBGY73s5n2eg9SuzEPsGDpb0/rEyKHbdT1S07BLdzvp3aT3kwTlcAlwNGhiX6Gynsn+i0Kv2cbwzg5Jbod7scXZUQ14j/3ONiWWN6fJhvXfgtdX2OvFCQNOl+NImZk9QOzdCzMEv/+QwJX+NnfW0OZbs4msGaPYSSOMcr3n7GxRJSCRDi7vMhan5YM3ILhOvyGYHdlOwrdPibchz9MvQP/BL5PzpsJHWUnjkSG6to/S2GNqZpHW9Qf6NEX6mH61Yvg/EBcuv/mMFClVO7LjE18S/5Ws8w54sN9v6kTWtwjj0bhxhZq/GjoSqrKZUXNJPhTzRqiSXmbYk/kkfbGEA1Zvh2vs23xQBa0gHPI2OMUVULFCoawup7YLIVpXUforFGRpFwPcsqupEkXDtRKYQnowL1MNWjxPo6ALJ495zonRSW3MmcqJZC+kCc9oyN5wTolzU0U+AEgAHtSy5q1kVLgqopBL5Ey2uw5N2VcMkGn2pP3Gsvl9GrkTueJD5o0F10QIB12x41LaGS3K1s+UEMXMnyn5epvN8EU9Kdc3HKflgPzCdMbZSbv2cBG+J9kB5sYCgtcsYS1oyHP9+if+lj+H9dhm9+G15+EwYPg10HMwNuKyRcZgKMFLRLsHIOjv0RDB4CxYDydchNgDa+OSmdsPiysRvkPVjoM4ooGYmoeDohejXDooid2Cd4sLT3h7FXeDu4p92oNhCNFnKkf3vttnue+7VDsE/uA8OGvQoXZqZ4T1Pw936CW0lBx0WLVamO1ek5o7MgDMy8y/ClBdY0h1xzDG1+BbvXwUn4qNlFRv1VWo5L8YMus99z6Cl2qE7HKSeH+bZfZ77Syz8zXiGrHafMDHU0xhm/o2/yQCzMe9wCZAArP22xtlRlJL3MwuWTXOov059cYD07yEDsKunBOYxmhl0FwdwroGkTnPhegfzHKRau6Ex1MqzsnYG1Kr/W/wx6+vl+6vdo/n4fhSspTEth9bjOq+ZF9nYFUzGDoqfTulKlNunQG4xQ6iuw1oAxJ4U2spll4bponk9PzIIBD7SH8yoZlbUpKut+1Nb8KDkwd4LIES7Lsp6ICtTjTtm42/nEwgJIeU/CtV0D9SBpLAB6UaP6t1WEFCR2xWkv1KEFBOA3QMtoKHGB8AXOhht+ds8vIyQ2GneNcuVeiSNMgdeWtBccFFXcQbhg6wuLW/FonGmz+OclvGoQnr/JTcK3md4oUiH30ZMKakGgpQO6bZ2g6tKcXcXWbPqzv4H5MwTtIorrwOAwDAzBwFj4Xb4LiR5IFiEIoLECh34XlFu8oL17bhvILfL84uE8plHxIEaJcEUpBeLGvD7LBu1J44Z92u4L2ZOKcO0k1f5eKfrK9UXw/CdOuD7FsM7ah9eo9UhKX+3wwm86xKuXWE2NEsulMI61KYy0mS1VWaTKkfUTkF8j3QZRSuB2xsnpJ/DzHnPDWdT8PNekRfu0zVi/RtXPMHtUQTdzDJl/zEfaDINqhbISYGAwLsfvNqgtdb3ThplL0PrxLMfWrvGL3x2gWC9xSLyHl+vy4vBpGqZOe7LN7KpFynC5dOYfsnbq27yx8udcqWToait88PyfMTP/EnIxgRM/Q+XwSfar+xnRRjD3h0WweiUgD/F8arN7Rx1SuRH6rdA+5YCp7FFCj+omdD38gYdGtqKEqBCuG/2MQl/h2d9jHLkn5UEiXFGS3f30pXN+HrGyQnDkCHJoKNwtu4Xzbauw5A7hNwNUS0FLqQz+UYHuikNnqYu3DgjoLrikDsZZ/g9l7PX7qFjZhFGuu0GHjZ/Xcas+akwQGzDp+ernS+TfDd0lh868g5pUuPL/WKL6cQuvFoTn9jfPv9lNkQm3YFl9FtaATmxMp/5JCzSB0Z8kkTHwfz2NUt3AXV2DbhpRr2B1/xp6euHIUfjm3wmNkqqHZAvCCo+Zu2wu18xtj2cniMrCC9Hoa5Q8clHbQB1F7KROJDz4Hq6dRrhg+y+PN46VUqKUa4i5ZeRwH8H4EKLe/Nx2j5VwdSWZToqMVeM7EwNcTpyBj+MoboPrbppjV1ZI18vs/WUNZy5BLGaQaAhctYHnBaRjK7ixPtzJJaz8IqdqBnyzirKmkG5oJMwqBbUXbSPOO5P/nt9oDv8bv4/eIElC/da2u1uvwPxVgT4q+dO3VSZ++UPedFXOjfhU1q4zmEzg7nIZMq9z3phkdGSZuUmXD18qMFj6Jq9cb3BpfZ5se4Ln+zOcGPkRF1sOV2IfM1gIiK2qFH7u8NPsh0wdXeQbxpukSYdCI7de/oG7bGHQBGjb346xHUSFxEB0nJdRcgjC9lIKo4hIEq6dRLgeVAXqScnC43nguuD7yN7PF0143AbN6tdR30hjrziU3mtgplW8pga2h1eC1nyH5HWL2IhBd93Br9/nCwPCtEKDMK3vBiT4HfAbEiOtkjoYw+jZvlKhW/VY/dsqqz+s0Lxoh+RKEj4FAWFkTQA6qKZCap+F1W8iA4ligJZWEUmF3jc1mqd1nOF9iGsNlHYbT+qoQRuWN+B/+Nfwh38X9h+C8clt9/OLjihFuKL0knDD+N6vv1F5mXgasZOyJfBgEa4HkXeH7XuVbyVcuF4omOH5UMwjs/d2hD12wpVQMV8tsn8pTedkh6V2P2cmuhTP6MzubhIrK/TvPcGe+jGyH5kkjSxeLIZdyaOLAox4KMKi4hfZuGrRG59hJedT7+nlzNtrHEp6vHR1kZ/u8iDocE3RUHydvfIokqFtd7fZgqWFLkt/2mboxFlyzid0lFWs/BRpEeOlxk8wExdorJn0qvP0HJhEK+hol14gXdpFYfAdjrwyTzCyHzV9DmupQLKqM3HkV8iPxkiW+yh2G1wxz7A+PM1E/zDHxLGdz+8XGFFZ96PkEIQvI1xPHZ6UCtSjjnCJa9cgmUT29qLU6wSbtbfkxARyYmsys49DNON26CkVAp3Oio0E3IqPbwMmeGtQeq9Ocl8i3Ch8O5G6AQtwCQmQwZ1qhhKMjErmWAxhKvjNrffZtwNKb9epn+9Q+kWN7qpD65Lz2ZpgN4JLKihZSO4xUZMaekJFSytUP2wihUlsj0ntww5uy0Q3XbyFZQb0t0n4S0hVoojNflU24Gc/DUncN74Nb74FlrXlPj8qRMlIQDQIV5Q8iNsxZlEZ09OGnaS8w4OtxQ+SSQFbI9hiaQ38ADnSj9LqIHw/TCvs70H292zpfNu1ow9MuAAsBUZMFn/iYF7q5cDKOrgWA3/nKnItxv+UXufg6w0O/ZsKHXsD3c8ReDp2r4OUA2jVVS7kJslpFxlqq7R/nefn/9skR85tUMsFNNwu4mKJxldH2cUuCoEO4l4FJ+8CaXOtMoP6cY3LJzIkZjYYeL9K9TvTHHr/55hTNqnDl+iPe6xMd+j0DBKb3I2dV5D2APUFwXp1A3/uKIm9E5xPLTKYPc/IvE/2ZBNXGaCSGiHmGSyt9rNRsCjsucrCTyf4i6kPWTq0yKup18jx5Gs5RsnREyVbGoV+wk0V3aj0dyeIHOHaSWFJeDIGbTsGRqytQaWCNAz0q1dJzc7CV76y7X4+doMG6BmNzP4EekLFa/vUL3dDAqWBV5V0Z20Ch7uTLYWbESYfhEmoDPiZjkJs0qD/93OoloY1tLXoVvWjFrVzbdb+qkLtbBtn3UO2uSk/f2OvmAC9R2Xkn/RQeDNF/WQbqUBn1sZv+qhFBS2t0L5sI1WfxmWfbKZFYeATErNzYGoI57Z78vo0vKOFCoMDg1AoQl//ltS8vuiIEuGKkoF41r2HTwMeJKXwSYhmwDYIVyCRI/1oJy+SubqE/Np2a2Rtf4/xgzoEAdAV/BdTFMQIic462cXL5D5uYtYlibPPM7Tcg5I+SXI2RiPIoojLdNYNZNqhXZQMDla4GDvInvNXKRRijP80S+OAx5WYg53pklzSsbxJvi+/R0xNIfn8emSfIlhE1P+Gzt924YcOkzNdumqJlJLh4lQvF/Q9TE0vU1i/yHJqkp/9V9/kX2rHSJWbrF82cS5ZzGCjnuqlYvWg2j/GPXCexfWv4HSyLJujZOQaV5ZGqMbW2HPwNM1WGnstzqjbIpg/zScjM+zuTJBrx8JUQvPL9WGriMK6HyX7tJ09xlEZ0+2IJOF63JuSHyRlY6sGRk5NIWMxiMcRVozWfdIH73e+R6lSeDf0fy9H81qX+tkOjYtdpCAkUYrELt9DMMMgjGo1N3/XQjX0OwofyzByFnQlegKqJ1pkj4M1dG+5fLfus/I3Fcq/bdK60sarB8hO+F04hEQvBnigpwVj/+teBn8/T2xYR4upNC51UA2F0od1rD4TPa1j9gYYPSrxfAcFkN/7A9QrLvLXP4GVlTsrr0xfgmQSGnX4/h9CpQxjE+HfvsQ9ETVPZ1RITJSicVGFaZr4vo/v+2jbEBN4kAyMB41wbaVtsGf8Zq2tvh46pcz2S4o8Jln4u2HPcwprvUPk/R9TWawQfzdJIrPMa3MWjVhA72Ie13UIqNAmjc8a7rxDMVmiOb7B7lNDXNw9RKHp8FZlkfewaL9YYm9D4Zzs0iidoJ74NuuLezjTqbN7zzUm+Zx0cl/i/mSes1qcT5b38M0rV0inP6Yx0MA4XaA55hN8MkD5u2U6mQS9Y7v4PxnfRKrPIetzJJLzUBhl/FfLOHqKoL+LnYnR446iHl5k2ZAcN0dpGinO6L9AX3dZLafIraYpjbQRyVV2yRiZ+SYXUn9Jb/2bdIwiscEsGZ5c0eKorE9RITJRcrJ9EfYYR45wPUhK4dMsmiF7bqZl+EcO43700Y7O9yQiXADVE02cikd6v0X9vEFn0cVvSLyGDAtt3U0zw+Vm+uCN6NctUadPP1PB6NNpXe3SnnYIXB8tpWIO6gSeRDqS5oUu8XEDrxnQWXJY/2mVlf9cpT1rI+2b34MFdEHNg57RMft0ci8kGP2nRWKDBrVPWtTOtABB61oHe9khPhEjezhBqeVjL7noBR0lNoCQy8hvfRe5MAMrK3eOT0q4fAHaLUhn4E/+KWysPTHCFSUiA9EwvlEiMVslh1FStXraYG2mDne7XZLbeM6flENwyzYgfXMscv8k9srstteT2x2C2zn+QdGYX8dc66COHKHbnya2XqWpulwcDjh0vUOmpeEKh5a8jic0FNnGTqssxLK41Sqp3iVGGi1qF4psfKPFbFOjYec504xxaqjNWMxgjRkmY128Wg/1hTQMTyJdD6lqnJCCASFRgZUAri25DP88AarN8zN/TTZbpfQ9g2a+STVvkD9T5of/4hW+G9M5MDBF2vhHSLGX+kWXypJNV/Qxf9FFbQZ0imX2DhxlaXkPQTwgXTXJZz1k0KHTn+D1+b182D7P2vQucoNztPMtvGYcu38eC52lYIPziQT51FvU6D5RwhUVRIVwRaWf8CXheirxJPZwPWhK4U5UoB6HSMfDNGhuzcdZ9/BdQe+3cyz9hw38sn9zf9bdamzdSqoUPhvZ0rlJwgJASOqnO6QPx3EqHus/q1L5oMHS/1wBU6KiEJ80Se6zWPtRnfrpdhgtu9F+s2gxWpg+mH0hTv/vZxn4/QJ6SkMGksr7TSonG3RmnbBwshKSufZch/acSd/fyRF0A6QnyB6PY663UFJF3KFh/HgStX2nQpdotZALc7C6AuvrcA9J/8eFKCy+X6YUPhpEydsZVdwgXLZtb4twPWgdLs/bWa2+nZx3W0TttnZPyj5VtApa2SZ7LY71Xxyk+//9Fd1WhtZIk9i8RS2Rwmjm8JUSbb1Dn93FaeeANgPvxQlSPuKQQ/1MBvFvIfNKhunpRRItHS+/QDbeZdydoZTZwzf+yqdZ8lkc+wknlq9yfcDkNy8GHG728N2red5TJPJ8DaFfY6CxztXdPlyfxVmPs6rtwZiA3v69fN3bxQvj32RI9AFw+TQYJ9u02rCaCujvWtTHL3I1GUMQ45D5MrXgBSw5zcTYAFfHa/QKHW+lxWB5BS9fJTA8hlsGCJtrMuCU2SKjaLxUsUl3XZpJ8ISH9gReDaO0lkbFeRmlOf2ScD2FMAwjUhEu2Jns7uOQoX9oOfJA6mAM35ZYSBRdR4mJUG798/YPC0JC5gMxECrIKjfT/uJAG/Cg+m4bd5/Lyl+XUVQFtxmERO4GqbKg9knnJmm7QdZihGSvDZjQ85Ukvd/OYfXr9P9uLpwzN6BxtkP9YpOl/1jC6Dcofj1NZ9FFKhIjpePWAlJ74sTHTKQv6S45OAMHiYlV/NEJ7Hweq938DIfkxu+eH0pQXToP9gQMDkEq/aBT/swiSkYiaimFUelrVHEr4doOnkQdrhvnfVwlT55kSmF/cZRArSCGobdV5d0XEly73ktmtkDJ8+l2NMbwSAUZmlqAFhQxgyIraxOsplbodFxibzc4fWCNY+d6OfQbk7WeIrs3Zjk0vZdP3uzwi3iF7IfvoH78fc71K1zoNvn+OyvscRwG/raJM1wnmIlzwF1neWAXhcUqBVHlwxf20ZfZwE6MEn9hmD2FYbKFCRLJ/QiRQUqYuwLNqzY9P/4Z2SNdvOTrJAYWKKfKGKYkN9Bi5KjCiHYUGAB/lj30siAEJ49rnLBnmPj1MKOFeT6Y380ux2K/YvNLz2Hc7UONa7TkHK4vqGsD5Mk/lHl/VhEVGxWlNf+LoKIbOcIVJRWo7WxKvle7R0nUHpZB8+2AzqyLnlPREgrNCx3iExbts/euyQKEUS2DkDQ1QJpAgnBP143Pb6ALrfMuOODfscmLm8Tr9kiaA0oB1LRC/x8VGP0HPWSfT3ym76s/rKDEBI2zXXxH4qw6OGWP1H4T3/dQFZX4bv1m5EUVaEkVLa1CyUBdmEP4PqAiN0/+GeJld+HkR9CTh4GBUOb/CSAqRiJKC2pU5hS2bnyjNP9PGzRNQwjxWAnXk9r/FZkIl5SYJ11EOkEnkFzxM1zOZyl9dJKh0wbtWIeBrkGTHgQFBt3fkncVulYF0+hwTe+jPLZBS9foZndxZX9AMgaJwgrH/+P38IM1+qYXkKokVrVpiv/MgYU8VSNDIzbIvksaybNdvF1rLO09xXS2AVQ5ta/DXG+N9nM/p+wL8sVRXu/7Fmgv3dp1rvzKxSkFsDpPZXiGbF1j8NAlmnt0qr95AT21zsRkjdCYbkLJAwZ56dE4K6ivDZFT21yvqHRjNku+Tt2L0bfYQ273HL9N/BaDRfZxjAJPzj5FCVFY96Nmn7ba16iM6XZEknB1u93IiGZAeCOp21Cne5B2T8KgeTUfVFAVBXNYx614JKdMNrJNKH9OQ3fz54YUfJcw4mUQpv/dLrRxQ+zixqW4PQ0R7kxb3Pxea59BfEgHAfaaS+tKh9i4iXQlnWUHr+KRfT6GW3dxWh71E03Sx5Nk9iXQMxrxERO/GeBWPfSshp7bfHTqNaRhUNl3kLTnI9ZXkNypbM/qCkxPw8sNyBc+f0K/4HhWjcSTRpT6GlUIIXaU9v4ga/GDOhMfuFbkI2rz0AhXN0C4YWq/fTCJMuNxTBesyPPE9B6u9ggmZxtUNcmIaBC4vbgso7Q6ZK7CrrzB1EacXLfBpQMNZKpCYqzB9z58jtpoEut6D1Pnk/RvTPPOmx2E0mBkaZUXzvfgd49zfrKXr79bRzvdpFN12TuiMWqX+fUejfde8FEtlZZ/nGPBGCfVFscaPpxtQY9GO2/hX7e5fk1h7E9azC3splz12D1XZbozTma/pDeVw04WABuCDVB6QIT10ExHMPn+cUbkMqZss2ujTLqcYS0X0DJ0rpgusm+JbKfKlGsTc47Qp2a5UwHqS9yKqNioqPQTopUtslNEknABuK6LaZr3OfomHtQL+Khld28/307bPQmDZvbqGMXQs9u+bpN5Pkn14xZWTqHrB1DnLgzkFmiERMknJFU3UgrvAmNSwS0FyMoWOxdA4ILXCFj5QQU9rSEMkMHmvrOyh6IpKJZg/ZdN/I4kORmjdcmms+SQfzFJ5nAca9jEq/vIWwldqwVXLxPsP0zXtqFQQK7fRTwDwkFdOAvv/gqm9sALL93juC/xpZF4NIhSeklUIYTYUdr7k4pwPQ4F3p22eWiEK6YiX02BEGSWHDK7FS6cPo9y2Of4goq1MEInmCEvzrPOMJrSpKLsIy+WUZUNLNfh3ESCw4saRc9HFS3aZxWUxDnSswInXqBQU1keWeOA3yJ/6Cju2lXi1TW6bpPY6n5WezOorsLw9PdR3QXe/6OfMrYwxvC0zvuvm/ReHWdd/TVOt4e0Pc2k10+7LWhXXQIEfYWAS3+pIXIp9PhzzKZ/yph+GjUzRf9kAk/dB8EqN1WnwMfngn2e5revs//XLntnM5i/fZG2oZB9sYIfq3M426bdijPj9aMoVSx5Ck0e4YA4jMLjXyuisO5/ucf40eCLYJ8iS7i63e62CdeTinA9SErhds/3pDYl3xhrbMzAq/sM/kEet+Gx8B/KYSTqbiqFAkgRkqsba8J9ptldCdDSAmmAaij4vo9XvuU77nYeFVRdIIHqhy2EJhj9J0Wcssf6L2vUz3fozHRpr9jE+g0kAXbJwyzoWAMG6aMJhBCYPbfV/1IUOHQUlpdQnABUBYQSsrm7we7CB++GKYWDgzA4HP6ub62u2IMiSikbUTESUTJoX6oUPh7sJML1JOwTPL79wjtp8yCRu7t8Wfj/QQOqHkeOH0Qu9GO5H3DEW6JipvEaGpqcocMIKaNBKdlD0KOT7q5QFgl+u7uPvR2JcCbo6S5gzNpo8Q9Z7VGZG3uJ+eQ6GZr0911g9etZ+i9kia1XKfX/AimS5NfGiC3tY/Jih4XTDnNDSxyftshPj7E4kqYvnuTd4AQGGv1f+S8I6jHW/nOHtas2l1PzeMWPKfZKlvJVXrryMYOlDNawiib2gciCmv3skBFkUgXGVmuI2Ulq8zp0EnQPfMJCuo6y0c/L+Tk69Ryn/YAlWafQ+g3LYpm95n+Fou7FxUXn8dinqCBKhCtKJGarfY2yfYoc4bpBsnaSsvG4VaBu3Bg7MUywM6L2pAjXrd+pZzSyzydpXbUpv9/AXnXxV7gzyiUJhTW2cikNwITYmM74P++j+M0sbsWjPWuz+O9KuDWX5vUu3uJdxuOA03AJWqAYgr7fy1L9sIk1ZtI402L9Z1WEKcJIV1Jg9hoYOZ2eN7Ok98fv/XDHYjA0gv/mNwg+OQlDI2Gtmovn7j43to2cnwPXgfffg8PHQon4ZCr8eQyIwkIVJRITpTS9KBnfKMMwjG0XP37cSoO3nnenhCtKDsHPIKuxhz4Y0Vnfl8S8rjLcrXFZ5ugnSxKfdmeDVNBgOT1MrB7jzeoaqxmPyrhLXyePZ8bQD5W4dHCB5WAX51+/hhvP8bUzFtpzr/PywB8izneYja9R+ItzJBYazO6x8Mob5MoOL//yFX7z0jylnOT6zCWKZo2eRINd8SLFZJzT4jQHlX00zklql9aZ+YNVkuMBdnUfeUuncvQKGfsgSWscxN0FmBQURhhhqK+f2cQPUA4WWB8BJ1ApZ1xiaoylmIYh4shYjWVtnXpc0m87nFR/TlZVSJJEQ6PIo1fXjYpDMEqEK2q29Fm3T18YwvWkVKB2aphgawUpH+Rcj8ygbaLwlRR9p3LM/Ku1e6cU3noZNcAkjFLd9r4Sm9QovpVFz2iM/a96UfTwwcy9lMTq1zGKOlf+b4us/bgaBrluCG+4hIRrLYAWNIIO6z+pk9xjEbzTQJgKSkIhcAKUhIoiFXLPpzByKsm98c8trnwDEvDiMTCH4dq1zz0OzwPbgZ/8DQwMQzwO8cQ92zxMRMmgRcVIPGsphTfKWHyJnUEIgWma2xZ2ehKk6UHOu5NzbtfePMi4toTjKeJnX6L02yW8ahzwsLhAGx2FOoa9TuCnWOpLMTXn4seanJxc5aMXKxxa0OmZWMbf1cNVcYnywT0omaO8eyzJseCfI0UeXhSMAqL7MqiC1Wu/4S/dM4yfSvF35sdJOQH/wzcDzux+me+01kn+PM6hF87gPb9GrvZNPvqoxeFsH80ggWIuMqg16em5xKHhIXK553DVXlBG7ztMkdLI2YJ8zGRx6BrGzyd5dXmChR6Li/EUe178BfmFHKfVAkWzRb2bYUE9yaCyB7RdpMXjUyyMwrofpfXxS4fg04XIES5FUXacI/+489zh8dc5uXGux11Y8nZ0l2yu/as1/M6mfPvnQSEUy/AI5dvv8sz5tiS5z8LqM6mdbKOlVFL7YgROQP6NFEIIJv5FP14toHqyidsKwrs72Pw+B9AhNmRgr7g4JRepS9rXbMycjtPyCDwf6UtkALFhi8SEtbXB9vbR6RsAU4MLZ2DBgs/zcDcacOJDePl1OHQkTE18TIjC4hs1whWVvkbJ+EYZpmnuKML1RZCFf1KFj+9A28f9/6xTuqiglSWqr7OSGKHSajHFDEIzkGIXbmcvMe8y//kbL3Co9DY9C5J6r8PMWIXqco65o2UymsX+dYd8rI+GfoSPlBP00ssxeQzfB44lUVUYOHCIWK3GxZZFZdqlY5l41iK6t8BcOaA2rDGVMdm9/hp/UTd45cMB3m41CL6yipdQsLwSB9LnEfa3yYlJEIe2NFSBQEslSeV6WRxvoWzYJN+bwNPT6Pp+rrbWaazrWMkLeH6FBbGOWZZcKL7HN7XjhF7QR48oERmIji2NConZqi2N2n1yK6JxJW6DaZqPNaXwQRb+pz1l46HlyN8GNa2SORpHT6loffc5WBISI4NwH9ZduuSWfLyKT3KPRfuajdUf5pU3zndpTYf3Qu7FJJP/u74wKqWBekPxcFOQQ+sBa9Ckca5N42Kb5qU23ZUuTs1HBAI9oWIWDRRdoKW2rg4JUD5wBP74H4NhgX6fqJiqhkoeP/h38G/+Nfzyp9s617OOKC2oUSIxXwQP4tOAnUS4vgiy8E9DyvunMBX0gzGUEZONqTUM5W2OdT5ERcPDIKnbBIrB3vo8i0NVDs2dw06k0bq9WK0OQeCDXKd0FZYbLsn0NM1ghv1yPyVRoijDFLxrFwSzl8P1odfo5/e++3Ve6m2SL8xy9Do8fzrF8PU4M3mf5Z4xrvT9Pv9Pf40Pah1+NnKB5eJV1oeXyOQdknGXwMyxRoppLRUWrtwiupMaQ783yFcX9nDovYN0OhaOXCNjzNFen6BhKKj1HEbHIOiYnIvHuKj8kl/Y/z2nvL8GuT0Hwk4RhbX0y5TCR4Mvgn2KXITrSalAPW7vY9QKS94OPalReC1F5nCc5b8q4y27dxe0gJt7uYJb/q1u/nuze9agEUaffIk1ZKBnw1tXz6loyZuGJ3kgzr7/eoSF/2mDxrkO7bkuwSaZyx5NkthlhH/zAoSuYOR0rGGT+KCORCH/YpLUvhiqtYMHv1KGwRGYvgSN+uccKMIol30N3v55uI/ruRchndn+OZ9BRMlIRMmD+EUwaE8DduIQfJIZGI9LFv6pSnlXBXwry0iqQelkgvKiQ7Lhstv2SADS68Mx17g+kGRqTqGSX0N2DGb7BymJWZaULhePHyZW2WBktcXbYyl0Q2VSOAzJIXrpBSBbkNy6lI1ls4x/69v81fh/Indilr0rrxF8dJETIoZ4bZSU+zWM1gcMbPyCb8s9LDx3jfExFSiQ0DIE+SH6tCQ6sW0PuSbqFNwiQTmOqc4yaK9T6q6SNVwSvWXmh+qUlCwHlCQfJVtoyhIjrV+QkgXcXBVd9D+cuY84okS4vnQIPl2IHOGCx5+y8aDG8GmNcD3qHHmn5rH24yrZF5O0L1fuTbjgTin4G5WDFUCH4lspUofixCdNtPhNghUf+2y6g9WvY/VnSO+JUfptg9LbDZyKh1vyiE9aVE+0sEZUuiuS9oKDooLVY2IWTKxRHT2jkTmyvT1VQggIAiitwR/8vVBM40//TSiOcTe0GmGNsVQqTCf0Api+HJKuR4goRY6iYiSeRXIYZRWopwE3akVuB08ypfBxOgSfGsIFlJck8+c09IMTrJwp0ldxSNOLT4O62yZmOLR8HT87zHTvAuU9K6TLGWLtOOuZJYrNjzk3HnCtR/D1zCsck28xItPsFrs/PUdx4LaTmgryrRyvP/9PWPzGJfp+sUi3uJu9021++bJO8oNf8YY3RU57g5XEz6kvBNSbGczMGFpvkd4eQb94AY377y2+HfmPdI7uO8K7f1difnQRtZpgqdxHPH0Zu22y6+ODNA6e5qPiCk03IOubpHyLMcul5p+iR/mScEG0CNez6BCMsn2KLOHaScrGk1CBepo3JT8qg+bWfeqnWmz8rM76z2v4BJ9fh+tWqITE7Mal2oxy1U+1Se1NsPRnZUb/aRHpS7y6f7MA8Y3DPUnjfIf6qRZaSmX4HxQwB3Qq7zYovdfE7/h4NjglFzqgD6j0/14Or+0TH7YovLEDtcBmA6u0DqYK12fA9yARh+p97tGuC74fHtvtwuICWFYoE5/OhJ8pCjzExSUKC1WUSMyXHsQvcTsMw4iMaMbjdgg+LRkY4mdVgg9tvJ86uIGBWJ+g65+jl3M45Emyju8Kss0MejPObkfS8D0u7vMo1puMX7d4ve7wwTGf86MJ0mKVV4IlPhE/4FXxL5BISpTooefOk892kZ13GLT7Md56gzFV8Oup66TXzhMsrXJ4uctirkPJMMm4caZ6vs6GucGENkm/OgVie2TLxWXNWqMua7Q3XKrpdbzeFrGqjzjTC+klYkmfZMsg/uFhLn7/L9jQkgy3M1j1IVpmlnEpqPtVHJFFEZAXEGxeGuUhLX9RcQhGpZ8QPVv6rNunyBGuGypQj1sWPgoG7WnJkdcSClpCpb1o01628erBfetrfYrbo2CbES7X81n/eZXRfx7mxtdPt/HbAbnXkp9ZUKQrcRse0pVoOZXyB02MjIrRr5M6alE7W8drBiGXsWDkH/dQeD1F5YMmZlFHMXbwwGsaUtPhlTfC/Vt/8QNQVG6G6e4BtwsffRASq30H4Hd+F+ZnYXQCcllYXoSxSRifhG3UnLsXomIoomQkouZB1LTILfmRw05TCqOiorvTdjt1CD6S9aBXp7TSZXC5TrfmMequ0BQeTVVFUWdxAh0/bVJ3hkHvkjCy5Mtr9G+sEHNcXn4vS2U4xVcv6dR7e7iQWOJj/x1ek38AwDkRlgaRUt4hqW6XfVBVYhnByo9s3JyGxl6+XjS4plzh6rEzVHqmmVzusHffcfYeyLM3uBDW2RLbV7RVUFBR8V9IkKxJ+v67a1QClYtqgnppFKs6T8/YB1xtHmJJCtyZ55kcuMJVZYn1xM/RGgUG1FHGg+NcVmAggAEN5iSMSJjUIfGQLk9U1n2IRl+j5hC8X1+jrqIbSev7RTFoUd3DJVSBllZRVEFyIoY0Aqo/7YQfKmydfMGnES531cPPSmoften9VpbYiIFT9u94QNWYQmLEpHmxi1DAWXJpX+uS3GfRWXDw2+Bs+GiZ0BDVT3QY+XsquReT6NkdFni0Yti5fBidymRg736oVUHoUFr5/LadNsxcBVWD/hPhv8+dhlQGxschlYZ8AYq9O+vbbYjC4hs1whWVvn4RPIhPA3Za+PhxO/Xg6c/AeFSQGY0J0aU13oFMlfhfdtFI0NEFvrSQbKC3PGKFC6wMLTKrj2APpFncVcBkhYNn+7g4cY1Wq4VlV6kkA2ZFg1GuMEiJMTnGdXH9rhGuSk+CwDZJpVrUS5KZq+Du85nYNYfad5KTsasMGSbLh9fpUc5T1r5LPngRxPb3bQGoqPTYPaRJE6/BMXGIimxxtSnYdzGPmUzTSAxQ7lsgtVbE7yr012PM5WuUkg4F3qEuv44edCl7dT4hScFTyCsgNOiVD4dwReVF+suUwkeDKPV1p4jk6B434XoSZC3KKYUA3RWXzLEE6UNxuldv0YXfyTS2wWsFmIMq1ohOZ87B6NFJ7vmsbLsMJM3LXQJP4pY9Nn7ZoP+P8vjdgNLbVbyWh5pWMHs10gcTZI8kKbyRQqiQ2hf/VPlwWyiXUBYXwnmUEq5egeERePUN8LaQViQDqNehvA6ry7AwC3Mz4b/ffRvOngm/9wuEqBheiJ4H8Vk3aE8DouQQfFKy8FvBjXv1kTgF11zMQxb6sTzaBY+lWD8In5zdxZcuWXeeuGMjFINOdoOUfpKDl1KMzNWx3HFWcikKawZuysMMKox4c8TFy1xWsqyKVVKkOCwPI/js2jB/NUzFk16ZzvoZdv99hUmnRWt+lpUzwzS7GXwti5G0OJQ4TqZwIGyo7QF1ZPsDrXswbyM2TXBjo8nK3jpj+iu8erHIWNXg+NuHkW//DqKzm77xEq+OXmMku0Rc0SgIlzQ+Jhv48ieUWaJEhwXgNwGccaDzEIWOo7CWRsnJFqW+fhHsUyQjXFHyID7NohmPknDlX0ti9Gp0llySB2I41QZBZeffF1ShcbaLWTQwevQ7xDIApC/xOwFGXiMxZVK/2Gb1R2U617u4nsR3XLLHkvhNn9hkjNzhOLmXUxj5B3gMgiAUx5Ay3G81Mga/eScU0MjloNMBp/P539Gsh6SrUgHHgXgKVB1MCRvr4b4wuxt+/9AOjG4EERUjESWD9kXwID4N2Il9ilrh48eV8g6P5kVMPp+Aw3HW/ss12HcAh49YmVPQWy9ge/PExTUsoaCKHvbNFTh1KM7KqMn1iRpLQ4tsfCPFRFfwB0sOfUc36Om6rCq/pcQwC/4SB5IH7nredksQT0iswh5OlxqY78wiGz5pX+PD0WX04hD7D1SQPTY57QDD4mXyYmjnA/WBQCI2L3HzeYfgA480ywx7GoZRYkmxGPQarCgL5AdaNGWeoleFSi+x3nUUO8tls4BLGp0yllBR5SRZVNaAKwEoAagSigoY0VgOd4worflfOgSfLkSScBmGERkVqMctC/+0EC6hCMy8RuAHCBWCxj0OTBBKwvuEghl31TWR4Apas13UDxWaF7u4dZ+hP8yj6DcfUEVXyByNA9Cc1rAXPeoXmwQdcGoufssj+1IC24P4YKhI2LjQIX0gdof4xpbRU0TGE7CwBNUK5PJw6CicOwv5BahXoXwfwmVaoYy870M2G5KuyV0wPArXrsCvfhru6+rteyDCFZXIUZQMWpRIzHYMWlTm/2nEkyhbstO9Tjslaw+agbHVwsdbPXbbEAJMwdV0Gm++Rceqc7DbIMMSqm+j66NUMUnKMqarU+2/zkYyycGzOgdPq/zo7y8SjMSYH63TNZN0/TIXnSbYa5T0d9HMgOPat8nddjn2HgnHcn16Nx//2CT5bovB7CIf7F1AlooMvpZkpq/C89peurKHBRZR0ejjfsUs74GcBjmN4CLQCehr5EhPeqzaDsrkRUYur1MxLYKrabJLLh8c7PKiPcTcuk4xvcZGbZj5+AbJzgarsRpTeouMZzGi2BTVODUffu3Aug95Fb4ugGd86YiafVLV7dUUfVL4UqXwKcVOVAq/CKIZOzFoj+olvH3dxujXaE/bNK/adydSGmgJ8DWQNcKF+l57vJQwmNS80AnLWF1uAZL8iyniE+YdD2DgBThVj6Ar0Qc0QKKmFdySj9WvIb0AdBBS4LUC9NxDGLRuhPu4/u6fwK6P4Npl0AxQNAg+RyHT7oYiG+urIemKW3DtKnTbcO0aJFMw7MPQ8AN3MQoLVZQM2pcexC9xOyzLolwub6vNg0apILy+2325etrrRMIjIlzLDiRVYhWb7FyV7vIAPmV0LqOjIIM2bXOYbl+KlVyMa9kOU5dS9JZ6WMybTFTmWSss8LOhDMfa46z6CbRSnLMjl9ibqvIT/32uSY1XtZfYJZJYty0RjeQS2UYDpZHAnQT14BpmKSDTMBlc3gsDAlVVEQjatB/OmDWBomok3hrG3NtEWVnFvzbPwFIanGFOLx+lXb9MWRWMpcqsSpW8WWNO5BnWLuJi0xSDpOUoJdmmGsTpAuvAmIRe8WDRrSg5BKOCL23p04VIEq6dphRGKcL1OPZwPao6XH43wGt4bPy8hmKBW7oHOdbB74Bs3ugQ4N7tQAkIaIOvSYQOflcy869XqZ1sUngtS+G1JEZBp/J+E98JqF/ogBqgWArOqocMJGZMIzFhER81QrKFIPdS8uENPJGAbieMdK2twHe+F6YEri3fv22nFRZM/t6BUCjj6iVwbcjnwQ/CfV1BENbuGniAFJMI4EuD9mjwRTBoTwN2WrbkQRyCsLPn5kHqcD0u0YxHsodrwaa6GJCqdOmpdPFr86j+GgvKQfqD88hAI50uIWuwqOV54cPjaOo6rdxFKiM51vrGsAMoVgW5zDJ2aYpX/yZL7kCD+W9qrCo5yu4ZVH+ODX2MEW2MSSYpLSzR3FBYWpA4yTL6pENtZphX/qrL6e9e5tDyc0z276LeWkakBS/yEGsz6gJSKrQC5KIk/9oIleUy1TVJ0rHInDzGaDHB8gsVkqKN33eBBcNnijIZZYMFZY0x/3vsUef5kb+LDnnyKOSBywHYHvQoMPIAlUyisj5FpZ9Rsk9RisbtFJEkXDvdlPwgUaoobEreSY78Tsf1eVAtBcVUkQFUz7ThXloUAagFgdfY7PONtELBbRExGXIuN9wqJQUIAqQtaS+68F4Ne8MhtTvG8o/LeCUf6UvcckBnrksgwerVUVIKQTcg92IKRROPRoui0QgVCuMJcD3o2iCUUBzjfqhV4fo1ePEleO2r4e9jE+E+sMUFOPVJSOje+Brs2bdtqxYVIhM1IxGVqNFWIlxRuUeeZjzuPVy3Rrh20vZJpBRu9Xh4NPekLOq05z2GrteIB4s43RU8BlimhkOWYizAE23qhR6OnlvCjQn+7T9qY+odLMeikdOYPnycXu0syW6TqfQ0A4Uie/+yjxNXC1RfHmLf4XmG/OtUax7thTyrE2eplKZp/O0QsjLFpYEW1aFZdjWzxF2X/as9nPnax3y9/3sU1Odp0Xq4Y5YS6j6UXYZ1gWMaXE8l0RSTv5qyMc73kk3ajPhZrh0qUMmaTBm/YoQOy9LBocWAf44XyeMoi7wbJBgRPTjAioTLPvx5B14w4A0jtNURWca3hSjZpyhlNQRBgK7vUCk6IvhCEa4ntSn5i1hYMrnHwm97yK7Eu5cyugve0i3nDwjJVhpocDPaJYAEqDmB394kXzbYGw7tGZvuhEn9ZJvca0lKv2rgdVxkW+A2fUQc9IRGbMhElQpGj4a94pI+HH8k4w6KAzTrRQxTxdKakExAOh0SseD2ImO3oduFqxdBkXDgKBw7HrJLRYHeXnBdmJ0F5dewugKDQzC1Z1v9i4KhiJJBi1Jfo2R8o4wnsYcLdkZMHqdoxtNEuBi3GEi7rPyfA9rr68QoskyWS2Q5aCwxJS9RsS1qVQV7fINycY2mP062EWfhdxQ+PnCKA+Zp4lLS56vs8wVu3ySVPp9Dl1zI1tkYBU1eRW0ELDVi6O8Oc766weJsDGleYc7L4hYX2KNUOPPqRUrHa7wuX2dFXWSMYZI8vOyLT9eoQQPRewW5qBP4adqWweq+MnvmLJZacXJvjzJ5apX8n7Q4P7bEhKkTE5IlvcBBv8VZ5TLXhCCmZvk76h4WpU81UBkU0A1gAcCFroA+AYe38YYZlbU0Kv2EaPX1i2CfIjm6J+FBfBZTCh8l4QKwVzxSByy4V81ewU2SpYAxLNCKAqp8NrVQkeh5hdRkDKuokpgw6HkrjRSSwIHWvI2e0yi/36S7ZtNdDvBsH9US9HwtxdT/YRCraJDab2ENm+g9D9/P8GltjpiJ0BVENgMvvgr7D4WKg1tZ8xQFVtbgwsUwhXBoBJ5/MUwxTKVgcBh6Nuu6eF54/DOIqBmJqPR1q9G4qIznaUUsFtsR4YKdR6kep525cc5HLeq00zZbxca8JDgYZy0xilTWEWKFvLbMQaeM6eloisSQsxhamcDX2XV5CCvxEpcSOgMNjYAmCdlB8zQqRpozfeNox4ocP55jt/Iaq8svMzs3hdGYwe8v8bfjl2jXPJJOC80ok8u2OVjcxddefAMO6+QyRTKZAnnyj2S8AGgCqVuQMDEP9aDuLTK+PMh+t8sL7RKrhz5hfqSN1mxhu7upt/chvCxHHA1b5mlR5rfqOQzvbdLaFV43WvSpoCltenWHEUCT4GzuAngWESX7FKW+fhEIV2QjXK3W9sLtUVOBirosPEDjapfkVIzOvEPrtBNGpm6FJEwhNAAHnJpEtTb/pnAzrVABRVVQYwpmQccaNIn3mbi7XcrlDlJAe66L1wwIOuF3BSr0vJzETJh0pm1yryRJ7Y1j9GpYvY8ubC0UQWqvBXM+GBYcO073gyu41WUssYEu7yXXKEBVN2Xm7ZCIrixDbz80m5DOhemE8TjoOlgGZLan9BGlxTcq/XzWUgpvICrz/zRipxEu2Hk053GKX+y03U6diI8i7R2g83GXzr4ksbLJ1Xf2IZQyL/slTGUNG4ltptGTXdzkXnIVwYdTPehv/pYhoZOOJRB+nt1ek4TVZSPVwo8vUaVLtr6LnmKBHtVn/foR6n15VoIYG1abK7sVEuIKWa+JcShOLq/wm9xJ+nKDHJFHKFJkkMFHMt5PoU6B3UWYkhcn8/x2YBn1kxi5WJ3d0zneHpfE6qPwXgfxXJVsn4Wn11ghxSeayld8wbgsUWKduPDxlSpx6viksYRBTAkrmiQe7SieGKKUdh0lh+B2+hqVMd2OSBIuwzCoVLZX1OlhqEDt5IX1aZeFh0fzIm6vukgnQE0r6Ek19Hbd2jUFMEHtAU3T8T0XbxV8l5ueMYuQdEnwuz4gGf3Hvfi2T/XjDtIVaEUImtAtO/ib4hsiDbINnUWXzNEElRMtYqM66UMx1PjD35R5x9wpCoxPwtIi7DmElvtPBFddVNn5HK+f3KyI6UOzDdMX4UQfJNOQzUG7BS+8BKdPgWmC40GlBIXCQx/Pk0aUiGGU+vpF8CA+Ddipii7sTGkQHq+8+412nvc5yqt3wVMV4Qok9SqUfAsntQvLjKG0F7BEgG1mWc2s0I53mR7opbT7KA1PpT70N1wcWyQ5MIdn55BJk9dEmwCbLDXKiXV689/BGNzP2wfaVMsJrrsFDnw0wMCUQ8dIMq5fZCNIc00aqK01XpjYzyntFJP2JPut/WTJPvyx3g1jFlQ8ikMmZt5D9UpYQUCiPMDBZpyydRHPnqLz8kmuygI5rwPxFlmpU5ZVrogF+pzL9KvH8EWJuEgySJNFXScWJHAENLd52aJEZKKy5kfJIRilvu4UkRzdTlM2HjRH/nGnbEQ5R94oamgpFb8V0Fl1Piv1fkP6vQP+EgS+h1/l09RCJcun+7Qww9+llNirHtKFoT/pofBqksSERf93CqQOWKiaigSkC7ITfrcxrGEOGwz9owKp/TFqp9p4zfvso3qIcJUcfqmGNjFAvOigqDcm4ZbFWtNCUQ3DhEQ8/LE3lQ6vXYXfvhvuA3vzrXAX8nMv3CRga2uhmMYzhqiRmC/7+iVuxeNOKYRoRLhu2KcbP1vBo1LSRRFk9uhY3Qqt66uUUwZj0iUVrFFVO6Q7bUaWLvLCiQusKzHO77mK7Y3SIIe+cYi96w77fYnipelDcpYEdfUyv9lXYuO7hygPfpfepef5L6eHeWVpjMG6hd4ukVlXGJ84TXlklr50koZr8kepP2a/dYiznGWDjYc/1k3cPo8tVWW13CJ5yGJ0zCetVFCVNlq8hpFukquBeXGM5VKWFXc/o26GCXuYs0qKD2UNgl/xPv8NcW2Rr2pZUqrPMbVNUgFXQk3C9W3eWlFYn6Jkn6LU1y+CQzCyEa4noQL1ODclR72wZGu6S+BB45POzdTBG1zn1tNJcJfkzRRCJQzyEGwet5k5auUNMscSpI7GsBc9Bv+4gJ7S6JZdFCnx3RZe08d3gAqQhcSEhXQlilBozbiocUFabkMso7SBqJSRQyMQi9338M6cjZpUMfLhY2U3FZQSxJMZyBagXL5lYIAVg77BUAzDUMMCyJXa5rxI2FiD61dBEfD1b8PAIJQ2wqLKgQeuA+fOQKsBu++vWhgVD2JU+gnR8sptp7Dkl9g5dmqfYOeE63FHuHbqEITtvQQ+sgjXssPwco3u+Vmquk9V66OuD6MHNjkxR83LE1PbaFqbNa3LqFsnMFeJNfrxB22+2plHdS1stcwHis+IMFlWvsKE3MWCWOD39DxCOsi9Fu5ijvYHMFys4bxwkZxcZX9imNTI8ySKDgsskCFDgwZlyvTQs7UxNNuwsg75LOQz9z18Y1lgp6GwWUO5UhKs+4JY3MQtxmCpTJ9dZ1YY6FcHieV8Wuf2EXiv0j1eIe6/w/7MIjmnl7hsUZcVSsY1FF/DVF7nsDJGVQlJVk2CFcAMUA1gn8odtciiiqiRmCj19VlX0Y3Gm8JteFJ1Tp72Tck7kYWHR3MTe+0AZ83Bs338jgyDOurmz63J3TqQASUZpgIiQDa4o/hxYrfF4O/nURRBan8MfEjstTD7dYw+HU1RUBKEd7QO1qBK+7KDUBRUUyGwA6xeEy21jXSdILj5cxf4dvCZuXMqPl7tZgRNtzyMA0Nw4CDkcmAY4T6tG5AitEKJOBQHQFMhnQr3aHke5IugaxBPwq9+Dic/DtuPjED/UFj3SyFUN9wiorD4RsmgRamvXwQP4tOAnaYUPonSJY/bIQjbszePinCJmoftC3QnxzBzHNROUw5UNpQkNfUAzex+yrHDlIvj6Hs/Qq1LysMWRqFLMruGPTGDFAbvaj5lEWAqRf5J8A0mmeSAPBD61EYtKkMJuqQojcZQ67uZvNDDoohjDw5hZBaw/BwFCiyzTIIEU0xtfRBBEKah3+P6uZtlVCCcx0ZN0KzfXKvSSclkNkt++AAbEwnKIwF9hbOMtl16l3sZvDDO0KU9DG/MU7gUo1HuZbDp8y27yriooWoJjrhxRoNBzvAjTnGKDiUmFOgD8iL0lwZbvHxReZmO0pr/LDoEo4xIRrgsy6K7jZdM+Cxp2u5FfRIRrsclCw8796reDfXTbdSEgl/3SUzGqJ3uwNXNa3WDi9wodKyBYkHQhcAmJGMBdxY/jkN8l0XjYpfsC3Hcuo+eVvE7Po2zHVRdJb4rhgSCHkl3o0vgAGpA4AU4ZQ+r3yB1yNreYIq9yGLvXT/yuwHtGRs1piA2PYbpwzGEcnMhNp0VGOmB9KthIeQggLVVKK+DJyHrI/Ib4BtIvR8OvRHKvV+fDj+3YrD3EKhKSNiCAFQNjr8QHqco8MLL2xtTRBAVgxYlD2KUjG+UEYvF6Ha7234xexJquI+7bAk8WcIlLnVCBtAO0FIKayNFlFNFXLNCTVbQXBXPSRGzBtD8/ZRHV9j7/gQfpEdZ7vtLvpf7AF1ZIkGZtmyh+AoDXpoJcx+XxDQ5OcaMmGGPsgdpCryPW/imTi0bx02oFHIT9GeWSMdKFLttUuXdtMZa7Ba7GWEEZTs+8HQy/LkHZi4KrBiMToXzN743IJm8OZfptg27VBJxidMYo5m8Rme6TmZxFreTp2sbBJdTFLpj8EfT9K8fJWenMEffIyuquEqcF+R+1oI2Drs3J9hhSg3JVgd4ToQJGlu+PhFYS6NGuKLS1y9CBkYkCddO63DBzknT4zZoj0MW/kGVse4Gt+aBomGvu3i2B55Ei6l44rYN1pvPzKelqTxCkYzObV+oA0VJ/Vyb1nQXoUmQgtxLCbSEijWgExs1SR+J47Z8Su/WWfuJQ+BIWlccmiMdBv64gGaqyO05nT8XiilQrbCul4vzmTEB0GxAIgnlEnS68NxLUGvAj/9qM8VSQE1As410k/Dy3lBoQ1FgeBiWl8Lo1sUzcOR56OkN627dQF//tvsclcU3Kv2E6JAYKeUXwqA9DdhJhAueTK3Ix52BAXxmH9f97rWHHuFq+hBI5us6tpIgvraO5hXQZq+jBF3q+m66lk4maIDmU8ub5OILvOVV+eX6KKl9XcaCDc4aKuOBZJc0yNsx2uYc1+QVyiLgLd5ijTV6Y2kSgyoyrvHWHgMxYzIzsIvccodM+ieol7NcHlzhD9ZfY62vQkzeP219O8jk5P+fvf8OsixN0/uw33fc9T69t5XlXfvume4eP7OzC8zuYuFCoCQEtYRIBYUIhkIR1F8KKRQhihLFEAUCIAhyAQhrZ9ZgZ2emx7WvduV9VXp3M/Pm9fbYT3+czHJd1V2VlV1Vt7ufiozKzHv8OXne7/ne531egrco6IW4RXW+XXqw6bLp6OidQ0ykjpCrLBOzsiyicTbyEq26Qn+mSqN8mOhIN1W1SRdfJ2AtklRsKtoyvXTjyAgd7Luxr/QOXontlOFqF7TThOCXLoVPKILB4OfeBapdTTMyX41Tu97EbXhUTjZprVg4De82i3eC+IYY2/bvLhAGJYSfmbrV18IGUqBoAj2hkzweRTEUhCaI7Q+jBlVcy0M6Hrk/KlO90sCzJHZFEuiUoApyPy0THQshBBiZ3XnkheMQlsvgpHG02wOlVXCwNjV0yyUwPnaTfO2Zgtw6vPVrP/IFdKSbgoF+3xhjeR4cF+IJ+P4P4J23IBHzSdjG2u2E6xZIV9JctggNGW37IroV7RTQ2oUc3ugT1wbH2u7YyYQgPLyT7qM2zWjHGi75VBRKDtU/t7DPz3No4xKlYgrXFqiYRBUTtDhW0+adp8cY7v45XU6Lq0/VSUw6nDcslpQEhowjnTwx1SPvdNGFTlzE6ZeH0IVOgAAMBymLIEKFUF6nubyIvC64ckxD6v3siVgcWIvzQeIEzbQLGvTw4BNp90K3uQRGBO7o62XbMHdFISE1uicERk1FDNrUwjE2qk8TeOd9usQiU/Y4hdEeIt3DhMIKi9UNxssJmO+j84WvoHgnUAMlAnqGpLsOyt3riKWE7CJ0D9yuqL8b2uX91C7H2S4TgtBex7pTtCXhepgM1+NoYLzTgOa6D+aot9PgtNsDXLfuIW1JbG+Q/DtlvJYHMXwpoQe08H+2tr4H0MHLbX2/1ZfrBhqgxzQ6vxdHDSsIIbALDkaHTmjEwG16VM7XaayYyJokcTRM6WIdoQhaay0ifUGCAzp6Yhct4R0H4dhI0/Slf7dADSsomoLa2wMh1TfcCIXg6HEwdL+J8fUrMDwGk1M+GZudhUPHoFmHiSmY2g+Dw3D9KgwM+svcA415Ey2lYa7ZBHuN3TvHx4R2ITHQPjOI2++gz3tAexIQDAZ3TLgeJsP1KGuM27mGS6zbpFIesSlJ7S0Fre7gpB3WyjZJUUVthGnEopj1GIPTQaxYiXwuyqGR03zoFJGazjNyHR2XrPAIGmU8McyL3nfoZZgzWpMqVRIk6BmERg0iRYeV8gaqk6NHOUBrrUTTa9FQm+T6pjmuvkInnbt7no0m0vh4z0lNg2BYEkxpEIZ0GJoICoc6MIv9VMddes59xNFQFaX7AJWpNMvKHC+LPvqyB1BHYwRkEq8rg+JcBicMWuqepk2FDb8MeXUeBsd39RQfC9opPrXTsX5Zw/WEYieEazdcoNpBI/+gweyzCGjxI2E8S5J/u4ZT9/C2a7K8W/538EmVCiIK8tY+1rfWcClAVBKbCtK81kIPqwS6NDxLYm3a5N+sEhoy8GyIj4coVVycokSxFGrTFnbNJTwQxKk4eHYAK+98YpbLbXpUzjYIDRv3Ji/lEuTzyNFx3+DijnpCNagQHgvcvk405hOochlczyddB47Aiy9Ddhl6eqBeg32HYXjEJ1jPPAdDw7CZ8+WG90B4JEBrxSI4+Mlkq10yR+0SJLavZzsEifslXO3yjDzJeJgM18NMCD7qGuOd2MLDg8XgzyI+yakQvWYNkU0x7+wjJJosazWSyjkCcpBKR4FzQwmGW1UubbzIxug5ouM/xVEaHK9olNIVdGnSVBWEFEgzzsX0MLaco8ftwSSMhUVLwt/YgnQQXm1IertSMC1Qp1f4/+pxjkZX6e1dJWNlcGsmIiZYYolBBj/h4CXCfR+p9IAycvdlGk1YyyOH++5a4yUEDN1BfEKEiOshMoNQDQ0R1VYYivag7I2SjbsEtG4GXk8QHE/BUBDCCop2GJQBUJdBm7znIae7YG0J+u5xuO2GdolP0D4TgvBlDdcTi1AohGVZDyxNeFgXqCfdFv5R1H19Gqy8Q/H9GlpSRYuDIhTQPb++qXHLgip+Jsv1+2apXeCu4ZMtA19yCD45uyaoXG0y8HczdH07ccOYwi46iKBACSjohoLeqeM6ktKZBloYjA6FYJdBY9Eitt9FAHryk7NcTsXFNT2cigu9t3ywtgqJlJ+parXAdcA0fcJ1v0il4auv+tvq7vH1FRtriKMJpDIGc2WwTN/+fRvdPZ9aryVUQWgo8InL3Fi2DV5W7RLQ2kmm107ksN0RCoXwPA/HcdAf4P3wMKYZjzrD9agmEne9D1fdRZyoIDUBgwG6rRk2tQAlPYGtp+kK5lH6QryUKHKd/SwkDZLBOIo4QCj8S4QeRnOTlLVVQtJC86I0ojkuykt0KH8PTXyNF6UfYywgJCAkJCKukhYZyj1rvLewyj41gnEsTHy4TrXWwq3VacVaDDP8KSfggcwjZOi27irkChAwfIJl2lvx6fayi0+7jrEEHHoG6vljtC5lcEsbaNUSMrSXjDpA8KUWVBwYDPg1yABK2v/6BAgBvUOfclr3cXxPCtrlOKG9ZHpfZrieUAQCgQd2KYTH4wL1KInarY0lH3Sd3YKZs2ksmugVBXPNwehSMQvOzRou8MlWA9QUuFVuZLpuZMDunByuCzZfr5B+MXabC6Ce0uh4OY4aUbDyDnbVxdp0IQyOBaIhwJEEOjVUXSHQrSHUTx4cB7p1At13DJJcFxoNn2iNjN0XCfpERONw6Kjfl8tqwuZlRNcEcmCPr/f4Em1BYrb/Pj9vx9oO5/MkIxDwJz+azeYDEa7P+4Tg9v4eND7tposuORuxbkPDZSUUJpy20Ysus/Ig5WCc58tVxqYF9qJCpkdl9XsfIWo5fn3qFf5R93vsja5zFYUfKRCTBoM0+ZprM9z6gKHAN0ExAd+pwhDwqi0JBP2sWuOnZeZ+MUz++VXGQyU2khV+HXFIdXtMFRSmSuOI5Kc8L0JF6t//+O9LFVBUn3Cl4v7Xras9wN+0GtYRU+MoeZ1STXDtokJPP3QdCcDALWTrM0A7vHvaZUIQ2utY2ykbt1O0JZ1sJxeox1WU/Fnu516wiw5u3aPruwkCnQYiAI050ydUt94uD4iAllJ9IuaCu4JP/wW3u/3h/2x06VTO1Cmfv5kmc+oujVWT+nQLI60ha9KPOaNB9AjYNRez4oCqoMVVWut3OCV+GkwTlhf9TFQ0Br2+aYXb8qhcamKu3+5ff9/XMRr1CdueKRidQAaeQ7Lf79O1mzM8sgVy7bbja4cXWjsdJ7RH1mh79rAdrmu7Y5twPcpekU86cbrbevdL/ndtQtB1EdkreM9ZNF5MsVoycBYFJTPAeiLI3madqGOgNlpcivZx9ViEI31nOfbyG/wnB35IB1HqMsFHhInisKZ4rAsbD5dJb5CTTPM6H922y9U5WLoqQQgqQQPbNPh2tZe1Z13MpEl9SaDXRvjbqxOIQunBzsfzYG7Fd6XIpKDnZsPk6xcEa0s7u0zBkC8D1KcGCOzt4+DTkj1HJGhiV8mW63LbMbZL5qhd4hO037F+3iWFT/5I4S7YSR8ueDwuUF+komTPkkjbQ1EEqeeiaGEFPaMhQvgyQbjZ/NgDc869mfkK4ROtOHDn4SgSIcGuuuTfqNz4tRpWKL1fp3SyjlN3iYwGiB8II6WHXQKa4LUk0aEAni0JdPnZI7vi0lr99MGQWFnye7bUatDVDVsDKaGA2HZYfBioqu9ImOz1N7rLEFxByMVd3+5njXYJEu0kKfwizB4+KQgG/X5/DxqjHoek8FHXft0a1+5nv7tKuDwPTAshXUIHguwJ16FfJxiGr6xV6WslKAXq5L+9if3VaaLdv8bqmcbsn6W4PEJxPcAfVf8uK0R5yhG85Hj0SZt/qwn+dUjhrFLmdXHxtl2611o0P2zQqEpqXSGChw3sXo+cvYbaFATSNn0VF8IChv3r2aLFAgvIjwXCO7CQhXR86/8ERG6aN2n6pzsCfioUhVBMpavvsxFeTF8Q1KuCavnm79rhHdUu8QnaR6a3rcxqh2N9GLSlfulxZbjawTQDHoxw7aZG/lY5nmt6tLIu8UNhquEGzbNbzCqET6jq3JQQxvCt4m1ut4S/cZACoUGwL0DHq7EbvxZCkH4mglX2KJyoYDVsXMejMWf7+9BBj6nonSpd306iaP71sXI2niP5tDbIcnDYt2OP3l54rBgKsambwe1JfflKBkGUtn5ocveL++ShXWY6201SeL+zh+1wPk8yNE1DVdVHnuF60hUYO1lvVwmXriNfffbGj8nNEhwJMic66D1pUsUkk9EI1iNMOSUcbZ5KTfAnpW+SzxzhQOIkg8YvELaBY9iEPY2Q8DitBJnF5RUG+Kp8/jaFRv9TGtVFuFhdRDYSuA2di+/F6Q52EjhSoAeH7hbBmgABAABJREFUmDoA/QduMKQsWVRU6tSJcm93Wkb6fLI13Puxj0annvx36OC4JLsoiCXAtsAy2+e90y7vyHYhh18UF922PLttwrUTQvI4Gks+aheox6qR34JTcdFiCoouaM3eIuXbtobf3mVk6/smPuFq4U8DaPhPpwA0iRZXUQNQeLdKfdqfOa7PtrArLs3ZFlbexczaCAmhQQ0EqDHQEypqUPNNMLYQGjII3lmndTfoOvR/gmPUA8IuOr7E8l6QywjvJMjq7uxQZED4dlRCfkTQuLQ7290NyM0tEniXj9okSLRbhuvzHsyeJOy0dUm7mGY8yhquz2ICxrZgJgw1LMTmOdaCJkGu0JXbwD03TExs0JnMU5h7gUj5RaYn9hJJV1BDeYYC0wRkkBhhskqEF1yXrzkGYW+Ms16Oj/CzXGsuVKRLo1lkfV7jlFpA9ubo7JOkui/S2beEZk+xz0qxHtq8cWzDDBMm/Mlky784PunapfdPsw4L1wX3utylPFw+I8it7sruCEdhfL+/s8unBNPnn5yWJhUJ5Xtch3aJT9A+x/pFcdFtywgcCvnZhQeVbDwOjfzjzHA9csnGFmpXm8z8N2s05ixce2vbtz5p1tbPOuCCGgFFw5cXbn+BT8Q0IAnJY1FCI0Gk4zsNSk9SOlVn840qoYkAVtGheq5FI2shpEJwSEN64FoeKL574jYUXUFPPvrkbmvNxiran7CEin/CKsgcwrsEMvcJyz8ARC+22/noX77SBPnx2jkhpxHcmwA+9HF6dydzu4ntYNYOAe1+5RrtHtCeBAghdmTs9LhMMx7UaGl7vUcxkfiZEK75Fur/mCXxgUY51Es+nCaRLpFB4nkNGm6DwrMLbI7XkJ0tnJyHVZ5jg0MEjXVinonEZVmYZEUEaXbwnPMVXnaOMOjV6JYJAN53Bb9EJxZKEqtr7HlNkF02OTNWoG50Ub04RGhDMNO5SJ06zlbgU1DooOOTzuCBcT/vqI1VgedJqqW7f66qW18amC24clawvrw7x9fZJ0l1PmCN9S7AcXxj4Dtx1RVcde9+zXaDxLQk9yS2u4l2mWh7kAxXO8Tbe6FtJYUApmkSDofve73PuwvU9sP6uGcQtYSGnbdxmy5W1vKV6Do33QclN2q21JBva64FFMyW62e64CbpUgDDo/RRDelK9vyf+mit2my+WUU6ku7fShLqNSi8XcHzPLyKi9apQQHfjKMmqV9pEJ38NAHh/aFyroHneISHg5/Yz+tuiO4J4jY+4VkQvUixJQ+RDggdpA7OPHP6OoZI0C/37ui4pZjAtj+J7O0ypA3yCoJNoA5SQ+HPkNSADSRFkK8iZBZIIzmOEJeB6MNruc2PEG4OtFGksbPrdT9op7qodgm8nxfstFfk4zDNgAcfRLalpHAbKY3qikfDhVIuxVpXBDMssLM6XbLIShcYq0eIvfBjEm/HGZjPcOzvXyIUbFJXDPZ4DmdVk6u6h0DhupompF5AovBN5T9mXrR4d/0N9uSPIfsiBJMhjv28yWxigVVAFf243ZKDlHhbtdERRLwSmnLvXov3i+wSrC4IhsYknX23f/Zp13FoQlKr+Pbwd0MsCbGkvw3H8T2ejADkVmFzXSCB/cd2dq96h8ARDuvrj+h9KiV457j44VHMZo3RiVneyDdZEhq1tdNM771MV+irDM4eZ+WZNYbFMF1Xo+BJZOzhnsdlF95yBftUOKp+tqyr3TJc7XCsD4O2JlyfdxeonR7ro55BdGouauSmA1qwR6f7t1KUz9Wxyw6BTg1z3blJuML4pKsFrgSQOJ7rG2tsE64A/vIS0D30hEbqhQiVMw3MDce3eFc0pA12ycVpejh1F2EomCsOAoiMBEkcDpN8LkZ4+P76VH0SpJTYNRe37hIZffD1hSrQYvdZySziSOIgK4BKxC6jqsknJyct1xGsIsWxu36syB8CC8BrCE4BFmKrhkyw7YtyBZe/ROUAHv85yCAIHSl3mDWSEmGdgsbbCK+CDOGTVqEjnDWkPun3ItgltEswgy8J16OGYRiPND4pioLjPHiG4NZmxA/yfLSVLXzdhZAC2y1FEhqb3+pi5X2bzgt5uqiytC7ol1FsJYaXTzIdtAn84nfozTY5OnCGDvcUl9f6aYxqXFUUDsogilelobR4V7WJCY0ppY/31SWyNBmJZJi64qLSQkY1Vqs2EaNOb1ClErnI2oEL6J7gOW2KIe0Y3WLi4c5xC+WCoF7emQeTEPcmW3dC02Bsn38fZy4JqqWbZGyn2FViXXYQ15rIIxEwPn4xhPMzaJXorvwRf5CN86OLASpLTfq6zvP2ARehXWL95BL/zcwFnqmodKe/AspRn3BFd/7ev+gKPnAsdG+WkffriHSczQMpZsUsPbLnk5tePyDaSfLeTmqRh0FbE652cYF6lLbwj3oG0dr0+26pAZXYgZtGEsE+HWmHCXRqzPy32ZtNj3VukC1c/EzWthX8reOF7bGKA2iC3t9NouoK5obf20sNK7gtiRoQbPy0SHPBItwXoHi6DrqLnZdEJ4Ikn4rgNvxGxmrnww04hRDE94fQYupd+3l9JnIsJQ5elW53ALw86Bf8LJjI7Ghzu/VCEyyBLAEWiNu198L7AwR/DrzJ9o0XN9a7aULpIbFYRxDAIUVIeRoAKS/cn2W0dQW8OlLpQKn8M6Q2ijAvI5rv49tarkPsm8jAs4AKYndfd+3kqnS/2bjPe8B7FBBC7MhJ93FNCMKDv7t2I8N1PxMWuzEhKE7WIKYij92siZpIW3Q/K3mvp5fOf3We41oZNzzMvJWiXtMY+oMhUscruL/xNkb/OqPSxAys4Hkeez2XRc2iAzglbK7ICN/gB6hyEOEGGBDjNCM2+Z4qnY004lSJ6vU8bxzvp9Scp0yDvnnJWmyMHu05rvWGcGSBEeL3Pon7xNC4ZGyvn3l6VEh1SFxX4DiCSyeho0fS1b+zbe1afFqx/MnJVQtGble3NN7P8VfLq/Svvs81Y4NCYICVbsHRlTTG2gShXpvM6iIVr0lu/EOKAYNY9B/i7o36nH0+f1/HOevBhifYV5P8qz9W6Bv2yJp5WL3EN3/rD5jtDFCJf4WjfBcVFW2Xh+PtZETxRZkQbEvCta2RbwcXqM97UbKe1lCyNsEBneKHNcw1m8h4EKRACStc/39ksZbdm6NsG782K4A/Flfw5YUWt5voKbf8vKqS+3kFo0Mn83IMPEH1Wgs9phIZDtBctrBrDo0ZE7vs4FVBzQjMgoMSVGjMtAgPBQh03n8T0nue711qvz7zQarWjxQBkJsIqkDnx49BXgcspDjw6duTy0AYRHrHhyR5CkTrY2QLfDt6OMudZOv29f0EpovLGhWqylkiwmNcPnt/z6OTRZinoLWIYp1AWqsI8ggEUAFpga0C3wO1D4kHSuzTtvpA+LxmuNrlnJ5kGIbRFqYZt2a4HnS9R6H42BVJYZeOTOvMX4NLJwX7nwLVChIN2ch/9T6mu4Q2YHFhMselsRJKow+xeJjY1CzltMN6eYKMnWX44Hu0miqrYZ11RaWq6LSEy3ggy0fqaVRvjVH2oMkXWeY9AopHZ7yLhbzObNNh4XwZz4gwdeQ0aYbQNQnhXq7xASFCjDDycOeJb0TxqJHuAiMoWZyGclGQvFv52aKJyNnIp+7jAL0c4IDycffF+4XcH4amC6GPK0pmTwfIbdQoKFnUbIaRv/UW3elexJ/8E4yqxeHnfsTGepyrvQX+bnyTnoTKD7MKo67g65q8r/e+2YILHwhWSx5nfjJLI1Dn4ukir8Z/hbFvjeViiWp3mUbPU7ziJehbPO6T1N1sw9lGGa4viotuWxOudglon+fGkkIRxA6E2HitxOz/ew3HdmnOWiAEHh7u6se3rcQBFTwX1DS4Zf9nwB+Jh7kpPxSAKtGTKnbFoXK6QcfXE741+8EQ+XeruI7EqXo4DRfPxJcmupLE8TCBDoPwcPD+XAnvA9KTCOXh/uCFvA6ygFSeu2PjW9fq1vsmTUAHtQPhxbckct132eZrgIJkD7DdKOzOzUsMfQNF/hWS/Ujxmw9xEgKfKd95HO/jE63QbURr+ykQt/ysbS1pUeMn6p+wX1YIy9TdA5o0wV4AJYywskj7OqL6bxH2RSSlLbmii0Bs9a+JgXEMYc0i5R+TC6WI2quE9Duu+UOgnWbl2ulYPw8IBoMPPCH4OFx0d+Jsu73eo4hPu9G2RO4Nc+59+Ov/q0W3aNHzz35Fo3sN5ysX+fE/XqNU1qjoIZKhKpGAyaH1KVrRCTqxOFE6QOHZsySKAf6Wp6MpKn/cmsCOL1FQTPY7gjFLIafZvKPFWULhK1wiRJREbA/Z9yy8nIMdUIm31rD2XaXVu4pq2piJIUKhCM/wzO5JyTy5pRjZeYxaXYBiXjAyKYncMUcl5e2bdhz/d9E4aJog3Ql9wx/fpvJGCbI28vBWzb1+93dRvaKxfPVD4mmPePdDxCe4K9kSZ+ukS1Vyx7PkKrN852yR2nCdeFPjWqGDsMwSz2m4Aw4tKVmtpXiuZLCg/g1VEaBv7nfQvY/HJ8+DhWseibTC2rJANeZZ+qHFurJEbHCa+IaNcXwRLT5HS9HIqnFmp4/zvUyRyubbXGi8jHYWXt1hDdzd8HkkXO2OtiRcQNu4QD1OKeJnLdlordk4NYeVP8qT/esCnunRWnX8sqNP2KRXBAIgYuBu4me9oviBIrC17q1SQymwqy6hPoPEMxEUXRCbDKGFVKQH8UMhSqdqmBUXvVMgHEGgW8fM2kgVwkMB1NDD/zG7TY/8mxWCvQbxw/dv1nInJFGE+PgFEvI84CDF8Vt+dwFECCkDQA3JvrtvU7yCJISQ7/jLc3di4T8Pgk+dSpPSt6dXbpG5uBsIN4fU9921SEDIiwh5EkEZWEFyU0J4K9Fia+85YBY4IRyq5MgzzyaL1HRBRNwetZXKv0baawjZ9DNb9iy+LrWEwLux3e1moS4WC7EgcbUH01tHmldohf7hXSjiztFOGa77kT/uxK3uS9wdO41Pj8NFdyfrPozZxiOrMS46iKzF1bcdzv57h9SmS6L7ElrfGfS+Au8On8PraqDUohTtKHWtynMtQefgecoTRa69902mDv4b1oMbfDA1yIXWMKZWwTYMwnKWEUvioaAoHkJWSIkYU+7TxPRNQjh0aQYtxWJgHOrXaswNXmd23xyDiRaGFUWKPOtykf0c2zVXQvHzEiQ15HM7z+aHo75FfPCOEDd3VVApwpHnb96P2UsCz4NkxjfcGBy/+72Sz8fBlohTdWi6yFeTH19me9yCgriPe16r+ERvG9Uy5FYFvUOSUOTjyy/OgPOuQzh9mb7udxh45/uc+HYnf2/x3zB9oZ8X/6P/J1aiydu//B7i9W8y8eJ1/vIbNUInRpmcvEh2YZDZ4DWCZ7vp6L/9mT/5+grh6DKrp9fYGDpN8adFGuUpNr49yGY8zv+68m9YisRZTcZovh5ndn6MfV8dIeENMW9qnHnd4ev/8EtJ4aeh3eNT2xKunUg2HocL1K22u0+qC9ROr0lr2aK5bLL5RpXmkkV4wECLCOx7NbC4FSZI9/afb5Ct5tb3Nj7xskENKvT8IIWdd9E7VMx1m3hPiOhUkPWfFBGGRHFAtiRdv5UkmNGxCh7BjLYrZAtACQqMtIbRqeHUXZpLFrG9OxjCi14kH5dLSJHizubEkgxCrm5J5eL3rN2S4uDWdy6Se/czsZ1uPPG/5W7ZqdsO0ZlGShdUG9StfXp18Bq+XE/cxfVRNv1jZJXtFOWtZOvGtvFVpQXgioCs6qLIFioaV5Q36ZVfpRH41zRzS0S0I0hjEmq/RrHe3TruHND6GJm7FTlNcEb7KWuh1+hvafTKIxzfpcL0bXzpUvgl7oXHISnc6WDkYVqQeJ6Hqt6nEdAO9vUwhEvMtcB0if+sgDcbJBYTqF8/w+r4+6xe38/KtaeZSZ0kKjWmepcozPZxPVWlu2OVjLvJtd8uM5xcI65V2Gc4rDgxztp7eTFxikkvyrIiiXktKtj0eZK/zXdZVDdIuB0sIwhlJEwFuP4Lj3A1hBZ1GSg1OBAfZHignzfVGUZE5+5awPcZyKgKjkRcbPgZpQfMYiYzPoG6E4mURL2jdjmZkawuwIYJgRB03kMFKCe34s18C2Hde9gZTbgM7n2Vu7/Vb2JtCRwXSpswsGXu2Kz5GbdGjbsSLrMp2By30Bvz6AtB3nw2QyLfzRuNVzlypYfNjjQ5TSV3bYJmR4Gvvv0CiyMWeyb/Bq1jk0zlt3BOaPQdmePPGjb/6k+K7JEZJl/02Civs/TjGdTnzrBWSbLXMVnPBDFGl3k6doH1S11Eog1+JZ+hxBCh1yPMNob59fVlgj/r5dt73mTKfRa/MenuoN0yXO1wnA+LtiVcO5FsPGxAc1330xe8y3rw4DOBj6r262ECWuxAiNCwQfGjGm7VxejRMPMOn5jeum3n+KmO7VWa3OQbJjczXB6AxCl5eLZH/ldVAj0audcrlM83MNcc3IbAM8FzoHKqjvJUlMhIELvoIG0Ijz58FbEQguQzvga9+EENoQvcpndTDrlDeGxgiffQxF40ueeOnfaCzCFFmu0mxh87Lu8DoIlUXkGKPXddBm4JuOITdPTbs4xqH8JZQSq31Hnpo0htBJxZEMO3m1DIZWAOyd8g+fBGz+rbNr315QIV4BRwWoWqgD5ZQ8gPMOQ3EWKdLvsd8ApY8iMMz0WQRWw5qchbtncnrK2vdb3F1dAsoOEaUVLOi1RYIsFd9C47RLuZZrTLsX4esNP49DCk6VGStd2QIn7WCgx5JAKbNpWvJhkot2immzRGlsnO7Ke2tIelnjUitkbnRoqGsMmOLzMxO4CgRTIGUb3FumIwQxyhevQ4USZjZxBylS5ZISd1NhWNiBWmqDdZESu4HvycFfbTxbu5S4y/P8i5axq9XSs0NIfI9DAXUhEWhvKMM0zYs5lRZhhmeFdME+Qhf8AuTteQvQbiShO5L/xQg9lqCU69Legdhj2Hbr8XXf2wviqIxGBs793vkzhfh6yF/FYSRoL3HB3cjE/3buGyvUhHLyzNCPqGb26tqx+6+iXZRT9Ddyvp2mSTQuc11lqnWHmjhFSmeGHfL6nox1H+8CnsMkzPZAh89zUyQ3NE4lV6/9bPeLFrHF1Zpd9MEVtcITCZo1XvonROYf6yS+7gZdYWr0C5ih5YIThXITtylNRkiEx5na7yEkOFLG8lXiJfimNc1aieGWQy/TajQz/iXP4Fen/vPeL5LqLRTiQH2S20E+Fqp1j6MGhLwvUwjSUftWnGwwSmRyFFfJggr4YU1JDCvv/LIOXfbTD7362hJTTUoG/R7uTk7c6Dd2LbsVDDT1yYbJErbo7ONUBIvAbE9odw6x7pl1Tq10z0tEpjpoUWV1CDoHcKcCXNrI08U0WLaHhNie26u1J7dStCgwaNORM1pOBujat2eh094Tc3VuRdXKpEAMnTn6LJL3FnZuxeCAfPI6SCFJN3/VyYH/n7DBxGar0I6zxS7QRta+rSXQURRzhzSH0SIS+BvIpgnjp/TJiLKNi3SQi3M1ESn1/bwPXt3wtIumHCwkNzV+ltnGKUjwiTIezO4VFF0LjN3fBOSPzHpgls6FAMwPuJ7Z17KEoKTRsnIXePbEF7SQofxKWwXc7pScajjk+PWo74qNwNH0pSqAroNtjzTw0i/2SJ7BvvMvnRBGvZCD8xUygNl/jiAPv//W+w9g/+jI16kJd+9F2Uw9dwgzrh/VX6qwHifQWmK/tZ0nL0KlcwiPFj3aTDa6A7CVzDRsGgW2qEOczLwuGSuMIhawA36DBlOOiKpK8+xpzSQ73+Cw7VCniRCqpi4eFRoUKanZsY3Qm5J4Q4UUV+I/HQ28plBUKF6D36Tx18+pPvj6y6KBUXeR/vlXBgBuHoSO3QXT+fviho1uHwc5KRPZJLpwSpDnmjbsxxoFEXNBtbBHC2Re2SyfsdRa6+vYgQV1h++jqBpa/SjB/i2PCv2Oz5iF/88HeQ3/5L4vkOUkKSGILelTTxlMK/1H+f37TK7CsEOT/3HHs6zzKc0TD3XSX81FWer/+a85OdVMe7aSwcZJRNnt33c0IfSGqkOTv3DLliH6mXpll2RhkOX+SFwZ/h9sLX9szz/qW/zeSrKlLd/6nX50HQTlmjL00znnA8jj4nD+sC9VlKL3a63q7Y7gpBsFun5/spBv9RB81Fi9aaycqf5mlcsX0ucOelU/zf6RmBZ0u/D2GNm6Nyia9O2zLBUGKC5opFeDiAHteIHVEovFWhMW/RmDFxyx6JgxEaCy2EJlAcBTWsEOjREZqgdq1FdDJ4Vzv3naC1/GDP3idBleMoDKFwD939xwwkPATnkbIDlH58l5H7xTb1ucenasctmSsF7EWEu4ncJlxqHzgLSG27Sec20QsT3O42fcuebjsN/MdA4vPrMPCcHeC6hJBdxbADONYlPD1KiDoKTZQtp8M7t7Ut1nKBogqOAhUV3u2CqgoJG9JuEqlGiYohhnj5Pq/P/ePzGNC+xO5gJy66j8M0Y6fr7nQi8bG4FAKhYATl2DhuppuOksteo8DIP+tk6A8PUvvmCXr+x9/kmAwSf+oaqXePMRfoRPnrOMY//SuCWoKhYgq17y0qus4QFfpdm4QXJK7Z/KkL5YDGUaVJh5cnQoZnvAPMVjZZtxdJ9lbJXgsT2xdjfGiFtKoxUDDpCk7QafSwSYIiRXR0YveKAQ8IcbkJ4d35ex+alHT0QPweLQzv9gqcvSwIhCT9IyB0gUzf31Bz2/zoXkikJMFb1PCFDciv+XVbQvj9wWJxecMpUbgSQ0j2Xe7mpRNx/mIiysxvTNMV7WbFUDgdaDKsmQT/yf/E+swgy//97/PC6GmSssBfvP87XM5v0Pj2CLORD8gfWqd1NclwNEv/4QVWTJ2vBX5JPj7GWGmRXyweQncifCP2H5heGqAvUaO+2EXkI4daV5jNkwc5cuBdvvbMh1gXOoEYm/kY/VKS3/wtBvbs7vu5nbJGX5T41LaEayd9Th5HQNvpTGC72MJvI9hn0Pc7/gxd8aM6oUEDLaQy889XsWbu2L4ADDA6VVzbRejgVuGGDk3B14VVQO8H2wItpdJatjDXbBRd0FgyMdcs6jNNpPCwCg7mpt97w4jrpF6JED8UJjhoYK47tJZNlIBCZBekhdvn69m7k7IXBBHcW0bxcbgIeRkAKX8XKV64r7WklDTNI0gGEPIUkv6POx7qt3R0ViLIwD6Ed8vAUQjQR7Y2WAO5BGIM5PvoeEi826SEt37vsW1z4UsKHcBBZb+ZoYrDRKNOv6UTd5sIVSKo3+DpHgoCDweYDYCt+AnSlgdnM6A4EJRQUyAgwdIiTLjHqSgx9snfo1c+fV/X6EHQThmudgq+nwe0Sx+una77MHbyjyM+pUmT7noeukCcqfO9ciez3xFsXN2g50dTCDdFUekmM5YjGGoyXFEY0ltkV3v5aTjMQGiFb4lN3nVUuuwg+UiFlmIz4mYwUehyellUF5mTIY4vRGnNLJIva8x0f4g0DLy1EKXBNwhHejCLcY51fJW66CCuDCCoscYaNWoc4chDnyuAHAsgcs5DuRVuQ9PuTbbuhdnLIIUgEJR0PB0F5/7uYcOawlOPcukjQbpL0jt0++e39vcSAiYOSCpFcddlHAcWWpuMfnMV60PJuUOXadY9Olb3kIpqHHMusn+tQKma5PCpQ1zCYTWSJ5VoMjl2kQ/KafrGchyxAoTdEhOJ69RedCmpKsv2IK+k/gMdVplwaYaT515ieCNLwewhFVxBWUiwJCb4au97pF4qoyTe4+L4XvaW1pjTR1l8epJht4fj/cs8f3CAnrHdcVG+Fe0Un+6HcLW7YQa0MeF61LbwDyPxg893Y8k7oWiStb8qEehR0eMalm77OrIgNzJbWlygJhSs666f7jCAOv7kVogbOjE7B2gKgYxG+sUYVsHBWreRjodnCjJfj1F6rwGihZ72zSw86VE5Y+LVykRGgsQPhbHLATx7Z/f+bgj239uY4jOH0PH4OoINQHugoOo/Dw2QNojGzQ+kA3Ie6PUdCMXWNKLaAd4COGug9dy+La4hqCHlAjUsglt2HdsywjtlgC6Qx3cmXAeKAprCZMQK8nRjmYgbJ+NUURT/uJytL1NAXfEo6LAWBFeBmgYNFXIGOCqEXf8UPAVsEeQ5+V+SUfZgyBjDvHrf1+dB0E4k5osyg/ikYKfx6VG76O503W1pz6OQFO40Zt8LMqmg/Ls8sUyYha4I3nyFfhuE3snSz77DgcwygWOSq80kwvoZCg7FcowkLsOuyRUlxoKm041Dl22iKQpl4fBt+W3WidLZtDDXkpw38oxvfJ1wq8jJY2cY7zY5vx7n5LDAXcmyt2QSPvgOXeGv00cfNVG77/LnT0Xa7z32uPDcNyRrS8InakKA/ukxavu58Dyo1yAUvRlBPA/WlyASByPIjSxX9wDkNyC7+HE7+oVrgkxnlfXlGsqVHmalztzeRc5PRBhenuJ3TjS4sldy4KMxLp48jD20xtP/m3/BdKSHI+sd7DuYZakviJc+h+01OWt+l0ZURVUWOcoZyrUBRs9UyV6aZG9ig1+GOhkeP4MXUhjsyaNVajibAYJ7ixxXBAM1jUDL4he/eolj/+lefrfDBfEM0vjOLl75m2g3Bcb9HGu7k662JlyPWlK4UwK00xnER9H3a7cJl5SS3C8qqAaoAZVAh47V6dd0IbbaStkgwgKn4KIlfaMLPa1iWS7S8j/H3tqgC3iS1qKFuWETPxCm6kJ4JIiR8TA3bVo5C7fhIEIqWkJDUQQIDytn33AojE3tpiH4EwDRhaTrgVYJBq5h6EEQv4EUtzhjyUUU+Rr+6yCBlGkkL21JC1X/93fawG/Zxnv0gPIyNe/PCLL6MSv4W0nXls8ieXyHwrDUiHshXGeRhGkSw8TFY7vUTuAnOgsarIRgJQwBC4phMFxQJUgFNBc6m1AOqGScDMPKbzMpvs+y8j4RenZvEHMH2i2gPYik+Us8HB615P1xOvB+lvtSFAXbtj99wQc5hl+VkQLqtkqoy6PVNU6uruLYOiO2RSQX5R0rRFIpEGm9RFS8y7eVJssiTEFajAer5DApeTrX1AY2YX5g5kG5zB71eQgLrJEge2dHibo20ytB3Gmdwr4h+n/zXeJSsCgFmrbGS8XvQRhGGf3M3lPw6I0TYgmIJR7shFbmDHJrEY4dg2dfvbluuQBv/o1CKQ9D45LuAUh3Srr6t7icDnd7tY3XK6wvjtDznf1U//sN3h+8xpVXzjCw8C1Gy5eY0JpYThmzTyWpWhQXJ1AuHGLiK1c50dvNekBBLD6F0vsaajiEGSoSrVocjX7AfuUyih7jp5Xvk7MHSCoLHFy+xtqwJFCSVHMx6moHnU+/gTUd5nrzCAOdJYp6L53PfI2/lU4hOI3c1UYlt6OdJgTb6VgfBm1NuB5lH65HHdAeps/Jo2x8fCfcmkfqhSjmpkN0PEh1uknpgwayDDfSHzEQriA0ptGYt1GERJoQHg5glx2s9Ts03Ao0l2yW/ucNxv73fZgbNlpcw6nYOGUH2fBQgyqKrmBtOiiqQFENwscChMd3R0L4KCGRNJklxAjiYSwQZQHEzUJsKQXyrtsLIelDEgYmEaIIgGi9C2onMnCXYl7pIrgEHEd4f4zBJi43fVDu7LsFfpPjZWDAgW6pEHCD0AyjOhZhQMPzTTWkQgPJcljSVCDsQVWHsgr9AnqaEPL8Wq2cB8dLPvmKiT6UyO8wwQ+gdZpuNUpQ20XL5TsvQZtJNjStbV/3bYdgMEitVnugdR5W8v44DKHaRVJ4G8aDkFLpmIgS/sMiV17vxthsgWazLA3WkwatbIP18XHUTY3w+afoPfCnUBnB69kgZOUYECp/EwixZicYcOoIYfIv3ev8Ds8zkTUJOJKejMt6MYe1YdG6OoTsbtIRv0J8U0cdFTjRMazUyCc08dhd7OZ1XF2AdBe31VM9KCpFiCZge5ytKBLlLuEpEIJUhyTdKZk8BMWcIN0N594XhKMwdeTu56VcadDTY5BdmGEjI4hGHA6f/T0GcxGsVxZoDl/CXe7H69kgN7xMZLUf17BpLfcRa7oku0pMHjhBrFniopYkqOQ4ELpKT6vAiFPkD0Jf49pABk1G0FMtEoEZyE5xovki6XWV6ohJoRHiR2d/n0a0g3jG49gLZX4/nOHNn04wMCyYOvLZkYx2i09fEq4nGI+jKPlx2e4+qJ38I2sseRdoMZXE8QgL/2KDzV+UqU+38LZ5sQ1KF4RGA5iLFm5ZokZVVAP0iIZrgVVwbzoigC9BVMCuOgR6Yyi632ixebWJYvg5FKGB53jIsoddkuhJQcerCbq+E2+bF86taLGIRoqGmCUi7+4m+KmQsyAVBAXkVv+pljmBUO4SIUUnUvzGzVXp9zNYSgqp3N3lSvArJA6CP0ewQIIFlFvo1Z0ZLhe/e1bOhWvAHgsSzRbpVg1F+svkBVQ1iONxOgXnkhBxoL8Fm7ovF1w3IOZAXYGCDiEX5iMw1AyRZIgITxGq1JHWAmmrh0D5NHRayMwUuDaoOlgNUFRE/groYWR6Z9e4nWblHiSgtePfzJOGYDDYNn24HlW98E7W+SwIl3whjvI/rRF5O0trySPZaOECQcflek+co71NBuoG55clXZU0kVKJ/DNpml6Ua41ljio2ZxWVgpNgSEq+6RjkjE1qaqc/oFIEzDapBgyyrQxabhMlUic0MYfQ1qiPOxwV3yMcPYquPEZp+g5hmf5XdlEwOrWze9OoweqiQNdhfL+/jZ4hi3Cy8bFlgyH4yndvsX/v879PdkgC95hPnbNnsZJLjM/FONP/51w9ZhFwdUpRB7OjwN9bX6IiY9jzI6RVi87RWUYnzvJfN6aod6X4muzmxa73GSr8GGdW0nxK8mfKd9C9Za55R0kqWfbwbwlk0qSvfR3twBzDRom1azMo41XE3iBjqXnWzCk6pgoslHuJtQSDmXUuL+9j1lVYnd/L5YMqwxKOatIvOlNVbMBCEL06C46LPLiz+NRuCowvXQqfYDzqGq7H2VjyQQZ1T0JA00IqdtGlcqFJK2vedB7UwCtCwzERQH3TQnEE+phBdF8YAtCca+HcmhdRgYRE79SI7Q8R6NaJ1F0acw2qlyycmosWVtE7NMxVG6FDfDJCoFfHKUvchp8tU8OfvZxqt65jkCFazBOWd++7dX8YRIhrSG5v9qtrKwiv5EsZRBeITv8D2cDXem4RLCGQxr5P2L6JwumtjJmFxsI9GxF7gPQg4kGXAzQg4HiEHZWQKxBI8qrC5bhHUAo0W1I2fIKle36dVkMFQ0LU9Q0zijpIDWwSBK0ofcVnaHU+QyLXoHO5ileuodgXkIEkyrk/wBv4ClhFlNxVZHocwh1QnEUOv4pobIAaQnYdBPX+B0Cfx4D2JXYHO5UUtosCA3Y+kfi44xOGgmxK5i5IGgsulivYVHUIClTHolJxqKuColvnlfUCtXCMS32TWEaQpHqSvBsmqVQ4INY47ITYkHHKpJjQNhiUHrI/gLdmE327jNZZ4NzXVpm4Ikk7i1yvj1BNaih6mi7PQggHaIK4S0uQJxRGwCdBme6d35dQxN/ONnnaRqWgc/mMACnJdN00wLBtqJUhdYtgYegTwmNWX6G195dUBmKsRG3iS1lGq2N88NWL9HZMU91ocOrKFJGZUcQ/+v9xcD1BXgSxJlb47ZBJQl0iPDlN8l+oeAGLqc4V/o/ef8svige42HmAN3peYH/9T+h7J8FIdprY4DrXUjoymSByXqPeUabqpOkISUb3tkhHbJ6NVhmb7me6+i57whapisXq+92cKZ3n4uQY+y5fYcW8QK1nDxuB32Hi3DR7RusMqC2mJ236tZEHah3weZ0QbGe0LeF61DOIj8sF6rMOaA9zTe4G6UpqV1vEj4VZ/vNNHNO9+ZRZgAHSAj2jkHwuwuYvqjg1393OzjrEDoYovnnLLJcD9Ngoni89cBsuTsUj2BugftWkudyite6gqCpSs5E1aCyZZH9YYOT3u2ksWCD9Hl6fFXZ70C0QhBilyQIKQQJ0f/pKH9uIjuTAbb+SUuJ5QRA6QlYBF0knyCUU+VdIRpDi+5++bVkFDCQBPC7iksXYosl3GmVI/FuouuA6EGrApGmg2hZNVWIrkqYqWAsK1sJQ1CTdJujSz16FXIi4kJDQaUPcgsUAlKVKeiPBM2sv01mGSHmelqjjpYaQah/Ktb9GIJB7fw9pVREzP4H6GjQLCAFSuojiDKalU+r5+ySNywTWTiLjg3ij30bcx8u/nSQb7RR8Pw941C6F7ZLhely28Ldt81oTeTCE/sc1YqbFFS1OItQi5VqstAJsDKis9gb53mSJ0/MVSDfovnyEN4/+lIT4KlPil0jL4FtATWi8rqaI6yF+IEeYY46Jeh+eqlDXdNbUIteGf03ankSEFCYuR1haGGPaVEl/2wFvFiEdpHbgU4/7SULPIOSy4Lm+ccWDQoi7N0o2Ah6aBqW8QOI3Mi5swGt/ppDplXzzB/LTPaIsj+dy3dgffZWTxUushhU6W5P8869mSESD/KB2jumVXlLlCMXv/5j/T0jyatzhgOvy3dP7eGHf6/Qsr2ItKhC0EXWFrNTovNygq3IaN56ngyDddj9NkeFcfBKv0Ul+fpIVa4J0zwpdXdPM7k2xd7mD6LUUm2vrnBxzaMU7UZSz/DA9R1fR5R8uTqGurPLr9AVW6tcZPG0jD4dRxjzs2WlWQhrlQ1N4V6b5N4ffZFgO8135XYIEER+b2rwd7RSfviRcTzgMw/hcu0DtRmPJx+FSWJtuoWcU8m9UUXUFL6jg5rybqQ8PsMHKeeR+WQULzBWbwrs13JYLCEQnyNzWBiVw3sDsdSieqpN+OU6wX0eLKzSXTVobJnaphVV1kQV/ec9yiU6GCA0bGJm2fcSxxCYSC5sCYTmOsgtqf092IMU4UIStgl1BCZ8N310+CIBsAQYIBcFlIIxgHoVFPOq3LXqbUYbrZ6akgG4JLQkV28LRoKQ7LBjgCEnMcRmqQy0OqyHotCBpQsbyHxlH9Wu4nKaOWveYrMcZXpQMbFxAi+1BNHWCzgaisI6MDYIRBauGmPsZ4EFlZaseTiKtGk69QqOosFmMoxZPUBg5Qk/gNKK6wspKmlAqSWY4BOFuaBUgertDI9xOYhwbGlWI717v0l3FF8V290lBMBh8pJL3x2Wa0XY1XGUH6XpsnrCwhIIT02nkoWIH6DZMBmWTs7UYJ+IxflLo4lDHOuWXTzC2NMzVw02iocuMbO7h1co5ilqAq51FNGWNknuIVWuOMeMwzkSImVaY6X0Sa2aIvRsxPG2a1d6PmO3RGL36NFGjn4ASQyqdIJu7d36PEIUNgWVBvQqdfZLYJ4SP+4GUknBMMnlQ0qz7zoQAlZJA1UBT723Ia9vc6MMlzjXQzB5a79R5drWH9YMlfnLsPbzmN0m0ihjdLvv6VpGLA2xmSrwgJINVwaKTZLAxT6RYwVh2sdOS+W+EKP1NP26hwcyRNNppybeDp7GsSdZEH2/2HCBsNehsSoKtMt/W/4Z8XCHakSdxocmHWg73ux6tSjfOxQwzzgqtyQ0uj+l87VdV3o9cZPpYgNpGAF0Pspleo9g/TyT5GrmJfi51djB2rkDvy+PgLfCW8hZlUaZX9nJIHiJJkiJF+un/2DW5NT55eGyySdcDGm09KrSTWuRh0Laj0VAoRKVSeaB1vsxwPfzynwan4rDxsxqhYY1gj4674KGmPNwKfm2Wg++s4OEbabi+is3ctPE8UDQIdug0c7c4U0mBXXAJDRk0Zkyie4M4FZfoVIjGvEmo18asNv1RfhiCfUHCEwFK79UI/qZOaGj3jDPMdRun5hIZf5C+WTtDVO7DJIsrGtgUCPDxQf+OIW42VpHiEJIehJwFOQOMIri01afLX07I90HEkPIAyGUghySEQMWgdoNgfUxSqIIwoWL60sCwB7YK82GFmbCHq0DTgLDtfxazt25jCwoGLAVAsyBqgV3R6JoJkamlUEKddGy20Mwa0rmO1MLI+AjU1xBWBdl9FLn6IcKuQ20d1ABS1bHdNPZmFbfVwG3UScuf4jZimLkTNPvCaN1jtJbOktfGaW4YhHmPvDnJxDdiiEAEgGoRmtXbJzQKWfAkRJM3i8CfJHxRZhCfFDwuyftOZrUfpsfkw7gU3s+6ux2fxKKJ+FUZvcfgek8KZ8Ek1uHgNMFpQFBz6QhY1GNBRudaDBT3MJDMEtQNRtaqVGNRgst9GBtQj1eoZeroogRs4IkuVsQKB9Qk0bhk33GPnrzHlcI+Yup13lB09r25l1TUxvjWMq9pFlUZ5rg4vmvnVy3B5rpgeFJ+5u+hsX2S/DqUi4JKgYcmXLciFLn5/cgeyeC45OSbgtnLgrF9kvlrgmjcb8gMcOmk/8wffk4yV9TxWpdwn5vhqvEeP5t4G/n+YX7v11W+duwqRSvN+uoQa8UBzF+m6U6v0bdeZT6k0cileaavwfTIECsv1TAvaIw1coRzKht9nfS94JAOr7O4GaFR1/je2M9JXg5xYfMpMi+cIjzvsro5ghiUjJyu0dEY4ty65Ge/XSGhhxg9F6b3x8v8dncfrx8LsZxu0v/BAjMv99PZ6mBkukzqoxhKX541+RGibhML1/lla4TxJZWIDQsHPqLTGeNN5X0M0cWzbopp9TATwi8BqFEjTx7VU2+8C1ZZJUyYIkVSPGBTtUeAL4oCo20J104yXO1omtFuM4iBDoP4vhBm0UE6Eq/loidU3NpN50ElBcIBt4zvOK751vBGVMFpeTQXbN/R0MIfvSclmVciBDp0qpebtNYsMi/HsGsu1csNHMclOmJQlxbSBbfpYK1bJI5F0HcpwyVdiVAFdtnFLjtEHqa86j6hEibMuD+I+hT5wP3gk+9zDISBb9xeB9nYsq2dBDEIogdJHMF1oI7Cr4AasIm8RUR4p6QQfIf/hg1ruk5UcSgnJFJ4hAJQcsFSwNNBtSHoQtD2jTH6q5ANBWnIGB2zRQY2gowsJfA6hjHcMUSyBsyBayIaOYTTgNgAUtUQmxdBejiuiqJnoJ7FklEkNhWnF7NUQbMVmk4fVhM64tcQpSgLqxlK9QCqeY3s2gHmqy+wt+s9rnoQ33+UvjEwG9CsCVzt5qxcotPPcD2pMeN+ZxC/CLOMjwIP04drp6QJdiYjetS28I+1bUlGh30hUiWHeERCq8VcZ5CAaWJcdzGCCqRV/k59E89r0q+3+MspSSG4xGaki4NnQtRmh7kykuf6pMmCiNHv6QzKIcYUk6tcZUks8fzo8/QXwryZ3SC53IUyFeLY0nXUwAZiwqYShijHGWAHery7wHV9a/RKEZoNMJu3kxbY/Qy2bvjSwu6B+5D5PSQUBWJJiMT8cyhswPqyoFGXDI1Dpss/htwquEWX9+xlNuNLvDX0EY2Ayzenp4hNnSZrhSmv91A9t5f0icO89c0LHOiaxyHOcjrKc3tqBD80KLysMffH40yNX2ToK0ssR3X2GFUWahP01NIs/PogC0c7eMHRWEn3sZKBd3pdkptTTOkJqpEUXv8RRs6tw6UVupcXiMo57O4Bav2d/PBAFq9YI5vppmfwAFNnz3Lq2RYT4QiTFQdtZhWn+yrBQpRrZjdnSuscO1mhMN5D/8IK580P6egZ5Dm9k/k1l0hsHlIKKOPURR1769/2u6CHHjbYoJfez/ZG7RCe56Hrj69v3KNC2xKudnKBepRFyY9bIx8eDRAeDWDXbGpXmjSXLFpZB7bLGTSgBW4TlDAEB3Wsoouse9g1D7nd7XbbQl4CKYfS+w2MUACn6mIkVRLHIsT2hEgeiZL/sErtegPpgpBQu2aROOpgFTwa8ybxA+GHOqfGrIlddQiPBonuCT5y6dVukK0b2xICj3U8sY4qpxBsZf9EEMmxG8tJnkLI9xCsIRlEiik/JSnfBxaRDAHLKDi3rPNxS/gWsC6hU4GIEmKuQ6Fsl7A0SLmA4tdlVXTobMFI3W+KrLng1SJMzOsExCjpfB+ZbNmvrdpcgWQA3BayYwr0GKy8gxQKwrGoagcRSploYB6r1KRQjIEZIWJsouLSFB1k15JkjDKGVsJzwyAFsrhMsOGRcUOowRAVU6HPK2GtZjHLJU5dOsY/+D9IOuLLdCpZrpYjNwa6gZD/9aTiS5fCR4udxifYOWmCnWUyH7Ut/IO66O5q4+M+A9lnID1J30qR6nVI5Rr0FEyiSDYbGofyZabVCLlGkPdfsrnW10E5b7NncZHkcoqrhy9T2lcm4CUZY5OfOkf5z9RrzHlxVvPdpKsxysNlkqkEXc9EMeIzlFoWiXNJ7FdXqB99k6Z8EVt2MsvsQ8u8cqtQKQsiUUn/KPTJjxOgz/Jverc2vf0M1iqwtiTo7JUk0jf3se/YzWf0yAuSSycFm1nB0LhkYAywPcTPS5yrF0jtg4mrAf6iM8DU2f0kVYg/c5762y/QcCWrk9N80zUxkxs4i/24+2Z5OZVjX32NfMnEqJbJRJJ0WFBOdjNc2+BPZw+zZDzP1bLJ0P7LdDllZnBZ21um/70k5jtBKuEQ845NXS3S7y6w+hujHNlI0FyeIdJUUXINrOgBWj19dDYW+NZrTXKBDOeP9FIM5bi6RzJe3+TMAIQ+6KFjrsnqaIa+qx5zRUn3iSus9/cQyFjkxDxnhuq4qxWCndOMRhwSgf8dqlCpiRoBAjfuu4ZGH327c6M+A3xR4lPbEq6HmUHcCR42O/YobXcfa0DbQn3WpPhBDal4t6c9gn6hLRp4FlgbDk5FQhDfO7wBRPGzWzb4fEDBqblYVZfh/0WHnw1La+R+XqZ0oYG57uBtyROl6++juWChKHX0qPLQhEvPqHi2hxb1Xwj3+oNvlxoYSROJhcS6SbjuhFC3CNhNd0fBPIIrCFaRHEBwDVCQuFufA1v1WgB40JBgKNDwIEqLmhdhLQCKhIgJac/vqdVfgYUodNUMepcNBs6GyPcAgQT9jQxGrUS9K4PQAoRzWchfQAZSyKFXUTbOgBICt0m1leBq+RgtK8VA6E2SjV9heCZVN4m0IKQViToXMcQeQmqDotkLnot0HBSjRcpYxBM6irBRHImlCFSnQqncSWKfZO5Mkw77DJ6I4AYN6pdX2CgVST/7FbQneILuiyLZeFKwk/j0MKRppzW/2+t+UTJcNzDXQr3WIN9Q6WtZRBWTAjqdQROrbtCsqSxGDGY7ZilGsohWjAPvHmFt9H28Pe9Slof4XbfKJmlGpaAoBCgL/MfWf0nFLdLFMI2TDeonTP56IktkfYVOD7qW4qx++D0azzvkvbdBHeN5+fxDnUo8DbUqt5GTdoUQAqvl12SZn1Dapqqw95jEubVMctFkzcxSSXxItGeYDrfM784MoM0eZizaJBOt0Xz5dVprfSTOHea9JAxd7sKaKpOMNJlOZjlzbIgXmtOM7FtCrwRpNnq4kOim4ir83cVf8icHhpC4LLZOMl4f5ti7TX70LCQbXQTz+9k48CLCPMFsdY63R+b5j4pHyIpL2MkDvH2wwZ7CYfrLaV44O8J8zz6Wk39AZuEEX/uwj+t9KQ6cb1L1aqwOrfJ8cz+27hIvt8hkHXKhOrI8zDNvKeSDBmIoxsK3TJzYAaRZZSN3jAuxWdbYRHMMes0o7yevMssc3+QbdNL5Wd++HeOLInlva8K1E9vddspwtWVR8hYaM1uDDVsB4fnjdhdfhZba+lVCoMUFTksiXPzsloGf4fK4OdZXIdAfIJBScVq+NMpzJM1VC9UQaEEFt0tgb0ikBYoOdtnFXHNwHQ/PkSjazqOQntDQE237p3ID2zPnKiOocuRjn9viIqCgyy07eHE7UZUcxpcQTiL5Oir/Holyg09LfLK1XarnKiAVwIBKADTXYtKxiJmQ06EhfClhugBqy2C0niSes+m8bhMxDSKFFHY4g26WobaBHhjG2fN9pPkzRH0N0SwgrvwZRLqgtoywG+iKw6T5X7PY/AZOeZkKcToC14nqGzgSbDOAoTRJBjdxXOiNXqFY70PIFq4j0HUHhRYISUIuU7WH6cisEDL6qdt/QeFUJxuBfWghwZWlAP2JPItzYexu6L/dgf+JwhcloD0p2I5PD5KtulHgvsNY8TDrPsoargd10f0s4lPWNNhYEcQchyvdEY7MmwQVB91UqNQErqcRe0rQkMdR3beoHJrl4maS8Vwf1kwPK5PXuGxotBSdUGMf3eoFauoUH3Yvk/IOoEtJfKlJZ7mD2LX9tAJJRkb/gpmBTWYacZ6rRZnIJxhIeJTjJRIiueNzCQTZcT+sJwnb9zndBemuj5/P4rSgXr2Z6dJ1/+sGxkPkOm1kNMpR5QD/XeR/Jp88z/epoE1PUCqlyOQ17GSRcrBFTC3yQUylcfQt/tUEHNTKHO05g1RCRGyPrtkiqa4812IaGdOiuSdMK7lJeb1Ao5FB0RUmiz28/MsW740t0jy4n/2RDNHmUU7JefLaDP/V5N/wm6cHUbKrZCrX2Axt0nNaQda+irahYIsIjnqajvkSXrMLR+xn+PTbdG/0UOvbILMQIur2Ij9UmB/uIL2W5K1vvI8ZKNO7HuCjviCd18uEO/9T/m9WhG9dFBSqHXR0apw93Y+YXGVOk6ybUTr3P4q7uDN8UeJT244idzqD+LhMM75IjSUBMl+J4zU9pv9lFnMVcG/5sAgkQA0reFWJkCBNfLLlgpYAp4xPulzAFhgdCuaaRWO+RXQyBJ5Eiyl0vBynNmey/tc2Ur+ZaVENgRJ4NLN9u5ni/sytXJUiLioqQ3f50OPjFVi3QAik+AZ4ZQRvIZlC4OJwHgUHDz9B6SpgqtzQF7qA7UFIgw4JahViLlQUnVDJYWQhDUaSoDZKYn4Wfa2CkxnGcMoEWiYUF5E4GK0G+uWf+UYYiTFkM4eQEmnXIT2JtbaAXa/juFEC5lU0r8pKfYqimmQkfQrPU2mYEaJGHbOpMtY1Cyi4noKhtSjUewgFLBRRJ6g1kbJBSr0KtiTJR9TcbhwtTDRRoKQ+g91aZcHcx8BgL41zoBnQfbfL+gTgQRpLfomHx8NKCh8UOzVZ2t7vo5IUPm7J+zbigyrF/2UHpb/O0/nzKllNI2hDj2Ni2i5GxkVrQfeyxElKOs92I7Q1LrxwjiMiTIQs76gK416II/qv2S/HybqbLKkzdHAABcgezKOWYhxdOE7ux4Po/+gUseF5OishAkoLq9RPJdVeREnKzzamthoqi9OCoYmPXxcpbzoX3gsH40fZYx7FeqvGcO9Rui49xWL0AnufPoW1kMJcTzGaqHLqO79iI+jy4kKI157K4i3vY8/APH1Wmg+6XyZYbpE6UKY55xA8r7G3qeCEvks0f4l5WiQygySbBc7uGSRXnaXrSoPm1HXKSgcnRxuMFr5H0/0FNSvMxd4436hHODFyjf7LktVMH9OpEna9hdcnmenu5Wx/gG+/3c/5/U0OFGLYvZLWSoBgsUGyGEdtxJCKQ0Y0OdGqU1E0VnoGsC5Vefm1/ZSCV0jseZlsUOVAtUUycJAL5SLW2YM8WxrlehESARh8BLXnO8H91Bi3i4Lok9C2hOtx1HA96uxYuzaWbC5bmOs2yedjyP/Xqi8NvBUK6AkFI63jFB2kLlE8BWEoOHUHpy79dWx8ElaVlD9o0PXdFKG+IInDEZqLJlpUw2m5NJdaeE2PQFLFKrkIXeCaHq4lMdccSh/VST8ffahzchsu9VkTo0Mn2PPZaMdq11pYmzbJZ6MPlZH7JCj6Op6QqPLjzECXhz51fYmDK/4MR/wIRywB65g4SAmaB85dLo3l+slK1QPXglILXCXExIbC3ispFOMlRF2A1QQ7w0akh7RVRCgK0rURoTjSqiHjwwjPQVauIuKDyIEfIEvT2C2FaiMIpSyWCBGNlBBVm3wtQ6OuougOVT1M046yWR1hqnuTrsQsHr4gMhnaoFRN47g6ebeTdGAB1DphtUCzFafhxkCrU7I88loXl04cwgiCCGo4tkH/AGTnfX7ZPeQXsCNBfYLerl+UGcQnBTuJT0KIh1JDPIw08IskKSzmILcm6D+kkPszCFgOybpDVWgYeHQoFpd7FJSnBQdrFdZCPYzY09gZhQ+OlggErpJspPGsJAuhNQ5Ym6wrTZp8gy4RYp8qadBg3RDoEyViJ7Jc2PtrlvascxSdlQmFxKVx+q7tYWEjxqlvneYV+QoKO//7lBKunhUk0pLez2jSZ3UeqhVBR7cks4PWkPeD3GqAZAQs02+MfCuGJ+/vOfj5DxU2/lCyMPActjZLT/4rXJuMcTCT5YwbpGDbDK8lCO5fItoH/3kpghrLEqxFKWkBrNw8bkXFjOnk9RQ9C3uohmq01iwYjWN0TOC2FkhP1zCSBsOXTDbSLr1mP9f6Xc5Hp5mUgv/s5Df4aGKGuY4Vaokp9l/Sme5zWOnfoNRbpqcYYqM7gzSjvHhqhkrkCl+d6aIUSlCtddNZ3OTKeJoDF2J4msNi3CFPhUO/UgibE5x7usKcIRh812HYXecvI5dIy+d4M9dDzRZ06wqbi2H2dkKjBu/90idcUvptTPSH7zKza/iiSN6foCHBg2GnhKvdXKDaUlIoofheFdfy/KTJnYiCRCA9iIwFUSIKtekmzSUbLSmggL9egBuZMT2h4hY99ISKU3cx8w5qWFC52KQx18KREqXhIgV4tkRoAi2i+gSu6tzlIB4QQoD4bGf39JS65Yb42WxfSolnDaPKnWm5XRawxSls8R6mmAcx7zfa2np8HJWb9Xpb/5sOKCpoJrAJVATxKqRMwcB6H5obwxMBaBUBEHYVT+0FIw5mGca/B+tnEOtnYOMcRPoRVh3WT+OtX8cyBautYxTXm2SCIQKqiVBaBCgSMxpoVAlqVVTpEFSqdETm0FWTkGJTa6ZQFJOQ0SQaquO1DCJaBcsWhHSFQiNNuRVlvvg0ufogp1e/xfzKGNWSoGNIEolHyfQ5VApQWoeuLcOxjSWQHvSNPcTN2mV8UfqcPCnYiYsuPB4Vxk6JWrtOCEoJpTMm5YKDnHXINkLME+Z5p0Acl2w8RCYoMasSs7ufl+xeLk/MUh2eY3J+kK6SZGBzlLde9khZFm/oRYp0INUqf5sESEnEu8xop4Af9bBxdZ4jaFw/4WJ9JUPOUDgRcPgvOlqs7s1S4wgtWoR5uFpjRfls41Ms5Tsgxj9DV/G+0SbxpPwY2bofVEtw7gPBzIVNyp2rWBcdor/9JqkuhaphcnptlK5j50kPzJNOFVjWHTxVMKJYFNdjnN48REas0jOf5XT+MNNPSdgLT19RWO2ocmBOo++cRXe0wNtfrzA9VeEHDUEkOYhXvEZ47RS/e9VG6Ztnpv8oFy41GHmtxMrXLU4Mhki6L1GOzdMSDaami0SdFOtDGfadjiGbBonKCsX+Euf3TvB3/ihGsTeL5jWQnGRxuI7njHBqosmeMylSNUjmXOxKmB9PHCe1HiB/fZCfNDswNzUiIYdMPEgm7bFagMYajOz1iVe54BPa4cldv307xhdFgdG2hMswjB3VcMHDu0Cp6oONiB+1acaDauR32zQjNGigxVVKv65jFRzfECOELyUEsP06K8/0qM01cVseiqEgTbDXpf9UhoAt23g6JKExg0C3nz7xmh7S8R0I6xebtHI2sgKuABTwWuDUJMFunY5X4kTGHt4+Tg09vPnGpyHQqaPFVDxTogY/mxeLIIzyAMWzEokrriFklJb4DzSV/wHkAojW7Q23bi3kYut/BzQBZgECm2nii4MoaoPRs0XfqCIRBbOIkvsFpPchNQM58i1aq+vgTiMVBXIXkEL1GQwCYRVBSDy9E7NYplbXMStrzK5+jdhAlmCwRKUeZqm4l8nOEyRCkvPLL4PdYqTzGvHwJgKoNFK07Ci2l6RQV+mMrRANVqg0UlSbKQr1IX5+7u/RsFJsNkdZc56mWYN6UYCU2HVBYrJFJKFiW3D4Fb+1QaMKkTifqMx8HLjfGcR2D2hPCnbS+Bgej5Lii5bhSndBV8Kl/OsKRtNC01wuBWLkqwauEDiWSm/FpLpsUFmz8WzJwMHvcqKryVjrJ7SiDtPGGmElT6pSYERLoAcmKCtdKFLBbzLZwLuUItq6SKbWhMAV9LMllHgf38ovc/KVc1QnepiKd1Nh8qHJlhCw5/AnX6eHvY6xBITiEhO/leZuQ0qJpkH3gzjlS8nynCATdgifrFL9l3NY+2d5+4DC2O99SCyf59L+HM7lcX7j8Cm641Vq9TCheJFjZ8YYaSYoxBNccYe5WnuOw955PiiHyAcqDC+k+GAE3oy8QViGiHeNkU4f4aq+n1RxGr1YYEHvRjni8YbdyYszOsn5a3x9TrDwj9eY6SlTkqtkrvVzan8X+rDN/uszSHSO5/pZ1pY59FqTDobpmteo9lcQohNtZi8lQ2XvySOsB6epK5I9V6O89Y2T5LoNepL76Fhtoi4P0t86zFsTh1EyCSjX6VqbZy3QjRsOkdnfwOizcG2Xo2MqVtPPbMWSn2xI8jjwpUvhE45gMEir1fr0BW/B43KBetS28Lc2lvw0crlbAc2zPaoXWwS6NQLdOtGpEPWZrUG5B5S2Ftyq0zLXXcLDKq1FFwQEB4T/NFoQ6FaxNl3fcCEEtAT1RYtALEh0XxCn7GJXPFb+KA8hiE0EKb2/ta+Gvz+34RCZCmDlPTpefnJy59vX+l73pH69RX2+RXx/+FObK3uOpDFnYmRUlICCFrn3RIC5YeOVJffb81BiYYpf0BJ/CKIJsh9H/CHgNxvXW+Dq4Gk3Vtg6KED4phmOCnpFx1gdxbhWwWvkCRrHIXgZmkVoFpBCAyOFKF6HSA+i9SYBO4UXCCPUKLK65DtxJEYhEMMq52l4+1BaGxhejc3yPoqVDjrC8ywWJ3lu+CoNM0IssE6tHqXY6MFxNHpiG6iKg20rSEPSsGPUmmnioTxho4hpBzHdKOvVIZqtOP/stf+KzXI/INAiEtcCTQMjIEl2gVAl+SWd3FyAyhqsz8PkMWjVIRD2Z1sV1W+E/CTgS0nho8V2fHrQyb3HZc70OGzhH2V8AhDn6si4CiNBKj1h5F4L78M6FVQGGw0CQvBWqoO+ZAun7FHbk2d+8DyDKxPkO8ZYSo7y3IUw+4Ld/PNX3qKZb5AhxDNXNM4ePUePe4Sn2A+mQC7uZe3Kj9Hj0Psdj5mZMuvBDsKlGPFJQUc1STbax4IueFamd+X8PvHc7/MZ3L7U91p8TgquOjChSqbuI6M240FUQkSB6CcsW5CQV1TiD/C38u7PBVb+JJffNJg8qOBVf0ljNEBLCfHKwEWytk23iHJ8QeXtkSynZ4ZJ2HmqH77AN1/5Gc+5NqsX93H9lSoncgG+n7uMYR1hJlIGitibM/RHuyl1xGnlNqmWL5INN8AtM7wUphQb4Xy6zEzmLCOlIRY69mHFF7DjS1QSFwikTfSWSqGnxXd/FSZ7YBhRLWAbMf7tSzYT0w66tknnhSILATDscRr1AkPXKny032DsdDeReAo3EkNwjY41k+uDfdSUYU7G+inWbdLBEsPNAkshh8lgllShRio9w3RmFKVgoa60WBmt0HGhRmtoH41aiJ5eh2huFZQodH72z9794IsSn9qacLWLC9TjyHC5rovrurc1k7vzgb610PphzRqkA57l4VmSxrxJ6UyNwodVHFPelvkQMZANwAQr7yDCoASE36DY83/nudInW2Lrq6Xg5BzSX4nimZLadZPiO1X0bhVFKFQ3HIjgc4EtkqbFFdb/usTAP8gg1E8/L7fl0Vq2CI8GPra8lBKn4n6qU+H2vfIsj8a8hZFWMTpuXn+74pJ/p4KiCUL9AayyjbnuoGdUcCBxPAIKtLIOzaUSelpDERLXkWgRlVCfQerZGPWZFq7toOgqrTWb0mnbz47FFZSAIHEwQv7tCsH+AIEODbvs4tRd3Mr9P0tN8Yc0Km9B8uf+TRBVwAEBnvTt9xXuIFwS8KBVBt0TmGFBxY3SldtHo+syYnUTyotII4ZwbYRQwIgg7SaoYUR1GYwYQcdBdh1BpscRK29BI49Ug5jZBUr1BJW8iSICdIUVOqNLLOb2Y3phQOB4OpFQlZS3iO0ZWHaAkfQ5DKWJ66k4XgKloaIJj4qZoTu5hKra5EqjzGwcIlebQMGh3kyyncJTBSiGwGqAYkBpQ6IZoBoBwglJcQOiaViehlYDqmW/5cFnKb15UHxRAtqTgmDQnyyxbZtA4P71UY+rVvhRZ7hc18VxHDRNu/Fcbtew3brs9vK7YibUcBEhBblqsX++wvtnHFKlFmURodtu0dQEfSEL6gquBU7JovDqBhEMFtNR4vob5K04J2UTVRF0Fsc4cr2D9RcuMu6qTDnHQS3AfIriyRIdWoT5iMullIduj6C6FoVimGzpEKrt8aPwexwRh4gR+9RD9yTMSegVEL7LZShLSDzA5Zm/JojEJJ239MFtNeGDhqAZazEmAjQ3IPeBIPicpKXDsSiEbclmTZAPwPs5QSgNigVGA6bGNplQ0qzhUHNtgrZB1tZZq0p6u0G3QUjBMxHJSTlPSLiMy3GyEhwJZRTi93n89TNNrvwzjyXLI1F2ePNr/45qoR9vJMryt9/l93/e5KLoI3yowleil9j4g3/MtGNQ/rCf/tAmxWsHqcVmiQ9ssnLt2xyfuIz9uoFiVAnsWWK03CDbkyBs24Tnujnz0iE4cZa4uE64ukJH5Fnio8Nc9n6CQY69MymyreuUzSIbtXW09SAH39MpJ5u8dF1y7cgKYqNGrxdlNVkmPL9GaMNGE8/zr795ledeFxT1Fp1XB7GSH5JqJVg8nKNrI4omz+JqKZriKBPvHEBTYgSNApYjSWQ9ugN1sj2drCXDqBmLnmyZgGxR3KswaqzhlVxEqMHB9R/TyVdgtgmVBqST9//AfMb4okje25Zw7bQPF+zcyQl2TtYeZQ3XNtnaDqTbQevObQkhqNVqNwLgrbh1cHbnH8Ld/jDUkELqWd+YYuMXZcwNG3vTQYsIHEfekJhJx3cblzVA91C3Bu9O0UVoEk+Al/Nu2sNXAVcQfjpAsE9HDSqE+nRix8JITRAe0GjlLfQFsMOADlpQ0Fy2QSo0lm537LBLDlpCvXFNts/FXLMROrQ2bL+flyfRkirmqk3tapP6XAuhCGL7goRHg2hR/08n2KP72zKhcq6Jrvk1Y41lm9SxMI0Fk8ZKi/q0Se1aEyklzVkbNaggdAh0GdSWGjhFDy2hYsRUXMtDNgVaUlC7buI6HpG+AOHhAPVZk/W/KdJctwgPBlAQmBWL1qqNDEhoKoz+J52UTzZwLI+e30zhtSQdr8RAldjLHoz418KvF/v4vXTENczKJsR/Bl4NFL8Gzt1eVAErfDNxaQDSgjDg5hRaS3EqHS51o4EjPbrSBqGZEjKYhGILtCRSD4MegtIyBCLI4ZegWYD6Bmp+A+Y+olWuonYcR7YuUy5qOIUWZstFkzUMajSacTTNojM+x5n5V+lJLpEtDhMOlYgHKrQcyVj3BWayU4x0XydiVKi2EtiegcAlFqpwbfMprJbBqZmvM712hJw9RbkUuemqqQHSz2gZIQhEARccWxCIWni2Qf9BCMfAbMH5tyHRAZEEfEZ15Q+M7QHrl4Tr0WGbZLVarQciXA/b77FdbOFd1/3YhN+dxyKEoFqtAtyIT9ufP2h8ApDPbw3nP6hSrAgGFyrkQgG6LAfLVkhoFmHhoGkqm2WFwFovP/jhb7GZWuX8oXMYc33UBqYJrFZIzjSJhzIsTdYwZIMhDuIoHUilD5FxSEx2k//ZV+ntDlLXPsRodbAaqpLwLCKxIgl9idUNk0Qkgq6pN+TZtYrfQF3Xb3cELABCQlZCcnOrRWUa8oqfRcrOg3p9kz0TYVJ2hO5eSbMOPYP++i6CxVqLYGERPVqktaYQrvbidpWZcyzee62TwskIzd+sEu+8wPIbLfKFA6Rsi6ukSMeuU8s2uBiDWFAS7mwyPXcEb9+PKHfaRPK/xbuFNN/zllgSr/NGvUhk6WnGlo5zZvA6+ekqxEZxrSz/uLSPs31l5nvO83eSgyhoTKoKATyW9CB7pT/J5W79/zEsmASv1DkW+wWTlRaBhMOfiwhXhnqIOVG6oirJo1epXjlC158EqL+8wuGuVU78+u/SYxWwpjYJjy2wuBmi9/nzJOyneO/HzxFPn0FdL5OsxDk/rtNVGWBaucCRxXUOBQ9zbvgV9OppZiMr5Ctv0z8f4HDnJJ0r3QycbtIM/pS1VJrFzgo5VceVnRhVyf/9fyV46t0uDhVWCDQ76SpL7HiJpz8QTPdojPT0M/P1FY6/PUSTMvGNDt79eg47cYiDV6MoMxVUOcV0cIxxWWVDMWmNqYzlFiCgIo0kWmuY3PIIe9InYTWIZWvYR20S7xVJ7IkRCankwwO8kavS2Z2i3NvH/miAJyO/9cWRvH+hCNfDukA9ysC0vc+drLcdzHRdv+dDLKUkm82ytrbGU089dWM/t/5/p/ztztnHewW+9EtRzJyF0aFjl1y8kIvXxH/aPPymxkH8wb4ucTYkzZaNkVYJDWg0Lzv+MgH8pk6KxG25mGs+eRKaABsEEsUQhHoC1AItaLhQA6ck0XoEyadDIKC1ZlK52CS2L8zm6xWEgOTTUdZ/VsKp3bSSV4I+IbQbHuaqibnqYHSq4Elaqy4iKNl4DXr+Thpr3QFPEj0QorVq4f1liEvVJbSoih5XMbo17JxJbdpi7a+LOGW/F1nyhQiNZQtrwycxkTEDERQ0Vi3kgn8gCr79rZEReE2/h1hjvUUj22L9l0WcDUCH8rkmSgC8tVturA4X/umyH5E1yP5RCZGCzFMxmnvAWq+iX1snti9MY8kkOmkQ2xPBc8rYrSx6IogZ+iGusgii4Jti4HNfwU3JCQq4W42Nyw0VJR+mnovgLIXJv7pMMGwTyMXQ9ABF5T26Ww0SBR0hPKhdhsSw7zrYKiOl56eO9DB0TKGvT2Ng0iqEUQrnaFUsGpUMulJDOlEaVgIjWMcDQoEqo10XiYXKnJj5ASsze/nq5J+iSEHNjNKbXGSk6zqG0gIkqnDxkMysP8WmNUY2N8xrp/4OoNCdWKRcjvgES5NICdGEwDYF0pUEon7Pm3gGWjWwbAVFh5VrEIxAJCVQFcnQlC8ndB68hOczwfb77otgu/ukYDvD9SiddB+ldP1h9rdNngzD+MT4VCqVmJ6e5tChQx+LS7ce753Zr1tj9V2J2VMRYrbkbDyBqLUotgRKy2LRCZO0XZygx5vHOwhFKnyn1mJoIUR2OMZf/e1fMLm4l5b6M77/52kufaVBa3+WjlYMpM2Mus4RABVyOZVsJIwX0BHqfiIyy5HaOteev055zzUM6wBT7MUjQ8kWnFoU7I9I3p8VmDV48esWC5t55lY8ypEqpWqOHu2rbO6FVtnDWxF4pdP0zke4nJxEHlkl2VxiZe4E+0KvcqEywhWZ4Vj3Oj3Kr7lsWoi/cPj1xTDl0Q4OTFxlcCLL9eUgC/+uyofVdXpCa+y5VkfMq1SugfPV12kIlf0nX6EWm0fNV9i32kXr+GkkUV723mV6IUvMqRGZ1Qm908cpEWEqfpqjapTcR+8wIGdoXFvnV6kEAx0/pTCk8UfrMxQvj3DxKy9w+tRb9KorHNsvyTjDXEouc90x+YbYz8mmYDxY4bgWpWpJ1Osr6PuaxC+WUK4aaPF5RgaynMg/R2YxxeFFwexEkBeuN2h5KupCJ9feHMW+kCT59Q2OvfJXDPa9x9PPXWXj0n7Ce11KMoP60TRDwuRsoZt3/n4daS9yoDiB053CUIJ0nijw/OYsmf2Cj17pIvDBZWKrGrXaz6ktHKLqdTJf1yjrfWxEi4wvdPC1NzpJr8fx1BIvvAczY1lePtFkeLmbd2JDHD3Vy9nRKgcXF4i/FeCt72VY7LE5PCdIZDUa5t/nJ08fYSPkYZa+glnzmMiWePdANyu1ETKlMvnlYcJDHjJpEtOLqJ6g2uymud9kKrjCdRkkFm+yFDL4yYEpRMhgKJNiVIVeVWJvm1s9AfiiKDDalnDttCj5cbhAPSqi5nkemqaRy+XI5/MYhkEgELjta/t3pmly5coVjhw5Qjx+70T+nfu/r8CnQecPYuR+XaZ0vo5X4aY1vLvVDLcJtiJRdNDSArcpsTZdlAY364G2JYUqBHp0tLCG2/IwNx0UA4xOjcaCjZZSUUIKquniFvx9uCVJbdqkOWfRmGuixTQ2Xq+Qe62INCWhYZ3GdQvLclG2jk3v1DDiOiIgkBbU55tIR6KEBMIT2HUPJQLl/3MDRRdocQ35h9LXeMzpNA0TNaTguh5qVGHzl2UkAqfu+SxKgLVh+v7oErCgvmxhdCrIpj+bqW1l6YQJXgM8E6QmUR2BnlYxZ7ecHzWgAV6R27Ftpw8+SwJkFjb/2p8pRrUp/2SJ8JCGY3qEOgKkjkeIvnSdUK+Go55Fpj+E6BXUqF9ft/1OvqHvBxwTqq0AwhNotQDVC8NI18NKZiCQpSUstKCBrndR7dgk0qGiC0Gk4EEgjlA0ZDCJ8ExEdADZzIMeQBTnsNQUhmjQskxqVRUNSb0ZRmCQia1SqcextBAh3QYpCGgWUur0JubQtQYDmasIBIropNZMEgpW8aTGWrmPq9lncR3B5eUXWCwfYHF9DMsOAYKFzb0IQxJJCgzDl/FomiQch2YVAgEIR/0MVvegxLRrIKK4dQPbEXQPSoamBJ4LB1+ShB+uE8GuYftv9Iswg/ik4GEI106J75NumrFtOFWr1XjnnXc+Fp9u/VlKyaVLl5iYmKCz894mP3eSrVvj0raq486sGYD6bIjAXpvGVUmoYeEo4JmCWktFG/AYLlepxstcrWpER1wijSK1ngp/MHadY7NNus0aRqCJVeygGs7RRZqAGKIsy6RyATwFQn0a+XyBU9+7yoFzeV64UMGbDXLqtUmCAyZicpIlE/70os3UdIBTlk2lcY61ZIH6a1eozAQwc/1svvIabnETQ3+Lwc0eAhmN09kjiEvL2P0XKVuHOX5hGku5TjXewQ+bf8y+zQyh/n4+etMi7OTIzm+yeTXBUbVCzqkys7TJ+PqHROIeit3HmnqQvc4ltCtp3L4IRqrE4PoF1rt66Tp9jWg+i3ponY2uTaJdCl2pi3RfstijQU7YKDPv0HKfY2NdYerIZfLVl4kUkmBGkcMlvqv+B469l+bn5mES7y8wkXmDv/loijVF53DyPO+1MgTN6xjnUrwXeI83UwGys1VCw/PsO6Dz6rlJOkST0v8QJvmWzog1zWZzgD8/PM7PnxtifClJwdpD+vUsE4eynP/F90l+GKRxeI0NqTHWc46xTJFIX42EAvHeq+RrYyy9/030oQX2W6ewnOPIlTRTK00OiSbRQpCA1sn6ngxX3F5CBYXyZh2zM0JkJUrVG6dZyxOymqymanghUMUqx8++SC6eJ2hHGbrWQ8dGgItTJeqbJeacV+mJVjm+HiYoCnz4TJVGxiWkNUloGk3V5I0jdWRhhpF3EgQDi1QLhwkcMTkdSKFmDZR4B0pCkByuo4VUZGeQcOAtwlaYknWMYn8vHcEIw0aO6pEpsvvG2ejt5KAq6EEiBDynQfcTxG++JFxPOHZiCw9PrguUKK+CaiCjHQ+03jY8z8NxHHp7e+nr68NxHEzTxLIsTNPENE1qtRqWZdFsNmk2fZuaM2fO3Bbo7hUEt2cj7ynXuCPwqZpvce7ZwK3eJmHffMCp4xMDFWRI+o2PTfDyQNDPEHje1rotiVlw0JIKZtYm1K8THjYoflCjLltIxyN+KETljIdbd31SF4DWkoVVcanMNAl26DRXLNwy4EJzwUHvVFCFwHYkOOAsOVgBB2GAkdJxSr4UUuj+fVAMcHP+abi2xM7baGFw8kDKI9Sr05y3cTfA6/BQVPyBf9iv6cEDM+sgdAjt0TCXHLSkQBF+k2bP9ns4aYpA2hI1qKDHwalIHOlhzXuIlE98jKDAyks/C4h/7e4LLlCARsFnYxZNagtNtJ9FiR+vIcUw8e+raD0JwqEQWqLpS1sABLgVDXsjzeZPXqLw9kFC/8Uf0TIcvJ46stJBeF8EqfdhsUo9XiVaS+CFLTb3JUidGYR6E6+6jmhWURbfglYF03LwSlk8PYlXsShVk4gAbG6msG2XiFGiZYboTS0S0Cz6U3NIJAGtRUhvYHsa0WCeY0M/p2HGWC2OMZy5jofKanECRfGoNFJslIf48Zl/TCJYoNpKsVYeuXliW172muJnr7yQwGpKNB3iaegY8AlxqgO+/vf957PYylGcN3CqYQ6/IjGbgmBEMnoQQpH7vB+PANvvkC9CQHtSoCgKuq7vyEn3ScxwCbkBeEjR80DrbWM7PiWTSV555RUcx7ktNpmmSbPZpFwu02q1qNfrAFy9epW5ublPjU+BQOBT49OdPw+JJo5Xo+ZJVqXBWkBHT6sUUwaK6fF6qIt/FF4n32/w4+PjBGsG9f8/e/8ZZNmWX3div33s9TbdTW/L+1f1bPtGg3AEwQENQA6gEEczE6SCMaK+MERKDCGCiNAHBc2EBiSHFCVGcOBmSIDqhml0o81r8/wrX5mVld5nXu+P3/pwK6uyqrK8ea/welVkVJprzj1337P2+pv1p4FExRjQuXZCoNszjFd1vq9IzgQVtpVtUkOT5LoD+mfbLMd3OF1ymTpnUAqXCDZHEDfCFHuuoNQX6V0OcKr/gZXiq8SN7/D68hbudov3j6WYvNZDPiLpLy8zIPPElpeIR2MU148wthhhc6vGsLnIqXMzrPsKZRnQW1AYjDXpXcuz9bbG9fDnee3Q7zG61qLeXSMRbDKmLhDOKVSacbYVScsb5lD0CqFICftqimi5RvZXNvH+eJit5UMkY5LQoCAmfRLaIttjCZR5nRlnkuFomanNLawyzC54jAwWqK4fYKDRIuquUOndpieZ55xco+L0cfLddbJDayQqEb66eg0ruUSuUuX88HHMTJtDg9dpX3+Di6UZytcD1O1pLncf53JXni9/3WEzFOOVokFvbB2za5XN7FcYtB3CPYKDQx+xJbJs/fgs65dPMtZ3nkOvLtIvZuiPV4mMWHCwD+9qjva6S740RuLgAivv9+GHRqn1DNPdOkF1Z5GLRz5mtkcQv9TFeGmDXGWFUr9C4qNerk9NUI0VoNGgZgacffcgMqLwh7/6pwzPnOXqWIOxaZO+NYFp92A6O4Trku6KgRu+Tq1PpZUOISM2LTNCw++i7u5QGulhuLRJwY1QEILE8J/gbvSQHX+fndI5KhNlgoE8mQuCrbNxKpPb9FzvJSsE3YMKRtmnK7XO+M8co6sWw112mMlmSea6+T/pgqKAPhWOKND9KYur/cQW/lMO0zRxXfexbdo/CRcoRVHwvIfMgnJt7s7vPmoEcZfMdssIVVXFNE2i0Xt3fa7r8v777zM8PMzk5OQ9pGfbNpZlUa1Wb/3sup2UyV7xdXfmTNd1TNPEWwTVUNASKkpYRVEg2Ps5agMpOitPgIgI/LJEGKAPqHgNn6C4x4xBBxC0rlv4modrCZw1h/jhCNEpk/aGjZbUsLdcrJLf6fkC8EBPa3gNH68kaRSdzt9UOiJFAcUEoar4jkdwM7Pme0AJvJqLCINQwW8HaDEQuopQfHwb5M3Mkudws95OQYRAWp3HxoHQmIlqgrXlEoQkZtpAWgFGj9b5+0kd34VQT8fYAgFeLSA2HqK96SA9yP1XKfy2pPh2lfaGg2qqqKYgdjhC/psVAi9A6AJ3S3ae9/GMOwHwV8BHJz+bBiWOU/wSaqJC5ldCRE7PoKca+C6050Yp/ftfRCoBddsg/Es/xLlwCPfcNbSBCt5kGQcHjW4spQw0cAyLAA/LrNHOZQn7CaTrg5A4lo/rTyCrO6i6D+4c9WYG1ZPUmqDIGhHdJpdepj+9QNOK4HsmUgoUJcDyIkSp0raj+IGKGWoSMhpcXXkdPzAwNYtqq4uVwkF+/53/881XK9i52cSmm+AjCfybitKDwJeEo6Dq4LQF4bjk0DkQGtR2YHCyU1L42s/Ae+816O936e6BiRMw+5GkbxRSTzbm7LnhJ4Lrk4Fpmk/kpPtpDAgiHcC/g6IeJ8O1+/iqqqLrOoZhEInca4UeBAHnz58nHA5z4sQJXNe9h58cx6Fer9/xM3CLg+5b2WEYhNZA9QT+4Qgb4QhraoDi2CQMn76Yy3ijQXk1xI9DSaLdAhmJEm/Oc+xaF+b0/4ONn/5/cnT7G/QsOFiHi5gK1ENQ1K+geT+NruicD13iuHEcZczEcwaIbHVRnF9kYecQ2Rs9jHdV+MbqICdLBrnxOn03/n/0iXkqXRatvI8dipB2whz/3I+R7gWuVk9R9NcxUrOoqxoJZ57sTEB4yMCwVA5dXeOVlM3G1gEKEZ3oYJ3yTILVUpgvnPpT+loFQtkCXn2KsYVFUl03cLUQO8k3WGmcJDk+T29qm5XGEYxIiGOvXaW1aeN+6RgnP9qkdeYASTtJZELQcCzGagkudY8jyh7qaB+ODIjWFziibbHUHOG4cp6PYz9Lb/TbdCUvYUy0iL09yardTX7Ix4t1YYQt1u2T9EXzBIsBP/d+i+bpH4I/RVflOup0DSVZJzNt4y9c5vqp0/y4fZpGvMhET41r14ZRhssMF6+juYPom2FWMkf4lc3f5r3UEGf7vs3pv/VdAi1K1naJbUVRWhI/sDBFiNaHhxnv3aLRFnjjy0RLPn0XDpM8bVOUggtEmTmxzRtbKdyC4E+mthnevE7/4hu8unCcoY23uT6u8uVpnRNLRSqJDF/9L6cpZUp0rR1kdWAR01+iu9nE795BKq9hJZr0VD/knbRCKN3P4FCTr37UT3NL43eP9BM5tcp2eAJ3VRAaa9P0BKXUDumhEGFlAWc8wNV1IpktepIfsJarowZDnDECjJ5DLERrDMemiLcW+cLAYa5XtlB1wbmIzls6XPYhJWDoU0gDP8lwfcqxW7JhWda+wuJ++LRmuGTX2BM/314ye5D4DIKAS5cuEY1GOXDgAEIIwuEw4fCD51QFQXCPMNv9eZf42tdcnLoHmkSPahgTGva6SeAqHQfBXSHUBK8FZECPi05eQe8Im8iEgbXiYtW9jhNDk07aJ6cTm4hQ+9BCMSz8usStewSWpLVlUfzzBu0NuyPmbo5BoQHWho2R1rA9j8DmtlOiAXpKwSkF4AUIA4QJepdAGCr2hocwwUxoCAFKSKBlVPAF8WNhqu83aRsdh0w1pOC0AvAl8YNRFGzsDQehKMQnQwgTgkCQOBgmfiqCqguqH7UIjxqkz8bx6h5OwcMt+8QOhwj162gJjfaSTWTEwCn46FmNyf+hHyfvUJ+2MPs0hKqQPBymtmgRNAOaN9o0liz8Mp1s15PMeg6AQKP2p68BUPuTz6FlK3iVOJFzV2lHLZxWGOXaGJy+jhlSEWEPTTE6ZZKNMJZWAdeBiAOawMZFwaAZ88nLGwS1EaLNNMgGnuxmazVK1FNJp+ZRVQtTraMaFkKB9WISP4jieptoio2pOxQbGYJAw/dVAlQCX8H2wgRSwQ9UdM1HUSUfL/4Um+UxhJDYdqdkMJaStOqSQEo0Q2CEwAh1RnwJAY2aRI905mj1DYNQJLEsDB2A458H3QDDhINnb38usv0BmUxn6Oihc09wzl8AdsuqHhYdfJTb/ASPBiHEEw0//iQyXI8inKRy73CkXYOmh8H3/VuB0b2uufc8h5TMzMzgOA7nzp27xWe7XP+g+92Pn5rNJrZto99woeDiRAMMT6Nd1vhoZ5Aez2JQD7AUj1RNYAVQ8QKUiYCpUJS5Iw0qwqKwFZAb7kb2x7iadYEoRi1BMdOiXZ/C1KPMxeqErEu0VtpkSgeJqx4/zHSx+g2LiVaW4colzNc2KdRGeVNd56DxITtukr6MzY6/TLfhEo0KCqtnSE/aVBZ14vE1EjJFrNCF292NeK1OcmaFcLVAX9YgnGgSj8Rwy4NE3B6mcj2USyHccI2fnXybTKzGTDJGoZBDTB1kfbQPRQpq5W7yqeP0ttJkwzWOZHRSqZM4XxVs2i4Dio/lvEpiEvQPS0wPDjBsn0Xr7ier6QwpIXpO7VCLhKmLLMd+KoCtBr2FWYT+BV6P9rE+PUSr+Of0KE16hIWzWWd41SLIlNk6GqK/Os3QiiRR1kl5NfT5g6y0PTh0nS/2fcCmHGIlaxBerZLIXyNUncO5kiWpGiy9msasGhy+cA0xVKa+1s1fa03T144w8ms/onFaIvUe0madcNjCyydwmhHEJR+vqaFZFdqFNO1mi1BPEd/uRoqPOfbxBeyGQyFhooQ0jrQv0ns1zUe1KdI1n0xxGcNrECgxhlfCeLFJboyvYzguA2stUsVePj6+RCGbppSxOVqbYWi9l1ZmEVvtxvRO8OZHl1Atg+0Bl7jfh7HTz/H6Mqm5KcpqlJ3NbkY2mzhTy1T848TEDqFmLwciBZb7pkjKJCk1zog+y+FByIRjHBrOcnqgi5i1w7H4JIrofC6yokS3riIZ5PgjuDV/UviJS+GnHHtr5B9HcH0SPVzP0zTD87xHJrPp6Wlc1+XkyZOPPRsmFAo9kPjaAw6+FaAPC2zbZv13S+y0KsgxiXf51tECspNlakvciIS2Ci2B1FUql9qdOVou3JrfhcAMdSzRBYLaB028ZoBT82hcaYEpaK23cLZvPoXKrVXtVcGzvc7jKKANg57RMRIqUgpiYUF73SF2JIRAkHkjgfQkxe/XyLwZw60GeI2A7BfjKLoAFALbJ34wjN8IEIZCe8VGaLAs50kdizL813uQqqT0/QaRURMjq1H5sAVSEh+PQOCTOBwhMmISHurUA9oFl8r7DRLHIniNgNacjdmrEeo30ZOd/i9FE4RyJqHcbcez+MGOUPatgML3agRBwM6fVXG2Xdy2h5N3cAsBTiW4aT5y8467pZqAM7qB0gyj5e/1MPfrUfx657NV/9brWL/+x0jbRB1dx1RU6pen0L7yHiJkwVo3wcAGitDACoFjgoyAYRO0eyAIsTNahqKDsejSaA1QM46ytdbEdzIc1ctEImXWyyMkw0VCegPXN2i0uphdP0s2sY6u2Uipspw/SMtO8+PZr/H61LeIGjV8qTGQnWd+6zg/mvllVnam2KhNIPCJ6R5h2gjfJJkUKDIglpHoYZVIIiCVkGysqyTSglYLIglIdMPYUYglOiWwqtoxzOgbg2at09MlpewIvsevbH6h+KxEDz9teJJZkU8bEHxSfnpeQm3XMVdVVTTtwduNlZUV8vk8r7322kNve/dx7Gay7otRF/IOzgG9I4L/qESy5KANuqQvtpBtnw3CNEMGH/eFGS41yO84aK0S75/KEDZ1vqecZ2i5Tm8xw3bcZXJmiNq5KgORFiF9kIHAZ+RKGe2dXuo9Rb7Z/y4i24WIhQm90+DQsXmWxyTVSgR35wTFQ9fQawallRjp1TgctNF6BJ+LFdkghqePUpUJDh8YIlppYCQOUhjJoSa+gR4+w1ioSNBboDT0Or0Zm7gWRs0rhNwdUq849JQMhHuJIeUIbqhJfGqE8IkDRIOfJf/uJhNpDdEzgrWgsKEU0WK9XO2e5BXRjad20ytSHZfEQZfY/CatiQEmFx2KVUGiDWp0gK44tHftFHNxyL2CpEM1Q0O9wDEIAtbja4R/OmDq/R9Sq+XRu6t4my4xR6KXEuRHBxmpbXC6vM6mKzDNGAObdS7kPseJ0DzRpmSosUFqo0Lb7WV5eIMDkfMsjA7THVoneqBC+lKOelKSMnYQXUcplANkNcbMzhCpdIFD7jqBVoONFtWfXkPkdVY/PEp3T5Zk0qX9+VnMaoTr13oYa6oEEqohSIsmB9aiuMkkTshneKOJrYwgXI8rh4pMv/kxuVmBVjnKyKrB0Rst/iw0QhCd4rz6Bo1SGaN0FWGFcNwpEj11lkNZLi9/jvgbG3T3X2H8UgN7FdS/4nI6dpladYwfl/4mCdsim1LotWbInx+kp1/FHtRQBtOcyB2la+IgM9kkydgqcXWOnDGKhU2JEq508RUfBweJRHxaHDLuwmfJRfelFVy7F9cXGUF8GmJ6HvfbGzl8GEEtLy9TLBZ59dVXH4vMHhXhodvDhRvvOzCvYsoQftnp+L4DoHVKBFUIjwm8KvhpiTRAtoE8N+c5eey10LHnLTaMNsVYAe+8BhKUGfB2bho55DsPjUmnR0mCPqQQGTNxtj38po+Z0en+hSSRsRB+zUeLqOg9GtaaTXjIIDSko+gqekal95eSmDft3gNXYq04RCZM8AVe3cPM3hYnu71rq38yQ99XUreyhemTcZRQJ2PQ9aVkJ5NV9IlOmPeIXUUVREZChAYNvLqPGlKIjHfWtxZ7eLmsGlLIvhVH6ILcz902ei1/2CD/rSrRCRMZwOzHS3BFJdUXp7XdpnnNwT5Rwt3RO4JL3DyPPh2Pd+fmF4Ai0P/oy7hvLBHJSIKRTWQrRBCrIzULxrYQRpugHUa++xpqbhtOTHdcDrcVAmFh1UOsbI2y+Y2/RBCTFGIKXvMyPakSM9unWdw5RMtOkYnucGbi2xRqg1hOnHyjn9mtU2xXR4iaNRTF570bX2Vj6xh620AxLHaawzSsGK6dJOaotLwEccoo6ESl13kpbQG6iSoCWgVJOCbxa5A+LBk5qLC+IhA6tGqdYWP9EzByqFNmquqwtdgZahxLQbvVKT/M5iQ9PQ99iz5RfFaih582GIbxRD1cL9o043ndLwiCW+NJ9s7b2g87OzvMz89z9uzZh2a0ngi9OvTqGEDogoO/pJGtN6mVapQVnU0ylFFRDYOT0mYy4RGzm3zzzVmG8yEK0Spf+3iDsXdbfPhVFSfIM6qk0GWeG7aDUczQP9PF3PfCxGZ7qL1xA+F9TO5HNqXFc1w3ohw2U8jQCu50mENvtKkc/nk2yiUm50bQh0J0D3Sz7v1VWq/McnZkgbx7jksfRHA9j9xfc8GBxMAgBfUcfb8uCIQAKcnKJTxlECF03HiBqPpFotyMV8q/xqCisBj6PsdHe8jqKkIkmXwjDKoCmobX9zpqs82mH/BzOmhi6o5TZ3k6pj9CvyuRQwZZHDJntdvlpQ+7tCgKXZ8fxnVA/flR0kAaiNdmOL+5ynC7n7NNjz8TPn/tf/mP1M1j2P0qgx/8GWfLIS4dHMeaLNGUU3xl5mOEukyfkmUkUBkuzPHjkSjLAxqt/jKvzims9o/jllu4pQTb3z3FVjtK7Ohl5vUoQ855GhMBcXODZk5naeU0itIinmhhuwZbJyUZ3aU/skLuuwO8k1D5o79cIhNcZWBDYaF2jq+aH5LY8nj3zBDvHWox5PWhdat8II5irQ2S9pf5YnuRP381xXZtgFqXTldZ4GxNcTz2LuGJNWrXMwQXYLxdwD7iMJ0eIb0gGZ6p02WVmbt+ki7zIjW7l1yyQOqcy1YqQtOM0TQcapluTiezjPcmSEhICZMltjEwGGCAgIC2aNMv+xnj3uqpTxMe1dTpL4KL7ksruHS9syF+GVygnkeG63HIbHtjlZXrVzj1xheeD5ndBT2tEj0cwlMC2qvubddBuLXirE2JooBig9olsFs3e5BMoKHRyYZpt+4TjetoG4J6zSGogG8ABf+mMJMdkdAVQA5wFLQv6ijDDuGKQng8TLQ/TGIqjDMXkDwVR3iC8JiOtWISGjJQQ7fPnx67/bFQDdERWwCqRE3e24/XarUQ6s0Bybt/00HKm++7AlpSRU91Hvduxyy74OG1fJqzFkITRCcf/z3S4vcKs/TZGHpCQw0rhIcMNicWyf7NNL3pPuyiy8bvFWD8FaxZBb9bITxqUr9mIx0PI6vjuRJV72TQpAOtFZXk9ikY2sK/OErw+R/j/uefQfzXf4ggIKBDwmp3CWSIzlA1DVYH8ZJboPkE3zpGM+HQWh2lHFRIj7mU2ll+dP6X2K4OYeoWE72XWC+P0Z3YYHHrAEubJxHNKDYGfekFxuKzDFXbdDNPfWUCF4UWcbqoYFAkrPkMs0aZCC3SpFWHdS9BzdNIhiTNhoopA8KOixc2qRRVRgZgYKozByfTIxk/AaOHO3bvoQgIBVr1znytbA6ywPL2MxjG+gLwqNHDvwiE9mnBbtblSUaXfBpLCh/3+e7uK37Q+qvVKlyffpdjx15/oGPus4LMaKgDOsnP+0T/S5mPZAqdNpI4K3GDw4ZLsaBSMT0OXc/wO+fqHP9BgjeWa7T7y7zxtsbGCRsle4XURZWtvi6kN05/Q/C/HR+iIOKMRb/JgXfqJJUCA4f+AOVYiGUrhrI2xecnLhJ4r+IXjtNvW3R/rZ9URkPorxBaDBFOTkAyRpY+Jg6EyfZKlJunxQT6R/a8V0IgZWdDLSVImSW4i58828bxvTvnbaodgxERBCiAjJjkRMc86JYb7c1rW+lmYHPpOuiGxsQRlce97JmhztdeDCUO4cYOATCowBvT02z/2q9ytLcfJfDR5too4RDKmEFRtTnc1wu/FEFfg1Ssi4+PfR61Lem90WR8uE3P5rfw+gbprUWh3OR9+wTHDtxAVCIU5kfpH5unrWvEfudNar9wiQ3NQv3ih/zr8BB/+cMcSv91rGtj7PRv8ZpZQnT5fHiyxfJwnV+66GCl+7iU7af6+lmmSmtY7RZV/Tit4REai0uEFlTmj2zQmwoTmSozGZlmczvL1IJNIxiilm1z1emmXDWoRXT8N0tU500yvWXmY9ClpMmuhdgphIjG8thdPm1P0LQleriGd2CQUCFLNq3QW5UcHNeJ6KuMIIgRw6GfMGG66BivFb3iS8FPj9Nj/DK8ngfhpRVcQogncir8tNbI74f7CbXHIbNqtcriRz/g2OTYCyEzAMVQSJ2N0py3INhT46/RKW0LgChoEbUzh6sQdFz64Gbv0R6xBShJcFY9NBEiaAAtEB7IqNrp2wIwITao0/03YtArUTLgYmPlHazBOvWgyMqajau6sHjTAKRys6l64f6N1g9zvvJ9nytXrjAyMoKu63fY5u83aHq/70NjGiFfpzHTxisGtwXePrd9XMQO3MlyRq9GdDCEkdUY+3s5lJAg3H/7+WQg2Xj/Klg6Sj2NkdRAF1jrDl7Dx60FeLUM4VGdgliicfADnKQDdholaIDmwbkrkO+GShoaMZhcQmvp+IUkWkZg70Sp50qsXjrDth+mbMXYLo4RoJILVclUfVaKJ1l2vkA3RU6wiYOKAfSVdxgq11mjiKBAgMYyfRxlkRQ11ujD91RG2KZOHJ86qu0S0EuSJCKIEtIEUlM4MO7SO2XTcjU8JcKZXzYwdGg3QdUgkuwEgR2rEzPoG+6IrV28LJmjn5QUfjJ4EsH1ae0xvt/9HsZPD5q1BZ0e7OvX/oyxsRw93anHPoYngcxqcDRCo5hjmzpJt4EEDmsVYmKEViVgaTCGVU+hDw7y337rf+Pz73yblf4oYivJSsJls7XB8IpBdjhgpzpIPtfG6p5n4XwWmZzhF9+uERpvEgzXMHNtPp6o01fo4czJ/w6hLNJ0juJsDSMbbZpxj1bRxrbP43gOV+dgdlnHNEuYpknDuT8/qar6wGtQEARcu3aNVCpFMpm8Z97mfpb5d/NUz0CndHptQVAtS2zrTvH0NNfA8T1LQ0qJn4qjjw2A68Lf+Bl6TZ2fGe7ntsL7OewPrjJvuVgnD3GoVmd0bBPCy4hMLxt2H2Frk+5QlmpykcXfO0Dhoxw97joki6xtDNEbs4ldmCCbvIyaDfhbU9NkTy2ys9SFm6vi2GnONxWS6TMUgzDdHzRh28dIFMmW6tSyMertEH3tqzR+ZhXdzbJhZ/lL168S6qqw8+UdrogcuapNbvQy24URwguzDDSrZGtpGrUM430fMla6xNzP9jP9egt5qUjbc1lYzhI9GqHiKsgv1xn03qQ3P0+5S/DWhI81pCEXYtiDS/SnMvgIDEsjVtTpHei9JbZ2z+fLwk/w2TB1eqkF15M0JT+tC9QnXVL4uGR24cIFxg+eIJN7cdZpzQWb9f9QwBxRkequ5Ta3jRwU0KICNSMQvoLflPiVmxkuxwVFv6m+OgjqEOiS5g0L1Qc/1hFc6KAnFPSUilfzMbsNDC+M2BaM/GJ3Z7DyXQiC4J7G6t2vBzlf3c/9amVlBVVVmZycfOB7sXdj4jV9rHWXyISBDCT1K23MHoPwIR1kpy/Pq/moEfVm79htYtx3kOd9fn4Q9KSGnrz34y8UQehcGWe9Qk/P2B2Zv72w/QJKMYGZHaSkLmOzDL6AIIQwA8zeJOqlMzhDH+GWwuj5MeLNCVxzCE/PkBJDdJ2K0HTPIi82mKBMijpZq0Ru06GHFSQRFFw0Wqi4VOlDQyVPF1kamLSxCAEB3ZSQCPqoEGgxMl4TBRUjZuNJk+6mgxBFwnYRNaXiEMKt6qRVQTSmIUdjdPVBPNOpgLXakMx27N3nL0G9DMff4o7I7stSd/5Zsdz9tOFFC64X3WO83/0eJxjoeR4XLlwglZxkcKC742b0AqBMt3D+fYFYl8YVJUIchy6a5L0osYJDJuWTj8O3/m4P3YsN3pj1uXDAp5G9xlyyi9WhKOU+nZHtAXTNobdVRLq9bMoyXxjfphy3aVRzVDNJhkfXuFh5k770n+IMxwmpS5QqB+kaPE3vQOaeY9trUHU3P+2Oddn9m5QSTdPua5NvGAbFYpF6vc4bb7zxQEOtO/hJeiyIBQblIGEZ5oq4QkyNMTo5Sr8PiiKpeZ1IZ1R0enyfFT/duo2uIw+M7nsbM/BJKvBGPEQyEYLBbuAEkk6BCwBNj57FbdaSbbJanVdP/TkkbT64cJA6JXrGNYarU/zSjsW8LJA+rGApU2hLb2GevEGPZVC9cZT/pmmwOrOCrTocSF9htBBgFDySRpn81DVOlhW2sjmUZJxrQykmyz5Rq0hoAvRKiFyzyYfDGue6FsgGFWw9ynI8R7BtM8EqthblkhFhcDKPH5fsvK7hhgbZidmolcOUdIXUlIBUmUgmRC8NjH5J1QkTJUqSJCy3oeIwoPdAz+0+/p8Irk8fXlrBBZ8MoX2SJYWPS2bnz5+nu7ubwanDd+4UnzMUHXw7oHLewS3fda51IAxaQsGrB8hAQkh2eoYqdMrQ7oYNtMGTEqJg9Ko4G515W6Epg/TnYuBKEqejJI9GcMv+vmILOu/F4zgz7mebv+t81Wq1bpUQfv/7378v6e0lRE3TcHd8FE3BLwfoGQ1VV1EUgbXgIgNJ7GCY1qKDagiihzuhxAcOmr6JXZe5/YTA46zdiDpMfDiGigL1DYRdRXYdvvMt0VYRfTVy8peJiCGK4jvoIokv2jTELBFjgOwrx6gLHzXSS0r/aQw5gD6co/SjBnIkxhEzSu8EfOdfKZz/epTCapik3cAlQhqPAhp1EiQBA4sIPgoGHhIHhSgudSVDNihiE6ampMgELdSIRG9IYkGNitdLHJejsTVqUsFQDUIhk/VymrDfxNf7GHwziuhR6B7sZLN6R+88H9lcp4drLxwLmhXtpSG0RyWzl+H1vCx4Un56mpL3T0NAEB7umCul5PLly+i6zoGDpzo2ny8IMqayXDdplSTGRo3LtDiGxRg2gWGwnYkwaPq8/t1Fzmck1yq/xF9t11HtGsnwVXZ8QX3IY96v82a0RWwrR71dppUpkvAGyE6k+NNT65wbv4ERPsDBgWFSif+OgajB+uavUq8YRDOSWPLeY3sUgyronL/7WeZXKpVbc812A4c/+MEPHjrHbJefCkoBQxjssMOYHEMTGgoKK6xQUSqclCdZFIsAHA2O3jqeBw2a3v3+UfjpoUJhpJ+BIOj0jpWqiOUN5KlDd+xxxKxFLtjkp3/VpXZMIVodwVAyDGUSvPP9g5TKNQ6eGka4axw8soKbPcFXUhk8DlFK6nQHCYgeg26drVyGSz+eJXVplHa8SiifxTV9Lq9PENsM84uxKpUTVaqFLO12il7bxk3WEW6dmeRJ0mM3uIbBghiB2BZFpYG3WmT0Y52IWqB/XSeT62M+qtFIbBNOFqitxSj2FPicuokxlCIlDtJPPxYWA0YPw8aez1ZO71jthvemCz1UkUdRPuUNxty+ZnwWXHRfesH1JC5QLwuh3X2su/XXj0pmhmFw6NChF75I48fC9P6VFNtfryBbd/1RAerQvuxDquOpgE7HnCHmQm0fp8W9fecmSC8AFfS4Qu6XM4S6deyCT/eXkhgZ7Zn0ojyM+JrNJu+99x6nTp0imUzua0m8S3y7v7vtJmlg+CbhjIlZMjFiBiYmsq5gGAYhT8fIamhR9b4b5btJaa8g24/4pJRYlnWrz+xBxBdiuHMfJEptBZwm3CW4wnIUVcYx6CIujzHEf4sjdogEEzTENBKfhDxJgIOI6MgxH+Xm5SZ57E5X0V/8u5LapsK1RpKGnaFWbhEmTzdFEjRRsCiQxUMCcSKYrBKiRoaUaJIRAZpSJRXRaYWTRHybRCogU69iW3E83aBb3SKcSGKqFdrNNKlEHCcdpru9TaqSpOvzOSI9+5/rVHfna2MRfLfjUri5CKWCSX5VRZWd4cifVvykpPCTwZPO4XoUq/X98En3GD+qYy7A7OwsrVaLV1999YWvTTliIv5GmuAPa+ScGj2sESDIqz20/SKJdUmqoXCqMMdI7jpxs8Wq3sewpxBZgLDmUNiyKPTXsEIK5a6AH5fCtKlzxolxeCbN4amrCC3O8SNjlHfO4Ra3caMnGBjTb167n+417Fa4GIZBPB6/5++u6/Luu+8yNTXFwMDAvvxUq9Xu+N1uT7hhGHgRj7SWZsacIWyG0Q2dYqSIZ3q4mkuX0SldexA/3f3z3fx09+tptVokEok71v9+/ERvdvdBURbXwHag3oRE7PbzHQwjNw6jxtuk3wqBHAVaHBa9xL4UoVqQyNcE0vMwVAWDANmjoQLdN/mPmzO++7om0d+tkJ+ZpD68Q8vcJHzDR6v0MbqdJPuX5lDXllib7KKUKtP+8Cy+X2cu1ORzO1VSjR04XcdpD3IxmaB6uE08kaH9+jZdpTYjliBULkBvmXcjOfLVCAmjSrrrfVzjFBvBGb6mTtFL7/6LIaF1vvyVjsNT0ITgAqqioykLEJjwKRZeL0ulyLPASyu4dpuSn8QF6kXXyD8Noe1efDzPu1VC8Chk1m63OXfu3AtfyH47oHapjV+TqFH1thX5LvYGfH1QDPArdGoEI3qnK/h+QWEdIt06wpTEJ0zG/ofeTqaoHRDLahiZznJ+3gLT930uXbrE0NAQ3d2dUs37Ed8udoXOXoKzLIt2waZu1tmZL+C0XNyYhb91m/gMaaJVDCJT5j3ljLuE+6DIz+66W1hYQAhBd3f3Q4lv7/d+10nwWgjfv+Nvmkihkbrjtrrs/ByXx279XqFTJiTuc6lxtyzYavLqz0Qwoxp6u5vNP2litnyO2h/hEKNAhjoRHCJAGI8mCVrk6SHkb9AgRZdZIm1aGJk4ehCgx3tJNHwGdurU1DReuAvfNmmkwnQFJfozN2jEuslEFWIhgb9iYmlZQl37BzKqBdhehu0lcOyOW+HG9TjfXQ1x6Cz0DMKBM53er08bHqXX7O7s6U/w9HhSftodNP+4eFKx9ix6uB7HMXd1dZXNzU1effXVh3LZM4cnUd6v0yyYrHUnOYKNh0UUG93vw2npeMkaZgPSrR2y2zWCeoutKZs//FKEn7s4gBKsEmgKblcAjs9W0CaaLLHSbRP9ziTpv3WVmBnhkPnfYGghTFPSbBwFpbODf97xTyklV69eJRaLMTIycqsiJhaLPfB+d/OTbdvseDs4DYeqXyUf5ElX03zf+/4twbcYWiSfyDMqR4kZsXsyZw/rg9493q2tLWq1GocPH36sPmj/xAFEuYaMhFD23FaEFZiI0CmdAaHcfu1DEzA0cfNxbq3V++yTii5suGTPDpNpaRiZQ/yvKx/QnXL5nPEx8eEWlDXylsuJ1gzvpMfZ9AUjH6bRo0mU3AajARjfMykfcLg4oBMtGwg1jj7qomXmyTfizAw0SBoRAhklrAwQ1lIILSDKMAeCw+xQI6Vu0berAu85iRXwNyCYAxogdaLmNaLaBXBWQT0I2gEQ+6RVP2F8lgKCn8LtwaPjZXKBehpC20tmqlVBVOrIzNC9dU7cJrPXXnvtxZMZ0FqwkZ7Eb/oIE4ycgrMadGZr3YTo7lSQ+HU618OaB1JDAPJ+iTsB6JA6GyFwIX44jJHtZILCgy+m9n8X169fR1VVJiYmHvk+u6S3l/ia8zaiG9SIgmv4BJ4kcSx8i/gcx6E608RJ2vh1j5bfolwu3yLFvb18DyoXsW2bpaWlOzY4O6IzHK1HHr91jHeXK3YcFjWkHoebgut+pSK7/z9uHb8wFLSeEEdPhRj/smTzks7X3w1IDXmEdiTVLYM2aWK4NHAIUBAIXBQy1FDwqREj7AVEpY0MGSjRKLG/lCaYjSCuuAzGW/gbdVpaFLfukJ5qoeYbhHMG4fE+tPkVNm606fnrOqGuO+eRSdmxg1+bg1YNzCgUNgUTQ5JWQ0NYCoHfMdpwHShtQTQFkQfvbV4oPksRxE8TXrSpk6Lc66D6qPd70kBiEAR3OOZaLY1mTSWeksT28WgqFovMzs5y5swZIpHIYz/n00LMtpFZncQFi5wv2RwYYdidw2x3YSDwdIN6KkljooZSlrRFEtHq5tDyIpPVBgYZWq/MM7KpoqYUNictml6It9xtktPHqf1ijUZPii6lF2v9BKvFPgbHJMn7JCeeB1ZWVqjX67z++uuPFXzUNA1N027NNd0Um/TJPlzhYmKSIcMheQh8bgmyRW+RPruPoldEa2hUq9Vb/LQbOHgYPwHMzMxw5MiRW6X+yzcEjarg6Nnbn4V9+QkIUnEIglu/u5851RP1mekCkhr8TA7x5V7GL7Xo+Rc1UBM0D6qU7Bus1EcpySRT1hxnawXeP6CwMOLhN7uxX60yOJcksxnm4mAEtS9BIn+C44QphH/Me5ECVXuAerUbz7dIVHpIJrpoKUVOlg8zmbaJ++9Tn+2m1ZOC7n0El78C/gyd4Zpd4C+DMoFKG50yBMdBqdOZv7MMJEC5d+7mJ4VHFVx/EQKCnznB9UkNlnwa96g77N9d9b4hskKhwI0bNzhz5sxDe5SeF8JDBva2ixIWOJteZ9heiNuCKwFml4bfCvCdAL/mgtExyZABncHHd0MB0QOa6GzQs2/FUVQIWgG++WTv5ZNic3OTnZ0dXn/99afexIb6daw1B6NbQ4upBHbntewlvtTrKdyyfyt7txe+79/TY7abOdslPsuybm3CPv7441skZ6WWMAwdW6buIcJHiUju/f4W8d38bNyvz2w/YaakNJSUhhAQ7xHkmxavDVygR5gkvAB/a4sodXboI4TLCqM06UJDxaCNQ5g0DXacCKadxFsU9I9Y1N4poUcUwl8aJByUMeNtUo0Gvmpihny0YdiuOqQ1i6YFaruB+/4KDJq09Qi62enTunEerCZ4HgRhFx2FI6+pXD/vs+S0+NKpJpqepFmDi98HoQqctiSWgqlTHRv5TxqfpQjipwkvuofrk7CF31uirOs6nnP/ddZoNLh06RJHjhwhnf5kNnxyPISYrTEUukFsTkdVwdJfw26XeE9PcERPY0dbWLpHcayHrqKLHffRu/pYGzWYWrtAby3AQ8H7KM5W1uNwukV/4wTqQBlPuIT1z+PJNq1GGOfJkpVPjGq1ytzcHK+88spTB1x7ZA8LYoEhOYSGRrkzqawzR/NmH/RpTlOiRJr0PYN19xqA3J052zWosizrljCbnp5mfn4e0zQpbSZx2iHiPcE9/PQwZ8b9yhl3/39YHzTc/gwqigKxm1+ACGvMx2NseCNE3C66N2vYtQYylGUgpGCcWqYRlvRZBh/WevC6igwvCr519BIJ9SQxL0atssPI9ffILiuELtgc+KnPEbdPkl1fIxRXEVYSrxRmIJ4lVfc42neSkuKSzDcIhy5CNgkiwW0jsvOAC0ET1zHwApVw5HP49kVW5mP41gTjR+MgW+B+G0QcEewg1SSoZ0HJPsnSeKb4LPHTTwTXY+BpielJ7uffzCzcMsmIZpDRextGGo0Gly9f5vDhw6RSqcd+rmcFLaESPRCiPtNGjQrsbR+ae25ggNvyELbouBYKOiWEfudv+0LtlGr5TbB3PPp/OX1rqPCLRLPZZHp6muPHjz+TeWZqWCE61XkcNSJQI/dedIQQ+4ot6PTyPcwA5Nq1azSbTY4dO3YH+TlOkkajyJJ4H229H9dx7+t8dT8jEE17sGnEfn1mu/9LKXHKHk7eIzJhgAB7w8UrtFAGNSKZDPn3HFw2MCljorMVnyDs1PH8GK5n4pCln3VcQEWl1Aghgei6g0aDQAWzz8N06th2mOQbXZhOA+d8lUYbIuV1Sn9i0fdKnPRoGGIOuB7VescOfv36JrPvx+g/Eudzf8nlf/wXSyjRCAePJbjhNyhF6jQVC1VLYrUg2QW9Q5LlGYEfSPzHTzY8FzyOS+HL3pT8acKLrsB42pL3J3E12y1X3S0di8YhGr/3GBzH4fz58wwPD5PL5fZ5pBeEkIIcVtnKhij3qKQvSNR6nWWOoEiD9zIGqlrhzKUfMhyWBO0ampNhuafMxS+vYi/u0LNpc9jyKNoGh2Z1xo84hFLrtC3Bpr7EF/jHGEoc9ajKnUMony9c1+XSpUtMTk4+kz2AisqUvD0EuZv9nY4z7N/A+igGIMvLy6ysrHDmzBl837/FT+m0Q7PR4OJ7CpncNoG0sG0bKSWqqj7Q+ONufnpQuf1+/BTczJa1GgH5TYXu/oBQGEp5hbl5CYM2PUpAaGWI8o+7yI6v0j9o4fyXX6dvaIsJ32Tj2AqtSoSv/8JV0lLDDBcZq6ps+VVUvcBOq4cD7/aQUfrYmbhGw1jmwOQwbsPn8myZtpGkjIW3usXRsTRnT1WQYZ+qaJMMbEAyV6qgeh8xlkojQ7/K9z7+zxh2k1dOTDDz8Rizl6OY4RTjsgEIEBOgppBCAVnjjrKjTxCfJRfdl1pwPWnJxstgmrG7CPP5PJVK5YEbYCEEly5d+sTJzN52ERp4FZ9Qv4ZbCQiPq7Tn/NvzsgrgFwAkhFwIdIjSyWwFdETX3W0PHsQOh0mdjDHwa1mcgkd46NmXETp5Fz2rEdiS9qpDdMrErwc0blhoaYXL23f2bX3akc/n2d7e5vXXX99XmOVFmz4mScoRQqQ6IugOUXb7+1ardUek8m7iu9+cmAcRn9P0CWyJdMBv+RS+W2fH2SLx35/C/V+2Sds7LI9tUM5n0W2dHm+BdNjicitFkSQQsMIAo6zRRkWgUEVnq5jisLdBrs/CtzVkqAevXSC01EJZXEPri5E0Pdxmm4i9CTea0LJhshe2qkSlh9+VYG2nSLO1Q1g5SPsH6/T4RWpdPvlaG+OQy4BfZ7BfJ56CM1/pJJ7NMHQPyhdpuvZQfJYiiJ8mhEKhF95j/KT8BNwqW38U7K6pRqPBO++880B+0jTt1iyo8fHxxz6+Z4ayB45EVDXiXeMsN9s4k220aZ1M22UzanJFizC+NUZR3cYT21jxGP1unnrEJLZeZHHQ4GTYY/toja1Vg3bEIdeGYipHT/IVzlX+L+Tn0wxPPnuhVaZMlCgqKnNijjE5hoHBO8o7ZIIM7attYrEYw8PDz/y5nwcajQZzc3OcOXPmVhnjXqzMCU6/0qkuGD0g73BmvDtzttcAxLbtW+vzUfhJ1/V9+andBCkFrYZAVSUffl+hVFnji7/aZPJPGrxbifGB1kv7+hDp5TP8vF3BqB8g7FV5q2Lyuz8/x8EP3+TGsQ/xYi4ts0ChlkasH+GaucTO4S0m9RHGdrpwS9OYjTxrh68wqfTjNk9x4UADx96kGJ7mT9s9RJXDDOptKopHl0wzu9CkIgXpjMq6vEA5vsnA9hE+kD4b8VcZ6fsXHImPg3II1OMgdBBRUKZeqGv1w/A48yxfdtH1UguuJ53D9al2gWqVkK0aXjxHLpejr6/vjmbWB82MWllZYWdn54HRn92SsecBe9slcCTWpkt92iYyYuBWPJSoT7AruBQ6wkp3Oz1oGqhhCFSQ1fs8sAHJk1EO/ON+GjMWdtV95oLLbwXYBQ+n5FO71EaLKR2nwKSKGlJY3FpA1R6vb+uThOM4XLt2jYMHD943A9Ylj2JRInTT/GLXiMY0TVrLNkbJJ3csfGsW2C52iW8/y/z9iE/UVAzHxBzXCYXuXIt6zsCp+RgNqFkVbMPi4MQkzittjAslrqmSmLOOWYjhmTqhyhYRrYmWVCm0ksTdFVxc8iRpEyJBGw+fxWqCqFeHhSbF9RZdahu7tkOjotEuxeg7ZGNmHFrbbUL5bcRCEUbT8KN54skQs2+Oow7E+Hzcp9ic4bcrVUTC412nQtFx6Y1HWUjscKJvjZ9/JYO2p3pHUTrGGltrYBjQN/S83uVHw8syoPkvGkzTpNXar0b6/vgk5nDtro1H4ihZQ8g6vpcglUrxuc997h5+2mtNblnWLY5uNpv3iLP9+OlRRd9jv85NBzyJWHZwr3sMTsHlRZPDXS3qDUHCcDnXrFFWFcpdx6iPSAa2zvOdvjfZOHSNcl+Ln130GEqq2BMO0QScTwZsByHGjFN8Vf0HtLZ7aDfFM3EivBvLYhkDgw2xgSMdVKEyKSdJyRS19RpW3Xrsvq1PCkEQcPnyZYaHh+9bXjo8KakUIHVzlu9eZ8ZNKagHkFEkY3e93N0y1/34qdFoUCwWb61Tz/OwmjpOK07fsE80dmclRyxj4pshqmUTx/Ow7B1Onj5MYSdg+4OAZkjHb2uMuC3MmMeHsxHsg1kGkgE/+26a//RL/xGz3kvi8hDhepzEoI9aSNDerrJyuEDCXaC4+RGZRoCMB6R/sMzxcgnthIIeMZBegY2Sx2pY5YTtshTewdCanFrtpc8bwxht8I4qaH9k01Psw/uew9r8PDs/9QHvr/8s17vC/B+1EyDM2ydICAIJized9UcVUD7BJfNZ6jF+qQXXk5YUPo0L1HPPcElJcLMmXtP1Bzo+7dq/27bNsWPH9p3LsSvMdi8+cOcw32cpzMxeHcUQCEPQXrGpVQMUXRDsPd0BYHqoIzqq1XEY9Gt0Sgo19nUoFBmonm/SXnMwenXsdYfAkyjas7tKqBEFRReYfXonS1f3MbKdc9/IVCjm87x+5un7tl4EpJRcu3aNdDp934ynQx1LVEjIO9VA4AQohoIWV5GuROyz/PYS34Ocr3YNX6o3Giyv71DPNunVkjiOQ6PRID9bZGtGZauiE+lpkh2tEwppfHx+GvVqkeYrX+XMta8Tub5DU21Qak7gkCHslcnYWx1DD1Q8DJqEiNImQZMYLWpEmG/2UvuOxrBhkYlWCUINpIgS6OAtVFDdOkFXEm+tgjCjiIsboKtwKMfW9AqZVATjYIL/149nKDTbSOnRaAoWmhb21g7Dpsrx3jvFFsDaInzjd+Dye4I3viY58zkIhQW5IUn4xfsEfKYI7dMEwzCoVCqPdZ+nrcB40oAgPGpTurzpmBugabft3+/n0Do3N8fW1hanTp1CSnkPP+2XOX9YSfOTCjOZM8CRkFTZ3vDYuu4xmK2z5WpshUIk1j2OUGcrofPBwShn7DYpu0VP7SPePubxWrXNsYstqlM+1kaI3tkw+W7J0vEeFqxLvB7kGTiSZt5ZoS4GSbCPa8hTIEuWqIwSJ84220zITvCvv9LPhzMfPpO+rReF+fl5hBD3DWC6DmyuiHsyhY4EQ0AcSUuIfc/wXoOq/TJne+H7PuvLLuXrBdKNLURvDAtJq9VibaXOjapBMRkgIy6nuvKM9KhcPn8JdSbMyJEITiTGwrsRFvwQKc9kOuZj+230+A0WX8kTKEeAWZLVLKmKwBn+MfaRMOsRg4zU+MFWm8FoDXWkxVaXz5AX8FZLZU1boUEMgxHmogopY555JqlWVXqTgmCjTndgcjR+gD//p2XUdYdktoZR8bgQ+pDG/zhIulXi8Oc/d6fYAgqe5EP3Ct/28/TIc7wWW6EfgwwZsrz4nq5HqcD4i+Ki+1ILrr+ILlCeGkIi0arraH2TD7zt/Pw8tVqNV199FcMw9s1kSCmx1lxCAzoI9o363C9jtp8w24/8dj8sZm/nYh+LKmz/YRm36NBesTti6vYrBFtD5kHGBEqMjuCy6WS/djNgeyAcsNYdrv/f1+j7xQyREZOgFaAknm0kNDLRKSGMTtyuOa+XG1z7znVO/PTRZ9K39SKwvr5OrVbjjTfeuG+0syzmCfBJcFtwtVccfDtAT6qYPfp9e8ceFUIINE0jeziFMyYRQZnBSB8anfPoDHjUcx7rJZOidY1SPUVvTz/92QobaxG2rvj86dAvMDT3PdJ1mxxLlIJRTL9O2bJJaC1K2iCeF2aAbZKUaZCgQhgJbJAjgcWik8XWJaZikxrRyVEktL2JVFTEqosYzSJSIWS+Trs3zv9azON7NYZ70vyzK7N8p1zC8SU2nQumRqf6vej6jCZjNOoe22sq1bLk67+t8L1vCIrbAjMCjTo063DydRgYearT+cT4SUnhJ4NwOPzCe4yftqTwYfDdKMVGk2aqxJD64M3sxsYGq6urnDt37lZgZj9hlt8UJDMS3dh/mO8zE2bpzvVMSo1CHcRqi9qCj9dQUZoCGwWBpK6oxLw2lqkw+9d6EB8u8eW3Wwz3qVTiOkvpEME1iZryGWmqJLYUUrmAfxf/v3JC/RVOhk5So0ZCPlvBNSSHqFFjSA4xdPO67bgOfzL3J7w6+eon2rv9OCiVSqysrPDaa6/d97q0OCMIRaBShNRNDVCQUAoEpoARRRITT78BV1WV4XGV4XiUwvVezFQf8e7OPsZqweCmYLkL3MISzQXB6Og4A+NtlKUqGRxa9RZX0hFWAp9yM0pEq2E2W2zNmxSOOZSG4xy/eoLNg/NshxY4OJ9E2w4z1zNIuJijywpTaJyiNTjLjdGPSc/1cnk8Rn6yzhUtwWpXizFgxDvIpjOHYQyw9NtfoGaUGY/W+OM/WOe6ex0zkSG1ZJEuCUa0CDO5Bapds7ySeBXb8VgLFBKrbd4O1fhB/Jt83LYJlwY5Xfo9akcdoqkRupQ3n/p8Pgk+S/z0Uguul8kF6pHIzPeRjQKaZ6HHeh/YbrtLZrti636wtzy0pIq13inD2yWhB+HuXp7HFWasaJSnbZyCj5IEv0Qnd60C3m5jKgRtH0UBJQaBoLOLvTvLpXTu6xZ9nC0fs1cjde7BRP8kkL6kfr1Nc9YmOmaQOBnF930ufvMKuaE+kuqnx0b1QWi1WszOznLy5MkHRjtTcoy2KN/xO6NLw9pw0B8gtNqrDk7JI3EsjN8M8JoBody9z+PVfAJH0khY1Lw2Q5Ek7brO7MYMh3OnEAKMjEY2o+Ftb1OaznPmwFskEjrZkELfl1UsN6C0lIVxj2BlBs2BiGFgVSNE6zZOqouYbNEqSuqEEQi2ibNGhDigo6DgUcek3jSw2oKdqCCrtmhbEVR89JCKv96mljTptTz+py6F70d9NqwKoa0mqoC2L29NafHoRFhDEr6c6eKjP47z8Y8E599V2FgEx7otcB0L/ADKhYBaCWpln2zvPoM8H/Dzs8BnidA+TXjSkvcXbZrxqCWFvu8TbNnoioqZMdCV+19fyuUy09PTnDp16oFZcMfu9OjkNwUDozxwmO8u9vbyPIkwS6xr9KwqtLYFIgprRYOQ4pGKOCwZJlndp5yFpfE6prxAdnyUZLlJej3M+isq+ls1aDVo1yOk0xqhHFjRZRJqjqyMclKefPAJfwJIJGtijQviAjFifDn4MlJKvjX3LXJ6Dm/kU+LQ8xC4rsvVq1eZmpp64LoYOSDZXBa3xBZAGqgI6HqA0NqUUAsE3YokDBSkYEi59/aWhDKCXKOB2C4ixwZY0DPUVwRvdQWEBIQiMD4h6arV+GBpjjPnXicaidLVFUO8FidttgnVq8SmrvMHq1FqiR5yWpxtzSLkxxmc7aN7W8VcD5E86HHt9SqyPEC1ZDCxpqEc6KUWbDM3KFgKp/hCw2FAK2GG25SVCIf8KoFwWBYxzuSrNHJtst8bIPmRx9RWnohcZ+Ovl1ieXGds1SK/qtMeqHB4dYD5U5LNr1b4qJrF/b01igvXeVeL0MgnmP+vs8QXTJwTyxw2Z5FSRS8PkWiaBIP3n3u238/PAp8lfnrpBdfjNiU/LaE9L1t43/c79u+RFEosta8T4S5KpRLT09OcPn36oSlzs0/D3nQJDT56qcHeXp4H4X7CrJ22cPBxdBfKsmP5FsiOYZMKRGWnabMBQZiObXyZTmZLAnGgvvskID2ITpn0/GISI/t8Siaq51v4ToCiCoybEa7r16+jjygM9448dbbnRSAIAq5cuUJ/fz/Z7INLA0ySmDLJtl2h6DQYCmeJR8JEJx+cxVNDAjWsgAL2jkvgs6/gsvMe0peUw01qXosR2YWw4oRqOfwuWPPyxLUwcQxmZmYY7T5M3NXwbFgsxhiejJKcbDIwaJFKZtBnelDzPnqg0R9OYkwLfK+JXWmwpnWheBpb9CJpIFBx0OjDJkuDcbbpJU84sNlYybChZ7AyJdy4x5dXq1wcVXC3LBbSUf6j2mbDU9EBy7FR6cQKdpeuCrRkZ4kO7rzGf/wvGtvrUMnfS0SRKGS6JaNTklRXQKkoSWbv3Bg9aGbM/f62388PwmepKfnThCfhp0/K1OlhvLg7nkRkNDJOF4p6/yBfq9Xi4sWLHDx48KHXIcMEXZek7jPP9X7H+zTCrNVjoRlNulRJoaYTwSepOsgImJrOWtrAKasoZfAaByjHhtBHPyZVLhJqqBRWutjs8RjVVXQlhGVvcjExwq/7v0CO0fvO0H0aXBFXaNBAIBiQA0CnZzteiNP3Zh9TTD3kET4duH79OtFolKGhBze2miEYPSipSNgMBFlF0iNg8iFZrQjQFJ3/16VABdoSwndd1jakQErwSzU0z4N6i0hvAi0iaQLh9W2kqhL0ZLh27Rrj2R5GgwLSk4hZFTlhou149IZV9DGb8hWVDzcy1PQ6+jmL0Qsh+jd6+V7FJl1aJRhb5fQljXBF0qj2M7WYQrHX+OO/2WL7xCphUWdkLspQOcE7XePU39Np2Wm2XmkjV9PMeArLa2lO/8E1ctOXmT6jUmgfJ/x7hxk/skbmRprVLHRlZplYTPNX/jDDTOLX+NPkGtHFPH7LoTnZJBpZ4+/+RpaFX77K2evXGO4J0xeapLp+gKDtIvvu3Oc8iIMea57ZA/Co/PQXwUX307+LfABM08SyrMe6z9OWFD6NLfz9bHd3yUxtFtDMMEr0Zpeo0wItxF7Ls2azyaVLlzh06BCZzP1F2d7nDvU/n8HA9xVmE1BWGyz9TzuU7TpOIeiopt3lFoDWD16Zzm427kKh83sCboqtmykxKZA+OIGLP2phxw20Ns/c/MPo1lB0QejNzrnanbf12muvfWIzzR4XS0tLeJ7H1NSjkW97xaHddHBVj2bLRk0r+JbESHdKCveD0a3fEqShQQO/GRA4Ac05GyOjYeU2aIgtEn1jmFaG8UgPAZLFSwrSP8D46U4zeanVwJcBm4tLJBIJUvFu7LLE0wVWG1QVUiNRxIpF8r8ah7Uk4jsfEfID0l+e4OP/uYGiKlSWDLIrJm1Hx2hK0jRJYlMkSy87qDhECAAFHw8Vi1W3H9UyaXTV+daRODmlzv/3WJhmzKSiqDguSOmhKhqOdivJiuKCI0DRQDRCfO/PA+oXuPnXezE4BrGE4NyXJL0DHbLY23Zyv3lm+11jnmbQdBAED+wF/QmeD0Kh0Avlp+eVHQuCAM/zqJUVNFUndDNLa2Gh3fy3C9d1OX/+PP39/QwODj7Sc3c9hth6HDxQmKXbtJrbVK5AertFVJFYdY2iqbMRRNk8ZXAqcZiuUpzmsR0O2xY7IWiNNpnVPA41wTdVdM+nWlSpJySiMYalJfHN1jM3/+iiiwQJ3gjeAO6ct5VSU8/seZ4ntre3KRQKj2zssSkFq36n4KXqC9qKpCoFGQGD+2StAJICkjdF2QiSAh2xddUXJATES5KVeYVkn8QYlqgjOaTvc0NotONwXJGEBFCqIjSN5XadIAgY7e2FagNRt8EPddokRkx2rF6Cr40wdRyq34dSIcsXT79OfvEaIuNxVLlAd2Ga9naB7XaCQxemKKhZ2pEKH762Q8b1yEz7tPsMlsbDzDZ78T88QVIrUG/FGfzxCZxjTfJXw/yt8zHwfsTm0DUacR9fCOL1U7z17Sgrp5f5znGH+ViMuqrQOwfvVG9QWx6kV9YR+ThHo9+j0l0ifjjN2VWLvnQKuXaS8MFjxIfHO2m/PWv2Yfy093d3z9rc/f5R+Omz1GP8UrNwKBSiXC4//IZ78EkQ2t6m5LsX3C6ZCSHQ8zdQAgc5+XnQQ4hmCamokOwYHziOw4ULFxgYGGBgYOCJXoPX8FGjDx5s+7RwKx6NGQvfC3DLd4ktgAZopkrg+53dbEkn2O/zJujYxGvgeAEb0ztsxJdxZh7cY3Z3Lf+jfJgjI7dF4955Wy+L2KpWqywuLnLu3LlHJnoZSLLEGejJYO946BkVueOjhh7t4qeGFNSQQuDctDsSoKCjoGJEQuiRzoBKRQrKOwLPBsWEZFZysneEcrHESj7PG2+8QSikwDBUK2AFUK+DZQlUzYReHSZ6kEtFKFuI/hS93Xm0Wp1YVqdfzbO1niTvRWjYCTQ8BigSpkaAhkuIEv20aKHRIoND0hb8qNDFn0walHsL1MIuSRVqolMGGAo0DKWT2dr9xPueAlpAYIO8OkLtYv9dwz4l4GNGAmIpi+xAjbHjVRYWfNoe951p9rDI3eMMmt7F3sfzPA9N0+64dr3skcKXAS96TuTzKJffy09BuczWZoAZ7ieWgB2xg4ZGv+y/dduLFy8SjUYfOehzN6wW6OYd+77nAvlek3JbYyUAt0/j8JbPjm6StR2GnBabIsR7Zwf4KWWOyqpg2T+GkbrIzrbHEeHQnQ+4cSTBxdoIk5NXOGS72MUlLuWHsO2l+/aY7ddn9ijX65y8bX60O29rYmLipenbsiyLa9euceTIkUfuhZZ0xNIRIdlCkAZsAaFH7N3SBOxq+d2gmaZ3ZnpGDOjavaGqsuGBhWA6gG4Bg0cnabZaLLz3Hq+88goilULmesAJEIs2NHywA2KqDynJwCjsrCkoKqQyEj9ucH0tRjl+nHYqjeVOY1a2SdXX0aJ5zp8pUOjZpKyMcuZaDD+/TXV4nLXBJAMTO2iZLUKbLUJ/2kNmrka/P8Om/hZetp+B9Rjm2gozYxt8Ua/S6O/mQuwAkzc0zp63UKjxn39+iaP/9k2WvzDHkb46/kGLhckG3tT3WcqNcerCYVaunEEkuvF/4CLHZzrrsXovPynKg/eLTzNoWgiB67r7Xn/+InLUSy24DMN44SUbz7JG/g6xpesoioqobCGtOphRpG6CEbt124sXLxKLxZicfLCZxt1orzhoCQXFULC2XBRd3CEwnjW0pIpb9rA2bKTtAndlSyIgW5LIIRNrzsGryf1n8AnQcwI9rZOYCnPwbw0SHjCeusfsQcLM930uXbrE4ODgSzNvy/d9rly5wvj4OInEozdqR0ZvrwE91bkU6HENO3ApO026jYc/lrXpooYF8cNhrHUHbbWL3GA/zXkLq9kmeTKCENCVk0QSUCuD5wqkHzA9Pc3U1NQdBOy6nZ6O+TlBVxcMHo51bH7XWqhD3ShKBVFrkTgWQXt3g0TKp9GXJRqr0C6lsTc1nKKPDrjo+ISYSdqsqTGM0hCtmEPcDmjELZaicCXZoNmtEgskLQHuzdrBpgJNCXobXI1dLXXzIFX8iI2Qd/VjaYKv/hUF6Qte+aLCyFQU39MYmmrgug6tVotyuXxrfe5+9nej8A/alD0p8bmuSz6f5/jx43eMw7ib+FZWVvjH//gf8/u///svjdPZpx0vuuT9ae+7H7f5vn/L/KY/s42/6NEq54glBDEZQ795bZdSMj09jed5nD59+rE2S/lN0Skr7IL1ZYFhwNDE83Ukk7pAXbdYyYfpCVkUFJ1+2UQdLtATCvHVRon3tARts8KhG4v0rW+RmXBgJEe3UyQYK3FoRSXS288xs0JW6SE89cscOHTwgT1mzWbzDu56kDC7+zqgqipSSq5evUosFmNk5BNy4XlM7B5zd3c3vb29j3y/fiHpv6lFJ292tCeQ+D7kdwTduYevkfzNmxxWJdsS8nHB0VcClgPBpUBwWJEYAjpyVuLSyahJIbg2Pc3g4OCdotaV4AaIZRvSGvEv3mzp2Cow2BfF8yOUdgTh17MUfk9jWybpP64hdElS1zA3NyhqVWTQJFkW9DdTdG9IIgsh6mKGnp6PMcqv4+4YrEzM0Dj2Z/zcH5whkinxZ187j1E6xukPPMrJCKN2jPVxD7H2GsLd5sSOwGinOD8M80MVug9vo77VYGk+g5a5xomVALvnF8kORkiPDWDUfhq/aBM52sL1XSzLolqt3lqbu27e+/HTfoHD3cDB4wya9n2fjY0NBgcHb/Hh3VkzgHa7zd/5O3+Hf/tv/y19fc8pJf4C8FILrnA4/NglG58Eoe1mWPYOlrxbbKmqiuwZRw6cgFYR2lWIdTb8uzbfQRBw7NixxyIzGUjcqoeUKuFhFUUXGF3P920XQpD9QpzZf7d52whD5bYZRgCBC962R2hAxzZc3JWbV8a9m1sF3G1J0HAw3orjN4Jbj/+8zD92P+yO4zA3N/fEGbMXidnZWQzDYHR09Jk83kJrBzfwHii4pJQstndIV6IYDQ09peHVfeTNj4eWUFHM2+dJNzuVsRMnO+d3ZmaOcDh8T6a2qxu6uiXXrgpcF/I7UFwJGPTbCCVB9IAOgymSDQvopXm5TLxLw3plkOGtEOkPivizVdYZoLKhEKXMxViakioJlxKEDsyy5UZY2+mlMTmPl7QwbGgZGr7mIXxQHPBvVuG6vkrnl4AEpRTH3O4iut6/56gFekjya3/fZ2QKxg9JDp8yWZ0P4Xlxhoez+w5C9n3/nvXpOM4dxOc4zgMDB/sJs73Et7S0RDKZpKvrVjz3HuILgoDf/M3fxDCMn4itZ4gX7VL4rIOJHfv3jiDQNA2ZPkz/GQulZUNRJZO9XdK+tLREsVjk1VdffexSumoZDEOQ6pIkUhAKP3/7Z+VsjBWvxCuFCvG+Ct5ACLESwlYCjJSNiCtMrqwz8IaH9jmTxLdLaDdCpJxuxLBBsm6yuTOEudzCiLaRqRwYnff6aXvMHiTMdp2Su7u778tPz2uO2ZNidXWVVqvFiRMnns3jzQk0HRo1iD0gJrgWCAoBhAR0q5KWFFRvLq2EkPiIW6HgkNLx8zqgypvHvIZt2/cGt6Mq8lgUsWBBy4eKh9hxYXWFA9KHqVfJ9Ermr6aZ+KqgtbGN7I4xcWwER29y1Y+yfBm0SIWBwhZXjnzM4cVjRBzQLR917RUqbhhtO0V7pMbOqUsEH6aILAzwpa8brA/8iA9PJ3jjR2DaHnMHM+TNWaKxCtXyIN/82xbqd4bpuRHC+t99hDE/zlDXR8T0Cl86McSA/2Vm3NOMHBLsrAvCYxJNg/Q+seUgCPblp/uNG3qYa+ju97vl7UIINjY2ABgaGrrveAopJf/qX/0r1tbW7uCxlxEvteB60gzXizbN2C/Dtfs4qqrevkBGs9CuIlQDrAYynAQ6ZFYqlXjttdce62Lq5F2cqo/Rq2N2awjxfDNbAK0FG9+VbG9vd3aurtERW3szWHFwywEuENYhdihMW7Ow8gG3QkzQsYTz6MxN8nwqHzeJHjAfywDgUYRZEAS4rsv6+jpLS0uMjY0RBMEzyZg9b+Tzeba2tp5q4GXVbbFhlxkJdxFRTXJmioZ3byAjkAECQYDkx+VZeo0km+kKhzId8RE7dLv88u4esP6p22u/XC6zsbFx32MuFUHXIdcvKRYEjq6BqaMPhKGvB/INSETgzUnCkXVYrxDJWiSORmhsFbGcCpFXppj5s4DyYoxT64JLIstaxkcTIVoC1o5sEwoHKJEqVghaBmiuguYqBDUDMq2OsUtbQ3GjBNE26C5BqoFtBnSdPwZAuhf6hyRTxwJOnIPBcYmiQrUEA2OSeoV9xRZ0PvvhcPihZat3E9/e7/cSn+M4d0TMNU2jWq2Sy+VYXl6+Z33uEt/09DT/+T//Zy5duvTA4/gJHg9P4lL4SZhmwL3BRN/3bwUIb4lwE5SQgvAFNHzkTQOj7e1tFhcXOXv27GONzmg3YWtNEE9Kem7GLx4la/E0EGs2su5Tqla55CqM+mFsQmRqBnkZorI5Tth0mRj9Y6rRFOcz/YwnB5hdOskb8d8lrRSJhLdpWGGstESMN/GlTcWBa8oHHOMgJo/GsY8rzIrFIteuXWN4eBhVVW8Js73XhMfNmD1vNBoNbty4wZkzZ544mOO5sDQr6OqTpLLQNyzJbwiid50yKTtfigJLc4LNJJgZbrkUju3p+0oLSO8pTRze87d2u82NGzc4efLk/ueo4UMAcsDs1L8HIDMZtITCoXFJYUuQ7oZ0tySeS7JwI4Z2Y4Keg6Oc75uhtGowObbIe3/1ItetK3zhegozZFFuRNm50k1MuhxbU7CdCZazq/zwoOSntw4xtN6ge6PJ28dPUMi9Q7xWoxYMUtJtejdaVDPrvH+kQo8c4AubJisXexjQBV/IqojRASYOnCLvTJBuKJR2Olnk4vb+Ygs615NQKPTQz/Tdge293+8XOFBV9dZarNVqZDIZVlZW9hVmQgjK5TL//J//c37nd37npe9FfqmPPhwOv1QlhbuEti+ZBT5i5WMIx5F9R9htxN8ls3Pnzj1UONxzvCEFpRmgx9QXUg/byab5bL6XZ2ltjXBXivamDw6drNXNfiwa3CrPam/4BG0buxZ0zDJ2D3P3fxVCYxqNCzZevoKZ0+j+UvLe5/ZvpqHVx3+du1HDpaUljh8/ft9Swt2N735Zs8cVZnsvLE8qzBzH4dq1axw8ePCpes0avoUX+NTcNr4MSOlR3MDH8h3eLc+hKgI/kCw0tym5DXpCCY7Hh9m0yrzVc/Cxjt/3/Y7r0/g4kcj+U4B3ywrL26AGEAqBnU0Q2w1u5ZIQMXBrLrwVQS9UYauKFpLEf3kM3s0zOHcNty9JPapztZBESIu4sGgWosweK1EfLhL1QCoqSqSF7pg4GtDWQNGhHgM9ANUj2J3c7WhgephLOcJrfYweknzp52DicMDAiOT0WxLXhcDvuGyVyxB6BhMMHpf4dtfn/Pw88XgcVVWpVCp3rFfP8/i1X/s10uk0uq4zODjIb/3Wb5HL5cjlchw4cIDXXnvt6Q/+M4xdfrqfWdJ+2OWYx7nPLp6VacYtx1xFuWODs7lcwDAl2f7+W+M9qtUqV69e5fjx449VzgygG53ASiTaiW28EORdvGs18tfnOJMdwE5I7J00265gLhvhVb1GcGCG6NBlxuwe5uZOsXVmk82vFDnwZ9AXKRKy2xi6Q+GIz0e9UGOSBXOOTbGBS4jX+dv3Pq8MAB/E44uO3R7Pubk5JiYm7lvJ8LCM2YsWZruuucPDw6TTTz5Wpd3siK5WQ6BpklgS4qMBXgAfLKlEihI37KPMrbMcNzkWz9PwjxH4cLhL3uNQ+CDslsb29vbe32HTlZ31X24g1BaIFKKvH5kzEHSCBrEE1EvQldYZ7jfZXJGYrQRvHTyJtHdY8JrEFg9xKK4ymsiSa7eI+AV2Cm3eXOxCtKIcvt5FMhPmoy9U+X9/LU+3sobpDKE7Lf74eIREIcqhj7P0igpKkKZqbvIL359gLu1i/cJFjn/vFU4eGmWqf5SIGCDIjJN1AmLJADPcCZp0hSRPKwMep+LIdd1ba3B1dRXDMAiFQtRqtTvWaxAE/IN/8A9ot9vEYjF0Xecb3/gGH3/8MblcjqGhIX7qp37qqY77k8BLLbgMw3gpXKB2L5i7Nau+76Oq6p1qXVGRsa7OZk/tXJT3ktmDImD3Q2vZQYsrqJEXUwInFIHoCVgPL9NtdGMJwPY7WSsT9BxIC7wmneyVCbjgNn2o3nwQyW0fbjq3szY9yIHeUBAC/HbQsSbfg/J7TYQK6dfuP9vjfnjUvq1H3fi+CGG2W2aaSqXI5XL3O5RHwkAow0Aow9uFadasIsfig7xdmma2sYUV2Ky0ioRUE5C0fJvT8VGGzSwgqHpNCnaDktfgYLSfhmfhEzAW6bl9rEjAQWCysLCApmkMDw/f93jctiBqgq4IStsSNyKwnb2LAkiGWVjuCLaDAwJMFRo2queSmjRp5cvo61U+Oh7j7WqLQLEZWnEo1lTa/TWIt2lqQBsS+TRB6mZUIOyBAsIOIZU2hJzOWAPHQPUMlKpOqBYn2y/5O//Q5xf+uqTd6gw3fvsHgkoZwmFBX1/A+fMK/QPwU199suvN42Iv8QVBQKPR4K233rpnve4Ksz/+4z/mhz/8If/+3/97/ubf/Js0Gg0++ugjNjc3mZiY+IngekqY5uO76O4Nzj3uRvdZmGbsOuYqinKzr/j2NScUieG6ElQBqqDdbnPhwgUmJiaeqN91bbHzWuOpJzrkJ4I3rHPlxjJdAwli7woWwx7D7TbTcYOpv/028bVuKgo4MkpkJcREaol3Gil6U2uEetdQ8w7uQoSKC43YOvWwSbYuUEcVhkQ3baWbPHm6ufN8KMEFkHUC7YuPfcyP2rf1rEoZH0eY7eWnu9fr/Pw8ABMTE4/9mvcinoJDpyRz5yWLFwTJU6Bdz7Not8jrgvWdIlGh0OXUiVwrUp4Yoz8yRy0ywdaWwO+BPDB6M4tVcwUHjbs+J7YDpsHm5ib1ep3jx4/f93hE0wckIuxCqQmN0D2RtXAUIsstaAeIgRhCgUpR4NfCTIVHKK4IlO+9yefWfgZru8T6kY8JdIWexdMsFpMUeopEFJPLvafpng6Rceb56EwMdWKObNFAXuqiFWSpfuVtUsU07WjAUEHjf//7g9RH6lwelhz42gjHT34eAsnWliB3o4V4t044reGPh7Hm2kR9QfBX0qA8/4jH3vWp6zqlUokzZ87cY/yyu0/+nd/5HS5cuMA/+2f/jF/5lV/BMAyuXr3Kt7/9baSUPxFcLxpP0pT8SbpA3R05vCczEM2AokKzRFsJc+HCBSYnJ5/YvEFPqKiPE955Svi+z6U/u0a2L0N4OU6rVUXtEvibslMaaHPLzY6bPTKKCUIX6EMCdzm4PYtrD6QE2YDooTBCVfZ14Q716U88/+T69euoqvrYZiT3w4sQZr7vU6/XGR8fJ5/PP3bGzAt8/rxwGV1oJPQwWS3G+eoiV+srrFslFtt5NtplDEUhroUwFB3H9xgKZXinPMuGU0EGAaqikNHjFJwap1PjJNQQq/Yyf7n382xbdQ7G+xmNlpBKnVZlipWVFV599dUHHqPvdwLCiahLKOmhhhXC/QZO0cNvBoSHO4sn3cVNv3YF6hZt16R2w8eY26JsxShHFd4t17gedtFaUUq6xvoreWS0CQKyqW3CfW22Vj+Hp1UQMkCiQ6KBNG/Oy6pFIdEE08JvBQRC0qOk+PwvBqzuKLz3XsDb3xWoQgFd8vVvKEQiMDoiCALByZMBw0OCAweef1/KLqSU3Lhxg5GRkX3X4K4we+WVV/iH//Af8qu/+qv803/6T1/Y8X1W8KT8BE8muJ42w+X7/l0mTnd+Rs1IgqAFhS1IdXlcuHCBnp6eBwZPHoS7S8KeN6SULHz3GrpUGZI9VLUG1ckI3gJMjFwlFNog74zzzeYBvvonJr3DsxyyF1i/0o89NcCVI3O8MldhSXNouKBPJxm2HbIZl5TvU1APkZP7V5NI0QPi8YOB0DG0qdfrT1U2vhfPUpjt8tPdwkwIQalUYmRk5B5+etR1fe27AVG9zsi5FbxqhPB5gViyyRdDuIpL6sYasbhFeCpKxe2mq1ikP6zx3Q2NN2+sUuirEQy2CCldlOslFo5PEOruo3ilQevLOqtZkykhObC4gmbb2PEIswuzHDly5MHljzeTlbKvC7FVgK4mciQD9WZniPLEEAiB7NYR7QAz1BFbcbVBsLhF4T2NgUDH9E8ydmmF/kaUH+s9aJUBtptHmBsKk0sVuTa0RtQ7Q+rGNEfOj9EsSFZ+1mBiPYeymEMoDZx4H2FH46e/E0GqAd/9WpXuqQo/fSLLotQpLCyhfz2Ck2jSbuk0rq6gViVKbw/OSIyrZyNkV13GRp7P6KD7YWFhgWw2u6/L5q5Jz7Fjx/it3/otTpw4wb/8l//yL4Rr4UstuJ6kKfmTdIFyXRfTNPclM7amEa0aMtGDLxUuzVyktzf30AGB94Nb8QjcADX2Yt5iKSXTl6aRRRg5OUIx3GD0v+9l4+tFyvkWeODXgTadcsIwoEKgAWVJYEiIAhb3Oha2IfK6TjhnEBkx9rUtj4w/WW/a3nlbL9oM40mFWb1eZ2FhgUwmQ7lcZmtr65EzZnmaXGtvMhHvY765Q91t8UF1gbVWAQBPBiy0dvhi9ijbVgVD6BxJDPKD0jRCCipei4Zn8XbxGiOhLkzNwAk8olqIqGpQcmtIZZZvFXeYCn+ZmdoGN5oVXkunmb02y+jo6EOztSOTksCTtOZcZCDRMx3ycwoefuu24Orp3xUxSQjAnXepKwaK1yARbZI6ZlKc14hZESxHsNxXwDJ8hBVmILfA0eMfIjWXZLRCNFXBbke59MMvIRVA8TpiLulxc4wXxBykFVBLVfnTH6ho70r+8A9VanXB0aOSXD/0dEvCYRgYlBTyUCoLQqEXJ7YACoUCjUaDkydPPvB2f/RHf8T8/Dzf/OY3X9CRfbYQCoWeqIcL9rf6f5z7Psnm5EFiq1Ep0G62CBjGsSTXZ68SjpkcPHjwyZ7LhUYVEukX99lYXlrCXWxy6NwRsFxSPxfDrEVonPepOgrO1VGU9zUmvQD5pRqlrMf0x7/E+F/+D+SDJnY9wiUvzOjENQqjTfzFHpRowEa6RkQ9R0gkGJIjRMS9pWhSebSZZHdj77ytF21o86TCrNVqMT8/TyKRoNlsUiqV7ivM7v4KmzVKm20C2UuwkqSUaJD/3oc0PsizFZrijcUr1GayrL7yZSIRh+xyg9cVwTetElZLZcEX1LscZmSVI2uzrIoeJgur6Ee6sawi9XYf0T+fZVNqtH/5BDPAbDbK5ze2WCvUyWQy9PT03Pe1Asjhzl5DLKyBriEznRYHsVPqZMpaFkTD0K0jgTgweSTAXW7heUWGfJtizwQJK2DhwDb6xzkmf/gGqmwSipXZHFhhY8qgOPwGH+Z8RsJfZv5onZUpKJ3+d3gfvUK89hUOLJt0549STF3BLFl0tQOmT6v81v9hhyO/k6H30hoLmTZT7/dgJnWsNw2cdECQk4hhhX/9tR4GEXypX+WeKPdzRLPZvNXD/SBMT0/z+7//+1y4cOEvhNiCl1xwPWlT8os2zQiCAEVRKBQKBEFAKBS6FfG5tZB8B1Hbxk/2ce3aNCEjwoEDB554oQlVdEqjnqCn6UmwdGmFnYsljr11DGkLun4qQfWDJkZS7wgslY6Yuuk+iEUny+V2fiftm7fx93lwFxSpEj8Wwqn4uJUWieP79/88Dl6WeVt7hVkQBCwuLjI4OMihQ4fuuN1ec4W7s2a7GbOddoWv2xex8Rgny4JWZsuvU5ctIopBWbRwXI+J7izXghUuN1YoujXansOSlSerxdFVjR7ijEd6ielh2p7DkdgQM401eowUqshwLnGAgtPgz0trJLQwajFCLAgYGxu7ebQSwQySbqALwYe0WlFWV8dJp03inosSUUFKtFgnIhqdMgmc+xBDLkki6xEbrOF+cYR3v93mQ6uAOWwz2Q64Gi1QC20xNLhASG+TStbwhc/EwascPvU+Uqpszk+ydv0Ixe1eiLc6DWQqnV4uJeiUwbbjNLZiVOcFkSgcPyLR1I42++IXA770pY7I+k//SaXVgq981cN1wfclW0XJQM/zFfVBEHDjxg3Gx8cfuEHzPI/f+I3f4B/9o39EMnlvT+RP8PQwzcefw3V3v+/j4EmzY0EQIISgUqlgGAbhcPgWP+0+pu8LhNwknY3w3o+rWK7Dq2+ceuIglVA6xRwvylCvtJRn6+1FTpw+jI6KPGHgbHnwDYUlz0QUBhhSt7CHNnlNXUZJrbIchNh+7T22ShmGhqfxE130loos102KrTaDbWiNCMalwx+oSb6ivMEVigTkeUO+8dTH/LLM27pbmF25coVEIsGZM2fusQF/WMbMcyv437PRo+9RUvtwF3qRR22S/WV65y6QbS6hHrHJf63NcqCy8YdNpp2AfifPVqWGqGbQJ3s5ML6Df7yPRCzMf4qd4aSaIdu4hje/Rmu4G9+0Udwa1XmN6wfqiH6L+AWPN99889bxzot5IkTIyRzTYpo2bTw8BhhgwOqGtgWmAelO76IcHwTLhvC9AdR0NwTZLnZ6u5g822b47Rpr7iVyG3U+/mIFqccpJj7CjXVxaUonU+mnrkRwjH4+/rkYpg+aGSdjfZWGCDgw201+5Dy9qwpvrQSs9ZSIxnboj5T51WtXUL/+N1CDMFuf36C33cTrEcTOniH0pdNc7A/zrw0DgSQnAizRqSJal4J+IZ97deHc3Bz9/f1Eo/dvcJZS8hu/8Rv8+q//OgcOHHi+B/QC8VILrichtBdtmrFr/57L5Wg0Grfm8OwOe9tNs4d0lagboXrtBm1P4dBIjlardYdby+NAi6to8RfDZuVymfkPFzk4cYhIKkwQQOXdBuULdRrTNkToCKxd7DHEENFOX5eIdRqng/Y+T+BAe9Ul+VqM4p/XCOWePtL3Ms7bgo5jped5+w4WfdSMmbWe5Ls7l6j6Ho5jE3NNHNeHQBL2VQpU+b/N/y4GOkVaBLaDiU4Ti4RncDCa45q/juFCya2yYK2x1t7EUMNk0nGQQzi+ykb7OxyN2fSIV6jN5kkc7eVqY4HJyBB6K8BIVAENSReCG4SNq6QSBzD104R6DuHVFLTE7TUsFIEaesDnwNBQRjMsXpf8l8oiblDBT82xONBEJotESj2ceuMHhDQHz1eJRGuEwzWi8SZSKgxMXSeayFNsRztBgcDv9HRJBXQbhIZoGViVEKGISyQKqqrgC5/ZOcGPfghVz+fiBzqVokTVJd/6tkIyESBMSSwCxaokm3x+jLaxsUEQBAwOPjii/tu//du0223+3t/7e8/tWD7r2C0pfJyM026/79O44T6J4Orp6aFUKrG0tHRHtnyveUI8UmejeBFP8Th6PEe73UZKia7rj81PqgojUy8mqt5ut1l4+xqTA+NER9MEQqJ8v0r1sodxSdCXlSi6jd4ME+6uE4wvE+/Zwe/OsVr5IsNv/Uui24fRRQIxtEgQNCjN6rw6bBMpm2zikE6vcCR2jMvqRZLy6QMYL+O8LeiYfOVvDrO/e008asZMxJbgg3coNwvM5MpYvoEYlcSrda55/Ywtz9DzP/8+XmyE7WUH3w7ozxU5eKPOdsLh4OEQvrpKpLvIldgXGV78L2iWj5mMEu622DK+Qv6rSzR/8CHVqQZj6xFahSop7Rw75S2GelNQVymkCsRkjBw5ZsQMH4gPiBPnzeBNomaU1HAOYnsCv0LsK7Z2oSjQNwQiUKhdtlGLvSz7HyEqAyx3z2L2r/Lh2VPYyhCK0qatJKl0RfAMAxsFwxnhtY++yLl3fkDI0mhtpRiY+AaTNbBGN/juQZfj7RW+tfhLOL/8Pv5kntUzEa6eGKOs+QxEW4gU/BDY8bupSZWIGGVcHqEHiCFZloKxRxws/SQol8sUi0XeeuutB97uvffe47vf/S7Xr1//C5PdgpdccO2WFH6aXaB2b393xHl3Bo9lWbeiPPk8VJ0qGcVhafYKNXX1Vs/Xg5pW77Z5fpGwLItLly5x4Cvj5Lq6UcIKxe/V0LIalR81sct+J0tg0HErBBCgpEC5KbJc5Xaf1r6ZbQ1QAhqXW6Rfjd2a9fQ0eNZ9Wy8C1Wr1lmPlkzhHfXPnEr702GiXWLPLNP0ybb8JapKY5uEGAeEgSaltEygaXeE0I/TQrce50d7GaIYxNJOKXKbh2fygMo2KQp06McthhxDfqdT4SuQQH1UXOZjI0m/O09NYpdj9FXx1jfXWJvaawkGlH6GdQ410Xofk8wgtQl/ORmIjcdAS90bAmvM2RpeGnrz/64/EfFI/+wfkY+fpc6sMhCts7eSYPHKZaKhBJFZHNy1isTrhkIWks8FRFZtzX/0m5sVX8VApVVJUK91gOBCIjv1v2EZJNWhXbVo7BmvbElUDU1Fw2rBelVTzgrApyA35+KqPMCWZpKDWhKFHn/v52PB9n/n5eQ4dOvTAzEO73eY3f/M3+c3f/M3Hdj79CR4du1lzy7Lu68i5H560kuJJyhE9zyMIAgYGBvZkn29ny/fyU7mskM/nyaRcNtaXaLS2cd07zVoexk8vevPk+z4XLlwgfa6HrtwgMqmivF1HHo5i/NYqg3nBYibFQNpnzYoh7YCoKllrjmAtHsBRRqldP0dq5DyOKHNhTGO7IRgXktCiygfDMdY0j5QvuaRc5M3gDRqi8dTH/az7tl4ELMtienqaw4cPP9Z4gF2IwmVoNDlf72b8Rh1ruQnDVdZ+bgitNMWF3jhnW1tcVjKIYppm6wCFQZPMm23ars2mZuNMrLBdFSTjLVbXIvjlq2QH3qcaJNE3+1koT2Efm6e9bKFkBWJhnuKBOmf4Ggt+E7UxzUiQJggO8Vp9BDnQuWC/GbxJWITJizwZMrRpk9rH7WVrVRAKd4Z43w9eROV3c11smQ0Wxv4qO9UwwzMfsz00QVPvpR3uxTJbFHpTdFV0ygmBbUg8RSGf7ac5EMWO/TaHx+Z55XfHiB5cZF6NML5T4/9z0uGK8iF/dOw858QWQia4spEh1bOM7L+AHTRZUQfwOUNYVVFECl1KFCmpIBh+jmJrt7d4dHT0gbwTBAH/5J/8E/7+3//798zpfNnxUguupy3ZeN4uULtkdof9+03cPYMnn89Tq9U4e/YsyYgJng3hJJ7n7ZuC389Gc3e+wcO+ntX8Dd/3uXjxIl1dXQyNDt06t90/lcQuuEQPhQiutvAakgBuZ7k8CGoQBJ3vEUCLTn/XfpAQtCTbf1xl4Fd1YgeebpP4SfZtPSl83+fKlSuMj48/xH45oHMy723QXm3n+aiywLZdYdup4gY1dCEZN+sU3SptKYlpEVK6RlyPMmDE2Km3mWmu4igQC9IMmzEcw2JMjaARoWG7xN0Y6AY5w2aglaWgFUFWuZGP8bnCWQI/SSAbaPUWRc9ix32HRn2IeDNGKLR3bb7B/FyUnh6dsXHtjvlVBW8aW9SJN49huxI9qWJvudh5j3axTWNohv7ekzg7kj9q/5hF/RKBmqerews9VGb8wCVU1UeIjiGH64UIhywCCVY7xNrKGEKF3r5NXjHfplDupXLxLJhW55wGJrRNqGrYoSq0FPAFeILAUXARXJsFP9BASNpeQBOfo6cCevsUYmFBKv58N07Ly8uEw+GH9iD8m3/zb8hkMvztv72PffVP8Mywu6mwbfuxBdezGD/yMOwdT3J3sO7ubHm9Xmd+fp5jx47R19sFVPn/s/ffUZLd130v+vmdWLm6qqtzDtNhch4MiESQYpBISpRlK1xRy3qyZK8nmrJlab3lZStYV7JkSddWvLKlR19d2aL0ZJuUSIpBIAkSAJEGmBx6pnPururK+aTf+6OmBxN6egIwAEaX31m9pqvqnDq/PuG3f3vv7/5uRDOu625pn0qlEul0+trrdyJwuJkl0nWdkdHRaw3xvCcjlItQOxah+GKdrqqFbXhElwVrG1GW1h6h2J0mlGrmJ/7hn9IUPs0lRSL0LM6pOJ35MrRUeTFWY8JKMdpmIH0bpNxnKCtdtMqxO4xse7yTdVv3i03V3EQiQXt7+zbbQaW0tWBK6mSU1PMllt+7xExHBytSpW12jf0XK8zZGSJmjbWBUUL1EjLmMn22jfBTV+iJXWbl8zuY/MAqy/1H6PFXKRkazS+0MTKwxIvNT5PpjjH12jAxq5lcxyodsxWOL6UJNxucWxim5tXQ1LOkk2lem99As9ZwxgYwshvX7ssD5gEC82AEDbSxSCOQfBULU4JsSqBqEl+g0cQ7n4GNNUEhabO6ZnDsu+qkozOcndc4uaPO2lqI3B6Pyf4mXhUfxAmbtGy4tKUsFuMxynqAR16f5kf/x28w1xvl1FMtXBhR+auPzbFz7gxPl1wiH/coBixil1Q+276PUuUywkgx9q1RmhMh3tO2xo+3P4Ni64Quhym0LhEKt6F5KXJqnid1j37lOH4BbQ/Q2QJIJpNUq9U7Zmy/8pWvcOnSJb74xS8+0PG8E3ioHa77bXwMD14FajtjdjOKxSLnzp1j165db9RT6A1Dp2kamqbdke96O8fs5v472xWtbtaW3czfv90xJyYmABgbG7shCleeqZH8Yo7YY2Eq0xbW6lUVjOufZw/IgxoHt872CoMOVOcdks/k6f6xBJWZOsHhe4+gwcNTt3UzJicnMQzjtj1YNiG4DJSRHGKTuzlbTpJ3KnhS0mJE+NbGSTJ2DV1ImlTBUt4hFyhgxjLYyjytCgw4h2jOpwn6VkmFlyg4fka9Q1StHEVFo+RUKZcrHAz0sqHUcHwlnvaV0fU2vl5OEwgsc6SnifJEgPEnpwiHutCcx+i5MkHBjIMXJZCKYK3ZzOY8sqkSXR3LLFzUmHUqTA1bGH4d3TVRUgbpka9TF1WGToewTkH0WIByOYU1qZCPTGH3Jjnx8d8lm1NZa58mbmZIrbcTDK8TDBXRrq5bNtexqlqlUvGRySZobk7R1TvP3PQO6o6K4avz2utHyJWbQKuDo0LJD6ES5s5FmOmm7qiN+1mRjRovAa7hYgYchGVghOu0d0s8RWF6UaIoCsM9D47ia1kWc3NzHDhwYNuIeDab5bd/+7f5sz/7s7el8en/k7HpcL1dSrrXtx+5E66Xf99SMfc61Ot1Tp8+TV9f33WL6YYwhKqqBAKBOzqUb2Xg0OfzYRjGHe/f+fl5crkcjzzyyA1/X2ZVMvUFi+jOCOsXK+hrFTpOJiiXBe3dSc70eRzdewp//+exnAHSZ55mZccCLfoFjmTWUcMqIZ/N/5KCnpKgJVsn07KApbxAVnyIkmIydp9O18NSt3UzFhcXKZfL28qpQ8MxkRIcWxKNN94rZCySKx6rmS4CMkv/nz1LUvjR22xy8TjPGQkGnTl88x7pJZNLrc1Y3++nYzhNz2mbVDzLVO+zlFd+Cn30PFMMklhNsif6PMnLTxCo9rEoelicHuKA/zzh6Unk3CrWqTB6X5Ce5jDRiMKRnU9x+dk8bcoy+s4YC14bxYyFlSuT3siS3DWDeqKLVFISHLPQNA3DMLDrJgvnVVYLgg//gyWee76JA+d9LNsKVm2S+XSKysUOLk4MYhxb5+vxQTI9YfYtlDkf66UYNVFdUG1JdMmh/XSO1qZvsueVEh8+cxI9OEl7OozX52d5TzOYO/j+9CS75Rra4TRmwcd/vfIR1lZ8XNx1gB869yotg5M0OTq9no9uDxYv7OS034+c2cXjT7/CinqFsNaErY1zUZ5k0D3ILvXBOVybtcVDQ0PbPreO4/DLv/zL/Ot//a8fqvv/bvFQO1z3o1L4ZlWg7oaOeK/G7NSpUwwMDNDWdn98o01lKV3XCYVuLz27WbR6PU3k+ojkzTLk1/P3b/7J5XKkUimOHTt2wwNUT9ms/GUaK+NgbThoMQVlFbzcG+NQWsArARqooUZTXSrcXjSjCfSoQrDXoDpjETlwf47Sw1q3tbGxwcrKypa8+JshaUMwheA8knaghS+ln+fyxXmaEibCS9OrSzS3gp5YpS2SQSv7iPtr0NzoNBxc6cD2nifbZ6FZKuGaR9WJszyXpFNRcTwHXS+RMEz8Vo7vcST1+AId8UskAl/nqKXgVf20dCXx/B1Ib41UKkFl+u/QN3qIRg2EouCs7IVoB+akxUjYwSjk2CjHSc3FUFcjtJ/3UUu5OPE69aEErp5n7sok5nQLa2cnKH3gdbyRKuX+GUpPvQ4K2N1FfIZNQIWWjpUbGqp6XiPI7XlX270pkkolhGHW0HSbtt4F0pkWJs7vxVC4WlSogifQmjKouET9Fm6sjh2yUcMWUZ9CDg/pNVqB+YJwfNTh0gyMH4TRQYVAQKBrDza7talaeacGo//xP/5H9uzZw3d/93c/0PF8B1zLDt1PL64HKey0WVd8O0XC63GNkheL3UA5vFfca+DwZhu1Wft8vdrddmqstVqN6elpDh06hGFcJ3lddAn8t3W6Sxpn5g2uPB1iT73K7EUfrV6V1qYcLQmTUtggNnGQuaEWsol5mpaLRMM1Witl1puDOBQZT0G9XyJrTfhKEVKJVooiRPw+z9HDWrdVKpWYmppi//79d8zItXZK5icFK3OCagXauyULJxeY+ozKPnMBw7rIYkDDv1ChVVlg1s6RebETsXKEWmmSiyELJ18n8Jfz6EaY9XATa0o7kc7naev8LJeXHyPWdpL6Qpq1K034d84R+2aIJ500sa/+OT2FSyhamrlAHBFr5rTdT+5yGVHT+bsvJ/EwmDneTc7aQ7ORZXQyjPxmgOx3p/BVx1ipBtjvnEcXJZ47laDc/HX8fok7+yiJtTy55q8xV9rNTHqJTLqfLr2OUZH0nQ/QpDp8c2wXZ/pjqK4g810JqCmYZwTdlQrxpM3Kgp+Uu8b4dI6e5CXmjQTx3DHOdYxzsqOHbn+Wn5x/gYg9yPmVDgaqsxRTDubgKif1DzCgPI+9Z5LzPhf+x49TGi+TO91EQs1x3ohz+NROrHgXf/PYywy438MxxjFkFPMBs1aXl5dRFIXOzs5tt/vLv/xLisUin/zkJx/sgN4hPNQO1zulArWdw3WvxuzUqVPE4/E7Zi7eClxftLodrle7u/6nVquRz+epVCpUqw3+37e//e0bHDPnRZXKax6+Nh3PFthlB31AoX7uqsob4GVoaKW6YFeuOlsBIHubAblgtuuoIRXpSax1G0UV6LF7u30fxroty7K4cOECo6OjW2bkPEfi5FzKkzWUsIIiVTynHbw1/COnufz/DbJ26DIBM010rorbVKElcYbuMOSb8liBEmpYoDgallkDB6xoGqG7JFQPIwKG4uJW1oi3z7DD8dFVDDDUnoJgHbvip5yNEPCCCK1GPJDHQEVTS6iyhojNAg6amcc3voGavozWmsNa7ADlVcIdG/ha4lTO91ELVAmNBFjZeBy5bFKc7if3Q89QfPoE1R2LeANLUAzh+/ZOrL1zeIkC+KqN7KjwcI2ridKbHs3N2IoQ4DgNp0tVQdct2tuXceoGsWgeoUDQV6I5miFfClDKJ/jCl/8BCBe/VsdfCNCcbCO10EPABNcHJdvDB+iBRomiJyGXV3jiMEjN4WuvOvz7T/pRH6BaaLlcZnl5+Y4yuysrK/zn//yfeeaZZx4aKu3DjM359u3sFXmnDNf19uluWAznz59HURR27tz5wGuJ7iVwuJV92lRjrVarlMtlAE6cOHGDfWp5TSV2ziGmqGhGG9HzCr4xjdV5hVYy5GwfiVSN8sYRZosJfKFz7Pmub1BcjGAtWJwSAVoTedwAtEXrfF0zaO7y0y3aySgRKqLMUccHYg2U21PrtsJm3daxY8cemrotz/M4f/483d3dxOO3uppSQiYJybKgDoSqUNAgaQics9DxR2naV7P454LMaCvU+iST00d4fGOD+XoLWnGDbm0eqdTpne/gw2qOC08+R7hYJLoOJ1v2o54PcurR78MW6+x/9RXem07RtXIR3XYpNUcw7FcoReIUgj6a1haxPYV6IsKZPX289NgxLFfl4uAgpWiEQC1PqjOGrJXx5x34rjLh44KuTIn1RAXf99Rpf/UClS+0EJuvMtAXoCVmE93314x8fA7ntb38f3q+SVEPoVsWzsYO5nojDPU9w6kjnXTXd/ARWaIjusD83E7Ovraf2KxOwsvQVkwzmili6g6mv41StyB2YJViLYhaL7G7chHxJcHTu5+hNqRQm3mcy1M5XHWZZw+qPFZ9jvdkpvjszmW6Tx4hfKWP+mKK1O5FlnwaXb4J2pdqlJ00Y+oRemyF5foqH9Wfpkl5cNktx3GYnp5m165d2843tVqNX/u1X+OXfumX7qsG8GHAQ+9wbTZrvFuu81ulArXVjXM/xkzTtLfFmN0LtlO7q9VqvPLKK4yNjdHZ2XmL4Sv0VCi4VbKnqjBoI5MCigJ8HpSung+pQ/nqrw6NzFaF27eCKIKb8zBaNJyii3R13KqHvn0w/wY8jHVbUkrOP3eRkBO9FhmSUiJtiWI0sq3rX8pSOFWhcLGK0AVqPMt60wTB+V6KqxUuPvFl6pMbRItxaFtjPrBMpX2dklYHzUO1VZqSbViBMkouTCRQYzBYYyzoUbYVVM3CU0DVXMpKmYIQrMVM+qoBAjUN1RW4JT9nX3uC3a7Ggq9EV9scWtM6gQOTSM1CUyRCgi+ahUAZpIveuY4azaJG8yiRHCgFqpcGCOyYo7trjdKfv4/sJy6R/vG/wRlcgcDVvljBPLXvf6nhWW3eL+L6c9Z4KSXXsltCvOF0adobn+m6JBotUq+q1+rFFMUjGCyjG3UKxThhs0K53EQ1H2ZnKEvUq2FrFsm0hqtINCHxSY3mjjp1S1ApCMpF6OqSnJyF/k5YWJMMdD2453tqaoqOjo47Zg/+/b//93zgAx/g+PE3L1n9HdwZm2ISb7eS7u1s270EA6FxXxWLxTs2Kn+7cb1Ix81wXZdXX32Vnp4eRkZGbrFP9lgZ7+8s0ssuyugaHacNShWVVMAgMJahI2/jrbWSi/jRapJmCvikgt9/iapeRbM1MmqN9VaBXVVpS0ncphLnonWaRTsV8hiyCSmq99TZ6Pq6rTsFRN9NODk3z4Lh5+h1QUzbAv3qn3D5RYfXHY3CMyu0aTpaJUdl0uDFj/ppT75E//8wsGQet7tKKLTA6mI7Y6VpfLU0uxY1/q+jFarNeQ4Wq6wkv4sQMxxe36B3ZoNCoQ+95yI7CjaFpEqu3k5EJGlVLTwcHNcgkK6TjDfx/P+rH63k8pWecXIn+/m7o4+ycLAJxfWwdD+uqoHQKNlB6qokqNt4IYO6HqDcCo4eI1rawKAN59JxgqdLDOZM4l4/i3sLpMfAkTm8QJBT5ncTa75AMFGH3AInr3wvF3bWKPVL7JUqO0667EysctA5zdDMAsJTOHjkVbJT4wz3Jhk1knw5Pcy+/kl6By6TLQVZ0QJIv0N70yoxUYL1GBNLOXKZcS7ER2hei9Bm1fiKr5Mp3wR7O88x8uRnwYow21mmvruPqrbC+dHzZHc6HHE/jik1Ot12UpqPpgdYvzU3N0cwGCSR2EZJBPiTP/kTQqEQP/ZjP/bAxvJO46F2uK5XgbqX4tIHoQJ1P8asVCpx5MiRd5Ux2w7Xi2R0d3cjhLhB+ENKSX6tgro/g3TAyTtkwiVqWQduvjwaDREN82ra65b+SgrXV6U6uo3lWpjjCsGxexP+eFjrtlZXV8ktFtkRGsPOOSiGQvobRdSQgl10yTxfoLpkUXi9glXxcKIV5h95GanVaVsLU4mtsbT7AtneNVjoYHnHKno8R1smQlG3qUWL2KZFpn+JSCWCcMDVIOR3iCuCmvAoC4h4CnlPZ80WnJeSms8iv9LFR058gIhtkGuaoFhzWC91cXiXHzn2AlrTBpq/3qDuOSpCk0hXRwiJW4whdAehmtirPVirUdySjqKqZIMVNjrWcT/4MrWuFE57FlTnDadq8//rbxf5xvvipv83navrX0MjEwUNAY10qhnVb1Gthjh98SDFqokiFLKpNiwhUAyL+GILrMTxfGUyk71oKlhFgRO0Ucoa9XWFWHcdr2QQMF2cquBHPgTdbTr9nQ/O2crlcncls3v58mU+85nPcPLkyXdVcOfvOzbpbfeCN5vhut2+rtvga6uqesf5c3l5maWlJY4ePfrQOAA3iGSMjGwZOBSFCun3VvGuOLTZKkZbkcJlC3/QYWM2QUhfplUpcWpQEOtZYKOlnZghcZv9hBc8ovE6/m9rvDjkY09XllgQJgoWJ8IeH68KuhnC0vaiKXe/tHpY67ZyuRzn15KYew+wLhVaXXj5awrBsMSXymCeWucb4X7mV/J8bGqW2YTCYHoSiULs260cKr9CSPXjT4dpi+dYL7bSHFjnSoeP8ugsxlSEnVmbyNQO8l4XX9k7R0gN84MTYbSqhdZU5FAJUBxK5S5EwuMbHxoiY0kOUiUZ2ENHV4X26LMo+5K4usqgMcQvHP8gKUINtWTNQggFXXXBkQgNuvM5qloAHz7aUgV89TlqpkrnssFjr5TZ980Q7ZUiNgr/s30/mekQZUPj9cRZxvJJ8tLh/4z/v9mdmmI63MWRpTCjz2VYuDCDl67QkW6mqSOIJuusLBVQx4p0XtJ45MzL+BwfXs3H8MgUidYTmDM+RE2QOJDCUl2y5z2+NnUcWw/QN5VisjjEq10GCZ5jsegyE/XTt9GEo9uc/N6vk3FDNPlq9NhtFIxOLnSu0FkfwrbKHHI+SkyLPVAZ+Fqtxvz8PIcPH97W7uTzeX7rt36LT3/60++I2vbbhYf6L3szRclvtQqU67oIIdA07Y7GbGlpieXlZY4cOfKWGjO35lFdsDBiKkbLdR6OW0dUk8hAJyK7CJ6DbLk3Wt12IhmbqM5aBIZNOj4WY+1vcvgGDeSr8g0Vwk14NN6LgerTcXMS/DSaIN/mUtqzNutPJ0lNz8OKt223+ut/pJQPVd1WbdnCzrl4YYfzn52kx+zFN2Iy90cprJSFpwhkziN7pkhtzUVRrzoRFUgPTeHG1qn5JbK1wPqjZ5DNBezONOmOOkGliUIsTbUpTTDXTDXk4ik2CCj5a2hSoyxNpkpxhO5QkjWWRB3huixJEIbEtSWKB8u9Sab9Gxhll/REEy1jyyTLHo5p4okoaj4CGGCrePUwmj9KLeegqmE8r4bUK7BxiMxfPUmtvkr9yCnyWp5lQ1AzPQJCpS4EmDaoouEhXedsuaLRlxjJNb/8+prfq248rnf1/EiwXdDUBqWwZmnMzeygnOriyvwwtWKQ3MoABPI4gRoIl4Di4lSD+IIl6EyCpXPmxAFyzQ5qTWIbLiFXxdY9PFuhWIb1mkd2BkZ71yi2r5L3qjyXNrath7wbkZqtIKXkypUr9PX1bSuzK6XkV37lV/jRH/1RxsfH7+kY38Gbg2EY90V7fzM1XFvZNsdxrgkm3Sk4mclkmJiY4MCBA9tmTe8HMxOCcBRaOq4bo/QQchkpEgiZAVlEqvcuOjE/P08+n789i6Hkgk8QeSxANVMmEhDkLiokmvKcEjq6YhGO5LANUM8PsP7hSxxuO4s1100mO0CpdpFKW4qYVuHJTI2Vlhir4TbqgXkGnHkq6/uYWZ4hXUvftWKwoigPVd1WSkJSCiKOw99NzVHvGmLAMHnluRXCSZUVN8TsLHSsXKJleYng+jzfUwuhlidI59vpijv0VouEioNY67uoG2kSpkpwYx/u++e4klcZL15ALDzBqtVJxDmDz4Emr0o1cgptvY3VHTH8ukPRbcEvJIVcM6dbB/nTj63gNxY5XPCRPHeE1qPdtJenGT62QdMrrax1xnhhZA8+S6FPuDSVVnBNj1Chjj8QJO+4RPUS/pzJguGwSykzkP0zAqdtSnTTPqPwsa+2kK4WCTlFXhuqMaW10hlYoHPC5dWRHiZ2t6C7Nu1zqxQUg7H5GTaOj5MMb7Dz0iyPv/waq12t5Fb6aM8UeaL5eTKXWpH+IiW9SDWbxqnrpPK7mSp8gGHtLLJFYYkBMl2C2Hu+zcLUTs4nO3h/y2exaiF89TKGvsrJjxTZuapiN2VYMmxKIkYTHnn3Efx6iTbPZYlVLGOBkZlONrJ/Ry23k5R26Y736d2I1GyF6elpWlpa3hCDuw1+53d+h7GxMT760Y/e7635UOChdrg2I1dvl0G7ncN1vTG7k3eeyWS4fPnyAzFmQnC1nuUmZ6ieQTo1RO4SaM0NSt89YmlpiY2NjVtEMq6Hv9+gPFXDytrUsw6Fb5Spz7lvyL1vimKo4B/Q8A2Y1BdqVCsuctPZ0nhjtXw9VJ2WVDNDve34d+pbFlZvJfyxaXgNw+DChQu3qDFuTiZvZdTfrXmovlsNfm3VprpkgZQEek3M9jeuQ3XJatQYVV3SzxdYiS+g/V2EVKpMobuGV4P8+Rp4YLZq2CkXauAZV8+pIYmmWjA6yqSfeo3Zy7PUDq6i6UXiTTaaW2PMK5OthpmKWESaM9g2JFSNrCfBpxGwIjiuxYqvRMaJEfY1k7KXsLQSKC6Kp4Lq4rkGeU1wNnaJQMiD1UP0b+ylPxAntWrT7P1v+Ppi1GZSWDODGM0DGMMOavVFzOYiwX6F/IUSzuTjxMavkDfSaLEunGQPzYs6XraKzxil5ewxZoYzjaI/zUNKCzwdVBfVdBGuiVloQQl7OGYRU9EAF5/XgS2y1GSR5Qp4pQh2XSNbC1Kv+Ak3b7CRaWH67FGWLx4g2LRBW89F9JpJba2HurJBsRpDS8zR3j1BJFij59E5Ln/mn5BL9eEFPDzFQ/EElipAc8kJQbimo9YFQmq0J/rZc7CXnQMuM9M2qZRDd3fpGsWpWCxuKVJzL45ZKpW6K5ndEydO8MwzzzAxMfGd7NbbDJ/P97bWcG217/WKuXdaNJXLZc6cOcPY2NiWNTlvFooC4hayXRE8C4WLeEo3Qtw7CyGdTjMzM7M9JS+kQlKQdlTa0mWKz9SxplyqUZt4Z5qC6sMqBpm7sgN7Twedmd34dyzhnQ2xWiswnKwQDYapDOZp8+dooZmJionUVA5qFr6eOZ7o+15i3nvuWjF400GORqPX7NO9KgbfK+o1MLcokcmlIbUiyGehewDae964Tul1qFYE9MEVR5BeXGKjXqT1jyd49XgZ/5cs2uQMBxY2MI/3IMOrrLVZDOprdJ/1sEszRBM2ajJIILPGY8opim2Pk/SlaLdWGYps4J+sMx1ooymVZLXTob6uMDG8l+ami+xenmPACJHcsYCXdXjuI2mM1cMo51Kk4mUQVZ5OJ7nQoTJyIoobWMYuL5JfV5nZ1Uw+toPFlmGmN/o54JcciOgMvLZM10aObMdBOnwuE0aBfPMqyd0+BvJVDiw9g1fK0ZZX0IVKLeKgRNdobtLwRRc4rFXJVFdZdBOE4nl+8tXneG7fMcxalehClWq7jtamMN1TY1m0ItqeYiSXISjCTMZbWBk9yN7zGi3xSWwty/LyI9RMGzOex+iK0L4rjXrAJWQncRba2Lkyy5ldzXQNTPO+7GkGyiX+Khrlx3LTbMw5vP7BEqtxBdO1qXlQU4NcVvsxxSpjssSaEmJceiS8EEe6Euztfw81Zze2tYRtrVGpRalbCvV6nXK5vKVIzd3Yp805plQqsba2dkcK+9raGn/4h3/Il7/85YeG7XW/eKgdrs1s0ttF2RBC3BJBvB9jNj4+/mCMmakQ2kouPdCBsKdADyGDCVDuzeHKZrNcuXKFgwcPblvMKBSBr9Mg/a0iql/glFz0ZoHtSKjTcAw00LvAbNPwyh44Almmkd2Cq1LbNLJg13+3H2qLNvUNh6gRvGO3es/zWFpaYmpqipGREaSUW0oR23bjwHcTjdR1/Y4L1vJUDbfWoCboERVfZ8P4Wymb0pUqtTUbza+iBVXKUzXUsEJ13sIuuEjXo7pok57foJhyUS9rVDI2lSn7amESYEG97jTomBrgh8oj57HCKt1z4zhDNoXhJNFdS0SLTRiiyKhewfPp+Lx1WpQ6IRyqOgybUHMNTN1hWZZY0uvYuoUUkrJWAQwMDSwBCJCKRDhBFCQ+mpkxsjhGgaHHVHxr7SRfjcMTp9jpewRrbpRgqJvmj5ZQlRaMhIZHG0L8JzSZgKaj5IMarf8gRtNKBH/8EbSAj8y581xq+SLujhDL1VfZrX2M3uAobsXGs0KklEu0Lh4i034Zt7CDklpkMBzG8CoUOE2X9yhVcZkcr7PCGWJ6jonZEXLlKG6gQDHTQiHTiT+Yv1qbUUG3DdCg49i3sC7vI5XsoSohYRuYwiPROo+Zi5C/Mo5dCzTu5aKOFvRQpKDkd9C0xvXp7Vcw6h6zRQfLMfD5fMTifjQNenq2Ljq8nUiNZVm3dcx0XadarRIOh5mbm9vyXlVV9VoTyZ/+6Z+mp6dn23v3O3hrsVlrdD/26X5ruG4WzbgXxVzLsjh16hTd3d0PrOFo/8gWf5eIgsjiiX4QLlLcW6anUqlw9uxZxsbG7hhJl4M+Kn9VoegFiFhVKiGNWi6BiFbpM/KszoySSUTRDmp4l4bo7Kmgpc8gq1XksE2xMoBRK1EyJC9E/awHVvAV/FSaa+zRVlnUKjSrCiE9dEfhj3Q6zZkzZxgeHkbTtPtWDL6XwOHakqBehaIG4T7ouyqWUCrAlbOCfK7R4D3aKyluuNRCCssXVEKXC9gxSdPaAuupOmo5xdPPpQlnZil+O8x83Ue0I4uZzxA9n2WjVyJLJqmIj8GuHImswvt2nyVT3UX9SyHGrSRrXd+gqLcz+77ztJs5wlM+dkwoXDg4TH+yQn1gkbX+Qb7wRIz1yXWefraTcuZJZjrPMDrxOk3py9QiG8RyFusiQIo43bFVhnxVkoNtzI7lWBBzGFcOUdrbiepzacqfZ0/0vQRUhaP7htEVOKIq0NbGkOzkt8UVdOUkR5tHKVsKA4mP0id1QgOd1HdFCO5ewPjmC+ixZtaTeQ4M+Nj/oUFqVppHL8ToVbMke4YYXL7I9JH3IcMGe8wYLfYoU6ll7J/soDS9QftZk883z+L5a8TWmohVAijNDm3FBYIFMGQZbwcYZchZfgqXK0SnB0hVJlFDGSodSSZamnjam2UunmG14yBR7yXalSQJAV3rcRYSzUhRQnHTTBsWVeFjf/2HeMy1MTDA28D0+TDNJoR0iYleELcGK24nUmNZ1raOmWVZ+Hw+lpeXt7RPmqYhpeTXf/3Xefrpp3nsscfu9Kg/9HioHS5oLJTfbhWozX1d171nY9bT03NHacwHARkZBLt4z85WrVbj7NmzjIyMbCk5becbzWS1SMPZ1EIqkcN+0MApOxReq2Kn7Dd2cMApQe7FGiigBGlkvhTecMputhkCVARaVJB9uUSgzyC0Y/soaLVaZWpqij179mxLJfQ8b8toZKVSuUGKeLM+73aGzptXECWVYLcPTdVxax5eTWJ26NRXbAoXKqAJpAvokrUv5ShPVnDLHpX5Oqpfwcq41BYdkDYiYuJsSuVvZggjV187gA/MDg014EK7SmhIIf30BO6YRzSqkRYlpJFBlGFF84jKMgFVEBUOOQkjakMY0lVs0lLiuuDodYoICkALLoqssiRAl43r4gqPmFHBQKHMDD5HpaA75OUkdkuE5OGTxGL7uWK8TLc6QjhRIdB6ETCRDKDQhZAfx0Pi65H4elqQHCdynR8Q3jOKqZ7BFS775T8km4zRVkkQDjro/qOcOg/J0iox9whGfwqRr7ND2Yvp+bG8D+FJl4o2SUWZJ+z68HvdLPgUnKLOoZHzvHDuMNlMM6uXd+H5q4zvfZmmYBmvfZaV1UF8/dPEu1Ywl/ppwSG3uANX8zDa5tj9xBcoJA5z/ltPQczBLatITxCKgKtDVy8c3e1yYQ78EajUGouZjg5JR8ft79XtRGpuvlc3Dd/y8jK2bROLxbZ0zP7gD/6A1157jVgsRjKZpK+vj1/8xV+ko6ODzs5OHn/88QcS9PkObsTbrVJ4/b73UlfseR5nzpwhHA6/IyquUukDciCa72m/zbrizfv61i8uA7Ubvjf6uJ901aWoxqm+XudcRkNcHuOwSDKUWMIZzVCoLDA49hrFySqd+QDRzjAL2WV8xhXqBZdqQidfT3Clt8rHfCu0IygRY0E5Q0WEedx7fNtxO47DpUuXGBoa2lah+E6KwdcHDjfFurayUWu+ICnDR39ERS/oOJ2ClIQ+IOnBhUVB3HTokMskHi/zxdAosa8s07FRZboWJtXuEF+6wM4/e42BkEU82E1/ukJhLUQkC3vkFdJDLlf2GWihOcKmjXRaWKk/TaU1SetYG01jzeing5R6qlxZitG1lKMSnqdpuouACKPlNNrrfuSFDWhVee/JE1jtX+VcdR8z0TChZtg7CzuEj7aww8UWm3XdzzAag8U84W800zrn0J+ZYWkSprtdCvNhjqsz7Oxu5+z6NLsHP07b7J/QE/4A6c5e1rRnCcogrbQyzDD/iDHStBAmjK9jnBE5AtffVh+Oo2bnkZk0gY89jVFQqbZUsPpjWMffx5EJh8zSKvlDIT7SmUakJbItizSGeSzUyXrIQDvXyteVZ2nLnWL+iXZa/qaP5rUaU4MTdJ6roNUjeDmd/HNRxNJhNnrT+ELrlAfX8GhFLdSZ9Jk4msLoyGVOdB7jM/2j7K4exzKf5QDfos8nGbcnGXJ9rLoG85rLAW+YI94B6mRoFlkEXiM4IxJIcXtBi+1Eam541K5zzDY2NpidnaWzsxPHcW5xzD772c/y2c9+lng8Tjab5amnnuLf/Jt/c+05Pnr06N/LAOFD7XC9ExHEzX2vjxzerTGLRCIMDQ3d13HfNIQCxvbRv5txs0jGVrAzNlK+4XBBI/MYHg9gZRzWPl9oZK8MrtVnyTKoUYFbldywrtikE958aWRj+P52E3+/gVvxKJyrYiQ0fB23OpD30m9LUZQbhD+sjAMhMOI3Phqu695CYywtVinn81jSpnLKwck7SFWiRCVGp4bmGPBXGt4VcCvgboCmCPwDPsqX61ir3hsZPYdGVq/qgKI3dCDCjcbQzjpgg/BA7xYoUiHxRJTokQBCCmrpKPW+Chsjs8wpbaSdBJYWY0PJ4Yar5AlSUixMLFx0NDxs1yWgquSFiyWhVWlcogXboEWpI1SYoeEDK7JxacIKKEiyuHQJMDUH24WEHUJ4Z9nX2kreKOPTsxQPp0mofdSUSRRZQfPeiye6cVnDxcCQP4DKrRFgVbRgFA4SpZNu3zD/49tgt0qePN7gmTZFoTXRQWcb5OwAWXeZetmPEkpTFQtMLueo+cvo7X4URcU0fezdmaOltEJek0RNm6XVPkplP6aUOF1FmntmmF3rxq35qOkKPftewXf0G7ir3fjOHqO3Z46idOjqnUcsDSANr9FIuSyQqOieS2ebRygAM8vwxAGFR/drjPe/tY2FNx0zTdNIJpPs3LmT1tbWW7bzPI+xsTEmJyf59V//dfbt28fAwAArKyu8/vrrrKys8Md//MffcbjeBvh8vre1D9fmvveqmHvx4kU8z2P37t3vDO1UXC3qvQfcLJKx5dfKFEgXqb7hcDUXayR2SOqq4NLfQIttsRrTiHXP4tYVWo0yc00tpHbnqVzpJnJBQ72cQ/yjWVgt015wkWc1jvbP0iUTXO4dJyyW6SaO7bUSU2KcECdopZU+eWu27l76bd0cjKmUoFKExE0+seu6tzhmq7ZLtm7jFctcXi6zKjXMaJXAjKBruo4VCzB7XuNSbxinmKTl2y7OoI15QkG/+Dr5lzK0hBZ4wnB4YWWAjOujdXqdmK9KKFZmttci+VQv5pLG/PQ4LYlZlg4P8ETX3zJU30G69AgZ2UW0Z4yInkWZH6XcWuN0ZIjIiEpteR2RsxlBYuci6DWNoUCGbjvJa8H9eFaS939thuMvLODpKl9oh6lAjJ0RwUpsjLUL++jVL6PJAKc76jy+nIFLMebDJslmje68R8FJ0N+5QNj/DI97GpMKHLVfwTu3xkRXJ+e8l/iGnuJ93vv44NxTdOTyJMan8CsfJqhskeWNqMj+XuT4OB2PjKP8rzTyoqDWG0RHh5BHfLiLWJ+BlFVE5hyyMAwJUM9U8OVKnFq08Io7+MirNv0VnW8+9TrV5jSDV1yE0UHJ10U8vYxdnWPRS7FWaubKh5KEpqLseGWIjqSO9C/yjSPzPBevM+u4xI0oybYgu7xJ/LZOi+oiKwpu1GCs1k97PU5clbRzBZ8YAu0wUhu6tfzkTWBzPW4YBhcvXmRwcHDL3n1SSvbu3csP//AP84d/+Ifk83kOHjzI6uoqFy5cYGVlhZ/7uZ/jB3/wB9+ysb1b8FA7XHB/vbjebIbLcZy7jhxuTq5SSnbt2vXQ1FBsimQIIRgfH7/tuPWYdsNDW1uxKM/WsJIO9Xm7sWI3eCNLQ+O1L6Hj1NxGjZdJQzQDoMAb9MJNmGC0aFSm67R+JEZw2EdtwUK5Tbe+N9Nvq75ug7zV4ZJlqF/wcEoqzppOuD+IkXSor9lIT1KrWNQzNvWSjVNwkaZHZdJBuiBCVxs/ZxwcKamlalC+KpevAztU2FDAthvnyQAUkC742gzqto3QIHw4hGEo9P6zFsyEQaC/EXHKvd44eX17ukgQJ8c461zmCn+FJECX3MtFeRo8H47nQ1OXyAtwPI2sAEW4BAUs1qHgCLpMQUVKig4ICZoCTQJCwKrbuKT5zVveTuAvj1AyTlHwr+DzdFatDAFexK+8hEoRQw2hqGU8lmnsHaDOV/C5H0NIAymbgSZMhlCJoK88gaWBNghjQ9CaEIirMpcDPY3GxVNz4PfF0FZjfOlVQUd7nKH3fA41vozfk1jSwRYpVBEiago8itRnxokGcxx7/G/J1v3ksnFSqS6em9pFpRwl2LZEyCyx9srTJEbP0Nqygh0sE9ddomWTVCpBUySP5gp8QTCbBMWiREpBe0Qh3iQY3QHf86TGwTHtgT3rmzK7twsmKIpCT08PL7zwAgsLCzzzzDMEAoEHMhZoUI4/9alP8fnPfx6Aj33sY/z+7//+XSuu/dN/+k/54z/+Y/7Tf/pP/It/8S8e2DjfCbzd9klRlGutUu5WMXd2dpZsNsvRo0fvqzD+ncIdRTIAKVpAXGd8UjZM1yFtsXDC43A9R10TePUA67UEHUNXWEsfpTkcpPO8Q/vGWWS3jldX8afjZHtcav11+vwbxPFIpyJ0hgMYHd1ssEGXFIzKXVwUFzHl1hmBxcXF++63tb4kcF1IdNwYlXQVlRkjQFZA5ZKgU2tndacgpVlE3Ar9zxi0FfLQWicefonmE1FmUUitt+OzNgiEM+w4bRNavkJqEcRZnYg5hdrrUdH7OV58ARkqEexew45InHKdUMUjHQ8R31FmZXwP9aZ9HO9K0bf732IuJOgY6qFDCISbR8gE3vBBsn06/cMWeqVK+TeWsNwavgMu2qlm7ECFWqdkmqOELsS40hNgfFVFlFrwqzY7m85wYjzMY6qLrCUIRYrEHAPL8+gvDnN+zwzRqSas7GHczCnatTIdTY8wstLLKf+zGF2T6LU6U+oqJzpLLE3ARu8UobkwwdmXWT7xDdYfWact5qG4X2A28aPsOecj7sWZPm6SEF100IEc3AVO4/zLnX4wFEwa11p2N/4Xc3Vk1MDZGGVlaZpgIEK1qYZzcgqj08AuxpmPd5CNTVM3beb3uSx9MIZ26iJqtsjxF1eJVA0u71vElVOs1CTdtkbNLFPpn8UsCx5dCfGVQ2X2XDzLk+fCfOH7FUItIcalSVSpMecPMp52UITNUK2TSksb/aJKRBtGao8jxb3X8t8N1tbWsCyL3t7eLT8XQtDa2sri4iJf+9rXuHjx4gPvQ/tusVEPvcP1TqhA3Ysxm5mZIZfLPRTGzHMkQm2cn+tFMrb7G/WmG28hJ+9SnbMQJkghMdoF1oZsOFEeoIGiQWDUJPNcsZHhMUEJgZdka8EMoJa30Tt1KpdrtH0gSmh8a0rh2trafffbqszWKZyuEjnsJ/NSEV+XQaC3MYGWF+qUl+ss/7cUVs4jst9PdbZObdFG6CA1SW2+IRCiREHaIEs0aJMOV1UaNdAa6noyyLXsnloBNwhUPBjSIedAwIO9NqXHMoiKjuE3kH0e6pBB2r+OqZqUklcpI2MNsYU6Lj4CHOTjvMIXCfEMCTrxkHgYJJUu6o7HKou0C8GaPcqqkqdVTZGXDiuejSFNqo4fR62jUCWED9urU1M8PA8sz8AvBeWqTk0vE/JsVriCoXsMqw4dxixl6eIjCYqBFAY2AsE0mtgAJMgwnniVuvCjKHEuVOogd3HQtNBELx1tHWhXH5UDu9+4PlLC0mqj8D4UgEoNwsHG60hQkPA+iAh+DYcS64TQpIVCACFsImYFC5t2DJo6VjifbqKSb8KtmxSzCRRVYgqP5t4Z1lcGKWXb2DFygZGj32AwWCI5Pcxn/+8fx3IM/IrOnmGPckGysiFpb1V54oBCd7dgfFxycExFysZC6q32uWq1GgsLCxw6dGjbxVq9XudXf/VX+cVf/MUH6mwB/MiP/AhLS0t85StfAeCnfuqn+MQnPsEXvvCFO+7713/917zyyivvCM367cDbTXnfdLjuVjF3bW2Nubk5jhw5ckfK0DsN72phr4JCOp1menqaw4cPb6/0K4LAG+JUouiirFvUVQWf5+L0mEQWS/jrATYWO+luSdLpW6Y2ahJZXUZbcskf83Ha62akskrTusKFdod6r0FEsQksx1i1o6RYoyp8zCqrjCHYJXdtOZx8Ps/k5OR99dtakYIJD3pcWD2foVUvo442aFdLVcFGUjBz6iy1z4c50RvDd+pb7M/M4bZ7bFjHWE2uc3jpAntGXqGqawRe72Qh6qdWc2lNO6y3txHr2aDl6ApdUbgw7MdXK+N/PknTwTnqQiH4HpVqLY8zr+PuTBDSe1C1IrHRNlr8PlQxxPJ8GNMEM5ls2CdjGNNUUQIK43oZ5zEDe1FjMRrFazEwQybrtkU8XmHlUBztL+qY7QWaVBd/2wEuZ5uodizSt3GQsF5Fzh3GwGZH7BXCRgHF2kEiu4yRV/DlJQuhJGLdTyQHqaF1vjUQYGXA4kSgRMf6Agdf0umeqFDdaZE7YNKTdej/cpm6XMeq2NTXHVx9gZf3f5aO5b1kO9LIUgtJ7z10Zj1kZ/u1NjZy/Ma5VaxayIgCZQdR95BdOmJWIAIqbTsGmC3nOXQ5QyUR4/V4ir2dE4QvfhDtnMvF/v+M8ojEXAlRnvNxxe9QinuEZ/v4h59RaVurMNt7msSag/AihFJR/vGX/Ez4M6z1/k9+zF+gtWzS5bNx/Dvos1WIrBMr6PhFF3GlGakdQSr9wHUNKd9CeJ7H1NQUw8PD2849Ukp+6Zd+iX/2z/7ZA3e24N1jox5qh0sIgc/ne9siiFJKhBCUSiUCgQCqqqIoym0XPqurqywsLDwUxgwg92oZLaTg9tS5cuUKhw4d2rauxMo4WCmH4LCJUBvnIDTuxz9kMvt762BAaMxP4WQFp0jD4XIb/2VfKeHaNNImNfAKNO7GrZieXoOOJwT4+m9vpMrlMhcvXmTPnj0oRQ1Plyja1temumRRmavj7zPQQgq1JZviRJW1L2RY+oyLFtIaTqMHQlew1m3sokt1odFbyt6wcfINJ+QaJbBCQ1zCaeyHDqjglhq/Cz9IAYofcBX8owoClUV75LMAAH52SURBVHrWxnXrhB4LYJZ8xN4bIdhrEN0XQO0Qt6gx3k74oxJJ4/nrnPKdIBWeoSnQiaN6ZPRlPMVBoGCRRyXIunQpKDksWWbK03E9FRQLqXsUJdTrkpDuw/EEBUeA2pBUjwmJQKFSN9BsQdF2EJqkhwCep1GXdXTp4QoPITxM2inIMgYOGoMgkg2uJEVc9WXwjuBTIC+foSQ8/GKKUNMeajVJqdpDyN+gvaUycGkSRgegVIVwCAZ74cos7ByT7B6FsqjgZ4gKU6gyQkWZQKARYBDFK9HfM0/erODIKsZGFCvThpprJhbJU0y3EUUy//L7aRm4QkvzCt5SP4FAHlWTGMEyjm2yPjtMUwsc2VdHMwWXZh0e2esxNqzQ0w57djSm1G98WdDTByO73toeJzMzMyQSiTuKA3z605/G5/Px4z/+42/p8W/GpUuX+MpXvsLLL7/MsWPHgEYDy+PHj3P58mVGR0dvu+/y8jKf/OQn+epXv8r3fM/3PNBxvlN4uynv0JgHq9UqwWDwms3aCrlc7tp8uZ0A0bsFp8QpPOGxq7SLs2fPMj4+vu1zUClBalXQ0iEJXGUvy0Ef7oCJ9ukkVZ9CoN+gUgwQsDawgkVyGyZO1IalsziWJF0ViAnJ4fIJ5Jig6irsfFUnb+oshTVMt0q1dhEhFlHkXiIycGsN8lVc329LRpuoSvDfZtukhHlXkKhLAh60rC1hr5rUXrA5F8nTZq/w/EoU4/AMwWWV3qUi83WLrBqhP7NOc/gVRG6DsFhEK4Y5f2ASR7STr6pYoSpJ6Sd5oEpwKUd4xU9JDVB7aoG6lqepx6P1QpbM6m5qspsOOU2xbGIfi1GMJgiZ3XTVW+nYNYwlhqjX67TfTLffQvgjWNGJpE38dR3DTRJqnqNEK/PnAwREkZWgQvSkSam9SPvqOkF/kNWyn2R8lv5KiFC2A9+qRptSp6Ks4w8aJHJVvPCzyHofJdHKRixFsWhijbq09GZILoVpVy6hhCIs6x8heinFwIUk/bPz7J8RLK938o1jOXSrQnPTMGcPLBB/xUBfcvnoF6vY+6aRvjD58y/TJZoQF5JwfB+iUEU2NSPHrhbn5h3EsgU1iSgqyDYDYhraokW3vw+5M8TqgqCmHSXnP8OHvzJFPfQlCgttLI0cojz0MnrUI+OGSB+7xODJIU6On+S5D8N7nnNZ6PDonPfht8agNUksNMf8RhKtU+XUUBm/1UbWChNcXeJST5xw6Cg5I0a3vIyq78Y0hpCiG6nuBUA8m4eQgjzy1j73i4uLaJpGx3ZFy8Czzz7LqVOn+Ku/+qu39Phb4d1kox5qhwvuL8N1vwbNdV1isRhra2vMz89fUye8vjh1U87VcRxmZ2cZHx9/4BHmtwpmq4aj2ddEMjbTrZXZOooprinuQYN659a8hjhEXaIGrqMVLlkIDYonKihBFSfPjaqDNjjLV89/09X35NVtNqXjuXF7rQVkFfTw1lGT6+u2mpsSlKdq5E5XiD8RJH+iQuqreXz9Bs3HwmReLpF+toidtahvuKg+BaFI6hkHa94DFUQTyAoNBpx5dWy1xvi0DoH0JJ4FSgCCIybVaQsHec1hVP0gA+AVG7+rQQVFFwgpCIz4MFtVzB4Tp+iSzKXx2zqjP9xL6Xwd/4BB+0feqGe4k7N+vfBHtV4lb23wspIkqyTJyySipiFVhQXlMoncEL5wlapaoKKmcaQLsiF5qHoBQFK3PVDAseI0Ky2UmaXmlGmr9qEHljGQZBwVn60wGi7RJCR7ND+mMFiumVzMtRM08zwSgU7th1E4j6HMsm41E1CjNKltSBnAlq8ixCotRgTd6UB4zUgtyfKKy1rKIxYpMNS/gCI7qdVaCQUgW4ThPtjsvjA6+MZ50GSEvPI6HhZN8hBlLuBRQ3EjuOoCkWAGpEEm00yfKziXTdAaW2N9o4vevkkU22AlH2Ph1HvQygEi3bNU2pdZyzdz6lsfpB7S8eIuIgK5okZvCH70uxXicUlfh0LP1QBYuQTBoKBUeGudrVKpxOrq6h1ldguFAr/5m7/JH/3RHz3wJpIvvfQS0Wj0miEDeOSRR4hGo7z44ou3NWae5/GJT3yCn//5n2fXrq2zAX8fcD8ZrvtlYLiuSyQSYX19nVQqheM4KIpy2/5P09PT9Pb2PjS1fC204DjOLSIZa0sCz4XOvjeet1wa6lXwXKiWueZwNXawET5J/PIadsIgmZE4tkt7vYKs+QjEJvC1vU6tHMdpi9G7sUGpCXyFJMvjTQTDKTqyNmktxIrpw2cvMKNo9AqHFjGERCJu8rpurts67wkyOTgYliyeE8y+XsNrVdgxpDPhFyinpyiWFf68HKQ8rvDe175N3LLoXp6jVoMzQ+/H86YJf0thI6rgLq+xP/AK6aYmhP84qrqOEZrAmA/Q3CfZEcpRjQRpVxeYiSaYTI9w2D1LOeriD5dp8sKMLxcIDm6QsY7ijJgM5Qymdut883gPTWsFnjj+Xk6qkxTUIB3KB4EG+/1uFIOv1ZdVa1jFOr7PL1GsSZbnfQjdZdyuIqe7yHV5mK7CaV+EfTMW6yGH+EqQkdgCtj2Ao1j4mmYxygsk2w08tw+72EJ2rEjqsSB8bZwJL8xg92uU37vGyW8fw1P6yGrNLJs7WD9YZ7Tpmzz5R19FJCWxgffiKpJQ7xmaBewv9LDxVITEYhd9nztDQrGZ3LdByBhAVwKIShWupBFLdkPmt3oJWmJIvbnhaCsguw0INNYpst+Eq9T/cFRSO1GlKeNiPx0isxbFC5n4Ep9njzPN+dUR1CGVWO0yjtRYGhI0ZaOcPpKlYrg88no7JW2BQ68P8+WPTDAfrBPNtvO+rCTV0sJfeyqvdK5zLN3Mjg4f6JKg94+wdIOSGGaQN0oshCehKreMb98vbNtmZmaGPXv2bMu+cF2XX/iFX+Dnfu7nSCRuL9bxVuHdZKMeeofr7aJsbMq/79ixA8MwkFLiOM4tykGb2YdsNouqqly4cOFaYe/N/Z9udtLuRnb8QcI3oPPaa7eKZDglF9V7w9FxCi5uzUM6EN13qzNZOFOleKmKr0sn+1rlxqbHN/15ig6+AYPqkoXM3fr5JqQHrR+IoEduErOoedQWLebtGVRVJVHoIP3NAsWJCsVzVaZ/cwW37OJ5EivtsDxkoBkqlTkLt+DibtL7XRABGtkqG2SWhvMXpkEZLHHNaXSKEl+ziq26SAtqCzb+QQOn6OKVJKFRH74eg+LFKkJA7NEwRkwjMGyAJ3DyLuE9AYQiWLmwikyVGd+7C1/CJLIriLjHVhTXC3800UQHHbTQQgftTHMGDZN5LpJzk4QTQTrdQ1xWX6FOBekJXE/D9iSUA7R5LWTNDI6l4fN0WjyIqyNcsuqEzU6MjUHM0Hl6VJ1cVUc4JhXhsWTV8Pmg5AyRsYZ5trLEibJCi75IRITZ7/847aKDy06Jp8Pfh2NHmZr/n4Qi8wy2P06HMg6iiiOXqDqzaMpeYk1FSjxHxm2nv+MH6Onc/sSYdKDUe3BZwDQ1TK+VurKKEAaurYLQiSgSqxxluZjg+PhZzk2PcWj36/h9FeJNadL5GOuZDqrJblqPPUsdlflvP0E+3Yqm10GBTAFW16A1Bn6/YKhHUK6A64KqQjAEXX2S1va31uGanJykq6vrjgGc3/u932NoaIiPf/zjb+nxt8La2tqWwh2tra2sra3ddr//8B/+A5qm8alPfepBDu8dx/3WcG1mre8Wm4q5PT09DA4OXqO+b6Vul81myWQyCCGYm5tjdnYWTdNua582bdRb3a/wXtHj9XDu/LlbRDJqFXBuoqKn1wWaDgNjtz6DyutlnNdqeL0q3osSWakSs9O0GAuYPoW8f53gJY1Q0zqVAwlkRyspX4HgaZVYch2rGkCMVGmydBZ2VPDCA2Q9nR3m47SLTlzpol1dWkkJU1Iglhp1W61Nx3n9eYWKleYZW/CX2QL95w3CMyZKPM2FR/JEOgoc/q8lQl6U7s40ckZS8CsE5Rrh4CodcpW1rOCKNU6fusYLw6O0rqyR61pgZqTK8J6X0dUmjG8GcFCpuqscIII6NoN1xWLOPMQusYfOniW01RLGzmGE14m6owUdWO9oZeGxHcS1HDOVb7MwofL4B/bj021G1aeoi/rWTJTb4Abhj2gU2oF/2Y0eXkWb9liupwklm/BNzNLjk2T27sL49jrCW2dPLYhqXkZac4SGs9i5FnA2cPo3+ObAMQLH0sTyfsYvGRws+0h99zznJvqYN2HHdJX+VYucZSKCBRZGBF1xh0N9sPH4ABUyMLBCouonfPBDBA2Fqq/Ak7s/iPGRdlTjOYS6xI73JJCh/ci0H++JJGL9DPJoL9IXhm/9HfNjOi3f9X3427afl0NRCPe5KCse0sjTX9zFpcEk5e5XCZyNsrq7xitmlf2+EH/7g7O0izBlSxJs72D/zBn8JcnsrjJn6rPoVzpo6pykyUjTdLmNr318HONkL0rEYd1TGRrYYEBpRlMqxHmEgihRkiVCV4Wq5HgAGXprS1xmZ2eJRCI0N2+vNPrZz36W9fV1fuZnfuYtPf7t8G6yUQ+9w/V2qEDdLP+++R26rqPr+g39Nmzb5sSJE/T09DA6OrqtrOv1jRBvlh3fzjl7ELVg24lkRPbcOJGoYQUy4Ovauugy/mgIz/LIvVZGCVRu/PBqzRZXL5lXa7ynGgqO5jW0ytO3fqfZqhHZF8Apu1SXLPzdjWxbbdEiXdpg+UsbtBd6WC6mQUjqVYv8qxXsJBAGM6LgVaH0igXhRt2PtylBf7XWSjaB1qng5DxwwdelEuzzUV6oYysOrtIYt1BACakEdAWtWcOreSSejGK2GxhxleZHw6ghhfW/zaH4FTo+dqP6lp11UEMqdafGyso8e57eTUvL1gpd1eU6lRmL6P4A2m2ye1teA9oY5zhP8kMY+HmFL3BC/Sqm6qdIhiN8F2f4JlWnSnf9OLPWDDaCnvB+Ri1Y9D9LWLF5n+Zyphzi1apF3F4jYqSp1iVNosp0pZeBYpzZxBmSrkmyarOSCVDW0lTVDDOWRd6uYik201aWgcLT5LRVfNpZjvoeJb1+nJA5hC4PNEQxJAjSDPSqqGxQ8+CKPYHiBcmSplndXnESoLDwOHX9CsGBv8ZTLAzaQLqYIkbdk2Cp+IIlRoYLzC3188TBb/PimUOYwSrhSIH9u85wfsJhfaOd5NReDuw4zVw1hGHWCYcLpBSIBCGThzMXobsDejoa95LtNBwugJ7+t9bZymQyZLPZO0ba1tfX+f3f/32+8IUvvKkmkr/8y7/Mv/t3/27bbU6cOAGw5SJ8Oyrb66+/zu/+7u9y8uTJh0ZE6H7xdlDeb6eYq2kamqYRDAZv2Pb06dPEYjH279+PEALbtu+Ktny97Ph2zpmmPRjBmNuJZGzV2yvcBIHQ1s+g93iYVF3HnQ2TfTWL6SXxKWkCI69iO034l9rRejwUrYAsNJPPtRBu3aA6niXlhpHmGsnOMn3pGmc2+knoKhFfP636LupanRlm2CF3IBCsIXCLBb5wKodv+ihTER9t9TIfXX0JPa5z4PUoXnUD/1CRnvgqJ9Zj9DyzQfNaG7GBRer5RfxhQW44wrn8Lp7kWepNCtK7yPCSYOSQj5be50m8d5n6RpAeWabTv0rTt2tsmF0UdgdZ61sg3NzFodU+vH6DyOGPEwo6mNMV8NXxBj52jTLgAb2yEWvUHYPmU80c6RqkPdyPBOJwo7OVslkrLKEPRWjmHiT9FYWmp5uJ/oBGT7wH5e9eR/lrBxn3CFbWqT0eY/UFiFaWCB314dgmZ6w2mh9LENhh8fKzrVTjaf52+CSjhsPTehsvdF1iLrDI+sgwZkuW0heDWJaNDMwwoJsE0mV2LWUodZylcmyNgWlJclLhdL8k1Psa75n8YRbteaKZabpcDS+2B2HvwbOaGpHhFqBSRUYSiFIRaVQ5G51Gap3UxGJDQv5OaNKQu2IwOcPw9Bnm+vxMt/XR0zlBy1qAlkAa0VykHtvFK+oGH1xp51v1ReZ9CrudNdpnQnz1qQustxT46Es6x+dd8tEwzlSQxPAKmlsFXcVTpigmIVJuYmXHJH5aqVF7w+HqvLf6wTuhWq2yuLjIkSNHtn32LcviV37lV/iFX/iFbfvU3Q0eRhv10Dtc90spvFuDdq/y72fPnsXv91+LwN1tj52tZMevN3qb70sp0TRtywzZzb2h7mXBdbciGdC4eTcV8raC2aYTfzzMxtfz1Je9N5r2bsJ39bXb+KlcstCijTohClt/Z23dIfNSmfBuH+5lj+W/SGFnPSzPYvXldXwyyka2iBoVKBJqqw5OATBA2ODkPZRAQ54dr5G1ok5Dqj4IWkTg7zZwqi6qKkCRKKaKFlHwtxmEd/sRpoKTsTGadZoOhhCaRPWphMZ8SBf0iIbRrGK0NBzRju+Pb5mx02ONhn/nT5+no6d9W+n62rKNtW5jpZx7crgEgl52XnvdzSjdjOLikmSBIfYzzBcoqlmajV4W1WkW7FPY9VUsKRk2THYEksSw8dvwaEjlWHSGZtWkUg+Scor09MDR8Kus1iWXLI1L+QRZfY4rbomAG0CKOooVJKdmyMsyXiGKorl8zfkKNc3C32timn0U8hW0wGkMrQONEQSCU9UCIRHFzw/hU/zXnC1PrOCxjir3IXjjPrVIUVMWCTd3o1PCcFuJyvdgiRWK6lk86aKoNUobnaiBGqYsM9BWwJM2rbEslqfQ1bZEe2KVU+cO4vPVaI+tI1yd/tGL/PY//zNqlTDa1Vo2AJ8f1jcg4IPeB9MnFmgYhsnJSQYGBu5YaP+bv/mbPP744zz55JNv6pif/OQn+aEf+qFtt+nv7+fs2bOsr6/f8lkqlaKtrW3L/Z5//nmSyeQNKlau6/Kv/tW/4nd+53eYm5t7U2N/N+F+Mlw3Ny/eDvfSa0tKyeXLl6nX6xw5cuTatoZh3PG+urlf4aY9KpVKpNPpa6+3otnfzkbdi31Kp9PMzMzcWSTjKlo7tzl/UY22p32kfneZ0PoKhpil3pIlvzBAl1unLGoY5SAbxKnOurTUXsdfFEwqIWw9gxsxab1cxNZdmvQUiieZpheffAmF/bQ4I/zn4mn0BZVmO8N/P2szfjaMmrxIoqedzC6LtfxrfPflPLm1nSS0FfJhk9alCiM16Jgu4B9coeL5yR+P0lFdIOYsUhmJ473e3GDLtHp0FCcYDLdiBSx8fh/1/UcJexYtl5oJ7xjF7ewg1FeicuQxNhQbb7oP4TOJtQBoeLs/DDggblwGhq7arAuXLxMxI9tK14uMQymXwRu2aZb31kNNDr+xJpI72nA/FQdDQ5yeRj80gngpgj0zgde/wVL2PaxeqrE88HnaB3NUtDr/s6tKfmiW0eUW/uY983wtvs68KVD0KSKFPJ379/MXx/4v9LLgvQtj7EmrqAvDRLxXmNrrkJiJU64G2GhPkQrnaO38EgulIHNL/4tO4wnMp6J0Kp10aTqBl12MgInc3Y64UEYOphC+AnR/CL1osUPuAGCDDVbECoNy8JpzA4Blo5y6hAw3g6hDR4LelgjV8QjP+WxS/vcR4gSPuJ0M5x1e0IMk8gpH7a+iz8HzvlZ6CzYf+YrF80csAj4dJxiixefDSdbZdWGKrLvB5FgGpxKnFjRorcC0cYUx8SGG5fAtNNe3EtPT07S1tRGJRLbd7k//9E9RVZV/8k/+yZs+5sNoox56h+tBUgrv1ZhNTExgWdYdvfytoKoqgUBgW7qQlBLbtm8xevV6/ZbGp9AwpFsZOp/Ph6EauEsQ7PVTcot3JZJxN/AcSeqreXInyqhRFX+/RvWKc6PU+6ZAhuBa3ZaryIYDdDOTxtd4z3Nh9bNp1r6oYEY06lmL+oaDW7AAPzUadUcs03DkTBrOlNIQsXAt8A2oKIqHFlJwii6uAnpCED0QInLQj7QEQpOY7TqZr5eQGrR8MIpX92g6HESoArfsEd7jQ/Wp5E9V0MIKweGtz5mi3/4emJubw7Ks2/aP2UTTkSDuLj9q4P6zFQA9jF37vZ9GluR7+KnGNdDhnP48XUo/FXGFNVuyR2uliQtcLFtoUvDe2Bp5W7BWb8WqejSHa/i0eYrSIepT2W0YDAdSPF9yKRa7GTNrlLFJO1VGlWYGxSj1QJyaTJNljj+3P81AcQfRdJQDhWPogQs41jw4q5imyVJgibheoc8YxDBNUmYKn8+H7i+g6GVUXBZXFFQVOtvAExYeNsGmNWrK1yiTJ0gfApuabMJSknh2hUDLPLaj4lWbcVKHiQ9/m+OHX6RSNVFcDSElu4YuIZAMdc+RTbWzsdbJjn2vce6l9+K4jQzn930XeBL2jEE2/2AdrvX1der1+m1ldjcxPT3Nn/7pn/LSSy+96ahcIpG4K3798ePHyefzvPrqqxw9ehSAV155hXw+z6OPPrrlPp/4xCd4//vff8N7H/zgB/nEJz7xwEU+3m6YpkmpVLqnfR6EfQJYWFggmUxy9OjRe67tu7lf4VbYima/aacymcwN7wF3pNkv+hdpUVsIVoOcPXuWsbGxOy7o7upv+foM4kyWaLlCtTdFuZSllnYIBqLUZRSnIqj7y4Tal6j0VMGpUWnWCStryGWTojCoVzTyQZ1CfxjKLkPWq6w0G6STksySSdGOUSyuMLUwS/d6iKZCFK3bz/ed/grOqSiB7ix1X5kcFtkxhb71WYrDXYy+msUdDuGO5bCyC8S03ZjDw7Qv99JW93A+/EE02U/HRgqOW7CrQLQQQu4aYX53BCkg+wEfQdlNZULBdWFUSEYlMHgTE1AoNKqwbkUymSSZTHL8+PFt5xI54qPb24lxGwn8u4UceKOEQQ42lBe7+wAO4wHFU4KWlg18/rN0ZDxmjidpaTrBgcUhzGX4k/0zDDmCXlrxLxqsJSp8bWwOYeQpaX6m+6c41V9l3+gJ2tajaCWVr8Ur7EqXabVGMITBnp1RBubTfG7GJLT65yhmJ8lqN/mNvSgXfUgV6plGMCE2u4xu+Ago45imSSqZwjRN8v48lmFRpUpo1UBYEtlnNugPdQviDuLSGcS5K8jDuwi0hAjWkkx0l7FSfsI+C8NXYnS5m2TGRJTa2LlmklhvI3w+jxJc4ge/3syZoSC+msrrCR3hjfLsiJ+BZA5pG1jhEn77e+nPD2PGmrGxqVHDz+2f3TeDQqHA+vr6bef7TZRKJX7jN36D3/u930PX37wk/cNoox56h+t+KIV3I5pxP8YslUpx7NixB1aovknpuJsi1ZuNXr1ep1KpXDN8taSFk5Yop4E2F7/fz+LiIslNKdebuPvX0xgrsw2DGRi4dZL1qh6VBYt6zibQbRLo91G9cNOCY1Mcw7r6exh0Q8HSry4yrnO6RKDRAwsLqosOwgdeyUMJgYwBJQEumF0KdtbDq179TkFDDVgDI66gCgWjSUNtUYg+EsTJOeRPVOj4R3FanooiNEEtZRPsM/F1GXR8Xwwr7YADvh4DLaRiZWwqqRqqr3EuogfuTwylUChci9beiR4qhEALPvh2Ant4nD3G42TVDMFgEE3UWHVPoLhJmvX/gkmGqO5wtljEEQqtmoeh5jDVKkKGMbHwhMfBgEZYWaLDkITUKqdKOoaIcKV2jrIq+UT8fUzbSyxaaXJukEdDj/FU6Ck87wksy7oWROisdzZEQKrV21BvX2Yp2UTApzM6xNX7tQcCSawgCM2HogYIyFGkArn6KWyvAj4NbD+e5xLsOIfnSKSnE4yU2FjuIBDJ89iR55GeQr3qo5SLsTw9hlX34/dBMAA7d0BTGDo7oK+r0RvsQWFTZndoaOiOMru/+qu/yg/8wA+wb9++BzegmzA+Ps6HPvQhfvInf5L/8l/+C9CQ3P3IRz5yQzHy2NgYv/7rv87HP/5xmpubb+H567pOe3v7topRDyNM0ySd3oIjvQ3uxuG62T7daR5JpVJMT09z6NChbZ2mN4Pb0exvhpRyS/t0Pc2+Wq9yMXyRkB2ip9yDruukUimKxeIdafZrS4Jqaev6LQCxlqc0lUfvD1PfHyV9OUm81oThbuDFM5Q0Db+moLaV6ZQbFLQQpZ4AbaZGumyw0O+yo6ijGE14IRUtWqc779A655C9nKNj4zQbURN/IUN1JUOvr0TUfIRCe5lE7STBVAdWtcj6ahA5vMZAxyo9lRxespPA3jzJg49QG2on8cVLdO2K0vS+J1le3EmlmGfHzjRSGcDwYEkKTC7jKQkQcTqpMMUU/fSDEAyO3x+tuV6vc/HiRcbGxu4cgBUCn/pg7qfrMX5AwoFmKP5zAD4a1hhLX2B0UuHT+qcRmQxn4+t8LCMx3Sop12TVsZhTcnQ6DhOxCgoWWjlAuqeEFxHMx+toZY3mqQ7a1UlW1+vUa/+UhDnDFUzevx4n3rWbppEPIB/VrpWGNGxU97aKwWWjTFPKxOfqeJVA414d6sBEEC0U0QY6UTMFPnKlhXa1ygUu8vXQBOvtfsxqH1knRaa7lcL6T/J49cscWZhkJW7xakDnsUk/H5Q1ZnpTvGj7CPpU3udWWa8kGJV1fN2CpvU9zAZjRP3N9MiBRlPmB4TJyUl6enruOK/8wR/8Ab29vfzAD/zAAxvLVng32aiH3uF6ECpQ92rMksnkNWP2ZjNEbwXuJhoJUC3XOH32FKZp0tbWRmWlRmWmTqW7guU2Fr+WZSGlRNf1awZOrDZ+j+iBW2iMWlglPG5SuVylcL5K4dxtorva1R8LkI0eK0oIpEVDPANAvyqgd1XIAkA1BXbOgXojqxHcFcRJeRjNOorm4Pg8hB9UU0Hzq6ghjd5/3IyVccCFpkdCBAZMytM1hn/exC27+DoNFEMhuOONa2fEdYz4jZPUdPAypUCJIzxy7xflKlzX5fz58/T3999R2vudQEzdVCwz6VLfzw9EIOu+h6Ty77iSz+KrF6iFLTJWNy2BNSruLLqax69pZKpt+JUKR8IWUtZIux6KkEQ4TFx7naJrkXcSFNxW/NLBU2yKXoFZe5q8m2PU6CHqa0Zck668FZvU23q9zo7rFmub1KZ6vU6t9wKenkUpDyACeYQ/g6eWIOhDqUUIqCZ6fLYhIelJVL9DtSpoas4BBuV8ECkcorEcUgq+8dkfxi4nGBuC3k5ob2nQCV0PltdgZPC2w33TWFpaQlXVO/YAOXPmDJ///Oe5cOHC214X9ed//ud86lOf4gMf+ADQaCr5B3/wBzdsc/nyZfL5/Ns6rncDHlQN1+bnqqre0T4Vi0XOnTvHrl273hVzzmY7lzvZyvc47+HC2QtYWPT19bHhbDAlp4iVYugp/dri92aafSEdxrV8aEFxi31SFAX30CjV1zO4E0WMiXkGymk0Ivj8Gzg+hdByC76Qij9jktQiFNt8FHY1E15ewHdcY+DZMPkxhy7PRW9uI+SYIDxa9QrdWo5Qch1dMXAqGp2HwrSejxJUV9ipZyl9KMlGUqVweZDuyxZGLkr73kNUmtpwI3kUu52RPePUmcD859+FQCJF+KoCYwRJI8MXUmAMCbzBkJgX81RFFUta973AllJy8eJF4vH4HaW93xGEG/WIJrC7+SB8H/yE99usr/8ssckUSr1Id6uFcP18PZAlZq+SM/N4Po0eK0JZCF4PO/j9Dr66RXm4yD/caONCIUViWkfrdGgL1Ti11MlEfT9HWnWEd7FBxnPa8Znb0+a2C3Zns1nq9TpGeYZKZZGENob2lUs4AzmW4608NhqFVT+Fwm5e7VjnkLFKa/vLzKWjiDMDXP5+j5GNJbRvgufYVOser7cG+chsgf0ZhdM9XXRFDEbyTTR1ZThhuKyKLIPeXdSW3SfS6TSFQoG9e/duu10qleJ3f/d3+dznPvemaovvF+8WG/XQO1z3a9C2U4G6F2NWKBQ4f/48u3fvflcYs7uFlJKZuWlUVWX//v1Yqw5BbGQHRHb6Uf3Kte2uF/2o1WrUI43fk8nkLUXVpmmirJiUv90QQfA2tji4QqPHVUONHPLgVIEACB8NGmGNhpO1eZm0q59rgAFO3UIJGCioBId1pAO+Fh9mu0HfTyew1j3cmkSPqMSOBqmt2lTn60T3BxqZwkNXI7Atd2+YmtUWfPLNRfOmpqbQNI2BgYE39T1vJ2JqH/7a/8lLF/6cxECIoBakX20ha/8Vp6on2OW36DPL7PDpuIQw1TIlJ0rVK7DTZzBqzvMRrcZCvYWl+hqD2lFspUKf2YeQMXz4yIs1bO0kmjyKLm+fobkb6u28coKKXEJzOqh6q2RqG6B6CC8KtWZsYw3cEAgLT7HQVRvHJ9DKTSjCwQtV0HSbaiWAorok2lZYnY4RMFWO7YdoBDpboasDOm4VP3rLsCmzu3v37u1pPVebSP7UT/0Ug4MP0Pu7DeLxOP/9v//3bbe5E6Pg71Pd1vW4X8r7dudrUzFXVdU7UnNqtRqnTp1iYGDgtvUK71asLa1RKVc4duwYWSOLJSy66aZNttFOO7A1zb6pqU69XmJj440F7/U0+1jaR+ykRjmrks430a778LwspUKY0EYXdb+ErjUsI8Fqr0p8vUZi4nXSvUFeE8N07pmitaRyYU8ze9OrBPIG6kYANRSg4tXx1cIYRYcOHNRkgGq4B7fVQe0K0hRI4HvfD6GNmlB0adZieE/1YSHI5UrEokFQBCaNBey95KjaZBsuLgHuvw3N0tISxWLxjq0n3k3QFZN/2/p7XPi7/0m77qM94KduBmlv+Qb6QpSvx1Oc7LKpm1DuF1QVH6o0iIg0K2GdP+ha5sWWIiPjEX64uMTYShfvDfp5MfBBPDmLFE3kUjle+ZZOW7dg/6O3vyp3E+yeVJdxFw260u0UKwZhq0hnrcps/mmOG3lmv+QycFDS1hYlFLnInr9L4Zaa8ZuQ6tVpkgaZrMorg534Vg6QjnSzvrFKrqrxfr6XPvMchhhlv/QRkg+OfiGl5MqVKwwODt5xHvqt3/otHnnkEd773vc+sPFsh3eLjXroHa77bSx5uwii4zj3ZMxOnz7N4ODglrKT72YsLi7eIJKRP1tFNQWJpyPU120UUyAUcYNy4na4PvNQilVYGM9QvOQ0slOqc7XP1tUb2gNZAKQKUrn2Hk6j1xa3u5wSZEXidNoEBgzCWhP+IQMtoBDZd9VJlALhqjQ/FrxhV1+Hjq/jzaXVW7U24P4XLel0muXlZR555JF3JMpzv9isTxyP7GK8bZyIGsURZ5D8CIe138BVv4AjzlJXXgVKIEx8uiShdtOYYpZAucKYKtlnfoCZus2w/n58jGOL51ClpFWM41BFkY1iKImDuM/pyS/68BSPoBgmUB8lZZ1Bb5U0cYCaf44gj2OxRl2mqSjTSCz8iom/LUOtpuATFlZdRzcdvv23B7HrBn6zTjSUJp+rs2e4TDIZIpMx0AC///7FarbD3Nwc4XD4jjK7zz33HK+++iqf+cxn3pLjfgdvHe5XNON29mlTMVdV1TtS113X5fTp0zQ3N9Pf339PY3incbNIxiVxiZIo8RHvI6RJY2Ojo98Xzd5OVanuy7NyEvKOpMnyU/MgUjRBZIkYSyRLLkbNRFR6sR+5AtJDTmiMx6aIFFJoQx6JgkKtKmjWygTPKASlSzLdRioGWvtOQhEoth1Dy/lY2buHekQwEZ7EL0z2dt/oUDUDzbE3p9oWJ05c3n9PtXK5zOTkJPv27XtLamzeTszMzFAb7KJlxyheewuXxFlG+X4Goz+Lob7AuJzjq+pXWfAtEJbN6JhsdEUpt+toSp7XlUlmh+PE3Uco+EzaW3bydCTES6JERmrEnb0EwoJYS+OKOTjXpP/vFaOFLsRiFdndRnjnAU587v9H00yQ/sMbTNSC9O54LztWUmTaz7GUn+XQxTbMHIxWFHKOyQv9afa3Oxxa0nix7QA1ZYPoyAyRcD8zS2eo5MYJBubR9QAlTVA36vctVrMdVldXcRyHnp7tnbq5uTk+/elP88ILL/y9V6W9Ex56h8swjPuiFG7lzV4fObyTMXMch9OnT5NIJLZV8Xk3IpvNMjk5eQMFUvULFL/A2nAoTdcxMg7h8bvP5tyQebis0/W4jnhKMvErK8iK9kbj403FQgsI05Bkh0ZNV8iBzFZRBr3huIXAaXJRxzwGPtFBfE8U1VHxtRnUViyMVp3KVB0j8e67rW3b5sKFC4yMjDw0jbA3kUwmyeVyPProoxhqo8hakT1IUUYqF1BoxnA/gUICxduDo7yClBUQEvBjqZ9h06N2xLfp9dcRshvptuKKVRBlVLkD3Xs/Ck24Yg5JAUEEVfbf83htChSUk1SZoTLxcQK9fcTFUYrKSRRpokoffvoR+Ai7u8io38BSMwhVxydA94YpsszGzKP4Mz/OcGs/nXtdPvR4nLaWOsgQvZEaG5k66XQRy7o1in47yezrHbPtjE+1WmVhYeGOAjye5/ELv/AL/OzP/uy2apffwTuD++3DtZXDdb1irqZpdxRxOnfuHJqm3dLm492OSqVyi0hGgACbbVpPipO00cZeuT2N6Xpcn3kQywbiPTrhPYLsf5xDr1VZHZlAZlsJZvqom9Ca3aDYHacQF3Q5FmrGR/hyFN/4In7XxpupYY26nK37KVctQv+oTutMFPs1h1THIMf6HiW25xDt0TqoXYRkw9zpooCPd77s4GZ4nsf58+fp6uq6Y4Dn3YZCocDCwgJHjx5FXHW6h+QQK2KFWWWemIwxIkdwhMN+dz8vqi9SpAhAkCBfFF/Ew0MgWGaZ3xx7nh/0FMbdo1xULhKWYY50+xjpCtBGG0WKnFfO0ySbGJfj9zxeUSojzlxGzCyx+F2HCft3II630nzmCkWzl/IxE62m07yxRnbPAZ55spfW6iV2d71O/6UCG4OtrMgNWloG2Zd7jA71EjER4Lt2hUl4Q9iWpFKL4DhrFAsVarW5a/bp5vKQ7ezTdvOL67pMTU2xY8eOO85Dv/Zrv8bHP/5xDh48eM/n6u8b3n0r03uEz+djY2Mr3trtsZVBu1djdv78eXRdZ2xs7KEyZrVajTNnzjAyMkJTU9O19+OPhkAIqkt18MCz7r+PkL/PJH+mgmKqhHabFJ+9bsGhca0Xl1BBaQe3CLig2hquj4YzdjOCQMCBPTXU3SoTL0+CXUNRFMzJqxPFxtX/SyambeLXHXxKCT068kB6l90tpJRcunSJcDhMV9cDlLN7ALAsi4mJCcbGxm6QY1aIg4zjoSPxozKE7n4SSQHVi6LKMWzlNVwuosgdSAZAtuCqzwEBHHcWT51GlbsRsoW68gUghM/9pwiZQIoCinzDgbDFa4CBfheLrIAcJugtkqtdIR/+X4yGP4jqeYAkqzxLQbyOLQsgNAyaUYSB4bU0ajaVGCUxhS9os2Msxfd9coBcHvq6G0WHuUKQcPCNflvXY7uee/l8fkv67e1+FhcXSSQS20btAf76r/+apaUlfvZnf/aurud38PbifinvNwcE71XEaXJyknK5zNGjRx+qbLrrupw5c4bOzs4b6hYPyUPYsqG25gmPiqxs8y3bQ3YYKKdKNAdh49AYzV8+hfBbVMo1vGCeDd8gbU1+4olFUuOCVTVA71qMsCpIx9opZ+vUKLDSU+RMwo9UA8QSIdzmRXyD+1lxWvm0eoKjrwsUoWCaMzc828IUrJgrCJ8gGUiyU9uJrr2zGaXZ2Vlc12V4ePgdHce9wvM8Ll68SH9//w1zZZAgO+QOsmRZEkv0089Puz+Ng0PQC9In+8iS5QvKFxiTY5iYjMtxnlGeIUSI0+I0/4f6f7DT28lOdvIZ9TOY0uRn3Z/Fj5+gDNIq32A1TV8UlAqCfY/chbroYA/qSB/W0hre57/Ok8ePYPqi5Bdb+VspyC+kSffmmR6J84EvZeibTTIflDhfg9QTXfT+uY+WZJTZ77f4D/9bH8voDPF9Ddl3WQL0Rs3GTbi5POT6n9upXN/OPqXTaXRdvyNN+fz583z2s5/l3LlzD9U6+UHhoXe43gpZ+Hs1ZleuXHmojVlrayvd3Q0ZVulJhCJQjMbfEeg1kTVJYOj+ZV7Ndg237GJnHYyY2shObSoTbqoTAlJCYNCPm3eoLNpobSpK2cUWwM21izagevQe6sKs+dFbNTrfG9ty8thc3GrVy9hWjQLzaNqdG0rfKetwv1hbWyOTydxRYvfdiCtXrhCJRG47sSq0g2y/9loQQZP7G5/JCILDmPYncJSXsDmDRanR5FgUsMUS0isg6MEhjYKDrXwOhQS6d2MfKUHghr5b2yHmvYeQfZjF6d8k3lUEvYzPG8TvDiBxKCiv44giHhZ+2YFOM5bYQPMSuBTRlDASu9Ekuum/0hv+x3D12E3bqFLfS8+96xUZbxb+qFar12jS3/jGN265Vy9dusTa2hodHR387//7/87P/dzP3dEx+w7eGbwVohnX26e7oawuLS2xsrLCkSNHHipqmJSSCxcuoOs6O3Y0+hp5eCgoqFf/AQzKQdqvm3PuGXGNtKURzNYQHSZOfYydrwZZi3i4kQg9a3lUH2wMLBDwRemdGcULT5J7fJBgn0W+FuL5QhGpFNnjh+ZKMz63yAU9gNmyg/Zmh4QI8dTIUzj1W2Xyi8UiGxsbTGqTqGWVCW+CFqfljg2l30o62PXI5XLMzc1x9OjRdzQweT+Yn5/H87zb1kTHiBGTsWuvNTT2X7VPq2KVj3sf5/vk97HGGpfEJbJKlrzI0yybWRAL5JU8S3KJqqxSo8bnlM/RRhsHvAMEeaNsQTfAH7i7ILXcN4a9Z4TpP/lz4tMr+EpVZIdC+KNPsetr0ygzGS75kwSCUcJWkR3rSWK1Seae8OOeUajGElTVKLmgzQvn1ji2e4hrywpxe1rq3ZaHXB84vN5GbSoG12o1KpVGwGMr+7S8vMylS5fo6uriT//0T/mRH/kRhoaG7urc/H3H/+Mdrns1ZouLi6yurnL06NGHzphNTEwghLiWlautWFhpFy2sEOg3yZ0oo4UUQvdAJdwKdtolvNdP8ssFiqdrCNVBCg1CjYbDm8FJ1YDKTBW9ScXoElAFr84bku7lq19oANJG9Rl0PNpCeaJOoM+HpmlomkYwGNxyHHj7wcpgKfEtm0oXi8Vr721mHa6P6tzO+GmadteOU7VaZWJigt27d99xonu3YWNjg1Qqdd+Ooir78cQ6Cn40bxwh4ujefgQ6mvcotvIMDrO4YhaBihBlPNbRvEafMFt5DilNDHkMTe68w9FuxMLcEroaIh6NIVAoiLO0yu+l0/lhPK2GRKGuzCPxCHnjVMQcFeUKqmxBJ0rC/TCWsoYnPTzqqG9hDxNVVbctrD558iRtbW0MDg5uGVA4f/48X/ziF0kmk6RSKX7+53+eX/mVX7mWFfiZn/kZvvd7v/ctG+93cP+4H8r77ezT3QQD0+k0ly9f5uDBg7efF9+lmJubI5/PX6srrlHjlHKKuIwzKkc5L85Tp84heehNHUdKyHUFEVdq5L+RJhAsEyrVKNNNqxMhqBQR9Sp51cPJrhOUPurrHYTrU1gVi5ji0Dkepm6VKcZqZDs0fFJDOgpd0cPsciuERAuGamAEjNtSyA9zmBVWaLVbt+ytWS6Xr73eLutws53Sdf2u52vHcTh//jxDQ0MPXdCmXC4zMzPDoUOH7ssRHZJDTIkpxuU4MWKYmHS6nRjC4HHvcU6JU1wUF7koLlKhQotoISmTdMgOAgQ4KU5SEiUe9R6ld/jeltLrySRVyyLR042MBBFTCzA2wJ73D7Fv/nNcXMmQurhMh6+XVlMjOXCQ0NkL1Luj7H3BRPvY+1hbSOP6CuSlICLun5F0M64PHG4lBHf58mUqlQp79+7d0j7NzMzwF3/xFySTSdbX13Fdl8985jPX7NMP/uAP8slPfvItG+/DhIfe4Xozfbjux5hduXKFgwcPPnR1ODeLZADocQ0752IkNIoXq1hpB6OlEZ0vnKug+m6USr8bFCeqSFuSeb6Ec2WF5so56p5OxrcPPFADoEQUpCfRAyq1NQeExN/ko1Ku4uZpbNfUkN2mSiMjFoDOJ+LEDoaJ7g2haHdhUBQDfO0YcF+9y2q12o1y47XatRq/Oxk90zQRQnDhwgXa2toeuvoax3G4dOkSO3bsuO9WB40arEZKSKEDRXbgsgjUESgY3gcxgJryF9jiJNLrRaENVY4hqeJRRCpL4B67p+NWKhXm5qbpfywMokSZK/joZEn5E5CCulhDCAcFg5pYoSbW0b0IIbGTsnIZ0xtAihqd7o8Q9va8pc7WnZBOp8nn8+zZs+e2AYV/+2//Lf/yX/5L9u3bx3/7b/+ND3/4wywvL7OyssLKyspbroCZzWb51Kc+xec//3mgIan7+7//+zdQkm/GL//yL/OXf/mXLC4uYhgGhw4d4td+7dc4duzeruXDjvuxT9eLZriuC9ydYm6pVOLs2bOMj48Ti8W23fbdho2NDWZnZ6+JZACYmERllGbZzLSYZlEsMiQbkfIr4goWFrvl7ns6jpitIdIOHaeKWOU1po+cYqn5Cvsu9pFwc8xoJSqJUaIYDNsruJUVKCsYuiAds7EcCzGnMxx0qKU6SfYss9a9zuvBHg4E9/JRPoZQPLiLbLxA0EUX6Nyxd9lWdOVarbZln0JFUW6bIbveTqmqypUrVzBN86GrQ9+Ur+/u7t52HtoOJia7ZCO4FyHCfrmfNdbIkEFF5bA8zGF5mM8pn+OcOIfwBFGiHJFHGvVeYpmiKOJxZxrh9XAchytXrrAvFEXZKCIqNaT00P7vvwHXhVIZ1bpEa8lP8/I6KUfD8Q+gDDTRc/LbJPQurJUUB75nDNnRjFTeOmfrTqhUKiwtLXHs2LHbKgaPjIzwEz/xE7z//e/nJ37iJ/j5n//5a7ZpZWXlGrvqrcLDZJ/+Xjhc99uHa9OYaZp218Zs586dD50x20okA0D1KYR3NhaT0pP4ew0C/VezMPc2h1yDte7gFF1iR4N4Xo3sokqxGENrAmmDr9XA88AtuOhxFalJFKHQ/P4wzt84uDUbRRcIT0IMXBWQNqEdQQb/VYNGclfO1j3ibuRcpZQ4zq0Ukf9/e3ceHlV97gH8O0t2wmQjO2SBJIQlARJCAsWVcqVokVaR0gJtFeVRikgXsbQCtkq9VbEWqOCCG6KtclsXtEURRbNAICGQjez7Okkmy8xklnPuH+kZZyazZ7YT3s/z+AjhQH6Bybzn9zvvMjo6qhsorV+cym3shUIhKioqTAY+e04j3am2thYBAQFOrzkTmWhT68vcApFgJhiBFL7M2JwMAQIgZlMhZCzPnzKluroa0TExCA3wh5aRQ8KGQy3oByNQQsRKIGADoWLaIBAIwUIDmeA8WIEISrRBzIRCLejAKKYhlLlhLC/eTbg2u0lJSVafnh8+fBgxMTFYv349hEIhQkNDMW+efTefttqwYQNaW1vx6aefAhgbGrlx40Z8+OGHZn9PamoqDh48iOTkZCgUChw4cAArV65EbW0t7w4fJoKLTyzL2vx9zj3h0mg0YFnWpo65KpUKpaWlmD59utWZbd5GLpfjypUrBk0ygLENyZz/PtnuRz+i2CiksmMzhVi7GqZ/S9CrAZqUCFgSgDrZEMJL+hBVG4LpQj8Mi4oREJICTB1EANuDgJ5YICYSjDoA/Tf6wl8shV9EI4b9/YEuIUKzlMhGCL5UjuDOIA2WCLeOvV8InJ+WZ2u6srn4pF9DOjo6qotLDMMgJCRkXHwyPjj0Nq2trRgdHXV6zVk0oselq97M3Ix4QTx6Bb1YzizXzThbwC5AEBMEX/ia+qPMqq+vR0BAAEJmzwI7OAw2OAisQADhpQqwYjEEvlJEiRehIS4YJcIF0FxsR8esqQhrvIj+xNmoCGHQlFuLLUvvdHsDltraWkRHR1s8HACAjz76CPX19bp097S0NJcNtedTfOL9hsvX19fhHHluYKK1joQqlQolJSWYMWOGdw4DtIBrkpGWlmZxxz91nuEpxdRMx57gBczwhVbBIHhOANhlC4DEeHS/pIC/rwDiEDG0oyxEWhbwE0HZrYFQBLAiFtLPh8BqgcB4Pwj9WYzUqRCQ6IPhUBmCWQniV04DRj37xs89CbV2GsmyLPr6+lBaWoqZM2dCLBYbNE/g0kS4p6vWnpT5+/u7Nbe+v78fbW1tbqs5EyIKQjZq3NAZEZti95/V09ODgYEBLFu2DL6MXiBkAWAUPaIz8GWmIZTNw4igDgFMAiTIhULQDLmgBoGYhX7BWSjRChYqCOC+NFBb2+xKpVIcOHAA7777rstrSCsrK/Hpp5+isLBQd/r30ksvIS8vD9XV1WaD6IYNGwx+/txzz+GVV15BWVkZbr31Vpeu2Zs42qWQy8Cwp/371KlTeVcrYa5JhrEUo/eCNNaxmzc21hfwE4CdF4hk4RKEzQhD2BfNEMxgoZwRjp74XqQ2hcG/MRysaACC0S7IpsgQMDAN2umdmMImICBnAEFXFYA2GmJBFNZDDokwF1MQ6OA20HmsptljLD6NjIyguLgY8fHxCAoKGtc8QalUuizNfqIUCoWufb074mIIQrCYXTwuPk13YMbV8PAwWlpakJOTAzY42OCPZFVqiE59BUYsRsiiPMxu7MA3eYkQJ2UjUNwDqWQEgcHTURNbh5jaKvQMN2L6lNkT++LsIJPJ0NPTg2XLllm8TqPRYN++fdi9e7fFIdHOwLf4xPsNlyNFycDYRqS1tVX3VMPcGwcXzEJCQjwyVHQiTDXJcLXApG9vUAUhIYi5NwRTlinQf34YA0Uj0Cq0EE8RY6RRCVWfFqoeLYJSAhAQ4wefIRGU7Rpo5SzCbwrGQFIvpkVJkJg2AwKxAP7x/KiZYxgG1dXVSExMtJjepT+7TD93f3Bw0OA0kmEYiMViq2mMzpgBpdVqUVFRgZkzZ/IubVar1aK6uhqzZs0y6KjIESMELFRgBUoEMekQMcHwZcMQwi4FAAwLajAiuAoNOwB/xIJ19DGvg2uvq6vDrFmzrN5EPPPMM8jOzsbKlStdvq6CggJIJBKDVIvc3FxIJBLk5+fbdGqpUqlw9OhRSCQSZGaaH2o9GTkanxiGQXNzMwIDA3VPNkw9EedSqwBg7ty5Xvk0whxTTTJc/jnjfIG4sfcGf/gjetF84K1UDBdLwdbWgw1TYTjYH4G+agg6EoApdQjOC0YbE4XpnQFAyCgClFPgF5yIpqoFEMwYQvycG/5bp8yfYfY1NTUICwtDamqq2deMPWn23BM4azFqovGJ6/gbFRXFu/b1LMuiuroa8fHxpssbgoPAahgIoAUTG4UAACt6GsHcFg9gOlpzZiD883yM5GsxmHILZrT6gXXTfotlWdTU1CAhIcHqU9bjx49jdHQUW7dudfm6+BafJsWGy56UQq1Wi6CgIMTExBi0azZXnzM4OAiGYTBjxgwMDg569WN2fdwbE9ckYyKGKxUQh4gdHhwcPDsAYADfUB+ELA6EMECI7g8G0P2ZDEgEpmYEQuQvgKJLjYDpLBgVC3l8P/wShUhbNBOMnAWjtD0lx9Nqa2shEoms1tKYy4HWx7Is1Gq12cBnrpWrpeBn6TSyoaEBYrEYM2bMcPwvwEOampogFovNHi6EMsuh+e+MLoCBH6LACJQAC2ihAINBMAIFgthZ8BGEurV2q6WlBT4+PoiOttx9rbm5GS+99BK+/PJLt3w/dHZ2mhzqHhkZic7OTou/96OPPsL69eshl8sRExOD06dPIyIiwlVL9Ur2NnXiYlBCQgJUKhW6u7st1ucolUqMjIwgJSUFQ0NDLu1m52zGTTIcVS+ohwgiJLAO1iHN8EPwqBbBYXmIiQgBOzsJ2v+7AvEn14A5uRAuBKYrooG2PqCeAYQaSNkwdAWFInPpCgjEaowVG3v/3zkAtLW1YWhoyGoGw0TT7LmOdqZmQFmKT5bS7Ds7OzE0NIT58+dP+O/B3bq7uzE8PIyMDNOjTZhFcwClCsLPCyEYGARiI4FRFaBQAgH+aGYFGIyJgjw6GmKVCmyq++ruent7MTw8jAULFli8Ti6X48knn8T+/fvd0iSMb/GJ9xsue1I2uLotHx8fpKamGrzJG79xKJVKdHR0YHR0FBKJBI2NjQY3tuZOcPR/bi0VxJVaWloglUrtDmbyhlEwKhZT0r49xRjt1YBl4fCGCwCC5wRgSrq/7o00fmMEQpcFQzOoQWCiH2RlCogbR+ETKkZvoxTD7CCW3r4YAQEBGO1UT2gumDtJpVK0tbVN+CaCw6V02NL0w1Srcblcjv7+ft1rmps1Z+o1yzAMmpqakJGRYXIwuDdTKBRoaGhAVlaWxZsIX0QhiJkNAUSYwsyFFmMtM0UIgBCBmKa9A2K4t1uXSqVCQ0MDMjIyLK6dZVk89dRTuP3225GdnT2hz7l3717s27fP4jUXLlwAAJNrsqUm6eabb0ZpaSl6e3vx0ksvYd26dSgqKjIZICcre55wcXVbQqEQs2bNGvf+YRyfent7MTg4iJCQELS1tel+DYDZNDDj+OSpQyxTTTJs0S5oRy96MZ+dr6uv7BX0wpf1RQIcvwFlU6YDs+LB9ddm714I9XfiIZAuBps8BQJVGwSjjWDlU6Gc3oCWlkHMuvke+EhCwLL9ELC9gMD7b6fkcvlYw4bMTKd0WbYnzd5Uq3HjQ29Tafb6afU1NTUmvze8nUajQXV1NVJSUiz+vbNTAsHMTgKCAsBkpgFSGRAwdi8WLWARPDcZ09z8LcswDGpqapCcnGz1nvbIkSOIiIgYl7Jnr8kan7z/HcIKWzdc1tq/G79xdHR0YGhoCDk5OQZvJPqP2fXfOLjZGubSwMwFPVfMfurr6zPZJMMWjJKBZsQwlSp8uXNuQI2/zqBkP+C/NTIRNwQDNwRjeHgY5f9oRXpequ5kzS+aH6mEarUa5eXlSElJcXtLZkeKqvVfv/39/ZBKpRAIBLh8+bLZifSm0hi94cljdXU1oqOjrXaskjDZkODbzYpQr0ZrCpvuquVZ1NDQAIlEYjVFprKyEv/4xz9QWlo64b/zbdu2Yf369RavSUxMRFlZGbq6usb9Wk9Pj9Whl0FBQZg1axZmzZqF3NxcpKSk4JVXXsFjjz02obXziZ+fH9Rqte7JlTm2dMzVr88ZGBhAT08PFixYYHAqa9zNjvsel8vlBo19uIMX7vvZ3MGhM9KUjZlrkmELBRSQC+RjN1T/3XDlMDnOWZjx91TMNLAxYwX0rF8k2KyFUGeocaWkC1FZGd++1whCwQq8v5EWwzC4evUqYmNj3Z6Op7+JsvRvrp9mr//6HRwcRF9fH4CxdMjq6mqTafam7q+8YXPW0NCAgIAAqz0A2IxUsBmp334gMkz3w2Q3diPU197eDoZhrJal9Pf345lnnsHx48cnXFs3WeMT7zdc3AmipR2tve3f+/v7UVlZiczMzHGnNrY+ZufSwIyfOOjX53BFqbY8LbP1BaxUKlFWVma1SYY5E53BNRFarRZXr15F/NJoxKbxqzkJMHZDHBwc7LZ6OUeYK6puaGiAXC5Hbm4uBAKByYn0SqXS4uvXUvBz5dPe3t5e9Pf3Wy3mtWZEUAWloANhzI02D1meKIVCgdbWVuTkWL5pZFkWe/fuxebNm5GammrxWltERETYlD6Rl5cHmUyG8+fP69ZYVFQEmUyGpUuX2vU5WZZ1qJ6Jz7gDEKVSafEQRqvVQiAQ2NQxVy6Xo7S0FKmpqeP+DW05eDGVzcH92FSasrmY5Eg2h0ajsalJhjkz2Zm61vDuxtXLCX3SETd9gUfWMBENDQ3QaDRuq5dzhLk0++7ubkil0rFmSL6+bk2zn6iRkRE0NzcjJydnQp+jiRGglRVgrpBBiJvOOLna4tmzZ1u9b3722WeRmZmJ2267bcKfd7LGp0mx4bKWI29vMLt8+TJSU1MdPgWyNQ3MXNMEUy1c9Z82mNuYCYVCtzfJcKZr165BKBR6dUAwp6OjA319fW7r7OdMpgZIcq8tS7Rarck0xuHh4XFPe/VrI811unKk9oRhGFRVVZltlGEfAQQQAW5sBc+12bU2dLSgoABnz57FtWvX3Pr6Sk9Px2233YYtW7bgyJEjAMba7t5+++0GBcmzZ8/G/v37sXbtWoyMjODJJ5/E97//fcTExEAqleLw4cNobW3F3Xff7ba1ewNu4zM6Omp2w8W1f7elY65arUZpaSliYmKsdrM0x9Y0MOOmCdz3uT3ZHMa1ORUVFW5tkuFMLS0tkMlkukMpPpHJZGhsbMTixYvd2vHWGdRqNSorK5GWlqaLSfak2RvfX9mSZm8uTtn7d8c1yoiLi5vwYGmB3n/u0tTUhICAAKtpdm1tbThy5Ag+++wztz5R5Ft84v2Gy9fX1+JgSXuDWUlJCWJjY92yYbG1aYK53GfjgYfA2AmnQCBAWVmZ2XQRb3jEbqyzsxOdnZ3Izc31yvVZolAoUFVVhblz57qlUNSZJjJAUiQSOVRUzb2OR0ZGDD4OGNaemAt8+kXVjY2NFhtl2COITUOQg+2mHSGTydDd3W31yRzDMNizZw+2b9/ukRlLx48fx/bt23VdEb///e/j4MGDBtdUV1dDJpMBGHtdVFVV4fXXX0dvby/Cw8OxePFinDt3DnPnznX7+j2Jez8wd3Kq1Wp1BxLWbuYYhkFZWRkCAgKc8pTTGmdnc3CCg4Nx5coVs0/LvHFDIJPJdGn6Ez/YcS8ucyQ5OdnlbbpdoaamBsHBwXaP5NF/2iuRSMxeZy4+6d9fmTr4tpTGyMWn7u5uDA4OOqXJxwwhixluHDwwOjqKxsZGLFy40Gpt8f79+3HbbbchNzfXbevj8Ck+CVi+VccbKS8vx+LFi9HZ2TnuRaHVaqHVaiESiay+STIMg0uXLkEsFiMzM5N3J1iNjY1obGzE7NmzzdaZeWtBtVwuR1FREebOncu7gnqWZXHx4kUEBATw8maypaUFjY2NyMvL82iTF+PaE3OvX/1ObT4+PhgcHERUVBSmTp067nXsjTduHO51I5FIrJ72f/TRR3jwwQdRW1vrUJow8RytVguxWIyysjIkJiaO+zXudN1aqjvXdXZwcBDZ2dke/V51RHd3N65cuYK0tDSIRCKz3+OmbmpNxSh3DoxXq9UoKipCfHz8uH9DPqisrMTw8DCys7N5d18jlUpx+fJl5OXlWdz4uxp3sGAcj4x/bjy7bHh4WFef6840e2eorKzE6Oio1c6EVVVVWLp0KUpKSpCe7pk6aL7w7n9xG/j7+0OpVI6r4dIPZtZe2Fww02g0Vnfz3qivrw91dXXIysqyeENm6RE7V1Btqj2+pYYfzpj7VFZWhtjYWN5ttoCxR+5KpdLqm5I30h8g6ek3f1ubfmi1Wt1rlzv59PMbG99gfONmKc1J/z9PfL9zbXatzf3ghkg+9thjtNniIYFAYLJTIdcx15bNFjD2PtPT04MlS5Z4/HvVXnK5HOXl5ZgzZ47FpxT62Rz6McpUNoe5TqvGP3bG3KeKigoEBQUhIcF9bbidpaenR5c5wrf7Gq1Wi8rKSsyaNcujmy3AsEzEEv3D7sbGRqhUKgQHB+tml3GvaVem2TvDyMgI2tvbrT6xYlkW+/btw6ZNmyY8fuh6wK93bhP8/f11aUvcN4MjwUwqlSInJ8erT8VNUSgUNjfJsOURu7sLqvlctzU0NKTb6PLtJoivAyRFIhGCgoKgVCohl8t1RdT6LKU5DQ0NWXwNmwt+znziq99m11pr5hMnTmBkZAQPPfSQUz43cS/uRk1/w2VvE6fu7m7U19cjOzvb7q6znqbfJMNaSph+Ax5rf6ap+KQ/98lcirKpNHtL39t8rttSqVSoqKhAWlqaxzcsjqitrYWfn5/DtYqewKXhMgwDqVSKxYsXj0vjdEaavfFr2NlPfGtraxEbG2u12/KFCxfw2Wefobq6mnffH57Ar7tEE7g3Z6VSCV9fX7uDWVdXF2+DmVardXqTDHcWVCsUCnR0dFidneSNuLz4hIQEXj554PMASa5RxsyZM02eONozu8w4hZE7WJBKpbqfG7fQtrQ5s+U0sqOjw6Y2uwqFAk8++SSeeOIJ3r03kW/5+X07usTe+DQ4OIirV69i3rx5vKu/YVkW5eXlTm+SYa7Tqj5ntMfXarWor6/HvHnzeHmgVlFRgZCQELtrn7yBTCZDa2srLze6XKOM2NhYk9+z9txjmUuzN37iyx1WmHtSZk+a/cDAgK4jpCUMw+Dxxx/Htm3beNmkzRP49S5ign4XKHuDmUwmQ3l5OW+DWWVlJYRCoUce5U60oLq/vx8DAwMQiUQ4f/78uPbi3l5QXVdXB6FQiOTkZE8vxW4qlQrV1dWYM2eOU4ZfultTUxOEQuGE3+RteQ0DYyfqxq9f/aJqpVIJlUpltZsodxJZV1c3bvC6KUePHoVEIsHGjRsn9HUSz/Lz89OlauvHJ2vvZUqlEiUlJUhOTuZlunVjYyMGBwedNgTeHhNtjz84OIj+/n4IhUKUlZUBMJ/N4Y11Oe3t7ZDJZLzsmsswDMrLy5GcnOz2eZbO0NPT45RGGfak2VtqWsN93JY0e19fX1y7dg0JCQlWnzT/5z//wdWrV/Gvf/1rQl/n9cQ73h0mQH/OiT3BTKFQoLS0FDNnzuRlMGtpaYFUKvVIMLOVuScNWq0WFy5cwIwZM5CWlub09viuLqju6+tDa2urV//dW1JVVYXQ0FBevu6VSiUaGhqwcOFCt/3di8ViTJkyxeJppKX6E/3XMdet7dq1a2hubh732q2rq0NwcDBCQ0PxzDPP4NixY15zyEDsxx0kqVQqMMzYQHlbOhJqNBqUlJRg2rRpvKwd6u3tRUNDA7Kzs722q5+5Jw0sy6KsrAxhYWFYuHChbj6P8fe2qfEXxsN4TR0cunpYvFwuR3V1NTIyMrz2796ShoYGCAQCXr7utVotqqurkZKS4rbDTFu7XevPLtO/zzKVZq9QKNDb2zvutdva2gqhUIjp06djz5492LVrF0JDvX/ot7fg/YaLa4qhUCgA2B7MSktLERkZiRkzZrhjmU7V19ena1HLx1QjbpYQl2Zib3t8TxZUq9VqlJeXIyUlhZenb9wASXuHAnqL6upqREZGet2bvC31JyqVCl9//TXS09N1jRS41zB3Grl7925cvnwZarUaIpEIjz76KF544QXExsYiLi4OP/3pTw3mixDvx6VPc4Xy1m7EWJbFlStX4Ovri9mzZ/PuCYVcLseVK1eQnp7Ou8wRYHzdlkAgsCubw9TTMuMudrY8LXPkoIVhGFy9ehWxsbE2DY71NsPDw7p5YXw8zGxoaICfn59HxndYYkuaPcMwyM/PR1xcHEJDQw0OGUZGRiCVSvH888/j3//+N5RKJYRCIY4ePYqPP/4YcXFxiI2Nxdq1a62mIl7PeL/hAr7NkbclmDEMgytXrsDPzw9paWm8C2b2NMnwRo7O2/KWguqqqioEBQXxMmdZrVajqqrKYIAkn0ilUvT19fF2s1hfX4+wsDCLNRVffvkl2trasHTpUvz5z39GTEwM2tra0NbWhvb2doszBx3V39+P7du344MPPgAwNsfkr3/9q9n3F7Vajd/97nc4deoU6uvrIZFIsGLFCvzpT3/yuhsNb6Afn2xJObt27RoUCgUvbzrtaZLhjbh5W4sWLbLr6ZCtdaPmsjlMdVl1pD1+Y2MjNBoNL5tQcTV/M2bM4OVGXS6Xo6mpiZft94Gx4cVCoRAJCQlm33fefvttKJVK5OTkYPPmzVi6dKkuNrW1tWFoaMjp65pM8Yn3c7i4vNTo6GgkJSUhNjZW9x+3646Li0N0dDREIhF2796N7Oxs3HHHHbyrX+FS8aZOnYo5c+Z4ejl285Z5W+YKqo1/bFxQzbIsBgcHkZSUhKCgIIMUET7cGFVUVECpVPJy9AHDMCgoKEB8fDwvU01GRkZQWFiIJUuWWE1NfPjhh9HT04N//vOfbvl3WrVqFVpbW3H06FEAwP3334/ExER8+OGHJq+XyWS46667sGXLFmRmZqK/vx87duyARqNBcXGxy9fLNxKJBGKxGCkpKQaxKSYmBnFxcbof+/r64oUXXkBAQAB+8pOfWHzi7424VDy1Wo1Fixbx4j1RHzdvKy4uDklJSR5bh7lsDuMfG2dzCIVC9Pf3Y/r06ZBIJE5tj+8OTU1NukYZfEujZlkWpaWl8PPz4+W9mUajwddff425c+di2rRpFq89dOgQXnvtNVy+fNktNYuTKT7xfsMFAKdOnQLDMOju7tadBre2tup23d3d3RCJRIiIiIBcLsdNN91kEOi4H8fGxupS9LzthpQ7/ZHL5cjOzubFG6g+brMYGhrKi5Qo44JqrgV8aGgoBALBuJxnW1IYPVlQ3dfXh9LSUo8PkHRUY2MjOjo6eFs3d/nyZfj4+FgNxteuXUNeXh6Ki4vdMki7srISc+bM0W0GAaCwsBB5eXm6p6G2uHDhAnJyctDU1MTLNG1XOnfunK5JkHFsamtrQ2dnJxiGQVhYGIaHh7FixQqDg8P4+HjExMQgPj5el8bsbfEJGEun4mpb+VY7xG0WtVotbw6k9GcScjMVAwMDdU1abMnmMG744amvWy6Xo7CwEAsXLvS6dHFbdHd3o6KiAkuXLuXdax8YawPf399v9ekc1wzk6NGjWLt2rcvXNdni06RIKfze975n9te4gtfjx49j27ZtePTRRxEYGIjW1laUlpbi448/RltbGzo6OqDRaBAeHm4Q7IyflMXFxeked7vzzYlrkmFvKp63MK7b8nb6BdVBQUFobGxEdHT0uJtgc+3xrRVUm8vbd0VBtVarRUVFhVcMkHSEUqlEfX29WxtlOJOtbXZZlsUTTzyBH/3oR247JS0oKIBEItEFMwDIzc2FRCJBfn6+zQFNJpNBIBDwMs3Z1ZYvX27217jany+//BJr167FAw88gMTERLS1taG6uhpnzpzRbc5GR0chkUh0ccn4sJD7f1hYmK72yF340CTDEj7O2+JmEgYFBaGyshJBQUHjbpjNNfyQy+Xo7+/X/dzU6AtzDT+c/R7MdVyOiYnh5WaLa5Qxa9YsXr72lUqlzamQf/nLX5Camoo1a9a4ZW2TLT5Nig2XJQKBAP7+/mhsbMSxY8ewfv36cdewLAutVouuri60trbq/mtra0NDQwPOnTuHjo4OtLW1QS6XY8qUKQZpIfobMy7oRUREQCgUOuXNW79JBh9rbxyt2/IWzc3NUCgUyMzMHPdr9rbH90RBdV1dHXx9fXk1QFLftWvXMG3aNF4GY5ZlUVNTY1Ob3UuXLuHTTz9FVVWV2276Ojs7Tab3RkZGorOz06Y/Q6lUYteuXdiwYQMvay88iav96ejowKOPPorf//73465hWVY3SLWlpUUXm7j/FxcX6w4NZTIZ/P39DQ4MTW3MoqKiIBKJnPI643uTDEfrtrxFb28vOjo6TLaA5+5/7GmPb3xwaJzN4evra7Le2dH2+O3t7ZDL5SbjKx80NjbC19cXcXFxnl6KQ+rr6zFt2jRIJBKL13V1deHgwYP4+OOP3XYfN9ni06TfcHH+8Ic/mP01gUAAsVisC0r6u2kOy7JgWRb9/f1obW1FS0uLQXpIWVmZrniwv78fvr6+umBnLujFxMRYfYwvl8t53SRDLpejsrISc+fO5eXTleHhYdTW1iIrK8vhlEBPFlQPDg6ipaUFS5Ys4c3Jrb6+vj709vbytvNRT08P5HI5Fi5caPE6lmXx+OOP48EHH3RKysPevXuxb98+i9dcuHABgOkn9SzL2vR6UavVWL9+PRiGweHDhx1bLMGmTZvM/ppAIIBIJEJkZCQiIyORlZU17hquMmBwcFC3EWtpaUF7eztaW1tx9uxZ3ZOynp4eiEQiREdHj4tN3I+5GOXn52fxdaBWq1FaWsrbJhlqtRpXrlxBcnIyLw90VCoVysvLkZaW5nB8tWcQr7Pb44+OjuLatWu8HC4NjN3fNDY28rZRxvDwsG6zbs3TTz+NG2+80eITe1tdr/GJf69wD+FSNMLDwxEeHm7yNIYLeiMjI+OCXktLC/Lz83VBr6urCwAQFRU1LoWRy9uXSCTYtm0bfvnLX/Ly9ESr1aKsrAyxsbG8nPnEdbRMSEhwy2bX2e3xuTckPz8/1NfXO7U9vjswDIOqqirMnDmTl092GYZBTU0NkpOTrd5MfP755ygtLcV7773nlM+9bds2k0/z9SUmJqKsrEz3XqSvp6cHUVFRFn+/Wq3GunXr0NDQgDNnznj89PB6xn2vSyQSSCQSs/V/LMtCqVTqYhJ3aNja2opLly7pDg25FPuIiAjdJsz40DA6Ohq7d+/GzTffjF/84hfu/HKdgmVZVFRUIDAwEImJiZ5ejt24VLyQkBC3dF+zNZtDf1C88bwn7ufcPEKhUAiRSIT29nZIpVKTMcqbG2hUV1cjJibG6tMhb1VTU4O4uDirDXrq6urw+uuvo6ioyCkby+s1Pk2Kphl8w900d3R0jAt6xsXUISEh0Gq1uo2Zubz9kJAQt+ftW1NVVQWZTMbL9sbAWCpbX18fcnJyeLd+rVaLmpoa9Pb2IikpyWzXK8Cx9vju0NjYiPb2dt6mora0tKC5uRl5eXkW16/VarF8+XKsW7cOv/3tb924wm+LkouKipCTkwMAKCoqQm5ursWiZC6Y1dTU4IsvvrDa2YrwB3fTbCrFXn9EQUtLi67GlbvpN6595jZq06ZN87r41NzcjMbGRuTm5vIylbCtrQ21tbXIy8vj3fq1Wi3a2tpQV1eHlJQUs+NcuC7U1mrLjNvju0NPTw/Ky8t52yijr68Ply9fxrJlyyyun2VZ/OxnP0NAQABee+01t/49T7b4RBsuL/WXv/wFTz/9NE6dOgW1Wm0y6HGBb3h4GIGBgeOCnXF6SGRkpNPqyqzp6upCRUUFcnNzeZlKyHX1y8nJsZhm4a2Gh4dRVFSExYsXmz3ZsdQeX//nniioViqVyM/Px4IFCxAWFuaUP9OdNBoNvvnmG6Snp1t9uvv3v/8du3fvxrVr1zwyTHvVqlVob2/HkSNHAIy13U1ISDBouzt79mzs378fa9euhUajwQ9/+ENcunQJH330kcFJY1hYGC9vPoh9PvnkE9x9993417/+hbCwMIO6Mi6Nkasr6+/vh5+fn0G9s3Fs4ka3uOtgRyaTobi4GIsWLeJlKiHX1S8jI4OXA45VKhUKCgqQlpaG6Ohok9dwtc+mnpbp/9y4Pb6lg0NnxSetVouCggIkJCTwsjaaZVmcP38ekZGRVkcglJaWYsWKFaioqPDIk+DJFJ8opdBLpaam4v3338eCBQsAAIsXLx53DbdXlslkBk/KuDTG8vJy3RMzqVQKsVhssqbM1DyYiQQ9uVyOiooK3tZtqdVqlJeXY9asWbzcbHGpMtYGSHKbKG8sqK6pqUFERAQvN1vA2EyZwMBAqydrKpUKTzzxBB5//HGPbLYA4Pjx49i+fTtWrlwJYGyw5MGDBw2uqa6uhkwmAwC0trbqhlBy70+cL774AjfddJPL10w8KyYmBm+88QZuvfVWADBZo2icYq8fm1paWvDNN9/oDg67u7shEAjGZXIYt8aPi4vTxRRHYxTf67a4ETExMTG83GwBY9kjEonEYlqYfu2zJfrt8fXj08DAgO7HKpVKV/ts7eDQlk1/U1MTxGIx4uPjHfr6Pa2rqwujo6NW64VZlsWePXt0s688YTLFJ3rCNclx/7wKhcJgQ2ZpHkxkZOS4gGcc9LiNiPEbk1wuR3FxMaKiongxb8uUq1evQqVS8WYei7Gmpia0tLQgLy/Pbfnv5gqqjX9sS0G1QqHQpWpY2gx6q9HRUXzzzTdYtGiR1dq/F198EUeOHMHVq1d5N4idEGfgUuyN68qMMzna29uhVqsRGhqqi03mUuwlEonJFEaGYVBYWAh/f3/evr83NDToUq29ub7JnN7eXly5cgV5eXlue3831x7f3mwOrpb44sWLyMrK4mUjM4ZhkJ+fj+TkZKu1f2fPnsWGDRtQU1PjNWl5fEYbLgLg28f3nZ2dFvP2Lc2DiY2NxSeffAKGYXDkyBFERER4Xd6+NZ2dnaiqqkJubi4vb/a5VBNvTMWz1B5fP21Eo9EAgMWg580F1RUVFVCr1VbbHA8NDSEjIwMHDx7E3Xff7abVEcI/3OiWnp4ek63x9WPUyMgIgoKCTDajKi8vR0FBAf7v//4PsbGxbkuxd5bBwUFcuHAB2dnZvGzUoNFoUFBQgKSkJK98OqTf8MNcjDKVzWHpaZm3aWpq0m3YLb32GYbBTTfdhDVr1pgcV0HsRxsuYjNr82AuXbqk69rT3Nzs9nkwE6VUKlFQUIA5c+ZY7YDjjViWxaVLlxAYGIj09HRPL8chTU1NaG1tRWZmpm5zZi4AemNBNVc7l5ubazVFcP/+/fjPf/6DgoICXjYFIcSbcKNbjFPsufhUXl6O8+fPIyUlBdXV1fDx8TGoKzOugeZ+7ImGDKZotVoUFRUhOjoaycnJnl6OQ6qqqjA8PIysrCyv+Du1F/d0LisryyCrw1SdGcMwEIlEVg8OJ1rCYQ+1Wo1vvvkG8+bNs5qOevLkSfz6179GTU0NL0srvBFtuIhTtLS0YN68eXjttddw5513mp0Ho5/G6Mx5MBPFbVb8/Pwwb948l30eV+K6Pi1dutQrT9asGR0dRX5+PjIyMhAeHm7xWm8tqC4pKUFAQABmz55t8bru7m5kZGTgX//6F26++eYJf15CiHkKhQLz5s3Dfffdh127dkEulxtsyEx1Ce7q6gLLsmZT7PXjE3e44soYVVVVhcHBQWRnZ/PygKa/vx8lJSXIzc212obcG3GpeLY0yrDUHl//52q1GgKBwGx8cnY2R01NDQYHB7Fo0SKr8/Wys7PxyCOP4MEHH5zw5yVjaMNFnIJhGJw5cwYrVqyw6XpL82C4oGfrPBgu6HENIhwJes3NzWhqakJeXh4vNyvc07l58+bxNtf66tWrYBgGGRkZTvszzRVUm2qPP9GCaq6z5Xe+8x2rhd6//vWvUVdXh08++YSXJ72E8M1nn32GW265xabNCneg09HRYTLFXn9jplKpIJFIdLHJeDPG/Tg0NNThFPve3l6UlZXxdrOi1WpRWFiIuLg4Xs48A4D6+np0d3djyZIlTnvP1mq1NtU+OyObQ6FQID8/32LnYs7LL7+MgwcPory8nGqLnYg2XMRrmZoHY5y3zwU+hUKB4OBgq+khpubBVFZWor6+HkuXLuVt16rLly9DJBJh/vz5nl6OQ7jTT080ynBGQbWvry/q6+sRERGBWbNmWbypa2hoQHZ2tq6xBiGEf7gU+97e3nEp9sat8QcHBxEQEGDwpMxUa/zIyMhxKfadnZ0oLCzE4sWLERcX58Gv2HE1NTXo6+vj7UxOhUKBgoICmxohOZtxNoe5jZlGo4FAIDBb79ze3g6hUIiMjAyL/wYjIyPIyMjAgQMHrA4nJvahDRfhNS5vv6+vz+STMu7/7e3t4+bBxMTEICoqCh9//DGWLVuGe++91+3zYJyhq6sLlZWVvB3AyDCMrjbB2kwQT7HUHn90dBRDQ0NQKpW6643b47e0tODatWuIj4/H3//+d/j4+ODdd9/lzWuMEGI/7vaKS7E3PjjUz+jo7e2FSCQyiE+xsbE4f/48goODsWvXLt0GzdUp9s7ENfrIyclBcHCwp5fjkMuXL0MsFmPu3LmeXopZlrI55HI5hoeHddcaZ3PIZDKcP38e8fHxKC4uxldffYXi4mKvbErFZ7ThIpOepXkw7733Hpqbm5GYmDhuHoxxeoiz58E4AzdAMjU1FTExMR5bx0Q0Nzfr2tjz8fSTy+1PSkpCTEyMwaaMC3yff/453nzzTXR3d6O7uxtarRZTp07VnWwvWrQITz/9tKe/FEKIB3Ap9sZ1ZZ999pnuSXhzczM6Ojqg1WoRERGhi03GT8q4/3ObG0/GJ4ZhcP78eUybNg0zZ8702DomQiqVoqysDMuWLePlgSYw1sY+ODgYKSkpJuPTlStXcODAAXR3d6OrqwtqtRqBgYG6e574+Hi8/vrrvIzP3oQ2XOS6VVlZiezsbFy4cAFz5sxxyjwY47x9c/NgnOXq1atQq9VYsGABb0489dnTKMNbNTc3o7W1FXl5eRb/DViWxQ9/+EPMmjUL+/btM3hdCYVC/PznP3f62vr7+7F9+3bdIMjvf//7+Otf/2oxLebkyZM4cuQILl68CKlUipKSknEDJG3BMAzmzJmDNWvWGGwm//3vf+OOO+7A8ePHqR0+IWYMDg4iISEBb731FlavXm2QYq+fwmg8U7O9vR0KhQJTp041iE2mugSHh4e7ND41NDSgo6MDubm5vLxZZxgGBQUFmD59utUhwd6K2zB+5zvfsVqPtWvXLlRWVuK9994zSIuVSqX45S9/6fS1XW/xiTZc5LpWW1uLWbNm2Xy9s+bB6Ae9adOmOTQPxhMDJJ3t6tWr0Gq1VmdWeSuuze7cuXOtNiv56quvsG7dOtTW1iIyMtIt61u1ahVaW1tx9OhRAMD999+PxMREfPjhh2Z/z5tvvomGhgbExsZiy5YtDgc0AHj99dfxi1/8Ak1NTQgNDcXly5exfPlyPP744/jVr37l0J9JyPXCkfjEsqxudIulFPuBgQFdir25hh+xsbEOp9iPjIygsLCQtwOCgbENY2dnJ5YsWcLLDSPLsigsLERsbCwSEhIsXtvU1ISsrCx89dVXyM7Odsv6rrf4RBsuQpzM2jwY/dPIvr4+h+bB9Pf34+9//ztWr17tlQMkbTEwMIBLly4hLy9Pl57JNzU1NZDJZFbnyjAMg1tuuQWrVq3Cvn373LK2yspKzJkzB4WFhViyZAkAoLCwEHl5eaiqqkJaWprF39/Y2IikpKQJBTSNRoPU1FRs3rwZ9957L3Jzc7FmzRocOnTIoT+PEDIx3C3f8PCwyboy/YPDnp4eCAQCREdHm0yx19+ccYd+AoEAWq0WR48exS233GL1fcZbcY0yFi5cyMtmWgDQ3t6Ouro6LFu2zOKGkWVZbN26FWq1GidOnHBLtsz1GJ/41/+aEC/HpWiEhoYiNDTUZJtzLuiZmwdTVFSke1LW2dk5bh5MX18fBgYGEBgYiPj4eLfOg3EGhmFQWVmJpKQk3m62lEolmpubkZ2dbfXv+8MPP0RTU5NL0jLMKSgogEQi0QUzAMjNzYVEIkF+fr5bboTEYjEeffRR/Pa3v8X777+PRYsW4YUXXnD55yWEmMa9VwUHByM9PR3p6ekmr+O6t+rP0OQ2ZJcvX8Ynn3yii1EajQZhYWG6J2XA2ExCHx8fNDc36zZmU6dOdWkKozNdu3YNkZGRvN1sabVa1NXVWe2aC0CXRlhWVua2f5vrMT7RhosQD+De1IKCgpCamorU1FST15maB3Pu3Dn8+9//xurVq/HWW2/ZPA+G+/9E5sE4S2trKxiGsZrm4M3q6uoQGRkJiURi8Tq1Wo19+/Zh9+7dVuefOFNnZ6fJ1MXIyEh0dna6bR0//vGPsWPHDrAsixMnTlDnK0J4gGsxnpycjOTkZJPXcCn23d3duhT7K1euYP/+/bjllltw8uRJXTaHXC7HlClTTA6R1q99joiIcCjF3pmkUin6+vqwdOlSj61holpaWuDj44Po6GiL17Esi7179+JnP/sZUlJS3LS66zM+0YaLEC8mEAjg6+uLhIQE3ebkyJEj2L9/vy7H2HgejHHe/vnz550yD8ZZVCoV6urqMH/+fF7mxQPA0NAQOjs7bQrIb731FtRqNbZu3eqUz713716raYkXLlwAYPpJJ8uybr2Z2bZtGwDo2l4TQiYHgUAAsVis2zQtWbIEZ86cwcaNG/Hyyy8D+DbFfmBgQNchWD91saysTLcp6+/vh4+Pj+7P00+112/4ERMTY3HI70QwDIOqqirMnDkTfn5+Tv/z3UGlUqGhoQGZmZlW/47y8/Px5Zdfoqamximfm+KTebThIoRnTp48iSlTpuh+LhAIIBKJEBUVhaioKJMFr9bmwXzxxRe6AKg/D8ZS3r6j82BqamoQFhaGiIiIif1FeFBNTQ3i4+OtpkPK5XI89dRTePrpp53WUnjbtm1WB1ImJiairKwMXV1d436tp6cHUVFRTlmLNb///e/x8ccfo7CwECtWrMArr7yChx56yC2fmxDifs899xxUKpXu51w2RVhYGMLCwqym2JuKT4WFhQYp9sDYkxBrrfEDAwN1a7BVc3MzhEIhb2ujgbFmHyEhIQgLC7N4HcMw2LNnDx5++GGrT8JsRfHJvEm14bK3xaRarcbvfvc7nDp1CvX19ZBIJFixYgX+9Kc/ITY21o0rJ8R2jnR84gKORCKBRCIxO8DR3DyYtrY2XLx4ER988AHa29sdngfz9ddf49q1a/jRj37k8NfvaVKpFDKZDPPnz7d67YsvvojIyEinfr0RERE2bVbz8vJ0Ay1zcnIAAEVFRZDJZG5JlXn55Zfx7LPP4syZM8jMzMSOHTvwv//7v7j//vuttieejCg+kesBN0zXHvop9mlpaWbrd/RT7I27BJeXl+P06dO6jZlKpUJISIhBir3xk7K4uDiEhIToNoV1dXX46KOPsGnTJt5mX3CbVv3aKHNOnTqFmpoafPLJJ077/BSfzJtUXQrtbTEpk8lw1113YcuWLcjMzER/fz927NgBjUaD4uJidy6dEN6wNA/GuDW+/jyY6Oho1NXVISMjA9/97nfdOg/GWViWRVFREaKjo5GYmGjx2r6+PsyfPx9vv/02Vq1a5Z4FGlm1ahXa29tx5MgRAGPviQkJCQbvibNnz8b+/fuxdu1a3bqbm5vR3t6O1atX45133kFaWhqio6NtPgX95JNPcOedd+LEiRP4wQ9+AODbuULPPvusS2aOeTuKT4S4Hpdiz41uMdcav62tDcPDwwgMDNQdFvb39yMgIADr1q0zODiMioryeF2ZrcrKyiASicweqnI0Gg1yc3OxZcsWPPLII25anaHrLT5Nmg3XRFtMci5cuICcnBw0NTXxdtAdIZ5mah7M8ePHcfr0adxxxx0GQ6RdPQ/GmTo6OlBbW4ulS5dazffevXs3SktLcebMGY+tua+vb9xTlYMHDxo8VREIBDh27Bh++tOfAgBee+01/OxnPxv3Z+3Zswd79+61+jkvXryIG2+8EU8++SQefvhhg197/PHH8c4776CysvK6quei+ESI9+Bue2UymW4z9tlnn+Gvf/0r7rnnHvT29uoODqVSKcRisdkUe/2f+/r6ejQ+yWQyFBcXY9myZVZnc77xxht4+umnUVVV5bFatestPk2aDderr76KnTt3YmBgwODjISEhOHDggMl/IFM+++wzrFy5EgMDA27tKEbIZKbVapGeno7nn38e3/ve9wDYPg+mvb0d3d3dDs2DcfbXkJ+fj5kzZ1pN6WptbcXChQvx+eefIzc316nrIPxD8YkQ77Z69Wrceuut2Llzp+5jLMtCoVDoYpFxRgf3pKyzsxNarRbTpk0btxGLiYkxGN3C1V87Oz6xLIuLFy8iJCTE6rBshUKBhQsX4o9//CM2bdrk1HUQ8yZNDZczWkwqlUrs2rULGzZsoGBGiBOJRCJcvHhRV88FuGcejLnW+I7Mg+Ha7HJzZsxhWRZPPfUUVq1aZVMePZn8KD4R4t3ee+89iMWGt8QCgQCBgYFISUkx2zKdS7Hv7OwcV1d27do1XUOq9vZ2KJVKSCQSg9hkqktwWFiY3fGpt7cXw8PDyMzMtHrt0aNHERoaih//+Mc2//lk4rx+w+WuFpNqtRrr168HwzA4fPiwY4u1k71F1MBYh7ojR47g4sWLkEqlE5qyTYg76W+27OHIPBj9vP3GxkZ8/fXXE5oH09XVhbfffhv333+/1feTqqoqvPPOOygtLeVFzj9xHMUnQxSfCF9Z6zhrjkAggI+PD6ZPn47p06ebvIarK9NPsdd/Unbx4kVdir1MJoO/v79Bow9TDT+io6N1o1tUKhVefPFF/PjHP7ba8GFgYAB//vOf8cYbb1xXad3ewOs3XO5oMalWq7Fu3To0NDTgzJkzbjs93LBhA1pbW/Hpp58CGCsY3Lhxo9kiagAYGRnBsmXLcPfdd2PLli1uWSch3s54HowppubB6Ae+K1eu6AKg/jyYmJgYMAyDkZERBAUFWZwHw7Is9u3bh82bN9tcl0P4i+KTIYpPhIzHjW6JjIxEZGQksrKyxl3DpdgPDQ2ZTLH/6quvDFLsuVEwsbGxCAoKQlVVFfz9/TF9+nSDjA5/f3+DQ50DBw5g/vz5utR+4j6TpoaLK0ouKioyaDGZm5trsSiZC2Y1NTX44osvMG3aNLeu19Ei6sbGRiQlJdEJIiFOZGoeTElJCR577DHcddddkMvlFufBiEQifPrpp6irq0NcXJwnvxTiRSg+EUKcgUux5zZitbW1eOSRR3DDDTfAz89Pl8nR0dEBjUaD8PBw3UFkSEgITp48ibNnz7ql9Tox5PVPuGyVnp6O2267DVu2bDFoMXn77bcbBAf9FpMajQZ33XUXLl26hI8++gharVZ3ExUWFua0QaWmFBQUQCKRGNR45ObmQiKRID8/n07HCfEAU/Ngzpw5g5/85Cc4duyY7jpz82AKCgpw++2302aLGKD4RAhxBi7FfubMmZg5cyaam5sxZ84cfPjhhwaZFlqtVje6hduclZaWYvHixcjLy/PwV3F9mjQbLgA4fvw4tm/fjpUrVwL4tsWkvurqashkMgBjncS4/HTjU7gvvvgCN910k8vW6owiakKI6/3hD3+AXC43+JhAIICvry8SEhKQkJDgoZURPqH4RAhxto0bN2LNmjUGaYNcij2X/k68Az9HaZsRFhaGt956C4ODgxgcHMRbb701rsCXZVldP//ExERdXYfxf44Gs7179+q6y5j7jxtaOZEianc4fPgwkpKS4O/vj6ysLJw7d87i9V9++SWysrJ0DQ5efPFFN62UENcRCoW6Vr6EOIrik/NRjCIE1LWUJybVhssbbNu2DZWVlRb/mzdvHqKjox0uonaHd999Fzt27MDu3btRUlKC5cuXY9WqVWhubjZ5fUNDA773ve9h+fLlKCkpwW9/+1ts374d77//vptXTsjkRDeXZKImS3wCKEYR4k0oPtmAJR5RUVHBAmCLiop0HyssLGQBsFVVVVZ/f0NDAwuALSkpccn6cnJy2K1btxp8bPbs2eyuXbtMXv+b3/yGnT17tsHHHnjgATY3N9cl6yPkevLOO++wPj4+7EsvvcRWVFSwDz/8MBsUFMQ2NTWZvL6+vp4NDAxkH374YbaiooJ96aWXWB8fH/a9995z88oJH3l7fGJZilGEeAuKT7ahDZcH3XbbbWxGRgZbUFDAFhQUsPPnz2dvv/12g2vS0tLYkydP6n4ulUrZkpIS9uOPP2YBsO+88w5bUlLCdnR0OG1do6OjrEgkMvi8LMuy27dvZ2+44QaTv2f58uXs9u3bDT528uRJViwWsyqVymlrI+R6RDeXxN28NT6xLMUoQrwJxSfbUEqhBx0/fhzz58/HypUrsXLlSmRkZODNN980uEa/iBoAPvjgAyxcuBCrV68GAKxfvx4LFy506uPY3t5eaLXacakjUVFRZgumOzs7TV6v0WjQ29vrtLURcr1RqVS4ePGirtkCZ+XKlcjPzzf5ewoKCsZd/z//8z8oLi6GWq122VrJ5OGt8QmgGEWIt6D4ZDvacHmQvUXUAPDTn/7UZBH13r17nb4+4+Jo1krBtKnrTX3c1ezJJe7o6MCGDRuQlpYGoVCIHTt2uG+hhNiAbi6JJ3h7fAL4GaMoPpHJhOKT7WjDRcaJiIiASCQa983S3d1ttmA6Ojra5PVisRjh4eEuW6sxewupR0dHMW3aNOzevRuZmZluWych9uLjzSUhrsDXGEXxiUxWFJ+sow0XGcfX1xdZWVk4ffq0wcdPnz5tdjp5Xl7euOv/85//IDs7Gz4+Pi5bq7HnnnsO9957L+677z6kp6fj+eefx/Tp0/G3v/3N5PWJiYn4y1/+gk2bNkEikbhtnYTYiq83l4S4Cl9jFMUnMtlQfLIdbbiISTt37sTLL7+MV199FZWVlXjkkUfQ3NyMrVu3AgAee+wxbNq0SXf91q1b0dTUhJ07d6KyshKvvvoqXnnlFfzqV79y25odySUmxNvx9eaSEFfiW4yi+EQmI4pPthN7egHEO91zzz2QSqV44okn0NHRgXnz5uHUqVNISEgAMJZbrp8GkZSUhFOnTuGRRx7BoUOHEBsbixdeeAE//OEP3bZmR3KJCeGDnTt3YuPGjcjOzkZeXh6OHj067uayra0Nb7zxBoCxm8uDBw9i586d2LJlCwoKCvDKK6/gxIkTnvwyCHEavsUoik9ksqL4ZCP3NkUkxHXa2tpYAGx+fr7Bx//4xz+yaWlpVn//jTfeyD788MMuWp1lhw4dYhMTE1k/Pz920aJF7FdffWX22vfff59dsWIFGxERwQYHB7O5ubnsp59+6sbVEk84dOgQm5CQwPr6+rKLFi1iv/zyS92vbd68mb3xxhsNrj979iy7cOFC1tfXl01MTGT/9re/uXnFhBAOxScymVF8so6ecJFJw5FcYm/AFVIfPnwYy5Ytw5EjR7Bq1SpUVFRgxowZ467/6quv8N3vfhdPPfUUQkJCcOzYMdxxxx0oKirCwoULPfAVEHd48MEH8eCDD5r8tddee23cx2688UZcunTJxasihNiC4hPFp8mM4pN1Apb9b2sQQiaBJUuWICsrC4cPH9Z9bM6cOVizZg32799v8ffedNNNWLBgAZ5//nkXr9LQkiVLsGjRIoPC6fT0dNx5551W18yZO3cu7rnnHjz++OOuWiYhhJAJoPhE8Ylcv+gJF5lU7M0lBoDS0lIAwPDwMHp6elBaWgpfX1/MmTPH5evlCql37dpl8HF7CqkZhsHQ0BDCwsJcsURCCCFOQPGJkOsXbbjIpGJvITUAgzSHixcv4u2330ZCQgIaGxtdvl5nFFI/++yzGBkZwbp161yxREIIIU5A8YmQ6xe1hSeTzoMPPojGxkaMjo7i4sWLuOGGG3S/9tprr+Hs2bMG17MsO+4/dwQzffYODeScOHECe/fuxbvvvovIyEhXLc+sw4cPIykpCf7+/sjKysK5c+fMXvv1119j2bJlCA8PR0BAAGbPno0DBw64cbWEEOJZFJ/ch+IT8Sb0hIsQD5pIIfW7776Le++9F//4xz+wYsUKVy7T7Oe3p5g6KCgI27ZtQ0ZGBoKCgvD111/jgQceQFBQEO6//363r58QQoh5FJ8oPhHnoaYZhHiYI4XUJ06cwM9//nOcOHECd955p5tWasgZxdQ/+MEPEBQUhDfffNNVyySEEOIgik8Un4hzUEohIR62c+dOvPzyy3j11VdRWVmJRx55ZFwh9aZNm3TXnzhxAps2bcKzzz6L3NxcdHZ2orOzEzKZzG1r5oqpV65cafBxe4qpS0pKkJ+fjxtvvNEVSySEEDJBFJ8oPhHnoJRCQjzM3kLqI0eOQKPR4KGHHsJDDz2k+/jmzZtNzrtwhYkUU8fHx6OnpwcajQZ79+7Ffffd58qlEkIIcRDFJ4pPxDnoCRchXsCeQuqzZ8+aLKR2VzDT50gx9blz51BcXIwXX3wRzz//PE6cOOHKJZplT0G1vm+++QZisRgLFixw7QIJIcQLUHxyP4pPkw894SKE2G0ixdRJSUkAgPnz56Orqwt79+7Fj370I5et1RR7C6o5MpkMmzZtwq233oquri43rpgQQogtKD5RfPJG9ISLEGI3X19fZGVl4fTp0wYfP336NJYuXWrzn8OyLEZHR529PKuee+453HvvvbjvvvuQnp6O559/HtOnTzcosDblgQcewIYNG5CXl+emlRJCCLEHxSeKT96INlyEEIfYW0x96NAhfPjhh6ipqUFNTQ2OHTuGZ555Bj/5yU/cum5HC6qPHTuGuro67Nmzx9VLJIQQMgEUn4i3oZRCMiloNBqkpaVh9erVeOGFFwx+bevWrTh9+jQKCgo8MnxxsrK3mJphGDz22GNoaGiAWCzGzJkz8ac//QkPPPCAW9ftSEF1TU0Ndu3ahXPnzkEsprdNQojtKD65H8Un4nVYQiaJo0ePsoGBgWxvb6/uY0899RQbHh7OVldXe3BlxJu0tbWxANj8/HyDj//xj39k09LSxl2v0WjY7Oxs9m9/+5vuY3v27GEzMzNdvVRCyCRB8YnYguLT5EUphWTS2Lx5M8LDw3Ho0CEAwPHjx/GHP/wBH3zwAVJTUz28OuIt7C2oHhoaQnFxMbZt2waxWAyxWIwnnngCly9fhlgsxpkzZ9y1dEIIT1F8Irag+DR50bNHMmn4+vriN7/5DZ544glkZ2fjvvvuw1tvvWVXkSyZ/PQLqteuXav7+OnTp7FmzZpx10+dOhVXrlwx+Njhw4dx5swZvPfee7quVoQQYg7FJ2ILik+Tl4BlWdbTiyDEWZRKJZKSktDd3Y1nn30WO3bs8PSSiBd69913sXHjRrz44ovIy8vD0aNH8dJLL6G8vBwJCQl47LHH0NbWhjfeeMPk79+7dy/++c9/orS01L0LJ4TwFsUnYguKT5MTPeEik4q/vz9uvvlmtLS0UDAjZtlbUE0IIRNF8YnYguLT5ERPuMikM2/ePNx222145plnPL0UQgghRIfiEyHXJ2qaQSYVhUKBqqoqZGVleXophBBCiA7FJ0KuX7ThIpNKaWkptFotFi1a5OmlEEIIIToUnwi5ftGGi0wqly5dwpQpU5CSkuLppRBCCCE6FJ8IuX5RDRchhBBCCCGEuAg94SKEEEIIIYQQF6ENFyGEEEIIIYS4CG24CCGEEEIIIcRFaMNFCCGEEEIIIS5CGy5CCCGEEEIIcRHacBFCCCGEEEKIi9CGixBCCCGEEEJchDZchBBCCCGEEOIitOEihBBCCCGEEBehDRchhBBCCCGEuAhtuAghhBBCCCHERWjDRQghhBBCCCEuQhsuQgghhBBCCHER2nARQgghhBBCiIvQhosQQgghhBBCXIQ2XIQQQgghhBDiIrThIoQQQgghhBAXoQ0XIYQQQgghhLgIbbgIIYQQQgghxEVow0UIIYQQQgghLkIbLkIIIYQQQghxEdpwEUIIIYQQQoiL0IaLEEIIIYQQQlyENlyEEEIIIYQQ4iK04SKEEEIIIYQQF6ENFyGEEEIIIYS4CG24CCGEEEIIIcRFaMNFCCGEEEIIIS5CGy5CCCGEEEIIcZH/B7Ew693wEcn/AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib figure\n", + "fig = plt.figure(figsize=(12, 6))\n", + "\n", + "# First subplot\n", + "ax1 = fig.add_subplot(1,2,1, projection='3d', computed_zorder=False)\n", + "sc1 = ax1.scatter(pc_clipped[:, 0],\n", + " pc_clipped[:, 1],\n", + " pc_clipped[:, 2],\n", + " c=object_id_clipped, cmap='prism',\n", + " s=0.02, zorder=1)\n", + "\n", + "ax1.set_xlabel('$X$')\n", + "ax1.set_ylabel('$Y$')\n", + "ax1.set_zticks([])\n", + "# set equal axes\n", + "box = (np.ptp(pc_clipped[:, 0]), np.ptp(pc_clipped[:, 1]), np.ptp(pc_clipped[:, 2]))\n", + "ax1.set_box_aspect(box)\n", + "ax1.view_init(elev=20, azim=15)\n", + "ax1.set_title(label='a) Coloured by Object ID', fontsize=18)\n", + "\n", + "# Second subplot\n", + "\n", + "ax2 = fig.add_subplot(1,2,2, projection='3d', computed_zorder=False)\n", + "sc2 = ax2.scatter(pc_clipped[:, 0],\n", + " pc_clipped[:, 1],\n", + " pc_clipped[:, 2],\n", + " c=pt_src_id_clipped, cmap='gist_rainbow',\n", + " s=0.02, zorder=1)\n", + "\n", + "ax2.set_xlabel('$X$')\n", + "ax2.set_ylabel('$Y$')\n", + "ax2.set_zticks([])\n", + "ax2.set_box_aspect(box)\n", + "ax2.set_title(label='b) Coloured by Scan Position', fontsize=18)\n", + "ax2.view_init(elev=20, azim=15)\n", + "# Adjust subplots\n", + "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n", + " wspace=0.02, hspace=0.02)\n", + "\n", + "# Display results\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T16:01:37.567366Z", + "start_time": "2023-08-24T16:01:37.544368Z" + } + }, + "outputs": [], + "source": [ + "moving_leaves = [16, 20, 58, 98, 106, 121, 175, 182]\n", + "static_leaves = [193, 207, 211, 236, 279, 294, 352, 343]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T16:02:17.903157Z", + "start_time": "2023-08-24T16:02:17.005163Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 6))\n", + "\n", + "for i, leaf_id in enumerate(static_leaves):\n", + " sel_idx = object_id == leaf_id\n", + " pc_sel = pc[sel_idx]\n", + " pt_src_id_sel = pt_src_id[sel_idx]\n", + "\n", + " ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n", + " sc = ax.scatter(pc_sel[:, 0],\n", + " pc_sel[:, 1],\n", + " pc_sel[:, 2],\n", + " c=pt_src_id_sel, cmap='gist_rainbow',\n", + " s=0.4, zorder=1)\n", + "\n", + " ax.set_xlabel('$X$')\n", + " ax.set_ylabel('$Y$')\n", + " ax.set_zticks([])\n", + " ax.view_init(elev=15, azim=45)\n", + " # set equal axes\n", + " box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n", + " ax.set_box_aspect(box)\n", + "fig.suptitle('Static leaves', fontsize=16)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T16:02:23.703117Z", + "start_time": "2023-08-24T16:02:23.026120Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA9cAAAIaCAYAAAAqdr73AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3xW1f3A8c+59z4rey8IYe8NMgQ3bq17111Ha9WqHdrWaq1WW/tz1LrrrqvuvRVREEEZsmcYISRk72fce8/vD0waIIGEkPAEvm9fvoBnnnufe+453zOV1lojhBBCCCGEEEKI3Wbs7QQIIYQQQgghhBDdnQTXQgghhBBCCCFEB0lwLYQQQgghhBBCdJAE10IIIYQQQgghRAdJcC2EEEIIIYQQQnSQBNdCCCGEEEIIIUQHSXAthBBCCCGEEEJ0kATXQgghhBBCCCFEB0lwLYQQQgghhBBCdJAE10IIIboFpRRKqb2djJ269dZbUUpx66237u2kCCGEEKKLSXAthBD7md69ezcFqjfccMNOX3v//fc3vTbaA1shhBBCiL1JgmshhNiPvfDCCziO0+rz//nPf7owNTs3aNAgBg0atLeTIYQQQgjRIgmuhRBiPzVo0CCKior49NNPW3x+xYoVfPfdd1ET0C5fvpzly5fv7WQIIYQQQrRIgmshhNhP/fSnPwVa751+7rnnADj//PO7LE1CCCGEEN2VBNdCCLGfOuSQQ8jNzeWNN96grq5um+e01jz//PMEAgFOPfXUnX5OXV0dt99+OyNHjiQ2NpaEhAQmTpzIgw8+iG3b27z2X//6F0opTjjhhFY/r7y8HK/Xi8fjoaysrOnx1uZ9N84hX7duHbNnz+bYY48lOTmZ2NhYDjroID7//PNWv2vLli1cccUV5OTk4Pf7GTx4MHfeeSe2bXPooYeilGL69Ok7Pf72KCgo4JprrmHgwIEEAgGSkpI47LDDePXVV1t8fVFREQ888ABHH300vXv3xu/3k5yczCGHHNLU+NHcu+++i1KK4cOHt5oGx3HIzMxEKcUPP/ywzXO2bfPII48wdepUkpKSms7JH//4R6qrq1v8vHfeeYejjz6atLQ0PB4P6enpjBw5kquvvpply5a14+wIIYQQ3ZwWQgixX8nLy9OA/uqrr/SNN96oAf3cc89t85oZM2ZoQJ9zzjl648aNGtAtFRlbtmzRI0aM0IA2DEOPHDlSDxkypOn1Rx55pG5oaNjm9ZZlaY/Ho8vKylpM36OPPqoBfdxxx23zeGtpaDyeBx54QHs8Hp2amqrHjRunExMTNaAty9JffPHFDu/buHGj7tWrlwa0x+PRY8aM0QMHDtSAPumkk/QhhxyigRbf25pbbrlFA/qWW27Z4bnp06c3pSkQCOgRI0bo3NzcpuO64YYbdnjPX/7yl6bX9+vXT48fP74pzYC+8sort3l9OBzWqampGtA//PBDi2n86KOPNKCHDh26zeNVVVX64IMPbvot8/Ly9PDhw7XX69WAHjJkiC4uLt7mPQ888EBTWrKysvT48eP1gAEDtN/v14C+995723zuhBBCiO5OgmshhNjPNA+ulyxZogF91FFHbfOayy67TAP6/fff32lwfdppp2lADxs2TK9evbrp8blz5+rMzEwN6N/+9rfbvOfoo4/WgH700UdbTN+hhx6qAf2f//xnm8d3FVx7PB595513atu2tdZbA83zzjtPA3rixIk7vO/444/XgB4/frzeuHFj0+MzZszQSUlJ2uPx7LHgetOmTTolJUUrpfRf//pXHQwGm56bOXOm7tGjhwb0O++8s837vvrqK/355583HVOjhQsXNjViTJ8+fZvnrrjiCg3om266qcU0XnTRRRrQt99++zaPn3322RrQRxxxhF6zZk3T4+Xl5frUU0/VgD799NObHo9EIjo5OVlblqXfeOONbT4rEonod955R3/55ZctnyghhBBiHyTBtRBC7GeaB9daaz1mzBhtmqYuLCzUWmsdDAZ1UlKSzsjI0JFIpNXgeuXKlVoppQE9b968Hb7nv//9rwZ0bGysrq6ubnr8mWee0YA+9NBDd3jPpk2btGEYOiYmRtfU1Gzz3K6C6xNPPHGH50pKSrTP59OALi8vb3p8+fLlTQH52rVrd3jfU0891fR9eyK4vv766zWgr7vuuhbf984772hAH3744W3+rk8//VQD+rLLLtvm8S+//FIDuk+fPju8JxgMNvWeN28MWbhwoQZ0Xl7eNr9Vo7q6Op2bm6uVUnrdunVaa603b96sAT1mzJg2p1kIIYTYl8mcayGE2M+df/75OI7Diy++CGydt1tZWck555yDZVmtvu+TTz5Ba83UqVMZM2bMDs+fdtpp9OzZk7q6OmbOnNn0+CmnnEIgEGDGjBkUFhZu856XX34Z13U58cQTiYuLa9dx/OxnP9vhsbS0NHr37g3A2rVrt0k7wKGHHkqfPn12eN/ZZ59NIBBo1/fvzOuvv95qGgGOOeYYvF4vs2bN2mGeek1NDY8//jgXXnghRx11FAcddBBTp07lxhtvBGDhwoXbvP6ggw4iNzeX/Px8Zs+evc1z77//PlVVVUycOJF+/fo1Pf7GG28AcOaZZxIfH79D+mJiYpg2bRpaa7766isA0tPT8fl8rFy5coc0CCGEEPuj1mtNQggh9gvnnHMOv/nNb3juuee4/vrrmxbKalxNvDUrV64EYOjQoS0+bxgGgwcPpqCggJUrV3LMMccAEB8fzwknnMArr7zCyy+/zHXXXdf0nsYA/5xzzmn3cTQPFpvLyMhgxYoV1NbWNj22atUqAEaOHNnie/x+PwMGDNhhwa/dUVtby7p16wC4/PLLd/raYDBIWVkZmZmZAMyfP58TTjhhh0aI5srLy7f5t1KKs88+m7vvvpsXX3yRSZMmNT3X2vldtGgRsDXInjVrVovfs379egA2bdoEgGmaXHPNNdx9992MHTuWKVOmcNhhhzUF/36/f6fHKoQQQuxrJLgWQoj9XFZWFtOmTeOjjz5ixowZfPDBBwwePJjx48fv9H2NwWpGRkarr2kMEmtqarZ5/Nxzz+WVV17hxRdfbAqu16xZw9y5c0lKSuLYY49t93HExsa2+LhhbB2kpbVueqxxdfSWemkb7ey59qiqqmr6e/Me/NY0NDQAW1f1PvPMMyksLOS4447jd7/7HcOGDSMpKQnTNFm9ejUDBgwgEons8Bnnnnsud999N//973+55557ME2T2tpa3n33XQzD4KyzzmoxjatXr2b16tVtSh/AXXfdRY8ePXjwwQf56quvmnq1ExIS+MUvfsGtt96Kz+fb5TELIYQQ+wIZFi6EEKJpL+vzzz+fcDjcpr2tG4dtb9mypdXXFBcXAzsGqsceeyxJSUnMnTu3KZhr7FU97bTT8Hq97T+IdmgMxJv3Zm9v+waB3dV8eHs4HEZvXe+k1f8bh7HPmTOH1atXk5eXx+uvv87BBx9MamoqpmkCsHHjxla/c/To0QwZMoSioqKmrcTefPNNGhoaOOyww8jKymoxjY8//vgu03frrbc2vc8wDK699lpWrlxJfn4+zzzzDGeffTbBYJC77rqLG264YQ+cQSGEEKJ7kOBaCCEEp5xyCnFxcWzYsAGlFOedd94u3zNw4EAAli5d2uLzruuyfPnybV7byOfzNe2f3RhUN/557rnn7t5BtENjelob9h0KhZqGjndUYmIiOTk5ACxZsqTN72scSj5u3LgWe393Nc+5cej3Cy+8sM2fLZ3fxqH9ixcvbnP6tte7d28uuOACXnzxRd5++20AnnzySVzX3e3PFEIIIboTCa6FEEIQExPDDTfcwBFHHMEVV1xBXl7eLt9z1FFHoZTi66+/Zv78+Ts8//rrr1NQUEBsbCxTpkzZ4fnGIO/FF19k4cKFLF26lOzsbA499NAOH8+uHHnkkQB88cUXTXOJm3v55Ze3Gf7cUY0NCffdd1+b39O4oFpj739zkUhkl5/VeH5ff/11CgsL+eSTT7Zp1GjulFNOAeA///kPZWVlbU5jaxrneTc0NFBRUdHhzxNCCCG6AwmuhRBCAHDrrbfy6aef8vDDD7fp9f37928K1C644IJtVuOeN28e11xzDQC//OUvW5y/fNhhh5Gdnc2yZcuaVr4+66yzmuZId6aBAwdy/PHHE4lEmuY1N5o5cybXXXcdHo9nj33f7373O1JSUnjmmWe4/vrrqays3Ob58vJynnzySW6//famxyZNmoRlWcycOZNnn3226fGqqirOO++8FoPu5vr168eECROorKzk0ksvxbbtpuH42xs/fjxnnnkmZWVlHHnkkTs0ljiOw/Tp0znvvPMIhULA1hELV1xxBXPnzt1mPnsoFOKOO+4AIC8vj9TU1DadIyGEEKK7k+BaCCHEbnv44YcZMWIEixcvZuDAgYwePZphw4Yxbtw4Nm/ezLRp07aZo9tc84W1PvzwQ2D3VgnfXY888gi9evVizpw59O7dm3HjxjF48GCmTp3K1KlTmTx5MkDTHOeO6NmzJ2+//TZpaWnce++9ZGRkMHLkSCZNmkS/fv1IS0vj0ksv3WZYdlZWFr/61a8AuPDCC8nLy2P8+PFkZ2fz5ptvcu+99+7yext7r9tyfp944ommwHrs2LHk5eUxadIkRo4cSXx8PIcddhgvvPBCUyAdDod57LHHmDBhAikpKYwbN46xY8eSmZnJ3XffjdfrbXNDjRBCCLEvkOBaCCHEbktPT+ebb77htttuY8iQIaxcuZL169dzwAEH8MADD/D+++/vdEum5vN/G3tau0rPnj2ZM2cOl19+OampqSxZsgTXdbntttt49dVXqa+vB/bcquFTpkxh6dKl/OEPf2Do0KHk5+fzww8/YBgGxxxzDA899BD333//Nu/5+9//zn333cfgwYMpKipi/fr1TJs2ja+++qppa7OdOeuss5oaB+Li4jjxxBNbfW1cXBwffvghzz//PEcffTT19fXMmzeP0tJSRo4cye9+9zvmzJnT9HsOGDCAxx9/nDPOOIP09HRWrlzJqlWr6NGjB1deeSVLly7drVXfhRBCiO5K6eZjuYQQQgiB67qkpKRQVVVFeXk5ycnJeztJQgghhIhy0nMthBBCbOf111+nqqqKoUOHSmAthBBCiDaR4FoIIcR+qbi4mL///e87rI794YcfcuWVVwI0/SmEEEIIsSsyLFwIIcR+ad26dfTp0welFD179iQrK4uCggI2b94MwPHHH89bb721RxY0E0IIIcS+T4JrIYQQ+6X6+nr+/ve/8+GHH5Kfn09FRQUxMTEMHz6c888/n0svvRTLsvZ2MoUQQgjRTUhwLYQQQgghhBBCdJDMuRZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooMkuBZCCCGEEEIIITpIgmshhBBCCCGEEKKDJLgWQgghhBBCCCE6SIJrIYQQQgghhBCigyS4FkIIIYQQQgghOkiCayGEEEIIIYQQooOsvZ0AIYQQ29Ja4zgOjuOgtcayLJRSGMbW9lCl1F5OoRBCCCGE2J4E10IIsRc1BtKu6zYF1LZto7VGa41hGHi9XmBrUN0YZBuGIQG3EEIIIUQUUVprvbcTIYQQ+wOt9TZBdOP/ruvSeCtuHkADmKaJZVlNzzcG3Y2vraurAyAhIWGboFuCbSGEEEKIriU910II0QkaA+nte6Rd16WiooJNmzYxfPjwpkB6VwFx43ONfzYG2Js3byYUCjF06NBtnm/esy0BtxBCCCFE55PgWgghOqixN7mxF9q27aah3a7rbhMYN/ZIh8NhLGv3b8HNP1MphWma2/RuN/aGNw+oGwPt5sG2BNxCCCGEEHuGBNdCCNFOrfVINx+y3RjANi5G1tyeDGibz+zZvne7+fPNh6RvH+xv33suAbcQQgghRPtJcC2EEDuxfY9081W8G5/ffvh1NNlVwO04zg6vb6l3O9qOSwghhBAi2khwLYQQP2ppwbHmK3c3D1RN02z6+97W3jS0JeBuHnTLCuVCCCGEELsmwXUUal6Rl8qrEJ1j+wXHGnulW1q5O5oC6e3tqQ0f2hJw27bd9BoJuIUQQgghtiXB9V7W2kJIhmHg8Xik8irEHtA8n7XUI928MaurVtbuDrsg7irgbgy2G1/TPOCWFcqFaBtpUBdCiH2HBNddbPsKfvP5m80XQmr+2tZ6i6TyKsSOtm+war7gmOu6wP/yUvNgOlq1JW1dmf62BtxKKaqrq/F4PMTFxck9Swi2HTHTfA2Hxv3spUFdCCG6NwmuO9Gu5m/CjnMZG5mm2VSwNn5W45+2be+w2q8sPiT2VztrsJo3bx5DhgwhJiam1ZW7Rce1tgf3+vXriY2NpU+fPrIlmNgv7WpngebXvzSoCyFE9yfB9R6y/bDT5vM3G5/vyPzN1iqvbV18SApjsS/Yvkd6Vw1WDQ0NGIbRlOdE12h+n2o8/7IlmNjXtaVBvbVyufGe1fyzGv9sHmw3f63kFSF2T/MRJIDkJbFHSXC9m1prjc7PzycuLo60tLROnb/ZnqGZIIWx6H5aqqg2X3CsrSt3d4e5zR0R7ce3/b1KtgQT+4LW1nFwXZeysjKKiooYNmxYpzSot9Y4JXlFiJZtX2ePRCJNedgwDLxeLyCdU2LPkOC6DXa2z+32rdENDQ34fD4sq+tP7c4qr1IYi2i2s5W7G5/fnQXHGodair2jeSNIS9oScO9sVI7ct0RXaWnh0ZbWcWjsfY5EInu0HtCWvBKJRFi0aBHDhg1rcUFUySdif7B9w3xjfaK1ESTNp4tJ55TYEyS43k5ri41s31vWfAjX9pksmirzbRlOvn3gInO7RGdqbYX85gUf0O5AuiX7y/Ubrce5q+C6JW0JImRLMNGZdlUPAFqsmHe17fOK67oUFxczbNiwVoOElhqohOiudjYls6119uaP7U7nlJQ5Ynv7dXC9q0r+7vSWRXvmkuHkoqvtakEfaH0eYkdFa8/1/pKHdie4bklb71uNr5GhfaI92rroWDTvd99c8wp/8/tfS1NqZCSI6E5am4rhuu4O13VHr+VddU7JwoOiNftVcN1apmxp1c6OVMaisTK/M22d27Vx40YyMjKIiYmRFjvRorZModi+QtcVadqXRfPx7anguiW701AovXaivUNGu9M10vwe26ilv7d3QdTtP0eIrrCzBQIbn2+8TrtiBElbyhxpuBKwDwfXbcmUnVHJ35MZp3wLWB5ISN5jH9kmrd1AGhdr8/l80mIn2r3VXOO/u5Jch3tXZwbXLWmtoRDYYUgvsEMQIfeufcvOFh1rfi10p17pPaG9Uy+kYUp0tu6aV3fVu91aw5Xko33bPhFc72rOBXRtptwTPUn1tTBnusKy4PCTNc126GjRdzMU61cqjjrdJT6pw1+/g5bmreyqxW77CqvcRLqv7Rccq6+vp76+ntjY2Kgv+KK5Z3df19XB9fZ21Wvnui6RSIT58+czatQovF4vHo9Htm7rpnY2ZBS2bQzeF8uklnqu22pnAffOGqakjBe7Y1/Nq7szokry0b6nWwbXrc2P6ow5F3uLLwCZPcEfYJeBNcCWQkVdjaKuhk4JrmHHivKuWuyaa2moWXf8XfYHO2tBbny+tLSUgoICxo0bF/V5bH8IrqP1/O/t4Lol29+3XNelvLxcGmK6me6y6Fh3tqspY41lQuNrZDi5aElLo9wcx2HNmjVkZmYSCAT26by6q3zkOA4FBQUEAgHS09OlrrwPiPrgemdzOFesWEFiYiLZ2dldNudiV/ZUBc00YcyBbf+cw09yqa2CtKwOf/Vu250Wu8aeTmmx27tWr17Nli1bGD16dJtakBu3mDHa0vKzF0VzwLSn0hWNAWyjaD33zTVe59F+Le/vWtunNj8/n0AgQGZmZtSNnOlqHem5bov2DieXYbD7p8Z8uquFgktKSkhLS8Pj8eztJHeplvJReXk5SUlJpKWlNeUj6d3uvqIquG6tdau1JfUbg2wZwre1h9sf6Nzv2J1KfFuGmjX2crc0p0tuIl3jrbfe4osvvuDZZ59t0wIhSqltei2ilVw7e1c0B/6Nmgck3aExYH/QnkXHQqEQlmXt0T2lRdu1tVG9oqIC13XJyMiQQGEf0pZFTKUXtm2aj/gA2QqsO9trpVHzoafNW7eaDz3d1ZyLaKwMRWOaos2uhpPL3ttdz+fzEYlE2tyC3F2u8+6Szo6K1jzRHYLr5iM09odrJdrsaiGj5uVFS73S0X59daXO7rluq5bK+LKyMiKRSFPPXGuBggTc0Wv7tVd2taf0rn5Duef+T0vnQerK3VeXBdc7KzzbEki3RDJm1+qsc707w8ml5XvP8ng8hEKhNr/eMIxu0XMN3WNo8r6sK/KmRvOq8SoKxWnuaSja/p3Nyx+5VjpfZyxkJL9bdNu+7Ib2bwcmZXzXa+v+77sbzMlvuq22NEZs/7pdLSwsjVZ7R6cE1zvboqfx+e1/+N0RjZWhff3C7arj21mLXfMhMsFgkLq6uqahZjJEZvd4vV4ikUibXx+Nea8lcg3sXV3Vc11DDZ8an6JQHOMeQxxxbX6v67oy37qTdMWiY5LH/ydaeq5b0nzBWdj9NVqkZ65ztGcqxp5s7OgO9YiusLtlZVt6t5u/Vnq3u0aHg+tdDROBztuixzCMqMyY0ZimPWVvZcTWCuKamhpWr15NamqqLKTSAT6fj3A43ObXR2ve2153aQToiGg+vq4KrhNI4OfOz1GodgXWsG1wLfeJjmlt0bHte7r2dF0gmvNAV4rmaRhtWR9nZwF3S9MEZMvP3bP9VIy9tX2t/FZ7nowEjQ67HVz/8MMPfPLJJ1x22WXbZEjoum2worHivC9flNF4rpuPgoCdD5FpbZiM2DosvL091zIsXOzK7lT2t7CFGGLaHSSP1qPb9fpG0RyQRLO91dO1vWisB4gddVbP3PavlYWedtQ8kI5EIlRUVBAXF9dqY0VXjlCUvNv52joSFKCqqoqEhAS8Xq9MyeiA3Q6u16xZw9NPP82ll166136AaM2Y0ZimfdX2BfbObiKNN5Lmr5V5XVu1t+c6WvPe9qL199zT6YrW42xvhbqQQq61riWeeJ60n+zElP2PDAvftV31dG3fCwJdP4VIRLc91Yi1q565lrYD83q9+00e39W0zEgkwrx585gyZUpTALW30yu6tpF3Z3no+++/54ADDiAuLq7pNbJtbvvtdnDt9XoJh8N7dRusaKzg78sXXDT28Gitd1po7u68rv3tJtLeOdcyLFy0RXvvGT58ePGSolM6MVXbkuB6R80D6VAoRCQSwTTNbebN7o2erp2lV0RnGd1o+znXe1Jr5XxjoLmvXh/NG712tevO9sO7oyHf7u3vjyZ7+xpt3iFlmiamae4wJaO1bXNlhMiOdju4bty6Z2/ezDtScTZn1qA2R7BPTMJY2oBOtdC9fHskXXs7k+xPduf6a8u8rv1t7+3Gnuu2nk8ZFh49ouX46qijiipyyGl6rL35M5VUnrWfxaDrgt1oDki6wq4WHVu3bh2RSITBgwfv9qJjnSna0rM3RfO13NVp23702r5g+0B6+z2lm09/a62esv0Uur1JGr+3FQ15d/upAs3/bGmxtO2vO1nnaKsO91zvTR2p4HseL4Ggi7GwDs+rFbgD/TQ81w8SOtYTvy9fTNFYcHfWULP97SbS3vzc/DxF87FL4d1+ESLUUksyye163+/N31OsirnDvoN+9AN27/ow6drRUPtbz/X2C5A2DhltbdExy7KIRCJRfY4kj0e/XY0y6yzdtXzeVaMX7Nj4397PjwbRkg6x1c7K7PaMBN1fOqZa0+2D693NmJHL0lGbI1Bno+NM3F5eCOyZG39X3yzWLFUsn6848GiX5LQu/eq9rrOCu90ZTt6dF0tr74JmzVu/o/k4ozlte9LuHuca1rCJTZjKZJKehInJk8aT5Kt8fu78nDzy2vxZmWRSTjmxxDY9Fu3XB+zbwfWeWHQs2huooj19bbUn8kk057doTlu0WL16NVu2bGHUqFG7bPTa3XPZ+DnRMPJsX8m7e0K05I/2pqMtHVPNX7uvdUy1ZreDa4/H062Da2dKfNPf7XPTwbPdD6w1hDX42lfp2hs3i3UrFetWKQaMUCSndd53R0vmb25vLgKxsxUXlepei6jszoJm0D0Ck/298I4QwYNnh8frqedJ80m+Vd8yRA8hzU1jkB5ELLEYGHjxtut7bnJuQqO3GdLdHc59a4sidjftXXSsrccZ7esrSAW9e4jG+kO0eeedd/j44495/vnnO3WhVckzoiXNR0Tsrv2tY6o1ux1c+/3+dvV0dYY9doPYPrAGPE+VYn5SRfgPObjDY9r1cXsiTe35jElHuPQZpMgbuP/dLPf2nP/mfzamp3mvUHfR3gXNust8tmiuRHRFur5R3/Cc8Rxnu2dzsD54m+cCBBinx5Gsk+lLX3rpXgCc556Hjd1iQL4z6sf/dng8ygvK7tBAtDPTp0+nurqaQw89tGkYafN7U0d7CKI5DzWK9vR1lWgOYKM5bdGicS0jj6d99972ipY8HS3piAbRkD/2RHDdkvZ2TO0Lu/h0+2HhnTa0pdYBFwhGf8aPjYe+Qzo/ndF4E4yGG1Jz3SXo3F5783M0LYqyM9F0bXTUKrWKNJ22w1zonf0G9dSjlaZO1cF2L1MoTnVPxcZmqVraFBgrVLsD69Z05grBe0p3SOPOfPzxx2zYsIGDDjoIwzD2+KJj0TKEtDXd+bfbn3T3Rqyu0FX16mgZjSJ5N7p0VnC9vV31bjeOvIpEIhQXF5OXl9c0JaK79G53KLhuXPJ/b23H1ZmtXpGrMrHPTkVntLP3Jsp/8I7aneP71Fas1YoLLRffHj490RZcd1der7epBdGydn1baD4sPJrtyXuEWh0EYEOuj7Qf6nGoJD7QgB7aFzq50rhareYx4zF66V5c7V69Y9payQOH68MZbg8ng4xWP/sD4wNeMF7gOPc4znfP32Np3lXaosXeWmhpT/H7/YTD4Tbl293RHXqXoj19XSWay8NoTlu06KrgOprydLSkY2+LhvzRVcF1S1oKuOvq6li1ahW5ubkt7uJjWVbUlt0d2ooLIBwOEwgE9liC2qNTbxCmandg3WhfvFl05JieDptsAAYrzcHWnj030dzrFK3pakljfg6FQm0OrqOpgN6Z3U2jWhXEKI7gjI+Bcgfr40qqajRr8gLEPFmMJzKb6kMdEuIC6N499nCqt1Wja1iqlpJEUrvep1BkkrnT1/TWvUnVqfTVfTuQwpa1VmH4Xn3PQ+ZD/Mz5GZP15D3+ve3R2KPWHa7llrR3McL2ivZz013uQ/u7aJjCFe0ah4V3tmjJM9GSDrHV3gyuW9LY8L39SMnGQLuzGpT3hN0O+b3erYvd7M2h4dGYMaMxTXtCpYYiX8xOM11Ew0xHUfXj4TdoeC5i0MdwCaL40N7zLUzR0Nq3L9id/Bztw0WhY4WE+U0txtw6zE9r8Lxajo4ziZ2/loHvrMdINqnP6YG/tBxj3nJqqCHC/ypFZVrximOxUu+Zaz6RRMbr8YzQI3Z4rqP3mxF6BP9y/sUUPaVDn9OS1vLnfDWf1Wo13xvf7/HvbK/ufg/p7N6ufbVM2xdF87UczWmLFl3Zcx0NZbdcD/8TDfkjGoPr7Rcb7Q5DwqGDw8JBgutuyXGorY0QF7sezFxQWxdsq9ZbA+LMZvHAFhfesQ2+cBRFvYcw3ilnuJsEVGPY7+FaR1CjelOoFSsdxWMRg8MszfVeh7mu4t6wiQ/NZNPloD3caw3df0hntGjMz+1d1Cza81/H0riYqlAVwQWjqV1mU31AKUNXLCbe1DRcfSrBVA+rV1aQNHMD7/T/kvRevTkl6RJqNWzSinVakegqBu5k1sxcYy4RFWGyM7nFxcAa9aUvNzo34se/m8eyd7RWYTjXPZfeujcT9cS9kKptNZ8L2h0K7e21d6X/9oqWinhrouo+VOtAKErSEmWieZRZtNgf51xHQzrEVtEWXHfndRr2yLDwvSUaM2a0XJSt2lyCfd21+HLLcc9ezxbvoTTkHsLXgaP50k3DRXGH1ybdgO8dxa9DFjVArlvIkfFPk+e8iKfWQZsjwJ2HEX6Od43r+IypTLXSCQGp2uXOkEkKGgV4FdzgdejVCXkkGlr79gW701gWLQX0rrQnjeZX1ahyB51oYD03i9Icgwpff2I3byHn3/Nxq2MIx/Wg9pMa1p9byroRiQzIjxBaVEDVFsUPhxvMcE0ytOYUyyZ7+1XEfqSUoshfxGue1+ipezLcGU4CCTtNW4DWp990JA9sZjM1qoaBeuBuf0ZLdlZQxxDDND1tj37f7tq+AO9u95P9vec6an4vV+O/Zj3Uu5h/+nGHEa2hth7iY9msNmNhka7TOy0J0VweSkP4rjU2lHX27xhNeTpa0rG3RcN56G7BdbSksyW7HVybpolhGBJctyAa0wSgVjbAZ9/gWVSCeWAQ1XMj6eE32BhZxRbtoeTds9k0FG4ZapJmwEcRgxJgiHJ5Qt1GlvE0FjbgAacUaEDj43jnLnKYyOfmP8l3Fd8ogzmugQIe8trUKshtSx7QLmCDavv+utFYmYjW339nGheH2BeHhbf59yirwnrsXZz0vpRN7k96iUFWvqJ2dBiPE0C5mTjE42+I4XvfTAas60vEZ+MvDzJs+ViCqUexzlbMxSBVaU7GxruTS7PBaqCv7stAd+AuA+vOotHcZN1EmDB/s/9GLrl77rOjrKBuTXfvUWvvNnrt1R0a0aIifQp0vIkOaYqKLXSsxvP4qzQ8O513LjiPh0/7gNSMVTziPEoCCTsdqbIv2htldVRcF+0QrQuaVZWDLwD+Pby8Une+73aGvX0+oq3Mjsb6fVt1aDZ4Vy2+0JpoDK6j7kKotjE+r8Lt4cV8YDNq6UJ0z/7gXQIRE+8PfcgdXcqw+eUserGc+b9IYsYGg6mjXOr8Qa6zHuLCmA1k6i9xlYuL4m3OJItCJjKbEu3BMQdzqGcqC9m6ZbgCDDSJCgZYmpQfT0lEQ7GGHgpaOk1m8AaUuwrH80sUxbjWKWDsPOjozpkv2uzOXtfRlv+219q1ofIbMBc1YB+UgOe1clR+iIr+G/At+Y6yMfB5wghOrTmQxNIqei9azKpxg6iJy8ON1JFaWsv6nFl4lm4ifUsOJam1lI/WTOrTi1m2xrKgH7tudMirzeOwyGGk6bQ9fdhtplCM0qMooGCHLb46KtoK6tZ09x41n89HKBTqtM+P9nweNdeXUoTu7cVTf/ey8J4Gbqr5K9RXUFLkx//cB/R64RSKj1nD2ePv5KhJfq6Lu3WPJyGay8NoTlu06MoFzXbWML7kOwOlYOg4l7JixcsPe0hM1Zx3dQTXhZJCRUmhYuh4F8OADasUP8wxmXykQ2rG/+4VWsPS7w1SMzVZuS3fQ1q6tzz/Tw8bVhtcc0eI2PiOH69om2jLo/vlsHClFB6PR3quWxBNaTI+r8J4ohh1SAI6ywvFU1GFa1Bl9bCoHvPNg7DsWUzL/QehA4qYH74ej5HEgetdYv3vc3m/O0lyq4F4XO0hnzyWk8sMJjKO2RgU8nPnr2zkGA42NTdYDndETDwKbvbaTYE1wD1hk89szQgTJptwumfbm3utW4zXmY/XuRKDBCz+gGsOx/HfiTbHtHh80XYzaBSNadqZxvzcnkq6YRhR33MNLeRH28Z7+zMYyxvQ9edhvlaBE3ZZo6sI1LkkrbCY9EwxKuxHU4eyHQrivVT3dtExlQz6RhFb14v44n54q9IgYzrZDT2J/bqW+MGaiX0CnL6qGu8BcRDzv4LB+TEZ5o+XhtKKbJ2954+vna5zrutwGlrSXYLr5ttJRntaW9LZPdfRWs422uvp0xpcUOU2noe2MDASw4oB/6Tnc9/hC1vUDh/PR3e+T94D9VQ+cztVnwyg/prr4KTOSEp0loew99IWreejJV1Vp24pzxjut5SwmaUNtcx55XBM1Zs+g8NYXpf6jE1kJaYQbDB5/p8e5nxuYlqKy/8QoiDfYNn3BnU1BvE96zDyw2yYk8KxZ9vUVMLrT3pISIJr/7pj3aK1vDt3ukU4BCWbDWLjo7+OsSdEQ96NhjQ0t18G19B1Q1ha0x2Gq+1t7oR41IYQ7hFJ6GExWFPexy5Owpw+BqPGBwfOwKzxYdR4mXrIu1zy+jTcpFimTH6Si3s9gxUOoSwX7VYRcZPoY63nXF5gPmOpI5kwBjfzJ15yNlNknMZEw0d8VR0jV6zhqHG9ITGuKS1vOXUs1CbLnTrydRqnWi6fOAazHcUvvQ4vGfdxjjOVZKrwEgKqMJwZUHcVGDlo4wCcwG9A/S+zRXOvUzTdpNqivfl5r1dq26DFNDouJNoQCeJ5vRQi4OZA0bGD6f99JaanH1ai5odxcQxYYLIuN8JHhyxiyYEj8aWGObtuPSOWZqFjh1EdF2TYt3moBYpPf+7hSI9L8rfl+DeGsfN86N5b16ZwNLznmmjgeMPp+hOxF3SX4DraKhTt1RVzrqO9EW2v3Ye0xnfdBlSJTeS0ZELflfCPX/+Zm/9YhhPyUIOHrEOm89ekAtTAj3h15VEkZ9dzwuZL905696K9WVHuLvm7sxcnbLRDuahtLOd9HvN/zbsxa5lw1bv8dO2j+GMSWRu/lIJfPUKSk8dH9SOYOXQj+sOzsGtSmbd+CwtmeknX6Rx1ZoQvDrmPpY+NoteSoxi01GLYeJdBI11y+7V8/2jtd/ntPUEqShW9B0b3fWdfE21lYWvpifZ6J3Tz4DoaK/dRl6YcL841OU3/dA8bxTylGF4eITA7C2PamxgeA6egFw9m/JHPTh/JT/RzZCe/jzc5iA5ptKvQpYlEAiYBv6KGJGwUz3EaRzKPCIqJLOYw5zlOc2/nxtte4/QPviEmzoP973tQm3sSHuMjNrsMlxQqVTU9PQUohnN/2KBEwxGW4lhfBsv5EwdFbkZRztYB5hqDheDOB/dLHPcSMP+3IIzrulG911130t5W8+7QuNViQeHzErrlYqz3KjCWa6yXC/Ft+IwjsrNYcsmpvNMnwJDnN+Nmu/RYajDrwDlYrOHCrxbx7qlH4QtX03+lD8dbS3FigJyN/XA9AfovqiN+ciqWT0FhhAaPYotW9ESjgcaQujPOWDQViI2i/dpo1J1bx6HzF0GK9nzelmNWugxw0Wo3FxNzNMa8eogxcIf9OPFUa4xFq1AlNirowR0XS/Aff+eDnxawOSWTtUYmCaOLyD5rE8pjwyLFqWsfJLbHAKykadjAUtcgU7mk7qGfLdoqx81Fc9qixV5bLVxZ2OZpDNVxLC57lx7rRoNKRmuXBKcMvzGfOGczLyZ8SfbxDhf1XUvpsit4dtzTrDXjGP/pVaxbHk/s8N54fC6FK3w88EcPtz3ZwBlXRFjVsJGXrJkc7hxOhs4Atq738Xb623h8Hq51rqdko0l2nsZVDmm9HXJ6t33tnX1BNOSPaOus6s5lc4eiEhkWvqO9nTl2xf3VBL5N+opR/zcdd/JajNQQJDiwxMtlDe+QM2oZR+U+R6reiFIaXRoPKSGMQJi4lSkwNkw/z1pidDUjWMRSNYI7uJGBFHNq8GEusu5n4zgf3k8qUR6o/fodqt4/inXjq6n7ZR2JiQdhe0xW2DmUmhAETKUYrjRFTgFD9CyU0R/tzgFiABtFw4+pr8UIPYMb8+um44mGG9K+Yl+dc91iGhNjcQ60cPJCGF9VYmxMp/Yrm1C4juSGlcSVhEiqTQUFx707ln6rIlhjMlhtjuSl3xzAqatWYy2yiamsRekGahK8JJeHCZREUA0uFIVZttHm28xYppk2/ZXmhB97rD372eUa7fmzOxfg0DVbcUV7Pt9p+rSN4X6JQmMbx4Nq33Z2xuL6rb3TpRF0ro+GV/qTn2/hvPsNI957FD0sme8ix1N9WoSDK9djVlukjfAQO2IVcZV1GHUa5THg3Bq832pi536HW1XC92cezy2Oj0zl8qjVeXPmo4WU1bvm8/lwHAfHcTq106Cl0SiuMZKTIsM48W+K+7+YxKfxX9PL5zJg7L+5N5TOEysHU5ufRr+pc0nH4JvFySQuvJjs9KUs/yyZ4i9rGFt/HP3fNzhhyUq+ik0j1JDA6094eOsbL+Ebl1I/pJ6R7kjGueOop57F8YvJ3pTMM/e7fPlRHBdcH2LOWX9l2RwvB2YM5NjcEWTrbOqoI5VUlqplvDZrHcNKp7BhVjrn/jJMapZmU00FH6e/Roqbgkd5ONQ+lHi2naytNTx4i5eqcsWv/xHC1712tewS0TZCaWdlc7TfSzo051p6rlumtcacNR83Kx3dt+feTs42VEUhF67/nNqflJGa0h821YFai5FZTV7sd1zp/wDXqoAaDQ2xGKsGwpilkFiHMXw9OB78Hps+dv7W1VENOEm9iRGE9eQQtJPwnP0W+aeXMqDUywwzn4I6m5rkuTx9wSzePXgjf77xckYZW0jVKVyrg5T+EObOeA95hfmcvK4WfdwyjAQbFxOD5kNoNaZ9P0SG4FqHgYqJupa2RtGe8benlGp3Jb07DBeFliveanMYz2NbYFYtldUV+LFIKhlA+uICJq16l5ByWDbgKBr8vRj1QxbDVhzG6kSXA+aHmbLYJDI8Hd+CUqxgNaWpC6j1Tia2PELhS+W4QU1ugiLDo+mhXFJ/7KvurKA6Gu+B8L+COtrzQvNKf7SntSVdMec6mvP5Ln8zZaHpg8YFWukN0xrT/RqUhWNMBsCcXYv1TgXO2FgwFTrVgzOoGAoC3HvjALJKsxi+biNmcBXD+6fgsXyEJjtsWN2D1Eg5aoYP6l1qX80m5oZN2H1SWZ48iZGFX+ArKCEzHCLB9DKiDYsftlU0B7Ay53rXGre4DYVCnR5ct1huGAa+3N4cddi7VPi95KSVg65Amwfw1a//yOh1cyk/4Fge8fiJOEn0SE3n9utymf7ZRwxa8xz/zSnGW/MPeppBrvZV4imowfk8QPz6TD62e/Ca9RpLShcw6M1EEg5L5WeFP2X8zck8VRDGDkBcouarZUWU/f4X5Ac08e98zTvWO1QuiyP3509Sn55M/icj+MzVpHkdCtaYLMqvo64wg/6vhLEOe5844liqlpKlswg/fzTffGZy8R1b8CaHWDD9QAhqqkogIxfCIaj2lBMwfXxkfMRgPZjRevTOT155BJIsMHb/unI1fOYo/MBkU2Op6CnHo6k+vV9uxQXSc90SpRSxy9fh//MTaMuifsGreztJ/1NchnnTv4hfbqHsw1AkwFfD4Nx/onyVhGcdinXd21jVBnpZDxhVBpMX4S7uhxqxGuWPUKt9BN1E0uxS/uG9gRnqIE503uWAzfN4Mets3vKfxIWOS5p+ijUpmXztD/L2H+/l+fOWMmCFF+fQCCE0/yk1cWd9zB33vkC4fCy6Gky7lMTaKoy5iZTeEqAuwUMvvQ4ArTwY2CgqMRuuAd91uL5fRnVlorvZV4eFt5RGnWihc71ERgYorCwhuWAtqalpvHH8GELVYxj/dSFTZ0F+fwOPGyBli8ZYsIa7rp6Ov3w4wRQLfIqA9oAvhx6lAZzYLVR40vDVKOzJsfTM8dDD7Jr51Uop6qnnbvNucnUul7iXdMn3tkW058/u3nPd3oUI2ysay9ntNU+f0qUovR5XDQG1db9pt5UFMf+nGst9C43CUaNAxWB+WIn5dS1OXgj7hJXYE/rj//0zhM4yWbrpGc6OPA0xNvZVxcT0exL9uRfPe17y3PVULUoi1awgmOmhNj+FmjdieCDzBopOGMw9j8ykUCVw9V0Oz98YxOeHua7BF2GTSzwuOd33Utyp7r7lXVfwerc2/oTDYWJjYzvte1rN00oRuex0hgcnYGz5Hjt7BNqYj2McztH+b5hU/yR1ZRm8NfgiTrvgUTIyi0iKz+H0Cwsoe2EVR6dU8Z9jZ/H6jN6cFVNCdmgu44sOYbTHZnnmd8xlPQNeH0PCY6XoglnknlzD7PDxfFnrJXlsEVMDihs3nMhtfaqwhy0lY1kidYUjSLzwWuqDBpFhceCJkKVr6eWvY8HsPtTUJaENB9/nKZw+7gzsGJcHil+h9KppeBYk45Qk8Wu1hN7PPMwdmXfQsNpLj9c8rDswgyuutIgML+bsl2azWq2mksptgmv1dTXGtzU4V2RBnIn6rBLrN/m4kxJwHuzb8rY3bVCi4c2IwXxXcbSl+b3HYb0vht57OX9EWx7tzvV72YqrE4QyU9EZKThjhuztpGzDePMz1He5qPKBuN5agqyk4YBFpEyoAtOLp/YbqNUQjkdt6AcHFIOhUfMHofM2o1KrecL4GQlGJSd63maj0ZNEVcmj1hW823sTfwv/DiuiOF59TKILv9O38E74aHIbPiEx8gNLhiezpV8cF8x8nd9f9yI5RWVsyE2jX+k3WHVrMFwNDIX3e+H53TJy/EVguigDXMdBm6koqlBsRrkbgO6d+aLN7gwLj+YeLdhJYBdjEPl5JmhN6nJN7KOxfF2XQp/P32Nj+iiGrRxEVkmY1KpaVINNMFCPHYbEygHE1Tpo6qlP3khtXH/c1NFY/npiwwuI29STuvMnoc5KQ/sUqjiCzvR0ybEWU8xytZy1ai0Xuxfv9X10ZUGzruH3+2W18GbpM9zlGHoRGPG4amAbPyUB2zgJlNUUkEcuy8AdHoPxw8tY732J8/kU6j0ZNIy2+fCiyST+pR4uKkGPraZ6ehZfvHYuub2XMzjrB9KKKlE1Cp/lkLysnlWLR/BdyiFUT8ihOGsyr0/rzcyfpPDN/73AUdVref/WG5jhMRliwmnG7t9To/lajua0RYvG4Lqz69W7ytPa3wvjozlY+e8S+vXFqOQqzvjtoxiPr8Q8qozhh9wJGRZo79bf9fhikqb2YGJiDrlHPsElcSYx5QP4qW8E3hQXFfqCK2LXEBfKpvzAWsrnFPHM8e+ztncDY+8cTM3/ufSduhbfb3M4lhxe+uxest6zGH3leUw1f8sHlcn0iqkn+ZmbcetCHPdcNiPfPZIVhXn4tMuZo2Yw5RMPc7IWs+FyhwMuvI418/qw1qew0OR9Ohxz/N95dGUa3wfT6HtHDUtDiRiJQULlikqCnOGcyeZ3B7DaDtL/GC/4Dcx/bEKtD6GHxlB6TCxBqum9IYxZWYH7fR16fFyr5xBgpqMo1YoTTLdplxCAahfWu4pEtq7BMstVvJrRi2ozhl80e/8GF75xDI603G123uks0ZZHu3PDtyxotifSsaUMtaUcd/gAACJJcdR//uReTtWO9OET0R8vhPk2BbEFLLk4xBFHfwWJGhbGoJIArwF1AdiUDPUeqEhCjVsG3gi6KBVvSR8OHPEoYJKkKrmIZ5jFZFIpZ/DXGxnc4x/QLwKFHuI32NQelETM6iHUDs7mzclTuPz298jyFOAvNfGGHZTr4Dr5lCbFklleSW3cOlb96U6GLTkDz3gHx6swvRoTF00MGo2iHtc8dOsxRdnNoFE0pmlX9sXVwmG74VYNLgT+d7M2Fiwn48X3WbmpL1v8QLXNYRs34wtBVXyYkJVKaYZFReI60raUkBQZhO03sFI34YtbQ6k3A2dof5aPTSLpg5X4SpLw1Wuq4gzKP6ih99oGvMcnofv6Ov04+9CH3zm/I1En7vXAGqI3b26vOxfg0PnlcLSPUNn+GnOMIWgdj6t6tedDcMyDtv5da6wXygCwz03F6DEe77ufEfj+Newki/WhPkTeTCXxsCLUoXWgICavimOD71A9SOM/uRhdl4T7RTwV9clUkoKt4/m/DTfxXJ+rGOQMZcymhYysfYuLf/Upw9Ys4L71RzF08DiONqP3PNdqmOsoRpua5N3I1tE6hSuaNA4L7+x6dVvytCoug2AIFazDF7kVs9+X6Kvjcf+TBvN6Yt8xDu3pCbgoXYSRvBSPO48Csy9HOXV8kLqIFW4ad0/+HtxC4tUILrXPIryyis/Hv0B+dhB/aDAHpvXigP8uoE94Dm7B0YSMGsy4TYSy8rhj5UQKvIkkZkH1kEIuvKcfR786Fm+tBUpxSc9VxNZXc8RKm6AvidXp65k+y8X39Vh66SDnhcp52UnkiAqbs8oq+anuQz0my0MJKDTDczbxq7qlfP27DF7e1ItV0y081QZv/mw9zlXZrPtVDgWz64idorjM+DnhaRHeu/Y6UmdG8E6vgIF+1KJ6yutL2XxUkCF6SFPZqzU8Gzb43jWYbSru8DkYCso03B6yKN4S4c4HN9IwJo7lJyRhuS5DF9cSHuDhwzQf/ZTmybDBO47BFhfSDPD9UMeZN6zGvTQT9/yMbX4vW8NLtkGecjnI1LvVqx5tZfZ+OecaJLhuFHPkZVBTT8Mr96AyE/Z2clqlB+Rhv5KLee3d9PhoPfEvjMMzKgniG2DNSHjrcLDegJI0mD0ZFoyFyQvh3I9RsUH0v0/hyuASwgkNLO3ZmzPMV8hjPWNYsHVlMjsDXvRRcKiPnw+9jykV39HHWcElT7/OkLdqKdhSSlxNLT47jOONpd616Le+GO338+2E0Zz44XRi6mr488SVPPuDF09YoVFgOaBA6Q2gvICJoh5N9N0MurP25udor3TDtr3rxvIGPP8qxh3q39prrRQlm3zEfriFyjTFPbecwBUzMhhV4dLw0duoymq8xjRy6v0UZ6ajVAUN8VWUZWfTe3hfAm+HCRgRvjzO4uP+qUzKOYKBZohe39dR8WkNi7wGifUO2Ssa0GEXd3CgU46x+W+wy/liXai75M3GAjzar+XWeL1ebNveZr/uPamxnI3m33PblY9TcVVqu95vfFuL59Vywldm4CZZWE+WonxBnGMb8E5/EregABXUmEGI21RBbmQTanocOt/H4uP6MKj3fKxyl/h5NuZPXOygyeKDerFiySTmVU3kOvvvJLh13LLkO6j7kvELipn0XZh5437O/N5zeOijl2no9wZjfOcwVA/t0HnorN9ohmPwkm1wrHY5x9P+3nWZc71rhmFgWVan16vbMuosfN0FqLp6VOpqVGQlxMVQmdGTlROyGJu5Hi8LcJ1UwGTR3HSeffkwAlfOZd7o7wkaQTzaIKDXY7hr0CqDsPFXlFHH/PGz+XfiHHr54rlq7SUkxLxKmj0eUyUTucXF487nL8GR6CnXcc9hCQRWKW7+R5DKsRuZeMwo/FaAIstD/rBU+r5UyII3P6L+ngOIqfNzwkcH8sXdr+BNDHJb5Qrud3tj+CNU9q4mdVWYn2Uu5A6rN73GfsHkmlyOcNYw9ss8EhebXO6kcbZ3A7PMVC57Poe/vLeIwjszeOO6PiwL/IxV5gckur2587fP8H95J+H5eiNlHoPUB4vQZgV/+fhzbsm9nMEbs1HL6mFaEmd7XArDimrAZuuKD78JWnykFZe8VcJBzxdjPbWZjz5JY8hUi0H/V05+dgmvvDuKVEPznVbEVdicfPMqvpiYSI3fwC2xMR8vxny+hMgj/ajK85MAfGYrbqlQvHnmEqwAbHlrCAkeA6sdl3+03eOjLT3tIXOu9wBnaD/M75ei05MBp0vSpBauQBWV4B41pX0tVNV1qEX5qLLJeIJZ2Hf/BOvItai3DoHjv4aYCFg2XP4GzBgLOWVgmxA2CV72EfWhRCxfmEGeJVSTQLxbByZgmpCSAh9mEfiyFu+fTV475hhcbwODl+dj1kHvhcVkFZcR9LnUxHgJRBw8YZuIEWLU4iW4Cmrj/fzqlgfxHuGgAEv9OGdV/fg/ESCMEboP13t6t8580aa9+bnbDQt3wFjagCq1sU9KQdU4xN63AU+5podbRe+6Iur9ifx3AXhq+zAh6UvK4xTKF0ttYBA5m/z0rKxGxzgsqRhETiAbf72Pof8to+crRfTYvJLqzEHUe/0M+MtG+sRamONjMGfW4q4LbRNc7w/XbHfJm81bx7tDerfn929d9jYUChETE7PHP7/xnETr77kn0mR9XIU5qxZreAz/2pBDeoLN6X++Bv/8UljhwQhuPccqK4RVHyESVrj1Fnq9Rc/1JQRn5hAKJuH7tgH77MHokEF6TJABQ15n1tNrefmlCAGnnrPffBEz3IDfY3PSZx+RW/oBf7uxgKd+6mCpbHKVya3OrR0+ns4wwnApMGD8bvSud5cpItGgKzqt2lR3jg2gY/xY+cvRGX2wfaO4rv8qlg78jDvqAxwRDuJyIJb+hEXzz2Lhyv4ULBqMO3454+2xeHQVi43NVKgaNpuJpKsPSIp8SlZqXyZ5AoyzA3g8hcR6F2KQRdhzI4a7FNs8hlTVG00Wtz0VxI7w48reE1EvhikuK+Pqq/pSXWJw05JMhh/fg+tKv+HyddWsOb8KO62U4ZtuI/b3F3HNR2soP28DA47R1F2QxrG9Xepf+5D/6s08Z35Exh/yGPJdBi+etICD38/hwOMbeHN2CvVFERaGFDOTHqL4z1fi5h2CefUbpCmbtXoFngYTHMj/soCakQYbUkzK0gbznF3PddfMJntVPBWDY/nqhl5cOD6GsYbm3xGDqevq+eOv8uk7LYULn9xMyFJUxlj0WlXPMW/WYUU0awbEkG1ojjBcylyTUStr6bOwltS19TipXkwFNYaiZn2Ym+eE+Cwtnpu8DjmGZtCGelIqI2ypUZxeZXFAguJvvrav+xJt9/juPKqswz3XMucagi/e3fR3tWlTl3yn9fPbwHHQudnoof3a/sakeKisQYVCuD0rUKWDUR9koo/8EnXG54CGkSshsQYOWAZ1fnj8NMgp5qXDh3JI1tskVsQQEygnxSrfGutWx8KmLLj3Aty4hfhqPORsicPRm0gJzeP7Y3uQWVRGRlE1ZsQgYHspTfDhM4M0+DxYtktcbQ3BgB+0QeqWWCo/ySajUGNcWA4BBzS4QFjF4qcWQy/AiLyP1hlRdTPozvbFrbjgfxU7d1iA8O9zUHUOOsODKgiTFJxNJMsg7soDcTP6sGTFfDybLZy4waTmfc97R/qoic3hkpc+IqVGUxMXZmOKl7KIxffHDGLs/GoGrKoni7koNZ+CxDo29ZpG4sxK/BGNlevBHhGLzurcPTujMQ9EW0Hdmu6SztY0XwSps4PrqKDrMfQGXJUHamuDVUfTFrksA3eQgXnE3VT+6RLKMl2q/uAlbl0qHOIl3leNDhlECmNJf3oB4XSTpVcdxMgVK0n6OARxLvGqFAWUWIlszMkiqaaa2oE2aZtnE9ugGb0wDjsSxnVtrJBDWpnmj3euoyGgsSIGg4zJHOdcCGioqIaUxPafmk68lnMNuNy7e42pEly3jVKqSzqt2lp2mzPnY/57BTo5l1BmDxb+aR4lZhkedT62mYDpfInG4PjzwsT1e4MXJ77Kxho/y+OWs9JYR6xWPBbowZveNWTrZzg0XMeD/o+J1w6VRgx/6/kclzRYnE0ypvM5HuffaHoR8vx16/cbGsu7Gq0zQCWyssd67uh7B/YxVxL8qB9zB91KwW9uYfmc4/nzjS9x/kHJKBQ/eBZw9d9vxfh7kGvDf+D3vj/y4MwGXnRfpV8khfWBK6h1vXz9l1ge/t1tbEiuY2L94aSq8Vy7Zi1PrpjOtSfeReWqLDL/+1ti7bPI/fm9eA0vhXHF3Pj0M5zw8oEM+TYHbWn6rTyCYSEPz0dW0ePoTfxidX/ivqlm2qOFrB8/gHUa/mub8M1mrlxdxbHaBQVb8vxMemc0f/6/9YxYXo0dsHjqV7nMtg1WKcUMbdBnUhwP3JjHW3mxvPCzpWhHc+XNfYlU2Lx7ZCphFH8Lmzz0fjHv3ZTPhmlJnP7bPiwPWBxI+xZUjbaycGejsaIpnS3pcHDdmauU7kq0Vu67Ik3uWceg1mxE5+W0+736pMnot98m/sxY1LOnQZwXdeg8MCNb9wiIC4EDRAwoyISvx0C/jfRfPYrvp6VyUtxLeJJcqPJBWSosGAbZJXDgQr7p2ZuMRy/hlM9D2MnvE/dECeO/Xos2YH1OJnF1NVgRm16bykBr1uYFGLi2nqRqTXWcD0/Epj4wAM+cNagvUuGgGsh00HUQifURMZPw0wBYaLxRdzPoznZnWHh36Llunh+daYlQ6+C5vwidZUHqBOzyChYffjCX+1zmqg0MSVxEopPIgM21XPLSV3w3Ogd/KBZPJMidv3+VBp9Nn4UjKO2jGLwsSElqDQmhLbgJSSw/aBRWmcmWbC+BRIuMY5LReZ0/3zoadZe82Z1bx6HzF0FqPDfRUtYaeimm+w0YU3DV2D1SD9BZHpzTQ3iKF3DTqfdS9/wIUmMLMY4Kw/uJuH1tWOnHDZmUL8gma2k1o/wLMfAR8npYk9mDQXXrwacJVAYZE1rGxoEOx5wb4bHrkhm5NIzXDlORPYIvD13EpJlb05xSZmFbPnoUHkeC7w88lNObSS+9hvn8uzi/uxT32IP20Fnbu5qm5nTjfNZVOnvfemj7lC6dkoj2elFFdfjLN/HLdadTlRfHBDuM5b4FNOCqEfiTjuAnQz/lxHkJrF57CNf88mXyDfBrk0KVxmpzLaV6A/3Moyk1llIKFBoFZBlhKpxEDF2A4X6E0luIGEehlcLQBXjsF9F6HTXGQK6PXUGNqsHEZPCtn7Dx1ltZQjWnnrqIwpr+HHCQyQn2CfRw09igljGPV6g06olxN7PQXEgwMcgfGl6jQGdQRjlxjGKDWUlRcj1aJzDIhOMNl0cGz2bhyPuopIrUYR5ifvMmlTm1xAb/Spk9ATP25zx+1ps8/ZN3+fONl5A/XNFLVfJh4CPc0Em8c/FoTji+Lz0eKWDF2XOZYNlssAezWYd54NQCVOwsHhlxKeUxiVwQMPhlwOX73+dy7AUrmZk9krBKQgObNdQD92kP4eMzATjutRE8EA4zs28CNVqRhKYY2IDibctikoZwmoeEHC/H4jDXVsw0FYNMTdqPRfEsR2EDB7cwAiXayuxoS097dPue62ir3HfVheBce/6OD9bUbf0zfudbODh//iXusTk8HLOatw8+mEc+fpLeAwow54xCfTkK9zfPY5guLO0LN1wPfTbDRW9zkP0u1MZCiReW9oFbr4QJ8+Ci9yAQgdgGRj07kPyEIGPcD0i+fAh1ZiHKNQl7NX3KCjEdF9sAM7x1lHdmiUPEa1AbGyDkUawerBi+YDmB+uDW0e7LfDApiPKD1wjhYxNb11e0wMjCdeuiLvNFSyW0vfbFnuvt02h+VYMqjlDd4PK66aV+wggmzq0k/6P59F2wkfHJLkODC9D+VDLLg3gStjCgpoG1A0aTWbKetFJNxLSYOK+G+rXfs7aPTf7kAzny04n4KpKZ/Hks+QNdigfFkJNqopO2trqq4gjmjGqccXFdsrhZNOguBWO0bT/SXs33xu0M0dZzrVUerqpFqzxgz5W5amkE45I4YmprKMguJH2gDQv9aOVir4xnYfxI8hrWkfVIKSrFhyo3iVg+5h3Wl/+OOoa/3P0gMRU2hmsSNANkRuq59kOT7NIA2tS42LxylkU4fCQ9NnzJioF1vHTUJPIq6oj488H3G8KBWOaeciSTdvNcR2ue21s919FyzbZHZ2+tB20vu92h/Qg9ditqcwlqYxFnZw+HiMIwPke7HwMax5wAyks4+zJ8agO5Y2tYb9ZgK+jtxDDHGyZL9yDOrWW18RJhGtAY+HG4uMHPMaVHcFLeZ4RVCZcFB3Gv/yly+JQna0/D587hWV8FL/uWUGFESNXpPBz8N3HEsU6dhqnD3HXePyn/6WaODv2TGMfi0MhXrFDLeCBuFSFlkhTuz4WRC3nXfJc+Ti++8b5MrVFCKDySWmsmeToOWwXo61lMgT2WgvCJpBhfkmeuZwITKLmiiveNz/HUH0MSaaStPhnr2PsJHTyLXz99FVb9fahgDpY3hohaxdLI0VycXg53XcVaYyVD9BAO4ArK7aGkGf3YdIqFHSnDsA2G+FKp0IoHbBM78yBCCrbWbxURIBNNCAj/uEhaQQ8/v1d++ilNtYI0NJ+4igCQf0wKB08eTyDBpMpRrENRhOL4oEEvNC/H2OQozeUNFmFgRiBC1nadwtF2/+jODd8d3opL5lzvqMvSVFaJKqtED+wN9Q1YZ/8ayqpg1ECc31yM7p/X6lvDoybxaHgQpZE45vZcT0+fi7ExG3qUw3tT0YfMQ41fBn96jMiU+Xj8ztblD00NW+KgOglyi3Djgxjp5YAJw/OJvfw5Mi8dhrvEi65/mRgmUZA9igZrMQM3rAEMTEvjKLA0eMOaDT3SSS+tJaW2nnq/i2GbNGWnH9sJHJMftzJoPLdhlP0hWk+NqptBo2hM067sqwuaNQm6WG9VgKMpODIW35dvUu1RLBk7gLHPvU1qST5fTDmQL/rfwBYrjROGfssRkdn0X7sef1pf/J4SLnlqIDH1Q1GOzeaMBGZMsuhVk0xhXgwZ5XUYdQ6+BEXtMJOkdT9Q9cN6Eg86ELUpjFobxsgI4fwYXO+pcxetv0G0FdStaVzFWCnVLdK7PdM0MU2z08rixnMSLQ3ZWqXj/LhbRNNjHcwDn79l8cmTfbk+mE1WaCEbrBwGvJkIQYNifyplKpOMyhKSVRVOxCBCDMp08XgbGL1iAYlXL2PDRz3pP2cLRVYGcw4dxHh3PpEeOXw/xmbKNwUk1NQy8hubzKLFLB5yAG8dDTfPX0RmaRBDa7RRT2GvHJb36UXvN//F7YEkJkc0Z+7G4mFRIRxBrduE7t0Dzd4bFt7d8nRXdFq1t2NKZ6ejs9Ob/u2Yh6NVHF77YbTqBdomUv4bqr2LSdBj6RGOwfBqrg0O5B1/Gp96FlBkVrLRcDEw6OGmc1gkgUDE4sien7PJsxlLw4KYpdQbEHHqcfQHzDcK2WTkMt+aTbYL99RM5hv/pzziuYfzwucRMHoxw/oKhaJMlaGYznD3G1KMLKoNHz7iKVTfUkcRW4wiXom5nEwnnXX2BBrCJ4E9mUj8yYx0RnKPdRfDjE/IijzDz8L3U+t7nIfVIxR5Suile3GLlcSL4RDOxhNIsGPwLjiGTTqRiKrAco7ADP4Fv++fNKBZ4KSS1nARvpjbMIOX8m/XS9j6FNeexmMNB1KNSQwlPMbb3GKOZ4KRS01VCTWpH1LkDKZKH4xLiENi72Jg+Nc8FIlFAzlAioqQay5njj2YtXhIYes4zsGG5pBUgzLX5Wnb4hzL4RtHMV8bFKEwgXi2LtFUrRWzXYOTzW2vgWgrs/fb4FpWC99RV16Y1nm/Q5VX4vzqAoyZ87YWZpVV8P1S1DcLdxpcv+srosTpSaUZx7u+wzlTP4c+/WMMy0VtysStiUElV+NM+5bXY0/kLU7hXwW3kpJYCHYABm5E33U/dlwQjwsYDqrBj37gIFILHoRwBIc6TP09qeUeNFUAaAwafCbKCeIJmriWIilYQ0xDiLCl6LMRlHZwgZDHwl+nUA64FoSBwI9zrw2lMUOPYRlDMYzeXXC29327sxVXtFS4d6bpHuE3iJydSmR6MZ+E/sGkslLMmGpeOy+Tg98bSWy4hklfLeA98xxKq3tQddwPxJ+9lIRvTLxPXUCVLwmvtw916bkk1awlTitO+WAQFjUYI2OpTDSJaXDJW1iP++06Qv4fWHtcHq6rWD4sgWNiTHJ+qMP8oBImRdd9qzNE2725Nd25AG/UmRXyaOu53t6eKHNnfmiSXxjPgnFnceL3czmk6nPwKVTEJZBdQ/74gRz92gocZWLZDoFqm7rhoDaa+DYpChb14ObiZzCyLK5PvJuTZ3yMdiLUDsrngXN6cYOvgtOWKMYd8jXuEylUb7YZnF9C9uat7dUArkdh9kwiNuEzFi6o4fuJZ1Kg2xdc71bl2La31hf65UJOxq5f30bq63kYn8/GPXIKetKIrY9FUcU9GimlumxBs46W3a4xgaBnPCgDdDnnp39PmRnkmU+DvPvWsdiHHofnlElMCa7ht/yVtzyzGeQk8+uGeI61h2PpGH7mn07IqiZOKxQaW2kOt8dzdjCDQUn/pRaXUU4+B0YyiNUV1BjVPOL5J2vVOn4duJ1EncZoZzSn2qfyqudVVnjnMKz+LEL2Rfyh4QtuirmMm70389vQT/jCTKRSlZCkeuCGTgGdjtfzFAYGa1QlZdQQ56SwwjF5x63gZ/4yqhrupdbJYVXcWVweqaeBLfScnI/9oh+r7zNglNHD/wRn6p8w3U7Fr2Io8LxOfvgi6sLnY9ojqQciKg6ts6nE92PHkaKBAN9FDuAuz3rej0njvIqX+cq+mH5GJeXmDLbY/fgqeCK3+EpJwM8jtkmBVqx3XTQGMVRi6QyGKRcPcJilOdZyeT5ikOVoBpuaOg2LHRhruAw0tt5orvC4vGwbDJZh4Z2qQzWKvR1cR9tcsEYdTY/x3RJ8Z92A+vK7HZ5Tcxc3Pa779IDyKtRrn6A+/xZ9/MFEPvk3zk2X4Z565E6/42AdR4b3QZQxl6HqI1wCGAE/WC46tQInJoRtaoy4EAqNMlwWp2WhlYvusRk8ERpig2gFtgE6ZMLsFIzNX2EGilBnrod4F8eooDJlC9XxITQKhUtMnU0gpABNdc9avjsjng+OGIY36GDorcPFvzlwNBWZMdg1XlxL4QF8Dls7rl1+/KyNDO7xl26b+aLNvrjP9fZpdMfHUjHNYPmQYp75g4dvTj2Iyx+sJbGugGBST8qm+enZbymRNM2aiqHMLZ3Auo0T+OywJNb17kld6lQIxBNTBWlF8fTLr6VfUYi0eZVkloTw1TmsdS0or8Cug5ynemLkh6k0Dbbk+FCFEYxVwa0LAbai6sf/2nucXcXFpZ76Nr22O+TN7lyAQ+cvgtTYox+teX1PpO2KP4Y48dT7yV1eRXiqhfOTelSNAlfhN8NMLFyE8jnMn9gbPFuvlcqSRFbYvVhaP5R7b3mY2uI0+tevJq+wEDPoYIUNBiyNo2bScu65eSPeygjqB8Wq29Yz/OBlXPewg9/emu6QB748O4EnTp3PT879gCNP+AsnvPMxZ1qd33ip5i7GfPhlzH+/umc/ODcLnZOJ7pnRFMh153zWVbpiLaM9lp9VYwgRR5I3Do/HIDCuAv8YD96BQzH1XDIjd3Fd/Xr8aJZb5Qx1TAx1ANrI5YaqIfy9+EBerx6Oi4VBLAc5x7LYE0ed2jrCMdFV/LfuNJ6uO4HPvB7y1RbqlEm9CrPZ2MxaYy3rVT5vWq+z0iymihNZ6v2QGwNXU6Hq+MGq4iNvHREVIVkH2GgWYDiDMWkg3lxNguPDjgzF4yRyqJvDJLMGn/clZvINg51DSdIpJOme9La+JtnYRIL2snlEDgUp2ZgqTLjhRv4TSedI/+d8H7yU/PB5bJ0tbeC4o7BVFV61GEUa/T2zeMZXxyFmPXn+pzGoRRmr2MxmFibNpkqF6Wf4+d43iUlmOgMYQo7K4edel796HcYYLqd46jjAt4x/BtbgUZrNKP4ZsDn2x3vFeR6Xj2Ii/MxyOdjSDFCa33j+t7DZL70OX8VEGGxEf3DdWsN3tJZFzXV4K669Pecaou+C6ChrxncYS9fAp9/gHDK+6fGSuiCJl95MgzK49/VHuPiwSQz4/FtUZTXOtefjnnE0pCbh5mbv8jtSjQH81n6O3yXczcpIH6rq+pLsLMUE3ECQ6tgwCcbWkeCn8iZH6U8wPbXg0yilcQxw9Nah2rZS2Lf0IZBUtbWWcH4FxlnVNIzUzHtnGFNmb0IbCgeNCUQ8FkprHMMiZrOXIx7ezMyJVTg+hSekcYEHrrqAu559haeT+nNB7Wv4EkIYP27HZSi2/gUXsKPut++uw0vbm58Nw8C27U5MUccppTCX1mG8uYHNP3WpWrmZnjN7kv+LyxmwrI6bH01BLVjH5uRynr3pdM6Lm0uv6cv4vPZoXo2M4o3P7iFwYSUXv/8uVSnpVJT3gpCX9Ql9SKo3cbwBKntWMmbhl0TiBrOo5zBu+3UeY2dkcN6q5YxcGmD9nFry0rwMq7exz0zZmmm8dS2mN0iQW3y3AHBn6E4CdM7e2B3xkPEQi4xF3GjfSB/6tPq67jKXubvvcw1bp2h1ZoU8moPrjgo2wJt/mEHljGzWlSWStiQXrHSy3BKcFPD2tkn5pAGVaDPCs4yao0wC73vJKqpBWV5uTPoDU37yPj/JKObwZ2eT0FDFpzGHMLxuJYd+UcpL5/SkLtnAqqzD+CiBAYU+SNLYgw2mJx3A1C8X4XdC+FYWc8MrHnwhhVYa/4LlvPyTIzmjk3uu9YA89JjBuBNGtvfU7fpzB2wdPafr67ttudjVumpY+J7Nzy5PNEzA1VWouOMJXnwOChttuyi9gZH2QCZGIhSaMYTNv4O9BK0SoewfjHVW4Yt5mCw3hY1mBXd5b+eVmrH4nVymhDUH6hvQSvOJdxD/578GhwiT7JHU6xgWG4tJ0AYzjaeopwK/jufr2AsoMBfhYhOjA4x2hvOxZzElKoSOnESD9TXEnYuqeZP64GX01T9hoXMkYc88/hlzA6mqgKq6f5BjH8UFKsIZRoCFqi9fmqWEQmPYjIXf+xAB7ytYTg7l4YMJYvGIHcIliALSjQIylZdlTn8sZzIZ1iqqCbHI8x6PW69yhnsM/zVe5+feECYm1xrX0rcuSGbGGaSbY7mHZP7hv4A88ggo0GgqfE9wug8uci9CcRIAs2NeoVDXk2AcSZB4/GzdMjD9x2x2rsfl3M4e+dKJdlaHiKZ0tqTDc64rKyv3UFLaLxqHq+2Jm1b40tPQvXJQR0/Z5vGbjVgOPupQvFU1PJqSweYpB/Lv05biHjYRfeTkdn2HrRwOc4ZxXUMpYx2bBVYRk22HGLW1MTI2ZBHxRDANjaMdYlU1aBOlXLTaGnSrIgvPai9MqYfTNkGGDckRmBMD5Sb+2SajFpehUBgu2KZCO5r6gI/f3Xk8f/7zDLK3lAMGvdfBuQ//nusfep0vDxzKX/54D1mFWxhR0hdrioIYcAwwm67YrTeM+MBaGpzoH5rcHbQ3P3eHYeFlVhk/1H+JWTaUxUVbiJTWsCSzELO8B27tQGYP99KrOBXCBdSV+0nPCHHIgV/y2crjKPAMJNV0iFm/hQkLl5JYFUPYSKMsxcOsA3IpT/ORXhGmLMehd9hD4nqbzPIIZ7+xhWdPyOH0NWkUZzk8cHgqk96ppKGsgdhTk9E5HqhsOb0mJnE6DgCrjbfnrr7/hVUY98f/diXaC0DoPo0AO9PZ2/dEc17vSJlbUap46T6LQ956jXSnmE+TTiC1sgzX1lRYmRh18aQtWIJKj2CbipgCh89Oy6THx6mkZBTjqwlzY6+7STp3ESkPKsygD7NBM+WkT1h1fAY9/1nOxA0e6os9bBqTTNb3dZQ1pJG5uZoaK5VHr/0p8/p/x7lvP4fpOHgjXhRgW4rzX3wFIyEW58YLflxvZNd2q3Kclozzm0vafe7aY29V2rtjQN8VI0L3eGOi8hP2PMzWMYVVeO3/w3TnonQhBsUoqni9djSV5lWkOI9iuD/gqmF4zTHkJP8Nr1PBVaGhvGstYK1ZwzKzmj82jMNQGocwpv6CKjUQv9aElcuvQxez1vJwu+92NlNCvE5hqG2zxApSZiwErfBhYeJhrVlOvJtMTuj35IfPxjRX4Yv5JUESaHDjmOt/CVV/CkSmQv2fqfC+jlbVLGEdv7b7E8Ihk28wiKMOkyoacK2FOGo59Urj899JVvBG+nnW0Nf/HqPCFzPKTGaQ7sGEBo2jLab53qbGmEWRms+3Op46o45YYjlAH8BcYy4uLocXHk5qQir3xd9HGWX4LT+/cX4DQDXVvG68DsDJ7skkk4yDw2Lvk9Tres7lKbLJ5hn7GRS7f71HW3DduB5Kd9Thnuu9Pecaoiu43iMS43DOPBrL2vbnmWJp3rrtBkaZLqdpxenx8Th//VW7P36FWsFvzd9yWEx/zq+dxzP+Cno6qRiqFmhAGWD4wpiuwlDgU1Bpe4lTW3splbs1tI25MRO1zgsVJmpsPfyjCMY3oHtEUMk2KIXHdlnbO4leGyvxOFuXNXFNuOmF98mo3No6q4HquBT+ff39BIIRehaXklVcgS/iYGTb1KR5iHMj1JoxJFGzzbFYRj2WuxbIavd5ENtqb37uDr1ZlraYd8xG4qZm06ffKP57QD4bvrM487kFfHlqL35zWB/uLvAzZpbN+B8c/j3+Ao7N/g8XnXsf9916N9lWNVf5VvHNIUexsHcGJ72t8YdcGkJeNjgxrB7lJ7MuloaTziCwpoHYD4OMXl5D0qYC0iqCeNMsslc2MGxONSVZJmasgY/Wg04PHm4L3waA0Y5ZO11ZIF7jXEM99SSQsNPXRVtB3ZruXIA36uzermjP67ubtpce8vDB8xBxjmIK0/kqZgwnxTxHckkNYfykBleAgtC4EO//FA5ZoPj3uRs4e0Ic04Yvxb0jgb7P12GeF0DlhLDiwrgxiuBPbHrlrUXfXIl6MhF7bgJL+mwmbWEiZf560isVKbqKK59+Fv81iyhaFuKAr/2UBxRJjqYy2SW1tJJr/vYQ7oXH7NG50HtDd7kXRIPuMud6xw+NB8C038ZyPwMiOGoI6ERscxquMZZYNRKFg1b9CFs3EuNZiMco4yOflwf9i8l2U7m3/kimRo7E5EG0zsI10/DYGzklNIXRkePp4zi4nsOYaOfS1/ZwZeBXrPOsxVYKj9akOclMCPfgC/9yalUtVzRcgRU5jeesOfiMQs5mI+U6kaWBq6lUm9ji/YEEcznx9Texyf8keD4lx1jG1fYV3GsXUW8toUitxe97kNER+M49Fe2ZjYmLH8UEz3w+NML80SrlC2MRs/xnonWIA8OjKFNPoI0GHvHehUkAu/pTylEUxV/Ghe7RPGU+xS+dX5JDDi9kvUCdvw4PHk7SJ3GCewLfqG+42bqZq+yr+I3zGzSaWGL5RH3CSD2S6+3rySeft8y38OBhpVpJFVVM0BN26yeMtnzanddD6farhUN0Bdd7ohLSeNPb/kI/3+Ny/h5YObSGGmxsCowGVqha3vCEKA0kcpgzkBx7KUEiKAMcQ2MAhoZYbWNaWze+xwFznYUa1YCqNSDfC1/GQZmBHhFCjQ1Bvgc3opl5uM1BH5fjcRT6xxa1lIpaGvIzqEmsIr68ATDot66ImKCLayhsq5rXTkwllDSVe355Do+n/ZQRrMBPw9bFzJofjNKke87AiTyD9kzr8LnZE6LpemyP9ubn7jCUNlknc+GWixkzcgwKxad6DIuTNmDpWI79FNb4g8ydOIEjP1vMue98zXWnHomZFYKeQYLVPo7/zb30y1tK4cLTiZ09m5ljx1HQZzTrcgP02BBhzOoaNmX7edqJxcrdyPBDN/L+4BP42VObyckPERN0OHdWJQ09vMw+Ion0RB+H4+w0ze0JqnemjDJWq9WM0+Pa3AveFhbWLgNriL6CuiVa621WC++OlFL79bDw3f3dNq5RrFhgkNpjJbO9U3g1txdjf/YgceGlVN3Sn+SKUgytqbPg94+VM2PjUfxpygJGzMzmoCeKqb/ZYVPNZPJS15McU4axEbRrsvTnGWwOpnL4z5Zi1AYgomhwwNNgY8Q0kFquCXktYuoVh329ELciiGejgeEoYus9hH0ucXhQ2fGovr1ws9LafEzRmueiNV3RqCvq1Z2Zn23zOAAcNQWD1dgqHseY1PR80PMwGg/eyANkJzxPxI5lfGQAUyNzOMyexHGREkz3z2hicVUahrsGxWa8ztv0sl7DVWUoXQfOMg62X+ZhO5OzEmqpUA6OAtOoZaY/n3oVxqstDiCJAcYwXvHeTpz/P9Q7h7LSrCFsbsRV5cRoD4a1mMTYc9hkBdHA9ZFBfOb9mGtMm/8an7LSUNQR5ru4e3HUvZiYnBc6kf96v2KNuZQTjNM5yz6Ijz1lrDWKcYGwby49PGfiUV4aSGEzFTiqhgSdwmh3OI+bjxMkyFQ1lQ+ND/k241tcyyWOOG62byabbK40r2Semsf91v1Mj0wH4F3jXe4z7yOgA6xWq4nTcVzqXsrF7sUc7TkaF5ejnaPJIYeL3Yvb9dtFWz5tLbjuDiNSuv0+19B9g5lGrus2VfKaL/zRfHuYxmPdExfUeD2eR+xHsLBYabzMUWGTmne8BB6rp+G3WTSMLMSL8+PsjR933bNcmr56rQfzZz3Bp+GXJdAjgpMbhtlxmLlV0ADUGFhz/IzHpiRHk7PBoj6gsCIavw09CrdQnRBDdVwcwVhFSkk9GliXm8UFjxxMckUfPjn0LLRlcJp+ktf0lRzAt9sNePGCjmCoMoyGiwh7Cjp8bvZn7Z1zHc1DRRsppTC12TRU6sJqzRFuNqmD43A2Rvjti4VsSs1iwaj+ZJXZXP3pRzz/xpWkW1vIS1rD8H4LUD3LmFWax4jVZWRpm2eOS6PHmgbO/rSIDRk+iodYxKwNU56SyOLeYVb09VPUw8uWGosc3cDQYwLU5MSwOdlHrNIUa9WUtzrTU+ZTLFQLudK5kil6yq7fsIdFW0Hdksayo7EAj/b0tqazR5FFe0Nae9JWWwWbNxg8+XcP87/Q/Eq/TeqBS7jmkxf54KnLmPbPr3gz+xKsck1YWbzo/QlflM5n6dSF9As18Mwfy1iUG+K8PprRx67jcN9POe74B3jr/F8xzF3C1Du/I/uFeehgAGeLFxWBFeOHM/rLZXhqImSaNmb91gU9Q5aF2uyBag1KY8c24HggNqh47+JEwodM5TjbwbDYo3WArra3pl5E8zXbmq4YEdqpjWUqBdv6KUoX4A3/A4AG79ugfBjOTLzOY7j0wuM+S1gnU1Z3MKnxZ/FI/Qxs81CUvgmXJLTKRelNKJVBxLwQ2zgKVCJm5N+Y7ldoEjBZzBT7WF6r7sWdgXzmqJ406DTSrHnUmHWElc1b5uP82xnDTbVjuT5mNe94Xuan7jFsYQufW5/i0T5soNRwyNJpOMBLZg4r1FcEjEXMirzCRVzEK9YrOApSdSpDnDRe8n5IvQpTrTSFlPO1MQ8DhWbrNrNj3AM5z72cv3v+zjT3BD5Ur7ImYSq97Fy+N1w2qTISdALllLNILcJRDg4OhaqQ86zzeM9+jxucGyhVpVzoXAhABRX0cnsxXA1njjGHBhqoNCp5Xj2PBw9j3DGUqlLeM9/DxOQM9wziiGvzTxdtZXa0pac9uv1WXBBdN9C2XAgtBdON7zUMo+n/xtdsXwFs3suyuxdeLrmECPGD/xCG21UMXDQYb/UWgpuP4/6RjzLCWc7BZphkF1wUXrU1DXqdB3VBT9jshUwb3ouHYRGME6pRWsFmC4oNyHJRz20i4fg++BssqpL9xFfVY7ou7o+hTkJ1PZUJcTx32ulc+9jzBH1w568u54IXZ3Lg95+Q0eDyxonnE1ZD+IV+lk+YTCrlP64UHoNj/YSFK3ozqu8L4Dltt86D+J99cbVw2Pb+kPtIMfMz/PzfKdnk/VDL1f/cSI9sD3dccjnxDZVc8OqL5AwoYOTY2XgDDXh8QYqrBzJ94CTc0v4kFFukrCsjttpH2GdSkO0jqSRCn5Xz8FsBlh8wmjtuX056uU0kqY768Le4s8rIOHcapy+o5rGB8Xwba3FaB+ZFtdUB7gGEjBB9dd9O/66WdIeCcV9ZxbgrhoVHa0Nae3+7P1/pJ3+V5uTzXaq+KWTalk+Jn1nNB2/34JT7r6GyKIevThzG8UXfc+nv/Mwwwkx9fwQ3PrScJQeG+es15YyY78VQDrPHbGHo9BiOLJpBzAkfkHnwIobeWYN7Y08+SxzCtHVzUGh8ERdPyMSwbYxSD66lye+jsE2T9MI4fG4NEY/mh8n1FGU5jJ8ZR/x3K1hgFABT0EYZzoFj4MeG9u3rAMXu1kbwaM1z+8LUi67SVcPCO7vs1mThGMegVQIoHx77abz2nwAPSvVCk0J58CxKa8aRmfE+tnkiSteCjqCoQ7ERlIVNPEGuwR/5A57IP3DIRFGGzTgMVY9rXsIE08+rkXR+b2fwjPU0mz1f09dNY4uq4AtPAd/ac8jQLsmhM7GNGo5wj+AG77V4tU2aM4hl1kLCxPN+8CGq3ceYGT4Gy5pGyHc3h3uncHfoN7xpvUoEzQA3k8XmMmqUJlabANQpTUht3crGow1cpZllzsPmPhapRZSoQg4MR1jjhyXWxq0LB2NQqSqppJxsnU1WWRbLs5ZTSy3fGt/yK+tXPGo/yjR3Gm+Yb/CWfosPjA+I0TH8N/IyZ7rZeIjlDW8hBRTwmPkYI/VInrWf5S3jLXz42hVYQ/TdP/brYeHSc72j7dPTWClxXXenwXTjv1v7zMbPdRyn6f2w+8G2Dx9XhV7kNm5h0dh5/GnFOMwxh1Hw2V945FB48uE0jn4uAeeIWtxflWEkO6h3YqHAC9kRuLgC/A4cHET1tKHWwJkbIKLBnxqBEBh9g/jX+KkPOGhD42qDhoCFcl18YQcDzejFS6iLs0ioCHLIrO9Ye6Sf8tJi1o5eRjUhQJNr9OYO/suZai7DVD4x5mBczylsqVhGOb8iMZDY5uPubNF0c2oPv9/f7tXCoy3vbW+HrbiG+kmqgiQfZKeapNc7vD4klYLMJLIqQvgzygmt78mM6mPp1XslEQO+LToaK01x6Od1jP3uHQ5aaPP3q8/j97/uy7h5Vfzt1qWE/N+zYmAiSZ/G8PTPH8HVKZyw/DLGz06gOimG0d/VYc2oYdRRioJJCfjZc+ettd/gEH0IhziH7LHvaa9oK6hb0jy4jvZreWc6eyhpNJ+f9qatcOhXbFyby+ffxGI1pLPIGMVUzxcsv+IMrIY+uErTsPhk/u83Dcw863Uytywm86wHOCSUyvi5Pi58vJhLHk9g+qG5rBoc4pN+bzLlxRReuf158vut5sNZ8Zz3ehWHGPOox8+ykbUU9pzHyDXxhBIUdgAalE3mJk1VfB26Lgnb8BBMC9Njs4demJj0ZfTqAiauisH33T2o0krCf78BZ9LIpsb5xmNvQHFV2IdWcFsXNNrtju5wL4gWXTEi1DCMzm8sUxZhz3X/+6e7BUU9miTQLpoY6sITSY17G8v5DFwwmYnBRsIcB9pDkBNwOAi0g4fPCVLOCbzJGGMzd/gPxrXfxO88gApvwvaczW9VBosiAebYI5hon8hC8xMi1pfE2AF+7y2iLPA7bgw9ydFumHcxSNCxLDJtlmMw2JnEYHcK6ZHpHKUWUa1z6eGdCSjetL7liEgfvrY2scBcRYbrwa89HO2cwNvWhyRrl3JVi1d7yNCQ4vjZZNZhu6uJEGaTUcj3Hot0HaBShXFw0WgiRPiIxwkST2FaFbHEkqfzqFE1ZOksNrKRP1p/RKMxtUm1qqZMlXGS93iy3TrGR/y8YkKGzsDAoJ/uh0Jxsnvybv1k0RbM7tdbce3NnmuIvkK/sQBpDKRbCqaVUpimudNguqXP3b4xoXnvd/Pguk3Bdk0damMRocee4NvLX0H3cKndlIj/7GvZfE89EW+EtSUGoTILz+uJ/+ulXurb+t1XlKMOqocq0H/KQEU07kUVmCMbMOfHwAU94d5CeHEjnJJH8iaIWIqCnHTSS8vxh11sy8A1NENWraRgSAm9f0gh5Pew8NRcxpwzjOG+Or5qeBWTJAznSD7XhzHcezBjLBf3x8PSemlUFtrRmKZd2Z0FzaK1N6vR9r+DfXIKk4AJOoIx0qLsvHhqA5Vk2wsp6fEEvpoqzj39O/7+nz9gN3iYPOFrBrqLqVMwc2IySU5vDsifwzFff8XyQSdQH2eSU2/x7PFHsCYjmczSECiFDbw9LJfU9UPZTAprB8ZxSthl8iAP2rTbuYv1jkKEeNx4nDTS6E//qLzeoum+3Jp9qed6f51zDe271gb95QNW3fYhRYO+wan38Gbs+ST2KuSpjZfghL1ofwPXP/xXxpVuYvwcPzf8M4WPf30P/rsiZOVbXPlwMjF1BqnlJp6FMfRdvYYaHqT4b8cz+4QRfF3s5aS4t/jwuBLW56Rx899W8fDPM6j3e3jgFzYp2f246roNGA2KTZk2sb5aQgGwqjQ5FR78i0yIWYN93gk4PzkMd9FKjBnfo/v0bKovNK8DmK5LKg4h26GhomLrJpU/1gmi5bqW1cLbrrPXT4C9k5+1SkGTiKMm4RgTMcjHdnPIjv8KsAnpsXiowiCXIOcRy1+IUQUErb74nftQ2mElA5inxrICxa3axme/ALoMiAUVRw/7Ubz6D4yqfYgV9GKTvojLeZew2sRK/2LqVDXP8S03hD/kqaAP1xxNte9+PnRn80ZwEj9zU3nAupBsYxAJqpJrwkez0KzlXc+HVFDDwc7hZGqXecZiqlWIA5yRBNwv6R0Jc3+Mh6BSbDHCVKog6TqZfCuChUkEm4FuD+6re5qj4y6hQpWTqFNwdBWVRg0mFj1qe9A/rj8TjAk8aD3I/eb9vGC+QJyOo5ZaalUtFhaJOpEINdRiU2w0YBFPX92XdWodxRS3ev4fMB/geeN5HrUfZZQexW3mbXxqfMpzkefII6/LroP26M47eXTrOdcQPYV+YyDtOA7BYJCioiKSk5OxLAvDMNodTO/M9oFz84J2+1bt5nMJm963ZDXGgy+gvltGwqYK7qkaSeSyU0he8gyqvJLHr+3LAxcXcO+1FZSTxZBve9EvZibj1nhRYQUxDu7U+q3bg5R5UfkeOK0aY4Uf6gx0XgRu2QLDwiivxvVoDDReG+Lqawh7wB/WVCV4uP0PNtc/UIMKmjzyizgeuOAn2P6nqfR8QbnRG6VPw+PmMEV5+FjDAxGTdAVTTJenIyaeQDwTumnmizbtzc/Rkvd2paU0GgoqFyzkh6+foG5SHic9O5onLjyaX9/1Ab96fxDLfhiP4Q0x8ITXKUp6k9vu68kTl19KaPxRjP1rJePmL+HI6X3JKevHP3/fi429Y+j/eSU9ir1Uzr8Jx/FRPChI5sZvUd/H8szJQ0g6RlPheZeJzkRiiW01vbXU4uLudNGwcspZaCzE0hZ92TvDvnelOwwFbX6v7A7Xcmv25znX7a18/TH8R67iF1yfWMX6LSksi03nxau9mJ8uxJmeTuS4Twg3nE9q/kMc/43izWNrmfqOw22/que2P+Vw+puxrB/QQEqFiS+ieerMSg7/IsLdC9/gL0MOYErxCMrT32DqrABbTtqCazgsHB3iqI8C9FvXQL+Ni6iMjUf5oX++hYFNSUwMiR6NJ+ygY0CPziHyl6shPhb38Ilw7fk7HHMkEqGiooKysjLOLSsjGAxiJybSq1cvbNtusaF9b1VUpee67brnPte7po1MtJtKxDiBsHHG1vqyW0hh2UR6pM/Hb91BxLwI2zwQP3PA7Q9mKj5mYuo5oPwMMY7g54bJYEPjUYqI5w9ANab9MYb9BRqDh/TvKNYjWW4cyr2MY4tK4QD1LQ/UD+NB7wVMso9EqQU4Zh5aJRFwN3BGeCbT3SRCVOGP/AvDcxKudSx3OK+DA8+Yz/CU9RTfmzOZGrF4tiaZTWYC0yI/YLoax+jDEOMozg/8kxAheups0nUiYyPVDHaHcktgMUvMOgr5JzVspFo5XBI+gZtqB/Ou9TCDyk9jekEPXp78MgvNhWxhy9aebR2hj+7DMrWsafvL0Xo03xhf4uLyqdegn87moeB5PKUe5KfqbC7yXsQWini14XyqzWEsMks4XB/OUrUUG5uNaiOj9CjmqDnUU0+BKiBPbw2uo63nujvUIVrT4WHhnd3Ctit7q1LUGMQ2D2YBEhISyMjIYMOGDaxYsYKEhARSU1NJTU0lIWHXK+zujp0F247jNBVshmFgLM/H+u0/UMWVsMGHaggzYv1w7EEng+95AHrka27/11DOeiLM7Sue5B1fJn/c9EuGBxdgAp4ahXlOLgwOwYAQelID6rRqMF3IcsADzideLA0UmagST9Mg2LA3SIyjaQj4qI8PkFe2ki8PimXGhGt46uxz0cQTGzmFbwOP4thZaK0IucksMLeQrTJZ7yp6G5qPbINHwgb+vKEcqAxGdsqZbb/mw/e7m/bO9eqSoWUd1NL9oVAVkuQmM2fuCvouLyEwOMB9VxdR7TuZXoG+FHreJSdvDYOGLOGBWcdQ8bPl3JT6LRf+tw/zx03kqZOPxKnaSEPKAN4/IJGiJJOTP3uN76a+ydKKi/l22EHUxFsMTDTId4/BKgszYF2YbzJnsCTnNWYZszjIdxCppO6Q3ggRbvPdRoQIvw/9nnnmPEaqkU0ty9VU85HxEWPdsVzjXEOsjqVMl3XJuWyv7pAPGisT3T243t/nXLfntzMwqF30OU5kIhnZdeT+9p+807uQ+NNfIXza68SkpaP6JrM56OPDXhu466503FKLN06u5e2fVHHyCxnUbejD6uz1lOTWUJgb4rr7q+i7xGHgv37K8dajpK41sU046e14kqrhjVNriDMNSlM1CWtMRjYovCEFKFwPvH/EINaMtP+fvfMOr6LM/vhnbstND+mEGlroXXrvEEjAtaxYVteGBQTdtaw/Fd2176rr2lBRd1HRVSkpVEF6k95C7yWk9+SWmff3B87sTUhCem7CfJ7nPspk7r3vzJ23nPOe8z28+P0BpBhwzLgffIs74BRFIScnh/T0dNLT08nJycHLy4vAwECioqI0Zz4Uj2or6WyvaYHUilAfi/aG2p8bvKBZCdRn0KFMoIDRIEwgy0iSRFhYGIaCIoxSCg674GL6UUID4/D0OIVkkJBEMHbLazjNs1AMvQFvXharMShbMTiOIXEBh2kWRnkFCsFg8KONZKO1wUlfg4MuzndobRyL0zyXGOU0U0UKiskDmRcwOpdicMYjicsYlAP8i10UGX+HFx44Da2R5IsY5F9AMvEHcQ8dRUfutNyGh/BgrP9lptt7MJIpSE4Jp/lpxkhRPGvP4w3LZ0yQh/JeziEkUYRsbM4Rkwd7DTvo4NzPS/mhvOSdhvViAOfTLjOtqYlUZy5vDn6TIkMhgxy9uE8eg5/UmXct77HDsAMjV3O7PYQH0Uo0J6QTXDGkYqMQq5zGNMsMThgLOel8mj1SKkK5RLbtME/5enLQ5MEr8iu87XybE9IJeogeAHzh/IJz0jn6iD7ab+VuTrAbWi38RgkLL8uYds2bNhqNeHp60rlzZwCKioq0ifD8+fMIIWjSpIlmbHt5edVKW0szttW2K4F+GAP8kKT2GC7nQt5JpFOHMb7yEVJmDkgg2eyYLmeS7z0O40Pvkz1lF5kvtOaHyFCG7LETWZCFuGJBloyYehWhDM5Hej8Yg0GBZ1MhSMFkVOCKiaL/hCIUC1bJgSTAUuSNw1LI4mn9mbR2L4/8vSmHOzbn3ndjQAQBJuxyXyIcHUm134csIjFIdjIxU0gu/gZfOkiCEJNglSyxymLlETzYfJ3yRjrXp7J5mw3BICk5AB8zHGOeeR5RKR3ouqGQIt8QznfdjdNvFwZbf3YY+2K5KZ4JzoUMbnOSK1tuZvPhXiy/ycD4PV+TnxvOp6P60v1QE4KLFHY3MeJrd2I1/opsSsI/fS99DvTiUGcfbJIBS5IvXQ7k0/H8Zbxbt2HxzOFstGwk3iue6Uy/tr1IWIUVo2Rkn3EfC8wL6CP60EPqwQHpAB2Vjvxg+IHz0nmelJ8ErpbcckfcbaIuDdc2NoQJuyxu5FJclUUS51n1vcyVy81w2C0Mu+KB9+ufY8/zJrhIYWizJM4+8ThHB5xh7lPtCMos5IxFuVoma/H9/Eu04WHHPMxZEsLLyMi1XoQnm/j61iKcETmY9qawq4uESOpJ3/MHGPdjM/r9LDAX5lJkkXnxpXR23OTLxaZO/vxBE1oc92D0xl+53LyQj0aYsUjN8TyYRVvrTnx9fZEkiYKCAjIzM5EkicDAQJo1a0b37t2xWkuvO1DyWVbXAK56LdXVbKkM9TUWNMRn1sPDg7y8vFr9jtqMRClXsNdouUZjyOgxGZMjHcX4BJ70IKvgWzxNb6HYJfLtPgjDQry97HgY/oVELkjW30rY2BFSUwzKdpAsOKR+ZJsfwt9gQRgiQUnlJudCCuV4npObEik2M5PFKMaeGJSDyIYBGDiNIkKRzfeh0A1P9uA0PgaiALP9SSRxEmHohGyaRH+lPyeKzpKoTGKtZSs2KQyjvAGn+X6EMQqDczlP21fwZ9ohDCCJyyiGzuSJt/jThVOY5K+5mB5Ox7yWLPLqREhQMM0j/4WnwY+mATcjSd9hEHaeLExnnDMZm3kWRkzEmeLYadiJkARjlDH80flHHpYfZpx5HCdJYkaRnU+shRRKsNy0h7iCp/B1zKeVYmS0Mp40jtBFdMEHH3qKntrvEUoooSK02G/nbnO2HhZej9TWpF/eAKGGeBuNxnK9sVarlWbNmtGsWTOEEOTm5pKens6VK1c4evQoVquVwMBAgoKCCAwMxGw2F3u/XcAddgsACy12LFV8xopNtKFB2P/9GtLWXExfHAWzFxgKEaHBGAICESYD3086z+q+3hS8ditHRs3DGZzP01/tIb/1edYPak/Lo0Y2Dsxnwe+tvDmqAK8sA6ZHArAUQu6+IC7ca6bjq4WILjZOZnSinfMiv4mNI5uM5DTx4pMXJtE68ALd/g2Xw1vgY/47efYXgKY4pCJS5RF4k09fyUSaCCaNw5g9EpkuDeUl+2Ak4CaDYIvTztir1birdnN0NCpbisudQ0VVSo4PvsIXK1Z6bWlJcFoRp1rmMiCwDTHfncJ29BW+vq0z3Q+2YfmkE5yLm8appRNRtkSRIcvsGXmAwgvNGbMmg/6H89jTz5e75l+i06UMlkycQcT+AXRY15ms3kWEZNtZMzmU5WOC6ZfnIKCrBUPTFjygdCXKEYWSr2AS1w6/JkzMtc9FIMgiizOGM/QT/fjB/ANXpCsMYQjTlGn0FX2vuU53w90m6tJwtzC4qlIXO9fu2tcr27Y3LZ+w9IkVBMWNIe9cC77722sIJML8D2MvbMnO4x0Rs9bwYpcHSSycQkuv/7Bg6nl+8evFqSZDiBKZWJ05eBY5aX3WSliKmcFbFbrvdXDrd//k7KEsLodKxEcbsCUrZPuAd4ofwlrAzPcDmf1uIKPXnGVfLxvHohysHdUSoyzoflji48dT2T48lb753zPr11maQS1JkhYVFxQUhLe3d6X6VlmaLYAWQl6bxnZDGAvchYYWFl7R6jdlpUXKpluQTbcAEBQESuATKM4wZEceufabCDPfBY488p1WhNQEgykUs8UHg7EDTuM9SNJlJFHAg+JWjjoszDddpJP9HQxiL5I4zQWmsF3y51fG8qi0HSGFYBTpgBNJ5CKxG8EkPByzEEiAHdkwHEmcQkgdcZpngvS/qNNp9nAG2XsTZOiNUf4e8EYxDsLojEcSBShSDzILRmAVJzlxcQLnr+z5LYJ1FqEtAung749BAkkcwWw7hpC8kIQX/8oLY68plYHOkQipAMkQwoPKg9xmu41hnsMoFIX8s/CfGCUjCgoL5AUcNqyik+M1/uZVgLewE6YY+bv1V34SL+PwGML9Unvud4AkJyHJ36CYbwPJfM1voOJu/fSGDQtvTMZ1dQeIirTTz88PPz8/IiMjkWWZjIwMMjIyOHnyJAcOHLgmhLxIMpAsrj7oRYCl2lf5v7YwyA/noJsQvy3Sjf+5iGjig9y/GQvmzCatuULm0L/g5Q23//tRvhr5X0RePn/tfSujmqXx4mc/gHByYfF8vNv48krzfyGbLbw560EGX9xMkGED0mHBvhFtyfU00uPgKfb3astLzz6E0ZTCgcBm3P7CA3g/05ErhuYo8gYM3k+hkIxRUrAVzaLAOZE08pHIA7k7fjY/RloN3OU0IAsQEhQZzdxvsEOdVA5u3FSlFJe7hoq64jo+NBVNedX2KgyW2Zy2mO2d87h1dX/Sz58lheNYlEukyCMouu3PbLrcFG9Zwd9m4PLEAxT0iuapVfvpuiKHf8wZRZGHkYe/P4HBfoX/9vYnsU1nxm0y0mvHAY53DMJ6yZtRFwsIuCUQMcQXGZCAYfIwsu3ZHOBAqe01/OYoCiKIBxwPYDQaaSo35aJ0kZvETQwUA+vgrlUfd5uoS6MxGdc3qlo4VGyHUh2r9hpOU9RSMPChD9jw92fIzvcDWWKUYwu/SCGkinAMimBZQH/usaym+e4MRgTC0iFH6d3tY27ZWIBkcuBAotAq2NLdyICDgoHbPfjXSw7iJls45mllU2hz7rp0jlY5uRiEEewKCgIPh4G3ng9l5OpsTna0c6hbEZEnPQhPNnG6hYMsq4xPvg9du3alSZMmGAwGcnNzycjIID09nRMnTmAymYo55svawS6N8tLIXAVSa9LYbghjgbtQ28r/UL25uzbXyjYBN9s9EPyBRZ42wrzAIP8TlGystrfJK2zPuSu9aRf6NkUFeylwJhPos4UrBj/SpFtRAEk5glHZDiIDIYXSVlJ4wZhKKBZk01uY7G8ihAUh9USR1gBWEHkIKRDF0BnZOA1JnAcpACSBkJoVa6Pd42OaUIiCEYehGbI0lNzcXKRCT/wtRZy5YiQlG3q2tRHVag3tO/TGKv0b2TgJo7wDyf4rEgVXd98p4Oo2dxq3yqO4RWkGpmAMzgSMys8g5xIkLpEgLQLJQlNjU62/hogQhst3Iky38p+iA2QZs3ne8jyysCCb7y3W30xFM5GUCzglPxTzlDLvvzv1U/X5KvkMNZTUy2rnXNvt9nr9Qao66ddEeazqYDQaCQkJISQkBCg7hPydkDCaNGmCn1Q7xqM2wXZvgujUG2VaCC+3/Ipj0jEWtFuADRtNJ0Ug+2Rh8C3A88UjnJnzCQNnPULP8GZsM3myfvppTn/Wi2yv00R4Cl7yW8q3wy5xIKM58TeNw+J7CiVlPPm+PpjNViIMK2jj8QTZ5uNYHR1oU/gWp6Q8DPYpCLkfgZaPmC6+4FNDEIVKK4QxCas8hgARSUfJwTseThCQJCSSkk8T3L5lrdybqtJQw0vV0noV7c/uvuCGchaDfkYG3D2NjpnDONx6PfNvMlEo/xmLZTPhezpzIDkAyS5T5JtD0Wg/wka2oNAnjqIWpyjyb8qAPd3xEmbkJiY2dPRi86goWh09S69zFv76zAZWjXYSlfUgf4wzYPT34ZDhKCuNK5nonEh70f667S65gGkqNSVCivjtomrwBtUy7t4P3GkxUR1qe0HuzvoK5f1+6vzuuiD7Z/4/OWk8Se6j05nxwMe8d7g7qzJ92BPfndSVdlpdPIknRdy+7QTdzYfI8XewbVA+IVIh8z9LpNND7emw2szOwObsiz7K/r5ZjH8iDIMCgxa0J3veI0zu+1+Oj99EwTF//LONKNgxOCRkEyhWictPNaNpWjr5ZhPbB8sEpjnxyzbS/ow3tjY+eFDE7tDdjFZGI/E/x3zr1q1RFIWsrCwyMjK4cOEChw8fxtPTk8DAQO1VMgquIvfvesa2ek5VjO36Cu9siHNxZSPIqkJl5u7rrZVdozmru1a2A1m/NcvB1S0TxTgKSTqC0WjAzzcLP58NGBQzdsdwbEUtKCrawO9N88gwBvNUXjrhPt0RJhMSViRhw8hOxtIWg7IHyXYRlBwk8lEM7UAKBq7uniumcb8Z0jYk5QxO0/0YHd9iLpqFw/oeiHQM4iKycSJFNvGbs6sL6enHMRvTaR7eHP9Qb8KbD6VF+1F4FH2NkCwIadVVo1q5hEGcBGQE/iAsKIYBSJwDIaMYeiObbseg7MAgNUEQidn5CiDTUpmOMLTQ7rvrf4XkQW/RB5ywwrECTzyRDbL27EuShNP8B4zOlSjGm8q9/+60U+yqFdEQaRQ51xWd9Gu6PFZNUlYIefrli5xLOkTKdULIq4xNwfhNGiLKE/uCq4v+LileRK0NpGOPdlyxp/PLN6FIMc2wtTlMQvBqXh9up4doy8+LjXRvn8Nh273s73gMo9OEaaNE+2Hn+MuAAvYIP7Js4VjljtiCPDCgIJC4YtlJf8NmthnB5OhNLj4UOSfgSy6FBJFme5JjXh2ZW2jjL3yKLI/AHwNdjJd4Xmzib6ZJeODBKEVm1aVTGKLcs4xAQ6MqgmYNwbguq41GjAQ1CeXiLQ72J/cgR4qh3/6BDLadRe55im1HPMi1haIcNHLhoRVkhSTy5Z1R3Pl9W47mL+KYlz/Glr2IuBTOtLUyB3u35x/37WLNTTYuBu0lIC2L3Y6bCQu6icvSZdKldK4YrtBebl/qhFHW+KQoiha6qR5zXeC662/QEAzXxrJzXdsiSO7uSFPbVp42iprGFWoIZbN5M6+Y8ujuKOKHzju4aLcwZcbXKEaZyy2NOIs8KXKCNU9i08AiPpqRySOfNKHVWSc53uB0WinMbMYLN7XEv/tOZFGEzaQw9QOJFP/P2fv7AqYe8yMlxMGPMQWEnDMy5terJSTPtIcTW4o4fEdzlk0UPP/6OTb1s3DTdm8Kmrfg8xlevH3/Dp4edIS/Sa8xWZ5c7FoNBoNmRAOaargaBbd//358fX21tUJAQABGo7HC97I8Y7ukQJrry/U9pf0+7j4WuAu1XVYPrt+fS3NK1cVa2VeCnzxs2v+rCENH7B4LroaFK4cwyBswez1KqO85zPbtfK7M4Qlepic/kJNyGd+gc8giAGFoA5ZYDOYpmO3nkJQrCENrBF4IY1ds0qcYlF2YnPMwKAdxWF7D6EzE6PwGxTgMg0hCSP44FSumgmdwOPI5eDaDlIym+Pn50TL8GD1bf4rJkIYkeQGeGA1bEI4jSOI4kjDjNHbDYXkKybkTg0jCZp6LMI3GbH8Jg3IAhILF/jTCEAxSCLJxErIpDUEGiqELiqEnQmpd5j1z7X9NaFK6U8xwBw7LHRgwIJVjtLpTP1Wfu4Y6Pzf4sPDyFvhlDRCakEI9GtPlUVoIuVpyo6wQ8qpeg2FfAaZv05CbGLjUNoD09HT8P8wiZIsB/9+Zkad0IOt4SzxPdcI8YBvhWyeQdcKPwXc5WLvUQPo5C9KhUKyBMkpoGr4dc5CMJj7Pg6/N58iR/8XX4lnsQAvOso8+dJE9KbK9TW7BCMINP3DReIJgw3LucZzkO/7IRYOTrSYHR6VbUGiCEQ8KMfGzLCGKbmKC11ZGM6LR1Kh1F6pSistdd7NcuZ5RYLZ6MPcrbxZ1LuRscy/eftaKPf0R5P97j5AzgfRzZvBfcYG8gGOkNm3CmTA7W5ePp0D48MIzCbT1OMqsT4cTkmLnq7uOcSlsMEZHa2TLAiz5PZEudGOwPJiWSktaiuJRFrIsl7pgLTk+lbXAVQ1vdYxzp77gbu0pjcZiXHt4eJCfn19rn++uxrXr/F5YWKgZka4RaKVpo/RQetBaNhJtBwkLEWYzLUQWpjQnIc2OsXlgAQdabWDS+54MXhPIofZ+eClOBLB+iMI9P56hyYYgNr+agmLwxinDgd6ZFAzZTH4wHA+ZyJAL6ViLDOydlcmPb13mm9uaMWSHJwWWAnrtdeBZZGLQVhMhyRbORNpZMyaPSN+m2KIimHTCmx8G2+msdL7uPTCbzYSGhhIaelWcyGazaSlnhw4dwuFw4O/vrxnbvr6+lXrmr2dsl3T6qf/v2vfdaUfM3VEjyGqTkuvmstbKgNZ/1FdtE17GlCEMkVfbahyMYhyMQd6FxfYAkrhEBymM5eIRnMG3YHSuRyieXM6YybnkbmRl5+Prc4z2LUMI88sBUwdMYh9G5yokcQyj8yskkY0wtEUSJzHIq5DECQptIzHK4RTZLFxK+xtIAwkMyCS82VA6dWuG2WzGbE/E6EgGHAipOZLIRDF0weT8L1f33p2/GccheMivAg4kqRlCCsUo7wCRhaAFirE3wtAN2TgIg/IrZvtbILKv5kdL5qvq6iIDp2kGV5NEzSCVnihalr5CRVI+3GnOVteWN6xauDuV4qqI17quBoiaxGg0EhwcTHDw1RCWoqIiLf+qNBVyT0/P6z54iqKQnZ1Nhncaln65pAbnYzudSVBQEP43t8bb24H19jAuX/Ym7ZIJ3/UjCRx9lD9HzGDsS058AySm3e/kyG4LQZ/8l0uZ+Xi+9B/Se9/BPfJGvhT3MtOeTCFf40UwJ6R2nKQ9Q9nMJ/YFjJM2IxNBktwdK1k0ly0gwCQZMAovutq70k8+zadIODAy2KBgMBZRaDhJf67miTd0z5a7Udndr4ayc10eAsFO405uu9KD/9t4kPs/9CTfdhKvNYNxOKx0MNroa9lH+uZ1LAm341OYT2bzE9j+EELkJg8y/a9wso2BjUPOMnhnMHmJPvzjifkYHb5I4R3IG+pkddg6BjOZ1nJrhBA4hROn04nD4eDUqVNX0z78/DCZTGWKJLpeR15enpZCkpWVhYeHB56enshy8VCwilx/beJOE3VZNIQ2VgSLxUJWVlatfb679PXS8j2NRiMWi4Vt27bh7+9PcHAwQUFBOH2dFBoKaSaaXfM57UQ7EvKfw+J8BYGJPdt70S7zNFGOYyw8cwfN5GOsezSb+/9jJTTLhqdNAgzs71bEw59fIidAYZSyg6h/haNgZ32v9vQ8XsjmIa3wtBl5ZE4af7zzJF/+IYLAdAPNLxgZscUThxlMssQ7L2XT7HwP/n3PHtKCC/nm7mYsvjWXL/90kceey2Jj0Ub+aA+o0j3y8PCgadOmNG16NT+zoKBAM7bPnDkDQJMmTbTd76qIo7n+13UBr5b+LFnyqyGr/tY1dRERqvYfNQ1MpSGtlYUUAliRjbE4LM8hpDDAEyE1xeT8mpZB82gR2hKbdCdG2/sYxFkUpyA7Kwlvr0Jycw4S4rMQg5SKw3gvRWIsV5IjaWJ0YJJC2HcqEi/fuXRp/jJRkQeRPT/H6FyNQfkbdtPrQAgO8xwUQw9kwzCQmoB01bknm36H2fYEBnEEg7Ifk3MhEpcQUgsU4yAQDqAIJCt2j3kIY5R2XYrBgmwYhFH+GYQDmc5YbE8jpGBkQ7+ru9xSIHaPH+E6faqy+grqmOoO82J5xnVDoEHvXKs33+FwFBuMisn8X0fRuyFitVqJiIggIiKiWAh5SkpKuSrkBQUF2qJcVSENCgrC8/EWdAkKwsPD4+oXdADnmKv/26utQvf+Cm1yJ/Cszyh8flunFOTBdx+akYBn/mnnH3/2w/b641z5yEGqX0fyjT74U4gnMIf3+K+4jZXSeCI5TQSX+V7cxp95g910xoSMjdYspQNdxEGswsrLhVcYqbzP7dIJ/mT8gXssgmmm5kBz7T409JwMd6OyHnN33c1y5XptlJB41P4onp3SKUq/wuRd6xn3dVtOKT6cNuaw450lLAz8AdmZzc0/DeFks24kjC/ibOR/ODG9A6//+XaWTbFwdMBxCtt5srd1GpiO4TQ05U/Ln+N85x0c73mYoORWdPbrDqarE5mvry9RUVFkZWWRlJSEoijF+qyXl5f2XNtsNq3fZmRkIMsygYGBhIWF0blzZ7y8vLTJsuRCCeqm1E5puMMEfT1K7ly7e3vLoi5KcdVXlEp56VwGgwGLxcKgQYM03ZK0tDROnT7F6ze9jtPq5B/Z/6Cbfzcs5v/t9EjyXszOhYBAwsH7r73KIak3pohTtEo7Rr+8HSwveJ60Jt8QlpWP3QA5LT052SafV14K4ot7cnh7TihCGEiKaMIzH63k5ZeCmLTKB5CITC5ig7CSFqjw/Gsh3P6fcBSDYP0wGx8+lsmtG7wJSr/AG38J4Q8L/Oh43MzR/p6MLRxEuKUl/vjXyL2TJAlvb2+8vb1p0aIFQghycnLIyMggNTWV48ePYzabi+VrV0YcTf0O1/+6jkVOp5PMzEySk5OxZOdD/C+I7lHQsmmD7Wu1TW0Y1yU3niRJQpZldu3aRWBgIMHBwcXqpDcEhKElRV5bix0z2d/F7Pg7AhNgABGBVfwbyXgJ8MFhfhzJfDvJWYcpyD1EZsYAZOFNWnZXArxWEOifiqd/Cp6WKwzodRKTWIhsGIJR2Y2iJGFQliOJTAzKKRRjCEgByKabS2lbC5ymP+Jhn4GkHEdITVGkDjg85oJ09R7bLX9HEucw259BGCJxmh/H6FyKkPxA8kfgjUQeBnEKMF8NZxceSCINgXeV7lnJvqooCrm5uaSlpZGenk5OTg4dO3Z0C0d9Q1/f14igWV1R2s60h4cHR44c0XZuQ0JC/mck3gCUF0J+4sQJCgoKsFgsKIqCLMuaZ79NmzZaDc3yMO/J49KPHhQEenDxtESrDoLXZ5kJbwGTxxayeImV+W+aST4v0atFIS/96STG+z7Ff3A6QpI07aWPpcdQMPCg+BQQdOFXEkU0Ek4UYB9dWccI7uff+Mk5gAmBByHiIivNBzGYOl3Ttobe+dyNG0EtvDRaiBYYuvnzTd5ODgc1YZRJ4lIvBx3OXGJ7yDlSfKy0Oh3J6J8HYR+vsKNfGhgO4rR6YPNdz/bRCRT5WzHmhGHw3AdIeNmH0T6pFV1Pm2jnk07XbwIw35SPiA7UDIMWLVpoC151NzolJYUjR45gNpvx8PDA6XRSVFSkpYF0794df3//axyGFQ0FKy1PsrZoiMZ1Q6W2RZDq0pFW1XxPLy8vvLy8aNGiBbIi8xM/cVw+zp88/4Rvti9/OfUXQoOvlrLy97GAVARCYYNZ5td8PyxmWPzgBZq9HsOZvHakPlvEHyIjSF3+MCvHtiI8zcTk5V5IQnA61MTBDjJeOWY+/p3Cf/7YFJOd30r5wJNfCO5c3oqo804KPRX+PdVMh5smcOn0D/xrZjBhKSZ+7VFIWKonLc9Z2DWkCX97+hIeHoeYZ/+y1u6tJEn4+/vj7++vrReys7M1cbRDhw7h5eWlOfmaNGlSaX2XwsJC0tLSSEtLIzMzEw8PD4KCgmhhkxAHD6P4+yKaXQ1hry/HnztTE8Z1eVGcBoMBHx8fhg0bRmZmJqmpqRw+fBhFUQgKCtKiJC2WmqpPU3cYlEMIyRfZMAin6UkM4jhCAklJw2mcRFH+frIzd4NjLZHBi0jNGYrR5KBDs+dQBAhF4GHORQgTwr4FTFkYxAkk5QQW20zsHv8CFASBFWiMH0LyxiBOYPPceM2fFdNEJOU4Zsd8kC8DCkZ5OQg7SH6/7UobUIxROKVnkOS9WG1TASuKadx1d63LwuFwkJGRofVRWZYJCgqiWbNmdOvWDavVWqmUj9qi5K56Q6PaO9eq0VYbHq+KSP736NFD25FNSUnh+PHjeHt7awNEaQvRxooQgvz8fHJzc8nNzaWwsBCr1YqXlxeKopCXl0dubi5ms1kLQXXdISuVDCd/ibzCpS5N6NAjkFU/GvklzkRAgEI3m42z6V6cPinh6SHwseXTxWBn04n27JBGctPgg8BlQDBarGWDNIihbLpagkAAdiNY7RiAXuylF3uvXgceSHjwDbG8Is3lDiWI58u4XnDPSdkd23Q9LBYLTqcTRVEqJIDjLqGi5VFRo+BY6BkWTwngvKE3q0em8OP4VphtQbTKSiAmri//fMSP060ucqLjGhSvVCRnX8KyH+PAtK+wCoEzrS+9DqaQ3i4TubU/bYwFOH6XTidzf9oVgdmSgRJqRSnjvroavOp4VZpWREWeq4rkSJZmZNf0M+vuzwY0DAdARahtR3dtGte1kc5lNBj5kA9JMaTwR58/IskS4bZwctJzOHv2LJIk0bLpc3SM+DMnjJk4nn+VsMVTsf/nQVLlpii+uZz+fhxtfhyB7FnEp09c5Nl3AvG7ZMKAxJx5Vgo9BUc7Ofj51rPMXu7BLT9dpMMRC9/9vjleRYLm5y0cbe0kbqKDUVuD+GnVWDqO/YZLTY2khjhpc87E2ZZ2jE4DKcP608ZZwJ2rh8Dw2rjLZdwno7FMcbQTJ06Qn5+Pn5+fdk5p4miqenlqairp6ekUFBTQpEkTgoODiYqK+t8aw+FECQtBRIRov7Msy0D9R9m4E1artdKOsuv1IfW/UDzMNiwsjLCwMC2iIS0tjfPnz3P48GH8/Py0dXRFNmLcAbvHuxiUoyiGPhiUXzHZXsThNFFk98FsfBUrEs39PMhx3oe3Vy4e/h0wOReBMKMYumIXo0jLLyIvD85caouPxym8vAPp1HwjGDyRRCZGeTGSSMZu+RBh7FFmWxTjMOwe36AYyq5mIwztcZhfwOx4CUk4kI2TUAy9kchDkdpjUPYBnhjlBAzKVgTeKMbOyKbRFb4nqvNe3Z3OysrCy8uL4OBgunXrRkBAQKnOevW96n/VlA9XR2dt9tWG7viu9s41XA1brAnjuqrlsVx3bh0OhxYatm/fPoQQDd4bVx4VCRlVKS2EXPUql6VCroz1p2l7K+HNLSCBt68gvIWC4oSj2V5YTAqhbSXshXBW9mZhhwjem/sgIeHR/LBmPF7eBiTgef7J8+LvSBT91hiQDHb+Z2mrnVMgYUOhKb4UICMRIO8GBl1z7e5sXDdE1P5st9vx9PS87vnqgtudDZSKtOuCdIHUf+9juuTPrslOLJazJDfzQZHPYxadMMq/cPfCoSyOLSDDtznCIxNvWzZ3L0hnf59TUHQFvE7RN/92zgdmki+OU2DcwNEOveklX61J7XzBq9h32u12TTchPT0dh8OhRd906NChWB5kaWX61MVuUFBQsT5e3j0oLWxT/e1qY3HbEESM1Am8ITgCyqMuSnHV1D263q5aTaVzSUiEEcbn9s8xCzPBzYKh2dXvv2pINGfP6Rf5Q5s5dB77I22HJ3JrzBrSzrVEWOyEP/UOxt03McBzDxN/OcfZZg5CLxlRDOBZaMCjUCK/RyHjdhWyp6cgNdiJvYfAABRJFrylHN55+gqnW8Njn/my8t5X6bHXStvTBvyzJAwKPPdOCsvHFHKi/b+ISLbQ7QMfpLDTiI6R1bvJlSEn7+oumK/3NeJoqr6LqzhaQEAAfn5+SJJEXl4eGRkZmi5Mu3btCAwMLH09aDZB2xZIuMz2lRRcqgruOjeVRUW0T2q61rRrREPbtm2x2WzazuaZM2e03zckJKTs39cNcMqeZGS0JCPjKNlZGURFhFHk7EpIwGEsFi8wtEIYuxMo5YLTiqScQIh8kPxxmF/E4nyTEK+DBPn0JjLsvziUUK7kTMXmCCQnP4Sk803o1/EsHuYCnCZfrrcHoRj7XrfNQjIBOUhiL3brluLvZywehROu7sjjjdP8KE7Ln6/W8nb+iGycpuV5F7sPTmex3WmHw0FQUBBhYWF06dKlQus7KHvt4Dp2uxraNWlsu/O6siJUe+cari4Uvb2rlgNQ0+WxzGYz4eHhhIeHX+ONO3ToUDFvnDpBNCRUL7HqQMjLy7tuyKhKeSHkrirk6qJd/SwR+b8crMHjFSwijy3zU9np2ZJmkkS7rgoZVwwYTR7kRAbj42+nY9f9eHqdJgNBIBISeYDCVasaEBYwO7n6CDquHscIXPVkGzjDFKyMETdjJhZF7odk+J8SLDT8zuduqP3ZZrNV2LgG9/4dKrLjZhVWlt2yk2mf9+fWRR787fn2GDwtDFqzn+HbvqfZpZGcaX2EQt+deCnjMWUnU2S9wta0NDznvIX87bv0i4zk7gk38bHHOpTLKfheaUPPkFFwdY2qCQiqRnJOTg4+Pj4EBQXRpUuXcsvllFWm78qVK5rGguogq0gYZ8kdcFdDuyYXtw3BYG0sQkvuXIqrIoZAabtqNUVT0bTYvw0Gw1UD0deInHcOFAutFTvDl07HgoSHxUZY9z1cTm6GcFrosbwXA/em4pNvQEhQ4AkFXgo2Dxi10UqXIyZGrDvLlHgfXnkplHyrwEtk4zQK7l7gT4cTJjwVGyMuHOOrP+by9R8ikAQoBonYedNYOXEd/mQx5FJL2vn0RLQIr/F7UCYFRVhmvAKAff4r4Fk831rVd2natClZWVkkJyeTmppKRkaGdi/9/f0JDQ3VHH2V6U/lRdnUlrHt7pQmFFzTxvT18PDw0OYcdc2ZlpampRqqkQnBwcFVXvvXBKqjTN1cys7OxtPTk6CgINq07YNPkxUEmEwgHNgpAsn36htFGorUGrP9H0gko9AOk/wtRnkboCCkUBBJmIwQEjYCSQkhwCuFgf5/x8QFcvLbsHn7Kfz904tV7anKM6kYJ2C3fIAwlF4ZwGF5HoO8CafpTvhtF9xim40kriAsflfrc/8mXOiajuHp6UlwcPB11xeVoby1g+s5UP2+ekPvXKuL8cqEsNRl/bzSvHGqUXru3DkMBoM2QNRo7egaRO00rrvTZrOZoKAgIiMjCQwMrPJufHkq5Pv27StVZKkwzcZHf8xGKSxi+Iu30mLo3xnUrhmev42vmWlw6azCtGnzWGoWtJfBKgTeOF2+WUKYLEg4AAcKQRhIRzWs/3fWSazSKCR5MXZHJ5zG6GLPRmNZGLsLle3PruHL7sz12ueNNxkDnWQvLWB31q+0PO/BaMMwTEVH2XVTCtsHbqXb3oGcb3URxGL67e9CgV8BF88MxOZjQkkOZmBPK5FyCE87nqbHWiOZ5zxpcqfg/Pnz1wgItmjRAn//IBK/9ibFUxBzt1zh9KmSDjJVMCg9PZ3jx49TWFiold2p6ITvOmGWXNyWHKNLnl8e7ux0UWkIu+sVoS7Cwiujr3A9EbKaNAQqipo2pc6lFrGSzq2/w+DhoECY4fX/w5kajGJ2cFEYMeX5IEs2/h0wnhGhJxl26szVXVcBp9o6aX/chFGBsCtmXnkpmNQQGb8cCZtVkGcwIOUE0n2zk7ymGeR7CW7a7cncl9PICpBp0taG8w6FdmlH+HbnfDwjImjepTnUXrp16RgN4PHb+qHEb+FwOLTFenp6OgBBQUG0b9+eoKAgzGZznYijqf8tK02msRnbqrCoGoZb333Ita56hw4dihlxJ06cwMPDg5CQEE0Urbbbo66H1YgKSZIIDAwkIiKCrl27lr4xIJkBl/W9FIxsuv9qSLjixObxNZJkBqkJTuN0hDESp3wQs+NVPIpifgu1EEjGIgQ+eAe/yeDBfbSxRE01UdfLQUFBFX/2JQnFNKHMPyvGoSjGocWOOU3TMTjXkZrZgtT0I6SlpWGz2WjSpAkhISF06tTpuhFtNUF5a4fqOsauZ1y7e3+vEeO6PJVSdyqP5eHhoalsu+4Aq7u2AQEBxbxx9fXjqYIDase12+0EBARoE1ttta2kCrmryJIaQt71mzV0dQ7gQHsb7z24jdGBbzLB8b72Gbs3Gtm1xUyOYw4zBv5CB+HAgLZnzVXfmeB/u9UgkY9MCEZSAdhghLYKNBUKEqcAT4ShjbZ74nQ6yc/PJzk5WVv0ucsE6+6GZnm4hoVXBPVeVzRHuz6oyPPgoXjwqO1Rkp+8yH+LfqbLtgje/tdxUgLP8eFdvpxolk1gUyPeuS2wFhXgtGTS5ZgvLQZtZUH3A/iOX02KNBqHzYGSodCrayrpTdM5cKhI67clBQSz0iFpl4RklJh4u4ylihqMJpOJkJAQQkJCgKtiQurC4+zZswDFJvzrRSSUt7itbM5VQzCuXSfwijoN3JHartxxPeO6Lp3mlcFut2v9oWT6RXDQvXgYDiCJeNqg8Nq/tnJp125+Ccjl0BsvIhd5UtT5CM6QVD7IfJn+PEChbxH+uUb6/WqBboX8ZLmN6PQVTFzmQ66vzMGuNmbMS+be78IJP2Jn8BYrYSlmEibn8MrcNAZt8+KB+Zf58zYr/btB04cFTX94g6Ipi+r0vmh4WLB/NhcAYTSS95tycFpaGtnZ2fj4+BAcHEzPnj3x9/e/pn+UFEfLysoiIyNDixT09vbWDLOqiKOVNx7Vt+BSbZGWlkZycjL/+c9/GDt2LOHh4fXah0ri5eVFy5YtadmyJbIsa86VQ4cO4XQ6NfXx4ODgSjtXSkPVAVDXw0VF/5tXW7duXfUIVElCEpeQKMQo9iIbb8dh+Z+6j1HZhEHehoQNWRoAkhnZGP1bTequeJqgefPmNG/eHCGEFpl28eJFkpKSNGFANaKsJtZI/3NsdCUzsxkeHumatkFgYGC9rsMqGoWinnM9Y7uhb55Vy7g2GAyYTKZik3pd5VNVF1dvXPv27YspXJ48eRKLxVJsV7s2H1rXjqmGjKods1OnTjXWMSuDJF0tF+Tr60vr1q21EHK55QFmtvuKexZkkh3gwJxuJlPO1ELIh0yQ+Sozji2jvudxw1AkZQeQRy5QJEmECvFbzpUN+G0ypAjjb7nYRUC4AkECnMhYxAUc5peR6Ujmb1EHrl66jh074nQ6b7jQsdpA7ZeVNa7d2aFQVjhrSWOgPe3p4NWBVr5tsDU7hGz8GjztXIoKxVgEAdndaHtkIEm9HyVZPsfTn/6BmBORxPRoTsqZkUipEuvT12shaR07RpVb2iQgCO58wonZQpUN69Lw9PQsNuGrIXOXL1/myJEjWvvUCf96uXPl5VyVPKdkv2sIxnVDaGNFqItSXK79yJ2c5q64Gnjp6enk5ubi6+tLUFAQXbt2xd/fv9hcKhXkAxbASOyAZ2AA+H8eizMolQs9jiB+HsXEg1n8lUd5O3ISk32/o8d+K5IsYdjrxTg28sbfcvjzmx542oy89FIKvXZ6cfenVj57MINWyTLhO60M3OTPmOOdcMSsZYsVfugh6E8TuKkAZ9e76/QeuVIyN1M1jpo2baopB1cUo9GojS1QXBxNjaopKY5W2eejIs4/9TMLCws5evQogwZdq9fiznTt2pVJkyaxYMECnnzySfr06UN0dDSTJk2iY8eO9d28YhiNRs256yqcpc43qnNGFReu6I6lOm+VXA9HRZU/r1YWh2UuRnk1snHsNX9zmm4HUYBsHI8wdin1/ZJy8GrNamMvAgICCAgIoG3btsU2yJKSkoptkAUFBeHj41Ohe6GOZ2r/LCwsLF0s0A25nmOsrCgU1/Pr206sDtV+Qj08PCgqKiqzGL3rZOvOeHp6aqVxVEMyLS2No0ePaoacOkjURLhFUVERaWlpWgcENDn87t2714jHryZRQ8j5y6Pwl0e5XV6EbP+WEVdGsP/Sfk1ILSgoiCkPZPGTVx559rdwspYvlRf4zCgIckQywXqKR4qcWDEBAoEZsCP9FhJuxYBVKCQZAAFewo7zlIXTF9dhMps42+Ys7cLbMcJ3hLZIcrc8LXcd7CpCZWpdN6Sw8IoaA1GGKOb3X0/+k076h8YyrZsXZwtbsq/9SAze3+NjMaGEmQjtGMX5XCdFqQphQWEEhQQR1PH6O8OutOtSu/fNNS2mTZs22kI6IyODo0ePFtsBCAwMrHYIeUkl8oYwOTb0vC6VuijFJcuyVk3A9Xh9zvMlQ70zMzO1tKlWrVoRFBRUbtqUYhqAJOcg0wuzcrVM5IdvvYzTYWZiny3E53nyctHrBEl5tL11JT3evtq/FcmAQSg4MPHUW00wmfL5/E4Drz0TQYtzHngXOrh7QQAvzE3BWhRIszNWXv/zJbJ2KLQ3BXCLXxCSkon9k2eRLX+oo7t1lfz8/DJzM2syrLc8cbQDBw7gdDoJCAjQ1g1VUaQu6cxLTU1l+fLlJCYm8ssvvxAVFcWuXbsa1JzctWtXFi1ahBCCS5cuER8fT1xcHK+//joRERFMmjSJ6OhoBg4c6FapjK4bMpGRkVrUSFpaGnv37gUoJi6stl1NfVTXwhkZGRgMBoKCgmjevHmV0gsqimyaimyaWsYFNcFpebLsN4s8PIpuAaDIcz1IYdqfzGZzMSV219TOU6dOFXNElRyjXDf6MjIysFgsWtSqO4vJXY/KRqGotbZL4u7rTRVJVKOliqJgsVgYN24c06dPZ+TIkfj4+NSqOEldU55QQGVyTFzFw9RyFf7+/loITUMUV1NxDSFXpf7VASE4yItzJ9/nE3EAn6AwdnVLZFYhTHfeiUFexHEph2YCfBQBBgkhjORITozAY97QxWHAU+7ARGccWT5ZPGB9gAwyuN95P39y/gkD1977kot+KN07Vhv3Wx0k3M05UhGEEAQEBLBixQq6du1aofesXbuWgQMHVsqorAtUAyA3N5c9e/bQrVs3fHx8iuWquRoDBxSJ08LARINMmuEye6W9DFWG4il7sj47n89kM/2TT1GkxNND9KCDbwctp7mhjnMlFzRVzhn7DSGEpjKbmppKZmYmkZGRREZGum1u5NGjR5FlmY4dOzbYfguwbNkyZs+eza5du2rk80oKKF24cIGLFy9qwlUBAQGYTKZ6CVO12WzF0qbU3VbVSaSmTRVRhJUK/p5KMp6FUYCTAW0zsdk8ARmH3ZMXeJmb/X7izQ+M/OlegUVxkkwoXhRgwYaH5CDXR2CwGfCzKzglyAiSKWzq5OjT6TxxUyF3/9eXv3grcLcD2dAfiUygCTbrEpBq9/6pu1+pqanFor5qcrOgsqhOEdXYzszMBCiWr12RXTkhBEePHiUxMZFly5bx66+/0qtXL2JiYpgyZQrdunVz25SlypKbm8uqVauIj48nMTERWZYZP348kyZNYuzYsW5dLkuNzlTnhry8PLy8vDCZTNhsNux2O02aNKmWo6XOETIW23QkUYDN+iNIFQtBc01JVaNrPD09NVFKm83mNimqdYk616jRD1euXMFkMtGvX79SnfpWq9Wt70u1jet//vOfHD16lNWrV3P58mVGjhxJdHQ0EydOJDQ01K0vviqUFkaleuNcF6TlGZxllb1qLLg6EjIyMihMy6PlKT/swz1Ja3eAIRYwmGPA9hC3eW/g/gtGpthkdgXnkSp8GWnIpEiCDyxwxAJ7TV7Mkv/O7+Tf8YTlCdYa1hJCCItti2kmml23PSWN7drM02roxnVoaCg//vgjvXv3rtB71q1bR79+/eplgVaS0vI+FUXh+PHjWrmYoKAgrZyIa/970m4mWUg8Y3LQpiDnmn7bJCiIkEbcb8sLxVMXu6UtUl0rMqiLJj8/P0JCQggKCtIWBmq/c7fUjaSkJACioqIwGAya7kBDY82aNdx///3s37+/yvezLBEy9fdTwxPT09NRFEUrzaOKW9UWqnGoPpt5eXlaqLdq6Jc08H82/Myzlme5z3kfjzkfK/8LhMBiewCjHA8U8O+PZ/Pd+glcPNAd0oMxWezYsGI2FbIsfyJhIp0rhBFEJhZsSMCFMIWQDAMeDrAZTdzh9xUR/U4hT/6OZbcsIapIYrnVSEbhncjWl/Hz9UOSDLVmWKuRcervZTabi5VScjeDU1EUrQpCRkYGWVlZeHh4FDO21b7pdDrZtm2bZlCfP3+ekSNHMmXKFGJiYmjWrFmjW3eWxOl0smXLFuLi4khISOD06dMMGzaMSZMmMWnSJJo3b+5W96C0ahkeHh4YDAZsNpvbP581jdo/1fshSZIWfeQqJFwVBf6GhqIoZGZmkpqaSmpqqlY2zDXCQV0/CCHYvXs3p06d4t5773Xr+1It49oVRVE4ePAgS5cuJT4+nt27d9O3b1+io6OJjo4mKirKrW9EVVANaNUjnJ2djdVq1bxxrqHSN0InKQtXFfKMjAycTudvO502bLZMInaEYAr6iXtmfIMwtmZbdl8M8n9RsPOryZsfvAbyqPJPWoqrZQhWGVZRKBUSI8cgUfn76Wp8qf+tqVp9Dd24bt68OV999RUDBgyo0HvWr19P375966Ucx/X0HVwFYFzLiaSlpVFQUKB5hwMCAthsVzhYaKf32eMYnf8TPbpR+21JUUV1tyswMBB/f/9iIX+KomhOi/LCcMtS/IX6M7YPHz6M0Wikffv2Ddq43rhxI7fffjtHjhyp8P0rrf+4/h5lCSiV3IXKz8/XdkJDQkKq7WgrzTGthnqrzp7rVchYYlzCq+ZXmeacxl+cf7nOF8pYC4eAyEPiIicMNsYHgBOJFzYNZM13t7H/s8fxlvOx4qA7+/kLf8XZOp2AdAd+ueA0w6WO/oSdyENxGvjRcgufyw8hecg8OHYyYwMvEfCyJ3tOf0V6Rh6SJBULC63uc6caL+r4lp+fj7+/v7ZArWiOp7tQWu78m2++ic1m4/jx45hMJqKjo4mJiWH8+PH4+fnVd5PrDXX3funSpSQkJLB161a6deumhY937969XtI1XEOhMzMzNed2SSV5V+PKXSIrapqK9k/XsS/rfBqOpFyKOpoICm5cm3IOh4P09HTtNzcYDFrufknnis1mY8OGDSQkJLB8+XJyc3OZNm0aX331Vf1dQAWoMePaFSEEFy9eJC4ujri4ONatW0fLli21zt6/f/8GmzfgSmneOKvVitFopKioCEmStM5zvdyvxow6eLqKMqhhxIWFhXh4eBAU5M32FltpfcbE2HW5GP6wE2EJQhg74DQ9DlLtCsqV7AZVXfSrOZwNcZEuhCAyMpIPP/yQYcOGVeg9GzZsoFevXvj6+tZy665f67OieZ+KonDlyhUuXbpEdna2ltvj4+NDWFgYzZs3bxQTWE0hhCAjI4MLFy6QmZmp5fZ6e3sTEhJCs2bNKr0AqstokvI4ePAgHh4etG3btsH2W4AdO3YQHR3NyZMny7xnFREbrYoIWWFhobbrkJmZiZeXl7ZQqqiIkVomUzWmZFmuloNLIDgvnaeZaIaR688dknIBSV6Lh/1xOjWRyQXutcHcAmhl8UaeN4Npa9rgWNudIsWDL73vYXl/mLKG32pWg8EiEFE2cgolPNM9ODx1CEd97mTiyicZvP4gfoFNWWk/iKRIWrSHum7w9fXV1gmqOOj1sNvtxXanS643GvIYJoTg8uXLLF++XAv3btu2LU6nk9TUVJ566imeeOKJ+m6m26HmnSckJBAfH8/q1asJDAxk4sSJREdHM3To0Fob4+x2e7FNlKqIeJWWhunl5aU911URwasvXEv/VqV/mv9yDml3HhkPeJMSUkCyKZOCwgL8/PwICgwkYp8VzxBfGOZfR1dUPUrOE+r6ISQkpFharBoNt3LlShISEli9ejU+Pj5aZMqoUaMaxOZVrRjXrgghyM3NZcWKFcTFxbFs2TJMJhMTJkwgOjqaUaNG1WsR+spSsua0qzfO1QPt6t1PS0vTwiXVztUgckqqgTrxp6amkp6ergmiqZ4p1bniGvKXeekyPZ54B2uBjZQ/3YP5tokVXmjUFOXla8P1je2GbFwDdOjQgbfeeovRo0dX6PxNmzbRvXv3Wts5KC9UtaK1PsvzoqthpWqeT1paGna7vVhYUkMYyGua0hxiqj5EUFCQtnOtGgc+Pj7aGFiV6gYlI0lUg7siJb+qw4EDB/D09KRNmzYYjcYG6wDdu3cvw4YN48KFC9o9qilnVGVwOp3FdiSAYuHjruO+qiSthnr7+flpc2lFF9F7pD1cMFxgsjy5SlFMGiILk3MhJvsnzPY+QZIRFuWAD9AtAC4b4XyLdpjyjThtRo7LnVhrHMisovlk+8t42sDsNCB7yfz39lz8DSbGPLeNV5t+xHHDcbYYtmDEyJ6iPdfkgbv2pbS0NIQQpZbPU9dS6pzqapQ3dN0WuPq8JiUlkZCQwLJly9izZw833XQTU6ZMITY2ls6dOxd7thuKkVWfFBQUsHbtWi18PD8/n9GjRxMdHc348eNp0qRJtdJISuYO+/j4FJtXqxverY4n6jykhkyrz7w7rbNKrvlzc3Px9/fX1hKV7Z/Gb1IxLs5EdLRi2JqH409NKRjpefVeJ6XR6vkCQHD8Ay8CmwZXqNRmXeI6XqkpYwEBAZpB7eqQVzdkExMTSUxMZMOGDbRv356YmBhiY2Pp169fg+vvtW5cl8ThcLBx40aWLFlCQkICycnJbp2nreZYl1ZjrzLCC0VFRcW8WGUZmw0VtSOpBnVOTo7mTAgJCanQfTKs3op51mvIQrD/3y+RWlRQ7R2M6lLeDltp4mgN3bju0qULL730EhMnTqzQ+Zs3b9ZK3NQElQn1Lo/yasWX50V3LSeipnqoHtbKlBNpiKhiZOoYZTKZinnay1ooVfVel4drCHlJw7omQ8j37dunlRtsyMb14cOH6dOnD5cvXy7VmK6MM6qmcM3TTklJoaCgQFtQ/S9i6X9l4apy7/tb+yMj85ntM3qJXlVuq8kxD5PjPQRtkcRxIPW3cpFw3AiXtngxfFpLHBaF/MImHKc9Twb+nYWjowlJzCWziYLnAAvZIXlMejWDaV6P82f5Wdp7tsckTHxi/4ROotN1NULUeVRdK6i5x2qqmRCiWApGQ51nVBwOB1u2bNEW1VeuXGH06NHExMQwefJkrcazTvVRFIVff/2VuLg44uPjSUpKYuDAgVqZrzZt2pR7r12V+VUhOpPJVCxdozafR9c1Zlpamls4l1zTo1yr/tRktKrx36mYFqTieLE5yrDfNjFkgfHjZArNDi6MveqAyM7OrnSpzZqmtPxp1QZwVYhXz01KStIE+vbt28fAgQOZMmUKU6dOpX379g2679e5ce2KoigcOHBACx9XPZVqZ6+PPO2Sk1ttPLCqx0/1QBcUFFyTY9IQHipZlot5FV3F3arkVczMxrPjFHA6sS18G3nsILcThSu5w6aiLloVRUGW5QabA9arVy/+9Kc/ERMTU6Hzt2zZotVirwrl7a65GtQVCfUuS5Crqrup8L/cIPUZh9LLiTREXMXIVE97daNrrhclUJUFWEWjSaoyZu7Zs4cmTZrQsmXLBm1c7927l169evHWW28xceJETdSpos6o2qAsrQ1FUSgsLMTb25vQ0NBrwgIrwwemD0iSknjT8SY++FS5rZJyGpP9r4A3JvkLAAS+2FH4m1c+oxN8GDgjgkNDCvgpcDqZZ/vz8gePEJJgxzE3jPMtHfzzYD++MC9CEmaGKsP40f4jaw1rSZfSuUW+pUI766oBo/ZJdc4zm83YbDZtjm2oehDq+mr16tUkJiaycuVKzGazlj89duxYfHyq/jvqVAwhBKdPn9bW3hs3bqRDhw5a6mafPn0wGo2aMr/ajx2O4nok9alkXTItQi3fVZpgaU3hOme6Rm1VtpZ3pSlSwFr+GF5TG4GVxeFwXBOl6po/7Tr3OJ1Otm7dSkJCAomJiSQnJzNmzBhiY2OZPHmy222uVod6Na5dEUJw4cIFzavmmqc9efJk+vXrV2teGDU3Qn2VFZZVW5TMMfHw8ChW6sudlBPVvAnXtqpeqWrXyBQCj5tuR7qYgu3HdxGDi+9ElKYaq4YSViZXrSYRQiDLMnv27NEGjK5du/Lf//63TttRU/Tv358ZM2Zwyy23VOj8bdu20aFDBwIDAyv8HTUR6g1Xn0XXFA1Jql4pqetRWqpHQxMNKi3MztVZUNPGpepIVCss1ETo4PXytSuzq717926CgoJo0aJFgzauL168yKxZs0hOTmb79u306tWLyZMnM2XKlDpzUpcsN6mK9qh90nV8Vhdk6stgMBQLH6/IM7HJsIm3zW/zJ8efGKoMrV7jhRNr4dDfRM0uA4WAga0mL271y0MA7U55cKaZnT/JgplFIAhCOufk9BMhzLsjh4sPjWWlaSVBIojX7a8zXhlfoa+WZblYBRK73V4s9NU1LFw1vFXHldVq1fpvfexUVQTXkM9ly5axYcMGIiMjtRzKQYMGudUa50ZDjTBZtmwZS5cuZdmyZQghCA4OZsSIEdx9991av3TXnGdXwbDU1NRigqXVLWfl6mBXKyW47k67a/RIyRRW1flQEyKKZeVPh4aGXmPE5+fns2bNGhITE1m+fDkAkydPJiYmhnHjxjVaZ5rbGNeuqN7N5cuXExcXx/Lly4vlaY8ePbpaCoLlGWlqeEl9DSAVnWjrirIGLdWgrvF8eUWB3ALwv36Hq2kRnMrgcDjYvHkzcXFxJCYmkp2dzYQJE4iNjSU6OpqAgIBa+d7aZujQodx1111Mnz69Qudv376dtm3bEhwcXOY5VVUlLonT6Sy2eC8sLNRymtSa03Vp3LqWu8nIyNAUjd2tnIjqvHMVnKovgRhX0Zua2gkpS/1f/W95xvbOnTsJCwujWbNmDdq4VhFCcOXKFeLi4liyZAlr166lVatWmqGt7kjV1He5lk9Sna2VjSxyjeRKTU3FZrNpc15ISEiZTrJXza/yjfEbfi//nhcdL1bzYhQsRbdiVDYgCEbiHAB2Avm7VybtZEG4Arf4gaeAn3IM9BK/41PvYXxr+o537O8QJaLYbdhNT6UnHpS/cC0sLCw2dlgslmJO6or8RupaQV34FxUVFetL9ensU6MS1fzpAwcOMHDgQCZPnkxsbGyjrB7TGCgsLKR79+60bdsWLy8vDh06xIULFxg1ahSTJk1iwoQJDWJ3sWT/qsyGVVmpYa670+7oYCiP0sSXK+PkVnfs1TFarRCh7lC72iVCCNLS0li+fDkJCQmsXbuWpk2bauHeQ4YMcUsnYE3jlsZ1SUrL0x41apSWpx0SElKhXBHVaM3MzKx0aY/6oLQQsbpYGKt5JGqYh6pyWJvhNtWltPItagi5Wvqhur9xQUEBP//8M/Hx8Sxfvhyz2ayJrYwZM8atxCSqyqhRo5g2bRr33ntvhc7fsWMHkZGRhISEaMdqKtTbdfGu/qbqTo36u7rLIF1eOZGSk09dtEU1VlQxMnUidKfSJq45fOpOnDouq7udVemzJY3t8gQJd+zYQUREBE2bNsVkMrnlPFAdcnJytB2p5cuX4+3tzaRJk4iJiWHo0KGVvl5VO0Q1qEvWZPX09KzWwltNK1AXcdnZ2fj4+GiLONddkSyyWG1czRh5DE2oWlpK8S/PwlowGIlkwAPIB5TfXnDMCFP9QMaXNfmPEGSaySTrXSRJSfzV8Vfuku8q86PLKwVY3Z01FXWnqqSzLzg4uE7mbbvdzsaNG7UdqvT0dMaOHcuUKVOYMmUKwcHBbm+U6RRHURT27dunCaKpqZtqPe2OHTu6/W9akQ0r14iu9PR0nE5nsXMam6hpRZzcapUQdSyWZVnbPCiZEieE4OTJk5p2wrZt2+jVq5dmUHft2rXBOSSqS4Mwrl1RFIX9+/drNf1c87Sjo6Pp0KEDkiSVKrLjLrkiVUW9ptJCOqsT5lGap07NI6lOPlx9Ul50QkXVaIUQZGZmsmzZMuLj41m7di3h4eHExMQwbdo0Bg0a5DbGXU0xYcIExo0bx4MPPlih83fu3EnLli0JDg4uN9Rb9Ype756XTNEouXh3F8OwPOqjnIirOr8aAtbQBBNlWS7mXc/NzcXX17eYd72y9+16IeQ7duygRYsWhIeHYzab3dJxWFMUFRXxyy+/sGTJEuLi4igsLGTChAlMnjy5zPA8dWGqzqUFBQXFUnFqO8rL1dGblpamiezVVnSIyf4OJscngPjNyP7fePast4nPrQZi5Dv40PERAKel02wxbOFW+VYsFHdUuAoEuvZJdb6uzT6pOvtcQ/RVPYWaivJRw4lXrVpFYmIiP//8M56enlrIZ3UjDHXcCzW8Pz4+nri4OH755RdatGihlfkaMGCA24+fqkM3NTWVlJQUcnJyMBqNyLKM1WrVNCDcNfy9NnB1cqemppKVlaXV3DaZTISEhBAeHn5N2qeiKOzevZv4+HiWLVvG8ePHGT58OLGxscTExNCiRYsGZzfUJA3OuHbFNU976dKl/PLLL/j7+xMQEMAtt9zCmDFjNOOzJsoCuBOlCStURjmxNG9eYy4/VNEQctcJJD4+ns2bN9OlSxdiY2OZOnUqPXr0aNSDrpoD99hjj5V7nro7vWfPHvz9/WnevDkmk0kzqCsa6u2OefQ1Tck8Z1lWuHSsLX6+foy/xQsPj6rtzrqq86uGaGXU+d0dVUxHfTZqIu1DCEFRURFXrlzRdkabNWvGL7/8QufOnZk0aVItXY17Icsy27ZtY8mSJSxdupTz589rVTtCQ0NJTk6mR48exaJF1Aig+lpAlxYdos5ZISEhNZP7KGyYHP/B7HgWKLp6CC/AhxOWGD7y8uYe5z10FB2vfatL6KRrKR53KL/pWq1E1aeoSv6lEIKzZ89q+dObN2+mQ4cOWv50v379GtU6S6dscnNzWblypab2LIRg/PjxREdHM2bMGLfTIHEV/FLXvE2aNMHDwwOHw0FWVtY1avyNLZKpNFwjhbKysvD29sbX1xe4GvmkOubUMoFGo5Hly5ezfPly8vLymDBhAjExMURHRzfqaiqVpUEb1644HA6ioqJo2rQpvr6+JCUlUVhYqHnVRo0a1ai9qCWVE0srWK/miKq7W1XJ82oMuIaQq7mC7733HjabjUuXLnH27FkGDx5MbGws06ZNIzIy8oYZMG655Ra6d+/OnDlzih0vK9Q7OTmZCxcuaM6ZsLCwclW0ywsFducUjZpCCMHli7m8PtOKzWZnykM7CW3qWSGjWF0clFTnbyxlecqjtD5rsVi0qIbynhv1mUtJSSElJYW8vDwsFgsnT57khx9+YPPmzQwcOLBSKvmNCSEE8fHxPP/88xw5cgSDwUCvXr249957GTBggFuWRHHdgVJLP/r6+mrh49Va2AuB2TYHk/wNYKHQYxMY/YBAKPGZJasJqIvz2hIIrAnUygqlOeZLc2gqiqIJdi5fvpykpCQGDx6spUS1bdvW7Z4PnbrF6XRqGjTx8fGcO3eOYcOGaZV/IiIi6qXyT8kIMrXyT2lr3pLOMdXR7w7OsZqkrPzp0NDQa3SdhBCkpqayefNmli5dyooVK8jLy6NVq1Y88sgjzJo1q9FtxNUUjca4BoqF/TkcDjZs2KDlaV+5cqVSedoNGVW8QA19KSwsxGAwoCgKvr6+hIWFERIS0iBD42sKWZbZtWsXcXFxrFixAlmW8fb2JjU1lUuXLrF27VqGDx9e382sc6ZPn06bNm145plnrqvqreZNq4aP+rzl5eVpg3VISAgGg6HGRawaOptXGkBAnxGFZGSkXxPOrS50XZ1mGRkZeHp6FhNmaei7+lXlehEPfn5+5OXlaQZ1UVERRqORQ4cOsXDhQg4fPqzpC8TExDQIkZ7a5NSpU3z99deMGTOGsLAwEhMTWbJkCRs3bqRTp05a3qy75s65pkWkp6djNpuLhY9Xus1Cvlr32tAc2XT7/w43QrEjNfRedRIIIdi/fz/nzp0jMzOTjRs3kpuby7hx47QdqsDAwBu6v+iUjRCCpKQkLU9727ZtdO/eXav8U5tjiFqxQO2frton6lqjorimdaSnp2spKaqGQUNItVJRI1VVg1pRlGLVGUrmT1+4cEHLn1bLtKm15z08PFi9ejWDBw9m6NBqVmloxDQq47osXPO04+Pj2bt3L/369dPytN3RM19VSvOkN2nSRKuTqe74uAqdNKRBojqogitxcXEsW7aM/Px8Jk6cyNSpU5k4caJWmzo5OZmAgIAb0iMXGxtLaGgob7zxBvA/Y7oyod75+fmcP3+e1NRUioquhlZaLBaCg4MJDw9vdCkaVcHpgKx0CA7/3zE17PXixYtkZGTgcDgA8PLyIjQ0lIiIiJpX528kqAuhy5cvk52drdWbT05O5vTp0yxatIjU1FQmTJjAtGnTmDRpEv7+/vXdbLdGFbSJj49n6dKlrFq1itDQUE15fMCAAW45d6gLbHUHyuFwFBPiqexucsmIEfXzGlMKlfpbr1ixgm3btnHkyBFOnjxJSkoKQ4YMYdWqVY3iOnXqFrV6QWJiIvHx8fz8888EBQVpEaVVEVUsibo7rUY1qWsNdX1bE2sNdW5WxwBVJNRVkNDdKM3hqEb2lJY/ffjwYRISEkhISGD//v0MGjRIEyRr165do7GR6oobwrh2RQjB+fPni9XTbt26dbF62g1p4e+qrqoqipfnSVd3fNROV1RUVEwVsbGFzufl5bF69Wri4+NZsWIFnp6exMTEMHXqVEaOHKkvGEowcuRINm7cSFRUVKWUHsuqqejv768p5aanp2uiIaGhoQ1SKK+m+OrvJg7tMnD/0w7adCnuIVd3r319fTVDQS1zpHqbb+Rda1dkWSY9PZ2UlBRSU1ORJImioiL27dvHxo0bOXbsGJcvX6ZFixYcPny40Y1vdUl+fj6rVq3SosGMRqM2b44cOdItqyW4RtWo2gR+fn7aIrOsqBnXcNKMjAysVmuxFKrG0PeEEJw6dUoL9966dStdunTR8qf79OlDbm4uFy9epHPnzvXdXJ1GgGvFlYSEBAoLCxkzZgyTJk1i/PjxBAQEXHdNUJahqzq86iISruT44C4RZQUFBdpcqAoTqxGEJVNlnE4nW7Zs0Xaok5OTGTt2rLZDfaNHc1WXG864dkXNPVDraa9YsQKz2azV03bXPO2yyv6ok39lFjmuKoFqToo7DBJVxbXGnqrw3aJFC03he8CAAQ3KeVLXqAqwCQkJLFq0iFWrVhEeHq7l1/Xt2xej0YjD4SimRltUVERAQIAWlltafpIsy5pTJzU1FaPRSEhICKGhoQ3yWasqQgi++UBm2xrBuDuP4tUkWSs3VJYYoWtYl5pv3ZhLhZSHw+HQUhBUj3x2djZr167lu+++w9/fn9jYWG6++WaGDh2K3W7n8OHD9O3bt76b3mhQy2MuXryYuLg4MjIyGDNmDFOmTGHChAluK2xjs9m0PpSenq45rIKCggC0HeqGsDNVFWRZZufOnZog2YkTJxg2bJg2vrdq1cotf7fr8dFHH/H2229z+fJlunTpwnvvvVdmyOrly5d56qmn2LVrF8ePH2fWrFm89957ddtgHWRZ5tdff9Uq/xw5coTBgwczadIkoqOjad26tfYsFhYWFhPkc6cQ7dK0UOpqbhZCaCmgqampFBQUEBgYqDkPS353fn4+a9asISEhgRUrViBJEtHR0cTGxjJu3LhGM865Aze0cV2SknnaKSkpxfK067NOY1n5HzVZkqQ+B4nqIITg3Llzmjd069at9OjRQxMk69KlS4NcMLgDeXl5rFixgp9++on4+HiMRiOhoaF07tyZxx9/XDOmmzRpUqkJTnUQqV5WWZYJDg4mNDS01svU1AcljWOHw0mAfzDhTa962ysjRlZe6Tw1WqWxPe9FRUWaQZ2ZmYnVauXKlSssX76cRYsWERkZydSpU5k2bRp9+/a9YRw17oCiKOzatUtTHj927BjDhg1j8uTJTJ48maZNm7rl81ha+oqnpychISG0bNnSLXfiq0JBQQFr165l2bJlrFixApvNxvjx44mJiWHixIkV2i10Z77//nvuvvtuPvroIwYPHsy8efP4/PPPOXz4MC1btrzm/DNnzvDuu+/Sp08f3n33XYYPH64b1/WMGkURFxdHXFwcGzdupEWLFrRq1Qqr1cqjjz5aTHnf3ZTIVVznZlVosabn5tLyp1VjuuTaSRUkW758OYmJiaxdu5aIiAjNmTZkyJBGt9ZyF3TjugwURWHfvn2aV62u87RdS22lpqYWUy6sthpqBb/fnYVb1BwRtWTWoUOHGDJkiFYyq6F64N2VkydP0qdPH7p06YKvry/Hjx8nJyeH6OhoYmJiGDFiRJWdL+qzrhrahYWFBAYGauFM7qi4WxEKCwu1/quGdddGaKkqSKQ63oBrKgU0RFSFb3WRYrVaOXv2rKZa2qtXL82g7tSpk97f3QAhBMePH9d2tLdv307v3r2ZMmUKkydPpkOHDvX2O7nu8qSlpZGfn68t2IOCgrSoJ3W+9ff3LxY+3lBQF9QrVqzQFtQhISFMnjyZ2NhYhg8f3mDH1NLo378/vXv35uOPP9aOderUialTp/L666+X+94RI0bQs2dP3bh2I4QQjBs3jl9//ZWIiAjMZjN5eXkMHz6c6OhoRowY0WAcX65zc1paWqlVfCr6OaoxrUbcqGNTyZrcQghOnDihhXtv376dXr16ERsbS2xsLF26dNGdz3WAblxXANc87bi4ONavX09kZKQWvlJTedol6+EqiuI2ZT3coeSILMts375d26G+fPkyY8eO1YrWBwUF6QvsWsTpdGpeTqfTycaNG/npp59YunQpOTk5Wr3DsWPH4uPjU+XvKWlU+fv7a3na7jypqir96gL93EmJQ5vaE3uvjU7dA6pUl7mylGdAuHuFALV2t6rwXVBQgIeHB0ePHuW///0v27dvZ/DgwZpB3bJlS7e9Fp3fys5dvkxcXBxLlizhl19+oU2bNpogWu/evWt9kVeW40mdu8pa3KqREq4512ofKrmYdQeEEBw7dkwL996xYwc9e/bUDOoePXq4XZtrArvdjpeXFz/88APTpk3Tjj/xxBPs3buX9evXl/t+3bh2T9LS0jSV/6KiIjZs2KBtdKWnpzNy5Ei3iCitDGoJvNLm5tJ2411LDWZnZ+Pr66ttOJScx2VZZvfu3SQkJJCYmMjJkycZPny4tjZu3rx5g7hHjQnduK4k6i7bsmXLNJGs6uRpq8IIrjnP6u6WO07icO2uem5ubrFBoibrAdpsNtatW0d8fDzLli3DbrdrOSITJkyolhGnUzMoisL27dtZtGgRS5Ys4eLFi4wZM6ZGwg5LhgOrucmhoaFuERqmLt5Vj7LqmQ4JCeGTF5vxy1IzU+528tTbjnppX2m17WtaSbU6CCE0/YiUlBQcDgcGg4EDBw7wzTffcOzYMcaMGaOVzGooCymd4qhzRmJiohZ54Ovrq0W+DB48uEYctKqDRnUC10RYpiqapy6KyytjU5c4nU62b9+uGdTnzp1jxIgRWtm0Fi1aNPq+cunSJZo1a8bmzZsZNGiQdvy1117j3//+N0ePHi33/bpx3bBQFIW9e/dqZb7UiFJ1o6s+I2MqS8m52Ww2a3oreXl5mtiwukNdMnXMZrOxfv16EhISWLZsGQUFBdoGh1oNo6Hci8aIblxXE7vdXixPOzU1tdw8bVU5We1UqnCKalC7o4Da9XDNBy9ZqzcwMLBSiw91cbRy5UoSEhJYtWoVfn5+TJkyhWnTpjFixIgGG+Z6I6AoCgcOHOCnn35iyZIlHDlyRPOgTp48uVr15R0OB2lpaaSkpJCWlqaFRoWGhtZZ3mB5OVUhISHFxMgO/mrgm/dN3PdnBx261/8wW1oNUFdNhbqKClBzxtToBPXYjh07+Prrr8nIyNBK5E2aNEkrkafTeCgqKmLNmjUsWbKE+Ph4bDYbEydOZPLkyYwdO7ZSYdglI75kWdZ2poOCgmpUK0R1Eqg7Svn5+QQEBGgL4Nqev/Py8lizZo2WPy3LMpMmTSImJoYJEybUqGO7IaAa11u2bGHgwIHa8VdffZUFCxZw5MiRct/fkIzryoi2bdq0iWeeeYYjR45QUFBAq1atePjhh5kzZ452zldffcV99913zXsLCwvdVl/HFTWiVE0NXLduHS1bttTKfLlrqUBXSla7UBQFSZJQFOUau0CNSlPTPX7++Wd8fX21qi7Dhw9vEL/bjYJuXNcgrnna8fHx7Nu3j/79+zNixAgkSaJ9+/YEBwdrxqcqRubuA0BlcHUepKWlUVBQQEBAQDHV1ZKTvxCClJQUEhMTSUhIYN26dURGRmr50/369XPLHXyd8lHzL1VDe9euXQwcOFAr9VKdnZWSBpokSdoCt6Z3ZNXvcq1z2xCE/spDCEF+fr52TVlZWXh5eWnXVNNRM6pjRN39M5lMFBQUsHHjRhYsWIDBYNAcaKNHj3br8H+dmkWWZbZs2cKSJUuIi4vj4sWLjBo1ismTJzNp0qRr0n3U8pPqs5uZmVmrz255FBYWFgsf9/LyKhZ5Vl1DVwhBcnKyJki0bt06mjVrpoV7Dxky5IZ2Nt8oYeGVFW3bs2cPR44coXv37nh7e7Np0yYefvhh3n33XR566CHgqnH9xBNPXLO7Hx4eXifXVJOomzIrVqzQohwlSWLChAlMmjSJMWPGuE1KlFqxQN2x9vDw0MK91d1m1/K6a9asYf78+Xh7e3Py5Ek6duyolZPVxTvdF924riWEEJw9e5axY8dy8uRJQkNDuemmm+jVqxfDhw9vcPW0q4oq6qQuPiwWC1arlVOnTtG5c2fWrl1LQkIC27dvp0+fPprCd8eOHd1iINSpGVQv8+LFi1m0aBGbN2+mZ8+exMTEEBsbS7t27ar8e6u5zmqursPh0JxX5eVVlkfJ51Yt2aOKkTW2vutwOIo5EGpC70FdRKSkpGh5qxkZGaxevZr//ve/BAUFERMTw80336yrluoAV/vyoUOHWLRoEXFxcezbt49BgwYxfvx4fHx8yM3NpV+/flr5SfX5dIeIL3UHXV0UA8XCxyv6fCuKwpEjR7Rwz927d9O3b19N4bdz5876gtqF/v3706dPHz766CPtWOfOnYmNjW00gmbVEW1Tufnmm/H29mbBggXAVeN69uzZZGVl1UaT6xWn08mmTZu0PO3z588zYsQIJk2axMSJE4mIiKiz9aXqyFYN6pycHPz8/IqJJZaMbj106JCWP33s2DH69+9Pbm4up0+fZvTo0Xz33Xd10nadqqMb17XMsmXL6NmzJ15eXsXqaXt4eGheNXetp13TOBwO9uzZw+rVq/nss8800Ypx48bx5ptv6qILNwhqpMLSpUtZvHgxa9eupX379trisWvXrlVePKph26qhnZ+fX0x5vKySV65iZKrYyPUiLhorrpoKaWlp5ObmapUKrqepUFhYqN377OxsPD09uXTpEgkJCcTFxdG2bVtNkKxPnz66kaBTJkIIEhISePbZZzly5Aje3t50796d2NhYhg0b5taqt6XVn1XDPENCQq6JzHA4HGzdulVT+L18+TKjRo0iJiaGKVOmuG05M3dA3dX95JNPGDhwIJ9++imfffYZhw4dolWrVjz33HNcvHiR//znP9p79u7dC8ADDzxAVFQUf/7zn7FYLHTu3LmerqJsqrs7D1d3sidOnMjf/vY3HnjgAeCqcf3AAw/QrFkzZFmmZ8+e/PWvf6VXr161di31gRCCpKQkLaJ0x44d9OjRQ6v8UxvjiLqeUJ3LagpWWfnTav9XDeqUlBTGjBlDbGwsU6ZM0dJL1c9t0qRJjbZXp+bRjet6oLJ52g0Zp9PJ1q1biY+PJzExkdTUVMaNG0dsbCxRUVFs3ryZjIwMXn311fpuqk49IIQgKyuLhIQEFi9ezMqVKwkPD9cM7b59+1Zrl1gNr1KNPT8/v2Ilvlxrx0PjKGFV07hqKqSnp2M0GrUduSZNmlBUVFTMmeHp6cmpU6dYtGgRa9asoXfv3kydOpWbb76ZqKioRjO26dQ+R48eJS4ujokTJxIWFkZ8fDxLly5l9erVhIeHa8rjAwYMcOtoEtcwz8zMTLy9vUlMTMTf35+kpCRWrVqF0WgkOjqaKVOmaDv1OhXjo48+4q233uLy5ct07dqVd999l2HDhgFw7733cubMGdatW6edX9oY1KpVK86cOVNHLa441RFta968OampqTidTubOncsLL7yg/W3btm2cOHGCbt26kZOTwz//+U+WLVvGvn37aN++fa1eU30hhODKlSskJiYSFxfHzz//TGhoqJanXR1hxdIiV1zrT5ccn/Lz8/n5559JTExk+fLlWv+PiYlh3LhxDar8n8611KtxXRmBhkWLFvHxxx+zd+9ebDYbXbp0Ye7cuYwfP76OW12zqOqHqldt//79DBgwQFM/rE64bH1RWFjIL7/8ouW+CCGYPHkyU6dOZdy4cTfELr1O1cjLy2PFihUsXryYxMREfHx8tPzCQYMGVcvgtdlsnD9/nitXrlBQUACgqWdHRETUmShaQ0ZRFDIzM7l48SLp6ek4nU4tEkHVTdi5cydDhgxh2rRpTJ069YZQLdapW/Ly8li5ciVLliwhMTERs9nMxIkTiYmJYcSIEW6pgyCE4OLFi6xYsYJDhw6xceNGTpw4gdls5qWXXuLJJ5/UUyN0rqE6om2nT58mLy+Pbdu28eyzz/LBBx9wxx13lHquoij07t2bYcOG8f7779f4dbgjqoGrlnctKipi7NixTJo0ifHjx19Xcbtk/rTVatVEVku+V60/v2zZMhITE/nll19o1qyZtpEwePDgRtP/MzMzmTVrFnFxcQDExMTwr3/9i4CAgDLfs2jRIubNm8euXbtIT09nz5499OzZs9g5I0aMuCZS4/bbb3fLMPl6M64rK9Awe/ZsIiIiGDlyJAEBAXz55Zf8/e9/1wqkNwaEEJw7d65YPe22bdtqhvZNN93klt55VxXD+Ph4fv75ZwIDA4vlU+q7gDqVRVUUXrx4MXFxcSiKwuTJkyu1gC4pRma32wkMDCQwMBBJkrRQcJPJVEx53F3DTesLRVGKCcipqqYHDx5k06ZNHDhwgHPnzhEcHMz69ev1HeoapjKOaID169fz5JNPcujQISIiInj66aeZMWNGHba47nA4HKxfv14bJ7Kzsxk7diyTJ09mwoQJxRT86xpFUTh48KCWP606z1WHYbt27diyZQvt2rWjWbNm9dJGHfemJsLCAf72t7+xYMGCcne6H3zwQS5cuMDy5cur3e6GhizLbN++XSvzdezYMQYPHqytv1u1alVMCDQlJUUrQ+uaP+2KEIITJ05o4d47duygd+/exMbGNmr9hIkTJ3LhwgU+/fRTAB566CFat25NfHx8me9ZsGABp0+fJiIiggcffLBM47pDhw688sor2jFPT0/8/f1r5TqqQ70Z1zUh0NClSxduv/12XnzxxdpqZr2hGqyl5WlPnjyZkSNH1quirhCCy5cvk5iYSHx8PBs2bKBDhw6aIFnv3r0b5aBRFrXlqdO5itPpZOPGjfz0008sXbqUnJwcrabj2LFji4VQllbbWRU3K02MrKThKIQgODiY0NDQUsO5bhTUMDe19JnRaNRyw77++muys7OZNGmSVjJLkiQ2bNjAxIkTdcO6BqmsI/r06dN07dqVBx98kIcffpjNmzfz6KOPsnDhQn73u9/VwxXUHYqisHPnTs3QPnHiBMOGDWPKlClER0cTHh5e68+m3W5n06ZNWrhnamoqY8aMISYmhujoaMLCwhp0/9AjDuue6oi2qfz1r39l/vz5ZYa+CyHo168f3bp144svvqiJZjdYVKNY3ejatGkTYWFhyLLM448/zqhRo4qll7kiyzK7du3SDOpTp04xYsQIYmJiiImJafTaQklJSXTu3Jlt27bRv39/4GoKwsCBAzly5AhRUVHlvv/MmTNERkaWaVw3BAFCqCfjuiY8cYqi0Lp1a55++mkef/zx2myuW2C321m/fr2Wp52ens6oUaM09cO6yNNWBxy1ruCuXbvo378/MTExTJs2jfbt2zfqQaM8astTp3MtiqKwY8cOrcTXhQsX6N27N0FBQYSFhTFlyhT8/f21vODKiJGpTi01zNlmsxEUFKRNpI09AsNutxdT+Pbw8CA3N5d169bx7bffYjKZtDIgo0ePdsvw28ZGZR3RzzzzDHFxcSQlJWnHZsyYwb59+9i6dWudtNkdEEJw9OhRlixZwtKlS/n111811e3JkyfXWMqVOmasWrWKxMREVq9ejdVq1fLBx44d22hSofSIw/qhsqJtH374IS1btqRjx47A1brXs2fPZubMmfztb38D4OWXX2bAgAG0b9+enJwc3n//fRYsWMDmzZvp169fvV2ru7FhwwZuvfVWOnXqhK+vL1u2bMHDw0PL0x4+fDiSJLF+/XoSEhJYvnw5BQUFTJgwgdjYWCZNmlSv0TN1zRdffMGTTz55jQp9QEAA7777bqm11V25nnF96NAhhBCEhYUxceJEXnrpJXx9fWv4KqpPvRjX1RFoUHn77bd54403SEpKIjQ0tDab63aUlaetqh+2bdu2xjqyoijs2bNHy0k5efIkI0eO1MJadBXT2vXU6ZTPxYsX6dq1KzabjYiICLy8vGjZsiXjx49n8uTJhIaGVvn5VEPAVEM7Ly9PU/wNDQ1tNIalWqs3JSVFq3edkpLCqlWr+PHHHwkJCdFSPBpTXlhDoCqO6GHDhtGrVy/++c9/ascWL17MbbfdRkFBQaN3EJWGEIJLly6xdOlSli5dyrp162jXrp0mINSzZ89KRVqpKVyJiYksW7aMTZs2aRUPYmJi6N+/f6OMeNEjDuuPyoi2/etf/2LevHmcPn0ak8lE27ZttUgW9TmfM2cOixYtIjk5GX9/f3r16sXcuXOL5XXrXF0DA9p9Kyoq0ja6VGVvuCpeNnnyZKZNm8bw4cPLrEzS2Hnttdf46quvOHbsWLHjHTp04L777uO5554r9/3lrYc/++wzIiMjCQ8P5+DBgzz33HO0a9eO1atX1/RlVJt6XSWVXPQKISq0EF64cCFz585l6dKlN5xhDVc7ee/evenduzdz587l3LlzmqH90ksvaXnakydPrpLassPhYPPmzZrCd1ZWFhMmTOD5558nOjr6uiIPNxpbt27F399fM6wBBgwYgL+/P1u2bLmuca1TdSIiIli+fDk33XQTBoOB48ePs2jRIr7++mvmzJnDwIEDtQVvZYW1JEnCx8cHHx8f2rRpo6lip6amcuzYMXx8fAgNDSU0NLTBlepyLVeWl5eHt7c3586d0/p8+/btiY2NZf369fTq1euGSvFwJ9LS0pBlmbCwsGLHw8LCSE5OLvU9ycnJpZ7vdDpJS0ujadOmtdZed0WSJJo1a8ajjz7KI488QnZ2NgkJCSxdupRJkyYREBCgKXUPHjy4VAeE6tRWy2UlJSUxaNAgpkyZwrx58xqk+GhlsNvt7Nq1i2effbbY8XHjxrFly5YKfYaiKOTm5hIYGFgbTWzUPProozz66KOl/u2rr74q9u+ZM2cyc+bMcj/v3Xff5d13362p5jVaSs59VquV8ePHM378eBRF4YcffsDhcDB9+vRGPU/OnTuXl19+udxzfv31V6B0Nf6K2nfl8eCDD2r/37VrV9q3b0/fvn3ZvXs3vXv3rtZn1zT1YlwHBwdjNBqvWRykpKRcsygoyffff8/999/PDz/8wJgxY2qzmQ0CSZJo1aoVs2bNYubMmWRnZ7Ns2TLi4uK4+eabsVqtTJgwgejo6HLztAsKCvj555+1sBaTycSUKVP48MMPGTNmTL3md7s7ycnJpTp5QkNDy1wA69QMkiQxYMAA7d8dOnTg2Wef5ZlnnuH8+fMsXryYxYsX8/zzz9OjRw8t76kqKQxWq5WWLVvSsmVL7Ha7Jmpy+vTpclVC3QG1drVqUBcVFeHp6cmxY8f46aefWL9+PX379tVy+Dp06OB211DbVFY3weFw8H//938sW7aMU6dO4e/vz5gxY3jjjTeIiIio0bZV1hFd2vmlHb8RkSSJgIAA7rrrLu666y4KCwv5+eefWbJkCffeey9Op5OJEycyefJkhg4dys6dO7X86ezsbMaNG8dTTz1FdHQ0QUFBN8w9rYqjpyT/+Mc/yM/P57bbbquNJurUMpUVVlTZvHkzw4cPp2vXrlqNcZWffvqJF154gZMnT9K2bVteffXVYlE67ozBYOD222+v72bUCY8//ji///3vyz2ndevW7N+/nytXrlzzt9TU1Ovad5Wld+/emM1mjh8/rhvXcLX8TZ8+fVi9enWxTrR69WpiY2PLfN/ChQv54x//yMKFC4mOjq6LpjYo1EXD9OnTmT59erE87aeeekrL01braRsMBpYtW0ZCQgJr1qwhPDycmJgYFi1apId/4h6eOp2qIUkSLVu25IknnmDWrFmkpKSwdOlSFi9ezKuvvqqFcMbGxtK1a9dKe5wtFgsRERFEREQgy7Im/LVnzx4MBoNmaAcGBtabN1stm6WGfMuyjNls5sCBAyxcuJB9+/YxbNgwpk6dyldffdXohVaux/Tp07lw4QIrVqwAruom3H333WXqJhQUFLB7925eeOEFevToQWZmJrNnzyYmJoadO3fWSJuq4ogODw8v9XyTyURQUFCNtKsx4enpyZQpU5gyZQpOp5PNmzezZMkS/vKXv3DmzBnCw8OJjY1l3rx5jBo16oZ3NOsRhzcm33//PbNnzy6Wbz9x4sQy8+1VsrOzueeeexg9evQ1RtfWrVu5/fbb+etf/8q0adO09JVNmzYViwTUqX+Cg4MJDg6+7nkDBw4kOzubHTt2aLn727dvJzs7u1gacE1w6NAhHA6HW0Zj1XsprooKNCxcuJB77rmHf/7zn9x8883a57irDLu7oeZOL126lISEBPbt24cQgu7duxMbG8vUqVPp0aNHow5rqSxq+abyaN26Nd9++22tCTjo1CxCCLKyskhISGDx4sWsXLmS8PBwzdCuShqFK4qikJWVpYWPO51OTVgtODi41h1WroZ+amoqBoMBIQQ7d+7km2++4fz584wZM4Zp06YRExOjlSS70amuboLKr7/+Sr9+/Th79my5C87KUFml4GeeeYb4+HgOHz6sHXvkkUfYu3fvDSVoVl0URSEhIYHJkyfr8yLVE6L9/vvvue+++/jhhx/0jZFawul0EhUVRXR09DV1qmfMmMHq1avZunVrlR0bVc23//3vf0/79u0xGo0sWbKk2M717bffTk5OTrHSXxMmTKBJkyYsXLiwSu3UqX8mTpzIpUuXmDdvHnDVUd2qVatijuqOHTvy+uuva2NJRkYG586d49KlS0RHR/Pdd98RFRVFeHg44eHhnDx5km+++YZJkyYRHBzM4cOHeeqpp/D09OTXX391P40LUY98+OGHolWrVsJisYjevXuL9evXa3/7wx/+IIYPH679e/jw4QK45vWHP/yh7hvewFEURWzYsEGsWrVKKIpS381p8Bw+fFgAYvv27dqxbdu2CUAcOXLkuu8/ffq0AMSePXtqvG0ZGRnirrvuEn5+fsLPz0/cddddIjMzs8zz7Xa7ePrpp0XXrl2Fl5eXaNq0qbj77rvFxYsXa7xt7kBeXp744YcfxPTp04W/v7+IiIgQDz/8sFi2bJnIysoS+fn5VX7l5eWJy5cvi3379onVq1eLpUuXik2bNomjR4+KjIyMan226ysrK0scP35cbNmyRcTFxYmVK1eKpUuXij//+c+iWbNmwt/fX9xxxx3i+++/Fzk5OfV9y92S+fPnC39//2uO+/v7iy+++KLCn7N69WohSZLIzs6usbZ99913wmw2i/nz54vDhw+L2bNnC29vb3HmzBkhhBDPPvusuPvuu7XzT506Jby8vMScOXPE4cOHxfz584XZbBY//vhjjbVJ58akX79+4pFHHil2rFOnTuLZZ58t8z3ffvutsFqtYvHixbXcOp1PP/1UeHl5ibS0NO3Ya6+9JoKCgsTRo0er/Lk2m00YjUaxaNGiYsdnzZolhg0bVub7vvjiC9G3b1/hcDjESy+9JHr06FHs7y1atBDvvPNOsWPvvPOOaNmyZZXbqlP/pKenizvvvFP4+voKX19fceedd16z7gTEl19+qf37yy+/LNXGe+mll4QQQpw7d04MGzZMBAYGCovFItq2bStmzZol0tPT6+7CKkG9Gtc6Oo2FCRMmiO7du4utW7eKrVu3im7duonJkycXOycqKqrY5JSeni727NkjEhMTBSC+++47sWfPHnH58uUabVfXrl3Fli1bxJYtW0TXrl2vaZcrWVlZYsyYMeL7778XR44cEVu3bhX9+/cXffr0qbE2uSuFhYUiISFB3H///SIkJEQEBQWJe+65R/z0008iPT292kZwSkqKOHTokPjll1/E0qVLxbp168Thw4dFampqpT8rPT1dHDlyRGzYsEEsXbpUrF69Wvzwww9ixowZokmTJiIsLEw8+OCDIjExURQWFtb3rXV7Xn31VdG+fftrjrdv31689tprFfqMwsJC0adPH3HnnXfWdPMq5YgWQoh169aJXr16CYvFIlq3bi0+/vjjGm+Tzo1HZR093377rTCZTOLDDz8Uly9f1l5ZWVn1dQmNGpvNJlq0aCFefvllIYQQX3/9tfD09BSbN2+u1udevHhRANd8zquvvio6dOhQ6nuOHTsmQkNDNaO+NOPabDaLb775ptixb775Rlgslmq1V0envtGNax2dGqA2PHXVRd1R37Ztm3Zs69atFd5RV9mxY4cAxNmzZ2ukXQ0Bh8MhfvnlF/HYY4+J5s2bCz8/P3HrrbeKBQsWiCtXrlTb0M7IyBBHjx4VGzduFEuXLhU///yz2L9/v0hOThZ5eXkVMs5//vln8fXXX4vp06cLLy8vERkZKWbPni3Wr18vnE5nfd9Ct+Cll14qtY+5vn799dcyF4nt2rUTr7/++nW/x263i9jYWNGrV68a3bXW0XE39IhD9+Zf//qXCAkJEYmJicJqtdZIxIpqXG/ZsqXY8b/97W8iKirqmvOdTqfo27dvMadeWcb1t99+W+zY119/LTw8PKrd5huVykYrCiHETz/9JMaNGyeCgoLKjKIsKioSjz/+uAgKChJeXl5iypQp4vz587VzEY2Aesu5dlcqo4a4adMmnnnmGY4cOUJBQQGtWrXi4YcfZs6cOXXcah2da/niiy+qlQuu8vPPPzNu3DiysrLw8/OrhZa6N4qisGPHDn766SeWLFnCxYsXGT16NDExMVoZn+rkLTscDtLS0khNTSUtLQ2z2UxoaKiWo60KkhUUFODj48OZM2e0fPGoqCimTp3KtGnTKl2r90agLnQTHA4Ht912G6dOnWLt2rW6aJiOznVQFEXTDXjzzTe14ytXrmTKlCl888033HrrrfXYwoZLUVERkZGRpKSk8I9//IPZs2dX+zMrm2+flZVFkyZNiuXBKoqCEAKj0ciqVasYNWoULVu2ZM6cOcXWzO+++y7vvfceZ8+erXa7b0QmTpzIhQsX+PTTT4Gr+c6tW7cuU5gTYMGCBZw+fZqIiAgefPDBUvV/HnnkEeLj4/nqq68ICgriqaeeIiMjg127drlfvrM7UM/GvVuhhjx99tln4vDhw+KJJ54Q3t7eZe7Y7d69W3z77bfi4MGD4vTp02LBggXCy8tLzJs3r45brqNzLe4e6toQkWVZ7Nu3T7z44ouiW7duwmw2izFjxoj3339fnDp1qsxd54q+srOzxcGDB8Xq1avFkiVLxJIlS8Q777wjnn/+eTFkyBBhNBrFgAEDxOuvvy6OHj2qaybUEFXVTbDb7WLq1KmiS5cuIiUlpS6aqqPTKPjqq6+Er6+vyMjIEEIIsXfvXuHr6yvefvvtem5Zw+eOO+4QQ4YMqdHPrEy+vSzL4sCBA8VejzzyiIiKihIHDhwQeXl5QgghbrvtNjFx4sRi750wYYL4/e9/X6Ntv1GobrRiWfo/WVlZwmw2i++++047dvHiRWEwGMSKFStqrP0qsiyLqKgo8fTTTxc7vmLFCmE2m8V///vfGv/OmsYtjGuHwyHatGkjZs6cec3fHn74YdGmTRtx5cqVWm9Hv379xIwZM4od69ixY7liHSWZNm2auOuuu2q6aTc8H374oWjdurXw8PAQvXv3Fhs2bCj3/HXr1onevXsLDw8PERkZ2ahyDvVQV/dAURRx9OhR8frrr4v+/fsLo9EohgwZIt58802RlJRUYUM7JydHnDlzRuzYsUMkJiaKxMREsXLlSvHmm2+KCRMmiC5dughvb29hsVjEvHnzdIO6lqisboLD4RAxMTGiefPmYu/evcVySm02W31cQp1TmXH50qVL4o477hAdOnQQkiSJJ554ou4aquN2OBwOERkZKebOnSvOnz8vmjVrJh599NH6blajoEuXLuKpp56q0c+sbL59SUoLC9+8ebMwGo3ijTfeEElJSeKNN94QJpOpmHGoU3GqK8xZlnG9Zs0aAWiOMJXu3buLF198sTpNLpOG7nxzC+NaiNpTOawoVVVDdGX37t0iLCxMfPbZZ7XRxBuWykYUqGq5TzzxhDh8+LD47LPPGpVabmpqqkhKSir3VVhYWK2BVt2R6969e7E+qVM6iqKIs2fPivfee08MHz5cmEwm0adPH/Hyyy+LPXv2XGNoZ2dni5MnT4qtW7eK+Ph4sWLFCpGYmChefPFF0bZtW+Hp6SliY2PFl19+KdLS0oQsy2Lv3r3i0qVL9X2pjZbK6iaoC5HSXr/88kudt7+uqey4fPr0aTFr1izx73//W/Ts2VM3rsuhMk6LjRs3ikGDBonAwEBhtVpFVFTUNQrM7sonn3wiAgMDRbdu3cSUKVN0rYgaoKCgQBiNxmtymWuCygorulKacS2EED/88IOIiooSZrNZdOzYUfz000813u4bhepGK5ZlXJclMjd27Fjx0EMPVbm95dHQnW9uY1zXlsphRamKGqJKs2bNhMViEQaDQbzyyiu12cwbkspGFDz99NOiY8eOxY49/PDDYsCAAbXWRndED3WtHxRFEVeuXBHz5s0TEyZMEBaLRXTu3FnMnDlTPPnkk+KVV17RFL6XLFkinnzySdG0aVMREBAgpk+fLn744QeRm5tb35eho1Mu1Yn0Gj58uG5cl8GNlJ6Wm5srrFar6Nq1qxYqrFM9tmzZUmnRUh33pq6iFStrXI8ZM0Y8/PDDVb6u69GQnW9uY1wLUTsqhxWlsmqIrpw6dUrs379ffPrppyIwMLBWPIY3KlWJKBg6dKiYNWtWsWOLFi0SJpNJ2O32WmurO6KHutYviqKIvXv3aqGw4eHhYtiwYWLIkCHC399fhIeHi4ceekisWLFCFBUV1XdzdXQqRHUjvXTjumxupPS0P/zhD8JqtYrw8HC9ZGAN8cEHHwgfHx8hy3J9N6XWqWy6oMqmTZuE0Wi8Zie9rAou9f1s1kW0ohDuFRYuRMN2vrmVtOwDDzyA0WhkypQpvP766/zud7+rs+8ODg7GaDSSnJxc7HhKSgphYWHlvjcyMpJu3brx4IMPMmfOHObOnVuLLb2xSEtLQ5bla36DsLCwa34rleTk5FLPdzqd11UObmx88803dOvWjXHjxjFu3Di6d+/OggULip1z9OhRsrOzAbhw4QJxcXFcuHCBnj170rRpU+21ZcuW+riEBo0kSXTo0IE5c+Zw8eJFTpw4wb333ovT6SQhIYELFy4wb948xo8fj4eHR303V0enQlRlXNa5Pna7nV27djFu3Lhix8eNG1fh8XfPnj1s2bKF4cOH10YTa4wXXniBxMREtm3bhtPpZP78+fXdpEbBY489Rm5ubqOvHPH9998ze/Zsnn/+efbs2cPQoUOZOHEi586dK/d92dnZ3HPPPYwePbrUv/v5+XH58uViL6vVWhuXUGGCg4Pp2LFjuS+r1crAgQPJzs5mx44d2nu3b99OdnY2gwYNqvL39+nTB7PZzOrVq7Vjly9f5uDBg9X63Ovx+OOPA1fnm4amSO5Wvc9qtTJy5EgGDRpUI+UDKoPFYqFPnz7FHh6A1atXV+rhEUJgs9lqunk3PCVLHQkhyi1/VNr5pR1v7AQGBvL111+Tk5NDTk4OX3/9NQEBAcXOEUJw7733AlfLEomrES3XvEaMGFHn7W8MeHp6MmPGDJo2bYq3tzf33XcfW7duZciQIQ1uwqgJMjMzufvuu/H398ff35+77777mhJYJVm0aBHjx48nODgYSZLYu3dvnbTVXXE6nbRt25ZZs2Zd87cZM2bQtm1bUlJSar0dlR2XdcqnOk6L5s2b4+HhQd++fXnsscd44IEHarOp1eLzzz/nH//4B/Hx8fTo0YPZs2fz1ltv4XA46rtpOg2Ed955h/vvv58HHniATp068d5779GiRQs+/vjjct/38MMPM336dAYOHFjq3yVJIjw8vNirodCpUycmTJjAgw8+yLZt29i2bRsPPvggkydPJioqSjuvY8eOLF68WPt3RkYGe/fu5fDhw8DVDZe9e/dqY46/vz/3338/Tz31FGvWrGHPnj3cdddddOvWjTFjxtTKtTR055tbGdcA+/fvp3///vXy3U8++SSff/45X3zxBUlJScyZM4dz584xY8YMAJ577jnuuece7fwPP/yQ+Ph4jh8/zvHjx/nyyy/5+9//zl133VUv7W+MVCWiIDw8vNTzTSaTXoNWR6eemT59Onv37mXFihWsWLGCvXv3cvfdd5f7nvz8fAYPHswbb7xRR610b0wmE88++yzz588nPT1dO/7666/z448/snz5ckJDQ2vt+6sT6aVzfaritNi4cSM7d+7kk08+4b333mPhwoW12cQqs3z5ch577DG+/vprBgwYAMDMmTPJycm5JqpKR6c0qhrh8eWXX3Ly5EleeumlMs/Jy8ujVatWNG/enMmTJ7Nnz54aa3ddUNloRYC4uDh69epFdHQ0AL///e/p1asXn3zyiXbOu+++y9SpU7ntttsYPHgwXl5exMfH18oGQaNwvtVPNHrp1KbKYUWpjBri+++/L7p06SK8vLyEn5+f6NWrl/joo49uiFyXuqQy9RWFuCpo1qlTp2LHZsyYUWuCZo2hJp+OTl1QW3U4b0TqWwS0suOyK3rOdenURNUSIYT461//el0h1vpg586dwtvbW7z33nvX/O2FF14Q7du3b1CiRTr1Q1UEiI8dOyZCQ0O16kOlqZdv3bpVLFiwQOzdu1ds2LBB/O53vxOenp7i2LFjtXIdOteybNkyYbFYiqnGZ2dni4CAADF//vx6bFnlcCvjWlc51CmNytZXVEtxzZkzRxw+fFjMnz+/1ktxNfSafHVNRkaGuOuuu4Sfn5/w8/MTd9111zVlj0ry008/iXHjxomgoCDdwGqg1Jbgyo1KfYqAVqXu7Z49e8SePXtEnz59xPTp08WePXvEoUOH6qzNDYHqOC1UXnnlFdGqVasabpmOjntQWQFip9Mp+vbtKz7++GPtWFmlwVyRZVn06NFDzJw5s0barVM+jcn55lbG9Y2kcqhTOSpbX3HdunWiV69ewmKxiNatWxcbVGuDhl6Tr66ZMGGC6Nq1q9iyZYvYsmWL6Nq16zUq5iX5z3/+I15++WXx2Wef6QZWA6W26nDeqBQWForw8HBhMBjEu+++W+ffX9lxmVKUeHUjsDiVdVp88MEHIi4uThw7dkwcO3ZMfPHFF8LPz088//zz9XUJOjq1SmUjPDIzMwUgjEaj9pIkSTu2Zs2aMr/rgQceEBMmTKjxa9Bp3LiVca2j05BpyDX56hI9NLjxUd91OG9k7rjjDjFkyJD6boZODaKnp+nolE9lIjxkWRYHDhwo9nrkkUdEVFSUOHDgQJllnhRFEX379hX33XdfrVyDTuPFVCeJ3To6NwB33nkns2fPRgjBwoULb0gl6IqwdetW/P39iwkXDhgwAH9/f7Zs2VJM1VKnYfD444/z+9//vtxzWrduzf79+7ly5co1f0tNTdWFsKrI/v37mTBhQn03Q6cGefTRR3n00UdL/dtXX31V7N8zZ85k5syZddAqHR334cknn+Tuu++mb9++DBw4kE8//fQaAeKLFy/yn//8B4PBQNeuXYu9PzQ0FKvVWuz4yy+/zIABA2jfvj05OTm8//777N27lw8//LBOr02n4aMb1zo6NURDrslXlyQnJ5eqZBwaGqrXyG2gBAcHExwcfN3zXOtw9uvXD6iZOpw3KoWFhRw5coTnn3++vpuio6OjU2fcfvvtpKen88orr3D58mW6du3KsmXLaNWqFXC1DvP1al6XJCsri4ceeojk5GT8/f3p1asXGzZs0OYqHZ2K4naluHR0GiINvSZfTTB37lwkSSr3tXPnTqD0euNCr5Hb6KmtOpw3Knv37kWWZXr37l3fTdHR0dGpUx599FHOnDmDzWZj165dDBs2TPvbV199xbp168p879y5c9m7d2+xY++++y5nz57FZrORkpLCypUry6yHraNTHvrOtY5ONVFr8q1du7ZYTb6HHnoIs9lc382rM/TQYJ2K8M033zBr1iytRmlMTAwffPBBsXNKq8N53333af9Wn7OXXnqJuXPn1n6j3ZTdu3fj4+ND+/bt67spOjo6Ojo6OoAkhBD13QgdnYbK8uXLmTp1KgsXLuTmm28GICcnh1atWvGPf/yDP/7xj/XcQvcjKSmJzp07s3379mKhwQMGDODIkSPXzbk+c+YMkZGR7Nmzh549e9ZBi3V0dHR0dHR0dHSujx4WrqNTRXbt2sWtt97KW2+9pRnWAH5+fsycOZM33ngDWZbrsYXuiR4arKOjo6Ojo6Oj0xjRd651dHTqnIyMDGbNmkVcXBzwv9DggIAA7RxJkvjyyy+59957gas5VK6hwSo3emiwjo6Ojo6Ojo6Oe6Ab1zo6Ojo6DQ5FUejcuTOxsbG8+eab2vGVK1cyZcoUvvnmG2699dZ6bKGOjo6Ojo7OjYYeFq6jo6PTgPnoo4+IjIzEarXSp08fNm7cWO7569evp0+fPlitVtq0acMnn3xSRy2tWQwGA8899xwff/wxmZmZAOzbt49bb72V1157TTesdXR0dHR0dOoc3bjW0dHRaaB8//33zJ49m+eff549e/YwdOhQJk6cWGZ9z9OnTzNp0iSGDh3Knj17+Mtf/sKsWbP46aef6rjlNcOdd95JcHAw77//PhcuXCA6Opq7776bP/3pT/XdNB0dHR0dHZ0bED0sXEdH5xqcTidRUVFER0fz/vvvF/vbjBkzWL16NVu3biU0NLSeWqgD0L9/f3r37s3HH3+sHevUqRNTp07l9ddfv+b8Z555hri4OJKSkrRjM2bMYN++fWzdurVO2lzTzJs3j7/85S80a9aM1q1bs3jxYoxGY303S0dHR0dHR+cGRN+51tHRuQaTycSzzz7L/PnzSU9P146//vrr/PjjjyxfvrzRGdYNLbzabreza9curV60yrhx49iyZUup79m6des1548fP56dO3ficDhqra21yZ133klBQQFCCBYuXKgb1jo6Ojo6Ojr1hm5c6+jolMof/vAHgoKC+PDDDwH45ptv+Otf/0pcXBwdOnSo59bVLA0xvDotLQ1ZlgkLCyt2PCwsrMzyZMnJyaWe73Q6SUtLq7W21iaPP/44cPV+6Ia1jo6Ojo6OTn2iG9c6OjqlYrFYePrp1umX5gABAABJREFUp/nggw9YtmwZDzzwAAsWLGDQoEH13bQa55133uH+++/ngQceoFOnTrz33nu0aNGiWLi1K5988gktW7bkvffeo1OnTjzwwAP88Y9/5O9//3sdt/xqyTJXhBDXHLve+aUdbwi88MILJCYmsm3bNpxOJ/Pnz6/vJuno6Ojo6OjcwOjGtY6OTpk88MADGI1GpkyZwuuvv87vfve7+m5SjdNQw6uDg4MxGo3X7FKnpKRcszutEh4eXur5JpOJoKCgWmtrbfD555/zj3/8g/j4eHr06MHs2bN56623Gmx4u46Ojo6Ojk7DRzeudXR0ysRqtTJy5EgGDRrE7Nmz67s5tUJDDa+2WCz06dOH1atXFzu+evXqMqMLBg4ceM35q1atom/fvpjN5lpra02zfPlyHnvsMb7++msGDBgAwMyZM8nJyWHBggX13DodHR0dHR2dGxXduNbR0SmX/fv3079///puRq3TEMOrn3zyST7//HO++OILkpKSmDNnDufOnWPGjBkAPPfcc9xzzz3a+TNmzODs2bM8+eSTJCUl8cUXXzB//vwGVbpq165d3Hrrrbz11lvcfPPN2nE/Pz9mzpzJG2+8gSzL9dhCHR0dHR0dnRsVU303QEdHx30pLCzkyJEjPP/88/XdlFqjIYdX33777aSnp/PKK69w+fJlunbtyrJly2jVqhUAly9fLibKFhkZybJly5gzZw4ffvghERERvP/++w0q3L9Pnz7k5eWV+rdXXnmFV155pY5bpKOjo6Ojo6NzFb3OtY6OTpls3bqVQYMGceTIEaKiouq7ObVG//796dOnDx999JF2rHPnzsTGxpZZLzo+Pp7Dhw9rxx555BH27t3bYOtF6+jo6Ojo6OjoVA89LFxHR6dMdu/ejY+PD+3bt6/vptQqN2J4tY6Ojo6Ojo6OTs2i71zr6OjoAB999BFvvfWWFl797rvvMmzYMADuvfdezpw5w7p167Tz169fz5w5czh06BARERE888wzmjGuo6Ojo6Ojo6Nz46Eb1zo6Ojo6Ojo6Ojo6Ojo61UQPC9fR0dHR0dHR0dHR0dHRqSa6ca2jo6Ojo6Ojo6Ojo6OjU01041pHR0dHR0dHR0dHR0dHp5roxrWOjo6Ojo6Ojo6Ojo6OTjXRjWsdHR0dHR0dHR0dHR0dnWqiG9c6Ojo6Ojo6Ojo6Ojo6OtVEN651dHR0dHR0dHR0dHR0dKqJblzr6Ojo6Ojo6Ojo6Ojo6FQT3bjW0dHR0dHR0dHR0dHR0akmunGto6Ojo6Ojo6Ojo6Ojo1NNdONaR0dHR0dHR0dHR0dHR6ea6Ma1jo6Ojo6Ojo6Ojo6Ojk410Y1rHR0dHR0dHR0dHR0dHZ1qohvXOjo6Ojo6Ojo6Ov/P3n3Hx1Gcjx//zO5eU+/NkizLvfduDBhTbHovAUJCIJQEAiEJSb75Jvkm/AgJIZVA6CT03rHpNu7GBfduucgqtnq9u92d3x9nGdm4yJasYp736+WXbd3qbm93Z3eemWdmhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopUkuBZCCCGEEEIIIVpJgmshhBBCCCGEEKKVJLgWQgghhBBCCCFaSYJrIYQQQgghhBCilSS4FkIIIYQQQgghWkmCayGEEEIIIYQQopWsjt4BcWRaa1zXxXEcHMfBMAxM00QphWFE2keUUh28l0IIIYQQQgjxzSXBdSfTFEg3BdO2beM4Dq7r7nvd4/HsC66BfUF20x+llATbQgghhBBCCNGOlNZad/ROfFNprdFa7wuebdvGtu19P2/SFCw3/bEsC8Mw9m3TfPumoLp5oC0BtxBCCCGEEEIcX9Jz3U4ODKSbeqWbeqlh/yC6KSA+nOY9102f0fR302c036Z5D3fzzxJCHD8HDutoaiA7sNFMCCGEEEJ0bRJcHyfNU7ubAuni4mICgQDR0dEA+4Lcpop2ax0YbANf691uCuSbtjtYsC0VfSGOzeGGdTSVRcuyvpaZcmCmSdPPhRBCCHF8NNWND1Z/FuJYSXDdBg5M7W4KqJsHtkopiouLSUtLIyEhod327UgBd9O+Nt9eKvpCHFnzbJTmjWhNP28q9wcOzTjYsA7btoH9h3UcrPFLCCGEEMfmYB1fruvi8/lk/iLRZiS4PkoHpnYfWKGGr1KwTdPc9//mf3e0lgTczSv7Bwu4O8t3EaI9tMewjqbPAfbr6T5wHgUZ1iGEEEIc3sE6vsLhMJs2baJHjx6YprmvA6lp+4M1dMtzVxwtCa4P48Cxkk1/Dqz4HiyQPpjOXCCPFHAfeMNp+rupF05uOOJEcmCPdNOfuro6Nm3axODBg9t8WAcc/TwKMqxDCCHEN92R6uvNn4tFRUXk5+fj8Xj2/ezAIPvA95TnrjgaElzv1ZIlsA6W4nkiO1RFH6CsrIxVq1Zx0kknSQuf6NJamo3S9PCtq6vb76F8PLV0WMeaNWvo0aMHUVFRMqxDCCHECas19fWmYZAt6Qg70nP3wM+R7E7R5BsZXB/rWMm2+uyuqvkxaH584PAtfAceR7npiI7S0tbtQ2WjKKU6vAwf7MFfUlJCTk7OflkmTdvI+G0hhBBd0ZGGZB2svnk8nm9Hm90pz91vthM+uD4eYyWP1bG+b5AgHjwYGEfeGKiiCh8+/PiP6fNaqvnN4nAtfAf+jqTUiPZwYOt287Lf9PrRNqJ15uu0eWMXyPhtIYQQXcuhhmQ1zyRrzZCstnzOHS6782AN9oeq/4oTzwkXXB+qMt1WBbO9VVDBu9a7pOk0znDOOOL2lVTymvEa0URzuXv5cduvw/XetUVKzYG/L8ThHNiI1jxNrD1btzvKwcqjjN8WQgjRWR0sk+xQQ7K6Qqr1gVlucHTL4Urd98TRpYPrlrRwdbaCeSwppRqNomX77sVLgABJOumoP+doHc3xbGlKTdM2zc/biRgMidY5sBGturqaUChEbGzscW9E6+i08ENpaa/7kRq9mm8vD34hhBCtdbhx0scyQXBX0ZLnblP9t2nS1KSkJKn7dnFdJrg+3KRDBQUFGIZBbm7uvgsSOl/BPJb9SSSRy+3LsQ5zqlzcfSnjUURxpXslAHXUESJEIonHtsOHceDsi8dCxrCIlmjJOvKlpaXU1dUxcODA43pNnGjX29E2eoVCITweD16vV8qgEEKIrznUvEYFBQVkZWVhmuZRD8k6HvvYUQ713K2urmb58uVMnjx5v9dlGFfX0ymD66OddKjp55bVKb9Oq3nxHvK1Sip53nieWB3LFfqK/YLw14zXaKCBy93LiSe+PXa11Y6UynpgUC83nRPLsU44diK1dHe0wwXcK1euJD09nW7dusmDXwghxCGHYx44r1FBQQEZGRn4/cd3PqCu6MC6jQzj6to6PBo9mlSRQ7VwKdXxM/i21JH2U2uoroC4RGhJOQkRYpPaRJlRxkBnIMP18H2vxepYNhob2cOeNg+u2+t4H6lnTW46XVdblP0m7XkP6Iz3muO9T80bu5pnB0kZFEKIb47DZZIdaUiWPANaToZxdW3tGlwfj9l7IXLxNJ8koLM62Hcp363YvMag9yCXhGTNmqUGa5cYDJ/k0nPAkb9TGmlc61zLamM1mTpzv9d60INlLGOVsYpMN5MQIRJIaKuv02GF9mhvOuFwGKUUgUBAKvsd5GATjrX18nftEfTKNdPyVQLkwS+EEF1XSzPJWjocszPc7zvDPhzKkYZbHu0wLhlK2XGOW3B9uMp0W8/e25V6rg9UWqjYtt4gPlFTWaZY9ImJAvyBw3+fL9WXhAkzUo9kKEMZ6g792jZ9dB/OcM8gT+fxO/N3mNrkJ+5P2qQXuy3GXLelw910duzYQV1dHYMGDdq3jVT2j6+Wpok1L/+t8U3vuYb2uXYPV+6P9sHfvAzKg18IITrO4TLJml5vuke3ZhhWZ31+dlWHe+7KUMqO02bBdUcugdWVgusD97NHP5foWE16tmbHZoOkNM2QcS7dekS2a+r8KStWxCVq/FGRVPBZahYuLn11X2KJPehnBQgwUU9kN7spoQRb2Ycdv32iaZ7Kaprm18axSGW/bRwqTWzDhg3k5ubuN/nV8Vr+Ts5T+zja+2xLA+4De0DkwS+EEMdHRy1d2ZXq6h2hrTqtDnzuylDK9tfq4Hrr1q384Ac/4Nlnn+2wJbC6SoE92HHw+aFbD83mNQYxcZqpF9k0bdZQBx+9ZhEOgWVBRo5mzBQHL17O0mcRJnzIwLq5FFK4w72DGB1DgMDXXndwcHHx4Gnxd+lsPdeHc+BEWM3/bnq96W+ZofzwjmZdytLSUnJycvB4Wn5dHav2ugd01nPfnr32bZFl0PzvQz34Gxsbqa2tJT09XR78QhzGgRlBQjR3sJm726vzq7nOVFdvvh+dZZ+Ol5YO4zpweJ7Ue49dq4PrYDDIxx9/DNBhM/Z2pgJ7JM33s3y3IipGU1ulmPWORVU5jJ/qULJTMfoUh8RUjeMoLI8mOV2TnvPVGOw+uk+LP1OhGKwHH3x/0DxmPMZGtZE7nDvoRrdj/3Kd1NGOYzncDOUHSyk/UW88rV2Xsr3L5Tc9Lby9tPW1fqgHf01NDZs2bSIlJUXGbwux16EaOC3LwrIsKRvfcEfTAN4enV/NdYbrsDPsw6G0Z6dVSzqaVq1aRU5ODgkJCdLRdJRaHVx7vV5CoVCHHmjDMLpchXd3kWLWOybJ6ZpxUx2cMNhhqNijUAaYFkTHQkaOS301jDnVwXOcMrq3q+2sUWtYppbRTbcsuO5Kx7t5mlNLHOmm0/Twar590w2nqy4H1zxNrK0mG2zP4Pqb3nMN7Tfmuj00nc8DZyZv+rvp+mzaVlraxYnqSL2Oza9/KRvfLIdrAHcchwULFjB69Gh8Pl+nWa6yK9Udv2kOrPtWV1fvyyQ7WEeTpJMfWqsjAZ/Pt++G3lQJ6ghdocA2v+h8Pk1jvSIh2aW0UOH1a/L7aU67wMbygLU3k7a0UBEKQn0txCdFluoKNkIg6ug/v5RSKlQFfXQfFHsLCIrbnNtYopYwUo885u/TmTWNuW6NlrTyddXAGuBvf/sby5cv54EHHgBavgTW4ZyIwbVov3J/YCv+sQzp+CZkmIgTy4Fz1xyYLdS8B6n59Xzg/w8sG1Ip7toO1QB+qBU3DMPAcZx98810Bp31Od1Zrv3ONtyyqYG7+f1BVgVpmTbpuYZIenh7jK08mM5aYA+musLgrdkWtdWRoNmxFRk5LiNOcsnIdvEfEDSfcq5NKKiIT4r8f+nnJhtXWUy9wCUr7+g++03jTSpVJVc4V5BDzr6fp5POdD39qN6rs90EDud47WvzykpXWArucMLhMGVlZW063qq9g+v21Nmu/6405rotP+tIQzpk4hbRmR2YwtsUTB8sWDraa/VwZcNxHMLhMCtXrmTAgAH7Jp2U3u3Oo61W3OhMdZPOdE11lZihIx3sGXykRm7JnIlos+A6FAq1emeOVVcJrreujWb1gmTKCk1QMHyiQ3K6y/ZNBr0GOETHRXqmN60yiIrRdOuhiUsE0JSVKmLjNVqD4ti+60g9kkIKSSW1Tb9XZ9ceAUFXuP4Ox+fz7VsPvK0YhtFuD3ZJC28f7RlcH+1wDmj5xC3Nt5eWdtFeDux5DIfDXxt6c7zGwh4s2C4pKWHAgAGS+dHJuK5LSkoKH3zwAfn5+cCxTTjWGevGnW1/mnSGBvPOsA/NtXR/JKvs69osuA6Hw63emWPVGW8gB9pdpFizMA40jJ3iYFhw2gU2u7YZzJ1hMmCkIipWs3SOSTgICSlw6Y1h6mthxQKDjatN8nq7TJrmMGSswvIcfQr+CD2CEXrEvv9vWKEINsKg0Zqjva47203gcI6lkn4susrxOBiPx9PmDWTtXS7b+7M62/luj/3pisf4WFvaO1M6peh6Dkzjra2tJRQKEQgE9r3eGXpzmjcqHU3mR3tPhvVNY9s2oVCoVdlknW0+oq5QVxdfac0z+JueVSY91+1k+yZFMGgwcFQdF14Tve/nmdqlz1BF9z4um9cYWBbk5Lv06Bf5Psvnmyz93MTyaBJTI0Hw/A8NSnYaTJrm8sUsg96DNNn5moL1iv4jNFExR96fijL44GWFx6/o3tvZ20Pecp39eDfXVIkRh+b1etu8gay908K/cT3XuhzD/hTXnLT3/w0oewnaHA6qBTeBY9SeaeHHq9y2tKVdgmvRUs0rjU3p3U3jpZVSFBYWUl9fz8CBA4GOv5c0nzm6ydE2RDVVhk3TPCEqxJ2FUmrfM7k1x7OzDVnrLHX1znyNdqZ9a8uOqbbIKutMx+ZIWh1cK6XweDzSc30YoSCsW2biOga9h9bt+/nmNQY1VYqxpzmU7lQMn+QwaLRLQvJX3yU51SUlXXHGpTbJDUF0jYVhQk0lzHzJoLFeYVqwcZVi1zaFP8pl4KjDHwvbhvefMwgGYexpLrEJx/a9usqF3hl7GTubpln/21J7tpp/E8+vYX+AEXoOPFVonUmUcxdWwxIc7w9xfTccl8/sbGOu21Lzh39nqpCKzql5hdC27f1m8W6e/tjU83i8e6iPtrwcLLg+mMNVil3Xpbi4mIqKCvr37y/DLNpQWzyTO1vdWK6Dw+tM5wqOf8fUsaSTm6bZJSYPbpM9PB4V86PR2W4gzTXUwdv/tdiy1iApK4zPH9nPgg0GM1+yiInX2GFYucCg33CX8ac7+/3+rm0mjfWKmtU26ZuqcHO9WN4AtTWK6BgYPNalpkpRuFXRa2Ckx7toOyQkQyD6YHsEpgmJaRCTAMMmRnrDG+pgy1pFj34t6/nuSiS4PjKfz9el08JP5BT0g3w4ZvBe0JtxrSm41smYxioUZYCLNnsex4/uemnhx/rZQjRpnuLd1Ct94NrBnSHF+2i05hpvXim2bZvGxsZ99+CmBoeDzV7dlY5PRzsRg2uQe+vhdLZj0xHP4MMF3B29KtXRaLOe644MrjvbuJLmwiFwHMXAkQ59x5WyfWMcSz+2KC9V2CEYNt4hK09TtE2RkRP5DvW1sHyeSXq2y47NCsdVJPUx2LPHT0yOl/r1kJalGT7Rpf9w2LoeYuJg/FRNxW6Y+YpJerbm7Cv3731pqIsE3ErBtMv3f23FQsWcGQYTTncZf/qRj2VXCljbY8x1V68wHI/sk/buAfzGpIW7m8Fdg8KL47kSjHQcdyON1v/h9yq0mXPk9zhGJ3LP9YE6xbkWHeLAFO9DrS3dWdYObo3W7nvz4yETGrWN5mnhrdGek4q2RGcK9jvLfhyoM5WDjn4GN+kM+3C0pOf6OItLhHOvDuPxQcE2xZ5dHmoqDXJ7u3Tr4eL1Q8VuxbnX2Pt+p3CrwbLPDJKTwXYUsfEua9ZZbChMpmeCy6BRLguqDFLSweOFPoM1fQbvbdmxISFZk52nm70fLJ1jUL4bJp2l6Tng68eqR19NxR5Nfv+WHcfOerwPprPcIDqz41GGT+Se6w6ja7GC/wc42L67wUjf95Kr+mI4D6FCa3B8P0WbfY7LLrRXWWqviQiFaL7s0YHBNHx9/N+JoKVp4S15n4O9x5EmNGoe9HX18ZXHQ1t0WnW25+I3/Zx2NZ2t7tyVGuHaJLju6J7rznYDOVBMfORvs1YzMquCwGmpZOZFepJfecSDUtC9j4vXF9muex+XU2OqyQo1UBwfxfK6WBZ9amFamoQkTdEOk8Ktim0bFZndNcvnKXx+GDBSE5sAF3038tAq3gHL5xks/kyxfoWi3zAX44D5eUJBmP2eQVqW5qzLjq6Fs6tc5DKh2ZE1LcXVljfTEzm47rj7TQBtDo780/h6+rcmAEqh1fEZk/RN6rkWJ6bmwd3BUrybpzJ3pcrc0e7n8Q6uD3Sk8ZXl5eVs2LCB0aNHA9K73VY9152tbtzZ9qcz6WzPvM62P11Jm/Vcy4RmRxa7yCawE+L7NKINP9GxMOZUB8NkX2ANkX8PHutgLAgx84NoihM02RNdpl7kkJCsCQVd6qoN+g7V1FTCF7MNTFOT20cz932DlEyN5YEPXjYwTIhPhh794PRLND367n+c9hTD+uWKwq0wZOz+r63+QuGP4qA93V3heDdpjxtEVzoeB3MiTGj2jUgLVyaO7yf7/aj593a9NwFBUP523rG2J41ioi00jQNuCqYPl+Ld4eW7C2qr5Xq01vuN3W7JUmDN3+NEcyKOue4s+9NZr5nOcGyatFXj2zdVm4y5lrTwlgn2MCkoCtCwNIqsBli5yGTimTZp3TRVZZEgGCIzga+3kuj9rRiy7TDxpfWcdoaJJzmy7FnhFsXGVQrTMpg83eWkaZH08mA9FBYoaqohKhqiYmHwaJcxUzT1NZG1sw/U2KAIhzRDx0V6rctKoLpS8fHrkdnHE1Pg5l87HGxyvq5S6CS99MiOV1p4e433au/z2xnvN0qpyIQKHL/A+pvSc/1N6yU7kTQFZa7r0tjYSEVFBfHx8ftNPCapx+3fc30kTc/pw43dPtRSYCfiZGltFVzLmOt2pG04XNaYW4oZfhxXDcO0H8exrkB7LgAUqM41f0NnDK670rUjaeHtqDHfZP7cBIyVHnYUuZQWKvL7G2xdC0vnmkw536b/CJcVC03mfWCx+KwVDJi6iWmzhqKKU3C7R4LrqMw6MnsGyOkZOX09B2rmzjBobFRUV0TGTcclQWEBDBqt8QfAHzj4Pu3eBZZH4bqKdcvho9cNvD4o2QnBBkXfoQcPrLvC8W4iPWBHJrOFi5b4pgTXomto3sPZfFmspl7p+vp6Vq1axUknnXRCBV5toa3KV1u+z8Ge04dLJz9w6bPmgXbTn65Kxlx3LcpZiqf+ShzrPJzAnw66jRF+FSP4OIaKRemNGPZcdOj/AVGEoz9t3x0+gs4YXHclkhbejsoKPNRusUju5VJXHZm5u7wEFr0CvgSXYKNi2RyDFQsMDFPjG76ZZeVhek4JkD0sinAIgt5a3k5/gagro0iuvJbGBoPyUlg+T2GHITFVE5cIOzYpaisVu4sUSWl7C8mGBiizqe0fQ0OjYvNqRZ+hmqzuDpndYdc28HhgxESXPcWKpXMhFFTAwY9tVyl07VFJ7+oVt+NRhk/EcdCd8Rwf7HsrZxPKWYBrnQlGapt+lkxoJjpK86WemgLpA1O8m/diNq2H2lmCrM50PbfV/bIjgvTDTZbWdF34fL5D/n5X0BY91zLm+tCOaj/cAgxnbeR5qg5xL9HlgIHSu/b+zmbM8PM4nmtBpQJ+DHsWihps61uY9ku45ikYzmdAGHA7VYOyBNetI7OFt6Po1S5JO8P0HNJIdZKPtG4uoe02GdUhpg+v4/PV6WzfqDBM6DPYZXDjGbzxkofZ8X5G+Bxmvmwx/lw/3sk+alZn8dzrFjFxcNUPXaZe5BKVHMRQBlu+9LBrG2T31PQe3GzW8P9Ws3GLxap0INaksR4sr8vIkyLb5PaE79+9BkUVDaHRJKUZ+43R3rkFtm1SjDxJd4nj3aQz3bA6KxlzfXQ6+/WvnDkY9idoIx1tnN7Ru3NMtNb7ljrqiM8WHa95r3TT5GPNZ/FuSYq3nMuD62w9167rHnMjyIFjt0+Ecy5p4Z2H1XAzSu9CKwttHfx5qq2phKPeQhvdADBDj2CGX0G5xSh3Pa7KwXA+BDTacybhwG8BcNwiwAPK16mOTdN105nqzl2pE0uC63aUMCTMeaEisq+NgczIuCGnXhPOCRHVM8CAOodAnCZu6kp6JaaR0JBGjxyLzFyX0iJFXY1CN/gYPu86Pn7eZHcjxE7YwhJzN4NHD+ZZ41nWPjqYmMXjiImBfsOh+bPq3ZpUimo1bsBi9ChNctpXS3g1Me3XgSB+fw5jTs3c77U5Mw02r1YkprgEEjtXoTscCa6PzOv17qvEWgcbB3AMTuQx151R82MQaWHPQJvjW/bLuhIz9ASuNQ1t9AZcUN6vbyZp4eI4OTDFuymYbv5sb5p4rOnfonU6U3At5X1/MqHZ8d2Po+Fa52E4H6KNAaCDeOrPAUzCgVfAiNm3nRH8J4ZeRTjwEtoYhVZzcYyRWO5aTPs9IIimO1rlgdaROVKM/evZnaUMNG/AFEdPxlwfT1pDlQMJkcMczDXROQZkevZtYkYZmGfH4gIDcPGO2sQb1gwKSgYwbOM5nH5lA7ONz1n8wGCSkroRl6B5+88GakcDF3yvgc+uf515yqCv7ouJSe6kUgaluQweBQ31EA5F1sIGGHOFycdvGJgG9B2q6TVQU1Ue2S4QFdnGtU4HXQEq7WtfZ/xUTWYu9OinKSruhMf7EFrTIt4SJ0JLeVMKXSgUatPg+kTrue4sD74jMjJxD3hoH5QOYYRfw2z8XxS7UOFPUewGaghHfw4qaf/N2zk7oMscb3HUDkzxDofDbb62tFw/h9bZgmIp7/trWh6zNTpjWnhXo5wNKL0Vx/cbMLqBuwvlrgEUVv3luN5r0UYmRvgtTPtRwItVdzFK70RRhUEttvenGMHnMd33UezEW9cHbQwnHPM5AEb4XZS7Eri0A7/p/jpbWnhXu45lzPVxZC6ow5hVjXNmPO7w6EPuZ/EORTillFmxMxnoDmSMO4YtMwbz8QoPNb5y5polbN2ex4VDXWwb/DEwpk89I0f4iOFsFugF/HflIgKfXMNFFyiyz4UvFyg+fctg1GTNpLMivYeDx2g2rNAUboXEFE1lGbz4kEFUDFzzIxe0jXIWAg6akwAT3BJQ8ZQU+qmugJOmuft6wztLoTsSeWgfmdcbaYEJhUJERUW1yXueyKnaB/2sBhfrvUqc8THorK/3+nYWyvkSq/HnOJ7rUM4XmOGngSpAoVU2hjMf8IIOwQHF5pvSc92V0s+6gqYGyIOleDe9frxmfO4sdYPOsh/NdaaguK0bwbt6+ZWe6w6iNehyzNA/0aobShdhhN8BLFx8KGcJaIVm7zPe+RIz9CSGO5fI/EQhDL1g75spXO3Farwj8jxFA8HIK+5GzMbfY4YfifxYGfiNHijVs72/8UF1xvPUGffpUCQt/DjSXoUyFPi+emBordm4ysDjhbw+LlvXG7zzjIXq5bBjXIiNn8Zy67kjyBmpWIvD4LwE1r53Or7YeAaOcuk7zCUn3yA5JQntVfTWvXnbeJvN26LJ3uVStstLdndNUqomLgFSMiLHxcZmWelOtm3tTsBrkZQGDXXgjwJvUgOz9sxmyMfdSB5qQQ+bD16xKCms4vJrn8Qfk8qbT9/AF7sLGJ6whhv7nI7WmnBIMf8jRUqGpvegDjrILSDB9ZE1Bddt2Uh2Io65Ptx15Hm5HM9finEmxhD8Z95x35cmR/u9lTMf5W7CDN6L0hsBGzAAjek8C8SiVSYYGQf//W9AcC1ap3mKd1Mg3TyYbgqgj3eKt1w/h9aWE5q1RVDcluX9RDjvMua6A7iFGKGnMUP/RmEDYTTJuJ6zUM42rPB0tOqPxgDlRZvJmPbLoCuJTEpmAQ4QIBJEe7BCT4OKA/agVQ7oXWg1CCdwH2boPtBhXHME2hhAgz0MqOmgL7+/pvJ4IpSljiA918eROzKa0JAo8Hx1cdbVmCx8z0IpuP5nIeISNdGxmv7ZmcSvPpedGzLYtS3SeLZ+hUlmd81lExLZs6qKHqX1oOJJyQDDUITD8PIjJob/cmKuepSs3imYvVOx6UNOT4uzr3LYvFbRUA+ropfxbub7ZE4/m8kxo1j0qSIQDdfe4bLUWMXyuSvpMd8g2Xs+bt8E1q/w0lgfRVVlAv7YdHoNDzN32S50xnyccAUr54/h4zfyKCkwSe8G//OgTXp2Bx7sw5CluI6seVp4Wzmhx1w3unieLsUZEY07KhoAe3wM5ocB7LMT2ndf9mrpMXCtK3HsRZj2zL0/MYkE12FAo1UPbP/PDvq77T1buJTbruHAXunms3g3XS+GYWBZVruX1c5YN+gMOls6t6wOsD+Px3PM9eqFxkKe9jzN6dGnM1wPb+M9O3ad4fwqvRuPWYNHz8Ef/C+2dQm2eQE4W7Eab8ZwvwBstDECrRIx3CWAAt2A0sUoXQF40WQAAZQu3PvOBpokFBWAxmUAikIUy0BbQBj0TkCh9HpsIxPXGIfBexjOakKBf6CxUKq2Q47LgaRxu3Wk57qtVTtYr5Sh+/hxJsXtF1g7ysEbYzN0vIPPFxkLnZym+e5Pw4RDMCSYyrZeYZYNfpmKxTlofQrKgDhskqMaqFjvxzwJYuIi7xdsgNKdihozjiRPHEvKtzDzfofvXWMTztrFkg/zsBcMwh9wyJyUSY7RjUmTY0gr1Xz4qolpwsBRDkk7BuIUxWKeHYU7Kpn6OgsNpGT6SM2/CRfYuD6If0c+I9b0I2ro5xRtGYDrpJKdr8nKhZj4DjnaLdIeD+2u3sJnmiaGYXTp4Lo97wGez2vxPFSKlemh4b2+AOjefhr/27YpXdUVMOOlyPCO/P5ffb9VixWz3jE49XyXvkNb9l4azW84n2pm81c7jIkDeAiRhEU8ij1AHEoXYgXvJ2yOBeOruRdWspLXer3GcIYTINCm3/Og+9tBD/cTYQ6F46l5indTr7Rt24RCIVasWMGwYcOwLOu4pHgfra58Tz7eOltwLY3g+/P5fFRXVx/T7y4yF7HOXEe32G4MqxnWtjvWSh16b9UVBELnM35ANQFDY+lSsBuw1XSs0O37Ammtsgn7H8BwZqGCGzHDzwIhIBrXHI7hrN27TnUZkbFTmkgDdTWRRuowBmsAz97XmjeSaDSNgBuZJI1otDkcVC6wqx0PxuF1xuC6o58nR+OECq47w8Wg9tgYu8Jom0hwDWxUG2lUjbyZ/CZJG/zcbGWiJiTSNKBx3XKD++/y0Xeow43372GGtxBzYjE3DBxDbLTFru1+CnpmsXSFl5iH4PqfRW5Ou+I3EL59Pucap9DTuoGn19RTs7MeXRjFom5vsCuplqE9+tDbaCThj/C9C6/Czg8QioL8fhqvH0wT1s+PYvecAWy4rII1SZ+SVTQUO5RJsOGrY9kwcgnVdiNF9GLbzu4MuLCaPZPeYbR5FqvfTaV0l9pv2a7OpDNcF11BW2egtPeEZtDG57rRxVjfiDs4AMb+66qGR0fhTIvHmRDbNp91CIs/M3jveZPiHS63/d4BYNNqxYO/MaksU2Tna/oMOcwx1qF9s34Hw2/zdOBDTDR/JvLYt4H+SWWMCVfy71qbhVYFp4QVlluD1fgT7KinAXjMeIx7zHuo7VXLEHcIP+AHx/V7g5TbzuLAFO+DrS3dlOJdV1eHZVltv4RayI2UQevorofm9wXrkxrMT6sJ35LWqedEaC9tdW9uq8ZrKe/7a03P9bXha+nj9iGtPA3XlLRwIJIO6tajdDkeM4jDQJTKJWTdQyA8HVMvBgK4aiiu99tYjXdhuGtxrbPB/hzFDsBGOWvQaBSNKAoBL45xOqb7EYrGZh/oxSUbgwIi8xjFAKFIurnKAaMbduCfGM5yXOs8UFanKgOdaV+6ohMmuO4sdL6P8JXJ6OS9M4QT5BXPK9jYBI0gAz7IxWqoxu0ejc6PpOLWVkGwXrG7yCBWxzF+2XWs/TyG2nM8rJ5v8NnbJlorvD7ITHT2fVYBBezptoYqtztxujsXTYkjpdFgeI5LVv23eHJuHKVumBW7FlOzxsRtiKcy2WBXgaK+DqJjYeKZMHKyS3ySpnr4lzxhPkZMtxh+eNvv6BmViXLWo1Ui505OJ2P4OtbdcxLblI+s7/+Lgm6LcF4cRcmqNJ7+s8Ftv3dI+vok4x1ObhJHppRq81n/O+JB2mbnusYhcP4GjKIwwd90w748eb+X3TiD4P/Laf3nHMHIyS67i2DUyV8dR48X0rtphozVTL3o0BUn5SzDCD+Ha54FNPBHdQU9Hc0fai38RJYCLFJ+rFIPm8tj+F7P7SzwwN31mqF2Pcv89VxHiC1qC381/0qQIN2ru3Om/0xoh9hEym3HcF33kME0HHoW76bX26LMq+IwuDoSBFc7+O7egY4xCP0hZ19DFwDlNkQZ4D9yj6f5aRXmknqcjY04ElwDbVd3krTwtufz+Y75eRxPPGc6Z7Jer2+XZ7CLi8GRy2BHnl+P/VcsZx6aRExjK5oaXDUaTRhDb927VSOGno8RXIEmCo3GMaagPP2wwvcCdXtX02gujOm+S6SzrKkXO/Jzgy2AQhOLIghYaNKxfXdGNjHycY38fe/UmTKmtNZ4rVqM8Pu41qmg/B29S11Kmy3F1dFjrqETVcZiTVRIowEfPiY5k7CxySzLxBjZCIEkdO5XD/dRJ7v85rEGktI0hgGVq9LYtcpkVarDsrkme4oVg0Y7XHZTmEA0NJ22iXoilW4l+TpSOL9caLD6C4NtOYtIveBLgtMDNNQE+Gj4Lja+N5ncYh/ZgGXBqJNc/FEQFRMJslMzNZUMYpE7iAbVQGy3BmLdbRihx4A4evr/l3yjhPmpL1BQ1peTjfk4i4ey+sueVFdAUipUVyqS0jrPzaGJjN1smbZuJGvvCc2g7R5O5pf1GLvCqEoHnbN/Rbw97zEJyXDFLZEA2rbhH78ycR346QMOgejIMpm2fYj90o2gXczQPzHcFTyVqDGAbNelEigxDHr/5ScsfnAojb4wi85cRMFvnmJwYikXxLvUq/d5172UFcYKxrpjOcU5hez52XQ/tXu7fPdOcz8/gTX1Sruuu1+K94G90i1J8T7mMqg1xpcN6DQrEkw3uHj/ZydoTfCv3cHR4GhUWEfqrY0u1usV6EQTzysVuOkeQvccZMIPrVF7bNB796lOg6nQsW3cq95Fdbax0pIWvr+2aOxuj2fw056nedjzMPcG7+UU55TDbtuRPdeKOjQNGFSisTBUGYaeg9dtQBOLa5yE6b4FuDSlgGvAE/oOAJoU1N6U78g20DQRKHu3OJAmAUU1CoVrTkZrhaF3oM2ph97PTvLMU7qIMX1/idkYBt/duN7vdvQudSltElz7fD4qKyvb4q2OSVtXrFulNtLK7ng0ob/lofwmJzknAbBFbyGYp6npb7FLbSZf5+9r7es54Kt9P2maTW4vl54DXWITNB+8YrFzTz3zatYzJWbAvu0KVAFLjCVs3hjG3pBN8QeDSd0WQ4qzhrXLITR/AMHSaLIWnEW6oRg73s+0y120hveeN9iwUtFvuENKBmzbqOjeO4Ff+H5BNdUkkgiqDq16gJEHQMXapcyaM4i6qhSMccm89fJY7HUe4uIUGpfu+ZtAdwfVNusktxWppLdMWwfXHTGhWVvdA5yxMQT/Jwu3X2DfhGUdLRyC8hJF01c80iWtzXE4qhee+imgi3m5dghFfImLy71R8KYF6x7tT0y9DxyTiW9P5LHMPXS76wkqFLjYzDXmApCls5jmTGOtXnucv+VXOrInqyuN7ToaTWOlm4Lpw6V4H+33P9YyaGwM4n2gCB1rErw/l2oLVC8/ybUOhDT4FcH7cyPzl5gKY1k91huR4FqbQLSB949F6IDCvjQJtT2EOzoac0YVMU/vZmjIj2/mTir6+EhZVofa2IgR1phrGwhfmgTRBw+2zQ+rsN6oIHxLGqrExu3hQ/fwfX3/l9fjeWI39pXJOONjjuq7t6WjPV+dccx1W5a5rl5+22q2cMdxjrxhK+xSu1AoSlVpi7Zv73q66czBdN4lbF6K33kTRTm1Dd1xAg8QF9iMo/qidC3KSEO78Sgq0ESh2IPiq/pLZE4SD5GJyzwompbWMoikfXv3/gzAj2NciOubhqfhLsCL4/0RnoargEYM+zlc8w4AdrjwUMjkTMulqdlaa6gDYtrzEtZBrPrLABM76gUsPQevVYXChzZHtuOOnBhOuJ7rjqbqXcIV9RR4tvOy/w2+xw3EEbffNjOsGSw3lnORfRHD3GG4Lnw53yQ53SXYqKguVwyf5GAYMG6qgzLghbLP+SjrU3LVNQwgEmB3C3Un+dMLWPVMPsWqmEBwJ/6S3lT+7Xy8g7zEV8SQkgkjx7hUlSumXuji9cHcmYpP3jTIzIn0lC/42ODz9xSTz9acNA0SSGCVWkUqqaT7bgWgpjLMo09No6LRQ9QZpfxpzBLMuWP49qA19M6pISnNxhN6HNdzLq7n/HY/7ofSPJVRHF5XTgtv8/PrUdhXpxzy5Y641wSi4Ef3Rrqpo45Qh1fOBpSzCNc6H6V3A5rxoTWAwkFzSyMsi3GpHbqRwILB/OknL5JZlMybV37Kr751H/cM28TP//AofZwYLnRv5TnrORrnFXP9ku+gTmu/pbikJ6t1mtK7D1xbuun6beqRPjDF+1gc63PYzfBEAtcEE+sHBfz8zh7U39WDv9TWkfHj7Wi/Ivi37vvGW7uDAtgXJuL29eP28kFJGOPOQqztQXyL69AhTeiuTMorDWLCUFESh6+4ls9rPZzkKGLeq0El1GGWhnB6+7FmVqHTPYRvSfuqxarawfPEbtSuEObcWszPqtGZXsLXpaB2hXFOj4M6F3NxLcaCWlS1jdp55Hvnifgc6qzrXHd1Pp+v1fXq9ngG/zj0Yy6yL6K327tT7E9zpvMevvDPiKRmJ2CyHY3GNELEm9dj6x9junMw3FUY7ltEltFSKJoaJAygeQdB5HwobDRNDW0ahdMssPbgmFfhBH4MRk9CTil19kc4qg+W73aw38ZnTcMENjowwzH4yDGo13D73rI0x1V8bisusDQDzJYdrzod2dPYgxTFQjeSsF6qFQMMjbf5NroG5SxAG4NQugywQdfS6J5BYclGeve/Hm0e+dyK/bVZz7UE1xE6zcPu38Tyl+S3mRVYRIwdy43hG4Gvbizd3e4UqSLSdToAOzYrZrxoERflEt4YojHaIitPkZkb+T7RsZrEhUPJ2mbTLbcbTUNbyjbG0vj6JNLCED11DaFzZuK9+07CZhp9exoMHu3SY1w1CWYss95RLJgXwp72Kdt2jqFb9xTOudolIwfqazXp2YrsdBvjuTK299vDc6OfI02n8SP3R5QXF/PJK0so392NXpOLWTh6F91LMpjQfzOZ9S5Tz/kCM3Aq2o5Cq4OvjdtR2jO47soVJ6XUCTOhWXt9VkdIjtwyqCyLzNBvWQf/zmbw1yh7OWutX/NWlOamBk2yjgTmNlCpwK/hsxEbmb5kAJuGbuKe/3mGnB0pdNuYzSWbs3jvl0/zZUwxvzV/TXxtHPd++15iG6LQlwahj+e4f1fJODk6zSceax5MH0uK97E45jIYZxL6bTbG6gasFQ3ENziAprZc4Zigaqp5/8ZllA4cw5U/sjF8Bu5lyRgG1N+4k/LFYQqMGPrVuhhVHjYVetn8dgyrt/vIDHqYULyTWMtm4NtVlHugtjDEQ6PyGXhlA9OyvaQUBLE3BLHWNcLUWOzzkyha3UDqmkYCjqa6t4+42mhIsvD+XyHG1iBBJxvroyrMT6px+wcI35KOMy4GtSWI989F6EwPbp8A9sWJYHbOa7iz9ThLed9fW/VcH+9nohcvfd2+Ld6fdqMdPPZjQAOuGgQqCb139u64qAKUclHOPwAXgx17f8lAE7M3UPawN1zFts7GtGegKN+7nYlC7Z3YrKn3WhMJ4n0odvFRuJZaNKfZMyhyNYvD5ZTE+Fmh+nKjU86moMFzYYM0pTnFcLnEE6aaEAsCcfgcheKr6SXKNcTz1a1khwt+Bal7/x/S8PuQiaPhDq8DGh63Tfool1M9mh8HNautV8l0+3C9MYzLPV81GJihf2OEX8XxfButemI4n2A1/BSTy/FaFZiNd2IHHgMj/fidqxNQm/Vcd4YJzY7rTURrjA2N6HgLnXH4imXS0O4MsEayVhfgPcjMPyPdkYx0v0qzyMjRDJ/okNVQj1VQRVlsgNSsSNfUTqeIFz7R6M25DNs6jejcr1J8ktI0aVkw/UqXssR+FNUook6PoarA4Fs/dFnkmccfjbeZWnYR82eMp0hVsmfKs5xyTSHXFn2XzNzI++T31+T3d1ArGlCfV5Ox3Uvvof2pe3McyzMUfXq/yZBhC0iKPYMseyQrH59AQvwASitDLFw7jD3lJ5P7qy9xfWcxzR1DZ3o8NqUlS4v4kXXlMddNOrqBzXqpHFXtEP5uyv4TL7WRYCO88ZTBJ28YDJ+ouelXX90PmldcXM9VGG4R9wQWMtujidZwWwPUAqss+GU0/LIOrrvnSWJ/+TxJ3sgsp8Xd9nD33//K2W9OoucrpzLnupmRKkS0wfrJJYx7Ixb1wwKcmYN42niaTWoTv3R+iZ+2n+xEKtst8/HHH9PQ0MDkyZO/luJ9sInHjqfWVObdgQFCf87lnliT9WvD/OtPUfQd0Jus917g44I++P0l/NzJomq2Iv5huPSGMNHlPpbsiWb9mQnsiYsjYUQUH33sp2+Cg7VLMzqpnigrTExAUR80MOIUZrGDqg3z1oRUxjs1RK0MoQvD1Cd5MYMmz6zMoG5yPNnZ6cRHh1nYP5H/qXJZOLeeRMtkuKVQ2xqh1sEdFIU9PQEqbZw/FmGNi0bVOZjv1eOubcQZE43O+3oq+fFwtOWlswXFUt731xbPY8Mw2m1oVku12zNamYStG1B6K7ZxNYpiPE5kHWpHm3sD1TBGswnKIungob1hcgxQDlRjuGU4vl9hhh4EbaCxqCbMHnqRz3IK6c9znEIS9QxgBaOctSzTayimkbN1GRofH7r9yArVU2lAzJZo+sx6gwtrghRnZzJ72mTmWz+nvFslGeW/YbSr+LXXwW9o/uNs4YHGnow167ncu5W/2uWUEmIwCfzTMxSfslin1rDZWo8RvJAfBDXLzLcpcvvjcQaywQyy3f8HSq2XCbv96Wk/1+xkuCj7Q3CL0aRjuHOBWpSzmETjQ2JTwyidgnI3ojtJcN1V7hEn1Gzhx7PQqsIw1pN7INog9KtuR9z+CvsKhrvDGeBGUrhVaZiY+WGCB1muyueHsy63IWhh5vlwe3oja84DTy1YyaL1GXTvUc6SkxZR+dHV5KR4yOsLbz5tsGm1goBL4H2LqvSxfLA1jvoaGDxWY08yKV/UC7u3ybnXOLxdvoGVv76E0pPiyZr29X3WA6Jwr0jBzPXR/7NreetNg5lJkH5/PhlDw3i/nMyT/0iEKC8V/7OUVP9ucp8dT4Mdw0L1MI5S5K6ZQpQRIL+fRqMpoIBMMo9L5bslJC285dp6eEdXHnN9JAf9nEYX70MloMA+Iw6dG6lUGxsacdM9EN/6iZRmv2vw5lMmtTUwxnvw72qEHscM/hnXuoCbG9cRrxvIcaLokVTB9CA844dMB57wwx4DQlFBdqpI2/slIdg4cSU7Fgzi7XPno4HxIZNr1e/JvGscwU934w9EGqoeNB/ExeUi9yKG6+Gt/m4Hksp2y8yYMYOysjImTZrUZine+2gHqAUV36LNW91TlmShgKiAxkOYqCSDhd1OYnujj5jzU4gzoGqFwqyGuTMtdvbLZuUOTc+4Aj78YTZXbVBMvT7Ekj0W4wbZbFmRQmlxPQO3WsQlatJuiafk01oqdkVz/jKbQJ5BzW6ICkFieQNVXxpkbyghfiM8lZ5Dbb5iWFwYXWnz9ClJFPSK5p7VNQz93XaiKkJU/CGXR4elc9YjW3CKwqwZkkzuhO4MuayeaNz9Ji7tbNrqXtlWwzdc18WyWl8l7egG1rbSFplkHbr01UG09/445lcVXY/9IIpqXPJYv2M8PXM341NrABuNgUKjqCeS5m3hqr645jiUuwrb9/9YpQbS3SjC77yCopwZXMgf1f8wXq0mDZMZOo867TCYtVxr7mS1uhR0PQXGNN50x1JENNXBk4ipHk7uz39J6tyljI/yU56WwqazJrCGEFqFqDIV61y4JVzEydY6/uJuZYtOpSTwXeYYe9jZ8BQhElkbew6fEsX5dW8wJ/oeHLOQRLeWNYQo972AdtOxw2PYpE7G451BFBVMJ50yawY/Mt5njVrD9c71vBazhR839mCcqqMBRdgczodWKecFS8GNw/F8F22Mb7dzdqI4odLCj2dFXidb6J4+3OxDPyzLKSeogmTqTGKI2a932vykioQZIRptFw4yN0CYMBt8m5ifVMHO2C+4VV1Jqk6lqlwR0mEaz5zNnD0hPn8T+nothg/XrFpkkNZN0zO7Hp9bTSjKIf3aaFauU9QNg6hF40h8cixlYw3O/L5L6YrurKtLJbPwEOtlWYpF3ij+895SGtd2I8PMY/J3SnnQO4vQ5iwCn6dRpAyGToCyMVU4PpcfjIE4633C9TvY1nANL/81BqXgpw/YrI1ZxrPGs4zUI7nKvaqVZ+DYSHDdcq1Z+uNguvSY62P5LL9B8KeZqOqvZhg3vqjD96uduHk+gg/ltfqz+w5zGTxWMXm6y4Qz9i595IaI9W9HOZvA6oeyl6J0BUb4OWyrilNDmqEfDOHa0gze+t471CvNFguKTDA01CnNJW9N4G833MV///dJXrv1bZb85ikwIkl0FSZMsYeQ1iuPWX/ZypSzx2MAD9gPsF1tZ4ge0urvdTCyNE/LNFXC23xtacAXvgNTL6HR8zCuMfiI2zc1qNVrmK9NRimH+BaewiWzTaorFaNPsVn1ykauXvgo7sYUJt5yEr/deAqnxIapvF/TMBtGFH/IhC2fct+1dzA0ehvu29C40MfL6dnsjgW7NMSU4nX4dZiVUWmc61YRH6P44qocHklNwXpWwfYw5VkWf7lpEBOrS7j6jSKqDYNeNRX0LncxR3voMb8c5zoTY2EFlw8I8sWQLdTOrmNrTSrdww6frvLyZE+LV2/Mo+fcRqoejyXPo3Fu9NF3isOP/hogMaj5812RzJDKPR6qKyAusTVnpe20VY9zW5A5FvbXVcZcH40O3R/XQatMwmo6tQ0xaF2MSxYKE3AJ4eDg4sdlO4N50HiAuzzllAUL+LzxXd62UjiPHpyNSyPJbN4wCCuqlmdzJzPYWEqe+QemfBRPZfZQyvpdxyP/71bqShupv/8RJgX8jNI2r1SXc8eNtxC/vgKnMYhOS8L9yXfRhoMZHMd2fFgxH1BmRFHifZWXQuegw+fgM5aSpzQVgCYapWNwnb6UmDt43LEIBc+ir28mjb43SEAT5aZTq8Jk+z5ko44lTseRqlL51PiUmcZMqlQVvXQvFhuL2WGksDRwMT3CPdhq1fKubwdP+qrZrnxcVZ5JqucRNhrVZBk/IUCgY85dF3RCpIXDcSq01Q7mqnrcOBNjR4jwt1IgysDY0IjaGsQ5NRa8kYeBi8u/vP+ikUbuCN1BMvuvi+uMiaW2vIz6Xge/WS5ZM4t3V29j6acjic0fQtlPy0jVqfDZGNKiSrkm/SwqkjVbpkUzKdUhw6eoKtdMv8LBnxZgZXIalcVRTJroknqDYourGNPXpedEg10jYKWjmDo4h4F3gk7fzW/M35Cv8znVmULFwmxS11eTlat5/30fW/ZE4U8q5oqpOQwbEmCZzoLozyhIT2Pqz0dw2bX5bFo/Hl0HGXn3U7arlB0FQ+kxPoZ+44L4TQ/+KEjRKcQRR7Y+yDIp7aSpweV4VtI708OrNY7HbOEn4pjrw32OMy1h/+1SLPAqdO+vUkPL368j+r6dVF2aTtTVSYetaFeWRWYOTdw7t1puT/j53/af/dXUixje5y/4Q/dhmw/z3iNnMvav55EyYRGfPn0Pv2iAqB/+lF+YmtkjN6LHrkMDA8KwzBsZKZa9uRshy8XYlIsLeA1Nolac7pzOZHcQUSqPL4wvCAf0vomlJulJB1t9pM10dM91Vwns27pRbH+R8c8tPdFNZf411+Jp18P5hs0PzK+eeZ4nX0cVlqJTE7FXbuOZ7Dtx+/rZdqZi7YMmqWHNgvUG81/L4bzkgZxX9gmBp8ox/aeyodhid5GBE4TTclaRUlHLz3J3UHsrvHVvEk5sKkPGOsQOcyj4rJHBL2zBrN9B5qk7KTvpDmJP9lK/TuHJ0Zx8u03122Hq793O5EEBnnogh43hJGaODzCoqpb8TKjeEuSyCpteS2vxNIZJ3VnPj5ZtxVAe5t08GCvLJXtwNJMqHIr6e9D9LPrOchk+wWXASIfNRQ41c6qpToihZCeUlxq8+59UlmR6ufW3oSPO9t8STc+3poaopp7flly7bZnO3VY9112lzLWHrrIU19HoyPNbZ32fArsvg9z/YVjPetYZE6hWkxjq+TW+8M/Zptcxw/wlY80avh8+Exsfp7kbCLkJLFa9KVbb+dg7jKeCKxi58y1+dvcjXGB8zN9f+Q4bArOIWr6YC+6IIqn8c/T3dsCby1CWwdadG5mT14c9K7dy582/Yld6PPV9omnM9fDq5Wfw2elTKHJcyj2bccJTsVUaJZ7/4tY9BdgoonB1Npvr/pdk3ysEfM8TFZ5KHgYZoZtZpkwKPO+yzljKUJL4jnsJj3oeRasqst3xPMZjrDXWku/mM0lP4iXzJZRWeLWXy93LOds9m3F6HMpU3BGXj0YzXo+g1O5HVWUjnpiXuMf7Mv2NAD9xftJh56+rOSHSwuH4VOSt9yrx/GcPancYt7cfneLBHR2N9UIZakcIneHBHRoV+XwUuW4uFaqCKKK+9l4630fVdB92XWRSIReXd6x38Gs/pzecxpDHUjEaQ0RlZTJodDf6upHa9I3XJVK+O4nROQ5KwfwpDl8s8HBJnuY7dznMU/PYosPU+05hwwyTql2ai3/qkGtAVZKCqzVeHVlQQCnI6g4fLQuzo7w7C09/kUVbS4h+8HYSVmq+O3YtMXHjGJaUx01/qCXH0kCAW9xbeDf9c4b84Q9Umw8QcuNJj3uExnqL1546i5VLplAXGkow/nnib5jBye7JVOlh5JLLr51ft+k5OVrSc91ybd1I1t4P9s7WSg+g83w0vNkn8p9GF+89uzC/dGgsdtj8SgPVH5YxLVAGf8iFHvsPnWiog7uu8ICGv70eJjr24J/hkk04HA3aIVzj4Zk/jWNYzSqeWj+ByqteYvF3HmT0kA3UruhLUVI1gbDJdWGLKB3kC8PEtA2e+va7jNmRzNqpSzEUJDpQZWjet5YSrfN5h1vZam7lgtQL2GptZawey0h9fJfnkJ6sljmejdtBz9+AalBJLdq+qQwOUy4LlctwHEq0Il1p0Brr7c/AdtAeD1urMpi3yqBokYfyIFhbFTGJLmNPdZhdnMhjP7iOmoV5RA/szaqwYkqNTWK5In+AS4+sayj4pIxHP+pN1Peg/x0OusjgiltD+AOwMtXLrTPGcHv9JySv2MOz1YokFc+uQoOetsv4G8M89r7BuJDDyQ319EgJUTPZi0rSRNshdtXDC9elsaVHFM//vw3UV/lJeDAPz+IGrAY/vbZXYTxdQ0WfOP7xYDwN+HhntZeVpkHiGJeHlnmpv28rtxW9AqeN4sk/TSEQm8TWNTGUFZo0NkRm/z8WTeuSN42tbzruTUsuNT3rmg8PONjzr7ONlW7L8n4iLKXXVhOadZkx17omMt5ZJR/89WNUoyGEYhfpvMD5/Iw/4xLDn7iP+fTkB67iSpWOl+UElM0f9BS+9cSrDKkp5dOf+Xk3Jome1R7uinF5OxxDfvVqbvn1i/gLyqi7sIrf/vuXlJPLXG8cFSkGyZUNVL73Pm+dMYkaM4ZfZnWnIWxx8fZNNFg+/nPRxbx4yUjChgLisbRLIoo0KikO3I22B+A2/BTwY1BJauAXBN1cqp1hZBplmOHxlNIISnGBbxs3W2uZbq7GNrbj6gR2qp2ECeNohzVqDWHCuNpls7GZKl2F0gpHOaxSq3hWP8tfnb8yX83nPvM+ggRJJJF/2f8iXB1ma8VWtvWfToH1Wy5y+rfpeTlana1udyRtFlx3ZFo4HJ+KtTs0Cp3lwY0x0KNicAdEKr/2uQkYm4K4fb6qDCsU3951JdS5B10L88B9rKaa+eZ8Kqkkz5dH4hleCsM7OfW8JMbpcft+p1sPl9VfeFjzhWbQGJfli0wWPmZiDnO5aVgJLy6oYN3kQk4eOpyBZyQwcbgmQUGC0jxrGyxyFH0tTZ6xN4VUw5yHcogOXU3v/Chiuu2k33hF8aAlPDJsPsWv9cUmlS+DcXQzNYaKNASMN//Ba26QsJ3DoqVBcmO7sWt7Hptfn0T3EDhne9meX8MuinjOfI717nqqqWaYHsbp+vQ2PS9Ho/ksueLwuvJs4U0682zhao+NuaqBRGDnb7vz3htxnD5/K/VpYaK3BtEHBNeWB6JjNFpH/n3Q97Q/JRC+AzOqBF06iC8fnEVp3XhumV7I33/1C84xHOY+fg3m/KEkNfp45JYf0WdnKv7bn+XpaE3//3uQbntieTr2czJsixFvTubhs68iRSuidQwBlcHNzs28Y7zDbr2bPVF7eNl8mU/1p7xsv3xMx6GlOrrnuqs4rsOylAUcIrDWGtOdjWv03bdKhFIKV2t2oLjMsJnnWvzRNvmFGWSsE8I++2TctCTKhvanorCM09Z6qHbDFNiKObs9NPohy9T87rwg/37Cx64bp1KyzKCsTvH2di9P/6yBOe+bfPx6IvM/TGFrvKImEbZ9ZJBaDuNOM+g33OXZT72s9GXz1IW3c3nqW/RLi8ed4vKyYXLfbVvY+nMPW3QeT3fP5zdPhkmPc1mXC/nvu0z6oIiqBMX8rHiyPqyhpl5RYvtYuS6aS348lI3rDBZeX8npZWUMWVFK1A0VLBmTzYwFUXh8mrkeky9fqMNDFicHUukzLom5n0Mg1qFH/zri4nxHNennoYJpANM0vzZpXdN2TT3BLQ22j1VnC9JPFE3lujXHpbM1OCulsIxSTHszrjkKrb5a7tJyXkMRJGxeBiphv9+zsSlTZaTpNNSBpUfb+Owfg3YIeh4A5WWFsYJZxizGOxP4MDyOT7XJaBxGmVH8Ri2lsGo7qckQpSzWaggYPYlyahnNH/ivGstlz61CmyUsii3jwU+i6Ld+NtsGjuDqjFoKT00hf/YOwobJLieN7H8XEVNbxGN33cgt793AxPXzeOPiH3H+i1+wOyWRv3+nmC09evLytGi+GHIOBWlnoc0dgAHawsXA9cymKuoxNPWoxlvROhODcqJiz6Xe2sBoZwyrjEfpRgZV6r+YTi/6GOUsYxl+w8+ljGKmLiNMmI/Vx1SpKvzaT5AgFzoX8on5CZvZTA01DNFDGOAOYL6aT72qB2CT2kStquUs5ywu0ZeQTDK73F0opThZn8wn4U+O85Vx4jkhxlxDG95EGl1wNESbuP0DNP67B6o0HJkhvGls9/Bo3OHR+/+e1nj/UgxBTehnmej0w88onkAC54bP5QnPEzzufZxzzz6Xz611THCSwIbdWrHKNfCshQUfmaxbbqCMMOf3s9HDDcYNtNn6n3q8q8bToyzMpVPi6Hmti6FgO9uZXbiBNdsnsO3DOBLywLqm6TjBtCtclpX4KUu/klEhzdTva/61QrGs5w6u7VHGapXMDk9kzkQ/8IzxDCvUCq5Rt1I4y+GNx31k5v+U6OhqCtd7OCt/NQOnJRGOv5HK4Gt8ZG7iTeszNqvN1Ok6Tnc6Prg+3k6EAP54pIW3Z6t5e1YkjuVzdLaX4K+7YcZ7yO4bzbUDYP2nORiD69Gnfn3hao8X/vJqJNPlUB06RvhTDL0VrxXGSFjMiFvXEP/G9xi9I4pNJalMiK4ktcTk9Pfu5i933EpUZQxpm7N5deEwlg3ZiRP2scc0eam6P5eM+oDZvQrx2QZn6+8zwT2Lge5Assmmr9OXm+tv5v1d7xM/KJ5J7iSCBCmiiDzyAGikkSBB4mnZ5FdHPF5S2W4Rr9dLMBhs98813Q/x2XejVXcavK8DkTJYjMHfncicA9OxUYAfsD6YS/DZd1kwcghPnHUmxZl5ZD4G5fHQe90W/hB+lO1p08npNYqH7/Whl8KkXi5vPmPSq7CeX457gcUvTePJh9Oxw+DxwSCvy7AMh163u9gFil6DXUp2KoJrFGY5RPfKo2pEH86ZFOTijxIo3wZVW8MkZzXgvS5MygYvRrJm3gcmLz7qZVM3RXV+JjVnQcrfGjHnlRETW00gFI3XUwVEkVpRxwwnjUU94nlg0BaoDuPvZpKaqbnw+jC9nHU0lP+XLd0m47/7ahZtMQlEafYU+bjwxu0MHBzNsjkmn75pcfn3G1k2z8L0GoydYjPnfYtxp4fplrf/euRNx7Z5MH2oXt4Dh8gcKth2HGffPbM15UyC6+OjLcp1Z0wL91nbMPU2tE7aL7jWKgt0JUrXQ/VutCcHovygg2ziEb4wihiuvsVAdyDoIIZejlZ5aGJRunTvuwQxnXlkhu9nZVQVX3o+Ic/+DXuc8byjdvFJ4G66KZsdacWsidvJWPsH3BG+lt1Gd7qrqSz07QDPAv7xJwenuJJv/T2b7jvKqPP56TH/S5LjAtjFG3n2omgSdsdRt6cPA+tLWD6sLzszeuAqkzUZ/bEaoSgtnucuTaeg51LABncIWzNcAuZS4oxSSsJTAIdYaylVgZ+BDuHXfmKNf1FlZZJkbKPO3EBQNdJg1PEn52fcb96Paa3nAsNDApl8YnzCEpYw2Z3MYD2YZJLx4MGv/Sit2KP2EFRBRulR9HZ7c7F7MZfry9FoZqlZ9NaR9auvcK+gv+7PID1ov8mHO1t57Er1bBlz3Zyj8f2mEBpdgv+XDXEmmAqd2YIZP5XCGRhAlYTRsQefWObAi6K3M4ZJxiZiiWa8M54sN4tsnc1OW/HPv3upNhTn3xCizxUOm94wePnfXi6+IURjscGrBR4mXpbAsAleJpyZTI+9PdMVu+HhT3aycEYiwfoQlqHwlmnC18ByR9Hf0Fge2PkpZHvh0xkm61I1C3f1pmjQJMp/spDL7F74VGQdPQC9d7xdrHYY2f3PbMkbSVb/LMoLK/AP9eKZ4OeLvGiqQqs4zZnJFUYKBdZQcnUu33e+//XDjEM55aSQ8vVWyDYm47harq0r6e3dat50nsOE+bP3z+S6uVxld8xEeofiDovCsCIzIvcdquk71AQOke/NoYPqfe9njcIM2yjDZbt3NHXLanjBmsevK/L51fde58LcLxiQupqS9HLemz6fx66fwb+/fyevbJ3Axjcm47/9DyQ8+EOecbpjr5mMXmEwtWgsP3z8dVLizvza58XYMfzI/jX/FzL5TdTFFJjzeSL8BKfr07nKuoo9ag/Ph5+nG0deUeFIOqqy3Zkqoy1xPIdlBTXM1SYjlENCs1Nha9CqN16SsdUp+36ulCLFtTlP2cQpzVWGzQ2ECWzdifn+HEqTEpkxeTwBBcYW2BKnKPy2YvRHG8hbu5NR/ZfQEDOKBXcpKt9X9B3hMGClQSLL6L9+Jk+uyyQ2P5Uxa5cQfeEQ3IQRFPzKYF6jRUqm5oOX/dTXwe5dBjE21H6hqM7z88srYmjcqIhP0bxp+ug5tpLfXuvS37LxeKFbnqZ6FJRfCu/WpNBTleCMaOCzG3LY81kjPVZbRPV30asbsH9exKTtDVzhFGKOjGL3E71Y9JgfFHh9kGwavFR8MrMLxlL/Wx9J6RqlwBtlYpjgD8Cm1QbrFjmUrH2O7Koa3h54G64Dc2YYeHyKjBxnv6XUmoLqo3FgL7XrutTW1lJWVkZ5eTmVlZWkpKTsSyc/1p7ttiqnruvKMJBm2mq28M6UFq6Uoi7YH9scjKt6ARAihBcvjnl6ZOhI1SNYj67A8Y8gfPmFqKQq0tROelBGnBEHQBWL8DqvEasmYJuX4DAQTYgvjDUkO08QzRqG2AEmhgvJ0HdSHriQ963PqDJWUKO8nPaZB395Hi9dPJl+hfMpyn+L6YFzWGl+SAkr+OeUSnosf4B/v34RNz79LHMmpOOvTyazpJLi1EROW/A6v/3h9ZhOFPV+i3M/WMTv7v0HSwf3YWeOn1/dcyVOQwX/uuNjtF4F+KHhPpTuxunsxl/6Ku8lwzBvPYb/YRYYq/BqP8NrhxMXimNP0s8Zq8cyW+VToSs4TZ9GmSpji7EFGxsvXi51LyVRJ7JRbcTC4lX7VRSKKqqoVbXU6Tou8FzAW+ZbDHWHEqNiuFxfjkGkjE3RU/adFw8eRulR+50rKY+tc0KNuW79m4D2KFRYcbiYT5XZGItqcSbGRgLwveyrI61weu/8L0qB9XIZqiBE+Ja0va9FKm5btOJj18+g4HcYb0Yebvk6H4BPak22rzNIUppQSDFrnoWnHCaMt0nv5lK0DQq3mfQ6OYmLfuCQZmgaNBRrWP+ZwZ4Xx9A9ZTdxw6JIPa2Ba7It5tsGi1zFJkOzdpuiqK6K5LJqvDqXsmgIdjcwRm3iNcp52SjnRj2V8vBAktfUc+q885h85sUseD+WAf0DXPm9V/l41i1cevUjeK+ziEr9If92TKrdPowwTibR6sOtzlD+a/yXtWotmTpzv+P3hvEGn6nP+Lb77a8V6LYm4zZbrqunhTd93lpjLS9ZL6GV5kr7yv0acBwcClQB+Tr/mBt2OiLga2yAresUfXsUYBVu4ZlBRewwdnBNOIXutoWaNZzsp66h8fFb8X18M7NmX0DVPb+h74YUxm0ayJPfv4PhCwaQWprETc/dS8qV/yGhNsCAv93IsuoMEggx1VfO9VWnombns+IvKxnpvQ/jO9/jreRUplkur+gqnsi/g1BlX3bGXIyyk2gwXP4VimOqBSYmCrXv4d1a0jDWMsdzWNZLrsUjjpezDJtfWpFnfJ2Gb9sB6vQAril5jmse+g/mmYtxThkdCQa15mYrzGrXYCuKfKWxPl2E+cVq0s+ezLhp4xkTDjJrtocPqi0SkjRL/afxXEYiUyb3pOGHH3PTjMU8mH4bzw9JpKLIoMAdzudjbuSND04mh+UMTpnHXxaeSm2hl3pHUZsOfYsdvA2KQLQm8zIXNQEGeB12z4uioVqRn+ziaMgfFsOlVyTz8PVexp7mkN3D5bN3LKKrNMYyA/9quHH9q/xywLkEo5OY/cPBzPynS8Pj5YyLXsmrG4Zzii4kNVxL1Xsuf9jjY/xlLlvWGzz7d4vywTksjulNQamf8y4I02+4ZuAom8JdRdTVmoTDLjVVmsoSlyW13ZmgFjD2lAbGT9PEJSqGT3Lx+fYu49fKZ1dDQ8O+YLq8vBzXdUlMTCQlJYU+ffoQHR3d6jTyzthzfSLcN9qi06qj08JXGauI0lH0dL6ahNNxPaywIMRaFpgLmGnOZLQzmrvDd2MpC+3phy5bi7V0Pqq0HvfCTNIGeknQN1FSmsOjO75k1rh/cWq1xbCSfEb124wVXkR1bYh/qELKs77kO2Ef24weDFcL+MJYz2zPkzSa5SS5iViOyT0/i+ORy84mamc6Gf94i17Ja1h09wTWOz/G8Z4LbjpRtdXc9cqT7E72cfP7L/O/d5/FPH0+3bevJsndxk1Pv8nCESPoXbCEX/32NDwuJMX8H1UxZzDuxpNYbb3H+N2K0+aMpSSxjE+H3EK1ty9XlpyPXjySM2I3cMFZ3+UT16Keerzaw3W7ryO+MZ6zY/oBFs9aQ1in1nGTcxN/Mv9Euk4lQcdziXsJJ+mTyHNzeMh8mMn6FGKI4T7zPjarzfzEvoOBdinJnhgqdD0BAozT447q2SyZJK3TpmnhHXky2uQmYihCv+4WmRjVc+jvYb1TiflOBapRY1+4/1S/tg0fvWphGHDaRTa+ebVQ56JKbWjWoR0AvEC0+vo+j493SP6ZJlFpjBhIbXRRGYoB33NISYQbfmHz3vMWk/u6pBngavjQVmzUirETNOc2ehk5OZO/736OHVkb8GbdRH83AxeD3S6sWR1me/12ghNf5U+X3smsQCymSsTrz2W7jmWhsZA3nEQq7UFc8bcKHp4dj/m+nzqfwe7tp5Gc3psZC3uQOuoKvizdwvLXkxl4E/TL9LN1w/VEj9EUqnWsUWsoU2VMcb5qIXvXeJfnjeeJ03HtMq1/e6aFd3Vt3UjWESlpWmsGugO5JXwL3dxuXwug/+D9A694XuEnwZ+0qle7vb/XP35lMPdDuOo7jxJ70dMMrqzE79Uk2g7K1PDiWRif5xA1dyiNp36BddELZA5YjPvg+VjvTmTcrOGAIq8gnfElUaTe9nu+My+OmBoPfyOOM6K3Eu6zGd+33uKKe69lyp+34Qmv5vNlip8+/gs+sRSr167n7cs8VCauZ8TKO/le/Wv8p/J/WUE29ZbLc/ZzhAgRTfQRv09LdGTDWFcqz36/v23TwrUGxwHLYohyyVYuo42vKsdhoAEo0RVc4D8Z74V1uE/X4pwyet9zuEgr7nIiY4vftBrgoql86fFz/+SJpDxlsXxmFT+cOItT7pxEUnY8i/qZzL9hFM9Mgqtum0P/2u2MH7WRwVNHsmYB1NV4aTx5IglfGuQOHsLcaf9LTG0Og963KToLViWZnJkUpvc2TeFWgyc/87LxTNi0woO7bRTmZQY/SAzx+u/81PdMo0GH0C7UVcO8Dyy2rDUIJUN3n8vong5Zw0dz+iNlrC1NpSHfYt4XXqzVdbhRQXak+1k/OoW0jWUsCufT4LWIig6xu1BRsgaM+Xv4bo7mgdxedMu16Rso4N+/zQdvMts3edh1oWbNO5Wk1lWSP6CWd1PuYEK8j7RMh7MuU7SmWhYKhaioqNgXUDc2NhIfH09SUhK5ubnExcUdskwdKY38UMF2W/Zcd6Vyd7z5/f5WN5p1ZFp4GWV8YH1Aud7Ft22L/k463pCJFVPKi4aP2Pk7WFVUzrrp66iPrefcimn4Vm0nOb2OJaV9yDM+pJuxCqUD7FpisXqlwcqlPpb0KqZnnOYS/yK0ey/+UAHUxLHxiV8SnVvJqDOXcXJcIxPCiho87LaSOdXOJBiKpy6cQbh8D7NGGJRkrObmJ5/m2mffwYq2+EtOgG2nRONNGcyogs28fMXPSKhqoD4QoixTM/TqhUzss5E+K97lW88EaTBX8q1XH+P5b7vED9/Jt/K/x9aYHQzVg8hzG7nQ/iG/1D/lw/x3eC75JdJDAXJrSyiOL+KW/tejkzygw5wfzmSzkcPn5mrCVgkD0VgN96DNQSzxbGej2sxitZid7KCno3ixphsx1hZcTw1lzr9pVF9QqvoCkKST2MY2Am4xgfDbvOiewWL/aC5yL9ov3bslJLhunROq5/po0l88D5VgbA4S/GUWJDY7DNaRLyZnfAzUOjijvl6J1C4EG776d+iuTFS5jc7zonZ+9d6ZSnO5stmKQa2GmGYf21tp8vId/u14sMOQ4NF8aRl8GDDJRTNwlKbfMIfCAoXjwMeu4vk3TBpfV0y62+bca1x2vlxH+r8GsX54Ds6fXT58dScbzHV897xBLK/PomR9T8L/73v4/htFygwIV0Rz5eXfpd6o5496CRvDQ0kJQ8ql8djrveyptohNq2fMtX8mHFVCbdoYZqQlsGlxEmXl1VjbHOwPNvDxvDwuuTGAx9ufwLv/x/RbbOgZ+V6b1CZeUi8RpaO4yb2JgXpgi8/XsZIbRMsdj57rjhhzbWLyvfD3DrpNsk7GwSFRH/tCs8f7enJdKNigyOmp8eyduuG5y69jyu2f8W4gxNzUCu6sg8mOg0eDq6C01w48lStIfP4sPHffxttBL4llCRBdz5xR64gtSSJ7Ryrj5w6i9223MfPJ/2Ngty1YG7rzy/TPmTl9IS99dwU3v/grPv5dEu+8eh5jvtSsSo2hsXEl70T/hfjYW3GNRHbmFOFDU+p/iAxPDN9xryRanUIkuezwc00cjY4uu13lvuHxeNq03Pp+cj/m/C9peOr/MbR3Ls+rBtSuUnRGCpgmCQr+o+oI/uXPxH27HpXnJ3TH1cBXZTABTb5ySURHKhmJcXz4rfPZ7loQq5le8BrJW2agvTWEB15BvykOfw57WF9nsLvHj+ievZmPosfy5bMG9/+7gZfXeVg6zyQcgkQDFv+sB6NPcfju70I0aNgQNih50+Dvj3gpKzbwJ7oM/6SW9S97CTkWNRcranwGWd1devR3GTjK5c4/BSlYbzB4rINpWjg91/NifhY9kmJZ++VQVjtewqth0Tbolmdj1DvkppgMvR56D4vn3gt6k+ts5Pt3enn0L/GYlia/h01aQRBrWCxjs8OMqvyIiv+uo7rhSoxeiWi3gcJdW/DEJJAQW86o6SH6nWaS379ZQ1LYBkNBC9YtdxyHyspKysvLKSsro6amhpiYGJKSkujbty+JiYn7luc6kgMD56agLOxqdqJIcWxijK8H251xtvATQVvNFt5RwXUiiQxyBjHD3MnbvgaiXu2G+/YczFN9nF+Ui/felZTYI0my8xl1kaak+FmWxa8lad04NiTGcfH0IrKnVuMNR7H5/W9RVDSa7HybXP8wzl4dT0Z2Hbp4CU52AzomhhFX/i+/f/h6/P/Mo+a8DAqGX8rQwaWYtdOZnP8aDdV+ohq3kVhTy56FaejqAkoGGnjcMBg+bvz8C1KrG6keWUPIqiY6J4fdMet59JYg5Ykuhcm5/H79JfQ47WQqFzzFI9PW8caEErqtGc2Pl99L336xFL44gl3xq+kx+QWU1ZdtySfxRtpH7FY1fKfxRvpW9qJ/wmB0XDUoG+UUYdgzmK5iSTRTmWrOJD1+N8qNR3umcodzKevVek7SJ7FerycqXE0sdWhdBzQy3M0gPjSRDM9FgOaG8ChsdSqWykZblfQx8ujtDj+m89fRz9+D6Wz7czjf2NnCVUEIah1UjYNOPMhhCLqY82txBwbQqftXGN0+/v1mCm/O44UzL4tMQmR5IJTlpTjLRxZftQoDhDR8oE3WuQYTTcVEtf/ateu0QRGKgWGHbbUeGrUiyoZUNDu3KD55w2D1EoPzv+2yZQoU7YCMoGb+OwaBBpdBn5ZwSbWPcT0GEVuZyAdvF7BT+Yg9fT6J/3MJA50ojB7RPBFy2fWiQYW7m/+e/BApC68nevmpJORpnM8UO8fGsLXBpG43nDY6wBu9q1n7ziTcV216R3fnym+VkTXtD9jxfSgONDKndDo9+o7jrTcaCRak0LhZQ8/Id/5cfU6dqmOaO43RenSLz1VrSGt4y7X13AkdNeb6cG4K38R3wt/Bx8Fn9O9orgt/vNNkzvsG517j8v3/idwXygLb+N3fzuUtPKz5xXOsL0/h3W7beGFDGhXbM9l1w5v0ztyD+7+3sD2jnNPm3s5/vncXE4KKl678iKz3pnBSXRzDtyXj/XgyV1x2D57SRNCK9N0JjF/Yj4duf4NbFz7AWc+WcN6zD7Mj5ySClgdLPY7teZedOXczYd4/yEp5GR3axiT7Xq7wLuFMNeG4HIvO+HDvjNp8IsJdeyJ/19ShAevNT/De+xj2ZWcS+vF1AKSUVxB4czXMGUbD839Hp+UCoHWkzAcU3B8MsnmNQVGaYsVSkwunhhna6NLogbXZJzEuvYKoU0ZDWRWzqpIpnG0QyIDd27Oo6pvBjqtNGvZoPqgxee6XXjwVmvwkTagBdg6HCruSQX8vYZPqwxtPeggBVbsVvfq5fOumOiblbeWzV75gcWIew4Y0cK73cT6/5U+sXdGdh37rZd0yg8ZGRUKypqLIZcKLS7l6+nyMvhfx0geJlBYqxk61GTbe4bSpd1BbWUMdf6R7j3lsXN2Nhj0BtoUT6B1aS99ho4lJcAlEOTz7UV9uvL2e6/IbsJankbv8M26cXELGxck01MUy94NB1AwKUZ8Tx9++zKJsZhWX37aNuNgEClcmMH3hv4hNtAjff9fXAmytNdXV1fvSvCsrK/F4PCQnJ9O9e3eSkpL2pZS3+jrYW/Z2KoM5rkEfXMaqyCRrjuNQVVW1r3e8eU938989GpIWvj+v14tt27iui9mChpaD6cgx1wYGpzunE0ccMduqSX9zKRVfupT3GMIgu5HwnirODa9n4IZEYsJzKO+mWRGOgW4mN+4O0n+oj2R/PDo6llPOa2Ba1Kf49GNAmI0lhVQ/F0tUpWJ3XoiYhSYxSVUEctZRV5dMvYol3lqP3mCQGFNMZq3NzmAKtuvi8RtklIcYV9Cft/96M8/tjsHXmM+wf36H3NJNPFH+LKNjs9j+4DM892wtC0bey/bML6gudrkj+fv8O+X/GPPXvzPCeI9+r4bY+NAoVmRHM3gKNNQDTg3a3gaesWS5DZxpG2So8xlrXgYpXsz6H2LYr6PNITieb+OqHPrpvvQPamzzM7TrQVtn43ouIy/4EnnualzfKH7kfgszVAw04lrfBiMV7bmMfLcQTQzo7ZihhzC1xgk8guu5cP8T4qzBcDbiek4HdeR1AOX52zrf2AnNQr/IQlU76JyDT1Zmzq7B8+hunIkxhG/POKp98Te7bpdqg4WuyWTDofnqfau0wZfaIMnR9N1SBz19+/WaNwDZSjMyVjP5d42s1CbDY1xCtfDQby3KShQpmZCSoTnd0gRvgIpB8OEjJitXK065LYOcQSGctAQ8Pjjl+8W84nmNmvhMondonCoDpwg8Blz2Q4d/Vi9lc7dNVM11iC9STPBqGjV4vVBTC24WpN4CI81buLbiA9yyLyje0Z/hnkTsgObjN/vSd6jLbfcaPG09zYwbP2HQSdMZO+zyfd9pujuddNKZ5E467hOZNZHW8Jbz+XzU1NS02fsppViSsoQ3fW/yw9APydN5bfbeh/q8ltwD2iKwbm2jQVkJzHjJZPxUl/z+X73X9k2KFQsNKvYoUjN1ZPZUZxszzQGoumiufWkKl34ynJvv+oSfnL6D5NxdhGeOw/1iEKFr3mbBF4N5b/BWdEw9L/38aR4JeZjXu5hPfvtd0ncl8x01hO06nnOWJVL88/u4++FzSC6L5ZPJK1g6YAshnxdD+/E7H9J7RwZr8k7n1odtHv7eZ0SrXjQENcbivsQNiqGXL8yshhwedxWP+m1S27hIy8O9Zfx+P6FQqM2OV+Ojv0HtqUB3zwJAB/yg9/69l05LZtstd7JyqZedj/dkyXqT3iM2MeV3z1N06wVsGJrBuucKGDf3URbmTSZNfcJbK4dzwVMfs8wcz/rBN7Hkgl6c9NAfqH9vJZ9kP0JcdTIpaS61wMhhDrvHKkwF3VZool1N3ykOt1wTorZO8UzfBsrX1FLxqzfZPPhn2BYUexXB6dCtMUjKI48yveIGGqfmkvNGNRNmzmWedxh/+20WHq+F6dH4A5CV6zLhTAcWrubUqveoXZJIyfVX0SMljB2Gs79ls3OLxrJsMrJDzF9Qxvx3tnHOZU8x7ZrfktVYTHjIIM7rVc+OzSaFW01+/o8Gls/18cxfLQxjNN/73TA+e8ZizFqXVYsVb/3Hwuv3kZMfQ0yUhiSX9DSH918wWPqJD00GU/OWs3vjJhJTU/B6vVRWVhKcswTv7C/YefpoonvmkZaWRr9+/YiKijqu5SRVaXriktxYx/ay3ZSVlVFRUYHH4yEpKYn+/fsTExODbdv70sib/4GWBbvSEL6/pkaSUChEIHBsQ+g6esy1QjHOGQeBKjwDCqkbkIpz2mAcDb5LljGuOIms2PUUuNXUGWMxo29lhdufRy5q4HfLA8wuHEzmxBFMiP4H6D0oKjD0RjLSQkRfWoOnxMT7Vio1C+MJdK+lbtIK5t54Dmde+jqx67dh3ZEI42ajvr+HmM3RrM+dz6YP19NX/x9mXSO9tpbxg/N8JM8fxh/Kfdgb+5Gx53wGjclCa0XV5gTc9cPxZxTh+krxxFcwR89jaOVERpZdRNzAENuvtqlONigvUSgqILSIqkqL5bOG0qf/fC5O/wKlZ+IaK9BWDob9MRBGOVuwnLuBaKAS8BB0kqgNDSMxbgJG6DGU/TFKF6ODfTHtZ0BvAeIwQwpXn4/S21HOBlxtoNylKHsHGFEoZwVKF4BuQLlr0aoPZvBXoGLQRiLamnzEcyfP39b55i7FFW+i4w/dGugOCOAOj8IZ9/Ulcg7UUAdeP9TXgGFCdLPJf1OVJllpUpRm2YpoFhVGk9xHke3TDFUuJ7+7h/Q3yrEvTKT8wiSCKFKVZpRy6aPcyAytyZDlOtRWgj8O8vpp8gfAd3/q7GvYvj3WZe7JiuJdLsNSXXYMj2XhTIV+D/yxLled2Re/MYhRehTZyS7/jFL0ztNc4XExRoHhTKSfk0n6Hems2uwyfaxLSpUmIQa2FMPadINtmXC5U0jM+LlU1jnMGTaUPnY5pYun8cJ/zyPmiyLuvn8djy3ZzI49CYw+o5YZxjusUqu42bmZdNKZ7k5v+TlqAzLmuuXaOr3UMAzWx69nj7GHTcYm8py8NnvvQ+nM61w30VrzxSyDD181qK2G7//yq6yVvHcLebCuko1/7s2Y6zwY4dkoewXzvoTb3/8Rl/hK6f6DB1l/8ccMaQyj0dgj1rPoxXN4UMWz9pG/MLAghZeu+yk5Y5bzg8++S91Fb/Cth/7O2U9cQPDdgVS7imI/LP/zH7naG2T8nWWUp95AVM2TTH9/PVf853YqoyYydsu/OXNBCs+dcQPjvrRYPBh8jS7bkr1Eac1UU/O3sKJWK/boyH2rrTSN++zIOTy6ijYflhUdQEd/VZkPTZ3IBzuG0q2Hy5rHPXh9Go8X3n/tJCrLFDGbNXNuV/g2rOGZu06mMTmeur94GdiwnkXTs5m27mPM4q0kz6nCq0MMjdpAr/8J0meoS+WzJqE6sDzV9BmfwOBch3kzLdZ+YDLMdLnt50Fe+K+XpHrNKQMcnvijj8o9inNvbWDWb1N4yf0+f78/yLNPe3jqPz7iSzRnXlPPivu6U6c8uLVhvFYN8em5vP/ccLQOMGSczZBxDqu/sLj+Z0Hik2F2dSY/f/1X9I3bydp7/PzkgSAZOZols00ev8/L0DE/wWlUfPRqDsnZCeQPSmfar5IJNabw0pN+Zr/jpaLMIC1TU1ft8OmbJmWlivx+Ll/ON1n4iUlttSLUCA31irMutznzMofUTE1DHcQnpeIzFampJkNPOYcicwR79uxm647tAFiWxaDPl5G6ZjvdzzwVPXTo189bWSXWs+/gThyOO7L1Q65CodC+sdtOWRnbw2ESExNJTk7eNxnagWOvm/5u3lvaNOt580D7YOVLGsL35/VGOn5aE1wbhtE5ZgtPjid813eo3LYNXVuL6lcOg6Jw64eSQwZZ1KKsaxhCPv/QAYY4UaT8fSfZupDn84YwOi3IHGskWfShP+AhgSKrlIQvq9gy7kd46jaSdem/6G7uIuk+Gyt+CFt2DKVb0XqiXq2koQH+Nj6FxLTN9IpLZ1HWyZxSPZusOW9xZeqX9NDFjMkYzcqdJueocQzJr8fnaeTOP/p4YemFbJszEu97efimLCc2IZZnVhqYHkVuLx/TrvXw7rMGyxYqSnfEEOWfQFpOb1YvTadqdwbeSxVKhUl1P8AMlQI2mjRc8jBYAexGodG4+D0VWGYFnvBaXNUHMIBcrPDdkcAdBVSA/Sim/SSaJBSNYC/D0Msj7+0ORAVfwXRnAvW4xhCUuwxFJVq7aGMwAPVuLRBNlHHwZ11nDK472/4czgk15rotK9a6m5fQz7OOuN3uIsWMFy3SsjTlpQrT0lx8g70v6M1Xmnwzkib+8LIYVteYzC8xuaS7zXmmg5HtgSgDt5uX512LIIprjDCJChL2fsZWrZj5iIf1Hxuc8dMwJ1/gsHy2SXkpzE0xqNdwmcdlok+zsQw2fmZy1WAbe7piZbzBgBEuiSRyvXt95A3T4df/bj5BTZhZxr+oemUYkwID2PK6YvanBnW/AGedJrjeIFCiKdPwPmdyUY8gb03uy39yUjjVfpmBQy0SpqeRP/xpPMGdpP/hCQw7kVN6xPFOv7spUAW8YrzC1e7V7Z6O2xlvEJ2Vz+dr87Tws7eeTVpOGiPdkW32vof7vM68znVz46a61NXAqFOaVUJX1+O5v5A0r2Jm1qN8rl/lp8EwuyuCXDZuB+tHnkHCmM+Zcto8smsU7y4bidVzK9Nv/ynnVMTR97L3WBDv5dR/T6fnexOoWjSADWoYUX228MXFb7HmxplMKOpP3uLxRFfGEW/4URnV/P3mPkQHYfiKM6lMWMqMyT+iNKUbw9b5mHl5kPKYaraNuQbs88nefSNFGbFMs1yUgsd8Nnt0ZIm/ttR0fKWyfWTHe1jW2iUGeb/+FSl2Mf/J+xu7fHm4WtNv4GwmnZHK+LN68E55KRc/+jiu7fCtmf/lpgabZ8ZOY0s3m92FDVz+0UJWhgdy9m8qSO2XTijK5e3/eOh5651UndPAzCmJVHoUhZdBcKfCtTWnmjbGqkhwGmxUTLkgjDJgxXyTi/oqNqbFYFnRvPeszbnn2KgqGD/qXXoVl/GkezWnxSziuwV/pVvfKox+ARYnXUlKZi7X3gm/viFA5R7F6FNNTprmsKEkmR0JGYRz+xEbrfF7GnEci1nvWqz/UjF85GLK3o+nW32IUyf4GDD+FHw+k0/f8PDuMxb1dYrhE6sZNmIWY8/MpnTXEAaNdhg6XhOfpDEtGDAysga3zw/TrnDIzN17jZs2u3dXQKCc/ieVs7WqltjYWNLT00lMTMTr9VJVVUXZ+ZryjESKPSFily4lKSmJpKQkYmNjIwHs4lWY781GlZQdU3Dtui6VlZWUlZXtG78dGxtLcnIyAwcOJCEh4bDpyYea7Kwp2G4q04cKtuVZvb+m4Lo1Zbuje64P1LQ/rsrCVZnouH6g0/G6BTgEGezez79VIuHYq3DP6UVFaTQ/vf03qOB2nPEeFo3Io8+ok/gi7ae8t2IRV7z2BHmBuaTW1OKU94LsBqK8I3F3X03xmQHmnbyES3/7IctrVvPfW6qYc/1zpK/cQr1TS1S0YkXgSr513xaiqKPAfg9emM+y067ir2f+nmjLxy8an6D0VR/lW3tj2wp98lY+nPIwU/13cXLNWfTcm3U2YJQmNhESzjX5Mq6RlN4DGVC7hZTsp7g8diX1jXG8Xp5Ohr+UYEM0pseHJyoVrUeg9GKgBoUHMDFUA7iNGCxAKz8Yg1DUAqAJAAEUQcBGUQwolN4BuEA9hl6CcnYCBoo9GE4Dij1oTDRJeOrPxVaJ7HZqWWRczXj/hbwSrkKbPbnZ42ISCQwPVh61jvSxJxBZDUkcWpuOue7onoa2uImo4jDUOuhe+4+pNpbV4f19IeFvp+Kc99VkSIYBygCPTxMdB77AodemPXt6BXUVXtZkpVGgFVlo6sbEkDg2hrCGbq6mHPabQ7tOw38KLZbPtvDVwAfaYvkHBsUfKRLT4eWzFLUoTrVcMhXsroJiB4wQDB2lGToqEkTXaphRY9DHqxni3/84bdlZx2ePD6RucQ5ujEEgCtxQZJ3rhB7gHVzCGRf+lFK3FwnmBAz9Hunxmgx3BLuNM8hKqKH6pmQsTGKdHvzw6jiKSxMYm+eS79zGvea9vG+8T77O51R9aqvP0dGQtfparq17rpVSRIeiGeOMabfsgc5UkTic+CS46Pr9exTUrCrwGzQOUvx+2r9w9FbuChkEDB+hsJ+f3XMbxbVxhBu8DHn0Ar74+x38dstpuKcvZejynqT/6duc+dc/ka5sUC7Bumi8bizqv99morecqk+mU7h+EP4oh0/PDPDcmpnc9pf7MQP96WWPY/Q8i0kLvsM/vruRPekr2D0uhitzczGtZfyv3k6V/Qprc+7i2gD82R+5r2QYkEHbH/PmFXFxeG29Pv2Beg50qUkziWvQDJmk6ZFsM/7UlfTp/jM0XubNuYHbpz2AvmQiC+u6cflCmxGTHLaXW5SsD7D0YT9bSs4iFFRkDUln18sGn71tUVcN3XqY3PM0WLtcjF0m8ekNFC0zyfQFGb6ghAceTiPkg7OuDPPByx76DXcZNNph4xLFP0/azO8/zeLtZwJ0y3PJyC7nofvy6ZGh2bHDQ+qUUfQ6dwofVSXx30unsnNLHDm9PSyeZVO5J3JdjZocuY4tSxNshP4jbG6t/iPmdzZQ99efYZi9ye3lMvpkzdDQG9SsSibplpvRsZF5WAaPcRky3uWUcxwmT30Vj/04jjmNH/+/RjzhB7Gtb8PcAGf2T0AnppP/2z8wJj+bsrgr2bw50itcVVWF3+8nKSmJ/Pz8fQF1c3FxcZCTgz7jVLJqaykvL6eiooKtW7eC45IUF0dSXhoZV07HM6FlExhpramrq9s3GVp5eTmWZbXp+O0De6kPFWyHw+F9z57W1iO7yjPgSJqnhR+rzvhM1FqjjZ6EjR83/QDHGAGEMdwvcFUmXuchuLKRqcXX4ZuzCLXNZkL1eqyPN6ImD6ff7+DzEf3ZOnkMUXnppLzxIdbydNxQT9y8s7FermCj5wlWD2tkwpjzeOVmzcl1yWxam41ndwFmt2i2Vafz538PI67fuaTkFvHT6h2YMcuh7x6U5dJII3/p+yPM6ydw+rKrye7XwNqJtZSlOoSmzCJvz2ioSGL7ZnjrPwbde2vKBi7mT/Z9vFrUjfPX3ca7L19B6W+WUJ5byO9Wns2PE1PxeQvRxgiye0+F8P0Y1BMJjBXbKn5DWsyLeKzVQANKewiZd+JxPkdRCrhowihAYxJZgsjGYDcLGcLv+TF/50fksR3wo4kGygAHTU9QCSh3GR5CZBFLLHswGm9mmBvmT/b9BHQvnnYM4jX8wPDSXdXvO2+LHcUtjRY28AOPw7Uel0YNS1zFSFMTK4/q/bRZWjhEWtjaajKNo9UmNxGt8f1yBwQ1wfty0N2+esCZn1RjrmiAF8r3C66T0zWX3xTG8hy5JSc33aZvXCPVRhph4EXXokgrhiqXpdrkbMPmHGP/ic22LTUo/JeJtRtGTrFJGunSP9GlwDFJmPz/2Tvr8Ciuto3/zsxaNtnIxt0JBHenWHFoqQt1d3d5633r1L2lfeuGt0gpUooUdwmSQEJsd+PJ2sx8f4RdAgSKJEg/7l69QnY3szNz5pzzyP3cj4YLQapQMe397hYPaeSVQ2mMIMOjUVtV325k4TaJzyfIRARrfPmu13+uG5YLfvksnNCtA8lOVxh3tUZathdTAMh62Pp6GT9MKaamWxVdkvLRRCWgUvZHKHELyun00k/oLBCuXUGVNAFTgMpZY6B+sYA44hinjuMv6S+ytCxqqGGiNJEWWgu6ad2Oa7iOBGei4UeOJhdGaqA6+29xrmfJs/g662sekR4h1M8taRqoV0XhDdYhDwzh8Zob0BWOhxUK+jZu3vzqah68/mNCTDWU3Hc/C/Vevh2yjFsnjGLkjG4EVJpxGjyEjnuGnB5ryCWS1bKEpzYQFUHpew9R03Y9lR/fSJeah/lrTDrt1NFcNHMBZr5gt8hl14ifmdd7Ouu6DUcIHSVxL/COuy+XqnH0K3RRsiuLJa2ghdz8xtrJdq5PpzWjucuyAgIhYNl/qS11M/PSCISA86+P46cv72PHplBatNmMyyNTcH4/fnypBx12fMrMZW1Z8+do4iogLB6GXOxB8Qg69Fb4+VMDdTWCtt299B+jIGwebh1XzZTtVuxaEBazypiUMrIj6+jl+o3Bzp/YEfw4b37Vmr9maqgKVBRBglVgz4MyoyAxQ+WvX8OoLgCnx0RgqErRHoXNCZtIKklA2RNMTJKB7E4q3QZ4sRUJ0rO9GOociFe/J9M4gKj49nTq7UT6tgpJ0zB4vdz+tIJ9/R7SvP9DvaQDulaPob/hR7RAL54PriAxXeLxdz2gOZHdK9BECl7d5cjKHIS2GynnT+QXclEE7H7sOqw7d+HK283qfq2wWq3ExsbSpk2bI6b9CiGwWCxYLBaSk5Pr65RvfhqloIhN917K1gQLuj25hNVVYLVaCQsL268m2+12+51pu92OZy/V22q1kpGRQVBQULM++z5nW1VVKisrsdls/ix5cHAwRqMRZW9PZF9Q/FA08n87ZFlGkqTjCpydzFZcjaHRPVoIoL780q1/qv417xQExagJWdRNeB4pbw+mjduRF69BadGT8Cd280CknrKzLsTS14Jz7AD0X06B2jr0P3yEx2bn87NX89+HniW5LJEHRz5JrTmcLwcLtrVvxcV9b4E9PYj4YSJjd5Yx4cJ5vBTTh8qLi5jWZyWjbVcyP2oSOpMOOq/ix7Q3kIKdXO+5HuOeeD4PmcCS5QYGL3iIPX2msWtld1rvjmZwUhohhgwigvVktp7Dri3t6bzgNmZd8ioz2s/EFZhLpxojl3jSmCLu5k1LBZOrZEpkeNbs5gGeJsorU6+6BFWYmehegYeLuZrP2CW5MGvVRGvqXtUiC1BFJdWo2Egnhw+4jUiK+J+4gv9ob2ChkF4swiT1ACkKRcukUKvmdu0GhohSZiktmSPaEy/CqQI2qi6QbPTSB1Br9PCJU+ZavUqJJlABJ+AFLnTqyFcFsgaJssaNeoUvvTI36hX6nQAb4VRHk2WuAVwu16ntXGsa1KoQeAhqkxAobQKQ9ngOqsf2nhOKvKIWxwVW9Fp9G2xVgyWajFmnYUFDaPU08BJNkKNJtEAhQuzvdHerLiNd8mABPlUlihC0FioK0NgSunyBTPyuOvpb3QwaqydalvjgWxPbNkhUdNZI7glDVA25HKZNlzCnanQOhtK/BJ9sksjLEdRUQ7UCXglCg/cde3MtvP+WjLsY+vYz0aa7yrxpEiHhKiktNNDqyAxeSWclCG1nT7z9r6OizEJoaBIFuzQk+x6K9sRijcom92UFV+ccci9MI9WYQ/EeI1+9k0aLwTakoXbOV87nGfkZ9OixCzsrtZV0U/4dzvWptHkdD5qaXuozjk7U/TkRBtgCeQF5ljxylBxa0rJpDx4oUzMuiFG6wRiULUzzBKBb2xV9m0Wc0/FP3O9fiDm8DN3qFrTqs46P372ZOS/fgF7nIa99Dq3+aodcGkZyTjqPqWnkJW2lZPAbhH92LcU3v4fSagvqiKlUrW9FneFBAmtVJPfZuM0fEb6nLQVBtcR5skmQzqFMN59+wdmscWlM9egoibiYO+rs3LZ2PiMG9mna624EJ9u5Pp1wQsqydDoCYnQMPs+D1yuoqwlm+k8X4qwTdBnSFzV4AN++2JK1fznJSpK5/Jq3iEzpRN8+D6LKfVmecy2dh3sxCwgOVamplLjxMTeWUKAIErweglSNsBA3LUQN5z0vo2lBXDttMkIrI9S9mU69W5LZVsEcBBtWSJRHhFP4oQlVhTcfMXJfyncstdfQ3lnMdfI2Pt15NbmLwkmscaFVqTgDYcUCiZYd4bI7ati9TeLnZ6r49dvz0AwGlCQvLtvriNdMUFaFMeZFdPJYghPehcJKJOdGxPYa5DlT6m2FQb3RWsehtTEj1BKk8vVg1oExkhrvSGorgyiqCccaUQoehWKdhvafmwlJTuCstKQmebYlScKgqGA00a5VNkpMBBUVFZSVlVFUVMSmTZvQ6/UYDAYURcHpdBIUFHTEVO+mhNPpxG63Y7PZcDgcCCH8WfLw8HAMBoM/sw34nWzYRyX3/bvhz8bwb1k3jndPPplq4Y3hSMfFqxtT/486J6K6FrV9Fmr7LLyXjkD3nR3d3CL0ZQrRCQbqpraAIDOeWy9BWr0Z/eS/8LZLx1K3gfcfnUb7tWcT2jmRUKNEYKcnsYn1VJhsJKVu49xWVYStCqTlhgR+Cc/B0U6lTpOZavoFqKb1zjQMOTp2nL0CyWOkrLoQpbKMlx++iqrIZGbcfB9bsmZgv9DGRtXKs9p6Jm4J59ekD9gcEc9VZ5UQYYhhUXk0daZ8VhlrWVZpYWH137SMqSBWhRpNZakOolSNWFGNfq9XtlMAoobh6o9sJ5OX9VnU6NZzncuLpkkIBIp8NpKylI9NRVzm3Egfw6O08wQjtBC2EEMfplJOGN9wGdexCbStoOpYJp/LZiWTatXERzzAVvEhNxlTCRMawnAbqm4jSfZ72WTqxUZVsFIVXK1TyQjQCNubD//FK2EQ9WGAtargO69MsSrYoIhmca5PNzu7ydTC4fhqQ44XR+Jc6z8oQV5QhfuxONQ2jUvRe+6JbfR1LSOA9V9nMEnVk6UqjJYVyoAFLhn7CghK1jDHwu2yh2WqxExVRqCjtVBoI2n03NtqSwJCRH0rrlhJI1LTsGgaGai0FwcvgiMu9eJdV0RSSRXKzii8WaGkZGuUFMDwFAW3TjDlPokpOwS1LoiMhBCrxpIcQVImIKBDL5V5ZRLOSzVi9mh43CAM8NhzekrWQKdslavuV5j+tcS29YKS3L9xJO3G6/mbzlduY8ywJHJje/D6l2G4/t7BHQ//lyuudbL17BQ2Z8SyfPHtdDV/xboJ7Zhbvp2MG55kya+DWLf0RlYZdlI1/CMu4AI8wkOIFsJgdTDpWvrRDO8x44yg2ZGjOTPXJwInInN9h+cO4nbG0SO6B/xzN4ujRh11lIo9VMoVlIc4iQ2pQhOCtskFFN9/H55aEz9fPoevHv+cGovEgh8HUi1pzOq0lbQ9oei3peFQDZzPbq6bdh6exHzcHdYQfefbtE5eTZs8mNu9O4qskrzLxrp2X1Ah6+hg+4tw50uUJA7CXvUFLlGLQ+flElnldVXGBAyKUigoVv7xGpoCZ2qujxxGo/G4W/YcCYSAy+/0UXfhinvcBAVr9BmuAmmMvMwLc8oYVaoR+cO1XNB9CZPntgEtjzu7GwmyKbxR4WbHGoXezMdV2IZgp5Hclytoc7mR//Z28+hFRlZVBVEXWsPX1xexqfo2MvTFLPhxFB4hse5vmSc+qOP79w3M3xOMudqDLgBsuTo2bY/jFzWNX7wmekuLWO3uQvuFweR2qECNFqS39ZDWUqNrfwVZlnn1viCKt2Uhe6uINrqIzlhP6/YrEaY4RLQTNBdCXQMhKkrVRXiVwWCuxnPn1YitlejeroOYfNw/tUCZG4Tn5yupDjOzauQS6urqCA6Ora+LbpVF8NfzSJy2Fc/zVzbNWOxwIko8qN2DcL/zGDjdEBaM0DQMBgM6nQ5ZlpFl+aBAlaIoeL1e3G43Xq+32Z4ZXw23LztdU1NDcHAwERERpKSkEBwcfNC+eSgaua/914GfO1pF8tMJQojj7sRzqtLCjxTGe19G3rwT56sPoHbOBsA7KhT0AmlrHWqiEYz79ggtLBXN8gAmVfBjh/FoEuh67HVzXCrjXuhLudyO11qoXBf5BN3TYhjy4QjyUopotWsY+TG7MSpGWnkyaK1m8MBVg3FW13J9aCVB2SmMtzzDa389ypiZ3SmLr+OJpyYgISEjoeBk9xaVBUurKWtZzsogB1WqmzDCsJn2EFgeTO+ySH7Jj2JGmw0sMMiU6hXiXUaed1nA3ZM5tQsxG2roJbuYaDByoceNC5VgilhhtLNS52KpPoCPqvQki84gdQXlD+brdeRLbiaaXKR7S/m8qpQe+kcJdHvRkCgzzGeaFEIX9y6itSL6KQu5RF7FRVowS3U2bhcP0V9pxR79hVyjefldqJhUJ0liLtcae5Es2xB0JEto1FDDo/KjnK1rwfXKbexWBb94JS7XKZQi6NDE+iunK5qUFn4yRc2OaBHxaKBRz2k4BgQBBk3DuncNtwJttyks+1VHQAvoeoVCgICOkkoFghxVsEyTKVA0QmSVsAbnaBAwTvKgIfifoqNCE5QgSDigfjEiRkO6JwRtkYzSLYhfVZkl5wluuEQhQ4KaKg17EdQGQc1A6NdJpZ2ksXGFxDlXKxhNYDSB2w32d2XWzxb8txL6DlcJKdEosknU2gXVFTDs4vqMdddOb5DvrSGPLNzCDMn38qInmWIkWnmNCKHDo8ZRnXI5b8jtCekjcWVtDBvW6ZgfY2VIZWdmTx2KosiMu9bEH0p/uqqDGKGOwIwZE433CG8OnKm5PnI0l3N9IiPnzW1IRGvRdCzriBx17Abpfk6QVwObB6I96OquIkpTeNWu8vfCQRiiC9EuWoFWZkFCIspUx+4WuWzoshFPWQgF4dX85+nPGPPsTYyb04m6ylBGh6XjDqlCy0vFtLQ73ugSoisM6Kos/PnkeOZ1XoXeewdCU6kMDmB32MvoK0czdM4S+i3qw7LWOdz9bDeEpucrj4mdQuJ8vUoXSSXMqbLnBBmwvmfm32YwNwd8+6/L5cJsboaITyMQAoZd3GAj1TRal5eTEZyLeW4fRIiRzb+H8F3FEFxuA6Fty3G7Jd55ugpvMfR1/0Tcx39iy7yORz+LQpMFg26DMreeEdeAoY2JxbstOCULrpRkNFkiyuIlMcJLyBXvclORgwlJj5Cpc3Ne10rKIj10WFLH321Csbt1/Jk3CBEdyLbWbUgpXsAddU/zW/FYAnqbeeORRK66z8vQs5zM/dtDuaJnbJd5jHn/SXYVnc0e+5NExlZSr8xrRLUNRsyJwfjJM2gBAtf3b2C4cg8UOykaLshZuhRvURVt89KoywokNEtCtsp0lboiEOjytyPyVyD/EIjnWQ1pcTVqCxNE6o/5/hvuymVbeB6vt5nGOebzaVXZCvvGfOx2O263m9DQUMLDww+ienu9XsrKyigrKyMvL4/169cTGBjop5A3Vu99NKirq8Nms2Gz2SgrK/PXcKelpWG1Wv2JmCNFY8627+eBfbUbCqOdag7lseJ4RUYbssdOhbX0aJ19LdIKm3dCUIOyiSAZ7/nWxj9v1aHF6VETjcjS/u6NqofQu9oxw/kVf8VV8nvQ7Ux69Vn6XdGRVWF5XBs3jNfEBsYxjkpDJYFqIGGD09m+YjWuNI1zzL3QK3rSB3bhs3tms6JLDnr0WDUrb3vfpvOSTOKu3sbjweN4qu1G1A6buEh3Hj20HqwqrGBG3Kf8rttDSdJ8hKRRvXc41huCuNYcwkj35Vwt/UWbQDeBAnbILqKqwaLWcldQNePcXh6phksCArguEKJ0VbRQl7HDJIgSaXwYsB6XgBod3BYEivAQRSp/6WuZpduCIlSmuKFCCObqvWwLWEat9xbuMO3Bou1kdvlcqtTPeV2N5XERwe1ptxPhicBkNCEh8Yr3FQZpg9gmtrFIWoTMUu5Xb8Mjl/CkHIFAkNEM+isNcSo8w0eKJnGudbr6w5zqzrXntmg84yLAeuSXrfvGhm56Be7/xBPTwsSdun3ZeVUFYw6khqv07+0leS8VIk5oXCZ7qRKwU5OYrMr8rOoZLOnRJAmvVt/SOlwAaHSQVH5SdOSpEgnywZkhta0ZtW290eRU6use3Bp4vfDjRzLVFYJ2l2rsuQRa6DQ6yxqd+9YfZ+NKwaq/JEZfphDXHZYVSCzKEkyfo6PFbuh9lsrg81QifK28o+Cnb56i/5hlxEdegEmSEZKOsZrKshAoLUtgT9kEapVlJJojuTHSyAZNY+KmIayTBdYUjZKwB2nZWUKSNSISWlNZ15YZksYNhmoelx8nmGCeUJ44Ib2uT5VN5XRAU9du/hsz18cCn3iP76evlk4Igf7+XKSFVXjfCEF0LAK1nCHfD6Tnh6MI+uk+PEG1lE0cQOAnY9l9z7dsMnrZtGIYW4etQdEkVFXw6lNfsqfncl6+4mmkHQKKEqjV9CRd8i1JkdsRnSrJja6jKj0P1aBhkSrRe6E8zIXTFEfv5d2Ii3JjdcOOjKXEGlYSrNxLldKeWEnjUUP9WmLz3dvyKuRXP0c9qytay1Sk3xagnj8EwkOb7J6diuN4qqJhy57mcq6LRBGvGV5jsHcwQ5WhAIgcJ/qvS/FeEoEWIGF4swgPgl3jg4lXIsioUBmwI4CQ7BLe7zEGrcBLVe9hdN8dQ4d1f6ObFUdgl2tJD7ST1WsZGAZh1Mm0aFsJmHix+1eU7PSQOOEaSj7bTeZWB1KUgdq5y+kRWE1RSg7f/9kGKaKK65fdRn5eEhffZeSFN3ri8Rq5+fJKPvslhI57/ia7ZjU7pTasXzaGTSsNTP1+G+1/V8nxZKMTKn8H9CFgzsO89+K5SLoAJsw3ojcAThXp2zTkCUWQb0GxqKzatZWsCoVAj0RFqo7ExESs7a2YxpkIBh40XMUesYcXqp+nxy9pyKviwHAjalog0u8V6F/cg9pSxvN+1jGNhaqqVPUxMDtyBXOM8ykpdHD7rtv9PafDwsIOmY3W6XRERkYSGRkJ1LMNy8rKcDgcbN++nZqaGiwWi78OOywszG/fNQZFUSgrK/PTvevq6ggNDSUiIqJZargPzFL71gmPx8PSpUuZPXs2M2fO5KqrruL+++9vsu89WTjegHfDAPeJov8fDke7R7ufvg23V8HPlf4nWGScn6QB+wK0qqr6/207T+FTy2/YVTsGl4E5Izdz/7RbqIwLISQ5nHPDzkVv0DPYNBiAC++/kAhbLyZdEcnqbju49T+38pD+IV679Q1UVH70/MhAbSC11PJW7mPcJIZyZdtMxnWYxNIlTqbnreHJyx7A0dpOQXUZnoBq0LtB0ZMyYxy6pEJKs7bwh34nq2tfQTHXslEPN9fC5gCYYNCRtfYqKrMnsdhYyhVOmW93h3BuTBW5OgfL9Q5kwvjY8zrTuIASKnEKA93UdHqrbVhibssU6RWi1CCcmFioV4jWgngmSM9LyitEe77AY/IQpEj8urkHrUIqkWJlpui3UyfV4VJcdFI78Yf8B8/onmGAZwDttHY8qTxJvBbPNGkaz8rPcrl6OWepZ5En8hitjj4htv2pjiZxroUQzd4O5EjO4R8nrSyOyrEGEDtcaE4VUeqBFvtnXMttgtkrdFTrBRek73/t1V74QtMTKGn0FCqrkfAg8VleBnNrDXTaqVJXKzjnKg/BUn0v7DpRT7drbC9Sa1R2mmWGCy9D9OAukLj/WR2rtwrSEzRGdlJJNGgEHPC3M3+QWL9MIj5VY9RwlVE9VZ5yy2wPA1MfSBqgMbh3fVud372C8d/qCFiQRFjoKgZemA8iEsnzF2frerNkRxhbagU7cpfRrc0T/O/Dh3FGpbHrEti4WpBqzuWRyOl01J9Dx6ejAbCvqWHoOifB51qpM9RhF3aqtCoUFHRN8/gdFmec6yNHc7TiglO/5rqKKsYbxpOhZnCp99Lj/h6fE32ofq8Ne49qJgUjKsyvxfXZxbjvfJ/57TdR3juT5bVWztMX0OaK6eR0cJI1P5GgD8fiybAg8hMxWCr4fdBqXn75Il44ZwbemBKeXl6ERDHvk8aV5BMoeTjn8TbUKDI3XvguIZGlxGbmcP/LTiqC22BgJct6V7Hz7K8Z3SqRmWlrUavvwGjsSF9Z5UXjvmCfby5Jc5cif/8b0pI1qB1aIn8+Ee3zSXgWfAFHmZk6FHzfdTLm7unm2J8I5thyeTmL5EVUFpYycn43vOeGYnxpD/LkcnQzK1H6WPD2sVC7qQbzMg+6ojJENws3POqmHJhvaEtCXgCfX/s5YoAR3eg+eC/ohb6zmVff+A9i4EyqZw6m7KweeG17uHbAI3RIuoGH9TdhX7CCt6cMp7Q8knaBKktMX3LnZev4+Yc2lFTrWBz8Ja0ljU/KnqD2OQsi0ohFrzD4agkyvVStH4fiTqRvZC8GDtexcqVMv6EpzJ9YgkXnJblbObll5RjmCRQ0wqNcrN/hYFX5LPJy/uD6WeeibxVMmHIZrlZ6wuOiMY3wYvjLSVq7FCjREOucqEOMIAQ91B7MlmazIHcmCT93JzksEc9DcSy8M5eAsmq66QuQ530Pd7QDawie+66C4KBD3nvN40Hc/V9cHjebbhqLo6IcqbtE68hB3F4XweCIwaTFp/k//5buLVZIK3jd/TrhhB92XPV6PVFRUURFRQH17Aefs71lyxacTifBwcF+ZzskJASXy+V3psvKyjAYDERERJCZmYnVaj2sM95U0DQNu93OrFmzmDVrFr///jtCCIYOHcoDDzzAiBEjmv0cTgSaghYOp86adtTruRBH7lizz5FuyF5o2PotTo7jDc8bGIWRGF0MlqstlJ9TjnA42LlzJ9Xr6tvg3Zx8MyJEkGBIwLDLia6gnKpZZSx/ajkGr4H3tfcJFIFkaBkIIXALN5MuW8yutBLeavkZRgnmfx/I5OFfky9twKgFoKognEaEoiPG0YIRX73LkFEGng24CDU9n3ytgEH//Ziu/b/n3sRFXFYew+Tixzkn5BzStiZxUcq7JKhVlKshPL7kCbr0aY9Xc7GxuJiyeWdxzlm381XiG1gI4RuTygLNwbvei8gV21kkL+ZW5U6eD3oHCYlvPN/Qkpb8ZNpIADMYvP587rjpJrRoA2/MmEOx9CwmxcTz+c8zOmE0N4mbiNPiWCAW8JH8EQ8oD9BR60ixKAZARuZG3Y148BCvxdNZa/7Wq6c6mmwVPNm9rpsra/XVXQnU5XsYnSUftE0VRQqqxkJokEaZEATupUTU1cCXbxlYHyjR9laFgbKX9qjkVGo4pptZHqDDoVdJkDRyqwRTg3VkopKMyuOKgSGSwlkNVMPleZW4xxez4tJo5AusDCqCV+/XsX69oCoTap+GtHSNWmC7IsiWNHx94YddrOIxwA/fS8ydJPHoO17+Y1TIj4ZbbHryfxBc0E0hxgBmARHnqfSIXEq3Xj9TkBNCcMgiwixfgraH0OtvIHFQIR0yvoNiD169kwU1gtTZS0neE0b/QdvoFv09qhKMKl0CQPQHRVyQ50RJ0aP1Cec573MYMZ4QxxpODC3836Jm2hytuJpjXrpwYcBwUHT0UN/1p/wnLxpe5D73fQxSBh30fpEoYpu0jSJRdETONexvrDQWIfedj8+Z9mUNGj6Lds3OJa/cRER1GD9cewOGEh2Gx29gS3Uqn5V2IrlbEZlt1xEqa5RkllJ2231YvDouarWJLj/0ZvGDOeSHVrEp1sG0Ia9TvbIDEgoLCWW3QaA32wmvM2CSPNSVSCyvSuWcc77g/B/O4r2dbja1qMQrUlG8eqrco9F6lVPqtSGkZG6TFYasWU/wM++gdm2LPHEOlqE9EcO6ogWYoLwKrbUZdVgf5O9/A0WBWieENK1zfbJwOs3nhpnr5sLZ3rOp89TS6yEr+m1FKMl65BkVCJcGu93IS2twf5RMyFeFyEucSAkSuCoR5QorpN/I77uRFis60jI4kdfuvRVlTE/cTyUjL6nG3a8VhqDFrNo0hLnzu7NgiYwKrHcYcXhMXPH82ZTWBBFjdKNtrkXUWqiNCKYsoAIiJPquy2b2xXmIzRrG5C2UGcO4vjAQw1cKu7xJrJxsIja5C4YcD3N/U7jyS4md2w2E3hRK52+X0/P2fEJNC1i9JIGHxr9M7pIu3Hx5S5yBbfF8/xiZ25MYfd6NBN9SAvkQYgtHjqjE/VEcWpoJY78NCIcX16fpaN2DuMV7C5pO49NWn7Dh6XVc5L6Q9u378JDxUQiBOXc+RuCLOuT5y9DMJqSB3VHO6rzfeub0OKlwVFBiL2F78RpSihewoW0t3UwXkJbZxd/bujvdDxqr2fJsKqkkT8ojXD28c30gjEYjMTExxMTUU9l8NO/i4mJ27drlX98CAgL8DnVzK4z7oKoqa9euZcaMGcyaNYvly5fTpk0bhg8fzh133EHPnj1PiGN/otAUSatTzbmGpj2XA1lhPggh/Awx3/8+dKADfvayDBEREURERAD1wSWHw4HFYcGeY2eBZwFhoaEkPGChqk0i77jeIVJEEqHUf96reRFCECqFMkWdgr6LHsPeZrqX3KYSs/0eijxJ9JF6MqF8BmbZyHUFD1OYJ9gUr2fjCkH6Dx9R+vpYsqWWBE4bTe7cs3kxch328h6MGmcgpqXK2qvvIPm8Sv7SOjH9lwvoMQja9VNAg4JZEt98KCFWn8N5j5RzQ/BFzJBm0FPrSQop9NUGspSV5It8blFuwSZsZJIJwHrZjoVI4lq2QL04Am3El+z2vI9b56ZnZU+61nXFgoVvvN8A8LT8NJvFZhaLxXTUOjJcHU5PtSchhKCgsF6sJ1PLbLLxbYjTzc5ussz18UbYmuIcmnLSVv9dzZ+hJnalBUCmDoQXGtQTqBpMVHVYOmicJ3lJEPveU7wg3NBBKFwpPOxE8D9FT7jVxIiuu1mZ2gI1Q2Ws4kENA48CLiEo8whcCBwHPkBuDT0aQU6FENWDkEGS9MSOhMp7ISNMoyQfPs2T2dMZrjGodJPrRc/mTZWYvVjCWQPtUrV6KruAKA/EF2kogOwEhx56yRrdsvMwpX9CqT2bVx4dTkhYJc+9sxFN7s6lZpWX3y7l7bpzuf6xQLpd1JHKNI2BtpWstktYB0Wi6i8jXxrEHkXQWdLYcXkU5tU1RHQIBCCe+CYboyPByTbSTyc0R4CsqdVKV0gruMd0DyO9I3nI/dBB7ze2Bvwt/02BKGCxvLhR5zpDy+Ae9z1EapFHfB6apvlFpHxo6Ez7IuWHC+xoQsMrvFRaavg0Kongjt9z7svjaG20EG8w0m9HHDsKo3BvTCYjN4E8VUPXawXjRv+A/aPLiPzhPD68eCKv3jCA1cln8chtpehUhf+5E7DLGverHXEjU1ZTieVnD+EtSum7JouqHuX877FoHv/+e+aZwxFqHHH6DZytjaNSeZJWQmOcXkH32udIc5YiLVkLTjeWrbm0Xr0RKTEBXG5EiQNtcE/c8yYgNA1CLEd8/47k/p6Zt0cGn3BVs+y/VQqGN4rQdQrkwlEXoW9ThFhhw3T3LoSigQ48V4aj9LCg/8KGKwgqe+mxDI1BVCiYni5goNaSDh88gNVuoUNNWzKd6aArIaDkUaQVMYiQX2CDiVbnd+acMCv5mwV/T/KQKbmYNqwTnsVeLCaVrgNX0rvWzE57BpI6B4M8kMSgXM7+YzrLuIqL37qPxOz1vP7Ky2yoGUhI3xks/HQHnXOgyzYXC83p1FasYte9u3lu3WW4SiXe875M9IItvOu9lznTxjKz5idu3fQEl5ZfzTctUqiwepg/bjsJuzbStosFg05G3Xg/1opgmHYPrhtjMOgFUrEbaW4FSvf6DPRwZTgbdBuY23EuG9nFT86e9FB7EKoGEDB4KmqPOLy5VyBt3ElurzAuM/alY11H7t55N9O0abyf8j6X1lxKZVwl89rNw9JPT63s5BmpkEy1/WGH7B33O+wWu+moHlm/6wOhaRrV1dX+7HR5eTkBAQHEx8djsVhQFIXy8nKKi4spKCggNDS0XrjNasVisTRZMNt3Hn/88QczZsxg9uzZVFVVMXDgQK655hp+/PFHEhIS/tXrxPHa1Se6Y8c/4Xjt9MM50w0D2cf6DBqNRmJjY4mNjd2vD3yBZKessA65xM1663qsVivh4eEYjUa/2F6EqHe4lb3ixUkZEldlpgD3IRD0ie/Nzi2Cmy/UYS8SJKRrOGsENdXhdL98AZfdpvD6HpWaikC2GwaS2lKj3KbgcUP+TgsfvP5fep6tEhEj6NZvI5J7AS7G0a2/iY3LIWdZZ65Z1IHYNPhPRg8/A/ZC9UJaaa3I0rIwsn83p4eUhxikDqKH3APlfgf62h94pk5Hou5+eu0YjjiACnuHcgcdtY4MUvfZUb6WpHcqdx7TPf+34kzmurFj7XBheKGQlnqZ8m8yOX9nDUazhJawT+hDEjBc8lKNoNMBKt9BIXDlPW5knYY5x0lQohGDUU+EUGnRyUbXDikYqK/N/lTRk4zG2GoP//uvkXiLxqiH64VifJkw91kmROsEBkfICLxMm2zCVgwiXaWnGa7XeXnhNgPr1gha/Ucl4WqNmip4/g4dZaUgV4FehhGXKWw1CjI1DXMQvPhGfcDgO90GiutiGLjCSs77G7jq1t2EpAUSaJFJzgplh+FFahGkKRpOWzLbdsTy4n2tuP0FL3c7FVaVX0PJLbupkdJRDSrPOHWUaXCvXuGNzmHQOYxPTF4OTXxrPpwx0o8cvprrprxnTR30qhW1AJSJsiP+rpvdN5OtZNNHabyFlEDQQe1w2O9tuKkDFBYWoqoqISEhfmXef3KmD0R0/jJmzRvH5vRz+F2ZxdqPHqSrKR9j5yU8cunL9D5rDoYiK9X/uZUFHXJ55NvJPJL5Ce2dgknWS/njmSc4O0DH9NFDmTlGZVKv+4jeZSb53IngMlGFhCexHMPKvwkI6ctdW20ERifyx4iuvHrLTDTDXDoi6M8AHn2zG8a3n2Xok7cg3F40kwHl7J5IC1egnHc2orIGZvyJXOdGHTcaUeJAefj6+gtJT2pyGRNN084IER4Fmrqkwwd5RQ266eVoS6rxjgrFe4EV3cQypDwXapwB90OxeM+3Ynh+D/pvHKgWqOyuxzq5HHlDLZ6xVkwOC8nfGdCMgrNuH4c0wo3SYhY63WroFwRqHZQIIi6dxQ3tO/B17yxWCSMJTjdDHvyckQFfMnv2bZw14G1qaxNJMt9Hqza/kJKYhn1JPLE9NnLJfy+itiYcg06QkphEq2EGMh4B9/pWzMBIhlhGt3EKPYofhmWBhNj7ExBajt5bQk6Wk9rsKcQUXEBa0gZaTdLo5/iO66PCeHB7J/IfeAXlYhNK8i4+WKpw6flrMXUo5647n6LsfzLvZQWSsKkOqUZF3eNG/rKUqAstrM5ejQcPw73DiSCCl4ofRd40F7njM3jNXr5v346OMd1ZlbuCipQK1rrWUlNTg5qqEmQOIqhFEBFE8KfuT85mNA7hoJOn0z+OWbKWTLKWfFTj7PF4cDgcfmVvj8eD1WolOjqa7Ozsg2r5k5KS9nM+ysrKyM3NBdjP2T7arLamaWzdupWZM2cyc+ZMFi1aRHJyMsOGDWPChAn07dv3iHuC/xvQVJnrU6Ud19HaFUdSYtUYK6ypzjUoKIigoCCSkpJQVZWKigrsdjsFBQVs2rQJs9nsd7RDQ0PR6XT7nW9DjQBJkgiPElTYBZoGwWEafYapOOugY2+NweeprF5WREl+EP1HWOjcV2PFQsH6vwVprTQsoRrxqRr9RirEJl9JuXM9n89dT8yet1BVQV01TPxcJiJa46JbVNJa7u24gUQ7rV2j1xhAAH21vvW/SNEoxkcxo+cObSxrtbUHjZcVK2PUMU16n/+taDLn+t+UudZi9AS0CcCYYGREaR0hD+5G04HzuwzQCXZskpj5gw4xWiMgWyMpX5CUquHTi5ihyGwyS9w8347xrSKs3YK478E4vvjYwJzyeO5rrzIXmQmKgWohCNOgVBF43BoBTg3V48EtGtSLyDIiZp8Bb42QKcqXCJ6tMbyPm9hBXvR6HUYh07dWQRSq3H+ngfICaN1FY2C6xoJpEnOXSmxYLnHhPQojK1UUL3itm0ja/DEt02tYtelmtv7VgWzdzfR9oQ/PfOpl8xrBQ2U6MMMbRi9PfWzm4duC2VjuYXvNL/z8QBq20g5c+WwaHTqo7MmD7maVDU6B7IBOLTVk0Sxdi45sLM/0uT5iNFfmuinvT1+lL9/UfUOUFnXE3xVIIMOV4Uf1PYeLkKenp1NaWkpOTg4ej4ewsDAiIiKwWq0EBgYe8fOmf2c9+t+ymGWp5bU3xhGYpBG6YDOX3P85qVUBGIRKgapDVAeQtD6FfoYJXBGkMCAvkfe2/krumJWkrmpFzujrWVOSiH5nB6JvepxyTwBCAVnViAqtpXZ3dzLnlLAyyU3LNnnEZpnJlqro8paDG14V2IZsxDRlNpRXor/jBbQgM6K8CsKCUS4ejvLqAwDYl65iW4WD7v264O3X5aju59GioWFyBodHczLHlF5BeG6OQmld79Bo8Qacn6cRcMX2+jrri/bSjmtUtHAdRRdr1LQSiJ89UKfhuSgMeUEVegGE1Rue7g5GVGUIClV4Mztguj4fw5ydCGcG+hV1RHf4gq2571Ix81wiJ98N99fQd0xfgnUfEKZvwy33/Ei8ZT1PtZ/JZi0O7+5Kcp/sSHLUhXxXewmzl1pYOl/jglQzRdtdZLnzyVD+YpthBe0fK6Dy1Qye/O4BlrR4gLror7n1jRCc7TcQvSWYbu1e5zGjg2KDmxdGXY56+6tYSlx0zjoftzGOdZvfJOnPoaRHplHjNVBX52ZJhz10s8i4+ziJf3g7ugV1BJeEEvBOALKQKRJFXF8xkP/8EUmrlzRKbhnKW4PW8b+EZ7lcu4T7QhwMcp+FZH6G8OpdtJ+SwbBLvyBTykKHjmu91xJA0zqUmqZRVVXld6YrKiowm81ERETQunVrwsLC/tFZOdD58B3T4XD4BdIkSfLXa1utVsxm80Hz2ul08ueff/od6vz8fPr27cvo0aP54IMPaNGixf/btaCpBM1OFRvlSOwBX1LpeFhhzQHfsxwWFgbsEwO02+1s3bqVuro6QkJC/M62r3SjoR0REASPvgMLZ+h45E0PoeH1VOf1ywT/uUFm9i+JWEIU/vulyq0jdKz7W8ISUq/FJMkai2YJfvgA7lrRjgBpM1NEHSN2Qlq2hssFHXppFO8SWEI1dm4RxCVrGI+iOY+qv2jfv0+xTjunyjN8pGjSzPUpL2h2pDBLKM8lEAdoNSo5cUbKrXoyJTACKwsl5pfJSPka5jzInScz8jwvXc7aq9CtSZQgsMcakAwSU5ID0Zw6infrqK4x4XFBiVGgQ2O05qFa03gvSM+gR10M1HmQJIEQ0n41IwBLFYmfvDIP5e7m8/Zufk5LoWM7jT826lldJxPdTuXcq928u03PhlpBy0yVh990IYTERTcK7rpKj+KCkJ0a/31Wh6ZBaHoGG5fdQ9I9mxEXqlyb9h6dWg5ge1wCMyZJrHhXJmpEKSG3BrNCkanJERSXCFztNdJbT8HTrjerV6URExPClwUSfz8liJNB7/Lye8haLrylFemtj721x/HiVFsgTmU0xxyWJKnJF8UELaHR14/HADtchNwX1PLNR19Noi9z46NP5uTkYDAYCA8PJzw8/JCtZ3Z8/TrWrxYQdVEY6h4DlroUgg1e4lt5aLttNV99czPPORy4/uzI1EmXc5HDS2SFlxidk9A6IwGF7RjU57/0WajRLn46+YWbWKV0QUm+nY1zBMYdXlpc7yGsVMGyTs+wLh9xU+lUNmS6yZyv8HdtLc89F0RsbDdCbMuJ/HJz/e4NIEloKfGIXYVoRj1aeqL/vD3Jsag7ncd8j48GJ5NxcrrVdkEzMscMEp5r9i+X0FKN1C7M3veCoqGfUYEmQ11HPeYNCvJ6F5pOoJtWjv57B+5RIbj7B+EJ0hCahiQb8YrLkV1gWKgi6qLRwiTUJCNrk7ZQYM3l+47TuPeNCbhuziIiQY/YsADDTTuw9fqbNWkmhvw5nF6Snd+LR/F67oNESIEUCx2O9F107SqxIMpIB8OfXDPkG9T/9SVyQSpBQ0MJ+lOP01hCqt2Oy7CeQeIs0lNyWV9sICGgHS6vjiFyEVNXdmHP5iTMHiPR4aW4Q8u57OqXGH7ut+iCx9HmknHU1cDcqd24d6LMf7aso2qbk50GAzVtqmlR1YK8wDyWfWfl3vy+RI2YhK1nC8KfH869H48gZ9FHXJ5wNuF1NwHgFDL6+19BeLy0znoCtUu9edZUjrXb7cZut/vXK03TsFqtxMbG0rZtW0ym42uRKYQgODiY4OBgUlJSUFWVyspKysrKKCkpYevWreh0OkJCQvj111+RZZnly5czf/58QkNDGTZsGK+88gpnn332CavjPtVhMBhwuVzHdYzm2IOPBweeyz+JkB0LK+xE4EAxwLq6Oux2Ow6Hg927d6NpGmFhYX5bICAgACEEwy/xMvwS797SsvrrWr5AR16OQPUKaqtlqitUgoI1JBna91Rp110lKUPj3ad0qCqEb3qHDYnncX11b1buktiVA5feodBjoIamwTO3yGxcLjHuLoXRVxwba+EM6/P40KRq4f+WzHVDqGaJj9/KwAvcJ9wYAWtfjegEhexElY2rZXYlwVdZOlRVo5ukco3swY4gvpWJLT+0YJmiZ6jk5bwbHBQWFaEzZDNGcRO5Uo8nV5A4UmW5EYpC9LwmjNygU0lqpBH7Tk1gU8Ewr4JIReOWm+rQYoy4AREJ0Z00JJPM5hYy2ksqV0W62bEZViwQnH2+l/v/o1LhkOmYrZGbKuF2QWamic1rMlkQnYHeAE8N6gbA7XU6tkUJ+qeu5fnz70amHTd57uWuxFu54rx+LFvVFuuufC65tYqLDMF855X4slbDPGgnF2tfYY0OIjpyMhExFwK3NPm4HCnOLBBHjubIfp3I9lhH+13HGyFvmLlJTk721yLa7XZ27NjBunXrCA4O9jvbwcHByHs87Jn1HenLVCpCdrDzJhs/lt1IatkKXp+wAVNSHVN+H8jWJ+4nS6mm+7oNlGmx/D1yHl8EaozbE0poYCJTrBl8NRq0u7qhvXIx6ZeUsO2KYLTAasISdmFOCeX84C1EyXmQvxBLbQ0Z5THoFRtDpxgxeLyQmA9BlnohMlUFrwKBAQi9Dvecz6CBYw0nNnJ8Zt4eHfR6/XEb4ccMWeB6PgFR7MGZXIbqUnBeHIbSwgiKhk4C93mhKMNC0R8oMFTgRFQooIL70QTUa6K4cMZVTFDmkF6YgKhSEMVutEg9WrQeLVLPCt1u+r4+nJuD2tHxojCm7joHu9tI+8RCtgWWED9sIjFdA7iu85WIuncJty7ltV6bKHnqEc4f+TVrgmWuHrYWV8hmwu56gdvLk0iIK8B7tY73R37MFUVfoddfQovFG+lX8xYpQbEsr3mYNm37M2z+3ZQbW6KT0wm8CUxm2LjCROuSCtKqvZRVG7lDdKD3ki080mMD4smPiA0p5ezn7uGd8kSeXB+IoayCsK5uvnIPQTF0x2P4Lxp6ECF4b70UadN21NYZxz0smqZRUVHhz05XVlZisViIiIigffv2hISENKvDIkkSoaGhhIaGkpiYyJIlS1i6dCm7du1i1qxZ7N69m1atWrFgwQI6dOhwyjlPpwKaYk9uat2T44Fvj1YU5ahEyE4HBAQEkJCQQEJCgp/FYbfbKSkpYcuWLRiNRn9W2xd4992LAee6iEioYdO6MmocMcz4LoSMthotO3i5/lEVvR52bBKcNVoldws8e20g1z44goBA2LxG4PXAHxMlegxU0DRQFYEkgzW6XnvJ5YTE9KO7njN78PHhX0MLb67o3E4EIyUvcULDuvc566dTSM1UqSr1os+t5fvLwyiz6mmnSnSTVMIEhO2tQmyhenlWcyMpGqVRXmwVZeTk5GC1Wln7czwVDh1Xt/fwemuVz7wyNk1ioQIhGgyRlHo63V6MlRXaSSqBryZTVuHlxwQz7VWVEdEqLT9xkSA0KqkXLGubodHZAO+/ZWDFAomQMMjurDD9G0FttcJdL7r89y35GpVbXXpCSjQ27xZ07KPRRdIoXibAo0cSYFmn0k7diTG7ju5jN7CnJghFUSgmmAU7JXI+E3QcVsu9595PC3URqtwTF4G8Rgt0bpl7DQf37z4ROBELxL9lAWrqPtdw4jf2w60BjVG9fVlKX+3W8UTIZVn2O9JQT3f0ZYp2795N8FZB2wlmnF37YAtfDN46cOpxJOgJSlAI+uRu0AQbFl/J1S+9wow+XxC/LJvN7kB2hFYjV5tp9fkwxrbdxozMP1hKKlWtFxM9JYsh8yvQJtlpPXgGcSVGostW8ovoz2ebPyZqUylC0ygJqmHRq2lc8Ww1hhpQzh2MvHQN7hfvgeBApBl/IfYUg8sD8QfT7n3360TgzMZ+dGiOuXsk8M0lz9DA+jr53ZXsKSrEc47iNyTFpdHIkkSjXXZTjKjZAYhdLiSDQMypIK51BsvU5eicVeDOxXBXHq452RChx/lzJokvp7GtKpLNxVY2vQrCpMMUpDHyLcHftyXwyZuD0aJshM0NQrY/SumWGKZ9Oxx58SDy400MjV7Ctr9S6dBC5Y+5gyicm8ElLy9lzoJ+/FzUBcEu1j3xE9PvW8V7d1vYEGTkjrYf88hLEVyQ8wiurTI/PrmO6wGv18uld9vYmlED77uIqJYY120GFzz+EHm748hb05HSoCqCJozk3k/OoyB1IeFp36B/ewcGTxmaFIKiH0MVVXyge4V+V/ajuzrqmMejYZssu92OEILw8HASExP9AkwnAg1bZc2cOZM5c+b4W2WNGDGCF198EZPJRHFxMenpR2n1/z9CU7DJTmSAuzE0zEorioLT6SQvL89fRuUTZDzdnOnDoSGLIzU1db/A+86dO1m3bh0BAQH+pGRdXR1hCRYsOzNYMj2MzcshLFIjNglqqrwEh0psWiWzbZ1ACA29AZw1ULQbWndR6dxHo0PvvTXWEjzwmpeyUli/QnD/xTpqagT3v+Kl5+Ajfw5OtT34VDqXI8EZWvhhUKPBJ0o9rfMJeV/gQCcgFQ3d9zZa/+TAYPfw2Y3xRAiNmV6J1ZrENZqTUFTqAFP9CRIVFYVer6esrIwdO3YQl72biJoohAFciwK5ND2U3lFGJrh0bJ8jISVrDG+7zzExCsgWGmSYWKNIzPHKFGmCDnov6XtrtI3AXTovJkAvYMQlXsKjZLoNUFm1SEfuZpmVYdB7aP31eL1eshBcJ8OKZ2XezZWJflQjJFqj32KNoj2t+O8f73DH1AJuFFZmvfouFSERfDNYh96UzUJvTzbN12Gao3GezkRKj0dRPR+g6sayRRrOUrdMgnryFvYTtUCcbhO/MZwONddH813H0qajKWEymYiPjyc+Pr6eQm6xIX+9mw6Rbflpwi/8lFXOgw8O4HvXz5jrdPzd9i7+DlKx3fUGAsFbzmC6TgzC1LaQuC0teOOuVrj7rmJ3ZCm3fTiJkYWhhE8exfzb3yZ3UTtuz/uanFkdGWafTk9tETeyCKu3sr7BjyRosbSWz+/Kx2kIwpTaCveztwP4M/Rqq8MbuSdysz2ZG/upRKE8EpxI5tg/zamUlBQiIiKw2+3k5+ezZcsWQkJC/O1uDqL7CoH7/TR008tQI/QYHsiDYBltaVtIMdVnxVNk8vLy/MJZkUEptA7wUFGXR0tPDcrlkVhuD8e0PYBP9+ygLFBPYLcAagx63rwggw7OBxnaKYo/vRYeff07ura7E7GsNdzzHE8v/gSdqCW77zbCOrXj4ZRcOoaksPPe9ciSCfOu3vSb346Ow2aTtMuFPqoab00wIemJLFu2jIqKCgICAkgdHg5/WzCudHLVxZ8gmUvJ6pjNDY9Cy04RVHw6imhdMIZxt7BnkIpc9SWBznlsyPMSFLyWxcmL+STqE+bJ85jumn5U4+Ez2m02G9XV1YSEhBAeHk5ycjLBwcEnbB41bJU1c+ZMVqxY4W+Vddddd9GjR4+DWmUFBZ0MmdPTB00hVHiinevDlViFhYWRmppKWVkZu3btQq/X+9eGE9Uj/WRAlmXMZjN1dXX+/33j6vF4/LoZrTq5qbI7iYzV0WuIiilAQwgVZ51Gr6EKm1cbSEiHumqVglyJtUsFu7ZJJGUoZLbZd6+DguvFzSZPkCizQYAZbEUCjkJ69FRzruH0srPPqIUfBgFAx71K4AHU969evUgmq4NKcJiGt3cwAcVuBvY3ohNOOiluPsVEPoICJNYVyrxgNtMnTOV+g5efvDLtowLoureHZKdOtdjtduoWlaKNL8QbIqh9NpSQpal45+uZHGtj0FthGNi/Zrlag2JNMFz20qsR+njm3tdKCwURMRqX31mvPt53uIIpQKNlh/o65BmKxExF5j6dh+tkD7H9VeIi7sLTrozHPvmKiJ0yPS6tY9jYe9H1cFK+4ivm3BpF9yGT6Byl8ed72Qy//UdWDr+IKrmEHQPngu4SvLoPAchG41Wjl4iTOB9UVfWrSZ7B4eGbw025qJ7oei9VVRttkXVg3fSJhhCCoM6RMCeCSBFD9K53eOaOWwmYNYCvXMnEZa9j4s4rSdWc/GxdSnloFZe98z6hv99FwXgrFo+FAbvuJjprNzOLwrlykoOe/7uGb9rUsaA0k2e2/M0ltX9QU/0zkiRhxEKASYUQGc/5g9FNnIM+2MTZHa5F/59QPJkt/AZQY3Vuvt8b4kSP478pk9HcaC5a+LGo9frEqzIzM3E6ndhsNmw2Gzt27PBrEkRGRmK1WpFlGa1jIJ6OgVDsQUs34eppoqCgAEedA8e75SiqQpijXhQrIyODoAFBiHPdXNZrA1QpuMbGoGZqyH9VoQ91o3Y04/6yI3/NlJhbGcZCZzDqAoHXDNX6lohAFc2QgtALbupXxs4wmYzr22DKr8XoKUMUBfC0+ymurbmKNnPsgMy769+lvPt6Fp0TgmrU08KQQnh4OG3atNmnXv2WB++8qei7z4INAXh7vsE514TWv/fKKMQNTkSbABKFAB5DVR8h21KJ3W4nbXsanWs7072iO1vEFv89bGzv8tV22mw2HA6HnzGTmpqK1Wr19z1vbvior3Pnzj2oVda1117LTz/99K9vldXcaAq7WpKkZmePHU2JVUpKCikpKf5srs1mY9u2bdTW1hIaGkpERATh4eGnfd29oih+wTO73U5tba0/0Jiamrqf4JlPdd8uFWOyOvhjWiKarpLOffW89Vg8IVaJHoMVfvtOR3iURlS8iiFAI6O1SmmhoKZynzOsKFBWCpGxKpFxgq79NTJaa9RWQ1UFuOrg129lqio0Kh2Cm59QCGukC+mp6FyfTvhXOddNvYDUiRpS9OtpqbZEIoRVf8lM/1pPUYGH5aqEt1jPA3fo2B4mY9Y0ooTgZslLoZBJLNXxwX+NOMIkVj4F2zSJxZqE3aURnquRlKFhNpvrW1wMiKFseh65bQ2s/iuAzRNVahNXsGfoTObmd0Ozauy07OQy5TJCCGGuKvGFIjNEUjELL9vrBB9eq0fWwbOfudHpodwGT99oQKfXePX7+tf0BuhytsoiVcKyWWP6Zxvoc9nP5LW5igRdIl0ucRDv/AqhwXOXLmJ5bW8yrL9i3lKDPjEWQ79gWmycQr/hj5PsMvGh+IwwTw2XWCtZMu4nOsiG+sCYmofOeR+qfDapxpuadEyOFs29QDR0Tk53+CiDHo+nyeiDzRk1b2j0+9Sli4qK0DSN8PBwAgMDT5qyaGNQFIXyinJsxZVseP1Tem7I50ZnZ4oDVIwRBow7zER2WUGnXRpzQ6uIC6wg4OL3KC59ioTgJaztshW37OHxW9MYN30ndaGf8R/9nZj/imKVx8Q4dRahVFGnGZjbfhDdH7kIY48IiAhFuf0yAAaGJMLg+vPx3ZGGTrbXWx+I892vhs72/5fM9emIpqKFH4kzfTRzymQy+esQfcZ0aWkpW7ZsweVy+dV3ZVmuNzAfcVBXV0dwQb1WQUJCwkG1wWKXCy1Ch/O3lqATaFn1zq1yWQRYZNRe9f3Wuw1QGTemhraT8igXetakRNGxf0vqAvLgXBmGqVxg2ndcLd2E96YolFCJssoK9PNycAfMRig6CiLOxtypMx32aic0+mxG6lHPjQSHGS0pDgwNSiuMElrb/XtmNKxJTied/p7+lMn1xviWLVtwOp2EhoYSFhaGwWCgtrb2ICM9LS3Nb6SfCJxplXVicarSwpuixOrAMqq6ujp/IG779u2nXVZb0zRqa2v9JRllZWX+YGJGRgZhYWGNCpweqLpfUyzY+jeYTC6Kiwuw2Qy4FI1adw2xySl06ScYeqFC0W7oOlBl4a8KeoPG4t8F7XsqjH/YwLJ5MoEhGuFR9UnBkkJBzlpBRmuNuhrBsnmCmipBTBKUOwRhkQc/H6fSHnw62tn/Kue6qW/+Mmk50/XTGOgZyBDPEEJblyD3L4ae0fR/agKRxSVw0X/4ITyCmt2CFKOXjokacUCNBXSdQeoF5+oU2guVq2Qoni74+Bc9A8YoDLmwvg5ZjdRz98fZKMDN2724KyUSxoRQnpJC+O5wPtE+oaS2BH1lCptDzqIw9FfcumC6M4DHPYHUVGuopV4CJT2znRJpskaiSSMoRGNHoOBhRc/TOg8BGkzaLfFNtA7PJsG4Vj8xOGQK0d4dbOMeftE6krT8LoJtNvas6ULuohouPP9FNE2wI/d5WnWR6fGkYJumsqoqkEs/Wo499WwWeyQe9AYw0DQQoS1Dcn+EUAoQLOJ52UYRRbyivIKJ41MjPRacSgvEqQ5fxsPlcjWpc92UQa/DKYump6f7o8Q7d+4kICDAvzmHhoaecAaDLyLtyzD5NtvsXy08ukdi/d07Ec+XoIbUEHLDe5jevpsufebxR5XMlJb5vEcdk2p2k1DXmyu+7UlhbTqdV9ewqLcdoycQQ8k6fix5ljJZ4T7eYLPckkRDCS/FP4duZDb9Ru2jXGoHiJM1xIHq2A3vrdfr9b/ndDr97/v+rrlwRi386HCs+69vbh4q69SUar0+Yzo0NJTIyEiKi4v9hiiATqcjLCyMzMxMIiIiGv0+aVk1hnHb0NKNuH5ttf+bBgnl/HD/r3oDXPW5Hl5JQp5ewcDhur09IfeuA3sda03TqKysrM8cnWWnvLwc0xYTcRYzOnktksdFp28V3BcM+8drVPV9cUYuQBMxR31/GqoP19bWsmfPHkpKStixYwewr46zRYsWREVFHbe695GisVZZ/fr1O9Mq6wSgqTLXx2sbH64cxOdMH2+JVUBAAImJiSQmJp42WW2v17tff3i32+1XCG/RosVRteb0IbuTRnCoHtUZx8Czo+jW3UNlVRkVlTV0H7GZ375MYdPaOly1gaxbDuuWmHCUCGKTNBLS6qit0ait1qipFGS18zLiUo3oBNjWXmLXdoGqwAU3qMQlq5jM9UJnmgabVgp/nTecsZ2PF00qaPZvqblWVZVvFB1ztd50VarJUrJQVIWCuDWUXfsbFbmjGFycg9HrxWyq4+I6la9f0THRoGP3ywodjBpJFo2u1yks9cJ2KQeHCCTwr1g2/CYjSRrRifvOVRJwo85LGYJerVT6PKkCWfX/h0I88Wyp3UKusyXLFagql2jFl1AWSaSlNXvq7Fi+fpf26sV8buhMiFfjnq0KpYUCz2VQLASVCKZ/JDP5G4W2t27EPaolv/58Mz11dcSp89jj/og50kekLfgPmdWzuHL9n/TfFEu14wbiWuURG3Ad9qKOeHJHU6o8SXZ1MoV/72TV8jIuf3MebeJeZJV7Ip3VWISyFFV/PjWGa5gtrmSn2EmWlsXt6u1NMj5HgzMLxJHD51w35Tw+3nl5NHXTRqMRi8VCSkrKfpvexo0bcbvdWK1Wv7PdXNkVX7sbh8OB3W7H4/H4vzcrKwuz2Yx+TRHSpgo6npXHK5veZY4jHHVbLKln/Y+FhjJmLrmOu6Tf6dh5ES27zif4qmdw50ehuXai6EqJKa5DFQJJqyWanUQqbp7rfAOLP3icv37vjrkQrr3Fe8zX4HMuPR7PfuJIiqL4763vMw3/b0qcmbdHh6Np2XOiW980VM51OByUl5ej1+v91HEf/dk3Xzdv3ozX6/VntSIiIvyOpBYogQZaxMEZoEMiwoBy1f68x4Zigw6Hw9+WKiYmhuzs7HpGGeCelYjhtudRxgw48uuVjl7pW1EU/5phs9lwOp2EhYURFxfnX69897CoqIitW7diNpv9ysOHopAfCzRNIz8/n5kzZzJr1izmzZtHaGgow4cPP9Mq6wSjKZzrYwlwH01ryubAkWa1fZ85UVnthmuZzWbz94cPDw+nVatWfhbO8aCqQuBxC3Zvr/89KFhPUHAUcfFR/PCGnvISGYPBRLC1jjpvHk5PNJkdFTLbyIRE6Lj/FcGG5TKLZstccIMbW5GE26kRGSd48U4TQaEa19yv8P0Heq570EtiukbuVsEHz8qYAuDlb73+az0zx48dZzLXNB69L0SHjgB6uIaj3yPQp0r00vVi0w9p5MzOYPm9HUjIrCYrMZbeisr2dJUdyYJvhI5FXpVrdAo6IEw4WCX9xataLOmL4ykrU8m89W9CelpBS/GfQ2/50ItfLLHEmmOZbpDooMhczUACK9vidrmpfrwCZbdM1UteynJUxAqVEc+plO6pj1D13KVygd5LrNCoM1agKkW0Vd5h1tM3oS5pweQ1vbj/hRKQr6K3qqCVFOKlkojnXyHkjSeYp+9E2c5a2qRUYJR3kZzZgpfnDKTsHYlkJZnAwFrSy9oxL8XIYn0N0zQHmYqes6XLsIpE7lDu4GP5Y1JJ3e+aNDQEzT9xfXThM/hn+LLVTTmPj3Ze5mv5fGL4hEGeQXR3d9/vOA1rPP9pU9fpdP4sUMMMcnFxMVu2bMFsNu+X1T5WI0FVVSoqKvybbVVVFRaLxV+PedCx7R6kRdVoUQa8SU8xcfB8Jn9wFpav7XRMX035S0MYYqll2bgZjJYUtlmqaZlYRLUqcEoDCHGWYq2dh80QguYM5k/Rl54Bv5PiCSbsyzCeXyWQ9BIG09E715qmUV1d7TdiKioqCAwMJDw8nLZt2xIaGrofRdz3f0PH7FD12sdyLidj3p5u1DMfDkcLP9HCfpqm7dfz1eFwABAWFkZUVBQtW7bEbDYfNL4N56vvOSwsLGTz5s0EBQXVz9e4CELWtkUYj+5cfc6rz4Gtra31t8lLSkoiODi40evXWmfimjfhmO/FodBwTfJRSE0mkz8IFxYWdpDD4KeQp6fj8Xj89ZwNKeQ+Z+NoqeJer5elS5f6a6c3btxI9+7dGTFiBM8888yZVlknCU2RtDqSPfifGCxHWw7S1GiY1VZVlbKyMr+jvW7dumbNajfsD+8LMoeHhxMbG7u/5kITITlT47anPYRa941ZZRksnCnRY7CKJENMkuCPScF06Z7FDfdXsCe/ko+eDWPTWgcjrspl2dxWFOaHYSuGT14wUpAniEtWqakCswVqKuv37gpH/c+IGI2ENInkFvV9soU441wfL/7fqoUfLnovSRK3C5UyATlTTfxvikzlOXDVKB29I0OZbZT5ulscxnDBI5qHZJ3GtQ96+VsR/OzVsU6Tecoj8ZzeTaTQ+EltzRpvG9pepdGx71o+6nMPf+ni+Nj1NRMVLz0kA5kN1iuXE2QZdAcE539UdVQgEPowYiJCmW+VSW4rqHHAOM+tPP1EGs5aiY2m7Zx7TS23PBtDdgcLQVJ94/kfZhfS77zvCA6qYvPyFEJEDUktt5CzMY3YwE6MMxZz7/IgRo/cjjdxFzkvfcOTAf/jHd3PBEuhuI3Po4ko3EECvbGW5197AWtUApb4B5GkT0jX9Lyte5vVuhT6uQPxer2cI85hjGcMsiSj7VU0/0X+hU/kT3jC+wS9tF7HPfaHg6Zpzb4ZnI400sbgM+aa0rn+J0ragZv6Sv1KlspLUTWVnt6eTbKpN6xpSklJwePx+LNk69atQ1XV/bLah6PEN3QcfM6DL8qenJyM1Wr1//3n8ucskZbwtOdpYmhAExWAS0WsF4T/3ovawUYGLV3DpqWdKSAEWbLwwWujKRtWzXP3/krchX/y4tI0Yvr/zYbyJF6d/Rp5CSXc8WZ7Cg065v6yigs/6EHrP/fQq0sNunYG9hTq/b21D/dsNszw22w2PB7PERkOBzrZiqL4X/e9dzhxtH/CyQyKnY4OdsNWmP9E4TzSANXRwO12+x1Xh8OBy+UiNDQUq9VKSkoKFovliL9PCIHFYsFisZCamuo3bm02G6tXrwbwZ7TDw8MbFfBqmGGy2/dSvU2mf6x/bE54vd79jHQfmyYyMvKQAYdDoSGFHPDXY9vtdnJzcxFC+FuhhYeHH0QhP1yrrAcffJBhw4bVt1H7F+xrpzOMRiOVlZXHdYxD2cYnmsHSVJAkqVmz2qqqUllZeVB/+PDwcNq1a9fs/eEBElL3jZfXCw+PM7JljUR6tsp7v7p48loDhXmCuZP1nDUymFpLCM5KA+6aSFq2NPPVi8FUlXtZtWotwtgCl9OKY2sNF3faSa/HWpLUUsMSqtL9bC9fvaVn7tceHm77P775/XweXxLME69XU7TdwCdPRjH8IokLbjj5fdJPNzv7/03m+mij93ogCLBFarj1UBsO21XBtQMUug1QmeSVydcEUXsdRkWDd7x6PBp0kVRUYOVXMnlrrdzwcGd+q5b5vVqg69KCMF0kJkx8pW3nv6qXDqhMkloDUF0JL95pIMCs8cjbHhoyTO7VecjTJNoIjcmqzKdemSEPqLz/oBedPomRlwlW/SXIvtLKi5GR9Hdvp3Jp8V5RlHDClFDmzb+akkwjddeEUXCeh9mL+/L97a0IDXfQ6+lfqX5/KZt1QejMo6mWL0VWTYSqK/DixImNLXIZX47qgBi4kwSxEsQqXNr9dFW7AvCW5y3cuAklFMQ+49ur7qOSFkgFeDQPRRQ15SPQKM5E344cQogmD5I1Rkk73KY+SB2E3qOng9ah2Xqy6vV6oqOjiY6O9hvhNpuNgoICNm7ciMVi8TvaISEheL3e/VQ/fZTN8PBw0tPTDxkpXyWtwi7sFIpCYrS9znW4HrWzGfmLUr5YMp4rJvbhiiILf1y3m5qMIDIyNpE/sIbfHWW0yB9Cwh9FhBSGUbqgG3XloWxpIXPVOeOZ1Wodv1XeTFY8JPZry7ZwlZ6bs7hgUCD2inonJy8v7yAj22g0+kVXbDYbZWVl/tr01q1bExYWdlSGQ8MNzzeWDemEDZ3ro3G2T0RQ7N8Et9tNeXn5fntwczrTXq/X3wLK4XBQXV2NxWLBarWSnZ3dpBoHBoOB2NhYYmNj67MtFRXYbDby8vLYsGEDwcHB/rnqdDr9Tr4vaBYdHb0f1ftEoTEmiI9C2tT3yCeO6svsVVbWq5AXFBSwadMmzGYz5eXlbN++nbKyMubOnXtErbLO4OSiYdDsWOFTCz/ZrSmbC0eS1fYF4w61V/u6GvjWMyFOTn/4xiBJEBGrUWZTGXW5F50OrrzPQ0CQjktv86KqEJOocfeLbgKDISoqnAGjZHK3Sgwf054p75uRZYWbjW/TvWIFOyqu4cPnerN1TSiSDJ+9bMBZKbOoJpiKwFrcVjPl17yKxWHBK3UiL2fvnr0+B+mHGaiXjkD7h7adZ/AvzlwfaQuRf1pIOvZWeaeXm82aIEXsO/65OmW/z8kCOksK1ctreOLlPMS1UTy7LIrKMkF0KXhektjjloh+PpBXU98kRAh+kxejyltRJRco9c513lZBTRUcGIzXNIgVGm2FghDQWShskaCzpPKlJjNAVbnv5fr7/z9vKBWKDp21A7091WxcU87G/Eo635lPy8pKgoNlyKjmWyWdrKwV9Hj0Z5zSo2R0GsQ86U8qXr+Qz1dnsf6a5+jqjOEO9wSGSYVES58R7prCRv099A+8DY/3CTQRBWLfPQzc+5+P8d2Y4X29+3oGiUFkapkoktKkdNIDcca5Pjo0dZDM51wrinJkddMYGcUoTkDFgP8cgoODCQ4OJi0tDbfb7aej5uXl+dcQo9FIREQELVu2POK6qv94/kOBKKCt1nb/79zpxhsMm+PzyEtuQeuqALpXJFFTuYLQXbV03LCZby+6iG3dltDfoWddlIP7h5TgWH0pr124ky7t5hGQp8ONoMOWnljcXaClgJb1LQMTLGYSEhL8RnZpaSm5ubls3LjRPxcsFgsxMTG0atWqyZyOA+dwwzl/oKqsb909VDT6zLw9OhQUFDBnzhwWL17MiBEjGDVqFElJSU1mKPueJZ/jWlFRgclkwmq1ntAWUEIIPz06NTWV4uJiCgsLyc3NRVEUP0slOTmZ+Pj4E9aWyofGdAqsVmuzUUgbg0+FPCQkhMjISObOncvixYtZv3498+fPp6am5qS2ynrvvfd45ZVXKCwspHXr1owfP56+ffs2+tnCwkLuu+8+VqxYQU5ODnfeeSfjx48/6HM///wzTzzxBNu3byc9PZ3nn3+esWPHNvOVND+OpwtAwzW3urraX6LUnEG3k43DZbV37Njhz2r79nBf0NynwB8eHk5KSsoJ7Q//T5AkePpjN5qqof95JtpvgYi4fgy5QKGyTHBVL4n+yTlc9UYYcmwYrz6g5+ePdej1GmkRLjzVZmLcBXS5MxuTJ4K2L3+FK247ufoL2bquEElph2w00OfuYNKi7bz1ZAAvlI7koU5fct/j1aRkmXC5BMYlaxErNiISY6DWidY+C84E4w6Jf1Xm+lA9bo+mZsSrga7BnFqiSAig+wE10aWFAiE0IhqwPasQmHa6qK5QCN5cy81PeHCUClJbamR3UAkt0hgX6SGeeNCgY1kveoTWcDWx5KmCbaWCKS/oEMB9r+6ftf5dlXjHq2es7KW1YQkTdRNxSA5Cal/nC28Y2yWV5w31i3C60AhFo/ILwWsrzaxYGEiJkoQyrYxLA3bSzVVNJ93fdFY/YFjQHKy9ZarF+ZjVLjy9/RMe+dHIB51qkS53Emn8mC0M4zItj+6utRjVOjRKQFeM3vMKmgjHLX1XX6TxD+Pj+2nESJaWhcY+o7up6KQH4kzN9ZHDl7k+3nncMEIOYLfbCQgI8Nc1noqbemMCRxEREZjNZr9y6Z49e6iurvZntf+prjGccMK18INe9zydiHDEclnmnSgh1fBqMIXaL2xe25tSLYHQfgbGFW9m4r2/0d9YSIY9nHn5o+nTX09Wx2HIwdF0D22BvMWNZtWhygefw4HZaaPRSHx8vD8T4nA42LZtG3a73W+MHIuy6eFwOGf7cC2/fIHSkzVvTzf6GcD69evZvn07U6ZMYfLkyTz22GO0atWKkSNHMmrUKNq3b39U822/3qt7a4IlSfI7iq1btz5pmWDfPPU9176WXaGhof5M8Z49e9i+fTthYWH++Xo0tOujOacDKaSBgYFERET4dQpO5Dp3YKusv/76i5SUFIYNG8Ydd9zBjz/+SEFBAcHBwURGNtLctpnx/fffc/fdd/Pee+/Ru3dvPvzwQ4YPH87GjRtJSko66PMul4vIyEgee+wx3njjjUaPuXjxYi6++GKeffZZxo4dy8SJE7noootYuHAh3bt3b/RvThccTeb6UAml8PBwdu/ezZ49e/w95iMiIk54WcTJgC+rnZCQQE1NDbt37/az1KDeb7FarbRq1Wo/TZFTDUKAVFCE7tUJaCo8LQ8CIRh9hYJnZynTN4aSVLmQgdNGs/ovCZ0BYnSlDJ32OG17dSVi2yrCdsVR1KYP8cZFtI5SuKfgS3ZMDCbZG8hWdwaPfNiRtpm7KNkTRER0HMEfPkl0VADFeV5uuzKQtIxzePLWCOS1W5AffwvlxgvRzh209/xOzft2MtGkauEn2rluaMT7Iut5eXl+UQOdTndUNSNTFJnvvDJ36bx0l1UKVXjOoyMI+EhyEyygggpW1Gzmi496I0sS793vxrQ3GD1cVvnsPAfTsrYwptVQdpok3grVca3qpeudCmtUibC9DrM82UH8q2X0vWo05mvCedSro8AkaJuikR2qEmjZd14uDT7w6tisCkrkQmbrxrNFbKGd1o4ucgUlWgij5fpMuqIoLKhysV3TU/y5wFzpxlZoQRMSKWtCOH90WxIk6Of8FsW1gPm/X4nuz46ExDrJ7/477phaLv7kK/JiOvOJ62XGSRMIrXgHbXI61UNKeG7+l8Sb+/HkGBugAMc25kdCJ20KReIz9NKjw7E414djiSQmJlJYWMimTZsAiIiIIDIykvDw8JM6Loqi7Ef19kWurVYrycnJjUaufQ64zWYjNzcXWZb368N5xMaKVYdm1dFGawO9NbyGarKqz+eS/FfZnRVJlz3paPmBjNqegaVdBXJ8Jj3uz+F+z3kEI6PSpf4aLtv/enytS2w2G3V1dX7HwqdS3vB6fD05fdezbds29Hq939FujkxkY872gS2/fO/51oAzGewjgxCCjIwM7r33Xu655x7sdjvTpk1jypQpvPPOO4SFhfkz2n369Gl0bH2Uap9D7fV6CQsLw2q1kp6efkL7Kfvgcrn2C3r5MsGHEkbzOdtZWVn7BZi2bdvmZ580zFwd7znZ7XY0TSM8PJz4+HjatWt3wlpk+eBrlTVjxgxmzZq1X6usDz/8kMzMzP3uUXr6yaN0vv7661x33XVcf/31AIwfP56ZM2fy/vvv8+KLLx70+ZSUFN58800APvvss0aPOX78eM4++2weeeQRAB555BHmz5/P+PHj+fbbb5vpSk4MjEbjIffjhnvu4RJKqamppKWl7cdi2rBhA2FhYURGRhIZGfmv7E3u0xPxzVOfDkRSUpLf/vDtfytXrjxpCuRHCi0hGuXSERAcyCCbSmGe4JyrvFAoWDLBTuvKZRh+tZCadTbF+YLbU34huiyPigFX8Ojq0QR/nkeRO4KL77iD+Suiyd2gx60ZqFXNqLKO4NJaBmtz2G0O5nLlS3a9qadqTH+Cn1+Ad9s1FAdGow3tjSoJpI3b8SbHojVo1dmUSbF/A5rs6TEajVRXVzfV4RrF4WpGYmJi0Ol02O12du/ejcFg8EforFbrERnyFRqoQNXe37/36nAg6Cgp+HzdqfJUppkXsfyCbmjmAPJ09U2zoJ6i/UrAb3zV2kVH0x62erMoVQWbJYkvvYINmkQkGv11XmQVQiSNDE2ljaTSQaisMujY84LGm0bvvkSw3YOrQkGLN9BKUhksAplU+wgDZAdX05pH3HG0UFxEFu5ild3OvClGykvDGHeHRsvnzDgqvayuXoc6rzMdeur4VdVxrfCy9vN2lC/NZsHaUdQVh/Ni6mYevv8VzN5yXq3cQUfbdqqKOnN+agGXKdv4Yssw3tvVhWVThrNJk7hxoJ5oyy+A8R+z1v+Ef6KTHsrJPpIJfMY4PzocaZDMt6H/E0vEt3lrmuZ3/ny1UD4xn8jIyGY3SA+X9TpSgSOTyUR8fDzx8fGoqnrQ9fgUSyMiIo48CywJ1O4WZLqS0fchMhe9h+uZMGQpGGvbe6kyQlu5Ny95Dj5WQ8qbw+HAYDAQHh7ub290OONACEFgYCCBgYEkJSX5nXNfj/B169b51ZTDw8ObRcTlwACbx+OhtLTUnwWMiYnxU32PJ8D2/w1CCCIiIrj66qu5+uqrqa2t5ffff2fKlClcf/31OJ1Ohg4dyoABA/B6vTidTjp06EBNTY0/wNS2bVtCQkJOeG/4hs+h3W6nurra/xwerZiQ2WwmKSnJ/3z7hPs2bdq0n5hYw1ZfjaGxjgC+c+rQocMhlcabCw1bZc2cOZP58+efFq2y3G43K1as4OGHH97v9SFDhrBo0aJjPu7ixYu555579ntt6NChjdLHTzccSAs/HhGykJAQQkJCyMjIoK6ujtLSUkpLS9m6dSuBgYH+vfhUokQfDRpqHPhEDAMCAggPDz9kOVdDnYJjqdU+oZAkvPdcCcD1q9ZDtBUtKIpLnwtlXNeV6P+7DeVXHQ7bEJyVCmvWWBhqcrDFmEKZMRiPJ7h+n61zkNkvGVtFGB0cC4k0lJEQ76Z//vcYrSH0ujkJ3eRiqvtfQnF0NFY5l8fTX2bH5UO5cXgvKux9eOHLTqRlGf0B8KZOiv0bcEr3uT5ce4DGeu01tpFu3LjR3zPTt5EeKiNzmawwUFaJo37RSpU1MtG4TKf4/cf2anuKdMW4M7xsVzVWCpks6rPGdk1jxapr8CwLYnWYxvkXKGRKGq2FyjdeI7UaFMibudbwApecfwnD+g5ieLgOBNyh92LfJIgyaEit9p2T8ZrtRFYrvPNRBlq6iXWqBZOnE5W1tWzMKSQ/oYzdcgnhbjcrk9tQ87tKheLgvroqchYm8dNvNjwTPuCuSzvyVt1t4JHpSQEvjL+YKpdCy+wSLh8WhK1TAHWLOuC4/06+Gb6QhMA8Rl38CauCouhTpxIaoXF2WjTl+go2BYYyIUDHQyKsSce74fg2/Nmw7c/RUsjPONdHh0NpJzQW2PKNg4/mfTiWiBCCsLAwwsLCyMzMPKg1VlBQkH9zb6oMWWMtNHzR+qNV5z0QPoqs1WqlRYsWBymW+hxdX3DviKLgumjkpBCCYuJRozLwBKUS0uDthg69zWajtrbW79BnZmYeF637wL6iDbNza9as8fcB9n2mqTIdNTU1fiOvoqLC/xz4FKYbGpGwb76fiZAfOcxmM2PGjGHMmDEoisLNN9/M9OnT+eGHH4iKiqJ9+/YEBwfTr18/EhMTT+g9bRj0cjgclJWV+edOWloaYWFhTcKgkGV5v0Cf77nztfryUbl9wmg+7YWGAkcREREkJycfUqG8OXG4VlnPPvvsadEqy2azoSgK0dHR+70eHR1NUdGxi5sWFRU1+TFPJTidTjweT5OKkAUEBPjtZZ9OQGlpKStXrkSSJP9cacr+6c2BxvZ4n4hh69atj3ifOlStti/YrNPp9tvPTxilvqoG3f+mopzVBa11BgBiwzYM9/wXAgNwTX8fAGV4X5Ak1E6teNhVx3fvuBj921wq9GEYYldx1T2JdFDzCE+MJHDwWSAEtzzoxnDNFERtHWpEGJJqwf3mI2jJsSjXjkUPJADikZtpM30+u6tbs2l5KJqm8efkNRT29vhtgob3pCmSYofC6bTfN2nmuilo4f/UIutI6qYbbqQtW7akqqqK0tJSdu/ezcaNG/31RpGRkfsZpLKAePYtYOfICufspVvXVsOfSyTmt+yEOq8TN7dX2dVKYaC8T9hMwUZEnUyrWhf5ESEYhKBVtcqyLRLeVqDJTjbIP1CmhrKHCoiofxirymHFnxLlH0hUy+D83uunmqupRqTtLsIMLkp3F2O12ZAMacwJCmXXBwkYdJV4PniducH3Ua0GkfrMYlwFS9E6xFL0fluCtRBGu2LoWvslN1FCS+pIcE2n1XWvct2Ap9FHu3k4ahafGFJ5fVk4UzrmMLjHFrLbzOCDsEuYIK7iVrOTq2/+E5NyH9k9O3GNOh7Thl1sNAg/xa45F5sDo18NHe1DKRI3pJeeCKPjdJr0h0LDmuvmbufjy5omJyf7N8jS0lLy8vLQ6XT++Xk09E2f8+nbaBv2nG7u+seGiqUNKdo5OTn7UbR9We3GoEnxeNJegzc9YK4/z4Yqpna73U9FT09Pb9ZN3mg0EhcXR1xc3H5tjYqKiti8ebM/IxAeHt5oT95DwZcF9DnUPuX1mJgY2rZte8gMYsP53pwaDf92yLJMcnIyL774IgMHDqSmpoZJkybxxRdfcOutt9KhQwd/nXarVq2aZb64XK796Jq+oNehShiaGkLsa82XmprqZ0wUFhaya9cufyDfbDYTFRV1UgSONE3DZrMxe/bsf12rrAPPuSkC4M1xzFMBa9eu5c8//+T6669nxIgRDBky5IiZmEcKvV5PTEwMMTEx/j20tLSULVu24HK59ktMnUzVbNgnrOhjkTRsk9WUe3xTKJA3BeTpC9B98D3S3+twT3geAC0mAi3Kitouy/+5Wq8HW/s0SovyKStbR+8LzLhvup2ayEj6hYZifOJtpL9W4b3vahTfuep0eG+8AN2HP+K98UK0lHikFRsx3PgfvDdciDJuVP05zFyIPHsRPcalMXhsIqkbfuf6ed9QOvROSvR6P9PNNw5Wq9Vfv97QVodDa6z8G3HSM9f/1B7geHvtCbFPDTg9PR2Xy+WnHu7YscNPH/cZ8of6nnlTZT5aqWNztCAgCFr8pnF9W+9+n4kUEfz85nJMO2XCXkgHQvjmHR0rFsqk3qyxY8RcllNDTc0zTNTCces0bpC9fPqmnp/nyTBY4zJFwWjaVxNqu8VFbnkFYms+EWFhRIWHU7E4iqFFv9Mit4wJ7cayu/Z1wiR4Uu+hd/9sciU92Vo2I153U7bCQ9xfXbDHzMRpjiVVKkJTVIJuDyBejWC3qKCbOh2DZytd2/xG2xcmYzCZkXAz1tCZai2YIbIZkxyLwaUnKzyLubKZMmM0drudbdu27ae0eCRCT8eLQ9VrN6ZIfDr2rD2ZcDqd7Ny50y84dSiWSFOiYasd30ZWWlrKpk2b/H2XG2OdNKwb9lG9G/acPhkZJtg/C5yVlUVNTY3fGMjJycFkMh2y9lNVVSp01dj21GenfVTdiIgIUlNTT0rda8M1NDU1db9ati1btuB0Ov3GRnh4+EHn6Ovv61t3ASIjI4+Ivt7wHBqb8wdGyeH/x8Z9PHj88cf3+/3hhx/moYceoqioiGnTpjF58mReeeUVYmJi/I52z549j7kG0Rds8j0zDWnVJ0P0y4eGbJOysjJ0Oh0xMTGYzWY8Hg9lZWXk5ubicDj8WhHNOf9UVWXNmjV+uveKFSto27Ytw4YN+1e0yoqIiECW5YMyyiUlJQdlno8GMTExTX7MUwVvvfUWl19+ObNnz2b8+PHceuut9OvXj1GjRjFq1ChiY2Ob9Hk8kJHlY3j4WrodKjHVnGgoNmq32xHixLbJOplZbaV/V6RVm+oz0z6Eh+L87tX6loQ5OZSWllJbW+tn5bVq1YqgddvQP/A2njsuRz27J2p2OtLqzajJcfsdX/fVNOTfFoLbg/uH15Fy8hBFdkRBcf0HPF7kJWsQHi+WYW156jYP+tsXIu2QCIsIJzSxXtHZFzB1OBxs2LABj8fjtwmsVisWS31h7aE0Vv6Ne7bQmsj7ePXVV5k/fz7ffPPNYT93OPGjhhTTE7HZ+ujjPqPvcPTx3K2CSd9Uol5YQWRhMsNaq0TGHnzr5B/tSPMq8TyZANF6Vr61laLv1pH9/mhKO67hT20Pc+vO54Kn36L3kpUEfvAE5e8s5ZW83lQ8lsCr0Tspa0CPs8Um8HZ0Gj30Ei+Y6rPk/3tdZewr5xMcIfHcd+/wU3oqaULlJ+PBzIHad4sp+l8uabctwnP5NehFCDuKqyndsIV+Pa5mFcOIUWcSLmnodKNQ5T6oUmeElo8qddm/nlrz8KnXxGxV5jWDh/i9rcnq6ur2E53xLX4+cYgT6eBomrZfPVF5eTmdO3ferw0FNN0E9j3LJpPpX7EoZGVlsXPnTlJTU/0beJcuXU4KNcxHGfWNpS8TbTab/RFst9u9n2N3StRGHQYNS1ZsNpv//H21deXl5X4Kqm/+nOqqrg0DHA6HA1mWCQ4ORqfT4XQ6/f19fUZZSEhIk47Rgc72gUwW37+PVKPB13rtVKfZNieqq6uZOXMmU6ZMYfr06QAMGzaMkSNHMnjw4EOyL2Cf0njDoFdzi+UdCfwB672GcV1dnb+s4lBrh688orS0FIfDgSRJxyZi2Ah8jJA//viDmTNnMnv2bKqqqhg4cCAjRoxgxIgRJ6VVVnOie/fudO7cmffee8//WnZ2Nuecc06jgmYN0b9/fzp06HBQLfXFF19MVVUVv/76q/+14cOHExoaetoLmjWEpmnk5OQwadIkJk+ezNKlS+nUqZN/n87KymrWZ8XlcmGz2SgtLcVut2M0Gv1relMGyHwBdt/6UVNT4w/GRUREnFI14Q2z2g2FUX1rRFPaIw3p+3a7HdhfILZh4E337rfoPvsF5bzBeB676ZDHlCb+jv7Jd1AuHIr3yVvQP/k28qQ/8N56Cd6bLwavF8NVjyFq63B98QIEB4GigMsD5kOzzA5MeviCNr49wBcQOZChfCgq+eloZzeZc/32228zbdo0fvrpp4PeO5T4UUOK6fFkp5sCvo3OZ8hXV1f7J4kvSmdw3YKgCo/hMTQpG6FuAYLQpPhDHtc49EZE3h48L96NMnbw3u8C94BrkCqqYUBnAn75A9WVhiYU1NAiCj5/itDWWQQGBrJek7jPbSBDqLxp8KDf+1zJX06hylHBulvH0VInqAQKNInukooQ9d+xeLbEW38LLo14iIGjJqKLupYAwwN8+PQu2rZ+gR59FzBl9vlM/3Eso55dw8iWYBIVrJHuxIaOsw5oPwZwscvALk3wvN7DwEbeb0z8xWKx+A2Y5hBG8rVD8Y1dTU2NP4rXUKymOeikvmf6dJr0/4TKykp+++03Jk2axG+//UZgYCAjRoxgzJgx9O3b94Qaxo3RwGRZRlEUDAYDUVFRREdHn7Ts17FA07T6qLPNRklJCTU1Nf5rMplMREVFNbnB0tzwzcGSkhKKi4upq6vzX5NPLCc8PPyEXFNDZ9v3s7GSkUNpNJxum3hzw+v1snDhQiZNmsS0adMoKChg4MCBjBw5kuHDhxMVFUVRURGapvmNYo9n/3q8E5XlagifkeczfH0Ba99edMRaCHtxOM2DIxUxPFyrrFGjRtGvX78TrjZ+IvH9999zxRVX8MEHH9CzZ08++ugjPv74YzZs2EBycjKPPPIIBQUFfPnll/6/Wb16NQDXX389WVlZPPDAAxgMBrKzswFYtGgR/fr14/nnn+ecc85h8uTJPP744/+KVlyHgqZpFBUV+Vvv/fHHHyQnJzNy5EjGjBlD586dmzUg3jAxVVpaiqqq+zl6Rxt0ajhPHQ6HPxh3wmucjxMNs9oOh+O4s9o+5oDNZqO8vNy/l/q0IQ653tQ6kf5cgdqzfb1DfDgU2yEyDCQJsWEb8uQ/UK4cg5awt8+wx1vvUBiObQx8PoGPuVRZWekvK/OxJHzP6oG6Sg33a58tcbrsy03mXH/wwQd8//33TJky5bDiRw1ppqey4eirdfRFrI1GI+mJm7CG2NFbbkcWFejdDwF63MbPWPCbjqJdgrHXetE38D3kib8jz16M+6nbIMrqX0TKN+XwTZ2e4pgo3v7vB4Ru74q+ZDLuGC+3fPkmbbNTuUlfT8392CPzlaLjfFnhTv0+KvoYlwGHJnhN7+F1r458TfCi3kM/WWXVXxIv3W1gwNh3ueDC1ymUE9gQ/zLny+355Z1JtG33Gcmtsrh86HgK8nSIa7zMfr4NUUIwSkxjt0jlC4ObltL+j0eBJtisCgZIKtIRPOOHEpzwGTjHKoykqup+i7uiKP/Yw7EpM1wNzwP+Xc51QzidTubOncvkyZOZMmUKtbW1fkNwyJAhBAX9w8J9DGiMCdEw6mkymVAUxe9wN8Xm3tzwzQPfxutr3+MzzH1Ccg2z2r5n2jdXTjWj2zcGvs2/sTHw9dT2jWdDpys8PLzZ62th/+i4D4cKsJ1xrg8PVVXZsGEDP/30E9999x05OTlERUVRWlrKp59+SseOHU9YEKUxNCxZ8DFDwsLC/POoKZ+3xtT6G2a1fQbjga2yCgoK6Nu3LyNGjGDkyJEHtcr6t+O9997j5ZdfprCwkDZt2vDGG2/Qr18/AK6++mpyc3OZN2+e//ON3Zvk5GRyc3P9v//00088/vjj7Nixg/T0dJ5//nnOO++85r6UUwYHBsTNZjMjRoxg9OjR9OvXr1mp04dLbhyqzZfX690v4+vT3vDN09PJiToUGmbgfcG4f8pqN6x5t9ls/vvis2v/DS3TfCU3vnW6rq5uv84kPmaCqqrY7XZ+/fVXpk2bxs6dO9mwYcMp7Tc2RJM51+PHj+fzzz/3C2/AwUJkp8tNORCNRekiI8xkxn+FMSAVTPdwx7km3E544HU3Ga333dLNXpUPa1T62woIL9ztnyxB4RHcEZUOksw3RhcRVQqeqgqWbNuN95OfWD1qEEPPP4tsnWCeIvF0rp6+f6ic09LLZy8bOOdKL2vPFfypSnxg8FD0n/eoLLST9uaDJJoNlJXC83cYuO2+O0lr/Qe/SE/QyXAe+bMErz8E0bH5vP9rHauWZPLRhzrW3Cl4oc2PDJTKeFa7lh3IjNe7CWrC9a2hMJLNZqOiooKAgAC/8/BP4lUej8fvTNlsNr/wVVRU1GHr5Q93Pr6fxyq48G93rhtCURSWLFnip6Xt3r2bAQMGMHr0aEaMGEFERMQx3QPf/PI5YHV1df4a/oaL7aFwLJt7c8P3rPuM78rKSoKCgvwb6z+17/mnv29qavWRorGg45FSA3104YatUnzK0AcqjjYXGpvzB0bIfWv0v30+Hw/Gjx/PK6+8Qu/evbFYLOzZs4c//viD1NRUfz/trl27Nns5SUO1cV92x5cVOd5+1keDhpRzn/L9Sy+9hNfrJScnB6vVyvDhwxkxYgSDBw8+KeUr7733Hq+88gqFhYW0bt2a8ePH07dv30Y/W1hYyH333ceKFSvIycnhzjvvPIiOPWHCBK655pqD/rauru6UCwT+f4LL5WLevHlMnDiRqVOnUlNTw5AhQ/wB8ebW7WhYlldWVuZX4g8KCvLXT5eXl/u1R3xr/6msSt4UOFRWOzQ0dD9H3KfWflSdRk5j1NXV+e0/h8PBtGnTWLp0KZWVlezcuZN27doxduxYzjvvPFq3bn2yT/eI0WTO9ZNPPsmLL77oF0EZM2YMffr0+dc9GD5D3reJ+ujjtl1JeOrCGXGJjMtV69/sJ5hC+T06maGuKh7RufebLK+9oGfLMokX3nexLVLiZo+Bkd9P4f7/voPB6aY8LISAq88honUa7/7VlzkTZbI7qezYJOjUV+Xel/YKyHm9mNqciyi24731EjzP30WeKrB4vyPO8yCK1B+P8TOQZGxF8O2bOVw07lVisy5H1fXzX5ve9RRCK8ZtHA+i+VUhG8syNKyBCwwMxOl0UlpaSklJCeXl5c3SssmHhgb3kVLIfWJK/9+MCU3T2LhxIxMnTmTy5MmsWrWKnj17+uu/UlJSDjk2DYMsDTfahk7W8awbjW3uJ6KH54GZZ1VV/SyN41VaPTDzDZwQXYNDlcv47ufxZAJ9DonvOaitrT2ot/aJymrn5+czdepUpk2bxtatW8nPz//XG3vHA7fbjV6v368mrrKykl9//ZUpU6YwY8YMjEYjw4cPZ9SoUfTv37/JglwN51lDNoRvLpjN5ib5nqM9p7///tufnS4vLycpKYnCwkKSkpL4448/TmpywUfHfu+99+jduzcffvghn3zyCRs3biQpKemgz+fm5vLGG2/QuXNn3njjDc4666xGneu77rqLLVu27Pd6TExMc17KGRwFVFVl6dKlTJo0iSlTprBjxw769+/PqFGjGDlyJNHR0c26H5aUlFBYWEhFRYXfVgoODiY2Npa4uLj/l2usb0/dvXs3drsdl8sF4A9Ux8fHnxTh0pMFTdPYsmULU6dOZcqUKdjtduLi4rDZbOTl5fH5559z2WWXnezTPGo0mXMN9Ubt77//zqRJk5g6dSqqqjJy5EhGjx7NwIED/5UOiNPppLi4mKKiIiorK/3UQovFUr9wRUbxhzGYYTqVOLH/rb7/IgPlDsH9r7lZoDn5yWCgJEZw589TOffDr5GraohUvEiSxOrvpjP9Oz3nXuOl3CbIaqcS1KAJru7N/6F7+xvUTumUffcy/d1W7lIf4TptPIIQnOZlICIB0LufR+cZD+hxmX5BlXuA5sFQ1waPJqGapuCUMgEIOEHzu2F9XHFxMRUVFf57GRQU5G8VcaKykEdKIfe99298to8Umqaxa9cuJk+ezKRJk/jzzz/Jzs5m1KhRjBkzhtatW1NeXu6PWjscDn95QEN6cHOgoQiIzWbzCxL5qMvHs7n7smY+Z7qiosIfpW9OamzDmm2frkFDtf7jDSD4nF6fQ304ocemxIGqsID/+WhqWrxPHMi3oa9atYrevXtz7rnnMnbsWFJSUprsu/4/wu12M3/+fL8t4HA4GDRokL9O22q1HvEz6nPcfc+FTyCvIePpRDuuB7bK+v3335EkiaFDhzJixIj9rvFEtYM8HLp3706nTp14//33/a+1atWKc88995iFxCZMmMDdd99NeXl5M5zxGTQ1NE1j8+bNfkd72bJldO3a1R8Qz8jIOK59w7cvNZynPraVj4HWkGHmcrmwWq3+QO3JbvPVnPCVMfqScm6323/tERER/vWkqWq1T3WoqsqqVauYMmUKU6dOJTc3l4EDBzJ27FjGjBlDVFQUQgjq6uoATks6fJM61w3hE0H55ZdfmDx5MmVlZZx99tmMHj2aYcOGnb6RGa0KCKKmdl922ieU4qszdDqdOBwOVFX1G6WKM5KNy430G6lg2utHlJWCrUhgDnEhxm5FFRC0MBuLUUIuq0DYyqh56SfW25KIf/Ni4lMOM1SahrxwGvqUp1AjohgpzUEo1fwibkeWOqEYbtqn/K0WYnRdhlBLcJveR5Xrs9dPO/+mWiujr344r3nrJ/NvRhfmZh6mxuqnrVYrZrPZTxn2ZbUaLtQn8vlpTCTJR5MuKiri6quvPmHncipD0zQcDgdTp07liy++YOHChVgsFiRJ4tNPPyU5OdmvGH2iDc6G9UzHurn72BY+x9br9e6XnT4ZQRaforFvc/a1DjkatXG3272fEqxerz+iFoXNhYYMIYfD4XeoGvbWPtrAiKqqrF271r+hb9u2jYEDB3LuuedyzjnnNGsW5/8zVFVl5cqVTJ48malTp7JhwwZ69uzpb/PVGMuloVaHzWZD0zR/MO5kzbPDtcoaOXLkKdsqy+12Yzab+fHHHxk7dqz/9bvuuovVq1czf/78w/794Zzr66+/nvj4eBRFoUOHDjz77LN07NixOS7jDJoQmqaxZ88eJk+ezOTJk5k3bx7p6el+1mnHjh2PaM0/1oCor0TItxf7+lX79pxTvevHkcCnru7bl31ljAdqMhyIY6nVPh3g9XpZtGgRkydPZvr06ZSXlzNs2DDGjh3LiBEjCAkJ+eeDnEZoNue6IVRVZcWKFX5H20dNGTNmDCNHjjzmWs0TCUVRqCr7k0CepdiRzeZdY8hIXE+gJZaA4FF+AYZ3PDoWqBLj9W4Cqyr8i8e3b6Sya3MU599YznnXGP2tTLarglvLZF69eiPBUXqSP0kBj7e+J13HVrz3fABzJsqce42XK+7eJ2a2XRXUAm33Co6pKvw5dTcDyseid1hx3fkbOvV9dJ738EiX8uWnT1MeATdc5KXWDnqDl8AgG0j7KFzveHRMVmXe0Lm5xWNAA2YaXQTuHRoXLr6Rv6Gn2pOWWsvjup+++umSkpIjMuZ9i7jP2Pa1+zpQ2r+54atn8i0QAFdddRWvvvrqCfn+0wmfffYZ8+bNIzIykpKSEn799df/a++8o6K6ujb+0EYEAZEiFgRjkCI2SBQsgBHpzW40qAlqTGKAxLxRY4wYo6ImlhgxdqJRNBakioJdAQtCikDsHaQooEid2d8ffPdmRnqdAc5vrVlLz5x777kz3Dlnn733s6GgoABnZ2d4eHhg1KhRUvP413VyfzNP+MWLF7yRx+V0StsrJQ6nzMlN6uJ1ssUn5ta2uOFCgblFXF1LsAmFQly+fBlhYWGIjIxEdnY2nJyc4OXlBTc3N6nlrrdXiAj37t3jBRIvXrwIExMTODs7o1evXvj777/h6emJsrKyZq8yUZexVlUqa/To0Xz+dGsolfX06VP06NEDly5dwrBhw/j2lStX4rfffqsU1v0mbxrXIpEIZmZmePfdd+Ho6Ij+/fujoKAA33zzDS5evIiNGzfC19e3OW+J0YRwHufo6GgcO3YMMTExUFdX56NOR4wYwUcrcRvU3FqMSxNqbCpPaWkpPxfl5uZCIBBIdXO3IVRVOpRzCDVmTuUEXrm1b2vyahcVFeH06dOIiIhAdHQ05OTk4O7ujrFjx8Le3r5VeqTrSosY1+JwoSmhoaEIDQ1FcnIyhg0bxoeQ6uvry8xkxdXq5LzTWhoP0M9wH0QKI6DYaSZUyj8FAJQohwFyAoDyMaG0C56RIlYrlWGYWKmqiyfKEPOHCDbjbkO+QwYv5PWgaw98r6yFPnKEOYrlWFCihE+nbcG4S0ehOn8c4qfMQkqEPMaOE0K3e8VXVULAsJIKoySiQwl0QTh6UwEh3or4/aY91LrJ4/z+9bAxvwlB2Xz8e+dHzJjoiVdCJbidKMPfYxXRURX47UIxqnP+vPr/vwpxQbMDCgfwrdK3MCIjHC85Xu/Ps6ioCFlZWXz96YbmT1dVnkk8/Kipw3ELCwsRGxvL5xKqqanB09MT48ePx8iRI2XSWyGLlJWV4cKFCzh69CgfKspFszg6OkrV0BH33Obk5EBBQYFX8Bb3Tksrp7OhcAJk3EtRUVHivrhJujWF5b1ZR1N8wZGZmYm+ffvi5s2b/AZYaWkp3NzcMHbsWDg4ONRYo5nRchARTpw4gaVLlyI5ORlycnIwMjKCg4MDbG1tm13luLox3bx5k8+d5kplOTs7w9XVtVWWyuKM6/j4eFhbW/PtK1aswN69e5Genl7j8VV5rn/77Td8/vnnePDgATQ1NfHnn39ixIgRUFNTw4QJE/Dzzz831+0wmhnOIOIiTQoLC2Fubo6ysjJ8/PHH6NGjh4QQWVOnCVUlIFxbJRhpIT5WLpKNG2tzOH1k3avNRZzFxMQgIiICsbGx6NKlCzw9PTFu3Lg2qcNVHS1uXIvD5WqGhobi2LFjuHTpEvr37w8PDw+4u7vDxMSkRf9QxFWLxWXwxQW25JAPQB0AQbE8GCSngUNykxFdXo5VIh8AAtwUBGGYvDzeHHpeDqChBQiFFaGlccdKcTetHN3H5cC0iwpuvJJD96CDSO3eCz77D0Np1Dv46PNZuNutL6JRwhvXIgJ8SgV4AWCfoBR7hYr4uUwR+hcJqw4cRbJhFjb7z8JWVcK78iKgJAoL13bACd2R+MpTBceclaCuSdgeW4IXT88ick8Jepi4wH6csMbP57HcY8xXmo+xwrGYIpxS6+fZUirOXLkfzrsoFAolvrf6GkPcTu7x48cRHh6OuLg4dO/eHV5eXhg3bhyGDh3aKnZSZRkumoVTHr916xZsbGz4/C89Pb0Wffa5fH9uI40zQouLi0FEvAEqa5N7bYgr7Ofm5kJOTg4CgQDl5eV8WDw3MbdEWazmQCQSITMzEykpKVizZg2uXbsGRUVFmJubY8mSJXBzc2tV31l74sKFCzh9+jScnZ1hZmaGs2fPIjw8HJGRkXj9+jXGjBkDV1dXODo6NlsqUFFRES5evNhmS2U1R1h4eXk5+vbtixkzZsDHxwdWVlbw9PREaWkpHj9+jOPH67/5zpA9Tp06BScnJ3Tv3h16enrIycmBsbEx3Nzc4OLiAh0dnWZ9NqpaQ3bu3FlCULOlebNihjS97G96tRUUFCTKAbbEvEdEyMrKQlRUFCIiIvgUA06/xNLSsl2ul6VqXIvDJfSHh4cjNDQUcXFxMDQ0hLu7O9zd3WFhYdHkX5C4B0Q8d5r749TU1KzTLsu0EgHSCPiBVsFLLhmlHYIBOcnjjh9QwO61Spj8STnGz6oI755h0wGlxXLwX/McWj2fouNPv6Fb2AVEj7ZDjrkpZm/ejgRTU0z8fAcMywlT3MrxsWJ5petfepiNJegIn+4amKYoxJoyRfwrLMJ6QQ7U5bsBopt4VjYD3eXeh1Dgi6JiEb5XXQI1OcKSrD14XaiItT9cwrdbezT6M62u/rSurm6L1B8WF5mqT8kHIkJ2djYiIyMRHh6Oc+fOwdjYmDeoBwwY0C5/IFoCTlyKUx6/cuUKLC0t4e7uDjc3t2ZZ3IqXznlzI03c0KxKLZtTtNfR0ZFJL+jr16/58ebl5VWrlv7mhkKHDh0kfvtkWcmViJCXl8dvgJ06dQrdunWDp6cnbGxskJeXh9OnT2Pr1q0y52l88eIFfH19ER4eDgDw8PDApk2b0Llz5yr7l5WV4dtvv0V0dDTu3r0LDQ0N2NvbIzAwEN27dwcAPH/+HEuXLsXJkyfx6NEjaGtrw8vLC8uXL5fIZTM0NMSDBw8kzr9gwQIEBgY2z802EKFQiCtXrvCCaLdv38bIkSN5leMePXo0+DeBU4fncqfPnj0LTU1NqZfKak6GDh0KS0tLBAUF8W1mZmbw9PRssKDZ1q1b8c0336BHjx4wNDTE0aNHYW1tjf79+2PXrl3NcRuMFqasrAwlJSXo1KkTXyGE2xC/fv06rKys+PDx3r17N/szw5Wz4gxbFRUVfm5rrsg3cQNfPBRefA0gC78VLenVJiI8ePCA3whNTEyEpaUl76E2NjaWic9EmsiMcf0mXFmP0NBQxMTEQENDA66urvD09MSwYcMaHFpQk3e6od6beyI5JInk4SFfBIGcHCBX2YCsyrg+H62AE6Vn0NfzIbzlpkI+8zmw/RCe2g7G81cv0WP9fty0HIm1uTNwZZUKBKpySFcuhqL48LKeQ9neB1BQQHHifqBDRYhOhyJbyFEWSpSPYaPSSRyRXweH8tlYTN8gE5kYrjwcRCL8+9wZzx8Uo7TDVuj3aZjhW1ZWJpEvI20xJHHKy8t5Iyo3N5f/vpWVlfHq1Svo6ekhMjISERERSEhIgIWFBby8vDB+/PhW77FojRARMjIyeKGVM2fONEhopSq4iZnb5W3IRhpXGu7NyV1bWxudO3eWyt8LZ2hyi47Xr19LKJHWJUKE+13kPh9OzZT7fGQhN4qI8OzZM34D7Pz58zAxMWl1G2DOzs54/Pgxtm3bBgCYM2cODA0NERERUWX//Px8TJgwAbNnz8bAgQPx4sUL+Pv7o7y8HNeuXQMA/PPPP1i6dClmzpwJMzMzPHjwAHPnzsWAAQNw+PBh/lyGhobw8fHB7Nmz+bZOnTqhU6dOzXjHjYPbfOMM7YSEBAwYMIAXROvXr1+t3/ubpbLS0tIwdOhQuLi4wMXFBQMHDmwVfzsNhSvF9euvv8La2hrbtm3D9u3bcePGDRgYGGDRokV48uQJ9uzZwx+TkpICAJg1axaMjY3xv//9DwKBAGZmZgCAxYsXY+3atejduzeCg4Oxfft27N27F5cuXcKQIUOkcZuMFoKI8OjRI36ePn/+PO/Rdnd3b5Hf4vLycolKIHJyck1WCYQTLuXOLR6a3pylL5uSpvZqi0QipKWl8YKgN27cwMiRI+Hl5QUvLy+ZSumVBWTWuBZHvMRXeHg4iKjOJb5q8063ZPF6Lixc/O/PQtkCALChZAOOKx6HvdAeo0WjAfz345GVk4M9ch2hWVYCN/lylOl2g7mmBjoIlICXhVB2mA1SVUFJzK/A/xsIHYrcIUd3UaIchR/l/8DMouUopy7QVr6LR1CEk4oxiuSKEFccByMyqve9vOkda876001JYWEh0tPTcfLkST4inpsAAD12SURBVKxduxbl5eXQ1tbGlClT8OWXX7IfCBmiKqEVbpPNw8MDw4cPr3GC4MRXOIPx9evXvNdZW1u70TvOb07uACQm9+bMLWrOa4uLuOXk5CAvL48vfcRtIrSUIUJEuH//Pr9DfvnyZbz77ru8Qd3Y8jEtTVpaGszMzJCYmIihQ4cCABITE2FtbY309HQYGxvX6TxXr17FkCFD8ODBgyrrFAPAoUOH8MEHH6CwsJD/ezA0NIS/vz/8/f2b5H5aGi4EMTIyEmFhYYiLi0PXrl15Q9va2hpKSkpVlspSUFCAg4NDpVJZ7YWgoCCsWbMGGRkZMDc3x/r162FjU1EpZObMmbh//z7Onj3L96/qszEwMMD9+/cBVHi+09LSAAA6OjoYPHgwAgICJPK6GW0fIsKLFy8QFRWFsLAwnDhxAl26dOHX6MOGDWv2iEVOyDM7OxtZWVkSlUDqWl3gTa84p4uko6PTonNec1DVWqguXm2hUIhr167x8++TJ09gb28PLy8veHh4QEtLq139htaHVmFci8OV+Dpy5AjCw8P5El8eHh5wdHSEmpoaH/LZlN7p5iJYIRj35O/BWGSMFUor8Paj4Rj0TTBs3YR4z/O/HOjEWwfQ+ccjSBjnh2VWNhj8PBMqAgHmiQoxUFMDKqqqklY7CQGUAXLKePk6A8q51rh21QWH+25DWB9FqGm8h1L5B4gtiUV36l7rOKvLn9bV1ZUZz1Z1iEQi3Lhxg1eovXXrFt577z24ubmha9euuHLlCp/vy5BdioqKcOrUKd6DVVZWBmdnZ7i5ucHe3h6qqqooLCzkn/3c3FyJ3drmNHi5jQDu+RD3Huvo6DRJaLI0QuKA/wx5bmLmUj2aqyySSCRCenq6ROkmGxsbjB07Fl5eXo0KCZY2u3btwpdfflmpNnDnzp2xfv16fPjhh3U6T1xcHBwcHJCXlwd1dfUq++zYsQOLFi1CdnY232ZoaIiSkhKUlpZCX18fEydO5D2SrZHCwkKcPHmSF68TiUQwMDBAeXk5UlNT0b9/fz7cW1ZLZbVGlixZgl9//RVxcXGwt7dHQEAAPvvsM2kPiyEDvH79GnFxcfzvt1Ao5Ofp0aNHN3sqFedQ4+bi/Pz8aiuBcHM2V1mDy+fmNt/bKtV5tZ89ewZTU1PeQx0VFYXCwkK4uLjAy8sLzs7OUFNTk/bwWwWtzrgWRyQS4dq1awgNDcUff/zB7+KrqqpizZo1vOHXkt7phvISL7FDcQdUDozH8aV90dtEhPVHSvn3f19mgUnb5HDb2RYem4KgDRFui+TQu/gV7HKWobeoO8YojoG2tjaEGp0xq0wZQ+WFWKRUDvlLyXg4YxfmZgWiQFcbj/4CfuxQDHeFEghQ/aKK26TIysriF9Xi3jFZFgnidty4H/jMzEw4Ojpi7NixcHd3ZyV4WjlCoRCXLl3CsWPHcPDgQWRlZUFHRwcDBw7E/PnzoaenJ9WSUpzntzGRHbIo5iKuaZCTk4P8/HyoqqryGxgNLZnECdxxIWePHj3CmDFjMHbsWHh4eLQZL+PKlSsRHByMmzdvSrT37dsXH374IRYtWlTrOYqLizFixAiYmJjg999/r7JPbm4uLCws4O3tjR9++IFvX79+PSwsLKCpqYkrV65g0aJF8PT0xI4dOxp3YzJAeXk5Ll26hMWLF2PMmDH46KOPpFYqKygoCGvXrkVGRgb69euHDRs2YOTIkVX2PXr0KLZs2YKUlBSUlJSgX79+CAgIgKOjo0S/I0eOYMmSJbhz5w769OmDFStWSAiUtRQ7duyAr68vTp8+DSsrK6xYsQLbtm3D7du3ZXpNwGh5uNrGoaGhCA8PR0ZGBkaPHg1XV1e4uLi0iOezqkogSkpKKCkpgZycHG9My/qatrkQFwT94Ycf8Ndff0FRUREDBw7EggUL4ObmJnO6Ja2BVm1cizNnzhykpqZCS0sLubm5SExMlNkSXzVRUlyRnz3QSoTeJv99NZGPt0FnywkMmvY9Sk374ZZIDo6lylBGKRTVnSEvl4aw62HIycnBP2qaWGdkAQXFh/DtdBQflEyB8upYfHZkAvTf6YQF20qhUs1HIcv507VRVlbGF6mPjIzkd9zGjRsHJyenNr0T2Z5xc3ODnJwc1NTUcOvWLaSkpGDYsGG8IJq0n31xxW6uHJb4MyW+8deaypAAFfcm7tUmIt6jra2tXaNHlHteuZCzgoICfofcxcWlVe2QBwQEYNmyZTX2uXr1Kk6ePFllbWEjIyP4+Phg4cKFNZ6jrKwMEydOxMOHD3H27NkqvdYFBQVwcHCApqYmwsPDa/ybOXLkCCZMmICcnBxoaWnVeG1G3eDym4OCgjB8+HBs3boVO3bsQGpqapUh/P7+/ujevTtGjRqFzp07Y/fu3fjxxx9x+fJlDB48GACQkJCAkSNHYvny5Rg7dixCQ0Px3Xff4eLFi3x6QUtw/PhxeHl5ISQkBOPGjQNQ8fdmYGCAn376CR999FGLjYXRuhCJRPjnn394Q/uvv/7CsGHD+JQOAwODZpmnOS+2uHCnkpISiouLIRKJWm0lkMZQlSConp4ePDw8YG1tjefPn+P06dPYu3dvqynRKWu0GeOaiPgHU9ZKfDUXy+SOIaiDHwaKjOEmcoNvuW/FQ5Ofj33PS3Ho4UbctP0N3jmumF86AepdRlQZvl1d/rSurq7Mq6YWFxdLlG+Rl5eHp6cnxo4dW2s+PqPtweXoHjt2DMeOHUN8fDz69+/Pb7KZmJhIdYOIU/TknreysjJ07twZAoEApaWl/OTPGd+tKdeL87RzhnZBQQHU1dX5VBxdXV2UlZXhzJkzfMiZvLw8PDw84OXlBXt7+1b7vHL3XBOGhobYv39/g8PCy8rKMGnSJNy9exdHjx5FQEBAJcVxBQUFODo6QkVFBZGRkfznWZ3iuJ+fH9555x0+B7ykpARfffUVQkJCUFRUhNGjRyMoKAg9e/bkx1FftfP2xtChQ2FhYYEtW7bwbaampvDy8qpVmZujX79+mDx5Mr777jsAwOTJk1FQUCBR4srJyQmampoICQlp2huohqSkJNja2mLFihXw8/OTeO+7777DgQMHkJaWJvNRggzpw6lNc8rjFy9ehJmZGT9P10WksDrE84uzs7NRVFTEi3OKl4CtrhKINCPDmhMiQmZmJi8IeuHCBZiYmPDr5UGDBrWatUZroM0Y19UhXuLr6NGjOHXqFF/iq7Hqw9JmreJabFHagqnlU/FD2Q8QiYBPXTqg4AUweLgI0aFCyPv+jiiftVCjZ7h280sUlg3jF7tFRUXNlh/anLx69QonT55EeHg4Tpw4AQ0NDXh6emL8+PHtqkg9o2bEn/1jx44hLi4OPXr04BVNhwwZIpWFIBdanZWVhWfPnqGwsBAKCgoQCoXo1KkTunbtCl1dXZkp8dFQSkpKkJubi4yMDGzcuBGxsbEoKiqCuro6xo0bh6lTp7a755UTNLt8+TKvqHz58mVYWVnVKGjGGda3bt3CmTNnMH369EqK4z179kReXh46dOiA6OhoicVhdYrjubm5uH37Np9S9cknnyAiIgLBwcHQ0tLC/Pnz8fz5cyQlJfHPSn3VztsTja0pDVQYB4aGhvj6668xb948AECvXr3wxRdf4IsvvuD7rV+/Hhs2bKhUWo3BaE0QEXJzc3mRwpMnT0JXVxdubm68SGFtc4R4dFhubi7k5eXrrbVSXSWQ5tY0aU6ICHfu3EFERAQiIiJw7do1DBkyhC+Z1doEQVsTbd64fpOCggJERUXh2LFjOH78ODp37twkJb6kQTnKkSSfhEGiQeiADigpBrzMlQECJn9aht83CPDNplI4OflAQRiFJ4W/494jdeTl5UEkEkFOTg4aGhro0aMHdHV1ZfbeuRCW6OhoPoSlZ8+efMmsd999t9VukDBajpcvXyImJgZhYWGIjo6GQCCAi4sLPDw8YGtr26zhT1V5rMXDvQUCAUpKSiQm99bswc7NzeWf19OnT6N3794YNmwYysvLkZKSghUrVrRbAUFnZ2c8ffoUW7duBVBhnBoYGEgYpyYmJli1ahXGjh2L8vJyjB8/HtevX0dkZCTy8/Nha2uLqKgo2NvbQyAQ4NSpU7C3t0ffvn0RHR0tkQKjo6MDBQUFJCQkIDExEaNGjYKGhgZCQkKwePFi2NvbIzY2Fvn5+dDR0cHevXsxefJkAMDTp0+hr6+P6OhoODo6NpnaeVvl6dOn6NGjBy5duoRhw4bx7StXrqwyHaAq1q5di8DAQKSlpUFXVxcAIBAIEBwcjKlTp/L99u/fjw8//BAlJSVNfyMMhpQQFymMjIyEnJwcXFxc4OrqitGjR6Njx44SFS040bJOnTrx3ml1dfUmrwTCzcVdunSR2bUy8F/4Pff5/fvvv7C1teVLZnXv3p0Z1C1AuzOuxWlMiS9Z5cl9ORS/BvqYkYSQQ25uNpSUJBfrXAinuPf6zdAZafFmyZXz58/DzMyMN6gbEzbEYJSWluLcuXM4evQoIiIi8PLlSzg4OMDd3R0ODg5NUk5O8vnLrTHX+k2qyr2WZTFBIsKTJ08QERGB8PBwxMfHY8CAAXzJLDMzM4nPUzyNp73x/PnzSmHVv/zyi0RYtZycHHbv3s2XSOrdu3eV5zpz5gzs7Oxw9uxZjBo1qso+9+7dg6GhIa5fv45PP/0U6enpKCkpgba2Nh4/foyMjAzo6enh9OnTGD16NJ4/fw5NTU3++IEDB8LLywvLli1rMrXztgpnXMfHx0uUpFqxYgX27t2L9PT0Go8PCQnBrFmzEBYWBnt7e75dIBDgt99+w/vvv8+37du3Dz4+PiguLm76G2EwZACuOtDRo0cRHh6OZ8+e4e2330ZhYSHWrl0LPT09fl5srvW6eJmv7OxsFBcX17vMV3MjFAqRmJjIp0dmZWXBwcEBXl5ecHd3h6amZrudb6WF7G6/tAAdO3aEu7s73N3dJUp8zZ8/v8oSX63hj1NTtxDZ2dm4dk0yf/qtt96qlD+tqakJTU1NGBkZ8XnXWVlZuHnzJlRVVfkfj5YKieFy5TnF4MTERL6m7ZYtW1gIC6PJEAgEGDNmDMaMGYPNmzfjypUrOHbsGFatWoU5c+bAzs4Obm5ucHV1ha6ubp3VvasqAaKtrV3l81cTCgoKvCEurhp+7949/PPPP9DU1OTfl9ZGGBHh9u3bCA8PR3h4OJKTkzFs2DB4eXkhODgYhoaG1d5ve36Ou3TpUq3KN4f4nrehoaHE/6tSHLezs4ORkVGNiuMWFhZITEwE8J/iuK2tLfT09AAAmZmZEAgEEoY1AHTt2hWZmZl8H86bKo6uri7fpz2jra0NBQWFSp9FVlYWunbtWuOxBw8ehI+PDw4dOiRhWAOAnp5eg87JYLRmFBUVYWdnBzs7OxgYGGD16tVQVlaGhoYGvL29MXToUD58vLkqA8jLy/Nr5b59+6KwsGKNnZGRgfT0dH6Ob2mNopKSEpw7dw7h4eGIjo5GaWkpXF1d8eOPP7YLAd+GaH8cPXoUW7duRVJSEnJzc5GcnIxBgwZJ9KmL7khdaNfGtTjiD/HGjRv5El+BgYH4+OOPMWrUKLi7u8PV1RXa2toyszgUX3hnZWXxHuiuXbvC3Ny8zrtqKioqMDAwgIGBAa8AnJ2djeTk5ErlCpoyJIaIcPPmTX6B/tdff2HEiBGYNGkSQkJCpFZKhdF+kJeXh5WVFaysrLBq1Sqkp6cjNDQUe/fuhb+/P4YMGcIrj7/11lsSf4+ceApnUJeUlKBLly7o1q0b+vfv3yS72lz6hoaGBt5++21eKyE7O1tiI6wpwuFqQyQS4e+//+ZDzm7duoVRo0Zh1qxZ8PT0RNeuXdnz2kDqqjgOVL05UddogLKyMkyZMgUikQhBQUG19n/zvI25dltHIBDA0tISsbGxEjnXsbGx8PT0rPa4kJAQfPTRRwgJCYGrq2ul962trREbGyuRc33y5EmJ0HMGoy0zb948fPnll3yN6nv37vHK4wsWLMCAAQN4Z1lzCpeqqqpCVVUVhoaGEtFpDx48aPbqOpzeUEREBE6cOAFVVVW4u7tjz549sLOzq7E6R1tj6tSpePz4MWJiYgBUpFd5e3vXqP1RWFiI4cOHY+LEiZg9e3aVffz9/REREYEDBw7wuiNubm4SuiN1oV2HhdcFIkJaWhqvPJ6SkgJra2uplvhqyZDRN0NiOOVFzthuiNdMfIEeHh6OO3fuYPTo0Rg/fjw8PDxkavOC0X7hQp05RdNz587B2NgYo0eP5ner3377bV48hXv+WlIkTXwjLCcnp1nGIhQKcfnyZT6iJDs7m68Z7+bm1mrFXmSNllYcP336NOTl5fndf6FQiMLCQj6MnOPNsPDPP/8cI0aMkNj9t7Oz469dUxj7H3/8gYkTJ/L38qYY14IFCxAYGFjjZyDrcKW4fv31V1hbW2Pbtm3Yvn07bty4AQMDAyxatAhPnjzBnj17AFQY1tOnT8fGjRv58lZARWSdhoYGACA+Ph42NjZYsWIFPD09ERYWhm+//bbFS3ExGLIGESE7OxsREREICwtDXFwcunfvzqd4Dh06tEXmZJFIJLEuLy8vr6SrUl+ICM+fP0dUVBQiIyNx6tQp6Ovr8wrfLXVvskZjtT+4OepNz3VddEfqCjOu64F4ia/Q0FC+zE9LlPh6M3+T2yHT1dVtUbEjcRGJvLy8OnvNhEIhrly5grCwMH6B7uTkxC/Qm9vjxpAkKCgIa9euRUZGBvr164cNGzZg5MiRVfbNyMjA/PnzkZSUhFu3bsHX1xcbNmyQ6BMcHFzlor6oqEgmcpIaCxHhxYsXcHR0RFJSEjQ1NTFw4EBYWVlh5MiRGD58uNRFTqrzonPPZ30E20pLS3H+/Hm+ZFZJSQnc3Nzg5eUFR0fHNh9yJss0leK4jo6OhPL3q1ev4ODgAAsLCyQlJQGoePZ79uxZSdBs9uzZGDJkCGbPno09e/Zg+vTp/LWFQiGys7Mlrr1t2zasWbMGmZmZ6NSpE4AK49rHx0fCg9CpUyf+/dZMUFAQ1qxZg4yMDJibm2P9+vWwsbEBAD6P/uzZswAqQvqrUhGfMWMGgoOD+f8fPnwY3377Le7evYs+ffpgxYoVEsY4g8Go8O5ywqVRUVFQUlKCs7MzPDw8YGdn1yLrkarKfGloaPBzcU3zp7h+SUREBC5dugRzc3Nev4TpDaHR2h/VGdd10R2pK8y4biDcbll4eDhCQ0ObpcSXeB40p4aoq6sLHR0dmag/zZU/4F6c10xDQwPq6uro2LEjLl68yIeQFhcXw9XVFWPHjmULdCnCeVaCgoIwfPhwbN26FTt27EBqaip69epVqf/9+/exfv16WFpaYv369bC1ta3SuPbz86ukhsvlc7YVjh8/DlNTU+jq6iI2NpbfLCIiuLi4wM3NDe+9957Ua2RyaqqcR5vL/+Ym96p+P16/fo24uDiEh4fj+PHj6NixIzw8PDBu3Lh2F3LW3JSXl8PY2Biurq74+eefJd6bO3cuYmNjkZCQUGV+M9B4xfGuXbvi5s2bsLW1xYULFzBixAgAwLhx4xAaGordu3dj4MCB+Oqrr5Cbm1upFNfTp08REBDAl3MxMTGpMRxv8ODBsLCwwM6dO/k2Q0ND+Pv7w9/fv0GfIYPBYNREWVkZzp8/z4ePc1pKbm5ucHJyarGoq+rKfHXu3JkXN7158yZvUCcnJ8Pa2hpeXl4YO3YsevfuLfX1vixRle4IAPTt27dG3RGO6ozr6iowODg4oHfv3vx8WxeYcd1E5OfnIzo6WqLEFxc6XtcSX1z+dFZWVqurP815zTIzMxEWFobVq1fznjJPT094e3tj1KhRbIEuAwwdOhQWFhbYsmUL32ZqagovLy+sWrWqxmPt7OwwaNCgKo1rf3//SjuJ7QFODJGbwLOzszF69Gi4u7vD2dkZnTt3lvrEWFXky6NHj0BEEAqFOH78OOLi4qCnp8fXwLS2tm6XIWctxfbt2+Hv74+HDx9CS0sLALBq1Sr89NNPiI+PR9++fas9tjkUx4GKRaCGhgaUlJQgEol4MRd9ff1K1z527BgKCwvh7OyM/fv3Vyskk5SUhHfeeadSeSpDQ0OUlJSgtLQU+vr6mDhxIv73v/+xOYLBqANNHX0GAEeOHMGSJUtw584dPjpCXDugNSMSiZCUlMRXB/r3339hY2PDC5e2VIkq8TJfkZGR2LBhA1RUVJCbmwtbW1tMnDix3eqX1FV35OTJk1WWNjQyMoKPjw8WLlxY4znqa1yPGTMGffr0wa+//lrne2nfsQVNiIaGBt5//30cPHgQz549w+bNm1FcXAxvb2/06dMHn3zyCaKjoyuVzeBC6FJTU3H+/Hlcv34dxcXFeOutt2BnZwcLCwvo6+vLtGH98uVLhIaGwt/fH++99x727NmDmTNn4oMPPsDgwYNhY2MDR0dHtmiSAUpLS5GUlAQHBweJdgcHB8THxzfq3K9evYKBgQF69uwJNzc3JCcnN+p8rQVODHHjxo24c+cOzp8/jwEDBmDTpk3o3bs33N3dsXXrVjx+/BjS2ssUCATo3r07BgwYABMTEzx48ABhYWH46quv8Nlnn+HWrVvYs2cPbt26hXXr1mHEiBFtyrAOCgpC7969oaysDEtLS1y4cKHavhkZGZg6dSqMjY0hLy9frWf1yJEjMDMzQ4cOHWBmZobQ0NB6jWnGjBnQ0tLC5s2bAVSUVlq+fDnCw8NrNKyB/xTHCwoKUFBQgN9//72ScUtEmDlzJoD/FMfFXytWrICRkRFvWAOAsrIyDAwMsHjxYrx+/RoREREShrX4tf/55x8AFV6EmhRad+7cCVNT00riW35+fjhw4ADOnDmDefPmYcOGDfj0009rvG8Gg1ERfebv74/FixcjOTkZI0eOhLOzMx4+fFhl/5KSEujo6GDx4sUYOHBglX0SEhIwefJkeHt7488//4S3tzcmTZqEy5cvN+ettBjy8vJ49913sWLFCvz111+4ceMGHBwccPjwYZiamsLOzg4//vgj0tPTm22eLi8vR3x8PH788UdMnDgR69evx3vvvYd3330Xb731FkxNTfHxxx9DT0+v3RnWQIVoXVpaWo0vc3Nz6Onp4dmzZ5WOz87OblQFBT09PZSWluLFixcS7Q2qzECMZqWsrIxOnz5N8+bNI319fVJTUyNXV1f6+OOP6bPPPqOIiAiKiYmhpKQkevToEb18+ZIKCwtl+vXq1St69OgR/frrr+Tq6krKyspkbGxMCxYsoMuXL5NQKJT2x86ohidPnhAAunTpkkT7ihUrqG/fvrUeb2trS35+fpXaExISaO/evZSSkkLnz5+n8ePHU8eOHenmzZtNNfRWh0gkolu3btHatWtpxIgRpKCgQO+88w4FBARQUlISvXr1qsWe1xs3btCqVato2LBhpKCgQFZWVrRq1SpKT0+na9euUUBAAN29e1faH1mzcODAAVJSUqLt27dTamoq+fn5kaqqKj148KDK/vfu3SNfX1/67bffaNCgQVX+vcfHx5OCggKtXLmS0tLSaOXKlaSoqEiJiYn1GtumTZtIR0eHoqKiSFlZmQ4fPtyQW5Rg6dKlBKDG19WrV6t95t9++21atWpVrde5d+8eAaDk5ORq+7x+/Zo0NDToxx9/rPV8hw8fJgCUk5NTa18Goz0zZMgQmjt3rkSbiYkJLVy4sNZjq5vDJ02aRE5OThJtjo6ONGXKlEaNVdYRiUT09OlT2rp1K7m4uFCHDh2ob9++9MUXX9Dp06epoKCgUfNvbm4uHT58mKZPn07a2tqkpaVFM2fOpGPHjlFhYaHEWEpKSqT0KbQuUlNTCQBdvnyZb0tMTCQAlJ6eXuvx1c1deXl5pKSkRAcPHuTbnj59SvLy8hQTE1OvMbKw8BZEJBJhypQpOHz4MDQ1NWFgYABTU1MMHz5c5kp8vQkRITMzE5GRkQgPD8eFCxfQr18/eHl5Yfz48ejXr5/Mjp3xH0+fPkWPHj0QHx8Pa2trvn3FihXYu3cv0tPTazy+urDwNxGJRLCwsICNjU2lnNL2CBHh2bNnCA8Px7Fjx3D69GkYGBjAzc0N7u7usLS0bFJPMf1/lQOuxN2NGzdgY2MDLy8veHl5tasSd82RBjF58mQUFBTg+PHjfJuTkxM0NTUREhJS57EVFxejd+/eyMrKwk8//dQk+cctoToOVB9aJ87evXvh4+ODJ0+eQEdHp8bzPXnyBD179pRQgGUwGJKUlpZCRUUFhw4dkgjZ9vPzQ0pKSpXieOJU95vWq1cvfPHFFxLl3tavX48NGzZUUvVvy3C/62FhYbz2iIuLC9zd3WFjY1MnYdCCggKcOHEC4eHhiI2NhYaGBp9uNXLkyCat6NNeqa/uCFCR0vTw4UM8ffoUrq6uOHDgAIyNjaGnp8frA33yySeIjIxEcHAwunTpUqXuSF1gda5bEHl5eSxatAjr1q1Djx49+BJfu3fvhp+fH6ytrfk6fdIo8fUmRMSHj0ZERODKlSsYMmQIvLy8sG3btko1fxmyj7a2NhQUFJCZmSnR3qCwlxrgQrBu3brVZOdszcjJyUFPTw9z5szBnDlzUFBQgOjoaISFhcHLywuqqqpwcXGBh4cHRo4c2aAUCpFIhOvXr/PP66NHj2Bvbw9fX194eHhAS0ur3T2vXBrEmzlYjU2DSEhIkFiEAoCjo2Otm05voqysjFGjRuHRo0dNJuylra0NbW3tWvtZW1sjPz+f/10HKlTH8/Pzm6x+8s6dO+Hh4VGrYQ2ATyPp1q1bk1ybwWiL5OTkQCgUVpqvu3btWmlerw+ZmZlNfs7WiLq6OiZPnozJkyejtLQUZ8+exdGjR/Hpp5/yFRXc3Nzg6OgINTU1vu52dnY2oqKiEBERgbNnz8LQ0BBeXl74+uuv8e6777Z7he+mZt++ffD19eVTHDndEXH+/fdf5Ofn8/8PDw+X2DSeMmUKAGDp0qUICAgAULGhpKioiEmTJqGoqAijR49GcHBwvZ0fzLhuYQYPHsz/28zMDGZmZvjmm28kSnx98803GDBgAG9oN2eJrzchIqSnp/Mer3/++QcjR47E1KlT8ccff6BHjx7taoH+4sWLSsJBmzZtqjbHsKysDN9++y2io6Nx9+5daGhowN7eHoGBgejevTvfr6ryK5MnT8aBAwea7V6AitxbS0tLxMbGSux6x8bGwtPTs8muQ0RISUlB//79m+ycbQl1dXVMmTIFU6ZMQXFxMc6ePYvQ0FDMmTMHRUVFcHJygpubGxwcHGosTcTlcHGK/AUFBXB2dsby5cvh4uICNTW1Frwr2aM1LET/+usvODk5NXgsDcXU1BROTk6YPXu2xO6/m5ubRDmvmnb/AfCiMuK7/wBw+/ZtnD9/HtHR0ZWunZCQgMTERIwaNQoaGhq4evUqvvjiC3h4eFRZsYDBYEjy5jqMiBq9NmuOc7ZmBAIBHBwc4ODggKCgIFy5cgXHjh3D6tWrMWfOHIwYMQKdO3dGZmYmLl++jEGDBmHs2LFYt24dTE1N2/Vn19xw2h818WZg9syZM3kdkupQVlbGpk2bsGnTpkaNj22lyABycnIwMDCAv78/zp49i8ePH+OTTz7B1atXMXz4cFhaWmLp0qVISkqCSCRq8uuLRCIkJycjICAAlpaWGD58OJKSkjBv3jxkZGTg1KlTmDdvXrsKJeWYOnUqUlJSEBMTg5iYGKSkpMDb27va/q9fv8b169exZMkSXL9+HUePHsXNmzfh4eFRqe/s2bORkZHBv+oj898YvvzyS+zYsQO7du1CWloavvjiCzx8+BBz584FACxatAjTp0+XOCYlJQUpKSl49eoVsrOzkZKSgtTUVP79ZcuW4cSJE7h79y5SUlLg4+ODlJQUaGtr11lI6ujRoxgzZgxfM93a2honTpyo1K+xQlKyhrKyMpycnHjRs6ioKPTs2RPff/89DAwMMGHCBPz222/Izs4GEaG4uBjHjx/H3Llz0adPH3h7e6O0tBRbtmzBs2fPcODAAUyePLndG9biyOpCtKioCOnp6bC0tGzUWBrKvn370L9/f34BOWDAAOzdu1eiT1W7/4MHD4arqyuAit3/wYMHV1JS3bVrF3r06FFJPBEAOnTogIMHD8LOzg5mZmb47rvvMHv27HqF1DMY7ZHmij7T09Nr9oi21oy8vDysrKwQGBiIGzdu4M8//8TIkSNx7tw5jB8/Hnfu3MHVq1exePFimJmZtem18osXL+Dt7Q0NDQ1oaGjA29u71koxRISAgAB0794dHTt2hJ2dHW7cuCHRx87ODnJychIvzrvc6qhXhnYT8fz5c/rggw9IXV2d1NXV6YMPPqAXL17UeMyRI0fIwcGBtLS0qhVRsbW1rSTcMnny5Oa5iRYiLy+P9u/fTxMnTiQ1NTXS19enTz75hI4fP075+fkNFlkoKCig2NhYmjdvHhkYGFCnTp1owoQJtG/fPsrLy5P2bcsEnGiCuEhRQkJCnUUTOK5cuUIAJASUqhMVaSk2b95MBgYGJBAIyMLCgs6dO8e/N2PGDLK1tZXo/+ZzBYAMDAz49/39/alXr14kEAhIR0eHHBwc6Pvvv6+XkJSfnx+tXr2arly5Qjdv3qRFixaRkpISXb9+ne/TVEJSrQGRSER///03LV++nCwtLUlBQYF0dXVJRUWF9PX1ad68eXTmzBkqKyuT9lBllpKSElJQUKCjR49KtPv6+pKNjU2tx1f3nOrr69O6desk2tatW0e9evWq1/ji4+Pr/XvCYDDaN0OGDKFPPvlEos3U1LTRgmbOzs4SbU5OTm1e0IxRf5ycnMjc3Jzi4+MpPj6ezM3Nyc3NrcZjAgMDSU1NjY4cOUJ///03TZ48mbp160YFBQV8H1tbW5o9ezZlZGTwr9Zqj0jFuG7IF7Nnzx5atmwZbd++vUbjuq18MVXx+vVrCgsLow8//JC0tbVJW1ubpk+fTocPH6bc3NxaDeoXL15QeHg4+fj4UNeuXUlTU5O8vb0pNDS0kmohg2jnzp2koaFRqV1DQ4N27dpV5/PExsaSnJwc5efn8222tra8cqSZmRnNnz9f4kemLdAYRVMOMzMzWrZsGf//9qxoev/+fZoyZQqdPHmSKfLXA1leiP7yyy/UqVMn9n0yGIw6w1VA2LlzJ6WmppK/vz+pqqrS/fv3iYho4cKF5O3tLXFMcnIyJScnk6WlJU2dOpWSk5Ppxo0b/PuXLl0iBQUFCgwMpLS0NAoMDGyzG9eMhtMQp5NIJCI9PT0KDAzk24qLi0lDQ4N+/fVXvk3aTqempMWN68Z6A2sq/9GWvpjaqKrE1/jx4yk4OJgyMjJ4gzonJ4cOHjxI06ZNI01NTdLT06OPP/6YTpw4wWT/a2HFihVkZGRUqd3IyIhWrlxZp3MUFRWRpaUlTZs2TaJ927ZtFBsbS3///TeFhISQoaEh2dvbN8m4ZYHGegyJiIRCIenr69OmTZv4tqbyGDLaD2whymAw2hpNHX1GRHTo0CEyNjYmJSUlMjExoSNHjrTAnTBaEw1xOt25c4cASEQhEhF5eHjQ9OnT+f+3JadTixvXjfUG1mZct5Uvpj4IhUK6fPkyLViwgExMTKhDhw40ZMgQGjp0KHXq1IkMDAzIz8+Pzp07R+Xl5dIertRpqTqwpaWl5OnpSYMHD5bwWlfFtWvXCAAlJSU1+L5kicbW0yYiWrNmDXXp0oWePXvGtykpKdG+ffsk+u3bt48EAkHjB82QCps3byZDQ0Pq0KEDWVhY0Pnz56vt+/TpU3r//fepb9++JCcnV+Vm6u7du6t8prm0BbYQZTAYDAaj/jTE6XTp0iUCQE+ePJFonz17Njk4OPD/b0tOpxZXC8/MzISurm6ldl1d3UZL/k+bNg29e/eGnp4e/vnnHyxatAh//vknYmNjG3VeWUdeXh5DhgzBkCFDsGrVKqSlpWHlypXIzc3FmTNnYGFhwcoAiDFv3rxaRRIMDQ3x119/4dmzZ5Xey87OrlXko6ysDJMmTcK9e/dw+vRpqKur19jfwsICSkpKuHXrFiwsLGq/iVZCQ0WfQkJCEBAQgLCwsEq/F0zRtO1w8OBB+Pv7IygoCMOHD8fWrVvh7OyM1NTUKlWjS0pKoKOjg8WLF2P9+vXVnlddXZ1XseYQV7IWJzg4uFIbvaEyWhUTJkzAhAkTau3HYDAYbZmgoCCsXbsWGRkZ6NevHzZs2ICRI0dW2TcjIwPz589HUlISbt26BV9f30olDIODgyVKJnEUFRVBWVm5OW6h3RMQEIBly5bV2Ofq1asAKq/BgLqtw2pbu82ePZv/t7m5OYyMjPDOO+/g+vXrrW5d3GTGdUt8MbXRlr6YhiInJwczM7NaJerbM81dB5YzrG/duoUzZ85AS0ur1mvduHEDZWVlbabGa2MUTQ8ePAgfHx8cOnQI9vb2Eu8xRdO2xbp16+Dj44NZs2YBADZs2IATJ05gy5YtWLVqVaX+hoaG2LhxI4AKNerq4OqKMxgMBqP5aMkNUmZYNx/N6XTi5uLMzEyJNW5ta7fW7HRqMnfmvHnzkJaWVuPL3Nwcenp6DfYG1hfxL4bBqC/idWATExORmJiI2bNnV1kHlisHVV5ejgkTJuDatWvYt28fhEIhMjMzkZmZidLSUgDAnTt38P333+PatWu4f/8+oqOjMXHiRAwePBjDhw+Xyr02NeL1tMWJjY2tcWMiJCQEM2fOxP79+/lSP+JYW1tXOufJkydrPCdDNiktLUVSUlKlUk0ODg6Ij49v1LlfvXoFAwMD9OzZE25ubkhOTm7U+RgMBoNRGfENUlNTU2zYsAH6+vrYsmVLlf25DdLp06dDQ0Oj2vNyG6TiL0bzoa2tDRMTkxpfysrKEk4njtqcTlxEsfjarbS0FOfOnatx7daanU5N5rlubm9gQ2jNXwxDNti3bx98fX15A8DDwwO//PKLRB/xOrCPHz9GeHg4AGDQoEES/c6cOQM7OzsIBAKcOnUKGzduxKtXr6Cvrw9XV1csXboUCgoKzX9TLcSXX34Jb29vvPPOO7C2tsa2bdsq1dN+8uQJ9uzZA6DCsJ4+fTo2btwIKysr3kPdsWNHfhL28/ODjY0NVq9eDU9PT4SFhSEuLg4XL16Uzk0yGkxOTg6EQmGlTdWuXbs2KkXIxMQEwcHB6N+/PwoKCrBx40YMHz4cf/75J4yMjBo7bAaDwWDgvw3ShQsXSrQ35QapUCjEoEGDsHz5cgwePLhR52Q0HnGn09atWwEAc+bMqdLptGrVKowdOxZycnLw9/fHypUrYWRkBCMjI6xcuRIqKiqYOnUqgAqn0759++Di4gJtbW2kpqZi/vz5rdfpJI1EbycnJxowYAAlJCRQQkIC9e/fv1IpLmNjYwml4dzcXEpOTqaoqCgCQAcOHKDk5GTKyMggIqLbt2/TsmXL6OrVq3Tv3j2KiooiExMTGjx4MBPxYjCkRH0UTauqUw+AZsyYIXHO6oSk6iOMdeTIEbK3tydtbW1SU1MjKysriomJkehTnTBWUVFR4z8YBi96Fx8fL9H+ww8/kLGxca3H17U6hFAopIEDB9Lnn3/e0KEyGAwG4w0aK1xa3W94QkIC7d27l1JSUuj8+fM0fvx46tixI928ebOphs5oBLm5uTRt2jRSU1MjNTU1mjZtGr148UKiDwDavXs3/3+RSERLly4lPT096tChA9nY2NDff//Nv//w4UOysbGhLl26kEAgoD59+pCvry/l5ua20F01LVIxrhvyxVS30F26dCkRtb0vhsFg1B2u3NL27dspNTWV/Pz8SFVVlR48eFBlfz8/P1q9ejVduXKFbt68SYsWLSIlJSWJUhG7d+8mdXV1ysjIkHgxmobGlmurT+nFWbNmVaqPzmAwGG2RsrIyeuutt6rcUPz444/prbfekqjC0VDYBimDUTUtrhYOAF26dKlVcIveUGudOXMmZs6cWW1/fX19nDt3rimGx2AwWhn1FcZ6U5105cqVCAsLQ0REhEToGRPGaj7E8/LHjh3Lt8fGxsLT07PJrkNESElJQf/+/ZvsnAwGgyGrKCoqYuHChfD398fSpUt5UdVVq1bh8OHDiI+Pr7JqT31pjHBpfZCXl8e7777L9JMYrQZWn4nBYLRqmkIYSyQS4eXLl+jSpYtEOxPGal6+/PJL7NixA7t27UJaWhq++OKLSnn506dPlzgmJSUFKSkpePXqFbKzs5GSkoLU1FT+/WXLluHEiRO4e/cuUlJS4OPjg5SUFP6cDAaD0daZMWMGtLS0sHnzZgAV+jHLly9HeHg4+vbt2yTXaKhwaX3hNkjbk35SUFAQevfuDWVlZVhaWuLChQs19j937hwsLS2hrKyMt956C7/++mulPkeOHIGZmRk6dOgAMzMzXoiX0QxI2XPOaMc8f/6cPvjgA1JXVyd1dXX64IMPKqUHiFNaWkpff/01mZubk4qKCnXr1o28vb0rFaYvLi6mefPmkZaWFqmoqJC7uzs9evSome+m/dJSIWjV0di8LyKiNWvWUJcuXSTG2Z7zvpo6f52I6PDhw2RqakoCgYBMTU35cPD65OUTUZXpQQYGBvz7/v7+1KtXLxIIBKSjo0MODg6VwhYZDAajrbNp0ybS0dGhqKgoUlZWpsOHDzf5NbiUrJ07d1Jqair5+/uTqqoq3b9/n4iIFi5cSN7e3hLHJCcnU3JyMllaWtLUqVMpOTmZbty4wb8fEBBAMTExdOfOHUpOTqYPP/yQFBUV6fLly00+flmkvmlud+/eJRUVFfLz86PU1FTavn07KSkpSXzf8fHxpKCgQCtXrqS0tDRauXIlKSoqUmJiYkvdVruCGdcMqeHk5ETm5uYUHx9P8fHxZG5uXknYTpy8vDyyt7engwcPUnp6OiUkJNDQoUPJ0tJSot/cuXOpR48eFBsbS9evX6dRo0bRwIEDmbBdM7Jt2zZSUVGhnJwcvm3lypWkpaVF//77b7Neu7F5X/v37ycVFRWKjY2tsV97yftqjvx1NrEzGAxGy1JUVER6enokLy9P69evb7brsA3SpmXIkCE0d+5ciTYTExNauHBhlf2//vprMjExkWj7+OOPycrKiv//pEmTKumOODo60pQpU5po1I1DKBSSsbExff311xLtMTExpKSkRH/88YeURtYwmHFdA/X1rBJVeHEcHBxIS0uLAFBycnKlPsyzSpSamkoAJBbXCQkJBIDS09PrfJ4rV64QAH7hn5eXR0pKSnTgwAG+z5MnT0heXr5KbxqjaSgpKSF9fX1atmwZERH9/vvv1LFjx0re5Oa6dkOFsQ4cOEAdO3akyMjIOl2rPQhj1XdirwozMzP+b4FI9id2BoPBaIu8//77NGLECGkPg1FHGrKeGTlyJPn6+kq0HT16lBQVFam0tJSIiPT19WndunUSfdatW0e9evVqwtE3juDgYFJTU6Pnz58TEVFKSgqpqanR2rVrpTyy+sNyrmtg6tSpSElJQUxMDGJiYpCSkgJvb+8ajyksLMTw4cMRGBhYbR9/f3+EhobiwIEDuHjxIl69egU3NzcIhcKmvgWZJSEhARoaGhg6dCjfZmVlBQ0NjXrVR8zPz4ecnBw6d+4MAEhKSkJZWZlE/m337t1hbm7e6LqLjOoRCAT4+uuv8csvvyA6OhqzZs3C3r17m7x2fXXXbkjeV0hICGbOnIn9+/fD1dW11utQO8j7aq789YSEhErndHR0ZM8kg8FgNCN//fWXxDqLIdvk5ORAKBRWEoTr2rVrJeE4jszMzCr7l5eXIycnp8Y+1Z1TGkybNg3a2tr4+eef8fjxY7i6usLb2xtfffWVtIdWb5hxXQ1paWmIiYnBjh07YG1tDWtra2zfvh2RkZH4999/qz3O29sb3333Hezt7at8Pz8/Hzt37sRPP/0Ee3t7DB48GL///jv+/vtvxMXFNdftyByZmZlVqlXq6urW+WEvLi7GwoULMXXqVKirq/PnFQgE0NTUlOgraz8ibZFZs2ZBQUEB7u7uWLVqFcaPH99i166vMFZISAimT5+On376CVZWVsjMzERmZiby8/P5Pu1RGKshE/ub/PTTTygsLMSkSZP4Nlma2EUiEUxMTLBgwQKJ9hMnTkAgEODQoUMtPiYGg8FoaoqKipCeng5LS0tpD4VRT+Tk5CT+T0SV2mrr/2Z7fc/Z0igqKmLBggX4+eef4eLiAgsLC/z888/SHlaDYMZ1NTSVZ/VN2rpnNSAgAHJycjW+rl27BqDygw7U/WEvKyvDlClTIBKJEBQUVGt/WfsRaYsoKytj1KhRGDZsGPz9/Vv02pMnT8aGDRvw/fffY9CgQTh//jyio6NhYGAAAMjIyMDDhw/5/lu3bkV5eTk+++wzdOvWjX/5+fnxffLy8jBnzhyYmprCwcEBT548wfnz5zFkyJAWvTdp0NBJOCQkBAEBATh48GClzTNZmdjl5eWxaNEibNmyBS9evAAA/Pnnn5g4cSJWrlyJiRMntviYGAwGo6lJSUmBUCiEhYWFtIfCqCMNKW+mp6dXZX9FRUW+DFt1fZqyZFpTMG3aNLx+/RpEhJCQECgoKEh7SA1CasZ1eXk5+vTpA19f30rvzZ07F3369EFWVpYURlZBU3hWqztvW/aszps3D2lpaTW+zM3Noaenh2fPnlU6Pjs7u9aHvaysDJMmTcK9e/cQGxvLe62Bih+Q0tJSftHMIYs/Im0RaYagffrpp7h//z5KSkqQlJQEGxsb/r3g4GCcPXuW///Zs2dBFZoTEq/g4GC+z/r16/HgwQOUlJQgKysLJ06cgLW1dQveUcvTmLqlBw8ehI+PD/74449KkTuyNrG3pfAzBoPBqIrr16+jU6dOMDIykvZQGHWkIWlu1tbWlfqfPHkS77zzDpSUlGrs0xKpe/Vh3rx5ACqi6FqrYQ1I0bjmitzv3LkTubm5fDtX5P748eNNUuT+TVrKs1pf2opnVVtbGyYmJjW+lJWVYW1tjfz8fFy5coU/9vLly8jPz6/xYecM61u3biEuLo7fleOwtLSEkpKSxI9IRkYG/vnnH5n7EWlrsBC01k9z5a/L2sTelsLPGAwGoyo+++wzvHz5EvLyLEi1NVHfNLe5c+fiwYMH+PLLL5GWloZdu3Zh586dEpvFfn5+OHnyJFavXo309HSsXr0acXFxLR5lWBNLlixBVFQUEhMTUV5ejp07d0p7SA2n5TXU/kMaCsPZ2dmUlpZW46uoqIh27txJGhoalY7X0NCgXbt21Xqde/fuVakWfurUKQLAq+FxDBgwgL777rvG3Fqrw8nJiQYMGEAJCQmUkJBA/fv3r1SKy9jYmFdNLCsrIw8PD+rZsyelpKRQRkYG/yopKeGPmTt3LvXs2ZPi4uLo+vXr9N5777FSXC1AfHx8vdXeGbJHfeuW7t+/nxQVFWnz5s0Sz2ReXh7f59KlS6SgoECBgYGUlpZGgYGBUi/F9fLlS1JWViZzc3N69eqV1MbBYDAYDIY49S1vdvbsWRo8eDAJBAIyNDSkLVu2VDrnoUOHyNjYmJSUlMjExISOHDnS3LdRZ7Zv304dO3akhIQEIqoopdqrVy9e7by1IfVSXC1R5L4hcKWixIvWJyYm1tl4qM645kpFHTx4kG97+vRpuywVlZubS9OmTSM1NTVSU1OjadOmVSp1BoB2795NRP99plW9zpw5wx9TVFRE8+bNoy5dulDHjh3Jzc2NHj58WK+xtbWaey3BL7/8Qp06dSKhUCjtoTAaSX0mdltb2yqfyRkzZkicU9Ym9hkzZpCysjLp6elRUVGRVMfCYDAYDEZ7JDo6mgQCgcSaID8/nzp37kw7d+6U4sgajtSN65Yqct8Q6utZJaowGJOTkykqKooA0IEDByg5OZkyMjL4Psyz2jpoSzX3GAzGf3z77bekra1NKSkppK2tTb/88ou0h8RgMBgMRrvi2rVrpKqqShs2bKj03pIlS8jIyKhV2kZyRP+v1y5Fpk6dikePHuHChQvSHooEz58/h6+vL8LDwwEAHh4e+OWXX/iaykBFXvbu3bsxc+ZMABXCSR9++GGlcy1duhQBAQEAKkpI/e9//8P+/ftRVFSE0aNHIygoCPr6+s19S4x6UF5ejr59+2LGjBnw8fGBlZUVPD09sXnzZmkPjcFgNJAdO3bA19cXp0+fhpWVFVasWIFt27bh9u3bvPgLg8FgMBgMRkOQCePa3NwcTk5O+PHHH6U9FAZDgq1bt+Kbb75Bjx49YGhoiNDQ0FatYMhgtGeOHz8OLy8vhISEYNy4cQCAgoICGBgY4KeffsJHH30k5REyGAwGg8FozUhdQpApDDNkmbZSc4/BaO8kJSVh4sSJWLNmDW9YA4C6ujo+//xzBAYGQigUSnGEDAaDwWAwWjtS91wnJCRg2LBhSE9Ph7GxsTSHwmBUYubMmTh48CA6d+6Me/fuQVlZWdpDYjAYDAaDwWAwGDKI1D3XrMg9Q1ZpUzX3GAwGg8FgMBgMRrMidc81gyGLMNEjBoPBYDAYDAaDUR+k7rlmMGSN48eP47PPPsPvv/8OKysrAMDnn3+OgoIC7N27V8qjYzAYDAaDwWAwGLIIM64ZDDGY6BGDwWAwGAwGg8FoCCwsnMFgMBgMBoPBYDAYjEbCPNcMBoPBYDAYDAaDwWA0EmZcMxgMBoPBYDAYDAaD0UiYcc1gMBgMBoPBYDAYDEYjYcY1g8FgMBgMBoPBYDAYjYQZ1wwGg8FgMBgMBoPBYDQSZlwzGAwGg8FgMBgMBoPRSJhxzWAwGAwGg8FgMBgMRiNhxjWDwWAwGAwGg8FgMBiNhBnXDAaDwWAwGAwGg8FgNBJmXDMYDAaDwWAwGAwGg9FImHHNYDAYDAaDwWAwGAxGI2HGNYPBYDAYDAaDwWAwGI2EGdcMBoPBYDAYDAaDwWA0EmZcMxgMBoPBYDAYDAaD0UiYcc1gMBgMBoPBYDAYDEYjYcY1g8FgMBgMBoPBYDAYjYQZ1wwGg8FgMBgMBoPBYDSS/wNE8ofH4hKoPQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 6))\n", + "\n", + "for i, leaf_id in enumerate(moving_leaves):\n", + " sel_idx = object_id == leaf_id\n", + " pc_sel = pc[sel_idx]\n", + " pt_src_id_sel = pt_src_id[sel_idx]\n", + "\n", + " ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n", + " sc = ax.scatter(pc_sel[:, 0],\n", + " pc_sel[:, 1],\n", + " pc_sel[:, 2],\n", + " c=pt_src_id_sel, cmap='gist_rainbow',\n", + " s=0.4, zorder=1)\n", + "\n", + " ax.set_xlabel('$X$')\n", + " ax.set_ylabel('$Y$')\n", + " ax.set_zticks([])\n", + " ax.view_init(elev=15, azim=45)\n", + " # set equal axes\n", + " box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n", + " ax.set_box_aspect(box)\n", + "fig.suptitle('Moving leaves', fontsize=16)\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.16" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/example_notebooks/16_trees_dynamic.ipynb b/example_notebooks/16_trees_dynamic.ipynb deleted file mode 100644 index 0a85b35ad..000000000 --- a/example_notebooks/16_trees_dynamic.ipynb +++ /dev/null @@ -1,220 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Terrestrial and UAV-borne Laser Scanning of Small Apple Trees with Leaf Flutter\n", - "\n", - "Notebook: Hannah Weiser, 2023\n", - "\n", - "This is a demonstration of scanning a [dynamic scene](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes), consisting of a tree with moving leaves.\n", - "\n", - "We will use the command-line access of HELIOS++ to run the simulation, and use Python just for displaying the input XMLs and the resulting point clouds." - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 2, - "outputs": [], - "source": [ - "import sys, os\n", - "from pathlib import Path\n", - "from IPython.display import Code\n", - "\n", - "current_folder = globals()['_dh'][0]\n", - "helios_path = str(Path(current_folder).parent)\n", - "sys.path.append(helios_path) # add helios-plusplus directory to PATH\n", - "import pyhelios\n", - "\n", - "from pyhelios.util.xmldisplayer import display_xml, find_playback_dir\n", - "\n", - "os.chdir(helios_path)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "start_time": "2023-08-23T09:34:16.841667Z", - "end_time": "2023-08-23T09:34:17.164671Z" - } - } - }, - { - "cell_type": "markdown", - "source": [ - "## Scene\n", - "\n", - "The scene was generated in [Blender](https://www.blender.org/) using three add-ons:\n", - "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were separated \"By Loose Parts\" to obtain each leaf separately.\n", - "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g, Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles x, y and z will be sampled at each time step.\n", - "- [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h): This add-on allows exporting dynamic Blender scenes (i.e., scenes with rigid motions) to HELIOS++ sceneparts and scenes. It considers translations and rotations.\n", - "\n", - "Finally, further modifications were made:\n", - "- Wavefront material template library (MTL) files were modified, so they contain a `helios_classification` to create an automatic classification of the output point cloud.\n", - "\n", - "The exported scene is very large, but you can have a look [here]()." - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "markdown", - "source": [ - "## Platform and Scanner\n", - "\n", - "We are performing two simulations: Terrestrial laser scanning (TLS) from a static tripod with a RIEGL VZ-400 and UAV-borne laser scanning (ULS) from a quadcopter with a RIEGL VUX-1UAV. Platforms and scanners are shown below:\n", - "\n", - "### TLS" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 3, - "outputs": [ - { - "data": { - "text/plain": "\n\t\t\n\t\t\n\t\n\t", - "text/html": "
<platform id="tripod" name="TLS Tripod" type="static" drag="0">\n\t\t<scannerMount x="0" y="0" z="1.5">\n\t\t</scannerMount>\n\t</platform>\n\t\n
\n", - "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}platform}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}TLS Tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{type=}\\PY{l+s}{\\PYZdq{}static\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{drag=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}scannerMount}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/scannerMount\\PYZgt{}}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/platform\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Code(display_xml('data/platforms.xml', 'tripod'), language='XML')" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "start_time": "2023-08-23T09:34:20.183717Z", - "end_time": "2023-08-23T09:34:20.222714Z" - } - } - }, - { - "cell_type": "code", - "execution_count": 6, - "outputs": [ - { - "data": { - "text/plain": "\n\t\t\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\n\t\n\t", - "text/html": "
<scanner id="riegl_vz400" name="RIEGL VZ-400" accuracy_m="0.005" beamDivergence_rad="0.0003" headRotatePerSecMax_deg="60" optics="rotating" pulseFreqs_Hz="100000,300000" pulseLength_ns="5" rangeMin_m="1.5" scanAngleMax_deg="120" scanAngleEffectiveMax_deg="50" scanFreqMin_Hz="3" scanFreqMax_Hz="120">\n\t\t\n\t\t<FWFSettings beamSampleQuality="3" />\t\n\t\t<beamOrigin x="0" y="0" z="0.2">\n\t\t\t<rot axis="y" angle_deg="0" />\n\t\t\t<rot axis="z" angle_deg="0" />\n\t\t\t<rot axis="x" angle_deg="0" />\n\t\t</beamOrigin>\n\t\t<headRotateAxis x="0" y="0" z="1" />\n\t\t\n\t</scanner>\n\t\n
\n", - "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}scanner}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}RIEGL VZ\\PYZhy{}400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{accuracy\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}0.005\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{beamDivergence\\PYZus{}rad=}\\PY{l+s}{\\PYZdq{}0.0003\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotatePerSecMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}60\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{optics=}\\PY{l+s}{\\PYZdq{}rotating\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreqs\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}100000,300000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseLength\\PYZus{}ns=}\\PY{l+s}{\\PYZdq{}5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{rangeMin\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleEffectiveMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}50\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMin\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMax\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}FWFSettings}\\PY{+w}{ }\\PY{n+na}{beamSampleQuality=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}beamOrigin}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.2\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}y\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}z\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/beamOrigin\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}headRotateAxis}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/scanner\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Code(display_xml('data/scanners_tls.xml', 'riegl_vz400'), language='XML')" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "start_time": "2023-08-23T09:34:39.373264Z", - "end_time": "2023-08-23T09:34:39.385263Z" - } - } - }, - { - "cell_type": "markdown", - "source": [ - "### ULS" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 9, - "outputs": [ - { - "data": { - "text/plain": "\n\t\t\n\t\t\t\n\t\t\n\t\n\t", - "text/html": "
<platform id="copter_linearpath" name="Quadrocopter UAV" type="linearpath">\n\t\t<scannerMount x="0" y="0" z="0.2">\n\t\t\t<rot axis="x" angle_deg="175" />\n\t\t</scannerMount>\n\t</platform>\n\t\n
\n", - "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}platform}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}copter\\PYZus{}linearpath\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}Quadrocopter UAV\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{type=}\\PY{l+s}{\\PYZdq{}linearpath\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}scannerMount}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.2\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}175\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/scannerMount\\PYZgt{}}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/platform\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Code(display_xml('data/platforms.xml', 'copter_linearpath'), language='XML')" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "start_time": "2023-08-23T11:27:38.102943Z", - "end_time": "2023-08-23T11:27:38.113946Z" - } - } - }, - { - "cell_type": "code", - "execution_count": 8, - "outputs": [ - { - "data": { - "text/plain": "\n\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\n\t\t\n\t\n\t", - "text/html": "
<scanner id="riegl_vux-1uav" accuracy_m="0.01" beamDivergence_rad="0.0005" name="RIEGL VUX-1UAV" optics="rotating" pulseFreqs_Hz="50000,100000,200000,300000,380000,550000" pulseLength_ns="4" rangeMin_m="3" scanAngleMax_deg="180" scanAngleEffectiveMax_deg="165" scanFreqMin_Hz="10" scanFreqMax_Hz="200">\n\t\t\n\t\t\t<beamOrigin x="0" y="0.085" z="0.06">\t\t\t\n\t\t\t\t<rot axis="x" angle_deg="90" />\t\t\t\n\t\t\t\t<rot axis="z" angle_deg="90" />\t\t\t\n\t\t\t</beamOrigin>\n\t\t<headRotateAxis x="0" y="0" z="1" />\n\t</scanner>\n\t\n
\n", - "text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{n+nt}{\\PYZlt{}scanner}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}riegl\\PYZus{}vux\\PYZhy{}1uav\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{accuracy\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}0.01\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{beamDivergence\\PYZus{}rad=}\\PY{l+s}{\\PYZdq{}0.0005\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}RIEGL VUX\\PYZhy{}1UAV\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{optics=}\\PY{l+s}{\\PYZdq{}rotating\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreqs\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}50000,100000,200000,300000,380000,550000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseLength\\PYZus{}ns=}\\PY{l+s}{\\PYZdq{}4\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{rangeMin\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}180\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleEffectiveMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}165\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMin\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}10\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMax\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}200\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n\\PY{+w}{\t\t}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}beamOrigin}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.085\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.06\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\\PY{+w}{\t\t\t}\n\\PY{+w}{\t\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}90\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t\t\t}\n\\PY{+w}{\t\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}z\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}90\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t\t\t}\n\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}/beamOrigin\\PYZgt{}}\n\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}headRotateAxis}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/scanner\\PYZgt{}}\n\\PY{+w}{\t}\n\\end{Verbatim}\n" - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Code(display_xml('data/scanners_als.xml', 'riegl_vux-1uav'), language='XML')" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "start_time": "2023-08-23T11:27:33.746987Z", - "end_time": "2023-08-23T11:27:33.771988Z" - } - } - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [], - "metadata": { - "collapsed": false - } - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} From 0334be54d090f794b0ac61f4e30275909942af57 Mon Sep 17 00:00:00 2001 From: han16nah Date: Thu, 24 Aug 2023 23:33:13 +0200 Subject: [PATCH 04/10] replace tree in notebook --- .../sceneparts/{tree10 => tree1}/leafwood.mtl | 0 data/sceneparts/tree1/leaves.001.obj | 21 + data/sceneparts/tree1/leaves.002.obj | 21 + data/sceneparts/tree1/leaves.003.obj | 21 + data/sceneparts/tree1/leaves.004.obj | 21 + data/sceneparts/tree1/leaves.005.obj | 21 + data/sceneparts/tree1/leaves.006.obj | 21 + data/sceneparts/tree1/leaves.007.obj | 21 + data/sceneparts/tree1/leaves.008.obj | 21 + data/sceneparts/tree1/leaves.009.obj | 21 + data/sceneparts/tree1/leaves.010.obj | 21 + data/sceneparts/tree1/leaves.011.obj | 21 + data/sceneparts/tree1/leaves.012.obj | 21 + data/sceneparts/tree1/leaves.013.obj | 21 + data/sceneparts/tree1/leaves.014.obj | 21 + data/sceneparts/tree1/leaves.015.obj | 21 + data/sceneparts/tree1/leaves.016.obj | 21 + data/sceneparts/tree1/leaves.017.obj | 21 + data/sceneparts/tree1/leaves.018.obj | 21 + data/sceneparts/tree1/leaves.019.obj | 21 + data/sceneparts/tree1/leaves.020.obj | 21 + data/sceneparts/tree1/leaves.021.obj | 21 + data/sceneparts/tree1/leaves.022.obj | 21 + data/sceneparts/tree1/leaves.023.obj | 21 + data/sceneparts/tree1/leaves.024.obj | 21 + data/sceneparts/tree1/leaves.025.obj | 22 + data/sceneparts/tree1/leaves.026.obj | 22 + data/sceneparts/tree1/leaves.027.obj | 21 + data/sceneparts/tree1/leaves.028.obj | 21 + data/sceneparts/tree1/leaves.029.obj | 21 + data/sceneparts/tree1/leaves.030.obj | 21 + data/sceneparts/tree1/leaves.031.obj | 21 + data/sceneparts/tree1/leaves.032.obj | 21 + data/sceneparts/tree1/leaves.033.obj | 21 + data/sceneparts/tree1/leaves.034.obj | 21 + data/sceneparts/tree1/leaves.035.obj | 21 + data/sceneparts/tree1/leaves.036.obj | 21 + data/sceneparts/tree1/leaves.037.obj | 21 + data/sceneparts/tree1/leaves.038.obj | 21 + data/sceneparts/tree1/leaves.039.obj | 21 + data/sceneparts/tree1/leaves.040.obj | 21 + data/sceneparts/tree1/leaves.041.obj | 21 + data/sceneparts/tree1/leaves.042.obj | 21 + data/sceneparts/tree1/leaves.043.obj | 21 + data/sceneparts/tree1/leaves.044.obj | 21 + data/sceneparts/tree1/leaves.045.obj | 21 + data/sceneparts/tree1/leaves.046.obj | 21 + data/sceneparts/tree1/leaves.047.obj | 21 + data/sceneparts/tree1/leaves.048.obj | 21 + data/sceneparts/tree1/leaves.049.obj | 21 + data/sceneparts/tree1/leaves.050.obj | 21 + data/sceneparts/tree1/leaves.051.obj | 21 + data/sceneparts/tree1/leaves.052.obj | 21 + data/sceneparts/tree1/leaves.053.obj | 21 + data/sceneparts/tree1/leaves.054.obj | 21 + data/sceneparts/tree1/leaves.055.obj | 21 + data/sceneparts/tree1/leaves.056.obj | 21 + data/sceneparts/tree1/leaves.057.obj | 21 + data/sceneparts/tree1/leaves.058.obj | 21 + data/sceneparts/tree1/leaves.059.obj | 21 + data/sceneparts/tree1/leaves.060.obj | 21 + data/sceneparts/tree1/leaves.061.obj | 21 + data/sceneparts/tree1/leaves.062.obj | 21 + data/sceneparts/tree1/leaves.063.obj | 21 + data/sceneparts/tree1/leaves.064.obj | 21 + data/sceneparts/tree1/leaves.065.obj | 21 + data/sceneparts/tree1/leaves.066.obj | 21 + data/sceneparts/tree1/leaves.067.obj | 21 + data/sceneparts/tree1/leaves.068.obj | 21 + data/sceneparts/tree1/leaves.069.obj | 21 + data/sceneparts/tree1/leaves.070.obj | 21 + data/sceneparts/tree1/leaves.071.obj | 21 + data/sceneparts/tree1/leaves.072.obj | 21 + data/sceneparts/tree1/leaves.073.obj | 21 + data/sceneparts/tree1/leaves.074.obj | 21 + data/sceneparts/tree1/leaves.075.obj | 21 + data/sceneparts/tree1/leaves.076.obj | 21 + data/sceneparts/tree1/leaves.077.obj | 21 + data/sceneparts/tree1/leaves.078.obj | 21 + data/sceneparts/tree1/leaves.079.obj | 21 + data/sceneparts/tree1/leaves.080.obj | 21 + data/sceneparts/tree1/leaves.081.obj | 21 + data/sceneparts/tree1/leaves.082.obj | 21 + data/sceneparts/tree1/leaves.083.obj | 21 + data/sceneparts/tree1/leaves.084.obj | 21 + data/sceneparts/tree1/leaves.085.obj | 21 + data/sceneparts/tree1/leaves.086.obj | 21 + data/sceneparts/tree1/leaves.087.obj | 21 + data/sceneparts/tree1/leaves.088.obj | 21 + data/sceneparts/tree1/leaves.089.obj | 21 + data/sceneparts/tree1/leaves.090.obj | 21 + data/sceneparts/tree1/leaves.091.obj | 21 + data/sceneparts/tree1/leaves.092.obj | 21 + data/sceneparts/tree1/leaves.093.obj | 21 + data/sceneparts/tree1/leaves.094.obj | 21 + data/sceneparts/tree1/leaves.095.obj | 21 + data/sceneparts/tree1/leaves.096.obj | 21 + data/sceneparts/tree1/leaves.097.obj | 21 + data/sceneparts/tree1/leaves.098.obj | 21 + data/sceneparts/tree1/leaves.099.obj | 22 + data/sceneparts/tree1/leaves.100.obj | 21 + data/sceneparts/tree1/leaves.101.obj | 21 + data/sceneparts/tree1/leaves.102.obj | 21 + data/sceneparts/tree1/leaves.103.obj | 21 + data/sceneparts/tree1/leaves.104.obj | 21 + data/sceneparts/tree1/leaves.105.obj | 21 + data/sceneparts/tree1/leaves.106.obj | 21 + data/sceneparts/tree1/leaves.107.obj | 21 + data/sceneparts/tree1/leaves.108.obj | 22 + data/sceneparts/tree1/leaves.109.obj | 21 + data/sceneparts/tree1/leaves.110.obj | 21 + data/sceneparts/tree1/leaves.111.obj | 21 + data/sceneparts/tree1/leaves.112.obj | 21 + data/sceneparts/tree1/leaves.113.obj | 21 + data/sceneparts/tree1/leaves.114.obj | 21 + data/sceneparts/tree1/leaves.115.obj | 21 + data/sceneparts/tree1/leaves.116.obj | 21 + data/sceneparts/tree1/leaves.117.obj | 21 + data/sceneparts/tree1/leaves.118.obj | 21 + data/sceneparts/tree1/leaves.119.obj | 21 + data/sceneparts/tree1/leaves.120.obj | 21 + data/sceneparts/tree1/leaves.121.obj | 21 + data/sceneparts/tree1/leaves.122.obj | 21 + data/sceneparts/tree1/leaves.123.obj | 21 + data/sceneparts/tree1/leaves.124.obj | 21 + data/sceneparts/tree1/leaves.125.obj | 21 + data/sceneparts/tree1/leaves.126.obj | 21 + data/sceneparts/tree1/leaves.127.obj | 21 + data/sceneparts/tree1/leaves.128.obj | 21 + data/sceneparts/tree1/leaves.129.obj | 21 + data/sceneparts/tree1/leaves.130.obj | 21 + data/sceneparts/tree1/leaves.131.obj | 21 + data/sceneparts/tree1/leaves.132.obj | 21 + data/sceneparts/tree1/leaves.133.obj | 21 + data/sceneparts/tree1/leaves.134.obj | 21 + data/sceneparts/tree1/leaves.135.obj | 21 + data/sceneparts/tree1/leaves.136.obj | 21 + data/sceneparts/tree1/leaves.137.obj | 21 + data/sceneparts/tree1/leaves.138.obj | 21 + data/sceneparts/tree1/leaves.139.obj | 21 + data/sceneparts/tree1/leaves.140.obj | 21 + data/sceneparts/tree1/leaves.141.obj | 21 + data/sceneparts/tree1/leaves.142.obj | 21 + data/sceneparts/tree1/leaves.143.obj | 21 + data/sceneparts/tree1/leaves.144.obj | 21 + data/sceneparts/tree1/leaves.145.obj | 21 + data/sceneparts/tree1/leaves.146.obj | 21 + data/sceneparts/tree1/leaves.147.obj | 21 + data/sceneparts/tree1/leaves.148.obj | 21 + data/sceneparts/tree1/leaves.149.obj | 21 + data/sceneparts/tree1/leaves.150.obj | 21 + data/sceneparts/tree1/leaves.151.obj | 21 + data/sceneparts/tree1/leaves.152.obj | 21 + data/sceneparts/tree1/leaves.153.obj | 21 + data/sceneparts/tree1/leaves.154.obj | 21 + data/sceneparts/tree1/leaves.155.obj | 21 + data/sceneparts/tree1/leaves.156.obj | 21 + data/sceneparts/tree1/leaves.157.obj | 21 + data/sceneparts/tree1/leaves.158.obj | 21 + data/sceneparts/tree1/leaves.159.obj | 21 + data/sceneparts/tree1/leaves.160.obj | 22 + data/sceneparts/tree1/leaves.161.obj | 21 + data/sceneparts/tree1/leaves.162.obj | 21 + data/sceneparts/tree1/leaves.163.obj | 21 + data/sceneparts/tree1/leaves.164.obj | 21 + data/sceneparts/tree1/leaves.165.obj | 22 + data/sceneparts/tree1/leaves.166.obj | 21 + data/sceneparts/tree1/leaves.167.obj | 21 + data/sceneparts/tree1/leaves.168.obj | 21 + data/sceneparts/tree1/leaves.169.obj | 21 + data/sceneparts/tree1/leaves.170.obj | 21 + data/sceneparts/tree1/leaves.171.obj | 21 + data/sceneparts/tree1/leaves.172.obj | 21 + data/sceneparts/tree1/leaves.173.obj | 21 + data/sceneparts/tree1/leaves.174.obj | 21 + data/sceneparts/tree1/leaves.175.obj | 21 + data/sceneparts/tree1/leaves.176.obj | 21 + data/sceneparts/tree1/leaves.177.obj | 21 + data/sceneparts/tree1/leaves.178.obj | 21 + data/sceneparts/tree1/leaves.179.obj | 21 + data/sceneparts/tree1/leaves.180.obj | 21 + data/sceneparts/tree1/leaves.181.obj | 21 + data/sceneparts/tree1/leaves.182.obj | 21 + data/sceneparts/tree1/leaves.183.obj | 21 + data/sceneparts/tree1/leaves.184.obj | 21 + data/sceneparts/tree1/leaves.185.obj | 21 + data/sceneparts/tree1/leaves.186.obj | 21 + data/sceneparts/tree1/leaves.187.obj | 21 + data/sceneparts/tree1/leaves.188.obj | 21 + data/sceneparts/tree1/leaves.189.obj | 21 + data/sceneparts/tree1/leaves.190.obj | 21 + data/sceneparts/tree1/leaves.191.obj | 21 + data/sceneparts/tree1/leaves.192.obj | 21 + data/sceneparts/tree1/leaves.193.obj | 21 + data/sceneparts/tree1/leaves.194.obj | 21 + data/sceneparts/tree1/leaves.195.obj | 21 + data/sceneparts/tree1/leaves.196.obj | 21 + data/sceneparts/tree1/leaves.197.obj | 21 + data/sceneparts/tree1/leaves.198.obj | 21 + data/sceneparts/tree1/leaves.199.obj | 22 + data/sceneparts/tree1/leaves.200.obj | 21 + data/sceneparts/tree1/leaves.201.obj | 21 + data/sceneparts/tree1/leaves.202.obj | 21 + data/sceneparts/tree1/leaves.203.obj | 21 + data/sceneparts/tree1/leaves.204.obj | 21 + data/sceneparts/tree1/leaves.205.obj | 21 + data/sceneparts/tree1/leaves.206.obj | 21 + data/sceneparts/tree1/leaves.207.obj | 21 + data/sceneparts/tree1/leaves.208.obj | 21 + data/sceneparts/tree1/leaves.209.obj | 21 + data/sceneparts/tree1/leaves.210.obj | 21 + data/sceneparts/tree1/leaves.211.obj | 21 + data/sceneparts/tree1/leaves.212.obj | 21 + data/sceneparts/tree1/leaves.213.obj | 21 + data/sceneparts/tree1/leaves.214.obj | 22 + data/sceneparts/tree1/leaves.215.obj | 21 + data/sceneparts/tree1/leaves.216.obj | 21 + data/sceneparts/tree1/leaves.217.obj | 21 + data/sceneparts/tree1/leaves.218.obj | 21 + data/sceneparts/tree1/leaves.219.obj | 21 + data/sceneparts/tree1/leaves.220.obj | 21 + data/sceneparts/tree1/leaves.221.obj | 21 + data/sceneparts/tree1/leaves.222.obj | 21 + data/sceneparts/tree1/leaves.223.obj | 22 + data/sceneparts/tree1/leaves.224.obj | 21 + data/sceneparts/tree1/leaves.225.obj | 21 + data/sceneparts/tree1/leaves.226.obj | 21 + data/sceneparts/tree1/leaves.227.obj | 21 + data/sceneparts/tree1/leaves.228.obj | 21 + data/sceneparts/tree1/leaves.229.obj | 21 + data/sceneparts/tree1/leaves.230.obj | 21 + data/sceneparts/tree1/leaves.231.obj | 21 + data/sceneparts/tree1/leaves.232.obj | 21 + data/sceneparts/tree1/leaves.233.obj | 21 + data/sceneparts/tree1/leaves.234.obj | 21 + data/sceneparts/tree1/leaves.235.obj | 21 + data/sceneparts/tree1/leaves.236.obj | 21 + data/sceneparts/tree1/leaves.237.obj | 21 + data/sceneparts/tree1/leaves.238.obj | 21 + data/sceneparts/tree1/leaves.239.obj | 21 + data/sceneparts/tree1/leaves.240.obj | 21 + data/sceneparts/tree1/leaves.241.obj | 21 + data/sceneparts/tree1/leaves.242.obj | 21 + data/sceneparts/tree1/leaves.243.obj | 21 + data/sceneparts/tree1/leaves.244.obj | 21 + data/sceneparts/tree1/leaves.245.obj | 21 + data/sceneparts/tree1/leaves.246.obj | 21 + data/sceneparts/tree1/leaves.247.obj | 21 + data/sceneparts/tree1/leaves.248.obj | 21 + data/sceneparts/tree1/leaves.249.obj | 21 + data/sceneparts/tree1/leaves.250.obj | 21 + data/sceneparts/tree1/leaves.251.obj | 21 + data/sceneparts/tree1/leaves.252.obj | 21 + data/sceneparts/tree1/leaves.253.obj | 21 + data/sceneparts/tree1/leaves.254.obj | 22 + data/sceneparts/tree1/leaves.255.obj | 21 + data/sceneparts/tree1/leaves.256.obj | 21 + data/sceneparts/tree1/leaves.257.obj | 21 + data/sceneparts/tree1/leaves.258.obj | 21 + data/sceneparts/tree1/leaves.259.obj | 21 + data/sceneparts/tree1/leaves.260.obj | 21 + data/sceneparts/tree1/leaves.261.obj | 21 + data/sceneparts/tree1/leaves.262.obj | 21 + data/sceneparts/tree1/leaves.263.obj | 21 + data/sceneparts/tree1/leaves.264.obj | 21 + data/sceneparts/tree1/leaves.265.obj | 21 + data/sceneparts/tree1/leaves.266.obj | 21 + data/sceneparts/tree1/leaves.267.obj | 21 + data/sceneparts/tree1/leaves.268.obj | 21 + data/sceneparts/tree1/leaves.269.obj | 21 + data/sceneparts/tree1/leaves.270.obj | 21 + data/sceneparts/tree1/leaves.271.obj | 21 + data/sceneparts/tree1/leaves.272.obj | 21 + data/sceneparts/tree1/leaves.273.obj | 21 + data/sceneparts/tree1/leaves.274.obj | 21 + data/sceneparts/tree1/leaves.obj | 21 + data/sceneparts/tree1/tree.obj | 14839 ++++++ data/sceneparts/tree10/leaves.001.obj | 21 - data/sceneparts/tree10/leaves.002.obj | 21 - data/sceneparts/tree10/leaves.003.obj | 21 - data/sceneparts/tree10/leaves.004.obj | 21 - data/sceneparts/tree10/leaves.005.obj | 21 - data/sceneparts/tree10/leaves.006.obj | 21 - data/sceneparts/tree10/leaves.007.obj | 21 - data/sceneparts/tree10/leaves.008.obj | 21 - data/sceneparts/tree10/leaves.009.obj | 21 - data/sceneparts/tree10/leaves.010.obj | 21 - data/sceneparts/tree10/leaves.011.obj | 21 - data/sceneparts/tree10/leaves.012.obj | 21 - data/sceneparts/tree10/leaves.013.obj | 21 - data/sceneparts/tree10/leaves.014.obj | 21 - data/sceneparts/tree10/leaves.015.obj | 21 - data/sceneparts/tree10/leaves.016.obj | 21 - data/sceneparts/tree10/leaves.017.obj | 21 - data/sceneparts/tree10/leaves.018.obj | 21 - data/sceneparts/tree10/leaves.019.obj | 21 - data/sceneparts/tree10/leaves.020.obj | 21 - data/sceneparts/tree10/leaves.021.obj | 21 - data/sceneparts/tree10/leaves.022.obj | 22 - data/sceneparts/tree10/leaves.023.obj | 21 - data/sceneparts/tree10/leaves.024.obj | 21 - data/sceneparts/tree10/leaves.025.obj | 21 - data/sceneparts/tree10/leaves.026.obj | 21 - data/sceneparts/tree10/leaves.027.obj | 21 - data/sceneparts/tree10/leaves.028.obj | 21 - data/sceneparts/tree10/leaves.029.obj | 21 - data/sceneparts/tree10/leaves.030.obj | 21 - data/sceneparts/tree10/leaves.031.obj | 21 - data/sceneparts/tree10/leaves.032.obj | 21 - data/sceneparts/tree10/leaves.033.obj | 21 - data/sceneparts/tree10/leaves.034.obj | 21 - data/sceneparts/tree10/leaves.035.obj | 21 - data/sceneparts/tree10/leaves.036.obj | 21 - data/sceneparts/tree10/leaves.037.obj | 21 - data/sceneparts/tree10/leaves.038.obj | 21 - data/sceneparts/tree10/leaves.039.obj | 21 - data/sceneparts/tree10/leaves.040.obj | 21 - data/sceneparts/tree10/leaves.041.obj | 21 - data/sceneparts/tree10/leaves.042.obj | 21 - data/sceneparts/tree10/leaves.043.obj | 21 - data/sceneparts/tree10/leaves.044.obj | 21 - data/sceneparts/tree10/leaves.045.obj | 21 - data/sceneparts/tree10/leaves.046.obj | 21 - data/sceneparts/tree10/leaves.047.obj | 21 - data/sceneparts/tree10/leaves.048.obj | 21 - data/sceneparts/tree10/leaves.049.obj | 22 - data/sceneparts/tree10/leaves.050.obj | 21 - data/sceneparts/tree10/leaves.051.obj | 21 - data/sceneparts/tree10/leaves.052.obj | 21 - data/sceneparts/tree10/leaves.053.obj | 21 - data/sceneparts/tree10/leaves.054.obj | 21 - data/sceneparts/tree10/leaves.055.obj | 21 - data/sceneparts/tree10/leaves.056.obj | 21 - data/sceneparts/tree10/leaves.057.obj | 21 - data/sceneparts/tree10/leaves.058.obj | 21 - data/sceneparts/tree10/leaves.059.obj | 21 - data/sceneparts/tree10/leaves.060.obj | 21 - data/sceneparts/tree10/leaves.061.obj | 21 - data/sceneparts/tree10/leaves.062.obj | 21 - data/sceneparts/tree10/leaves.063.obj | 21 - data/sceneparts/tree10/leaves.064.obj | 21 - data/sceneparts/tree10/leaves.065.obj | 21 - data/sceneparts/tree10/leaves.066.obj | 21 - data/sceneparts/tree10/leaves.067.obj | 21 - data/sceneparts/tree10/leaves.068.obj | 21 - data/sceneparts/tree10/leaves.069.obj | 21 - data/sceneparts/tree10/leaves.070.obj | 21 - data/sceneparts/tree10/leaves.071.obj | 21 - data/sceneparts/tree10/leaves.072.obj | 21 - data/sceneparts/tree10/leaves.073.obj | 21 - data/sceneparts/tree10/leaves.074.obj | 21 - data/sceneparts/tree10/leaves.075.obj | 21 - data/sceneparts/tree10/leaves.076.obj | 21 - data/sceneparts/tree10/leaves.077.obj | 21 - data/sceneparts/tree10/leaves.078.obj | 21 - data/sceneparts/tree10/leaves.079.obj | 21 - data/sceneparts/tree10/leaves.080.obj | 21 - data/sceneparts/tree10/leaves.081.obj | 21 - data/sceneparts/tree10/leaves.082.obj | 21 - data/sceneparts/tree10/leaves.083.obj | 21 - data/sceneparts/tree10/leaves.084.obj | 21 - data/sceneparts/tree10/leaves.085.obj | 21 - data/sceneparts/tree10/leaves.086.obj | 21 - data/sceneparts/tree10/leaves.087.obj | 21 - data/sceneparts/tree10/leaves.088.obj | 21 - data/sceneparts/tree10/leaves.089.obj | 21 - data/sceneparts/tree10/leaves.090.obj | 21 - data/sceneparts/tree10/leaves.091.obj | 21 - data/sceneparts/tree10/leaves.092.obj | 21 - data/sceneparts/tree10/leaves.093.obj | 21 - data/sceneparts/tree10/leaves.094.obj | 21 - data/sceneparts/tree10/leaves.095.obj | 21 - data/sceneparts/tree10/leaves.096.obj | 21 - data/sceneparts/tree10/leaves.097.obj | 21 - data/sceneparts/tree10/leaves.098.obj | 21 - data/sceneparts/tree10/leaves.099.obj | 21 - data/sceneparts/tree10/leaves.100.obj | 21 - data/sceneparts/tree10/leaves.101.obj | 21 - data/sceneparts/tree10/leaves.102.obj | 21 - data/sceneparts/tree10/leaves.103.obj | 21 - data/sceneparts/tree10/leaves.104.obj | 21 - data/sceneparts/tree10/leaves.105.obj | 21 - data/sceneparts/tree10/leaves.106.obj | 21 - data/sceneparts/tree10/leaves.107.obj | 21 - data/sceneparts/tree10/leaves.108.obj | 21 - data/sceneparts/tree10/leaves.109.obj | 21 - data/sceneparts/tree10/leaves.110.obj | 21 - data/sceneparts/tree10/leaves.111.obj | 21 - data/sceneparts/tree10/leaves.112.obj | 21 - data/sceneparts/tree10/leaves.113.obj | 21 - data/sceneparts/tree10/leaves.114.obj | 21 - data/sceneparts/tree10/leaves.115.obj | 21 - data/sceneparts/tree10/leaves.116.obj | 21 - data/sceneparts/tree10/leaves.117.obj | 21 - data/sceneparts/tree10/leaves.118.obj | 21 - data/sceneparts/tree10/leaves.119.obj | 21 - data/sceneparts/tree10/leaves.120.obj | 21 - data/sceneparts/tree10/leaves.121.obj | 21 - data/sceneparts/tree10/leaves.122.obj | 21 - data/sceneparts/tree10/leaves.123.obj | 21 - data/sceneparts/tree10/leaves.124.obj | 21 - data/sceneparts/tree10/leaves.125.obj | 21 - data/sceneparts/tree10/leaves.126.obj | 21 - data/sceneparts/tree10/leaves.127.obj | 21 - data/sceneparts/tree10/leaves.128.obj | 21 - data/sceneparts/tree10/leaves.129.obj | 21 - data/sceneparts/tree10/leaves.130.obj | 21 - data/sceneparts/tree10/leaves.131.obj | 21 - data/sceneparts/tree10/leaves.132.obj | 21 - data/sceneparts/tree10/leaves.133.obj | 21 - data/sceneparts/tree10/leaves.134.obj | 21 - data/sceneparts/tree10/leaves.135.obj | 21 - data/sceneparts/tree10/leaves.136.obj | 21 - data/sceneparts/tree10/leaves.137.obj | 21 - data/sceneparts/tree10/leaves.138.obj | 21 - data/sceneparts/tree10/leaves.139.obj | 21 - data/sceneparts/tree10/leaves.140.obj | 21 - data/sceneparts/tree10/leaves.141.obj | 21 - data/sceneparts/tree10/leaves.142.obj | 21 - data/sceneparts/tree10/leaves.143.obj | 21 - data/sceneparts/tree10/leaves.144.obj | 21 - data/sceneparts/tree10/leaves.145.obj | 21 - data/sceneparts/tree10/leaves.146.obj | 21 - data/sceneparts/tree10/leaves.147.obj | 21 - data/sceneparts/tree10/leaves.148.obj | 21 - data/sceneparts/tree10/leaves.149.obj | 21 - data/sceneparts/tree10/leaves.150.obj | 21 - data/sceneparts/tree10/leaves.151.obj | 21 - data/sceneparts/tree10/leaves.152.obj | 21 - data/sceneparts/tree10/leaves.153.obj | 21 - data/sceneparts/tree10/leaves.154.obj | 21 - data/sceneparts/tree10/leaves.155.obj | 21 - data/sceneparts/tree10/leaves.156.obj | 21 - data/sceneparts/tree10/leaves.157.obj | 21 - data/sceneparts/tree10/leaves.158.obj | 21 - data/sceneparts/tree10/leaves.159.obj | 21 - data/sceneparts/tree10/leaves.160.obj | 21 - data/sceneparts/tree10/leaves.161.obj | 21 - data/sceneparts/tree10/leaves.162.obj | 21 - data/sceneparts/tree10/leaves.163.obj | 21 - data/sceneparts/tree10/leaves.164.obj | 21 - data/sceneparts/tree10/leaves.165.obj | 21 - data/sceneparts/tree10/leaves.166.obj | 21 - data/sceneparts/tree10/leaves.167.obj | 21 - data/sceneparts/tree10/leaves.168.obj | 21 - data/sceneparts/tree10/leaves.169.obj | 21 - data/sceneparts/tree10/leaves.170.obj | 21 - data/sceneparts/tree10/leaves.171.obj | 21 - data/sceneparts/tree10/leaves.172.obj | 21 - data/sceneparts/tree10/leaves.173.obj | 21 - data/sceneparts/tree10/leaves.174.obj | 21 - data/sceneparts/tree10/leaves.175.obj | 21 - data/sceneparts/tree10/leaves.176.obj | 21 - data/sceneparts/tree10/leaves.177.obj | 21 - data/sceneparts/tree10/leaves.178.obj | 21 - data/sceneparts/tree10/leaves.179.obj | 21 - data/sceneparts/tree10/leaves.180.obj | 21 - data/sceneparts/tree10/leaves.181.obj | 21 - data/sceneparts/tree10/leaves.182.obj | 21 - data/sceneparts/tree10/leaves.183.obj | 21 - data/sceneparts/tree10/leaves.184.obj | 21 - data/sceneparts/tree10/leaves.185.obj | 21 - data/sceneparts/tree10/leaves.186.obj | 21 - data/sceneparts/tree10/leaves.187.obj | 21 - data/sceneparts/tree10/leaves.188.obj | 22 - data/sceneparts/tree10/leaves.189.obj | 21 - data/sceneparts/tree10/leaves.190.obj | 21 - data/sceneparts/tree10/leaves.191.obj | 21 - data/sceneparts/tree10/leaves.192.obj | 21 - data/sceneparts/tree10/leaves.193.obj | 21 - data/sceneparts/tree10/leaves.194.obj | 21 - data/sceneparts/tree10/leaves.195.obj | 21 - data/sceneparts/tree10/leaves.196.obj | 21 - data/sceneparts/tree10/leaves.197.obj | 21 - data/sceneparts/tree10/leaves.198.obj | 21 - data/sceneparts/tree10/leaves.199.obj | 21 - data/sceneparts/tree10/leaves.200.obj | 21 - data/sceneparts/tree10/leaves.201.obj | 21 - data/sceneparts/tree10/leaves.202.obj | 21 - data/sceneparts/tree10/leaves.203.obj | 21 - data/sceneparts/tree10/leaves.204.obj | 21 - data/sceneparts/tree10/leaves.205.obj | 21 - data/sceneparts/tree10/leaves.206.obj | 21 - data/sceneparts/tree10/leaves.207.obj | 21 - data/sceneparts/tree10/leaves.208.obj | 21 - data/sceneparts/tree10/leaves.209.obj | 21 - data/sceneparts/tree10/leaves.210.obj | 21 - data/sceneparts/tree10/leaves.211.obj | 21 - data/sceneparts/tree10/leaves.212.obj | 21 - data/sceneparts/tree10/leaves.213.obj | 21 - data/sceneparts/tree10/leaves.214.obj | 21 - data/sceneparts/tree10/leaves.215.obj | 21 - data/sceneparts/tree10/leaves.216.obj | 21 - data/sceneparts/tree10/leaves.217.obj | 21 - data/sceneparts/tree10/leaves.218.obj | 21 - data/sceneparts/tree10/leaves.219.obj | 21 - data/sceneparts/tree10/leaves.220.obj | 21 - data/sceneparts/tree10/leaves.221.obj | 21 - data/sceneparts/tree10/leaves.222.obj | 21 - data/sceneparts/tree10/leaves.223.obj | 21 - data/sceneparts/tree10/leaves.224.obj | 21 - data/sceneparts/tree10/leaves.225.obj | 21 - data/sceneparts/tree10/leaves.226.obj | 21 - data/sceneparts/tree10/leaves.227.obj | 22 - data/sceneparts/tree10/leaves.228.obj | 21 - data/sceneparts/tree10/leaves.229.obj | 21 - data/sceneparts/tree10/leaves.230.obj | 21 - data/sceneparts/tree10/leaves.231.obj | 21 - data/sceneparts/tree10/leaves.232.obj | 21 - data/sceneparts/tree10/leaves.233.obj | 21 - data/sceneparts/tree10/leaves.234.obj | 21 - data/sceneparts/tree10/leaves.235.obj | 21 - data/sceneparts/tree10/leaves.236.obj | 21 - data/sceneparts/tree10/leaves.237.obj | 21 - data/sceneparts/tree10/leaves.238.obj | 21 - data/sceneparts/tree10/leaves.239.obj | 21 - data/sceneparts/tree10/leaves.240.obj | 21 - data/sceneparts/tree10/leaves.241.obj | 21 - data/sceneparts/tree10/leaves.242.obj | 21 - data/sceneparts/tree10/leaves.243.obj | 21 - data/sceneparts/tree10/leaves.244.obj | 21 - data/sceneparts/tree10/leaves.245.obj | 21 - data/sceneparts/tree10/leaves.246.obj | 21 - data/sceneparts/tree10/leaves.247.obj | 21 - data/sceneparts/tree10/leaves.248.obj | 21 - data/sceneparts/tree10/leaves.249.obj | 21 - data/sceneparts/tree10/leaves.250.obj | 21 - data/sceneparts/tree10/leaves.251.obj | 21 - data/sceneparts/tree10/leaves.252.obj | 21 - data/sceneparts/tree10/leaves.253.obj | 21 - data/sceneparts/tree10/leaves.254.obj | 22 - data/sceneparts/tree10/leaves.255.obj | 21 - data/sceneparts/tree10/leaves.256.obj | 21 - data/sceneparts/tree10/leaves.257.obj | 21 - data/sceneparts/tree10/leaves.258.obj | 21 - data/sceneparts/tree10/leaves.259.obj | 21 - data/sceneparts/tree10/leaves.260.obj | 21 - data/sceneparts/tree10/leaves.261.obj | 21 - data/sceneparts/tree10/leaves.262.obj | 21 - data/sceneparts/tree10/leaves.263.obj | 21 - data/sceneparts/tree10/leaves.264.obj | 21 - data/sceneparts/tree10/leaves.265.obj | 21 - data/sceneparts/tree10/leaves.266.obj | 21 - data/sceneparts/tree10/leaves.267.obj | 21 - data/sceneparts/tree10/leaves.268.obj | 21 - data/sceneparts/tree10/leaves.269.obj | 21 - data/sceneparts/tree10/leaves.270.obj | 21 - data/sceneparts/tree10/leaves.271.obj | 21 - data/sceneparts/tree10/leaves.272.obj | 21 - data/sceneparts/tree10/leaves.273.obj | 21 - data/sceneparts/tree10/leaves.274.obj | 21 - data/sceneparts/tree10/leaves.275.obj | 21 - data/sceneparts/tree10/leaves.276.obj | 21 - data/sceneparts/tree10/leaves.277.obj | 21 - data/sceneparts/tree10/leaves.278.obj | 21 - data/sceneparts/tree10/leaves.279.obj | 21 - data/sceneparts/tree10/leaves.280.obj | 21 - data/sceneparts/tree10/leaves.281.obj | 21 - data/sceneparts/tree10/leaves.282.obj | 21 - data/sceneparts/tree10/leaves.283.obj | 21 - data/sceneparts/tree10/leaves.284.obj | 21 - data/sceneparts/tree10/leaves.285.obj | 21 - data/sceneparts/tree10/leaves.286.obj | 21 - data/sceneparts/tree10/leaves.287.obj | 21 - data/sceneparts/tree10/leaves.288.obj | 21 - data/sceneparts/tree10/leaves.289.obj | 21 - data/sceneparts/tree10/leaves.290.obj | 21 - data/sceneparts/tree10/leaves.291.obj | 21 - data/sceneparts/tree10/leaves.292.obj | 21 - data/sceneparts/tree10/leaves.293.obj | 21 - data/sceneparts/tree10/leaves.294.obj | 21 - data/sceneparts/tree10/leaves.295.obj | 21 - data/sceneparts/tree10/leaves.296.obj | 21 - data/sceneparts/tree10/leaves.297.obj | 21 - data/sceneparts/tree10/leaves.298.obj | 22 - data/sceneparts/tree10/leaves.299.obj | 21 - data/sceneparts/tree10/leaves.300.obj | 22 - data/sceneparts/tree10/leaves.301.obj | 21 - data/sceneparts/tree10/leaves.302.obj | 22 - data/sceneparts/tree10/leaves.303.obj | 21 - data/sceneparts/tree10/leaves.304.obj | 21 - data/sceneparts/tree10/leaves.305.obj | 21 - data/sceneparts/tree10/leaves.306.obj | 21 - data/sceneparts/tree10/leaves.307.obj | 21 - data/sceneparts/tree10/leaves.308.obj | 21 - data/sceneparts/tree10/leaves.309.obj | 21 - data/sceneparts/tree10/leaves.310.obj | 21 - data/sceneparts/tree10/leaves.311.obj | 21 - data/sceneparts/tree10/leaves.312.obj | 21 - data/sceneparts/tree10/leaves.313.obj | 21 - data/sceneparts/tree10/leaves.314.obj | 21 - data/sceneparts/tree10/leaves.315.obj | 21 - data/sceneparts/tree10/leaves.316.obj | 22 - data/sceneparts/tree10/leaves.317.obj | 21 - data/sceneparts/tree10/leaves.318.obj | 21 - data/sceneparts/tree10/leaves.319.obj | 21 - data/sceneparts/tree10/leaves.320.obj | 22 - data/sceneparts/tree10/leaves.321.obj | 21 - data/sceneparts/tree10/leaves.322.obj | 21 - data/sceneparts/tree10/leaves.323.obj | 21 - data/sceneparts/tree10/leaves.324.obj | 21 - data/sceneparts/tree10/leaves.325.obj | 21 - data/sceneparts/tree10/leaves.326.obj | 21 - data/sceneparts/tree10/leaves.327.obj | 21 - data/sceneparts/tree10/leaves.328.obj | 21 - data/sceneparts/tree10/leaves.329.obj | 21 - data/sceneparts/tree10/leaves.330.obj | 21 - data/sceneparts/tree10/leaves.331.obj | 21 - data/sceneparts/tree10/leaves.332.obj | 21 - data/sceneparts/tree10/leaves.333.obj | 21 - data/sceneparts/tree10/leaves.334.obj | 21 - data/sceneparts/tree10/leaves.335.obj | 21 - data/sceneparts/tree10/leaves.336.obj | 22 - data/sceneparts/tree10/leaves.337.obj | 21 - data/sceneparts/tree10/leaves.338.obj | 21 - data/sceneparts/tree10/leaves.339.obj | 21 - data/sceneparts/tree10/leaves.340.obj | 21 - data/sceneparts/tree10/leaves.341.obj | 21 - data/sceneparts/tree10/leaves.342.obj | 22 - data/sceneparts/tree10/leaves.343.obj | 21 - data/sceneparts/tree10/leaves.344.obj | 21 - data/sceneparts/tree10/leaves.345.obj | 22 - data/sceneparts/tree10/leaves.346.obj | 21 - data/sceneparts/tree10/leaves.347.obj | 22 - data/sceneparts/tree10/leaves.348.obj | 21 - data/sceneparts/tree10/leaves.349.obj | 21 - data/sceneparts/tree10/leaves.350.obj | 21 - data/sceneparts/tree10/leaves.351.obj | 21 - data/sceneparts/tree10/leaves.352.obj | 22 - data/sceneparts/tree10/leaves.353.obj | 21 - data/sceneparts/tree10/leaves.354.obj | 21 - data/sceneparts/tree10/leaves.355.obj | 21 - data/sceneparts/tree10/leaves.356.obj | 21 - data/sceneparts/tree10/leaves.357.obj | 21 - data/sceneparts/tree10/leaves.358.obj | 21 - data/sceneparts/tree10/leaves.359.obj | 21 - data/sceneparts/tree10/leaves.360.obj | 21 - data/sceneparts/tree10/leaves.361.obj | 21 - data/sceneparts/tree10/leaves.362.obj | 22 - data/sceneparts/tree10/leaves.363.obj | 21 - data/sceneparts/tree10/leaves.364.obj | 21 - data/sceneparts/tree10/leaves.365.obj | 22 - data/sceneparts/tree10/leaves.366.obj | 21 - data/sceneparts/tree10/leaves.367.obj | 21 - data/sceneparts/tree10/leaves.368.obj | 21 - data/sceneparts/tree10/leaves.369.obj | 21 - data/sceneparts/tree10/leaves.370.obj | 21 - data/sceneparts/tree10/leaves.371.obj | 21 - data/sceneparts/tree10/leaves.372.obj | 21 - data/sceneparts/tree10/leaves.obj | 21 - data/sceneparts/tree10/tree.obj | 41166 ---------------- data/scenes/movingtrees/tree10_a.xml | 32015 ------------ data/scenes/movingtrees/tree1_a.xml | 23743 +++++++++ .../{tls_tree10_a.xml => tls_tree1_a.xml} | 2 +- example_notebooks/16_tree_dynamic.ipynb | 39 +- 655 files changed, 44391 insertions(+), 81048 deletions(-) rename data/sceneparts/{tree10 => tree1}/leafwood.mtl (100%) create mode 100644 data/sceneparts/tree1/leaves.001.obj create mode 100644 data/sceneparts/tree1/leaves.002.obj create mode 100644 data/sceneparts/tree1/leaves.003.obj create mode 100644 data/sceneparts/tree1/leaves.004.obj create mode 100644 data/sceneparts/tree1/leaves.005.obj create mode 100644 data/sceneparts/tree1/leaves.006.obj create mode 100644 data/sceneparts/tree1/leaves.007.obj create mode 100644 data/sceneparts/tree1/leaves.008.obj create mode 100644 data/sceneparts/tree1/leaves.009.obj create mode 100644 data/sceneparts/tree1/leaves.010.obj create mode 100644 data/sceneparts/tree1/leaves.011.obj create mode 100644 data/sceneparts/tree1/leaves.012.obj create mode 100644 data/sceneparts/tree1/leaves.013.obj create mode 100644 data/sceneparts/tree1/leaves.014.obj create mode 100644 data/sceneparts/tree1/leaves.015.obj create mode 100644 data/sceneparts/tree1/leaves.016.obj create mode 100644 data/sceneparts/tree1/leaves.017.obj create mode 100644 data/sceneparts/tree1/leaves.018.obj create mode 100644 data/sceneparts/tree1/leaves.019.obj create mode 100644 data/sceneparts/tree1/leaves.020.obj create mode 100644 data/sceneparts/tree1/leaves.021.obj create mode 100644 data/sceneparts/tree1/leaves.022.obj create mode 100644 data/sceneparts/tree1/leaves.023.obj create mode 100644 data/sceneparts/tree1/leaves.024.obj create mode 100644 data/sceneparts/tree1/leaves.025.obj create mode 100644 data/sceneparts/tree1/leaves.026.obj create mode 100644 data/sceneparts/tree1/leaves.027.obj create mode 100644 data/sceneparts/tree1/leaves.028.obj create mode 100644 data/sceneparts/tree1/leaves.029.obj create mode 100644 data/sceneparts/tree1/leaves.030.obj create mode 100644 data/sceneparts/tree1/leaves.031.obj create mode 100644 data/sceneparts/tree1/leaves.032.obj create mode 100644 data/sceneparts/tree1/leaves.033.obj create mode 100644 data/sceneparts/tree1/leaves.034.obj create mode 100644 data/sceneparts/tree1/leaves.035.obj create mode 100644 data/sceneparts/tree1/leaves.036.obj create mode 100644 data/sceneparts/tree1/leaves.037.obj create mode 100644 data/sceneparts/tree1/leaves.038.obj create mode 100644 data/sceneparts/tree1/leaves.039.obj create mode 100644 data/sceneparts/tree1/leaves.040.obj create mode 100644 data/sceneparts/tree1/leaves.041.obj create mode 100644 data/sceneparts/tree1/leaves.042.obj create mode 100644 data/sceneparts/tree1/leaves.043.obj create mode 100644 data/sceneparts/tree1/leaves.044.obj create mode 100644 data/sceneparts/tree1/leaves.045.obj create mode 100644 data/sceneparts/tree1/leaves.046.obj create mode 100644 data/sceneparts/tree1/leaves.047.obj create mode 100644 data/sceneparts/tree1/leaves.048.obj create mode 100644 data/sceneparts/tree1/leaves.049.obj create mode 100644 data/sceneparts/tree1/leaves.050.obj create mode 100644 data/sceneparts/tree1/leaves.051.obj create mode 100644 data/sceneparts/tree1/leaves.052.obj create mode 100644 data/sceneparts/tree1/leaves.053.obj create mode 100644 data/sceneparts/tree1/leaves.054.obj create mode 100644 data/sceneparts/tree1/leaves.055.obj create mode 100644 data/sceneparts/tree1/leaves.056.obj create mode 100644 data/sceneparts/tree1/leaves.057.obj create mode 100644 data/sceneparts/tree1/leaves.058.obj create mode 100644 data/sceneparts/tree1/leaves.059.obj create mode 100644 data/sceneparts/tree1/leaves.060.obj create mode 100644 data/sceneparts/tree1/leaves.061.obj create mode 100644 data/sceneparts/tree1/leaves.062.obj create mode 100644 data/sceneparts/tree1/leaves.063.obj create mode 100644 data/sceneparts/tree1/leaves.064.obj create mode 100644 data/sceneparts/tree1/leaves.065.obj create mode 100644 data/sceneparts/tree1/leaves.066.obj create mode 100644 data/sceneparts/tree1/leaves.067.obj create mode 100644 data/sceneparts/tree1/leaves.068.obj create mode 100644 data/sceneparts/tree1/leaves.069.obj create mode 100644 data/sceneparts/tree1/leaves.070.obj create mode 100644 data/sceneparts/tree1/leaves.071.obj create mode 100644 data/sceneparts/tree1/leaves.072.obj create mode 100644 data/sceneparts/tree1/leaves.073.obj create mode 100644 data/sceneparts/tree1/leaves.074.obj create mode 100644 data/sceneparts/tree1/leaves.075.obj create mode 100644 data/sceneparts/tree1/leaves.076.obj create mode 100644 data/sceneparts/tree1/leaves.077.obj create mode 100644 data/sceneparts/tree1/leaves.078.obj create mode 100644 data/sceneparts/tree1/leaves.079.obj create mode 100644 data/sceneparts/tree1/leaves.080.obj create mode 100644 data/sceneparts/tree1/leaves.081.obj create mode 100644 data/sceneparts/tree1/leaves.082.obj create mode 100644 data/sceneparts/tree1/leaves.083.obj create mode 100644 data/sceneparts/tree1/leaves.084.obj create mode 100644 data/sceneparts/tree1/leaves.085.obj create mode 100644 data/sceneparts/tree1/leaves.086.obj create mode 100644 data/sceneparts/tree1/leaves.087.obj create mode 100644 data/sceneparts/tree1/leaves.088.obj create mode 100644 data/sceneparts/tree1/leaves.089.obj create mode 100644 data/sceneparts/tree1/leaves.090.obj create mode 100644 data/sceneparts/tree1/leaves.091.obj create mode 100644 data/sceneparts/tree1/leaves.092.obj create mode 100644 data/sceneparts/tree1/leaves.093.obj create mode 100644 data/sceneparts/tree1/leaves.094.obj create mode 100644 data/sceneparts/tree1/leaves.095.obj create mode 100644 data/sceneparts/tree1/leaves.096.obj create mode 100644 data/sceneparts/tree1/leaves.097.obj create mode 100644 data/sceneparts/tree1/leaves.098.obj create mode 100644 data/sceneparts/tree1/leaves.099.obj create mode 100644 data/sceneparts/tree1/leaves.100.obj create mode 100644 data/sceneparts/tree1/leaves.101.obj create mode 100644 data/sceneparts/tree1/leaves.102.obj create mode 100644 data/sceneparts/tree1/leaves.103.obj create mode 100644 data/sceneparts/tree1/leaves.104.obj create mode 100644 data/sceneparts/tree1/leaves.105.obj create mode 100644 data/sceneparts/tree1/leaves.106.obj create mode 100644 data/sceneparts/tree1/leaves.107.obj create mode 100644 data/sceneparts/tree1/leaves.108.obj create mode 100644 data/sceneparts/tree1/leaves.109.obj create mode 100644 data/sceneparts/tree1/leaves.110.obj create mode 100644 data/sceneparts/tree1/leaves.111.obj create mode 100644 data/sceneparts/tree1/leaves.112.obj create mode 100644 data/sceneparts/tree1/leaves.113.obj create mode 100644 data/sceneparts/tree1/leaves.114.obj create mode 100644 data/sceneparts/tree1/leaves.115.obj create mode 100644 data/sceneparts/tree1/leaves.116.obj create mode 100644 data/sceneparts/tree1/leaves.117.obj create mode 100644 data/sceneparts/tree1/leaves.118.obj create mode 100644 data/sceneparts/tree1/leaves.119.obj create mode 100644 data/sceneparts/tree1/leaves.120.obj create mode 100644 data/sceneparts/tree1/leaves.121.obj create mode 100644 data/sceneparts/tree1/leaves.122.obj create mode 100644 data/sceneparts/tree1/leaves.123.obj create mode 100644 data/sceneparts/tree1/leaves.124.obj create mode 100644 data/sceneparts/tree1/leaves.125.obj create mode 100644 data/sceneparts/tree1/leaves.126.obj create mode 100644 data/sceneparts/tree1/leaves.127.obj create mode 100644 data/sceneparts/tree1/leaves.128.obj create mode 100644 data/sceneparts/tree1/leaves.129.obj create mode 100644 data/sceneparts/tree1/leaves.130.obj create mode 100644 data/sceneparts/tree1/leaves.131.obj create mode 100644 data/sceneparts/tree1/leaves.132.obj create mode 100644 data/sceneparts/tree1/leaves.133.obj create mode 100644 data/sceneparts/tree1/leaves.134.obj create mode 100644 data/sceneparts/tree1/leaves.135.obj create mode 100644 data/sceneparts/tree1/leaves.136.obj create mode 100644 data/sceneparts/tree1/leaves.137.obj create mode 100644 data/sceneparts/tree1/leaves.138.obj create mode 100644 data/sceneparts/tree1/leaves.139.obj create mode 100644 data/sceneparts/tree1/leaves.140.obj create mode 100644 data/sceneparts/tree1/leaves.141.obj create mode 100644 data/sceneparts/tree1/leaves.142.obj create mode 100644 data/sceneparts/tree1/leaves.143.obj create mode 100644 data/sceneparts/tree1/leaves.144.obj create mode 100644 data/sceneparts/tree1/leaves.145.obj create mode 100644 data/sceneparts/tree1/leaves.146.obj create mode 100644 data/sceneparts/tree1/leaves.147.obj create mode 100644 data/sceneparts/tree1/leaves.148.obj create mode 100644 data/sceneparts/tree1/leaves.149.obj create mode 100644 data/sceneparts/tree1/leaves.150.obj create mode 100644 data/sceneparts/tree1/leaves.151.obj create mode 100644 data/sceneparts/tree1/leaves.152.obj create mode 100644 data/sceneparts/tree1/leaves.153.obj create mode 100644 data/sceneparts/tree1/leaves.154.obj create mode 100644 data/sceneparts/tree1/leaves.155.obj create mode 100644 data/sceneparts/tree1/leaves.156.obj create mode 100644 data/sceneparts/tree1/leaves.157.obj create mode 100644 data/sceneparts/tree1/leaves.158.obj create mode 100644 data/sceneparts/tree1/leaves.159.obj create mode 100644 data/sceneparts/tree1/leaves.160.obj create mode 100644 data/sceneparts/tree1/leaves.161.obj create mode 100644 data/sceneparts/tree1/leaves.162.obj create mode 100644 data/sceneparts/tree1/leaves.163.obj create mode 100644 data/sceneparts/tree1/leaves.164.obj create mode 100644 data/sceneparts/tree1/leaves.165.obj create mode 100644 data/sceneparts/tree1/leaves.166.obj create mode 100644 data/sceneparts/tree1/leaves.167.obj create mode 100644 data/sceneparts/tree1/leaves.168.obj create mode 100644 data/sceneparts/tree1/leaves.169.obj create mode 100644 data/sceneparts/tree1/leaves.170.obj create mode 100644 data/sceneparts/tree1/leaves.171.obj create mode 100644 data/sceneparts/tree1/leaves.172.obj create mode 100644 data/sceneparts/tree1/leaves.173.obj create mode 100644 data/sceneparts/tree1/leaves.174.obj create mode 100644 data/sceneparts/tree1/leaves.175.obj create mode 100644 data/sceneparts/tree1/leaves.176.obj create mode 100644 data/sceneparts/tree1/leaves.177.obj create mode 100644 data/sceneparts/tree1/leaves.178.obj create mode 100644 data/sceneparts/tree1/leaves.179.obj create mode 100644 data/sceneparts/tree1/leaves.180.obj create mode 100644 data/sceneparts/tree1/leaves.181.obj create mode 100644 data/sceneparts/tree1/leaves.182.obj create mode 100644 data/sceneparts/tree1/leaves.183.obj create mode 100644 data/sceneparts/tree1/leaves.184.obj create mode 100644 data/sceneparts/tree1/leaves.185.obj create mode 100644 data/sceneparts/tree1/leaves.186.obj create mode 100644 data/sceneparts/tree1/leaves.187.obj create mode 100644 data/sceneparts/tree1/leaves.188.obj create mode 100644 data/sceneparts/tree1/leaves.189.obj create mode 100644 data/sceneparts/tree1/leaves.190.obj create mode 100644 data/sceneparts/tree1/leaves.191.obj create mode 100644 data/sceneparts/tree1/leaves.192.obj create mode 100644 data/sceneparts/tree1/leaves.193.obj create mode 100644 data/sceneparts/tree1/leaves.194.obj create mode 100644 data/sceneparts/tree1/leaves.195.obj create mode 100644 data/sceneparts/tree1/leaves.196.obj create mode 100644 data/sceneparts/tree1/leaves.197.obj create mode 100644 data/sceneparts/tree1/leaves.198.obj create mode 100644 data/sceneparts/tree1/leaves.199.obj create mode 100644 data/sceneparts/tree1/leaves.200.obj create mode 100644 data/sceneparts/tree1/leaves.201.obj create mode 100644 data/sceneparts/tree1/leaves.202.obj create mode 100644 data/sceneparts/tree1/leaves.203.obj create mode 100644 data/sceneparts/tree1/leaves.204.obj create mode 100644 data/sceneparts/tree1/leaves.205.obj create mode 100644 data/sceneparts/tree1/leaves.206.obj create mode 100644 data/sceneparts/tree1/leaves.207.obj create mode 100644 data/sceneparts/tree1/leaves.208.obj create mode 100644 data/sceneparts/tree1/leaves.209.obj create mode 100644 data/sceneparts/tree1/leaves.210.obj create mode 100644 data/sceneparts/tree1/leaves.211.obj create mode 100644 data/sceneparts/tree1/leaves.212.obj create mode 100644 data/sceneparts/tree1/leaves.213.obj create mode 100644 data/sceneparts/tree1/leaves.214.obj create mode 100644 data/sceneparts/tree1/leaves.215.obj create mode 100644 data/sceneparts/tree1/leaves.216.obj create mode 100644 data/sceneparts/tree1/leaves.217.obj create mode 100644 data/sceneparts/tree1/leaves.218.obj create mode 100644 data/sceneparts/tree1/leaves.219.obj create mode 100644 data/sceneparts/tree1/leaves.220.obj create mode 100644 data/sceneparts/tree1/leaves.221.obj create mode 100644 data/sceneparts/tree1/leaves.222.obj create mode 100644 data/sceneparts/tree1/leaves.223.obj create mode 100644 data/sceneparts/tree1/leaves.224.obj create mode 100644 data/sceneparts/tree1/leaves.225.obj create mode 100644 data/sceneparts/tree1/leaves.226.obj create mode 100644 data/sceneparts/tree1/leaves.227.obj create mode 100644 data/sceneparts/tree1/leaves.228.obj create mode 100644 data/sceneparts/tree1/leaves.229.obj create mode 100644 data/sceneparts/tree1/leaves.230.obj create mode 100644 data/sceneparts/tree1/leaves.231.obj create mode 100644 data/sceneparts/tree1/leaves.232.obj create mode 100644 data/sceneparts/tree1/leaves.233.obj create mode 100644 data/sceneparts/tree1/leaves.234.obj create mode 100644 data/sceneparts/tree1/leaves.235.obj create mode 100644 data/sceneparts/tree1/leaves.236.obj create mode 100644 data/sceneparts/tree1/leaves.237.obj create mode 100644 data/sceneparts/tree1/leaves.238.obj create mode 100644 data/sceneparts/tree1/leaves.239.obj create mode 100644 data/sceneparts/tree1/leaves.240.obj create mode 100644 data/sceneparts/tree1/leaves.241.obj create mode 100644 data/sceneparts/tree1/leaves.242.obj create mode 100644 data/sceneparts/tree1/leaves.243.obj create mode 100644 data/sceneparts/tree1/leaves.244.obj create mode 100644 data/sceneparts/tree1/leaves.245.obj create mode 100644 data/sceneparts/tree1/leaves.246.obj create mode 100644 data/sceneparts/tree1/leaves.247.obj create mode 100644 data/sceneparts/tree1/leaves.248.obj create mode 100644 data/sceneparts/tree1/leaves.249.obj create mode 100644 data/sceneparts/tree1/leaves.250.obj create mode 100644 data/sceneparts/tree1/leaves.251.obj create mode 100644 data/sceneparts/tree1/leaves.252.obj create mode 100644 data/sceneparts/tree1/leaves.253.obj create mode 100644 data/sceneparts/tree1/leaves.254.obj create mode 100644 data/sceneparts/tree1/leaves.255.obj create mode 100644 data/sceneparts/tree1/leaves.256.obj create mode 100644 data/sceneparts/tree1/leaves.257.obj create mode 100644 data/sceneparts/tree1/leaves.258.obj create mode 100644 data/sceneparts/tree1/leaves.259.obj create mode 100644 data/sceneparts/tree1/leaves.260.obj create mode 100644 data/sceneparts/tree1/leaves.261.obj create mode 100644 data/sceneparts/tree1/leaves.262.obj create mode 100644 data/sceneparts/tree1/leaves.263.obj create mode 100644 data/sceneparts/tree1/leaves.264.obj create mode 100644 data/sceneparts/tree1/leaves.265.obj create mode 100644 data/sceneparts/tree1/leaves.266.obj create mode 100644 data/sceneparts/tree1/leaves.267.obj create mode 100644 data/sceneparts/tree1/leaves.268.obj create mode 100644 data/sceneparts/tree1/leaves.269.obj create mode 100644 data/sceneparts/tree1/leaves.270.obj create mode 100644 data/sceneparts/tree1/leaves.271.obj create mode 100644 data/sceneparts/tree1/leaves.272.obj create mode 100644 data/sceneparts/tree1/leaves.273.obj create mode 100644 data/sceneparts/tree1/leaves.274.obj create mode 100644 data/sceneparts/tree1/leaves.obj create mode 100644 data/sceneparts/tree1/tree.obj delete mode 100644 data/sceneparts/tree10/leaves.001.obj delete mode 100644 data/sceneparts/tree10/leaves.002.obj delete mode 100644 data/sceneparts/tree10/leaves.003.obj delete mode 100644 data/sceneparts/tree10/leaves.004.obj delete mode 100644 data/sceneparts/tree10/leaves.005.obj delete mode 100644 data/sceneparts/tree10/leaves.006.obj delete mode 100644 data/sceneparts/tree10/leaves.007.obj delete mode 100644 data/sceneparts/tree10/leaves.008.obj delete mode 100644 data/sceneparts/tree10/leaves.009.obj delete mode 100644 data/sceneparts/tree10/leaves.010.obj delete mode 100644 data/sceneparts/tree10/leaves.011.obj delete mode 100644 data/sceneparts/tree10/leaves.012.obj delete mode 100644 data/sceneparts/tree10/leaves.013.obj delete mode 100644 data/sceneparts/tree10/leaves.014.obj delete mode 100644 data/sceneparts/tree10/leaves.015.obj delete mode 100644 data/sceneparts/tree10/leaves.016.obj delete mode 100644 data/sceneparts/tree10/leaves.017.obj delete mode 100644 data/sceneparts/tree10/leaves.018.obj delete mode 100644 data/sceneparts/tree10/leaves.019.obj delete mode 100644 data/sceneparts/tree10/leaves.020.obj delete mode 100644 data/sceneparts/tree10/leaves.021.obj delete mode 100644 data/sceneparts/tree10/leaves.022.obj delete mode 100644 data/sceneparts/tree10/leaves.023.obj delete mode 100644 data/sceneparts/tree10/leaves.024.obj delete mode 100644 data/sceneparts/tree10/leaves.025.obj delete mode 100644 data/sceneparts/tree10/leaves.026.obj delete mode 100644 data/sceneparts/tree10/leaves.027.obj delete mode 100644 data/sceneparts/tree10/leaves.028.obj delete mode 100644 data/sceneparts/tree10/leaves.029.obj delete mode 100644 data/sceneparts/tree10/leaves.030.obj delete mode 100644 data/sceneparts/tree10/leaves.031.obj delete mode 100644 data/sceneparts/tree10/leaves.032.obj delete mode 100644 data/sceneparts/tree10/leaves.033.obj delete mode 100644 data/sceneparts/tree10/leaves.034.obj delete mode 100644 data/sceneparts/tree10/leaves.035.obj delete mode 100644 data/sceneparts/tree10/leaves.036.obj delete mode 100644 data/sceneparts/tree10/leaves.037.obj delete mode 100644 data/sceneparts/tree10/leaves.038.obj delete mode 100644 data/sceneparts/tree10/leaves.039.obj delete mode 100644 data/sceneparts/tree10/leaves.040.obj delete mode 100644 data/sceneparts/tree10/leaves.041.obj delete mode 100644 data/sceneparts/tree10/leaves.042.obj delete mode 100644 data/sceneparts/tree10/leaves.043.obj delete mode 100644 data/sceneparts/tree10/leaves.044.obj delete mode 100644 data/sceneparts/tree10/leaves.045.obj delete mode 100644 data/sceneparts/tree10/leaves.046.obj delete mode 100644 data/sceneparts/tree10/leaves.047.obj delete mode 100644 data/sceneparts/tree10/leaves.048.obj delete mode 100644 data/sceneparts/tree10/leaves.049.obj delete mode 100644 data/sceneparts/tree10/leaves.050.obj delete mode 100644 data/sceneparts/tree10/leaves.051.obj delete mode 100644 data/sceneparts/tree10/leaves.052.obj delete mode 100644 data/sceneparts/tree10/leaves.053.obj delete mode 100644 data/sceneparts/tree10/leaves.054.obj delete mode 100644 data/sceneparts/tree10/leaves.055.obj delete mode 100644 data/sceneparts/tree10/leaves.056.obj delete mode 100644 data/sceneparts/tree10/leaves.057.obj delete mode 100644 data/sceneparts/tree10/leaves.058.obj delete mode 100644 data/sceneparts/tree10/leaves.059.obj delete mode 100644 data/sceneparts/tree10/leaves.060.obj delete mode 100644 data/sceneparts/tree10/leaves.061.obj delete mode 100644 data/sceneparts/tree10/leaves.062.obj delete mode 100644 data/sceneparts/tree10/leaves.063.obj delete mode 100644 data/sceneparts/tree10/leaves.064.obj delete mode 100644 data/sceneparts/tree10/leaves.065.obj delete mode 100644 data/sceneparts/tree10/leaves.066.obj delete mode 100644 data/sceneparts/tree10/leaves.067.obj delete mode 100644 data/sceneparts/tree10/leaves.068.obj delete mode 100644 data/sceneparts/tree10/leaves.069.obj delete mode 100644 data/sceneparts/tree10/leaves.070.obj delete mode 100644 data/sceneparts/tree10/leaves.071.obj delete mode 100644 data/sceneparts/tree10/leaves.072.obj delete mode 100644 data/sceneparts/tree10/leaves.073.obj delete mode 100644 data/sceneparts/tree10/leaves.074.obj delete mode 100644 data/sceneparts/tree10/leaves.075.obj delete mode 100644 data/sceneparts/tree10/leaves.076.obj delete mode 100644 data/sceneparts/tree10/leaves.077.obj delete mode 100644 data/sceneparts/tree10/leaves.078.obj delete mode 100644 data/sceneparts/tree10/leaves.079.obj delete mode 100644 data/sceneparts/tree10/leaves.080.obj delete mode 100644 data/sceneparts/tree10/leaves.081.obj delete mode 100644 data/sceneparts/tree10/leaves.082.obj delete mode 100644 data/sceneparts/tree10/leaves.083.obj delete mode 100644 data/sceneparts/tree10/leaves.084.obj delete mode 100644 data/sceneparts/tree10/leaves.085.obj delete mode 100644 data/sceneparts/tree10/leaves.086.obj delete mode 100644 data/sceneparts/tree10/leaves.087.obj delete mode 100644 data/sceneparts/tree10/leaves.088.obj delete mode 100644 data/sceneparts/tree10/leaves.089.obj delete mode 100644 data/sceneparts/tree10/leaves.090.obj delete mode 100644 data/sceneparts/tree10/leaves.091.obj delete mode 100644 data/sceneparts/tree10/leaves.092.obj delete mode 100644 data/sceneparts/tree10/leaves.093.obj delete mode 100644 data/sceneparts/tree10/leaves.094.obj delete mode 100644 data/sceneparts/tree10/leaves.095.obj delete mode 100644 data/sceneparts/tree10/leaves.096.obj delete mode 100644 data/sceneparts/tree10/leaves.097.obj delete mode 100644 data/sceneparts/tree10/leaves.098.obj delete mode 100644 data/sceneparts/tree10/leaves.099.obj delete mode 100644 data/sceneparts/tree10/leaves.100.obj delete mode 100644 data/sceneparts/tree10/leaves.101.obj delete mode 100644 data/sceneparts/tree10/leaves.102.obj delete mode 100644 data/sceneparts/tree10/leaves.103.obj delete mode 100644 data/sceneparts/tree10/leaves.104.obj delete mode 100644 data/sceneparts/tree10/leaves.105.obj delete mode 100644 data/sceneparts/tree10/leaves.106.obj delete mode 100644 data/sceneparts/tree10/leaves.107.obj delete mode 100644 data/sceneparts/tree10/leaves.108.obj delete mode 100644 data/sceneparts/tree10/leaves.109.obj delete mode 100644 data/sceneparts/tree10/leaves.110.obj delete mode 100644 data/sceneparts/tree10/leaves.111.obj delete mode 100644 data/sceneparts/tree10/leaves.112.obj delete mode 100644 data/sceneparts/tree10/leaves.113.obj delete mode 100644 data/sceneparts/tree10/leaves.114.obj delete mode 100644 data/sceneparts/tree10/leaves.115.obj delete mode 100644 data/sceneparts/tree10/leaves.116.obj delete mode 100644 data/sceneparts/tree10/leaves.117.obj delete mode 100644 data/sceneparts/tree10/leaves.118.obj delete mode 100644 data/sceneparts/tree10/leaves.119.obj delete mode 100644 data/sceneparts/tree10/leaves.120.obj delete mode 100644 data/sceneparts/tree10/leaves.121.obj delete mode 100644 data/sceneparts/tree10/leaves.122.obj delete mode 100644 data/sceneparts/tree10/leaves.123.obj delete mode 100644 data/sceneparts/tree10/leaves.124.obj delete mode 100644 data/sceneparts/tree10/leaves.125.obj delete mode 100644 data/sceneparts/tree10/leaves.126.obj delete mode 100644 data/sceneparts/tree10/leaves.127.obj delete mode 100644 data/sceneparts/tree10/leaves.128.obj delete mode 100644 data/sceneparts/tree10/leaves.129.obj delete mode 100644 data/sceneparts/tree10/leaves.130.obj delete mode 100644 data/sceneparts/tree10/leaves.131.obj delete mode 100644 data/sceneparts/tree10/leaves.132.obj delete mode 100644 data/sceneparts/tree10/leaves.133.obj delete mode 100644 data/sceneparts/tree10/leaves.134.obj delete mode 100644 data/sceneparts/tree10/leaves.135.obj delete mode 100644 data/sceneparts/tree10/leaves.136.obj delete mode 100644 data/sceneparts/tree10/leaves.137.obj delete mode 100644 data/sceneparts/tree10/leaves.138.obj delete mode 100644 data/sceneparts/tree10/leaves.139.obj delete mode 100644 data/sceneparts/tree10/leaves.140.obj delete mode 100644 data/sceneparts/tree10/leaves.141.obj delete mode 100644 data/sceneparts/tree10/leaves.142.obj delete mode 100644 data/sceneparts/tree10/leaves.143.obj delete mode 100644 data/sceneparts/tree10/leaves.144.obj delete mode 100644 data/sceneparts/tree10/leaves.145.obj delete mode 100644 data/sceneparts/tree10/leaves.146.obj delete mode 100644 data/sceneparts/tree10/leaves.147.obj delete mode 100644 data/sceneparts/tree10/leaves.148.obj delete mode 100644 data/sceneparts/tree10/leaves.149.obj delete mode 100644 data/sceneparts/tree10/leaves.150.obj delete mode 100644 data/sceneparts/tree10/leaves.151.obj delete mode 100644 data/sceneparts/tree10/leaves.152.obj delete mode 100644 data/sceneparts/tree10/leaves.153.obj delete mode 100644 data/sceneparts/tree10/leaves.154.obj delete mode 100644 data/sceneparts/tree10/leaves.155.obj delete mode 100644 data/sceneparts/tree10/leaves.156.obj delete mode 100644 data/sceneparts/tree10/leaves.157.obj delete mode 100644 data/sceneparts/tree10/leaves.158.obj delete mode 100644 data/sceneparts/tree10/leaves.159.obj delete mode 100644 data/sceneparts/tree10/leaves.160.obj delete mode 100644 data/sceneparts/tree10/leaves.161.obj delete mode 100644 data/sceneparts/tree10/leaves.162.obj delete mode 100644 data/sceneparts/tree10/leaves.163.obj delete mode 100644 data/sceneparts/tree10/leaves.164.obj delete mode 100644 data/sceneparts/tree10/leaves.165.obj delete mode 100644 data/sceneparts/tree10/leaves.166.obj delete mode 100644 data/sceneparts/tree10/leaves.167.obj delete mode 100644 data/sceneparts/tree10/leaves.168.obj delete mode 100644 data/sceneparts/tree10/leaves.169.obj delete mode 100644 data/sceneparts/tree10/leaves.170.obj delete mode 100644 data/sceneparts/tree10/leaves.171.obj delete mode 100644 data/sceneparts/tree10/leaves.172.obj delete mode 100644 data/sceneparts/tree10/leaves.173.obj delete mode 100644 data/sceneparts/tree10/leaves.174.obj delete mode 100644 data/sceneparts/tree10/leaves.175.obj delete mode 100644 data/sceneparts/tree10/leaves.176.obj delete mode 100644 data/sceneparts/tree10/leaves.177.obj delete mode 100644 data/sceneparts/tree10/leaves.178.obj delete mode 100644 data/sceneparts/tree10/leaves.179.obj delete mode 100644 data/sceneparts/tree10/leaves.180.obj delete mode 100644 data/sceneparts/tree10/leaves.181.obj delete mode 100644 data/sceneparts/tree10/leaves.182.obj delete mode 100644 data/sceneparts/tree10/leaves.183.obj delete mode 100644 data/sceneparts/tree10/leaves.184.obj delete mode 100644 data/sceneparts/tree10/leaves.185.obj delete mode 100644 data/sceneparts/tree10/leaves.186.obj delete mode 100644 data/sceneparts/tree10/leaves.187.obj delete mode 100644 data/sceneparts/tree10/leaves.188.obj delete mode 100644 data/sceneparts/tree10/leaves.189.obj delete mode 100644 data/sceneparts/tree10/leaves.190.obj delete mode 100644 data/sceneparts/tree10/leaves.191.obj delete mode 100644 data/sceneparts/tree10/leaves.192.obj delete mode 100644 data/sceneparts/tree10/leaves.193.obj delete mode 100644 data/sceneparts/tree10/leaves.194.obj delete mode 100644 data/sceneparts/tree10/leaves.195.obj delete mode 100644 data/sceneparts/tree10/leaves.196.obj delete mode 100644 data/sceneparts/tree10/leaves.197.obj delete mode 100644 data/sceneparts/tree10/leaves.198.obj delete mode 100644 data/sceneparts/tree10/leaves.199.obj delete mode 100644 data/sceneparts/tree10/leaves.200.obj delete mode 100644 data/sceneparts/tree10/leaves.201.obj delete mode 100644 data/sceneparts/tree10/leaves.202.obj delete mode 100644 data/sceneparts/tree10/leaves.203.obj delete mode 100644 data/sceneparts/tree10/leaves.204.obj delete mode 100644 data/sceneparts/tree10/leaves.205.obj delete mode 100644 data/sceneparts/tree10/leaves.206.obj delete mode 100644 data/sceneparts/tree10/leaves.207.obj delete mode 100644 data/sceneparts/tree10/leaves.208.obj delete mode 100644 data/sceneparts/tree10/leaves.209.obj delete mode 100644 data/sceneparts/tree10/leaves.210.obj delete mode 100644 data/sceneparts/tree10/leaves.211.obj delete mode 100644 data/sceneparts/tree10/leaves.212.obj delete mode 100644 data/sceneparts/tree10/leaves.213.obj delete mode 100644 data/sceneparts/tree10/leaves.214.obj delete mode 100644 data/sceneparts/tree10/leaves.215.obj delete mode 100644 data/sceneparts/tree10/leaves.216.obj delete mode 100644 data/sceneparts/tree10/leaves.217.obj delete mode 100644 data/sceneparts/tree10/leaves.218.obj delete mode 100644 data/sceneparts/tree10/leaves.219.obj delete mode 100644 data/sceneparts/tree10/leaves.220.obj delete mode 100644 data/sceneparts/tree10/leaves.221.obj delete mode 100644 data/sceneparts/tree10/leaves.222.obj delete mode 100644 data/sceneparts/tree10/leaves.223.obj delete mode 100644 data/sceneparts/tree10/leaves.224.obj delete mode 100644 data/sceneparts/tree10/leaves.225.obj delete mode 100644 data/sceneparts/tree10/leaves.226.obj delete mode 100644 data/sceneparts/tree10/leaves.227.obj delete mode 100644 data/sceneparts/tree10/leaves.228.obj delete mode 100644 data/sceneparts/tree10/leaves.229.obj delete mode 100644 data/sceneparts/tree10/leaves.230.obj delete mode 100644 data/sceneparts/tree10/leaves.231.obj delete mode 100644 data/sceneparts/tree10/leaves.232.obj delete mode 100644 data/sceneparts/tree10/leaves.233.obj delete mode 100644 data/sceneparts/tree10/leaves.234.obj delete mode 100644 data/sceneparts/tree10/leaves.235.obj delete mode 100644 data/sceneparts/tree10/leaves.236.obj delete mode 100644 data/sceneparts/tree10/leaves.237.obj delete mode 100644 data/sceneparts/tree10/leaves.238.obj delete mode 100644 data/sceneparts/tree10/leaves.239.obj delete mode 100644 data/sceneparts/tree10/leaves.240.obj delete mode 100644 data/sceneparts/tree10/leaves.241.obj delete mode 100644 data/sceneparts/tree10/leaves.242.obj delete mode 100644 data/sceneparts/tree10/leaves.243.obj delete mode 100644 data/sceneparts/tree10/leaves.244.obj delete mode 100644 data/sceneparts/tree10/leaves.245.obj delete mode 100644 data/sceneparts/tree10/leaves.246.obj delete mode 100644 data/sceneparts/tree10/leaves.247.obj delete mode 100644 data/sceneparts/tree10/leaves.248.obj delete mode 100644 data/sceneparts/tree10/leaves.249.obj delete mode 100644 data/sceneparts/tree10/leaves.250.obj delete mode 100644 data/sceneparts/tree10/leaves.251.obj delete mode 100644 data/sceneparts/tree10/leaves.252.obj delete mode 100644 data/sceneparts/tree10/leaves.253.obj delete mode 100644 data/sceneparts/tree10/leaves.254.obj delete mode 100644 data/sceneparts/tree10/leaves.255.obj delete mode 100644 data/sceneparts/tree10/leaves.256.obj delete mode 100644 data/sceneparts/tree10/leaves.257.obj delete mode 100644 data/sceneparts/tree10/leaves.258.obj delete mode 100644 data/sceneparts/tree10/leaves.259.obj delete mode 100644 data/sceneparts/tree10/leaves.260.obj delete mode 100644 data/sceneparts/tree10/leaves.261.obj delete mode 100644 data/sceneparts/tree10/leaves.262.obj delete mode 100644 data/sceneparts/tree10/leaves.263.obj delete mode 100644 data/sceneparts/tree10/leaves.264.obj delete mode 100644 data/sceneparts/tree10/leaves.265.obj delete mode 100644 data/sceneparts/tree10/leaves.266.obj delete mode 100644 data/sceneparts/tree10/leaves.267.obj delete mode 100644 data/sceneparts/tree10/leaves.268.obj delete mode 100644 data/sceneparts/tree10/leaves.269.obj delete mode 100644 data/sceneparts/tree10/leaves.270.obj delete mode 100644 data/sceneparts/tree10/leaves.271.obj delete mode 100644 data/sceneparts/tree10/leaves.272.obj delete mode 100644 data/sceneparts/tree10/leaves.273.obj delete mode 100644 data/sceneparts/tree10/leaves.274.obj delete mode 100644 data/sceneparts/tree10/leaves.275.obj delete mode 100644 data/sceneparts/tree10/leaves.276.obj delete mode 100644 data/sceneparts/tree10/leaves.277.obj delete mode 100644 data/sceneparts/tree10/leaves.278.obj delete mode 100644 data/sceneparts/tree10/leaves.279.obj delete mode 100644 data/sceneparts/tree10/leaves.280.obj delete mode 100644 data/sceneparts/tree10/leaves.281.obj delete mode 100644 data/sceneparts/tree10/leaves.282.obj delete mode 100644 data/sceneparts/tree10/leaves.283.obj delete mode 100644 data/sceneparts/tree10/leaves.284.obj delete mode 100644 data/sceneparts/tree10/leaves.285.obj delete mode 100644 data/sceneparts/tree10/leaves.286.obj delete mode 100644 data/sceneparts/tree10/leaves.287.obj delete mode 100644 data/sceneparts/tree10/leaves.288.obj delete mode 100644 data/sceneparts/tree10/leaves.289.obj delete mode 100644 data/sceneparts/tree10/leaves.290.obj delete mode 100644 data/sceneparts/tree10/leaves.291.obj delete mode 100644 data/sceneparts/tree10/leaves.292.obj delete mode 100644 data/sceneparts/tree10/leaves.293.obj delete mode 100644 data/sceneparts/tree10/leaves.294.obj delete mode 100644 data/sceneparts/tree10/leaves.295.obj delete mode 100644 data/sceneparts/tree10/leaves.296.obj delete mode 100644 data/sceneparts/tree10/leaves.297.obj delete mode 100644 data/sceneparts/tree10/leaves.298.obj delete mode 100644 data/sceneparts/tree10/leaves.299.obj delete mode 100644 data/sceneparts/tree10/leaves.300.obj delete mode 100644 data/sceneparts/tree10/leaves.301.obj delete mode 100644 data/sceneparts/tree10/leaves.302.obj delete mode 100644 data/sceneparts/tree10/leaves.303.obj delete mode 100644 data/sceneparts/tree10/leaves.304.obj delete mode 100644 data/sceneparts/tree10/leaves.305.obj delete mode 100644 data/sceneparts/tree10/leaves.306.obj delete mode 100644 data/sceneparts/tree10/leaves.307.obj delete mode 100644 data/sceneparts/tree10/leaves.308.obj delete mode 100644 data/sceneparts/tree10/leaves.309.obj delete mode 100644 data/sceneparts/tree10/leaves.310.obj delete mode 100644 data/sceneparts/tree10/leaves.311.obj delete mode 100644 data/sceneparts/tree10/leaves.312.obj delete mode 100644 data/sceneparts/tree10/leaves.313.obj delete mode 100644 data/sceneparts/tree10/leaves.314.obj delete mode 100644 data/sceneparts/tree10/leaves.315.obj delete mode 100644 data/sceneparts/tree10/leaves.316.obj delete mode 100644 data/sceneparts/tree10/leaves.317.obj delete mode 100644 data/sceneparts/tree10/leaves.318.obj delete mode 100644 data/sceneparts/tree10/leaves.319.obj delete mode 100644 data/sceneparts/tree10/leaves.320.obj delete mode 100644 data/sceneparts/tree10/leaves.321.obj delete mode 100644 data/sceneparts/tree10/leaves.322.obj delete mode 100644 data/sceneparts/tree10/leaves.323.obj delete mode 100644 data/sceneparts/tree10/leaves.324.obj delete mode 100644 data/sceneparts/tree10/leaves.325.obj delete mode 100644 data/sceneparts/tree10/leaves.326.obj delete mode 100644 data/sceneparts/tree10/leaves.327.obj delete mode 100644 data/sceneparts/tree10/leaves.328.obj delete mode 100644 data/sceneparts/tree10/leaves.329.obj delete mode 100644 data/sceneparts/tree10/leaves.330.obj delete mode 100644 data/sceneparts/tree10/leaves.331.obj delete mode 100644 data/sceneparts/tree10/leaves.332.obj delete mode 100644 data/sceneparts/tree10/leaves.333.obj delete mode 100644 data/sceneparts/tree10/leaves.334.obj delete mode 100644 data/sceneparts/tree10/leaves.335.obj delete mode 100644 data/sceneparts/tree10/leaves.336.obj delete mode 100644 data/sceneparts/tree10/leaves.337.obj delete mode 100644 data/sceneparts/tree10/leaves.338.obj delete mode 100644 data/sceneparts/tree10/leaves.339.obj delete mode 100644 data/sceneparts/tree10/leaves.340.obj delete mode 100644 data/sceneparts/tree10/leaves.341.obj delete mode 100644 data/sceneparts/tree10/leaves.342.obj delete mode 100644 data/sceneparts/tree10/leaves.343.obj delete mode 100644 data/sceneparts/tree10/leaves.344.obj delete mode 100644 data/sceneparts/tree10/leaves.345.obj delete mode 100644 data/sceneparts/tree10/leaves.346.obj delete mode 100644 data/sceneparts/tree10/leaves.347.obj delete mode 100644 data/sceneparts/tree10/leaves.348.obj delete mode 100644 data/sceneparts/tree10/leaves.349.obj delete mode 100644 data/sceneparts/tree10/leaves.350.obj delete mode 100644 data/sceneparts/tree10/leaves.351.obj delete mode 100644 data/sceneparts/tree10/leaves.352.obj delete mode 100644 data/sceneparts/tree10/leaves.353.obj delete mode 100644 data/sceneparts/tree10/leaves.354.obj delete mode 100644 data/sceneparts/tree10/leaves.355.obj delete mode 100644 data/sceneparts/tree10/leaves.356.obj delete mode 100644 data/sceneparts/tree10/leaves.357.obj delete mode 100644 data/sceneparts/tree10/leaves.358.obj delete mode 100644 data/sceneparts/tree10/leaves.359.obj delete mode 100644 data/sceneparts/tree10/leaves.360.obj delete mode 100644 data/sceneparts/tree10/leaves.361.obj delete mode 100644 data/sceneparts/tree10/leaves.362.obj delete mode 100644 data/sceneparts/tree10/leaves.363.obj delete mode 100644 data/sceneparts/tree10/leaves.364.obj delete mode 100644 data/sceneparts/tree10/leaves.365.obj delete mode 100644 data/sceneparts/tree10/leaves.366.obj delete mode 100644 data/sceneparts/tree10/leaves.367.obj delete mode 100644 data/sceneparts/tree10/leaves.368.obj delete mode 100644 data/sceneparts/tree10/leaves.369.obj delete mode 100644 data/sceneparts/tree10/leaves.370.obj delete mode 100644 data/sceneparts/tree10/leaves.371.obj delete mode 100644 data/sceneparts/tree10/leaves.372.obj delete mode 100644 data/sceneparts/tree10/leaves.obj delete mode 100644 data/sceneparts/tree10/tree.obj delete mode 100644 data/scenes/movingtrees/tree10_a.xml create mode 100644 data/scenes/movingtrees/tree1_a.xml rename data/surveys/movingtrees_tls/{tls_tree10_a.xml => tls_tree1_a.xml} (90%) diff --git a/data/sceneparts/tree10/leafwood.mtl b/data/sceneparts/tree1/leafwood.mtl similarity index 100% rename from data/sceneparts/tree10/leafwood.mtl rename to data/sceneparts/tree1/leafwood.mtl diff --git a/data/sceneparts/tree1/leaves.001.obj b/data/sceneparts/tree1/leaves.001.obj new file mode 100644 index 000000000..340a6963b --- /dev/null +++ b/data/sceneparts/tree1/leaves.001.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.001 +v 0.028548 0.033077 0.823778 +v 0.040254 -0.018814 0.825170 +v 0.125716 -0.049797 0.822975 +v 0.081620 0.029719 0.821852 +v 0.114010 0.002094 0.821584 +v 0.072644 -0.046439 0.824902 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0385 0.0355 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.002.obj b/data/sceneparts/tree1/leaves.002.obj new file mode 100644 index 000000000..95e982279 --- /dev/null +++ b/data/sceneparts/tree1/leaves.002.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.002 +v 0.046178 0.049640 0.826963 +v 0.055748 0.090417 0.871054 +v 0.070406 0.191443 0.851610 +v 0.052759 0.103399 0.799303 +v 0.060835 0.150666 0.807519 +v 0.063824 0.137684 0.879270 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9853 0.1563 0.0693 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.003.obj b/data/sceneparts/tree1/leaves.003.obj new file mode 100644 index 000000000..65b96a33d --- /dev/null +++ b/data/sceneparts/tree1/leaves.003.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.003 +v 0.064233 0.069197 0.828165 +v 0.115027 0.071080 0.814305 +v 0.177923 0.109755 0.865814 +v 0.089233 0.094353 0.867125 +v 0.127129 0.107872 0.879675 +v 0.152924 0.084600 0.826855 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1584 -0.8727 0.4619 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.004.obj b/data/sceneparts/tree1/leaves.004.obj new file mode 100644 index 000000000..43da0f61a --- /dev/null +++ b/data/sceneparts/tree1/leaves.004.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.004 +v 0.078188 0.087962 0.826063 +v 0.071361 0.128048 0.799998 +v 0.128984 0.158461 0.749336 +v 0.118879 0.094875 0.800977 +v 0.135811 0.118375 0.775401 +v 0.088293 0.151548 0.774423 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3686 -0.5500 -0.7494 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.005.obj b/data/sceneparts/tree1/leaves.005.obj new file mode 100644 index 000000000..fa31bfb8a --- /dev/null +++ b/data/sceneparts/tree1/leaves.005.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.005 +v 0.091346 0.105986 0.823940 +v 0.124014 0.125275 0.861704 +v 0.124131 0.213341 0.886427 +v 0.080535 0.158267 0.827833 +v 0.091463 0.194052 0.848662 +v 0.134942 0.161060 0.882533 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6905 -0.1947 0.6967 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.006.obj b/data/sceneparts/tree1/leaves.006.obj new file mode 100644 index 000000000..994e2f87a --- /dev/null +++ b/data/sceneparts/tree1/leaves.006.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.006 +v 0.108295 0.124181 0.825647 +v 0.146010 0.137257 0.800049 +v 0.220434 0.142656 0.831642 +v 0.145339 0.123422 0.855242 +v 0.182719 0.129580 0.857241 +v 0.183390 0.143415 0.802048 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1703 -0.9563 -0.2376 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.007.obj b/data/sceneparts/tree1/leaves.007.obj new file mode 100644 index 000000000..ee9d2df90 --- /dev/null +++ b/data/sceneparts/tree1/leaves.007.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.007 +v 0.127465 0.138307 0.833223 +v 0.125204 0.173601 0.859672 +v 0.160233 0.238542 0.843847 +v 0.151572 0.169837 0.813857 +v 0.162494 0.203248 0.817398 +v 0.136127 0.207012 0.863213 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8105 0.3171 -0.4925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.008.obj b/data/sceneparts/tree1/leaves.008.obj new file mode 100644 index 000000000..dbbcdd22a --- /dev/null +++ b/data/sceneparts/tree1/leaves.008.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.008 +v 0.145349 0.147720 0.843641 +v 0.171113 0.129340 0.870995 +v 0.193870 0.162008 0.930364 +v 0.151932 0.175625 0.874102 +v 0.168105 0.180387 0.903009 +v 0.187287 0.134103 0.899903 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7877 -0.3600 0.5000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.009.obj b/data/sceneparts/tree1/leaves.009.obj new file mode 100644 index 000000000..c196c1521 --- /dev/null +++ b/data/sceneparts/tree1/leaves.009.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.009 +v 0.163624 0.158733 0.853154 +v 0.123984 0.140360 0.853154 +v 0.113972 0.066375 0.853154 +v 0.170163 0.115534 0.853154 +v 0.153612 0.084748 0.853154 +v 0.107433 0.109574 0.853154 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.010.obj b/data/sceneparts/tree1/leaves.010.obj new file mode 100644 index 000000000..2715359d8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.010.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.010 +v 0.182706 0.175949 0.858186 +v 0.196409 0.193314 0.890292 +v 0.198003 0.259543 0.897349 +v 0.179201 0.214314 0.852189 +v 0.184300 0.242178 0.865243 +v 0.201508 0.221179 0.903346 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9154 -0.0208 0.4020 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.011.obj b/data/sceneparts/tree1/leaves.011.obj new file mode 100644 index 000000000..841c1fdff --- /dev/null +++ b/data/sceneparts/tree1/leaves.011.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.011 +v 0.197502 0.193648 0.858400 +v 0.223074 0.187896 0.839771 +v 0.251324 0.228045 0.815087 +v 0.207812 0.222332 0.848154 +v 0.225752 0.233797 0.833716 +v 0.241014 0.199362 0.825333 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5977 0.0705 0.7986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.012.obj b/data/sceneparts/tree1/leaves.012.obj new file mode 100644 index 000000000..310da878e --- /dev/null +++ b/data/sceneparts/tree1/leaves.012.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.012 +v 0.210531 0.211878 0.856354 +v 0.189655 0.233488 0.853459 +v 0.150067 0.238416 0.886158 +v 0.191099 0.207961 0.879118 +v 0.170944 0.216807 0.889053 +v 0.169500 0.242334 0.863394 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5494 0.6076 0.5736 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.013.obj b/data/sceneparts/tree1/leaves.013.obj new file mode 100644 index 000000000..c8f74a8ae --- /dev/null +++ b/data/sceneparts/tree1/leaves.013.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.013 +v 0.225666 0.232196 0.854703 +v 0.256731 0.239984 0.853334 +v 0.276888 0.274363 0.815754 +v 0.228749 0.252519 0.830105 +v 0.245823 0.266575 0.817122 +v 0.273805 0.254040 0.840351 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1660 0.7703 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.014.obj b/data/sceneparts/tree1/leaves.014.obj new file mode 100644 index 000000000..c50cf2de3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.014.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.014 +v -0.047505 0.045879 0.834679 +v -0.083469 0.074379 0.794471 +v -0.100918 0.177113 0.797727 +v -0.047150 0.104868 0.850252 +v -0.064954 0.148613 0.837935 +v -0.101274 0.118124 0.782153 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7879 0.1527 -0.5965 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.015.obj b/data/sceneparts/tree1/leaves.015.obj new file mode 100644 index 000000000..51fd2abbf --- /dev/null +++ b/data/sceneparts/tree1/leaves.015.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.015 +v -0.103283 0.072638 0.842150 +v -0.156844 0.074310 0.821214 +v -0.216524 -0.003808 0.822203 +v -0.125215 0.020001 0.849788 +v -0.162962 -0.005481 0.843139 +v -0.194591 0.048829 0.814565 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3428 0.2733 0.8988 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.016.obj b/data/sceneparts/tree1/leaves.016.obj new file mode 100644 index 000000000..b3593e854 --- /dev/null +++ b/data/sceneparts/tree1/leaves.016.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.016 +v -0.159623 0.059015 0.847690 +v -0.199977 0.085969 0.846315 +v -0.252318 0.091326 0.910455 +v -0.181066 0.053601 0.890908 +v -0.211964 0.064371 0.911830 +v -0.230875 0.096740 0.867237 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5116 0.7838 0.3520 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.017.obj b/data/sceneparts/tree1/leaves.017.obj new file mode 100644 index 000000000..080bf43ef --- /dev/null +++ b/data/sceneparts/tree1/leaves.017.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.017 +v -0.218730 0.051876 0.868755 +v -0.262571 0.026951 0.870799 +v -0.338735 0.067217 0.874836 +v -0.254892 0.087029 0.870764 +v -0.294894 0.092143 0.872791 +v -0.302572 0.032065 0.872826 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0499 0.0058 -0.9987 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.018.obj b/data/sceneparts/tree1/leaves.018.obj new file mode 100644 index 000000000..da724a022 --- /dev/null +++ b/data/sceneparts/tree1/leaves.018.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.018 +v -0.265548 0.060197 0.902391 +v -0.277965 0.078789 0.939348 +v -0.320503 0.044313 0.988842 +v -0.289767 0.031016 0.923068 +v -0.308086 0.025722 0.951885 +v -0.296284 0.073494 0.968165 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8168 -0.3564 0.4537 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.019.obj b/data/sceneparts/tree1/leaves.019.obj new file mode 100644 index 000000000..2285eddac --- /dev/null +++ b/data/sceneparts/tree1/leaves.019.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.019 +v -0.325802 0.052934 0.910806 +v -0.336505 0.086928 0.906068 +v -0.395592 0.102377 0.899392 +v -0.361626 0.051902 0.907935 +v -0.384889 0.068383 0.904130 +v -0.359768 0.103410 0.902263 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0826 0.1120 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.020.obj b/data/sceneparts/tree1/leaves.020.obj new file mode 100644 index 000000000..f4f8f3077 --- /dev/null +++ b/data/sceneparts/tree1/leaves.020.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.020 +v -0.380678 0.035299 0.896836 +v -0.407822 0.012692 0.907676 +v -0.396745 -0.042038 0.937151 +v -0.364246 0.006349 0.912873 +v -0.369601 -0.019430 0.926312 +v -0.413177 -0.013087 0.921114 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0372 0.4680 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.021.obj b/data/sceneparts/tree1/leaves.021.obj new file mode 100644 index 000000000..8125690ef --- /dev/null +++ b/data/sceneparts/tree1/leaves.021.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.021 +v -0.391379 0.032277 0.894941 +v -0.415999 0.043890 0.902846 +v -0.458489 0.021338 0.897157 +v -0.411498 0.013372 0.888513 +v -0.433868 0.009725 0.889252 +v -0.438369 0.040244 0.903585 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0970 -0.4113 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.022.obj b/data/sceneparts/tree1/leaves.022.obj new file mode 100644 index 000000000..3781d282f --- /dev/null +++ b/data/sceneparts/tree1/leaves.022.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.022 +v -0.094716 0.081493 0.837498 +v -0.131141 0.093865 0.801132 +v -0.120782 0.162603 0.743249 +v -0.075669 0.123194 0.811031 +v -0.084358 0.150231 0.779615 +v -0.139829 0.120902 0.769716 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4420 -0.6158 -0.6522 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.023.obj b/data/sceneparts/tree1/leaves.023.obj new file mode 100644 index 000000000..f2f3f0a46 --- /dev/null +++ b/data/sceneparts/tree1/leaves.023.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.023 +v -0.120177 0.131434 0.822208 +v -0.129025 0.177448 0.851097 +v -0.211501 0.222672 0.850303 +v -0.172211 0.146245 0.812049 +v -0.202653 0.176658 0.821414 +v -0.159466 0.207860 0.860462 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3078 -0.5477 0.7780 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.024.obj b/data/sceneparts/tree1/leaves.024.obj new file mode 100644 index 000000000..6487c1a41 --- /dev/null +++ b/data/sceneparts/tree1/leaves.024.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.024 +v -0.139355 0.191540 0.811635 +v -0.100589 0.205585 0.829419 +v -0.071466 0.275156 0.815302 +v -0.132861 0.233240 0.796296 +v -0.110232 0.261111 0.797518 +v -0.077959 0.233456 0.830641 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4944 0.3669 0.7880 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.025.obj b/data/sceneparts/tree1/leaves.025.obj new file mode 100644 index 000000000..460892e02 --- /dev/null +++ b/data/sceneparts/tree1/leaves.025.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.025 +v -0.138285 0.250647 0.815688 +v -0.169842 0.280044 0.824710 +v -0.181742 0.341062 0.782235 +v -0.135700 0.281526 0.784365 +v -0.150185 0.311665 0.773213 +v -0.184327 0.310182 0.813558 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6435 -0.5179 -0.5636 +vn -0.6435 -0.5178 -0.5636 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.026.obj b/data/sceneparts/tree1/leaves.026.obj new file mode 100644 index 000000000..cc14c4203 --- /dev/null +++ b/data/sceneparts/tree1/leaves.026.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.026 +v -0.141855 0.311502 0.814548 +v -0.122584 0.345497 0.823608 +v -0.153260 0.398003 0.855243 +v -0.168730 0.335175 0.832618 +v -0.172531 0.364008 0.846183 +v -0.126385 0.374331 0.837173 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2588 -0.3831 0.8867 +vn 0.2588 -0.3830 0.8867 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.027.obj b/data/sceneparts/tree1/leaves.027.obj new file mode 100644 index 000000000..c36316f66 --- /dev/null +++ b/data/sceneparts/tree1/leaves.027.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.027 +v -0.164026 0.363243 0.796701 +v -0.146942 0.338392 0.818450 +v -0.096667 0.353206 0.854366 +v -0.136205 0.381403 0.813395 +v -0.113752 0.378057 0.832617 +v -0.124489 0.335046 0.837672 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6102 0.2410 0.7547 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.028.obj b/data/sceneparts/tree1/leaves.028.obj new file mode 100644 index 000000000..7f92b3cfe --- /dev/null +++ b/data/sceneparts/tree1/leaves.028.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.028 +v -0.192310 0.412317 0.773147 +v -0.211597 0.433414 0.787655 +v -0.258348 0.450962 0.765145 +v -0.217049 0.416984 0.753304 +v -0.239062 0.429866 0.750637 +v -0.233610 0.446295 0.784988 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4930 -0.7518 0.4378 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.029.obj b/data/sceneparts/tree1/leaves.029.obj new file mode 100644 index 000000000..d92668efd --- /dev/null +++ b/data/sceneparts/tree1/leaves.029.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.029 +v -0.037553 -0.019777 0.856207 +v -0.084539 -0.001419 0.885322 +v -0.158774 -0.062453 0.911202 +v -0.071381 -0.066586 0.863755 +v -0.111788 -0.080811 0.882087 +v -0.124946 -0.015644 0.903654 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4610 -0.1935 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.030.obj b/data/sceneparts/tree1/leaves.030.obj new file mode 100644 index 000000000..b986df859 --- /dev/null +++ b/data/sceneparts/tree1/leaves.030.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.030 +v -0.068748 -0.043812 0.861512 +v -0.016658 -0.070176 0.855122 +v 0.070138 -0.019925 0.858750 +v -0.028248 -0.001525 0.866060 +v 0.018048 0.006438 0.865140 +v 0.029637 -0.062213 0.854202 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0454 -0.1497 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.031.obj b/data/sceneparts/tree1/leaves.031.obj new file mode 100644 index 000000000..671eeaf50 --- /dev/null +++ b/data/sceneparts/tree1/leaves.031.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.031 +v -0.101802 -0.073601 0.867746 +v -0.132491 -0.084602 0.909610 +v -0.137701 -0.167544 0.945867 +v -0.095045 -0.125228 0.877963 +v -0.107012 -0.156543 0.904003 +v -0.144458 -0.115916 0.935650 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7581 0.2207 0.6137 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.032.obj b/data/sceneparts/tree1/leaves.032.obj new file mode 100644 index 000000000..1d96227f0 --- /dev/null +++ b/data/sceneparts/tree1/leaves.032.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.032 +v -0.127477 -0.105113 0.871089 +v -0.161391 -0.119768 0.838480 +v -0.242355 -0.130481 0.858989 +v -0.170149 -0.107370 0.895631 +v -0.208441 -0.115826 0.891598 +v -0.199684 -0.128224 0.834446 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1859 0.9540 -0.2354 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.033.obj b/data/sceneparts/tree1/leaves.033.obj new file mode 100644 index 000000000..ae7100b75 --- /dev/null +++ b/data/sceneparts/tree1/leaves.033.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.033 +v -0.152273 -0.134274 0.876999 +v -0.191547 -0.158914 0.877422 +v -0.192198 -0.238097 0.880060 +v -0.139616 -0.178849 0.878617 +v -0.152924 -0.213457 0.879637 +v -0.204855 -0.193522 0.878442 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0102 0.0334 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.034.obj b/data/sceneparts/tree1/leaves.034.obj new file mode 100644 index 000000000..b0db8dacd --- /dev/null +++ b/data/sceneparts/tree1/leaves.034.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.034 +v -0.185814 -0.156669 0.894296 +v -0.221480 -0.134715 0.914628 +v -0.244916 -0.150779 0.988936 +v -0.189549 -0.174696 0.937057 +v -0.209250 -0.172733 0.968604 +v -0.241181 -0.132752 0.946175 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6273 0.6965 0.3484 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.035.obj b/data/sceneparts/tree1/leaves.035.obj new file mode 100644 index 000000000..b0ac13bf5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.035.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.035 +v -0.216597 -0.163046 0.920903 +v -0.190225 -0.200518 0.923983 +v -0.113698 -0.197042 0.941017 +v -0.174370 -0.148238 0.931232 +v -0.140070 -0.159570 0.937936 +v -0.155925 -0.211850 0.930688 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2137 -0.0703 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.036.obj b/data/sceneparts/tree1/leaves.036.obj new file mode 100644 index 000000000..9d2800086 --- /dev/null +++ b/data/sceneparts/tree1/leaves.036.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.036 +v -0.249187 -0.173094 0.941091 +v -0.284670 -0.175331 0.933651 +v -0.309573 -0.223734 0.903821 +v -0.253961 -0.204616 0.923685 +v -0.274089 -0.221496 0.911262 +v -0.304799 -0.192211 0.921227 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1544 -0.4596 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.037.obj b/data/sceneparts/tree1/leaves.037.obj new file mode 100644 index 000000000..836754b3b --- /dev/null +++ b/data/sceneparts/tree1/leaves.037.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.037 +v -0.282268 -0.199308 0.940714 +v -0.317030 -0.193416 0.924713 +v -0.372870 -0.217160 0.951088 +v -0.307907 -0.217101 0.963631 +v -0.338108 -0.223052 0.967089 +v -0.347231 -0.199367 0.928171 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1040 0.8386 0.5347 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.038.obj b/data/sceneparts/tree1/leaves.038.obj new file mode 100644 index 000000000..128d67426 --- /dev/null +++ b/data/sceneparts/tree1/leaves.038.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.038 +v -0.303997 -0.227417 0.924288 +v -0.283427 -0.250156 0.928596 +v -0.231179 -0.242031 0.926737 +v -0.276021 -0.214422 0.921613 +v -0.251749 -0.219293 0.922429 +v -0.259155 -0.255027 0.929412 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0053 0.1907 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.039.obj b/data/sceneparts/tree1/leaves.039.obj new file mode 100644 index 000000000..4ee87adbb --- /dev/null +++ b/data/sceneparts/tree1/leaves.039.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.039 +v -0.327655 -0.258939 0.905029 +v -0.360636 -0.265211 0.905847 +v -0.382768 -0.310717 0.932912 +v -0.331416 -0.287185 0.922799 +v -0.349787 -0.304444 0.932093 +v -0.379007 -0.282471 0.915142 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0816 0.5385 0.8387 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.040.obj b/data/sceneparts/tree1/leaves.040.obj new file mode 100644 index 000000000..507ca81b5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.040.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.040 +v -0.286128 -0.175465 0.952970 +v -0.315266 -0.179034 0.934071 +v -0.355626 -0.135425 0.928724 +v -0.303322 -0.145203 0.955705 +v -0.326488 -0.131856 0.947623 +v -0.338432 -0.165687 0.925989 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4804 0.3458 -0.8060 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.041.obj b/data/sceneparts/tree1/leaves.041.obj new file mode 100644 index 000000000..b02057d98 --- /dev/null +++ b/data/sceneparts/tree1/leaves.041.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.041 +v -0.323922 -0.170695 0.966375 +v -0.336507 -0.173911 0.994963 +v -0.381545 -0.201728 1.003737 +v -0.349751 -0.188168 0.962695 +v -0.368959 -0.198512 0.975149 +v -0.355715 -0.184255 1.007417 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5402 -0.8290 0.1446 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.042.obj b/data/sceneparts/tree1/leaves.042.obj new file mode 100644 index 000000000..06273e276 --- /dev/null +++ b/data/sceneparts/tree1/leaves.042.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.042 +v -0.338726 -0.168826 0.971625 +v -0.360210 -0.151231 0.962676 +v -0.386542 -0.122880 0.994119 +v -0.349119 -0.155791 0.995570 +v -0.365058 -0.140476 1.003068 +v -0.376149 -0.135915 0.970174 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6583 0.7433 -0.1189 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.043.obj b/data/sceneparts/tree1/leaves.043.obj new file mode 100644 index 000000000..e0114d159 --- /dev/null +++ b/data/sceneparts/tree1/leaves.043.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.043 +v 0.035554 0.025172 0.889024 +v 0.043387 0.082586 0.895100 +v 0.104955 0.134754 0.836787 +v 0.073988 0.040813 0.848123 +v 0.097122 0.077340 0.830711 +v 0.066521 0.119114 0.877688 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7497 0.1700 -0.6395 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.044.obj b/data/sceneparts/tree1/leaves.044.obj new file mode 100644 index 000000000..8a5e656a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.044.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.044 +v 0.080130 0.048661 0.898258 +v 0.121495 0.034231 0.932855 +v 0.152722 0.091650 1.002336 +v 0.087160 0.091751 0.933046 +v 0.111357 0.106080 0.967739 +v 0.145693 0.048560 0.967548 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6661 -0.3997 0.6297 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.045.obj b/data/sceneparts/tree1/leaves.045.obj new file mode 100644 index 000000000..cca735a0e --- /dev/null +++ b/data/sceneparts/tree1/leaves.045.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.045 +v 0.122468 0.083365 0.903635 +v 0.140167 0.107958 0.861989 +v 0.225521 0.109557 0.840612 +v 0.173472 0.076234 0.903266 +v 0.207823 0.084964 0.882258 +v 0.174518 0.116688 0.840982 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1202 -0.8316 -0.5422 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.046.obj b/data/sceneparts/tree1/leaves.046.obj new file mode 100644 index 000000000..4f3020fd1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.046.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.046 +v 0.157603 0.117227 0.906085 +v 0.169297 0.156640 0.937261 +v 0.206439 0.231003 0.907875 +v 0.178466 0.153666 0.876103 +v 0.194745 0.191591 0.876699 +v 0.185575 0.194565 0.937857 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9069 0.3917 -0.1550 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.047.obj b/data/sceneparts/tree1/leaves.047.obj new file mode 100644 index 000000000..1c8a513bb --- /dev/null +++ b/data/sceneparts/tree1/leaves.047.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.047 +v 0.207559 0.124914 0.916973 +v 0.227789 0.089087 0.906743 +v 0.299684 0.085906 0.898405 +v 0.248746 0.134735 0.914824 +v 0.279454 0.121733 0.908635 +v 0.258497 0.076084 0.900554 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1028 -0.2190 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.048.obj b/data/sceneparts/tree1/leaves.048.obj new file mode 100644 index 000000000..16dae25e2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.048.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.048 +v 0.249128 0.102046 0.932730 +v 0.261771 0.137712 0.935086 +v 0.226200 0.185751 0.960077 +v 0.221199 0.122182 0.948605 +v 0.213556 0.150084 0.957721 +v 0.254129 0.165614 0.944202 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3759 -0.1931 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.049.obj b/data/sceneparts/tree1/leaves.049.obj new file mode 100644 index 000000000..2be8ef28b --- /dev/null +++ b/data/sceneparts/tree1/leaves.049.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.049 +v 0.300267 0.087337 0.937671 +v 0.324776 0.069101 0.954796 +v 0.374766 0.094287 0.975966 +v 0.325424 0.110207 0.946076 +v 0.350256 0.112524 0.958841 +v 0.349609 0.071417 0.967561 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4628 0.1909 0.8657 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.050.obj b/data/sceneparts/tree1/leaves.050.obj new file mode 100644 index 000000000..d70593d34 --- /dev/null +++ b/data/sceneparts/tree1/leaves.050.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.050 +v 0.347348 0.092327 0.926642 +v 0.362296 0.095763 0.894425 +v 0.416542 0.071569 0.880656 +v 0.378530 0.075052 0.928201 +v 0.401594 0.068133 0.912873 +v 0.385360 0.088844 0.879097 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4510 -0.8410 -0.2989 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.051.obj b/data/sceneparts/tree1/leaves.051.obj new file mode 100644 index 000000000..bf6a3053c --- /dev/null +++ b/data/sceneparts/tree1/leaves.051.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.051 +v 0.396386 0.101671 0.910690 +v 0.415626 0.126001 0.918361 +v 0.443345 0.154491 0.880927 +v 0.408452 0.112554 0.883176 +v 0.424105 0.130160 0.873256 +v 0.431279 0.143608 0.908440 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7681 0.6345 -0.0859 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.052.obj b/data/sceneparts/tree1/leaves.052.obj new file mode 100644 index 000000000..8ae7794e8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.052.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.052 +v 0.190401 0.143408 0.925908 +v 0.224382 0.143684 0.952570 +v 0.218309 0.158950 1.024526 +v 0.175026 0.153493 0.964992 +v 0.184329 0.158674 0.997864 +v 0.233684 0.148865 0.985443 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1441 -0.9704 0.1937 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.053.obj b/data/sceneparts/tree1/leaves.053.obj new file mode 100644 index 000000000..af6d8e57b --- /dev/null +++ b/data/sceneparts/tree1/leaves.053.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.053 +v 0.209016 0.176830 0.958693 +v 0.219854 0.216698 0.959320 +v 0.285636 0.237989 0.973623 +v 0.249259 0.177735 0.968020 +v 0.274799 0.198121 0.972997 +v 0.245394 0.237084 0.964296 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2265 -0.0463 -0.9729 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.054.obj b/data/sceneparts/tree1/leaves.054.obj new file mode 100644 index 000000000..a1884a360 --- /dev/null +++ b/data/sceneparts/tree1/leaves.054.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.054 +v 0.242943 0.193589 0.994279 +v 0.243258 0.187024 1.035439 +v 0.265610 0.236133 1.081933 +v 0.257738 0.228516 1.011556 +v 0.265294 0.242698 1.040774 +v 0.250814 0.201205 1.064657 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9300 0.3619 0.0649 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.055.obj b/data/sceneparts/tree1/leaves.055.obj new file mode 100644 index 000000000..f954d148a --- /dev/null +++ b/data/sceneparts/tree1/leaves.055.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.055 +v 0.280680 0.198224 1.026199 +v 0.313493 0.192355 1.019691 +v 0.345276 0.154927 1.050629 +v 0.290931 0.175228 1.048994 +v 0.312463 0.160796 1.057137 +v 0.335025 0.177923 1.027835 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2560 -0.7357 -0.6271 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.056.obj b/data/sceneparts/tree1/leaves.056.obj new file mode 100644 index 000000000..74b8ca43b --- /dev/null +++ b/data/sceneparts/tree1/leaves.056.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.056 +v -0.053742 0.029013 0.919691 +v -0.109178 0.049585 0.904760 +v -0.191638 0.039357 0.967656 +v -0.090237 0.015337 0.966598 +v -0.136203 0.018785 0.982586 +v -0.155143 0.053033 0.920748 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2131 0.8809 0.4226 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.057.obj b/data/sceneparts/tree1/leaves.057.obj new file mode 100644 index 000000000..54e10654b --- /dev/null +++ b/data/sceneparts/tree1/leaves.057.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.057 +v -0.097853 0.060465 0.929661 +v -0.096330 0.110114 0.931227 +v -0.123243 0.154589 0.998381 +v -0.116303 0.073564 0.973909 +v -0.124767 0.104939 0.996816 +v -0.104793 0.141489 0.954134 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.9179 -0.0406 0.3948 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.058.obj b/data/sceneparts/tree1/leaves.058.obj new file mode 100644 index 000000000..4f5b00dae --- /dev/null +++ b/data/sceneparts/tree1/leaves.058.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.058 +v -0.130066 0.101275 0.944398 +v -0.102352 0.056896 0.942619 +v -0.012904 0.055981 0.941581 +v -0.079672 0.115457 0.944299 +v -0.040618 0.100359 0.943360 +v -0.063298 0.041798 0.941680 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0113 -0.0330 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.059.obj b/data/sceneparts/tree1/leaves.059.obj new file mode 100644 index 000000000..1ea4562c6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.059.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.059 +v -0.148896 0.145253 0.968571 +v -0.155486 0.144092 1.016675 +v -0.226795 0.166775 1.052566 +v -0.194239 0.160762 0.976464 +v -0.220205 0.167935 1.004462 +v -0.181452 0.151266 1.044673 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3335 -0.9403 -0.0684 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.060.obj b/data/sceneparts/tree1/leaves.060.obj new file mode 100644 index 000000000..54211c3dc --- /dev/null +++ b/data/sceneparts/tree1/leaves.060.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.060 +v -0.148213 0.184679 1.004400 +v -0.110302 0.209932 1.014180 +v -0.078112 0.212505 1.086950 +v -0.139390 0.177976 1.049654 +v -0.116023 0.187252 1.077170 +v -0.086935 0.219208 1.041697 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5799 -0.7819 -0.2289 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.061.obj b/data/sceneparts/tree1/leaves.061.obj new file mode 100644 index 000000000..c707218aa --- /dev/null +++ b/data/sceneparts/tree1/leaves.061.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.061 +v -0.148986 0.219380 1.044818 +v -0.124115 0.245147 1.041600 +v -0.137275 0.301395 1.020672 +v -0.166049 0.248290 1.031939 +v -0.162145 0.275628 1.023890 +v -0.120212 0.272485 1.033551 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1924 0.3023 0.9336 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.062.obj b/data/sceneparts/tree1/leaves.062.obj new file mode 100644 index 000000000..bd62d529e --- /dev/null +++ b/data/sceneparts/tree1/leaves.062.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.062 +v -0.175038 0.248310 1.080270 +v -0.185069 0.280683 1.081437 +v -0.240944 0.296023 1.082219 +v -0.208945 0.247746 1.080403 +v -0.230913 0.263650 1.081053 +v -0.207038 0.296587 1.082086 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0045 -0.0346 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.063.obj b/data/sceneparts/tree1/leaves.063.obj new file mode 100644 index 000000000..1abb4f3a1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.063.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.063 +v -0.209505 0.273377 1.113593 +v -0.236553 0.281603 1.112191 +v -0.250561 0.326832 1.122069 +v -0.209828 0.300788 1.120645 +v -0.223514 0.318606 1.123471 +v -0.250238 0.299422 1.115017 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1254 0.2486 -0.9605 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.064.obj b/data/sceneparts/tree1/leaves.064.obj new file mode 100644 index 000000000..5e16f1d93 --- /dev/null +++ b/data/sceneparts/tree1/leaves.064.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.064 +v -0.097853 0.060465 0.929661 +v -0.146079 0.072700 0.943001 +v -0.200087 0.015809 0.982933 +v -0.117783 0.018459 0.951836 +v -0.151861 0.003573 0.969593 +v -0.180157 0.057815 0.960758 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3265 0.3154 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.065.obj b/data/sceneparts/tree1/leaves.065.obj new file mode 100644 index 000000000..f8da56f72 --- /dev/null +++ b/data/sceneparts/tree1/leaves.065.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.065 +v -0.148793 0.055419 0.924643 +v -0.176647 0.094191 0.925694 +v -0.257579 0.090417 0.916012 +v -0.193464 0.039979 0.917838 +v -0.229726 0.051645 0.914961 +v -0.212908 0.105857 0.922818 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1131 -0.1081 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.066.obj b/data/sceneparts/tree1/leaves.066.obj new file mode 100644 index 000000000..8e56a4383 --- /dev/null +++ b/data/sceneparts/tree1/leaves.066.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.066 +v -0.204659 0.061219 0.924515 +v -0.222161 0.019911 0.929275 +v -0.179642 -0.044119 0.923325 +v -0.170479 0.032302 0.918962 +v -0.162140 -0.002811 0.918565 +v -0.213822 -0.015202 0.928878 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1878 0.0335 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.067.obj b/data/sceneparts/tree1/leaves.067.obj new file mode 100644 index 000000000..76c224b07 --- /dev/null +++ b/data/sceneparts/tree1/leaves.067.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.067 +v -0.250680 0.081249 0.931749 +v -0.274200 0.115566 0.930304 +v -0.345278 0.113243 0.928761 +v -0.290227 0.068262 0.931202 +v -0.321759 0.078927 0.930206 +v -0.305732 0.126230 0.929308 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0226 0.0266 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.068.obj b/data/sceneparts/tree1/leaves.068.obj new file mode 100644 index 000000000..6d3811986 --- /dev/null +++ b/data/sceneparts/tree1/leaves.068.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.068 +v -0.304261 0.093928 0.931473 +v -0.278387 0.127417 0.928093 +v -0.299196 0.194747 0.945317 +v -0.326758 0.127651 0.944083 +v -0.325069 0.161258 0.948698 +v -0.276699 0.161023 0.932707 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3099 -0.1446 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.069.obj b/data/sceneparts/tree1/leaves.069.obj new file mode 100644 index 000000000..0c162e0f0 --- /dev/null +++ b/data/sceneparts/tree1/leaves.069.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.069 +v -0.355626 0.100163 0.926212 +v -0.378011 0.105460 0.903037 +v -0.414688 0.066493 0.887229 +v -0.372615 0.072419 0.923398 +v -0.392302 0.061196 0.910404 +v -0.397699 0.094237 0.890042 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6427 0.3231 0.6947 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.070.obj b/data/sceneparts/tree1/leaves.070.obj new file mode 100644 index 000000000..bcf11cb28 --- /dev/null +++ b/data/sceneparts/tree1/leaves.070.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.070 +v -0.021199 -0.019466 0.960865 +v -0.086484 -0.030457 0.960865 +v -0.130719 -0.134578 0.960865 +v -0.028927 -0.085217 0.960865 +v -0.065434 -0.123587 0.960865 +v -0.122990 -0.068827 0.960865 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.071.obj b/data/sceneparts/tree1/leaves.071.obj new file mode 100644 index 000000000..7af6a055a --- /dev/null +++ b/data/sceneparts/tree1/leaves.071.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.071 +v -0.032698 -0.043875 0.966785 +v -0.021990 -0.093991 0.951595 +v -0.087274 -0.152901 0.926897 +v -0.079790 -0.066443 0.955383 +v -0.097982 -0.102785 0.942087 +v -0.040182 -0.130333 0.938299 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0834 0.3053 -0.9486 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.072.obj b/data/sceneparts/tree1/leaves.072.obj new file mode 100644 index 000000000..d7f4f5ac2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.072.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.072 +v -0.044132 -0.070059 0.972680 +v -0.054633 -0.090591 1.022923 +v -0.015635 -0.170710 1.054295 +v -0.014633 -0.116628 0.976847 +v -0.005134 -0.150178 1.004052 +v -0.045134 -0.124141 1.050128 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7683 0.5201 0.3731 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.073.obj b/data/sceneparts/tree1/leaves.073.obj new file mode 100644 index 000000000..a11174b97 --- /dev/null +++ b/data/sceneparts/tree1/leaves.073.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.073 +v -0.055239 -0.100024 0.978384 +v -0.103518 -0.106411 0.969051 +v -0.133004 -0.171817 0.923972 +v -0.058804 -0.141499 0.951442 +v -0.084725 -0.165430 0.933305 +v -0.129439 -0.130342 0.950914 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0911 -0.5370 0.8387 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.074.obj b/data/sceneparts/tree1/leaves.074.obj new file mode 100644 index 000000000..f8b9fff9e --- /dev/null +++ b/data/sceneparts/tree1/leaves.074.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.074 +v -0.062999 -0.128343 0.981726 +v -0.045576 -0.181045 0.982578 +v 0.045986 -0.204693 0.975095 +v -0.007766 -0.126541 0.976454 +v 0.028563 -0.151991 0.974244 +v -0.009247 -0.206495 0.980367 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0934 0.0469 0.9945 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.075.obj b/data/sceneparts/tree1/leaves.075.obj new file mode 100644 index 000000000..5332e74cd --- /dev/null +++ b/data/sceneparts/tree1/leaves.075.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.075 +v -0.068868 -0.154599 0.984102 +v -0.108088 -0.184581 0.976826 +v -0.101078 -0.269521 0.974202 +v -0.051122 -0.201232 0.984779 +v -0.061858 -0.239540 0.981478 +v -0.118824 -0.222889 0.973526 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1504 -0.0429 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.076.obj b/data/sceneparts/tree1/leaves.076.obj new file mode 100644 index 000000000..58b3fd0ad --- /dev/null +++ b/data/sceneparts/tree1/leaves.076.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.076 +v -0.076187 -0.181668 0.988362 +v -0.087062 -0.217377 0.952045 +v -0.167014 -0.255840 0.945093 +v -0.125864 -0.195406 0.995833 +v -0.156140 -0.220130 0.981411 +v -0.117337 -0.242101 0.937622 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2941 0.7241 -0.6239 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.077.obj b/data/sceneparts/tree1/leaves.077.obj new file mode 100644 index 000000000..233be666f --- /dev/null +++ b/data/sceneparts/tree1/leaves.077.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.077 +v -0.087755 -0.210448 0.996797 +v -0.120664 -0.241913 0.988089 +v -0.119034 -0.288783 0.924250 +v -0.075698 -0.231206 0.957140 +v -0.086124 -0.257318 0.932958 +v -0.131091 -0.268025 0.963906 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5172 -0.6835 0.5150 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.078.obj b/data/sceneparts/tree1/leaves.078.obj new file mode 100644 index 000000000..133065969 --- /dev/null +++ b/data/sceneparts/tree1/leaves.078.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.078 +v -0.101570 -0.233171 1.007470 +v -0.140084 -0.233122 1.021918 +v -0.156188 -0.254802 1.086815 +v -0.099467 -0.247641 1.045919 +v -0.117673 -0.254851 1.072368 +v -0.158291 -0.240332 1.048366 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1299 0.9303 0.3430 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.079.obj b/data/sceneparts/tree1/leaves.079.obj new file mode 100644 index 000000000..8860ca87f --- /dev/null +++ b/data/sceneparts/tree1/leaves.079.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.079 +v -0.115111 -0.253808 1.019008 +v -0.139786 -0.220003 1.026619 +v -0.205531 -0.212001 0.996662 +v -0.150716 -0.259742 0.996500 +v -0.180856 -0.245806 0.989051 +v -0.169926 -0.206068 1.019170 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4120 -0.4757 0.7771 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.080.obj b/data/sceneparts/tree1/leaves.080.obj new file mode 100644 index 000000000..4a2b24068 --- /dev/null +++ b/data/sceneparts/tree1/leaves.080.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.080 +v -0.126169 -0.278441 1.030432 +v -0.125542 -0.293438 1.064753 +v -0.102931 -0.352204 1.076278 +v -0.111304 -0.312620 1.026674 +v -0.103558 -0.337207 1.041956 +v -0.117796 -0.318025 1.080035 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.9126 0.3805 0.1496 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.081.obj b/data/sceneparts/tree1/leaves.081.obj new file mode 100644 index 000000000..336f92857 --- /dev/null +++ b/data/sceneparts/tree1/leaves.081.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.081 +v -0.132181 -0.308040 1.040029 +v -0.157677 -0.329035 1.030088 +v -0.193099 -0.356331 1.068482 +v -0.147296 -0.319239 1.068939 +v -0.167602 -0.335336 1.078424 +v -0.177983 -0.345132 1.039572 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6289 0.7770 -0.0279 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.082.obj b/data/sceneparts/tree1/leaves.082.obj new file mode 100644 index 000000000..227544ebd --- /dev/null +++ b/data/sceneparts/tree1/leaves.082.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.082 +v -0.132814 -0.334821 1.046619 +v -0.113924 -0.355378 1.065833 +v -0.082127 -0.336076 1.110219 +v -0.117912 -0.315101 1.069805 +v -0.101016 -0.315519 1.091005 +v -0.097029 -0.355796 1.087033 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7759 -0.1375 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.083.obj b/data/sceneparts/tree1/leaves.083.obj new file mode 100644 index 000000000..3cf60a6f2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.083.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.083 +v -0.131128 -0.361639 1.052230 +v -0.147895 -0.378964 1.077528 +v -0.119293 -0.411634 1.118523 +v -0.106472 -0.377644 1.071128 +v -0.102527 -0.394309 1.093225 +v -0.143950 -0.395629 1.099625 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0661 0.8023 0.5933 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.084.obj b/data/sceneparts/tree1/leaves.084.obj new file mode 100644 index 000000000..036543848 --- /dev/null +++ b/data/sceneparts/tree1/leaves.084.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.084 +v -0.130280 -0.391885 1.059007 +v -0.127752 -0.413366 1.039862 +v -0.162646 -0.447734 1.033719 +v -0.154386 -0.407636 1.061294 +v -0.165175 -0.426252 1.052864 +v -0.138540 -0.431983 1.031432 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4378 0.5689 -0.6962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.085.obj b/data/sceneparts/tree1/leaves.085.obj new file mode 100644 index 000000000..99c375112 --- /dev/null +++ b/data/sceneparts/tree1/leaves.085.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.085 +v 0.042292 0.007579 1.014443 +v 0.166421 0.071749 1.061037 +v 0.093474 0.035354 0.995058 +v 0.073863 0.022584 1.064890 +v 0.115239 0.043974 1.080422 +v 0.134850 0.056744 1.010589 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4679 0.8833 0.0301 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.086.obj b/data/sceneparts/tree1/leaves.086.obj new file mode 100644 index 000000000..8e9bfe036 --- /dev/null +++ b/data/sceneparts/tree1/leaves.086.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.086 +v 0.092840 -0.011781 1.034009 +v 0.099008 -0.068135 1.028981 +v 0.106931 -0.127017 1.105977 +v 0.096066 -0.032251 1.087016 +v 0.100763 -0.070663 1.111005 +v 0.103705 -0.106547 1.052971 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9937 -0.1104 0.0179 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.087.obj b/data/sceneparts/tree1/leaves.087.obj new file mode 100644 index 000000000..1fbc96e67 --- /dev/null +++ b/data/sceneparts/tree1/leaves.087.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.087 +v 0.127087 -0.048581 1.060699 +v 0.179098 -0.057390 1.072930 +v 0.217902 -0.141254 1.068083 +v 0.135620 -0.101554 1.053390 +v 0.165891 -0.132445 1.055852 +v 0.209370 -0.088281 1.075391 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2530 0.1721 -0.9520 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.088.obj b/data/sceneparts/tree1/leaves.088.obj new file mode 100644 index 000000000..4f926d699 --- /dev/null +++ b/data/sceneparts/tree1/leaves.088.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.088 +v 0.144154 -0.087661 1.093327 +v 0.126186 -0.103606 1.135473 +v 0.171216 -0.106302 1.205022 +v 0.180163 -0.084143 1.125644 +v 0.189184 -0.090357 1.162875 +v 0.135207 -0.109820 1.172705 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2937 0.9288 0.2262 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.089.obj b/data/sceneparts/tree1/leaves.089.obj new file mode 100644 index 000000000..7cfcaf916 --- /dev/null +++ b/data/sceneparts/tree1/leaves.089.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.089 +v 0.173948 -0.122991 1.125814 +v 0.170338 -0.159065 1.145253 +v 0.225856 -0.194680 1.169557 +v 0.212162 -0.134710 1.135537 +v 0.229465 -0.158606 1.150118 +v 0.187641 -0.182961 1.159834 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0757 0.4789 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.090.obj b/data/sceneparts/tree1/leaves.090.obj new file mode 100644 index 000000000..949395fb7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.090.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.090 +v 0.196332 -0.143538 1.145774 +v 0.225885 -0.137297 1.136550 +v 0.262289 -0.176086 1.127457 +v 0.210750 -0.171478 1.142787 +v 0.232736 -0.182327 1.136681 +v 0.247871 -0.148146 1.130445 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.2886 0.0467 0.9563 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.091.obj b/data/sceneparts/tree1/leaves.091.obj new file mode 100644 index 000000000..261bc5573 --- /dev/null +++ b/data/sceneparts/tree1/leaves.091.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.091 +v 0.089964 0.022680 1.018510 +v 0.139411 0.021033 1.019971 +v 0.187806 0.087273 0.999391 +v 0.105745 0.067389 1.004303 +v 0.138359 0.088920 0.997930 +v 0.172024 0.042564 1.013598 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0178 0.3085 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.092.obj b/data/sceneparts/tree1/leaves.092.obj new file mode 100644 index 000000000..035fb7786 --- /dev/null +++ b/data/sceneparts/tree1/leaves.092.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.092 +v 0.131859 0.056382 1.012656 +v 0.185284 0.042320 1.006259 +v 0.240336 0.079934 0.938543 +v 0.150753 0.086145 0.969645 +v 0.186911 0.093996 0.944940 +v 0.221442 0.050171 0.981555 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.2678 -0.7332 -0.6250 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.093.obj b/data/sceneparts/tree1/leaves.093.obj new file mode 100644 index 000000000..ceb03a535 --- /dev/null +++ b/data/sceneparts/tree1/leaves.093.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.093 +v 0.185464 0.084205 1.011365 +v 0.210301 0.111244 1.044355 +v 0.266292 0.170173 1.021847 +v 0.214512 0.114478 0.985362 +v 0.241455 0.143134 0.988856 +v 0.237244 0.139900 1.047849 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7276 0.6859 -0.0143 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.094.obj b/data/sceneparts/tree1/leaves.094.obj new file mode 100644 index 000000000..ec729d698 --- /dev/null +++ b/data/sceneparts/tree1/leaves.094.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.094 +v 0.237973 0.095103 1.018103 +v 0.255978 0.104811 1.056568 +v 0.303199 0.059011 1.091420 +v 0.263451 0.061333 1.028516 +v 0.285194 0.049302 1.052955 +v 0.277721 0.092781 1.081007 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.7684 -0.4350 0.4695 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.095.obj b/data/sceneparts/tree1/leaves.095.obj new file mode 100644 index 000000000..c6309f52f --- /dev/null +++ b/data/sceneparts/tree1/leaves.095.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.095 +v 0.290066 0.118113 1.012815 +v 0.266439 0.150298 1.004037 +v 0.196666 0.146964 1.004468 +v 0.251425 0.105162 1.016028 +v 0.220292 0.114779 1.013246 +v 0.235306 0.159915 1.001255 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0064 0.2587 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.096.obj b/data/sceneparts/tree1/leaves.096.obj new file mode 100644 index 000000000..c39d6642b --- /dev/null +++ b/data/sceneparts/tree1/leaves.096.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.096 +v 0.324111 0.153469 0.991334 +v 0.354538 0.165920 1.000486 +v 0.363478 0.222639 1.010669 +v 0.319929 0.187131 0.995072 +v 0.333051 0.210187 1.001517 +v 0.367660 0.188977 1.006931 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2339 -0.1360 0.9627 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.097.obj b/data/sceneparts/tree1/leaves.097.obj new file mode 100644 index 000000000..b2aea0ddd --- /dev/null +++ b/data/sceneparts/tree1/leaves.097.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.097 +v 0.354702 0.193805 0.964109 +v 0.348711 0.166231 0.982635 +v 0.386907 0.123304 0.987678 +v 0.382163 0.174378 0.961295 +v 0.392897 0.150878 0.969151 +v 0.359446 0.142731 0.990491 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4000 0.4497 0.7986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.098.obj b/data/sceneparts/tree1/leaves.098.obj new file mode 100644 index 000000000..9e78834f7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.098.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.098 +v 0.021286 0.037784 1.071206 +v 0.021966 0.168658 1.129457 +v 0.021399 0.095972 1.057904 +v 0.021627 0.066845 1.123341 +v 0.021853 0.110470 1.142758 +v 0.021625 0.139596 1.077321 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -1.0000 0.0030 0.0048 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.099.obj b/data/sceneparts/tree1/leaves.099.obj new file mode 100644 index 000000000..be1d44f6e --- /dev/null +++ b/data/sceneparts/tree1/leaves.099.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.099 +v 0.055020 0.070591 1.084029 +v 0.105656 0.068066 1.086662 +v 0.155855 0.138757 1.089595 +v 0.071607 0.118559 1.085107 +v 0.105219 0.141281 1.086962 +v 0.139268 0.090788 1.088517 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0522 -0.0044 0.9986 +vn -0.0521 -0.0044 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.100.obj b/data/sceneparts/tree1/leaves.100.obj new file mode 100644 index 000000000..3877c179c --- /dev/null +++ b/data/sceneparts/tree1/leaves.100.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.100 +v 0.087611 0.113321 1.092782 +v 0.127733 0.210138 1.013185 +v 0.130056 0.130609 1.062677 +v 0.071914 0.160578 1.069822 +v 0.085288 0.192850 1.043290 +v 0.143430 0.162881 1.036145 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3554 -0.5013 -0.7889 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.101.obj b/data/sceneparts/tree1/leaves.101.obj new file mode 100644 index 000000000..29c9a9fc6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.101.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.101 +v 0.108382 0.158297 1.093829 +v 0.143967 0.189846 1.079019 +v 0.126568 0.263872 1.040786 +v 0.084920 0.197132 1.073277 +v 0.090982 0.232324 1.055596 +v 0.150029 0.225037 1.061338 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0307 0.4529 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.102.obj b/data/sceneparts/tree1/leaves.102.obj new file mode 100644 index 000000000..51fbcdc49 --- /dev/null +++ b/data/sceneparts/tree1/leaves.102.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.102 +v 0.142017 0.192272 1.101374 +v 0.241961 0.156947 1.116525 +v 0.169577 0.175196 1.132026 +v 0.181086 0.185799 1.080823 +v 0.214401 0.174024 1.085873 +v 0.202892 0.163421 1.137076 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.2875 -0.9230 -0.2558 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.103.obj b/data/sceneparts/tree1/leaves.103.obj new file mode 100644 index 000000000..4e59c6753 --- /dev/null +++ b/data/sceneparts/tree1/leaves.103.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.103 +v 0.186068 0.196766 1.122442 +v 0.216630 0.227700 1.139096 +v 0.293491 0.227333 1.118511 +v 0.227121 0.186211 1.103167 +v 0.262929 0.196400 1.101857 +v 0.252438 0.237889 1.137786 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2020 0.6115 -0.7651 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.104.obj b/data/sceneparts/tree1/leaves.104.obj new file mode 100644 index 000000000..0f9e8781b --- /dev/null +++ b/data/sceneparts/tree1/leaves.104.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.104 +v 0.229085 0.183003 1.143258 +v 0.251245 0.153327 1.143975 +v 0.314373 0.157905 1.143086 +v 0.263783 0.195946 1.142426 +v 0.292213 0.187580 1.142369 +v 0.279675 0.144961 1.143918 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0117 0.0329 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.105.obj b/data/sceneparts/tree1/leaves.105.obj new file mode 100644 index 000000000..1384bd698 --- /dev/null +++ b/data/sceneparts/tree1/leaves.105.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.105 +v 0.281742 0.179235 1.149544 +v 0.303395 0.196835 1.119556 +v 0.350080 0.161596 1.081107 +v 0.305648 0.149876 1.133908 +v 0.328427 0.143996 1.111096 +v 0.326175 0.190956 1.096743 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7174 -0.2349 -0.6558 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.106.obj b/data/sceneparts/tree1/leaves.106.obj new file mode 100644 index 000000000..f4b9ac069 --- /dev/null +++ b/data/sceneparts/tree1/leaves.106.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.106 +v 0.327267 0.182260 1.140125 +v 0.331782 0.217728 1.143650 +v 0.356451 0.186700 1.160603 +v 0.377815 0.242121 1.176129 +v 0.373300 0.206653 1.172605 +v 0.348631 0.237681 1.155651 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5735 -0.0084 0.8192 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.107.obj b/data/sceneparts/tree1/leaves.107.obj new file mode 100644 index 000000000..cad4808d2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.107.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.107 +v 0.376685 0.186278 1.127360 +v 0.394187 0.159116 1.128146 +v 0.449418 0.159306 1.127703 +v 0.407671 0.195459 1.126803 +v 0.431915 0.186469 1.126917 +v 0.418432 0.150126 1.128260 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0079 0.0340 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.108.obj b/data/sceneparts/tree1/leaves.108.obj new file mode 100644 index 000000000..ad1dc9161 --- /dev/null +++ b/data/sceneparts/tree1/leaves.108.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.108 +v 0.142017 0.192272 1.101374 +v 0.166765 0.216593 1.069309 +v 0.117467 0.231732 1.092864 +v 0.142315 0.287942 1.040512 +v 0.117567 0.263622 1.072577 +v 0.166864 0.248483 1.049022 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4939 -0.4656 -0.7344 +vn -0.4939 -0.4656 -0.7343 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/2 3/5/2 5/6/2 4/2/2 diff --git a/data/sceneparts/tree1/leaves.109.obj b/data/sceneparts/tree1/leaves.109.obj new file mode 100644 index 000000000..8a606f5a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.109.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.109 +v 0.154186 0.239471 1.094833 +v 0.182257 0.267287 1.092870 +v 0.168721 0.333197 1.099518 +v 0.135805 0.274139 1.099919 +v 0.140650 0.305381 1.101481 +v 0.187102 0.298529 1.094432 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1394 -0.0710 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.110.obj b/data/sceneparts/tree1/leaves.110.obj new file mode 100644 index 000000000..a405f613d --- /dev/null +++ b/data/sceneparts/tree1/leaves.110.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.110 +v 0.172904 0.283428 1.110590 +v 0.177273 0.371946 1.110936 +v 0.152234 0.314025 1.111083 +v 0.196487 0.311843 1.110329 +v 0.197943 0.341350 1.110444 +v 0.153690 0.343531 1.111198 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0168 -0.0047 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.111.obj b/data/sceneparts/tree1/leaves.111.obj new file mode 100644 index 000000000..cb58064ee --- /dev/null +++ b/data/sceneparts/tree1/leaves.111.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.111 +v 0.192472 0.304869 1.149159 +v 0.225733 0.301180 1.156448 +v 0.263552 0.345802 1.154514 +v 0.206598 0.335847 1.145440 +v 0.230291 0.349491 1.147225 +v 0.249426 0.314824 1.158233 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1883 0.2013 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.112.obj b/data/sceneparts/tree1/leaves.112.obj new file mode 100644 index 000000000..9ed499263 --- /dev/null +++ b/data/sceneparts/tree1/leaves.112.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.112 +v 0.197908 0.311263 1.159477 +v 0.191108 0.306441 1.189093 +v 0.224226 0.303050 1.173132 +v 0.227186 0.291710 1.224383 +v 0.233986 0.296532 1.194767 +v 0.200867 0.299923 1.210728 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1952 -0.9599 -0.2011 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.113.obj b/data/sceneparts/tree1/leaves.113.obj new file mode 100644 index 000000000..117083a56 --- /dev/null +++ b/data/sceneparts/tree1/leaves.113.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.113 +v -0.041757 -0.009091 1.132040 +v -0.040376 0.045790 1.110103 +v -0.096197 0.120955 1.148052 +v -0.079432 0.022725 1.164652 +v -0.097579 0.066073 1.169989 +v -0.058523 0.089139 1.115440 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7414 0.2329 0.6293 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.114.obj b/data/sceneparts/tree1/leaves.114.obj new file mode 100644 index 000000000..6f14ea53c --- /dev/null +++ b/data/sceneparts/tree1/leaves.114.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.114 +v -0.070591 -0.025014 1.141133 +v -0.179578 -0.089586 1.101306 +v -0.125841 -0.024614 1.144088 +v -0.087999 -0.068463 1.111626 +v -0.124328 -0.089986 1.098350 +v -0.162170 -0.046138 1.130812 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0397 -0.5722 0.8192 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.115.obj b/data/sceneparts/tree1/leaves.115.obj new file mode 100644 index 000000000..5fd9f0bcd --- /dev/null +++ b/data/sceneparts/tree1/leaves.115.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.115 +v -0.102837 -0.042770 1.151436 +v -0.141833 -0.008372 1.163605 +v -0.223362 -0.035422 1.194415 +v -0.144190 -0.072269 1.167919 +v -0.184365 -0.069820 1.182246 +v -0.182009 -0.005923 1.177931 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3382 0.0510 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.116.obj b/data/sceneparts/tree1/leaves.116.obj new file mode 100644 index 000000000..b3ed58bc1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.116.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.116 +v -0.134343 -0.060091 1.160221 +v -0.195405 -0.169539 1.149554 +v -0.173623 -0.083901 1.134985 +v -0.135771 -0.109245 1.178346 +v -0.156125 -0.145728 1.174791 +v -0.193978 -0.120384 1.131429 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6341 0.2837 0.7193 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.117.obj b/data/sceneparts/tree1/leaves.117.obj new file mode 100644 index 000000000..907da5eab --- /dev/null +++ b/data/sceneparts/tree1/leaves.117.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.117 +v -0.162421 -0.075484 1.168012 +v -0.203361 -0.054116 1.184718 +v -0.237687 -0.073884 1.258699 +v -0.171659 -0.095786 1.211764 +v -0.196747 -0.095252 1.241993 +v -0.228449 -0.053582 1.214947 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5503 0.7070 0.4442 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.118.obj b/data/sceneparts/tree1/leaves.118.obj new file mode 100644 index 000000000..614dc7e51 --- /dev/null +++ b/data/sceneparts/tree1/leaves.118.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.118 +v -0.192673 -0.091942 1.180894 +v -0.210425 -0.131866 1.166441 +v -0.284276 -0.138334 1.140199 +v -0.235989 -0.082946 1.168217 +v -0.266524 -0.098410 1.154652 +v -0.240959 -0.147330 1.152876 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3129 0.1972 -0.9291 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.119.obj b/data/sceneparts/tree1/leaves.119.obj new file mode 100644 index 000000000..7a679b358 --- /dev/null +++ b/data/sceneparts/tree1/leaves.119.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.119 +v -0.222433 -0.103218 1.204022 +v -0.223165 -0.104690 1.245057 +v -0.257732 -0.154448 1.280468 +v -0.245234 -0.135900 1.213951 +v -0.257000 -0.152976 1.239434 +v -0.234931 -0.121766 1.270539 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8193 -0.5734 -0.0060 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.120.obj b/data/sceneparts/tree1/leaves.120.obj new file mode 100644 index 000000000..22353f8c5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.120.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.120 +v -0.247453 -0.111813 1.228606 +v -0.290410 -0.104346 1.228082 +v -0.340575 -0.157727 1.241704 +v -0.266578 -0.149890 1.237862 +v -0.297619 -0.165195 1.242228 +v -0.321450 -0.119651 1.232448 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0269 0.2233 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.121.obj b/data/sceneparts/tree1/leaves.121.obj new file mode 100644 index 000000000..dd1b002bb --- /dev/null +++ b/data/sceneparts/tree1/leaves.121.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.121 +v -0.270958 -0.133836 1.239824 +v -0.273584 -0.175469 1.240428 +v -0.216045 -0.217544 1.241569 +v -0.231723 -0.148009 1.240383 +v -0.213419 -0.175912 1.240965 +v -0.255280 -0.203372 1.241010 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0088 0.0151 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.122.obj b/data/sceneparts/tree1/leaves.122.obj new file mode 100644 index 000000000..0ab6796ee --- /dev/null +++ b/data/sceneparts/tree1/leaves.122.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.122 +v -0.283566 -0.163996 1.229213 +v -0.263973 -0.178893 1.207272 +v -0.283388 -0.200407 1.158952 +v -0.303041 -0.173373 1.204312 +v -0.302981 -0.185510 1.180892 +v -0.263913 -0.191030 1.183852 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1583 -0.8768 0.4540 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.123.obj b/data/sceneparts/tree1/leaves.123.obj new file mode 100644 index 000000000..63d7db322 --- /dev/null +++ b/data/sceneparts/tree1/leaves.123.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.123 +v -0.282897 -0.190744 1.205435 +v -0.272228 -0.190515 1.171261 +v -0.303391 -0.218765 1.126836 +v -0.307229 -0.209654 1.187210 +v -0.314060 -0.218994 1.161010 +v -0.279059 -0.199855 1.145061 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5286 0.8338 -0.1594 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.124.obj b/data/sceneparts/tree1/leaves.124.obj new file mode 100644 index 000000000..7c722a733 --- /dev/null +++ b/data/sceneparts/tree1/leaves.124.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.124 +v -0.282673 -0.220800 1.179357 +v -0.260175 -0.283108 1.161240 +v -0.285059 -0.248662 1.185433 +v -0.265289 -0.234477 1.161203 +v -0.257790 -0.255246 1.155164 +v -0.277560 -0.269431 1.179394 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7491 0.0793 0.6576 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.125.obj b/data/sceneparts/tree1/leaves.125.obj new file mode 100644 index 000000000..d44feaf3e --- /dev/null +++ b/data/sceneparts/tree1/leaves.125.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.125 +v -0.297083 -0.151142 1.253101 +v -0.332705 -0.150971 1.241916 +v -0.381044 -0.137749 1.281401 +v -0.317436 -0.142384 1.283153 +v -0.345423 -0.137920 1.292587 +v -0.360692 -0.146507 1.251349 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0770 0.9700 -0.2305 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.126.obj b/data/sceneparts/tree1/leaves.126.obj new file mode 100644 index 000000000..9bb4fb266 --- /dev/null +++ b/data/sceneparts/tree1/leaves.126.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.126 +v -0.324325 -0.169188 1.266946 +v -0.357290 -0.175579 1.275059 +v -0.378851 -0.230340 1.279633 +v -0.327711 -0.203564 1.267291 +v -0.345886 -0.223948 1.271520 +v -0.375465 -0.195963 1.279287 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2415 -0.0140 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.127.obj b/data/sceneparts/tree1/leaves.127.obj new file mode 100644 index 000000000..8a5181d28 --- /dev/null +++ b/data/sceneparts/tree1/leaves.127.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.127 +v -0.334856 -0.176163 1.272298 +v -0.353812 -0.166753 1.247364 +v -0.368448 -0.201335 1.205975 +v -0.338295 -0.202355 1.253016 +v -0.349492 -0.210745 1.230909 +v -0.365009 -0.175144 1.225256 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8127 -0.2725 0.5150 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.128.obj b/data/sceneparts/tree1/leaves.128.obj new file mode 100644 index 000000000..7dbbbcb61 --- /dev/null +++ b/data/sceneparts/tree1/leaves.128.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.128 +v 0.031703 -0.016179 1.211862 +v 0.073972 -0.020146 1.179219 +v 0.109985 -0.100655 1.154805 +v 0.041622 -0.068529 1.206467 +v 0.067716 -0.096688 1.187448 +v 0.100066 -0.048305 1.160200 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6129 -0.0348 -0.7894 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.129.obj b/data/sceneparts/tree1/leaves.129.obj new file mode 100644 index 000000000..d3b4d6cd5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.129.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.129 +v 0.076732 -0.042576 1.228652 +v 0.105243 -0.038365 1.271545 +v 0.193431 -0.042796 1.270638 +v 0.126020 -0.046935 1.213750 +v 0.164920 -0.047008 1.227746 +v 0.144143 -0.038438 1.285540 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0484 0.9904 -0.1295 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.130.obj b/data/sceneparts/tree1/leaves.130.obj new file mode 100644 index 000000000..32c4a556e --- /dev/null +++ b/data/sceneparts/tree1/leaves.130.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.130 +v 0.115838 -0.078794 1.250867 +v 0.128490 -0.165423 1.348166 +v 0.134048 -0.084698 1.301934 +v 0.106063 -0.130643 1.264666 +v 0.110280 -0.159519 1.297099 +v 0.138265 -0.113575 1.334366 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.8988 0.2628 0.3509 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.131.obj b/data/sceneparts/tree1/leaves.131.obj new file mode 100644 index 000000000..b22f2b597 --- /dev/null +++ b/data/sceneparts/tree1/leaves.131.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.131 +v 0.142867 -0.115782 1.273864 +v 0.109804 -0.151247 1.271665 +v 0.129725 -0.229850 1.254241 +v 0.167169 -0.156362 1.262982 +v 0.162788 -0.194385 1.256440 +v 0.105423 -0.189270 1.265123 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1312 -0.1827 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.132.obj b/data/sceneparts/tree1/leaves.132.obj new file mode 100644 index 000000000..cc86c611e --- /dev/null +++ b/data/sceneparts/tree1/leaves.132.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.132 +v 0.167948 -0.156805 1.307581 +v 0.235916 -0.175070 1.401061 +v 0.212451 -0.171323 1.321209 +v 0.168756 -0.154464 1.356273 +v 0.191412 -0.160552 1.387433 +v 0.235107 -0.177411 1.352369 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.3238 0.9448 -0.0508 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.133.obj b/data/sceneparts/tree1/leaves.133.obj new file mode 100644 index 000000000..4a0691ae5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.133.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.133 +v 0.181702 -0.191174 1.345168 +v 0.168384 -0.233046 1.344779 +v 0.131920 -0.264406 1.402441 +v 0.161832 -0.198123 1.383739 +v 0.145238 -0.222534 1.402830 +v 0.151790 -0.257457 1.363870 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8728 0.2813 -0.3989 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.134.obj b/data/sceneparts/tree1/leaves.134.obj new file mode 100644 index 000000000..ebdd5e9ab --- /dev/null +++ b/data/sceneparts/tree1/leaves.134.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.134 +v 0.211891 -0.231005 1.370053 +v 0.304050 -0.210900 1.358008 +v 0.247498 -0.247528 1.364668 +v 0.237723 -0.201079 1.367409 +v 0.268442 -0.194377 1.363394 +v 0.278218 -0.240826 1.360652 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1359 -0.0298 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.135.obj b/data/sceneparts/tree1/leaves.135.obj new file mode 100644 index 000000000..e3efd8537 --- /dev/null +++ b/data/sceneparts/tree1/leaves.135.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.135 +v 0.252685 -0.263220 1.368953 +v 0.259996 -0.292393 1.384928 +v 0.312270 -0.303169 1.408112 +v 0.285097 -0.260680 1.379085 +v 0.304959 -0.273996 1.392138 +v 0.279858 -0.305709 1.397980 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3019 0.3985 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.136.obj b/data/sceneparts/tree1/leaves.136.obj new file mode 100644 index 000000000..c9a68a1d9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.136.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.136 +v 0.298655 -0.295325 1.360894 +v 0.338543 -0.354598 1.328129 +v 0.321142 -0.302361 1.338148 +v 0.302760 -0.327804 1.361797 +v 0.316056 -0.347561 1.350875 +v 0.334438 -0.322119 1.327226 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.7237 -0.1104 -0.6813 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.137.obj b/data/sceneparts/tree1/leaves.137.obj new file mode 100644 index 000000000..32f36a67a --- /dev/null +++ b/data/sceneparts/tree1/leaves.137.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.137 +v 0.126023 -0.041440 1.228123 +v 0.156695 -0.012397 1.260030 +v 0.198924 0.062540 1.232029 +v 0.143951 -0.001163 1.198819 +v 0.168252 0.033497 1.200121 +v 0.180995 0.022263 1.261333 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7940 0.5467 0.2657 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.138.obj b/data/sceneparts/tree1/leaves.138.obj new file mode 100644 index 000000000..e7505f78f --- /dev/null +++ b/data/sceneparts/tree1/leaves.138.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.138 +v 0.182106 -0.038985 1.229613 +v 0.226478 -0.023981 1.248275 +v 0.203408 -0.079888 1.249995 +v 0.280616 -0.077833 1.288179 +v 0.259314 -0.036930 1.267797 +v 0.236244 -0.092837 1.269517 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4381 0.2077 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.139.obj b/data/sceneparts/tree1/leaves.139.obj new file mode 100644 index 000000000..4ba370a52 --- /dev/null +++ b/data/sceneparts/tree1/leaves.139.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.139 +v 0.228314 -0.056922 1.248130 +v 0.242854 -0.017045 1.237746 +v 0.198892 0.035141 1.207422 +v 0.194159 -0.035424 1.231376 +v 0.184352 -0.004736 1.217806 +v 0.233047 0.013643 1.224176 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2427 0.3264 0.9135 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.140.obj b/data/sceneparts/tree1/leaves.140.obj new file mode 100644 index 000000000..23ca2bfb4 --- /dev/null +++ b/data/sceneparts/tree1/leaves.140.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.140 +v 0.282712 -0.058942 1.246165 +v 0.352080 -0.009955 1.286885 +v 0.300803 -0.024119 1.246063 +v 0.310867 -0.061106 1.273414 +v 0.333989 -0.044778 1.286988 +v 0.323925 -0.007790 1.259636 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6417 0.3354 0.6897 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.141.obj b/data/sceneparts/tree1/leaves.141.obj new file mode 100644 index 000000000..69eed9077 --- /dev/null +++ b/data/sceneparts/tree1/leaves.141.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.141 +v 0.319214 -0.055506 1.238691 +v 0.307211 -0.083086 1.222459 +v 0.336540 -0.109472 1.179394 +v 0.342768 -0.063904 1.215391 +v 0.348543 -0.081892 1.195625 +v 0.312986 -0.101074 1.202694 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4515 -0.5903 0.6691 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.142.obj b/data/sceneparts/tree1/leaves.142.obj new file mode 100644 index 000000000..346df7f38 --- /dev/null +++ b/data/sceneparts/tree1/leaves.142.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.142 +v 0.009758 0.033824 1.284983 +v 0.056430 0.069844 1.304136 +v 0.044720 0.173561 1.322190 +v -0.013606 0.090962 1.290635 +v -0.001952 0.137541 1.303037 +v 0.068084 0.116423 1.316538 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2415 -0.1928 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.143.obj b/data/sceneparts/tree1/leaves.143.obj new file mode 100644 index 000000000..5529c474a --- /dev/null +++ b/data/sceneparts/tree1/leaves.143.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.143 +v 0.033117 0.062898 1.298656 +v 0.093624 0.067409 1.304264 +v 0.141797 0.158276 1.320522 +v 0.045063 0.121972 1.307626 +v 0.081290 0.153765 1.314914 +v 0.129851 0.099201 1.311553 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0816 -0.1335 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.144.obj b/data/sceneparts/tree1/leaves.144.obj new file mode 100644 index 000000000..c80d425ed --- /dev/null +++ b/data/sceneparts/tree1/leaves.144.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.144 +v 0.058924 0.095734 1.313141 +v 0.073612 0.149487 1.314977 +v 0.009676 0.220070 1.317595 +v 0.011404 0.124872 1.314274 +v -0.005012 0.166317 1.315759 +v 0.057196 0.190932 1.316461 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0025 -0.0348 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.145.obj b/data/sceneparts/tree1/leaves.145.obj new file mode 100644 index 000000000..80246b78c --- /dev/null +++ b/data/sceneparts/tree1/leaves.145.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.145 +v 0.081854 0.123702 1.324966 +v 0.124507 0.138451 1.301977 +v 0.150664 0.220943 1.300772 +v 0.085075 0.173780 1.331826 +v 0.108011 0.206194 1.323761 +v 0.147443 0.170865 1.293912 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5086 -0.1489 0.8480 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.146.obj b/data/sceneparts/tree1/leaves.146.obj new file mode 100644 index 000000000..7779af09f --- /dev/null +++ b/data/sceneparts/tree1/leaves.146.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.146 +v 0.102087 0.157067 1.337473 +v 0.194533 0.225492 1.328966 +v 0.145081 0.166189 1.356900 +v 0.120724 0.193562 1.312374 +v 0.151539 0.216370 1.309539 +v 0.175896 0.188997 1.354065 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4231 -0.6501 -0.6311 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.147.obj b/data/sceneparts/tree1/leaves.147.obj new file mode 100644 index 000000000..ec4d0d691 --- /dev/null +++ b/data/sceneparts/tree1/leaves.147.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.147 +v 0.116001 0.193350 1.351503 +v 0.102744 0.210649 1.390451 +v 0.065053 0.276772 1.395307 +v 0.095293 0.231666 1.341757 +v 0.078310 0.259474 1.356359 +v 0.085762 0.238456 1.405053 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8686 -0.4893 -0.0783 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.148.obj b/data/sceneparts/tree1/leaves.148.obj new file mode 100644 index 000000000..976f13200 --- /dev/null +++ b/data/sceneparts/tree1/leaves.148.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.148 +v 0.123700 0.228926 1.362787 +v 0.152870 0.314461 1.358084 +v 0.112052 0.264784 1.362272 +v 0.154795 0.250091 1.360166 +v 0.164518 0.278603 1.358599 +v 0.121775 0.293296 1.360705 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0609 0.0341 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.149.obj b/data/sceneparts/tree1/leaves.149.obj new file mode 100644 index 000000000..b37875455 --- /dev/null +++ b/data/sceneparts/tree1/leaves.149.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.149 +v 0.130625 0.271539 1.367763 +v 0.107927 0.304312 1.376058 +v 0.039171 0.300691 1.386127 +v 0.092355 0.258200 1.371711 +v 0.061870 0.267917 1.377832 +v 0.077442 0.314030 1.382180 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1508 -0.1431 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.150.obj b/data/sceneparts/tree1/leaves.150.obj new file mode 100644 index 000000000..cb598d6d5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.150.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.150 +v 0.133678 0.309173 1.364864 +v 0.122328 0.397517 1.376837 +v 0.109525 0.337276 1.359472 +v 0.150265 0.339966 1.378238 +v 0.146482 0.369414 1.382229 +v 0.105741 0.366724 1.363463 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4026 -0.1735 0.8988 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.151.obj b/data/sceneparts/tree1/leaves.151.obj new file mode 100644 index 000000000..e1e37c06e --- /dev/null +++ b/data/sceneparts/tree1/leaves.151.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.151 +v 0.136388 0.350222 1.360445 +v 0.159601 0.327068 1.361217 +v 0.214235 0.339202 1.364135 +v 0.165073 0.366030 1.362133 +v 0.191022 0.362356 1.363363 +v 0.185550 0.323395 1.362447 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0497 -0.0165 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.152.obj b/data/sceneparts/tree1/leaves.152.obj new file mode 100644 index 000000000..89c006c61 --- /dev/null +++ b/data/sceneparts/tree1/leaves.152.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.152 +v 0.102087 0.157067 1.337473 +v 0.120072 0.143721 1.297108 +v 0.178023 0.183431 1.261233 +v 0.134725 0.187989 1.327010 +v 0.160037 0.196777 1.301597 +v 0.145384 0.152509 1.271695 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6784 -0.5520 0.4848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.153.obj b/data/sceneparts/tree1/leaves.153.obj new file mode 100644 index 000000000..d4061d06d --- /dev/null +++ b/data/sceneparts/tree1/leaves.153.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.153 +v 0.131312 0.158436 1.362841 +v 0.160868 0.131949 1.372562 +v 0.178568 0.117958 1.438640 +v 0.133260 0.157938 1.403653 +v 0.149012 0.144446 1.428919 +v 0.176620 0.118456 1.397828 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6714 -0.7407 0.0230 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.154.obj b/data/sceneparts/tree1/leaves.154.obj new file mode 100644 index 000000000..1f2769dcc --- /dev/null +++ b/data/sceneparts/tree1/leaves.154.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.154 +v 0.160592 0.160011 1.390562 +v 0.238867 0.191516 1.421574 +v 0.197266 0.152614 1.392372 +v 0.176101 0.188412 1.409427 +v 0.202193 0.198913 1.419765 +v 0.223358 0.163116 1.402709 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1418 0.4928 -0.8585 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.155.obj b/data/sceneparts/tree1/leaves.155.obj new file mode 100644 index 000000000..f7c5e9822 --- /dev/null +++ b/data/sceneparts/tree1/leaves.155.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.155 +v 0.186449 0.162278 1.424963 +v 0.182841 0.138507 1.454760 +v 0.167162 0.159360 1.514760 +v 0.177199 0.184104 1.455030 +v 0.170770 0.183131 1.484962 +v 0.176412 0.137534 1.484693 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9700 -0.1188 -0.2122 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.156.obj b/data/sceneparts/tree1/leaves.156.obj new file mode 100644 index 000000000..e81199a84 --- /dev/null +++ b/data/sceneparts/tree1/leaves.156.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.156 +v 0.204446 0.164650 1.457894 +v 0.191074 0.242432 1.455786 +v 0.180560 0.187213 1.456303 +v 0.219418 0.193941 1.458080 +v 0.214961 0.219869 1.457377 +v 0.176103 0.213141 1.455600 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0489 0.0187 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.157.obj b/data/sceneparts/tree1/leaves.157.obj new file mode 100644 index 000000000..90d517d04 --- /dev/null +++ b/data/sceneparts/tree1/leaves.157.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.157 +v 0.217355 0.166314 1.481099 +v 0.233304 0.154186 1.455368 +v 0.281754 0.175133 1.437499 +v 0.244340 0.184321 1.477764 +v 0.265806 0.187261 1.463230 +v 0.254770 0.157126 1.440834 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4935 -0.6279 0.6018 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.158.obj b/data/sceneparts/tree1/leaves.158.obj new file mode 100644 index 000000000..499864825 --- /dev/null +++ b/data/sceneparts/tree1/leaves.158.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.158 +v -0.041421 0.024875 1.360130 +v -0.065890 0.145062 1.435682 +v -0.046516 0.046289 1.415971 +v -0.052639 0.083586 1.354657 +v -0.060795 0.123648 1.379840 +v -0.054672 0.086352 1.441155 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.9818 0.1892 0.0170 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.159.obj b/data/sceneparts/tree1/leaves.159.obj new file mode 100644 index 000000000..c2a9a30a9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.159.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.159 +v -0.073251 0.046171 1.376297 +v -0.115900 0.087510 1.378305 +v -0.197307 0.079203 1.438445 +v -0.113306 0.026854 1.415721 +v -0.154658 0.037864 1.436437 +v -0.157252 0.098520 1.399021 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4921 0.4722 0.7314 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.160.obj b/data/sceneparts/tree1/leaves.160.obj new file mode 100644 index 000000000..9cf5c57a7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.160.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.160 +v -0.109053 0.067761 1.388202 +v -0.214975 0.147077 1.367898 +v -0.164203 0.071367 1.395756 +v -0.124517 0.117032 1.367113 +v -0.159825 0.143471 1.360344 +v -0.199511 0.097806 1.388987 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1500 0.4285 0.8910 +vn 0.1501 0.4285 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 4/5/2 5/6/2 2/2/2 diff --git a/data/sceneparts/tree1/leaves.161.obj b/data/sceneparts/tree1/leaves.161.obj new file mode 100644 index 000000000..f24f5da4a --- /dev/null +++ b/data/sceneparts/tree1/leaves.161.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.161 +v -0.141755 0.084070 1.401266 +v -0.193810 0.070472 1.394409 +v -0.260988 0.133562 1.384587 +v -0.169189 0.130663 1.397004 +v -0.208933 0.147161 1.391444 +v -0.233555 0.086969 1.388849 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1337 -0.0120 -0.9910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.162.obj b/data/sceneparts/tree1/leaves.162.obj new file mode 100644 index 000000000..78020e021 --- /dev/null +++ b/data/sceneparts/tree1/leaves.162.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.162 +v -0.166000 0.090525 1.435011 +v -0.268143 0.158042 1.441530 +v -0.216995 0.087526 1.435800 +v -0.183101 0.138536 1.438568 +v -0.217148 0.161041 1.440741 +v -0.251043 0.110031 1.437973 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0194 -0.0670 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.163.obj b/data/sceneparts/tree1/leaves.163.obj new file mode 100644 index 000000000..2f6e007c3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.163.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.163 +v -0.177083 0.085420 1.473307 +v -0.219644 0.086931 1.487047 +v -0.240738 0.121315 1.552007 +v -0.176959 0.107839 1.512035 +v -0.198177 0.119804 1.538268 +v -0.240862 0.098896 1.513280 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1298 0.8583 -0.4965 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.164.obj b/data/sceneparts/tree1/leaves.164.obj new file mode 100644 index 000000000..ee03e68f3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.164.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.164 +v -0.204705 0.071945 1.502799 +v -0.259221 0.003055 1.508804 +v -0.236358 0.058373 1.490148 +v -0.209396 0.039591 1.519453 +v -0.227568 0.016627 1.521455 +v -0.254529 0.035409 1.492150 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4916 -0.4538 -0.7432 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.165.obj b/data/sceneparts/tree1/leaves.165.obj new file mode 100644 index 000000000..724263f9f --- /dev/null +++ b/data/sceneparts/tree1/leaves.165.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.165 +v -0.236701 0.053716 1.515001 +v -0.267213 0.061452 1.492227 +v -0.307311 0.013985 1.468847 +v -0.253263 0.019492 1.507006 +v -0.276800 0.006248 1.491621 +v -0.290749 0.048208 1.476842 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5806 0.0919 0.8090 +vn -0.5805 0.0919 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.166.obj b/data/sceneparts/tree1/leaves.166.obj new file mode 100644 index 000000000..b7ce7ef9f --- /dev/null +++ b/data/sceneparts/tree1/leaves.166.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.166 +v -0.257710 0.041787 1.523207 +v -0.326952 0.021265 1.503143 +v -0.287307 0.051671 1.521901 +v -0.274274 0.018221 1.511138 +v -0.297355 0.011381 1.504450 +v -0.310387 0.044830 1.515213 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1603 0.3584 -0.9197 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.167.obj b/data/sceneparts/tree1/leaves.167.obj new file mode 100644 index 000000000..5231ab5c5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.167.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.167 +v -0.153997 0.113354 1.421073 +v -0.155732 0.132013 1.468019 +v -0.216807 0.187370 1.493831 +v -0.194135 0.144039 1.422633 +v -0.215072 0.168711 1.446886 +v -0.176669 0.156685 1.492272 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5754 -0.7671 0.2836 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.168.obj b/data/sceneparts/tree1/leaves.168.obj new file mode 100644 index 000000000..41eaf983f --- /dev/null +++ b/data/sceneparts/tree1/leaves.168.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.168 +v -0.158641 0.150858 1.435846 +v -0.082997 0.232156 1.461436 +v -0.129211 0.166005 1.469891 +v -0.137641 0.189910 1.418861 +v -0.112426 0.217009 1.427391 +v -0.103997 0.193104 1.478420 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7331 -0.5613 -0.3840 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.169.obj b/data/sceneparts/tree1/leaves.169.obj new file mode 100644 index 000000000..827a978e8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.169.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.169 +v -0.158606 0.184367 1.460701 +v -0.116899 0.191161 1.466162 +v -0.087955 0.257947 1.467857 +v -0.153212 0.226626 1.460011 +v -0.129662 0.251153 1.462396 +v -0.093349 0.215688 1.468547 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1351 0.0334 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.170.obj b/data/sceneparts/tree1/leaves.170.obj new file mode 100644 index 000000000..7864c0713 --- /dev/null +++ b/data/sceneparts/tree1/leaves.170.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.170 +v -0.150597 0.203688 1.497293 +v -0.138717 0.241645 1.495784 +v -0.073384 0.259801 1.501034 +v -0.111002 0.203140 1.501296 +v -0.085264 0.221844 1.502543 +v -0.112980 0.260349 1.497031 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0994 0.0706 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.171.obj b/data/sceneparts/tree1/leaves.171.obj new file mode 100644 index 000000000..e2bdedc5d --- /dev/null +++ b/data/sceneparts/tree1/leaves.171.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.171 +v -0.138400 0.207356 1.533991 +v -0.107233 0.207035 1.541535 +v -0.133687 0.180952 1.551570 +v -0.084582 0.167270 1.571676 +v -0.089294 0.193674 1.554097 +v -0.115748 0.167590 1.564132 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1961 -0.5189 -0.8320 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.172.obj b/data/sceneparts/tree1/leaves.172.obj new file mode 100644 index 000000000..993c4cda7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.172.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.172 +v -0.124681 0.211196 1.575053 +v -0.145331 0.216889 1.598951 +v -0.145829 0.264049 1.626934 +v -0.118131 0.240738 1.585742 +v -0.125180 0.258356 1.603036 +v -0.152380 0.234507 1.616244 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6525 0.3816 -0.6547 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.173.obj b/data/sceneparts/tree1/leaves.173.obj new file mode 100644 index 000000000..73aa1abbd --- /dev/null +++ b/data/sceneparts/tree1/leaves.173.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.173 +v -0.034944 -0.026753 1.431923 +v -0.097927 -0.029867 1.430905 +v -0.151787 -0.121484 1.448792 +v -0.049857 -0.086792 1.444188 +v -0.088804 -0.118369 1.449811 +v -0.136874 -0.061444 1.436528 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0260 0.2063 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.174.obj b/data/sceneparts/tree1/leaves.174.obj new file mode 100644 index 000000000..f9b8b7684 --- /dev/null +++ b/data/sceneparts/tree1/leaves.174.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.174 +v -0.063960 -0.051376 1.450783 +v -0.102565 -0.057215 1.419214 +v -0.125705 -0.133794 1.388205 +v -0.066518 -0.100483 1.440633 +v -0.087100 -0.127956 1.419774 +v -0.123147 -0.084687 1.398355 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6161 -0.1285 0.7771 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.175.obj b/data/sceneparts/tree1/leaves.175.obj new file mode 100644 index 000000000..b30bee48f --- /dev/null +++ b/data/sceneparts/tree1/leaves.175.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.175 +v -0.098045 -0.059444 1.473017 +v -0.109749 -0.079588 1.515268 +v -0.152864 -0.039620 1.573069 +v -0.122888 -0.026085 1.497468 +v -0.141161 -0.019477 1.530818 +v -0.128022 -0.072980 1.548618 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.8511 0.3416 0.3986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.176.obj b/data/sceneparts/tree1/leaves.176.obj new file mode 100644 index 000000000..aa57c5eb8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.176.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.176 +v -0.127446 -0.056771 1.502731 +v -0.176278 -0.059684 1.510007 +v -0.219359 -0.001410 1.553489 +v -0.139889 -0.016951 1.529294 +v -0.170526 0.001503 1.546213 +v -0.206916 -0.041230 1.526926 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1563 0.5138 -0.8435 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.177.obj b/data/sceneparts/tree1/leaves.177.obj new file mode 100644 index 000000000..374bb7d9e --- /dev/null +++ b/data/sceneparts/tree1/leaves.177.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.177 +v -0.138557 -0.050571 1.541480 +v -0.103197 -0.021787 1.549152 +v -0.098515 0.049679 1.515793 +v -0.147222 -0.012522 1.516684 +v -0.133875 0.020895 1.508121 +v -0.089849 0.011630 1.540590 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4900 0.3949 0.7771 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.178.obj b/data/sceneparts/tree1/leaves.178.obj new file mode 100644 index 000000000..e38a18c09 --- /dev/null +++ b/data/sceneparts/tree1/leaves.178.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.178 +v -0.150723 -0.038971 1.579554 +v -0.177671 -0.007252 1.580798 +v -0.248173 -0.016861 1.580860 +v -0.188742 -0.055950 1.579181 +v -0.221225 -0.048580 1.579616 +v -0.210155 0.000118 1.581233 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0056 -0.0345 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.179.obj b/data/sceneparts/tree1/leaves.179.obj new file mode 100644 index 000000000..d6fd9f739 --- /dev/null +++ b/data/sceneparts/tree1/leaves.179.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.179 +v -0.178412 -0.025119 1.605251 +v -0.234490 -0.084165 1.602618 +v -0.211843 -0.030766 1.603535 +v -0.182367 -0.058835 1.605212 +v -0.201059 -0.078517 1.604334 +v -0.230535 -0.050448 1.602657 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0521 0.0050 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.180.obj b/data/sceneparts/tree1/leaves.180.obj new file mode 100644 index 000000000..f04e82b2a --- /dev/null +++ b/data/sceneparts/tree1/leaves.180.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.180 +v -0.208627 -0.010811 1.625572 +v -0.207816 -0.003625 1.656113 +v -0.243552 -0.022748 1.691235 +v -0.232721 -0.025956 1.638806 +v -0.244363 -0.029935 1.660694 +v -0.219458 -0.007604 1.678000 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5897 -0.7895 0.1701 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.181.obj b/data/sceneparts/tree1/leaves.181.obj new file mode 100644 index 000000000..18f9f5b64 --- /dev/null +++ b/data/sceneparts/tree1/leaves.181.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.181 +v -0.063386 -0.051761 1.450371 +v -0.114546 -0.065407 1.447663 +v -0.142712 -0.151066 1.456459 +v -0.065109 -0.104318 1.457139 +v -0.091551 -0.137419 1.459168 +v -0.140988 -0.098509 1.449692 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0870 0.1300 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.182.obj b/data/sceneparts/tree1/leaves.182.obj new file mode 100644 index 000000000..6b3ae641a --- /dev/null +++ b/data/sceneparts/tree1/leaves.182.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.182 +v -0.064751 -0.091120 1.450750 +v -0.027540 -0.111063 1.471011 +v 0.044950 -0.077174 1.470809 +v -0.028828 -0.061879 1.443862 +v 0.007739 -0.057231 1.450549 +v 0.009027 -0.106415 1.477697 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2162 0.4675 0.8572 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.183.obj b/data/sceneparts/tree1/leaves.183.obj new file mode 100644 index 000000000..eaa4350ca --- /dev/null +++ b/data/sceneparts/tree1/leaves.183.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.183 +v -0.067702 -0.133809 1.453613 +v -0.035522 -0.172850 1.459080 +v -0.047794 -0.235762 1.517844 +v -0.086610 -0.162737 1.490967 +v -0.079974 -0.196721 1.512377 +v -0.028886 -0.206835 1.480490 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.5230 0.5251 0.6714 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.184.obj b/data/sceneparts/tree1/leaves.184.obj new file mode 100644 index 000000000..a1986337d --- /dev/null +++ b/data/sceneparts/tree1/leaves.184.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.184 +v -0.074312 -0.173059 1.464815 +v -0.128093 -0.222493 1.532087 +v -0.103176 -0.168326 1.494082 +v -0.081302 -0.210748 1.480396 +v -0.099229 -0.227226 1.502820 +v -0.121103 -0.184804 1.516506 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7160 0.1492 0.6820 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.185.obj b/data/sceneparts/tree1/leaves.185.obj new file mode 100644 index 000000000..96b043c1c --- /dev/null +++ b/data/sceneparts/tree1/leaves.185.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.185 +v -0.081060 -0.212699 1.472032 +v -0.080548 -0.245594 1.447345 +v -0.027981 -0.258428 1.402491 +v -0.046187 -0.210290 1.450357 +v -0.028494 -0.225533 1.427177 +v -0.062855 -0.260837 1.424165 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4756 -0.5232 0.7071 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.186.obj b/data/sceneparts/tree1/leaves.186.obj new file mode 100644 index 000000000..1de70c850 --- /dev/null +++ b/data/sceneparts/tree1/leaves.186.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.186 +v -0.084171 -0.252449 1.463636 +v -0.113137 -0.260699 1.444228 +v -0.123873 -0.317279 1.423448 +v -0.081674 -0.287420 1.456252 +v -0.094907 -0.309030 1.442856 +v -0.126371 -0.282309 1.430832 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5013 -0.2129 0.8387 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.187.obj b/data/sceneparts/tree1/leaves.187.obj new file mode 100644 index 000000000..c03d97209 --- /dev/null +++ b/data/sceneparts/tree1/leaves.187.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.187 +v -0.085977 -0.291454 1.449291 +v -0.101204 -0.304316 1.428921 +v -0.081537 -0.335844 1.397444 +v -0.067790 -0.308185 1.435096 +v -0.066310 -0.322982 1.417814 +v -0.099724 -0.319112 1.411639 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.2030 0.7523 -0.6267 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.188.obj b/data/sceneparts/tree1/leaves.188.obj new file mode 100644 index 000000000..02a26aaab --- /dev/null +++ b/data/sceneparts/tree1/leaves.188.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.188 +v 0.034194 0.000842 1.515889 +v 0.076526 0.038697 1.500634 +v 0.077588 -0.031419 1.492785 +v 0.162784 0.009232 1.458350 +v 0.120452 -0.028623 1.473605 +v 0.119389 0.041494 1.481454 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4118 -0.0952 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.189.obj b/data/sceneparts/tree1/leaves.189.obj new file mode 100644 index 000000000..74a8f6983 --- /dev/null +++ b/data/sceneparts/tree1/leaves.189.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.189 +v 0.081914 0.003826 1.536907 +v 0.123324 -0.017961 1.517862 +v 0.175071 -0.068536 1.564945 +v 0.102609 -0.022629 1.574644 +v 0.133661 -0.046749 1.583990 +v 0.154376 -0.042082 1.527208 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5412 -0.7987 -0.2631 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.190.obj b/data/sceneparts/tree1/leaves.190.obj new file mode 100644 index 000000000..d52fce5e8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.190.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.190 +v 0.130226 0.017764 1.551439 +v 0.169881 0.033992 1.520833 +v 0.196756 0.119810 1.517812 +v 0.134923 0.069567 1.559627 +v 0.157100 0.103582 1.548418 +v 0.192058 0.068007 1.509624 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6456 -0.1760 0.7431 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.191.obj b/data/sceneparts/tree1/leaves.191.obj new file mode 100644 index 000000000..eec764074 --- /dev/null +++ b/data/sceneparts/tree1/leaves.191.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.191 +v 0.177100 0.025950 1.563153 +v 0.296821 -0.013973 1.578727 +v 0.216632 0.000119 1.539128 +v 0.217383 0.025165 1.597561 +v 0.257289 0.011858 1.602753 +v 0.256539 -0.013189 1.544319 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3368 -0.8639 0.3746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.192.obj b/data/sceneparts/tree1/leaves.192.obj new file mode 100644 index 000000000..05aa2c377 --- /dev/null +++ b/data/sceneparts/tree1/leaves.192.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.192 +v 0.220842 0.005745 1.581814 +v 0.214302 0.046102 1.575467 +v 0.150541 0.072332 1.559826 +v 0.180514 0.009780 1.573502 +v 0.157081 0.031975 1.566173 +v 0.190869 0.068297 1.568138 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1886 0.1227 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.193.obj b/data/sceneparts/tree1/leaves.193.obj new file mode 100644 index 000000000..eb2acb037 --- /dev/null +++ b/data/sceneparts/tree1/leaves.193.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.193 +v 0.258679 -0.024835 1.593576 +v 0.291486 -0.004118 1.599016 +v 0.269213 -0.030564 1.630876 +v 0.323691 -0.002353 1.657685 +v 0.313157 0.003376 1.620386 +v 0.290884 -0.023070 1.652245 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5455 0.7915 0.2756 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.194.obj b/data/sceneparts/tree1/leaves.194.obj new file mode 100644 index 000000000..7524cd995 --- /dev/null +++ b/data/sceneparts/tree1/leaves.194.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.194 +v 0.306084 -0.042374 1.583724 +v 0.291519 -0.075637 1.584120 +v 0.326019 -0.127205 1.585197 +v 0.333939 -0.065665 1.584310 +v 0.340584 -0.093942 1.584801 +v 0.298164 -0.103914 1.584611 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0081 0.0155 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.195.obj b/data/sceneparts/tree1/leaves.195.obj new file mode 100644 index 000000000..5442462bb --- /dev/null +++ b/data/sceneparts/tree1/leaves.195.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.195 +v 0.349694 -0.051529 1.561541 +v 0.328524 -0.025232 1.579384 +v 0.349064 0.035996 1.588698 +v 0.370444 -0.019476 1.561803 +v 0.370234 0.009699 1.570855 +v 0.328314 0.003943 1.588436 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4037 -0.2685 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.196.obj b/data/sceneparts/tree1/leaves.196.obj new file mode 100644 index 000000000..7d5494e55 --- /dev/null +++ b/data/sceneparts/tree1/leaves.196.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.196 +v 0.360794 -0.054328 1.556812 +v 0.387688 -0.041123 1.566794 +v 0.378414 -0.077831 1.568406 +v 0.427564 -0.069776 1.589175 +v 0.400670 -0.082980 1.579193 +v 0.409944 -0.046273 1.577581 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4049 0.1420 0.9033 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.197.obj b/data/sceneparts/tree1/leaves.197.obj new file mode 100644 index 000000000..13903a76a --- /dev/null +++ b/data/sceneparts/tree1/leaves.197.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.197 +v 0.207399 0.047173 1.594617 +v 0.252975 0.054980 1.590567 +v 0.287565 0.121010 1.617674 +v 0.215267 0.088591 1.614038 +v 0.241989 0.113203 1.621724 +v 0.279697 0.079592 1.598253 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1544 -0.4434 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.198.obj b/data/sceneparts/tree1/leaves.198.obj new file mode 100644 index 000000000..59a4d4187 --- /dev/null +++ b/data/sceneparts/tree1/leaves.198.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.198 +v 0.235006 0.070209 1.629427 +v 0.275154 0.055889 1.641547 +v 0.337796 0.097384 1.632137 +v 0.263384 0.102646 1.619114 +v 0.297648 0.111704 1.620017 +v 0.309417 0.064948 1.642450 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1302 0.4021 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.199.obj b/data/sceneparts/tree1/leaves.199.obj new file mode 100644 index 000000000..aa5122b29 --- /dev/null +++ b/data/sceneparts/tree1/leaves.199.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.199 +v 0.263195 0.076012 1.675447 +v 0.259924 0.097887 1.706177 +v 0.252817 0.053078 1.703729 +v 0.242721 0.074423 1.763966 +v 0.245993 0.052548 1.733235 +v 0.253099 0.097357 1.735684 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.9616 0.1645 -0.2195 +vn -0.9617 0.1645 -0.2195 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/2 3/5/2 5/6/2 4/2/2 diff --git a/data/sceneparts/tree1/leaves.200.obj b/data/sceneparts/tree1/leaves.200.obj new file mode 100644 index 000000000..8bd03bdd8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.200.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.200 +v 0.282272 0.062150 1.717103 +v 0.268516 0.040957 1.737316 +v 0.303891 0.038481 1.721500 +v 0.294068 -0.005145 1.754018 +v 0.307823 0.016049 1.733805 +v 0.272448 0.018525 1.749621 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3833 -0.4950 -0.7798 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.201.obj b/data/sceneparts/tree1/leaves.201.obj new file mode 100644 index 000000000..a45a647ea --- /dev/null +++ b/data/sceneparts/tree1/leaves.201.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.201 +v 0.301765 0.043456 1.762348 +v 0.292831 0.015262 1.752719 +v 0.327510 -0.022729 1.739346 +v 0.327863 0.027526 1.756642 +v 0.336444 0.005465 1.748974 +v 0.301412 -0.006799 1.745052 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0081 -0.3255 0.9455 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.202.obj b/data/sceneparts/tree1/leaves.202.obj new file mode 100644 index 000000000..84cc763e3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.202.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.202 +v -0.036032 0.046349 1.607623 +v -0.037426 0.107218 1.610752 +v -0.125273 0.161984 1.599067 +v -0.094132 0.062570 1.598790 +v -0.123879 0.101115 1.595938 +v -0.067173 0.145763 1.607900 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1649 -0.0544 0.9848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.203.obj b/data/sceneparts/tree1/leaves.203.obj new file mode 100644 index 000000000..a57bf9882 --- /dev/null +++ b/data/sceneparts/tree1/leaves.203.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.203 +v -0.090327 0.060612 1.634735 +v -0.117049 0.027311 1.613449 +v -0.188902 0.044210 1.578840 +v -0.129322 0.082978 1.618758 +v -0.162180 0.077510 1.600126 +v -0.149908 0.021844 1.594818 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4614 0.1845 -0.8678 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.204.obj b/data/sceneparts/tree1/leaves.204.obj new file mode 100644 index 000000000..6d8677179 --- /dev/null +++ b/data/sceneparts/tree1/leaves.204.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.204 +v -0.148368 0.053788 1.662952 +v -0.187557 0.036350 1.680702 +v -0.165656 0.086534 1.690948 +v -0.233083 0.076750 1.731571 +v -0.193894 0.094188 1.713821 +v -0.215795 0.044004 1.703575 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.5170 -0.3820 0.7660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.205.obj b/data/sceneparts/tree1/leaves.205.obj new file mode 100644 index 000000000..2fb260d29 --- /dev/null +++ b/data/sceneparts/tree1/leaves.205.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.205 +v -0.187238 0.070536 1.708864 +v -0.228412 0.082027 1.725102 +v -0.267889 0.037024 1.775321 +v -0.199831 0.036704 1.736932 +v -0.226715 0.025533 1.759084 +v -0.255295 0.070856 1.747254 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4343 0.4738 0.7660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.206.obj b/data/sceneparts/tree1/leaves.206.obj new file mode 100644 index 000000000..b5b9778a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.206.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.206 +v -0.213315 0.038437 1.754980 +v -0.194841 0.019305 1.777921 +v -0.198410 -0.040558 1.780343 +v -0.221852 0.004905 1.748947 +v -0.216884 -0.021426 1.757402 +v -0.189873 -0.007027 1.786376 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7470 -0.0713 -0.6610 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.207.obj b/data/sceneparts/tree1/leaves.207.obj new file mode 100644 index 000000000..0cb56ff07 --- /dev/null +++ b/data/sceneparts/tree1/leaves.207.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.207 +v -0.223086 0.010199 1.778610 +v -0.252920 -0.050365 1.784707 +v -0.217987 -0.017581 1.778842 +v -0.248075 -0.002398 1.782442 +v -0.258020 -0.022586 1.784474 +v -0.227932 -0.037769 1.780875 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1352 0.0331 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.208.obj b/data/sceneparts/tree1/leaves.208.obj new file mode 100644 index 000000000..6537d2da4 --- /dev/null +++ b/data/sceneparts/tree1/leaves.208.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.208 +v -0.066926 0.095219 1.617849 +v -0.025579 0.065142 1.620245 +v 0.054196 0.092856 1.597477 +v -0.027526 0.123721 1.601871 +v 0.012848 0.122933 1.595081 +v 0.014796 0.064354 1.613455 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1639 0.3002 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.209.obj b/data/sceneparts/tree1/leaves.209.obj new file mode 100644 index 000000000..1a30de838 --- /dev/null +++ b/data/sceneparts/tree1/leaves.209.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.209 +v -0.081095 0.158996 1.619170 +v -0.061781 0.200194 1.613604 +v -0.103740 0.266188 1.609162 +v -0.115506 0.189260 1.618065 +v -0.123054 0.224991 1.614729 +v -0.069330 0.235924 1.610268 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0609 0.1055 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.210.obj b/data/sceneparts/tree1/leaves.210.obj new file mode 100644 index 000000000..b34829b56 --- /dev/null +++ b/data/sceneparts/tree1/leaves.210.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.210 +v -0.067562 0.215693 1.640777 +v -0.030350 0.237139 1.634350 +v 0.013603 0.258513 1.690192 +v -0.050664 0.222793 1.680147 +v -0.023609 0.237066 1.696619 +v -0.003295 0.251412 1.650822 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4916 -0.8692 -0.0542 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.211.obj b/data/sceneparts/tree1/leaves.211.obj new file mode 100644 index 000000000..6818f4d72 --- /dev/null +++ b/data/sceneparts/tree1/leaves.211.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.211 +v -0.072021 0.278556 1.655748 +v -0.099287 0.259353 1.657123 +v -0.097109 0.203798 1.669845 +v -0.061481 0.247920 1.663771 +v -0.069844 0.223001 1.668470 +v -0.107649 0.234434 1.661822 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1047 0.2181 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.212.obj b/data/sceneparts/tree1/leaves.212.obj new file mode 100644 index 000000000..5cfc49675 --- /dev/null +++ b/data/sceneparts/tree1/leaves.212.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.212 +v -0.095548 0.337146 1.659489 +v -0.125944 0.350641 1.665306 +v -0.089959 0.367292 1.673625 +v -0.132757 0.402607 1.689419 +v -0.102362 0.389112 1.683602 +v -0.138346 0.372461 1.675283 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0141 -0.4224 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.213.obj b/data/sceneparts/tree1/leaves.213.obj new file mode 100644 index 000000000..8b3b59649 --- /dev/null +++ b/data/sceneparts/tree1/leaves.213.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.213 +v -0.229772 0.099561 1.735844 +v -0.224511 0.133853 1.748460 +v -0.267563 0.179474 1.741789 +v -0.260227 0.118545 1.727190 +v -0.272824 0.145182 1.729172 +v -0.237108 0.160490 1.750442 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4099 -0.2589 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.214.obj b/data/sceneparts/tree1/leaves.214.obj new file mode 100644 index 000000000..3322228a9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.214.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.214 +v -0.266516 0.131408 1.753441 +v -0.285689 0.152177 1.755135 +v -0.332843 0.143622 1.761817 +v -0.291562 0.118781 1.757332 +v -0.313671 0.122852 1.760123 +v -0.307798 0.156249 1.757927 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1327 0.0418 0.9903 +vn 0.1328 0.0418 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.215.obj b/data/sceneparts/tree1/leaves.215.obj new file mode 100644 index 000000000..7033fa517 --- /dev/null +++ b/data/sceneparts/tree1/leaves.215.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.215 +v -0.004974 -0.024281 1.684559 +v -0.039148 -0.096273 1.800296 +v 0.012140 -0.035709 1.739373 +v -0.044871 -0.060847 1.706903 +v -0.056262 -0.084845 1.745482 +v 0.000748 -0.059707 1.777952 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5315 0.7807 0.3287 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.216.obj b/data/sceneparts/tree1/leaves.216.obj new file mode 100644 index 000000000..dad383458 --- /dev/null +++ b/data/sceneparts/tree1/leaves.216.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.216 +v -0.003064 -0.046060 1.697868 +v 0.025491 -0.085366 1.724869 +v -0.029257 -0.094032 1.687771 +v 0.000479 -0.176977 1.723223 +v 0.026672 -0.129005 1.733320 +v -0.028076 -0.137671 1.696223 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5706 0.1412 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.217.obj b/data/sceneparts/tree1/leaves.217.obj new file mode 100644 index 000000000..7dc7bbb76 --- /dev/null +++ b/data/sceneparts/tree1/leaves.217.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.217 +v -0.000725 -0.070999 1.711682 +v -0.023870 -0.122083 1.717322 +v 0.037913 -0.107901 1.693728 +v 0.022515 -0.202979 1.693210 +v 0.045660 -0.151894 1.687570 +v -0.016123 -0.166076 1.711165 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3690 -0.0648 0.9272 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.218.obj b/data/sceneparts/tree1/leaves.218.obj new file mode 100644 index 000000000..29feb58a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.218.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.218 +v 0.002372 -0.096580 1.722167 +v -0.037153 -0.131334 1.720897 +v -0.024115 -0.219867 1.730120 +v 0.024238 -0.144017 1.728739 +v 0.015409 -0.185113 1.731390 +v -0.045981 -0.172430 1.723548 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1085 0.0872 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.219.obj b/data/sceneparts/tree1/leaves.219.obj new file mode 100644 index 000000000..418def784 --- /dev/null +++ b/data/sceneparts/tree1/leaves.219.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.219 +v 0.005366 -0.119894 1.730356 +v 0.046490 -0.218167 1.708321 +v -0.004514 -0.159969 1.711622 +v 0.042662 -0.145334 1.734399 +v 0.056370 -0.178092 1.727055 +v 0.009194 -0.192727 1.704278 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.3238 0.3340 -0.8852 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.220.obj b/data/sceneparts/tree1/leaves.220.obj new file mode 100644 index 000000000..7b156e100 --- /dev/null +++ b/data/sceneparts/tree1/leaves.220.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.220 +v 0.006900 -0.143513 1.744059 +v 0.032134 -0.181740 1.725029 +v -0.019807 -0.184111 1.753997 +v 0.004691 -0.261750 1.730421 +v 0.031398 -0.221152 1.720483 +v -0.020544 -0.223523 1.749451 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4880 -0.1090 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.221.obj b/data/sceneparts/tree1/leaves.221.obj new file mode 100644 index 000000000..97b3403a6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.221.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.221 +v 0.003509 -0.162407 1.764223 +v -0.014021 -0.204280 1.768339 +v -0.072236 -0.220735 1.817401 +v -0.029458 -0.159418 1.795559 +v -0.054706 -0.178861 1.813285 +v -0.039269 -0.223723 1.786065 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6640 0.2074 -0.7184 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.222.obj b/data/sceneparts/tree1/leaves.222.obj new file mode 100644 index 000000000..80ed141f1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.222.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.222 +v -0.001424 -0.175913 1.785496 +v 0.019050 -0.169827 1.819646 +v 0.058619 -0.218328 1.848276 +v 0.018131 -0.210275 1.793198 +v 0.038145 -0.224413 1.814125 +v 0.039064 -0.183965 1.840573 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7835 0.3275 -0.5281 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.223.obj b/data/sceneparts/tree1/leaves.223.obj new file mode 100644 index 000000000..52840a477 --- /dev/null +++ b/data/sceneparts/tree1/leaves.223.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.223 +v 0.001011 -0.193152 1.806235 +v 0.004932 -0.191550 1.841396 +v -0.020626 -0.231593 1.878887 +v -0.017334 -0.220381 1.819509 +v -0.024547 -0.233195 1.843726 +v -0.002281 -0.204364 1.865613 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.8128 0.5789 0.0643 +vn -0.8128 0.5790 0.0643 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/2 4/5/2 5/6/2 3/2/2 diff --git a/data/sceneparts/tree1/leaves.224.obj b/data/sceneparts/tree1/leaves.224.obj new file mode 100644 index 000000000..b333ec6d5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.224.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.224 +v 0.013452 -0.212426 1.820556 +v 0.070011 -0.175606 1.870190 +v 0.017750 -0.186575 1.843614 +v 0.046860 -0.213730 1.830587 +v 0.065713 -0.201457 1.847132 +v 0.036603 -0.174301 1.860159 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.2474 -0.6217 0.7431 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.225.obj b/data/sceneparts/tree1/leaves.225.obj new file mode 100644 index 000000000..5e320db9a --- /dev/null +++ b/data/sceneparts/tree1/leaves.225.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.225 +v 0.030655 -0.229086 1.828633 +v 0.036992 -0.256124 1.813702 +v 0.087299 -0.273179 1.804680 +v 0.062080 -0.231443 1.827596 +v 0.080962 -0.246141 1.819611 +v 0.055873 -0.270822 1.805717 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0075 -0.4848 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.226.obj b/data/sceneparts/tree1/leaves.226.obj new file mode 100644 index 000000000..697b554b8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.226.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.226 +v 0.049711 -0.247826 1.837916 +v 0.065790 -0.269382 1.826495 +v 0.067190 -0.315222 1.846224 +v 0.045285 -0.271201 1.854876 +v 0.051112 -0.293666 1.857645 +v 0.071616 -0.291847 1.829264 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7719 -0.2711 -0.5751 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.227.obj b/data/sceneparts/tree1/leaves.227.obj new file mode 100644 index 000000000..80f0d1ebe --- /dev/null +++ b/data/sceneparts/tree1/leaves.227.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.227 +v 0.047899 0.031398 1.828453 +v 0.044459 0.067203 1.869187 +v 0.080820 0.072591 1.815324 +v 0.092121 0.146895 1.869859 +v 0.095561 0.111090 1.829126 +v 0.059199 0.105702 1.882989 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7577 0.4571 -0.4658 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.228.obj b/data/sceneparts/tree1/leaves.228.obj new file mode 100644 index 000000000..e1243aa9d --- /dev/null +++ b/data/sceneparts/tree1/leaves.228.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.228 +v 0.126490 0.047276 1.848956 +v 0.152229 -0.003251 1.847464 +v 0.248697 -0.012714 1.847965 +v 0.182222 0.057810 1.849787 +v 0.222958 0.037814 1.849457 +v 0.192965 -0.023248 1.847134 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0085 -0.0338 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.229.obj b/data/sceneparts/tree1/leaves.229.obj new file mode 100644 index 000000000..25b600370 --- /dev/null +++ b/data/sceneparts/tree1/leaves.229.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.229 +v 0.207586 0.037999 1.838447 +v 0.240276 0.073334 1.832147 +v 0.298663 0.070189 1.773297 +v 0.235613 0.024125 1.801314 +v 0.265972 0.034855 1.779597 +v 0.270636 0.084064 1.810430 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6185 0.4585 -0.6382 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.230.obj b/data/sceneparts/tree1/leaves.230.obj new file mode 100644 index 000000000..af33d24cb --- /dev/null +++ b/data/sceneparts/tree1/leaves.230.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.230 +v 0.283893 0.020296 1.856367 +v 0.309683 -0.009727 1.860983 +v 0.376622 -0.002433 1.850880 +v 0.319923 0.035165 1.848092 +v 0.350833 0.027589 1.846263 +v 0.340592 -0.017303 1.859155 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1179 0.2491 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.231.obj b/data/sceneparts/tree1/leaves.231.obj new file mode 100644 index 000000000..6074679b1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.231.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.231 +v 0.366117 0.005206 1.854727 +v 0.424074 -0.043133 1.820897 +v 0.389032 -0.019511 1.861905 +v 0.381841 -0.002302 1.824996 +v 0.401160 -0.018416 1.813720 +v 0.408351 -0.035624 1.850628 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6919 -0.6966 -0.1900 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.232.obj b/data/sceneparts/tree1/leaves.232.obj new file mode 100644 index 000000000..5e23095ea --- /dev/null +++ b/data/sceneparts/tree1/leaves.232.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.232 +v 0.441026 -0.002759 1.832104 +v 0.456217 -0.000594 1.802209 +v 0.466744 0.018490 1.836135 +v 0.502389 0.032363 1.793308 +v 0.476672 0.011114 1.789277 +v 0.487198 0.030198 1.823203 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5941 0.7657 -0.2464 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.233.obj b/data/sceneparts/tree1/leaves.233.obj new file mode 100644 index 000000000..21d2ca2b0 --- /dev/null +++ b/data/sceneparts/tree1/leaves.233.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.233 +v 0.092991 0.074949 1.869531 +v 0.133774 0.087972 1.888962 +v 0.141535 0.102493 1.967597 +v 0.084571 0.080289 1.915477 +v 0.100752 0.089470 1.948165 +v 0.149956 0.097153 1.921651 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2331 -0.9601 0.1543 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.234.obj b/data/sceneparts/tree1/leaves.234.obj new file mode 100644 index 000000000..969b2be75 --- /dev/null +++ b/data/sceneparts/tree1/leaves.234.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.234 +v 0.115805 0.137095 1.919887 +v 0.120757 0.182653 1.921123 +v 0.186979 0.217257 1.944656 +v 0.158303 0.144978 1.935163 +v 0.182028 0.171699 1.943420 +v 0.144482 0.209374 1.929379 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3401 -0.0115 -0.9403 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.235.obj b/data/sceneparts/tree1/leaves.235.obj new file mode 100644 index 000000000..ac1eb767b --- /dev/null +++ b/data/sceneparts/tree1/leaves.235.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.235 +v 0.157471 0.176925 1.976196 +v 0.154002 0.172200 2.013399 +v 0.140677 0.220816 2.053409 +v 0.149744 0.210911 1.990468 +v 0.144146 0.225542 2.016206 +v 0.148404 0.186830 2.039137 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9781 -0.1748 -0.1134 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.236.obj b/data/sceneparts/tree1/leaves.236.obj new file mode 100644 index 000000000..859e2564f --- /dev/null +++ b/data/sceneparts/tree1/leaves.236.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.236 +v 0.209095 0.229577 2.016029 +v 0.236704 0.228196 2.034218 +v 0.232677 0.244466 1.998219 +v 0.285882 0.249840 2.016598 +v 0.262300 0.234951 2.034407 +v 0.258273 0.251221 1.998409 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.2342 -0.8758 -0.4220 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.237.obj b/data/sceneparts/tree1/leaves.237.obj new file mode 100644 index 000000000..82e2bfd3d --- /dev/null +++ b/data/sceneparts/tree1/leaves.237.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.237 +v 0.258739 0.291111 2.033032 +v 0.270831 0.365690 2.046082 +v 0.257681 0.313589 2.055708 +v 0.267858 0.318353 2.019056 +v 0.271889 0.343212 2.023406 +v 0.261712 0.338449 2.060059 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.9511 0.1960 -0.2386 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.238.obj b/data/sceneparts/tree1/leaves.238.obj new file mode 100644 index 000000000..b04befa5f --- /dev/null +++ b/data/sceneparts/tree1/leaves.238.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.238 +v 0.341223 0.047347 1.868677 +v 0.376000 0.054652 1.866859 +v 0.407249 0.077064 1.913958 +v 0.350463 0.059853 1.900682 +v 0.372472 0.069759 1.915776 +v 0.398009 0.064558 1.881953 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2111 -0.9296 0.3023 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.239.obj b/data/sceneparts/tree1/leaves.239.obj new file mode 100644 index 000000000..1953401e5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.239.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.239 +v 0.377276 0.119254 1.884840 +v 0.362974 0.116979 1.915420 +v 0.335387 0.161306 1.940259 +v 0.363651 0.149564 1.891206 +v 0.349689 0.163581 1.909679 +v 0.349011 0.130996 1.933893 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.8565 0.2962 0.4226 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.240.obj b/data/sceneparts/tree1/leaves.240.obj new file mode 100644 index 000000000..2a3aae6ea --- /dev/null +++ b/data/sceneparts/tree1/leaves.240.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.240 +v 0.000656 0.067751 1.929836 +v 0.014983 0.074703 1.980536 +v -0.032317 0.126710 2.038017 +v -0.035653 0.100106 1.951257 +v -0.046644 0.119759 1.987317 +v 0.003992 0.094356 2.016596 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5501 -0.7922 0.2641 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.241.obj b/data/sceneparts/tree1/leaves.241.obj new file mode 100644 index 000000000..7e94d8f21 --- /dev/null +++ b/data/sceneparts/tree1/leaves.241.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.241 +v -0.002186 0.144240 1.981246 +v 0.006272 0.189384 1.968613 +v 0.046853 0.241376 2.016322 +v 0.022048 0.163852 2.017263 +v 0.038394 0.196231 2.028955 +v 0.022619 0.221763 1.980305 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8601 -0.2804 -0.4261 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.242.obj b/data/sceneparts/tree1/leaves.242.obj new file mode 100644 index 000000000..b0982638a --- /dev/null +++ b/data/sceneparts/tree1/leaves.242.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.242 +v -0.002968 0.209975 2.032709 +v -0.014379 0.326546 2.070212 +v 0.016262 0.257078 2.026587 +v -0.029805 0.240586 2.063833 +v -0.033609 0.279443 2.076334 +v 0.012458 0.295935 2.039088 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6559 0.1722 -0.7349 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.243.obj b/data/sceneparts/tree1/leaves.243.obj new file mode 100644 index 000000000..3b76248aa --- /dev/null +++ b/data/sceneparts/tree1/leaves.243.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.243 +v 0.051011 0.236054 2.090932 +v 0.079914 0.223487 2.185227 +v 0.068254 0.208828 2.116961 +v 0.053036 0.254902 2.127767 +v 0.062670 0.250713 2.159198 +v 0.077889 0.204639 2.148393 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.9065 -0.3535 0.2307 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.244.obj b/data/sceneparts/tree1/leaves.244.obj new file mode 100644 index 000000000..cc039467d --- /dev/null +++ b/data/sceneparts/tree1/leaves.244.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.244 +v 0.118906 0.253826 2.148967 +v 0.148485 0.233472 2.159845 +v 0.149029 0.275666 2.144150 +v 0.208460 0.256054 2.158058 +v 0.178337 0.234215 2.162875 +v 0.178880 0.276408 2.147180 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1033 -0.3479 -0.9318 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.245.obj b/data/sceneparts/tree1/leaves.245.obj new file mode 100644 index 000000000..447a3d82a --- /dev/null +++ b/data/sceneparts/tree1/leaves.245.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.245 +v 0.182567 0.272387 2.201537 +v 0.180379 0.284603 2.232490 +v 0.207560 0.331967 2.248771 +v 0.201416 0.299891 2.202075 +v 0.209747 0.319751 2.217819 +v 0.188710 0.304463 2.248234 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7913 0.5476 -0.2721 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.246.obj b/data/sceneparts/tree1/leaves.246.obj new file mode 100644 index 000000000..401e7b31f --- /dev/null +++ b/data/sceneparts/tree1/leaves.246.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.246 +v -0.002968 0.209975 2.032709 +v 0.024033 0.246800 2.033655 +v 0.044620 0.282113 2.100141 +v 0.001756 0.221242 2.076717 +v 0.017619 0.245288 2.099195 +v 0.039896 0.270846 2.056132 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8039 -0.5911 0.0650 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.247.obj b/data/sceneparts/tree1/leaves.247.obj new file mode 100644 index 000000000..8695fd805 --- /dev/null +++ b/data/sceneparts/tree1/leaves.247.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.247 +v -0.025614 0.285847 2.066845 +v -0.053959 0.378519 2.089356 +v -0.014237 0.325611 2.064043 +v -0.055888 0.307864 2.084655 +v -0.065336 0.338755 2.092159 +v -0.023685 0.356502 2.071547 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4667 0.0714 -0.8815 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.248.obj b/data/sceneparts/tree1/leaves.248.obj new file mode 100644 index 000000000..a73342222 --- /dev/null +++ b/data/sceneparts/tree1/leaves.248.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.248 +v 0.004995 0.310953 2.137906 +v 0.014644 0.315907 2.166021 +v 0.034300 0.361074 2.181031 +v 0.014882 0.339412 2.138541 +v 0.024650 0.356119 2.152916 +v 0.024413 0.332615 2.180396 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9142 0.3118 0.2588 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.249.obj b/data/sceneparts/tree1/leaves.249.obj new file mode 100644 index 000000000..f0ba39817 --- /dev/null +++ b/data/sceneparts/tree1/leaves.249.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.249 +v 0.099806 0.279144 2.104314 +v 0.113820 0.281316 2.073864 +v 0.167689 0.299448 2.065860 +v 0.131046 0.290509 2.109128 +v 0.153674 0.297277 2.096310 +v 0.136448 0.288084 2.061046 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3291 -0.9405 0.0844 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.250.obj b/data/sceneparts/tree1/leaves.250.obj new file mode 100644 index 000000000..53dddc1cb --- /dev/null +++ b/data/sceneparts/tree1/leaves.250.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.250 +v 0.127445 0.351564 2.071933 +v 0.122662 0.383011 2.079001 +v 0.114226 0.421609 2.039767 +v 0.123416 0.366814 2.043421 +v 0.119009 0.390162 2.032699 +v 0.118255 0.406359 2.068279 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9854 -0.1618 0.0527 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.251.obj b/data/sceneparts/tree1/leaves.251.obj new file mode 100644 index 000000000..6f0513bac --- /dev/null +++ b/data/sceneparts/tree1/leaves.251.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.251 +v -0.031311 -0.032815 2.015775 +v -0.034282 -0.031339 2.078620 +v -0.126373 -0.044561 2.132556 +v -0.091715 -0.042121 2.030784 +v -0.123402 -0.046036 2.069711 +v -0.065969 -0.035255 2.117547 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1596 0.9867 -0.0307 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.252.obj b/data/sceneparts/tree1/leaves.252.obj new file mode 100644 index 000000000..c15e01e22 --- /dev/null +++ b/data/sceneparts/tree1/leaves.252.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.252 +v -0.052695 -0.072931 2.053536 +v -0.097741 -0.037996 2.052258 +v -0.031947 -0.020408 2.045659 +v -0.089141 0.058256 2.039804 +v -0.109890 0.005733 2.047680 +v -0.044096 0.023321 2.041082 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0667 0.1222 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.253.obj b/data/sceneparts/tree1/leaves.253.obj new file mode 100644 index 000000000..e932ab0cb --- /dev/null +++ b/data/sceneparts/tree1/leaves.253.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.253 +v -0.065025 -0.118427 2.086243 +v -0.071329 -0.125688 2.134455 +v -0.032245 -0.187060 2.176442 +v -0.036867 -0.156922 2.098164 +v -0.025941 -0.179800 2.128231 +v -0.060403 -0.148566 2.164521 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7626 0.6175 0.1927 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.254.obj b/data/sceneparts/tree1/leaves.254.obj new file mode 100644 index 000000000..d1c5f6951 --- /dev/null +++ b/data/sceneparts/tree1/leaves.254.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.254 +v -0.076398 -0.158544 2.124110 +v -0.112879 -0.194309 2.130810 +v -0.099231 -0.267808 2.177328 +v -0.055140 -0.195622 2.152888 +v -0.062750 -0.232043 2.170627 +v -0.120490 -0.230730 2.148550 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3063 0.4678 0.8290 +vn -0.3064 0.4678 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.255.obj b/data/sceneparts/tree1/leaves.255.obj new file mode 100644 index 000000000..08eb4065b --- /dev/null +++ b/data/sceneparts/tree1/leaves.255.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.255 +v -0.093881 -0.179858 2.173191 +v -0.130263 -0.206280 2.185780 +v -0.077357 -0.211249 2.203553 +v -0.123669 -0.266578 2.237618 +v -0.140193 -0.235187 2.207256 +v -0.087287 -0.240156 2.225029 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1945 -0.6271 -0.7542 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.256.obj b/data/sceneparts/tree1/leaves.256.obj new file mode 100644 index 000000000..6523c9f15 --- /dev/null +++ b/data/sceneparts/tree1/leaves.256.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.256 +v -0.111748 -0.193425 2.226120 +v -0.150184 -0.201512 2.213878 +v -0.171078 -0.265866 2.194788 +v -0.112864 -0.233632 2.217473 +v -0.132641 -0.257779 2.207029 +v -0.169961 -0.225659 2.203434 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2599 -0.1961 0.9455 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.257.obj b/data/sceneparts/tree1/leaves.257.obj new file mode 100644 index 000000000..105e13f25 --- /dev/null +++ b/data/sceneparts/tree1/leaves.257.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.257 +v -0.126517 -0.211873 2.277684 +v -0.143319 -0.239504 2.284341 +v -0.191359 -0.239461 2.313925 +v -0.152944 -0.202634 2.295187 +v -0.174558 -0.211830 2.307268 +v -0.164932 -0.248700 2.296422 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5209 0.1129 -0.8461 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.258.obj b/data/sceneparts/tree1/leaves.258.obj new file mode 100644 index 000000000..0553f29cf --- /dev/null +++ b/data/sceneparts/tree1/leaves.258.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.258 +v -0.140285 -0.230661 2.329422 +v -0.213891 -0.242211 2.313186 +v -0.159899 -0.247458 2.310911 +v -0.169741 -0.221564 2.337109 +v -0.194277 -0.225414 2.331697 +v -0.184435 -0.251308 2.305499 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0405 -0.7182 0.6947 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.259.obj b/data/sceneparts/tree1/leaves.259.obj new file mode 100644 index 000000000..b15f22dee --- /dev/null +++ b/data/sceneparts/tree1/leaves.259.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.259 +v 0.020281 -0.080011 2.167166 +v 0.009420 -0.131274 2.166756 +v -0.025343 -0.173756 2.237504 +v 0.000726 -0.091245 2.214468 +v -0.014482 -0.122493 2.237914 +v -0.005788 -0.162523 2.190203 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9216 0.1979 -0.3340 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.260.obj b/data/sceneparts/tree1/leaves.260.obj new file mode 100644 index 000000000..0b6d7dff8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.260.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.260 +v 0.071506 -0.169038 2.241232 +v 0.081015 -0.201610 2.212118 +v 0.052169 -0.272079 2.218368 +v 0.049105 -0.205160 2.255103 +v 0.042660 -0.239507 2.247482 +v 0.074569 -0.235957 2.204496 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7835 -0.2711 0.5592 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.261.obj b/data/sceneparts/tree1/leaves.261.obj new file mode 100644 index 000000000..9f9cda796 --- /dev/null +++ b/data/sceneparts/tree1/leaves.261.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.261 +v 0.109220 -0.209684 2.355079 +v 0.122478 -0.242752 2.348725 +v 0.182646 -0.253193 2.338986 +v 0.144913 -0.205623 2.350704 +v 0.169388 -0.220126 2.345340 +v 0.146953 -0.257255 2.343361 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1356 -0.1343 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.262.obj b/data/sceneparts/tree1/leaves.262.obj new file mode 100644 index 000000000..bb5af4cda --- /dev/null +++ b/data/sceneparts/tree1/leaves.262.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.262 +v 0.171203 -0.220749 2.464948 +v 0.193518 -0.203489 2.477347 +v 0.183786 -0.157946 2.501926 +v 0.157276 -0.196141 2.477201 +v 0.161471 -0.175207 2.489527 +v 0.197713 -0.182554 2.489673 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1027 -0.4893 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.263.obj b/data/sceneparts/tree1/leaves.263.obj new file mode 100644 index 000000000..24c29184a --- /dev/null +++ b/data/sceneparts/tree1/leaves.263.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.263 +v 0.071506 -0.169038 2.241232 +v 0.069104 -0.200332 2.278666 +v 0.078931 -0.213494 2.222393 +v 0.079042 -0.282664 2.269125 +v 0.071616 -0.238208 2.287964 +v 0.081443 -0.251370 2.231691 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.9838 0.1016 0.1480 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.264.obj b/data/sceneparts/tree1/leaves.264.obj new file mode 100644 index 000000000..f48176776 --- /dev/null +++ b/data/sceneparts/tree1/leaves.264.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.264 +v 0.013514 -0.259546 2.284754 +v -0.009155 -0.207234 2.360234 +v -0.014439 -0.236053 2.299592 +v 0.026354 -0.248164 2.320236 +v 0.018797 -0.230727 2.345396 +v -0.021996 -0.218616 2.324752 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4457 0.7928 -0.4156 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.265.obj b/data/sceneparts/tree1/leaves.265.obj new file mode 100644 index 000000000..3e2dfaaa9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.265.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.265 +v -0.005980 -0.266486 2.318947 +v 0.000623 -0.237865 2.317245 +v -0.031302 -0.203782 2.298622 +v -0.029464 -0.253304 2.307099 +v -0.037904 -0.232403 2.300324 +v -0.007818 -0.216964 2.310470 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3811 0.1422 0.9135 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.266.obj b/data/sceneparts/tree1/leaves.266.obj new file mode 100644 index 000000000..6f30bce08 --- /dev/null +++ b/data/sceneparts/tree1/leaves.266.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.266 +v -0.004326 0.116269 2.278352 +v -0.017025 0.157934 2.403990 +v 0.023937 0.125180 2.325166 +v -0.041055 0.135134 2.315296 +v -0.045288 0.149022 2.357175 +v 0.019704 0.139069 2.367046 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1880 -0.9378 0.2920 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.267.obj b/data/sceneparts/tree1/leaves.267.obj new file mode 100644 index 000000000..118a9cf03 --- /dev/null +++ b/data/sceneparts/tree1/leaves.267.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.267 +v -0.024258 0.188351 2.388631 +v -0.058080 0.214455 2.397486 +v -0.009104 0.219344 2.415345 +v -0.052261 0.273996 2.441983 +v -0.018439 0.247892 2.433129 +v -0.067415 0.243003 2.415270 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2314 0.5678 -0.7900 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.268.obj b/data/sceneparts/tree1/leaves.268.obj new file mode 100644 index 000000000..aa8c14880 --- /dev/null +++ b/data/sceneparts/tree1/leaves.268.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.268 +v -0.090267 0.186770 2.493174 +v -0.118751 0.185167 2.488781 +v -0.100387 0.213668 2.495870 +v -0.148173 0.224713 2.490628 +v -0.119689 0.226316 2.495021 +v -0.138053 0.197815 2.487933 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1423 -0.1516 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.269.obj b/data/sceneparts/tree1/leaves.269.obj new file mode 100644 index 000000000..851c0b360 --- /dev/null +++ b/data/sceneparts/tree1/leaves.269.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.269 +v 0.056663 0.205406 2.323895 +v 0.093338 0.188229 2.329663 +v 0.129330 0.195424 2.389154 +v 0.068432 0.215929 2.361633 +v 0.092654 0.212601 2.383386 +v 0.117560 0.184901 2.351416 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4413 -0.8193 0.3661 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.270.obj b/data/sceneparts/tree1/leaves.270.obj new file mode 100644 index 000000000..6cdde4e87 --- /dev/null +++ b/data/sceneparts/tree1/leaves.270.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.270 +v 0.149503 0.218487 2.423040 +v 0.142055 0.192234 2.436126 +v 0.165338 0.217063 2.448793 +v 0.162082 0.176970 2.481300 +v 0.146248 0.178395 2.455546 +v 0.169530 0.203224 2.468213 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7477 0.4538 0.4848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.271.obj b/data/sceneparts/tree1/leaves.271.obj new file mode 100644 index 000000000..d028e62d6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.271.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.271 +v -0.058593 0.172448 2.568492 +v -0.069439 0.248831 2.557507 +v -0.081425 0.194990 2.563509 +v -0.042992 0.200827 2.566152 +v -0.046607 0.226288 2.562490 +v -0.085040 0.220451 2.559847 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0876 0.1296 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.272.obj b/data/sceneparts/tree1/leaves.272.obj new file mode 100644 index 000000000..cdc791d16 --- /dev/null +++ b/data/sceneparts/tree1/leaves.272.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.272 +v 0.101239 -0.185925 2.547043 +v 0.042931 -0.197611 2.598526 +v 0.082343 -0.209112 2.560436 +v 0.081264 -0.170528 2.567972 +v 0.061828 -0.174424 2.585133 +v 0.062907 -0.213008 2.577596 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.6706 -0.1241 0.7314 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.273.obj b/data/sceneparts/tree1/leaves.273.obj new file mode 100644 index 000000000..6dcf65a62 --- /dev/null +++ b/data/sceneparts/tree1/leaves.273.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.273 +v 0.007101 0.086774 2.664010 +v 0.021297 0.085254 2.695228 +v 0.076491 0.102151 2.705681 +v 0.039165 0.098546 2.660572 +v 0.062295 0.103672 2.674462 +v 0.044428 0.090379 2.709119 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3202 0.9279 0.1908 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.274.obj b/data/sceneparts/tree1/leaves.274.obj new file mode 100644 index 000000000..2a23fdcf3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.274.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.274 +v 0.158659 -0.099375 2.612136 +v 0.186129 -0.086840 2.620463 +v 0.226041 -0.115968 2.641039 +v 0.176110 -0.122972 2.623077 +v 0.198571 -0.128503 2.632712 +v 0.208590 -0.092371 2.630097 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3543 0.1648 0.9205 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.obj b/data/sceneparts/tree1/leaves.obj new file mode 100644 index 000000000..f6087d932 --- /dev/null +++ b/data/sceneparts/tree1/leaves.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves +v 0.011625 0.018290 0.819861 +v 0.053985 0.010580 0.855600 +v 0.074352 0.028237 0.891339 +v 0.072727 0.071262 0.927078 +v 0.030367 0.078972 0.891339 +v 0.010000 0.061315 0.855600 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6032 -0.5230 0.6022 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 3/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 6/6/1 diff --git a/data/sceneparts/tree1/tree.obj b/data/sceneparts/tree1/tree.obj new file mode 100644 index 000000000..b75cf53e6 --- /dev/null +++ b/data/sceneparts/tree1/tree.obj @@ -0,0 +1,14839 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o tree +v -0.030659 -0.030659 0.000000 +v -0.000000 -0.043358 0.000000 +v 0.030659 -0.030659 0.000000 +v 0.043358 -0.000000 0.000000 +v 0.030659 0.030659 0.000000 +v 0.000000 0.043358 0.000000 +v -0.030659 0.030659 0.000000 +v -0.043358 0.000000 0.000000 +v -0.025497 -0.026364 0.185378 +v 0.000572 -0.037162 0.185280 +v 0.026640 -0.026364 0.185217 +v 0.037438 -0.000295 0.185225 +v 0.026640 0.025773 0.185300 +v 0.000572 0.036571 0.185398 +v -0.025497 0.025773 0.185461 +v -0.036295 -0.000295 0.185453 +v -0.020335 -0.022069 0.370666 +v 0.001143 -0.030966 0.370697 +v 0.022622 -0.022069 0.370718 +v 0.031518 -0.000591 0.370715 +v 0.022622 0.020888 0.370691 +v 0.001143 0.029784 0.370659 +v -0.020335 0.020888 0.370639 +v -0.029232 -0.000591 0.370641 +v -0.016888 -0.016889 0.577900 +v -0.000001 -0.023883 0.578180 +v 0.016886 -0.016887 0.578354 +v 0.023881 0.000001 0.578320 +v 0.016888 0.016889 0.578098 +v 0.000001 0.023883 0.577818 +v -0.016886 0.016887 0.577645 +v -0.023881 -0.000001 0.577679 +v -0.019969 -0.013245 0.777764 +v -0.004271 -0.019747 0.778269 +v 0.011429 -0.013239 0.778582 +v 0.017935 0.002465 0.778519 +v 0.011436 0.018166 0.778117 +v -0.004262 0.024668 0.777611 +v -0.019963 0.018160 0.777298 +v -0.026469 0.002456 0.777362 +v -0.024265 -0.008974 0.955681 +v -0.009749 -0.014986 0.956100 +v 0.004768 -0.008970 0.956377 +v 0.010783 0.005551 0.956349 +v 0.004772 0.020070 0.956034 +v -0.009744 0.026082 0.955615 +v -0.024262 0.020065 0.955338 +v -0.030276 0.005544 0.955365 +v -0.026512 -0.006530 1.155677 +v -0.013174 -0.012054 1.155730 +v 0.000163 -0.006528 1.155830 +v 0.005685 0.006810 1.155916 +v 0.000159 0.020147 1.155939 +v -0.013178 0.025670 1.155885 +v -0.026515 0.020144 1.155786 +v -0.032038 0.006806 1.155700 +v -0.024189 -0.008249 1.355482 +v -0.012036 -0.013278 1.355227 +v 0.000117 -0.008241 1.355177 +v 0.005150 0.003912 1.355361 +v 0.000115 0.016062 1.355671 +v -0.012038 0.021091 1.355925 +v -0.024190 0.016054 1.355975 +v -0.029223 0.003901 1.355792 +v -0.019560 -0.011701 1.533319 +v -0.008591 -0.016240 1.533084 +v 0.002378 -0.011693 1.533005 +v 0.006920 -0.000723 1.533129 +v 0.002376 0.010244 1.533383 +v -0.008594 0.014783 1.533618 +v -0.019562 0.010236 1.533697 +v -0.024105 -0.000734 1.533573 +v -0.016534 -0.012193 1.733171 +v -0.006746 -0.016244 1.733179 +v 0.003039 -0.012188 1.733152 +v 0.007091 -0.002401 1.733106 +v 0.003034 0.007385 1.733068 +v -0.006753 0.011436 1.733060 +v -0.016539 0.007380 1.733087 +v -0.020590 -0.002408 1.733133 +v -0.016806 -0.007601 1.933069 +v -0.008203 -0.011159 1.933264 +v 0.000398 -0.007593 1.933277 +v 0.003960 0.001009 1.933099 +v 0.000396 0.009607 1.932835 +v -0.008207 0.013165 1.932640 +v -0.016809 0.009599 1.932627 +v -0.020371 0.000997 1.932805 +v -0.018630 -0.000316 2.110872 +v -0.011212 -0.003383 2.111100 +v -0.003794 -0.000307 2.111120 +v -0.000721 0.007110 2.110919 +v -0.003794 0.014523 2.110616 +v -0.011213 0.017590 2.110388 +v -0.018631 0.014514 2.110368 +v -0.021703 0.007097 2.110569 +v -0.020749 0.007585 2.310597 +v -0.014514 0.005006 2.310754 +v -0.008279 0.007591 2.310765 +v -0.005697 0.013826 2.310625 +v -0.008281 0.020058 2.310415 +v -0.014516 0.022636 2.310258 +v -0.020751 0.020051 2.310247 +v -0.023333 0.013817 2.310388 +v -0.008316 0.005499 0.819733 +v -0.005985 0.002645 0.821241 +v -0.003334 0.000085 0.819733 +v -0.001916 -0.000681 0.816091 +v -0.002563 0.000794 0.812450 +v -0.004895 0.003648 0.810941 +v -0.007546 0.006209 0.812450 +v -0.008963 0.006975 0.816091 +v 0.011570 0.023046 0.824137 +v 0.013805 0.020146 0.825617 +v 0.016407 0.017583 0.824115 +v 0.017852 0.016858 0.820512 +v 0.017294 0.018397 0.816919 +v 0.015059 0.021297 0.815439 +v 0.012457 0.023860 0.816940 +v 0.011012 0.024585 0.820543 +v 0.031479 0.040612 0.828546 +v 0.033802 0.037834 0.830035 +v 0.036419 0.035326 0.828554 +v 0.037798 0.034558 0.824970 +v 0.037129 0.035979 0.821383 +v 0.034806 0.038758 0.819894 +v 0.032189 0.041265 0.821375 +v 0.030811 0.042034 0.824959 +v 0.052766 0.061595 0.831562 +v 0.055381 0.059156 0.833075 +v 0.058079 0.056774 0.831619 +v 0.059280 0.055844 0.828046 +v 0.058279 0.056910 0.824449 +v 0.055665 0.059349 0.822935 +v 0.052967 0.061731 0.824392 +v 0.051766 0.062661 0.827965 +v 0.071161 0.084207 0.830481 +v 0.074046 0.082141 0.831972 +v 0.076818 0.079895 0.830526 +v 0.077851 0.078785 0.826988 +v 0.076542 0.079461 0.823431 +v 0.073657 0.081527 0.821940 +v 0.070886 0.083773 0.823387 +v 0.069852 0.084883 0.826925 +v 0.086313 0.105304 0.827629 +v 0.089071 0.103126 0.829116 +v 0.091796 0.100870 0.827683 +v 0.092891 0.099859 0.824170 +v 0.091715 0.100685 0.820634 +v 0.088957 0.102863 0.819148 +v 0.086232 0.105118 0.820580 +v 0.085137 0.106129 0.824093 +v 0.105483 0.126330 0.829098 +v 0.107616 0.123538 0.830501 +v 0.110146 0.121122 0.829060 +v 0.111592 0.120499 0.825621 +v 0.111107 0.122032 0.822197 +v 0.108974 0.124825 0.820794 +v 0.106444 0.127240 0.822235 +v 0.104998 0.127864 0.825674 +v 0.127555 0.142051 0.838227 +v 0.129002 0.138783 0.839361 +v 0.131321 0.136247 0.837861 +v 0.133153 0.135928 0.834604 +v 0.133425 0.138014 0.831500 +v 0.131978 0.141282 0.830366 +v 0.129659 0.143818 0.831866 +v 0.127827 0.144137 0.835122 +v 0.148396 0.152897 0.850427 +v 0.149833 0.149660 0.851552 +v 0.152138 0.147150 0.850068 +v 0.153960 0.146838 0.846844 +v 0.154232 0.148906 0.843768 +v 0.152794 0.152144 0.842642 +v 0.150490 0.154654 0.844127 +v 0.148668 0.154966 0.847351 +v 0.170667 0.168883 0.859750 +v 0.172715 0.166141 0.861112 +v 0.175184 0.163792 0.859715 +v 0.176628 0.163212 0.856376 +v 0.176201 0.164741 0.853052 +v 0.174153 0.167483 0.851690 +v 0.171683 0.169832 0.853088 +v 0.170239 0.170411 0.856426 +v 0.190326 0.189933 0.862047 +v 0.192911 0.187791 0.863480 +v 0.195523 0.185634 0.862120 +v 0.196633 0.184726 0.858763 +v 0.195590 0.185600 0.855375 +v 0.193005 0.187742 0.853942 +v 0.190393 0.189899 0.855302 +v 0.189283 0.190806 0.858659 +v 0.205746 0.210929 0.860042 +v 0.208488 0.209038 0.861452 +v 0.211131 0.206971 0.860102 +v 0.212126 0.205938 0.856781 +v 0.210891 0.206545 0.853436 +v 0.208149 0.208436 0.852026 +v 0.205506 0.210503 0.853377 +v 0.204510 0.211536 0.856697 +v 0.223093 0.234336 0.857977 +v 0.225686 0.232301 0.859384 +v 0.228268 0.230204 0.858048 +v 0.229325 0.229274 0.854753 +v 0.228239 0.230055 0.851428 +v 0.225646 0.232090 0.850021 +v 0.223065 0.234187 0.851357 +v 0.222007 0.235117 0.854653 +v -0.007866 0.000284 0.833070 +v -0.005446 0.003059 0.834586 +v -0.003269 0.006029 0.833070 +v -0.002610 0.007454 0.829410 +v -0.003856 0.006499 0.825750 +v -0.006277 0.003724 0.824234 +v -0.008454 0.000754 0.825750 +v -0.009112 -0.000670 0.829410 +v -0.033345 0.025673 0.836280 +v -0.030666 0.028175 0.837747 +v -0.028201 0.030847 0.836204 +v -0.027394 0.032122 0.832555 +v -0.028718 0.031255 0.828937 +v -0.031397 0.028752 0.827470 +v -0.033863 0.026081 0.829013 +v -0.034669 0.024805 0.832662 +v -0.058020 0.050363 0.839386 +v -0.055772 0.053192 0.840894 +v -0.053776 0.056223 0.839423 +v -0.053201 0.057679 0.835833 +v -0.054384 0.056708 0.832229 +v -0.056632 0.053879 0.830721 +v -0.058628 0.050849 0.832192 +v -0.059203 0.049392 0.835782 +v -0.090212 0.066756 0.843831 +v -0.089213 0.070126 0.845481 +v -0.088513 0.073718 0.844183 +v -0.088522 0.075427 0.840697 +v -0.089233 0.074253 0.837065 +v -0.090232 0.070883 0.835415 +v -0.090932 0.067291 0.836714 +v -0.090923 0.065582 0.840200 +v -0.125143 0.066708 0.847344 +v -0.125522 0.070096 0.849132 +v -0.126239 0.073705 0.848001 +v -0.126874 0.075421 0.844615 +v -0.127054 0.074239 0.840956 +v -0.126674 0.070851 0.839168 +v -0.125957 0.067242 0.840299 +v -0.125323 0.065526 0.843685 +v -0.157235 0.055717 0.850639 +v -0.157855 0.059021 0.852445 +v -0.159036 0.062493 0.851390 +v -0.160086 0.064099 0.848092 +v -0.160390 0.062899 0.844482 +v -0.159770 0.059595 0.842675 +v -0.158589 0.056123 0.843730 +v -0.157539 0.054517 0.847029 +v -0.193149 0.047481 0.859725 +v -0.192841 0.050930 0.861250 +v -0.193613 0.054447 0.860089 +v -0.195012 0.055972 0.856922 +v -0.196220 0.054612 0.853605 +v -0.196528 0.051164 0.852080 +v -0.195757 0.047647 0.853241 +v -0.194357 0.046122 0.856408 +v -0.225875 0.049727 0.877967 +v -0.224717 0.053130 0.879033 +v -0.225132 0.056610 0.877699 +v -0.226876 0.058128 0.874747 +v -0.228928 0.056795 0.871906 +v -0.230086 0.053391 0.870840 +v -0.229672 0.049911 0.872173 +v -0.227927 0.048393 0.875126 +v -0.252989 0.055366 0.898854 +v -0.251953 0.058753 0.899980 +v -0.252348 0.062200 0.898648 +v -0.253941 0.063688 0.895638 +v -0.255800 0.062345 0.892713 +v -0.256835 0.058958 0.891587 +v -0.256441 0.055510 0.892919 +v -0.254848 0.054023 0.895929 +v -0.287122 0.056414 0.913308 +v -0.287059 0.059781 0.914800 +v -0.287604 0.063199 0.913540 +v -0.288436 0.064666 0.910265 +v -0.289068 0.063322 0.906894 +v -0.289130 0.059955 0.905402 +v -0.288586 0.056537 0.906662 +v -0.287754 0.055071 0.909937 +v -0.323699 0.049867 0.914252 +v -0.324644 0.053041 0.915789 +v -0.325341 0.056402 0.914549 +v -0.325383 0.057983 0.911259 +v -0.324744 0.056856 0.907846 +v -0.323800 0.053683 0.906309 +v -0.323102 0.050321 0.907549 +v -0.323060 0.048741 0.910839 +v -0.355488 0.039834 0.906428 +v -0.356793 0.042875 0.907887 +v -0.357538 0.046191 0.906649 +v -0.357285 0.047840 0.903440 +v -0.356182 0.046855 0.900138 +v -0.354877 0.043814 0.898679 +v -0.354132 0.040498 0.899917 +v -0.354385 0.038849 0.903127 +v -0.390919 0.028833 0.898079 +v -0.391963 0.031919 0.899573 +v -0.392664 0.035215 0.898353 +v -0.392613 0.036790 0.895135 +v -0.391838 0.035722 0.891802 +v -0.390794 0.032636 0.890308 +v -0.390093 0.029340 0.891528 +v -0.390144 0.027764 0.894747 +v -0.003869 0.001221 0.854643 +v -0.005998 0.004229 0.856153 +v -0.008451 0.006979 0.854643 +v -0.009790 0.007860 0.850998 +v -0.009232 0.006357 0.847353 +v -0.007103 0.003349 0.845843 +v -0.004650 0.000600 0.847353 +v -0.003311 -0.000282 0.850998 +v -0.032403 -0.020473 0.859412 +v -0.034458 -0.017446 0.860899 +v -0.036827 -0.014669 0.859391 +v -0.038122 -0.013769 0.855771 +v -0.037584 -0.015273 0.852159 +v -0.035530 -0.018299 0.850671 +v -0.033161 -0.021076 0.852179 +v -0.031866 -0.021976 0.855800 +v -0.060774 -0.042038 0.864152 +v -0.062889 -0.039099 0.865641 +v -0.065326 -0.036414 0.864160 +v -0.066656 -0.035558 0.860578 +v -0.066101 -0.037031 0.856993 +v -0.063985 -0.039971 0.855504 +v -0.061549 -0.042655 0.856985 +v -0.060218 -0.043511 0.860567 +v -0.090815 -0.067831 0.869760 +v -0.093185 -0.065160 0.871283 +v -0.095838 -0.062710 0.869856 +v -0.097220 -0.061917 0.866316 +v -0.096521 -0.063245 0.862735 +v -0.094151 -0.065917 0.861212 +v -0.091498 -0.068367 0.862638 +v -0.090117 -0.069160 0.866179 +v -0.116659 -0.096856 0.873589 +v -0.119267 -0.094488 0.875141 +v -0.122117 -0.092298 0.873763 +v -0.123540 -0.091570 0.870261 +v -0.122703 -0.092729 0.866687 +v -0.120095 -0.095097 0.865135 +v -0.117245 -0.097287 0.866513 +v -0.115822 -0.098015 0.870015 +v -0.138118 -0.124473 0.877048 +v -0.140505 -0.121898 0.878544 +v -0.143290 -0.119681 0.877169 +v -0.144843 -0.119121 0.873728 +v -0.144253 -0.120546 0.870237 +v -0.141866 -0.123120 0.868741 +v -0.139081 -0.125337 0.870116 +v -0.137529 -0.125898 0.873557 +v -0.165464 -0.149396 0.887112 +v -0.166999 -0.146131 0.888249 +v -0.169440 -0.143658 0.886752 +v -0.171357 -0.143428 0.883499 +v -0.171627 -0.145574 0.880395 +v -0.170092 -0.148839 0.879259 +v -0.167651 -0.151312 0.880756 +v -0.165734 -0.151542 0.884009 +v -0.195829 -0.162259 0.908390 +v -0.196474 -0.158605 0.908936 +v -0.198567 -0.155999 0.907236 +v -0.200881 -0.155967 0.904285 +v -0.202061 -0.158528 0.901813 +v -0.201415 -0.162181 0.901267 +v -0.199322 -0.164787 0.902967 +v -0.197008 -0.164819 0.905918 +v -0.224045 -0.166756 0.932618 +v -0.224774 -0.163162 0.933223 +v -0.226723 -0.160541 0.931448 +v -0.228749 -0.160428 0.928335 +v -0.229667 -0.162890 0.925706 +v -0.228938 -0.166484 0.925102 +v -0.226989 -0.169105 0.926876 +v -0.224962 -0.169217 0.929989 +v -0.256495 -0.181201 0.946904 +v -0.258315 -0.178170 0.947941 +v -0.260286 -0.175592 0.946198 +v -0.261255 -0.174977 0.942698 +v -0.260653 -0.176685 0.939490 +v -0.258834 -0.179715 0.938454 +v -0.256862 -0.182293 0.940197 +v -0.255894 -0.182909 0.943697 +v -0.284948 -0.206643 0.942343 +v -0.287725 -0.204462 0.943269 +v -0.289706 -0.201930 0.941539 +v -0.289730 -0.200530 0.938168 +v -0.287784 -0.201083 0.935129 +v -0.285008 -0.203264 0.934204 +v -0.283027 -0.205796 0.935933 +v -0.283002 -0.207196 0.939305 +v -0.304501 -0.232885 0.926054 +v -0.307537 -0.231065 0.926797 +v -0.309495 -0.228550 0.925086 +v -0.309227 -0.226814 0.921924 +v -0.306892 -0.226873 0.919163 +v -0.303855 -0.228693 0.918421 +v -0.301897 -0.231208 0.920131 +v -0.302165 -0.232944 0.923293 +v -0.326336 -0.261750 0.908534 +v -0.329161 -0.259720 0.909393 +v -0.331104 -0.257232 0.907696 +v -0.331027 -0.255744 0.904437 +v -0.328974 -0.256128 0.901524 +v -0.326148 -0.258158 0.900665 +v -0.324205 -0.260646 0.902362 +v -0.324283 -0.262134 0.905621 +v -0.009752 0.007257 0.883026 +v -0.008301 0.003865 0.884524 +v -0.006356 0.000730 0.883026 +v -0.005056 -0.000312 0.879409 +v -0.005162 0.001351 0.875792 +v -0.006612 0.004743 0.874294 +v -0.008557 0.007879 0.875792 +v -0.009858 0.008920 0.879409 +v 0.022660 0.023066 0.890191 +v 0.024003 0.019654 0.891656 +v 0.025870 0.016514 0.890157 +v 0.027169 0.015486 0.886572 +v 0.027138 0.017172 0.883002 +v 0.025796 0.020585 0.881537 +v 0.023928 0.023725 0.883035 +v 0.022629 0.024752 0.886620 +v 0.054984 0.038831 0.897337 +v 0.056447 0.035514 0.898818 +v 0.058384 0.032444 0.897350 +v 0.059659 0.031418 0.893793 +v 0.059526 0.033038 0.890230 +v 0.058062 0.036354 0.888749 +v 0.056126 0.039424 0.890217 +v 0.054851 0.040450 0.893775 +v 0.089751 0.058887 0.903807 +v 0.091687 0.055903 0.905362 +v 0.093955 0.053076 0.903968 +v 0.095225 0.052063 0.900442 +v 0.094753 0.053456 0.896849 +v 0.092817 0.056440 0.895294 +v 0.090549 0.059267 0.896688 +v 0.089279 0.060281 0.900214 +v 0.119750 0.085856 0.907055 +v 0.122126 0.083282 0.908652 +v 0.124702 0.080757 0.907309 +v 0.125970 0.079759 0.903814 +v 0.125187 0.080874 0.900214 +v 0.122811 0.083448 0.898618 +v 0.120235 0.085974 0.899960 +v 0.118967 0.086971 0.903455 +v 0.145494 0.112928 0.908514 +v 0.147430 0.110023 0.910057 +v 0.149612 0.107206 0.908690 +v 0.150762 0.106127 0.905215 +v 0.150207 0.107418 0.901667 +v 0.148271 0.110323 0.900124 +v 0.146089 0.113140 0.901491 +v 0.144938 0.114219 0.904966 +v 0.180807 0.129369 0.913598 +v 0.181063 0.125805 0.914841 +v 0.181920 0.122476 0.913262 +v 0.182878 0.121331 0.909786 +v 0.183374 0.123042 0.906449 +v 0.183119 0.126605 0.905205 +v 0.182261 0.129935 0.906784 +v 0.181304 0.131079 0.910260 +v 0.218246 0.123753 0.924901 +v 0.216773 0.120387 0.925650 +v 0.216282 0.117217 0.923709 +v 0.217061 0.116098 0.920215 +v 0.218654 0.117688 0.917216 +v 0.220127 0.121054 0.916467 +v 0.220618 0.124225 0.918408 +v 0.219839 0.125343 0.921901 +v 0.249449 0.104831 0.936694 +v 0.247729 0.101604 0.937359 +v 0.246828 0.098636 0.935312 +v 0.247275 0.097665 0.931752 +v 0.248807 0.099260 0.928765 +v 0.250527 0.102487 0.928100 +v 0.251428 0.105455 0.930148 +v 0.250981 0.106426 0.933707 +v 0.286674 0.091109 0.942171 +v 0.286038 0.087569 0.942964 +v 0.285513 0.084509 0.940981 +v 0.285406 0.083722 0.937384 +v 0.285780 0.085670 0.934280 +v 0.286415 0.089210 0.933487 +v 0.286941 0.092270 0.935470 +v 0.287047 0.093056 0.939067 +v 0.325544 0.091112 0.937429 +v 0.326020 0.087556 0.938100 +v 0.325861 0.084508 0.936097 +v 0.325162 0.083754 0.932595 +v 0.324331 0.085736 0.929644 +v 0.323855 0.089293 0.928974 +v 0.324013 0.092340 0.930977 +v 0.324713 0.093094 0.934479 +v 0.359292 0.097476 0.926461 +v 0.360119 0.094000 0.927029 +v 0.360036 0.090991 0.925025 +v 0.359092 0.090209 0.921622 +v 0.357840 0.092114 0.918813 +v 0.357013 0.095589 0.918245 +v 0.357095 0.098599 0.920249 +v 0.358039 0.099380 0.923652 +v 0.397020 0.104314 0.914502 +v 0.397598 0.100834 0.915134 +v 0.397465 0.097844 0.913163 +v 0.396701 0.097096 0.909742 +v 0.395751 0.099028 0.906877 +v 0.395174 0.102508 0.906245 +v 0.395306 0.105498 0.908216 +v 0.396071 0.106246 0.911637 +v -0.010019 0.001493 0.917706 +v -0.007886 0.004499 0.919214 +v -0.006132 0.007741 0.917706 +v -0.005785 0.009320 0.914067 +v -0.007048 0.008311 0.910428 +v -0.009181 0.005305 0.908921 +v -0.010935 0.002063 0.910428 +v -0.011282 0.000484 0.914067 +v -0.040026 0.017821 0.921574 +v -0.038137 0.020934 0.923104 +v -0.036538 0.024230 0.921630 +v -0.036166 0.025780 0.918017 +v -0.037238 0.024674 0.914380 +v -0.039127 0.021562 0.912851 +v -0.040726 0.018266 0.914325 +v -0.041098 0.016716 0.917938 +v -0.070222 0.034262 0.925472 +v -0.068035 0.037160 0.926938 +v -0.066255 0.040313 0.925445 +v -0.065925 0.041872 0.921869 +v -0.067238 0.040926 0.918303 +v -0.069426 0.038028 0.916837 +v -0.071206 0.034875 0.918330 +v -0.071536 0.033316 0.921907 +v -0.099600 0.057373 0.933284 +v -0.096856 0.059790 0.934589 +v -0.094696 0.062602 0.933007 +v -0.094386 0.064162 0.929465 +v -0.096107 0.063556 0.926038 +v -0.098851 0.061139 0.924733 +v -0.101011 0.058327 0.926315 +v -0.101321 0.056767 0.929857 +v -0.123300 0.084993 0.943083 +v -0.120112 0.086852 0.944180 +v -0.117646 0.089265 0.942474 +v -0.117345 0.090820 0.938966 +v -0.119386 0.090604 0.935709 +v -0.122574 0.088745 0.934612 +v -0.125040 0.086332 0.936318 +v -0.125341 0.084777 0.939826 +v -0.139243 0.112323 0.954105 +v -0.135745 0.113598 0.954940 +v -0.133158 0.115755 0.953145 +v -0.132999 0.117529 0.949770 +v -0.135361 0.117882 0.946793 +v -0.138859 0.116607 0.945957 +v -0.141446 0.114450 0.947753 +v -0.141605 0.112676 0.951128 +v -0.150749 0.142298 0.972074 +v -0.147031 0.142869 0.972478 +v -0.144406 0.144836 0.970594 +v -0.144411 0.147047 0.967525 +v -0.147044 0.148208 0.965068 +v -0.150762 0.147637 0.964664 +v -0.153387 0.145670 0.966548 +v -0.153381 0.143458 0.969617 +v -0.152635 0.170005 0.995550 +v -0.148890 0.169904 0.995394 +v -0.146272 0.171676 0.993377 +v -0.146315 0.174282 0.990681 +v -0.148993 0.176196 0.988886 +v -0.152738 0.176297 0.989042 +v -0.155356 0.174525 0.991059 +v -0.155314 0.171918 0.993755 +v -0.147594 0.192391 1.020110 +v -0.143879 0.192340 1.020005 +v -0.141274 0.194275 1.018194 +v -0.141305 0.197065 1.015738 +v -0.143953 0.199074 1.014076 +v -0.147668 0.199126 1.014181 +v -0.150273 0.197190 1.015991 +v -0.150243 0.194400 1.018447 +v -0.150714 0.215659 1.047334 +v -0.147165 0.216326 1.048061 +v -0.144683 0.218782 1.046889 +v -0.144721 0.221588 1.044503 +v -0.147257 0.223101 1.042302 +v -0.150806 0.222434 1.041574 +v -0.153288 0.219978 1.042746 +v -0.153250 0.217172 1.045132 +v -0.166392 0.236295 1.071921 +v -0.163322 0.237589 1.073412 +v -0.161200 0.240502 1.072832 +v -0.161269 0.243328 1.070522 +v -0.163489 0.244411 1.067834 +v -0.166559 0.243117 1.066343 +v -0.168681 0.240204 1.066923 +v -0.168612 0.237378 1.069233 +v -0.187345 0.251677 1.092271 +v -0.184541 0.253162 1.094009 +v -0.182634 0.256214 1.093648 +v -0.182741 0.259046 1.091401 +v -0.184798 0.259999 1.088582 +v -0.187602 0.258514 1.086845 +v -0.189509 0.255462 1.087205 +v -0.189402 0.252630 1.089453 +v -0.210883 0.269349 1.115543 +v -0.207937 0.270684 1.117088 +v -0.205910 0.273596 1.116585 +v -0.205989 0.276380 1.114330 +v -0.208127 0.277405 1.111643 +v -0.211073 0.276071 1.110098 +v -0.213101 0.273159 1.110601 +v -0.213022 0.270374 1.112856 +v -0.006053 0.004741 0.958555 +v -0.009298 0.006501 0.960048 +v -0.012792 0.007695 0.958555 +v -0.014487 0.007624 0.954953 +v -0.013391 0.006329 0.951350 +v -0.010145 0.004569 0.949858 +v -0.006652 0.003375 0.951350 +v -0.004957 0.003446 0.954953 +v -0.020452 -0.026353 0.965926 +v -0.023637 -0.024534 0.967389 +v -0.027079 -0.023298 0.965897 +v -0.028761 -0.023371 0.962325 +v -0.027698 -0.024709 0.958765 +v -0.024513 -0.026529 0.957302 +v -0.021071 -0.027764 0.958794 +v -0.019389 -0.027691 0.962366 +v -0.034815 -0.057365 0.973277 +v -0.038019 -0.055664 0.974751 +v -0.041463 -0.054509 0.973288 +v -0.043129 -0.054578 0.969746 +v -0.042042 -0.055830 0.966198 +v -0.038838 -0.057532 0.964724 +v -0.035394 -0.058686 0.966187 +v -0.033728 -0.058617 0.969730 +v -0.048989 -0.092942 0.980553 +v -0.052284 -0.091564 0.982075 +v -0.055771 -0.090608 0.980661 +v -0.057408 -0.090635 0.977140 +v -0.056235 -0.091629 0.973575 +v -0.052939 -0.093008 0.972054 +v -0.049452 -0.093964 0.973468 +v -0.047815 -0.093937 0.976988 +v -0.059375 -0.128887 0.985171 +v -0.062740 -0.127847 0.986724 +v -0.066257 -0.127098 0.985350 +v -0.067866 -0.127078 0.981853 +v -0.066624 -0.127799 0.978282 +v -0.063259 -0.128839 0.976728 +v -0.059742 -0.129588 0.978102 +v -0.058133 -0.129608 0.981599 +v -0.066818 -0.161640 0.988285 +v -0.070131 -0.160522 0.989813 +v -0.073620 -0.159788 0.988452 +v -0.075241 -0.159869 0.984998 +v -0.074045 -0.160716 0.981475 +v -0.070732 -0.161834 0.979946 +v -0.067243 -0.162568 0.981307 +v -0.065622 -0.162488 0.984761 +v -0.077860 -0.196882 0.995468 +v -0.080947 -0.195193 0.996856 +v -0.084321 -0.194215 0.995451 +v -0.086004 -0.194519 0.992077 +v -0.085010 -0.195928 0.988710 +v -0.081922 -0.197617 0.987322 +v -0.078549 -0.198595 0.988727 +v -0.076866 -0.198291 0.992101 +v -0.094523 -0.228419 1.008042 +v -0.097320 -0.226214 1.009215 +v -0.100547 -0.225011 1.007734 +v -0.102315 -0.225513 1.004465 +v -0.101588 -0.227427 1.001324 +v -0.098791 -0.229632 1.000151 +v -0.095563 -0.230836 1.001632 +v -0.093795 -0.230334 1.004900 +v -0.111504 -0.254111 1.022246 +v -0.114331 -0.252024 1.023457 +v -0.117615 -0.250982 1.022062 +v -0.119432 -0.251596 1.018878 +v -0.118717 -0.253506 1.015771 +v -0.115890 -0.255593 1.014560 +v -0.112607 -0.256634 1.015954 +v -0.110790 -0.256021 1.019138 +v -0.124551 -0.285822 1.036188 +v -0.127629 -0.284466 1.037691 +v -0.131092 -0.283972 1.036537 +v -0.132911 -0.284628 1.033402 +v -0.132021 -0.286051 1.030123 +v -0.128943 -0.287406 1.028620 +v -0.125480 -0.287900 1.029774 +v -0.123661 -0.287244 1.032909 +v -0.129215 -0.321073 1.046447 +v -0.132381 -0.320496 1.048171 +v -0.135900 -0.320588 1.047206 +v -0.137711 -0.321295 1.044116 +v -0.136754 -0.322203 1.040713 +v -0.133588 -0.322781 1.038989 +v -0.130069 -0.322689 1.039955 +v -0.128258 -0.321981 1.043044 +v -0.127859 -0.353988 1.053596 +v -0.130996 -0.353718 1.055376 +v -0.134484 -0.354051 1.054476 +v -0.136279 -0.354790 1.051424 +v -0.135330 -0.355503 1.048008 +v -0.132193 -0.355773 1.046228 +v -0.128705 -0.355440 1.047127 +v -0.126910 -0.354701 1.050179 +v -0.126578 -0.391271 1.061807 +v -0.129688 -0.390794 1.063522 +v -0.133146 -0.390956 1.062592 +v -0.134925 -0.391662 1.059562 +v -0.133983 -0.392498 1.056207 +v -0.130872 -0.392975 1.054492 +v -0.127415 -0.392813 1.055422 +v -0.125636 -0.392107 1.058452 +v -0.011682 0.009850 1.006138 +v -0.012215 0.006191 1.007615 +v -0.011999 0.002499 1.006138 +v -0.011160 0.000938 1.002572 +v -0.010189 0.002421 0.999007 +v -0.009656 0.006080 0.997530 +v -0.009872 0.009772 0.999007 +v -0.010711 0.011334 1.002572 +v 0.013184 0.010634 1.011590 +v 0.012963 0.007004 1.013127 +v 0.013394 0.003342 1.011714 +v 0.014224 0.001793 1.008178 +v 0.014968 0.003265 1.004590 +v 0.015189 0.006896 1.003052 +v 0.014758 0.010558 1.004465 +v 0.013927 0.012106 1.008002 +v 0.038416 0.011413 1.017130 +v 0.037764 0.007822 1.018549 +v 0.037887 0.004197 1.017073 +v 0.038713 0.002661 1.013567 +v 0.039759 0.004115 1.010084 +v 0.040411 0.007706 1.008665 +v 0.040288 0.011331 1.010141 +v 0.039462 0.012866 1.013647 +v 0.065071 0.006370 1.025592 +v 0.063534 0.002987 1.026717 +v 0.063001 -0.000477 1.025046 +v 0.063784 -0.001992 1.021558 +v 0.065425 -0.000672 1.018296 +v 0.066962 0.002712 1.017172 +v 0.067495 0.006175 1.018843 +v 0.066712 0.007691 1.022331 +v 0.088399 -0.005151 1.035467 +v 0.086078 -0.008122 1.036243 +v 0.084960 -0.011273 1.034335 +v 0.085698 -0.012757 1.030861 +v 0.087862 -0.011706 1.027856 +v 0.090182 -0.008734 1.027080 +v 0.091300 -0.005583 1.028987 +v 0.090562 -0.004099 1.032461 +v 0.105856 -0.019899 1.045408 +v 0.103053 -0.022445 1.045886 +v 0.101652 -0.025336 1.043826 +v 0.102475 -0.026879 1.040434 +v 0.105038 -0.026171 1.037697 +v 0.107841 -0.023625 1.037219 +v 0.109241 -0.020734 1.039279 +v 0.108419 -0.019191 1.042671 +v 0.121912 -0.038031 1.058566 +v 0.118812 -0.040189 1.058771 +v 0.117321 -0.042939 1.056643 +v 0.118314 -0.044670 1.053429 +v 0.121208 -0.044368 1.051012 +v 0.124308 -0.042210 1.050807 +v 0.125799 -0.039460 1.052935 +v 0.124806 -0.037729 1.056149 +v 0.133562 -0.056985 1.073811 +v 0.130238 -0.058716 1.073689 +v 0.128677 -0.061305 1.071471 +v 0.129792 -0.063236 1.068456 +v 0.132932 -0.063376 1.066411 +v 0.136256 -0.061645 1.066532 +v 0.137818 -0.059056 1.068750 +v 0.136702 -0.057126 1.071765 +v 0.140270 -0.075077 1.088874 +v 0.136945 -0.076727 1.088699 +v 0.135399 -0.079297 1.086503 +v 0.136538 -0.081281 1.083575 +v 0.139696 -0.081518 1.081628 +v 0.143022 -0.079868 1.081804 +v 0.144567 -0.077298 1.084000 +v 0.143428 -0.075313 1.086928 +v 0.150404 -0.094075 1.105376 +v 0.147312 -0.096072 1.105518 +v 0.145896 -0.098826 1.103523 +v 0.146987 -0.100724 1.100560 +v 0.149945 -0.100654 1.098366 +v 0.153037 -0.098658 1.098225 +v 0.154452 -0.095903 1.100219 +v 0.153361 -0.094005 1.103182 +v 0.164834 -0.110935 1.120798 +v 0.162032 -0.113234 1.121231 +v 0.160781 -0.116149 1.119424 +v 0.161813 -0.117971 1.116434 +v 0.164524 -0.117633 1.114013 +v 0.167326 -0.115334 1.113580 +v 0.168577 -0.112420 1.115387 +v 0.167545 -0.110598 1.118377 +v 0.179744 -0.124679 1.134082 +v 0.177073 -0.127059 1.134610 +v 0.175897 -0.130010 1.132879 +v 0.176907 -0.131802 1.129904 +v 0.179510 -0.131387 1.127427 +v 0.182182 -0.129006 1.126900 +v 0.183357 -0.126056 1.128630 +v 0.182348 -0.124263 1.131606 +v 0.196474 -0.140239 1.149095 +v 0.193753 -0.142527 1.149549 +v 0.192543 -0.145407 1.147793 +v 0.193552 -0.147192 1.144853 +v 0.196190 -0.146837 1.142454 +v 0.198911 -0.144549 1.141999 +v 0.200121 -0.141669 1.143756 +v 0.199112 -0.139884 1.146695 +v -0.015314 0.008561 1.061557 +v -0.013001 0.005674 1.063031 +v -0.010135 0.003335 1.061557 +v -0.008394 0.002914 1.058001 +v -0.008799 0.004659 1.054444 +v -0.011112 0.007546 1.052971 +v -0.013978 0.009885 1.054444 +v -0.015719 0.010306 1.058001 +v 0.012546 0.034685 1.072501 +v 0.014752 0.031737 1.073928 +v 0.017552 0.029376 1.072451 +v 0.019305 0.028986 1.068934 +v 0.018985 0.030794 1.065438 +v 0.016779 0.033742 1.064011 +v 0.013979 0.036103 1.065488 +v 0.012226 0.036493 1.069005 +v 0.040380 0.060783 1.083435 +v 0.042688 0.057978 1.084896 +v 0.045523 0.055695 1.083453 +v 0.047225 0.055271 1.079952 +v 0.046795 0.056954 1.076443 +v 0.044486 0.059760 1.074982 +v 0.041651 0.062043 1.076424 +v 0.039950 0.062467 1.079926 +v 0.069469 0.092430 1.093008 +v 0.072175 0.090137 1.094589 +v 0.075227 0.088156 1.093235 +v 0.076838 0.087646 1.089739 +v 0.076064 0.088907 1.086150 +v 0.073359 0.091200 1.084569 +v 0.070307 0.093182 1.085923 +v 0.068696 0.093691 1.089419 +v 0.091566 0.130334 1.096799 +v 0.094604 0.128628 1.098436 +v 0.097838 0.126996 1.097135 +v 0.099374 0.126393 1.093657 +v 0.098311 0.127173 1.090040 +v 0.095273 0.128878 1.088403 +v 0.092039 0.130510 1.089704 +v 0.090503 0.131113 1.093182 +v 0.109156 0.166963 1.097573 +v 0.111854 0.164774 1.099151 +v 0.114809 0.162756 1.097824 +v 0.116290 0.162091 1.094370 +v 0.115429 0.163169 1.090812 +v 0.112730 0.165359 1.089234 +v 0.109775 0.167376 1.090561 +v 0.108295 0.168041 1.094015 +v 0.139537 0.194686 1.104904 +v 0.140790 0.191311 1.106065 +v 0.142762 0.188499 1.104479 +v 0.144297 0.187897 1.101074 +v 0.144496 0.189859 1.097845 +v 0.143243 0.193234 1.096684 +v 0.141271 0.196046 1.098270 +v 0.139736 0.196647 1.101675 +v 0.177499 0.200689 1.122358 +v 0.177046 0.196990 1.122775 +v 0.177875 0.193968 1.120715 +v 0.179502 0.193394 1.117386 +v 0.180972 0.195603 1.114737 +v 0.181425 0.199302 1.114320 +v 0.180596 0.202324 1.116380 +v 0.178970 0.202898 1.119709 +v 0.212815 0.190064 1.141344 +v 0.211845 0.186481 1.141522 +v 0.212057 0.183583 1.139204 +v 0.213325 0.183068 1.135749 +v 0.214908 0.185238 1.133180 +v 0.215878 0.188821 1.133002 +v 0.215667 0.191719 1.135319 +v 0.214398 0.192234 1.138775 +v 0.254961 0.181506 1.153176 +v 0.254591 0.177856 1.153503 +v 0.254616 0.175015 1.151160 +v 0.255021 0.174647 1.147517 +v 0.255570 0.176968 1.144710 +v 0.255940 0.180618 1.144382 +v 0.255915 0.183459 1.146726 +v 0.255510 0.183827 1.150368 +v 0.298003 0.182140 1.151763 +v 0.298224 0.178510 1.152081 +v 0.298025 0.175699 1.149761 +v 0.297522 0.175353 1.146162 +v 0.297011 0.177676 1.143392 +v 0.296790 0.181305 1.143075 +v 0.296989 0.184116 1.145395 +v 0.297491 0.184462 1.148994 +v 0.335647 0.185195 1.141953 +v 0.336009 0.181607 1.142239 +v 0.335654 0.178811 1.139972 +v 0.334791 0.178445 1.136478 +v 0.333924 0.180723 1.133806 +v 0.333562 0.184311 1.133519 +v 0.333917 0.187107 1.135787 +v 0.334780 0.187473 1.139280 +v 0.377284 0.188476 1.131451 +v 0.377545 0.184914 1.131756 +v 0.377302 0.182152 1.129486 +v 0.376697 0.181807 1.125970 +v 0.376085 0.184081 1.123268 +v 0.375824 0.187642 1.122964 +v 0.376067 0.190405 1.125234 +v 0.376672 0.190750 1.128749 +v -0.010285 0.004086 1.126492 +v -0.011705 0.007504 1.127961 +v -0.013839 0.010529 1.126492 +v -0.015437 0.011388 1.122947 +v -0.015562 0.009578 1.119402 +v -0.014141 0.006160 1.117934 +v -0.012007 0.003136 1.119402 +v -0.010410 0.002277 1.122947 +v -0.039143 -0.011816 1.135556 +v -0.040555 -0.008428 1.137013 +v -0.042671 -0.005428 1.135557 +v -0.044251 -0.004574 1.132040 +v -0.044371 -0.006366 1.128523 +v -0.042959 -0.009754 1.127066 +v -0.040844 -0.012754 1.128523 +v -0.039263 -0.013608 1.132039 +v -0.067996 -0.027714 1.144618 +v -0.069391 -0.024353 1.146062 +v -0.071490 -0.021379 1.144618 +v -0.073062 -0.020534 1.141132 +v -0.073186 -0.022315 1.137647 +v -0.071791 -0.025676 1.136203 +v -0.069692 -0.028650 1.137647 +v -0.068120 -0.029495 1.141133 +v -0.100311 -0.045473 1.154907 +v -0.101711 -0.042148 1.156343 +v -0.103770 -0.039188 1.154904 +v -0.105282 -0.038325 1.151434 +v -0.105362 -0.040066 1.147965 +v -0.103962 -0.043391 1.146528 +v -0.101903 -0.046351 1.147967 +v -0.100391 -0.047214 1.151437 +v -0.131894 -0.062801 1.163678 +v -0.133300 -0.059515 1.165107 +v -0.135318 -0.056566 1.163674 +v -0.136764 -0.055682 1.160218 +v -0.136793 -0.057380 1.156764 +v -0.135386 -0.060666 1.155335 +v -0.133369 -0.063615 1.156768 +v -0.131922 -0.064499 1.160223 +v -0.159823 -0.078078 1.171385 +v -0.161138 -0.074777 1.172777 +v -0.163205 -0.071890 1.171378 +v -0.164813 -0.071109 1.168006 +v -0.165020 -0.072891 1.164638 +v -0.163705 -0.076192 1.163246 +v -0.161638 -0.079078 1.164645 +v -0.160030 -0.079860 1.168017 +v -0.189697 -0.094310 1.184051 +v -0.190602 -0.090837 1.185244 +v -0.192721 -0.088011 1.183890 +v -0.194812 -0.087487 1.180780 +v -0.195649 -0.089574 1.177738 +v -0.194743 -0.093047 1.176544 +v -0.192625 -0.095874 1.177899 +v -0.190534 -0.096397 1.181008 +v -0.219126 -0.105417 1.206891 +v -0.219640 -0.101814 1.207794 +v -0.221790 -0.099034 1.206488 +v -0.224317 -0.098704 1.203737 +v -0.225741 -0.101019 1.201153 +v -0.225227 -0.104622 1.200250 +v -0.223077 -0.107403 1.201556 +v -0.220550 -0.107732 1.204307 +v -0.244074 -0.113942 1.231368 +v -0.245171 -0.110665 1.232736 +v -0.247605 -0.108060 1.231684 +v -0.249950 -0.107654 1.228830 +v -0.250833 -0.109684 1.225844 +v -0.249736 -0.112962 1.224477 +v -0.247302 -0.115566 1.225528 +v -0.244957 -0.115972 1.228383 +v -0.267712 -0.136049 1.242605 +v -0.270262 -0.134256 1.244568 +v -0.273219 -0.132217 1.243752 +v -0.274851 -0.131126 1.240635 +v -0.274203 -0.131623 1.237043 +v -0.271654 -0.133416 1.235080 +v -0.268697 -0.135455 1.235896 +v -0.267064 -0.136546 1.239013 +v -0.280402 -0.166304 1.231934 +v -0.283777 -0.166411 1.233320 +v -0.287029 -0.165103 1.232300 +v -0.288252 -0.163147 1.229471 +v -0.286731 -0.161688 1.226491 +v -0.283355 -0.161582 1.225105 +v -0.280104 -0.162889 1.226125 +v -0.278880 -0.164845 1.228954 +v -0.279763 -0.193049 1.208118 +v -0.283182 -0.193859 1.208977 +v -0.286434 -0.192844 1.207762 +v -0.287614 -0.190599 1.205183 +v -0.286031 -0.188438 1.202752 +v -0.282612 -0.187628 1.201893 +v -0.279360 -0.188643 1.203109 +v -0.278180 -0.190889 1.205687 +v -0.279568 -0.223074 1.182024 +v -0.282929 -0.223446 1.183212 +v -0.286140 -0.222269 1.182141 +v -0.287321 -0.220232 1.179440 +v -0.285779 -0.218527 1.176690 +v -0.282418 -0.218154 1.175502 +v -0.279207 -0.219331 1.176573 +v -0.278026 -0.221369 1.179274 +v -0.012451 0.010352 1.200924 +v -0.014679 0.007388 1.202377 +v -0.016109 0.003967 1.200924 +v -0.015905 0.002094 1.197416 +v -0.014185 0.002865 1.193908 +v -0.011958 0.005829 1.192455 +v -0.010528 0.009250 1.193908 +v -0.010732 0.011123 1.197416 +v 0.021245 -0.006962 1.211854 +v 0.019204 -0.009992 1.213353 +v 0.017891 -0.013441 1.211948 +v 0.018077 -0.015290 1.208464 +v 0.019651 -0.014454 1.204940 +v 0.021693 -0.011424 1.203441 +v 0.023005 -0.007974 1.204846 +v 0.022820 -0.006126 1.208330 +v 0.055092 -0.024358 1.222837 +v 0.052836 -0.027234 1.224241 +v 0.051388 -0.030573 1.222797 +v 0.051596 -0.032419 1.219350 +v 0.053338 -0.031691 1.215919 +v 0.055593 -0.028815 1.214515 +v 0.057042 -0.025476 1.215959 +v 0.056834 -0.023629 1.219406 +v 0.089072 -0.047943 1.237837 +v 0.086375 -0.050470 1.239026 +v 0.084627 -0.053561 1.237455 +v 0.084851 -0.055404 1.234046 +v 0.086916 -0.054920 1.230794 +v 0.089613 -0.052392 1.229605 +v 0.091362 -0.049302 1.231175 +v 0.091138 -0.047459 1.234585 +v 0.117090 -0.075513 1.254467 +v 0.114021 -0.077636 1.255412 +v 0.112016 -0.080438 1.253694 +v 0.112250 -0.082277 1.250321 +v 0.114586 -0.082075 1.247267 +v 0.117655 -0.079952 1.246323 +v 0.119659 -0.077151 1.248040 +v 0.119425 -0.075312 1.251414 +v 0.137670 -0.102874 1.271027 +v 0.134401 -0.104692 1.271782 +v 0.132314 -0.107344 1.269999 +v 0.132632 -0.109276 1.266723 +v 0.135168 -0.109356 1.263873 +v 0.138438 -0.107538 1.263118 +v 0.140525 -0.104886 1.264901 +v 0.140207 -0.102955 1.268177 +v 0.157769 -0.133235 1.292521 +v 0.154363 -0.134784 1.293079 +v 0.152317 -0.137447 1.291339 +v 0.152830 -0.139666 1.288318 +v 0.155601 -0.140141 1.285787 +v 0.159007 -0.138592 1.285228 +v 0.161053 -0.135929 1.286969 +v 0.160540 -0.133710 1.289989 +v 0.172602 -0.162062 1.320382 +v 0.169090 -0.163340 1.320697 +v 0.167078 -0.166009 1.318998 +v 0.167743 -0.168507 1.316282 +v 0.170696 -0.169370 1.314138 +v 0.174208 -0.168093 1.313824 +v 0.176220 -0.165423 1.315522 +v 0.175555 -0.162925 1.318239 +v 0.182724 -0.187706 1.348410 +v 0.179328 -0.189139 1.348884 +v 0.177323 -0.191765 1.347180 +v 0.177883 -0.194044 1.344299 +v 0.180681 -0.194642 1.341926 +v 0.184077 -0.193208 1.341453 +v 0.186082 -0.190583 1.343156 +v 0.185522 -0.188303 1.346038 +v 0.203252 -0.217607 1.369721 +v 0.200369 -0.219702 1.370649 +v 0.198358 -0.222271 1.368939 +v 0.198398 -0.223808 1.365592 +v 0.200465 -0.223413 1.362569 +v 0.203348 -0.221318 1.361640 +v 0.205359 -0.218749 1.363351 +v 0.205319 -0.217212 1.366698 +v 0.233895 -0.246048 1.375694 +v 0.231705 -0.248762 1.376773 +v 0.229678 -0.251275 1.375070 +v 0.229002 -0.252116 1.371583 +v 0.230073 -0.250791 1.368354 +v 0.232263 -0.248077 1.367275 +v 0.234289 -0.245564 1.368979 +v 0.234965 -0.244723 1.372466 +v 0.265609 -0.268278 1.370176 +v 0.263736 -0.271190 1.371219 +v 0.261711 -0.273668 1.369533 +v 0.260721 -0.274260 1.366105 +v 0.261346 -0.272619 1.362943 +v 0.263220 -0.269707 1.361899 +v 0.265245 -0.267229 1.363585 +v 0.266235 -0.266637 1.367013 +v 0.300605 -0.293054 1.364496 +v 0.298547 -0.295791 1.365552 +v 0.296552 -0.298255 1.363880 +v 0.295789 -0.299002 1.360459 +v 0.296705 -0.297595 1.357293 +v 0.298763 -0.294858 1.356236 +v 0.300758 -0.292394 1.357908 +v 0.301521 -0.291647 1.361329 +v -0.016725 0.007011 1.275028 +v -0.014178 0.004305 1.276460 +v -0.010978 0.002416 1.275028 +v -0.009001 0.002449 1.271572 +v -0.009403 0.004386 1.268116 +v -0.011950 0.007091 1.266684 +v -0.015150 0.008981 1.268116 +v -0.017128 0.008948 1.271572 +v 0.002377 0.030531 1.286202 +v 0.004886 0.027826 1.287611 +v 0.008050 0.025941 1.286186 +v 0.010015 0.025979 1.282761 +v 0.009631 0.027918 1.279342 +v 0.007122 0.030622 1.277933 +v 0.003958 0.032508 1.279358 +v 0.001993 0.032470 1.282783 +v 0.021471 0.054039 1.297370 +v 0.023982 0.051387 1.298781 +v 0.027132 0.049533 1.297376 +v 0.029075 0.049564 1.293976 +v 0.028674 0.051461 1.290574 +v 0.026162 0.054113 1.289163 +v 0.023012 0.055967 1.290568 +v 0.021069 0.055936 1.293968 +v 0.042467 0.080886 1.309470 +v 0.044967 0.078269 1.310875 +v 0.048075 0.076412 1.309473 +v 0.049971 0.076404 1.306085 +v 0.049543 0.078248 1.302695 +v 0.047043 0.080865 1.301289 +v 0.043935 0.082722 1.302692 +v 0.042040 0.082731 1.306080 +v 0.063485 0.106643 1.320663 +v 0.065968 0.104055 1.322059 +v 0.069030 0.102189 1.320658 +v 0.070876 0.102138 1.317281 +v 0.070425 0.103933 1.313905 +v 0.067941 0.106521 1.312509 +v 0.064879 0.108387 1.313910 +v 0.063033 0.108437 1.317288 +v 0.081802 0.129687 1.330159 +v 0.084416 0.127326 1.331626 +v 0.087592 0.125666 1.330314 +v 0.089470 0.125680 1.326992 +v 0.088949 0.127361 1.323605 +v 0.086335 0.129722 1.322138 +v 0.083159 0.131382 1.323450 +v 0.081281 0.131368 1.326772 +v 0.098280 0.157767 1.340546 +v 0.101084 0.155791 1.342141 +v 0.104475 0.154563 1.341001 +v 0.106468 0.154801 1.337794 +v 0.105894 0.156368 1.334399 +v 0.103089 0.158344 1.332804 +v 0.099698 0.159572 1.333944 +v 0.097706 0.159333 1.337151 +v 0.110335 0.187881 1.352136 +v 0.113267 0.186301 1.353858 +v 0.116806 0.185523 1.352893 +v 0.118878 0.186002 1.349805 +v 0.118271 0.187458 1.346403 +v 0.115339 0.189039 1.344681 +v 0.111800 0.189817 1.345646 +v 0.109727 0.189337 1.348734 +v 0.117421 0.216483 1.362320 +v 0.120437 0.215332 1.364162 +v 0.124013 0.214818 1.363289 +v 0.126054 0.215243 1.360212 +v 0.125364 0.216358 1.356734 +v 0.122348 0.217509 1.354892 +v 0.118772 0.218023 1.355766 +v 0.116731 0.217598 1.358842 +v 0.123511 0.250401 1.369215 +v 0.126581 0.249702 1.371127 +v 0.130135 0.249248 1.370272 +v 0.132091 0.249304 1.367151 +v 0.131303 0.249838 1.363592 +v 0.128233 0.250536 1.361681 +v 0.124679 0.250991 1.362536 +v 0.122723 0.250935 1.365656 +v 0.128156 0.284964 1.370202 +v 0.131257 0.284731 1.372113 +v 0.134787 0.284347 1.371268 +v 0.136679 0.284035 1.368162 +v 0.135824 0.283979 1.364614 +v 0.132723 0.284211 1.362702 +v 0.129192 0.284596 1.363547 +v 0.127301 0.284907 1.366653 +v 0.130224 0.315989 1.366804 +v 0.133315 0.315981 1.368682 +v 0.136818 0.315658 1.367841 +v 0.138681 0.315208 1.364773 +v 0.137812 0.314896 1.361276 +v 0.134721 0.314903 1.359398 +v 0.131218 0.315226 1.360239 +v 0.129355 0.315676 1.363307 +v 0.132626 0.350723 1.363188 +v 0.135676 0.350561 1.365061 +v 0.139144 0.350200 1.364231 +v 0.140997 0.349853 1.361183 +v 0.140151 0.349721 1.357703 +v 0.137100 0.349884 1.355829 +v 0.133632 0.350244 1.356660 +v 0.131779 0.350592 1.359708 +v -0.013090 0.000325 1.348004 +v -0.010525 0.003029 1.349406 +v -0.008947 0.006406 1.348004 +v -0.009280 0.008477 1.344619 +v -0.011329 0.008029 1.341234 +v -0.013894 0.005324 1.339832 +v -0.015472 0.001948 1.341234 +v -0.015139 -0.000123 1.344619 +v -0.034133 0.015208 1.359115 +v -0.031542 0.017856 1.360481 +v -0.029942 0.021181 1.359072 +v -0.030270 0.023233 1.355715 +v -0.032335 0.022812 1.352375 +v -0.034926 0.020163 1.351009 +v -0.036526 0.016839 1.352418 +v -0.036198 0.014786 1.355776 +v -0.055115 0.030048 1.370195 +v -0.052611 0.032720 1.371583 +v -0.051073 0.036050 1.370211 +v -0.051401 0.038086 1.366883 +v -0.053403 0.037637 1.363547 +v -0.055906 0.034965 1.362159 +v -0.057444 0.031636 1.363531 +v -0.057116 0.029599 1.366859 +v -0.079594 0.045745 1.382181 +v -0.077288 0.048508 1.383638 +v -0.075777 0.051819 1.382285 +v -0.075946 0.053737 1.378914 +v -0.077697 0.053140 1.375500 +v -0.080003 0.050378 1.374043 +v -0.081514 0.047067 1.375397 +v -0.081345 0.045148 1.378768 +v -0.105393 0.061380 1.390473 +v -0.103292 0.064230 1.391982 +v -0.101796 0.067513 1.390641 +v -0.101782 0.069307 1.387235 +v -0.103259 0.068560 1.383759 +v -0.105361 0.065710 1.382250 +v -0.106857 0.062426 1.383592 +v -0.106870 0.060633 1.386998 +v -0.128427 0.074166 1.396819 +v -0.126367 0.077004 1.398325 +v -0.125273 0.080464 1.397144 +v -0.125785 0.082519 1.393970 +v -0.127603 0.081966 1.390661 +v -0.129663 0.079128 1.389156 +v -0.130757 0.075667 1.390336 +v -0.130245 0.073612 1.393510 +v -0.150392 0.082837 1.411537 +v -0.148091 0.085544 1.412837 +v -0.147640 0.089235 1.412138 +v -0.149303 0.091746 1.409850 +v -0.152105 0.091608 1.407312 +v -0.154406 0.088901 1.406012 +v -0.154857 0.085211 1.406711 +v -0.153194 0.082699 1.409000 +v -0.164366 0.085993 1.435977 +v -0.161893 0.088635 1.436962 +v -0.161869 0.092385 1.436938 +v -0.164307 0.095046 1.435920 +v -0.167779 0.095060 1.434503 +v -0.170251 0.092418 1.433518 +v -0.170275 0.088668 1.433542 +v -0.167838 0.086007 1.434560 +v -0.171224 0.083416 1.462773 +v -0.168936 0.085999 1.464156 +v -0.169161 0.089660 1.464755 +v -0.171767 0.092255 1.464220 +v -0.175228 0.092264 1.462864 +v -0.177515 0.089682 1.461482 +v -0.177290 0.086021 1.460882 +v -0.174684 0.083426 1.461417 +v -0.185242 0.075968 1.488572 +v -0.183587 0.078222 1.490969 +v -0.184099 0.081706 1.492048 +v -0.186479 0.084380 1.491177 +v -0.189331 0.084676 1.488865 +v -0.190986 0.082422 1.486467 +v -0.190473 0.078938 1.485388 +v -0.188094 0.076264 1.486260 +v -0.207234 0.065178 1.505053 +v -0.206483 0.066946 1.508157 +v -0.207429 0.070170 1.509585 +v -0.209516 0.072961 1.508500 +v -0.211523 0.073684 1.505538 +v -0.212273 0.071916 1.502434 +v -0.211328 0.068692 1.501006 +v -0.209241 0.065901 1.502091 +v -0.229947 0.052201 1.513295 +v -0.229611 0.053727 1.516557 +v -0.230795 0.056784 1.518085 +v -0.232804 0.059583 1.516982 +v -0.234462 0.060483 1.513896 +v -0.234797 0.058957 1.510633 +v -0.233613 0.055900 1.509106 +v -0.231604 0.053101 1.510208 +v -0.255563 0.037633 1.522949 +v -0.254952 0.039301 1.526061 +v -0.255956 0.042426 1.527502 +v -0.257987 0.045176 1.526427 +v -0.259856 0.045941 1.523466 +v -0.260467 0.044273 1.520354 +v -0.259463 0.041148 1.518913 +v -0.257432 0.038398 1.519988 +v -0.007248 0.000699 1.421452 +v -0.009447 0.003710 1.422852 +v -0.012493 0.005860 1.421452 +v -0.014601 0.005890 1.418074 +v -0.014537 0.003782 1.414696 +v -0.012339 0.000771 1.413297 +v -0.009293 -0.001379 1.414696 +v -0.007184 -0.001409 1.418074 +v -0.023301 -0.018241 1.430725 +v -0.025687 -0.015481 1.432236 +v -0.028824 -0.013476 1.430918 +v -0.030873 -0.013401 1.427543 +v -0.030634 -0.015298 1.424088 +v -0.028248 -0.018058 1.422577 +v -0.025111 -0.020063 1.423895 +v -0.023062 -0.020139 1.427270 +v -0.039481 -0.037318 1.440075 +v -0.041553 -0.034269 1.441395 +v -0.044497 -0.032104 1.439987 +v -0.046589 -0.032093 1.436677 +v -0.046603 -0.034241 1.433403 +v -0.044531 -0.037291 1.432083 +v -0.041587 -0.039456 1.433491 +v -0.039496 -0.039467 1.436801 +v -0.060122 -0.052812 1.453849 +v -0.061436 -0.049254 1.454679 +v -0.063871 -0.046758 1.452970 +v -0.066000 -0.046787 1.449724 +v -0.066577 -0.049323 1.446841 +v -0.065263 -0.052881 1.446011 +v -0.062829 -0.055377 1.447720 +v -0.060699 -0.055348 1.450966 +v -0.083540 -0.060367 1.469082 +v -0.084023 -0.056558 1.469356 +v -0.085888 -0.053895 1.467295 +v -0.088044 -0.053939 1.464106 +v -0.089227 -0.056663 1.461657 +v -0.088744 -0.060473 1.461383 +v -0.086879 -0.063135 1.463444 +v -0.084723 -0.063092 1.466633 +v -0.104532 -0.060954 1.483798 +v -0.104501 -0.057140 1.483674 +v -0.106271 -0.054494 1.481569 +v -0.108804 -0.054567 1.478715 +v -0.110617 -0.057315 1.476786 +v -0.110648 -0.061129 1.476910 +v -0.108878 -0.063775 1.479016 +v -0.106345 -0.063702 1.481869 +v -0.122778 -0.058776 1.503950 +v -0.122575 -0.055012 1.503622 +v -0.124707 -0.052351 1.501984 +v -0.127925 -0.052351 1.499996 +v -0.130345 -0.055012 1.498822 +v -0.130548 -0.058775 1.499151 +v -0.128416 -0.061436 1.500789 +v -0.125197 -0.061436 1.502777 +v -0.132449 -0.055511 1.528658 +v -0.132138 -0.051819 1.528076 +v -0.134478 -0.049101 1.526982 +v -0.138099 -0.048948 1.526017 +v -0.140879 -0.051450 1.525747 +v -0.141190 -0.055141 1.526329 +v -0.138850 -0.057860 1.527422 +v -0.135229 -0.058013 1.528387 +v -0.135861 -0.049793 1.554020 +v -0.135476 -0.046202 1.553141 +v -0.137744 -0.043553 1.551857 +v -0.141338 -0.043397 1.550921 +v -0.144151 -0.045825 1.550882 +v -0.144536 -0.049416 1.551761 +v -0.142267 -0.052065 1.553044 +v -0.138674 -0.052221 1.553980 +v -0.145834 -0.041257 1.580436 +v -0.145370 -0.037763 1.579366 +v -0.147285 -0.035398 1.577290 +v -0.150458 -0.035548 1.575424 +v -0.153029 -0.038125 1.574861 +v -0.153492 -0.041619 1.575931 +v -0.151577 -0.043984 1.578007 +v -0.148405 -0.043834 1.579872 +v -0.164356 -0.031619 1.600935 +v -0.163754 -0.028235 1.599706 +v -0.165104 -0.026195 1.596996 +v -0.167615 -0.026694 1.594394 +v -0.169816 -0.029440 1.593423 +v -0.170418 -0.032823 1.594653 +v -0.169069 -0.034863 1.597363 +v -0.166558 -0.034365 1.599965 +v -0.184410 -0.022114 1.614482 +v -0.183721 -0.018805 1.613192 +v -0.184795 -0.016911 1.610304 +v -0.187003 -0.017541 1.607509 +v -0.189051 -0.020326 1.606445 +v -0.189740 -0.023634 1.607735 +v -0.188666 -0.025528 1.610623 +v -0.186458 -0.024898 1.613418 +v -0.206060 -0.011826 1.629354 +v -0.205442 -0.008517 1.628124 +v -0.206689 -0.006552 1.625399 +v -0.209072 -0.007082 1.622775 +v -0.211194 -0.009797 1.621789 +v -0.211813 -0.013106 1.623019 +v -0.210565 -0.015071 1.625745 +v -0.208182 -0.014540 1.628368 +v -0.011036 0.003797 1.497770 +v -0.011518 0.000095 1.499153 +v -0.010723 -0.003554 1.497770 +v -0.009117 -0.005011 1.494430 +v -0.007640 -0.003423 1.491091 +v -0.007158 0.000280 1.489707 +v -0.007953 0.003929 1.491091 +v -0.009559 0.005386 1.494430 +v 0.018962 0.004314 1.512417 +v 0.018381 0.000639 1.513740 +v 0.019128 -0.002980 1.512348 +v 0.020765 -0.004424 1.509057 +v 0.022333 -0.002846 1.505795 +v 0.022914 0.000829 1.504472 +v 0.022167 0.004449 1.505863 +v 0.020530 0.005892 1.509154 +v 0.048964 0.004831 1.527066 +v 0.048530 0.001192 1.528444 +v 0.049329 -0.002395 1.527092 +v 0.050891 -0.003829 1.523800 +v 0.052302 -0.002269 1.520497 +v 0.052736 0.001370 1.519118 +v 0.051938 0.004957 1.520471 +v 0.050375 0.006391 1.523763 +v 0.083095 0.007703 1.541210 +v 0.083157 0.004152 1.542777 +v 0.084231 0.000628 1.541551 +v 0.085687 -0.000804 1.538249 +v 0.086673 0.000694 1.534806 +v 0.086610 0.004246 1.533238 +v 0.085536 0.007770 1.534464 +v 0.084080 0.009202 1.537766 +v 0.116713 0.016776 1.551677 +v 0.117287 0.013380 1.553396 +v 0.118652 0.009959 1.552276 +v 0.120008 0.008518 1.548974 +v 0.120562 0.009901 1.545425 +v 0.119989 0.013297 1.543707 +v 0.118624 0.016718 1.544826 +v 0.117267 0.018159 1.548128 +v 0.147523 0.027373 1.559053 +v 0.147760 0.023924 1.560669 +v 0.148723 0.020436 1.559456 +v 0.149847 0.018953 1.556124 +v 0.150474 0.020343 1.552625 +v 0.150236 0.023792 1.551010 +v 0.149274 0.027280 1.552223 +v 0.148150 0.028763 1.555555 +v 0.182500 0.028575 1.568382 +v 0.181443 0.025153 1.569600 +v 0.181314 0.021693 1.568075 +v 0.182189 0.020222 1.564702 +v 0.183555 0.021602 1.561455 +v 0.184612 0.025024 1.560237 +v 0.184741 0.028484 1.561761 +v 0.183866 0.029955 1.565135 +v 0.213852 0.014770 1.581651 +v 0.211639 0.011838 1.582400 +v 0.210547 0.008788 1.580511 +v 0.211217 0.007408 1.577089 +v 0.213256 0.008506 1.574140 +v 0.215470 0.011438 1.573391 +v 0.216561 0.014488 1.575280 +v 0.215891 0.015868 1.578702 +v 0.238138 -0.006494 1.593406 +v 0.235792 -0.009294 1.594092 +v 0.234305 -0.012032 1.592066 +v 0.234546 -0.013104 1.588515 +v 0.236376 -0.011882 1.585520 +v 0.238721 -0.009081 1.584834 +v 0.240209 -0.006343 1.586860 +v 0.239968 -0.005272 1.590411 +v 0.268355 -0.026660 1.597509 +v 0.266761 -0.029892 1.598271 +v 0.265291 -0.032608 1.596264 +v 0.264805 -0.033217 1.592664 +v 0.265588 -0.031362 1.589579 +v 0.267182 -0.028129 1.588818 +v 0.268652 -0.025413 1.590825 +v 0.269138 -0.024805 1.594425 +v 0.301548 -0.038623 1.590271 +v 0.300738 -0.042132 1.590871 +v 0.299262 -0.044816 1.588886 +v 0.297984 -0.045103 1.585478 +v 0.297653 -0.042826 1.582645 +v 0.298463 -0.039317 1.582046 +v 0.299939 -0.036633 1.584031 +v 0.301217 -0.036346 1.587438 +v 0.330631 -0.045037 1.575992 +v 0.330081 -0.048578 1.576481 +v 0.328554 -0.051221 1.574540 +v 0.326943 -0.051418 1.571308 +v 0.326193 -0.049052 1.568676 +v 0.326743 -0.045511 1.568187 +v 0.328270 -0.042868 1.570128 +v 0.329881 -0.042671 1.573360 +v 0.362796 -0.052290 1.560522 +v 0.362080 -0.055757 1.561082 +v 0.360610 -0.058386 1.559140 +v 0.359248 -0.058638 1.555835 +v 0.358791 -0.056365 1.553102 +v 0.359508 -0.052899 1.552542 +v 0.360978 -0.050269 1.554484 +v 0.362340 -0.050017 1.557789 +v -0.009691 -0.005241 1.580451 +v -0.006310 -0.003607 1.581778 +v -0.003839 -0.000781 1.580451 +v -0.003724 0.001583 1.577249 +v -0.006034 0.002099 1.574046 +v -0.009414 0.000465 1.572719 +v -0.011886 -0.002362 1.574046 +v -0.012000 -0.004725 1.577249 +v -0.022718 0.017533 1.594697 +v -0.019171 0.018860 1.595817 +v -0.016508 0.021343 1.594287 +v -0.016288 0.023526 1.591004 +v -0.018641 0.024132 1.587891 +v -0.022187 0.022805 1.586771 +v -0.024851 0.020323 1.588301 +v -0.025070 0.018139 1.591583 +v -0.035179 0.039486 1.608384 +v -0.031954 0.041215 1.609779 +v -0.029633 0.044129 1.608573 +v -0.029575 0.046520 1.605472 +v -0.031814 0.046988 1.602294 +v -0.035038 0.045259 1.600900 +v -0.037359 0.042345 1.602106 +v -0.037417 0.039953 1.605206 +v -0.055106 0.055201 1.623047 +v -0.052976 0.057665 1.625161 +v -0.051791 0.061337 1.624730 +v -0.052243 0.064066 1.622006 +v -0.054069 0.064254 1.618584 +v -0.056199 0.061790 1.616470 +v -0.057384 0.058118 1.616902 +v -0.056931 0.055389 1.619626 +v -0.081005 0.057650 1.633922 +v -0.080261 0.060281 1.636631 +v -0.080503 0.064117 1.636840 +v -0.081591 0.066911 1.634425 +v -0.082886 0.067026 1.630802 +v -0.083630 0.064395 1.628093 +v -0.083387 0.060559 1.627884 +v -0.082300 0.057765 1.630299 +v -0.107367 0.050840 1.641475 +v -0.106812 0.053422 1.644229 +v -0.107431 0.057172 1.644576 +v -0.108860 0.059892 1.642313 +v -0.110263 0.059989 1.638766 +v -0.110817 0.057407 1.636011 +v -0.110199 0.053657 1.635664 +v -0.108769 0.050937 1.637927 +v -0.135553 0.046931 1.655450 +v -0.133953 0.049569 1.657639 +v -0.133756 0.053346 1.657566 +v -0.135078 0.056050 1.655274 +v -0.137145 0.056096 1.652105 +v -0.138745 0.053458 1.649916 +v -0.138941 0.049681 1.649989 +v -0.137619 0.046977 1.652282 +v -0.159401 0.054338 1.675456 +v -0.156922 0.056751 1.676902 +v -0.156030 0.060337 1.676266 +v -0.157249 0.062996 1.673919 +v -0.159863 0.063170 1.671237 +v -0.162342 0.060757 1.669790 +v -0.163234 0.057171 1.670426 +v -0.162016 0.054512 1.672773 +v -0.176197 0.064043 1.695669 +v -0.173691 0.066416 1.697046 +v -0.173065 0.070065 1.696712 +v -0.174687 0.072851 1.694863 +v -0.177606 0.073142 1.692581 +v -0.180113 0.070769 1.691203 +v -0.180738 0.067120 1.691537 +v -0.179116 0.064334 1.693387 +v -0.192178 0.064155 1.718607 +v -0.190151 0.066479 1.720622 +v -0.190402 0.070040 1.721529 +v -0.192784 0.072753 1.720797 +v -0.195902 0.073028 1.718855 +v -0.197929 0.070704 1.716840 +v -0.197678 0.067143 1.715933 +v -0.195296 0.064430 1.716665 +v -0.204750 0.050982 1.739554 +v -0.203090 0.052946 1.742144 +v -0.204019 0.055814 1.744202 +v -0.206993 0.057906 1.744522 +v -0.210270 0.057997 1.742916 +v -0.211930 0.056033 1.740325 +v -0.211000 0.053165 1.738267 +v -0.208026 0.051073 1.737947 +v -0.211755 0.030539 1.756571 +v -0.210193 0.032305 1.759315 +v -0.211298 0.034744 1.761747 +v -0.214422 0.036428 1.762442 +v -0.217736 0.036371 1.760994 +v -0.219298 0.034605 1.758250 +v -0.218193 0.032166 1.755819 +v -0.215069 0.030482 1.755123 +v -0.220285 0.006925 1.776776 +v -0.218685 0.008798 1.779379 +v -0.219663 0.011492 1.781531 +v -0.222647 0.013428 1.781972 +v -0.225888 0.013472 1.780443 +v -0.227488 0.011599 1.777840 +v -0.226510 0.008905 1.775688 +v -0.223526 0.006969 1.775247 +v -0.003387 -0.000315 1.674422 +v -0.007121 0.000125 1.675735 +v -0.010716 -0.000974 1.674422 +v -0.012067 -0.002967 1.671250 +v -0.010382 -0.004688 1.668079 +v -0.006649 -0.005127 1.666765 +v -0.003053 -0.004029 1.668079 +v -0.001703 -0.002035 1.671250 +v -0.001510 -0.022070 1.687679 +v -0.005214 -0.021609 1.688966 +v -0.008778 -0.022712 1.687672 +v -0.010114 -0.024734 1.684554 +v -0.008439 -0.026491 1.681439 +v -0.004734 -0.026953 1.680152 +v -0.001170 -0.025849 1.681446 +v 0.000165 -0.023827 1.684564 +v 0.000377 -0.043927 1.700996 +v -0.003293 -0.043504 1.702294 +v -0.006829 -0.044579 1.700999 +v -0.008159 -0.046522 1.697870 +v -0.006504 -0.048194 1.694739 +v -0.002834 -0.048616 1.693442 +v 0.000702 -0.047541 1.694737 +v 0.002032 -0.045599 1.697866 +v 0.002707 -0.069088 1.714893 +v -0.000917 -0.068822 1.716261 +v -0.004429 -0.069831 1.714947 +v -0.005771 -0.071524 1.711720 +v -0.004157 -0.072910 1.708472 +v -0.000533 -0.073175 1.707104 +v 0.002978 -0.072166 1.708418 +v 0.004320 -0.070473 1.711645 +v 0.005800 -0.094906 1.725445 +v 0.002226 -0.094809 1.726872 +v -0.001262 -0.095749 1.725543 +v -0.002622 -0.097176 1.722237 +v -0.001056 -0.098254 1.718889 +v 0.002517 -0.098351 1.717462 +v 0.006006 -0.097410 1.718791 +v 0.007365 -0.095983 1.722097 +v 0.008749 -0.118092 1.733545 +v 0.005187 -0.117822 1.734887 +v 0.001730 -0.118766 1.733575 +v 0.000403 -0.120370 1.730377 +v 0.001984 -0.121696 1.727166 +v 0.005546 -0.121966 1.725824 +v 0.009003 -0.121022 1.727136 +v 0.010329 -0.119417 1.730335 +v 0.010240 -0.141335 1.746979 +v 0.006688 -0.140435 1.747921 +v 0.003260 -0.141339 1.746600 +v 0.001964 -0.143516 1.743791 +v 0.003559 -0.145691 1.741138 +v 0.007111 -0.146590 1.740197 +v 0.010539 -0.145687 1.741517 +v 0.011835 -0.143510 1.744327 +v 0.006862 -0.159944 1.766812 +v 0.003413 -0.158527 1.767214 +v 0.000021 -0.159383 1.765864 +v -0.001328 -0.162010 1.763554 +v 0.000156 -0.164869 1.761635 +v 0.003604 -0.166286 1.761233 +v 0.006997 -0.165431 1.762582 +v 0.008346 -0.162804 1.764893 +v 0.001948 -0.173195 1.787694 +v -0.001505 -0.171987 1.788353 +v -0.004910 -0.173078 1.787339 +v -0.006273 -0.175830 1.785245 +v -0.004796 -0.178630 1.783298 +v -0.001343 -0.179838 1.782639 +v 0.002062 -0.178747 1.783653 +v 0.003425 -0.175995 1.785746 +v 0.004290 -0.190109 1.808012 +v 0.001031 -0.189814 1.809703 +v -0.002240 -0.191474 1.809363 +v -0.003606 -0.194117 1.807190 +v -0.002268 -0.196194 1.804459 +v 0.000992 -0.196489 1.802768 +v 0.004262 -0.194829 1.803108 +v 0.005628 -0.192187 1.805281 +v 0.016461 -0.209023 1.822011 +v 0.013831 -0.209699 1.824451 +v 0.010979 -0.211972 1.824610 +v 0.009576 -0.214511 1.822394 +v 0.010443 -0.215828 1.819102 +v 0.013072 -0.215152 1.816662 +v 0.015924 -0.212879 1.816503 +v 0.017327 -0.210340 1.818719 +v 0.033474 -0.225538 1.829977 +v 0.031208 -0.226575 1.832599 +v 0.028618 -0.229083 1.832898 +v 0.027222 -0.231592 1.830699 +v 0.027836 -0.232633 1.827290 +v 0.030102 -0.231596 1.824668 +v 0.032692 -0.229088 1.824369 +v 0.034088 -0.226579 1.826568 +v 0.052617 -0.244429 1.839311 +v 0.050137 -0.245210 1.841777 +v 0.047407 -0.247523 1.841981 +v 0.046027 -0.250014 1.839804 +v 0.046806 -0.251222 1.836521 +v 0.049286 -0.250442 1.834055 +v 0.052016 -0.248128 1.833851 +v 0.053396 -0.245638 1.836028 +v -0.010304 0.000389 1.782551 +v -0.009412 -0.003276 1.783828 +v -0.007029 -0.006200 1.782551 +v -0.004550 -0.006670 1.779470 +v -0.003428 -0.004411 1.776389 +v -0.004320 -0.000745 1.775113 +v -0.006703 0.002179 1.776389 +v -0.009181 0.002649 1.779470 +v 0.016588 0.016795 1.806609 +v 0.017571 0.013215 1.807954 +v 0.020196 0.010460 1.806901 +v 0.022927 0.010144 1.804066 +v 0.024164 0.012453 1.801110 +v 0.023181 0.016033 1.799765 +v 0.020556 0.018788 1.800819 +v 0.017825 0.019104 1.803654 +v 0.044415 0.033703 1.831402 +v 0.045245 0.030077 1.832625 +v 0.047466 0.027143 1.831285 +v 0.049776 0.026620 1.828166 +v 0.050821 0.028815 1.825096 +v 0.049990 0.032441 1.823873 +v 0.047770 0.035374 1.825213 +v 0.045460 0.035897 1.828332 +v 0.083044 0.046387 1.849970 +v 0.083519 0.042682 1.851028 +v 0.084651 0.039435 1.849224 +v 0.085777 0.038549 1.845616 +v 0.086238 0.040543 1.842317 +v 0.085764 0.044249 1.841259 +v 0.084632 0.047495 1.843063 +v 0.083506 0.048381 1.846671 +v 0.125993 0.050362 1.853009 +v 0.126078 0.046649 1.854019 +v 0.125991 0.043306 1.852112 +v 0.125783 0.042292 1.848405 +v 0.125577 0.044201 1.845068 +v 0.125492 0.047914 1.844058 +v 0.125579 0.051257 1.845965 +v 0.125786 0.052271 1.849672 +v 0.164706 0.047265 1.845757 +v 0.164437 0.043602 1.846793 +v 0.163822 0.040315 1.844953 +v 0.163220 0.039330 1.841316 +v 0.162984 0.041224 1.838011 +v 0.163253 0.044887 1.836975 +v 0.163868 0.048174 1.838814 +v 0.164470 0.049159 1.842452 +v 0.206625 0.041241 1.842226 +v 0.205975 0.037664 1.843270 +v 0.205510 0.034386 1.841440 +v 0.205502 0.033327 1.837808 +v 0.205956 0.035108 1.834502 +v 0.206606 0.038686 1.833458 +v 0.207071 0.041964 1.835288 +v 0.207079 0.043023 1.838920 +v 0.246980 0.033410 1.849444 +v 0.245946 0.029942 1.850424 +v 0.245609 0.026668 1.848627 +v 0.246166 0.025506 1.845106 +v 0.247291 0.027137 1.841922 +v 0.248325 0.030606 1.840942 +v 0.248662 0.033880 1.842739 +v 0.248105 0.035041 1.846260 +v 0.282560 0.023724 1.859804 +v 0.281516 0.020291 1.860772 +v 0.281080 0.017071 1.858969 +v 0.281507 0.015949 1.855451 +v 0.282548 0.017584 1.852280 +v 0.283592 0.021017 1.851312 +v 0.284028 0.024237 1.853115 +v 0.283601 0.025359 1.856632 +v 0.323839 0.014425 1.864403 +v 0.323200 0.010937 1.865399 +v 0.322593 0.007782 1.863596 +v 0.322373 0.006810 1.860050 +v 0.322669 0.008589 1.856838 +v 0.323308 0.012078 1.855842 +v 0.323915 0.015232 1.857645 +v 0.324135 0.016204 1.861191 +v 0.365576 0.008211 1.858828 +v 0.365334 0.004693 1.859771 +v 0.364555 0.001595 1.858004 +v 0.363697 0.000732 1.854563 +v 0.363262 0.002610 1.851463 +v 0.363505 0.006128 1.850520 +v 0.364283 0.009226 1.852287 +v 0.365141 0.010089 1.855728 +v 0.401856 0.004346 1.847758 +v 0.401753 0.000844 1.848657 +v 0.400905 -0.002217 1.846925 +v 0.399810 -0.003044 1.843579 +v 0.399108 -0.001152 1.840577 +v 0.399211 0.002351 1.839678 +v 0.400059 0.005411 1.841409 +v 0.401154 0.006238 1.844756 +v 0.442230 -0.000018 1.835705 +v 0.442033 -0.003477 1.836621 +v 0.441246 -0.006516 1.834891 +v 0.440331 -0.007354 1.831529 +v 0.439823 -0.005500 1.828504 +v 0.440020 -0.002041 1.827588 +v 0.440807 0.000998 1.829317 +v 0.441722 0.001836 1.832679 +v -0.011476 -0.001982 1.885992 +v -0.007902 -0.003212 1.887246 +v -0.004155 -0.002718 1.885992 +v -0.002430 -0.000790 1.882965 +v -0.003737 0.001442 1.879937 +v -0.007311 0.002672 1.878683 +v -0.011058 0.002178 1.879937 +v -0.012783 0.000250 1.882965 +v -0.007305 0.032107 1.909447 +v -0.003766 0.030842 1.910658 +v -0.000057 0.031275 1.909376 +v 0.001650 0.033153 1.906350 +v 0.000355 0.035375 1.903354 +v -0.003184 0.036640 1.902142 +v -0.006894 0.036206 1.903425 +v -0.008601 0.034329 1.906450 +v -0.003151 0.066042 1.932795 +v 0.000365 0.064852 1.934041 +v 0.004052 0.065359 1.932823 +v 0.005749 0.067268 1.929856 +v 0.004463 0.069460 1.926876 +v 0.000947 0.070651 1.925631 +v -0.002740 0.070143 1.926848 +v -0.004437 0.068234 1.929816 +v -0.000754 0.103663 1.959205 +v 0.002741 0.102812 1.960665 +v 0.006405 0.103620 1.959666 +v 0.008091 0.105615 1.956793 +v 0.006812 0.107626 1.953729 +v 0.003316 0.108477 1.952268 +v -0.000348 0.107669 1.953267 +v -0.002034 0.105675 1.956140 +v -0.005905 0.141979 1.983766 +v -0.002477 0.141486 1.985444 +v 0.001123 0.142606 1.984664 +v 0.002784 0.144683 1.981881 +v 0.001534 0.146500 1.978726 +v -0.001895 0.146993 1.977047 +v -0.005494 0.145873 1.977828 +v -0.007155 0.143797 1.980611 +v -0.013040 0.176508 2.006043 +v -0.009594 0.175535 2.007363 +v -0.005998 0.176357 2.006384 +v -0.004359 0.178493 2.003680 +v -0.005636 0.180691 2.000834 +v -0.009082 0.181664 1.999513 +v -0.012678 0.180842 2.000492 +v -0.014317 0.178707 2.003197 +v -0.006519 0.208393 2.035762 +v -0.003376 0.206299 2.035988 +v 0.000006 0.206358 2.034293 +v 0.001645 0.208536 2.031670 +v 0.000583 0.211557 2.029656 +v -0.002560 0.213651 2.029430 +v -0.005941 0.213591 2.031125 +v -0.007581 0.211414 2.033747 +v 0.017038 0.228146 2.067615 +v 0.019351 0.225339 2.066702 +v 0.022168 0.224910 2.064265 +v 0.023840 0.227111 2.061731 +v 0.023387 0.230652 2.060584 +v 0.021074 0.233460 2.061496 +v 0.018257 0.233888 2.063934 +v 0.016585 0.231687 2.066468 +v 0.048097 0.234889 2.094639 +v 0.049896 0.231942 2.093264 +v 0.052348 0.231404 2.090523 +v 0.054017 0.233589 2.088023 +v 0.053924 0.237218 2.087227 +v 0.052125 0.240165 2.088601 +v 0.049673 0.240704 2.091342 +v 0.048004 0.238519 2.093843 +v 0.083307 0.242261 2.123989 +v 0.085173 0.239360 2.122698 +v 0.087622 0.238830 2.119997 +v 0.089218 0.240982 2.117469 +v 0.089026 0.244555 2.116595 +v 0.087160 0.247457 2.117887 +v 0.084711 0.247986 2.120587 +v 0.083115 0.245834 2.123115 +v 0.116108 0.252700 2.152662 +v 0.118021 0.249843 2.151435 +v 0.120451 0.249319 2.148763 +v 0.121977 0.251436 2.146210 +v 0.121703 0.254953 2.145272 +v 0.119791 0.257810 2.146498 +v 0.117360 0.258334 2.149171 +v 0.115835 0.256217 2.151724 +v 0.146172 0.261451 2.177402 +v 0.148030 0.258609 2.176156 +v 0.150399 0.258079 2.173475 +v 0.151891 0.260170 2.170929 +v 0.151632 0.263659 2.170010 +v 0.149775 0.266502 2.171257 +v 0.147406 0.267032 2.173938 +v 0.145913 0.264940 2.176484 +v 0.179832 0.271285 2.205175 +v 0.181699 0.268476 2.203962 +v 0.184074 0.267959 2.201328 +v 0.185566 0.270035 2.198817 +v 0.185301 0.273490 2.197900 +v 0.183434 0.276298 2.199113 +v 0.181059 0.276816 2.201746 +v 0.179567 0.274739 2.204257 +v -0.004547 0.002648 1.983758 +v -0.007239 0.005339 1.984929 +v -0.010910 0.006343 1.983758 +v -0.013410 0.005073 1.980931 +v -0.013275 0.002271 1.978104 +v -0.010583 -0.000420 1.976933 +v -0.006912 -0.001424 1.978104 +v -0.004412 -0.000153 1.980931 +v -0.019517 -0.021112 2.007133 +v -0.022147 -0.018378 2.008230 +v -0.025749 -0.017318 2.007007 +v -0.028213 -0.018553 2.004180 +v -0.028097 -0.021360 2.001404 +v -0.025467 -0.024094 2.000307 +v -0.021865 -0.025154 2.001530 +v -0.019400 -0.023918 2.004358 +v -0.034397 -0.044721 2.030362 +v -0.037059 -0.042101 2.031539 +v -0.040684 -0.041139 2.030412 +v -0.043148 -0.042398 2.027641 +v -0.043008 -0.045141 2.024850 +v -0.040346 -0.047761 2.023674 +v -0.036722 -0.048724 2.024801 +v -0.034258 -0.047464 2.027571 +v -0.048335 -0.072530 2.056097 +v -0.051118 -0.070234 2.057532 +v -0.054825 -0.069519 2.056627 +v -0.057285 -0.070802 2.053911 +v -0.057056 -0.073332 2.050975 +v -0.054273 -0.075627 2.049539 +v -0.050566 -0.076343 2.050444 +v -0.048106 -0.075060 2.053161 +v -0.057676 -0.103134 2.078924 +v -0.060544 -0.101198 2.080610 +v -0.064304 -0.100751 2.079915 +v -0.066753 -0.102054 2.077247 +v -0.066456 -0.104346 2.074167 +v -0.063588 -0.106282 2.072482 +v -0.059828 -0.106729 2.073177 +v -0.057380 -0.105426 2.075845 +v -0.063481 -0.131744 2.098735 +v -0.066288 -0.129679 2.100292 +v -0.070026 -0.129277 2.099636 +v -0.072505 -0.130772 2.097150 +v -0.072274 -0.133290 2.094291 +v -0.069467 -0.135354 2.092734 +v -0.065730 -0.135757 2.093391 +v -0.063250 -0.134261 2.095876 +v -0.072002 -0.157669 2.126193 +v -0.074597 -0.155088 2.127149 +v -0.078247 -0.154531 2.126324 +v -0.080814 -0.156325 2.124203 +v -0.080795 -0.159420 2.122027 +v -0.078200 -0.162001 2.121071 +v -0.074550 -0.162558 2.121895 +v -0.071983 -0.160764 2.124017 +v -0.083701 -0.174365 2.159109 +v -0.086038 -0.171444 2.159376 +v -0.089587 -0.170787 2.158360 +v -0.092270 -0.172778 2.156658 +v -0.092515 -0.176251 2.155266 +v -0.090178 -0.179172 2.154999 +v -0.086629 -0.179829 2.156015 +v -0.083946 -0.177838 2.157717 +v -0.095282 -0.182570 2.191395 +v -0.097511 -0.179596 2.191409 +v -0.101020 -0.178936 2.190376 +v -0.103753 -0.180977 2.188901 +v -0.104110 -0.184524 2.187848 +v -0.101882 -0.187498 2.187834 +v -0.098373 -0.188158 2.188867 +v -0.095639 -0.186117 2.190342 +v -0.107349 -0.192435 2.227802 +v -0.109618 -0.189540 2.228000 +v -0.113134 -0.188921 2.227097 +v -0.115839 -0.190940 2.225621 +v -0.116147 -0.194414 2.224437 +v -0.113878 -0.197309 2.224239 +v -0.110361 -0.197929 2.225143 +v -0.107656 -0.195910 2.226619 +v -0.117833 -0.205101 2.263350 +v -0.120132 -0.202290 2.263717 +v -0.123652 -0.201715 2.262938 +v -0.126330 -0.203713 2.261470 +v -0.126598 -0.207115 2.260172 +v -0.124299 -0.209926 2.259805 +v -0.120780 -0.210501 2.260584 +v -0.118101 -0.208502 2.262053 +v -0.126353 -0.216662 2.295157 +v -0.128640 -0.213888 2.295553 +v -0.132138 -0.213333 2.294820 +v -0.134798 -0.215322 2.293388 +v -0.135062 -0.218690 2.292095 +v -0.132775 -0.221464 2.291699 +v -0.129277 -0.222019 2.292432 +v -0.126616 -0.220030 2.293864 +v -0.135978 -0.229668 2.330969 +v -0.138238 -0.226911 2.331339 +v -0.141697 -0.226350 2.330585 +v -0.144329 -0.228315 2.329150 +v -0.144591 -0.231654 2.327874 +v -0.142331 -0.234411 2.327505 +v -0.138873 -0.234971 2.328258 +v -0.136241 -0.233006 2.329693 +v -0.008033 0.009582 2.082112 +v -0.011852 0.009330 2.083212 +v -0.014957 0.007091 2.082112 +v -0.015528 0.004178 2.079459 +v -0.013232 0.002296 2.076805 +v -0.009413 0.002548 2.075706 +v -0.006308 0.004786 2.076805 +v -0.005737 0.007700 2.079459 +v 0.000961 -0.017843 2.110776 +v -0.002849 -0.018026 2.111798 +v -0.005938 -0.020216 2.110677 +v -0.006497 -0.023130 2.108070 +v -0.004197 -0.025060 2.105505 +v -0.000387 -0.024876 2.104483 +v 0.002702 -0.022686 2.105603 +v 0.003260 -0.019773 2.108210 +v 0.009952 -0.045258 2.139430 +v 0.006206 -0.045531 2.140537 +v 0.003157 -0.047744 2.139468 +v 0.002592 -0.050600 2.136849 +v 0.004840 -0.052425 2.134214 +v 0.008586 -0.052151 2.133106 +v 0.011635 -0.049938 2.134176 +v 0.012201 -0.047083 2.136795 +v 0.022845 -0.076531 2.169820 +v 0.019234 -0.077047 2.171148 +v 0.016235 -0.079300 2.170143 +v 0.015607 -0.081969 2.167394 +v 0.017716 -0.083491 2.164512 +v 0.021328 -0.082975 2.163184 +v 0.024327 -0.080722 2.164189 +v 0.024955 -0.078053 2.166938 +v 0.039320 -0.109167 2.194745 +v 0.035869 -0.109938 2.196267 +v 0.032925 -0.112229 2.195316 +v 0.032212 -0.114696 2.192449 +v 0.034148 -0.115895 2.189345 +v 0.037598 -0.115124 2.187823 +v 0.040542 -0.112833 2.188774 +v 0.041255 -0.110366 2.191641 +v 0.056239 -0.138352 2.214695 +v 0.052828 -0.139134 2.216217 +v 0.050004 -0.141568 2.215404 +v 0.049421 -0.144229 2.212731 +v 0.051420 -0.145557 2.209764 +v 0.054831 -0.144776 2.208242 +v 0.057656 -0.142342 2.209055 +v 0.058239 -0.139681 2.211728 +v 0.073590 -0.164987 2.243150 +v 0.070070 -0.165544 2.244419 +v 0.067391 -0.168147 2.243822 +v 0.067123 -0.171273 2.241707 +v 0.069422 -0.173089 2.239314 +v 0.072942 -0.172532 2.238045 +v 0.075620 -0.169929 2.238642 +v 0.075889 -0.166803 2.240757 +v 0.086706 -0.184570 2.279056 +v 0.083104 -0.184959 2.280024 +v 0.080545 -0.187677 2.279677 +v 0.080527 -0.191132 2.278220 +v 0.083061 -0.193300 2.276505 +v 0.086662 -0.192911 2.275537 +v 0.089222 -0.190193 2.275884 +v 0.089240 -0.186738 2.277341 +v 0.096313 -0.195905 2.315064 +v 0.092756 -0.196305 2.316067 +v 0.090326 -0.199117 2.316064 +v 0.090445 -0.202693 2.315058 +v 0.093045 -0.204939 2.313638 +v 0.096601 -0.204538 2.312636 +v 0.099031 -0.201726 2.312639 +v 0.098912 -0.198150 2.313645 +v 0.110681 -0.205107 2.355358 +v 0.107291 -0.205590 2.356716 +v 0.105031 -0.208471 2.357115 +v 0.105225 -0.212063 2.356322 +v 0.107758 -0.214261 2.354800 +v 0.111148 -0.213779 2.353441 +v 0.113408 -0.210897 2.353042 +v 0.113214 -0.207306 2.353836 +v 0.129902 -0.211529 2.393518 +v 0.126713 -0.212062 2.395212 +v 0.124666 -0.214980 2.396002 +v 0.124960 -0.218572 2.395425 +v 0.127423 -0.220735 2.393819 +v 0.130612 -0.220202 2.392124 +v 0.132659 -0.217284 2.391334 +v 0.132365 -0.213692 2.391912 +v 0.149859 -0.213649 2.426854 +v 0.146772 -0.214189 2.428661 +v 0.144847 -0.217096 2.429623 +v 0.145210 -0.220667 2.429175 +v 0.147648 -0.222810 2.427581 +v 0.150735 -0.222270 2.425774 +v 0.152661 -0.219363 2.424812 +v 0.152298 -0.215793 2.425260 +v 0.172385 -0.216223 2.464737 +v 0.169275 -0.216750 2.466438 +v 0.167294 -0.219620 2.467266 +v 0.167604 -0.223151 2.466736 +v 0.170021 -0.225275 2.465158 +v 0.173131 -0.224747 2.463457 +v 0.175112 -0.221877 2.462629 +v 0.174802 -0.218346 2.463159 +v -0.016462 0.007699 2.188919 +v -0.012887 0.006353 2.190042 +v -0.009132 0.007058 2.188919 +v -0.007397 0.009402 2.186208 +v -0.008698 0.012012 2.183496 +v -0.012273 0.013359 2.182374 +v -0.016028 0.012654 2.183496 +v -0.017763 0.010310 2.186208 +v -0.014046 0.031235 2.210817 +v -0.010504 0.029866 2.211900 +v -0.006782 0.030545 2.210767 +v -0.005062 0.032874 2.208082 +v -0.006350 0.035488 2.205417 +v -0.009892 0.036856 2.204334 +v -0.013613 0.036178 2.205467 +v -0.015334 0.033849 2.208152 +v -0.011633 0.054741 2.232687 +v -0.008117 0.053430 2.233804 +v -0.004424 0.054132 2.232707 +v -0.002718 0.056436 2.230039 +v -0.003998 0.058992 2.227364 +v -0.007515 0.060304 2.226248 +v -0.011208 0.059602 2.227345 +v -0.012914 0.057298 2.230012 +v -0.009904 0.081588 2.256826 +v -0.006409 0.080394 2.258025 +v -0.002748 0.081080 2.256930 +v -0.001065 0.083246 2.254182 +v -0.002346 0.085623 2.251391 +v -0.005840 0.086817 2.250193 +v -0.009501 0.086130 2.251288 +v -0.011184 0.083964 2.254036 +v -0.008315 0.109820 2.278064 +v -0.004845 0.108746 2.279339 +v -0.001217 0.109409 2.278239 +v 0.000445 0.111420 2.275408 +v -0.000833 0.113601 2.272506 +v -0.004303 0.114675 2.271231 +v -0.007932 0.114013 2.272331 +v -0.009594 0.112002 2.275162 +v -0.007642 0.134987 2.295978 +v -0.004202 0.133981 2.297288 +v -0.000604 0.134908 2.296416 +v 0.001043 0.137226 2.293871 +v -0.000224 0.139577 2.291145 +v -0.003664 0.140583 2.289834 +v -0.007262 0.139656 2.290707 +v -0.008909 0.137338 2.293252 +v -0.010463 0.157508 2.320353 +v -0.007050 0.156486 2.321625 +v -0.003532 0.157816 2.321211 +v -0.001971 0.160717 2.319353 +v -0.003280 0.163492 2.317139 +v -0.006693 0.164513 2.315866 +v -0.010210 0.163184 2.316280 +v -0.011772 0.160282 2.318139 +v -0.015967 0.173801 2.349589 +v -0.012577 0.172769 2.350815 +v -0.009190 0.174375 2.350912 +v -0.007790 0.177678 2.349823 +v -0.009196 0.180744 2.348186 +v -0.012586 0.181777 2.346959 +v -0.015973 0.180171 2.346862 +v -0.017374 0.176867 2.347951 +v -0.023606 0.182550 2.377958 +v -0.020287 0.181575 2.379317 +v -0.017090 0.183353 2.379972 +v -0.015887 0.186842 2.379540 +v -0.017383 0.190000 2.378273 +v -0.020702 0.190976 2.376915 +v -0.023899 0.189198 2.376259 +v -0.025102 0.185708 2.376691 +v -0.036402 0.188006 2.409435 +v -0.033238 0.187094 2.411087 +v -0.030307 0.188958 2.412313 +v -0.029326 0.192507 2.412394 +v -0.030868 0.195663 2.411283 +v -0.034031 0.196575 2.409631 +v -0.036962 0.194711 2.408406 +v -0.037944 0.191162 2.408325 +v -0.053170 0.189483 2.438566 +v -0.050200 0.188591 2.440491 +v -0.047613 0.190461 2.442262 +v -0.046925 0.193999 2.442840 +v -0.048538 0.197132 2.441888 +v -0.051508 0.198025 2.439963 +v -0.054095 0.196154 2.438193 +v -0.054784 0.192616 2.437614 +v -0.071535 0.186373 2.463132 +v -0.068671 0.185479 2.465154 +v -0.066284 0.187313 2.467158 +v -0.065770 0.190800 2.467972 +v -0.067431 0.193897 2.467118 +v -0.070295 0.194791 2.465096 +v -0.072683 0.192957 2.463092 +v -0.073196 0.189470 2.462278 +v -0.092470 0.183020 2.491438 +v -0.089577 0.182142 2.493363 +v -0.087088 0.183975 2.495177 +v -0.086462 0.187445 2.495818 +v -0.088064 0.190519 2.494910 +v -0.090957 0.191398 2.492986 +v -0.093446 0.189565 2.491172 +v -0.094073 0.186095 2.490531 +v -0.011582 0.022137 2.310584 +v -0.018322 0.021775 2.310616 +v -0.022831 0.016754 2.310584 +v -0.022470 0.010015 2.310506 +v -0.017448 0.005505 2.310428 +v -0.010709 0.005867 2.310396 +v -0.006199 0.010889 2.310428 +v -0.006561 0.017628 2.310506 +v -0.009101 0.020137 2.341173 +v -0.015763 0.019760 2.341697 +v -0.020231 0.014777 2.341749 +v -0.019889 0.008108 2.341298 +v -0.014936 0.003659 2.340610 +v -0.008274 0.004036 2.340086 +v -0.003806 0.009019 2.340034 +v -0.004148 0.015688 2.340485 +v -0.006637 0.018152 2.371266 +v -0.013262 0.017796 2.371087 +v -0.017696 0.012858 2.371020 +v -0.017342 0.006231 2.371103 +v -0.012407 0.001797 2.371288 +v -0.005782 0.002153 2.371467 +v -0.001348 0.007091 2.371534 +v -0.001702 0.013718 2.371451 +v -0.011058 0.020828 2.403264 +v -0.017279 0.020288 2.401186 +v -0.021586 0.015343 2.400630 +v -0.021457 0.008892 2.401922 +v -0.016967 0.004713 2.404305 +v -0.010746 0.005254 2.406383 +v -0.006439 0.010198 2.406939 +v -0.006568 0.016649 2.405647 +v -0.026855 0.029133 2.429280 +v -0.032108 0.028093 2.425553 +v -0.036133 0.023057 2.424555 +v -0.036573 0.016973 2.426871 +v -0.033169 0.013406 2.431144 +v -0.027916 0.014446 2.434872 +v -0.023891 0.019483 2.435870 +v -0.023452 0.025566 2.433554 +v -0.046704 0.040226 2.448176 +v -0.052031 0.039271 2.444633 +v -0.056317 0.034465 2.444023 +v -0.057052 0.028624 2.446702 +v -0.053804 0.025169 2.451101 +v -0.048478 0.026124 2.454644 +v -0.044192 0.030929 2.455255 +v -0.043457 0.036771 2.452575 +v -0.060292 0.053374 2.473160 +v -0.066541 0.053385 2.471725 +v -0.071325 0.049151 2.472268 +v -0.071842 0.043151 2.474470 +v -0.067788 0.038901 2.477042 +v -0.061539 0.038889 2.478477 +v -0.056755 0.043123 2.477934 +v -0.056238 0.049123 2.475732 +v -0.059375 0.061767 2.504563 +v -0.065623 0.062514 2.505455 +v -0.070394 0.058713 2.507238 +v -0.070893 0.052590 2.508868 +v -0.066828 0.047733 2.509391 +v -0.060580 0.046986 2.508499 +v -0.055809 0.050787 2.506716 +v -0.055309 0.056909 2.505086 +v -0.050475 0.067879 2.531894 +v -0.056557 0.068791 2.533257 +v -0.061021 0.065436 2.536172 +v -0.061251 0.059778 2.538932 +v -0.057113 0.055132 2.539921 +v -0.051030 0.054220 2.538559 +v -0.046567 0.057576 2.535644 +v -0.046336 0.063234 2.532883 +v -0.044606 0.084588 2.554020 +v -0.050820 0.084831 2.554573 +v -0.055003 0.082363 2.558496 +v -0.054704 0.078629 2.563490 +v -0.050099 0.075817 2.566631 +v -0.043885 0.075574 2.566078 +v -0.039703 0.078043 2.562156 +v -0.040001 0.081777 2.557161 +v -0.045979 0.110589 2.563894 +v -0.052128 0.109922 2.564060 +v -0.056287 0.108786 2.568498 +v -0.056019 0.107848 2.574608 +v -0.051482 0.107656 2.578810 +v -0.045334 0.108324 2.578643 +v -0.041175 0.109459 2.574205 +v -0.041442 0.110397 2.568096 +v -0.050547 0.139142 2.562301 +v -0.056604 0.138205 2.562451 +v -0.060812 0.137751 2.566886 +v -0.060707 0.138047 2.573009 +v -0.056349 0.138918 2.577232 +v -0.050292 0.139855 2.577082 +v -0.046084 0.140309 2.572647 +v -0.046190 0.140014 2.566525 +v -0.055841 0.173436 2.561114 +v -0.061867 0.172689 2.561266 +v -0.065976 0.171800 2.565651 +v -0.065760 0.171290 2.571701 +v -0.061346 0.171459 2.575870 +v -0.055319 0.172207 2.575718 +v -0.051211 0.173096 2.571333 +v -0.051427 0.173605 2.565284 +v -0.093337 0.069831 0.843943 +v -0.090173 0.071553 0.845391 +v -0.086745 0.072661 0.843943 +v -0.085061 0.072505 0.840448 +v -0.086108 0.071177 0.836953 +v -0.089272 0.069455 0.835506 +v -0.092700 0.068348 0.836953 +v -0.094384 0.068504 0.840448 +v -0.110540 0.104761 0.833609 +v -0.107496 0.106670 0.834990 +v -0.104152 0.107887 0.833522 +v -0.102467 0.107699 0.830066 +v -0.103428 0.106216 0.826646 +v -0.106473 0.104306 0.825266 +v -0.109817 0.103089 0.826734 +v -0.111501 0.103278 0.830190 +v -0.127809 0.139835 0.823236 +v -0.124664 0.141444 0.824680 +v -0.121274 0.142484 0.823269 +v -0.119625 0.142345 0.819830 +v -0.120683 0.141109 0.816378 +v -0.123828 0.139500 0.814935 +v -0.127218 0.138461 0.816346 +v -0.128867 0.138600 0.819784 +v -0.141261 0.181798 0.815742 +v -0.137901 0.182565 0.817301 +v -0.134402 0.183122 0.815976 +v -0.132813 0.183141 0.812543 +v -0.134065 0.182611 0.809012 +v -0.137426 0.181844 0.807453 +v -0.140925 0.181288 0.808778 +v -0.142514 0.181269 0.812211 +v -0.144112 0.225021 0.816029 +v -0.140702 0.224901 0.817584 +v -0.137188 0.224949 0.816276 +v -0.135628 0.225137 0.812871 +v -0.136936 0.225354 0.809364 +v -0.140346 0.225474 0.807808 +v -0.143860 0.225426 0.809116 +v -0.145420 0.225239 0.812521 +v -0.140807 0.264192 0.820336 +v -0.137427 0.264133 0.821881 +v -0.133944 0.264175 0.820584 +v -0.132399 0.264295 0.817206 +v -0.133696 0.264421 0.813726 +v -0.137076 0.264480 0.812181 +v -0.140559 0.264437 0.813478 +v -0.142104 0.264318 0.816856 +v -0.144215 0.306642 0.818668 +v -0.140966 0.307557 0.820143 +v -0.137564 0.308077 0.818831 +v -0.136001 0.307899 0.815500 +v -0.137194 0.307126 0.812101 +v -0.140443 0.306212 0.810626 +v -0.143845 0.305691 0.811938 +v -0.145407 0.305869 0.815269 +v -0.157982 0.345493 0.807839 +v -0.155054 0.347290 0.809074 +v -0.151825 0.348242 0.807662 +v -0.150187 0.347792 0.804431 +v -0.151099 0.346203 0.801274 +v -0.154027 0.344407 0.800039 +v -0.157256 0.343454 0.801451 +v -0.158894 0.343905 0.804682 +v -0.175837 0.376692 0.792922 +v -0.173089 0.378773 0.794019 +v -0.169963 0.379860 0.792560 +v -0.168290 0.379317 0.789399 +v -0.169050 0.377461 0.786389 +v -0.171798 0.375381 0.785292 +v -0.174924 0.374293 0.786751 +v -0.176597 0.374837 0.789912 +v -0.195684 0.411958 0.776374 +v -0.192853 0.413815 0.777550 +v -0.189704 0.414794 0.776147 +v -0.188082 0.414322 0.772986 +v -0.188936 0.412676 0.769920 +v -0.191767 0.410819 0.768744 +v -0.194916 0.409840 0.770147 +v -0.196539 0.410312 0.773308 +v -0.258002 -0.181839 0.945840 +v -0.257270 -0.179108 0.946935 +v -0.257301 -0.176280 0.945840 +v -0.258078 -0.175012 0.943197 +v -0.259146 -0.176047 0.940555 +v -0.259879 -0.178778 0.939460 +v -0.259848 -0.181606 0.940555 +v -0.259070 -0.182873 0.943197 +v -0.283708 -0.178569 0.954932 +v -0.282982 -0.175862 0.956016 +v -0.283013 -0.173060 0.954932 +v -0.283783 -0.171804 0.952313 +v -0.284841 -0.172829 0.949694 +v -0.285568 -0.175536 0.948609 +v -0.285537 -0.178338 0.949694 +v -0.284766 -0.179594 0.952313 +v -0.309414 -0.175299 0.964023 +v -0.308694 -0.172617 0.965098 +v -0.308725 -0.169840 0.964023 +v -0.309488 -0.168595 0.961428 +v -0.310537 -0.169612 0.958833 +v -0.311257 -0.172293 0.957759 +v -0.311226 -0.175070 0.958833 +v -0.310463 -0.176315 0.961428 +v -0.338170 -0.171644 0.974197 +v -0.337457 -0.168987 0.975262 +v -0.337487 -0.166235 0.974197 +v -0.338243 -0.165002 0.971625 +v -0.339282 -0.166009 0.969054 +v -0.339995 -0.168666 0.967989 +v -0.339965 -0.171417 0.969054 +v -0.339209 -0.172651 0.971625 +v 0.178552 0.126061 0.912258 +v 0.180677 0.123848 0.913183 +v 0.183631 0.123015 0.912258 +v 0.185682 0.124051 0.910023 +v 0.185630 0.126349 0.907789 +v 0.183504 0.128562 0.906863 +v 0.180551 0.129395 0.907789 +v 0.178499 0.128359 0.910023 +v 0.187989 0.145929 0.930434 +v 0.190185 0.143901 0.931512 +v 0.193183 0.143206 0.930720 +v 0.195226 0.144251 0.928523 +v 0.195118 0.146424 0.926207 +v 0.192922 0.148451 0.925129 +v 0.189925 0.149146 0.925921 +v 0.187882 0.148101 0.928118 +v 0.197566 0.166047 0.948856 +v 0.199613 0.163807 0.949697 +v 0.202483 0.162938 0.948735 +v 0.204494 0.163948 0.946532 +v 0.204468 0.166247 0.944380 +v 0.202421 0.168487 0.943538 +v 0.199551 0.169356 0.944501 +v 0.197540 0.168346 0.946704 +v 0.213137 0.183421 0.970444 +v 0.214759 0.180769 0.970724 +v 0.217283 0.179568 0.969335 +v 0.219231 0.180522 0.967092 +v 0.219462 0.183072 0.965307 +v 0.217841 0.185724 0.965027 +v 0.215317 0.186925 0.966415 +v 0.213369 0.185971 0.968659 +v 0.233558 0.192704 0.991379 +v 0.234629 0.189816 0.991097 +v 0.236709 0.188422 0.989282 +v 0.238582 0.189339 0.986997 +v 0.239148 0.192030 0.985581 +v 0.238078 0.194918 0.985863 +v 0.235997 0.196311 0.987678 +v 0.234125 0.195394 0.989963 +v 0.254680 0.195376 1.009243 +v 0.255491 0.192464 1.008741 +v 0.257357 0.191043 1.006768 +v 0.259185 0.191946 1.004480 +v 0.259904 0.194644 1.003217 +v 0.259093 0.197557 1.003719 +v 0.257227 0.198978 1.005692 +v 0.255399 0.198075 1.007980 +v 0.277983 0.198567 1.029089 +v 0.278960 0.195712 1.028744 +v 0.280944 0.194329 1.026908 +v 0.282774 0.195228 1.024657 +v 0.283378 0.197881 1.023310 +v 0.282401 0.200736 1.023655 +v 0.280416 0.202119 1.025491 +v 0.278586 0.201221 1.027741 +v -0.097945 0.057410 0.932701 +v -0.098163 0.060452 0.933960 +v -0.098200 0.063501 0.932701 +v -0.098034 0.064771 0.929661 +v -0.097762 0.063519 0.926621 +v -0.097544 0.060478 0.925362 +v -0.097507 0.057429 0.926621 +v -0.097673 0.056158 0.929661 +v -0.126172 0.054760 0.929949 +v -0.126575 0.057763 0.931182 +v -0.126739 0.060777 0.929923 +v -0.126568 0.062037 0.926910 +v -0.126161 0.060805 0.923907 +v -0.125758 0.057802 0.922674 +v -0.125594 0.054788 0.923934 +v -0.125766 0.053528 0.926947 +v -0.154605 0.052097 0.927181 +v -0.154743 0.055089 0.928424 +v -0.154728 0.058088 0.927190 +v -0.154567 0.059336 0.924201 +v -0.154355 0.058104 0.921210 +v -0.154217 0.055112 0.919967 +v -0.154232 0.052114 0.921201 +v -0.154393 0.050865 0.924189 +v -0.186353 0.053820 0.926257 +v -0.185829 0.056738 0.927500 +v -0.185375 0.059678 0.926284 +v -0.185256 0.060919 0.923321 +v -0.185543 0.059733 0.920347 +v -0.186066 0.056816 0.919104 +v -0.186521 0.053875 0.920320 +v -0.186639 0.052634 0.923283 +v -0.215739 0.062220 0.928888 +v -0.214572 0.064940 0.930069 +v -0.213694 0.067740 0.928829 +v -0.213618 0.068981 0.925896 +v -0.214390 0.067936 0.922987 +v -0.215556 0.065216 0.921806 +v -0.216434 0.062415 0.923045 +v -0.216510 0.061174 0.925979 +v -0.240554 0.073768 0.933208 +v -0.239302 0.076426 0.934366 +v -0.238334 0.079164 0.933125 +v -0.238216 0.080377 0.930211 +v -0.239018 0.079356 0.927333 +v -0.240270 0.076697 0.926175 +v -0.241239 0.073960 0.927417 +v -0.241356 0.072747 0.930330 +v -0.269163 0.084234 0.935769 +v -0.268345 0.087015 0.936949 +v -0.267594 0.089800 0.935736 +v -0.267351 0.090959 0.932838 +v -0.267758 0.089812 0.929955 +v -0.268576 0.087032 0.928774 +v -0.269327 0.084246 0.929988 +v -0.269570 0.083088 0.932885 +v -0.298996 0.090313 0.934851 +v -0.298611 0.093163 0.936013 +v -0.298076 0.095969 0.934806 +v -0.297704 0.097089 0.931938 +v -0.297715 0.095865 0.929088 +v -0.298100 0.093016 0.927926 +v -0.298635 0.090209 0.929133 +v -0.299006 0.089090 0.932001 +v -0.325959 0.093624 0.932073 +v -0.325723 0.096469 0.933213 +v -0.325257 0.099259 0.932012 +v -0.324836 0.100361 0.929173 +v -0.324705 0.099128 0.926361 +v -0.324941 0.096283 0.925222 +v -0.325407 0.093493 0.926423 +v -0.325828 0.092391 0.929261 +v -0.356252 0.097437 0.929042 +v -0.355916 0.100241 0.930179 +v -0.355410 0.103000 0.928993 +v -0.355030 0.104096 0.926178 +v -0.354999 0.102889 0.923383 +v -0.355335 0.100084 0.922245 +v -0.355841 0.097326 0.923431 +v -0.356221 0.096229 0.926246 +v 0.063383 0.005931 1.025516 +v 0.065625 0.003128 1.026995 +v 0.067646 0.000161 1.025516 +v 0.068263 -0.001231 1.021944 +v 0.067113 -0.000233 1.018373 +v 0.064871 0.002571 1.016893 +v 0.062850 0.005537 1.018373 +v 0.062234 0.006929 1.021944 +v 0.093795 0.030570 1.021160 +v 0.096165 0.027904 1.022608 +v 0.098274 0.025044 1.021127 +v 0.098888 0.023667 1.017586 +v 0.097647 0.024578 1.014058 +v 0.095278 0.027244 1.012609 +v 0.093168 0.030103 1.014090 +v 0.092554 0.031481 1.017631 +v 0.124393 0.055351 1.016780 +v 0.126536 0.052552 1.018241 +v 0.128479 0.049604 1.016791 +v 0.129084 0.048235 1.013281 +v 0.127995 0.049246 1.009766 +v 0.125852 0.052045 1.008305 +v 0.123909 0.054993 1.009754 +v 0.123304 0.056362 1.013265 +v 0.161799 0.078482 1.014088 +v 0.163272 0.075327 1.015567 +v 0.164767 0.072153 1.014151 +v 0.165407 0.070820 1.010669 +v 0.164818 0.072108 1.007161 +v 0.163345 0.075263 1.005682 +v 0.161850 0.078437 1.007099 +v 0.161210 0.079770 1.010581 +v 0.202520 0.092047 1.016985 +v 0.203258 0.088659 1.018412 +v 0.204265 0.085342 1.016983 +v 0.204950 0.084038 1.013534 +v 0.204913 0.085513 1.010086 +v 0.204176 0.088901 1.008659 +v 0.203169 0.092219 1.010088 +v 0.202484 0.093522 1.013537 +v 0.240595 0.099207 1.021826 +v 0.241520 0.095902 1.023253 +v 0.242528 0.092617 1.021837 +v 0.243029 0.091276 1.018407 +v 0.242730 0.092664 1.014972 +v 0.241806 0.095969 1.013545 +v 0.240797 0.099254 1.014961 +v 0.240296 0.100596 1.018391 +v 0.279060 0.114698 1.019089 +v 0.281026 0.111876 1.020408 +v 0.282492 0.108822 1.018962 +v 0.282600 0.107325 1.015598 +v 0.281286 0.108262 1.012287 +v 0.279320 0.111084 1.010968 +v 0.277854 0.114138 1.012414 +v 0.277746 0.115635 1.015778 +v 0.309576 0.139793 1.005878 +v 0.312376 0.137659 1.006845 +v 0.314205 0.134926 1.005262 +v 0.313992 0.133193 1.002056 +v 0.311862 0.133477 0.999105 +v 0.309062 0.135610 0.998138 +v 0.307233 0.138343 0.999721 +v 0.307446 0.140076 1.002927 +v 0.330158 0.166780 0.987639 +v 0.333190 0.164964 0.988406 +v 0.335111 0.162380 0.986758 +v 0.334795 0.160542 0.983659 +v 0.332427 0.160526 0.980924 +v 0.329395 0.162343 0.980156 +v 0.327474 0.164926 0.981805 +v 0.327790 0.166765 0.984904 +v 0.353579 0.196905 0.967434 +v 0.356412 0.194900 0.968328 +v 0.358243 0.192254 0.966750 +v 0.358000 0.190516 0.963625 +v 0.355825 0.190705 0.960783 +v 0.352992 0.192709 0.959889 +v 0.351160 0.195356 0.961467 +v 0.351404 0.197093 0.964592 +v 0.139453 0.193085 1.104063 +v 0.142035 0.192333 1.105177 +v 0.144606 0.191545 1.104063 +v 0.145661 0.191184 1.101374 +v 0.144580 0.191460 1.098685 +v 0.141998 0.192212 1.097571 +v 0.139427 0.193000 1.098685 +v 0.138373 0.193361 1.101374 +v 0.146164 0.218763 1.100676 +v 0.148781 0.218225 1.101765 +v 0.151323 0.217419 1.100663 +v 0.152300 0.216817 1.098016 +v 0.151141 0.216772 1.095374 +v 0.148523 0.217310 1.094285 +v 0.145982 0.218116 1.095388 +v 0.145004 0.218718 1.098035 +v 0.152743 0.243976 1.097317 +v 0.155251 0.243144 1.098411 +v 0.157781 0.242381 1.097316 +v 0.158851 0.242135 1.094676 +v 0.157833 0.242550 1.092035 +v 0.155325 0.243382 1.090942 +v 0.152796 0.244144 1.092036 +v 0.151726 0.244390 1.094677 +v 0.162176 0.269063 1.102515 +v 0.164405 0.267575 1.103437 +v 0.166943 0.266901 1.102372 +v 0.168305 0.267436 1.099945 +v 0.167692 0.268866 1.097576 +v 0.165463 0.270355 1.096654 +v 0.162924 0.271028 1.097719 +v 0.161562 0.270493 1.100146 +v 0.173014 0.287376 1.117978 +v 0.174923 0.285376 1.118476 +v 0.177476 0.284773 1.117472 +v 0.179178 0.285920 1.115555 +v 0.179032 0.288145 1.113847 +v 0.177124 0.290145 1.113349 +v 0.174571 0.290748 1.114353 +v 0.172869 0.289601 1.116270 +v 0.183243 0.298186 1.138400 +v 0.185009 0.296052 1.138663 +v 0.187554 0.295473 1.137697 +v 0.189387 0.296789 1.136067 +v 0.189434 0.299229 1.134729 +v 0.187667 0.301363 1.134466 +v 0.185122 0.301942 1.135432 +v 0.183289 0.300626 1.137061 +v 0.194917 0.310837 1.161440 +v 0.196750 0.308820 1.161859 +v 0.199262 0.308234 1.160882 +v 0.200980 0.309423 1.159083 +v 0.200899 0.311690 1.157514 +v 0.199065 0.313707 1.157096 +v 0.196554 0.314293 1.158073 +v 0.194835 0.313104 1.159872 +v -0.268569 -0.135519 1.242331 +v -0.269705 -0.133007 1.243370 +v -0.271576 -0.130980 1.242331 +v -0.273084 -0.130626 1.239824 +v -0.273347 -0.132153 1.237317 +v -0.272210 -0.134666 1.236279 +v -0.270340 -0.136693 1.237317 +v -0.268831 -0.137046 1.239824 +v -0.289079 -0.149077 1.252721 +v -0.290206 -0.146586 1.253750 +v -0.292059 -0.144578 1.252721 +v -0.293554 -0.144227 1.250237 +v -0.293814 -0.145740 1.247752 +v -0.292688 -0.148230 1.246723 +v -0.290834 -0.150239 1.247752 +v -0.289339 -0.150590 1.250237 +v -0.309589 -0.162634 1.263111 +v -0.310706 -0.160166 1.264131 +v -0.312542 -0.158175 1.263111 +v -0.314024 -0.157828 1.260649 +v -0.314282 -0.159328 1.258188 +v -0.313165 -0.161795 1.257168 +v -0.311329 -0.163786 1.258188 +v -0.309847 -0.164133 1.260649 +v -0.332531 -0.177801 1.274737 +v -0.333637 -0.175356 1.275748 +v -0.335457 -0.173384 1.274737 +v -0.336925 -0.173040 1.272298 +v -0.337180 -0.174526 1.269859 +v -0.336074 -0.176971 1.268848 +v -0.334254 -0.178943 1.269859 +v -0.332787 -0.179287 1.272298 +v 0.087748 -0.048663 1.237068 +v 0.088369 -0.051361 1.238209 +v 0.088771 -0.054100 1.237068 +v 0.088718 -0.055276 1.234315 +v 0.088241 -0.054200 1.231562 +v 0.087619 -0.051502 1.230422 +v 0.087217 -0.048763 1.231562 +v 0.087271 -0.047587 1.234315 +v 0.112777 -0.042326 1.233151 +v 0.113616 -0.044952 1.234254 +v 0.114122 -0.047644 1.233109 +v 0.113999 -0.048825 1.230389 +v 0.113319 -0.047804 1.227686 +v 0.112480 -0.045178 1.226583 +v 0.111974 -0.042486 1.227728 +v 0.112097 -0.041305 1.230448 +v 0.137871 -0.035976 1.229227 +v 0.138387 -0.038644 1.230356 +v 0.138737 -0.041344 1.229239 +v 0.138714 -0.042495 1.226531 +v 0.138333 -0.041422 1.223817 +v 0.137816 -0.038754 1.222688 +v 0.137467 -0.036053 1.223805 +v 0.137490 -0.034903 1.226513 +v 0.166305 -0.033961 1.229174 +v 0.165977 -0.036645 1.230271 +v 0.165934 -0.039339 1.229154 +v 0.166202 -0.040466 1.226477 +v 0.166624 -0.039366 1.223808 +v 0.166952 -0.036683 1.222711 +v 0.166995 -0.033989 1.223828 +v 0.166727 -0.032861 1.226505 +v 0.192340 -0.039668 1.236099 +v 0.191203 -0.042172 1.236992 +v 0.190788 -0.044771 1.235796 +v 0.191337 -0.045943 1.233210 +v 0.192530 -0.045001 1.230750 +v 0.193667 -0.042497 1.229856 +v 0.194082 -0.039897 1.231053 +v 0.193533 -0.038726 1.233639 +v 0.213959 -0.049330 1.246111 +v 0.212775 -0.051793 1.246976 +v 0.212290 -0.054345 1.245764 +v 0.212787 -0.055490 1.243184 +v 0.213976 -0.054558 1.240748 +v 0.215159 -0.052095 1.239883 +v 0.215644 -0.049544 1.241095 +v 0.215147 -0.048399 1.243675 +v 0.239964 -0.056554 1.252571 +v 0.239456 -0.059161 1.253576 +v 0.239179 -0.061741 1.252420 +v 0.239296 -0.062782 1.249779 +v 0.239738 -0.061674 1.247201 +v 0.240246 -0.059066 1.246196 +v 0.240523 -0.056487 1.247352 +v 0.240406 -0.055446 1.249993 +v 0.267556 -0.057662 1.251714 +v 0.267740 -0.060289 1.252707 +v 0.267674 -0.062859 1.251560 +v 0.267398 -0.063866 1.248945 +v 0.267073 -0.062719 1.246395 +v 0.266889 -0.060091 1.245403 +v 0.266955 -0.057522 1.246550 +v 0.267231 -0.056515 1.249164 +v 0.292053 -0.055408 1.246712 +v 0.292476 -0.057998 1.247657 +v 0.292476 -0.060540 1.246510 +v 0.292054 -0.061546 1.243943 +v 0.291456 -0.060426 1.241460 +v 0.291033 -0.057836 1.240514 +v 0.291033 -0.055293 1.241661 +v 0.291455 -0.054288 1.244228 +v 0.319469 -0.053023 1.241300 +v 0.319723 -0.055600 1.242265 +v 0.319678 -0.058122 1.241136 +v 0.319362 -0.059112 1.238575 +v 0.318959 -0.057989 1.236082 +v 0.318706 -0.055412 1.235117 +v 0.318750 -0.052890 1.236246 +v 0.319067 -0.051900 1.238807 +v 0.099779 0.160076 1.339749 +v 0.099059 0.156906 1.340692 +v 0.100113 0.153830 1.339749 +v 0.102323 0.152651 1.337473 +v 0.104394 0.154059 1.335196 +v 0.105114 0.157229 1.334253 +v 0.104061 0.160305 1.335196 +v 0.101850 0.161484 1.337473 +v 0.122417 0.161123 1.359526 +v 0.121728 0.157982 1.360483 +v 0.122727 0.154931 1.359507 +v 0.124828 0.153758 1.357169 +v 0.126801 0.155150 1.354839 +v 0.127490 0.158291 1.353882 +v 0.126491 0.161342 1.354858 +v 0.124390 0.162515 1.357196 +v 0.144827 0.162159 1.379094 +v 0.144110 0.159044 1.380011 +v 0.145163 0.156023 1.379102 +v 0.147369 0.154867 1.376898 +v 0.149436 0.156252 1.374691 +v 0.150152 0.159367 1.373774 +v 0.149100 0.162388 1.374683 +v 0.146894 0.163544 1.376887 +v 0.167198 0.163594 1.403168 +v 0.166415 0.160502 1.403997 +v 0.167592 0.157517 1.403242 +v 0.170040 0.156389 1.401345 +v 0.172324 0.157777 1.399418 +v 0.173108 0.160869 1.398589 +v 0.171931 0.163854 1.399344 +v 0.169483 0.164982 1.401240 +v 0.185288 0.165326 1.429158 +v 0.184449 0.162255 1.429891 +v 0.185730 0.159309 1.429306 +v 0.188382 0.158212 1.427745 +v 0.190850 0.159607 1.426124 +v 0.191689 0.162677 1.425391 +v 0.190407 0.165624 1.425977 +v 0.187756 0.166721 1.427537 +v 0.198964 0.167106 1.454206 +v 0.198110 0.164061 1.454893 +v 0.199421 0.161146 1.454384 +v 0.202130 0.160069 1.452978 +v 0.204649 0.161460 1.451498 +v 0.205504 0.164506 1.450811 +v 0.204192 0.167420 1.451320 +v 0.201483 0.168497 1.452726 +v 0.214599 0.169118 1.482546 +v 0.213768 0.166103 1.483254 +v 0.215039 0.163211 1.482700 +v 0.217667 0.162137 1.481208 +v 0.220112 0.163510 1.479653 +v 0.220943 0.166525 1.478945 +v 0.219672 0.169417 1.479499 +v 0.217044 0.170491 1.480991 +v -0.154626 0.085300 1.412479 +v -0.151092 0.084824 1.413744 +v -0.147650 0.085754 1.412479 +v -0.146316 0.087544 1.409425 +v -0.147871 0.089145 1.406370 +v -0.151404 0.089621 1.405105 +v -0.154846 0.088692 1.406370 +v -0.156181 0.086902 1.409425 +v -0.158585 0.120819 1.427568 +v -0.155107 0.120620 1.428956 +v -0.151695 0.121538 1.427700 +v -0.150348 0.123036 1.424537 +v -0.151854 0.124235 1.421320 +v -0.155333 0.124434 1.419932 +v -0.158745 0.123516 1.421188 +v -0.160092 0.122019 1.424351 +v -0.162505 0.155857 1.442413 +v -0.159027 0.155272 1.443587 +v -0.155646 0.156186 1.442345 +v -0.154341 0.158065 1.439415 +v -0.155878 0.159807 1.436514 +v -0.159356 0.160392 1.435341 +v -0.162737 0.159478 1.436583 +v -0.164042 0.157599 1.439512 +v -0.161162 0.186084 1.468368 +v -0.157763 0.184746 1.468838 +v -0.154411 0.185661 1.467616 +v -0.153070 0.188294 1.465416 +v -0.154525 0.191102 1.463528 +v -0.157924 0.192441 1.463058 +v -0.161276 0.191525 1.464281 +v -0.162617 0.188893 1.466481 +v -0.152994 0.201671 1.502522 +v -0.149834 0.199899 1.502078 +v -0.146510 0.200811 1.500877 +v -0.144969 0.203873 1.499623 +v -0.146114 0.207292 1.499050 +v -0.149274 0.209064 1.499495 +v -0.152598 0.208152 1.500696 +v -0.154139 0.205089 1.501950 +v -0.141249 0.204572 1.537272 +v -0.138243 0.202745 1.536429 +v -0.134947 0.203650 1.535244 +v -0.133293 0.206756 1.534410 +v -0.134248 0.210245 1.534416 +v -0.137254 0.212072 1.535258 +v -0.140550 0.211167 1.536444 +v -0.142204 0.208061 1.537278 +v -0.128087 0.208415 1.576664 +v -0.125022 0.206645 1.576099 +v -0.121758 0.207540 1.574922 +v -0.120206 0.210578 1.573821 +v -0.121276 0.213977 1.573442 +v -0.124341 0.215747 1.574007 +v -0.127605 0.214852 1.575184 +v -0.129157 0.211814 1.576285 +v -0.060507 -0.051106 1.453183 +v -0.063342 -0.050912 1.454359 +v -0.066180 -0.050809 1.453183 +v -0.067361 -0.050858 1.450345 +v -0.066192 -0.051029 1.447507 +v -0.063358 -0.051223 1.446331 +v -0.060519 -0.051326 1.447507 +v -0.059338 -0.051277 1.450345 +v -0.061511 -0.077584 1.453514 +v -0.064324 -0.077464 1.454682 +v -0.067139 -0.077376 1.453517 +v -0.068307 -0.077370 1.450701 +v -0.067144 -0.077451 1.447885 +v -0.064331 -0.077571 1.446718 +v -0.061516 -0.077659 1.447883 +v -0.060348 -0.077665 1.450698 +v -0.062511 -0.103994 1.453844 +v -0.065295 -0.103775 1.454998 +v -0.068085 -0.103669 1.453842 +v -0.069246 -0.103738 1.451054 +v -0.068099 -0.103941 1.448265 +v -0.065315 -0.104160 1.447111 +v -0.062525 -0.104266 1.448267 +v -0.061363 -0.104197 1.451056 +v -0.064859 -0.133141 1.456288 +v -0.067595 -0.132640 1.457401 +v -0.070358 -0.132511 1.456253 +v -0.071532 -0.132831 1.453516 +v -0.070427 -0.133410 1.450792 +v -0.067692 -0.133911 1.449678 +v -0.064928 -0.134039 1.450826 +v -0.063755 -0.133720 1.453564 +v -0.069051 -0.160486 1.463106 +v -0.071721 -0.159707 1.464146 +v -0.074457 -0.159560 1.463003 +v -0.075657 -0.160129 1.460347 +v -0.074617 -0.161082 1.457734 +v -0.071947 -0.161861 1.456695 +v -0.069211 -0.162008 1.457838 +v -0.068011 -0.161439 1.460493 +v -0.073955 -0.184623 1.471276 +v -0.076611 -0.183907 1.472321 +v -0.079311 -0.183689 1.471169 +v -0.080472 -0.184095 1.468496 +v -0.079415 -0.184889 1.465866 +v -0.076758 -0.185605 1.464822 +v -0.074059 -0.185823 1.465973 +v -0.072898 -0.185417 1.468647 +v -0.078398 -0.212795 1.474772 +v -0.081090 -0.212479 1.475849 +v -0.083747 -0.212134 1.474694 +v -0.084811 -0.211963 1.471984 +v -0.083659 -0.212064 1.469306 +v -0.080967 -0.212380 1.468229 +v -0.078311 -0.212725 1.469384 +v -0.077247 -0.212897 1.472094 +v -0.080969 -0.241112 1.470376 +v -0.083674 -0.241187 1.471391 +v -0.086294 -0.240716 1.470264 +v -0.087293 -0.239976 1.467655 +v -0.086087 -0.239400 1.465092 +v -0.083382 -0.239325 1.464077 +v -0.080762 -0.239796 1.465204 +v -0.079762 -0.240536 1.467813 +v -0.082134 -0.265394 1.461503 +v -0.084823 -0.265612 1.462465 +v -0.087416 -0.265092 1.461365 +v -0.088393 -0.264138 1.458847 +v -0.087183 -0.263309 1.456387 +v -0.084494 -0.263091 1.455426 +v -0.081901 -0.263611 1.456526 +v -0.080924 -0.264565 1.459043 +v -0.083469 -0.292353 1.451869 +v -0.086127 -0.292470 1.452853 +v -0.088698 -0.291992 1.451751 +v -0.089675 -0.291198 1.449208 +v -0.088486 -0.290555 1.446713 +v -0.085827 -0.290438 1.445728 +v -0.083256 -0.290916 1.446830 +v -0.082279 -0.291709 1.449374 +v 0.178907 0.026363 1.567333 +v 0.180171 0.022940 1.568333 +v 0.183109 0.020776 1.567333 +v 0.185999 0.021138 1.564918 +v 0.187148 0.023814 1.562504 +v 0.185884 0.027237 1.561504 +v 0.182946 0.029401 1.562504 +v 0.180057 0.029039 1.564918 +v 0.201257 0.046428 1.594587 +v 0.202689 0.043183 1.595805 +v 0.205671 0.041096 1.594902 +v 0.208455 0.041389 1.592408 +v 0.209412 0.043891 1.589783 +v 0.207980 0.047136 1.588566 +v 0.204999 0.049223 1.589469 +v 0.202214 0.048930 1.591963 +v 0.223591 0.066481 1.621821 +v 0.224756 0.063063 1.622701 +v 0.227612 0.060916 1.621679 +v 0.230485 0.061296 1.619352 +v 0.231693 0.063981 1.617084 +v 0.230527 0.067399 1.616203 +v 0.227672 0.069546 1.617226 +v 0.224798 0.069166 1.619552 +v 0.247277 0.077677 1.656660 +v 0.247852 0.074038 1.656666 +v 0.250456 0.071811 1.655312 +v 0.253561 0.072300 1.653393 +v 0.255350 0.075218 1.652032 +v 0.254775 0.078857 1.652027 +v 0.252171 0.081084 1.653381 +v 0.249066 0.080595 1.655300 +v 0.267022 0.073683 1.693567 +v 0.267080 0.070157 1.692625 +v 0.269458 0.067981 1.690912 +v 0.272765 0.068430 1.689433 +v 0.275063 0.071241 1.689053 +v 0.275005 0.074767 1.689996 +v 0.272627 0.076943 1.691708 +v 0.269320 0.076494 1.693188 +v 0.281454 0.059801 1.726996 +v 0.281332 0.056437 1.725673 +v 0.283620 0.054332 1.723824 +v 0.286976 0.054719 1.722531 +v 0.289434 0.057372 1.722552 +v 0.289556 0.060736 1.723875 +v 0.287268 0.062841 1.725724 +v 0.283912 0.062454 1.727017 +v 0.297816 0.044656 1.764559 +v 0.297815 0.041228 1.763513 +v 0.300127 0.039105 1.761784 +v 0.303400 0.039531 1.760385 +v 0.305714 0.042256 1.760136 +v 0.305716 0.045683 1.761183 +v 0.303403 0.047806 1.762912 +v 0.300131 0.047381 1.764310 +v -0.057856 0.058904 1.624185 +v -0.054621 0.059848 1.625580 +v -0.051366 0.060722 1.624185 +v -0.049998 0.061013 1.620816 +v -0.051318 0.060551 1.617447 +v -0.054554 0.059607 1.616051 +v -0.057809 0.058733 1.617447 +v -0.059177 0.058442 1.620816 +v -0.068090 0.088856 1.621777 +v -0.064958 0.090038 1.623148 +v -0.061767 0.091021 1.621758 +v -0.060386 0.091229 1.618422 +v -0.061623 0.090541 1.615094 +v -0.064755 0.089360 1.613724 +v -0.067946 0.088377 1.615113 +v -0.069327 0.088168 1.618449 +v -0.078342 0.118871 1.619367 +v -0.075134 0.119697 1.620740 +v -0.071922 0.120507 1.619369 +v -0.070586 0.120826 1.616057 +v -0.071910 0.120469 1.612744 +v -0.075117 0.119644 1.611371 +v -0.078329 0.118834 1.612742 +v -0.079665 0.118514 1.616054 +v -0.084153 0.153161 1.621540 +v -0.080840 0.153029 1.622822 +v -0.077589 0.153359 1.621423 +v -0.076305 0.153958 1.618164 +v -0.077738 0.154474 1.614953 +v -0.081051 0.154605 1.613671 +v -0.084302 0.154275 1.615070 +v -0.085586 0.153677 1.618329 +v -0.080253 0.185357 1.630676 +v -0.077055 0.184288 1.631697 +v -0.073876 0.184145 1.630186 +v -0.072578 0.185013 1.627028 +v -0.073921 0.186382 1.624073 +v -0.077119 0.187450 1.623052 +v -0.080298 0.187593 1.624562 +v -0.081596 0.186725 1.627720 +v -0.071430 0.212440 1.642866 +v -0.068261 0.211379 1.643877 +v -0.065098 0.211293 1.642400 +v -0.063794 0.212234 1.639301 +v -0.065112 0.213650 1.636394 +v -0.068281 0.214712 1.635383 +v -0.071445 0.214797 1.636859 +v -0.072749 0.213856 1.639959 +v -0.068132 0.243823 1.653424 +v -0.064923 0.243668 1.654712 +v -0.061746 0.244151 1.653429 +v -0.060460 0.244990 1.650328 +v -0.061820 0.245693 1.647224 +v -0.065028 0.245848 1.645936 +v -0.068206 0.245365 1.647219 +v -0.069491 0.244526 1.650320 +v -0.074631 0.275925 1.658626 +v -0.071610 0.276671 1.660066 +v -0.068561 0.277723 1.658900 +v -0.067271 0.278464 1.655810 +v -0.068496 0.278460 1.652606 +v -0.071517 0.277713 1.651166 +v -0.074566 0.276661 1.652333 +v -0.075856 0.275920 1.655423 +v -0.085967 0.304022 1.660349 +v -0.083085 0.305082 1.661804 +v -0.080138 0.306335 1.660667 +v -0.078852 0.307047 1.657604 +v -0.079981 0.306801 1.654408 +v -0.082863 0.305741 1.652952 +v -0.085810 0.304488 1.654089 +v -0.087096 0.303776 1.657153 +v -0.098547 0.335861 1.662439 +v -0.095611 0.336691 1.663864 +v -0.092638 0.337788 1.662725 +v -0.091370 0.338509 1.659691 +v -0.092549 0.338431 1.656538 +v -0.095485 0.337601 1.655113 +v -0.098458 0.336504 1.656252 +v -0.099726 0.335784 1.659286 +v -0.195367 0.065327 1.721868 +v -0.192827 0.067540 1.723168 +v -0.190997 0.070369 1.721868 +v -0.190950 0.072157 1.718731 +v -0.192713 0.071856 1.715594 +v -0.195253 0.069643 1.714294 +v -0.197083 0.066814 1.715594 +v -0.197130 0.065026 1.718731 +v -0.218595 0.085498 1.732970 +v -0.216077 0.087691 1.734258 +v -0.214264 0.090495 1.732970 +v -0.214217 0.092267 1.729861 +v -0.215964 0.091969 1.726752 +v -0.218482 0.089776 1.725464 +v -0.220295 0.086972 1.726752 +v -0.220342 0.085200 1.729861 +v -0.241822 0.105670 1.744071 +v -0.239327 0.107843 1.745347 +v -0.237531 0.110621 1.744071 +v -0.237484 0.112377 1.740991 +v -0.239216 0.112081 1.737910 +v -0.241710 0.109908 1.736634 +v -0.243507 0.107130 1.737910 +v -0.243553 0.105374 1.740991 +v -0.267808 0.128231 1.756494 +v -0.265336 0.130385 1.757758 +v -0.263555 0.133137 1.756494 +v -0.263510 0.134877 1.753441 +v -0.265225 0.134584 1.750389 +v -0.267697 0.132431 1.749125 +v -0.269477 0.129678 1.750389 +v -0.269523 0.127939 1.753441 +v 0.080561 0.042558 1.849017 +v 0.083685 0.040584 1.850208 +v 0.087370 0.040298 1.849017 +v 0.089456 0.041867 1.846143 +v 0.088722 0.044372 1.843270 +v 0.085598 0.046346 1.842079 +v 0.081913 0.046633 1.843270 +v 0.079827 0.045063 1.846143 +v 0.088831 0.073584 1.872040 +v 0.091976 0.071783 1.873340 +v 0.095663 0.071615 1.872248 +v 0.097734 0.073178 1.869404 +v 0.096975 0.075556 1.866474 +v 0.093831 0.077357 1.865175 +v 0.090143 0.077525 1.866266 +v 0.088072 0.075962 1.869110 +v 0.097166 0.104817 1.895223 +v 0.100216 0.102816 1.896344 +v 0.103821 0.102489 1.895138 +v 0.105871 0.104028 1.892311 +v 0.105164 0.106532 1.889519 +v 0.102114 0.108534 1.888398 +v 0.098508 0.108860 1.889604 +v 0.096459 0.107321 1.892431 +v 0.111749 0.136142 1.922599 +v 0.114539 0.133676 1.923270 +v 0.117965 0.133047 1.921795 +v 0.120021 0.134623 1.919038 +v 0.119502 0.137480 1.916614 +v 0.116713 0.139946 1.915943 +v 0.113287 0.140575 1.917418 +v 0.111231 0.139000 1.920175 +v 0.131777 0.159654 1.952224 +v 0.134219 0.156815 1.952411 +v 0.137415 0.155945 1.950652 +v 0.139492 0.157555 1.947976 +v 0.139233 0.160700 1.945952 +v 0.136791 0.163540 1.945765 +v 0.133596 0.164410 1.947524 +v 0.131519 0.162800 1.950199 +v 0.153887 0.176525 1.979455 +v 0.156215 0.173628 1.979529 +v 0.159195 0.172600 1.977560 +v 0.161080 0.174042 1.974700 +v 0.160767 0.177110 1.972625 +v 0.158439 0.180006 1.972550 +v 0.155460 0.181034 1.974520 +v 0.153574 0.179592 1.977380 +v 0.180250 0.200120 2.003996 +v 0.182768 0.197446 2.004265 +v 0.185568 0.196285 2.002172 +v 0.187010 0.197318 1.998943 +v 0.186248 0.199940 1.996471 +v 0.183730 0.202614 1.996202 +v 0.180930 0.203775 1.998295 +v 0.179488 0.202742 2.001523 +v 0.206470 0.230044 2.019988 +v 0.209172 0.227621 2.020383 +v 0.211786 0.226293 2.018208 +v 0.212781 0.226837 2.014739 +v 0.211574 0.228936 2.012007 +v 0.208873 0.231358 2.011612 +v 0.206259 0.232686 2.013786 +v 0.205263 0.232142 2.017256 +v 0.230102 0.259344 2.027921 +v 0.232842 0.257019 2.028338 +v 0.235348 0.255601 2.026149 +v 0.236154 0.255921 2.022637 +v 0.234786 0.257791 2.019860 +v 0.232047 0.260116 2.019443 +v 0.229540 0.261534 2.021632 +v 0.228735 0.261214 2.025144 +v 0.256289 0.291722 2.036975 +v 0.258960 0.289365 2.037371 +v 0.261502 0.288031 2.035225 +v 0.262425 0.288502 2.031795 +v 0.261189 0.290500 2.029088 +v 0.258518 0.292857 2.028692 +v 0.255976 0.294191 2.030838 +v 0.255053 0.293720 2.034270 +v 0.319911 0.012433 1.863957 +v 0.322829 0.010660 1.865339 +v 0.325996 0.009383 1.863957 +v 0.327556 0.009350 1.860621 +v 0.326597 0.010581 1.857284 +v 0.323679 0.012355 1.855902 +v 0.320512 0.013632 1.857284 +v 0.318952 0.013664 1.860621 +v 0.337264 0.046974 1.871693 +v 0.340155 0.045216 1.873062 +v 0.343293 0.043951 1.871693 +v 0.344840 0.043918 1.868387 +v 0.343889 0.045138 1.865080 +v 0.340997 0.046896 1.863711 +v 0.337859 0.048161 1.865080 +v 0.336313 0.048194 1.868387 +v 0.354616 0.081514 1.879429 +v 0.357481 0.079773 1.880786 +v 0.360590 0.078519 1.879429 +v 0.362123 0.078487 1.876152 +v 0.361180 0.079696 1.872876 +v 0.358315 0.081437 1.871519 +v 0.355206 0.082691 1.872876 +v 0.353673 0.082723 1.876152 +v 0.374023 0.120155 1.888086 +v 0.376862 0.118429 1.889431 +v 0.379943 0.117187 1.888086 +v 0.381462 0.117155 1.884840 +v 0.380528 0.118353 1.881594 +v 0.377689 0.120078 1.880249 +v 0.374608 0.121321 1.881594 +v 0.373090 0.121353 1.884840 +v -0.005340 0.208114 2.035309 +v -0.002518 0.208518 2.036387 +v 0.000040 0.209775 2.035309 +v 0.000836 0.211149 2.032709 +v -0.000596 0.211835 2.030108 +v -0.003418 0.211431 2.029031 +v -0.005976 0.210174 2.030108 +v -0.006772 0.208800 2.032709 +v -0.015057 0.233345 2.043161 +v -0.012357 0.234023 2.044332 +v -0.009839 0.235322 2.043284 +v -0.008980 0.236482 2.040631 +v -0.010282 0.236823 2.037927 +v -0.012982 0.236145 2.036756 +v -0.015499 0.234846 2.037804 +v -0.016359 0.233686 2.040457 +v -0.024687 0.258317 2.050912 +v -0.021878 0.258586 2.051911 +v -0.019357 0.259797 2.050842 +v -0.018602 0.261240 2.048330 +v -0.020054 0.262070 2.045847 +v -0.022864 0.261800 2.044847 +v -0.025384 0.260590 2.045917 +v -0.026139 0.259147 2.048429 +v -0.028065 0.281763 2.067069 +v -0.025180 0.281174 2.067432 +v -0.022662 0.282209 2.066251 +v -0.021987 0.284262 2.064218 +v -0.023550 0.286130 2.062524 +v -0.026435 0.286719 2.062161 +v -0.028953 0.285684 2.063342 +v -0.029628 0.283632 2.065375 +v -0.022018 0.296274 2.089805 +v -0.019371 0.295101 2.089292 +v -0.016917 0.296014 2.087954 +v -0.016094 0.298476 2.086574 +v -0.017384 0.301046 2.085961 +v -0.020031 0.302218 2.086473 +v -0.022485 0.301306 2.087812 +v -0.023308 0.298844 2.089192 +v -0.010300 0.301878 2.113262 +v -0.007846 0.300586 2.112367 +v -0.005447 0.301465 2.110966 +v -0.004508 0.304000 2.109880 +v -0.005579 0.306707 2.109745 +v -0.008032 0.307999 2.110640 +v -0.010431 0.307120 2.112040 +v -0.011370 0.304585 2.113126 +v 0.002701 0.308591 2.139745 +v 0.005249 0.307389 2.139115 +v 0.007648 0.308275 2.137777 +v 0.008494 0.310730 2.136514 +v 0.007289 0.313315 2.136067 +v 0.004741 0.314516 2.136696 +v 0.002341 0.313630 2.138035 +v 0.001496 0.311176 2.139297 +v 0.083455 0.245847 2.123432 +v 0.086828 0.245141 2.124733 +v 0.089814 0.243420 2.123432 +v 0.090663 0.241692 2.120292 +v 0.088878 0.240969 2.117152 +v 0.085505 0.241675 2.115851 +v 0.082519 0.243396 2.117152 +v 0.081670 0.245124 2.120292 +v 0.096715 0.280505 2.107898 +v 0.100058 0.279806 2.109187 +v 0.103017 0.278100 2.107898 +v 0.103858 0.276388 2.104786 +v 0.102090 0.275671 2.101674 +v 0.098747 0.276371 2.100385 +v 0.095788 0.278076 2.101674 +v 0.094947 0.279789 2.104786 +v 0.109976 0.315164 2.092363 +v 0.113288 0.314471 2.093640 +v 0.116220 0.312780 2.092363 +v 0.117054 0.311083 2.089279 +v 0.115301 0.310374 2.086196 +v 0.111989 0.311067 2.084918 +v 0.109057 0.312757 2.086196 +v 0.108223 0.314454 2.089279 +v 0.124807 0.353938 2.074988 +v 0.128089 0.353251 2.076254 +v 0.130994 0.351576 2.074988 +v 0.131820 0.349895 2.071933 +v 0.130084 0.349191 2.068877 +v 0.126802 0.349878 2.067612 +v 0.123897 0.351553 2.068877 +v 0.123071 0.353234 2.071933 +v 0.074162 -0.169900 2.243975 +v 0.071733 -0.168564 2.245111 +v 0.069170 -0.167506 2.243975 +v 0.067976 -0.167345 2.241232 +v 0.068849 -0.168176 2.238489 +v 0.071279 -0.169512 2.237353 +v 0.073841 -0.170570 2.238489 +v 0.075036 -0.170731 2.241232 +v 0.063464 -0.195289 2.244683 +v 0.060950 -0.194201 2.245830 +v 0.058405 -0.193163 2.244704 +v 0.057319 -0.192785 2.241966 +v 0.058329 -0.193288 2.239219 +v 0.060843 -0.194376 2.238072 +v 0.063388 -0.195414 2.239197 +v 0.064474 -0.195792 2.241935 +v 0.052930 -0.220321 2.245353 +v 0.050595 -0.218904 2.246450 +v 0.048080 -0.217860 2.245333 +v 0.046858 -0.217799 2.242656 +v 0.047646 -0.218757 2.239986 +v 0.049981 -0.220174 2.238889 +v 0.052496 -0.221218 2.240006 +v 0.053718 -0.221279 2.242683 +v 0.039092 -0.243011 2.254749 +v 0.037213 -0.240917 2.255519 +v 0.034741 -0.239848 2.254397 +v 0.033125 -0.240431 2.252039 +v 0.033311 -0.242324 2.249827 +v 0.035190 -0.244418 2.249057 +v 0.037662 -0.245487 2.250180 +v 0.039278 -0.244905 2.252537 +v 0.024535 -0.256328 2.273428 +v 0.023146 -0.253798 2.273601 +v 0.020720 -0.252717 2.272459 +v 0.018678 -0.253716 2.270673 +v 0.018218 -0.256212 2.269288 +v 0.019607 -0.258741 2.269115 +v 0.022033 -0.259823 2.270257 +v 0.024075 -0.258823 2.272043 +v 0.011746 -0.260922 2.295750 +v 0.010553 -0.258321 2.295622 +v 0.008158 -0.257244 2.294476 +v 0.005964 -0.258324 2.292984 +v 0.005256 -0.260927 2.292019 +v 0.006448 -0.263528 2.292147 +v 0.008843 -0.264605 2.293293 +v 0.011038 -0.263525 2.294785 +v -0.002840 -0.266519 2.320922 +v -0.004144 -0.263999 2.320997 +v -0.006523 -0.262935 2.319872 +v -0.008584 -0.263951 2.318205 +v -0.009119 -0.266452 2.316973 +v -0.007815 -0.268972 2.316897 +v -0.005436 -0.270036 2.318023 +v -0.003375 -0.269020 2.319690 +v -0.009230 0.163138 2.322196 +v -0.007532 0.160075 2.323626 +v -0.005447 0.157260 2.322196 +v -0.004197 0.156343 2.318746 +v -0.004513 0.157861 2.315295 +v -0.006211 0.160925 2.313866 +v -0.008296 0.163739 2.315295 +v -0.009546 0.164656 2.318746 +v 0.020316 0.184171 2.324231 +v 0.022257 0.181309 2.325682 +v 0.024338 0.178529 2.324267 +v 0.025341 0.177460 2.320816 +v 0.024678 0.178728 2.317350 +v 0.022738 0.181590 2.315899 +v 0.020656 0.184370 2.317314 +v 0.019653 0.185439 2.320765 +v 0.049477 0.204947 2.326210 +v 0.051028 0.201864 2.327589 +v 0.053070 0.199094 2.326183 +v 0.054406 0.198261 2.322816 +v 0.054254 0.199852 2.319461 +v 0.052703 0.202935 2.318082 +v 0.050661 0.205705 2.319488 +v 0.049325 0.206538 2.322855 +v 0.080778 0.221029 2.339184 +v 0.081438 0.217538 2.340157 +v 0.083410 0.214768 2.338741 +v 0.085540 0.214342 2.335766 +v 0.086579 0.216509 2.332974 +v 0.085919 0.220000 2.332002 +v 0.083947 0.222770 2.333418 +v 0.081817 0.223196 2.336393 +v 0.106732 0.226430 2.363762 +v 0.106611 0.222791 2.364021 +v 0.108520 0.220035 2.362577 +v 0.111342 0.219778 2.360276 +v 0.113423 0.222169 2.358466 +v 0.113545 0.225808 2.358207 +v 0.111635 0.228563 2.359651 +v 0.108813 0.228821 2.361952 +v 0.125066 0.223516 2.392831 +v 0.124689 0.219920 2.392732 +v 0.126567 0.217190 2.391281 +v 0.129599 0.216926 2.389326 +v 0.132010 0.219282 2.388014 +v 0.132387 0.222878 2.388113 +v 0.130509 0.225607 2.389564 +v 0.127477 0.225872 2.391518 +v 0.146165 0.220578 2.425573 +v 0.145960 0.217003 2.425717 +v 0.147830 0.214297 2.424293 +v 0.150680 0.214046 2.422134 +v 0.152841 0.216397 2.420506 +v 0.153046 0.219972 2.420362 +v 0.151176 0.222678 2.421787 +v 0.148326 0.222928 2.423945 +v -0.015298 0.019822 2.408323 +v -0.019124 0.014924 2.410203 +v -0.019956 0.008765 2.408323 +v -0.017306 0.004952 2.403784 +v -0.012727 0.005720 2.399245 +v -0.008901 0.010617 2.397365 +v -0.008069 0.016776 2.399245 +v -0.010719 0.020589 2.403784 +v 0.009069 0.011904 2.429232 +v 0.005604 0.006926 2.431391 +v 0.005020 0.000730 2.429743 +v 0.007660 -0.003054 2.425254 +v 0.011976 -0.002211 2.420554 +v 0.015441 0.002767 2.418395 +v 0.016025 0.008963 2.420043 +v 0.013385 0.012747 2.424531 +v 0.033864 0.003821 2.450531 +v 0.029974 -0.000935 2.452255 +v 0.029061 -0.006947 2.450316 +v 0.031661 -0.010692 2.445850 +v 0.036250 -0.009977 2.441473 +v 0.040141 -0.005220 2.439749 +v 0.041053 0.000791 2.441687 +v 0.038454 0.004536 2.446153 +v 0.056653 -0.010713 2.475699 +v 0.051982 -0.014911 2.476470 +v 0.050584 -0.020556 2.473980 +v 0.053278 -0.024343 2.469687 +v 0.058485 -0.024053 2.466106 +v 0.063156 -0.019855 2.465334 +v 0.064554 -0.014210 2.467824 +v 0.061860 -0.010423 2.472117 +v 0.072142 -0.029095 2.503374 +v 0.066937 -0.032586 2.503151 +v 0.065215 -0.037790 2.500105 +v 0.067984 -0.041658 2.496019 +v 0.073622 -0.041925 2.493288 +v 0.078827 -0.038435 2.493510 +v 0.080550 -0.033231 2.496556 +v 0.077781 -0.029362 2.500642 +v 0.080947 -0.049961 2.528963 +v 0.075464 -0.052706 2.527948 +v 0.073375 -0.057023 2.523994 +v 0.075903 -0.060382 2.519416 +v 0.081568 -0.060816 2.516897 +v 0.087052 -0.058071 2.517911 +v 0.089141 -0.053754 2.521865 +v 0.086613 -0.050395 2.526443 +v 0.089087 -0.080851 2.549701 +v 0.083437 -0.082773 2.548176 +v 0.080945 -0.085491 2.543242 +v 0.083070 -0.087412 2.537789 +v 0.088568 -0.087411 2.535011 +v 0.094218 -0.085488 2.536535 +v 0.096711 -0.082770 2.541469 +v 0.094585 -0.080849 2.546923 +v 0.095753 -0.116685 2.558207 +v 0.089984 -0.117631 2.556450 +v 0.087189 -0.118494 2.551092 +v 0.089006 -0.118767 2.545270 +v 0.094371 -0.118292 2.542396 +v 0.100140 -0.117346 2.544152 +v 0.102935 -0.116483 2.549511 +v 0.101118 -0.116210 2.555332 +v 0.098724 -0.150073 2.556439 +v 0.092951 -0.150510 2.554688 +v 0.090085 -0.150513 2.549361 +v 0.091806 -0.150081 2.543578 +v 0.097105 -0.149466 2.540727 +v 0.102879 -0.149030 2.542478 +v 0.105745 -0.149027 2.547805 +v 0.104024 -0.149459 2.553588 +v 0.101962 -0.185478 2.554828 +v 0.096278 -0.186251 2.553092 +v 0.093500 -0.186833 2.547814 +v 0.095255 -0.186883 2.542083 +v 0.100517 -0.186371 2.539258 +v 0.106201 -0.185598 2.540993 +v 0.108979 -0.185016 2.546272 +v 0.107224 -0.184967 2.552002 +v -0.053106 0.085318 2.563023 +v -0.054511 0.079339 2.564140 +v -0.051723 0.073866 2.563023 +v -0.046375 0.072104 2.560326 +v -0.041600 0.075087 2.557629 +v -0.040194 0.081067 2.556511 +v -0.042982 0.086540 2.557629 +v -0.048330 0.088301 2.560326 +v -0.035593 0.087379 2.596245 +v -0.036986 0.081454 2.597352 +v -0.034224 0.076030 2.596245 +v -0.028924 0.074285 2.593572 +v -0.024191 0.077240 2.590899 +v -0.022798 0.083166 2.589792 +v -0.025561 0.088590 2.590899 +v -0.030861 0.090335 2.593572 +v -0.018081 0.089440 2.629467 +v -0.019461 0.083569 2.630564 +v -0.016724 0.078194 2.629467 +v -0.011472 0.076465 2.626818 +v -0.006783 0.079394 2.624170 +v -0.005402 0.085265 2.623073 +v -0.008140 0.090640 2.624170 +v -0.013391 0.092370 2.626818 +v 0.001503 0.091752 2.666634 +v 0.000136 0.085934 2.667721 +v 0.002848 0.080608 2.666634 +v 0.008052 0.078895 2.664010 +v 0.012698 0.081797 2.661385 +v 0.014066 0.087615 2.660298 +v 0.011353 0.092940 2.661385 +v 0.006150 0.094654 2.664010 +v 0.086264 -0.077978 2.546266 +v 0.083554 -0.082980 2.547885 +v 0.083933 -0.088655 2.546266 +v 0.087179 -0.091681 2.542356 +v 0.091391 -0.090283 2.538446 +v 0.094102 -0.085282 2.536826 +v 0.093722 -0.079607 2.538446 +v 0.090476 -0.076581 2.542356 +v 0.108678 -0.082922 2.568605 +v 0.105993 -0.087878 2.570210 +v 0.106368 -0.093503 2.568605 +v 0.109586 -0.096501 2.564731 +v 0.113760 -0.095116 2.560856 +v 0.116445 -0.090160 2.559251 +v 0.116070 -0.084535 2.560856 +v 0.112852 -0.081537 2.564731 +v 0.131093 -0.087865 2.590945 +v 0.128432 -0.092776 2.592535 +v 0.128804 -0.098350 2.590945 +v 0.131992 -0.101321 2.587106 +v 0.136128 -0.099949 2.583266 +v 0.138789 -0.095038 2.581676 +v 0.138417 -0.089464 2.583266 +v 0.135229 -0.086493 2.587106 +v 0.156165 -0.093389 2.615940 +v 0.153528 -0.098255 2.617516 +v 0.153897 -0.103777 2.615940 +v 0.157056 -0.106721 2.612136 +v 0.161154 -0.105361 2.608331 +v 0.163791 -0.100495 2.606756 +v 0.163422 -0.094973 2.608331 +v 0.160263 -0.092030 2.612136 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.083333 1.000000 +vt 0.083333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.083333 0.125000 +vt 0.083333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.083333 0.250000 +vt 0.000000 0.375000 +vt 0.083333 0.375000 +vt 0.000000 0.500000 +vt 0.083333 0.500000 +vt 0.000000 0.625000 +vt 0.083333 0.625000 +vt 0.000000 0.750000 +vt 0.083333 0.750000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.166667 0.250000 +vt 0.166667 0.375000 +vt 0.166667 0.500000 +vt 0.166667 0.625000 +vt 0.166667 0.750000 +vt 0.250000 1.000000 +vt 0.250000 0.875000 +vt 0.250000 0.125000 +vt 0.250000 0.000000 +vt 0.250000 0.250000 +vt 0.250000 0.375000 +vt 0.250000 0.500000 +vt 0.250000 0.625000 +vt 0.250000 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.416667 1.000000 +vt 0.416667 0.875000 +vt 0.416667 0.125000 +vt 0.416667 0.000000 +vt 0.416667 0.250000 +vt 0.416667 0.375000 +vt 0.416667 0.500000 +vt 0.416667 0.625000 +vt 0.416667 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.583333 1.000000 +vt 0.583333 0.875000 +vt 0.583333 0.125000 +vt 0.583333 0.000000 +vt 0.583333 0.250000 +vt 0.583333 0.375000 +vt 0.583333 0.500000 +vt 0.583333 0.625000 +vt 0.583333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.750000 1.000000 +vt 0.750000 0.875000 +vt 0.750000 0.125000 +vt 0.750000 0.000000 +vt 0.750000 0.250000 +vt 0.750000 0.375000 +vt 0.750000 0.500000 +vt 0.750000 0.625000 +vt 0.750000 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 0.916667 1.000000 +vt 0.916667 0.875000 +vt 0.916667 0.125000 +vt 0.916667 0.000000 +vt 0.916667 0.250000 +vt 0.916667 0.375000 +vt 0.916667 0.500000 +vt 0.916667 0.625000 +vt 0.916667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.166667 1.000000 +vt 0.166667 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.166667 0.125000 +vt 0.166667 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.166667 0.250000 +vt 0.000000 0.375000 +vt 0.166667 0.375000 +vt 0.000000 0.500000 +vt 0.166667 0.500000 +vt 0.000000 0.625000 +vt 0.166667 0.625000 +vt 0.000000 0.750000 +vt 0.166667 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.500000 1.000000 +vt 0.500000 0.875000 +vt 0.500000 0.125000 +vt 0.500000 0.000000 +vt 0.500000 0.250000 +vt 0.500000 0.375000 +vt 0.500000 0.500000 +vt 0.500000 0.625000 +vt 0.500000 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.833333 1.000000 +vt 0.833333 0.875000 +vt 0.833333 0.125000 +vt 0.833333 0.000000 +vt 0.833333 0.250000 +vt 0.833333 0.375000 +vt 0.833333 0.500000 +vt 0.833333 0.625000 +vt 0.833333 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.111111 1.000000 +vt 0.111111 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.111111 0.125000 +vt 0.111111 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.111111 0.250000 +vt 0.000000 0.375000 +vt 0.111111 0.375000 +vt 0.000000 0.500000 +vt 0.111111 0.500000 +vt 0.000000 0.625000 +vt 0.111111 0.625000 +vt 0.000000 0.750000 +vt 0.111111 0.750000 +vt 0.222222 1.000000 +vt 0.222222 0.875000 +vt 0.222222 0.125000 +vt 0.222222 0.000000 +vt 0.222222 0.250000 +vt 0.222222 0.375000 +vt 0.222222 0.500000 +vt 0.222222 0.625000 +vt 0.222222 0.750000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.333333 0.250000 +vt 0.333333 0.375000 +vt 0.333333 0.500000 +vt 0.333333 0.625000 +vt 0.333333 0.750000 +vt 0.444444 1.000000 +vt 0.444444 0.875000 +vt 0.444444 0.125000 +vt 0.444444 0.000000 +vt 0.444444 0.250000 +vt 0.444444 0.375000 +vt 0.444444 0.500000 +vt 0.444444 0.625000 +vt 0.444444 0.750000 +vt 0.555556 1.000000 +vt 0.555556 0.875000 +vt 0.555556 0.125000 +vt 0.555556 0.000000 +vt 0.555556 0.250000 +vt 0.555556 0.375000 +vt 0.555556 0.500000 +vt 0.555556 0.625000 +vt 0.555556 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 0.777778 1.000000 +vt 0.777778 0.875000 +vt 0.777778 0.125000 +vt 0.777778 0.000000 +vt 0.777778 0.250000 +vt 0.777778 0.375000 +vt 0.777778 0.500000 +vt 0.777778 0.625000 +vt 0.777778 0.750000 +vt 0.888889 1.000000 +vt 0.888889 0.875000 +vt 0.888889 0.125000 +vt 0.888889 0.000000 +vt 0.888889 0.250000 +vt 0.888889 0.375000 +vt 0.888889 0.500000 +vt 0.888889 0.625000 +vt 0.888889 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vt 0.000000 1.000000 +vt 0.333333 1.000000 +vt 0.333333 0.875000 +vt 0.000000 0.875000 +vt 0.000000 0.125000 +vt 0.333333 0.125000 +vt 0.333333 0.000000 +vt 0.000000 0.000000 +vt 0.000000 0.250000 +vt 0.333333 0.250000 +vt 0.000000 0.375000 +vt 0.333333 0.375000 +vt 0.000000 0.500000 +vt 0.333333 0.500000 +vt 0.000000 0.625000 +vt 0.333333 0.625000 +vt 0.000000 0.750000 +vt 0.333333 0.750000 +vt 0.666667 1.000000 +vt 0.666667 0.875000 +vt 0.666667 0.125000 +vt 0.666667 0.000000 +vt 0.666667 0.250000 +vt 0.666667 0.375000 +vt 0.666667 0.500000 +vt 0.666667 0.625000 +vt 0.666667 0.750000 +vt 1.000000 1.000000 +vt 1.000000 0.875000 +vt 1.000000 0.125000 +vt 1.000000 0.000000 +vt 1.000000 0.250000 +vt 1.000000 0.375000 +vt 1.000000 0.500000 +vt 1.000000 0.625000 +vt 1.000000 0.750000 +vn -0.7072 -0.7061 0.0361 +vn -0.7066 -0.7067 0.0361 +vn -0.9993 -0.0000 0.0381 +vn -0.9993 0.0004 0.0381 +vn -0.0007 -0.9994 0.0334 +vn 0.0001 -0.9994 0.0334 +vn 0.7066 -0.7069 0.0317 +vn 0.7068 -0.7067 0.0317 +vn 0.9995 0.0004 0.0319 +vn 0.9995 -0.0000 0.0319 +vn 0.7062 0.7072 0.0340 +vn 0.7067 0.7067 0.0339 +vn -0.0007 0.9993 0.0366 +vn 0.0001 0.9993 0.0366 +vn -0.7068 0.7064 0.0383 +vn -0.7066 0.7066 0.0383 +vn -0.7060 -0.7075 0.0328 +vn -0.9995 -0.0005 0.0320 +vn 0.0010 -0.9994 0.0338 +vn 0.7069 -0.7065 0.0344 +vn 0.9994 -0.0005 0.0343 +vn 0.7074 0.7060 0.0336 +vn 0.0010 0.9995 0.0326 +vn -0.7065 0.7070 0.0319 +vn -0.7056 -0.7084 0.0158 +vn -1.0000 -0.0011 0.0065 +vn 0.0017 -0.9996 0.0274 +vn 0.7070 -0.7064 0.0347 +vn 0.9994 -0.0010 0.0333 +vn 0.7083 0.7055 0.0240 +vn 0.0018 0.9999 0.0124 +vn -0.7067 0.7075 0.0051 +vn -0.7063 -0.7079 0.0010 +vn -0.9999 -0.0007 -0.0172 +vn 0.0008 -0.9997 0.0237 +vn 0.7067 -0.7065 0.0378 +vn 0.9994 -0.0003 0.0349 +vn 0.7077 0.7064 0.0169 +vn 0.0011 1.0000 -0.0059 +vn -0.7067 0.7073 -0.0200 +vn -0.7086 -0.7056 0.0002 +vn -0.9999 0.0013 -0.0151 +vn -0.0020 -0.9998 0.0207 +vn 0.7064 -0.7070 0.0342 +vn 0.9995 0.0016 0.0329 +vn 0.7053 0.7087 0.0174 +vn -0.0017 1.0000 -0.0030 +vn -0.7072 0.7069 -0.0164 +vn -0.7097 -0.7045 0.0014 +vn -1.0000 0.0024 0.0026 +vn -0.0027 -1.0000 0.0043 +vn 0.7070 -0.7072 0.0096 +vn 0.9999 0.0026 0.0141 +vn 0.7043 0.7098 0.0153 +vn -0.0029 0.9999 0.0124 +vn -0.7073 0.7069 0.0072 +vn -0.7084 -0.7058 0.0034 +vn -0.9998 0.0010 0.0214 +vn -0.0015 -0.9999 -0.0114 +vn 0.7070 -0.7070 -0.0143 +vn 1.0000 0.0016 -0.0036 +vn 0.7055 0.7085 0.0144 +vn -0.0016 0.9996 0.0292 +vn -0.7071 0.7064 0.0321 +vn -0.7051 -0.7090 0.0068 +vn -0.9997 -0.0026 0.0232 +vn 0.0014 -1.0000 -0.0084 +vn 0.7068 -0.7073 -0.0134 +vn 1.0000 -0.0019 -0.0054 +vn 0.7087 0.7054 0.0109 +vn 0.0012 0.9997 0.0261 +vn -0.7074 0.7061 0.0312 +vn -0.7043 -0.7098 0.0121 +vn -1.0000 -0.0034 0.0094 +vn 0.0023 -0.9999 0.0127 +vn 0.7067 -0.7074 0.0107 +vn 1.0000 -0.0028 0.0074 +vn 0.7095 0.7047 0.0046 +vn 0.0018 1.0000 0.0041 +vn -0.7078 0.7064 0.0060 +vn -0.7054 -0.7086 0.0185 +vn -1.0000 -0.0024 -0.0031 +vn 0.0012 -0.9994 0.0345 +vn 0.7066 -0.7068 0.0356 +vn 0.9998 -0.0014 0.0210 +vn 0.7085 0.7057 -0.0007 +vn 0.0009 0.9999 -0.0167 +vn -0.7077 0.7063 -0.0178 +vn -0.7071 -0.7068 0.0211 +vn -1.0000 -0.0002 -0.0078 +vn -0.0001 -0.9991 0.0428 +vn 0.7069 -0.7059 0.0447 +vn 0.9997 0.0009 0.0256 +vn 0.7068 0.7074 -0.0033 +vn -0.0002 0.9997 -0.0251 +vn -0.7071 0.7066 -0.0269 +vn -0.7081 -0.7058 0.0204 +vn -1.0000 0.0010 -0.0082 +vn -0.0008 -0.9991 0.0420 +vn 0.7072 -0.7057 0.0438 +vn 0.9997 0.0022 0.0248 +vn 0.7058 0.7084 -0.0038 +vn -0.0009 0.9997 -0.0253 +vn -0.7069 0.7068 -0.0271 +vn -0.5563 0.4560 0.6947 +vn -0.5535 0.4516 0.6998 +vn -0.6616 0.7498 0.0031 +vn -0.6610 0.7504 -0.0024 +vn -0.1235 -0.1070 0.9866 +vn -0.1203 -0.1106 0.9866 +vn 0.3842 -0.6076 0.6951 +vn 0.3840 -0.6072 0.6956 +vn 0.6647 -0.7471 -0.0082 +vn 0.6640 -0.7477 -0.0026 +vn 0.5530 -0.4450 -0.7044 +vn 0.5558 -0.4495 -0.6993 +vn 0.1195 0.1162 -0.9860 +vn 0.1227 0.1127 -0.9860 +vn -0.3813 0.6091 -0.6955 +vn -0.3815 0.6094 -0.6950 +vn -0.5468 0.4479 0.7074 +vn -0.6823 0.7310 0.0068 +vn -0.0923 -0.0940 0.9913 +vn 0.4143 -0.5788 0.7024 +vn 0.6832 -0.7301 0.0091 +vn 0.5575 -0.4576 -0.6927 +vn 0.1038 0.0867 -0.9908 +vn -0.4125 0.5820 -0.7008 +vn -0.5317 0.4524 0.7160 +vn -0.7399 0.6726 0.0096 +vn -0.0177 -0.0264 0.9995 +vn 0.5037 -0.4865 0.7138 +vn 0.7410 -0.6711 0.0238 +vn 0.5551 -0.4710 -0.6856 +vn 0.0396 0.0104 -0.9992 +vn -0.5042 0.4908 -0.7106 +vn -0.5271 0.4687 0.7089 +vn -0.7939 0.6081 0.0018 +vn 0.0460 0.0576 0.9973 +vn 0.5900 -0.3837 0.7104 +vn 0.7965 -0.6044 0.0155 +vn 0.5425 -0.4750 -0.6929 +vn -0.0322 -0.0639 -0.9974 +vn -0.5891 0.3872 -0.7093 +vn -0.5538 0.4746 0.6842 +vn -0.7763 0.6297 -0.0273 +vn 0.0019 0.0370 0.9993 +vn 0.5616 -0.4256 0.7096 +vn 0.7785 -0.6276 -0.0116 +vn 0.5294 -0.4515 -0.7182 +vn -0.0212 -0.0155 -0.9997 +vn -0.5543 0.4262 -0.7149 +vn -0.5829 0.4613 0.6688 +vn -0.6615 0.7496 -0.0241 +vn -0.1550 -0.1081 0.9820 +vn 0.3796 -0.6208 0.6859 +vn 0.6727 -0.7388 -0.0410 +vn 0.5544 -0.4085 -0.7251 +vn 0.1237 0.1475 -0.9813 +vn -0.3705 0.6176 -0.6937 +vn -0.6018 0.4313 0.6722 +vn -0.5364 0.8432 0.0348 +vn -0.3103 -0.2428 0.9191 +vn 0.1725 -0.7737 0.6096 +vn 0.5503 -0.8320 -0.0700 +vn 0.5959 -0.3924 -0.7007 +vn 0.2963 0.2680 -0.9167 +vn -0.1667 0.7715 -0.6140 +vn -0.5953 0.3930 0.7009 +vn -0.5491 0.8328 0.0703 +vn -0.2952 -0.2673 0.9173 +vn 0.1693 -0.7703 0.6148 +vn 0.5402 -0.8409 -0.0336 +vn 0.6060 -0.4286 -0.6701 +vn 0.3143 0.2445 -0.9173 +vn -0.1698 0.7749 -0.6089 +vn -0.5600 0.4077 0.7212 +vn -0.6671 0.7440 0.0377 +vn -0.1345 -0.1540 0.9789 +vn 0.3621 -0.6246 0.6919 +vn 0.6603 -0.7507 0.0225 +vn 0.5896 -0.4532 -0.6686 +vn 0.1676 0.1211 -0.9784 +vn -0.3658 0.6310 -0.6841 +vn -0.5381 0.4446 0.7161 +vn -0.7697 0.6383 0.0082 +vn 0.0017 -0.0035 1.0000 +vn 0.5365 -0.4452 0.7169 +vn 0.7708 -0.6364 0.0296 +vn 0.5653 -0.4637 -0.6822 +vn 0.0219 -0.0136 -0.9997 +vn -0.5390 0.4491 -0.7126 +vn -0.5439 0.4653 0.6983 +vn -0.8049 0.5933 -0.0103 +vn 0.0368 0.0648 0.9972 +vn 0.5959 -0.3726 0.7114 +vn 0.8066 -0.5910 0.0087 +vn 0.5446 -0.4622 -0.6998 +vn -0.0360 -0.0619 -0.9974 +vn -0.5942 0.3746 -0.7118 +vn -0.5525 0.4702 0.6883 +vn -0.8038 0.5945 -0.0214 +vn 0.0281 0.0679 0.9973 +vn 0.5949 -0.3761 0.7103 +vn 0.8049 -0.5934 -0.0026 +vn 0.5366 -0.4565 -0.7097 +vn -0.0408 -0.0543 -0.9977 +vn -0.5908 0.3771 -0.7133 +vn -0.4586 -0.5486 0.6991 +vn -0.4504 -0.5407 0.7104 +vn -0.7061 -0.7080 0.0109 +vn -0.7051 -0.7090 0.0136 +vn 0.0512 -0.0741 0.9959 +vn 0.0696 -0.0553 0.9960 +vn 0.5392 0.4519 0.7107 +vn 0.5484 0.4638 0.6958 +vn 0.7049 0.7093 -0.0077 +vn 0.7039 0.7102 -0.0106 +vn 0.4394 0.5343 -0.7221 +vn 0.4483 0.5427 -0.7103 +vn -0.0901 0.0381 -0.9952 +vn -0.0716 0.0570 -0.9958 +vn -0.5590 -0.4731 -0.6810 +vn -0.5505 -0.4619 -0.6955 +vn -0.3449 -0.6056 0.7172 +vn -0.5892 -0.8079 -0.0093 +vn 0.1057 -0.0344 0.9938 +vn 0.4826 0.5447 0.6859 +vn 0.5841 0.8117 0.0014 +vn 0.3642 0.6332 -0.6830 +vn -0.0635 0.0977 -0.9932 +vn -0.4647 -0.5053 -0.7271 +vn -0.0869 -0.7097 0.6991 +vn -0.2380 -0.9700 -0.0494 +vn 0.1121 -0.0207 0.9935 +vn 0.2404 0.6587 0.7130 +vn 0.2357 0.9706 0.0493 +vn 0.1038 0.7612 -0.6401 +vn -0.0876 0.1306 -0.9876 +vn -0.2348 -0.5981 -0.7663 +vn 0.1887 -0.7319 0.6547 +vn 0.1537 -0.9833 -0.0976 +vn 0.1075 -0.0362 0.9935 +vn -0.0333 0.6634 0.7476 +vn -0.1539 0.9839 0.0910 +vn -0.1907 0.7649 -0.6153 +vn -0.1217 0.1138 -0.9860 +vn 0.0208 -0.6181 -0.7858 +vn 0.3165 -0.7343 0.6006 +vn 0.2513 -0.9603 -0.1214 +vn 0.1937 -0.0701 0.9786 +vn -0.0479 0.6413 0.7658 +vn -0.2594 0.9615 0.0904 +vn -0.3161 0.7066 -0.6331 +vn -0.1895 0.0422 -0.9810 +vn 0.0435 -0.6402 -0.7670 +vn 0.2997 -0.7512 0.5881 +vn 0.0557 -0.9956 -0.0756 +vn 0.3742 -0.0620 0.9253 +vn 0.2167 0.6855 0.6950 +vn -0.0807 0.9966 0.0194 +vn -0.3216 0.6879 -0.6507 +vn -0.3718 -0.0075 -0.9283 +vn -0.2170 -0.6900 -0.6905 +vn 0.3002 -0.7364 0.6063 +vn -0.1186 -0.9927 0.0225 +vn 0.5456 -0.0386 0.8372 +vn 0.4618 0.6856 0.5627 +vn 0.0980 0.9939 -0.0511 +vn -0.3224 0.7068 -0.6297 +vn -0.5503 0.0128 -0.8349 +vn -0.4651 -0.6809 -0.5658 +vn 0.3021 -0.6950 0.6525 +vn -0.0790 -0.9952 0.0574 +vn 0.5024 -0.0040 0.8646 +vn 0.4222 0.6825 0.5967 +vn 0.1069 0.9943 -0.0030 +vn -0.2762 0.7417 -0.6113 +vn -0.5028 0.0383 -0.8636 +vn -0.4205 -0.6957 -0.5825 +vn 0.2058 -0.6838 0.7000 +vn 0.0801 -0.9967 0.0139 +vn 0.2124 0.0042 0.9772 +vn 0.1033 0.6839 0.7222 +vn -0.0631 0.9952 0.0742 +vn -0.1978 0.7526 -0.6281 +vn -0.2184 0.0478 -0.9747 +vn -0.1001 -0.7035 -0.7036 +vn 0.1011 -0.7115 0.6954 +vn 0.2397 -0.9708 -0.0133 +vn -0.0924 -0.0516 0.9944 +vn -0.2336 0.6307 0.7400 +vn -0.2465 0.9663 0.0737 +vn -0.1185 0.7537 -0.6464 +vn 0.0839 0.0841 -0.9929 +vn 0.2357 -0.6448 -0.7271 +vn 0.0726 -0.7434 0.6649 +vn 0.3062 -0.9513 -0.0355 +vn -0.2038 -0.0990 0.9740 +vn -0.3610 0.6019 0.7123 +vn -0.3077 0.9509 0.0329 +vn -0.0738 0.7413 -0.6671 +vn 0.2025 0.0973 -0.9744 +vn 0.3594 -0.6018 -0.7131 +vn 0.0810 -0.7549 0.6508 +vn 0.3070 -0.9502 -0.0532 +vn -0.1968 -0.1076 0.9745 +vn -0.3573 0.6075 0.7094 +vn -0.3018 0.9532 0.0156 +vn -0.0684 0.7290 -0.6811 +vn 0.2004 0.0868 -0.9759 +vn 0.3536 -0.5996 -0.7180 +vn 0.5023 -0.5066 0.7008 +vn 0.5011 -0.5047 0.7030 +vn 0.6052 -0.7961 0.0030 +vn 0.6053 -0.7960 0.0037 +vn 0.1060 0.0779 0.9913 +vn 0.1029 0.0819 0.9913 +vn -0.3541 0.6181 0.7019 +vn -0.3562 0.6201 0.6990 +vn -0.6070 0.7947 -0.0020 +vn -0.6071 0.7946 -0.0027 +vn -0.5019 0.5013 -0.7048 +vn -0.5030 0.5032 -0.7027 +vn -0.1017 -0.0875 -0.9910 +vn -0.1048 -0.0834 -0.9910 +vn 0.3564 -0.6237 -0.6957 +vn 0.3543 -0.6216 -0.6986 +vn 0.5180 -0.4874 0.7029 +vn 0.6280 -0.7782 -0.0020 +vn 0.1015 0.0903 0.9907 +vn -0.3732 0.6120 0.6972 +vn -0.6302 0.7764 0.0004 +vn -0.5231 0.4913 -0.6965 +vn -0.1123 -0.0806 -0.9904 +vn 0.3653 -0.6079 -0.7050 +vn 0.5550 -0.4443 0.7033 +vn 0.6998 -0.7142 -0.0083 +vn 0.0835 0.0850 0.9929 +vn -0.4326 0.5601 0.7065 +vn -0.7005 0.7135 0.0183 +vn -0.5694 0.4594 -0.6817 +vn -0.1077 -0.0634 -0.9922 +vn 0.4221 -0.5544 -0.7173 +vn 0.5974 -0.4086 0.6900 +vn 0.7664 -0.6419 -0.0256 +vn 0.0747 0.0651 0.9951 +vn -0.4888 0.4972 0.7169 +vn -0.7681 0.6399 0.0254 +vn -0.6044 0.4123 -0.6817 +vn -0.0890 -0.0568 -0.9944 +vn 0.4798 -0.4946 -0.7247 +vn 0.6258 -0.4105 0.6632 +vn 0.7293 -0.6832 -0.0361 +vn 0.1498 0.1077 0.9828 +vn -0.4236 0.5652 0.7079 +vn -0.7372 0.6757 -0.0024 +vn -0.6033 0.3758 -0.7034 +vn -0.1221 -0.1387 -0.9828 +vn 0.4210 -0.5692 -0.7062 +vn 0.6315 -0.4281 0.6465 +vn 0.5568 -0.8304 0.0203 +vn 0.3349 0.2398 0.9112 +vn -0.1842 0.7751 0.6044 +vn -0.5831 0.8073 -0.0915 +vn -0.6143 0.3461 -0.7091 +vn -0.2969 -0.2986 -0.9070 +vn 0.1783 -0.7736 -0.6081 +vn 0.6326 -0.4062 0.6594 +vn 0.3828 -0.9118 0.1488 +vn 0.5105 0.3474 0.7866 +vn 0.0776 0.8959 0.4374 +vn -0.4050 0.8963 -0.1804 +vn -0.6389 0.3538 -0.6831 +vn -0.4968 -0.3837 -0.7784 +vn -0.0795 -0.8959 -0.4372 +vn 0.5779 -0.3597 0.7325 +vn 0.4076 -0.8892 0.2078 +vn 0.4188 0.3585 0.8343 +vn 0.0342 0.8745 0.4838 +vn -0.3730 0.9182 -0.1331 +vn -0.5784 0.4361 -0.6894 +vn -0.4378 -0.3271 -0.8375 +vn -0.0183 -0.8901 -0.4554 +vn 0.4082 -0.4258 0.8076 +vn 0.5584 -0.8110 0.1743 +vn 0.0395 0.1800 0.9829 +vn -0.3483 0.6866 0.6383 +vn -0.5538 0.8313 -0.0470 +vn -0.4571 0.5169 -0.7238 +vn -0.0754 -0.1308 -0.9885 +vn 0.3679 -0.7111 -0.5992 +vn 0.2673 -0.5652 0.7805 +vn 0.6913 -0.7044 0.1610 +vn -0.2960 -0.1129 0.9485 +vn -0.6939 0.3958 0.6015 +vn -0.7171 0.6927 -0.0770 +vn -0.3295 0.6001 -0.7290 +vn 0.2721 0.1388 -0.9522 +vn 0.7063 -0.4163 -0.5726 +vn 0.2522 -0.6366 0.7288 +vn 0.7480 -0.6484 0.1415 +vn -0.3906 -0.2505 0.8858 +vn -0.8038 0.2801 0.5249 +vn -0.7478 0.6479 -0.1451 +vn -0.2507 0.6344 -0.7312 +vn 0.3910 0.2490 -0.8861 +vn 0.8029 -0.2800 -0.5263 +vn 0.2741 -0.6420 0.7160 +vn 0.7557 -0.6442 0.1181 +vn -0.3797 -0.2537 0.8897 +vn -0.8038 0.2912 0.5188 +vn -0.7363 0.6557 -0.1672 +vn -0.2327 0.6249 -0.7452 +vn 0.3939 0.2373 -0.8880 +vn 0.7961 -0.2791 -0.5369 +vn -0.4342 0.5763 0.6924 +vn -0.4329 0.5718 0.6969 +vn -0.4389 0.8985 0.0048 +vn -0.4384 0.8988 0.0017 +vn -0.1753 -0.0844 0.9809 +vn -0.1727 -0.0898 0.9809 +vn 0.1884 -0.6972 0.6917 +vn 0.1893 -0.6983 0.6903 +vn 0.4415 -0.8972 -0.0075 +vn 0.4410 -0.8975 -0.0043 +vn 0.4338 -0.5662 -0.7009 +vn 0.4350 -0.5707 -0.6964 +vn 0.1721 0.0962 -0.9804 +vn 0.1748 0.0908 -0.9804 +vn -0.1881 0.7004 -0.6885 +vn -0.1872 0.6993 -0.6899 +vn -0.4410 0.5608 0.7008 +vn -0.4694 0.8830 0.0026 +vn -0.1528 -0.0890 0.9842 +vn 0.2233 -0.6833 0.6952 +vn 0.4704 -0.8824 0.0066 +vn 0.4471 -0.5719 -0.6878 +vn 0.1627 0.0754 -0.9838 +vn -0.2184 0.6814 -0.6985 +vn -0.4834 0.5201 0.7042 +vn -0.5862 0.8101 -0.0122 +vn -0.0961 -0.0722 0.9928 +vn 0.3416 -0.6152 0.7105 +vn 0.5859 -0.8098 0.0306 +vn 0.5015 -0.5486 -0.6690 +vn 0.1275 0.0323 -0.9913 +vn -0.3285 0.6040 -0.7261 +vn -0.5355 0.4918 0.6866 +vn -0.6951 0.7182 -0.0316 +vn -0.0595 -0.0235 0.9980 +vn 0.4484 -0.5203 0.7268 +vn 0.6971 -0.7158 0.0412 +vn 0.5469 -0.5006 -0.6711 +vn 0.0752 0.0109 -0.9971 +vn -0.4421 0.5190 -0.7316 +vn -0.4837 0.5757 0.6593 +vn -0.5804 0.8136 -0.0345 +vn -0.1092 0.0067 0.9940 +vn 0.3432 -0.5790 0.7396 +vn 0.5875 -0.8091 0.0155 +vn 0.4590 -0.5266 -0.7156 +vn 0.0590 0.0692 -0.9959 +vn -0.3619 0.6103 -0.7046 +vn -0.2563 0.6836 0.6834 +vn -0.1543 0.9876 0.0297 +vn -0.2184 -0.0064 0.9758 +vn -0.0439 -0.7276 0.6845 +vn 0.1663 -0.9832 -0.0755 +vn 0.2626 -0.5856 -0.7669 +vn 0.1991 0.1408 -0.9698 +vn 0.0292 0.7700 -0.6374 +vn -0.0239 0.6469 0.7622 +vn 0.2871 0.9446 0.1591 +vn -0.3278 -0.0259 0.9444 +vn -0.4432 -0.6987 0.5616 +vn -0.2812 -0.9426 -0.1803 +vn 0.0597 -0.5903 -0.8050 +vn 0.3546 0.1099 -0.9285 +vn 0.4405 0.7284 -0.5247 +vn 0.0526 0.5518 0.8323 +vn 0.3745 0.8992 0.2262 +vn -0.2944 -0.1098 0.9493 +vn -0.4720 -0.7018 0.5335 +vn -0.3877 -0.9046 -0.1772 +vn -0.0802 -0.5961 -0.7989 +vn 0.2836 0.0760 -0.9559 +vn 0.4755 0.7067 -0.5239 +vn 0.0858 0.5205 0.8496 +vn 0.1698 0.9608 0.2190 +vn -0.0437 -0.2022 0.9784 +vn -0.1473 -0.8061 0.5731 +vn -0.1708 -0.9749 -0.1427 +vn -0.0994 -0.6059 -0.7893 +vn 0.0334 0.1308 -0.9909 +vn 0.1497 0.8074 -0.5707 +vn 0.1338 0.5391 0.8315 +vn -0.0404 0.9742 0.2222 +vn 0.2279 -0.1983 0.9533 +vn 0.1944 -0.8174 0.5423 +vn 0.0534 -0.9838 -0.1711 +vn -0.1200 -0.5900 -0.7984 +vn -0.2256 0.1650 -0.9602 +vn -0.1929 0.8252 -0.5309 +vn 0.1544 0.5680 0.8084 +vn -0.1111 0.9708 0.2127 +vn 0.3295 -0.1683 0.9290 +vn 0.3119 -0.8047 0.5052 +vn 0.1123 -0.9701 -0.2151 +vn -0.1531 -0.5658 -0.8102 +vn -0.3279 0.1698 -0.9293 +vn -0.3104 0.8047 -0.5061 +vn 0.1478 0.5826 0.7992 +vn -0.1134 0.9737 0.1974 +vn 0.3248 -0.1589 0.9323 +vn 0.3073 -0.8078 0.5030 +vn 0.1048 -0.9677 -0.2294 +vn -0.1575 -0.5508 -0.8196 +vn -0.3246 0.1800 -0.9286 +vn -0.3060 0.8033 -0.5109 +vn -0.2648 -0.6544 0.7082 +vn -0.2713 -0.6637 0.6971 +vn -0.4792 -0.8776 -0.0080 +vn -0.4781 -0.8783 0.0001 +vn 0.1021 -0.0474 0.9937 +vn 0.0952 -0.0597 0.9937 +vn 0.4063 0.5816 0.7048 +vn 0.4048 0.5789 0.7078 +vn 0.4779 0.8783 0.0162 +vn 0.4769 0.8789 0.0084 +vn 0.2756 0.6739 -0.6855 +vn 0.2691 0.6649 -0.6967 +vn -0.0904 0.0736 -0.9932 +vn -0.0974 0.0610 -0.9934 +vn -0.4056 -0.5748 -0.7107 +vn -0.4072 -0.5776 -0.7075 +vn -0.3034 -0.6622 0.6852 +vn -0.5510 -0.8345 -0.0068 +vn 0.1232 -0.1017 0.9871 +vn 0.4807 0.5279 0.7002 +vn 0.5454 0.8380 -0.0154 +vn 0.2797 0.6399 -0.7158 +vn -0.1475 0.0694 -0.9866 +vn -0.4867 -0.5343 -0.6911 +vn -0.3579 -0.6173 0.7006 +vn -0.6858 -0.7271 0.0317 +vn 0.1804 -0.1486 0.9723 +vn 0.6178 0.4155 0.6676 +vn 0.6811 0.7308 -0.0464 +vn 0.3293 0.6005 -0.7287 +vn -0.2132 0.1169 -0.9700 +vn -0.6267 -0.4269 -0.6519 +vn -0.4048 -0.5630 0.7206 +vn -0.7979 -0.5980 0.0763 +vn 0.2281 -0.1991 0.9531 +vn 0.7316 0.2889 0.6175 +vn 0.7914 0.6037 -0.0960 +vn 0.3714 0.5521 -0.7465 +vn -0.2617 0.1771 -0.9487 +vn -0.7384 -0.2943 -0.6068 +vn -0.4134 -0.5600 0.7180 +vn -0.8708 -0.4781 0.1148 +vn 0.2983 -0.3078 0.9035 +vn 0.8328 0.1358 0.5366 +vn 0.8549 0.4946 -0.1564 +vn 0.3675 0.5550 -0.7463 +vn -0.3246 0.2964 -0.8982 +vn -0.8291 -0.1258 -0.5448 +vn -0.4087 -0.5933 0.6935 +vn -0.9178 -0.3485 0.1901 +vn 0.3550 -0.4900 0.7961 +vn 0.9106 -0.0796 0.4056 +vn 0.8944 0.3796 -0.2366 +vn 0.3406 0.6014 -0.7227 +vn -0.3964 0.4756 -0.7853 +vn -0.9069 0.0881 -0.4121 +vn -0.3980 -0.6224 0.6740 +vn -0.9270 -0.2257 0.2997 +vn 0.3781 -0.6555 0.6537 +vn 0.9298 -0.2854 0.2323 +vn 0.9082 0.2587 -0.3289 +vn 0.3451 0.6408 -0.6858 +vn -0.4083 0.6487 -0.6422 +vn -0.9258 0.2934 -0.2383 +vn -0.3514 -0.6944 0.6279 +vn -0.9178 -0.2773 0.2841 +vn 0.4156 -0.6899 0.5927 +vn 0.9313 -0.2902 0.2202 +vn 0.9239 0.2691 -0.2721 +vn 0.3982 0.6812 -0.6143 +vn -0.3641 0.7068 -0.6065 +vn -0.9204 0.3120 -0.2355 +vn -0.3213 -0.7769 0.5414 +vn -0.8793 -0.4697 0.0787 +vn 0.4114 -0.6159 0.6719 +vn 0.8990 -0.1121 0.4234 +vn 0.8913 0.4501 -0.0546 +vn 0.3937 0.7683 -0.5047 +vn -0.3387 0.6551 -0.6754 +vn -0.8868 0.1410 -0.4402 +vn -0.2848 -0.8492 0.4448 +vn -0.7678 -0.6274 -0.1298 +vn 0.3609 -0.5609 0.7451 +vn 0.7887 0.0441 0.6133 +vn 0.7719 0.6200 0.1402 +vn 0.3225 0.8517 -0.4130 +vn -0.3187 0.5970 -0.7362 +vn -0.7799 -0.0180 -0.6256 +vn -0.2714 -0.8800 0.3897 +vn -0.7056 -0.6780 -0.2060 +vn 0.3226 -0.5661 0.7586 +vn 0.7267 0.0803 0.6822 +vn 0.7042 0.6792 0.2068 +vn 0.2687 0.8809 -0.3896 +vn -0.3256 0.5658 -0.7575 +vn -0.7283 -0.0803 -0.6805 +vn -0.2833 -0.8798 0.3816 +vn -0.7099 -0.6735 -0.2059 +vn 0.3113 -0.5779 0.7544 +vn 0.7264 0.0706 0.6836 +vn 0.7054 0.6797 0.2013 +vn 0.2592 0.8786 -0.4010 +vn -0.3379 0.5551 -0.7601 +vn -0.7333 -0.0859 -0.6745 +vn 0.7045 -0.1625 0.6909 +vn 0.7017 -0.1604 0.6942 +vn 0.9076 -0.4198 0.0042 +vn 0.9075 -0.4201 0.0021 +vn 0.0886 0.1903 0.9777 +vn 0.0843 0.1923 0.9777 +vn -0.5814 0.4314 0.6898 +vn -0.5827 0.4317 0.6886 +vn -0.9088 0.4172 -0.0057 +vn -0.9086 0.4175 -0.0037 +vn -0.6999 0.1561 -0.6970 +vn -0.7027 0.1582 -0.6937 +vn -0.0811 -0.1964 -0.9772 +vn -0.0853 -0.1945 -0.9772 +vn 0.5829 -0.4341 -0.6868 +vn 0.5817 -0.4339 -0.6881 +vn 0.7018 -0.1484 0.6967 +vn 0.9185 -0.3953 0.0016 +vn 0.0735 0.1841 0.9802 +vn -0.5953 0.4075 0.6925 +vn -0.9190 0.3942 0.0047 +vn -0.7107 0.1517 -0.6870 +vn -0.0864 -0.1811 -0.9797 +vn 0.5908 -0.4090 -0.6955 +vn 0.7051 -0.1259 0.6978 +vn 0.9456 -0.3253 -0.0068 +vn 0.0534 0.1450 0.9880 +vn -0.6252 0.3301 0.7073 +vn -0.9453 0.3254 0.0224 +vn -0.7231 0.1329 -0.6778 +vn -0.0766 -0.1394 -0.9873 +vn 0.6203 -0.3314 -0.7109 +vn 0.7154 -0.1074 0.6904 +vn 0.9674 -0.2523 -0.0219 +vn 0.0442 0.0992 0.9941 +vn -0.6498 0.2466 0.7190 +vn -0.9676 0.2507 0.0291 +vn -0.7258 0.1088 -0.6793 +vn -0.0586 -0.0980 -0.9935 +vn 0.6455 -0.2484 -0.7222 +vn 0.7343 -0.0982 0.6717 +vn 0.9634 -0.2656 -0.0354 +vn 0.0693 0.1277 0.9894 +vn -0.6411 0.2774 0.7156 +vn -0.9656 0.2597 0.0124 +vn -0.7152 0.0872 -0.6934 +vn -0.0510 -0.1356 -0.9895 +vn 0.6382 -0.2801 -0.7171 +vn 0.7385 -0.1095 0.6653 +vn 0.9222 -0.3865 -0.0130 +vn 0.1189 0.2354 0.9646 +vn -0.5825 0.4418 0.6823 +vn -0.9265 0.3756 -0.0211 +vn -0.7069 0.0828 -0.7024 +vn -0.0804 -0.2538 -0.9639 +vn 0.5851 -0.4443 -0.6784 +vn 0.7285 -0.1118 0.6759 +vn 0.8671 -0.4970 0.0338 +vn 0.1583 0.3430 0.9259 +vn -0.5104 0.5939 0.6219 +vn -0.8718 0.4868 -0.0549 +vn -0.7136 0.0910 -0.6946 +vn -0.1411 -0.3550 -0.9241 +vn 0.5080 -0.5953 -0.6225 +vn 0.7318 -0.0520 0.6795 +vn 0.8900 -0.4548 0.0328 +vn 0.1411 0.3759 0.9158 +vn -0.5237 0.5813 0.6227 +vn -0.8894 0.4567 -0.0201 +vn -0.7531 0.0725 -0.6538 +vn -0.1802 -0.3585 -0.9160 +vn 0.5065 -0.5824 -0.6358 +vn 0.7578 0.0351 0.6516 +vn 0.9623 -0.2691 -0.0392 +vn 0.1085 0.3121 0.9438 +vn -0.5926 0.4068 0.6952 +vn -0.9598 0.2739 0.0612 +vn -0.7925 -0.0132 -0.6097 +vn -0.1672 -0.2977 -0.9399 +vn 0.5710 -0.4095 -0.7115 +vn 0.7782 0.1217 0.6162 +vn 0.9917 -0.0713 -0.1065 +vn 0.1054 0.2400 0.9650 +vn -0.6197 0.2183 0.7539 +vn -0.9903 0.0726 0.1180 +vn -0.8016 -0.1153 -0.5866 +vn -0.1476 -0.2391 -0.9597 +vn 0.6024 -0.2224 -0.7666 +vn 0.7912 0.1591 0.5905 +vn 0.9912 0.0083 -0.1320 +vn 0.1271 0.2162 0.9680 +vn -0.6114 0.1460 0.7777 +vn -0.9912 -0.0104 0.1320 +vn -0.7902 -0.1615 -0.5912 +vn -0.1254 -0.2185 -0.9677 +vn 0.6122 -0.1480 -0.7768 +vn 0.7980 0.1556 0.5822 +vn 0.9909 0.0040 -0.1344 +vn 0.1397 0.2172 0.9661 +vn -0.6063 0.1498 0.7810 +vn -0.9917 -0.0082 0.1279 +vn -0.7832 -0.1616 -0.6004 +vn -0.1130 -0.2193 -0.9691 +vn 0.6173 -0.1501 -0.7723 +vn -0.1737 0.7017 0.6910 +vn -0.1711 0.7146 0.6783 +vn -0.0268 0.9995 -0.0173 +vn -0.0291 0.9995 -0.0099 +vn -0.2137 -0.0080 0.9769 +vn -0.2140 0.0097 0.9768 +vn -0.1297 -0.7049 0.6974 +vn -0.1302 -0.6998 0.7024 +vn 0.0282 -0.9993 0.0252 +vn 0.0305 -0.9994 0.0182 +vn 0.1719 -0.7270 -0.6648 +vn 0.1745 -0.7146 -0.6774 +vn 0.2177 -0.0280 -0.9756 +vn 0.2174 -0.0098 -0.9760 +vn 0.1346 0.6944 -0.7069 +vn 0.1340 0.6998 -0.7016 +vn -0.1234 0.7304 0.6718 +vn 0.0779 0.9970 -0.0013 +vn -0.2549 0.0376 0.9662 +vn -0.2339 -0.6893 0.6857 +vn -0.0679 -0.9975 -0.0183 +vn 0.1390 -0.6949 -0.7055 +vn 0.2621 0.0130 -0.9650 +vn 0.2354 0.7039 -0.6702 +vn -0.0214 0.7112 0.7026 +vn 0.2930 0.9537 0.0681 +vn -0.3274 0.0561 0.9432 +vn -0.4420 -0.6454 0.6230 +vn -0.2835 -0.9551 -0.0857 +vn 0.0495 -0.6746 -0.7366 +vn 0.3478 0.0013 -0.9376 +vn 0.4438 0.6648 -0.6009 +vn 0.0700 0.6648 0.7438 +vn 0.4882 0.8596 0.1507 +vn -0.3939 0.0824 0.9154 +vn -0.6286 -0.5590 0.5408 +vn -0.4779 -0.8620 -0.1689 +vn -0.0353 -0.6371 -0.7700 +vn 0.4215 -0.0394 -0.9059 +vn 0.6318 0.5719 -0.5232 +vn 0.0980 0.6370 0.7646 +vn 0.6038 0.7684 0.2121 +vn -0.4712 0.1273 0.8728 +vn -0.7601 -0.4632 0.4557 +vn -0.5885 -0.7734 -0.2357 +vn -0.0671 -0.6214 -0.7806 +vn 0.4885 -0.1100 -0.8656 +vn 0.7618 0.4599 -0.4562 +vn 0.0910 0.6476 0.7565 +vn 0.6672 0.6974 0.2618 +vn -0.5462 0.2128 0.8102 +vn -0.8569 -0.3553 0.3734 +vn -0.6458 -0.7068 -0.2886 +vn -0.0522 -0.6345 -0.7711 +vn 0.5649 -0.1968 -0.8014 +vn 0.8581 0.3488 -0.3768 +vn 0.0840 0.6556 0.7504 +vn 0.7143 0.6181 0.3282 +vn -0.6033 0.3068 0.7362 +vn -0.9324 -0.2311 0.2780 +vn -0.6948 -0.6294 -0.3482 +vn -0.0442 -0.6485 -0.7599 +vn 0.6245 -0.2912 -0.7248 +vn 0.9333 0.2284 -0.2771 +vn 0.0479 0.6594 0.7503 +vn 0.7061 0.6152 0.3507 +vn -0.6332 0.3153 0.7068 +vn -0.9437 -0.2090 0.2566 +vn -0.7133 -0.6134 -0.3392 +vn -0.0705 -0.6670 -0.7417 +vn 0.6185 -0.3313 -0.7125 +vn 0.9444 0.2023 -0.2592 +vn 0.0289 0.6757 0.7366 +vn 0.6550 0.7005 0.2835 +vn -0.6054 0.2556 0.7538 +vn -0.8883 -0.3071 0.3414 +vn -0.6685 -0.6958 -0.2625 +vn -0.0661 -0.6910 -0.7198 +vn 0.5827 -0.2831 -0.7618 +vn 0.8894 0.2996 -0.3453 +vn 0.0235 0.6965 0.7172 +vn 0.5983 0.7734 0.2094 +vn -0.5607 0.2108 0.8008 +vn -0.8167 -0.3940 0.4217 +vn -0.6035 -0.7724 -0.1979 +vn -0.0412 -0.7078 -0.7052 +vn 0.5495 -0.2293 -0.8034 +vn 0.8180 0.3878 -0.4248 +vn 0.0262 0.7090 0.7048 +vn 0.5768 0.7966 0.1806 +vn -0.5394 0.2053 0.8166 +vn -0.7883 -0.4192 0.4504 +vn -0.5746 -0.7986 -0.1792 +vn -0.0235 -0.7105 -0.7033 +vn 0.5419 -0.2065 -0.8147 +vn 0.7903 0.4176 -0.4484 +vn 0.0322 0.7116 0.7018 +vn 0.5799 0.7949 0.1786 +vn -0.5363 0.2110 0.8172 +vn -0.7894 -0.4168 0.4507 +vn -0.5736 -0.7984 -0.1832 +vn -0.0182 -0.7071 -0.7069 +vn 0.5462 -0.2019 -0.8130 +vn 0.7915 0.4178 -0.4460 +vn -0.6260 0.3831 0.6792 +vn -0.6232 0.3778 0.6847 +vn -0.6852 0.7283 0.0070 +vn -0.6842 0.7293 0.0020 +vn -0.1999 -0.1891 0.9614 +vn -0.1956 -0.1937 0.9614 +vn 0.3464 -0.6509 0.6755 +vn 0.3470 -0.6511 0.6750 +vn 0.6877 -0.7259 -0.0115 +vn 0.6868 -0.7269 -0.0064 +vn 0.6219 -0.3711 -0.6896 +vn 0.6248 -0.3764 -0.6841 +vn 0.1928 0.1996 -0.9607 +vn 0.1971 0.1951 -0.9608 +vn -0.3459 0.6528 -0.6739 +vn -0.3454 0.6526 -0.6744 +vn -0.6220 0.3681 0.6910 +vn -0.7112 0.7030 0.0043 +vn -0.1685 -0.1796 0.9692 +vn 0.3801 -0.6199 0.6864 +vn 0.7105 -0.7037 0.0104 +vn 0.6322 -0.3807 -0.6749 +vn 0.1826 0.1689 -0.9686 +vn -0.3769 0.6211 -0.6872 +vn -0.6342 0.3326 0.6979 +vn -0.8038 0.5947 -0.0143 +vn -0.0961 -0.1188 0.9883 +vn 0.4900 -0.4971 0.7161 +vn 0.8014 -0.5964 0.0451 +vn 0.6639 -0.3603 -0.6553 +vn 0.1395 0.0890 -0.9862 +vn -0.4787 0.4932 -0.7263 +vn -0.6634 0.3113 0.6804 +vn -0.8815 0.4705 -0.0407 +vn -0.0551 -0.0295 0.9980 +vn 0.5799 -0.3490 0.7362 +vn 0.8820 -0.4678 0.0564 +vn 0.6795 -0.3180 -0.6612 +vn 0.0746 0.0218 -0.9970 +vn -0.5759 0.3508 -0.7384 +vn -0.6491 0.4014 0.6461 +vn -0.7983 0.6000 -0.0521 +vn -0.1242 -0.0303 0.9918 +vn 0.4925 -0.4526 0.7434 +vn 0.8049 -0.5932 0.0179 +vn 0.6049 -0.3563 -0.7122 +vn 0.0515 0.0891 -0.9947 +vn -0.5148 0.4734 -0.7147 +vn -0.5100 0.5392 0.6701 +vn -0.4532 0.8908 0.0333 +vn -0.2811 -0.1274 0.9512 +vn 0.1378 -0.7491 0.6479 +vn 0.4724 -0.8757 -0.1003 +vn 0.4904 -0.4312 -0.7573 +vn 0.2232 0.2434 -0.9439 +vn -0.1578 0.7713 -0.6166 +vn -0.3409 0.5571 0.7572 +vn -0.0461 0.9746 0.2190 +vn -0.4474 -0.1896 0.8740 +vn -0.2859 -0.8406 0.4601 +vn 0.0616 -0.9657 -0.2524 +vn 0.3674 -0.4788 -0.7973 +vn 0.4434 0.2781 -0.8521 +vn 0.2709 0.8605 -0.4315 +vn -0.2222 0.4795 0.8489 +vn 0.0993 0.9370 0.3350 +vn -0.4144 -0.2465 0.8761 +vn -0.3737 -0.8308 0.4125 +vn -0.1213 -0.9502 -0.2871 +vn 0.2088 -0.5142 -0.8319 +vn 0.4168 0.2431 -0.8759 +vn 0.3672 0.8483 -0.3814 +vn -0.0674 0.4372 0.8968 +vn 0.0451 0.9392 0.3405 +vn -0.1398 -0.2989 0.9440 +vn -0.1351 -0.8694 0.4753 +vn -0.0552 -0.9642 -0.2593 +vn 0.0587 -0.5073 -0.8598 +vn 0.1404 0.2723 -0.9519 +vn 0.1344 0.8886 -0.4385 +vn 0.1066 0.4519 0.8857 +vn 0.0017 0.9469 0.3214 +vn 0.1505 -0.2927 0.9443 +vn 0.1109 -0.8727 0.4756 +vn 0.0084 -0.9632 -0.2686 +vn -0.1009 -0.4863 -0.8680 +vn -0.1500 0.2938 -0.9440 +vn -0.1059 0.8916 -0.4403 +vn 0.1832 0.4730 0.8618 +vn -0.0004 0.9554 0.2953 +vn 0.2597 -0.2860 0.9224 +vn 0.1848 -0.8775 0.4426 +vn 0.0018 -0.9547 -0.2977 +vn -0.1816 -0.4715 -0.8629 +vn -0.2581 0.2861 -0.9228 +vn -0.1832 0.8769 -0.4444 +vn 0.1782 0.4831 0.8573 +vn -0.0047 0.9600 0.2799 +vn 0.2558 -0.2866 0.9233 +vn 0.1798 -0.8834 0.4327 +vn -0.0023 -0.9497 -0.3130 +vn -0.1804 -0.4614 -0.8687 +vn -0.2534 0.2862 -0.9241 +vn -0.1822 0.8716 -0.4552 +vn 0.5054 -0.5285 0.6821 +vn 0.5055 -0.5287 0.6819 +vn 0.4823 -0.8760 0.0002 +vn 0.4824 -0.8759 0.0005 +vn 0.2319 0.1280 0.9643 +vn 0.2319 0.1279 0.9643 +vn -0.1781 0.7092 0.6821 +vn -0.1781 0.7093 0.6820 +vn -0.4844 0.8748 0.0008 +vn -0.4845 0.8748 0.0005 +vn -0.5077 0.5277 -0.6810 +vn -0.5076 0.5275 -0.6812 +vn -0.2341 -0.1290 -0.9636 +vn -0.2341 -0.1291 -0.9636 +vn 0.1761 -0.7106 -0.6813 +vn 0.1760 -0.7105 -0.6814 +vn 0.5063 -0.5286 0.6814 +vn 0.4818 -0.8763 -0.0001 +vn 0.2336 0.1287 0.9638 +vn -0.1767 0.7102 0.6814 +vn -0.4840 0.8751 -0.0001 +vn -0.5082 0.5269 -0.6813 +vn -0.2355 -0.1301 -0.9631 +vn 0.1745 -0.7111 -0.6811 +vn 0.4964 -0.5315 0.6864 +vn 0.4820 -0.8761 0.0045 +vn 0.2210 0.1218 0.9676 +vn -0.1835 0.7040 0.6861 +vn -0.4822 0.8761 0.0039 +vn -0.4993 0.5344 -0.6820 +vn -0.2229 -0.1231 -0.9670 +vn 0.1844 -0.7082 -0.6815 +vn 0.4859 -0.5393 0.6878 +vn 0.4803 -0.8771 0.0009 +vn 0.2063 0.1137 0.9719 +vn -0.1947 0.6999 0.6872 +vn -0.4824 0.8760 -0.0001 +vn -0.4881 0.5381 -0.6872 +vn -0.2085 -0.1152 -0.9712 +vn 0.1926 -0.7013 -0.6863 +vn 0.5216 -0.5285 0.6698 +vn 0.4743 -0.8803 -0.0134 +vn 0.2559 0.1410 0.9564 +vn -0.1635 0.7248 0.6693 +vn -0.4842 0.8749 -0.0135 +vn -0.5207 0.5120 -0.6832 +vn -0.2586 -0.1433 -0.9553 +vn 0.1501 -0.7160 -0.6817 +vn 0.6012 -0.5065 0.6180 +vn 0.4188 -0.9081 -0.0033 +vn 0.4244 0.2096 0.8809 +vn -0.0207 0.8028 0.5959 +vn -0.4484 0.8922 -0.0541 +vn -0.6024 0.4532 -0.6571 +vn -0.4145 -0.2350 -0.8792 +vn 0.0019 -0.7902 -0.6128 +vn 0.6726 -0.4583 0.5810 +vn 0.3723 -0.9270 0.0456 +vn 0.5676 0.2890 0.7709 +vn 0.1230 0.8576 0.4994 +vn -0.3925 0.9174 -0.0659 +vn -0.6777 0.4370 -0.5914 +vn -0.5689 -0.2935 -0.7682 +vn -0.1392 -0.8509 -0.5066 +vn 0.6904 -0.3882 0.6104 +vn 0.5354 -0.8446 -0.0016 +vn 0.4450 0.2688 0.8543 +vn -0.0327 0.7688 0.6386 +vn -0.4952 0.8644 0.0873 +vn -0.6976 0.4881 -0.5245 +vn -0.4962 -0.1953 -0.8459 +vn 0.0280 -0.7758 -0.6304 +vn 0.6294 -0.4291 0.6478 +vn 0.8175 -0.5694 -0.0864 +vn 0.1049 -0.0608 0.9926 +vn -0.4674 0.3336 0.8187 +vn -0.8001 0.5562 0.2246 +vn -0.7163 0.4884 -0.4983 +vn -0.2075 0.1293 -0.9696 +vn 0.4737 -0.3409 -0.8120 +vn 0.6132 -0.4982 0.6130 +vn 0.9789 -0.2042 -0.0099 +vn -0.0860 -0.4956 0.8643 +vn -0.7246 -0.2298 0.6497 +vn -0.9831 0.1576 0.0934 +vn -0.7097 0.4672 -0.5273 +vn -0.0038 0.5142 -0.8576 +vn 0.7273 0.2338 -0.6452 +vn 0.6645 -0.4877 0.5662 +vn 0.9985 -0.0267 0.0484 +vn -0.0637 -0.6593 0.7491 +vn -0.7484 -0.4443 0.4925 +vn -0.9983 0.0283 -0.0511 +vn -0.6613 0.4882 -0.5694 +vn 0.0666 0.6589 -0.7493 +vn 0.7483 0.4449 -0.4921 +vn 0.6913 -0.4716 0.5474 +vn 0.9995 -0.0169 0.0253 +vn -0.0367 -0.6564 0.7535 +vn -0.7489 -0.4392 0.4962 +vn -0.9963 0.0502 -0.0691 +vn -0.6337 0.5033 -0.5875 +vn 0.0896 0.6517 -0.7532 +vn 0.7480 0.4364 -0.5001 +vn 0.1496 0.7194 0.6784 +vn 0.1555 0.7257 0.6702 +vn 0.4607 0.8875 -0.0129 +vn 0.4591 0.8884 -0.0072 +vn -0.2454 0.1285 0.9609 +vn -0.2404 0.1380 0.9608 +vn -0.4953 -0.5329 0.6861 +vn -0.4946 -0.5305 0.6885 +vn -0.4602 -0.8876 0.0191 +vn -0.4587 -0.8885 0.0135 +vn -0.1595 -0.7328 -0.6614 +vn -0.1536 -0.7267 -0.6696 +vn 0.2372 -0.1487 -0.9600 +vn 0.2423 -0.1390 -0.9602 +vn 0.4958 0.5269 -0.6903 +vn 0.4966 0.5294 -0.6879 +vn 0.1814 0.7243 0.6652 +vn 0.5150 0.8572 -0.0017 +vn -0.2605 0.1674 0.9508 +vn -0.5506 -0.4951 0.6721 +vn -0.5086 -0.8609 -0.0132 +vn -0.1613 -0.7088 -0.6867 +vn 0.2779 -0.1423 -0.9500 +vn 0.5543 0.5010 -0.6647 +vn 0.2252 0.6946 0.6833 +vn 0.6226 0.7811 0.0470 +vn -0.3065 0.2037 0.9298 +vn -0.6612 -0.4146 0.6252 +vn -0.6164 -0.7852 -0.0601 +vn -0.1990 -0.6801 -0.7056 +vn 0.3314 -0.1753 -0.9271 +vn 0.6661 0.4245 -0.6132 +vn 0.2619 0.6570 0.7070 +vn 0.7165 0.6900 0.1022 +vn -0.3493 0.2404 0.9056 +vn -0.7578 -0.3239 0.5663 +vn -0.7096 -0.6950 -0.1160 +vn -0.2352 -0.6475 -0.7249 +vn 0.3729 -0.2202 -0.9013 +vn 0.7617 0.3296 -0.5579 +vn 0.2607 0.6519 0.7121 +vn 0.7647 0.6299 0.1363 +vn -0.4006 0.2874 0.8700 +vn -0.8238 -0.2500 0.5087 +vn -0.7547 -0.6376 -0.1545 +vn -0.2412 -0.6481 -0.7224 +vn 0.4090 -0.2832 -0.8675 +vn 0.8227 0.2426 -0.5140 +vn 0.2390 0.7010 0.6719 +vn 0.7910 0.5928 0.1514 +vn -0.4641 0.3886 0.7960 +vn -0.8861 -0.1634 0.4338 +vn -0.7683 -0.6121 -0.1871 +vn -0.2016 -0.6961 -0.6891 +vn 0.4744 -0.3827 -0.7927 +vn 0.8816 0.1450 -0.4492 +vn 0.2058 0.7456 0.6338 +vn 0.8044 0.5625 0.1914 +vn -0.5179 0.4869 0.7034 +vn -0.9333 -0.0636 0.3534 +vn -0.7907 -0.5761 -0.2072 +vn -0.1811 -0.7457 -0.6412 +vn 0.5278 -0.4823 -0.6992 +vn 0.9323 0.0546 -0.3574 +vn 0.1800 0.7085 0.6824 +vn 0.7685 0.6052 0.2077 +vn -0.4983 0.4098 0.7640 +vn -0.8978 -0.1124 0.4258 +vn -0.8026 -0.5770 -0.1509 +vn -0.2419 -0.7190 -0.6516 +vn 0.4788 -0.4286 -0.7662 +vn 0.9061 0.1324 -0.4019 +vn 0.2568 0.5853 0.7691 +vn 0.7023 0.6925 0.1648 +vn -0.3206 0.1560 0.9343 +vn -0.7212 -0.3551 0.5948 +vn -0.7323 -0.6774 -0.0704 +vn -0.3264 -0.6223 -0.7115 +vn 0.2943 -0.1837 -0.9379 +vn 0.7353 0.3805 -0.5609 +vn 0.3844 0.4764 0.7907 +vn 0.6233 0.7713 0.1289 +vn -0.0665 -0.0813 0.9945 +vn -0.4774 -0.5910 0.6502 +vn -0.6264 -0.7774 -0.0574 +vn -0.4169 -0.5189 -0.7462 +vn 0.0498 0.0608 -0.9969 +vn 0.4902 0.6069 -0.6256 +vn 0.4518 0.4588 0.7651 +vn 0.5840 0.8064 0.0937 +vn 0.0548 -0.1578 0.9859 +vn -0.3730 -0.6814 0.6297 +vn -0.5826 -0.8070 -0.0965 +vn -0.4494 -0.4581 -0.7669 +vn -0.0531 0.1578 -0.9860 +vn 0.3736 0.6801 -0.6308 +vn 0.4577 0.4740 0.7522 +vn 0.5846 0.8081 0.0730 +vn 0.0557 -0.1486 0.9873 +vn -0.3811 -0.6832 0.6229 +vn -0.5850 -0.8025 -0.1172 +vn -0.4396 -0.4461 -0.7796 +vn -0.0438 0.1602 -0.9861 +vn 0.3745 0.6725 -0.6383 +vn -0.7028 0.2554 0.6640 +vn -0.7021 0.2542 0.6652 +vn -0.7766 0.6300 0.0026 +vn -0.7763 0.6303 0.0016 +vn -0.2170 -0.2690 0.9384 +vn -0.2158 -0.2699 0.9384 +vn 0.3970 -0.6353 0.6624 +vn 0.3973 -0.6354 0.6622 +vn 0.7784 -0.6278 -0.0027 +vn 0.7781 -0.6281 -0.0017 +vn 0.7029 -0.2511 -0.6655 +vn 0.7037 -0.2523 -0.6643 +vn 0.2163 0.2728 -0.9374 +vn 0.2174 0.2719 -0.9374 +vn -0.3959 0.6374 -0.6610 +vn -0.3957 0.6373 -0.6612 +vn -0.7021 0.2513 0.6662 +vn -0.7820 0.6233 0.0010 +vn -0.2107 -0.2668 0.9404 +vn 0.4037 -0.6279 0.6654 +vn 0.7829 -0.6222 0.0026 +vn 0.7057 -0.2526 -0.6620 +vn 0.2155 0.2661 -0.9396 +vn -0.4016 0.6296 -0.6651 +vn -0.6969 0.2611 0.6679 +vn -0.7814 0.6240 0.0018 +vn -0.2058 -0.2535 0.9452 +vn 0.4066 -0.6202 0.6709 +vn 0.7820 -0.6232 0.0028 +vn 0.6981 -0.2589 -0.6675 +vn 0.2035 0.2583 -0.9444 +vn -0.4095 0.6236 -0.6659 +vn -0.6883 0.2693 0.6735 +vn -0.7791 0.6269 0.0026 +vn -0.1942 -0.2451 0.9499 +vn 0.4136 -0.6152 0.6712 +vn 0.7802 -0.6255 0.0012 +vn 0.6918 -0.2699 -0.6698 +vn 0.1981 0.2452 -0.9490 +vn -0.4120 0.6173 -0.6703 +vn -0.7106 0.2277 0.6657 +vn -0.8203 0.5715 -0.0216 +vn -0.1786 -0.2484 0.9520 +vn 0.4531 -0.5747 0.6815 +vn 0.8219 -0.5692 0.0225 +vn 0.7225 -0.2386 -0.6489 +vn 0.2068 0.2320 -0.9505 +vn -0.4351 0.5715 -0.6958 +vn -0.7654 0.1383 0.6285 +vn -0.8847 0.4609 -0.0698 +vn -0.1867 -0.2652 0.9459 +vn 0.4959 -0.5079 0.7043 +vn 0.8879 -0.4561 0.0605 +vn 0.7744 -0.1445 -0.6159 +vn 0.2178 0.2518 -0.9430 +vn -0.4707 0.5055 -0.7231 +vn -0.8035 0.0392 0.5940 +vn -0.9335 0.3416 -0.1093 +vn -0.1957 -0.2836 0.9388 +vn 0.5206 -0.4374 0.7333 +vn 0.9344 -0.3391 0.1090 +vn 0.8153 -0.0465 -0.5772 +vn 0.2262 0.2753 -0.9344 +vn -0.5008 0.4390 -0.7460 +vn -0.8083 0.0086 0.5888 +vn -0.9625 0.2402 -0.1261 +vn -0.1877 -0.2249 0.9561 +vn 0.5368 -0.3285 0.7771 +vn 0.9570 -0.2446 0.1556 +vn 0.8279 -0.0178 -0.5606 +vn 0.2075 0.2229 -0.9525 +vn -0.5422 0.3314 -0.7722 +vn -0.7985 0.0563 0.5994 +vn -0.9762 0.1689 -0.1360 +vn -0.1637 -0.0868 0.9827 +vn 0.5609 -0.1794 0.8082 +vn 0.9699 -0.1699 0.1745 +vn 0.8212 -0.0610 -0.5673 +vn 0.1806 0.0864 -0.9798 +vn -0.5731 0.1828 -0.7988 +vn -0.7928 0.1039 0.6006 +vn -0.9854 0.0936 -0.1425 +vn -0.1433 0.0546 0.9882 +vn 0.5843 -0.0247 0.8112 +vn 0.9809 -0.0895 0.1725 +vn 0.8145 -0.1024 -0.5710 +vn 0.1646 -0.0544 -0.9849 +vn -0.5891 0.0276 -0.8076 +vn -0.8031 0.1169 0.5843 +vn -0.9864 0.0506 -0.1562 +vn -0.1486 0.1153 0.9821 +vn 0.5926 0.0469 0.8041 +vn 0.9868 -0.0482 0.1548 +vn 0.8024 -0.1144 -0.5857 +vn 0.1480 -0.1128 -0.9825 +vn -0.5923 -0.0445 -0.8045 +vn -0.8095 0.1159 0.5755 +vn -0.9849 0.0514 -0.1651 +vn -0.1552 0.1134 0.9814 +vn 0.5940 0.0439 0.8033 +vn 0.9880 -0.0509 0.1459 +vn 0.7959 -0.1144 -0.5945 +vn 0.1420 -0.1100 -0.9837 +vn -0.5905 -0.0417 -0.8059 +vn -0.1777 -0.7376 0.6515 +vn -0.1754 -0.7361 0.6538 +vn -0.5756 -0.8177 0.0065 +vn -0.5760 -0.8175 0.0052 +vn 0.3247 -0.2257 0.9185 +vn 0.3269 -0.2227 0.9185 +vn 0.6367 0.4204 0.6465 +vn 0.6369 0.4216 0.6454 +vn 0.5728 0.8197 -0.0066 +vn 0.5732 0.8194 -0.0053 +vn 0.1708 0.7362 -0.6549 +vn 0.1731 0.7377 -0.6526 +vn -0.3313 0.2213 -0.9172 +vn -0.3292 0.2243 -0.9172 +vn -0.6395 -0.4211 -0.6432 +vn -0.6393 -0.4200 -0.6442 +vn -0.1652 -0.7385 0.6537 +vn -0.5591 -0.8291 0.0002 +vn 0.3237 -0.2142 0.9216 +vn 0.6218 0.4338 0.6521 +vn 0.5580 0.8298 0.0046 +vn 0.1690 0.7444 -0.6460 +vn -0.3204 0.2243 -0.9203 +vn -0.6234 -0.4288 -0.6538 +vn -0.1813 -0.7226 0.6671 +vn -0.5292 -0.8485 0.0001 +vn 0.2680 -0.1813 0.9462 +vn 0.5629 0.4631 0.6846 +vn 0.5349 0.8444 0.0290 +vn 0.1935 0.7359 -0.6489 +vn -0.2669 0.1880 -0.9452 +vn -0.5682 -0.4739 -0.6727 +vn -0.2107 -0.7092 0.6728 +vn -0.5065 -0.8621 -0.0193 +vn 0.2055 -0.1430 0.9682 +vn 0.5015 0.5059 0.7019 +vn 0.5050 0.8627 0.0270 +vn 0.2126 0.7173 -0.6636 +vn -0.2048 0.1533 -0.9667 +vn -0.5041 -0.5030 -0.7020 +vn -0.0963 -0.7907 0.6046 +vn -0.4626 -0.8826 -0.0840 +vn 0.3335 -0.1993 0.9214 +vn 0.5510 0.5100 0.6605 +vn 0.4333 0.9012 0.0125 +vn 0.0701 0.7745 -0.6287 +vn -0.3286 0.2243 -0.9175 +vn -0.5492 -0.4507 -0.7037 +vn 0.1409 -0.9035 0.4047 +vn -0.4303 -0.8941 -0.1240 +vn 0.6403 -0.3330 0.6921 +vn 0.7187 0.4543 0.5264 +vn 0.3533 0.9344 0.0448 +vn -0.1991 0.8730 -0.4452 +vn -0.6383 0.3428 -0.6892 +vn -0.7370 -0.3730 -0.5637 +vn 0.3311 -0.9326 0.1439 +vn -0.3949 -0.9061 -0.1516 +vn 0.8581 -0.3724 0.3535 +vn 0.8433 0.4141 0.3426 +vn 0.3261 0.9368 0.1267 +vn -0.3667 0.9169 -0.1578 +vn -0.8504 0.3918 -0.3512 +vn -0.8688 -0.3491 -0.3513 +vn 0.4403 -0.8978 0.0055 +vn -0.2845 -0.9164 -0.2814 +vn 0.8900 -0.3564 0.2845 +vn 0.8351 0.3763 0.4014 +vn 0.3175 0.9009 0.2961 +vn -0.3841 0.9230 0.0234 +vn -0.8737 0.4077 -0.2654 +vn -0.8424 -0.3652 -0.3963 +vn 0.4560 -0.8899 0.0045 +vn -0.1379 -0.8604 -0.4906 +vn 0.7727 -0.4108 0.4840 +vn 0.6618 0.2864 0.6928 +vn 0.1929 0.8274 0.5274 +vn -0.3894 0.9185 0.0689 +vn -0.7617 0.4717 -0.4442 +vn -0.6633 -0.2878 -0.6908 +vn 0.4636 -0.8859 -0.0171 +vn 0.0402 -0.7505 -0.6597 +vn 0.6057 -0.4979 0.6206 +vn 0.4053 0.1623 0.8997 +vn -0.0189 0.7310 0.6821 +vn -0.4373 0.8957 0.0803 +vn -0.6084 0.5426 -0.5792 +vn -0.4130 -0.1466 -0.8989 +vn 0.4760 -0.8770 -0.0650 +vn 0.1250 -0.6852 -0.7175 +vn 0.5475 -0.5539 0.6273 +vn 0.2971 0.0935 0.9503 +vn -0.1275 0.6849 0.7174 +vn -0.4790 0.8755 0.0635 +vn -0.5494 0.5512 -0.6280 +vn -0.2985 -0.0949 -0.9497 +vn 0.4686 -0.8795 -0.0834 +vn 0.1149 -0.6821 -0.7222 +vn 0.5517 -0.5653 0.6132 +vn 0.3033 0.0908 0.9486 +vn -0.1304 0.6929 0.7092 +vn -0.4841 0.8739 0.0437 +vn -0.5497 0.5376 -0.6394 +vn -0.3013 -0.1021 -0.9480 +vn 0.7023 -0.2733 0.6573 +vn 0.7097 -0.2866 0.6435 +vn 0.7555 -0.6546 -0.0267 +vn 0.7588 -0.6511 -0.0158 +vn 0.2336 0.2605 0.9368 +vn 0.2462 0.2492 0.9366 +vn -0.3634 0.6388 0.6781 +vn -0.3613 0.6370 0.6809 +vn -0.7545 0.6552 0.0384 +vn -0.7578 0.6519 0.0281 +vn -0.7189 0.2973 -0.6284 +vn -0.7118 0.2843 -0.6422 +vn -0.2614 -0.2399 -0.9349 +vn -0.2484 -0.2516 -0.9354 +vn 0.3565 -0.6380 -0.6825 +vn 0.3589 -0.6398 -0.6796 +vn 0.7028 -0.3229 0.6339 +vn 0.6870 -0.7267 -0.0012 +vn 0.3079 0.2752 0.9107 +vn -0.2817 0.7151 0.6398 +vn -0.6997 0.7140 -0.0269 +vn -0.6887 0.2791 -0.6691 +vn -0.2764 -0.3128 -0.9087 +vn 0.2865 -0.7214 -0.6305 +vn 0.6378 -0.3699 0.6755 +vn 0.5171 -0.8484 0.1136 +vn 0.3932 0.3286 0.8587 +vn -0.0940 0.8434 0.5290 +vn -0.5291 0.8380 -0.1339 +vn -0.6333 0.3131 -0.7077 +vn -0.3606 -0.3862 -0.8490 +vn 0.1104 -0.8547 -0.5072 +vn 0.5615 -0.3928 0.7283 +vn 0.3233 -0.9151 0.2411 +vn 0.4760 0.3657 0.7998 +vn 0.1013 0.9158 0.3886 +vn -0.3393 0.9027 -0.2645 +vn -0.5698 0.3396 -0.7483 +vn -0.4626 -0.4122 -0.7849 +vn -0.0954 -0.9213 -0.3769 +vn 0.6023 -0.3865 0.6984 +vn 0.2271 -0.9278 0.2961 +vn 0.6148 0.3987 0.6805 +vn 0.2472 0.9382 0.2421 +vn -0.2661 0.9040 -0.3348 +vn -0.6173 0.3465 -0.7063 +vn -0.6183 -0.3997 -0.6767 +vn -0.2748 -0.9230 -0.2694 +vn 0.7547 -0.4041 0.5169 +vn 0.2376 -0.9355 0.2615 +vn 0.8021 0.3925 0.4501 +vn 0.3443 0.9333 0.1019 +vn -0.3074 0.9040 -0.2972 +vn -0.7728 0.3644 -0.5196 +vn -0.8102 -0.3705 -0.4541 +vn -0.4041 -0.9041 -0.1388 +vn 0.8490 -0.4353 0.2995 +vn 0.2646 -0.9345 0.2381 +vn 0.9244 0.3364 0.1798 +vn 0.4268 0.9030 -0.0503 +vn -0.3231 0.9137 -0.2463 +vn -0.8699 0.3951 -0.2953 +vn -0.9241 -0.3381 -0.1779 +vn -0.4643 -0.8848 0.0399 +vn 0.8554 -0.4036 0.3247 +vn 0.2945 -0.9005 0.3198 +vn 0.9368 0.3167 0.1490 +vn 0.4892 0.8650 -0.1116 +vn -0.2546 0.9160 -0.3099 +vn -0.8537 0.4101 -0.3209 +vn -0.9280 -0.3474 -0.1345 +vn -0.4423 -0.8870 0.1323 +vn 0.7508 -0.3168 0.5796 +vn 0.2420 -0.8457 0.4756 +vn 0.8472 0.3841 0.3670 +vn 0.4748 0.8787 -0.0500 +vn -0.1806 0.8764 -0.4464 +vn -0.7432 0.3360 -0.5786 +vn -0.8387 -0.4231 -0.3430 +vn -0.4125 -0.9052 0.1017 +vn 0.5730 -0.2264 0.7877 +vn 0.1244 -0.7938 0.5954 +vn 0.7002 0.4665 0.5405 +vn 0.4311 0.9022 -0.0151 +vn -0.0963 0.8150 -0.5715 +vn -0.5719 0.2305 -0.7873 +vn -0.6971 -0.4953 -0.5184 +vn -0.4010 -0.9141 0.0607 +vn 0.4901 -0.1886 0.8510 +vn 0.0566 -0.7778 0.6260 +vn 0.6358 0.5112 0.5783 +vn 0.4080 0.9124 -0.0337 +vn -0.0598 0.7780 -0.6254 +vn -0.4921 0.1894 -0.8497 +vn -0.6380 -0.5092 -0.5776 +vn -0.4114 -0.9109 0.0336 +vn 0.4925 -0.1911 0.8491 +vn 0.0503 -0.7852 0.6172 +vn 0.6374 0.5188 0.5697 +vn 0.4000 0.9153 -0.0479 +vn -0.0700 0.7729 -0.6307 +vn -0.4964 0.1902 -0.8470 +vn -0.6415 -0.4996 -0.5822 +vn -0.4197 -0.9074 0.0199 +vn -0.3233 0.6993 0.6375 +vn -0.3256 0.6939 0.6423 +vn -0.0216 0.9997 0.0098 +vn -0.0192 0.9998 0.0049 +vn -0.4382 -0.0132 0.8988 +vn -0.4381 -0.0186 0.8988 +vn -0.2933 -0.7200 0.6290 +vn -0.2933 -0.7199 0.6291 +vn 0.0263 -0.9996 -0.0136 +vn 0.0239 -0.9997 -0.0087 +vn 0.3301 -0.6883 -0.6460 +vn 0.3279 -0.6938 -0.6412 +vn 0.4402 0.0239 -0.8976 +vn 0.4404 0.0186 -0.8976 +vn 0.2956 0.7199 -0.6280 +vn 0.2957 0.7200 -0.6279 +vn -0.3277 0.6866 0.6490 +vn -0.0521 0.9986 0.0037 +vn -0.4094 -0.0248 0.9120 +vn -0.2536 -0.7185 0.6477 +vn 0.0485 -0.9988 0.0114 +vn 0.3247 -0.7017 -0.6342 +vn 0.4126 0.0101 -0.9109 +vn 0.2563 0.7188 -0.6463 +vn -0.3545 0.6740 0.6480 +vn -0.1614 0.9862 -0.0356 +vn -0.3360 -0.0293 0.9414 +vn -0.1253 -0.7083 0.6947 +vn 0.1561 -0.9861 0.0573 +vn 0.3509 -0.7057 -0.6155 +vn 0.3449 -0.0120 -0.9386 +vn 0.1325 0.6989 -0.7029 +vn -0.3812 0.6766 0.6300 +vn -0.2730 0.9590 -0.0761 +vn -0.2649 -0.0006 0.9643 +vn 0.0050 -0.6732 0.7394 +vn 0.2720 -0.9579 0.0919 +vn 0.3841 -0.6915 -0.6118 +vn 0.2721 -0.0158 -0.9621 +vn -0.0017 0.6729 -0.7397 +vn -0.2927 0.7225 0.6264 +vn -0.1670 0.9842 -0.0595 +vn -0.2527 0.0467 0.9664 +vn -0.0602 -0.6690 0.7408 +vn 0.1732 -0.9833 0.0560 +vn 0.2990 -0.6851 -0.6643 +vn 0.2437 0.0232 -0.9696 +vn 0.0511 0.7024 -0.7099 +vn -0.0900 0.7355 0.6715 +vn 0.1751 0.9841 0.0308 +vn -0.3094 0.0681 0.9485 +vn -0.3485 -0.6653 0.6603 +vn -0.1625 -0.9848 -0.0606 +vn 0.1250 -0.6708 -0.7311 +vn 0.3292 0.0321 -0.9437 +vn 0.3455 0.7007 -0.6242 +vn 0.0781 0.6544 0.7521 +vn 0.4794 0.8632 0.1586 +vn -0.3727 0.0698 0.9253 +vn -0.6112 -0.5662 0.5530 +vn -0.4764 -0.8635 -0.1656 +vn -0.0431 -0.6236 -0.7806 +vn 0.4079 -0.0115 -0.9130 +vn 0.6147 0.5936 -0.5194 +vn 0.1649 0.5371 0.8272 +vn 0.5485 0.8050 0.2261 +vn -0.3063 -0.0322 0.9514 +vn -0.6041 -0.5803 0.5462 +vn -0.5659 -0.8076 -0.1661 +vn -0.1982 -0.5725 -0.7956 +vn 0.2990 0.0146 -0.9541 +vn 0.6125 0.5952 -0.5201 +vn 0.2724 0.4537 0.8485 +vn 0.4487 0.8636 0.2298 +vn -0.0515 -0.2008 0.9783 +vn -0.3447 -0.7420 0.5750 +vn -0.4505 -0.8809 -0.1453 +vn -0.3021 -0.5231 -0.7969 +vn 0.0339 0.1613 -0.9863 +vn 0.3556 0.7558 -0.5499 +vn 0.4071 0.4173 0.8125 +vn 0.3474 0.9081 0.2339 +vn 0.2361 -0.3021 0.9236 +vn -0.0642 -0.8504 0.5223 +vn -0.3303 -0.9276 -0.1746 +vn -0.4094 -0.4667 -0.7839 +vn -0.2410 0.2873 -0.9270 +vn 0.0786 0.8654 -0.4949 +vn 0.4706 0.4245 0.7735 +vn 0.3112 0.9257 0.2151 +vn 0.3539 -0.3250 0.8770 +vn 0.0311 -0.8838 0.4668 +vn -0.3100 -0.9254 -0.2182 +vn -0.4687 -0.4231 -0.7755 +vn -0.3522 0.3252 -0.8776 +vn -0.0300 0.8829 -0.4686 +vn 0.4679 0.4401 0.7664 +vn 0.3058 0.9313 0.1980 +vn 0.3516 -0.3197 0.8799 +vn 0.0227 -0.8875 0.4603 +vn -0.3176 -0.9187 -0.2346 +vn -0.4664 -0.4092 -0.7842 +vn -0.3458 0.3282 -0.8790 +vn -0.0301 0.8777 -0.4782 +vn -0.4109 -0.6407 0.6486 +vn -0.3976 -0.6383 0.6592 +vn -0.8518 -0.5207 0.0575 +vn -0.8503 -0.5230 0.0592 +vn 0.2673 -0.3961 0.8784 +vn 0.2912 -0.3814 0.8774 +vn 0.7997 0.0863 0.5941 +vn 0.8085 0.1014 0.5797 +vn 0.8516 0.5214 -0.0535 +vn 0.8501 0.5237 -0.0555 +vn 0.3815 0.6384 -0.6685 +vn 0.3959 0.6411 -0.6575 +vn -0.3166 0.3685 -0.8740 +vn -0.2927 0.3837 -0.8758 +vn -0.8180 -0.1131 -0.5640 +vn -0.8101 -0.0988 -0.5779 +vn -0.3100 -0.7265 0.6133 +vn -0.7701 -0.6373 -0.0281 +vn 0.3323 -0.3665 0.8691 +vn 0.7633 0.1996 0.6144 +vn 0.7631 0.6459 0.0244 +vn 0.3456 0.7393 -0.5779 +vn -0.2718 0.4215 -0.8651 +vn -0.7455 -0.1492 -0.6496 +vn -0.0755 -0.8746 0.4789 +vn -0.4640 -0.8540 -0.2354 +vn 0.3444 -0.3523 0.8702 +vn 0.5537 0.3517 0.7548 +vn 0.4608 0.8559 0.2347 +vn 0.1220 0.9041 -0.4095 +vn -0.2886 0.4607 -0.8393 +vn -0.5463 -0.2685 -0.7934 +vn 0.1945 -0.9221 0.3345 +vn -0.0719 -0.9069 -0.4152 +vn 0.3368 -0.3698 0.8660 +vn 0.2810 0.3823 0.8802 +vn 0.0708 0.9099 0.4087 +vn -0.1787 0.9416 -0.2853 +vn -0.3329 0.4471 -0.8302 +vn -0.2940 -0.3219 -0.9000 +vn 0.2811 -0.9272 0.2475 +vn 0.0023 -0.8934 -0.4493 +vn 0.4001 -0.4198 0.8146 +vn 0.2762 0.3501 0.8951 +vn -0.0167 0.9035 0.4282 +vn -0.2976 0.9092 -0.2911 +vn -0.4026 0.3802 -0.8326 +vn -0.2768 -0.3608 -0.8906 +vn 0.1412 -0.9396 0.3118 +vn -0.2610 -0.9153 -0.3066 +vn 0.4699 -0.4392 0.7657 +vn 0.5284 0.3391 0.7783 +vn 0.2497 0.9227 0.2937 +vn -0.1885 0.9073 -0.3759 +vn -0.4985 0.3454 -0.7951 +vn -0.5211 -0.3951 -0.7565 +vn 0.0280 -0.9086 0.4166 +vn -0.4919 -0.8618 -0.1236 +vn 0.5408 -0.4280 0.7241 +vn 0.7349 0.3201 0.5978 +vn 0.4770 0.8725 0.1061 +vn -0.0661 0.8941 -0.4429 +vn -0.5643 0.3913 -0.7269 +vn -0.7350 -0.3312 -0.5917 +vn 0.1439 -0.9359 0.3214 +vn -0.4781 -0.8618 -0.1694 +vn 0.6749 -0.4178 0.6082 +vn 0.7819 0.3430 0.5206 +vn 0.4377 0.8882 0.1398 +vn -0.1427 0.9392 -0.3123 +vn -0.6474 0.4769 -0.5945 +vn -0.7963 -0.2613 -0.5456 +vn 0.3956 -0.9183 -0.0170 +vn -0.2946 -0.8463 -0.4437 +vn 0.8200 -0.3924 0.4166 +vn 0.7327 0.3511 0.5830 +vn 0.2374 0.8764 0.4190 +vn -0.3802 0.9243 0.0324 +vn -0.7959 0.4779 -0.3717 +vn -0.7796 -0.2426 -0.5774 +vn 0.5803 -0.7346 -0.3516 +vn -0.1369 -0.7064 -0.6945 +vn 0.9297 -0.2988 0.2154 +vn 0.7046 0.3104 0.6381 +vn 0.0819 0.7258 0.6831 +vn -0.5771 0.7364 0.3531 +vn -0.9231 0.3449 -0.1698 +vn -0.7563 -0.2470 -0.6058 +vn 0.6325 -0.6175 -0.4677 +vn -0.0655 -0.6305 -0.7734 +vn 0.9629 -0.2463 0.1107 +vn 0.7301 0.2709 0.6274 +vn 0.0670 0.6286 0.7748 +vn -0.6329 0.6164 0.4684 +vn -0.9636 0.2433 -0.1112 +vn -0.7288 -0.2747 -0.6272 +vn 0.6296 -0.6237 -0.4633 +vn -0.0513 -0.6387 -0.7678 +vn 0.9600 -0.2614 0.1001 +vn 0.7460 0.2550 0.6153 +vn 0.0854 0.6270 0.7743 +vn -0.6324 0.6199 0.4645 +vn -0.9638 0.2336 -0.1286 +vn -0.7127 -0.2907 -0.6384 +vn 0.6737 0.4261 0.6038 +vn 0.6715 0.4270 0.6056 +vn 0.9962 0.0865 0.0018 +vn 0.9964 0.0846 -0.0014 +vn -0.0460 0.5165 0.8551 +vn -0.0464 0.5164 0.8551 +vn -0.7387 0.3016 0.6028 +vn -0.7371 0.3026 0.6042 +vn -0.9958 -0.0913 -0.0033 +vn -0.9960 -0.0894 -0.0001 +vn -0.6691 -0.4307 -0.6056 +vn -0.6713 -0.4299 -0.6038 +vn 0.0471 -0.5193 -0.8533 +vn 0.0467 -0.5193 -0.8533 +vn 0.7358 -0.3064 -0.6039 +vn 0.7374 -0.3055 -0.6025 +vn 0.6695 0.4168 0.6149 +vn 0.9958 0.0913 0.0049 +vn -0.0454 0.4980 0.8660 +vn -0.7336 0.2894 0.6149 +vn -0.9960 -0.0890 0.0057 +vn -0.6753 -0.4173 -0.6081 +vn 0.0445 -0.5011 -0.8642 +vn 0.7382 -0.2896 -0.6092 +vn 0.6679 0.3780 0.6411 +vn 0.9941 0.1084 0.0063 +vn -0.0407 0.4274 0.9031 +vn -0.7248 0.2316 0.6488 +vn -0.9949 -0.0989 0.0208 +vn -0.6855 -0.3751 -0.6240 +vn 0.0348 -0.4308 -0.9018 +vn 0.7359 -0.2284 -0.6374 +vn 0.6777 0.3322 0.6560 +vn 0.9929 0.1191 -0.0077 +vn -0.0300 0.3502 0.9362 +vn -0.7194 0.1648 0.6747 +vn -0.9928 -0.1179 0.0207 +vn -0.6847 -0.3337 -0.6480 +vn 0.0286 -0.3540 -0.9348 +vn 0.7250 -0.1658 -0.6685 +vn 0.6945 0.3546 0.6261 +vn 0.9962 0.0836 -0.0250 +vn -0.0288 0.4138 0.9099 +vn -0.7366 0.2197 0.6396 +vn -0.9942 -0.1065 -0.0150 +vn -0.6632 -0.3677 -0.6519 +vn 0.0432 -0.4171 -0.9078 +vn 0.7218 -0.2328 -0.6518 +vn 0.7050 0.4212 0.5705 +vn 0.9993 -0.0210 0.0297 +vn -0.0203 0.6211 0.7834 +vn -0.7456 0.4325 0.5071 +vn -0.9961 -0.0267 -0.0845 +vn -0.6465 -0.4587 -0.6096 +vn 0.0608 -0.6236 -0.7793 +vn 0.7299 -0.4451 -0.5187 +vn 0.6997 0.4878 0.5220 +vn 0.9872 -0.1004 0.1241 +vn -0.0136 0.7907 0.6120 +vn -0.7204 0.6101 0.3298 +vn -0.9870 0.0620 -0.1486 +vn -0.6688 -0.5169 -0.5343 +vn 0.0297 -0.7933 -0.6082 +vn 0.7061 -0.6221 -0.3382 +vn 0.6680 0.5790 0.4675 +vn 0.9980 -0.0067 0.0630 +vn -0.0496 0.8071 0.5884 +vn -0.7253 0.5758 0.3774 +vn -0.9988 0.0287 -0.0393 +vn -0.7191 -0.5399 -0.4374 +vn -0.0186 -0.8082 -0.5886 +vn 0.7071 -0.5939 -0.3839 +vn 0.6444 0.6488 0.4046 +vn 0.9595 0.2208 -0.1748 +vn -0.0361 0.6833 0.7292 +vn -0.6830 0.3402 0.6464 +vn -0.9586 -0.1851 0.2164 +vn -0.7145 -0.6146 -0.3345 +vn -0.0541 -0.7042 -0.7080 +vn 0.6640 -0.3607 -0.6550 +vn 0.6122 0.7155 0.3366 +vn 0.8140 0.4461 -0.3721 +vn 0.0516 0.5558 0.8297 +vn -0.5269 0.0859 0.8456 +vn -0.8115 -0.4290 0.3968 +vn -0.6474 -0.7105 -0.2758 +vn -0.1068 -0.5873 -0.8023 +vn 0.5092 -0.1053 -0.8542 +vn 0.5985 0.7496 0.2827 +vn 0.7270 0.5287 -0.4381 +vn 0.1180 0.5302 0.8396 +vn -0.4306 -0.0006 0.9025 +vn -0.7257 -0.5307 0.4379 +vn -0.5954 -0.7515 -0.2840 +vn -0.1143 -0.5308 -0.8397 +vn 0.4326 -0.0001 -0.9016 +vn 0.6087 0.7477 0.2653 +vn 0.7303 0.5201 -0.4430 +vn 0.1318 0.5424 0.8297 +vn -0.4284 0.0086 0.9035 +vn -0.7296 -0.5327 0.4288 +vn -0.5874 -0.7502 -0.3034 +vn -0.0981 -0.5220 -0.8473 +vn 0.4415 0.0014 -0.8973 +vn -0.7337 0.4219 0.5326 +vn -0.7332 0.4213 0.5338 +vn -0.4944 0.8684 -0.0380 +vn -0.4844 0.8732 -0.0532 +vn -0.5354 -0.2864 0.7946 +vn -0.5436 -0.2713 0.7943 +vn -0.0158 -0.8170 0.5765 +vn -0.0341 -0.8066 0.5901 +vn 0.5056 -0.8624 0.0247 +vn 0.4962 -0.8673 0.0394 +vn 0.7345 -0.4196 -0.5334 +vn 0.7350 -0.4201 -0.5322 +vn 0.5530 0.2577 -0.7923 +vn 0.5454 0.2723 -0.7927 +vn 0.0540 0.7966 -0.6020 +vn 0.0358 0.8075 -0.5888 +vn -0.6245 0.4771 0.6184 +vn -0.4320 0.9010 0.0388 +vn -0.4719 -0.2089 0.8565 +vn -0.0514 -0.7859 0.6162 +vn 0.4097 -0.9122 0.0085 +vn 0.6278 -0.4783 -0.6141 +vn 0.4544 0.2541 -0.8538 +vn 0.0084 0.8212 -0.5706 +vn -0.3139 0.5712 0.7584 +vn -0.2312 0.9627 0.1404 +vn -0.2262 -0.1284 0.9656 +vn -0.0124 -0.7654 0.6434 +vn 0.2150 -0.9747 -0.0613 +vn 0.3159 -0.5821 -0.7493 +vn 0.2143 0.1889 -0.9583 +vn -0.0174 0.8237 -0.5667 +vn 0.0414 0.6097 0.7916 +vn 0.0023 0.9882 0.1533 +vn 0.0582 -0.1035 0.9929 +vn 0.0431 -0.7673 0.6398 +vn 0.0021 -0.9952 -0.0974 +vn -0.0413 -0.6138 -0.7884 +vn -0.0575 0.1522 -0.9867 +vn -0.0382 0.8130 -0.5810 +vn 0.1732 0.6164 0.7682 +vn 0.1246 0.9870 0.1014 +vn 0.1208 -0.1211 0.9853 +vn -0.0040 -0.7905 0.6124 +vn -0.1262 -0.9837 -0.1279 +vn -0.1718 -0.5951 -0.7851 +vn -0.1172 0.1327 -0.9842 +vn 0.0047 0.7840 -0.6207 +vn 0.0729 0.6406 0.7644 +vn 0.1625 0.9834 0.0805 +vn -0.0623 -0.1005 0.9930 +vn -0.1583 -0.7804 0.6050 +vn -0.1564 -0.9773 -0.1430 +vn -0.0633 -0.6041 -0.7944 +vn 0.0650 0.1048 -0.9924 +vn 0.1575 0.7544 -0.6373 +vn -0.0266 0.6498 0.7596 +vn 0.2020 0.9737 0.1055 +vn -0.2405 -0.0609 0.9687 +vn -0.3106 -0.7385 0.5984 +vn -0.1935 -0.9723 -0.1309 +vn 0.0375 -0.6289 -0.7766 +vn 0.2450 0.0745 -0.9667 +vn 0.3126 0.7326 -0.6046 +vn -0.0026 0.6197 0.7848 +vn 0.2121 0.9669 0.1419 +vn -0.2132 -0.0780 0.9739 +vn -0.3024 -0.7304 0.6125 +vn -0.2188 -0.9705 -0.1013 +vn -0.0051 -0.6447 -0.7644 +vn 0.2147 0.0721 -0.9740 +vn 0.3048 0.7458 -0.5923 +vn 0.1191 0.5874 0.8005 +vn 0.1836 0.9716 0.1491 +vn -0.0112 -0.1236 0.9923 +vn -0.1344 -0.7643 0.6306 +vn -0.1823 -0.9792 -0.0895 +vn -0.1240 -0.6266 -0.7694 +vn 0.0112 0.1126 -0.9936 +vn 0.1407 0.7851 -0.6032 +vn 0.2439 0.5744 0.7814 +vn 0.1562 0.9775 0.1416 +vn 0.1920 -0.1528 0.9694 +vn 0.0323 -0.7926 0.6088 +vn -0.1465 -0.9839 -0.1025 +vn -0.2412 -0.6004 -0.7624 +vn -0.1914 0.1479 -0.9703 +vn -0.0246 0.8073 -0.5896 +vn 0.2916 0.5816 0.7594 +vn 0.1429 0.9820 0.1234 +vn 0.2698 -0.1596 0.9496 +vn 0.0906 -0.8072 0.5833 +vn -0.1413 -0.9820 -0.1255 +vn -0.2898 -0.5809 -0.7607 +vn -0.2680 0.1595 -0.9501 +vn -0.0889 0.8065 -0.5846 +vn 0.2889 0.5897 0.7542 +vn 0.1401 0.9838 0.1118 +vn 0.2671 -0.1578 0.9507 +vn 0.0860 -0.8114 0.5781 +vn -0.1449 -0.9799 -0.1369 +vn -0.2886 -0.5734 -0.7667 +vn -0.2645 0.1606 -0.9509 +vn -0.0885 0.8019 -0.5909 +vn -0.7437 -0.3148 0.5897 +vn -0.7423 -0.3158 0.5910 +vn -0.9933 0.1148 0.0103 +vn -0.9934 0.1142 0.0112 +vn -0.0605 -0.5605 0.8259 +vn -0.0563 -0.5610 0.8259 +vn 0.6600 -0.4782 0.5795 +vn 0.6627 -0.4770 0.5773 +vn 0.9935 -0.1137 -0.0083 +vn 0.9935 -0.1131 -0.0091 +vn 0.7410 0.3186 -0.5911 +vn 0.7425 0.3175 -0.5898 +vn 0.0523 0.5632 -0.8247 +vn 0.0565 0.5627 -0.8247 +vn -0.6653 0.4775 -0.5739 +vn -0.6625 0.4787 -0.5761 +vn -0.7421 -0.3345 0.5808 +vn -0.9954 0.0962 -0.0045 +vn -0.0507 -0.5665 0.8225 +vn 0.6679 -0.4647 0.5814 +vn 0.9957 -0.0926 0.0034 +vn 0.7464 0.3334 -0.5760 +vn 0.0625 0.5670 -0.8213 +vn -0.6601 0.4700 -0.5860 +vn -0.7338 -0.3969 0.5514 +vn -0.9982 0.0044 -0.0604 +vn -0.0371 -0.5576 0.8293 +vn 0.6733 -0.3941 0.6255 +vn 0.9977 -0.0073 0.0679 +vn 0.7565 0.3848 -0.5288 +vn 0.0774 0.5589 -0.8256 +vn -0.6561 0.4047 -0.6370 +vn -0.7376 -0.4496 0.5039 +vn -0.9882 -0.0855 -0.1274 +vn -0.0496 -0.5457 0.8365 +vn 0.6624 -0.3205 0.6771 +vn 0.9878 0.0889 0.1278 +vn 0.7434 0.4484 -0.4963 +vn 0.0638 0.5490 -0.8334 +vn -0.6545 0.3283 -0.6811 +vn -0.7690 -0.3996 0.4991 +vn -0.9976 0.0340 -0.0607 +vn -0.0925 -0.6122 0.7853 +vn 0.6582 -0.4544 0.6002 +vn 0.9994 -0.0068 0.0330 +vn 0.7127 0.4394 -0.5468 +vn 0.0126 0.6164 -0.7874 +vn -0.6800 0.4458 -0.5821 +vn -0.7482 -0.2812 0.6009 +vn -0.9310 0.3075 0.1965 +vn -0.1347 -0.7255 0.6749 +vn 0.5854 -0.7382 0.3353 +vn 0.9357 -0.2686 -0.2287 +vn 0.6826 0.3626 -0.6345 +vn 0.0370 0.7576 -0.6516 +vn -0.6132 0.7268 -0.3095 +vn -0.6636 -0.2178 0.7157 +vn -0.7374 0.4820 0.4732 +vn -0.2059 -0.8084 0.5515 +vn 0.3890 -0.9201 0.0449 +vn 0.7440 -0.4495 -0.4944 +vn 0.6308 0.2950 -0.7176 +vn 0.1477 0.8460 -0.5124 +vn -0.4079 0.9127 -0.0249 +vn -0.5999 -0.2380 0.7638 +vn -0.6188 0.5078 0.5994 +vn -0.2295 -0.8461 0.4810 +vn 0.2749 -0.9579 -0.0832 +vn 0.6188 -0.5094 -0.5980 +vn 0.6006 0.2400 -0.7627 +vn 0.2277 0.8487 -0.4773 +vn -0.2774 0.9568 0.0871 +vn -0.5905 -0.2475 0.7681 +vn -0.6347 0.4985 0.5905 +vn -0.2012 -0.8445 0.4963 +vn 0.3034 -0.9509 -0.0612 +vn 0.6334 -0.5090 -0.5828 +vn 0.5978 0.2295 -0.7681 +vn 0.2117 0.8377 -0.5034 +vn -0.3014 0.9515 0.0616 +vn -0.5866 -0.2336 0.7755 +vn -0.6432 0.5013 0.5788 +vn -0.1873 -0.8331 0.5204 +vn 0.3230 -0.9456 -0.0398 +vn 0.6446 -0.5014 -0.5772 +vn 0.5865 0.2388 -0.7739 +vn 0.1838 0.8375 -0.5146 +vn -0.3250 0.9446 0.0457 +vn -0.5769 -0.2335 0.7827 +vn -0.6316 0.5049 0.5883 +vn -0.1837 -0.8348 0.5189 +vn 0.3175 -0.9470 -0.0485 +vn 0.6332 -0.5044 -0.5871 +vn 0.5785 0.2337 -0.7815 +vn 0.1855 0.8351 -0.5178 +vn -0.3158 0.9475 0.0496 +vn -0.5768 -0.2350 0.7823 +vn -0.6321 0.5049 0.5878 +vn -0.1823 -0.8361 0.5175 +vn 0.3188 -0.9465 -0.0497 +vn 0.6337 -0.5041 -0.5868 +vn 0.5793 0.2324 -0.7813 +vn 0.1869 0.8340 -0.5192 +vn -0.3151 0.9478 0.0479 +vn 0.8328 0.0196 0.5533 +vn 0.8310 0.0232 0.5558 +vn 0.8535 -0.5207 0.0180 +vn 0.8535 -0.5208 0.0178 +vn 0.3269 0.5498 0.7687 +vn 0.3213 0.5532 0.7686 +vn -0.3732 0.7587 0.5339 +vn -0.3770 0.7586 0.5315 +vn -0.8546 0.5191 -0.0167 +vn -0.8545 0.5191 -0.0165 +vn -0.8301 -0.0284 -0.5569 +vn -0.8319 -0.0248 -0.5543 +vn -0.3166 -0.5582 -0.7670 +vn -0.3222 -0.5548 -0.7671 +vn 0.3797 -0.7600 -0.5275 +vn 0.3760 -0.7601 -0.5299 +vn 0.8384 0.0453 0.5432 +vn 0.8684 -0.4958 -0.0058 +vn 0.3126 0.5570 0.7694 +vn -0.3930 0.7401 0.5457 +vn -0.8692 0.4945 0.0079 +vn -0.8445 -0.0370 -0.5343 +vn -0.3294 -0.5495 -0.7678 +vn 0.3815 -0.7423 -0.5508 +vn 0.8519 0.0899 0.5159 +vn 0.9066 -0.4165 -0.0674 +vn 0.2960 0.5375 0.7896 +vn -0.4255 0.6713 0.6068 +vn -0.9028 0.4225 0.0800 +vn -0.8669 -0.0686 -0.4938 +vn -0.3273 -0.5249 -0.7858 +vn 0.4130 -0.6740 -0.6125 +vn 0.8691 0.1241 0.4788 +vn 0.9317 -0.3359 -0.1385 +vn 0.2927 0.5078 0.8102 +vn -0.4501 0.5926 0.6680 +vn -0.9314 0.3353 0.1417 +vn -0.8766 -0.1166 -0.4669 +vn -0.3118 -0.5033 -0.8059 +vn 0.4388 -0.5962 -0.6723 +vn 0.8921 0.1374 0.4303 +vn 0.9210 -0.3626 -0.1423 +vn 0.3322 0.5627 0.7570 +vn -0.4359 0.6476 0.6250 +vn -0.9351 0.3363 0.1119 +vn -0.8708 -0.1722 -0.4605 +vn -0.3058 -0.5752 -0.7587 +vn 0.4269 -0.6517 -0.6270 +vn 0.9016 0.1480 0.4064 +vn 0.8836 -0.4670 -0.0334 +vn 0.3855 0.6878 0.6151 +vn -0.3778 0.8107 0.4473 +vn -0.9040 0.4275 0.0016 +vn -0.8760 -0.2061 -0.4360 +vn -0.3461 -0.7092 -0.6142 +vn 0.3710 -0.8132 -0.4485 +vn 0.9066 0.1684 0.3869 +vn 0.8403 -0.5330 0.0994 +vn 0.4348 0.7806 0.4489 +vn -0.3069 0.9216 0.2378 +vn -0.8588 0.4988 -0.1169 +vn -0.8920 -0.2157 -0.3972 +vn -0.4109 -0.7960 -0.4445 +vn 0.2976 -0.9238 -0.2407 +vn 0.9079 0.2034 0.3666 +vn 0.8349 -0.5299 0.1491 +vn 0.4464 0.8155 0.3684 +vn -0.2747 0.9489 0.1555 +vn -0.8354 0.5296 -0.1471 +vn -0.9100 -0.1991 -0.3638 +vn -0.4528 -0.8123 -0.3677 +vn 0.2698 -0.9503 -0.1556 +vn 0.9108 0.2147 0.3526 +vn 0.8524 -0.5118 0.1070 +vn 0.4354 0.8109 0.3909 +vn -0.2899 0.9352 0.2034 +vn -0.8479 0.5206 -0.1005 +vn -0.9172 -0.1965 -0.3465 +vn -0.4503 -0.8029 -0.3906 +vn 0.2861 -0.9365 -0.2026 +vn 0.9181 0.2123 0.3347 +vn 0.8621 -0.5030 0.0619 +vn 0.4338 0.8018 0.4110 +vn -0.3038 0.9202 0.2469 +vn -0.8632 0.5012 -0.0604 +vn -0.9197 -0.2100 -0.3318 +vn -0.4396 -0.7995 -0.4092 +vn 0.2985 -0.9220 -0.2466 +vn 0.9212 0.2140 0.3249 +vn 0.8654 -0.4985 0.0514 +vn 0.4373 0.8010 0.4088 +vn -0.3029 0.9186 0.2538 +vn -0.8659 0.4978 -0.0493 +vn -0.9217 -0.2149 -0.3228 +vn -0.4377 -0.8019 -0.4066 +vn 0.3025 -0.9193 -0.2516 +vn 0.9214 0.2130 0.3250 +vn 0.8654 -0.4983 0.0520 +vn 0.4389 0.8001 0.4089 +vn -0.3014 0.9191 0.2540 +vn -0.8656 0.4983 -0.0496 +vn -0.9213 -0.2157 -0.3235 +vn -0.4361 -0.8028 -0.4067 +vn 0.3039 -0.9191 -0.2509 +vn 0.5055 0.6972 0.5084 +vn 0.5001 0.6987 0.5116 +vn 0.9458 0.3246 0.0142 +vn 0.9468 0.3217 0.0111 +vn -0.2339 0.6646 0.7097 +vn -0.2384 0.6630 0.7096 +vn -0.8369 0.2388 0.4925 +vn -0.8370 0.2386 0.4924 +vn -0.9442 -0.3289 -0.0158 +vn -0.9453 -0.3260 -0.0127 +vn -0.4943 -0.7017 -0.5132 +vn -0.4996 -0.7001 -0.5101 +vn 0.2433 -0.6629 -0.7081 +vn 0.2389 -0.6645 -0.7081 +vn 0.8376 -0.2398 -0.4908 +vn 0.8375 -0.2400 -0.4909 +vn 0.4921 0.7017 0.5152 +vn 0.9379 0.3469 -0.0001 +vn -0.2387 0.6439 0.7270 +vn -0.8284 0.2135 0.5178 +vn -0.9402 -0.3405 0.0103 +vn -0.5064 -0.6993 -0.5045 +vn 0.2269 -0.6499 -0.7254 +vn 0.8286 -0.2155 -0.5167 +vn 0.4927 0.6876 0.5333 +vn 0.9183 0.3947 -0.0317 +vn -0.2131 0.5806 0.7858 +vn -0.7946 0.1430 0.5901 +vn -0.9242 -0.3776 0.0578 +vn -0.5192 -0.6842 -0.5122 +vn 0.1986 -0.5883 -0.7839 +vn 0.8007 -0.1369 -0.5832 +vn 0.5069 0.6686 0.5440 +vn 0.8982 0.4333 -0.0738 +vn -0.1771 0.5119 0.8406 +vn -0.7562 0.0601 0.6516 +vn -0.8998 -0.4275 0.0870 +vn -0.5208 -0.6692 -0.5300 +vn 0.1661 -0.5194 -0.8383 +vn 0.7574 -0.0612 -0.6501 +vn 0.4962 0.7203 0.4848 +vn 0.8894 0.4412 -0.1195 +vn -0.2026 0.5635 0.8009 +vn -0.7759 0.0628 0.6277 +vn -0.8788 -0.4701 0.0821 +vn -0.4710 -0.7245 -0.5033 +vn 0.2001 -0.5674 -0.7988 +vn 0.7591 -0.0914 -0.6445 +vn 0.4430 0.8142 0.3753 +vn 0.8955 0.4301 -0.1147 +vn -0.2869 0.7081 0.6453 +vn -0.8410 0.1619 0.5162 +vn -0.8765 -0.4754 0.0758 +vn -0.4012 -0.8242 -0.3997 +vn 0.2940 -0.7059 -0.6445 +vn 0.8252 -0.1952 -0.5300 +vn 0.3864 0.8864 0.2549 +vn 0.8979 0.4287 -0.0998 +vn -0.3650 0.8102 0.4587 +vn -0.8922 0.2393 0.3830 +vn -0.8800 -0.4682 0.0798 +vn -0.3582 -0.8951 -0.2654 +vn 0.3623 -0.8122 -0.4572 +vn 0.8793 -0.2721 -0.3910 +vn 0.3309 0.9317 0.1500 +vn 0.8740 0.4633 -0.1463 +vn -0.4070 0.8413 0.3559 +vn -0.8998 0.2577 0.3520 +vn -0.8700 -0.4712 0.1453 +vn -0.3418 -0.9287 -0.1438 +vn 0.3843 -0.8541 -0.3505 +vn 0.8920 -0.2813 -0.3538 +vn 0.2932 0.9539 0.0641 +vn 0.8302 0.4947 -0.2571 +vn -0.4136 0.8425 0.3452 +vn -0.8730 0.2419 0.4234 +vn -0.8301 -0.4936 0.2594 +vn -0.3139 -0.9480 -0.0519 +vn 0.3867 -0.8593 -0.3348 +vn 0.8670 -0.2636 -0.4229 +vn 0.2552 0.9665 -0.0277 +vn 0.7790 0.5068 -0.3692 +vn -0.4191 0.8459 0.3297 +vn -0.8409 0.2286 0.4905 +vn -0.7737 -0.5161 0.3674 +vn -0.2640 -0.9639 0.0350 +vn 0.3992 -0.8600 -0.3180 +vn 0.8349 -0.2545 -0.4880 +vn 0.2347 0.9691 -0.0763 +vn 0.7503 0.5160 -0.4133 +vn -0.4182 0.8552 0.3061 +vn -0.8261 0.2401 0.5098 +vn -0.7494 -0.5158 0.4152 +vn -0.2333 -0.9693 0.0778 +vn 0.4200 -0.8548 -0.3048 +vn 0.8274 -0.2393 -0.5081 +vn 0.2386 0.9681 -0.0761 +vn 0.7501 0.5186 -0.4105 +vn -0.4117 0.8593 0.3035 +vn -0.8247 0.2479 0.5084 +vn -0.7519 -0.5129 0.4143 +vn -0.2315 -0.9700 0.0742 +vn 0.4256 -0.8506 -0.3089 +vn 0.8297 -0.2316 -0.5079 +vn -0.7476 -0.4097 0.5228 +vn -0.7458 -0.4112 0.5242 +vn -0.9954 0.0955 0.0077 +vn -0.9953 0.0964 0.0067 +vn -0.0617 -0.6762 0.7341 +vn -0.0592 -0.6764 0.7341 +vn 0.6615 -0.5452 0.5150 +vn 0.6621 -0.5449 0.5146 +vn 0.9957 -0.0927 -0.0069 +vn 0.9956 -0.0936 -0.0059 +vn 0.7442 0.4146 -0.5237 +vn 0.7460 0.4131 -0.5224 +vn 0.0570 0.6786 -0.7323 +vn 0.0594 0.6784 -0.7323 +vn -0.6625 0.5465 -0.5123 +vn -0.6619 0.5468 -0.5127 +vn -0.7435 -0.4165 0.5232 +vn -0.9965 0.0839 -0.0004 +vn -0.0553 -0.6711 0.7393 +vn 0.6639 -0.5332 0.5244 +vn 0.9964 -0.0845 0.0048 +vn 0.7486 0.4145 -0.5175 +vn 0.0622 0.6725 -0.7375 +vn -0.6621 0.5360 -0.5237 +vn -0.7397 -0.4006 0.5408 +vn -0.9979 0.0651 -0.0055 +vn -0.0552 -0.6323 0.7728 +vn 0.6607 -0.4995 0.5604 +vn 0.9968 -0.0766 0.0234 +vn 0.7507 0.3943 -0.5301 +vn 0.0572 0.6340 -0.7712 +vn -0.6707 0.4959 -0.5515 +vn -0.7407 -0.3766 0.5563 +vn -0.9982 0.0571 -0.0209 +vn -0.0515 -0.5882 0.8071 +vn 0.6672 -0.4568 0.5884 +vn 0.9979 -0.0582 0.0274 +vn 0.7465 0.3754 -0.5494 +vn 0.0577 0.5905 -0.8050 +vn -0.6670 0.4591 -0.5868 +vn -0.7509 -0.4538 0.4797 +vn -0.9963 0.0299 -0.0810 +vn -0.0414 -0.6608 0.7494 +vn 0.6873 -0.4625 0.5601 +vn 0.9990 0.0062 0.0446 +vn 0.7375 0.4659 -0.4889 +vn 0.0644 0.6632 -0.7456 +vn -0.6484 0.4889 -0.5836 +vn -0.7368 -0.5963 0.3186 +vn -0.9902 -0.0199 -0.1385 +vn -0.0271 -0.8108 0.5847 +vn 0.6954 -0.5252 0.4905 +vn 0.9919 0.0683 0.1068 +vn 0.7170 0.6135 -0.3311 +vn 0.0438 0.8130 -0.5806 +vn -0.6572 0.5588 -0.5058 +vn -0.6982 -0.7020 0.1400 +vn -0.9781 -0.0592 -0.1997 +vn 0.0121 -0.9179 0.3967 +vn 0.7098 -0.5723 0.4107 +vn 0.9775 0.1059 0.1825 +vn 0.6841 0.7146 -0.1462 +vn 0.0088 0.9204 -0.3908 +vn -0.6754 0.6090 -0.4158 +vn -0.6400 -0.7678 -0.0307 +vn -0.9498 -0.1022 -0.2957 +vn 0.0577 -0.9657 0.2532 +vn 0.7138 -0.5855 0.3841 +vn 0.9478 0.1301 0.2912 +vn 0.6415 0.7664 0.0341 +vn -0.0275 0.9700 -0.2416 +vn -0.6870 0.6191 -0.3805 +vn -0.5721 -0.7981 -0.1889 +vn -0.8969 -0.1277 -0.4234 +vn 0.0981 -0.9822 0.1600 +vn 0.7025 -0.5811 0.4108 +vn 0.8939 0.1509 0.4221 +vn 0.5775 0.7928 0.1949 +vn -0.0665 0.9876 -0.1424 +vn -0.6793 0.6150 -0.4005 +vn -0.4853 -0.8026 -0.3468 +vn -0.8266 -0.1291 -0.5477 +vn 0.1513 -0.9863 0.0663 +vn 0.6899 -0.5783 0.4355 +vn 0.8212 0.1593 0.5479 +vn 0.4857 0.8012 0.3496 +vn -0.1247 0.9911 -0.0457 +vn -0.6692 0.6147 -0.4175 +vn -0.4349 -0.7961 -0.4209 +vn -0.7862 -0.1419 -0.6015 +vn 0.1701 -0.9854 0.0063 +vn 0.6759 -0.5979 0.4309 +vn 0.7850 0.1406 0.6034 +vn 0.4335 0.7959 0.4226 +vn -0.1725 0.9850 -0.0051 +vn -0.6782 0.5963 -0.4296 +vn -0.4376 -0.7961 -0.4180 +vn -0.7863 -0.1510 -0.5991 +vn 0.1608 -0.9870 0.0024 +vn 0.6700 -0.6086 0.4251 +vn 0.7880 0.1316 0.6014 +vn 0.4349 0.7967 0.4197 +vn -0.1792 0.9837 -0.0131 +vn -0.6841 0.5854 -0.4351 +vn 0.3128 0.9491 0.0365 +vn 0.3331 0.9422 0.0348 +vn 0.9007 0.4323 -0.0440 +vn 0.8920 0.4501 -0.0427 +vn -0.4389 0.8936 0.0942 +vn -0.4291 0.8983 0.0950 +vn -0.9370 0.3349 0.0996 +vn -0.9387 0.3297 0.1010 +vn -0.9083 -0.4152 0.0503 +vn -0.9003 -0.4324 0.0492 +vn -0.3535 -0.9350 -0.0279 +vn -0.3329 -0.9425 -0.0298 +vn 0.4187 -0.9037 -0.0900 +vn 0.4294 -0.8987 -0.0894 +vn 0.9410 -0.3243 -0.0964 +vn 0.9392 -0.3300 -0.0952 +vn 0.3627 0.9319 0.0026 +vn 0.9135 0.4061 0.0245 +vn -0.4166 0.9089 -0.0172 +vn -0.9455 0.3247 -0.0243 +vn -0.8899 -0.4558 -0.0160 +vn -0.3044 -0.9525 0.0050 +vn 0.4454 -0.8949 0.0263 +vn 0.9398 -0.3399 0.0344 +vn 0.3890 0.9204 -0.0389 +vn 0.8784 0.4193 0.2294 +vn -0.3478 0.8911 -0.2916 +vn -0.8845 0.2918 -0.3639 +vn -0.8471 -0.4925 -0.1995 +vn -0.2975 -0.9512 0.0818 +vn 0.4038 -0.8607 0.3102 +vn 0.8784 -0.3037 0.3691 +vn 0.3926 0.9157 -0.0855 +vn 0.7752 0.4820 0.4084 +vn -0.2339 0.8088 -0.5395 +vn -0.7220 0.2009 -0.6620 +vn -0.7638 -0.5258 -0.3745 +vn -0.3482 -0.9280 0.1323 +vn 0.2604 -0.7903 0.5546 +vn 0.7159 -0.2141 0.6646 +vn 0.3933 0.8988 -0.1936 +vn 0.7994 0.4922 0.3446 +vn -0.2399 0.7625 -0.6008 +vn -0.7248 0.2011 -0.6589 +vn -0.8097 -0.4685 -0.3535 +vn -0.4428 -0.8832 0.1549 +vn 0.1847 -0.7906 0.5839 +vn 0.7078 -0.2209 0.6710 +vn 0.3942 0.8846 -0.2494 +vn 0.9152 0.3989 0.0579 +vn -0.3330 0.8522 -0.4035 +vn -0.8707 0.3592 -0.3361 +vn -0.9420 -0.3239 -0.0882 +vn -0.5036 -0.8378 0.2110 +vn 0.2427 -0.8838 0.4001 +vn 0.8663 -0.3640 0.3420 +vn 0.4195 0.8614 -0.2863 +vn 0.9348 0.2711 -0.2294 +vn -0.3304 0.9275 -0.1749 +vn -0.8809 0.4721 0.0326 +vn -0.9433 -0.2441 0.2248 +vn -0.4745 -0.8295 0.2947 +vn 0.2748 -0.9417 0.1939 +vn 0.8705 -0.4915 -0.0263 +vn 0.4319 0.7611 -0.4838 +vn 0.9226 0.1663 -0.3481 +vn -0.3437 0.8859 -0.3115 +vn -0.8943 0.4439 0.0562 +vn -0.8875 -0.2537 0.3848 +vn -0.3742 -0.7869 0.4906 +vn 0.3359 -0.8828 0.3285 +vn 0.8647 -0.5022 -0.0101 +vn 0.3916 0.5232 -0.7569 +vn 0.9288 0.1547 -0.3367 +vn -0.4260 0.5694 -0.7031 +vn -0.9573 0.2319 -0.1728 +vn -0.8664 -0.2333 0.4416 +vn -0.2943 -0.5472 0.7836 +vn 0.4255 -0.5658 0.7063 +vn 0.9230 -0.2856 0.2577 +vn 0.3711 0.1825 -0.9105 +vn 0.9232 0.1531 -0.3525 +vn -0.4289 0.0945 -0.8984 +vn -0.9485 -0.0487 -0.3130 +vn -0.8804 -0.1607 0.4461 +vn -0.3144 -0.1813 0.9318 +vn 0.4134 -0.1028 0.9047 +vn 0.9198 0.0323 0.3911 +vn 0.3582 0.0142 -0.9335 +vn 0.9048 0.1244 -0.4074 +vn -0.3928 -0.1024 -0.9139 +vn -0.9179 -0.1582 -0.3639 +vn -0.9067 -0.1209 0.4041 +vn -0.3604 -0.0126 0.9327 +vn 0.3932 0.1036 0.9136 +vn 0.9185 0.1612 0.3611 +vn 0.3426 0.0203 -0.9393 +vn 0.8927 0.1234 -0.4335 +vn -0.3904 -0.0913 -0.9161 +vn -0.9103 -0.1519 -0.3852 +vn -0.9179 -0.1244 0.3767 +vn -0.3768 -0.0192 0.9261 +vn 0.3988 0.1001 0.9116 +vn 0.9280 0.1587 0.3372 +vn -0.6994 -0.1370 0.7015 +vn -0.7076 -0.1438 0.6918 +vn -0.8986 -0.4386 0.0116 +vn -0.8993 -0.4370 0.0193 +vn -0.0906 0.2415 0.9662 +vn -0.1018 0.2362 0.9664 +vn 0.5652 0.4782 0.6722 +vn 0.5628 0.4780 0.6744 +vn 0.8969 0.4422 -0.0047 +vn 0.8976 0.4406 -0.0121 +vn 0.7147 0.1525 -0.6826 +vn 0.7067 0.1457 -0.6923 +vn 0.1122 -0.2288 -0.9670 +vn 0.1009 -0.2342 -0.9669 +vn -0.5613 -0.4757 -0.6772 +vn -0.5638 -0.4760 -0.6750 +vn -0.7269 -0.1347 0.6734 +vn -0.9263 -0.3764 -0.0156 +vn -0.1004 0.1895 0.9767 +vn 0.5922 0.4043 0.6971 +vn 0.9271 0.3747 -0.0064 +vn 0.7020 0.1205 -0.7019 +vn 0.0670 -0.2004 -0.9774 +vn -0.5999 -0.4026 -0.6913 +vn -0.7507 -0.0877 0.6548 +vn -0.9805 -0.1897 -0.0518 +vn -0.0803 0.0678 0.9945 +vn 0.6538 0.1859 0.7334 +vn 0.9820 0.1887 0.0109 +vn 0.7032 0.0764 -0.7069 +vn 0.0205 -0.0773 -0.9968 +vn -0.6645 -0.1851 -0.7240 +vn -0.7469 -0.0320 0.6641 +vn -0.9988 0.0119 -0.0482 +vn -0.0545 -0.0573 0.9969 +vn 0.6774 -0.0480 0.7341 +vn 0.9997 -0.0088 0.0246 +vn 0.7175 0.0361 -0.6957 +vn 0.0172 0.0596 -0.9981 +vn -0.6844 0.0493 -0.7274 +vn -0.7137 -0.0232 0.7000 +vn -0.9998 0.0030 -0.0186 +vn -0.0155 -0.0345 0.9993 +vn 0.6829 -0.0254 0.7300 +vn 0.9986 -0.0016 0.0533 +vn 0.7502 0.0241 -0.6607 +vn 0.0566 0.0370 -0.9977 +vn -0.6796 0.0286 -0.7330 +vn -0.7021 -0.0390 0.7110 +vn -0.9786 -0.2058 0.0043 +vn -0.0260 0.1468 0.9888 +vn 0.6551 0.2490 0.7133 +vn 0.9755 0.2149 0.0466 +vn 0.7547 0.0611 -0.6532 +vn 0.0878 -0.1314 -0.9874 +vn -0.6492 -0.2466 -0.7195 +vn -0.7067 -0.0603 0.7050 +vn -0.9148 -0.4016 0.0426 +vn -0.0897 0.3108 0.9462 +vn 0.5707 0.5023 0.6496 +vn 0.9107 0.4130 -0.0104 +vn 0.7361 0.0885 -0.6711 +vn 0.1260 -0.2931 -0.9477 +vn -0.5680 -0.5014 -0.6527 +vn -0.7190 -0.0812 0.6902 +vn -0.8791 -0.4737 0.0526 +vn -0.1370 0.3597 0.9230 +vn 0.5245 0.5896 0.6142 +vn 0.8784 0.4748 -0.0545 +vn 0.7171 0.0817 -0.6922 +vn 0.1348 -0.3589 -0.9236 +vn -0.5254 -0.5883 -0.6147 +vn -0.7273 -0.0901 0.6803 +vn -0.8792 -0.4745 0.0422 +vn -0.1465 0.3519 0.9245 +vn 0.5254 0.5865 0.6165 +vn 0.8811 0.4686 -0.0630 +vn 0.7089 0.0722 -0.7016 +vn 0.1232 -0.3620 -0.9240 +vn -0.5283 -0.5847 -0.6156 +vn 0.1431 -0.7308 0.6674 +vn -0.1264 -0.9920 0.0004 +vn 0.3281 -0.0414 0.9437 +vn 0.3202 0.6723 0.6674 +vn 0.3202 0.6723 0.6675 +vn 0.1240 0.9923 0.0004 +vn -0.1455 0.7311 -0.6666 +vn -0.3305 0.0417 -0.9429 +vn -0.3226 -0.6720 -0.6666 +vn 0.1432 -0.7308 0.6674 +vn 0.3282 -0.0414 0.9437 +vn 0.3203 0.6723 0.6674 +vn 0.1241 0.9923 0.0004 +vn -0.1263 -0.9920 0.0004 +vn -0.1454 0.7311 -0.6666 +vn -0.3304 0.0417 -0.9429 +vn -0.3225 -0.6720 -0.6666 +vn -0.8518 -0.0704 0.5192 +vn -0.8585 -0.0582 0.5096 +vn -0.8840 0.4650 -0.0481 +vn -0.8859 0.4617 -0.0443 +vn -0.3126 -0.5559 0.7702 +vn -0.3288 -0.5474 0.7696 +vn 0.4011 -0.7142 0.5736 +vn 0.3936 -0.7144 0.5785 +vn 0.8830 -0.4663 0.0537 +vn 0.8849 -0.4630 0.0500 +vn 0.8657 0.0480 -0.4983 +vn 0.8594 0.0600 -0.5078 +vn 0.3459 0.5405 -0.7670 +vn 0.3297 0.5492 -0.7679 +vn -0.3847 0.7167 -0.5817 +vn -0.3926 0.7164 -0.5767 +vn -0.8462 -0.0052 0.5329 +vn -0.8417 0.5396 0.0166 +vn -0.3628 -0.5536 0.7496 +vn 0.3455 -0.7792 0.5230 +vn 0.8484 -0.5287 -0.0255 +vn 0.8305 0.0440 -0.5553 +vn 0.3200 0.5831 -0.7467 +vn -0.3659 0.7807 -0.5065 +vn -0.7819 0.0708 0.6194 +vn -0.7147 0.6742 0.1865 +vn -0.4031 -0.5824 0.7059 +vn 0.2267 -0.9005 0.3711 +vn 0.7239 -0.6606 -0.1992 +vn 0.7677 -0.0116 -0.6407 +vn 0.3538 0.6306 -0.6907 +vn -0.2528 0.9031 -0.3471 +vn -0.6929 0.1070 0.7130 +vn -0.5478 0.7540 0.3625 +vn -0.4409 -0.6103 0.6582 +vn 0.0789 -0.9747 0.2091 +vn 0.5554 -0.7438 -0.3719 +vn 0.6900 -0.0584 -0.7214 +vn 0.4127 0.6512 -0.6369 +vn -0.0966 0.9773 -0.1887 +vn -0.6513 0.0914 0.7533 +vn -0.4718 0.7655 0.4376 +vn -0.4481 -0.6370 0.6273 +vn 0.0178 -0.9908 0.1342 +vn 0.4731 -0.7656 -0.4359 +vn 0.6531 -0.0929 -0.7515 +vn 0.4509 0.6357 -0.6266 +vn -0.0156 0.9909 -0.1336 +vn -0.6525 0.0765 0.7539 +vn -0.4768 0.7620 0.4381 +vn -0.4395 -0.6488 0.6212 +vn 0.0261 -0.9910 0.1311 +vn 0.4746 -0.7680 -0.4300 +vn 0.6550 -0.1069 -0.7480 +vn 0.4576 0.6231 -0.6343 +vn -0.0129 0.9898 -0.1420 +vn -0.0042 -0.6982 0.7159 +vn -0.0025 -0.7076 0.7066 +vn 0.0926 -0.9957 0.0039 +vn 0.0922 -0.9957 0.0098 +vn -0.0981 0.0083 0.9951 +vn -0.0970 -0.0044 0.9953 +vn -0.1351 0.7042 0.6970 +vn -0.1354 0.7008 0.7004 +vn -0.0956 0.9954 0.0016 +vn -0.0953 0.9954 -0.0041 +vn -0.0018 0.7165 -0.6976 +vn -0.0001 0.7074 -0.7068 +vn 0.0932 0.0170 -0.9955 +vn 0.0944 0.0042 -0.9955 +vn 0.1329 -0.6975 -0.7042 +vn 0.1326 -0.7010 -0.7007 +vn -0.0297 -0.7217 0.6916 +vn 0.0195 -0.9998 -0.0096 +vn -0.0631 -0.0207 0.9978 +vn -0.0604 0.7000 0.7116 +vn -0.0217 0.9997 -0.0070 +vn 0.0292 0.6956 -0.7179 +vn 0.0611 -0.0152 -0.9980 +vn 0.0566 -0.7099 -0.7021 +vn -0.1014 -0.7231 0.6832 +vn -0.1661 -0.9860 -0.0172 +vn 0.0223 -0.0374 0.9991 +vn 0.1342 0.6837 0.7174 +vn 0.1630 0.9866 -0.0106 +vn 0.0911 0.6832 -0.7245 +vn -0.0337 -0.0161 -0.9993 +vn -0.1384 -0.6967 -0.7039 +vn -0.1695 -0.6985 0.6952 +vn -0.3492 -0.9371 0.0012 +vn 0.1104 -0.0506 0.9926 +vn 0.3270 0.6348 0.7001 +vn 0.3454 0.9383 -0.0185 +vn 0.1544 0.6742 -0.7222 +vn -0.1256 0.0159 -0.9919 +vn -0.3310 -0.6439 -0.6898 +vn -0.1826 -0.6681 0.7213 +vn -0.3806 -0.9244 0.0233 +vn 0.1201 -0.0227 0.9925 +vn 0.3511 0.6319 0.6910 +vn 0.3805 0.9248 -0.0051 +vn 0.1898 0.6861 -0.7023 +vn -0.1148 0.0424 -0.9925 +vn -0.3532 -0.6298 -0.6918 +vn -0.1681 -0.6659 0.7269 +vn -0.2720 -0.9621 0.0207 +vn 0.0319 0.0149 0.9994 +vn 0.2112 0.6813 0.7009 +vn 0.2705 0.9627 0.0073 +vn 0.1754 0.6973 -0.6950 +vn -0.0243 0.0206 -0.9995 +vn -0.2125 -0.6767 -0.7050 +vn -0.1584 -0.6757 0.7200 +vn -0.1623 -0.9866 0.0165 +vn -0.0626 0.0277 0.9977 +vn 0.0681 0.7113 0.6996 +vn 0.1590 0.9873 0.0010 +vn 0.1578 0.6945 -0.7019 +vn 0.0634 -0.0085 -0.9980 +vn -0.0700 -0.7102 -0.7005 +vn -0.1574 -0.6856 0.7108 +vn -0.1247 -0.9921 0.0103 +vn -0.0985 0.0230 0.9949 +vn 0.0174 0.7181 0.6957 +vn 0.1224 0.9924 -0.0112 +vn 0.1549 0.6852 -0.7117 +vn 0.0960 -0.0234 -0.9951 +vn -0.0198 -0.7178 -0.6959 +vn -0.1576 -0.6911 0.7054 +vn -0.1257 -0.9920 0.0049 +vn -0.0978 0.0171 0.9951 +vn 0.0194 0.7176 0.6962 +vn 0.1244 0.9921 -0.0163 +vn 0.1549 0.6795 -0.7171 +vn 0.0939 -0.0289 -0.9952 +vn -0.0220 -0.7178 -0.6959 +vn -0.3767 0.5910 0.7133 +vn -0.3821 0.5965 0.7058 +vn -0.6288 0.7776 0.0042 +vn -0.6285 0.7777 0.0085 +vn 0.0960 0.0576 0.9937 +vn 0.0892 0.0661 0.9938 +vn 0.5102 -0.5052 0.6960 +vn 0.5086 -0.5023 0.6993 +vn 0.6308 -0.7759 -0.0002 +vn 0.6306 -0.7761 -0.0045 +vn 0.3893 -0.6006 -0.6984 +vn 0.3839 -0.5952 -0.7060 +vn -0.0805 -0.0734 -0.9940 +vn -0.0874 -0.0648 -0.9941 +vn -0.5051 0.5008 -0.7029 +vn -0.5068 0.5038 -0.6996 +vn -0.3672 0.6209 0.6926 +vn -0.5788 0.8154 -0.0078 +vn 0.0609 0.0637 0.9961 +vn 0.4572 -0.5355 0.7101 +vn 0.5803 -0.8144 -0.0043 +vn 0.3552 -0.6032 -0.7142 +vn -0.0768 -0.0372 -0.9964 +vn -0.4596 0.5453 -0.7010 +vn -0.3132 0.6641 0.6789 +vn -0.4235 0.9056 -0.0230 +vn -0.0193 0.0344 0.9992 +vn 0.2927 -0.6284 0.7207 +vn 0.4255 -0.9049 -0.0080 +vn 0.2967 -0.6239 -0.7230 +vn -0.0030 0.0178 -0.9998 +vn -0.2965 0.6411 -0.7078 +vn -0.2451 0.6789 0.6921 +vn -0.2500 0.9682 -0.0079 +vn -0.0964 -0.0092 0.9953 +vn 0.1112 -0.6968 0.7086 +vn 0.2532 -0.9674 -0.0058 +vn 0.2433 -0.6550 -0.7153 +vn 0.0904 0.0417 -0.9950 +vn -0.1123 0.7063 -0.6990 +vn -0.2126 0.6508 0.7289 +vn -0.2807 0.9595 0.0224 +vn -0.0212 -0.0292 0.9993 +vn 0.1802 -0.6837 0.7072 +vn 0.2823 -0.9590 0.0239 +vn 0.2268 -0.6956 -0.6817 +vn 0.0377 -0.0159 -0.9992 +vn -0.1763 0.6840 -0.7078 +vn -0.2068 0.6417 0.7386 +vn -0.4967 0.8663 0.0538 +vn 0.1942 0.0549 0.9794 +vn 0.4832 -0.5533 0.6785 +vn 0.5099 -0.8602 0.0089 +vn 0.2544 -0.6933 -0.6743 +vn -0.1565 -0.1153 -0.9809 +vn -0.4803 0.5509 -0.6825 +vn -0.2149 0.6507 0.7283 +vn -0.6774 0.7269 0.1128 +vn 0.3631 0.1987 0.9103 +vn 0.7310 -0.3584 0.5807 +vn 0.6941 -0.7164 -0.0707 +vn 0.2645 -0.6732 -0.6905 +vn -0.3301 -0.2319 -0.9150 +vn -0.7308 0.3583 -0.5810 +vn -0.2405 0.6627 0.7092 +vn -0.7415 0.6584 0.1295 +vn 0.4023 0.2777 0.8724 +vn 0.8084 -0.2689 0.5237 +vn 0.7417 -0.6576 -0.1318 +vn 0.2397 -0.6606 -0.7115 +vn -0.4026 -0.2754 -0.8730 +vn -0.8076 0.2699 -0.5243 +vn -0.2561 0.6679 0.6988 +vn -0.7445 0.6574 0.1161 +vn 0.3900 0.2848 0.8757 +vn 0.8059 -0.2720 0.5259 +vn 0.7343 -0.6637 -0.1426 +vn 0.2240 -0.6551 -0.7216 +vn -0.4104 -0.2637 -0.8730 +vn -0.8045 0.2740 -0.5269 +vn -0.6409 0.2626 0.7213 +vn -0.6585 0.2654 0.7043 +vn -0.9674 0.2534 0.0013 +vn -0.9662 0.2563 0.0282 +vn 0.0436 0.1195 0.9919 +vn 0.0358 0.1227 0.9918 +vn 0.6993 -0.0882 0.7093 +vn 0.7078 -0.0905 0.7006 +vn 0.9685 -0.2477 0.0249 +vn 0.9681 -0.2507 -0.0014 +vn 0.6771 -0.2654 -0.6864 +vn 0.6593 -0.2627 -0.7045 +vn -0.0266 -0.1229 -0.9921 +vn -0.0350 -0.1195 -0.9922 +vn -0.7159 0.0961 -0.6915 +vn -0.7070 0.0936 -0.7010 +vn -0.7052 0.2010 0.6799 +vn -0.9518 0.3045 -0.0378 +vn -0.0219 -0.0253 0.9994 +vn 0.6811 -0.2373 0.6926 +vn 0.9535 -0.2989 -0.0397 +vn 0.6579 -0.1805 -0.7312 +vn -0.0005 0.0380 -0.9993 +vn -0.6543 0.2350 -0.7188 +vn -0.7724 0.0575 0.6325 +vn -0.9016 0.4323 -0.0187 +vn -0.1608 -0.3658 0.9167 +vn 0.5651 -0.5568 0.6088 +vn 0.9175 -0.3901 -0.0780 +vn 0.7194 0.0002 -0.6946 +vn 0.1299 0.3823 -0.9149 +vn -0.5258 0.5575 -0.6424 +vn -0.8343 -0.0722 0.5465 +vn -0.8469 0.5271 0.0702 +vn -0.3120 -0.6426 0.6998 +vn 0.4127 -0.8116 0.4134 +vn 0.8717 -0.4736 -0.1255 +vn 0.8051 0.1346 -0.5777 +vn 0.2893 0.6555 -0.6975 +vn -0.3811 0.8157 -0.4353 +vn -0.8499 -0.1455 0.5065 +vn -0.8381 0.5279 0.1377 +vn -0.3638 -0.7309 0.5774 +vn 0.3327 -0.8895 0.3132 +vn 0.8379 -0.5290 -0.1343 +vn 0.8516 0.1441 -0.5040 +vn 0.3651 0.7310 -0.5765 +vn -0.3333 0.8899 -0.3113 +vn -0.8411 -0.1629 0.5157 +vn -0.8472 0.5096 0.1502 +vn -0.3550 -0.7315 0.5822 +vn 0.3264 -0.8880 0.3239 +vn 0.8302 -0.5446 -0.1191 +vn 0.8579 0.1229 -0.4989 +vn 0.3698 0.7246 -0.5816 +vn -0.3452 0.8861 -0.3092 +vn 0.6195 -0.4378 0.6516 +vn 0.5512 -0.8343 0.0005 +vn 0.3242 0.2148 0.9213 +vn -0.1615 0.7412 0.6516 +vn -0.5532 0.8330 0.0005 +vn -0.6215 0.4365 -0.6506 +vn -0.3262 -0.2161 -0.9203 +vn 0.1595 -0.7425 -0.6506 +vn 0.5513 -0.8343 0.0005 +vn 0.3243 0.2148 0.9212 +vn -0.5532 0.8331 0.0005 +vn -0.6214 0.4365 -0.6506 +vn 0.1596 -0.7425 -0.6506 +vn 0.6196 -0.4378 0.6515 +vn 0.5514 -0.8343 0.0004 +vn -0.1614 0.7412 0.6515 +vn -0.5531 0.8331 0.0005 +vn -0.6214 0.4366 -0.6506 +vn -0.3261 -0.2160 -0.9203 +vn 0.1596 -0.7424 -0.6506 +vn -0.0632 0.6933 0.7179 +vn -0.0686 0.7065 0.7043 +vn -0.2439 0.9698 0.0066 +vn -0.2424 0.9700 0.0194 +vn 0.1513 0.0141 0.9884 +vn 0.1479 0.0286 0.9886 +vn 0.2778 -0.6660 0.6923 +vn 0.2783 -0.6646 0.6934 +vn 0.2480 -0.9687 0.0055 +vn 0.2467 -0.9691 -0.0069 +vn 0.0765 -0.7189 -0.6908 +vn 0.0712 -0.7060 -0.7046 +vn -0.1418 -0.0430 -0.9890 +vn -0.1453 -0.0280 -0.9890 +vn -0.2759 0.6639 -0.6950 +vn -0.2755 0.6653 -0.6939 +vn -0.0632 0.7272 0.6835 +vn -0.1586 0.9871 -0.0202 +vn 0.0725 0.0357 0.9967 +vn 0.1673 -0.6858 0.7083 +vn 0.1596 -0.9870 -0.0160 +vn 0.0568 -0.6882 -0.7233 +vn -0.0758 0.0072 -0.9971 +vn -0.1630 0.6900 -0.7052 +vn -0.0342 0.7406 0.6711 +vn 0.0734 0.9970 -0.0237 +vn -0.1240 0.0432 0.9913 +vn -0.1379 -0.7002 0.7005 +vn -0.0630 -0.9973 -0.0384 +vn 0.0494 -0.6759 -0.7353 +vn 0.1311 0.0251 -0.9911 +vn 0.1401 0.7029 -0.6973 +vn -0.0112 0.7242 0.6895 +vn 0.2975 0.9539 0.0384 +vn -0.3184 0.0641 0.9458 +vn -0.4355 -0.6432 0.6298 +vn -0.2837 -0.9560 -0.0742 +vn 0.0390 -0.6867 -0.7259 +vn 0.3331 -0.0217 -0.9426 +vn 0.4363 0.6461 -0.6263 +vn -0.0128 0.6806 0.7326 +vn 0.3095 0.9470 0.0857 +vn -0.3220 0.0241 0.9464 +vn -0.4463 -0.6392 0.6263 +vn -0.3205 -0.9462 -0.0447 +vn -0.0083 -0.7150 -0.6990 +vn 0.3150 -0.0550 -0.9475 +vn 0.4493 0.6435 -0.6197 +vn 0.0240 0.6593 0.7515 +vn 0.1467 0.9870 0.0653 +vn -0.1089 -0.0366 0.9934 +vn -0.1798 -0.7055 0.6856 +vn -0.1515 -0.9885 0.0011 +vn -0.0369 -0.7196 -0.6934 +vn 0.1032 -0.0169 -0.9945 +vn 0.1824 0.7114 -0.6787 +vn 0.0693 0.6689 0.7401 +vn -0.0193 0.9985 0.0506 +vn 0.1165 -0.0420 0.9923 +vn 0.0984 -0.7229 0.6840 +vn 0.0258 -0.9996 -0.0088 +vn -0.0621 -0.7063 -0.7052 +vn -0.1145 0.0115 -0.9934 +vn -0.0971 0.7285 -0.6781 +vn 0.0828 0.6891 0.7199 +vn -0.0814 0.9960 0.0374 +vn 0.1990 -0.0222 0.9798 +vn 0.1991 -0.7197 0.6651 +vn 0.0833 -0.9957 -0.0394 +vn -0.0808 -0.6875 -0.7216 +vn -0.1969 0.0236 -0.9801 +vn -0.1971 0.7197 -0.6658 +vn 0.0792 0.7000 0.7097 +vn -0.0813 0.9964 0.0249 +vn 0.1952 -0.0132 0.9807 +vn 0.1953 -0.7217 0.6640 +vn 0.0786 -0.9956 -0.0515 +vn -0.0831 -0.6764 -0.7318 +vn -0.1941 0.0326 -0.9804 +vn -0.1929 0.7184 -0.6683 +vn -0.5016 0.6771 0.5384 +vn -0.4992 0.6812 0.5355 +vn -0.0491 0.9988 0.0039 +vn -0.0551 0.9984 0.0107 +vn -0.6564 -0.0340 0.7537 +vn -0.6562 -0.0351 0.7538 +vn -0.4320 -0.7261 0.5350 +vn -0.4284 -0.7309 0.5312 +vn 0.0451 -0.9990 0.0046 +vn 0.0510 -0.9987 -0.0022 +vn 0.4987 -0.6853 -0.5308 +vn 0.5012 -0.6811 -0.5337 +vn 0.6581 0.0363 -0.7521 +vn 0.6582 0.0352 -0.7520 +vn 0.4267 0.7359 -0.5256 +vn 0.4304 0.7310 -0.5295 +vn -0.5257 0.6856 0.5035 +vn -0.0450 0.9989 -0.0094 +vn -0.6942 -0.0387 0.7188 +vn -0.4466 -0.7391 0.5042 +vn 0.0643 -0.9979 -0.0069 +vn 0.5347 -0.6741 -0.5097 +vn 0.6963 0.0357 -0.7168 +vn 0.4591 0.7257 -0.5125 +vn -0.5888 0.6835 0.4314 +vn -0.0506 0.9985 -0.0220 +vn -0.7762 -0.0448 0.6289 +vn -0.4947 -0.7450 0.4475 +vn 0.0785 -0.9969 0.0025 +vn 0.6010 -0.6678 -0.4391 +vn 0.7779 0.0408 -0.6270 +vn 0.5122 0.7269 -0.4574 +vn -0.6465 0.6762 0.3533 +vn -0.0615 0.9976 -0.0303 +vn -0.8476 -0.0510 0.5282 +vn -0.5404 -0.7469 0.3873 +vn 0.0850 -0.9962 0.0186 +vn 0.6566 -0.6640 -0.3576 +vn 0.8490 0.0480 -0.5262 +vn 0.5553 0.7331 -0.3927 +vn -0.6720 0.6672 0.3214 +vn -0.0763 0.9967 -0.0285 +vn -0.8737 -0.0524 0.4837 +vn -0.5639 -0.7415 0.3636 +vn 0.0767 -0.9966 0.0312 +vn 0.6728 -0.6675 -0.3190 +vn 0.8748 0.0527 -0.4815 +vn 0.5646 0.7421 -0.3612 +vn -0.6738 0.6638 0.3246 +vn -0.0831 0.9962 -0.0245 +vn -0.8727 -0.0514 0.4855 +vn -0.5674 -0.7372 0.3667 +vn 0.0697 -0.9970 0.0347 +vn 0.6692 -0.6713 -0.3187 +vn 0.8738 0.0535 -0.4834 +vn 0.5597 0.7462 -0.3603 +vn -0.6672 -0.3531 0.6558 +vn -0.6859 -0.3477 0.6392 +vn -0.9946 -0.1021 -0.0198 +vn -0.9936 -0.1127 0.0046 +vn 0.0345 -0.3875 0.9212 +vn 0.0243 -0.3877 0.9215 +vn 0.7110 -0.2056 0.6724 +vn 0.7182 -0.2010 0.6661 +vn 0.9946 0.0939 0.0445 +vn 0.9943 0.1043 0.0209 +vn 0.7046 0.3443 -0.6205 +vn 0.6858 0.3500 -0.6381 +vn -0.0136 0.3906 -0.9205 +vn -0.0245 0.3904 -0.9203 +vn -0.7263 0.1988 -0.6581 +vn -0.7186 0.2036 -0.6649 +vn -0.7101 -0.3922 0.5847 +vn -0.9994 -0.0269 -0.0204 +vn 0.0174 -0.5261 0.8503 +vn 0.7416 -0.3301 0.5840 +vn 0.9967 0.0695 -0.0424 +vn 0.6550 0.4203 -0.6279 +vn -0.0483 0.5285 -0.8475 +vn -0.7199 0.3470 -0.6010 +vn -0.7277 -0.4862 0.4838 +vn -0.9914 0.1018 0.0819 +vn -0.0075 -0.7970 0.6040 +vn 0.7309 -0.5950 0.3344 +vn 0.9896 -0.0172 -0.1428 +vn 0.6543 0.5508 -0.5182 +vn -0.0346 0.8010 -0.5976 +vn -0.7001 0.6196 -0.3550 +vn -0.7462 -0.5574 0.3638 +vn -0.9583 0.1643 0.2338 +vn -0.0752 -0.9585 0.2750 +vn 0.6510 -0.7589 0.0125 +vn 0.9632 -0.0881 -0.2539 +vn 0.6966 0.6181 -0.3641 +vn 0.0444 0.9625 -0.2675 +vn -0.6271 0.7785 -0.0249 +vn -0.7386 -0.6023 0.3027 +vn -0.9425 0.1381 0.3043 +vn -0.1025 -0.9870 0.1239 +vn 0.5914 -0.7965 -0.1258 +vn 0.9428 -0.1407 -0.3022 +vn 0.7409 0.6003 -0.3012 +vn 0.1040 0.9869 -0.1230 +vn -0.5919 0.7959 0.1273 +vn -0.7243 -0.6195 0.3025 +vn -0.9453 0.1148 0.3052 +vn -0.0921 -0.9875 0.1277 +vn 0.5868 -0.8013 -0.1166 +vn 0.9411 -0.1625 -0.2967 +vn 0.7538 0.5815 -0.3061 +vn 0.1116 0.9851 -0.1307 +vn -0.6009 0.7894 0.1256 +vn 0.7022 -0.0177 0.7117 +vn 0.7072 -0.0180 0.7068 +vn 0.9993 -0.0382 -0.0005 +vn 0.9993 -0.0381 0.0057 +vn -0.0029 0.0123 0.9999 +vn 0.0008 0.0121 0.9999 +vn -0.7048 0.0343 0.7086 +vn -0.7060 0.0343 0.7074 +vn -0.9993 0.0358 0.0067 +vn -0.9994 0.0356 0.0005 +vn -0.7122 0.0156 -0.7018 +vn -0.7073 0.0154 -0.7068 +vn -0.0046 -0.0145 -0.9999 +vn -0.0009 -0.0147 -0.9999 +vn 0.7071 -0.0369 -0.7061 +vn 0.7059 -0.0369 -0.7074 +vn 0.7144 -0.0087 0.6997 +vn 0.9982 -0.0599 -0.0083 +vn 0.0076 0.0471 0.9989 +vn -0.7058 0.0742 0.7045 +vn -0.9984 0.0565 -0.0088 +vn -0.7008 0.0046 -0.7134 +vn 0.0026 -0.0505 -0.9987 +vn 0.7022 -0.0770 -0.7078 +vn 0.7251 0.0293 0.6880 +vn 0.9930 -0.1178 -0.0121 +vn 0.0214 0.1601 0.9869 +vn -0.6997 0.1937 0.6877 +vn -0.9937 0.1092 -0.0255 +vn -0.6982 -0.0393 -0.7148 +vn -0.0048 -0.1644 -0.9864 +vn 0.6885 -0.1966 -0.6981 +vn 0.7242 0.0723 0.6858 +vn 0.9849 -0.1728 0.0094 +vn 0.0343 0.2753 0.9608 +vn -0.6781 0.3142 0.6644 +vn -0.9859 0.1650 -0.0276 +vn -0.7100 -0.0817 -0.6994 +vn -0.0239 -0.2797 -0.9598 +vn 0.6733 -0.3171 -0.6679 +vn 0.6957 0.0387 0.7172 +vn 0.9849 -0.1677 0.0437 +vn 0.0141 0.2198 0.9754 +vn -0.6738 0.2764 0.6853 +vn -0.9844 0.1757 0.0041 +vn -0.7242 -0.0302 -0.6889 +vn -0.0239 -0.2217 -0.9748 +vn 0.6928 -0.2786 -0.6651 +vn 0.6702 -0.0949 0.7361 +vn 0.9910 -0.1242 0.0490 +vn -0.0230 -0.0133 0.9996 +vn -0.7015 0.0747 0.7087 +vn -0.9925 0.1209 0.0183 +vn -0.7120 0.0970 -0.6955 +vn 0.0078 0.0127 -0.9999 +vn 0.7269 -0.0807 -0.6820 +vn 0.6631 -0.2299 0.7124 +vn 0.9957 -0.0811 0.0440 +vn -0.0430 -0.2467 0.9681 +vn -0.7232 -0.1256 0.6791 +vn -0.9977 0.0671 0.0020 +vn -0.6927 0.2230 -0.6859 +vn 0.0340 0.2460 -0.9687 +vn 0.7418 0.1178 -0.6602 +vn 0.6747 -0.2797 0.6831 +vn 0.9980 -0.0579 0.0247 +vn -0.0441 -0.3379 0.9401 +vn -0.7368 -0.1989 0.6462 +vn -0.9980 0.0562 -0.0272 +vn -0.6737 0.2778 -0.6848 +vn 0.0443 0.3359 -0.9409 +vn 0.7360 0.1971 -0.6477 +vn 0.6837 -0.2754 0.6758 +vn 0.9985 -0.0539 0.0111 +vn -0.0412 -0.3348 0.9414 +vn -0.7423 -0.1938 0.6414 +vn -0.9973 0.0616 -0.0405 +vn -0.6650 0.2779 -0.6932 +vn 0.0467 0.3319 -0.9422 +vn 0.7304 0.1961 -0.6543 +vn -0.8299 0.2402 0.5036 +vn -0.8316 0.2594 0.4911 +vn -0.6356 0.7707 -0.0455 +vn -0.6449 0.7635 -0.0332 +vn -0.5288 -0.4159 0.7399 +vn -0.5385 -0.4038 0.7396 +vn 0.0683 -0.8289 0.5552 +vn 0.0692 -0.8287 0.5554 +vn 0.6277 -0.7762 0.0590 +vn 0.6369 -0.7695 0.0472 +vn 0.8341 -0.2775 -0.4767 +vn 0.8328 -0.2584 -0.4895 +vn 0.5499 0.3923 -0.7374 +vn 0.5399 0.4049 -0.7379 +vn -0.0687 0.8298 -0.5538 +vn -0.0678 0.8300 -0.5536 +vn -0.8329 0.2869 0.4732 +vn -0.5709 0.8210 0.0065 +vn -0.6071 -0.4266 0.6704 +vn -0.0043 -0.8882 0.4595 +vn 0.6009 -0.7985 -0.0362 +vn 0.8346 -0.2276 -0.5016 +vn 0.5823 0.4645 -0.6672 +vn 0.0078 0.8892 -0.4575 +vn -0.8294 0.2985 0.4722 +vn -0.4450 0.8763 0.1845 +vn -0.7341 -0.4709 0.4892 +vn -0.1766 -0.9636 0.2009 +vn 0.4929 -0.8433 -0.2142 +vn 0.8464 -0.2120 -0.4884 +vn 0.7063 0.5247 -0.4753 +vn 0.1796 0.9631 -0.2003 +vn -0.8306 0.2879 0.4766 +vn -0.3411 0.8565 0.3873 +vn -0.8393 -0.4625 0.2859 +vn -0.3313 -0.9398 -0.0836 +vn 0.3829 -0.8327 -0.4000 +vn 0.8541 -0.2240 -0.4694 +vn 0.8228 0.5021 -0.2664 +vn 0.3330 0.9393 0.0831 +vn -0.8445 0.2555 0.4707 +vn -0.3234 0.8183 0.4752 +vn -0.8690 -0.4569 0.1900 +vn -0.3859 -0.9005 -0.2004 +vn 0.3225 -0.8197 -0.4734 +vn 0.8443 -0.2585 -0.4695 +vn 0.8702 0.4549 -0.1893 +vn 0.3863 0.9001 0.2016 +vn -0.8519 0.2373 0.4668 +vn -0.3376 0.8125 0.4752 +vn -0.8630 -0.4693 0.1873 +vn -0.3841 -0.9025 -0.1950 +vn 0.3116 -0.8274 -0.4672 +vn 0.8363 -0.2765 -0.4734 +vn 0.8734 0.4444 -0.1990 +vn 0.3841 0.9018 0.1979 +vn -0.6726 -0.1720 0.7197 +vn -0.6847 -0.1771 0.7070 +vn -0.9465 -0.3227 0.0020 +vn -0.9466 -0.3221 0.0141 +vn -0.0082 0.0775 0.9970 +vn -0.0212 0.0734 0.9971 +vn 0.6545 0.2809 0.7020 +vn 0.6534 0.2812 0.7029 +vn 0.9454 0.3258 0.0095 +vn 0.9456 0.3253 -0.0021 +vn 0.6957 0.1845 -0.6942 +vn 0.6839 0.1796 -0.7071 +vn 0.0338 -0.0665 -0.9972 +vn 0.0204 -0.0708 -0.9973 +vn -0.6532 -0.2787 -0.7041 +vn -0.6543 -0.2785 -0.7031 +vn -0.7044 -0.1737 0.6882 +vn -0.9694 -0.2451 -0.0172 +vn -0.0214 0.0023 0.9998 +vn 0.6821 0.1803 0.7087 +vn 0.9685 0.2485 -0.0164 +vn 0.6685 0.1673 -0.7247 +vn -0.0174 -0.0087 -0.9998 +vn -0.6858 -0.1769 -0.7060 +vn -0.7201 -0.1360 0.6804 +vn -0.9997 -0.0251 -0.0050 +vn -0.0143 -0.1695 0.9854 +vn 0.7185 -0.0982 0.6885 +vn 0.9982 0.0365 -0.0472 +vn 0.6584 0.1467 -0.7383 +vn -0.0538 0.1698 -0.9840 +vn -0.7259 0.0991 -0.6806 +vn -0.7065 -0.1000 0.7006 +vn -0.9795 0.1927 0.0590 +vn -0.0130 -0.3387 0.9408 +vn 0.6965 -0.3740 0.6124 +vn 0.9796 -0.1790 -0.0913 +vn 0.6689 0.1226 -0.7331 +vn -0.0276 0.3482 -0.9370 +vn -0.6995 0.3747 -0.6085 +vn -0.6749 -0.1407 0.7244 +vn -0.9810 0.1754 0.0829 +vn 0.0253 -0.3680 0.9295 +vn 0.7011 -0.3815 0.6024 +vn 0.9817 -0.1809 -0.0599 +vn 0.7096 0.1243 -0.6935 +vn 0.0203 0.3624 -0.9318 +vn -0.6895 0.3867 -0.6125 +vn -0.6684 -0.2109 0.7133 +vn -0.9982 -0.0555 0.0214 +vn 0.0445 -0.2382 0.9702 +vn 0.7209 -0.1312 0.6805 +vn 0.9987 0.0481 0.0184 +vn 0.7247 0.2026 -0.6586 +vn 0.0269 0.2441 -0.9694 +vn -0.7054 0.1381 -0.6952 +vn -0.6684 -0.2789 0.6896 +vn -0.9581 -0.2845 -0.0317 +vn 0.0113 -0.1090 0.9940 +vn 0.6754 0.1211 0.7275 +vn 0.9576 0.2830 0.0543 +vn 0.7001 0.2866 -0.6540 +vn 0.0318 0.1237 -0.9918 +vn -0.6646 -0.1157 -0.7382 +vn -0.6754 -0.3121 0.6681 +vn -0.9287 -0.3672 -0.0517 +vn -0.0257 -0.0733 0.9970 +vn 0.6384 0.2089 0.7408 +vn 0.9279 0.3693 0.0510 +vn 0.6734 0.3140 -0.6693 +vn 0.0233 0.0749 -0.9969 +vn -0.6396 -0.2072 -0.7403 +vn -0.6849 -0.3138 0.6577 +vn -0.9299 -0.3631 -0.0579 +vn -0.0378 -0.0799 0.9961 +vn 0.6363 0.2042 0.7439 +vn 0.9293 0.3668 0.0439 +vn 0.6645 0.3099 -0.6800 +vn 0.0102 0.0717 -0.9974 +vn -0.6442 -0.2048 -0.7369 +vn -0.2822 -0.6911 0.6653 +vn -0.6559 -0.7549 0.0004 +vn 0.2562 -0.2221 0.9408 +vn 0.6440 0.3775 0.6653 +vn 0.6540 0.7565 0.0004 +vn 0.2803 0.6928 -0.6645 +vn 0.2803 0.6927 -0.6645 +vn -0.2581 0.2237 -0.9399 +vn -0.6459 -0.3759 -0.6645 +vn -0.2822 -0.6912 0.6653 +vn -0.6558 -0.7549 0.0004 +vn 0.2563 -0.2221 0.9407 +vn 0.6441 0.3775 0.6653 +vn 0.6541 0.7564 0.0004 +vn 0.2804 0.6927 -0.6645 +vn -0.2580 0.2236 -0.9399 +vn -0.6458 -0.3760 -0.6645 +vn -0.2821 -0.6912 0.6653 +vn -0.6558 -0.7550 0.0004 +vn 0.2563 -0.2222 0.9407 +vn 0.2805 0.6927 -0.6645 +vn -0.8031 -0.2020 0.5606 +vn -0.8095 -0.1951 0.5538 +vn -0.9602 0.2779 -0.0287 +vn -0.9610 0.2753 -0.0253 +vn -0.1724 -0.5567 0.8126 +vn -0.1839 -0.5534 0.8124 +vn 0.5536 -0.5857 0.5920 +vn 0.5493 -0.5866 0.5951 +vn 0.9598 -0.2786 0.0335 +vn 0.9607 -0.2761 0.0301 +vn 0.8162 0.1900 -0.5456 +vn 0.8100 0.1968 -0.5525 +vn 0.1960 0.5517 -0.8107 +vn 0.1844 0.5551 -0.8111 +vn -0.5443 0.5894 -0.5969 +vn -0.5488 0.5885 -0.5938 +vn -0.8100 -0.1612 0.5639 +vn -0.9424 0.3345 0.0081 +vn -0.2057 -0.5670 0.7976 +vn 0.5269 -0.6392 0.5602 +vn 0.9454 -0.3256 -0.0162 +vn 0.7932 0.1836 -0.5806 +vn 0.1745 0.5799 -0.7958 +vn -0.5384 0.6386 -0.5498 +vn -0.7963 -0.1142 0.5940 +vn -0.8856 0.4525 0.1049 +vn -0.2410 -0.6226 0.7445 +vn 0.4691 -0.7617 0.4471 +vn 0.8931 -0.4318 -0.1262 +vn 0.7719 0.1562 -0.6163 +vn 0.2016 0.6440 -0.7380 +vn -0.4764 0.7615 -0.4394 +vn -0.7669 -0.0913 0.6353 +vn -0.8111 0.5410 0.2222 +vn -0.2763 -0.6760 0.6832 +vn 0.3838 -0.8642 0.3253 +vn 0.8158 -0.5303 -0.2308 +vn 0.7545 0.1225 -0.6448 +vn 0.2493 0.6957 -0.6737 +vn -0.3938 0.8636 -0.3149 +vn -0.7018 -0.0726 0.7086 +vn -0.7771 0.5574 0.2922 +vn -0.2278 -0.6562 0.7193 +vn 0.3749 -0.8686 0.3241 +vn 0.7683 -0.5850 -0.2596 +vn 0.7149 0.0477 -0.6976 +vn 0.2287 0.6582 -0.7172 +vn -0.3958 0.8678 -0.3003 +vn -0.6113 0.0014 0.7914 +vn -0.7835 0.5472 0.2944 +vn -0.0963 -0.5385 0.8371 +vn 0.4720 -0.7771 0.4162 +vn 0.7788 -0.5782 -0.2432 +vn 0.6356 -0.0375 -0.7711 +vn 0.1038 0.5353 -0.8383 +vn -0.4937 0.7790 -0.3864 +vn -0.5265 0.1075 0.8433 +vn -0.7866 0.5484 0.2836 +vn 0.0308 -0.3907 0.9200 +vn 0.5712 -0.6678 0.4773 +vn 0.7892 -0.5640 -0.2430 +vn 0.5444 -0.1256 -0.8294 +vn -0.0320 0.3931 -0.9189 +vn -0.5876 0.6728 -0.4495 +vn -0.4950 0.1650 0.8531 +vn -0.7843 0.5610 0.2647 +vn 0.0846 -0.3270 0.9412 +vn 0.6151 -0.6270 0.4781 +vn 0.7855 -0.5589 -0.2658 +vn 0.4955 -0.1628 -0.8532 +vn -0.0834 0.3284 -0.9409 +vn -0.6133 0.6283 -0.4787 +vn -0.5018 0.1686 0.8484 +vn -0.7855 0.5651 0.2524 +vn 0.0833 -0.3299 0.9403 +vn 0.6187 -0.6302 0.4692 +vn 0.7845 -0.5544 -0.2778 +vn 0.4920 -0.1555 -0.8566 +vn -0.0805 0.3307 -0.9403 +vn -0.6070 0.6285 -0.4863 +vn -0.6941 0.1934 0.6935 +vn -0.8935 0.4492 0.0002 +vn -0.8935 0.4491 0.0002 +vn -0.0878 -0.1751 0.9806 +vn 0.5701 -0.4405 0.6935 +vn 0.5702 -0.4405 0.6935 +vn 0.8944 -0.4472 0.0002 +vn 0.6950 -0.1914 -0.6930 +vn 0.0888 0.1771 -0.9802 +vn -0.5692 0.4424 -0.6930 +vn -0.6941 0.1933 0.6935 +vn -0.0878 -0.1752 0.9806 +vn 0.5701 -0.4405 0.6934 +vn 0.8944 -0.4473 0.0002 +vn 0.6950 -0.1915 -0.6930 +vn 0.0888 0.1770 -0.9802 +vn -0.6941 0.1933 0.6934 +vn 0.5701 -0.4406 0.6934 +vn 0.6950 -0.1915 -0.6931 +vn -0.5692 0.4423 -0.6931 +vn -0.5827 -0.4377 0.6847 +vn -0.6046 -0.4394 0.6644 +vn -0.9355 -0.3524 -0.0237 +vn -0.9329 -0.3601 0.0022 +vn 0.0957 -0.2622 0.9603 +vn 0.0808 -0.2666 0.9604 +vn 0.7121 0.0571 0.6998 +vn 0.7158 0.0615 0.6956 +vn 0.9364 0.3473 0.0494 +vn 0.9345 0.3550 0.0247 +vn 0.6256 0.4432 -0.6420 +vn 0.6038 0.4418 -0.6635 +vn -0.0657 0.2745 -0.9593 +vn -0.0818 0.2696 -0.9595 +vn -0.7211 -0.0629 -0.6900 +vn -0.7170 -0.0583 -0.6946 +vn -0.6266 -0.4733 0.6191 +vn -0.9681 -0.2499 -0.0200 +vn 0.1010 -0.4153 0.9040 +vn 0.7764 -0.0932 0.6233 +vn 0.9572 0.2852 -0.0485 +vn 0.5576 0.4853 -0.6734 +vn -0.1482 0.4074 -0.9012 +vn -0.7652 0.1089 -0.6345 +vn -0.6328 -0.5326 0.5620 +vn -0.9921 -0.0457 0.1169 +vn 0.1238 -0.7170 0.6860 +vn 0.8216 -0.4372 0.3657 +vn 0.9742 0.1243 -0.1883 +vn 0.5340 0.5893 -0.6063 +vn -0.1893 0.7135 -0.6746 +vn -0.8041 0.4559 -0.3815 +vn -0.6362 -0.5877 0.4998 +vn -0.9416 0.0835 0.3262 +vn 0.0610 -0.9247 0.3759 +vn 0.7318 -0.6814 0.0121 +vn 0.9348 -0.0083 -0.3551 +vn 0.5700 0.6518 -0.5002 +vn -0.1077 0.9269 -0.3595 +vn -0.7188 0.6948 -0.0244 +vn -0.6178 -0.6360 0.4624 +vn -0.9009 0.0778 0.4270 +vn 0.0275 -0.9737 0.2260 +vn 0.6538 -0.7436 -0.1399 +vn 0.9018 -0.0801 -0.4247 +vn 0.6208 0.6341 -0.4610 +vn -0.0253 0.9739 -0.2257 +vn -0.6539 0.7433 0.1411 +vn -0.5996 -0.6546 0.4604 +vn -0.9014 0.0537 0.4297 +vn 0.0425 -0.9731 0.2266 +vn 0.6537 -0.7455 -0.1300 +vn 0.9039 -0.1009 -0.4157 +vn 0.6377 0.6136 -0.4657 +vn -0.0139 0.9716 -0.2363 +vn -0.6604 0.7379 0.1395 +vn -0.5631 0.5077 0.6520 +vn -0.9339 0.3575 -0.0004 +vn 0.1378 0.3610 0.9223 +vn 0.7582 0.0034 0.6520 +vn 0.9346 -0.3557 -0.0004 +vn 0.9346 -0.3556 -0.0004 +vn 0.5638 -0.5058 -0.6529 +vn -0.1371 -0.3592 -0.9231 +vn -0.7575 -0.0016 -0.6529 +vn -0.5631 0.5077 0.6521 +vn 0.7582 0.0034 0.6521 +vn 0.5638 -0.5059 -0.6529 +vn -0.5631 0.5076 0.6521 +vn -0.9339 0.3574 -0.0004 +vn 0.1378 0.3609 0.9224 +vn 0.7582 0.0033 0.6521 +vn 0.5637 -0.5060 -0.6529 +vn -0.1371 -0.3593 -0.9231 +vn -0.7575 -0.0017 -0.6529 +vn 0.6428 -0.2506 0.7239 +vn 0.6601 -0.2588 0.7052 +vn 0.9213 -0.3888 -0.0055 +vn 0.9216 -0.3877 0.0213 +vn 0.0014 0.0273 0.9996 +vn 0.0116 0.0218 0.9997 +vn -0.6349 0.2867 0.7175 +vn -0.6418 0.2880 0.7107 +vn -0.9215 0.3870 0.0316 +vn -0.9224 0.3862 0.0057 +vn -0.6787 0.2645 -0.6851 +vn -0.6613 0.2563 -0.7049 +vn -0.0240 -0.0189 -0.9995 +vn -0.0130 -0.0248 -0.9996 +vn 0.6479 -0.2928 -0.7032 +vn 0.6406 -0.2911 -0.7106 +vn 0.7090 -0.2220 0.6694 +vn 0.8873 -0.4601 -0.0326 +vn 0.0952 0.1543 0.9834 +vn -0.5861 0.4374 0.6821 +vn -0.8949 0.4443 -0.0421 +vn -0.6652 0.1846 -0.7235 +vn -0.0663 -0.1748 -0.9824 +vn 0.5635 -0.4362 -0.7016 +vn 0.7784 -0.1335 0.6134 +vn 0.7924 -0.6095 0.0244 +vn 0.2873 0.4416 0.8500 +vn -0.4018 0.7408 0.5383 +vn -0.8214 0.5591 -0.1126 +vn -0.7383 0.0515 -0.6725 +vn -0.2492 -0.4720 -0.8456 +vn 0.3694 -0.7388 -0.5636 +vn 0.8423 -0.0554 0.5362 +vn 0.6955 -0.7008 0.1587 +vn 0.4822 0.6409 0.5972 +vn -0.1877 0.9408 0.2824 +vn -0.7335 0.6480 -0.2049 +vn -0.8289 -0.0224 -0.5590 +vn -0.4560 -0.6655 -0.5910 +vn 0.1623 -0.9401 -0.2997 +vn 0.8662 0.0032 0.4997 +vn 0.6771 -0.6952 0.2414 +vn 0.5465 0.6971 0.4641 +vn -0.0901 0.9831 0.1596 +vn -0.6766 0.6967 -0.2383 +vn -0.8675 -0.0007 -0.4974 +vn -0.5480 -0.6964 -0.4633 +vn 0.0904 -0.9833 -0.1579 +vn 0.8624 0.0255 0.5055 +vn 0.6910 -0.6781 0.2504 +vn 0.5363 0.7026 0.4678 +vn -0.0865 0.9817 0.1699 +vn -0.6656 0.7115 -0.2251 +vn -0.8686 0.0235 -0.4950 +vn -0.5531 -0.6878 -0.4701 +vn 0.1010 -0.9823 -0.1575 +vn -0.4340 0.5398 0.7213 +vn -0.4436 0.5555 0.7033 +vn -0.5793 0.8151 -0.0065 +vn -0.5807 0.8139 0.0189 +vn -0.0412 -0.0387 0.9984 +vn -0.0469 -0.0290 0.9985 +vn 0.3715 -0.5899 0.7169 +vn 0.3765 -0.5944 0.7106 +vn 0.5797 -0.8142 0.0314 +vn 0.5815 -0.8135 0.0068 +vn 0.4553 -0.5697 -0.6842 +vn 0.4458 -0.5540 -0.7031 +vn 0.0557 0.0204 -0.9982 +vn 0.0495 0.0307 -0.9983 +vn -0.3791 0.6011 -0.7036 +vn -0.3740 0.5962 -0.7104 +vn -0.4998 0.5511 0.6682 +vn -0.5152 0.8566 -0.0302 +vn -0.1798 -0.0939 0.9792 +vn 0.2571 -0.6870 0.6796 +vn 0.5304 -0.8468 -0.0402 +vn 0.4838 -0.4984 -0.7194 +vn 0.1661 0.1251 -0.9781 +vn -0.2396 0.6751 -0.6977 +vn -0.5978 0.5146 0.6147 +vn -0.3638 0.9311 0.0263 +vn -0.4749 -0.2305 0.8493 +vn -0.0415 -0.8411 0.5393 +vn 0.4119 -0.9046 -0.1096 +vn 0.6056 -0.4282 -0.6707 +vn 0.4587 0.2744 -0.8452 +vn 0.0664 0.8239 -0.5628 +vn -0.6872 0.4823 0.5433 +vn -0.2382 0.9590 0.1536 +vn -0.7316 -0.2984 0.6129 +vn -0.3157 -0.9008 0.2983 +vn 0.2939 -0.9350 -0.1985 +vn 0.7137 -0.4124 -0.5661 +vn 0.7223 0.3317 -0.6068 +vn 0.3356 0.8880 -0.3144 +vn -0.7351 0.4456 0.5109 +vn -0.2238 0.9464 0.2327 +vn -0.8135 -0.3150 0.4888 +vn -0.4181 -0.8898 0.1830 +vn 0.2227 -0.9474 -0.2297 +vn 0.7351 -0.4482 -0.5087 +vn 0.8146 0.3137 -0.4879 +vn 0.4180 0.8901 -0.1814 +vn -0.7428 0.4254 0.5169 +vn -0.2432 0.9394 0.2417 +vn -0.8078 -0.3245 0.4921 +vn -0.4201 -0.8868 0.1928 +vn 0.2069 -0.9541 -0.2166 +vn 0.7243 -0.4686 -0.5058 +vn 0.8144 0.3039 -0.4944 +vn 0.4090 0.8944 -0.1811 +vn -0.1815 0.8309 0.5260 +vn -0.1709 0.8387 0.5170 +vn 0.3424 0.9386 -0.0418 +vn 0.3383 0.9403 -0.0375 +vn -0.5889 0.2311 0.7744 +vn -0.5834 0.2462 0.7740 +vn -0.6516 -0.4962 0.5738 +vn -0.6523 -0.4905 0.5779 +vn -0.3428 -0.9381 0.0489 +vn -0.3389 -0.9398 0.0449 +vn 0.1637 -0.8473 -0.5052 +vn 0.1741 -0.8399 -0.5141 +vn 0.5808 -0.2627 -0.7705 +vn 0.5866 -0.2474 -0.7712 +vn 0.6566 0.4832 -0.5791 +vn 0.6559 0.4893 -0.5749 +vn -0.1266 0.8362 0.5337 +vn 0.4137 0.9103 0.0140 +vn -0.5986 0.2769 0.7517 +vn -0.7186 -0.4559 0.5251 +vn -0.3998 -0.9163 -0.0234 +vn 0.1616 -0.8169 -0.5537 +vn 0.6205 -0.2366 -0.7476 +vn 0.7195 0.4711 -0.5103 +vn -0.0848 0.8170 0.5704 +vn 0.5320 0.8357 0.1364 +vn -0.6620 0.3185 0.6785 +vn -0.8442 -0.3822 0.3758 +vn -0.5053 -0.8483 -0.1580 +vn 0.1349 -0.7970 -0.5887 +vn 0.6872 -0.2830 -0.6691 +vn 0.8457 0.3849 -0.3697 +vn -0.0677 0.7874 0.6127 +vn 0.6054 0.7457 0.2783 +vn -0.7098 0.3737 0.5971 +vn -0.9360 -0.2712 0.2242 +vn -0.5895 -0.7554 -0.2861 +vn 0.1117 -0.7783 -0.6179 +vn 0.7378 -0.3431 -0.5813 +vn 0.9356 0.2831 -0.2110 +vn -0.0323 0.6669 0.7444 +vn 0.6462 0.6193 0.4460 +vn -0.6948 0.3443 0.6314 +vn -0.9709 -0.1798 0.1580 +vn -0.6732 -0.6100 -0.4180 +vn 0.0473 -0.6693 -0.7415 +vn 0.7348 -0.3121 -0.6022 +vn 0.9692 0.2234 -0.1039 +vn 0.0349 0.4063 0.9131 +vn 0.6976 0.4104 0.5874 +vn -0.6481 0.1788 0.7402 +vn -0.9768 -0.1537 0.1491 +vn -0.7348 -0.4045 -0.5445 +vn -0.0285 -0.4090 -0.9121 +vn 0.6955 -0.1558 -0.7015 +vn 0.9803 0.1850 -0.0690 +vn 0.0941 0.1013 0.9904 +vn 0.7480 0.1591 0.6443 +vn -0.6135 -0.0140 0.7895 +vn -0.9829 -0.1240 0.1360 +vn -0.7724 -0.1620 -0.6141 +vn -0.0778 -0.1003 -0.9919 +vn 0.6606 0.0213 -0.7504 +vn 0.9897 0.1275 -0.0654 +vn 0.1030 -0.0397 0.9939 +vn 0.7726 0.0377 0.6337 +vn -0.6277 -0.0954 0.7726 +vn -0.9907 -0.0959 0.0965 +vn -0.7715 -0.0406 -0.6349 +vn -0.1033 0.0370 -0.9940 +vn 0.6263 0.0918 -0.7742 +vn 0.9908 0.0921 -0.0991 +vn 0.0976 -0.0362 0.9946 +vn 0.7797 0.0424 0.6247 +vn -0.6422 -0.0938 0.7608 +vn -0.9924 -0.0967 0.0760 +vn -0.7642 -0.0455 -0.6434 +vn -0.1071 0.0298 -0.9938 +vn 0.6131 0.0875 -0.7852 +vn 0.9883 0.0938 -0.1199 +vn -0.7044 0.6272 0.3324 +vn -0.7043 0.6272 0.3324 +vn -0.1189 0.9929 0.0017 +vn -0.8767 -0.1058 0.4693 +vn -0.5349 -0.7768 0.3324 +vn 0.1207 -0.9927 0.0017 +vn 0.7062 -0.6270 -0.3289 +vn 0.8785 0.1060 -0.4659 +vn 0.5367 0.7770 -0.3289 +vn -0.7044 0.6272 0.3323 +vn -0.1190 0.9929 0.0016 +vn -0.8767 -0.1058 0.4692 +vn -0.5350 -0.7768 0.3323 +vn 0.1207 -0.9927 0.0016 +vn 0.7061 -0.6270 -0.3290 +vn 0.8784 0.1060 -0.4660 +vn 0.5367 0.7770 -0.3290 +vn -0.7044 0.6272 0.3322 +vn -0.1190 0.9929 0.0015 +vn -0.8768 -0.1058 0.4691 +vn -0.5350 -0.7768 0.3322 +vn 0.1206 -0.9927 0.0015 +vn 0.7061 -0.6270 -0.3291 +vn 0.8784 0.1060 -0.4661 +vn 0.5366 0.7770 -0.3291 +vn -0.3303 0.7959 0.5075 +vn 0.2148 0.9767 0.0015 +vn -0.6810 0.1487 0.7171 +vn -0.6319 -0.5858 0.5075 +vn -0.2118 -0.9773 0.0015 +vn 0.3333 -0.7965 -0.5044 +vn 0.6840 -0.1493 -0.7140 +vn 0.6349 0.5852 -0.5044 +vn -0.3303 0.7959 0.5074 +vn 0.2147 0.9767 0.0014 +vn -0.6811 0.1487 0.7170 +vn -0.6320 -0.5858 0.5074 +vn -0.2118 -0.9773 0.0014 +vn 0.3332 -0.7965 -0.5045 +vn 0.6839 -0.1493 -0.7141 +vn 0.6348 0.5852 -0.5045 +vn -0.3304 0.7959 0.5073 +vn 0.2146 0.9767 0.0014 +vn -0.6811 0.1487 0.7169 +vn -0.6320 -0.5858 0.5073 +vn -0.2119 -0.9773 0.0014 +vn 0.3331 -0.7965 -0.5046 +vn 0.6838 -0.1493 -0.7142 +vn 0.6348 0.5852 -0.5046 +s 1 +mtllib leafwood.mtl +usemtl TrunkAndBranches +f 1/1/1 9/2/2 16/3/3 8/4/4 +f 2/5/5 10/6/6 9/7/2 1/8/1 +f 3/9/7 11/10/8 10/6/6 2/5/5 +f 4/11/9 12/12/10 11/10/8 3/9/7 +f 5/13/11 13/14/12 12/12/10 4/11/9 +f 6/15/13 14/16/14 13/14/12 5/13/11 +f 7/17/15 15/18/16 14/16/14 6/15/13 +f 8/4/4 16/3/3 15/18/16 7/17/15 +f 9/2/2 17/19/17 24/20/18 16/3/3 +f 10/6/6 18/21/19 17/22/17 9/7/2 +f 11/10/8 19/23/20 18/21/19 10/6/6 +f 12/12/10 20/24/21 19/23/20 11/10/8 +f 13/14/12 21/25/22 20/24/21 12/12/10 +f 14/16/14 22/26/23 21/25/22 13/14/12 +f 15/18/16 23/27/24 22/26/23 14/16/14 +f 16/3/3 24/20/18 23/27/24 15/18/16 +f 17/19/17 25/28/25 32/29/26 24/20/18 +f 18/21/19 26/30/27 25/31/25 17/22/17 +f 19/23/20 27/32/28 26/30/27 18/21/19 +f 20/24/21 28/33/29 27/32/28 19/23/20 +f 21/25/22 29/34/30 28/33/29 20/24/21 +f 22/26/23 30/35/31 29/34/30 21/25/22 +f 23/27/24 31/36/32 30/35/31 22/26/23 +f 24/20/18 32/29/26 31/36/32 23/27/24 +f 25/28/25 33/37/33 40/38/34 32/29/26 +f 26/30/27 34/39/35 33/40/33 25/31/25 +f 27/32/28 35/41/36 34/39/35 26/30/27 +f 28/33/29 36/42/37 35/41/36 27/32/28 +f 29/34/30 37/43/38 36/42/37 28/33/29 +f 30/35/31 38/44/39 37/43/38 29/34/30 +f 31/36/32 39/45/40 38/44/39 30/35/31 +f 32/29/26 40/38/34 39/45/40 31/36/32 +f 33/37/33 41/46/41 48/47/42 40/38/34 +f 34/39/35 42/48/43 41/49/41 33/40/33 +f 35/41/36 43/50/44 42/48/43 34/39/35 +f 36/42/37 44/51/45 43/50/44 35/41/36 +f 37/43/38 45/52/46 44/51/45 36/42/37 +f 38/44/39 46/53/47 45/52/46 37/43/38 +f 39/45/40 47/54/48 46/53/47 38/44/39 +f 40/38/34 48/47/42 47/54/48 39/45/40 +f 41/46/41 49/55/49 56/56/50 48/47/42 +f 42/48/43 50/57/51 49/58/49 41/49/41 +f 43/50/44 51/59/52 50/57/51 42/48/43 +f 44/51/45 52/60/53 51/59/52 43/50/44 +f 45/52/46 53/61/54 52/60/53 44/51/45 +f 46/53/47 54/62/55 53/61/54 45/52/46 +f 47/54/48 55/63/56 54/62/55 46/53/47 +f 48/47/42 56/56/50 55/63/56 47/54/48 +f 49/55/49 57/64/57 64/65/58 56/56/50 +f 50/57/51 58/66/59 57/67/57 49/58/49 +f 51/59/52 59/68/60 58/66/59 50/57/51 +f 52/60/53 60/69/61 59/68/60 51/59/52 +f 53/61/54 61/70/62 60/69/61 52/60/53 +f 54/62/55 62/71/63 61/70/62 53/61/54 +f 55/63/56 63/72/64 62/71/63 54/62/55 +f 56/56/50 64/65/58 63/72/64 55/63/56 +f 57/64/57 65/73/65 72/74/66 64/65/58 +f 58/66/59 66/75/67 65/76/65 57/67/57 +f 59/68/60 67/77/68 66/75/67 58/66/59 +f 60/69/61 68/78/69 67/77/68 59/68/60 +f 61/70/62 69/79/70 68/78/69 60/69/61 +f 62/71/63 70/80/71 69/79/70 61/70/62 +f 63/72/64 71/81/72 70/80/71 62/71/63 +f 64/65/58 72/74/66 71/81/72 63/72/64 +f 65/73/65 73/82/73 80/83/74 72/74/66 +f 66/75/67 74/84/75 73/85/73 65/76/65 +f 67/77/68 75/86/76 74/84/75 66/75/67 +f 68/78/69 76/87/77 75/86/76 67/77/68 +f 69/79/70 77/88/78 76/87/77 68/78/69 +f 70/80/71 78/89/79 77/88/78 69/79/70 +f 71/81/72 79/90/80 78/89/79 70/80/71 +f 72/74/66 80/83/74 79/90/80 71/81/72 +f 73/82/73 81/91/81 88/92/82 80/83/74 +f 74/84/75 82/93/83 81/94/81 73/85/73 +f 75/86/76 83/95/84 82/93/83 74/84/75 +f 76/87/77 84/96/85 83/95/84 75/86/76 +f 77/88/78 85/97/86 84/96/85 76/87/77 +f 78/89/79 86/98/87 85/97/86 77/88/78 +f 79/90/80 87/99/88 86/98/87 78/89/79 +f 80/83/74 88/92/82 87/99/88 79/90/80 +f 81/91/81 89/100/89 96/101/90 88/92/82 +f 82/93/83 90/102/91 89/103/89 81/94/81 +f 83/95/84 91/104/92 90/102/91 82/93/83 +f 84/96/85 92/105/93 91/104/92 83/95/84 +f 85/97/86 93/106/94 92/105/93 84/96/85 +f 86/98/87 94/107/95 93/106/94 85/97/86 +f 87/99/88 95/108/96 94/107/95 86/98/87 +f 88/92/82 96/101/90 95/108/96 87/99/88 +f 89/100/89 97/109/97 104/110/98 96/101/90 +f 90/102/91 98/111/99 97/112/97 89/103/89 +f 91/104/92 99/113/100 98/111/99 90/102/91 +f 92/105/93 100/114/101 99/113/100 91/104/92 +f 93/106/94 101/115/102 100/114/101 92/105/93 +f 94/107/95 102/116/103 101/115/102 93/106/94 +f 95/108/96 103/117/104 102/116/103 94/107/95 +f 96/101/90 104/110/98 103/117/104 95/108/96 +f 105/118/105 113/119/106 120/120/107 112/121/108 +f 106/122/109 114/123/110 113/124/106 105/125/105 +f 107/126/111 115/127/112 114/123/110 106/122/109 +f 108/128/113 116/129/114 115/127/112 107/126/111 +f 109/130/115 117/131/116 116/129/114 108/128/113 +f 110/132/117 118/133/118 117/131/116 109/130/115 +f 111/134/119 119/135/120 118/133/118 110/132/117 +f 112/121/108 120/120/107 119/135/120 111/134/119 +f 113/119/106 121/136/121 128/137/122 120/120/107 +f 114/123/110 122/138/123 121/139/121 113/124/106 +f 115/127/112 123/140/124 122/138/123 114/123/110 +f 116/129/114 124/141/125 123/140/124 115/127/112 +f 117/131/116 125/142/126 124/141/125 116/129/114 +f 118/133/118 126/143/127 125/142/126 117/131/116 +f 119/135/120 127/144/128 126/143/127 118/133/118 +f 120/120/107 128/137/122 127/144/128 119/135/120 +f 121/136/121 129/145/129 136/146/130 128/137/122 +f 122/138/123 130/147/131 129/148/129 121/139/121 +f 123/140/124 131/149/132 130/147/131 122/138/123 +f 124/141/125 132/150/133 131/149/132 123/140/124 +f 125/142/126 133/151/134 132/150/133 124/141/125 +f 126/143/127 134/152/135 133/151/134 125/142/126 +f 127/144/128 135/153/136 134/152/135 126/143/127 +f 128/137/122 136/146/130 135/153/136 127/144/128 +f 129/145/129 137/154/137 144/155/138 136/146/130 +f 130/147/131 138/156/139 137/157/137 129/148/129 +f 131/149/132 139/158/140 138/156/139 130/147/131 +f 132/150/133 140/159/141 139/158/140 131/149/132 +f 133/151/134 141/160/142 140/159/141 132/150/133 +f 134/152/135 142/161/143 141/160/142 133/151/134 +f 135/153/136 143/162/144 142/161/143 134/152/135 +f 136/146/130 144/155/138 143/162/144 135/153/136 +f 137/154/137 145/163/145 152/164/146 144/155/138 +f 138/156/139 146/165/147 145/166/145 137/157/137 +f 139/158/140 147/167/148 146/165/147 138/156/139 +f 140/159/141 148/168/149 147/167/148 139/158/140 +f 141/160/142 149/169/150 148/168/149 140/159/141 +f 142/161/143 150/170/151 149/169/150 141/160/142 +f 143/162/144 151/171/152 150/170/151 142/161/143 +f 144/155/138 152/164/146 151/171/152 143/162/144 +f 145/163/145 153/172/153 160/173/154 152/164/146 +f 146/165/147 154/174/155 153/175/153 145/166/145 +f 147/167/148 155/176/156 154/174/155 146/165/147 +f 148/168/149 156/177/157 155/176/156 147/167/148 +f 149/169/150 157/178/158 156/177/157 148/168/149 +f 150/170/151 158/179/159 157/178/158 149/169/150 +f 151/171/152 159/180/160 158/179/159 150/170/151 +f 152/164/146 160/173/154 159/180/160 151/171/152 +f 153/172/153 161/181/161 168/182/162 160/173/154 +f 154/174/155 162/183/163 161/184/161 153/175/153 +f 155/176/156 163/185/164 162/183/163 154/174/155 +f 156/177/157 164/186/165 163/185/164 155/176/156 +f 157/178/158 165/187/166 164/186/165 156/177/157 +f 158/179/159 166/188/167 165/187/166 157/178/158 +f 159/180/160 167/189/168 166/188/167 158/179/159 +f 160/173/154 168/182/162 167/189/168 159/180/160 +f 161/181/161 169/190/169 176/191/170 168/182/162 +f 162/183/163 170/192/171 169/193/169 161/184/161 +f 163/185/164 171/194/172 170/192/171 162/183/163 +f 164/186/165 172/195/173 171/194/172 163/185/164 +f 165/187/166 173/196/174 172/195/173 164/186/165 +f 166/188/167 174/197/175 173/196/174 165/187/166 +f 167/189/168 175/198/176 174/197/175 166/188/167 +f 168/182/162 176/191/170 175/198/176 167/189/168 +f 169/190/169 177/199/177 184/200/178 176/191/170 +f 170/192/171 178/201/179 177/202/177 169/193/169 +f 171/194/172 179/203/180 178/201/179 170/192/171 +f 172/195/173 180/204/181 179/203/180 171/194/172 +f 173/196/174 181/205/182 180/204/181 172/195/173 +f 174/197/175 182/206/183 181/205/182 173/196/174 +f 175/198/176 183/207/184 182/206/183 174/197/175 +f 176/191/170 184/200/178 183/207/184 175/198/176 +f 177/199/177 185/208/185 192/209/186 184/200/178 +f 178/201/179 186/210/187 185/211/185 177/202/177 +f 179/203/180 187/212/188 186/210/187 178/201/179 +f 180/204/181 188/213/189 187/212/188 179/203/180 +f 181/205/182 189/214/190 188/213/189 180/204/181 +f 182/206/183 190/215/191 189/214/190 181/205/182 +f 183/207/184 191/216/192 190/215/191 182/206/183 +f 184/200/178 192/209/186 191/216/192 183/207/184 +f 185/208/185 193/217/193 200/218/194 192/209/186 +f 186/210/187 194/219/195 193/220/193 185/211/185 +f 187/212/188 195/221/196 194/219/195 186/210/187 +f 188/213/189 196/222/197 195/221/196 187/212/188 +f 189/214/190 197/223/198 196/222/197 188/213/189 +f 190/215/191 198/224/199 197/223/198 189/214/190 +f 191/216/192 199/225/200 198/224/199 190/215/191 +f 192/209/186 200/218/194 199/225/200 191/216/192 +f 193/217/193 201/226/201 208/227/202 200/218/194 +f 194/219/195 202/228/203 201/229/201 193/220/193 +f 195/221/196 203/230/204 202/228/203 194/219/195 +f 196/222/197 204/231/205 203/230/204 195/221/196 +f 197/223/198 205/232/206 204/231/205 196/222/197 +f 198/224/199 206/233/207 205/232/206 197/223/198 +f 199/225/200 207/234/208 206/233/207 198/224/199 +f 200/218/194 208/227/202 207/234/208 199/225/200 +f 209/235/209 217/236/210 224/237/211 216/238/212 +f 210/239/213 218/240/214 217/241/210 209/242/209 +f 211/243/215 219/244/216 218/240/214 210/239/213 +f 212/245/217 220/246/218 219/244/216 211/243/215 +f 213/247/219 221/248/220 220/246/218 212/245/217 +f 214/249/221 222/250/222 221/248/220 213/247/219 +f 215/251/223 223/252/224 222/250/222 214/249/221 +f 216/238/212 224/237/211 223/252/224 215/251/223 +f 217/236/210 225/253/225 232/254/226 224/237/211 +f 218/240/214 226/255/227 225/256/225 217/241/210 +f 219/244/216 227/257/228 226/255/227 218/240/214 +f 220/246/218 228/258/229 227/257/228 219/244/216 +f 221/248/220 229/259/230 228/258/229 220/246/218 +f 222/250/222 230/260/231 229/259/230 221/248/220 +f 223/252/224 231/261/232 230/260/231 222/250/222 +f 224/237/211 232/254/226 231/261/232 223/252/224 +f 225/253/225 233/262/233 240/263/234 232/254/226 +f 226/255/227 234/264/235 233/265/233 225/256/225 +f 227/257/228 235/266/236 234/264/235 226/255/227 +f 228/258/229 236/267/237 235/266/236 227/257/228 +f 229/259/230 237/268/238 236/267/237 228/258/229 +f 230/260/231 238/269/239 237/268/238 229/259/230 +f 231/261/232 239/270/240 238/269/239 230/260/231 +f 232/254/226 240/263/234 239/270/240 231/261/232 +f 233/262/233 241/271/241 248/272/242 240/263/234 +f 234/264/235 242/273/243 241/274/241 233/265/233 +f 235/266/236 243/275/244 242/273/243 234/264/235 +f 236/267/237 244/276/245 243/275/244 235/266/236 +f 237/268/238 245/277/246 244/276/245 236/267/237 +f 238/269/239 246/278/247 245/277/246 237/268/238 +f 239/270/240 247/279/248 246/278/247 238/269/239 +f 240/263/234 248/272/242 247/279/248 239/270/240 +f 241/271/241 249/280/249 256/281/250 248/272/242 +f 242/273/243 250/282/251 249/283/249 241/274/241 +f 243/275/244 251/284/252 250/282/251 242/273/243 +f 244/276/245 252/285/253 251/284/252 243/275/244 +f 245/277/246 253/286/254 252/285/253 244/276/245 +f 246/278/247 254/287/255 253/286/254 245/277/246 +f 247/279/248 255/288/256 254/287/255 246/278/247 +f 248/272/242 256/281/250 255/288/256 247/279/248 +f 249/280/249 257/289/257 264/290/258 256/281/250 +f 250/282/251 258/291/259 257/292/257 249/283/249 +f 251/284/252 259/293/260 258/291/259 250/282/251 +f 252/285/253 260/294/261 259/293/260 251/284/252 +f 253/286/254 261/295/262 260/294/261 252/285/253 +f 254/287/255 262/296/263 261/295/262 253/286/254 +f 255/288/256 263/297/264 262/296/263 254/287/255 +f 256/281/250 264/290/258 263/297/264 255/288/256 +f 257/289/257 265/298/265 272/299/266 264/290/258 +f 258/291/259 266/300/267 265/301/265 257/292/257 +f 259/293/260 267/302/268 266/300/267 258/291/259 +f 260/294/261 268/303/269 267/302/268 259/293/260 +f 261/295/262 269/304/270 268/303/269 260/294/261 +f 262/296/263 270/305/271 269/304/270 261/295/262 +f 263/297/264 271/306/272 270/305/271 262/296/263 +f 264/290/258 272/299/266 271/306/272 263/297/264 +f 265/298/265 273/307/273 280/308/274 272/299/266 +f 266/300/267 274/309/275 273/310/273 265/301/265 +f 267/302/268 275/311/276 274/309/275 266/300/267 +f 268/303/269 276/312/277 275/311/276 267/302/268 +f 269/304/270 277/313/278 276/312/277 268/303/269 +f 270/305/271 278/314/279 277/313/278 269/304/270 +f 271/306/272 279/315/280 278/314/279 270/305/271 +f 272/299/266 280/308/274 279/315/280 271/306/272 +f 273/307/273 281/316/281 288/317/282 280/308/274 +f 274/309/275 282/318/283 281/319/281 273/310/273 +f 275/311/276 283/320/284 282/318/283 274/309/275 +f 276/312/277 284/321/285 283/320/284 275/311/276 +f 277/313/278 285/322/286 284/321/285 276/312/277 +f 278/314/279 286/323/287 285/322/286 277/313/278 +f 279/315/280 287/324/288 286/323/287 278/314/279 +f 280/308/274 288/317/282 287/324/288 279/315/280 +f 281/316/281 289/325/289 296/326/290 288/317/282 +f 282/318/283 290/327/291 289/328/289 281/319/281 +f 283/320/284 291/329/292 290/327/291 282/318/283 +f 284/321/285 292/330/293 291/329/292 283/320/284 +f 285/322/286 293/331/294 292/330/293 284/321/285 +f 286/323/287 294/332/295 293/331/294 285/322/286 +f 287/324/288 295/333/296 294/332/295 286/323/287 +f 288/317/282 296/326/290 295/333/296 287/324/288 +f 289/325/289 297/334/297 304/335/298 296/326/290 +f 290/327/291 298/336/299 297/337/297 289/328/289 +f 291/329/292 299/338/300 298/336/299 290/327/291 +f 292/330/293 300/339/301 299/338/300 291/329/292 +f 293/331/294 301/340/302 300/339/301 292/330/293 +f 294/332/295 302/341/303 301/340/302 293/331/294 +f 295/333/296 303/342/304 302/341/303 294/332/295 +f 296/326/290 304/335/298 303/342/304 295/333/296 +f 297/334/297 305/343/305 312/344/306 304/335/298 +f 298/336/299 306/345/307 305/346/305 297/337/297 +f 299/338/300 307/347/308 306/345/307 298/336/299 +f 300/339/301 308/348/309 307/347/308 299/338/300 +f 301/340/302 309/349/310 308/348/309 300/339/301 +f 302/341/303 310/350/311 309/349/310 301/340/302 +f 303/342/304 311/351/312 310/350/311 302/341/303 +f 304/335/298 312/344/306 311/351/312 303/342/304 +f 313/352/313 321/353/314 328/354/315 320/355/316 +f 314/356/317 322/357/318 321/358/314 313/359/313 +f 315/360/319 323/361/320 322/357/318 314/356/317 +f 316/362/321 324/363/322 323/361/320 315/360/319 +f 317/364/323 325/365/324 324/363/322 316/362/321 +f 318/366/325 326/367/326 325/365/324 317/364/323 +f 319/368/327 327/369/328 326/367/326 318/366/325 +f 320/355/316 328/354/315 327/369/328 319/368/327 +f 321/353/314 329/370/329 336/371/330 328/354/315 +f 322/357/318 330/372/331 329/373/329 321/358/314 +f 323/361/320 331/374/332 330/372/331 322/357/318 +f 324/363/322 332/375/333 331/374/332 323/361/320 +f 325/365/324 333/376/334 332/375/333 324/363/322 +f 326/367/326 334/377/335 333/376/334 325/365/324 +f 327/369/328 335/378/336 334/377/335 326/367/326 +f 328/354/315 336/371/330 335/378/336 327/369/328 +f 329/370/329 337/379/337 344/380/338 336/371/330 +f 330/372/331 338/381/339 337/382/337 329/373/329 +f 331/374/332 339/383/340 338/381/339 330/372/331 +f 332/375/333 340/384/341 339/383/340 331/374/332 +f 333/376/334 341/385/342 340/384/341 332/375/333 +f 334/377/335 342/386/343 341/385/342 333/376/334 +f 335/378/336 343/387/344 342/386/343 334/377/335 +f 336/371/330 344/380/338 343/387/344 335/378/336 +f 337/379/337 345/388/345 352/389/346 344/380/338 +f 338/381/339 346/390/347 345/391/345 337/382/337 +f 339/383/340 347/392/348 346/390/347 338/381/339 +f 340/384/341 348/393/349 347/392/348 339/383/340 +f 341/385/342 349/394/350 348/393/349 340/384/341 +f 342/386/343 350/395/351 349/394/350 341/385/342 +f 343/387/344 351/396/352 350/395/351 342/386/343 +f 344/380/338 352/389/346 351/396/352 343/387/344 +f 345/388/345 353/397/353 360/398/354 352/389/346 +f 346/390/347 354/399/355 353/400/353 345/391/345 +f 347/392/348 355/401/356 354/399/355 346/390/347 +f 348/393/349 356/402/357 355/401/356 347/392/348 +f 349/394/350 357/403/358 356/402/357 348/393/349 +f 350/395/351 358/404/359 357/403/358 349/394/350 +f 351/396/352 359/405/360 358/404/359 350/395/351 +f 352/389/346 360/398/354 359/405/360 351/396/352 +f 353/397/353 361/406/361 368/407/362 360/398/354 +f 354/399/355 362/408/363 361/409/361 353/400/353 +f 355/401/356 363/410/364 362/408/363 354/399/355 +f 356/402/357 364/411/365 363/410/364 355/401/356 +f 357/403/358 365/412/366 364/411/365 356/402/357 +f 358/404/359 366/413/367 365/412/366 357/403/358 +f 359/405/360 367/414/368 366/413/367 358/404/359 +f 360/398/354 368/407/362 367/414/368 359/405/360 +f 361/406/361 369/415/369 376/416/370 368/407/362 +f 362/408/363 370/417/371 369/418/369 361/409/361 +f 363/410/364 371/419/372 370/417/371 362/408/363 +f 364/411/365 372/420/373 371/419/372 363/410/364 +f 365/412/366 373/421/374 372/420/373 364/411/365 +f 366/413/367 374/422/375 373/421/374 365/412/366 +f 367/414/368 375/423/376 374/422/375 366/413/367 +f 368/407/362 376/416/370 375/423/376 367/414/368 +f 369/415/369 377/424/377 384/425/378 376/416/370 +f 370/417/371 378/426/379 377/427/377 369/418/369 +f 371/419/372 379/428/380 378/426/379 370/417/371 +f 372/420/373 380/429/381 379/428/380 371/419/372 +f 373/421/374 381/430/382 380/429/381 372/420/373 +f 374/422/375 382/431/383 381/430/382 373/421/374 +f 375/423/376 383/432/384 382/431/383 374/422/375 +f 376/416/370 384/425/378 383/432/384 375/423/376 +f 377/424/377 385/433/385 392/434/386 384/425/378 +f 378/426/379 386/435/387 385/436/385 377/427/377 +f 379/428/380 387/437/388 386/435/387 378/426/379 +f 380/429/381 388/438/389 387/437/388 379/428/380 +f 381/430/382 389/439/390 388/438/389 380/429/381 +f 382/431/383 390/440/391 389/439/390 381/430/382 +f 383/432/384 391/441/392 390/440/391 382/431/383 +f 384/425/378 392/434/386 391/441/392 383/432/384 +f 385/433/385 393/442/393 400/443/394 392/434/386 +f 386/435/387 394/444/395 393/445/393 385/436/385 +f 387/437/388 395/446/396 394/444/395 386/435/387 +f 388/438/389 396/447/397 395/446/396 387/437/388 +f 389/439/390 397/448/398 396/447/397 388/438/389 +f 390/440/391 398/449/399 397/448/398 389/439/390 +f 391/441/392 399/450/400 398/449/399 390/440/391 +f 392/434/386 400/443/394 399/450/400 391/441/392 +f 393/442/393 401/451/401 408/452/402 400/443/394 +f 394/444/395 402/453/403 401/454/401 393/445/393 +f 395/446/396 403/455/404 402/453/403 394/444/395 +f 396/447/397 404/456/405 403/455/404 395/446/396 +f 397/448/398 405/457/406 404/456/405 396/447/397 +f 398/449/399 406/458/407 405/457/406 397/448/398 +f 399/450/400 407/459/408 406/458/407 398/449/399 +f 400/443/394 408/452/402 407/459/408 399/450/400 +f 401/451/401 409/460/409 416/461/410 408/452/402 +f 402/453/403 410/462/411 409/463/409 401/454/401 +f 403/455/404 411/464/412 410/462/411 402/453/403 +f 404/456/405 412/465/413 411/464/412 403/455/404 +f 405/457/406 413/466/414 412/465/413 404/456/405 +f 406/458/407 414/467/415 413/466/414 405/457/406 +f 407/459/408 415/468/416 414/467/415 406/458/407 +f 408/452/402 416/461/410 415/468/416 407/459/408 +f 417/469/417 425/470/418 432/471/419 424/472/420 +f 418/473/421 426/474/422 425/475/418 417/476/417 +f 419/477/423 427/478/424 426/474/422 418/473/421 +f 420/479/425 428/480/426 427/478/424 419/477/423 +f 421/481/427 429/482/428 428/480/426 420/479/425 +f 422/483/429 430/484/430 429/482/428 421/481/427 +f 423/485/431 431/486/432 430/484/430 422/483/429 +f 424/472/420 432/471/419 431/486/432 423/485/431 +f 425/470/418 433/487/433 440/488/434 432/471/419 +f 426/474/422 434/489/435 433/490/433 425/475/418 +f 427/478/424 435/491/436 434/489/435 426/474/422 +f 428/480/426 436/492/437 435/491/436 427/478/424 +f 429/482/428 437/493/438 436/492/437 428/480/426 +f 430/484/430 438/494/439 437/493/438 429/482/428 +f 431/486/432 439/495/440 438/494/439 430/484/430 +f 432/471/419 440/488/434 439/495/440 431/486/432 +f 433/487/433 441/496/441 448/497/442 440/488/434 +f 434/489/435 442/498/443 441/499/441 433/490/433 +f 435/491/436 443/500/444 442/498/443 434/489/435 +f 436/492/437 444/501/445 443/500/444 435/491/436 +f 437/493/438 445/502/446 444/501/445 436/492/437 +f 438/494/439 446/503/447 445/502/446 437/493/438 +f 439/495/440 447/504/448 446/503/447 438/494/439 +f 440/488/434 448/497/442 447/504/448 439/495/440 +f 441/496/441 449/505/449 456/506/450 448/497/442 +f 442/498/443 450/507/451 449/508/449 441/499/441 +f 443/500/444 451/509/452 450/507/451 442/498/443 +f 444/501/445 452/510/453 451/509/452 443/500/444 +f 445/502/446 453/511/454 452/510/453 444/501/445 +f 446/503/447 454/512/455 453/511/454 445/502/446 +f 447/504/448 455/513/456 454/512/455 446/503/447 +f 448/497/442 456/506/450 455/513/456 447/504/448 +f 449/505/449 457/514/457 464/515/458 456/506/450 +f 450/507/451 458/516/459 457/517/457 449/508/449 +f 451/509/452 459/518/460 458/516/459 450/507/451 +f 452/510/453 460/519/461 459/518/460 451/509/452 +f 453/511/454 461/520/462 460/519/461 452/510/453 +f 454/512/455 462/521/463 461/520/462 453/511/454 +f 455/513/456 463/522/464 462/521/463 454/512/455 +f 456/506/450 464/515/458 463/522/464 455/513/456 +f 457/514/457 465/523/465 472/524/466 464/515/458 +f 458/516/459 466/525/467 465/526/465 457/517/457 +f 459/518/460 467/527/468 466/525/467 458/516/459 +f 460/519/461 468/528/469 467/527/468 459/518/460 +f 461/520/462 469/529/470 468/528/469 460/519/461 +f 462/521/463 470/530/471 469/529/470 461/520/462 +f 463/522/464 471/531/472 470/530/471 462/521/463 +f 464/515/458 472/524/466 471/531/472 463/522/464 +f 465/523/465 473/532/473 480/533/474 472/524/466 +f 466/525/467 474/534/475 473/535/473 465/526/465 +f 467/527/468 475/536/476 474/534/475 466/525/467 +f 468/528/469 476/537/477 475/536/476 467/527/468 +f 469/529/470 477/538/478 476/537/477 468/528/469 +f 470/530/471 478/539/479 477/538/478 469/529/470 +f 471/531/472 479/540/480 478/539/479 470/530/471 +f 472/524/466 480/533/474 479/540/480 471/531/472 +f 473/532/473 481/541/481 488/542/482 480/533/474 +f 474/534/475 482/543/483 481/544/481 473/535/473 +f 475/536/476 483/545/484 482/543/483 474/534/475 +f 476/537/477 484/546/485 483/545/484 475/536/476 +f 477/538/478 485/547/486 484/546/485 476/537/477 +f 478/539/479 486/548/487 485/547/486 477/538/478 +f 479/540/480 487/549/488 486/548/487 478/539/479 +f 480/533/474 488/542/482 487/549/488 479/540/480 +f 481/541/481 489/550/489 496/551/490 488/542/482 +f 482/543/483 490/552/491 489/553/489 481/544/481 +f 483/545/484 491/554/492 490/552/491 482/543/483 +f 484/546/485 492/555/493 491/554/492 483/545/484 +f 485/547/486 493/556/494 492/555/493 484/546/485 +f 486/548/487 494/557/495 493/556/494 485/547/486 +f 487/549/488 495/558/496 494/557/495 486/548/487 +f 488/542/482 496/551/490 495/558/496 487/549/488 +f 489/550/489 497/559/497 504/560/498 496/551/490 +f 490/552/491 498/561/499 497/562/497 489/553/489 +f 491/554/492 499/563/500 498/561/499 490/552/491 +f 492/555/493 500/564/501 499/563/500 491/554/492 +f 493/556/494 501/565/502 500/564/501 492/555/493 +f 494/557/495 502/566/503 501/565/502 493/556/494 +f 495/558/496 503/567/504 502/566/503 494/557/495 +f 496/551/490 504/560/498 503/567/504 495/558/496 +f 497/559/497 505/568/505 512/569/506 504/560/498 +f 498/561/499 506/570/507 505/571/505 497/562/497 +f 499/563/500 507/572/508 506/570/507 498/561/499 +f 500/564/501 508/573/509 507/572/508 499/563/500 +f 501/565/502 509/574/510 508/573/509 500/564/501 +f 502/566/503 510/575/511 509/574/510 501/565/502 +f 503/567/504 511/576/512 510/575/511 502/566/503 +f 504/560/498 512/569/506 511/576/512 503/567/504 +f 505/568/505 513/577/513 520/578/514 512/569/506 +f 506/570/507 514/579/515 513/580/513 505/571/505 +f 507/572/508 515/581/516 514/579/515 506/570/507 +f 508/573/509 516/582/517 515/581/516 507/572/508 +f 509/574/510 517/583/518 516/582/517 508/573/509 +f 510/575/511 518/584/519 517/583/518 509/574/510 +f 511/576/512 519/585/520 518/584/519 510/575/511 +f 512/569/506 520/578/514 519/585/520 511/576/512 +f 521/586/521 529/587/522 536/588/523 528/589/524 +f 522/590/525 530/591/526 529/592/522 521/593/521 +f 523/594/527 531/595/528 530/591/526 522/590/525 +f 524/596/529 532/597/530 531/595/528 523/594/527 +f 525/598/531 533/599/532 532/597/530 524/596/529 +f 526/600/533 534/601/534 533/599/532 525/598/531 +f 527/602/535 535/603/536 534/601/534 526/600/533 +f 528/589/524 536/588/523 535/603/536 527/602/535 +f 529/587/522 537/604/537 544/605/538 536/588/523 +f 530/591/526 538/606/539 537/607/537 529/592/522 +f 531/595/528 539/608/540 538/606/539 530/591/526 +f 532/597/530 540/609/541 539/608/540 531/595/528 +f 533/599/532 541/610/542 540/609/541 532/597/530 +f 534/601/534 542/611/543 541/610/542 533/599/532 +f 535/603/536 543/612/544 542/611/543 534/601/534 +f 536/588/523 544/605/538 543/612/544 535/603/536 +f 537/604/537 545/613/545 552/614/546 544/605/538 +f 538/606/539 546/615/547 545/616/545 537/607/537 +f 539/608/540 547/617/548 546/615/547 538/606/539 +f 540/609/541 548/618/549 547/617/548 539/608/540 +f 541/610/542 549/619/550 548/618/549 540/609/541 +f 542/611/543 550/620/551 549/619/550 541/610/542 +f 543/612/544 551/621/552 550/620/551 542/611/543 +f 544/605/538 552/614/546 551/621/552 543/612/544 +f 545/613/545 553/622/553 560/623/554 552/614/546 +f 546/615/547 554/624/555 553/625/553 545/616/545 +f 547/617/548 555/626/556 554/624/555 546/615/547 +f 548/618/549 556/627/557 555/626/556 547/617/548 +f 549/619/550 557/628/558 556/627/557 548/618/549 +f 550/620/551 558/629/559 557/628/558 549/619/550 +f 551/621/552 559/630/560 558/629/559 550/620/551 +f 552/614/546 560/623/554 559/630/560 551/621/552 +f 553/622/553 561/631/561 568/632/562 560/623/554 +f 554/624/555 562/633/563 561/634/561 553/625/553 +f 555/626/556 563/635/564 562/633/563 554/624/555 +f 556/627/557 564/636/565 563/635/564 555/626/556 +f 557/628/558 565/637/566 564/636/565 556/627/557 +f 558/629/559 566/638/567 565/637/566 557/628/558 +f 559/630/560 567/639/568 566/638/567 558/629/559 +f 560/623/554 568/632/562 567/639/568 559/630/560 +f 561/631/561 569/640/569 576/641/570 568/632/562 +f 562/633/563 570/642/571 569/643/569 561/634/561 +f 563/635/564 571/644/572 570/642/571 562/633/563 +f 564/636/565 572/645/573 571/644/572 563/635/564 +f 565/637/566 573/646/574 572/645/573 564/636/565 +f 566/638/567 574/647/575 573/646/574 565/637/566 +f 567/639/568 575/648/576 574/647/575 566/638/567 +f 568/632/562 576/641/570 575/648/576 567/639/568 +f 569/640/569 577/649/577 584/650/578 576/641/570 +f 570/642/571 578/651/579 577/652/577 569/643/569 +f 571/644/572 579/653/580 578/651/579 570/642/571 +f 572/645/573 580/654/581 579/653/580 571/644/572 +f 573/646/574 581/655/582 580/654/581 572/645/573 +f 574/647/575 582/656/583 581/655/582 573/646/574 +f 575/648/576 583/657/584 582/656/583 574/647/575 +f 576/641/570 584/650/578 583/657/584 575/648/576 +f 577/649/577 585/658/585 592/659/586 584/650/578 +f 578/651/579 586/660/587 585/661/585 577/652/577 +f 579/653/580 587/662/588 586/660/587 578/651/579 +f 580/654/581 588/663/589 587/662/588 579/653/580 +f 581/655/582 589/664/590 588/663/589 580/654/581 +f 582/656/583 590/665/591 589/664/590 581/655/582 +f 583/657/584 591/666/592 590/665/591 582/656/583 +f 584/650/578 592/659/586 591/666/592 583/657/584 +f 585/658/585 593/667/593 600/668/594 592/659/586 +f 586/660/587 594/669/595 593/670/593 585/661/585 +f 587/662/588 595/671/596 594/669/595 586/660/587 +f 588/663/589 596/672/597 595/671/596 587/662/588 +f 589/664/590 597/673/598 596/672/597 588/663/589 +f 590/665/591 598/674/599 597/673/598 589/664/590 +f 591/666/592 599/675/600 598/674/599 590/665/591 +f 592/659/586 600/668/594 599/675/600 591/666/592 +f 593/667/593 601/676/601 608/677/602 600/668/594 +f 594/669/595 602/678/603 601/679/601 593/670/593 +f 595/671/596 603/680/604 602/678/603 594/669/595 +f 596/672/597 604/681/605 603/680/604 595/671/596 +f 597/673/598 605/682/606 604/681/605 596/672/597 +f 598/674/599 606/683/607 605/682/606 597/673/598 +f 599/675/600 607/684/608 606/683/607 598/674/599 +f 600/668/594 608/677/602 607/684/608 599/675/600 +f 601/676/601 609/685/609 616/686/610 608/677/602 +f 602/678/603 610/687/611 609/688/609 601/679/601 +f 603/680/604 611/689/612 610/687/611 602/678/603 +f 604/681/605 612/690/613 611/689/612 603/680/604 +f 605/682/606 613/691/614 612/690/613 604/681/605 +f 606/683/607 614/692/615 613/691/614 605/682/606 +f 607/684/608 615/693/616 614/692/615 606/683/607 +f 608/677/602 616/686/610 615/693/616 607/684/608 +f 609/685/609 617/694/617 624/695/618 616/686/610 +f 610/687/611 618/696/619 617/697/617 609/688/609 +f 611/689/612 619/698/620 618/696/619 610/687/611 +f 612/690/613 620/699/621 619/698/620 611/689/612 +f 613/691/614 621/700/622 620/699/621 612/690/613 +f 614/692/615 622/701/623 621/700/622 613/691/614 +f 615/693/616 623/702/624 622/701/623 614/692/615 +f 616/686/610 624/695/618 623/702/624 615/693/616 +f 625/703/625 633/704/626 640/705/627 632/706/628 +f 626/707/629 634/708/630 633/709/626 625/710/625 +f 627/711/631 635/712/632 634/708/630 626/707/629 +f 628/713/633 636/714/634 635/712/632 627/711/631 +f 629/715/635 637/716/636 636/714/634 628/713/633 +f 630/717/637 638/718/638 637/716/636 629/715/635 +f 631/719/639 639/720/640 638/718/638 630/717/637 +f 632/706/628 640/705/627 639/720/640 631/719/639 +f 633/704/626 641/721/641 648/722/642 640/705/627 +f 634/708/630 642/723/643 641/724/641 633/709/626 +f 635/712/632 643/725/644 642/723/643 634/708/630 +f 636/714/634 644/726/645 643/725/644 635/712/632 +f 637/716/636 645/727/646 644/726/645 636/714/634 +f 638/718/638 646/728/647 645/727/646 637/716/636 +f 639/720/640 647/729/648 646/728/647 638/718/638 +f 640/705/627 648/722/642 647/729/648 639/720/640 +f 641/721/641 649/730/649 656/731/650 648/722/642 +f 642/723/643 650/732/651 649/733/649 641/724/641 +f 643/725/644 651/734/652 650/732/651 642/723/643 +f 644/726/645 652/735/653 651/734/652 643/725/644 +f 645/727/646 653/736/654 652/735/653 644/726/645 +f 646/728/647 654/737/655 653/736/654 645/727/646 +f 647/729/648 655/738/656 654/737/655 646/728/647 +f 648/722/642 656/731/650 655/738/656 647/729/648 +f 649/730/649 657/739/657 664/740/658 656/731/650 +f 650/732/651 658/741/659 657/742/657 649/733/649 +f 651/734/652 659/743/660 658/741/659 650/732/651 +f 652/735/653 660/744/661 659/743/660 651/734/652 +f 653/736/654 661/745/662 660/744/661 652/735/653 +f 654/737/655 662/746/663 661/745/662 653/736/654 +f 655/738/656 663/747/664 662/746/663 654/737/655 +f 656/731/650 664/740/658 663/747/664 655/738/656 +f 657/739/657 665/748/665 672/749/666 664/740/658 +f 658/741/659 666/750/667 665/751/665 657/742/657 +f 659/743/660 667/752/668 666/750/667 658/741/659 +f 660/744/661 668/753/669 667/752/668 659/743/660 +f 661/745/662 669/754/670 668/753/669 660/744/661 +f 662/746/663 670/755/671 669/754/670 661/745/662 +f 663/747/664 671/756/672 670/755/671 662/746/663 +f 664/740/658 672/749/666 671/756/672 663/747/664 +f 665/748/665 673/757/673 680/758/674 672/749/666 +f 666/750/667 674/759/675 673/760/673 665/751/665 +f 667/752/668 675/761/676 674/759/675 666/750/667 +f 668/753/669 676/762/677 675/761/676 667/752/668 +f 669/754/670 677/763/678 676/762/677 668/753/669 +f 670/755/671 678/764/679 677/763/678 669/754/670 +f 671/756/672 679/765/680 678/764/679 670/755/671 +f 672/749/666 680/758/674 679/765/680 671/756/672 +f 673/757/673 681/766/681 688/767/682 680/758/674 +f 674/759/675 682/768/683 681/769/681 673/760/673 +f 675/761/676 683/770/684 682/768/683 674/759/675 +f 676/762/677 684/771/685 683/770/684 675/761/676 +f 677/763/678 685/772/686 684/771/685 676/762/677 +f 678/764/679 686/773/687 685/772/686 677/763/678 +f 679/765/680 687/774/688 686/773/687 678/764/679 +f 680/758/674 688/767/682 687/774/688 679/765/680 +f 681/766/681 689/775/689 696/776/690 688/767/682 +f 682/768/683 690/777/691 689/778/689 681/769/681 +f 683/770/684 691/779/692 690/777/691 682/768/683 +f 684/771/685 692/780/693 691/779/692 683/770/684 +f 685/772/686 693/781/694 692/780/693 684/771/685 +f 686/773/687 694/782/695 693/781/694 685/772/686 +f 687/774/688 695/783/696 694/782/695 686/773/687 +f 688/767/682 696/776/690 695/783/696 687/774/688 +f 689/775/689 697/784/697 704/785/698 696/776/690 +f 690/777/691 698/786/699 697/787/697 689/778/689 +f 691/779/692 699/788/700 698/786/699 690/777/691 +f 692/780/693 700/789/701 699/788/700 691/779/692 +f 693/781/694 701/790/702 700/789/701 692/780/693 +f 694/782/695 702/791/703 701/790/702 693/781/694 +f 695/783/696 703/792/704 702/791/703 694/782/695 +f 696/776/690 704/785/698 703/792/704 695/783/696 +f 697/784/697 705/793/705 712/794/706 704/785/698 +f 698/786/699 706/795/707 705/796/705 697/787/697 +f 699/788/700 707/797/708 706/795/707 698/786/699 +f 700/789/701 708/798/709 707/797/708 699/788/700 +f 701/790/702 709/799/710 708/798/709 700/789/701 +f 702/791/703 710/800/711 709/799/710 701/790/702 +f 703/792/704 711/801/712 710/800/711 702/791/703 +f 704/785/698 712/794/706 711/801/712 703/792/704 +f 705/793/705 713/802/713 720/803/714 712/794/706 +f 706/795/707 714/804/715 713/805/713 705/796/705 +f 707/797/708 715/806/716 714/804/715 706/795/707 +f 708/798/709 716/807/717 715/806/716 707/797/708 +f 709/799/710 717/808/718 716/807/717 708/798/709 +f 710/800/711 718/809/719 717/808/718 709/799/710 +f 711/801/712 719/810/720 718/809/719 710/800/711 +f 712/794/706 720/803/714 719/810/720 711/801/712 +f 713/802/713 721/811/721 728/812/722 720/803/714 +f 714/804/715 722/813/723 721/814/721 713/805/713 +f 715/806/716 723/815/724 722/813/723 714/804/715 +f 716/807/717 724/816/725 723/815/724 715/806/716 +f 717/808/718 725/817/726 724/816/725 716/807/717 +f 718/809/719 726/818/727 725/817/726 717/808/718 +f 719/810/720 727/819/728 726/818/727 718/809/719 +f 720/803/714 728/812/722 727/819/728 719/810/720 +f 729/820/729 737/821/730 744/822/731 736/823/732 +f 730/824/733 738/825/734 737/826/730 729/827/729 +f 731/828/735 739/829/736 738/825/734 730/824/733 +f 732/830/737 740/831/738 739/829/736 731/828/735 +f 733/832/739 741/833/740 740/831/738 732/830/737 +f 734/834/741 742/835/742 741/833/740 733/832/739 +f 735/836/743 743/837/744 742/835/742 734/834/741 +f 736/823/732 744/822/731 743/837/744 735/836/743 +f 737/821/730 745/838/745 752/839/746 744/822/731 +f 738/825/734 746/840/747 745/841/745 737/826/730 +f 739/829/736 747/842/748 746/840/747 738/825/734 +f 740/831/738 748/843/749 747/842/748 739/829/736 +f 741/833/740 749/844/750 748/843/749 740/831/738 +f 742/835/742 750/845/751 749/844/750 741/833/740 +f 743/837/744 751/846/752 750/845/751 742/835/742 +f 744/822/731 752/839/746 751/846/752 743/837/744 +f 745/838/745 753/847/753 760/848/754 752/839/746 +f 746/840/747 754/849/755 753/850/753 745/841/745 +f 747/842/748 755/851/756 754/849/755 746/840/747 +f 748/843/749 756/852/757 755/851/756 747/842/748 +f 749/844/750 757/853/758 756/852/757 748/843/749 +f 750/845/751 758/854/759 757/853/758 749/844/750 +f 751/846/752 759/855/760 758/854/759 750/845/751 +f 752/839/746 760/848/754 759/855/760 751/846/752 +f 753/847/753 761/856/761 768/857/762 760/848/754 +f 754/849/755 762/858/763 761/859/761 753/850/753 +f 755/851/756 763/860/764 762/858/763 754/849/755 +f 756/852/757 764/861/765 763/860/764 755/851/756 +f 757/853/758 765/862/766 764/861/765 756/852/757 +f 758/854/759 766/863/767 765/862/766 757/853/758 +f 759/855/760 767/864/768 766/863/767 758/854/759 +f 760/848/754 768/857/762 767/864/768 759/855/760 +f 761/856/761 769/865/769 776/866/770 768/857/762 +f 762/858/763 770/867/771 769/868/769 761/859/761 +f 763/860/764 771/869/772 770/867/771 762/858/763 +f 764/861/765 772/870/773 771/869/772 763/860/764 +f 765/862/766 773/871/774 772/870/773 764/861/765 +f 766/863/767 774/872/775 773/871/774 765/862/766 +f 767/864/768 775/873/776 774/872/775 766/863/767 +f 768/857/762 776/866/770 775/873/776 767/864/768 +f 769/865/769 777/874/777 784/875/778 776/866/770 +f 770/867/771 778/876/779 777/877/777 769/868/769 +f 771/869/772 779/878/780 778/876/779 770/867/771 +f 772/870/773 780/879/781 779/878/780 771/869/772 +f 773/871/774 781/880/782 780/879/781 772/870/773 +f 774/872/775 782/881/783 781/880/782 773/871/774 +f 775/873/776 783/882/784 782/881/783 774/872/775 +f 776/866/770 784/875/778 783/882/784 775/873/776 +f 777/874/777 785/883/785 792/884/786 784/875/778 +f 778/876/779 786/885/787 785/886/785 777/877/777 +f 779/878/780 787/887/788 786/885/787 778/876/779 +f 780/879/781 788/888/789 787/887/788 779/878/780 +f 781/880/782 789/889/790 788/888/789 780/879/781 +f 782/881/783 790/890/791 789/889/790 781/880/782 +f 783/882/784 791/891/792 790/890/791 782/881/783 +f 784/875/778 792/884/786 791/891/792 783/882/784 +f 785/883/785 793/892/793 800/893/794 792/884/786 +f 786/885/787 794/894/795 793/895/793 785/886/785 +f 787/887/788 795/896/796 794/894/795 786/885/787 +f 788/888/789 796/897/797 795/896/796 787/887/788 +f 789/889/790 797/898/798 796/897/797 788/888/789 +f 790/890/791 798/899/799 797/898/798 789/889/790 +f 791/891/792 799/900/800 798/899/799 790/890/791 +f 792/884/786 800/893/794 799/900/800 791/891/792 +f 793/892/793 801/901/801 808/902/802 800/893/794 +f 794/894/795 802/903/803 801/904/801 793/895/793 +f 795/896/796 803/905/804 802/903/803 794/894/795 +f 796/897/797 804/906/805 803/905/804 795/896/796 +f 797/898/798 805/907/806 804/906/805 796/897/797 +f 798/899/799 806/908/807 805/907/806 797/898/798 +f 799/900/800 807/909/808 806/908/807 798/899/799 +f 800/893/794 808/902/802 807/909/808 799/900/800 +f 801/901/801 809/910/809 816/911/810 808/902/802 +f 802/903/803 810/912/811 809/913/809 801/904/801 +f 803/905/804 811/914/812 810/912/811 802/903/803 +f 804/906/805 812/915/813 811/914/812 803/905/804 +f 805/907/806 813/916/814 812/915/813 804/906/805 +f 806/908/807 814/917/815 813/916/814 805/907/806 +f 807/909/808 815/918/816 814/917/815 806/908/807 +f 808/902/802 816/911/810 815/918/816 807/909/808 +f 809/910/809 817/919/817 824/920/818 816/911/810 +f 810/912/811 818/921/819 817/922/817 809/913/809 +f 811/914/812 819/923/820 818/921/819 810/912/811 +f 812/915/813 820/924/821 819/923/820 811/914/812 +f 813/916/814 821/925/822 820/924/821 812/915/813 +f 814/917/815 822/926/823 821/925/822 813/916/814 +f 815/918/816 823/927/824 822/926/823 814/917/815 +f 816/911/810 824/920/818 823/927/824 815/918/816 +f 817/919/817 825/928/825 832/929/826 824/920/818 +f 818/921/819 826/930/827 825/931/825 817/922/817 +f 819/923/820 827/932/828 826/930/827 818/921/819 +f 820/924/821 828/933/829 827/932/828 819/923/820 +f 821/925/822 829/934/830 828/933/829 820/924/821 +f 822/926/823 830/935/831 829/934/830 821/925/822 +f 823/927/824 831/936/832 830/935/831 822/926/823 +f 824/920/818 832/929/826 831/936/832 823/927/824 +f 833/937/833 841/938/834 848/939/835 840/940/836 +f 834/941/837 842/942/838 841/943/834 833/944/833 +f 835/945/839 843/946/840 842/942/838 834/941/837 +f 836/947/841 844/948/842 843/946/840 835/945/839 +f 837/949/843 845/950/844 844/948/842 836/947/841 +f 838/951/845 846/952/846 845/950/844 837/949/843 +f 839/953/847 847/954/848 846/952/846 838/951/845 +f 840/940/836 848/939/835 847/954/848 839/953/847 +f 841/938/834 849/955/849 856/956/850 848/939/835 +f 842/942/838 850/957/851 849/958/849 841/943/834 +f 843/946/840 851/959/852 850/957/851 842/942/838 +f 844/948/842 852/960/853 851/959/852 843/946/840 +f 845/950/844 853/961/854 852/960/853 844/948/842 +f 846/952/846 854/962/855 853/961/854 845/950/844 +f 847/954/848 855/963/856 854/962/855 846/952/846 +f 848/939/835 856/956/850 855/963/856 847/954/848 +f 849/955/849 857/964/857 864/965/858 856/956/850 +f 850/957/851 858/966/859 857/967/857 849/958/849 +f 851/959/852 859/968/860 858/966/859 850/957/851 +f 852/960/853 860/969/861 859/968/860 851/959/852 +f 853/961/854 861/970/862 860/969/861 852/960/853 +f 854/962/855 862/971/863 861/970/862 853/961/854 +f 855/963/856 863/972/864 862/971/863 854/962/855 +f 856/956/850 864/965/858 863/972/864 855/963/856 +f 857/964/857 865/973/865 872/974/866 864/965/858 +f 858/966/859 866/975/867 865/976/865 857/967/857 +f 859/968/860 867/977/868 866/975/867 858/966/859 +f 860/969/861 868/978/869 867/977/868 859/968/860 +f 861/970/862 869/979/870 868/978/869 860/969/861 +f 862/971/863 870/980/871 869/979/870 861/970/862 +f 863/972/864 871/981/872 870/980/871 862/971/863 +f 864/965/858 872/974/866 871/981/872 863/972/864 +f 865/973/865 873/982/873 880/983/874 872/974/866 +f 866/975/867 874/984/875 873/985/873 865/976/865 +f 867/977/868 875/986/876 874/984/875 866/975/867 +f 868/978/869 876/987/877 875/986/876 867/977/868 +f 869/979/870 877/988/878 876/987/877 868/978/869 +f 870/980/871 878/989/879 877/988/878 869/979/870 +f 871/981/872 879/990/880 878/989/879 870/980/871 +f 872/974/866 880/983/874 879/990/880 871/981/872 +f 873/982/873 881/991/881 888/992/882 880/983/874 +f 874/984/875 882/993/883 881/994/881 873/985/873 +f 875/986/876 883/995/884 882/993/883 874/984/875 +f 876/987/877 884/996/885 883/995/884 875/986/876 +f 877/988/878 885/997/886 884/996/885 876/987/877 +f 878/989/879 886/998/887 885/997/886 877/988/878 +f 879/990/880 887/999/888 886/998/887 878/989/879 +f 880/983/874 888/992/882 887/999/888 879/990/880 +f 881/991/881 889/1000/889 896/1001/890 888/992/882 +f 882/993/883 890/1002/891 889/1003/889 881/994/881 +f 883/995/884 891/1004/892 890/1002/891 882/993/883 +f 884/996/885 892/1005/893 891/1004/892 883/995/884 +f 885/997/886 893/1006/894 892/1005/893 884/996/885 +f 886/998/887 894/1007/895 893/1006/894 885/997/886 +f 887/999/888 895/1008/896 894/1007/895 886/998/887 +f 888/992/882 896/1001/890 895/1008/896 887/999/888 +f 889/1000/889 897/1009/897 904/1010/898 896/1001/890 +f 890/1002/891 898/1011/899 897/1012/897 889/1003/889 +f 891/1004/892 899/1013/900 898/1011/899 890/1002/891 +f 892/1005/893 900/1014/901 899/1013/900 891/1004/892 +f 893/1006/894 901/1015/902 900/1014/901 892/1005/893 +f 894/1007/895 902/1016/903 901/1015/902 893/1006/894 +f 895/1008/896 903/1017/904 902/1016/903 894/1007/895 +f 896/1001/890 904/1010/898 903/1017/904 895/1008/896 +f 897/1009/897 905/1018/905 912/1019/906 904/1010/898 +f 898/1011/899 906/1020/907 905/1021/905 897/1012/897 +f 899/1013/900 907/1022/908 906/1020/907 898/1011/899 +f 900/1014/901 908/1023/909 907/1022/908 899/1013/900 +f 901/1015/902 909/1024/910 908/1023/909 900/1014/901 +f 902/1016/903 910/1025/911 909/1024/910 901/1015/902 +f 903/1017/904 911/1026/912 910/1025/911 902/1016/903 +f 904/1010/898 912/1019/906 911/1026/912 903/1017/904 +f 905/1018/905 913/1027/913 920/1028/914 912/1019/906 +f 906/1020/907 914/1029/915 913/1030/913 905/1021/905 +f 907/1022/908 915/1031/916 914/1029/915 906/1020/907 +f 908/1023/909 916/1032/917 915/1031/916 907/1022/908 +f 909/1024/910 917/1033/918 916/1032/917 908/1023/909 +f 910/1025/911 918/1034/919 917/1033/918 909/1024/910 +f 911/1026/912 919/1035/920 918/1034/919 910/1025/911 +f 912/1019/906 920/1028/914 919/1035/920 911/1026/912 +f 913/1027/913 921/1036/921 928/1037/922 920/1028/914 +f 914/1029/915 922/1038/923 921/1039/921 913/1030/913 +f 915/1031/916 923/1040/924 922/1038/923 914/1029/915 +f 916/1032/917 924/1041/925 923/1040/924 915/1031/916 +f 917/1033/918 925/1042/926 924/1041/925 916/1032/917 +f 918/1034/919 926/1043/927 925/1042/926 917/1033/918 +f 919/1035/920 927/1044/928 926/1043/927 918/1034/919 +f 920/1028/914 928/1037/922 927/1044/928 919/1035/920 +f 921/1036/921 929/1045/929 936/1046/930 928/1037/922 +f 922/1038/923 930/1047/931 929/1048/929 921/1039/921 +f 923/1040/924 931/1049/932 930/1047/931 922/1038/923 +f 924/1041/925 932/1050/933 931/1049/932 923/1040/924 +f 925/1042/926 933/1051/934 932/1050/933 924/1041/925 +f 926/1043/927 934/1052/935 933/1051/934 925/1042/926 +f 927/1044/928 935/1053/936 934/1052/935 926/1043/927 +f 928/1037/922 936/1046/930 935/1053/936 927/1044/928 +f 937/1054/937 945/1055/938 952/1056/939 944/1057/940 +f 938/1058/941 946/1059/942 945/1060/938 937/1061/937 +f 939/1062/943 947/1063/944 946/1059/942 938/1058/941 +f 940/1064/945 948/1065/946 947/1063/944 939/1062/943 +f 941/1066/947 949/1067/948 948/1065/946 940/1064/945 +f 942/1068/949 950/1069/950 949/1067/948 941/1066/947 +f 943/1070/951 951/1071/952 950/1069/950 942/1068/949 +f 944/1057/940 952/1056/939 951/1071/952 943/1070/951 +f 945/1055/938 953/1072/953 960/1073/954 952/1056/939 +f 946/1059/942 954/1074/955 953/1075/953 945/1060/938 +f 947/1063/944 955/1076/956 954/1074/955 946/1059/942 +f 948/1065/946 956/1077/957 955/1076/956 947/1063/944 +f 949/1067/948 957/1078/958 956/1077/957 948/1065/946 +f 950/1069/950 958/1079/959 957/1078/958 949/1067/948 +f 951/1071/952 959/1080/960 958/1079/959 950/1069/950 +f 952/1056/939 960/1073/954 959/1080/960 951/1071/952 +f 953/1072/953 961/1081/961 968/1082/962 960/1073/954 +f 954/1074/955 962/1083/963 961/1084/961 953/1075/953 +f 955/1076/956 963/1085/964 962/1083/963 954/1074/955 +f 956/1077/957 964/1086/965 963/1085/964 955/1076/956 +f 957/1078/958 965/1087/966 964/1086/965 956/1077/957 +f 958/1079/959 966/1088/967 965/1087/966 957/1078/958 +f 959/1080/960 967/1089/968 966/1088/967 958/1079/959 +f 960/1073/954 968/1082/962 967/1089/968 959/1080/960 +f 961/1081/961 969/1090/969 976/1091/970 968/1082/962 +f 962/1083/963 970/1092/971 969/1093/969 961/1084/961 +f 963/1085/964 971/1094/972 970/1092/971 962/1083/963 +f 964/1086/965 972/1095/973 971/1094/972 963/1085/964 +f 965/1087/966 973/1096/974 972/1095/973 964/1086/965 +f 966/1088/967 974/1097/975 973/1096/974 965/1087/966 +f 967/1089/968 975/1098/976 974/1097/975 966/1088/967 +f 968/1082/962 976/1091/970 975/1098/976 967/1089/968 +f 969/1090/969 977/1099/977 984/1100/978 976/1091/970 +f 970/1092/971 978/1101/979 977/1102/977 969/1093/969 +f 971/1094/972 979/1103/980 978/1101/979 970/1092/971 +f 972/1095/973 980/1104/981 979/1103/980 971/1094/972 +f 973/1096/974 981/1105/982 980/1104/981 972/1095/973 +f 974/1097/975 982/1106/983 981/1105/982 973/1096/974 +f 975/1098/976 983/1107/984 982/1106/983 974/1097/975 +f 976/1091/970 984/1100/978 983/1107/984 975/1098/976 +f 977/1099/977 985/1108/985 992/1109/986 984/1100/978 +f 978/1101/979 986/1110/987 985/1111/985 977/1102/977 +f 979/1103/980 987/1112/988 986/1110/987 978/1101/979 +f 980/1104/981 988/1113/989 987/1112/988 979/1103/980 +f 981/1105/982 989/1114/990 988/1113/989 980/1104/981 +f 982/1106/983 990/1115/991 989/1114/990 981/1105/982 +f 983/1107/984 991/1116/992 990/1115/991 982/1106/983 +f 984/1100/978 992/1109/986 991/1116/992 983/1107/984 +f 985/1108/985 993/1117/993 1000/1118/994 992/1109/986 +f 986/1110/987 994/1119/995 993/1120/993 985/1111/985 +f 987/1112/988 995/1121/996 994/1119/995 986/1110/987 +f 988/1113/989 996/1122/997 995/1121/996 987/1112/988 +f 989/1114/990 997/1123/998 996/1122/997 988/1113/989 +f 990/1115/991 998/1124/999 997/1123/998 989/1114/990 +f 991/1116/992 999/1125/1000 998/1124/999 990/1115/991 +f 992/1109/986 1000/1118/994 999/1125/1000 991/1116/992 +f 993/1117/993 1001/1126/1001 1008/1127/1002 1000/1118/994 +f 994/1119/995 1002/1128/1003 1001/1129/1001 993/1120/993 +f 995/1121/996 1003/1130/1004 1002/1128/1003 994/1119/995 +f 996/1122/997 1004/1131/1005 1003/1130/1004 995/1121/996 +f 997/1123/998 1005/1132/1006 1004/1131/1005 996/1122/997 +f 998/1124/999 1006/1133/1007 1005/1132/1006 997/1123/998 +f 999/1125/1000 1007/1134/1008 1006/1133/1007 998/1124/999 +f 1000/1118/994 1008/1127/1002 1007/1134/1008 999/1125/1000 +f 1001/1126/1001 1009/1135/1009 1016/1136/1010 1008/1127/1002 +f 1002/1128/1003 1010/1137/1011 1009/1138/1009 1001/1129/1001 +f 1003/1130/1004 1011/1139/1012 1010/1137/1011 1002/1128/1003 +f 1004/1131/1005 1012/1140/1013 1011/1139/1012 1003/1130/1004 +f 1005/1132/1006 1013/1141/1014 1012/1140/1013 1004/1131/1005 +f 1006/1133/1007 1014/1142/1015 1013/1141/1014 1005/1132/1006 +f 1007/1134/1008 1015/1143/1016 1014/1142/1015 1006/1133/1007 +f 1008/1127/1002 1016/1136/1010 1015/1143/1016 1007/1134/1008 +f 1009/1135/1009 1017/1144/1017 1024/1145/1018 1016/1136/1010 +f 1010/1137/1011 1018/1146/1019 1017/1147/1017 1009/1138/1009 +f 1011/1139/1012 1019/1148/1020 1018/1146/1019 1010/1137/1011 +f 1012/1140/1013 1020/1149/1021 1019/1148/1020 1011/1139/1012 +f 1013/1141/1014 1021/1150/1022 1020/1149/1021 1012/1140/1013 +f 1014/1142/1015 1022/1151/1023 1021/1150/1022 1013/1141/1014 +f 1015/1143/1016 1023/1152/1024 1022/1151/1023 1014/1142/1015 +f 1016/1136/1010 1024/1145/1018 1023/1152/1024 1015/1143/1016 +f 1017/1144/1017 1025/1153/1025 1032/1154/1026 1024/1145/1018 +f 1018/1146/1019 1026/1155/1027 1025/1156/1025 1017/1147/1017 +f 1019/1148/1020 1027/1157/1028 1026/1155/1027 1018/1146/1019 +f 1020/1149/1021 1028/1158/1029 1027/1157/1028 1019/1148/1020 +f 1021/1150/1022 1029/1159/1030 1028/1158/1029 1020/1149/1021 +f 1022/1151/1023 1030/1160/1031 1029/1159/1030 1021/1150/1022 +f 1023/1152/1024 1031/1161/1032 1030/1160/1031 1022/1151/1023 +f 1024/1145/1018 1032/1154/1026 1031/1161/1032 1023/1152/1024 +f 1025/1153/1025 1033/1162/1033 1040/1163/1034 1032/1154/1026 +f 1026/1155/1027 1034/1164/1035 1033/1165/1033 1025/1156/1025 +f 1027/1157/1028 1035/1166/1036 1034/1164/1035 1026/1155/1027 +f 1028/1158/1029 1036/1167/1037 1035/1166/1036 1027/1157/1028 +f 1029/1159/1030 1037/1168/1038 1036/1167/1037 1028/1158/1029 +f 1030/1160/1031 1038/1169/1039 1037/1168/1038 1029/1159/1030 +f 1031/1161/1032 1039/1170/1040 1038/1169/1039 1030/1160/1031 +f 1032/1154/1026 1040/1163/1034 1039/1170/1040 1031/1161/1032 +f 1041/1171/1041 1049/1172/1042 1056/1173/1043 1048/1174/1044 +f 1042/1175/1045 1050/1176/1046 1049/1177/1042 1041/1178/1041 +f 1043/1179/1047 1051/1180/1048 1050/1176/1046 1042/1175/1045 +f 1044/1181/1049 1052/1182/1050 1051/1180/1048 1043/1179/1047 +f 1045/1183/1051 1053/1184/1052 1052/1182/1050 1044/1181/1049 +f 1046/1185/1053 1054/1186/1054 1053/1184/1052 1045/1183/1051 +f 1047/1187/1055 1055/1188/1056 1054/1186/1054 1046/1185/1053 +f 1048/1174/1044 1056/1173/1043 1055/1188/1056 1047/1187/1055 +f 1049/1172/1042 1057/1189/1057 1064/1190/1058 1056/1173/1043 +f 1050/1176/1046 1058/1191/1059 1057/1192/1057 1049/1177/1042 +f 1051/1180/1048 1059/1193/1060 1058/1191/1059 1050/1176/1046 +f 1052/1182/1050 1060/1194/1061 1059/1193/1060 1051/1180/1048 +f 1053/1184/1052 1061/1195/1062 1060/1194/1061 1052/1182/1050 +f 1054/1186/1054 1062/1196/1063 1061/1195/1062 1053/1184/1052 +f 1055/1188/1056 1063/1197/1064 1062/1196/1063 1054/1186/1054 +f 1056/1173/1043 1064/1190/1058 1063/1197/1064 1055/1188/1056 +f 1057/1189/1057 1065/1198/1065 1072/1199/1066 1064/1190/1058 +f 1058/1191/1059 1066/1200/1067 1065/1201/1065 1057/1192/1057 +f 1059/1193/1060 1067/1202/1068 1066/1200/1067 1058/1191/1059 +f 1060/1194/1061 1068/1203/1069 1067/1202/1068 1059/1193/1060 +f 1061/1195/1062 1069/1204/1070 1068/1203/1069 1060/1194/1061 +f 1062/1196/1063 1070/1205/1071 1069/1204/1070 1061/1195/1062 +f 1063/1197/1064 1071/1206/1072 1070/1205/1071 1062/1196/1063 +f 1064/1190/1058 1072/1199/1066 1071/1206/1072 1063/1197/1064 +f 1065/1198/1065 1073/1207/1073 1080/1208/1074 1072/1199/1066 +f 1066/1200/1067 1074/1209/1075 1073/1210/1073 1065/1201/1065 +f 1067/1202/1068 1075/1211/1076 1074/1209/1075 1066/1200/1067 +f 1068/1203/1069 1076/1212/1077 1075/1211/1076 1067/1202/1068 +f 1069/1204/1070 1077/1213/1078 1076/1212/1077 1068/1203/1069 +f 1070/1205/1071 1078/1214/1079 1077/1213/1078 1069/1204/1070 +f 1071/1206/1072 1079/1215/1080 1078/1214/1079 1070/1205/1071 +f 1072/1199/1066 1080/1208/1074 1079/1215/1080 1071/1206/1072 +f 1073/1207/1073 1081/1216/1081 1088/1217/1082 1080/1208/1074 +f 1074/1209/1075 1082/1218/1083 1081/1219/1081 1073/1210/1073 +f 1075/1211/1076 1083/1220/1084 1082/1218/1083 1074/1209/1075 +f 1076/1212/1077 1084/1221/1085 1083/1220/1084 1075/1211/1076 +f 1077/1213/1078 1085/1222/1086 1084/1221/1085 1076/1212/1077 +f 1078/1214/1079 1086/1223/1087 1085/1222/1086 1077/1213/1078 +f 1079/1215/1080 1087/1224/1088 1086/1223/1087 1078/1214/1079 +f 1080/1208/1074 1088/1217/1082 1087/1224/1088 1079/1215/1080 +f 1081/1216/1081 1089/1225/1089 1096/1226/1090 1088/1217/1082 +f 1082/1218/1083 1090/1227/1091 1089/1228/1089 1081/1219/1081 +f 1083/1220/1084 1091/1229/1092 1090/1227/1091 1082/1218/1083 +f 1084/1221/1085 1092/1230/1093 1091/1229/1092 1083/1220/1084 +f 1085/1222/1086 1093/1231/1094 1092/1230/1093 1084/1221/1085 +f 1086/1223/1087 1094/1232/1095 1093/1231/1094 1085/1222/1086 +f 1087/1224/1088 1095/1233/1096 1094/1232/1095 1086/1223/1087 +f 1088/1217/1082 1096/1226/1090 1095/1233/1096 1087/1224/1088 +f 1089/1225/1089 1097/1234/1097 1104/1235/1098 1096/1226/1090 +f 1090/1227/1091 1098/1236/1099 1097/1237/1097 1089/1228/1089 +f 1091/1229/1092 1099/1238/1100 1098/1236/1099 1090/1227/1091 +f 1092/1230/1093 1100/1239/1101 1099/1238/1100 1091/1229/1092 +f 1093/1231/1094 1101/1240/1102 1100/1239/1101 1092/1230/1093 +f 1094/1232/1095 1102/1241/1103 1101/1240/1102 1093/1231/1094 +f 1095/1233/1096 1103/1242/1104 1102/1241/1103 1094/1232/1095 +f 1096/1226/1090 1104/1235/1098 1103/1242/1104 1095/1233/1096 +f 1097/1234/1097 1105/1243/1105 1112/1244/1106 1104/1235/1098 +f 1098/1236/1099 1106/1245/1107 1105/1246/1105 1097/1237/1097 +f 1099/1238/1100 1107/1247/1108 1106/1245/1107 1098/1236/1099 +f 1100/1239/1101 1108/1248/1109 1107/1247/1108 1099/1238/1100 +f 1101/1240/1102 1109/1249/1110 1108/1248/1109 1100/1239/1101 +f 1102/1241/1103 1110/1250/1111 1109/1249/1110 1101/1240/1102 +f 1103/1242/1104 1111/1251/1112 1110/1250/1111 1102/1241/1103 +f 1104/1235/1098 1112/1244/1106 1111/1251/1112 1103/1242/1104 +f 1105/1243/1105 1113/1252/1113 1120/1253/1114 1112/1244/1106 +f 1106/1245/1107 1114/1254/1115 1113/1255/1113 1105/1246/1105 +f 1107/1247/1108 1115/1256/1116 1114/1254/1115 1106/1245/1107 +f 1108/1248/1109 1116/1257/1117 1115/1256/1116 1107/1247/1108 +f 1109/1249/1110 1117/1258/1118 1116/1257/1117 1108/1248/1109 +f 1110/1250/1111 1118/1259/1119 1117/1258/1118 1109/1249/1110 +f 1111/1251/1112 1119/1260/1120 1118/1259/1119 1110/1250/1111 +f 1112/1244/1106 1120/1253/1114 1119/1260/1120 1111/1251/1112 +f 1113/1252/1113 1121/1261/1121 1128/1262/1122 1120/1253/1114 +f 1114/1254/1115 1122/1263/1123 1121/1264/1121 1113/1255/1113 +f 1115/1256/1116 1123/1265/1124 1122/1263/1123 1114/1254/1115 +f 1116/1257/1117 1124/1266/1125 1123/1265/1124 1115/1256/1116 +f 1117/1258/1118 1125/1267/1126 1124/1266/1125 1116/1257/1117 +f 1118/1259/1119 1126/1268/1127 1125/1267/1126 1117/1258/1118 +f 1119/1260/1120 1127/1269/1128 1126/1268/1127 1118/1259/1119 +f 1120/1253/1114 1128/1262/1122 1127/1269/1128 1119/1260/1120 +f 1121/1261/1121 1129/1270/1129 1136/1271/1130 1128/1262/1122 +f 1122/1263/1123 1130/1272/1131 1129/1273/1129 1121/1264/1121 +f 1123/1265/1124 1131/1274/1132 1130/1272/1131 1122/1263/1123 +f 1124/1266/1125 1132/1275/1133 1131/1274/1132 1123/1265/1124 +f 1125/1267/1126 1133/1276/1134 1132/1275/1133 1124/1266/1125 +f 1126/1268/1127 1134/1277/1135 1133/1276/1134 1125/1267/1126 +f 1127/1269/1128 1135/1278/1136 1134/1277/1135 1126/1268/1127 +f 1128/1262/1122 1136/1271/1130 1135/1278/1136 1127/1269/1128 +f 1129/1270/1129 1137/1279/1137 1144/1280/1138 1136/1271/1130 +f 1130/1272/1131 1138/1281/1139 1137/1282/1137 1129/1273/1129 +f 1131/1274/1132 1139/1283/1140 1138/1281/1139 1130/1272/1131 +f 1132/1275/1133 1140/1284/1141 1139/1283/1140 1131/1274/1132 +f 1133/1276/1134 1141/1285/1142 1140/1284/1141 1132/1275/1133 +f 1134/1277/1135 1142/1286/1143 1141/1285/1142 1133/1276/1134 +f 1135/1278/1136 1143/1287/1144 1142/1286/1143 1134/1277/1135 +f 1136/1271/1130 1144/1280/1138 1143/1287/1144 1135/1278/1136 +f 1145/1288/1145 1153/1289/1146 1160/1290/1147 1152/1291/1148 +f 1146/1292/1149 1154/1293/1150 1153/1294/1146 1145/1295/1145 +f 1147/1296/1151 1155/1297/1152 1154/1293/1150 1146/1292/1149 +f 1148/1298/1153 1156/1299/1154 1155/1297/1152 1147/1296/1151 +f 1149/1300/1155 1157/1301/1156 1156/1299/1154 1148/1298/1153 +f 1150/1302/1157 1158/1303/1158 1157/1301/1156 1149/1300/1155 +f 1151/1304/1159 1159/1305/1160 1158/1303/1158 1150/1302/1157 +f 1152/1291/1148 1160/1290/1147 1159/1305/1160 1151/1304/1159 +f 1153/1289/1146 1161/1306/1161 1168/1307/1162 1160/1290/1147 +f 1154/1293/1150 1162/1308/1163 1161/1309/1161 1153/1294/1146 +f 1155/1297/1152 1163/1310/1164 1162/1308/1163 1154/1293/1150 +f 1156/1299/1154 1164/1311/1165 1163/1310/1164 1155/1297/1152 +f 1157/1301/1156 1165/1312/1166 1164/1311/1165 1156/1299/1154 +f 1158/1303/1158 1166/1313/1167 1165/1312/1166 1157/1301/1156 +f 1159/1305/1160 1167/1314/1168 1166/1313/1167 1158/1303/1158 +f 1160/1290/1147 1168/1307/1162 1167/1314/1168 1159/1305/1160 +f 1161/1306/1161 1169/1315/1169 1176/1316/1170 1168/1307/1162 +f 1162/1308/1163 1170/1317/1171 1169/1318/1169 1161/1309/1161 +f 1163/1310/1164 1171/1319/1172 1170/1317/1171 1162/1308/1163 +f 1164/1311/1165 1172/1320/1173 1171/1319/1172 1163/1310/1164 +f 1165/1312/1166 1173/1321/1174 1172/1320/1173 1164/1311/1165 +f 1166/1313/1167 1174/1322/1175 1173/1321/1174 1165/1312/1166 +f 1167/1314/1168 1175/1323/1176 1174/1322/1175 1166/1313/1167 +f 1168/1307/1162 1176/1316/1170 1175/1323/1176 1167/1314/1168 +f 1169/1315/1169 1177/1324/1177 1184/1325/1178 1176/1316/1170 +f 1170/1317/1171 1178/1326/1179 1177/1327/1177 1169/1318/1169 +f 1171/1319/1172 1179/1328/1180 1178/1326/1179 1170/1317/1171 +f 1172/1320/1173 1180/1329/1181 1179/1328/1180 1171/1319/1172 +f 1173/1321/1174 1181/1330/1182 1180/1329/1181 1172/1320/1173 +f 1174/1322/1175 1182/1331/1183 1181/1330/1182 1173/1321/1174 +f 1175/1323/1176 1183/1332/1184 1182/1331/1183 1174/1322/1175 +f 1176/1316/1170 1184/1325/1178 1183/1332/1184 1175/1323/1176 +f 1177/1324/1177 1185/1333/1185 1192/1334/1186 1184/1325/1178 +f 1178/1326/1179 1186/1335/1187 1185/1336/1185 1177/1327/1177 +f 1179/1328/1180 1187/1337/1188 1186/1335/1187 1178/1326/1179 +f 1180/1329/1181 1188/1338/1189 1187/1337/1188 1179/1328/1180 +f 1181/1330/1182 1189/1339/1190 1188/1338/1189 1180/1329/1181 +f 1182/1331/1183 1190/1340/1191 1189/1339/1190 1181/1330/1182 +f 1183/1332/1184 1191/1341/1192 1190/1340/1191 1182/1331/1183 +f 1184/1325/1178 1192/1334/1186 1191/1341/1192 1183/1332/1184 +f 1185/1333/1185 1193/1342/1193 1200/1343/1194 1192/1334/1186 +f 1186/1335/1187 1194/1344/1195 1193/1345/1193 1185/1336/1185 +f 1187/1337/1188 1195/1346/1196 1194/1344/1195 1186/1335/1187 +f 1188/1338/1189 1196/1347/1197 1195/1346/1196 1187/1337/1188 +f 1189/1339/1190 1197/1348/1198 1196/1347/1197 1188/1338/1189 +f 1190/1340/1191 1198/1349/1199 1197/1348/1198 1189/1339/1190 +f 1191/1341/1192 1199/1350/1200 1198/1349/1199 1190/1340/1191 +f 1192/1334/1186 1200/1343/1194 1199/1350/1200 1191/1341/1192 +f 1193/1342/1193 1201/1351/1201 1208/1352/1202 1200/1343/1194 +f 1194/1344/1195 1202/1353/1203 1201/1354/1201 1193/1345/1193 +f 1195/1346/1196 1203/1355/1204 1202/1353/1203 1194/1344/1195 +f 1196/1347/1197 1204/1356/1205 1203/1355/1204 1195/1346/1196 +f 1197/1348/1198 1205/1357/1206 1204/1356/1205 1196/1347/1197 +f 1198/1349/1199 1206/1358/1207 1205/1357/1206 1197/1348/1198 +f 1199/1350/1200 1207/1359/1208 1206/1358/1207 1198/1349/1199 +f 1200/1343/1194 1208/1352/1202 1207/1359/1208 1199/1350/1200 +f 1201/1351/1201 1209/1360/1209 1216/1361/1210 1208/1352/1202 +f 1202/1353/1203 1210/1362/1211 1209/1363/1209 1201/1354/1201 +f 1203/1355/1204 1211/1364/1212 1210/1362/1211 1202/1353/1203 +f 1204/1356/1205 1212/1365/1213 1211/1364/1212 1203/1355/1204 +f 1205/1357/1206 1213/1366/1214 1212/1365/1213 1204/1356/1205 +f 1206/1358/1207 1214/1367/1215 1213/1366/1214 1205/1357/1206 +f 1207/1359/1208 1215/1368/1216 1214/1367/1215 1206/1358/1207 +f 1208/1352/1202 1216/1361/1210 1215/1368/1216 1207/1359/1208 +f 1209/1360/1209 1217/1369/1217 1224/1370/1218 1216/1361/1210 +f 1210/1362/1211 1218/1371/1219 1217/1372/1217 1209/1363/1209 +f 1211/1364/1212 1219/1373/1220 1218/1371/1219 1210/1362/1211 +f 1212/1365/1213 1220/1374/1221 1219/1373/1220 1211/1364/1212 +f 1213/1366/1214 1221/1375/1222 1220/1374/1221 1212/1365/1213 +f 1214/1367/1215 1222/1376/1223 1221/1375/1222 1213/1366/1214 +f 1215/1368/1216 1223/1377/1224 1222/1376/1223 1214/1367/1215 +f 1216/1361/1210 1224/1370/1218 1223/1377/1224 1215/1368/1216 +f 1217/1369/1217 1225/1378/1225 1232/1379/1226 1224/1370/1218 +f 1218/1371/1219 1226/1380/1227 1225/1381/1225 1217/1372/1217 +f 1219/1373/1220 1227/1382/1228 1226/1380/1227 1218/1371/1219 +f 1220/1374/1221 1228/1383/1229 1227/1382/1228 1219/1373/1220 +f 1221/1375/1222 1229/1384/1230 1228/1383/1229 1220/1374/1221 +f 1222/1376/1223 1230/1385/1231 1229/1384/1230 1221/1375/1222 +f 1223/1377/1224 1231/1386/1232 1230/1385/1231 1222/1376/1223 +f 1224/1370/1218 1232/1379/1226 1231/1386/1232 1223/1377/1224 +f 1225/1378/1225 1233/1387/1233 1240/1388/1234 1232/1379/1226 +f 1226/1380/1227 1234/1389/1235 1233/1390/1233 1225/1381/1225 +f 1227/1382/1228 1235/1391/1236 1234/1389/1235 1226/1380/1227 +f 1228/1383/1229 1236/1392/1237 1235/1391/1236 1227/1382/1228 +f 1229/1384/1230 1237/1393/1238 1236/1392/1237 1228/1383/1229 +f 1230/1385/1231 1238/1394/1239 1237/1393/1238 1229/1384/1230 +f 1231/1386/1232 1239/1395/1240 1238/1394/1239 1230/1385/1231 +f 1232/1379/1226 1240/1388/1234 1239/1395/1240 1231/1386/1232 +f 1233/1387/1233 1241/1396/1241 1248/1397/1242 1240/1388/1234 +f 1234/1389/1235 1242/1398/1243 1241/1399/1241 1233/1390/1233 +f 1235/1391/1236 1243/1400/1244 1242/1398/1243 1234/1389/1235 +f 1236/1392/1237 1244/1401/1245 1243/1400/1244 1235/1391/1236 +f 1237/1393/1238 1245/1402/1246 1244/1401/1245 1236/1392/1237 +f 1238/1394/1239 1246/1403/1247 1245/1402/1246 1237/1393/1238 +f 1239/1395/1240 1247/1404/1248 1246/1403/1247 1238/1394/1239 +f 1240/1388/1234 1248/1397/1242 1247/1404/1248 1239/1395/1240 +f 1249/1405/1249 1257/1406/1250 1264/1407/1251 1256/1408/1252 +f 1250/1409/1253 1258/1410/1254 1257/1411/1250 1249/1412/1249 +f 1251/1413/1255 1259/1414/1256 1258/1410/1254 1250/1409/1253 +f 1252/1415/1257 1260/1416/1258 1259/1414/1256 1251/1413/1255 +f 1253/1417/1259 1261/1418/1260 1260/1416/1258 1252/1415/1257 +f 1254/1419/1261 1262/1420/1262 1261/1418/1260 1253/1417/1259 +f 1255/1421/1263 1263/1422/1264 1262/1420/1262 1254/1419/1261 +f 1256/1408/1252 1264/1407/1251 1263/1422/1264 1255/1421/1263 +f 1257/1406/1250 1265/1423/1265 1272/1424/1266 1264/1407/1251 +f 1258/1410/1254 1266/1425/1267 1265/1426/1265 1257/1411/1250 +f 1259/1414/1256 1267/1427/1268 1266/1425/1267 1258/1410/1254 +f 1260/1416/1258 1268/1428/1269 1267/1427/1268 1259/1414/1256 +f 1261/1418/1260 1269/1429/1270 1268/1428/1269 1260/1416/1258 +f 1262/1420/1262 1270/1430/1271 1269/1429/1270 1261/1418/1260 +f 1263/1422/1264 1271/1431/1272 1270/1430/1271 1262/1420/1262 +f 1264/1407/1251 1272/1424/1266 1271/1431/1272 1263/1422/1264 +f 1265/1423/1265 1273/1432/1273 1280/1433/1274 1272/1424/1266 +f 1266/1425/1267 1274/1434/1275 1273/1435/1273 1265/1426/1265 +f 1267/1427/1268 1275/1436/1276 1274/1434/1275 1266/1425/1267 +f 1268/1428/1269 1276/1437/1277 1275/1436/1276 1267/1427/1268 +f 1269/1429/1270 1277/1438/1278 1276/1437/1277 1268/1428/1269 +f 1270/1430/1271 1278/1439/1279 1277/1438/1278 1269/1429/1270 +f 1271/1431/1272 1279/1440/1280 1278/1439/1279 1270/1430/1271 +f 1272/1424/1266 1280/1433/1274 1279/1440/1280 1271/1431/1272 +f 1273/1432/1273 1281/1441/1281 1288/1442/1282 1280/1433/1274 +f 1274/1434/1275 1282/1443/1283 1281/1444/1281 1273/1435/1273 +f 1275/1436/1276 1283/1445/1284 1282/1443/1283 1274/1434/1275 +f 1276/1437/1277 1284/1446/1285 1283/1445/1284 1275/1436/1276 +f 1277/1438/1278 1285/1447/1286 1284/1446/1285 1276/1437/1277 +f 1278/1439/1279 1286/1448/1287 1285/1447/1286 1277/1438/1278 +f 1279/1440/1280 1287/1449/1288 1286/1448/1287 1278/1439/1279 +f 1280/1433/1274 1288/1442/1282 1287/1449/1288 1279/1440/1280 +f 1281/1441/1281 1289/1450/1289 1296/1451/1290 1288/1442/1282 +f 1282/1443/1283 1290/1452/1291 1289/1453/1289 1281/1444/1281 +f 1283/1445/1284 1291/1454/1292 1290/1452/1291 1282/1443/1283 +f 1284/1446/1285 1292/1455/1293 1291/1454/1292 1283/1445/1284 +f 1285/1447/1286 1293/1456/1294 1292/1455/1293 1284/1446/1285 +f 1286/1448/1287 1294/1457/1295 1293/1456/1294 1285/1447/1286 +f 1287/1449/1288 1295/1458/1296 1294/1457/1295 1286/1448/1287 +f 1288/1442/1282 1296/1451/1290 1295/1458/1296 1287/1449/1288 +f 1289/1450/1289 1297/1459/1297 1304/1460/1298 1296/1451/1290 +f 1290/1452/1291 1298/1461/1299 1297/1462/1297 1289/1453/1289 +f 1291/1454/1292 1299/1463/1300 1298/1461/1299 1290/1452/1291 +f 1292/1455/1293 1300/1464/1301 1299/1463/1300 1291/1454/1292 +f 1293/1456/1294 1301/1465/1302 1300/1464/1301 1292/1455/1293 +f 1294/1457/1295 1302/1466/1303 1301/1465/1302 1293/1456/1294 +f 1295/1458/1296 1303/1467/1304 1302/1466/1303 1294/1457/1295 +f 1296/1451/1290 1304/1460/1298 1303/1467/1304 1295/1458/1296 +f 1297/1459/1297 1305/1468/1305 1312/1469/1306 1304/1460/1298 +f 1298/1461/1299 1306/1470/1307 1305/1471/1305 1297/1462/1297 +f 1299/1463/1300 1307/1472/1308 1306/1470/1307 1298/1461/1299 +f 1300/1464/1301 1308/1473/1309 1307/1472/1308 1299/1463/1300 +f 1301/1465/1302 1309/1474/1310 1308/1473/1309 1300/1464/1301 +f 1302/1466/1303 1310/1475/1311 1309/1474/1310 1301/1465/1302 +f 1303/1467/1304 1311/1476/1312 1310/1475/1311 1302/1466/1303 +f 1304/1460/1298 1312/1469/1306 1311/1476/1312 1303/1467/1304 +f 1305/1468/1305 1313/1477/1313 1320/1478/1314 1312/1469/1306 +f 1306/1470/1307 1314/1479/1315 1313/1480/1313 1305/1471/1305 +f 1307/1472/1308 1315/1481/1316 1314/1479/1315 1306/1470/1307 +f 1308/1473/1309 1316/1482/1317 1315/1481/1316 1307/1472/1308 +f 1309/1474/1310 1317/1483/1318 1316/1482/1317 1308/1473/1309 +f 1310/1475/1311 1318/1484/1319 1317/1483/1318 1309/1474/1310 +f 1311/1476/1312 1319/1485/1320 1318/1484/1319 1310/1475/1311 +f 1312/1469/1306 1320/1478/1314 1319/1485/1320 1311/1476/1312 +f 1313/1477/1313 1321/1486/1321 1328/1487/1322 1320/1478/1314 +f 1314/1479/1315 1322/1488/1323 1321/1489/1321 1313/1480/1313 +f 1315/1481/1316 1323/1490/1324 1322/1488/1323 1314/1479/1315 +f 1316/1482/1317 1324/1491/1325 1323/1490/1324 1315/1481/1316 +f 1317/1483/1318 1325/1492/1326 1324/1491/1325 1316/1482/1317 +f 1318/1484/1319 1326/1493/1327 1325/1492/1326 1317/1483/1318 +f 1319/1485/1320 1327/1494/1328 1326/1493/1327 1318/1484/1319 +f 1320/1478/1314 1328/1487/1322 1327/1494/1328 1319/1485/1320 +f 1321/1486/1321 1329/1495/1329 1336/1496/1330 1328/1487/1322 +f 1322/1488/1323 1330/1497/1331 1329/1498/1329 1321/1489/1321 +f 1323/1490/1324 1331/1499/1332 1330/1497/1331 1322/1488/1323 +f 1324/1491/1325 1332/1500/1333 1331/1499/1332 1323/1490/1324 +f 1325/1492/1326 1333/1501/1334 1332/1500/1333 1324/1491/1325 +f 1326/1493/1327 1334/1502/1335 1333/1501/1334 1325/1492/1326 +f 1327/1494/1328 1335/1503/1336 1334/1502/1335 1326/1493/1327 +f 1328/1487/1322 1336/1496/1330 1335/1503/1336 1327/1494/1328 +f 1329/1495/1329 1337/1504/1337 1344/1505/1338 1336/1496/1330 +f 1330/1497/1331 1338/1506/1339 1337/1507/1337 1329/1498/1329 +f 1331/1499/1332 1339/1508/1340 1338/1506/1339 1330/1497/1331 +f 1332/1500/1333 1340/1509/1341 1339/1508/1340 1331/1499/1332 +f 1333/1501/1334 1341/1510/1342 1340/1509/1341 1332/1500/1333 +f 1334/1502/1335 1342/1511/1343 1341/1510/1342 1333/1501/1334 +f 1335/1503/1336 1343/1512/1344 1342/1511/1343 1334/1502/1335 +f 1336/1496/1330 1344/1505/1338 1343/1512/1344 1335/1503/1336 +f 1337/1504/1337 1345/1513/1345 1352/1514/1346 1344/1505/1338 +f 1338/1506/1339 1346/1515/1347 1345/1516/1345 1337/1507/1337 +f 1339/1508/1340 1347/1517/1348 1346/1515/1347 1338/1506/1339 +f 1340/1509/1341 1348/1518/1349 1347/1517/1348 1339/1508/1340 +f 1341/1510/1342 1349/1519/1350 1348/1518/1349 1340/1509/1341 +f 1342/1511/1343 1350/1520/1351 1349/1519/1350 1341/1510/1342 +f 1343/1512/1344 1351/1521/1352 1350/1520/1351 1342/1511/1343 +f 1344/1505/1338 1352/1514/1346 1351/1521/1352 1343/1512/1344 +f 1353/1522/1353 1361/1523/1354 1368/1524/1355 1360/1525/1356 +f 1354/1526/1357 1362/1527/1358 1361/1528/1354 1353/1529/1353 +f 1355/1530/1359 1363/1531/1360 1362/1527/1358 1354/1526/1357 +f 1356/1532/1361 1364/1533/1362 1363/1531/1360 1355/1530/1359 +f 1357/1534/1363 1365/1535/1364 1364/1533/1362 1356/1532/1361 +f 1358/1536/1365 1366/1537/1366 1365/1535/1364 1357/1534/1363 +f 1359/1538/1367 1367/1539/1368 1366/1537/1366 1358/1536/1365 +f 1360/1525/1356 1368/1524/1355 1367/1539/1368 1359/1538/1367 +f 1361/1523/1354 1369/1540/1369 1376/1541/1370 1368/1524/1355 +f 1362/1527/1358 1370/1542/1371 1369/1543/1369 1361/1528/1354 +f 1363/1531/1360 1371/1544/1372 1370/1542/1371 1362/1527/1358 +f 1364/1533/1362 1372/1545/1373 1371/1544/1372 1363/1531/1360 +f 1365/1535/1364 1373/1546/1374 1372/1545/1373 1364/1533/1362 +f 1366/1537/1366 1374/1547/1375 1373/1546/1374 1365/1535/1364 +f 1367/1539/1368 1375/1548/1376 1374/1547/1375 1366/1537/1366 +f 1368/1524/1355 1376/1541/1370 1375/1548/1376 1367/1539/1368 +f 1369/1540/1369 1377/1549/1377 1384/1550/1378 1376/1541/1370 +f 1370/1542/1371 1378/1551/1379 1377/1552/1377 1369/1543/1369 +f 1371/1544/1372 1379/1553/1380 1378/1551/1379 1370/1542/1371 +f 1372/1545/1373 1380/1554/1381 1379/1553/1380 1371/1544/1372 +f 1373/1546/1374 1381/1555/1382 1380/1554/1381 1372/1545/1373 +f 1374/1547/1375 1382/1556/1383 1381/1555/1382 1373/1546/1374 +f 1375/1548/1376 1383/1557/1384 1382/1556/1383 1374/1547/1375 +f 1376/1541/1370 1384/1550/1378 1383/1557/1384 1375/1548/1376 +f 1377/1549/1377 1385/1558/1385 1392/1559/1386 1384/1550/1378 +f 1378/1551/1379 1386/1560/1387 1385/1561/1385 1377/1552/1377 +f 1379/1553/1380 1387/1562/1388 1386/1560/1387 1378/1551/1379 +f 1380/1554/1381 1388/1563/1389 1387/1562/1388 1379/1553/1380 +f 1381/1555/1382 1389/1564/1390 1388/1563/1389 1380/1554/1381 +f 1382/1556/1383 1390/1565/1391 1389/1564/1390 1381/1555/1382 +f 1383/1557/1384 1391/1566/1392 1390/1565/1391 1382/1556/1383 +f 1384/1550/1378 1392/1559/1386 1391/1566/1392 1383/1557/1384 +f 1385/1558/1385 1393/1567/1393 1400/1568/1394 1392/1559/1386 +f 1386/1560/1387 1394/1569/1395 1393/1570/1393 1385/1561/1385 +f 1387/1562/1388 1395/1571/1396 1394/1569/1395 1386/1560/1387 +f 1388/1563/1389 1396/1572/1397 1395/1571/1396 1387/1562/1388 +f 1389/1564/1390 1397/1573/1398 1396/1572/1397 1388/1563/1389 +f 1390/1565/1391 1398/1574/1399 1397/1573/1398 1389/1564/1390 +f 1391/1566/1392 1399/1575/1400 1398/1574/1399 1390/1565/1391 +f 1392/1559/1386 1400/1568/1394 1399/1575/1400 1391/1566/1392 +f 1393/1567/1393 1401/1576/1401 1408/1577/1402 1400/1568/1394 +f 1394/1569/1395 1402/1578/1403 1401/1579/1401 1393/1570/1393 +f 1395/1571/1396 1403/1580/1404 1402/1578/1403 1394/1569/1395 +f 1396/1572/1397 1404/1581/1405 1403/1580/1404 1395/1571/1396 +f 1397/1573/1398 1405/1582/1406 1404/1581/1405 1396/1572/1397 +f 1398/1574/1399 1406/1583/1407 1405/1582/1406 1397/1573/1398 +f 1399/1575/1400 1407/1584/1408 1406/1583/1407 1398/1574/1399 +f 1400/1568/1394 1408/1577/1402 1407/1584/1408 1399/1575/1400 +f 1401/1576/1401 1409/1585/1409 1416/1586/1410 1408/1577/1402 +f 1402/1578/1403 1410/1587/1411 1409/1588/1409 1401/1579/1401 +f 1403/1580/1404 1411/1589/1412 1410/1587/1411 1402/1578/1403 +f 1404/1581/1405 1412/1590/1413 1411/1589/1412 1403/1580/1404 +f 1405/1582/1406 1413/1591/1414 1412/1590/1413 1404/1581/1405 +f 1406/1583/1407 1414/1592/1415 1413/1591/1414 1405/1582/1406 +f 1407/1584/1408 1415/1593/1416 1414/1592/1415 1406/1583/1407 +f 1408/1577/1402 1416/1586/1410 1415/1593/1416 1407/1584/1408 +f 1409/1585/1409 1417/1594/1417 1424/1595/1418 1416/1586/1410 +f 1410/1587/1411 1418/1596/1419 1417/1597/1417 1409/1588/1409 +f 1411/1589/1412 1419/1598/1420 1418/1596/1419 1410/1587/1411 +f 1412/1590/1413 1420/1599/1421 1419/1598/1420 1411/1589/1412 +f 1413/1591/1414 1421/1600/1422 1420/1599/1421 1412/1590/1413 +f 1414/1592/1415 1422/1601/1423 1421/1600/1422 1413/1591/1414 +f 1415/1593/1416 1423/1602/1424 1422/1601/1423 1414/1592/1415 +f 1416/1586/1410 1424/1595/1418 1423/1602/1424 1415/1593/1416 +f 1417/1594/1417 1425/1603/1425 1432/1604/1426 1424/1595/1418 +f 1418/1596/1419 1426/1605/1427 1425/1606/1425 1417/1597/1417 +f 1419/1598/1420 1427/1607/1428 1426/1605/1427 1418/1596/1419 +f 1420/1599/1421 1428/1608/1429 1427/1607/1428 1419/1598/1420 +f 1421/1600/1422 1429/1609/1430 1428/1608/1429 1420/1599/1421 +f 1422/1601/1423 1430/1610/1431 1429/1609/1430 1421/1600/1422 +f 1423/1602/1424 1431/1611/1432 1430/1610/1431 1422/1601/1423 +f 1424/1595/1418 1432/1604/1426 1431/1611/1432 1423/1602/1424 +f 1425/1603/1425 1433/1612/1433 1440/1613/1434 1432/1604/1426 +f 1426/1605/1427 1434/1614/1435 1433/1615/1433 1425/1606/1425 +f 1427/1607/1428 1435/1616/1436 1434/1614/1435 1426/1605/1427 +f 1428/1608/1429 1436/1617/1437 1435/1616/1436 1427/1607/1428 +f 1429/1609/1430 1437/1618/1438 1436/1617/1437 1428/1608/1429 +f 1430/1610/1431 1438/1619/1439 1437/1618/1438 1429/1609/1430 +f 1431/1611/1432 1439/1620/1440 1438/1619/1439 1430/1610/1431 +f 1432/1604/1426 1440/1613/1434 1439/1620/1440 1431/1611/1432 +f 1433/1612/1433 1441/1621/1441 1448/1622/1442 1440/1613/1434 +f 1434/1614/1435 1442/1623/1443 1441/1624/1441 1433/1615/1433 +f 1435/1616/1436 1443/1625/1444 1442/1623/1443 1434/1614/1435 +f 1436/1617/1437 1444/1626/1445 1443/1625/1444 1435/1616/1436 +f 1437/1618/1438 1445/1627/1446 1444/1626/1445 1436/1617/1437 +f 1438/1619/1439 1446/1628/1447 1445/1627/1446 1437/1618/1438 +f 1439/1620/1440 1447/1629/1448 1446/1628/1447 1438/1619/1439 +f 1440/1613/1434 1448/1622/1442 1447/1629/1448 1439/1620/1440 +f 1441/1621/1441 1449/1630/1449 1456/1631/1450 1448/1622/1442 +f 1442/1623/1443 1450/1632/1451 1449/1633/1449 1441/1624/1441 +f 1443/1625/1444 1451/1634/1452 1450/1632/1451 1442/1623/1443 +f 1444/1626/1445 1452/1635/1453 1451/1634/1452 1443/1625/1444 +f 1445/1627/1446 1453/1636/1454 1452/1635/1453 1444/1626/1445 +f 1446/1628/1447 1454/1637/1455 1453/1636/1454 1445/1627/1446 +f 1447/1629/1448 1455/1638/1456 1454/1637/1455 1446/1628/1447 +f 1448/1622/1442 1456/1631/1450 1455/1638/1456 1447/1629/1448 +f 1457/1639/1457 1465/1640/1458 1472/1641/1459 1464/1642/1460 +f 1458/1643/1461 1466/1644/1462 1465/1645/1458 1457/1646/1457 +f 1459/1647/1463 1467/1648/1464 1466/1644/1462 1458/1643/1461 +f 1460/1649/1465 1468/1650/1466 1467/1648/1464 1459/1647/1463 +f 1461/1651/1467 1469/1652/1468 1468/1650/1466 1460/1649/1465 +f 1462/1653/1469 1470/1654/1470 1469/1652/1468 1461/1651/1467 +f 1463/1655/1471 1471/1656/1472 1470/1654/1470 1462/1653/1469 +f 1464/1642/1460 1472/1641/1459 1471/1656/1472 1463/1655/1471 +f 1465/1640/1458 1473/1657/1473 1480/1658/1474 1472/1641/1459 +f 1466/1644/1462 1474/1659/1475 1473/1660/1473 1465/1645/1458 +f 1467/1648/1464 1475/1661/1476 1474/1659/1475 1466/1644/1462 +f 1468/1650/1466 1476/1662/1477 1475/1661/1476 1467/1648/1464 +f 1469/1652/1468 1477/1663/1478 1476/1662/1477 1468/1650/1466 +f 1470/1654/1470 1478/1664/1479 1477/1663/1478 1469/1652/1468 +f 1471/1656/1472 1479/1665/1480 1478/1664/1479 1470/1654/1470 +f 1472/1641/1459 1480/1658/1474 1479/1665/1480 1471/1656/1472 +f 1473/1657/1473 1481/1666/1481 1488/1667/1482 1480/1658/1474 +f 1474/1659/1475 1482/1668/1483 1481/1669/1481 1473/1660/1473 +f 1475/1661/1476 1483/1670/1484 1482/1668/1483 1474/1659/1475 +f 1476/1662/1477 1484/1671/1485 1483/1670/1484 1475/1661/1476 +f 1477/1663/1478 1485/1672/1486 1484/1671/1485 1476/1662/1477 +f 1478/1664/1479 1486/1673/1487 1485/1672/1486 1477/1663/1478 +f 1479/1665/1480 1487/1674/1488 1486/1673/1487 1478/1664/1479 +f 1480/1658/1474 1488/1667/1482 1487/1674/1488 1479/1665/1480 +f 1481/1666/1481 1489/1675/1489 1496/1676/1490 1488/1667/1482 +f 1482/1668/1483 1490/1677/1491 1489/1678/1489 1481/1669/1481 +f 1483/1670/1484 1491/1679/1492 1490/1677/1491 1482/1668/1483 +f 1484/1671/1485 1492/1680/1493 1491/1679/1492 1483/1670/1484 +f 1485/1672/1486 1493/1681/1494 1492/1680/1493 1484/1671/1485 +f 1486/1673/1487 1494/1682/1495 1493/1681/1494 1485/1672/1486 +f 1487/1674/1488 1495/1683/1496 1494/1682/1495 1486/1673/1487 +f 1488/1667/1482 1496/1676/1490 1495/1683/1496 1487/1674/1488 +f 1489/1675/1489 1497/1684/1497 1504/1685/1498 1496/1676/1490 +f 1490/1677/1491 1498/1686/1499 1497/1687/1497 1489/1678/1489 +f 1491/1679/1492 1499/1688/1500 1498/1686/1499 1490/1677/1491 +f 1492/1680/1493 1500/1689/1501 1499/1688/1500 1491/1679/1492 +f 1493/1681/1494 1501/1690/1502 1500/1689/1501 1492/1680/1493 +f 1494/1682/1495 1502/1691/1503 1501/1690/1502 1493/1681/1494 +f 1495/1683/1496 1503/1692/1504 1502/1691/1503 1494/1682/1495 +f 1496/1676/1490 1504/1685/1498 1503/1692/1504 1495/1683/1496 +f 1497/1684/1497 1505/1693/1505 1512/1694/1506 1504/1685/1498 +f 1498/1686/1499 1506/1695/1507 1505/1696/1505 1497/1687/1497 +f 1499/1688/1500 1507/1697/1508 1506/1695/1507 1498/1686/1499 +f 1500/1689/1501 1508/1698/1509 1507/1697/1508 1499/1688/1500 +f 1501/1690/1502 1509/1699/1510 1508/1698/1509 1500/1689/1501 +f 1502/1691/1503 1510/1700/1511 1509/1699/1510 1501/1690/1502 +f 1503/1692/1504 1511/1701/1512 1510/1700/1511 1502/1691/1503 +f 1504/1685/1498 1512/1694/1506 1511/1701/1512 1503/1692/1504 +f 1505/1693/1505 1513/1702/1513 1520/1703/1514 1512/1694/1506 +f 1506/1695/1507 1514/1704/1515 1513/1705/1513 1505/1696/1505 +f 1507/1697/1508 1515/1706/1516 1514/1704/1515 1506/1695/1507 +f 1508/1698/1509 1516/1707/1517 1515/1706/1516 1507/1697/1508 +f 1509/1699/1510 1517/1708/1518 1516/1707/1517 1508/1698/1509 +f 1510/1700/1511 1518/1709/1519 1517/1708/1518 1509/1699/1510 +f 1511/1701/1512 1519/1710/1520 1518/1709/1519 1510/1700/1511 +f 1512/1694/1506 1520/1703/1514 1519/1710/1520 1511/1701/1512 +f 1513/1702/1513 1521/1711/1521 1528/1712/1522 1520/1703/1514 +f 1514/1704/1515 1522/1713/1523 1521/1714/1521 1513/1705/1513 +f 1515/1706/1516 1523/1715/1524 1522/1713/1523 1514/1704/1515 +f 1516/1707/1517 1524/1716/1525 1523/1715/1524 1515/1706/1516 +f 1517/1708/1518 1525/1717/1526 1524/1716/1525 1516/1707/1517 +f 1518/1709/1519 1526/1718/1527 1525/1717/1526 1517/1708/1518 +f 1519/1710/1520 1527/1719/1528 1526/1718/1527 1518/1709/1519 +f 1520/1703/1514 1528/1712/1522 1527/1719/1528 1519/1710/1520 +f 1521/1711/1521 1529/1720/1529 1536/1721/1530 1528/1712/1522 +f 1522/1713/1523 1530/1722/1531 1529/1723/1529 1521/1714/1521 +f 1523/1715/1524 1531/1724/1532 1530/1722/1531 1522/1713/1523 +f 1524/1716/1525 1532/1725/1533 1531/1724/1532 1523/1715/1524 +f 1525/1717/1526 1533/1726/1534 1532/1725/1533 1524/1716/1525 +f 1526/1718/1527 1534/1727/1535 1533/1726/1534 1525/1717/1526 +f 1527/1719/1528 1535/1728/1536 1534/1727/1535 1526/1718/1527 +f 1528/1712/1522 1536/1721/1530 1535/1728/1536 1527/1719/1528 +f 1529/1720/1529 1537/1729/1537 1544/1730/1538 1536/1721/1530 +f 1530/1722/1531 1538/1731/1539 1537/1732/1537 1529/1723/1529 +f 1531/1724/1532 1539/1733/1540 1538/1731/1539 1530/1722/1531 +f 1532/1725/1533 1540/1734/1541 1539/1733/1540 1531/1724/1532 +f 1533/1726/1534 1541/1735/1542 1540/1734/1541 1532/1725/1533 +f 1534/1727/1535 1542/1736/1543 1541/1735/1542 1533/1726/1534 +f 1535/1728/1536 1543/1737/1544 1542/1736/1543 1534/1727/1535 +f 1536/1721/1530 1544/1730/1538 1543/1737/1544 1535/1728/1536 +f 1537/1729/1537 1545/1738/1545 1552/1739/1546 1544/1730/1538 +f 1538/1731/1539 1546/1740/1547 1545/1741/1545 1537/1732/1537 +f 1539/1733/1540 1547/1742/1548 1546/1740/1547 1538/1731/1539 +f 1540/1734/1541 1548/1743/1549 1547/1742/1548 1539/1733/1540 +f 1541/1735/1542 1549/1744/1550 1548/1743/1549 1540/1734/1541 +f 1542/1736/1543 1550/1745/1551 1549/1744/1550 1541/1735/1542 +f 1543/1737/1544 1551/1746/1552 1550/1745/1551 1542/1736/1543 +f 1544/1730/1538 1552/1739/1546 1551/1746/1552 1543/1737/1544 +f 1545/1738/1545 1553/1747/1553 1560/1748/1554 1552/1739/1546 +f 1546/1740/1547 1554/1749/1555 1553/1750/1553 1545/1741/1545 +f 1547/1742/1548 1555/1751/1556 1554/1749/1555 1546/1740/1547 +f 1548/1743/1549 1556/1752/1557 1555/1751/1556 1547/1742/1548 +f 1549/1744/1550 1557/1753/1558 1556/1752/1557 1548/1743/1549 +f 1550/1745/1551 1558/1754/1559 1557/1753/1558 1549/1744/1550 +f 1551/1746/1552 1559/1755/1560 1558/1754/1559 1550/1745/1551 +f 1552/1739/1546 1560/1748/1554 1559/1755/1560 1551/1746/1552 +f 1561/1756/1561 1569/1757/1562 1576/1758/1563 1568/1759/1564 +f 1562/1760/1565 1570/1761/1566 1569/1762/1562 1561/1763/1561 +f 1563/1764/1567 1571/1765/1568 1570/1761/1566 1562/1760/1565 +f 1564/1766/1569 1572/1767/1570 1571/1765/1568 1563/1764/1567 +f 1565/1768/1571 1573/1769/1572 1572/1767/1570 1564/1766/1569 +f 1566/1770/1573 1574/1771/1574 1573/1769/1572 1565/1768/1571 +f 1567/1772/1575 1575/1773/1576 1574/1771/1574 1566/1770/1573 +f 1568/1759/1564 1576/1758/1563 1575/1773/1576 1567/1772/1575 +f 1569/1757/1562 1577/1774/1577 1584/1775/1578 1576/1758/1563 +f 1570/1761/1566 1578/1776/1579 1577/1777/1577 1569/1762/1562 +f 1571/1765/1568 1579/1778/1580 1578/1776/1579 1570/1761/1566 +f 1572/1767/1570 1580/1779/1581 1579/1778/1580 1571/1765/1568 +f 1573/1769/1572 1581/1780/1582 1580/1779/1581 1572/1767/1570 +f 1574/1771/1574 1582/1781/1583 1581/1780/1582 1573/1769/1572 +f 1575/1773/1576 1583/1782/1584 1582/1781/1583 1574/1771/1574 +f 1576/1758/1563 1584/1775/1578 1583/1782/1584 1575/1773/1576 +f 1577/1774/1577 1585/1783/1585 1592/1784/1586 1584/1775/1578 +f 1578/1776/1579 1586/1785/1587 1585/1786/1585 1577/1777/1577 +f 1579/1778/1580 1587/1787/1588 1586/1785/1587 1578/1776/1579 +f 1580/1779/1581 1588/1788/1589 1587/1787/1588 1579/1778/1580 +f 1581/1780/1582 1589/1789/1590 1588/1788/1589 1580/1779/1581 +f 1582/1781/1583 1590/1790/1591 1589/1789/1590 1581/1780/1582 +f 1583/1782/1584 1591/1791/1592 1590/1790/1591 1582/1781/1583 +f 1584/1775/1578 1592/1784/1586 1591/1791/1592 1583/1782/1584 +f 1585/1783/1585 1593/1792/1593 1600/1793/1594 1592/1784/1586 +f 1586/1785/1587 1594/1794/1595 1593/1795/1593 1585/1786/1585 +f 1587/1787/1588 1595/1796/1596 1594/1794/1595 1586/1785/1587 +f 1588/1788/1589 1596/1797/1597 1595/1796/1596 1587/1787/1588 +f 1589/1789/1590 1597/1798/1598 1596/1797/1597 1588/1788/1589 +f 1590/1790/1591 1598/1799/1599 1597/1798/1598 1589/1789/1590 +f 1591/1791/1592 1599/1800/1600 1598/1799/1599 1590/1790/1591 +f 1592/1784/1586 1600/1793/1594 1599/1800/1600 1591/1791/1592 +f 1593/1792/1593 1601/1801/1601 1608/1802/1602 1600/1793/1594 +f 1594/1794/1595 1602/1803/1603 1601/1804/1601 1593/1795/1593 +f 1595/1796/1596 1603/1805/1604 1602/1803/1603 1594/1794/1595 +f 1596/1797/1597 1604/1806/1605 1603/1805/1604 1595/1796/1596 +f 1597/1798/1598 1605/1807/1606 1604/1806/1605 1596/1797/1597 +f 1598/1799/1599 1606/1808/1607 1605/1807/1606 1597/1798/1598 +f 1599/1800/1600 1607/1809/1608 1606/1808/1607 1598/1799/1599 +f 1600/1793/1594 1608/1802/1602 1607/1809/1608 1599/1800/1600 +f 1601/1801/1601 1609/1810/1609 1616/1811/1610 1608/1802/1602 +f 1602/1803/1603 1610/1812/1611 1609/1813/1609 1601/1804/1601 +f 1603/1805/1604 1611/1814/1612 1610/1812/1611 1602/1803/1603 +f 1604/1806/1605 1612/1815/1613 1611/1814/1612 1603/1805/1604 +f 1605/1807/1606 1613/1816/1614 1612/1815/1613 1604/1806/1605 +f 1606/1808/1607 1614/1817/1615 1613/1816/1614 1605/1807/1606 +f 1607/1809/1608 1615/1818/1616 1614/1817/1615 1606/1808/1607 +f 1608/1802/1602 1616/1811/1610 1615/1818/1616 1607/1809/1608 +f 1609/1810/1609 1617/1819/1617 1624/1820/1618 1616/1811/1610 +f 1610/1812/1611 1618/1821/1619 1617/1822/1617 1609/1813/1609 +f 1611/1814/1612 1619/1823/1620 1618/1821/1619 1610/1812/1611 +f 1612/1815/1613 1620/1824/1621 1619/1823/1620 1611/1814/1612 +f 1613/1816/1614 1621/1825/1622 1620/1824/1621 1612/1815/1613 +f 1614/1817/1615 1622/1826/1623 1621/1825/1622 1613/1816/1614 +f 1615/1818/1616 1623/1827/1624 1622/1826/1623 1614/1817/1615 +f 1616/1811/1610 1624/1820/1618 1623/1827/1624 1615/1818/1616 +f 1617/1819/1617 1625/1828/1625 1632/1829/1626 1624/1820/1618 +f 1618/1821/1619 1626/1830/1627 1625/1831/1625 1617/1822/1617 +f 1619/1823/1620 1627/1832/1628 1626/1830/1627 1618/1821/1619 +f 1620/1824/1621 1628/1833/1629 1627/1832/1628 1619/1823/1620 +f 1621/1825/1622 1629/1834/1630 1628/1833/1629 1620/1824/1621 +f 1622/1826/1623 1630/1835/1631 1629/1834/1630 1621/1825/1622 +f 1623/1827/1624 1631/1836/1632 1630/1835/1631 1622/1826/1623 +f 1624/1820/1618 1632/1829/1626 1631/1836/1632 1623/1827/1624 +f 1625/1828/1625 1633/1837/1633 1640/1838/1634 1632/1829/1626 +f 1626/1830/1627 1634/1839/1635 1633/1840/1633 1625/1831/1625 +f 1627/1832/1628 1635/1841/1636 1634/1839/1635 1626/1830/1627 +f 1628/1833/1629 1636/1842/1637 1635/1841/1636 1627/1832/1628 +f 1629/1834/1630 1637/1843/1638 1636/1842/1637 1628/1833/1629 +f 1630/1835/1631 1638/1844/1639 1637/1843/1638 1629/1834/1630 +f 1631/1836/1632 1639/1845/1640 1638/1844/1639 1630/1835/1631 +f 1632/1829/1626 1640/1838/1634 1639/1845/1640 1631/1836/1632 +f 1633/1837/1633 1641/1846/1641 1648/1847/1642 1640/1838/1634 +f 1634/1839/1635 1642/1848/1643 1641/1849/1641 1633/1840/1633 +f 1635/1841/1636 1643/1850/1644 1642/1848/1643 1634/1839/1635 +f 1636/1842/1637 1644/1851/1645 1643/1850/1644 1635/1841/1636 +f 1637/1843/1638 1645/1852/1646 1644/1851/1645 1636/1842/1637 +f 1638/1844/1639 1646/1853/1647 1645/1852/1646 1637/1843/1638 +f 1639/1845/1640 1647/1854/1648 1646/1853/1647 1638/1844/1639 +f 1640/1838/1634 1648/1847/1642 1647/1854/1648 1639/1845/1640 +f 1641/1846/1641 1649/1855/1649 1656/1856/1650 1648/1847/1642 +f 1642/1848/1643 1650/1857/1651 1649/1858/1649 1641/1849/1641 +f 1643/1850/1644 1651/1859/1652 1650/1857/1651 1642/1848/1643 +f 1644/1851/1645 1652/1860/1653 1651/1859/1652 1643/1850/1644 +f 1645/1852/1646 1653/1861/1654 1652/1860/1653 1644/1851/1645 +f 1646/1853/1647 1654/1862/1655 1653/1861/1654 1645/1852/1646 +f 1647/1854/1648 1655/1863/1656 1654/1862/1655 1646/1853/1647 +f 1648/1847/1642 1656/1856/1650 1655/1863/1656 1647/1854/1648 +f 1649/1855/1649 1657/1864/1657 1664/1865/1658 1656/1856/1650 +f 1650/1857/1651 1658/1866/1659 1657/1867/1657 1649/1858/1649 +f 1651/1859/1652 1659/1868/1660 1658/1866/1659 1650/1857/1651 +f 1652/1860/1653 1660/1869/1661 1659/1868/1660 1651/1859/1652 +f 1653/1861/1654 1661/1870/1662 1660/1869/1661 1652/1860/1653 +f 1654/1862/1655 1662/1871/1663 1661/1870/1662 1653/1861/1654 +f 1655/1863/1656 1663/1872/1664 1662/1871/1663 1654/1862/1655 +f 1656/1856/1650 1664/1865/1658 1663/1872/1664 1655/1863/1656 +f 1665/1873/1665 1673/1874/1666 1680/1875/1667 1672/1876/1668 +f 1666/1877/1669 1674/1878/1670 1673/1879/1666 1665/1880/1665 +f 1667/1881/1671 1675/1882/1672 1674/1878/1670 1666/1877/1669 +f 1668/1883/1673 1676/1884/1674 1675/1882/1672 1667/1881/1671 +f 1669/1885/1675 1677/1886/1676 1676/1884/1674 1668/1883/1673 +f 1670/1887/1677 1678/1888/1678 1677/1886/1676 1669/1885/1675 +f 1671/1889/1679 1679/1890/1680 1678/1888/1678 1670/1887/1677 +f 1672/1876/1668 1680/1875/1667 1679/1890/1680 1671/1889/1679 +f 1673/1874/1666 1681/1891/1681 1688/1892/1682 1680/1875/1667 +f 1674/1878/1670 1682/1893/1683 1681/1894/1681 1673/1879/1666 +f 1675/1882/1672 1683/1895/1684 1682/1893/1683 1674/1878/1670 +f 1676/1884/1674 1684/1896/1685 1683/1895/1684 1675/1882/1672 +f 1677/1886/1676 1685/1897/1686 1684/1896/1685 1676/1884/1674 +f 1678/1888/1678 1686/1898/1687 1685/1897/1686 1677/1886/1676 +f 1679/1890/1680 1687/1899/1688 1686/1898/1687 1678/1888/1678 +f 1680/1875/1667 1688/1892/1682 1687/1899/1688 1679/1890/1680 +f 1681/1891/1681 1689/1900/1689 1696/1901/1690 1688/1892/1682 +f 1682/1893/1683 1690/1902/1691 1689/1903/1689 1681/1894/1681 +f 1683/1895/1684 1691/1904/1692 1690/1902/1691 1682/1893/1683 +f 1684/1896/1685 1692/1905/1693 1691/1904/1692 1683/1895/1684 +f 1685/1897/1686 1693/1906/1694 1692/1905/1693 1684/1896/1685 +f 1686/1898/1687 1694/1907/1695 1693/1906/1694 1685/1897/1686 +f 1687/1899/1688 1695/1908/1696 1694/1907/1695 1686/1898/1687 +f 1688/1892/1682 1696/1901/1690 1695/1908/1696 1687/1899/1688 +f 1689/1900/1689 1697/1909/1697 1704/1910/1698 1696/1901/1690 +f 1690/1902/1691 1698/1911/1699 1697/1912/1697 1689/1903/1689 +f 1691/1904/1692 1699/1913/1700 1698/1911/1699 1690/1902/1691 +f 1692/1905/1693 1700/1914/1701 1699/1913/1700 1691/1904/1692 +f 1693/1906/1694 1701/1915/1702 1700/1914/1701 1692/1905/1693 +f 1694/1907/1695 1702/1916/1703 1701/1915/1702 1693/1906/1694 +f 1695/1908/1696 1703/1917/1704 1702/1916/1703 1694/1907/1695 +f 1696/1901/1690 1704/1910/1698 1703/1917/1704 1695/1908/1696 +f 1697/1909/1697 1705/1918/1705 1712/1919/1706 1704/1910/1698 +f 1698/1911/1699 1706/1920/1707 1705/1921/1705 1697/1912/1697 +f 1699/1913/1700 1707/1922/1708 1706/1920/1707 1698/1911/1699 +f 1700/1914/1701 1708/1923/1709 1707/1922/1708 1699/1913/1700 +f 1701/1915/1702 1709/1924/1710 1708/1923/1709 1700/1914/1701 +f 1702/1916/1703 1710/1925/1711 1709/1924/1710 1701/1915/1702 +f 1703/1917/1704 1711/1926/1712 1710/1925/1711 1702/1916/1703 +f 1704/1910/1698 1712/1919/1706 1711/1926/1712 1703/1917/1704 +f 1705/1918/1705 1713/1927/1713 1720/1928/1714 1712/1919/1706 +f 1706/1920/1707 1714/1929/1715 1713/1930/1713 1705/1921/1705 +f 1707/1922/1708 1715/1931/1716 1714/1929/1715 1706/1920/1707 +f 1708/1923/1709 1716/1932/1717 1715/1931/1716 1707/1922/1708 +f 1709/1924/1710 1717/1933/1718 1716/1932/1717 1708/1923/1709 +f 1710/1925/1711 1718/1934/1719 1717/1933/1718 1709/1924/1710 +f 1711/1926/1712 1719/1935/1720 1718/1934/1719 1710/1925/1711 +f 1712/1919/1706 1720/1928/1714 1719/1935/1720 1711/1926/1712 +f 1713/1927/1713 1721/1936/1721 1728/1937/1722 1720/1928/1714 +f 1714/1929/1715 1722/1938/1723 1721/1939/1721 1713/1930/1713 +f 1715/1931/1716 1723/1940/1724 1722/1938/1723 1714/1929/1715 +f 1716/1932/1717 1724/1941/1725 1723/1940/1724 1715/1931/1716 +f 1717/1933/1718 1725/1942/1726 1724/1941/1725 1716/1932/1717 +f 1718/1934/1719 1726/1943/1727 1725/1942/1726 1717/1933/1718 +f 1719/1935/1720 1727/1944/1728 1726/1943/1727 1718/1934/1719 +f 1720/1928/1714 1728/1937/1722 1727/1944/1728 1719/1935/1720 +f 1721/1936/1721 1729/1945/1729 1736/1946/1730 1728/1937/1722 +f 1722/1938/1723 1730/1947/1731 1729/1948/1729 1721/1939/1721 +f 1723/1940/1724 1731/1949/1732 1730/1947/1731 1722/1938/1723 +f 1724/1941/1725 1732/1950/1733 1731/1949/1732 1723/1940/1724 +f 1725/1942/1726 1733/1951/1734 1732/1950/1733 1724/1941/1725 +f 1726/1943/1727 1734/1952/1735 1733/1951/1734 1725/1942/1726 +f 1727/1944/1728 1735/1953/1736 1734/1952/1735 1726/1943/1727 +f 1728/1937/1722 1736/1946/1730 1735/1953/1736 1727/1944/1728 +f 1729/1945/1729 1737/1954/1737 1744/1955/1738 1736/1946/1730 +f 1730/1947/1731 1738/1956/1739 1737/1957/1737 1729/1948/1729 +f 1731/1949/1732 1739/1958/1740 1738/1956/1739 1730/1947/1731 +f 1732/1950/1733 1740/1959/1741 1739/1958/1740 1731/1949/1732 +f 1733/1951/1734 1741/1960/1742 1740/1959/1741 1732/1950/1733 +f 1734/1952/1735 1742/1961/1743 1741/1960/1742 1733/1951/1734 +f 1735/1953/1736 1743/1962/1744 1742/1961/1743 1734/1952/1735 +f 1736/1946/1730 1744/1955/1738 1743/1962/1744 1735/1953/1736 +f 1737/1954/1737 1745/1963/1745 1752/1964/1746 1744/1955/1738 +f 1738/1956/1739 1746/1965/1747 1745/1966/1745 1737/1957/1737 +f 1739/1958/1740 1747/1967/1748 1746/1965/1747 1738/1956/1739 +f 1740/1959/1741 1748/1968/1749 1747/1967/1748 1739/1958/1740 +f 1741/1960/1742 1749/1969/1750 1748/1968/1749 1740/1959/1741 +f 1742/1961/1743 1750/1970/1751 1749/1969/1750 1741/1960/1742 +f 1743/1962/1744 1751/1971/1752 1750/1970/1751 1742/1961/1743 +f 1744/1955/1738 1752/1964/1746 1751/1971/1752 1743/1962/1744 +f 1745/1963/1745 1753/1972/1753 1760/1973/1754 1752/1964/1746 +f 1746/1965/1747 1754/1974/1755 1753/1975/1753 1745/1966/1745 +f 1747/1967/1748 1755/1976/1756 1754/1974/1755 1746/1965/1747 +f 1748/1968/1749 1756/1977/1757 1755/1976/1756 1747/1967/1748 +f 1749/1969/1750 1757/1978/1758 1756/1977/1757 1748/1968/1749 +f 1750/1970/1751 1758/1979/1759 1757/1978/1758 1749/1969/1750 +f 1751/1971/1752 1759/1980/1760 1758/1979/1759 1750/1970/1751 +f 1752/1964/1746 1760/1973/1754 1759/1980/1760 1751/1971/1752 +f 1753/1972/1753 1761/1981/1761 1768/1982/1762 1760/1973/1754 +f 1754/1974/1755 1762/1983/1763 1761/1984/1761 1753/1975/1753 +f 1755/1976/1756 1763/1985/1764 1762/1983/1763 1754/1974/1755 +f 1756/1977/1757 1764/1986/1765 1763/1985/1764 1755/1976/1756 +f 1757/1978/1758 1765/1987/1766 1764/1986/1765 1756/1977/1757 +f 1758/1979/1759 1766/1988/1767 1765/1987/1766 1757/1978/1758 +f 1759/1980/1760 1767/1989/1768 1766/1988/1767 1758/1979/1759 +f 1760/1973/1754 1768/1982/1762 1767/1989/1768 1759/1980/1760 +f 1769/1990/1769 1777/1991/1770 1784/1992/1771 1776/1993/1772 +f 1770/1994/1773 1778/1995/1774 1777/1996/1770 1769/1997/1769 +f 1771/1998/1775 1779/1999/1776 1778/1995/1774 1770/1994/1773 +f 1772/2000/1777 1780/2001/1778 1779/1999/1776 1771/1998/1775 +f 1773/2002/1779 1781/2003/1780 1780/2001/1778 1772/2000/1777 +f 1774/2004/1781 1782/2005/1782 1781/2003/1780 1773/2002/1779 +f 1775/2006/1783 1783/2007/1784 1782/2005/1782 1774/2004/1781 +f 1776/1993/1772 1784/1992/1771 1783/2007/1784 1775/2006/1783 +f 1777/1991/1770 1785/2008/1785 1792/2009/1786 1784/1992/1771 +f 1778/1995/1774 1786/2010/1787 1785/2011/1785 1777/1996/1770 +f 1779/1999/1776 1787/2012/1788 1786/2010/1787 1778/1995/1774 +f 1780/2001/1778 1788/2013/1789 1787/2012/1788 1779/1999/1776 +f 1781/2003/1780 1789/2014/1790 1788/2013/1789 1780/2001/1778 +f 1782/2005/1782 1790/2015/1791 1789/2014/1790 1781/2003/1780 +f 1783/2007/1784 1791/2016/1792 1790/2015/1791 1782/2005/1782 +f 1784/1992/1771 1792/2009/1786 1791/2016/1792 1783/2007/1784 +f 1785/2008/1785 1793/2017/1793 1800/2018/1794 1792/2009/1786 +f 1786/2010/1787 1794/2019/1795 1793/2020/1793 1785/2011/1785 +f 1787/2012/1788 1795/2021/1796 1794/2019/1795 1786/2010/1787 +f 1788/2013/1789 1796/2022/1797 1795/2021/1796 1787/2012/1788 +f 1789/2014/1790 1797/2023/1798 1796/2022/1797 1788/2013/1789 +f 1790/2015/1791 1798/2024/1799 1797/2023/1798 1789/2014/1790 +f 1791/2016/1792 1799/2025/1800 1798/2024/1799 1790/2015/1791 +f 1792/2009/1786 1800/2018/1794 1799/2025/1800 1791/2016/1792 +f 1793/2017/1793 1801/2026/1801 1808/2027/1802 1800/2018/1794 +f 1794/2019/1795 1802/2028/1803 1801/2029/1801 1793/2020/1793 +f 1795/2021/1796 1803/2030/1804 1802/2028/1803 1794/2019/1795 +f 1796/2022/1797 1804/2031/1805 1803/2030/1804 1795/2021/1796 +f 1797/2023/1798 1805/2032/1806 1804/2031/1805 1796/2022/1797 +f 1798/2024/1799 1806/2033/1807 1805/2032/1806 1797/2023/1798 +f 1799/2025/1800 1807/2034/1808 1806/2033/1807 1798/2024/1799 +f 1800/2018/1794 1808/2027/1802 1807/2034/1808 1799/2025/1800 +f 1801/2026/1801 1809/2035/1809 1816/2036/1810 1808/2027/1802 +f 1802/2028/1803 1810/2037/1811 1809/2038/1809 1801/2029/1801 +f 1803/2030/1804 1811/2039/1812 1810/2037/1811 1802/2028/1803 +f 1804/2031/1805 1812/2040/1813 1811/2039/1812 1803/2030/1804 +f 1805/2032/1806 1813/2041/1814 1812/2040/1813 1804/2031/1805 +f 1806/2033/1807 1814/2042/1815 1813/2041/1814 1805/2032/1806 +f 1807/2034/1808 1815/2043/1816 1814/2042/1815 1806/2033/1807 +f 1808/2027/1802 1816/2036/1810 1815/2043/1816 1807/2034/1808 +f 1809/2035/1809 1817/2044/1817 1824/2045/1818 1816/2036/1810 +f 1810/2037/1811 1818/2046/1819 1817/2047/1817 1809/2038/1809 +f 1811/2039/1812 1819/2048/1820 1818/2046/1819 1810/2037/1811 +f 1812/2040/1813 1820/2049/1821 1819/2048/1820 1811/2039/1812 +f 1813/2041/1814 1821/2050/1822 1820/2049/1821 1812/2040/1813 +f 1814/2042/1815 1822/2051/1823 1821/2050/1822 1813/2041/1814 +f 1815/2043/1816 1823/2052/1824 1822/2051/1823 1814/2042/1815 +f 1816/2036/1810 1824/2045/1818 1823/2052/1824 1815/2043/1816 +f 1817/2044/1817 1825/2053/1825 1832/2054/1826 1824/2045/1818 +f 1818/2046/1819 1826/2055/1827 1825/2056/1825 1817/2047/1817 +f 1819/2048/1820 1827/2057/1828 1826/2055/1827 1818/2046/1819 +f 1820/2049/1821 1828/2058/1829 1827/2057/1828 1819/2048/1820 +f 1821/2050/1822 1829/2059/1830 1828/2058/1829 1820/2049/1821 +f 1822/2051/1823 1830/2060/1831 1829/2059/1830 1821/2050/1822 +f 1823/2052/1824 1831/2061/1832 1830/2060/1831 1822/2051/1823 +f 1824/2045/1818 1832/2054/1826 1831/2061/1832 1823/2052/1824 +f 1825/2053/1825 1833/2062/1833 1840/2063/1834 1832/2054/1826 +f 1826/2055/1827 1834/2064/1835 1833/2065/1833 1825/2056/1825 +f 1827/2057/1828 1835/2066/1836 1834/2064/1835 1826/2055/1827 +f 1828/2058/1829 1836/2067/1837 1835/2066/1836 1827/2057/1828 +f 1829/2059/1830 1837/2068/1838 1836/2067/1837 1828/2058/1829 +f 1830/2060/1831 1838/2069/1839 1837/2068/1838 1829/2059/1830 +f 1831/2061/1832 1839/2070/1840 1838/2069/1839 1830/2060/1831 +f 1832/2054/1826 1840/2063/1834 1839/2070/1840 1831/2061/1832 +f 1833/2062/1833 1841/2071/1841 1848/2072/1842 1840/2063/1834 +f 1834/2064/1835 1842/2073/1843 1841/2074/1841 1833/2065/1833 +f 1835/2066/1836 1843/2075/1844 1842/2073/1843 1834/2064/1835 +f 1836/2067/1837 1844/2076/1845 1843/2075/1844 1835/2066/1836 +f 1837/2068/1838 1845/2077/1846 1844/2076/1845 1836/2067/1837 +f 1838/2069/1839 1846/2078/1847 1845/2077/1846 1837/2068/1838 +f 1839/2070/1840 1847/2079/1848 1846/2078/1847 1838/2069/1839 +f 1840/2063/1834 1848/2072/1842 1847/2079/1848 1839/2070/1840 +f 1841/2071/1841 1849/2080/1849 1856/2081/1850 1848/2072/1842 +f 1842/2073/1843 1850/2082/1851 1849/2083/1849 1841/2074/1841 +f 1843/2075/1844 1851/2084/1852 1850/2082/1851 1842/2073/1843 +f 1844/2076/1845 1852/2085/1853 1851/2084/1852 1843/2075/1844 +f 1845/2077/1846 1853/2086/1854 1852/2085/1853 1844/2076/1845 +f 1846/2078/1847 1854/2087/1855 1853/2086/1854 1845/2077/1846 +f 1847/2079/1848 1855/2088/1856 1854/2087/1855 1846/2078/1847 +f 1848/2072/1842 1856/2081/1850 1855/2088/1856 1847/2079/1848 +f 1849/2080/1849 1857/2089/1857 1864/2090/1858 1856/2081/1850 +f 1850/2082/1851 1858/2091/1859 1857/2092/1857 1849/2083/1849 +f 1851/2084/1852 1859/2093/1860 1858/2091/1859 1850/2082/1851 +f 1852/2085/1853 1860/2094/1861 1859/2093/1860 1851/2084/1852 +f 1853/2086/1854 1861/2095/1862 1860/2094/1861 1852/2085/1853 +f 1854/2087/1855 1862/2096/1863 1861/2095/1862 1853/2086/1854 +f 1855/2088/1856 1863/2097/1864 1862/2096/1863 1854/2087/1855 +f 1856/2081/1850 1864/2090/1858 1863/2097/1864 1855/2088/1856 +f 1857/2089/1857 1865/2098/1865 1872/2099/1866 1864/2090/1858 +f 1858/2091/1859 1866/2100/1867 1865/2101/1865 1857/2092/1857 +f 1859/2093/1860 1867/2102/1868 1866/2100/1867 1858/2091/1859 +f 1860/2094/1861 1868/2103/1869 1867/2102/1868 1859/2093/1860 +f 1861/2095/1862 1869/2104/1870 1868/2103/1869 1860/2094/1861 +f 1862/2096/1863 1870/2105/1871 1869/2104/1870 1861/2095/1862 +f 1863/2097/1864 1871/2106/1872 1870/2105/1871 1862/2096/1863 +f 1864/2090/1858 1872/2099/1866 1871/2106/1872 1863/2097/1864 +f 1873/2107/1873 1881/2108/1874 1888/2109/1875 1880/2110/1876 +f 1874/2111/1877 1882/2112/1878 1881/2113/1874 1873/2114/1873 +f 1875/2115/1879 1883/2116/1880 1882/2112/1878 1874/2111/1877 +f 1876/2117/1881 1884/2118/1882 1883/2116/1880 1875/2115/1879 +f 1877/2119/1883 1885/2120/1884 1884/2118/1882 1876/2117/1881 +f 1878/2121/1885 1886/2122/1886 1885/2120/1884 1877/2119/1883 +f 1879/2123/1887 1887/2124/1888 1886/2122/1886 1878/2121/1885 +f 1880/2110/1876 1888/2109/1875 1887/2124/1888 1879/2123/1887 +f 1881/2108/1874 1889/2125/1889 1896/2126/1890 1888/2109/1875 +f 1882/2112/1878 1890/2127/1891 1889/2128/1889 1881/2113/1874 +f 1883/2116/1880 1891/2129/1892 1890/2127/1891 1882/2112/1878 +f 1884/2118/1882 1892/2130/1893 1891/2129/1892 1883/2116/1880 +f 1885/2120/1884 1893/2131/1894 1892/2130/1893 1884/2118/1882 +f 1886/2122/1886 1894/2132/1895 1893/2131/1894 1885/2120/1884 +f 1887/2124/1888 1895/2133/1896 1894/2132/1895 1886/2122/1886 +f 1888/2109/1875 1896/2126/1890 1895/2133/1896 1887/2124/1888 +f 1889/2125/1889 1897/2134/1897 1904/2135/1898 1896/2126/1890 +f 1890/2127/1891 1898/2136/1899 1897/2137/1897 1889/2128/1889 +f 1891/2129/1892 1899/2138/1900 1898/2136/1899 1890/2127/1891 +f 1892/2130/1893 1900/2139/1901 1899/2138/1900 1891/2129/1892 +f 1893/2131/1894 1901/2140/1902 1900/2139/1901 1892/2130/1893 +f 1894/2132/1895 1902/2141/1903 1901/2140/1902 1893/2131/1894 +f 1895/2133/1896 1903/2142/1904 1902/2141/1903 1894/2132/1895 +f 1896/2126/1890 1904/2135/1898 1903/2142/1904 1895/2133/1896 +f 1897/2134/1897 1905/2143/1905 1912/2144/1906 1904/2135/1898 +f 1898/2136/1899 1906/2145/1907 1905/2146/1905 1897/2137/1897 +f 1899/2138/1900 1907/2147/1908 1906/2145/1907 1898/2136/1899 +f 1900/2139/1901 1908/2148/1909 1907/2147/1908 1899/2138/1900 +f 1901/2140/1902 1909/2149/1910 1908/2148/1909 1900/2139/1901 +f 1902/2141/1903 1910/2150/1911 1909/2149/1910 1901/2140/1902 +f 1903/2142/1904 1911/2151/1912 1910/2150/1911 1902/2141/1903 +f 1904/2135/1898 1912/2144/1906 1911/2151/1912 1903/2142/1904 +f 1905/2143/1905 1913/2152/1913 1920/2153/1914 1912/2144/1906 +f 1906/2145/1907 1914/2154/1915 1913/2155/1913 1905/2146/1905 +f 1907/2147/1908 1915/2156/1916 1914/2154/1915 1906/2145/1907 +f 1908/2148/1909 1916/2157/1917 1915/2156/1916 1907/2147/1908 +f 1909/2149/1910 1917/2158/1918 1916/2157/1917 1908/2148/1909 +f 1910/2150/1911 1918/2159/1919 1917/2158/1918 1909/2149/1910 +f 1911/2151/1912 1919/2160/1920 1918/2159/1919 1910/2150/1911 +f 1912/2144/1906 1920/2153/1914 1919/2160/1920 1911/2151/1912 +f 1913/2152/1913 1921/2161/1921 1928/2162/1922 1920/2153/1914 +f 1914/2154/1915 1922/2163/1923 1921/2164/1921 1913/2155/1913 +f 1915/2156/1916 1923/2165/1924 1922/2163/1923 1914/2154/1915 +f 1916/2157/1917 1924/2166/1925 1923/2165/1924 1915/2156/1916 +f 1917/2158/1918 1925/2167/1926 1924/2166/1925 1916/2157/1917 +f 1918/2159/1919 1926/2168/1927 1925/2167/1926 1917/2158/1918 +f 1919/2160/1920 1927/2169/1928 1926/2168/1927 1918/2159/1919 +f 1920/2153/1914 1928/2162/1922 1927/2169/1928 1919/2160/1920 +f 1921/2161/1921 1929/2170/1929 1936/2171/1930 1928/2162/1922 +f 1922/2163/1923 1930/2172/1931 1929/2173/1929 1921/2164/1921 +f 1923/2165/1924 1931/2174/1932 1930/2172/1931 1922/2163/1923 +f 1924/2166/1925 1932/2175/1933 1931/2174/1932 1923/2165/1924 +f 1925/2167/1926 1933/2176/1934 1932/2175/1933 1924/2166/1925 +f 1926/2168/1927 1934/2177/1935 1933/2176/1934 1925/2167/1926 +f 1927/2169/1928 1935/2178/1936 1934/2177/1935 1926/2168/1927 +f 1928/2162/1922 1936/2171/1930 1935/2178/1936 1927/2169/1928 +f 1929/2170/1929 1937/2179/1937 1944/2180/1938 1936/2171/1930 +f 1930/2172/1931 1938/2181/1939 1937/2182/1937 1929/2173/1929 +f 1931/2174/1932 1939/2183/1940 1938/2181/1939 1930/2172/1931 +f 1932/2175/1933 1940/2184/1941 1939/2183/1940 1931/2174/1932 +f 1933/2176/1934 1941/2185/1942 1940/2184/1941 1932/2175/1933 +f 1934/2177/1935 1942/2186/1943 1941/2185/1942 1933/2176/1934 +f 1935/2178/1936 1943/2187/1944 1942/2186/1943 1934/2177/1935 +f 1936/2171/1930 1944/2180/1938 1943/2187/1944 1935/2178/1936 +f 1937/2179/1937 1945/2188/1945 1952/2189/1946 1944/2180/1938 +f 1938/2181/1939 1946/2190/1947 1945/2191/1945 1937/2182/1937 +f 1939/2183/1940 1947/2192/1948 1946/2190/1947 1938/2181/1939 +f 1940/2184/1941 1948/2193/1949 1947/2192/1948 1939/2183/1940 +f 1941/2185/1942 1949/2194/1950 1948/2193/1949 1940/2184/1941 +f 1942/2186/1943 1950/2195/1951 1949/2194/1950 1941/2185/1942 +f 1943/2187/1944 1951/2196/1952 1950/2195/1951 1942/2186/1943 +f 1944/2180/1938 1952/2189/1946 1951/2196/1952 1943/2187/1944 +f 1945/2188/1945 1953/2197/1953 1960/2198/1954 1952/2189/1946 +f 1946/2190/1947 1954/2199/1955 1953/2200/1953 1945/2191/1945 +f 1947/2192/1948 1955/2201/1956 1954/2199/1955 1946/2190/1947 +f 1948/2193/1949 1956/2202/1957 1955/2201/1956 1947/2192/1948 +f 1949/2194/1950 1957/2203/1958 1956/2202/1957 1948/2193/1949 +f 1950/2195/1951 1958/2204/1959 1957/2203/1958 1949/2194/1950 +f 1951/2196/1952 1959/2205/1960 1958/2204/1959 1950/2195/1951 +f 1952/2189/1946 1960/2198/1954 1959/2205/1960 1951/2196/1952 +f 1953/2197/1953 1961/2206/1961 1968/2207/1962 1960/2198/1954 +f 1954/2199/1955 1962/2208/1963 1961/2209/1961 1953/2200/1953 +f 1955/2201/1956 1963/2210/1964 1962/2208/1963 1954/2199/1955 +f 1956/2202/1957 1964/2211/1965 1963/2210/1964 1955/2201/1956 +f 1957/2203/1958 1965/2212/1966 1964/2211/1965 1956/2202/1957 +f 1958/2204/1959 1966/2213/1967 1965/2212/1966 1957/2203/1958 +f 1959/2205/1960 1967/2214/1968 1966/2213/1967 1958/2204/1959 +f 1960/2198/1954 1968/2207/1962 1967/2214/1968 1959/2205/1960 +f 1961/2206/1961 1969/2215/1969 1976/2216/1970 1968/2207/1962 +f 1962/2208/1963 1970/2217/1971 1969/2218/1969 1961/2209/1961 +f 1963/2210/1964 1971/2219/1972 1970/2217/1971 1962/2208/1963 +f 1964/2211/1965 1972/2220/1973 1971/2219/1972 1963/2210/1964 +f 1965/2212/1966 1973/2221/1974 1972/2220/1973 1964/2211/1965 +f 1966/2213/1967 1974/2222/1975 1973/2221/1974 1965/2212/1966 +f 1967/2214/1968 1975/2223/1976 1974/2222/1975 1966/2213/1967 +f 1968/2207/1962 1976/2216/1970 1975/2223/1976 1967/2214/1968 +f 1977/2224/1977 1985/2225/1978 1992/2226/1979 1984/2227/1980 +f 1978/2228/1981 1986/2229/1982 1985/2230/1978 1977/2231/1977 +f 1979/2232/1983 1987/2233/1984 1986/2229/1982 1978/2228/1981 +f 1980/2234/1985 1988/2235/1986 1987/2233/1984 1979/2232/1983 +f 1981/2236/1987 1989/2237/1988 1988/2235/1986 1980/2234/1985 +f 1982/2238/1989 1990/2239/1990 1989/2237/1988 1981/2236/1987 +f 1983/2240/1991 1991/2241/1992 1990/2239/1990 1982/2238/1989 +f 1984/2227/1980 1992/2226/1979 1991/2241/1992 1983/2240/1991 +f 1985/2225/1978 1993/2242/1993 2000/2243/1994 1992/2226/1979 +f 1986/2229/1982 1994/2244/1995 1993/2245/1993 1985/2230/1978 +f 1987/2233/1984 1995/2246/1996 1994/2244/1995 1986/2229/1982 +f 1988/2235/1986 1996/2247/1997 1995/2246/1996 1987/2233/1984 +f 1989/2237/1988 1997/2248/1998 1996/2247/1997 1988/2235/1986 +f 1990/2239/1990 1998/2249/1999 1997/2248/1998 1989/2237/1988 +f 1991/2241/1992 1999/2250/2000 1998/2249/1999 1990/2239/1990 +f 1992/2226/1979 2000/2243/1994 1999/2250/2000 1991/2241/1992 +f 1993/2242/1993 2001/2251/2001 2008/2252/2002 2000/2243/1994 +f 1994/2244/1995 2002/2253/2003 2001/2254/2001 1993/2245/1993 +f 1995/2246/1996 2003/2255/2004 2002/2253/2003 1994/2244/1995 +f 1996/2247/1997 2004/2256/2005 2003/2255/2004 1995/2246/1996 +f 1997/2248/1998 2005/2257/2006 2004/2256/2005 1996/2247/1997 +f 1998/2249/1999 2006/2258/2007 2005/2257/2006 1997/2248/1998 +f 1999/2250/2000 2007/2259/2008 2006/2258/2007 1998/2249/1999 +f 2000/2243/1994 2008/2252/2002 2007/2259/2008 1999/2250/2000 +f 2001/2251/2001 2009/2260/2009 2016/2261/2010 2008/2252/2002 +f 2002/2253/2003 2010/2262/2011 2009/2263/2009 2001/2254/2001 +f 2003/2255/2004 2011/2264/2012 2010/2262/2011 2002/2253/2003 +f 2004/2256/2005 2012/2265/2013 2011/2264/2012 2003/2255/2004 +f 2005/2257/2006 2013/2266/2014 2012/2265/2013 2004/2256/2005 +f 2006/2258/2007 2014/2267/2015 2013/2266/2014 2005/2257/2006 +f 2007/2259/2008 2015/2268/2016 2014/2267/2015 2006/2258/2007 +f 2008/2252/2002 2016/2261/2010 2015/2268/2016 2007/2259/2008 +f 2009/2260/2009 2017/2269/2017 2024/2270/2018 2016/2261/2010 +f 2010/2262/2011 2018/2271/2019 2017/2272/2017 2009/2263/2009 +f 2011/2264/2012 2019/2273/2020 2018/2271/2019 2010/2262/2011 +f 2012/2265/2013 2020/2274/2021 2019/2273/2020 2011/2264/2012 +f 2013/2266/2014 2021/2275/2022 2020/2274/2021 2012/2265/2013 +f 2014/2267/2015 2022/2276/2023 2021/2275/2022 2013/2266/2014 +f 2015/2268/2016 2023/2277/2024 2022/2276/2023 2014/2267/2015 +f 2016/2261/2010 2024/2270/2018 2023/2277/2024 2015/2268/2016 +f 2017/2269/2017 2025/2278/2025 2032/2279/2026 2024/2270/2018 +f 2018/2271/2019 2026/2280/2027 2025/2281/2025 2017/2272/2017 +f 2019/2273/2020 2027/2282/2028 2026/2280/2027 2018/2271/2019 +f 2020/2274/2021 2028/2283/2029 2027/2282/2028 2019/2273/2020 +f 2021/2275/2022 2029/2284/2030 2028/2283/2029 2020/2274/2021 +f 2022/2276/2023 2030/2285/2031 2029/2284/2030 2021/2275/2022 +f 2023/2277/2024 2031/2286/2032 2030/2285/2031 2022/2276/2023 +f 2024/2270/2018 2032/2279/2026 2031/2286/2032 2023/2277/2024 +f 2025/2278/2025 2033/2287/2033 2040/2288/2034 2032/2279/2026 +f 2026/2280/2027 2034/2289/2035 2033/2290/2033 2025/2281/2025 +f 2027/2282/2028 2035/2291/2036 2034/2289/2035 2026/2280/2027 +f 2028/2283/2029 2036/2292/2037 2035/2291/2036 2027/2282/2028 +f 2029/2284/2030 2037/2293/2038 2036/2292/2037 2028/2283/2029 +f 2030/2285/2031 2038/2294/2039 2037/2293/2038 2029/2284/2030 +f 2031/2286/2032 2039/2295/2040 2038/2294/2039 2030/2285/2031 +f 2032/2279/2026 2040/2288/2034 2039/2295/2040 2031/2286/2032 +f 2033/2287/2033 2041/2296/2041 2048/2297/2042 2040/2288/2034 +f 2034/2289/2035 2042/2298/2043 2041/2299/2041 2033/2290/2033 +f 2035/2291/2036 2043/2300/2044 2042/2298/2043 2034/2289/2035 +f 2036/2292/2037 2044/2301/2045 2043/2300/2044 2035/2291/2036 +f 2037/2293/2038 2045/2302/2046 2044/2301/2045 2036/2292/2037 +f 2038/2294/2039 2046/2303/2047 2045/2302/2046 2037/2293/2038 +f 2039/2295/2040 2047/2304/2048 2046/2303/2047 2038/2294/2039 +f 2040/2288/2034 2048/2297/2042 2047/2304/2048 2039/2295/2040 +f 2041/2296/2041 2049/2305/2049 2056/2306/2050 2048/2297/2042 +f 2042/2298/2043 2050/2307/2051 2049/2308/2049 2041/2299/2041 +f 2043/2300/2044 2051/2309/2052 2050/2307/2051 2042/2298/2043 +f 2044/2301/2045 2052/2310/2053 2051/2309/2052 2043/2300/2044 +f 2045/2302/2046 2053/2311/2054 2052/2310/2053 2044/2301/2045 +f 2046/2303/2047 2054/2312/2055 2053/2311/2054 2045/2302/2046 +f 2047/2304/2048 2055/2313/2056 2054/2312/2055 2046/2303/2047 +f 2048/2297/2042 2056/2306/2050 2055/2313/2056 2047/2304/2048 +f 2049/2305/2049 2057/2314/2057 2064/2315/2058 2056/2306/2050 +f 2050/2307/2051 2058/2316/2059 2057/2317/2057 2049/2308/2049 +f 2051/2309/2052 2059/2318/2060 2058/2316/2059 2050/2307/2051 +f 2052/2310/2053 2060/2319/2061 2059/2318/2060 2051/2309/2052 +f 2053/2311/2054 2061/2320/2062 2060/2319/2061 2052/2310/2053 +f 2054/2312/2055 2062/2321/2063 2061/2320/2062 2053/2311/2054 +f 2055/2313/2056 2063/2322/2064 2062/2321/2063 2054/2312/2055 +f 2056/2306/2050 2064/2315/2058 2063/2322/2064 2055/2313/2056 +f 2057/2314/2057 2065/2323/2065 2072/2324/2066 2064/2315/2058 +f 2058/2316/2059 2066/2325/2067 2065/2326/2065 2057/2317/2057 +f 2059/2318/2060 2067/2327/2068 2066/2325/2067 2058/2316/2059 +f 2060/2319/2061 2068/2328/2069 2067/2327/2068 2059/2318/2060 +f 2061/2320/2062 2069/2329/2070 2068/2328/2069 2060/2319/2061 +f 2062/2321/2063 2070/2330/2071 2069/2329/2070 2061/2320/2062 +f 2063/2322/2064 2071/2331/2072 2070/2330/2071 2062/2321/2063 +f 2064/2315/2058 2072/2324/2066 2071/2331/2072 2063/2322/2064 +f 2065/2323/2065 2073/2332/2073 2080/2333/2074 2072/2324/2066 +f 2066/2325/2067 2074/2334/2075 2073/2335/2073 2065/2326/2065 +f 2067/2327/2068 2075/2336/2076 2074/2334/2075 2066/2325/2067 +f 2068/2328/2069 2076/2337/2077 2075/2336/2076 2067/2327/2068 +f 2069/2329/2070 2077/2338/2078 2076/2337/2077 2068/2328/2069 +f 2070/2330/2071 2078/2339/2079 2077/2338/2078 2069/2329/2070 +f 2071/2331/2072 2079/2340/2080 2078/2339/2079 2070/2330/2071 +f 2072/2324/2066 2080/2333/2074 2079/2340/2080 2071/2331/2072 +f 2081/2341/2081 2089/2342/2082 2096/2343/2083 2088/2344/2084 +f 2082/2345/2085 2090/2346/2086 2089/2347/2082 2081/2348/2081 +f 2083/2349/2087 2091/2350/2088 2090/2346/2086 2082/2345/2085 +f 2084/2351/2089 2092/2352/2090 2091/2350/2088 2083/2349/2087 +f 2085/2353/2091 2093/2354/2092 2092/2352/2090 2084/2351/2089 +f 2086/2355/2093 2094/2356/2094 2093/2354/2092 2085/2353/2091 +f 2087/2357/2095 2095/2358/2096 2094/2356/2094 2086/2355/2093 +f 2088/2344/2084 2096/2343/2083 2095/2358/2096 2087/2357/2095 +f 2089/2342/2082 2097/2359/2097 2104/2360/2098 2096/2343/2083 +f 2090/2346/2086 2098/2361/2099 2097/2362/2097 2089/2347/2082 +f 2091/2350/2088 2099/2363/2100 2098/2361/2099 2090/2346/2086 +f 2092/2352/2090 2100/2364/2101 2099/2363/2100 2091/2350/2088 +f 2093/2354/2092 2101/2365/2102 2100/2364/2101 2092/2352/2090 +f 2094/2356/2094 2102/2366/2103 2101/2365/2102 2093/2354/2092 +f 2095/2358/2096 2103/2367/2104 2102/2366/2103 2094/2356/2094 +f 2096/2343/2083 2104/2360/2098 2103/2367/2104 2095/2358/2096 +f 2097/2359/2097 2105/2368/2105 2112/2369/2106 2104/2360/2098 +f 2098/2361/2099 2106/2370/2107 2105/2371/2105 2097/2362/2097 +f 2099/2363/2100 2107/2372/2108 2106/2370/2107 2098/2361/2099 +f 2100/2364/2101 2108/2373/2109 2107/2372/2108 2099/2363/2100 +f 2101/2365/2102 2109/2374/2110 2108/2373/2109 2100/2364/2101 +f 2102/2366/2103 2110/2375/2111 2109/2374/2110 2101/2365/2102 +f 2103/2367/2104 2111/2376/2112 2110/2375/2111 2102/2366/2103 +f 2104/2360/2098 2112/2369/2106 2111/2376/2112 2103/2367/2104 +f 2105/2368/2105 2113/2377/2113 2120/2378/2114 2112/2369/2106 +f 2106/2370/2107 2114/2379/2115 2113/2380/2113 2105/2371/2105 +f 2107/2372/2108 2115/2381/2116 2114/2379/2115 2106/2370/2107 +f 2108/2373/2109 2116/2382/2117 2115/2381/2116 2107/2372/2108 +f 2109/2374/2110 2117/2383/2118 2116/2382/2117 2108/2373/2109 +f 2110/2375/2111 2118/2384/2119 2117/2383/2118 2109/2374/2110 +f 2111/2376/2112 2119/2385/2120 2118/2384/2119 2110/2375/2111 +f 2112/2369/2106 2120/2378/2114 2119/2385/2120 2111/2376/2112 +f 2113/2377/2113 2121/2386/2121 2128/2387/2122 2120/2378/2114 +f 2114/2379/2115 2122/2388/2123 2121/2389/2121 2113/2380/2113 +f 2115/2381/2116 2123/2390/2124 2122/2388/2123 2114/2379/2115 +f 2116/2382/2117 2124/2391/2125 2123/2390/2124 2115/2381/2116 +f 2117/2383/2118 2125/2392/2126 2124/2391/2125 2116/2382/2117 +f 2118/2384/2119 2126/2393/2127 2125/2392/2126 2117/2383/2118 +f 2119/2385/2120 2127/2394/2128 2126/2393/2127 2118/2384/2119 +f 2120/2378/2114 2128/2387/2122 2127/2394/2128 2119/2385/2120 +f 2121/2386/2121 2129/2395/2129 2136/2396/2130 2128/2387/2122 +f 2122/2388/2123 2130/2397/2131 2129/2398/2129 2121/2389/2121 +f 2123/2390/2124 2131/2399/2132 2130/2397/2131 2122/2388/2123 +f 2124/2391/2125 2132/2400/2133 2131/2399/2132 2123/2390/2124 +f 2125/2392/2126 2133/2401/2134 2132/2400/2133 2124/2391/2125 +f 2126/2393/2127 2134/2402/2135 2133/2401/2134 2125/2392/2126 +f 2127/2394/2128 2135/2403/2136 2134/2402/2135 2126/2393/2127 +f 2128/2387/2122 2136/2396/2130 2135/2403/2136 2127/2394/2128 +f 2129/2395/2129 2137/2404/2137 2144/2405/2138 2136/2396/2130 +f 2130/2397/2131 2138/2406/2139 2137/2407/2137 2129/2398/2129 +f 2131/2399/2132 2139/2408/2140 2138/2406/2139 2130/2397/2131 +f 2132/2400/2133 2140/2409/2141 2139/2408/2140 2131/2399/2132 +f 2133/2401/2134 2141/2410/2142 2140/2409/2141 2132/2400/2133 +f 2134/2402/2135 2142/2411/2143 2141/2410/2142 2133/2401/2134 +f 2135/2403/2136 2143/2412/2144 2142/2411/2143 2134/2402/2135 +f 2136/2396/2130 2144/2405/2138 2143/2412/2144 2135/2403/2136 +f 2137/2404/2137 2145/2413/2145 2152/2414/2146 2144/2405/2138 +f 2138/2406/2139 2146/2415/2147 2145/2416/2145 2137/2407/2137 +f 2139/2408/2140 2147/2417/2148 2146/2415/2147 2138/2406/2139 +f 2140/2409/2141 2148/2418/2149 2147/2417/2148 2139/2408/2140 +f 2141/2410/2142 2149/2419/2150 2148/2418/2149 2140/2409/2141 +f 2142/2411/2143 2150/2420/2151 2149/2419/2150 2141/2410/2142 +f 2143/2412/2144 2151/2421/2152 2150/2420/2151 2142/2411/2143 +f 2144/2405/2138 2152/2414/2146 2151/2421/2152 2143/2412/2144 +f 2145/2413/2145 2153/2422/2153 2160/2423/2154 2152/2414/2146 +f 2146/2415/2147 2154/2424/2155 2153/2425/2153 2145/2416/2145 +f 2147/2417/2148 2155/2426/2156 2154/2424/2155 2146/2415/2147 +f 2148/2418/2149 2156/2427/2157 2155/2426/2156 2147/2417/2148 +f 2149/2419/2150 2157/2428/2158 2156/2427/2157 2148/2418/2149 +f 2150/2420/2151 2158/2429/2159 2157/2428/2158 2149/2419/2150 +f 2151/2421/2152 2159/2430/2160 2158/2429/2159 2150/2420/2151 +f 2152/2414/2146 2160/2423/2154 2159/2430/2160 2151/2421/2152 +f 2153/2422/2153 2161/2431/2161 2168/2432/2162 2160/2423/2154 +f 2154/2424/2155 2162/2433/2163 2161/2434/2161 2153/2425/2153 +f 2155/2426/2156 2163/2435/2164 2162/2433/2163 2154/2424/2155 +f 2156/2427/2157 2164/2436/2165 2163/2435/2164 2155/2426/2156 +f 2157/2428/2158 2165/2437/2166 2164/2436/2165 2156/2427/2157 +f 2158/2429/2159 2166/2438/2167 2165/2437/2166 2157/2428/2158 +f 2159/2430/2160 2167/2439/2168 2166/2438/2167 2158/2429/2159 +f 2160/2423/2154 2168/2432/2162 2167/2439/2168 2159/2430/2160 +f 2161/2431/2161 2169/2440/2169 2176/2441/2170 2168/2432/2162 +f 2162/2433/2163 2170/2442/2171 2169/2443/2169 2161/2434/2161 +f 2163/2435/2164 2171/2444/2172 2170/2442/2171 2162/2433/2163 +f 2164/2436/2165 2172/2445/2173 2171/2444/2172 2163/2435/2164 +f 2165/2437/2166 2173/2446/2174 2172/2445/2173 2164/2436/2165 +f 2166/2438/2167 2174/2447/2175 2173/2446/2174 2165/2437/2166 +f 2167/2439/2168 2175/2448/2176 2174/2447/2175 2166/2438/2167 +f 2168/2432/2162 2176/2441/2170 2175/2448/2176 2167/2439/2168 +f 2169/2440/2169 2177/2449/2177 2184/2450/2178 2176/2441/2170 +f 2170/2442/2171 2178/2451/2179 2177/2452/2177 2169/2443/2169 +f 2171/2444/2172 2179/2453/2180 2178/2451/2179 2170/2442/2171 +f 2172/2445/2173 2180/2454/2181 2179/2453/2180 2171/2444/2172 +f 2173/2446/2174 2181/2455/2182 2180/2454/2181 2172/2445/2173 +f 2174/2447/2175 2182/2456/2183 2181/2455/2182 2173/2446/2174 +f 2175/2448/2176 2183/2457/2184 2182/2456/2183 2174/2447/2175 +f 2176/2441/2170 2184/2450/2178 2183/2457/2184 2175/2448/2176 +f 2185/2458/2185 2193/2459/2186 2200/2460/2187 2192/2461/2188 +f 2186/2462/2189 2194/2463/2190 2193/2464/2186 2185/2465/2185 +f 2187/2466/2191 2195/2467/2192 2194/2463/2190 2186/2462/2189 +f 2188/2468/2193 2196/2469/2194 2195/2467/2192 2187/2466/2191 +f 2189/2470/2195 2197/2471/2196 2196/2469/2194 2188/2468/2193 +f 2190/2472/2197 2198/2473/2198 2197/2471/2196 2189/2470/2195 +f 2191/2474/2199 2199/2475/2200 2198/2473/2198 2190/2472/2197 +f 2192/2461/2188 2200/2460/2187 2199/2475/2200 2191/2474/2199 +f 2193/2459/2186 2201/2476/2201 2208/2477/2202 2200/2460/2187 +f 2194/2463/2190 2202/2478/2203 2201/2479/2201 2193/2464/2186 +f 2195/2467/2192 2203/2480/2204 2202/2478/2203 2194/2463/2190 +f 2196/2469/2194 2204/2481/2205 2203/2480/2204 2195/2467/2192 +f 2197/2471/2196 2205/2482/2206 2204/2481/2205 2196/2469/2194 +f 2198/2473/2198 2206/2483/2207 2205/2482/2206 2197/2471/2196 +f 2199/2475/2200 2207/2484/2208 2206/2483/2207 2198/2473/2198 +f 2200/2460/2187 2208/2477/2202 2207/2484/2208 2199/2475/2200 +f 2201/2476/2201 2209/2485/2209 2216/2486/2210 2208/2477/2202 +f 2202/2478/2203 2210/2487/2211 2209/2488/2209 2201/2479/2201 +f 2203/2480/2204 2211/2489/2212 2210/2487/2211 2202/2478/2203 +f 2204/2481/2205 2212/2490/2213 2211/2489/2212 2203/2480/2204 +f 2205/2482/2206 2213/2491/2214 2212/2490/2213 2204/2481/2205 +f 2206/2483/2207 2214/2492/2215 2213/2491/2214 2205/2482/2206 +f 2207/2484/2208 2215/2493/2216 2214/2492/2215 2206/2483/2207 +f 2208/2477/2202 2216/2486/2210 2215/2493/2216 2207/2484/2208 +f 2209/2485/2209 2217/2494/2217 2224/2495/2218 2216/2486/2210 +f 2210/2487/2211 2218/2496/2219 2217/2497/2217 2209/2488/2209 +f 2211/2489/2212 2219/2498/2220 2218/2496/2219 2210/2487/2211 +f 2212/2490/2213 2220/2499/2221 2219/2498/2220 2211/2489/2212 +f 2213/2491/2214 2221/2500/2222 2220/2499/2221 2212/2490/2213 +f 2214/2492/2215 2222/2501/2223 2221/2500/2222 2213/2491/2214 +f 2215/2493/2216 2223/2502/2224 2222/2501/2223 2214/2492/2215 +f 2216/2486/2210 2224/2495/2218 2223/2502/2224 2215/2493/2216 +f 2217/2494/2217 2225/2503/2225 2232/2504/2226 2224/2495/2218 +f 2218/2496/2219 2226/2505/2227 2225/2506/2225 2217/2497/2217 +f 2219/2498/2220 2227/2507/2228 2226/2505/2227 2218/2496/2219 +f 2220/2499/2221 2228/2508/2229 2227/2507/2228 2219/2498/2220 +f 2221/2500/2222 2229/2509/2230 2228/2508/2229 2220/2499/2221 +f 2222/2501/2223 2230/2510/2231 2229/2509/2230 2221/2500/2222 +f 2223/2502/2224 2231/2511/2232 2230/2510/2231 2222/2501/2223 +f 2224/2495/2218 2232/2504/2226 2231/2511/2232 2223/2502/2224 +f 2225/2503/2225 2233/2512/2233 2240/2513/2234 2232/2504/2226 +f 2226/2505/2227 2234/2514/2235 2233/2515/2233 2225/2506/2225 +f 2227/2507/2228 2235/2516/2236 2234/2514/2235 2226/2505/2227 +f 2228/2508/2229 2236/2517/2237 2235/2516/2236 2227/2507/2228 +f 2229/2509/2230 2237/2518/2238 2236/2517/2237 2228/2508/2229 +f 2230/2510/2231 2238/2519/2239 2237/2518/2238 2229/2509/2230 +f 2231/2511/2232 2239/2520/2240 2238/2519/2239 2230/2510/2231 +f 2232/2504/2226 2240/2513/2234 2239/2520/2240 2231/2511/2232 +f 2233/2512/2233 2241/2521/2241 2248/2522/2242 2240/2513/2234 +f 2234/2514/2235 2242/2523/2243 2241/2524/2241 2233/2515/2233 +f 2235/2516/2236 2243/2525/2244 2242/2523/2243 2234/2514/2235 +f 2236/2517/2237 2244/2526/2245 2243/2525/2244 2235/2516/2236 +f 2237/2518/2238 2245/2527/2246 2244/2526/2245 2236/2517/2237 +f 2238/2519/2239 2246/2528/2247 2245/2527/2246 2237/2518/2238 +f 2239/2520/2240 2247/2529/2248 2246/2528/2247 2238/2519/2239 +f 2240/2513/2234 2248/2522/2242 2247/2529/2248 2239/2520/2240 +f 2241/2521/2241 2249/2530/2249 2256/2531/2250 2248/2522/2242 +f 2242/2523/2243 2250/2532/2251 2249/2533/2249 2241/2524/2241 +f 2243/2525/2244 2251/2534/2252 2250/2532/2251 2242/2523/2243 +f 2244/2526/2245 2252/2535/2253 2251/2534/2252 2243/2525/2244 +f 2245/2527/2246 2253/2536/2254 2252/2535/2253 2244/2526/2245 +f 2246/2528/2247 2254/2537/2255 2253/2536/2254 2245/2527/2246 +f 2247/2529/2248 2255/2538/2256 2254/2537/2255 2246/2528/2247 +f 2248/2522/2242 2256/2531/2250 2255/2538/2256 2247/2529/2248 +f 2249/2530/2249 2257/2539/2257 2264/2540/2258 2256/2531/2250 +f 2250/2532/2251 2258/2541/2259 2257/2542/2257 2249/2533/2249 +f 2251/2534/2252 2259/2543/2260 2258/2541/2259 2250/2532/2251 +f 2252/2535/2253 2260/2544/2261 2259/2543/2260 2251/2534/2252 +f 2253/2536/2254 2261/2545/2262 2260/2544/2261 2252/2535/2253 +f 2254/2537/2255 2262/2546/2263 2261/2545/2262 2253/2536/2254 +f 2255/2538/2256 2263/2547/2264 2262/2546/2263 2254/2537/2255 +f 2256/2531/2250 2264/2540/2258 2263/2547/2264 2255/2538/2256 +f 2257/2539/2257 2265/2548/2265 2272/2549/2266 2264/2540/2258 +f 2258/2541/2259 2266/2550/2267 2265/2551/2265 2257/2542/2257 +f 2259/2543/2260 2267/2552/2268 2266/2550/2267 2258/2541/2259 +f 2260/2544/2261 2268/2553/2269 2267/2552/2268 2259/2543/2260 +f 2261/2545/2262 2269/2554/2270 2268/2553/2269 2260/2544/2261 +f 2262/2546/2263 2270/2555/2271 2269/2554/2270 2261/2545/2262 +f 2263/2547/2264 2271/2556/2272 2270/2555/2271 2262/2546/2263 +f 2264/2540/2258 2272/2549/2266 2271/2556/2272 2263/2547/2264 +f 2265/2548/2265 2273/2557/2273 2280/2558/2274 2272/2549/2266 +f 2266/2550/2267 2274/2559/2275 2273/2560/2273 2265/2551/2265 +f 2267/2552/2268 2275/2561/2276 2274/2559/2275 2266/2550/2267 +f 2268/2553/2269 2276/2562/2277 2275/2561/2276 2267/2552/2268 +f 2269/2554/2270 2277/2563/2278 2276/2562/2277 2268/2553/2269 +f 2270/2555/2271 2278/2564/2279 2277/2563/2278 2269/2554/2270 +f 2271/2556/2272 2279/2565/2280 2278/2564/2279 2270/2555/2271 +f 2272/2549/2266 2280/2558/2274 2279/2565/2280 2271/2556/2272 +f 2273/2557/2273 2281/2566/2281 2288/2567/2282 2280/2558/2274 +f 2274/2559/2275 2282/2568/2283 2281/2569/2281 2273/2560/2273 +f 2275/2561/2276 2283/2570/2284 2282/2568/2283 2274/2559/2275 +f 2276/2562/2277 2284/2571/2285 2283/2570/2284 2275/2561/2276 +f 2277/2563/2278 2285/2572/2286 2284/2571/2285 2276/2562/2277 +f 2278/2564/2279 2286/2573/2287 2285/2572/2286 2277/2563/2278 +f 2279/2565/2280 2287/2574/2288 2286/2573/2287 2278/2564/2279 +f 2280/2558/2274 2288/2567/2282 2287/2574/2288 2279/2565/2280 +f 2289/2575/2289 2297/2576/2290 2304/2577/2291 2296/2578/2292 +f 2290/2579/2293 2298/2580/2294 2297/2581/2290 2289/2582/2289 +f 2291/2583/2295 2299/2584/2296 2298/2580/2294 2290/2579/2293 +f 2292/2585/2297 2300/2586/2298 2299/2584/2296 2291/2583/2295 +f 2293/2587/2299 2301/2588/2300 2300/2586/2298 2292/2585/2297 +f 2294/2589/2301 2302/2590/2302 2301/2588/2300 2293/2587/2299 +f 2295/2591/2303 2303/2592/2304 2302/2590/2302 2294/2589/2301 +f 2296/2578/2292 2304/2577/2291 2303/2592/2304 2295/2591/2303 +f 2297/2576/2290 2305/2593/2305 2312/2594/2306 2304/2577/2291 +f 2298/2580/2294 2306/2595/2307 2305/2596/2305 2297/2581/2290 +f 2299/2584/2296 2307/2597/2308 2306/2595/2307 2298/2580/2294 +f 2300/2586/2298 2308/2598/2309 2307/2597/2308 2299/2584/2296 +f 2301/2588/2300 2309/2599/2310 2308/2598/2309 2300/2586/2298 +f 2302/2590/2302 2310/2600/2311 2309/2599/2310 2301/2588/2300 +f 2303/2592/2304 2311/2601/2312 2310/2600/2311 2302/2590/2302 +f 2304/2577/2291 2312/2594/2306 2311/2601/2312 2303/2592/2304 +f 2305/2593/2305 2313/2602/2313 2320/2603/2314 2312/2594/2306 +f 2306/2595/2307 2314/2604/2315 2313/2605/2313 2305/2596/2305 +f 2307/2597/2308 2315/2606/2316 2314/2604/2315 2306/2595/2307 +f 2308/2598/2309 2316/2607/2317 2315/2606/2316 2307/2597/2308 +f 2309/2599/2310 2317/2608/2318 2316/2607/2317 2308/2598/2309 +f 2310/2600/2311 2318/2609/2319 2317/2608/2318 2309/2599/2310 +f 2311/2601/2312 2319/2610/2320 2318/2609/2319 2310/2600/2311 +f 2312/2594/2306 2320/2603/2314 2319/2610/2320 2311/2601/2312 +f 2313/2602/2313 2321/2611/2321 2328/2612/2322 2320/2603/2314 +f 2314/2604/2315 2322/2613/2323 2321/2614/2321 2313/2605/2313 +f 2315/2606/2316 2323/2615/2324 2322/2613/2323 2314/2604/2315 +f 2316/2607/2317 2324/2616/2325 2323/2615/2324 2315/2606/2316 +f 2317/2608/2318 2325/2617/2326 2324/2616/2325 2316/2607/2317 +f 2318/2609/2319 2326/2618/2327 2325/2617/2326 2317/2608/2318 +f 2319/2610/2320 2327/2619/2328 2326/2618/2327 2318/2609/2319 +f 2320/2603/2314 2328/2612/2322 2327/2619/2328 2319/2610/2320 +f 2321/2611/2321 2329/2620/2329 2336/2621/2330 2328/2612/2322 +f 2322/2613/2323 2330/2622/2331 2329/2623/2329 2321/2614/2321 +f 2323/2615/2324 2331/2624/2332 2330/2622/2331 2322/2613/2323 +f 2324/2616/2325 2332/2625/2333 2331/2624/2332 2323/2615/2324 +f 2325/2617/2326 2333/2626/2334 2332/2625/2333 2324/2616/2325 +f 2326/2618/2327 2334/2627/2335 2333/2626/2334 2325/2617/2326 +f 2327/2619/2328 2335/2628/2336 2334/2627/2335 2326/2618/2327 +f 2328/2612/2322 2336/2621/2330 2335/2628/2336 2327/2619/2328 +f 2329/2620/2329 2337/2629/2337 2344/2630/2338 2336/2621/2330 +f 2330/2622/2331 2338/2631/2339 2337/2632/2337 2329/2623/2329 +f 2331/2624/2332 2339/2633/2340 2338/2631/2339 2330/2622/2331 +f 2332/2625/2333 2340/2634/2341 2339/2633/2340 2331/2624/2332 +f 2333/2626/2334 2341/2635/2342 2340/2634/2341 2332/2625/2333 +f 2334/2627/2335 2342/2636/2343 2341/2635/2342 2333/2626/2334 +f 2335/2628/2336 2343/2637/2344 2342/2636/2343 2334/2627/2335 +f 2336/2621/2330 2344/2630/2338 2343/2637/2344 2335/2628/2336 +f 2337/2629/2337 2345/2638/2345 2352/2639/2346 2344/2630/2338 +f 2338/2631/2339 2346/2640/2347 2345/2641/2345 2337/2632/2337 +f 2339/2633/2340 2347/2642/2348 2346/2640/2347 2338/2631/2339 +f 2340/2634/2341 2348/2643/2349 2347/2642/2348 2339/2633/2340 +f 2341/2635/2342 2349/2644/2350 2348/2643/2349 2340/2634/2341 +f 2342/2636/2343 2350/2645/2351 2349/2644/2350 2341/2635/2342 +f 2343/2637/2344 2351/2646/2352 2350/2645/2351 2342/2636/2343 +f 2344/2630/2338 2352/2639/2346 2351/2646/2352 2343/2637/2344 +f 2345/2638/2345 2353/2647/2353 2360/2648/2354 2352/2639/2346 +f 2346/2640/2347 2354/2649/2355 2353/2650/2353 2345/2641/2345 +f 2347/2642/2348 2355/2651/2356 2354/2649/2355 2346/2640/2347 +f 2348/2643/2349 2356/2652/2357 2355/2651/2356 2347/2642/2348 +f 2349/2644/2350 2357/2653/2358 2356/2652/2357 2348/2643/2349 +f 2350/2645/2351 2358/2654/2359 2357/2653/2358 2349/2644/2350 +f 2351/2646/2352 2359/2655/2360 2358/2654/2359 2350/2645/2351 +f 2352/2639/2346 2360/2648/2354 2359/2655/2360 2351/2646/2352 +f 2353/2647/2353 2361/2656/2361 2368/2657/2362 2360/2648/2354 +f 2354/2649/2355 2362/2658/2363 2361/2659/2361 2353/2650/2353 +f 2355/2651/2356 2363/2660/2364 2362/2658/2363 2354/2649/2355 +f 2356/2652/2357 2364/2661/2365 2363/2660/2364 2355/2651/2356 +f 2357/2653/2358 2365/2662/2366 2364/2661/2365 2356/2652/2357 +f 2358/2654/2359 2366/2663/2367 2365/2662/2366 2357/2653/2358 +f 2359/2655/2360 2367/2664/2368 2366/2663/2367 2358/2654/2359 +f 2360/2648/2354 2368/2657/2362 2367/2664/2368 2359/2655/2360 +f 2361/2656/2361 2369/2665/2369 2376/2666/2370 2368/2657/2362 +f 2362/2658/2363 2370/2667/2371 2369/2668/2369 2361/2659/2361 +f 2363/2660/2364 2371/2669/2372 2370/2667/2371 2362/2658/2363 +f 2364/2661/2365 2372/2670/2373 2371/2669/2372 2363/2660/2364 +f 2365/2662/2366 2373/2671/2374 2372/2670/2373 2364/2661/2365 +f 2366/2663/2367 2374/2672/2375 2373/2671/2374 2365/2662/2366 +f 2367/2664/2368 2375/2673/2376 2374/2672/2375 2366/2663/2367 +f 2368/2657/2362 2376/2666/2370 2375/2673/2376 2367/2664/2368 +f 2369/2665/2369 2377/2674/2377 2384/2675/2378 2376/2666/2370 +f 2370/2667/2371 2378/2676/2379 2377/2677/2377 2369/2668/2369 +f 2371/2669/2372 2379/2678/2380 2378/2676/2379 2370/2667/2371 +f 2372/2670/2373 2380/2679/2381 2379/2678/2380 2371/2669/2372 +f 2373/2671/2374 2381/2680/2382 2380/2679/2381 2372/2670/2373 +f 2374/2672/2375 2382/2681/2383 2381/2680/2382 2373/2671/2374 +f 2375/2673/2376 2383/2682/2384 2382/2681/2383 2374/2672/2375 +f 2376/2666/2370 2384/2675/2378 2383/2682/2384 2375/2673/2376 +f 2377/2674/2377 2385/2683/2385 2392/2684/2386 2384/2675/2378 +f 2378/2676/2379 2386/2685/2387 2385/2686/2385 2377/2677/2377 +f 2379/2678/2380 2387/2687/2388 2386/2685/2387 2378/2676/2379 +f 2380/2679/2381 2388/2688/2389 2387/2687/2388 2379/2678/2380 +f 2381/2680/2382 2389/2689/2390 2388/2688/2389 2380/2679/2381 +f 2382/2681/2383 2390/2690/2391 2389/2689/2390 2381/2680/2382 +f 2383/2682/2384 2391/2691/2392 2390/2690/2391 2382/2681/2383 +f 2384/2675/2378 2392/2684/2386 2391/2691/2392 2383/2682/2384 +f 2393/2692/2393 2401/2693/2394 2408/2694/2395 2400/2695/2396 +f 2394/2696/2397 2402/2697/2398 2401/2698/2394 2393/2699/2393 +f 2395/2700/2399 2403/2701/2400 2402/2697/2398 2394/2696/2397 +f 2396/2702/2401 2404/2703/2402 2403/2701/2400 2395/2700/2399 +f 2397/2704/2403 2405/2705/2404 2404/2703/2402 2396/2702/2401 +f 2398/2706/2405 2406/2707/2406 2405/2705/2404 2397/2704/2403 +f 2399/2708/2407 2407/2709/2408 2406/2707/2406 2398/2706/2405 +f 2400/2695/2396 2408/2694/2395 2407/2709/2408 2399/2708/2407 +f 2401/2693/2394 2409/2710/2409 2416/2711/2410 2408/2694/2395 +f 2402/2697/2398 2410/2712/2411 2409/2713/2409 2401/2698/2394 +f 2403/2701/2400 2411/2714/2412 2410/2712/2411 2402/2697/2398 +f 2404/2703/2402 2412/2715/2413 2411/2714/2412 2403/2701/2400 +f 2405/2705/2404 2413/2716/2414 2412/2715/2413 2404/2703/2402 +f 2406/2707/2406 2414/2717/2415 2413/2716/2414 2405/2705/2404 +f 2407/2709/2408 2415/2718/2416 2414/2717/2415 2406/2707/2406 +f 2408/2694/2395 2416/2711/2410 2415/2718/2416 2407/2709/2408 +f 2409/2710/2409 2417/2719/2417 2424/2720/2418 2416/2711/2410 +f 2410/2712/2411 2418/2721/2419 2417/2722/2417 2409/2713/2409 +f 2411/2714/2412 2419/2723/2420 2418/2721/2419 2410/2712/2411 +f 2412/2715/2413 2420/2724/2421 2419/2723/2420 2411/2714/2412 +f 2413/2716/2414 2421/2725/2422 2420/2724/2421 2412/2715/2413 +f 2414/2717/2415 2422/2726/2423 2421/2725/2422 2413/2716/2414 +f 2415/2718/2416 2423/2727/2424 2422/2726/2423 2414/2717/2415 +f 2416/2711/2410 2424/2720/2418 2423/2727/2424 2415/2718/2416 +f 2417/2719/2417 2425/2728/2425 2432/2729/2426 2424/2720/2418 +f 2418/2721/2419 2426/2730/2427 2425/2731/2425 2417/2722/2417 +f 2419/2723/2420 2427/2732/2428 2426/2730/2427 2418/2721/2419 +f 2420/2724/2421 2428/2733/2429 2427/2732/2428 2419/2723/2420 +f 2421/2725/2422 2429/2734/2430 2428/2733/2429 2420/2724/2421 +f 2422/2726/2423 2430/2735/2431 2429/2734/2430 2421/2725/2422 +f 2423/2727/2424 2431/2736/2432 2430/2735/2431 2422/2726/2423 +f 2424/2720/2418 2432/2729/2426 2431/2736/2432 2423/2727/2424 +f 2425/2728/2425 2433/2737/2433 2440/2738/2434 2432/2729/2426 +f 2426/2730/2427 2434/2739/2435 2433/2740/2433 2425/2731/2425 +f 2427/2732/2428 2435/2741/2436 2434/2739/2435 2426/2730/2427 +f 2428/2733/2429 2436/2742/2437 2435/2741/2436 2427/2732/2428 +f 2429/2734/2430 2437/2743/2438 2436/2742/2437 2428/2733/2429 +f 2430/2735/2431 2438/2744/2439 2437/2743/2438 2429/2734/2430 +f 2431/2736/2432 2439/2745/2440 2438/2744/2439 2430/2735/2431 +f 2432/2729/2426 2440/2738/2434 2439/2745/2440 2431/2736/2432 +f 2433/2737/2433 2441/2746/2441 2448/2747/2442 2440/2738/2434 +f 2434/2739/2435 2442/2748/2443 2441/2749/2441 2433/2740/2433 +f 2435/2741/2436 2443/2750/2444 2442/2748/2443 2434/2739/2435 +f 2436/2742/2437 2444/2751/2445 2443/2750/2444 2435/2741/2436 +f 2437/2743/2438 2445/2752/2446 2444/2751/2445 2436/2742/2437 +f 2438/2744/2439 2446/2753/2447 2445/2752/2446 2437/2743/2438 +f 2439/2745/2440 2447/2754/2448 2446/2753/2447 2438/2744/2439 +f 2440/2738/2434 2448/2747/2442 2447/2754/2448 2439/2745/2440 +f 2441/2746/2441 2449/2755/2449 2456/2756/2450 2448/2747/2442 +f 2442/2748/2443 2450/2757/2451 2449/2758/2449 2441/2749/2441 +f 2443/2750/2444 2451/2759/2452 2450/2757/2451 2442/2748/2443 +f 2444/2751/2445 2452/2760/2453 2451/2759/2452 2443/2750/2444 +f 2445/2752/2446 2453/2761/2454 2452/2760/2453 2444/2751/2445 +f 2446/2753/2447 2454/2762/2455 2453/2761/2454 2445/2752/2446 +f 2447/2754/2448 2455/2763/2456 2454/2762/2455 2446/2753/2447 +f 2448/2747/2442 2456/2756/2450 2455/2763/2456 2447/2754/2448 +f 2449/2755/2449 2457/2764/2457 2464/2765/2458 2456/2756/2450 +f 2450/2757/2451 2458/2766/2459 2457/2767/2457 2449/2758/2449 +f 2451/2759/2452 2459/2768/2460 2458/2766/2459 2450/2757/2451 +f 2452/2760/2453 2460/2769/2461 2459/2768/2460 2451/2759/2452 +f 2453/2761/2454 2461/2770/2462 2460/2769/2461 2452/2760/2453 +f 2454/2762/2455 2462/2771/2463 2461/2770/2462 2453/2761/2454 +f 2455/2763/2456 2463/2772/2464 2462/2771/2463 2454/2762/2455 +f 2456/2756/2450 2464/2765/2458 2463/2772/2464 2455/2763/2456 +f 2457/2764/2457 2465/2773/2465 2472/2774/2466 2464/2765/2458 +f 2458/2766/2459 2466/2775/2467 2465/2776/2465 2457/2767/2457 +f 2459/2768/2460 2467/2777/2468 2466/2775/2467 2458/2766/2459 +f 2460/2769/2461 2468/2778/2469 2467/2777/2468 2459/2768/2460 +f 2461/2770/2462 2469/2779/2470 2468/2778/2469 2460/2769/2461 +f 2462/2771/2463 2470/2780/2471 2469/2779/2470 2461/2770/2462 +f 2463/2772/2464 2471/2781/2472 2470/2780/2471 2462/2771/2463 +f 2464/2765/2458 2472/2774/2466 2471/2781/2472 2463/2772/2464 +f 2473/2782/2473 2481/2783/2473 2488/2784/2474 2480/2785/2474 +f 2474/2786/2475 2482/2787/2475 2481/2788/2473 2473/2789/2473 +f 2475/2790/2476 2483/2791/2477 2482/2787/2475 2474/2786/2475 +f 2476/2792/2478 2484/2793/2478 2483/2791/2477 2475/2790/2476 +f 2477/2794/2479 2485/2795/2479 2484/2793/2478 2476/2792/2478 +f 2478/2796/2480 2486/2797/2480 2485/2795/2479 2477/2794/2479 +f 2479/2798/2481 2487/2799/2481 2486/2797/2480 2478/2796/2480 +f 2480/2785/2474 2488/2784/2474 2487/2799/2481 2479/2798/2481 +f 2481/2783/2473 2489/2800/2482 2496/2801/2474 2488/2784/2474 +f 2482/2787/2475 2490/2802/2483 2489/2803/2482 2481/2788/2473 +f 2483/2791/2477 2491/2804/2484 2490/2802/2483 2482/2787/2475 +f 2484/2793/2478 2492/2805/2485 2491/2804/2484 2483/2791/2477 +f 2485/2795/2479 2493/2806/2479 2492/2805/2485 2484/2793/2478 +f 2486/2797/2480 2494/2807/2480 2493/2806/2479 2485/2795/2479 +f 2487/2799/2481 2495/2808/2481 2494/2807/2480 2486/2797/2480 +f 2488/2784/2474 2496/2801/2474 2495/2808/2481 2487/2799/2481 +f 2489/2800/2482 2497/2809/2482 2504/2810/2486 2496/2801/2474 +f 2490/2802/2483 2498/2811/2483 2497/2812/2482 2489/2803/2482 +f 2491/2804/2484 2499/2813/2484 2498/2811/2483 2490/2802/2483 +f 2492/2805/2485 2500/2814/2485 2499/2813/2484 2491/2804/2484 +f 2493/2806/2479 2501/2815/2487 2500/2814/2485 2492/2805/2485 +f 2494/2807/2480 2502/2816/2488 2501/2815/2487 2493/2806/2479 +f 2495/2808/2481 2503/2817/2489 2502/2816/2488 2494/2807/2480 +f 2496/2801/2474 2504/2810/2486 2503/2817/2489 2495/2808/2481 +f 2505/2818/2490 2513/2819/2491 2520/2820/2492 2512/2821/2493 +f 2506/2822/2494 2514/2823/2495 2513/2824/2491 2505/2825/2490 +f 2507/2826/2496 2515/2827/2497 2514/2823/2495 2506/2822/2494 +f 2508/2828/2498 2516/2829/2499 2515/2827/2497 2507/2826/2496 +f 2509/2830/2500 2517/2831/2501 2516/2829/2499 2508/2828/2498 +f 2510/2832/2502 2518/2833/2503 2517/2831/2501 2509/2830/2500 +f 2511/2834/2504 2519/2835/2505 2518/2833/2503 2510/2832/2502 +f 2512/2821/2493 2520/2820/2492 2519/2835/2505 2511/2834/2504 +f 2513/2819/2491 2521/2836/2506 2528/2837/2507 2520/2820/2492 +f 2514/2823/2495 2522/2838/2508 2521/2839/2506 2513/2824/2491 +f 2515/2827/2497 2523/2840/2509 2522/2838/2508 2514/2823/2495 +f 2516/2829/2499 2524/2841/2510 2523/2840/2509 2515/2827/2497 +f 2517/2831/2501 2525/2842/2511 2524/2841/2510 2516/2829/2499 +f 2518/2833/2503 2526/2843/2512 2525/2842/2511 2517/2831/2501 +f 2519/2835/2505 2527/2844/2513 2526/2843/2512 2518/2833/2503 +f 2520/2820/2492 2528/2837/2507 2527/2844/2513 2519/2835/2505 +f 2521/2836/2506 2529/2845/2514 2536/2846/2515 2528/2837/2507 +f 2522/2838/2508 2530/2847/2516 2529/2848/2514 2521/2839/2506 +f 2523/2840/2509 2531/2849/2517 2530/2847/2516 2522/2838/2508 +f 2524/2841/2510 2532/2850/2518 2531/2849/2517 2523/2840/2509 +f 2525/2842/2511 2533/2851/2519 2532/2850/2518 2524/2841/2510 +f 2526/2843/2512 2534/2852/2520 2533/2851/2519 2525/2842/2511 +f 2527/2844/2513 2535/2853/2521 2534/2852/2520 2526/2843/2512 +f 2528/2837/2507 2536/2846/2515 2535/2853/2521 2527/2844/2513 +f 2529/2845/2514 2537/2854/2522 2544/2855/2523 2536/2846/2515 +f 2530/2847/2516 2538/2856/2524 2537/2857/2522 2529/2848/2514 +f 2531/2849/2517 2539/2858/2525 2538/2856/2524 2530/2847/2516 +f 2532/2850/2518 2540/2859/2526 2539/2858/2525 2531/2849/2517 +f 2533/2851/2519 2541/2860/2527 2540/2859/2526 2532/2850/2518 +f 2534/2852/2520 2542/2861/2528 2541/2860/2527 2533/2851/2519 +f 2535/2853/2521 2543/2862/2529 2542/2861/2528 2534/2852/2520 +f 2536/2846/2515 2544/2855/2523 2543/2862/2529 2535/2853/2521 +f 2537/2854/2522 2545/2863/2530 2552/2864/2531 2544/2855/2523 +f 2538/2856/2524 2546/2865/2532 2545/2866/2530 2537/2857/2522 +f 2539/2858/2525 2547/2867/2533 2546/2865/2532 2538/2856/2524 +f 2540/2859/2526 2548/2868/2534 2547/2867/2533 2539/2858/2525 +f 2541/2860/2527 2549/2869/2535 2548/2868/2534 2540/2859/2526 +f 2542/2861/2528 2550/2870/2536 2549/2869/2535 2541/2860/2527 +f 2543/2862/2529 2551/2871/2537 2550/2870/2536 2542/2861/2528 +f 2544/2855/2523 2552/2864/2531 2551/2871/2537 2543/2862/2529 +f 2545/2863/2530 2553/2872/2538 2560/2873/2539 2552/2864/2531 +f 2546/2865/2532 2554/2874/2540 2553/2875/2538 2545/2866/2530 +f 2547/2867/2533 2555/2876/2541 2554/2874/2540 2546/2865/2532 +f 2548/2868/2534 2556/2877/2542 2555/2876/2541 2547/2867/2533 +f 2549/2869/2535 2557/2878/2543 2556/2877/2542 2548/2868/2534 +f 2550/2870/2536 2558/2879/2544 2557/2878/2543 2549/2869/2535 +f 2551/2871/2537 2559/2880/2545 2558/2879/2544 2550/2870/2536 +f 2552/2864/2531 2560/2873/2539 2559/2880/2545 2551/2871/2537 +f 2561/2881/2546 2569/2882/2547 2576/2883/2548 2568/2884/2549 +f 2562/2885/2550 2570/2886/2551 2569/2887/2547 2561/2888/2546 +f 2563/2889/2552 2571/2890/2553 2570/2886/2551 2562/2885/2550 +f 2564/2891/2554 2572/2892/2555 2571/2890/2553 2563/2889/2552 +f 2565/2893/2556 2573/2894/2557 2572/2892/2555 2564/2891/2554 +f 2566/2895/2558 2574/2896/2559 2573/2894/2557 2565/2893/2556 +f 2567/2897/2560 2575/2898/2561 2574/2896/2559 2566/2895/2558 +f 2568/2884/2549 2576/2883/2548 2575/2898/2561 2567/2897/2560 +f 2569/2882/2547 2577/2899/2562 2584/2900/2563 2576/2883/2548 +f 2570/2886/2551 2578/2901/2564 2577/2902/2562 2569/2887/2547 +f 2571/2890/2553 2579/2903/2565 2578/2901/2564 2570/2886/2551 +f 2572/2892/2555 2580/2904/2566 2579/2903/2565 2571/2890/2553 +f 2573/2894/2557 2581/2905/2567 2580/2904/2566 2572/2892/2555 +f 2574/2896/2559 2582/2906/2568 2581/2905/2567 2573/2894/2557 +f 2575/2898/2561 2583/2907/2569 2582/2906/2568 2574/2896/2559 +f 2576/2883/2548 2584/2900/2563 2583/2907/2569 2575/2898/2561 +f 2577/2899/2562 2585/2908/2570 2592/2909/2571 2584/2900/2563 +f 2578/2901/2564 2586/2910/2572 2585/2911/2570 2577/2902/2562 +f 2579/2903/2565 2587/2912/2573 2586/2910/2572 2578/2901/2564 +f 2580/2904/2566 2588/2913/2574 2587/2912/2573 2579/2903/2565 +f 2581/2905/2567 2589/2914/2575 2588/2913/2574 2580/2904/2566 +f 2582/2906/2568 2590/2915/2576 2589/2914/2575 2581/2905/2567 +f 2583/2907/2569 2591/2916/2577 2590/2915/2576 2582/2906/2568 +f 2584/2900/2563 2592/2909/2571 2591/2916/2577 2583/2907/2569 +f 2585/2908/2570 2593/2917/2578 2600/2918/2579 2592/2909/2571 +f 2586/2910/2572 2594/2919/2580 2593/2920/2578 2585/2911/2570 +f 2587/2912/2573 2595/2921/2581 2594/2919/2580 2586/2910/2572 +f 2588/2913/2574 2596/2922/2582 2595/2921/2581 2587/2912/2573 +f 2589/2914/2575 2597/2923/2583 2596/2922/2582 2588/2913/2574 +f 2590/2915/2576 2598/2924/2584 2597/2923/2583 2589/2914/2575 +f 2591/2916/2577 2599/2925/2585 2598/2924/2584 2590/2915/2576 +f 2592/2909/2571 2600/2918/2579 2599/2925/2585 2591/2916/2577 +f 2593/2917/2578 2601/2926/2586 2608/2927/2587 2600/2918/2579 +f 2594/2919/2580 2602/2928/2588 2601/2929/2586 2593/2920/2578 +f 2595/2921/2581 2603/2930/2589 2602/2928/2588 2594/2919/2580 +f 2596/2922/2582 2604/2931/2590 2603/2930/2589 2595/2921/2581 +f 2597/2923/2583 2605/2932/2591 2604/2931/2590 2596/2922/2582 +f 2598/2924/2584 2606/2933/2592 2605/2932/2591 2597/2923/2583 +f 2599/2925/2585 2607/2934/2593 2606/2933/2592 2598/2924/2584 +f 2600/2918/2579 2608/2927/2587 2607/2934/2593 2599/2925/2585 +f 2601/2926/2586 2609/2935/2594 2616/2936/2595 2608/2927/2587 +f 2602/2928/2588 2610/2937/2596 2609/2938/2594 2601/2929/2586 +f 2603/2930/2589 2611/2939/2597 2610/2937/2596 2602/2928/2588 +f 2604/2931/2590 2612/2940/2598 2611/2939/2597 2603/2930/2589 +f 2605/2932/2591 2613/2941/2599 2612/2940/2598 2604/2931/2590 +f 2606/2933/2592 2614/2942/2600 2613/2941/2599 2605/2932/2591 +f 2607/2934/2593 2615/2943/2601 2614/2942/2600 2606/2933/2592 +f 2608/2927/2587 2616/2936/2595 2615/2943/2601 2607/2934/2593 +f 2609/2935/2594 2617/2944/2602 2624/2945/2603 2616/2936/2595 +f 2610/2937/2596 2618/2946/2604 2617/2947/2602 2609/2938/2594 +f 2611/2939/2597 2619/2948/2605 2618/2946/2604 2610/2937/2596 +f 2612/2940/2598 2620/2949/2606 2619/2948/2605 2611/2939/2597 +f 2613/2941/2599 2621/2950/2607 2620/2949/2606 2612/2940/2598 +f 2614/2942/2600 2622/2951/2608 2621/2950/2607 2613/2941/2599 +f 2615/2943/2601 2623/2952/2609 2622/2951/2608 2614/2942/2600 +f 2616/2936/2595 2624/2945/2603 2623/2952/2609 2615/2943/2601 +f 2617/2944/2602 2625/2953/2610 2632/2954/2611 2624/2945/2603 +f 2618/2946/2604 2626/2955/2612 2625/2956/2610 2617/2947/2602 +f 2619/2948/2605 2627/2957/2613 2626/2955/2612 2618/2946/2604 +f 2620/2949/2606 2628/2958/2614 2627/2957/2613 2619/2948/2605 +f 2621/2950/2607 2629/2959/2615 2628/2958/2614 2620/2949/2606 +f 2622/2951/2608 2630/2960/2616 2629/2959/2615 2621/2950/2607 +f 2623/2952/2609 2631/2961/2617 2630/2960/2616 2622/2951/2608 +f 2624/2945/2603 2632/2954/2611 2631/2961/2617 2623/2952/2609 +f 2625/2953/2610 2633/2962/2618 2640/2963/2619 2632/2954/2611 +f 2626/2955/2612 2634/2964/2620 2633/2965/2618 2625/2956/2610 +f 2627/2957/2613 2635/2966/2621 2634/2964/2620 2626/2955/2612 +f 2628/2958/2614 2636/2967/2622 2635/2966/2621 2627/2957/2613 +f 2629/2959/2615 2637/2968/2623 2636/2967/2622 2628/2958/2614 +f 2630/2960/2616 2638/2969/2624 2637/2968/2623 2629/2959/2615 +f 2631/2961/2617 2639/2970/2625 2638/2969/2624 2630/2960/2616 +f 2632/2954/2611 2640/2963/2619 2639/2970/2625 2631/2961/2617 +f 2641/2971/2626 2649/2972/2627 2656/2973/2628 2648/2974/2629 +f 2642/2975/2630 2650/2976/2631 2649/2977/2627 2641/2978/2626 +f 2643/2979/2632 2651/2980/2633 2650/2976/2631 2642/2975/2630 +f 2644/2981/2634 2652/2982/2635 2651/2980/2633 2643/2979/2632 +f 2645/2983/2636 2653/2984/2637 2652/2982/2635 2644/2981/2634 +f 2646/2985/2638 2654/2986/2639 2653/2984/2637 2645/2983/2636 +f 2647/2987/2640 2655/2988/2641 2654/2986/2639 2646/2985/2638 +f 2648/2974/2629 2656/2973/2628 2655/2988/2641 2647/2987/2640 +f 2649/2972/2627 2657/2989/2642 2664/2990/2643 2656/2973/2628 +f 2650/2976/2631 2658/2991/2644 2657/2992/2642 2649/2977/2627 +f 2651/2980/2633 2659/2993/2645 2658/2991/2644 2650/2976/2631 +f 2652/2982/2635 2660/2994/2646 2659/2993/2645 2651/2980/2633 +f 2653/2984/2637 2661/2995/2647 2660/2994/2646 2652/2982/2635 +f 2654/2986/2639 2662/2996/2648 2661/2995/2647 2653/2984/2637 +f 2655/2988/2641 2663/2997/2649 2662/2996/2648 2654/2986/2639 +f 2656/2973/2628 2664/2990/2643 2663/2997/2649 2655/2988/2641 +f 2657/2989/2642 2665/2998/2650 2672/2999/2651 2664/2990/2643 +f 2658/2991/2644 2666/3000/2652 2665/3001/2650 2657/2992/2642 +f 2659/2993/2645 2667/3002/2653 2666/3000/2652 2658/2991/2644 +f 2660/2994/2646 2668/3003/2654 2667/3002/2653 2659/2993/2645 +f 2661/2995/2647 2669/3004/2655 2668/3003/2654 2660/2994/2646 +f 2662/2996/2648 2670/3005/2656 2669/3004/2655 2661/2995/2647 +f 2663/2997/2649 2671/3006/2657 2670/3005/2656 2662/2996/2648 +f 2664/2990/2643 2672/2999/2651 2671/3006/2657 2663/2997/2649 +f 2665/2998/2650 2673/3007/2658 2680/3008/2659 2672/2999/2651 +f 2666/3000/2652 2674/3009/2660 2673/3010/2658 2665/3001/2650 +f 2667/3002/2653 2675/3011/2661 2674/3009/2660 2666/3000/2652 +f 2668/3003/2654 2676/3012/2662 2675/3011/2661 2667/3002/2653 +f 2669/3004/2655 2677/3013/2663 2676/3012/2662 2668/3003/2654 +f 2670/3005/2656 2678/3014/2664 2677/3013/2663 2669/3004/2655 +f 2671/3006/2657 2679/3015/2665 2678/3014/2664 2670/3005/2656 +f 2672/2999/2651 2680/3008/2659 2679/3015/2665 2671/3006/2657 +f 2673/3007/2658 2681/3016/2666 2688/3017/2667 2680/3008/2659 +f 2674/3009/2660 2682/3018/2668 2681/3019/2666 2673/3010/2658 +f 2675/3011/2661 2683/3020/2669 2682/3018/2668 2674/3009/2660 +f 2676/3012/2662 2684/3021/2670 2683/3020/2669 2675/3011/2661 +f 2677/3013/2663 2685/3022/2671 2684/3021/2670 2676/3012/2662 +f 2678/3014/2664 2686/3023/2672 2685/3022/2671 2677/3013/2663 +f 2679/3015/2665 2687/3024/2673 2686/3023/2672 2678/3014/2664 +f 2680/3008/2659 2688/3017/2667 2687/3024/2673 2679/3015/2665 +f 2681/3016/2666 2689/3025/2674 2696/3026/2675 2688/3017/2667 +f 2682/3018/2668 2690/3027/2676 2689/3028/2674 2681/3019/2666 +f 2683/3020/2669 2691/3029/2677 2690/3027/2676 2682/3018/2668 +f 2684/3021/2670 2692/3030/2678 2691/3029/2677 2683/3020/2669 +f 2685/3022/2671 2693/3031/2679 2692/3030/2678 2684/3021/2670 +f 2686/3023/2672 2694/3032/2680 2693/3031/2679 2685/3022/2671 +f 2687/3024/2673 2695/3033/2681 2694/3032/2680 2686/3023/2672 +f 2688/3017/2667 2696/3026/2675 2695/3033/2681 2687/3024/2673 +f 2689/3025/2674 2697/3034/2682 2704/3035/2683 2696/3026/2675 +f 2690/3027/2676 2698/3036/2684 2697/3037/2682 2689/3028/2674 +f 2691/3029/2677 2699/3038/2685 2698/3036/2684 2690/3027/2676 +f 2692/3030/2678 2700/3039/2686 2699/3038/2685 2691/3029/2677 +f 2693/3031/2679 2701/3040/2687 2700/3039/2686 2692/3030/2678 +f 2694/3032/2680 2702/3041/2688 2701/3040/2687 2693/3031/2679 +f 2695/3033/2681 2703/3042/2689 2702/3041/2688 2694/3032/2680 +f 2696/3026/2675 2704/3035/2683 2703/3042/2689 2695/3033/2681 +f 2697/3034/2682 2705/3043/2690 2712/3044/2691 2704/3035/2683 +f 2698/3036/2684 2706/3045/2692 2705/3046/2690 2697/3037/2682 +f 2699/3038/2685 2707/3047/2693 2706/3045/2692 2698/3036/2684 +f 2700/3039/2686 2708/3048/2694 2707/3047/2693 2699/3038/2685 +f 2701/3040/2687 2709/3049/2695 2708/3048/2694 2700/3039/2686 +f 2702/3041/2688 2710/3050/2696 2709/3049/2695 2701/3040/2687 +f 2703/3042/2689 2711/3051/2697 2710/3050/2696 2702/3041/2688 +f 2704/3035/2683 2712/3044/2691 2711/3051/2697 2703/3042/2689 +f 2705/3043/2690 2713/3052/2698 2720/3053/2699 2712/3044/2691 +f 2706/3045/2692 2714/3054/2700 2713/3055/2698 2705/3046/2690 +f 2707/3047/2693 2715/3056/2701 2714/3054/2700 2706/3045/2692 +f 2708/3048/2694 2716/3057/2702 2715/3056/2701 2707/3047/2693 +f 2709/3049/2695 2717/3058/2703 2716/3057/2702 2708/3048/2694 +f 2710/3050/2696 2718/3059/2704 2717/3058/2703 2709/3049/2695 +f 2711/3051/2697 2719/3060/2705 2718/3059/2704 2710/3050/2696 +f 2712/3044/2691 2720/3053/2699 2719/3060/2705 2711/3051/2697 +f 2721/3061/2706 2729/3062/2707 2736/3063/2708 2728/3064/2709 +f 2722/3065/2710 2730/3066/2711 2729/3067/2707 2721/3068/2706 +f 2723/3069/2712 2731/3070/2713 2730/3066/2711 2722/3065/2710 +f 2724/3071/2714 2732/3072/2715 2731/3070/2713 2723/3069/2712 +f 2725/3073/2716 2733/3074/2717 2732/3072/2715 2724/3071/2714 +f 2726/3075/2718 2734/3076/2719 2733/3074/2717 2725/3073/2716 +f 2727/3077/2720 2735/3078/2721 2734/3076/2719 2726/3075/2718 +f 2728/3064/2709 2736/3063/2708 2735/3078/2721 2727/3077/2720 +f 2729/3062/2707 2737/3079/2722 2744/3080/2723 2736/3063/2708 +f 2730/3066/2711 2738/3081/2724 2737/3082/2722 2729/3067/2707 +f 2731/3070/2713 2739/3083/2725 2738/3081/2724 2730/3066/2711 +f 2732/3072/2715 2740/3084/2726 2739/3083/2725 2731/3070/2713 +f 2733/3074/2717 2741/3085/2727 2740/3084/2726 2732/3072/2715 +f 2734/3076/2719 2742/3086/2728 2741/3085/2727 2733/3074/2717 +f 2735/3078/2721 2743/3087/2729 2742/3086/2728 2734/3076/2719 +f 2736/3063/2708 2744/3080/2723 2743/3087/2729 2735/3078/2721 +f 2737/3079/2722 2745/3088/2730 2752/3089/2731 2744/3080/2723 +f 2738/3081/2724 2746/3090/2732 2745/3091/2730 2737/3082/2722 +f 2739/3083/2725 2747/3092/2733 2746/3090/2732 2738/3081/2724 +f 2740/3084/2726 2748/3093/2734 2747/3092/2733 2739/3083/2725 +f 2741/3085/2727 2749/3094/2735 2748/3093/2734 2740/3084/2726 +f 2742/3086/2728 2750/3095/2736 2749/3094/2735 2741/3085/2727 +f 2743/3087/2729 2751/3096/2737 2750/3095/2736 2742/3086/2728 +f 2744/3080/2723 2752/3089/2731 2751/3096/2737 2743/3087/2729 +f 2745/3088/2730 2753/3097/2738 2760/3098/2739 2752/3089/2731 +f 2746/3090/2732 2754/3099/2740 2753/3100/2738 2745/3091/2730 +f 2747/3092/2733 2755/3101/2741 2754/3099/2740 2746/3090/2732 +f 2748/3093/2734 2756/3102/2742 2755/3101/2741 2747/3092/2733 +f 2749/3094/2735 2757/3103/2743 2756/3102/2742 2748/3093/2734 +f 2750/3095/2736 2758/3104/2744 2757/3103/2743 2749/3094/2735 +f 2751/3096/2737 2759/3105/2745 2758/3104/2744 2750/3095/2736 +f 2752/3089/2731 2760/3098/2739 2759/3105/2745 2751/3096/2737 +f 2753/3097/2738 2761/3106/2746 2768/3107/2747 2760/3098/2739 +f 2754/3099/2740 2762/3108/2748 2761/3109/2746 2753/3100/2738 +f 2755/3101/2741 2763/3110/2749 2762/3108/2748 2754/3099/2740 +f 2756/3102/2742 2764/3111/2750 2763/3110/2749 2755/3101/2741 +f 2757/3103/2743 2765/3112/2751 2764/3111/2750 2756/3102/2742 +f 2758/3104/2744 2766/3113/2752 2765/3112/2751 2757/3103/2743 +f 2759/3105/2745 2767/3114/2753 2766/3113/2752 2758/3104/2744 +f 2760/3098/2739 2768/3107/2747 2767/3114/2753 2759/3105/2745 +f 2761/3106/2746 2769/3115/2754 2776/3116/2755 2768/3107/2747 +f 2762/3108/2748 2770/3117/2756 2769/3118/2754 2761/3109/2746 +f 2763/3110/2749 2771/3119/2757 2770/3117/2756 2762/3108/2748 +f 2764/3111/2750 2772/3120/2758 2771/3119/2757 2763/3110/2749 +f 2765/3112/2751 2773/3121/2759 2772/3120/2758 2764/3111/2750 +f 2766/3113/2752 2774/3122/2760 2773/3121/2759 2765/3112/2751 +f 2767/3114/2753 2775/3123/2761 2774/3122/2760 2766/3113/2752 +f 2768/3107/2747 2776/3116/2755 2775/3123/2761 2767/3114/2753 +f 2777/3124/2762 2785/3125/2762 2792/3126/2763 2784/3127/2763 +f 2778/3128/2764 2786/3129/2764 2785/3130/2762 2777/3131/2762 +f 2779/3132/2765 2787/3133/2765 2786/3129/2764 2778/3128/2764 +f 2780/3134/2766 2788/3135/2766 2787/3133/2765 2779/3132/2765 +f 2781/3136/2767 2789/3137/2767 2788/3135/2766 2780/3134/2766 +f 2782/3138/2768 2790/3139/2768 2789/3137/2767 2781/3136/2767 +f 2783/3140/2769 2791/3141/2769 2790/3139/2768 2782/3138/2768 +f 2784/3127/2763 2792/3126/2763 2791/3141/2769 2783/3140/2769 +f 2785/3125/2762 2793/3142/2762 2800/3143/2770 2792/3126/2763 +f 2786/3129/2764 2794/3144/2771 2793/3145/2762 2785/3130/2762 +f 2787/3133/2765 2795/3146/2765 2794/3144/2771 2786/3129/2764 +f 2788/3135/2766 2796/3147/2772 2795/3146/2765 2787/3133/2765 +f 2789/3137/2767 2797/3148/2773 2796/3147/2772 2788/3135/2766 +f 2790/3139/2768 2798/3149/2768 2797/3148/2773 2789/3137/2767 +f 2791/3141/2769 2799/3150/2774 2798/3149/2768 2790/3139/2768 +f 2792/3126/2763 2800/3143/2770 2799/3150/2774 2791/3141/2769 +f 2793/3142/2762 2801/3151/2775 2808/3152/2776 2800/3143/2770 +f 2794/3144/2771 2802/3153/2771 2801/3154/2775 2793/3145/2762 +f 2795/3146/2765 2803/3155/2777 2802/3153/2771 2794/3144/2771 +f 2796/3147/2772 2804/3156/2778 2803/3155/2777 2795/3146/2765 +f 2797/3148/2773 2805/3157/2779 2804/3156/2778 2796/3147/2772 +f 2798/3149/2768 2806/3158/2780 2805/3157/2779 2797/3148/2773 +f 2799/3150/2774 2807/3159/2781 2806/3158/2780 2798/3149/2768 +f 2800/3143/2770 2808/3152/2776 2807/3159/2781 2799/3150/2774 +f 2809/3160/2782 2817/3161/2783 2824/3162/2784 2816/3163/2785 +f 2810/3164/2786 2818/3165/2787 2817/3166/2783 2809/3167/2782 +f 2811/3168/2788 2819/3169/2789 2818/3165/2787 2810/3164/2786 +f 2812/3170/2790 2820/3171/2791 2819/3169/2789 2811/3168/2788 +f 2813/3172/2792 2821/3173/2793 2820/3171/2791 2812/3170/2790 +f 2814/3174/2794 2822/3175/2795 2821/3173/2793 2813/3172/2792 +f 2815/3176/2796 2823/3177/2797 2822/3175/2795 2814/3174/2794 +f 2816/3163/2785 2824/3162/2784 2823/3177/2797 2815/3176/2796 +f 2817/3161/2783 2825/3178/2798 2832/3179/2799 2824/3162/2784 +f 2818/3165/2787 2826/3180/2800 2825/3181/2798 2817/3166/2783 +f 2819/3169/2789 2827/3182/2801 2826/3180/2800 2818/3165/2787 +f 2820/3171/2791 2828/3183/2802 2827/3182/2801 2819/3169/2789 +f 2821/3173/2793 2829/3184/2803 2828/3183/2802 2820/3171/2791 +f 2822/3175/2795 2830/3185/2804 2829/3184/2803 2821/3173/2793 +f 2823/3177/2797 2831/3186/2805 2830/3185/2804 2822/3175/2795 +f 2824/3162/2784 2832/3179/2799 2831/3186/2805 2823/3177/2797 +f 2825/3178/2798 2833/3187/2806 2840/3188/2807 2832/3179/2799 +f 2826/3180/2800 2834/3189/2808 2833/3190/2806 2825/3181/2798 +f 2827/3182/2801 2835/3191/2809 2834/3189/2808 2826/3180/2800 +f 2828/3183/2802 2836/3192/2810 2835/3191/2809 2827/3182/2801 +f 2829/3184/2803 2837/3193/2811 2836/3192/2810 2828/3183/2802 +f 2830/3185/2804 2838/3194/2812 2837/3193/2811 2829/3184/2803 +f 2831/3186/2805 2839/3195/2813 2838/3194/2812 2830/3185/2804 +f 2832/3179/2799 2840/3188/2807 2839/3195/2813 2831/3186/2805 +f 2833/3187/2806 2841/3196/2814 2848/3197/2815 2840/3188/2807 +f 2834/3189/2808 2842/3198/2816 2841/3199/2814 2833/3190/2806 +f 2835/3191/2809 2843/3200/2817 2842/3198/2816 2834/3189/2808 +f 2836/3192/2810 2844/3201/2818 2843/3200/2817 2835/3191/2809 +f 2837/3193/2811 2845/3202/2819 2844/3201/2818 2836/3192/2810 +f 2838/3194/2812 2846/3203/2820 2845/3202/2819 2837/3193/2811 +f 2839/3195/2813 2847/3204/2821 2846/3203/2820 2838/3194/2812 +f 2840/3188/2807 2848/3197/2815 2847/3204/2821 2839/3195/2813 +f 2841/3196/2814 2849/3205/2822 2856/3206/2823 2848/3197/2815 +f 2842/3198/2816 2850/3207/2824 2849/3208/2822 2841/3199/2814 +f 2843/3200/2817 2851/3209/2825 2850/3207/2824 2842/3198/2816 +f 2844/3201/2818 2852/3210/2826 2851/3209/2825 2843/3200/2817 +f 2845/3202/2819 2853/3211/2827 2852/3210/2826 2844/3201/2818 +f 2846/3203/2820 2854/3212/2828 2853/3211/2827 2845/3202/2819 +f 2847/3204/2821 2855/3213/2829 2854/3212/2828 2846/3203/2820 +f 2848/3197/2815 2856/3206/2823 2855/3213/2829 2847/3204/2821 +f 2849/3205/2822 2857/3214/2830 2864/3215/2831 2856/3206/2823 +f 2850/3207/2824 2858/3216/2832 2857/3217/2830 2849/3208/2822 +f 2851/3209/2825 2859/3218/2833 2858/3216/2832 2850/3207/2824 +f 2852/3210/2826 2860/3219/2834 2859/3218/2833 2851/3209/2825 +f 2853/3211/2827 2861/3220/2835 2860/3219/2834 2852/3210/2826 +f 2854/3212/2828 2862/3221/2836 2861/3220/2835 2853/3211/2827 +f 2855/3213/2829 2863/3222/2837 2862/3221/2836 2854/3212/2828 +f 2856/3206/2823 2864/3215/2831 2863/3222/2837 2855/3213/2829 +f 2857/3214/2830 2865/3223/2838 2872/3224/2839 2864/3215/2831 +f 2858/3216/2832 2866/3225/2840 2865/3226/2838 2857/3217/2830 +f 2859/3218/2833 2867/3227/2841 2866/3225/2840 2858/3216/2832 +f 2860/3219/2834 2868/3228/2842 2867/3227/2841 2859/3218/2833 +f 2861/3220/2835 2869/3229/2843 2868/3228/2842 2860/3219/2834 +f 2862/3221/2836 2870/3230/2844 2869/3229/2843 2861/3220/2835 +f 2863/3222/2837 2871/3231/2845 2870/3230/2844 2862/3221/2836 +f 2864/3215/2831 2872/3224/2839 2871/3231/2845 2863/3222/2837 +f 2865/3223/2838 2873/3232/2846 2880/3233/2847 2872/3224/2839 +f 2866/3225/2840 2874/3234/2848 2873/3235/2846 2865/3226/2838 +f 2867/3227/2841 2875/3236/2849 2874/3234/2848 2866/3225/2840 +f 2868/3228/2842 2876/3237/2850 2875/3236/2849 2867/3227/2841 +f 2869/3229/2843 2877/3238/2851 2876/3237/2850 2868/3228/2842 +f 2870/3230/2844 2878/3239/2852 2877/3238/2851 2869/3229/2843 +f 2871/3231/2845 2879/3240/2853 2878/3239/2852 2870/3230/2844 +f 2872/3224/2839 2880/3233/2847 2879/3240/2853 2871/3231/2845 +f 2873/3232/2846 2881/3241/2854 2888/3242/2855 2880/3233/2847 +f 2874/3234/2848 2882/3243/2856 2881/3244/2854 2873/3235/2846 +f 2875/3236/2849 2883/3245/2857 2882/3243/2856 2874/3234/2848 +f 2876/3237/2850 2884/3246/2858 2883/3245/2857 2875/3236/2849 +f 2877/3238/2851 2885/3247/2859 2884/3246/2858 2876/3237/2850 +f 2878/3239/2852 2886/3248/2860 2885/3247/2859 2877/3238/2851 +f 2879/3240/2853 2887/3249/2861 2886/3248/2860 2878/3239/2852 +f 2880/3233/2847 2888/3242/2855 2887/3249/2861 2879/3240/2853 +f 2889/3250/2862 2897/3251/2863 2904/3252/2864 2896/3253/2865 +f 2890/3254/2866 2898/3255/2867 2897/3256/2863 2889/3257/2862 +f 2891/3258/2868 2899/3259/2869 2898/3255/2867 2890/3254/2866 +f 2892/3260/2870 2900/3261/2871 2899/3259/2869 2891/3258/2868 +f 2893/3262/2872 2901/3263/2873 2900/3261/2871 2892/3260/2870 +f 2894/3264/2874 2902/3265/2875 2901/3263/2873 2893/3262/2872 +f 2895/3266/2876 2903/3267/2877 2902/3265/2875 2894/3264/2874 +f 2896/3253/2865 2904/3252/2864 2903/3267/2877 2895/3266/2876 +f 2897/3251/2863 2905/3268/2878 2912/3269/2879 2904/3252/2864 +f 2898/3255/2867 2906/3270/2880 2905/3271/2878 2897/3256/2863 +f 2899/3259/2869 2907/3272/2881 2906/3270/2880 2898/3255/2867 +f 2900/3261/2871 2908/3273/2882 2907/3272/2881 2899/3259/2869 +f 2901/3263/2873 2909/3274/2883 2908/3273/2882 2900/3261/2871 +f 2902/3265/2875 2910/3275/2884 2909/3274/2883 2901/3263/2873 +f 2903/3267/2877 2911/3276/2885 2910/3275/2884 2902/3265/2875 +f 2904/3252/2864 2912/3269/2879 2911/3276/2885 2903/3267/2877 +f 2905/3268/2878 2913/3277/2886 2920/3278/2887 2912/3269/2879 +f 2906/3270/2880 2914/3279/2888 2913/3280/2886 2905/3271/2878 +f 2907/3272/2881 2915/3281/2889 2914/3279/2888 2906/3270/2880 +f 2908/3273/2882 2916/3282/2890 2915/3281/2889 2907/3272/2881 +f 2909/3274/2883 2917/3283/2891 2916/3282/2890 2908/3273/2882 +f 2910/3275/2884 2918/3284/2892 2917/3283/2891 2909/3274/2883 +f 2911/3276/2885 2919/3285/2893 2918/3284/2892 2910/3275/2884 +f 2912/3269/2879 2920/3278/2887 2919/3285/2893 2911/3276/2885 +f 2913/3277/2886 2921/3286/2894 2928/3287/2895 2920/3278/2887 +f 2914/3279/2888 2922/3288/2896 2921/3289/2894 2913/3280/2886 +f 2915/3281/2889 2923/3290/2897 2922/3288/2896 2914/3279/2888 +f 2916/3282/2890 2924/3291/2898 2923/3290/2897 2915/3281/2889 +f 2917/3283/2891 2925/3292/2899 2924/3291/2898 2916/3282/2890 +f 2918/3284/2892 2926/3293/2900 2925/3292/2899 2917/3283/2891 +f 2919/3285/2893 2927/3294/2901 2926/3293/2900 2918/3284/2892 +f 2920/3278/2887 2928/3287/2895 2927/3294/2901 2919/3285/2893 +f 2921/3286/2894 2929/3295/2902 2936/3296/2903 2928/3287/2895 +f 2922/3288/2896 2930/3297/2904 2929/3298/2902 2921/3289/2894 +f 2923/3290/2897 2931/3299/2905 2930/3297/2904 2922/3288/2896 +f 2924/3291/2898 2932/3300/2906 2931/3299/2905 2923/3290/2897 +f 2925/3292/2899 2933/3301/2907 2932/3300/2906 2924/3291/2898 +f 2926/3293/2900 2934/3302/2908 2933/3301/2907 2925/3292/2899 +f 2927/3294/2901 2935/3303/2909 2934/3302/2908 2926/3293/2900 +f 2928/3287/2895 2936/3296/2903 2935/3303/2909 2927/3294/2901 +f 2929/3295/2902 2937/3304/2910 2944/3305/2911 2936/3296/2903 +f 2930/3297/2904 2938/3306/2912 2937/3307/2910 2929/3298/2902 +f 2931/3299/2905 2939/3308/2913 2938/3306/2912 2930/3297/2904 +f 2932/3300/2906 2940/3309/2914 2939/3308/2913 2931/3299/2905 +f 2933/3301/2907 2941/3310/2915 2940/3309/2914 2932/3300/2906 +f 2934/3302/2908 2942/3311/2916 2941/3310/2915 2933/3301/2907 +f 2935/3303/2909 2943/3312/2917 2942/3311/2916 2934/3302/2908 +f 2936/3296/2903 2944/3305/2911 2943/3312/2917 2935/3303/2909 +f 2945/3313/2918 2953/3314/2919 2960/3315/2920 2952/3316/2921 +f 2946/3317/2922 2954/3318/2923 2953/3319/2919 2945/3320/2918 +f 2947/3321/2924 2955/3322/2925 2954/3318/2923 2946/3317/2922 +f 2948/3323/2926 2956/3324/2927 2955/3322/2925 2947/3321/2924 +f 2949/3325/2928 2957/3326/2929 2956/3324/2927 2948/3323/2926 +f 2950/3327/2930 2958/3328/2931 2957/3326/2929 2949/3325/2928 +f 2951/3329/2932 2959/3330/2933 2958/3328/2931 2950/3327/2930 +f 2952/3316/2921 2960/3315/2920 2959/3330/2933 2951/3329/2932 +f 2953/3314/2919 2961/3331/2934 2968/3332/2935 2960/3315/2920 +f 2954/3318/2923 2962/3333/2936 2961/3334/2934 2953/3319/2919 +f 2955/3322/2925 2963/3335/2937 2962/3333/2936 2954/3318/2923 +f 2956/3324/2927 2964/3336/2938 2963/3335/2937 2955/3322/2925 +f 2957/3326/2929 2965/3337/2939 2964/3336/2938 2956/3324/2927 +f 2958/3328/2931 2966/3338/2940 2965/3337/2939 2957/3326/2929 +f 2959/3330/2933 2967/3339/2941 2966/3338/2940 2958/3328/2931 +f 2960/3315/2920 2968/3332/2935 2967/3339/2941 2959/3330/2933 +f 2961/3331/2934 2969/3340/2942 2976/3341/2943 2968/3332/2935 +f 2962/3333/2936 2970/3342/2944 2969/3343/2942 2961/3334/2934 +f 2963/3335/2937 2971/3344/2945 2970/3342/2944 2962/3333/2936 +f 2964/3336/2938 2972/3345/2946 2971/3344/2945 2963/3335/2937 +f 2965/3337/2939 2973/3346/2947 2972/3345/2946 2964/3336/2938 +f 2966/3338/2940 2974/3347/2948 2973/3346/2947 2965/3337/2939 +f 2967/3339/2941 2975/3348/2949 2974/3347/2948 2966/3338/2940 +f 2968/3332/2935 2976/3341/2943 2975/3348/2949 2967/3339/2941 +f 2969/3340/2942 2977/3349/2950 2984/3350/2951 2976/3341/2943 +f 2970/3342/2944 2978/3351/2952 2977/3352/2950 2969/3343/2942 +f 2971/3344/2945 2979/3353/2953 2978/3351/2952 2970/3342/2944 +f 2972/3345/2946 2980/3354/2954 2979/3353/2953 2971/3344/2945 +f 2973/3346/2947 2981/3355/2955 2980/3354/2954 2972/3345/2946 +f 2974/3347/2948 2982/3356/2956 2981/3355/2955 2973/3346/2947 +f 2975/3348/2949 2983/3357/2957 2982/3356/2956 2974/3347/2948 +f 2976/3341/2943 2984/3350/2951 2983/3357/2957 2975/3348/2949 +f 2977/3349/2950 2985/3358/2958 2992/3359/2959 2984/3350/2951 +f 2978/3351/2952 2986/3360/2960 2985/3361/2958 2977/3352/2950 +f 2979/3353/2953 2987/3362/2961 2986/3360/2960 2978/3351/2952 +f 2980/3354/2954 2988/3363/2962 2987/3362/2961 2979/3353/2953 +f 2981/3355/2955 2989/3364/2963 2988/3363/2962 2980/3354/2954 +f 2982/3356/2956 2990/3365/2964 2989/3364/2963 2981/3355/2955 +f 2983/3357/2957 2991/3366/2965 2990/3365/2964 2982/3356/2956 +f 2984/3350/2951 2992/3359/2959 2991/3366/2965 2983/3357/2957 +f 2985/3358/2958 2993/3367/2966 3000/3368/2967 2992/3359/2959 +f 2986/3360/2960 2994/3369/2968 2993/3370/2966 2985/3361/2958 +f 2987/3362/2961 2995/3371/2969 2994/3369/2968 2986/3360/2960 +f 2988/3363/2962 2996/3372/2970 2995/3371/2969 2987/3362/2961 +f 2989/3364/2963 2997/3373/2971 2996/3372/2970 2988/3363/2962 +f 2990/3365/2964 2998/3374/2972 2997/3373/2971 2989/3364/2963 +f 2991/3366/2965 2999/3375/2973 2998/3374/2972 2990/3365/2964 +f 2992/3359/2959 3000/3368/2967 2999/3375/2973 2991/3366/2965 +f 3001/3376/2974 3009/3377/2975 3016/3378/2976 3008/3379/2977 +f 3002/3380/2978 3010/3381/2979 3009/3382/2975 3001/3383/2974 +f 3003/3384/2980 3011/3385/2981 3010/3381/2979 3002/3380/2978 +f 3004/3386/2982 3012/3387/2983 3011/3385/2981 3003/3384/2980 +f 3005/3388/2984 3013/3389/2985 3012/3387/2983 3004/3386/2982 +f 3006/3390/2986 3014/3391/2987 3013/3389/2985 3005/3388/2984 +f 3007/3392/2988 3015/3393/2989 3014/3391/2987 3006/3390/2986 +f 3008/3379/2977 3016/3378/2976 3015/3393/2989 3007/3392/2988 +f 3009/3377/2975 3017/3394/2990 3024/3395/2991 3016/3378/2976 +f 3010/3381/2979 3018/3396/2992 3017/3397/2990 3009/3382/2975 +f 3011/3385/2981 3019/3398/2993 3018/3396/2992 3010/3381/2979 +f 3012/3387/2983 3020/3399/2994 3019/3398/2993 3011/3385/2981 +f 3013/3389/2985 3021/3400/2995 3020/3399/2994 3012/3387/2983 +f 3014/3391/2987 3022/3401/2996 3021/3400/2995 3013/3389/2985 +f 3015/3393/2989 3023/3402/2997 3022/3401/2996 3014/3391/2987 +f 3016/3378/2976 3024/3395/2991 3023/3402/2997 3015/3393/2989 +f 3017/3394/2990 3025/3403/2998 3032/3404/2999 3024/3395/2991 +f 3018/3396/2992 3026/3405/3000 3025/3406/2998 3017/3397/2990 +f 3019/3398/2993 3027/3407/3001 3026/3405/3000 3018/3396/2992 +f 3020/3399/2994 3028/3408/3002 3027/3407/3001 3019/3398/2993 +f 3021/3400/2995 3029/3409/3003 3028/3408/3002 3020/3399/2994 +f 3022/3401/2996 3030/3410/3004 3029/3409/3003 3021/3400/2995 +f 3023/3402/2997 3031/3411/3005 3030/3410/3004 3022/3401/2996 +f 3024/3395/2991 3032/3404/2999 3031/3411/3005 3023/3402/2997 +f 3025/3403/2998 3033/3412/3006 3040/3413/3007 3032/3404/2999 +f 3026/3405/3000 3034/3414/3008 3033/3415/3006 3025/3406/2998 +f 3027/3407/3001 3035/3416/3009 3034/3414/3008 3026/3405/3000 +f 3028/3408/3002 3036/3417/3010 3035/3416/3009 3027/3407/3001 +f 3029/3409/3003 3037/3418/3011 3036/3417/3010 3028/3408/3002 +f 3030/3410/3004 3038/3419/3012 3037/3418/3011 3029/3409/3003 +f 3031/3411/3005 3039/3420/3013 3038/3419/3012 3030/3410/3004 +f 3032/3404/2999 3040/3413/3007 3039/3420/3013 3031/3411/3005 +f 3033/3412/3006 3041/3421/3014 3048/3422/3015 3040/3413/3007 +f 3034/3414/3008 3042/3423/3016 3041/3424/3014 3033/3415/3006 +f 3035/3416/3009 3043/3425/3017 3042/3423/3016 3034/3414/3008 +f 3036/3417/3010 3044/3426/3018 3043/3425/3017 3035/3416/3009 +f 3037/3418/3011 3045/3427/3019 3044/3426/3018 3036/3417/3010 +f 3038/3419/3012 3046/3428/3020 3045/3427/3019 3037/3418/3011 +f 3039/3420/3013 3047/3429/3021 3046/3428/3020 3038/3419/3012 +f 3040/3413/3007 3048/3422/3015 3047/3429/3021 3039/3420/3013 +f 3041/3421/3014 3049/3430/3022 3056/3431/3023 3048/3422/3015 +f 3042/3423/3016 3050/3432/3024 3049/3433/3022 3041/3424/3014 +f 3043/3425/3017 3051/3434/3025 3050/3432/3024 3042/3423/3016 +f 3044/3426/3018 3052/3435/3026 3051/3434/3025 3043/3425/3017 +f 3045/3427/3019 3053/3436/3027 3052/3435/3026 3044/3426/3018 +f 3046/3428/3020 3054/3437/3028 3053/3436/3027 3045/3427/3019 +f 3047/3429/3021 3055/3438/3029 3054/3437/3028 3046/3428/3020 +f 3048/3422/3015 3056/3431/3023 3055/3438/3029 3047/3429/3021 +f 3049/3430/3022 3057/3439/3030 3064/3440/3031 3056/3431/3023 +f 3050/3432/3024 3058/3441/3032 3057/3442/3030 3049/3433/3022 +f 3051/3434/3025 3059/3443/3033 3058/3441/3032 3050/3432/3024 +f 3052/3435/3026 3060/3444/3034 3059/3443/3033 3051/3434/3025 +f 3053/3436/3027 3061/3445/3035 3060/3444/3034 3052/3435/3026 +f 3054/3437/3028 3062/3446/3036 3061/3445/3035 3053/3436/3027 +f 3055/3438/3029 3063/3447/3037 3062/3446/3036 3054/3437/3028 +f 3056/3431/3023 3064/3440/3031 3063/3447/3037 3055/3438/3029 +f 3057/3439/3030 3065/3448/3038 3072/3449/3039 3064/3440/3031 +f 3058/3441/3032 3066/3450/3040 3065/3451/3038 3057/3442/3030 +f 3059/3443/3033 3067/3452/3041 3066/3450/3040 3058/3441/3032 +f 3060/3444/3034 3068/3453/3042 3067/3452/3041 3059/3443/3033 +f 3061/3445/3035 3069/3454/3043 3068/3453/3042 3060/3444/3034 +f 3062/3446/3036 3070/3455/3044 3069/3454/3043 3061/3445/3035 +f 3063/3447/3037 3071/3456/3045 3070/3455/3044 3062/3446/3036 +f 3064/3440/3031 3072/3449/3039 3071/3456/3045 3063/3447/3037 +f 3065/3448/3038 3073/3457/3046 3080/3458/3047 3072/3449/3039 +f 3066/3450/3040 3074/3459/3048 3073/3460/3046 3065/3451/3038 +f 3067/3452/3041 3075/3461/3049 3074/3459/3048 3066/3450/3040 +f 3068/3453/3042 3076/3462/3050 3075/3461/3049 3067/3452/3041 +f 3069/3454/3043 3077/3463/3051 3076/3462/3050 3068/3453/3042 +f 3070/3455/3044 3078/3464/3052 3077/3463/3051 3069/3454/3043 +f 3071/3456/3045 3079/3465/3053 3078/3464/3052 3070/3455/3044 +f 3072/3449/3039 3080/3458/3047 3079/3465/3053 3071/3456/3045 +f 3081/3466/3054 3089/3467/3055 3096/3468/3056 3088/3469/3057 +f 3082/3470/3058 3090/3471/3059 3089/3472/3055 3081/3473/3054 +f 3083/3474/3060 3091/3475/3061 3090/3471/3059 3082/3470/3058 +f 3084/3476/3062 3092/3477/3063 3091/3475/3061 3083/3474/3060 +f 3085/3478/3064 3093/3479/3065 3092/3477/3063 3084/3476/3062 +f 3086/3480/3066 3094/3481/3067 3093/3479/3065 3085/3478/3064 +f 3087/3482/3068 3095/3483/3069 3094/3481/3067 3086/3480/3066 +f 3088/3469/3057 3096/3468/3056 3095/3483/3069 3087/3482/3068 +f 3089/3467/3055 3097/3484/3070 3104/3485/3071 3096/3468/3056 +f 3090/3471/3059 3098/3486/3072 3097/3487/3070 3089/3472/3055 +f 3091/3475/3061 3099/3488/3073 3098/3486/3072 3090/3471/3059 +f 3092/3477/3063 3100/3489/3074 3099/3488/3073 3091/3475/3061 +f 3093/3479/3065 3101/3490/3075 3100/3489/3074 3092/3477/3063 +f 3094/3481/3067 3102/3491/3076 3101/3490/3075 3093/3479/3065 +f 3095/3483/3069 3103/3492/3077 3102/3491/3076 3094/3481/3067 +f 3096/3468/3056 3104/3485/3071 3103/3492/3077 3095/3483/3069 +f 3097/3484/3070 3105/3493/3078 3112/3494/3079 3104/3485/3071 +f 3098/3486/3072 3106/3495/3080 3105/3496/3078 3097/3487/3070 +f 3099/3488/3073 3107/3497/3081 3106/3495/3080 3098/3486/3072 +f 3100/3489/3074 3108/3498/3082 3107/3497/3081 3099/3488/3073 +f 3101/3490/3075 3109/3499/3083 3108/3498/3082 3100/3489/3074 +f 3102/3491/3076 3110/3500/3084 3109/3499/3083 3101/3490/3075 +f 3103/3492/3077 3111/3501/3085 3110/3500/3084 3102/3491/3076 +f 3104/3485/3071 3112/3494/3079 3111/3501/3085 3103/3492/3077 +f 3105/3493/3078 3113/3502/3086 3120/3503/3087 3112/3494/3079 +f 3106/3495/3080 3114/3504/3088 3113/3505/3086 3105/3496/3078 +f 3107/3497/3081 3115/3506/3089 3114/3504/3088 3106/3495/3080 +f 3108/3498/3082 3116/3507/3090 3115/3506/3089 3107/3497/3081 +f 3109/3499/3083 3117/3508/3091 3116/3507/3090 3108/3498/3082 +f 3110/3500/3084 3118/3509/3092 3117/3508/3091 3109/3499/3083 +f 3111/3501/3085 3119/3510/3093 3118/3509/3092 3110/3500/3084 +f 3112/3494/3079 3120/3503/3087 3119/3510/3093 3111/3501/3085 +f 3113/3502/3086 3121/3511/3094 3128/3512/3095 3120/3503/3087 +f 3114/3504/3088 3122/3513/3096 3121/3514/3094 3113/3505/3086 +f 3115/3506/3089 3123/3515/3097 3122/3513/3096 3114/3504/3088 +f 3116/3507/3090 3124/3516/3098 3123/3515/3097 3115/3506/3089 +f 3117/3508/3091 3125/3517/3099 3124/3516/3098 3116/3507/3090 +f 3118/3509/3092 3126/3518/3100 3125/3517/3099 3117/3508/3091 +f 3119/3510/3093 3127/3519/3101 3126/3518/3100 3118/3509/3092 +f 3120/3503/3087 3128/3512/3095 3127/3519/3101 3119/3510/3093 +f 3121/3511/3094 3129/3520/3102 3136/3521/3103 3128/3512/3095 +f 3122/3513/3096 3130/3522/3104 3129/3523/3102 3121/3514/3094 +f 3123/3515/3097 3131/3524/3105 3130/3522/3104 3122/3513/3096 +f 3124/3516/3098 3132/3525/3106 3131/3524/3105 3123/3515/3097 +f 3125/3517/3099 3133/3526/3107 3132/3525/3106 3124/3516/3098 +f 3126/3518/3100 3134/3527/3108 3133/3526/3107 3125/3517/3099 +f 3127/3519/3101 3135/3528/3109 3134/3527/3108 3126/3518/3100 +f 3128/3512/3095 3136/3521/3103 3135/3528/3109 3127/3519/3101 +f 3137/3529/3110 3145/3530/3111 3152/3531/3112 3144/3532/3113 +f 3138/3533/3114 3146/3534/3115 3145/3535/3111 3137/3536/3110 +f 3139/3537/3116 3147/3538/3117 3146/3534/3115 3138/3533/3114 +f 3140/3539/3118 3148/3540/3119 3147/3538/3117 3139/3537/3116 +f 3141/3541/3120 3149/3542/3121 3148/3540/3119 3140/3539/3118 +f 3142/3543/3122 3150/3544/3123 3149/3542/3121 3141/3541/3120 +f 3143/3545/3124 3151/3546/3125 3150/3544/3123 3142/3543/3122 +f 3144/3532/3113 3152/3531/3112 3151/3546/3125 3143/3545/3124 +f 3145/3530/3111 3153/3547/3126 3160/3548/3127 3152/3531/3112 +f 3146/3534/3115 3154/3549/3128 3153/3550/3126 3145/3535/3111 +f 3147/3538/3117 3155/3551/3129 3154/3549/3128 3146/3534/3115 +f 3148/3540/3119 3156/3552/3130 3155/3551/3129 3147/3538/3117 +f 3149/3542/3121 3157/3553/3131 3156/3552/3130 3148/3540/3119 +f 3150/3544/3123 3158/3554/3132 3157/3553/3131 3149/3542/3121 +f 3151/3546/3125 3159/3555/3133 3158/3554/3132 3150/3544/3123 +f 3152/3531/3112 3160/3548/3127 3159/3555/3133 3151/3546/3125 +f 3153/3547/3126 3161/3556/3134 3168/3557/3135 3160/3548/3127 +f 3154/3549/3128 3162/3558/3136 3161/3559/3134 3153/3550/3126 +f 3155/3551/3129 3163/3560/3137 3162/3558/3136 3154/3549/3128 +f 3156/3552/3130 3164/3561/3138 3163/3560/3137 3155/3551/3129 +f 3157/3553/3131 3165/3562/3139 3164/3561/3138 3156/3552/3130 +f 3158/3554/3132 3166/3563/3140 3165/3562/3139 3157/3553/3131 +f 3159/3555/3133 3167/3564/3141 3166/3563/3140 3158/3554/3132 +f 3160/3548/3127 3168/3557/3135 3167/3564/3141 3159/3555/3133 +f 3161/3556/3134 3169/3565/3142 3176/3566/3143 3168/3557/3135 +f 3162/3558/3136 3170/3567/3144 3169/3568/3142 3161/3559/3134 +f 3163/3560/3137 3171/3569/3145 3170/3567/3144 3162/3558/3136 +f 3164/3561/3138 3172/3570/3146 3171/3569/3145 3163/3560/3137 +f 3165/3562/3139 3173/3571/3147 3172/3570/3146 3164/3561/3138 +f 3166/3563/3140 3174/3572/3148 3173/3571/3147 3165/3562/3139 +f 3167/3564/3141 3175/3573/3149 3174/3572/3148 3166/3563/3140 +f 3168/3557/3135 3176/3566/3143 3175/3573/3149 3167/3564/3141 +f 3169/3565/3142 3177/3574/3150 3184/3575/3151 3176/3566/3143 +f 3170/3567/3144 3178/3576/3152 3177/3577/3150 3169/3568/3142 +f 3171/3569/3145 3179/3578/3153 3178/3576/3152 3170/3567/3144 +f 3172/3570/3146 3180/3579/3154 3179/3578/3153 3171/3569/3145 +f 3173/3571/3147 3181/3580/3155 3180/3579/3154 3172/3570/3146 +f 3174/3572/3148 3182/3581/3156 3181/3580/3155 3173/3571/3147 +f 3175/3573/3149 3183/3582/3157 3182/3581/3156 3174/3572/3148 +f 3176/3566/3143 3184/3575/3151 3183/3582/3157 3175/3573/3149 +f 3177/3574/3150 3185/3583/3158 3192/3584/3159 3184/3575/3151 +f 3178/3576/3152 3186/3585/3160 3185/3586/3158 3177/3577/3150 +f 3179/3578/3153 3187/3587/3161 3186/3585/3160 3178/3576/3152 +f 3180/3579/3154 3188/3588/3162 3187/3587/3161 3179/3578/3153 +f 3181/3580/3155 3189/3589/3163 3188/3588/3162 3180/3579/3154 +f 3182/3581/3156 3190/3590/3164 3189/3589/3163 3181/3580/3155 +f 3183/3582/3157 3191/3591/3165 3190/3590/3164 3182/3581/3156 +f 3184/3575/3151 3192/3584/3159 3191/3591/3165 3183/3582/3157 +f 3185/3583/3158 3193/3592/3166 3200/3593/3167 3192/3584/3159 +f 3186/3585/3160 3194/3594/3168 3193/3595/3166 3185/3586/3158 +f 3187/3587/3161 3195/3596/3169 3194/3594/3168 3186/3585/3160 +f 3188/3588/3162 3196/3597/3170 3195/3596/3169 3187/3587/3161 +f 3189/3589/3163 3197/3598/3171 3196/3597/3170 3188/3588/3162 +f 3190/3590/3164 3198/3599/3172 3197/3598/3171 3189/3589/3163 +f 3191/3591/3165 3199/3600/3173 3198/3599/3172 3190/3590/3164 +f 3192/3584/3159 3200/3593/3167 3199/3600/3173 3191/3591/3165 +f 3193/3592/3166 3201/3601/3174 3208/3602/3175 3200/3593/3167 +f 3194/3594/3168 3202/3603/3176 3201/3604/3174 3193/3595/3166 +f 3195/3596/3169 3203/3605/3177 3202/3603/3176 3194/3594/3168 +f 3196/3597/3170 3204/3606/3178 3203/3605/3177 3195/3596/3169 +f 3197/3598/3171 3205/3607/3179 3204/3606/3178 3196/3597/3170 +f 3198/3599/3172 3206/3608/3180 3205/3607/3179 3197/3598/3171 +f 3199/3600/3173 3207/3609/3181 3206/3608/3180 3198/3599/3172 +f 3200/3593/3167 3208/3602/3175 3207/3609/3181 3199/3600/3173 +f 3201/3601/3174 3209/3610/3182 3216/3611/3183 3208/3602/3175 +f 3202/3603/3176 3210/3612/3184 3209/3613/3182 3201/3604/3174 +f 3203/3605/3177 3211/3614/3185 3210/3612/3184 3202/3603/3176 +f 3204/3606/3178 3212/3615/3186 3211/3614/3185 3203/3605/3177 +f 3205/3607/3179 3213/3616/3187 3212/3615/3186 3204/3606/3178 +f 3206/3608/3180 3214/3617/3188 3213/3616/3187 3205/3607/3179 +f 3207/3609/3181 3215/3618/3189 3214/3617/3188 3206/3608/3180 +f 3208/3602/3175 3216/3611/3183 3215/3618/3189 3207/3609/3181 +f 3217/3619/3190 3225/3620/3190 3232/3621/3191 3224/3622/3191 +f 3218/3623/3192 3226/3624/3192 3225/3625/3190 3217/3626/3190 +f 3219/3627/3193 3227/3628/3193 3226/3624/3192 3218/3623/3192 +f 3220/3629/3194 3228/3630/3194 3227/3628/3193 3219/3627/3193 +f 3221/3631/3195 3229/3632/3196 3228/3630/3194 3220/3629/3194 +f 3222/3633/3197 3230/3634/3197 3229/3632/3196 3221/3631/3195 +f 3223/3635/3198 3231/3636/3198 3230/3634/3197 3222/3633/3197 +f 3224/3622/3191 3232/3621/3191 3231/3636/3198 3223/3635/3198 +f 3225/3620/3190 3233/3637/3199 3240/3638/3200 3232/3621/3191 +f 3226/3624/3192 3234/3639/3201 3233/3640/3199 3225/3625/3190 +f 3227/3628/3193 3235/3641/3202 3234/3639/3201 3226/3624/3192 +f 3228/3630/3194 3236/3642/3203 3235/3641/3202 3227/3628/3193 +f 3229/3632/3196 3237/3643/3204 3236/3642/3203 3228/3630/3194 +f 3230/3634/3197 3238/3644/3205 3237/3643/3204 3229/3632/3196 +f 3231/3636/3198 3239/3645/3206 3238/3644/3205 3230/3634/3197 +f 3232/3621/3191 3240/3638/3200 3239/3645/3206 3231/3636/3198 +f 3233/3637/3199 3241/3646/3207 3248/3647/3208 3240/3638/3200 +f 3234/3639/3201 3242/3648/3209 3241/3649/3207 3233/3640/3199 +f 3235/3641/3202 3243/3650/3202 3242/3648/3209 3234/3639/3201 +f 3236/3642/3203 3244/3651/3203 3243/3650/3202 3235/3641/3202 +f 3237/3643/3204 3245/3652/3210 3244/3651/3203 3236/3642/3203 +f 3238/3644/3205 3246/3653/3205 3245/3652/3210 3237/3643/3204 +f 3239/3645/3206 3247/3654/3206 3246/3653/3205 3238/3644/3205 +f 3240/3638/3200 3248/3647/3208 3247/3654/3206 3239/3645/3206 +f 3249/3655/3211 3257/3656/3212 3264/3657/3213 3256/3658/3214 +f 3250/3659/3215 3258/3660/3216 3257/3661/3212 3249/3662/3211 +f 3251/3663/3217 3259/3664/3218 3258/3660/3216 3250/3659/3215 +f 3252/3665/3219 3260/3666/3220 3259/3664/3218 3251/3663/3217 +f 3253/3667/3221 3261/3668/3222 3260/3666/3220 3252/3665/3219 +f 3254/3669/3223 3262/3670/3224 3261/3668/3222 3253/3667/3221 +f 3255/3671/3225 3263/3672/3226 3262/3670/3224 3254/3669/3223 +f 3256/3658/3214 3264/3657/3213 3263/3672/3226 3255/3671/3225 +f 3257/3656/3212 3265/3673/3227 3272/3674/3228 3264/3657/3213 +f 3258/3660/3216 3266/3675/3229 3265/3676/3227 3257/3661/3212 +f 3259/3664/3218 3267/3677/3230 3266/3675/3229 3258/3660/3216 +f 3260/3666/3220 3268/3678/3231 3267/3677/3230 3259/3664/3218 +f 3261/3668/3222 3269/3679/3232 3268/3678/3231 3260/3666/3220 +f 3262/3670/3224 3270/3680/3233 3269/3679/3232 3261/3668/3222 +f 3263/3672/3226 3271/3681/3234 3270/3680/3233 3262/3670/3224 +f 3264/3657/3213 3272/3674/3228 3271/3681/3234 3263/3672/3226 +f 3265/3673/3227 3273/3682/3235 3280/3683/3236 3272/3674/3228 +f 3266/3675/3229 3274/3684/3237 3273/3685/3235 3265/3676/3227 +f 3267/3677/3230 3275/3686/3238 3274/3684/3237 3266/3675/3229 +f 3268/3678/3231 3276/3687/3239 3275/3686/3238 3267/3677/3230 +f 3269/3679/3232 3277/3688/3240 3276/3687/3239 3268/3678/3231 +f 3270/3680/3233 3278/3689/3241 3277/3688/3240 3269/3679/3232 +f 3271/3681/3234 3279/3690/3242 3278/3689/3241 3270/3680/3233 +f 3272/3674/3228 3280/3683/3236 3279/3690/3242 3271/3681/3234 +f 3273/3682/3235 3281/3691/3243 3288/3692/3244 3280/3683/3236 +f 3274/3684/3237 3282/3693/3245 3281/3694/3243 3273/3685/3235 +f 3275/3686/3238 3283/3695/3246 3282/3693/3245 3274/3684/3237 +f 3276/3687/3239 3284/3696/3247 3283/3695/3246 3275/3686/3238 +f 3277/3688/3240 3285/3697/3248 3284/3696/3247 3276/3687/3239 +f 3278/3689/3241 3286/3698/3249 3285/3697/3248 3277/3688/3240 +f 3279/3690/3242 3287/3699/3250 3286/3698/3249 3278/3689/3241 +f 3280/3683/3236 3288/3692/3244 3287/3699/3250 3279/3690/3242 +f 3281/3691/3243 3289/3700/3251 3296/3701/3252 3288/3692/3244 +f 3282/3693/3245 3290/3702/3253 3289/3703/3251 3281/3694/3243 +f 3283/3695/3246 3291/3704/3254 3290/3702/3253 3282/3693/3245 +f 3284/3696/3247 3292/3705/3255 3291/3704/3254 3283/3695/3246 +f 3285/3697/3248 3293/3706/3256 3292/3705/3255 3284/3696/3247 +f 3286/3698/3249 3294/3707/3257 3293/3706/3256 3285/3697/3248 +f 3287/3699/3250 3295/3708/3258 3294/3707/3257 3286/3698/3249 +f 3288/3692/3244 3296/3701/3252 3295/3708/3258 3287/3699/3250 +f 3289/3700/3251 3297/3709/3259 3304/3710/3260 3296/3701/3252 +f 3290/3702/3253 3298/3711/3261 3297/3712/3259 3289/3703/3251 +f 3291/3704/3254 3299/3713/3262 3298/3711/3261 3290/3702/3253 +f 3292/3705/3255 3300/3714/3263 3299/3713/3262 3291/3704/3254 +f 3293/3706/3256 3301/3715/3264 3300/3714/3263 3292/3705/3255 +f 3294/3707/3257 3302/3716/3265 3301/3715/3264 3293/3706/3256 +f 3295/3708/3258 3303/3717/3266 3302/3716/3265 3294/3707/3257 +f 3296/3701/3252 3304/3710/3260 3303/3717/3266 3295/3708/3258 +f 3297/3709/3259 3305/3718/3267 3312/3719/3268 3304/3710/3260 +f 3298/3711/3261 3306/3720/3269 3305/3721/3267 3297/3712/3259 +f 3299/3713/3262 3307/3722/3270 3306/3720/3269 3298/3711/3261 +f 3300/3714/3263 3308/3723/3271 3307/3722/3270 3299/3713/3262 +f 3301/3715/3264 3309/3724/3272 3308/3723/3271 3300/3714/3263 +f 3302/3716/3265 3310/3725/3273 3309/3724/3272 3301/3715/3264 +f 3303/3717/3266 3311/3726/3274 3310/3725/3273 3302/3716/3265 +f 3304/3710/3260 3312/3719/3268 3311/3726/3274 3303/3717/3266 +f 3305/3718/3267 3313/3727/3275 3320/3728/3276 3312/3719/3268 +f 3306/3720/3269 3314/3729/3277 3313/3730/3275 3305/3721/3267 +f 3307/3722/3270 3315/3731/3278 3314/3729/3277 3306/3720/3269 +f 3308/3723/3271 3316/3732/3279 3315/3731/3278 3307/3722/3270 +f 3309/3724/3272 3317/3733/3280 3316/3732/3279 3308/3723/3271 +f 3310/3725/3273 3318/3734/3281 3317/3733/3280 3309/3724/3272 +f 3311/3726/3274 3319/3735/3282 3318/3734/3281 3310/3725/3273 +f 3312/3719/3268 3320/3728/3276 3319/3735/3282 3311/3726/3274 +f 3313/3727/3275 3321/3736/3283 3328/3737/3284 3320/3728/3276 +f 3314/3729/3277 3322/3738/3285 3321/3739/3283 3313/3730/3275 +f 3315/3731/3278 3323/3740/3286 3322/3738/3285 3314/3729/3277 +f 3316/3732/3279 3324/3741/3287 3323/3740/3286 3315/3731/3278 +f 3317/3733/3280 3325/3742/3288 3324/3741/3287 3316/3732/3279 +f 3318/3734/3281 3326/3743/3289 3325/3742/3288 3317/3733/3280 +f 3319/3735/3282 3327/3744/3290 3326/3743/3289 3318/3734/3281 +f 3320/3728/3276 3328/3737/3284 3327/3744/3290 3319/3735/3282 +f 3329/3745/3291 3337/3746/3291 3344/3747/3292 3336/3748/3293 +f 3330/3749/3294 3338/3750/3294 3337/3751/3291 3329/3752/3291 +f 3331/3753/3295 3339/3754/3296 3338/3750/3294 3330/3749/3294 +f 3332/3755/3297 3340/3756/3297 3339/3754/3296 3331/3753/3295 +f 3333/3757/3298 3341/3758/3298 3340/3756/3297 3332/3755/3297 +f 3334/3759/3299 3342/3760/3299 3341/3758/3298 3333/3757/3298 +f 3335/3761/3300 3343/3762/3300 3342/3760/3299 3334/3759/3299 +f 3336/3748/3293 3344/3747/3292 3343/3762/3300 3335/3761/3300 +f 3337/3746/3291 3345/3763/3301 3352/3764/3293 3344/3747/3292 +f 3338/3750/3294 3346/3765/3302 3345/3766/3301 3337/3751/3291 +f 3339/3754/3296 3347/3767/3303 3346/3765/3302 3338/3750/3294 +f 3340/3756/3297 3348/3768/3304 3347/3767/3303 3339/3754/3296 +f 3341/3758/3298 3349/3769/3305 3348/3768/3304 3340/3756/3297 +f 3342/3760/3299 3350/3770/3306 3349/3769/3305 3341/3758/3298 +f 3343/3762/3300 3351/3771/3300 3350/3770/3306 3342/3760/3299 +f 3344/3747/3292 3352/3764/3293 3351/3771/3300 3343/3762/3300 +f 3345/3763/3301 3353/3772/3307 3360/3773/3293 3352/3764/3293 +f 3346/3765/3302 3354/3774/3302 3353/3775/3307 3345/3766/3301 +f 3347/3767/3303 3355/3776/3308 3354/3774/3302 3346/3765/3302 +f 3348/3768/3304 3356/3777/3304 3355/3776/3308 3347/3767/3303 +f 3349/3769/3305 3357/3778/3309 3356/3777/3304 3348/3768/3304 +f 3350/3770/3306 3358/3779/3306 3357/3778/3309 3349/3769/3305 +f 3351/3771/3300 3359/3780/3310 3358/3779/3306 3350/3770/3306 +f 3352/3764/3293 3360/3773/3293 3359/3780/3310 3351/3771/3300 +f 3361/3781/3311 3369/3782/3312 3376/3783/3313 3368/3784/3314 +f 3362/3785/3315 3370/3786/3316 3369/3787/3312 3361/3788/3311 +f 3363/3789/3317 3371/3790/3318 3370/3786/3316 3362/3785/3315 +f 3364/3791/3319 3372/3792/3320 3371/3790/3318 3363/3789/3317 +f 3365/3793/3321 3373/3794/3322 3372/3792/3320 3364/3791/3319 +f 3366/3795/3323 3374/3796/3324 3373/3794/3322 3365/3793/3321 +f 3367/3797/3325 3375/3798/3326 3374/3796/3324 3366/3795/3323 +f 3368/3784/3314 3376/3783/3313 3375/3798/3326 3367/3797/3325 +f 3369/3782/3312 3377/3799/3327 3384/3800/3328 3376/3783/3313 +f 3370/3786/3316 3378/3801/3329 3377/3802/3327 3369/3787/3312 +f 3371/3790/3318 3379/3803/3330 3378/3801/3329 3370/3786/3316 +f 3372/3792/3320 3380/3804/3331 3379/3803/3330 3371/3790/3318 +f 3373/3794/3322 3381/3805/3332 3380/3804/3331 3372/3792/3320 +f 3374/3796/3324 3382/3806/3333 3381/3805/3332 3373/3794/3322 +f 3375/3798/3326 3383/3807/3334 3382/3806/3333 3374/3796/3324 +f 3376/3783/3313 3384/3800/3328 3383/3807/3334 3375/3798/3326 +f 3377/3799/3327 3385/3808/3335 3392/3809/3336 3384/3800/3328 +f 3378/3801/3329 3386/3810/3337 3385/3811/3335 3377/3802/3327 +f 3379/3803/3330 3387/3812/3338 3386/3810/3337 3378/3801/3329 +f 3380/3804/3331 3388/3813/3339 3387/3812/3338 3379/3803/3330 +f 3381/3805/3332 3389/3814/3340 3388/3813/3339 3380/3804/3331 +f 3382/3806/3333 3390/3815/3341 3389/3814/3340 3381/3805/3332 +f 3383/3807/3334 3391/3816/3342 3390/3815/3341 3382/3806/3333 +f 3384/3800/3328 3392/3809/3336 3391/3816/3342 3383/3807/3334 +f 3385/3808/3335 3393/3817/3343 3400/3818/3344 3392/3809/3336 +f 3386/3810/3337 3394/3819/3345 3393/3820/3343 3385/3811/3335 +f 3387/3812/3338 3395/3821/3346 3394/3819/3345 3386/3810/3337 +f 3388/3813/3339 3396/3822/3347 3395/3821/3346 3387/3812/3338 +f 3389/3814/3340 3397/3823/3348 3396/3822/3347 3388/3813/3339 +f 3390/3815/3341 3398/3824/3349 3397/3823/3348 3389/3814/3340 +f 3391/3816/3342 3399/3825/3350 3398/3824/3349 3390/3815/3341 +f 3392/3809/3336 3400/3818/3344 3399/3825/3350 3391/3816/3342 +f 3393/3817/3343 3401/3826/3351 3408/3827/3352 3400/3818/3344 +f 3394/3819/3345 3402/3828/3353 3401/3829/3351 3393/3820/3343 +f 3395/3821/3346 3403/3830/3354 3402/3828/3353 3394/3819/3345 +f 3396/3822/3347 3404/3831/3355 3403/3830/3354 3395/3821/3346 +f 3397/3823/3348 3405/3832/3356 3404/3831/3355 3396/3822/3347 +f 3398/3824/3349 3406/3833/3357 3405/3832/3356 3397/3823/3348 +f 3399/3825/3350 3407/3834/3358 3406/3833/3357 3398/3824/3349 +f 3400/3818/3344 3408/3827/3352 3407/3834/3358 3399/3825/3350 +f 3401/3826/3351 3409/3835/3359 3416/3836/3360 3408/3827/3352 +f 3402/3828/3353 3410/3837/3361 3409/3838/3359 3401/3829/3351 +f 3403/3830/3354 3411/3839/3362 3410/3837/3361 3402/3828/3353 +f 3404/3831/3355 3412/3840/3363 3411/3839/3362 3403/3830/3354 +f 3405/3832/3356 3413/3841/3364 3412/3840/3363 3404/3831/3355 +f 3406/3833/3357 3414/3842/3365 3413/3841/3364 3405/3832/3356 +f 3407/3834/3358 3415/3843/3366 3414/3842/3365 3406/3833/3357 +f 3408/3827/3352 3416/3836/3360 3415/3843/3366 3407/3834/3358 +f 3417/3844/3367 3425/3845/3367 3432/3846/3368 3424/3847/3368 +f 3418/3848/3369 3426/3849/3369 3425/3850/3367 3417/3851/3367 +f 3419/3852/3370 3427/3853/3370 3426/3849/3369 3418/3848/3369 +f 3420/3854/3371 3428/3855/3372 3427/3853/3370 3419/3852/3370 +f 3421/3856/3373 3429/3857/3373 3428/3855/3372 3420/3854/3371 +f 3422/3858/3374 3430/3859/3374 3429/3857/3373 3421/3856/3373 +f 3423/3860/3375 3431/3861/3375 3430/3859/3374 3422/3858/3374 +f 3424/3847/3368 3432/3846/3368 3431/3861/3375 3423/3860/3375 +f 3425/3845/3367 3433/3862/3376 3440/3863/3368 3432/3846/3368 +f 3426/3849/3369 3434/3864/3369 3433/3865/3376 3425/3850/3367 +f 3427/3853/3370 3435/3866/3377 3434/3864/3369 3426/3849/3369 +f 3428/3855/3372 3436/3867/3371 3435/3866/3377 3427/3853/3370 +f 3429/3857/3373 3437/3868/3378 3436/3867/3371 3428/3855/3372 +f 3430/3859/3374 3438/3869/3374 3437/3868/3378 3429/3857/3373 +f 3431/3861/3375 3439/3870/3375 3438/3869/3374 3430/3859/3374 +f 3432/3846/3368 3440/3863/3368 3439/3870/3375 3431/3861/3375 +f 3433/3862/3376 3441/3871/3379 3448/3872/3380 3440/3863/3368 +f 3434/3864/3369 3442/3873/3381 3441/3874/3379 3433/3865/3376 +f 3435/3866/3377 3443/3875/3382 3442/3873/3381 3434/3864/3369 +f 3436/3867/3371 3444/3876/3371 3443/3875/3382 3435/3866/3377 +f 3437/3868/3378 3445/3877/3383 3444/3876/3371 3436/3867/3371 +f 3438/3869/3374 3446/3878/3384 3445/3877/3383 3437/3868/3378 +f 3439/3870/3375 3447/3879/3385 3446/3878/3384 3438/3869/3374 +f 3440/3863/3368 3448/3872/3380 3447/3879/3385 3439/3870/3375 +f 3449/3880/3386 3457/3881/3387 3464/3882/3388 3456/3883/3389 +f 3450/3884/3390 3458/3885/3391 3457/3886/3387 3449/3887/3386 +f 3451/3888/3392 3459/3889/3393 3458/3885/3391 3450/3884/3390 +f 3452/3890/3394 3460/3891/3395 3459/3889/3393 3451/3888/3392 +f 3453/3892/3396 3461/3893/3397 3460/3891/3395 3452/3890/3394 +f 3454/3894/3398 3462/3895/3399 3461/3893/3397 3453/3892/3396 +f 3455/3896/3400 3463/3897/3401 3462/3895/3399 3454/3894/3398 +f 3456/3883/3389 3464/3882/3388 3463/3897/3401 3455/3896/3400 +f 3457/3881/3387 3465/3898/3402 3472/3899/3403 3464/3882/3388 +f 3458/3885/3391 3466/3900/3404 3465/3901/3402 3457/3886/3387 +f 3459/3889/3393 3467/3902/3405 3466/3900/3404 3458/3885/3391 +f 3460/3891/3395 3468/3903/3406 3467/3902/3405 3459/3889/3393 +f 3461/3893/3397 3469/3904/3407 3468/3903/3406 3460/3891/3395 +f 3462/3895/3399 3470/3905/3408 3469/3904/3407 3461/3893/3397 +f 3463/3897/3401 3471/3906/3409 3470/3905/3408 3462/3895/3399 +f 3464/3882/3388 3472/3899/3403 3471/3906/3409 3463/3897/3401 +f 3465/3898/3402 3473/3907/3410 3480/3908/3411 3472/3899/3403 +f 3466/3900/3404 3474/3909/3412 3473/3910/3410 3465/3901/3402 +f 3467/3902/3405 3475/3911/3413 3474/3909/3412 3466/3900/3404 +f 3468/3903/3406 3476/3912/3414 3475/3911/3413 3467/3902/3405 +f 3469/3904/3407 3477/3913/3415 3476/3912/3414 3468/3903/3406 +f 3470/3905/3408 3478/3914/3416 3477/3913/3415 3469/3904/3407 +f 3471/3906/3409 3479/3915/3417 3478/3914/3416 3470/3905/3408 +f 3472/3899/3403 3480/3908/3411 3479/3915/3417 3471/3906/3409 +f 3473/3907/3410 3481/3916/3418 3488/3917/3419 3480/3908/3411 +f 3474/3909/3412 3482/3918/3420 3481/3919/3418 3473/3910/3410 +f 3475/3911/3413 3483/3920/3421 3482/3918/3420 3474/3909/3412 +f 3476/3912/3414 3484/3921/3422 3483/3920/3421 3475/3911/3413 +f 3477/3913/3415 3485/3922/3423 3484/3921/3422 3476/3912/3414 +f 3478/3914/3416 3486/3923/3424 3485/3922/3423 3477/3913/3415 +f 3479/3915/3417 3487/3924/3425 3486/3923/3424 3478/3914/3416 +f 3480/3908/3411 3488/3917/3419 3487/3924/3425 3479/3915/3417 +f 3481/3916/3418 3489/3925/3426 3496/3926/3427 3488/3917/3419 +f 3482/3918/3420 3490/3927/3428 3489/3928/3426 3481/3919/3418 +f 3483/3920/3421 3491/3929/3429 3490/3927/3428 3482/3918/3420 +f 3484/3921/3422 3492/3930/3430 3491/3929/3429 3483/3920/3421 +f 3485/3922/3423 3493/3931/3431 3492/3930/3430 3484/3921/3422 +f 3486/3923/3424 3494/3932/3432 3493/3931/3431 3485/3922/3423 +f 3487/3924/3425 3495/3933/3433 3494/3932/3432 3486/3923/3424 +f 3488/3917/3419 3496/3926/3427 3495/3933/3433 3487/3924/3425 +f 3489/3925/3426 3497/3934/3434 3504/3935/3435 3496/3926/3427 +f 3490/3927/3428 3498/3936/3436 3497/3937/3434 3489/3928/3426 +f 3491/3929/3429 3499/3938/3437 3498/3936/3436 3490/3927/3428 +f 3492/3930/3430 3500/3939/3438 3499/3938/3437 3491/3929/3429 +f 3493/3931/3431 3501/3940/3439 3500/3939/3438 3492/3930/3430 +f 3494/3932/3432 3502/3941/3440 3501/3940/3439 3493/3931/3431 +f 3495/3933/3433 3503/3942/3441 3502/3941/3440 3494/3932/3432 +f 3496/3926/3427 3504/3935/3435 3503/3942/3441 3495/3933/3433 +f 3505/3943/3442 3513/3944/3443 3520/3945/3444 3512/3946/3445 +f 3506/3947/3446 3514/3948/3447 3513/3949/3443 3505/3950/3442 +f 3507/3951/3448 3515/3952/3449 3514/3948/3447 3506/3947/3446 +f 3508/3953/3450 3516/3954/3451 3515/3952/3449 3507/3951/3448 +f 3509/3955/3452 3517/3956/3453 3516/3954/3451 3508/3953/3450 +f 3510/3957/3454 3518/3958/3455 3517/3956/3453 3509/3955/3452 +f 3511/3959/3456 3519/3960/3457 3518/3958/3455 3510/3957/3454 +f 3512/3946/3445 3520/3945/3444 3519/3960/3457 3511/3959/3456 +f 3513/3944/3443 3521/3961/3458 3528/3962/3459 3520/3945/3444 +f 3514/3948/3447 3522/3963/3460 3521/3964/3458 3513/3949/3443 +f 3515/3952/3449 3523/3965/3461 3522/3963/3460 3514/3948/3447 +f 3516/3954/3451 3524/3966/3462 3523/3965/3461 3515/3952/3449 +f 3517/3956/3453 3525/3967/3463 3524/3966/3462 3516/3954/3451 +f 3518/3958/3455 3526/3968/3464 3525/3967/3463 3517/3956/3453 +f 3519/3960/3457 3527/3969/3465 3526/3968/3464 3518/3958/3455 +f 3520/3945/3444 3528/3962/3459 3527/3969/3465 3519/3960/3457 +f 3521/3961/3458 3529/3970/3466 3536/3971/3467 3528/3962/3459 +f 3522/3963/3460 3530/3972/3468 3529/3973/3466 3521/3964/3458 +f 3523/3965/3461 3531/3974/3469 3530/3972/3468 3522/3963/3460 +f 3524/3966/3462 3532/3975/3470 3531/3974/3469 3523/3965/3461 +f 3525/3967/3463 3533/3976/3471 3532/3975/3470 3524/3966/3462 +f 3526/3968/3464 3534/3977/3472 3533/3976/3471 3525/3967/3463 +f 3527/3969/3465 3535/3978/3473 3534/3977/3472 3526/3968/3464 +f 3528/3962/3459 3536/3971/3467 3535/3978/3473 3527/3969/3465 +f 3529/3970/3466 3537/3979/3474 3544/3980/3475 3536/3971/3467 +f 3530/3972/3468 3538/3981/3476 3537/3982/3474 3529/3973/3466 +f 3531/3974/3469 3539/3983/3477 3538/3981/3476 3530/3972/3468 +f 3532/3975/3470 3540/3984/3478 3539/3983/3477 3531/3974/3469 +f 3533/3976/3471 3541/3985/3479 3540/3984/3478 3532/3975/3470 +f 3534/3977/3472 3542/3986/3480 3541/3985/3479 3533/3976/3471 +f 3535/3978/3473 3543/3987/3481 3542/3986/3480 3534/3977/3472 +f 3536/3971/3467 3544/3980/3475 3543/3987/3481 3535/3978/3473 +f 3537/3979/3474 3545/3988/3482 3552/3989/3483 3544/3980/3475 +f 3538/3981/3476 3546/3990/3484 3545/3991/3482 3537/3982/3474 +f 3539/3983/3477 3547/3992/3485 3546/3990/3484 3538/3981/3476 +f 3540/3984/3478 3548/3993/3486 3547/3992/3485 3539/3983/3477 +f 3541/3985/3479 3549/3994/3487 3548/3993/3486 3540/3984/3478 +f 3542/3986/3480 3550/3995/3488 3549/3994/3487 3541/3985/3479 +f 3543/3987/3481 3551/3996/3489 3550/3995/3488 3542/3986/3480 +f 3544/3980/3475 3552/3989/3483 3551/3996/3489 3543/3987/3481 +f 3545/3988/3482 3553/3997/3490 3560/3998/3491 3552/3989/3483 +f 3546/3990/3484 3554/3999/3492 3553/4000/3490 3545/3991/3482 +f 3547/3992/3485 3555/4001/3493 3554/3999/3492 3546/3990/3484 +f 3548/3993/3486 3556/4002/3494 3555/4001/3493 3547/3992/3485 +f 3549/3994/3487 3557/4003/3495 3556/4002/3494 3548/3993/3486 +f 3550/3995/3488 3558/4004/3496 3557/4003/3495 3549/3994/3487 +f 3551/3996/3489 3559/4005/3497 3558/4004/3496 3550/3995/3488 +f 3552/3989/3483 3560/3998/3491 3559/4005/3497 3551/3996/3489 +f 3561/4006/3498 3569/4007/3499 3576/4008/3500 3568/4009/3501 +f 3562/4010/3502 3570/4011/3503 3569/4012/3499 3561/4013/3498 +f 3563/4014/3504 3571/4015/3505 3570/4011/3503 3562/4010/3502 +f 3564/4016/3506 3572/4017/3507 3571/4015/3505 3563/4014/3504 +f 3565/4018/3508 3573/4019/3509 3572/4017/3507 3564/4016/3506 +f 3566/4020/3510 3574/4021/3511 3573/4019/3509 3565/4018/3508 +f 3567/4022/3512 3575/4023/3513 3574/4021/3511 3566/4020/3510 +f 3568/4009/3501 3576/4008/3500 3575/4023/3513 3567/4022/3512 +f 3569/4007/3499 3577/4024/3514 3584/4025/3515 3576/4008/3500 +f 3570/4011/3503 3578/4026/3516 3577/4027/3514 3569/4012/3499 +f 3571/4015/3505 3579/4028/3517 3578/4026/3516 3570/4011/3503 +f 3572/4017/3507 3580/4029/3518 3579/4028/3517 3571/4015/3505 +f 3573/4019/3509 3581/4030/3519 3580/4029/3518 3572/4017/3507 +f 3574/4021/3511 3582/4031/3520 3581/4030/3519 3573/4019/3509 +f 3575/4023/3513 3583/4032/3521 3582/4031/3520 3574/4021/3511 +f 3576/4008/3500 3584/4025/3515 3583/4032/3521 3575/4023/3513 +f 3577/4024/3514 3585/4033/3522 3592/4034/3523 3584/4025/3515 +f 3578/4026/3516 3586/4035/3524 3585/4036/3522 3577/4027/3514 +f 3579/4028/3517 3587/4037/3525 3586/4035/3524 3578/4026/3516 +f 3580/4029/3518 3588/4038/3526 3587/4037/3525 3579/4028/3517 +f 3581/4030/3519 3589/4039/3527 3588/4038/3526 3580/4029/3518 +f 3582/4031/3520 3590/4040/3528 3589/4039/3527 3581/4030/3519 +f 3583/4032/3521 3591/4041/3529 3590/4040/3528 3582/4031/3520 +f 3584/4025/3515 3592/4034/3523 3591/4041/3529 3583/4032/3521 +f 3585/4033/3522 3593/4042/3530 3600/4043/3531 3592/4034/3523 +f 3586/4035/3524 3594/4044/3532 3593/4045/3530 3585/4036/3522 +f 3587/4037/3525 3595/4046/3533 3594/4044/3532 3586/4035/3524 +f 3588/4038/3526 3596/4047/3534 3595/4046/3533 3587/4037/3525 +f 3589/4039/3527 3597/4048/3535 3596/4047/3534 3588/4038/3526 +f 3590/4040/3528 3598/4049/3536 3597/4048/3535 3589/4039/3527 +f 3591/4041/3529 3599/4050/3537 3598/4049/3536 3590/4040/3528 +f 3592/4034/3523 3600/4043/3531 3599/4050/3537 3591/4041/3529 +f 3593/4042/3530 3601/4051/3538 3608/4052/3539 3600/4043/3531 +f 3594/4044/3532 3602/4053/3540 3601/4054/3538 3593/4045/3530 +f 3595/4046/3533 3603/4055/3541 3602/4053/3540 3594/4044/3532 +f 3596/4047/3534 3604/4056/3542 3603/4055/3541 3595/4046/3533 +f 3597/4048/3535 3605/4057/3543 3604/4056/3542 3596/4047/3534 +f 3598/4049/3536 3606/4058/3544 3605/4057/3543 3597/4048/3535 +f 3599/4050/3537 3607/4059/3545 3606/4058/3544 3598/4049/3536 +f 3600/4043/3531 3608/4052/3539 3607/4059/3545 3599/4050/3537 +f 3601/4051/3538 3609/4060/3546 3616/4061/3547 3608/4052/3539 +f 3602/4053/3540 3610/4062/3548 3609/4063/3546 3601/4054/3538 +f 3603/4055/3541 3611/4064/3549 3610/4062/3548 3602/4053/3540 +f 3604/4056/3542 3612/4065/3550 3611/4064/3549 3603/4055/3541 +f 3605/4057/3543 3613/4066/3551 3612/4065/3550 3604/4056/3542 +f 3606/4058/3544 3614/4067/3552 3613/4066/3551 3605/4057/3543 +f 3607/4059/3545 3615/4068/3553 3614/4067/3552 3606/4058/3544 +f 3608/4052/3539 3616/4061/3547 3615/4068/3553 3607/4059/3545 +f 3609/4060/3546 3617/4069/3554 3624/4070/3555 3616/4061/3547 +f 3610/4062/3548 3618/4071/3556 3617/4072/3554 3609/4063/3546 +f 3611/4064/3549 3619/4073/3557 3618/4071/3556 3610/4062/3548 +f 3612/4065/3550 3620/4074/3558 3619/4073/3557 3611/4064/3549 +f 3613/4066/3551 3621/4075/3559 3620/4074/3558 3612/4065/3550 +f 3614/4067/3552 3622/4076/3560 3621/4075/3559 3613/4066/3551 +f 3615/4068/3553 3623/4077/3561 3622/4076/3560 3614/4067/3552 +f 3616/4061/3547 3624/4070/3555 3623/4077/3561 3615/4068/3553 +f 3617/4069/3554 3625/4078/3562 3632/4079/3563 3624/4070/3555 +f 3618/4071/3556 3626/4080/3564 3625/4081/3562 3617/4072/3554 +f 3619/4073/3557 3627/4082/3565 3626/4080/3564 3618/4071/3556 +f 3620/4074/3558 3628/4083/3566 3627/4082/3565 3619/4073/3557 +f 3621/4075/3559 3629/4084/3567 3628/4083/3566 3620/4074/3558 +f 3622/4076/3560 3630/4085/3568 3629/4084/3567 3621/4075/3559 +f 3623/4077/3561 3631/4086/3569 3630/4085/3568 3622/4076/3560 +f 3624/4070/3555 3632/4079/3563 3631/4086/3569 3623/4077/3561 +f 3625/4078/3562 3633/4087/3570 3640/4088/3571 3632/4079/3563 +f 3626/4080/3564 3634/4089/3572 3633/4090/3570 3625/4081/3562 +f 3627/4082/3565 3635/4091/3573 3634/4089/3572 3626/4080/3564 +f 3628/4083/3566 3636/4092/3574 3635/4091/3573 3627/4082/3565 +f 3629/4084/3567 3637/4093/3575 3636/4092/3574 3628/4083/3566 +f 3630/4085/3568 3638/4094/3576 3637/4093/3575 3629/4084/3567 +f 3631/4086/3569 3639/4095/3577 3638/4094/3576 3630/4085/3568 +f 3632/4079/3563 3640/4088/3571 3639/4095/3577 3631/4086/3569 +f 3641/4096/3578 3649/4097/3579 3656/4098/3580 3648/4099/3580 +f 3642/4100/3581 3650/4101/3581 3649/4102/3579 3641/4103/3578 +f 3643/4104/3582 3651/4105/3582 3650/4101/3581 3642/4100/3581 +f 3644/4106/3583 3652/4107/3583 3651/4105/3582 3643/4104/3582 +f 3645/4108/3584 3653/4109/3584 3652/4107/3583 3644/4106/3583 +f 3646/4110/3585 3654/4111/3585 3653/4109/3584 3645/4108/3584 +f 3647/4112/3586 3655/4113/3586 3654/4111/3585 3646/4110/3585 +f 3648/4099/3580 3656/4098/3580 3655/4113/3586 3647/4112/3586 +f 3649/4097/3579 3657/4114/3587 3664/4115/3588 3656/4098/3580 +f 3650/4101/3581 3658/4116/3589 3657/4117/3587 3649/4102/3579 +f 3651/4105/3582 3659/4118/3590 3658/4116/3589 3650/4101/3581 +f 3652/4107/3583 3660/4119/3591 3659/4118/3590 3651/4105/3582 +f 3653/4109/3584 3661/4120/3592 3660/4119/3591 3652/4107/3583 +f 3654/4111/3585 3662/4121/3593 3661/4120/3592 3653/4109/3584 +f 3655/4113/3586 3663/4122/3594 3662/4121/3593 3654/4111/3585 +f 3656/4098/3580 3664/4115/3588 3663/4122/3594 3655/4113/3586 +f 3657/4114/3587 3665/4123/3595 3672/4124/3596 3664/4115/3588 +f 3658/4116/3589 3666/4125/3597 3665/4126/3595 3657/4117/3587 +f 3659/4118/3590 3667/4127/3598 3666/4125/3597 3658/4116/3589 +f 3660/4119/3591 3668/4128/3599 3667/4127/3598 3659/4118/3590 +f 3661/4120/3592 3669/4129/3600 3668/4128/3599 3660/4119/3591 +f 3662/4121/3593 3670/4130/3601 3669/4129/3600 3661/4120/3592 +f 3663/4122/3594 3671/4131/3602 3670/4130/3601 3662/4121/3593 +f 3664/4115/3588 3672/4124/3596 3671/4131/3602 3663/4122/3594 +f 3673/4132/3603 3681/4133/3603 3688/4134/3604 3680/4135/3604 +f 3674/4136/3605 3682/4137/3605 3681/4138/3603 3673/4139/3603 +f 3675/4140/3606 3683/4141/3606 3682/4137/3605 3674/4136/3605 +f 3676/4142/3607 3684/4143/3607 3683/4141/3606 3675/4140/3606 +f 3677/4144/3608 3685/4145/3608 3684/4143/3607 3676/4142/3607 +f 3678/4146/3609 3686/4147/3609 3685/4145/3608 3677/4144/3608 +f 3679/4148/3610 3687/4149/3610 3686/4147/3609 3678/4146/3609 +f 3680/4135/3604 3688/4134/3604 3687/4149/3610 3679/4148/3610 +f 3681/4133/3603 3689/4150/3611 3696/4151/3612 3688/4134/3604 +f 3682/4137/3605 3690/4152/3613 3689/4153/3611 3681/4138/3603 +f 3683/4141/3606 3691/4154/3614 3690/4152/3613 3682/4137/3605 +f 3684/4143/3607 3692/4155/3615 3691/4154/3614 3683/4141/3606 +f 3685/4145/3608 3693/4156/3616 3692/4155/3615 3684/4143/3607 +f 3686/4147/3609 3694/4157/3617 3693/4156/3616 3685/4145/3608 +f 3687/4149/3610 3695/4158/3618 3694/4157/3617 3686/4147/3609 +f 3688/4134/3604 3696/4151/3612 3695/4158/3618 3687/4149/3610 +f 3689/4150/3611 3697/4159/3619 3704/4160/3620 3696/4151/3612 +f 3690/4152/3613 3698/4161/3621 3697/4162/3619 3689/4153/3611 +f 3691/4154/3614 3699/4163/3622 3698/4161/3621 3690/4152/3613 +f 3692/4155/3615 3700/4164/3623 3699/4163/3622 3691/4154/3614 +f 3693/4156/3616 3701/4165/3624 3700/4164/3623 3692/4155/3615 +f 3694/4157/3617 3702/4166/3625 3701/4165/3624 3693/4156/3616 +f 3695/4158/3618 3703/4167/3626 3702/4166/3625 3694/4157/3617 +f 3696/4151/3612 3704/4160/3620 3703/4167/3626 3695/4158/3618 diff --git a/data/sceneparts/tree10/leaves.001.obj b/data/sceneparts/tree10/leaves.001.obj deleted file mode 100644 index e90830558..000000000 --- a/data/sceneparts/tree10/leaves.001.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.001 -v 0.234674 0.160122 0.764187 -v 0.262798 0.126645 0.778945 -v 0.323358 0.137702 0.829411 -v 0.265673 0.178652 0.792913 -v 0.295234 0.171179 0.814654 -v 0.292360 0.119172 0.800686 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6116 -0.1735 0.7719 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.002.obj b/data/sceneparts/tree10/leaves.002.obj deleted file mode 100644 index e4c47a149..000000000 --- a/data/sceneparts/tree10/leaves.002.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.002 -v 0.239888 0.161732 0.767990 -v 0.281618 0.141661 0.774784 -v 0.335920 0.166467 0.829135 -v 0.262179 0.184960 0.801961 -v 0.294190 0.186538 0.822342 -v 0.313629 0.143239 0.795165 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4042 -0.6095 0.6820 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.003.obj b/data/sceneparts/tree10/leaves.003.obj deleted file mode 100644 index f899220fb..000000000 --- a/data/sceneparts/tree10/leaves.003.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.003 -v 0.244226 0.164693 0.772978 -v 0.260815 0.179142 0.800475 -v 0.270626 0.238706 0.807262 -v 0.245236 0.199586 0.768337 -v 0.254037 0.224257 0.779765 -v 0.269615 0.203813 0.811903 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.8728 0.0891 0.4798 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.004.obj b/data/sceneparts/tree10/leaves.004.obj deleted file mode 100644 index 9871d2710..000000000 --- a/data/sceneparts/tree10/leaves.004.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.004 -v 0.247326 0.168209 0.778117 -v 0.260989 0.157181 0.798630 -v 0.267101 0.177433 0.840126 -v 0.246847 0.185386 0.798944 -v 0.253439 0.188461 0.819614 -v 0.267580 0.160256 0.819299 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.8418 -0.4258 0.3318 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.005.obj b/data/sceneparts/tree10/leaves.005.obj deleted file mode 100644 index 29e67197c..000000000 --- a/data/sceneparts/tree10/leaves.005.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.005 -v 0.245752 0.162667 0.771283 -v 0.311160 0.131063 0.772956 -v 0.260749 0.137677 0.764851 -v 0.274361 0.166588 0.778830 -v 0.296163 0.156053 0.779388 -v 0.282552 0.127142 0.765409 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.1934 -0.3518 0.9159 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.006.obj b/data/sceneparts/tree10/leaves.006.obj deleted file mode 100644 index 8e48f0bb7..000000000 --- a/data/sceneparts/tree10/leaves.006.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.006 -v 0.249327 0.162723 0.772711 -v 0.269141 0.151216 0.762984 -v 0.306895 0.170175 0.755301 -v 0.267892 0.179198 0.770831 -v 0.287081 0.181683 0.765028 -v 0.288330 0.153700 0.757181 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3095 -0.2439 0.9191 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.007.obj b/data/sceneparts/tree10/leaves.007.obj deleted file mode 100644 index 4f2a617bd..000000000 --- a/data/sceneparts/tree10/leaves.007.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.007 -v 0.236816 0.009789 0.679890 -v 0.356427 0.053329 0.631402 -v 0.292006 0.000618 0.680252 -v 0.261366 0.047986 0.647203 -v 0.301237 0.062500 0.631040 -v 0.331877 0.015132 0.664089 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0963 0.6107 0.7860 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.008.obj b/data/sceneparts/tree10/leaves.008.obj deleted file mode 100644 index d06aebb6f..000000000 --- a/data/sceneparts/tree10/leaves.008.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.008 -v 0.242674 0.008379 0.678270 -v 0.265096 -0.027605 0.668487 -v 0.339851 -0.033335 0.672063 -v 0.285037 0.016553 0.683915 -v 0.317429 0.002648 0.681846 -v 0.297489 -0.041510 0.666418 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0686 -0.3013 0.9511 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.009.obj b/data/sceneparts/tree10/leaves.009.obj deleted file mode 100644 index 915a01d53..000000000 --- a/data/sceneparts/tree10/leaves.009.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.009 -v 0.247856 0.007132 0.676836 -v 0.257752 -0.034036 0.662954 -v 0.328917 -0.058953 0.648027 -v 0.292000 0.004243 0.671512 -v 0.319020 -0.017786 0.661909 -v 0.284773 -0.056064 0.653351 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0951 -0.2975 0.9500 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.010.obj b/data/sceneparts/tree10/leaves.010.obj deleted file mode 100644 index 7ddcb2275..000000000 --- a/data/sceneparts/tree10/leaves.010.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.010 -v 0.253563 0.005758 0.675257 -v 0.270030 -0.016973 0.666666 -v 0.307972 -0.036719 0.693769 -v 0.273369 0.000172 0.696189 -v 0.291506 -0.013988 0.702360 -v 0.288166 -0.031132 0.672836 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6410 -0.6300 0.4384 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.011.obj b/data/sceneparts/tree10/leaves.011.obj deleted file mode 100644 index 24df48747..000000000 --- a/data/sceneparts/tree10/leaves.011.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.011 -v 0.258971 0.004457 0.673761 -v 0.279674 -0.007651 0.674293 -v 0.314785 0.006731 0.690816 -v 0.275477 0.018081 0.684599 -v 0.294082 0.018839 0.690284 -v 0.298279 -0.006893 0.679978 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2537 -0.3950 0.8829 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.012.obj b/data/sceneparts/tree10/leaves.012.obj deleted file mode 100644 index 6050c8aa8..000000000 --- a/data/sceneparts/tree10/leaves.012.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.012 -v 0.125589 0.198138 0.664772 -v 0.129741 0.242621 0.673861 -v 0.069383 0.292757 0.679211 -v 0.083966 0.216734 0.665309 -v 0.065230 0.248274 0.670122 -v 0.111005 0.274161 0.678674 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0736 -0.1930 0.9784 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.013.obj b/data/sceneparts/tree10/leaves.013.obj deleted file mode 100644 index 618e97657..000000000 --- a/data/sceneparts/tree10/leaves.013.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.013 -v 0.122728 0.207711 0.663388 -v 0.143687 0.231466 0.672026 -v 0.132605 0.286889 0.668288 -v 0.108354 0.236740 0.658017 -v 0.111647 0.263133 0.659651 -v 0.146979 0.257859 0.673659 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3700 -0.0113 0.9290 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.014.obj b/data/sceneparts/tree10/leaves.014.obj deleted file mode 100644 index 7eb08e383..000000000 --- a/data/sceneparts/tree10/leaves.014.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.014 -v 0.119868 0.217283 0.662004 -v 0.125085 0.239865 0.666379 -v 0.102026 0.271421 0.655069 -v 0.102756 0.230793 0.653006 -v 0.096809 0.248839 0.650694 -v 0.119137 0.257911 0.664068 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4972 -0.0529 0.8660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.015.obj b/data/sceneparts/tree10/leaves.015.obj deleted file mode 100644 index 7848519e7..000000000 --- a/data/sceneparts/tree10/leaves.015.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.015 -v 0.125589 0.198138 0.664772 -v 0.151399 0.242467 0.688577 -v 0.117634 0.333949 0.685912 -v 0.094476 0.244350 0.655060 -v 0.091824 0.289620 0.662107 -v 0.148747 0.287738 0.695624 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5047 -0.1616 0.8480 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.016.obj b/data/sceneparts/tree10/leaves.016.obj deleted file mode 100644 index 3fa570bce..000000000 --- a/data/sceneparts/tree10/leaves.016.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.016 -v 0.129213 0.206653 0.660896 -v 0.158075 0.230065 0.668155 -v 0.157978 0.294038 0.654949 -v 0.119528 0.241497 0.649673 -v 0.129116 0.270625 0.647691 -v 0.167664 0.259194 0.666173 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3792 0.1865 0.9063 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.017.obj b/data/sceneparts/tree10/leaves.017.obj deleted file mode 100644 index 54d14dc9b..000000000 --- a/data/sceneparts/tree10/leaves.017.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.017 -v 0.129376 0.207035 0.660722 -v 0.183055 0.245504 0.643331 -v 0.137823 0.233245 0.655381 -v 0.156714 0.206471 0.654468 -v 0.174608 0.219294 0.648671 -v 0.155717 0.246068 0.649584 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.2237 0.1249 0.9666 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.018.obj b/data/sceneparts/tree10/leaves.018.obj deleted file mode 100644 index bdb872985..000000000 --- a/data/sceneparts/tree10/leaves.018.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.018 -v -0.129635 0.222040 0.695516 -v -0.199441 0.347108 0.713194 -v -0.125625 0.280771 0.688558 -v -0.180181 0.246688 0.714260 -v -0.203450 0.288377 0.720153 -v -0.148894 0.322461 0.694450 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.3818 0.0830 0.9205 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.019.obj b/data/sceneparts/tree10/leaves.019.obj deleted file mode 100644 index 46ada2b79..000000000 --- a/data/sceneparts/tree10/leaves.019.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.019 -v -0.134166 0.226011 0.696082 -v -0.166292 0.266948 0.700517 -v -0.255442 0.263355 0.688015 -v -0.182890 0.209970 0.686269 -v -0.223315 0.222418 0.683580 -v -0.206718 0.279396 0.697828 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1278 -0.2054 0.9703 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.020.obj b/data/sceneparts/tree10/leaves.020.obj deleted file mode 100644 index 799182444..000000000 --- a/data/sceneparts/tree10/leaves.020.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.020 -v -0.138511 0.229819 0.696626 -v -0.154875 0.277286 0.693856 -v -0.235602 0.300150 0.671833 -v -0.186874 0.229239 0.682867 -v -0.219237 0.252683 0.674603 -v -0.187239 0.300730 0.685592 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2730 -0.0380 0.9613 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.021.obj b/data/sceneparts/tree10/leaves.021.obj deleted file mode 100644 index 8196820b0..000000000 --- a/data/sceneparts/tree10/leaves.021.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.021 -v -0.142856 0.233626 0.697169 -v -0.176265 0.326819 0.706346 -v -0.132135 0.271907 0.706516 -v -0.175850 0.257474 0.693940 -v -0.186987 0.288538 0.696999 -v -0.143271 0.302971 0.709575 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2191 -0.1731 0.9602 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.022.obj b/data/sceneparts/tree10/leaves.022.obj deleted file mode 100644 index 94f25c78c..000000000 --- a/data/sceneparts/tree10/leaves.022.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.022 -v -0.147201 0.237434 0.697712 -v -0.154898 0.266364 0.687390 -v -0.199531 0.277848 0.658066 -v -0.174391 0.235446 0.681603 -v -0.191834 0.248918 0.668387 -v -0.172341 0.279836 0.674175 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5116 0.1647 0.8433 -vn -0.5117 0.1647 0.8433 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.023.obj b/data/sceneparts/tree10/leaves.023.obj deleted file mode 100644 index a0f5c194a..000000000 --- a/data/sceneparts/tree10/leaves.023.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.023 -v -0.151547 0.241242 0.698255 -v -0.167668 0.258877 0.704446 -v -0.209668 0.252908 0.708099 -v -0.174173 0.231384 0.698626 -v -0.193546 0.235273 0.701907 -v -0.187042 0.262765 0.707728 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1170 -0.2321 0.9656 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.024.obj b/data/sceneparts/tree10/leaves.024.obj deleted file mode 100644 index 65c8832da..000000000 --- a/data/sceneparts/tree10/leaves.024.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.024 -v 0.052641 0.214828 0.695555 -v 0.089435 0.243407 0.683057 -v 0.085631 0.326480 0.680160 -v 0.037840 0.260683 0.697789 -v 0.048837 0.297901 0.692657 -v 0.100432 0.280624 0.677926 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2886 0.0466 0.9563 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.025.obj b/data/sceneparts/tree10/leaves.025.obj deleted file mode 100644 index ce2ccb83f..000000000 --- a/data/sceneparts/tree10/leaves.025.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.025 -v 0.053358 0.221500 0.694643 -v 0.121991 0.320832 0.646091 -v 0.099331 0.248483 0.698570 -v 0.053140 0.260739 0.658348 -v 0.076017 0.293849 0.642164 -v 0.122209 0.281593 0.682386 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.4183 0.6155 0.6679 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.026.obj b/data/sceneparts/tree10/leaves.026.obj deleted file mode 100644 index a3b8a6879..000000000 --- a/data/sceneparts/tree10/leaves.026.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.026 -v 0.053992 0.227402 0.693837 -v 0.068308 0.258421 0.675141 -v 0.035134 0.293109 0.628136 -v 0.027105 0.240188 0.668733 -v 0.020818 0.262090 0.646832 -v 0.062021 0.280324 0.653241 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3752 0.5994 0.7071 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.027.obj b/data/sceneparts/tree10/leaves.027.obj deleted file mode 100644 index 6c286e431..000000000 --- a/data/sceneparts/tree10/leaves.027.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.027 -v 0.054691 0.233903 0.692949 -v 0.070234 0.264650 0.696855 -v 0.030584 0.257457 0.701091 -v 0.041845 0.315353 0.711022 -v 0.065952 0.291800 0.702879 -v 0.026302 0.284607 0.707116 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1389 -0.1936 0.9712 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.028.obj b/data/sceneparts/tree10/leaves.028.obj deleted file mode 100644 index 3f65e8ff9..000000000 --- a/data/sceneparts/tree10/leaves.028.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.028 -v 0.055353 0.240062 0.692108 -v 0.077373 0.247540 0.683091 -v 0.083157 0.282823 0.659155 -v 0.051869 0.261092 0.679156 -v 0.061137 0.275345 0.668172 -v 0.086641 0.261794 0.672107 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1572 0.5366 0.8290 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.029.obj b/data/sceneparts/tree10/leaves.029.obj deleted file mode 100644 index 2bf2974f5..000000000 --- a/data/sceneparts/tree10/leaves.029.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.029 -v 0.157887 0.152518 0.761720 -v 0.205134 0.110281 0.752226 -v 0.307334 0.120555 0.793083 -v 0.210271 0.173446 0.792123 -v 0.260087 0.162792 0.802577 -v 0.254950 0.099627 0.762681 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2787 -0.4966 0.8220 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.030.obj b/data/sceneparts/tree10/leaves.030.obj deleted file mode 100644 index 56c1f15f0..000000000 --- a/data/sceneparts/tree10/leaves.030.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.030 -v 0.159794 0.152828 0.763160 -v 0.200618 0.146972 0.747587 -v 0.260238 0.190560 0.765718 -v 0.185932 0.183839 0.780438 -v 0.219414 0.196417 0.781290 -v 0.234099 0.159550 0.748440 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2071 -0.6036 0.7699 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.031.obj b/data/sceneparts/tree10/leaves.031.obj deleted file mode 100644 index 5de1f0e23..000000000 --- a/data/sceneparts/tree10/leaves.031.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.031 -v 0.161848 0.153162 0.764710 -v 0.206626 0.154906 0.775393 -v 0.173823 0.197291 0.770323 -v 0.246977 0.221971 0.789153 -v 0.235002 0.177842 0.783541 -v 0.202199 0.220227 0.778471 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2294 -0.0613 0.9714 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.032.obj b/data/sceneparts/tree10/leaves.032.obj deleted file mode 100644 index da1fc7373..000000000 --- a/data/sceneparts/tree10/leaves.032.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.032 -v 0.163622 0.153451 0.766050 -v 0.204965 0.149176 0.767325 -v 0.251359 0.203839 0.769555 -v 0.180771 0.191318 0.767111 -v 0.210016 0.208114 0.768279 -v 0.234210 0.165972 0.768493 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0322 -0.0134 0.9994 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.033.obj b/data/sceneparts/tree10/leaves.033.obj deleted file mode 100644 index ae1ed61ae..000000000 --- a/data/sceneparts/tree10/leaves.033.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.033 -v 0.165663 0.153783 0.767590 -v 0.194268 0.137822 0.747044 -v 0.255346 0.163897 0.740818 -v 0.196847 0.176486 0.770288 -v 0.226741 0.179858 0.761364 -v 0.224162 0.141194 0.738120 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2986 -0.5063 0.8090 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.034.obj b/data/sceneparts/tree10/leaves.034.obj deleted file mode 100644 index 072034eaf..000000000 --- a/data/sceneparts/tree10/leaves.034.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.034 -v 0.167477 0.154078 0.768960 -v 0.186090 0.122941 0.773385 -v 0.246928 0.119761 0.789594 -v 0.201831 0.162336 0.778291 -v 0.228315 0.150897 0.785169 -v 0.212574 0.111502 0.780263 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2583 -0.0171 0.9659 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.035.obj b/data/sceneparts/tree10/leaves.035.obj deleted file mode 100644 index 181ded1c7..000000000 --- a/data/sceneparts/tree10/leaves.035.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.035 -v 0.169411 0.154392 0.770420 -v 0.194229 0.151365 0.775338 -v 0.226605 0.163144 0.748039 -v 0.182722 0.163255 0.750580 -v 0.201787 0.166172 0.743120 -v 0.213294 0.154282 0.767878 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0268 0.9059 0.4226 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.036.obj b/data/sceneparts/tree10/leaves.036.obj deleted file mode 100644 index 1e63aa39a..000000000 --- a/data/sceneparts/tree10/leaves.036.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.036 -v -0.077326 0.230536 0.721507 -v -0.126769 0.335592 0.822985 -v -0.128547 0.260539 0.743600 -v -0.059067 0.270571 0.767067 -v -0.075548 0.305589 0.800893 -v -0.145027 0.295558 0.777426 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.1268 -0.7194 0.6830 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.037.obj b/data/sceneparts/tree10/leaves.037.obj deleted file mode 100644 index c3d23ae58..000000000 --- a/data/sceneparts/tree10/leaves.037.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.037 -v -0.076690 0.233963 0.723813 -v -0.071973 0.358974 0.671639 -v -0.047609 0.268072 0.690791 -v -0.102627 0.283195 0.722052 -v -0.101055 0.324865 0.704661 -v -0.046037 0.309742 0.673400 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.5326 0.3088 0.7880 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.038.obj b/data/sceneparts/tree10/leaves.038.obj deleted file mode 100644 index bf1368b64..000000000 --- a/data/sceneparts/tree10/leaves.038.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.038 -v -0.076081 0.237250 0.726025 -v -0.032673 0.239409 0.732512 -v 0.003013 0.298061 0.764644 -v -0.066759 0.275631 0.745284 -v -0.040394 0.295902 0.758157 -v -0.006309 0.259679 0.745385 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1133 -0.4235 0.8988 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.039.obj b/data/sceneparts/tree10/leaves.039.obj deleted file mode 100644 index c4940135d..000000000 --- a/data/sceneparts/tree10/leaves.039.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.039 -v -0.075471 0.240536 0.728236 -v -0.084771 0.312466 0.773161 -v -0.058822 0.263727 0.748559 -v -0.098321 0.265300 0.737863 -v -0.101421 0.289276 0.752838 -v -0.061922 0.287703 0.763534 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2404 -0.5364 0.8090 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.040.obj b/data/sceneparts/tree10/leaves.040.obj deleted file mode 100644 index 9a0b6aa0c..000000000 --- a/data/sceneparts/tree10/leaves.040.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.040 -v -0.074862 0.243823 0.730447 -v -0.071508 0.268011 0.704221 -v -0.112901 0.312255 0.691955 -v -0.103575 0.265256 0.731013 -v -0.116255 0.288067 0.718182 -v -0.084188 0.290822 0.691390 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4728 0.6168 0.6293 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.041.obj b/data/sceneparts/tree10/leaves.041.obj deleted file mode 100644 index 52d7f0134..000000000 --- a/data/sceneparts/tree10/leaves.041.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.041 -v -0.074252 0.247110 0.732659 -v -0.054657 0.242258 0.752904 -v -0.040369 0.275485 0.786433 -v -0.071259 0.270878 0.748263 -v -0.059965 0.280336 0.766188 -v -0.043363 0.251716 0.770829 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.7184 -0.3163 0.6196 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.042.obj b/data/sceneparts/tree10/leaves.042.obj deleted file mode 100644 index 7944b314b..000000000 --- a/data/sceneparts/tree10/leaves.042.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.042 -v -0.050713 -0.127816 0.745462 -v -0.096892 -0.139822 0.750212 -v -0.126033 -0.191971 0.807424 -v -0.054746 -0.158581 0.782021 -v -0.079853 -0.179965 0.802675 -v -0.121999 -0.161207 0.770866 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1343 0.7655 0.6293 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.043.obj b/data/sceneparts/tree10/leaves.043.obj deleted file mode 100644 index d43ffbb7d..000000000 --- a/data/sceneparts/tree10/leaves.043.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.043 -v -0.053315 -0.132069 0.746207 -v -0.084160 -0.164417 0.737088 -v -0.077232 -0.217549 0.679456 -v -0.038414 -0.156707 0.710825 -v -0.046387 -0.185201 0.688574 -v -0.092133 -0.192910 0.714838 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4661 -0.6219 0.6293 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.044.obj b/data/sceneparts/tree10/leaves.044.obj deleted file mode 100644 index 7e6ffaf70..000000000 --- a/data/sceneparts/tree10/leaves.044.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.044 -v -0.055890 -0.136277 0.746944 -v -0.091064 -0.139138 0.758051 -v -0.114290 -0.187784 0.792215 -v -0.059649 -0.167753 0.766019 -v -0.079116 -0.184922 0.781109 -v -0.110531 -0.156307 0.773141 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2273 0.4847 0.8446 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.045.obj b/data/sceneparts/tree10/leaves.045.obj deleted file mode 100644 index 0ca1a5ce9..000000000 --- a/data/sceneparts/tree10/leaves.045.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.045 -v -0.058358 -0.140309 0.747651 -v -0.069406 -0.159429 0.736412 -v -0.082559 -0.139606 0.752920 -v -0.111232 -0.167936 0.738696 -v -0.087030 -0.168638 0.733427 -v -0.100184 -0.148816 0.749935 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1595 -0.5671 0.8081 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.046.obj b/data/sceneparts/tree10/leaves.046.obj deleted file mode 100644 index 37ed2cf72..000000000 --- a/data/sceneparts/tree10/leaves.046.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.046 -v -0.105892 -0.243496 0.764096 -v -0.144507 -0.290733 0.749875 -v -0.115386 -0.394768 0.747077 -v -0.073606 -0.297107 0.766972 -v -0.076771 -0.347531 0.761299 -v -0.147672 -0.341157 0.744202 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2413 -0.0935 0.9659 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.047.obj b/data/sceneparts/tree10/leaves.047.obj deleted file mode 100644 index 2f3a706f0..000000000 --- a/data/sceneparts/tree10/leaves.047.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.047 -v -0.107001 -0.245584 0.764843 -v -0.130188 -0.261276 0.800768 -v -0.120962 -0.332867 0.831798 -v -0.093122 -0.288081 0.773554 -v -0.097776 -0.317175 0.795872 -v -0.134842 -0.290370 0.823087 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.7065 0.3561 0.6116 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.048.obj b/data/sceneparts/tree10/leaves.048.obj deleted file mode 100644 index 8438ef4b5..000000000 --- a/data/sceneparts/tree10/leaves.048.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.048 -v -0.108064 -0.247586 0.765560 -v -0.149175 -0.258444 0.755895 -v -0.188897 -0.311101 0.792054 -v -0.120842 -0.279070 0.792887 -v -0.147787 -0.300242 0.801719 -v -0.176119 -0.279616 0.764726 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3333 0.6915 0.6409 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.049.obj b/data/sceneparts/tree10/leaves.049.obj deleted file mode 100644 index 91f5c3c6d..000000000 --- a/data/sceneparts/tree10/leaves.049.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.049 -v -0.109128 -0.249587 0.766276 -v -0.144543 -0.260932 0.749620 -v -0.184402 -0.313838 0.773137 -v -0.123896 -0.281076 0.787506 -v -0.148987 -0.302493 0.789793 -v -0.169634 -0.282349 0.751907 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4860 0.6337 0.6018 -vn -0.4861 0.6337 0.6018 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.050.obj b/data/sceneparts/tree10/leaves.050.obj deleted file mode 100644 index 4429f9182..000000000 --- a/data/sceneparts/tree10/leaves.050.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.050 -v -0.110192 -0.251589 0.766993 -v -0.114444 -0.329470 0.761190 -v -0.096598 -0.277530 0.753789 -v -0.126621 -0.277569 0.776328 -v -0.128039 -0.303530 0.774394 -v -0.098015 -0.303490 0.751855 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.5979 -0.0920 0.7963 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.051.obj b/data/sceneparts/tree10/leaves.051.obj deleted file mode 100644 index 854cca014..000000000 --- a/data/sceneparts/tree10/leaves.051.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.051 -v -0.111255 -0.253591 0.767709 -v -0.133486 -0.256461 0.788013 -v -0.137449 -0.295781 0.822073 -v -0.106487 -0.278847 0.783648 -v -0.115219 -0.292911 0.801770 -v -0.142217 -0.270524 0.806134 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.5384 0.5201 0.6630 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.052.obj b/data/sceneparts/tree10/leaves.052.obj deleted file mode 100644 index de08053b5..000000000 --- a/data/sceneparts/tree10/leaves.052.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.052 -v 0.236003 0.139824 0.783288 -v 0.357497 0.152956 0.779541 -v 0.273809 0.171826 0.791555 -v 0.279194 0.116576 0.772522 -v 0.319692 0.120954 0.771273 -v 0.314307 0.176204 0.790306 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0637 -0.3195 0.9454 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.053.obj b/data/sceneparts/tree10/leaves.053.obj deleted file mode 100644 index 244d0db50..000000000 --- a/data/sceneparts/tree10/leaves.053.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.053 -v 0.241794 0.143917 0.784924 -v 0.289571 0.142683 0.773319 -v 0.333228 0.208651 0.742661 -v 0.254974 0.188307 0.768353 -v 0.285452 0.209885 0.754265 -v 0.320049 0.164261 0.759232 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2335 0.2785 0.9316 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.054.obj b/data/sceneparts/tree10/leaves.054.obj deleted file mode 100644 index 3f19bc02a..000000000 --- a/data/sceneparts/tree10/leaves.054.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.054 -v 0.247347 0.147843 0.786493 -v 0.288597 0.173115 0.794065 -v 0.291958 0.256707 0.805717 -v 0.235838 0.195146 0.791737 -v 0.250708 0.231434 0.798145 -v 0.303467 0.209403 0.800473 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0992 -0.1335 0.9861 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.055.obj b/data/sceneparts/tree10/leaves.055.obj deleted file mode 100644 index 1b9e2402b..000000000 --- a/data/sceneparts/tree10/leaves.055.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.055 -v 0.252900 0.151768 0.788062 -v 0.290119 0.148325 0.806217 -v 0.320991 0.199740 0.845482 -v 0.261075 0.187192 0.808186 -v 0.283772 0.203183 0.827327 -v 0.312816 0.164315 0.825357 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4351 -0.3668 0.8223 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.056.obj b/data/sceneparts/tree10/leaves.056.obj deleted file mode 100644 index 59e2d962e..000000000 --- a/data/sceneparts/tree10/leaves.056.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.056 -v 0.258453 0.155694 0.789631 -v 0.335635 0.153605 0.795815 -v 0.285193 0.172267 0.784888 -v 0.283168 0.137727 0.798496 -v 0.308895 0.137031 0.800557 -v 0.310920 0.171571 0.786950 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0643 0.3690 0.9272 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.057.obj b/data/sceneparts/tree10/leaves.057.obj deleted file mode 100644 index e6840be9a..000000000 --- a/data/sceneparts/tree10/leaves.057.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.057 -v 0.264006 0.159619 0.791199 -v 0.291792 0.160243 0.803263 -v 0.307229 0.193822 0.840220 -v 0.265035 0.181797 0.811816 -v 0.279443 0.193198 0.828157 -v 0.306199 0.171644 0.819603 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2925 -0.6438 0.7071 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.058.obj b/data/sceneparts/tree10/leaves.058.obj deleted file mode 100644 index e31f7ac65..000000000 --- a/data/sceneparts/tree10/leaves.058.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.058 -v 0.252150 0.037246 0.830063 -v 0.287242 0.006789 0.843370 -v 0.366746 0.028819 0.855436 -v 0.293456 0.062085 0.833672 -v 0.331654 0.059276 0.842130 -v 0.325441 0.003980 0.851828 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1988 0.1909 0.9613 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.059.obj b/data/sceneparts/tree10/leaves.059.obj deleted file mode 100644 index 917c8690e..000000000 --- a/data/sceneparts/tree10/leaves.059.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.059 -v 0.258836 0.034820 0.834502 -v 0.253460 -0.012781 0.846304 -v 0.312416 -0.059451 0.886171 -v 0.299932 0.019574 0.857146 -v 0.317792 -0.011850 0.874369 -v 0.271320 -0.044205 0.863527 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3890 0.2629 0.8829 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.060.obj b/data/sceneparts/tree10/leaves.060.obj deleted file mode 100644 index fbddb43e4..000000000 --- a/data/sceneparts/tree10/leaves.060.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.060 -v 0.264179 0.031110 0.839672 -v 0.261164 0.000884 0.841274 -v 0.270324 -0.027616 0.884371 -v 0.271291 0.022186 0.867869 -v 0.273339 0.002610 0.882769 -v 0.263212 -0.018692 0.856173 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.9550 0.1099 0.2756 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.061.obj b/data/sceneparts/tree10/leaves.061.obj deleted file mode 100644 index cca8ded83..000000000 --- a/data/sceneparts/tree10/leaves.061.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.061 -v 0.266811 0.027926 0.843462 -v 0.277119 0.012894 0.865075 -v 0.294587 0.024430 0.839514 -v 0.323936 0.000134 0.869959 -v 0.313629 0.015166 0.848346 -v 0.296161 0.003630 0.873907 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1780 0.8456 0.5032 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.062.obj b/data/sceneparts/tree10/leaves.062.obj deleted file mode 100644 index 7957d04ea..000000000 --- a/data/sceneparts/tree10/leaves.062.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.062 -v 0.265649 0.033188 0.838255 -v 0.340331 0.021604 0.883281 -v 0.294485 0.050032 0.852051 -v 0.286600 0.008620 0.854476 -v 0.311494 0.004759 0.869485 -v 0.319379 0.046171 0.867060 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.4944 0.1443 0.8572 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.063.obj b/data/sceneparts/tree10/leaves.063.obj deleted file mode 100644 index a9780b13d..000000000 --- a/data/sceneparts/tree10/leaves.063.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.063 -v 0.273510 0.032782 0.841232 -v 0.286742 0.010993 0.832183 -v 0.328047 -0.003429 0.848410 -v 0.296636 0.030429 0.855066 -v 0.314815 0.018359 0.857458 -v 0.304921 -0.001077 0.834576 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4650 -0.5654 0.6813 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.064.obj b/data/sceneparts/tree10/leaves.064.obj deleted file mode 100644 index aacfb0655..000000000 --- a/data/sceneparts/tree10/leaves.064.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.064 -v -0.172062 0.134081 0.914583 -v -0.126098 0.170491 0.901081 -v -0.104285 0.258634 0.951371 -v -0.172841 0.180707 0.952610 -v -0.150248 0.222224 0.964873 -v -0.103506 0.212008 0.913344 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.5866 -0.5060 0.6324 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.065.obj b/data/sceneparts/tree10/leaves.065.obj deleted file mode 100644 index d000a8d85..000000000 --- a/data/sceneparts/tree10/leaves.065.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.065 -v -0.171482 0.135666 0.916282 -v -0.196899 0.181698 0.929129 -v -0.134994 0.175627 0.917626 -v -0.154877 0.264656 0.937568 -v -0.191365 0.224695 0.936224 -v -0.129459 0.218624 0.924721 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1625 -0.1810 0.9700 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.066.obj b/data/sceneparts/tree10/leaves.066.obj deleted file mode 100644 index b81c91f85..000000000 --- a/data/sceneparts/tree10/leaves.066.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.066 -v -0.170925 0.137185 0.917911 -v -0.202607 0.152678 0.932268 -v -0.161334 0.168533 0.937281 -v -0.204061 0.207446 0.968501 -v -0.172379 0.191954 0.954144 -v -0.213653 0.176098 0.949131 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1091 -0.5464 0.8304 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.067.obj b/data/sceneparts/tree10/leaves.067.obj deleted file mode 100644 index 5a88e626a..000000000 --- a/data/sceneparts/tree10/leaves.067.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.067 -v -0.170369 0.138704 0.919541 -v -0.157094 0.134483 0.951207 -v -0.169720 0.169280 0.998017 -v -0.183211 0.163310 0.940192 -v -0.182994 0.173502 0.966351 -v -0.156877 0.144674 0.977366 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.7633 -0.5998 0.2400 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.068.obj b/data/sceneparts/tree10/leaves.068.obj deleted file mode 100644 index f0c97edbf..000000000 --- a/data/sceneparts/tree10/leaves.068.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.068 -v -0.169812 0.140224 0.921170 -v -0.166587 0.170517 0.917577 -v -0.140569 0.147624 0.926745 -v -0.121110 0.196764 0.924143 -v -0.150353 0.189364 0.918568 -v -0.124335 0.166471 0.927736 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2190 0.1379 0.9659 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.069.obj b/data/sceneparts/tree10/leaves.069.obj deleted file mode 100644 index 51e441ecd..000000000 --- a/data/sceneparts/tree10/leaves.069.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.069 -v -0.169255 0.141743 0.922799 -v -0.148732 0.152744 0.934734 -v -0.141833 0.197243 0.937833 -v -0.171497 0.167743 0.920886 -v -0.162357 0.186243 0.925898 -v -0.139591 0.171244 0.939746 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5103 0.0193 0.8598 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.070.obj b/data/sceneparts/tree10/leaves.070.obj deleted file mode 100644 index 61b2dc2f6..000000000 --- a/data/sceneparts/tree10/leaves.070.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.070 -v -0.305714 -0.062161 0.807777 -v -0.366630 -0.073595 0.802618 -v -0.409947 -0.171715 0.799952 -v -0.314286 -0.123762 0.807719 -v -0.349030 -0.160280 0.805110 -v -0.401375 -0.110113 0.800009 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0864 0.0111 0.9962 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.071.obj b/data/sceneparts/tree10/leaves.071.obj deleted file mode 100644 index f07d85701..000000000 --- a/data/sceneparts/tree10/leaves.071.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.071 -v -0.311300 -0.064209 0.808153 -v -0.354246 -0.047277 0.812774 -v -0.413534 -0.084261 0.851788 -v -0.336510 -0.094509 0.832623 -v -0.370588 -0.101193 0.847168 -v -0.388324 -0.053961 0.827319 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2716 0.4577 0.8466 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.072.obj b/data/sceneparts/tree10/leaves.072.obj deleted file mode 100644 index 014f2f846..000000000 --- a/data/sceneparts/tree10/leaves.072.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.072 -v -0.317316 -0.066415 0.808559 -v -0.345177 -0.036858 0.810973 -v -0.414278 -0.046732 0.803588 -v -0.354096 -0.082850 0.802831 -v -0.386417 -0.076289 0.801174 -v -0.377498 -0.030297 0.809316 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0826 -0.1582 0.9840 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.073.obj b/data/sceneparts/tree10/leaves.073.obj deleted file mode 100644 index 178c3782a..000000000 --- a/data/sceneparts/tree10/leaves.073.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.073 -v -0.322512 -0.068320 0.808909 -v -0.362110 -0.067699 0.807549 -v -0.399783 -0.102164 0.762100 -v -0.334428 -0.091504 0.779063 -v -0.360185 -0.102785 0.763460 -v -0.387867 -0.078980 0.791946 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0336 -0.7827 0.6214 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.074.obj b/data/sceneparts/tree10/leaves.074.obj deleted file mode 100644 index 3d046b700..000000000 --- a/data/sceneparts/tree10/leaves.074.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.074 -v -0.328489 -0.070512 0.809312 -v -0.359749 -0.067380 0.827372 -v -0.398334 -0.114969 0.839787 -v -0.343792 -0.103282 0.811569 -v -0.367074 -0.118101 0.821727 -v -0.383031 -0.082199 0.837530 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4809 -0.1653 0.8611 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.075.obj b/data/sceneparts/tree10/leaves.075.obj deleted file mode 100644 index 943622b5c..000000000 --- a/data/sceneparts/tree10/leaves.075.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.075 -v -0.333802 -0.072460 0.809671 -v -0.355085 -0.045417 0.812766 -v -0.413806 -0.049620 0.822090 -v -0.365855 -0.084277 0.814855 -v -0.392523 -0.076663 0.818994 -v -0.381753 -0.037803 0.816905 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1561 0.0098 0.9877 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.076.obj b/data/sceneparts/tree10/leaves.076.obj deleted file mode 100644 index c2d41e8db..000000000 --- a/data/sceneparts/tree10/leaves.076.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.076 -v -0.339466 -0.074537 0.810053 -v -0.365568 -0.070021 0.808448 -v -0.394167 -0.092904 0.780987 -v -0.349832 -0.091298 0.792279 -v -0.368066 -0.097421 0.782591 -v -0.383802 -0.076143 0.798760 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1604 -0.6697 0.7251 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.077.obj b/data/sceneparts/tree10/leaves.077.obj deleted file mode 100644 index 764be2033..000000000 --- a/data/sceneparts/tree10/leaves.077.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.077 -v -0.234522 -0.129441 0.872244 -v -0.200354 -0.170536 0.865081 -v -0.262266 -0.175549 0.875691 -v -0.224886 -0.260247 0.866670 -v -0.197142 -0.214138 0.863223 -v -0.259054 -0.219151 0.873833 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1711 -0.0294 0.9848 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.078.obj b/data/sceneparts/tree10/leaves.078.obj deleted file mode 100644 index 1c7f85edd..000000000 --- a/data/sceneparts/tree10/leaves.078.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.078 -v -0.236262 -0.131513 0.874466 -v -0.277864 -0.150283 0.904556 -v -0.282089 -0.236907 0.941589 -v -0.225211 -0.183005 0.889125 -v -0.240487 -0.218137 0.911500 -v -0.293140 -0.185415 0.926930 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4496 0.3325 0.8290 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.079.obj b/data/sceneparts/tree10/leaves.079.obj deleted file mode 100644 index b78f71fbe..000000000 --- a/data/sceneparts/tree10/leaves.079.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.079 -v -0.237930 -0.133500 0.876597 -v -0.249824 -0.151558 0.915968 -v -0.281850 -0.126435 0.882824 -v -0.321650 -0.149989 0.944995 -v -0.277730 -0.157054 0.938767 -v -0.309757 -0.131931 0.905623 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.2041 0.8650 0.4584 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.080.obj b/data/sceneparts/tree10/leaves.080.obj deleted file mode 100644 index e065eaeb9..000000000 --- a/data/sceneparts/tree10/leaves.080.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.080 -v -0.239598 -0.135487 0.878728 -v -0.274142 -0.133993 0.875935 -v -0.311536 -0.176500 0.895314 -v -0.253013 -0.164323 0.892577 -v -0.276992 -0.177994 0.898106 -v -0.298121 -0.147665 0.881464 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0524 0.4521 0.8904 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.081.obj b/data/sceneparts/tree10/leaves.081.obj deleted file mode 100644 index f75fdbec6..000000000 --- a/data/sceneparts/tree10/leaves.081.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.081 -v -0.241266 -0.137474 0.880858 -v -0.235318 -0.173015 0.886258 -v -0.269633 -0.151304 0.899073 -v -0.274894 -0.211530 0.916279 -v -0.246527 -0.197700 0.898065 -v -0.280843 -0.175989 0.910880 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.4548 0.2077 0.8660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.082.obj b/data/sceneparts/tree10/leaves.082.obj deleted file mode 100644 index 6d2fab3fc..000000000 --- a/data/sceneparts/tree10/leaves.082.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.082 -v -0.242935 -0.139461 0.882989 -v -0.265792 -0.151024 0.865288 -v -0.230486 -0.150163 0.856533 -v -0.258547 -0.172858 0.816753 -v -0.235690 -0.161295 0.834454 -v -0.270996 -0.162156 0.843210 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1267 -0.8974 0.4226 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.083.obj b/data/sceneparts/tree10/leaves.083.obj deleted file mode 100644 index 6527d9674..000000000 --- a/data/sceneparts/tree10/leaves.083.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.083 -v -0.238174 0.136660 0.897753 -v -0.296868 0.152772 0.888107 -v -0.244273 0.196693 0.910265 -v -0.335364 0.250877 0.902052 -v -0.329265 0.190844 0.889540 -v -0.276670 0.234765 0.911698 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2168 -0.2202 0.9511 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.084.obj b/data/sceneparts/tree10/leaves.084.obj deleted file mode 100644 index 92ddb7387..000000000 --- a/data/sceneparts/tree10/leaves.084.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.084 -v -0.243222 0.140567 0.900049 -v -0.302240 0.252696 0.904268 -v -0.244181 0.188602 0.879960 -v -0.281609 0.167284 0.922950 -v -0.301281 0.204661 0.924356 -v -0.263853 0.225978 0.881367 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.6364 0.3084 0.7070 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.085.obj b/data/sceneparts/tree10/leaves.085.obj deleted file mode 100644 index 3b7a3b055..000000000 --- a/data/sceneparts/tree10/leaves.085.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.085 -v -0.248659 0.144773 0.902521 -v -0.249117 0.186854 0.922576 -v -0.299458 0.208680 0.981368 -v -0.282068 0.145297 0.935030 -v -0.299001 0.166599 0.961313 -v -0.266050 0.208157 0.948858 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.6587 -0.3179 0.6820 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.086.obj b/data/sceneparts/tree10/leaves.086.obj deleted file mode 100644 index c14f61c00..000000000 --- a/data/sceneparts/tree10/leaves.086.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.086 -v -0.253355 0.148406 0.904656 -v -0.283615 0.174218 0.908691 -v -0.343983 0.169009 0.875763 -v -0.283514 0.136330 0.881359 -v -0.313724 0.143198 0.871728 -v -0.313824 0.181086 0.899060 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3646 -0.5454 0.7547 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.087.obj b/data/sceneparts/tree10/leaves.087.obj deleted file mode 100644 index ed5797073..000000000 --- a/data/sceneparts/tree10/leaves.087.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.087 -v -0.258757 0.152586 0.907112 -v -0.264208 0.189782 0.887367 -v -0.326372 0.228513 0.888386 -v -0.298383 0.166009 0.914373 -v -0.320921 0.191318 0.908131 -v -0.286746 0.215091 0.881125 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3129 0.4807 0.8192 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.088.obj b/data/sceneparts/tree10/leaves.088.obj deleted file mode 100644 index 136dc517a..000000000 --- a/data/sceneparts/tree10/leaves.088.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.088 -v -0.263559 0.156301 0.909295 -v -0.255496 0.186184 0.911981 -v -0.289482 0.227319 0.906980 -v -0.288903 0.173764 0.905066 -v -0.297545 0.197437 0.904294 -v -0.264137 0.209857 0.911210 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1893 -0.0371 0.9812 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.089.obj b/data/sceneparts/tree10/leaves.089.obj deleted file mode 100644 index 741dc6f1b..000000000 --- a/data/sceneparts/tree10/leaves.089.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.089 -v -0.268678 0.160262 0.911623 -v -0.284474 0.180753 0.911213 -v -0.327788 0.179035 0.900561 -v -0.292289 0.152286 0.904658 -v -0.311992 0.158544 0.900971 -v -0.304178 0.187011 0.907526 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2299 -0.1580 0.9603 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.090.obj b/data/sceneparts/tree10/leaves.090.obj deleted file mode 100644 index 92e9821c6..000000000 --- a/data/sceneparts/tree10/leaves.090.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.090 -v -0.286364 0.009573 0.843046 -v -0.308237 0.045022 0.877579 -v -0.372246 0.023381 0.941971 -v -0.321745 -0.016670 0.874462 -v -0.350372 -0.012068 0.907438 -v -0.336864 0.049624 0.910554 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.7275 -0.1926 0.6585 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.091.obj b/data/sceneparts/tree10/leaves.091.obj deleted file mode 100644 index dc8d8b328..000000000 --- a/data/sceneparts/tree10/leaves.091.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.091 -v -0.290512 0.013738 0.846542 -v -0.272678 0.044427 0.877874 -v -0.307160 0.115858 0.897344 -v -0.319445 0.051129 0.849078 -v -0.324994 0.085169 0.866012 -v -0.278227 0.078467 0.894808 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5145 -0.4477 0.7314 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.092.obj b/data/sceneparts/tree10/leaves.092.obj deleted file mode 100644 index b088cc0d9..000000000 --- a/data/sceneparts/tree10/leaves.092.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.092 -v -0.294980 0.018222 0.850308 -v -0.297250 0.061291 0.857288 -v -0.354810 0.104974 0.835871 -v -0.332597 0.032988 0.833703 -v -0.352540 0.061906 0.828890 -v -0.317193 0.090208 0.852476 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4520 -0.1659 0.8765 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.093.obj b/data/sceneparts/tree10/leaves.093.obj deleted file mode 100644 index d1701e886..000000000 --- a/data/sceneparts/tree10/leaves.093.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.093 -v -0.298839 0.022095 0.853560 -v -0.316205 0.050575 0.838357 -v -0.372069 0.046860 0.808958 -v -0.330294 0.010125 0.839029 -v -0.354704 0.018380 0.824162 -v -0.340615 0.058830 0.823489 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4675 0.1772 0.8660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.094.obj b/data/sceneparts/tree10/leaves.094.obj deleted file mode 100644 index a00742b16..000000000 --- a/data/sceneparts/tree10/leaves.094.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.094 -v -0.303278 0.026550 0.857301 -v -0.289246 0.063092 0.854334 -v -0.327569 0.118920 0.853861 -v -0.333505 0.051589 0.857975 -v -0.341602 0.082378 0.856829 -v -0.297343 0.093882 0.853187 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0677 0.0549 0.9962 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.095.obj b/data/sceneparts/tree10/leaves.095.obj deleted file mode 100644 index e0cde2a5c..000000000 --- a/data/sceneparts/tree10/leaves.095.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.095 -v -0.307224 0.030511 0.860627 -v -0.301307 0.062660 0.865899 -v -0.336823 0.097968 0.893369 -v -0.332873 0.043333 0.877183 -v -0.342740 0.065819 0.888097 -v -0.311173 0.085146 0.876814 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4469 -0.2243 0.8660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.096.obj b/data/sceneparts/tree10/leaves.096.obj deleted file mode 100644 index b2ec01cd2..000000000 --- a/data/sceneparts/tree10/leaves.096.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.096 -v -0.311431 0.034733 0.864173 -v -0.329340 0.053432 0.851488 -v -0.338231 0.024214 0.865718 -v -0.378495 0.047003 0.847462 -v -0.351694 0.057522 0.845917 -v -0.360586 0.028304 0.860147 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1326 0.4663 0.8746 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.097.obj b/data/sceneparts/tree10/leaves.097.obj deleted file mode 100644 index c7e9bba43..000000000 --- a/data/sceneparts/tree10/leaves.097.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.097 -v 0.051088 -0.107769 0.903508 -v 0.036625 -0.129541 0.946768 -v 0.083452 -0.188926 0.990158 -v 0.087127 -0.140101 0.918015 -v 0.097915 -0.167153 0.946899 -v 0.047413 -0.156594 0.975651 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4469 0.7301 0.5169 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.098.obj b/data/sceneparts/tree10/leaves.098.obj deleted file mode 100644 index 99aac9521..000000000 --- a/data/sceneparts/tree10/leaves.098.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.098 -v 0.052296 -0.111080 0.904692 -v 0.075482 -0.149064 0.899657 -v 0.025672 -0.145488 0.915320 -v 0.047140 -0.219668 0.913082 -v 0.023954 -0.181684 0.918117 -v 0.073763 -0.185260 0.902454 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.3033 0.0591 0.9511 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.099.obj b/data/sceneparts/tree10/leaves.099.obj deleted file mode 100644 index 4f45e963f..000000000 --- a/data/sceneparts/tree10/leaves.099.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.099 -v 0.053491 -0.114357 0.905863 -v 0.051237 -0.154366 0.897803 -v 0.107091 -0.196664 0.889881 -v 0.091479 -0.129220 0.903268 -v 0.109346 -0.156656 0.897941 -v 0.069103 -0.181801 0.892476 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0101 -0.1969 0.9804 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.100.obj b/data/sceneparts/tree10/leaves.100.obj deleted file mode 100644 index 95d9a6b94..000000000 --- a/data/sceneparts/tree10/leaves.100.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.100 -v 0.054636 -0.117497 0.906985 -v 0.069278 -0.127347 0.924698 -v 0.053789 -0.142409 0.905027 -v 0.075327 -0.169640 0.930617 -v 0.060686 -0.159790 0.912904 -v 0.076175 -0.144728 0.932575 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.7768 -0.0230 0.6293 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.101.obj b/data/sceneparts/tree10/leaves.101.obj deleted file mode 100644 index 1025defd8..000000000 --- a/data/sceneparts/tree10/leaves.101.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.101 -v 0.094167 -0.184053 0.954676 -v 0.072034 -0.222100 0.971210 -v 0.088980 -0.257896 1.041993 -v 0.112842 -0.195235 0.996353 -v 0.111113 -0.219850 1.025459 -v 0.070305 -0.246714 1.000316 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6681 0.5872 0.4569 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.102.obj b/data/sceneparts/tree10/leaves.102.obj deleted file mode 100644 index 7fa583591..000000000 --- a/data/sceneparts/tree10/leaves.102.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.102 -v 0.096519 -0.186484 0.958981 -v 0.141527 -0.279015 0.992903 -v 0.134769 -0.209010 0.962132 -v 0.088275 -0.225645 0.978445 -v 0.103278 -0.256489 0.989752 -v 0.149772 -0.239853 0.973439 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1677 0.4102 0.8964 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.103.obj b/data/sceneparts/tree10/leaves.103.obj deleted file mode 100644 index 10f29fbea..000000000 --- a/data/sceneparts/tree10/leaves.103.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.103 -v 0.098599 -0.188634 0.962790 -v 0.112031 -0.214095 0.988600 -v 0.176557 -0.222524 1.003219 -v 0.137139 -0.185766 0.963932 -v 0.163125 -0.197063 0.977409 -v 0.138017 -0.225392 1.002077 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0727 0.6908 0.7193 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.104.obj b/data/sceneparts/tree10/leaves.104.obj deleted file mode 100644 index 2feb3da6f..000000000 --- a/data/sceneparts/tree10/leaves.104.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.104 -v 0.100890 -0.191003 0.966985 -v 0.124134 -0.258586 0.962940 -v 0.124827 -0.207894 0.964497 -v 0.092449 -0.219166 0.966777 -v 0.100197 -0.241694 0.965429 -v 0.132575 -0.230422 0.963148 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0812 -0.0317 0.9962 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.105.obj b/data/sceneparts/tree10/leaves.105.obj deleted file mode 100644 index 649a5e494..000000000 --- a/data/sceneparts/tree10/leaves.105.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.105 -v 0.103061 -0.193246 0.970959 -v 0.092511 -0.218551 0.979356 -v 0.119931 -0.256049 0.996343 -v 0.124858 -0.209810 0.979485 -v 0.130481 -0.230744 0.987946 -v 0.098134 -0.239485 0.987817 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0983 0.3501 0.9315 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.106.obj b/data/sceneparts/tree10/leaves.106.obj deleted file mode 100644 index 2defd5c2a..000000000 --- a/data/sceneparts/tree10/leaves.106.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.106 -v 0.035489 -0.208059 0.931726 -v -0.003378 -0.248526 0.908693 -v 0.056537 -0.263738 0.943373 -v 0.008759 -0.352278 0.914646 -v -0.012288 -0.296599 0.902999 -v 0.047627 -0.311811 0.937680 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5027 -0.0092 0.8644 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.107.obj b/data/sceneparts/tree10/leaves.107.obj deleted file mode 100644 index 74a1bed32..000000000 --- a/data/sceneparts/tree10/leaves.107.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.107 -v 0.032651 -0.211610 0.933001 -v 0.001231 -0.242188 0.948206 -v 0.018547 -0.316173 0.973391 -v 0.054668 -0.250741 0.944723 -v 0.049967 -0.285595 0.958186 -v -0.003470 -0.277042 0.961669 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1158 0.3443 0.9317 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.108.obj b/data/sceneparts/tree10/leaves.108.obj deleted file mode 100644 index f143b0270..000000000 --- a/data/sceneparts/tree10/leaves.108.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.108 -v 0.029929 -0.215015 0.934224 -v 0.027593 -0.258420 0.942349 -v -0.009578 -0.223847 0.952018 -v -0.032835 -0.293371 0.973104 -v -0.030500 -0.249966 0.964979 -v 0.006672 -0.284539 0.955309 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.3778 0.1507 0.9135 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.109.obj b/data/sceneparts/tree10/leaves.109.obj deleted file mode 100644 index 8077ffc10..000000000 --- a/data/sceneparts/tree10/leaves.109.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.109 -v 0.027207 -0.218420 0.935446 -v -0.053660 -0.256450 0.949494 -v 0.009912 -0.250067 0.944387 -v -0.009410 -0.212127 0.935870 -v -0.036365 -0.224803 0.940553 -v -0.017043 -0.262744 0.949070 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0532 0.2445 0.9682 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.110.obj b/data/sceneparts/tree10/leaves.110.obj deleted file mode 100644 index 4432ff23a..000000000 --- a/data/sceneparts/tree10/leaves.110.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.110 -v 0.024485 -0.221826 0.936669 -v -0.009740 -0.229405 0.928945 -v 0.022256 -0.256500 0.927658 -v -0.030196 -0.285206 0.911567 -v -0.027967 -0.250531 0.920577 -v 0.004029 -0.277627 0.919291 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1633 -0.2383 0.9574 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.111.obj b/data/sceneparts/tree10/leaves.111.obj deleted file mode 100644 index a32dd7eb6..000000000 --- a/data/sceneparts/tree10/leaves.111.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.111 -v 0.021763 -0.225231 0.937891 -v 0.003467 -0.242959 0.939839 -v 0.010956 -0.285907 0.946318 -v 0.032854 -0.247954 0.941561 -v 0.029252 -0.268179 0.944370 -v -0.000135 -0.263184 0.942648 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0336 0.1434 0.9891 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.112.obj b/data/sceneparts/tree10/leaves.112.obj deleted file mode 100644 index 4b9d16cbe..000000000 --- a/data/sceneparts/tree10/leaves.112.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.112 -v 0.282760 0.041911 1.020868 -v 0.325160 0.009974 0.985880 -v 0.337910 0.073509 1.022217 -v 0.429084 0.041404 0.970410 -v 0.373934 0.009805 0.969061 -v 0.386685 0.073340 1.005398 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2772 -0.5183 0.8090 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.113.obj b/data/sceneparts/tree10/leaves.113.obj deleted file mode 100644 index 2cc1e20a2..000000000 --- a/data/sceneparts/tree10/leaves.113.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.113 -v 0.290380 0.041638 1.021423 -v 0.306706 -0.003990 1.007240 -v 0.388743 -0.021983 0.984148 -v 0.339629 0.044852 1.010756 -v 0.372417 0.023645 0.998331 -v 0.339493 -0.025197 0.994815 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2201 -0.2169 0.9511 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.114.obj b/data/sceneparts/tree10/leaves.114.obj deleted file mode 100644 index e1d4808bf..000000000 --- a/data/sceneparts/tree10/leaves.114.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.114 -v 0.297686 0.041377 1.021956 -v 0.387467 0.021945 0.980146 -v 0.317973 0.016204 0.996007 -v 0.337253 0.053594 1.020031 -v 0.367180 0.047117 1.006095 -v 0.347900 0.009727 0.982070 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.2242 -0.6060 0.7632 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.115.obj b/data/sceneparts/tree10/leaves.115.obj deleted file mode 100644 index ee52fc85a..000000000 --- a/data/sceneparts/tree10/leaves.115.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.115 -v 0.304992 0.041115 1.022488 -v 0.339577 0.023986 1.002055 -v 0.397147 0.064168 0.974743 -v 0.331844 0.073613 1.011092 -v 0.362562 0.081297 0.995177 -v 0.370295 0.031670 0.986140 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4751 -0.0855 0.8758 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.116.obj b/data/sceneparts/tree10/leaves.116.obj deleted file mode 100644 index 7792ca962..000000000 --- a/data/sceneparts/tree10/leaves.116.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.116 -v 0.312299 0.040854 1.023021 -v 0.325888 0.070036 1.039906 -v 0.348029 0.042348 1.016505 -v 0.386278 0.086867 1.038575 -v 0.372689 0.057685 1.021690 -v 0.350547 0.085373 1.045091 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1719 -0.5521 0.8159 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.117.obj b/data/sceneparts/tree10/leaves.117.obj deleted file mode 100644 index f613a45a7..000000000 --- a/data/sceneparts/tree10/leaves.117.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.117 -v 0.319605 0.040593 1.023554 -v 0.342092 0.030173 1.021835 -v 0.378346 0.051824 1.014529 -v 0.336279 0.058499 1.019256 -v 0.355860 0.062243 1.016248 -v 0.361672 0.033917 1.018827 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1291 0.1161 0.9848 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.118.obj b/data/sceneparts/tree10/leaves.118.obj deleted file mode 100644 index 261147aff..000000000 --- a/data/sceneparts/tree10/leaves.118.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.118 -v 0.224658 -0.107741 0.964085 -v 0.232130 -0.162419 0.957657 -v 0.314140 -0.208466 0.976088 -v 0.276841 -0.120213 0.978515 -v 0.306669 -0.153788 0.982516 -v 0.261957 -0.195994 0.961658 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2969 -0.1514 0.9428 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.119.obj b/data/sceneparts/tree10/leaves.119.obj deleted file mode 100644 index 680ea8fc0..000000000 --- a/data/sceneparts/tree10/leaves.119.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.119 -v 0.226968 -0.108940 0.963888 -v 0.268821 -0.120540 0.956985 -v 0.230475 -0.152431 0.969375 -v 0.295007 -0.191576 0.961764 -v 0.253154 -0.179976 0.968667 -v 0.291500 -0.148085 0.956277 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1984 0.1384 0.9703 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.120.obj b/data/sceneparts/tree10/leaves.120.obj deleted file mode 100644 index 95cea2fe5..000000000 --- a/data/sceneparts/tree10/leaves.120.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.120 -v 0.229011 -0.110001 0.963714 -v 0.253238 -0.138375 0.989960 -v 0.322131 -0.120210 1.023369 -v 0.266864 -0.088433 0.977237 -v 0.297904 -0.091836 0.997123 -v 0.284277 -0.141779 1.009846 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4813 0.3374 0.8090 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.121.obj b/data/sceneparts/tree10/leaves.121.obj deleted file mode 100644 index af99bc43d..000000000 --- a/data/sceneparts/tree10/leaves.121.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.121 -v 0.231261 -0.111169 0.963521 -v 0.252565 -0.131051 0.982217 -v 0.312164 -0.127557 0.980580 -v 0.263892 -0.102213 0.956198 -v 0.290860 -0.107675 0.961884 -v 0.279532 -0.136513 0.987904 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0192 0.6739 0.7385 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.122.obj b/data/sceneparts/tree10/leaves.122.obj deleted file mode 100644 index 7a01f40be..000000000 --- a/data/sceneparts/tree10/leaves.122.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.122 -v 0.233393 -0.112277 0.963339 -v 0.231177 -0.136568 0.964242 -v 0.263495 -0.163315 0.967863 -v 0.255677 -0.122011 0.965453 -v 0.265711 -0.139024 0.966960 -v 0.241211 -0.153581 0.965749 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0753 0.0439 0.9962 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.123.obj b/data/sceneparts/tree10/leaves.123.obj deleted file mode 100644 index 84301f4bb..000000000 --- a/data/sceneparts/tree10/leaves.123.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.123 -v 0.232425 0.090992 1.055446 -v 0.264002 0.132387 1.048700 -v 0.238637 0.218570 1.060143 -v 0.204989 0.134649 1.065324 -v 0.207060 0.177175 1.066889 -v 0.266073 0.174913 1.050266 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2691 -0.0485 0.9619 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.124.obj b/data/sceneparts/tree10/leaves.124.obj deleted file mode 100644 index c991521ea..000000000 --- a/data/sceneparts/tree10/leaves.124.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.124 -v 0.233831 0.094625 1.058528 -v 0.267006 0.136913 1.058528 -v 0.239219 0.225370 1.058528 -v 0.204248 0.139500 1.058528 -v 0.206044 0.183082 1.058528 -v 0.268802 0.180495 1.058528 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0000 0.0000 1.0000 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.125.obj b/data/sceneparts/tree10/leaves.125.obj deleted file mode 100644 index 49b2027fe..000000000 --- a/data/sceneparts/tree10/leaves.125.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.125 -v 0.235180 0.098108 1.061483 -v 0.281225 0.091923 1.045960 -v 0.320742 0.143400 0.991845 -v 0.246176 0.134488 1.030580 -v 0.274697 0.149585 1.007368 -v 0.309745 0.107020 1.022747 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3322 0.5503 0.7660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.126.obj b/data/sceneparts/tree10/leaves.126.obj deleted file mode 100644 index adaec1874..000000000 --- a/data/sceneparts/tree10/leaves.126.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.126 -v 0.236529 0.101591 1.064438 -v 0.267601 0.122436 1.054655 -v 0.283712 0.181192 1.081838 -v 0.236912 0.133814 1.085821 -v 0.252639 0.160348 1.091621 -v 0.283328 0.148970 1.060455 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.5365 -0.4710 0.7002 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.127.obj b/data/sceneparts/tree10/leaves.127.obj deleted file mode 100644 index de4b9fe30..000000000 --- a/data/sceneparts/tree10/leaves.127.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.127 -v 0.237877 0.105074 1.067393 -v 0.259572 0.129224 1.062757 -v 0.249669 0.183749 1.074112 -v 0.224044 0.133374 1.076508 -v 0.227974 0.159599 1.078748 -v 0.263502 0.155449 1.064996 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3445 -0.1310 0.9296 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.128.obj b/data/sceneparts/tree10/leaves.128.obj deleted file mode 100644 index 73358bed3..000000000 --- a/data/sceneparts/tree10/leaves.128.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.128 -v 0.239226 0.108558 1.070348 -v 0.248458 0.129032 1.075908 -v 0.229371 0.157657 1.096141 -v 0.223424 0.120816 1.081983 -v 0.220139 0.137183 1.090581 -v 0.245173 0.145399 1.084506 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3350 -0.3846 0.8602 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.129.obj b/data/sceneparts/tree10/leaves.129.obj deleted file mode 100644 index 4938d1e92..000000000 --- a/data/sceneparts/tree10/leaves.129.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.129 -v -0.157695 0.074526 1.040915 -v -0.179608 0.108772 1.085478 -v -0.276812 0.102594 1.122105 -v -0.215194 0.058992 1.050478 -v -0.254900 0.068348 1.077542 -v -0.219314 0.118128 1.112542 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2955 -0.6818 0.6692 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.130.obj b/data/sceneparts/tree10/leaves.130.obj deleted file mode 100644 index cf7e98c4b..000000000 --- a/data/sceneparts/tree10/leaves.130.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.130 -v -0.162876 0.077757 1.043031 -v -0.152569 0.113769 1.065540 -v -0.197806 0.173560 1.073381 -v -0.196469 0.105615 1.040755 -v -0.208113 0.137549 1.050872 -v -0.164213 0.145703 1.075657 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3915 -0.4046 0.8265 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.131.obj b/data/sceneparts/tree10/leaves.131.obj deleted file mode 100644 index 9813fa3ce..000000000 --- a/data/sceneparts/tree10/leaves.131.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.131 -v -0.168671 0.079728 1.044598 -v -0.195760 0.092043 1.027994 -v -0.244142 0.061012 1.015676 -v -0.191895 0.054936 1.041921 -v -0.217053 0.048698 1.032280 -v -0.220918 0.085804 1.018354 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4037 0.2843 0.8696 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.132.obj b/data/sceneparts/tree10/leaves.132.obj deleted file mode 100644 index da48c9cf9..000000000 --- a/data/sceneparts/tree10/leaves.132.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.132 -v -0.174043 0.079867 1.045230 -v -0.203879 0.083989 1.048540 -v -0.238200 0.045624 1.057622 -v -0.186978 0.052916 1.050181 -v -0.208363 0.041502 1.054312 -v -0.225265 0.072575 1.052670 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1259 0.1205 0.9847 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.133.obj b/data/sceneparts/tree10/leaves.133.obj deleted file mode 100644 index 91987f8b6..000000000 --- a/data/sceneparts/tree10/leaves.133.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.133 -v -0.167318 0.081147 1.045147 -v -0.176981 0.109638 1.057765 -v -0.225693 0.135008 1.045483 -v -0.196571 0.088562 1.032753 -v -0.216030 0.106516 1.032865 -v -0.196440 0.127592 1.057877 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4425 -0.4843 0.7547 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.134.obj b/data/sceneparts/tree10/leaves.134.obj deleted file mode 100644 index ea0567d3c..000000000 --- a/data/sceneparts/tree10/leaves.134.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.134 -v -0.170491 0.085967 1.047826 -v -0.171546 0.142140 1.082883 -v -0.162376 0.111926 1.048172 -v -0.179309 0.097456 1.070850 -v -0.179661 0.116180 1.082536 -v -0.162728 0.130651 1.059858 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.8462 -0.2706 0.4591 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.135.obj b/data/sceneparts/tree10/leaves.135.obj deleted file mode 100644 index cfefe57b6..000000000 --- a/data/sceneparts/tree10/leaves.135.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.135 -v -0.314864 0.054062 1.057311 -v -0.357075 0.079335 1.074758 -v -0.438971 0.042636 1.082181 -v -0.355390 0.021171 1.056444 -v -0.396759 0.017363 1.064734 -v -0.398444 0.075527 1.083048 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2136 -0.2878 0.9336 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.136.obj b/data/sceneparts/tree10/leaves.136.obj deleted file mode 100644 index 2a60ecb00..000000000 --- a/data/sceneparts/tree10/leaves.136.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.136 -v -0.321706 0.048162 1.060880 -v -0.360559 0.041623 1.063648 -v -0.391819 -0.014751 1.041583 -v -0.329595 0.012760 1.045248 -v -0.352966 -0.008211 1.038816 -v -0.383929 0.020652 1.057215 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1353 -0.4253 0.8949 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.137.obj b/data/sceneparts/tree10/leaves.137.obj deleted file mode 100644 index d582a98b9..000000000 --- a/data/sceneparts/tree10/leaves.137.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.137 -v -0.327612 0.041345 1.064883 -v -0.350129 0.022514 1.073237 -v -0.347258 -0.030021 1.071345 -v -0.318192 0.012600 1.060837 -v -0.324741 -0.011189 1.062991 -v -0.356678 -0.001275 1.075390 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3581 -0.0140 0.9336 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.138.obj b/data/sceneparts/tree10/leaves.138.obj deleted file mode 100644 index 3838923a7..000000000 --- a/data/sceneparts/tree10/leaves.138.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.138 -v -0.332215 0.036361 1.067827 -v -0.370680 -0.013989 1.068655 -v -0.357102 0.028778 1.067061 -v -0.332972 0.010378 1.069145 -v -0.345793 -0.006405 1.069421 -v -0.369923 0.011994 1.067337 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0465 0.0520 0.9976 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.139.obj b/data/sceneparts/tree10/leaves.139.obj deleted file mode 100644 index 03c7d4533..000000000 --- a/data/sceneparts/tree10/leaves.139.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.139 -v -0.323915 0.052570 1.058657 -v -0.340289 0.096470 1.059723 -v -0.415172 0.116809 1.082415 -v -0.368379 0.051497 1.073430 -v -0.398798 0.072909 1.081349 -v -0.370708 0.117883 1.067642 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3119 0.0934 0.9455 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.140.obj b/data/sceneparts/tree10/leaves.140.obj deleted file mode 100644 index b96ad620c..000000000 --- a/data/sceneparts/tree10/leaves.140.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.140 -v -0.334022 0.052359 1.059382 -v -0.361172 0.061360 1.033995 -v -0.412840 0.023008 1.019435 -v -0.359418 0.023790 1.058138 -v -0.385690 0.014007 1.044822 -v -0.387445 0.051577 1.020679 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5309 0.4404 0.7240 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.141.obj b/data/sceneparts/tree10/leaves.141.obj deleted file mode 100644 index 07200701a..000000000 --- a/data/sceneparts/tree10/leaves.141.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.141 -v -0.343419 0.052163 1.060056 -v -0.368480 0.054602 1.067549 -v -0.401027 0.024428 1.058385 -v -0.356763 0.031234 1.051449 -v -0.375966 0.021989 1.050892 -v -0.387683 0.045357 1.066992 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2075 -0.4823 0.8511 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.142.obj b/data/sceneparts/tree10/leaves.142.obj deleted file mode 100644 index 79095acd8..000000000 --- a/data/sceneparts/tree10/leaves.142.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.142 -v -0.295770 0.116245 1.080568 -v -0.385088 0.217407 1.104082 -v -0.349567 0.127858 1.092262 -v -0.301518 0.172074 1.084549 -v -0.331291 0.205794 1.092388 -v -0.379340 0.161578 1.100100 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.2021 -0.0490 0.9781 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.143.obj b/data/sceneparts/tree10/leaves.143.obj deleted file mode 100644 index 6b01b6440..000000000 --- a/data/sceneparts/tree10/leaves.143.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.143 -v -0.298000 0.117793 1.082531 -v -0.290792 0.172904 1.065378 -v -0.348973 0.137837 1.062949 -v -0.363648 0.230526 1.027429 -v -0.370855 0.175415 1.044582 -v -0.312675 0.210482 1.047011 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2292 0.3165 0.9205 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.144.obj b/data/sceneparts/tree10/leaves.144.obj deleted file mode 100644 index 246957cf7..000000000 --- a/data/sceneparts/tree10/leaves.144.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.144 -v -0.300401 0.119459 1.084644 -v -0.321024 0.158446 1.094296 -v -0.341327 0.119114 1.065581 -v -0.392723 0.177423 1.070526 -v -0.372101 0.138435 1.060875 -v -0.351798 0.177768 1.089590 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3827 -0.4077 0.8290 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.145.obj b/data/sceneparts/tree10/leaves.145.obj deleted file mode 100644 index 1637dae1d..000000000 --- a/data/sceneparts/tree10/leaves.145.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.145 -v -0.302475 0.120898 1.086470 -v -0.329624 0.143464 1.109067 -v -0.396937 0.122449 1.125046 -v -0.338301 0.099366 1.089591 -v -0.369788 0.099883 1.102449 -v -0.361111 0.143981 1.121925 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3343 -0.4350 0.8361 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.146.obj b/data/sceneparts/tree10/leaves.146.obj deleted file mode 100644 index e75ddb7ba..000000000 --- a/data/sceneparts/tree10/leaves.146.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.146 -v -0.304861 0.122554 1.088570 -v -0.311152 0.162631 1.092663 -v -0.371370 0.195286 1.076701 -v -0.342909 0.130965 1.076565 -v -0.365079 0.155209 1.072609 -v -0.333322 0.186875 1.088706 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3270 -0.1467 0.9336 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.147.obj b/data/sceneparts/tree10/leaves.147.obj deleted file mode 100644 index bbed4e72e..000000000 --- a/data/sceneparts/tree10/leaves.147.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.147 -v -0.306982 0.124026 1.090437 -v -0.308189 0.156166 1.091371 -v -0.355062 0.185752 1.094275 -v -0.337828 0.133036 1.092062 -v -0.353854 0.153612 1.093342 -v -0.324216 0.176741 1.092650 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0446 -0.0273 0.9986 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.148.obj b/data/sceneparts/tree10/leaves.148.obj deleted file mode 100644 index 517b19702..000000000 --- a/data/sceneparts/tree10/leaves.148.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.148 -v -0.309243 0.125595 1.092427 -v -0.316499 0.151751 1.090018 -v -0.349823 0.172585 1.115809 -v -0.329040 0.130766 1.110425 -v -0.342567 0.146429 1.118219 -v -0.330025 0.167414 1.097812 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.6861 0.2532 0.6820 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.149.obj b/data/sceneparts/tree10/leaves.149.obj deleted file mode 100644 index 5e9f41ee0..000000000 --- a/data/sceneparts/tree10/leaves.149.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.149 -v -0.322757 0.004386 1.107808 -v -0.371435 0.022888 1.130463 -v -0.459655 -0.014785 1.110584 -v -0.365344 -0.026897 1.087004 -v -0.410977 -0.033287 1.087929 -v -0.417067 0.016498 1.131389 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1059 -0.6465 0.7555 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.150.obj b/data/sceneparts/tree10/leaves.150.obj deleted file mode 100644 index 7e9579842..000000000 --- a/data/sceneparts/tree10/leaves.150.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.150 -v -0.328128 0.006463 1.109098 -v -0.335075 0.055233 1.107284 -v -0.408867 0.092607 1.087548 -v -0.375006 0.015122 1.096546 -v -0.401919 0.043837 1.089362 -v -0.361988 0.083948 1.100100 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2588 -0.0009 0.9659 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.151.obj b/data/sceneparts/tree10/leaves.151.obj deleted file mode 100644 index e402105ff..000000000 --- a/data/sceneparts/tree10/leaves.151.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.151 -v -0.333912 0.008699 1.110488 -v -0.346013 0.053864 1.096038 -v -0.424339 0.078239 1.076084 -v -0.382095 0.009894 1.102002 -v -0.412237 0.033074 1.090534 -v -0.376155 0.077044 1.084570 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1611 0.2613 0.9517 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.152.obj b/data/sceneparts/tree10/leaves.152.obj deleted file mode 100644 index ff04998cd..000000000 --- a/data/sceneparts/tree10/leaves.152.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.152 -v -0.338907 0.010631 1.111688 -v -0.378473 0.037272 1.114484 -v -0.454852 0.008720 1.102450 -v -0.376638 -0.017284 1.102732 -v -0.415286 -0.017921 1.099653 -v -0.417122 0.036635 1.111405 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0741 -0.2124 0.9744 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.153.obj b/data/sceneparts/tree10/leaves.153.obj deleted file mode 100644 index d5b317b0f..000000000 --- a/data/sceneparts/tree10/leaves.153.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.153 -v -0.344654 0.012853 1.113068 -v -0.373026 0.030043 1.118730 -v -0.425016 0.005686 1.127340 -v -0.369856 -0.009115 1.116920 -v -0.396643 -0.011504 1.121678 -v -0.399814 0.027654 1.123488 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1775 -0.0311 0.9836 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.154.obj b/data/sceneparts/tree10/leaves.154.obj deleted file mode 100644 index 6cd686fe0..000000000 --- a/data/sceneparts/tree10/leaves.154.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.154 -v -0.349762 0.014828 1.114295 -v -0.371802 0.040832 1.121609 -v -0.414049 0.038608 1.164352 -v -0.370580 0.004678 1.140352 -v -0.392009 0.012605 1.157038 -v -0.393231 0.048758 1.138295 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.6522 0.3661 0.6637 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.155.obj b/data/sceneparts/tree10/leaves.155.obj deleted file mode 100644 index d7d5fc017..000000000 --- a/data/sceneparts/tree10/leaves.155.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.155 -v -0.355208 0.016934 1.115603 -v -0.366107 0.045472 1.112724 -v -0.399640 0.068288 1.146734 -v -0.373930 0.022632 1.139236 -v -0.388740 0.039750 1.149613 -v -0.380918 0.062590 1.123101 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.7737 0.3489 0.5288 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.156.obj b/data/sceneparts/tree10/leaves.156.obj deleted file mode 100644 index 4e83a74b3..000000000 --- a/data/sceneparts/tree10/leaves.156.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.156 -v -0.189834 -0.113228 1.145967 -v -0.235477 -0.073325 1.131380 -v -0.337408 -0.082762 1.164418 -v -0.242574 -0.132819 1.172854 -v -0.291765 -0.122664 1.179004 -v -0.284668 -0.063170 1.137530 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2134 0.5414 0.8132 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.157.obj b/data/sceneparts/tree10/leaves.157.obj deleted file mode 100644 index 88e74d541..000000000 --- a/data/sceneparts/tree10/leaves.157.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.157 -v -0.192833 -0.113861 1.147045 -v -0.224621 -0.093465 1.131697 -v -0.286952 -0.122378 1.116705 -v -0.223791 -0.139935 1.142166 -v -0.255164 -0.142774 1.132053 -v -0.255994 -0.096304 1.121583 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3170 0.2031 0.9264 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.158.obj b/data/sceneparts/tree10/leaves.158.obj deleted file mode 100644 index 4db4865a0..000000000 --- a/data/sceneparts/tree10/leaves.158.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.158 -v -0.195486 -0.114422 1.147998 -v -0.232170 -0.117396 1.168706 -v -0.283715 -0.166827 1.154329 -v -0.217621 -0.146384 1.131510 -v -0.247031 -0.163853 1.133621 -v -0.261580 -0.134864 1.170816 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4203 -0.6286 0.6543 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.159.obj b/data/sceneparts/tree10/leaves.159.obj deleted file mode 100644 index 55fd5792b..000000000 --- a/data/sceneparts/tree10/leaves.159.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.159 -v -0.198408 -0.115039 1.149048 -v -0.216127 -0.089242 1.156077 -v -0.268813 -0.091093 1.172877 -v -0.227626 -0.124871 1.157905 -v -0.251094 -0.116889 1.165848 -v -0.239595 -0.081260 1.164020 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3050 -0.0496 0.9511 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.160.obj b/data/sceneparts/tree10/leaves.160.obj deleted file mode 100644 index 807c4f8be..000000000 --- a/data/sceneparts/tree10/leaves.160.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.160 -v -0.201176 -0.115624 1.150043 -v -0.222418 -0.099148 1.153534 -v -0.265869 -0.108582 1.139054 -v -0.223063 -0.127405 1.139227 -v -0.244627 -0.125057 1.135564 -v -0.243982 -0.096801 1.149871 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1967 -0.4393 0.8765 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.161.obj b/data/sceneparts/tree10/leaves.161.obj deleted file mode 100644 index d19322aec..000000000 --- a/data/sceneparts/tree10/leaves.161.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.161 -v -0.123395 -0.192591 1.199202 -v -0.170645 -0.219325 1.199563 -v -0.178902 -0.312397 1.193204 -v -0.113149 -0.245727 1.194842 -v -0.131651 -0.285663 1.192843 -v -0.189148 -0.259261 1.197564 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0486 -0.0724 0.9962 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.162.obj b/data/sceneparts/tree10/leaves.162.obj deleted file mode 100644 index 8a26b2c61..000000000 --- a/data/sceneparts/tree10/leaves.162.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.162 -v -0.128443 -0.196322 1.204968 -v -0.144994 -0.183106 1.247962 -v -0.127924 -0.234554 1.233867 -v -0.152491 -0.233846 1.312807 -v -0.135940 -0.247062 1.269813 -v -0.153010 -0.195613 1.283909 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.9299 0.2298 0.2873 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.163.obj b/data/sceneparts/tree10/leaves.163.obj deleted file mode 100644 index 42705c984..000000000 --- a/data/sceneparts/tree10/leaves.163.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.163 -v -0.128661 -0.196494 1.205222 -v -0.154299 -0.192970 1.203922 -v -0.182952 -0.203477 1.236581 -v -0.139217 -0.204672 1.227428 -v -0.157314 -0.207000 1.237881 -v -0.172396 -0.195298 1.214375 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1062 0.9156 0.3877 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.164.obj b/data/sceneparts/tree10/leaves.164.obj deleted file mode 100644 index 33ac8d45c..000000000 --- a/data/sceneparts/tree10/leaves.164.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.164 -v -0.121736 -0.193686 1.198255 -v -0.153647 -0.222040 1.175944 -v -0.147252 -0.304695 1.170373 -v -0.106835 -0.239338 1.201978 -v -0.115341 -0.276341 1.192683 -v -0.162152 -0.259043 1.166650 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5109 -0.0971 0.8541 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.165.obj b/data/sceneparts/tree10/leaves.165.obj deleted file mode 100644 index 717d08d20..000000000 --- a/data/sceneparts/tree10/leaves.165.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.165 -v -0.121171 -0.201525 1.200978 -v -0.136640 -0.245115 1.205406 -v -0.089553 -0.309034 1.216431 -v -0.084623 -0.229609 1.206851 -v -0.074083 -0.265445 1.212002 -v -0.126101 -0.280951 1.210557 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0643 0.1234 0.9903 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.166.obj b/data/sceneparts/tree10/leaves.166.obj deleted file mode 100644 index 243eb0368..000000000 --- a/data/sceneparts/tree10/leaves.166.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.166 -v -0.120559 -0.210002 1.203922 -v -0.122935 -0.246571 1.202736 -v -0.073312 -0.285733 1.204803 -v -0.086685 -0.223920 1.205695 -v -0.070936 -0.249164 1.205989 -v -0.107186 -0.271814 1.203030 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0638 -0.0282 0.9976 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.167.obj b/data/sceneparts/tree10/leaves.167.obj deleted file mode 100644 index 694e3ea74..000000000 --- a/data/sceneparts/tree10/leaves.167.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.167 -v -0.119985 -0.217956 1.206685 -v -0.145731 -0.234104 1.207780 -v -0.117536 -0.241334 1.187390 -v -0.154931 -0.277245 1.179386 -v -0.129185 -0.261097 1.178291 -v -0.157380 -0.253867 1.198680 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3844 -0.5633 0.7314 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.168.obj b/data/sceneparts/tree10/leaves.168.obj deleted file mode 100644 index af164a5eb..000000000 --- a/data/sceneparts/tree10/leaves.168.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.168 -v 0.180911 -0.030166 1.274494 -v 0.199692 -0.073263 1.273656 -v 0.276526 -0.089439 1.253319 -v 0.225873 -0.026584 1.261215 -v 0.257745 -0.046342 1.254157 -v 0.231564 -0.093021 1.266598 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2744 0.1010 0.9563 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.169.obj b/data/sceneparts/tree10/leaves.169.obj deleted file mode 100644 index 290d1617c..000000000 --- a/data/sceneparts/tree10/leaves.169.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.169 -v 0.181904 -0.030761 1.277964 -v 0.195372 -0.067081 1.306048 -v 0.269979 -0.074182 1.340626 -v 0.227153 -0.023388 1.291655 -v 0.256511 -0.037862 1.312542 -v 0.224730 -0.081555 1.326935 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3244 0.5004 0.8027 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.170.obj b/data/sceneparts/tree10/leaves.170.obj deleted file mode 100644 index 21a57ec5b..000000000 --- a/data/sceneparts/tree10/leaves.170.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.170 -v 0.182783 -0.031286 1.281034 -v 0.226950 0.001259 1.378716 -v 0.204573 0.003048 1.302574 -v 0.190438 -0.043924 1.324615 -v 0.205160 -0.033075 1.357176 -v 0.219295 0.013896 1.335135 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.8806 0.3908 0.2680 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.171.obj b/data/sceneparts/tree10/leaves.171.obj deleted file mode 100644 index c14a5c413..000000000 --- a/data/sceneparts/tree10/leaves.171.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.171 -v 0.183751 -0.031866 1.284415 -v 0.168290 -0.063424 1.293091 -v 0.192505 -0.119438 1.279858 -v 0.205048 -0.058689 1.272701 -v 0.207966 -0.087879 1.271181 -v 0.171208 -0.092615 1.291572 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4848 0.0029 0.8746 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.172.obj b/data/sceneparts/tree10/leaves.172.obj deleted file mode 100644 index c96b0a37a..000000000 --- a/data/sceneparts/tree10/leaves.172.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.172 -v 0.184668 -0.032414 1.287619 -v 0.198085 -0.058686 1.297163 -v 0.237633 -0.083627 1.271192 -v 0.206561 -0.040285 1.267123 -v 0.224216 -0.057356 1.261648 -v 0.215740 -0.075757 1.291687 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.6730 0.5308 0.5150 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.173.obj b/data/sceneparts/tree10/leaves.173.obj deleted file mode 100644 index b7d967363..000000000 --- a/data/sceneparts/tree10/leaves.173.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.173 -v 0.198520 0.102680 1.169209 -v 0.188885 0.146730 1.125870 -v 0.247425 0.141664 1.169335 -v 0.257424 0.227232 1.104390 -v 0.267059 0.183181 1.147728 -v 0.208520 0.188247 1.104264 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.4570 0.5710 0.6820 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.174.obj b/data/sceneparts/tree10/leaves.174.obj deleted file mode 100644 index 25f807606..000000000 --- a/data/sceneparts/tree10/leaves.174.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.174 -v 0.202215 0.107078 1.166599 -v 0.248323 0.134176 1.165729 -v 0.255260 0.224900 1.150414 -v 0.191471 0.158528 1.156679 -v 0.209153 0.197802 1.151284 -v 0.266005 0.173450 1.160334 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0826 0.1720 0.9816 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.175.obj b/data/sceneparts/tree10/leaves.175.obj deleted file mode 100644 index b40c020df..000000000 --- a/data/sceneparts/tree10/leaves.175.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.175 -v 0.205484 0.110969 1.164290 -v 0.237711 0.104523 1.147884 -v 0.286178 0.145325 1.146809 -v 0.227054 0.140319 1.169042 -v 0.253951 0.151771 1.163215 -v 0.264609 0.115975 1.142057 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3524 -0.3962 0.8478 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.176.obj b/data/sceneparts/tree10/leaves.176.obj deleted file mode 100644 index 20d37e494..000000000 --- a/data/sceneparts/tree10/leaves.176.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.176 -v 0.209085 0.115254 1.161747 -v 0.242790 0.102154 1.160040 -v 0.294381 0.137339 1.159545 -v 0.232244 0.143077 1.161986 -v 0.260676 0.150439 1.161252 -v 0.271222 0.109515 1.159306 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0357 -0.0383 0.9986 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.177.obj b/data/sceneparts/tree10/leaves.177.obj deleted file mode 100644 index 3671e0fa5..000000000 --- a/data/sceneparts/tree10/leaves.177.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.177 -v 0.212496 0.119314 1.159338 -v 0.231967 0.117658 1.144833 -v 0.236900 0.139218 1.109151 -v 0.209294 0.134239 1.140384 -v 0.217429 0.140874 1.123655 -v 0.240102 0.124292 1.128104 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4413 0.7397 0.5080 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.178.obj b/data/sceneparts/tree10/leaves.178.obj deleted file mode 100644 index ec5bc4d47..000000000 --- a/data/sceneparts/tree10/leaves.178.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.178 -v 0.146070 -0.086993 1.240461 -v 0.119492 -0.140589 1.242222 -v 0.188222 -0.128855 1.247733 -v 0.169431 -0.230180 1.254009 -v 0.127279 -0.188318 1.246738 -v 0.196009 -0.176584 1.252249 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0930 0.0787 0.9925 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.179.obj b/data/sceneparts/tree10/leaves.179.obj deleted file mode 100644 index 66644ba69..000000000 --- a/data/sceneparts/tree10/leaves.179.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.179 -v 0.144811 -0.091003 1.241438 -v 0.100090 -0.095579 1.233016 -v 0.134632 -0.135589 1.240935 -v 0.062462 -0.164747 1.228051 -v 0.107182 -0.160171 1.236473 -v 0.072641 -0.120161 1.228554 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1881 0.0319 0.9816 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.180.obj b/data/sceneparts/tree10/leaves.180.obj deleted file mode 100644 index 19ed0e949..000000000 --- a/data/sceneparts/tree10/leaves.180.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.180 -v 0.143454 -0.095321 1.242490 -v 0.149958 -0.145187 1.241876 -v 0.098251 -0.117321 1.243855 -v 0.085404 -0.203119 1.243616 -v 0.078901 -0.153254 1.244230 -v 0.130608 -0.181119 1.242252 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0340 -0.0079 0.9994 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.181.obj b/data/sceneparts/tree10/leaves.181.obj deleted file mode 100644 index ac3e56747..000000000 --- a/data/sceneparts/tree10/leaves.181.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.181 -v 0.142283 -0.099051 1.243398 -v 0.128882 -0.130444 1.229462 -v 0.164667 -0.178436 1.207988 -v 0.170606 -0.120582 1.233728 -v 0.178067 -0.147043 1.221924 -v 0.136344 -0.156905 1.217658 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0027 -0.4067 0.9135 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.182.obj b/data/sceneparts/tree10/leaves.182.obj deleted file mode 100644 index 00469fe6e..000000000 --- a/data/sceneparts/tree10/leaves.182.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.182 -v 0.140935 -0.103342 1.244443 -v 0.105484 -0.122126 1.245277 -v 0.092189 -0.182102 1.213370 -v 0.143889 -0.137064 1.222893 -v 0.127640 -0.163318 1.212536 -v 0.089235 -0.148380 1.234919 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2835 -0.4986 0.8192 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.183.obj b/data/sceneparts/tree10/leaves.183.obj deleted file mode 100644 index fdccfd320..000000000 --- a/data/sceneparts/tree10/leaves.183.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.183 -v 0.139737 -0.107155 1.245372 -v 0.083523 -0.162409 1.243586 -v 0.107784 -0.112088 1.243528 -v 0.134214 -0.139059 1.246025 -v 0.115476 -0.157476 1.245430 -v 0.089046 -0.130506 1.242933 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0624 0.0312 0.9976 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.184.obj b/data/sceneparts/tree10/leaves.184.obj deleted file mode 100644 index 6f7b58385..000000000 --- a/data/sceneparts/tree10/leaves.184.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.184 -v 0.138460 -0.111222 1.246362 -v 0.150386 -0.123234 1.230551 -v 0.123417 -0.122338 1.232699 -v 0.133785 -0.145915 1.202149 -v 0.121859 -0.133902 1.217961 -v 0.148828 -0.134798 1.215813 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0229 -0.7877 0.6157 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.185.obj b/data/sceneparts/tree10/leaves.185.obj deleted file mode 100644 index 61a305294..000000000 --- a/data/sceneparts/tree10/leaves.185.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.185 -v -0.031378 0.173374 1.287908 -v -0.017505 0.219869 1.287908 -v -0.070109 0.284973 1.287908 -v -0.071072 0.201278 1.287908 -v -0.083983 0.238478 1.287908 -v -0.030415 0.257069 1.287908 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0000 0.0000 1.0000 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.186.obj b/data/sceneparts/tree10/leaves.186.obj deleted file mode 100644 index 8df82eabd..000000000 --- a/data/sceneparts/tree10/leaves.186.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.186 -v -0.031241 0.178575 1.290068 -v 0.004336 0.216579 1.301722 -v -0.010653 0.306801 1.291536 -v -0.053092 0.226055 1.279392 -v -0.046229 0.268797 1.279881 -v 0.011199 0.259321 1.302211 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3554 0.0464 0.9336 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.187.obj b/data/sceneparts/tree10/leaves.187.obj deleted file mode 100644 index 1301d3a3f..000000000 --- a/data/sceneparts/tree10/leaves.187.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.187 -v -0.031119 0.183176 1.291978 -v 0.015586 0.255683 1.304848 -v -0.031995 0.216275 1.305640 -v 0.000894 0.198416 1.286896 -v 0.016463 0.222585 1.291186 -v -0.016427 0.240444 1.309930 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.3094 -0.3558 0.8819 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.188.obj b/data/sceneparts/tree10/leaves.188.obj deleted file mode 100644 index 8d7725201..000000000 --- a/data/sceneparts/tree10/leaves.188.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.188 -v -0.030985 0.188245 1.294083 -v -0.025115 0.280449 1.272501 -v -0.006727 0.216634 1.282933 -v -0.051330 0.221325 1.290844 -v -0.049373 0.252060 1.283651 -v -0.004770 0.247369 1.275739 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1922 0.2120 0.9582 -vn 0.1923 0.2120 0.9582 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/2 3/5/2 6/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.189.obj b/data/sceneparts/tree10/leaves.189.obj deleted file mode 100644 index 045732f57..000000000 --- a/data/sceneparts/tree10/leaves.189.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.189 -v -0.030858 0.193046 1.296076 -v -0.055653 0.205565 1.308728 -v -0.030546 0.223029 1.290374 -v -0.067581 0.256799 1.306501 -v -0.042787 0.244280 1.293849 -v -0.067894 0.226817 1.312203 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.5102 0.1556 0.8459 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.190.obj b/data/sceneparts/tree10/leaves.190.obj deleted file mode 100644 index cd673952a..000000000 --- a/data/sceneparts/tree10/leaves.190.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.190 -v -0.014956 0.324331 1.316863 -v 0.015793 0.369153 1.325076 -v -0.009145 0.441875 1.380594 -v -0.041831 0.357872 1.351137 -v -0.039894 0.397053 1.372381 -v 0.017730 0.408334 1.346320 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4399 -0.4447 0.7802 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.191.obj b/data/sceneparts/tree10/leaves.191.obj deleted file mode 100644 index 8b3689cff..000000000 --- a/data/sceneparts/tree10/leaves.191.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.191 -v -0.011177 0.329476 1.318979 -v -0.010918 0.379265 1.326164 -v 0.030665 0.348349 1.298398 -v 0.051976 0.432469 1.298886 -v 0.010133 0.413596 1.319467 -v 0.051716 0.382680 1.291701 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.4835 -0.1275 0.8660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.192.obj b/data/sceneparts/tree10/leaves.192.obj deleted file mode 100644 index 380b93ba6..000000000 --- a/data/sceneparts/tree10/leaves.192.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.192 -v -0.007108 0.335016 1.321257 -v 0.039890 0.312732 1.334361 -v 0.111484 0.358949 1.370416 -v 0.024955 0.373255 1.340925 -v 0.064486 0.381233 1.357312 -v 0.079421 0.320710 1.350747 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3443 -0.1848 0.9205 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.193.obj b/data/sceneparts/tree10/leaves.193.obj deleted file mode 100644 index 0afc61cd6..000000000 --- a/data/sceneparts/tree10/leaves.193.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.193 -v -0.003593 0.339801 1.323225 -v -0.014889 0.384343 1.331273 -v 0.035190 0.365600 1.320644 -v 0.037638 0.445313 1.331426 -v 0.048933 0.400771 1.323378 -v -0.001145 0.419514 1.334007 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1563 -0.1371 0.9781 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.194.obj b/data/sceneparts/tree10/leaves.194.obj deleted file mode 100644 index b2e710538..000000000 --- a/data/sceneparts/tree10/leaves.194.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.194 -v 0.000450 0.345305 1.325488 -v 0.018835 0.372502 1.324976 -v -0.019493 0.371373 1.326298 -v -0.001887 0.425202 1.325935 -v 0.018056 0.399134 1.325125 -v -0.020272 0.398006 1.326447 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0346 -0.0046 0.9994 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.195.obj b/data/sceneparts/tree10/leaves.195.obj deleted file mode 100644 index 1acfa2275..000000000 --- a/data/sceneparts/tree10/leaves.195.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.195 -v 0.004044 0.350198 1.327501 -v 0.025230 0.377364 1.334807 -v 0.006314 0.434565 1.342615 -v -0.015630 0.379277 1.330271 -v -0.014873 0.407399 1.335309 -v 0.025987 0.405487 1.339845 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1167 -0.1721 0.9781 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.196.obj b/data/sceneparts/tree10/leaves.196.obj deleted file mode 100644 index c3d213f5c..000000000 --- a/data/sceneparts/tree10/leaves.196.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.196 -v 0.007875 0.355415 1.329646 -v 0.055329 0.393822 1.327065 -v 0.032914 0.356937 1.330462 -v 0.014473 0.379497 1.327109 -v 0.030291 0.392299 1.326249 -v 0.048732 0.369740 1.329602 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0394 0.1153 0.9925 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.197.obj b/data/sceneparts/tree10/leaves.197.obj deleted file mode 100644 index a3b282a43..000000000 --- a/data/sceneparts/tree10/leaves.197.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.197 -v -0.095515 0.311424 1.288450 -v -0.077114 0.366576 1.287697 -v -0.137235 0.446324 1.278382 -v -0.141729 0.346205 1.282492 -v -0.155636 0.391172 1.279136 -v -0.091021 0.411543 1.284341 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0943 0.0451 0.9945 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.198.obj b/data/sceneparts/tree10/leaves.198.obj deleted file mode 100644 index 07948c1ae..000000000 --- a/data/sceneparts/tree10/leaves.198.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.198 -v -0.098500 0.314941 1.288087 -v -0.103627 0.337923 1.251334 -v -0.170267 0.357992 1.222597 -v -0.141218 0.320660 1.281180 -v -0.165140 0.335010 1.259350 -v -0.127549 0.352273 1.229504 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0285 0.8493 0.5271 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.199.obj b/data/sceneparts/tree10/leaves.199.obj deleted file mode 100644 index 42e84c118..000000000 --- a/data/sceneparts/tree10/leaves.199.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.199 -v -0.101362 0.318314 1.287738 -v -0.125465 0.345841 1.256685 -v -0.207806 0.354349 1.255775 -v -0.148221 0.314811 1.297482 -v -0.183702 0.326823 1.286828 -v -0.160947 0.357852 1.246031 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0730 0.7738 0.6292 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.200.obj b/data/sceneparts/tree10/leaves.200.obj deleted file mode 100644 index c3f6858bf..000000000 --- a/data/sceneparts/tree10/leaves.200.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.200 -v -0.104224 0.321687 1.287389 -v -0.125685 0.356137 1.303550 -v -0.199943 0.367086 1.296832 -v -0.146576 0.317503 1.277524 -v -0.178483 0.332636 1.280671 -v -0.157591 0.371270 1.306697 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1504 -0.4951 0.8557 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.201.obj b/data/sceneparts/tree10/leaves.201.obj deleted file mode 100644 index 66417903a..000000000 --- a/data/sceneparts/tree10/leaves.201.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.201 -v -0.107086 0.325060 1.287041 -v -0.139334 0.404281 1.293392 -v -0.099898 0.358163 1.296717 -v -0.135773 0.344771 1.281599 -v -0.146522 0.371178 1.283716 -v -0.110648 0.384570 1.298834 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.3151 -0.2026 0.9272 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.202.obj b/data/sceneparts/tree10/leaves.202.obj deleted file mode 100644 index 35e2ca693..000000000 --- a/data/sceneparts/tree10/leaves.202.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.202 -v -0.109949 0.328433 1.286692 -v -0.100639 0.354343 1.290140 -v -0.123515 0.393569 1.275007 -v -0.128302 0.345947 1.275454 -v -0.132824 0.367659 1.271559 -v -0.105161 0.376055 1.286245 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4815 0.0566 0.8746 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.203.obj b/data/sceneparts/tree10/leaves.203.obj deleted file mode 100644 index 5cdc2d122..000000000 --- a/data/sceneparts/tree10/leaves.203.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.203 -v -0.214543 0.231857 1.303240 -v -0.214504 0.278008 1.328262 -v -0.270177 0.346781 1.308977 -v -0.251672 0.262322 1.282043 -v -0.270217 0.300630 1.283956 -v -0.233048 0.316316 1.330174 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6659 -0.3551 0.6561 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.204.obj b/data/sceneparts/tree10/leaves.204.obj deleted file mode 100644 index 91ee72a4c..000000000 --- a/data/sceneparts/tree10/leaves.204.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.204 -v -0.216265 0.234290 1.302518 -v -0.314836 0.277741 1.234595 -v -0.231407 0.270807 1.268263 -v -0.266837 0.226741 1.291491 -v -0.299694 0.241225 1.268849 -v -0.264264 0.285291 1.245622 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2548 0.6033 0.7557 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.205.obj b/data/sceneparts/tree10/leaves.205.obj deleted file mode 100644 index 97abeed44..000000000 --- a/data/sceneparts/tree10/leaves.205.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.205 -v -0.218119 0.236910 1.301741 -v -0.234443 0.273719 1.281226 -v -0.309075 0.283429 1.260900 -v -0.262431 0.231114 1.295029 -v -0.292750 0.246621 1.281416 -v -0.264762 0.289225 1.267612 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1889 0.4128 0.8910 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.206.obj b/data/sceneparts/tree10/leaves.206.obj deleted file mode 100644 index 3c7e2ea6d..000000000 --- a/data/sceneparts/tree10/leaves.206.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.206 -v -0.219720 0.239173 1.301070 -v -0.214925 0.278892 1.292269 -v -0.250220 0.313133 1.241521 -v -0.244849 0.248761 1.270171 -v -0.255015 0.273414 1.250322 -v -0.225092 0.303546 1.272419 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.7181 0.2321 0.6561 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.207.obj b/data/sceneparts/tree10/leaves.207.obj deleted file mode 100644 index ee3a1490a..000000000 --- a/data/sceneparts/tree10/leaves.207.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.207 -v -0.221562 0.241776 1.300297 -v -0.206837 0.270010 1.278538 -v -0.247873 0.269801 1.297176 -v -0.238941 0.326165 1.262976 -v -0.212630 0.298140 1.266098 -v -0.253666 0.297931 1.284735 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3698 0.4384 0.8192 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.208.obj b/data/sceneparts/tree10/leaves.208.obj deleted file mode 100644 index e55e79668..000000000 --- a/data/sceneparts/tree10/leaves.208.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.208 -v -0.223199 0.244090 1.299611 -v -0.213953 0.270636 1.294040 -v -0.229878 0.298474 1.256421 -v -0.236898 0.253800 1.276389 -v -0.239124 0.271928 1.261992 -v -0.216179 0.288764 1.279644 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.7221 0.3737 0.5822 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.209.obj b/data/sceneparts/tree10/leaves.209.obj deleted file mode 100644 index 39861e478..000000000 --- a/data/sceneparts/tree10/leaves.209.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.209 -v -0.224945 0.246557 1.298879 -v -0.231054 0.254719 1.274781 -v -0.272486 0.252943 1.256960 -v -0.250530 0.242652 1.295031 -v -0.266377 0.244781 1.281058 -v -0.246901 0.256848 1.260808 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1933 0.9133 0.3584 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.210.obj b/data/sceneparts/tree10/leaves.210.obj deleted file mode 100644 index 29c47561e..000000000 --- a/data/sceneparts/tree10/leaves.210.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.210 -v -0.174124 -0.083455 1.513114 -v -0.188299 -0.091463 1.567841 -v -0.127653 -0.127956 1.636335 -v -0.128968 -0.105115 1.540535 -v -0.113478 -0.119949 1.581609 -v -0.172809 -0.106296 1.608915 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3124 0.9250 0.2163 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.211.obj b/data/sceneparts/tree10/leaves.211.obj deleted file mode 100644 index ee555adbe..000000000 --- a/data/sceneparts/tree10/leaves.211.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.211 -v -0.174952 -0.086467 1.518603 -v -0.225940 -0.096548 1.534408 -v -0.256825 -0.180026 1.563726 -v -0.178546 -0.138759 1.532879 -v -0.205837 -0.169945 1.547921 -v -0.253231 -0.127734 1.549449 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2439 0.2398 0.9397 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.212.obj b/data/sceneparts/tree10/leaves.212.obj deleted file mode 100644 index 3c04338da..000000000 --- a/data/sceneparts/tree10/leaves.212.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.212 -v -0.175844 -0.089710 1.524513 -v -0.221039 -0.099058 1.546793 -v -0.242294 -0.174938 1.586868 -v -0.174948 -0.137182 1.543802 -v -0.197098 -0.165591 1.564587 -v -0.243189 -0.127467 1.567579 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3523 0.3580 0.8647 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.213.obj b/data/sceneparts/tree10/leaves.213.obj deleted file mode 100644 index c03b75340..000000000 --- a/data/sceneparts/tree10/leaves.213.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.213 -v -0.176614 -0.092512 1.529617 -v -0.184064 -0.112790 1.565025 -v -0.145333 -0.167977 1.588980 -v -0.148310 -0.122543 1.533785 -v -0.137883 -0.147698 1.553572 -v -0.173637 -0.137945 1.584813 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.5999 0.6333 0.4889 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.214.obj b/data/sceneparts/tree10/leaves.214.obj deleted file mode 100644 index c21894346..000000000 --- a/data/sceneparts/tree10/leaves.214.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.214 -v -0.177501 -0.095734 1.535489 -v -0.196458 -0.095808 1.561069 -v -0.178596 -0.097748 1.612970 -v -0.159273 -0.097002 1.561564 -v -0.159639 -0.097673 1.587391 -v -0.196823 -0.096480 1.586896 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0317 0.9991 0.0264 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.215.obj b/data/sceneparts/tree10/leaves.215.obj deleted file mode 100644 index f764e5838..000000000 --- a/data/sceneparts/tree10/leaves.215.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.215 -v -0.178288 -0.098599 1.540709 -v -0.207696 -0.099137 1.548864 -v -0.225348 -0.115845 1.595570 -v -0.180254 -0.109558 1.569128 -v -0.195941 -0.115306 1.587415 -v -0.223382 -0.104886 1.567151 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0838 0.9278 0.3636 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.216.obj b/data/sceneparts/tree10/leaves.216.obj deleted file mode 100644 index b37e57e35..000000000 --- a/data/sceneparts/tree10/leaves.216.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.216 -v -0.179128 -0.101653 1.546274 -v -0.199276 -0.111385 1.553991 -v -0.201575 -0.146845 1.574099 -v -0.173945 -0.122048 1.557107 -v -0.181428 -0.137113 1.566382 -v -0.206758 -0.126449 1.563266 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0978 0.4861 0.8684 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.217.obj b/data/sceneparts/tree10/leaves.217.obj deleted file mode 100644 index 6294d33cf..000000000 --- a/data/sceneparts/tree10/leaves.217.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.217 -v -0.071273 0.241901 1.381573 -v -0.029479 0.280163 1.381265 -v -0.037647 0.371247 1.415788 -v -0.090650 0.289870 1.404691 -v -0.079441 0.332985 1.416095 -v -0.018270 0.323279 1.392670 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2953 -0.3153 0.9019 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.218.obj b/data/sceneparts/tree10/leaves.218.obj deleted file mode 100644 index 71d644b27..000000000 --- a/data/sceneparts/tree10/leaves.218.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.218 -v -0.067674 0.245500 1.384870 -v -0.043147 0.260515 1.415808 -v -0.056735 0.321539 1.453238 -v -0.084910 0.281177 1.399511 -v -0.081263 0.306524 1.422300 -v -0.039500 0.285862 1.438598 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5224 -0.5273 0.6701 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.219.obj b/data/sceneparts/tree10/leaves.219.obj deleted file mode 100644 index 087b13a55..000000000 --- a/data/sceneparts/tree10/leaves.219.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.219 -v -0.064596 0.248762 1.387842 -v -0.020137 0.247219 1.400824 -v 0.007209 0.272428 1.471585 -v -0.061185 0.266083 1.430689 -v -0.037250 0.273971 1.458603 -v 0.003798 0.255107 1.428738 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1429 -0.9136 0.3807 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.220.obj b/data/sceneparts/tree10/leaves.220.obj deleted file mode 100644 index ed9083529..000000000 --- a/data/sceneparts/tree10/leaves.220.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.220 -v -0.060049 0.251399 1.390428 -v -0.031754 0.233347 1.386120 -v 0.018901 0.244460 1.412910 -v -0.035710 0.264825 1.409724 -v -0.009393 0.262512 1.417218 -v -0.005438 0.231034 1.393614 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2675 -0.5994 0.7545 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.221.obj b/data/sceneparts/tree10/leaves.221.obj deleted file mode 100644 index 588f678ee..000000000 --- a/data/sceneparts/tree10/leaves.221.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.221 -v -0.055089 0.253214 1.392372 -v -0.034695 0.243126 1.396083 -v -0.000281 0.255560 1.380509 -v -0.038944 0.264867 1.380752 -v -0.020675 0.265649 1.376797 -v -0.016426 0.243908 1.392129 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1468 0.5891 0.7946 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.222.obj b/data/sceneparts/tree10/leaves.222.obj deleted file mode 100644 index 6b92aa2b7..000000000 --- a/data/sceneparts/tree10/leaves.222.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.222 -v -0.062211 0.252470 1.391122 -v -0.048842 0.273950 1.416146 -v -0.076957 0.324210 1.437403 -v -0.085411 0.278816 1.396952 -v -0.090326 0.302729 1.412379 -v -0.053757 0.297864 1.431573 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4447 -0.5483 0.7082 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.223.obj b/data/sceneparts/tree10/leaves.223.obj deleted file mode 100644 index 6ebd3877e..000000000 --- a/data/sceneparts/tree10/leaves.223.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.223 -v -0.061585 0.254208 1.392615 -v -0.042339 0.248726 1.413050 -v -0.038224 0.274236 1.455079 -v -0.065257 0.273043 1.413824 -v -0.057470 0.279719 1.434645 -v -0.034553 0.255402 1.433871 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6460 -0.6229 0.4413 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.224.obj b/data/sceneparts/tree10/leaves.224.obj deleted file mode 100644 index afdacd9af..000000000 --- a/data/sceneparts/tree10/leaves.224.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.224 -v -0.260962 0.038889 1.473228 -v -0.247240 0.063394 1.431649 -v -0.301266 0.085402 1.367708 -v -0.301553 0.045393 1.444460 -v -0.314988 0.060897 1.409287 -v -0.260675 0.078898 1.396476 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1820 0.8722 0.4540 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.225.obj b/data/sceneparts/tree10/leaves.225.obj deleted file mode 100644 index ff95f5d30..000000000 --- a/data/sceneparts/tree10/leaves.225.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.225 -v -0.264796 0.041670 1.476774 -v -0.305984 0.067809 1.463709 -v -0.384794 0.032743 1.451530 -v -0.303608 0.009580 1.473009 -v -0.343607 0.006604 1.464594 -v -0.345983 0.064834 1.455295 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2140 0.1455 0.9659 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.226.obj b/data/sceneparts/tree10/leaves.226.obj deleted file mode 100644 index 4ea41f4a7..000000000 --- a/data/sceneparts/tree10/leaves.226.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.226 -v -0.268474 0.044338 1.480174 -v -0.278919 0.083997 1.492533 -v -0.342881 0.102266 1.524702 -v -0.307633 0.043298 1.497500 -v -0.332435 0.062607 1.512342 -v -0.303722 0.103306 1.507376 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4023 -0.1741 0.8988 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.227.obj b/data/sceneparts/tree10/leaves.227.obj deleted file mode 100644 index 54409899d..000000000 --- a/data/sceneparts/tree10/leaves.227.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.227 -v -0.272151 0.047005 1.483573 -v -0.264152 0.078236 1.504475 -v -0.307195 0.108318 1.544912 -v -0.303512 0.056651 1.503564 -v -0.315193 0.077088 1.524010 -v -0.275833 0.098673 1.524921 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3019 -0.5824 0.7547 -vn 0.3020 -0.5824 0.7547 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.228.obj b/data/sceneparts/tree10/leaves.228.obj deleted file mode 100644 index 93b08ebe9..000000000 --- a/data/sceneparts/tree10/leaves.228.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.228 -v -0.275828 0.049673 1.486973 -v -0.306994 0.063316 1.503394 -v -0.274437 0.087407 1.485828 -v -0.320490 0.126738 1.509886 -v -0.321881 0.089004 1.511032 -v -0.289325 0.113095 1.493465 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.4694 0.0095 0.8829 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.229.obj b/data/sceneparts/tree10/leaves.229.obj deleted file mode 100644 index 0edb46a23..000000000 --- a/data/sceneparts/tree10/leaves.229.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.229 -v -0.279505 0.052340 1.490373 -v -0.297961 0.064823 1.480296 -v -0.338784 0.056114 1.486374 -v -0.300569 0.042374 1.497784 -v -0.320329 0.043632 1.496451 -v -0.317720 0.066081 1.478963 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0140 0.6155 0.7880 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.230.obj b/data/sceneparts/tree10/leaves.230.obj deleted file mode 100644 index 483878974..000000000 --- a/data/sceneparts/tree10/leaves.230.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.230 -v 0.264538 0.019757 1.482202 -v 0.319019 -0.011086 1.494881 -v 0.419492 0.027790 1.471737 -v 0.313359 0.055955 1.462546 -v 0.365010 0.058633 1.459058 -v 0.370670 -0.008409 1.491393 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0381 0.4367 0.8988 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.231.obj b/data/sceneparts/tree10/leaves.231.obj deleted file mode 100644 index 69e1e4c52..000000000 --- a/data/sceneparts/tree10/leaves.231.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.231 -v 0.267709 0.020271 1.482324 -v 0.279023 -0.007664 1.439897 -v 0.350428 0.006460 1.387348 -v 0.311542 0.038999 1.461434 -v 0.339115 0.034395 1.429775 -v 0.306596 -0.012268 1.408238 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.5365 -0.6320 0.5592 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.232.obj b/data/sceneparts/tree10/leaves.232.obj deleted file mode 100644 index d2f33702d..000000000 --- a/data/sceneparts/tree10/leaves.232.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.232 -v 0.270750 0.020764 1.482441 -v 0.310320 0.005683 1.487197 -v 0.364643 0.041514 1.521383 -v 0.293776 0.049677 1.503645 -v 0.325073 0.056594 1.516626 -v 0.341617 0.012600 1.500178 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2656 -0.4236 0.8660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.233.obj b/data/sceneparts/tree10/leaves.233.obj deleted file mode 100644 index d2bc2f74b..000000000 --- a/data/sceneparts/tree10/leaves.233.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.233 -v 0.273792 0.021257 1.482557 -v 0.317173 0.023578 1.475787 -v 0.358689 0.086421 1.484724 -v 0.287008 0.062379 1.490773 -v 0.315307 0.084100 1.491495 -v 0.345472 0.045299 1.476509 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1623 -0.2432 0.9563 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.234.obj b/data/sceneparts/tree10/leaves.234.obj deleted file mode 100644 index b97af0906..000000000 --- a/data/sceneparts/tree10/leaves.234.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.234 -v 0.276833 0.021750 1.482674 -v 0.305281 0.005568 1.499179 -v 0.351974 0.036533 1.528487 -v 0.298479 0.047787 1.496711 -v 0.323526 0.052715 1.511982 -v 0.330328 0.010496 1.514450 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5155 -0.0330 0.8562 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.235.obj b/data/sceneparts/tree10/leaves.235.obj deleted file mode 100644 index 5dfc1d40f..000000000 --- a/data/sceneparts/tree10/leaves.235.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.235 -v 0.279874 0.022243 1.482791 -v 0.290348 0.000409 1.473919 -v 0.321366 -0.001499 1.442085 -v 0.297062 0.028248 1.464526 -v 0.310893 0.020334 1.450957 -v 0.304178 -0.007505 1.460350 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.7167 0.0615 0.6947 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.236.obj b/data/sceneparts/tree10/leaves.236.obj deleted file mode 100644 index 2be56eba6..000000000 --- a/data/sceneparts/tree10/leaves.236.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.236 -v 0.223966 -0.089731 1.565848 -v 0.228002 -0.137870 1.578328 -v 0.301353 -0.182829 1.575825 -v 0.271522 -0.103657 1.560020 -v 0.297317 -0.134690 1.563345 -v 0.253798 -0.168903 1.581653 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1925 0.2613 0.9459 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.237.obj b/data/sceneparts/tree10/leaves.237.obj deleted file mode 100644 index b64f88f02..000000000 --- a/data/sceneparts/tree10/leaves.237.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.237 -v 0.225697 -0.093724 1.568617 -v 0.220382 -0.118400 1.612541 -v 0.286863 -0.145687 1.662268 -v 0.271789 -0.103690 1.587128 -v 0.292177 -0.121011 1.618345 -v 0.240771 -0.135721 1.643758 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0078 0.8722 0.4891 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.238.obj b/data/sceneparts/tree10/leaves.238.obj deleted file mode 100644 index cdf500fbb..000000000 --- a/data/sceneparts/tree10/leaves.238.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.238 -v 0.227357 -0.097553 1.571272 -v 0.193468 -0.127772 1.592149 -v 0.212267 -0.201525 1.632637 -v 0.251185 -0.136648 1.591305 -v 0.246155 -0.171305 1.611760 -v 0.188438 -0.162430 1.612604 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0890 0.4966 0.8634 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.239.obj b/data/sceneparts/tree10/leaves.239.obj deleted file mode 100644 index bcf8e397d..000000000 --- a/data/sceneparts/tree10/leaves.239.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.239 -v 0.229016 -0.101382 1.573928 -v 0.228232 -0.133112 1.597894 -v 0.278085 -0.180092 1.601728 -v 0.262513 -0.122125 1.568495 -v 0.278869 -0.148362 1.577762 -v 0.244588 -0.159349 1.607161 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4463 0.5323 0.7193 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.240.obj b/data/sceneparts/tree10/leaves.240.obj deleted file mode 100644 index 6c2910414..000000000 --- a/data/sceneparts/tree10/leaves.240.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.240 -v 0.230676 -0.105211 1.576583 -v 0.234466 -0.132641 1.584521 -v 0.259889 -0.147012 1.624725 -v 0.246362 -0.105648 1.600740 -v 0.256099 -0.119582 1.616787 -v 0.244204 -0.146575 1.600568 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.8376 0.0419 0.5446 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.241.obj b/data/sceneparts/tree10/leaves.241.obj deleted file mode 100644 index d00439569..000000000 --- a/data/sceneparts/tree10/leaves.241.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.241 -v 0.232336 -0.109040 1.579238 -v 0.221074 -0.126398 1.595329 -v 0.241648 -0.145524 1.630761 -v 0.249806 -0.116005 1.597496 -v 0.252911 -0.128166 1.614670 -v 0.224178 -0.138559 1.612504 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3144 0.7470 0.5858 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.242.obj b/data/sceneparts/tree10/leaves.242.obj deleted file mode 100644 index c64df69e0..000000000 --- a/data/sceneparts/tree10/leaves.242.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.242 -v 0.144903 0.197444 1.475344 -v 0.258624 0.263224 1.460651 -v 0.167596 0.246773 1.475367 -v 0.198025 0.191968 1.465526 -v 0.235931 0.213895 1.460628 -v 0.205503 0.268699 1.470469 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1732 -0.0801 0.9816 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.243.obj b/data/sceneparts/tree10/leaves.243.obj deleted file mode 100644 index 4f0f42dda..000000000 --- a/data/sceneparts/tree10/leaves.243.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.243 -v 0.146781 0.200510 1.473206 -v 0.175404 0.263141 1.352794 -v 0.123890 0.227297 1.428433 -v 0.188755 0.215478 1.437704 -v 0.198296 0.236354 1.397567 -v 0.133431 0.248174 1.388296 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0912 0.8744 0.4765 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.244.obj b/data/sceneparts/tree10/leaves.244.obj deleted file mode 100644 index 425720cf4..000000000 --- a/data/sceneparts/tree10/leaves.244.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.244 -v 0.148583 0.203451 1.471155 -v 0.179538 0.227675 1.493312 -v 0.163137 0.286515 1.541557 -v 0.127330 0.234602 1.495932 -v 0.132182 0.262290 1.519400 -v 0.184389 0.255363 1.516780 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0466 -0.6411 0.7660 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.245.obj b/data/sceneparts/tree10/leaves.245.obj deleted file mode 100644 index 0f68fdcb8..000000000 --- a/data/sceneparts/tree10/leaves.245.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.245 -v 0.150384 0.206391 1.469104 -v 0.186351 0.210802 1.450366 -v 0.223714 0.270430 1.449458 -v 0.163304 0.244672 1.474746 -v 0.187747 0.266019 1.468197 -v 0.210794 0.232149 1.443817 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4703 -0.2820 0.8363 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.246.obj b/data/sceneparts/tree10/leaves.246.obj deleted file mode 100644 index dad908ea0..000000000 --- a/data/sceneparts/tree10/leaves.246.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.246 -v 0.152185 0.209331 1.467054 -v 0.183437 0.201892 1.454279 -v 0.215552 0.238731 1.420099 -v 0.163177 0.236370 1.448525 -v 0.184299 0.246170 1.432874 -v 0.204559 0.211693 1.438628 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4263 0.3870 0.8176 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.247.obj b/data/sceneparts/tree10/leaves.247.obj deleted file mode 100644 index 9db8812ab..000000000 --- a/data/sceneparts/tree10/leaves.247.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.247 -v 0.153986 0.212271 1.465003 -v 0.174075 0.219079 1.449663 -v 0.170385 0.229555 1.405894 -v 0.144830 0.216986 1.440937 -v 0.150296 0.222747 1.421234 -v 0.179541 0.224840 1.429959 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1408 0.9601 0.2417 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.248.obj b/data/sceneparts/tree10/leaves.248.obj deleted file mode 100644 index aa7039c0a..000000000 --- a/data/sceneparts/tree10/leaves.248.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.248 -v -0.026620 0.286956 1.700939 -v -0.017286 0.304288 1.746006 -v -0.070263 0.353445 1.790437 -v -0.065049 0.313949 1.715538 -v -0.079596 0.336112 1.745371 -v -0.031833 0.326452 1.775838 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4200 -0.8145 0.4002 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.249.obj b/data/sceneparts/tree10/leaves.249.obj deleted file mode 100644 index 36505ce27..000000000 --- a/data/sceneparts/tree10/leaves.249.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.249 -v -0.026832 0.289294 1.702910 -v 0.015803 0.292231 1.735160 -v 0.039358 0.367038 1.783934 -v -0.025340 0.338186 1.724676 -v -0.003277 0.364101 1.751684 -v 0.037867 0.318146 1.762168 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5565 -0.3237 0.7652 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.250.obj b/data/sceneparts/tree10/leaves.250.obj deleted file mode 100644 index fcf499e30..000000000 --- a/data/sceneparts/tree10/leaves.250.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.250 -v -0.027060 0.291812 1.705032 -v -0.008796 0.339546 1.716731 -v -0.060190 0.413609 1.724056 -v -0.067411 0.325276 1.706016 -v -0.078455 0.365875 1.712358 -v -0.019839 0.380145 1.723072 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1321 -0.1880 0.9732 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.251.obj b/data/sceneparts/tree10/leaves.251.obj deleted file mode 100644 index 28385a108..000000000 --- a/data/sceneparts/tree10/leaves.251.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.251 -v -0.027258 0.293986 1.706866 -v -0.023316 0.308812 1.742048 -v -0.069493 0.344876 1.772882 -v -0.059357 0.313087 1.715694 -v -0.073436 0.330050 1.737699 -v -0.037394 0.325775 1.764053 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3873 -0.8333 0.3945 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.252.obj b/data/sceneparts/tree10/leaves.252.obj deleted file mode 100644 index de4b09c03..000000000 --- a/data/sceneparts/tree10/leaves.252.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.252 -v -0.027485 0.296488 1.708974 -v 0.007631 0.313793 1.692529 -v 0.022364 0.385545 1.692510 -v -0.029368 0.338554 1.714444 -v -0.012752 0.368240 1.708956 -v 0.024247 0.343479 1.687041 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4599 -0.0942 0.8829 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.253.obj b/data/sceneparts/tree10/leaves.253.obj deleted file mode 100644 index 7da1e5b8c..000000000 --- a/data/sceneparts/tree10/leaves.253.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.253 -v -0.027687 0.298712 1.710849 -v -0.003895 0.326628 1.708615 -v -0.018440 0.387173 1.720490 -v -0.045314 0.329770 1.719510 -v -0.042232 0.359257 1.722724 -v -0.000813 0.356115 1.711829 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2430 -0.1302 0.9613 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.254.obj b/data/sceneparts/tree10/leaves.254.obj deleted file mode 100644 index bd8ade711..000000000 --- a/data/sceneparts/tree10/leaves.254.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.254 -v -0.027902 0.301082 1.712847 -v -0.027473 0.313823 1.735202 -v -0.060532 0.339390 1.750173 -v -0.050085 0.313880 1.715376 -v -0.060961 0.326650 1.727818 -v -0.038349 0.326592 1.747644 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4042 -0.7913 0.4587 -vn -0.4043 -0.7913 0.4587 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.255.obj b/data/sceneparts/tree10/leaves.255.obj deleted file mode 100644 index 76a2c5832..000000000 --- a/data/sceneparts/tree10/leaves.255.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.255 -v 0.231648 0.147048 1.551753 -v 0.263594 0.110107 1.556686 -v 0.334929 0.102153 1.511761 -v 0.268556 0.154059 1.520159 -v 0.302983 0.139094 1.506828 -v 0.298021 0.095142 1.543355 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4956 0.5214 0.6947 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.256.obj b/data/sceneparts/tree10/leaves.256.obj deleted file mode 100644 index 9e0ac6b99..000000000 --- a/data/sceneparts/tree10/leaves.256.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.256 -v 0.237465 0.148653 1.554387 -v 0.284162 0.120648 1.554387 -v 0.369566 0.159752 1.554387 -v 0.278835 0.184056 1.554387 -v 0.322868 0.187756 1.554387 -v 0.328196 0.124348 1.554387 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0000 0.0000 1.0000 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.257.obj b/data/sceneparts/tree10/leaves.257.obj deleted file mode 100644 index f381c3626..000000000 --- a/data/sceneparts/tree10/leaves.257.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.257 -v 0.243043 0.150192 1.556913 -v 0.277138 0.157596 1.574170 -v 0.311716 0.214706 1.567016 -v 0.254730 0.185797 1.546392 -v 0.277621 0.207302 1.549760 -v 0.300029 0.179101 1.577537 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4818 0.3900 0.7847 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.258.obj b/data/sceneparts/tree10/leaves.258.obj deleted file mode 100644 index b2a1af59c..000000000 --- a/data/sceneparts/tree10/leaves.258.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.258 -v 0.248621 0.151730 1.559439 -v 0.274462 0.135482 1.543784 -v 0.321743 0.162415 1.520520 -v 0.271528 0.175103 1.549148 -v 0.295901 0.178664 1.536174 -v 0.298836 0.139043 1.530811 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4777 -0.0830 0.8746 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.259.obj b/data/sceneparts/tree10/leaves.259.obj deleted file mode 100644 index b15fff762..000000000 --- a/data/sceneparts/tree10/leaves.259.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.259 -v 0.254199 0.153269 1.561965 -v 0.289976 0.162494 1.564327 -v 0.274427 0.122290 1.560629 -v 0.338206 0.120638 1.563503 -v 0.302429 0.111413 1.561141 -v 0.317978 0.151617 1.564839 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0468 -0.0735 0.9962 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.260.obj b/data/sceneparts/tree10/leaves.260.obj deleted file mode 100644 index 5125b0516..000000000 --- a/data/sceneparts/tree10/leaves.260.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.260 -v 0.259777 0.154808 1.564491 -v 0.284158 0.156743 1.561400 -v 0.304106 0.192236 1.549121 -v 0.264949 0.177825 1.557336 -v 0.279725 0.190301 1.552213 -v 0.298934 0.169219 1.556276 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0994 0.2749 0.9563 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.261.obj b/data/sceneparts/tree10/leaves.261.obj deleted file mode 100644 index 2c823b7eb..000000000 --- a/data/sceneparts/tree10/leaves.261.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.261 -v -0.016622 -0.264415 1.833965 -v -0.029439 -0.321198 1.834968 -v 0.038843 -0.394835 1.836176 -v 0.033171 -0.294580 1.834436 -v 0.051660 -0.338053 1.835173 -v -0.010951 -0.364671 1.835705 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0011 0.0174 0.9998 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.262.obj b/data/sceneparts/tree10/leaves.262.obj deleted file mode 100644 index 9f635a27a..000000000 --- a/data/sceneparts/tree10/leaves.262.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.262 -v -0.017591 -0.269389 1.839159 -v -0.055603 -0.286510 1.861997 -v -0.004224 -0.282745 1.882777 -v -0.054558 -0.315105 1.938843 -v -0.016546 -0.297984 1.916005 -v -0.067925 -0.301749 1.895225 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2061 0.9162 0.3437 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.263.obj b/data/sceneparts/tree10/leaves.263.obj deleted file mode 100644 index ca36c72c8..000000000 --- a/data/sceneparts/tree10/leaves.263.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.263 -v -0.018635 -0.274744 1.844751 -v -0.065736 -0.289565 1.853336 -v -0.019538 -0.324835 1.846119 -v -0.090640 -0.372112 1.859680 -v -0.089737 -0.322021 1.858312 -v -0.043540 -0.357291 1.851096 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1720 0.0238 0.9848 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.264.obj b/data/sceneparts/tree10/leaves.264.obj deleted file mode 100644 index af96c788a..000000000 --- a/data/sceneparts/tree10/leaves.264.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.264 -v -0.019537 -0.279370 1.849582 -v 0.004351 -0.315579 1.867413 -v -0.048251 -0.316372 1.852036 -v -0.026776 -0.389188 1.880010 -v -0.050664 -0.352978 1.862179 -v 0.001938 -0.352185 1.877555 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2737 0.2735 0.9221 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.265.obj b/data/sceneparts/tree10/leaves.265.obj deleted file mode 100644 index 1db82dec6..000000000 --- a/data/sceneparts/tree10/leaves.265.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.265 -v -0.020574 -0.284690 1.855138 -v -0.025742 -0.307497 1.879042 -v 0.012020 -0.348586 1.893650 -v 0.006324 -0.304481 1.856909 -v 0.017188 -0.325779 1.869747 -v -0.014877 -0.328796 1.891879 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4080 0.6149 0.6749 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.266.obj b/data/sceneparts/tree10/leaves.266.obj deleted file mode 100644 index 6bee3ac83..000000000 --- a/data/sceneparts/tree10/leaves.266.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.266 -v -0.021495 -0.289420 1.860078 -v -0.022322 -0.320678 1.868571 -v -0.051994 -0.297169 1.867801 -v -0.068483 -0.347929 1.884402 -v -0.067657 -0.316672 1.875908 -v -0.037984 -0.340181 1.876679 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1764 0.2538 0.9511 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.267.obj b/data/sceneparts/tree10/leaves.267.obj deleted file mode 100644 index 0249e8417..000000000 --- a/data/sceneparts/tree10/leaves.267.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.267 -v -0.022478 -0.294463 1.865344 -v -0.049426 -0.305956 1.870049 -v -0.058094 -0.351501 1.891740 -v -0.019274 -0.320995 1.878236 -v -0.031146 -0.340007 1.887035 -v -0.061298 -0.324969 1.878848 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0280 0.4342 0.9004 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.268.obj b/data/sceneparts/tree10/leaves.268.obj deleted file mode 100644 index cb94b3185..000000000 --- a/data/sceneparts/tree10/leaves.268.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.268 -v -0.245048 -0.118901 1.761116 -v -0.289528 -0.087822 1.786894 -v -0.255204 -0.141869 1.815688 -v -0.327002 -0.106735 1.881641 -v -0.316846 -0.083766 1.827069 -v -0.282522 -0.137814 1.855863 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.6686 0.6327 0.3907 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.269.obj b/data/sceneparts/tree10/leaves.269.obj deleted file mode 100644 index 859c95f59..000000000 --- a/data/sceneparts/tree10/leaves.269.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.269 -v -0.247559 -0.118561 1.765807 -v -0.251747 -0.116010 1.821877 -v -0.301101 -0.179561 1.876213 -v -0.279066 -0.161779 1.783341 -v -0.296914 -0.182112 1.820143 -v -0.269594 -0.136344 1.858679 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.8215 -0.5636 0.0870 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.270.obj b/data/sceneparts/tree10/leaves.270.obj deleted file mode 100644 index 40636e797..000000000 --- a/data/sceneparts/tree10/leaves.270.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.270 -v -0.250264 -0.118196 1.770859 -v -0.271704 -0.078949 1.862316 -v -0.271332 -0.124541 1.806418 -v -0.243489 -0.085686 1.796272 -v -0.250636 -0.072604 1.826757 -v -0.278479 -0.111459 1.836904 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.7943 -0.4681 0.3871 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.271.obj b/data/sceneparts/tree10/leaves.271.obj deleted file mode 100644 index 99188edc2..000000000 --- a/data/sceneparts/tree10/leaves.271.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.271 -v -0.252600 -0.117881 1.775223 -v -0.277536 -0.092596 1.778393 -v -0.326530 -0.096492 1.815369 -v -0.276950 -0.128907 1.798817 -v -0.301593 -0.121777 1.812199 -v -0.302180 -0.085466 1.791774 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.5238 0.4240 0.7388 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.272.obj b/data/sceneparts/tree10/leaves.272.obj deleted file mode 100644 index 248d11337..000000000 --- a/data/sceneparts/tree10/leaves.272.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.272 -v -0.255287 -0.117518 1.780242 -v -0.286208 -0.110537 1.776875 -v -0.326631 -0.147813 1.776344 -v -0.271929 -0.144695 1.781011 -v -0.295711 -0.154794 1.779712 -v -0.309989 -0.120636 1.775575 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0894 0.0828 0.9925 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.273.obj b/data/sceneparts/tree10/leaves.273.obj deleted file mode 100644 index a65142012..000000000 --- a/data/sceneparts/tree10/leaves.273.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.273 -v -0.257675 -0.117195 1.784704 -v -0.286314 -0.113423 1.783572 -v -0.319681 -0.150483 1.783895 -v -0.270373 -0.143159 1.785297 -v -0.291042 -0.154255 1.785027 -v -0.306983 -0.124519 1.783302 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0343 0.0396 0.9986 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.274.obj b/data/sceneparts/tree10/leaves.274.obj deleted file mode 100644 index 6f912efd6..000000000 --- a/data/sceneparts/tree10/leaves.274.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.274 -v -0.260222 -0.116851 1.789461 -v -0.262615 -0.104224 1.810817 -v -0.260234 -0.121920 1.849931 -v -0.257837 -0.132857 1.808418 -v -0.257841 -0.134546 1.828575 -v -0.262619 -0.105914 1.830974 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.9865 0.1635 0.0139 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.275.obj b/data/sceneparts/tree10/leaves.275.obj deleted file mode 100644 index 16cf3c3bc..000000000 --- a/data/sceneparts/tree10/leaves.275.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.275 -v -0.203625 -0.221514 1.676997 -v -0.257821 -0.198908 1.673992 -v -0.342947 -0.254023 1.672003 -v -0.242310 -0.265793 1.676673 -v -0.288751 -0.276630 1.675008 -v -0.304262 -0.209744 1.672328 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0428 0.0301 0.9986 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.276.obj b/data/sceneparts/tree10/leaves.276.obj deleted file mode 100644 index d90d512da..000000000 --- a/data/sceneparts/tree10/leaves.276.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.276 -v -0.205650 -0.223652 1.677727 -v -0.288006 -0.276529 1.735524 -v -0.251430 -0.223787 1.686878 -v -0.214774 -0.258768 1.707106 -v -0.242226 -0.276394 1.726372 -v -0.278882 -0.241413 1.706144 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1536 0.6103 0.7771 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.277.obj b/data/sceneparts/tree10/leaves.277.obj deleted file mode 100644 index 6ac6bb77b..000000000 --- a/data/sceneparts/tree10/leaves.277.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.277 -v -0.207592 -0.225702 1.678426 -v -0.235305 -0.244764 1.701175 -v -0.224647 -0.305908 1.733647 -v -0.191250 -0.260110 1.692491 -v -0.196935 -0.286845 1.710898 -v -0.240989 -0.271500 1.719581 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3291 0.4870 0.8090 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.278.obj b/data/sceneparts/tree10/leaves.278.obj deleted file mode 100644 index c27f7d5b4..000000000 --- a/data/sceneparts/tree10/leaves.278.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.278 -v -0.209535 -0.227752 1.679126 -v -0.239591 -0.239184 1.697766 -v -0.246033 -0.297312 1.724046 -v -0.203811 -0.262693 1.690433 -v -0.215977 -0.285880 1.705407 -v -0.251757 -0.262371 1.712739 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3984 0.3408 0.8515 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.279.obj b/data/sceneparts/tree10/leaves.279.obj deleted file mode 100644 index d1d3e9867..000000000 --- a/data/sceneparts/tree10/leaves.279.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.279 -v -0.211477 -0.229802 1.679826 -v -0.234605 -0.218132 1.692567 -v -0.279945 -0.238728 1.692954 -v -0.233994 -0.247422 1.675837 -v -0.256817 -0.250397 1.680213 -v -0.257428 -0.221108 1.696943 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2251 -0.4797 0.8480 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.280.obj b/data/sceneparts/tree10/leaves.280.obj deleted file mode 100644 index 3a0480e11..000000000 --- a/data/sceneparts/tree10/leaves.280.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.280 -v -0.213419 -0.231852 1.680526 -v -0.241908 -0.242759 1.680163 -v -0.257257 -0.285022 1.652815 -v -0.214155 -0.256391 1.662414 -v -0.228768 -0.274114 1.653177 -v -0.256521 -0.260482 1.670926 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2137 -0.5843 0.7829 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.281.obj b/data/sceneparts/tree10/leaves.281.obj deleted file mode 100644 index 44b973a63..000000000 --- a/data/sceneparts/tree10/leaves.281.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.281 -v 0.175427 0.011388 1.890213 -v 0.208055 0.023027 1.942235 -v 0.180862 0.096740 2.016066 -v 0.146423 0.056650 1.922094 -v 0.148235 0.085101 1.964045 -v 0.209866 0.051478 1.984186 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5354 -0.6881 0.4898 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.282.obj b/data/sceneparts/tree10/leaves.282.obj deleted file mode 100644 index 527763d63..000000000 --- a/data/sceneparts/tree10/leaves.282.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.282 -v 0.177687 0.013742 1.893664 -v 0.221409 0.002434 1.890590 -v 0.280124 0.053750 1.886563 -v 0.202257 0.051722 1.892003 -v 0.236403 0.065058 1.889636 -v 0.255554 0.015770 1.888223 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0697 -0.0015 0.9976 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.283.obj b/data/sceneparts/tree10/leaves.283.obj deleted file mode 100644 index a2b96fbc1..000000000 --- a/data/sceneparts/tree10/leaves.283.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.283 -v 0.179854 0.016000 1.896973 -v 0.221291 0.020056 1.891016 -v 0.264994 0.060304 1.932659 -v 0.195177 0.041480 1.926721 -v 0.223557 0.056248 1.938617 -v 0.249671 0.034824 1.902912 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1624 -0.7892 0.5923 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.284.obj b/data/sceneparts/tree10/leaves.284.obj deleted file mode 100644 index 176944d7f..000000000 --- a/data/sceneparts/tree10/leaves.284.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.284 -v 0.182021 0.018258 1.900283 -v 0.221386 0.030414 1.911917 -v 0.253707 0.093289 1.890568 -v 0.190447 0.056122 1.882172 -v 0.214343 0.081132 1.878934 -v 0.245281 0.055424 1.908678 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3801 0.4666 0.7986 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.285.obj b/data/sceneparts/tree10/leaves.285.obj deleted file mode 100644 index 78633d7a4..000000000 --- a/data/sceneparts/tree10/leaves.285.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.285 -v 0.184188 0.020516 1.903592 -v 0.209413 0.034495 1.899204 -v 0.214469 0.084557 1.898521 -v 0.179150 0.049231 1.904600 -v 0.189244 0.070579 1.902909 -v 0.219507 0.055842 1.897513 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1736 -0.0041 0.9848 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.286.obj b/data/sceneparts/tree10/leaves.286.obj deleted file mode 100644 index 677fd383b..000000000 --- a/data/sceneparts/tree10/leaves.286.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.286 -v 0.186355 0.022774 1.906902 -v 0.199766 0.010837 1.923246 -v 0.189602 0.037163 1.926185 -v 0.211342 0.026453 1.960343 -v 0.208094 0.012063 1.941059 -v 0.197931 0.038389 1.943999 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.8325 -0.3677 0.4145 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.287.obj b/data/sceneparts/tree10/leaves.287.obj deleted file mode 100644 index aa411d1f1..000000000 --- a/data/sceneparts/tree10/leaves.287.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.287 -v 0.153224 -0.171266 1.808716 -v 0.233208 -0.277342 1.840763 -v 0.153299 -0.225236 1.824150 -v 0.206471 -0.188014 1.814646 -v 0.233133 -0.223372 1.825329 -v 0.179961 -0.260595 1.834832 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0206 0.2749 0.9613 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.288.obj b/data/sceneparts/tree10/leaves.288.obj deleted file mode 100644 index bfea270ac..000000000 --- a/data/sceneparts/tree10/leaves.288.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.288 -v 0.158499 -0.174086 1.809454 -v 0.179025 -0.216604 1.794122 -v 0.254637 -0.222306 1.754333 -v 0.202065 -0.163715 1.788040 -v 0.234111 -0.179788 1.769666 -v 0.211070 -0.232678 1.775748 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4577 -0.0977 0.8837 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.289.obj b/data/sceneparts/tree10/leaves.289.obj deleted file mode 100644 index 1c0f45e29..000000000 --- a/data/sceneparts/tree10/leaves.289.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.289 -v 0.163558 -0.176791 1.810162 -v 0.197102 -0.205194 1.818983 -v 0.260124 -0.187077 1.859978 -v 0.194391 -0.155245 1.834552 -v 0.226580 -0.158674 1.851157 -v 0.229291 -0.208623 1.835588 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4632 -0.2865 0.8387 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.290.obj b/data/sceneparts/tree10/leaves.290.obj deleted file mode 100644 index d91cf8f5c..000000000 --- a/data/sceneparts/tree10/leaves.290.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.290 -v 0.168617 -0.179495 1.810870 -v 0.191491 -0.213056 1.819394 -v 0.243642 -0.215138 1.868390 -v 0.195760 -0.169697 1.840693 -v 0.220769 -0.181578 1.859866 -v 0.216499 -0.224937 1.838568 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6639 -0.2760 0.6950 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.291.obj b/data/sceneparts/tree10/leaves.291.obj deleted file mode 100644 index f307695fd..000000000 --- a/data/sceneparts/tree10/leaves.291.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.291 -v 0.173676 -0.182200 1.811578 -v 0.179952 -0.211732 1.808978 -v 0.219809 -0.235705 1.832839 -v 0.198156 -0.188337 1.828353 -v 0.213533 -0.206172 1.835440 -v 0.195329 -0.229567 1.816065 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5872 -0.1940 0.7859 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.292.obj b/data/sceneparts/tree10/leaves.292.obj deleted file mode 100644 index d39e8c673..000000000 --- a/data/sceneparts/tree10/leaves.292.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.292 -v 0.178735 -0.184904 1.812286 -v 0.205441 -0.193531 1.823603 -v 0.178146 -0.214864 1.816503 -v 0.217911 -0.242784 1.835586 -v 0.191204 -0.234157 1.824270 -v 0.218500 -0.212824 1.831370 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.3485 0.1374 0.9272 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.293.obj b/data/sceneparts/tree10/leaves.293.obj deleted file mode 100644 index 8ef45ee36..000000000 --- a/data/sceneparts/tree10/leaves.293.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.293 -v 0.148651 -0.056328 1.897639 -v 0.188824 -0.087378 1.903788 -v 0.132400 -0.099832 1.919064 -v 0.184533 -0.168157 1.938999 -v 0.144361 -0.137108 1.932850 -v 0.200785 -0.124654 1.917574 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1603 0.3872 0.9079 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.294.obj b/data/sceneparts/tree10/leaves.294.obj deleted file mode 100644 index 6d56a9964..000000000 --- a/data/sceneparts/tree10/leaves.294.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.294 -v 0.148664 -0.059047 1.900973 -v 0.148845 -0.088431 1.933847 -v 0.200538 -0.090285 1.989611 -v 0.183066 -0.050488 1.927191 -v 0.200357 -0.060901 1.956737 -v 0.166136 -0.098844 1.963392 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5704 0.6108 0.5491 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.295.obj b/data/sceneparts/tree10/leaves.295.obj deleted file mode 100644 index 8daa5b20d..000000000 --- a/data/sceneparts/tree10/leaves.295.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.295 -v 0.148676 -0.061654 1.904171 -v 0.127267 -0.086076 1.935869 -v 0.151020 -0.092756 2.010166 -v 0.171648 -0.057966 1.943136 -v 0.172429 -0.068333 1.978468 -v 0.128048 -0.096443 1.971201 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5471 0.7999 0.2468 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.296.obj b/data/sceneparts/tree10/leaves.296.obj deleted file mode 100644 index 6abb15ba2..000000000 --- a/data/sceneparts/tree10/leaves.296.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.296 -v 0.148688 -0.064260 1.907368 -v 0.098819 -0.139899 1.916279 -v 0.150337 -0.101426 1.911139 -v 0.113793 -0.077521 1.909537 -v 0.097170 -0.102733 1.912508 -v 0.133714 -0.126639 1.914110 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0231 0.1019 0.9945 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.297.obj b/data/sceneparts/tree10/leaves.297.obj deleted file mode 100644 index 98c136d42..000000000 --- a/data/sceneparts/tree10/leaves.297.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.297 -v 0.148701 -0.066867 1.910565 -v 0.128076 -0.078377 1.883633 -v 0.146738 -0.117454 1.839551 -v 0.168017 -0.089081 1.890154 -v 0.167362 -0.105943 1.866483 -v 0.127422 -0.095240 1.859962 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2986 -0.7734 0.5592 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.298.obj b/data/sceneparts/tree10/leaves.298.obj deleted file mode 100644 index 842f915cc..000000000 --- a/data/sceneparts/tree10/leaves.298.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.298 -v 0.148713 -0.069474 1.913762 -v 0.143438 -0.092054 1.915806 -v 0.163861 -0.118192 1.938435 -v 0.164086 -0.079373 1.928167 -v 0.169136 -0.095613 1.936391 -v 0.148487 -0.108293 1.924030 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5936 0.2090 0.7771 -vn -0.5936 0.2090 0.7772 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.299.obj b/data/sceneparts/tree10/leaves.299.obj deleted file mode 100644 index b315cb533..000000000 --- a/data/sceneparts/tree10/leaves.299.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.299 -v 0.093051 -0.205629 1.775389 -v 0.058008 -0.242485 1.772594 -v 0.074088 -0.327579 1.787429 -v 0.115452 -0.250073 1.786210 -v 0.109131 -0.290723 1.790223 -v 0.051688 -0.283135 1.776607 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2126 0.1287 0.9686 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.300.obj b/data/sceneparts/tree10/leaves.300.obj deleted file mode 100644 index 28f7e6535..000000000 --- a/data/sceneparts/tree10/leaves.300.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.300 -v 0.092331 -0.212956 1.772401 -v 0.013982 -0.294568 1.732919 -v 0.044660 -0.225099 1.770882 -v 0.087770 -0.255222 1.747599 -v 0.061654 -0.282425 1.734438 -v 0.018543 -0.252302 1.757722 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.1032 -0.5117 0.8530 -vn 0.1031 -0.5117 0.8530 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/2 3/5/2 6/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.301.obj b/data/sceneparts/tree10/leaves.301.obj deleted file mode 100644 index 569c23318..000000000 --- a/data/sceneparts/tree10/leaves.301.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.301 -v 0.091641 -0.219982 1.769536 -v 0.078430 -0.239261 1.739827 -v 0.107509 -0.291547 1.713897 -v 0.115431 -0.248414 1.762152 -v 0.120720 -0.272269 1.743605 -v 0.083719 -0.263116 1.721281 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5183 -0.5936 0.6157 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.302.obj b/data/sceneparts/tree10/leaves.302.obj deleted file mode 100644 index 816b92c10..000000000 --- a/data/sceneparts/tree10/leaves.302.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.302 -v 0.090951 -0.227009 1.766671 -v 0.081629 -0.265684 1.765012 -v 0.126331 -0.316884 1.774930 -v 0.123859 -0.248250 1.773836 -v 0.135652 -0.278208 1.776590 -v 0.093423 -0.295643 1.767765 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2078 0.0081 0.9781 -vn -0.2077 0.0081 0.9781 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.303.obj b/data/sceneparts/tree10/leaves.303.obj deleted file mode 100644 index b24b4594c..000000000 --- a/data/sceneparts/tree10/leaves.303.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.303 -v 0.090261 -0.234035 1.763806 -v 0.088895 -0.309914 1.764745 -v 0.105726 -0.259724 1.755278 -v 0.073885 -0.258932 1.772960 -v 0.073430 -0.284225 1.773273 -v 0.105271 -0.285017 1.755590 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.4855 0.0021 0.8742 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.304.obj b/data/sceneparts/tree10/leaves.304.obj deleted file mode 100644 index 7ef7aa39e..000000000 --- a/data/sceneparts/tree10/leaves.304.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.304 -v 0.089571 -0.241061 1.760941 -v 0.062335 -0.249957 1.757531 -v 0.089075 -0.261369 1.740451 -v 0.047974 -0.284869 1.725090 -v 0.075209 -0.275972 1.728500 -v 0.048470 -0.264560 1.745580 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1432 -0.7047 0.6949 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.305.obj b/data/sceneparts/tree10/leaves.305.obj deleted file mode 100644 index f5ed4b6a0..000000000 --- a/data/sceneparts/tree10/leaves.305.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.305 -v 0.130981 0.024659 1.996913 -v 0.163094 0.021971 2.033223 -v 0.216460 0.083115 2.053890 -v 0.155854 0.066318 1.998588 -v 0.184346 0.085803 2.017580 -v 0.191587 0.041456 2.052215 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6787 0.3800 0.6284 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.306.obj b/data/sceneparts/tree10/leaves.306.obj deleted file mode 100644 index 1c3a7d3ab..000000000 --- a/data/sceneparts/tree10/leaves.306.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.306 -v 0.132233 0.025143 1.998853 -v 0.148347 0.008876 2.043325 -v 0.143718 0.054326 2.116526 -v 0.123775 0.060866 2.032830 -v 0.127603 0.070593 2.072054 -v 0.152176 0.018603 2.082549 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.9024 -0.3893 0.1846 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.307.obj b/data/sceneparts/tree10/leaves.307.obj deleted file mode 100644 index eb4d15f43..000000000 --- a/data/sceneparts/tree10/leaves.307.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.307 -v 0.133340 0.025571 2.000569 -v 0.242956 0.049475 2.000737 -v 0.164143 0.059843 2.000157 -v 0.175614 0.007235 2.001093 -v 0.212153 0.015203 2.001149 -v 0.200682 0.067811 2.000213 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0052 0.0167 0.9998 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.308.obj b/data/sceneparts/tree10/leaves.308.obj deleted file mode 100644 index d345573d7..000000000 --- a/data/sceneparts/tree10/leaves.308.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.308 -v 0.134560 0.026042 2.002459 -v 0.150085 0.041655 2.025395 -v 0.200789 0.029458 2.042383 -v 0.163187 0.012706 2.006138 -v 0.185263 0.013845 2.019447 -v 0.172161 0.042794 2.038704 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.3790 -0.6253 0.6822 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 3/2/1 6/3/1 2/4/1 -f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree10/leaves.309.obj b/data/sceneparts/tree10/leaves.309.obj deleted file mode 100644 index b7fd83988..000000000 --- a/data/sceneparts/tree10/leaves.309.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.309 -v 0.135715 0.026489 2.004249 -v 0.162579 0.023594 2.014932 -v 0.191907 0.061853 2.028651 -v 0.146313 0.052959 2.009834 -v 0.165043 0.064747 2.017968 -v 0.181310 0.035382 2.023066 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3734 -0.0460 0.9265 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.310.obj b/data/sceneparts/tree10/leaves.310.obj deleted file mode 100644 index da32c5bbc..000000000 --- a/data/sceneparts/tree10/leaves.310.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.310 -v 0.186474 0.109520 1.890653 -v 0.233991 0.116184 1.905161 -v 0.275843 0.191802 1.902357 -v 0.198536 0.157711 1.883948 -v 0.228325 0.185138 1.887849 -v 0.263781 0.143611 1.909062 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3121 0.2071 0.9272 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.311.obj b/data/sceneparts/tree10/leaves.311.obj deleted file mode 100644 index 96ade920e..000000000 --- a/data/sceneparts/tree10/leaves.311.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.311 -v 0.195009 0.110265 1.894394 -v 0.218656 0.087950 1.930384 -v 0.274894 0.124887 1.980114 -v 0.224619 0.142328 1.915551 -v 0.251247 0.147202 1.944124 -v 0.245284 0.092824 1.958957 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.7289 0.2534 0.6360 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.312.obj b/data/sceneparts/tree10/leaves.312.obj deleted file mode 100644 index a8213ed8b..000000000 --- a/data/sceneparts/tree10/leaves.312.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.312 -v 0.203102 0.109714 1.898616 -v 0.266997 0.050022 1.903192 -v 0.238748 0.105170 1.900082 -v 0.210052 0.074463 1.900202 -v 0.231351 0.054565 1.901727 -v 0.260047 0.085273 1.901607 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0362 0.0378 0.9986 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.313.obj b/data/sceneparts/tree10/leaves.313.obj deleted file mode 100644 index d5a9de08f..000000000 --- a/data/sceneparts/tree10/leaves.313.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.313 -v 0.210027 0.106983 1.903443 -v 0.221893 0.084048 1.899488 -v 0.266573 0.078187 1.899155 -v 0.235858 0.110721 1.904539 -v 0.254707 0.101122 1.903110 -v 0.240742 0.074449 1.898059 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0160 -0.1779 0.9839 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.314.obj b/data/sceneparts/tree10/leaves.314.obj deleted file mode 100644 index ce0dd137e..000000000 --- a/data/sceneparts/tree10/leaves.314.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.314 -v 0.203017 0.111334 1.897705 -v 0.253064 0.175471 1.893480 -v 0.207992 0.142646 1.908400 -v 0.231407 0.122780 1.884193 -v 0.248089 0.144159 1.882785 -v 0.224674 0.164025 1.906992 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.5138 -0.3493 0.7836 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.315.obj b/data/sceneparts/tree10/leaves.315.obj deleted file mode 100644 index 026555c3b..000000000 --- a/data/sceneparts/tree10/leaves.315.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.315 -v 0.209989 0.114166 1.899567 -v 0.235275 0.119650 1.914338 -v 0.253689 0.166650 1.924006 -v 0.213836 0.143671 1.901088 -v 0.228403 0.161166 1.909234 -v 0.249842 0.137144 1.922484 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5078 0.0218 0.8612 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.316.obj b/data/sceneparts/tree10/leaves.316.obj deleted file mode 100644 index 6595cee95..000000000 --- a/data/sceneparts/tree10/leaves.316.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.316 -v 0.095213 -0.133680 1.922813 -v 0.133049 -0.160812 1.937905 -v 0.127536 -0.241865 1.960891 -v 0.078926 -0.178671 1.933106 -v 0.089700 -0.214733 1.945799 -v 0.143824 -0.196874 1.950597 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.1759 0.2796 0.9438 -vn -0.1760 0.2796 0.9438 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 3/2/1 6/3/1 2/4/1 -f 1/1/2 4/5/2 5/6/2 3/2/2 diff --git a/data/sceneparts/tree10/leaves.317.obj b/data/sceneparts/tree10/leaves.317.obj deleted file mode 100644 index dfd2e34d1..000000000 --- a/data/sceneparts/tree10/leaves.317.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.317 -v 0.097177 -0.136579 1.923018 -v 0.091387 -0.171228 1.948968 -v 0.128726 -0.236306 1.942128 -v 0.124000 -0.168415 1.909809 -v 0.134516 -0.201657 1.916179 -v 0.101903 -0.204470 1.955337 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.7097 0.3425 0.6157 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.318.obj b/data/sceneparts/tree10/leaves.318.obj deleted file mode 100644 index 24c5598e1..000000000 --- a/data/sceneparts/tree10/leaves.318.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.318 -v 0.098914 -0.139144 1.923200 -v 0.144841 -0.139290 1.926072 -v 0.116028 -0.152711 1.882696 -v 0.193475 -0.159712 1.866752 -v 0.176361 -0.146146 1.907256 -v 0.147548 -0.159567 1.863880 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0223 -0.9508 0.3090 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.319.obj b/data/sceneparts/tree10/leaves.319.obj deleted file mode 100644 index b804d46f8..000000000 --- a/data/sceneparts/tree10/leaves.319.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.319 -v 0.100828 -0.141969 1.923400 -v 0.147763 -0.202758 1.972626 -v 0.134311 -0.149620 1.938374 -v 0.098634 -0.174844 1.941243 -v 0.114280 -0.195106 1.957652 -v 0.149956 -0.169883 1.954783 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2672 0.4734 0.8393 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.320.obj b/data/sceneparts/tree10/leaves.320.obj deleted file mode 100644 index d7f66fecc..000000000 --- a/data/sceneparts/tree10/leaves.320.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.320 -v 0.102640 -0.144646 1.923589 -v 0.109476 -0.201893 1.927527 -v 0.117159 -0.162710 1.918460 -v 0.092679 -0.164746 1.931344 -v 0.094957 -0.183829 1.932657 -v 0.119437 -0.181792 1.919773 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.4551 0.1151 0.8829 -vn 0.4552 0.1151 0.8829 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 4/5/2 5/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.321.obj b/data/sceneparts/tree10/leaves.321.obj deleted file mode 100644 index 569e533bc..000000000 --- a/data/sceneparts/tree10/leaves.321.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.321 -v 0.148945 0.165051 1.867508 -v 0.187587 0.178766 1.840363 -v 0.192216 0.251348 1.796702 -v 0.139151 0.208867 1.847449 -v 0.153574 0.237633 1.823847 -v 0.202011 0.207532 1.816761 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3987 0.4539 0.7969 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.322.obj b/data/sceneparts/tree10/leaves.322.obj deleted file mode 100644 index b38a9ba29..000000000 --- a/data/sceneparts/tree10/leaves.322.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.322 -v 0.149753 0.168262 1.867545 -v 0.178658 0.215570 1.870796 -v 0.164298 0.283415 1.936892 -v 0.130545 0.197722 1.910525 -v 0.135393 0.236106 1.933641 -v 0.183507 0.253955 1.893911 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.6624 -0.4461 0.6018 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.323.obj b/data/sceneparts/tree10/leaves.323.obj deleted file mode 100644 index 25ea98d39..000000000 --- a/data/sceneparts/tree10/leaves.323.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.323 -v 0.150528 0.171341 1.867581 -v 0.136747 0.276797 1.856913 -v 0.121321 0.202657 1.857899 -v 0.170548 0.210329 1.870151 -v 0.165954 0.245481 1.866595 -v 0.116727 0.237809 1.854343 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2505 0.0650 0.9659 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.324.obj b/data/sceneparts/tree10/leaves.324.obj deleted file mode 100644 index 2d4088168..000000000 --- a/data/sceneparts/tree10/leaves.324.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.324 -v 0.151303 0.174419 1.867616 -v 0.206353 0.252370 1.896540 -v 0.149700 0.212885 1.881594 -v 0.189607 0.187921 1.872920 -v 0.207957 0.213905 1.882561 -v 0.168050 0.238869 1.891236 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0096 -0.3419 0.9397 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.325.obj b/data/sceneparts/tree10/leaves.325.obj deleted file mode 100644 index 1a4dc2003..000000000 --- a/data/sceneparts/tree10/leaves.325.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.325 -v 0.152078 0.177498 1.867652 -v 0.184263 0.188653 1.869129 -v 0.203488 0.238204 1.843944 -v 0.154167 0.206814 1.850369 -v 0.171304 0.227049 1.842466 -v 0.201399 0.208889 1.861227 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2142 0.5074 0.8347 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.326.obj b/data/sceneparts/tree10/leaves.326.obj deleted file mode 100644 index e42dddb7a..000000000 --- a/data/sceneparts/tree10/leaves.326.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.326 -v 0.152853 0.180577 1.867687 -v 0.164598 0.206584 1.862743 -v 0.132720 0.197628 1.855743 -v 0.140270 0.245165 1.842355 -v 0.128525 0.219157 1.847299 -v 0.160404 0.228114 1.854298 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2845 0.3015 0.9100 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.327.obj b/data/sceneparts/tree10/leaves.327.obj deleted file mode 100644 index b747b0c9d..000000000 --- a/data/sceneparts/tree10/leaves.327.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.327 -v -0.168188 -0.122287 2.096889 -v -0.201833 -0.259201 2.114854 -v -0.147059 -0.176706 2.096530 -v -0.211747 -0.159144 2.109225 -v -0.222962 -0.204782 2.115213 -v -0.158274 -0.222344 2.102519 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.2118 0.0758 0.9744 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.328.obj b/data/sceneparts/tree10/leaves.328.obj deleted file mode 100644 index a7f57d94b..000000000 --- a/data/sceneparts/tree10/leaves.328.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.328 -v -0.169236 -0.124526 2.099012 -v -0.241876 -0.170315 2.166076 -v -0.177228 -0.159941 2.125178 -v -0.209671 -0.119637 2.117555 -v -0.233884 -0.134900 2.139910 -v -0.201441 -0.175204 2.147532 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.4131 0.4790 0.7745 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.329.obj b/data/sceneparts/tree10/leaves.329.obj deleted file mode 100644 index d621957a0..000000000 --- a/data/sceneparts/tree10/leaves.329.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.329 -v -0.170241 -0.126673 2.101047 -v -0.206048 -0.143635 2.100473 -v -0.220566 -0.202230 2.068401 -v -0.167983 -0.160081 2.079857 -v -0.184758 -0.185267 2.068975 -v -0.222823 -0.168821 2.089591 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2285 -0.5104 0.8290 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.330.obj b/data/sceneparts/tree10/leaves.330.obj deleted file mode 100644 index bfedc0ca6..000000000 --- a/data/sceneparts/tree10/leaves.330.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.330 -v -0.171245 -0.128820 2.103083 -v -0.178403 -0.229989 2.103083 -v -0.149350 -0.164261 2.103083 -v -0.197912 -0.160825 2.103083 -v -0.200298 -0.194548 2.103083 -v -0.151736 -0.197984 2.103083 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0000 0.0000 1.0000 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.331.obj b/data/sceneparts/tree10/leaves.331.obj deleted file mode 100644 index a55e8645e..000000000 --- a/data/sceneparts/tree10/leaves.331.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.331 -v -0.172250 -0.130967 2.105119 -v -0.200710 -0.130339 2.102362 -v -0.229218 -0.170371 2.098026 -v -0.181769 -0.157864 2.103146 -v -0.200758 -0.170999 2.100782 -v -0.219699 -0.143473 2.099998 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0972 -0.0385 0.9945 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.332.obj b/data/sceneparts/tree10/leaves.332.obj deleted file mode 100644 index efadde73c..000000000 --- a/data/sceneparts/tree10/leaves.332.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.332 -v -0.173255 -0.133114 2.107154 -v -0.174860 -0.159870 2.108680 -v -0.198769 -0.140364 2.103000 -v -0.213934 -0.184124 2.103211 -v -0.212328 -0.157368 2.101685 -v -0.188420 -0.176873 2.107365 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.1788 0.0667 0.9816 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.333.obj b/data/sceneparts/tree10/leaves.333.obj deleted file mode 100644 index e2cdf8cef..000000000 --- a/data/sceneparts/tree10/leaves.333.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.333 -v -0.143668 0.057608 2.124431 -v -0.169660 0.114566 2.119710 -v -0.204626 0.052928 2.138724 -v -0.274093 0.136024 2.138789 -v -0.248101 0.079066 2.143510 -v -0.213135 0.140705 2.124496 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2118 0.1763 0.9613 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.334.obj b/data/sceneparts/tree10/leaves.334.obj deleted file mode 100644 index b26a11d7f..000000000 --- a/data/sceneparts/tree10/leaves.334.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.334 -v -0.145085 0.058707 2.126163 -v -0.216713 0.070646 2.237746 -v -0.190347 0.041923 2.151851 -v -0.147575 0.083450 2.174864 -v -0.171451 0.087430 2.212059 -v -0.214223 0.045902 2.189045 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.5124 -0.7547 0.4097 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.335.obj b/data/sceneparts/tree10/leaves.335.obj deleted file mode 100644 index bf735de37..000000000 --- a/data/sceneparts/tree10/leaves.335.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.335 -v -0.146338 0.059678 2.127697 -v -0.214679 0.128553 2.091095 -v -0.184694 0.064107 2.109711 -v -0.153542 0.101166 2.121281 -v -0.176322 0.124124 2.109080 -v -0.207475 0.087065 2.097510 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.4172 0.0677 0.9063 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.336.obj b/data/sceneparts/tree10/leaves.336.obj deleted file mode 100644 index 96238a79c..000000000 --- a/data/sceneparts/tree10/leaves.336.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.336 -v -0.147718 0.060748 2.129385 -v -0.175337 0.071000 2.117063 -v -0.187611 0.123903 2.107836 -v -0.146694 0.092600 2.127340 -v -0.159992 0.113651 2.120157 -v -0.188635 0.092051 2.109880 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.3841 0.0714 0.9205 -vn -0.3842 0.0714 0.9205 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 3/2/1 6/3/1 2/4/1 -f 1/1/2 4/5/2 5/6/2 3/2/2 diff --git a/data/sceneparts/tree10/leaves.337.obj b/data/sceneparts/tree10/leaves.337.obj deleted file mode 100644 index dbcdd0b50..000000000 --- a/data/sceneparts/tree10/leaves.337.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.337 -v -0.149026 0.061762 2.130984 -v -0.162960 0.085306 2.125709 -v -0.210869 0.088734 2.123968 -v -0.176320 0.056200 2.131582 -v -0.196935 0.065191 2.129243 -v -0.183574 0.094296 2.123371 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0207 0.2069 0.9781 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.338.obj b/data/sceneparts/tree10/leaves.338.obj deleted file mode 100644 index 6a1190ddf..000000000 --- a/data/sceneparts/tree10/leaves.338.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.338 -v -0.244539 -0.069934 2.041259 -v -0.288158 -0.089957 2.027242 -v -0.310804 -0.172048 2.040946 -v -0.245097 -0.117987 2.055068 -v -0.267185 -0.152025 2.054964 -v -0.310246 -0.123996 2.027137 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4007 0.2573 0.8793 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.339.obj b/data/sceneparts/tree10/leaves.339.obj deleted file mode 100644 index cfda7917d..000000000 --- a/data/sceneparts/tree10/leaves.339.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.339 -v -0.248403 -0.071398 2.041789 -v -0.331142 -0.160279 2.074116 -v -0.254566 -0.122048 2.049580 -v -0.297400 -0.080002 2.055550 -v -0.324980 -0.109629 2.066325 -v -0.282146 -0.151675 2.060356 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.2493 0.1175 0.9613 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.340.obj b/data/sceneparts/tree10/leaves.340.obj deleted file mode 100644 index fb7242c5e..000000000 --- a/data/sceneparts/tree10/leaves.340.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.340 -v -0.251821 -0.072693 2.042258 -v -0.283044 -0.099724 2.064255 -v -0.354827 -0.074170 2.090889 -v -0.289269 -0.046646 2.052682 -v -0.323604 -0.047139 2.068892 -v -0.317379 -0.100216 2.080466 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.4116 0.2400 0.8792 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 3/2/1 6/3/1 2/4/1 -f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree10/leaves.341.obj b/data/sceneparts/tree10/leaves.341.obj deleted file mode 100644 index ef66adbc2..000000000 --- a/data/sceneparts/tree10/leaves.341.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.341 -v -0.255586 -0.074119 2.042775 -v -0.338613 -0.061642 2.021270 -v -0.284430 -0.089560 2.028742 -v -0.282095 -0.050359 2.042471 -v -0.309770 -0.046200 2.035302 -v -0.312105 -0.085402 2.021574 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2813 -0.3022 0.9108 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.342.obj b/data/sceneparts/tree10/leaves.342.obj deleted file mode 100644 index 332cb0e43..000000000 --- a/data/sceneparts/tree10/leaves.342.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.342 -v -0.259153 -0.075470 2.043264 -v -0.283125 -0.083464 2.046439 -v -0.301588 -0.116269 2.023785 -v -0.263471 -0.094675 2.027103 -v -0.277616 -0.108274 2.020611 -v -0.297270 -0.097064 2.039946 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3091 -0.6520 0.6923 -vn 0.3091 -0.6521 0.6923 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.343.obj b/data/sceneparts/tree10/leaves.343.obj deleted file mode 100644 index 01646d639..000000000 --- a/data/sceneparts/tree10/leaves.343.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.343 -v -0.092086 0.092335 2.101968 -v -0.050222 0.114186 2.114289 -v -0.043491 0.195099 2.136549 -v -0.101553 0.138993 2.112701 -v -0.085354 0.173248 2.124228 -v -0.034024 0.148441 2.125816 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1507 -0.2506 0.9563 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.344.obj b/data/sceneparts/tree10/leaves.344.obj deleted file mode 100644 index 5c3bba37e..000000000 --- a/data/sceneparts/tree10/leaves.344.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.344 -v -0.089276 0.098950 2.103137 -v -0.047782 0.097701 2.098394 -v -0.071847 0.122991 2.132532 -v -0.000893 0.133137 2.140115 -v -0.018321 0.109097 2.110720 -v -0.042386 0.134387 2.144858 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.0467 -0.7866 0.6157 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree10/leaves.345.obj b/data/sceneparts/tree10/leaves.345.obj deleted file mode 100644 index fd4d1b135..000000000 --- a/data/sceneparts/tree10/leaves.345.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.345 -v -0.085097 0.104778 2.103815 -v -0.027819 0.160216 2.077218 -v -0.080759 0.135793 2.089301 -v -0.051249 0.110723 2.100597 -v -0.032156 0.129202 2.091731 -v -0.061666 0.154272 2.080435 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0120 0.4224 0.9063 -vn 0.0120 0.4225 0.9063 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 4/5/2 5/6/2 2/2/2 diff --git a/data/sceneparts/tree10/leaves.346.obj b/data/sceneparts/tree10/leaves.346.obj deleted file mode 100644 index 371a1a4af..000000000 --- a/data/sceneparts/tree10/leaves.346.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.346 -v -0.081189 0.108234 2.103922 -v -0.056762 0.124516 2.103464 -v -0.051351 0.168735 2.127559 -v -0.085724 0.132286 2.120137 -v -0.075778 0.152453 2.128016 -v -0.046816 0.144683 2.111343 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3364 -0.4820 0.8090 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.347.obj b/data/sceneparts/tree10/leaves.347.obj deleted file mode 100644 index 812770513..000000000 --- a/data/sceneparts/tree10/leaves.347.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.347 -v -0.087298 0.105408 2.104436 -v -0.063071 0.129611 2.111261 -v -0.063714 0.165844 2.159377 -v -0.095802 0.121495 2.134239 -v -0.087941 0.141641 2.152552 -v -0.055210 0.149757 2.129574 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.5289 -0.6746 0.5150 -vn 0.5288 -0.6746 0.5150 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.348.obj b/data/sceneparts/tree10/leaves.348.obj deleted file mode 100644 index b762a4c04..000000000 --- a/data/sceneparts/tree10/leaves.348.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.348 -v -0.086802 0.112448 2.106195 -v -0.061171 0.120636 2.110511 -v -0.048368 0.165306 2.117634 -v -0.086811 0.139498 2.109505 -v -0.074000 0.157117 2.113318 -v -0.048359 0.138255 2.114324 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1273 -0.1205 0.9845 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.349.obj b/data/sceneparts/tree10/leaves.349.obj deleted file mode 100644 index ee5db43b2..000000000 --- a/data/sceneparts/tree10/leaves.349.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.349 -v 0.131803 -0.155936 2.165489 -v 0.128864 -0.200565 2.183619 -v 0.193843 -0.251576 2.193935 -v 0.176101 -0.175067 2.166323 -v 0.196782 -0.206947 2.175805 -v 0.149544 -0.232445 2.193102 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.1402 0.3647 0.9205 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.350.obj b/data/sceneparts/tree10/leaves.350.obj deleted file mode 100644 index 13743fd53..000000000 --- a/data/sceneparts/tree10/leaves.350.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.350 -v 0.134743 -0.161795 2.169034 -v 0.182263 -0.163599 2.167120 -v 0.148361 -0.207076 2.174441 -v 0.226449 -0.232423 2.174271 -v 0.178929 -0.230619 2.176186 -v 0.212832 -0.187141 2.168865 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0449 0.1317 0.9903 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.351.obj b/data/sceneparts/tree10/leaves.351.obj deleted file mode 100644 index cdef3a082..000000000 --- a/data/sceneparts/tree10/leaves.351.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.351 -v 0.137345 -0.166978 2.172171 -v 0.136906 -0.174255 2.136506 -v 0.186652 -0.168938 2.098554 -v 0.170655 -0.161007 2.158758 -v 0.187091 -0.161661 2.134219 -v 0.153342 -0.174909 2.111967 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.2471 -0.9500 0.1908 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.352.obj b/data/sceneparts/tree10/leaves.352.obj deleted file mode 100644 index 80784e42c..000000000 --- a/data/sceneparts/tree10/leaves.352.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.352 -v 0.140210 -0.172686 2.175625 -v 0.120120 -0.193078 2.186614 -v 0.131154 -0.228748 2.224081 -v 0.154263 -0.189669 2.196939 -v 0.151245 -0.208356 2.213091 -v 0.117101 -0.211765 2.202766 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.2781 0.6534 0.7040 -vn -0.2782 0.6534 0.7040 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.353.obj b/data/sceneparts/tree10/leaves.353.obj deleted file mode 100644 index d2dafb604..000000000 --- a/data/sceneparts/tree10/leaves.353.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.353 -v 0.142924 -0.178094 2.178897 -v 0.155858 -0.207449 2.241259 -v 0.163720 -0.185286 2.197486 -v 0.130752 -0.190471 2.201883 -v 0.135063 -0.200256 2.222670 -v 0.168031 -0.195071 2.218273 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0823 0.8950 0.4384 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.354.obj b/data/sceneparts/tree10/leaves.354.obj deleted file mode 100644 index e3a650fce..000000000 --- a/data/sceneparts/tree10/leaves.354.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.354 -v 0.158990 0.071822 2.291795 -v 0.199712 0.066311 2.316611 -v 0.259667 0.123227 2.321479 -v 0.185386 0.111602 2.286768 -v 0.218945 0.128737 2.296663 -v 0.233271 0.083446 2.326505 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4390 0.3934 0.8078 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.355.obj b/data/sceneparts/tree10/leaves.355.obj deleted file mode 100644 index 2de572e5a..000000000 --- a/data/sceneparts/tree10/leaves.355.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.355 -v 0.161404 0.073038 2.294492 -v 0.197492 0.081846 2.336972 -v 0.188667 0.152946 2.402874 -v 0.143491 0.117502 2.324267 -v 0.152579 0.144138 2.360394 -v 0.206580 0.108482 2.373099 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5386 -0.6078 0.5836 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.356.obj b/data/sceneparts/tree10/leaves.356.obj deleted file mode 100644 index 50ec4a821..000000000 --- a/data/sceneparts/tree10/leaves.356.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.356 -v 0.163718 0.074205 2.297079 -v 0.188641 0.055377 2.321100 -v 0.199352 0.072045 2.386121 -v 0.162552 0.091593 2.332419 -v 0.174430 0.090873 2.362100 -v 0.200519 0.054657 2.350780 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.7355 -0.6172 0.2794 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.357.obj b/data/sceneparts/tree10/leaves.357.obj deleted file mode 100644 index 9562cb982..000000000 --- a/data/sceneparts/tree10/leaves.357.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.357 -v 0.166033 0.075372 2.299666 -v 0.198777 0.051383 2.290402 -v 0.266087 0.064507 2.311747 -v 0.199991 0.092117 2.316984 -v 0.233342 0.088495 2.321011 -v 0.232129 0.047762 2.294429 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.1583 -0.5363 0.8290 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.358.obj b/data/sceneparts/tree10/leaves.358.obj deleted file mode 100644 index 8421889c6..000000000 --- a/data/sceneparts/tree10/leaves.358.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.358 -v 0.168347 0.076538 2.302253 -v 0.185474 0.105947 2.295452 -v 0.237204 0.121721 2.321127 -v 0.197125 0.077252 2.321638 -v 0.220077 0.092313 2.327929 -v 0.208426 0.121008 2.301743 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.5033 0.4620 0.7302 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 3/2/1 6/3/1 2/4/1 -f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree10/leaves.359.obj b/data/sceneparts/tree10/leaves.359.obj deleted file mode 100644 index d094ab93d..000000000 --- a/data/sceneparts/tree10/leaves.359.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.359 -v 0.170661 0.077705 2.304840 -v 0.191544 0.077141 2.288734 -v 0.192788 0.096387 2.247519 -v 0.164530 0.090723 2.282732 -v 0.171905 0.096950 2.263626 -v 0.198920 0.083369 2.269627 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.3366 0.8493 0.4067 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.360.obj b/data/sceneparts/tree10/leaves.360.obj deleted file mode 100644 index 61531c47c..000000000 --- a/data/sceneparts/tree10/leaves.360.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.360 -v -0.025497 0.018030 2.323589 -v 0.014066 -0.002205 2.348570 -v 0.020521 -0.006771 2.436152 -v -0.034381 0.021730 2.373649 -v -0.019041 0.013463 2.411170 -v 0.029405 -0.010472 2.386091 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.4485 -0.8937 -0.0135 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.361.obj b/data/sceneparts/tree10/leaves.361.obj deleted file mode 100644 index a21e91d56..000000000 --- a/data/sceneparts/tree10/leaves.361.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.361 -v -0.025143 0.019217 2.327873 -v 0.017833 0.104651 2.375144 -v -0.032989 0.060247 2.341101 -v 0.011354 0.035143 2.346159 -v 0.025679 0.063621 2.361916 -v -0.018664 0.088725 2.356858 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.2963 -0.3439 0.8910 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.362.obj b/data/sceneparts/tree10/leaves.362.obj deleted file mode 100644 index 744f13f9c..000000000 --- a/data/sceneparts/tree10/leaves.362.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.362 -v -0.024789 0.020404 2.332157 -v -0.013594 0.035310 2.353537 -v -0.036918 0.070951 2.377624 -v -0.044070 0.039196 2.341088 -v -0.048113 0.056045 2.356244 -v -0.017637 0.052159 2.368693 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.3520 -0.6712 0.6523 -vn -0.3521 -0.6712 0.6523 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.363.obj b/data/sceneparts/tree10/leaves.363.obj deleted file mode 100644 index b8057f552..000000000 --- a/data/sceneparts/tree10/leaves.363.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.363 -v -0.003623 0.014550 2.407591 -v 0.013710 -0.017807 2.438660 -v 0.069434 -0.000951 2.497760 -v 0.027748 0.036573 2.436635 -v 0.052101 0.031406 2.466691 -v 0.038062 -0.022974 2.468716 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.7404 0.2149 0.6369 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.364.obj b/data/sceneparts/tree10/leaves.364.obj deleted file mode 100644 index 0e5a6c38e..000000000 --- a/data/sceneparts/tree10/leaves.364.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.364 -v -0.002025 0.012751 2.409353 -v -0.003766 -0.030630 2.432619 -v 0.016712 -0.042236 2.514263 -v 0.012207 0.019473 2.456027 -v 0.018452 0.001144 2.490997 -v 0.002480 -0.048958 2.467589 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.9479 0.1792 0.2632 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.365.obj b/data/sceneparts/tree10/leaves.365.obj deleted file mode 100644 index c5de3b11d..000000000 --- a/data/sceneparts/tree10/leaves.365.obj +++ /dev/null @@ -1,22 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.365 -v -0.000611 0.011159 2.410911 -v -0.001868 -0.014141 2.443936 -v 0.048784 -0.062397 2.460079 -v 0.033576 -0.012579 2.410665 -v 0.050041 -0.037097 2.427055 -v 0.014597 -0.038659 2.460326 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.4810 0.6871 0.5446 -vn 0.4810 0.6870 0.5446 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree10/leaves.366.obj b/data/sceneparts/tree10/leaves.366.obj deleted file mode 100644 index 2ed014726..000000000 --- a/data/sceneparts/tree10/leaves.366.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.366 -v 0.000946 0.009405 2.412628 -v 0.027857 -0.004665 2.413558 -v -0.003685 -0.019797 2.419617 -v 0.034366 -0.055504 2.424506 -v 0.007455 -0.041433 2.423576 -v 0.038997 -0.026302 2.417517 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn 0.0813 0.2198 0.9722 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 6/3/1 2/4/1 -f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.367.obj b/data/sceneparts/tree10/leaves.367.obj deleted file mode 100644 index 152f922e2..000000000 --- a/data/sceneparts/tree10/leaves.367.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.367 -v 0.002421 0.007744 2.414254 -v 0.024367 0.017960 2.425570 -v 0.020865 -0.011522 2.415892 -v 0.063005 -0.005833 2.433685 -v 0.044562 0.013434 2.432047 -v 0.041059 -0.016048 2.422369 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.3467 -0.2551 0.9026 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 4/2/1 5/3/1 2/4/1 -f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree10/leaves.368.obj b/data/sceneparts/tree10/leaves.368.obj deleted file mode 100644 index 3b8c3c4f2..000000000 --- a/data/sceneparts/tree10/leaves.368.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.368 -v -0.035523 0.059323 2.425644 -v -0.037972 0.083378 2.477805 -v -0.096683 0.052037 2.551336 -v -0.073847 0.030411 2.457278 -v -0.094234 0.027982 2.499175 -v -0.058358 0.080950 2.519702 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn 0.7238 -0.6130 0.3167 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.369.obj b/data/sceneparts/tree10/leaves.369.obj deleted file mode 100644 index 6c488567c..000000000 --- a/data/sceneparts/tree10/leaves.369.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.369 -v -0.036091 0.060714 2.429531 -v -0.081755 0.183727 2.440574 -v -0.021824 0.112290 2.437386 -v -0.080801 0.091147 2.429039 -v -0.096022 0.132151 2.432720 -v -0.037045 0.153294 2.441067 -vt 0.500000 0.000000 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vn -0.0953 -0.1240 0.9877 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 5/3/1 4/4/1 -f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree10/leaves.370.obj b/data/sceneparts/tree10/leaves.370.obj deleted file mode 100644 index 2de5ad62c..000000000 --- a/data/sceneparts/tree10/leaves.370.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.370 -v -0.036594 0.061944 2.432970 -v -0.017425 0.092509 2.432081 -v -0.042118 0.149423 2.426922 -v -0.059445 0.089699 2.429827 -v -0.061286 0.118859 2.427811 -v -0.019267 0.121668 2.430065 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0578 0.0652 0.9962 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.371.obj b/data/sceneparts/tree10/leaves.371.obj deleted file mode 100644 index eb10f26d6..000000000 --- a/data/sceneparts/tree10/leaves.371.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.371 -v -0.037147 0.063300 2.436758 -v -0.028697 0.089974 2.447803 -v -0.054660 0.134313 2.440533 -v -0.057273 0.083967 2.428229 -v -0.063110 0.107639 2.429488 -v -0.034534 0.113645 2.449062 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.5311 -0.1750 0.8290 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.372.obj b/data/sceneparts/tree10/leaves.372.obj deleted file mode 100644 index 61e8730b6..000000000 --- a/data/sceneparts/tree10/leaves.372.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves.372 -v -0.037672 0.064584 2.440346 -v -0.037230 0.088296 2.443096 -v -0.070727 0.112222 2.444427 -v -0.060150 0.072631 2.440317 -v -0.071168 0.088510 2.441677 -v -0.048248 0.104175 2.444457 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.0422 -0.1143 0.9925 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 6/3/1 3/4/1 -f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree10/leaves.obj b/data/sceneparts/tree10/leaves.obj deleted file mode 100644 index fb84a1c85..000000000 --- a/data/sceneparts/tree10/leaves.obj +++ /dev/null @@ -1,21 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o leaves -v 0.228911 0.158182 0.759804 -v 0.276201 0.141085 0.796402 -v 0.300487 0.151374 0.839434 -v 0.301769 0.189049 0.888901 -v 0.254479 0.206147 0.852303 -v 0.230193 0.195858 0.809271 -vt 0.500000 0.000000 -vt 0.260000 0.333333 -vt 0.260000 0.666667 -vt 0.500000 1.000000 -vt 0.740000 0.666667 -vt 0.740000 0.333333 -vn -0.6064 -0.6249 0.4917 -s off -mtllib leafwood.mtl -usemtl Leaves -f 1/1/1 2/2/1 3/3/1 4/4/1 -f 1/1/1 4/4/1 5/5/1 6/6/1 diff --git a/data/sceneparts/tree10/tree.obj b/data/sceneparts/tree10/tree.obj deleted file mode 100644 index 31fed3d19..000000000 --- a/data/sceneparts/tree10/tree.obj +++ /dev/null @@ -1,41166 +0,0 @@ -# Blender v3.4.0 OBJ File: 'apple_tree10_sapling_05_8_2_2.blend' -# www.blender.org -o tree -v -0.031030 -0.031030 0.000000 -v -0.000000 -0.043883 0.000000 -v 0.031030 -0.031030 0.000000 -v 0.043883 -0.000000 0.000000 -v 0.031030 0.031030 0.000000 -v 0.000000 0.043883 0.000000 -v -0.031030 0.031030 0.000000 -v -0.043883 0.000000 0.000000 -v -0.026905 -0.026994 0.088588 -v 0.000059 -0.038163 0.088566 -v 0.027022 -0.026994 0.088552 -v 0.038191 -0.000030 0.088554 -v 0.027022 0.026934 0.088571 -v 0.000059 0.038102 0.088593 -v -0.026905 0.026934 0.088607 -v -0.038074 -0.000030 0.088605 -v -0.022781 -0.022958 0.177156 -v 0.000117 -0.032443 0.177163 -v 0.023015 -0.022958 0.177168 -v 0.032499 -0.000061 0.177167 -v 0.023015 0.022837 0.177162 -v 0.000117 0.032322 0.177155 -v -0.022781 0.022837 0.177150 -v -0.032265 -0.000060 0.177151 -v -0.018831 -0.018832 0.276226 -v -0.000000 -0.026632 0.276290 -v 0.018831 -0.018831 0.276331 -v 0.026632 0.000000 0.276324 -v 0.018831 0.018832 0.276275 -v 0.000000 0.026632 0.276210 -v -0.018831 0.018831 0.276169 -v -0.026632 -0.000000 0.276176 -v -0.018634 -0.017987 0.371790 -v -0.000421 -0.025531 0.371911 -v 0.017792 -0.017987 0.371987 -v 0.025336 0.000226 0.371975 -v 0.017792 0.018439 0.371882 -v -0.000421 0.025983 0.371762 -v -0.018634 0.018439 0.371685 -v -0.026178 0.000226 0.371697 -v -0.018561 -0.017078 0.456865 -v -0.000967 -0.024366 0.456976 -v 0.016628 -0.017078 0.457048 -v 0.023916 0.000517 0.457039 -v 0.016628 0.018111 0.456955 -v -0.000966 0.025399 0.456844 -v -0.018561 0.018111 0.456771 -v -0.025849 0.000516 0.456780 -v -0.018326 -0.016279 0.552464 -v -0.001350 -0.023311 0.552489 -v 0.015627 -0.016279 0.552519 -v 0.022659 0.000697 0.552535 -v 0.015627 0.017674 0.552528 -v -0.001350 0.024706 0.552503 -v -0.018326 0.017674 0.552473 -v -0.025358 0.000697 0.552457 -v -0.017636 -0.015894 0.648058 -v -0.001278 -0.022670 0.648003 -v 0.015080 -0.015894 0.647993 -v 0.021855 0.000464 0.648034 -v 0.015080 0.016822 0.648101 -v -0.001278 0.023598 0.648156 -v -0.017636 0.016822 0.648166 -v -0.024412 0.000464 0.648125 -v -0.016744 -0.015632 0.733159 -v -0.001004 -0.022152 0.733133 -v 0.014735 -0.015632 0.733118 -v 0.021255 0.000108 0.733122 -v 0.014735 0.015847 0.733144 -v -0.001005 0.022367 0.733170 -v -0.016744 0.015847 0.733186 -v -0.023264 0.000108 0.733181 -v -0.016181 -0.014772 0.828792 -v -0.001060 -0.021035 0.828908 -v 0.014061 -0.014772 0.828921 -v 0.020325 0.000349 0.828824 -v 0.014062 0.015470 0.828674 -v -0.001059 0.021733 0.828558 -v -0.016181 0.015469 0.828545 -v -0.022444 0.000348 0.828642 -v -0.016325 -0.012832 0.924414 -v -0.001823 -0.018837 0.924662 -v 0.012680 -0.012829 0.924703 -v 0.018688 0.001673 0.924511 -v 0.012682 0.016173 0.924201 -v -0.001820 0.022178 0.923953 -v -0.016323 0.016170 0.923912 -v -0.022331 0.001668 0.924104 -v -0.016720 -0.010446 1.009476 -v -0.002836 -0.016195 1.009696 -v 0.011048 -0.010444 1.009720 -v 0.016800 0.003439 1.009536 -v 0.011050 0.017321 1.009250 -v -0.002833 0.023071 1.009030 -v -0.016718 0.017319 1.009005 -v -0.022470 0.003436 1.009189 -v -0.016649 -0.008573 1.105021 -v -0.003383 -0.014069 1.105043 -v 0.009884 -0.008574 1.105004 -v 0.015379 0.004692 1.104926 -v 0.009884 0.017958 1.104856 -v -0.003382 0.023453 1.104833 -v -0.016648 0.017959 1.104872 -v -0.022144 0.004693 1.104950 -v -0.015364 -0.008141 1.200534 -v -0.002717 -0.013380 1.200374 -v 0.009931 -0.008142 1.200275 -v 0.015170 0.004506 1.200295 -v 0.009933 0.017153 1.200423 -v -0.002714 0.022392 1.200583 -v -0.015361 0.017154 1.200682 -v -0.020601 0.004506 1.200662 -v -0.013598 -0.008354 1.285551 -v -0.001569 -0.013337 1.285442 -v 0.010460 -0.008355 1.285374 -v 0.015444 0.003674 1.285386 -v 0.010462 0.015704 1.285472 -v -0.001567 0.020687 1.285581 -v -0.013596 0.015705 1.285649 -v -0.018580 0.003676 1.285637 -v -0.012859 -0.007580 1.381091 -v -0.001449 -0.012306 1.381240 -v 0.009962 -0.007580 1.381275 -v 0.014689 0.003831 1.381177 -v 0.009964 0.015241 1.381002 -v -0.001447 0.019967 1.380853 -v -0.012858 0.015240 1.380818 -v -0.017585 0.003830 1.380916 -v -0.013903 -0.004826 1.476633 -v -0.003115 -0.009291 1.477013 -v 0.007676 -0.004818 1.477140 -v 0.012149 0.005972 1.476941 -v 0.007683 0.016759 1.476532 -v -0.003105 0.021224 1.476153 -v -0.013896 0.016751 1.476025 -v -0.018369 0.005961 1.476224 -v -0.015798 -0.001319 1.561579 -v -0.005629 -0.005527 1.561969 -v 0.004543 -0.001310 1.562129 -v 0.008759 0.008863 1.561967 -v 0.004549 0.019031 1.561577 -v -0.005620 0.023240 1.561187 -v -0.015792 0.019023 1.561027 -v -0.020008 0.008850 1.561189 -v -0.017524 0.001240 1.657010 -v -0.007969 -0.002715 1.657211 -v 0.001585 0.001246 1.657351 -v 0.005541 0.010802 1.657349 -v 0.001582 0.020357 1.657204 -v -0.007973 0.024313 1.657003 -v -0.017527 0.020352 1.656863 -v -0.021483 0.010795 1.656865 -v -0.017973 0.001385 1.752330 -v -0.009034 -0.002314 1.752364 -v -0.000098 0.001390 1.752486 -v 0.003600 0.010328 1.752624 -v -0.000105 0.019264 1.752698 -v -0.009044 0.022964 1.752664 -v -0.017980 0.019259 1.752542 -v -0.021679 0.010321 1.752404 -v -0.017881 0.000408 1.837244 -v -0.009561 -0.003036 1.837308 -v -0.001244 0.000412 1.837446 -v 0.002199 0.008732 1.837578 -v -0.001250 0.017050 1.837626 -v -0.009570 0.020494 1.837563 -v -0.017888 0.017046 1.837425 -v -0.021330 0.008726 1.837293 -v -0.018987 0.000749 1.932693 -v -0.011288 -0.002439 1.932923 -v -0.003590 0.000753 1.933097 -v -0.000401 0.008454 1.933111 -v -0.003590 0.016154 1.932958 -v -0.011288 0.019342 1.932728 -v -0.018987 0.016150 1.932554 -v -0.022175 0.008449 1.932540 -v -0.021654 0.003363 2.028214 -v -0.014579 0.000434 2.028583 -v -0.007500 0.003370 2.028784 -v -0.004564 0.010451 2.028700 -v -0.007491 0.017529 2.028379 -v -0.014566 0.020458 2.028011 -v -0.021645 0.017522 2.027810 -v -0.024580 0.010441 2.027894 -v -0.024951 0.007063 2.113144 -v -0.018496 0.004391 2.113536 -v -0.012036 0.007072 2.113736 -v -0.009355 0.013534 2.113626 -v -0.012024 0.019992 2.113271 -v -0.018478 0.022663 2.112879 -v -0.024938 0.019983 2.112679 -v -0.027619 0.013521 2.112789 -v -0.028687 0.011085 2.208547 -v -0.022848 0.008668 2.208866 -v -0.017005 0.011091 2.209037 -v -0.014582 0.016936 2.208958 -v -0.016997 0.022777 2.208678 -v -0.022835 0.025194 2.208359 -v -0.028678 0.022771 2.208188 -v -0.031102 0.016927 2.208266 -v -0.002241 0.002777 0.682536 -v -0.001310 0.000254 0.683649 -v -0.000298 -0.002238 0.682536 -v 0.000202 -0.003239 0.679849 -v -0.000102 -0.002163 0.677162 -v -0.001033 0.000361 0.676049 -v -0.002045 0.002853 0.677162 -v -0.002545 0.003854 0.679849 -v 0.015929 0.009544 0.683345 -v 0.016820 0.007023 0.684450 -v 0.017799 0.004536 0.683342 -v 0.018292 0.003540 0.680671 -v 0.018011 0.004618 0.678001 -v 0.017120 0.007139 0.676896 -v 0.016141 0.009626 0.678004 -v 0.015647 0.010623 0.680675 -v 0.034046 0.016292 0.684152 -v 0.034979 0.013804 0.685252 -v 0.035990 0.011347 0.684153 -v 0.036485 0.010359 0.681498 -v 0.036176 0.011419 0.678843 -v 0.035243 0.013906 0.677743 -v 0.034233 0.016364 0.678842 -v 0.033737 0.017352 0.681497 -v 0.054131 0.024564 0.684849 -v 0.055104 0.022110 0.685944 -v 0.056092 0.019661 0.684851 -v 0.056516 0.018651 0.682211 -v 0.056128 0.019673 0.679570 -v 0.055155 0.022127 0.678476 -v 0.054167 0.024577 0.679569 -v 0.053743 0.025586 0.682208 -v 0.074044 0.032251 0.684438 -v 0.075049 0.029828 0.685526 -v 0.076002 0.027382 0.684440 -v 0.076345 0.026348 0.681817 -v 0.075877 0.027330 0.679193 -v 0.074872 0.029754 0.678106 -v 0.073919 0.032199 0.679192 -v 0.073576 0.033234 0.681815 -v 0.091110 0.039337 0.683794 -v 0.092343 0.037039 0.684875 -v 0.093630 0.034770 0.683797 -v 0.094216 0.033859 0.681190 -v 0.093758 0.034839 0.678583 -v 0.092525 0.037136 0.677502 -v 0.091238 0.039405 0.678581 -v 0.090652 0.040316 0.681187 -v 0.107125 0.050568 0.685506 -v 0.108765 0.048590 0.686630 -v 0.110700 0.046818 0.685639 -v 0.111796 0.046290 0.683111 -v 0.111412 0.047315 0.680529 -v 0.109772 0.049294 0.679404 -v 0.107837 0.051066 0.680396 -v 0.106740 0.051594 0.682923 -v 0.118604 0.065707 0.690156 -v 0.120547 0.064138 0.691393 -v 0.122964 0.063001 0.690595 -v 0.124438 0.062962 0.688229 -v 0.124106 0.064045 0.685682 -v 0.122163 0.065614 0.684446 -v 0.119746 0.066751 0.685244 -v 0.118272 0.066790 0.687609 -v 0.125589 0.081927 0.696399 -v 0.127566 0.080453 0.697660 -v 0.130068 0.079511 0.696937 -v 0.131629 0.079651 0.694653 -v 0.131335 0.080792 0.692146 -v 0.129357 0.082266 0.690886 -v 0.126855 0.083209 0.691609 -v 0.125295 0.083068 0.693892 -v 0.135457 0.099642 0.703649 -v 0.137307 0.097977 0.704824 -v 0.139634 0.096763 0.703997 -v 0.141075 0.096711 0.701653 -v 0.140786 0.097850 0.699165 -v 0.138936 0.099514 0.697990 -v 0.136608 0.100728 0.698817 -v 0.135167 0.100781 0.701161 -v 0.148089 0.116108 0.709413 -v 0.149800 0.114282 0.710517 -v 0.151930 0.112831 0.709605 -v 0.153232 0.112604 0.707211 -v 0.152944 0.113735 0.704738 -v 0.151234 0.115561 0.703635 -v 0.149103 0.117012 0.704547 -v 0.147801 0.117239 0.706941 -v 0.160421 0.129641 0.714412 -v 0.161888 0.127580 0.715402 -v 0.163859 0.125983 0.714429 -v 0.165178 0.125785 0.712063 -v 0.165073 0.127101 0.709689 -v 0.163606 0.129162 0.708698 -v 0.161636 0.130760 0.709671 -v 0.160316 0.130958 0.712038 -v 0.175420 0.141615 0.722538 -v 0.176479 0.139252 0.723300 -v 0.178265 0.137529 0.722238 -v 0.179732 0.137455 0.719973 -v 0.180020 0.139074 0.717833 -v 0.178961 0.141437 0.717070 -v 0.177175 0.143160 0.718132 -v 0.175709 0.143233 0.720397 -v 0.191092 0.149562 0.733573 -v 0.191724 0.146998 0.734039 -v 0.193315 0.145192 0.732856 -v 0.194933 0.145202 0.730718 -v 0.195631 0.147022 0.728877 -v 0.194999 0.149586 0.728411 -v 0.193408 0.151392 0.729593 -v 0.191790 0.151382 0.731731 -v 0.205462 0.153307 0.745200 -v 0.205901 0.150698 0.745516 -v 0.207393 0.148875 0.744272 -v 0.209063 0.148905 0.742197 -v 0.209934 0.150771 0.740507 -v 0.209495 0.153380 0.740192 -v 0.208004 0.155203 0.741436 -v 0.206333 0.155172 0.743510 -v 0.221554 0.157652 0.758160 -v 0.222121 0.155101 0.758577 -v 0.223664 0.153309 0.757390 -v 0.225280 0.153326 0.755294 -v 0.226022 0.155142 0.753518 -v 0.225455 0.157693 0.753101 -v 0.223912 0.159485 0.754289 -v 0.222296 0.159468 0.756384 -v -0.003776 -0.000005 0.705578 -v -0.001086 -0.000002 0.706690 -v 0.001601 0.000121 0.705578 -v 0.002711 0.000292 0.702893 -v 0.001594 0.000411 0.700207 -v -0.001096 0.000407 0.699095 -v -0.003783 0.000284 0.700207 -v -0.004893 0.000113 0.702893 -v -0.002851 0.017210 0.707162 -v -0.000181 0.016967 0.708249 -v 0.002487 0.016930 0.707132 -v 0.003591 0.017120 0.704464 -v 0.002484 0.017426 0.701809 -v -0.000186 0.017668 0.700722 -v -0.002855 0.017706 0.701839 -v -0.003959 0.017516 0.704507 -v -0.001927 0.034186 0.708729 -v 0.000726 0.034293 0.709833 -v 0.003378 0.034482 0.708737 -v 0.004475 0.034643 0.706084 -v 0.003374 0.034680 0.703427 -v 0.000721 0.034573 0.702324 -v -0.001931 0.034384 0.703420 -v -0.003028 0.034223 0.706073 -v -0.004908 0.052302 0.708378 -v -0.002433 0.053257 0.709441 -v 0.000103 0.053967 0.708331 -v 0.001214 0.054016 0.705699 -v 0.000250 0.053376 0.703086 -v -0.002225 0.052421 0.702023 -v -0.004761 0.051711 0.703133 -v -0.005873 0.051662 0.705765 -v -0.012934 0.067634 0.704683 -v -0.010855 0.069352 0.705573 -v -0.008567 0.070527 0.704369 -v -0.007411 0.070471 0.701775 -v -0.008063 0.069216 0.699312 -v -0.010142 0.067498 0.698422 -v -0.012430 0.066323 0.699627 -v -0.013587 0.066379 0.702220 -v -0.023294 0.079363 0.699553 -v -0.021348 0.081231 0.700384 -v -0.019201 0.082569 0.699131 -v -0.018112 0.082593 0.696527 -v -0.018718 0.081289 0.694098 -v -0.020664 0.079421 0.693267 -v -0.022810 0.078083 0.694520 -v -0.023899 0.078059 0.697124 -v -0.034074 0.093594 0.696114 -v -0.031862 0.095063 0.697020 -v -0.029677 0.096320 0.695789 -v -0.028799 0.096629 0.693143 -v -0.029742 0.095810 0.690632 -v -0.031954 0.094342 0.689726 -v -0.034139 0.093085 0.690957 -v -0.035017 0.092775 0.693603 -v -0.042227 0.109604 0.696748 -v -0.039802 0.110646 0.697643 -v -0.037592 0.111824 0.696419 -v -0.036891 0.112446 0.693794 -v -0.038111 0.112150 0.691305 -v -0.040537 0.111107 0.690411 -v -0.042747 0.109930 0.691634 -v -0.043447 0.109307 0.694260 -v -0.048617 0.124442 0.699427 -v -0.046206 0.125475 0.700315 -v -0.044022 0.126673 0.699103 -v -0.043346 0.127333 0.696499 -v -0.044573 0.127070 0.694030 -v -0.046985 0.126037 0.693142 -v -0.049168 0.124839 0.694355 -v -0.049844 0.124179 0.696958 -v -0.057108 0.140750 0.700663 -v -0.054865 0.142068 0.701560 -v -0.052705 0.143275 0.700356 -v -0.051892 0.143662 0.697756 -v -0.052903 0.143005 0.695282 -v -0.055146 0.141687 0.694385 -v -0.057307 0.140480 0.695589 -v -0.058120 0.140093 0.698189 -v -0.066885 0.156253 0.698415 -v -0.064825 0.157832 0.699275 -v -0.062685 0.159041 0.698077 -v -0.061717 0.159170 0.695523 -v -0.062489 0.158145 0.693109 -v -0.064549 0.156566 0.692248 -v -0.066690 0.155358 0.693446 -v -0.067657 0.155228 0.696000 -v -0.076218 0.169032 0.694894 -v -0.074283 0.170753 0.695717 -v -0.072263 0.172098 0.694496 -v -0.071341 0.172280 0.691947 -v -0.072056 0.171191 0.689563 -v -0.073990 0.169470 0.688740 -v -0.076010 0.168124 0.689961 -v -0.076933 0.167943 0.692510 -v -0.087720 0.182333 0.692764 -v -0.085869 0.184125 0.693570 -v -0.084092 0.185726 0.692320 -v -0.083428 0.186198 0.689747 -v -0.084267 0.185264 0.687357 -v -0.086118 0.183472 0.686552 -v -0.087895 0.181871 0.687802 -v -0.088559 0.181399 0.690375 -v -0.100343 0.194675 0.693327 -v -0.098586 0.196535 0.694129 -v -0.097072 0.198371 0.692894 -v -0.096686 0.199107 0.690345 -v -0.097656 0.198312 0.687974 -v -0.099413 0.196452 0.687172 -v -0.100927 0.194616 0.688407 -v -0.101313 0.193880 0.690956 -v -0.112661 0.204842 0.695366 -v -0.110966 0.206733 0.696170 -v -0.109575 0.208655 0.694959 -v -0.109304 0.209482 0.692441 -v -0.110311 0.208731 0.690093 -v -0.112007 0.206840 0.689288 -v -0.113398 0.204918 0.690500 -v -0.113669 0.204091 0.693018 -v -0.126755 0.216560 0.697632 -v -0.125036 0.218408 0.698425 -v -0.123574 0.220250 0.697210 -v -0.123226 0.221005 0.694698 -v -0.124196 0.220232 0.692360 -v -0.125915 0.218383 0.691567 -v -0.127377 0.216542 0.692782 -v -0.127724 0.215787 0.695294 -v 0.001549 -0.000761 0.737006 -v -0.000914 0.000320 0.738118 -v -0.003429 0.001275 0.737006 -v -0.004522 0.001545 0.734322 -v -0.003553 0.000972 0.731638 -v -0.001090 -0.000109 0.730526 -v 0.001425 -0.001064 0.731638 -v 0.002518 -0.001334 0.734322 -v -0.005180 -0.016526 0.738017 -v -0.007614 -0.015418 0.739120 -v -0.010099 -0.014432 0.738012 -v -0.011178 -0.014147 0.735343 -v -0.010220 -0.014728 0.732676 -v -0.007785 -0.015837 0.731573 -v -0.005301 -0.016822 0.732681 -v -0.004222 -0.017108 0.735350 -v -0.011871 -0.032201 0.739022 -v -0.014310 -0.031146 0.740121 -v -0.016800 -0.030217 0.739024 -v -0.017883 -0.029958 0.736373 -v -0.016924 -0.030519 0.733721 -v -0.014485 -0.031574 0.732621 -v -0.011995 -0.032503 0.733719 -v -0.010912 -0.032762 0.736370 -v -0.018609 -0.049912 0.740201 -v -0.021088 -0.049013 0.741303 -v -0.023617 -0.048238 0.740222 -v -0.024716 -0.048042 0.737592 -v -0.023741 -0.048540 0.734952 -v -0.021262 -0.049440 0.733850 -v -0.018733 -0.050215 0.734931 -v -0.017634 -0.050410 0.737561 -v -0.023718 -0.067479 0.741290 -v -0.026228 -0.066741 0.742396 -v -0.028789 -0.066128 0.741332 -v -0.029901 -0.065999 0.738721 -v -0.028912 -0.066429 0.736093 -v -0.026402 -0.067167 0.734988 -v -0.023841 -0.067780 0.736052 -v -0.022729 -0.067909 0.738663 -v -0.027615 -0.083498 0.742305 -v -0.030092 -0.082703 0.743399 -v -0.032627 -0.082055 0.742339 -v -0.033734 -0.081934 0.739745 -v -0.032765 -0.082411 0.737137 -v -0.030287 -0.083206 0.736043 -v -0.027753 -0.083854 0.737103 -v -0.026646 -0.083975 0.739697 -v -0.033521 -0.101119 0.743840 -v -0.035879 -0.100032 0.744900 -v -0.038316 -0.099153 0.743824 -v -0.039403 -0.098997 0.741243 -v -0.038505 -0.099656 0.738669 -v -0.036146 -0.100743 0.737610 -v -0.033710 -0.101623 0.738685 -v -0.032622 -0.101778 0.741266 -v -0.041700 -0.117725 0.746130 -v -0.043909 -0.116362 0.747145 -v -0.046225 -0.115267 0.746047 -v -0.047291 -0.115081 0.743478 -v -0.046483 -0.115913 0.740944 -v -0.044274 -0.117277 0.739928 -v -0.041958 -0.118372 0.741027 -v -0.040892 -0.118557 0.743596 -v -0.050195 -0.131781 0.748511 -v -0.052375 -0.130400 0.749516 -v -0.054646 -0.129258 0.748416 -v -0.055679 -0.129025 0.745857 -v -0.054867 -0.129837 0.743336 -v -0.052687 -0.131219 0.742331 -v -0.050416 -0.132361 0.743431 -v -0.049384 -0.132594 0.745990 -v -0.058927 -0.147993 0.750247 -v -0.061218 -0.146858 0.751268 -v -0.063520 -0.145812 0.750183 -v -0.064487 -0.145467 0.747630 -v -0.063551 -0.146026 0.745103 -v -0.061261 -0.147160 0.744083 -v -0.058958 -0.148207 0.745167 -v -0.057991 -0.148552 0.747720 -v -0.066069 -0.165095 0.749974 -v -0.068451 -0.164212 0.750988 -v -0.070776 -0.163259 0.749910 -v -0.071684 -0.162794 0.747373 -v -0.070642 -0.163089 0.744862 -v -0.068260 -0.163972 0.743849 -v -0.065935 -0.164925 0.744926 -v -0.065027 -0.165390 0.747463 -v -0.071680 -0.180538 0.748831 -v -0.074035 -0.179633 0.749839 -v -0.076361 -0.178726 0.748768 -v -0.077295 -0.178348 0.746245 -v -0.076291 -0.178720 0.743748 -v -0.073936 -0.179625 0.742740 -v -0.071610 -0.180532 0.743812 -v -0.070675 -0.180910 0.746335 -v -0.078602 -0.197303 0.749826 -v -0.080832 -0.196141 0.750808 -v -0.083151 -0.195259 0.749744 -v -0.084201 -0.195173 0.747259 -v -0.083367 -0.195935 0.744808 -v -0.081137 -0.197098 0.743826 -v -0.078818 -0.197980 0.744889 -v -0.077768 -0.198065 0.747374 -v -0.086476 -0.213165 0.753919 -v -0.088570 -0.211763 0.754834 -v -0.090883 -0.210906 0.753783 -v -0.092060 -0.211096 0.751381 -v -0.091411 -0.212222 0.749035 -v -0.089317 -0.213624 0.748120 -v -0.087004 -0.214481 0.749171 -v -0.085827 -0.214291 0.751574 -v -0.093958 -0.226668 0.759533 -v -0.095991 -0.225185 0.760408 -v -0.098295 -0.224345 0.759368 -v -0.099520 -0.224639 0.757021 -v -0.098950 -0.225895 0.754742 -v -0.096917 -0.227378 0.753867 -v -0.094613 -0.228218 0.754907 -v -0.093388 -0.227924 0.757254 -v -0.102426 -0.242021 0.765812 -v -0.104478 -0.240611 0.766705 -v -0.106763 -0.239768 0.765669 -v -0.107940 -0.239987 0.763309 -v -0.107322 -0.241139 0.761009 -v -0.105269 -0.242550 0.760115 -v -0.102985 -0.243392 0.761151 -v -0.101807 -0.243174 0.763511 -v -0.002196 0.002497 0.777651 -v -0.001224 -0.000012 0.778761 -v -0.000095 -0.002454 0.777651 -v 0.000529 -0.003399 0.774969 -v 0.000282 -0.002294 0.772288 -v -0.000690 0.000215 0.771177 -v -0.001819 0.002657 0.772288 -v -0.002443 0.003603 0.774969 -v 0.014550 0.009436 0.779055 -v 0.015496 0.006934 0.780157 -v 0.016601 0.004499 0.779052 -v 0.017218 0.003558 0.776386 -v 0.016985 0.004662 0.773722 -v 0.016040 0.007165 0.772620 -v 0.014934 0.009599 0.773725 -v 0.014317 0.010540 0.776391 -v 0.031262 0.016361 0.780457 -v 0.032231 0.013886 0.781555 -v 0.033353 0.011476 0.780458 -v 0.033970 0.010543 0.777809 -v 0.033722 0.011633 0.775160 -v 0.032753 0.014108 0.774062 -v 0.031632 0.016518 0.775159 -v 0.031014 0.017451 0.777807 -v 0.049759 0.024490 0.781917 -v 0.050821 0.022075 0.783015 -v 0.052008 0.019713 0.781931 -v 0.052626 0.018787 0.779299 -v 0.052311 0.019840 0.776660 -v 0.051250 0.022255 0.775562 -v 0.050062 0.024617 0.776646 -v 0.049445 0.025543 0.779278 -v 0.067226 0.033245 0.782907 -v 0.068384 0.030895 0.784005 -v 0.069638 0.028584 0.782932 -v 0.070255 0.027665 0.780316 -v 0.069872 0.028677 0.777690 -v 0.068715 0.031027 0.776591 -v 0.067460 0.033338 0.777665 -v 0.066844 0.034257 0.780280 -v 0.082656 0.041457 0.783662 -v 0.083736 0.039087 0.784749 -v 0.084948 0.036772 0.783680 -v 0.085583 0.035870 0.781082 -v 0.085268 0.036909 0.778476 -v 0.084188 0.039279 0.777390 -v 0.082976 0.041594 0.778458 -v 0.082341 0.042496 0.781057 -v 0.100531 0.049429 0.785395 -v 0.101232 0.046918 0.786430 -v 0.102240 0.044537 0.785344 -v 0.102964 0.043679 0.782773 -v 0.102980 0.044848 0.780224 -v 0.102279 0.047359 0.779189 -v 0.101271 0.049741 0.780274 -v 0.100547 0.050599 0.782845 -v 0.119586 0.054212 0.789778 -v 0.119892 0.051608 0.790724 -v 0.120689 0.049185 0.789602 -v 0.121510 0.048361 0.787069 -v 0.121873 0.049619 0.784609 -v 0.121567 0.052223 0.783662 -v 0.120771 0.054647 0.784785 -v 0.119950 0.055471 0.787318 -v 0.136856 0.057121 0.794592 -v 0.137457 0.054610 0.795594 -v 0.138356 0.052229 0.794501 -v 0.139026 0.051373 0.791954 -v 0.139075 0.052544 0.789444 -v 0.138474 0.055055 0.788442 -v 0.137575 0.057436 0.789535 -v 0.136905 0.058292 0.792082 -v 0.154317 0.064845 0.795227 -v 0.155913 0.062831 0.796212 -v 0.157188 0.060649 0.795122 -v 0.157396 0.059578 0.792596 -v 0.156415 0.060245 0.790112 -v 0.154819 0.062259 0.789127 -v 0.153543 0.064440 0.790217 -v 0.153335 0.065511 0.792743 -v 0.166770 0.077744 0.788248 -v 0.169102 0.076459 0.788873 -v 0.170649 0.074560 0.787657 -v 0.170506 0.073160 0.785313 -v 0.168756 0.073078 0.783214 -v 0.166424 0.074362 0.782589 -v 0.164877 0.076261 0.783805 -v 0.165020 0.077661 0.786149 -v 0.173723 0.091491 0.778113 -v 0.176118 0.090332 0.778662 -v 0.177744 0.088578 0.777374 -v 0.177647 0.087255 0.775002 -v 0.175886 0.087140 0.772937 -v 0.173491 0.088299 0.772388 -v 0.171865 0.090053 0.773677 -v 0.171961 0.091376 0.776048 -v 0.184262 0.106005 0.771765 -v 0.186219 0.104309 0.772525 -v 0.187824 0.102552 0.771250 -v 0.188136 0.101764 0.768687 -v 0.186973 0.102407 0.766338 -v 0.185016 0.104103 0.765578 -v 0.183411 0.105860 0.766853 -v 0.183099 0.106647 0.769416 -v 0.198676 0.117994 0.772921 -v 0.200088 0.115837 0.773658 -v 0.201676 0.114086 0.772391 -v 0.202510 0.113768 0.769863 -v 0.202101 0.115068 0.767553 -v 0.200689 0.117225 0.766816 -v 0.199101 0.118975 0.768083 -v 0.198267 0.119294 0.770612 -v 0.212818 0.127034 0.778385 -v 0.214028 0.124759 0.779058 -v 0.215621 0.123030 0.777804 -v 0.216663 0.122861 0.775358 -v 0.216544 0.124351 0.773153 -v 0.215333 0.126626 0.772480 -v 0.213741 0.128355 0.773734 -v 0.212699 0.128524 0.776180 -v 0.228949 0.137474 0.784421 -v 0.230283 0.135303 0.785133 -v 0.231854 0.133579 0.783884 -v 0.232743 0.133312 0.781406 -v 0.232428 0.134659 0.779150 -v 0.231094 0.136831 0.778438 -v 0.229522 0.138555 0.779687 -v 0.228634 0.138821 0.782165 -v -0.001063 -0.002358 0.830522 -v -0.000715 0.000311 0.831631 -v -0.000567 0.002998 0.830522 -v -0.000705 0.004129 0.827844 -v -0.001049 0.003043 0.825165 -v -0.001398 0.000374 0.824056 -v -0.001546 -0.002313 0.825165 -v -0.001407 -0.003445 0.827844 -v -0.018768 -0.001845 0.831614 -v -0.018623 0.000819 0.832732 -v -0.018616 0.003499 0.831640 -v -0.018751 0.004623 0.828978 -v -0.018949 0.003534 0.826304 -v -0.019095 0.000870 0.825186 -v -0.019102 -0.001809 0.826278 -v -0.018967 -0.002934 0.828941 -v -0.036708 -0.001316 0.832724 -v -0.036282 0.001311 0.833812 -v -0.036078 0.003960 0.832711 -v -0.036216 0.005078 0.830065 -v -0.036615 0.004010 0.827425 -v -0.037041 0.001383 0.826337 -v -0.037245 -0.001266 0.827438 -v -0.037107 -0.002384 0.830084 -v -0.055969 0.002826 0.835480 -v -0.054914 0.005292 0.836467 -v -0.054261 0.007820 0.835306 -v -0.054392 0.008930 0.832675 -v -0.055231 0.007971 0.830117 -v -0.056286 0.005506 0.829129 -v -0.056939 0.002977 0.830291 -v -0.056808 0.001868 0.832921 -v -0.072738 0.011204 0.839759 -v -0.071109 0.013376 0.840595 -v -0.070044 0.015688 0.839336 -v -0.070167 0.016788 0.836720 -v -0.071407 0.016030 0.834280 -v -0.073036 0.013859 0.833444 -v -0.074101 0.011546 0.834702 -v -0.073977 0.010447 0.837318 -v -0.085761 0.021399 0.844647 -v -0.083905 0.023390 0.845393 -v -0.082703 0.025588 0.844092 -v -0.082860 0.026705 0.841504 -v -0.084284 0.026087 0.839147 -v -0.086140 0.024096 0.838400 -v -0.087341 0.021898 0.839701 -v -0.087184 0.020781 0.842289 -v -0.100002 0.032577 0.850619 -v -0.098183 0.034575 0.851372 -v -0.097079 0.036828 0.850117 -v -0.097338 0.038016 0.847589 -v -0.098808 0.037444 0.845270 -v -0.100628 0.035446 0.844517 -v -0.101731 0.033194 0.845772 -v -0.101472 0.032005 0.848299 -v -0.114394 0.042657 0.857523 -v -0.112601 0.044653 0.858279 -v -0.111590 0.046954 0.857073 -v -0.111955 0.048212 0.854613 -v -0.113480 0.047691 0.852339 -v -0.115274 0.045695 0.851584 -v -0.116284 0.043394 0.852789 -v -0.115920 0.042136 0.855250 -v -0.127143 0.051758 0.864365 -v -0.125373 0.053749 0.865121 -v -0.124331 0.056009 0.863905 -v -0.124630 0.057214 0.861429 -v -0.126093 0.056658 0.859144 -v -0.127864 0.054667 0.858388 -v -0.128905 0.052407 0.859604 -v -0.128606 0.051202 0.862080 -v -0.142130 0.062431 0.870312 -v -0.140591 0.064557 0.871139 -v -0.139485 0.066755 0.869905 -v -0.139459 0.067736 0.867335 -v -0.140530 0.066927 0.864932 -v -0.142069 0.064801 0.864105 -v -0.143176 0.062603 0.865338 -v -0.143201 0.061622 0.867909 -v -0.159836 0.072446 0.871786 -v -0.158554 0.074706 0.872638 -v -0.157389 0.076850 0.871405 -v -0.157022 0.077622 0.868807 -v -0.157668 0.076570 0.866368 -v -0.158950 0.074310 0.865515 -v -0.160115 0.072166 0.866749 -v -0.160482 0.071394 0.869346 -v -0.175860 0.081302 0.871227 -v -0.174148 0.083253 0.872031 -v -0.172781 0.085242 0.870784 -v -0.172559 0.086105 0.868218 -v -0.173612 0.085336 0.865835 -v -0.175324 0.083385 0.865031 -v -0.176692 0.081396 0.866277 -v -0.176913 0.080533 0.868844 -v -0.186926 0.094088 0.876610 -v -0.184420 0.095030 0.876950 -v -0.182795 0.096678 0.875560 -v -0.183004 0.098066 0.873254 -v -0.184925 0.098381 0.871384 -v -0.187431 0.097439 0.871044 -v -0.189055 0.095791 0.872434 -v -0.188846 0.094403 0.874739 -v -0.188012 0.107651 0.888162 -v -0.185382 0.107542 0.887647 -v -0.183722 0.108828 0.885980 -v -0.184003 0.110756 0.884138 -v -0.186060 0.112197 0.883200 -v -0.188690 0.112306 0.883715 -v -0.190350 0.111020 0.885382 -v -0.190069 0.109091 0.887224 -v -0.181054 0.118288 0.901034 -v -0.178594 0.117818 0.900125 -v -0.176999 0.118967 0.898327 -v -0.177202 0.121063 0.896695 -v -0.179085 0.122877 0.896184 -v -0.181544 0.123348 0.897094 -v -0.183139 0.122198 0.898892 -v -0.182936 0.120103 0.900524 -v -0.173562 0.130370 0.915458 -v -0.171007 0.130129 0.914810 -v -0.169383 0.131351 0.913116 -v -0.169640 0.133320 0.911367 -v -0.171628 0.134883 0.910588 -v -0.174182 0.135125 0.911236 -v -0.175807 0.133903 0.912930 -v -0.175550 0.131933 0.914679 -v 0.000810 0.002539 0.890249 -v -0.001662 0.001469 0.891353 -v -0.004002 0.000136 0.890249 -v -0.004840 -0.000679 0.887583 -v -0.003685 -0.000499 0.884917 -v -0.001214 0.000571 0.883813 -v 0.001127 0.001905 0.884917 -v 0.001965 0.002720 0.887583 -v 0.007190 -0.010362 0.892347 -v 0.004724 -0.011406 0.893441 -v 0.002401 -0.012738 0.892345 -v 0.001583 -0.013578 0.889700 -v 0.002748 -0.013433 0.887056 -v 0.005215 -0.012389 0.885961 -v 0.007537 -0.011058 0.887058 -v 0.008356 -0.010218 0.889703 -v 0.013601 -0.023325 0.894454 -v 0.011163 -0.024390 0.895546 -v 0.008850 -0.025705 0.894455 -v 0.008017 -0.026499 0.891820 -v 0.009151 -0.026307 0.889185 -v 0.011588 -0.025241 0.888093 -v 0.013902 -0.023927 0.889184 -v 0.014735 -0.023133 0.891819 -v 0.020950 -0.037888 0.896206 -v 0.018576 -0.039042 0.897301 -v 0.016267 -0.040328 0.896215 -v 0.015375 -0.040993 0.893582 -v 0.016424 -0.040648 0.890946 -v 0.018798 -0.039494 0.889850 -v 0.021107 -0.038208 0.890937 -v 0.021999 -0.037543 0.893569 -v 0.028431 -0.051871 0.896620 -v 0.026124 -0.053115 0.897713 -v 0.023818 -0.054373 0.896632 -v 0.022864 -0.054908 0.894010 -v 0.023821 -0.054405 0.891384 -v 0.026128 -0.053160 0.890291 -v 0.028434 -0.051902 0.891372 -v 0.029388 -0.051368 0.893993 -v 0.035163 -0.064170 0.896381 -v 0.032837 -0.065344 0.897466 -v 0.030539 -0.066582 0.896392 -v 0.029615 -0.067158 0.893788 -v 0.030607 -0.066734 0.891179 -v 0.032933 -0.065559 0.890094 -v 0.035231 -0.064322 0.891168 -v 0.036155 -0.063746 0.893773 -v 0.042007 -0.078023 0.897592 -v 0.039583 -0.078960 0.898646 -v 0.037299 -0.080190 0.897579 -v 0.036493 -0.080991 0.895014 -v 0.037638 -0.080895 0.892455 -v 0.040062 -0.079957 0.891400 -v 0.042346 -0.078727 0.892468 -v 0.043151 -0.077926 0.895033 -v 0.047900 -0.091944 0.901011 -v 0.045393 -0.092647 0.902006 -v 0.043123 -0.093869 0.900945 -v 0.042421 -0.094894 0.898450 -v 0.043698 -0.095122 0.895982 -v 0.046205 -0.094419 0.894988 -v 0.048474 -0.093198 0.896049 -v 0.049177 -0.092172 0.898544 -v 0.052538 -0.104440 0.905379 -v 0.050020 -0.105070 0.906346 -v 0.047758 -0.106266 0.905286 -v 0.047077 -0.107329 0.902821 -v 0.048376 -0.107635 0.900394 -v 0.050894 -0.107005 0.899427 -v 0.053156 -0.105809 0.900487 -v 0.053837 -0.104747 0.902952 -v 0.057985 -0.118870 0.909731 -v 0.055516 -0.119583 0.910715 -v 0.053226 -0.120660 0.909632 -v 0.052457 -0.121469 0.907117 -v 0.053659 -0.121536 0.904642 -v 0.056129 -0.120823 0.903658 -v 0.058418 -0.119747 0.904741 -v 0.059187 -0.118938 0.907257 -v 0.063544 -0.134152 0.911493 -v 0.061122 -0.134946 0.912484 -v 0.058801 -0.135891 0.911389 -v 0.057941 -0.136434 0.908851 -v 0.059046 -0.136257 0.906356 -v 0.061468 -0.135463 0.905365 -v 0.063788 -0.134518 0.906460 -v 0.064648 -0.133975 0.908998 -v 0.068298 -0.147269 0.912293 -v 0.065893 -0.148062 0.913278 -v 0.063680 -0.149235 0.912227 -v 0.062954 -0.150102 0.909757 -v 0.064142 -0.150155 0.907314 -v 0.066546 -0.149362 0.906329 -v 0.068760 -0.148189 0.907380 -v 0.069485 -0.147321 0.909850 -v 0.074140 -0.159325 0.917145 -v 0.071730 -0.160072 0.918105 -v 0.069797 -0.161773 0.917296 -v 0.069473 -0.163432 0.915192 -v 0.070947 -0.164078 0.913025 -v 0.073357 -0.163331 0.912065 -v 0.075290 -0.161630 0.912874 -v 0.075614 -0.159970 0.914978 -v 0.080410 -0.167926 0.926671 -v 0.077995 -0.168639 0.927594 -v 0.076356 -0.170725 0.927204 -v 0.076453 -0.172962 0.925730 -v 0.078228 -0.174041 0.924035 -v 0.080643 -0.173328 0.923111 -v 0.082282 -0.171242 0.923501 -v 0.082185 -0.169005 0.924975 -v 0.086202 -0.172811 0.938341 -v 0.083796 -0.173512 0.939245 -v 0.082281 -0.175696 0.939070 -v 0.082544 -0.178084 0.937918 -v 0.084431 -0.179277 0.936464 -v 0.086837 -0.178576 0.935561 -v 0.088352 -0.176392 0.935736 -v 0.088089 -0.174004 0.936887 -v 0.093070 -0.178787 0.952000 -v 0.090685 -0.179488 0.952907 -v 0.089104 -0.181585 0.952587 -v 0.089252 -0.183850 0.951227 -v 0.091044 -0.184957 0.949624 -v 0.093429 -0.184256 0.948717 -v 0.095010 -0.182159 0.949037 -v 0.094862 -0.179893 0.950397 -v -0.002075 0.004837 0.948824 -v -0.002653 0.002205 0.949925 -v -0.002898 -0.000478 0.948824 -v -0.002667 -0.001641 0.946165 -v -0.002094 -0.000603 0.943507 -v -0.001516 0.002029 0.942406 -v -0.001270 0.004712 0.943507 -v -0.001502 0.005875 0.946165 -v 0.017224 0.001670 0.951783 -v 0.016629 -0.000942 0.952874 -v 0.016364 -0.003606 0.951776 -v 0.016583 -0.004760 0.949132 -v 0.017158 -0.003729 0.946491 -v 0.017753 -0.001116 0.945400 -v 0.018019 0.001547 0.946498 -v 0.017799 0.002701 0.949141 -v 0.036467 -0.001488 0.954733 -v 0.035903 -0.004089 0.955822 -v 0.035670 -0.006741 0.954736 -v 0.035903 -0.007890 0.952110 -v 0.036466 -0.006864 0.949484 -v 0.037030 -0.004263 0.948395 -v 0.037264 -0.001611 0.949481 -v 0.037030 -0.000461 0.952107 -v 0.058145 -0.004544 0.958105 -v 0.057598 -0.007131 0.959189 -v 0.057339 -0.009763 0.958105 -v 0.057519 -0.010898 0.955489 -v 0.058033 -0.009871 0.952872 -v 0.058580 -0.007284 0.951787 -v 0.058839 -0.004652 0.952871 -v 0.058659 -0.003517 0.955488 -v 0.079402 -0.008148 0.960542 -v 0.078865 -0.010720 0.961620 -v 0.078569 -0.013330 0.960538 -v 0.078687 -0.014448 0.957930 -v 0.079149 -0.013420 0.955323 -v 0.079685 -0.010847 0.954245 -v 0.079981 -0.008238 0.955326 -v 0.079864 -0.007120 0.957935 -v 0.097896 -0.011005 0.962588 -v 0.097546 -0.013582 0.963686 -v 0.097579 -0.016211 0.962660 -v 0.097975 -0.017352 0.960109 -v 0.098504 -0.016338 0.957528 -v 0.098854 -0.013762 0.956430 -v 0.098821 -0.011133 0.957456 -v 0.098424 -0.009991 0.960007 -v 0.117457 -0.010305 0.967493 -v 0.117423 -0.012852 0.968668 -v 0.118108 -0.015436 0.967820 -v 0.119109 -0.016545 0.965446 -v 0.119841 -0.015528 0.962937 -v 0.119875 -0.012981 0.961762 -v 0.119191 -0.010397 0.962609 -v 0.118189 -0.009288 0.964983 -v 0.135301 -0.005449 0.975735 -v 0.135551 -0.007905 0.977029 -v 0.136823 -0.010317 0.976452 -v 0.138373 -0.011272 0.974342 -v 0.139293 -0.010211 0.971934 -v 0.139043 -0.007755 0.970639 -v 0.137771 -0.005343 0.971217 -v 0.136221 -0.004388 0.973327 -v 0.149616 0.002215 0.985247 -v 0.150072 -0.000124 0.986658 -v 0.151637 -0.002375 0.986264 -v 0.153394 -0.003219 0.984296 -v 0.154313 -0.002162 0.981907 -v 0.153857 0.000178 0.980497 -v 0.152292 0.002429 0.980891 -v 0.150535 0.003273 0.982858 -v 0.165702 0.012331 0.995219 -v 0.166354 0.010135 0.996745 -v 0.168062 0.007997 0.996449 -v 0.169826 0.007170 0.994505 -v 0.170612 0.008138 0.992051 -v 0.169960 0.010334 0.990526 -v 0.168252 0.012471 0.990822 -v 0.166488 0.013298 0.992766 -v 0.180926 0.024571 1.004078 -v 0.181771 0.022547 1.005710 -v 0.183632 0.020553 1.005512 -v 0.185418 0.019758 1.003600 -v 0.186083 0.020627 1.001094 -v 0.185237 0.022652 0.999462 -v 0.183376 0.024646 0.999660 -v 0.181591 0.025441 1.001572 -v 0.194325 0.037242 1.011478 -v 0.195102 0.035181 1.013068 -v 0.196754 0.033044 1.012773 -v 0.198311 0.032083 1.010765 -v 0.198863 0.032861 1.008221 -v 0.198085 0.034922 1.006631 -v 0.196434 0.037059 1.006926 -v 0.194876 0.038020 1.008934 -v 0.213077 0.047008 1.017817 -v 0.213427 0.044753 1.019258 -v 0.214329 0.042266 1.018721 -v 0.215253 0.041004 1.016522 -v 0.215658 0.041707 1.013947 -v 0.215308 0.043962 1.012506 -v 0.214406 0.046449 1.013043 -v 0.213482 0.047711 1.015243 -v 0.234731 0.049733 1.021231 -v 0.234608 0.047421 1.022585 -v 0.234673 0.044826 1.021915 -v 0.234887 0.043466 1.019613 -v 0.235124 0.044139 1.017029 -v 0.235247 0.046451 1.015675 -v 0.235183 0.049046 1.016345 -v 0.234969 0.050406 1.018646 -v 0.254438 0.047342 1.021774 -v 0.254130 0.045057 1.023107 -v 0.253851 0.042498 1.022421 -v 0.253764 0.041165 1.020116 -v 0.253920 0.041838 1.017544 -v 0.254228 0.044124 1.016210 -v 0.254507 0.046682 1.016897 -v 0.254594 0.048015 1.019201 -v 0.275713 0.044918 1.022443 -v 0.275535 0.042638 1.023774 -v 0.275492 0.040079 1.023104 -v 0.275610 0.038739 1.020825 -v 0.275820 0.039403 1.018273 -v 0.275999 0.041683 1.016941 -v 0.276041 0.044243 1.017611 -v 0.275923 0.045583 1.019890 -v -0.003610 0.000812 1.010633 -v -0.002329 0.003181 1.011736 -v -0.001336 0.005686 1.010633 -v -0.001212 0.006857 1.007971 -v -0.002030 0.006010 1.005309 -v -0.003311 0.003640 1.004207 -v -0.004305 0.001136 1.005309 -v -0.004428 -0.000036 1.007971 -v -0.022687 0.009898 1.013575 -v -0.021401 0.012248 1.014669 -v -0.020393 0.014727 1.013570 -v -0.020254 0.015883 1.010922 -v -0.021065 0.015040 1.008276 -v -0.022351 0.012691 1.007182 -v -0.023359 0.010212 1.008281 -v -0.023498 0.009055 1.010929 -v -0.041701 0.018955 1.016508 -v -0.040441 0.021299 1.017598 -v -0.039468 0.023776 1.016510 -v -0.039353 0.024937 1.013881 -v -0.040162 0.024100 1.011252 -v -0.041422 0.021757 1.010162 -v -0.042395 0.019279 1.011250 -v -0.042511 0.018119 1.013878 -v -0.063091 0.028621 1.020039 -v -0.061895 0.030975 1.021132 -v -0.060999 0.033469 1.020062 -v -0.060928 0.034642 1.017457 -v -0.061724 0.033807 1.014843 -v -0.062921 0.031452 1.013750 -v -0.063817 0.028958 1.014820 -v -0.063888 0.027785 1.017425 -v -0.084019 0.037239 1.023539 -v -0.082888 0.039603 1.024635 -v -0.082071 0.042112 1.023584 -v -0.082045 0.043296 1.021003 -v -0.082826 0.042462 1.018403 -v -0.083957 0.040098 1.017307 -v -0.084775 0.037589 1.018358 -v -0.084801 0.036405 1.020939 -v -0.102809 0.044505 1.026856 -v -0.101664 0.046845 1.027941 -v -0.100872 0.049347 1.026901 -v -0.100897 0.050544 1.024345 -v -0.101723 0.049735 1.021770 -v -0.102868 0.047394 1.020685 -v -0.103660 0.044893 1.021726 -v -0.103636 0.043696 1.024282 -v -0.123650 0.053083 1.031324 -v -0.122330 0.055331 1.032360 -v -0.121471 0.057786 1.031309 -v -0.121576 0.059010 1.028788 -v -0.122583 0.058286 1.026272 -v -0.123903 0.056038 1.025236 -v -0.124763 0.053583 1.026286 -v -0.124658 0.052359 1.028808 -v -0.143454 0.063420 1.037688 -v -0.141960 0.065563 1.038661 -v -0.141034 0.067966 1.037595 -v -0.141218 0.069222 1.035114 -v -0.142405 0.068596 1.032671 -v -0.143899 0.066454 1.031697 -v -0.144825 0.064050 1.032763 -v -0.144641 0.062794 1.035244 -v -0.160657 0.073049 1.044101 -v -0.159382 0.075281 1.045133 -v -0.158578 0.077725 1.044110 -v -0.158715 0.078951 1.041630 -v -0.159713 0.078240 1.039146 -v -0.160988 0.076008 1.038114 -v -0.161793 0.073564 1.039137 -v -0.161656 0.072338 1.041617 -v -0.181850 0.080322 1.048045 -v -0.181192 0.082747 1.049168 -v -0.180628 0.085256 1.048189 -v -0.180489 0.086381 1.045681 -v -0.180857 0.085461 1.043113 -v -0.181515 0.083037 1.041990 -v -0.182079 0.080527 1.042969 -v -0.182218 0.079403 1.045477 -v -0.204608 0.083871 1.046447 -v -0.204581 0.086380 1.047535 -v -0.204253 0.088910 1.046551 -v -0.203817 0.089980 1.044073 -v -0.203527 0.088962 1.041552 -v -0.203554 0.086453 1.040464 -v -0.203882 0.083923 1.041448 -v -0.204318 0.082853 1.043926 -v -0.224738 0.083701 1.041971 -v -0.225094 0.086192 1.042996 -v -0.225156 0.088704 1.041963 -v -0.224888 0.089765 1.039477 -v -0.224447 0.088755 1.036994 -v -0.224091 0.086265 1.035968 -v -0.224029 0.083753 1.037001 -v -0.224297 0.082691 1.039488 -v -0.246662 0.080261 1.040452 -v -0.247179 0.082710 1.041464 -v -0.247794 0.085118 1.040412 -v -0.248146 0.086076 1.037913 -v -0.248030 0.085021 1.035431 -v -0.247513 0.082573 1.034420 -v -0.246898 0.080164 1.035472 -v -0.246546 0.079207 1.037971 -v -0.267312 0.073857 1.044118 -v -0.267995 0.076236 1.045148 -v -0.269141 0.078461 1.044185 -v -0.270078 0.079228 1.041793 -v -0.270258 0.078088 1.039373 -v -0.269575 0.075709 1.038342 -v -0.268430 0.073484 1.039305 -v -0.267492 0.072717 1.041697 -v -0.284665 0.065173 1.050331 -v -0.285443 0.067492 1.051385 -v -0.286805 0.069602 1.050498 -v -0.287954 0.070267 1.048188 -v -0.288216 0.069097 1.045809 -v -0.287438 0.066778 1.044755 -v -0.286076 0.064668 1.045642 -v -0.284927 0.064003 1.047952 -v -0.304791 0.055286 1.057360 -v -0.305496 0.057621 1.058386 -v -0.306695 0.059789 1.057455 -v -0.307687 0.060518 1.055112 -v -0.307890 0.059382 1.052731 -v -0.307186 0.057047 1.051705 -v -0.305986 0.054879 1.052637 -v -0.304994 0.054150 1.054979 -v -0.001962 0.002138 1.083963 -v -0.002670 0.004741 1.085057 -v -0.003767 0.007204 1.083963 -v -0.004613 0.008086 1.081321 -v -0.004710 0.006868 1.078678 -v -0.004003 0.004265 1.077584 -v -0.002905 0.001802 1.078678 -v -0.002060 0.000920 1.081321 -v -0.020928 -0.005734 1.088550 -v -0.021720 -0.003181 1.089658 -v -0.022968 -0.000793 1.088605 -v -0.023941 0.000032 1.086008 -v -0.024069 -0.001190 1.083389 -v -0.023277 -0.003742 1.082281 -v -0.022028 -0.006131 1.083334 -v -0.021056 -0.006955 1.085931 -v -0.040388 -0.013792 1.093245 -v -0.041050 -0.011208 1.094319 -v -0.042069 -0.008752 1.093225 -v -0.042850 -0.007862 1.090604 -v -0.042933 -0.009061 1.087992 -v -0.042272 -0.011645 1.086918 -v -0.041252 -0.014101 1.088012 -v -0.040472 -0.014990 1.090632 -v -0.063660 -0.019710 1.096251 -v -0.064037 -0.017073 1.097287 -v -0.064499 -0.014498 1.096138 -v -0.064776 -0.013492 1.093477 -v -0.064705 -0.014645 1.090863 -v -0.064329 -0.017282 1.089828 -v -0.063867 -0.019858 1.090976 -v -0.063590 -0.020863 1.093637 -v -0.087006 -0.021290 1.095307 -v -0.087092 -0.018647 1.096344 -v -0.086977 -0.016043 1.095216 -v -0.086728 -0.015002 1.092585 -v -0.086492 -0.016136 1.089991 -v -0.086406 -0.018779 1.088954 -v -0.086521 -0.021383 1.090082 -v -0.086770 -0.022423 1.092713 -v -0.107455 -0.019710 1.092314 -v -0.107325 -0.017094 1.093364 -v -0.107003 -0.014515 1.092263 -v -0.106678 -0.013485 1.089655 -v -0.106540 -0.014606 1.087069 -v -0.106670 -0.017223 1.086018 -v -0.106992 -0.019802 1.087120 -v -0.107317 -0.020832 1.089728 -v -0.129810 -0.017566 1.091486 -v -0.129464 -0.014986 1.092532 -v -0.129270 -0.012411 1.091436 -v -0.129341 -0.011350 1.088841 -v -0.129635 -0.012423 1.086266 -v -0.129980 -0.015003 1.085221 -v -0.130175 -0.017578 1.086316 -v -0.130104 -0.018639 1.088912 -v -0.151753 -0.015011 1.095393 -v -0.151184 -0.012474 1.096398 -v -0.151101 -0.009902 1.095326 -v -0.151553 -0.008802 1.092805 -v -0.152276 -0.009818 1.090312 -v -0.152845 -0.012355 1.089307 -v -0.152927 -0.014927 1.090379 -v -0.152475 -0.016027 1.092900 -v -0.171192 -0.012150 1.101140 -v -0.170742 -0.009617 1.102165 -v -0.170747 -0.007052 1.101120 -v -0.171204 -0.005958 1.098617 -v -0.171845 -0.006976 1.096122 -v -0.172294 -0.009510 1.095097 -v -0.172289 -0.012075 1.096142 -v -0.171832 -0.013168 1.098646 -v -0.193613 -0.011415 1.104451 -v -0.193782 -0.008895 1.105543 -v -0.193995 -0.006345 1.104529 -v -0.194128 -0.005260 1.102004 -v -0.194102 -0.006275 1.099446 -v -0.193934 -0.008796 1.098354 -v -0.193721 -0.011345 1.099368 -v -0.193588 -0.012430 1.101893 -v -0.215971 -0.015521 1.101986 -v -0.216750 -0.013113 1.103023 -v -0.217175 -0.010614 1.101998 -v -0.216996 -0.009486 1.099514 -v -0.216319 -0.010391 1.097024 -v -0.215540 -0.012799 1.095988 -v -0.215115 -0.015298 1.097012 -v -0.215294 -0.016426 1.099497 -v -0.235492 -0.021517 1.096896 -v -0.236142 -0.019098 1.097948 -v -0.236443 -0.016588 1.096952 -v -0.236221 -0.015458 1.094492 -v -0.235604 -0.016370 1.092008 -v -0.234955 -0.018789 1.090956 -v -0.234653 -0.021299 1.091952 -v -0.234876 -0.022429 1.094412 -v -0.257929 -0.023309 1.094613 -v -0.257733 -0.020858 1.095725 -v -0.257562 -0.018338 1.094774 -v -0.257517 -0.017226 1.092315 -v -0.257624 -0.018172 1.089789 -v -0.257820 -0.020623 1.088677 -v -0.257991 -0.023143 1.089628 -v -0.258036 -0.024256 1.092087 -v -0.279808 -0.018228 1.097523 -v -0.278798 -0.015961 1.098538 -v -0.278170 -0.013552 1.097542 -v -0.278292 -0.012412 1.095117 -v -0.279093 -0.013209 1.092686 -v -0.280103 -0.015476 1.091671 -v -0.280731 -0.017885 1.092667 -v -0.280609 -0.019025 1.095091 -v -0.297831 -0.009560 1.102989 -v -0.296537 -0.007427 1.103923 -v -0.295744 -0.005103 1.102890 -v -0.295917 -0.003950 1.100495 -v -0.296954 -0.004643 1.098141 -v -0.298248 -0.006775 1.097207 -v -0.299041 -0.009099 1.098240 -v -0.298868 -0.010252 1.100635 -v -0.317990 -0.000070 1.108965 -v -0.316903 0.002133 1.109946 -v -0.316230 0.004491 1.108951 -v -0.316366 0.005622 1.106562 -v -0.317232 0.004863 1.104180 -v -0.318320 0.002659 1.103199 -v -0.318993 0.000302 1.104194 -v -0.318856 -0.000829 1.106583 -v -0.004254 0.007234 1.169425 -v -0.003866 0.004562 1.170515 -v -0.003033 0.001995 1.169425 -v -0.002241 0.001036 1.166793 -v -0.001956 0.002246 1.164162 -v -0.002343 0.004917 1.163071 -v -0.003177 0.007485 1.164162 -v -0.003968 0.008444 1.166793 -v 0.010781 0.010709 1.172854 -v 0.011151 0.008051 1.173935 -v 0.011991 0.005502 1.172854 -v 0.012809 0.004556 1.170245 -v 0.013126 0.005767 1.167636 -v 0.012756 0.008425 1.166556 -v 0.011916 0.010974 1.167637 -v 0.011098 0.011920 1.170246 -v 0.025888 0.014202 1.176300 -v 0.026277 0.011565 1.177378 -v 0.027096 0.009028 1.176300 -v 0.027865 0.008077 1.173697 -v 0.028135 0.009270 1.171095 -v 0.027746 0.011907 1.170017 -v 0.026927 0.014444 1.171094 -v 0.026157 0.015395 1.173697 -v 0.042888 0.018174 1.179538 -v 0.043460 0.015600 1.180643 -v 0.044324 0.013092 1.179581 -v 0.044975 0.012118 1.176974 -v 0.045031 0.013248 1.174350 -v 0.044459 0.015822 1.173245 -v 0.043594 0.018330 1.174308 -v 0.042943 0.019304 1.176914 -v 0.059486 0.023698 1.181096 -v 0.060254 0.021203 1.182215 -v 0.061174 0.018729 1.181166 -v 0.061706 0.017725 1.178563 -v 0.061539 0.018779 1.175931 -v 0.060771 0.021274 1.174811 -v 0.059852 0.023748 1.175861 -v 0.059319 0.024752 1.178464 -v 0.074511 0.028885 1.181861 -v 0.074875 0.026299 1.182934 -v 0.075501 0.023764 1.181862 -v 0.076022 0.022764 1.179274 -v 0.076133 0.023886 1.176686 -v 0.075769 0.026471 1.175614 -v 0.075144 0.029006 1.176686 -v 0.074622 0.030006 1.179273 -v 0.091267 0.029609 1.185189 -v 0.090611 0.027017 1.186038 -v 0.090580 0.024484 1.184835 -v 0.091193 0.023492 1.182283 -v 0.092090 0.024623 1.179878 -v 0.092746 0.027215 1.179029 -v 0.092776 0.029748 1.180232 -v 0.092164 0.030740 1.182784 -v 0.106202 0.023949 1.191339 -v 0.104636 0.021693 1.191821 -v 0.104018 0.019382 1.190392 -v 0.104708 0.018368 1.187889 -v 0.106303 0.019245 1.185779 -v 0.107869 0.021501 1.185297 -v 0.108487 0.023813 1.186726 -v 0.107797 0.024826 1.189229 -v 0.117080 0.014745 1.198264 -v 0.115208 0.012725 1.198562 -v 0.114392 0.010570 1.197027 -v 0.115109 0.009540 1.194558 -v 0.116940 0.010240 1.192601 -v 0.118812 0.012260 1.192303 -v 0.119629 0.014415 1.193838 -v 0.118911 0.015445 1.196308 -v 0.129295 0.004720 1.206021 -v 0.127564 0.002613 1.206392 -v 0.126782 0.000449 1.204883 -v 0.127407 -0.000506 1.202379 -v 0.129074 0.000308 1.200346 -v 0.130806 0.002415 1.199976 -v 0.131588 0.004580 1.201484 -v 0.130962 0.005534 1.203988 -v 0.143165 -0.004303 1.212000 -v 0.141571 -0.006483 1.212428 -v 0.140810 -0.008645 1.210937 -v 0.141328 -0.009523 1.208400 -v 0.142821 -0.008602 1.206302 -v 0.144416 -0.006422 1.205874 -v 0.145177 -0.004260 1.207365 -v 0.144659 -0.003383 1.209903 -v 0.155184 -0.012076 1.217040 -v 0.153554 -0.014212 1.217441 -v 0.152986 -0.016481 1.216060 -v 0.153813 -0.017554 1.213704 -v 0.155549 -0.016802 1.211755 -v 0.157179 -0.014666 1.211354 -v 0.157747 -0.012397 1.212735 -v 0.156920 -0.011324 1.215090 -v 0.165730 -0.018816 1.226504 -v 0.164015 -0.020877 1.226812 -v 0.163819 -0.023367 1.225788 -v 0.165257 -0.024826 1.224031 -v 0.167488 -0.024401 1.222571 -v 0.169203 -0.022340 1.222263 -v 0.169398 -0.019850 1.223288 -v 0.167960 -0.018390 1.225044 -v 0.172376 -0.022960 1.240099 -v 0.170608 -0.024968 1.240282 -v 0.170659 -0.027593 1.239739 -v 0.172498 -0.029298 1.238789 -v 0.175048 -0.029084 1.237989 -v 0.176816 -0.027076 1.237807 -v 0.176765 -0.024450 1.238349 -v 0.174926 -0.022745 1.239299 -v 0.175173 -0.024567 1.254947 -v 0.173402 -0.026553 1.255071 -v 0.173510 -0.029196 1.254755 -v 0.175435 -0.030948 1.254185 -v 0.178048 -0.030782 1.253694 -v 0.179819 -0.028796 1.253571 -v 0.179711 -0.026153 1.253887 -v 0.177786 -0.024401 1.254457 -v 0.178661 -0.026586 1.272291 -v 0.176911 -0.028565 1.272453 -v 0.176982 -0.031169 1.271986 -v 0.178832 -0.032873 1.271165 -v 0.181378 -0.032679 1.270469 -v 0.183128 -0.030700 1.270307 -v 0.183057 -0.028096 1.270773 -v 0.181206 -0.026392 1.271595 -v -0.004606 0.002909 1.247968 -v -0.001908 0.003087 1.249045 -v 0.000693 0.003826 1.247968 -v 0.001674 0.004692 1.245368 -v 0.000459 0.005179 1.242768 -v -0.002239 0.005001 1.241691 -v -0.004841 0.004262 1.242768 -v -0.005821 0.003395 1.245368 -v -0.008010 0.024001 1.253887 -v -0.005322 0.024139 1.254947 -v -0.002734 0.024860 1.253873 -v -0.001763 0.025744 1.251295 -v -0.002978 0.026271 1.248722 -v -0.005666 0.026133 1.247663 -v -0.008254 0.025411 1.248737 -v -0.009225 0.024528 1.251315 -v -0.011417 0.045109 1.259811 -v -0.008754 0.045300 1.260879 -v -0.006185 0.046035 1.259816 -v -0.005215 0.046883 1.257245 -v -0.006412 0.047346 1.254672 -v -0.009075 0.047155 1.253604 -v -0.011644 0.046420 1.254667 -v -0.012614 0.045572 1.257238 -v -0.015960 0.068797 1.265574 -v -0.013347 0.069155 1.266675 -v -0.010806 0.069945 1.265633 -v -0.009825 0.070704 1.263058 -v -0.010979 0.070987 1.260459 -v -0.013592 0.070629 1.259358 -v -0.016133 0.069840 1.260400 -v -0.017114 0.069081 1.262975 -v -0.021837 0.091679 1.269540 -v -0.019284 0.092208 1.270665 -v -0.016774 0.093055 1.269641 -v -0.015778 0.093724 1.267067 -v -0.016879 0.093823 1.264450 -v -0.019432 0.093294 1.263325 -v -0.021942 0.092447 1.264349 -v -0.022939 0.091778 1.266924 -v -0.027768 0.112056 1.272234 -v -0.025214 0.112518 1.273342 -v -0.022709 0.113320 1.272318 -v -0.021720 0.113992 1.269760 -v -0.022828 0.114140 1.267168 -v -0.025382 0.113677 1.266060 -v -0.027887 0.112875 1.267084 -v -0.028875 0.112204 1.269642 -v -0.032655 0.134999 1.276731 -v -0.030045 0.135096 1.277754 -v -0.027524 0.135731 1.276701 -v -0.026569 0.136532 1.274189 -v -0.027738 0.137031 1.271688 -v -0.030348 0.136934 1.270665 -v -0.032869 0.136299 1.271718 -v -0.033825 0.135498 1.274230 -v -0.034170 0.157722 1.284322 -v -0.031546 0.157457 1.285224 -v -0.029027 0.157927 1.284127 -v -0.028089 0.158858 1.281673 -v -0.029281 0.159704 1.279300 -v -0.031905 0.159970 1.278397 -v -0.034423 0.159499 1.279494 -v -0.035362 0.158568 1.281948 -v -0.033828 0.177780 1.292418 -v -0.031224 0.177599 1.293343 -v -0.028722 0.178075 1.292256 -v -0.027787 0.178928 1.289793 -v -0.028967 0.179659 1.287396 -v -0.031571 0.179840 1.286470 -v -0.034073 0.179364 1.287557 -v -0.035008 0.178511 1.290021 -v -0.036300 0.200643 1.298233 -v -0.033815 0.201141 1.299308 -v -0.031373 0.201901 1.298293 -v -0.030403 0.202479 1.295784 -v -0.031473 0.202537 1.293249 -v -0.033957 0.202040 1.292174 -v -0.036400 0.201279 1.293188 -v -0.037370 0.200701 1.295698 -v -0.045563 0.223214 1.298259 -v -0.043336 0.224367 1.299348 -v -0.041013 0.225410 1.298349 -v -0.039957 0.225731 1.295848 -v -0.040785 0.225143 1.293309 -v -0.043012 0.223990 1.292220 -v -0.045335 0.222947 1.293219 -v -0.046391 0.222626 1.295720 -v -0.056540 0.243077 1.295156 -v -0.054210 0.243936 1.296258 -v -0.051788 0.244692 1.295285 -v -0.050694 0.244902 1.292807 -v -0.051568 0.244444 1.290276 -v -0.053898 0.243585 1.289174 -v -0.056320 0.242829 1.290147 -v -0.057414 0.242619 1.292625 -v -0.059954 0.266469 1.295540 -v -0.057500 0.266053 1.296585 -v -0.054998 0.265914 1.295584 -v -0.053912 0.266133 1.293123 -v -0.054879 0.266582 1.290643 -v -0.057332 0.266998 1.289598 -v -0.059835 0.267137 1.290599 -v -0.060921 0.266918 1.293060 -v -0.051508 0.287916 1.301320 -v -0.049479 0.286334 1.302074 -v -0.047280 0.285370 1.300878 -v -0.046201 0.285590 1.298433 -v -0.046873 0.286863 1.296171 -v -0.048902 0.288445 1.295417 -v -0.051101 0.289409 1.296613 -v -0.052180 0.289189 1.299058 -v -0.036767 0.303113 1.309021 -v -0.035044 0.301169 1.309609 -v -0.033074 0.299939 1.308304 -v -0.032011 0.300146 1.305870 -v -0.032477 0.301667 1.303733 -v -0.034200 0.303611 1.303146 -v -0.036171 0.304841 1.304451 -v -0.037234 0.304634 1.306884 -v -0.020816 0.319992 1.317404 -v -0.018902 0.318301 1.318097 -v -0.016798 0.317255 1.316880 -v -0.015735 0.317468 1.314466 -v -0.016337 0.318814 1.312269 -v -0.018251 0.320504 1.311575 -v -0.020356 0.321550 1.312792 -v -0.021418 0.321337 1.315206 -v -0.001832 0.000791 1.332183 -v -0.000352 0.003057 1.333254 -v 0.000580 0.005598 1.332183 -v 0.000418 0.006926 1.329597 -v -0.000743 0.006262 1.327012 -v -0.002223 0.003996 1.325941 -v -0.003155 0.001455 1.327012 -v -0.002993 0.000128 1.329597 -v -0.020410 0.008712 1.338907 -v -0.019034 0.011008 1.340004 -v -0.018286 0.013617 1.339001 -v -0.018605 0.015010 1.336485 -v -0.019803 0.014371 1.333930 -v -0.021179 0.012074 1.332833 -v -0.021927 0.009465 1.333836 -v -0.021608 0.008073 1.336352 -v -0.039561 0.016904 1.345824 -v -0.038060 0.019122 1.346870 -v -0.037065 0.021594 1.345789 -v -0.037161 0.022872 1.343215 -v -0.038290 0.022208 1.340655 -v -0.039791 0.019989 1.339610 -v -0.040785 0.017517 1.340690 -v -0.040690 0.016239 1.343265 -v -0.059662 0.029982 1.350590 -v -0.057919 0.032021 1.351574 -v -0.056406 0.034134 1.350384 -v -0.056011 0.035082 1.347717 -v -0.056964 0.034310 1.345136 -v -0.058708 0.032271 1.344152 -v -0.060220 0.030158 1.345342 -v -0.060616 0.029210 1.348009 -v -0.076889 0.046383 1.350809 -v -0.074937 0.048204 1.351780 -v -0.072970 0.049866 1.350583 -v -0.072139 0.050395 1.347919 -v -0.072931 0.049483 1.345349 -v -0.074883 0.047662 1.344378 -v -0.076851 0.046000 1.345575 -v -0.077682 0.045470 1.348239 -v -0.089590 0.063214 1.348103 -v -0.087456 0.064774 1.349095 -v -0.085248 0.066100 1.347940 -v -0.084259 0.066416 1.345315 -v -0.085069 0.065537 1.342758 -v -0.087202 0.063978 1.341766 -v -0.089410 0.062651 1.342921 -v -0.090399 0.062335 1.345546 -v -0.101414 0.083272 1.345990 -v -0.099060 0.084409 1.347007 -v -0.096729 0.085486 1.345877 -v -0.095787 0.085872 1.343264 -v -0.096785 0.085340 1.340697 -v -0.099139 0.084203 1.339680 -v -0.101470 0.083126 1.340810 -v -0.102412 0.082741 1.343423 -v -0.109440 0.105257 1.347103 -v -0.106926 0.105930 1.348102 -v -0.104505 0.106725 1.346973 -v -0.103595 0.107177 1.344377 -v -0.104729 0.107021 1.341836 -v -0.107243 0.106348 1.340837 -v -0.109664 0.105553 1.341966 -v -0.110574 0.105101 1.344562 -v -0.114119 0.125848 1.348914 -v -0.111694 0.126739 1.349914 -v -0.109318 0.127618 1.348795 -v -0.108382 0.127972 1.346213 -v -0.109435 0.127593 1.343679 -v -0.111859 0.126703 1.342679 -v -0.114235 0.125823 1.343797 -v -0.115171 0.125469 1.346380 -v -0.124323 0.145408 1.347139 -v -0.122447 0.147215 1.348025 -v -0.120394 0.148623 1.346852 -v -0.119367 0.148807 1.344305 -v -0.119967 0.147659 1.341877 -v -0.121843 0.145851 1.340990 -v -0.123896 0.144443 1.342164 -v -0.124923 0.144259 1.344711 -v -0.141121 0.158114 1.340304 -v -0.140041 0.160561 1.340875 -v -0.138454 0.162335 1.339530 -v -0.137291 0.162399 1.337056 -v -0.137232 0.160714 1.334903 -v -0.138312 0.158268 1.334332 -v -0.139898 0.156493 1.335677 -v -0.141062 0.156429 1.338151 -v -0.159236 0.164690 1.331190 -v -0.158299 0.167190 1.331692 -v -0.156776 0.168981 1.330330 -v -0.155558 0.169012 1.327901 -v -0.155359 0.167266 1.325829 -v -0.156295 0.164766 1.325327 -v -0.157819 0.162976 1.326689 -v -0.159037 0.162944 1.329117 -v -0.177778 0.175730 1.322108 -v -0.176329 0.177881 1.322856 -v -0.174475 0.179441 1.321667 -v -0.173301 0.179495 1.319237 -v -0.173494 0.178012 1.316990 -v -0.174943 0.175861 1.316242 -v -0.176797 0.174301 1.317431 -v -0.177972 0.174247 1.319861 -v -0.192441 0.192392 1.315708 -v -0.190574 0.194075 1.316643 -v -0.188448 0.195323 1.315588 -v -0.187310 0.195407 1.313161 -v -0.187825 0.194276 1.310785 -v -0.189692 0.192594 1.309851 -v -0.191818 0.191345 1.310906 -v -0.192957 0.191262 1.313332 -v -0.203154 0.209575 1.311308 -v -0.201178 0.211069 1.312287 -v -0.198983 0.212188 1.311273 -v -0.197855 0.212276 1.308861 -v -0.198455 0.211282 1.306464 -v -0.200432 0.209788 1.305485 -v -0.202626 0.208669 1.306499 -v -0.203754 0.208581 1.308910 -v -0.215189 0.228620 1.306353 -v -0.213309 0.230229 1.307291 -v -0.211185 0.231426 1.306260 -v -0.210063 0.231510 1.303866 -v -0.210599 0.230432 1.301509 -v -0.212479 0.228823 1.300571 -v -0.214602 0.227626 1.301601 -v -0.215725 0.227542 1.303996 -v -0.002463 0.007512 1.434275 -v -0.003335 0.004942 1.435328 -v -0.003491 0.002233 1.434275 -v -0.002840 0.000971 1.431734 -v -0.001764 0.001897 1.429192 -v -0.000893 0.004467 1.428140 -v -0.000737 0.007176 1.429192 -v -0.001387 0.008438 1.431734 -v 0.014744 0.003842 1.440439 -v 0.013833 0.001297 1.441470 -v 0.013643 -0.001389 1.440411 -v 0.014285 -0.002642 1.437883 -v 0.015383 -0.001728 1.435367 -v 0.016293 0.000818 1.434337 -v 0.016483 0.003504 1.435395 -v 0.015841 0.004756 1.437923 -v 0.031883 0.000186 1.446579 -v 0.031040 -0.002357 1.447625 -v 0.030900 -0.005036 1.446590 -v 0.031544 -0.006282 1.444080 -v 0.032596 -0.005366 1.441566 -v 0.033439 -0.002824 1.440520 -v 0.033580 -0.000144 1.441555 -v 0.032935 0.001102 1.444065 -v 0.051285 -0.003000 1.453179 -v 0.050617 -0.005554 1.454274 -v 0.050579 -0.008232 1.453279 -v 0.051193 -0.009467 1.450776 -v 0.052101 -0.008535 1.448231 -v 0.052769 -0.005981 1.447136 -v 0.052807 -0.003302 1.448131 -v 0.052193 -0.002068 1.450634 -v 0.070534 -0.004860 1.458521 -v 0.070046 -0.007416 1.459661 -v 0.070111 -0.010088 1.458701 -v 0.070691 -0.011312 1.456204 -v 0.071446 -0.010371 1.453633 -v 0.071934 -0.007815 1.452494 -v 0.071869 -0.005143 1.453453 -v 0.071289 -0.003919 1.455950 -v 0.087746 -0.005697 1.462912 -v 0.087254 -0.008236 1.464042 -v 0.087406 -0.010898 1.463115 -v 0.088115 -0.012122 1.460672 -v 0.088964 -0.011193 1.458146 -v 0.089457 -0.008654 1.457015 -v 0.089304 -0.005992 1.457943 -v 0.088595 -0.004768 1.460386 -v 0.106162 -0.006785 1.469865 -v 0.105355 -0.009282 1.470855 -v 0.105541 -0.011930 1.469948 -v 0.106612 -0.013177 1.467674 -v 0.107939 -0.012292 1.465367 -v 0.108746 -0.009795 1.464377 -v 0.108560 -0.007147 1.465285 -v 0.107490 -0.005901 1.467558 -v 0.122639 -0.009679 1.481555 -v 0.121544 -0.012117 1.482345 -v 0.121756 -0.014752 1.481461 -v 0.123151 -0.016040 1.479420 -v 0.124911 -0.015227 1.477418 -v 0.126007 -0.012789 1.476628 -v 0.125795 -0.010154 1.477512 -v 0.124400 -0.008866 1.479553 -v 0.136471 -0.012533 1.494061 -v 0.135698 -0.014993 1.495071 -v 0.136045 -0.017628 1.494290 -v 0.137309 -0.018893 1.492175 -v 0.138749 -0.018048 1.489965 -v 0.139522 -0.015588 1.488955 -v 0.139174 -0.012953 1.489736 -v 0.137911 -0.011688 1.491851 -v 0.154523 -0.011389 1.501471 -v 0.154872 -0.013730 1.502875 -v 0.155527 -0.016319 1.502209 -v 0.156102 -0.017639 1.499864 -v 0.156262 -0.016917 1.497213 -v 0.155912 -0.014577 1.495809 -v 0.155258 -0.011987 1.496475 -v 0.154682 -0.010667 1.498820 -v 0.172535 -0.004581 1.498392 -v 0.173996 -0.006515 1.499658 -v 0.174961 -0.008976 1.498960 -v 0.174865 -0.010523 1.496708 -v 0.173764 -0.010250 1.494220 -v 0.172304 -0.008316 1.492953 -v 0.171339 -0.005854 1.493651 -v 0.171435 -0.004307 1.495904 -v 0.186583 0.004603 1.489130 -v 0.188224 0.002782 1.490301 -v 0.189212 0.000352 1.489594 -v 0.188969 -0.001263 1.487424 -v 0.187637 -0.001118 1.485061 -v 0.185996 0.000703 1.483889 -v 0.185008 0.003133 1.484596 -v 0.185251 0.004749 1.486766 -v 0.203876 0.012848 1.481920 -v 0.204911 0.010773 1.483301 -v 0.205653 0.008252 1.482687 -v 0.205666 0.006760 1.480438 -v 0.204942 0.007173 1.477870 -v 0.203906 0.009248 1.476489 -v 0.203165 0.011769 1.477103 -v 0.203152 0.013261 1.479352 -v 0.223230 0.017414 1.480745 -v 0.223605 0.015182 1.482184 -v 0.224075 0.012607 1.481600 -v 0.224364 0.011198 1.479338 -v 0.224303 0.011779 1.476721 -v 0.223928 0.014011 1.475283 -v 0.223458 0.016586 1.475866 -v 0.223169 0.017995 1.478129 -v 0.241084 0.019564 1.482370 -v 0.241236 0.017314 1.483787 -v 0.241607 0.014741 1.483202 -v 0.241978 0.013354 1.480959 -v 0.242132 0.013964 1.478370 -v 0.241979 0.016215 1.476953 -v 0.241609 0.018787 1.477538 -v 0.241238 0.020175 1.479781 -v 0.261100 0.022066 1.484077 -v 0.261404 0.019852 1.485494 -v 0.261839 0.017306 1.484918 -v 0.262149 0.015919 1.482685 -v 0.262154 0.016504 1.480105 -v 0.261849 0.018718 1.478687 -v 0.261414 0.021264 1.479264 -v 0.261104 0.022650 1.481496 -v -0.007300 0.008027 1.527460 -v -0.005040 0.006525 1.528515 -v -0.002465 0.005670 1.527460 -v -0.001084 0.005962 1.524915 -v -0.001705 0.007230 1.522370 -v -0.003964 0.008732 1.521315 -v -0.006539 0.009587 1.522370 -v -0.007921 0.009295 1.524915 -v -0.001317 0.023410 1.533945 -v 0.000987 0.022050 1.535046 -v 0.003643 0.021422 1.534087 -v 0.005096 0.021894 1.531630 -v 0.004494 0.023190 1.529114 -v 0.002190 0.024550 1.528013 -v -0.000466 0.025178 1.528972 -v -0.001919 0.024706 1.531429 -v 0.004977 0.039485 1.540703 -v 0.007181 0.037946 1.541724 -v 0.009677 0.037007 1.540648 -v 0.011003 0.037219 1.538105 -v 0.010382 0.038457 1.535585 -v 0.008178 0.039996 1.534564 -v 0.005682 0.040935 1.535640 -v 0.004356 0.040723 1.538183 -v 0.016348 0.056003 1.545525 -v 0.018252 0.054073 1.546428 -v 0.020245 0.052457 1.545169 -v 0.021158 0.052101 1.542484 -v 0.020457 0.053214 1.539947 -v 0.018552 0.055144 1.539044 -v 0.016560 0.056761 1.540303 -v 0.015647 0.057116 1.542988 -v 0.031835 0.068559 1.546043 -v 0.033338 0.066315 1.546920 -v 0.034652 0.064150 1.545634 -v 0.035006 0.063334 1.542937 -v 0.034194 0.064343 1.540409 -v 0.032691 0.066587 1.539532 -v 0.031377 0.068752 1.540818 -v 0.031022 0.069569 1.543515 -v 0.047632 0.076466 1.543690 -v 0.048923 0.074120 1.544582 -v 0.049920 0.071793 1.543334 -v 0.050039 0.070848 1.540677 -v 0.049211 0.071839 1.538167 -v 0.047920 0.074185 1.537275 -v 0.046923 0.076512 1.538523 -v 0.046803 0.077457 1.541180 -v 0.064746 0.085003 1.541674 -v 0.065910 0.082614 1.542569 -v 0.066969 0.080335 1.541324 -v 0.067301 0.079500 1.538666 -v 0.066713 0.080600 1.536154 -v 0.065549 0.082990 1.535258 -v 0.064490 0.085269 1.536504 -v 0.064158 0.086103 1.539161 -v 0.082643 0.093160 1.542822 -v 0.083657 0.090719 1.543708 -v 0.084757 0.088476 1.542472 -v 0.085299 0.087745 1.539837 -v 0.084965 0.088953 1.537348 -v 0.083951 0.091394 1.536462 -v 0.082851 0.093637 1.537698 -v 0.082309 0.094368 1.540333 -v 0.098974 0.100228 1.544424 -v 0.100406 0.098030 1.545311 -v 0.101680 0.095898 1.544086 -v 0.102051 0.095082 1.541465 -v 0.101301 0.096059 1.538985 -v 0.099869 0.098258 1.538097 -v 0.098594 0.100389 1.539323 -v 0.098224 0.101206 1.541944 -v 0.112627 0.112082 1.541081 -v 0.114948 0.110740 1.541701 -v 0.116585 0.108969 1.540375 -v 0.116579 0.107807 1.537880 -v 0.114933 0.107934 1.535678 -v 0.112612 0.109277 1.535059 -v 0.110975 0.111048 1.536384 -v 0.110981 0.112210 1.538879 -v 0.117853 0.126990 1.531873 -v 0.120569 0.126673 1.531883 -v 0.122366 0.125336 1.530314 -v 0.122191 0.123762 1.528085 -v 0.120146 0.122872 1.526502 -v 0.117430 0.123189 1.526492 -v 0.115634 0.124526 1.528061 -v 0.115809 0.126101 1.530290 -v 0.116120 0.140941 1.520387 -v 0.118830 0.140868 1.520213 -v 0.120619 0.139608 1.518602 -v 0.120438 0.137899 1.516497 -v 0.118393 0.136743 1.515132 -v 0.115683 0.136816 1.515306 -v 0.113894 0.138076 1.516917 -v 0.114076 0.139784 1.519022 -v 0.117272 0.156362 1.508052 -v 0.119905 0.155803 1.508260 -v 0.121648 0.154281 1.506871 -v 0.121481 0.152687 1.504699 -v 0.119501 0.151956 1.503016 -v 0.116869 0.152515 1.502809 -v 0.115126 0.154037 1.504197 -v 0.115293 0.155631 1.506369 -v 0.124204 0.170925 1.497684 -v 0.126622 0.169903 1.498230 -v 0.128243 0.168128 1.497041 -v 0.128118 0.166641 1.494814 -v 0.126319 0.166312 1.492852 -v 0.123901 0.167335 1.492305 -v 0.122280 0.169109 1.493494 -v 0.122406 0.170597 1.495722 -v 0.132728 0.183193 1.489192 -v 0.135042 0.182039 1.489831 -v 0.136599 0.180191 1.488709 -v 0.136486 0.178732 1.486483 -v 0.134770 0.178516 1.484457 -v 0.132455 0.179670 1.483818 -v 0.130898 0.181518 1.484940 -v 0.131011 0.182977 1.487166 -v 0.142144 0.196920 1.479681 -v 0.144505 0.195870 1.480250 -v 0.146090 0.194093 1.479094 -v 0.145969 0.192631 1.476892 -v 0.144214 0.192340 1.474933 -v 0.141853 0.193390 1.474365 -v 0.140268 0.195167 1.475520 -v 0.140389 0.196629 1.477723 -v -0.004477 0.009940 1.627251 -v -0.006603 0.011640 1.628283 -v -0.009145 0.012611 1.627251 -v -0.010616 0.012284 1.624761 -v -0.010153 0.010850 1.622270 -v -0.008028 0.009150 1.621239 -v -0.005485 0.008179 1.622270 -v -0.004014 0.008506 1.624761 -v -0.017161 -0.008011 1.635570 -v -0.019167 -0.006155 1.636518 -v -0.021563 -0.004983 1.635396 -v -0.022945 -0.005183 1.632862 -v -0.022504 -0.006637 1.630400 -v -0.020497 -0.008494 1.629453 -v -0.018102 -0.009666 1.630575 -v -0.016720 -0.009466 1.633108 -v -0.029489 -0.025389 1.643621 -v -0.031629 -0.023783 1.644675 -v -0.034191 -0.022916 1.643699 -v -0.035674 -0.023295 1.641265 -v -0.035210 -0.024698 1.638798 -v -0.033070 -0.026304 1.637745 -v -0.030508 -0.027172 1.638721 -v -0.029025 -0.026793 1.641155 -v -0.036796 -0.046050 1.653491 -v -0.039131 -0.045112 1.654847 -v -0.041922 -0.045025 1.654239 -v -0.043535 -0.045840 1.652025 -v -0.043024 -0.047079 1.649501 -v -0.040689 -0.048017 1.648145 -v -0.037898 -0.048104 1.648753 -v -0.036285 -0.047289 1.650967 -v -0.035203 -0.067126 1.662977 -v -0.037491 -0.066892 1.664645 -v -0.040226 -0.067621 1.664416 -v -0.041807 -0.068887 1.662424 -v -0.041308 -0.069947 1.659837 -v -0.039020 -0.070181 1.658170 -v -0.036285 -0.069452 1.658399 -v -0.034704 -0.068186 1.660390 -v -0.027815 -0.085966 1.671565 -v -0.030046 -0.085874 1.673290 -v -0.032681 -0.086884 1.673202 -v -0.034175 -0.088404 1.671351 -v -0.033653 -0.089544 1.668822 -v -0.031421 -0.089636 1.667096 -v -0.028787 -0.088626 1.667185 -v -0.027293 -0.087107 1.669036 -v -0.020873 -0.106537 1.683852 -v -0.023203 -0.106083 1.685347 -v -0.025881 -0.106894 1.685142 -v -0.027337 -0.108494 1.683357 -v -0.026720 -0.109946 1.681038 -v -0.024391 -0.110400 1.679543 -v -0.021713 -0.109590 1.679749 -v -0.020256 -0.107989 1.681533 -v -0.017924 -0.125620 1.698968 -v -0.020303 -0.124837 1.700193 -v -0.022996 -0.125472 1.699856 -v -0.024426 -0.127153 1.698154 -v -0.023756 -0.128896 1.696085 -v -0.021377 -0.129680 1.694860 -v -0.018684 -0.129045 1.695198 -v -0.017254 -0.127363 1.696899 -v -0.016512 -0.141189 1.714229 -v -0.018885 -0.140328 1.715369 -v -0.021561 -0.140957 1.715032 -v -0.022973 -0.142706 1.713413 -v -0.022294 -0.144551 1.711463 -v -0.019921 -0.145411 1.710322 -v -0.017245 -0.144783 1.710660 -v -0.015833 -0.143034 1.712278 -v -0.014296 -0.158540 1.731345 -v -0.016638 -0.157791 1.732581 -v -0.019282 -0.158513 1.732341 -v -0.020681 -0.160284 1.730764 -v -0.020013 -0.162065 1.728776 -v -0.017671 -0.162814 1.727539 -v -0.015027 -0.162091 1.727780 -v -0.013628 -0.160321 1.729356 -v -0.010042 -0.176189 1.747722 -v -0.012345 -0.175551 1.749051 -v -0.014950 -0.176370 1.748908 -v -0.016331 -0.178165 1.747376 -v -0.015679 -0.179886 1.745353 -v -0.013376 -0.180523 1.744024 -v -0.010771 -0.179705 1.744168 -v -0.009390 -0.177909 1.745699 -v -0.005610 -0.191898 1.762493 -v -0.007917 -0.191180 1.763734 -v -0.010523 -0.191919 1.763521 -v -0.011900 -0.193681 1.761979 -v -0.011242 -0.195434 1.760010 -v -0.008935 -0.196152 1.758769 -v -0.006329 -0.195413 1.758982 -v -0.004952 -0.193651 1.760525 -v -0.003403 -0.209560 1.779732 -v -0.005722 -0.208609 1.780732 -v -0.008338 -0.209105 1.780287 -v -0.009717 -0.210758 1.778659 -v -0.009052 -0.212599 1.776801 -v -0.006733 -0.213550 1.775801 -v -0.004117 -0.213054 1.776246 -v -0.002738 -0.211401 1.777874 -v -0.004943 -0.226891 1.797382 -v -0.007230 -0.225714 1.798139 -v -0.009812 -0.225976 1.797462 -v -0.011175 -0.227523 1.795748 -v -0.010522 -0.229450 1.794001 -v -0.008234 -0.230627 1.793245 -v -0.005653 -0.230365 1.793921 -v -0.004290 -0.228818 1.795635 -v -0.008781 -0.241806 1.813150 -v -0.011034 -0.240544 1.813804 -v -0.013579 -0.240712 1.813036 -v -0.014925 -0.242213 1.811295 -v -0.014285 -0.244167 1.809601 -v -0.012032 -0.245429 1.808947 -v -0.009487 -0.245261 1.809715 -v -0.008140 -0.243760 1.811456 -v -0.012946 -0.258415 1.830685 -v -0.015198 -0.257226 1.831404 -v -0.017741 -0.257457 1.830708 -v -0.019084 -0.258974 1.829005 -v -0.018441 -0.260886 1.827293 -v -0.016189 -0.262075 1.826575 -v -0.013647 -0.261844 1.827271 -v -0.012303 -0.260328 1.828974 -v -0.008434 0.013379 1.742161 -v -0.010266 0.011359 1.743178 -v -0.011332 0.008849 1.742161 -v -0.011008 0.007319 1.739706 -v -0.009483 0.007665 1.737251 -v -0.007650 0.009686 1.736234 -v -0.006584 0.012196 1.737251 -v -0.006909 0.013726 1.739706 -v 0.004235 0.004921 1.749238 -v 0.002366 0.002944 1.750224 -v 0.001285 0.000462 1.749201 -v 0.001625 -0.001070 1.746771 -v 0.003187 -0.000755 1.744355 -v 0.005055 0.001222 1.743370 -v 0.006136 0.003704 1.744393 -v 0.005796 0.005236 1.746823 -v 0.016897 -0.003533 1.756312 -v 0.015105 -0.005541 1.757327 -v 0.014061 -0.008027 1.756327 -v 0.014374 -0.009534 1.753898 -v 0.015863 -0.009180 1.751463 -v 0.017654 -0.007172 1.750449 -v 0.018699 -0.004686 1.751449 -v 0.018385 -0.003179 1.753878 -v 0.031890 -0.012470 1.763520 -v 0.030252 -0.014552 1.764593 -v 0.029208 -0.017018 1.763596 -v 0.029370 -0.018425 1.761114 -v 0.030643 -0.017948 1.758600 -v 0.032281 -0.015867 1.757527 -v 0.033324 -0.013400 1.758523 -v 0.033163 -0.011993 1.761006 -v 0.047417 -0.021367 1.768382 -v 0.045937 -0.023519 1.769498 -v 0.044884 -0.025962 1.768503 -v 0.044877 -0.027265 1.765979 -v 0.045918 -0.026665 1.763406 -v 0.047399 -0.024513 1.762290 -v 0.048451 -0.022070 1.763285 -v 0.048459 -0.020767 1.765809 -v 0.061306 -0.028583 1.771716 -v 0.059969 -0.030786 1.772867 -v 0.059211 -0.033352 1.771969 -v 0.059475 -0.034778 1.769548 -v 0.060607 -0.034229 1.767021 -v 0.061944 -0.032026 1.765870 -v 0.062702 -0.029460 1.766768 -v 0.062438 -0.028033 1.769189 -v 0.075927 -0.033334 1.778557 -v 0.074691 -0.035553 1.779747 -v 0.074493 -0.038282 1.779128 -v 0.075449 -0.039922 1.777063 -v 0.076999 -0.039512 1.774762 -v 0.078235 -0.037293 1.773572 -v 0.078433 -0.034564 1.774191 -v 0.077477 -0.032924 1.776255 -v 0.088965 -0.034598 1.789267 -v 0.087820 -0.036812 1.790515 -v 0.088122 -0.039574 1.790295 -v 0.089694 -0.041267 1.788736 -v 0.091616 -0.040899 1.786751 -v 0.092761 -0.038685 1.785503 -v 0.092459 -0.035923 1.785723 -v 0.090887 -0.034230 1.787282 -v 0.099261 -0.032714 1.801190 -v 0.098236 -0.034898 1.802549 -v 0.098810 -0.037607 1.802620 -v 0.100647 -0.039253 1.801360 -v 0.102671 -0.038872 1.799508 -v 0.103697 -0.036687 1.798149 -v 0.103122 -0.033979 1.798078 -v 0.101285 -0.032333 1.799338 -v 0.111221 -0.029147 1.814679 -v 0.110327 -0.031284 1.816165 -v 0.110975 -0.033954 1.816320 -v 0.112786 -0.035594 1.815052 -v 0.114698 -0.035242 1.813105 -v 0.115592 -0.033105 1.811618 -v 0.114944 -0.030435 1.811464 -v 0.113133 -0.028796 1.812731 -v 0.124021 -0.025263 1.826843 -v 0.123263 -0.027342 1.828449 -v 0.123993 -0.029967 1.828688 -v 0.125783 -0.031599 1.827419 -v 0.127584 -0.031283 1.825386 -v 0.128342 -0.029203 1.823780 -v 0.127612 -0.026579 1.823542 -v 0.125822 -0.024947 1.824810 -v 0.135124 -0.020593 1.837186 -v 0.134458 -0.022621 1.838866 -v 0.135344 -0.025159 1.839260 -v 0.137264 -0.026719 1.838138 -v 0.139093 -0.026388 1.836156 -v 0.139759 -0.024360 1.834476 -v 0.138873 -0.021822 1.834082 -v 0.136953 -0.020262 1.835205 -v 0.146244 -0.013975 1.849273 -v 0.145609 -0.015974 1.850973 -v 0.146649 -0.018399 1.851539 -v 0.148754 -0.019831 1.850641 -v 0.150690 -0.019430 1.848804 -v 0.151325 -0.017431 1.847105 -v 0.150285 -0.015006 1.846539 -v 0.148181 -0.013574 1.847437 -v 0.155629 -0.006071 1.861951 -v 0.155024 -0.008035 1.863674 -v 0.156195 -0.010329 1.864421 -v 0.158456 -0.011608 1.863756 -v 0.160482 -0.011124 1.862067 -v 0.161087 -0.009160 1.860345 -v 0.159916 -0.006866 1.859598 -v 0.157655 -0.005587 1.860263 -v 0.162733 0.002237 1.873610 -v 0.162147 0.000302 1.875345 -v 0.163368 -0.001914 1.876178 -v 0.165680 -0.003114 1.875620 -v 0.167729 -0.002594 1.873998 -v 0.168314 -0.000660 1.872263 -v 0.167093 0.001557 1.871431 -v 0.164781 0.002757 1.871989 -v 0.170932 0.011693 1.886948 -v 0.170340 0.009759 1.888655 -v 0.171513 0.007514 1.889419 -v 0.173764 0.006272 1.888792 -v 0.175774 0.006761 1.887142 -v 0.176366 0.008694 1.885436 -v 0.175193 0.010940 1.884672 -v 0.172942 0.012182 1.885298 -v -0.010835 0.011336 1.845873 -v -0.011360 0.008650 1.846864 -v -0.010870 0.005958 1.845873 -v -0.009651 0.004836 1.843479 -v -0.008418 0.005942 1.841085 -v -0.007893 0.008628 1.840094 -v -0.008384 0.011320 1.841085 -v -0.009602 0.012442 1.843479 -v 0.001987 0.012046 1.851783 -v 0.001642 0.009381 1.852855 -v 0.002227 0.006707 1.851917 -v 0.003400 0.005591 1.849519 -v 0.004472 0.006687 1.847065 -v 0.004817 0.009352 1.845993 -v 0.004232 0.012026 1.846931 -v 0.003060 0.013142 1.849329 -v 0.014909 0.012758 1.857743 -v 0.014319 0.010106 1.858685 -v 0.014763 0.007447 1.857684 -v 0.015983 0.006339 1.855328 -v 0.017263 0.007430 1.852996 -v 0.017853 0.010082 1.852054 -v 0.017409 0.012741 1.853054 -v 0.016189 0.013849 1.855410 -v 0.028366 0.010992 1.865917 -v 0.027154 0.008464 1.866469 -v 0.027189 0.005891 1.865226 -v 0.028452 0.004781 1.862915 -v 0.030202 0.005783 1.860890 -v 0.031415 0.008312 1.860338 -v 0.031379 0.010884 1.861582 -v 0.030117 0.011995 1.863892 -v 0.039388 0.004804 1.874887 -v 0.037639 0.002569 1.874997 -v 0.037314 0.000196 1.873471 -v 0.038604 -0.000925 1.871202 -v 0.040754 -0.000138 1.869521 -v 0.042503 0.002097 1.869410 -v 0.042828 0.004470 1.870936 -v 0.041538 0.005592 1.873205 -v 0.047136 -0.002659 1.883234 -v 0.045399 -0.004881 1.883345 -v 0.045210 -0.007338 1.881967 -v 0.046679 -0.008589 1.879907 -v 0.048946 -0.007902 1.878372 -v 0.050683 -0.005680 1.878261 -v 0.050872 -0.003224 1.879638 -v 0.049403 -0.001972 1.881698 -v 0.055518 -0.006936 1.893465 -v 0.054235 -0.009345 1.894113 -v 0.054605 -0.012038 1.893422 -v 0.056412 -0.013438 1.891796 -v 0.058597 -0.012725 1.890188 -v 0.059879 -0.010316 1.889539 -v 0.059509 -0.007623 1.890231 -v 0.057703 -0.006223 1.891857 -v 0.063857 -0.005866 1.904491 -v 0.063005 -0.008227 1.905704 -v 0.063915 -0.010861 1.905743 -v 0.066052 -0.012226 1.904586 -v 0.068165 -0.011522 1.902911 -v 0.069016 -0.009161 1.901698 -v 0.068107 -0.006527 1.901658 -v 0.065970 -0.005162 1.902815 -v 0.070756 -0.001416 1.914955 -v 0.070078 -0.003678 1.916403 -v 0.071195 -0.006188 1.916751 -v 0.073452 -0.007477 1.915796 -v 0.075529 -0.006789 1.914096 -v 0.076207 -0.004528 1.912649 -v 0.075090 -0.002017 1.912301 -v 0.072833 -0.000728 1.913256 -v 0.079022 0.003990 1.926943 -v 0.078363 0.001752 1.928403 -v 0.079447 -0.000759 1.928712 -v 0.081639 -0.002072 1.927689 -v 0.083654 -0.001418 1.925933 -v 0.084313 0.000820 1.924473 -v 0.083230 0.003331 1.924164 -v 0.081038 0.004644 1.925187 -v 0.087845 0.008803 1.938364 -v 0.087214 0.006593 1.939846 -v 0.088273 0.004088 1.940130 -v 0.090402 0.002756 1.939049 -v 0.092354 0.003375 1.937237 -v 0.092984 0.005585 1.935755 -v 0.091925 0.008090 1.935471 -v 0.089796 0.009423 1.936551 -v 0.095793 0.013429 1.948238 -v 0.095147 0.011224 1.949687 -v 0.096188 0.008728 1.949955 -v 0.098306 0.007405 1.948884 -v 0.100259 0.008030 1.947102 -v 0.100905 0.010235 1.945653 -v 0.099864 0.012730 1.945386 -v 0.097746 0.014053 1.946457 -v 0.104483 0.017963 1.959847 -v 0.103735 0.015716 1.961142 -v 0.104699 0.013201 1.961313 -v 0.106810 0.011891 1.960259 -v 0.108832 0.012553 1.958598 -v 0.109580 0.014799 1.957303 -v 0.108616 0.017315 1.957132 -v 0.106505 0.018625 1.958186 -v 0.112761 0.021506 1.972084 -v 0.111917 0.019230 1.973223 -v 0.112808 0.016702 1.973295 -v 0.114913 0.015403 1.972259 -v 0.116998 0.016094 1.970721 -v 0.117842 0.018370 1.969583 -v 0.116951 0.020898 1.969510 -v 0.114846 0.022197 1.970547 -v 0.119838 0.024036 1.983305 -v 0.118962 0.021760 1.984377 -v 0.119822 0.019239 1.984410 -v 0.121916 0.017950 1.983385 -v 0.124016 0.018648 1.981902 -v 0.124893 0.020923 1.980831 -v 0.124032 0.023444 1.980798 -v 0.121939 0.024733 1.981823 -v 0.127772 0.026897 1.995853 -v 0.126928 0.024646 1.996959 -v 0.127800 0.022149 1.997019 -v 0.129878 0.020867 1.995998 -v 0.131944 0.021553 1.994493 -v 0.132788 0.023803 1.993387 -v 0.131916 0.026301 1.993327 -v 0.129838 0.027582 1.994348 -v -0.010867 0.006362 1.969482 -v -0.010569 0.009083 1.970473 -v -0.011285 0.011724 1.969482 -v -0.012595 0.012740 1.967090 -v -0.013733 0.011534 1.964697 -v -0.014031 0.008813 1.963706 -v -0.013316 0.006172 1.964697 -v -0.012005 0.005156 1.967090 -v -0.026792 0.005275 1.977653 -v -0.026478 0.007980 1.978629 -v -0.027171 0.010607 1.977634 -v -0.028466 0.011617 1.975252 -v -0.029604 0.010418 1.972878 -v -0.029918 0.007713 1.971902 -v -0.029225 0.005086 1.972896 -v -0.027930 0.004076 1.975278 -v -0.042673 0.004191 1.985801 -v -0.042386 0.006878 1.986783 -v -0.043100 0.009487 1.985808 -v -0.044397 0.010490 1.983446 -v -0.045519 0.009299 1.981081 -v -0.045807 0.006612 1.980098 -v -0.045092 0.004003 1.981074 -v -0.043795 0.003000 1.983436 -v -0.060423 0.002555 1.994935 -v -0.060141 0.005225 1.995914 -v -0.060853 0.007818 1.994946 -v -0.062143 0.008815 1.992598 -v -0.063255 0.007631 1.990247 -v -0.063538 0.004961 1.989268 -v -0.062825 0.002368 1.990236 -v -0.061535 0.001372 1.992584 -v -0.077699 0.001322 2.003781 -v -0.077416 0.003976 2.004753 -v -0.078121 0.006553 2.003789 -v -0.079401 0.007543 2.001455 -v -0.080505 0.006367 1.999117 -v -0.080788 0.003713 1.998146 -v -0.080084 0.001136 1.999110 -v -0.078804 0.000146 2.001444 -v -0.092856 -0.000025 2.011553 -v -0.092758 0.002589 2.012614 -v -0.093648 0.005126 2.011754 -v -0.095004 0.006100 2.009478 -v -0.096032 0.004940 2.007118 -v -0.096129 0.002326 2.006058 -v -0.095239 -0.000211 2.006918 -v -0.093883 -0.001185 2.009194 -v -0.109234 -0.004275 2.020192 -v -0.109394 -0.001738 2.021379 -v -0.110514 0.000727 2.020646 -v -0.111939 0.001676 2.018424 -v -0.112832 0.000554 2.016014 -v -0.112672 -0.001983 2.014827 -v -0.111552 -0.004448 2.015560 -v -0.110128 -0.005397 2.017782 -v -0.126356 -0.010155 2.028643 -v -0.126747 -0.007718 2.029939 -v -0.128067 -0.005344 2.029315 -v -0.129543 -0.004422 2.027138 -v -0.130310 -0.005494 2.024681 -v -0.129919 -0.007930 2.023386 -v -0.128600 -0.010305 2.024009 -v -0.127124 -0.011226 2.026187 -v -0.140383 -0.017228 2.035628 -v -0.141212 -0.015072 2.037156 -v -0.143059 -0.013035 2.036828 -v -0.144843 -0.012310 2.034837 -v -0.145518 -0.013322 2.032349 -v -0.144689 -0.015478 2.030821 -v -0.142841 -0.017515 2.031148 -v -0.141058 -0.018240 2.033139 -v -0.150451 -0.029594 2.043071 -v -0.151808 -0.028172 2.044997 -v -0.154317 -0.027056 2.045185 -v -0.156507 -0.026900 2.043526 -v -0.157096 -0.027795 2.040991 -v -0.155738 -0.029217 2.039065 -v -0.153230 -0.030333 2.038877 -v -0.151039 -0.030489 2.040536 -v -0.152294 -0.045847 2.048500 -v -0.153784 -0.045359 2.050740 -v -0.156452 -0.045405 2.051335 -v -0.158736 -0.045957 2.049937 -v -0.159298 -0.046692 2.047364 -v -0.157808 -0.047180 2.045123 -v -0.155140 -0.047135 2.044528 -v -0.152856 -0.046583 2.045926 -v -0.147682 -0.062951 2.051934 -v -0.149150 -0.062558 2.054186 -v -0.151769 -0.062849 2.054847 -v -0.154005 -0.063655 2.053530 -v -0.154547 -0.064502 2.051007 -v -0.153079 -0.064895 2.048755 -v -0.150460 -0.064603 2.048094 -v -0.148224 -0.063798 2.049411 -v -0.145821 -0.081719 2.059281 -v -0.147326 -0.080549 2.061192 -v -0.149969 -0.080144 2.061558 -v -0.152202 -0.080740 2.060164 -v -0.152717 -0.081989 2.057827 -v -0.151212 -0.083159 2.055916 -v -0.148569 -0.083565 2.055550 -v -0.146336 -0.082968 2.056944 -v -0.150290 -0.097204 2.070745 -v -0.151628 -0.095365 2.072166 -v -0.154115 -0.094365 2.072108 -v -0.156295 -0.094790 2.070605 -v -0.156890 -0.096391 2.068538 -v -0.155552 -0.098230 2.067117 -v -0.153065 -0.099230 2.067175 -v -0.150885 -0.098805 2.068678 -v -0.156856 -0.108325 2.082829 -v -0.158086 -0.106297 2.084044 -v -0.160475 -0.105141 2.083826 -v -0.162626 -0.105533 2.082303 -v -0.163277 -0.107244 2.080368 -v -0.162048 -0.109272 2.079154 -v -0.159658 -0.110428 2.079372 -v -0.157507 -0.110036 2.080894 -v -0.163989 -0.120676 2.096070 -v -0.165281 -0.118798 2.097413 -v -0.167713 -0.117759 2.097308 -v -0.169860 -0.118169 2.095816 -v -0.170464 -0.119787 2.093811 -v -0.169172 -0.121666 2.092468 -v -0.166740 -0.122704 2.092573 -v -0.164594 -0.122294 2.094065 -v -0.017401 0.015426 2.085032 -v -0.019030 0.013194 2.085947 -v -0.019488 0.010468 2.085032 -v -0.018506 0.008847 2.082822 -v -0.016661 0.009279 2.080613 -v -0.015032 0.011511 2.079698 -v -0.014574 0.014236 2.080613 -v -0.015556 0.015858 2.082822 -v -0.005750 0.011544 2.094616 -v -0.007294 0.009297 2.095585 -v -0.007579 0.006524 2.094810 -v -0.006436 0.004849 2.092745 -v -0.004536 0.005254 2.090601 -v -0.002992 0.007500 2.089633 -v -0.002708 0.010273 2.090408 -v -0.003850 0.011948 2.092472 -v 0.006480 0.007437 2.104652 -v 0.004839 0.005246 2.105533 -v 0.004315 0.002585 2.104575 -v 0.005213 0.001015 2.102341 -v 0.007009 0.001453 2.100138 -v 0.008650 0.003645 2.099257 -v 0.009174 0.006305 2.100215 -v 0.008276 0.007876 2.102449 -v 0.020427 -0.000696 2.113345 -v 0.018576 -0.002742 2.114089 -v 0.017480 -0.005043 2.112797 -v 0.017781 -0.006251 2.110224 -v 0.019304 -0.005658 2.107879 -v 0.021155 -0.003612 2.107135 -v 0.022251 -0.001311 2.108428 -v 0.021949 -0.000103 2.111000 -v 0.033329 -0.012302 2.117123 -v 0.031282 -0.014152 2.117795 -v 0.029642 -0.015952 2.116333 -v 0.029370 -0.016648 2.113593 -v 0.030626 -0.015832 2.111180 -v 0.032673 -0.013982 2.110507 -v 0.034313 -0.012181 2.111969 -v 0.034585 -0.011486 2.114709 -v 0.043322 -0.024441 2.117359 -v 0.041126 -0.026094 2.118005 -v 0.039293 -0.027647 2.116524 -v 0.038895 -0.028190 2.113783 -v 0.040166 -0.027406 2.111387 -v 0.042361 -0.025753 2.110741 -v 0.044195 -0.024200 2.112223 -v 0.044593 -0.023657 2.114964 -v 0.053110 -0.037804 2.119327 -v 0.050772 -0.039231 2.119929 -v 0.049009 -0.040855 2.118472 -v 0.048854 -0.041725 2.115809 -v 0.050398 -0.041330 2.113501 -v 0.052737 -0.039903 2.112899 -v 0.054499 -0.038279 2.114356 -v 0.054654 -0.037409 2.117018 -v 0.061418 -0.050922 2.124889 -v 0.058951 -0.052115 2.125401 -v 0.057244 -0.053799 2.123980 -v 0.057295 -0.054986 2.121459 -v 0.059076 -0.054982 2.119314 -v 0.061542 -0.053789 2.118802 -v 0.063250 -0.052105 2.120223 -v 0.063198 -0.050918 2.122745 -v 0.067853 -0.063013 2.131402 -v 0.065419 -0.064228 2.131924 -v 0.063735 -0.065922 2.130522 -v 0.063786 -0.067102 2.128017 -v 0.065543 -0.067077 2.125876 -v 0.067976 -0.065862 2.125354 -v 0.069661 -0.064168 2.126755 -v 0.069610 -0.062988 2.129261 -v 0.076807 -0.076315 2.137027 -v 0.074641 -0.077879 2.137687 -v 0.073009 -0.079621 2.136317 -v 0.072868 -0.080521 2.133720 -v 0.074299 -0.080052 2.131418 -v 0.076466 -0.078488 2.130758 -v 0.078098 -0.076746 2.132127 -v 0.078239 -0.075846 2.134724 -v 0.088572 -0.088502 2.139053 -v 0.086728 -0.090387 2.139776 -v 0.085158 -0.092174 2.138427 -v 0.084782 -0.092815 2.135795 -v 0.085820 -0.091935 2.133423 -v 0.087664 -0.090050 2.132700 -v 0.089234 -0.088263 2.134050 -v 0.089610 -0.087622 2.136682 -v 0.100124 -0.098492 2.139135 -v 0.098255 -0.100330 2.139849 -v 0.096697 -0.102106 2.138508 -v 0.096362 -0.102780 2.135898 -v 0.097446 -0.101956 2.133547 -v 0.099315 -0.100118 2.132833 -v 0.100873 -0.098342 2.134173 -v 0.101208 -0.097668 2.136784 -v 0.111106 -0.110470 2.141857 -v 0.108912 -0.111918 2.142471 -v 0.107317 -0.113630 2.141126 -v 0.107256 -0.114604 2.138609 -v 0.108763 -0.114269 2.136395 -v 0.110957 -0.112821 2.135781 -v 0.112551 -0.111108 2.137126 -v 0.112613 -0.110135 2.139643 -v 0.119094 -0.123394 2.148263 -v 0.116660 -0.124436 2.148684 -v 0.115040 -0.126083 2.147322 -v 0.115185 -0.127370 2.144974 -v 0.117009 -0.127544 2.143016 -v 0.119444 -0.126502 2.142595 -v 0.121063 -0.124855 2.143957 -v 0.120918 -0.123568 2.146305 -v 0.124242 -0.135211 2.156094 -v 0.121750 -0.136094 2.156418 -v 0.120132 -0.137710 2.155052 -v 0.120335 -0.139112 2.152796 -v 0.122241 -0.139479 2.150972 -v 0.124733 -0.138596 2.150648 -v 0.126352 -0.136980 2.152013 -v 0.126148 -0.135577 2.154269 -v 0.130181 -0.148609 2.164884 -v 0.127755 -0.149592 2.165272 -v 0.126154 -0.151211 2.163924 -v 0.126316 -0.152519 2.161630 -v 0.128146 -0.152748 2.159732 -v 0.130572 -0.151766 2.159343 -v 0.132173 -0.150146 2.160691 -v 0.132011 -0.148839 2.162986 -v -0.021588 0.008760 2.208712 -v -0.016178 0.012040 2.208753 -v -0.014671 0.018186 2.208712 -v -0.017950 0.023596 2.208612 -v -0.024095 0.025102 2.208513 -v -0.029505 0.021822 2.208472 -v -0.031012 0.015677 2.208513 -v -0.027733 0.010266 2.208612 -v -0.021671 0.009161 2.223045 -v -0.016293 0.012420 2.222993 -v -0.014794 0.018526 2.222851 -v -0.018053 0.023903 2.222702 -v -0.024161 0.025400 2.222633 -v -0.029539 0.022141 2.222685 -v -0.031038 0.016035 2.222827 -v -0.027779 0.010658 2.222976 -v -0.021752 0.009558 2.237123 -v -0.016407 0.012798 2.237200 -v -0.014919 0.018869 2.237199 -v -0.018159 0.024214 2.237120 -v -0.024229 0.025702 2.237010 -v -0.029574 0.022462 2.236933 -v -0.031062 0.016390 2.236934 -v -0.027822 0.011046 2.237012 -v -0.022201 0.009370 2.252508 -v -0.016903 0.012579 2.252991 -v -0.015441 0.018598 2.253456 -v -0.018669 0.023903 2.253630 -v -0.024698 0.025385 2.253412 -v -0.029996 0.022176 2.252928 -v -0.031459 0.016157 2.252463 -v -0.028230 0.010852 2.252289 -v -0.023325 0.007739 2.267241 -v -0.018090 0.010886 2.268140 -v -0.016670 0.016820 2.269083 -v -0.019897 0.022065 2.269517 -v -0.025881 0.023549 2.269189 -v -0.031117 0.020403 2.268291 -v -0.032537 0.014469 2.267348 -v -0.029309 0.009223 2.266913 -v -0.024746 0.005563 2.281095 -v -0.019527 0.008712 2.281797 -v -0.018093 0.014641 2.282461 -v -0.021284 0.019876 2.282696 -v -0.027230 0.021352 2.282366 -v -0.032449 0.018203 2.281663 -v -0.033883 0.012274 2.281000 -v -0.030692 0.007038 2.280765 -v -0.025644 0.005211 2.297419 -v -0.020420 0.008355 2.297321 -v -0.018951 0.014265 2.297020 -v -0.022096 0.019479 2.296692 -v -0.028013 0.020942 2.296531 -v -0.033236 0.017797 2.296629 -v -0.034706 0.011887 2.296930 -v -0.031561 0.006674 2.297257 -v -0.025211 0.007435 2.313661 -v -0.020035 0.010461 2.312781 -v -0.018593 0.016215 2.311548 -v -0.021728 0.021327 2.310683 -v -0.027605 0.022803 2.310694 -v -0.032780 0.019777 2.311574 -v -0.034223 0.014023 2.312808 -v -0.031087 0.008911 2.313672 -v -0.024148 0.011256 2.327667 -v -0.019020 0.014186 2.326494 -v -0.017617 0.019757 2.324694 -v -0.020759 0.024706 2.323322 -v -0.026606 0.026134 2.323182 -v -0.031733 0.023204 2.324356 -v -0.033137 0.017633 2.326155 -v -0.029995 0.012684 2.327527 -v -0.023795 0.016809 2.343251 -v -0.018701 0.019774 2.342224 -v -0.017304 0.025097 2.339879 -v -0.020422 0.029661 2.337590 -v -0.026228 0.030792 2.336697 -v -0.031321 0.027827 2.337724 -v -0.032719 0.022504 2.340069 -v -0.029601 0.017940 2.342359 -v -0.026204 0.025397 2.358155 -v -0.021158 0.028407 2.357254 -v -0.019699 0.033399 2.354376 -v -0.022681 0.037448 2.351207 -v -0.028357 0.038183 2.349604 -v -0.033403 0.035173 2.350505 -v -0.034862 0.030181 2.353383 -v -0.031880 0.026132 2.356552 -v -0.028915 0.033132 2.368823 -v -0.023892 0.036083 2.367853 -v -0.022527 0.041398 2.365669 -v -0.025618 0.045962 2.363550 -v -0.031355 0.047102 2.362737 -v -0.036378 0.044150 2.363707 -v -0.037743 0.038836 2.365891 -v -0.034652 0.034272 2.368011 -v -0.028098 0.035356 2.378832 -v -0.023133 0.038256 2.377667 -v -0.021501 0.043891 2.377758 -v -0.024159 0.048960 2.379052 -v -0.029549 0.050492 2.380791 -v -0.034514 0.047592 2.381956 -v -0.036146 0.041957 2.381864 -v -0.033488 0.036888 2.380570 -v -0.023481 0.031317 2.387259 -v -0.018633 0.034268 2.385929 -v -0.016058 0.039090 2.387951 -v -0.017263 0.042958 2.392142 -v -0.021542 0.043606 2.396047 -v -0.026389 0.040655 2.397377 -v -0.028965 0.035833 2.395354 -v -0.027760 0.031965 2.391163 -v -0.016091 0.022241 2.393043 -v -0.011322 0.025226 2.391673 -v -0.008260 0.029439 2.394204 -v -0.008700 0.032412 2.399154 -v -0.012382 0.032404 2.403623 -v -0.017151 0.029418 2.404993 -v -0.020213 0.025205 2.402461 -v -0.019774 0.022232 2.397511 -v -0.006322 0.010439 2.401309 -v -0.001555 0.013369 2.399977 -v 0.001161 0.017937 2.402179 -v 0.000234 0.021467 2.406625 -v -0.003793 0.021891 2.410711 -v -0.008560 0.018961 2.412043 -v -0.011276 0.014393 2.409841 -v -0.010349 0.010863 2.405395 -v 0.109933 0.050832 0.685001 -v 0.109539 0.048876 0.685823 -v 0.108986 0.046958 0.685001 -v 0.108598 0.046203 0.683017 -v 0.108603 0.047052 0.681033 -v 0.108997 0.049008 0.680212 -v 0.109550 0.050925 0.681033 -v 0.109938 0.051681 0.683017 -v 0.123797 0.047793 0.682762 -v 0.123498 0.045828 0.683567 -v 0.122951 0.043922 0.682750 -v 0.122476 0.043192 0.680790 -v 0.122353 0.044065 0.678835 -v 0.122652 0.046030 0.678031 -v 0.123200 0.047936 0.678848 -v 0.123674 0.048666 0.680808 -v 0.137514 0.044788 0.680541 -v 0.137087 0.042866 0.681356 -v 0.136540 0.040973 0.680545 -v 0.136193 0.040218 0.678583 -v 0.136250 0.041044 0.676619 -v 0.136677 0.042966 0.675804 -v 0.137224 0.044859 0.676616 -v 0.137570 0.045613 0.678578 -v 0.152380 0.040429 0.680584 -v 0.151608 0.038625 0.681381 -v 0.151064 0.036745 0.680574 -v 0.151067 0.035888 0.678638 -v 0.151615 0.036558 0.676706 -v 0.152388 0.038362 0.675910 -v 0.152931 0.040242 0.676716 -v 0.152928 0.041099 0.678652 -v 0.165590 0.034751 0.684932 -v 0.164493 0.033096 0.685627 -v 0.163953 0.031227 0.684826 -v 0.164287 0.030239 0.682998 -v 0.165298 0.030711 0.681215 -v 0.166395 0.032367 0.680521 -v 0.166934 0.034236 0.681322 -v 0.166601 0.035223 0.683149 -v 0.176738 0.028805 0.691209 -v 0.175669 0.027151 0.691908 -v 0.175111 0.025304 0.691103 -v 0.175393 0.024347 0.689267 -v 0.176348 0.024839 0.687474 -v 0.177417 0.026494 0.686775 -v 0.177975 0.028340 0.687580 -v 0.177693 0.029298 0.689416 -v 0.190590 0.022871 0.694758 -v 0.189897 0.021074 0.695535 -v 0.189298 0.019258 0.694725 -v 0.189142 0.018487 0.692804 -v 0.189522 0.019213 0.690895 -v 0.190214 0.021010 0.690119 -v 0.190814 0.022826 0.690928 -v 0.190970 0.023596 0.692850 -v 0.205348 0.018528 0.692979 -v 0.205045 0.016625 0.693717 -v 0.204400 0.014836 0.692917 -v 0.203792 0.014209 0.691048 -v 0.203577 0.015111 0.689205 -v 0.203880 0.017013 0.688468 -v 0.204525 0.018802 0.689267 -v 0.205133 0.019430 0.691136 -v 0.218236 0.015793 0.688271 -v 0.218075 0.013870 0.688961 -v 0.217414 0.012097 0.688173 -v 0.216640 0.011514 0.686367 -v 0.216206 0.012461 0.684602 -v 0.216367 0.014384 0.683912 -v 0.217028 0.016156 0.684701 -v 0.217802 0.016740 0.686506 -v 0.232474 0.012730 0.683196 -v 0.232218 0.010842 0.683913 -v 0.231576 0.009078 0.683125 -v 0.230923 0.008472 0.681294 -v 0.230643 0.009378 0.679493 -v 0.230899 0.011266 0.678777 -v 0.231542 0.013030 0.679564 -v 0.232194 0.013636 0.681395 -v 0.135770 0.098856 0.703399 -v 0.137704 0.099929 0.704224 -v 0.139882 0.100308 0.703399 -v 0.141029 0.099773 0.701407 -v 0.140473 0.098635 0.699415 -v 0.138539 0.097563 0.698590 -v 0.136361 0.097183 0.699415 -v 0.135214 0.097719 0.701407 -v 0.130274 0.112120 0.696743 -v 0.132157 0.113288 0.697514 -v 0.134291 0.113744 0.696655 -v 0.135426 0.113222 0.694671 -v 0.134898 0.112028 0.692723 -v 0.133016 0.110860 0.691953 -v 0.130882 0.110404 0.692811 -v 0.129746 0.110926 0.694795 -v 0.124721 0.125537 0.690014 -v 0.126644 0.126554 0.690848 -v 0.128806 0.126897 0.690048 -v 0.129940 0.126364 0.688084 -v 0.129382 0.125267 0.686105 -v 0.127459 0.124250 0.685271 -v 0.125297 0.123908 0.686071 -v 0.124163 0.124441 0.688035 -v 0.120765 0.141545 0.683208 -v 0.122758 0.142204 0.684183 -v 0.124969 0.142271 0.683504 -v 0.126104 0.141705 0.681567 -v 0.125498 0.140838 0.679508 -v 0.123505 0.140179 0.678533 -v 0.121293 0.140113 0.679213 -v 0.120158 0.140678 0.681149 -v 0.119974 0.157858 0.677754 -v 0.121976 0.158141 0.678849 -v 0.124191 0.157917 0.678272 -v 0.125320 0.157317 0.676361 -v 0.124703 0.156692 0.674235 -v 0.122701 0.156409 0.673140 -v 0.120486 0.156633 0.673718 -v 0.119357 0.157233 0.675629 -v 0.121372 0.172646 0.673774 -v 0.123352 0.172771 0.674907 -v 0.125546 0.172426 0.674368 -v 0.126667 0.171814 0.672474 -v 0.126060 0.171293 0.670334 -v 0.124080 0.171168 0.669202 -v 0.121886 0.171513 0.669741 -v 0.120765 0.172125 0.671635 -v 0.122838 0.189067 0.669318 -v 0.124813 0.189300 0.670412 -v 0.126997 0.189043 0.669853 -v 0.128112 0.188446 0.667969 -v 0.127504 0.187859 0.665863 -v 0.125530 0.187626 0.664769 -v 0.123345 0.187883 0.665327 -v 0.122230 0.188480 0.667212 -v -0.004315 0.053429 0.707740 -v -0.002556 0.052384 0.708572 -v -0.000665 0.051606 0.707740 -v 0.000252 0.051550 0.705732 -v -0.000344 0.052249 0.703724 -v -0.002102 0.053294 0.702892 -v -0.003994 0.054072 0.703724 -v -0.004910 0.054128 0.705732 -v 0.001611 0.066126 0.710149 -v 0.003384 0.065141 0.710986 -v 0.005285 0.064412 0.710168 -v 0.006201 0.064365 0.708174 -v 0.005594 0.065029 0.706172 -v 0.003821 0.066015 0.705335 -v 0.001920 0.066744 0.706154 -v 0.001004 0.066790 0.708147 -v 0.007581 0.078914 0.712576 -v 0.009307 0.077862 0.713393 -v 0.011167 0.077076 0.712568 -v 0.012070 0.077017 0.710584 -v 0.011488 0.077719 0.708603 -v 0.009762 0.078771 0.707786 -v 0.007902 0.079557 0.708611 -v 0.006999 0.079616 0.710595 -v 0.015307 0.092627 0.715551 -v 0.016877 0.091335 0.716302 -v 0.018632 0.090397 0.715443 -v 0.019542 0.090360 0.713477 -v 0.019076 0.091247 0.711555 -v 0.017506 0.092538 0.710804 -v 0.015752 0.093477 0.711663 -v 0.014841 0.093514 0.713629 -v 0.024932 0.104390 0.720099 -v 0.026313 0.102877 0.720764 -v 0.027944 0.101800 0.719859 -v 0.028868 0.101789 0.717914 -v 0.028545 0.102850 0.716069 -v 0.027164 0.104363 0.715403 -v 0.025533 0.105440 0.716308 -v 0.024609 0.105451 0.718253 -v 0.034471 0.114165 0.724498 -v 0.035981 0.112829 0.725213 -v 0.037610 0.111769 0.724317 -v 0.038404 0.111606 0.722336 -v 0.037896 0.112437 0.720430 -v 0.036386 0.113774 0.719716 -v 0.034757 0.114834 0.720612 -v 0.033964 0.114996 0.722593 -v 0.042426 0.127035 0.725126 -v 0.044309 0.126356 0.725842 -v 0.046023 0.125464 0.724954 -v 0.046564 0.124883 0.722981 -v 0.045615 0.124953 0.721080 -v 0.043732 0.125633 0.720363 -v 0.042018 0.126524 0.721252 -v 0.041477 0.127105 0.723224 -v 0.045893 0.140774 0.719757 -v 0.047953 0.140775 0.720228 -v 0.049701 0.140051 0.719288 -v 0.050113 0.139025 0.717487 -v 0.048948 0.138299 0.715881 -v 0.046889 0.138297 0.715411 -v 0.045141 0.139022 0.716351 -v 0.044729 0.140047 0.718151 -v 0.045676 0.152371 0.711496 -v 0.047735 0.152590 0.711838 -v 0.049478 0.151989 0.710836 -v 0.049885 0.150919 0.709077 -v 0.048716 0.150007 0.707591 -v 0.046657 0.149787 0.707249 -v 0.044914 0.150388 0.708251 -v 0.044507 0.151459 0.710010 -v 0.045778 0.165955 0.704442 -v 0.047819 0.165995 0.704868 -v 0.049555 0.165512 0.703817 -v 0.049968 0.164788 0.701906 -v 0.048817 0.164248 0.700253 -v 0.046776 0.164208 0.699827 -v 0.045040 0.164691 0.700877 -v 0.044627 0.165415 0.702789 -v 0.047274 0.180450 0.701131 -v 0.049286 0.180310 0.701601 -v 0.051021 0.179957 0.700525 -v 0.051461 0.179598 0.698532 -v 0.050349 0.179443 0.696791 -v 0.048336 0.179584 0.696321 -v 0.046601 0.179937 0.697398 -v 0.046161 0.180296 0.699390 -v 0.048773 0.193926 0.699953 -v 0.050768 0.193748 0.700425 -v 0.052498 0.193461 0.699347 -v 0.052949 0.193233 0.697352 -v 0.051857 0.193197 0.695608 -v 0.049862 0.193375 0.695136 -v 0.048132 0.193662 0.696214 -v 0.047681 0.193890 0.698209 -v 0.050476 0.209297 0.698520 -v 0.052461 0.209147 0.698985 -v 0.054175 0.208818 0.697920 -v 0.054613 0.208501 0.695948 -v 0.053519 0.208383 0.694225 -v 0.051534 0.208533 0.693760 -v 0.049820 0.208863 0.694825 -v 0.049382 0.209179 0.696797 -v 0.043497 0.127888 0.725067 -v 0.044062 0.126006 0.725880 -v 0.044602 0.124118 0.725067 -v 0.044802 0.123328 0.723103 -v 0.044543 0.124101 0.721138 -v 0.043979 0.125982 0.720325 -v 0.043439 0.127871 0.721138 -v 0.043239 0.128660 0.723103 -v 0.063506 0.134042 0.722931 -v 0.064159 0.132200 0.723734 -v 0.064655 0.130311 0.722928 -v 0.064704 0.129482 0.720986 -v 0.064277 0.130198 0.719045 -v 0.063624 0.132040 0.718242 -v 0.063127 0.133928 0.719048 -v 0.063078 0.134758 0.720990 -v 0.083189 0.140098 0.720812 -v 0.083707 0.138229 0.721615 -v 0.084257 0.136370 0.720812 -v 0.084518 0.135609 0.718873 -v 0.084336 0.136392 0.716934 -v 0.083818 0.138261 0.716131 -v 0.083267 0.140121 0.716935 -v 0.083007 0.140882 0.718873 -v 0.104404 0.145709 0.723957 -v 0.104613 0.143773 0.724702 -v 0.105294 0.141960 0.723927 -v 0.106046 0.141333 0.722086 -v 0.106431 0.142259 0.720258 -v 0.106222 0.144196 0.719513 -v 0.105541 0.146008 0.720288 -v 0.104788 0.146635 0.722129 -v 0.123019 0.149442 0.733752 -v 0.122943 0.147460 0.734349 -v 0.123743 0.145684 0.733642 -v 0.124950 0.145156 0.732044 -v 0.125858 0.146184 0.730491 -v 0.125934 0.148166 0.729893 -v 0.125134 0.149941 0.730600 -v 0.123927 0.150470 0.732199 -v 0.137724 0.151455 0.747003 -v 0.137544 0.149469 0.747515 -v 0.138384 0.147713 0.746848 -v 0.139752 0.147214 0.745393 -v 0.140847 0.148266 0.744003 -v 0.141027 0.150251 0.743492 -v 0.140187 0.152008 0.744159 -v 0.138819 0.152506 0.745613 -v 0.154611 0.153821 0.761915 -v 0.154503 0.151859 0.762481 -v 0.155307 0.150109 0.761793 -v 0.156552 0.149597 0.760254 -v 0.157508 0.150621 0.758766 -v 0.157617 0.152583 0.758200 -v 0.156813 0.154333 0.758888 -v 0.155568 0.154845 0.760427 -v -0.088494 0.182967 0.691985 -v -0.086322 0.182028 0.692782 -v -0.083957 0.182126 0.691985 -v -0.082786 0.183203 0.690061 -v -0.083493 0.184629 0.688137 -v -0.085665 0.185568 0.687340 -v -0.088030 0.185471 0.688137 -v -0.089201 0.184393 0.690061 -v -0.085885 0.196951 0.701377 -v -0.083727 0.196018 0.702169 -v -0.081378 0.196115 0.701377 -v -0.080214 0.197185 0.699466 -v -0.080917 0.198602 0.697554 -v -0.083075 0.199534 0.696762 -v -0.085424 0.199437 0.697554 -v -0.086588 0.198367 0.699466 -v -0.083277 0.210934 0.710769 -v -0.081133 0.210007 0.711556 -v -0.078799 0.210103 0.710769 -v -0.077643 0.211167 0.708870 -v -0.078341 0.212574 0.706971 -v -0.080485 0.213501 0.706185 -v -0.082819 0.213404 0.706971 -v -0.083975 0.212341 0.708870 -v -0.080361 0.226576 0.721277 -v -0.078231 0.225655 0.722059 -v -0.075913 0.225751 0.721277 -v -0.074764 0.226807 0.719391 -v -0.075458 0.228205 0.717505 -v -0.077588 0.229126 0.716723 -v -0.079906 0.229030 0.717505 -v -0.081054 0.227974 0.719391 -v 0.155440 0.064827 0.794932 -v 0.155059 0.062584 0.795869 -v 0.154858 0.060319 0.794932 -v 0.154954 0.059357 0.792669 -v 0.155292 0.060262 0.790407 -v 0.155673 0.062505 0.789470 -v 0.155874 0.064771 0.790407 -v 0.155778 0.065733 0.792669 -v 0.172101 0.063158 0.795452 -v 0.171849 0.060916 0.796391 -v 0.171655 0.058664 0.795461 -v 0.171633 0.057721 0.793205 -v 0.171797 0.058641 0.790946 -v 0.172049 0.060884 0.790007 -v 0.172243 0.063136 0.790938 -v 0.172264 0.064078 0.793193 -v 0.188573 0.061512 0.795959 -v 0.188145 0.059305 0.796878 -v 0.187944 0.057069 0.795952 -v 0.188087 0.056113 0.793724 -v 0.188491 0.056997 0.791499 -v 0.188919 0.059204 0.790580 -v 0.189120 0.061440 0.791505 -v 0.188977 0.062396 0.793733 -v 0.205864 0.058283 0.799771 -v 0.205039 0.056168 0.800589 -v 0.204819 0.053951 0.799665 -v 0.205332 0.052929 0.797540 -v 0.206279 0.053702 0.795459 -v 0.207104 0.055817 0.794642 -v 0.207324 0.058035 0.795566 -v 0.206811 0.059056 0.797691 -v 0.220664 0.053494 0.807455 -v 0.219481 0.051507 0.808086 -v 0.219243 0.049309 0.807158 -v 0.220091 0.048188 0.805216 -v 0.221527 0.048801 0.803397 -v 0.222710 0.050788 0.802767 -v 0.222948 0.052985 0.803694 -v 0.222100 0.054106 0.805636 -v 0.232239 0.048138 0.816973 -v 0.230930 0.046220 0.817501 -v 0.230687 0.044040 0.816574 -v 0.231653 0.042874 0.814736 -v 0.233262 0.043406 0.813063 -v 0.234572 0.045324 0.812535 -v 0.234814 0.047504 0.813462 -v 0.233848 0.048670 0.815300 -v 0.245471 0.042106 0.827662 -v 0.244262 0.040161 0.828256 -v 0.244025 0.037993 0.827339 -v 0.244900 0.036872 0.825449 -v 0.246374 0.037454 0.823693 -v 0.247583 0.039398 0.823099 -v 0.247820 0.041566 0.824015 -v 0.246945 0.042688 0.825906 -v -0.054790 0.002852 0.835406 -v -0.056127 0.005135 0.836486 -v -0.057156 0.007572 0.835406 -v -0.057274 0.008737 0.832798 -v -0.056411 0.007946 0.830191 -v -0.055073 0.005663 0.829111 -v -0.054044 0.003225 0.830191 -v -0.053927 0.002061 0.832798 -v -0.072891 -0.007071 0.831585 -v -0.074327 -0.004859 0.832637 -v -0.075412 -0.002468 0.831552 -v -0.075509 -0.001301 0.828964 -v -0.074562 -0.002040 0.826391 -v -0.073126 -0.004253 0.825338 -v -0.072041 -0.006643 0.826423 -v -0.071944 -0.007810 0.829011 -v -0.091064 -0.017032 0.827750 -v -0.092342 -0.014756 0.828824 -v -0.093333 -0.012336 0.827762 -v -0.093457 -0.011189 0.825185 -v -0.092641 -0.011988 0.822604 -v -0.091363 -0.014264 0.821530 -v -0.090372 -0.016684 0.822592 -v -0.090248 -0.017831 0.825168 -v -0.112471 -0.026007 0.825045 -v -0.113375 -0.023593 0.826152 -v -0.114191 -0.021118 0.825114 -v -0.114442 -0.020032 0.822540 -v -0.113981 -0.020971 0.819937 -v -0.113077 -0.023385 0.818831 -v -0.112260 -0.025860 0.819868 -v -0.112009 -0.026946 0.822442 -v -0.134247 -0.032207 0.825482 -v -0.134760 -0.029697 0.826579 -v -0.135400 -0.027188 0.825547 -v -0.135791 -0.026150 0.822990 -v -0.135705 -0.027191 0.820406 -v -0.135192 -0.029702 0.819309 -v -0.134552 -0.032210 0.820341 -v -0.134161 -0.033248 0.822898 -v -0.154468 -0.035763 0.827423 -v -0.154810 -0.033237 0.828507 -v -0.155213 -0.030700 0.827471 -v -0.155440 -0.029638 0.824923 -v -0.155358 -0.030673 0.822355 -v -0.155016 -0.033199 0.821272 -v -0.154613 -0.035736 0.822308 -v -0.154386 -0.036798 0.824856 -v -0.177513 -0.038478 0.826437 -v -0.177879 -0.035971 0.827511 -v -0.177907 -0.033409 0.826508 -v -0.177581 -0.032292 0.824013 -v -0.177093 -0.033275 0.821490 -v -0.176727 -0.035782 0.820415 -v -0.176699 -0.038344 0.821419 -v -0.177024 -0.039461 0.823913 -v -0.199822 -0.039148 0.819936 -v -0.200200 -0.036658 0.821000 -v -0.199856 -0.034099 0.820101 -v -0.198992 -0.032970 0.817765 -v -0.198115 -0.033932 0.815361 -v -0.197737 -0.036423 0.814297 -v -0.198081 -0.038982 0.815196 -v -0.198945 -0.040111 0.817532 -v -0.218456 -0.038323 0.811589 -v -0.218896 -0.035849 0.812622 -v -0.218634 -0.033307 0.811700 -v -0.217822 -0.032186 0.809363 -v -0.216936 -0.033142 0.806979 -v -0.216495 -0.035616 0.805946 -v -0.216758 -0.038158 0.806868 -v -0.217570 -0.039279 0.809206 -v -0.239121 -0.040253 0.805794 -v -0.239733 -0.037814 0.806776 -v -0.240029 -0.035350 0.805717 -v -0.239836 -0.034303 0.803236 -v -0.239267 -0.035287 0.800788 -v -0.238655 -0.037725 0.799806 -v -0.238359 -0.040190 0.800866 -v -0.238552 -0.041237 0.803346 -v -0.259872 -0.046065 0.805056 -v -0.260653 -0.043689 0.806021 -v -0.261499 -0.041387 0.804936 -v -0.261913 -0.040508 0.802437 -v -0.261653 -0.041567 0.799987 -v -0.260871 -0.043943 0.799022 -v -0.260026 -0.046245 0.800107 -v -0.259611 -0.047124 0.802606 -v -0.278212 -0.053701 0.807383 -v -0.279059 -0.051366 0.808347 -v -0.280104 -0.049158 0.807287 -v -0.280736 -0.048368 0.804822 -v -0.280584 -0.049460 0.802398 -v -0.279738 -0.051795 0.801433 -v -0.278692 -0.054003 0.802493 -v -0.278060 -0.054793 0.804958 -v -0.299391 -0.062385 0.809912 -v -0.300184 -0.060048 0.810865 -v -0.301081 -0.057798 0.809798 -v -0.301556 -0.056955 0.807336 -v -0.301332 -0.058011 0.804920 -v -0.300539 -0.060349 0.803966 -v -0.299642 -0.062598 0.805033 -v -0.299167 -0.063442 0.807496 -v -0.174862 -0.036651 0.826487 -v -0.177124 -0.035484 0.827533 -v -0.179491 -0.034547 0.826487 -v -0.180576 -0.034389 0.823963 -v -0.179744 -0.035102 0.821439 -v -0.177481 -0.036269 0.820393 -v -0.175114 -0.037206 0.821439 -v -0.174029 -0.037364 0.823963 -v -0.182647 -0.055146 0.827368 -v -0.184956 -0.054126 0.828420 -v -0.187305 -0.053190 0.827380 -v -0.188319 -0.052886 0.824859 -v -0.187404 -0.053392 0.822333 -v -0.185095 -0.054412 0.821281 -v -0.182745 -0.055349 0.822321 -v -0.181731 -0.055653 0.824842 -v -0.190318 -0.073382 0.828223 -v -0.192525 -0.072173 0.829247 -v -0.194862 -0.071250 0.828215 -v -0.195961 -0.071154 0.825732 -v -0.195178 -0.071942 0.823253 -v -0.192971 -0.073151 0.822229 -v -0.190633 -0.074074 0.823261 -v -0.189534 -0.074169 0.825744 -v -0.199885 -0.091652 0.833672 -v -0.201850 -0.090023 0.834550 -v -0.204181 -0.089123 0.833530 -v -0.205513 -0.089478 0.831210 -v -0.205065 -0.090882 0.828948 -v -0.203100 -0.092510 0.828069 -v -0.200769 -0.093411 0.829089 -v -0.199437 -0.093055 0.831410 -v -0.210027 -0.105976 0.844378 -v -0.211729 -0.103997 0.844993 -v -0.214055 -0.103117 0.843989 -v -0.215641 -0.103850 0.841956 -v -0.215559 -0.105767 0.840083 -v -0.213857 -0.107745 0.839468 -v -0.211532 -0.108626 0.840471 -v -0.209945 -0.107893 0.842505 -v -0.219451 -0.116025 0.857505 -v -0.221038 -0.113938 0.857979 -v -0.223352 -0.113068 0.856987 -v -0.225038 -0.113924 0.855111 -v -0.225109 -0.116005 0.853450 -v -0.223522 -0.118092 0.852976 -v -0.221208 -0.118962 0.853967 -v -0.219522 -0.118106 0.855843 -v -0.230171 -0.127612 0.872293 -v -0.231819 -0.125620 0.872860 -v -0.234115 -0.124753 0.871871 -v -0.235714 -0.125517 0.869906 -v -0.235680 -0.127466 0.868116 -v -0.234032 -0.129457 0.867549 -v -0.231736 -0.130324 0.868538 -v -0.230137 -0.129560 0.870503 -v -0.186784 0.093746 0.876343 -v -0.184982 0.095505 0.877315 -v -0.183732 0.097691 0.876343 -v -0.183767 0.099024 0.873997 -v -0.185067 0.098723 0.871650 -v -0.186869 0.096965 0.870678 -v -0.188119 0.094779 0.871650 -v -0.188083 0.093446 0.873997 -v -0.201981 0.105525 0.883240 -v -0.200190 0.107272 0.884206 -v -0.198949 0.109443 0.883240 -v -0.198984 0.110768 0.880909 -v -0.200275 0.110470 0.878578 -v -0.202065 0.108723 0.877612 -v -0.203307 0.106551 0.878578 -v -0.203272 0.105226 0.880909 -v -0.217177 0.117303 0.890137 -v -0.215399 0.119039 0.891096 -v -0.214165 0.121196 0.890137 -v -0.214200 0.122512 0.887821 -v -0.215483 0.122216 0.885505 -v -0.217262 0.120480 0.884546 -v -0.218495 0.118323 0.885505 -v -0.218460 0.117007 0.887821 -v -0.234178 0.130478 0.897855 -v -0.232411 0.132202 0.898807 -v -0.231186 0.134345 0.897855 -v -0.231221 0.135652 0.895554 -v -0.232495 0.135358 0.893253 -v -0.234262 0.133634 0.892300 -v -0.235487 0.131490 0.893253 -v -0.235452 0.130183 0.895554 -v -0.240061 -0.040433 0.805434 -v -0.237922 -0.039047 0.806322 -v -0.236528 -0.036913 0.805434 -v -0.236696 -0.035281 0.803291 -v -0.238328 -0.035107 0.801148 -v -0.240467 -0.036493 0.800260 -v -0.241861 -0.038627 0.801148 -v -0.241693 -0.040259 0.803291 -v -0.253906 -0.026514 0.817093 -v -0.251780 -0.025137 0.817975 -v -0.250396 -0.023017 0.817093 -v -0.250563 -0.021396 0.814964 -v -0.252183 -0.021223 0.812835 -v -0.254309 -0.022600 0.811953 -v -0.255693 -0.024720 0.812835 -v -0.255526 -0.026341 0.814964 -v -0.267750 -0.012596 0.828752 -v -0.265639 -0.011228 0.829629 -v -0.264263 -0.009122 0.828752 -v -0.264429 -0.007511 0.826637 -v -0.266039 -0.007339 0.824522 -v -0.268151 -0.008707 0.823646 -v -0.269526 -0.010813 0.824522 -v -0.269360 -0.012424 0.826637 -v -0.283238 0.002973 0.841797 -v -0.281141 0.004332 0.842667 -v -0.279775 0.006424 0.841797 -v -0.279939 0.008024 0.839696 -v -0.281539 0.008195 0.837594 -v -0.283636 0.006836 0.836724 -v -0.285003 0.004744 0.837594 -v -0.284838 0.003143 0.839696 -v 0.074905 -0.162730 0.917479 -v 0.073136 -0.160960 0.918471 -v 0.071020 -0.159624 0.917479 -v 0.069796 -0.159506 0.915085 -v 0.070182 -0.160673 0.912690 -v 0.071950 -0.162443 0.911699 -v 0.074067 -0.163779 0.912690 -v 0.075290 -0.163897 0.915085 -v 0.063844 -0.176542 0.922424 -v 0.062086 -0.174784 0.923410 -v 0.059984 -0.173457 0.922425 -v 0.058768 -0.173339 0.920046 -v 0.059151 -0.174499 0.917667 -v 0.060908 -0.176258 0.916682 -v 0.063011 -0.177584 0.917667 -v 0.064227 -0.177702 0.920046 -v 0.052782 -0.190355 0.927370 -v 0.051037 -0.188608 0.928349 -v 0.048948 -0.187290 0.927370 -v 0.047740 -0.187173 0.925007 -v 0.048121 -0.188325 0.922643 -v 0.049866 -0.190072 0.921665 -v 0.051955 -0.191390 0.922643 -v 0.053163 -0.191507 0.925007 -v 0.040410 -0.205807 0.932904 -v 0.038676 -0.204072 0.933876 -v 0.036601 -0.202763 0.932904 -v 0.035401 -0.202646 0.930556 -v 0.035779 -0.203791 0.928209 -v 0.037513 -0.205526 0.927236 -v 0.039588 -0.206835 0.928209 -v 0.040788 -0.206952 0.930556 -v 0.120212 -0.011426 0.967367 -v 0.118782 -0.013040 0.968258 -v 0.117273 -0.014581 0.967367 -v 0.116571 -0.015148 0.965215 -v 0.117086 -0.014407 0.963063 -v 0.118517 -0.012793 0.962171 -v 0.120025 -0.011252 0.963063 -v 0.120727 -0.010685 0.965215 -v 0.131717 -0.021531 0.966081 -v 0.130359 -0.023192 0.966961 -v 0.128892 -0.024752 0.966072 -v 0.128177 -0.025299 0.963935 -v 0.128631 -0.024512 0.961802 -v 0.129990 -0.022851 0.960922 -v 0.131457 -0.021291 0.961811 -v 0.132172 -0.020744 0.963948 -v 0.143247 -0.031659 0.964794 -v 0.141810 -0.033229 0.965676 -v 0.140308 -0.034739 0.964796 -v 0.139621 -0.035305 0.962671 -v 0.140152 -0.034594 0.960544 -v 0.141589 -0.033024 0.959662 -v 0.143091 -0.031514 0.960541 -v 0.143778 -0.030948 0.962667 -v 0.155163 -0.044044 0.964487 -v 0.153497 -0.045347 0.965365 -v 0.151872 -0.046703 0.964493 -v 0.151240 -0.047320 0.962380 -v 0.151972 -0.046835 0.960265 -v 0.153637 -0.045533 0.959387 -v 0.155262 -0.044177 0.960260 -v 0.155894 -0.043560 0.962372 -v 0.164430 -0.057844 0.966054 -v 0.162568 -0.058844 0.966897 -v 0.160838 -0.060028 0.966012 -v 0.160253 -0.060701 0.963920 -v 0.161156 -0.060470 0.961845 -v 0.163017 -0.059470 0.961002 -v 0.164747 -0.058286 0.961886 -v 0.165332 -0.057613 0.963979 -v 0.171425 -0.070773 0.968473 -v 0.169634 -0.071857 0.969324 -v 0.167971 -0.073119 0.968459 -v 0.167410 -0.073821 0.966385 -v 0.168281 -0.073551 0.964316 -v 0.170073 -0.072467 0.963466 -v 0.171736 -0.071205 0.964331 -v 0.172296 -0.070503 0.966405 -v 0.181654 -0.083098 0.969914 -v 0.180244 -0.084602 0.970805 -v 0.178857 -0.086162 0.969978 -v 0.178304 -0.086864 0.967918 -v 0.178911 -0.086297 0.965831 -v 0.180321 -0.084794 0.964941 -v 0.181708 -0.083234 0.965768 -v 0.182261 -0.082532 0.967828 -v 0.194911 -0.092232 0.969452 -v 0.193965 -0.094053 0.970328 -v 0.192913 -0.095837 0.969500 -v 0.192370 -0.096539 0.967453 -v 0.192656 -0.095749 0.965387 -v 0.193602 -0.093928 0.964511 -v 0.194654 -0.092144 0.965339 -v 0.195197 -0.091441 0.967386 -v 0.208394 -0.098110 0.967939 -v 0.207649 -0.100016 0.968790 -v 0.206746 -0.101859 0.967954 -v 0.206215 -0.102560 0.965921 -v 0.206366 -0.101709 0.963880 -v 0.207110 -0.099803 0.963028 -v 0.208013 -0.097960 0.963864 -v 0.208544 -0.097258 0.965898 -v 0.223667 -0.104912 0.966271 -v 0.222791 -0.106740 0.967130 -v 0.221795 -0.108524 0.966309 -v 0.221262 -0.109218 0.964289 -v 0.221504 -0.108416 0.962253 -v 0.222380 -0.106589 0.961394 -v 0.223376 -0.104805 0.962215 -v 0.223909 -0.104111 0.964235 -v 0.211483 0.043815 1.017838 -v 0.213577 0.042317 1.018648 -v 0.216134 0.042014 1.017838 -v 0.217656 0.043084 1.015882 -v 0.217252 0.044900 1.013927 -v 0.215158 0.046398 1.013116 -v 0.212601 0.046701 1.013927 -v 0.211079 0.045631 1.015882 -v 0.216878 0.057703 1.029604 -v 0.218959 0.056215 1.030409 -v 0.221499 0.055914 1.029604 -v 0.223011 0.056977 1.027661 -v 0.222609 0.058781 1.025719 -v 0.220528 0.060269 1.024914 -v 0.217988 0.060570 1.025719 -v 0.216476 0.059507 1.027661 -v 0.222273 0.071591 1.041371 -v 0.224340 0.070112 1.042170 -v 0.226863 0.069813 1.041371 -v 0.228365 0.070869 1.039441 -v 0.227966 0.072661 1.037511 -v 0.225899 0.074140 1.036711 -v 0.223376 0.074439 1.037511 -v 0.221874 0.073383 1.039441 -v 0.228306 0.087126 1.054535 -v 0.230359 0.085658 1.055329 -v 0.232866 0.085361 1.054535 -v 0.234358 0.086410 1.052618 -v 0.233961 0.088190 1.050700 -v 0.231908 0.089659 1.049906 -v 0.229402 0.089955 1.050700 -v 0.227910 0.088907 1.052618 -v -0.247567 0.079759 1.039962 -v -0.245648 0.081463 1.040799 -v -0.244724 0.083857 1.039962 -v -0.245335 0.085538 1.037942 -v -0.247125 0.085523 1.035921 -v -0.249044 0.083819 1.035084 -v -0.249968 0.081426 1.035921 -v -0.249357 0.079744 1.037942 -v -0.262408 0.090078 1.053014 -v -0.260501 0.091770 1.053846 -v -0.259583 0.094149 1.053014 -v -0.260191 0.095819 1.051007 -v -0.261968 0.095804 1.048999 -v -0.263875 0.094111 1.048168 -v -0.264793 0.091733 1.048999 -v -0.264186 0.090063 1.051007 -v -0.277249 0.100397 1.066066 -v -0.275355 0.102078 1.066892 -v -0.274442 0.104440 1.066066 -v -0.275046 0.106100 1.064072 -v -0.276812 0.106085 1.062077 -v -0.278706 0.104404 1.061251 -v -0.279618 0.102041 1.062077 -v -0.279015 0.100381 1.064072 -v -0.293851 0.111937 1.080668 -v -0.291969 0.113608 1.081489 -v -0.291063 0.115955 1.080668 -v -0.291663 0.117603 1.078687 -v -0.293417 0.117588 1.076706 -v -0.295298 0.115918 1.075886 -v -0.296205 0.113571 1.076706 -v -0.295605 0.111922 1.078687 -v -0.062045 -0.017450 1.095425 -v -0.063679 -0.016227 1.096199 -v -0.065609 -0.015561 1.095425 -v -0.066703 -0.015842 1.093557 -v -0.066321 -0.016905 1.091689 -v -0.064686 -0.018128 1.090916 -v -0.062757 -0.018794 1.091689 -v -0.061663 -0.018513 1.093557 -v -0.067866 -0.029219 1.100517 -v -0.069518 -0.028059 1.101310 -v -0.071453 -0.027431 1.100557 -v -0.072537 -0.027703 1.098697 -v -0.072134 -0.028715 1.096821 -v -0.070482 -0.029875 1.096027 -v -0.068547 -0.030503 1.096781 -v -0.067463 -0.030231 1.098640 -v -0.073709 -0.041033 1.105628 -v -0.075312 -0.039804 1.106382 -v -0.077211 -0.039133 1.105612 -v -0.078293 -0.039413 1.103769 -v -0.077925 -0.040480 1.101932 -v -0.076322 -0.041709 1.101178 -v -0.074424 -0.042380 1.101948 -v -0.073341 -0.042100 1.103792 -v -0.081110 -0.053347 1.111931 -v -0.082614 -0.051975 1.112600 -v -0.084471 -0.051258 1.111808 -v -0.085594 -0.051618 1.110019 -v -0.085325 -0.052842 1.108281 -v -0.083822 -0.054214 1.107613 -v -0.081965 -0.054930 1.108405 -v -0.080841 -0.054571 1.110193 -v -0.088670 -0.064255 1.119628 -v -0.090069 -0.062755 1.120200 -v -0.091887 -0.062004 1.119386 -v -0.093059 -0.062441 1.117663 -v -0.092899 -0.063811 1.116041 -v -0.091500 -0.065310 1.115469 -v -0.089681 -0.066061 1.116283 -v -0.088509 -0.065624 1.118006 -v -0.096257 -0.073371 1.127239 -v -0.097552 -0.071769 1.127724 -v -0.099207 -0.070846 1.126783 -v -0.100253 -0.071143 1.124969 -v -0.100078 -0.072485 1.123343 -v -0.098783 -0.074086 1.122858 -v -0.097128 -0.075009 1.123799 -v -0.096082 -0.074713 1.125613 -v -0.107168 -0.083188 1.133087 -v -0.108381 -0.081530 1.133532 -v -0.109697 -0.080313 1.132434 -v -0.110344 -0.080250 1.130435 -v -0.109944 -0.081377 1.128706 -v -0.108730 -0.083035 1.128261 -v -0.107414 -0.084251 1.129359 -v -0.106767 -0.084315 1.131358 -v -0.119891 -0.092544 1.134244 -v -0.121017 -0.090838 1.134677 -v -0.121946 -0.089354 1.133538 -v -0.122135 -0.088961 1.131496 -v -0.121473 -0.089888 1.129746 -v -0.120347 -0.091594 1.129313 -v -0.119418 -0.093078 1.130452 -v -0.119229 -0.093471 1.132494 -v -0.132057 -0.099491 1.132448 -v -0.132986 -0.097688 1.132887 -v -0.133709 -0.096099 1.131765 -v -0.133802 -0.095654 1.129741 -v -0.133211 -0.096614 1.127999 -v -0.132282 -0.098416 1.127560 -v -0.131559 -0.100006 1.128681 -v -0.131466 -0.100451 1.130705 -v -0.145833 -0.105433 1.132639 -v -0.146471 -0.103519 1.133064 -v -0.147204 -0.101947 1.131950 -v -0.147603 -0.101637 1.129952 -v -0.147434 -0.102771 1.128238 -v -0.146796 -0.104684 1.127814 -v -0.146063 -0.106257 1.128927 -v -0.145663 -0.106567 1.130926 -v -0.159613 -0.109543 1.136341 -v -0.159953 -0.107554 1.136692 -v -0.160688 -0.105994 1.135588 -v -0.161388 -0.105776 1.133675 -v -0.161641 -0.107029 1.132074 -v -0.161301 -0.109018 1.131723 -v -0.160566 -0.110578 1.132828 -v -0.159866 -0.110796 1.134741 -v -0.172055 -0.111548 1.141427 -v -0.172262 -0.109547 1.141726 -v -0.172969 -0.107992 1.140620 -v -0.173760 -0.107795 1.138756 -v -0.174173 -0.109071 1.137226 -v -0.173965 -0.111073 1.136926 -v -0.173259 -0.112627 1.138032 -v -0.172467 -0.112825 1.139897 -v -0.186126 -0.113896 1.147099 -v -0.186423 -0.111925 1.147432 -v -0.187141 -0.110384 1.146339 -v -0.187860 -0.110175 1.144462 -v -0.188159 -0.111422 1.142899 -v -0.187862 -0.113393 1.142567 -v -0.187143 -0.114935 1.143659 -v -0.186424 -0.115143 1.145536 -v -0.106722 -0.081196 1.132629 -v -0.108692 -0.081048 1.133346 -v -0.110583 -0.081623 1.132629 -v -0.111286 -0.082584 1.130896 -v -0.110390 -0.083369 1.129164 -v -0.108419 -0.083517 1.128447 -v -0.106529 -0.082942 1.129164 -v -0.105826 -0.081980 1.130896 -v -0.103720 -0.099149 1.141327 -v -0.105663 -0.099104 1.142091 -v -0.107531 -0.099747 1.141413 -v -0.108230 -0.100700 1.139691 -v -0.107350 -0.101405 1.137934 -v -0.105407 -0.101450 1.137170 -v -0.103538 -0.100807 1.137847 -v -0.102840 -0.099854 1.139569 -v -0.100702 -0.117219 1.150084 -v -0.102651 -0.117032 1.150771 -v -0.104520 -0.117571 1.150048 -v -0.105214 -0.118520 1.148339 -v -0.104326 -0.119325 1.146644 -v -0.102377 -0.119512 1.145957 -v -0.100508 -0.118973 1.146680 -v -0.099814 -0.118023 1.148390 -v -0.100615 -0.136916 1.161012 -v -0.102549 -0.136401 1.161510 -v -0.104403 -0.136709 1.160664 -v -0.105093 -0.137659 1.158969 -v -0.104213 -0.138694 1.157418 -v -0.102280 -0.139209 1.156920 -v -0.100425 -0.138901 1.157766 -v -0.099736 -0.137951 1.159461 -v -0.104776 -0.154745 1.172728 -v -0.106628 -0.153921 1.173019 -v -0.108423 -0.154010 1.172037 -v -0.109109 -0.154959 1.170357 -v -0.108285 -0.156214 1.168964 -v -0.106433 -0.157038 1.168673 -v -0.104637 -0.156949 1.169655 -v -0.103951 -0.156000 1.171335 -v -0.111335 -0.169457 1.183740 -v -0.113128 -0.168516 1.183940 -v -0.114879 -0.168520 1.182903 -v -0.115561 -0.169466 1.181236 -v -0.114776 -0.170799 1.179915 -v -0.112983 -0.171740 1.179715 -v -0.111233 -0.171736 1.180752 -v -0.110550 -0.170791 1.182419 -v -0.118535 -0.185928 1.196008 -v -0.120350 -0.185078 1.196269 -v -0.122113 -0.185140 1.195282 -v -0.122790 -0.186078 1.193624 -v -0.121986 -0.187342 1.192268 -v -0.120171 -0.188192 1.192007 -v -0.118408 -0.188130 1.192994 -v -0.117731 -0.187192 1.194652 -v 0.090706 0.028858 1.184528 -v 0.091708 0.027133 1.185354 -v 0.092693 0.025398 1.184528 -v 0.093083 0.024670 1.182534 -v 0.092650 0.025374 1.180539 -v 0.091648 0.027099 1.179713 -v 0.090664 0.028834 1.180539 -v 0.090274 0.029562 1.182534 -v 0.102978 0.036056 1.183975 -v 0.104010 0.034363 1.184795 -v 0.104987 0.032639 1.183974 -v 0.105338 0.031893 1.181993 -v 0.104857 0.032563 1.180013 -v 0.103826 0.034256 1.179193 -v 0.102848 0.035981 1.180014 -v 0.102497 0.036726 1.181995 -v 0.115186 0.043217 1.183425 -v 0.116162 0.041506 1.184240 -v 0.117134 0.039794 1.183425 -v 0.117534 0.039082 1.181455 -v 0.117127 0.039790 1.179485 -v 0.116152 0.041501 1.178670 -v 0.115179 0.043213 1.179485 -v 0.114779 0.043924 1.181455 -v 0.128955 0.050784 1.183942 -v 0.129737 0.048985 1.184740 -v 0.130690 0.047276 1.183929 -v 0.131256 0.046658 1.181983 -v 0.131103 0.047494 1.180043 -v 0.130320 0.049294 1.179245 -v 0.129367 0.051003 1.180056 -v 0.128801 0.051620 1.182002 -v 0.142771 0.056839 1.187065 -v 0.143351 0.054961 1.187819 -v 0.144283 0.053256 1.187009 -v 0.145021 0.052723 1.185112 -v 0.145132 0.053674 1.183237 -v 0.144552 0.055552 1.182484 -v 0.143620 0.057256 1.183293 -v 0.142882 0.057790 1.185191 -v 0.155299 0.061792 1.191007 -v 0.156038 0.060000 1.191792 -v 0.157016 0.058330 1.191000 -v 0.157660 0.057760 1.189094 -v 0.157593 0.058623 1.187191 -v 0.156854 0.060415 1.186405 -v 0.155876 0.062085 1.187197 -v 0.155232 0.062655 1.189103 -v 0.168317 0.069573 1.191746 -v 0.169544 0.068097 1.192542 -v 0.170628 0.066508 1.191758 -v 0.170935 0.065736 1.189854 -v 0.170285 0.066234 1.187945 -v 0.169058 0.067709 1.187149 -v 0.167974 0.069298 1.187932 -v 0.167667 0.070071 1.189836 -v 0.178978 0.079607 1.187562 -v 0.180607 0.078517 1.188208 -v 0.181779 0.077025 1.187396 -v 0.181808 0.076005 1.185602 -v 0.180677 0.076055 1.183876 -v 0.179048 0.077145 1.183230 -v 0.177876 0.078638 1.184042 -v 0.177846 0.079657 1.185836 -v 0.186218 0.089508 1.180784 -v 0.187968 0.088588 1.181325 -v 0.189165 0.087145 1.180495 -v 0.189107 0.086024 1.178779 -v 0.187827 0.085882 1.177182 -v 0.186077 0.086803 1.176641 -v 0.184880 0.088246 1.177472 -v 0.184939 0.089366 1.179188 -v 0.194378 0.100500 1.173361 -v 0.196029 0.099474 1.173970 -v 0.197196 0.098014 1.173162 -v 0.197197 0.096974 1.171410 -v 0.196029 0.096965 1.169741 -v 0.194378 0.097991 1.169132 -v 0.193211 0.099451 1.169940 -v 0.193211 0.100491 1.171692 -v 0.169157 -0.021817 1.226967 -v 0.166848 -0.020847 1.227973 -v 0.164399 -0.020323 1.226967 -v 0.163244 -0.020552 1.224538 -v 0.164060 -0.021399 1.222109 -v 0.166369 -0.022370 1.221102 -v 0.168819 -0.022894 1.222109 -v 0.169973 -0.022665 1.224538 -v 0.162942 -0.041549 1.231757 -v 0.160648 -0.040586 1.232756 -v 0.158215 -0.040065 1.231757 -v 0.157067 -0.040292 1.229344 -v 0.157878 -0.041134 1.226930 -v 0.160172 -0.042098 1.225931 -v 0.162605 -0.042619 1.226930 -v 0.163753 -0.042392 1.229344 -v 0.156726 -0.061282 1.236547 -v 0.154447 -0.060324 1.237540 -v 0.152030 -0.059807 1.236547 -v 0.150891 -0.060033 1.234149 -v 0.151696 -0.060869 1.231752 -v 0.153975 -0.061827 1.230759 -v 0.156392 -0.062345 1.231752 -v 0.157532 -0.062119 1.234149 -v 0.149775 -0.083356 1.241907 -v 0.147512 -0.082405 1.242894 -v 0.145111 -0.081891 1.241907 -v 0.143979 -0.082115 1.239526 -v 0.144779 -0.082946 1.237144 -v 0.147043 -0.083898 1.236158 -v 0.149444 -0.084412 1.237144 -v 0.150576 -0.084187 1.239526 -v -0.059351 0.265129 1.295463 -v -0.057587 0.266727 1.296445 -v -0.055723 0.268208 1.295463 -v -0.054851 0.268703 1.293091 -v -0.055481 0.267922 1.290720 -v -0.057245 0.266324 1.289737 -v -0.059109 0.264844 1.290720 -v -0.059982 0.264349 1.293091 -v -0.070676 0.278499 1.294066 -v -0.068924 0.280087 1.295042 -v -0.067072 0.281558 1.294066 -v -0.066205 0.282050 1.291710 -v -0.066832 0.281275 1.289354 -v -0.068584 0.279687 1.288378 -v -0.070436 0.278216 1.289354 -v -0.071303 0.277724 1.291710 -v -0.082001 0.291870 1.292670 -v -0.080261 0.293447 1.293639 -v -0.078421 0.294908 1.292670 -v -0.077560 0.295396 1.290329 -v -0.078182 0.294627 1.287988 -v -0.079923 0.293049 1.287019 -v -0.081763 0.291588 1.287988 -v -0.082624 0.291100 1.290329 -v -0.094672 0.306825 1.291109 -v -0.092943 0.308392 1.292072 -v -0.091115 0.309844 1.291109 -v -0.090260 0.310329 1.288784 -v -0.090878 0.309564 1.286459 -v -0.092607 0.307997 1.285496 -v -0.094435 0.306546 1.286459 -v -0.095290 0.306061 1.288784 -v -0.056231 0.030087 1.350180 -v -0.056628 0.032750 1.351140 -v -0.058012 0.035059 1.350180 -v -0.059573 0.035661 1.347863 -v -0.060396 0.034205 1.345546 -v -0.059999 0.031542 1.344586 -v -0.058614 0.029233 1.345546 -v -0.057054 0.028631 1.347863 -v -0.073360 0.023617 1.359448 -v -0.073817 0.026240 1.360437 -v -0.075200 0.028532 1.359487 -v -0.076699 0.029150 1.357155 -v -0.077435 0.027733 1.354806 -v -0.076978 0.025110 1.353817 -v -0.075595 0.022818 1.354767 -v -0.074096 0.022200 1.357099 -v -0.090412 0.017175 1.368672 -v -0.090780 0.019814 1.369605 -v -0.092144 0.022095 1.368656 -v -0.093706 0.022683 1.366379 -v -0.094551 0.021233 1.364110 -v -0.094183 0.018595 1.363176 -v -0.092819 0.016313 1.364126 -v -0.091257 0.015725 1.366402 -v -0.108923 0.011262 1.380696 -v -0.108971 0.013972 1.381418 -v -0.110172 0.016282 1.380374 -v -0.111822 0.016839 1.378176 -v -0.112954 0.015317 1.376110 -v -0.112906 0.012607 1.375387 -v -0.111706 0.010297 1.376431 -v -0.110056 0.009740 1.378630 -v -0.127201 0.009700 1.394329 -v -0.126929 0.012432 1.394808 -v -0.127957 0.014748 1.393646 -v -0.129682 0.015291 1.391526 -v -0.131095 0.013743 1.389688 -v -0.131366 0.011010 1.389210 -v -0.130339 0.008694 1.390371 -v -0.128613 0.008151 1.392492 -v -0.142349 0.009875 1.407354 -v -0.142326 0.012556 1.408049 -v -0.143707 0.014808 1.407216 -v -0.145685 0.015311 1.405343 -v -0.147100 0.013771 1.403527 -v -0.147123 0.011090 1.402832 -v -0.145742 0.008838 1.403665 -v -0.143764 0.008335 1.405538 -v -0.154763 0.003016 1.421542 -v -0.155438 0.005231 1.423030 -v -0.157555 0.006989 1.423051 -v -0.159873 0.007262 1.421593 -v -0.161035 0.005889 1.419510 -v -0.160359 0.003674 1.418022 -v -0.158242 0.001916 1.418001 -v -0.155924 0.001643 1.419459 -v -0.160865 -0.012661 1.432508 -v -0.161911 -0.011318 1.434648 -v -0.164411 -0.010479 1.435371 -v -0.166902 -0.010637 1.434253 -v -0.167923 -0.011698 1.431949 -v -0.166878 -0.013042 1.429809 -v -0.164377 -0.013880 1.429087 -v -0.161887 -0.013723 1.430205 -v -0.160880 -0.031550 1.440061 -v -0.161934 -0.030368 1.442268 -v -0.164449 -0.029860 1.443160 -v -0.166953 -0.030323 1.442213 -v -0.167979 -0.031486 1.439982 -v -0.166925 -0.032668 1.437775 -v -0.164410 -0.033176 1.436883 -v -0.161906 -0.032713 1.437830 -v -0.161459 -0.050404 1.452668 -v -0.162472 -0.048623 1.454425 -v -0.164950 -0.047758 1.455052 -v -0.167444 -0.048316 1.454181 -v -0.168491 -0.049971 1.452324 -v -0.167479 -0.051752 1.450566 -v -0.165000 -0.052617 1.449939 -v -0.162507 -0.052059 1.450810 -v -0.164334 -0.063420 1.470233 -v -0.165261 -0.061193 1.471403 -v -0.167679 -0.060070 1.471694 -v -0.170170 -0.060709 1.470936 -v -0.171276 -0.062735 1.469572 -v -0.170348 -0.064962 1.468401 -v -0.167931 -0.066086 1.468110 -v -0.165439 -0.065447 1.468869 -v -0.166962 -0.071592 1.488168 -v -0.167851 -0.069265 1.489110 -v -0.170238 -0.068097 1.489301 -v -0.172725 -0.068774 1.488627 -v -0.173855 -0.070898 1.487484 -v -0.172966 -0.073226 1.486542 -v -0.170579 -0.074393 1.486351 -v -0.168092 -0.073717 1.487025 -v -0.169905 -0.080909 1.508187 -v -0.170811 -0.078674 1.509276 -v -0.173192 -0.077549 1.509534 -v -0.175654 -0.078193 1.508809 -v -0.176755 -0.080229 1.507526 -v -0.175850 -0.082464 1.506436 -v -0.173468 -0.083589 1.506178 -v -0.171006 -0.082945 1.506903 -v -0.124654 0.146959 1.347049 -v -0.122175 0.146393 1.348101 -v -0.119678 0.145909 1.347049 -v -0.118627 0.145791 1.344508 -v -0.119636 0.146107 1.341967 -v -0.122115 0.146673 1.340915 -v -0.124612 0.147157 1.341967 -v -0.125663 0.147275 1.344508 -v -0.121916 0.166111 1.346390 -v -0.119410 0.165790 1.347437 -v -0.116914 0.165400 1.346391 -v -0.115889 0.165170 1.343867 -v -0.116936 0.165234 1.341341 -v -0.119442 0.165555 1.340295 -v -0.121938 0.165944 1.341340 -v -0.122963 0.166175 1.343865 -v -0.119185 0.185225 1.345731 -v -0.116761 0.184563 1.346764 -v -0.114305 0.184047 1.345723 -v -0.113257 0.183978 1.343218 -v -0.114229 0.184398 1.340716 -v -0.116653 0.185060 1.339683 -v -0.119109 0.185576 1.340724 -v -0.120157 0.185645 1.343230 -v -0.112487 0.204455 1.349331 -v -0.110356 0.203043 1.350199 -v -0.108021 0.202246 1.349105 -v -0.106849 0.202531 1.346690 -v -0.107527 0.203730 1.344369 -v -0.109658 0.205142 1.343501 -v -0.111993 0.205939 1.344595 -v -0.113165 0.205654 1.347010 -v -0.101929 0.219006 1.357969 -v -0.100240 0.216987 1.358484 -v -0.098082 0.215963 1.357266 -v -0.096717 0.216534 1.355029 -v -0.096947 0.218365 1.353083 -v -0.098635 0.220383 1.352568 -v -0.100794 0.221407 1.353786 -v -0.102158 0.220836 1.356023 -v -0.090155 0.228343 1.368892 -v -0.088687 0.226144 1.369214 -v -0.086621 0.225053 1.367933 -v -0.085168 0.225711 1.365800 -v -0.085179 0.227731 1.364063 -v -0.086647 0.229930 1.363740 -v -0.088713 0.231020 1.365021 -v -0.090166 0.230363 1.367155 -v -0.077010 0.239018 1.381045 -v -0.075407 0.236961 1.381497 -v -0.073301 0.235926 1.380274 -v -0.071925 0.236520 1.378093 -v -0.072085 0.238393 1.376231 -v -0.073688 0.240450 1.375779 -v -0.075794 0.241485 1.377002 -v -0.077170 0.240892 1.379183 -v -0.157501 0.001886 1.423013 -v -0.157152 0.004414 1.424043 -v -0.157240 0.006964 1.423013 -v -0.157714 0.008043 1.420526 -v -0.158296 0.007019 1.418039 -v -0.158645 0.004491 1.417009 -v -0.158558 0.001940 1.418039 -v -0.158084 0.000861 1.420526 -v -0.177312 0.001694 1.425915 -v -0.177182 0.004210 1.426978 -v -0.177358 0.006746 1.425970 -v -0.177735 0.007816 1.423482 -v -0.178094 0.006793 1.420972 -v -0.178225 0.004277 1.419909 -v -0.178049 0.001741 1.420917 -v -0.177671 0.000671 1.423405 -v -0.197115 0.001501 1.428816 -v -0.196678 0.003991 1.429812 -v -0.196728 0.006506 1.428787 -v -0.197235 0.007574 1.426341 -v -0.197902 0.006568 1.423907 -v -0.198338 0.004079 1.422910 -v -0.198288 0.001563 1.423936 -v -0.197782 0.000496 1.426382 -v -0.217339 0.005017 1.435701 -v -0.216226 0.007361 1.436447 -v -0.216002 0.009808 1.435329 -v -0.216796 0.010924 1.433003 -v -0.218143 0.010056 1.430832 -v -0.219256 0.007712 1.430087 -v -0.219481 0.005266 1.431204 -v -0.218687 0.004149 1.433530 -v -0.233331 0.012928 1.446557 -v -0.231650 0.014986 1.446920 -v -0.231194 0.017307 1.445657 -v -0.232229 0.018532 1.443508 -v -0.234150 0.017943 1.441732 -v -0.235831 0.015885 1.441369 -v -0.236287 0.013564 1.442632 -v -0.235252 0.012339 1.444781 -v -0.244426 0.022844 1.458754 -v -0.242563 0.024741 1.458928 -v -0.242032 0.026987 1.457598 -v -0.243143 0.028267 1.455543 -v -0.245246 0.027831 1.453967 -v -0.247109 0.025935 1.453793 -v -0.247640 0.023689 1.455123 -v -0.246529 0.022409 1.457178 -v -0.257037 0.033861 1.472354 -v -0.255316 0.035848 1.472656 -v -0.254840 0.038121 1.471387 -v -0.255889 0.039348 1.469291 -v -0.257847 0.038811 1.467594 -v -0.259568 0.036824 1.467291 -v -0.260044 0.034551 1.468560 -v -0.258995 0.033323 1.470657 -v 0.155436 -0.011300 1.501530 -v 0.153772 -0.013296 1.502436 -v 0.153057 -0.015794 1.501530 -v 0.153710 -0.017331 1.499342 -v 0.155348 -0.017007 1.497155 -v 0.157012 -0.015010 1.496248 -v 0.157727 -0.012512 1.497155 -v 0.157074 -0.010975 1.499342 -v 0.171232 -0.018035 1.511245 -v 0.169738 -0.020094 1.512247 -v 0.169158 -0.022638 1.511431 -v 0.169832 -0.024178 1.509274 -v 0.171365 -0.023810 1.507039 -v 0.172859 -0.021751 1.506037 -v 0.173439 -0.019206 1.506853 -v 0.172765 -0.017667 1.509010 -v 0.187292 -0.024899 1.521131 -v 0.185585 -0.026834 1.521982 -v 0.184828 -0.029272 1.521052 -v 0.185462 -0.030784 1.518886 -v 0.187117 -0.030484 1.516752 -v 0.188823 -0.028549 1.515901 -v 0.189581 -0.026111 1.516831 -v 0.188946 -0.024599 1.518998 -v 0.202264 -0.036220 1.532920 -v 0.200124 -0.037791 1.533407 -v 0.199007 -0.039925 1.532188 -v 0.199566 -0.041371 1.529979 -v 0.201475 -0.041282 1.528073 -v 0.203615 -0.039711 1.527586 -v 0.204732 -0.037577 1.528804 -v 0.204173 -0.036131 1.531013 -v 0.212079 -0.051226 1.544606 -v 0.209633 -0.052319 1.544719 -v 0.208261 -0.054055 1.543205 -v 0.208766 -0.055417 1.540951 -v 0.210852 -0.055607 1.539277 -v 0.213298 -0.054514 1.539164 -v 0.214671 -0.052778 1.540678 -v 0.214166 -0.051416 1.542932 -v 0.217203 -0.066817 1.554750 -v 0.214684 -0.067683 1.554713 -v 0.213247 -0.069227 1.553085 -v 0.213735 -0.070545 1.550822 -v 0.215860 -0.070865 1.549249 -v 0.218379 -0.069999 1.549287 -v 0.219816 -0.068455 1.550914 -v 0.219328 -0.067137 1.553177 -v 0.223004 -0.083949 1.565968 -v 0.220560 -0.084962 1.566033 -v 0.219182 -0.086622 1.564502 -v 0.219675 -0.087956 1.562270 -v 0.221752 -0.088182 1.560646 -v 0.224195 -0.087169 1.560580 -v 0.225574 -0.085509 1.562112 -v 0.225081 -0.084175 1.564343 -v 0.016290 0.052536 1.545014 -v 0.018974 0.052809 1.545957 -v 0.021323 0.054135 1.545014 -v 0.021961 0.055739 1.542736 -v 0.020514 0.056681 1.540458 -v 0.017830 0.056408 1.539515 -v 0.015482 0.055082 1.540458 -v 0.014844 0.053478 1.542736 -v 0.010042 0.071152 1.556348 -v 0.012697 0.071460 1.557309 -v 0.015023 0.072805 1.556387 -v 0.015656 0.074399 1.554124 -v 0.014227 0.075309 1.551844 -v 0.011572 0.075001 1.550884 -v 0.009246 0.073656 1.551805 -v 0.008612 0.072062 1.554069 -v 0.003778 0.089814 1.567711 -v 0.006434 0.090068 1.568633 -v 0.008757 0.091368 1.567695 -v 0.009387 0.092952 1.565445 -v 0.007955 0.093892 1.563202 -v 0.005300 0.093638 1.562279 -v 0.002976 0.092338 1.563217 -v 0.002346 0.090754 1.565467 -v -0.002168 0.110802 1.580789 -v 0.000505 0.110933 1.581630 -v 0.002837 0.112140 1.580644 -v 0.003463 0.113716 1.578410 -v 0.002016 0.114738 1.576236 -v -0.000657 0.114607 1.575395 -v -0.002990 0.113400 1.576381 -v -0.003615 0.111824 1.578615 -v -0.006487 0.131091 1.593897 -v -0.003804 0.131097 1.594653 -v -0.001468 0.132211 1.593618 -v -0.000846 0.133779 1.591399 -v -0.002304 0.134884 1.589296 -v -0.004987 0.134878 1.588541 -v -0.007324 0.133764 1.589575 -v -0.007945 0.132196 1.591794 -v -0.009357 0.149155 1.605836 -v -0.006683 0.149115 1.606557 -v -0.004355 0.150182 1.605503 -v -0.003736 0.151731 1.603292 -v -0.005189 0.152855 1.601219 -v -0.007863 0.152895 1.600499 -v -0.010192 0.151828 1.601553 -v -0.010810 0.150278 1.603764 -v -0.012677 0.169543 1.619043 -v -0.010028 0.169550 1.619788 -v -0.007715 0.170616 1.618744 -v -0.007094 0.172116 1.616523 -v -0.008527 0.173173 1.614425 -v -0.011176 0.173166 1.613679 -v -0.013489 0.172100 1.614723 -v -0.014111 0.170600 1.616944 -v -0.016670 0.190283 1.631522 -v -0.014047 0.190336 1.632291 -v -0.011750 0.191399 1.631256 -v -0.011124 0.192849 1.629024 -v -0.012537 0.193837 1.626902 -v -0.015161 0.193784 1.626132 -v -0.017458 0.192721 1.627167 -v -0.018083 0.191271 1.629399 -v -0.020288 0.208812 1.642383 -v -0.017673 0.208819 1.643120 -v -0.015391 0.209874 1.642092 -v -0.014778 0.211359 1.639900 -v -0.016193 0.212403 1.637830 -v -0.018808 0.212395 1.637093 -v -0.021091 0.211340 1.638122 -v -0.021704 0.209856 1.640313 -v -0.023537 0.228883 1.655767 -v -0.020920 0.228775 1.656421 -v -0.018654 0.229829 1.655403 -v -0.018064 0.231427 1.653309 -v -0.019498 0.232633 1.651366 -v -0.022114 0.232741 1.650712 -v -0.024381 0.231687 1.651730 -v -0.024970 0.230089 1.653824 -v -0.025735 0.247985 1.670698 -v -0.023123 0.247769 1.671263 -v -0.020872 0.248821 1.670256 -v -0.020300 0.250526 1.668267 -v -0.021743 0.251885 1.666461 -v -0.024355 0.252102 1.665896 -v -0.026607 0.251049 1.666903 -v -0.027178 0.249344 1.668892 -v -0.026964 0.264328 1.685025 -v -0.024365 0.264069 1.685549 -v -0.022129 0.265116 1.684550 -v -0.021565 0.266856 1.682614 -v -0.023005 0.268270 1.680874 -v -0.025604 0.268529 1.680350 -v -0.027840 0.267481 1.681349 -v -0.028404 0.265741 1.683286 -v -0.028385 0.282781 1.701133 -v -0.025806 0.282555 1.701680 -v -0.023584 0.283594 1.700686 -v -0.023021 0.285290 1.698735 -v -0.024447 0.286650 1.696968 -v -0.027027 0.286876 1.696421 -v -0.029248 0.285837 1.697415 -v -0.029811 0.284141 1.699366 -v 0.113468 0.112596 1.540857 -v 0.114541 0.110278 1.541883 -v 0.115168 0.107803 1.540857 -v 0.114982 0.106619 1.538380 -v 0.114092 0.107421 1.535902 -v 0.113019 0.109738 1.534876 -v 0.112392 0.112214 1.535902 -v 0.112578 0.113397 1.538380 -v 0.131863 0.119303 1.534574 -v 0.133029 0.117037 1.535565 -v 0.133594 0.114556 1.534562 -v 0.133226 0.113315 1.532154 -v 0.132142 0.114039 1.529750 -v 0.130975 0.116305 1.528760 -v 0.130410 0.118786 1.529763 -v 0.130778 0.120027 1.532171 -v 0.149844 0.125862 1.528407 -v 0.150860 0.123559 1.529430 -v 0.151504 0.121124 1.528411 -v 0.151398 0.119984 1.525948 -v 0.150605 0.120805 1.523483 -v 0.149589 0.123108 1.522460 -v 0.148945 0.125543 1.523479 -v 0.149051 0.126684 1.525942 -v 0.170167 0.132669 1.526826 -v 0.170830 0.130266 1.527861 -v 0.171671 0.127914 1.526838 -v 0.172197 0.126990 1.524356 -v 0.172100 0.128037 1.521870 -v 0.171438 0.130440 1.520836 -v 0.170597 0.132792 1.521859 -v 0.170071 0.133715 1.524340 -v 0.189395 0.138356 1.531977 -v 0.189709 0.135866 1.532920 -v 0.190744 0.133589 1.531953 -v 0.191894 0.132859 1.529643 -v 0.192485 0.134105 1.527343 -v 0.192171 0.136595 1.526400 -v 0.191136 0.138872 1.527367 -v 0.189986 0.139602 1.529677 -v 0.205813 0.142663 1.541214 -v 0.205990 0.140152 1.542087 -v 0.207096 0.137911 1.541163 -v 0.208482 0.137253 1.538986 -v 0.209336 0.138563 1.536829 -v 0.209159 0.141074 1.535957 -v 0.208053 0.143315 1.536880 -v 0.206667 0.143973 1.539058 -v 0.224713 0.147653 1.551591 -v 0.224981 0.145184 1.552503 -v 0.226027 0.142943 1.551560 -v 0.227237 0.142244 1.549313 -v 0.227904 0.143496 1.547079 -v 0.227636 0.145966 1.546166 -v 0.226590 0.148206 1.547110 -v 0.225380 0.148905 1.549357 -v -0.038284 -0.048646 1.654135 -v -0.039988 -0.046628 1.655229 -v -0.041646 -0.044574 1.654135 -v -0.042288 -0.043685 1.651496 -v -0.041537 -0.044483 1.648857 -v -0.039833 -0.046501 1.647763 -v -0.038174 -0.048555 1.648857 -v -0.037532 -0.049444 1.651496 -v -0.055230 -0.062963 1.652710 -v -0.056978 -0.061004 1.653793 -v -0.058620 -0.058957 1.652707 -v -0.059194 -0.058021 1.650087 -v -0.058364 -0.058744 1.647469 -v -0.056616 -0.060703 1.646386 -v -0.054974 -0.062750 1.647472 -v -0.054400 -0.063686 1.650092 -v -0.072057 -0.077182 1.651290 -v -0.073718 -0.075171 1.652371 -v -0.075359 -0.073144 1.651291 -v -0.076018 -0.072288 1.648683 -v -0.075310 -0.073103 1.646076 -v -0.073649 -0.075114 1.644995 -v -0.072008 -0.077141 1.646075 -v -0.071349 -0.077997 1.648683 -v -0.091187 -0.092271 1.652224 -v -0.092745 -0.090198 1.653293 -v -0.094456 -0.088249 1.652224 -v -0.095318 -0.087566 1.649644 -v -0.094826 -0.088550 1.647063 -v -0.093269 -0.090623 1.645994 -v -0.091558 -0.092572 1.647063 -v -0.090696 -0.093254 1.649644 -v -0.109412 -0.107491 1.655683 -v -0.110878 -0.105364 1.656730 -v -0.112666 -0.103499 1.655684 -v -0.113728 -0.102988 1.653158 -v -0.113443 -0.104131 1.650632 -v -0.111977 -0.106258 1.649585 -v -0.110189 -0.108123 1.650631 -v -0.109127 -0.108634 1.653157 -v -0.125921 -0.120573 1.660958 -v -0.127035 -0.118216 1.661893 -v -0.128640 -0.116240 1.660801 -v -0.129795 -0.115803 1.658321 -v -0.129825 -0.117162 1.655908 -v -0.128711 -0.119519 1.654974 -v -0.127106 -0.121495 1.656066 -v -0.125950 -0.121931 1.658545 -v -0.146686 -0.130000 1.669042 -v -0.147140 -0.127376 1.669733 -v -0.148203 -0.125183 1.668455 -v -0.149252 -0.124706 1.665956 -v -0.149672 -0.126225 1.663699 -v -0.149218 -0.128849 1.663008 -v -0.148155 -0.131042 1.664286 -v -0.147106 -0.131519 1.666785 -v -0.169695 -0.132328 1.677023 -v -0.169456 -0.129639 1.677455 -v -0.169942 -0.127392 1.675973 -v -0.170869 -0.126905 1.673447 -v -0.171693 -0.128462 1.671356 -v -0.171932 -0.131152 1.670925 -v -0.171446 -0.133398 1.672406 -v -0.170519 -0.133885 1.674932 -v -0.189708 -0.129047 1.684955 -v -0.189111 -0.126410 1.685220 -v -0.189544 -0.124183 1.683726 -v -0.190754 -0.123670 1.681348 -v -0.192031 -0.125173 1.679479 -v -0.192627 -0.127810 1.679214 -v -0.192194 -0.130037 1.680708 -v -0.190985 -0.130549 1.683086 -v -0.208354 -0.125645 1.698227 -v -0.207728 -0.123030 1.698465 -v -0.208548 -0.120754 1.697268 -v -0.210334 -0.120151 1.695336 -v -0.212039 -0.121572 1.693801 -v -0.212665 -0.124187 1.693562 -v -0.211845 -0.126463 1.694760 -v -0.210059 -0.127067 1.696692 -v -0.222062 -0.124138 1.716235 -v -0.221403 -0.121546 1.716426 -v -0.222509 -0.119244 1.715609 -v -0.224732 -0.118580 1.714264 -v -0.226769 -0.119944 1.713178 -v -0.227428 -0.122537 1.712988 -v -0.226322 -0.124839 1.713805 -v -0.224099 -0.125502 1.715150 -v -0.230423 -0.122821 1.735733 -v -0.229737 -0.120250 1.735859 -v -0.230910 -0.117953 1.735195 -v -0.233256 -0.117275 1.734130 -v -0.235400 -0.118613 1.733288 -v -0.236086 -0.121184 1.733163 -v -0.234913 -0.123481 1.733827 -v -0.232567 -0.124159 1.734892 -v -0.240269 -0.121302 1.758042 -v -0.239609 -0.118745 1.758210 -v -0.240725 -0.116470 1.757448 -v -0.242964 -0.115809 1.756202 -v -0.245014 -0.117150 1.755201 -v -0.245674 -0.119707 1.755033 -v -0.244558 -0.121982 1.755795 -v -0.242319 -0.122642 1.757041 -v -0.145895 -0.128994 1.668810 -v -0.148242 -0.128311 1.669820 -v -0.150552 -0.127512 1.668810 -v -0.151472 -0.127064 1.666371 -v -0.150463 -0.127231 1.663931 -v -0.148116 -0.127914 1.662921 -v -0.145806 -0.128714 1.663931 -v -0.144886 -0.129161 1.666371 -v -0.150298 -0.146231 1.666995 -v -0.152680 -0.145728 1.667984 -v -0.155003 -0.145031 1.666972 -v -0.155906 -0.144548 1.664551 -v -0.154860 -0.144563 1.662140 -v -0.152478 -0.145066 1.661151 -v -0.150155 -0.145763 1.662163 -v -0.149252 -0.146246 1.664584 -v -0.154731 -0.163569 1.665171 -v -0.157024 -0.162823 1.666173 -v -0.159291 -0.161994 1.665177 -v -0.160204 -0.161568 1.662769 -v -0.159229 -0.161794 1.660357 -v -0.156935 -0.162540 1.659356 -v -0.154668 -0.163369 1.660351 -v -0.153755 -0.163795 1.662760 -v -0.162725 -0.181652 1.665440 -v -0.164753 -0.180364 1.666420 -v -0.166866 -0.179238 1.665423 -v -0.167828 -0.178933 1.663033 -v -0.167074 -0.179628 1.660650 -v -0.165047 -0.180916 1.659670 -v -0.162933 -0.182042 1.660667 -v -0.161972 -0.182347 1.663057 -v -0.174007 -0.196704 1.668635 -v -0.175668 -0.194940 1.669512 -v -0.177573 -0.193552 1.668467 -v -0.178604 -0.193355 1.666114 -v -0.178159 -0.194462 1.663830 -v -0.176498 -0.196226 1.662953 -v -0.174593 -0.197614 1.663998 -v -0.173561 -0.197812 1.666351 -v -0.186201 -0.207982 1.673429 -v -0.187681 -0.206056 1.674237 -v -0.189478 -0.204581 1.673164 -v -0.190540 -0.204422 1.670840 -v -0.190245 -0.205672 1.668626 -v -0.188765 -0.207599 1.667818 -v -0.186968 -0.209074 1.668890 -v -0.185906 -0.209233 1.671214 -v -0.199729 -0.220671 1.678702 -v -0.201319 -0.218876 1.679550 -v -0.203170 -0.217477 1.678510 -v -0.204199 -0.217293 1.676191 -v -0.203803 -0.218433 1.673952 -v -0.202213 -0.220228 1.673105 -v -0.200362 -0.221628 1.674145 -v -0.199333 -0.221811 1.676464 -v 0.078850 -0.035551 1.779180 -v 0.076380 -0.036109 1.780224 -v 0.073958 -0.036851 1.779180 -v 0.073004 -0.037342 1.776659 -v 0.074076 -0.037295 1.774139 -v 0.076546 -0.036737 1.773095 -v 0.078968 -0.035995 1.774139 -v 0.079922 -0.035504 1.776659 -v 0.083700 -0.052975 1.780171 -v 0.081263 -0.053595 1.781214 -v 0.078855 -0.054328 1.780176 -v 0.077887 -0.054743 1.777665 -v 0.078926 -0.054598 1.775153 -v 0.081363 -0.053977 1.774110 -v 0.083771 -0.053245 1.775148 -v 0.084739 -0.052830 1.777659 -v 0.088514 -0.070266 1.781151 -v 0.086068 -0.070791 1.782179 -v 0.083677 -0.071526 1.781149 -v 0.082743 -0.072040 1.778663 -v 0.083812 -0.072033 1.776178 -v 0.086258 -0.071508 1.775149 -v 0.088649 -0.070773 1.776180 -v 0.089584 -0.070259 1.778666 -v 0.093141 -0.089493 1.784214 -v 0.090636 -0.089662 1.785175 -v 0.088239 -0.090286 1.784133 -v 0.087352 -0.091000 1.781697 -v 0.088497 -0.091384 1.779296 -v 0.091001 -0.091215 1.778334 -v 0.093399 -0.090591 1.779377 -v 0.094285 -0.089878 1.781812 -v 0.094521 -0.108422 1.790089 -v 0.091995 -0.108228 1.790936 -v 0.089601 -0.108730 1.789864 -v 0.088740 -0.109633 1.787503 -v 0.089917 -0.110408 1.785234 -v 0.092443 -0.110602 1.784388 -v 0.094838 -0.110100 1.785459 -v 0.095698 -0.109197 1.787821 -v 0.094736 -0.124623 1.796918 -v 0.092266 -0.124744 1.797880 -v 0.089933 -0.125608 1.796957 -v 0.089103 -0.126710 1.794690 -v 0.090263 -0.127403 1.792406 -v 0.092733 -0.127282 1.791444 -v 0.095066 -0.126417 1.792367 -v 0.095896 -0.125316 1.794634 -v 0.101162 -0.140324 1.803130 -v 0.099114 -0.141349 1.804436 -v 0.097152 -0.143000 1.803825 -v 0.096424 -0.144310 1.801656 -v 0.097358 -0.144511 1.799198 -v 0.099406 -0.143485 1.797893 -v 0.101368 -0.141834 1.798503 -v 0.102095 -0.140524 1.800673 -v 0.114593 -0.151892 1.806668 -v 0.113312 -0.153597 1.808189 -v 0.112026 -0.155841 1.807779 -v 0.111489 -0.157311 1.805679 -v 0.112015 -0.157145 1.803119 -v 0.113296 -0.155441 1.801598 -v 0.114582 -0.153196 1.802008 -v 0.115119 -0.151726 1.804108 -v 0.130870 -0.158330 1.808058 -v 0.129972 -0.160211 1.809616 -v 0.129037 -0.162611 1.809252 -v 0.128612 -0.164125 1.807180 -v 0.128946 -0.163866 1.804612 -v 0.129844 -0.161986 1.803054 -v 0.130779 -0.159586 1.803418 -v 0.131204 -0.158071 1.805491 -v 0.149554 -0.166029 1.809775 -v 0.148407 -0.167778 1.811293 -v 0.147244 -0.170053 1.810905 -v 0.146748 -0.171523 1.808838 -v 0.147208 -0.171326 1.806302 -v 0.148356 -0.169577 1.804784 -v 0.149518 -0.167301 1.805172 -v 0.150014 -0.165832 1.807239 -v 0.150952 -0.014758 1.850615 -v 0.148454 -0.013969 1.851267 -v 0.145965 -0.014781 1.850615 -v 0.144941 -0.016719 1.849039 -v 0.145983 -0.018647 1.847463 -v 0.148480 -0.019436 1.846810 -v 0.150970 -0.018624 1.847463 -v 0.151994 -0.016686 1.849039 -v 0.150991 -0.026677 1.865207 -v 0.148510 -0.025893 1.865855 -v 0.146036 -0.026700 1.865207 -v 0.145019 -0.028625 1.863641 -v 0.146054 -0.030540 1.862076 -v 0.148535 -0.031324 1.861427 -v 0.151009 -0.030517 1.862076 -v 0.152026 -0.028592 1.863641 -v 0.151030 -0.038596 1.879799 -v 0.148565 -0.037817 1.880443 -v 0.146108 -0.038618 1.879799 -v 0.145097 -0.040531 1.878243 -v 0.146126 -0.042433 1.876688 -v 0.148590 -0.043212 1.876044 -v 0.151048 -0.042410 1.876688 -v 0.152058 -0.040498 1.878243 -v 0.151076 -0.051927 1.896124 -v 0.148627 -0.051154 1.896764 -v 0.146186 -0.051950 1.896124 -v 0.145183 -0.053849 1.894579 -v 0.146204 -0.055739 1.893034 -v 0.148652 -0.056513 1.892394 -v 0.151093 -0.055717 1.893034 -v 0.152097 -0.053817 1.894579 -v 0.101594 -0.143567 1.803421 -v 0.099133 -0.143706 1.804356 -v 0.096746 -0.143091 1.803421 -v 0.095832 -0.142080 1.801164 -v 0.096925 -0.141268 1.798907 -v 0.099386 -0.141128 1.797972 -v 0.101773 -0.141744 1.798907 -v 0.102688 -0.142754 1.801164 -v 0.099800 -0.161672 1.796021 -v 0.097355 -0.161810 1.796950 -v 0.094984 -0.161199 1.796021 -v 0.094075 -0.160195 1.793779 -v 0.095162 -0.159388 1.791537 -v 0.097607 -0.159249 1.790608 -v 0.099978 -0.159861 1.791537 -v 0.100886 -0.160864 1.793779 -v 0.098006 -0.179777 1.788620 -v 0.095577 -0.179914 1.789543 -v 0.093221 -0.179307 1.788620 -v 0.092319 -0.178310 1.786393 -v 0.093398 -0.177508 1.784166 -v 0.095827 -0.177370 1.783243 -v 0.098182 -0.177978 1.784166 -v 0.099085 -0.178974 1.786393 -v 0.096000 -0.200031 1.780344 -v 0.093587 -0.200168 1.781260 -v 0.091247 -0.199564 1.780344 -v 0.090351 -0.198574 1.778131 -v 0.091423 -0.197777 1.775918 -v 0.093836 -0.197640 1.775002 -v 0.096176 -0.198244 1.775918 -v 0.097072 -0.199234 1.778131 -v 0.027868 0.010122 1.865642 -v 0.029240 0.008353 1.866570 -v 0.030638 0.006604 1.865642 -v 0.031243 0.005900 1.863404 -v 0.030701 0.006653 1.861165 -v 0.029328 0.008422 1.860237 -v 0.027930 0.010171 1.861165 -v 0.027325 0.010875 1.863404 -v 0.040124 0.019871 1.865643 -v 0.041510 0.018130 1.866565 -v 0.042898 0.016390 1.865643 -v 0.043474 0.015670 1.863418 -v 0.042901 0.016392 1.861193 -v 0.041515 0.018133 1.860271 -v 0.040128 0.019873 1.861192 -v 0.039552 0.020593 1.863418 -v 0.052335 0.029582 1.865643 -v 0.053682 0.027828 1.866559 -v 0.055063 0.026102 1.865643 -v 0.055671 0.025414 1.863432 -v 0.055148 0.026168 1.861221 -v 0.053801 0.027922 1.860306 -v 0.052419 0.029649 1.861222 -v 0.051812 0.030337 1.863432 -v 0.066110 0.040190 1.866456 -v 0.067329 0.038357 1.867357 -v 0.068682 0.036626 1.866446 -v 0.069377 0.036011 1.864256 -v 0.069007 0.036873 1.862070 -v 0.067788 0.038707 1.861169 -v 0.066435 0.040437 1.862080 -v 0.065740 0.041052 1.864270 -v 0.079987 0.049514 1.868772 -v 0.081069 0.047603 1.869647 -v 0.082390 0.045867 1.868738 -v 0.083176 0.045322 1.866576 -v 0.082967 0.046288 1.864429 -v 0.081885 0.048198 1.863554 -v 0.080564 0.049935 1.864463 -v 0.079777 0.050479 1.866625 -v 0.092450 0.057486 1.871601 -v 0.093638 0.055667 1.872492 -v 0.095036 0.054001 1.871605 -v 0.095825 0.053465 1.869458 -v 0.095542 0.054372 1.867311 -v 0.094354 0.056192 1.866419 -v 0.092956 0.057858 1.867307 -v 0.092167 0.058394 1.869453 -v 0.105045 0.068200 1.873249 -v 0.106647 0.066779 1.874177 -v 0.108272 0.065340 1.873318 -v 0.108968 0.064726 1.871177 -v 0.108327 0.065298 1.869007 -v 0.106725 0.066719 1.868079 -v 0.105101 0.068158 1.868937 -v 0.104405 0.068771 1.871079 -v 0.114453 0.082362 1.871569 -v 0.116378 0.081415 1.872450 -v 0.118179 0.080248 1.871574 -v 0.118803 0.079543 1.869454 -v 0.117882 0.079714 1.867333 -v 0.115957 0.080661 1.866452 -v 0.114156 0.081829 1.867328 -v 0.113533 0.082533 1.869447 -v 0.121248 0.096526 1.868573 -v 0.123025 0.095371 1.869477 -v 0.124733 0.094082 1.868624 -v 0.125373 0.093415 1.866514 -v 0.124570 0.093760 1.864383 -v 0.122794 0.094915 1.863478 -v 0.121085 0.096204 1.864331 -v 0.120445 0.096871 1.866441 -v 0.132836 0.108287 1.868931 -v 0.133827 0.106406 1.869780 -v 0.135069 0.104695 1.868904 -v 0.135836 0.104156 1.866816 -v 0.135677 0.105105 1.864738 -v 0.134687 0.106985 1.863889 -v 0.133444 0.108696 1.864765 -v 0.132678 0.109235 1.866853 -v 0.147922 0.113007 1.874076 -v 0.147951 0.110798 1.874612 -v 0.148624 0.108897 1.873560 -v 0.149547 0.108419 1.871538 -v 0.150178 0.109644 1.869729 -v 0.150149 0.111853 1.869193 -v 0.149477 0.113754 1.870245 -v 0.148554 0.114232 1.872267 -v 0.161942 0.111836 1.881296 -v 0.161593 0.109632 1.881649 -v 0.162039 0.107739 1.880500 -v 0.163018 0.107266 1.878521 -v 0.163959 0.108489 1.876871 -v 0.164308 0.110693 1.876517 -v 0.163863 0.112586 1.877666 -v 0.162883 0.113059 1.879645 -v 0.177460 0.110753 1.889194 -v 0.177363 0.108562 1.889667 -v 0.177953 0.106680 1.888596 -v 0.178884 0.106210 1.886610 -v 0.179612 0.107427 1.884870 -v 0.179709 0.109619 1.884398 -v 0.179119 0.111501 1.885468 -v 0.178187 0.111971 1.887455 -v 0.058916 -0.008879 1.893800 -v 0.056895 -0.009171 1.894618 -v 0.054970 -0.009849 1.893800 -v 0.054267 -0.010516 1.891826 -v 0.055199 -0.010782 1.889852 -v 0.057219 -0.010490 1.889034 -v 0.059145 -0.009812 1.889852 -v 0.059848 -0.009145 1.891826 -v 0.062668 -0.022517 1.896892 -v 0.060678 -0.022878 1.897721 -v 0.058774 -0.023587 1.896917 -v 0.058070 -0.024229 1.894950 -v 0.058979 -0.024428 1.892973 -v 0.060969 -0.024068 1.892143 -v 0.062873 -0.023359 1.892947 -v 0.063577 -0.022717 1.894914 -v 0.066426 -0.036180 1.899988 -v 0.064424 -0.036440 1.900789 -v 0.062520 -0.037095 1.899978 -v 0.061828 -0.037762 1.898030 -v 0.062754 -0.038050 1.896088 -v 0.064756 -0.037790 1.895287 -v 0.066661 -0.037135 1.896098 -v 0.067353 -0.036468 1.898046 -v 0.069337 -0.051471 1.904432 -v 0.067296 -0.051418 1.905132 -v 0.065377 -0.051906 1.904276 -v 0.064702 -0.052649 1.902365 -v 0.065668 -0.053211 1.900519 -v 0.067709 -0.053263 1.899819 -v 0.069628 -0.052775 1.900675 -v 0.070303 -0.052033 1.902586 -v 0.069304 -0.066043 1.910528 -v 0.067270 -0.065678 1.911096 -v 0.065359 -0.065997 1.910178 -v 0.064690 -0.066813 1.908312 -v 0.065657 -0.067649 1.906591 -v 0.067691 -0.068015 1.906022 -v 0.069602 -0.067696 1.906940 -v 0.070271 -0.066879 1.908806 -v 0.067967 -0.078681 1.916764 -v 0.065943 -0.078460 1.917392 -v 0.064043 -0.078874 1.916523 -v 0.063379 -0.079681 1.914667 -v 0.064340 -0.080407 1.912910 -v 0.066364 -0.080627 1.912282 -v 0.068264 -0.080213 1.913151 -v 0.068928 -0.079407 1.915008 -v 0.069999 -0.092790 1.921840 -v 0.068090 -0.093169 1.922671 -v 0.066264 -0.093942 1.921933 -v 0.065589 -0.094655 1.920058 -v 0.066462 -0.094891 1.918145 -v 0.068371 -0.094512 1.917314 -v 0.070198 -0.093739 1.918052 -v 0.070872 -0.093026 1.919927 -v 0.076630 -0.106251 1.924095 -v 0.074998 -0.107195 1.925026 -v 0.073344 -0.108306 1.924356 -v 0.072635 -0.108931 1.922478 -v 0.073288 -0.108706 1.920492 -v 0.074919 -0.107761 1.919562 -v 0.076574 -0.106651 1.920232 -v 0.077283 -0.106025 1.922110 -v 0.085337 -0.117281 1.924197 -v 0.083861 -0.118425 1.925133 -v 0.082305 -0.119654 1.924474 -v 0.081582 -0.120247 1.922607 -v 0.082114 -0.119858 1.920625 -v 0.083589 -0.118714 1.919690 -v 0.085145 -0.117486 1.920348 -v 0.085868 -0.116892 1.922215 -v 0.095086 -0.129845 1.924405 -v 0.093518 -0.130841 1.925328 -v 0.091911 -0.131976 1.924671 -v 0.091206 -0.132585 1.922817 -v 0.091816 -0.132311 1.920853 -v 0.093384 -0.131314 1.919929 -v 0.094991 -0.130179 1.920587 -v 0.095696 -0.129570 1.922441 -v 0.132212 0.107186 1.868937 -v 0.134249 0.106663 1.869808 -v 0.136290 0.106160 1.868937 -v 0.137141 0.105970 1.866835 -v 0.136302 0.106205 1.864732 -v 0.134265 0.106728 1.863861 -v 0.132223 0.107232 1.864732 -v 0.131373 0.107422 1.866835 -v 0.136697 0.124950 1.869129 -v 0.138721 0.124430 1.869994 -v 0.140749 0.123930 1.869129 -v 0.141594 0.123741 1.867040 -v 0.140760 0.123975 1.864951 -v 0.138737 0.124494 1.864085 -v 0.136708 0.124995 1.864951 -v 0.135864 0.125183 1.867040 -v 0.141182 0.142713 1.869320 -v 0.143193 0.142197 1.870180 -v 0.145208 0.141700 1.869320 -v 0.146047 0.141512 1.867245 -v 0.145219 0.141745 1.865169 -v 0.143209 0.142261 1.864310 -v 0.141194 0.142758 1.865169 -v 0.140354 0.142945 1.867245 -v 0.146198 0.162585 1.869535 -v 0.148195 0.162072 1.870389 -v 0.150197 0.161578 1.869535 -v 0.151031 0.161392 1.867474 -v 0.150208 0.161623 1.865412 -v 0.148211 0.162135 1.864558 -v 0.146210 0.162629 1.865412 -v 0.145376 0.162816 1.867474 -v -0.112338 -0.003968 2.019319 -v -0.110287 -0.003887 2.019822 -v -0.108674 -0.002620 2.019319 -v -0.108443 -0.000907 2.018103 -v -0.109729 0.000247 2.016887 -v -0.111779 0.000166 2.016384 -v -0.113393 -0.001101 2.016887 -v -0.113624 -0.002814 2.018103 -v -0.115834 0.004636 2.029836 -v -0.113816 0.004767 2.030401 -v -0.112214 0.006029 2.029905 -v -0.111966 0.007684 2.028636 -v -0.113217 0.008762 2.027340 -v -0.115235 0.008631 2.026775 -v -0.116837 0.007368 2.027272 -v -0.117085 0.005714 2.028540 -v -0.119302 0.013165 2.040257 -v -0.117270 0.013225 2.040727 -v -0.115677 0.014475 2.040228 -v -0.115455 0.016185 2.039053 -v -0.116734 0.017351 2.037889 -v -0.118766 0.017291 2.037419 -v -0.120359 0.016041 2.037918 -v -0.120581 0.014332 2.039093 -v -0.121599 0.021279 2.053014 -v -0.119537 0.021150 2.053173 -v -0.117946 0.022360 2.052624 -v -0.117758 0.024200 2.051688 -v -0.119085 0.025593 2.050914 -v -0.121147 0.025722 2.050755 -v -0.122738 0.024512 2.051304 -v -0.122926 0.022672 2.052240 -v -0.120522 0.026859 2.066806 -v -0.118489 0.026586 2.066621 -v -0.116911 0.027761 2.066011 -v -0.116713 0.029696 2.065335 -v -0.118010 0.031258 2.064988 -v -0.120043 0.031531 2.065174 -v -0.121621 0.030356 2.065783 -v -0.121819 0.028421 2.066460 -v -0.117986 0.030350 2.079748 -v -0.115953 0.030123 2.079700 -v -0.114373 0.031334 2.079226 -v -0.114171 0.033273 2.078605 -v -0.115466 0.034805 2.078200 -v -0.117499 0.035032 2.078248 -v -0.119079 0.033821 2.078722 -v -0.119281 0.031882 2.079343 -v -0.119043 0.035296 2.093442 -v -0.117089 0.035299 2.094003 -v -0.115554 0.036624 2.093857 -v -0.115337 0.038494 2.093090 -v -0.116566 0.039814 2.092152 -v -0.118520 0.039811 2.091591 -v -0.120055 0.038486 2.091737 -v -0.120272 0.036616 2.092503 -v -0.125258 0.041605 2.105061 -v -0.123577 0.041882 2.106146 -v -0.122192 0.043346 2.106285 -v -0.121915 0.045139 2.105397 -v -0.122907 0.046211 2.104003 -v -0.124589 0.045934 2.102919 -v -0.125974 0.044471 2.102780 -v -0.126251 0.042678 2.103667 -v -0.133900 0.047585 2.113611 -v -0.132379 0.047973 2.114862 -v -0.131089 0.049490 2.115099 -v -0.130784 0.051250 2.114184 -v -0.131644 0.052220 2.112652 -v -0.133164 0.051833 2.111402 -v -0.134455 0.050315 2.111165 -v -0.134760 0.048555 2.112080 -v -0.143545 0.054341 2.123383 -v -0.141930 0.054649 2.124509 -v -0.140588 0.056113 2.124678 -v -0.140306 0.057875 2.123792 -v -0.141248 0.058904 2.122369 -v -0.142864 0.058596 2.121243 -v -0.144206 0.057132 2.121073 -v -0.144488 0.055370 2.121960 -v -0.153039 -0.030742 2.044156 -v -0.154182 -0.028916 2.045036 -v -0.155086 -0.026960 2.044156 -v -0.155220 -0.026020 2.042031 -v -0.154507 -0.026647 2.039906 -v -0.153364 -0.028473 2.039026 -v -0.152461 -0.030429 2.039906 -v -0.152326 -0.031368 2.042031 -v -0.166451 -0.038307 2.041163 -v -0.167649 -0.036527 2.042025 -v -0.168551 -0.034586 2.041150 -v -0.168629 -0.033622 2.039050 -v -0.167838 -0.034199 2.036955 -v -0.166640 -0.035979 2.036093 -v -0.165738 -0.037919 2.036968 -v -0.165659 -0.038884 2.039068 -v -0.179776 -0.045824 2.038187 -v -0.180879 -0.044008 2.039060 -v -0.181770 -0.042077 2.038191 -v -0.181925 -0.041161 2.036090 -v -0.181255 -0.041798 2.033987 -v -0.180151 -0.043614 2.033114 -v -0.179261 -0.045545 2.033983 -v -0.179106 -0.046461 2.036084 -v -0.195146 -0.053490 2.036698 -v -0.196033 -0.051583 2.037583 -v -0.196902 -0.049656 2.036722 -v -0.197244 -0.048839 2.034618 -v -0.196858 -0.049610 2.032505 -v -0.195970 -0.051517 2.031620 -v -0.195101 -0.053444 2.032481 -v -0.194760 -0.054261 2.034585 -v -0.210466 -0.059875 2.037635 -v -0.211131 -0.057889 2.038502 -v -0.211978 -0.055968 2.037646 -v -0.212512 -0.055238 2.035566 -v -0.212419 -0.056127 2.033482 -v -0.211754 -0.058113 2.032614 -v -0.210907 -0.060034 2.033471 -v -0.210373 -0.060764 2.035551 -v -0.224376 -0.064828 2.040108 -v -0.224946 -0.062821 2.040956 -v -0.225781 -0.060910 2.040104 -v -0.226392 -0.060216 2.038051 -v -0.226422 -0.061144 2.035999 -v -0.225852 -0.063151 2.035150 -v -0.225017 -0.065062 2.036002 -v -0.224406 -0.065756 2.038056 -v -0.240092 -0.070464 2.042830 -v -0.240721 -0.068494 2.043683 -v -0.241555 -0.066597 2.042838 -v -0.242106 -0.065886 2.040788 -v -0.242050 -0.066777 2.038737 -v -0.241420 -0.068748 2.037884 -v -0.240586 -0.070644 2.038729 -v -0.240036 -0.071355 2.040778 -v -0.119523 0.038068 2.094551 -v -0.117964 0.037215 2.095277 -v -0.116312 0.036561 2.094551 -v -0.115533 0.036489 2.092797 -v -0.116086 0.037042 2.091043 -v -0.117645 0.037895 2.090317 -v -0.119297 0.038550 2.091043 -v -0.120075 0.038621 2.092797 -v -0.112200 0.053638 2.097147 -v -0.110652 0.052790 2.097868 -v -0.109010 0.052140 2.097147 -v -0.108237 0.052069 2.095404 -v -0.108785 0.052619 2.093662 -v -0.110334 0.053467 2.092940 -v -0.111976 0.054116 2.093662 -v -0.112749 0.054188 2.095404 -v -0.104878 0.069208 2.099742 -v -0.103339 0.068366 2.100459 -v -0.101708 0.067720 2.099742 -v -0.100940 0.067650 2.098011 -v -0.101485 0.068195 2.096281 -v -0.103024 0.069038 2.095564 -v -0.104655 0.069683 2.096281 -v -0.105422 0.069754 2.098011 -v -0.096687 0.086627 2.102648 -v -0.095159 0.085790 2.103360 -v -0.093539 0.085148 2.102648 -v -0.092776 0.085078 2.100928 -v -0.093317 0.085620 2.099209 -v -0.094845 0.086457 2.098497 -v -0.096466 0.087098 2.099209 -v -0.097228 0.087169 2.100928 -v 0.016934 -0.001676 2.112372 -v 0.017367 -0.004406 2.113101 -v 0.019264 -0.006415 2.112372 -v 0.021513 -0.006528 2.110612 -v 0.022797 -0.004678 2.108853 -v 0.022364 -0.001948 2.108124 -v 0.020467 0.000061 2.108853 -v 0.018218 0.000174 2.110612 -v 0.029087 0.004596 2.126421 -v 0.029568 0.001909 2.127207 -v 0.031449 -0.000091 2.126477 -v 0.033627 -0.000231 2.124660 -v 0.034827 0.001569 2.122819 -v 0.034346 0.004256 2.122034 -v 0.032465 0.006255 2.122764 -v 0.030287 0.006396 2.124581 -v 0.041136 0.010816 2.140345 -v 0.041545 0.008110 2.141040 -v 0.043420 0.006127 2.140322 -v 0.045664 0.006026 2.138613 -v 0.046962 0.007868 2.136912 -v 0.046553 0.010573 2.136218 -v 0.044678 0.012557 2.136935 -v 0.042434 0.012657 2.138645 -v 0.053091 0.016061 2.157319 -v 0.053305 0.013294 2.157724 -v 0.055173 0.011324 2.157018 -v 0.057601 0.011306 2.155614 -v 0.059168 0.013250 2.154336 -v 0.058954 0.016018 2.153931 -v 0.057086 0.017987 2.154637 -v 0.054658 0.018005 2.156041 -v 0.061944 0.017679 2.176079 -v 0.061996 0.014893 2.176156 -v 0.063856 0.012936 2.175460 -v 0.066433 0.012955 2.174398 -v 0.068218 0.014938 2.173593 -v 0.068166 0.017724 2.173515 -v 0.066306 0.019681 2.174211 -v 0.063729 0.019662 2.175273 -v 0.068363 0.017425 2.194089 -v 0.068468 0.014665 2.194291 -v 0.070338 0.012724 2.193653 -v 0.072879 0.012740 2.192550 -v 0.074601 0.014703 2.191628 -v 0.074497 0.017463 2.191426 -v 0.072626 0.019404 2.192063 -v 0.070086 0.019388 2.193166 -v 0.077881 0.021099 2.212396 -v 0.078296 0.018491 2.213170 -v 0.080218 0.016590 2.212653 -v 0.082520 0.016510 2.211147 -v 0.083854 0.018297 2.209534 -v 0.083439 0.020905 2.208760 -v 0.081517 0.022806 2.209277 -v 0.079215 0.022887 2.210783 -v 0.090116 0.030510 2.226559 -v 0.090910 0.028202 2.227792 -v 0.092898 0.026372 2.227374 -v 0.094916 0.026092 2.225550 -v 0.095781 0.027525 2.223389 -v 0.094987 0.029833 2.222155 -v 0.092999 0.031663 2.222573 -v 0.090981 0.031944 2.224397 -v 0.102157 0.041926 2.236177 -v 0.103025 0.039702 2.237474 -v 0.104991 0.037876 2.237050 -v 0.106903 0.037516 2.235154 -v 0.107641 0.038834 2.232896 -v 0.106773 0.041058 2.231599 -v 0.104808 0.042885 2.232023 -v 0.102896 0.043245 2.233919 -v 0.115746 0.052940 2.248128 -v 0.116374 0.050545 2.249203 -v 0.118216 0.048643 2.248682 -v 0.120195 0.048348 2.246869 -v 0.121150 0.049833 2.244828 -v 0.120522 0.052228 2.243752 -v 0.118679 0.054130 2.244274 -v 0.116701 0.054425 2.246086 -v 0.129032 0.060734 2.262379 -v 0.129428 0.058215 2.263209 -v 0.131150 0.056259 2.262578 -v 0.133189 0.056011 2.260855 -v 0.134351 0.057617 2.259049 -v 0.133956 0.060136 2.258218 -v 0.132234 0.062092 2.258850 -v 0.130194 0.062340 2.260573 -v 0.140880 0.066130 2.275875 -v 0.141199 0.063591 2.276617 -v 0.142869 0.061628 2.275944 -v 0.144911 0.061390 2.274250 -v 0.146129 0.063016 2.272527 -v 0.145809 0.065554 2.271785 -v 0.144139 0.067518 2.272458 -v 0.142097 0.067756 2.274152 -v 0.154156 0.072246 2.290967 -v 0.154525 0.069749 2.291763 -v 0.156212 0.067813 2.291126 -v 0.158229 0.067571 2.289431 -v 0.159395 0.069165 2.287669 -v 0.159026 0.071661 2.286874 -v 0.157338 0.073598 2.287510 -v 0.155321 0.073840 2.289206 -v -0.031277 0.037606 2.381355 -v -0.026687 0.037694 2.381995 -v -0.023348 0.040846 2.381355 -v -0.023217 0.045214 2.379811 -v -0.026370 0.048242 2.378267 -v -0.030960 0.048154 2.377628 -v -0.034299 0.045002 2.378267 -v -0.034430 0.040634 2.379811 -v -0.033246 0.042499 2.394923 -v -0.028686 0.042587 2.395558 -v -0.025369 0.045717 2.394923 -v -0.025238 0.050058 2.393389 -v -0.028370 0.053065 2.391855 -v -0.032931 0.052978 2.391220 -v -0.036248 0.049847 2.391855 -v -0.036378 0.045507 2.393389 -v -0.035215 0.047392 2.408490 -v -0.030684 0.047479 2.409121 -v -0.027389 0.050589 2.408490 -v -0.027259 0.054901 2.406966 -v -0.030371 0.057888 2.405442 -v -0.034901 0.057802 2.404811 -v -0.038197 0.054691 2.405442 -v -0.038326 0.050380 2.406966 -v -0.037419 0.052861 2.423669 -v -0.032918 0.052948 2.424296 -v -0.029645 0.056037 2.423669 -v -0.029516 0.060320 2.422155 -v -0.032607 0.063288 2.420641 -v -0.037108 0.063202 2.420014 -v -0.040381 0.060112 2.420641 -v -0.040510 0.055829 2.422155 -v 0.221621 0.158231 0.757813 -v 0.221861 0.155726 0.758631 -v 0.223230 0.153614 0.757813 -v 0.224926 0.153132 0.755839 -v 0.225955 0.154563 0.753865 -v 0.225714 0.157068 0.753048 -v 0.224346 0.159180 0.753865 -v 0.222650 0.159662 0.755839 -v 0.224710 0.159028 0.759810 -v 0.224924 0.156793 0.760539 -v 0.226146 0.154909 0.759810 -v 0.227658 0.154479 0.758049 -v 0.228576 0.155756 0.756288 -v 0.228362 0.157991 0.755559 -v 0.227141 0.159875 0.756288 -v 0.225628 0.160305 0.758049 -v 0.227799 0.159825 0.761807 -v 0.227988 0.157860 0.762448 -v 0.229061 0.156204 0.761807 -v 0.230391 0.155827 0.760259 -v 0.231198 0.156949 0.758711 -v 0.231009 0.158913 0.758070 -v 0.229936 0.160570 0.758711 -v 0.228606 0.160947 0.760259 -v 0.231269 0.160754 0.764097 -v 0.231415 0.159054 0.764638 -v 0.232310 0.157616 0.764061 -v 0.233429 0.157281 0.762706 -v 0.234116 0.158246 0.761365 -v 0.233970 0.159945 0.760824 -v 0.233075 0.161384 0.761400 -v 0.231956 0.161719 0.762756 -v 0.234743 0.161525 0.766212 -v 0.234850 0.160091 0.766655 -v 0.235573 0.158873 0.766148 -v 0.236487 0.158583 0.764989 -v 0.237057 0.159392 0.763857 -v 0.236950 0.160825 0.763414 -v 0.236228 0.162044 0.763920 -v 0.235313 0.162333 0.765079 -v 0.237746 0.162134 0.767964 -v 0.237867 0.160984 0.768349 -v 0.238516 0.160018 0.767987 -v 0.239313 0.159802 0.767091 -v 0.239792 0.160463 0.766186 -v 0.239671 0.161613 0.765802 -v 0.239022 0.162579 0.766163 -v 0.238225 0.162795 0.767059 -v 0.240674 0.163176 0.770176 -v 0.240821 0.162321 0.770520 -v 0.241423 0.161631 0.770338 -v 0.242126 0.161510 0.769738 -v 0.242520 0.162029 0.769070 -v 0.242373 0.162884 0.768725 -v 0.241772 0.163574 0.768907 -v 0.241068 0.163695 0.769507 -v 0.243157 0.164678 0.772733 -v 0.243290 0.164108 0.773010 -v 0.243767 0.163673 0.772957 -v 0.244309 0.163629 0.772605 -v 0.244598 0.164000 0.772160 -v 0.244465 0.164570 0.771883 -v 0.243988 0.165005 0.771936 -v 0.243446 0.165049 0.772288 -v 0.245074 0.166341 0.775257 -v 0.245155 0.166028 0.775421 -v 0.245433 0.165798 0.775409 -v 0.245747 0.165783 0.775228 -v 0.245911 0.165994 0.774984 -v 0.245831 0.166307 0.774820 -v 0.245552 0.166538 0.774832 -v 0.245239 0.166552 0.775012 -v 0.247240 0.168249 0.778150 -v 0.247256 0.168182 0.778183 -v 0.247313 0.168131 0.778178 -v 0.247378 0.168126 0.778137 -v 0.247412 0.168170 0.778085 -v 0.247396 0.168237 0.778052 -v 0.247339 0.168288 0.778057 -v 0.247274 0.168293 0.778098 -v 0.232474 0.012768 0.683161 -v 0.232231 0.010892 0.683913 -v 0.231594 0.009111 0.683161 -v 0.230936 0.008468 0.681345 -v 0.230644 0.009340 0.679528 -v 0.230887 0.011216 0.678776 -v 0.231524 0.012997 0.679528 -v 0.232181 0.013640 0.681345 -v 0.235306 0.011880 0.682156 -v 0.235089 0.010204 0.682828 -v 0.234520 0.008614 0.682156 -v 0.233933 0.008039 0.680534 -v 0.233671 0.008818 0.678912 -v 0.233889 0.010493 0.678240 -v 0.234458 0.012084 0.678912 -v 0.235044 0.012658 0.680534 -v 0.238138 0.010991 0.681151 -v 0.237947 0.009517 0.681743 -v 0.237446 0.008116 0.681151 -v 0.236929 0.007611 0.679723 -v 0.236699 0.008296 0.678296 -v 0.236890 0.009771 0.677704 -v 0.237391 0.011171 0.678296 -v 0.237908 0.011677 0.679723 -v 0.241318 0.010019 0.680050 -v 0.241152 0.008745 0.680561 -v 0.240720 0.007535 0.680050 -v 0.240273 0.007098 0.678817 -v 0.240075 0.007691 0.677583 -v 0.240240 0.008965 0.677072 -v 0.240672 0.010175 0.677583 -v 0.241119 0.010611 0.678817 -v 0.244381 0.009075 0.678981 -v 0.244242 0.008002 0.679412 -v 0.243878 0.006982 0.678981 -v 0.243502 0.006614 0.677942 -v 0.243334 0.007113 0.676903 -v 0.243473 0.008187 0.676472 -v 0.243838 0.009206 0.676903 -v 0.244214 0.009574 0.677942 -v 0.247098 0.008215 0.678009 -v 0.246984 0.007342 0.678359 -v 0.246688 0.006513 0.678009 -v 0.246382 0.006213 0.677163 -v 0.246246 0.006619 0.676318 -v 0.246359 0.007492 0.675968 -v 0.246655 0.008321 0.676318 -v 0.246961 0.008620 0.677163 -v 0.250161 0.007270 0.676940 -v 0.250074 0.006598 0.677209 -v 0.249846 0.005960 0.676940 -v 0.249610 0.005729 0.676289 -v 0.249505 0.006042 0.675638 -v 0.249593 0.006714 0.675368 -v 0.249821 0.007352 0.675638 -v 0.250056 0.007583 0.676289 -v 0.253225 0.006326 0.675871 -v 0.253164 0.005854 0.676060 -v 0.253004 0.005407 0.675871 -v 0.252839 0.005245 0.675414 -v 0.252765 0.005464 0.674957 -v 0.252826 0.005936 0.674768 -v 0.252986 0.006384 0.674957 -v 0.253152 0.006545 0.675414 -v 0.255941 0.005466 0.674898 -v 0.255906 0.005195 0.675007 -v 0.255814 0.004937 0.674898 -v 0.255719 0.004844 0.674635 -v 0.255677 0.004970 0.674373 -v 0.255712 0.005241 0.674264 -v 0.255804 0.005499 0.674373 -v 0.255899 0.005592 0.674635 -v 0.259005 0.004521 0.673829 -v 0.258996 0.004451 0.673857 -v 0.258972 0.004384 0.673829 -v 0.258947 0.004360 0.673761 -v 0.258936 0.004393 0.673692 -v 0.258945 0.004463 0.673664 -v 0.258969 0.004530 0.673692 -v 0.258994 0.004554 0.673761 -v 0.123102 0.189139 0.669603 -v 0.125207 0.189291 0.670437 -v 0.127291 0.188958 0.669603 -v 0.128134 0.188335 0.667590 -v 0.127241 0.187787 0.665577 -v 0.125135 0.187635 0.664743 -v 0.123051 0.187968 0.665577 -v 0.122209 0.188591 0.667590 -v 0.123609 0.192270 0.668391 -v 0.125484 0.192340 0.669155 -v 0.127338 0.191950 0.668439 -v 0.128086 0.191330 0.666661 -v 0.127289 0.190842 0.664864 -v 0.125414 0.190773 0.664100 -v 0.123560 0.191162 0.664816 -v 0.122812 0.191783 0.666594 -v 0.124100 0.195141 0.667257 -v 0.125754 0.195284 0.667905 -v 0.127392 0.195055 0.667241 -v 0.128054 0.194589 0.665653 -v 0.127353 0.194159 0.664072 -v 0.125699 0.194016 0.663424 -v 0.124062 0.194244 0.664089 -v 0.123399 0.194710 0.665676 -v 0.124199 0.198280 0.666218 -v 0.125618 0.198572 0.666735 -v 0.127020 0.198609 0.666103 -v 0.127584 0.198371 0.664691 -v 0.126979 0.197996 0.663327 -v 0.125559 0.197705 0.662810 -v 0.124157 0.197667 0.663442 -v 0.123594 0.197906 0.664854 -v 0.123759 0.201366 0.665424 -v 0.124924 0.201754 0.665833 -v 0.126064 0.201985 0.665264 -v 0.126510 0.201924 0.664050 -v 0.126001 0.201607 0.662902 -v 0.124836 0.201218 0.662493 -v 0.123696 0.200987 0.663063 -v 0.123250 0.201048 0.664277 -v 0.122973 0.204239 0.664837 -v 0.123905 0.204601 0.665162 -v 0.124809 0.204856 0.664691 -v 0.125157 0.204852 0.663699 -v 0.124744 0.204594 0.662767 -v 0.123812 0.204231 0.662442 -v 0.122908 0.203977 0.662913 -v 0.122560 0.203980 0.663905 -v 0.122041 0.207597 0.664180 -v 0.122761 0.207862 0.664432 -v 0.123462 0.208038 0.664072 -v 0.123733 0.208023 0.663312 -v 0.123416 0.207824 0.662596 -v 0.122696 0.207559 0.662345 -v 0.121995 0.207383 0.662704 -v 0.121723 0.207398 0.663465 -v 0.121254 0.210958 0.663460 -v 0.121759 0.211134 0.663637 -v 0.122252 0.211246 0.663388 -v 0.122445 0.211226 0.662858 -v 0.122223 0.211088 0.662358 -v 0.121718 0.210911 0.662182 -v 0.121224 0.210800 0.662431 -v 0.121032 0.210819 0.662961 -v 0.120582 0.213934 0.662796 -v 0.120869 0.214034 0.662897 -v 0.121149 0.214097 0.662755 -v 0.121258 0.214086 0.662454 -v 0.121133 0.214008 0.662170 -v 0.120846 0.213907 0.662070 -v 0.120566 0.213844 0.662212 -v 0.120456 0.213855 0.662512 -v 0.119802 0.217274 0.662079 -v 0.119870 0.217298 0.662103 -v 0.119937 0.217313 0.662069 -v 0.119963 0.217311 0.661997 -v 0.119933 0.217292 0.661929 -v 0.119865 0.217268 0.661905 -v 0.119798 0.217253 0.661939 -v 0.119772 0.217255 0.662011 -v -0.126915 0.216406 0.697430 -v -0.125232 0.218183 0.698438 -v -0.123692 0.220084 0.697430 -v -0.123197 0.220996 0.694996 -v -0.124036 0.220385 0.692562 -v -0.125719 0.218609 0.691554 -v -0.127259 0.216708 0.692562 -v -0.127754 0.215795 0.694996 -v -0.129546 0.219063 0.697516 -v -0.128045 0.220647 0.698415 -v -0.126671 0.222343 0.697516 -v -0.126229 0.223157 0.695344 -v -0.126978 0.222612 0.693173 -v -0.128479 0.221028 0.692274 -v -0.129853 0.219332 0.693173 -v -0.130295 0.218518 0.695344 -v -0.132177 0.221719 0.697601 -v -0.130858 0.223112 0.698392 -v -0.129650 0.224603 0.697601 -v -0.129262 0.225319 0.695693 -v -0.129920 0.224840 0.693784 -v -0.131239 0.223447 0.692993 -v -0.132447 0.221956 0.693784 -v -0.132836 0.221240 0.695693 -v -0.135139 0.224666 0.697729 -v -0.134001 0.225867 0.698410 -v -0.132960 0.227153 0.697729 -v -0.132625 0.227770 0.696082 -v -0.133193 0.227357 0.694436 -v -0.134330 0.226155 0.693754 -v -0.135372 0.224869 0.694436 -v -0.135707 0.224252 0.696082 -v -0.137991 0.227515 0.697842 -v -0.137035 0.228525 0.698415 -v -0.136159 0.229605 0.697842 -v -0.135878 0.230124 0.696458 -v -0.136355 0.229777 0.695075 -v -0.137311 0.228767 0.694502 -v -0.138187 0.227687 0.695075 -v -0.138468 0.227168 0.696458 -v -0.140512 0.230075 0.697914 -v -0.139737 0.230893 0.698378 -v -0.139028 0.231769 0.697914 -v -0.138800 0.232189 0.696793 -v -0.139186 0.231907 0.695672 -v -0.139961 0.231089 0.695208 -v -0.140670 0.230214 0.695672 -v -0.140899 0.229794 0.696793 -v -0.143364 0.232925 0.698027 -v -0.142770 0.233551 0.698382 -v -0.142227 0.234221 0.698027 -v -0.142053 0.234543 0.697169 -v -0.142349 0.234328 0.696310 -v -0.142942 0.233701 0.695955 -v -0.143485 0.233031 0.696310 -v -0.143660 0.232709 0.697169 -v -0.146215 0.235774 0.698140 -v -0.145804 0.236209 0.698387 -v -0.145427 0.236674 0.698140 -v -0.145306 0.236898 0.697545 -v -0.145511 0.236748 0.696949 -v -0.145923 0.236313 0.696702 -v -0.146300 0.235848 0.696949 -v -0.146421 0.235625 0.697545 -v -0.148736 0.238334 0.698212 -v -0.148506 0.238577 0.698350 -v -0.148296 0.238837 0.698212 -v -0.148228 0.238962 0.697879 -v -0.148343 0.238879 0.697546 -v -0.148573 0.238636 0.697408 -v -0.148784 0.238376 0.697546 -v -0.148851 0.238251 0.697879 -v -0.151588 0.241184 0.698325 -v -0.151540 0.241235 0.698354 -v -0.151495 0.241290 0.698325 -v -0.151481 0.241317 0.698255 -v -0.151505 0.241299 0.698185 -v -0.151554 0.241248 0.698155 -v -0.151598 0.241193 0.698185 -v -0.151613 0.241166 0.698255 -v 0.050147 0.209295 0.698244 -v 0.052036 0.209198 0.699019 -v 0.053903 0.208891 0.698244 -v 0.054654 0.208555 0.696373 -v 0.053848 0.208386 0.694501 -v 0.051959 0.208483 0.693726 -v 0.050092 0.208789 0.694501 -v 0.049342 0.209126 0.696373 -v 0.050703 0.212583 0.697588 -v 0.052390 0.212497 0.698281 -v 0.054058 0.212223 0.697588 -v 0.054728 0.211922 0.695917 -v 0.054009 0.211771 0.694245 -v 0.052322 0.211858 0.693553 -v 0.050655 0.212132 0.694245 -v 0.049984 0.212432 0.695917 -v 0.051260 0.215872 0.696932 -v 0.052745 0.215795 0.697542 -v 0.054212 0.215554 0.696932 -v 0.054803 0.215290 0.695461 -v 0.054170 0.215157 0.693989 -v 0.052685 0.215233 0.693380 -v 0.051217 0.215474 0.693989 -v 0.050627 0.215739 0.695461 -v 0.051859 0.219556 0.696222 -v 0.053142 0.219490 0.696749 -v 0.054410 0.219282 0.696222 -v 0.054920 0.219054 0.694951 -v 0.054373 0.218939 0.693680 -v 0.053090 0.219005 0.693153 -v 0.051822 0.219213 0.693680 -v 0.051312 0.219441 0.694951 -v 0.052444 0.223109 0.695530 -v 0.053525 0.223053 0.695974 -v 0.054593 0.222878 0.695530 -v 0.055023 0.222685 0.694459 -v 0.054562 0.222589 0.693388 -v 0.053481 0.222644 0.692944 -v 0.052413 0.222820 0.693388 -v 0.051983 0.223012 0.694459 -v 0.052986 0.226265 0.694892 -v 0.053865 0.226220 0.695253 -v 0.054734 0.226077 0.694892 -v 0.055083 0.225921 0.694021 -v 0.054708 0.225842 0.693150 -v 0.053829 0.225887 0.692790 -v 0.052961 0.226030 0.693150 -v 0.052612 0.226187 0.694021 -v 0.053571 0.229818 0.694200 -v 0.054248 0.229783 0.694478 -v 0.054917 0.229673 0.694200 -v 0.055186 0.229553 0.693529 -v 0.054897 0.229492 0.692859 -v 0.054221 0.229527 0.692581 -v 0.053552 0.229637 0.692859 -v 0.053283 0.229757 0.693529 -v 0.054156 0.233370 0.693508 -v 0.054631 0.233346 0.693703 -v 0.055100 0.233269 0.693508 -v 0.055289 0.233184 0.693037 -v 0.055086 0.233142 0.692567 -v 0.054612 0.233166 0.692372 -v 0.054142 0.233243 0.692567 -v 0.053954 0.233328 0.693037 -v 0.054698 0.236527 0.692870 -v 0.054971 0.236513 0.692982 -v 0.055241 0.236468 0.692870 -v 0.055349 0.236420 0.692600 -v 0.055233 0.236395 0.692329 -v 0.054960 0.236409 0.692217 -v 0.054691 0.236454 0.692329 -v 0.054582 0.236502 0.692600 -v 0.055283 0.240079 0.692178 -v 0.055354 0.240076 0.692207 -v 0.055424 0.240064 0.692178 -v 0.055452 0.240051 0.692108 -v 0.055422 0.240045 0.692038 -v 0.055351 0.240049 0.692009 -v 0.055281 0.240060 0.692038 -v 0.055253 0.240073 0.692108 -v 0.154642 0.153904 0.761855 -v 0.154484 0.151965 0.762482 -v 0.155249 0.150175 0.761855 -v 0.156489 0.149584 0.760340 -v 0.157477 0.150538 0.758826 -v 0.157635 0.152477 0.758198 -v 0.156870 0.154267 0.758826 -v 0.155631 0.154858 0.760340 -v 0.156221 0.153956 0.762770 -v 0.156080 0.152224 0.763331 -v 0.156763 0.150626 0.762770 -v 0.157870 0.150098 0.761418 -v 0.158752 0.150950 0.760065 -v 0.158894 0.152682 0.759505 -v 0.158211 0.154280 0.760065 -v 0.157104 0.154808 0.761418 -v 0.157800 0.154008 0.763686 -v 0.157675 0.152484 0.764179 -v 0.158276 0.151077 0.763686 -v 0.159251 0.150613 0.762495 -v 0.160028 0.151362 0.761304 -v 0.160152 0.152887 0.760811 -v 0.159551 0.154293 0.761304 -v 0.158577 0.154758 0.762495 -v 0.159548 0.154088 0.764729 -v 0.159440 0.152771 0.765155 -v 0.159959 0.151556 0.764729 -v 0.160801 0.151154 0.763700 -v 0.161473 0.151802 0.762671 -v 0.161580 0.153119 0.762245 -v 0.161061 0.154334 0.762671 -v 0.160219 0.154735 0.763700 -v 0.161239 0.154158 0.765729 -v 0.161149 0.153049 0.766088 -v 0.161586 0.152025 0.765729 -v 0.162295 0.151687 0.764863 -v 0.162861 0.152232 0.763996 -v 0.162951 0.153342 0.763637 -v 0.162514 0.154366 0.763996 -v 0.161805 0.154704 0.764863 -v 0.162761 0.154201 0.766602 -v 0.162688 0.153299 0.766894 -v 0.163043 0.152467 0.766602 -v 0.163620 0.152192 0.765897 -v 0.164080 0.152635 0.765193 -v 0.164153 0.153537 0.764901 -v 0.163798 0.154370 0.765193 -v 0.163221 0.154645 0.765897 -v 0.164453 0.154272 0.767603 -v 0.164396 0.153577 0.767827 -v 0.164670 0.152936 0.767603 -v 0.165114 0.152724 0.767060 -v 0.165468 0.153066 0.766517 -v 0.165525 0.153760 0.766292 -v 0.165251 0.154402 0.766517 -v 0.164807 0.154613 0.767060 -v 0.166144 0.154342 0.768603 -v 0.166104 0.153855 0.768761 -v 0.166297 0.153405 0.768603 -v 0.166608 0.153256 0.768222 -v 0.166856 0.153496 0.767842 -v 0.166896 0.153984 0.767684 -v 0.166704 0.154433 0.767842 -v 0.166393 0.154582 0.768222 -v 0.167666 0.154385 0.769476 -v 0.167643 0.154105 0.769566 -v 0.167754 0.153847 0.769476 -v 0.167933 0.153761 0.769257 -v 0.168075 0.153899 0.769038 -v 0.168098 0.154179 0.768948 -v 0.167988 0.154437 0.769038 -v 0.167809 0.154523 0.769257 -v 0.169358 0.154455 0.770476 -v 0.169352 0.154383 0.770500 -v 0.169380 0.154316 0.770476 -v 0.169427 0.154294 0.770420 -v 0.169464 0.154329 0.770363 -v 0.169470 0.154402 0.770340 -v 0.169441 0.154469 0.770363 -v 0.169395 0.154491 0.770420 -v -0.080361 0.226576 0.721277 -v -0.078231 0.225655 0.722059 -v -0.075913 0.225751 0.721277 -v -0.074764 0.226807 0.719391 -v -0.075458 0.228205 0.717505 -v -0.077588 0.229126 0.716723 -v -0.079906 0.229030 0.717505 -v -0.081054 0.227974 0.719391 -v -0.079706 0.228771 0.722492 -v -0.077806 0.227950 0.723190 -v -0.075737 0.228035 0.722492 -v -0.074712 0.228978 0.720809 -v -0.075331 0.230225 0.719126 -v -0.077231 0.231046 0.718428 -v -0.079300 0.230961 0.719126 -v -0.080325 0.230018 0.720809 -v -0.079051 0.230966 0.723707 -v -0.077380 0.230244 0.724321 -v -0.075561 0.230319 0.723707 -v -0.074660 0.231148 0.722227 -v -0.075204 0.232245 0.720747 -v -0.076875 0.232967 0.720134 -v -0.078694 0.232892 0.720747 -v -0.079596 0.232063 0.722227 -v -0.078350 0.233412 0.725091 -v -0.076908 0.232789 0.725620 -v -0.075339 0.232853 0.725091 -v -0.074561 0.233569 0.723813 -v -0.075031 0.234515 0.722536 -v -0.076472 0.235138 0.722007 -v -0.078042 0.235073 0.722536 -v -0.078820 0.234358 0.723813 -v -0.077665 0.235774 0.726418 -v -0.076452 0.235250 0.726863 -v -0.075132 0.235304 0.726418 -v -0.074478 0.235906 0.725344 -v -0.074873 0.236702 0.724270 -v -0.076085 0.237226 0.723825 -v -0.077405 0.237171 0.724270 -v -0.078059 0.236570 0.725344 -v -0.077025 0.237886 0.727577 -v -0.076042 0.237461 0.727938 -v -0.074971 0.237505 0.727577 -v -0.074441 0.237993 0.726706 -v -0.074761 0.238638 0.725835 -v -0.075745 0.239063 0.725474 -v -0.076815 0.239019 0.725835 -v -0.077346 0.238531 0.726706 -v -0.076340 0.240248 0.728904 -v -0.075585 0.239922 0.729181 -v -0.074764 0.239956 0.728904 -v -0.074357 0.240330 0.728236 -v -0.074603 0.240825 0.727568 -v -0.075357 0.241151 0.727291 -v -0.076178 0.241117 0.727568 -v -0.076585 0.240743 0.728236 -v -0.075654 0.242610 0.730231 -v -0.075129 0.242383 0.730424 -v -0.074557 0.242407 0.730231 -v -0.074274 0.242667 0.729766 -v -0.074445 0.243012 0.729301 -v -0.074970 0.243239 0.729109 -v -0.075542 0.243215 0.729301 -v -0.075825 0.242955 0.729766 -v -0.075015 0.244722 0.731390 -v -0.074719 0.244594 0.731499 -v -0.074397 0.244607 0.731390 -v -0.074237 0.244754 0.731128 -v -0.074334 0.244948 0.730866 -v -0.074630 0.245076 0.730758 -v -0.074951 0.245063 0.730866 -v -0.075111 0.244916 0.731128 -v -0.074329 0.247084 0.732718 -v -0.074262 0.247055 0.732742 -v -0.074190 0.247058 0.732718 -v -0.074154 0.247091 0.732659 -v -0.074176 0.247135 0.732600 -v -0.074242 0.247164 0.732575 -v -0.074315 0.247161 0.732600 -v -0.074351 0.247128 0.732659 -v -0.048101 -0.123901 0.744945 -v -0.048252 -0.123796 0.745020 -v -0.048415 -0.123710 0.744945 -v -0.048494 -0.123693 0.744763 -v -0.048443 -0.123756 0.744581 -v -0.048292 -0.123861 0.744506 -v -0.048129 -0.123948 0.744581 -v -0.048050 -0.123964 0.744763 -v -0.049191 -0.125658 0.745241 -v -0.049331 -0.125560 0.745311 -v -0.049483 -0.125479 0.745241 -v -0.049557 -0.125464 0.745072 -v -0.049509 -0.125522 0.744902 -v -0.049369 -0.125621 0.744832 -v -0.049217 -0.125701 0.744902 -v -0.049143 -0.125717 0.745072 -v -0.050280 -0.127414 0.745537 -v -0.050411 -0.127323 0.745602 -v -0.050551 -0.127249 0.745537 -v -0.050619 -0.127234 0.745381 -v -0.050576 -0.127289 0.745224 -v -0.050445 -0.127380 0.745159 -v -0.050305 -0.127454 0.745224 -v -0.050237 -0.127469 0.745381 -v -0.051498 -0.129380 0.745870 -v -0.051618 -0.129296 0.745930 -v -0.051747 -0.129227 0.745870 -v -0.051810 -0.129214 0.745726 -v -0.051770 -0.129264 0.745581 -v -0.051650 -0.129348 0.745521 -v -0.051521 -0.129417 0.745581 -v -0.051458 -0.129430 0.745726 -v -0.052673 -0.131276 0.746191 -v -0.052783 -0.131199 0.746246 -v -0.052901 -0.131136 0.746191 -v -0.052958 -0.131124 0.746059 -v -0.052921 -0.131170 0.745927 -v -0.052812 -0.131247 0.745872 -v -0.052694 -0.131309 0.745927 -v -0.052636 -0.131321 0.746059 -v -0.053720 -0.132962 0.746475 -v -0.053819 -0.132893 0.746525 -v -0.053926 -0.132836 0.746475 -v -0.053979 -0.132825 0.746355 -v -0.053945 -0.132867 0.746236 -v -0.053846 -0.132936 0.746186 -v -0.053739 -0.132993 0.746236 -v -0.053687 -0.133004 0.746355 -v -0.054895 -0.134858 0.746796 -v -0.054984 -0.134796 0.746840 -v -0.055080 -0.134745 0.746796 -v -0.055127 -0.134735 0.746688 -v -0.055097 -0.134772 0.746581 -v -0.055008 -0.134835 0.746537 -v -0.054912 -0.134886 0.746581 -v -0.054865 -0.134895 0.746688 -v -0.056070 -0.136754 0.747116 -v -0.056149 -0.136699 0.747155 -v -0.056234 -0.136654 0.747116 -v -0.056275 -0.136645 0.747021 -v -0.056248 -0.136678 0.746927 -v -0.056170 -0.136733 0.746887 -v -0.056085 -0.136778 0.746927 -v -0.056044 -0.136787 0.747021 -v -0.057117 -0.138441 0.747400 -v -0.057185 -0.138393 0.747434 -v -0.057259 -0.138354 0.747400 -v -0.057295 -0.138346 0.747318 -v -0.057272 -0.138375 0.747235 -v -0.057204 -0.138423 0.747201 -v -0.057130 -0.138462 0.747235 -v -0.057094 -0.138469 0.747318 -v -0.058292 -0.140337 0.747721 -v -0.058350 -0.140296 0.747750 -v -0.058413 -0.140263 0.747721 -v -0.058443 -0.140256 0.747651 -v -0.058424 -0.140281 0.747581 -v -0.058366 -0.140321 0.747552 -v -0.058303 -0.140354 0.747581 -v -0.058273 -0.140361 0.747651 -v -0.102369 -0.242077 0.765741 -v -0.104385 -0.240660 0.766707 -v -0.106687 -0.239782 0.765741 -v -0.107927 -0.239958 0.763410 -v -0.107378 -0.241084 0.761079 -v -0.105362 -0.242500 0.760113 -v -0.103060 -0.243378 0.761079 -v -0.101820 -0.243202 0.763410 -v -0.103321 -0.243307 0.765949 -v -0.105119 -0.242043 0.766811 -v -0.107173 -0.241260 0.765949 -v -0.108279 -0.241417 0.763870 -v -0.107790 -0.242421 0.761790 -v -0.105992 -0.243685 0.760929 -v -0.103938 -0.244468 0.761790 -v -0.102832 -0.244311 0.763870 -v -0.104274 -0.244537 0.766157 -v -0.105854 -0.243426 0.766914 -v -0.107660 -0.242738 0.766157 -v -0.108632 -0.242876 0.764329 -v -0.108202 -0.243758 0.762501 -v -0.106621 -0.244869 0.761744 -v -0.104816 -0.245558 0.762501 -v -0.103843 -0.245420 0.764329 -v -0.105307 -0.245920 0.766420 -v -0.106670 -0.244961 0.767073 -v -0.108227 -0.244368 0.766420 -v -0.109066 -0.244487 0.764843 -v -0.108695 -0.245248 0.763267 -v -0.107331 -0.246206 0.762614 -v -0.105774 -0.246800 0.763267 -v -0.104936 -0.246681 0.764843 -v -0.106313 -0.247251 0.766664 -v -0.107459 -0.246446 0.767213 -v -0.108767 -0.245947 0.766664 -v -0.109472 -0.246047 0.765339 -v -0.109161 -0.246687 0.764014 -v -0.108015 -0.247492 0.763465 -v -0.106706 -0.247991 0.764014 -v -0.106001 -0.247891 0.765339 -v -0.107238 -0.248431 0.766854 -v -0.108167 -0.247778 0.767299 -v -0.109227 -0.247374 0.766854 -v -0.109798 -0.247455 0.765780 -v -0.109545 -0.247973 0.764707 -v -0.108617 -0.248626 0.764262 -v -0.107557 -0.249030 0.764707 -v -0.106986 -0.248949 0.765780 -v -0.108245 -0.249762 0.767098 -v -0.108956 -0.249263 0.767439 -v -0.109767 -0.248953 0.767098 -v -0.110205 -0.249015 0.766276 -v -0.110011 -0.249412 0.765454 -v -0.109300 -0.249912 0.765114 -v -0.108489 -0.250221 0.765454 -v -0.108051 -0.250159 0.766276 -v -0.109251 -0.251094 0.767343 -v -0.109744 -0.250747 0.767579 -v -0.110308 -0.250533 0.767343 -v -0.110611 -0.250576 0.766772 -v -0.110477 -0.250851 0.766202 -v -0.109984 -0.251198 0.765965 -v -0.109420 -0.251413 0.766202 -v -0.109117 -0.251370 0.766772 -v -0.110176 -0.252274 0.767532 -v -0.110452 -0.252080 0.767664 -v -0.110767 -0.251960 0.767532 -v -0.110937 -0.251984 0.767213 -v -0.110862 -0.252138 0.766894 -v -0.110586 -0.252332 0.766762 -v -0.110271 -0.252452 0.766894 -v -0.110101 -0.252428 0.767213 -v -0.111183 -0.253605 0.767777 -v -0.111241 -0.253564 0.767805 -v -0.111308 -0.253539 0.767777 -v -0.111344 -0.253544 0.767709 -v -0.111328 -0.253577 0.767642 -v -0.111269 -0.253618 0.767614 -v -0.111203 -0.253643 0.767642 -v -0.111167 -0.253638 0.767709 -v 0.228828 0.137746 0.784168 -v 0.230054 0.135618 0.785155 -v 0.231651 0.133753 0.784168 -v 0.232684 0.133243 0.781786 -v 0.232548 0.134387 0.779404 -v 0.231323 0.136515 0.778417 -v 0.229726 0.138380 0.779404 -v 0.228693 0.138890 0.781786 -v 0.232590 0.140082 0.784917 -v 0.233683 0.138184 0.785797 -v 0.235108 0.136520 0.784917 -v 0.236030 0.136065 0.782792 -v 0.235909 0.137086 0.780667 -v 0.234816 0.138984 0.779786 -v 0.233391 0.140648 0.780667 -v 0.232469 0.141103 0.782792 -v 0.236352 0.142418 0.785666 -v 0.237313 0.140749 0.786440 -v 0.238565 0.139287 0.785666 -v 0.239376 0.138887 0.783798 -v 0.239269 0.139785 0.781930 -v 0.238308 0.141453 0.781156 -v 0.237056 0.142916 0.781930 -v 0.236245 0.143315 0.783798 -v 0.240536 0.145053 0.786535 -v 0.241365 0.143614 0.787202 -v 0.242445 0.142353 0.786535 -v 0.243144 0.142008 0.784924 -v 0.243052 0.142782 0.783313 -v 0.242223 0.144221 0.782645 -v 0.241143 0.145482 0.783313 -v 0.240444 0.145827 0.784924 -v 0.244580 0.147588 0.787363 -v 0.245276 0.146379 0.787924 -v 0.246184 0.145319 0.787363 -v 0.246771 0.145029 0.786009 -v 0.246694 0.145679 0.784655 -v 0.245998 0.146889 0.784095 -v 0.245090 0.147949 0.784655 -v 0.244502 0.148239 0.786009 -v 0.248201 0.149825 0.788073 -v 0.248765 0.148845 0.788527 -v 0.249500 0.147986 0.788073 -v 0.249976 0.147752 0.786976 -v 0.249914 0.148278 0.785879 -v 0.249349 0.149258 0.785424 -v 0.248614 0.150117 0.785879 -v 0.248138 0.150352 0.786976 -v 0.252244 0.152360 0.788902 -v 0.252676 0.151610 0.789249 -v 0.253239 0.150952 0.788902 -v 0.253604 0.150773 0.788062 -v 0.253556 0.151176 0.787222 -v 0.253124 0.151926 0.786874 -v 0.252561 0.152584 0.787222 -v 0.252196 0.152764 0.788062 -v 0.256288 0.154896 0.789730 -v 0.256587 0.154375 0.789972 -v 0.256978 0.153918 0.789730 -v 0.257231 0.153794 0.789147 -v 0.257198 0.154074 0.788564 -v 0.256898 0.154594 0.788323 -v 0.256507 0.155051 0.788564 -v 0.256254 0.155176 0.789147 -v 0.259908 0.157132 0.790440 -v 0.260076 0.156841 0.790575 -v 0.260295 0.156586 0.790440 -v 0.260436 0.156516 0.790114 -v 0.260417 0.156673 0.789788 -v 0.260250 0.156964 0.789653 -v 0.260031 0.157219 0.789788 -v 0.259890 0.157289 0.790114 -v 0.263952 0.159667 0.791268 -v 0.263987 0.159606 0.791297 -v 0.264034 0.159552 0.791268 -v 0.264063 0.159537 0.791199 -v 0.264060 0.159570 0.791131 -v 0.264024 0.159632 0.791102 -v 0.263978 0.159686 0.791131 -v 0.263948 0.159701 0.791199 -v 0.245640 0.042254 0.827508 -v 0.244358 0.040416 0.828266 -v 0.243993 0.038205 0.827508 -v 0.244758 0.036917 0.825677 -v 0.246205 0.037306 0.823847 -v 0.247487 0.039144 0.823089 -v 0.247852 0.041354 0.823847 -v 0.247087 0.042643 0.825677 -v 0.248186 0.040965 0.829083 -v 0.247042 0.039324 0.829759 -v 0.246716 0.037351 0.829083 -v 0.247399 0.036201 0.827449 -v 0.248690 0.036548 0.825815 -v 0.249834 0.038188 0.825139 -v 0.250160 0.040162 0.825815 -v 0.249478 0.041311 0.827449 -v 0.250733 0.039675 0.830658 -v 0.249726 0.038232 0.831253 -v 0.249440 0.036497 0.830658 -v 0.250040 0.035486 0.829221 -v 0.251176 0.035791 0.827784 -v 0.252182 0.037233 0.827189 -v 0.252469 0.038969 0.827784 -v 0.251868 0.039980 0.829221 -v 0.253568 0.038268 0.832436 -v 0.252728 0.037011 0.832970 -v 0.252498 0.035507 0.832468 -v 0.253012 0.034636 0.831225 -v 0.253969 0.034908 0.829969 -v 0.254809 0.036164 0.829435 -v 0.255040 0.037669 0.829937 -v 0.254526 0.038540 0.831180 -v 0.256412 0.037005 0.834085 -v 0.255732 0.035938 0.834552 -v 0.255554 0.034666 0.834140 -v 0.255983 0.033935 0.833092 -v 0.256766 0.034172 0.832020 -v 0.257445 0.035239 0.831554 -v 0.257623 0.036511 0.831965 -v 0.257195 0.037242 0.833014 -v 0.258985 0.035853 0.835543 -v 0.258375 0.035010 0.835881 -v 0.258196 0.033992 0.835523 -v 0.258552 0.033395 0.834679 -v 0.259236 0.033569 0.833842 -v 0.259845 0.034412 0.833504 -v 0.260025 0.035430 0.833862 -v 0.259668 0.036027 0.834706 -v 0.261549 0.034256 0.837405 -v 0.260985 0.033661 0.837585 -v 0.260789 0.032911 0.837263 -v 0.261078 0.032445 0.836627 -v 0.261681 0.032536 0.836050 -v 0.262245 0.033131 0.835870 -v 0.262440 0.033881 0.836192 -v 0.262152 0.034347 0.836828 -v 0.263634 0.032273 0.839463 -v 0.263184 0.031904 0.839528 -v 0.263015 0.031408 0.839267 -v 0.263224 0.031077 0.838833 -v 0.263690 0.031103 0.838480 -v 0.264140 0.031472 0.838415 -v 0.264310 0.031967 0.838676 -v 0.264100 0.032299 0.839110 -v 0.265126 0.030238 0.841371 -v 0.264860 0.030042 0.841393 -v 0.264757 0.029769 0.841236 -v 0.264878 0.029579 0.840993 -v 0.265150 0.029584 0.840806 -v 0.265416 0.029780 0.840784 -v 0.265519 0.030053 0.840941 -v 0.265398 0.030243 0.841184 -v 0.266808 0.028002 0.843527 -v 0.266748 0.027955 0.843534 -v 0.266726 0.027890 0.843500 -v 0.266753 0.027847 0.843443 -v 0.266815 0.027850 0.843398 -v 0.266874 0.027897 0.843390 -v 0.266897 0.027961 0.843425 -v 0.266870 0.028005 0.843481 -v -0.175487 0.131839 0.914746 -v -0.173439 0.130323 0.915459 -v -0.170896 0.130157 0.914746 -v -0.169348 0.131438 0.913023 -v -0.169703 0.133415 0.911300 -v -0.171751 0.134930 0.910587 -v -0.174294 0.135097 0.911300 -v -0.175841 0.133816 0.913023 -v -0.174818 0.132898 0.915605 -v -0.172991 0.131546 0.916241 -v -0.170722 0.131398 0.915605 -v -0.169342 0.132540 0.914068 -v -0.169658 0.134304 0.912531 -v -0.171485 0.135656 0.911895 -v -0.173754 0.135804 0.912531 -v -0.175134 0.134662 0.914068 -v -0.174149 0.133958 0.916464 -v -0.172543 0.132769 0.917023 -v -0.170549 0.132639 0.916464 -v -0.169335 0.133643 0.915113 -v -0.169613 0.135193 0.913762 -v -0.171219 0.136382 0.913202 -v -0.173213 0.136512 0.913762 -v -0.174427 0.135508 0.915113 -v -0.173438 0.135133 0.917447 -v -0.172052 0.134108 0.917929 -v -0.170333 0.133995 0.917447 -v -0.169286 0.134861 0.916282 -v -0.169526 0.136199 0.915117 -v -0.170911 0.137224 0.914634 -v -0.172631 0.137336 0.915117 -v -0.173677 0.136470 0.916282 -v -0.172741 0.136269 0.918389 -v -0.171576 0.135408 0.918794 -v -0.170131 0.135313 0.918389 -v -0.169251 0.136041 0.917409 -v -0.169453 0.137165 0.916430 -v -0.170617 0.138026 0.916025 -v -0.172062 0.138121 0.916430 -v -0.172942 0.137393 0.917409 -v -0.172086 0.137290 0.919206 -v -0.171142 0.136592 0.919535 -v -0.169971 0.136516 0.919206 -v -0.169259 0.137105 0.918413 -v -0.169422 0.138016 0.917620 -v -0.170365 0.138714 0.917291 -v -0.171536 0.138790 0.917620 -v -0.172249 0.138201 0.918413 -v -0.171388 0.138427 0.920148 -v -0.170666 0.137892 0.920400 -v -0.169769 0.137834 0.920148 -v -0.169224 0.138285 0.919541 -v -0.169349 0.138982 0.918933 -v -0.170071 0.139517 0.918681 -v -0.170968 0.139575 0.918933 -v -0.171513 0.139124 0.919541 -v -0.170691 0.139563 0.921090 -v -0.170190 0.139192 0.921264 -v -0.169568 0.139152 0.921090 -v -0.169189 0.139465 0.920668 -v -0.169276 0.139949 0.920247 -v -0.169777 0.140320 0.920072 -v -0.170399 0.140360 0.920247 -v -0.170778 0.140047 0.920668 -v -0.170036 0.140584 0.921907 -v -0.169756 0.140377 0.922005 -v -0.169408 0.140354 0.921907 -v -0.169196 0.140529 0.921672 -v -0.169245 0.140800 0.921436 -v -0.169525 0.141007 0.921338 -v -0.169873 0.141030 0.921436 -v -0.170085 0.140854 0.921672 -v -0.169339 0.141720 0.922849 -v -0.169280 0.141677 0.922870 -v -0.169206 0.141672 0.922849 -v -0.169162 0.141709 0.922799 -v -0.169172 0.141766 0.922749 -v -0.169231 0.141810 0.922729 -v -0.169305 0.141815 0.922749 -v -0.169349 0.141778 0.922799 -v -0.299375 -0.062440 0.809856 -v -0.300156 -0.060123 0.810866 -v -0.301058 -0.057850 0.809856 -v -0.301552 -0.056952 0.807416 -v -0.301348 -0.057956 0.804976 -v -0.300567 -0.060273 0.803965 -v -0.299665 -0.062547 0.804976 -v -0.299171 -0.063444 0.807416 -v -0.303661 -0.063731 0.809874 -v -0.304358 -0.061664 0.810776 -v -0.305163 -0.059636 0.809874 -v -0.305603 -0.058835 0.807698 -v -0.305421 -0.059731 0.805521 -v -0.304724 -0.061798 0.804619 -v -0.303920 -0.063826 0.805521 -v -0.303479 -0.064627 0.807698 -v -0.307947 -0.065022 0.809893 -v -0.308560 -0.063204 0.810685 -v -0.309267 -0.061422 0.809893 -v -0.309654 -0.060718 0.807979 -v -0.309494 -0.061505 0.806066 -v -0.308882 -0.063322 0.805273 -v -0.308174 -0.065105 0.806066 -v -0.307787 -0.065809 0.807979 -v -0.312729 -0.066494 0.809945 -v -0.313258 -0.064927 0.810628 -v -0.313867 -0.063389 0.809945 -v -0.314201 -0.062782 0.808295 -v -0.314064 -0.063461 0.806645 -v -0.313535 -0.065029 0.805961 -v -0.312925 -0.066566 0.806645 -v -0.312591 -0.067173 0.808295 -v -0.317346 -0.067906 0.809986 -v -0.317790 -0.066589 0.810560 -v -0.318303 -0.065297 0.809986 -v -0.318583 -0.064786 0.808599 -v -0.318467 -0.065357 0.807212 -v -0.318023 -0.066674 0.806637 -v -0.317511 -0.067966 0.807212 -v -0.317230 -0.068477 0.808599 -v -0.321467 -0.069136 0.809993 -v -0.321827 -0.068069 0.810458 -v -0.322242 -0.067022 0.809993 -v -0.322469 -0.066609 0.808869 -v -0.322375 -0.067071 0.807746 -v -0.322015 -0.068138 0.807280 -v -0.321600 -0.069185 0.807746 -v -0.321373 -0.069598 0.808869 -v -0.326083 -0.070548 0.810034 -v -0.326359 -0.069731 0.810390 -v -0.326677 -0.068929 0.810034 -v -0.326851 -0.068613 0.809174 -v -0.326779 -0.068967 0.808313 -v -0.326504 -0.069784 0.807957 -v -0.326186 -0.070585 0.808313 -v -0.326012 -0.070902 0.809174 -v -0.330700 -0.071960 0.810075 -v -0.330891 -0.071393 0.810322 -v -0.331112 -0.070836 0.810075 -v -0.331233 -0.070617 0.809478 -v -0.331183 -0.070862 0.808881 -v -0.330992 -0.071430 0.808633 -v -0.330771 -0.071986 0.808881 -v -0.330650 -0.072206 0.809478 -v -0.334821 -0.073190 0.810082 -v -0.334928 -0.072873 0.810220 -v -0.335051 -0.072562 0.810082 -v -0.335119 -0.072439 0.809748 -v -0.335091 -0.072576 0.809415 -v -0.334984 -0.072893 0.809276 -v -0.334861 -0.073204 0.809415 -v -0.334793 -0.073327 0.809748 -v -0.339438 -0.074602 0.810123 -v -0.339460 -0.074535 0.810152 -v -0.339486 -0.074469 0.810123 -v -0.339501 -0.074443 0.810053 -v -0.339495 -0.074472 0.809982 -v -0.339472 -0.074539 0.809953 -v -0.339446 -0.074605 0.809982 -v -0.339432 -0.074631 0.810053 -v -0.230055 -0.127922 0.872094 -v -0.231515 -0.125858 0.872876 -v -0.233800 -0.124778 0.872094 -v -0.235574 -0.125316 0.870204 -v -0.235796 -0.127155 0.868315 -v -0.234336 -0.129219 0.867533 -v -0.232051 -0.130299 0.868315 -v -0.230277 -0.129762 0.870204 -v -0.231435 -0.129155 0.873256 -v -0.232737 -0.127314 0.873954 -v -0.234776 -0.126350 0.873256 -v -0.236358 -0.126830 0.871571 -v -0.236556 -0.128471 0.869885 -v -0.235254 -0.130312 0.869187 -v -0.233215 -0.131275 0.869885 -v -0.231633 -0.130796 0.871571 -v -0.232814 -0.130388 0.874419 -v -0.233959 -0.128769 0.875033 -v -0.235751 -0.127923 0.874419 -v -0.237142 -0.128344 0.872937 -v -0.237316 -0.129786 0.871456 -v -0.236172 -0.131405 0.870842 -v -0.234379 -0.132252 0.871456 -v -0.232989 -0.131831 0.872937 -v -0.234321 -0.131772 0.875744 -v -0.235308 -0.130376 0.876273 -v -0.236854 -0.129646 0.875744 -v -0.238053 -0.130009 0.874466 -v -0.238203 -0.131253 0.873188 -v -0.237216 -0.132649 0.872659 -v -0.235670 -0.133380 0.873188 -v -0.234471 -0.133016 0.874466 -v -0.235785 -0.133106 0.877014 -v -0.236614 -0.131933 0.877459 -v -0.237914 -0.131319 0.877014 -v -0.238921 -0.131624 0.875941 -v -0.239048 -0.132670 0.874867 -v -0.238218 -0.133843 0.874422 -v -0.236919 -0.134457 0.874867 -v -0.235911 -0.134152 0.875941 -v -0.237122 -0.134289 0.878123 -v -0.237794 -0.133338 0.878483 -v -0.238847 -0.132841 0.878123 -v -0.239663 -0.133088 0.877253 -v -0.239766 -0.133935 0.876383 -v -0.239094 -0.134886 0.876023 -v -0.238041 -0.135383 0.876383 -v -0.237224 -0.135136 0.877253 -v -0.238586 -0.135622 0.879394 -v -0.239101 -0.134894 0.879670 -v -0.239907 -0.134514 0.879394 -v -0.240532 -0.134703 0.878728 -v -0.240610 -0.135352 0.878061 -v -0.240096 -0.136080 0.877785 -v -0.239290 -0.136460 0.878061 -v -0.238665 -0.136271 0.878728 -v -0.240050 -0.136956 0.880664 -v -0.240407 -0.136451 0.880856 -v -0.240967 -0.136187 0.880664 -v -0.241401 -0.136318 0.880202 -v -0.241455 -0.136768 0.879740 -v -0.241098 -0.137273 0.879548 -v -0.240539 -0.137538 0.879740 -v -0.240105 -0.137406 0.880202 -v -0.241388 -0.138139 0.881773 -v -0.241587 -0.137856 0.881880 -v -0.241900 -0.137708 0.881773 -v -0.242143 -0.137782 0.881515 -v -0.242173 -0.138034 0.881256 -v -0.241973 -0.138316 0.881149 -v -0.241661 -0.138464 0.881256 -v -0.241418 -0.138390 0.881515 -v -0.242852 -0.139472 0.883044 -v -0.242894 -0.139413 0.883066 -v -0.242960 -0.139381 0.883044 -v -0.243011 -0.139397 0.882989 -v -0.243018 -0.139450 0.882934 -v -0.242975 -0.139510 0.882912 -v -0.242909 -0.139541 0.882934 -v -0.242858 -0.139526 0.882989 -v -0.234178 0.130478 0.897855 -v -0.232411 0.132202 0.898807 -v -0.231186 0.134345 0.897855 -v -0.231221 0.135652 0.895554 -v -0.232495 0.135358 0.893253 -v -0.234262 0.133634 0.892300 -v -0.235487 0.131490 0.893253 -v -0.235452 0.130183 0.895554 -v -0.237865 0.133664 0.899324 -v -0.236288 0.135202 0.900174 -v -0.235196 0.137114 0.899324 -v -0.235227 0.138280 0.897271 -v -0.236363 0.138017 0.895219 -v -0.237939 0.136479 0.894369 -v -0.239032 0.134567 0.895219 -v -0.239001 0.133401 0.897271 -v -0.241551 0.136850 0.900793 -v -0.240166 0.138202 0.901540 -v -0.239205 0.139882 0.900793 -v -0.239232 0.140907 0.898989 -v -0.240231 0.140676 0.897185 -v -0.241617 0.139324 0.896438 -v -0.242578 0.137644 0.897185 -v -0.242551 0.136619 0.898989 -v -0.245686 0.140382 0.902466 -v -0.244491 0.141548 0.903111 -v -0.243663 0.142998 0.902466 -v -0.243686 0.143882 0.900910 -v -0.244548 0.143683 0.899355 -v -0.245743 0.142517 0.898710 -v -0.246571 0.141067 0.899355 -v -0.246548 0.140183 0.900910 -v -0.249672 0.143799 0.904071 -v -0.248667 0.144779 0.904613 -v -0.247971 0.145998 0.904071 -v -0.247991 0.146741 0.902764 -v -0.248715 0.146573 0.901456 -v -0.249719 0.145593 0.900914 -v -0.250416 0.144375 0.901456 -v -0.250396 0.143632 0.902764 -v -0.253209 0.146870 0.905473 -v -0.252395 0.147664 0.905912 -v -0.251831 0.148651 0.905473 -v -0.251847 0.149253 0.904413 -v -0.252434 0.149117 0.903354 -v -0.253247 0.148323 0.902915 -v -0.253812 0.147336 0.903354 -v -0.253796 0.146734 0.904413 -v -0.257194 0.150287 0.907078 -v -0.256571 0.150895 0.907414 -v -0.256139 0.151651 0.907078 -v -0.256151 0.152111 0.906267 -v -0.256601 0.152008 0.905456 -v -0.257224 0.151400 0.905120 -v -0.257656 0.150644 0.905456 -v -0.257644 0.150183 0.906267 -v -0.261180 0.153704 0.908683 -v -0.260747 0.154126 0.908916 -v -0.260448 0.154650 0.908683 -v -0.260456 0.154970 0.908120 -v -0.260768 0.154898 0.907557 -v -0.261200 0.154476 0.907324 -v -0.261500 0.153952 0.907557 -v -0.261492 0.153632 0.908120 -v -0.264717 0.156774 0.910085 -v -0.264475 0.157010 0.910215 -v -0.264307 0.157303 0.910085 -v -0.264312 0.157482 0.909770 -v -0.264487 0.157442 0.909455 -v -0.264728 0.157206 0.909325 -v -0.264896 0.156913 0.909455 -v -0.264891 0.156734 0.909770 -v -0.268702 0.160191 0.911690 -v -0.268651 0.160241 0.911717 -v -0.268616 0.160303 0.911690 -v -0.268617 0.160341 0.911623 -v -0.268654 0.160333 0.911557 -v -0.268705 0.160283 0.911529 -v -0.268740 0.160221 0.911557 -v -0.268739 0.160183 0.911623 -v -0.283238 0.002973 0.841797 -v -0.281141 0.004332 0.842667 -v -0.279775 0.006424 0.841797 -v -0.279939 0.008024 0.839696 -v -0.281539 0.008195 0.837594 -v -0.283636 0.006836 0.836724 -v -0.285003 0.004744 0.837594 -v -0.284838 0.003143 0.839696 -v -0.286251 0.006370 0.844186 -v -0.284380 0.007582 0.844963 -v -0.283161 0.009449 0.844186 -v -0.283308 0.010876 0.842312 -v -0.284735 0.011029 0.840437 -v -0.286606 0.009816 0.839661 -v -0.287825 0.007950 0.840437 -v -0.287678 0.006522 0.842312 -v -0.289263 0.009767 0.846576 -v -0.287619 0.010833 0.847258 -v -0.286547 0.012474 0.846576 -v -0.286676 0.013729 0.844928 -v -0.287931 0.013862 0.843280 -v -0.289575 0.012797 0.842598 -v -0.290647 0.011156 0.843280 -v -0.290518 0.009901 0.844928 -v -0.292644 0.013534 0.849276 -v -0.291226 0.014453 0.849864 -v -0.290302 0.015868 0.849276 -v -0.290413 0.016951 0.847855 -v -0.291495 0.017066 0.846434 -v -0.292913 0.016147 0.845845 -v -0.293837 0.014732 0.846434 -v -0.293726 0.013650 0.847855 -v -0.295902 0.017178 0.851872 -v -0.294710 0.017951 0.852367 -v -0.293933 0.019140 0.851872 -v -0.294027 0.020049 0.850678 -v -0.294936 0.020146 0.849483 -v -0.296128 0.019374 0.848989 -v -0.296905 0.018185 0.849483 -v -0.296811 0.017275 0.850678 -v -0.298792 0.020452 0.854158 -v -0.297826 0.021078 0.854559 -v -0.297197 0.022042 0.854158 -v -0.297273 0.022778 0.853190 -v -0.298009 0.022857 0.852223 -v -0.298975 0.022231 0.851822 -v -0.299604 0.021268 0.852223 -v -0.299528 0.020531 0.853190 -v -0.302050 0.024096 0.856755 -v -0.301310 0.024575 0.857061 -v -0.300829 0.025313 0.856755 -v -0.300887 0.025877 0.856014 -v -0.301451 0.025937 0.855273 -v -0.302190 0.025458 0.854966 -v -0.302672 0.024721 0.855273 -v -0.302614 0.024156 0.856014 -v -0.305308 0.027740 0.859351 -v -0.304795 0.028072 0.859564 -v -0.304460 0.028584 0.859351 -v -0.304501 0.028976 0.858837 -v -0.304892 0.029018 0.858323 -v -0.305405 0.028685 0.858110 -v -0.305740 0.028173 0.858323 -v -0.305699 0.027782 0.858837 -v -0.308198 0.031014 0.861637 -v -0.307911 0.031200 0.861756 -v -0.307724 0.031486 0.861637 -v -0.307746 0.031705 0.861350 -v -0.307965 0.031728 0.861062 -v -0.308252 0.031543 0.860943 -v -0.308439 0.031256 0.861062 -v -0.308417 0.031037 0.861350 -v -0.311456 0.034658 0.864233 -v -0.311395 0.034697 0.864259 -v -0.311356 0.034758 0.864233 -v -0.311360 0.034804 0.864173 -v -0.311407 0.034809 0.864112 -v -0.311467 0.034770 0.864087 -v -0.311507 0.034709 0.864112 -v -0.311502 0.034663 0.864173 -v 0.050111 -0.104543 0.902575 -v 0.049926 -0.104584 0.902649 -v 0.049759 -0.104671 0.902575 -v 0.049707 -0.104754 0.902398 -v 0.049800 -0.104783 0.902221 -v 0.049984 -0.104742 0.902147 -v 0.050151 -0.104655 0.902221 -v 0.050204 -0.104573 0.902398 -v 0.050600 -0.105923 0.903054 -v 0.050429 -0.105961 0.903122 -v 0.050273 -0.106043 0.903054 -v 0.050224 -0.106119 0.902888 -v 0.050311 -0.106147 0.902723 -v 0.050482 -0.106109 0.902655 -v 0.050638 -0.106027 0.902723 -v 0.050687 -0.105951 0.902888 -v 0.051090 -0.107303 0.903532 -v 0.050931 -0.107338 0.903595 -v 0.050787 -0.107414 0.903532 -v 0.050742 -0.107485 0.903379 -v 0.050822 -0.107510 0.903226 -v 0.050981 -0.107475 0.903163 -v 0.051125 -0.107400 0.903226 -v 0.051170 -0.107329 0.903379 -v 0.051639 -0.108846 0.904068 -v 0.051493 -0.108878 0.904126 -v 0.051360 -0.108948 0.904068 -v 0.051318 -0.109013 0.903927 -v 0.051392 -0.109036 0.903787 -v 0.051538 -0.109004 0.903728 -v 0.051671 -0.108935 0.903787 -v 0.051713 -0.108869 0.903927 -v 0.052168 -0.110334 0.904585 -v 0.052035 -0.110364 0.904638 -v 0.051914 -0.110427 0.904585 -v 0.051876 -0.110487 0.904456 -v 0.051943 -0.110508 0.904328 -v 0.052076 -0.110479 0.904275 -v 0.052197 -0.110415 0.904328 -v 0.052235 -0.110356 0.904456 -v 0.052638 -0.111660 0.905043 -v 0.052517 -0.111687 0.905091 -v 0.052408 -0.111744 0.905043 -v 0.052373 -0.111798 0.904927 -v 0.052434 -0.111817 0.904811 -v 0.052555 -0.111791 0.904763 -v 0.052664 -0.111733 0.904811 -v 0.052699 -0.111679 0.904927 -v 0.053167 -0.113149 0.905560 -v 0.053059 -0.113173 0.905603 -v 0.052961 -0.113224 0.905560 -v 0.052930 -0.113272 0.905456 -v 0.052985 -0.113289 0.905352 -v 0.053093 -0.113265 0.905309 -v 0.053191 -0.113214 0.905352 -v 0.053221 -0.113166 0.905456 -v 0.053696 -0.114637 0.906077 -v 0.053601 -0.114658 0.906115 -v 0.053515 -0.114703 0.906077 -v 0.053488 -0.114746 0.905985 -v 0.053536 -0.114761 0.905894 -v 0.053631 -0.114740 0.905856 -v 0.053717 -0.114695 0.905894 -v 0.053744 -0.114652 0.905985 -v 0.054166 -0.115963 0.906535 -v 0.054084 -0.115981 0.906568 -v 0.054009 -0.116020 0.906535 -v 0.053985 -0.116057 0.906456 -v 0.054027 -0.116070 0.906377 -v 0.054109 -0.116052 0.906344 -v 0.054184 -0.116013 0.906377 -v 0.054208 -0.115976 0.906456 -v 0.054695 -0.117451 0.907052 -v 0.054625 -0.117467 0.907080 -v 0.054562 -0.117500 0.907052 -v 0.054542 -0.117531 0.906985 -v 0.054578 -0.117542 0.906918 -v 0.054647 -0.117527 0.906890 -v 0.054711 -0.117494 0.906918 -v 0.054730 -0.117463 0.906985 -v 0.092477 -0.178790 0.952322 -v 0.090167 -0.179918 0.952948 -v 0.088963 -0.182190 0.952322 -v 0.089572 -0.184276 0.950812 -v 0.091637 -0.184954 0.949302 -v 0.093947 -0.183826 0.948676 -v 0.095151 -0.181554 0.949302 -v 0.094542 -0.179468 0.950812 -v 0.093608 -0.180339 0.954313 -v 0.091547 -0.181344 0.954871 -v 0.090473 -0.183371 0.954313 -v 0.091016 -0.185232 0.952966 -v 0.092858 -0.185837 0.951618 -v 0.094920 -0.184831 0.951060 -v 0.095993 -0.182804 0.951618 -v 0.095450 -0.180943 0.952966 -v 0.094739 -0.181887 0.956303 -v 0.092927 -0.182771 0.956794 -v 0.091983 -0.184553 0.956303 -v 0.092461 -0.186189 0.955119 -v 0.094080 -0.186720 0.953935 -v 0.095892 -0.185836 0.953444 -v 0.096835 -0.184054 0.953935 -v 0.096358 -0.182418 0.955119 -v 0.096009 -0.183579 0.958549 -v 0.094446 -0.184342 0.958972 -v 0.093633 -0.185879 0.958549 -v 0.094044 -0.187289 0.957528 -v 0.095441 -0.187747 0.956506 -v 0.097003 -0.186985 0.956083 -v 0.097817 -0.185448 0.956506 -v 0.097406 -0.184038 0.957528 -v 0.097233 -0.185224 0.960710 -v 0.095920 -0.185865 0.961066 -v 0.095236 -0.187156 0.960710 -v 0.095582 -0.188342 0.959852 -v 0.096755 -0.188727 0.958993 -v 0.098069 -0.188086 0.958638 -v 0.098753 -0.186794 0.958993 -v 0.098407 -0.185609 0.959852 -v 0.098317 -0.186724 0.962615 -v 0.097253 -0.187243 0.962903 -v 0.096699 -0.188289 0.962615 -v 0.096979 -0.189250 0.961920 -v 0.097930 -0.189562 0.961224 -v 0.098994 -0.189043 0.960936 -v 0.099548 -0.187996 0.961224 -v 0.099268 -0.187036 0.961920 -v 0.099541 -0.188368 0.964776 -v 0.098726 -0.188766 0.964997 -v 0.098302 -0.189567 0.964776 -v 0.098517 -0.190302 0.964243 -v 0.099245 -0.190541 0.963711 -v 0.100060 -0.190144 0.963490 -v 0.100484 -0.189343 0.963711 -v 0.100269 -0.188607 0.964243 -v 0.100765 -0.190013 0.966937 -v 0.100199 -0.190288 0.967090 -v 0.099905 -0.190845 0.966937 -v 0.100054 -0.191355 0.966567 -v 0.100559 -0.191521 0.966198 -v 0.101125 -0.191245 0.966045 -v 0.101419 -0.190689 0.966198 -v 0.101270 -0.190178 0.966567 -v 0.101849 -0.191513 0.968842 -v 0.101533 -0.191667 0.968928 -v 0.101368 -0.191978 0.968842 -v 0.101452 -0.192263 0.968635 -v 0.101734 -0.192356 0.968429 -v 0.102050 -0.192202 0.968343 -v 0.102215 -0.191891 0.968429 -v 0.102132 -0.191605 0.968635 -v 0.103073 -0.193157 0.971003 -v 0.103006 -0.193190 0.971021 -v 0.102971 -0.193255 0.971003 -v 0.102989 -0.193316 0.970959 -v 0.103049 -0.193335 0.970915 -v 0.103116 -0.193303 0.970897 -v 0.103150 -0.193237 0.970915 -v 0.103133 -0.193177 0.970959 -v 0.040410 -0.205807 0.932904 -v 0.038676 -0.204072 0.933876 -v 0.036601 -0.202763 0.932904 -v 0.035401 -0.202646 0.930556 -v 0.035779 -0.203791 0.928209 -v 0.037513 -0.205526 0.927236 -v 0.039588 -0.206835 0.928209 -v 0.040788 -0.206952 0.930556 -v 0.038415 -0.207882 0.933434 -v 0.036868 -0.206334 0.934302 -v 0.035017 -0.205166 0.933434 -v 0.033946 -0.205062 0.931340 -v 0.034283 -0.206084 0.929246 -v 0.035831 -0.207632 0.928379 -v 0.037681 -0.208800 0.929246 -v 0.038752 -0.208903 0.931340 -v 0.036419 -0.209957 0.933965 -v 0.035059 -0.208596 0.934728 -v 0.033432 -0.207570 0.933965 -v 0.032491 -0.207478 0.932124 -v 0.032788 -0.208376 0.930283 -v 0.034148 -0.209737 0.929521 -v 0.035775 -0.210764 0.930283 -v 0.036716 -0.210855 0.932124 -v 0.034217 -0.212292 0.934589 -v 0.033044 -0.211118 0.935246 -v 0.031641 -0.210232 0.934589 -v 0.030829 -0.210154 0.933001 -v 0.031085 -0.210928 0.931413 -v 0.032258 -0.212102 0.930756 -v 0.033661 -0.212987 0.931413 -v 0.034472 -0.213066 0.933001 -v 0.032083 -0.214539 0.935182 -v 0.031097 -0.213553 0.935734 -v 0.029918 -0.212809 0.935182 -v 0.029236 -0.212743 0.933847 -v 0.029451 -0.213393 0.932513 -v 0.030437 -0.214380 0.931960 -v 0.031616 -0.215124 0.932513 -v 0.032298 -0.215190 0.933847 -v 0.030157 -0.216528 0.935681 -v 0.029358 -0.215729 0.936129 -v 0.028403 -0.215126 0.935681 -v 0.027850 -0.215072 0.934600 -v 0.028024 -0.215600 0.933519 -v 0.028823 -0.216399 0.933071 -v 0.029778 -0.217002 0.933519 -v 0.030331 -0.217055 0.934600 -v 0.028023 -0.218776 0.936274 -v 0.027412 -0.218164 0.936617 -v 0.026680 -0.217702 0.936274 -v 0.026257 -0.217661 0.935446 -v 0.026390 -0.218065 0.934618 -v 0.027002 -0.218677 0.934275 -v 0.027734 -0.219139 0.934618 -v 0.028157 -0.219180 0.935446 -v 0.025890 -0.221024 0.936867 -v 0.025465 -0.220599 0.937105 -v 0.024958 -0.220279 0.936867 -v 0.024664 -0.220250 0.936292 -v 0.024756 -0.220530 0.935717 -v 0.025181 -0.220955 0.935479 -v 0.025689 -0.221276 0.935717 -v 0.025982 -0.221304 0.936292 -v 0.023964 -0.223013 0.937366 -v 0.023726 -0.222775 0.937500 -v 0.023442 -0.222596 0.937366 -v 0.023278 -0.222580 0.937045 -v 0.023330 -0.222737 0.936724 -v 0.023567 -0.222974 0.936591 -v 0.023851 -0.223153 0.936724 -v 0.024015 -0.223169 0.937045 -v 0.021830 -0.225260 0.937959 -v 0.021780 -0.225210 0.937987 -v 0.021720 -0.225172 0.937959 -v 0.021685 -0.225169 0.937891 -v 0.021696 -0.225202 0.937823 -v 0.021746 -0.225252 0.937795 -v 0.021806 -0.225290 0.937823 -v 0.021841 -0.225294 0.937891 -v 0.275677 0.044610 1.022796 -v 0.275516 0.042170 1.023806 -v 0.275502 0.039724 1.022796 -v 0.275643 0.038706 1.020358 -v 0.275857 0.039711 1.017920 -v 0.276018 0.042152 1.016910 -v 0.276032 0.044598 1.017920 -v 0.275890 0.045616 1.020358 -v 0.280372 0.044178 1.022875 -v 0.280228 0.042001 1.023776 -v 0.280216 0.039819 1.022875 -v 0.280342 0.038911 1.020699 -v 0.280533 0.039808 1.018524 -v 0.280676 0.041985 1.017623 -v 0.280689 0.044167 1.018524 -v 0.280563 0.045076 1.020699 -v 0.285067 0.043747 1.022953 -v 0.284941 0.041833 1.023745 -v 0.284930 0.039915 1.022953 -v 0.285041 0.039116 1.021041 -v 0.285209 0.039905 1.019129 -v 0.285335 0.041819 1.018337 -v 0.285346 0.043737 1.019129 -v 0.285235 0.044535 1.021041 -v 0.290319 0.043295 1.023072 -v 0.290210 0.041644 1.023755 -v 0.290200 0.039990 1.023072 -v 0.290296 0.039301 1.021423 -v 0.290440 0.039981 1.019774 -v 0.290549 0.041632 1.019091 -v 0.290559 0.043286 1.019774 -v 0.290463 0.043975 1.021423 -v 0.295385 0.042850 1.023178 -v 0.295293 0.041462 1.023752 -v 0.295285 0.040072 1.023178 -v 0.295366 0.039493 1.021792 -v 0.295487 0.040065 1.020406 -v 0.295579 0.041452 1.019832 -v 0.295586 0.042842 1.020406 -v 0.295506 0.043421 1.021792 -v 0.299895 0.042424 1.023243 -v 0.299820 0.041300 1.023708 -v 0.299814 0.040174 1.023243 -v 0.299879 0.039705 1.022120 -v 0.299978 0.040168 1.020997 -v 0.300052 0.041292 1.020532 -v 0.300058 0.042418 1.020997 -v 0.299993 0.042887 1.022120 -v 0.304961 0.041979 1.023348 -v 0.304904 0.041118 1.023704 -v 0.304899 0.040256 1.023348 -v 0.304949 0.039897 1.022488 -v 0.305024 0.040252 1.021629 -v 0.305081 0.041112 1.021272 -v 0.305086 0.041975 1.021629 -v 0.305036 0.042334 1.022488 -v 0.310027 0.041534 1.023454 -v 0.309987 0.040937 1.023701 -v 0.309984 0.040338 1.023454 -v 0.310018 0.040089 1.022857 -v 0.310071 0.040335 1.022260 -v 0.310110 0.040932 1.022013 -v 0.310113 0.041531 1.022260 -v 0.310079 0.041780 1.022857 -v 0.314537 0.041109 1.023519 -v 0.314515 0.040775 1.023657 -v 0.314513 0.040440 1.023519 -v 0.314532 0.040301 1.023185 -v 0.314561 0.040438 1.022851 -v 0.314583 0.040772 1.022713 -v 0.314585 0.041107 1.022851 -v 0.314566 0.041246 1.023185 -v 0.319603 0.040663 1.023624 -v 0.319598 0.040593 1.023653 -v 0.319598 0.040522 1.023624 -v 0.319602 0.040493 1.023554 -v 0.319608 0.040522 1.023483 -v 0.319613 0.040592 1.023454 -v 0.319613 0.040663 1.023483 -v 0.319609 0.040692 1.023554 -v 0.223659 -0.104930 0.966290 -v 0.222778 -0.106765 0.967130 -v 0.221784 -0.108540 0.966290 -v 0.221260 -0.109217 0.964262 -v 0.221512 -0.108399 0.962234 -v 0.222392 -0.106564 0.961394 -v 0.223386 -0.104789 0.962234 -v 0.223911 -0.104112 0.964262 -v 0.224699 -0.105716 0.965974 -v 0.223913 -0.107354 0.966724 -v 0.223025 -0.108939 0.965974 -v 0.222557 -0.109543 0.964163 -v 0.222782 -0.108812 0.962353 -v 0.223568 -0.107175 0.961603 -v 0.224456 -0.105590 0.962353 -v 0.224924 -0.104985 0.964163 -v 0.225739 -0.106502 0.965658 -v 0.225047 -0.107943 0.966318 -v 0.224267 -0.109338 0.965658 -v 0.223854 -0.109869 0.964065 -v 0.224052 -0.109226 0.962472 -v 0.224744 -0.107785 0.961812 -v 0.225525 -0.106391 0.962472 -v 0.225937 -0.105859 0.964065 -v 0.226916 -0.107359 0.965330 -v 0.226319 -0.108603 0.965900 -v 0.225645 -0.109807 0.965330 -v 0.225289 -0.110266 0.963954 -v 0.225460 -0.109711 0.962579 -v 0.226057 -0.108467 0.962009 -v 0.226731 -0.107263 0.962579 -v 0.227087 -0.106804 0.963954 -v 0.228048 -0.108192 0.965006 -v 0.227545 -0.109240 0.965486 -v 0.226977 -0.110254 0.965006 -v 0.226678 -0.110640 0.963848 -v 0.226821 -0.110173 0.962690 -v 0.227324 -0.109125 0.962210 -v 0.227892 -0.108111 0.962690 -v 0.228191 -0.107725 0.963848 -v 0.229042 -0.108954 0.964694 -v 0.228633 -0.109805 0.965083 -v 0.228173 -0.110628 0.964694 -v 0.227929 -0.110942 0.963753 -v 0.228046 -0.110563 0.962813 -v 0.228455 -0.109712 0.962423 -v 0.228915 -0.108889 0.962813 -v 0.229159 -0.108575 0.963753 -v 0.230173 -0.109788 0.964370 -v 0.229859 -0.110442 0.964669 -v 0.229505 -0.111075 0.964370 -v 0.229318 -0.111316 0.963647 -v 0.229408 -0.111024 0.962924 -v 0.229722 -0.110370 0.962624 -v 0.230076 -0.109737 0.962924 -v 0.230263 -0.109496 0.963647 -v 0.231305 -0.110621 0.964046 -v 0.231085 -0.111078 0.964255 -v 0.230837 -0.111521 0.964046 -v 0.230707 -0.111689 0.963541 -v 0.230769 -0.111485 0.963035 -v 0.230989 -0.111028 0.962826 -v 0.231237 -0.110586 0.963035 -v 0.231367 -0.110417 0.963541 -v 0.232299 -0.111383 0.963734 -v 0.232174 -0.111643 0.963853 -v 0.232033 -0.111896 0.963734 -v 0.231958 -0.111992 0.963446 -v 0.231994 -0.111876 0.963158 -v 0.232119 -0.111615 0.963039 -v 0.232260 -0.111363 0.963158 -v 0.232335 -0.111267 0.963446 -v 0.233430 -0.112216 0.963410 -v 0.233400 -0.112280 0.963439 -v 0.233365 -0.112342 0.963410 -v 0.233347 -0.112365 0.963339 -v 0.233356 -0.112337 0.963269 -v 0.233386 -0.112273 0.963240 -v 0.233421 -0.112211 0.963269 -v 0.233439 -0.112188 0.963339 -v 0.228306 0.087126 1.054535 -v 0.230359 0.085658 1.055329 -v 0.232866 0.085361 1.054535 -v 0.234358 0.086410 1.052618 -v 0.233961 0.088190 1.050700 -v 0.231908 0.089659 1.049906 -v 0.229402 0.089955 1.050700 -v 0.227910 0.088907 1.052618 -v 0.229476 0.089418 1.056223 -v 0.231308 0.088107 1.056932 -v 0.233544 0.087843 1.056223 -v 0.234875 0.088778 1.054513 -v 0.234521 0.090366 1.052802 -v 0.232690 0.091677 1.052094 -v 0.230453 0.091941 1.052802 -v 0.229122 0.091006 1.054513 -v 0.230646 0.091709 1.057911 -v 0.232256 0.090557 1.058534 -v 0.234222 0.090324 1.057911 -v 0.235392 0.091147 1.056408 -v 0.235081 0.092543 1.054904 -v 0.233471 0.093694 1.054281 -v 0.231505 0.093927 1.054904 -v 0.230335 0.093105 1.056408 -v 0.231919 0.094265 1.059824 -v 0.233307 0.093272 1.060362 -v 0.235003 0.093071 1.059824 -v 0.236012 0.093780 1.058528 -v 0.235744 0.094984 1.057231 -v 0.234355 0.095978 1.056694 -v 0.232660 0.096178 1.057231 -v 0.231651 0.095469 1.058528 -v 0.233157 0.096733 1.061663 -v 0.234324 0.095898 1.062114 -v 0.235749 0.095729 1.061663 -v 0.236597 0.096326 1.060573 -v 0.236372 0.097337 1.059483 -v 0.235205 0.098172 1.059031 -v 0.233780 0.098341 1.059483 -v 0.232932 0.097745 1.060573 -v 0.234293 0.098936 1.063276 -v 0.235239 0.098259 1.063642 -v 0.236393 0.098123 1.063276 -v 0.237080 0.098606 1.062393 -v 0.236897 0.099425 1.061510 -v 0.235952 0.100102 1.061144 -v 0.234798 0.100239 1.061510 -v 0.234111 0.099755 1.062393 -v 0.235532 0.101404 1.065114 -v 0.236256 0.100886 1.065394 -v 0.237139 0.100781 1.065114 -v 0.237666 0.101151 1.064438 -v 0.237526 0.101779 1.063762 -v 0.236802 0.102296 1.063482 -v 0.235918 0.102401 1.063762 -v 0.235392 0.102031 1.064438 -v 0.236770 0.103871 1.066952 -v 0.237272 0.103512 1.067146 -v 0.237886 0.103439 1.066952 -v 0.238251 0.103696 1.066483 -v 0.238154 0.104132 1.066014 -v 0.237652 0.104491 1.065819 -v 0.237038 0.104564 1.066014 -v 0.236673 0.104307 1.066483 -v 0.237906 0.106074 1.068565 -v 0.238187 0.105873 1.068674 -v 0.238530 0.105833 1.068565 -v 0.238734 0.105976 1.068303 -v 0.238680 0.106220 1.068041 -v 0.238399 0.106421 1.067932 -v 0.238056 0.106461 1.068041 -v 0.237852 0.106318 1.068303 -v 0.239144 0.108542 1.070403 -v 0.239204 0.108500 1.070426 -v 0.239276 0.108491 1.070403 -v 0.239319 0.108521 1.070348 -v 0.239308 0.108573 1.070293 -v 0.239249 0.108615 1.070270 -v 0.239176 0.108624 1.070293 -v 0.239133 0.108594 1.070348 -v -0.152703 0.071505 1.039183 -v -0.152591 0.071654 1.039256 -v -0.152522 0.071826 1.039183 -v -0.152535 0.071921 1.039008 -v -0.152623 0.071883 1.038833 -v -0.152734 0.071734 1.038760 -v -0.152803 0.071561 1.038833 -v -0.152791 0.071466 1.039008 -v -0.154847 0.072726 1.039985 -v -0.154744 0.072865 1.040052 -v -0.154679 0.073025 1.039985 -v -0.154691 0.073114 1.039822 -v -0.154773 0.073078 1.039659 -v -0.154876 0.072940 1.039591 -v -0.154941 0.072779 1.039659 -v -0.154929 0.072691 1.039822 -v -0.156992 0.073948 1.040786 -v -0.156896 0.074076 1.040849 -v -0.156836 0.074225 1.040786 -v -0.156847 0.074307 1.040635 -v -0.156923 0.074274 1.040484 -v -0.157019 0.074145 1.040421 -v -0.157079 0.073997 1.040484 -v -0.157068 0.073915 1.040635 -v -0.159394 0.075314 1.041685 -v -0.159302 0.075430 1.041741 -v -0.159244 0.075565 1.041683 -v -0.159254 0.075641 1.041543 -v -0.159326 0.075612 1.041405 -v -0.159418 0.075496 1.041349 -v -0.159476 0.075360 1.041408 -v -0.159466 0.075285 1.041547 -v -0.161637 0.076763 1.042608 -v -0.161549 0.076867 1.042658 -v -0.161494 0.076989 1.042603 -v -0.161503 0.077058 1.042476 -v -0.161571 0.077033 1.042351 -v -0.161659 0.076929 1.042301 -v -0.161715 0.076807 1.042355 -v -0.161706 0.076738 1.042483 -v -0.163619 0.078064 1.043431 -v -0.163548 0.078164 1.043480 -v -0.163504 0.078278 1.043433 -v -0.163513 0.078341 1.043318 -v -0.163569 0.078315 1.043202 -v -0.163639 0.078215 1.043153 -v -0.163683 0.078101 1.043200 -v -0.163674 0.078038 1.043315 -v -0.166067 0.079115 1.044181 -v -0.166025 0.079213 1.044232 -v -0.166002 0.079322 1.044194 -v -0.166011 0.079378 1.044092 -v -0.166047 0.079349 1.043984 -v -0.166088 0.079251 1.043934 -v -0.166112 0.079142 1.043971 -v -0.166103 0.079086 1.044073 -v -0.168740 0.079628 1.044694 -v -0.168723 0.079718 1.044742 -v -0.168717 0.079818 1.044712 -v -0.168726 0.079868 1.044622 -v -0.168744 0.079839 1.044523 -v -0.168761 0.079749 1.044475 -v -0.168767 0.079650 1.044505 -v -0.168758 0.079600 1.044596 -v -0.171234 0.079696 1.044971 -v -0.171227 0.079775 1.045014 -v -0.171228 0.079862 1.044989 -v -0.171236 0.079905 1.044910 -v -0.171247 0.079880 1.044824 -v -0.171254 0.079801 1.044781 -v -0.171253 0.079715 1.044806 -v -0.171245 0.079671 1.044885 -v -0.174040 0.079789 1.045292 -v -0.174029 0.079856 1.045328 -v -0.174027 0.079929 1.045306 -v -0.174033 0.079966 1.045240 -v -0.174046 0.079945 1.045167 -v -0.174056 0.079878 1.045131 -v -0.174059 0.079805 1.045153 -v -0.174052 0.079768 1.045220 -v -0.304798 0.055335 1.057408 -v -0.305523 0.057685 1.058387 -v -0.306726 0.059829 1.057408 -v -0.307704 0.060511 1.055046 -v -0.307883 0.059333 1.052683 -v -0.307159 0.056983 1.051705 -v -0.305955 0.054839 1.052683 -v -0.304978 0.054157 1.055046 -v -0.308687 0.054178 1.058113 -v -0.309251 0.056306 1.058963 -v -0.310205 0.058267 1.058058 -v -0.310990 0.058910 1.055926 -v -0.311146 0.057860 1.053818 -v -0.310582 0.055732 1.052967 -v -0.309628 0.053771 1.053873 -v -0.308844 0.053128 1.056004 -v -0.312232 0.053159 1.058722 -v -0.312829 0.054989 1.059498 -v -0.313814 0.056652 1.058743 -v -0.314612 0.057174 1.056900 -v -0.314754 0.056249 1.055048 -v -0.314157 0.054419 1.054272 -v -0.313171 0.052756 1.055027 -v -0.312374 0.052234 1.056870 -v -0.315688 0.051572 1.059631 -v -0.316392 0.053043 1.060369 -v -0.317519 0.054320 1.059818 -v -0.318408 0.054656 1.058302 -v -0.318539 0.053853 1.056708 -v -0.317835 0.052382 1.055970 -v -0.316709 0.051105 1.056520 -v -0.315820 0.050770 1.058036 -v -0.318597 0.049418 1.060809 -v -0.319327 0.050537 1.061500 -v -0.320476 0.051439 1.061142 -v -0.321371 0.051596 1.059943 -v -0.321487 0.050916 1.058607 -v -0.320757 0.049797 1.057915 -v -0.319608 0.048895 1.058274 -v -0.318714 0.048738 1.059473 -v -0.320967 0.046981 1.062106 -v -0.321599 0.047843 1.062693 -v -0.322588 0.048508 1.062441 -v -0.323356 0.048587 1.061498 -v -0.323452 0.048034 1.060416 -v -0.322821 0.047172 1.059829 -v -0.321831 0.046507 1.060081 -v -0.321063 0.046428 1.061024 -v -0.323733 0.044111 1.063658 -v -0.324205 0.044783 1.064100 -v -0.324947 0.045312 1.063896 -v -0.325523 0.045386 1.063166 -v -0.325596 0.044963 1.062337 -v -0.325124 0.044291 1.061896 -v -0.324382 0.043763 1.062100 -v -0.323806 0.043688 1.062830 -v -0.326643 0.041398 1.065135 -v -0.326964 0.041873 1.065437 -v -0.327468 0.042251 1.065289 -v -0.327861 0.042311 1.064777 -v -0.327911 0.042018 1.064202 -v -0.327590 0.041543 1.063900 -v -0.327086 0.041165 1.064049 -v -0.326694 0.041105 1.064560 -v -0.329248 0.039017 1.066417 -v -0.329427 0.039282 1.066586 -v -0.329709 0.039494 1.066503 -v -0.329929 0.039528 1.066217 -v -0.329957 0.039364 1.065895 -v -0.329778 0.039098 1.065726 -v -0.329496 0.038887 1.065809 -v -0.329276 0.038853 1.066095 -v -0.332140 0.036325 1.067882 -v -0.332178 0.036381 1.067918 -v -0.332238 0.036426 1.067900 -v -0.332284 0.036433 1.067840 -v -0.332290 0.036398 1.067772 -v -0.332252 0.036342 1.067736 -v -0.332193 0.036297 1.067753 -v -0.332146 0.036290 1.067814 -v -0.293851 0.111937 1.080668 -v -0.291969 0.113608 1.081489 -v -0.291063 0.115955 1.080668 -v -0.291663 0.117603 1.078687 -v -0.293417 0.117588 1.076706 -v -0.295298 0.115918 1.075886 -v -0.296205 0.113571 1.076706 -v -0.295605 0.111922 1.078687 -v -0.295496 0.113400 1.081923 -v -0.293817 0.114890 1.082655 -v -0.293009 0.116984 1.081923 -v -0.293544 0.118455 1.080156 -v -0.295109 0.118441 1.078388 -v -0.296787 0.116951 1.077656 -v -0.297596 0.114857 1.078388 -v -0.297061 0.113387 1.080156 -v -0.297140 0.114863 1.083178 -v -0.295665 0.116172 1.083821 -v -0.294954 0.118013 1.083178 -v -0.295425 0.119306 1.081624 -v -0.296800 0.119294 1.080071 -v -0.298276 0.117984 1.079427 -v -0.298987 0.116144 1.080071 -v -0.298516 0.114851 1.081624 -v -0.298983 0.116463 1.084607 -v -0.297711 0.117592 1.085162 -v -0.297098 0.119179 1.084607 -v -0.297504 0.120294 1.083267 -v -0.298690 0.120284 1.081927 -v -0.299963 0.119155 1.081372 -v -0.300575 0.117567 1.081927 -v -0.300170 0.116452 1.083267 -v -0.300760 0.118017 1.085978 -v -0.299691 0.118966 1.086444 -v -0.299176 0.120300 1.085978 -v -0.299517 0.121237 1.084852 -v -0.300514 0.121229 1.083726 -v -0.301583 0.120279 1.083260 -v -0.302098 0.118945 1.083726 -v -0.301757 0.118008 1.084852 -v -0.302339 0.119434 1.087175 -v -0.301473 0.120203 1.087553 -v -0.301055 0.121283 1.087175 -v -0.301332 0.122043 1.086262 -v -0.302140 0.122036 1.085350 -v -0.303006 0.121267 1.084972 -v -0.303423 0.120186 1.085350 -v -0.303147 0.119427 1.086262 -v -0.304116 0.120988 1.088546 -v -0.303453 0.121577 1.088835 -v -0.303133 0.122404 1.088546 -v -0.303345 0.122986 1.087847 -v -0.303963 0.122980 1.087149 -v -0.304627 0.122391 1.086859 -v -0.304946 0.121564 1.087149 -v -0.304735 0.120982 1.087847 -v -0.305893 0.122542 1.089917 -v -0.305433 0.122951 1.090118 -v -0.305211 0.123525 1.089917 -v -0.305358 0.123928 1.089432 -v -0.305787 0.123925 1.088947 -v -0.306247 0.123516 1.088746 -v -0.306469 0.122942 1.088947 -v -0.306322 0.122538 1.089432 -v -0.307472 0.123959 1.091114 -v -0.307215 0.124187 1.091226 -v -0.307091 0.124508 1.091114 -v -0.307173 0.124734 1.090842 -v -0.307413 0.124732 1.090571 -v -0.307670 0.124503 1.090459 -v -0.307794 0.124182 1.090571 -v -0.307712 0.123957 1.090842 -v -0.309249 0.125513 1.092485 -v -0.309194 0.125561 1.092508 -v -0.309168 0.125629 1.092485 -v -0.309186 0.125677 1.092427 -v -0.309236 0.125676 1.092370 -v -0.309291 0.125628 1.092346 -v -0.309317 0.125560 1.092370 -v -0.309300 0.125512 1.092427 -v -0.317995 -0.000077 1.108958 -v -0.316906 0.002124 1.109946 -v -0.316231 0.004484 1.108958 -v -0.316364 0.005621 1.106573 -v -0.317228 0.004869 1.104187 -v -0.318316 0.002669 1.103199 -v -0.318991 0.000309 1.104187 -v -0.318858 -0.000828 1.106573 -v -0.321972 0.001744 1.109666 -v -0.321001 0.003707 1.110548 -v -0.320398 0.005813 1.109666 -v -0.320517 0.006827 1.107538 -v -0.321288 0.006156 1.105410 -v -0.322259 0.004193 1.104528 -v -0.322861 0.002088 1.105410 -v -0.322742 0.001073 1.107538 -v -0.325949 0.003565 1.110374 -v -0.325095 0.005290 1.111149 -v -0.324566 0.007141 1.110374 -v -0.324670 0.008033 1.108503 -v -0.325348 0.007443 1.106632 -v -0.326201 0.005718 1.105857 -v -0.326730 0.003867 1.106632 -v -0.326626 0.002975 1.108503 -v -0.330403 0.005570 1.111196 -v -0.329667 0.007058 1.111864 -v -0.329210 0.008654 1.111196 -v -0.329300 0.009423 1.109583 -v -0.329884 0.008915 1.107969 -v -0.330620 0.007427 1.107301 -v -0.331077 0.005831 1.107969 -v -0.330987 0.005061 1.109583 -v -0.334698 0.007513 1.111980 -v -0.334079 0.008764 1.112542 -v -0.333695 0.010106 1.111980 -v -0.333771 0.010752 1.110624 -v -0.334262 0.010325 1.109268 -v -0.334880 0.009074 1.108706 -v -0.335264 0.007733 1.109268 -v -0.335189 0.007086 1.110624 -v -0.338516 0.009273 1.112650 -v -0.338015 0.010286 1.113105 -v -0.337704 0.011373 1.112650 -v -0.337765 0.011897 1.111551 -v -0.338163 0.011550 1.110452 -v -0.338664 0.010537 1.109997 -v -0.338975 0.009450 1.110452 -v -0.338913 0.008926 1.111551 -v -0.342811 0.011216 1.113434 -v -0.342427 0.011992 1.113782 -v -0.342189 0.012824 1.113434 -v -0.342236 0.013225 1.112593 -v -0.342540 0.012960 1.111751 -v -0.342924 0.012184 1.111403 -v -0.343162 0.011352 1.111751 -v -0.343115 0.010951 1.112593 -v -0.347106 0.013160 1.114218 -v -0.346839 0.013698 1.114460 -v -0.346674 0.014276 1.114218 -v -0.346707 0.014554 1.113634 -v -0.346918 0.014370 1.113050 -v -0.347184 0.013832 1.112808 -v -0.347350 0.013254 1.113050 -v -0.347317 0.012976 1.113634 -v -0.350924 0.014919 1.114887 -v -0.350775 0.015220 1.115023 -v -0.350683 0.015543 1.114887 -v -0.350701 0.015699 1.114561 -v -0.350819 0.015596 1.114235 -v -0.350968 0.015295 1.114100 -v -0.351060 0.014972 1.114235 -v -0.351042 0.014816 1.114561 -v -0.355219 0.016863 1.115672 -v -0.355187 0.016926 1.115700 -v -0.355168 0.016995 1.115672 -v -0.355172 0.017028 1.115603 -v -0.355197 0.017006 1.115534 -v -0.355228 0.016942 1.115505 -v -0.355248 0.016874 1.115534 -v -0.355244 0.016841 1.115603 -v -0.186150 -0.114358 1.146761 -v -0.186285 -0.112478 1.147490 -v -0.186922 -0.110704 1.146761 -v -0.187688 -0.110075 1.144999 -v -0.188134 -0.110960 1.143238 -v -0.188000 -0.112840 1.142508 -v -0.187363 -0.114614 1.143238 -v -0.186596 -0.115243 1.144999 -v -0.187756 -0.114493 1.147112 -v -0.187877 -0.112814 1.147763 -v -0.188446 -0.111230 1.147112 -v -0.189130 -0.110668 1.145538 -v -0.189528 -0.111459 1.143965 -v -0.189408 -0.113138 1.143313 -v -0.188839 -0.114722 1.143965 -v -0.188155 -0.115284 1.145538 -v -0.189362 -0.114629 1.147462 -v -0.189468 -0.113150 1.148036 -v -0.189969 -0.111756 1.147462 -v -0.190571 -0.111261 1.146078 -v -0.190922 -0.111957 1.144693 -v -0.190816 -0.113435 1.144119 -v -0.190315 -0.114830 1.144693 -v -0.189713 -0.115324 1.146078 -v -0.191146 -0.114801 1.147877 -v -0.191238 -0.113524 1.148373 -v -0.191671 -0.112319 1.147877 -v -0.192191 -0.111892 1.146681 -v -0.192494 -0.112493 1.145484 -v -0.192403 -0.113770 1.144988 -v -0.191970 -0.114975 1.145484 -v -0.191450 -0.115402 1.146681 -v -0.192871 -0.114962 1.148271 -v -0.192948 -0.113886 1.148688 -v -0.193313 -0.112870 1.148271 -v -0.193751 -0.112510 1.147262 -v -0.194007 -0.113017 1.146254 -v -0.193930 -0.114093 1.145836 -v -0.193565 -0.115108 1.146254 -v -0.193127 -0.115468 1.147262 -v -0.194418 -0.115084 1.148600 -v -0.194481 -0.114209 1.148940 -v -0.194777 -0.113384 1.148600 -v -0.195134 -0.113091 1.147780 -v -0.195341 -0.113503 1.146960 -v -0.195279 -0.114378 1.146621 -v -0.194982 -0.115204 1.146960 -v -0.194626 -0.115496 1.147780 -v -0.196143 -0.115245 1.148994 -v -0.196191 -0.114571 1.149255 -v -0.196419 -0.113934 1.148994 -v -0.196694 -0.113709 1.148362 -v -0.196854 -0.114026 1.147730 -v -0.196806 -0.114700 1.147469 -v -0.196577 -0.115337 1.147730 -v -0.196303 -0.115562 1.148362 -v -0.197867 -0.115405 1.149387 -v -0.197901 -0.114932 1.149571 -v -0.198062 -0.114485 1.149387 -v -0.198254 -0.114327 1.148944 -v -0.198367 -0.114550 1.148501 -v -0.198333 -0.115023 1.148317 -v -0.198172 -0.115469 1.148501 -v -0.197980 -0.115628 1.148944 -v -0.199414 -0.115528 1.149717 -v -0.199434 -0.115256 1.149822 -v -0.199526 -0.114999 1.149717 -v -0.199637 -0.114908 1.149462 -v -0.199701 -0.115036 1.149207 -v -0.199682 -0.115308 1.149101 -v -0.199590 -0.115565 1.149207 -v -0.199479 -0.115656 1.149462 -v -0.201139 -0.115688 1.150110 -v -0.201144 -0.115617 1.150138 -v -0.201168 -0.115550 1.150110 -v -0.201197 -0.115526 1.150043 -v -0.201214 -0.115559 1.149977 -v -0.201209 -0.115631 1.149949 -v -0.201185 -0.115698 1.149977 -v -0.201156 -0.115722 1.150043 -v -0.118149 -0.186298 1.195688 -v -0.119755 -0.185252 1.196330 -v -0.121657 -0.185016 1.195688 -v -0.122741 -0.185728 1.194138 -v -0.122372 -0.186972 1.192588 -v -0.120766 -0.188018 1.191946 -v -0.118864 -0.188254 1.192588 -v -0.117780 -0.187541 1.194138 -v -0.118815 -0.187828 1.196502 -v -0.120278 -0.186981 1.197135 -v -0.121995 -0.186825 1.196599 -v -0.122960 -0.187452 1.195209 -v -0.122608 -0.188495 1.193778 -v -0.121145 -0.189343 1.193145 -v -0.119429 -0.189499 1.193681 -v -0.118463 -0.188871 1.195071 -v -0.119507 -0.189435 1.197369 -v -0.120758 -0.188582 1.197852 -v -0.122246 -0.188378 1.197333 -v -0.123100 -0.188941 1.196117 -v -0.122818 -0.189942 1.194915 -v -0.121567 -0.190795 1.194433 -v -0.120079 -0.191000 1.194951 -v -0.119226 -0.190436 1.196168 -v -0.120526 -0.191023 1.198503 -v -0.121504 -0.190093 1.198755 -v -0.122724 -0.189794 1.198202 -v -0.123472 -0.190300 1.197168 -v -0.123309 -0.191316 1.196259 -v -0.122331 -0.192246 1.196007 -v -0.121111 -0.192545 1.196560 -v -0.120363 -0.192039 1.197594 -v -0.121819 -0.192196 1.199699 -v -0.122524 -0.191281 1.199757 -v -0.123477 -0.190945 1.199194 -v -0.124120 -0.191385 1.198338 -v -0.124075 -0.192343 1.197691 -v -0.123370 -0.193258 1.197633 -v -0.122417 -0.193594 1.198196 -v -0.121775 -0.193154 1.199052 -v -0.123154 -0.192953 1.200760 -v -0.123681 -0.192174 1.200754 -v -0.124426 -0.191878 1.200261 -v -0.124953 -0.192239 1.199571 -v -0.124954 -0.193046 1.199087 -v -0.124427 -0.193826 1.199093 -v -0.123682 -0.194122 1.199586 -v -0.123155 -0.193760 1.200276 -v -0.124591 -0.193792 1.201940 -v -0.125010 -0.193201 1.201950 -v -0.125593 -0.192979 1.201581 -v -0.125998 -0.193257 1.201047 -v -0.125987 -0.193871 1.200663 -v -0.125568 -0.194462 1.200652 -v -0.124985 -0.194684 1.201022 -v -0.124581 -0.194406 1.201555 -v -0.125963 -0.194723 1.203102 -v -0.126265 -0.194314 1.203119 -v -0.126680 -0.194162 1.202866 -v -0.126963 -0.194357 1.202491 -v -0.126949 -0.194783 1.202213 -v -0.126646 -0.195191 1.202196 -v -0.126232 -0.195343 1.202449 -v -0.125949 -0.195149 1.202825 -v -0.127210 -0.195555 1.204121 -v -0.127385 -0.195320 1.204131 -v -0.127623 -0.195233 1.203985 -v -0.127786 -0.195345 1.203769 -v -0.127778 -0.195590 1.203609 -v -0.127604 -0.195825 1.203599 -v -0.127365 -0.195912 1.203745 -v -0.127203 -0.195800 1.203961 -v -0.128587 -0.196489 1.205288 -v -0.128632 -0.196428 1.205291 -v -0.128694 -0.196405 1.205253 -v -0.128737 -0.196434 1.205196 -v -0.128735 -0.196498 1.205155 -v -0.128689 -0.196560 1.205152 -v -0.128627 -0.196582 1.205190 -v -0.128585 -0.196553 1.205247 -v 0.179284 -0.026344 1.272153 -v 0.177205 -0.027949 1.272474 -v 0.176774 -0.030540 1.272153 -v 0.178244 -0.032599 1.271380 -v 0.180754 -0.032921 1.270606 -v 0.182834 -0.031317 1.270286 -v 0.183265 -0.028725 1.270606 -v 0.181794 -0.026666 1.271380 -v 0.179861 -0.026996 1.273806 -v 0.178005 -0.028428 1.274092 -v 0.177621 -0.030739 1.273806 -v 0.178932 -0.032577 1.273116 -v 0.181172 -0.032864 1.272425 -v 0.183027 -0.031432 1.272139 -v 0.183411 -0.029121 1.272425 -v 0.182100 -0.027283 1.273116 -v 0.180437 -0.027648 1.275458 -v 0.178806 -0.028907 1.275709 -v 0.178468 -0.030939 1.275458 -v 0.179621 -0.032554 1.274851 -v 0.181589 -0.032806 1.274244 -v 0.183220 -0.031548 1.273993 -v 0.183558 -0.029516 1.274244 -v 0.182405 -0.027901 1.274851 -v 0.181072 -0.028336 1.277316 -v 0.179665 -0.029421 1.277533 -v 0.179374 -0.031173 1.277316 -v 0.180368 -0.032566 1.276793 -v 0.182066 -0.032784 1.276269 -v 0.183472 -0.031699 1.276053 -v 0.183764 -0.029946 1.276269 -v 0.182769 -0.028553 1.276793 -v 0.181687 -0.029011 1.279106 -v 0.180505 -0.029923 1.279288 -v 0.180260 -0.031396 1.279106 -v 0.181096 -0.032567 1.278666 -v 0.182523 -0.032750 1.278226 -v 0.183705 -0.031838 1.278044 -v 0.183950 -0.030365 1.278226 -v 0.183114 -0.029194 1.278666 -v 0.182244 -0.029652 1.280689 -v 0.181286 -0.030391 1.280837 -v 0.181088 -0.031584 1.280689 -v 0.181765 -0.032533 1.280333 -v 0.182921 -0.032681 1.279976 -v 0.183878 -0.031942 1.279829 -v 0.184077 -0.030748 1.279976 -v 0.183400 -0.029800 1.280333 -v 0.182859 -0.030327 1.282479 -v 0.182126 -0.030893 1.282592 -v 0.181974 -0.031807 1.282479 -v 0.182493 -0.032533 1.282206 -v 0.183378 -0.032647 1.281933 -v 0.184111 -0.032081 1.281820 -v 0.184263 -0.031167 1.281933 -v 0.183745 -0.030441 1.282206 -v 0.183475 -0.031003 1.284268 -v 0.182966 -0.031396 1.284346 -v 0.182861 -0.032030 1.284268 -v 0.183220 -0.032534 1.284079 -v 0.183835 -0.032613 1.283889 -v 0.184343 -0.032220 1.283811 -v 0.184449 -0.031586 1.283889 -v 0.184089 -0.031082 1.284079 -v 0.184031 -0.031644 1.285852 -v 0.183747 -0.031863 1.285895 -v 0.183688 -0.032218 1.285852 -v 0.183889 -0.032499 1.285746 -v 0.184233 -0.032543 1.285640 -v 0.184517 -0.032324 1.285596 -v 0.184576 -0.031969 1.285640 -v 0.184375 -0.031688 1.285746 -v 0.184647 -0.032319 1.287641 -v 0.184587 -0.032366 1.287650 -v 0.184574 -0.032441 1.287641 -v 0.184617 -0.032500 1.287619 -v 0.184689 -0.032509 1.287596 -v 0.184750 -0.032463 1.287587 -v 0.184762 -0.032388 1.287596 -v 0.184720 -0.032329 1.287619 -v 0.194264 0.100539 1.173264 -v 0.195912 0.099575 1.173974 -v 0.197145 0.098118 1.173264 -v 0.197241 0.097021 1.171551 -v 0.196144 0.096926 1.169838 -v 0.194495 0.097890 1.169128 -v 0.193262 0.099347 1.169838 -v 0.193166 0.100444 1.171551 -v 0.196212 0.102546 1.171776 -v 0.197684 0.101685 1.172409 -v 0.198786 0.100383 1.171776 -v 0.198872 0.099403 1.170246 -v 0.197891 0.099319 1.168715 -v 0.196420 0.100180 1.168082 -v 0.195318 0.101481 1.168715 -v 0.195232 0.102461 1.170246 -v 0.198161 0.104552 1.170287 -v 0.199457 0.103795 1.170845 -v 0.200426 0.102649 1.170287 -v 0.200502 0.101786 1.168940 -v 0.199639 0.101712 1.167593 -v 0.198344 0.102470 1.167035 -v 0.197374 0.103615 1.167593 -v 0.197298 0.104478 1.168940 -v 0.200329 0.106820 1.168643 -v 0.201449 0.106165 1.169125 -v 0.202286 0.105176 1.168643 -v 0.202352 0.104430 1.167480 -v 0.201606 0.104366 1.166316 -v 0.200487 0.105021 1.165834 -v 0.199649 0.106010 1.166316 -v 0.199584 0.106756 1.167480 -v 0.202424 0.109001 1.167052 -v 0.203368 0.108449 1.167458 -v 0.204073 0.107615 1.167052 -v 0.204128 0.106987 1.166071 -v 0.203500 0.106933 1.165091 -v 0.202557 0.107484 1.164685 -v 0.201851 0.108318 1.165091 -v 0.201796 0.108946 1.166071 -v 0.204300 0.110920 1.165615 -v 0.205067 0.110472 1.165945 -v 0.205641 0.109794 1.165615 -v 0.205686 0.109283 1.164817 -v 0.205175 0.109239 1.164020 -v 0.204408 0.109687 1.163690 -v 0.203834 0.110366 1.164020 -v 0.203789 0.110876 1.164817 -v 0.206395 0.113101 1.164023 -v 0.206986 0.112755 1.164277 -v 0.207428 0.112233 1.164023 -v 0.207462 0.111840 1.163409 -v 0.207069 0.111806 1.162795 -v 0.206478 0.112151 1.162540 -v 0.206036 0.112674 1.162795 -v 0.206002 0.113067 1.163409 -v 0.208490 0.115281 1.162431 -v 0.208905 0.115039 1.162609 -v 0.209215 0.114673 1.162431 -v 0.209239 0.114397 1.162000 -v 0.208963 0.114373 1.161569 -v 0.208548 0.114615 1.161391 -v 0.208238 0.114982 1.161569 -v 0.208214 0.115258 1.162000 -v 0.210366 0.117201 1.160994 -v 0.210604 0.117062 1.161096 -v 0.210782 0.116851 1.160994 -v 0.210796 0.116693 1.160746 -v 0.210637 0.116679 1.160499 -v 0.210399 0.116818 1.160396 -v 0.210221 0.117029 1.160499 -v 0.210207 0.117187 1.160746 -v 0.212461 0.119382 1.159402 -v 0.212523 0.119346 1.159429 -v 0.212569 0.119291 1.159402 -v 0.212573 0.119250 1.159338 -v 0.212531 0.119246 1.159273 -v 0.212470 0.119282 1.159247 -v 0.212423 0.119337 1.159273 -v 0.212420 0.119378 1.159338 -v 0.149775 -0.083356 1.241907 -v 0.147512 -0.082405 1.242894 -v 0.145111 -0.081891 1.241907 -v 0.143979 -0.082115 1.239526 -v 0.144779 -0.082946 1.237144 -v 0.147043 -0.083898 1.236158 -v 0.149444 -0.084412 1.237144 -v 0.150576 -0.084187 1.239526 -v 0.148563 -0.086334 1.242381 -v 0.146544 -0.085485 1.243261 -v 0.144402 -0.085027 1.242381 -v 0.143392 -0.085227 1.240257 -v 0.144106 -0.085969 1.238132 -v 0.146126 -0.086817 1.237252 -v 0.148268 -0.087276 1.238132 -v 0.149277 -0.087076 1.240257 -v 0.147351 -0.089312 1.242855 -v 0.145576 -0.088566 1.243628 -v 0.143693 -0.088163 1.242855 -v 0.142806 -0.088339 1.240987 -v 0.143433 -0.088991 1.239120 -v 0.145208 -0.089737 1.238346 -v 0.147091 -0.090140 1.239120 -v 0.147979 -0.089964 1.240987 -v 0.146028 -0.092646 1.243415 -v 0.144497 -0.092003 1.244082 -v 0.142873 -0.091655 1.243415 -v 0.142107 -0.091807 1.241805 -v 0.142648 -0.092369 1.240194 -v 0.144179 -0.093013 1.239527 -v 0.145803 -0.093360 1.240194 -v 0.146569 -0.093209 1.241805 -v 0.144741 -0.095862 1.243947 -v 0.143454 -0.095321 1.244507 -v 0.142090 -0.095029 1.243947 -v 0.141446 -0.095157 1.242593 -v 0.141901 -0.095629 1.241239 -v 0.143188 -0.096170 1.240679 -v 0.144553 -0.096462 1.241239 -v 0.145196 -0.096334 1.242593 -v 0.143566 -0.098721 1.244391 -v 0.142524 -0.098283 1.244846 -v 0.141418 -0.098047 1.244391 -v 0.140897 -0.098150 1.243295 -v 0.141265 -0.098533 1.242198 -v 0.142308 -0.098971 1.241744 -v 0.143414 -0.099208 1.242198 -v 0.143935 -0.099104 1.243295 -v 0.142280 -0.101937 1.244923 -v 0.141482 -0.101601 1.245271 -v 0.140635 -0.101420 1.244923 -v 0.140236 -0.101499 1.244083 -v 0.140518 -0.101793 1.243244 -v 0.141316 -0.102128 1.242896 -v 0.142163 -0.102309 1.243244 -v 0.142562 -0.102230 1.244083 -v 0.140993 -0.105152 1.245455 -v 0.140439 -0.104920 1.245696 -v 0.139852 -0.104794 1.245455 -v 0.139575 -0.104849 1.244872 -v 0.139771 -0.105052 1.244289 -v 0.140325 -0.105285 1.244048 -v 0.140912 -0.105411 1.244289 -v 0.141189 -0.105356 1.244872 -v 0.139819 -0.108012 1.245899 -v 0.139509 -0.107882 1.246034 -v 0.139180 -0.107811 1.245899 -v 0.139025 -0.107842 1.245574 -v 0.139135 -0.107956 1.245248 -v 0.139445 -0.108086 1.245113 -v 0.139773 -0.108156 1.245248 -v 0.139928 -0.108126 1.245574 -v 0.138532 -0.111227 1.246431 -v 0.138467 -0.111200 1.246460 -v 0.138397 -0.111185 1.246431 -v 0.138364 -0.111192 1.246362 -v 0.138388 -0.111216 1.246293 -v 0.138453 -0.111243 1.246265 -v 0.138522 -0.111258 1.246293 -v 0.138555 -0.111251 1.246362 -v -0.031687 0.168640 1.286139 -v -0.031504 0.168606 1.286209 -v -0.031320 0.168630 1.286139 -v -0.031242 0.168699 1.285969 -v -0.031316 0.168771 1.285800 -v -0.031499 0.168805 1.285729 -v -0.031683 0.168781 1.285800 -v -0.031761 0.168712 1.285969 -v -0.031606 0.171246 1.287208 -v -0.031435 0.171214 1.287273 -v -0.031263 0.171237 1.287208 -v -0.031191 0.171301 1.287050 -v -0.031260 0.171368 1.286891 -v -0.031430 0.171400 1.286826 -v -0.031602 0.171377 1.286891 -v -0.031675 0.171314 1.287050 -v -0.031524 0.173852 1.288276 -v -0.031366 0.173823 1.288337 -v -0.031207 0.173844 1.288276 -v -0.031140 0.173903 1.288130 -v -0.031204 0.173965 1.287983 -v -0.031362 0.173995 1.287923 -v -0.031521 0.173974 1.287983 -v -0.031588 0.173915 1.288130 -v -0.031435 0.176767 1.289473 -v -0.031289 0.176740 1.289529 -v -0.031142 0.176759 1.289473 -v -0.031080 0.176814 1.289338 -v -0.031139 0.176871 1.289203 -v -0.031285 0.176898 1.289147 -v -0.031432 0.176879 1.289203 -v -0.031494 0.176825 1.289338 -v -0.031348 0.179579 1.290627 -v -0.031215 0.179554 1.290679 -v -0.031081 0.179572 1.290627 -v -0.031024 0.179621 1.290504 -v -0.031078 0.179674 1.290381 -v -0.031211 0.179699 1.290330 -v -0.031345 0.179681 1.290381 -v -0.031402 0.179631 1.290504 -v -0.031269 0.182082 1.291653 -v -0.031148 0.182060 1.291700 -v -0.031027 0.182076 1.291653 -v -0.030976 0.182121 1.291542 -v -0.031025 0.182168 1.291430 -v -0.031145 0.182191 1.291384 -v -0.031266 0.182175 1.291430 -v -0.031318 0.182130 1.291542 -v -0.031182 0.184894 1.292807 -v -0.031074 0.184874 1.292849 -v -0.030965 0.184888 1.292807 -v -0.030919 0.184928 1.292707 -v -0.030963 0.184971 1.292607 -v -0.031071 0.184991 1.292566 -v -0.031180 0.184977 1.292607 -v -0.031226 0.184937 1.292707 -v -0.031095 0.187706 1.293962 -v -0.031000 0.187688 1.293998 -v -0.030904 0.187701 1.293962 -v -0.030863 0.187736 1.293873 -v -0.030902 0.187774 1.293784 -v -0.030997 0.187792 1.293748 -v -0.031093 0.187779 1.293784 -v -0.031134 0.187744 1.293873 -v -0.031016 0.190209 1.294988 -v -0.030934 0.190193 1.295019 -v -0.030850 0.190205 1.294988 -v -0.030815 0.190235 1.294911 -v -0.030848 0.190268 1.294834 -v -0.030931 0.190284 1.294802 -v -0.031015 0.190273 1.294834 -v -0.031050 0.190242 1.294911 -v -0.030930 0.193021 1.296142 -v -0.030859 0.193008 1.296169 -v -0.030788 0.193017 1.296142 -v -0.030758 0.193043 1.296076 -v -0.030787 0.193071 1.296011 -v -0.030857 0.193084 1.295984 -v -0.030928 0.193075 1.296011 -v -0.030958 0.193049 1.296076 -v -0.021002 0.320230 1.317157 -v -0.019221 0.318526 1.318118 -v -0.017062 0.317335 1.317157 -v -0.015790 0.317356 1.314836 -v -0.016151 0.318575 1.312516 -v -0.017933 0.320279 1.311554 -v -0.020092 0.321470 1.312516 -v -0.021363 0.321449 1.314836 -v -0.017913 0.323990 1.318489 -v -0.016324 0.322470 1.319347 -v -0.014398 0.321408 1.318489 -v -0.013264 0.321426 1.316419 -v -0.013585 0.322514 1.314349 -v -0.015175 0.324034 1.313491 -v -0.017101 0.325096 1.314349 -v -0.018235 0.325078 1.316419 -v -0.014824 0.327750 1.319822 -v -0.013427 0.326413 1.320576 -v -0.011734 0.325480 1.319822 -v -0.010737 0.325496 1.318002 -v -0.011020 0.326452 1.316182 -v -0.012417 0.327788 1.315428 -v -0.014110 0.328722 1.316182 -v -0.015107 0.328706 1.318002 -v -0.011400 0.331966 1.321342 -v -0.010195 0.330814 1.321992 -v -0.008735 0.330009 1.321342 -v -0.007875 0.330022 1.319773 -v -0.008119 0.330847 1.318203 -v -0.009324 0.332000 1.317553 -v -0.010784 0.332805 1.318203 -v -0.011644 0.332791 1.319773 -v -0.008087 0.336031 1.322800 -v -0.007074 0.335062 1.323346 -v -0.005847 0.334385 1.322800 -v -0.005125 0.334397 1.321481 -v -0.005330 0.335090 1.320162 -v -0.006342 0.336059 1.319615 -v -0.007570 0.336735 1.320162 -v -0.008292 0.336724 1.321481 -v -0.005110 0.339638 1.324070 -v -0.004290 0.338853 1.324512 -v -0.003295 0.338305 1.324070 -v -0.002710 0.338315 1.323001 -v -0.002876 0.338876 1.321932 -v -0.003696 0.339661 1.321490 -v -0.004691 0.340209 1.321932 -v -0.005276 0.340200 1.323001 -v -0.001797 0.343702 1.325527 -v -0.001169 0.343102 1.325866 -v -0.000408 0.342682 1.325527 -v 0.000040 0.342689 1.324709 -v -0.000087 0.343119 1.323891 -v -0.000715 0.343720 1.323552 -v -0.001476 0.344140 1.323891 -v -0.001925 0.344132 1.324709 -v 0.001515 0.347767 1.326985 -v 0.001951 0.347350 1.327220 -v 0.002480 0.347058 1.326985 -v 0.002791 0.347063 1.326417 -v 0.002702 0.347362 1.325849 -v 0.002266 0.347779 1.325614 -v 0.001738 0.348070 1.325849 -v 0.001427 0.348065 1.326417 -v 0.004492 0.351374 1.328255 -v 0.004736 0.351141 1.328387 -v 0.005032 0.350978 1.328255 -v 0.005206 0.350981 1.327938 -v 0.005156 0.351148 1.327620 -v 0.004912 0.351381 1.327489 -v 0.004617 0.351544 1.327620 -v 0.004443 0.351541 1.327938 -v 0.007805 0.355439 1.329713 -v 0.007857 0.355389 1.329741 -v 0.007919 0.355355 1.329713 -v 0.007956 0.355355 1.329646 -v 0.007945 0.355391 1.329579 -v 0.007894 0.355440 1.329551 -v 0.007831 0.355474 1.329579 -v 0.007795 0.355474 1.329646 -v -0.094672 0.306825 1.291109 -v -0.092943 0.308392 1.292072 -v -0.091115 0.309844 1.291109 -v -0.090260 0.310329 1.288784 -v -0.090878 0.309564 1.286459 -v -0.092607 0.307997 1.285496 -v -0.094435 0.306546 1.286459 -v -0.095290 0.306061 1.288784 -v -0.096303 0.309136 1.290635 -v -0.094760 0.310534 1.291494 -v -0.093130 0.311829 1.290635 -v -0.092367 0.312262 1.288560 -v -0.092918 0.311580 1.286486 -v -0.094461 0.310182 1.285626 -v -0.096092 0.308887 1.286486 -v -0.096855 0.308454 1.288560 -v -0.097934 0.311447 1.290161 -v -0.096578 0.312676 1.290916 -v -0.095144 0.313815 1.290161 -v -0.094473 0.314195 1.288337 -v -0.094958 0.313595 1.286513 -v -0.096315 0.312366 1.285757 -v -0.097748 0.311228 1.286513 -v -0.098419 0.310847 1.288337 -v -0.099783 0.314014 1.289660 -v -0.098613 0.315075 1.290312 -v -0.097376 0.316057 1.289660 -v -0.096797 0.316385 1.288087 -v -0.097216 0.315868 1.286513 -v -0.098386 0.314807 1.285861 -v -0.099623 0.313825 1.286513 -v -0.100202 0.313497 1.288087 -v -0.101560 0.316496 1.289168 -v -0.100576 0.317388 1.289716 -v -0.099536 0.318213 1.289168 -v -0.099049 0.318490 1.287845 -v -0.099401 0.318054 1.286522 -v -0.100385 0.317163 1.285974 -v -0.101425 0.316337 1.286522 -v -0.101911 0.316061 1.287845 -v -0.103118 0.318721 1.288703 -v -0.102321 0.319444 1.289147 -v -0.101478 0.320113 1.288703 -v -0.101083 0.320337 1.287631 -v -0.101368 0.319984 1.286558 -v -0.102166 0.319262 1.286114 -v -0.103009 0.318592 1.286558 -v -0.103403 0.318368 1.287631 -v -0.104895 0.321203 1.288211 -v -0.104283 0.321757 1.288552 -v -0.103637 0.322270 1.288211 -v -0.103335 0.322442 1.287389 -v -0.103553 0.322171 1.286567 -v -0.104165 0.321617 1.286227 -v -0.104811 0.321104 1.286567 -v -0.105113 0.320933 1.287389 -v -0.106671 0.323685 1.287719 -v -0.106246 0.324070 1.287956 -v -0.105797 0.324427 1.287719 -v -0.105587 0.324546 1.287148 -v -0.105739 0.324358 1.286577 -v -0.106164 0.323973 1.286340 -v -0.106613 0.323616 1.286577 -v -0.106823 0.323497 1.287148 -v -0.108230 0.325910 1.287254 -v -0.107991 0.326126 1.287387 -v -0.107739 0.326327 1.287254 -v -0.107621 0.326394 1.286933 -v -0.107706 0.326288 1.286612 -v -0.107945 0.326072 1.286479 -v -0.108197 0.325871 1.286612 -v -0.108315 0.325804 1.286933 -v -0.110006 0.328392 1.286762 -v -0.109954 0.328439 1.286792 -v -0.109898 0.328483 1.286762 -v -0.109872 0.328498 1.286692 -v -0.109891 0.328475 1.286621 -v -0.109943 0.328427 1.286592 -v -0.109999 0.328383 1.286621 -v -0.110025 0.328368 1.286692 -v -0.215222 0.228584 1.306307 -v -0.213364 0.230190 1.307291 -v -0.211230 0.231408 1.306307 -v -0.210071 0.231523 1.303931 -v -0.210566 0.230469 1.301555 -v -0.212424 0.228862 1.300570 -v -0.214557 0.227644 1.301555 -v -0.215716 0.227529 1.303931 -v -0.216259 0.230506 1.305511 -v -0.214601 0.231939 1.306389 -v -0.212698 0.233025 1.305511 -v -0.211664 0.233128 1.303391 -v -0.212105 0.232187 1.301271 -v -0.213763 0.230754 1.300393 -v -0.215666 0.229668 1.301271 -v -0.216700 0.229565 1.303391 -v -0.217295 0.232428 1.304714 -v -0.215838 0.233688 1.305486 -v -0.214165 0.234643 1.304714 -v -0.213257 0.234733 1.302851 -v -0.213644 0.233906 1.300988 -v -0.215101 0.232646 1.300216 -v -0.216774 0.231691 1.300988 -v -0.217683 0.231601 1.302851 -v -0.218485 0.234566 1.303854 -v -0.217229 0.235652 1.304520 -v -0.215786 0.236476 1.303854 -v -0.215002 0.236554 1.302247 -v -0.215336 0.235841 1.300640 -v -0.216593 0.234754 1.299974 -v -0.218036 0.233930 1.300640 -v -0.218819 0.233853 1.302247 -v -0.219624 0.236632 1.303015 -v -0.218568 0.237545 1.303574 -v -0.217355 0.238237 1.303015 -v -0.216696 0.238303 1.301664 -v -0.216977 0.237703 1.300314 -v -0.218033 0.236790 1.299754 -v -0.219246 0.236098 1.300314 -v -0.219905 0.236032 1.301664 -v -0.220610 0.238482 1.302240 -v -0.219754 0.239222 1.302693 -v -0.218772 0.239782 1.302240 -v -0.218238 0.239835 1.301146 -v -0.218466 0.239350 1.300052 -v -0.219321 0.238610 1.299598 -v -0.220304 0.238049 1.300052 -v -0.220837 0.237996 1.301146 -v -0.221749 0.240548 1.301401 -v -0.221093 0.241114 1.301748 -v -0.220341 0.241544 1.301401 -v -0.219932 0.241584 1.300563 -v -0.220107 0.241212 1.299725 -v -0.220762 0.240646 1.299378 -v -0.221514 0.240217 1.299725 -v -0.221923 0.240176 1.300563 -v -0.222887 0.242614 1.300562 -v -0.222433 0.243007 1.300803 -v -0.221910 0.243305 1.300562 -v -0.221627 0.243333 1.299981 -v -0.221748 0.243075 1.299399 -v -0.222203 0.242682 1.299158 -v -0.222725 0.242384 1.299399 -v -0.223008 0.242356 1.299981 -v -0.223873 0.244464 1.299787 -v -0.223619 0.244684 1.299922 -v -0.223327 0.244850 1.299787 -v -0.223168 0.244866 1.299462 -v -0.223236 0.244722 1.299137 -v -0.223490 0.244502 1.299002 -v -0.223782 0.244335 1.299137 -v -0.223941 0.244320 1.299462 -v -0.225012 0.246530 1.298948 -v -0.224958 0.246576 1.298977 -v -0.224896 0.246612 1.298948 -v -0.224863 0.246615 1.298879 -v -0.224877 0.246584 1.298811 -v -0.224931 0.246538 1.298782 -v -0.224993 0.246503 1.298811 -v -0.225026 0.246499 1.298879 -v -0.170410 -0.079169 1.509066 -v -0.172533 -0.077672 1.509567 -v -0.175124 -0.077872 1.509066 -v -0.176664 -0.079652 1.507856 -v -0.176251 -0.081970 1.506647 -v -0.174127 -0.083467 1.506146 -v -0.171536 -0.083266 1.506647 -v -0.169997 -0.081486 1.507856 -v -0.171344 -0.081573 1.513041 -v -0.173239 -0.080238 1.513488 -v -0.175550 -0.080417 1.513041 -v -0.176924 -0.082005 1.511963 -v -0.176555 -0.084072 1.510884 -v -0.174661 -0.085407 1.510437 -v -0.172350 -0.085229 1.510884 -v -0.170976 -0.083641 1.511963 -v -0.172279 -0.083978 1.517017 -v -0.173945 -0.082804 1.517410 -v -0.175976 -0.082961 1.517017 -v -0.177184 -0.084357 1.516069 -v -0.176860 -0.086174 1.515120 -v -0.175194 -0.087348 1.514727 -v -0.173163 -0.087191 1.515120 -v -0.171955 -0.085795 1.516069 -v -0.173288 -0.086650 1.521480 -v -0.174724 -0.085638 1.521819 -v -0.176476 -0.085773 1.521480 -v -0.177517 -0.086977 1.520662 -v -0.177238 -0.088544 1.519844 -v -0.175802 -0.089556 1.519506 -v -0.174050 -0.089421 1.519844 -v -0.173008 -0.088217 1.520662 -v -0.174271 -0.089233 1.525781 -v -0.175479 -0.088382 1.526065 -v -0.176951 -0.088496 1.525781 -v -0.177826 -0.089508 1.525093 -v -0.177592 -0.090825 1.524406 -v -0.176384 -0.091676 1.524121 -v -0.174912 -0.091562 1.524406 -v -0.174037 -0.090550 1.525093 -v -0.175182 -0.091548 1.529594 -v -0.176160 -0.090859 1.529825 -v -0.177353 -0.090951 1.529594 -v -0.178062 -0.091771 1.529037 -v -0.177872 -0.092838 1.528480 -v -0.176894 -0.093527 1.528249 -v -0.175701 -0.093435 1.528480 -v -0.174992 -0.092615 1.529037 -v -0.176166 -0.094131 1.533894 -v -0.176915 -0.093603 1.534071 -v -0.177828 -0.093674 1.533894 -v -0.178371 -0.094302 1.533468 -v -0.178225 -0.095119 1.533042 -v -0.177476 -0.095646 1.532865 -v -0.176563 -0.095576 1.533042 -v -0.176020 -0.094948 1.533468 -v -0.177150 -0.096714 1.538195 -v -0.177669 -0.096348 1.538318 -v -0.178303 -0.096397 1.538195 -v -0.178680 -0.096832 1.537899 -v -0.178579 -0.097399 1.537603 -v -0.178059 -0.097766 1.537480 -v -0.177425 -0.097717 1.537603 -v -0.177048 -0.097281 1.537899 -v -0.178060 -0.099029 1.542008 -v -0.178350 -0.098825 1.542077 -v -0.178705 -0.098852 1.542008 -v -0.178916 -0.099096 1.541843 -v -0.178859 -0.099413 1.541677 -v -0.178568 -0.099617 1.541609 -v -0.178214 -0.099590 1.541677 -v -0.178003 -0.099346 1.541843 -v -0.179044 -0.101612 1.546309 -v -0.179105 -0.101569 1.546323 -v -0.179180 -0.101575 1.546309 -v -0.179225 -0.101626 1.546274 -v -0.179213 -0.101693 1.546239 -v -0.179151 -0.101736 1.546224 -v -0.179076 -0.101731 1.546239 -v -0.179032 -0.101679 1.546274 -v -0.077200 0.239533 1.380696 -v -0.075883 0.237401 1.381548 -v -0.073784 0.236034 1.380696 -v -0.072132 0.236231 1.378638 -v -0.071895 0.237878 1.376580 -v -0.073211 0.240010 1.375728 -v -0.075310 0.241377 1.376580 -v -0.076962 0.241180 1.378638 -v -0.075089 0.241225 1.382109 -v -0.073914 0.239323 1.382870 -v -0.072042 0.238103 1.382109 -v -0.070568 0.238279 1.380274 -v -0.070356 0.239749 1.378438 -v -0.071531 0.241650 1.377678 -v -0.073403 0.242870 1.378438 -v -0.074877 0.242694 1.380274 -v -0.072978 0.242917 1.383523 -v -0.071946 0.241245 1.384192 -v -0.070300 0.240173 1.383523 -v -0.069004 0.240328 1.381909 -v -0.068818 0.241619 1.380296 -v -0.069850 0.243290 1.379627 -v -0.071496 0.244363 1.380296 -v -0.072792 0.244208 1.381909 -v -0.070681 0.244789 1.385103 -v -0.069773 0.243365 1.385695 -v -0.068329 0.242465 1.385142 -v -0.067193 0.242617 1.383767 -v -0.067032 0.243731 1.382376 -v -0.067940 0.245156 1.381783 -v -0.069384 0.246055 1.382337 -v -0.070520 0.245904 1.383712 -v -0.068563 0.246684 1.386685 -v -0.067785 0.245503 1.387198 -v -0.066548 0.244771 1.386755 -v -0.065577 0.244916 1.385615 -v -0.065441 0.245854 1.384447 -v -0.066219 0.247034 1.383934 -v -0.067456 0.247766 1.384377 -v -0.068427 0.247621 1.385516 -v -0.066566 0.248465 1.388163 -v -0.065971 0.247473 1.388546 -v -0.065020 0.246828 1.388139 -v -0.064271 0.246908 1.387182 -v -0.064162 0.247666 1.386234 -v -0.064757 0.248658 1.385851 -v -0.065708 0.249303 1.386257 -v -0.066457 0.249223 1.387215 -v -0.063955 0.250223 1.389676 -v -0.063573 0.249406 1.389915 -v -0.062953 0.248828 1.389524 -v -0.062457 0.248829 1.388734 -v -0.062377 0.249407 1.388006 -v -0.062759 0.250224 1.387767 -v -0.063379 0.250802 1.388157 -v -0.063875 0.250801 1.388948 -v -0.060998 0.251533 1.390849 -v -0.060793 0.250934 1.390983 -v -0.060449 0.250486 1.390665 -v -0.060168 0.250452 1.390083 -v -0.060115 0.250852 1.389576 -v -0.060320 0.251452 1.389443 -v -0.060663 0.251899 1.389760 -v -0.060944 0.251933 1.390343 -v -0.058196 0.252340 1.391593 -v -0.058096 0.251999 1.391661 -v -0.057927 0.251740 1.391474 -v -0.057786 0.251714 1.391141 -v -0.057757 0.251937 1.390858 -v -0.057856 0.252279 1.390790 -v -0.058026 0.252538 1.390976 -v -0.058166 0.252564 1.391309 -v -0.055139 0.253255 1.392448 -v -0.055116 0.253184 1.392463 -v -0.055077 0.253131 1.392425 -v -0.055045 0.253126 1.392356 -v -0.055038 0.253173 1.392296 -v -0.055062 0.253245 1.392280 -v -0.055101 0.253298 1.392319 -v -0.055133 0.253303 1.392388 -v -0.257692 0.033497 1.471931 -v -0.255765 0.035119 1.472742 -v -0.254821 0.037454 1.471931 -v -0.255412 0.039134 1.469974 -v -0.257192 0.039175 1.468017 -v -0.259119 0.037552 1.467206 -v -0.260063 0.035217 1.468017 -v -0.259472 0.033537 1.469974 -v -0.260023 0.035513 1.473900 -v -0.258304 0.036961 1.474624 -v -0.257462 0.039044 1.473900 -v -0.257989 0.040543 1.472154 -v -0.259577 0.040579 1.470408 -v -0.261296 0.039131 1.469685 -v -0.262139 0.037048 1.470408 -v -0.261611 0.035550 1.472154 -v -0.262354 0.037530 1.475869 -v -0.260843 0.038803 1.476505 -v -0.260103 0.040634 1.475869 -v -0.260566 0.041952 1.474334 -v -0.261963 0.041983 1.472800 -v -0.263473 0.040711 1.472164 -v -0.264214 0.038879 1.472800 -v -0.263750 0.037562 1.474334 -v -0.264965 0.039750 1.478097 -v -0.263662 0.040848 1.478646 -v -0.263024 0.042427 1.478097 -v -0.263423 0.043563 1.476774 -v -0.264628 0.043591 1.475450 -v -0.265931 0.042493 1.474902 -v -0.266569 0.040914 1.475450 -v -0.266169 0.039778 1.476774 -v -0.267483 0.041903 1.480239 -v -0.266388 0.042825 1.480700 -v -0.265851 0.044152 1.480239 -v -0.266187 0.045107 1.479126 -v -0.267199 0.045130 1.478014 -v -0.268294 0.044208 1.477553 -v -0.268831 0.042881 1.478014 -v -0.268495 0.041926 1.479126 -v -0.269721 0.043852 1.482122 -v -0.268834 0.044599 1.482495 -v -0.268399 0.045675 1.482122 -v -0.268671 0.046448 1.481221 -v -0.269491 0.046467 1.480319 -v -0.270378 0.045720 1.479946 -v -0.270813 0.044644 1.480319 -v -0.270541 0.043871 1.481221 -v -0.272239 0.046004 1.484264 -v -0.271560 0.046576 1.484550 -v -0.271227 0.047400 1.484264 -v -0.271435 0.047992 1.483573 -v -0.272063 0.048006 1.482883 -v -0.272742 0.047434 1.482597 -v -0.273075 0.046611 1.482883 -v -0.272867 0.046019 1.483573 -v -0.274757 0.048157 1.486405 -v -0.274285 0.048554 1.486604 -v -0.274054 0.049125 1.486405 -v -0.274199 0.049536 1.485926 -v -0.274635 0.049546 1.485447 -v -0.275106 0.049149 1.485249 -v -0.275337 0.048578 1.485447 -v -0.275192 0.048166 1.485926 -v -0.276995 0.050106 1.488288 -v -0.276731 0.050328 1.488399 -v -0.276602 0.050647 1.488288 -v -0.276683 0.050877 1.488020 -v -0.276926 0.050883 1.487753 -v -0.277190 0.050661 1.487642 -v -0.277319 0.050341 1.487753 -v -0.277238 0.050111 1.488020 -v -0.279513 0.052258 1.490430 -v -0.279457 0.052305 1.490453 -v -0.279429 0.052373 1.490430 -v -0.279447 0.052421 1.490373 -v -0.279498 0.052422 1.490317 -v -0.279554 0.052375 1.490293 -v -0.279581 0.052308 1.490317 -v -0.279564 0.052259 1.490373 -v 0.261144 0.021683 1.484534 -v 0.261497 0.019264 1.485546 -v 0.261926 0.016857 1.484534 -v 0.262180 0.015872 1.482091 -v 0.262109 0.016886 1.479648 -v 0.261756 0.019306 1.478636 -v 0.261327 0.021713 1.479648 -v 0.261073 0.022698 1.482091 -v 0.263146 0.021741 1.484345 -v 0.263462 0.019582 1.485248 -v 0.263844 0.017435 1.484345 -v 0.264071 0.016556 1.482165 -v 0.264007 0.017461 1.479986 -v 0.263692 0.019620 1.479083 -v 0.263310 0.021767 1.479986 -v 0.263083 0.022646 1.482165 -v 0.265149 0.021798 1.484156 -v 0.265426 0.019901 1.484950 -v 0.265762 0.018013 1.484156 -v 0.265961 0.017241 1.482240 -v 0.265906 0.018036 1.480325 -v 0.265629 0.019934 1.479531 -v 0.265292 0.021821 1.480325 -v 0.265094 0.022594 1.482240 -v 0.267383 0.021893 1.483976 -v 0.267622 0.020257 1.484661 -v 0.267912 0.018629 1.483976 -v 0.268083 0.017963 1.482324 -v 0.268035 0.018649 1.480672 -v 0.267796 0.020285 1.479987 -v 0.267506 0.021913 1.480672 -v 0.267335 0.022579 1.482324 -v 0.269540 0.021975 1.483793 -v 0.269740 0.020600 1.484369 -v 0.269984 0.019232 1.483793 -v 0.270128 0.018672 1.482405 -v 0.270088 0.019249 1.481016 -v 0.269887 0.020624 1.480441 -v 0.269643 0.021992 1.481016 -v 0.269499 0.022552 1.482405 -v 0.271465 0.022020 1.483602 -v 0.271628 0.020906 1.484068 -v 0.271825 0.019797 1.483602 -v 0.271942 0.019344 1.482477 -v 0.271909 0.019811 1.481351 -v 0.271747 0.020925 1.480886 -v 0.271549 0.022034 1.481351 -v 0.271432 0.022487 1.482477 -v 0.273622 0.022102 1.483419 -v 0.273746 0.021249 1.483776 -v 0.273897 0.020401 1.483419 -v 0.273987 0.020053 1.482557 -v 0.273962 0.020411 1.481696 -v 0.273837 0.021264 1.481339 -v 0.273686 0.022113 1.481696 -v 0.273597 0.022460 1.482557 -v 0.275778 0.022185 1.483236 -v 0.275865 0.021593 1.483484 -v 0.275970 0.021004 1.483236 -v 0.276032 0.020763 1.482638 -v 0.276014 0.021011 1.482040 -v 0.275928 0.021603 1.481793 -v 0.275823 0.022192 1.482040 -v 0.275761 0.022433 1.482638 -v 0.277704 0.022230 1.483044 -v 0.277752 0.021899 1.483183 -v 0.277811 0.021569 1.483044 -v 0.277845 0.021435 1.482710 -v 0.277836 0.021573 1.482376 -v 0.277787 0.021904 1.482237 -v 0.277729 0.022234 1.482376 -v 0.277694 0.022368 1.482710 -v 0.279860 0.022312 1.482862 -v 0.279871 0.022242 1.482891 -v 0.279883 0.022172 1.482862 -v 0.279890 0.022144 1.482791 -v 0.279888 0.022173 1.482720 -v 0.279878 0.022243 1.482691 -v 0.279866 0.022313 1.482720 -v 0.279858 0.022341 1.482791 -v 0.224099 -0.083889 1.565369 -v 0.221640 -0.084363 1.566224 -v 0.219613 -0.085834 1.565369 -v 0.219205 -0.087440 1.563307 -v 0.220657 -0.088242 1.561244 -v 0.223116 -0.087768 1.560390 -v 0.225143 -0.086297 1.561244 -v 0.225550 -0.084690 1.563307 -v 0.224978 -0.086579 1.566849 -v 0.222784 -0.087002 1.567612 -v 0.220975 -0.088314 1.566849 -v 0.220612 -0.089748 1.565009 -v 0.221907 -0.090463 1.563169 -v 0.224101 -0.090040 1.562407 -v 0.225909 -0.088728 1.563169 -v 0.226272 -0.087294 1.565009 -v 0.225856 -0.089270 1.568330 -v 0.223928 -0.089641 1.569000 -v 0.222338 -0.090795 1.568330 -v 0.222019 -0.092055 1.566712 -v 0.223157 -0.092683 1.565095 -v 0.225085 -0.092312 1.564425 -v 0.226675 -0.091158 1.565095 -v 0.226994 -0.089898 1.566712 -v 0.226861 -0.092252 1.570012 -v 0.225198 -0.092572 1.570590 -v 0.223827 -0.093567 1.570012 -v 0.223552 -0.094653 1.568617 -v 0.224533 -0.095195 1.567222 -v 0.226196 -0.094875 1.566644 -v 0.227567 -0.093880 1.567222 -v 0.227843 -0.092794 1.568617 -v 0.227824 -0.095136 1.571627 -v 0.226426 -0.095405 1.572113 -v 0.225274 -0.096242 1.571627 -v 0.225043 -0.097155 1.570455 -v 0.225867 -0.097610 1.569282 -v 0.227265 -0.097341 1.568797 -v 0.228417 -0.096505 1.569282 -v 0.228649 -0.095592 1.570455 -v 0.228661 -0.097730 1.573040 -v 0.227528 -0.097948 1.573433 -v 0.226595 -0.098625 1.573040 -v 0.226407 -0.099365 1.572090 -v 0.227075 -0.099734 1.571140 -v 0.228208 -0.099516 1.570747 -v 0.229141 -0.098839 1.571140 -v 0.229329 -0.098099 1.572090 -v 0.229623 -0.100614 1.574655 -v 0.228756 -0.100781 1.574956 -v 0.228041 -0.101300 1.574655 -v 0.227898 -0.101867 1.573928 -v 0.228410 -0.102149 1.573200 -v 0.229277 -0.101982 1.572899 -v 0.229991 -0.101463 1.573200 -v 0.230135 -0.100897 1.573928 -v 0.230586 -0.103499 1.576270 -v 0.229984 -0.103615 1.576479 -v 0.229488 -0.103975 1.576270 -v 0.229389 -0.104368 1.575765 -v 0.229744 -0.104564 1.575260 -v 0.230346 -0.104448 1.575051 -v 0.230842 -0.104088 1.575260 -v 0.230941 -0.103695 1.575765 -v 0.231423 -0.106092 1.577683 -v 0.231086 -0.106157 1.577800 -v 0.230809 -0.106358 1.577683 -v 0.230753 -0.106578 1.577401 -v 0.230952 -0.106688 1.577118 -v 0.231288 -0.106623 1.577001 -v 0.231566 -0.106422 1.577118 -v 0.231621 -0.106202 1.577401 -v 0.232386 -0.108977 1.579298 -v 0.232314 -0.108991 1.579323 -v 0.232256 -0.109033 1.579298 -v 0.232244 -0.109080 1.579238 -v 0.232286 -0.109103 1.579179 -v 0.232357 -0.109089 1.579154 -v 0.232416 -0.109047 1.579179 -v 0.232428 -0.109000 1.579238 -v 0.141747 0.196973 1.479409 -v 0.144102 0.196137 1.480279 -v 0.145917 0.194419 1.479409 -v 0.146127 0.192824 1.477307 -v 0.144611 0.192287 1.475206 -v 0.142256 0.193123 1.474336 -v 0.140442 0.194841 1.475206 -v 0.140231 0.196436 1.477307 -v 0.143057 0.198605 1.477867 -v 0.145158 0.197860 1.478643 -v 0.146776 0.196327 1.477867 -v 0.146964 0.194904 1.475992 -v 0.145612 0.194426 1.474118 -v 0.143511 0.195171 1.473341 -v 0.141892 0.196704 1.474118 -v 0.141704 0.198127 1.475992 -v 0.144366 0.200238 1.476325 -v 0.146213 0.199583 1.477007 -v 0.147636 0.198235 1.476325 -v 0.147801 0.196985 1.474677 -v 0.146612 0.196564 1.473029 -v 0.144765 0.197219 1.472347 -v 0.143342 0.198567 1.473029 -v 0.143177 0.199817 1.474677 -v 0.145813 0.202095 1.474627 -v 0.147406 0.201530 1.475216 -v 0.148633 0.200367 1.474627 -v 0.148775 0.199289 1.473206 -v 0.147750 0.198926 1.471785 -v 0.146157 0.199491 1.471196 -v 0.144930 0.200653 1.471785 -v 0.144787 0.201732 1.473206 -v 0.147214 0.203877 1.472981 -v 0.148553 0.203402 1.473476 -v 0.149584 0.202425 1.472981 -v 0.149704 0.201519 1.471787 -v 0.148842 0.201213 1.470592 -v 0.147503 0.201688 1.470098 -v 0.146472 0.202665 1.470592 -v 0.146352 0.203572 1.471787 -v 0.148478 0.205435 1.471491 -v 0.149562 0.205050 1.471892 -v 0.150398 0.204259 1.471491 -v 0.150495 0.203524 1.470523 -v 0.149797 0.203277 1.469556 -v 0.148712 0.203662 1.469155 -v 0.147877 0.204453 1.469556 -v 0.147780 0.205188 1.470523 -v 0.149879 0.207217 1.469845 -v 0.150709 0.206922 1.470152 -v 0.151349 0.206316 1.469845 -v 0.151423 0.205754 1.469104 -v 0.150889 0.205565 1.468364 -v 0.150058 0.205859 1.468057 -v 0.149418 0.206465 1.468364 -v 0.149344 0.207028 1.469104 -v 0.151280 0.208999 1.468199 -v 0.151856 0.208794 1.468412 -v 0.152300 0.208374 1.468199 -v 0.152352 0.207984 1.467685 -v 0.151981 0.207852 1.467171 -v 0.151404 0.208057 1.466958 -v 0.150960 0.208477 1.467171 -v 0.150909 0.208868 1.467685 -v 0.152544 0.210557 1.466710 -v 0.152866 0.210443 1.466829 -v 0.153114 0.210208 1.466710 -v 0.153143 0.209989 1.466422 -v 0.152935 0.209916 1.466135 -v 0.152613 0.210030 1.466015 -v 0.152365 0.210265 1.466135 -v 0.152336 0.210484 1.466422 -v 0.153945 0.212339 1.465064 -v 0.154013 0.212315 1.465089 -v 0.154065 0.212265 1.465064 -v 0.154071 0.212219 1.465003 -v 0.154027 0.212203 1.464942 -v 0.153959 0.212228 1.464917 -v 0.153907 0.212277 1.464942 -v 0.153901 0.212323 1.465003 -v -0.028709 0.282929 1.700923 -v -0.026215 0.282502 1.701699 -v -0.023839 0.283371 1.700923 -v -0.022973 0.285028 1.699051 -v -0.024124 0.286502 1.697178 -v -0.026617 0.286929 1.696403 -v -0.028993 0.286060 1.697178 -v -0.029859 0.284403 1.699051 -v -0.028620 0.284871 1.702196 -v -0.026396 0.284490 1.702887 -v -0.024276 0.285265 1.702196 -v -0.023503 0.286744 1.700525 -v -0.024530 0.288059 1.698855 -v -0.026754 0.288440 1.698163 -v -0.028874 0.287664 1.698855 -v -0.029647 0.286186 1.700525 -v -0.028532 0.286813 1.703468 -v -0.026576 0.286478 1.704076 -v -0.024713 0.287160 1.703468 -v -0.024034 0.288459 1.702000 -v -0.024936 0.289615 1.700531 -v -0.026891 0.289950 1.699923 -v -0.028755 0.289268 1.700531 -v -0.029434 0.287969 1.702000 -v -0.028462 0.288963 1.704916 -v -0.026776 0.288674 1.705440 -v -0.025169 0.289262 1.704916 -v -0.024583 0.290383 1.703649 -v -0.025361 0.291379 1.702383 -v -0.027047 0.291668 1.701859 -v -0.028654 0.291080 1.702383 -v -0.029240 0.289960 1.703649 -v -0.028386 0.291043 1.706305 -v -0.026969 0.290800 1.706746 -v -0.025618 0.291295 1.706305 -v -0.025126 0.292237 1.705241 -v -0.025780 0.293074 1.704176 -v -0.027197 0.293317 1.703736 -v -0.028548 0.292823 1.704176 -v -0.029040 0.291881 1.705241 -v -0.028291 0.292916 1.707519 -v -0.027143 0.292719 1.707877 -v -0.026049 0.293120 1.707519 -v -0.025650 0.293883 1.706657 -v -0.026180 0.294562 1.705795 -v -0.027328 0.294759 1.705438 -v -0.028422 0.294358 1.705795 -v -0.028821 0.293595 1.706657 -v -0.028215 0.294997 1.708909 -v -0.027336 0.294846 1.709182 -v -0.026498 0.295153 1.708909 -v -0.026193 0.295737 1.708248 -v -0.026598 0.296257 1.707588 -v -0.027478 0.296407 1.707314 -v -0.028315 0.296101 1.707588 -v -0.028621 0.295517 1.708248 -v -0.028139 0.297077 1.710298 -v -0.027529 0.296973 1.710488 -v -0.026948 0.297186 1.710298 -v -0.026736 0.297591 1.709840 -v -0.027017 0.297952 1.709381 -v -0.027627 0.298056 1.709192 -v -0.028209 0.297844 1.709381 -v -0.028421 0.297438 1.709840 -v -0.028044 0.298950 1.711512 -v -0.027703 0.298892 1.711618 -v -0.027378 0.299011 1.711512 -v -0.027260 0.299237 1.711256 -v -0.027417 0.299439 1.711000 -v -0.027758 0.299498 1.710894 -v -0.028083 0.299379 1.711000 -v -0.028202 0.299152 1.711256 -v -0.027968 0.301031 1.712901 -v -0.027896 0.301018 1.712924 -v -0.027828 0.301044 1.712901 -v -0.027803 0.301091 1.712847 -v -0.027836 0.301134 1.712793 -v -0.027908 0.301146 1.712771 -v -0.027977 0.301121 1.712793 -v -0.028002 0.301073 1.712847 -v 0.224715 0.147671 1.551575 -v 0.224975 0.145207 1.552503 -v 0.226016 0.142958 1.551575 -v 0.227228 0.142242 1.549335 -v 0.227902 0.143478 1.547094 -v 0.227642 0.145943 1.546166 -v 0.226601 0.148192 1.547094 -v 0.225389 0.148908 1.549335 -v 0.228465 0.148432 1.552953 -v 0.228696 0.146233 1.553782 -v 0.229625 0.144227 1.552953 -v 0.230706 0.143588 1.550955 -v 0.231307 0.144691 1.548956 -v 0.231075 0.146890 1.548128 -v 0.230147 0.148896 1.548956 -v 0.229065 0.149535 1.550955 -v 0.232214 0.149193 1.554332 -v 0.232417 0.147260 1.555060 -v 0.233233 0.145496 1.554332 -v 0.234184 0.144935 1.552575 -v 0.234712 0.145904 1.550818 -v 0.234509 0.147837 1.550090 -v 0.233693 0.149601 1.550818 -v 0.232742 0.150162 1.552575 -v 0.236387 0.150071 1.555902 -v 0.236563 0.148404 1.556530 -v 0.237267 0.146883 1.555902 -v 0.238087 0.146398 1.554387 -v 0.238542 0.147235 1.552872 -v 0.238367 0.148901 1.552244 -v 0.237663 0.150422 1.552872 -v 0.236843 0.150907 1.554387 -v 0.240419 0.150909 1.557409 -v 0.240567 0.149508 1.557936 -v 0.241159 0.148230 1.557409 -v 0.241848 0.147823 1.556135 -v 0.242231 0.148526 1.554862 -v 0.242083 0.149927 1.554334 -v 0.241491 0.151205 1.554862 -v 0.240802 0.151612 1.556135 -v 0.244027 0.151631 1.558723 -v 0.244147 0.150496 1.559150 -v 0.244626 0.149460 1.558723 -v 0.245184 0.149131 1.557691 -v 0.245494 0.149700 1.556659 -v 0.245375 0.150835 1.556232 -v 0.244896 0.151871 1.556659 -v 0.244337 0.152200 1.557691 -v 0.248059 0.152470 1.560229 -v 0.248151 0.151601 1.560557 -v 0.248518 0.150808 1.560229 -v 0.248945 0.150555 1.559439 -v 0.249183 0.150991 1.558649 -v 0.249091 0.151860 1.558322 -v 0.248724 0.152653 1.558649 -v 0.248297 0.152906 1.559439 -v 0.252091 0.153308 1.561736 -v 0.252155 0.152705 1.561963 -v 0.252410 0.152155 1.561736 -v 0.252706 0.151980 1.561187 -v 0.252871 0.152282 1.560639 -v 0.252808 0.152885 1.560412 -v 0.252553 0.153436 1.560639 -v 0.252256 0.153611 1.561187 -v 0.255699 0.154030 1.563050 -v 0.255735 0.153693 1.563177 -v 0.255877 0.153385 1.563050 -v 0.256043 0.153287 1.562743 -v 0.256135 0.153456 1.562437 -v 0.256099 0.153794 1.562310 -v 0.255957 0.154101 1.562437 -v 0.255791 0.154199 1.562743 -v 0.259731 0.154869 1.564556 -v 0.259739 0.154798 1.564583 -v 0.259769 0.154733 1.564556 -v 0.259804 0.154712 1.564491 -v 0.259823 0.154748 1.564427 -v 0.259816 0.154819 1.564400 -v 0.259786 0.154884 1.564427 -v 0.259751 0.154905 1.564491 -v -0.012959 -0.258401 1.830697 -v -0.015220 -0.257222 1.831404 -v -0.017759 -0.257465 1.830697 -v -0.019087 -0.258989 1.828989 -v -0.018428 -0.260901 1.827282 -v -0.016167 -0.262080 1.826575 -v -0.013629 -0.261836 1.827282 -v -0.012300 -0.260312 1.828989 -v -0.013979 -0.262256 1.834398 -v -0.015996 -0.261205 1.835029 -v -0.018261 -0.261422 1.834398 -v -0.019446 -0.262782 1.832875 -v -0.018858 -0.264487 1.831352 -v -0.016841 -0.265539 1.830721 -v -0.014577 -0.265321 1.831352 -v -0.013391 -0.263962 1.832875 -v -0.015000 -0.266112 1.838099 -v -0.016773 -0.265187 1.838654 -v -0.018763 -0.265379 1.838099 -v -0.019805 -0.266574 1.836761 -v -0.019288 -0.268073 1.835422 -v -0.017515 -0.268997 1.834867 -v -0.015525 -0.268806 1.835422 -v -0.014483 -0.267611 1.836761 -v -0.016106 -0.270409 1.842262 -v -0.017635 -0.269612 1.842740 -v -0.019352 -0.269777 1.842262 -v -0.020250 -0.270807 1.841107 -v -0.019804 -0.272100 1.839953 -v -0.018275 -0.272898 1.839475 -v -0.016559 -0.272733 1.839953 -v -0.015660 -0.271702 1.841107 -v -0.017183 -0.274559 1.846271 -v -0.018469 -0.273889 1.846673 -v -0.019911 -0.274028 1.846271 -v -0.020667 -0.274894 1.845301 -v -0.020292 -0.275980 1.844330 -v -0.019007 -0.276651 1.843928 -v -0.017564 -0.276512 1.844330 -v -0.016809 -0.275646 1.845301 -v -0.018175 -0.278268 1.849819 -v -0.019216 -0.277725 1.850144 -v -0.020385 -0.277837 1.849819 -v -0.020997 -0.278539 1.849033 -v -0.020693 -0.279419 1.848246 -v -0.019652 -0.279962 1.847921 -v -0.018483 -0.279850 1.848246 -v -0.017871 -0.279148 1.849033 -v -0.019253 -0.282418 1.853828 -v -0.020050 -0.282002 1.854077 -v -0.020945 -0.282088 1.853828 -v -0.021413 -0.282626 1.853226 -v -0.021181 -0.283300 1.852624 -v -0.020384 -0.283715 1.852374 -v -0.019489 -0.283629 1.852624 -v -0.019020 -0.283092 1.853226 -v -0.020330 -0.286568 1.857836 -v -0.020883 -0.286280 1.858009 -v -0.021505 -0.286339 1.857836 -v -0.021830 -0.286712 1.857419 -v -0.021668 -0.287180 1.857001 -v -0.021115 -0.287468 1.856828 -v -0.020494 -0.287409 1.857001 -v -0.020169 -0.287036 1.857419 -v -0.021322 -0.290277 1.861384 -v -0.021631 -0.290115 1.861481 -v -0.021978 -0.290149 1.861384 -v -0.022160 -0.290357 1.861151 -v -0.022070 -0.290619 1.860917 -v -0.021760 -0.290780 1.860820 -v -0.021413 -0.290747 1.860917 -v -0.021231 -0.290538 1.861151 -v -0.022399 -0.294427 1.865393 -v -0.022465 -0.294393 1.865414 -v -0.022538 -0.294400 1.865393 -v -0.022576 -0.294444 1.865344 -v -0.022557 -0.294499 1.865294 -v -0.022492 -0.294533 1.865274 -v -0.022419 -0.294526 1.865294 -v -0.022380 -0.294482 1.865344 -v -0.240837 -0.121936 1.757783 -v -0.239627 -0.119633 1.758265 -v -0.240183 -0.117091 1.757783 -v -0.242179 -0.115799 1.756621 -v -0.244446 -0.116515 1.755459 -v -0.245656 -0.118818 1.754978 -v -0.245101 -0.121361 1.755459 -v -0.243104 -0.122652 1.756621 -v -0.242911 -0.121390 1.761168 -v -0.241831 -0.119335 1.761597 -v -0.242327 -0.117067 1.761168 -v -0.244108 -0.115915 1.760131 -v -0.246130 -0.116554 1.759095 -v -0.247210 -0.118609 1.758665 -v -0.246714 -0.120876 1.759095 -v -0.244934 -0.122029 1.760131 -v -0.244985 -0.120844 1.764553 -v -0.244036 -0.119037 1.764930 -v -0.244471 -0.117044 1.764553 -v -0.246037 -0.116031 1.763641 -v -0.247815 -0.116592 1.762730 -v -0.248764 -0.118399 1.762353 -v -0.248328 -0.120392 1.762730 -v -0.246763 -0.121405 1.763641 -v -0.247281 -0.120267 1.768354 -v -0.246463 -0.118710 1.768679 -v -0.246839 -0.116990 1.768354 -v -0.248189 -0.116117 1.767568 -v -0.249722 -0.116601 1.766782 -v -0.250540 -0.118159 1.766456 -v -0.250165 -0.119878 1.766782 -v -0.248815 -0.120751 1.767568 -v -0.249504 -0.119701 1.772016 -v -0.248816 -0.118392 1.772290 -v -0.249132 -0.116947 1.772016 -v -0.250266 -0.116213 1.771356 -v -0.251555 -0.116619 1.770695 -v -0.252243 -0.117929 1.770422 -v -0.251927 -0.119374 1.770695 -v -0.250792 -0.120108 1.771356 -v -0.251503 -0.119165 1.775262 -v -0.250946 -0.118104 1.775483 -v -0.251202 -0.116933 1.775262 -v -0.252121 -0.116339 1.774727 -v -0.253165 -0.116668 1.774191 -v -0.253722 -0.117729 1.773970 -v -0.253466 -0.118900 1.774191 -v -0.252547 -0.119494 1.774727 -v -0.253725 -0.118598 1.778924 -v -0.253299 -0.117786 1.779094 -v -0.253495 -0.116890 1.778924 -v -0.254199 -0.116434 1.778514 -v -0.254998 -0.116687 1.778105 -v -0.255425 -0.117499 1.777935 -v -0.255229 -0.118395 1.778105 -v -0.254525 -0.118851 1.778514 -v -0.255948 -0.118032 1.782586 -v -0.255652 -0.117468 1.782704 -v -0.255788 -0.116846 1.782586 -v -0.256276 -0.116530 1.782302 -v -0.256831 -0.116705 1.782018 -v -0.257127 -0.117269 1.781900 -v -0.256991 -0.117891 1.782018 -v -0.256503 -0.118207 1.782302 -v -0.257947 -0.117496 1.785832 -v -0.257782 -0.117181 1.785898 -v -0.257858 -0.116833 1.785832 -v -0.258131 -0.116656 1.785673 -v -0.258441 -0.116754 1.785514 -v -0.258607 -0.117069 1.785448 -v -0.258531 -0.117417 1.785514 -v -0.258257 -0.117594 1.785673 -v -0.260170 -0.116929 1.789495 -v -0.260135 -0.116863 1.789508 -v -0.260151 -0.116789 1.789495 -v -0.260208 -0.116752 1.789461 -v -0.260274 -0.116772 1.789427 -v -0.260309 -0.116839 1.789413 -v -0.260293 -0.116913 1.789427 -v -0.260235 -0.116950 1.789461 -v -0.199672 -0.220758 1.678608 -v -0.201216 -0.218972 1.679553 -v -0.203083 -0.217526 1.678608 -v -0.204178 -0.217267 1.676327 -v -0.203861 -0.218347 1.674047 -v -0.202316 -0.220132 1.673102 -v -0.200449 -0.221579 1.674047 -v -0.199354 -0.221838 1.676327 -v -0.201143 -0.221943 1.678811 -v -0.202521 -0.220349 1.679654 -v -0.204187 -0.219059 1.678811 -v -0.205164 -0.218828 1.676776 -v -0.204880 -0.219791 1.674741 -v -0.203502 -0.221385 1.673898 -v -0.201836 -0.222675 1.674741 -v -0.200859 -0.222906 1.676776 -v -0.202614 -0.223127 1.679014 -v -0.203826 -0.221726 1.679755 -v -0.205290 -0.220592 1.679014 -v -0.206149 -0.220389 1.677225 -v -0.205900 -0.221236 1.675436 -v -0.204688 -0.222637 1.674695 -v -0.203224 -0.223771 1.675436 -v -0.202365 -0.223974 1.677225 -v -0.204233 -0.224468 1.679270 -v -0.205278 -0.223259 1.679909 -v -0.206542 -0.222281 1.679270 -v -0.207283 -0.222106 1.677727 -v -0.207068 -0.222836 1.676183 -v -0.206022 -0.224045 1.675544 -v -0.204759 -0.225023 1.676183 -v -0.204018 -0.225199 1.677727 -v -0.205803 -0.225757 1.679509 -v -0.206682 -0.224741 1.680046 -v -0.207744 -0.223918 1.679509 -v -0.208367 -0.223770 1.678211 -v -0.208186 -0.224385 1.676913 -v -0.207307 -0.225401 1.676376 -v -0.206245 -0.226224 1.676913 -v -0.205622 -0.226371 1.678211 -v -0.207225 -0.226889 1.679694 -v -0.207937 -0.226066 1.680129 -v -0.208798 -0.225399 1.679694 -v -0.209303 -0.225279 1.678642 -v -0.209156 -0.225777 1.677590 -v -0.208444 -0.226601 1.677155 -v -0.207583 -0.227268 1.677590 -v -0.207078 -0.227387 1.678642 -v -0.208794 -0.228178 1.679932 -v -0.209340 -0.227547 1.680266 -v -0.210000 -0.227036 1.679932 -v -0.210387 -0.226944 1.679126 -v -0.210275 -0.227326 1.678320 -v -0.209729 -0.227957 1.677986 -v -0.209069 -0.228468 1.678320 -v -0.208682 -0.228560 1.679126 -v -0.210364 -0.229467 1.680171 -v -0.210744 -0.229028 1.680403 -v -0.211202 -0.228673 1.680171 -v -0.211471 -0.228609 1.679610 -v -0.211393 -0.228874 1.679050 -v -0.211014 -0.229313 1.678818 -v -0.210555 -0.229668 1.679050 -v -0.210286 -0.229732 1.679610 -v -0.211786 -0.230599 1.680356 -v -0.211999 -0.230353 1.680486 -v -0.212256 -0.230154 1.680356 -v -0.212407 -0.230118 1.680041 -v -0.212364 -0.230267 1.679727 -v -0.212151 -0.230513 1.679597 -v -0.211893 -0.230712 1.679727 -v -0.211742 -0.230748 1.680041 -v -0.213356 -0.231888 1.680594 -v -0.213402 -0.231834 1.680623 -v -0.213458 -0.231791 1.680594 -v -0.213491 -0.231783 1.680526 -v -0.213482 -0.231815 1.680457 -v -0.213435 -0.231869 1.680429 -v -0.213379 -0.231913 1.680457 -v -0.213346 -0.231921 1.680526 -v 0.170359 0.009638 1.888725 -v 0.171614 0.007414 1.889421 -v 0.173887 0.006252 1.888725 -v 0.175848 0.006833 1.887045 -v 0.176347 0.008816 1.885365 -v 0.175093 0.011039 1.884670 -v 0.172819 0.012201 1.885365 -v 0.170859 0.011621 1.887045 -v 0.172072 0.011042 1.890666 -v 0.173191 0.009058 1.891287 -v 0.175219 0.008021 1.890666 -v 0.176968 0.008539 1.889168 -v 0.177414 0.010308 1.887669 -v 0.176295 0.012292 1.887048 -v 0.174267 0.013328 1.887669 -v 0.172518 0.012811 1.889168 -v 0.173785 0.012445 1.892607 -v 0.174768 0.010701 1.893153 -v 0.176551 0.009790 1.892607 -v 0.178089 0.010245 1.891290 -v 0.178480 0.011800 1.889973 -v 0.177497 0.013544 1.889427 -v 0.175714 0.014455 1.889973 -v 0.174176 0.014000 1.891290 -v 0.175662 0.014021 1.894800 -v 0.176511 0.012517 1.895271 -v 0.178048 0.011731 1.894800 -v 0.179374 0.012123 1.893664 -v 0.179712 0.013464 1.892528 -v 0.178864 0.014968 1.892057 -v 0.177326 0.015754 1.892528 -v 0.176000 0.015362 1.893664 -v 0.177485 0.015539 1.896909 -v 0.178198 0.014275 1.897305 -v 0.179490 0.013614 1.896909 -v 0.180605 0.013944 1.895954 -v 0.180888 0.015071 1.895000 -v 0.180175 0.016335 1.894604 -v 0.178883 0.016996 1.895000 -v 0.177769 0.016666 1.895954 -v 0.179143 0.016885 1.898766 -v 0.179720 0.015861 1.899087 -v 0.180767 0.015326 1.898766 -v 0.181670 0.015593 1.897993 -v 0.181900 0.016506 1.897219 -v 0.181323 0.017530 1.896899 -v 0.180276 0.018065 1.897219 -v 0.179373 0.017798 1.897993 -v 0.180965 0.018403 1.900875 -v 0.181408 0.017619 1.901121 -v 0.182209 0.017209 1.900875 -v 0.182901 0.017414 1.900283 -v 0.183077 0.018113 1.899691 -v 0.182634 0.018897 1.899445 -v 0.181833 0.019307 1.899691 -v 0.181141 0.019102 1.900283 -v 0.182788 0.019921 1.902984 -v 0.183095 0.019377 1.903154 -v 0.183651 0.019093 1.902984 -v 0.184131 0.019235 1.902573 -v 0.184253 0.019720 1.902162 -v 0.183946 0.020264 1.901992 -v 0.183390 0.020548 1.902162 -v 0.182910 0.020406 1.902573 -v 0.184446 0.021268 1.904841 -v 0.184617 0.020963 1.904936 -v 0.184928 0.020804 1.904841 -v 0.185197 0.020884 1.904611 -v 0.185265 0.021155 1.904382 -v 0.185093 0.021459 1.904287 -v 0.184782 0.021618 1.904382 -v 0.184514 0.021539 1.904611 -v 0.186268 0.022786 1.906950 -v 0.186305 0.022721 1.906970 -v 0.186370 0.022688 1.906950 -v 0.186427 0.022705 1.906902 -v 0.186442 0.022762 1.906853 -v 0.186405 0.022826 1.906833 -v 0.186340 0.022860 1.906853 -v 0.186283 0.022843 1.906902 -v 0.149249 -0.166433 1.810408 -v 0.148016 -0.168482 1.811390 -v 0.146997 -0.170645 1.810408 -v 0.146789 -0.171655 1.808038 -v 0.147513 -0.170921 1.805668 -v 0.148746 -0.168872 1.804687 -v 0.149765 -0.166709 1.805668 -v 0.149973 -0.165699 1.808038 -v 0.152400 -0.168410 1.810607 -v 0.151300 -0.170238 1.811483 -v 0.150391 -0.172167 1.810607 -v 0.150205 -0.173069 1.808492 -v 0.150851 -0.172413 1.806378 -v 0.151951 -0.170586 1.805502 -v 0.152860 -0.168656 1.806378 -v 0.153046 -0.167755 1.808492 -v 0.155550 -0.170386 1.810805 -v 0.154584 -0.171993 1.811575 -v 0.153784 -0.173690 1.810805 -v 0.153621 -0.174482 1.808946 -v 0.154189 -0.173906 1.807088 -v 0.155156 -0.172299 1.806318 -v 0.155955 -0.170602 1.807088 -v 0.156119 -0.169810 1.808946 -v 0.159086 -0.172568 1.811058 -v 0.158252 -0.173954 1.811722 -v 0.157563 -0.175418 1.811058 -v 0.157422 -0.176101 1.809454 -v 0.157912 -0.175604 1.807851 -v 0.158746 -0.174218 1.807187 -v 0.159435 -0.172755 1.807851 -v 0.159576 -0.172071 1.809454 -v 0.162494 -0.174682 1.811292 -v 0.161793 -0.175847 1.811850 -v 0.161213 -0.177077 1.811292 -v 0.161095 -0.177652 1.809944 -v 0.161507 -0.177234 1.808596 -v 0.162208 -0.176069 1.808038 -v 0.162787 -0.174839 1.808596 -v 0.162906 -0.174264 1.809944 -v 0.165516 -0.176590 1.811473 -v 0.164948 -0.177534 1.811925 -v 0.164478 -0.178531 1.811473 -v 0.164382 -0.178996 1.810380 -v 0.164716 -0.178658 1.809288 -v 0.165284 -0.177714 1.808836 -v 0.165754 -0.176717 1.809288 -v 0.165850 -0.176251 1.810380 -v 0.168923 -0.178703 1.811707 -v 0.168488 -0.179426 1.812054 -v 0.168129 -0.180190 1.811707 -v 0.168055 -0.180547 1.810870 -v 0.168311 -0.180288 1.810034 -v 0.168746 -0.179564 1.809687 -v 0.169106 -0.178800 1.810034 -v 0.169179 -0.178444 1.810870 -v 0.172331 -0.180817 1.811942 -v 0.172029 -0.181319 1.812182 -v 0.171779 -0.181850 1.811942 -v 0.171728 -0.182097 1.811360 -v 0.171905 -0.181917 1.810779 -v 0.172208 -0.181415 1.810538 -v 0.172457 -0.180884 1.810779 -v 0.172509 -0.180637 1.811360 -v 0.175353 -0.182724 1.812122 -v 0.175184 -0.183006 1.812257 -v 0.175044 -0.183303 1.812122 -v 0.175015 -0.183442 1.811796 -v 0.175115 -0.183341 1.811471 -v 0.175284 -0.183060 1.811336 -v 0.175424 -0.182762 1.811471 -v 0.175453 -0.182623 1.811796 -v 0.178761 -0.184838 1.812356 -v 0.178724 -0.184899 1.812386 -v 0.178694 -0.184963 1.812356 -v 0.178688 -0.184993 1.812286 -v 0.178709 -0.184971 1.812216 -v 0.178746 -0.184910 1.812187 -v 0.178776 -0.184846 1.812216 -v 0.178782 -0.184816 1.812286 -v 0.151076 -0.051927 1.896124 -v 0.148627 -0.051154 1.896764 -v 0.146186 -0.051950 1.896124 -v 0.145183 -0.053849 1.894579 -v 0.146204 -0.055739 1.893034 -v 0.148652 -0.056513 1.892394 -v 0.151093 -0.055717 1.893034 -v 0.152097 -0.053817 1.894579 -v 0.150821 -0.053804 1.898007 -v 0.148637 -0.053114 1.898578 -v 0.146459 -0.053825 1.898007 -v 0.145563 -0.055519 1.896629 -v 0.146475 -0.057205 1.895251 -v 0.148659 -0.057895 1.894680 -v 0.150837 -0.057185 1.895251 -v 0.151732 -0.055491 1.896629 -v 0.150566 -0.055682 1.899891 -v 0.148646 -0.055075 1.900393 -v 0.146731 -0.055700 1.899891 -v 0.145944 -0.057189 1.898680 -v 0.146745 -0.058671 1.897468 -v 0.148665 -0.059278 1.896966 -v 0.150580 -0.058654 1.897468 -v 0.151367 -0.057164 1.898680 -v 0.150312 -0.057758 1.902018 -v 0.148656 -0.057235 1.902451 -v 0.147005 -0.057773 1.902018 -v 0.146326 -0.059058 1.900973 -v 0.147017 -0.060336 1.899928 -v 0.148673 -0.060859 1.899496 -v 0.150324 -0.060321 1.899928 -v 0.151002 -0.059036 1.900973 -v 0.150057 -0.059767 1.904064 -v 0.148665 -0.059328 1.904428 -v 0.147278 -0.059780 1.904064 -v 0.146707 -0.060860 1.903186 -v 0.147288 -0.061934 1.902308 -v 0.148680 -0.062374 1.901944 -v 0.150067 -0.061921 1.902308 -v 0.150638 -0.060842 1.903186 -v 0.149802 -0.061579 1.905866 -v 0.148674 -0.061222 1.906161 -v 0.147550 -0.061589 1.905866 -v 0.147088 -0.062464 1.905155 -v 0.147558 -0.063334 1.904444 -v 0.148686 -0.063690 1.904149 -v 0.149810 -0.063324 1.904444 -v 0.150272 -0.062449 1.905155 -v 0.149547 -0.063588 1.907912 -v 0.148684 -0.063315 1.908138 -v 0.147823 -0.063596 1.907912 -v 0.147469 -0.064266 1.907368 -v 0.147829 -0.064933 1.906823 -v 0.148693 -0.065205 1.906597 -v 0.149554 -0.064924 1.906823 -v 0.149908 -0.064255 1.907368 -v 0.149293 -0.065598 1.909958 -v 0.148694 -0.065409 1.910115 -v 0.148096 -0.065603 1.909958 -v 0.147851 -0.066068 1.909580 -v 0.148101 -0.066531 1.909202 -v 0.148700 -0.066720 1.909045 -v 0.149297 -0.066525 1.909202 -v 0.149543 -0.066060 1.909580 -v 0.149038 -0.067409 1.911761 -v 0.148703 -0.067303 1.911848 -v 0.148369 -0.067412 1.911761 -v 0.148231 -0.067672 1.911549 -v 0.148371 -0.067931 1.911338 -v 0.148706 -0.068037 1.911250 -v 0.149040 -0.067928 1.911338 -v 0.149177 -0.067668 1.911549 -v 0.148783 -0.069419 1.913807 -v 0.148712 -0.069396 1.913825 -v 0.148642 -0.069419 1.913807 -v 0.148613 -0.069474 1.913762 -v 0.148642 -0.069529 1.913717 -v 0.148713 -0.069551 1.913699 -v 0.148784 -0.069528 1.913717 -v 0.148813 -0.069473 1.913762 -v 0.096000 -0.200031 1.780344 -v 0.093587 -0.200168 1.781260 -v 0.091247 -0.199564 1.780344 -v 0.090351 -0.198574 1.778131 -v 0.091423 -0.197777 1.775918 -v 0.093836 -0.197640 1.775002 -v 0.096176 -0.198244 1.775918 -v 0.097072 -0.199234 1.778131 -v 0.095311 -0.204415 1.778268 -v 0.093158 -0.204537 1.779086 -v 0.091070 -0.203999 1.778268 -v 0.090270 -0.203115 1.776294 -v 0.091227 -0.202404 1.774320 -v 0.093380 -0.202282 1.773502 -v 0.095467 -0.202821 1.774320 -v 0.096267 -0.203704 1.776294 -v 0.094621 -0.208800 1.776192 -v 0.092729 -0.208907 1.776911 -v 0.090894 -0.208434 1.776192 -v 0.090190 -0.207657 1.774456 -v 0.091031 -0.207032 1.772721 -v 0.092924 -0.206925 1.772002 -v 0.094759 -0.207398 1.772721 -v 0.095462 -0.208175 1.774456 -v 0.093880 -0.213719 1.773898 -v 0.092247 -0.213811 1.774518 -v 0.090664 -0.213403 1.773898 -v 0.090058 -0.212733 1.772401 -v 0.090783 -0.212194 1.770904 -v 0.092415 -0.212101 1.770284 -v 0.093998 -0.212510 1.770904 -v 0.094605 -0.213180 1.772401 -v 0.093155 -0.218460 1.771677 -v 0.091783 -0.218537 1.772198 -v 0.090452 -0.218194 1.771677 -v 0.089942 -0.217631 1.770418 -v 0.090552 -0.217178 1.769160 -v 0.091924 -0.217100 1.768639 -v 0.093255 -0.217443 1.769160 -v 0.093765 -0.218006 1.770418 -v 0.092483 -0.222666 1.769673 -v 0.091371 -0.222729 1.770096 -v 0.090293 -0.222451 1.769673 -v 0.089880 -0.221994 1.768654 -v 0.090374 -0.221627 1.767634 -v 0.091486 -0.221564 1.767211 -v 0.092564 -0.221842 1.767634 -v 0.092978 -0.222298 1.768654 -v 0.091759 -0.227407 1.767452 -v 0.090907 -0.227455 1.767776 -v 0.090081 -0.227242 1.767452 -v 0.089764 -0.226892 1.766671 -v 0.090143 -0.226611 1.765890 -v 0.090995 -0.226562 1.765566 -v 0.091821 -0.226775 1.765890 -v 0.092138 -0.227125 1.766671 -v 0.091035 -0.232147 1.765231 -v 0.090443 -0.232181 1.765456 -v 0.089869 -0.232033 1.765231 -v 0.089649 -0.231790 1.764688 -v 0.089912 -0.231594 1.764146 -v 0.090504 -0.231561 1.763921 -v 0.091078 -0.231709 1.764146 -v 0.091298 -0.231952 1.764688 -v 0.090363 -0.236353 1.763228 -v 0.090031 -0.236372 1.763354 -v 0.089710 -0.236289 1.763228 -v 0.089586 -0.236153 1.762924 -v 0.089734 -0.236044 1.762619 -v 0.090065 -0.236025 1.762494 -v 0.090387 -0.236108 1.762619 -v 0.090510 -0.236244 1.762924 -v 0.089638 -0.241094 1.761006 -v 0.089567 -0.241098 1.761034 -v 0.089498 -0.241080 1.761006 -v 0.089471 -0.241051 1.760941 -v 0.089503 -0.241027 1.760875 -v 0.089574 -0.241023 1.760848 -v 0.089644 -0.241041 1.760875 -v 0.089670 -0.241071 1.760941 -v 0.127101 0.025780 1.996564 -v 0.127206 0.023200 1.997140 -v 0.128864 0.021220 1.996564 -v 0.131104 0.021000 1.995173 -v 0.132614 0.022669 1.993782 -v 0.132510 0.025250 1.993206 -v 0.130852 0.027230 1.993782 -v 0.128611 0.027450 1.995173 -v 0.128025 0.025855 1.997384 -v 0.128118 0.023552 1.997898 -v 0.129597 0.021786 1.997384 -v 0.131596 0.021590 1.996143 -v 0.132943 0.023079 1.994902 -v 0.132850 0.025381 1.994388 -v 0.131370 0.027148 1.994902 -v 0.129372 0.027344 1.996143 -v 0.128948 0.025929 1.998204 -v 0.129030 0.023905 1.998656 -v 0.130330 0.022352 1.998204 -v 0.132087 0.022180 1.997113 -v 0.133272 0.023489 1.996022 -v 0.133190 0.025513 1.995570 -v 0.131889 0.027065 1.996022 -v 0.130132 0.027238 1.997113 -v 0.129946 0.026031 1.999139 -v 0.130017 0.024286 1.999529 -v 0.131138 0.022947 1.999139 -v 0.132653 0.022798 1.998198 -v 0.133675 0.023927 1.997257 -v 0.133604 0.025673 1.996868 -v 0.132482 0.027012 1.997257 -v 0.130967 0.027160 1.998198 -v 0.130919 0.026125 2.000036 -v 0.130978 0.024658 2.000363 -v 0.131921 0.023532 2.000036 -v 0.133194 0.023407 1.999245 -v 0.134053 0.024356 1.998454 -v 0.133993 0.025823 1.998127 -v 0.133051 0.026949 1.998454 -v 0.131777 0.027074 1.999245 -v 0.131818 0.026189 2.000818 -v 0.131866 0.025001 2.001083 -v 0.132629 0.024089 2.000818 -v 0.133661 0.023988 2.000177 -v 0.134357 0.024757 1.999536 -v 0.134308 0.025945 1.999271 -v 0.133545 0.026857 1.999536 -v 0.132513 0.026958 2.000177 -v 0.132791 0.026283 2.001714 -v 0.132827 0.025373 2.001917 -v 0.133412 0.024674 2.001714 -v 0.134202 0.024597 2.001224 -v 0.134735 0.025185 2.000733 -v 0.134698 0.026095 2.000530 -v 0.134113 0.026794 2.000733 -v 0.133323 0.026871 2.001224 -v 0.133764 0.026376 2.002611 -v 0.133789 0.025744 2.002752 -v 0.134195 0.025260 2.002611 -v 0.134743 0.025206 2.002270 -v 0.135113 0.025614 2.001930 -v 0.135087 0.026246 2.001789 -v 0.134681 0.026731 2.001930 -v 0.134133 0.026784 2.002270 -v 0.134662 0.026440 2.003392 -v 0.134677 0.026087 2.003471 -v 0.134903 0.025816 2.003392 -v 0.135210 0.025786 2.003202 -v 0.135417 0.026015 2.003012 -v 0.135402 0.026368 2.002933 -v 0.135175 0.026639 2.003012 -v 0.134869 0.026669 2.003202 -v 0.135635 0.026534 2.004289 -v 0.135638 0.026459 2.004306 -v 0.135686 0.026402 2.004289 -v 0.135751 0.026395 2.004249 -v 0.135795 0.026444 2.004209 -v 0.135792 0.026518 2.004192 -v 0.135744 0.026576 2.004209 -v 0.135679 0.026582 2.004249 -v 0.177566 0.111114 1.888919 -v 0.177322 0.109025 1.889700 -v 0.177790 0.106974 1.888919 -v 0.178694 0.106163 1.887032 -v 0.179506 0.107067 1.885145 -v 0.179749 0.109156 1.884364 -v 0.179282 0.111207 1.885145 -v 0.178378 0.112018 1.887032 -v 0.181176 0.111087 1.890316 -v 0.180959 0.109222 1.891013 -v 0.181376 0.107391 1.890316 -v 0.182183 0.106667 1.888631 -v 0.182908 0.107474 1.886947 -v 0.183125 0.109339 1.886250 -v 0.182708 0.111170 1.886947 -v 0.181901 0.111894 1.888631 -v 0.184787 0.111059 1.891713 -v 0.184595 0.109418 1.892326 -v 0.184962 0.107807 1.891713 -v 0.185673 0.107170 1.890231 -v 0.186310 0.107880 1.888749 -v 0.186501 0.109521 1.888135 -v 0.186134 0.111132 1.888749 -v 0.185424 0.111769 1.890231 -v 0.188801 0.111053 1.893294 -v 0.188667 0.109639 1.893837 -v 0.189004 0.108249 1.893317 -v 0.189614 0.107699 1.892036 -v 0.190141 0.108310 1.890746 -v 0.190275 0.109725 1.890203 -v 0.189938 0.111114 1.890723 -v 0.189327 0.111665 1.892004 -v 0.192720 0.111210 1.894742 -v 0.192637 0.110022 1.895212 -v 0.192940 0.108854 1.894782 -v 0.193452 0.108391 1.893704 -v 0.193873 0.108904 1.892608 -v 0.193956 0.110092 1.892137 -v 0.193653 0.111259 1.892567 -v 0.193141 0.111723 1.893646 -v 0.196264 0.111347 1.896018 -v 0.196132 0.110378 1.896371 -v 0.196337 0.109427 1.896003 -v 0.196757 0.109052 1.895129 -v 0.197148 0.109471 1.894262 -v 0.197280 0.110440 1.893909 -v 0.197076 0.111391 1.894276 -v 0.196655 0.111767 1.895150 -v 0.200112 0.110992 1.897706 -v 0.199897 0.110253 1.897919 -v 0.199979 0.109525 1.897599 -v 0.200312 0.109236 1.896932 -v 0.200699 0.109554 1.896310 -v 0.200915 0.110294 1.896097 -v 0.200832 0.111021 1.896417 -v 0.200500 0.111310 1.897084 -v 0.203704 0.109963 1.899631 -v 0.203478 0.109463 1.899735 -v 0.203486 0.108966 1.899481 -v 0.203725 0.108762 1.899019 -v 0.204053 0.108972 1.898620 -v 0.204279 0.109472 1.898516 -v 0.204270 0.109969 1.898770 -v 0.204032 0.110172 1.899232 -v 0.206677 0.108567 1.901454 -v 0.206531 0.108289 1.901501 -v 0.206525 0.108010 1.901350 -v 0.206662 0.107894 1.901088 -v 0.206862 0.108008 1.900869 -v 0.207007 0.108286 1.900822 -v 0.207014 0.108565 1.900974 -v 0.206877 0.108681 1.901236 -v 0.210003 0.107050 1.903513 -v 0.209971 0.106982 1.903526 -v 0.209971 0.106914 1.903491 -v 0.210004 0.106886 1.903427 -v 0.210050 0.106915 1.903373 -v 0.210082 0.106983 1.903360 -v 0.210082 0.107051 1.903395 -v 0.210049 0.107079 1.903458 -v 0.094975 -0.129910 1.924542 -v 0.093362 -0.130947 1.925335 -v 0.091801 -0.132060 1.924542 -v 0.091207 -0.132598 1.922629 -v 0.091927 -0.132246 1.920715 -v 0.093540 -0.131209 1.919923 -v 0.095101 -0.130096 1.920715 -v 0.095695 -0.129558 1.922629 -v 0.095794 -0.131485 1.924440 -v 0.094354 -0.132411 1.925148 -v 0.092960 -0.133405 1.924440 -v 0.092429 -0.133885 1.922732 -v 0.093072 -0.133571 1.921023 -v 0.094513 -0.132645 1.920315 -v 0.095907 -0.131651 1.921023 -v 0.096437 -0.131171 1.922732 -v 0.096613 -0.133060 1.924338 -v 0.095345 -0.133875 1.924961 -v 0.094118 -0.134750 1.924338 -v 0.093651 -0.135173 1.922834 -v 0.094217 -0.134896 1.921330 -v 0.095485 -0.134081 1.920707 -v 0.096712 -0.133206 1.921330 -v 0.097179 -0.132783 1.922834 -v 0.097549 -0.134808 1.924248 -v 0.096454 -0.135511 1.924786 -v 0.095394 -0.136267 1.924248 -v 0.094990 -0.136633 1.922949 -v 0.095479 -0.136393 1.921650 -v 0.096574 -0.135690 1.921112 -v 0.097634 -0.134934 1.921650 -v 0.098038 -0.134568 1.922949 -v 0.098446 -0.136497 1.924154 -v 0.097523 -0.137090 1.924608 -v 0.096630 -0.137727 1.924154 -v 0.096290 -0.138035 1.923060 -v 0.096702 -0.137833 1.921965 -v 0.097625 -0.137240 1.921512 -v 0.098518 -0.136604 1.921965 -v 0.098858 -0.136296 1.923060 -v 0.099226 -0.138015 1.924048 -v 0.098476 -0.138497 1.924417 -v 0.097750 -0.139015 1.924048 -v 0.097474 -0.139265 1.923158 -v 0.097809 -0.139101 1.922269 -v 0.098559 -0.138619 1.921900 -v 0.099284 -0.138102 1.922269 -v 0.099561 -0.137851 1.923158 -v 0.100123 -0.139705 1.923954 -v 0.099545 -0.140076 1.924238 -v 0.098987 -0.140474 1.923954 -v 0.098774 -0.140667 1.923269 -v 0.099032 -0.140541 1.922584 -v 0.099609 -0.140170 1.922301 -v 0.100168 -0.139771 1.922584 -v 0.100380 -0.139579 1.923269 -v 0.101019 -0.141395 1.923860 -v 0.100615 -0.141655 1.924059 -v 0.100223 -0.141934 1.923860 -v 0.100074 -0.142069 1.923380 -v 0.100255 -0.141981 1.922900 -v 0.100659 -0.141721 1.922701 -v 0.101051 -0.141441 1.922900 -v 0.101200 -0.141306 1.923380 -v 0.101800 -0.142913 1.923754 -v 0.101567 -0.143062 1.923868 -v 0.101343 -0.143222 1.923754 -v 0.101257 -0.143299 1.923479 -v 0.101361 -0.143249 1.923203 -v 0.101593 -0.143100 1.923089 -v 0.101818 -0.142939 1.923203 -v 0.101903 -0.142862 1.923479 -v 0.102696 -0.144602 1.923660 -v 0.102637 -0.144641 1.923689 -v 0.102579 -0.144682 1.923660 -v 0.102557 -0.144702 1.923589 -v 0.102584 -0.144689 1.923519 -v 0.102643 -0.144650 1.923490 -v 0.102701 -0.144609 1.923519 -v 0.102723 -0.144589 1.923589 -v 0.146198 0.162585 1.869535 -v 0.148195 0.162072 1.870389 -v 0.150197 0.161578 1.869535 -v 0.151031 0.161392 1.867474 -v 0.150208 0.161623 1.865412 -v 0.148211 0.162136 1.864558 -v 0.146210 0.162629 1.865412 -v 0.145376 0.162816 1.867474 -v 0.146911 0.164508 1.869337 -v 0.148693 0.164050 1.870099 -v 0.150480 0.163609 1.869337 -v 0.151224 0.163443 1.867497 -v 0.150490 0.163649 1.865656 -v 0.148707 0.164107 1.864894 -v 0.146921 0.164548 1.865656 -v 0.146176 0.164714 1.867497 -v 0.147623 0.166430 1.869139 -v 0.149191 0.166028 1.869809 -v 0.150763 0.165640 1.869139 -v 0.151418 0.165494 1.867519 -v 0.150772 0.165675 1.865900 -v 0.149204 0.166078 1.865230 -v 0.147632 0.166466 1.865900 -v 0.146977 0.166612 1.867519 -v 0.148394 0.168588 1.868943 -v 0.149748 0.168240 1.869522 -v 0.151105 0.167905 1.868943 -v 0.151671 0.167779 1.867545 -v 0.151113 0.167936 1.866147 -v 0.149759 0.168283 1.865568 -v 0.148401 0.168618 1.866147 -v 0.147836 0.168744 1.867545 -v 0.149145 0.170667 1.868746 -v 0.150285 0.170374 1.869234 -v 0.151428 0.170092 1.868746 -v 0.151904 0.169986 1.867570 -v 0.151434 0.170118 1.866393 -v 0.150294 0.170410 1.865905 -v 0.149152 0.170692 1.866393 -v 0.148676 0.170799 1.867570 -v 0.149838 0.172512 1.868547 -v 0.150763 0.172274 1.868943 -v 0.151691 0.172045 1.868547 -v 0.152078 0.171959 1.867591 -v 0.151696 0.172066 1.866636 -v 0.150771 0.172303 1.866240 -v 0.149843 0.172532 1.866636 -v 0.149456 0.172619 1.867591 -v 0.150589 0.174591 1.868350 -v 0.151300 0.174408 1.868654 -v 0.152013 0.174232 1.868350 -v 0.152310 0.174166 1.867616 -v 0.152017 0.174248 1.866882 -v 0.151306 0.174431 1.866578 -v 0.150593 0.174607 1.866882 -v 0.150296 0.174673 1.867616 -v 0.151341 0.176670 1.868154 -v 0.151838 0.176542 1.868366 -v 0.152336 0.176419 1.868154 -v 0.152543 0.176373 1.867641 -v 0.152339 0.176430 1.867128 -v 0.151842 0.176558 1.866915 -v 0.151343 0.176681 1.867128 -v 0.151136 0.176727 1.867641 -v 0.152033 0.178515 1.867954 -v 0.152316 0.178442 1.868075 -v 0.152599 0.178372 1.867954 -v 0.152717 0.178346 1.867662 -v 0.152601 0.178378 1.867370 -v 0.152318 0.178451 1.867250 -v 0.152035 0.178521 1.867370 -v 0.151917 0.178547 1.867662 -v 0.152785 0.180594 1.867758 -v 0.152853 0.180576 1.867787 -v 0.152922 0.180559 1.867758 -v 0.152950 0.180553 1.867687 -v 0.152922 0.180561 1.867616 -v 0.152854 0.180578 1.867587 -v 0.152785 0.180595 1.867616 -v 0.152756 0.180602 1.867687 -v -0.164337 -0.119825 2.096795 -v -0.166272 -0.118192 2.097564 -v -0.168766 -0.117753 2.096795 -v -0.170358 -0.118766 2.094940 -v -0.170116 -0.120638 2.093086 -v -0.168181 -0.122272 2.092317 -v -0.165687 -0.122711 2.093086 -v -0.164095 -0.121697 2.094940 -v -0.165293 -0.121246 2.097900 -v -0.167019 -0.119789 2.098586 -v -0.169244 -0.119397 2.097900 -v -0.170665 -0.120301 2.096246 -v -0.170449 -0.121971 2.094591 -v -0.168723 -0.123429 2.093906 -v -0.166498 -0.123820 2.094591 -v -0.165077 -0.122916 2.096246 -v -0.166249 -0.122667 2.099006 -v -0.167767 -0.121386 2.099608 -v -0.169722 -0.121042 2.099006 -v -0.170971 -0.121836 2.097551 -v -0.170781 -0.123304 2.096097 -v -0.169264 -0.124585 2.095494 -v -0.167308 -0.124929 2.096097 -v -0.166060 -0.124135 2.097551 -v -0.167282 -0.124251 2.100266 -v -0.168590 -0.123146 2.100785 -v -0.170277 -0.122849 2.100266 -v -0.171354 -0.123535 2.099012 -v -0.171190 -0.124801 2.097757 -v -0.169882 -0.125906 2.097238 -v -0.168195 -0.126202 2.097757 -v -0.167118 -0.125517 2.099012 -v -0.168289 -0.125781 2.101475 -v -0.169389 -0.124852 2.101911 -v -0.170806 -0.124603 2.101475 -v -0.171711 -0.125179 2.100420 -v -0.171574 -0.126243 2.099366 -v -0.170474 -0.127171 2.098930 -v -0.169056 -0.127421 2.099366 -v -0.168151 -0.126844 2.100420 -v -0.169220 -0.127147 2.102529 -v -0.170110 -0.126394 2.102882 -v -0.171259 -0.126192 2.102529 -v -0.171992 -0.126659 2.101674 -v -0.171881 -0.127521 2.100820 -v -0.170990 -0.128274 2.100466 -v -0.169841 -0.128476 2.100820 -v -0.169108 -0.128009 2.101674 -v -0.170227 -0.128676 2.103737 -v -0.170909 -0.128100 2.104008 -v -0.171788 -0.127946 2.103737 -v -0.172350 -0.128303 2.103083 -v -0.172264 -0.128963 2.102429 -v -0.171582 -0.129539 2.102158 -v -0.170703 -0.129694 2.102429 -v -0.170141 -0.129337 2.103083 -v -0.171234 -0.130206 2.104946 -v -0.171707 -0.129806 2.105134 -v -0.172317 -0.129699 2.104946 -v -0.172707 -0.129947 2.104492 -v -0.172648 -0.130405 2.104038 -v -0.172174 -0.130805 2.103850 -v -0.171564 -0.130912 2.104038 -v -0.171174 -0.130664 2.104492 -v -0.172164 -0.131572 2.105999 -v -0.172429 -0.131349 2.106104 -v -0.172770 -0.131289 2.105999 -v -0.172988 -0.131428 2.105746 -v -0.172955 -0.131684 2.105492 -v -0.172690 -0.131907 2.105387 -v -0.172349 -0.131967 2.105492 -v -0.172131 -0.131829 2.105746 -v -0.173171 -0.133102 2.107208 -v -0.173227 -0.133055 2.107230 -v -0.173299 -0.133042 2.107208 -v -0.173345 -0.133071 2.107154 -v -0.173338 -0.133126 2.107100 -v -0.173282 -0.133173 2.107078 -v -0.173210 -0.133186 2.107100 -v -0.173164 -0.133156 2.107154 -v -0.142514 0.054383 2.124200 -v -0.140966 0.055513 2.124748 -v -0.140257 0.057294 2.124200 -v -0.140801 0.058681 2.122876 -v -0.142280 0.058862 2.121552 -v -0.143827 0.057732 2.121004 -v -0.144537 0.055952 2.121552 -v -0.143993 0.054565 2.122876 -v -0.143210 0.055172 2.124925 -v -0.141828 0.056181 2.125415 -v -0.141194 0.057771 2.124925 -v -0.141680 0.059010 2.123743 -v -0.143001 0.059172 2.122560 -v -0.144383 0.058162 2.122070 -v -0.145017 0.056573 2.122560 -v -0.144531 0.055334 2.123743 -v -0.143906 0.055960 2.125650 -v -0.142689 0.056849 2.126081 -v -0.142131 0.058249 2.125650 -v -0.142559 0.059340 2.124609 -v -0.143722 0.059482 2.123568 -v -0.144939 0.058593 2.123137 -v -0.145496 0.057194 2.123568 -v -0.145069 0.056103 2.124609 -v -0.144686 0.056814 2.126478 -v -0.143635 0.057582 2.126851 -v -0.143153 0.058792 2.126478 -v -0.143522 0.059734 2.125579 -v -0.144527 0.059857 2.124679 -v -0.145578 0.059089 2.124306 -v -0.146060 0.057880 2.124679 -v -0.145691 0.056937 2.125579 -v -0.145438 0.057646 2.127272 -v -0.144552 0.058294 2.127586 -v -0.144146 0.059313 2.127272 -v -0.144457 0.060107 2.126514 -v -0.145304 0.060211 2.125756 -v -0.146190 0.059564 2.125442 -v -0.146596 0.058544 2.125756 -v -0.146285 0.057750 2.126514 -v -0.146106 0.058413 2.127963 -v -0.145385 0.058940 2.128218 -v -0.145055 0.059769 2.127963 -v -0.145308 0.060415 2.127346 -v -0.145997 0.060499 2.126729 -v -0.146718 0.059973 2.126474 -v -0.147048 0.059144 2.126729 -v -0.146795 0.058498 2.127346 -v -0.146858 0.059245 2.128757 -v -0.146303 0.059651 2.128953 -v -0.146048 0.060290 2.128757 -v -0.146243 0.060788 2.128281 -v -0.146774 0.060853 2.127806 -v -0.147330 0.060447 2.127609 -v -0.147584 0.059808 2.127806 -v -0.147389 0.059310 2.128281 -v -0.147610 0.060077 2.129550 -v -0.147220 0.060362 2.129689 -v -0.147041 0.060811 2.129550 -v -0.147179 0.061161 2.129217 -v -0.147551 0.061206 2.128883 -v -0.147941 0.060921 2.128745 -v -0.148120 0.060473 2.128883 -v -0.147983 0.060123 2.129217 -v -0.148278 0.060844 2.130241 -v -0.148053 0.061008 2.130321 -v -0.147950 0.061267 2.130241 -v -0.148029 0.061468 2.130049 -v -0.148244 0.061495 2.129857 -v -0.148469 0.061330 2.129777 -v -0.148572 0.061072 2.129857 -v -0.148493 0.060870 2.130049 -v -0.149030 0.061676 2.131035 -v -0.148971 0.061720 2.131056 -v -0.148944 0.061788 2.131035 -v -0.148965 0.061841 2.130984 -v -0.149021 0.061848 2.130933 -v -0.149081 0.061805 2.130912 -v -0.149108 0.061736 2.130933 -v -0.149087 0.061683 2.130984 -v -0.240092 -0.070461 2.042834 -v -0.240723 -0.068489 2.043683 -v -0.241557 -0.066594 2.042834 -v -0.242106 -0.065886 2.040783 -v -0.242049 -0.066780 2.038733 -v -0.241419 -0.068752 2.037884 -v -0.240584 -0.070647 2.038733 -v -0.240035 -0.071355 2.040783 -v -0.242130 -0.070995 2.042879 -v -0.242693 -0.069235 2.043637 -v -0.243437 -0.067544 2.042879 -v -0.243928 -0.066912 2.041049 -v -0.243877 -0.067710 2.039218 -v -0.243314 -0.069470 2.038460 -v -0.242569 -0.071162 2.039218 -v -0.242079 -0.071793 2.041049 -v -0.244168 -0.071530 2.042924 -v -0.244663 -0.069981 2.043591 -v -0.245318 -0.068493 2.042924 -v -0.245749 -0.067937 2.041314 -v -0.245704 -0.068640 2.039703 -v -0.245209 -0.070188 2.039036 -v -0.244554 -0.071676 2.039703 -v -0.244123 -0.072232 2.041314 -v -0.246435 -0.072151 2.043001 -v -0.246862 -0.070814 2.043576 -v -0.247428 -0.069530 2.043001 -v -0.247800 -0.069050 2.041610 -v -0.247762 -0.069656 2.040220 -v -0.247334 -0.070993 2.039644 -v -0.246769 -0.072278 2.040220 -v -0.246396 -0.072758 2.041610 -v -0.248626 -0.072744 2.043067 -v -0.248985 -0.071618 2.043551 -v -0.249461 -0.070537 2.043067 -v -0.249775 -0.070133 2.041896 -v -0.249742 -0.070643 2.040726 -v -0.249382 -0.071769 2.040241 -v -0.248906 -0.072850 2.040726 -v -0.248593 -0.073254 2.041896 -v -0.250587 -0.073249 2.043101 -v -0.250879 -0.072336 2.043495 -v -0.251266 -0.071458 2.043101 -v -0.251520 -0.071130 2.042151 -v -0.251494 -0.071544 2.041201 -v -0.251201 -0.072458 2.040807 -v -0.250815 -0.073336 2.041201 -v -0.250560 -0.073664 2.042151 -v -0.252777 -0.073842 2.043167 -v -0.253002 -0.073140 2.043470 -v -0.253299 -0.072465 2.043167 -v -0.253495 -0.072213 2.042437 -v -0.253474 -0.072531 2.041707 -v -0.253250 -0.073234 2.041404 -v -0.252953 -0.073908 2.041707 -v -0.252757 -0.074160 2.042437 -v -0.254968 -0.074435 2.043233 -v -0.255125 -0.073944 2.043445 -v -0.255332 -0.073472 2.043233 -v -0.255469 -0.073296 2.042723 -v -0.255455 -0.073519 2.042213 -v -0.255298 -0.074009 2.042002 -v -0.255091 -0.074481 2.042213 -v -0.254954 -0.074657 2.042723 -v -0.256929 -0.074940 2.043268 -v -0.257019 -0.074661 2.043388 -v -0.257137 -0.074393 2.043268 -v -0.257214 -0.074293 2.042978 -v -0.257206 -0.074419 2.042688 -v -0.257117 -0.074698 2.042567 -v -0.256999 -0.074967 2.042688 -v -0.256921 -0.075067 2.042978 -v -0.259120 -0.075533 2.043334 -v -0.259142 -0.075465 2.043363 -v -0.259170 -0.075400 2.043334 -v -0.259189 -0.075376 2.043264 -v -0.259187 -0.075407 2.043194 -v -0.259165 -0.075474 2.043165 -v -0.259137 -0.075539 2.043194 -v -0.259118 -0.075563 2.043264 -v -0.096687 0.086627 2.102648 -v -0.095159 0.085790 2.103360 -v -0.093539 0.085148 2.102648 -v -0.092776 0.085078 2.100928 -v -0.093317 0.085620 2.099209 -v -0.094845 0.086457 2.098497 -v -0.096466 0.087098 2.099209 -v -0.097228 0.087169 2.100928 -v -0.095310 0.089123 2.102891 -v -0.093945 0.088375 2.103528 -v -0.092498 0.087802 2.102891 -v -0.091816 0.087739 2.101355 -v -0.092300 0.088223 2.099819 -v -0.093665 0.088971 2.099183 -v -0.095113 0.089544 2.099819 -v -0.095794 0.089607 2.101355 -v -0.093934 0.091619 2.103135 -v -0.092731 0.090960 2.103695 -v -0.091457 0.090455 2.103135 -v -0.090856 0.090400 2.101782 -v -0.091282 0.090827 2.100429 -v -0.092485 0.091485 2.099869 -v -0.093760 0.091990 2.100429 -v -0.094360 0.092045 2.101782 -v -0.092429 0.094387 2.103424 -v -0.091380 0.093838 2.103912 -v -0.090266 0.093428 2.103432 -v -0.089739 0.093397 2.102265 -v -0.090109 0.093763 2.101095 -v -0.091158 0.094312 2.100607 -v -0.092272 0.094721 2.101087 -v -0.092799 0.094752 2.102254 -v -0.091089 0.097125 2.103739 -v -0.090196 0.096682 2.104154 -v -0.089246 0.096362 2.103754 -v -0.088795 0.096351 2.102773 -v -0.089108 0.096657 2.101786 -v -0.090001 0.097100 2.101371 -v -0.090951 0.097420 2.101771 -v -0.091402 0.097430 2.102752 -v -0.089848 0.099658 2.104021 -v -0.089140 0.099255 2.104351 -v -0.088391 0.098939 2.104016 -v -0.088040 0.098896 2.103211 -v -0.088292 0.099151 2.102408 -v -0.089000 0.099554 2.102078 -v -0.089748 0.099870 2.102413 -v -0.090100 0.099913 2.103218 -v -0.088071 0.102332 2.104228 -v -0.087569 0.101946 2.104473 -v -0.087048 0.101607 2.104201 -v -0.086813 0.101514 2.103571 -v -0.087001 0.101720 2.102953 -v -0.087503 0.102106 2.102709 -v -0.088024 0.102445 2.102981 -v -0.088259 0.102539 2.103611 -v -0.085869 0.104632 2.104250 -v -0.085556 0.104313 2.104418 -v -0.085239 0.104014 2.104221 -v -0.085105 0.103911 2.103774 -v -0.085233 0.104063 2.103339 -v -0.085547 0.104381 2.103171 -v -0.085863 0.104680 2.103369 -v -0.085997 0.104784 2.103816 -v -0.083659 0.106353 2.104117 -v -0.083488 0.106158 2.104214 -v -0.083319 0.105971 2.104099 -v -0.083250 0.105903 2.103839 -v -0.083322 0.105992 2.103587 -v -0.083494 0.106188 2.103490 -v -0.083663 0.106374 2.103605 -v -0.083732 0.106443 2.103865 -v -0.081239 0.108281 2.103995 -v -0.081190 0.108229 2.104022 -v -0.081140 0.108180 2.103990 -v -0.081119 0.108163 2.103918 -v -0.081140 0.108188 2.103849 -v -0.081189 0.108240 2.103822 -v -0.081239 0.108289 2.103853 -v -0.081259 0.108306 2.103925 -v 0.130827 -0.148543 2.164459 -v 0.128426 -0.149209 2.165349 -v 0.126457 -0.150736 2.164459 -v 0.126074 -0.152230 2.162308 -v 0.127500 -0.152815 2.160157 -v 0.129901 -0.152149 2.159267 -v 0.131870 -0.150621 2.160157 -v 0.132254 -0.149128 2.162308 -v 0.132118 -0.151703 2.165999 -v 0.129976 -0.152298 2.166794 -v 0.128220 -0.153660 2.165999 -v 0.127878 -0.154993 2.164081 -v 0.129151 -0.155515 2.162163 -v 0.131293 -0.154920 2.161368 -v 0.133049 -0.153558 2.162163 -v 0.133391 -0.152225 2.164081 -v 0.133409 -0.154864 2.167541 -v 0.131527 -0.155386 2.168239 -v 0.129983 -0.156584 2.167541 -v 0.129682 -0.157755 2.165854 -v 0.130801 -0.158214 2.164168 -v 0.132684 -0.157692 2.163469 -v 0.134228 -0.156494 2.164168 -v 0.134528 -0.155323 2.165854 -v 0.134875 -0.158372 2.169292 -v 0.133251 -0.158823 2.169894 -v 0.131920 -0.159856 2.169292 -v 0.131661 -0.160866 2.167838 -v 0.132626 -0.161262 2.166383 -v 0.134249 -0.160811 2.165781 -v 0.135581 -0.159778 2.166383 -v 0.135840 -0.158768 2.167838 -v 0.136283 -0.161765 2.170973 -v 0.134918 -0.162144 2.171479 -v 0.133799 -0.163012 2.170973 -v 0.133581 -0.163861 2.169751 -v 0.134392 -0.164193 2.168529 -v 0.135757 -0.163815 2.168022 -v 0.136876 -0.162947 2.168529 -v 0.137094 -0.162098 2.169751 -v 0.137516 -0.164810 2.172444 -v 0.136410 -0.165117 2.172854 -v 0.135504 -0.165820 2.172444 -v 0.135327 -0.166508 2.171454 -v 0.135984 -0.166777 2.170464 -v 0.137090 -0.166470 2.170053 -v 0.137997 -0.165767 2.170464 -v 0.138173 -0.165079 2.171454 -v 0.138924 -0.168202 2.174125 -v 0.138077 -0.168437 2.174440 -v 0.137383 -0.168976 2.174125 -v 0.137248 -0.169502 2.173367 -v 0.137751 -0.169709 2.172609 -v 0.138598 -0.169474 2.172295 -v 0.139292 -0.168935 2.172609 -v 0.139427 -0.168409 2.173367 -v 0.140332 -0.171595 2.175807 -v 0.139744 -0.171758 2.176025 -v 0.139262 -0.172132 2.175807 -v 0.139168 -0.172497 2.175281 -v 0.139518 -0.172640 2.174754 -v 0.140105 -0.172477 2.174536 -v 0.140587 -0.172104 2.174754 -v 0.140681 -0.171738 2.175281 -v 0.141565 -0.174640 2.177278 -v 0.141236 -0.174731 2.177400 -v 0.140967 -0.174940 2.177278 -v 0.140914 -0.175144 2.176984 -v 0.141110 -0.175224 2.176689 -v 0.141438 -0.175133 2.176568 -v 0.141708 -0.174924 2.176689 -v 0.141760 -0.174720 2.176984 -v 0.142972 -0.178032 2.178959 -v 0.142903 -0.178051 2.178985 -v 0.142846 -0.178096 2.178959 -v 0.142835 -0.178139 2.178897 -v 0.142876 -0.178156 2.178835 -v 0.142946 -0.178136 2.178809 -v 0.143003 -0.178092 2.178835 -v 0.143014 -0.178049 2.178897 -v 0.154132 0.072111 2.291049 -v 0.154594 0.069606 2.291765 -v 0.156333 0.067745 2.291049 -v 0.158331 0.067618 2.289318 -v 0.159418 0.069300 2.287588 -v 0.158956 0.071805 2.286871 -v 0.157217 0.073666 2.287588 -v 0.155219 0.073793 2.289318 -v 0.155902 0.072707 2.292521 -v 0.156314 0.070473 2.293160 -v 0.157865 0.068812 2.292521 -v 0.159648 0.068699 2.290977 -v 0.160617 0.070199 2.289434 -v 0.160205 0.072434 2.288795 -v 0.158653 0.074094 2.289434 -v 0.156871 0.074208 2.290977 -v 0.157671 0.073304 2.293993 -v 0.158033 0.071339 2.294555 -v 0.159397 0.069880 2.293993 -v 0.160964 0.069780 2.292636 -v 0.161816 0.071099 2.291280 -v 0.161454 0.073064 2.290717 -v 0.160090 0.074523 2.291280 -v 0.158523 0.074623 2.292636 -v 0.159617 0.073989 2.295662 -v 0.159929 0.072295 2.296147 -v 0.161105 0.071036 2.295662 -v 0.162456 0.070950 2.294492 -v 0.163191 0.072088 2.293322 -v 0.162879 0.073782 2.292837 -v 0.161703 0.075041 2.293322 -v 0.160351 0.075126 2.294492 -v 0.161503 0.074645 2.297266 -v 0.161766 0.073221 2.297673 -v 0.162754 0.072163 2.297266 -v 0.163890 0.072091 2.296283 -v 0.164508 0.073047 2.295299 -v 0.164245 0.074471 2.294892 -v 0.163257 0.075529 2.295299 -v 0.162121 0.075601 2.296283 -v 0.163214 0.075212 2.298673 -v 0.163427 0.074058 2.299003 -v 0.164227 0.073201 2.298673 -v 0.165148 0.073142 2.297876 -v 0.165648 0.073917 2.297079 -v 0.165435 0.075071 2.296749 -v 0.164634 0.075928 2.297079 -v 0.163714 0.075986 2.297876 -v 0.165101 0.075867 2.300276 -v 0.165263 0.074984 2.300529 -v 0.165877 0.074328 2.300276 -v 0.166581 0.074283 2.299666 -v 0.166964 0.074876 2.299056 -v 0.166802 0.075759 2.298803 -v 0.166188 0.076416 2.299056 -v 0.165484 0.076460 2.299666 -v 0.166987 0.076523 2.301880 -v 0.167100 0.075910 2.302055 -v 0.167526 0.075454 2.301880 -v 0.168015 0.075423 2.301456 -v 0.168281 0.075835 2.301033 -v 0.168168 0.076448 2.300858 -v 0.167742 0.076903 2.301033 -v 0.167253 0.076934 2.301456 -v 0.168698 0.077090 2.303287 -v 0.168761 0.076747 2.303385 -v 0.168999 0.076492 2.303287 -v 0.169273 0.076475 2.303050 -v 0.169421 0.076705 2.302813 -v 0.169358 0.077048 2.302715 -v 0.169120 0.077302 2.302813 -v 0.168847 0.077320 2.303050 -v 0.170585 0.077745 2.304890 -v 0.170598 0.077673 2.304911 -v 0.170649 0.077619 2.304890 -v 0.170706 0.077615 2.304840 -v 0.170738 0.077664 2.304790 -v 0.170724 0.077737 2.304769 -v 0.170674 0.077790 2.304790 -v 0.170616 0.077794 2.304840 -v -0.026344 0.016589 2.319416 -v -0.026006 0.016322 2.319462 -v -0.025577 0.016360 2.319416 -v -0.025308 0.016681 2.319304 -v -0.025357 0.017097 2.319193 -v -0.025695 0.017364 2.319147 -v -0.026124 0.017326 2.319193 -v -0.026393 0.017004 2.319304 -v -0.026185 0.016993 2.320779 -v -0.025878 0.016750 2.320821 -v -0.025489 0.016785 2.320779 -v -0.025244 0.017077 2.320678 -v -0.025289 0.017454 2.320577 -v -0.025596 0.017697 2.320535 -v -0.025986 0.017662 2.320577 -v -0.026230 0.017370 2.320678 -v -0.026027 0.017396 2.322143 -v -0.025751 0.017178 2.322181 -v -0.025400 0.017210 2.322143 -v -0.025181 0.017472 2.322052 -v -0.025221 0.017812 2.321961 -v -0.025497 0.018030 2.321923 -v -0.025847 0.017999 2.321961 -v -0.026067 0.017736 2.322052 -v -0.025855 0.017845 2.323669 -v -0.025610 0.017652 2.323703 -v -0.025298 0.017680 2.323669 -v -0.025103 0.017913 2.323589 -v -0.025139 0.018214 2.323508 -v -0.025384 0.018408 2.323475 -v -0.025695 0.018380 2.323508 -v -0.025890 0.018147 2.323589 -v -0.025687 0.018279 2.325142 -v -0.025473 0.018110 2.325171 -v -0.025201 0.018134 2.325142 -v -0.025030 0.018338 2.325071 -v -0.025062 0.018602 2.325001 -v -0.025276 0.018771 2.324971 -v -0.025548 0.018747 2.325001 -v -0.025718 0.018543 2.325071 -v -0.025533 0.018668 2.326451 -v -0.025350 0.018523 2.326476 -v -0.025117 0.018544 2.326451 -v -0.024971 0.018718 2.326391 -v -0.024998 0.018944 2.326330 -v -0.025181 0.019089 2.326305 -v -0.025414 0.019068 2.326330 -v -0.025560 0.018894 2.326391 -v -0.025366 0.019102 2.327923 -v -0.025213 0.018982 2.327944 -v -0.025019 0.018999 2.327923 -v -0.024898 0.019144 2.327873 -v -0.024920 0.019332 2.327823 -v -0.025073 0.019452 2.327802 -v -0.025266 0.019435 2.327823 -v -0.025388 0.019290 2.327873 -v -0.025198 0.019536 2.329395 -v -0.025076 0.019440 2.329412 -v -0.024922 0.019454 2.329395 -v -0.024825 0.019570 2.329355 -v -0.024843 0.019719 2.329315 -v -0.024965 0.019815 2.329299 -v -0.025119 0.019801 2.329315 -v -0.025216 0.019686 2.329355 -v -0.025044 0.019925 2.330704 -v -0.024953 0.019854 2.330717 -v -0.024838 0.019864 2.330704 -v -0.024766 0.019950 2.330675 -v -0.024779 0.020061 2.330645 -v -0.024870 0.020133 2.330632 -v -0.024985 0.020123 2.330645 -v -0.025057 0.020037 2.330675 -v -0.024876 0.020359 2.332176 -v -0.024817 0.020312 2.332185 -v -0.024741 0.020319 2.332176 -v -0.024693 0.020375 2.332157 -v -0.024702 0.020449 2.332137 -v -0.024762 0.020496 2.332129 -v -0.024837 0.020489 2.332137 -v -0.024885 0.020433 2.332157 -v -0.003169 0.022041 2.410298 -v -0.008005 0.019484 2.412074 -v -0.011115 0.014983 2.410298 -v -0.010677 0.011174 2.406010 -v -0.006946 0.010289 2.401722 -v -0.002110 0.012846 2.399945 -v 0.001000 0.017347 2.401722 -v 0.000562 0.021156 2.406010 -v -0.002576 0.020497 2.410709 -v -0.006883 0.018220 2.412291 -v -0.009652 0.014213 2.410709 -v -0.009261 0.010821 2.406891 -v -0.005940 0.010033 2.403073 -v -0.001633 0.012310 2.401492 -v 0.001136 0.016317 2.403073 -v 0.000745 0.019709 2.406891 -v -0.001984 0.018953 2.411120 -v -0.005760 0.016956 2.412507 -v -0.008188 0.013442 2.411120 -v -0.007846 0.010468 2.407772 -v -0.004934 0.009777 2.404424 -v -0.001157 0.011774 2.403038 -v 0.001271 0.015288 2.404424 -v 0.000928 0.018261 2.407772 -v -0.001297 0.017301 2.411636 -v -0.004543 0.015585 2.412828 -v -0.006630 0.012565 2.411636 -v -0.006336 0.010009 2.408758 -v -0.003832 0.009415 2.405880 -v -0.000586 0.011131 2.404688 -v 0.001501 0.014151 2.405880 -v 0.001207 0.016707 2.408758 -v -0.000641 0.015686 2.412117 -v -0.003357 0.014250 2.413114 -v -0.005103 0.011723 2.412117 -v -0.004857 0.009585 2.409709 -v -0.002763 0.009088 2.407301 -v -0.000047 0.010523 2.406304 -v 0.001699 0.013051 2.407301 -v 0.001453 0.015189 2.409709 -v -0.000081 0.014177 2.412493 -v -0.002266 0.013022 2.413295 -v -0.003671 0.010988 2.412493 -v -0.003473 0.009267 2.410555 -v -0.001788 0.008867 2.408617 -v 0.000398 0.010023 2.407815 -v 0.001803 0.012057 2.408617 -v 0.001605 0.013777 2.410555 -v 0.000575 0.012562 2.412973 -v -0.001080 0.011687 2.413581 -v -0.002145 0.010147 2.412973 -v -0.001995 0.008843 2.411506 -v -0.000718 0.008540 2.410038 -v 0.000937 0.009415 2.409431 -v 0.002001 0.010956 2.410038 -v 0.001851 0.012259 2.411506 -v 0.001230 0.010947 2.413454 -v 0.000105 0.010352 2.413867 -v -0.000618 0.009305 2.413454 -v -0.000516 0.008419 2.412457 -v 0.000352 0.008213 2.411459 -v 0.001477 0.008808 2.411046 -v 0.002200 0.009855 2.411459 -v 0.002098 0.010741 2.412457 -v 0.001791 0.009438 2.413830 -v 0.001196 0.009124 2.414049 -v 0.000814 0.008570 2.413830 -v 0.000868 0.008102 2.413303 -v 0.001327 0.007993 2.412776 -v 0.001921 0.008307 2.412558 -v 0.002304 0.008861 2.412776 -v 0.002250 0.009329 2.413303 -v 0.002447 0.007822 2.414311 -v 0.002382 0.007788 2.414335 -v 0.002341 0.007729 2.414311 -v 0.002347 0.007678 2.414254 -v 0.002396 0.007666 2.414197 -v 0.002461 0.007700 2.414173 -v 0.002502 0.007760 2.414197 -v 0.002496 0.007811 2.414254 -v -0.037419 0.052861 2.423669 -v -0.032918 0.052948 2.424296 -v -0.029645 0.056037 2.423669 -v -0.029516 0.060320 2.422155 -v -0.032607 0.063288 2.420641 -v -0.037108 0.063202 2.420015 -v -0.040381 0.060112 2.420641 -v -0.040510 0.055829 2.422155 -v -0.037440 0.054127 2.425448 -v -0.033431 0.054203 2.426006 -v -0.030516 0.056955 2.425448 -v -0.030401 0.060771 2.424099 -v -0.033154 0.063414 2.422751 -v -0.037163 0.063338 2.422193 -v -0.040079 0.060585 2.422751 -v -0.040194 0.056770 2.424099 -v -0.037462 0.055392 2.427227 -v -0.033944 0.055459 2.427717 -v -0.031386 0.057874 2.427227 -v -0.031285 0.061221 2.426044 -v -0.033701 0.063540 2.424861 -v -0.037218 0.063473 2.424371 -v -0.039776 0.061059 2.424861 -v -0.039877 0.057711 2.426044 -v -0.037517 0.056740 2.429236 -v -0.034491 0.056798 2.429658 -v -0.032291 0.058875 2.429236 -v -0.032204 0.061754 2.428219 -v -0.034282 0.063749 2.427201 -v -0.037307 0.063691 2.426780 -v -0.039508 0.061614 2.427201 -v -0.039595 0.058735 2.428219 -v -0.037561 0.058060 2.431169 -v -0.035027 0.058108 2.431522 -v -0.033184 0.059848 2.431169 -v -0.033111 0.062259 2.430317 -v -0.034851 0.063930 2.429465 -v -0.037385 0.063882 2.429112 -v -0.039228 0.062142 2.429465 -v -0.039301 0.059731 2.430317 -v -0.037571 0.059298 2.432871 -v -0.035528 0.059337 2.433156 -v -0.034043 0.060739 2.432871 -v -0.033984 0.062682 2.432184 -v -0.035387 0.064029 2.431498 -v -0.037429 0.063990 2.431213 -v -0.038915 0.062588 2.431498 -v -0.038973 0.060644 2.432184 -v -0.037615 0.060618 2.434804 -v -0.036064 0.060647 2.435020 -v -0.034936 0.061712 2.434804 -v -0.034892 0.063188 2.434283 -v -0.035957 0.064210 2.433761 -v -0.037507 0.064181 2.433545 -v -0.038635 0.063116 2.433761 -v -0.038680 0.061640 2.434283 -v -0.037658 0.061938 2.436737 -v -0.036599 0.061958 2.436884 -v -0.035829 0.062685 2.436737 -v -0.035799 0.063693 2.436381 -v -0.036526 0.064392 2.436024 -v -0.037585 0.064371 2.435877 -v -0.038356 0.063644 2.436024 -v -0.038386 0.062636 2.436381 -v -0.037669 0.063176 2.438439 -v -0.037101 0.063187 2.438518 -v -0.036689 0.063576 2.438439 -v -0.036672 0.064116 2.438248 -v -0.037062 0.064490 2.438057 -v -0.037629 0.064479 2.437978 -v -0.038042 0.064090 2.438057 -v -0.038058 0.063550 2.438248 -v -0.037713 0.064496 2.440372 -v -0.037637 0.064497 2.440382 -v -0.037582 0.064549 2.440372 -v -0.037579 0.064622 2.440346 -v -0.037631 0.064672 2.440321 -v -0.037707 0.064670 2.440310 -v -0.037762 0.064618 2.440321 -v -0.037765 0.064546 2.440346 -v 0.241322 0.163311 0.770284 -v 0.241223 0.162597 0.770559 -v 0.241344 0.161886 0.770284 -v 0.241613 0.161595 0.769623 -v 0.241873 0.161894 0.768961 -v 0.241971 0.162609 0.768687 -v 0.241850 0.163319 0.768961 -v 0.241581 0.163610 0.769623 -v 0.243885 0.163133 0.771072 -v 0.243816 0.162637 0.771262 -v 0.243900 0.162144 0.771072 -v 0.244087 0.161942 0.770613 -v 0.244267 0.162150 0.770154 -v 0.244335 0.162645 0.769963 -v 0.244252 0.163139 0.770154 -v 0.244065 0.163341 0.770613 -v 0.246448 0.162955 0.771860 -v 0.246410 0.162678 0.771966 -v 0.246456 0.162402 0.771860 -v 0.246561 0.162289 0.771603 -v 0.246661 0.162405 0.771346 -v 0.246700 0.162682 0.771240 -v 0.246653 0.162958 0.771346 -v 0.246548 0.163071 0.771603 -v 0.249305 0.162781 0.772765 -v 0.249297 0.162722 0.772788 -v 0.249307 0.162664 0.772765 -v 0.249329 0.162640 0.772711 -v 0.249350 0.162665 0.772657 -v 0.249358 0.162723 0.772634 -v 0.249348 0.162782 0.772657 -v 0.249326 0.162806 0.772711 -v 0.124891 0.198816 0.665609 -v 0.125783 0.198594 0.665956 -v 0.126561 0.198105 0.665609 -v 0.126769 0.197636 0.664772 -v 0.126286 0.197461 0.663936 -v 0.125395 0.197682 0.663589 -v 0.124617 0.198171 0.663936 -v 0.124408 0.198641 0.664772 -v 0.125609 0.200135 0.664827 -v 0.126359 0.199949 0.665119 -v 0.127014 0.199537 0.664827 -v 0.127189 0.199142 0.664123 -v 0.126783 0.198994 0.663419 -v 0.126033 0.199181 0.663127 -v 0.125378 0.199592 0.663419 -v 0.125202 0.199988 0.664123 -v 0.126326 0.201454 0.664045 -v 0.126936 0.201303 0.664282 -v 0.127467 0.200969 0.664045 -v 0.127610 0.200648 0.663474 -v 0.127280 0.200528 0.662902 -v 0.126670 0.200679 0.662665 -v 0.126139 0.201013 0.662902 -v 0.125996 0.201334 0.663474 -v 0.127116 0.202942 0.663186 -v 0.127584 0.202826 0.663368 -v 0.127992 0.202570 0.663186 -v 0.128102 0.202323 0.662747 -v 0.127848 0.202231 0.662308 -v 0.127380 0.202347 0.662126 -v 0.126972 0.202604 0.662308 -v 0.126863 0.202850 0.662747 -v 0.127882 0.204374 0.662353 -v 0.128208 0.204293 0.662480 -v 0.128493 0.204114 0.662353 -v 0.128570 0.203942 0.662046 -v 0.128393 0.203878 0.661740 -v 0.128066 0.203959 0.661613 -v 0.127781 0.204138 0.661740 -v 0.127705 0.204310 0.662046 -v 0.128575 0.205637 0.661597 -v 0.128761 0.205591 0.661669 -v 0.128923 0.205489 0.661597 -v 0.128966 0.205391 0.661423 -v 0.128866 0.205355 0.661248 -v 0.128680 0.205401 0.661176 -v 0.128518 0.205503 0.661248 -v 0.128475 0.205601 0.661423 -v 0.129341 0.207069 0.660763 -v 0.129385 0.207058 0.660781 -v 0.129424 0.207034 0.660763 -v 0.129434 0.207010 0.660722 -v 0.129410 0.207002 0.660680 -v 0.129366 0.207013 0.660663 -v 0.129327 0.207037 0.660680 -v 0.129317 0.207060 0.660722 -v 0.261381 0.034185 0.837453 -v 0.261227 0.033416 0.837754 -v 0.261301 0.032635 0.837453 -v 0.261558 0.032300 0.836728 -v 0.261849 0.032607 0.836002 -v 0.262002 0.033376 0.835702 -v 0.261929 0.034156 0.836002 -v 0.261671 0.034491 0.836728 -v 0.265266 0.033749 0.838678 -v 0.265159 0.033213 0.838887 -v 0.265210 0.032669 0.838678 -v 0.265390 0.032435 0.838172 -v 0.265592 0.032649 0.837666 -v 0.265699 0.033185 0.837457 -v 0.265648 0.033729 0.837666 -v 0.265468 0.033962 0.838172 -v 0.269151 0.033313 0.839902 -v 0.269091 0.033010 0.840020 -v 0.269119 0.032702 0.839902 -v 0.269221 0.032570 0.839616 -v 0.269335 0.032691 0.839330 -v 0.269396 0.032994 0.839212 -v 0.269367 0.033302 0.839330 -v 0.269266 0.033434 0.839616 -v 0.273489 0.032854 0.841298 -v 0.273475 0.032784 0.841325 -v 0.273481 0.032712 0.841298 -v 0.273505 0.032682 0.841232 -v 0.273531 0.032710 0.841166 -v 0.273545 0.032780 0.841138 -v 0.273539 0.032851 0.841166 -v 0.273515 0.032882 0.841232 -v -0.166122 0.079134 1.044181 -v -0.166021 0.079178 1.044222 -v -0.165941 0.079253 1.044181 -v -0.165929 0.079316 1.044083 -v -0.165991 0.079330 1.043984 -v -0.166092 0.079286 1.043943 -v -0.166173 0.079210 1.043984 -v -0.166185 0.079147 1.044083 -v -0.167537 0.081305 1.045370 -v -0.167447 0.081344 1.045406 -v -0.167376 0.081410 1.045370 -v -0.167365 0.081466 1.045283 -v -0.167421 0.081478 1.045196 -v -0.167510 0.081439 1.045160 -v -0.167581 0.081372 1.045196 -v -0.167592 0.081317 1.045283 -v -0.168951 0.083476 1.046559 -v -0.168873 0.083509 1.046590 -v -0.168811 0.083567 1.046559 -v -0.168802 0.083616 1.046483 -v -0.168850 0.083626 1.046408 -v -0.168928 0.083592 1.046376 -v -0.168989 0.083534 1.046408 -v -0.168999 0.083486 1.046483 -v -0.170534 0.085903 1.047890 -v -0.170468 0.085931 1.047917 -v -0.170415 0.085981 1.047890 -v -0.170407 0.086022 1.047826 -v -0.170448 0.086030 1.047762 -v -0.170514 0.086002 1.047735 -v -0.170566 0.085953 1.047762 -v -0.170574 0.085912 1.047826 -v -0.316961 0.051062 1.059818 -v -0.316947 0.052716 1.060501 -v -0.317030 0.054368 1.059818 -v -0.317163 0.055050 1.058169 -v -0.317267 0.054363 1.056520 -v -0.317281 0.052709 1.055837 -v -0.317197 0.051057 1.056520 -v -0.317065 0.050375 1.058169 -v -0.321203 0.051237 1.059858 -v -0.321190 0.052627 1.060432 -v -0.321261 0.054016 1.059858 -v -0.321372 0.054589 1.058472 -v -0.321460 0.054012 1.057086 -v -0.321472 0.052622 1.056512 -v -0.321401 0.051233 1.057086 -v -0.321290 0.050660 1.058472 -v -0.325444 0.051412 1.059897 -v -0.325435 0.052539 1.060362 -v -0.325491 0.053664 1.059897 -v -0.325582 0.054128 1.058774 -v -0.325652 0.053660 1.057651 -v -0.325662 0.052534 1.057186 -v -0.325605 0.051409 1.057651 -v -0.325515 0.050944 1.058774 -v -0.330187 0.051577 1.059972 -v -0.330179 0.052440 1.060329 -v -0.330223 0.053301 1.059972 -v -0.330292 0.053657 1.059113 -v -0.330346 0.053298 1.058253 -v -0.330353 0.052436 1.057896 -v -0.330310 0.051575 1.058253 -v -0.330241 0.051219 1.059113 -v -0.334762 0.051745 1.060036 -v -0.334757 0.052344 1.060283 -v -0.334787 0.052942 1.060036 -v -0.334835 0.053188 1.059439 -v -0.334872 0.052940 1.058842 -v -0.334878 0.052341 1.058595 -v -0.334847 0.051743 1.058842 -v -0.334799 0.051497 1.059439 -v -0.338837 0.051924 1.060063 -v -0.338834 0.052259 1.060201 -v -0.338851 0.052593 1.060063 -v -0.338878 0.052731 1.059729 -v -0.338899 0.052592 1.059396 -v -0.338901 0.052257 1.059258 -v -0.338885 0.051923 1.059396 -v -0.338858 0.051785 1.059729 -v -0.343412 0.052092 1.060127 -v -0.343411 0.052163 1.060156 -v -0.343415 0.052233 1.060127 -v -0.343421 0.052263 1.060056 -v -0.343425 0.052233 1.059985 -v -0.343426 0.052163 1.059956 -v -0.343422 0.052092 1.059985 -v -0.343417 0.052063 1.060056 -v -0.120682 -0.190664 1.198579 -v -0.121960 -0.190584 1.199076 -v -0.123213 -0.190846 1.198579 -v -0.123707 -0.191298 1.197381 -v -0.123153 -0.191675 1.196182 -v -0.121875 -0.191755 1.195686 -v -0.120623 -0.191492 1.196182 -v -0.120128 -0.191040 1.197381 -v -0.120567 -0.195038 1.199883 -v -0.121643 -0.194970 1.200301 -v -0.122699 -0.195192 1.199883 -v -0.123115 -0.195573 1.198873 -v -0.122649 -0.195890 1.197863 -v -0.121572 -0.195957 1.197444 -v -0.120517 -0.195736 1.197863 -v -0.120100 -0.195355 1.198873 -v -0.120452 -0.199412 1.201186 -v -0.121327 -0.199357 1.201526 -v -0.122185 -0.199537 1.201186 -v -0.122524 -0.199847 1.200364 -v -0.122145 -0.200105 1.199543 -v -0.121269 -0.200160 1.199203 -v -0.120411 -0.199980 1.199543 -v -0.120072 -0.199670 1.200364 -v -0.120299 -0.204296 1.202665 -v -0.120974 -0.204254 1.202928 -v -0.121635 -0.204392 1.202665 -v -0.121896 -0.204631 1.202033 -v -0.121604 -0.204830 1.201400 -v -0.120929 -0.204872 1.201138 -v -0.120268 -0.204733 1.201400 -v -0.120007 -0.204495 1.202033 -v -0.120159 -0.209010 1.204087 -v -0.120633 -0.208980 1.204270 -v -0.121097 -0.209078 1.204087 -v -0.121280 -0.209245 1.203642 -v -0.121075 -0.209384 1.203198 -v -0.120601 -0.209414 1.203014 -v -0.120137 -0.209317 1.203198 -v -0.119954 -0.209149 1.203642 -v -0.120056 -0.213214 1.205331 -v -0.120329 -0.213197 1.205436 -v -0.120596 -0.213253 1.205331 -v -0.120701 -0.213349 1.205075 -v -0.120583 -0.213430 1.204820 -v -0.120311 -0.213447 1.204714 -v -0.120044 -0.213391 1.204820 -v -0.119938 -0.213294 1.205075 -v -0.119916 -0.217928 1.206751 -v -0.119988 -0.217924 1.206779 -v -0.120057 -0.217938 1.206751 -v -0.120085 -0.217963 1.206685 -v -0.120054 -0.217984 1.206618 -v -0.119983 -0.217989 1.206590 -v -0.119913 -0.217974 1.206618 -v -0.119886 -0.217949 1.206685 -v -0.063775 0.249682 1.389251 -v -0.063325 0.249374 1.389421 -v -0.062782 0.249325 1.389251 -v -0.062464 0.249563 1.388841 -v -0.062557 0.249949 1.388431 -v -0.063007 0.250256 1.388261 -v -0.063550 0.250306 1.388431 -v -0.063868 0.250068 1.388841 -v -0.063082 0.251131 1.390336 -v -0.062769 0.250918 1.390454 -v -0.062393 0.250883 1.390336 -v -0.062172 0.251049 1.390051 -v -0.062237 0.251316 1.389766 -v -0.062549 0.251530 1.389649 -v -0.062926 0.251564 1.389766 -v -0.063146 0.251399 1.390051 -v -0.062388 0.252581 1.391421 -v -0.062214 0.252461 1.391487 -v -0.062003 0.252442 1.391421 -v -0.061880 0.252535 1.391261 -v -0.061916 0.252684 1.391102 -v -0.062091 0.252804 1.391036 -v -0.062301 0.252823 1.391102 -v -0.062425 0.252731 1.391261 -v -0.061635 0.254198 1.392649 -v -0.061598 0.254172 1.392663 -v -0.061554 0.254168 1.392649 -v -0.061528 0.254188 1.392615 -v -0.061535 0.254219 1.392582 -v -0.061572 0.254245 1.392568 -v -0.061617 0.254249 1.392582 -v -0.061643 0.254229 1.392615 -v 0.199964 0.110890 1.897724 -v 0.200173 0.110179 1.898021 -v 0.200519 0.109523 1.897724 -v 0.200799 0.109306 1.897008 -v 0.200848 0.109656 1.896291 -v 0.200638 0.110368 1.895994 -v 0.200292 0.111024 1.896291 -v 0.200013 0.111240 1.897008 -v 0.203170 0.111953 1.898329 -v 0.203316 0.111456 1.898536 -v 0.203558 0.110997 1.898329 -v 0.203753 0.110846 1.897828 -v 0.203787 0.111090 1.897328 -v 0.203641 0.111587 1.897120 -v 0.203399 0.112046 1.897328 -v 0.203204 0.112197 1.897828 -v 0.206376 0.113015 1.898934 -v 0.206459 0.112732 1.899052 -v 0.206597 0.112472 1.898934 -v 0.206708 0.112386 1.898649 -v 0.206727 0.112525 1.898364 -v 0.206644 0.112807 1.898246 -v 0.206506 0.113068 1.898364 -v 0.206395 0.113154 1.898649 -v 0.209947 0.114225 1.899636 -v 0.209967 0.114157 1.899664 -v 0.210000 0.114094 1.899636 -v 0.210027 0.114073 1.899567 -v 0.210031 0.114107 1.899498 -v 0.210011 0.114175 1.899470 -v 0.209978 0.114238 1.899498 -v 0.209951 0.114259 1.899567 -v -0.088172 0.101919 2.104199 -v -0.087551 0.101812 2.104451 -v -0.086921 0.101831 2.104199 -v -0.086652 0.101964 2.103591 -v -0.086900 0.102133 2.102983 -v -0.087521 0.102240 2.102731 -v -0.088151 0.102221 2.102983 -v -0.088420 0.102088 2.103591 -v -0.087749 0.105292 2.104854 -v -0.087311 0.105217 2.105032 -v -0.086868 0.105230 2.104854 -v -0.086678 0.105324 2.104426 -v -0.086853 0.105443 2.103997 -v -0.087290 0.105518 2.103820 -v -0.087734 0.105505 2.103997 -v -0.087924 0.105412 2.104426 -v -0.087325 0.108666 2.105509 -v -0.087072 0.108622 2.105612 -v -0.086814 0.108630 2.105509 -v -0.086704 0.108684 2.105261 -v -0.086806 0.108753 2.105012 -v -0.087059 0.108797 2.104909 -v -0.087317 0.108789 2.105012 -v -0.087427 0.108735 2.105261 -v -0.086874 0.112436 2.106264 -v -0.086804 0.112424 2.106292 -v -0.086733 0.112426 2.106264 -v -0.086703 0.112441 2.106195 -v -0.086731 0.112460 2.106126 -v -0.086801 0.112472 2.106098 -v -0.086872 0.112470 2.106126 -v -0.086902 0.112455 2.106195 -vt 0.000000 1.000000 -vt 0.041667 1.000000 -vt 0.041667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.041667 0.125000 -vt 0.041667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.041667 0.250000 -vt 0.000000 0.375000 -vt 0.041667 0.375000 -vt 0.000000 0.500000 -vt 0.041667 0.500000 -vt 0.000000 0.625000 -vt 0.041667 0.625000 -vt 0.000000 0.750000 -vt 0.041667 0.750000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.083333 0.250000 -vt 0.083333 0.375000 -vt 0.083333 0.500000 -vt 0.083333 0.625000 -vt 0.083333 0.750000 -vt 0.125000 1.000000 -vt 0.125000 0.875000 -vt 0.125000 0.125000 -vt 0.125000 0.000000 -vt 0.125000 0.250000 -vt 0.125000 0.375000 -vt 0.125000 0.500000 -vt 0.125000 0.625000 -vt 0.125000 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.208333 1.000000 -vt 0.208333 0.875000 -vt 0.208333 0.125000 -vt 0.208333 0.000000 -vt 0.208333 0.250000 -vt 0.208333 0.375000 -vt 0.208333 0.500000 -vt 0.208333 0.625000 -vt 0.208333 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.291667 1.000000 -vt 0.291667 0.875000 -vt 0.291667 0.125000 -vt 0.291667 0.000000 -vt 0.291667 0.250000 -vt 0.291667 0.375000 -vt 0.291667 0.500000 -vt 0.291667 0.625000 -vt 0.291667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.375000 1.000000 -vt 0.375000 0.875000 -vt 0.375000 0.125000 -vt 0.375000 0.000000 -vt 0.375000 0.250000 -vt 0.375000 0.375000 -vt 0.375000 0.500000 -vt 0.375000 0.625000 -vt 0.375000 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.458333 1.000000 -vt 0.458333 0.875000 -vt 0.458333 0.125000 -vt 0.458333 0.000000 -vt 0.458333 0.250000 -vt 0.458333 0.375000 -vt 0.458333 0.500000 -vt 0.458333 0.625000 -vt 0.458333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.541667 1.000000 -vt 0.541667 0.875000 -vt 0.541667 0.125000 -vt 0.541667 0.000000 -vt 0.541667 0.250000 -vt 0.541667 0.375000 -vt 0.541667 0.500000 -vt 0.541667 0.625000 -vt 0.541667 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.625000 1.000000 -vt 0.625000 0.875000 -vt 0.625000 0.125000 -vt 0.625000 0.000000 -vt 0.625000 0.250000 -vt 0.625000 0.375000 -vt 0.625000 0.500000 -vt 0.625000 0.625000 -vt 0.625000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.708333 1.000000 -vt 0.708333 0.875000 -vt 0.708333 0.125000 -vt 0.708333 0.000000 -vt 0.708333 0.250000 -vt 0.708333 0.375000 -vt 0.708333 0.500000 -vt 0.708333 0.625000 -vt 0.708333 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.791667 1.000000 -vt 0.791667 0.875000 -vt 0.791667 0.125000 -vt 0.791667 0.000000 -vt 0.791667 0.250000 -vt 0.791667 0.375000 -vt 0.791667 0.500000 -vt 0.791667 0.625000 -vt 0.791667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.875000 1.000000 -vt 0.875000 0.875000 -vt 0.875000 0.125000 -vt 0.875000 0.000000 -vt 0.875000 0.250000 -vt 0.875000 0.375000 -vt 0.875000 0.500000 -vt 0.875000 0.625000 -vt 0.875000 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 0.958333 1.000000 -vt 0.958333 0.875000 -vt 0.958333 0.125000 -vt 0.958333 0.000000 -vt 0.958333 0.250000 -vt 0.958333 0.375000 -vt 0.958333 0.500000 -vt 0.958333 0.625000 -vt 0.958333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.066667 1.000000 -vt 0.066667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.066667 0.125000 -vt 0.066667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.066667 0.250000 -vt 0.000000 0.375000 -vt 0.066667 0.375000 -vt 0.000000 0.500000 -vt 0.066667 0.500000 -vt 0.000000 0.625000 -vt 0.066667 0.625000 -vt 0.000000 0.750000 -vt 0.066667 0.750000 -vt 0.133333 1.000000 -vt 0.133333 0.875000 -vt 0.133333 0.125000 -vt 0.133333 0.000000 -vt 0.133333 0.250000 -vt 0.133333 0.375000 -vt 0.133333 0.500000 -vt 0.133333 0.625000 -vt 0.133333 0.750000 -vt 0.200000 1.000000 -vt 0.200000 0.875000 -vt 0.200000 0.125000 -vt 0.200000 0.000000 -vt 0.200000 0.250000 -vt 0.200000 0.375000 -vt 0.200000 0.500000 -vt 0.200000 0.625000 -vt 0.200000 0.750000 -vt 0.266667 1.000000 -vt 0.266667 0.875000 -vt 0.266667 0.125000 -vt 0.266667 0.000000 -vt 0.266667 0.250000 -vt 0.266667 0.375000 -vt 0.266667 0.500000 -vt 0.266667 0.625000 -vt 0.266667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.400000 1.000000 -vt 0.400000 0.875000 -vt 0.400000 0.125000 -vt 0.400000 0.000000 -vt 0.400000 0.250000 -vt 0.400000 0.375000 -vt 0.400000 0.500000 -vt 0.400000 0.625000 -vt 0.400000 0.750000 -vt 0.466667 1.000000 -vt 0.466667 0.875000 -vt 0.466667 0.125000 -vt 0.466667 0.000000 -vt 0.466667 0.250000 -vt 0.466667 0.375000 -vt 0.466667 0.500000 -vt 0.466667 0.625000 -vt 0.466667 0.750000 -vt 0.533333 1.000000 -vt 0.533333 0.875000 -vt 0.533333 0.125000 -vt 0.533333 0.000000 -vt 0.533333 0.250000 -vt 0.533333 0.375000 -vt 0.533333 0.500000 -vt 0.533333 0.625000 -vt 0.533333 0.750000 -vt 0.600000 1.000000 -vt 0.600000 0.875000 -vt 0.600000 0.125000 -vt 0.600000 0.000000 -vt 0.600000 0.250000 -vt 0.600000 0.375000 -vt 0.600000 0.500000 -vt 0.600000 0.625000 -vt 0.600000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.733333 1.000000 -vt 0.733333 0.875000 -vt 0.733333 0.125000 -vt 0.733333 0.000000 -vt 0.733333 0.250000 -vt 0.733333 0.375000 -vt 0.733333 0.500000 -vt 0.733333 0.625000 -vt 0.733333 0.750000 -vt 0.800000 1.000000 -vt 0.800000 0.875000 -vt 0.800000 0.125000 -vt 0.800000 0.000000 -vt 0.800000 0.250000 -vt 0.800000 0.375000 -vt 0.800000 0.500000 -vt 0.800000 0.625000 -vt 0.800000 0.750000 -vt 0.866667 1.000000 -vt 0.866667 0.875000 -vt 0.866667 0.125000 -vt 0.866667 0.000000 -vt 0.866667 0.250000 -vt 0.866667 0.375000 -vt 0.866667 0.500000 -vt 0.866667 0.625000 -vt 0.866667 0.750000 -vt 0.933333 1.000000 -vt 0.933333 0.875000 -vt 0.933333 0.125000 -vt 0.933333 0.000000 -vt 0.933333 0.250000 -vt 0.933333 0.375000 -vt 0.933333 0.500000 -vt 0.933333 0.625000 -vt 0.933333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.083333 1.000000 -vt 0.083333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.083333 0.125000 -vt 0.083333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.083333 0.250000 -vt 0.000000 0.375000 -vt 0.083333 0.375000 -vt 0.000000 0.500000 -vt 0.083333 0.500000 -vt 0.000000 0.625000 -vt 0.083333 0.625000 -vt 0.000000 0.750000 -vt 0.083333 0.750000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.166667 0.250000 -vt 0.166667 0.375000 -vt 0.166667 0.500000 -vt 0.166667 0.625000 -vt 0.166667 0.750000 -vt 0.250000 1.000000 -vt 0.250000 0.875000 -vt 0.250000 0.125000 -vt 0.250000 0.000000 -vt 0.250000 0.250000 -vt 0.250000 0.375000 -vt 0.250000 0.500000 -vt 0.250000 0.625000 -vt 0.250000 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.416667 1.000000 -vt 0.416667 0.875000 -vt 0.416667 0.125000 -vt 0.416667 0.000000 -vt 0.416667 0.250000 -vt 0.416667 0.375000 -vt 0.416667 0.500000 -vt 0.416667 0.625000 -vt 0.416667 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.583333 1.000000 -vt 0.583333 0.875000 -vt 0.583333 0.125000 -vt 0.583333 0.000000 -vt 0.583333 0.250000 -vt 0.583333 0.375000 -vt 0.583333 0.500000 -vt 0.583333 0.625000 -vt 0.583333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.750000 1.000000 -vt 0.750000 0.875000 -vt 0.750000 0.125000 -vt 0.750000 0.000000 -vt 0.750000 0.250000 -vt 0.750000 0.375000 -vt 0.750000 0.500000 -vt 0.750000 0.625000 -vt 0.750000 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 0.916667 1.000000 -vt 0.916667 0.875000 -vt 0.916667 0.125000 -vt 0.916667 0.000000 -vt 0.916667 0.250000 -vt 0.916667 0.375000 -vt 0.916667 0.500000 -vt 0.916667 0.625000 -vt 0.916667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.111111 1.000000 -vt 0.111111 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.111111 0.125000 -vt 0.111111 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.111111 0.250000 -vt 0.000000 0.375000 -vt 0.111111 0.375000 -vt 0.000000 0.500000 -vt 0.111111 0.500000 -vt 0.000000 0.625000 -vt 0.111111 0.625000 -vt 0.000000 0.750000 -vt 0.111111 0.750000 -vt 0.222222 1.000000 -vt 0.222222 0.875000 -vt 0.222222 0.125000 -vt 0.222222 0.000000 -vt 0.222222 0.250000 -vt 0.222222 0.375000 -vt 0.222222 0.500000 -vt 0.222222 0.625000 -vt 0.222222 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.444444 1.000000 -vt 0.444444 0.875000 -vt 0.444444 0.125000 -vt 0.444444 0.000000 -vt 0.444444 0.250000 -vt 0.444444 0.375000 -vt 0.444444 0.500000 -vt 0.444444 0.625000 -vt 0.444444 0.750000 -vt 0.555556 1.000000 -vt 0.555556 0.875000 -vt 0.555556 0.125000 -vt 0.555556 0.000000 -vt 0.555556 0.250000 -vt 0.555556 0.375000 -vt 0.555556 0.500000 -vt 0.555556 0.625000 -vt 0.555556 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.777778 1.000000 -vt 0.777778 0.875000 -vt 0.777778 0.125000 -vt 0.777778 0.000000 -vt 0.777778 0.250000 -vt 0.777778 0.375000 -vt 0.777778 0.500000 -vt 0.777778 0.625000 -vt 0.777778 0.750000 -vt 0.888889 1.000000 -vt 0.888889 0.875000 -vt 0.888889 0.125000 -vt 0.888889 0.000000 -vt 0.888889 0.250000 -vt 0.888889 0.375000 -vt 0.888889 0.500000 -vt 0.888889 0.625000 -vt 0.888889 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.166667 1.000000 -vt 0.166667 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.166667 0.125000 -vt 0.166667 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.166667 0.250000 -vt 0.000000 0.375000 -vt 0.166667 0.375000 -vt 0.000000 0.500000 -vt 0.166667 0.500000 -vt 0.000000 0.625000 -vt 0.166667 0.625000 -vt 0.000000 0.750000 -vt 0.166667 0.750000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.333333 0.250000 -vt 0.333333 0.375000 -vt 0.333333 0.500000 -vt 0.333333 0.625000 -vt 0.333333 0.750000 -vt 0.500000 1.000000 -vt 0.500000 0.875000 -vt 0.500000 0.125000 -vt 0.500000 0.000000 -vt 0.500000 0.250000 -vt 0.500000 0.375000 -vt 0.500000 0.500000 -vt 0.500000 0.625000 -vt 0.500000 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 0.833333 1.000000 -vt 0.833333 0.875000 -vt 0.833333 0.125000 -vt 0.833333 0.000000 -vt 0.833333 0.250000 -vt 0.833333 0.375000 -vt 0.833333 0.500000 -vt 0.833333 0.625000 -vt 0.833333 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vt 0.000000 1.000000 -vt 0.333333 1.000000 -vt 0.333333 0.875000 -vt 0.000000 0.875000 -vt 0.000000 0.125000 -vt 0.333333 0.125000 -vt 0.333333 0.000000 -vt 0.000000 0.000000 -vt 0.000000 0.250000 -vt 0.333333 0.250000 -vt 0.000000 0.375000 -vt 0.333333 0.375000 -vt 0.000000 0.500000 -vt 0.333333 0.500000 -vt 0.000000 0.625000 -vt 0.333333 0.625000 -vt 0.000000 0.750000 -vt 0.333333 0.750000 -vt 0.666667 1.000000 -vt 0.666667 0.875000 -vt 0.666667 0.125000 -vt 0.666667 0.000000 -vt 0.666667 0.250000 -vt 0.666667 0.375000 -vt 0.666667 0.500000 -vt 0.666667 0.625000 -vt 0.666667 0.750000 -vt 1.000000 1.000000 -vt 1.000000 0.875000 -vt 1.000000 0.125000 -vt 1.000000 0.000000 -vt 1.000000 0.250000 -vt 1.000000 0.375000 -vt 1.000000 0.500000 -vt 1.000000 0.625000 -vt 1.000000 0.750000 -vn -0.7057 -0.7055 0.0650 -vn -0.7056 -0.7056 0.0650 -vn -0.9979 -0.0000 0.0654 -vn -0.9979 0.0001 0.0654 -vn -0.0001 -0.9979 0.0645 -vn 0.0000 -0.9979 0.0644 -vn 0.7056 -0.7057 0.0641 -vn 0.7057 -0.7056 0.0641 -vn 0.9979 0.0001 0.0641 -vn 0.9979 -0.0000 0.0641 -vn 0.7055 0.7057 0.0646 -vn 0.7056 0.7056 0.0646 -vn -0.0001 0.9979 0.0651 -vn 0.0000 0.9979 0.0651 -vn -0.7056 0.7056 0.0655 -vn -0.7056 -0.7059 0.0613 -vn -0.9981 -0.0001 0.0612 -vn 0.0002 -0.9981 0.0615 -vn 0.7058 -0.7057 0.0616 -vn 0.9981 -0.0001 0.0616 -vn 0.7059 0.7056 0.0615 -vn 0.0002 0.9981 0.0613 -vn -0.7057 0.7058 0.0612 -vn -0.7065 -0.7070 0.0328 -vn -0.9995 -0.0002 0.0310 -vn 0.0003 -0.9994 0.0352 -vn 0.7067 -0.7066 0.0367 -vn 0.9993 -0.0002 0.0365 -vn 0.7069 0.7064 0.0347 -vn 0.0003 0.9995 0.0323 -vn -0.7067 0.7068 0.0308 -vn -0.7069 -0.7072 0.0079 -vn -1.0000 -0.0001 0.0043 -vn 0.0002 -0.9999 0.0126 -vn 0.7071 -0.7070 0.0156 -vn 0.9999 -0.0001 0.0151 -vn 0.7072 0.7069 0.0115 -vn 0.0002 1.0000 0.0068 -vn -0.7071 0.7072 0.0039 -vn -0.7074 -0.7068 0.0079 -vn -1.0000 0.0002 0.0045 -vn -0.0003 -0.9999 0.0124 -vn 0.7070 -0.7071 0.0153 -vn 0.9999 0.0002 0.0149 -vn 0.7068 0.7073 0.0115 -vn -0.0003 1.0000 0.0071 -vn -0.7072 0.7070 0.0041 -vn -0.7076 -0.7065 0.0078 -vn -1.0000 0.0005 0.0075 -vn -0.0006 -1.0000 0.0089 -vn 0.7070 -0.7071 0.0101 -vn 0.9999 0.0005 0.0108 -vn 0.7065 0.7076 0.0105 -vn -0.0006 1.0000 0.0094 -vn -0.7071 0.7070 0.0082 -vn -0.7073 -0.7068 0.0088 -vn -0.9999 0.0002 0.0117 -vn -0.0003 -1.0000 0.0064 -vn 0.7070 -0.7071 0.0060 -vn 1.0000 0.0002 0.0077 -vn 0.7068 0.7073 0.0107 -vn -0.0003 0.9999 0.0130 -vn -0.7071 0.7070 0.0135 -vn -0.7064 -0.7077 0.0101 -vn -0.9999 -0.0008 0.0110 -vn 0.0005 -1.0000 0.0089 -vn 0.7069 -0.7073 0.0082 -vn 1.0000 -0.0008 0.0084 -vn 0.7077 0.7064 0.0094 -vn 0.0005 0.9999 0.0106 -vn -0.7072 0.7069 0.0113 -vn -0.7060 -0.7081 0.0119 -vn -1.0000 -0.0013 0.0049 -vn 0.0009 -0.9999 0.0173 -vn 0.7068 -0.7072 0.0179 -vn 0.9999 -0.0013 0.0134 -vn 0.7082 0.7060 0.0064 -vn 0.0009 1.0000 0.0010 -vn -0.7073 0.7069 0.0004 -vn -0.7065 -0.7075 0.0149 -vn -1.0000 -0.0008 -0.0002 -vn 0.0003 -0.9996 0.0270 -vn 0.7067 -0.7069 0.0290 -vn 0.9998 -0.0006 0.0197 -vn 0.7077 0.7065 0.0045 -vn 0.0005 1.0000 -0.0076 -vn -0.7073 0.7069 -0.0095 -vn -0.7080 -0.7060 0.0154 -vn -1.0000 0.0010 0.0009 -vn -0.0009 -0.9996 0.0267 -vn 0.7070 -0.7067 0.0280 -vn 0.9998 0.0012 0.0185 -vn 0.7062 0.7080 0.0039 -vn -0.0008 1.0000 -0.0073 -vn -0.7070 0.7072 -0.0085 -vn -0.7088 -0.7053 0.0135 -vn -1.0000 0.0019 0.0097 -vn -0.0016 -0.9999 0.0148 -vn 0.7072 -0.7069 0.0127 -vn 1.0000 0.0019 0.0085 -vn 0.7054 0.7088 0.0047 -vn -0.0015 1.0000 0.0035 -vn -0.7069 0.7073 0.0056 -vn -0.7079 -0.7062 0.0128 -vn -0.9998 0.0009 0.0199 -vn -0.0008 -1.0000 0.0039 -vn 0.7072 -0.7071 -0.0016 -vn 1.0000 0.0009 -0.0005 -vn 0.7063 0.7079 0.0066 -vn -0.0006 0.9999 0.0156 -vn -0.7068 0.7071 0.0211 -vn -0.7056 -0.7085 0.0120 -vn -0.9999 -0.0014 0.0171 -vn 0.0015 -1.0000 0.0056 -vn 0.7071 -0.7071 0.0016 -vn 1.0000 -0.0014 0.0023 -vn 0.7086 0.7056 0.0074 -vn 0.0016 0.9999 0.0138 -vn -0.7069 0.7071 0.0179 -vn -0.7048 -0.7093 0.0120 -vn -1.0000 -0.0025 0.0012 -vn 0.0021 -0.9998 0.0211 -vn 0.7068 -0.7070 0.0233 -vn 0.9998 -0.0024 0.0172 -vn 0.7094 0.7047 0.0064 -vn 0.0023 1.0000 -0.0028 -vn -0.7072 0.7070 -0.0050 -vn -0.7059 -0.7082 0.0131 -vn -0.9999 -0.0015 -0.0137 -vn 0.0009 -0.9993 0.0379 -vn 0.7064 -0.7063 0.0462 -vn 0.9994 -0.0008 0.0332 -vn 0.7084 0.7058 0.0065 -vn 0.0016 0.9998 -0.0184 -vn -0.7068 0.7069 -0.0268 -vn -0.7084 -0.7057 0.0097 -vn -0.9998 0.0015 -0.0174 -vn -0.0011 -0.9993 0.0369 -vn 0.7069 -0.7057 0.0481 -vn 0.9993 0.0023 0.0367 -vn 0.7057 0.7085 0.0096 -vn -0.0006 0.9998 -0.0175 -vn -0.7063 0.7073 -0.0286 -vn -0.7094 -0.7048 0.0019 -vn -1.0000 0.0029 -0.0088 -vn -0.0017 -0.9999 0.0169 -vn 0.7076 -0.7061 0.0273 -vn 0.9996 0.0034 0.0270 -vn 0.7044 0.7097 0.0163 -vn -0.0019 1.0000 0.0014 -vn -0.7065 0.7077 -0.0090 -vn -0.7080 -0.7062 -0.0048 -vn -1.0000 0.0013 0.0010 -vn -0.0003 -1.0000 -0.0021 -vn 0.7078 -0.7064 0.0075 -vn 0.9998 0.0019 0.0185 -vn 0.7055 0.7083 0.0243 -vn -0.0011 0.9998 0.0216 -vn -0.7069 0.7072 0.0120 -vn -0.7052 -0.7090 -0.0065 -vn -1.0000 -0.0023 -0.0024 -vn 0.0017 -1.0000 -0.0011 -vn 0.7069 -0.7072 0.0106 -vn 0.9998 -0.0018 0.0218 -vn 0.7083 0.7054 0.0260 -vn 0.0009 0.9998 0.0206 -vn -0.7076 0.7065 0.0089 -vn -0.7046 -0.7096 -0.0029 -vn -0.9999 -0.0031 -0.0170 -vn 0.0017 -0.9998 0.0181 -vn 0.7061 -0.7072 0.0340 -vn 0.9994 -0.0026 0.0354 -vn 0.7090 0.7048 0.0214 -vn 0.0018 1.0000 0.0003 -vn -0.7075 0.7065 -0.0157 -vn -0.7057 -0.7085 0.0016 -vn -0.9995 -0.0021 -0.0304 -vn 0.0004 -0.9993 0.0383 -vn 0.7054 -0.7064 0.0583 -vn 0.9988 -0.0011 0.0499 -vn 0.7082 0.7058 0.0181 -vn 0.0017 0.9998 -0.0188 -vn -0.7067 0.7065 -0.0389 -vn -0.7075 -0.7067 0.0027 -vn -0.9993 -0.0003 -0.0361 -vn -0.0014 -0.9990 0.0456 -vn 0.7052 -0.7058 0.0675 -vn 0.9985 0.0011 0.0555 -vn 0.7065 0.7075 0.0167 -vn 0.0005 0.9997 -0.0262 -vn -0.7061 0.7065 -0.0481 -vn -0.7085 -0.7057 0.0020 -vn -0.9993 0.0008 -0.0365 -vn -0.0023 -0.9990 0.0447 -vn 0.7054 -0.7057 0.0665 -vn 0.9985 0.0022 0.0547 -vn 0.7056 0.7085 0.0161 -vn -0.0004 0.9996 -0.0265 -vn -0.7059 0.7066 -0.0483 -vn -0.2749 0.6538 0.7049 -vn -0.2743 0.6520 0.7069 -vn -0.3487 0.9372 0.0005 -vn -0.3487 0.9372 -0.0003 -vn -0.0396 -0.0121 0.9991 -vn -0.0385 -0.0149 0.9991 -vn 0.2200 -0.6719 0.7072 -vn 0.2204 -0.6729 0.7062 -vn 0.3510 -0.9364 -0.0013 -vn 0.3509 -0.9364 -0.0004 -vn 0.2759 -0.6493 -0.7087 -vn 0.2765 -0.6512 -0.7068 -vn 0.0397 0.0186 -0.9990 -vn 0.0408 0.0158 -0.9990 -vn -0.2186 0.6747 -0.7050 -vn -0.2182 0.6737 -0.7060 -vn -0.2815 0.6463 0.7093 -vn -0.3647 0.9311 0.0011 -vn -0.0326 -0.0171 0.9993 -vn 0.2354 -0.6687 0.7053 -vn 0.3667 -0.9303 0.0013 -vn 0.2854 -0.6505 -0.7038 -vn 0.0378 0.0102 -0.9992 -vn -0.2321 0.6668 -0.7082 -vn -0.2657 0.6538 0.7085 -vn -0.3703 0.9289 0.0057 -vn -0.0068 0.0006 1.0000 -vn 0.2570 -0.6537 0.7118 -vn 0.3722 -0.9281 0.0068 -vn 0.2690 -0.6563 -0.7049 -vn 0.0068 0.0053 -1.0000 -vn -0.2584 0.6628 -0.7028 -vn -0.2445 0.6617 0.7087 -vn -0.3715 0.9284 0.0020 -vn 0.0260 0.0083 0.9996 -vn 0.2822 -0.6494 0.7062 -vn 0.3747 -0.9272 0.0015 -vn 0.2497 -0.6650 -0.7039 -vn -0.0211 -0.0131 -0.9997 -vn -0.2793 0.6490 -0.7076 -vn -0.3543 0.6053 0.7128 -vn -0.4810 0.8766 -0.0157 -vn -0.0101 -0.0364 0.9993 -vn 0.3359 -0.6451 0.6864 -vn 0.4854 -0.8742 -0.0138 -vn 0.3635 -0.6135 -0.7011 -vn 0.0384 -0.0084 -0.9992 -vn -0.3124 0.6109 -0.7275 -vn -0.5787 0.4368 0.6887 -vn -0.6857 0.7264 -0.0469 -vn -0.1099 -0.1230 0.9863 -vn 0.4133 -0.5953 0.6891 -vn 0.6928 -0.7211 0.0086 -vn 0.5897 -0.4492 -0.6712 -vn 0.1617 0.0718 -0.9842 -vn -0.3655 0.5617 -0.7423 -vn -0.7514 0.2239 0.6207 -vn -0.8427 0.5290 -0.0999 -vn -0.1980 -0.2163 0.9560 -vn 0.4638 -0.5206 0.7169 -vn 0.8496 -0.5225 0.0722 -vn 0.7593 -0.2326 -0.6078 -vn 0.2445 0.1892 -0.9510 -vn -0.4183 0.5087 -0.7525 -vn -0.7969 0.1614 0.5821 -vn -0.8753 0.4724 -0.1032 -vn -0.2578 -0.2438 0.9350 -vn 0.4377 -0.5087 0.7413 -vn 0.8756 -0.4714 0.1051 -vn 0.7909 -0.1524 -0.5927 -vn 0.2386 0.2563 -0.9367 -vn -0.4506 0.5132 -0.7305 -vn -0.7422 0.2520 0.6210 -vn -0.8232 0.5647 -0.0590 -vn -0.2384 -0.2042 0.9495 -vn 0.4076 -0.5457 0.7322 -vn 0.8197 -0.5673 0.0788 -vn 0.7396 -0.2455 -0.6267 -vn 0.2127 0.2244 -0.9510 -vn -0.4341 0.5568 -0.7082 -vn -0.6812 0.3364 0.6502 -vn -0.7596 0.6494 -0.0367 -vn -0.2070 -0.1719 0.9631 -vn 0.3915 -0.5816 0.7131 -vn 0.7607 -0.6479 0.0392 -vn 0.6775 -0.3275 -0.6586 -vn 0.1937 0.1866 -0.9632 -vn -0.4000 0.5888 -0.7024 -vn -0.6620 0.3749 0.6490 -vn -0.6799 0.7331 -0.0179 -vn -0.2541 -0.2079 0.9446 -vn 0.3132 -0.6711 0.6719 -vn 0.6897 -0.7240 -0.0119 -vn 0.6484 -0.3405 -0.6809 -vn 0.2312 0.2364 -0.9438 -vn -0.3127 0.6743 -0.6690 -vn -0.6556 0.3843 0.6499 -vn -0.5624 0.8258 0.0427 -vn -0.3635 -0.2912 0.8849 -vn 0.1555 -0.7978 0.5825 -vn 0.5788 -0.8116 -0.0788 -vn 0.6482 -0.3364 -0.6831 -vn 0.3416 0.3261 -0.8815 -vn -0.1535 0.7987 -0.5818 -vn -0.6464 0.3843 0.6592 -vn -0.4407 0.8878 0.1326 -vn -0.4753 -0.3519 0.8064 -vn -0.0141 -0.8840 0.4673 -vn 0.4572 -0.8753 -0.1578 -vn 0.6486 -0.3399 -0.6810 -vn 0.4598 0.3854 -0.8000 -vn 0.0127 0.8856 -0.4643 -vn -0.6417 0.3637 0.6753 -vn -0.3914 0.9005 0.1892 -vn -0.5150 -0.3863 0.7652 -vn -0.0870 -0.9089 0.4079 -vn 0.3923 -0.9006 -0.1871 -vn 0.6432 -0.3649 -0.6731 -vn 0.5171 0.3855 -0.7642 -vn 0.0884 0.9092 -0.4068 -vn -0.6430 0.3502 0.6811 -vn -0.3985 0.8962 0.1951 -vn -0.5086 -0.3954 0.7649 -vn -0.0830 -0.9084 0.4099 -vn 0.3899 -0.9035 -0.1779 -vn 0.6421 -0.3781 -0.6669 -vn 0.5198 0.3747 -0.7677 -vn 0.0865 0.9081 -0.4097 -vn -0.7198 -0.0252 0.6937 -vn -0.7061 -0.0270 0.7076 -vn -0.9985 0.0542 0.0048 -vn -0.9985 0.0541 -0.0044 -vn -0.0172 -0.0906 0.9957 -vn 0.0016 -0.0913 0.9958 -vn 0.7024 -0.1021 0.7044 -vn 0.7072 -0.1010 0.6998 -vn 0.9986 -0.0508 -0.0144 -vn 0.9987 -0.0509 -0.0046 -vn 0.6918 0.0316 -0.7214 -vn 0.7061 0.0298 -0.7075 -vn -0.0198 0.0948 -0.9953 -vn -0.0016 0.0942 -0.9956 -vn -0.7114 0.1031 -0.6952 -vn -0.7070 0.1043 -0.6995 -vn -0.6849 -0.0639 0.7258 -vn -0.9985 -0.0539 0.0125 -vn 0.0268 -0.0338 0.9991 -vn 0.7125 0.0163 0.7015 -vn 0.9982 0.0578 0.0146 -vn 0.7247 0.0678 -0.6858 -vn 0.0256 0.0405 -0.9989 -vn -0.6999 -0.0097 -0.7141 -vn -0.6615 -0.1290 0.7388 -vn -0.9498 -0.3109 0.0351 -vn 0.0047 0.1240 0.9923 -vn 0.6569 0.3045 0.6898 -vn 0.9478 0.3187 0.0118 -vn 0.7174 0.1577 -0.6785 -vn 0.0669 -0.0975 -0.9930 -vn -0.6434 -0.2990 -0.7047 -vn -0.6410 -0.1952 0.7423 -vn -0.8336 -0.5474 0.0738 -vn -0.0742 0.2649 0.9614 -vn 0.5257 0.5680 0.6333 -vn 0.8306 0.5550 -0.0456 -vn 0.6709 0.2306 -0.7048 -vn 0.1187 -0.2333 -0.9651 -vn -0.5139 -0.5641 -0.6463 -vn -0.6293 -0.2703 0.7287 -vn -0.7837 -0.6178 0.0646 -vn -0.0984 0.2430 0.9650 -vn 0.4927 0.6111 0.6196 -vn 0.7853 0.6116 -0.0959 -vn 0.6115 0.2521 -0.7500 -vn 0.0848 -0.2496 -0.9646 -vn -0.4870 -0.6057 -0.6292 -vn -0.6121 -0.3162 0.7248 -vn -0.8489 -0.5272 0.0367 -vn -0.0064 0.0881 0.9961 -vn 0.6125 0.4448 0.6534 -vn 0.8468 0.5236 -0.0941 -vn 0.5694 0.2883 -0.7699 -vn -0.0282 -0.1066 -0.9939 -vn -0.6062 -0.4387 -0.6634 -vn -0.5772 -0.3527 0.7365 -vn -0.9020 -0.4291 0.0472 -vn 0.0948 -0.0653 0.9934 -vn 0.7112 0.2629 0.6520 -vn 0.8979 0.4330 -0.0792 -vn 0.5531 0.3464 -0.7577 -vn -0.1077 0.0609 -0.9923 -vn -0.7042 -0.2572 -0.6618 -vn -0.5487 -0.3579 0.7555 -vn -0.8970 -0.4355 0.0758 -vn 0.1143 -0.0727 0.9908 -vn 0.7085 0.2534 0.6587 -vn 0.8985 0.4361 -0.0511 -vn 0.5680 0.3678 -0.7363 -vn -0.1012 0.0824 -0.9914 -vn -0.7131 -0.2529 -0.6538 -vn -0.5714 -0.3040 0.7623 -vn -0.8654 -0.4939 0.0842 -vn 0.0451 0.0579 0.9973 -vn 0.6335 0.3864 0.6703 -vn 0.8661 0.4986 -0.0371 -vn 0.5994 0.3239 -0.7320 -vn -0.0314 -0.0471 -0.9984 -vn -0.6473 -0.3909 -0.6544 -vn -0.6081 -0.2566 0.7512 -vn -0.8325 -0.5484 0.0786 -vn -0.0336 0.1817 0.9828 -vn 0.5576 0.5152 0.6509 -vn 0.8301 0.5549 -0.0549 -vn 0.6221 0.2732 -0.7337 -vn 0.0446 -0.1719 -0.9841 -vn -0.5629 -0.5154 -0.6461 -vn -0.5871 -0.3027 0.7508 -vn -0.7881 -0.6118 0.0680 -vn -0.0331 0.1888 0.9815 -vn 0.5361 0.5654 0.6268 -vn 0.7873 0.6099 -0.0903 -vn 0.5848 0.3050 -0.7516 -vn 0.0483 -0.1734 -0.9837 -vn -0.5195 -0.5540 -0.6505 -vn -0.4926 -0.4170 0.7638 -vn -0.7289 -0.6809 0.0712 -vn 0.0435 0.1021 0.9938 -vn 0.5487 0.5562 0.6241 -vn 0.7259 0.6795 -0.1061 -vn 0.4866 0.4144 -0.7691 -vn -0.0281 -0.0842 -0.9960 -vn -0.5303 -0.5372 -0.6559 -vn -0.3841 -0.5182 0.7642 -vn -0.6624 -0.7453 0.0764 -vn 0.1245 0.0211 0.9920 -vn 0.5550 0.5446 0.6288 -vn 0.6581 0.7466 -0.0975 -vn 0.3829 0.5199 -0.7636 -vn -0.1114 -0.0030 -0.9938 -vn -0.5450 -0.5268 -0.6522 -vn -0.3385 -0.5579 0.7577 -vn -0.6279 -0.7738 0.0836 -vn 0.1482 -0.0152 0.9888 -vn 0.5480 0.5373 0.6411 -vn 0.6261 0.7754 -0.0825 -vn 0.3367 0.5594 -0.7575 -vn -0.1507 0.0161 -0.9885 -vn -0.5504 -0.5363 -0.6399 -vn -0.3407 -0.5563 0.7579 -vn -0.6284 -0.7727 0.0901 -vn 0.1427 -0.0191 0.9896 -vn 0.5449 0.5321 0.6481 -vn 0.6283 0.7742 -0.0763 -vn 0.3383 0.5578 -0.7579 -vn -0.1537 0.0099 -0.9881 -vn -0.5535 -0.5414 -0.6329 -vn 0.6676 -0.2397 0.7049 -vn 0.6661 -0.2390 0.7065 -vn 0.9196 -0.3929 0.0010 -vn 0.9196 -0.3929 0.0012 -vn 0.0253 0.0528 0.9983 -vn 0.0221 0.0541 0.9983 -vn -0.6334 0.3143 0.7072 -vn -0.6352 0.3149 0.7053 -vn -0.9206 0.3905 -0.0005 -vn -0.9206 0.3904 -0.0008 -vn -0.6657 0.2358 -0.7079 -vn -0.6672 0.2366 -0.7063 -vn -0.0200 -0.0580 -0.9981 -vn -0.0232 -0.0566 -0.9981 -vn 0.6359 -0.3180 -0.7033 -vn 0.6341 -0.3174 -0.7051 -vn 0.6699 -0.2240 0.7078 -vn 0.9272 -0.3746 -0.0006 -vn 0.0182 0.0574 0.9982 -vn -0.6426 0.3038 0.7035 -vn -0.9282 0.3720 0.0000 -vn -0.6749 0.2235 -0.7032 -vn -0.0282 -0.0562 -0.9980 -vn 0.6366 -0.3045 -0.7085 -vn 0.6820 -0.1830 0.7081 -vn 0.9480 -0.3182 -0.0037 -vn 0.0138 0.0591 0.9982 -vn -0.6589 0.2647 0.7041 -vn -0.9488 0.3159 0.0044 -vn -0.6921 0.1844 -0.6979 -vn -0.0331 -0.0553 -0.9979 -vn 0.6489 -0.2646 -0.7134 -vn 0.6971 -0.1420 0.7028 -vn 0.9659 -0.2588 -0.0082 -vn 0.0178 0.0574 0.9982 -vn -0.6699 0.2218 0.7085 -vn -0.9666 0.2562 0.0077 -vn -0.7026 0.1411 -0.6974 -vn -0.0290 -0.0572 -0.9979 -vn 0.6636 -0.2233 -0.7140 -vn 0.7037 -0.1510 0.6943 -vn 0.9604 -0.2783 -0.0088 -vn 0.0359 0.0640 0.9973 -vn -0.6574 0.2417 0.7138 -vn -0.9614 0.2751 0.0041 -vn -0.6925 0.1439 -0.7069 -vn -0.0168 -0.0724 -0.9972 -vn 0.6643 -0.2461 -0.7058 -vn 0.6887 -0.2057 0.6953 -vn 0.9246 -0.3810 -0.0015 -vn 0.0514 0.0896 0.9947 -vn -0.6232 0.3341 0.7071 -vn -0.9259 0.3777 -0.0082 -vn -0.6707 0.1933 -0.7161 -vn -0.0222 -0.1043 -0.9943 -vn 0.6331 -0.3396 -0.6956 -vn 0.6615 -0.2537 0.7057 -vn 0.8779 -0.4786 0.0134 -vn 0.0585 0.1195 0.9911 -vn -0.5828 0.4239 0.6933 -vn -0.8793 0.4759 -0.0185 -vn -0.6518 0.2436 -0.7182 -vn -0.0416 -0.1316 -0.9904 -vn 0.5888 -0.4286 -0.6853 -vn 0.6399 -0.2661 0.7210 -vn 0.8694 -0.4935 0.0247 -vn 0.0371 0.1150 0.9927 -vn -0.5852 0.4274 0.6891 -vn -0.8702 0.4926 -0.0121 -vn -0.6511 0.2711 -0.7089 -vn -0.0487 -0.1117 -0.9925 -vn 0.5841 -0.4301 -0.6884 -vn 0.6311 -0.2687 0.7277 -vn 0.9027 -0.4295 0.0267 -vn -0.0046 0.0457 0.9989 -vn -0.6343 0.3317 0.6984 -vn -0.9036 0.4283 0.0002 -vn -0.6547 0.2784 -0.7027 -vn -0.0178 -0.0379 -0.9991 -vn 0.6347 -0.3345 -0.6966 -vn 0.6334 -0.2798 0.7215 -vn 0.9310 -0.3646 0.0190 -vn -0.0325 -0.0328 0.9989 -vn -0.6774 0.2316 0.6982 -vn -0.9322 0.3618 -0.0056 -vn -0.6463 0.2814 -0.7094 -vn 0.0210 0.0344 -0.9992 -vn 0.6775 -0.2343 -0.6972 -vn 0.6585 -0.2610 0.7059 -vn 0.9321 -0.3622 -0.0024 -vn -0.0100 -0.0045 0.9999 -vn -0.6747 0.2548 0.6928 -vn -0.9327 0.3596 -0.0279 -vn -0.6404 0.2511 -0.7258 -vn 0.0182 -0.0021 -0.9998 -vn 0.6643 -0.2541 -0.7030 -vn 0.6877 -0.2032 0.6970 -vn 0.9104 -0.4138 -0.0038 -vn 0.0505 0.1310 0.9901 -vn -0.6214 0.3866 0.6814 -vn -0.9132 0.4058 -0.0376 -vn -0.6635 0.1851 -0.7249 -vn -0.0370 -0.1398 -0.9895 -vn 0.6079 -0.3852 -0.6943 -vn 0.7116 -0.1430 0.6879 -vn 0.8873 -0.4610 0.0135 -vn 0.1105 0.2624 0.9586 -vn -0.5593 0.5104 0.6533 -vn -0.8916 0.4510 -0.0416 -vn -0.6971 0.1266 -0.7057 -vn -0.1027 -0.2686 -0.9578 -vn 0.5483 -0.5101 -0.6627 -vn 0.7160 -0.1117 0.6891 -vn 0.8804 -0.4730 0.0343 -vn 0.1322 0.3142 0.9401 -vn -0.5290 0.5554 0.6416 -vn -0.8814 0.4712 -0.0324 -vn -0.7177 0.1102 -0.6875 -vn -0.1336 -0.3160 -0.9393 -vn 0.5283 -0.5575 -0.6404 -vn 0.7111 -0.1080 0.6948 -vn 0.8819 -0.4695 0.0425 -vn 0.1285 0.3134 0.9409 -vn -0.5271 0.5530 0.6452 -vn -0.8806 0.4733 -0.0238 -vn -0.7217 0.1158 -0.6825 -vn -0.1352 -0.3127 -0.9402 -vn 0.5324 -0.5563 -0.6381 -vn -0.3214 0.6330 0.7043 -vn -0.3210 0.6319 0.7054 -vn -0.3825 0.9240 0.0007 -vn -0.3825 0.9240 0.0002 -vn -0.0715 -0.0283 0.9970 -vn -0.0708 -0.0300 0.9970 -vn 0.2213 -0.6735 0.7053 -vn 0.2216 -0.6741 0.7046 -vn 0.3849 -0.9230 -0.0009 -vn 0.3848 -0.9230 -0.0005 -vn 0.3230 -0.6298 -0.7064 -vn 0.3233 -0.6309 -0.7053 -vn 0.0724 0.0327 -0.9968 -vn 0.0731 0.0310 -0.9968 -vn -0.2196 0.6757 -0.7037 -vn -0.2193 0.6751 -0.7044 -vn -0.3257 0.6282 0.7066 -vn -0.3923 0.9198 0.0005 -vn -0.0674 -0.0314 0.9972 -vn 0.2306 -0.6713 0.7044 -vn 0.3945 -0.9189 0.0010 -vn 0.3289 -0.6303 -0.7032 -vn 0.0716 0.0276 -0.9970 -vn -0.2274 0.6706 -0.7061 -vn -0.3391 0.6191 0.7083 -vn -0.4251 0.9052 0.0000 -vn -0.0538 -0.0291 0.9981 -vn 0.2625 -0.6578 0.7060 -vn 0.4268 -0.9043 0.0053 -vn 0.3444 -0.6263 -0.6994 -vn 0.0611 0.0189 -0.9980 -vn -0.2587 0.6556 -0.7094 -vn -0.3546 0.6143 0.7049 -vn -0.4585 0.8887 -0.0039 -vn -0.0421 -0.0199 0.9989 -vn 0.2951 -0.6409 0.7086 -vn 0.4606 -0.8876 0.0058 -vn 0.3584 -0.6167 -0.7009 -vn 0.0471 0.0157 -0.9988 -vn -0.2917 0.6402 -0.7106 -vn -0.3556 0.6236 0.6962 -vn -0.4378 0.8990 -0.0091 -vn -0.0635 -0.0183 0.9978 -vn 0.2683 -0.6516 0.7095 -vn 0.4413 -0.8974 -0.0015 -vn 0.3527 -0.6096 -0.7099 -vn 0.0587 0.0347 -0.9977 -vn -0.2667 0.6557 -0.7063 -vn -0.3363 0.6435 0.6876 -vn -0.3265 0.9452 -0.0047 -vn -0.1490 -0.0387 0.9881 -vn 0.1321 -0.7074 0.6944 -vn 0.3333 -0.9424 -0.0270 -vn 0.3316 -0.6057 -0.7233 -vn 0.1376 0.0786 -0.9874 -vn -0.1320 0.7122 -0.6895 -vn -0.3126 0.6392 0.7026 -vn -0.2107 0.9772 0.0266 -vn -0.2300 -0.0767 0.9702 -vn -0.0100 -0.7483 0.6633 -vn 0.2167 -0.9755 -0.0381 -vn 0.3154 -0.6222 -0.7165 -vn 0.2293 0.0953 -0.9687 -vn 0.0125 0.7516 -0.6595 -vn -0.2999 0.6021 0.7400 -vn -0.2947 0.9544 0.0476 -vn -0.1285 -0.0885 0.9878 -vn 0.1118 -0.7183 0.6867 -vn 0.2919 -0.9564 0.0107 -vn 0.3123 -0.6606 -0.6827 -vn 0.1516 0.0346 -0.9878 -vn -0.1036 0.7206 -0.6855 -vn -0.2574 0.6049 0.7535 -vn -0.5538 0.8290 0.0776 -vn 0.1734 0.0501 0.9836 -vn 0.5067 -0.5244 0.6844 -vn 0.5715 -0.8203 0.0217 -vn 0.3266 -0.6735 -0.6631 -vn -0.1204 -0.1231 -0.9851 -vn -0.5072 0.5311 -0.6788 -vn -0.2438 0.6431 0.7259 -vn -0.7567 0.6381 0.1418 -vn 0.3957 0.2755 0.8761 -vn 0.8065 -0.2370 0.5416 -vn 0.7787 -0.6210 -0.0895 -vn 0.3112 -0.6615 -0.6823 -vn -0.3524 -0.3110 -0.8827 -vn -0.8082 0.2365 -0.5394 -vn -0.3292 0.6202 0.7120 -vn -0.8119 0.5719 0.1178 -vn 0.3636 0.2938 0.8840 -vn 0.8333 -0.2155 0.5090 -vn 0.7896 -0.5882 -0.1750 -vn 0.2791 -0.6048 -0.7459 -vn -0.3806 -0.2763 -0.8825 -vn -0.8231 0.2016 -0.5309 -vn -0.4180 0.5365 0.7331 -vn -0.7206 0.6910 0.0577 -vn 0.1511 0.0498 0.9873 -vn 0.6356 -0.4801 0.6046 -vn 0.7042 -0.6919 -0.1592 -vn 0.3532 -0.4851 -0.8000 -vn -0.1844 -0.0143 -0.9828 -vn -0.6190 0.4617 -0.6354 -vn -0.4995 0.4401 0.7462 -vn -0.6022 0.7949 0.0747 -vn -0.0930 -0.1894 0.9775 -vn 0.3743 -0.7042 0.6034 -vn 0.6086 -0.7815 -0.1376 -vn 0.4778 -0.3961 -0.7841 -vn 0.0782 0.2066 -0.9753 -vn -0.3611 0.6911 -0.6261 -vn -0.5338 0.3844 0.7532 -vn -0.5686 0.8140 0.1187 -vn -0.1862 -0.2690 0.9450 -vn 0.2698 -0.7640 0.5861 -vn 0.5699 -0.8135 -0.1158 -vn 0.5361 -0.3850 -0.7513 -vn 0.1878 0.2691 -0.9446 -vn -0.2691 0.7652 -0.5848 -vn -0.5267 0.3721 0.7643 -vn -0.5733 0.8079 0.1365 -vn -0.1778 -0.2711 0.9460 -vn 0.2699 -0.7579 0.5940 -vn 0.5679 -0.8173 -0.0975 -vn 0.5395 -0.4002 -0.7409 -vn 0.1886 0.2613 -0.9467 -vn -0.2771 0.7667 -0.5792 -vn 0.0237 -0.7005 0.7132 -vn 0.0225 -0.7118 0.7020 -vn -0.0300 -0.9995 -0.0053 -vn -0.0290 -0.9996 0.0015 -vn 0.0617 0.0094 0.9981 -vn 0.0610 -0.0060 0.9981 -vn 0.0632 0.7068 0.7045 -vn 0.0627 0.7025 0.7089 -vn 0.0281 0.9995 0.0120 -vn 0.0271 0.9996 0.0055 -vn -0.0240 0.7228 -0.6906 -vn -0.0252 0.7119 -0.7018 -vn -0.0631 0.0220 -0.9978 -vn -0.0637 0.0062 -0.9979 -vn -0.0653 -0.6978 -0.7133 -vn -0.0657 -0.7024 -0.7087 -vn -0.0174 -0.7238 0.6898 -vn -0.1213 -0.9926 -0.0063 -vn 0.0969 -0.0317 0.9948 -vn 0.1532 0.6890 0.7084 -vn 0.1157 0.9932 -0.0121 -vn 0.0076 0.6931 -0.7208 -vn -0.1049 -0.0117 -0.9944 -vn -0.1572 -0.7012 -0.6954 -vn -0.1099 -0.7063 0.6993 -vn -0.3265 -0.9449 0.0229 -vn 0.1726 -0.0571 0.9833 -vn 0.3560 0.6391 0.6817 -vn 0.3200 0.9463 -0.0450 -vn 0.0868 0.6693 -0.7379 -vn -0.1940 0.0016 -0.9810 -vn -0.3609 -0.6563 -0.6626 -vn -0.1924 -0.6621 0.7243 -vn -0.5161 -0.8535 0.0720 -vn 0.2467 -0.0844 0.9654 -vn 0.5443 0.5521 0.6316 -vn 0.5101 0.8554 -0.0903 -vn 0.1655 0.6375 -0.7525 -vn -0.2720 0.0464 -0.9612 -vn -0.5487 -0.5637 -0.6174 -vn -0.2031 -0.6363 0.7442 -vn -0.5882 -0.8022 0.1026 -vn 0.3024 -0.0945 0.9485 -vn 0.6287 0.5028 0.5932 -vn 0.5845 0.8040 -0.1093 -vn 0.1982 0.6352 -0.7465 -vn -0.3038 0.0963 -0.9479 -vn -0.6289 -0.4982 -0.5969 -vn -0.1635 -0.6631 0.7305 -vn -0.5670 -0.8186 0.0913 -vn 0.3366 -0.1125 0.9349 -vn 0.6352 0.5024 0.5866 -vn 0.5611 0.8214 -0.1019 -vn 0.1624 0.6649 -0.7290 -vn -0.3307 0.1251 -0.9354 -vn -0.6340 -0.4889 -0.5991 -vn -0.1287 -0.6922 0.7102 -vn -0.5469 -0.8330 0.0838 -vn 0.3656 -0.1428 0.9197 -vn 0.6438 0.4915 0.5865 -vn 0.5416 0.8357 -0.0914 -vn 0.1220 0.6899 -0.7135 -vn -0.3683 0.1434 -0.9186 -vn -0.6450 -0.4860 -0.5897 -vn -0.1414 -0.6724 0.7266 -vn -0.5467 -0.8312 0.1008 -vn 0.3423 -0.1266 0.9310 -vn 0.6290 0.4919 0.6019 -vn 0.5527 0.8298 -0.0775 -vn 0.1487 0.6817 -0.7164 -vn -0.3465 0.1268 -0.9294 -vn -0.6345 -0.5024 -0.5873 -vn -0.2094 -0.6086 0.7654 -vn -0.5144 -0.8503 0.1117 -vn 0.2094 -0.0255 0.9775 -vn 0.5096 0.5702 0.6444 -vn 0.5249 0.8496 -0.0520 -vn 0.2366 0.6427 -0.7287 -vn -0.2009 0.0439 -0.9786 -vn -0.5180 -0.5870 -0.6222 -vn -0.3004 -0.5694 0.7652 -vn -0.4856 -0.8700 0.0853 -vn 0.0555 0.0604 0.9966 -vn 0.3762 0.6521 0.6583 -vn 0.4829 0.8736 -0.0600 -vn 0.3050 0.5829 -0.7531 -vn -0.0590 -0.0577 -0.9966 -vn -0.3868 -0.6590 -0.6451 -vn -0.3500 -0.5983 0.7208 -vn -0.6232 -0.7807 0.0466 -vn 0.1375 -0.0492 0.9893 -vn 0.5474 0.5478 0.6326 -vn 0.6027 0.7866 -0.1340 -vn 0.2821 0.5376 -0.7946 -vn -0.1907 -0.0052 -0.9816 -vn -0.5535 -0.5352 -0.6382 -vn -0.3571 -0.6160 0.7021 -vn -0.8506 -0.4991 0.1654 -vn 0.3736 -0.3723 0.8496 -vn 0.8901 0.1336 0.4358 -vn 0.7943 0.5440 -0.2705 -vn 0.2142 0.5981 -0.7723 -vn -0.4609 0.3207 -0.8275 -vn -0.8859 -0.1206 -0.4479 -vn -0.3333 -0.6290 0.7024 -vn -0.8849 -0.2107 0.4153 -vn 0.4358 -0.6897 0.5783 -vn 0.9466 -0.3122 0.0800 -vn 0.8422 0.2698 -0.4667 -vn 0.2218 0.6661 -0.7121 -vn -0.5036 0.6689 -0.5468 -vn -0.9455 0.3128 -0.0905 -vn -0.2803 -0.6598 0.6972 -vn -0.8246 -0.1358 0.5492 -vn 0.4280 -0.7936 0.4325 -vn 0.8816 -0.4649 -0.0810 -vn 0.8261 0.1338 -0.5474 -vn 0.2844 0.6591 -0.6962 -vn -0.4258 0.7941 -0.4337 -vn -0.8821 0.4642 0.0805 -vn -0.2508 -0.6738 0.6950 -vn -0.8145 -0.1590 0.5579 -vn 0.4473 -0.7856 0.4274 -vn 0.8853 -0.4595 -0.0715 -vn 0.8382 0.1197 -0.5320 -vn 0.3136 0.6434 -0.6983 -vn -0.4081 0.7947 -0.4494 -vn -0.8847 0.4595 0.0786 -vn 0.5901 0.4054 0.6981 -vn 0.5882 0.4048 0.7001 -vn 0.8965 0.4430 0.0006 -vn 0.8967 0.4425 -0.0027 -vn -0.0636 0.1290 0.9896 -vn -0.0642 0.1286 0.9896 -vn -0.6798 -0.2244 0.6983 -vn -0.6787 -0.2237 0.6996 -vn -0.8949 -0.4462 -0.0034 -vn -0.8951 -0.4458 -0.0002 -vn -0.5849 -0.4069 -0.7016 -vn -0.5868 -0.4076 -0.6997 -vn 0.0662 -0.1311 -0.9892 -vn 0.0657 -0.1314 -0.9891 -vn 0.6790 0.2201 -0.7004 -vn 0.6801 0.2208 -0.6991 -vn 0.5902 0.3945 0.7043 -vn 0.8945 0.4470 0.0046 -vn -0.0568 0.1114 0.9922 -vn -0.6700 -0.2369 0.7035 -vn -0.8937 -0.4487 0.0049 -vn -0.5942 -0.3991 -0.6984 -vn 0.0565 -0.1151 -0.9917 -vn 0.6744 0.2362 -0.6995 -vn 0.6010 0.3658 0.7106 -vn 0.8872 0.4613 0.0084 -vn -0.0315 0.0581 0.9978 -vn -0.6446 -0.2833 0.7101 -vn -0.8865 -0.4626 0.0115 -vn -0.6114 -0.3734 -0.6977 -vn 0.0277 -0.0633 -0.9976 -vn 0.6519 0.2844 -0.7030 -vn 0.6189 0.3386 0.7088 -vn 0.8797 0.4755 0.0028 -vn -0.0011 0.0040 1.0000 -vn -0.6194 -0.3333 0.7108 -vn -0.8782 -0.4783 0.0077 -vn -0.6231 -0.3444 -0.7023 -vn 0.0005 -0.0080 -1.0000 -vn 0.6245 0.3325 -0.7068 -vn 0.6260 0.3498 0.6970 -vn 0.8874 0.4608 -0.0134 -vn -0.0074 0.0299 0.9995 -vn -0.6380 -0.3097 0.7050 -vn -0.8856 -0.4643 -0.0096 -vn -0.6095 -0.3455 -0.7136 -vn 0.0182 -0.0283 -0.9994 -vn 0.6341 0.3034 -0.7113 -vn 0.6089 0.3940 0.6885 -vn 0.9100 0.4145 -0.0142 -vn -0.0580 0.1377 0.9888 -vn -0.6926 -0.2040 0.6919 -vn -0.9064 -0.4219 -0.0200 -vn -0.5838 -0.3897 -0.7122 -vn 0.0719 -0.1345 -0.9883 -vn 0.6849 0.1955 -0.7019 -vn 0.5862 0.4360 0.6828 -vn 0.9292 0.3695 0.0022 -vn -0.1061 0.2441 0.9639 -vn -0.7368 -0.0953 0.6694 -vn -0.9256 -0.3778 -0.0238 -vn -0.5678 -0.4365 -0.6979 -vn 0.1166 -0.2426 -0.9631 -vn 0.7325 0.0890 -0.6750 -vn 0.5724 0.4396 0.6922 -vn 0.9339 0.3567 0.0235 -vn -0.1208 0.2656 0.9565 -vn -0.7433 -0.0631 0.6660 -vn -0.9341 -0.3569 -0.0130 -vn -0.5770 -0.4432 -0.6860 -vn 0.1210 -0.2692 -0.9555 -vn 0.7480 0.0630 -0.6607 -vn 0.5931 0.3678 0.7162 -vn 0.9344 0.3539 0.0396 -vn -0.0832 0.1717 0.9816 -vn -0.7125 -0.1227 0.6908 -vn -0.9369 -0.3496 0.0011 -vn -0.6111 -0.3738 -0.6977 -vn 0.0877 -0.1731 -0.9810 -vn 0.7325 0.1317 -0.6679 -vn 0.6267 0.2914 0.7227 -vn 0.9389 0.3430 0.0274 -vn -0.0466 0.0706 0.9964 -vn -0.6939 -0.1922 0.6940 -vn -0.9383 -0.3455 -0.0154 -vn -0.6307 -0.2973 -0.7168 -vn 0.0485 -0.0748 -0.9960 -vn 0.7004 0.1915 -0.6876 -vn 0.5986 0.4059 0.6906 -vn 0.9235 0.3831 -0.0214 -vn -0.1032 0.1746 0.9792 -vn -0.7347 -0.1633 0.6584 -vn -0.9155 -0.3997 -0.0462 -vn -0.5735 -0.4072 -0.7108 -vn 0.0825 -0.1908 -0.9782 -vn 0.6970 0.1319 -0.7048 -vn 0.4723 0.6728 0.5694 -vn 0.8816 0.4666 -0.0713 -vn -0.2463 0.4514 0.8576 -vn -0.7987 -0.0536 0.5993 -vn -0.8590 -0.5119 -0.0070 -vn -0.4373 -0.6742 -0.5951 -vn 0.2188 -0.4699 -0.8552 -vn 0.7598 -0.0087 -0.6501 -vn 0.3254 0.8713 0.3673 -vn 0.8317 0.5399 -0.1296 -vn -0.3891 0.6616 0.6410 -vn -0.8555 0.0430 0.5160 -vn -0.8045 -0.5877 0.0864 -vn -0.2990 -0.8735 -0.3843 -vn 0.3678 -0.6757 -0.6388 -vn 0.8353 -0.1027 -0.5402 -vn 0.2532 0.9287 0.2711 -vn 0.7961 0.5873 -0.1457 -vn -0.4352 0.7280 0.5297 -vn -0.8710 0.1018 0.4806 -vn -0.7961 -0.5864 0.1492 -vn -0.2535 -0.9291 -0.2692 -vn 0.4366 -0.7280 -0.5285 -vn 0.8727 -0.1004 -0.4779 -vn 0.2484 0.9271 0.2806 -vn 0.7882 0.6008 -0.1331 -vn -0.4269 0.7296 0.5342 -vn -0.8647 0.1185 0.4882 -vn -0.8057 -0.5705 0.1590 -vn -0.2635 -0.9268 -0.2677 -vn 0.4413 -0.7220 -0.5329 -vn 0.8769 -0.0809 -0.4739 -vn 0.0101 0.7148 0.6992 -vn 0.0098 0.7140 0.7001 -vn 0.1621 0.9868 0.0014 -vn 0.1620 0.9868 0.0016 -vn -0.1472 0.0248 0.9888 -vn -0.1475 0.0229 0.9888 -vn -0.2177 -0.6807 0.6995 -vn -0.2178 -0.6818 0.6984 -vn -0.1598 -0.9871 -0.0008 -vn -0.1598 -0.9872 -0.0010 -vn -0.0073 -0.7135 -0.7006 -vn -0.0075 -0.7144 -0.6997 -vn 0.1501 -0.0213 -0.9884 -vn 0.1498 -0.0232 -0.9884 -vn 0.2200 0.6825 -0.6970 -vn 0.2200 0.6814 -0.6980 -vn 0.0008 0.7142 0.7000 -vn 0.1512 0.9885 -0.0006 -vn -0.1492 0.0204 0.9886 -vn -0.2110 -0.6844 0.6979 -vn -0.1489 -0.9888 0.0003 -vn 0.0006 -0.7168 -0.6973 -vn 0.1506 -0.0261 -0.9883 -vn 0.2132 0.6810 -0.7006 -vn 0.0158 0.7124 0.7016 -vn 0.1531 0.9882 0.0048 -vn -0.1299 0.0235 0.9912 -vn -0.1998 -0.6804 0.7051 -vn -0.1523 -0.9883 0.0052 -vn -0.0142 -0.7142 -0.6998 -vn 0.1330 -0.0172 -0.9910 -vn 0.2021 0.6884 -0.6966 -vn 0.0355 0.7090 0.7043 -vn 0.1600 0.9871 0.0018 -vn -0.1092 0.0157 0.9939 -vn -0.1890 -0.6871 0.7015 -vn -0.1571 -0.9876 -0.0007 -vn -0.0328 -0.7117 -0.7017 -vn 0.1113 -0.0199 -0.9936 -vn 0.1914 0.6852 -0.7028 -vn -0.0812 0.7200 0.6892 -vn 0.0656 0.9974 -0.0311 -vn -0.1773 0.0013 0.9842 -vn -0.1650 -0.7079 0.6868 -vn -0.0565 -0.9984 -0.0016 -vn 0.0836 -0.7255 -0.6831 -vn 0.1776 -0.0459 -0.9830 -vn 0.1720 0.6677 -0.7243 -vn -0.3244 0.7116 0.6232 -vn -0.1164 0.9895 -0.0853 -vn -0.3300 -0.0085 0.9439 -vn -0.1356 -0.7113 0.6897 -vn 0.1337 -0.9901 0.0431 -vn 0.3260 -0.7133 -0.6204 -vn 0.3383 -0.0404 -0.9402 -vn 0.1595 0.6637 -0.7308 -vn -0.5481 0.6511 0.5250 -vn -0.2863 0.9456 -0.1545 -vn -0.4718 -0.0422 0.8807 -vn -0.1140 -0.7003 0.7047 -vn 0.3039 -0.9445 0.1251 -vn 0.5479 -0.6555 -0.5197 -vn 0.4860 0.0012 -0.8740 -vn 0.1460 0.6649 -0.7325 -vn -0.6492 0.5997 0.4678 -vn -0.3963 0.8972 -0.1949 -vn -0.5193 -0.0479 0.8532 -vn -0.0877 -0.6651 0.7415 -vn 0.3938 -0.8967 0.2021 -vn 0.6487 -0.6107 -0.4542 -vn 0.5275 0.0333 -0.8489 -vn 0.0939 0.6620 -0.7436 -vn -0.6822 0.5756 0.4509 -vn -0.4651 0.8526 -0.2382 -vn -0.4941 -0.0390 0.8685 -vn -0.0206 -0.6258 0.7797 -vn 0.4633 -0.8517 0.2450 -vn 0.6831 -0.5898 -0.4307 -vn 0.5087 0.0162 -0.8608 -vn 0.0325 0.6181 -0.7854 -vn -0.7201 0.5478 0.4259 -vn -0.5363 0.7963 -0.2799 -vn -0.4786 -0.0219 0.8777 -vn 0.0413 -0.5757 0.8166 -vn 0.5363 -0.7945 0.2850 -vn 0.7232 -0.5559 -0.4098 -vn 0.4918 0.0069 -0.8707 -vn -0.0313 0.5707 -0.8206 -vn -0.6378 0.6219 0.4545 -vn -0.4896 0.8380 -0.2410 -vn -0.4317 0.0600 0.9000 -vn 0.0244 -0.5438 0.8389 -vn 0.4765 -0.8343 0.2773 -vn 0.6409 -0.6127 -0.4625 -vn 0.4075 -0.0120 -0.9131 -vn -0.0647 0.5862 -0.8076 -vn -0.3649 0.7572 0.5418 -vn -0.2557 0.9533 -0.1605 -vn -0.2745 0.1466 0.9503 -vn -0.0268 -0.5575 0.8297 -vn 0.2447 -0.9471 0.2078 -vn 0.3672 -0.7446 -0.5575 -vn 0.2572 -0.0729 -0.9636 -vn -0.0036 0.6247 -0.7808 -vn -0.0560 0.8013 0.5956 -vn 0.0100 0.9928 -0.1195 -vn -0.0904 0.1644 0.9822 -vn -0.0736 -0.5756 0.8144 -vn -0.0132 -0.9873 0.1582 -vn 0.0566 -0.7947 -0.6043 -vn 0.0923 -0.1102 -0.9896 -vn 0.0716 0.6286 -0.7745 -vn 0.0752 0.7907 0.6076 -vn 0.1200 0.9841 -0.1309 -vn -0.0130 0.1342 0.9909 -vn -0.0933 -0.6025 0.7926 -vn -0.1185 -0.9845 0.1295 -vn -0.0739 -0.7911 -0.6072 -vn 0.0146 -0.1363 -0.9906 -vn 0.0952 0.6004 -0.7940 -vn 0.0706 0.7892 0.6101 -vn 0.1167 0.9828 -0.1428 -vn -0.0176 0.1182 0.9928 -vn -0.0936 -0.6178 0.7807 -vn -0.1134 -0.9864 0.1187 -vn -0.0682 -0.7936 -0.6046 -vn 0.0162 -0.1520 -0.9882 -vn 0.0931 0.5848 -0.8059 -vn -0.2158 -0.6800 0.7007 -vn -0.2156 -0.6797 0.7011 -vn -0.4302 -0.9028 0.0012 -vn -0.4300 -0.9028 0.0021 -vn 0.1239 -0.0597 0.9905 -vn 0.1247 -0.0582 0.9905 -vn 0.3910 0.5964 0.7010 -vn 0.3914 0.5977 0.6997 -vn 0.4283 0.9036 0.0001 -vn 0.4282 0.9037 -0.0009 -vn 0.2134 0.6803 -0.7012 -vn 0.2137 0.6806 -0.7008 -vn -0.1274 0.0575 -0.9902 -vn -0.1266 0.0591 -0.9902 -vn -0.3937 -0.5981 -0.6981 -vn -0.3933 -0.5968 -0.6994 -vn -0.2055 -0.6838 0.7001 -vn -0.4214 -0.9069 -0.0016 -vn 0.1307 -0.0583 0.9897 -vn 0.3892 0.6008 0.6983 -vn 0.4192 0.9079 -0.0008 -vn 0.2043 0.6856 -0.6988 -vn -0.1305 0.0635 -0.9894 -vn -0.3899 -0.5963 -0.7017 -vn -0.1830 -0.6925 0.6978 -vn -0.3973 -0.9177 -0.0047 -vn 0.1381 -0.0599 0.9886 -vn 0.3771 0.6066 0.6999 -vn 0.3954 0.9185 0.0040 -vn 0.1831 0.6963 -0.6940 -vn -0.1367 0.0681 -0.9883 -vn -0.3777 -0.6013 -0.7041 -vn -0.1614 -0.7027 0.6929 -vn -0.3725 -0.9280 -0.0097 -vn 0.1439 -0.0639 0.9875 -vn 0.3638 0.6117 0.7025 -vn 0.3702 0.9289 0.0076 -vn 0.1602 0.7047 -0.6912 -vn -0.1439 0.0695 -0.9871 -vn -0.3649 -0.6071 -0.7059 -vn -0.1499 -0.7115 0.6865 -vn -0.3731 -0.9277 -0.0123 -vn 0.1613 -0.0763 0.9839 -vn 0.3771 0.6050 0.7012 -vn 0.3697 0.9291 0.0050 -vn 0.1444 0.7067 -0.6926 -vn -0.1653 0.0723 -0.9836 -vn -0.3790 -0.6029 -0.7021 -vn -0.1529 -0.7176 0.6794 -vn -0.4233 -0.9060 -0.0062 -vn 0.2091 -0.1061 0.9721 -vn 0.4481 0.5734 0.6859 -vn 0.4173 0.9087 -0.0128 -vn 0.1380 0.7017 -0.6990 -vn -0.2198 0.0876 -0.9716 -vn -0.4500 -0.5733 -0.6847 -vn -0.1480 -0.7131 0.6853 -vn -0.4724 -0.8813 0.0133 -vn 0.2640 -0.1240 0.9565 -vn 0.5195 0.5390 0.6631 -vn 0.4678 0.8836 -0.0213 -vn 0.1403 0.7081 -0.6920 -vn -0.2691 0.1193 -0.9557 -vn -0.5216 -0.5364 -0.6635 -vn -0.1191 -0.7003 0.7039 -vn -0.4036 -0.9148 0.0161 -vn 0.2288 -0.0808 0.9701 -vn 0.4430 0.5776 0.6857 -vn 0.4086 0.9125 0.0177 -vn 0.1410 0.7323 -0.6662 -vn -0.2144 0.1207 -0.9693 -vn -0.4454 -0.5719 -0.6888 -vn -0.1321 -0.6914 0.7103 -vn -0.2399 -0.9708 0.0017 -vn 0.0487 -0.0212 0.9986 -vn 0.2003 0.6544 0.7291 -vn 0.2407 0.9690 0.0563 -vn 0.1448 0.7393 -0.6576 -vn -0.0400 0.0648 -0.9971 -vn -0.2035 -0.6610 -0.7223 -vn -0.1536 -0.6939 0.7035 -vn -0.0737 -0.9973 -0.0030 -vn -0.1429 0.0075 0.9897 -vn -0.0522 0.6981 0.7141 -vn 0.0669 0.9970 0.0377 -vn 0.1483 0.7312 -0.6659 -vn 0.1442 0.0324 -0.9890 -vn 0.0520 -0.6957 -0.7165 -vn -0.0428 -0.7114 0.7015 -vn 0.0848 -0.9963 -0.0170 -vn -0.1439 0.0095 0.9895 -vn -0.1581 0.7156 0.6804 -vn -0.0817 0.9965 -0.0193 -vn 0.0397 0.7107 -0.7024 -vn 0.1384 0.0256 -0.9900 -vn 0.1587 -0.6797 -0.7161 -vn 0.1940 -0.6807 0.7064 -vn 0.2245 -0.9743 -0.0207 -vn 0.0419 0.0387 0.9984 -vn -0.1346 0.7251 0.6754 -vn -0.2291 0.9727 -0.0359 -vn -0.1940 0.6696 -0.7169 -vn -0.0519 -0.0043 -0.9986 -vn 0.1200 -0.6816 -0.7219 -vn 0.4199 -0.6033 0.6780 -vn 0.3640 -0.9308 -0.0318 -vn 0.2178 0.0929 0.9716 -vn -0.1128 0.7248 0.6797 -vn -0.3734 0.9277 -0.0021 -vn -0.4209 0.6043 -0.6765 -vn -0.2328 -0.0581 -0.9708 -vn 0.0895 -0.6942 -0.7142 -vn 0.5095 -0.5641 0.6498 -vn 0.4345 -0.9001 -0.0323 -vn 0.2865 0.1009 0.9528 -vn -0.1052 0.7079 0.6984 -vn -0.4356 0.8995 0.0340 -vn -0.5108 0.5634 -0.6493 -vn -0.2874 -0.1029 -0.9523 -vn 0.1045 -0.7099 -0.6965 -vn 0.5056 -0.5665 0.6507 -vn 0.4345 -0.9004 -0.0216 -vn 0.2886 0.0898 0.9532 -vn -0.0973 0.6992 0.7083 -vn -0.4302 0.9017 0.0434 -vn -0.5077 0.5645 -0.6508 -vn -0.2802 -0.1122 -0.9533 -vn 0.1120 -0.7185 -0.6864 -vn 0.4144 -0.5994 0.6849 -vn 0.4144 -0.6016 0.6829 -vn 0.3807 -0.9246 -0.0095 -vn 0.3793 -0.9251 -0.0176 -vn 0.2004 0.0849 0.9760 -vn 0.2050 0.0734 0.9760 -vn -0.1313 0.7144 0.6873 -vn -0.1254 0.7058 0.6973 -vn -0.3842 0.9232 0.0021 -vn -0.3829 0.9238 0.0099 -vn -0.4166 0.6029 -0.6804 -vn -0.4166 0.6007 -0.6823 -vn -0.2116 -0.0629 -0.9753 -vn -0.2071 -0.0742 -0.9755 -vn 0.1174 -0.6977 -0.7067 -vn 0.1234 -0.7066 -0.6968 -vn 0.3378 -0.6330 0.6966 -vn 0.3170 -0.9483 0.0149 -vn 0.1668 0.0413 0.9851 -vn -0.1028 0.6982 0.7084 -vn -0.3158 0.9488 0.0082 -vn -0.3398 0.6261 -0.7018 -vn -0.1583 -0.0749 -0.9845 -vn 0.1145 -0.7245 -0.6797 -vn 0.1391 -0.6796 0.7203 -vn 0.1586 -0.9865 0.0400 -vn 0.0414 0.0072 0.9991 -vn -0.0815 0.6972 0.7122 -vn -0.1590 0.9873 -0.0005 -vn -0.1408 0.6764 -0.7229 -vn -0.0362 -0.0521 -0.9980 -vn 0.0879 -0.7380 -0.6691 -vn -0.0696 -0.6966 0.7141 -vn -0.0074 -0.9995 0.0296 -vn -0.0932 0.0007 0.9956 -vn -0.0639 0.7045 0.7068 -vn 0.0037 1.0000 -0.0049 -vn 0.0690 0.6912 -0.7194 -vn 0.0913 -0.0362 -0.9952 -vn 0.0588 -0.7341 -0.6764 -vn -0.1250 -0.7000 0.7031 -vn -0.0863 -0.9963 -0.0035 -vn -0.0904 0.0147 0.9958 -vn -0.0019 0.7221 0.6918 -vn 0.0868 0.9960 -0.0231 -vn 0.1231 0.6846 -0.7184 -vn 0.0874 -0.0187 -0.9960 -vn 0.0014 -0.7109 -0.7032 -vn -0.0275 -0.7163 0.6973 -vn -0.1069 -0.9941 -0.0159 -vn 0.0691 -0.0001 0.9976 -vn 0.1228 0.7173 0.6858 -vn 0.1013 0.9942 -0.0352 -vn 0.0206 0.6887 -0.7248 -vn -0.0716 -0.0041 -0.9974 -vn -0.1240 -0.6938 -0.7094 -vn 0.0680 -0.7205 0.6901 -vn -0.1307 -0.9914 0.0003 -vn 0.2268 -0.0189 0.9737 -vn 0.2492 0.6951 0.6743 -vn 0.1224 0.9921 -0.0260 -vn -0.0757 0.7043 -0.7058 -vn -0.2294 0.0124 -0.9733 -vn -0.2523 -0.6847 -0.6837 -vn 0.0935 -0.7000 0.7080 -vn -0.0848 -0.9962 0.0201 -vn 0.2140 -0.0014 0.9768 -vn 0.2114 0.6921 0.6901 -vn 0.0890 0.9959 0.0134 -vn -0.0868 0.7298 -0.6782 -vn -0.2148 0.0281 -0.9763 -vn -0.2147 -0.6953 -0.6859 -vn 0.0655 -0.6866 0.7241 -vn 0.0746 -0.9970 0.0186 -vn 0.0185 0.0096 0.9998 -vn -0.0389 0.6934 0.7195 -vn -0.0754 0.9962 0.0428 -vn -0.0705 0.7423 -0.6664 -vn -0.0245 0.0431 -0.9988 -vn 0.0372 -0.6979 -0.7152 -vn 0.0414 -0.7036 0.7094 -vn 0.2345 -0.9720 0.0132 -vn -0.1737 -0.0291 0.9844 -vn -0.2889 0.6547 0.6985 -vn -0.2420 0.9701 0.0192 -vn -0.0559 0.7317 -0.6794 -vn 0.1657 0.0561 -0.9846 -vn 0.2877 -0.6576 -0.6963 -vn 0.0222 -0.7452 0.6664 -vn 0.1905 -0.9813 -0.0286 -vn -0.1633 -0.0699 0.9841 -vn -0.2540 0.6579 0.7089 -vn -0.1883 0.9821 -0.0058 -vn -0.0091 0.7039 -0.7102 -vn 0.1705 0.0177 -0.9852 -vn 0.2503 -0.6681 -0.7007 -vn -0.0470 -0.7582 0.6503 -vn -0.0748 -0.9956 -0.0560 -vn 0.0082 -0.0750 0.9972 -vn 0.0593 0.6745 0.7359 -vn 0.0721 0.9974 0.0020 -vn 0.0394 0.6958 -0.7171 -vn -0.0158 -0.0011 -0.9999 -vn -0.0620 -0.6861 -0.7249 -vn -0.1137 -0.7342 0.6693 -vn -0.3336 -0.9425 -0.0197 -vn 0.1767 -0.0939 0.9798 -vn 0.3648 0.6134 0.7005 -vn 0.3271 0.9449 -0.0131 -vn 0.0899 0.6970 -0.7114 -vn -0.1950 0.0447 -0.9798 -vn -0.3659 -0.6232 -0.6912 -vn -0.1266 -0.7056 0.6972 -vn -0.4248 -0.9051 0.0200 -vn 0.2458 -0.0914 0.9650 -vn 0.4731 0.5749 0.6676 -vn 0.4237 0.9056 -0.0184 -vn 0.1260 0.7077 -0.6952 -vn -0.2465 0.0939 -0.9646 -vn -0.4742 -0.5740 -0.6676 -vn -0.1173 -0.6955 0.7089 -vn -0.4192 -0.9074 0.0289 -vn 0.2496 -0.0765 0.9653 -vn 0.4688 0.5798 0.6664 -vn 0.4220 0.9066 -0.0081 -vn 0.1333 0.7183 -0.6829 -vn -0.2378 0.1073 -0.9654 -vn -0.4702 -0.5727 -0.6716 -vn -0.3087 0.6558 0.6889 -vn -0.3087 0.6541 0.6905 -vn -0.2249 0.9744 0.0005 -vn -0.2243 0.9745 -0.0025 -vn -0.2109 -0.0490 0.9763 -vn -0.2109 -0.0491 0.9763 -vn 0.0120 -0.7248 0.6889 -vn 0.0113 -0.7234 0.6903 -vn 0.2283 -0.9736 -0.0029 -vn 0.2277 -0.9737 0.0002 -vn 0.3115 -0.6518 -0.6915 -vn 0.3115 -0.6534 -0.6899 -vn 0.2136 0.0500 -0.9757 -vn 0.2136 0.0498 -0.9756 -vn -0.0079 0.7227 -0.6911 -vn -0.0085 0.7240 -0.6897 -vn -0.2975 0.6545 0.6951 -vn -0.2267 0.9740 0.0041 -vn -0.1939 -0.0456 0.9800 -vn 0.0232 -0.7186 0.6951 -vn 0.2278 -0.9737 0.0048 -vn 0.3004 -0.6585 -0.6901 -vn 0.1969 0.0458 -0.9794 -vn -0.0219 0.7230 -0.6905 -vn -0.2841 0.6484 0.7063 -vn -0.2724 0.9622 0.0043 -vn -0.1296 -0.0396 0.9908 -vn 0.0990 -0.7010 0.7063 -vn 0.2718 -0.9622 0.0187 -vn 0.2897 -0.6701 -0.6834 -vn 0.1382 0.0188 -0.9902 -vn -0.0966 0.7019 -0.7057 -vn -0.2744 0.6604 0.6990 -vn -0.3197 0.9475 -0.0092 -vn -0.0670 -0.0120 0.9977 -vn 0.1801 -0.6746 0.7159 -vn 0.3235 -0.9460 0.0196 -vn 0.2792 -0.6658 -0.6920 -vn 0.0713 0.0100 -0.9974 -vn -0.1769 0.6793 -0.7123 -vn -0.2195 0.7038 0.6757 -vn -0.1845 0.9827 -0.0167 -vn -0.1262 0.0127 0.9919 -vn 0.0490 -0.7011 0.7113 -vn 0.1952 -0.9806 -0.0183 -vn 0.2197 -0.6499 -0.7276 -vn 0.1172 0.0566 -0.9915 -vn -0.0475 0.7186 -0.6938 -vn -0.0966 0.7133 0.6942 -vn 0.1399 0.9890 0.0481 -vn -0.2830 0.0214 0.9589 -vn -0.3001 -0.7065 0.6409 -vn -0.1229 -0.9879 -0.0945 -vn 0.1288 -0.6425 -0.7554 -vn 0.2977 0.0685 -0.9522 -vn 0.2993 0.7268 -0.6182 -vn 0.0088 0.6671 0.7449 -vn 0.4309 0.8865 0.1689 -vn -0.4275 0.0579 0.9022 -vn -0.6142 -0.5997 0.5130 -vn -0.4156 -0.8870 -0.2011 -vn 0.0384 -0.6224 -0.7818 -vn 0.4582 0.0036 -0.8888 -vn 0.6129 0.6160 -0.4949 -vn 0.0197 0.6214 0.7832 -vn 0.5263 0.8155 0.2408 -vn -0.4988 0.0612 0.8646 -vn -0.7233 -0.5328 0.4393 -vn -0.5257 -0.8160 -0.2404 -vn -0.0199 -0.6240 -0.7811 -vn 0.4985 -0.0654 -0.8644 -vn 0.7239 0.5307 -0.4408 -vn 0.0204 0.6029 0.7975 -vn 0.4877 0.8396 0.2391 -vn -0.4538 0.0202 0.8909 -vn -0.6672 -0.5722 0.4769 -vn -0.5002 -0.8402 -0.2095 -vn -0.0418 -0.6244 -0.7799 -vn 0.4471 -0.0363 -0.8937 -vn 0.6695 0.5771 -0.4678 -vn 0.0488 0.5992 0.7991 -vn 0.4670 0.8585 0.2119 -vn -0.3962 -0.0095 0.9181 -vn -0.6099 -0.6134 0.5018 -vn -0.4652 -0.8601 -0.2094 -vn -0.0461 -0.6024 -0.7969 -vn 0.3997 0.0070 -0.9166 -vn 0.6125 0.6123 -0.4999 -vn -0.0355 0.6762 0.7358 -vn 0.4576 0.8739 0.1642 -vn -0.5123 0.0540 0.8571 -vn -0.6670 -0.5981 0.4442 -vn -0.4178 -0.8803 -0.2248 -vn 0.0658 -0.6566 -0.7514 -vn 0.5092 -0.0726 -0.8576 -vn 0.6736 0.5536 -0.4898 -vn -0.2259 0.8051 0.5484 -vn 0.4190 0.9009 0.1133 -vn -0.7397 0.1949 0.6441 -vn -0.7784 -0.5337 0.3305 -vn -0.3486 -0.9214 -0.1718 -vn 0.2676 -0.7809 -0.5644 -vn 0.7324 -0.2168 -0.6454 -vn 0.8007 0.4674 -0.3746 -vn -0.3630 0.8831 0.2972 -vn 0.3796 0.9232 0.0606 -vn -0.8892 0.2919 0.3523 -vn -0.8580 -0.4776 0.1891 -vn -0.3145 -0.9455 -0.0845 -vn 0.3970 -0.8657 -0.3049 -vn 0.8828 -0.3085 -0.3542 -vn 0.8829 0.4213 -0.2072 -vn -0.4148 0.8917 0.1810 -vn 0.3361 0.9409 0.0407 -vn -0.9213 0.3231 0.2161 -vn -0.8916 -0.4349 0.1263 -vn -0.3381 -0.9404 -0.0377 -vn 0.4138 -0.8925 -0.1792 -vn 0.9218 -0.3227 -0.2148 -vn 0.8910 0.4367 -0.1237 -vn -0.4231 0.8863 0.1882 -vn 0.3170 0.9473 0.0469 -vn -0.9183 0.3269 0.2231 -vn -0.8982 -0.4191 0.1330 -vn -0.3581 -0.9331 -0.0340 -vn 0.4024 -0.8973 -0.1814 -vn 0.9229 -0.3170 -0.2187 -vn 0.8824 0.4542 -0.1225 -vn -0.6687 -0.2990 0.6808 -vn -0.6658 -0.2993 0.6835 -vn -0.9871 -0.1598 0.0029 -vn -0.9873 -0.1590 -0.0001 -vn 0.0430 -0.2632 0.9638 -vn 0.0455 -0.2628 0.9638 -vn 0.7303 -0.0717 0.6794 -vn 0.7300 -0.0718 0.6797 -vn 0.9867 0.1626 -0.0054 -vn 0.9868 0.1618 -0.0024 -vn 0.6626 0.3015 -0.6856 -vn 0.6655 0.3012 -0.6829 -vn -0.0482 0.2644 -0.9632 -vn -0.0458 0.2648 -0.9632 -vn -0.7300 0.0739 -0.6794 -vn -0.7303 0.0738 -0.6791 -vn -0.6622 -0.2971 0.6879 -vn -0.9847 -0.1744 0.0034 -vn 0.0460 -0.2452 0.9684 -vn 0.7259 -0.0504 0.6860 -vn 0.9847 0.1742 0.0055 -vn 0.6699 0.2984 -0.6798 -vn -0.0395 0.2483 -0.9679 -vn -0.7271 0.0520 -0.6846 -vn -0.6592 -0.2922 0.6928 -vn -0.9759 -0.2181 -0.0027 -vn 0.0396 -0.1950 0.9800 -vn 0.7128 0.0148 0.7012 -vn 0.9761 0.2166 0.0192 -vn 0.6747 0.2943 -0.6769 -vn -0.0254 0.2000 -0.9795 -vn -0.7139 -0.0133 -0.7001 -vn -0.6640 -0.2874 0.6903 -vn -0.9650 -0.2618 -0.0145 -vn 0.0237 -0.1443 0.9892 -vn 0.6957 0.0827 0.7135 -vn 0.9647 0.2624 0.0243 -vn 0.6721 0.2903 -0.6811 -vn -0.0166 0.1483 -0.9888 -vn -0.6971 -0.0810 -0.7124 -vn -0.6781 -0.2822 0.6786 -vn -0.9705 -0.2401 -0.0235 -vn 0.0141 -0.1581 0.9873 -vn 0.7011 0.0613 0.7105 -vn 0.9695 0.2447 0.0090 -vn 0.6612 0.2828 -0.6948 -vn -0.0320 0.1560 -0.9872 -vn -0.7030 -0.0594 -0.7087 -vn -0.6878 -0.2743 0.6721 -vn -0.9906 -0.1364 -0.0089 -vn 0.0234 -0.2523 0.9674 -vn 0.7288 -0.0766 0.6805 -vn 0.9890 0.1464 -0.0221 -vn 0.6536 0.2798 -0.7033 -vn -0.0569 0.2494 -0.9667 -vn -0.7295 0.0783 -0.6795 -vn -0.6802 -0.2685 0.6821 -vn -0.9989 -0.0360 0.0301 -vn 0.0404 -0.3443 0.9380 -vn 0.7401 -0.2151 0.6372 -vn 0.9981 0.0433 -0.0444 -vn 0.6621 0.2757 -0.6969 -vn -0.0589 0.3455 -0.9366 -vn -0.7414 0.2165 -0.6352 -vn -0.6560 -0.2623 0.7077 -vn -0.9970 -0.0611 0.0473 -vn 0.0620 -0.3073 0.9496 -vn 0.7380 -0.1768 0.6512 -vn 0.9985 0.0538 -0.0140 -vn 0.6882 0.2569 -0.6786 -vn -0.0346 0.3118 -0.9495 -vn -0.7412 0.1795 -0.6468 -vn -0.6383 -0.2581 0.7252 -vn -0.9679 -0.2505 0.0225 -vn 0.0492 -0.1165 0.9920 -vn 0.7008 0.0882 0.7079 -vn 0.9688 0.2450 0.0370 -vn 0.7007 0.2677 -0.6613 -vn 0.0166 0.1352 -0.9907 -vn -0.6970 -0.0846 -0.7121 -vn -0.6564 -0.2615 0.7077 -vn -0.9017 -0.4323 -0.0027 -vn -0.0302 0.0609 0.9977 -vn 0.6050 0.3457 0.7172 -vn 0.8990 0.4365 0.0353 -vn 0.6821 0.2789 -0.6760 -vn 0.0558 -0.0469 -0.9973 -vn -0.6077 -0.3447 -0.7154 -vn -0.7276 -0.2018 0.6556 -vn -0.9466 -0.3195 -0.0435 -vn -0.0868 0.0358 0.9956 -vn 0.6227 0.2610 0.7377 -vn 0.9461 0.3237 0.0084 -vn 0.6709 0.1822 -0.7188 -vn 0.0025 -0.0610 -0.9981 -vn -0.6509 -0.2625 -0.7123 -vn -0.7589 -0.0047 0.6512 -vn -0.9928 0.1152 -0.0314 -vn -0.0922 -0.1249 0.9879 -vn 0.6635 -0.1728 0.7280 -vn 0.9941 -0.1057 -0.0242 -vn 0.6715 0.0287 -0.7405 -vn -0.0319 0.1409 -0.9895 -vn -0.6997 0.1740 -0.6929 -vn -0.6838 0.1740 0.7086 -vn -0.8527 0.5172 0.0736 -vn -0.1200 -0.2774 0.9532 -vn 0.5310 -0.5739 0.6234 -vn 0.8541 -0.5091 -0.1063 -vn 0.6366 -0.1235 -0.7613 -vn 0.0443 0.3233 -0.9453 -vn -0.5582 0.5777 -0.5956 -vn -0.6160 0.2086 0.7596 -vn -0.7500 0.6454 0.1448 -vn -0.1183 -0.3526 0.9283 -vn 0.4466 -0.7045 0.5516 -vn 0.7502 -0.6455 -0.1435 -vn 0.6183 -0.2097 -0.7575 -vn 0.1216 0.3515 -0.9282 -vn -0.4454 0.7045 -0.5525 -vn -0.6059 0.1889 0.7728 -vn -0.7545 0.6383 0.1526 -vn -0.0976 -0.3663 0.9253 -vn 0.4580 -0.7012 0.5463 -vn 0.7543 -0.6431 -0.1325 -vn 0.6311 -0.2242 -0.7426 -vn 0.1400 0.3332 -0.9324 -vn -0.4413 0.6986 -0.5632 -vn -0.0795 -0.7469 0.6602 -vn -0.0814 -0.7482 0.6585 -vn -0.3980 -0.9172 -0.0165 -vn -0.4007 -0.9158 -0.0269 -vn 0.2885 -0.1278 0.9489 -vn 0.2825 -0.1412 0.9488 -vn 0.4820 0.5629 0.6715 -vn 0.4805 0.5498 0.6833 -vn 0.3933 0.9194 0.0072 -vn 0.3958 0.9182 0.0172 -vn 0.0810 0.7503 -0.6561 -vn 0.0792 0.7491 -0.6577 -vn -0.2785 0.1551 -0.9478 -vn -0.2844 0.1421 -0.9481 -vn -0.4808 -0.5355 -0.6943 -vn -0.4824 -0.5489 -0.6826 -vn -0.1723 -0.7071 0.6858 -vn -0.4676 -0.8837 0.0207 -vn 0.2198 -0.1324 0.9665 -vn 0.4896 0.5249 0.6963 -vn 0.4721 0.8815 0.0091 -vn 0.1657 0.7044 -0.6902 -vn -0.2413 0.0975 -0.9655 -vn -0.5000 -0.5592 -0.6613 -vn -0.3623 -0.5794 0.7301 -vn -0.6150 -0.7863 0.0601 -vn 0.0916 -0.0497 0.9946 -vn 0.4983 0.5146 0.6978 -vn 0.6180 0.7860 -0.0161 -vn 0.3600 0.5798 -0.7310 -vn -0.1218 0.0144 -0.9925 -vn -0.5229 -0.5503 -0.6510 -vn -0.5349 -0.4187 0.7339 -vn -0.7474 -0.6618 0.0585 -vn -0.0221 0.0606 0.9979 -vn 0.5085 0.5107 0.6932 -vn 0.7461 0.6653 -0.0269 -vn 0.5308 0.4159 -0.7384 -vn -0.0096 -0.0868 -0.9962 -vn -0.5374 -0.5306 -0.6555 -vn -0.6208 -0.3206 0.7154 -vn -0.8328 -0.5530 0.0261 -vn -0.0467 0.1008 0.9938 -vn 0.5595 0.4666 0.6850 -vn 0.8320 0.5536 -0.0363 -vn 0.6052 0.3095 -0.7334 -vn 0.0230 -0.1141 -0.9932 -vn -0.5685 -0.4681 -0.6765 -vn -0.6498 -0.2901 0.7025 -vn -0.9044 -0.4267 0.0055 -vn -0.0113 0.0188 0.9998 -vn 0.6439 0.3218 0.6941 -vn 0.9031 0.4275 -0.0402 -vn 0.6133 0.2742 -0.7408 -vn -0.0291 -0.0357 -0.9989 -vn -0.6488 -0.3218 -0.6895 -vn -0.6573 -0.2434 0.7132 -vn -0.9588 -0.2834 0.0191 -vn 0.0298 -0.0603 0.9977 -vn 0.7032 0.1606 0.6926 -vn 0.9576 0.2866 -0.0290 -vn 0.6362 0.2409 -0.7329 -vn -0.0598 0.0538 -0.9968 -vn -0.7134 -0.1614 -0.6819 -vn -0.6223 -0.2307 0.7480 -vn -0.9381 -0.3435 0.0444 -vn 0.0508 0.0174 0.9986 -vn 0.6831 0.2525 0.6853 -vn 0.9373 0.3484 -0.0027 -vn 0.6710 0.2516 -0.6974 -vn 0.0056 0.0074 -1.0000 -vn -0.6762 -0.2436 -0.6952 -vn -0.5755 -0.2763 0.7697 -vn -0.7759 -0.6240 0.0932 -vn -0.0494 0.2189 0.9745 -vn 0.4931 0.5855 0.6435 -vn 0.7696 0.6378 -0.0312 -vn 0.6306 0.3449 -0.6953 -vn 0.1261 -0.1535 -0.9801 -vn -0.4778 -0.5753 -0.6639 -vn -0.5373 -0.3333 0.7747 -vn -0.5328 -0.8284 0.1726 -vn -0.2257 0.3465 0.9105 -vn 0.2067 0.8199 0.5339 -vn 0.5232 0.8416 -0.1340 -vn 0.5511 0.3940 -0.7356 -vn 0.2578 -0.2946 -0.9202 -vn -0.1981 -0.8156 -0.5437 -vn -0.5499 -0.3801 0.7437 -vn -0.4879 -0.8578 0.1614 -vn -0.2921 0.3260 0.8991 -vn 0.1421 0.8436 0.5178 -vn 0.4912 0.8526 -0.1786 -vn 0.5422 0.3466 -0.7654 -vn 0.2714 -0.3586 -0.8932 -vn -0.1518 -0.8482 -0.5075 -vn -0.6192 -0.3485 0.7036 -vn -0.6598 -0.7479 0.0734 -vn -0.2215 0.2595 0.9400 -vn 0.3203 0.7248 0.6100 -vn 0.6653 0.7388 -0.1075 -vn 0.5936 0.2962 -0.7483 -vn 0.1747 -0.3093 -0.9348 -vn -0.3361 -0.7313 -0.5935 -vn -0.6686 -0.2793 0.6892 -vn -0.8049 -0.5932 0.0158 -vn -0.1415 0.2008 0.9694 -vn 0.4759 0.5660 0.6732 -vn 0.8067 0.5901 -0.0326 -vn 0.6487 0.2583 -0.7159 -vn 0.1097 -0.2223 -0.9688 -vn -0.4859 -0.5695 -0.6629 -vn -0.6753 -0.2443 0.6959 -vn -0.8479 -0.5302 0.0068 -vn -0.1068 0.1854 0.9768 -vn 0.5234 0.5064 0.6853 -vn 0.8469 0.5318 -0.0065 -vn 0.6750 0.2467 -0.6953 -vn 0.1069 -0.1830 -0.9773 -vn -0.5239 -0.5048 -0.6861 -vn -0.6685 -0.2392 0.7042 -vn -0.8470 -0.5315 0.0125 -vn -0.0980 0.1926 0.9764 -vn 0.5245 0.5103 0.6816 -vn 0.8446 0.5354 -0.0024 -vn 0.6804 0.2535 -0.6876 -vn 0.1174 -0.1779 -0.9770 -vn -0.5194 -0.5060 -0.6886 -vn -0.0820 0.7388 0.6689 -vn -0.0834 0.7365 0.6712 -vn 0.2070 0.9783 0.0057 -vn 0.2074 0.9782 0.0046 -vn -0.3235 0.0669 0.9439 -vn -0.3243 0.0631 0.9439 -vn -0.3747 -0.6460 0.6651 -vn -0.3745 -0.6474 0.6638 -vn -0.2044 -0.9789 -0.0060 -vn -0.2047 -0.9788 -0.0049 -vn 0.0870 -0.7347 -0.6728 -vn 0.0857 -0.7370 -0.6704 -vn 0.3274 -0.0598 -0.9430 -vn 0.3266 -0.0636 -0.9430 -vn 0.3766 0.6484 -0.6616 -vn 0.3768 0.6469 -0.6629 -vn -0.0956 0.7353 0.6710 -vn 0.1858 0.9826 -0.0001 -vn -0.3192 0.0565 0.9460 -vn -0.3553 -0.6532 0.6687 -vn -0.1845 -0.9828 0.0040 -vn 0.0942 -0.7422 -0.6635 -vn 0.3194 -0.0676 -0.9452 -vn 0.3581 0.6487 -0.6715 -vn -0.1111 0.7343 0.6697 -vn 0.1330 0.9910 -0.0123 -vn -0.2882 0.0496 0.9563 -vn -0.2973 -0.6610 0.6890 -vn -0.1346 -0.9906 0.0253 -vn 0.1072 -0.7479 -0.6551 -vn 0.2882 -0.0654 -0.9553 -vn 0.2996 0.6592 -0.6897 -vn -0.1230 0.7386 0.6629 -vn 0.0812 0.9962 -0.0320 -vn -0.2535 0.0481 0.9661 -vn -0.2353 -0.6680 0.7060 -vn -0.0800 -0.9961 0.0369 -vn 0.1227 -0.7462 -0.6543 -vn 0.2551 -0.0596 -0.9651 -vn 0.2383 0.6642 -0.7086 -vn -0.1610 0.7521 0.6391 -vn 0.0707 0.9962 -0.0518 -vn -0.2968 0.0578 0.9532 -vn -0.2542 -0.6711 0.6965 -vn -0.0600 -0.9978 0.0270 -vn 0.1692 -0.7379 -0.6533 -vn 0.3005 -0.0545 -0.9522 -vn 0.2604 0.6586 -0.7060 -vn -0.2285 0.7713 0.5941 -vn 0.1336 0.9902 -0.0399 -vn -0.4599 0.0838 0.8840 -vn -0.4073 -0.6632 0.6279 -vn -0.1038 -0.9945 -0.0120 -vn 0.2553 -0.7322 -0.6314 -vn 0.4650 -0.0587 -0.8834 -vn 0.4154 0.6445 -0.6420 -vn -0.3050 0.7683 0.5628 -vn 0.1828 0.9831 0.0066 -vn -0.6115 0.0917 0.7859 -vn -0.5504 -0.6376 0.5390 -vn -0.1627 -0.9863 -0.0268 -vn 0.3202 -0.7536 -0.5741 -vn 0.6150 -0.0872 -0.7837 -vn 0.5589 0.6245 -0.5456 -vn -0.3331 0.7303 0.5965 -vn 0.0642 0.9979 -0.0100 -vn -0.5268 0.0547 0.8482 -vn -0.4308 -0.6401 0.6361 -vn -0.1007 -0.9917 0.0795 -vn 0.2946 -0.7928 -0.5335 -vn 0.5283 -0.1123 -0.8416 -vn 0.4345 0.6508 -0.6227 -vn -0.2376 0.7247 0.6468 -vn -0.2059 0.9756 -0.0757 -vn -0.1365 0.0835 0.9871 -vn 0.0362 -0.5951 0.8028 -vn 0.1908 -0.9618 0.1962 -vn 0.2452 -0.8126 -0.5288 -vn 0.1564 -0.1704 -0.9729 -vn -0.0397 0.6141 -0.7882 -vn -0.1469 0.7711 0.6195 -vn -0.4700 0.8795 -0.0752 -vn 0.2493 0.2256 0.9418 -vn 0.5039 -0.4332 0.7473 -vn 0.4878 -0.8603 0.1483 -vn 0.1968 -0.8132 -0.5477 -vn -0.2233 -0.2778 -0.9343 -vn -0.5099 0.4417 -0.7382 -vn -0.1610 0.8151 0.5566 -vn -0.5287 0.8417 -0.1097 -vn 0.3070 0.3054 0.9014 -vn 0.5928 -0.3902 0.7045 -vn 0.5205 -0.8501 0.0800 -vn 0.1353 -0.7960 -0.5900 -vn -0.3229 -0.2768 -0.9050 -vn -0.5916 0.3916 -0.7047 -vn -0.1658 0.8265 0.5380 -vn -0.3593 0.9154 -0.1817 -vn 0.1311 0.2487 0.9597 -vn 0.3540 -0.4993 0.7908 -vn 0.3521 -0.9284 0.1187 -vn 0.1367 -0.7817 -0.6085 -vn -0.1510 -0.1914 -0.9698 -vn -0.3516 0.4982 -0.7926 -vn -0.1541 0.8169 0.5559 -vn -0.1694 0.9674 -0.1882 -vn -0.0483 0.1826 0.9820 -vn 0.0878 -0.5673 0.8188 -vn 0.1718 -0.9725 0.1575 -vn 0.1521 -0.7907 -0.5931 -vn 0.0435 -0.1505 -0.9877 -vn -0.0882 0.5683 -0.8181 -vn -0.1494 0.8042 0.5753 -vn -0.1051 0.9800 -0.1691 -vn -0.1056 0.1568 0.9820 -vn 0.0006 -0.5811 0.8138 -vn 0.1071 -0.9795 0.1704 -vn 0.1517 -0.8049 -0.5737 -vn 0.1078 -0.1578 -0.9816 -vn 0.0014 0.5813 -0.8137 -vn -0.1494 0.7962 0.5862 -vn -0.1085 0.9811 -0.1600 -vn -0.1019 0.1478 0.9838 -vn 0.0046 -0.5810 0.8139 -vn 0.1090 -0.9777 0.1795 -vn 0.1519 -0.8126 -0.5627 -vn 0.1067 -0.1679 -0.9800 -vn -0.0017 0.5806 -0.8142 -vn -0.7659 0.0272 0.6424 -vn -0.7685 0.0308 0.6392 -vn -0.9276 0.3728 -0.0250 -vn -0.9259 0.3760 -0.0363 -vn -0.1421 -0.3365 0.9309 -vn -0.1597 -0.3291 0.9307 -vn 0.5606 -0.4964 0.6628 -vn 0.5445 -0.4956 0.6767 -vn 0.9300 -0.3672 0.0154 -vn 0.9286 -0.3701 0.0261 -vn 0.7719 -0.0314 -0.6350 -vn 0.7696 -0.0279 -0.6379 -vn 0.1777 0.3242 -0.9291 -vn 0.1608 0.3315 -0.9296 -vn -0.5268 0.4971 -0.6895 -vn -0.5435 0.4980 -0.6757 -vn -0.7219 0.1424 0.6772 -vn -0.8855 0.4638 0.0260 -vn -0.1549 -0.2590 0.9534 -vn 0.5097 -0.5169 0.6877 -vn 0.8832 -0.4690 0.0067 -vn 0.7163 -0.1305 -0.6854 -vn 0.1091 0.2870 -0.9517 -vn -0.5524 0.5279 -0.6452 -vn -0.5533 0.3789 0.7418 -vn -0.7378 0.6692 0.0884 -vn -0.0642 -0.1199 0.9907 -vn 0.4700 -0.5588 0.6833 -vn 0.7375 -0.6741 -0.0416 -vn 0.5459 -0.3664 -0.7535 -vn 0.0122 0.1705 -0.9853 -vn -0.5148 0.5920 -0.6201 -vn -0.3211 0.5722 0.7546 -vn -0.5352 0.8394 0.0944 -vn 0.0732 -0.0139 0.9972 -vn 0.4316 -0.6008 0.6729 -vn 0.5386 -0.8404 -0.0601 -vn 0.3143 -0.5630 -0.7643 -vn -0.1018 0.0614 -0.9929 -vn -0.4503 0.6380 -0.6246 -vn -0.2146 0.6292 0.7470 -vn -0.4386 0.8963 0.0652 -vn 0.1367 -0.0077 0.9906 -vn 0.4080 -0.6409 0.6502 -vn 0.4388 -0.8957 -0.0723 -vn 0.2139 -0.6257 -0.7501 -vn -0.1344 0.0084 -0.9909 -vn -0.4047 0.6387 -0.6544 -vn -0.2731 0.6127 0.7416 -vn -0.4287 0.9022 0.0477 -vn 0.0490 -0.0478 0.9977 -vn 0.3427 -0.6805 0.6477 -vn 0.4289 -0.8991 -0.0877 -vn 0.2642 -0.5899 -0.7630 -vn -0.0494 0.0541 -0.9973 -vn -0.3341 0.6669 -0.6661 -vn -0.3185 0.5808 0.7491 -vn -0.4081 0.9108 0.0621 -vn -0.0385 -0.0920 0.9950 -vn 0.2646 -0.7081 0.6547 -vn 0.4125 -0.9083 -0.0700 -vn 0.3188 -0.5734 -0.7547 -vn 0.0404 0.0975 -0.9944 -vn -0.2586 0.7088 -0.6564 -vn -0.2985 0.5459 0.7829 -vn -0.5233 0.8460 0.1026 -vn 0.0947 -0.0571 0.9939 -vn 0.4301 -0.6177 0.6584 -vn 0.5343 -0.8447 -0.0322 -vn 0.3441 -0.6053 -0.7177 -vn -0.0524 0.0022 -0.9986 -vn -0.4221 0.6237 -0.6579 -vn -0.2634 0.5556 0.7886 -vn -0.7568 0.6243 0.1934 -vn 0.3587 0.1777 0.9164 -vn 0.7808 -0.2884 0.5542 -vn 0.7920 -0.6023 -0.1001 -vn 0.3758 -0.5949 -0.7106 -vn -0.2770 -0.2388 -0.9307 -vn -0.7792 0.2899 -0.5557 -vn -0.2734 0.5817 0.7661 -vn -0.8763 0.3451 0.3361 -vn 0.4693 0.4751 0.7443 -vn 0.9421 0.1113 0.3164 -vn 0.9072 -0.3119 -0.2822 -vn 0.3673 -0.5695 -0.7354 -vn -0.4070 -0.4992 -0.7650 -vn -0.9426 -0.1146 -0.3135 -vn -0.3378 0.5880 0.7349 -vn -0.9017 0.2589 0.3463 -vn 0.4310 0.5749 0.6955 -vn 0.9457 0.2190 0.2404 -vn 0.8930 -0.2687 -0.3610 -vn 0.3030 -0.5943 -0.7450 -vn -0.4596 -0.5654 -0.6849 -vn -0.9484 -0.2132 -0.2345 -vn -0.3501 0.6240 0.6986 -vn -0.8856 0.4087 0.2206 -vn 0.4003 0.4812 0.7799 -vn 0.9227 0.0400 0.3835 -vn 0.8664 -0.4281 -0.2571 -vn 0.2804 -0.6247 -0.7288 -vn -0.4546 -0.4534 -0.7666 -vn -0.9261 -0.0306 -0.3761 -vn -0.3162 0.6615 0.6800 -vn -0.8186 0.5614 0.1214 -vn 0.3763 0.3757 0.8469 -vn 0.8497 -0.1368 0.5092 -vn 0.8120 -0.5673 -0.1374 -vn 0.2871 -0.6549 -0.6990 -vn -0.4013 -0.3567 -0.8437 -vn -0.8523 0.1434 -0.5030 -vn -0.2923 0.6726 0.6798 -vn -0.7859 0.6106 0.0976 -vn 0.3730 0.3406 0.8631 -vn 0.8196 -0.1900 0.5405 -vn 0.7873 -0.6087 -0.0982 -vn 0.2946 -0.6711 -0.6803 -vn -0.3709 -0.3396 -0.8644 -vn -0.8184 0.1914 -0.5419 -vn -0.2840 0.6700 0.6859 -vn -0.7850 0.6108 0.1036 -vn 0.3810 0.3360 0.8613 -vn 0.8219 -0.1896 0.5372 -vn 0.7906 -0.6050 -0.0949 -vn 0.3035 -0.6724 -0.6750 -vn -0.3640 -0.3464 -0.8646 -vn -0.8188 0.1876 -0.5426 -vn 0.7119 -0.1897 0.6762 -vn 0.7065 -0.1834 0.6836 -vn 0.8228 -0.5673 0.0336 -vn 0.8242 -0.5650 0.0384 -vn 0.1937 0.2962 0.9353 -vn 0.1759 0.3083 0.9349 -vn -0.4451 0.6154 0.6506 -vn -0.4592 0.6188 0.6374 -vn -0.8227 0.5678 -0.0276 -vn -0.8242 0.5654 -0.0327 -vn -0.7020 0.1748 -0.6904 -vn -0.7078 0.1815 -0.6827 -vn -0.1588 -0.3222 -0.9333 -vn -0.1769 -0.3100 -0.9341 -vn 0.4716 -0.6235 -0.6236 -vn 0.4580 -0.6205 -0.6365 -vn 0.7521 -0.0838 0.6537 -vn 0.8824 -0.4701 -0.0215 -vn 0.1629 0.3492 0.9228 -vn -0.5114 0.5673 0.6454 -vn -0.8872 0.4613 0.0084 -vn -0.7696 0.0993 -0.6308 -vn -0.2188 -0.3223 -0.9210 -vn 0.4683 -0.5647 -0.6796 -vn 0.8174 0.1492 0.5564 -vn 0.9688 -0.1981 -0.1487 -vn 0.1644 0.3965 0.9032 -vn -0.5664 0.4065 0.7169 -vn -0.9720 0.1909 0.1368 -vn -0.8469 -0.1286 -0.5159 -vn -0.2520 -0.3807 -0.8897 -vn 0.5044 -0.4183 -0.7554 -vn 0.8130 0.3842 0.4375 -vn 0.9552 0.0904 -0.2819 -vn 0.1749 0.4392 0.8812 -vn -0.5529 0.2361 0.7991 -vn -0.9584 -0.0969 0.2686 -vn -0.8316 -0.3758 -0.4089 -vn -0.2367 -0.4468 -0.8628 -vn 0.5066 -0.2586 -0.8225 -vn 0.7996 0.4809 0.3597 -vn 0.9313 0.1702 -0.3219 -vn 0.1955 0.5108 0.8372 -vn -0.5299 0.2340 0.8151 -vn -0.9351 -0.1825 0.3039 -vn -0.7839 -0.4887 -0.3830 -vn -0.1771 -0.5091 -0.8423 -vn 0.5288 -0.2368 -0.8150 -vn 0.8106 0.4559 0.3676 -vn 0.9645 0.0618 -0.2568 -vn 0.1838 0.5896 0.7865 -vn -0.5626 0.3704 0.7392 -vn -0.9680 -0.0777 0.2385 -vn -0.7827 -0.4751 -0.4021 -vn -0.1409 -0.5881 -0.7965 -vn 0.5741 -0.3654 -0.7328 -vn 0.8094 0.4418 0.3869 -vn 0.9829 -0.0372 -0.1804 -vn 0.1564 0.6640 0.7312 -vn -0.5937 0.4890 0.6390 -vn -0.9862 0.0207 0.1644 -vn -0.7923 -0.4572 -0.4040 -vn -0.1392 -0.6658 -0.7330 -vn 0.5904 -0.4920 -0.6398 -vn 0.7980 0.4646 0.3838 -vn 0.9865 -0.0469 -0.1569 -vn 0.1400 0.7018 0.6985 -vn -0.5985 0.5268 0.6036 -vn -0.9866 0.0443 0.1571 -vn -0.7997 -0.4643 -0.3805 -vn -0.1459 -0.7028 -0.6963 -vn 0.5942 -0.5306 -0.6044 -vn 0.7897 0.4941 0.3638 -vn 0.9811 -0.0043 -0.1937 -vn 0.1336 0.6978 0.7038 -vn -0.5962 0.4941 0.6328 -vn -0.9802 0.0060 0.1980 -vn -0.8001 -0.4864 -0.3510 -vn -0.1542 -0.6990 -0.6983 -vn 0.5869 -0.5013 -0.6358 -vn 0.7884 0.5172 0.3330 -vn 0.9714 0.0341 -0.2349 -vn 0.1412 0.6950 0.7050 -vn -0.5874 0.4642 0.6629 -vn -0.9714 -0.0374 0.2345 -vn -0.7897 -0.5174 -0.3297 -vn -0.1473 -0.6967 -0.7021 -vn 0.5827 -0.4690 -0.6637 -vn 0.7994 0.4925 0.3442 -vn 0.9789 0.0033 -0.2041 -vn 0.1571 0.6995 0.6971 -vn -0.5828 0.4963 0.6435 -vn -0.9787 -0.0053 0.2054 -vn -0.7872 -0.5040 -0.3555 -vn -0.1294 -0.7009 -0.7015 -vn 0.5986 -0.4881 -0.6352 -vn 0.8085 0.4232 0.4089 -vn 0.9896 -0.0918 -0.1106 -vn 0.1616 0.6981 0.6975 -vn -0.5874 0.5651 0.5794 -vn -0.9896 0.0906 0.1121 -vn -0.7928 -0.4392 -0.4227 -vn -0.1247 -0.7028 -0.7003 -vn 0.6086 -0.5550 -0.5670 -vn 0.8019 0.3584 0.4781 -vn 0.9825 -0.1854 -0.0158 -vn 0.1569 0.6978 0.6989 -vn -0.5858 0.6293 0.5107 -vn -0.9828 0.1840 0.0166 -vn -0.7902 -0.3721 -0.4870 -vn -0.1297 -0.7043 -0.6980 -vn 0.6010 -0.6235 -0.5001 -vn 0.7904 0.3386 0.5105 -vn 0.9746 -0.2228 0.0238 -vn 0.1427 0.7013 0.6985 -vn -0.5884 0.6525 0.4774 -vn -0.9749 0.2216 -0.0225 -vn -0.7912 -0.3394 -0.5088 -vn -0.1441 -0.7024 -0.6971 -vn 0.5876 -0.6541 -0.4764 -vn 0.7871 0.3436 0.5123 -vn 0.9750 -0.2213 0.0224 -vn 0.1346 0.7031 0.6983 -vn -0.5932 0.6495 0.4757 -vn -0.9753 0.2201 -0.0207 -vn -0.7949 -0.3366 -0.5048 -vn -0.1522 -0.7004 -0.6973 -vn 0.5832 -0.6550 -0.4805 -vn 0.1432 0.7524 0.6429 -vn 0.1397 0.7501 0.6465 -vn 0.5528 0.8333 0.0075 -vn 0.5540 0.8325 0.0041 -vn -0.3524 0.2304 0.9070 -vn -0.3547 0.2269 0.9070 -vn -0.6406 -0.4292 0.6367 -vn -0.6406 -0.4295 0.6366 -vn -0.5493 -0.8355 -0.0098 -vn -0.5507 -0.8347 -0.0063 -vn -0.1340 -0.7490 -0.6488 -vn -0.1375 -0.7514 -0.6453 -vn 0.3590 -0.2249 -0.9058 -vn 0.3568 -0.2283 -0.9059 -vn 0.6426 0.4283 -0.6353 -vn 0.6427 0.4281 -0.6354 -vn 0.1337 0.7471 0.6511 -vn 0.5329 0.8462 0.0029 -vn -0.3411 0.2114 0.9159 -vn -0.6162 -0.4454 0.6496 -vn -0.5344 -0.8452 0.0078 -vn -0.1411 -0.7553 -0.6400 -vn 0.3373 -0.2225 -0.9147 -vn 0.6183 0.4435 -0.6488 -vn 0.1616 0.7273 0.6670 -vn 0.5047 0.8633 0.0003 -vn -0.2716 0.1739 0.9466 -vn -0.5486 -0.4785 0.6856 -vn -0.5110 -0.8591 0.0296 -vn -0.1733 -0.7405 -0.6493 -vn 0.2714 -0.1789 -0.9457 -vn 0.5538 0.4910 -0.6725 -vn 0.1998 0.7085 0.6768 -vn 0.4827 0.8756 -0.0157 -vn -0.1974 0.1299 0.9717 -vn -0.4791 -0.5237 0.7045 -vn -0.4825 -0.8754 0.0290 -vn -0.2041 -0.7190 -0.6644 -vn 0.1954 -0.1404 -0.9706 -vn 0.4818 0.5237 -0.7026 -vn 0.0999 0.7677 0.6329 -vn 0.4105 0.9089 -0.0740 -vn -0.2734 0.1498 0.9502 -vn -0.4749 -0.5519 0.6854 -vn -0.3934 -0.9190 0.0253 -vn -0.0898 -0.7631 -0.6400 -vn 0.2633 -0.1837 -0.9471 -vn 0.4718 0.5034 -0.7238 -vn -0.1381 0.8492 0.5096 -vn 0.2949 0.9453 -0.1396 -vn -0.4879 0.2181 0.8452 -vn -0.5303 -0.5401 0.6535 -vn -0.2591 -0.9623 0.0823 -vn 0.1532 -0.8374 -0.5246 -vn 0.4801 -0.2528 -0.8400 -vn 0.5434 0.4769 -0.6908 -vn -0.3600 0.8681 0.3418 -vn 0.1828 0.9588 -0.2174 -vn -0.6810 0.2391 0.6922 -vn -0.5830 -0.5279 0.6176 -vn -0.1461 -0.9722 0.1830 -vn 0.3677 -0.8620 -0.3491 -vn 0.6758 -0.2728 -0.6847 -vn 0.6069 0.4748 -0.6374 -vn -0.4745 0.8478 0.2368 -vn 0.0893 0.9561 -0.2790 -vn -0.7546 0.2392 0.6110 -vn -0.5919 -0.5067 0.6269 -vn -0.0864 -0.9563 0.2792 -vn 0.4682 -0.8536 -0.2285 -vn 0.7540 -0.2570 -0.6046 -vn 0.6005 0.4944 -0.6285 -vn -0.4879 0.8431 0.2262 -vn 0.0426 0.9478 -0.3161 -vn -0.7315 0.2493 0.6346 -vn -0.5525 -0.4866 0.6768 -vn -0.0543 -0.9426 0.3294 -vn 0.4784 -0.8525 -0.2107 -vn 0.7328 -0.2585 -0.6295 -vn 0.5514 0.4919 -0.6737 -vn -0.5008 0.8398 0.2094 -vn 0.0076 0.9309 -0.3652 -vn -0.7098 0.2515 0.6579 -vn -0.5017 -0.4804 0.7194 -vn -0.0034 -0.9310 0.3649 -vn 0.4969 -0.8447 -0.1989 -vn 0.7117 -0.2693 -0.6488 -vn 0.5116 0.4673 -0.7210 -vn -0.5568 0.8180 0.1444 -vn -0.0345 0.9073 -0.4191 -vn -0.7453 0.2381 0.6227 -vn -0.4885 -0.4806 0.7283 -vn 0.0530 -0.9118 0.4071 -vn 0.5612 -0.8147 -0.1461 -vn 0.7479 -0.2510 -0.6145 -vn 0.5051 0.4598 -0.7304 -vn -0.6271 0.7763 0.0639 -vn -0.0693 0.8847 -0.4609 -vn -0.8090 0.2007 0.5525 -vn -0.5053 -0.4922 0.7088 -vn 0.0930 -0.8893 0.4477 -vn 0.6335 -0.7706 -0.0689 -vn 0.8116 -0.2121 -0.5444 -vn 0.5253 0.4706 -0.7090 -vn -0.6908 0.7229 -0.0173 -vn -0.1036 0.8580 -0.5030 -vn -0.8636 0.1540 0.4801 -vn -0.5208 -0.5033 0.6895 -vn 0.1244 -0.8604 0.4942 -vn 0.6943 -0.7195 0.0159 -vn 0.8666 -0.1667 -0.4703 -vn 0.5410 0.4849 -0.6872 -vn -0.7173 0.6946 -0.0547 -vn -0.1291 0.8441 -0.5204 -vn -0.8854 0.1393 0.4434 -vn -0.5349 -0.4975 0.6829 -vn 0.1296 -0.8426 0.5227 -vn 0.7183 -0.6934 0.0567 -vn 0.8865 -0.1375 -0.4419 -vn 0.5354 0.4996 -0.6810 -vn -0.7170 0.6952 -0.0521 -vn -0.1345 0.8457 -0.5165 -vn -0.8852 0.1443 0.4423 -vn -0.5406 -0.4917 0.6826 -vn 0.1229 -0.8423 0.5247 -vn 0.7167 -0.6952 0.0561 -vn 0.8851 -0.1342 -0.4457 -vn 0.5293 0.5051 -0.6817 -vn -0.3317 0.6972 0.6356 -vn -0.3271 0.7091 0.6246 -vn -0.0430 0.9988 -0.0249 -vn -0.0477 0.9987 -0.0161 -vn -0.4180 -0.0105 0.9084 -vn -0.4183 0.0032 0.9083 -vn -0.2631 -0.7056 0.6579 -vn -0.2633 -0.7035 0.6601 -vn 0.0417 -0.9985 0.0348 -vn 0.0463 -0.9986 0.0265 -vn 0.3255 -0.7206 -0.6121 -vn 0.3301 -0.7090 -0.6231 -vn 0.4217 -0.0173 -0.9066 -vn 0.4214 -0.0031 -0.9069 -vn 0.2671 0.7015 -0.6607 -vn 0.2667 0.7037 -0.6585 -vn -0.3027 0.7260 0.6175 -vn 0.0363 0.9993 0.0002 -vn -0.4680 0.0236 0.8834 -vn -0.3507 -0.7017 0.6202 -vn -0.0185 -0.9996 -0.0217 -vn 0.3228 -0.6930 -0.6447 -vn 0.4726 0.0156 -0.8812 -vn 0.3531 0.7075 -0.6123 -vn -0.2255 0.7193 0.6571 -vn 0.2314 0.9653 0.1211 -vn -0.5605 0.0566 0.8262 -vn -0.5639 -0.6570 0.5003 -vn -0.2114 -0.9666 -0.1447 -vn 0.2692 -0.6707 -0.6912 -vn 0.5793 0.0137 -0.8150 -vn 0.5588 0.6778 -0.4779 -vn -0.1644 0.6790 0.7155 -vn 0.4033 0.8768 0.2618 -vn -0.6457 0.0818 0.7592 -vn -0.7430 -0.5738 0.3445 -vn -0.3843 -0.8797 -0.2803 -vn 0.2033 -0.6528 -0.7297 -vn 0.6644 -0.0457 -0.7460 -vn 0.7418 0.5806 -0.3356 -vn -0.2542 0.7017 0.6656 -vn 0.3802 0.8943 0.2361 -vn -0.7266 0.0790 0.6825 -vn -0.7591 -0.5786 0.2984 -vn -0.3614 -0.8992 -0.2465 -vn 0.2353 -0.7206 -0.6522 -vn 0.7056 -0.1368 -0.6953 -vn 0.7757 0.5351 -0.3348 -vn -0.4373 0.7726 0.4603 -vn 0.1871 0.9823 0.0015 -vn -0.7765 0.0866 0.6242 -vn -0.6526 -0.6306 0.4201 -vn -0.1682 -0.9857 -0.0129 -vn 0.4060 -0.8030 -0.4363 -vn 0.7623 -0.1769 -0.6226 -vn 0.6880 0.5666 -0.4535 -vn -0.5997 0.7679 0.2251 -vn -0.0015 0.9682 -0.2500 -vn -0.8238 0.0970 0.5586 -vn -0.5571 -0.6183 0.5544 -vn 0.0204 -0.9714 0.2367 -vn 0.5841 -0.7841 -0.2098 -vn 0.8258 -0.1566 -0.5417 -vn 0.5936 0.5719 -0.5662 -vn -0.6602 0.7414 0.1206 -vn -0.0875 0.9330 -0.3490 -vn -0.8460 0.1165 0.5203 -vn -0.5371 -0.5765 0.6158 -vn 0.0848 -0.9321 0.3522 -vn 0.6577 -0.7444 -0.1157 -vn 0.8478 -0.1199 -0.5166 -vn 0.5387 0.5770 -0.6139 -vn -0.6445 0.7511 0.1430 -vn -0.0881 0.9351 -0.3432 -vn -0.8269 0.1330 0.5465 -vn -0.5297 -0.5629 0.6345 -vn 0.0786 -0.9324 0.3528 -vn 0.6436 -0.7529 -0.1375 -vn 0.8280 -0.1260 -0.5464 -vn 0.5223 0.5745 -0.6302 -vn -0.6321 0.7578 0.1615 -vn -0.0853 0.9339 -0.3473 -vn -0.8064 0.1381 0.5750 -vn -0.5093 -0.5605 0.6530 -vn 0.0844 -0.9323 0.3517 -vn 0.6300 -0.7612 -0.1540 -vn 0.8089 -0.1441 -0.5701 -vn 0.5130 0.5595 -0.6510 -vn -0.6248 0.7649 0.1570 -vn -0.0753 0.9365 -0.3424 -vn -0.8105 0.1456 0.5673 -vn -0.5182 -0.5615 0.6452 -vn 0.0823 -0.9363 0.3413 -vn 0.6335 -0.7563 -0.1631 -vn 0.8114 -0.1329 -0.5691 -vn 0.5173 0.5659 -0.6420 -vn -0.6105 0.7729 0.1726 -vn -0.0389 0.9547 -0.2952 -vn -0.8282 0.1391 0.5428 -vn -0.5566 -0.5803 0.5946 -vn 0.0479 -0.9550 0.2927 -vn 0.6227 -0.7611 -0.1815 -vn 0.8292 -0.1212 -0.5457 -vn 0.5543 0.5860 -0.5910 -vn -0.6000 0.7766 0.1923 -vn -0.0061 0.9696 -0.2447 -vn -0.8448 0.1289 0.5193 -vn -0.5917 -0.5969 0.5418 -vn 0.0130 -0.9697 0.2440 -vn 0.6094 -0.7681 -0.1968 -vn 0.8464 -0.1164 -0.5197 -vn 0.5908 0.6009 -0.5384 -vn -0.5995 0.7742 0.2030 -vn 0.0041 0.9748 -0.2230 -vn -0.8512 0.1202 0.5108 -vn -0.6039 -0.6039 0.5202 -vn -0.0026 -0.9742 0.2258 -vn 0.6009 -0.7739 -0.2001 -vn 0.8529 -0.1200 -0.5081 -vn 0.6057 0.6044 -0.5176 -vn -0.6021 0.7718 0.2047 -vn 0.0019 0.9748 -0.2229 -vn -0.8510 0.1167 0.5120 -vn -0.6026 -0.6047 0.5208 -vn -0.0037 -0.9738 0.2275 -vn 0.5986 -0.7762 -0.1978 -vn 0.8526 -0.1238 -0.5077 -vn 0.6059 0.6031 -0.5188 -vn 0.3704 -0.6813 0.6313 -vn 0.3708 -0.6804 0.6322 -vn 0.0697 -0.9976 0.0040 -vn 0.0698 -0.9976 0.0041 -vn 0.4541 0.0335 0.8903 -vn 0.4540 0.0353 0.8903 -vn 0.2710 0.7294 0.6281 -vn 0.2705 0.7303 0.6273 -vn -0.0720 0.9974 -0.0028 -vn -0.0720 0.9974 -0.0029 -vn -0.3734 0.6793 -0.6318 -vn -0.3731 0.6802 -0.6310 -vn -0.4561 -0.0373 -0.8891 -vn -0.4562 -0.0355 -0.8891 -vn -0.2723 -0.7314 -0.6253 -vn -0.2728 -0.7305 -0.6261 -vn 0.3780 -0.6786 0.6298 -vn 0.0791 -0.9969 -0.0008 -vn 0.4540 0.0379 0.8902 -vn 0.2634 0.7310 0.6294 -vn -0.0813 0.9967 0.0019 -vn -0.3793 0.6810 -0.6264 -vn -0.4566 -0.0330 -0.8891 -vn -0.2670 -0.7287 -0.6306 -vn 0.3778 -0.6809 0.6274 -vn 0.0805 -0.9968 -0.0013 -vn 0.4540 0.0331 0.8904 -vn 0.2637 0.7285 0.6322 -vn -0.0824 0.9966 0.0027 -vn -0.3806 0.6786 -0.6282 -vn -0.4557 -0.0377 -0.8893 -vn -0.2644 -0.7310 -0.6290 -vn 0.3771 -0.6791 0.6297 -vn 0.0790 -0.9969 -0.0007 -vn 0.4530 0.0371 0.8907 -vn 0.2626 0.7308 0.6300 -vn -0.0817 0.9967 0.0021 -vn -0.3789 0.6809 -0.6268 -vn -0.4556 -0.0335 -0.8895 -vn -0.2661 -0.7292 -0.6305 -vn 0.4322 -0.6639 0.6103 -vn 0.1504 -0.9879 -0.0385 -vn 0.4530 0.0533 0.8899 -vn 0.2091 0.7318 0.6487 -vn -0.1534 0.9874 0.0384 -vn -0.4292 0.6810 -0.5933 -vn -0.4607 -0.0185 -0.8874 -vn -0.2228 -0.7145 -0.6632 -vn 0.4910 -0.6533 0.5762 -vn 0.2475 -0.9652 -0.0840 -vn 0.4441 0.0412 0.8950 -vn 0.1387 0.7083 0.6922 -vn -0.2464 0.9649 0.0912 -vn -0.4905 0.6650 -0.5632 -vn -0.4505 -0.0247 -0.8924 -vn -0.1444 -0.7038 -0.6955 -vn 0.5415 -0.6343 0.5518 -vn 0.3301 -0.9351 -0.1288 -vn 0.4295 0.0419 0.9021 -vn 0.0654 0.6880 0.7228 -vn -0.3345 0.9332 0.1309 -vn -0.5440 0.6473 -0.5340 -vn -0.4425 -0.0140 -0.8967 -vn -0.0802 -0.6751 -0.7334 -vn 0.7063 -0.5272 0.4725 -vn 0.5132 -0.8224 -0.2455 -vn 0.4544 0.0931 0.8859 -vn -0.0610 0.6391 0.7667 -vn -0.5320 0.8164 0.2244 -vn -0.7124 0.5499 -0.4360 -vn -0.5036 -0.0226 -0.8637 -vn -0.0006 -0.5973 -0.8020 -vn 0.9169 -0.2332 0.3238 -vn 0.7489 -0.5030 -0.4314 -vn 0.4955 0.1763 0.8505 -vn -0.1970 0.4664 0.8623 -vn -0.7676 0.4962 0.4057 -vn -0.9283 0.2620 -0.2640 -vn -0.5917 -0.1159 -0.7978 -vn 0.0929 -0.4402 -0.8931 -vn 0.9757 0.1244 0.1802 -vn 0.8142 -0.0907 -0.5734 -vn 0.5251 0.2579 0.8110 -vn -0.2220 0.2375 0.9457 -vn -0.8289 0.0861 0.5527 -vn -0.9842 -0.1117 -0.1371 -vn -0.5995 -0.2512 -0.7599 -vn 0.1418 -0.2481 -0.9583 -vn 0.9715 0.2114 0.1074 -vn 0.8124 -0.0228 -0.5826 -vn 0.5766 0.3273 0.7486 -vn -0.1718 0.2480 0.9534 -vn -0.8184 0.0161 0.5744 -vn -0.9625 -0.2247 -0.1521 -vn -0.5306 -0.3307 -0.7805 -vn 0.2023 -0.2446 -0.9483 -vn 0.9838 0.0210 0.1778 -vn 0.8297 -0.3181 -0.4587 -vn 0.5918 0.3527 0.7248 -vn -0.1627 0.4850 0.8593 -vn -0.8353 0.3124 0.4524 -vn -0.9680 -0.0611 -0.2436 -vn -0.5086 -0.3864 -0.7694 -vn 0.2260 -0.4847 -0.8450 -vn 0.9454 -0.1336 0.2972 -vn 0.7684 -0.5754 -0.2802 -vn 0.5818 0.3916 0.7129 -vn -0.1360 0.6923 0.7086 -vn -0.7758 0.5704 0.2697 -vn -0.9383 0.0990 -0.3313 -vn -0.5393 -0.4249 -0.7271 -vn 0.1638 -0.6959 -0.6992 -vn 0.9220 -0.1559 0.3544 -vn 0.7349 -0.6475 -0.2019 -vn 0.5677 0.4275 0.7036 -vn -0.1191 0.7591 0.6400 -vn -0.7352 0.6466 0.2035 -vn -0.9230 0.1559 -0.3517 -vn -0.5700 -0.4276 -0.7016 -vn 0.1174 -0.7601 -0.6391 -vn 0.9209 -0.1433 0.3625 -vn 0.7386 -0.6433 -0.2015 -vn 0.5552 0.4371 0.7076 -vn -0.1284 0.7576 0.6400 -vn -0.7348 0.6450 0.2097 -vn -0.9255 0.1650 -0.3408 -vn -0.5819 -0.4162 -0.6987 -vn 0.1102 -0.7566 -0.6445 -vn -0.1603 0.8315 0.5318 -vn -0.1591 0.8316 0.5321 -vn 0.3427 0.9388 -0.0343 -vn 0.3504 0.9355 -0.0460 -vn -0.5730 0.2240 0.7883 -vn -0.5675 0.2382 0.7882 -vn -0.6398 -0.5133 0.5720 -vn -0.6431 -0.4965 0.5831 -vn -0.3328 -0.9426 0.0251 -vn -0.3401 -0.9397 0.0363 -vn 0.1607 -0.8325 -0.5303 -vn 0.1618 -0.8325 -0.5299 -vn 0.5644 -0.2525 -0.7859 -vn 0.5699 -0.2391 -0.7862 -vn 0.6484 0.4785 -0.5921 -vn 0.6454 0.4956 -0.5813 -vn -0.0679 0.7957 0.6018 -vn 0.3994 0.9162 0.0316 -vn -0.4967 0.2311 0.8366 -vn -0.6472 -0.4718 0.5988 -vn -0.4164 -0.9092 0.0041 -vn 0.0732 -0.7969 -0.5997 -vn 0.5174 -0.1942 -0.8334 -vn 0.6456 0.5169 -0.5621 -vn 0.1495 0.6623 0.7342 -vn 0.5487 0.8256 0.1317 -vn -0.3309 0.1356 0.9339 -vn -0.6313 -0.4733 0.6144 -vn -0.5684 -0.8196 -0.0718 -vn -0.1517 -0.6672 -0.7293 -vn 0.3631 -0.0925 -0.9271 -vn 0.6457 0.5267 -0.5529 -vn 0.3637 0.4752 0.8012 -vn 0.6989 0.6945 0.1710 -vn -0.1731 -0.0093 0.9849 -vn -0.6173 -0.4944 0.6120 -vn -0.7059 -0.6965 -0.1289 -vn -0.3635 -0.4751 -0.8013 -vn 0.2042 0.0382 -0.9782 -vn 0.6411 0.5212 -0.5632 -vn 0.4371 0.4074 0.8019 -vn 0.7753 0.6143 0.1471 -vn -0.1617 -0.0436 0.9859 -vn -0.6659 -0.4708 0.5787 -vn -0.7693 -0.6147 -0.1740 -vn -0.4188 -0.3967 -0.8168 -vn 0.1708 0.0469 -0.9842 -vn 0.6625 0.4630 -0.5889 -vn 0.3889 0.4884 0.7812 -vn 0.7993 0.5848 0.1380 -vn -0.2643 0.0927 0.9600 -vn -0.7552 -0.3618 0.5466 -vn -0.7827 -0.5922 -0.1915 -vn -0.3540 -0.4749 -0.8057 -vn 0.2708 -0.0910 -0.9583 -vn 0.7436 0.3425 -0.5742 -vn 0.3330 0.5594 0.7591 -vn 0.8158 0.5542 0.1650 -vn -0.3506 0.2321 0.9073 -vn -0.8257 -0.2365 0.5122 -vn -0.8048 -0.5628 -0.1887 -vn -0.3090 -0.5548 -0.7725 -vn 0.3612 -0.2270 -0.9044 -vn 0.8234 0.2284 -0.5195 -vn 0.3059 0.5560 0.7729 -vn 0.8003 0.5702 0.1856 -vn -0.3597 0.2189 0.9070 -vn -0.8164 -0.2414 0.5247 -vn -0.8091 -0.5662 -0.1574 -vn -0.3319 -0.5667 -0.7541 -vn 0.3473 -0.2322 -0.9085 -vn 0.8210 0.2427 -0.5167 -vn 0.3273 0.5058 0.7982 -vn 0.7395 0.6514 0.1699 -vn -0.2639 0.0741 0.9617 -vn -0.7040 -0.3967 0.5891 -vn -0.7528 -0.6485 -0.1127 -vn -0.3716 -0.5338 -0.7596 -vn 0.2405 -0.0979 -0.9657 -vn 0.7119 0.4040 -0.5744 -vn 0.3760 0.4699 0.7987 -vn 0.6746 0.7251 0.1385 -vn -0.1368 -0.0550 0.9891 -vn -0.5679 -0.5457 0.6162 -vn -0.6767 -0.7282 -0.1084 -vn -0.3936 -0.4905 -0.7775 -vn 0.1261 0.0403 -0.9912 -vn 0.5726 0.5483 -0.6095 -vn 0.3918 0.4990 0.7730 -vn 0.6869 0.7193 0.1041 -vn -0.1399 -0.0231 0.9899 -vn -0.5892 -0.5351 0.6053 -vn -0.6781 -0.7204 -0.1455 -vn -0.3624 -0.4769 -0.8008 -vn 0.1584 0.0367 -0.9867 -vn 0.5871 0.5255 -0.6157 -vn 0.3590 0.5499 0.7542 -vn 0.7685 0.6287 0.1190 -vn -0.2745 0.1391 0.9515 -vn -0.7449 -0.3647 0.5587 -vn -0.7487 -0.6387 -0.1776 -vn -0.3065 -0.5275 -0.7923 -vn 0.3024 -0.1192 -0.9457 -vn 0.7398 0.3518 -0.5735 -vn 0.3177 0.5951 0.7382 -vn 0.8266 0.5357 0.1724 -vn -0.3876 0.3005 0.8714 -vn -0.8613 -0.1798 0.4752 -vn -0.8091 -0.5497 -0.2077 -vn -0.2777 -0.5890 -0.7589 -vn 0.4065 -0.2893 -0.8666 -vn 0.8577 0.1709 -0.4849 -vn 0.2868 0.6120 0.7370 -vn 0.8354 0.5069 0.2124 -vn -0.4290 0.3580 0.8293 -vn -0.8930 -0.1055 0.4376 -vn -0.8352 -0.5084 -0.2098 -vn -0.2874 -0.6143 -0.7348 -vn 0.4291 -0.3603 -0.8283 -vn 0.8939 0.1040 -0.4360 -vn 0.2753 0.6096 0.7433 -vn 0.8294 0.5126 0.2221 -vn -0.4331 0.3518 0.8299 -vn -0.8904 -0.1063 0.4425 -vn -0.8396 -0.5056 -0.1987 -vn -0.2998 -0.6150 -0.7293 -vn 0.4224 -0.3615 -0.8312 -vn 0.8940 0.1090 -0.4345 -vn 0.1489 -0.9884 0.0285 -vn 0.1514 -0.9881 0.0286 -vn -0.5918 -0.8058 0.0203 -vn -0.5915 -0.8061 0.0201 -vn 0.8036 -0.5948 0.0223 -vn 0.8060 -0.5915 0.0223 -vn 0.9889 0.1485 0.0050 -vn 0.9884 0.1517 0.0050 -vn 0.5922 0.8057 -0.0132 -vn 0.5918 0.8060 -0.0131 -vn -0.1540 0.9878 -0.0216 -vn -0.1515 0.9882 -0.0215 -vn -0.8085 0.5883 -0.0152 -vn -0.8061 0.5916 -0.0152 -vn -0.9880 -0.1546 0.0021 -vn -0.9884 -0.1515 0.0021 -vn 0.1551 -0.9878 0.0106 -vn -0.5921 -0.8059 -0.0029 -vn 0.8093 -0.5871 0.0198 -vn 0.9875 0.1562 0.0196 -vn 0.5910 0.8066 0.0101 -vn -0.1481 0.9890 -0.0033 -vn -0.8027 0.5962 -0.0129 -vn -0.9890 -0.1475 -0.0127 -vn 0.1613 -0.9855 -0.0518 -vn -0.5912 -0.8026 -0.0793 -vn 0.8139 -0.5809 0.0082 -vn 0.9849 0.1605 0.0649 -vn 0.5869 0.8051 0.0856 -vn -0.1471 0.9874 0.0592 -vn -0.7991 0.6012 0.0003 -vn -0.9886 -0.1396 -0.0573 -vn 0.1618 -0.9799 -0.1167 -vn -0.5842 -0.7961 -0.1577 -vn 0.8108 -0.5853 -0.0048 -vn 0.9823 0.1507 0.1117 -vn 0.5822 0.7961 0.1651 -vn -0.1545 0.9801 0.1249 -vn -0.8038 0.5948 0.0139 -vn -0.9845 -0.1414 -0.1035 -vn 0.1470 -0.9862 -0.0761 -vn -0.5832 -0.8040 -0.1164 -vn 0.7961 -0.6051 0.0100 -vn 0.9868 0.1320 0.0938 -vn 0.5908 0.7971 0.1250 -vn -0.1634 0.9831 0.0828 -vn -0.8160 0.5780 -0.0068 -vn -0.9827 -0.1629 -0.0886 -vn 0.1366 -0.9889 0.0587 -vn -0.5915 -0.8054 0.0386 -vn 0.7913 -0.6096 0.0473 -vn 0.9913 0.1311 0.0101 -vn 0.5969 0.8017 -0.0317 -vn -0.1620 0.9854 -0.0523 -vn -0.8169 0.5754 -0.0393 -vn -0.9862 -0.1656 -0.0016 -vn 0.1434 -0.9711 0.1907 -vn -0.5875 -0.7862 0.1914 -vn 0.7955 -0.6004 0.0826 -vn 0.9895 0.1243 -0.0735 -vn 0.5953 0.7818 -0.1856 -vn -0.1593 0.9700 -0.1835 -vn -0.8143 0.5763 -0.0696 -vn -0.9848 -0.1517 0.0851 -vn 0.1615 -0.9438 0.2884 -vn -0.5782 -0.7693 0.2717 -vn 0.8061 -0.5747 0.1413 -vn 0.9882 0.1268 -0.0864 -vn 0.5950 0.7595 -0.2627 -vn -0.1519 0.9476 -0.2812 -vn -0.8098 0.5721 -0.1300 -vn -0.9847 -0.1430 0.0994 -vn 0.1698 -0.8907 0.4217 -vn -0.5641 -0.7629 0.3160 -vn 0.8040 -0.5180 0.2922 -vn 0.9892 0.1465 0.0002 -vn 0.6109 0.7353 -0.2933 -vn -0.1377 0.8988 -0.4161 -vn -0.8118 0.5112 -0.2823 -vn -0.9816 -0.1889 0.0267 -vn 0.1456 -0.8169 0.5581 -vn -0.5817 -0.7321 0.3545 -vn 0.7825 -0.4362 0.4442 -vn 0.9774 0.1972 0.0768 -vn 0.5991 0.7267 -0.3361 -vn -0.1381 0.8274 -0.5443 -vn -0.7909 0.4378 -0.4275 -vn -0.9758 -0.2116 -0.0555 -vn 0.1296 -0.9025 0.4107 -vn -0.6320 -0.7231 0.2786 -vn 0.8199 -0.4993 0.2803 -vn 0.9752 0.2193 -0.0298 -vn 0.5394 0.7882 -0.2964 -vn -0.1825 0.9060 -0.3820 -vn -0.7991 0.5414 -0.2616 -vn -0.9933 -0.1154 0.0017 -vn 0.0479 -0.9928 -0.1095 -vn -0.6705 -0.7310 0.1269 -vn 0.7665 -0.5786 -0.2786 -vn 0.9444 0.2111 -0.2520 -vn 0.5540 0.8291 -0.0757 -vn -0.1213 0.9830 0.1378 -vn -0.7284 0.6253 0.2799 -vn -0.9586 -0.0599 0.2785 -vn -0.1561 -0.8075 -0.5689 -vn -0.7176 -0.6962 -0.0191 -vn 0.5181 -0.3979 -0.7571 -vn 0.8533 0.2593 -0.4523 -vn 0.6589 0.7448 0.1051 -vn 0.1028 0.8055 0.5836 -vn -0.5008 0.4365 0.7474 -vn -0.8409 -0.1700 0.5139 -vn -0.2420 -0.6692 -0.7026 -vn -0.7289 -0.6754 -0.1121 -vn 0.3814 -0.2783 -0.8815 -vn 0.7893 0.2750 -0.5490 -vn 0.7326 0.6717 0.1107 -vn 0.2426 0.6709 0.7007 -vn -0.3838 0.2790 0.8803 -vn -0.7883 -0.2796 0.5481 -vn -0.2238 -0.6763 -0.7019 -vn -0.7139 -0.6869 -0.1359 -vn 0.3841 -0.2955 -0.8747 -vn 0.7859 0.2514 -0.5649 -vn 0.7449 0.6622 0.0807 -vn 0.2557 0.6758 0.6913 -vn -0.3931 0.2706 0.8788 -vn -0.7964 -0.3008 0.5246 -vn 0.2582 0.6546 0.7105 -vn 0.2590 0.6646 0.7009 -vn 0.2149 0.9766 0.0026 -vn 0.2168 0.9761 0.0163 -vn 0.1504 -0.0425 0.9877 -vn 0.1521 -0.0369 0.9877 -vn -0.0420 -0.7127 0.7002 -vn -0.0430 -0.7164 0.6964 -vn -0.2104 -0.9775 0.0107 -vn -0.2124 -0.9772 -0.0029 -vn -0.2572 -0.6752 -0.6913 -vn -0.2565 -0.6652 -0.7012 -vn -0.1511 0.0304 -0.9880 -vn -0.1494 0.0363 -0.9881 -vn 0.0467 0.7196 -0.6928 -vn 0.0457 0.7158 -0.6968 -vn 0.2307 0.6857 0.6904 -vn 0.2473 0.9687 -0.0204 -vn 0.0777 -0.0103 0.9969 -vn -0.1225 -0.7034 0.7001 -vn -0.2473 -0.9688 -0.0186 -vn -0.2230 -0.6589 -0.7185 -vn -0.0696 0.0256 -0.9972 -vn 0.1229 0.6920 -0.7113 -vn 0.1517 0.7222 0.6749 -vn 0.3419 0.9392 -0.0304 -vn -0.1343 0.0626 0.9890 -vn -0.3386 -0.6443 0.6857 -vn -0.3298 -0.9432 -0.0390 -vn -0.1260 -0.6788 -0.7235 -vn 0.1461 -0.0363 -0.9886 -vn 0.3367 0.6226 -0.7064 -vn 0.0652 0.7455 0.6633 -vn 0.4292 0.9032 0.0079 -vn -0.3415 0.1401 0.9294 -vn -0.5420 -0.5533 0.6326 -vn -0.4129 -0.9096 -0.0459 -vn -0.0404 -0.7233 -0.6893 -vn 0.3505 -0.1247 -0.9282 -vn 0.5425 0.5402 -0.6433 -vn 0.0591 0.7107 0.7010 -vn 0.4132 0.9090 0.0544 -vn -0.3222 0.1114 0.9401 -vn -0.5216 -0.5469 0.6549 -vn -0.4288 -0.9034 -0.0004 -vn -0.0839 -0.7410 -0.6662 -vn 0.3184 -0.1290 -0.9391 -vn 0.5269 0.5651 -0.6349 -vn 0.1874 0.6488 0.7375 -vn 0.3350 0.9407 0.0530 -vn -0.0615 0.0001 0.9981 -vn -0.2750 -0.6458 0.7122 -vn -0.3378 -0.9407 0.0317 -vn -0.2074 -0.7018 -0.6815 -vn 0.0542 -0.0274 -0.9982 -vn 0.2851 0.6724 -0.6831 -vn 0.3285 0.6148 0.7170 -vn 0.2557 0.9658 0.0435 -vn 0.2139 -0.0801 0.9736 -vn -0.0187 -0.7272 0.6862 -vn -0.2419 -0.9702 0.0105 -vn -0.3283 -0.6532 -0.6823 -vn -0.2182 0.0634 -0.9738 -vn 0.0279 0.7444 -0.6672 -vn 0.3799 0.6220 0.6846 -vn 0.2174 0.9758 0.0241 -vn 0.3198 -0.0964 0.9426 -vn 0.0732 -0.7579 0.6483 -vn -0.2160 -0.9760 -0.0268 -vn -0.3781 -0.6210 -0.6866 -vn -0.3181 0.0967 -0.9431 -vn -0.0719 0.7569 -0.6496 -vn 0.3771 0.6341 0.6751 -vn 0.2136 0.9769 0.0082 -vn 0.3175 -0.0905 0.9439 -vn 0.0668 -0.7624 0.6437 -vn -0.2224 -0.9741 -0.0421 -vn -0.3769 -0.6101 -0.6970 -vn -0.3123 0.1004 -0.9446 -vn -0.0705 0.7511 -0.6564 -vn -0.7490 0.0220 0.6622 -vn -0.7552 0.0160 0.6553 -vn -0.9273 -0.3737 0.0196 -vn -0.9277 -0.3725 0.0230 -vn -0.1294 0.4016 0.9066 -vn -0.1405 0.3973 0.9069 -vn 0.5605 0.5459 0.6228 -vn 0.5560 0.5462 0.6265 -vn 0.9260 0.3771 -0.0173 -vn 0.9264 0.3760 -0.0207 -vn 0.7604 -0.0080 -0.6494 -vn 0.7544 -0.0138 -0.6563 -vn 0.1508 -0.3906 -0.9081 -vn 0.1397 -0.3951 -0.9080 -vn -0.5523 -0.5443 -0.6315 -vn -0.5569 -0.5440 -0.6276 -vn -0.7745 0.0380 0.6314 -vn -0.9486 -0.3163 -0.0131 -vn -0.1501 0.3742 0.9151 -vn 0.5693 0.4926 0.6582 -vn 0.9490 0.3152 0.0027 -vn 0.7560 -0.0509 -0.6526 -vn 0.1176 -0.3826 -0.9164 -vn -0.5829 -0.4893 -0.6487 -vn -0.7947 0.1106 0.5969 -vn -0.9824 -0.1708 -0.0754 -vn -0.1463 0.3319 0.9319 -vn 0.5983 0.3592 0.7163 -vn 0.9838 0.1684 0.0619 -vn 0.7690 -0.1233 -0.6272 -vn 0.1014 -0.3375 -0.9359 -vn -0.6162 -0.3545 -0.7033 -vn -0.7967 0.1915 0.5732 -vn -0.9918 -0.0147 -0.1269 -vn -0.1381 0.2891 0.9473 -vn 0.6094 0.2164 0.7627 -vn 0.9931 0.0133 0.1164 -vn 0.7770 -0.1963 -0.5982 -vn 0.1035 -0.2874 -0.9522 -vn -0.6230 -0.2113 -0.7531 -vn -0.7850 0.2278 0.5761 -vn -0.9886 0.0531 -0.1410 -vn -0.1208 0.2696 0.9554 -vn 0.6136 0.1540 0.7745 -vn 0.9887 -0.0509 0.1408 -vn 0.7859 -0.2254 -0.5758 -vn 0.1223 -0.2674 -0.9558 -vn -0.6129 -0.1520 -0.7754 -vn -0.7791 0.2281 0.5839 -vn -0.9892 0.0515 -0.1372 -vn -0.1106 0.2699 0.9565 -vn 0.6178 0.1555 0.7708 -vn 0.9886 -0.0472 0.1429 -vn 0.7918 -0.2226 -0.5688 -vn 0.1326 -0.2687 -0.9541 -vn -0.6089 -0.1555 -0.7778 -vn -0.6908 0.1901 0.6976 -vn -0.6942 0.1924 0.6936 -vn -0.9056 0.4240 -0.0045 -vn -0.9058 0.4237 -0.0031 -vn -0.0697 -0.1541 0.9856 -vn -0.0756 -0.1513 0.9856 -vn 0.5900 -0.4064 0.6977 -vn 0.5875 -0.4057 0.7002 -vn 0.9066 -0.4220 0.0063 -vn 0.9067 -0.4217 0.0049 -vn 0.6985 -0.1925 -0.6892 -vn 0.6952 -0.1902 -0.6932 -vn 0.0826 0.1507 -0.9851 -vn 0.0767 0.1535 -0.9852 -vn -0.5839 0.4072 -0.7023 -vn -0.5864 0.4079 -0.6998 -vn -0.6895 0.2140 0.6919 -vn -0.8891 0.4577 -0.0000 -vn -0.0868 -0.1546 0.9842 -vn 0.5702 -0.4330 0.6981 -vn 0.8908 -0.4545 -0.0034 -vn 0.6816 -0.2050 -0.7024 -vn 0.0718 0.1652 -0.9836 -vn -0.5758 0.4378 -0.6905 -vn -0.6766 0.2572 0.6900 -vn -0.8281 0.5604 0.0151 -vn -0.1283 -0.1994 0.9715 -vn 0.5055 -0.5417 0.6716 -vn 0.8323 -0.5529 -0.0405 -vn 0.6539 -0.2298 -0.7209 -vn 0.0962 0.2236 -0.9699 -vn -0.5107 0.5459 -0.6643 -vn -0.6453 0.2805 0.7106 -vn -0.7551 0.6532 0.0554 -vn -0.1566 -0.2569 0.9537 -vn 0.4260 -0.6437 0.6357 -vn 0.7580 -0.6494 -0.0609 -vn 0.6389 -0.2663 -0.7218 -vn 0.1438 0.2727 -0.9513 -vn -0.4295 0.6493 -0.6277 -vn -0.5895 0.2873 0.7549 -vn -0.7949 0.6012 0.0814 -vn -0.0512 -0.1811 0.9821 -vn 0.5089 -0.5436 0.6675 -vn 0.7928 -0.6093 -0.0136 -vn 0.6339 -0.3300 -0.6994 -vn 0.0938 0.1563 -0.9832 -vn -0.5127 0.5535 -0.6563 -vn -0.5314 0.3643 0.7648 -vn -0.9077 0.4077 0.0990 -vn 0.1304 0.1196 0.9842 -vn 0.7156 -0.1862 0.6732 -vn 0.9197 -0.3926 0.0010 -vn 0.6181 -0.3849 -0.6854 -vn -0.0664 -0.1449 -0.9872 -vn -0.7285 0.1974 -0.6560 -vn -0.5195 0.4559 0.7227 -vn -0.9679 0.2013 0.1505 -vn 0.2138 0.4440 0.8702 -vn 0.8211 0.1892 0.5386 -vn 0.9814 -0.1697 -0.0899 -vn 0.5879 -0.4391 -0.6794 -vn -0.1679 -0.4535 -0.8753 -vn -0.8300 -0.1842 -0.5265 -vn -0.5630 0.4291 0.7063 -vn -0.9839 0.0896 0.1543 -vn 0.1995 0.5117 0.8357 -vn 0.8391 0.2868 0.4622 -vn 0.9772 -0.1059 -0.1840 -vn 0.5435 -0.4337 -0.7186 -vn -0.1981 -0.5102 -0.8369 -vn -0.8251 -0.2969 -0.4806 -vn -0.5805 0.3100 0.7529 -vn -0.9854 0.1058 0.1331 -vn 0.1860 0.3297 0.9256 -vn 0.8404 0.1449 0.5222 -vn 0.9731 -0.1248 -0.1935 -vn 0.5367 -0.3159 -0.7824 -vn -0.1962 -0.3264 -0.9246 -vn -0.8189 -0.1549 -0.5527 -vn -0.5766 0.1869 0.7953 -vn -0.9817 0.1275 0.1414 -vn 0.1774 0.1345 0.9749 -vn 0.8235 0.0022 0.5674 -vn 0.9761 -0.1299 -0.1743 -vn 0.5595 -0.1852 -0.8079 -vn -0.1740 -0.1339 -0.9756 -vn -0.8086 -0.0056 -0.5883 -vn -0.5728 0.1366 0.8082 -vn -0.9794 0.1235 0.1599 -vn 0.1686 0.0705 0.9832 -vn 0.8116 -0.0362 0.5832 -vn 0.9798 -0.1211 -0.1589 -vn 0.5737 -0.1344 -0.8080 -vn -0.1684 -0.0683 -0.9833 -vn -0.8119 0.0386 -0.5826 -vn -0.5675 0.1385 0.8116 -vn -0.9776 0.1245 0.1696 -vn 0.1679 0.0734 0.9831 -vn 0.8073 -0.0334 0.5891 -vn 0.9814 -0.1206 -0.1490 -vn 0.5787 -0.1366 -0.8040 -vn -0.1697 -0.0706 -0.9830 -vn -0.8165 0.0381 -0.5760 -vn -0.1341 0.6846 0.7165 -vn -0.1385 0.6958 0.7047 -vn -0.2937 0.9559 0.0004 -vn -0.2917 0.9563 0.0213 -vn 0.0984 0.0257 0.9948 -vn 0.0981 0.0290 0.9948 -vn 0.2754 -0.6458 0.7121 -vn 0.2776 -0.6542 0.7036 -vn 0.2972 -0.9546 0.0202 -vn 0.2954 -0.9554 -0.0005 -vn 0.1449 -0.7067 -0.6925 -vn 0.1403 -0.6953 -0.7049 -vn -0.0956 -0.0319 -0.9949 -vn -0.0960 -0.0284 -0.9950 -vn -0.2779 0.6634 -0.6947 -vn -0.2757 0.6548 -0.7037 -vn -0.2125 0.6930 0.6889 -vn -0.2738 0.9613 -0.0295 -vn -0.0201 -0.0005 0.9998 -vn 0.1856 -0.6958 0.6939 -vn 0.2769 -0.9604 -0.0300 -vn 0.2060 -0.6589 -0.7235 -vn 0.0204 0.0106 -0.9997 -vn -0.1756 0.6727 -0.7187 -vn -0.3693 0.6594 0.6548 -vn -0.2182 0.9754 -0.0298 -vn -0.2961 -0.0702 0.9526 -vn -0.0349 -0.7591 0.6500 -vn 0.2436 -0.9688 -0.0467 -vn 0.3739 -0.6096 -0.6990 -vn 0.2945 0.0834 -0.9520 -vn 0.0543 0.7291 -0.6823 -vn -0.5169 0.6224 0.5877 -vn -0.1715 0.9852 0.0038 -vn -0.5534 -0.1252 0.8234 -vn -0.2466 -0.7977 0.5504 -vn 0.2068 -0.9769 -0.0540 -vn 0.5308 -0.5823 -0.6158 -vn 0.5516 0.1351 -0.8231 -vn 0.2663 0.7757 -0.5722 -vn -0.5808 0.5915 0.5593 -vn -0.1736 0.9839 0.0420 -vn -0.6471 -0.1458 0.7483 -vn -0.3357 -0.7975 0.5013 -vn 0.1732 -0.9841 -0.0393 -vn 0.5813 -0.5928 -0.5574 -vn 0.6480 0.1456 -0.7476 -vn 0.3358 0.7984 -0.4998 -vn -0.5833 0.5800 0.5686 -vn -0.1859 0.9810 0.0553 -vn -0.6426 -0.1480 0.7517 -vn -0.3385 -0.7908 0.5100 -vn 0.1622 -0.9864 -0.0251 -vn 0.5741 -0.6053 -0.5514 -vn 0.6454 0.1421 -0.7505 -vn 0.3267 0.8046 -0.4959 -vn -0.7662 -0.2536 0.5904 -vn -0.9830 0.1834 0.0007 -vn -0.1004 -0.5415 0.8347 -vn 0.6243 -0.5115 0.5904 -vn 0.9834 -0.1813 0.0007 -vn 0.7666 0.2557 -0.5890 -vn 0.1008 0.5435 -0.8333 -vn -0.6239 0.5136 -0.5890 -vn -0.7662 -0.2537 0.5904 -vn -0.9831 0.1833 0.0007 -vn 0.6243 -0.5116 0.5904 -vn 0.9834 -0.1814 0.0006 -vn 0.7666 0.2556 -0.5891 -vn 0.1008 0.5435 -0.8334 -vn -0.6239 0.5135 -0.5891 -vn -0.7662 -0.2538 0.5904 -vn -0.9831 0.1833 0.0006 -vn -0.1004 -0.5416 0.8346 -vn 0.1008 0.5434 -0.8334 -vn 0.0472 0.6953 0.7171 -vn 0.0489 0.7067 0.7058 -vn 0.1001 0.9950 -0.0024 -vn 0.0994 0.9950 0.0135 -vn -0.0313 -0.0027 0.9995 -vn -0.0301 0.0043 0.9995 -vn -0.0909 -0.6956 0.7126 -vn -0.0906 -0.6999 0.7085 -vn -0.0982 -0.9950 0.0181 -vn -0.0975 -0.9952 0.0026 -vn -0.0480 -0.7184 -0.6940 -vn -0.0463 -0.7070 -0.7057 -vn 0.0316 -0.0119 -0.9994 -vn 0.0329 -0.0046 -0.9994 -vn 0.0932 0.7040 -0.7040 -vn 0.0934 0.6996 -0.7084 -vn 0.0186 0.7270 0.6864 -vn 0.1443 0.9893 -0.0201 -vn -0.1186 0.0262 0.9926 -vn -0.1837 -0.6954 0.6948 -vn -0.1361 -0.9904 -0.0236 -vn -0.0074 -0.6958 -0.7182 -vn 0.1250 -0.0065 -0.9921 -vn 0.1870 0.6828 -0.7063 -vn -0.0518 0.7468 0.6630 -vn 0.2449 0.9695 -0.0031 -vn -0.3227 0.0702 0.9439 -vn -0.3953 -0.6572 0.6418 -vn -0.2230 -0.9734 -0.0531 -vn 0.0786 -0.7071 -0.7027 -vn 0.3313 -0.0437 -0.9425 -vn 0.3990 0.6398 -0.6569 -vn -0.1225 0.7629 0.6348 -vn 0.3331 0.9417 0.0483 -vn -0.5114 0.1251 0.8502 -vn -0.5896 -0.5940 0.5473 -vn -0.3077 -0.9476 -0.0865 -vn 0.1523 -0.7355 -0.6601 -vn 0.5192 -0.1054 -0.8481 -vn 0.5929 0.5804 -0.5582 -vn -0.1645 0.7593 0.6296 -vn 0.3534 0.9310 0.0914 -vn -0.5849 0.1429 0.7985 -vn -0.6627 -0.5564 0.5013 -vn -0.3527 -0.9315 -0.0887 -vn 0.1650 -0.7610 -0.6274 -vn 0.5860 -0.1442 -0.7974 -vn 0.6639 0.5562 -0.4998 -vn -0.1726 0.7509 0.6375 -vn 0.3441 0.9334 0.1016 -vn -0.5840 0.1358 0.8003 -vn -0.6604 -0.5539 0.5070 -vn -0.3592 -0.9301 -0.0768 -vn 0.1545 -0.7685 -0.6209 -vn 0.5814 -0.1492 -0.7998 -vn 0.6607 0.5614 -0.4983 -vn 0.2195 -0.6725 0.7068 -vn 0.2243 -0.6785 0.6995 -vn 0.4794 -0.8776 0.0058 -vn 0.4786 -0.8780 0.0116 -vn -0.1672 -0.0741 0.9831 -vn -0.1630 -0.0819 0.9832 -vn -0.4555 0.5636 0.6891 -vn -0.4552 0.5620 0.6907 -vn -0.4822 0.8761 -0.0005 -vn -0.4814 0.8765 -0.0062 -vn -0.2309 0.6833 -0.6927 -vn -0.2262 0.6775 -0.6999 -vn 0.1568 0.0889 -0.9836 -vn 0.1611 0.0809 -0.9836 -vn 0.4528 -0.5614 -0.6927 -vn 0.4532 -0.5631 -0.6911 -vn 0.2185 -0.6926 0.6875 -vn 0.4350 -0.9004 -0.0102 -vn -0.1283 -0.0784 0.9886 -vn -0.4019 0.5868 0.7029 -vn -0.4350 0.9004 -0.0062 -vn -0.2087 0.6743 -0.7083 -vn 0.1371 0.0547 -0.9891 -vn 0.4009 -0.5923 -0.6989 -vn 0.2109 -0.7017 0.6805 -vn 0.3316 -0.9430 -0.0291 -vn -0.0363 -0.0437 0.9984 -vn -0.2646 0.6473 0.7149 -vn -0.3322 0.9432 -0.0035 -vn -0.2013 0.6727 -0.7120 -vn 0.0442 0.0152 -0.9989 -vn 0.2623 -0.6464 -0.7165 -vn 0.2008 -0.6995 0.6859 -vn 0.2224 -0.9747 -0.0218 -vn 0.0612 -0.0127 0.9980 -vn -0.1165 0.6870 0.7172 -vn -0.2254 0.9743 0.0037 -vn -0.1996 0.6777 -0.7077 -vn -0.0576 -0.0125 -0.9983 -vn 0.1159 -0.6909 -0.7136 -vn 0.1210 -0.6982 0.7056 -vn 0.1450 -0.9894 0.0076 -vn 0.0278 -0.0114 0.9995 -vn -0.0820 0.6843 0.7246 -vn -0.1462 0.9889 0.0258 -vn -0.1252 0.7076 -0.6955 -vn -0.0289 -0.0023 -0.9996 -vn 0.0839 -0.7078 -0.7014 -vn -0.0616 -0.7148 0.6966 -vn 0.0718 -0.9973 0.0143 -vn -0.1604 -0.0352 0.9864 -vn -0.1705 0.6669 0.7254 -vn -0.0833 0.9956 0.0438 -vn 0.0548 0.7338 -0.6772 -vn 0.1600 0.0149 -0.9870 -vn 0.1652 -0.7076 -0.6870 -vn -0.2413 -0.7257 0.6443 -vn -0.0002 -0.9999 -0.0171 -vn -0.3452 -0.0414 0.9376 -vn -0.2535 0.6701 0.6976 -vn -0.0135 0.9988 0.0481 -vn 0.2364 0.7344 -0.6362 -vn 0.3439 0.0258 -0.9387 -vn 0.2433 -0.6957 -0.6758 -vn -0.2151 -0.7310 0.6475 -vn 0.0404 -0.9984 -0.0399 -vn -0.3400 -0.0174 0.9403 -vn -0.2601 0.7004 0.6646 -vn -0.0305 0.9995 0.0042 -vn 0.2133 0.7279 -0.6517 -vn 0.3363 0.0478 -0.9405 -vn 0.2682 -0.6657 -0.6964 -vn 0.0209 -0.7079 0.7060 -vn 0.1856 -0.9825 -0.0146 -vn -0.1582 0.0109 0.9873 -vn -0.2384 0.7111 0.6614 -vn -0.1789 0.9830 -0.0420 -vn -0.0206 0.7011 -0.7128 -vn 0.1483 0.0319 -0.9884 -vn 0.2350 -0.6616 -0.7121 -vn 0.2544 -0.6435 0.7219 -vn 0.3271 -0.9450 0.0057 -vn 0.0254 0.0506 0.9984 -vn -0.2171 0.7078 0.6722 -vn -0.3296 0.9432 -0.0418 -vn -0.2541 0.6405 -0.7247 -vn -0.0364 -0.0223 -0.9991 -vn 0.2034 -0.6782 -0.7061 -vn 0.3399 -0.6093 0.7164 -vn 0.3836 -0.9232 0.0209 -vn 0.0971 0.0601 0.9935 -vn -0.2035 0.6952 0.6895 -vn -0.3853 0.9226 -0.0193 -vn -0.3415 0.6088 -0.7161 -vn -0.0984 -0.0618 -0.9932 -vn 0.2022 -0.6970 -0.6880 -vn 0.3359 -0.6101 0.7176 -vn 0.3822 -0.9235 0.0316 -vn 0.0976 0.0508 0.9939 -vn -0.1991 0.6864 0.6994 -vn -0.3822 0.9241 -0.0086 -vn -0.3387 0.6109 -0.7156 -vn -0.0924 -0.0694 -0.9933 -vn 0.2072 -0.7054 -0.6779 -vn 0.6533 -0.2407 0.7178 -vn 0.6647 -0.2464 0.7053 -vn 0.9215 -0.3884 -0.0029 -vn 0.9218 -0.3874 0.0157 -vn 0.0122 0.0423 0.9990 -vn 0.0182 0.0390 0.9991 -vn -0.6328 0.2994 0.7141 -vn -0.6382 0.3007 0.7087 -vn -0.9218 0.3870 0.0214 -vn -0.9224 0.3861 0.0032 -vn -0.6772 0.2498 -0.6921 -vn -0.6657 0.2441 -0.7051 -vn -0.0258 -0.0382 -0.9989 -vn -0.0193 -0.0416 -0.9989 -vn 0.6429 -0.3046 -0.7028 -vn 0.6372 -0.3032 -0.7085 -vn 0.6994 -0.2144 0.6819 -vn 0.9028 -0.4294 -0.0235 -vn 0.0715 0.1316 0.9887 -vn -0.6046 0.3985 0.6897 -vn -0.9072 0.4198 -0.0278 -vn -0.6701 0.1915 -0.7172 -vn -0.0550 -0.1436 -0.9881 -vn 0.5874 -0.3972 -0.7051 -vn 0.7511 -0.1322 0.6468 -vn 0.8543 -0.5197 -0.0026 -vn 0.1898 0.3440 0.9196 -vn -0.4968 0.6088 0.6185 -vn -0.8679 0.4929 -0.0619 -vn -0.7185 0.0882 -0.6899 -vn -0.1672 -0.3596 -0.9180 -vn 0.4729 -0.6072 -0.6385 -vn 0.7986 -0.0518 0.5996 -vn 0.8042 -0.5916 0.0578 -vn 0.3124 0.5282 0.7895 -vn -0.3702 0.7863 0.4947 -vn -0.8215 0.5614 -0.0996 -vn -0.7803 0.0089 -0.6254 -vn -0.2957 -0.5407 -0.7875 -vn 0.3511 -0.7860 -0.5088 -vn 0.8118 -0.0020 0.5840 -vn 0.7921 -0.6011 0.1061 -vn 0.3557 0.5969 0.7192 -vn -0.3074 0.8463 0.4351 -vn -0.7924 0.6012 -0.1032 -vn -0.8134 0.0025 -0.5817 -vn -0.3572 -0.5973 -0.7181 -vn 0.3073 -0.8472 -0.4335 -vn 0.8058 0.0100 0.5921 -vn 0.7985 -0.5905 0.1168 -vn 0.3487 0.5978 0.7219 -vn -0.3043 0.8437 0.4423 -vn -0.7875 0.6096 -0.0906 -vn -0.8174 0.0170 -0.5758 -vn -0.3604 -0.5915 -0.7213 -vn 0.3150 -0.8453 -0.4317 -vn -0.2443 -0.7050 0.6658 -vn -0.6128 -0.7903 0.0004 -vn 0.2668 -0.2064 0.9414 -vn 0.6211 0.4135 0.6658 -vn 0.6111 0.7916 0.0004 -vn 0.2426 0.7063 -0.6650 -vn -0.2685 0.2077 -0.9406 -vn -0.6228 -0.4122 -0.6650 -vn -0.2443 -0.7051 0.6657 -vn -0.6127 -0.7903 0.0004 -vn 0.2668 -0.2065 0.9414 -vn 0.6212 0.4134 0.6657 -vn 0.6111 0.7915 0.0004 -vn 0.2427 0.7063 -0.6650 -vn -0.2684 0.2077 -0.9406 -vn -0.2442 -0.7051 0.6657 -vn -0.6127 -0.7903 0.0003 -vn 0.2669 -0.2065 0.9413 -vn 0.6112 0.7915 0.0003 -vn -0.2684 0.2077 -0.9407 -vn -0.6227 -0.4122 -0.6650 -vn -0.2464 -0.7546 0.6082 -vn -0.7090 -0.7052 0.0005 -vn 0.3602 -0.3616 0.8600 -vn 0.7555 0.2436 0.6082 -vn 0.7078 0.7064 0.0005 -vn 0.2452 0.7558 -0.6072 -vn -0.3615 0.3628 -0.8589 -vn -0.7567 -0.2424 -0.6072 -vn 0.3603 -0.3616 0.8599 -vn 0.2452 0.7557 -0.6072 -vn -0.3614 0.3627 -0.8589 -vn -0.7566 -0.2424 -0.6072 -vn -0.2463 -0.7546 0.6082 -vn 0.7555 0.2435 0.6082 -vn 0.7079 0.7064 0.0005 -vn 0.2452 0.7557 -0.6073 -vn -0.3614 0.3627 -0.8590 -vn -0.7566 -0.2424 -0.6073 -vn 0.6708 -0.2933 0.6812 -vn 0.7804 -0.6253 0.0003 -vn 0.1678 0.2100 0.9632 -vn -0.4339 0.5897 0.6812 -vn -0.7819 0.6234 0.0003 -vn -0.6723 0.2914 -0.6805 -vn -0.1693 -0.2118 -0.9625 -vn 0.4324 -0.5916 -0.6805 -vn 0.1679 0.2100 0.9632 -vn -0.7818 0.6235 0.0003 -vn -0.6723 0.2915 -0.6805 -vn 0.4324 -0.5915 -0.6805 -vn 0.6709 -0.2932 0.6811 -vn 0.7805 -0.6252 0.0003 -vn 0.1679 0.2101 0.9632 -vn -0.4338 0.5898 0.6811 -vn -0.6722 0.2915 -0.6805 -vn -0.1692 -0.2117 -0.9626 -vn 0.4325 -0.5915 -0.6805 -vn 0.5063 0.4858 0.7125 -vn 0.5102 0.4911 0.7061 -vn 0.6603 0.7510 0.0018 -vn 0.6606 0.7507 0.0076 -vn 0.0568 -0.0626 0.9964 -vn 0.0616 -0.0572 0.9965 -vn -0.4230 -0.5726 0.7023 -vn -0.4223 -0.5722 0.7030 -vn -0.6582 -0.7529 0.0036 -vn -0.6584 -0.7527 -0.0020 -vn -0.5122 -0.4980 -0.6997 -vn -0.5084 -0.4928 -0.7062 -vn -0.0646 0.0500 -0.9967 -vn -0.0597 0.0555 -0.9967 -vn 0.4235 0.5700 -0.7040 -vn 0.4242 0.5705 -0.7033 -vn 0.5209 0.4936 0.6964 -vn 0.6910 0.7228 -0.0088 -vn 0.0446 -0.0276 0.9986 -vn -0.4603 -0.5361 0.7077 -vn -0.6895 -0.7243 -0.0072 -vn -0.5072 -0.4816 -0.7147 -vn -0.0286 0.0405 -0.9988 -vn 0.4641 0.5354 -0.7056 -vn 0.5475 0.4756 0.6885 -vn 0.7787 0.6272 -0.0138 -vn -0.0054 0.0443 0.9990 -vn -0.5627 -0.4206 0.7117 -vn -0.7766 -0.6298 -0.0134 -vn -0.5182 -0.4566 -0.7232 -vn 0.0399 -0.0193 -0.9990 -vn 0.5699 0.4238 -0.7040 -vn 0.5609 0.4448 0.6982 -vn 0.8557 0.5174 0.0014 -vn -0.0656 0.1099 0.9918 -vn -0.6562 -0.2933 0.6953 -vn -0.8531 -0.5214 -0.0179 -vn -0.5411 -0.4387 -0.7175 -vn 0.0862 -0.1000 -0.9912 -vn 0.6596 0.2931 -0.6921 -vn 0.5182 0.4615 0.7200 -vn 0.8277 0.5611 0.0125 -vn -0.0929 0.0891 0.9917 -vn -0.6417 -0.3302 0.6922 -vn -0.8269 -0.5624 0.0058 -vn -0.5460 -0.4789 -0.6874 -vn 0.0553 -0.1179 -0.9915 -vn 0.6328 0.3174 -0.7063 -vn 0.4512 0.5267 0.7204 -vn 0.6749 0.7379 0.0001 -vn -0.0337 0.0084 0.9994 -vn -0.4909 -0.5064 0.7089 -vn -0.6736 -0.7386 0.0279 -vn -0.4821 -0.5617 -0.6723 -vn -0.0098 -0.0594 -0.9982 -vn 0.4796 0.4896 -0.7282 -vn 0.3807 0.5879 0.7138 -vn 0.4858 0.8741 -0.0025 -vn 0.0517 -0.0422 0.9978 -vn -0.3024 -0.6398 0.7066 -vn -0.4839 -0.8749 0.0199 -vn -0.3927 -0.6177 -0.6814 -vn -0.0727 0.0002 -0.9974 -vn 0.2951 0.6268 -0.7211 -vn 0.3515 0.6219 0.6997 -vn 0.4030 0.9152 -0.0047 -vn 0.0942 -0.0368 0.9949 -vn -0.2178 -0.6738 0.7061 -vn -0.4013 -0.9159 0.0039 -vn -0.3491 -0.6217 -0.7012 -vn -0.0914 0.0375 -0.9951 -vn 0.2199 0.6735 -0.7057 -vn 0.3560 0.6301 0.6901 -vn 0.4063 0.9137 -0.0101 -vn 0.0987 -0.0234 0.9948 -vn -0.2184 -0.6686 0.7108 -vn -0.4048 -0.9144 -0.0011 -vn -0.3474 -0.6118 -0.7106 -vn -0.0845 0.0494 -0.9952 -vn 0.2256 0.6756 -0.7019 -vn -0.8175 -0.1529 0.5553 -vn -0.9322 0.3620 0.0008 -vn -0.2237 -0.5777 0.7850 -vn 0.5013 -0.6636 0.5553 -vn 0.9329 -0.3602 0.0008 -vn 0.8182 0.1547 -0.5538 -vn 0.2244 0.5795 -0.7835 -vn -0.5007 0.6653 -0.5538 -vn -0.5006 0.6653 -0.5538 -vn -0.8175 -0.1530 0.5553 -vn -0.9322 0.3619 0.0007 -vn 0.9329 -0.3602 0.0007 -vn 0.8181 0.1546 -0.5538 -vn 0.2244 0.5794 -0.7835 -vn -0.8175 -0.1530 0.5552 -vn -0.2237 -0.5778 0.7849 -vn 0.5013 -0.6637 0.5552 -vn 0.9328 -0.3603 0.0007 -vn 0.8181 0.1546 -0.5539 -vn 0.2243 0.5794 -0.7836 -vn -0.5007 0.6652 -0.5539 -vn -0.0634 -0.8167 0.5736 -vn -0.5708 -0.8211 0.0006 -vn 0.4807 -0.3336 0.8109 -vn 0.7429 0.3452 0.5736 -vn 0.5694 0.8220 0.0006 -vn 0.0620 0.8176 -0.5724 -vn -0.4821 0.3346 -0.8097 -vn -0.7442 -0.3442 -0.5724 -vn -0.0634 -0.8167 0.5735 -vn 0.4808 -0.3336 0.8109 -vn 0.7429 0.3451 0.5736 -vn 0.5695 0.8220 0.0006 -vn 0.0621 0.8176 -0.5724 -vn -0.4821 0.3345 -0.8097 -vn -0.0633 -0.8167 0.5735 -vn -0.5707 -0.8211 0.0005 -vn 0.4808 -0.3337 0.8108 -vn 0.7430 0.3451 0.5735 -vn 0.5695 0.8220 0.0005 -vn -0.4821 0.3345 -0.8098 -vn -0.7442 -0.3443 -0.5724 -vn 0.7488 -0.0860 0.6573 -vn 0.7525 -0.0900 0.6524 -vn 0.8945 -0.4470 -0.0096 -vn 0.8951 -0.4457 -0.0061 -vn 0.1634 0.3222 0.9325 -vn 0.1693 0.3192 0.9324 -vn -0.5147 0.5410 0.6652 -vn -0.5133 0.5407 0.6665 -vn -0.8948 0.4462 0.0141 -vn -0.8955 0.4449 0.0106 -vn -0.7573 0.0919 -0.6465 -vn -0.7536 0.0879 -0.6514 -vn -0.1763 -0.3183 -0.9315 -vn -0.1704 -0.3213 -0.9315 -vn 0.5108 -0.5426 -0.6669 -vn 0.5122 -0.5428 -0.6656 -vn 0.7525 -0.1048 0.6502 -vn 0.8774 -0.4797 -0.0001 -vn 0.1867 0.3328 0.9243 -vn -0.4932 0.5751 0.6527 -vn -0.8804 0.4741 -0.0088 -vn -0.7435 0.0910 -0.6626 -vn -0.1717 -0.3437 -0.9232 -vn 0.4961 -0.5778 -0.6481 -vn 0.7591 -0.1010 0.6431 -vn 0.8454 -0.5339 0.0192 -vn 0.2213 0.3953 0.8915 -vn -0.4523 0.6554 0.6049 -vn -0.8524 0.5211 -0.0429 -vn -0.7473 0.0804 -0.6596 -vn -0.2113 -0.4039 -0.8901 -vn 0.4434 -0.6561 -0.6107 -vn 0.7635 -0.0888 0.6397 -vn 0.8155 -0.5759 0.0573 -vn 0.2644 0.4526 0.8516 -vn -0.3952 0.7283 0.5598 -vn -0.8203 0.5681 -0.0666 -vn -0.7569 0.0711 -0.6497 -vn -0.2518 -0.4644 -0.8491 -vn 0.3965 -0.7301 -0.5565 -vn 0.6889 -0.1599 0.7070 -vn 0.7579 -0.6382 0.1350 -vn 0.2346 0.4064 0.8830 -vn -0.3572 0.7472 0.5604 -vn -0.7504 0.6539 -0.0965 -vn -0.6929 0.1598 -0.7031 -vn -0.2093 -0.4329 -0.8768 -vn 0.3941 -0.7580 -0.5198 -vn 0.4999 -0.3222 0.8039 -vn 0.6522 -0.7309 0.2011 -vn 0.0726 0.2619 0.9624 -vn -0.3989 0.7045 0.5870 -vn -0.6495 0.7485 -0.1336 -vn -0.5118 0.3382 -0.7897 -vn -0.0509 -0.2899 -0.9557 -vn 0.4348 -0.7304 -0.5268 -vn 0.2879 -0.4842 0.8262 -vn 0.5289 -0.8239 0.2034 -vn -0.1142 0.1247 0.9856 -vn -0.4557 0.6678 0.5885 -vn -0.5358 0.8288 -0.1611 -vn -0.2905 0.4870 -0.8237 -vn 0.1325 -0.1554 -0.9789 -vn 0.4698 -0.6965 -0.5424 -vn 0.2207 -0.5463 0.8080 -vn 0.4323 -0.8876 0.1591 -vn -0.1258 0.1229 0.9844 -vn -0.3991 0.7227 0.5643 -vn -0.4292 0.8814 -0.1974 -vn -0.2057 0.5154 -0.8319 -vn 0.1320 -0.1423 -0.9810 -vn 0.3934 -0.7173 -0.5751 -vn 0.3025 -0.5187 0.7996 -vn 0.3570 -0.9219 0.1506 -vn 0.0628 0.2069 0.9763 -vn -0.2181 0.8080 0.5473 -vn -0.3629 0.9077 -0.2108 -vn -0.2928 0.4731 -0.8309 -vn -0.0587 -0.2234 -0.9730 -vn 0.2065 -0.7930 -0.5731 -vn 0.3783 -0.4878 0.7867 -vn 0.2787 -0.9428 0.1827 -vn 0.2543 0.2625 0.9308 -vn -0.0257 0.8589 0.5114 -vn -0.2901 0.9320 -0.2172 -vn -0.3791 0.4508 -0.8081 -vn -0.2490 -0.2839 -0.9260 -vn 0.0204 -0.8542 -0.5196 -vn 0.3974 -0.4652 0.7910 -vn 0.2422 -0.9461 0.2150 -vn 0.3191 0.2877 0.9030 -vn 0.0538 0.8715 0.4875 -vn -0.2438 0.9462 -0.2129 -vn -0.3995 0.4663 -0.7893 -vn -0.3212 -0.2872 -0.9024 -vn -0.0555 -0.8720 -0.4864 -vn 0.3972 -0.4543 0.7974 -vn 0.2474 -0.9425 0.2247 -vn 0.3145 0.2934 0.9028 -vn 0.0516 0.8694 0.4913 -vn -0.2420 0.9490 -0.2022 -vn -0.3980 0.4775 -0.7833 -vn -0.3204 -0.2803 -0.9049 -vn -0.0514 -0.8730 -0.4849 -vn 0.6562 0.4151 0.6302 -vn 0.6655 0.4126 0.6220 -vn 0.9878 0.1540 -0.0223 -vn 0.9875 0.1565 -0.0174 -vn -0.0593 0.4271 0.9023 -vn -0.0472 0.4289 0.9021 -vn -0.7349 0.1916 0.6506 -vn -0.7317 0.1934 0.6537 -vn -0.9878 -0.1531 0.0278 -vn -0.9875 -0.1556 0.0231 -vn -0.6744 -0.4117 -0.6130 -vn -0.6653 -0.4142 -0.6212 -vn 0.0351 -0.4323 -0.9010 -vn 0.0474 -0.4305 -0.9013 -vn 0.7286 -0.1969 -0.6560 -vn 0.7319 -0.1951 -0.6529 -vn 0.6812 0.3829 0.6239 -vn 0.9962 0.0874 0.0034 -vn -0.0329 0.4581 0.8883 -vn -0.7350 0.2603 0.6261 -vn -0.9952 -0.0963 -0.0158 -vn -0.6550 -0.3936 -0.6450 -vn 0.0676 -0.4566 -0.8871 -vn 0.7444 -0.2569 -0.6164 -vn 0.6847 0.3200 0.6548 -vn 0.9947 -0.0598 0.0836 -vn -0.0259 0.5189 0.8544 -vn -0.7318 0.4093 0.5450 -vn -0.9938 0.0478 -0.1003 -vn -0.6497 -0.3407 -0.6796 -vn 0.0724 -0.5229 -0.8493 -vn 0.7441 -0.4045 -0.5316 -vn 0.6681 0.2638 0.6957 -vn 0.9639 -0.1992 0.1768 -vn -0.0191 0.5780 0.8158 -vn -0.7026 0.5507 0.4507 -vn -0.9636 0.1891 -0.1890 -vn -0.6426 -0.2851 -0.7112 -vn 0.0534 -0.5862 -0.8084 -vn 0.7117 -0.5477 -0.4399 -vn 0.6467 0.2521 0.7199 -vn 0.9423 -0.2498 0.2229 -vn -0.0285 0.6059 0.7950 -vn -0.6864 0.6043 0.4047 -vn -0.9428 0.2491 -0.2216 -vn -0.6482 -0.2525 -0.7184 -vn 0.0266 -0.6068 -0.7944 -vn 0.6855 -0.6055 -0.4042 -vn 0.6394 0.2595 0.7237 -vn 0.9430 -0.2449 0.2252 -vn -0.0390 0.6075 0.7933 -vn -0.6901 0.6008 0.4034 -vn -0.9439 0.2495 -0.2162 -vn -0.6559 -0.2468 -0.7133 -vn 0.0168 -0.6032 -0.7974 -vn 0.6836 -0.6046 -0.4089 -vn -0.3316 0.6199 0.7111 -vn -0.3339 0.6236 0.7068 -vn -0.5056 0.8627 0.0001 -vn -0.5054 0.8628 0.0064 -vn 0.0351 0.0174 0.9992 -vn 0.0340 0.0196 0.9992 -vn 0.3816 -0.5938 0.7083 -vn 0.3826 -0.5955 0.7064 -vn 0.5080 -0.8614 0.0060 -vn 0.5078 -0.8615 -0.0002 -vn 0.3385 -0.6261 -0.7025 -vn 0.3361 -0.6224 -0.7069 -vn -0.0306 -0.0205 -0.9993 -vn -0.0318 -0.0183 -0.9993 -vn -0.3814 0.5984 -0.7046 -vn -0.3804 0.5968 -0.7065 -vn -0.3503 0.6212 0.7010 -vn -0.4934 0.8698 -0.0091 -vn 0.0015 0.0046 1.0000 -vn 0.3535 -0.6153 0.7046 -vn 0.4956 -0.8685 -0.0084 -vn 0.3465 -0.6093 -0.7132 -vn -0.0023 0.0028 -1.0000 -vn -0.3483 0.6122 -0.7099 -vn -0.3924 0.6100 0.6884 -vn -0.4403 0.8977 -0.0162 -vn -0.1094 -0.0450 0.9930 -vn 0.2432 -0.6775 0.6942 -vn 0.4467 -0.8944 -0.0249 -vn 0.3838 -0.5790 -0.7193 -vn 0.1020 0.0652 -0.9927 -vn -0.2356 0.6699 -0.7041 -vn -0.4293 0.5828 0.6899 -vn -0.3851 0.9229 0.0041 -vn -0.2181 -0.1040 0.9704 -vn 0.1237 -0.7288 0.6735 -vn 0.3921 -0.9197 -0.0228 -vn 0.4292 -0.5672 -0.7029 -vn 0.2176 0.1129 -0.9695 -vn -0.1172 0.7254 -0.6783 -vn -0.4110 0.5572 0.7215 -vn -0.4469 0.8940 0.0310 -vn -0.1391 -0.0912 0.9861 -vn 0.2080 -0.6823 0.7009 -vn 0.4416 -0.8968 0.0262 -vn 0.4278 -0.6025 -0.6738 -vn 0.1602 0.0587 -0.9853 -vn -0.2090 0.6923 -0.6907 -vn -0.3393 0.5921 0.7309 -vn -0.5967 0.8015 0.0392 -vn 0.1040 0.0538 0.9931 -vn 0.4867 -0.5081 0.7106 -vn 0.6059 -0.7946 0.0397 -vn 0.3865 -0.6384 -0.6656 -vn -0.0706 -0.0943 -0.9930 -vn -0.4920 0.5216 -0.6971 -vn -0.2901 0.6487 0.7035 -vn -0.7252 0.6849 0.0704 -vn 0.3024 0.2417 0.9220 -vn 0.7216 -0.2952 0.6262 -vn 0.7425 -0.6697 -0.0181 -vn 0.3402 -0.6677 -0.6621 -vn -0.2740 -0.2677 -0.9237 -vn -0.7260 0.3035 -0.6171 -vn -0.3004 0.6776 0.6713 -vn -0.7782 0.6237 0.0739 -vn 0.3539 0.3334 0.8738 -vn 0.8000 -0.2048 0.5640 -vn 0.7785 -0.6230 -0.0766 -vn 0.2996 -0.6756 -0.6737 -vn -0.3542 -0.3314 -0.8745 -vn -0.7991 0.2054 -0.5650 -vn -0.3168 0.6811 0.6602 -vn -0.7820 0.6206 0.0580 -vn 0.3428 0.3382 0.8764 -vn 0.7990 -0.2105 0.5633 -vn 0.7710 -0.6304 -0.0905 -vn 0.2844 -0.6705 -0.6852 -vn -0.3598 -0.3210 -0.8761 -vn -0.7948 0.2073 -0.5704 -vn 0.7223 -0.0602 0.6890 -vn 0.9537 -0.3007 0.0003 -vn 0.0675 0.2149 0.9743 -vn -0.6270 0.3636 0.6890 -vn -0.9544 0.2987 0.0003 -vn -0.9544 0.2987 0.0002 -vn -0.7229 0.0582 -0.6885 -vn -0.0681 -0.2169 -0.9738 -vn 0.6263 -0.3656 -0.6885 -vn 0.9537 -0.3006 0.0002 -vn 0.0675 0.2150 0.9743 -vn -0.9543 0.2987 0.0002 -vn -0.7229 0.0583 -0.6885 -vn 0.6264 -0.3655 -0.6885 -vn 0.7223 -0.0601 0.6890 -vn 0.9538 -0.3006 0.0002 -vn -0.6269 0.3637 0.6890 -vn -0.9543 0.2988 0.0002 -vn -0.0681 -0.2168 -0.9738 -vn -0.5759 -0.4142 0.7048 -vn -0.7633 -0.6461 -0.0001 -vn -0.0516 0.0609 0.9968 -vn 0.5024 0.5008 0.7048 -vn 0.7617 0.6480 -0.0001 -vn 0.5743 0.4161 -0.7050 -vn 0.0500 -0.0590 -0.9970 -vn -0.5040 -0.4989 -0.7050 -vn -0.7632 -0.6461 -0.0001 -vn -0.0516 0.0608 0.9968 -vn 0.7617 0.6479 -0.0001 -vn 0.5743 0.4160 -0.7050 -vn 0.0501 -0.0590 -0.9970 -vn -0.5040 -0.4990 -0.7050 -vn -0.5758 -0.4143 0.7048 -vn -0.7632 -0.6462 -0.0001 -vn -0.0515 0.0608 0.9968 -vn 0.5025 0.5007 0.7048 -vn 0.5744 0.4160 -0.7050 -vn 0.0501 -0.0591 -0.9970 -vn -0.5039 -0.4990 -0.7050 -vn 0.5486 -0.5485 0.6310 -vn 0.5482 -0.5547 0.6259 -vn 0.3496 -0.9369 -0.0071 -vn 0.3529 -0.9357 -0.0004 -vn 0.4236 0.1558 0.8923 -vn 0.4249 0.1521 0.8924 -vn 0.0538 0.7682 0.6380 -vn 0.0523 0.7695 0.6365 -vn -0.3483 0.9373 0.0147 -vn -0.3515 0.9361 0.0081 -vn -0.5496 0.5603 -0.6197 -vn -0.5501 0.5540 -0.6249 -vn -0.4281 -0.1491 -0.8913 -vn -0.4268 -0.1528 -0.8913 -vn -0.0527 -0.7716 -0.6339 -vn -0.0542 -0.7702 -0.6355 -vn 0.5589 -0.5598 0.6117 -vn 0.3259 -0.9454 -0.0057 -vn 0.4622 0.1596 0.8723 -vn 0.0882 0.7855 0.6126 -vn -0.3377 0.9412 -0.0111 -vn -0.5629 0.5416 -0.6244 -vn -0.4606 -0.1706 -0.8711 -vn -0.0945 -0.7824 -0.6156 -vn 0.5444 -0.5715 0.6140 -vn 0.2345 -0.9706 0.0539 -vn 0.5413 0.1646 0.8246 -vn 0.2123 0.8124 0.5430 -vn -0.2491 0.9657 -0.0727 -vn -0.5560 0.5322 -0.6385 -vn -0.5325 -0.2069 -0.8208 -vn -0.2065 -0.8203 -0.5333 -vn 0.5285 -0.5664 0.6323 -vn 0.1398 -0.9820 0.1272 -vn 0.6093 0.1883 0.7702 -vn 0.3233 0.8338 0.4474 -vn -0.1553 0.9779 -0.1399 -vn -0.5396 0.5460 -0.6409 -vn -0.6091 -0.2026 -0.7668 -vn -0.3276 -0.8317 -0.4483 -vn 0.6621 -0.5152 0.5442 -vn 0.2564 -0.9663 0.0231 -vn 0.6482 0.2478 0.7200 -vn 0.2546 0.8432 0.4735 -vn -0.2718 0.9619 -0.0283 -vn -0.6508 0.5592 -0.5136 -vn -0.6749 -0.1598 -0.7204 -vn -0.3075 -0.8036 -0.5095 -vn 0.8755 -0.3613 0.3209 -vn 0.5470 -0.7825 -0.2976 -vn 0.6462 0.2666 0.7151 -vn 0.0600 0.7204 0.6910 -vn -0.5497 0.7807 0.2972 -vn -0.8679 0.4278 -0.2526 -vn -0.7216 -0.1616 -0.6732 -vn -0.1478 -0.6811 -0.7171 -vn 0.9873 -0.1213 0.1024 -vn 0.6952 -0.4330 -0.5737 -vn 0.6613 0.2610 0.7033 -vn -0.0395 0.4814 0.8756 -vn -0.7044 0.4324 0.5629 -vn -0.9874 0.1486 -0.0543 -vn -0.7262 -0.2225 -0.6505 -vn -0.0338 -0.4711 -0.8814 -vn 0.9997 -0.0215 -0.0117 -vn 0.7013 -0.3418 -0.6256 -vn 0.7165 0.3165 0.6217 -vn -0.0066 0.4658 0.8848 -vn -0.7233 0.3305 0.6063 -vn -0.9995 -0.0025 -0.0320 -vn -0.6886 -0.3318 -0.6447 -vn 0.0117 -0.4685 -0.8834 -vn 0.9959 -0.0883 0.0218 -vn 0.6880 -0.5385 -0.4864 -vn 0.7375 0.4211 0.5280 -vn 0.0217 0.6871 0.7263 -vn -0.7169 0.5190 0.4655 -vn -0.9963 0.0297 -0.0806 -vn -0.6836 -0.4637 -0.5636 -vn 0.0047 -0.6902 -0.7236 -vn 0.9893 -0.1209 0.0813 -vn 0.6624 -0.6854 -0.3023 -vn 0.7389 0.5243 0.4232 -vn 0.0368 0.8584 0.5116 -vn -0.6872 0.6669 0.2880 -vn -0.9914 0.0766 -0.1058 -vn -0.7138 -0.5504 -0.4331 -vn -0.0347 -0.8587 -0.5113 -vn 0.9901 -0.0994 0.0995 -vn 0.6653 -0.7105 -0.2294 -vn 0.7338 0.5697 0.3702 -vn 0.0489 0.9041 0.4245 -vn -0.6646 0.7105 0.2315 -vn -0.9902 0.1002 -0.0968 -vn -0.7349 -0.5695 -0.3682 -vn -0.0492 -0.9048 -0.4230 -vn 0.9907 -0.0857 0.1058 -vn 0.6732 -0.7034 -0.2279 -vn 0.7261 0.5760 0.3754 -vn 0.0476 0.9023 0.4284 -vn -0.6577 0.7147 0.2381 -vn -0.9894 0.1136 -0.0902 -vn -0.7421 -0.5603 -0.3678 -vn -0.0494 -0.9033 -0.4262 -vn -0.6795 0.1219 0.7235 -vn -0.6966 0.1239 0.7067 -vn -0.9899 0.1420 -0.0017 -vn -0.9897 0.1420 0.0165 -vn 0.0217 0.0311 0.9993 -vn 0.0062 0.0341 0.9994 -vn 0.7025 -0.0756 0.7077 -vn 0.7034 -0.0746 0.7069 -vn 0.9901 -0.1393 0.0190 -vn 0.9903 -0.1392 0.0017 -vn 0.7138 -0.1235 -0.6894 -vn 0.6971 -0.1215 -0.7066 -vn 0.0107 -0.0343 -0.9994 -vn -0.0057 -0.0313 -0.9995 -vn -0.7038 0.0767 -0.7062 -vn -0.7029 0.0777 -0.7070 -vn -0.7208 0.1252 0.6818 -vn -0.9709 0.2384 -0.0226 -vn -0.0384 -0.0624 0.9973 -vn 0.6783 -0.2131 0.7032 -vn 0.9725 -0.2311 -0.0279 -vn 0.6748 -0.1076 -0.7301 -vn -0.0059 0.0772 -0.9970 -vn -0.6750 0.2177 -0.7050 -vn -0.7286 0.1284 0.6728 -vn -0.8914 0.4530 0.0156 -vn -0.1300 -0.2806 0.9510 -vn 0.5654 -0.5227 0.6380 -vn 0.8991 -0.4301 -0.0813 -vn 0.6765 -0.0772 -0.7323 -vn 0.0737 0.3110 -0.9476 -vn -0.5614 0.5242 -0.6403 -vn -0.7239 0.1200 0.6794 -vn -0.7703 0.6262 0.1205 -vn -0.2485 -0.4685 0.8478 -vn 0.3882 -0.7771 0.4954 -vn 0.7829 -0.5999 -0.1648 -vn 0.6972 -0.0631 -0.7141 -vn 0.2112 0.4986 -0.8407 -vn -0.3862 0.7765 -0.4979 -vn -0.7138 0.0872 0.6949 -vn -0.7173 0.6690 0.1948 -vn -0.2908 -0.5451 0.7863 -vn 0.3007 -0.8568 0.4188 -vn 0.7178 -0.6692 -0.1923 -vn 0.7159 -0.0884 -0.6926 -vn 0.2931 0.5448 -0.7857 -vn -0.3001 0.8575 -0.4180 -vn -0.7070 0.0695 0.7038 -vn -0.7239 0.6586 0.2056 -vn -0.2780 -0.5517 0.7864 -vn 0.3043 -0.8534 0.4233 -vn 0.7161 -0.6749 -0.1780 -vn 0.7221 -0.1064 -0.6836 -vn 0.3015 0.5331 -0.7905 -vn -0.3036 0.8553 -0.4199 -vn 0.1105 -0.6985 0.7070 -vn 0.1083 -0.7137 0.6921 -vn 0.0075 -0.9999 -0.0118 -vn 0.0102 -0.9999 0.0036 -vn 0.1449 0.0064 0.9894 -vn 0.1445 -0.0083 0.9895 -vn 0.0963 0.7002 0.7075 -vn 0.0954 0.7003 0.7074 -vn -0.0074 0.9996 0.0270 -vn -0.0101 0.9999 0.0123 -vn -0.1084 0.7286 -0.6763 -vn -0.1106 0.7137 -0.6916 -vn -0.1468 0.0236 -0.9889 -vn -0.1471 0.0083 -0.9891 -vn -0.0973 -0.7005 -0.7070 -vn -0.0982 -0.7004 -0.7070 -vn 0.1029 -0.7346 0.6707 -vn -0.0836 -0.9964 -0.0142 -vn 0.2305 -0.0343 0.9725 -vn 0.2176 0.6967 0.6836 -vn 0.0701 0.9972 -0.0274 -vn -0.1188 0.6923 -0.7117 -vn -0.2371 -0.0079 -0.9715 -vn -0.2219 -0.6958 -0.6831 -vn 0.0926 -0.7402 0.6660 -vn -0.2806 -0.9585 0.0505 -vn 0.4198 -0.0799 0.9041 -vn 0.4922 0.6447 0.5849 -vn 0.2531 0.9619 -0.1033 -vn -0.1354 0.6874 -0.7136 -vn -0.4373 0.0245 -0.8990 -vn -0.4942 -0.6434 -0.5847 -vn 0.0931 -0.7318 0.6751 -vn -0.4444 -0.8806 0.1645 -vn 0.5860 -0.1485 0.7966 -vn 0.7267 0.5344 0.4316 -vn 0.4166 0.8868 -0.1999 -vn -0.1404 0.6988 -0.7014 -vn -0.6058 0.1098 -0.7880 -vn -0.7269 -0.5339 -0.4320 -vn 0.1181 -0.7153 0.6888 -vn -0.4872 -0.8410 0.2352 -vn 0.6534 -0.1694 0.7378 -vn 0.8053 0.4741 0.3560 -vn 0.4872 0.8417 -0.2328 -vn -0.1175 0.7174 -0.6866 -vn -0.6537 0.1717 -0.7370 -vn -0.8061 -0.4734 -0.3551 -vn 0.1330 -0.7061 0.6955 -vn -0.4764 -0.8448 0.2435 -vn 0.6571 -0.1568 0.7373 -vn 0.8020 0.4769 0.3598 -vn 0.4933 0.8414 -0.2208 -vn -0.1024 0.7262 -0.6798 -vn -0.6453 0.1815 -0.7421 -vn -0.8037 -0.4757 -0.3575 -vn -0.0269 0.8005 0.5987 -vn -0.0172 0.8082 0.5887 -vn 0.4117 0.9106 -0.0365 -vn 0.4093 0.9118 -0.0330 -vn -0.4434 0.2149 0.8702 -vn -0.4360 0.2311 0.8698 -vn -0.5982 -0.4888 0.6350 -vn -0.5980 -0.4814 0.6408 -vn -0.4119 -0.9103 0.0411 -vn -0.4095 -0.9115 0.0379 -vn 0.0097 -0.8163 -0.5776 -vn 0.0192 -0.8091 -0.5874 -vn 0.4303 -0.2483 -0.8678 -vn 0.4379 -0.2320 -0.8686 -vn 0.5999 0.4726 -0.6455 -vn 0.6001 0.4804 -0.6395 -vn 0.0402 0.7955 0.6046 -vn 0.4948 0.8689 0.0117 -vn -0.4424 0.2631 0.8573 -vn -0.6678 -0.4348 0.6041 -vn -0.4865 -0.8734 -0.0202 -vn -0.0084 -0.7770 -0.6295 -vn 0.4691 -0.2201 -0.8552 -vn 0.6710 0.4548 -0.5856 -vn 0.1356 0.7263 0.6739 -vn 0.6574 0.7402 0.1411 -vn -0.4709 0.2974 0.8305 -vn -0.8087 -0.3190 0.4943 -vn -0.6479 -0.7461 -0.1535 -vn -0.0854 -0.7075 -0.7015 -vn 0.5171 -0.2477 -0.8193 -vn 0.8141 0.3444 -0.4676 -vn 0.1959 0.6287 0.7526 -vn 0.7739 0.5689 0.2782 -vn -0.5019 0.3276 0.8005 -vn -0.9118 -0.1735 0.3721 -vn -0.7670 -0.5735 -0.2878 -vn -0.1531 -0.6215 -0.7683 -vn 0.5432 -0.2990 -0.7846 -vn 0.9172 0.1904 -0.3500 -vn 0.1931 0.5807 0.7909 -vn 0.8039 0.4889 0.3386 -vn -0.5316 0.3312 0.7795 -vn -0.9436 -0.1124 0.3114 -vn -0.8037 -0.4901 -0.3374 -vn -0.1941 -0.5825 -0.7893 -vn 0.5307 -0.3339 -0.7791 -vn 0.9439 0.1104 -0.3113 -vn 0.1793 0.5807 0.7941 -vn 0.8009 0.4931 0.3397 -vn -0.5437 0.3227 0.7748 -vn -0.9440 -0.1204 0.3071 -vn -0.8043 -0.4927 -0.3321 -vn -0.2061 -0.5859 -0.7837 -vn 0.5177 -0.3408 -0.7847 -vn 0.9413 0.1079 -0.3198 -vn -0.5615 -0.5596 0.6096 -vn -0.5643 -0.5592 0.6074 -vn -0.9494 -0.3141 -0.0069 -vn -0.9491 -0.3148 -0.0057 -vn 0.1547 -0.4751 0.8662 -vn 0.1513 -0.4763 0.8662 -vn 0.7788 -0.1130 0.6170 -vn 0.7780 -0.1138 0.6179 -vn 0.9490 0.3150 0.0092 -vn 0.9488 0.3157 0.0080 -vn 0.5665 0.5605 -0.6042 -vn 0.5637 0.5609 -0.6063 -vn -0.1484 0.4791 -0.8651 -vn -0.1518 0.4779 -0.8652 -vn -0.7777 0.1163 -0.6178 -vn -0.7786 0.1155 -0.6169 -vn -0.5704 -0.5515 0.6087 -vn -0.9551 -0.2962 0.0017 -vn 0.1487 -0.4846 0.8620 -vn 0.7822 -0.1318 0.6089 -vn 0.9540 0.2998 -0.0042 -vn 0.5621 0.5544 -0.6138 -vn -0.1588 0.4832 -0.8610 -vn -0.7851 0.1311 -0.6053 -vn -0.5764 -0.5350 0.6177 -vn -0.9664 -0.2558 0.0259 -vn 0.1518 -0.5023 0.8513 -vn 0.7933 -0.1726 0.5839 -vn 0.9650 0.2604 -0.0301 -vn 0.5649 0.5389 -0.6248 -vn -0.1652 0.5003 -0.8499 -vn -0.7966 0.1714 -0.5797 -vn -0.5786 -0.5188 0.6293 -vn -0.9751 -0.2155 0.0529 -vn 0.1572 -0.5194 0.8400 -vn 0.8026 -0.2136 0.5570 -vn 0.9741 0.2194 -0.0555 -vn 0.5699 0.5227 -0.6340 -vn -0.1676 0.5187 -0.8383 -vn -0.8054 0.2130 -0.5532 -vn -0.5752 -0.5107 0.6390 -vn -0.9774 -0.2005 0.0667 -vn 0.1632 -0.5214 0.8375 -vn 0.8060 -0.2269 0.5467 -vn 0.9775 0.2009 -0.0636 -vn 0.5766 0.5118 -0.6368 -vn -0.1629 0.5232 -0.8365 -vn -0.8070 0.2279 -0.5448 -vn -0.5731 -0.5050 0.6454 -vn -0.9752 -0.2124 0.0630 -vn 0.1622 -0.5016 0.8498 -vn 0.8021 -0.2063 0.5605 -vn 0.9763 0.2095 -0.0544 -vn 0.5810 0.5045 -0.6388 -vn -0.1572 0.5043 -0.8491 -vn -0.8038 0.2066 -0.5579 -vn -0.5776 -0.4967 0.6478 -vn -0.9738 -0.2207 0.0542 -vn 0.1560 -0.4816 0.8624 -vn 0.7982 -0.1846 0.5734 -vn 0.9739 0.2210 -0.0508 -vn 0.5791 0.4980 -0.6454 -vn -0.1560 0.4834 -0.8614 -vn -0.7995 0.1855 -0.5713 -vn -0.5829 -0.5034 0.6378 -vn -0.9769 -0.2071 0.0523 -vn 0.1569 -0.5034 0.8497 -vn 0.8047 -0.2039 0.5576 -vn 0.9742 0.2163 -0.0640 -vn 0.5708 0.5082 -0.6449 -vn -0.1628 0.5039 -0.8483 -vn -0.8012 0.2090 -0.5607 -vn -0.5806 -0.5284 0.6194 -vn -0.9808 -0.1834 0.0656 -vn 0.1655 -0.5623 0.8102 -vn 0.8145 -0.2603 0.5185 -vn 0.9773 0.1961 -0.0805 -vn 0.5648 0.5350 -0.6283 -vn -0.1728 0.5624 -0.8086 -vn -0.8097 0.2665 -0.5229 -vn -0.5758 -0.5534 0.6018 -vn -0.9830 -0.1633 0.0842 -vn 0.1730 -0.6181 0.7668 -vn 0.8203 -0.3154 0.4771 -vn 0.9802 0.1741 -0.0944 -vn 0.5637 0.5596 -0.6076 -vn -0.1788 0.6186 -0.7651 -vn -0.8167 0.3205 -0.4798 -vn -0.5686 -0.5657 0.5972 -vn -0.9824 -0.1596 0.0974 -vn 0.1780 -0.6400 0.7475 -vn 0.8202 -0.3392 0.4606 -vn 0.9824 0.1607 -0.0956 -vn 0.5690 0.5670 -0.5956 -vn -0.1779 0.6415 -0.7462 -vn -0.8205 0.3405 -0.4592 -vn -0.5651 -0.5668 0.5995 -vn -0.9815 -0.1628 0.1004 -vn 0.1796 -0.6388 0.7481 -vn 0.8191 -0.3394 0.4625 -vn 0.9831 0.1581 -0.0920 -vn 0.5726 0.5651 -0.5940 -vn -0.1761 0.6408 -0.7472 -vn -0.8216 0.3385 -0.4588 -vn -0.0308 0.7270 0.6860 -vn -0.0374 0.7365 0.6754 -vn -0.3417 0.9398 0.0019 -vn -0.3358 0.9417 0.0214 -vn 0.2888 0.1003 0.9521 -vn 0.2888 0.1026 0.9519 -vn 0.4457 -0.5816 0.6805 -vn 0.4467 -0.5907 0.6720 -vn 0.3494 -0.9368 0.0168 -vn 0.3438 -0.9390 -0.0025 -vn 0.0466 -0.7453 -0.6650 -vn 0.0397 -0.7357 -0.6761 -vn -0.2862 -0.1041 -0.9525 -vn -0.2863 -0.1017 -0.9527 -vn -0.4453 0.6010 -0.6637 -vn -0.4444 0.5916 -0.6727 -vn -0.1143 0.7271 0.6769 -vn -0.3345 0.9419 -0.0293 -vn 0.1799 0.0674 0.9814 -vn 0.3640 -0.6352 0.6812 -vn 0.3265 -0.9448 -0.0280 -vn 0.1008 -0.6979 -0.7091 -vn -0.1783 -0.0601 -0.9821 -vn -0.3569 0.6104 -0.7071 -vn -0.2779 0.6796 0.6789 -vn -0.2969 0.9540 -0.0409 -vn -0.0865 -0.0198 0.9961 -vn 0.1607 -0.7089 0.6867 -vn 0.3057 -0.9514 -0.0372 -vn 0.2705 -0.6363 -0.7225 -vn 0.0859 0.0287 -0.9959 -vn -0.1451 0.6770 -0.7215 -vn -0.4387 0.6253 0.6454 -vn -0.2608 0.9651 -0.0226 -vn -0.3520 -0.1006 0.9306 -vn -0.0466 -0.7657 0.6415 -vn 0.2836 -0.9584 -0.0326 -vn 0.4425 -0.5894 -0.6759 -vn 0.3505 0.1071 -0.9304 -vn 0.0641 0.7430 -0.6662 -vn -0.5057 0.5877 0.6315 -vn -0.2603 0.9655 0.0116 -vn -0.4544 -0.1326 0.8809 -vn -0.1376 -0.7750 0.6168 -vn 0.2610 -0.9653 -0.0087 -vn 0.5070 -0.5886 -0.6296 -vn 0.4558 0.1327 -0.8802 -vn 0.1384 0.7762 -0.6151 -vn -0.5047 0.5779 0.6414 -vn -0.2686 0.9629 0.0272 -vn -0.4493 -0.1332 0.8834 -vn -0.1395 -0.7677 0.6255 -vn 0.2535 -0.9673 0.0072 -vn 0.5028 -0.6003 -0.6220 -vn 0.4529 0.1298 -0.8821 -vn 0.1298 0.7822 -0.6093 -vn 0.4173 -0.5648 0.7120 -vn 0.4213 -0.5691 0.7061 -vn 0.6451 -0.7641 0.0004 -vn 0.6447 -0.7644 0.0093 -vn -0.0515 -0.0389 0.9979 -vn -0.0497 -0.0412 0.9979 -vn -0.4901 0.5080 0.7083 -vn -0.4920 0.5103 0.7054 -vn -0.6471 0.7624 0.0084 -vn -0.6467 0.7627 -0.0005 -vn -0.4270 0.5721 -0.7003 -vn -0.4229 0.5677 -0.7062 -vn 0.0463 0.0421 -0.9980 -vn 0.0480 0.0398 -0.9981 -vn 0.4922 -0.5141 -0.7024 -vn 0.4903 -0.5117 -0.7055 -vn 0.4454 -0.5599 0.6986 -vn 0.6323 -0.7746 -0.0121 -vn -0.0076 -0.0118 0.9999 -vn -0.4579 0.5447 0.7026 -vn -0.6337 0.7735 -0.0129 -vn -0.4364 0.5459 -0.7152 -vn 0.0111 0.0041 -0.9999 -vn 0.4510 -0.5394 -0.7110 -vn 0.4986 -0.5126 0.6991 -vn 0.6289 -0.7773 -0.0135 -vn 0.0686 0.0601 0.9958 -vn -0.4018 0.5949 0.6962 -vn -0.6323 0.7747 -0.0121 -vn -0.4947 0.5034 -0.7085 -vn -0.0742 -0.0560 -0.9957 -vn 0.3889 -0.5844 -0.7122 -vn 0.5565 -0.4696 0.6854 -vn 0.6286 -0.7777 -0.0126 -vn 0.1520 0.1197 0.9811 -vn -0.3449 0.6372 0.6892 -vn -0.6345 0.7729 -0.0108 -vn -0.5508 0.4546 -0.6999 -vn -0.1498 -0.1256 -0.9807 -vn 0.3354 -0.6329 -0.6978 -vn 0.5438 -0.4925 0.6796 -vn 0.5271 -0.8496 0.0206 -vn 0.2461 0.1544 0.9569 -vn -0.2070 0.7198 0.6626 -vn -0.5358 0.8432 -0.0436 -vn -0.5339 0.4496 -0.7161 -vn -0.2182 -0.2029 -0.9546 -vn 0.2163 -0.7316 -0.6466 -vn 0.4145 -0.5457 0.7283 -vn 0.2969 -0.9482 0.1133 -vn 0.2983 0.1711 0.9390 -vn 0.0026 0.8013 0.5982 -vn -0.3007 0.9463 -0.1192 -vn -0.4157 0.4980 -0.7610 -vn -0.2778 -0.2420 -0.9297 -vn 0.0155 -0.8269 -0.5621 -vn 0.2735 -0.5626 0.7801 -vn 0.0457 -0.9788 0.1997 -vn 0.3466 0.1837 0.9199 -vn 0.2130 0.8341 0.5088 -vn -0.0543 0.9738 -0.2207 -vn -0.2871 0.5156 -0.8073 -vn -0.3463 -0.2384 -0.9073 -vn -0.2077 -0.8468 -0.4897 -vn 0.3191 -0.5608 0.7640 -vn -0.0477 -0.9744 0.2196 -vn 0.4941 0.2027 0.8454 -vn 0.3642 0.8380 0.4063 -vn 0.0183 0.9636 -0.2666 -vn -0.3335 0.5354 -0.7760 -vn -0.4963 -0.1902 -0.8470 -vn -0.3815 -0.8112 -0.4432 -vn 0.5146 -0.5895 0.6227 -vn 0.0121 -0.9859 0.1669 -vn 0.6984 0.1804 0.6925 -vn 0.4481 0.8292 0.3341 -vn -0.0614 0.9751 -0.2132 -vn -0.5283 0.5683 -0.6308 -vn -0.7011 -0.1496 -0.6972 -vn -0.4863 -0.7884 -0.3768 -vn 0.6617 -0.6128 0.4320 -vn 0.0652 -0.9914 0.1132 -vn 0.8591 0.1466 0.4903 -vn 0.5260 0.8139 0.2467 -vn -0.1164 0.9832 -0.1407 -vn -0.6809 0.5851 -0.4404 -vn -0.8604 -0.1369 -0.4910 -vn -0.5595 -0.7848 -0.2666 -vn 0.7156 -0.6032 0.3523 -vn 0.0999 -0.9888 0.1108 -vn 0.9119 0.1336 0.3880 -vn 0.5760 0.7931 0.1979 -vn -0.0986 0.9892 -0.1083 -vn -0.7154 0.6043 -0.3506 -vn -0.9124 -0.1339 -0.3867 -vn -0.5754 -0.7941 -0.1958 -vn 0.7195 -0.5951 0.3581 -vn 0.1152 -0.9863 0.1183 -vn 0.9101 0.1312 0.3931 -vn 0.5847 0.7848 0.2056 -vn -0.0824 0.9914 -0.1020 -vn -0.7080 0.6125 -0.3515 -vn -0.9105 -0.1371 -0.3900 -vn -0.5639 -0.8030 -0.1928 -vn 0.6520 -0.2421 0.7185 -vn 0.6642 -0.2441 0.7066 -vn 0.9686 -0.2484 0.0039 -vn 0.9684 -0.2490 0.0140 -vn -0.0440 -0.0936 0.9946 -vn -0.0305 -0.0974 0.9948 -vn -0.7084 0.1067 0.6977 -vn -0.7065 0.1054 0.6998 -vn -0.9694 0.2453 0.0055 -vn -0.9693 0.2458 -0.0041 -vn -0.6768 0.2436 -0.6947 -vn -0.6649 0.2417 -0.7068 -vn 0.0157 0.0987 -0.9950 -vn 0.0297 0.0949 -0.9950 -vn 0.7038 -0.1068 -0.7023 -vn 0.7058 -0.1081 -0.7001 -vn 0.6748 -0.2661 0.6884 -vn 0.9448 -0.3274 -0.0148 -vn 0.0061 -0.0495 0.9988 -vn -0.6752 0.1985 0.7105 -vn -0.9455 0.3253 -0.0133 -vn -0.6430 0.2539 -0.7226 -vn 0.0310 0.0335 -0.9990 -vn 0.6797 -0.2043 -0.7044 -vn 0.6593 -0.3127 0.6838 -vn 0.8625 -0.5059 -0.0138 -vn 0.0677 0.0658 0.9955 -vn -0.5766 0.4106 0.7063 -vn -0.8652 0.5008 -0.0239 -vn -0.6225 0.2836 -0.7294 -vn -0.0216 -0.0954 -0.9952 -vn 0.5831 -0.4162 -0.6977 -vn 0.6267 -0.3485 0.6969 -vn 0.7467 -0.6648 0.0217 -vn 0.1386 0.1760 0.9746 -vn -0.4398 0.6011 0.6673 -vn -0.7511 0.6583 -0.0497 -vn -0.6059 0.3167 -0.7298 -vn -0.1083 -0.2051 -0.9727 -vn 0.4449 -0.6048 -0.6605 -vn 0.6033 -0.3456 0.7187 -vn 0.6920 -0.7197 0.0560 -vn 0.1602 0.2310 0.9597 -vn -0.3762 0.6711 0.6388 -vn -0.6932 0.7187 -0.0544 -vn -0.6057 0.3454 -0.7169 -vn -0.1628 -0.2314 -0.9591 -vn 0.3747 -0.6722 -0.6386 -vn 0.5981 -0.3351 0.7280 -vn 0.6955 -0.7157 0.0637 -vn 0.1500 0.2381 0.9596 -vn -0.3809 0.6690 0.6382 -vn -0.6945 0.7181 -0.0454 -vn -0.6117 0.3547 -0.7071 -vn -0.1702 -0.2208 -0.9603 -vn 0.3754 -0.6690 -0.6415 -vn 0.6656 0.2257 0.7113 -vn 0.6713 0.2269 0.7056 -vn 0.9635 0.2678 -0.0010 -vn 0.9633 0.2683 0.0077 -vn -0.0168 0.0518 0.9985 -vn -0.0138 0.0524 0.9985 -vn -0.6880 -0.1524 0.7096 -vn -0.6905 -0.1534 0.7068 -vn -0.9629 -0.2697 0.0097 -vn -0.9628 -0.2702 0.0011 -vn -0.6764 -0.2306 -0.6995 -vn -0.6707 -0.2294 -0.7054 -vn 0.0115 -0.0556 -0.9984 -vn 0.0145 -0.0549 -0.9984 -vn 0.6938 0.1520 -0.7039 -vn 0.6912 0.1509 -0.7067 -vn 0.6741 0.2499 0.6951 -vn 0.9684 0.2493 -0.0119 -vn -0.0224 0.1010 0.9946 -vn -0.7066 -0.1095 0.6991 -vn -0.9670 -0.2545 -0.0117 -vn -0.6572 -0.2499 -0.7111 -vn 0.0314 -0.1016 -0.9943 -vn 0.7001 0.1036 -0.7065 -vn 0.6798 0.2670 0.6830 -vn 0.9879 0.1551 0.0008 -vn -0.0321 0.2231 0.9743 -vn -0.7343 0.0423 0.6775 -vn -0.9856 -0.1653 -0.0358 -vn -0.6409 -0.2714 -0.7180 -vn 0.0699 -0.2192 -0.9732 -vn 0.7354 -0.0442 -0.6762 -vn 0.6702 0.2801 0.6873 -vn 0.9978 0.0562 0.0349 -vn -0.0594 0.3392 0.9388 -vn -0.7548 0.1928 0.6269 -vn -0.9961 -0.0686 -0.0563 -vn -0.6507 -0.2884 -0.7025 -vn 0.0715 -0.3407 -0.9375 -vn 0.7491 -0.1984 -0.6320 -vn 0.6192 0.4029 0.6740 -vn 0.9799 0.1996 -0.0024 -vn -0.1076 0.3556 0.9284 -vn -0.7547 0.1044 0.6477 -vn -0.9793 -0.2017 0.0150 -vn -0.6684 -0.3990 -0.6277 -vn 0.0256 -0.3754 -0.9265 -vn 0.7221 -0.1301 -0.6794 -vn 0.5206 0.5973 0.6101 -vn 0.8234 0.5522 -0.1308 -vn -0.0860 0.2791 0.9564 -vn -0.6266 -0.1870 0.7566 -vn -0.8230 -0.5475 0.1515 -vn -0.5776 -0.6154 -0.5362 -vn -0.0058 -0.3430 -0.9393 -vn 0.5911 0.1449 -0.7934 -vn 0.3638 0.7530 0.5483 -vn 0.5298 0.8178 -0.2248 -vn -0.0199 0.2340 0.9720 -vn -0.3836 -0.4054 0.8298 -vn -0.5314 -0.8143 0.2336 -vn -0.3884 -0.7792 -0.4919 -vn -0.0238 -0.3040 -0.9524 -vn 0.3628 0.3649 -0.8575 -vn 0.2845 0.8154 0.5041 -vn 0.3816 0.8902 -0.2490 -vn 0.0203 0.2616 0.9649 -vn -0.2560 -0.4461 0.8576 -vn -0.3809 -0.8905 0.2487 -vn -0.2825 -0.8150 -0.5060 -vn -0.0172 -0.2597 -0.9655 -vn 0.2577 0.4472 -0.8565 -vn 0.2937 0.8216 0.4886 -vn 0.3889 0.8865 -0.2507 -vn 0.0295 0.2838 0.9584 -vn -0.2549 -0.4314 0.8654 -vn -0.3854 -0.8895 0.2455 -vn -0.2802 -0.8047 -0.5234 -vn -0.0068 -0.2383 -0.9712 -vn 0.2674 0.4567 -0.8485 -vn 0.7046 0.5505 0.4478 -vn 1.0000 0.0039 0.0009 -vn -0.0036 0.7742 0.6329 -vn -0.7096 0.5440 0.4478 -vn -1.0000 -0.0054 0.0009 -vn -1.0000 -0.0054 0.0010 -vn -0.7045 -0.5521 -0.4459 -vn -0.7046 -0.5521 -0.4459 -vn 0.0036 -0.7758 -0.6310 -vn 0.7096 -0.5455 -0.4459 -vn 0.7045 0.5506 0.4477 -vn -0.0036 0.7743 0.6328 -vn -0.7096 0.5440 0.4477 -vn -0.7046 -0.5520 -0.4459 -vn 0.7097 -0.5455 -0.4459 -vn 1.0000 0.0040 0.0009 -vn -0.7096 0.5441 0.4477 -vn -1.0000 -0.0053 0.0009 -vn -0.7045 -0.5520 -0.4460 -vn 0.0036 -0.7757 -0.6311 -vn 0.7097 -0.5454 -0.4460 -vn 0.6776 -0.3348 0.6548 -vn 0.9951 -0.0988 -0.0004 -vn -0.0369 -0.3753 0.9262 -vn -0.7298 -0.1966 0.6548 -vn -0.7298 -0.1965 0.6548 -vn -0.9953 0.0967 -0.0004 -vn -0.6779 0.3327 -0.6556 -vn -0.6778 0.3327 -0.6556 -vn 0.0366 0.3732 -0.9270 -vn 0.7296 0.1944 -0.6556 -vn 0.6776 -0.3347 0.6548 -vn -0.0369 -0.3752 0.9262 -vn -0.9953 0.0968 -0.0004 -vn 0.0367 0.3732 -0.9270 -vn 0.7296 0.1945 -0.6556 -vn 0.9951 -0.0987 -0.0004 -vn -0.0368 -0.3752 0.9262 -vn -0.7298 -0.1964 0.6548 -vn -0.6778 0.3328 -0.6556 -vn 0.0367 0.3733 -0.9270 -vn 0.7296 0.1946 -0.6556 -vn -0.4385 0.5513 0.7098 -vn -0.4402 0.5534 0.7071 -vn -0.6222 0.7829 -0.0001 -vn -0.6222 0.7828 0.0040 -vn 0.0010 -0.0009 1.0000 -vn 0.0002 0.0002 1.0000 -vn 0.4402 -0.5516 0.7085 -vn 0.4411 -0.5526 0.7072 -vn 0.6241 -0.7813 0.0041 -vn 0.6242 -0.7813 0.0001 -vn 0.4438 -0.5540 -0.7043 -vn 0.4421 -0.5519 -0.7071 -vn 0.0026 0.0002 -1.0000 -vn 0.0017 0.0013 -1.0000 -vn -0.4400 0.5552 -0.7058 -vn -0.4391 0.5542 -0.7072 -vn -0.4511 0.5497 0.7031 -vn -0.6159 0.7878 -0.0057 -vn -0.0192 -0.0127 0.9997 -vn 0.4250 -0.5677 0.7050 -vn 0.6180 -0.7861 -0.0056 -vn 0.4484 -0.5421 -0.7106 -vn 0.0188 0.0173 -0.9997 -vn -0.4206 0.5664 -0.7087 -vn -0.4699 0.5424 0.6964 -vn -0.5834 0.8121 -0.0081 -vn -0.0777 -0.0491 0.9958 -vn 0.3636 -0.6139 0.7007 -vn 0.5869 -0.8095 -0.0138 -vn 0.4621 -0.5247 -0.7149 -vn 0.0705 0.0630 -0.9955 -vn -0.3596 0.6127 -0.7038 -vn -0.4834 0.5271 0.6989 -vn -0.5483 0.8363 0.0016 -vn -0.1323 -0.0939 0.9868 -vn 0.2982 -0.6593 0.6903 -vn 0.5522 -0.8336 -0.0136 -vn 0.4817 -0.5174 -0.7073 -vn 0.1314 0.0996 -0.9863 -vn -0.2934 0.6581 -0.6934 -vn -0.4962 0.4961 0.7125 -vn -0.5955 0.8033 0.0096 -vn -0.1053 -0.0979 0.9896 -vn 0.3427 -0.6289 0.6979 -vn 0.5962 -0.8028 0.0125 -vn 0.5115 -0.5186 -0.6851 -vn 0.1274 0.0737 -0.9891 -vn -0.3351 0.6278 -0.7026 -vn -0.5152 0.4570 0.7251 -vn -0.7474 0.6642 0.0109 -vn 0.0110 -0.0099 0.9999 -vn 0.5241 -0.4643 0.7140 -vn 0.7485 -0.6621 0.0365 -vn 0.5590 -0.4929 -0.6667 -vn 0.0417 -0.0337 -0.9986 -vn -0.5143 0.4588 -0.7245 -vn -0.5526 0.4331 0.7121 -vn -0.8683 0.4959 0.0075 -vn 0.0867 0.1162 0.9894 -vn 0.6677 -0.2618 0.6968 -vn 0.8713 -0.4905 0.0139 -vn 0.5803 -0.4412 -0.6845 -vn -0.0559 -0.1307 -0.9898 -vn -0.6616 0.2609 -0.7031 -vn -0.5776 0.4768 0.6626 -vn -0.8173 0.5751 -0.0363 -vn 0.0058 0.1008 0.9949 -vn 0.6022 -0.3440 0.7204 -vn 0.8192 -0.5733 -0.0141 -vn 0.5238 -0.4412 -0.7287 -vn -0.0687 -0.0509 -0.9963 -vn -0.6093 0.3602 -0.7064 -vn -0.4903 0.5737 0.6561 -vn -0.5226 0.8523 -0.0230 -vn -0.1768 -0.0408 0.9834 -vn 0.2637 -0.6580 0.7054 -vn 0.5349 -0.8434 -0.0494 -vn 0.4560 -0.4836 -0.7471 -vn 0.1176 0.1406 -0.9831 -vn -0.2766 0.6759 -0.6831 -vn -0.3727 0.6028 0.7055 -vn -0.1597 0.9820 0.1005 -vn -0.3761 -0.1368 0.9164 -vn -0.1493 -0.8111 0.5655 -vn 0.1761 -0.9733 -0.1471 -vn 0.3868 -0.5270 -0.7567 -vn 0.3626 0.2155 -0.9067 -vn 0.1379 0.8228 -0.5514 -vn -0.3409 0.5665 0.7503 -vn -0.0220 0.9816 0.1895 -vn -0.4593 -0.1834 0.8692 -vn -0.3084 -0.8218 0.4790 -vn 0.0218 -0.9820 -0.1876 -vn 0.3416 -0.5693 -0.7479 -vn 0.4607 0.1805 -0.8690 -vn 0.3090 0.8214 -0.4794 -vn -0.3500 0.5441 0.7625 -vn -0.0329 0.9791 0.2008 -vn -0.4545 -0.2053 0.8668 -vn -0.2987 -0.8256 0.4788 -vn 0.0224 -0.9848 -0.1725 -vn 0.3353 -0.5906 -0.7340 -vn 0.4586 0.1570 -0.8746 -vn 0.3068 0.8180 -0.4866 -vn 0.6400 0.3330 0.6925 -vn 0.6462 0.3334 0.6865 -vn 0.9646 0.2636 -0.0061 -vn 0.9643 0.2648 -0.0008 -vn -0.0572 0.2054 0.9770 -vn -0.0507 0.2071 0.9770 -vn -0.7181 -0.0413 0.6947 -vn -0.7175 -0.0412 0.6953 -vn -0.9643 -0.2647 0.0120 -vn -0.9640 -0.2660 0.0067 -vn -0.6518 -0.3360 -0.6799 -vn -0.6456 -0.3357 -0.6859 -vn 0.0448 -0.2112 -0.9764 -vn 0.0514 -0.2095 -0.9765 -vn 0.7176 0.0386 -0.6954 -vn 0.7182 0.0387 -0.6948 -vn 0.6563 0.3283 0.6793 -vn 0.9744 0.2249 -0.0046 -vn -0.0491 0.2388 0.9698 -vn -0.7286 0.0058 0.6849 -vn -0.9728 -0.2313 -0.0095 -vn -0.6381 -0.3309 -0.6952 -vn 0.0681 -0.2371 -0.9691 -vn 0.7310 -0.0080 -0.6823 -vn 0.6696 0.3035 0.6779 -vn 0.9943 0.1036 0.0263 -vn -0.0507 0.3284 0.9432 -vn -0.7509 0.1543 0.6421 -vn -0.9918 -0.1158 -0.0545 -vn -0.6304 -0.3136 -0.7101 -vn 0.0931 -0.3259 -0.9408 -vn 0.7566 -0.1539 -0.6355 -vn 0.6615 0.2813 0.6952 -vn 0.9966 -0.0168 0.0805 -vn -0.0656 0.4159 0.9070 -vn -0.7569 0.3023 0.5794 -vn -0.9955 0.0073 -0.0945 -vn -0.6412 -0.2918 -0.7097 -vn 0.0867 -0.4185 -0.9041 -vn 0.7588 -0.3040 -0.5760 -vn 0.6282 0.3159 0.7111 -vn 0.9956 0.0534 0.0769 -vn -0.1017 0.3863 0.9168 -vn -0.7631 0.2362 0.6016 -vn -0.9979 -0.0451 -0.0464 -vn -0.6737 -0.3042 -0.6735 -vn 0.0484 -0.3920 -0.9187 -vn 0.7531 -0.2453 -0.6105 -vn 0.6083 0.3769 0.6985 -vn 0.9541 0.2995 0.0012 -vn -0.0836 0.2313 0.9693 -vn -0.7169 -0.0411 0.6959 -vn -0.9558 -0.2906 0.0435 -vn -0.6680 -0.3822 -0.6386 -vn 0.0127 -0.2555 -0.9667 -vn 0.7041 0.0309 -0.7095 -vn 0.5908 0.4367 0.6783 -vn 0.8463 0.5303 -0.0509 -vn -0.0074 0.0888 0.9960 -vn -0.5926 -0.3044 0.7457 -vn -0.8456 -0.5274 0.0819 -vn -0.6250 -0.4563 -0.6334 -vn -0.0369 -0.1182 -0.9923 -vn 0.5831 0.2974 -0.7560 -vn 0.5921 0.4719 0.6532 -vn 0.7859 0.6140 -0.0733 -vn 0.0504 0.0521 0.9974 -vn -0.5199 -0.3980 0.7559 -vn -0.7849 -0.6154 0.0722 -vn -0.5896 -0.4728 -0.6549 -vn -0.0476 -0.0526 -0.9975 -vn 0.5212 0.3970 -0.7555 -vn 0.6019 0.4776 0.6400 -vn 0.7884 0.6097 -0.0820 -vn 0.0617 0.0637 0.9961 -vn -0.5194 -0.3927 0.7590 -vn -0.7875 -0.6131 0.0627 -vn -0.5808 -0.4649 -0.6682 -vn -0.0338 -0.0453 -0.9984 -vn 0.5271 0.3948 -0.7525 -vn -0.6874 0.1660 0.7071 -vn -0.9695 0.2451 0.0000 -vn -0.0024 -0.0098 0.9999 -vn 0.6841 -0.1792 0.7070 -vn 0.6841 -0.1792 0.7071 -vn 0.9700 -0.2431 0.0000 -vn 0.6879 -0.1639 -0.7070 -vn 0.0030 0.0119 -0.9999 -vn -0.6836 0.1813 -0.7070 -vn -0.6835 0.1813 -0.7070 -vn -0.6874 0.1659 0.7071 -vn -0.0025 -0.0099 0.9999 -vn 0.6840 -0.1793 0.7071 -vn 0.6879 -0.1640 -0.7070 -vn 0.0030 0.0118 -0.9999 -vn -0.6874 0.1658 0.7070 -vn -0.9695 0.2450 -0.0000 -vn 0.6840 -0.1794 0.7071 -vn 0.9700 -0.2432 -0.0000 -vn -0.6835 0.1812 -0.7071 -vn -0.4664 -0.7543 0.4620 -vn -0.4770 -0.7513 0.4561 -vn -0.9335 -0.3581 -0.0169 -vn -0.9303 -0.3668 -0.0089 -vn 0.2638 -0.7016 0.6620 -vn 0.2586 -0.7034 0.6621 -vn 0.8401 -0.2471 0.4829 -vn 0.8422 -0.2435 0.4811 -vn 0.9360 0.3510 0.0267 -vn 0.9329 0.3597 0.0188 -vn 0.4871 0.7496 -0.4481 -vn 0.4764 0.7528 -0.4542 -vn -0.2538 0.7069 -0.6602 -vn -0.2592 0.7050 -0.6601 -vn -0.8450 0.2414 -0.4772 -vn -0.8428 0.2452 -0.4791 -vn -0.4866 -0.7618 0.4277 -vn -0.9454 -0.3259 -0.0020 -vn 0.2668 -0.7476 0.6083 -vn 0.8616 -0.2810 0.4226 -vn 0.9354 0.3531 -0.0163 -vn 0.4557 0.7735 -0.4405 -vn -0.2822 0.7443 -0.6053 -vn -0.8563 0.2932 -0.4252 -vn -0.4946 -0.7816 0.3801 -vn -0.9615 -0.2592 0.0910 -vn 0.2769 -0.8493 0.4495 -vn 0.8885 -0.3903 0.2415 -vn 0.9440 0.3093 -0.1150 -vn 0.4341 0.8098 -0.3947 -vn -0.3141 0.8394 -0.4436 -vn -0.8821 0.4024 -0.2449 -vn -0.4833 -0.8075 0.3381 -vn -0.9538 -0.2195 0.2053 -vn 0.2817 -0.9204 0.2713 -vn 0.8786 -0.4759 0.0410 -vn 0.9438 0.2534 -0.2122 -vn 0.4500 0.8268 -0.3375 -vn -0.2986 0.9166 -0.2657 -vn -0.8724 0.4868 -0.0431 -vn -0.4423 -0.8473 0.2939 -vn -0.9500 -0.2763 0.1451 -vn 0.3142 -0.9103 0.2696 -vn 0.8826 -0.4604 0.0953 -vn 0.9610 0.2434 -0.1308 -vn 0.4996 0.8180 -0.2851 -vn -0.2621 0.9253 -0.2739 -vn -0.8766 0.4720 -0.0941 -vn -0.4257 -0.8659 0.2627 -vn -0.9199 -0.3807 -0.0945 -vn 0.3005 -0.8364 0.4584 -vn 0.8494 -0.3457 0.3988 -vn 0.9353 0.3318 0.1232 -vn 0.5053 0.8337 -0.2229 -vn -0.2303 0.8640 -0.4478 -vn -0.8441 0.3573 -0.3998 -vn -0.4221 -0.8787 0.2229 -vn -0.8181 -0.4805 -0.3161 -vn 0.2137 -0.7548 0.6202 -vn 0.7195 -0.2079 0.6627 -vn 0.8249 0.4528 0.3385 -vn 0.4673 0.8658 -0.1789 -vn -0.1693 0.7807 -0.6016 -vn -0.7134 0.2190 -0.6657 -vn -0.4321 -0.8832 0.1824 -vn -0.7591 -0.5122 -0.4019 -vn 0.1492 -0.7357 0.6607 -vn 0.6416 -0.1567 0.7508 -vn 0.7578 0.5139 0.4021 -vn 0.4292 0.8845 -0.1828 -vn -0.1520 0.7355 -0.6602 -vn -0.6428 0.1569 -0.7498 -vn -0.4448 -0.8795 0.1691 -vn -0.7637 -0.5025 -0.4054 -vn 0.1381 -0.7451 0.6525 -vn 0.6425 -0.1620 0.7490 -vn 0.7583 0.5205 0.3925 -vn 0.4173 0.8870 -0.1976 -vn -0.1658 0.7288 -0.6643 -vn -0.6481 0.1563 -0.7454 -vn 0.2240 -0.6751 0.7029 -vn 0.2284 -0.6804 0.6963 -vn 0.4905 -0.8714 0.0027 -vn 0.4890 -0.8722 0.0117 -vn -0.1701 -0.0873 0.9815 -vn -0.1682 -0.0912 0.9815 -vn -0.4658 0.5487 0.6942 -vn -0.4667 0.5509 0.6919 -vn -0.4941 0.8694 0.0059 -vn -0.4927 0.8702 -0.0031 -vn -0.2350 0.6846 -0.6900 -vn -0.2306 0.6792 -0.6968 -vn 0.1639 0.0939 -0.9820 -vn 0.1659 0.0899 -0.9820 -vn 0.4654 -0.5544 -0.6900 -vn 0.4645 -0.5522 -0.6924 -vn 0.2509 -0.6791 0.6899 -vn 0.4701 -0.8825 -0.0138 -vn -0.1196 -0.0719 0.9902 -vn -0.4203 0.5804 0.6975 -vn -0.4692 0.8830 -0.0120 -vn -0.2418 0.6624 -0.7091 -vn 0.1230 0.0597 -0.9906 -vn 0.4155 -0.5753 -0.7045 -vn 0.2915 -0.6627 0.6898 -vn 0.4156 -0.9093 -0.0225 -vn -0.0081 -0.0195 0.9998 -vn -0.3050 0.6389 0.7062 -vn -0.4173 0.9087 -0.0122 -vn -0.2826 0.6387 -0.7156 -vn 0.0129 0.0034 -0.9999 -vn 0.2993 -0.6315 -0.7152 -vn 0.3310 -0.6427 0.6909 -vn 0.3585 -0.9334 -0.0156 -vn 0.1066 0.0314 0.9938 -vn -0.1835 0.6890 0.7011 -vn -0.3634 0.9316 -0.0107 -vn -0.3281 0.6227 -0.7104 -vn -0.1038 -0.0441 -0.9936 -vn 0.1784 -0.6835 -0.7078 -vn 0.3463 -0.6259 0.6988 -vn 0.3364 -0.9417 0.0013 -vn 0.1528 0.0561 0.9867 -vn -0.1307 0.7047 0.6974 -vn -0.3385 0.9410 0.0000 -vn -0.3487 0.6258 -0.6977 -vn -0.1551 -0.0564 -0.9863 -vn 0.1287 -0.7057 -0.6968 -vn 0.3445 -0.6203 0.7047 -vn 0.3386 -0.9409 0.0091 -vn 0.1495 0.0589 0.9870 -vn -0.1319 0.7021 0.6998 -vn -0.3382 0.9410 0.0080 -vn -0.3491 0.6320 -0.6919 -vn -0.1545 -0.0521 -0.9866 -vn 0.1317 -0.7068 -0.6950 -vn -0.6847 0.2054 0.6993 -vn -0.9048 0.4258 0.0001 -vn -0.0633 -0.1348 0.9889 -vn 0.5954 -0.3956 0.6993 -vn 0.9056 -0.4241 0.0002 -vn 0.9056 -0.4241 0.0001 -vn 0.6855 -0.2037 -0.6990 -vn 0.6855 -0.2038 -0.6990 -vn 0.0640 0.1365 -0.9886 -vn 0.0641 0.1365 -0.9886 -vn -0.5947 0.3973 -0.6990 -vn -0.0633 -0.1348 0.9888 -vn 0.9056 -0.4242 0.0001 -vn 0.0641 0.1364 -0.9886 -vn -0.5947 0.3972 -0.6990 -vn -0.6847 0.2053 0.6993 -vn -0.9049 0.4257 0.0001 -vn -0.0633 -0.1349 0.9888 -vn 0.5954 -0.3957 0.6993 -vn 0.9055 -0.4243 0.0001 -vn 0.0640 0.1364 -0.9886 -vn -0.7740 0.3997 0.4911 -vn -0.7727 0.4080 0.4863 -vn -0.4492 0.8934 -0.0098 -vn -0.4558 0.8901 -0.0027 -vn -0.6414 -0.3191 0.6977 -vn -0.6428 -0.3160 0.6978 -vn -0.1401 -0.8527 0.5033 -vn -0.1363 -0.8545 0.5012 -vn 0.4441 -0.8958 0.0185 -vn 0.4506 -0.8926 0.0115 -vn 0.7727 -0.4156 -0.4797 -vn 0.7742 -0.4073 -0.4846 -vn 0.6459 0.3135 -0.6961 -vn 0.6444 0.3167 -0.6960 -vn 0.1341 0.8572 -0.4973 -vn 0.1379 0.8553 -0.4995 -vn -0.7866 0.4117 0.4601 -vn -0.4272 0.9041 -0.0041 -vn -0.6802 -0.3291 0.6550 -vn -0.1645 -0.8739 0.4574 -vn 0.4481 -0.8939 -0.0125 -vn 0.7927 -0.3874 -0.4706 -vn 0.6778 0.3388 -0.6526 -vn 0.1768 0.8695 -0.4612 -vn -0.8209 0.4089 0.3987 -vn -0.3813 0.9233 0.0459 -vn -0.7752 -0.3600 0.5191 -vn -0.2503 -0.9135 0.3207 -vn 0.4237 -0.9030 -0.0718 -vn 0.8360 -0.3596 -0.4144 -vn 0.7672 0.3812 -0.5159 -vn 0.2697 0.9054 -0.3278 -vn -0.8560 0.3896 0.3398 -vn -0.3571 0.9269 0.1153 -vn -0.8483 -0.3843 0.3642 -vn -0.3302 -0.9284 0.1703 -vn 0.3842 -0.9148 -0.1243 -vn 0.8668 -0.3620 -0.3429 -vn 0.8450 0.3946 -0.3608 -vn 0.3430 0.9233 -0.1729 -vn -0.8696 0.3509 0.3473 -vn -0.4052 0.9092 0.0960 -vn -0.8265 -0.3997 0.3964 -vn -0.3211 -0.9202 0.2240 -vn 0.3663 -0.9276 -0.0739 -vn 0.8533 -0.4015 -0.3327 -vn 0.8394 0.3729 -0.3953 -vn 0.3115 0.9255 -0.2155 -vn -0.8368 0.3537 0.4180 -vn -0.4875 0.8728 -0.0247 -vn -0.7048 -0.3536 0.6150 -vn -0.1871 -0.8607 0.4735 -vn 0.4352 -0.8974 0.0724 -vn 0.8222 -0.4275 -0.3758 -vn 0.7277 0.3120 -0.6108 -vn 0.1719 0.8691 -0.4639 -vn -0.7925 0.3974 0.4626 -vn -0.5639 0.8136 -0.1417 -vn -0.5621 -0.2406 0.7913 -vn -0.0187 -0.7380 0.6745 -vn 0.5374 -0.8238 0.1803 -vn 0.7928 -0.4375 -0.4244 -vn 0.5790 0.2161 -0.7862 -vn 0.0089 0.7433 -0.6689 -vn -0.7720 0.4444 0.4544 -vn -0.5595 0.8090 -0.1800 -vn -0.5325 -0.1831 0.8264 -vn 0.0247 -0.7041 0.7097 -vn 0.5685 -0.8051 0.1693 -vn 0.7728 -0.4263 -0.4702 -vn 0.5227 0.1997 -0.8288 -vn -0.0262 0.7067 -0.7071 -vn -0.7638 0.4588 0.4541 -vn -0.4859 0.8655 -0.1219 -vn -0.5962 -0.2226 0.7713 -vn -0.0655 -0.7771 0.6260 -vn 0.5058 -0.8569 0.0988 -vn 0.7682 -0.4222 -0.4813 -vn 0.5811 0.2524 -0.7737 -vn 0.0659 0.7786 -0.6241 -vn -0.7567 0.4543 0.4701 -vn -0.4226 0.9052 -0.0442 -vn -0.6494 -0.2655 0.7126 -vn -0.1557 -0.8312 0.5337 -vn 0.4322 -0.9011 0.0364 -vn 0.7616 -0.4350 -0.4804 -vn 0.6427 0.2830 -0.7120 -vn 0.1537 0.8336 -0.5305 -vn -0.7534 0.4473 0.4820 -vn -0.4035 0.9149 -0.0132 -vn -0.6613 -0.2821 0.6951 -vn -0.1816 -0.8458 0.5016 -vn 0.4046 -0.9143 0.0152 -vn 0.7547 -0.4474 -0.4799 -vn 0.6630 0.2821 -0.6934 -vn 0.1832 0.8464 -0.5001 -vn -0.7548 0.4415 0.4850 -vn -0.4071 0.9133 -0.0116 -vn -0.6584 -0.2868 0.6959 -vn -0.1796 -0.8458 0.5023 -vn 0.4031 -0.9150 0.0189 -vn 0.7536 -0.4529 -0.4763 -vn 0.6646 0.2766 -0.6941 -vn 0.1830 0.8453 -0.5019 -vn -0.4055 -0.8771 0.2575 -vn -0.9261 -0.3773 0.0025 -vn 0.3524 -0.8626 0.3631 -vn 0.9036 -0.3423 0.2575 -vn 0.9036 -0.3422 0.2575 -vn 0.9254 0.3791 0.0025 -vn 0.4048 0.8789 -0.2524 -vn -0.3531 0.8644 -0.3580 -vn -0.9044 0.3441 -0.2524 -vn -0.4055 -0.8771 0.2573 -vn -0.9261 -0.3773 0.0024 -vn 0.3524 -0.8626 0.3629 -vn 0.9037 -0.3423 0.2573 -vn 0.9254 0.3790 0.0024 -vn 0.4048 0.8788 -0.2525 -vn -0.3531 0.8643 -0.3581 -vn -0.9044 0.3440 -0.2525 -vn -0.4055 -0.8772 0.2572 -vn -0.9261 -0.3774 0.0023 -vn 0.3524 -0.8627 0.3628 -vn 0.9037 -0.3423 0.2572 -vn 0.9254 0.3790 0.0023 -vn 0.4048 0.8788 -0.2527 -vn -0.3531 0.8643 -0.3582 -vn -0.9044 0.3440 -0.2527 -vn -0.5480 0.5542 0.6266 -vn -0.2519 0.9660 0.0585 -vn -0.4789 -0.1669 0.8619 -vn -0.0850 -0.7747 0.6266 -vn 0.4030 -0.9133 0.0585 -vn 0.6991 -0.5015 -0.5096 -vn 0.6992 -0.5015 -0.5096 -vn 0.6300 0.2195 -0.7449 -vn 0.2361 0.8274 -0.5096 -vn -0.5525 0.5529 0.6237 -vn -0.2561 0.9651 0.0551 -vn -0.4832 -0.1687 0.8591 -vn -0.0886 -0.7767 0.6237 -vn 0.3997 -0.9149 0.0555 -vn 0.6959 -0.5030 -0.5125 -vn 0.6268 0.2180 -0.7481 -vn 0.2325 0.8262 -0.5131 -vn -0.5378 0.5571 0.6328 -vn -0.2465 0.9670 0.0649 -vn -0.4765 -0.1632 0.8639 -vn -0.0965 -0.7769 0.6222 -vn 0.3824 -0.9229 0.0449 -vn 0.6776 -0.5105 -0.5293 -vn 0.6133 0.2169 -0.7595 -vn 0.2294 0.8281 -0.5115 -vn -0.5084 0.5633 0.6513 -vn -0.2208 0.9721 0.0794 -vn -0.4552 -0.1608 0.8758 -vn -0.0907 -0.7789 0.6205 -vn 0.3729 -0.9273 0.0331 -vn 0.6625 -0.5173 -0.5418 -vn 0.6076 0.2102 -0.7660 -vn 0.2410 0.8270 -0.5079 -vn -0.5616 0.5489 0.6191 -vn -0.2573 0.9654 0.0431 -vn -0.4834 -0.1813 0.8564 -vn -0.0753 -0.7820 0.6187 -vn 0.4160 -0.9075 0.0584 -vn 0.7090 -0.4983 -0.4990 -vn 0.6395 0.2109 -0.7393 -vn 0.2427 0.8189 -0.5201 -vn -0.6911 0.5026 0.5194 -vn -0.3604 0.9319 -0.0401 -vn -0.5639 -0.2110 0.7985 -vn -0.0668 -0.7696 0.6351 -vn 0.4966 -0.8562 0.1426 -vn 0.8087 -0.4383 -0.3923 -vn 0.6982 0.2470 -0.6719 -vn 0.2197 0.8170 -0.5331 -vn -0.7963 0.4433 0.4115 -vn -0.4478 0.8857 -0.1222 -vn -0.6316 -0.2393 0.7375 -vn -0.0632 -0.7459 0.6630 -vn 0.5638 -0.7885 0.2457 -vn 0.8946 -0.3572 -0.2686 -vn 0.7471 0.3030 -0.5917 -vn 0.1964 0.8207 -0.5366 -vn -0.8369 0.4137 0.3584 -vn -0.4902 0.8577 -0.1554 -vn -0.6668 -0.2444 0.7041 -vn -0.0798 -0.7303 0.6784 -vn 0.5786 -0.7595 0.2972 -vn 0.9238 -0.3165 -0.2152 -vn 0.7553 0.3400 -0.5603 -vn 0.1698 0.8269 -0.5361 -vn -0.8385 0.4134 0.3551 -vn -0.4970 0.8540 -0.1539 -vn -0.6740 -0.2391 0.6990 -vn -0.0930 -0.7293 0.6778 -vn 0.5705 -0.7658 0.2968 -vn 0.9213 -0.3192 -0.2220 -vn 0.7474 0.3447 -0.5680 -vn 0.1570 0.8289 -0.5369 -vn 0.4278 0.6213 0.6564 -vn 0.3182 0.9477 -0.0236 -vn 0.3367 -0.0810 0.9381 -vn 0.0983 -0.7480 0.6564 -vn -0.1478 -0.9887 -0.0236 -vn -0.2574 -0.6624 -0.7036 -vn -0.1663 0.0400 -0.9853 -vn 0.0722 0.7069 -0.7036 -vn 0.4236 0.6227 0.6579 -vn 0.3139 0.9492 -0.0224 -vn 0.3324 -0.0800 0.9397 -vn 0.0939 -0.7472 0.6579 -vn -0.1523 -0.9881 -0.0224 -vn -0.2619 -0.6616 -0.7027 -vn -0.1708 0.0411 -0.9845 -vn 0.0677 0.7083 -0.7027 -vn 0.4205 0.6236 0.6590 -vn 0.3108 0.9502 -0.0215 -vn 0.3293 -0.0792 0.9409 -vn 0.0907 -0.7466 0.6590 -vn -0.1556 -0.9876 -0.0215 -vn -0.2653 -0.6610 -0.7020 -vn -0.1741 0.0419 -0.9838 -vn 0.0645 0.7093 -0.7020 -vn 0.4264 0.6218 0.6569 -vn 0.3168 0.9482 -0.0232 -vn 0.3353 -0.0807 0.9387 -vn 0.0968 -0.7477 0.6569 -vn -0.1493 -0.9885 -0.0232 -vn -0.2589 -0.6621 -0.7033 -vn -0.1678 0.0404 -0.9850 -vn 0.0707 0.7074 -0.7033 -vn 0.4266 0.6217 0.6569 -vn 0.3170 0.9481 -0.0232 -vn 0.3355 -0.0807 0.9386 -vn 0.0970 -0.7477 0.6569 -vn -0.1491 -0.9886 -0.0232 -vn -0.2587 -0.6621 -0.7033 -vn -0.1676 0.0403 -0.9850 -vn 0.0709 0.7073 -0.7033 -vn 0.4218 0.6232 0.6585 -vn 0.3122 0.9498 -0.0219 -vn 0.3307 -0.0796 0.9404 -vn 0.0921 -0.7469 0.6585 -vn -0.1541 -0.9878 -0.0219 -vn -0.2638 -0.6612 -0.7023 -vn -0.1726 0.0415 -0.9841 -vn 0.0659 0.7088 -0.7023 -vn 0.3353 -0.0807 0.9386 -vn 0.3355 -0.0808 0.9386 -vn 0.0971 -0.7477 0.6569 -vn -0.2587 -0.6621 -0.7034 -vn 0.4218 0.6232 0.6586 -vn 0.0921 -0.7469 0.6586 -vn -0.1727 0.0415 -0.9841 -vn -0.6881 0.3567 0.6319 -vn -0.6843 0.3614 0.6333 -vn -0.9831 0.1785 -0.0405 -vn -0.9838 0.1756 -0.0354 -vn 0.0083 0.3870 0.9220 -vn 0.0190 0.3877 0.9216 -vn 0.7098 0.2454 0.6603 -vn 0.7174 0.2415 0.6534 -vn 0.9999 0.0117 -0.0121 -vn 0.9998 0.0080 -0.0157 -vn 0.6963 -0.1741 -0.6963 -vn 0.6997 -0.1757 -0.6924 -vn -0.0175 -0.1998 -0.9797 -vn -0.0066 -0.2018 -0.9794 -vn -0.7112 -0.0536 -0.7009 -vn -0.7038 -0.0547 -0.7083 -vn -0.6882 0.3075 0.6571 -vn -0.9923 0.1210 -0.0281 -vn 0.0282 0.3626 0.9315 -vn 0.7240 0.2575 0.6400 -vn 0.9978 0.0569 -0.0340 -vn 0.7020 -0.1247 -0.7011 -vn 0.0043 -0.1844 -0.9828 -vn -0.6997 -0.0842 -0.7094 -vn -0.6932 0.1677 0.7010 -vn -0.9997 -0.0218 0.0107 -vn 0.0246 0.3069 0.9514 -vn 0.7128 0.3152 0.6266 -vn 0.9791 0.1928 -0.0653 -vn 0.6850 0.0108 -0.7285 -vn -0.0050 -0.1290 -0.9916 -vn -0.7055 -0.1447 -0.6938 -vn -0.6809 0.0284 0.7318 -vn -0.9858 -0.1618 0.0448 -vn 0.0173 0.2558 0.9666 -vn 0.6834 0.3836 0.6211 -vn 0.9357 0.3419 -0.0866 -vn 0.6414 0.1582 -0.7507 -vn -0.0341 -0.0642 -0.9974 -vn -0.7108 -0.1985 -0.6748 -vn -0.6728 -0.0377 0.7389 -vn -0.9722 -0.2253 0.0634 -vn 0.0032 0.2250 0.9744 -vn 0.6590 0.4081 0.6318 -vn 0.9104 0.4046 -0.0867 -vn 0.6116 0.2175 -0.7606 -vn -0.0630 -0.0442 -0.9970 -vn -0.7195 -0.2278 -0.6561 -vn -0.6778 -0.0233 0.7348 -vn -0.9758 -0.2097 0.0627 -vn -0.0017 0.2266 0.9740 -vn 0.6613 0.3948 0.6378 -vn 0.9208 0.3814 -0.0818 -vn 0.6198 0.1930 -0.7607 -vn -0.0631 -0.0585 -0.9963 -vn -0.7230 -0.2248 -0.6533 -vn -0.6821 0.0030 0.7313 -vn -0.9813 -0.1840 0.0565 -vn 0.0003 0.2417 0.9703 -vn 0.6668 0.3924 0.6335 -vn 0.9267 0.3667 -0.0825 -vn 0.6272 0.1795 -0.7579 -vn -0.0559 -0.0593 -0.9967 -vn -0.7221 -0.2098 -0.6592 -vn -0.6821 0.0036 0.7313 -vn -0.9814 -0.1835 0.0562 -vn 0.0007 0.2422 0.9702 -vn 0.6671 0.3926 0.6331 -vn 0.9267 0.3666 -0.0827 -vn 0.6273 0.1796 -0.7578 -vn -0.0556 -0.0590 -0.9967 -vn -0.7219 -0.2094 -0.6596 -vn -0.6808 -0.0018 0.7324 -vn -0.9803 -0.1890 0.0570 -vn 0.0023 0.2369 0.9715 -vn 0.6692 0.3874 0.6342 -vn 0.9288 0.3614 -0.0820 -vn 0.6292 0.1743 -0.7575 -vn -0.0540 -0.0645 -0.9965 -vn -0.7206 -0.2150 -0.6592 -vn -0.4889 -0.5071 0.7098 -vn -0.7305 -0.6829 0.0093 -vn -0.0047 0.0041 1.0000 -vn 0.4385 0.5512 0.7098 -vn 0.5811 0.8138 0.0093 -vn 0.3395 0.6380 -0.6912 -vn -0.1448 0.1268 -0.9813 -vn -0.1447 0.1268 -0.9813 -vn -0.5879 -0.4203 -0.6912 -vn -0.4852 -0.5108 0.7097 -vn -0.7269 -0.6866 0.0089 -vn -0.0008 0.0007 1.0000 -vn 0.4426 0.5481 0.7097 -vn 0.5852 0.8108 0.0089 -vn 0.3435 0.6349 -0.6920 -vn -0.1409 0.1235 -0.9823 -vn -0.5843 -0.4239 -0.6920 -vn -0.4825 -0.5135 0.7096 -vn -0.7243 -0.6894 0.0085 -vn 0.0021 -0.0018 1.0000 -vn 0.4456 0.5458 0.7096 -vn 0.5883 0.8086 0.0085 -vn 0.3465 0.6327 -0.6926 -vn -0.1381 0.1210 -0.9830 -vn -0.5817 -0.4266 -0.6926 -vn -0.4876 -0.5083 0.7098 -vn -0.7293 -0.6842 0.0092 -vn -0.0033 0.0029 1.0000 -vn 0.4399 0.5502 0.7098 -vn 0.5825 0.8128 0.0092 -vn 0.3408 0.6370 -0.6914 -vn -0.1435 0.1257 -0.9816 -vn -0.5867 -0.4215 -0.6914 -vn -0.4878 -0.5081 0.7098 -vn -0.7295 -0.6840 0.0092 -vn -0.0036 0.0031 1.0000 -vn 0.4397 0.5503 0.7098 -vn 0.5823 0.8129 0.0092 -vn 0.3406 0.6371 -0.6914 -vn -0.1437 0.1259 -0.9816 -vn -0.5869 -0.4213 -0.6914 -vn -0.4837 -0.5123 0.7096 -vn -0.7255 -0.6882 0.0087 -vn 0.0008 -0.0007 1.0000 -vn 0.4443 0.5468 0.7096 -vn 0.5870 0.8096 0.0086 -vn 0.3452 0.6337 -0.6923 -vn -0.1394 0.1221 -0.9827 -vn -0.5828 -0.4254 -0.6923 -vn -0.4877 -0.5084 0.7098 -vn -0.0034 0.0029 1.0000 -vn 0.3409 0.6370 -0.6914 -vn -0.4879 -0.5081 0.7098 -vn 0.5822 0.8130 0.0092 -vn 0.3407 0.6371 -0.6914 -vn -0.4838 -0.5122 0.7096 -vn 0.0007 -0.0007 1.0000 -vn 0.4443 0.5468 0.7097 -vn 0.5870 0.8096 0.0087 -vn 0.3453 0.6336 -0.6923 -vn -0.1393 0.1221 -0.9827 -vn -0.5829 -0.4254 -0.6923 -vn -0.6815 0.2524 0.6869 -vn -0.9819 0.1893 -0.0113 -vn 0.0232 0.2162 0.9761 -vn 0.0232 0.2161 0.9761 -vn 0.7196 0.1018 0.6869 -vn 0.9997 -0.0237 -0.0113 -vn 0.6993 -0.0868 -0.7095 -vn -0.0055 -0.0505 -0.9987 -vn -0.0054 -0.0505 -0.9987 -vn -0.7018 0.0638 -0.7095 -vn -0.6823 0.2482 0.6877 -vn -0.9827 0.1850 -0.0107 -vn 0.0228 0.2119 0.9770 -vn 0.7194 0.0975 0.6877 -vn 0.9996 -0.0280 -0.0107 -vn 0.6991 -0.0911 -0.7092 -vn -0.0059 -0.0549 -0.9985 -vn -0.7025 0.0595 -0.7092 -vn -0.6828 0.2451 0.6883 -vn -0.9833 0.1819 -0.0103 -vn 0.0224 0.2088 0.9777 -vn 0.7192 0.0944 0.6883 -vn 0.9995 -0.0311 -0.0103 -vn 0.6989 -0.0943 -0.7089 -vn -0.0062 -0.0580 -0.9983 -vn -0.7030 0.0564 -0.7089 -vn -0.6818 0.2510 0.6872 -vn -0.9821 0.1879 -0.0111 -vn 0.0231 0.2147 0.9764 -vn 0.7195 0.1004 0.6872 -vn 0.9996 -0.0251 -0.0111 -vn 0.6993 -0.0882 -0.7094 -vn -0.0056 -0.0520 -0.9986 -vn -0.7020 0.0624 -0.7094 -vn -0.6817 0.2512 0.6871 -vn -0.9821 0.1881 -0.0111 -vn 0.0231 0.2149 0.9764 -vn 0.7195 0.1006 0.6871 -vn 0.9996 -0.0249 -0.0111 -vn 0.6993 -0.0880 -0.7094 -vn -0.0055 -0.0518 -0.9986 -vn -0.7020 0.0626 -0.7094 -vn -0.6825 0.2464 0.6881 -vn -0.9830 0.1833 -0.0105 -vn 0.0226 0.2102 0.9774 -vn 0.7193 0.0958 0.6881 -vn 0.9995 -0.0297 -0.0105 -vn 0.6991 -0.0929 -0.7090 -vn -0.0061 -0.0566 -0.9984 -vn -0.7028 0.0578 -0.7090 -vn 0.7196 0.1004 0.6871 -vn 0.9996 -0.0251 -0.0112 -vn -0.6817 0.2512 0.6872 -vn -0.9821 0.1880 -0.0111 -vn 0.0232 0.2149 0.9764 -vn -0.6824 0.2465 0.6882 -vn -0.9830 0.1833 -0.0104 -vn 0.0227 0.2102 0.9774 -vn 0.7192 0.0958 0.6881 -vn 0.9995 -0.0297 -0.0104 -vn 0.6991 -0.0929 -0.7089 -vn -0.0059 -0.0566 -0.9984 -vn -0.7028 0.0577 -0.7091 -vn -0.4001 0.6425 0.6535 -vn -0.0347 0.9950 0.0935 -vn -0.4586 -0.0746 0.8855 -vn -0.1759 -0.7362 0.6535 -vn 0.2824 -0.9547 0.0935 -vn 0.6479 -0.6022 -0.4665 -vn 0.7064 0.1149 -0.6985 -vn 0.4236 0.7765 -0.4665 -vn -0.4070 0.6422 0.6495 -vn -0.0411 0.9952 0.0888 -vn -0.4655 -0.0757 0.8818 -vn -0.1825 -0.7381 0.6495 -vn 0.2764 -0.9569 0.0888 -vn 0.6423 -0.6040 -0.4719 -vn 0.7009 0.1140 -0.7041 -vn 0.4178 0.7764 -0.4719 -vn -0.4122 0.6420 0.6465 -vn -0.0460 0.9953 0.0853 -vn -0.4708 -0.0766 0.8789 -vn -0.1875 -0.7396 0.6464 -vn 0.2718 -0.9586 0.0853 -vn 0.6380 -0.6053 -0.4759 -vn 0.6967 0.1133 -0.7084 -vn 0.4133 0.7763 -0.4759 -vn -0.4026 0.6424 0.6521 -vn -0.0370 0.9951 0.0918 -vn -0.4611 -0.0750 0.8842 -vn -0.1782 -0.7369 0.6521 -vn 0.2803 -0.9555 0.0918 -vn 0.6459 -0.6028 -0.4684 -vn 0.7044 0.1146 -0.7005 -vn 0.4215 0.7764 -0.4684 -vn -0.4020 0.6424 0.6524 -vn -0.0364 0.9951 0.0922 -vn -0.4605 -0.0749 0.8845 -vn -0.1777 -0.7367 0.6524 -vn 0.2808 -0.9553 0.0922 -vn 0.6464 -0.6027 -0.4680 -vn 0.7049 0.1146 -0.7000 -vn 0.4221 0.7765 -0.4680 -vn -0.4099 0.6421 0.6478 -vn -0.0439 0.9953 0.0868 -vn -0.4685 -0.0762 0.8802 -vn -0.1853 -0.7389 0.6478 -vn 0.2738 -0.9579 0.0868 -vn 0.6399 -0.6047 -0.4742 -vn 0.6985 0.1136 -0.7065 -vn 0.4153 0.7764 -0.4742 -vn -0.1783 -0.7369 0.6521 -vn 0.4216 0.7764 -0.4684 -vn -0.0364 0.9951 0.0923 -vn 0.2808 -0.9553 0.0923 -vn 0.6464 -0.6027 -0.4679 -vn -0.4099 0.6422 0.6478 -vn -0.0438 0.9953 0.0868 -vn -0.4686 -0.0762 0.8801 -vn 0.2739 -0.9578 0.0868 -vn 0.6399 -0.6047 -0.4741 -vn 0.4153 0.7763 -0.4742 -vn -0.7394 -0.1435 0.6578 -vn -0.9543 0.2896 0.0733 -vn -0.0795 -0.4288 0.8999 -vn 0.6388 -0.3991 0.6578 -vn 0.9947 -0.0718 0.0733 -vn 0.9947 -0.0719 0.0733 -vn 0.7798 0.3613 -0.5113 -vn 0.1199 0.6466 -0.7534 -vn -0.5984 0.6169 -0.5113 -vn -0.7411 -0.1493 0.6546 -vn -0.9562 0.2843 0.0695 -vn -0.0806 -0.4348 0.8969 -vn 0.6383 -0.4051 0.6546 -vn 0.9946 -0.0775 0.0696 -vn 0.7795 0.3560 -0.5155 -vn 0.1190 0.6415 -0.7578 -vn -0.6000 0.6118 -0.5155 -vn -0.7424 -0.1536 0.6522 -vn -0.9576 0.2802 0.0667 -vn -0.0815 -0.4393 0.8946 -vn 0.6379 -0.4096 0.6522 -vn 0.9944 -0.0818 0.0668 -vn 0.7792 0.3520 -0.5186 -vn 0.1183 0.6377 -0.7611 -vn -0.6011 0.6080 -0.5187 -vn -0.7400 -0.1455 0.6567 -vn -0.9550 0.2877 0.0720 -vn -0.0799 -0.4309 0.8989 -vn 0.6386 -0.4012 0.6567 -vn 0.9947 -0.0738 0.0720 -vn 0.7797 0.3594 -0.5127 -vn 0.1196 0.6448 -0.7549 -vn -0.5990 0.6151 -0.5127 -vn -0.7399 -0.1451 0.6569 -vn -0.9549 0.2881 0.0722 -vn -0.0798 -0.4305 0.8991 -vn 0.6387 -0.4008 0.6569 -vn 0.9947 -0.0734 0.0722 -vn 0.7797 0.3598 -0.5124 -vn 0.1196 0.6452 -0.7546 -vn -0.5988 0.6155 -0.5124 -vn -0.7418 -0.1517 0.6532 -vn -0.9570 0.2820 0.0680 -vn -0.0811 -0.4373 0.8956 -vn 0.6381 -0.4076 0.6532 -vn 0.9945 -0.0799 0.0680 -vn 0.7793 0.3538 -0.5173 -vn 0.1186 0.6394 -0.7597 -vn -0.6006 0.6097 -0.5173 -vn 0.1197 0.6452 -0.7546 -vn -0.5989 0.6155 -0.5124 -vn -0.7419 -0.1517 0.6532 -vn -0.9570 0.2821 0.0679 -vn 0.6382 -0.4076 0.6532 -vn 0.9945 -0.0799 0.0679 -vn 0.7793 0.3537 -0.5173 -vn 0.6533 -0.2871 0.7005 -vn 0.8485 -0.5291 0.0013 -vn 0.8486 -0.5291 0.0013 -vn 0.0727 0.1189 0.9902 -vn 0.0728 0.1189 0.9902 -vn -0.5530 0.4511 0.7005 -vn -0.8573 0.5148 0.0013 -vn -0.6621 0.2727 -0.6980 -vn -0.6621 0.2728 -0.6980 -vn -0.0816 -0.1332 -0.9877 -vn -0.0815 -0.1332 -0.9877 -vn 0.5442 -0.4654 -0.6981 -vn 0.5442 -0.4654 -0.6980 -vn 0.6535 -0.2868 0.7005 -vn 0.8487 -0.5288 0.0012 -vn 0.0730 0.1193 0.9902 -vn -0.5527 0.4514 0.7005 -vn -0.8571 0.5152 0.0011 -vn -0.6618 0.2732 -0.6982 -vn -0.0813 -0.1329 -0.9878 -vn 0.5444 -0.4651 -0.6981 -vn 0.6537 -0.2864 0.7005 -vn 0.8490 -0.5285 0.0011 -vn 0.0731 0.1195 0.9901 -vn -0.5525 0.4517 0.7005 -vn -0.8569 0.5154 0.0011 -vn -0.6616 0.2734 -0.6982 -vn -0.0812 -0.1326 -0.9878 -vn 0.5445 -0.4648 -0.6982 -vn 0.6533 -0.2870 0.7006 -vn 0.8486 -0.5290 0.0012 -vn 0.0728 0.1190 0.9902 -vn -0.5528 0.4512 0.7006 -vn -0.8573 0.5149 0.0013 -vn -0.6621 0.2729 -0.6980 -vn -0.0816 -0.1331 -0.9877 -vn 0.5442 -0.4653 -0.6981 -vn 0.6533 -0.2870 0.7005 -vn -0.8572 0.5150 0.0013 -vn -0.6622 0.2729 -0.6979 -vn -0.0817 -0.1332 -0.9877 -vn 0.5443 -0.4653 -0.6980 -vn 0.6536 -0.2866 0.7005 -vn 0.8488 -0.5287 0.0012 -vn 0.0730 0.1194 0.9902 -vn -0.5526 0.4516 0.7005 -vn -0.8570 0.5154 0.0012 -vn -0.6619 0.2733 -0.6980 -vn -0.0815 -0.1327 -0.9878 -vn 0.5444 -0.4649 -0.6982 -vn 0.6533 -0.2871 0.7006 -vn -0.8572 0.5150 0.0012 -vn -0.6618 0.2729 -0.6982 -vn -0.0814 -0.1331 -0.9878 -vn 0.5441 -0.4653 -0.6981 -vn 0.6535 -0.2870 0.7004 -vn -0.6619 0.2729 -0.6981 -vn -0.0814 -0.1331 -0.9877 -vn 0.6539 -0.2866 0.7002 -vn 0.8488 -0.5288 0.0011 -vn -0.5529 0.4515 0.7003 -vn -0.8569 0.5155 0.0011 -vn -0.6620 0.2733 -0.6979 -vn 0.5445 -0.4649 -0.6981 -vn 0.5973 -0.3396 0.7265 -vn 0.7514 -0.6559 0.0716 -vn 0.0310 0.0584 0.9978 -vn -0.6157 0.3050 0.7265 -vn -0.9641 0.2556 0.0716 -vn -0.8100 -0.0607 -0.5833 -vn -0.2437 -0.4587 -0.8545 -vn 0.4031 -0.7052 -0.5833 -vn 0.6044 -0.3305 0.7249 -vn 0.7589 -0.6476 0.0682 -vn 0.0365 0.0686 0.9970 -vn -0.6121 0.3159 0.7249 -vn -0.9614 0.2664 0.0682 -vn -0.8069 -0.0507 -0.5885 -vn -0.2390 -0.4498 -0.8605 -vn 0.4095 -0.6971 -0.5885 -vn 0.6100 -0.3231 0.7236 -vn 0.7648 -0.6409 0.0655 -vn 0.0409 0.0769 0.9962 -vn -0.6091 0.3247 0.7236 -vn -0.9592 0.2751 0.0655 -vn -0.8043 -0.0427 -0.5927 -vn -0.2352 -0.4427 -0.8653 -vn 0.4147 -0.6905 -0.5927 -vn 0.6001 -0.3361 0.7259 -vn 0.7543 -0.6527 0.0703 -vn 0.0331 0.0624 0.9975 -vn -0.6143 0.3092 0.7259 -vn -0.9631 0.2598 0.0703 -vn -0.8088 -0.0568 -0.5853 -vn -0.2419 -0.4553 -0.8569 -vn 0.4056 -0.7021 -0.5853 -vn 0.5991 -0.3373 0.7261 -vn 0.7534 -0.6538 0.0708 -vn 0.0324 0.0610 0.9976 -vn -0.6148 0.3078 0.7261 -vn -0.9634 0.2584 0.0708 -vn -0.8092 -0.0581 -0.5846 -vn -0.2425 -0.4564 -0.8561 -vn 0.4048 -0.7031 -0.5846 -vn 0.6076 -0.3262 0.7242 -vn 0.7623 -0.6438 0.0666 -vn 0.0390 0.0734 0.9965 -vn -0.6104 0.3209 0.7242 -vn -0.9602 0.2714 0.0666 -vn -0.8054 -0.0462 -0.5909 -vn -0.2369 -0.4458 -0.8632 -vn 0.4125 -0.6933 -0.5909 -vn 0.5991 -0.3373 0.7262 -vn -0.9634 0.2584 0.0707 -vn -0.8092 -0.0581 -0.5847 -vn -0.2424 -0.4564 -0.8561 -vn 0.6075 -0.3263 0.7243 -vn 0.7623 -0.6438 0.0668 -vn 0.0390 0.0733 0.9965 -vn -0.2367 -0.4458 -0.8633 -vn 0.4126 -0.6933 -0.5909 -vn -0.4700 0.5307 0.7053 -vn -0.5092 0.8605 0.0187 -vn -0.1168 -0.0826 0.9897 -vn 0.3435 -0.6201 0.7053 -vn 0.6413 -0.7670 0.0187 -vn 0.6022 -0.4372 -0.6680 -vn 0.2490 0.1760 -0.9524 -vn -0.2113 0.7136 -0.6680 -vn -0.4736 0.5284 0.7046 -vn -0.5128 0.8583 0.0177 -vn -0.1203 -0.0851 0.9891 -vn 0.3402 -0.6228 0.7046 -vn 0.6381 -0.7697 0.0177 -vn 0.5990 -0.4398 -0.6692 -vn 0.2457 0.1737 -0.9537 -vn -0.2148 0.7114 -0.6692 -vn -0.4763 0.5268 0.7040 -vn -0.5154 0.8568 0.0170 -vn -0.1229 -0.0869 0.9886 -vn 0.3377 -0.6247 0.7040 -vn 0.6358 -0.7717 0.0170 -vn 0.5966 -0.4417 -0.6700 -vn 0.2432 0.1719 -0.9546 -vn -0.2174 0.7098 -0.6700 -vn -0.4712 0.5299 0.7051 -vn -0.5103 0.8598 0.0184 -vn -0.1180 -0.0834 0.9895 -vn 0.3424 -0.6210 0.7051 -vn 0.6403 -0.7679 0.0184 -vn 0.6011 -0.4381 -0.6684 -vn 0.2479 0.1753 -0.9528 -vn -0.2125 0.7129 -0.6684 -vn -0.4711 0.5300 0.7051 -vn -0.5102 0.8599 0.0184 -vn -0.1178 -0.0833 0.9895 -vn 0.3425 -0.6209 0.7051 -vn 0.6404 -0.7678 0.0184 -vn 0.6013 -0.4380 -0.6683 -vn 0.2481 0.1754 -0.9527 -vn -0.2123 0.7130 -0.6683 -vn -0.4751 0.5275 0.7043 -vn -0.5142 0.8575 0.0173 -vn -0.1218 -0.0861 0.9888 -vn 0.3388 -0.6239 0.7043 -vn 0.6368 -0.7708 0.0173 -vn 0.5976 -0.4409 -0.6697 -vn 0.2443 0.1727 -0.9542 -vn -0.2162 0.7105 -0.6697 -vn -0.5104 0.8598 0.0184 -vn -0.2125 0.7128 -0.6684 -vn -0.4710 0.5300 0.7051 -vn 0.3426 -0.6209 0.7051 -vn 0.2480 0.1754 -0.9527 -vn -0.4750 0.5275 0.7043 -vn -0.5142 0.8575 0.0174 -vn -0.1217 -0.0861 0.9888 -vn 0.3389 -0.6238 0.7043 -vn 0.6369 -0.7708 0.0174 -vn 0.5976 -0.4409 -0.6696 -vn -0.2163 0.7105 -0.6696 -vn -0.0118 0.7642 0.6449 -vn 0.4540 0.8893 0.0557 -vn -0.4243 0.1726 0.8889 -vn -0.5419 -0.5389 0.6449 -vn -0.5420 -0.5389 0.6449 -vn -0.2958 -0.9536 0.0557 -vn 0.1700 -0.8286 -0.5335 -vn 0.5825 -0.2370 -0.7775 -vn 0.7001 0.4746 -0.5335 -vn -0.0156 0.7664 0.6421 -vn 0.4506 0.8912 0.0529 -vn -0.4287 0.1747 0.8864 -vn -0.5467 -0.5374 0.6422 -vn -0.3003 -0.9524 0.0525 -vn 0.1661 -0.8271 -0.5369 -vn 0.5790 -0.2352 -0.7806 -vn 0.6968 0.4764 -0.5363 -vn -0.0251 0.7680 0.6399 -vn 0.4327 0.9006 0.0424 -vn -0.4240 0.1695 0.8897 -vn -0.5325 -0.5424 0.6498 -vn -0.2895 -0.9552 0.0618 -vn 0.1647 -0.8292 -0.5341 -vn 0.5666 -0.2339 -0.7901 -vn 0.6787 0.4846 -0.5519 -vn -0.0214 0.7707 0.6369 -vn 0.4218 0.9062 0.0310 -vn -0.4042 0.1668 0.8993 -vn -0.5032 -0.5498 0.6667 -vn -0.2625 -0.9619 0.0762 -vn 0.1786 -0.8295 -0.5291 -vn 0.5630 -0.2273 -0.7946 -vn 0.6642 0.4924 -0.5625 -vn -0.0015 0.7702 0.6378 -vn 0.4662 0.8829 0.0562 -vn -0.4270 0.1873 0.8847 -vn -0.5551 -0.5319 0.6395 -vn -0.3030 -0.9521 0.0417 -vn 0.1750 -0.8201 -0.5447 -vn 0.5917 -0.2279 -0.7733 -vn 0.7095 0.4721 -0.5232 -vn 0.0182 0.7498 0.6614 -vn 0.5530 0.8218 0.1375 -vn -0.4973 0.2158 0.8403 -vn -0.6827 -0.4792 0.5516 -vn -0.4141 -0.9094 -0.0394 -vn 0.1400 -0.8119 -0.5668 -vn 0.6414 -0.2638 -0.7204 -vn 0.8075 0.4058 -0.4282 -vn 0.0323 0.7162 0.6972 -vn 0.6274 0.7420 0.2362 -vn -0.5573 0.2412 0.7945 -vn -0.7873 -0.4147 0.4563 -vn -0.5081 -0.8530 -0.1196 -vn 0.1068 -0.8074 -0.5802 -vn 0.6832 -0.3194 -0.6566 -vn 0.8934 0.3168 -0.3187 -vn 0.0204 0.6967 0.7170 -vn 0.6471 0.7070 0.2855 -vn -0.5915 0.2450 0.7682 -vn -0.8285 -0.3836 0.4079 -vn -0.5515 -0.8202 -0.1520 -vn 0.0771 -0.8086 -0.5833 -vn 0.6878 -0.3557 -0.6328 -vn 0.9229 0.2715 -0.2729 -vn 0.0072 0.6969 0.7171 -vn 0.6400 0.7135 0.2851 -vn -0.5999 0.2403 0.7631 -vn -0.8305 -0.3837 0.4038 -vn -0.5574 -0.8165 -0.1506 -vn 0.0647 -0.8096 -0.5834 -vn 0.6789 -0.3598 -0.6401 -vn 0.9201 0.2737 -0.2801 -vn -0.7514 -0.0584 0.6572 -vn -0.8507 0.4959 0.1742 -vn -0.1771 -0.4834 0.8573 -vn 0.5359 -0.5300 0.6572 -vn 0.9698 -0.1709 0.1742 -vn 0.8704 0.3834 -0.3088 -vn 0.2961 0.8083 -0.5088 -vn -0.4168 0.8549 -0.3088 -vn -0.7566 -0.0668 0.6504 -vn -0.8562 0.4892 0.1660 -vn -0.1806 -0.4930 0.8511 -vn 0.5345 -0.5397 0.6504 -vn 0.9696 -0.1796 0.1660 -vn 0.8700 0.3764 -0.3185 -vn 0.2940 0.8026 -0.5191 -vn -0.4211 0.8493 -0.3184 -vn -0.7608 -0.0736 0.6448 -vn -0.8606 0.4837 0.1593 -vn -0.1834 -0.5007 0.8460 -vn 0.5333 -0.5476 0.6448 -vn 0.9694 -0.1866 0.1593 -vn 0.8696 0.3706 -0.3263 -vn 0.2922 0.7978 -0.5274 -vn -0.4244 0.8446 -0.3263 -vn -0.7534 -0.0617 0.6546 -vn -0.8529 0.4933 0.1710 -vn -0.1784 -0.4871 0.8549 -vn 0.5353 -0.5338 0.6546 -vn 0.9697 -0.1743 0.1710 -vn 0.8703 0.3807 -0.3126 -vn 0.2953 0.8061 -0.5129 -vn -0.4185 0.8527 -0.3126 -vn -0.7527 -0.0606 0.6555 -vn -0.8521 0.4942 0.1721 -vn -0.1780 -0.4858 0.8557 -vn 0.5355 -0.5325 0.6555 -vn 0.9697 -0.1732 0.1721 -vn 0.8703 0.3816 -0.3113 -vn 0.2956 0.8069 -0.5115 -vn -0.4179 0.8535 -0.3113 -vn -0.7590 -0.0707 0.6472 -vn -0.8587 0.4861 0.1622 -vn -0.1822 -0.4974 0.8482 -vn 0.5338 -0.5442 0.6472 -vn 0.9695 -0.1836 0.1621 -vn 0.8698 0.3731 -0.3229 -vn 0.2930 0.7998 -0.5239 -vn -0.4230 0.8466 -0.3229 -vn -0.4185 0.8527 -0.3125 -vn 0.9697 -0.1731 0.1721 -vn -0.4179 0.8535 -0.3112 -vn -0.7590 -0.0707 0.6473 -vn -0.8588 0.4860 0.1622 -vn 0.2930 0.7998 -0.5238 -vn -0.4230 0.8467 -0.3229 -vn 0.2063 -0.6749 0.7085 -vn 0.2650 -0.9642 0.0053 -vn -0.0190 -0.0070 0.9998 -vn -0.2789 0.6483 0.7085 -vn -0.4212 0.9070 0.0053 -vn -0.3625 0.6176 -0.6980 -vn -0.1372 -0.0503 -0.9893 -vn 0.1227 -0.7055 -0.6980 -vn 0.2104 -0.6736 0.7085 -vn 0.2691 -0.9631 0.0050 -vn -0.0149 -0.0055 0.9999 -vn -0.2749 0.6500 0.7085 -vn -0.4172 0.9088 0.0050 -vn -0.3585 0.6193 -0.6985 -vn -0.1332 -0.0488 -0.9899 -vn 0.1268 -0.7043 -0.6985 -vn 0.2134 -0.6727 0.7085 -vn 0.2722 -0.9622 0.0048 -vn -0.0120 -0.0044 0.9999 -vn -0.2720 0.6512 0.7085 -vn -0.4144 0.9101 0.0048 -vn -0.3557 0.6206 -0.6989 -vn -0.1303 -0.0478 -0.9903 -vn 0.1298 -0.7034 -0.6989 -vn 0.2077 -0.6745 0.7085 -vn 0.2664 -0.9639 0.0052 -vn -0.0176 -0.0065 0.9998 -vn -0.2776 0.6488 0.7085 -vn -0.4199 0.9076 0.0052 -vn -0.3612 0.6182 -0.6982 -vn -0.1359 -0.0498 -0.9895 -vn 0.1241 -0.7051 -0.6981 -vn 0.2075 -0.6745 0.7085 -vn 0.2662 -0.9639 0.0052 -vn -0.0178 -0.0065 0.9998 -vn -0.2777 0.6488 0.7085 -vn -0.4200 0.9075 0.0052 -vn -0.3613 0.6181 -0.6981 -vn -0.1360 -0.0499 -0.9894 -vn 0.1239 -0.7052 -0.6981 -vn 0.2121 -0.6731 0.7085 -vn 0.2708 -0.9626 0.0049 -vn -0.0133 -0.0049 0.9999 -vn -0.2733 0.6507 0.7085 -vn -0.4156 0.9095 0.0049 -vn -0.3569 0.6200 -0.6987 -vn -0.1316 -0.0482 -0.9901 -vn 0.1285 -0.7038 -0.6987 -vn -0.3612 0.6182 -0.6981 -vn -0.2778 0.6488 0.7085 -vn 0.2709 -0.9626 0.0048 -vn -0.0133 -0.0048 0.9999 -vn 0.7331 -0.2104 0.6468 -vn 0.6698 -0.7346 0.1083 -vn 0.3172 0.3779 0.8698 -vn 0.3173 0.3779 0.8698 -vn -0.3341 0.6856 0.6468 -vn -0.8395 0.5325 0.1083 -vn -0.9028 0.0083 -0.4301 -vn -0.4869 -0.5800 -0.6531 -vn 0.1645 -0.8877 -0.4301 -vn 0.7385 -0.2055 0.6422 -vn 0.6751 -0.7305 0.1030 -vn 0.3221 0.3836 0.8655 -vn -0.3303 0.6918 0.6422 -vn -0.8364 0.5384 0.1030 -vn -0.8997 0.0134 -0.4362 -vn -0.4833 -0.5757 -0.6596 -vn 0.1690 -0.8838 -0.4362 -vn 0.7426 -0.2017 0.6386 -vn 0.6792 -0.7273 0.0988 -vn 0.3257 0.3880 0.8622 -vn -0.3273 0.6965 0.6386 -vn -0.8339 0.5430 0.0988 -vn -0.8974 0.0174 -0.4410 -vn -0.4805 -0.5723 -0.6646 -vn 0.1726 -0.8808 -0.4410 -vn 0.7351 -0.2086 0.6451 -vn 0.6717 -0.7331 0.1064 -vn 0.3190 0.3800 0.8683 -vn -0.3327 0.6878 0.6451 -vn -0.8384 0.5346 0.1064 -vn -0.9017 0.0101 -0.4323 -vn -0.4856 -0.5784 -0.6554 -vn 0.1661 -0.8863 -0.4323 -vn 0.7346 -0.2090 0.6455 -vn 0.6713 -0.7335 0.1069 -vn 0.3186 0.3795 0.8686 -vn -0.3331 0.6873 0.6455 -vn -0.8386 0.5341 0.1069 -vn -0.9019 0.0097 -0.4317 -vn -0.4859 -0.5788 -0.6548 -vn 0.1657 -0.8866 -0.4317 -vn 0.7408 -0.2034 0.6401 -vn 0.6774 -0.7287 0.1006 -vn 0.3241 0.3861 0.8636 -vn -0.3286 0.6944 0.6402 -vn -0.8350 0.5410 0.1006 -vn -0.8984 0.0157 -0.4389 -vn -0.4817 -0.5738 -0.6624 -vn 0.1710 -0.8821 -0.4389 -vn -0.8383 0.5347 0.1064 -vn -0.4856 -0.5784 -0.6555 -vn 0.7345 -0.2091 0.6456 -vn 0.6712 -0.7335 0.1069 -vn 0.3186 0.3794 0.8686 -vn -0.9020 0.0097 -0.4317 -vn -0.4860 -0.5788 -0.6548 -vn 0.7408 -0.2034 0.6402 -vn 0.6774 -0.7287 0.1007 -vn 0.3242 0.3861 0.8636 -vn -0.3285 0.6944 0.6402 -vn -0.8984 0.0158 -0.4389 -vn -0.4817 -0.5737 -0.6624 -vn 0.1711 -0.8821 -0.4389 -vn -0.2974 -0.6616 0.6884 -vn -0.6648 -0.7466 0.0248 -vn 0.2124 -0.1643 0.9633 -vn 0.5657 0.4539 0.6884 -vn 0.5557 0.8310 0.0248 -vn 0.1883 0.7460 -0.6388 -vn -0.3215 0.2487 -0.9137 -vn -0.6748 -0.3695 -0.6388 -vn -0.2946 -0.6640 0.6873 -vn -0.6622 -0.7490 0.0235 -vn 0.2153 -0.1666 0.9622 -vn 0.5687 0.4519 0.6873 -vn 0.5587 0.8290 0.0235 -vn 0.1911 0.7440 -0.6403 -vn -0.3187 0.2466 -0.9152 -vn -0.6722 -0.3718 -0.6403 -vn -0.2926 -0.6657 0.6865 -vn -0.6602 -0.7507 0.0226 -vn 0.2174 -0.1682 0.9615 -vn 0.5709 0.4503 0.6865 -vn 0.5609 0.8276 0.0226 -vn 0.1932 0.7425 -0.6413 -vn -0.3167 0.2451 -0.9163 -vn -0.6702 -0.3735 -0.6413 -vn -0.2965 -0.6624 0.6880 -vn -0.6640 -0.7474 0.0244 -vn 0.2133 -0.1650 0.9629 -vn 0.5667 0.4532 0.6880 -vn 0.5567 0.8303 0.0244 -vn 0.1892 0.7453 -0.6393 -vn -0.3206 0.2480 -0.9142 -vn -0.6740 -0.3703 -0.6393 -vn -0.2966 -0.6623 0.6881 -vn -0.6641 -0.7473 0.0244 -vn 0.2132 -0.1650 0.9630 -vn 0.5666 0.4533 0.6881 -vn 0.5566 0.8304 0.0244 -vn 0.1891 0.7454 -0.6392 -vn -0.3207 0.2481 -0.9141 -vn -0.6741 -0.3702 -0.6392 -vn -0.2935 -0.6649 0.6868 -vn -0.6611 -0.7499 0.0230 -vn 0.2165 -0.1675 0.9618 -vn 0.5699 0.4510 0.6868 -vn 0.5600 0.8282 0.0230 -vn 0.1923 0.7432 -0.6409 -vn -0.3176 0.2457 -0.9158 -vn -0.6711 -0.3727 -0.6408 -vn -0.2964 -0.6624 0.6880 -vn 0.2133 -0.1651 0.9629 -vn 0.5667 0.4533 0.6880 -vn -0.6640 -0.7473 0.0244 -vn 0.5666 0.4534 0.6881 -vn -0.6740 -0.3702 -0.6392 -vn -0.6610 -0.7500 0.0230 -vn 0.2164 -0.1675 0.9618 -vn 0.5699 0.4511 0.6868 -vn 0.5599 0.8282 0.0230 -vn 0.1925 0.7432 -0.6408 -vn -0.3175 0.2458 -0.9159 -vn -0.6710 -0.3728 -0.6409 -vn -0.2892 -0.7089 0.6433 -vn -0.7506 -0.6597 0.0372 -vn 0.3158 -0.3169 0.8943 -vn 0.7100 0.2866 0.6433 -vn 0.6624 0.7482 0.0372 -vn 0.2010 0.7974 -0.5689 -vn -0.4040 0.4055 -0.8200 -vn -0.7982 -0.1981 -0.5689 -vn -0.2870 -0.7114 0.6415 -vn -0.7485 -0.6622 0.0352 -vn 0.3182 -0.3193 0.8926 -vn 0.7125 0.2844 0.6415 -vn 0.6649 0.7461 0.0352 -vn 0.2034 0.7953 -0.5710 -vn -0.4018 0.4033 -0.8222 -vn -0.7961 -0.2004 -0.5710 -vn -0.2854 -0.7132 0.6402 -vn -0.7470 -0.6639 0.0338 -vn 0.3199 -0.3211 0.8914 -vn 0.7143 0.2828 0.6402 -vn 0.6667 0.7446 0.0338 -vn 0.2051 0.7938 -0.5725 -vn -0.4002 0.4017 -0.8237 -vn -0.7946 -0.2022 -0.5725 -vn -0.2885 -0.7097 0.6427 -vn -0.7499 -0.6605 0.0365 -vn 0.3166 -0.3177 0.8938 -vn 0.7108 0.2859 0.6427 -vn 0.6632 0.7475 0.0365 -vn 0.2018 0.7968 -0.5696 -vn -0.4033 0.4048 -0.8207 -vn -0.7975 -0.1989 -0.5696 -vn -0.2886 -0.7096 0.6428 -vn -0.7500 -0.6604 0.0366 -vn 0.3165 -0.3176 0.8938 -vn 0.7107 0.2860 0.6428 -vn 0.6631 0.7476 0.0366 -vn 0.2017 0.7968 -0.5695 -vn -0.4033 0.4048 -0.8206 -vn -0.7976 -0.1988 -0.5695 -vn -0.2861 -0.7124 0.6408 -vn -0.7477 -0.6632 0.0345 -vn 0.3191 -0.3203 0.8919 -vn 0.7135 0.2835 0.6408 -vn 0.6659 0.7452 0.0344 -vn 0.2043 0.7945 -0.5719 -vn -0.4009 0.4024 -0.8230 -vn -0.7952 -0.2014 -0.5719 -vn -0.7499 -0.6605 0.0366 -vn 0.2018 0.7967 -0.5696 -vn 0.3165 -0.3177 0.8938 -vn 0.6632 0.7476 0.0366 -vn 0.2018 0.7968 -0.5695 -vn -0.4034 0.4048 -0.8206 -vn 0.6660 0.7452 0.0345 -vn 0.2044 0.7945 -0.5719 -vn -0.7953 -0.2014 -0.5718 -vn 0.5908 0.4432 0.6741 -vn 0.5909 0.4432 0.6741 -vn 0.9432 0.3321 0.0038 -vn 0.9432 0.3322 0.0038 -vn -0.1052 0.2885 0.9517 -vn -0.1053 0.2885 0.9517 -vn -0.7374 -0.0414 0.6742 -vn -0.7375 -0.0414 0.6740 -vn -0.9355 -0.3533 0.0038 -vn -0.5832 -0.4643 -0.6665 -vn 0.1128 -0.3096 -0.9442 -vn 0.1128 -0.3096 -0.9441 -vn 0.7451 0.0203 -0.6667 -vn 0.7452 0.0203 -0.6666 -vn 0.5908 0.4437 0.6738 -vn 0.9431 0.3326 0.0036 -vn -0.1054 0.2890 0.9515 -vn -0.7378 -0.0409 0.6738 -vn -0.9357 -0.3527 0.0036 -vn -0.5834 -0.4638 -0.6667 -vn 0.1126 -0.3090 -0.9444 -vn 0.7450 0.0208 -0.6668 -vn 0.5907 0.4441 0.6737 -vn 0.9429 0.3331 0.0035 -vn -0.1054 0.2894 0.9514 -vn -0.7379 -0.0405 0.6737 -vn -0.9359 -0.3523 0.0034 -vn -0.5835 -0.4634 -0.6669 -vn 0.1126 -0.3087 -0.9445 -vn 0.7449 0.0212 -0.6669 -vn 0.5908 0.4434 0.6741 -vn 0.9432 0.3322 0.0037 -vn -0.1053 0.2886 0.9516 -vn -0.7376 -0.0412 0.6740 -vn -0.9356 -0.3531 0.0036 -vn -0.5832 -0.4642 -0.6666 -vn 0.1129 -0.3094 -0.9442 -vn 0.7452 0.0204 -0.6665 -vn 0.9432 0.3323 0.0038 -vn -0.7375 -0.0412 0.6741 -vn -0.9356 -0.3531 0.0037 -vn -0.5832 -0.4642 -0.6667 -vn 0.7451 0.0204 -0.6666 -vn 0.5906 0.4440 0.6739 -vn 0.9429 0.3330 0.0036 -vn -0.1054 0.2892 0.9514 -vn -0.7377 -0.0406 0.6739 -vn -0.9358 -0.3525 0.0036 -vn -0.5835 -0.4635 -0.6668 -vn 0.1127 -0.3088 -0.9444 -vn 0.7450 0.0210 -0.6668 -vn 0.5908 0.4433 0.6741 -vn -0.7375 -0.0413 0.6741 -vn -0.9356 -0.3531 0.0038 -vn -0.5834 -0.4641 -0.6666 -vn 0.1126 -0.3094 -0.9442 -vn 0.7451 0.0204 -0.6667 -vn -0.1054 0.2886 0.9516 -vn -0.7375 -0.0412 0.6740 -vn -0.9356 -0.3532 0.0037 -vn -0.5831 -0.4642 -0.6667 -vn 0.1127 -0.3094 -0.9442 -vn 0.7450 0.0203 -0.6668 -vn 0.5905 0.4440 0.6739 -vn 0.9429 0.3329 0.0036 -vn -0.1057 0.2893 0.9514 -vn -0.7378 -0.0406 0.6738 -vn -0.9358 -0.3525 0.0035 -vn -0.5832 -0.4636 -0.6670 -vn 0.1126 -0.3088 -0.9444 -vn 0.7447 0.0210 -0.6670 -vn 0.1784 0.8232 0.5389 -vn 0.1784 0.8232 0.5390 -vn 0.7701 0.6290 0.1062 -vn -0.4838 0.5001 0.7182 -vn -0.8287 -0.1511 0.5390 -vn -0.6541 -0.7489 0.1062 -vn -0.6542 -0.7489 0.1062 -vn -0.0625 -0.9431 -0.3267 -vn -0.0625 -0.9431 -0.3266 -vn 0.5998 -0.6199 -0.5059 -vn 0.9446 0.0312 -0.3266 -vn 0.1756 0.8271 0.5340 -vn 0.7678 0.6327 0.1008 -vn -0.4872 0.5036 0.7134 -vn -0.8324 -0.1481 0.5340 -vn -0.6577 -0.7465 0.1008 -vn -0.0655 -0.9409 -0.3324 -vn 0.5973 -0.6174 -0.5118 -vn 0.9425 0.0343 -0.3324 -vn 0.1735 0.8299 0.5302 -vn 0.7661 0.6354 0.0967 -vn -0.4898 0.5063 0.7098 -vn -0.8352 -0.1459 0.5302 -vn -0.6604 -0.7446 0.0967 -vn -0.0678 -0.9391 -0.3368 -vn 0.5955 -0.6155 -0.5163 -vn 0.9409 0.0367 -0.3368 -vn 0.1775 0.8246 0.5372 -vn 0.7693 0.6303 0.1043 -vn -0.4850 0.5013 0.7166 -vn -0.8300 -0.1501 0.5372 -vn -0.6554 -0.7480 0.1043 -vn -0.0635 -0.9423 -0.3287 -vn 0.5989 -0.6191 -0.5080 -vn 0.9439 0.0323 -0.3287 -vn 0.1777 0.8243 0.5376 -vn 0.7695 0.6300 0.1047 -vn -0.4847 0.5011 0.7169 -vn -0.8297 -0.1503 0.5376 -vn -0.6551 -0.7482 0.1047 -vn -0.0633 -0.9425 -0.3283 -vn 0.5991 -0.6193 -0.5076 -vn 0.9440 0.0321 -0.3282 -vn 0.1744 0.8287 0.5319 -vn 0.7669 0.6342 0.0985 -vn -0.4887 0.5051 0.7114 -vn -0.8340 -0.1469 0.5319 -vn -0.6593 -0.7454 0.0985 -vn -0.0668 -0.9399 -0.3349 -vn 0.5963 -0.6163 -0.5144 -vn 0.9416 0.0357 -0.3349 -vn -0.4850 0.5013 0.7165 -vn -0.0636 -0.9423 -0.3287 -vn -0.4848 0.5011 0.7169 -vn -0.8297 -0.1503 0.5375 -vn -0.0633 -0.9425 -0.3282 -vn 0.5991 -0.6192 -0.5076 -vn 0.9440 0.0321 -0.3283 -vn 0.1746 0.8286 0.5318 -vn -0.4886 0.5051 0.7114 -vn -0.8340 -0.1469 0.5318 -vn -0.6592 -0.7455 0.0985 -vn -0.0667 -0.9399 -0.3349 -vn 0.9416 0.0356 -0.3349 -vn 0.5897 -0.3856 0.7096 -vn 0.6984 -0.7149 0.0343 -vn 0.0908 0.1136 0.9894 -vn -0.5060 0.4903 0.7096 -vn -0.8512 0.5237 0.0343 -vn -0.7425 0.1944 -0.6410 -vn -0.2436 -0.3048 -0.9207 -vn 0.3532 -0.6814 -0.6410 -vn 0.5941 -0.3810 0.7084 -vn 0.7029 -0.7105 0.0326 -vn 0.0948 0.1186 0.9884 -vn -0.5025 0.4956 0.7084 -vn -0.8479 0.5291 0.0326 -vn -0.7392 0.1995 -0.6433 -vn -0.2398 -0.3001 -0.9233 -vn 0.3575 -0.6770 -0.6433 -vn 0.5974 -0.3775 0.7075 -vn 0.7063 -0.7073 0.0313 -vn 0.0978 0.1224 0.9876 -vn -0.4998 0.4996 0.7075 -vn -0.8455 0.5331 0.0313 -vn -0.7366 0.2033 -0.6450 -vn -0.2370 -0.2966 -0.9251 -vn 0.3606 -0.6737 -0.6450 -vn 0.5912 -0.3840 0.7092 -vn 0.7000 -0.7134 0.0337 -vn 0.0922 0.1154 0.9890 -vn -0.5048 0.4921 0.7092 -vn -0.8501 0.5256 0.0337 -vn -0.7413 0.1962 -0.6418 -vn -0.2423 -0.3031 -0.9216 -vn 0.3547 -0.6799 -0.6418 -vn 0.5909 -0.3843 0.7093 -vn 0.6997 -0.7137 0.0338 -vn 0.0919 0.1150 0.9891 -vn -0.5050 0.4918 0.7093 -vn -0.8503 0.5252 0.0338 -vn -0.7416 0.1958 -0.6417 -vn -0.2426 -0.3035 -0.9214 -vn 0.3544 -0.6802 -0.6417 -vn 0.5960 -0.3790 0.7079 -vn 0.7048 -0.7087 0.0318 -vn 0.0965 0.1208 0.9880 -vn -0.5010 0.4978 0.7079 -vn -0.8466 0.5313 0.0318 -vn -0.7377 0.2017 -0.6443 -vn -0.2383 -0.2981 -0.9243 -vn 0.3593 -0.6752 -0.6443 -vn -0.2423 -0.3032 -0.9216 -vn 0.6997 -0.7137 0.0339 -vn -0.5051 0.4918 0.7093 -vn -0.8503 0.5252 0.0339 -vn -0.7416 0.1958 -0.6416 -vn -0.2425 -0.3035 -0.9215 -vn 0.3545 -0.6802 -0.6416 -vn 0.5959 -0.3790 0.7080 -vn 0.7048 -0.7087 0.0319 -vn 0.0965 0.1207 0.9880 -vn -0.7378 0.2017 -0.6442 -vn 0.3594 -0.6751 -0.6442 -vn 0.0529 0.7034 0.7088 -vn 0.1145 0.9934 0.0057 -vn 0.1145 0.9934 0.0058 -vn 0.0065 -0.0002 1.0000 -vn 0.0025 -0.7054 0.7088 -vn 0.0432 -0.9990 0.0058 -vn 0.0432 -0.9990 0.0057 -vn 0.1048 -0.7091 -0.6973 -vn 0.1512 -0.0054 -0.9885 -vn 0.1552 0.6998 -0.6973 -vn 0.0488 0.7038 0.7087 -vn 0.1104 0.9939 0.0054 -vn 0.0024 -0.0001 1.0000 -vn -0.0016 -0.7055 0.7087 -vn 0.0391 -0.9992 0.0054 -vn 0.1008 -0.7092 -0.6978 -vn 0.1472 -0.0053 -0.9891 -vn 0.1512 0.7002 -0.6978 -vn 0.0458 0.7041 0.7086 -vn 0.1075 0.9942 0.0052 -vn -0.0007 0.0000 1.0000 -vn -0.0046 -0.7056 0.7086 -vn 0.0361 -0.9993 0.0052 -vn 0.0978 -0.7092 -0.6982 -vn 0.1442 -0.0052 -0.9895 -vn 0.1482 0.7004 -0.6982 -vn 0.0515 0.7036 0.7088 -vn 0.1131 0.9936 0.0057 -vn 0.0051 -0.0002 1.0000 -vn 0.0011 -0.7055 0.7087 -vn 0.0419 -0.9991 0.0057 -vn 0.1035 -0.7091 -0.6974 -vn 0.1499 -0.0054 -0.9887 -vn 0.1539 0.6999 -0.6975 -vn 0.0517 0.7036 0.7087 -vn 0.1133 0.9935 0.0057 -vn 0.0053 -0.0002 1.0000 -vn 0.0013 -0.7055 0.7087 -vn 0.0420 -0.9991 0.0057 -vn 0.1037 -0.7091 -0.6974 -vn 0.1501 -0.0054 -0.9887 -vn 0.1541 0.6999 -0.6974 -vn 0.0471 0.7040 0.7087 -vn 0.1088 0.9941 0.0053 -vn 0.0007 -0.0000 1.0000 -vn -0.0033 -0.7055 0.7087 -vn 0.0374 -0.9993 0.0053 -vn 0.0991 -0.7092 -0.6980 -vn 0.1455 -0.0052 -0.9893 -vn 0.1495 0.7003 -0.6980 -vn 0.0515 0.7036 0.7087 -vn 0.1131 0.9936 0.0056 -vn 0.0419 -0.9991 0.0056 -vn 0.1539 0.6999 -0.6974 -vn 0.1036 -0.7091 -0.6974 -vn 0.1500 -0.0054 -0.9887 -vn 0.0471 0.7040 0.7086 -vn 0.1088 0.9941 0.0054 -vn 0.0006 -0.0000 1.0000 -vn -0.0033 -0.7056 0.7086 -vn 0.0374 -0.9993 0.0054 -vn 0.5668 0.4811 0.6688 -vn 0.6520 0.7580 -0.0174 -vn 0.2688 -0.1396 0.9530 -vn -0.0675 -0.7404 0.6688 -vn -0.2450 -0.9694 -0.0174 -vn -0.1597 -0.6925 -0.7036 -vn 0.1383 -0.0718 -0.9878 -vn 0.4745 0.5290 -0.7036 -vn 0.5580 0.4877 0.6714 -vn 0.6434 0.7653 -0.0165 -vn 0.2592 -0.1346 0.9564 -vn -0.0779 -0.7370 0.6714 -vn -0.2559 -0.9666 -0.0165 -vn -0.1704 -0.6889 -0.7045 -vn 0.1283 -0.0667 -0.9895 -vn 0.4655 0.5357 -0.7045 -vn 0.5509 0.4929 0.6735 -vn 0.6365 0.7711 -0.0159 -vn 0.2515 -0.1306 0.9590 -vn -0.0863 -0.7342 0.6735 -vn -0.2646 -0.9642 -0.0159 -vn -0.1790 -0.6860 -0.7052 -vn 0.1204 -0.0625 -0.9908 -vn 0.4582 0.5410 -0.7052 -vn 0.5634 0.4836 0.6698 -vn 0.6487 0.7608 -0.0171 -vn 0.2651 -0.1376 0.9543 -vn -0.0715 -0.7391 0.6698 -vn -0.2492 -0.9683 -0.0170 -vn -0.1638 -0.6911 -0.7039 -vn 0.1345 -0.0698 -0.9885 -vn 0.4711 0.5316 -0.7039 -vn 0.5645 0.4828 0.6695 -vn 0.6498 0.7599 -0.0172 -vn 0.2663 -0.1383 0.9539 -vn -0.0701 -0.7395 0.6695 -vn -0.2478 -0.9687 -0.0172 -vn -0.1625 -0.6915 -0.7038 -vn 0.1357 -0.0705 -0.9882 -vn 0.4722 0.5307 -0.7038 -vn 0.5539 0.4907 0.6726 -vn 0.6395 0.7686 -0.0162 -vn 0.2548 -0.1323 0.9579 -vn -0.0827 -0.7354 0.6726 -vn -0.2608 -0.9652 -0.0162 -vn -0.1753 -0.6873 -0.7049 -vn 0.1238 -0.0643 -0.9902 -vn 0.4613 0.5388 -0.7049 -vn 0.6487 0.7608 -0.0170 -vn -0.0702 -0.7395 0.6695 -vn 0.4721 0.5308 -0.7038 -vn 0.5540 0.4906 0.6726 -vn -0.2609 -0.9652 -0.0162 -vn -0.1754 -0.6873 -0.7049 -vn 0.4612 0.5388 -0.7049 -vn -0.7775 -0.0640 0.6257 -vn -0.8913 0.4471 0.0752 -vn -0.1880 -0.4856 0.8537 -vn 0.5317 -0.5709 0.6257 -vn 0.5316 -0.5709 0.6257 -vn 0.9600 -0.2697 0.0752 -vn 0.9600 -0.2698 0.0752 -vn 0.8461 0.2413 -0.4752 -vn 0.2567 0.6630 -0.7032 -vn -0.4630 0.7482 -0.4752 -vn -0.7798 -0.0686 0.6223 -vn -0.8938 0.4428 0.0714 -vn -0.1900 -0.4906 0.8504 -vn 0.5302 -0.5759 0.6223 -vn 0.9589 -0.2745 0.0714 -vn 0.8450 0.2369 -0.4795 -vn 0.2551 0.6589 -0.7076 -vn -0.4651 0.7442 -0.4795 -vn -0.7815 -0.0721 0.6197 -vn -0.8956 0.4396 0.0685 -vn -0.1914 -0.4943 0.8480 -vn 0.5292 -0.5796 0.6197 -vn 0.9581 -0.2781 0.0685 -vn 0.8441 0.2336 -0.4826 -vn 0.2539 0.6558 -0.7109 -vn -0.4667 0.7412 -0.4826 -vn -0.7783 -0.0656 0.6245 -vn -0.8922 0.4456 0.0739 -vn -0.1887 -0.4874 0.8526 -vn 0.5311 -0.5726 0.6245 -vn 0.9596 -0.2714 0.0739 -vn 0.8457 0.2398 -0.4767 -vn 0.2562 0.6616 -0.7048 -vn -0.4637 0.7468 -0.4767 -vn -0.7781 -0.0653 0.6247 -vn -0.8920 0.4459 0.0741 -vn -0.1886 -0.4870 0.8528 -vn 0.5312 -0.5723 0.6247 -vn 0.9597 -0.2711 0.0741 -vn 0.8458 0.2401 -0.4764 -vn 0.2563 0.6618 -0.7045 -vn -0.4635 0.7471 -0.4764 -vn -0.7808 -0.0706 0.6208 -vn -0.8948 0.4410 0.0698 -vn -0.1908 -0.4927 0.8491 -vn 0.5296 -0.5780 0.6208 -vn 0.9585 -0.2766 0.0698 -vn 0.8445 0.2351 -0.4812 -vn 0.2544 0.6572 -0.7095 -vn -0.4660 0.7425 -0.4812 -vn -0.1888 -0.4874 0.8525 -vn -0.1887 -0.4870 0.8528 -vn 0.9597 -0.2710 0.0741 -vn -0.7807 -0.0706 0.6209 -vn -0.8947 0.4411 0.0697 -vn -0.1907 -0.4927 0.8490 -vn 0.5297 -0.5780 0.6208 -vn 0.9585 -0.2765 0.0697 -vn 0.8445 0.2350 -0.4812 -vn 0.2546 0.6571 -0.7095 -vn -0.4658 0.7426 -0.4812 -vn -0.1592 -0.7217 0.6736 -vn -0.4961 -0.8683 0.0021 -vn -0.4960 -0.8683 0.0022 -vn 0.2675 -0.1506 0.9517 -vn 0.5343 0.5106 0.6736 -vn 0.5343 0.5107 0.6736 -vn 0.4847 0.8747 0.0022 -vn 0.4848 0.8746 0.0022 -vn 0.1478 0.7281 -0.6693 -vn 0.1478 0.7282 -0.6693 -vn -0.2790 0.1570 -0.9474 -vn -0.5456 -0.5042 -0.6693 -vn -0.5456 -0.5043 -0.6693 -vn -0.1590 -0.7219 0.6735 -vn -0.4958 -0.8684 0.0021 -vn 0.2678 -0.1507 0.9516 -vn 0.5346 0.5105 0.6735 -vn 0.4850 0.8745 0.0020 -vn 0.1481 0.7280 -0.6694 -vn -0.2787 0.1568 -0.9475 -vn -0.5454 -0.5044 -0.6694 -vn -0.1721 -0.7190 0.6733 -vn -0.5180 -0.8553 0.0084 -vn 0.2726 -0.1608 0.9486 -vn 0.5553 0.4962 0.6674 -vn 0.5063 0.8623 -0.0087 -vn 0.1549 0.7190 -0.6775 -vn -0.2891 0.1557 -0.9445 -vn -0.5663 -0.4944 -0.6595 -vn -0.1807 -0.7094 0.6812 -vn -0.5418 -0.8403 0.0199 -vn 0.2837 -0.1606 0.9454 -vn 0.5783 0.4845 0.6563 -vn 0.5307 0.8474 -0.0160 -vn 0.1689 0.7155 -0.6779 -vn -0.2953 0.1659 -0.9409 -vn -0.5892 -0.4782 -0.6513 -vn -0.1399 -0.7165 0.6834 -vn -0.4742 -0.8804 0.0018 -vn 0.2697 -0.1292 0.9542 -vn 0.5163 0.5275 0.6747 -vn 0.4664 0.8844 0.0161 -vn 0.1486 0.7427 -0.6529 -vn -0.2621 0.1710 -0.9498 -vn -0.5253 -0.5078 -0.6828 -vn -0.0636 -0.7445 0.6645 -vn -0.3046 -0.9513 -0.0479 -vn 0.2076 -0.0992 0.9732 -vn 0.3530 0.5947 0.7222 -vn 0.2964 0.9526 0.0689 -vn 0.0695 0.7774 -0.6252 -vn -0.2038 0.1524 -0.9671 -vn -0.3634 -0.5730 -0.7346 -vn 0.0140 -0.7650 0.6439 -vn -0.1226 -0.9886 -0.0877 -vn 0.1368 -0.0914 0.9864 -vn 0.1758 0.6272 0.7588 -vn 0.1116 0.9883 0.1040 -vn -0.0200 0.7908 -0.6118 -vn -0.1452 0.1333 -0.9804 -vn -0.1893 -0.6112 -0.7685 -vn 0.0466 -0.7810 0.6227 -vn -0.0440 -0.9933 -0.1069 -vn 0.1062 -0.1104 0.9882 -vn 0.0996 0.6246 0.7746 -vn 0.0308 0.9937 0.1080 -vn -0.0601 0.7806 -0.6221 -vn -0.1195 0.1095 -0.9868 -vn -0.1128 -0.6247 -0.7727 -vn 0.0442 -0.7882 0.6139 -vn -0.0475 -0.9927 -0.1108 -vn 0.1072 -0.1227 0.9866 -vn 0.1032 0.6200 0.7778 -vn 0.0338 0.9941 0.1034 -vn -0.0595 0.7732 -0.6313 -vn -0.1208 0.0976 -0.9879 -vn -0.1153 -0.6287 -0.7691 -vn 0.3153 -0.6290 0.7105 -vn 0.3100 -0.6272 0.7145 -vn 0.2598 -0.9650 0.0365 -vn 0.2657 -0.9632 0.0404 -vn 0.1354 0.0475 0.9896 -vn 0.1291 0.0582 0.9899 -vn -0.1745 0.6840 0.7083 -vn -0.1788 0.6924 0.6990 -vn -0.4338 0.9008 0.0167 -vn -0.4329 0.9014 0.0103 -vn -0.4851 0.5572 -0.6739 -vn -0.4834 0.5620 -0.6712 -vn -0.2971 -0.1389 -0.9447 -vn -0.3006 -0.1265 -0.9453 -vn 0.0144 -0.7659 -0.6428 -vn 0.0076 -0.7590 -0.6510 -vn 0.3746 -0.6019 0.7053 -vn 0.3217 -0.9467 0.0136 -vn 0.1545 0.0823 0.9845 -vn -0.2030 0.6899 0.6949 -vn -0.4874 0.8729 0.0212 -vn -0.5384 0.5382 -0.6484 -vn -0.3275 -0.1251 -0.9365 -vn 0.0282 -0.7428 -0.6689 -vn 0.5296 -0.5306 0.6618 -vn 0.4722 -0.8808 -0.0352 -vn 0.2227 0.1124 0.9684 -vn -0.2519 0.6516 0.7155 -vn -0.6158 0.7845 0.0734 -vn -0.6699 0.4498 -0.5906 -vn -0.3846 -0.1660 -0.9080 -vn 0.0867 -0.7207 -0.6879 -vn 0.6660 -0.4396 0.6026 -vn 0.6054 -0.7910 -0.0889 -vn 0.2864 0.1390 0.9480 -vn -0.2930 0.5926 0.7504 -vn -0.7319 0.6659 0.1449 -vn -0.7894 0.3278 -0.5191 -vn -0.4337 -0.2322 -0.8706 -vn 0.1425 -0.6992 -0.7006 -vn 0.7226 -0.3951 0.5672 -vn 0.6623 -0.7412 -0.1096 -vn 0.3271 0.1442 0.9339 -vn -0.2917 0.5607 0.7749 -vn -0.7703 0.6103 0.1849 -vn -0.8304 0.2652 -0.4901 -vn -0.4370 -0.2736 -0.8569 -vn 0.1816 -0.6910 -0.6997 -vn 0.7095 -0.4097 0.5733 -vn 0.6501 -0.7533 -0.0996 -vn 0.3266 0.1367 0.9352 -vn -0.2794 0.5696 0.7730 -vn -0.7541 0.6327 0.1759 -vn -0.8145 0.2852 -0.5052 -vn -0.4243 -0.2665 -0.8654 -vn 0.1826 -0.6954 -0.6950 -vn 0.6879 -0.4278 0.5862 -vn 0.6285 -0.7725 -0.0902 -vn 0.3106 0.1303 0.9416 -vn -0.2831 0.5753 0.7674 -vn -0.7451 0.6462 0.1653 -vn -0.8046 0.3011 -0.5119 -vn -0.4265 -0.2575 -0.8670 -vn 0.1672 -0.7022 -0.6921 -vn 0.6875 -0.4281 0.5866 -vn 0.6281 -0.7729 -0.0902 -vn 0.3099 0.1305 0.9418 -vn -0.2836 0.5754 0.7671 -vn -0.7452 0.6461 0.1651 -vn -0.8046 0.3013 -0.5117 -vn -0.4270 -0.2572 -0.8669 -vn 0.1665 -0.7022 -0.6923 -vn 0.6914 -0.4245 0.5846 -vn 0.6319 -0.7695 -0.0925 -vn 0.3136 0.1343 0.9400 -vn -0.2804 0.5794 0.7653 -vn -0.7420 0.6503 0.1629 -vn -0.8015 0.3053 -0.5142 -vn -0.4238 -0.2536 -0.8695 -vn 0.1700 -0.6987 -0.6949 -vn -0.1601 -0.7402 0.6530 -vn -0.6619 -0.7446 0.0863 -vn 0.3781 -0.2624 0.8878 -vn 0.3782 -0.2624 0.8878 -vn 0.6374 0.4090 0.6530 -vn 0.4659 0.8806 0.0863 -vn -0.0360 0.8763 -0.4804 -vn -0.5742 0.3985 -0.7152 -vn -0.8335 -0.2729 -0.4804 -vn -0.8335 -0.2729 -0.4805 -vn -0.1552 -0.7445 0.6493 -vn -0.6576 -0.7489 0.0819 -vn 0.3836 -0.2662 0.8843 -vn 0.6432 0.4059 0.6493 -vn 0.4714 0.8781 0.0819 -vn -0.0310 0.8737 -0.4854 -vn -0.5698 0.3954 -0.7204 -vn -0.8294 -0.2767 -0.4854 -vn -0.1515 -0.7478 0.6464 -vn -0.6543 -0.7521 0.0786 -vn 0.3878 -0.2691 0.8816 -vn 0.6475 0.4036 0.6464 -vn 0.4756 0.8761 0.0786 -vn -0.0272 0.8718 -0.4891 -vn -0.5664 0.3931 -0.7243 -vn -0.8262 -0.2796 -0.4891 -vn -0.1583 -0.7418 0.6517 -vn -0.6604 -0.7461 0.0847 -vn 0.3801 -0.2638 0.8865 -vn 0.6395 0.4079 0.6517 -vn 0.4679 0.8797 0.0847 -vn -0.0342 0.8754 -0.4822 -vn -0.5727 0.3974 -0.7170 -vn -0.8320 -0.2742 -0.4822 -vn -0.1587 -0.7414 0.6520 -vn -0.6608 -0.7458 0.0851 -vn 0.3797 -0.2635 0.8868 -vn 0.6390 0.4081 0.6520 -vn 0.4674 0.8799 0.0851 -vn -0.0346 0.8756 -0.4818 -vn -0.5730 0.3976 -0.7166 -vn -0.8324 -0.2739 -0.4818 -vn -0.1531 -0.7464 0.6477 -vn -0.6557 -0.7507 0.0801 -vn 0.3859 -0.2678 0.8828 -vn 0.6456 0.4046 0.6477 -vn 0.4738 0.8770 0.0801 -vn -0.0289 0.8726 -0.4875 -vn -0.5679 0.3941 -0.7226 -vn -0.8276 -0.2783 -0.4875 -vn -0.6604 -0.7461 0.0848 -vn 0.4678 0.8798 0.0848 -vn -0.0343 0.8754 -0.4822 -vn -0.1586 -0.7414 0.6520 -vn -0.6607 -0.7458 0.0851 -vn 0.6390 0.4081 0.6521 -vn 0.4674 0.8800 0.0851 -vn -0.5730 0.3977 -0.7166 -vn -0.8323 -0.2739 -0.4818 -vn -0.1530 -0.7463 0.6477 -vn -0.6557 -0.7508 0.0801 -vn 0.6455 0.4046 0.6478 -vn -0.0287 0.8727 -0.4875 -vn -0.5678 0.3942 -0.7227 -vn -0.8275 -0.2783 -0.4875 -vn -0.1871 -0.6831 0.7060 -vn -0.4360 -0.8998 0.0184 -vn 0.1265 -0.0489 0.9908 -vn 0.3211 0.6313 0.7060 -vn 0.2828 0.9590 0.0184 -vn 0.0338 0.7424 -0.6691 -vn -0.2798 0.1082 -0.9539 -vn -0.4744 -0.5720 -0.6691 -vn -0.1832 -0.6849 0.7053 -vn -0.4322 -0.9016 0.0175 -vn 0.1306 -0.0505 0.9902 -vn 0.3253 0.6299 0.7053 -vn 0.2868 0.9578 0.0175 -vn 0.0378 0.7411 -0.6704 -vn -0.2759 0.1067 -0.9552 -vn -0.4706 -0.5737 -0.6704 -vn -0.1803 -0.6862 0.7047 -vn -0.4294 -0.9030 0.0168 -vn 0.1335 -0.0516 0.9897 -vn 0.3283 0.6290 0.7047 -vn 0.2898 0.9569 0.0168 -vn 0.0408 0.7401 -0.6712 -vn -0.2731 0.1056 -0.9562 -vn -0.4678 -0.5750 -0.6712 -vn -0.1858 -0.6837 0.7057 -vn -0.4348 -0.9004 0.0181 -vn 0.1279 -0.0494 0.9906 -vn 0.3225 0.6308 0.7057 -vn 0.2841 0.9586 0.0181 -vn 0.0352 0.7419 -0.6695 -vn -0.2785 0.1077 -0.9544 -vn -0.4731 -0.5726 -0.6695 -vn -0.1859 -0.6836 0.7058 -vn -0.4349 -0.9003 0.0181 -vn 0.1277 -0.0494 0.9906 -vn 0.3223 0.6309 0.7058 -vn 0.2839 0.9587 0.0181 -vn 0.0350 0.7420 -0.6695 -vn -0.2787 0.1078 -0.9543 -vn -0.4733 -0.5725 -0.6695 -vn -0.1815 -0.6856 0.7050 -vn -0.4306 -0.9024 0.0171 -vn 0.1322 -0.0511 0.9899 -vn 0.3269 0.6294 0.7050 -vn 0.2885 0.9573 0.0171 -vn 0.0395 0.7406 -0.6708 -vn -0.2743 0.1061 -0.9558 -vn -0.4690 -0.5745 -0.6708 -vn 0.1278 -0.0494 0.9906 -vn 0.3224 0.6309 0.7057 -vn 0.2840 0.9587 0.0181 -vn 0.1324 -0.0511 0.9899 -vn 0.3271 0.6294 0.7049 -vn 0.2886 0.9573 0.0171 -vn -0.4690 -0.5744 -0.6708 -vn 0.2122 -0.6672 0.7140 -vn 0.0457 -0.9973 0.0568 -vn 0.1618 0.0342 0.9862 -vn 0.1619 0.0342 0.9862 -vn -0.0758 0.6960 0.7140 -vn -0.3616 0.9306 0.0568 -vn -0.5281 0.6005 -0.6004 -vn -0.4778 -0.1009 -0.8727 -vn -0.2401 -0.7628 -0.6004 -vn 0.2206 -0.6665 0.7121 -vn 0.0538 -0.9971 0.0540 -vn 0.1702 0.0359 0.9848 -vn -0.0678 0.6987 0.7121 -vn -0.3540 0.9337 0.0540 -vn -0.5208 0.6031 -0.6042 -vn -0.4704 -0.0994 -0.8769 -vn -0.2324 -0.7622 -0.6042 -vn 0.2270 -0.6659 0.7107 -vn 0.0601 -0.9968 0.0518 -vn 0.1765 0.0373 0.9836 -vn -0.0617 0.7008 0.7107 -vn -0.3482 0.9360 0.0518 -vn -0.5151 0.6050 -0.6071 -vn -0.4647 -0.0982 -0.8800 -vn -0.2264 -0.7617 -0.6071 -vn 0.2152 -0.6670 0.7133 -vn 0.0486 -0.9973 0.0558 -vn 0.1649 0.0348 0.9857 -vn -0.0730 0.6970 0.7133 -vn -0.3589 0.9317 0.0558 -vn -0.5255 0.6014 -0.6018 -vn -0.4751 -0.1004 -0.8742 -vn -0.2373 -0.7626 -0.6018 -vn 0.2144 -0.6670 0.7135 -vn 0.0479 -0.9973 0.0560 -vn 0.1641 0.0347 0.9858 -vn -0.0737 0.6968 0.7135 -vn -0.3596 0.9314 0.0560 -vn -0.5261 0.6012 -0.6015 -vn -0.4758 -0.1005 -0.8738 -vn -0.2380 -0.7626 -0.6015 -vn 0.2242 -0.6662 0.7113 -vn 0.0574 -0.9970 0.0527 -vn 0.1738 0.0367 0.9841 -vn -0.0644 0.6999 0.7113 -vn -0.3507 0.9350 0.0527 -vn -0.5176 0.6042 -0.6059 -vn -0.4671 -0.0987 -0.8787 -vn -0.2290 -0.7619 -0.6058 -vn 0.1648 0.0348 0.9857 -vn -0.0729 0.6970 0.7133 -vn -0.4752 -0.1004 -0.8742 -vn -0.2374 -0.7626 -0.6018 -vn -0.0737 0.6967 0.7135 -vn -0.5262 0.6011 -0.6015 -vn -0.2381 -0.7626 -0.6015 -vn 0.2242 -0.6661 0.7114 -vn 0.1739 0.0367 0.9841 -vn -0.0643 0.6998 0.7114 -vn -0.3508 0.9350 0.0528 -vn -0.5177 0.6041 -0.6059 -vn -0.2290 -0.7618 -0.6060 -vn 0.7484 0.0278 0.6626 -vn 0.7573 0.0214 0.6527 -vn 0.9070 -0.4179 0.0520 -vn 0.9056 -0.4195 0.0624 -vn 0.1315 0.3849 0.9135 -vn 0.1416 0.3757 0.9159 -vn -0.5762 0.4495 0.6826 -vn -0.5753 0.4386 0.6905 -vn -0.9755 0.1906 0.1100 -vn -0.9779 0.1774 0.1109 -vn -0.8402 -0.2470 -0.4827 -vn -0.8334 -0.2579 -0.4888 -vn -0.2345 -0.6138 -0.7538 -vn -0.2207 -0.6150 -0.7570 -vn 0.4951 -0.6881 -0.5304 -vn 0.5014 -0.6818 -0.5326 -vn 0.7574 0.0048 0.6529 -vn 0.8844 -0.4602 0.0781 -vn 0.1620 0.4040 0.9003 -vn -0.5603 0.4969 0.6627 -vn -0.9715 0.2257 0.0728 -vn -0.8239 -0.2455 -0.5108 -vn -0.2187 -0.6364 -0.7397 -vn 0.4829 -0.7234 -0.4934 -vn 0.7237 -0.0226 0.6898 -vn 0.8054 -0.5639 0.1827 -vn 0.1854 0.4850 0.8546 -vn -0.5089 0.6529 0.5610 -vn -0.9301 0.3663 -0.0269 -vn -0.8181 -0.1944 -0.5412 -vn -0.2632 -0.6870 -0.6774 -vn 0.4010 -0.8352 -0.3763 -vn 0.6674 -0.0405 0.7436 -vn 0.6920 -0.6503 0.3135 -vn 0.2069 0.5583 0.8034 -vn -0.4326 0.7867 0.4403 -vn -0.8606 0.4914 -0.1335 -vn -0.8140 -0.1427 -0.5630 -vn -0.3375 -0.7266 -0.5985 -vn 0.2801 -0.9305 -0.2359 -vn 0.6365 -0.0246 0.7709 -vn 0.6367 -0.6714 0.3792 -vn 0.2115 0.6031 0.7691 -vn -0.3899 0.8418 0.3733 -vn -0.8146 0.5503 -0.1833 -vn -0.8129 -0.1000 -0.5738 -vn -0.3858 -0.7258 -0.5695 -vn 0.2140 -0.9611 -0.1748 -vn 0.6451 -0.0128 0.7640 -vn 0.6582 -0.6595 0.3630 -vn 0.2054 0.6038 0.7702 -vn -0.4002 0.8325 0.3831 -vn -0.8212 0.5443 -0.1712 -vn -0.8142 -0.0949 -0.5728 -vn -0.3793 -0.7160 -0.5861 -vn 0.2324 -0.9522 -0.1983 -vn 0.6482 -0.0217 0.7611 -vn 0.6689 -0.6566 0.3485 -vn 0.1977 0.5862 0.7856 -vn -0.4181 0.8114 0.4083 -vn -0.8392 0.5228 -0.1498 -vn -0.8194 -0.1111 -0.5624 -vn -0.3696 -0.7196 -0.5878 -vn 0.2471 -0.9458 -0.2105 -vn 0.6483 -0.0228 0.7610 -vn 0.6688 -0.6569 0.3481 -vn 0.1980 0.5851 0.7865 -vn -0.4186 0.8106 0.4095 -vn -0.8400 0.5216 -0.1492 -vn -0.8194 -0.1123 -0.5621 -vn -0.3690 -0.7202 -0.5874 -vn 0.2474 -0.9458 -0.2104 -vn 0.6543 -0.0188 0.7560 -vn 0.6748 -0.6537 0.3426 -vn 0.2036 0.5898 0.7815 -vn -0.4139 0.8157 0.4041 -vn -0.8360 0.5263 -0.1554 -vn -0.8153 -0.1084 -0.5688 -vn -0.3643 -0.7171 -0.5942 -vn 0.2529 -0.9429 -0.2166 -vn -0.1540 0.8996 0.4088 -vn 0.5574 0.8084 0.1895 -vn 0.5573 0.8084 0.1895 -vn -0.7433 0.4448 0.4996 -vn -0.8655 -0.2895 0.4088 -vn -0.8655 -0.2896 0.4088 -vn -0.4489 -0.8733 0.1895 -vn -0.4488 -0.8733 0.1895 -vn 0.2625 -0.9645 -0.0298 -vn 0.8519 -0.5097 -0.1206 -vn 0.9740 0.2246 -0.0298 -vn -0.1570 0.9030 0.4000 -vn 0.5557 0.8116 0.1803 -vn -0.7476 0.4473 0.4910 -vn -0.8700 -0.2885 0.4000 -vn -0.4525 -0.8734 0.1803 -vn 0.2603 -0.9647 -0.0395 -vn 0.8508 -0.5091 -0.1305 -vn 0.9732 0.2267 -0.0394 -vn -0.1594 0.9056 0.3930 -vn 0.5544 0.8141 0.1730 -vn -0.7508 0.4493 0.4842 -vn -0.8734 -0.2876 0.3930 -vn -0.4553 -0.8734 0.1730 -vn 0.2585 -0.9649 -0.0471 -vn 0.8499 -0.5085 -0.1382 -vn 0.9724 0.2283 -0.0471 -vn -0.1551 0.9008 0.4055 -vn 0.5568 0.8096 0.1861 -vn -0.7449 0.4457 0.4964 -vn -0.8672 -0.2892 0.4055 -vn -0.4502 -0.8733 0.1861 -vn 0.2617 -0.9646 -0.0334 -vn 0.8515 -0.5095 -0.1243 -vn 0.9737 0.2254 -0.0334 -vn -0.1548 0.9005 0.4064 -vn 0.5569 0.8092 0.1871 -vn -0.7445 0.4455 0.4973 -vn -0.8667 -0.2893 0.4064 -vn -0.4498 -0.8733 0.1871 -vn 0.2619 -0.9646 -0.0323 -vn 0.8516 -0.5095 -0.1232 -vn 0.9738 0.2252 -0.0323 -vn -0.1584 0.9045 0.3960 -vn 0.5550 0.8130 0.1761 -vn -0.7494 0.4484 0.4871 -vn -0.8719 -0.2880 0.3960 -vn -0.4541 -0.8734 0.1761 -vn 0.2593 -0.9648 -0.0438 -vn 0.8503 -0.5088 -0.1349 -vn 0.9728 0.2276 -0.0438 -vn -0.1552 0.9008 0.4055 -vn 0.5567 0.8096 0.1861 -vn -0.7445 0.4454 0.4973 -vn -0.8667 -0.2893 0.4065 -vn 0.2619 -0.9645 -0.0323 -vn -0.1583 0.9045 0.3960 -vn 0.5549 0.8130 0.1761 -vn -0.8719 -0.2881 0.3960 -vn -0.4542 -0.8733 0.1761 -vn 0.2594 -0.9648 -0.0438 -vn 0.8503 -0.5087 -0.1349 -vn 0.9728 0.2275 -0.0438 -vn -0.2992 0.7387 0.6040 -vn -0.7099 0.7033 -0.0372 -vn -0.7099 0.7033 -0.0371 -vn 0.3176 0.3780 0.8696 -vn 0.7792 -0.1674 0.6040 -vn 0.8151 -0.5781 -0.0372 -vn 0.4044 -0.6135 -0.6783 -vn -0.2125 -0.2528 -0.9439 -vn -0.2124 -0.2528 -0.9439 -vn -0.6740 0.2926 -0.6783 -vn -0.3021 0.7357 0.6062 -vn -0.7130 0.7003 -0.0352 -vn 0.3150 0.3749 0.8719 -vn 0.7768 -0.1707 0.6062 -vn 0.8127 -0.5816 -0.0352 -vn 0.4018 -0.6170 -0.6767 -vn -0.2152 -0.2562 -0.9424 -vn -0.6770 0.2895 -0.6767 -vn -0.3042 0.7335 0.6078 -vn -0.7152 0.6981 -0.0338 -vn 0.3131 0.3727 0.8736 -vn 0.7750 -0.1731 0.6078 -vn 0.8110 -0.5841 -0.0338 -vn 0.3999 -0.6195 -0.6755 -vn -0.2173 -0.2586 -0.9412 -vn -0.6792 0.2872 -0.6755 -vn -0.3002 0.7377 0.6048 -vn -0.7110 0.7023 -0.0365 -vn 0.3168 0.3770 0.8704 -vn 0.7784 -0.1685 0.6047 -vn 0.8143 -0.5792 -0.0365 -vn 0.4035 -0.6146 -0.6778 -vn -0.2133 -0.2539 -0.9434 -vn -0.6750 0.2916 -0.6778 -vn -0.3000 0.7378 0.6047 -vn -0.7108 0.7024 -0.0366 -vn 0.3169 0.3771 0.8703 -vn 0.7785 -0.1683 0.6047 -vn 0.8145 -0.5791 -0.0366 -vn 0.4037 -0.6145 -0.6779 -vn -0.2132 -0.2538 -0.9435 -vn -0.6748 0.2917 -0.6779 -vn -0.3032 0.7345 0.6071 -vn -0.7142 0.6991 -0.0344 -vn 0.3139 0.3736 0.8728 -vn 0.7758 -0.1721 0.6071 -vn 0.8118 -0.5830 -0.0344 -vn 0.4008 -0.6184 -0.6760 -vn -0.2164 -0.2576 -0.9417 -vn -0.6783 0.2882 -0.6760 -vn -0.3001 0.7377 0.6048 -vn 0.4036 -0.6146 -0.6778 -vn -0.2998 0.7379 0.6047 -vn -0.7107 0.7025 -0.0365 -vn 0.3170 0.3771 0.8702 -vn 0.7785 -0.1684 0.6046 -vn 0.8144 -0.5791 -0.0366 -vn 0.4036 -0.6145 -0.6779 -vn -0.6749 0.2917 -0.6779 -vn -0.3029 0.7346 0.6071 -vn -0.7140 0.6993 -0.0343 -vn 0.3141 0.3736 0.8728 -vn 0.7758 -0.1722 0.6071 -vn 0.8117 -0.5831 -0.0344 -vn 0.4006 -0.6184 -0.6760 -vn -0.2165 -0.2576 -0.9417 -vn -0.6783 0.2881 -0.6759 -vn 0.6843 -0.1655 0.7102 -vn 0.9142 -0.4044 0.0260 -vn 0.9142 -0.4043 0.0260 -vn 0.0339 0.1078 0.9936 -vn -0.6560 0.2555 0.7102 -vn -0.9812 0.1910 0.0260 -vn -0.7513 -0.0478 -0.6582 -vn -0.1009 -0.3212 -0.9416 -vn 0.5890 -0.4688 -0.6582 -vn 0.5890 -0.4689 -0.6582 -vn 0.6865 -0.1601 0.7093 -vn 0.9166 -0.3991 0.0247 -vn 0.0356 0.1134 0.9929 -vn -0.6547 0.2612 0.7093 -vn -0.9802 0.1967 0.0247 -vn -0.7501 -0.0423 -0.6600 -vn -0.0992 -0.3159 -0.9436 -vn 0.5911 -0.4636 -0.6600 -vn 0.6881 -0.1561 0.7087 -vn 0.9183 -0.3952 0.0237 -vn 0.0369 0.1176 0.9924 -vn -0.6537 0.2654 0.7087 -vn -0.9793 0.2009 0.0236 -vn -0.7491 -0.0382 -0.6613 -vn -0.0980 -0.3119 -0.9451 -vn 0.5927 -0.4597 -0.6613 -vn 0.6850 -0.1637 0.7099 -vn 0.9150 -0.4026 0.0255 -vn 0.0345 0.1097 0.9934 -vn -0.6556 0.2574 0.7099 -vn -0.9809 0.1930 0.0255 -vn -0.7509 -0.0460 -0.6588 -vn -0.1003 -0.3193 -0.9423 -vn 0.5897 -0.4671 -0.6589 -vn 0.6849 -0.1640 0.7099 -vn 0.9149 -0.4029 0.0256 -vn 0.0344 0.1094 0.9934 -vn -0.6557 0.2571 0.7099 -vn -0.9809 0.1926 0.0256 -vn -0.7510 -0.0463 -0.6587 -vn -0.1005 -0.3197 -0.9422 -vn 0.5896 -0.4674 -0.6587 -vn 0.6874 -0.1578 0.7089 -vn 0.9175 -0.3969 0.0241 -vn 0.0364 0.1158 0.9926 -vn -0.6541 0.2636 0.7090 -vn -0.9797 0.1990 0.0241 -vn -0.7496 -0.0400 -0.6607 -vn -0.0986 -0.3136 -0.9444 -vn 0.5920 -0.4615 -0.6608 -vn 0.6850 -0.1637 0.7100 -vn 0.0344 0.1097 0.9934 -vn -0.6555 0.2574 0.7099 -vn -0.7509 -0.0460 -0.6589 -vn -0.1004 -0.3193 -0.9423 -vn 0.0343 0.1094 0.9934 -vn -0.7509 -0.0463 -0.6588 -vn -0.1004 -0.3197 -0.9422 -vn 0.5895 -0.4674 -0.6588 -vn 0.6876 -0.1577 0.7088 -vn 0.9176 -0.3969 0.0240 -vn -0.6542 0.2636 0.7089 -vn -0.7493 -0.0401 -0.6610 -vn -0.0984 -0.3136 -0.9444 -vn 0.5918 -0.4615 -0.6609 -vn -0.7138 -0.2465 0.6556 -vn -0.7139 -0.2465 0.6554 -vn -0.9995 0.0323 0.0023 -vn -0.9995 0.0322 0.0024 -vn -0.0100 -0.3774 0.9260 -vn -0.0101 -0.3774 0.9260 -vn 0.6997 -0.2839 0.6556 -vn 0.6998 -0.2839 0.6555 -vn 0.9998 -0.0206 0.0025 -vn 0.9998 -0.0206 0.0024 -vn 0.7142 0.2581 -0.6507 -vn 0.7142 0.2581 -0.6506 -vn 0.0102 0.3891 -0.9212 -vn 0.0103 0.3891 -0.9212 -vn -0.6995 0.2955 -0.6507 -vn -0.6995 0.2955 -0.6506 -vn -0.7140 -0.2467 0.6552 -vn -0.9995 0.0319 0.0023 -vn -0.0101 -0.3777 0.9259 -vn 0.6999 -0.2841 0.6553 -vn 0.9998 -0.0209 0.0023 -vn 0.7142 0.2578 -0.6508 -vn 0.0102 0.3887 -0.9213 -vn -0.6996 0.2952 -0.6507 -vn -0.7139 -0.2470 0.6553 -vn -0.9995 0.0317 0.0023 -vn -0.0098 -0.3779 0.9258 -vn 0.6999 -0.2843 0.6552 -vn 0.9998 -0.0212 0.0024 -vn 0.7141 0.2576 -0.6509 -vn 0.0102 0.3885 -0.9214 -vn -0.6995 0.2950 -0.6509 -vn -0.7139 -0.2466 0.6554 -vn -0.0097 -0.3775 0.9260 -vn 0.7000 -0.2839 0.6553 -vn 0.9998 -0.0207 0.0025 -vn 0.7142 0.2580 -0.6506 -vn 0.0103 0.3890 -0.9212 -vn -0.6996 0.2954 -0.6507 -vn -0.7140 -0.2465 0.6553 -vn -0.9995 0.0321 0.0024 -vn -0.0099 -0.3775 0.9260 -vn 0.6999 -0.2839 0.6553 -vn 0.9998 -0.0207 0.0024 -vn 0.7143 0.2580 -0.6506 -vn 0.0102 0.3890 -0.9212 -vn -0.6997 0.2953 -0.6505 -vn -0.7140 -0.2469 0.6552 -vn -0.9995 0.0318 0.0022 -vn -0.0101 -0.3778 0.9258 -vn 0.6999 -0.2842 0.6552 -vn 0.9998 -0.0210 0.0022 -vn 0.7141 0.2577 -0.6509 -vn 0.0103 0.3886 -0.9213 -vn -0.6995 0.2951 -0.6509 -vn -0.9995 0.0322 0.0023 -vn -0.0101 -0.3775 0.9259 -vn 0.6999 -0.2839 0.6554 -vn 0.7140 0.2581 -0.6509 -vn -0.6993 0.2955 -0.6509 -vn -0.7137 -0.2466 0.6556 -vn -0.9995 0.0321 0.0025 -vn -0.0100 -0.3775 0.9260 -vn 0.6996 -0.2840 0.6556 -vn 0.7139 0.2581 -0.6509 -vn -0.6992 0.2955 -0.6509 -vn -0.7135 -0.2470 0.6556 -vn -0.0100 -0.3778 0.9258 -vn 0.6994 -0.2844 0.6557 -vn 0.9998 -0.0211 0.0024 -vn 0.7137 0.2578 -0.6512 -vn 0.0104 0.3886 -0.9214 -vn -0.6991 0.2952 -0.6513 -vn -0.6581 0.2952 0.6926 -vn -0.7622 0.6469 0.0233 -vn -0.1442 -0.1963 0.9699 -vn 0.4785 -0.5397 0.6926 -vn 0.8453 -0.5338 0.0233 -vn 0.7412 -0.1821 -0.6461 -vn 0.2273 0.3094 -0.9234 -vn -0.3954 0.6528 -0.6461 -vn -0.6605 0.2924 0.6916 -vn -0.7646 0.6442 0.0221 -vn -0.1464 -0.1993 0.9689 -vn 0.4765 -0.5428 0.6916 -vn 0.8434 -0.5369 0.0221 -vn 0.7393 -0.1851 -0.6475 -vn 0.2252 0.3066 -0.9248 -vn -0.3977 0.6500 -0.6475 -vn -0.6622 0.2903 0.6909 -vn -0.7663 0.6421 0.0212 -vn -0.1480 -0.2015 0.9683 -vn 0.4750 -0.5450 0.6909 -vn 0.8419 -0.5391 0.0212 -vn 0.7378 -0.1873 -0.6485 -vn 0.2237 0.3045 -0.9259 -vn -0.3994 0.6480 -0.6485 -vn -0.6589 0.2943 0.6923 -vn -0.7630 0.6460 0.0229 -vn -0.1449 -0.1973 0.9696 -vn 0.4779 -0.5407 0.6923 -vn 0.8447 -0.5348 0.0229 -vn 0.7406 -0.1831 -0.6466 -vn 0.2266 0.3085 -0.9238 -vn -0.3962 0.6519 -0.6466 -vn -0.6588 0.2944 0.6923 -vn -0.7629 0.6461 0.0229 -vn -0.1448 -0.1972 0.9696 -vn 0.4780 -0.5406 0.6923 -vn 0.8447 -0.5347 0.0229 -vn 0.7407 -0.1830 -0.6465 -vn 0.2267 0.3086 -0.9238 -vn -0.3961 0.6520 -0.6465 -vn -0.6615 0.2912 0.6912 -vn -0.7655 0.6430 0.0215 -vn -0.1473 -0.2005 0.9686 -vn 0.4757 -0.5440 0.6912 -vn 0.8426 -0.5382 0.0216 -vn 0.7385 -0.1863 -0.6480 -vn 0.2243 0.3054 -0.9254 -vn -0.3986 0.6489 -0.6481 -vn -0.1448 -0.1973 0.9696 -vn 0.8446 -0.5348 0.0229 -vn -0.1447 -0.1971 0.9696 -vn 0.4781 -0.5405 0.6923 -vn 0.7407 -0.1830 -0.6464 -vn 0.2266 0.3086 -0.9238 -vn -0.3962 0.6520 -0.6464 -vn -0.6615 0.2912 0.6911 -vn -0.1472 -0.2005 0.9686 -vn 0.4760 -0.5440 0.6911 -vn 0.8426 -0.5381 0.0215 -vn 0.7386 -0.1863 -0.6479 -vn 0.2242 0.3054 -0.9254 -vn -0.3989 0.6489 -0.6480 -vn -0.6506 -0.3178 0.6898 -vn -0.6506 -0.3177 0.6898 -vn -0.8365 -0.5478 -0.0097 -vn -0.1304 0.1536 0.9795 -vn 0.4194 0.5902 0.6898 -vn 0.6767 0.7362 -0.0097 -vn 0.4908 0.5061 -0.7092 -vn -0.0295 0.0347 -0.9990 -vn -0.5793 -0.4018 -0.7092 -vn -0.5792 -0.4018 -0.7092 -vn -0.6470 -0.3228 0.6908 -vn -0.8330 -0.5531 -0.0092 -vn -0.1264 0.1489 0.9807 -vn 0.4238 0.5858 0.6908 -vn 0.6813 0.7319 -0.0092 -vn 0.4952 0.5017 -0.7093 -vn -0.0254 0.0299 -0.9992 -vn -0.5756 -0.4070 -0.7093 -vn -0.6442 -0.3267 0.6916 -vn -0.8304 -0.5571 -0.0089 -vn -0.1233 0.1453 0.9817 -vn 0.4272 0.5825 0.6916 -vn 0.6848 0.7287 -0.0089 -vn 0.4986 0.4983 -0.7093 -vn -0.0223 0.0263 -0.9994 -vn -0.5728 -0.4109 -0.7093 -vn -0.6494 -0.3195 0.6901 -vn -0.8353 -0.5497 -0.0096 -vn -0.1290 0.1520 0.9799 -vn 0.4209 0.5887 0.6901 -vn 0.6783 0.7347 -0.0096 -vn 0.4923 0.5046 -0.7093 -vn -0.0281 0.0331 -0.9991 -vn -0.5780 -0.4036 -0.7092 -vn -0.6496 -0.3192 0.6900 -vn -0.8356 -0.5493 -0.0096 -vn -0.1292 0.1523 0.9798 -vn 0.4206 0.5890 0.6900 -vn 0.6780 0.7350 -0.0096 -vn 0.4920 0.5049 -0.7093 -vn -0.0283 0.0334 -0.9990 -vn -0.5782 -0.4033 -0.7092 -vn -0.6454 -0.3250 0.6912 -vn -0.8316 -0.5553 -0.0090 -vn -0.1246 0.1469 0.9813 -vn 0.4257 0.5839 0.6912 -vn 0.6832 0.7301 -0.0090 -vn 0.4971 0.4998 -0.7093 -vn -0.0236 0.0279 -0.9993 -vn -0.5740 -0.4092 -0.7093 -vn -0.6493 -0.3195 0.6901 -vn 0.6782 0.7348 -0.0096 -vn 0.4923 0.5046 -0.7092 -vn -0.0280 0.0331 -0.9991 -vn -0.6496 -0.3191 0.6900 -vn -0.1293 0.1523 0.9798 -vn 0.4206 0.5889 0.6901 -vn 0.4920 0.5048 -0.7093 -vn -0.5783 -0.4032 -0.7092 -vn -0.6455 -0.3249 0.6912 -vn -0.8316 -0.5552 -0.0091 -vn 0.4257 0.5839 0.6913 -vn 0.6833 0.7301 -0.0091 -vn 0.4971 0.4997 -0.7094 -vn -0.0238 0.0279 -0.9993 -vn -0.5741 -0.4091 -0.7092 -vn -0.7547 -0.1417 0.6406 -vn -0.8958 -0.4428 -0.0378 -vn -0.2243 0.3169 0.9215 -vn -0.2242 0.3169 0.9216 -vn 0.3848 0.6645 0.6406 -vn 0.7156 0.6974 -0.0378 -vn 0.7156 0.6975 -0.0378 -vn 0.5745 0.3964 -0.7161 -vn 0.0440 -0.0623 -0.9971 -vn 0.0441 -0.0623 -0.9971 -vn -0.5650 -0.4099 -0.7161 -vn -0.7510 -0.1484 0.6434 -vn -0.8924 -0.4499 -0.0359 -vn -0.2199 0.3108 0.9247 -vn 0.3898 0.6589 0.6433 -vn 0.7212 0.6918 -0.0359 -vn 0.5799 0.3904 -0.7151 -vn 0.0488 -0.0689 -0.9964 -vn -0.5611 -0.4169 -0.7151 -vn -0.7482 -0.1536 0.6454 -vn -0.8897 -0.4553 -0.0344 -vn -0.2166 0.3061 0.9270 -vn 0.3938 0.6545 0.6454 -vn 0.7254 0.6875 -0.0344 -vn 0.5840 0.3857 -0.7143 -vn 0.0523 -0.0740 -0.9959 -vn -0.5581 -0.4223 -0.7143 -vn -0.7534 -0.1441 0.6416 -vn -0.8946 -0.4453 -0.0371 -vn -0.2227 0.3148 0.9227 -vn 0.3866 0.6625 0.6416 -vn 0.7176 0.6954 -0.0371 -vn 0.5765 0.3942 -0.7157 -vn 0.0457 -0.0647 -0.9969 -vn -0.5636 -0.4124 -0.7158 -vn -0.7537 -0.1436 0.6413 -vn -0.8949 -0.4447 -0.0373 -vn -0.2231 0.3153 0.9224 -vn 0.3862 0.6630 0.6413 -vn 0.7172 0.6959 -0.0373 -vn 0.5760 0.3948 -0.7158 -vn 0.0453 -0.0641 -0.9969 -vn -0.5639 -0.4118 -0.7158 -vn -0.7495 -0.1513 0.6445 -vn -0.8908 -0.4530 -0.0351 -vn -0.2181 0.3082 0.9260 -vn 0.3921 0.6564 0.6445 -vn 0.7235 0.6894 -0.0351 -vn 0.5822 0.3878 -0.7146 -vn 0.0508 -0.0717 -0.9961 -vn -0.5594 -0.4200 -0.7146 -vn -0.7534 -0.1441 0.6415 -vn -0.8946 -0.4454 -0.0371 -vn 0.7176 0.6955 -0.0371 -vn 0.5764 0.3942 -0.7157 -vn 0.0458 -0.0647 -0.9969 -vn -0.5636 -0.4124 -0.7157 -vn -0.7538 -0.1435 0.6413 -vn -0.2230 0.3153 0.9224 -vn 0.3863 0.6630 0.6413 -vn 0.7171 0.6960 -0.0373 -vn -0.5640 -0.4118 -0.7158 -vn -0.7494 -0.1513 0.6446 -vn -0.8909 -0.4529 -0.0351 -vn -0.2178 0.3082 0.9261 -vn 0.3922 0.6564 0.6445 -vn 0.0507 -0.0717 -0.9961 -vn -0.5594 -0.4199 -0.7146 -vn 0.8318 0.3662 0.4171 -vn 0.9509 -0.3019 0.0684 -vn 0.2194 0.7978 0.5615 -vn -0.5276 0.7401 0.4171 -vn -0.9715 0.2268 0.0684 -vn -0.8524 -0.4413 -0.2803 -vn -0.2401 -0.8729 -0.4247 -vn 0.5069 -0.8152 -0.2803 -vn 0.8326 0.3683 0.4137 -vn 0.9517 -0.3000 0.0649 -vn 0.2200 0.8000 0.5581 -vn -0.5272 0.7423 0.4137 -vn -0.9713 0.2288 0.0649 -vn -0.8522 -0.4395 -0.2839 -vn -0.2396 -0.8712 -0.4284 -vn 0.5076 -0.8135 -0.2839 -vn 0.8332 0.3698 0.4112 -vn 0.9523 -0.2987 0.0623 -vn 0.2204 0.8016 0.5557 -vn -0.5269 0.7438 0.4112 -vn -0.9711 0.2303 0.0623 -vn -0.8520 -0.4382 -0.2866 -vn -0.2393 -0.8700 -0.4311 -vn 0.5081 -0.8122 -0.2866 -vn 0.8321 0.3669 0.4160 -vn 0.9512 -0.3013 0.0672 -vn 0.2196 0.7986 0.5604 -vn -0.5274 0.7408 0.4160 -vn -0.9715 0.2275 0.0672 -vn -0.8524 -0.4407 -0.2815 -vn -0.2399 -0.8724 -0.4259 -vn 0.5071 -0.8146 -0.2815 -vn 0.8320 0.3668 0.4161 -vn 0.9511 -0.3013 0.0674 -vn 0.2196 0.7985 0.5606 -vn -0.5274 0.7407 0.4161 -vn -0.9715 0.2274 0.0674 -vn -0.8524 -0.4408 -0.2813 -vn -0.2399 -0.8724 -0.4258 -vn 0.5071 -0.8147 -0.2813 -vn 0.8329 0.3692 0.4123 -vn 0.9521 -0.2993 0.0634 -vn 0.2203 0.8009 0.5568 -vn -0.5270 0.7431 0.4123 -vn -0.9712 0.2296 0.0634 -vn -0.8521 -0.4388 -0.2854 -vn -0.2394 -0.8705 -0.4299 -vn 0.5079 -0.8128 -0.2854 -vn 0.9512 -0.3012 0.0673 -vn 0.5072 -0.8146 -0.2815 -vn 0.2195 0.7985 0.5606 -vn -0.5275 0.7407 0.4161 -vn 0.5072 -0.8146 -0.2813 -vn 0.8329 0.3691 0.4123 -vn 0.9520 -0.2994 0.0634 -vn 0.2201 0.8009 0.5568 -vn -0.5273 0.7430 0.4122 -vn -0.9713 0.2295 0.0633 -vn -0.8521 -0.4387 -0.2854 -vn 0.5079 -0.8127 -0.2854 -vn -0.6878 0.3094 0.6567 -vn -0.6197 0.7821 0.0660 -vn -0.3099 -0.3025 0.9014 -vn 0.2927 -0.6950 0.6567 -vn 0.2927 -0.6951 0.6567 -vn 0.7669 -0.6384 0.0660 -vn 0.8350 -0.1657 -0.5247 -vn 0.4571 0.4462 -0.7694 -vn -0.1455 0.8388 -0.5247 -vn -0.6916 0.3065 0.6540 -vn -0.6235 0.7792 0.0632 -vn -0.3140 -0.3059 0.8988 -vn 0.2886 -0.6993 0.6539 -vn 0.7633 -0.6430 0.0625 -vn 0.8315 -0.1697 -0.5290 -vn 0.4532 0.4430 -0.7735 -vn -0.1495 0.8359 -0.5281 -vn -0.7087 0.2910 0.6427 -vn -0.6398 0.7670 0.0483 -vn -0.3205 -0.3171 0.8926 -vn 0.2928 -0.6981 0.6534 -vn 0.7715 -0.6324 0.0695 -vn 0.8396 -0.1611 -0.5188 -vn 0.4576 0.4429 -0.7710 -vn -0.1548 0.8287 -0.5379 -vn -0.7217 0.2819 0.6322 -vn -0.6528 0.7565 0.0404 -vn -0.3267 -0.3154 0.8909 -vn 0.2993 -0.6837 0.6656 -vn 0.7883 -0.6086 0.0909 -vn 0.8567 -0.1367 -0.4973 -vn 0.4650 0.4579 -0.7577 -vn -0.1604 0.8289 -0.5359 -vn -0.6806 0.3196 0.6592 -vn -0.6139 0.7856 0.0767 -vn -0.3161 -0.2908 0.9030 -vn 0.2786 -0.6961 0.6617 -vn 0.7576 -0.6496 0.0640 -vn 0.8269 -0.1698 -0.5361 -vn 0.4439 0.4518 -0.7738 -vn -0.1533 0.8434 -0.5149 -vn -0.5665 0.3907 0.7256 -vn -0.5024 0.8524 0.1448 -vn -0.2630 -0.2627 0.9283 -vn 0.2448 -0.7394 0.6271 -vn 0.6637 -0.7477 -0.0210 -vn 0.7313 -0.2658 -0.6281 -vn 0.4052 0.4082 -0.8180 -vn -0.1062 0.8649 -0.4906 -vn -0.4231 0.4489 0.7870 -vn -0.3615 0.9097 0.2042 -vn -0.1875 -0.2429 0.9518 -vn 0.2177 -0.7752 0.5930 -vn 0.5575 -0.8246 -0.0961 -vn 0.6219 -0.3461 -0.7025 -vn 0.3709 0.3667 -0.8532 -vn -0.0370 0.8813 -0.4710 -vn -0.3567 0.4625 0.8117 -vn -0.2953 0.9301 0.2185 -vn -0.1485 -0.2527 0.9561 -vn 0.2086 -0.7983 0.5650 -vn 0.5049 -0.8527 -0.1338 -vn 0.5665 -0.3833 -0.7295 -vn 0.3572 0.3342 -0.8722 -vn 0.0001 0.8780 -0.4786 -vn -0.3638 0.4563 0.8120 -vn -0.3015 0.9298 0.2109 -vn -0.1507 -0.2658 0.9522 -vn 0.2085 -0.8059 0.5542 -vn 0.5019 -0.8535 -0.1402 -vn 0.5626 -0.3889 -0.7295 -vn 0.3564 0.3223 -0.8770 -vn -0.0011 0.8713 -0.4908 -vn -0.1379 -0.7689 0.6243 -vn -0.1380 -0.7689 0.6243 -vn -0.6502 -0.7573 0.0611 -vn 0.4164 -0.3021 0.8575 -vn 0.4164 -0.3020 0.8575 -vn 0.6881 0.3698 0.6243 -vn 0.5180 0.8532 0.0611 -vn 0.0058 0.8648 -0.5021 -vn -0.5486 0.3979 -0.7353 -vn -0.8203 -0.2740 -0.5021 -vn -0.1346 -0.7718 0.6214 -vn -0.6471 -0.7602 0.0580 -vn 0.4200 -0.3047 0.8548 -vn 0.6919 0.3676 0.6214 -vn 0.5217 0.8511 0.0580 -vn 0.0092 0.8628 -0.5055 -vn -0.5454 0.3957 -0.7389 -vn -0.8173 -0.2766 -0.5055 -vn -0.1321 -0.7740 0.6193 -vn -0.6448 -0.7623 0.0557 -vn 0.4227 -0.3066 0.8528 -vn 0.6947 0.3659 0.6193 -vn 0.5244 0.8496 0.0557 -vn 0.0117 0.8613 -0.5080 -vn -0.5431 0.3940 -0.7415 -vn -0.8151 -0.2785 -0.5080 -vn -0.1368 -0.7699 0.6233 -vn -0.6492 -0.7583 0.0601 -vn 0.4176 -0.3030 0.8566 -vn 0.6894 0.3691 0.6233 -vn 0.5193 0.8525 0.0601 -vn 0.0069 0.8641 -0.5032 -vn -0.5475 0.3972 -0.7365 -vn -0.8193 -0.2748 -0.5032 -vn -0.1370 -0.7698 0.6235 -vn -0.6493 -0.7581 0.0602 -vn 0.4174 -0.3028 0.8568 -vn 0.6892 0.3692 0.6235 -vn 0.5191 0.8526 0.0602 -vn 0.0067 0.8642 -0.5030 -vn -0.5477 0.3973 -0.7363 -vn -0.8195 -0.2747 -0.5030 -vn -0.1332 -0.7730 0.6203 -vn -0.6458 -0.7614 0.0567 -vn 0.4215 -0.3058 0.8537 -vn 0.6935 0.3666 0.6203 -vn 0.5232 0.8503 0.0567 -vn 0.0106 0.8619 -0.5069 -vn -0.5441 0.3947 -0.7404 -vn -0.8161 -0.2777 -0.5069 -vn -0.1369 -0.7699 0.6233 -vn -0.8193 -0.2749 -0.5032 -vn -0.1371 -0.7698 0.6234 -vn -0.6494 -0.7581 0.0602 -vn 0.4175 -0.3028 0.8568 -vn 0.6892 0.3692 0.6234 -vn 0.5190 0.8526 0.0602 -vn 0.0067 0.8643 -0.5030 -vn -0.8194 -0.2748 -0.5030 -vn -0.1334 -0.7730 0.6202 -vn -0.6459 -0.7613 0.0566 -vn 0.4216 -0.3058 0.8537 -vn 0.6935 0.3665 0.6202 -vn 0.0106 0.8620 -0.5069 -vn -0.5442 0.3947 -0.7403 -vn -0.8161 -0.2779 -0.5068 -vn 0.0457 0.7113 0.7014 -vn 0.0257 0.9996 0.0070 -vn 0.1462 0.0237 0.9890 -vn 0.2681 -0.6604 0.7014 -vn 0.2681 -0.6605 0.7014 -vn 0.3401 -0.9404 0.0070 -vn 0.3201 -0.6520 -0.6873 -vn 0.3200 -0.6520 -0.6873 -vn 0.2196 0.0356 -0.9749 -vn 0.0977 0.7197 -0.6873 -vn 0.0977 0.7198 -0.6873 -vn 0.0365 0.7110 0.7022 -vn 0.0164 0.9998 0.0067 -vn 0.1371 0.0222 0.9903 -vn 0.2592 -0.6631 0.7022 -vn 0.3314 -0.9435 0.0067 -vn 0.3112 -0.6547 -0.6889 -vn 0.2106 0.0341 -0.9770 -vn 0.0885 0.7195 -0.6889 -vn 0.0293 0.7108 0.7028 -vn 0.0091 0.9999 0.0064 -vn 0.1300 0.0211 0.9913 -vn 0.2523 -0.6651 0.7028 -vn 0.3245 -0.9458 0.0064 -vn 0.3044 -0.6567 -0.6900 -vn 0.2036 0.0330 -0.9785 -vn 0.0814 0.7192 -0.6900 -vn 0.0424 0.7112 0.7017 -vn 0.0222 0.9997 0.0069 -vn 0.1428 0.0232 0.9895 -vn 0.2648 -0.6614 0.7017 -vn 0.3369 -0.9415 0.0069 -vn 0.3168 -0.6530 -0.6879 -vn 0.2163 0.0351 -0.9757 -vn 0.0943 0.7196 -0.6879 -vn 0.0433 0.7113 0.7016 -vn 0.0232 0.9997 0.0069 -vn 0.1437 0.0233 0.9893 -vn 0.2657 -0.6612 0.7016 -vn 0.3378 -0.9412 0.0069 -vn 0.3177 -0.6527 -0.6877 -vn 0.2172 0.0352 -0.9755 -vn 0.0952 0.7197 -0.6877 -vn 0.0324 0.7109 0.7026 -vn 0.0123 0.9999 0.0065 -vn 0.1331 0.0216 0.9909 -vn 0.2553 -0.6643 0.7026 -vn 0.3275 -0.9448 0.0065 -vn 0.3074 -0.6558 -0.6895 -vn 0.2067 0.0335 -0.9778 -vn 0.0845 0.7193 -0.6895 -vn 0.0423 0.7112 0.7017 -vn 0.1429 0.0232 0.9895 -vn 0.2649 -0.6614 0.7017 -vn 0.0433 0.7112 0.7016 -vn 0.1438 0.0233 0.9893 -vn 0.2657 -0.6611 0.7016 -vn 0.3377 -0.9412 0.0069 -vn 0.3177 -0.6527 -0.6878 -vn 0.0952 0.7196 -0.6878 -vn 0.0324 0.7108 0.7027 -vn 0.2553 -0.6642 0.7026 -vn 0.3073 -0.6558 -0.6896 -vn 0.0845 0.7193 -0.6896 -vn 0.5336 0.5348 0.6552 -vn 0.9504 0.3046 0.0627 -vn 0.9504 0.3045 0.0627 -vn -0.1728 0.3987 0.9006 -vn -0.7551 -0.0238 0.6552 -vn -0.8721 -0.4854 0.0627 -vn -0.8720 -0.4854 0.0627 -vn -0.4552 -0.7156 -0.5298 -vn 0.2512 -0.5796 -0.7752 -vn 0.8335 -0.1570 -0.5298 -vn 0.5319 0.5398 0.6524 -vn 0.9491 0.3094 0.0595 -vn -0.1750 0.4037 0.8980 -vn -0.7576 -0.0192 0.6524 -vn -0.8747 -0.4811 0.0595 -vn -0.4576 -0.7114 -0.5334 -vn 0.2493 -0.5753 -0.7790 -vn 0.8320 -0.1525 -0.5334 -vn 0.5307 0.5436 0.6503 -vn 0.9480 0.3131 0.0571 -vn -0.1766 0.4074 0.8960 -vn -0.7595 -0.0157 0.6503 -vn -0.8766 -0.4778 0.0571 -vn -0.4593 -0.7083 -0.5361 -vn 0.2480 -0.5721 -0.7818 -vn 0.8309 -0.1491 -0.5361 -vn 0.5330 0.5365 0.6543 -vn 0.9500 0.3062 0.0616 -vn -0.1736 0.4004 0.8997 -vn -0.7559 -0.0222 0.6543 -vn -0.8729 -0.4839 0.0616 -vn -0.4560 -0.7142 -0.5311 -vn 0.2506 -0.5781 -0.7765 -vn 0.8330 -0.1555 -0.5310 -vn 0.5331 0.5362 0.6544 -vn 0.9500 0.3059 0.0618 -vn -0.1734 0.4001 0.8999 -vn -0.7558 -0.0225 0.6544 -vn -0.8728 -0.4842 0.0618 -vn -0.4559 -0.7144 -0.5308 -vn 0.2507 -0.5784 -0.7763 -vn 0.8331 -0.1557 -0.5308 -vn 0.5313 0.5419 0.6512 -vn 0.9485 0.3115 0.0581 -vn -0.1759 0.4058 0.8969 -vn -0.7587 -0.0172 0.6512 -vn -0.8758 -0.4792 0.0581 -vn -0.4585 -0.7097 -0.5349 -vn 0.2486 -0.5735 -0.7806 -vn 0.8314 -0.1505 -0.5349 -vn 0.5330 0.5365 0.6542 -vn 0.9500 0.3063 0.0616 -vn -0.1735 0.4004 0.8997 -vn -0.7560 -0.0222 0.6542 -vn -0.4560 -0.7142 -0.5310 -vn 0.8330 -0.1555 -0.5311 -vn 0.5332 0.5362 0.6544 -vn 0.9500 0.3059 0.0619 -vn -0.1733 0.4001 0.8999 -vn -0.7558 -0.0225 0.6545 -vn -0.4560 -0.7144 -0.5308 -vn 0.8331 -0.1557 -0.5307 -vn 0.9485 0.3114 0.0581 -vn -0.1756 0.4057 0.8970 -vn -0.7586 -0.0172 0.6513 -vn -0.8758 -0.4792 0.0580 -vn -0.4588 -0.7096 -0.5348 -vn 0.8316 -0.1504 -0.5347 -vn -0.3454 0.7757 0.5281 -vn -0.7795 0.6221 -0.0733 -vn 0.3287 0.5365 0.7772 -vn 0.8480 0.0447 0.5281 -vn 0.9083 -0.4118 -0.0733 -vn 0.9083 -0.4118 -0.0734 -vn 0.4743 -0.5654 -0.6748 -vn -0.1998 -0.3262 -0.9239 -vn -0.7192 0.1657 -0.6748 -vn -0.7191 0.1657 -0.6748 -vn -0.3491 0.7711 0.5324 -vn -0.7836 0.6174 -0.0697 -vn 0.3257 0.5317 0.7818 -vn 0.8456 0.0393 0.5324 -vn 0.9059 -0.4176 -0.0697 -vn 0.4715 -0.5714 -0.6717 -vn -0.2034 -0.3319 -0.9211 -vn -0.7232 0.1605 -0.6718 -vn -0.3519 0.7676 0.5357 -vn -0.7867 0.6137 -0.0669 -vn 0.3234 0.5280 0.7852 -vn 0.8437 0.0352 0.5357 -vn 0.9041 -0.4220 -0.0669 -vn 0.4693 -0.5759 -0.6694 -vn -0.2060 -0.3363 -0.9189 -vn -0.7263 0.1565 -0.6694 -vn -0.3467 0.7741 0.5296 -vn -0.7809 0.6205 -0.0720 -vn 0.3276 0.5349 0.7788 -vn 0.8472 0.0428 0.5296 -vn 0.9075 -0.4138 -0.0721 -vn 0.4733 -0.5675 -0.6737 -vn -0.2011 -0.3282 -0.9229 -vn -0.7206 0.1638 -0.6737 -vn -0.3464 0.7745 0.5293 -vn -0.7806 0.6208 -0.0723 -vn 0.3279 0.5352 0.7785 -vn 0.8473 0.0432 0.5293 -vn 0.9077 -0.4134 -0.0724 -vn 0.4735 -0.5671 -0.6740 -vn -0.2008 -0.3278 -0.9232 -vn -0.7203 0.1643 -0.6740 -vn -0.3507 0.7691 0.5343 -vn -0.7853 0.6153 -0.0681 -vn 0.3244 0.5296 0.7837 -vn 0.8445 0.0370 0.5342 -vn 0.9049 -0.4201 -0.0681 -vn 0.4702 -0.5740 -0.6704 -vn -0.2049 -0.3344 -0.9199 -vn -0.7249 0.1582 -0.6704 -vn -0.7809 0.6205 -0.0721 -vn 0.3277 0.5348 0.7788 -vn 0.8472 0.0427 0.5296 -vn 0.9075 -0.4139 -0.0721 -vn -0.7206 0.1639 -0.6737 -vn -0.3465 0.7745 0.5293 -vn -0.7806 0.6209 -0.0723 -vn 0.8473 0.0431 0.5293 -vn 0.9076 -0.4135 -0.0723 -vn -0.3507 0.7692 0.5342 -vn -0.7853 0.6154 -0.0681 -vn 0.3243 0.5296 0.7838 -vn 0.8445 0.0369 0.5343 -vn 0.9049 -0.4202 -0.0681 -vn -0.2047 -0.3344 -0.9199 -vn -0.6656 -0.3876 0.6378 -vn -0.9941 0.0332 0.1032 -vn 0.0463 -0.5096 0.8592 -vn 0.0462 -0.5096 0.8592 -vn 0.7245 -0.2613 0.6378 -vn 0.7245 -0.2614 0.6378 -vn 0.9719 0.2117 0.1032 -vn 0.6434 0.6325 -0.4313 -vn -0.0685 0.7545 -0.6527 -vn -0.7468 0.5063 -0.4313 -vn -0.6659 -0.3943 0.6333 -vn -0.9948 0.0270 0.0981 -vn 0.0469 -0.5165 0.8550 -vn 0.7260 -0.2680 0.6333 -vn 0.9737 0.2057 0.0981 -vn 0.6448 0.6270 -0.4372 -vn -0.0680 0.7492 -0.6589 -vn -0.7472 0.5006 -0.4372 -vn -0.6661 -0.3995 0.6298 -vn -0.9953 0.0222 0.0941 -vn 0.0474 -0.5218 0.8518 -vn 0.7272 -0.2730 0.6298 -vn 0.9750 0.2011 0.0941 -vn 0.6458 0.6228 -0.4416 -vn -0.0676 0.7451 -0.6635 -vn -0.7474 0.4963 -0.4416 -vn -0.6657 -0.3900 0.6362 -vn -0.9944 0.0310 0.1014 -vn 0.0465 -0.5121 0.8577 -vn 0.7251 -0.2637 0.6362 -vn 0.9725 0.2096 0.1014 -vn 0.6439 0.6305 -0.4334 -vn -0.0683 0.7526 -0.6549 -vn -0.7469 0.5043 -0.4334 -vn -0.6657 -0.3894 0.6366 -vn -0.9943 0.0315 0.1018 -vn 0.0465 -0.5115 0.8580 -vn 0.7250 -0.2631 0.6366 -vn 0.9724 0.2101 0.1018 -vn 0.6438 0.6310 -0.4329 -vn -0.0684 0.7530 -0.6544 -vn -0.7469 0.5047 -0.4329 -vn -0.6660 -0.3973 0.6314 -vn -0.9951 0.0243 0.0958 -vn 0.0472 -0.5195 0.8532 -vn 0.7267 -0.2708 0.6313 -vn 0.9745 0.2031 0.0958 -vn 0.6454 0.6246 -0.4397 -vn -0.0678 0.7469 -0.6615 -vn -0.7473 0.4982 -0.4397 -vn -0.6658 -0.3900 0.6361 -vn 0.9725 0.2095 0.1014 -vn -0.0684 0.7526 -0.6549 -vn -0.6658 -0.3894 0.6365 -vn -0.9943 0.0315 0.1019 -vn 0.0464 -0.5114 0.8581 -vn 0.7250 -0.2631 0.6365 -vn 0.9724 0.2101 0.1019 -vn 0.6439 0.6309 -0.4329 -vn -0.0683 0.7531 -0.6544 -vn -0.6662 -0.3971 0.6312 -vn -0.9951 0.0243 0.0959 -vn 0.0471 -0.5195 0.8532 -vn 0.7268 -0.2707 0.6313 -vn 0.9744 0.2032 0.0958 -vn 0.6455 0.6246 -0.4397 -vn -0.0675 0.7469 -0.6615 -vn -0.3778 0.6262 0.6820 -vn -0.1838 0.9823 0.0367 -vn -0.3030 -0.0836 0.9493 -vn -0.0032 -0.7313 0.6820 -vn 0.3459 -0.9376 0.0367 -vn 0.5399 -0.5815 -0.6086 -vn 0.4651 0.1283 -0.8759 -vn 0.1653 0.7761 -0.6086 -vn -0.3822 0.6253 0.6804 -vn -0.1881 0.9815 0.0348 -vn -0.3073 -0.0848 0.9478 -vn -0.0075 -0.7328 0.6804 -vn 0.3418 -0.9391 0.0348 -vn 0.5359 -0.5829 -0.6108 -vn 0.4611 0.1272 -0.8782 -vn 0.1612 0.7752 -0.6108 -vn -0.3854 0.6247 0.6792 -vn -0.1912 0.9810 0.0334 -vn -0.3105 -0.0857 0.9467 -vn -0.0106 -0.7339 0.6792 -vn 0.3388 -0.9403 0.0334 -vn 0.5330 -0.5839 -0.6123 -vn 0.4581 0.1264 -0.8798 -vn 0.1582 0.7746 -0.6123 -vn -0.3792 0.6259 0.6815 -vn -0.1852 0.9820 0.0361 -vn -0.3045 -0.0840 0.9488 -vn -0.0047 -0.7318 0.6815 -vn 0.3445 -0.9381 0.0361 -vn 0.5386 -0.5820 -0.6093 -vn 0.4638 0.1279 -0.8767 -vn 0.1640 0.7758 -0.6093 -vn -0.3790 0.6260 0.6816 -vn -0.1850 0.9821 0.0362 -vn -0.3042 -0.0839 0.9489 -vn -0.0044 -0.7317 0.6816 -vn 0.3447 -0.9380 0.0362 -vn 0.5387 -0.5819 -0.6092 -vn 0.4640 0.1280 -0.8766 -vn 0.1642 0.7758 -0.6092 -vn -0.3840 0.6249 0.6797 -vn -0.1898 0.9812 0.0340 -vn -0.3091 -0.0853 0.9472 -vn -0.0092 -0.7334 0.6797 -vn 0.3401 -0.9398 0.0340 -vn 0.5342 -0.5835 -0.6117 -vn 0.4594 0.1267 -0.8791 -vn 0.1595 0.7749 -0.6117 -vn -0.3793 0.6259 0.6815 -vn -0.3044 -0.0840 0.9488 -vn 0.5385 -0.5820 -0.6093 -vn 0.4637 0.1280 -0.8767 -vn -0.1850 0.9821 0.0361 -vn -0.3042 -0.0840 0.9489 -vn 0.5388 -0.5819 -0.6092 -vn 0.4640 0.1280 -0.8765 -vn -0.3839 0.6249 0.6797 -vn -0.1899 0.9812 0.0341 -vn -0.3090 -0.0853 0.9472 -vn -0.0091 -0.7334 0.6798 -vn 0.3402 -0.9397 0.0341 -vn 0.5344 -0.5835 -0.6116 -vn 0.4595 0.1267 -0.8791 -vn 0.7798 0.3137 0.5417 -vn 0.9701 -0.2378 0.0491 -vn 0.1274 0.6539 0.7458 -vn 0.1274 0.6539 0.7457 -vn -0.6050 0.5836 0.5417 -vn -0.9884 0.1439 0.0491 -vn -0.7982 -0.4077 -0.4436 -vn -0.1458 -0.7479 -0.6476 -vn 0.5867 -0.6776 -0.4436 -vn 0.7805 0.3162 0.5393 -vn 0.9708 -0.2354 0.0465 -vn 0.1279 0.6565 0.7434 -vn -0.6047 0.5862 0.5393 -vn -0.9881 0.1463 0.0465 -vn -0.7979 -0.4053 -0.4462 -vn -0.1453 -0.7456 -0.6503 -vn 0.5873 -0.6753 -0.4462 -vn 0.7810 0.3180 0.5375 -vn 0.9713 -0.2337 0.0447 -vn 0.1283 0.6584 0.7416 -vn -0.6044 0.5880 0.5375 -vn -0.9880 0.1481 0.0447 -vn -0.7977 -0.4036 -0.4481 -vn -0.1450 -0.7440 -0.6523 -vn 0.5877 -0.6736 -0.4481 -vn 0.7801 0.3145 0.5409 -vn 0.9703 -0.2371 0.0482 -vn 0.1276 0.6548 0.7450 -vn -0.6049 0.5844 0.5409 -vn -0.9883 0.1447 0.0482 -vn -0.7981 -0.4069 -0.4444 -vn -0.1456 -0.7472 -0.6485 -vn 0.5869 -0.6768 -0.4444 -vn 0.7801 0.3144 0.5410 -vn 0.9703 -0.2371 0.0483 -vn 0.1276 0.6547 0.7451 -vn -0.6049 0.5843 0.5410 -vn -0.9883 0.1446 0.0483 -vn -0.7981 -0.4070 -0.4443 -vn -0.1456 -0.7472 -0.6484 -vn 0.5868 -0.6769 -0.4443 -vn 0.7808 0.3172 0.5383 -vn 0.9711 -0.2345 0.0455 -vn 0.1282 0.6576 0.7424 -vn -0.6045 0.5872 0.5383 -vn -0.9880 0.1473 0.0455 -vn -0.7977 -0.4044 -0.4473 -vn -0.1451 -0.7447 -0.6514 -vn 0.5875 -0.6743 -0.4473 -vn 0.9703 -0.2370 0.0482 -vn 0.1277 0.6548 0.7450 -vn -0.6048 0.5844 0.5409 -vn -0.9883 0.1447 0.0483 -vn 0.7800 0.3144 0.5410 -vn 0.9703 -0.2372 0.0483 -vn 0.1275 0.6547 0.7451 -vn -0.9883 0.1446 0.0484 -vn -0.1457 -0.7472 -0.6484 -vn 0.7807 0.3173 0.5384 -vn 0.9710 -0.2346 0.0454 -vn 0.1279 0.6576 0.7424 -vn -0.6046 0.5872 0.5382 -vn -0.7978 -0.4043 -0.4473 -vn 0.5875 -0.6744 -0.4473 -vn 0.4758 -0.7747 0.4165 -vn -0.1771 -0.9808 0.0819 -vn 0.8243 -0.1113 0.5551 -vn 0.6642 0.6207 0.4165 -vn 0.6643 0.6207 0.4165 -vn 0.0894 0.9926 0.0819 -vn -0.5635 0.7865 -0.2527 -vn -0.9120 0.1232 -0.3913 -vn -0.7520 -0.6088 -0.2527 -vn 0.4783 -0.7753 0.4125 -vn -0.1749 -0.9815 0.0777 -vn 0.8269 -0.1117 0.5511 -vn 0.6668 0.6207 0.4125 -vn 0.0918 0.9927 0.0777 -vn -0.5614 0.7866 -0.2571 -vn -0.9101 0.1229 -0.3957 -vn -0.7500 -0.6094 -0.2571 -vn 0.4801 -0.7758 0.4095 -vn -0.1733 -0.9820 0.0746 -vn 0.8288 -0.1120 0.5482 -vn 0.6687 0.6206 0.4095 -vn 0.0935 0.9928 0.0746 -vn -0.5599 0.7866 -0.2603 -vn -0.9087 0.1228 -0.3990 -vn -0.7486 -0.6098 -0.2603 -vn 0.4766 -0.7749 0.4152 -vn -0.1764 -0.9810 0.0805 -vn 0.8252 -0.1115 0.5538 -vn 0.6651 0.6207 0.4152 -vn 0.0902 0.9927 0.0805 -vn -0.5628 0.7866 -0.2542 -vn -0.9114 0.1231 -0.3928 -vn -0.7513 -0.6090 -0.2542 -vn 0.4765 -0.7749 0.4154 -vn -0.1765 -0.9810 0.0807 -vn 0.8250 -0.1115 0.5540 -vn 0.6650 0.6207 0.4154 -vn 0.0901 0.9927 0.0807 -vn -0.5629 0.7866 -0.2539 -vn -0.9114 0.1231 -0.3926 -vn -0.7514 -0.6090 -0.2539 -vn 0.4793 -0.7756 0.4108 -vn -0.1740 -0.9818 0.0760 -vn 0.8280 -0.1118 0.5495 -vn 0.6679 0.6206 0.4108 -vn 0.0927 0.9928 0.0760 -vn -0.5606 0.7866 -0.2589 -vn -0.9093 0.1228 -0.3975 -vn -0.7492 -0.6097 -0.2589 -vn -0.7513 -0.6091 -0.2542 -vn 0.4764 -0.7749 0.4154 -vn 0.8250 -0.1114 0.5540 -vn -0.5629 0.7866 -0.2540 -vn 0.6679 0.6207 0.4108 -vn 0.0928 0.9928 0.0760 -vn -0.5606 0.7866 -0.2588 -vn -0.7492 -0.6097 -0.2588 -vn 0.4931 -0.4892 0.7194 -vn 0.4932 -0.4892 0.7194 -vn 0.5871 -0.8083 0.0453 -vn 0.5871 -0.8082 0.0453 -vn 0.0366 0.0387 0.9986 -vn 0.0366 0.0386 0.9986 -vn -0.5151 0.4660 0.7194 -vn -0.8388 0.5426 0.0453 -vn -0.7448 0.2235 -0.6287 -vn -0.2883 -0.3043 -0.9079 -vn -0.2882 -0.3043 -0.9079 -vn 0.2634 -0.7317 -0.6287 -vn 0.5004 -0.4833 0.7183 -vn 0.5945 -0.8029 0.0431 -vn 0.0431 0.0455 0.9980 -vn -0.5096 0.4736 0.7183 -vn -0.8338 0.5503 0.0431 -vn -0.7397 0.2307 -0.6321 -vn -0.2823 -0.2981 -0.9118 -vn 0.2703 -0.7262 -0.6321 -vn 0.5061 -0.4786 0.7175 -vn 0.6003 -0.7987 0.0414 -vn 0.0481 0.0508 0.9975 -vn -0.5053 0.4795 0.7175 -vn -0.8299 0.5563 0.0414 -vn -0.7357 0.2363 -0.6347 -vn -0.2778 -0.2932 -0.9148 -vn 0.2756 -0.7219 -0.6347 -vn 0.4958 -0.4870 0.7190 -vn 0.5898 -0.8063 0.0445 -vn 0.0390 0.0412 0.9984 -vn -0.5131 0.4688 0.7190 -vn -0.8370 0.5455 0.0445 -vn -0.7430 0.2262 -0.6300 -vn -0.2861 -0.3020 -0.9094 -vn 0.2660 -0.7296 -0.6300 -vn 0.4951 -0.4876 0.7191 -vn 0.5891 -0.8068 0.0447 -vn 0.0384 0.0405 0.9984 -vn -0.5136 0.4680 0.7191 -vn -0.8375 0.5447 0.0447 -vn -0.7435 0.2254 -0.6296 -vn -0.2867 -0.3026 -0.9090 -vn 0.2653 -0.7302 -0.6296 -vn 0.5037 -0.4806 0.7178 -vn 0.5978 -0.8005 0.0421 -vn 0.0460 0.0485 0.9978 -vn -0.5071 0.4770 0.7179 -vn -0.8316 0.5537 0.0421 -vn -0.7374 0.2339 -0.6336 -vn -0.2798 -0.2953 -0.9135 -vn 0.2733 -0.7238 -0.6336 -vn 0.4959 -0.4870 0.7190 -vn 0.5899 -0.8063 0.0445 -vn 0.0391 0.0412 0.9984 -vn -0.8370 0.5454 0.0445 -vn -0.7429 0.2262 -0.6300 -vn 0.2659 -0.7297 -0.6300 -vn 0.4952 -0.4876 0.7191 -vn 0.5891 -0.8069 0.0447 -vn 0.0383 0.0405 0.9984 -vn -0.5137 0.4680 0.7191 -vn 0.2652 -0.7302 -0.6297 -vn 0.5977 -0.8006 0.0421 -vn 0.0459 0.0485 0.9978 -vn -0.5072 0.4769 0.7178 -vn -0.8316 0.5538 0.0422 -vn -0.7375 0.2337 -0.6336 -vn -0.2799 -0.2953 -0.9135 -vn 0.2732 -0.7237 -0.6337 -vn -0.7987 0.1808 0.5740 -vn -0.6554 0.7497 0.0921 -vn -0.4388 -0.4572 0.7736 -vn 0.2134 -0.7906 0.5740 -vn 0.7759 -0.6241 0.0921 -vn 0.9192 -0.0552 -0.3898 -vn 0.9192 -0.0552 -0.3899 -vn 0.5593 0.5828 -0.5895 -vn -0.0929 0.9162 -0.3899 -vn -0.8024 0.1777 0.5697 -vn -0.6590 0.7470 0.0874 -vn -0.4423 -0.4608 0.7695 -vn 0.2105 -0.7945 0.5697 -vn 0.7734 -0.6278 0.0874 -vn 0.9168 -0.0585 -0.3949 -vn 0.5567 0.5800 -0.5947 -vn -0.0961 0.9137 -0.3949 -vn -0.8052 0.1754 0.5665 -vn -0.6617 0.7450 0.0839 -vn -0.4448 -0.4635 0.7663 -vn 0.2083 -0.7973 0.5665 -vn 0.7716 -0.6306 0.0839 -vn 0.9150 -0.0609 -0.3987 -vn 0.5547 0.5779 -0.5986 -vn -0.0985 0.9118 -0.3987 -vn -0.8000 0.1797 0.5725 -vn -0.6566 0.7488 0.0904 -vn -0.4400 -0.4584 0.7722 -vn 0.2124 -0.7919 0.5725 -vn 0.7751 -0.6254 0.0904 -vn 0.9184 -0.0563 -0.3916 -vn 0.5584 0.5819 -0.5913 -vn -0.0940 0.9153 -0.3916 -vn -0.7997 0.1799 0.5728 -vn -0.6564 0.7489 0.0907 -vn -0.4398 -0.4582 0.7724 -vn 0.2126 -0.7917 0.5728 -vn 0.7753 -0.6251 0.0907 -vn 0.9186 -0.0561 -0.3913 -vn 0.5586 0.5820 -0.5910 -vn -0.0938 0.9155 -0.3913 -vn -0.8040 0.1764 0.5679 -vn -0.6605 0.7459 0.0854 -vn -0.4437 -0.4623 0.7677 -vn 0.2093 -0.7961 0.5679 -vn 0.7724 -0.6294 0.0854 -vn 0.9158 -0.0599 -0.3971 -vn 0.5555 0.5789 -0.5969 -vn -0.0974 0.9126 -0.3971 -vn -0.6567 0.7487 0.0904 -vn 0.7750 -0.6254 0.0904 -vn 0.9184 -0.0564 -0.3916 -vn -0.0941 0.9153 -0.3916 -vn 0.2125 -0.7916 0.5728 -vn 0.9185 -0.0561 -0.3913 -vn -0.0937 0.9155 -0.3913 -vn -0.8040 0.1763 0.5678 -vn -0.4438 -0.4623 0.7677 -vn 0.2092 -0.7960 0.5679 -vn 0.9158 -0.0598 -0.3971 -vn 0.5556 0.5788 -0.5969 -vn -0.0972 0.9126 -0.3971 -vn 0.3413 0.6155 0.7104 -vn 0.5548 0.8319 0.0120 -vn 0.5547 0.8319 0.0120 -vn -0.0219 0.0117 0.9997 -vn -0.0220 0.0117 0.9997 -vn -0.3222 -0.6257 0.7104 -vn -0.3836 -0.9234 0.0120 -vn -0.1702 -0.7070 -0.6864 -vn 0.1931 -0.1032 -0.9757 -vn 0.4934 0.5342 -0.6864 -vn 0.3370 0.6182 0.7101 -vn 0.5506 0.8347 0.0114 -vn -0.0264 0.0141 0.9996 -vn -0.3268 -0.6236 0.7101 -vn -0.3883 -0.9215 0.0114 -vn -0.1747 -0.7050 -0.6874 -vn 0.1887 -0.1009 -0.9768 -vn 0.4892 0.5369 -0.6874 -vn 0.3339 0.6201 0.7099 -vn 0.5475 0.8367 0.0109 -vn -0.0296 0.0159 0.9994 -vn -0.3302 -0.6221 0.7099 -vn -0.3917 -0.9200 0.0109 -vn -0.1780 -0.7034 -0.6881 -vn 0.1855 -0.0992 -0.9776 -vn 0.4861 0.5388 -0.6881 -vn 0.3399 0.6164 0.7103 -vn 0.5534 0.8329 0.0118 -vn -0.0234 0.0125 0.9996 -vn -0.3238 -0.6250 0.7103 -vn -0.3852 -0.9228 0.0118 -vn -0.1717 -0.7063 -0.6868 -vn 0.1916 -0.1024 -0.9761 -vn 0.4919 0.5351 -0.6868 -vn 0.3401 0.6163 0.7103 -vn 0.5536 0.8327 0.0118 -vn -0.0232 0.0124 0.9997 -vn -0.3235 -0.6251 0.7103 -vn -0.3850 -0.9229 0.0118 -vn -0.1715 -0.7064 -0.6867 -vn 0.1918 -0.1025 -0.9761 -vn 0.4921 0.5350 -0.6867 -vn 0.3352 0.6193 0.7100 -vn 0.5488 0.8359 0.0111 -vn -0.0282 0.0151 0.9995 -vn -0.3287 -0.6228 0.7100 -vn -0.3902 -0.9207 0.0111 -vn -0.1766 -0.7041 -0.6878 -vn 0.1869 -0.0999 -0.9773 -vn 0.4874 0.5379 -0.6878 -vn 0.5533 0.8329 0.0118 -vn -0.3852 -0.9227 0.0118 -vn 0.5535 0.8328 0.0118 -vn -0.3236 -0.6251 0.7103 -vn -0.3849 -0.9229 0.0118 -vn -0.1714 -0.7064 -0.6867 -vn 0.1919 -0.1026 -0.9760 -vn 0.4922 0.5350 -0.6867 -vn 0.3352 0.6194 0.7099 -vn -0.3901 -0.9207 0.0111 -vn -0.1764 -0.7042 -0.6877 -vn 0.1870 -0.0999 -0.9773 -vn 0.4875 0.5380 -0.6877 -vn 0.6981 0.4577 0.5507 -vn 0.9906 -0.0836 0.1082 -vn -0.0032 0.6792 0.7340 -vn -0.0032 0.6792 0.7339 -vn -0.7023 0.4512 0.5507 -vn -0.9898 -0.0928 0.1082 -vn -0.6972 -0.6341 -0.3342 -vn 0.0040 -0.8557 -0.5175 -vn 0.7031 -0.6276 -0.3342 -vn 0.6987 0.4627 0.5457 -vn 0.9916 -0.0792 0.1028 -vn -0.0032 0.6844 0.7291 -vn -0.7030 0.4561 0.5456 -vn -0.9908 -0.0884 0.1028 -vn -0.6979 -0.6302 -0.3401 -vn 0.0040 -0.8520 -0.5236 -vn 0.7038 -0.6237 -0.3401 -vn 0.6992 0.4664 0.5418 -vn 0.9922 -0.0758 0.0986 -vn -0.0032 0.6883 0.7254 -vn -0.7035 0.4599 0.5418 -vn -0.9915 -0.0850 0.0986 -vn -0.6985 -0.6272 -0.3446 -vn 0.0039 -0.8491 -0.5282 -vn 0.7043 -0.6207 -0.3446 -vn 0.6983 0.4594 0.5489 -vn 0.9909 -0.0821 0.1063 -vn -0.0032 0.6810 0.7323 -vn -0.7026 0.4529 0.5489 -vn -0.9901 -0.0913 0.1063 -vn -0.6975 -0.6328 -0.3363 -vn 0.0040 -0.8544 -0.5197 -vn 0.7034 -0.6263 -0.3363 -vn 0.6983 0.4591 0.5493 -vn 0.9909 -0.0824 0.1067 -vn -0.0032 0.6806 0.7326 -vn -0.7025 0.4526 0.5493 -vn -0.9901 -0.0916 0.1067 -vn -0.6974 -0.6331 -0.3359 -vn 0.0040 -0.8546 -0.5192 -vn 0.7033 -0.6266 -0.3359 -vn 0.6990 0.4648 0.5435 -vn 0.9919 -0.0773 0.1004 -vn -0.0032 0.6866 0.7270 -vn -0.7033 0.4583 0.5435 -vn -0.9912 -0.0865 0.1004 -vn -0.6982 -0.6286 -0.3426 -vn 0.0040 -0.8504 -0.5262 -vn 0.7040 -0.6220 -0.3426 -vn -0.0031 0.6810 0.7323 -vn -0.7025 0.4529 0.5489 -vn 0.0039 -0.8544 -0.5196 -vn 0.7033 -0.6263 -0.3363 -vn 0.6984 0.4590 0.5492 -vn -0.7026 0.4524 0.5492 -vn -0.9901 -0.0916 0.1068 -vn 0.6992 0.4647 0.5433 -vn 0.9919 -0.0772 0.1005 -vn -0.0034 0.6866 0.7270 -vn -0.7036 0.4581 0.5432 -vn -0.9912 -0.0864 0.1005 -vn -0.6981 -0.6287 -0.3427 -vn 0.0041 -0.8504 -0.5262 -vn 0.7041 -0.6220 -0.3426 -vn 0.6691 -0.4013 0.6255 -vn 0.9857 -0.1660 -0.0279 -vn -0.0434 -0.4417 0.8961 -vn -0.7344 -0.2635 0.6254 -vn -0.7344 -0.2635 0.6255 -vn -0.9992 0.0290 -0.0279 -vn -0.9992 0.0289 -0.0279 -vn -0.6826 0.2643 -0.6813 -vn 0.0299 0.3047 -0.9520 -vn 0.7209 0.1264 -0.6814 -vn 0.7210 0.1264 -0.6814 -vn 0.6697 -0.3979 0.6271 -vn 0.9864 -0.1625 -0.0265 -vn -0.0431 -0.4383 0.8978 -vn -0.7343 -0.2600 0.6271 -vn -0.9991 0.0325 -0.0265 -vn -0.6824 0.2679 -0.6801 -vn 0.0303 0.3083 -0.9508 -vn 0.7215 0.1300 -0.6801 -vn 0.6700 -0.3954 0.6283 -vn 0.9868 -0.1599 -0.0254 -vn -0.0428 -0.4358 0.8990 -vn -0.7342 -0.2575 0.6283 -vn -0.9991 0.0351 -0.0254 -vn -0.6823 0.2706 -0.6792 -vn 0.0305 0.3110 -0.9499 -vn 0.7219 0.1327 -0.6792 -vn 0.6693 -0.4002 0.6260 -vn 0.9859 -0.1649 -0.0275 -vn -0.0433 -0.4406 0.8967 -vn -0.7344 -0.2624 0.6260 -vn -0.9992 0.0301 -0.0275 -vn -0.6825 0.2655 -0.6809 -vn 0.0301 0.3059 -0.9516 -vn 0.7211 0.1276 -0.6809 -vn 0.6693 -0.4004 0.6259 -vn 0.9859 -0.1650 -0.0275 -vn -0.0433 -0.4407 0.8966 -vn -0.7344 -0.2625 0.6259 -vn -0.9992 0.0300 -0.0275 -vn -0.6826 0.2653 -0.6810 -vn 0.0300 0.3057 -0.9516 -vn 0.7211 0.1275 -0.6810 -vn 0.6699 -0.3965 0.6277 -vn 0.9866 -0.1610 -0.0259 -vn -0.0429 -0.4369 0.8985 -vn -0.7342 -0.2585 0.6277 -vn -0.9991 0.0340 -0.0259 -vn -0.6824 0.2694 -0.6796 -vn 0.0304 0.3098 -0.9503 -vn 0.7217 0.1315 -0.6796 -vn 0.6694 -0.4002 0.6259 -vn 0.9859 -0.1648 -0.0275 -vn -0.0432 -0.4406 0.8967 -vn -0.7344 -0.2623 0.6260 -vn 0.7212 0.1276 -0.6809 -vn 0.6692 -0.4004 0.6260 -vn 0.9859 -0.1649 -0.0274 -vn -0.0434 -0.4407 0.8966 -vn -0.7344 -0.2625 0.6260 -vn -0.9992 0.0299 -0.0274 -vn -0.6825 0.2653 -0.6810 -vn 0.0301 0.3057 -0.9516 -vn 0.6697 -0.3965 0.6279 -vn 0.9866 -0.1610 -0.0257 -vn -0.0432 -0.4368 0.8985 -vn -0.7342 -0.2586 0.6278 -vn -0.9991 0.0339 -0.0257 -vn -0.6823 0.2694 -0.6797 -vn 0.0305 0.3098 -0.9503 -vn 0.7217 0.1316 -0.6795 -vn -0.6002 0.4908 0.6316 -vn -0.6001 0.4909 0.6316 -vn -0.1837 0.9512 0.2480 -vn -0.5713 -0.2208 0.7905 -vn -0.1140 -0.7669 0.6316 -vn 0.5038 -0.8275 0.2480 -vn 0.9202 -0.3671 -0.1356 -vn 0.8914 0.3445 -0.2945 -vn 0.8914 0.3445 -0.2946 -vn 0.4341 0.8906 -0.1356 -vn 0.4341 0.8906 -0.1357 -vn -0.6108 0.4899 0.6220 -vn -0.1925 0.9523 0.2367 -vn -0.5818 -0.2249 0.7816 -vn -0.1225 -0.7734 0.6220 -vn 0.4980 -0.8342 0.2367 -vn 0.9163 -0.3718 -0.1486 -vn 0.8874 0.3430 -0.3082 -vn 0.4281 0.8914 -0.1486 -vn -0.6196 0.4891 0.6139 -vn -0.1999 0.9531 0.2272 -vn -0.5906 -0.2283 0.7740 -vn -0.1296 -0.7787 0.6139 -vn 0.4931 -0.8398 0.2272 -vn 0.9129 -0.3757 -0.1594 -vn 0.8839 0.3416 -0.3196 -vn 0.4229 0.8920 -0.1594 -vn -0.6047 0.4904 0.6276 -vn -0.1874 0.9517 0.2433 -vn -0.5758 -0.2225 0.7867 -vn -0.1177 -0.7696 0.6276 -vn 0.5014 -0.8303 0.2433 -vn 0.9186 -0.3691 -0.1410 -vn 0.8898 0.3439 -0.3001 -vn 0.4317 0.8910 -0.1410 -vn -0.6028 0.4906 0.6292 -vn -0.1859 0.9515 0.2452 -vn -0.5739 -0.2218 0.7883 -vn -0.1162 -0.7685 0.6292 -vn 0.5024 -0.8292 0.2452 -vn 0.9193 -0.3683 -0.1388 -vn 0.8904 0.3441 -0.2979 -vn 0.4327 0.8908 -0.1388 -vn -0.6158 0.4895 0.6174 -vn -0.1967 0.9528 0.2313 -vn -0.5868 -0.2268 0.7773 -vn -0.1266 -0.7764 0.6174 -vn 0.4952 -0.8374 0.2313 -vn 0.9144 -0.3741 -0.1548 -vn 0.8854 0.3422 -0.3147 -vn 0.4251 0.8918 -0.1548 -vn -0.6046 0.4904 0.6276 -vn -0.1873 0.9517 0.2433 -vn -0.5757 -0.2225 0.7868 -vn 0.9187 -0.3691 -0.1410 -vn 0.8897 0.3439 -0.3001 -vn -0.6028 0.4907 0.6292 -vn -0.1858 0.9515 0.2452 -vn -0.5741 -0.2218 0.7882 -vn -0.1161 -0.7685 0.6292 -vn 0.5025 -0.8291 0.2452 -vn 0.8904 0.3442 -0.2979 -vn 0.4326 0.8908 -0.1388 -vn -0.6159 0.4895 0.6174 -vn -0.1968 0.9528 0.2313 -vn -0.5871 -0.2267 0.7771 -vn -0.1266 -0.7764 0.6173 -vn 0.4954 -0.8373 0.2313 -vn 0.9144 -0.3742 -0.1548 -vn 0.8853 0.3422 -0.3148 -vn 0.4250 0.8919 -0.1548 -vn -0.2559 0.6920 0.6751 -vn 0.0200 0.9992 0.0337 -vn -0.3387 -0.0183 0.9407 -vn -0.1798 -0.7155 0.6751 -vn 0.1277 -0.9912 0.0337 -vn 0.4036 -0.6840 -0.6077 -vn 0.4864 0.0263 -0.8733 -vn 0.3275 0.7235 -0.6077 -vn -0.2597 0.6922 0.6734 -vn 0.0166 0.9994 0.0319 -vn -0.3427 -0.0183 0.9393 -vn -0.1839 -0.7159 0.6735 -vn 0.1237 -0.9918 0.0317 -vn 0.3999 -0.6842 -0.6099 -vn 0.4828 0.0264 -0.8753 -vn 0.3240 0.7236 -0.6094 -vn -0.2699 0.6893 0.6724 -vn -0.0049 0.9997 0.0245 -vn -0.3363 -0.0214 0.9415 -vn -0.1674 -0.7148 0.6790 -vn 0.1375 -0.9897 0.0399 -vn 0.4020 -0.6866 -0.6058 -vn 0.4715 0.0219 -0.8816 -vn 0.3032 0.7226 -0.6212 -vn -0.2709 0.6930 0.6681 -vn -0.0202 0.9997 0.0148 -vn -0.3196 -0.0156 0.9474 -vn -0.1387 -0.7096 0.6908 -vn 0.1653 -0.9850 0.0499 -vn 0.4155 -0.6813 -0.6026 -vn 0.4655 0.0264 -0.8846 -vn 0.2851 0.7234 -0.6289 -vn -0.2486 0.7018 0.6676 -vn 0.0353 0.9988 0.0336 -vn -0.3473 -0.0053 0.9377 -vn -0.1966 -0.7139 0.6721 -vn 0.1166 -0.9930 0.0208 -vn 0.4019 -0.6742 -0.6196 -vn 0.4914 0.0394 -0.8700 -vn 0.3393 0.7262 -0.5979 -vn -0.2072 0.6932 0.6903 -vn 0.1569 0.9827 0.0986 -vn -0.4170 -0.0076 0.9089 -vn -0.3401 -0.7179 0.6074 -vn -0.0154 -0.9989 -0.0438 -vn 0.3559 -0.6791 -0.6420 -vn 0.5518 0.0309 -0.8334 -vn 0.4677 0.7108 -0.5254 -vn -0.1653 0.6695 0.7242 -vn 0.2769 0.9442 0.1786 -vn -0.4784 -0.0098 0.8781 -vn -0.4706 -0.7024 0.5340 -vn -0.1386 -0.9843 -0.1092 -vn 0.3138 -0.6847 -0.6578 -vn 0.6144 0.0025 -0.7890 -vn 0.5964 0.6701 -0.4419 -vn -0.1597 0.6471 0.7455 -vn 0.3198 0.9216 0.2201 -vn -0.5100 -0.0215 0.8599 -vn -0.5249 -0.6922 0.4953 -vn -0.1957 -0.9714 -0.1343 -vn 0.2846 -0.6955 -0.6597 -vn 0.6342 -0.0265 -0.7727 -vn 0.6483 0.6428 -0.4081 -vn -0.1703 0.6417 0.7478 -vn 0.3117 0.9241 0.2210 -vn -0.5154 -0.0298 0.8564 -vn -0.5259 -0.6939 0.4919 -vn -0.2005 -0.9708 -0.1315 -vn 0.2753 -0.7016 -0.6572 -vn 0.6274 -0.0345 -0.7779 -vn 0.6442 0.6428 -0.4144 -vn 0.6461 0.2902 0.7060 -vn 0.9082 0.4184 0.0095 -vn 0.0590 -0.0870 0.9945 -vn 0.0590 -0.0871 0.9945 -vn -0.5092 -0.4922 0.7060 -vn -0.5092 -0.4923 0.7060 -vn -0.7256 -0.6881 0.0095 -vn -0.4634 -0.5599 -0.6869 -vn 0.1237 -0.1826 -0.9754 -vn 0.6918 0.2226 -0.6869 -vn 0.6422 0.2975 0.7064 -vn 0.9047 0.4259 0.0091 -vn 0.0544 -0.0802 0.9953 -vn -0.5145 -0.4860 0.7064 -vn -0.7312 -0.6821 0.0091 -vn -0.4687 -0.5537 -0.6883 -vn 0.1192 -0.1760 -0.9772 -vn 0.6881 0.2298 -0.6883 -vn 0.6392 0.3031 0.7068 -vn 0.9020 0.4316 0.0087 -vn 0.0507 -0.0750 0.9959 -vn -0.5187 -0.4812 0.7067 -vn -0.7355 -0.6775 0.0087 -vn -0.4727 -0.5489 -0.6893 -vn 0.1157 -0.1708 -0.9785 -vn 0.6851 0.2353 -0.6894 -vn 0.6447 0.2928 0.7062 -vn 0.9070 0.4211 0.0094 -vn 0.0573 -0.0846 0.9948 -vn -0.5111 -0.4900 0.7062 -vn -0.7276 -0.6860 0.0094 -vn -0.4653 -0.5576 -0.6874 -vn 0.1221 -0.1802 -0.9760 -vn 0.6905 0.2252 -0.6874 -vn 0.6450 0.2922 0.7061 -vn 0.9073 0.4205 0.0094 -vn 0.0577 -0.0852 0.9947 -vn -0.5106 -0.4906 0.7061 -vn -0.7271 -0.6865 0.0094 -vn -0.4648 -0.5582 -0.6873 -vn 0.1225 -0.1808 -0.9759 -vn 0.6908 0.2245 -0.6873 -vn 0.6405 0.3007 0.7067 -vn 0.9032 0.4291 0.0089 -vn 0.0523 -0.0773 0.9956 -vn -0.5168 -0.4833 0.7066 -vn -0.7336 -0.6795 0.0089 -vn -0.4710 -0.5510 -0.6889 -vn 0.1171 -0.1731 -0.9779 -vn 0.6864 0.2329 -0.6889 -vn 0.6447 0.2928 0.7061 -vn 0.9070 0.4211 0.0093 -vn 0.1220 -0.1802 -0.9760 -vn 0.6904 0.2252 -0.6874 -vn 0.9072 0.4206 0.0093 -vn -0.5107 -0.4905 0.7061 -vn -0.7270 -0.6865 0.0094 -vn -0.4646 -0.5583 -0.6873 -vn 0.1226 -0.1809 -0.9758 -vn 0.6908 0.2246 -0.6873 -vn 0.6404 0.3008 0.7067 -vn 0.9031 0.4294 0.0089 -vn -0.5170 -0.4832 0.7065 -vn -0.7336 -0.6796 0.0088 -vn -0.4705 -0.5512 -0.6891 -vn 0.1175 -0.1731 -0.9779 -vn 0.6863 0.2329 -0.6890 -vn -0.6426 0.3103 0.7006 -vn -0.9214 0.3885 0.0017 -vn 0.0344 0.1365 0.9900 -vn 0.7129 -0.0309 0.7005 -vn 0.7129 -0.0309 0.7006 -vn 0.9956 -0.0940 0.0017 -vn 0.7167 -0.0158 -0.6972 -vn 0.0398 0.1580 -0.9866 -vn -0.6388 0.3254 -0.6972 -vn -0.6453 0.3031 0.7013 -vn -0.9244 0.3814 0.0016 -vn 0.0325 0.1291 0.9911 -vn 0.7119 -0.0385 0.7013 -vn 0.9948 -0.1017 0.0016 -vn 0.7157 -0.0233 -0.6980 -vn 0.0379 0.1506 -0.9879 -vn -0.6414 0.3183 -0.6981 -vn -0.6472 0.2976 0.7018 -vn -0.9266 0.3760 0.0016 -vn 0.0311 0.1235 0.9919 -vn 0.7110 -0.0443 0.7018 -vn 0.9942 -0.1075 0.0015 -vn 0.7148 -0.0291 -0.6987 -vn 0.0365 0.1450 -0.9888 -vn -0.6434 0.3128 -0.6987 -vn -0.6435 0.3077 0.7008 -vn -0.9225 0.3860 0.0017 -vn 0.0337 0.1339 0.9904 -vn 0.7125 -0.0336 0.7008 -vn 0.9953 -0.0967 0.0017 -vn 0.7164 -0.0185 -0.6975 -vn 0.0391 0.1554 -0.9871 -vn -0.6397 0.3229 -0.6975 -vn -0.6434 0.3083 0.7007 -vn -0.9223 0.3866 0.0017 -vn 0.0339 0.1345 0.9903 -vn 0.7127 -0.0330 0.7007 -vn 0.9954 -0.0961 0.0017 -vn 0.7165 -0.0178 -0.6974 -vn 0.0393 0.1560 -0.9870 -vn -0.6395 0.3235 -0.6974 -vn -0.6464 0.2999 0.7016 -vn -0.9257 0.3783 0.0016 -vn 0.0317 0.1259 0.9915 -vn 0.7114 -0.0418 0.7015 -vn 0.9945 -0.1050 0.0016 -vn 0.7152 -0.0266 -0.6984 -vn 0.0371 0.1474 -0.9884 -vn -0.6426 0.3151 -0.6984 -vn -0.6436 0.3077 0.7008 -vn 0.7126 -0.0336 0.7008 -vn 0.7163 -0.0185 -0.6976 -vn 0.0390 0.1553 -0.9871 -vn -0.6398 0.3229 -0.6975 -vn -0.6433 0.3083 0.7007 -vn -0.9222 0.3866 0.0018 -vn 0.0340 0.1345 0.9903 -vn 0.7128 -0.0330 0.7006 -vn 0.9954 -0.0961 0.0016 -vn 0.7164 -0.0179 -0.6975 -vn 0.0394 0.1560 -0.9870 -vn -0.6394 0.3235 -0.6975 -vn -0.6464 0.3000 0.7016 -vn -0.9257 0.3783 0.0018 -vn 0.0321 0.1259 0.9915 -vn 0.7116 -0.0418 0.7013 -vn 0.0375 0.1475 -0.9884 -vn -0.6424 0.3152 -0.6985 -vn 0.7628 -0.0102 0.6466 -vn 0.7627 -0.0102 0.6466 -vn 0.8316 -0.5424 0.1192 -vn 0.2126 0.4543 0.8651 -vn -0.4966 0.5790 0.6466 -vn -0.9493 0.2909 0.1192 -vn -0.8804 -0.2413 -0.4082 -vn -0.3303 -0.7059 -0.6266 -vn 0.3788 -0.8306 -0.4082 -vn 0.7670 -0.0038 0.6416 -vn 0.8360 -0.5369 0.1134 -vn 0.2160 0.4615 0.8604 -vn -0.4943 0.5864 0.6416 -vn -0.9479 0.2978 0.1134 -vn -0.8789 -0.2354 -0.4149 -vn -0.3279 -0.7007 -0.6337 -vn 0.3825 -0.8256 -0.4149 -vn 0.7703 0.0012 0.6377 -vn 0.8394 -0.5326 0.1088 -vn 0.2186 0.4671 0.8568 -vn -0.4926 0.5922 0.6377 -vn -0.9467 0.3032 0.1088 -vn -0.8777 -0.2307 -0.4201 -vn -0.3259 -0.6966 -0.6392 -vn 0.3853 -0.8216 -0.4201 -vn 0.7643 -0.0078 0.6448 -vn 0.8332 -0.5404 0.1171 -vn 0.2138 0.4570 0.8634 -vn -0.4957 0.5818 0.6448 -vn -0.9488 0.2935 0.1171 -vn -0.8799 -0.2392 -0.4106 -vn -0.3294 -0.7040 -0.6292 -vn 0.3802 -0.8288 -0.4106 -vn 0.7639 -0.0085 0.6453 -vn 0.8328 -0.5410 0.1177 -vn 0.2135 0.4563 0.8639 -vn -0.4959 0.5810 0.6453 -vn -0.9489 0.2927 0.1177 -vn -0.8800 -0.2398 -0.4100 -vn -0.3296 -0.7045 -0.6285 -vn 0.3798 -0.8293 -0.4100 -vn 0.7688 -0.0010 0.6394 -vn 0.8379 -0.5345 0.1108 -vn 0.2174 0.4647 0.8584 -vn -0.4934 0.5897 0.6394 -vn -0.9472 0.3008 0.1108 -vn -0.8782 -0.2327 -0.4179 -vn -0.3268 -0.6983 -0.6369 -vn 0.3841 -0.8233 -0.4179 -vn 0.7643 -0.0078 0.6449 -vn -0.9488 0.2934 0.1171 -vn 0.3803 -0.8287 -0.4106 -vn 0.7637 -0.0084 0.6455 -vn 0.8328 -0.5409 0.1177 -vn 0.2136 0.4562 0.8638 -vn -0.4957 0.5811 0.6454 -vn -0.9489 0.2927 0.1176 -vn -0.3297 -0.7045 -0.6285 -vn 0.7686 -0.0009 0.6397 -vn 0.8380 -0.5343 0.1108 -vn 0.2177 0.4646 0.8583 -vn -0.4930 0.5898 0.6396 -vn -0.9473 0.3007 0.1107 -vn -0.8780 -0.2329 -0.4182 -vn -0.3269 -0.6982 -0.6369 -vn 0.3837 -0.8234 -0.4180 -vn -0.1675 -0.7434 0.6476 -vn -0.7218 -0.6754 0.1514 -vn 0.4123 -0.3197 0.8531 -vn 0.6782 0.3474 0.6476 -vn 0.4743 0.8673 0.1514 -vn -0.0799 0.9353 -0.3448 -vn -0.0800 0.9353 -0.3448 -vn -0.6598 0.5116 -0.5503 -vn -0.6598 0.5116 -0.5504 -vn -0.9257 -0.1555 -0.3448 -vn -0.1617 -0.7499 0.6415 -vn -0.7172 -0.6818 0.1441 -vn 0.4195 -0.3253 0.8475 -vn 0.6860 0.3434 0.6415 -vn 0.4817 0.8644 0.1441 -vn -0.0739 0.9326 -0.3533 -vn -0.6551 0.5079 -0.5593 -vn -0.9216 -0.1608 -0.3533 -vn -0.1570 -0.7551 0.6365 -vn -0.7135 -0.6869 0.1382 -vn 0.4252 -0.3297 0.8429 -vn 0.6922 0.3401 0.6365 -vn 0.4875 0.8621 0.1382 -vn -0.0690 0.9304 -0.3600 -vn -0.6513 0.5050 -0.5664 -vn -0.9183 -0.1649 -0.3600 -vn -0.1653 -0.7459 0.6452 -vn -0.7201 -0.6778 0.1486 -vn 0.4151 -0.3218 0.8509 -vn 0.6812 0.3459 0.6452 -vn 0.4771 0.8662 0.1486 -vn -0.0776 0.9343 -0.3481 -vn -0.6580 0.5102 -0.5538 -vn -0.9241 -0.1575 -0.3480 -vn -0.1660 -0.7451 0.6460 -vn -0.7206 -0.6770 0.1495 -vn 0.4142 -0.3211 0.8516 -vn 0.6802 0.3464 0.6460 -vn 0.4762 0.8665 0.1494 -vn -0.0783 0.9346 -0.3471 -vn -0.6586 0.5106 -0.5527 -vn -0.9246 -0.1569 -0.3471 -vn -0.1591 -0.7529 0.6386 -vn -0.7151 -0.6847 0.1407 -vn 0.4228 -0.3278 0.8449 -vn 0.6896 0.3416 0.6386 -vn 0.4850 0.8631 0.1407 -vn -0.0711 0.9313 -0.3571 -vn -0.6530 0.5062 -0.5633 -vn -0.9197 -0.1632 -0.3571 -vn -0.7200 -0.6778 0.1486 -vn -0.0776 0.9343 -0.3480 -vn -0.9241 -0.1576 -0.3480 -vn -0.1662 -0.7451 0.6459 -vn -0.7206 -0.6771 0.1495 -vn 0.4142 -0.3211 0.8517 -vn 0.6802 0.3465 0.6459 -vn 0.4762 0.8666 0.1495 -vn -0.0783 0.9346 -0.3470 -vn -0.9246 -0.1570 -0.3470 -vn -0.1595 -0.7528 0.6386 -vn -0.7152 -0.6846 0.1406 -vn 0.4227 -0.3278 0.8449 -vn 0.6896 0.3417 0.6385 -vn 0.4849 0.8632 0.1407 -vn -0.0708 0.9314 -0.3570 -vn -0.6529 0.5063 -0.5633 -vn -0.9197 -0.1635 -0.3570 -vn 0.1928 -0.6747 0.7125 -vn 0.2122 -0.9771 0.0189 -vn 0.2122 -0.9770 0.0189 -vn -0.0204 -0.0077 0.9998 -vn -0.3026 0.6331 0.7125 -vn -0.4883 0.8724 0.0189 -vn -0.4883 0.8725 0.0189 -vn -0.4690 0.5701 -0.6746 -vn -0.2558 -0.0969 -0.9619 -vn 0.0264 -0.7377 -0.6746 -vn 0.0263 -0.7377 -0.6746 -vn 0.2001 -0.6727 0.7123 -vn 0.2195 -0.9755 0.0180 -vn -0.0134 -0.0051 0.9999 -vn -0.2958 0.6365 0.7123 -vn -0.4818 0.8761 0.0180 -vn -0.4624 0.5734 -0.6763 -vn -0.2490 -0.0943 -0.9639 -vn 0.0334 -0.7358 -0.6763 -vn 0.2056 -0.6712 0.7122 -vn 0.2250 -0.9742 0.0173 -vn -0.0080 -0.0030 1.0000 -vn -0.2907 0.6390 0.7122 -vn -0.4768 0.8788 0.0173 -vn -0.4574 0.5759 -0.6776 -vn -0.2438 -0.0923 -0.9654 -vn 0.0389 -0.7344 -0.6776 -vn 0.1954 -0.6740 0.7124 -vn 0.2148 -0.9765 0.0186 -vn -0.0179 -0.0068 0.9998 -vn -0.3002 0.6343 0.7124 -vn -0.4860 0.8737 0.0186 -vn -0.4666 0.5713 -0.6752 -vn -0.2533 -0.0960 -0.9626 -vn 0.0289 -0.7371 -0.6752 -vn 0.1948 -0.6742 0.7124 -vn 0.2142 -0.9766 0.0187 -vn -0.0185 -0.0070 0.9998 -vn -0.3007 0.6340 0.7124 -vn -0.4866 0.8735 0.0187 -vn -0.4672 0.5710 -0.6751 -vn -0.2539 -0.0962 -0.9624 -vn 0.0284 -0.7372 -0.6751 -vn 0.2032 -0.6719 0.7122 -vn 0.2226 -0.9747 0.0176 -vn -0.0104 -0.0039 0.9999 -vn -0.2929 0.6379 0.7122 -vn -0.4790 0.8776 0.0176 -vn -0.4596 0.5748 -0.6770 -vn -0.2461 -0.0932 -0.9648 -vn 0.0365 -0.7350 -0.6770 -vn 0.1953 -0.6740 0.7125 -vn 0.2147 -0.9765 0.0186 -vn -0.0180 -0.0068 0.9998 -vn -0.3003 0.6343 0.7124 -vn -0.4861 0.8737 0.0186 -vn -0.4667 0.5712 -0.6752 -vn -0.2534 -0.0960 -0.9626 -vn 0.0288 -0.7370 -0.6752 -vn 0.1947 -0.6741 0.7125 -vn -0.0186 -0.0070 0.9998 -vn -0.3007 0.6340 0.7125 -vn -0.4865 0.8735 0.0187 -vn -0.4672 0.5709 -0.6751 -vn -0.2540 -0.0962 -0.9624 -vn 0.0282 -0.7372 -0.6751 -vn 0.2031 -0.6719 0.7123 -vn 0.2228 -0.9747 0.0176 -vn -0.2927 0.6380 0.7123 -vn -0.4789 0.8777 0.0176 -vn -0.2463 -0.0932 -0.9647 -vn 0.0363 -0.7350 -0.6771 -vn -0.6437 0.2858 0.7099 -vn -0.6437 0.2857 0.7099 -vn -0.8629 0.5052 0.0137 -vn -0.0249 -0.0530 0.9983 -vn -0.0249 -0.0531 0.9983 -vn 0.6311 -0.3127 0.7099 -vn 0.6310 -0.3128 0.7099 -vn 0.9399 -0.3412 0.0137 -vn 0.7207 -0.1217 -0.6825 -vn 0.7208 -0.1217 -0.6824 -vn 0.1020 0.2171 -0.9708 -vn -0.5540 0.4768 -0.6825 -vn -0.6459 0.2820 0.7094 -vn -0.8651 0.5015 0.0132 -vn -0.0272 -0.0571 0.9980 -vn 0.6290 -0.3173 0.7097 -vn 0.9382 -0.3459 0.0131 -vn 0.7189 -0.1262 -0.6836 -vn 0.0997 0.2130 -0.9720 -vn -0.5564 0.4730 -0.6832 -vn -0.6556 0.2608 0.7086 -vn -0.8771 0.4802 0.0082 -vn -0.0278 -0.0677 0.9973 -vn 0.6339 -0.3115 0.7079 -vn 0.9441 -0.3294 0.0146 -vn 0.7254 -0.1126 -0.6790 -vn 0.1042 0.2137 -0.9713 -vn -0.5604 0.4600 -0.6887 -vn -0.6653 0.2461 0.7048 -vn -0.8866 0.4625 0.0067 -vn -0.0333 -0.0668 0.9972 -vn 0.6375 -0.2920 0.7130 -vn 0.9543 -0.2982 0.0213 -vn 0.7343 -0.0830 -0.6737 -vn 0.1051 0.2286 -0.9678 -vn -0.5670 0.4550 -0.6867 -vn -0.6413 0.3000 0.7062 -vn -0.8557 0.5171 0.0198 -vn -0.0361 -0.0440 0.9984 -vn 0.6186 -0.3181 0.7184 -vn 0.9340 -0.3568 0.0157 -vn 0.7110 -0.1324 -0.6907 -vn 0.0866 0.2182 -0.9721 -vn -0.5595 0.4850 -0.6721 -vn -0.5605 0.4140 0.7172 -vn -0.7671 0.6406 0.0358 -vn -0.0070 -0.0094 0.9999 -vn 0.5859 -0.3923 0.7091 -vn 0.8642 -0.5031 -0.0063 -vn 0.6460 -0.2649 -0.7159 -vn 0.0684 0.1735 -0.9825 -vn -0.5130 0.5448 -0.6634 -vn -0.4522 0.5208 0.7240 -vn -0.6512 0.7577 0.0424 -vn 0.0413 0.0224 0.9989 -vn 0.5526 -0.4574 0.6967 -vn 0.7759 -0.6304 -0.0231 -vn 0.5677 -0.3827 -0.7289 -vn 0.0567 0.1325 -0.9896 -vn -0.4453 0.6015 -0.6632 -vn -0.3976 0.5563 0.7297 -vn -0.5965 0.8017 0.0378 -vn 0.0733 0.0203 0.9971 -vn 0.5407 -0.4935 0.6813 -vn 0.7301 -0.6826 -0.0330 -vn 0.5306 -0.4363 -0.7267 -vn 0.0589 0.1013 -0.9931 -vn -0.4080 0.6142 -0.6755 -vn -0.4004 0.5488 0.7338 -vn -0.6025 0.7974 0.0341 -vn 0.0767 0.0079 0.9970 -vn 0.5427 -0.5013 0.6739 -vn 0.7282 -0.6844 -0.0363 -vn 0.5309 -0.4415 -0.7233 -vn 0.0629 0.0900 -0.9940 -vn -0.4079 0.6051 -0.6837 -vn 0.5180 0.5365 0.6663 -vn 0.9286 0.3681 0.0474 -vn -0.1730 0.3447 0.9226 -vn -0.7397 -0.0948 0.6663 -vn -0.7397 -0.0948 0.6662 -vn -0.8500 -0.5247 0.0474 -vn -0.8500 -0.5246 0.0474 -vn -0.4393 -0.6931 -0.5715 -vn -0.4394 -0.6931 -0.5715 -vn 0.2517 -0.5013 -0.8278 -vn 0.8183 -0.0618 -0.5715 -vn 0.5162 0.5408 0.6641 -vn 0.9270 0.3723 0.0449 -vn -0.1751 0.3490 0.9206 -vn -0.7421 -0.0908 0.6641 -vn -0.8525 -0.5208 0.0449 -vn -0.4416 -0.6893 -0.5743 -vn 0.2497 -0.4975 -0.8308 -vn 0.8166 -0.0577 -0.5743 -vn 0.5149 0.5440 0.6626 -vn 0.9258 0.3755 0.0431 -vn -0.1767 0.3521 0.9191 -vn -0.7439 -0.0878 0.6625 -vn -0.8543 -0.5181 0.0431 -vn -0.4433 -0.6866 -0.5763 -vn 0.2483 -0.4947 -0.8329 -vn 0.8154 -0.0548 -0.5763 -vn 0.5173 0.5379 0.6656 -vn 0.9281 0.3695 0.0465 -vn -0.1738 0.3462 0.9219 -vn -0.7405 -0.0934 0.6655 -vn -0.8508 -0.5234 0.0465 -vn -0.4401 -0.6918 -0.5725 -vn 0.2510 -0.5000 -0.8288 -vn 0.8177 -0.0604 -0.5725 -vn 0.5174 0.5377 0.6657 -vn 0.9282 0.3693 0.0466 -vn -0.1737 0.3459 0.9220 -vn -0.7403 -0.0936 0.6657 -vn -0.8507 -0.5236 0.0467 -vn -0.4400 -0.6920 -0.5723 -vn 0.2511 -0.5002 -0.8287 -vn 0.8178 -0.0606 -0.5723 -vn 0.5155 0.5426 0.6632 -vn 0.9264 0.3741 0.0439 -vn -0.1760 0.3507 0.9198 -vn -0.7431 -0.0891 0.6632 -vn -0.8535 -0.5193 0.0439 -vn -0.4426 -0.6878 -0.5754 -vn 0.2490 -0.4959 -0.8319 -vn 0.8160 -0.0560 -0.5753 -vn 0.5174 0.5380 0.6655 -vn 0.9280 0.3696 0.0466 -vn -0.7405 -0.0935 0.6655 -vn -0.8508 -0.5234 0.0466 -vn -0.4402 -0.6918 -0.5724 -vn 0.8177 -0.0604 -0.5724 -vn 0.5172 0.5378 0.6658 -vn 0.9281 0.3693 0.0468 -vn -0.7403 -0.0937 0.6658 -vn -0.4401 -0.6920 -0.5723 -vn 0.2511 -0.5003 -0.8287 -vn 0.8179 -0.0607 -0.5722 -vn 0.5150 0.5427 0.6635 -vn 0.9264 0.3740 0.0442 -vn -0.1761 0.3507 0.9198 -vn -0.7429 -0.0890 0.6634 -vn -0.4427 -0.6878 -0.5753 -vn 0.2489 -0.4959 -0.8319 -vn 0.8161 -0.0562 -0.5751 -vn -0.6558 0.4515 0.6051 -vn -0.6557 0.4515 0.6051 -vn -0.3454 0.9319 0.1108 -vn -0.5239 -0.2641 0.8098 -vn -0.0271 -0.7957 0.6051 -vn 0.5437 -0.8319 0.1108 -vn 0.8540 -0.3516 -0.3834 -vn 0.7222 0.3640 -0.5881 -vn 0.7222 0.3640 -0.5882 -vn 0.2254 0.8956 -0.3834 -vn 0.2254 0.8957 -0.3834 -vn -0.6616 0.4495 0.6002 -vn -0.3509 0.9305 0.1053 -vn -0.5296 -0.2669 0.8052 -vn -0.0322 -0.7992 0.6002 -vn 0.5393 -0.8355 0.1053 -vn 0.8500 -0.3545 -0.3896 -vn 0.7180 0.3619 -0.5946 -vn 0.2206 0.8942 -0.3896 -vn -0.6661 0.4480 0.5964 -vn -0.3551 0.9294 0.1010 -vn -0.5340 -0.2691 0.8015 -vn -0.0361 -0.8019 0.5964 -vn 0.5359 -0.8382 0.1010 -vn 0.8469 -0.3568 -0.3943 -vn 0.7148 0.3603 -0.5994 -vn 0.2169 0.8930 -0.3943 -vn -0.6579 0.4508 0.6033 -vn -0.3473 0.9314 0.1089 -vn -0.5260 -0.2651 0.8081 -vn -0.0289 -0.7970 0.6033 -vn 0.5421 -0.8332 0.1089 -vn 0.8526 -0.3527 -0.3856 -vn 0.7207 0.3633 -0.5905 -vn 0.2237 0.8951 -0.3856 -vn -0.6574 0.4510 0.6037 -vn -0.3469 0.9315 0.1093 -vn -0.5254 -0.2649 0.8086 -vn -0.0284 -0.7967 0.6037 -vn 0.5425 -0.8329 0.1093 -vn 0.8529 -0.3524 -0.3851 -vn 0.7210 0.3634 -0.5899 -vn 0.2241 0.8953 -0.3851 -vn -0.6642 0.4486 0.5980 -vn -0.3533 0.9299 0.1029 -vn -0.5321 -0.2682 0.8031 -vn -0.0344 -0.8008 0.5980 -vn 0.5374 -0.8371 0.1029 -vn 0.8483 -0.3558 -0.3922 -vn 0.7162 0.3610 -0.5973 -vn 0.2185 0.8935 -0.3922 -vn -0.5259 -0.2651 0.8081 -vn 0.8526 -0.3526 -0.3856 -vn 0.2236 0.8951 -0.3856 -vn -0.6573 0.4510 0.6038 -vn -0.5255 -0.2649 0.8085 -vn -0.0286 -0.7967 0.6038 -vn 0.5425 -0.8329 0.1094 -vn 0.8530 -0.3523 -0.3851 -vn 0.2240 0.8953 -0.3851 -vn -0.6640 0.4486 0.5982 -vn -0.3532 0.9299 0.1029 -vn -0.5322 -0.2681 0.8030 -vn -0.0348 -0.8007 0.5980 -vn 0.5374 -0.8370 0.1030 -vn 0.2185 0.8936 -0.3922 -vn -0.8682 -0.4391 0.2310 -vn -0.8683 -0.4391 0.2310 -vn -0.9548 0.2951 0.0348 -vn -0.2714 -0.9104 0.3123 -vn 0.4861 -0.8428 0.2310 -vn 0.9606 -0.2759 0.0348 -vn 0.9606 -0.2758 0.0348 -vn 0.8740 0.4583 -0.1615 -vn 0.2771 0.9297 -0.2428 -vn 0.2771 0.9296 -0.2428 -vn -0.4804 0.8620 -0.1615 -vn -0.4804 0.8621 -0.1615 -vn -0.8684 -0.4396 0.2292 -vn -0.9550 0.2947 0.0329 -vn -0.2716 -0.9109 0.3105 -vn 0.4860 -0.8434 0.2292 -vn 0.9605 -0.2763 0.0329 -vn 0.8739 0.4578 -0.1633 -vn 0.2770 0.9292 -0.2447 -vn -0.4806 0.8616 -0.1634 -vn -0.8686 -0.4400 0.2280 -vn -0.9552 0.2943 0.0316 -vn -0.2717 -0.9114 0.3093 -vn 0.4859 -0.8438 0.2279 -vn 0.9604 -0.2768 0.0316 -vn 0.8738 0.4575 -0.1647 -vn 0.2769 0.9289 -0.2460 -vn -0.4807 0.8613 -0.1647 -vn -0.8683 -0.4393 0.2305 -vn -0.9549 0.2950 0.0342 -vn -0.2714 -0.9106 0.3117 -vn 0.4860 -0.8430 0.2305 -vn 0.9605 -0.2761 0.0342 -vn 0.8740 0.4582 -0.1621 -vn 0.2771 0.9295 -0.2434 -vn -0.4805 0.8619 -0.1621 -vn -0.8683 -0.4392 0.2305 -vn -0.2714 -0.9106 0.3118 -vn 0.8740 0.4581 -0.1620 -vn -0.8685 -0.4398 0.2285 -vn -0.9551 0.2944 0.0322 -vn -0.2716 -0.9112 0.3098 -vn 0.4859 -0.8436 0.2285 -vn 0.9604 -0.2766 0.0322 -vn 0.8739 0.4576 -0.1641 -vn 0.2770 0.9290 -0.2454 -vn -0.4807 0.8614 -0.1641 -vn 0.4861 -0.8430 0.2304 -vn 0.9606 -0.2760 0.0342 -vn 0.8739 0.4582 -0.1621 -vn -0.4804 0.8619 -0.1621 -vn -0.8684 -0.4391 0.2304 -vn -0.2715 -0.9105 0.3118 -vn 0.4863 -0.8428 0.2305 -vn 0.9606 -0.2758 0.0342 -vn 0.8739 0.4583 -0.1621 -vn 0.2770 0.9295 -0.2434 -vn -0.8686 -0.4397 0.2284 -vn -0.9550 0.2948 0.0321 -vn -0.2718 -0.9111 0.3098 -vn 0.4862 -0.8434 0.2285 -vn 0.9606 -0.2759 0.0320 -vn 0.2769 0.9290 -0.2454 -vn -0.4808 0.8614 -0.1640 -vn 0.4791 0.3927 0.7850 -vn 0.4790 0.3927 0.7850 -vn 0.9136 0.2896 0.2856 -vn -0.0843 0.0949 0.9919 -vn -0.4465 -0.4294 0.7850 -vn -0.4465 -0.4293 0.7850 -vn -0.3954 -0.8730 0.2856 -vn 0.0390 -0.9761 -0.2139 -vn 0.0391 -0.9761 -0.2139 -vn 0.6024 -0.6783 -0.4208 -vn 0.9646 -0.1540 -0.2139 -vn 0.4719 0.4111 0.7800 -vn 0.9112 0.3068 0.2750 -vn -0.0977 0.1100 0.9891 -vn -0.4639 -0.4200 0.7800 -vn -0.4123 -0.8686 0.2750 -vn 0.0271 -0.9728 -0.2300 -vn 0.5966 -0.6717 -0.4391 -vn 0.9628 -0.1417 -0.2300 -vn 0.4650 0.4282 0.7749 -vn 0.9086 0.3229 0.2649 -vn -0.1102 0.1241 0.9861 -vn -0.4801 -0.4112 0.7749 -vn -0.4280 -0.8641 0.2649 -vn 0.0156 -0.9694 -0.2451 -vn 0.5909 -0.6653 -0.4564 -vn 0.9607 -0.1300 -0.2451 -vn 0.4756 0.4017 0.7826 -vn 0.9124 0.2980 0.2804 -vn -0.0908 0.1023 0.9906 -vn -0.4550 -0.4248 0.7826 -vn -0.4037 -0.8709 0.2804 -vn 0.0331 -0.9745 -0.2218 -vn 0.5996 -0.6751 -0.4298 -vn 0.9638 -0.1480 -0.2218 -vn 0.4776 0.3966 0.7840 -vn 0.9131 0.2932 0.2834 -vn -0.0871 0.0981 0.9914 -vn -0.4502 -0.4274 0.7840 -vn -0.3990 -0.8721 0.2834 -vn 0.0365 -0.9754 -0.2173 -vn 0.6012 -0.6769 -0.4246 -vn 0.9643 -0.1514 -0.2172 -vn 0.4679 0.4211 0.7770 -vn 0.9097 0.3162 0.2691 -vn -0.1050 0.1182 0.9874 -vn -0.4734 -0.4149 0.7770 -vn -0.4214 -0.8660 0.2691 -vn 0.0204 -0.9709 -0.2388 -vn 0.5933 -0.6680 -0.4492 -vn 0.9617 -0.1349 -0.2388 -vn 0.4757 0.4017 0.7825 -vn -0.4551 -0.4249 0.7826 -vn 0.4775 0.3966 0.7840 -vn -0.0872 0.0981 0.9914 -vn -0.4503 -0.4274 0.7839 -vn -0.3990 -0.8720 0.2834 -vn 0.6012 -0.6770 -0.4246 -vn 0.4678 0.4211 0.7771 -vn -0.1052 0.1182 0.9874 -vn -0.4735 -0.4149 0.7770 -vn -0.4215 -0.8660 0.2690 -vn 0.0204 -0.9708 -0.2389 -vn 0.9616 -0.1349 -0.2388 -vn -0.4274 -0.7392 0.5206 -vn -0.9244 -0.2619 0.2771 -vn 0.2963 -0.7253 0.6214 -vn 0.8227 -0.2285 0.5205 -vn 0.8434 0.4603 0.2771 -vn 0.3463 0.9375 0.0337 -vn 0.3464 0.9375 0.0337 -vn -0.3773 0.9237 -0.0671 -vn -0.3773 0.9236 -0.0671 -vn -0.9037 0.4268 0.0337 -vn -0.4272 -0.7473 0.5090 -vn -0.9264 -0.2680 0.2645 -vn 0.2996 -0.7334 0.6102 -vn 0.8282 -0.2344 0.5090 -vn 0.8491 0.4573 0.2645 -vn 0.3499 0.9366 0.0201 -vn -0.3769 0.9227 -0.0812 -vn -0.9056 0.4237 0.0201 -vn -0.4270 -0.7540 0.4992 -vn -0.9279 -0.2730 0.2539 -vn 0.3023 -0.7400 0.6008 -vn 0.8328 -0.2393 0.4992 -vn 0.8536 0.4548 0.2539 -vn 0.3527 0.9357 0.0086 -vn -0.3765 0.9217 -0.0930 -vn -0.9070 0.4211 0.0086 -vn -0.4273 -0.7425 0.5158 -vn -0.9253 -0.2644 0.2720 -vn 0.2977 -0.7287 0.6168 -vn 0.8250 -0.2309 0.5158 -vn 0.8457 0.4591 0.2720 -vn 0.3478 0.9372 0.0281 -vn -0.3772 0.9233 -0.0729 -vn -0.9045 0.4256 0.0281 -vn -0.4274 -0.7412 0.5177 -vn -0.9249 -0.2634 0.2740 -vn 0.2971 -0.7273 0.6186 -vn 0.8241 -0.2299 0.5177 -vn 0.8448 0.4595 0.2740 -vn 0.3472 0.9373 0.0304 -vn -0.3772 0.9234 -0.0706 -vn -0.9042 0.4261 0.0304 -vn -0.4271 -0.7511 0.5034 -vn -0.9273 -0.2709 0.2584 -vn 0.3011 -0.7372 0.6049 -vn 0.8308 -0.2372 0.5034 -vn 0.8517 0.4559 0.2585 -vn 0.3515 0.9361 0.0135 -vn -0.3767 0.9221 -0.0880 -vn -0.9064 0.4222 0.0135 -vn -0.9252 -0.2645 0.2720 -vn 0.2977 -0.7286 0.6168 -vn 0.3478 0.9371 0.0281 -vn -0.4274 -0.7411 0.5177 -vn -0.9250 -0.2634 0.2740 -vn 0.2971 -0.7273 0.6187 -vn -0.4273 -0.7510 0.5033 -vn -0.9273 -0.2708 0.2583 -vn 0.3012 -0.7372 0.6049 -vn 0.8309 -0.2372 0.5033 -vn 0.8518 0.4558 0.2584 -vn 0.3514 0.9361 0.0135 -vn -0.9064 0.4223 0.0135 -vn -0.1649 0.7000 0.6949 -vn -0.1649 0.6999 0.6949 -vn 0.0911 0.9949 0.0426 -vn -0.2619 -0.0041 0.9651 -vn -0.1431 -0.7047 0.6949 -vn 0.1220 -0.9916 0.0426 -vn 0.3780 -0.6966 -0.6098 -vn 0.4750 0.0074 -0.8800 -vn 0.4750 0.0074 -0.8799 -vn 0.3562 0.7081 -0.6098 -vn 0.3562 0.7080 -0.6098 -vn -0.1705 0.7003 0.6931 -vn 0.0857 0.9955 0.0404 -vn -0.2676 -0.0042 0.9635 -vn -0.1487 -0.7053 0.6931 -vn 0.1166 -0.9924 0.0404 -vn 0.3728 -0.6972 -0.6124 -vn 0.4698 0.0073 -0.8827 -vn 0.3509 0.7084 -0.6123 -vn -0.1764 0.7007 0.6913 -vn 0.0799 0.9961 0.0381 -vn -0.2736 -0.0042 0.9618 -vn -0.1546 -0.7059 0.6913 -vn 0.1108 -0.9931 0.0381 -vn 0.3672 -0.6977 -0.6151 -vn 0.4643 0.0072 -0.8856 -vn 0.3453 0.7088 -0.6151 -vn -0.4964 0.6263 0.6011 -vn -0.8701 0.4906 -0.0464 -vn -0.8701 0.4907 -0.0464 -vn 0.1935 0.4548 0.8693 -vn 0.1936 0.4548 0.8693 -vn 0.7955 0.0765 0.6011 -vn 0.9568 -0.2869 -0.0463 -vn 0.9568 -0.2869 -0.0464 -vn 0.5831 -0.4226 -0.6938 -vn -0.1069 -0.2511 -0.9620 -vn -0.7088 0.1272 -0.6939 -vn -0.7088 0.1272 -0.6938 -vn -0.4989 0.6215 0.6039 -vn -0.8730 0.4857 -0.0440 -vn 0.1915 0.4499 0.8723 -vn 0.7938 0.0713 0.6039 -vn 0.9553 -0.2924 -0.0440 -vn 0.5813 -0.4282 -0.6919 -vn -0.1092 -0.2566 -0.9603 -vn -0.7116 0.1220 -0.6919 -vn -0.5009 0.6179 0.6060 -vn -0.8751 0.4821 -0.0422 -vn 0.1899 0.4462 0.8746 -vn 0.7926 0.0674 0.6061 -vn 0.9541 -0.2965 -0.0422 -vn 0.5799 -0.4323 -0.6905 -vn -0.1109 -0.2606 -0.9590 -vn -0.7136 0.1182 -0.6905 -vn -0.4972 0.6247 0.6021 -vn -0.8711 0.4890 -0.0456 -vn 0.1929 0.4531 0.8704 -vn 0.7949 0.0747 0.6021 -vn 0.9563 -0.2888 -0.0455 -vn 0.5825 -0.4245 -0.6931 -vn -0.1076 -0.2530 -0.9615 -vn -0.7098 0.1254 -0.6932 -vn -0.4972 0.6250 0.6019 -vn -0.8710 0.4892 -0.0457 -vn 0.1930 0.4534 0.8701 -vn 0.7951 0.0750 0.6019 -vn 0.9564 -0.2885 -0.0457 -vn 0.5826 -0.4242 -0.6932 -vn -0.1075 -0.2526 -0.9616 -vn -0.7096 0.1258 -0.6933 -vn -0.5002 0.6195 0.6050 -vn -0.8742 0.4836 -0.0430 -vn 0.1906 0.4478 0.8736 -vn 0.7932 0.0690 0.6051 -vn 0.9546 -0.2947 -0.0429 -vn 0.5805 -0.4306 -0.6911 -vn -0.1102 -0.2588 -0.9596 -vn -0.7128 0.1199 -0.6911 -vn -0.1368 0.7128 0.6879 -vn 0.1271 0.9915 0.0287 -vn -0.2763 0.0143 0.9610 -vn -0.2095 -0.6949 0.6879 -vn 0.0244 -0.9993 0.0287 -vn 0.2884 -0.7206 -0.6305 -vn 0.4278 -0.0221 -0.9036 -vn 0.3610 0.6871 -0.6305 -vn 0.3611 0.6871 -0.6305 -vn -0.1408 0.7132 0.6866 -vn 0.1232 0.9920 0.0272 -vn -0.2803 0.0145 0.9598 -vn -0.2135 -0.6949 0.6866 -vn 0.0205 -0.9994 0.0272 -vn 0.2845 -0.7206 -0.6322 -vn 0.4240 -0.0219 -0.9054 -vn 0.3572 0.6875 -0.6322 -vn -0.1450 0.7136 0.6853 -vn 0.1192 0.9925 0.0257 -vn -0.2845 0.0147 0.9586 -vn -0.2177 -0.6949 0.6853 -vn 0.0164 -0.9995 0.0257 -vn 0.2806 -0.7206 -0.6340 -vn 0.4201 -0.0217 -0.9072 -vn 0.3532 0.6879 -0.6340 -vn -0.4300 -0.6328 0.6439 -vn -0.4302 -0.6328 0.6438 -vn -0.8383 -0.5453 0.0026 -vn -0.8383 -0.5451 0.0025 -vn 0.2288 -0.3469 0.9096 -vn 0.2284 -0.3470 0.9096 -vn 0.7513 0.1450 0.6438 -vn 0.7514 0.1451 0.6437 -vn 0.8320 0.5547 0.0026 -vn 0.8321 0.5546 0.0027 -vn 0.4240 0.6422 -0.6385 -vn 0.4238 0.6423 -0.6386 -vn -0.2347 0.3565 -0.9043 -vn -0.2349 0.3564 -0.9043 -vn -0.7577 -0.1356 -0.6384 -vn -0.7575 -0.1356 -0.6386 -vn -0.4305 -0.6328 0.6435 -vn -0.8382 -0.5454 0.0025 -vn 0.2285 -0.3472 0.9095 -vn 0.7517 0.1448 0.6434 -vn 0.8323 0.5543 0.0026 -vn 0.4237 0.6421 -0.6389 -vn -0.2347 0.3561 -0.9045 -vn -0.7570 -0.1358 -0.6391 -vn -0.4305 -0.6330 0.6434 -vn -0.8382 -0.5454 0.0022 -vn 0.2288 -0.3475 0.9093 -vn 0.7519 0.1446 0.6432 -vn 0.8324 0.5542 0.0024 -vn 0.4238 0.6419 -0.6390 -vn -0.2343 0.3559 -0.9047 -vn -0.7568 -0.1361 -0.6393 -vn -0.0225 -0.7050 0.7088 -vn -0.0225 -0.7050 0.7089 -vn -0.0668 -0.9977 0.0063 -vn -0.0164 -0.0003 0.9999 -vn -0.0520 0.7034 0.7088 -vn -0.0520 0.7034 0.7089 -vn -0.1084 0.9941 0.0063 -vn -0.1527 0.7013 -0.6963 -vn -0.1589 -0.0033 -0.9873 -vn -0.1233 -0.7071 -0.6963 -vn -0.0180 -0.7052 0.7088 -vn -0.0623 -0.9980 0.0060 -vn -0.0118 -0.0002 0.9999 -vn -0.0474 0.7038 0.7088 -vn -0.1039 0.9946 0.0060 -vn -0.1482 0.7017 -0.6969 -vn -0.1544 -0.0032 -0.9880 -vn -0.1188 -0.7073 -0.6969 -vn -0.0147 -0.7053 0.7088 -vn -0.0590 -0.9982 0.0057 -vn -0.0085 -0.0002 1.0000 -vn -0.0441 0.7041 0.7088 -vn -0.1006 0.9949 0.0057 -vn -0.1449 0.7020 -0.6973 -vn -0.1511 -0.0032 -0.9885 -vn -0.1155 -0.7074 -0.6973 -vn -0.0210 -0.7050 0.7089 -vn -0.0653 -0.9978 0.0062 -vn -0.0149 -0.0003 0.9999 -vn -0.0505 0.7035 0.7089 -vn -0.1069 0.9942 0.0062 -vn -0.1512 0.7014 -0.6965 -vn -0.1574 -0.0033 -0.9875 -vn -0.1218 -0.7072 -0.6965 -vn -0.0212 -0.7050 0.7089 -vn -0.0655 -0.9978 0.0062 -vn -0.0151 -0.0003 0.9999 -vn -0.0507 0.7035 0.7089 -vn -0.1071 0.9942 0.0062 -vn -0.1514 0.7014 -0.6965 -vn -0.1576 -0.0033 -0.9875 -vn -0.1220 -0.7071 -0.6965 -vn -0.0161 -0.7052 0.7088 -vn -0.0604 -0.9982 0.0059 -vn -0.0100 -0.0002 1.0000 -vn -0.0456 0.7039 0.7088 -vn -0.1021 0.9948 0.0059 -vn -0.1464 0.7018 -0.6971 -vn -0.1526 -0.0032 -0.9883 -vn -0.1169 -0.7074 -0.6971 -vn 0.6915 0.2229 0.6871 -vn 0.9997 0.0135 0.0202 -vn 0.9997 0.0135 0.0203 -vn -0.0193 0.2676 0.9633 -vn -0.7164 0.1214 0.6871 -vn -0.9913 -0.1301 0.0203 -vn -0.9913 -0.1301 0.0202 -vn -0.6831 -0.3395 -0.6466 -vn 0.0277 -0.3841 -0.9229 -vn 0.7247 -0.2379 -0.6467 -vn 0.6914 0.2260 0.6862 -vn 0.9997 0.0166 0.0192 -vn -0.0195 0.2707 0.9625 -vn -0.7167 0.1244 0.6862 -vn -0.9917 -0.1271 0.0192 -vn -0.6835 -0.3365 -0.6478 -vn 0.0275 -0.3812 -0.9241 -vn 0.7247 -0.2349 -0.6478 -vn 0.6913 0.2283 0.6856 -vn 0.9997 0.0188 0.0185 -vn -0.0197 0.2729 0.9618 -vn -0.7169 0.1266 0.6856 -vn -0.9920 -0.1249 0.0185 -vn -0.6838 -0.3343 -0.6486 -vn 0.0274 -0.3790 -0.9250 -vn 0.7247 -0.2327 -0.6486 -vn 0.6915 0.2239 0.6868 -vn 0.9997 0.0145 0.0199 -vn -0.0193 0.2686 0.9631 -vn -0.7164 0.1224 0.6869 -vn -0.9914 -0.1291 0.0199 -vn -0.6833 -0.3385 -0.6470 -vn 0.0276 -0.3832 -0.9233 -vn 0.7248 -0.2369 -0.6470 -vn 0.6916 0.2238 0.6868 -vn 0.9997 0.0144 0.0199 -vn -0.0193 0.2685 0.9631 -vn -0.7165 0.1223 0.6868 -vn -0.9914 -0.1292 0.0200 -vn -0.6832 -0.3386 -0.6470 -vn 0.0278 -0.3833 -0.9232 -vn 0.7247 -0.2370 -0.6470 -vn 0.6915 0.2272 0.6857 -vn 0.9997 0.0178 0.0186 -vn -0.0197 0.2719 0.9621 -vn -0.7170 0.1257 0.6857 -vn -0.9919 -0.1258 0.0187 -vn -0.6836 -0.3353 -0.6483 -vn 0.0277 -0.3800 -0.9246 -vn 0.7247 -0.2337 -0.6482 -vn -0.7791 -0.0915 0.6202 -vn -0.7792 -0.0915 0.6201 -vn -0.9034 0.4224 0.0740 -vn -0.9034 0.4223 0.0740 -vn -0.1803 -0.5013 0.8463 -vn -0.1804 -0.5013 0.8463 -vn 0.5423 -0.5670 0.6201 -vn 0.9654 -0.2500 0.0740 -vn 0.8411 0.2638 -0.4721 -vn 0.2423 0.6736 -0.6982 -vn -0.4803 0.7393 -0.4721 -vn -0.4802 0.7393 -0.4721 -vn -0.7814 -0.0959 0.6166 -vn -0.9056 0.4183 0.0703 -vn -0.1821 -0.5061 0.8430 -vn 0.5411 -0.5718 0.6166 -vn 0.9645 -0.2547 0.0703 -vn 0.8402 0.2595 -0.4761 -vn 0.2409 0.6696 -0.7025 -vn -0.4823 0.7353 -0.4762 -vn -0.7837 -0.1006 0.6129 -vn -0.9078 0.4141 0.0663 -vn -0.1838 -0.5112 0.8396 -vn 0.5400 -0.5768 0.6129 -vn 0.9634 -0.2596 0.0663 -vn 0.8392 0.2549 -0.4804 -vn 0.2393 0.6654 -0.7071 -vn -0.4844 0.7311 -0.4805 -vn -0.3392 0.6222 0.7055 -vn -0.2923 0.9561 0.0220 -vn -0.1391 -0.0565 0.9887 -vn 0.1908 -0.6825 0.7055 -vn 0.4573 -0.8890 0.0220 -vn 0.4572 -0.8891 0.0220 -vn 0.5042 -0.5552 -0.6615 -vn 0.5041 -0.5552 -0.6615 -vn 0.3041 0.1235 -0.9446 -vn 0.3040 0.1235 -0.9446 -vn -0.0258 0.7495 -0.6615 -vn -0.0259 0.7495 -0.6615 -vn -0.3437 0.6207 0.7047 -vn -0.2967 0.9548 0.0209 -vn -0.1435 -0.0583 0.9879 -vn 0.1865 -0.6845 0.7047 -vn 0.4532 -0.8912 0.0209 -vn 0.5001 -0.5572 -0.6629 -vn 0.2998 0.1218 -0.9462 -vn -0.0301 0.7481 -0.6629 -vn -0.3485 0.6191 0.7038 -vn -0.3012 0.9533 0.0197 -vn -0.1481 -0.0601 0.9871 -vn 0.1822 -0.6866 0.7038 -vn 0.4490 -0.8933 0.0197 -vn 0.4959 -0.5591 -0.6644 -vn 0.2955 0.1201 -0.9478 -vn -0.0345 0.7466 -0.6644 -vn -0.7102 -0.0473 0.7024 -vn -0.9895 0.1433 0.0183 -vn -0.0118 -0.1673 0.9858 -vn 0.6966 -0.1463 0.7024 -vn 0.6965 -0.1463 0.7025 -vn 0.9998 0.0033 0.0183 -vn 0.9998 0.0033 0.0184 -vn 0.7206 0.1938 -0.6658 -vn 0.7205 0.1939 -0.6658 -vn 0.0221 0.3138 -0.9492 -vn -0.6863 0.2929 -0.6658 -vn -0.6862 0.2929 -0.6658 -vn -0.7107 -0.0511 0.7016 -vn -0.9901 0.1395 0.0174 -vn -0.0118 -0.1711 0.9852 -vn 0.6967 -0.1501 0.7015 -vn 0.9998 -0.0006 0.0175 -vn 0.7205 0.1901 -0.6669 -vn 0.0218 0.3101 -0.9504 -vn -0.6868 0.2891 -0.6669 -vn -0.7113 -0.0551 0.7008 -vn -0.9906 0.1355 0.0167 -vn -0.0119 -0.1752 0.9845 -vn 0.6969 -0.1541 0.7004 -vn 0.9999 -0.0046 0.0166 -vn 0.7205 0.1862 -0.6680 -vn 0.0217 0.3063 -0.9517 -vn -0.6873 0.2852 -0.6680 -s 1 -mtllib leafwood.mtl -usemtl TrunkAndBranches -f 1/1/1 9/2/2 16/3/3 8/4/4 -f 2/5/5 10/6/6 9/7/2 1/8/1 -f 3/9/7 11/10/8 10/6/6 2/5/5 -f 4/11/9 12/12/10 11/10/8 3/9/7 -f 5/13/11 13/14/12 12/12/10 4/11/9 -f 6/15/13 14/16/14 13/14/12 5/13/11 -f 7/17/15 15/18/15 14/16/14 6/15/13 -f 8/4/4 16/3/3 15/18/15 7/17/15 -f 9/2/2 17/19/16 24/20/17 16/3/3 -f 10/6/6 18/21/18 17/22/16 9/7/2 -f 11/10/8 19/23/19 18/21/18 10/6/6 -f 12/12/10 20/24/20 19/23/19 11/10/8 -f 13/14/12 21/25/21 20/24/20 12/12/10 -f 14/16/14 22/26/22 21/25/21 13/14/12 -f 15/18/15 23/27/23 22/26/22 14/16/14 -f 16/3/3 24/20/17 23/27/23 15/18/15 -f 17/19/16 25/28/24 32/29/25 24/20/17 -f 18/21/18 26/30/26 25/31/24 17/22/16 -f 19/23/19 27/32/27 26/30/26 18/21/18 -f 20/24/20 28/33/28 27/32/27 19/23/19 -f 21/25/21 29/34/29 28/33/28 20/24/20 -f 22/26/22 30/35/30 29/34/29 21/25/21 -f 23/27/23 31/36/31 30/35/30 22/26/22 -f 24/20/17 32/29/25 31/36/31 23/27/23 -f 25/28/24 33/37/32 40/38/33 32/29/25 -f 26/30/26 34/39/34 33/40/32 25/31/24 -f 27/32/27 35/41/35 34/39/34 26/30/26 -f 28/33/28 36/42/36 35/41/35 27/32/27 -f 29/34/29 37/43/37 36/42/36 28/33/28 -f 30/35/30 38/44/38 37/43/37 29/34/29 -f 31/36/31 39/45/39 38/44/38 30/35/30 -f 32/29/25 40/38/33 39/45/39 31/36/31 -f 33/37/32 41/46/40 48/47/41 40/38/33 -f 34/39/34 42/48/42 41/49/40 33/40/32 -f 35/41/35 43/50/43 42/48/42 34/39/34 -f 36/42/36 44/51/44 43/50/43 35/41/35 -f 37/43/37 45/52/45 44/51/44 36/42/36 -f 38/44/38 46/53/46 45/52/45 37/43/37 -f 39/45/39 47/54/47 46/53/46 38/44/38 -f 40/38/33 48/47/41 47/54/47 39/45/39 -f 41/46/40 49/55/48 56/56/49 48/47/41 -f 42/48/42 50/57/50 49/58/48 41/49/40 -f 43/50/43 51/59/51 50/57/50 42/48/42 -f 44/51/44 52/60/52 51/59/51 43/50/43 -f 45/52/45 53/61/53 52/60/52 44/51/44 -f 46/53/46 54/62/54 53/61/53 45/52/45 -f 47/54/47 55/63/55 54/62/54 46/53/46 -f 48/47/41 56/56/49 55/63/55 47/54/47 -f 49/55/48 57/64/56 64/65/57 56/56/49 -f 50/57/50 58/66/58 57/67/56 49/58/48 -f 51/59/51 59/68/59 58/66/58 50/57/50 -f 52/60/52 60/69/60 59/68/59 51/59/51 -f 53/61/53 61/70/61 60/69/60 52/60/52 -f 54/62/54 62/71/62 61/70/61 53/61/53 -f 55/63/55 63/72/63 62/71/62 54/62/54 -f 56/56/49 64/65/57 63/72/63 55/63/55 -f 57/64/56 65/73/64 72/74/65 64/65/57 -f 58/66/58 66/75/66 65/76/64 57/67/56 -f 59/68/59 67/77/67 66/75/66 58/66/58 -f 60/69/60 68/78/68 67/77/67 59/68/59 -f 61/70/61 69/79/69 68/78/68 60/69/60 -f 62/71/62 70/80/70 69/79/69 61/70/61 -f 63/72/63 71/81/71 70/80/70 62/71/62 -f 64/65/57 72/74/65 71/81/71 63/72/63 -f 65/73/64 73/82/72 80/83/73 72/74/65 -f 66/75/66 74/84/74 73/85/72 65/76/64 -f 67/77/67 75/86/75 74/84/74 66/75/66 -f 68/78/68 76/87/76 75/86/75 67/77/67 -f 69/79/69 77/88/77 76/87/76 68/78/68 -f 70/80/70 78/89/78 77/88/77 69/79/69 -f 71/81/71 79/90/79 78/89/78 70/80/70 -f 72/74/65 80/83/73 79/90/79 71/81/71 -f 73/82/72 81/91/80 88/92/81 80/83/73 -f 74/84/74 82/93/82 81/94/80 73/85/72 -f 75/86/75 83/95/83 82/93/82 74/84/74 -f 76/87/76 84/96/84 83/95/83 75/86/75 -f 77/88/77 85/97/85 84/96/84 76/87/76 -f 78/89/78 86/98/86 85/97/85 77/88/77 -f 79/90/79 87/99/87 86/98/86 78/89/78 -f 80/83/73 88/92/81 87/99/87 79/90/79 -f 81/91/80 89/100/88 96/101/89 88/92/81 -f 82/93/82 90/102/90 89/103/88 81/94/80 -f 83/95/83 91/104/91 90/102/90 82/93/82 -f 84/96/84 92/105/92 91/104/91 83/95/83 -f 85/97/85 93/106/93 92/105/92 84/96/84 -f 86/98/86 94/107/94 93/106/93 85/97/85 -f 87/99/87 95/108/95 94/107/94 86/98/86 -f 88/92/81 96/101/89 95/108/95 87/99/87 -f 89/100/88 97/109/96 104/110/97 96/101/89 -f 90/102/90 98/111/98 97/112/96 89/103/88 -f 91/104/91 99/113/99 98/111/98 90/102/90 -f 92/105/92 100/114/100 99/113/99 91/104/91 -f 93/106/93 101/115/101 100/114/100 92/105/92 -f 94/107/94 102/116/102 101/115/101 93/106/93 -f 95/108/95 103/117/103 102/116/102 94/107/94 -f 96/101/89 104/110/97 103/117/103 95/108/95 -f 97/109/96 105/118/104 112/119/105 104/110/97 -f 98/111/98 106/120/106 105/121/104 97/112/96 -f 99/113/99 107/122/107 106/120/106 98/111/98 -f 100/114/100 108/123/108 107/122/107 99/113/99 -f 101/115/101 109/124/109 108/123/108 100/114/100 -f 102/116/102 110/125/110 109/124/109 101/115/101 -f 103/117/103 111/126/111 110/125/110 102/116/102 -f 104/110/97 112/119/105 111/126/111 103/117/103 -f 105/118/104 113/127/112 120/128/113 112/119/105 -f 106/120/106 114/129/114 113/130/112 105/121/104 -f 107/122/107 115/131/115 114/129/114 106/120/106 -f 108/123/108 116/132/116 115/131/115 107/122/107 -f 109/124/109 117/133/117 116/132/116 108/123/108 -f 110/125/110 118/134/118 117/133/117 109/124/109 -f 111/126/111 119/135/119 118/134/118 110/125/110 -f 112/119/105 120/128/113 119/135/119 111/126/111 -f 113/127/112 121/136/120 128/137/121 120/128/113 -f 114/129/114 122/138/122 121/139/120 113/130/112 -f 115/131/115 123/140/123 122/138/122 114/129/114 -f 116/132/116 124/141/124 123/140/123 115/131/115 -f 117/133/117 125/142/125 124/141/124 116/132/116 -f 118/134/118 126/143/126 125/142/125 117/133/117 -f 119/135/119 127/144/127 126/143/126 118/134/118 -f 120/128/113 128/137/121 127/144/127 119/135/119 -f 121/136/120 129/145/128 136/146/129 128/137/121 -f 122/138/122 130/147/130 129/148/128 121/139/120 -f 123/140/123 131/149/131 130/147/130 122/138/122 -f 124/141/124 132/150/132 131/149/131 123/140/123 -f 125/142/125 133/151/133 132/150/132 124/141/124 -f 126/143/126 134/152/134 133/151/133 125/142/125 -f 127/144/127 135/153/135 134/152/134 126/143/126 -f 128/137/121 136/146/129 135/153/135 127/144/127 -f 129/145/128 137/154/136 144/155/137 136/146/129 -f 130/147/130 138/156/138 137/157/136 129/148/128 -f 131/149/131 139/158/139 138/156/138 130/147/130 -f 132/150/132 140/159/140 139/158/139 131/149/131 -f 133/151/133 141/160/141 140/159/140 132/150/132 -f 134/152/134 142/161/142 141/160/141 133/151/133 -f 135/153/135 143/162/143 142/161/142 134/152/134 -f 136/146/129 144/155/137 143/162/143 135/153/135 -f 137/154/136 145/163/144 152/164/145 144/155/137 -f 138/156/138 146/165/146 145/166/144 137/157/136 -f 139/158/139 147/167/147 146/165/146 138/156/138 -f 140/159/140 148/168/148 147/167/147 139/158/139 -f 141/160/141 149/169/149 148/168/148 140/159/140 -f 142/161/142 150/170/150 149/169/149 141/160/141 -f 143/162/143 151/171/151 150/170/150 142/161/142 -f 144/155/137 152/164/145 151/171/151 143/162/143 -f 145/163/144 153/172/152 160/173/153 152/164/145 -f 146/165/146 154/174/154 153/175/152 145/166/144 -f 147/167/147 155/176/155 154/174/154 146/165/146 -f 148/168/148 156/177/156 155/176/155 147/167/147 -f 149/169/149 157/178/157 156/177/156 148/168/148 -f 150/170/150 158/179/158 157/178/157 149/169/149 -f 151/171/151 159/180/159 158/179/158 150/170/150 -f 152/164/145 160/173/153 159/180/159 151/171/151 -f 153/172/152 161/181/160 168/182/161 160/173/153 -f 154/174/154 162/183/162 161/184/160 153/175/152 -f 155/176/155 163/185/163 162/183/162 154/174/154 -f 156/177/156 164/186/164 163/185/163 155/176/155 -f 157/178/157 165/187/165 164/186/164 156/177/156 -f 158/179/158 166/188/166 165/187/165 157/178/157 -f 159/180/159 167/189/167 166/188/166 158/179/158 -f 160/173/153 168/182/161 167/189/167 159/180/159 -f 161/181/160 169/190/168 176/191/169 168/182/161 -f 162/183/162 170/192/170 169/193/168 161/184/160 -f 163/185/163 171/194/171 170/192/170 162/183/162 -f 164/186/164 172/195/172 171/194/171 163/185/163 -f 165/187/165 173/196/173 172/195/172 164/186/164 -f 166/188/166 174/197/174 173/196/173 165/187/165 -f 167/189/167 175/198/175 174/197/174 166/188/166 -f 168/182/161 176/191/169 175/198/175 167/189/167 -f 169/190/168 177/199/176 184/200/177 176/191/169 -f 170/192/170 178/201/178 177/202/176 169/193/168 -f 171/194/171 179/203/179 178/201/178 170/192/170 -f 172/195/172 180/204/180 179/203/179 171/194/171 -f 173/196/173 181/205/181 180/204/180 172/195/172 -f 174/197/174 182/206/182 181/205/181 173/196/173 -f 175/198/175 183/207/183 182/206/182 174/197/174 -f 176/191/169 184/200/177 183/207/183 175/198/175 -f 177/199/176 185/208/184 192/209/185 184/200/177 -f 178/201/178 186/210/186 185/211/184 177/202/176 -f 179/203/179 187/212/187 186/210/186 178/201/178 -f 180/204/180 188/213/188 187/212/187 179/203/179 -f 181/205/181 189/214/189 188/213/188 180/204/180 -f 182/206/182 190/215/190 189/214/189 181/205/181 -f 183/207/183 191/216/191 190/215/190 182/206/182 -f 184/200/177 192/209/185 191/216/191 183/207/183 -f 185/208/184 193/217/192 200/218/193 192/209/185 -f 186/210/186 194/219/194 193/220/192 185/211/184 -f 187/212/187 195/221/195 194/219/194 186/210/186 -f 188/213/188 196/222/196 195/221/195 187/212/187 -f 189/214/189 197/223/197 196/222/196 188/213/188 -f 190/215/190 198/224/198 197/223/197 189/214/189 -f 191/216/191 199/225/199 198/224/198 190/215/190 -f 192/209/185 200/218/193 199/225/199 191/216/191 -f 201/226/200 209/227/201 216/228/202 208/229/203 -f 202/230/204 210/231/205 209/232/201 201/233/200 -f 203/234/206 211/235/207 210/231/205 202/230/204 -f 204/236/208 212/237/209 211/235/207 203/234/206 -f 205/238/210 213/239/211 212/237/209 204/236/208 -f 206/240/212 214/241/213 213/239/211 205/238/210 -f 207/242/214 215/243/215 214/241/213 206/240/212 -f 208/229/203 216/228/202 215/243/215 207/242/214 -f 209/227/201 217/244/216 224/245/217 216/228/202 -f 210/231/205 218/246/218 217/247/216 209/232/201 -f 211/235/207 219/248/219 218/246/218 210/231/205 -f 212/237/209 220/249/220 219/248/219 211/235/207 -f 213/239/211 221/250/221 220/249/220 212/237/209 -f 214/241/213 222/251/222 221/250/221 213/239/211 -f 215/243/215 223/252/223 222/251/222 214/241/213 -f 216/228/202 224/245/217 223/252/223 215/243/215 -f 217/244/216 225/253/224 232/254/225 224/245/217 -f 218/246/218 226/255/226 225/256/224 217/247/216 -f 219/248/219 227/257/227 226/255/226 218/246/218 -f 220/249/220 228/258/228 227/257/227 219/248/219 -f 221/250/221 229/259/229 228/258/228 220/249/220 -f 222/251/222 230/260/230 229/259/229 221/250/221 -f 223/252/223 231/261/231 230/260/230 222/251/222 -f 224/245/217 232/254/225 231/261/231 223/252/223 -f 225/253/224 233/262/232 240/263/233 232/254/225 -f 226/255/226 234/264/234 233/265/232 225/256/224 -f 227/257/227 235/266/235 234/264/234 226/255/226 -f 228/258/228 236/267/236 235/266/235 227/257/227 -f 229/259/229 237/268/237 236/267/236 228/258/228 -f 230/260/230 238/269/238 237/268/237 229/259/229 -f 231/261/231 239/270/239 238/269/238 230/260/230 -f 232/254/225 240/263/233 239/270/239 231/261/231 -f 233/262/232 241/271/240 248/272/241 240/263/233 -f 234/264/234 242/273/242 241/274/240 233/265/232 -f 235/266/235 243/275/243 242/273/242 234/264/234 -f 236/267/236 244/276/244 243/275/243 235/266/235 -f 237/268/237 245/277/245 244/276/244 236/267/236 -f 238/269/238 246/278/246 245/277/245 237/268/237 -f 239/270/239 247/279/247 246/278/246 238/269/238 -f 240/263/233 248/272/241 247/279/247 239/270/239 -f 241/271/240 249/280/248 256/281/249 248/272/241 -f 242/273/242 250/282/250 249/283/248 241/274/240 -f 243/275/243 251/284/251 250/282/250 242/273/242 -f 244/276/244 252/285/252 251/284/251 243/275/243 -f 245/277/245 253/286/253 252/285/252 244/276/244 -f 246/278/246 254/287/254 253/286/253 245/277/245 -f 247/279/247 255/288/255 254/287/254 246/278/246 -f 248/272/241 256/281/249 255/288/255 247/279/247 -f 249/280/248 257/289/256 264/290/257 256/281/249 -f 250/282/250 258/291/258 257/292/256 249/283/248 -f 251/284/251 259/293/259 258/291/258 250/282/250 -f 252/285/252 260/294/260 259/293/259 251/284/251 -f 253/286/253 261/295/261 260/294/260 252/285/252 -f 254/287/254 262/296/262 261/295/261 253/286/253 -f 255/288/255 263/297/263 262/296/262 254/287/254 -f 256/281/249 264/290/257 263/297/263 255/288/255 -f 257/289/256 265/298/264 272/299/265 264/290/257 -f 258/291/258 266/300/266 265/301/264 257/292/256 -f 259/293/259 267/302/267 266/300/266 258/291/258 -f 260/294/260 268/303/268 267/302/267 259/293/259 -f 261/295/261 269/304/269 268/303/268 260/294/260 -f 262/296/262 270/305/270 269/304/269 261/295/261 -f 263/297/263 271/306/271 270/305/270 262/296/262 -f 264/290/257 272/299/265 271/306/271 263/297/263 -f 265/298/264 273/307/272 280/308/273 272/299/265 -f 266/300/266 274/309/274 273/310/272 265/301/264 -f 267/302/267 275/311/275 274/309/274 266/300/266 -f 268/303/268 276/312/276 275/311/275 267/302/267 -f 269/304/269 277/313/277 276/312/276 268/303/268 -f 270/305/270 278/314/278 277/313/277 269/304/269 -f 271/306/271 279/315/279 278/314/278 270/305/270 -f 272/299/265 280/308/273 279/315/279 271/306/271 -f 273/307/272 281/316/280 288/317/281 280/308/273 -f 274/309/274 282/318/282 281/319/280 273/310/272 -f 275/311/275 283/320/283 282/318/282 274/309/274 -f 276/312/276 284/321/284 283/320/283 275/311/275 -f 277/313/277 285/322/285 284/321/284 276/312/276 -f 278/314/278 286/323/286 285/322/285 277/313/277 -f 279/315/279 287/324/287 286/323/286 278/314/278 -f 280/308/273 288/317/281 287/324/287 279/315/279 -f 281/316/280 289/325/288 296/326/289 288/317/281 -f 282/318/282 290/327/290 289/328/288 281/319/280 -f 283/320/283 291/329/291 290/327/290 282/318/282 -f 284/321/284 292/330/292 291/329/291 283/320/283 -f 285/322/285 293/331/293 292/330/292 284/321/284 -f 286/323/286 294/332/294 293/331/293 285/322/285 -f 287/324/287 295/333/295 294/332/294 286/323/286 -f 288/317/281 296/326/289 295/333/295 287/324/287 -f 289/325/288 297/334/296 304/335/297 296/326/289 -f 290/327/290 298/336/298 297/337/296 289/328/288 -f 291/329/291 299/338/299 298/336/298 290/327/290 -f 292/330/292 300/339/300 299/338/299 291/329/291 -f 293/331/293 301/340/301 300/339/300 292/330/292 -f 294/332/294 302/341/302 301/340/301 293/331/293 -f 295/333/295 303/342/303 302/341/302 294/332/294 -f 296/326/289 304/335/297 303/342/303 295/333/295 -f 297/334/296 305/343/304 312/344/305 304/335/297 -f 298/336/298 306/345/306 305/346/304 297/337/296 -f 299/338/299 307/347/307 306/345/306 298/336/298 -f 300/339/300 308/348/308 307/347/307 299/338/299 -f 301/340/301 309/349/309 308/348/308 300/339/300 -f 302/341/302 310/350/310 309/349/309 301/340/301 -f 303/342/303 311/351/311 310/350/310 302/341/302 -f 304/335/297 312/344/305 311/351/311 303/342/303 -f 305/343/304 313/352/312 320/353/313 312/344/305 -f 306/345/306 314/354/314 313/355/312 305/346/304 -f 307/347/307 315/356/315 314/354/314 306/345/306 -f 308/348/308 316/357/316 315/356/315 307/347/307 -f 309/349/309 317/358/317 316/357/316 308/348/308 -f 310/350/310 318/359/318 317/358/317 309/349/309 -f 311/351/311 319/360/319 318/359/318 310/350/310 -f 312/344/305 320/353/313 319/360/319 311/351/311 -f 313/352/312 321/361/320 328/362/321 320/353/313 -f 314/354/314 322/363/322 321/364/320 313/355/312 -f 315/356/315 323/365/323 322/363/322 314/354/314 -f 316/357/316 324/366/324 323/365/323 315/356/315 -f 317/358/317 325/367/325 324/366/324 316/357/316 -f 318/359/318 326/368/326 325/367/325 317/358/317 -f 319/360/319 327/369/327 326/368/326 318/359/318 -f 320/353/313 328/362/321 327/369/327 319/360/319 -f 329/370/328 337/371/329 344/372/330 336/373/331 -f 330/374/332 338/375/333 337/376/329 329/377/328 -f 331/378/334 339/379/335 338/375/333 330/374/332 -f 332/380/336 340/381/337 339/379/335 331/378/334 -f 333/382/338 341/383/339 340/381/337 332/380/336 -f 334/384/340 342/385/341 341/383/339 333/382/338 -f 335/386/342 343/387/343 342/385/341 334/384/340 -f 336/373/331 344/372/330 343/387/343 335/386/342 -f 337/371/329 345/388/344 352/389/345 344/372/330 -f 338/375/333 346/390/346 345/391/344 337/376/329 -f 339/379/335 347/392/347 346/390/346 338/375/333 -f 340/381/337 348/393/348 347/392/347 339/379/335 -f 341/383/339 349/394/349 348/393/348 340/381/337 -f 342/385/341 350/395/350 349/394/349 341/383/339 -f 343/387/343 351/396/351 350/395/350 342/385/341 -f 344/372/330 352/389/345 351/396/351 343/387/343 -f 345/388/344 353/397/352 360/398/353 352/389/345 -f 346/390/346 354/399/354 353/400/352 345/391/344 -f 347/392/347 355/401/355 354/399/354 346/390/346 -f 348/393/348 356/402/356 355/401/355 347/392/347 -f 349/394/349 357/403/357 356/402/356 348/393/348 -f 350/395/350 358/404/358 357/403/357 349/394/349 -f 351/396/351 359/405/359 358/404/358 350/395/350 -f 352/389/345 360/398/353 359/405/359 351/396/351 -f 353/397/352 361/406/360 368/407/361 360/398/353 -f 354/399/354 362/408/362 361/409/360 353/400/352 -f 355/401/355 363/410/363 362/408/362 354/399/354 -f 356/402/356 364/411/364 363/410/363 355/401/355 -f 357/403/357 365/412/365 364/411/364 356/402/356 -f 358/404/358 366/413/366 365/412/365 357/403/357 -f 359/405/359 367/414/367 366/413/366 358/404/358 -f 360/398/353 368/407/361 367/414/367 359/405/359 -f 361/406/360 369/415/368 376/416/369 368/407/361 -f 362/408/362 370/417/370 369/418/368 361/409/360 -f 363/410/363 371/419/371 370/417/370 362/408/362 -f 364/411/364 372/420/372 371/419/371 363/410/363 -f 365/412/365 373/421/373 372/420/372 364/411/364 -f 366/413/366 374/422/374 373/421/373 365/412/365 -f 367/414/367 375/423/375 374/422/374 366/413/366 -f 368/407/361 376/416/369 375/423/375 367/414/367 -f 369/415/368 377/424/376 384/425/377 376/416/369 -f 370/417/370 378/426/378 377/427/376 369/418/368 -f 371/419/371 379/428/379 378/426/378 370/417/370 -f 372/420/372 380/429/380 379/428/379 371/419/371 -f 373/421/373 381/430/381 380/429/380 372/420/372 -f 374/422/374 382/431/382 381/430/381 373/421/373 -f 375/423/375 383/432/383 382/431/382 374/422/374 -f 376/416/369 384/425/377 383/432/383 375/423/375 -f 377/424/376 385/433/384 392/434/385 384/425/377 -f 378/426/378 386/435/386 385/436/384 377/427/376 -f 379/428/379 387/437/387 386/435/386 378/426/378 -f 380/429/380 388/438/388 387/437/387 379/428/379 -f 381/430/381 389/439/389 388/438/388 380/429/380 -f 382/431/382 390/440/390 389/439/389 381/430/381 -f 383/432/383 391/441/391 390/440/390 382/431/382 -f 384/425/377 392/434/385 391/441/391 383/432/383 -f 385/433/384 393/442/392 400/443/393 392/434/385 -f 386/435/386 394/444/394 393/445/392 385/436/384 -f 387/437/387 395/446/395 394/444/394 386/435/386 -f 388/438/388 396/447/396 395/446/395 387/437/387 -f 389/439/389 397/448/397 396/447/396 388/438/388 -f 390/440/390 398/449/398 397/448/397 389/439/389 -f 391/441/391 399/450/399 398/449/398 390/440/390 -f 392/434/385 400/443/393 399/450/399 391/441/391 -f 393/442/392 401/451/400 408/452/401 400/443/393 -f 394/444/394 402/453/402 401/454/400 393/445/392 -f 395/446/395 403/455/403 402/453/402 394/444/394 -f 396/447/396 404/456/404 403/455/403 395/446/395 -f 397/448/397 405/457/405 404/456/404 396/447/396 -f 398/449/398 406/458/406 405/457/405 397/448/397 -f 399/450/399 407/459/407 406/458/406 398/449/398 -f 400/443/393 408/452/401 407/459/407 399/450/399 -f 401/451/400 409/460/408 416/461/409 408/452/401 -f 402/453/402 410/462/410 409/463/408 401/454/400 -f 403/455/403 411/464/411 410/462/410 402/453/402 -f 404/456/404 412/465/412 411/464/411 403/455/403 -f 405/457/405 413/466/413 412/465/412 404/456/404 -f 406/458/406 414/467/414 413/466/413 405/457/405 -f 407/459/407 415/468/415 414/467/414 406/458/406 -f 408/452/401 416/461/409 415/468/415 407/459/407 -f 409/460/408 417/469/416 424/470/417 416/461/409 -f 410/462/410 418/471/418 417/472/416 409/463/408 -f 411/464/411 419/473/419 418/471/418 410/462/410 -f 412/465/412 420/474/420 419/473/419 411/464/411 -f 413/466/413 421/475/421 420/474/420 412/465/412 -f 414/467/414 422/476/422 421/475/421 413/466/413 -f 415/468/415 423/477/423 422/476/422 414/467/414 -f 416/461/409 424/470/417 423/477/423 415/468/415 -f 417/469/416 425/478/424 432/479/425 424/470/417 -f 418/471/418 426/480/426 425/481/424 417/472/416 -f 419/473/419 427/482/427 426/480/426 418/471/418 -f 420/474/420 428/483/428 427/482/427 419/473/419 -f 421/475/421 429/484/429 428/483/428 420/474/420 -f 422/476/422 430/485/430 429/484/429 421/475/421 -f 423/477/423 431/486/431 430/485/430 422/476/422 -f 424/470/417 432/479/425 431/486/431 423/477/423 -f 425/478/424 433/487/432 440/488/433 432/479/425 -f 426/480/426 434/489/434 433/490/432 425/481/424 -f 427/482/427 435/491/435 434/489/434 426/480/426 -f 428/483/428 436/492/436 435/491/435 427/482/427 -f 429/484/429 437/493/437 436/492/436 428/483/428 -f 430/485/430 438/494/438 437/493/437 429/484/429 -f 431/486/431 439/495/439 438/494/438 430/485/430 -f 432/479/425 440/488/433 439/495/439 431/486/431 -f 433/487/432 441/496/440 448/497/441 440/488/433 -f 434/489/434 442/498/442 441/499/440 433/490/432 -f 435/491/435 443/500/443 442/498/442 434/489/434 -f 436/492/436 444/501/444 443/500/443 435/491/435 -f 437/493/437 445/502/445 444/501/444 436/492/436 -f 438/494/438 446/503/446 445/502/445 437/493/437 -f 439/495/439 447/504/447 446/503/446 438/494/438 -f 440/488/433 448/497/441 447/504/447 439/495/439 -f 441/496/440 449/505/448 456/506/449 448/497/441 -f 442/498/442 450/507/450 449/508/448 441/499/440 -f 443/500/443 451/509/451 450/507/450 442/498/442 -f 444/501/444 452/510/452 451/509/451 443/500/443 -f 445/502/445 453/511/453 452/510/452 444/501/444 -f 446/503/446 454/512/454 453/511/453 445/502/445 -f 447/504/447 455/513/455 454/512/454 446/503/446 -f 448/497/441 456/506/449 455/513/455 447/504/447 -f 457/514/456 465/515/457 472/516/458 464/517/459 -f 458/518/460 466/519/461 465/520/457 457/521/456 -f 459/522/462 467/523/463 466/519/461 458/518/460 -f 460/524/464 468/525/465 467/523/463 459/522/462 -f 461/526/466 469/527/467 468/525/465 460/524/464 -f 462/528/468 470/529/469 469/527/467 461/526/466 -f 463/530/470 471/531/471 470/529/469 462/528/468 -f 464/517/459 472/516/458 471/531/471 463/530/470 -f 465/515/457 473/532/472 480/533/473 472/516/458 -f 466/519/461 474/534/474 473/535/472 465/520/457 -f 467/523/463 475/536/475 474/534/474 466/519/461 -f 468/525/465 476/537/476 475/536/475 467/523/463 -f 469/527/467 477/538/477 476/537/476 468/525/465 -f 470/529/469 478/539/478 477/538/477 469/527/467 -f 471/531/471 479/540/479 478/539/478 470/529/469 -f 472/516/458 480/533/473 479/540/479 471/531/471 -f 473/532/472 481/541/480 488/542/481 480/533/473 -f 474/534/474 482/543/482 481/544/480 473/535/472 -f 475/536/475 483/545/483 482/543/482 474/534/474 -f 476/537/476 484/546/484 483/545/483 475/536/475 -f 477/538/477 485/547/485 484/546/484 476/537/476 -f 478/539/478 486/548/486 485/547/485 477/538/477 -f 479/540/479 487/549/487 486/548/486 478/539/478 -f 480/533/473 488/542/481 487/549/487 479/540/479 -f 481/541/480 489/550/488 496/551/489 488/542/481 -f 482/543/482 490/552/490 489/553/488 481/544/480 -f 483/545/483 491/554/491 490/552/490 482/543/482 -f 484/546/484 492/555/492 491/554/491 483/545/483 -f 485/547/485 493/556/493 492/555/492 484/546/484 -f 486/548/486 494/557/494 493/556/493 485/547/485 -f 487/549/487 495/558/495 494/557/494 486/548/486 -f 488/542/481 496/551/489 495/558/495 487/549/487 -f 489/550/488 497/559/496 504/560/497 496/551/489 -f 490/552/490 498/561/498 497/562/496 489/553/488 -f 491/554/491 499/563/499 498/561/498 490/552/490 -f 492/555/492 500/564/500 499/563/499 491/554/491 -f 493/556/493 501/565/501 500/564/500 492/555/492 -f 494/557/494 502/566/502 501/565/501 493/556/493 -f 495/558/495 503/567/503 502/566/502 494/557/494 -f 496/551/489 504/560/497 503/567/503 495/558/495 -f 497/559/496 505/568/504 512/569/505 504/560/497 -f 498/561/498 506/570/506 505/571/504 497/562/496 -f 499/563/499 507/572/507 506/570/506 498/561/498 -f 500/564/500 508/573/508 507/572/507 499/563/499 -f 501/565/501 509/574/509 508/573/508 500/564/500 -f 502/566/502 510/575/510 509/574/509 501/565/501 -f 503/567/503 511/576/511 510/575/510 502/566/502 -f 504/560/497 512/569/505 511/576/511 503/567/503 -f 505/568/504 513/577/512 520/578/513 512/569/505 -f 506/570/506 514/579/514 513/580/512 505/571/504 -f 507/572/507 515/581/515 514/579/514 506/570/506 -f 508/573/508 516/582/516 515/581/515 507/572/507 -f 509/574/509 517/583/517 516/582/516 508/573/508 -f 510/575/510 518/584/518 517/583/517 509/574/509 -f 511/576/511 519/585/519 518/584/518 510/575/510 -f 512/569/505 520/578/513 519/585/519 511/576/511 -f 513/577/512 521/586/520 528/587/521 520/578/513 -f 514/579/514 522/588/522 521/589/520 513/580/512 -f 515/581/515 523/590/523 522/588/522 514/579/514 -f 516/582/516 524/591/524 523/590/523 515/581/515 -f 517/583/517 525/592/525 524/591/524 516/582/516 -f 518/584/518 526/593/526 525/592/525 517/583/517 -f 519/585/519 527/594/527 526/593/526 518/584/518 -f 520/578/513 528/587/521 527/594/527 519/585/519 -f 521/586/520 529/595/528 536/596/529 528/587/521 -f 522/588/522 530/597/530 529/598/528 521/589/520 -f 523/590/523 531/599/531 530/597/530 522/588/522 -f 524/591/524 532/600/532 531/599/531 523/590/523 -f 525/592/525 533/601/533 532/600/532 524/591/524 -f 526/593/526 534/602/534 533/601/533 525/592/525 -f 527/594/527 535/603/535 534/602/534 526/593/526 -f 528/587/521 536/596/529 535/603/535 527/594/527 -f 529/595/528 537/604/536 544/605/537 536/596/529 -f 530/597/530 538/606/538 537/607/536 529/598/528 -f 531/599/531 539/608/539 538/606/538 530/597/530 -f 532/600/532 540/609/540 539/608/539 531/599/531 -f 533/601/533 541/610/541 540/609/540 532/600/532 -f 534/602/534 542/611/542 541/610/541 533/601/533 -f 535/603/535 543/612/543 542/611/542 534/602/534 -f 536/596/529 544/605/537 543/612/543 535/603/535 -f 537/604/536 545/613/544 552/614/545 544/605/537 -f 538/606/538 546/615/546 545/616/544 537/607/536 -f 539/608/539 547/617/547 546/615/546 538/606/538 -f 540/609/540 548/618/548 547/617/547 539/608/539 -f 541/610/541 549/619/549 548/618/548 540/609/540 -f 542/611/542 550/620/550 549/619/549 541/610/541 -f 543/612/543 551/621/551 550/620/550 542/611/542 -f 544/605/537 552/614/545 551/621/551 543/612/543 -f 545/613/544 553/622/552 560/623/553 552/614/545 -f 546/615/546 554/624/554 553/625/552 545/616/544 -f 547/617/547 555/626/555 554/624/554 546/615/546 -f 548/618/548 556/627/556 555/626/555 547/617/547 -f 549/619/549 557/628/557 556/627/556 548/618/548 -f 550/620/550 558/629/558 557/628/557 549/619/549 -f 551/621/551 559/630/559 558/629/558 550/620/550 -f 552/614/545 560/623/553 559/630/559 551/621/551 -f 553/622/552 561/631/560 568/632/561 560/623/553 -f 554/624/554 562/633/562 561/634/560 553/625/552 -f 555/626/555 563/635/563 562/633/562 554/624/554 -f 556/627/556 564/636/564 563/635/563 555/626/555 -f 557/628/557 565/637/565 564/636/564 556/627/556 -f 558/629/558 566/638/566 565/637/565 557/628/557 -f 559/630/559 567/639/567 566/638/566 558/629/558 -f 560/623/553 568/632/561 567/639/567 559/630/559 -f 561/631/560 569/640/568 576/641/569 568/632/561 -f 562/633/562 570/642/570 569/643/568 561/634/560 -f 563/635/563 571/644/571 570/642/570 562/633/562 -f 564/636/564 572/645/572 571/644/571 563/635/563 -f 565/637/565 573/646/573 572/645/572 564/636/564 -f 566/638/566 574/647/574 573/646/573 565/637/565 -f 567/639/567 575/648/575 574/647/574 566/638/566 -f 568/632/561 576/641/569 575/648/575 567/639/567 -f 569/640/568 577/649/576 584/650/577 576/641/569 -f 570/642/570 578/651/578 577/652/576 569/643/568 -f 571/644/571 579/653/579 578/651/578 570/642/570 -f 572/645/572 580/654/580 579/653/579 571/644/571 -f 573/646/573 581/655/581 580/654/580 572/645/572 -f 574/647/574 582/656/582 581/655/581 573/646/573 -f 575/648/575 583/657/583 582/656/582 574/647/574 -f 576/641/569 584/650/577 583/657/583 575/648/575 -f 585/658/584 593/659/585 600/660/586 592/661/587 -f 586/662/588 594/663/589 593/664/585 585/665/584 -f 587/666/590 595/667/591 594/663/589 586/662/588 -f 588/668/592 596/669/593 595/667/591 587/666/590 -f 589/670/594 597/671/595 596/669/593 588/668/592 -f 590/672/596 598/673/597 597/671/595 589/670/594 -f 591/674/598 599/675/599 598/673/597 590/672/596 -f 592/661/587 600/660/586 599/675/599 591/674/598 -f 593/659/585 601/676/600 608/677/601 600/660/586 -f 594/663/589 602/678/602 601/679/600 593/664/585 -f 595/667/591 603/680/603 602/678/602 594/663/589 -f 596/669/593 604/681/604 603/680/603 595/667/591 -f 597/671/595 605/682/605 604/681/604 596/669/593 -f 598/673/597 606/683/606 605/682/605 597/671/595 -f 599/675/599 607/684/607 606/683/606 598/673/597 -f 600/660/586 608/677/601 607/684/607 599/675/599 -f 601/676/600 609/685/608 616/686/609 608/677/601 -f 602/678/602 610/687/610 609/688/608 601/679/600 -f 603/680/603 611/689/611 610/687/610 602/678/602 -f 604/681/604 612/690/612 611/689/611 603/680/603 -f 605/682/605 613/691/613 612/690/612 604/681/604 -f 606/683/606 614/692/614 613/691/613 605/682/605 -f 607/684/607 615/693/615 614/692/614 606/683/606 -f 608/677/601 616/686/609 615/693/615 607/684/607 -f 609/685/608 617/694/616 624/695/617 616/686/609 -f 610/687/610 618/696/618 617/697/616 609/688/608 -f 611/689/611 619/698/619 618/696/618 610/687/610 -f 612/690/612 620/699/620 619/698/619 611/689/611 -f 613/691/613 621/700/621 620/699/620 612/690/612 -f 614/692/614 622/701/622 621/700/621 613/691/613 -f 615/693/615 623/702/623 622/701/622 614/692/614 -f 616/686/609 624/695/617 623/702/623 615/693/615 -f 617/694/616 625/703/624 632/704/625 624/695/617 -f 618/696/618 626/705/626 625/706/624 617/697/616 -f 619/698/619 627/707/627 626/705/626 618/696/618 -f 620/699/620 628/708/628 627/707/627 619/698/619 -f 621/700/621 629/709/629 628/708/628 620/699/620 -f 622/701/622 630/710/630 629/709/629 621/700/621 -f 623/702/623 631/711/631 630/710/630 622/701/622 -f 624/695/617 632/704/625 631/711/631 623/702/623 -f 625/703/624 633/712/632 640/713/633 632/704/625 -f 626/705/626 634/714/634 633/715/632 625/706/624 -f 627/707/627 635/716/635 634/714/634 626/705/626 -f 628/708/628 636/717/636 635/716/635 627/707/627 -f 629/709/629 637/718/637 636/717/636 628/708/628 -f 630/710/630 638/719/638 637/718/637 629/709/629 -f 631/711/631 639/720/639 638/719/638 630/710/630 -f 632/704/625 640/713/633 639/720/639 631/711/631 -f 633/712/632 641/721/640 648/722/641 640/713/633 -f 634/714/634 642/723/642 641/724/640 633/715/632 -f 635/716/635 643/725/643 642/723/642 634/714/634 -f 636/717/636 644/726/644 643/725/643 635/716/635 -f 637/718/637 645/727/645 644/726/644 636/717/636 -f 638/719/638 646/728/646 645/727/645 637/718/637 -f 639/720/639 647/729/647 646/728/646 638/719/638 -f 640/713/633 648/722/641 647/729/647 639/720/639 -f 641/721/640 649/730/648 656/731/649 648/722/641 -f 642/723/642 650/732/650 649/733/648 641/724/640 -f 643/725/643 651/734/651 650/732/650 642/723/642 -f 644/726/644 652/735/652 651/734/651 643/725/643 -f 645/727/645 653/736/653 652/735/652 644/726/644 -f 646/728/646 654/737/654 653/736/653 645/727/645 -f 647/729/647 655/738/655 654/737/654 646/728/646 -f 648/722/641 656/731/649 655/738/655 647/729/647 -f 649/730/648 657/739/656 664/740/657 656/731/649 -f 650/732/650 658/741/658 657/742/656 649/733/648 -f 651/734/651 659/743/659 658/741/658 650/732/650 -f 652/735/652 660/744/660 659/743/659 651/734/651 -f 653/736/653 661/745/661 660/744/660 652/735/652 -f 654/737/654 662/746/662 661/745/661 653/736/653 -f 655/738/655 663/747/663 662/746/662 654/737/654 -f 656/731/649 664/740/657 663/747/663 655/738/655 -f 657/739/656 665/748/664 672/749/665 664/740/657 -f 658/741/658 666/750/666 665/751/664 657/742/656 -f 659/743/659 667/752/667 666/750/666 658/741/658 -f 660/744/660 668/753/668 667/752/667 659/743/659 -f 661/745/661 669/754/669 668/753/668 660/744/660 -f 662/746/662 670/755/670 669/754/669 661/745/661 -f 663/747/663 671/756/671 670/755/670 662/746/662 -f 664/740/657 672/749/665 671/756/671 663/747/663 -f 665/748/664 673/757/672 680/758/673 672/749/665 -f 666/750/666 674/759/674 673/760/672 665/751/664 -f 667/752/667 675/761/675 674/759/674 666/750/666 -f 668/753/668 676/762/676 675/761/675 667/752/667 -f 669/754/669 677/763/677 676/762/676 668/753/668 -f 670/755/670 678/764/678 677/763/677 669/754/669 -f 671/756/671 679/765/679 678/764/678 670/755/670 -f 672/749/665 680/758/673 679/765/679 671/756/671 -f 673/757/672 681/766/680 688/767/681 680/758/673 -f 674/759/674 682/768/682 681/769/680 673/760/672 -f 675/761/675 683/770/683 682/768/682 674/759/674 -f 676/762/676 684/771/684 683/770/683 675/761/675 -f 677/763/677 685/772/685 684/771/684 676/762/676 -f 678/764/678 686/773/686 685/772/685 677/763/677 -f 679/765/679 687/774/687 686/773/686 678/764/678 -f 680/758/673 688/767/681 687/774/687 679/765/679 -f 681/766/680 689/775/688 696/776/689 688/767/681 -f 682/768/682 690/777/690 689/778/688 681/769/680 -f 683/770/683 691/779/691 690/777/690 682/768/682 -f 684/771/684 692/780/692 691/779/691 683/770/683 -f 685/772/685 693/781/693 692/780/692 684/771/684 -f 686/773/686 694/782/694 693/781/693 685/772/685 -f 687/774/687 695/783/695 694/782/694 686/773/686 -f 688/767/681 696/776/689 695/783/695 687/774/687 -f 689/775/688 697/784/696 704/785/697 696/776/689 -f 690/777/690 698/786/698 697/787/696 689/778/688 -f 691/779/691 699/788/699 698/786/698 690/777/690 -f 692/780/692 700/789/700 699/788/699 691/779/691 -f 693/781/693 701/790/701 700/789/700 692/780/692 -f 694/782/694 702/791/702 701/790/701 693/781/693 -f 695/783/695 703/792/703 702/791/702 694/782/694 -f 696/776/689 704/785/697 703/792/703 695/783/695 -f 697/784/696 705/793/704 712/794/705 704/785/697 -f 698/786/698 706/795/706 705/796/704 697/787/696 -f 699/788/699 707/797/707 706/795/706 698/786/698 -f 700/789/700 708/798/708 707/797/707 699/788/699 -f 701/790/701 709/799/709 708/798/708 700/789/700 -f 702/791/702 710/800/710 709/799/709 701/790/701 -f 703/792/703 711/801/711 710/800/710 702/791/702 -f 704/785/697 712/794/705 711/801/711 703/792/703 -f 713/802/712 721/803/713 728/804/714 720/805/715 -f 714/806/716 722/807/717 721/808/713 713/809/712 -f 715/810/718 723/811/719 722/807/717 714/806/716 -f 716/812/720 724/813/721 723/811/719 715/810/718 -f 717/814/722 725/815/723 724/813/721 716/812/720 -f 718/816/724 726/817/725 725/815/723 717/814/722 -f 719/818/726 727/819/727 726/817/725 718/816/724 -f 720/805/715 728/804/714 727/819/727 719/818/726 -f 721/803/713 729/820/728 736/821/729 728/804/714 -f 722/807/717 730/822/730 729/823/728 721/808/713 -f 723/811/719 731/824/731 730/822/730 722/807/717 -f 724/813/721 732/825/732 731/824/731 723/811/719 -f 725/815/723 733/826/733 732/825/732 724/813/721 -f 726/817/725 734/827/734 733/826/733 725/815/723 -f 727/819/727 735/828/735 734/827/734 726/817/725 -f 728/804/714 736/821/729 735/828/735 727/819/727 -f 729/820/728 737/829/736 744/830/737 736/821/729 -f 730/822/730 738/831/738 737/832/736 729/823/728 -f 731/824/731 739/833/739 738/831/738 730/822/730 -f 732/825/732 740/834/740 739/833/739 731/824/731 -f 733/826/733 741/835/741 740/834/740 732/825/732 -f 734/827/734 742/836/742 741/835/741 733/826/733 -f 735/828/735 743/837/743 742/836/742 734/827/734 -f 736/821/729 744/830/737 743/837/743 735/828/735 -f 737/829/736 745/838/744 752/839/745 744/830/737 -f 738/831/738 746/840/746 745/841/744 737/832/736 -f 739/833/739 747/842/747 746/840/746 738/831/738 -f 740/834/740 748/843/748 747/842/747 739/833/739 -f 741/835/741 749/844/749 748/843/748 740/834/740 -f 742/836/742 750/845/750 749/844/749 741/835/741 -f 743/837/743 751/846/751 750/845/750 742/836/742 -f 744/830/737 752/839/745 751/846/751 743/837/743 -f 745/838/744 753/847/752 760/848/753 752/839/745 -f 746/840/746 754/849/754 753/850/752 745/841/744 -f 747/842/747 755/851/755 754/849/754 746/840/746 -f 748/843/748 756/852/756 755/851/755 747/842/747 -f 749/844/749 757/853/757 756/852/756 748/843/748 -f 750/845/750 758/854/758 757/853/757 749/844/749 -f 751/846/751 759/855/759 758/854/758 750/845/750 -f 752/839/745 760/848/753 759/855/759 751/846/751 -f 753/847/752 761/856/760 768/857/761 760/848/753 -f 754/849/754 762/858/762 761/859/760 753/850/752 -f 755/851/755 763/860/763 762/858/762 754/849/754 -f 756/852/756 764/861/764 763/860/763 755/851/755 -f 757/853/757 765/862/765 764/861/764 756/852/756 -f 758/854/758 766/863/766 765/862/765 757/853/757 -f 759/855/759 767/864/767 766/863/766 758/854/758 -f 760/848/753 768/857/761 767/864/767 759/855/759 -f 761/856/760 769/865/768 776/866/769 768/857/761 -f 762/858/762 770/867/770 769/868/768 761/859/760 -f 763/860/763 771/869/771 770/867/770 762/858/762 -f 764/861/764 772/870/772 771/869/771 763/860/763 -f 765/862/765 773/871/773 772/870/772 764/861/764 -f 766/863/766 774/872/774 773/871/773 765/862/765 -f 767/864/767 775/873/775 774/872/774 766/863/766 -f 768/857/761 776/866/769 775/873/775 767/864/767 -f 769/865/768 777/874/776 784/875/777 776/866/769 -f 770/867/770 778/876/778 777/877/776 769/868/768 -f 771/869/771 779/878/779 778/876/778 770/867/770 -f 772/870/772 780/879/780 779/878/779 771/869/771 -f 773/871/773 781/880/781 780/879/780 772/870/772 -f 774/872/774 782/881/782 781/880/781 773/871/773 -f 775/873/775 783/882/783 782/881/782 774/872/774 -f 776/866/769 784/875/777 783/882/783 775/873/775 -f 777/874/776 785/883/784 792/884/785 784/875/777 -f 778/876/778 786/885/786 785/886/784 777/877/776 -f 779/878/779 787/887/787 786/885/786 778/876/778 -f 780/879/780 788/888/788 787/887/787 779/878/779 -f 781/880/781 789/889/789 788/888/788 780/879/780 -f 782/881/782 790/890/790 789/889/789 781/880/781 -f 783/882/783 791/891/791 790/890/790 782/881/782 -f 784/875/777 792/884/785 791/891/791 783/882/783 -f 785/883/784 793/892/792 800/893/793 792/884/785 -f 786/885/786 794/894/794 793/895/792 785/886/784 -f 787/887/787 795/896/795 794/894/794 786/885/786 -f 788/888/788 796/897/796 795/896/795 787/887/787 -f 789/889/789 797/898/797 796/897/796 788/888/788 -f 790/890/790 798/899/798 797/898/797 789/889/789 -f 791/891/791 799/900/799 798/899/798 790/890/790 -f 792/884/785 800/893/793 799/900/799 791/891/791 -f 793/892/792 801/901/800 808/902/801 800/893/793 -f 794/894/794 802/903/802 801/904/800 793/895/792 -f 795/896/795 803/905/803 802/903/802 794/894/794 -f 796/897/796 804/906/804 803/905/803 795/896/795 -f 797/898/797 805/907/805 804/906/804 796/897/796 -f 798/899/798 806/908/806 805/907/805 797/898/797 -f 799/900/799 807/909/807 806/908/806 798/899/798 -f 800/893/793 808/902/801 807/909/807 799/900/799 -f 801/901/800 809/910/808 816/911/809 808/902/801 -f 802/903/802 810/912/810 809/913/808 801/904/800 -f 803/905/803 811/914/811 810/912/810 802/903/802 -f 804/906/804 812/915/812 811/914/811 803/905/803 -f 805/907/805 813/916/813 812/915/812 804/906/804 -f 806/908/806 814/917/814 813/916/813 805/907/805 -f 807/909/807 815/918/815 814/917/814 806/908/806 -f 808/902/801 816/911/809 815/918/815 807/909/807 -f 809/910/808 817/919/816 824/920/817 816/911/809 -f 810/912/810 818/921/818 817/922/816 809/913/808 -f 811/914/811 819/923/819 818/921/818 810/912/810 -f 812/915/812 820/924/820 819/923/819 811/914/811 -f 813/916/813 821/925/821 820/924/820 812/915/812 -f 814/917/814 822/926/822 821/925/821 813/916/813 -f 815/918/815 823/927/823 822/926/822 814/917/814 -f 816/911/809 824/920/817 823/927/823 815/918/815 -f 817/919/816 825/928/824 832/929/825 824/920/817 -f 818/921/818 826/930/826 825/931/824 817/922/816 -f 819/923/819 827/932/827 826/930/826 818/921/818 -f 820/924/820 828/933/828 827/932/827 819/923/819 -f 821/925/821 829/934/829 828/933/828 820/924/820 -f 822/926/822 830/935/830 829/934/829 821/925/821 -f 823/927/823 831/936/831 830/935/830 822/926/822 -f 824/920/817 832/929/825 831/936/831 823/927/823 -f 825/928/824 833/937/832 840/938/833 832/929/825 -f 826/930/826 834/939/834 833/940/832 825/931/824 -f 827/932/827 835/941/835 834/939/834 826/930/826 -f 828/933/828 836/942/836 835/941/835 827/932/827 -f 829/934/829 837/943/837 836/942/836 828/933/828 -f 830/935/830 838/944/838 837/943/837 829/934/829 -f 831/936/831 839/945/839 838/944/838 830/935/830 -f 832/929/825 840/938/833 839/945/839 831/936/831 -f 841/946/840 849/947/841 856/948/842 848/949/843 -f 842/950/844 850/951/845 849/952/841 841/953/840 -f 843/954/846 851/955/847 850/951/845 842/950/844 -f 844/956/848 852/957/849 851/955/847 843/954/846 -f 845/958/850 853/959/851 852/957/849 844/956/848 -f 846/960/852 854/961/853 853/959/851 845/958/850 -f 847/962/854 855/963/855 854/961/853 846/960/852 -f 848/949/843 856/948/842 855/963/855 847/962/854 -f 849/947/841 857/964/856 864/965/857 856/948/842 -f 850/951/845 858/966/858 857/967/856 849/952/841 -f 851/955/847 859/968/859 858/966/858 850/951/845 -f 852/957/849 860/969/860 859/968/859 851/955/847 -f 853/959/851 861/970/861 860/969/860 852/957/849 -f 854/961/853 862/971/862 861/970/861 853/959/851 -f 855/963/855 863/972/863 862/971/862 854/961/853 -f 856/948/842 864/965/857 863/972/863 855/963/855 -f 857/964/856 865/973/864 872/974/865 864/965/857 -f 858/966/858 866/975/866 865/976/864 857/967/856 -f 859/968/859 867/977/867 866/975/866 858/966/858 -f 860/969/860 868/978/868 867/977/867 859/968/859 -f 861/970/861 869/979/869 868/978/868 860/969/860 -f 862/971/862 870/980/870 869/979/869 861/970/861 -f 863/972/863 871/981/871 870/980/870 862/971/862 -f 864/965/857 872/974/865 871/981/871 863/972/863 -f 865/973/864 873/982/872 880/983/873 872/974/865 -f 866/975/866 874/984/874 873/985/872 865/976/864 -f 867/977/867 875/986/875 874/984/874 866/975/866 -f 868/978/868 876/987/876 875/986/875 867/977/867 -f 869/979/869 877/988/877 876/987/876 868/978/868 -f 870/980/870 878/989/878 877/988/877 869/979/869 -f 871/981/871 879/990/879 878/989/878 870/980/870 -f 872/974/865 880/983/873 879/990/879 871/981/871 -f 873/982/872 881/991/880 888/992/881 880/983/873 -f 874/984/874 882/993/882 881/994/880 873/985/872 -f 875/986/875 883/995/883 882/993/882 874/984/874 -f 876/987/876 884/996/884 883/995/883 875/986/875 -f 877/988/877 885/997/885 884/996/884 876/987/876 -f 878/989/878 886/998/886 885/997/885 877/988/877 -f 879/990/879 887/999/887 886/998/886 878/989/878 -f 880/983/873 888/992/881 887/999/887 879/990/879 -f 881/991/880 889/1000/888 896/1001/889 888/992/881 -f 882/993/882 890/1002/890 889/1003/888 881/994/880 -f 883/995/883 891/1004/891 890/1002/890 882/993/882 -f 884/996/884 892/1005/892 891/1004/891 883/995/883 -f 885/997/885 893/1006/893 892/1005/892 884/996/884 -f 886/998/886 894/1007/894 893/1006/893 885/997/885 -f 887/999/887 895/1008/895 894/1007/894 886/998/886 -f 888/992/881 896/1001/889 895/1008/895 887/999/887 -f 889/1000/888 897/1009/896 904/1010/897 896/1001/889 -f 890/1002/890 898/1011/898 897/1012/896 889/1003/888 -f 891/1004/891 899/1013/899 898/1011/898 890/1002/890 -f 892/1005/892 900/1014/900 899/1013/899 891/1004/891 -f 893/1006/893 901/1015/901 900/1014/900 892/1005/892 -f 894/1007/894 902/1016/902 901/1015/901 893/1006/893 -f 895/1008/895 903/1017/903 902/1016/902 894/1007/894 -f 896/1001/889 904/1010/897 903/1017/903 895/1008/895 -f 897/1009/896 905/1018/904 912/1019/905 904/1010/897 -f 898/1011/898 906/1020/906 905/1021/904 897/1012/896 -f 899/1013/899 907/1022/907 906/1020/906 898/1011/898 -f 900/1014/900 908/1023/908 907/1022/907 899/1013/899 -f 901/1015/901 909/1024/909 908/1023/908 900/1014/900 -f 902/1016/902 910/1025/910 909/1024/909 901/1015/901 -f 903/1017/903 911/1026/911 910/1025/910 902/1016/902 -f 904/1010/897 912/1019/905 911/1026/911 903/1017/903 -f 905/1018/904 913/1027/912 920/1028/913 912/1019/905 -f 906/1020/906 914/1029/914 913/1030/912 905/1021/904 -f 907/1022/907 915/1031/915 914/1029/914 906/1020/906 -f 908/1023/908 916/1032/916 915/1031/915 907/1022/907 -f 909/1024/909 917/1033/917 916/1032/916 908/1023/908 -f 910/1025/910 918/1034/918 917/1033/917 909/1024/909 -f 911/1026/911 919/1035/919 918/1034/918 910/1025/910 -f 912/1019/905 920/1028/913 919/1035/919 911/1026/911 -f 913/1027/912 921/1036/920 928/1037/921 920/1028/913 -f 914/1029/914 922/1038/922 921/1039/920 913/1030/912 -f 915/1031/915 923/1040/923 922/1038/922 914/1029/914 -f 916/1032/916 924/1041/924 923/1040/923 915/1031/915 -f 917/1033/917 925/1042/925 924/1041/924 916/1032/916 -f 918/1034/918 926/1043/926 925/1042/925 917/1033/917 -f 919/1035/919 927/1044/927 926/1043/926 918/1034/918 -f 920/1028/913 928/1037/921 927/1044/927 919/1035/919 -f 921/1036/920 929/1045/928 936/1046/929 928/1037/921 -f 922/1038/922 930/1047/930 929/1048/928 921/1039/920 -f 923/1040/923 931/1049/931 930/1047/930 922/1038/922 -f 924/1041/924 932/1050/932 931/1049/931 923/1040/923 -f 925/1042/925 933/1051/933 932/1050/932 924/1041/924 -f 926/1043/926 934/1052/934 933/1051/933 925/1042/925 -f 927/1044/927 935/1053/935 934/1052/934 926/1043/926 -f 928/1037/921 936/1046/929 935/1053/935 927/1044/927 -f 929/1045/928 937/1054/936 944/1055/937 936/1046/929 -f 930/1047/930 938/1056/938 937/1057/936 929/1048/928 -f 931/1049/931 939/1058/939 938/1056/938 930/1047/930 -f 932/1050/932 940/1059/940 939/1058/939 931/1049/931 -f 933/1051/933 941/1060/941 940/1059/940 932/1050/932 -f 934/1052/934 942/1061/942 941/1060/941 933/1051/933 -f 935/1053/935 943/1062/943 942/1061/942 934/1052/934 -f 936/1046/929 944/1055/937 943/1062/943 935/1053/935 -f 937/1054/936 945/1063/944 952/1064/945 944/1055/937 -f 938/1056/938 946/1065/946 945/1066/944 937/1057/936 -f 939/1058/939 947/1067/947 946/1065/946 938/1056/938 -f 940/1059/940 948/1068/948 947/1067/947 939/1058/939 -f 941/1060/941 949/1069/949 948/1068/948 940/1059/940 -f 942/1061/942 950/1070/950 949/1069/949 941/1060/941 -f 943/1062/943 951/1071/951 950/1070/950 942/1061/942 -f 944/1055/937 952/1064/945 951/1071/951 943/1062/943 -f 945/1063/944 953/1072/952 960/1073/953 952/1064/945 -f 946/1065/946 954/1074/954 953/1075/952 945/1066/944 -f 947/1067/947 955/1076/955 954/1074/954 946/1065/946 -f 948/1068/948 956/1077/956 955/1076/955 947/1067/947 -f 949/1069/949 957/1078/957 956/1077/956 948/1068/948 -f 950/1070/950 958/1079/958 957/1078/957 949/1069/949 -f 951/1071/951 959/1080/959 958/1079/958 950/1070/950 -f 952/1064/945 960/1073/953 959/1080/959 951/1071/951 -f 953/1072/952 961/1081/960 968/1082/961 960/1073/953 -f 954/1074/954 962/1083/962 961/1084/960 953/1075/952 -f 955/1076/955 963/1085/963 962/1083/962 954/1074/954 -f 956/1077/956 964/1086/964 963/1085/963 955/1076/955 -f 957/1078/957 965/1087/965 964/1086/964 956/1077/956 -f 958/1079/958 966/1088/966 965/1087/965 957/1078/957 -f 959/1080/959 967/1089/967 966/1088/966 958/1079/958 -f 960/1073/953 968/1082/961 967/1089/967 959/1080/959 -f 969/1090/968 977/1091/969 984/1092/970 976/1093/971 -f 970/1094/972 978/1095/973 977/1096/969 969/1097/968 -f 971/1098/974 979/1099/975 978/1095/973 970/1094/972 -f 972/1100/976 980/1101/977 979/1099/975 971/1098/974 -f 973/1102/978 981/1103/979 980/1101/977 972/1100/976 -f 974/1104/980 982/1105/981 981/1103/979 973/1102/978 -f 975/1106/982 983/1107/983 982/1105/981 974/1104/980 -f 976/1093/971 984/1092/970 983/1107/983 975/1106/982 -f 977/1091/969 985/1108/984 992/1109/985 984/1092/970 -f 978/1095/973 986/1110/986 985/1111/984 977/1096/969 -f 979/1099/975 987/1112/987 986/1110/986 978/1095/973 -f 980/1101/977 988/1113/988 987/1112/987 979/1099/975 -f 981/1103/979 989/1114/989 988/1113/988 980/1101/977 -f 982/1105/981 990/1115/990 989/1114/989 981/1103/979 -f 983/1107/983 991/1116/991 990/1115/990 982/1105/981 -f 984/1092/970 992/1109/985 991/1116/991 983/1107/983 -f 985/1108/984 993/1117/992 1000/1118/993 992/1109/985 -f 986/1110/986 994/1119/994 993/1120/992 985/1111/984 -f 987/1112/987 995/1121/995 994/1119/994 986/1110/986 -f 988/1113/988 996/1122/996 995/1121/995 987/1112/987 -f 989/1114/989 997/1123/997 996/1122/996 988/1113/988 -f 990/1115/990 998/1124/998 997/1123/997 989/1114/989 -f 991/1116/991 999/1125/999 998/1124/998 990/1115/990 -f 992/1109/985 1000/1118/993 999/1125/999 991/1116/991 -f 993/1117/992 1001/1126/1000 1008/1127/1001 1000/1118/993 -f 994/1119/994 1002/1128/1002 1001/1129/1000 993/1120/992 -f 995/1121/995 1003/1130/1003 1002/1128/1002 994/1119/994 -f 996/1122/996 1004/1131/1004 1003/1130/1003 995/1121/995 -f 997/1123/997 1005/1132/1005 1004/1131/1004 996/1122/996 -f 998/1124/998 1006/1133/1006 1005/1132/1005 997/1123/997 -f 999/1125/999 1007/1134/1007 1006/1133/1006 998/1124/998 -f 1000/1118/993 1008/1127/1001 1007/1134/1007 999/1125/999 -f 1001/1126/1000 1009/1135/1008 1016/1136/1009 1008/1127/1001 -f 1002/1128/1002 1010/1137/1010 1009/1138/1008 1001/1129/1000 -f 1003/1130/1003 1011/1139/1011 1010/1137/1010 1002/1128/1002 -f 1004/1131/1004 1012/1140/1012 1011/1139/1011 1003/1130/1003 -f 1005/1132/1005 1013/1141/1013 1012/1140/1012 1004/1131/1004 -f 1006/1133/1006 1014/1142/1014 1013/1141/1013 1005/1132/1005 -f 1007/1134/1007 1015/1143/1015 1014/1142/1014 1006/1133/1006 -f 1008/1127/1001 1016/1136/1009 1015/1143/1015 1007/1134/1007 -f 1009/1135/1008 1017/1144/1016 1024/1145/1017 1016/1136/1009 -f 1010/1137/1010 1018/1146/1018 1017/1147/1016 1009/1138/1008 -f 1011/1139/1011 1019/1148/1019 1018/1146/1018 1010/1137/1010 -f 1012/1140/1012 1020/1149/1020 1019/1148/1019 1011/1139/1011 -f 1013/1141/1013 1021/1150/1021 1020/1149/1020 1012/1140/1012 -f 1014/1142/1014 1022/1151/1022 1021/1150/1021 1013/1141/1013 -f 1015/1143/1015 1023/1152/1023 1022/1151/1022 1014/1142/1014 -f 1016/1136/1009 1024/1145/1017 1023/1152/1023 1015/1143/1015 -f 1017/1144/1016 1025/1153/1024 1032/1154/1025 1024/1145/1017 -f 1018/1146/1018 1026/1155/1026 1025/1156/1024 1017/1147/1016 -f 1019/1148/1019 1027/1157/1027 1026/1155/1026 1018/1146/1018 -f 1020/1149/1020 1028/1158/1028 1027/1157/1027 1019/1148/1019 -f 1021/1150/1021 1029/1159/1029 1028/1158/1028 1020/1149/1020 -f 1022/1151/1022 1030/1160/1030 1029/1159/1029 1021/1150/1021 -f 1023/1152/1023 1031/1161/1031 1030/1160/1030 1022/1151/1022 -f 1024/1145/1017 1032/1154/1025 1031/1161/1031 1023/1152/1023 -f 1025/1153/1024 1033/1162/1032 1040/1163/1033 1032/1154/1025 -f 1026/1155/1026 1034/1164/1034 1033/1165/1032 1025/1156/1024 -f 1027/1157/1027 1035/1166/1035 1034/1164/1034 1026/1155/1026 -f 1028/1158/1028 1036/1167/1036 1035/1166/1035 1027/1157/1027 -f 1029/1159/1029 1037/1168/1037 1036/1167/1036 1028/1158/1028 -f 1030/1160/1030 1038/1169/1038 1037/1168/1037 1029/1159/1029 -f 1031/1161/1031 1039/1170/1039 1038/1169/1038 1030/1160/1030 -f 1032/1154/1025 1040/1163/1033 1039/1170/1039 1031/1161/1031 -f 1033/1162/1032 1041/1171/1040 1048/1172/1041 1040/1163/1033 -f 1034/1164/1034 1042/1173/1042 1041/1174/1040 1033/1165/1032 -f 1035/1166/1035 1043/1175/1043 1042/1173/1042 1034/1164/1034 -f 1036/1167/1036 1044/1176/1044 1043/1175/1043 1035/1166/1035 -f 1037/1168/1037 1045/1177/1045 1044/1176/1044 1036/1167/1036 -f 1038/1169/1038 1046/1178/1046 1045/1177/1045 1037/1168/1037 -f 1039/1170/1039 1047/1179/1047 1046/1178/1046 1038/1169/1038 -f 1040/1163/1033 1048/1172/1041 1047/1179/1047 1039/1170/1039 -f 1041/1171/1040 1049/1180/1048 1056/1181/1049 1048/1172/1041 -f 1042/1173/1042 1050/1182/1050 1049/1183/1048 1041/1174/1040 -f 1043/1175/1043 1051/1184/1051 1050/1182/1050 1042/1173/1042 -f 1044/1176/1044 1052/1185/1052 1051/1184/1051 1043/1175/1043 -f 1045/1177/1045 1053/1186/1053 1052/1185/1052 1044/1176/1044 -f 1046/1178/1046 1054/1187/1054 1053/1186/1053 1045/1177/1045 -f 1047/1179/1047 1055/1188/1055 1054/1187/1054 1046/1178/1046 -f 1048/1172/1041 1056/1181/1049 1055/1188/1055 1047/1179/1047 -f 1049/1180/1048 1057/1189/1056 1064/1190/1057 1056/1181/1049 -f 1050/1182/1050 1058/1191/1058 1057/1192/1056 1049/1183/1048 -f 1051/1184/1051 1059/1193/1059 1058/1191/1058 1050/1182/1050 -f 1052/1185/1052 1060/1194/1060 1059/1193/1059 1051/1184/1051 -f 1053/1186/1053 1061/1195/1061 1060/1194/1060 1052/1185/1052 -f 1054/1187/1054 1062/1196/1062 1061/1195/1061 1053/1186/1053 -f 1055/1188/1055 1063/1197/1063 1062/1196/1062 1054/1187/1054 -f 1056/1181/1049 1064/1190/1057 1063/1197/1063 1055/1188/1055 -f 1057/1189/1056 1065/1198/1064 1072/1199/1065 1064/1190/1057 -f 1058/1191/1058 1066/1200/1066 1065/1201/1064 1057/1192/1056 -f 1059/1193/1059 1067/1202/1067 1066/1200/1066 1058/1191/1058 -f 1060/1194/1060 1068/1203/1068 1067/1202/1067 1059/1193/1059 -f 1061/1195/1061 1069/1204/1069 1068/1203/1068 1060/1194/1060 -f 1062/1196/1062 1070/1205/1070 1069/1204/1069 1061/1195/1061 -f 1063/1197/1063 1071/1206/1071 1070/1205/1070 1062/1196/1062 -f 1064/1190/1057 1072/1199/1065 1071/1206/1071 1063/1197/1063 -f 1065/1198/1064 1073/1207/1072 1080/1208/1073 1072/1199/1065 -f 1066/1200/1066 1074/1209/1074 1073/1210/1072 1065/1201/1064 -f 1067/1202/1067 1075/1211/1075 1074/1209/1074 1066/1200/1066 -f 1068/1203/1068 1076/1212/1076 1075/1211/1075 1067/1202/1067 -f 1069/1204/1069 1077/1213/1077 1076/1212/1076 1068/1203/1068 -f 1070/1205/1070 1078/1214/1078 1077/1213/1077 1069/1204/1069 -f 1071/1206/1071 1079/1215/1079 1078/1214/1078 1070/1205/1070 -f 1072/1199/1065 1080/1208/1073 1079/1215/1079 1071/1206/1071 -f 1073/1207/1072 1081/1216/1080 1088/1217/1081 1080/1208/1073 -f 1074/1209/1074 1082/1218/1082 1081/1219/1080 1073/1210/1072 -f 1075/1211/1075 1083/1220/1083 1082/1218/1082 1074/1209/1074 -f 1076/1212/1076 1084/1221/1084 1083/1220/1083 1075/1211/1075 -f 1077/1213/1077 1085/1222/1085 1084/1221/1084 1076/1212/1076 -f 1078/1214/1078 1086/1223/1086 1085/1222/1085 1077/1213/1077 -f 1079/1215/1079 1087/1224/1087 1086/1223/1086 1078/1214/1078 -f 1080/1208/1073 1088/1217/1081 1087/1224/1087 1079/1215/1079 -f 1081/1216/1080 1089/1225/1088 1096/1226/1089 1088/1217/1081 -f 1082/1218/1082 1090/1227/1090 1089/1228/1088 1081/1219/1080 -f 1083/1220/1083 1091/1229/1091 1090/1227/1090 1082/1218/1082 -f 1084/1221/1084 1092/1230/1092 1091/1229/1091 1083/1220/1083 -f 1085/1222/1085 1093/1231/1093 1092/1230/1092 1084/1221/1084 -f 1086/1223/1086 1094/1232/1094 1093/1231/1093 1085/1222/1085 -f 1087/1224/1087 1095/1233/1095 1094/1232/1094 1086/1223/1086 -f 1088/1217/1081 1096/1226/1089 1095/1233/1095 1087/1224/1087 -f 1097/1234/1096 1105/1235/1097 1112/1236/1098 1104/1237/1099 -f 1098/1238/1100 1106/1239/1101 1105/1240/1097 1097/1241/1096 -f 1099/1242/1102 1107/1243/1103 1106/1239/1101 1098/1238/1100 -f 1100/1244/1104 1108/1245/1105 1107/1243/1103 1099/1242/1102 -f 1101/1246/1106 1109/1247/1107 1108/1245/1105 1100/1244/1104 -f 1102/1248/1108 1110/1249/1109 1109/1247/1107 1101/1246/1106 -f 1103/1250/1110 1111/1251/1111 1110/1249/1109 1102/1248/1108 -f 1104/1237/1099 1112/1236/1098 1111/1251/1111 1103/1250/1110 -f 1105/1235/1097 1113/1252/1112 1120/1253/1113 1112/1236/1098 -f 1106/1239/1101 1114/1254/1114 1113/1255/1112 1105/1240/1097 -f 1107/1243/1103 1115/1256/1115 1114/1254/1114 1106/1239/1101 -f 1108/1245/1105 1116/1257/1116 1115/1256/1115 1107/1243/1103 -f 1109/1247/1107 1117/1258/1117 1116/1257/1116 1108/1245/1105 -f 1110/1249/1109 1118/1259/1118 1117/1258/1117 1109/1247/1107 -f 1111/1251/1111 1119/1260/1119 1118/1259/1118 1110/1249/1109 -f 1112/1236/1098 1120/1253/1113 1119/1260/1119 1111/1251/1111 -f 1113/1252/1112 1121/1261/1120 1128/1262/1121 1120/1253/1113 -f 1114/1254/1114 1122/1263/1122 1121/1264/1120 1113/1255/1112 -f 1115/1256/1115 1123/1265/1123 1122/1263/1122 1114/1254/1114 -f 1116/1257/1116 1124/1266/1124 1123/1265/1123 1115/1256/1115 -f 1117/1258/1117 1125/1267/1125 1124/1266/1124 1116/1257/1116 -f 1118/1259/1118 1126/1268/1126 1125/1267/1125 1117/1258/1117 -f 1119/1260/1119 1127/1269/1127 1126/1268/1126 1118/1259/1118 -f 1120/1253/1113 1128/1262/1121 1127/1269/1127 1119/1260/1119 -f 1121/1261/1120 1129/1270/1128 1136/1271/1129 1128/1262/1121 -f 1122/1263/1122 1130/1272/1130 1129/1273/1128 1121/1264/1120 -f 1123/1265/1123 1131/1274/1131 1130/1272/1130 1122/1263/1122 -f 1124/1266/1124 1132/1275/1132 1131/1274/1131 1123/1265/1123 -f 1125/1267/1125 1133/1276/1133 1132/1275/1132 1124/1266/1124 -f 1126/1268/1126 1134/1277/1134 1133/1276/1133 1125/1267/1125 -f 1127/1269/1127 1135/1278/1135 1134/1277/1134 1126/1268/1126 -f 1128/1262/1121 1136/1271/1129 1135/1278/1135 1127/1269/1127 -f 1129/1270/1128 1137/1279/1136 1144/1280/1137 1136/1271/1129 -f 1130/1272/1130 1138/1281/1138 1137/1282/1136 1129/1273/1128 -f 1131/1274/1131 1139/1283/1139 1138/1281/1138 1130/1272/1130 -f 1132/1275/1132 1140/1284/1140 1139/1283/1139 1131/1274/1131 -f 1133/1276/1133 1141/1285/1141 1140/1284/1140 1132/1275/1132 -f 1134/1277/1134 1142/1286/1142 1141/1285/1141 1133/1276/1133 -f 1135/1278/1135 1143/1287/1143 1142/1286/1142 1134/1277/1134 -f 1136/1271/1129 1144/1280/1137 1143/1287/1143 1135/1278/1135 -f 1137/1279/1136 1145/1288/1144 1152/1289/1145 1144/1280/1137 -f 1138/1281/1138 1146/1290/1146 1145/1291/1144 1137/1282/1136 -f 1139/1283/1139 1147/1292/1147 1146/1290/1146 1138/1281/1138 -f 1140/1284/1140 1148/1293/1148 1147/1292/1147 1139/1283/1139 -f 1141/1285/1141 1149/1294/1149 1148/1293/1148 1140/1284/1140 -f 1142/1286/1142 1150/1295/1150 1149/1294/1149 1141/1285/1141 -f 1143/1287/1143 1151/1296/1151 1150/1295/1150 1142/1286/1142 -f 1144/1280/1137 1152/1289/1145 1151/1296/1151 1143/1287/1143 -f 1145/1288/1144 1153/1297/1152 1160/1298/1153 1152/1289/1145 -f 1146/1290/1146 1154/1299/1154 1153/1300/1152 1145/1291/1144 -f 1147/1292/1147 1155/1301/1155 1154/1299/1154 1146/1290/1146 -f 1148/1293/1148 1156/1302/1156 1155/1301/1155 1147/1292/1147 -f 1149/1294/1149 1157/1303/1157 1156/1302/1156 1148/1293/1148 -f 1150/1295/1150 1158/1304/1158 1157/1303/1157 1149/1294/1149 -f 1151/1296/1151 1159/1305/1159 1158/1304/1158 1150/1295/1150 -f 1152/1289/1145 1160/1298/1153 1159/1305/1159 1151/1296/1151 -f 1153/1297/1152 1161/1306/1160 1168/1307/1161 1160/1298/1153 -f 1154/1299/1154 1162/1308/1162 1161/1309/1160 1153/1300/1152 -f 1155/1301/1155 1163/1310/1163 1162/1308/1162 1154/1299/1154 -f 1156/1302/1156 1164/1311/1164 1163/1310/1163 1155/1301/1155 -f 1157/1303/1157 1165/1312/1165 1164/1311/1164 1156/1302/1156 -f 1158/1304/1158 1166/1313/1166 1165/1312/1165 1157/1303/1157 -f 1159/1305/1159 1167/1314/1167 1166/1313/1166 1158/1304/1158 -f 1160/1298/1153 1168/1307/1161 1167/1314/1167 1159/1305/1159 -f 1161/1306/1160 1169/1315/1168 1176/1316/1169 1168/1307/1161 -f 1162/1308/1162 1170/1317/1170 1169/1318/1168 1161/1309/1160 -f 1163/1310/1163 1171/1319/1171 1170/1317/1170 1162/1308/1162 -f 1164/1311/1164 1172/1320/1172 1171/1319/1171 1163/1310/1163 -f 1165/1312/1165 1173/1321/1173 1172/1320/1172 1164/1311/1164 -f 1166/1313/1166 1174/1322/1174 1173/1321/1173 1165/1312/1165 -f 1167/1314/1167 1175/1323/1175 1174/1322/1174 1166/1313/1166 -f 1168/1307/1161 1176/1316/1169 1175/1323/1175 1167/1314/1167 -f 1169/1315/1168 1177/1324/1176 1184/1325/1177 1176/1316/1169 -f 1170/1317/1170 1178/1326/1178 1177/1327/1176 1169/1318/1168 -f 1171/1319/1171 1179/1328/1179 1178/1326/1178 1170/1317/1170 -f 1172/1320/1172 1180/1329/1180 1179/1328/1179 1171/1319/1171 -f 1173/1321/1173 1181/1330/1181 1180/1329/1180 1172/1320/1172 -f 1174/1322/1174 1182/1331/1182 1181/1330/1181 1173/1321/1173 -f 1175/1323/1175 1183/1332/1183 1182/1331/1182 1174/1322/1174 -f 1176/1316/1169 1184/1325/1177 1183/1332/1183 1175/1323/1175 -f 1177/1324/1176 1185/1333/1184 1192/1334/1185 1184/1325/1177 -f 1178/1326/1178 1186/1335/1186 1185/1336/1184 1177/1327/1176 -f 1179/1328/1179 1187/1337/1187 1186/1335/1186 1178/1326/1178 -f 1180/1329/1180 1188/1338/1188 1187/1337/1187 1179/1328/1179 -f 1181/1330/1181 1189/1339/1189 1188/1338/1188 1180/1329/1180 -f 1182/1331/1182 1190/1340/1190 1189/1339/1189 1181/1330/1181 -f 1183/1332/1183 1191/1341/1191 1190/1340/1190 1182/1331/1182 -f 1184/1325/1177 1192/1334/1185 1191/1341/1191 1183/1332/1183 -f 1185/1333/1184 1193/1342/1192 1200/1343/1193 1192/1334/1185 -f 1186/1335/1186 1194/1344/1194 1193/1345/1192 1185/1336/1184 -f 1187/1337/1187 1195/1346/1195 1194/1344/1194 1186/1335/1186 -f 1188/1338/1188 1196/1347/1196 1195/1346/1195 1187/1337/1187 -f 1189/1339/1189 1197/1348/1197 1196/1347/1196 1188/1338/1188 -f 1190/1340/1190 1198/1349/1198 1197/1348/1197 1189/1339/1189 -f 1191/1341/1191 1199/1350/1199 1198/1349/1198 1190/1340/1190 -f 1192/1334/1185 1200/1343/1193 1199/1350/1199 1191/1341/1191 -f 1193/1342/1192 1201/1351/1200 1208/1352/1201 1200/1343/1193 -f 1194/1344/1194 1202/1353/1202 1201/1354/1200 1193/1345/1192 -f 1195/1346/1195 1203/1355/1203 1202/1353/1202 1194/1344/1194 -f 1196/1347/1196 1204/1356/1204 1203/1355/1203 1195/1346/1195 -f 1197/1348/1197 1205/1357/1205 1204/1356/1204 1196/1347/1196 -f 1198/1349/1198 1206/1358/1206 1205/1357/1205 1197/1348/1197 -f 1199/1350/1199 1207/1359/1207 1206/1358/1206 1198/1349/1198 -f 1200/1343/1193 1208/1352/1201 1207/1359/1207 1199/1350/1199 -f 1201/1351/1200 1209/1360/1208 1216/1361/1209 1208/1352/1201 -f 1202/1353/1202 1210/1362/1210 1209/1363/1208 1201/1354/1200 -f 1203/1355/1203 1211/1364/1211 1210/1362/1210 1202/1353/1202 -f 1204/1356/1204 1212/1365/1212 1211/1364/1211 1203/1355/1203 -f 1205/1357/1205 1213/1366/1213 1212/1365/1212 1204/1356/1204 -f 1206/1358/1206 1214/1367/1214 1213/1366/1213 1205/1357/1205 -f 1207/1359/1207 1215/1368/1215 1214/1367/1214 1206/1358/1206 -f 1208/1352/1201 1216/1361/1209 1215/1368/1215 1207/1359/1207 -f 1209/1360/1208 1217/1369/1216 1224/1370/1217 1216/1361/1209 -f 1210/1362/1210 1218/1371/1218 1217/1372/1216 1209/1363/1208 -f 1211/1364/1211 1219/1373/1219 1218/1371/1218 1210/1362/1210 -f 1212/1365/1212 1220/1374/1220 1219/1373/1219 1211/1364/1211 -f 1213/1366/1213 1221/1375/1221 1220/1374/1220 1212/1365/1212 -f 1214/1367/1214 1222/1376/1222 1221/1375/1221 1213/1366/1213 -f 1215/1368/1215 1223/1377/1223 1222/1376/1222 1214/1367/1214 -f 1216/1361/1209 1224/1370/1217 1223/1377/1223 1215/1368/1215 -f 1225/1378/1224 1233/1379/1225 1240/1380/1226 1232/1381/1227 -f 1226/1382/1228 1234/1383/1229 1233/1384/1225 1225/1385/1224 -f 1227/1386/1230 1235/1387/1231 1234/1383/1229 1226/1382/1228 -f 1228/1388/1232 1236/1389/1233 1235/1387/1231 1227/1386/1230 -f 1229/1390/1234 1237/1391/1235 1236/1389/1233 1228/1388/1232 -f 1230/1392/1236 1238/1393/1237 1237/1391/1235 1229/1390/1234 -f 1231/1394/1238 1239/1395/1239 1238/1393/1237 1230/1392/1236 -f 1232/1381/1227 1240/1380/1226 1239/1395/1239 1231/1394/1238 -f 1233/1379/1225 1241/1396/1240 1248/1397/1241 1240/1380/1226 -f 1234/1383/1229 1242/1398/1242 1241/1399/1240 1233/1384/1225 -f 1235/1387/1231 1243/1400/1243 1242/1398/1242 1234/1383/1229 -f 1236/1389/1233 1244/1401/1244 1243/1400/1243 1235/1387/1231 -f 1237/1391/1235 1245/1402/1245 1244/1401/1244 1236/1389/1233 -f 1238/1393/1237 1246/1403/1246 1245/1402/1245 1237/1391/1235 -f 1239/1395/1239 1247/1404/1247 1246/1403/1246 1238/1393/1237 -f 1240/1380/1226 1248/1397/1241 1247/1404/1247 1239/1395/1239 -f 1241/1396/1240 1249/1405/1248 1256/1406/1249 1248/1397/1241 -f 1242/1398/1242 1250/1407/1250 1249/1408/1248 1241/1399/1240 -f 1243/1400/1243 1251/1409/1251 1250/1407/1250 1242/1398/1242 -f 1244/1401/1244 1252/1410/1252 1251/1409/1251 1243/1400/1243 -f 1245/1402/1245 1253/1411/1253 1252/1410/1252 1244/1401/1244 -f 1246/1403/1246 1254/1412/1254 1253/1411/1253 1245/1402/1245 -f 1247/1404/1247 1255/1413/1255 1254/1412/1254 1246/1403/1246 -f 1248/1397/1241 1256/1406/1249 1255/1413/1255 1247/1404/1247 -f 1249/1405/1248 1257/1414/1256 1264/1415/1257 1256/1406/1249 -f 1250/1407/1250 1258/1416/1258 1257/1417/1256 1249/1408/1248 -f 1251/1409/1251 1259/1418/1259 1258/1416/1258 1250/1407/1250 -f 1252/1410/1252 1260/1419/1260 1259/1418/1259 1251/1409/1251 -f 1253/1411/1253 1261/1420/1261 1260/1419/1260 1252/1410/1252 -f 1254/1412/1254 1262/1421/1262 1261/1420/1261 1253/1411/1253 -f 1255/1413/1255 1263/1422/1263 1262/1421/1262 1254/1412/1254 -f 1256/1406/1249 1264/1415/1257 1263/1422/1263 1255/1413/1255 -f 1257/1414/1256 1265/1423/1264 1272/1424/1265 1264/1415/1257 -f 1258/1416/1258 1266/1425/1266 1265/1426/1264 1257/1417/1256 -f 1259/1418/1259 1267/1427/1267 1266/1425/1266 1258/1416/1258 -f 1260/1419/1260 1268/1428/1268 1267/1427/1267 1259/1418/1259 -f 1261/1420/1261 1269/1429/1269 1268/1428/1268 1260/1419/1260 -f 1262/1421/1262 1270/1430/1270 1269/1429/1269 1261/1420/1261 -f 1263/1422/1263 1271/1431/1271 1270/1430/1270 1262/1421/1262 -f 1264/1415/1257 1272/1424/1265 1271/1431/1271 1263/1422/1263 -f 1265/1423/1264 1273/1432/1272 1280/1433/1273 1272/1424/1265 -f 1266/1425/1266 1274/1434/1274 1273/1435/1272 1265/1426/1264 -f 1267/1427/1267 1275/1436/1275 1274/1434/1274 1266/1425/1266 -f 1268/1428/1268 1276/1437/1276 1275/1436/1275 1267/1427/1267 -f 1269/1429/1269 1277/1438/1277 1276/1437/1276 1268/1428/1268 -f 1270/1430/1270 1278/1439/1278 1277/1438/1277 1269/1429/1269 -f 1271/1431/1271 1279/1440/1279 1278/1439/1278 1270/1430/1270 -f 1272/1424/1265 1280/1433/1273 1279/1440/1279 1271/1431/1271 -f 1273/1432/1272 1281/1441/1280 1288/1442/1281 1280/1433/1273 -f 1274/1434/1274 1282/1443/1282 1281/1444/1280 1273/1435/1272 -f 1275/1436/1275 1283/1445/1283 1282/1443/1282 1274/1434/1274 -f 1276/1437/1276 1284/1446/1284 1283/1445/1283 1275/1436/1275 -f 1277/1438/1277 1285/1447/1285 1284/1446/1284 1276/1437/1276 -f 1278/1439/1278 1286/1448/1286 1285/1447/1285 1277/1438/1277 -f 1279/1440/1279 1287/1449/1287 1286/1448/1286 1278/1439/1278 -f 1280/1433/1273 1288/1442/1281 1287/1449/1287 1279/1440/1279 -f 1281/1441/1280 1289/1450/1288 1296/1451/1289 1288/1442/1281 -f 1282/1443/1282 1290/1452/1290 1289/1453/1288 1281/1444/1280 -f 1283/1445/1283 1291/1454/1291 1290/1452/1290 1282/1443/1282 -f 1284/1446/1284 1292/1455/1292 1291/1454/1291 1283/1445/1283 -f 1285/1447/1285 1293/1456/1293 1292/1455/1292 1284/1446/1284 -f 1286/1448/1286 1294/1457/1294 1293/1456/1293 1285/1447/1285 -f 1287/1449/1287 1295/1458/1295 1294/1457/1294 1286/1448/1286 -f 1288/1442/1281 1296/1451/1289 1295/1458/1295 1287/1449/1287 -f 1289/1450/1288 1297/1459/1296 1304/1460/1297 1296/1451/1289 -f 1290/1452/1290 1298/1461/1298 1297/1462/1296 1289/1453/1288 -f 1291/1454/1291 1299/1463/1299 1298/1461/1298 1290/1452/1290 -f 1292/1455/1292 1300/1464/1300 1299/1463/1299 1291/1454/1291 -f 1293/1456/1293 1301/1465/1301 1300/1464/1300 1292/1455/1292 -f 1294/1457/1294 1302/1466/1302 1301/1465/1301 1293/1456/1293 -f 1295/1458/1295 1303/1467/1303 1302/1466/1302 1294/1457/1294 -f 1296/1451/1289 1304/1460/1297 1303/1467/1303 1295/1458/1295 -f 1297/1459/1296 1305/1468/1304 1312/1469/1305 1304/1460/1297 -f 1298/1461/1298 1306/1470/1306 1305/1471/1304 1297/1462/1296 -f 1299/1463/1299 1307/1472/1307 1306/1470/1306 1298/1461/1298 -f 1300/1464/1300 1308/1473/1308 1307/1472/1307 1299/1463/1299 -f 1301/1465/1301 1309/1474/1309 1308/1473/1308 1300/1464/1300 -f 1302/1466/1302 1310/1475/1310 1309/1474/1309 1301/1465/1301 -f 1303/1467/1303 1311/1476/1311 1310/1475/1310 1302/1466/1302 -f 1304/1460/1297 1312/1469/1305 1311/1476/1311 1303/1467/1303 -f 1305/1468/1304 1313/1477/1312 1320/1478/1313 1312/1469/1305 -f 1306/1470/1306 1314/1479/1314 1313/1480/1312 1305/1471/1304 -f 1307/1472/1307 1315/1481/1315 1314/1479/1314 1306/1470/1306 -f 1308/1473/1308 1316/1482/1316 1315/1481/1315 1307/1472/1307 -f 1309/1474/1309 1317/1483/1317 1316/1482/1316 1308/1473/1308 -f 1310/1475/1310 1318/1484/1318 1317/1483/1317 1309/1474/1309 -f 1311/1476/1311 1319/1485/1319 1318/1484/1318 1310/1475/1310 -f 1312/1469/1305 1320/1478/1313 1319/1485/1319 1311/1476/1311 -f 1313/1477/1312 1321/1486/1320 1328/1487/1321 1320/1478/1313 -f 1314/1479/1314 1322/1488/1322 1321/1489/1320 1313/1480/1312 -f 1315/1481/1315 1323/1490/1323 1322/1488/1322 1314/1479/1314 -f 1316/1482/1316 1324/1491/1324 1323/1490/1323 1315/1481/1315 -f 1317/1483/1317 1325/1492/1325 1324/1491/1324 1316/1482/1316 -f 1318/1484/1318 1326/1493/1326 1325/1492/1325 1317/1483/1317 -f 1319/1485/1319 1327/1494/1327 1326/1493/1326 1318/1484/1318 -f 1320/1478/1313 1328/1487/1321 1327/1494/1327 1319/1485/1319 -f 1321/1486/1320 1329/1495/1328 1336/1496/1329 1328/1487/1321 -f 1322/1488/1322 1330/1497/1330 1329/1498/1328 1321/1489/1320 -f 1323/1490/1323 1331/1499/1331 1330/1497/1330 1322/1488/1322 -f 1324/1491/1324 1332/1500/1332 1331/1499/1331 1323/1490/1323 -f 1325/1492/1325 1333/1501/1333 1332/1500/1332 1324/1491/1324 -f 1326/1493/1326 1334/1502/1334 1333/1501/1333 1325/1492/1325 -f 1327/1494/1327 1335/1503/1335 1334/1502/1334 1326/1493/1326 -f 1328/1487/1321 1336/1496/1329 1335/1503/1335 1327/1494/1327 -f 1329/1495/1328 1337/1504/1336 1344/1505/1337 1336/1496/1329 -f 1330/1497/1330 1338/1506/1338 1337/1507/1336 1329/1498/1328 -f 1331/1499/1331 1339/1508/1339 1338/1506/1338 1330/1497/1330 -f 1332/1500/1332 1340/1509/1340 1339/1508/1339 1331/1499/1331 -f 1333/1501/1333 1341/1510/1341 1340/1509/1340 1332/1500/1332 -f 1334/1502/1334 1342/1511/1342 1341/1510/1341 1333/1501/1333 -f 1335/1503/1335 1343/1512/1343 1342/1511/1342 1334/1502/1334 -f 1336/1496/1329 1344/1505/1337 1343/1512/1343 1335/1503/1335 -f 1337/1504/1336 1345/1513/1344 1352/1514/1345 1344/1505/1337 -f 1338/1506/1338 1346/1515/1346 1345/1516/1344 1337/1507/1336 -f 1339/1508/1339 1347/1517/1347 1346/1515/1346 1338/1506/1338 -f 1340/1509/1340 1348/1518/1348 1347/1517/1347 1339/1508/1339 -f 1341/1510/1341 1349/1519/1349 1348/1518/1348 1340/1509/1340 -f 1342/1511/1342 1350/1520/1350 1349/1519/1349 1341/1510/1341 -f 1343/1512/1343 1351/1521/1351 1350/1520/1350 1342/1511/1342 -f 1344/1505/1337 1352/1514/1345 1351/1521/1351 1343/1512/1343 -f 1353/1522/1352 1361/1523/1353 1368/1524/1354 1360/1525/1355 -f 1354/1526/1356 1362/1527/1357 1361/1528/1353 1353/1529/1352 -f 1355/1530/1358 1363/1531/1359 1362/1527/1357 1354/1526/1356 -f 1356/1532/1360 1364/1533/1361 1363/1531/1359 1355/1530/1358 -f 1357/1534/1362 1365/1535/1363 1364/1533/1361 1356/1532/1360 -f 1358/1536/1364 1366/1537/1365 1365/1535/1363 1357/1534/1362 -f 1359/1538/1366 1367/1539/1367 1366/1537/1365 1358/1536/1364 -f 1360/1525/1355 1368/1524/1354 1367/1539/1367 1359/1538/1366 -f 1361/1523/1353 1369/1540/1368 1376/1541/1369 1368/1524/1354 -f 1362/1527/1357 1370/1542/1370 1369/1543/1368 1361/1528/1353 -f 1363/1531/1359 1371/1544/1371 1370/1542/1370 1362/1527/1357 -f 1364/1533/1361 1372/1545/1372 1371/1544/1371 1363/1531/1359 -f 1365/1535/1363 1373/1546/1373 1372/1545/1372 1364/1533/1361 -f 1366/1537/1365 1374/1547/1374 1373/1546/1373 1365/1535/1363 -f 1367/1539/1367 1375/1548/1375 1374/1547/1374 1366/1537/1365 -f 1368/1524/1354 1376/1541/1369 1375/1548/1375 1367/1539/1367 -f 1369/1540/1368 1377/1549/1376 1384/1550/1377 1376/1541/1369 -f 1370/1542/1370 1378/1551/1378 1377/1552/1376 1369/1543/1368 -f 1371/1544/1371 1379/1553/1379 1378/1551/1378 1370/1542/1370 -f 1372/1545/1372 1380/1554/1380 1379/1553/1379 1371/1544/1371 -f 1373/1546/1373 1381/1555/1381 1380/1554/1380 1372/1545/1372 -f 1374/1547/1374 1382/1556/1382 1381/1555/1381 1373/1546/1373 -f 1375/1548/1375 1383/1557/1383 1382/1556/1382 1374/1547/1374 -f 1376/1541/1369 1384/1550/1377 1383/1557/1383 1375/1548/1375 -f 1377/1549/1376 1385/1558/1384 1392/1559/1385 1384/1550/1377 -f 1378/1551/1378 1386/1560/1386 1385/1561/1384 1377/1552/1376 -f 1379/1553/1379 1387/1562/1387 1386/1560/1386 1378/1551/1378 -f 1380/1554/1380 1388/1563/1388 1387/1562/1387 1379/1553/1379 -f 1381/1555/1381 1389/1564/1389 1388/1563/1388 1380/1554/1380 -f 1382/1556/1382 1390/1565/1390 1389/1564/1389 1381/1555/1381 -f 1383/1557/1383 1391/1566/1391 1390/1565/1390 1382/1556/1382 -f 1384/1550/1377 1392/1559/1385 1391/1566/1391 1383/1557/1383 -f 1385/1558/1384 1393/1567/1392 1400/1568/1393 1392/1559/1385 -f 1386/1560/1386 1394/1569/1394 1393/1570/1392 1385/1561/1384 -f 1387/1562/1387 1395/1571/1395 1394/1569/1394 1386/1560/1386 -f 1388/1563/1388 1396/1572/1396 1395/1571/1395 1387/1562/1387 -f 1389/1564/1389 1397/1573/1397 1396/1572/1396 1388/1563/1388 -f 1390/1565/1390 1398/1574/1398 1397/1573/1397 1389/1564/1389 -f 1391/1566/1391 1399/1575/1399 1398/1574/1398 1390/1565/1390 -f 1392/1559/1385 1400/1568/1393 1399/1575/1399 1391/1566/1391 -f 1393/1567/1392 1401/1576/1400 1408/1577/1401 1400/1568/1393 -f 1394/1569/1394 1402/1578/1402 1401/1579/1400 1393/1570/1392 -f 1395/1571/1395 1403/1580/1403 1402/1578/1402 1394/1569/1394 -f 1396/1572/1396 1404/1581/1404 1403/1580/1403 1395/1571/1395 -f 1397/1573/1397 1405/1582/1405 1404/1581/1404 1396/1572/1396 -f 1398/1574/1398 1406/1583/1406 1405/1582/1405 1397/1573/1397 -f 1399/1575/1399 1407/1584/1407 1406/1583/1406 1398/1574/1398 -f 1400/1568/1393 1408/1577/1401 1407/1584/1407 1399/1575/1399 -f 1401/1576/1400 1409/1585/1408 1416/1586/1409 1408/1577/1401 -f 1402/1578/1402 1410/1587/1410 1409/1588/1408 1401/1579/1400 -f 1403/1580/1403 1411/1589/1411 1410/1587/1410 1402/1578/1402 -f 1404/1581/1404 1412/1590/1412 1411/1589/1411 1403/1580/1403 -f 1405/1582/1405 1413/1591/1413 1412/1590/1412 1404/1581/1404 -f 1406/1583/1406 1414/1592/1414 1413/1591/1413 1405/1582/1405 -f 1407/1584/1407 1415/1593/1415 1414/1592/1414 1406/1583/1406 -f 1408/1577/1401 1416/1586/1409 1415/1593/1415 1407/1584/1407 -f 1409/1585/1408 1417/1594/1416 1424/1595/1417 1416/1586/1409 -f 1410/1587/1410 1418/1596/1418 1417/1597/1416 1409/1588/1408 -f 1411/1589/1411 1419/1598/1419 1418/1596/1418 1410/1587/1410 -f 1412/1590/1412 1420/1599/1420 1419/1598/1419 1411/1589/1411 -f 1413/1591/1413 1421/1600/1421 1420/1599/1420 1412/1590/1412 -f 1414/1592/1414 1422/1601/1422 1421/1600/1421 1413/1591/1413 -f 1415/1593/1415 1423/1602/1423 1422/1601/1422 1414/1592/1414 -f 1416/1586/1409 1424/1595/1417 1423/1602/1423 1415/1593/1415 -f 1417/1594/1416 1425/1603/1424 1432/1604/1425 1424/1595/1417 -f 1418/1596/1418 1426/1605/1426 1425/1606/1424 1417/1597/1416 -f 1419/1598/1419 1427/1607/1427 1426/1605/1426 1418/1596/1418 -f 1420/1599/1420 1428/1608/1428 1427/1607/1427 1419/1598/1419 -f 1421/1600/1421 1429/1609/1429 1428/1608/1428 1420/1599/1420 -f 1422/1601/1422 1430/1610/1430 1429/1609/1429 1421/1600/1421 -f 1423/1602/1423 1431/1611/1431 1430/1610/1430 1422/1601/1422 -f 1424/1595/1417 1432/1604/1425 1431/1611/1431 1423/1602/1423 -f 1425/1603/1424 1433/1612/1432 1440/1613/1433 1432/1604/1425 -f 1426/1605/1426 1434/1614/1434 1433/1615/1432 1425/1606/1424 -f 1427/1607/1427 1435/1616/1435 1434/1614/1434 1426/1605/1426 -f 1428/1608/1428 1436/1617/1436 1435/1616/1435 1427/1607/1427 -f 1429/1609/1429 1437/1618/1437 1436/1617/1436 1428/1608/1428 -f 1430/1610/1430 1438/1619/1438 1437/1618/1437 1429/1609/1429 -f 1431/1611/1431 1439/1620/1439 1438/1619/1438 1430/1610/1430 -f 1432/1604/1425 1440/1613/1433 1439/1620/1439 1431/1611/1431 -f 1433/1612/1432 1441/1621/1440 1448/1622/1441 1440/1613/1433 -f 1434/1614/1434 1442/1623/1442 1441/1624/1440 1433/1615/1432 -f 1435/1616/1435 1443/1625/1443 1442/1623/1442 1434/1614/1434 -f 1436/1617/1436 1444/1626/1444 1443/1625/1443 1435/1616/1435 -f 1437/1618/1437 1445/1627/1445 1444/1626/1444 1436/1617/1436 -f 1438/1619/1438 1446/1628/1446 1445/1627/1445 1437/1618/1437 -f 1439/1620/1439 1447/1629/1447 1446/1628/1446 1438/1619/1438 -f 1440/1613/1433 1448/1622/1441 1447/1629/1447 1439/1620/1439 -f 1441/1621/1440 1449/1630/1448 1456/1631/1449 1448/1622/1441 -f 1442/1623/1442 1450/1632/1450 1449/1633/1448 1441/1624/1440 -f 1443/1625/1443 1451/1634/1451 1450/1632/1450 1442/1623/1442 -f 1444/1626/1444 1452/1635/1452 1451/1634/1451 1443/1625/1443 -f 1445/1627/1445 1453/1636/1453 1452/1635/1452 1444/1626/1444 -f 1446/1628/1446 1454/1637/1454 1453/1636/1453 1445/1627/1445 -f 1447/1629/1447 1455/1638/1455 1454/1637/1454 1446/1628/1446 -f 1448/1622/1441 1456/1631/1449 1455/1638/1455 1447/1629/1447 -f 1449/1630/1448 1457/1639/1456 1464/1640/1457 1456/1631/1449 -f 1450/1632/1450 1458/1641/1458 1457/1642/1456 1449/1633/1448 -f 1451/1634/1451 1459/1643/1459 1458/1641/1458 1450/1632/1450 -f 1452/1635/1452 1460/1644/1460 1459/1643/1459 1451/1634/1451 -f 1453/1636/1453 1461/1645/1461 1460/1644/1460 1452/1635/1452 -f 1454/1637/1454 1462/1646/1462 1461/1645/1461 1453/1636/1453 -f 1455/1638/1455 1463/1647/1463 1462/1646/1462 1454/1637/1454 -f 1456/1631/1449 1464/1640/1457 1463/1647/1463 1455/1638/1455 -f 1457/1639/1456 1465/1648/1464 1472/1649/1465 1464/1640/1457 -f 1458/1641/1458 1466/1650/1466 1465/1651/1464 1457/1642/1456 -f 1459/1643/1459 1467/1652/1467 1466/1650/1466 1458/1641/1458 -f 1460/1644/1460 1468/1653/1468 1467/1652/1467 1459/1643/1459 -f 1461/1645/1461 1469/1654/1469 1468/1653/1468 1460/1644/1460 -f 1462/1646/1462 1470/1655/1470 1469/1654/1469 1461/1645/1461 -f 1463/1647/1463 1471/1656/1471 1470/1655/1470 1462/1646/1462 -f 1464/1640/1457 1472/1649/1465 1471/1656/1471 1463/1647/1463 -f 1465/1648/1464 1473/1657/1472 1480/1658/1473 1472/1649/1465 -f 1466/1650/1466 1474/1659/1474 1473/1660/1472 1465/1651/1464 -f 1467/1652/1467 1475/1661/1475 1474/1659/1474 1466/1650/1466 -f 1468/1653/1468 1476/1662/1476 1475/1661/1475 1467/1652/1467 -f 1469/1654/1469 1477/1663/1477 1476/1662/1476 1468/1653/1468 -f 1470/1655/1470 1478/1664/1478 1477/1663/1477 1469/1654/1469 -f 1471/1656/1471 1479/1665/1479 1478/1664/1478 1470/1655/1470 -f 1472/1649/1465 1480/1658/1473 1479/1665/1479 1471/1656/1471 -f 1481/1666/1480 1489/1667/1481 1496/1668/1482 1488/1669/1483 -f 1482/1670/1484 1490/1671/1485 1489/1672/1481 1481/1673/1480 -f 1483/1674/1486 1491/1675/1487 1490/1671/1485 1482/1670/1484 -f 1484/1676/1488 1492/1677/1489 1491/1675/1487 1483/1674/1486 -f 1485/1678/1490 1493/1679/1491 1492/1677/1489 1484/1676/1488 -f 1486/1680/1492 1494/1681/1493 1493/1679/1491 1485/1678/1490 -f 1487/1682/1494 1495/1683/1495 1494/1681/1493 1486/1680/1492 -f 1488/1669/1483 1496/1668/1482 1495/1683/1495 1487/1682/1494 -f 1489/1667/1481 1497/1684/1496 1504/1685/1497 1496/1668/1482 -f 1490/1671/1485 1498/1686/1498 1497/1687/1496 1489/1672/1481 -f 1491/1675/1487 1499/1688/1499 1498/1686/1498 1490/1671/1485 -f 1492/1677/1489 1500/1689/1500 1499/1688/1499 1491/1675/1487 -f 1493/1679/1491 1501/1690/1501 1500/1689/1500 1492/1677/1489 -f 1494/1681/1493 1502/1691/1502 1501/1690/1501 1493/1679/1491 -f 1495/1683/1495 1503/1692/1503 1502/1691/1502 1494/1681/1493 -f 1496/1668/1482 1504/1685/1497 1503/1692/1503 1495/1683/1495 -f 1497/1684/1496 1505/1693/1504 1512/1694/1505 1504/1685/1497 -f 1498/1686/1498 1506/1695/1506 1505/1696/1504 1497/1687/1496 -f 1499/1688/1499 1507/1697/1507 1506/1695/1506 1498/1686/1498 -f 1500/1689/1500 1508/1698/1508 1507/1697/1507 1499/1688/1499 -f 1501/1690/1501 1509/1699/1509 1508/1698/1508 1500/1689/1500 -f 1502/1691/1502 1510/1700/1510 1509/1699/1509 1501/1690/1501 -f 1503/1692/1503 1511/1701/1511 1510/1700/1510 1502/1691/1502 -f 1504/1685/1497 1512/1694/1505 1511/1701/1511 1503/1692/1503 -f 1505/1693/1504 1513/1702/1512 1520/1703/1513 1512/1694/1505 -f 1506/1695/1506 1514/1704/1514 1513/1705/1512 1505/1696/1504 -f 1507/1697/1507 1515/1706/1515 1514/1704/1514 1506/1695/1506 -f 1508/1698/1508 1516/1707/1516 1515/1706/1515 1507/1697/1507 -f 1509/1699/1509 1517/1708/1517 1516/1707/1516 1508/1698/1508 -f 1510/1700/1510 1518/1709/1518 1517/1708/1517 1509/1699/1509 -f 1511/1701/1511 1519/1710/1519 1518/1709/1518 1510/1700/1510 -f 1512/1694/1505 1520/1703/1513 1519/1710/1519 1511/1701/1511 -f 1513/1702/1512 1521/1711/1520 1528/1712/1521 1520/1703/1513 -f 1514/1704/1514 1522/1713/1522 1521/1714/1520 1513/1705/1512 -f 1515/1706/1515 1523/1715/1523 1522/1713/1522 1514/1704/1514 -f 1516/1707/1516 1524/1716/1524 1523/1715/1523 1515/1706/1515 -f 1517/1708/1517 1525/1717/1525 1524/1716/1524 1516/1707/1516 -f 1518/1709/1518 1526/1718/1526 1525/1717/1525 1517/1708/1517 -f 1519/1710/1519 1527/1719/1527 1526/1718/1526 1518/1709/1518 -f 1520/1703/1513 1528/1712/1521 1527/1719/1527 1519/1710/1519 -f 1521/1711/1520 1529/1720/1528 1536/1721/1529 1528/1712/1521 -f 1522/1713/1522 1530/1722/1530 1529/1723/1528 1521/1714/1520 -f 1523/1715/1523 1531/1724/1531 1530/1722/1530 1522/1713/1522 -f 1524/1716/1524 1532/1725/1532 1531/1724/1531 1523/1715/1523 -f 1525/1717/1525 1533/1726/1533 1532/1725/1532 1524/1716/1524 -f 1526/1718/1526 1534/1727/1534 1533/1726/1533 1525/1717/1525 -f 1527/1719/1527 1535/1728/1535 1534/1727/1534 1526/1718/1526 -f 1528/1712/1521 1536/1721/1529 1535/1728/1535 1527/1719/1527 -f 1529/1720/1528 1537/1729/1536 1544/1730/1537 1536/1721/1529 -f 1530/1722/1530 1538/1731/1538 1537/1732/1536 1529/1723/1528 -f 1531/1724/1531 1539/1733/1539 1538/1731/1538 1530/1722/1530 -f 1532/1725/1532 1540/1734/1540 1539/1733/1539 1531/1724/1531 -f 1533/1726/1533 1541/1735/1541 1540/1734/1540 1532/1725/1532 -f 1534/1727/1534 1542/1736/1542 1541/1735/1541 1533/1726/1533 -f 1535/1728/1535 1543/1737/1543 1542/1736/1542 1534/1727/1534 -f 1536/1721/1529 1544/1730/1537 1543/1737/1543 1535/1728/1535 -f 1537/1729/1536 1545/1738/1544 1552/1739/1545 1544/1730/1537 -f 1538/1731/1538 1546/1740/1546 1545/1741/1544 1537/1732/1536 -f 1539/1733/1539 1547/1742/1547 1546/1740/1546 1538/1731/1538 -f 1540/1734/1540 1548/1743/1548 1547/1742/1547 1539/1733/1539 -f 1541/1735/1541 1549/1744/1549 1548/1743/1548 1540/1734/1540 -f 1542/1736/1542 1550/1745/1550 1549/1744/1549 1541/1735/1541 -f 1543/1737/1543 1551/1746/1551 1550/1745/1550 1542/1736/1542 -f 1544/1730/1537 1552/1739/1545 1551/1746/1551 1543/1737/1543 -f 1545/1738/1544 1553/1747/1552 1560/1748/1553 1552/1739/1545 -f 1546/1740/1546 1554/1749/1554 1553/1750/1552 1545/1741/1544 -f 1547/1742/1547 1555/1751/1555 1554/1749/1554 1546/1740/1546 -f 1548/1743/1548 1556/1752/1556 1555/1751/1555 1547/1742/1547 -f 1549/1744/1549 1557/1753/1557 1556/1752/1556 1548/1743/1548 -f 1550/1745/1550 1558/1754/1558 1557/1753/1557 1549/1744/1549 -f 1551/1746/1551 1559/1755/1559 1558/1754/1558 1550/1745/1550 -f 1552/1739/1545 1560/1748/1553 1559/1755/1559 1551/1746/1551 -f 1553/1747/1552 1561/1756/1560 1568/1757/1561 1560/1748/1553 -f 1554/1749/1554 1562/1758/1562 1561/1759/1560 1553/1750/1552 -f 1555/1751/1555 1563/1760/1563 1562/1758/1562 1554/1749/1554 -f 1556/1752/1556 1564/1761/1564 1563/1760/1563 1555/1751/1555 -f 1557/1753/1557 1565/1762/1565 1564/1761/1564 1556/1752/1556 -f 1558/1754/1558 1566/1763/1566 1565/1762/1565 1557/1753/1557 -f 1559/1755/1559 1567/1764/1567 1566/1763/1566 1558/1754/1558 -f 1560/1748/1553 1568/1757/1561 1567/1764/1567 1559/1755/1559 -f 1561/1756/1560 1569/1765/1568 1576/1766/1569 1568/1757/1561 -f 1562/1758/1562 1570/1767/1570 1569/1768/1568 1561/1759/1560 -f 1563/1760/1563 1571/1769/1571 1570/1767/1570 1562/1758/1562 -f 1564/1761/1564 1572/1770/1572 1571/1769/1571 1563/1760/1563 -f 1565/1762/1565 1573/1771/1573 1572/1770/1572 1564/1761/1564 -f 1566/1763/1566 1574/1772/1574 1573/1771/1573 1565/1762/1565 -f 1567/1764/1567 1575/1773/1575 1574/1772/1574 1566/1763/1566 -f 1568/1757/1561 1576/1766/1569 1575/1773/1575 1567/1764/1567 -f 1569/1765/1568 1577/1774/1576 1584/1775/1577 1576/1766/1569 -f 1570/1767/1570 1578/1776/1578 1577/1777/1576 1569/1768/1568 -f 1571/1769/1571 1579/1778/1579 1578/1776/1578 1570/1767/1570 -f 1572/1770/1572 1580/1779/1580 1579/1778/1579 1571/1769/1571 -f 1573/1771/1573 1581/1780/1581 1580/1779/1580 1572/1770/1572 -f 1574/1772/1574 1582/1781/1582 1581/1780/1581 1573/1771/1573 -f 1575/1773/1575 1583/1782/1583 1582/1781/1582 1574/1772/1574 -f 1576/1766/1569 1584/1775/1577 1583/1782/1583 1575/1773/1575 -f 1577/1774/1576 1585/1783/1584 1592/1784/1585 1584/1775/1577 -f 1578/1776/1578 1586/1785/1586 1585/1786/1584 1577/1777/1576 -f 1579/1778/1579 1587/1787/1587 1586/1785/1586 1578/1776/1578 -f 1580/1779/1580 1588/1788/1588 1587/1787/1587 1579/1778/1579 -f 1581/1780/1581 1589/1789/1589 1588/1788/1588 1580/1779/1580 -f 1582/1781/1582 1590/1790/1590 1589/1789/1589 1581/1780/1581 -f 1583/1782/1583 1591/1791/1591 1590/1790/1590 1582/1781/1582 -f 1584/1775/1577 1592/1784/1585 1591/1791/1591 1583/1782/1583 -f 1585/1783/1584 1593/1792/1592 1600/1793/1593 1592/1784/1585 -f 1586/1785/1586 1594/1794/1594 1593/1795/1592 1585/1786/1584 -f 1587/1787/1587 1595/1796/1595 1594/1794/1594 1586/1785/1586 -f 1588/1788/1588 1596/1797/1596 1595/1796/1595 1587/1787/1587 -f 1589/1789/1589 1597/1798/1597 1596/1797/1596 1588/1788/1588 -f 1590/1790/1590 1598/1799/1598 1597/1798/1597 1589/1789/1589 -f 1591/1791/1591 1599/1800/1599 1598/1799/1598 1590/1790/1590 -f 1592/1784/1585 1600/1793/1593 1599/1800/1599 1591/1791/1591 -f 1593/1792/1592 1601/1801/1600 1608/1802/1601 1600/1793/1593 -f 1594/1794/1594 1602/1803/1602 1601/1804/1600 1593/1795/1592 -f 1595/1796/1595 1603/1805/1603 1602/1803/1602 1594/1794/1594 -f 1596/1797/1596 1604/1806/1604 1603/1805/1603 1595/1796/1595 -f 1597/1798/1597 1605/1807/1605 1604/1806/1604 1596/1797/1596 -f 1598/1799/1598 1606/1808/1606 1605/1807/1605 1597/1798/1597 -f 1599/1800/1599 1607/1809/1607 1606/1808/1606 1598/1799/1598 -f 1600/1793/1593 1608/1802/1601 1607/1809/1607 1599/1800/1599 -f 1609/1810/1608 1617/1811/1609 1624/1812/1610 1616/1813/1611 -f 1610/1814/1612 1618/1815/1613 1617/1816/1609 1609/1817/1608 -f 1611/1818/1614 1619/1819/1615 1618/1815/1613 1610/1814/1612 -f 1612/1820/1616 1620/1821/1617 1619/1819/1615 1611/1818/1614 -f 1613/1822/1618 1621/1823/1619 1620/1821/1617 1612/1820/1616 -f 1614/1824/1620 1622/1825/1621 1621/1823/1619 1613/1822/1618 -f 1615/1826/1622 1623/1827/1623 1622/1825/1621 1614/1824/1620 -f 1616/1813/1611 1624/1812/1610 1623/1827/1623 1615/1826/1622 -f 1617/1811/1609 1625/1828/1624 1632/1829/1625 1624/1812/1610 -f 1618/1815/1613 1626/1830/1626 1625/1831/1624 1617/1816/1609 -f 1619/1819/1615 1627/1832/1627 1626/1830/1626 1618/1815/1613 -f 1620/1821/1617 1628/1833/1628 1627/1832/1627 1619/1819/1615 -f 1621/1823/1619 1629/1834/1629 1628/1833/1628 1620/1821/1617 -f 1622/1825/1621 1630/1835/1630 1629/1834/1629 1621/1823/1619 -f 1623/1827/1623 1631/1836/1631 1630/1835/1630 1622/1825/1621 -f 1624/1812/1610 1632/1829/1625 1631/1836/1631 1623/1827/1623 -f 1625/1828/1624 1633/1837/1632 1640/1838/1633 1632/1829/1625 -f 1626/1830/1626 1634/1839/1634 1633/1840/1632 1625/1831/1624 -f 1627/1832/1627 1635/1841/1635 1634/1839/1634 1626/1830/1626 -f 1628/1833/1628 1636/1842/1636 1635/1841/1635 1627/1832/1627 -f 1629/1834/1629 1637/1843/1637 1636/1842/1636 1628/1833/1628 -f 1630/1835/1630 1638/1844/1638 1637/1843/1637 1629/1834/1629 -f 1631/1836/1631 1639/1845/1639 1638/1844/1638 1630/1835/1630 -f 1632/1829/1625 1640/1838/1633 1639/1845/1639 1631/1836/1631 -f 1633/1837/1632 1641/1846/1640 1648/1847/1641 1640/1838/1633 -f 1634/1839/1634 1642/1848/1642 1641/1849/1640 1633/1840/1632 -f 1635/1841/1635 1643/1850/1643 1642/1848/1642 1634/1839/1634 -f 1636/1842/1636 1644/1851/1644 1643/1850/1643 1635/1841/1635 -f 1637/1843/1637 1645/1852/1645 1644/1851/1644 1636/1842/1636 -f 1638/1844/1638 1646/1853/1646 1645/1852/1645 1637/1843/1637 -f 1639/1845/1639 1647/1854/1647 1646/1853/1646 1638/1844/1638 -f 1640/1838/1633 1648/1847/1641 1647/1854/1647 1639/1845/1639 -f 1641/1846/1640 1649/1855/1648 1656/1856/1649 1648/1847/1641 -f 1642/1848/1642 1650/1857/1650 1649/1858/1648 1641/1849/1640 -f 1643/1850/1643 1651/1859/1651 1650/1857/1650 1642/1848/1642 -f 1644/1851/1644 1652/1860/1652 1651/1859/1651 1643/1850/1643 -f 1645/1852/1645 1653/1861/1653 1652/1860/1652 1644/1851/1644 -f 1646/1853/1646 1654/1862/1654 1653/1861/1653 1645/1852/1645 -f 1647/1854/1647 1655/1863/1655 1654/1862/1654 1646/1853/1646 -f 1648/1847/1641 1656/1856/1649 1655/1863/1655 1647/1854/1647 -f 1649/1855/1648 1657/1864/1656 1664/1865/1657 1656/1856/1649 -f 1650/1857/1650 1658/1866/1658 1657/1867/1656 1649/1858/1648 -f 1651/1859/1651 1659/1868/1659 1658/1866/1658 1650/1857/1650 -f 1652/1860/1652 1660/1869/1660 1659/1868/1659 1651/1859/1651 -f 1653/1861/1653 1661/1870/1661 1660/1869/1660 1652/1860/1652 -f 1654/1862/1654 1662/1871/1662 1661/1870/1661 1653/1861/1653 -f 1655/1863/1655 1663/1872/1663 1662/1871/1662 1654/1862/1654 -f 1656/1856/1649 1664/1865/1657 1663/1872/1663 1655/1863/1655 -f 1657/1864/1656 1665/1873/1664 1672/1874/1665 1664/1865/1657 -f 1658/1866/1658 1666/1875/1666 1665/1876/1664 1657/1867/1656 -f 1659/1868/1659 1667/1877/1667 1666/1875/1666 1658/1866/1658 -f 1660/1869/1660 1668/1878/1668 1667/1877/1667 1659/1868/1659 -f 1661/1870/1661 1669/1879/1669 1668/1878/1668 1660/1869/1660 -f 1662/1871/1662 1670/1880/1670 1669/1879/1669 1661/1870/1661 -f 1663/1872/1663 1671/1881/1671 1670/1880/1670 1662/1871/1662 -f 1664/1865/1657 1672/1874/1665 1671/1881/1671 1663/1872/1663 -f 1665/1873/1664 1673/1882/1672 1680/1883/1673 1672/1874/1665 -f 1666/1875/1666 1674/1884/1674 1673/1885/1672 1665/1876/1664 -f 1667/1877/1667 1675/1886/1675 1674/1884/1674 1666/1875/1666 -f 1668/1878/1668 1676/1887/1676 1675/1886/1675 1667/1877/1667 -f 1669/1879/1669 1677/1888/1677 1676/1887/1676 1668/1878/1668 -f 1670/1880/1670 1678/1889/1678 1677/1888/1677 1669/1879/1669 -f 1671/1881/1671 1679/1890/1679 1678/1889/1678 1670/1880/1670 -f 1672/1874/1665 1680/1883/1673 1679/1890/1679 1671/1881/1671 -f 1673/1882/1672 1681/1891/1680 1688/1892/1681 1680/1883/1673 -f 1674/1884/1674 1682/1893/1682 1681/1894/1680 1673/1885/1672 -f 1675/1886/1675 1683/1895/1683 1682/1893/1682 1674/1884/1674 -f 1676/1887/1676 1684/1896/1684 1683/1895/1683 1675/1886/1675 -f 1677/1888/1677 1685/1897/1685 1684/1896/1684 1676/1887/1676 -f 1678/1889/1678 1686/1898/1686 1685/1897/1685 1677/1888/1677 -f 1679/1890/1679 1687/1899/1687 1686/1898/1686 1678/1889/1678 -f 1680/1883/1673 1688/1892/1681 1687/1899/1687 1679/1890/1679 -f 1681/1891/1680 1689/1900/1688 1696/1901/1689 1688/1892/1681 -f 1682/1893/1682 1690/1902/1690 1689/1903/1688 1681/1894/1680 -f 1683/1895/1683 1691/1904/1691 1690/1902/1690 1682/1893/1682 -f 1684/1896/1684 1692/1905/1692 1691/1904/1691 1683/1895/1683 -f 1685/1897/1685 1693/1906/1693 1692/1905/1692 1684/1896/1684 -f 1686/1898/1686 1694/1907/1694 1693/1906/1693 1685/1897/1685 -f 1687/1899/1687 1695/1908/1695 1694/1907/1694 1686/1898/1686 -f 1688/1892/1681 1696/1901/1689 1695/1908/1695 1687/1899/1687 -f 1689/1900/1688 1697/1909/1696 1704/1910/1697 1696/1901/1689 -f 1690/1902/1690 1698/1911/1698 1697/1912/1696 1689/1903/1688 -f 1691/1904/1691 1699/1913/1699 1698/1911/1698 1690/1902/1690 -f 1692/1905/1692 1700/1914/1700 1699/1913/1699 1691/1904/1691 -f 1693/1906/1693 1701/1915/1701 1700/1914/1700 1692/1905/1692 -f 1694/1907/1694 1702/1916/1702 1701/1915/1701 1693/1906/1693 -f 1695/1908/1695 1703/1917/1703 1702/1916/1702 1694/1907/1694 -f 1696/1901/1689 1704/1910/1697 1703/1917/1703 1695/1908/1695 -f 1697/1909/1696 1705/1918/1704 1712/1919/1705 1704/1910/1697 -f 1698/1911/1698 1706/1920/1706 1705/1921/1704 1697/1912/1696 -f 1699/1913/1699 1707/1922/1707 1706/1920/1706 1698/1911/1698 -f 1700/1914/1700 1708/1923/1708 1707/1922/1707 1699/1913/1699 -f 1701/1915/1701 1709/1924/1709 1708/1923/1708 1700/1914/1700 -f 1702/1916/1702 1710/1925/1710 1709/1924/1709 1701/1915/1701 -f 1703/1917/1703 1711/1926/1711 1710/1925/1710 1702/1916/1702 -f 1704/1910/1697 1712/1919/1705 1711/1926/1711 1703/1917/1703 -f 1705/1918/1704 1713/1927/1712 1720/1928/1713 1712/1919/1705 -f 1706/1920/1706 1714/1929/1714 1713/1930/1712 1705/1921/1704 -f 1707/1922/1707 1715/1931/1715 1714/1929/1714 1706/1920/1706 -f 1708/1923/1708 1716/1932/1716 1715/1931/1715 1707/1922/1707 -f 1709/1924/1709 1717/1933/1717 1716/1932/1716 1708/1923/1708 -f 1710/1925/1710 1718/1934/1718 1717/1933/1717 1709/1924/1709 -f 1711/1926/1711 1719/1935/1719 1718/1934/1718 1710/1925/1710 -f 1712/1919/1705 1720/1928/1713 1719/1935/1719 1711/1926/1711 -f 1713/1927/1712 1721/1936/1720 1728/1937/1721 1720/1928/1713 -f 1714/1929/1714 1722/1938/1722 1721/1939/1720 1713/1930/1712 -f 1715/1931/1715 1723/1940/1723 1722/1938/1722 1714/1929/1714 -f 1716/1932/1716 1724/1941/1724 1723/1940/1723 1715/1931/1715 -f 1717/1933/1717 1725/1942/1725 1724/1941/1724 1716/1932/1716 -f 1718/1934/1718 1726/1943/1726 1725/1942/1725 1717/1933/1717 -f 1719/1935/1719 1727/1944/1727 1726/1943/1726 1718/1934/1718 -f 1720/1928/1713 1728/1937/1721 1727/1944/1727 1719/1935/1719 -f 1721/1936/1720 1729/1945/1728 1736/1946/1729 1728/1937/1721 -f 1722/1938/1722 1730/1947/1730 1729/1948/1728 1721/1939/1720 -f 1723/1940/1723 1731/1949/1731 1730/1947/1730 1722/1938/1722 -f 1724/1941/1724 1732/1950/1732 1731/1949/1731 1723/1940/1723 -f 1725/1942/1725 1733/1951/1733 1732/1950/1732 1724/1941/1724 -f 1726/1943/1726 1734/1952/1734 1733/1951/1733 1725/1942/1725 -f 1727/1944/1727 1735/1953/1735 1734/1952/1734 1726/1943/1726 -f 1728/1937/1721 1736/1946/1729 1735/1953/1735 1727/1944/1727 -f 1737/1954/1736 1745/1955/1737 1752/1956/1738 1744/1957/1739 -f 1738/1958/1740 1746/1959/1741 1745/1960/1737 1737/1961/1736 -f 1739/1962/1742 1747/1963/1743 1746/1959/1741 1738/1958/1740 -f 1740/1964/1744 1748/1965/1745 1747/1963/1743 1739/1962/1742 -f 1741/1966/1746 1749/1967/1747 1748/1965/1745 1740/1964/1744 -f 1742/1968/1748 1750/1969/1749 1749/1967/1747 1741/1966/1746 -f 1743/1970/1750 1751/1971/1751 1750/1969/1749 1742/1968/1748 -f 1744/1957/1739 1752/1956/1738 1751/1971/1751 1743/1970/1750 -f 1745/1955/1737 1753/1972/1752 1760/1973/1753 1752/1956/1738 -f 1746/1959/1741 1754/1974/1754 1753/1975/1752 1745/1960/1737 -f 1747/1963/1743 1755/1976/1755 1754/1974/1754 1746/1959/1741 -f 1748/1965/1745 1756/1977/1756 1755/1976/1755 1747/1963/1743 -f 1749/1967/1747 1757/1978/1757 1756/1977/1756 1748/1965/1745 -f 1750/1969/1749 1758/1979/1758 1757/1978/1757 1749/1967/1747 -f 1751/1971/1751 1759/1980/1759 1758/1979/1758 1750/1969/1749 -f 1752/1956/1738 1760/1973/1753 1759/1980/1759 1751/1971/1751 -f 1753/1972/1752 1761/1981/1760 1768/1982/1761 1760/1973/1753 -f 1754/1974/1754 1762/1983/1762 1761/1984/1760 1753/1975/1752 -f 1755/1976/1755 1763/1985/1763 1762/1983/1762 1754/1974/1754 -f 1756/1977/1756 1764/1986/1764 1763/1985/1763 1755/1976/1755 -f 1757/1978/1757 1765/1987/1765 1764/1986/1764 1756/1977/1756 -f 1758/1979/1758 1766/1988/1766 1765/1987/1765 1757/1978/1757 -f 1759/1980/1759 1767/1989/1767 1766/1988/1766 1758/1979/1758 -f 1760/1973/1753 1768/1982/1761 1767/1989/1767 1759/1980/1759 -f 1761/1981/1760 1769/1990/1768 1776/1991/1769 1768/1982/1761 -f 1762/1983/1762 1770/1992/1770 1769/1993/1768 1761/1984/1760 -f 1763/1985/1763 1771/1994/1771 1770/1992/1770 1762/1983/1762 -f 1764/1986/1764 1772/1995/1772 1771/1994/1771 1763/1985/1763 -f 1765/1987/1765 1773/1996/1773 1772/1995/1772 1764/1986/1764 -f 1766/1988/1766 1774/1997/1774 1773/1996/1773 1765/1987/1765 -f 1767/1989/1767 1775/1998/1775 1774/1997/1774 1766/1988/1766 -f 1768/1982/1761 1776/1991/1769 1775/1998/1775 1767/1989/1767 -f 1769/1990/1768 1777/1999/1776 1784/2000/1777 1776/1991/1769 -f 1770/1992/1770 1778/2001/1778 1777/2002/1776 1769/1993/1768 -f 1771/1994/1771 1779/2003/1779 1778/2001/1778 1770/1992/1770 -f 1772/1995/1772 1780/2004/1780 1779/2003/1779 1771/1994/1771 -f 1773/1996/1773 1781/2005/1781 1780/2004/1780 1772/1995/1772 -f 1774/1997/1774 1782/2006/1782 1781/2005/1781 1773/1996/1773 -f 1775/1998/1775 1783/2007/1783 1782/2006/1782 1774/1997/1774 -f 1776/1991/1769 1784/2000/1777 1783/2007/1783 1775/1998/1775 -f 1777/1999/1776 1785/2008/1784 1792/2009/1785 1784/2000/1777 -f 1778/2001/1778 1786/2010/1786 1785/2011/1784 1777/2002/1776 -f 1779/2003/1779 1787/2012/1787 1786/2010/1786 1778/2001/1778 -f 1780/2004/1780 1788/2013/1788 1787/2012/1787 1779/2003/1779 -f 1781/2005/1781 1789/2014/1789 1788/2013/1788 1780/2004/1780 -f 1782/2006/1782 1790/2015/1790 1789/2014/1789 1781/2005/1781 -f 1783/2007/1783 1791/2016/1791 1790/2015/1790 1782/2006/1782 -f 1784/2000/1777 1792/2009/1785 1791/2016/1791 1783/2007/1783 -f 1785/2008/1784 1793/2017/1792 1800/2018/1793 1792/2009/1785 -f 1786/2010/1786 1794/2019/1794 1793/2020/1792 1785/2011/1784 -f 1787/2012/1787 1795/2021/1795 1794/2019/1794 1786/2010/1786 -f 1788/2013/1788 1796/2022/1796 1795/2021/1795 1787/2012/1787 -f 1789/2014/1789 1797/2023/1797 1796/2022/1796 1788/2013/1788 -f 1790/2015/1790 1798/2024/1798 1797/2023/1797 1789/2014/1789 -f 1791/2016/1791 1799/2025/1799 1798/2024/1798 1790/2015/1790 -f 1792/2009/1785 1800/2018/1793 1799/2025/1799 1791/2016/1791 -f 1793/2017/1792 1801/2026/1800 1808/2027/1801 1800/2018/1793 -f 1794/2019/1794 1802/2028/1802 1801/2029/1800 1793/2020/1792 -f 1795/2021/1795 1803/2030/1803 1802/2028/1802 1794/2019/1794 -f 1796/2022/1796 1804/2031/1804 1803/2030/1803 1795/2021/1795 -f 1797/2023/1797 1805/2032/1805 1804/2031/1804 1796/2022/1796 -f 1798/2024/1798 1806/2033/1806 1805/2032/1805 1797/2023/1797 -f 1799/2025/1799 1807/2034/1807 1806/2033/1806 1798/2024/1798 -f 1800/2018/1793 1808/2027/1801 1807/2034/1807 1799/2025/1799 -f 1801/2026/1800 1809/2035/1808 1816/2036/1809 1808/2027/1801 -f 1802/2028/1802 1810/2037/1810 1809/2038/1808 1801/2029/1800 -f 1803/2030/1803 1811/2039/1811 1810/2037/1810 1802/2028/1802 -f 1804/2031/1804 1812/2040/1812 1811/2039/1811 1803/2030/1803 -f 1805/2032/1805 1813/2041/1813 1812/2040/1812 1804/2031/1804 -f 1806/2033/1806 1814/2042/1814 1813/2041/1813 1805/2032/1805 -f 1807/2034/1807 1815/2043/1815 1814/2042/1814 1806/2033/1806 -f 1808/2027/1801 1816/2036/1809 1815/2043/1815 1807/2034/1807 -f 1809/2035/1808 1817/2044/1816 1824/2045/1817 1816/2036/1809 -f 1810/2037/1810 1818/2046/1818 1817/2047/1816 1809/2038/1808 -f 1811/2039/1811 1819/2048/1819 1818/2046/1818 1810/2037/1810 -f 1812/2040/1812 1820/2049/1820 1819/2048/1819 1811/2039/1811 -f 1813/2041/1813 1821/2050/1821 1820/2049/1820 1812/2040/1812 -f 1814/2042/1814 1822/2051/1822 1821/2050/1821 1813/2041/1813 -f 1815/2043/1815 1823/2052/1823 1822/2051/1822 1814/2042/1814 -f 1816/2036/1809 1824/2045/1817 1823/2052/1823 1815/2043/1815 -f 1817/2044/1816 1825/2053/1824 1832/2054/1825 1824/2045/1817 -f 1818/2046/1818 1826/2055/1826 1825/2056/1824 1817/2047/1816 -f 1819/2048/1819 1827/2057/1827 1826/2055/1826 1818/2046/1818 -f 1820/2049/1820 1828/2058/1828 1827/2057/1827 1819/2048/1819 -f 1821/2050/1821 1829/2059/1829 1828/2058/1828 1820/2049/1820 -f 1822/2051/1822 1830/2060/1830 1829/2059/1829 1821/2050/1821 -f 1823/2052/1823 1831/2061/1831 1830/2060/1830 1822/2051/1822 -f 1824/2045/1817 1832/2054/1825 1831/2061/1831 1823/2052/1823 -f 1825/2053/1824 1833/2062/1832 1840/2063/1833 1832/2054/1825 -f 1826/2055/1826 1834/2064/1834 1833/2065/1832 1825/2056/1824 -f 1827/2057/1827 1835/2066/1835 1834/2064/1834 1826/2055/1826 -f 1828/2058/1828 1836/2067/1836 1835/2066/1835 1827/2057/1827 -f 1829/2059/1829 1837/2068/1837 1836/2067/1836 1828/2058/1828 -f 1830/2060/1830 1838/2069/1838 1837/2068/1837 1829/2059/1829 -f 1831/2061/1831 1839/2070/1839 1838/2069/1838 1830/2060/1830 -f 1832/2054/1825 1840/2063/1833 1839/2070/1839 1831/2061/1831 -f 1833/2062/1832 1841/2071/1840 1848/2072/1841 1840/2063/1833 -f 1834/2064/1834 1842/2073/1842 1841/2074/1840 1833/2065/1832 -f 1835/2066/1835 1843/2075/1843 1842/2073/1842 1834/2064/1834 -f 1836/2067/1836 1844/2076/1844 1843/2075/1843 1835/2066/1835 -f 1837/2068/1837 1845/2077/1845 1844/2076/1844 1836/2067/1836 -f 1838/2069/1838 1846/2078/1846 1845/2077/1845 1837/2068/1837 -f 1839/2070/1839 1847/2079/1847 1846/2078/1846 1838/2069/1838 -f 1840/2063/1833 1848/2072/1841 1847/2079/1847 1839/2070/1839 -f 1841/2071/1840 1849/2080/1848 1856/2081/1849 1848/2072/1841 -f 1842/2073/1842 1850/2082/1850 1849/2083/1848 1841/2074/1840 -f 1843/2075/1843 1851/2084/1851 1850/2082/1850 1842/2073/1842 -f 1844/2076/1844 1852/2085/1852 1851/2084/1851 1843/2075/1843 -f 1845/2077/1845 1853/2086/1853 1852/2085/1852 1844/2076/1844 -f 1846/2078/1846 1854/2087/1854 1853/2086/1853 1845/2077/1845 -f 1847/2079/1847 1855/2088/1855 1854/2087/1854 1846/2078/1846 -f 1848/2072/1841 1856/2081/1849 1855/2088/1855 1847/2079/1847 -f 1849/2080/1848 1857/2089/1856 1864/2090/1857 1856/2081/1849 -f 1850/2082/1850 1858/2091/1858 1857/2092/1856 1849/2083/1848 -f 1851/2084/1851 1859/2093/1859 1858/2091/1858 1850/2082/1850 -f 1852/2085/1852 1860/2094/1860 1859/2093/1859 1851/2084/1851 -f 1853/2086/1853 1861/2095/1861 1860/2094/1860 1852/2085/1852 -f 1854/2087/1854 1862/2096/1862 1861/2095/1861 1853/2086/1853 -f 1855/2088/1855 1863/2097/1863 1862/2096/1862 1854/2087/1854 -f 1856/2081/1849 1864/2090/1857 1863/2097/1863 1855/2088/1855 -f 1865/2098/1864 1873/2099/1865 1880/2100/1866 1872/2101/1867 -f 1866/2102/1868 1874/2103/1869 1873/2104/1865 1865/2105/1864 -f 1867/2106/1870 1875/2107/1871 1874/2103/1869 1866/2102/1868 -f 1868/2108/1872 1876/2109/1873 1875/2107/1871 1867/2106/1870 -f 1869/2110/1874 1877/2111/1875 1876/2109/1873 1868/2108/1872 -f 1870/2112/1876 1878/2113/1877 1877/2111/1875 1869/2110/1874 -f 1871/2114/1878 1879/2115/1879 1878/2113/1877 1870/2112/1876 -f 1872/2101/1867 1880/2100/1866 1879/2115/1879 1871/2114/1878 -f 1873/2099/1865 1881/2116/1880 1888/2117/1881 1880/2100/1866 -f 1874/2103/1869 1882/2118/1882 1881/2119/1880 1873/2104/1865 -f 1875/2107/1871 1883/2120/1883 1882/2118/1882 1874/2103/1869 -f 1876/2109/1873 1884/2121/1884 1883/2120/1883 1875/2107/1871 -f 1877/2111/1875 1885/2122/1885 1884/2121/1884 1876/2109/1873 -f 1878/2113/1877 1886/2123/1886 1885/2122/1885 1877/2111/1875 -f 1879/2115/1879 1887/2124/1887 1886/2123/1886 1878/2113/1877 -f 1880/2100/1866 1888/2117/1881 1887/2124/1887 1879/2115/1879 -f 1881/2116/1880 1889/2125/1888 1896/2126/1889 1888/2117/1881 -f 1882/2118/1882 1890/2127/1890 1889/2128/1888 1881/2119/1880 -f 1883/2120/1883 1891/2129/1891 1890/2127/1890 1882/2118/1882 -f 1884/2121/1884 1892/2130/1892 1891/2129/1891 1883/2120/1883 -f 1885/2122/1885 1893/2131/1893 1892/2130/1892 1884/2121/1884 -f 1886/2123/1886 1894/2132/1894 1893/2131/1893 1885/2122/1885 -f 1887/2124/1887 1895/2133/1895 1894/2132/1894 1886/2123/1886 -f 1888/2117/1881 1896/2126/1889 1895/2133/1895 1887/2124/1887 -f 1889/2125/1888 1897/2134/1896 1904/2135/1897 1896/2126/1889 -f 1890/2127/1890 1898/2136/1898 1897/2137/1896 1889/2128/1888 -f 1891/2129/1891 1899/2138/1899 1898/2136/1898 1890/2127/1890 -f 1892/2130/1892 1900/2139/1900 1899/2138/1899 1891/2129/1891 -f 1893/2131/1893 1901/2140/1901 1900/2139/1900 1892/2130/1892 -f 1894/2132/1894 1902/2141/1902 1901/2140/1901 1893/2131/1893 -f 1895/2133/1895 1903/2142/1903 1902/2141/1902 1894/2132/1894 -f 1896/2126/1889 1904/2135/1897 1903/2142/1903 1895/2133/1895 -f 1897/2134/1896 1905/2143/1904 1912/2144/1905 1904/2135/1897 -f 1898/2136/1898 1906/2145/1906 1905/2146/1904 1897/2137/1896 -f 1899/2138/1899 1907/2147/1907 1906/2145/1906 1898/2136/1898 -f 1900/2139/1900 1908/2148/1908 1907/2147/1907 1899/2138/1899 -f 1901/2140/1901 1909/2149/1909 1908/2148/1908 1900/2139/1900 -f 1902/2141/1902 1910/2150/1910 1909/2149/1909 1901/2140/1901 -f 1903/2142/1903 1911/2151/1911 1910/2150/1910 1902/2141/1902 -f 1904/2135/1897 1912/2144/1905 1911/2151/1911 1903/2142/1903 -f 1905/2143/1904 1913/2152/1912 1920/2153/1913 1912/2144/1905 -f 1906/2145/1906 1914/2154/1914 1913/2155/1912 1905/2146/1904 -f 1907/2147/1907 1915/2156/1915 1914/2154/1914 1906/2145/1906 -f 1908/2148/1908 1916/2157/1916 1915/2156/1915 1907/2147/1907 -f 1909/2149/1909 1917/2158/1917 1916/2157/1916 1908/2148/1908 -f 1910/2150/1910 1918/2159/1918 1917/2158/1917 1909/2149/1909 -f 1911/2151/1911 1919/2160/1919 1918/2159/1918 1910/2150/1910 -f 1912/2144/1905 1920/2153/1913 1919/2160/1919 1911/2151/1911 -f 1913/2152/1912 1921/2161/1920 1928/2162/1921 1920/2153/1913 -f 1914/2154/1914 1922/2163/1922 1921/2164/1920 1913/2155/1912 -f 1915/2156/1915 1923/2165/1923 1922/2163/1922 1914/2154/1914 -f 1916/2157/1916 1924/2166/1924 1923/2165/1923 1915/2156/1915 -f 1917/2158/1917 1925/2167/1925 1924/2166/1924 1916/2157/1916 -f 1918/2159/1918 1926/2168/1926 1925/2167/1925 1917/2158/1917 -f 1919/2160/1919 1927/2169/1927 1926/2168/1926 1918/2159/1918 -f 1920/2153/1913 1928/2162/1921 1927/2169/1927 1919/2160/1919 -f 1921/2161/1920 1929/2170/1928 1936/2171/1929 1928/2162/1921 -f 1922/2163/1922 1930/2172/1930 1929/2173/1928 1921/2164/1920 -f 1923/2165/1923 1931/2174/1931 1930/2172/1930 1922/2163/1922 -f 1924/2166/1924 1932/2175/1932 1931/2174/1931 1923/2165/1923 -f 1925/2167/1925 1933/2176/1933 1932/2175/1932 1924/2166/1924 -f 1926/2168/1926 1934/2177/1934 1933/2176/1933 1925/2167/1925 -f 1927/2169/1927 1935/2178/1935 1934/2177/1934 1926/2168/1926 -f 1928/2162/1921 1936/2171/1929 1935/2178/1935 1927/2169/1927 -f 1929/2170/1928 1937/2179/1936 1944/2180/1937 1936/2171/1929 -f 1930/2172/1930 1938/2181/1938 1937/2182/1936 1929/2173/1928 -f 1931/2174/1931 1939/2183/1939 1938/2181/1938 1930/2172/1930 -f 1932/2175/1932 1940/2184/1940 1939/2183/1939 1931/2174/1931 -f 1933/2176/1933 1941/2185/1941 1940/2184/1940 1932/2175/1932 -f 1934/2177/1934 1942/2186/1942 1941/2185/1941 1933/2176/1933 -f 1935/2178/1935 1943/2187/1943 1942/2186/1942 1934/2177/1934 -f 1936/2171/1929 1944/2180/1937 1943/2187/1943 1935/2178/1935 -f 1937/2179/1936 1945/2188/1944 1952/2189/1945 1944/2180/1937 -f 1938/2181/1938 1946/2190/1946 1945/2191/1944 1937/2182/1936 -f 1939/2183/1939 1947/2192/1947 1946/2190/1946 1938/2181/1938 -f 1940/2184/1940 1948/2193/1948 1947/2192/1947 1939/2183/1939 -f 1941/2185/1941 1949/2194/1949 1948/2193/1948 1940/2184/1940 -f 1942/2186/1942 1950/2195/1950 1949/2194/1949 1941/2185/1941 -f 1943/2187/1943 1951/2196/1951 1950/2195/1950 1942/2186/1942 -f 1944/2180/1937 1952/2189/1945 1951/2196/1951 1943/2187/1943 -f 1945/2188/1944 1953/2197/1952 1960/2198/1953 1952/2189/1945 -f 1946/2190/1946 1954/2199/1954 1953/2200/1952 1945/2191/1944 -f 1947/2192/1947 1955/2201/1955 1954/2199/1954 1946/2190/1946 -f 1948/2193/1948 1956/2202/1956 1955/2201/1955 1947/2192/1947 -f 1949/2194/1949 1957/2203/1957 1956/2202/1956 1948/2193/1948 -f 1950/2195/1950 1958/2204/1958 1957/2203/1957 1949/2194/1949 -f 1951/2196/1951 1959/2205/1959 1958/2204/1958 1950/2195/1950 -f 1952/2189/1945 1960/2198/1953 1959/2205/1959 1951/2196/1951 -f 1953/2197/1952 1961/2206/1960 1968/2207/1961 1960/2198/1953 -f 1954/2199/1954 1962/2208/1962 1961/2209/1960 1953/2200/1952 -f 1955/2201/1955 1963/2210/1963 1962/2208/1962 1954/2199/1954 -f 1956/2202/1956 1964/2211/1964 1963/2210/1963 1955/2201/1955 -f 1957/2203/1957 1965/2212/1965 1964/2211/1964 1956/2202/1956 -f 1958/2204/1958 1966/2213/1966 1965/2212/1965 1957/2203/1957 -f 1959/2205/1959 1967/2214/1967 1966/2213/1966 1958/2204/1958 -f 1960/2198/1953 1968/2207/1961 1967/2214/1967 1959/2205/1959 -f 1961/2206/1960 1969/2215/1968 1976/2216/1969 1968/2207/1961 -f 1962/2208/1962 1970/2217/1970 1969/2218/1968 1961/2209/1960 -f 1963/2210/1963 1971/2219/1971 1970/2217/1970 1962/2208/1962 -f 1964/2211/1964 1972/2220/1972 1971/2219/1971 1963/2210/1963 -f 1965/2212/1965 1973/2221/1973 1972/2220/1972 1964/2211/1964 -f 1966/2213/1966 1974/2222/1974 1973/2221/1973 1965/2212/1965 -f 1967/2214/1967 1975/2223/1975 1974/2222/1974 1966/2213/1966 -f 1968/2207/1961 1976/2216/1969 1975/2223/1975 1967/2214/1967 -f 1969/2215/1968 1977/2224/1976 1984/2225/1977 1976/2216/1969 -f 1970/2217/1970 1978/2226/1978 1977/2227/1976 1969/2218/1968 -f 1971/2219/1971 1979/2228/1979 1978/2226/1978 1970/2217/1970 -f 1972/2220/1972 1980/2229/1980 1979/2228/1979 1971/2219/1971 -f 1973/2221/1973 1981/2230/1981 1980/2229/1980 1972/2220/1972 -f 1974/2222/1974 1982/2231/1982 1981/2230/1981 1973/2221/1973 -f 1975/2223/1975 1983/2232/1983 1982/2231/1982 1974/2222/1974 -f 1976/2216/1969 1984/2225/1977 1983/2232/1983 1975/2223/1975 -f 1977/2224/1976 1985/2233/1984 1992/2234/1985 1984/2225/1977 -f 1978/2226/1978 1986/2235/1986 1985/2236/1984 1977/2227/1976 -f 1979/2228/1979 1987/2237/1987 1986/2235/1986 1978/2226/1978 -f 1980/2229/1980 1988/2238/1988 1987/2237/1987 1979/2228/1979 -f 1981/2230/1981 1989/2239/1989 1988/2238/1988 1980/2229/1980 -f 1982/2231/1982 1990/2240/1990 1989/2239/1989 1981/2230/1981 -f 1983/2232/1983 1991/2241/1991 1990/2240/1990 1982/2231/1982 -f 1984/2225/1977 1992/2234/1985 1991/2241/1991 1983/2232/1983 -f 1993/2242/1992 2001/2243/1993 2008/2244/1994 2000/2245/1995 -f 1994/2246/1996 2002/2247/1997 2001/2248/1993 1993/2249/1992 -f 1995/2250/1998 2003/2251/1999 2002/2247/1997 1994/2246/1996 -f 1996/2252/2000 2004/2253/2001 2003/2251/1999 1995/2250/1998 -f 1997/2254/2002 2005/2255/2003 2004/2253/2001 1996/2252/2000 -f 1998/2256/2004 2006/2257/2005 2005/2255/2003 1997/2254/2002 -f 1999/2258/2006 2007/2259/2007 2006/2257/2005 1998/2256/2004 -f 2000/2245/1995 2008/2244/1994 2007/2259/2007 1999/2258/2006 -f 2001/2243/1993 2009/2260/2008 2016/2261/2009 2008/2244/1994 -f 2002/2247/1997 2010/2262/2010 2009/2263/2008 2001/2248/1993 -f 2003/2251/1999 2011/2264/2011 2010/2262/2010 2002/2247/1997 -f 2004/2253/2001 2012/2265/2012 2011/2264/2011 2003/2251/1999 -f 2005/2255/2003 2013/2266/2013 2012/2265/2012 2004/2253/2001 -f 2006/2257/2005 2014/2267/2014 2013/2266/2013 2005/2255/2003 -f 2007/2259/2007 2015/2268/2015 2014/2267/2014 2006/2257/2005 -f 2008/2244/1994 2016/2261/2009 2015/2268/2015 2007/2259/2007 -f 2009/2260/2008 2017/2269/2016 2024/2270/2017 2016/2261/2009 -f 2010/2262/2010 2018/2271/2018 2017/2272/2016 2009/2263/2008 -f 2011/2264/2011 2019/2273/2019 2018/2271/2018 2010/2262/2010 -f 2012/2265/2012 2020/2274/2020 2019/2273/2019 2011/2264/2011 -f 2013/2266/2013 2021/2275/2021 2020/2274/2020 2012/2265/2012 -f 2014/2267/2014 2022/2276/2022 2021/2275/2021 2013/2266/2013 -f 2015/2268/2015 2023/2277/2023 2022/2276/2022 2014/2267/2014 -f 2016/2261/2009 2024/2270/2017 2023/2277/2023 2015/2268/2015 -f 2017/2269/2016 2025/2278/2024 2032/2279/2025 2024/2270/2017 -f 2018/2271/2018 2026/2280/2026 2025/2281/2024 2017/2272/2016 -f 2019/2273/2019 2027/2282/2027 2026/2280/2026 2018/2271/2018 -f 2020/2274/2020 2028/2283/2028 2027/2282/2027 2019/2273/2019 -f 2021/2275/2021 2029/2284/2029 2028/2283/2028 2020/2274/2020 -f 2022/2276/2022 2030/2285/2030 2029/2284/2029 2021/2275/2021 -f 2023/2277/2023 2031/2286/2031 2030/2285/2030 2022/2276/2022 -f 2024/2270/2017 2032/2279/2025 2031/2286/2031 2023/2277/2023 -f 2025/2278/2024 2033/2287/2032 2040/2288/2033 2032/2279/2025 -f 2026/2280/2026 2034/2289/2034 2033/2290/2032 2025/2281/2024 -f 2027/2282/2027 2035/2291/2035 2034/2289/2034 2026/2280/2026 -f 2028/2283/2028 2036/2292/2036 2035/2291/2035 2027/2282/2027 -f 2029/2284/2029 2037/2293/2037 2036/2292/2036 2028/2283/2028 -f 2030/2285/2030 2038/2294/2038 2037/2293/2037 2029/2284/2029 -f 2031/2286/2031 2039/2295/2039 2038/2294/2038 2030/2285/2030 -f 2032/2279/2025 2040/2288/2033 2039/2295/2039 2031/2286/2031 -f 2033/2287/2032 2041/2296/2040 2048/2297/2041 2040/2288/2033 -f 2034/2289/2034 2042/2298/2042 2041/2299/2040 2033/2290/2032 -f 2035/2291/2035 2043/2300/2043 2042/2298/2042 2034/2289/2034 -f 2036/2292/2036 2044/2301/2044 2043/2300/2043 2035/2291/2035 -f 2037/2293/2037 2045/2302/2045 2044/2301/2044 2036/2292/2036 -f 2038/2294/2038 2046/2303/2046 2045/2302/2045 2037/2293/2037 -f 2039/2295/2039 2047/2304/2047 2046/2303/2046 2038/2294/2038 -f 2040/2288/2033 2048/2297/2041 2047/2304/2047 2039/2295/2039 -f 2041/2296/2040 2049/2305/2048 2056/2306/2049 2048/2297/2041 -f 2042/2298/2042 2050/2307/2050 2049/2308/2048 2041/2299/2040 -f 2043/2300/2043 2051/2309/2051 2050/2307/2050 2042/2298/2042 -f 2044/2301/2044 2052/2310/2052 2051/2309/2051 2043/2300/2043 -f 2045/2302/2045 2053/2311/2053 2052/2310/2052 2044/2301/2044 -f 2046/2303/2046 2054/2312/2054 2053/2311/2053 2045/2302/2045 -f 2047/2304/2047 2055/2313/2055 2054/2312/2054 2046/2303/2046 -f 2048/2297/2041 2056/2306/2049 2055/2313/2055 2047/2304/2047 -f 2049/2305/2048 2057/2314/2056 2064/2315/2057 2056/2306/2049 -f 2050/2307/2050 2058/2316/2058 2057/2317/2056 2049/2308/2048 -f 2051/2309/2051 2059/2318/2059 2058/2316/2058 2050/2307/2050 -f 2052/2310/2052 2060/2319/2060 2059/2318/2059 2051/2309/2051 -f 2053/2311/2053 2061/2320/2061 2060/2319/2060 2052/2310/2052 -f 2054/2312/2054 2062/2321/2062 2061/2320/2061 2053/2311/2053 -f 2055/2313/2055 2063/2322/2063 2062/2321/2062 2054/2312/2054 -f 2056/2306/2049 2064/2315/2057 2063/2322/2063 2055/2313/2055 -f 2057/2314/2056 2065/2323/2064 2072/2324/2065 2064/2315/2057 -f 2058/2316/2058 2066/2325/2066 2065/2326/2064 2057/2317/2056 -f 2059/2318/2059 2067/2327/2067 2066/2325/2066 2058/2316/2058 -f 2060/2319/2060 2068/2328/2068 2067/2327/2067 2059/2318/2059 -f 2061/2320/2061 2069/2329/2069 2068/2328/2068 2060/2319/2060 -f 2062/2321/2062 2070/2330/2070 2069/2329/2069 2061/2320/2061 -f 2063/2322/2063 2071/2331/2071 2070/2330/2070 2062/2321/2062 -f 2064/2315/2057 2072/2324/2065 2071/2331/2071 2063/2322/2063 -f 2065/2323/2064 2073/2332/2072 2080/2333/2073 2072/2324/2065 -f 2066/2325/2066 2074/2334/2074 2073/2335/2072 2065/2326/2064 -f 2067/2327/2067 2075/2336/2075 2074/2334/2074 2066/2325/2066 -f 2068/2328/2068 2076/2337/2076 2075/2336/2075 2067/2327/2067 -f 2069/2329/2069 2077/2338/2077 2076/2337/2076 2068/2328/2068 -f 2070/2330/2070 2078/2339/2078 2077/2338/2077 2069/2329/2069 -f 2071/2331/2071 2079/2340/2079 2078/2339/2078 2070/2330/2070 -f 2072/2324/2065 2080/2333/2073 2079/2340/2079 2071/2331/2071 -f 2073/2332/2072 2081/2341/2080 2088/2342/2081 2080/2333/2073 -f 2074/2334/2074 2082/2343/2082 2081/2344/2080 2073/2335/2072 -f 2075/2336/2075 2083/2345/2083 2082/2343/2082 2074/2334/2074 -f 2076/2337/2076 2084/2346/2084 2083/2345/2083 2075/2336/2075 -f 2077/2338/2077 2085/2347/2085 2084/2346/2084 2076/2337/2076 -f 2078/2339/2078 2086/2348/2086 2085/2347/2085 2077/2338/2077 -f 2079/2340/2079 2087/2349/2087 2086/2348/2086 2078/2339/2078 -f 2080/2333/2073 2088/2342/2081 2087/2349/2087 2079/2340/2079 -f 2081/2341/2080 2089/2350/2088 2096/2351/2089 2088/2342/2081 -f 2082/2343/2082 2090/2352/2090 2089/2353/2088 2081/2344/2080 -f 2083/2345/2083 2091/2354/2091 2090/2352/2090 2082/2343/2082 -f 2084/2346/2084 2092/2355/2092 2091/2354/2091 2083/2345/2083 -f 2085/2347/2085 2093/2356/2093 2092/2355/2092 2084/2346/2084 -f 2086/2348/2086 2094/2357/2094 2093/2356/2093 2085/2347/2085 -f 2087/2349/2087 2095/2358/2095 2094/2357/2094 2086/2348/2086 -f 2088/2342/2081 2096/2351/2089 2095/2358/2095 2087/2349/2087 -f 2089/2350/2088 2097/2359/2096 2104/2360/2097 2096/2351/2089 -f 2090/2352/2090 2098/2361/2098 2097/2362/2096 2089/2353/2088 -f 2091/2354/2091 2099/2363/2099 2098/2361/2098 2090/2352/2090 -f 2092/2355/2092 2100/2364/2100 2099/2363/2099 2091/2354/2091 -f 2093/2356/2093 2101/2365/2101 2100/2364/2100 2092/2355/2092 -f 2094/2357/2094 2102/2366/2102 2101/2365/2101 2093/2356/2093 -f 2095/2358/2095 2103/2367/2103 2102/2366/2102 2094/2357/2094 -f 2096/2351/2089 2104/2360/2097 2103/2367/2103 2095/2358/2095 -f 2097/2359/2096 2105/2368/2104 2112/2369/2105 2104/2360/2097 -f 2098/2361/2098 2106/2370/2106 2105/2371/2104 2097/2362/2096 -f 2099/2363/2099 2107/2372/2107 2106/2370/2106 2098/2361/2098 -f 2100/2364/2100 2108/2373/2108 2107/2372/2107 2099/2363/2099 -f 2101/2365/2101 2109/2374/2109 2108/2373/2108 2100/2364/2100 -f 2102/2366/2102 2110/2375/2110 2109/2374/2109 2101/2365/2101 -f 2103/2367/2103 2111/2376/2111 2110/2375/2110 2102/2366/2102 -f 2104/2360/2097 2112/2369/2105 2111/2376/2111 2103/2367/2103 -f 2105/2368/2104 2113/2377/2112 2120/2378/2113 2112/2369/2105 -f 2106/2370/2106 2114/2379/2114 2113/2380/2112 2105/2371/2104 -f 2107/2372/2107 2115/2381/2115 2114/2379/2114 2106/2370/2106 -f 2108/2373/2108 2116/2382/2116 2115/2381/2115 2107/2372/2107 -f 2109/2374/2109 2117/2383/2117 2116/2382/2116 2108/2373/2108 -f 2110/2375/2110 2118/2384/2118 2117/2383/2117 2109/2374/2109 -f 2111/2376/2111 2119/2385/2119 2118/2384/2118 2110/2375/2110 -f 2112/2369/2105 2120/2378/2113 2119/2385/2119 2111/2376/2111 -f 2121/2386/2120 2129/2387/2121 2136/2388/2122 2128/2389/2123 -f 2122/2390/2124 2130/2391/2125 2129/2392/2121 2121/2393/2120 -f 2123/2394/2126 2131/2395/2127 2130/2391/2125 2122/2390/2124 -f 2124/2396/2128 2132/2397/2129 2131/2395/2127 2123/2394/2126 -f 2125/2398/2130 2133/2399/2131 2132/2397/2129 2124/2396/2128 -f 2126/2400/2132 2134/2401/2133 2133/2399/2131 2125/2398/2130 -f 2127/2402/2134 2135/2403/2135 2134/2401/2133 2126/2400/2132 -f 2128/2389/2123 2136/2388/2122 2135/2403/2135 2127/2402/2134 -f 2129/2387/2121 2137/2404/2136 2144/2405/2137 2136/2388/2122 -f 2130/2391/2125 2138/2406/2138 2137/2407/2136 2129/2392/2121 -f 2131/2395/2127 2139/2408/2139 2138/2406/2138 2130/2391/2125 -f 2132/2397/2129 2140/2409/2140 2139/2408/2139 2131/2395/2127 -f 2133/2399/2131 2141/2410/2141 2140/2409/2140 2132/2397/2129 -f 2134/2401/2133 2142/2411/2142 2141/2410/2141 2133/2399/2131 -f 2135/2403/2135 2143/2412/2143 2142/2411/2142 2134/2401/2133 -f 2136/2388/2122 2144/2405/2137 2143/2412/2143 2135/2403/2135 -f 2137/2404/2136 2145/2413/2144 2152/2414/2145 2144/2405/2137 -f 2138/2406/2138 2146/2415/2146 2145/2416/2144 2137/2407/2136 -f 2139/2408/2139 2147/2417/2147 2146/2415/2146 2138/2406/2138 -f 2140/2409/2140 2148/2418/2148 2147/2417/2147 2139/2408/2139 -f 2141/2410/2141 2149/2419/2149 2148/2418/2148 2140/2409/2140 -f 2142/2411/2142 2150/2420/2150 2149/2419/2149 2141/2410/2141 -f 2143/2412/2143 2151/2421/2151 2150/2420/2150 2142/2411/2142 -f 2144/2405/2137 2152/2414/2145 2151/2421/2151 2143/2412/2143 -f 2145/2413/2144 2153/2422/2152 2160/2423/2153 2152/2414/2145 -f 2146/2415/2146 2154/2424/2154 2153/2425/2152 2145/2416/2144 -f 2147/2417/2147 2155/2426/2155 2154/2424/2154 2146/2415/2146 -f 2148/2418/2148 2156/2427/2156 2155/2426/2155 2147/2417/2147 -f 2149/2419/2149 2157/2428/2157 2156/2427/2156 2148/2418/2148 -f 2150/2420/2150 2158/2429/2158 2157/2428/2157 2149/2419/2149 -f 2151/2421/2151 2159/2430/2159 2158/2429/2158 2150/2420/2150 -f 2152/2414/2145 2160/2423/2153 2159/2430/2159 2151/2421/2151 -f 2153/2422/2152 2161/2431/2160 2168/2432/2161 2160/2423/2153 -f 2154/2424/2154 2162/2433/2162 2161/2434/2160 2153/2425/2152 -f 2155/2426/2155 2163/2435/2163 2162/2433/2162 2154/2424/2154 -f 2156/2427/2156 2164/2436/2164 2163/2435/2163 2155/2426/2155 -f 2157/2428/2157 2165/2437/2165 2164/2436/2164 2156/2427/2156 -f 2158/2429/2158 2166/2438/2166 2165/2437/2165 2157/2428/2157 -f 2159/2430/2159 2167/2439/2167 2166/2438/2166 2158/2429/2158 -f 2160/2423/2153 2168/2432/2161 2167/2439/2167 2159/2430/2159 -f 2161/2431/2160 2169/2440/2168 2176/2441/2169 2168/2432/2161 -f 2162/2433/2162 2170/2442/2170 2169/2443/2168 2161/2434/2160 -f 2163/2435/2163 2171/2444/2171 2170/2442/2170 2162/2433/2162 -f 2164/2436/2164 2172/2445/2172 2171/2444/2171 2163/2435/2163 -f 2165/2437/2165 2173/2446/2173 2172/2445/2172 2164/2436/2164 -f 2166/2438/2166 2174/2447/2174 2173/2446/2173 2165/2437/2165 -f 2167/2439/2167 2175/2448/2175 2174/2447/2174 2166/2438/2166 -f 2168/2432/2161 2176/2441/2169 2175/2448/2175 2167/2439/2167 -f 2169/2440/2168 2177/2449/2176 2184/2450/2177 2176/2441/2169 -f 2170/2442/2170 2178/2451/2178 2177/2452/2176 2169/2443/2168 -f 2171/2444/2171 2179/2453/2179 2178/2451/2178 2170/2442/2170 -f 2172/2445/2172 2180/2454/2180 2179/2453/2179 2171/2444/2171 -f 2173/2446/2173 2181/2455/2181 2180/2454/2180 2172/2445/2172 -f 2174/2447/2174 2182/2456/2182 2181/2455/2181 2173/2446/2173 -f 2175/2448/2175 2183/2457/2183 2182/2456/2182 2174/2447/2174 -f 2176/2441/2169 2184/2450/2177 2183/2457/2183 2175/2448/2175 -f 2177/2449/2176 2185/2458/2184 2192/2459/2185 2184/2450/2177 -f 2178/2451/2178 2186/2460/2186 2185/2461/2184 2177/2452/2176 -f 2179/2453/2179 2187/2462/2187 2186/2460/2186 2178/2451/2178 -f 2180/2454/2180 2188/2463/2188 2187/2462/2187 2179/2453/2179 -f 2181/2455/2181 2189/2464/2189 2188/2463/2188 2180/2454/2180 -f 2182/2456/2182 2190/2465/2190 2189/2464/2189 2181/2455/2181 -f 2183/2457/2183 2191/2466/2191 2190/2465/2190 2182/2456/2182 -f 2184/2450/2177 2192/2459/2185 2191/2466/2191 2183/2457/2183 -f 2185/2458/2184 2193/2467/2192 2200/2468/2193 2192/2459/2185 -f 2186/2460/2186 2194/2469/2194 2193/2470/2192 2185/2461/2184 -f 2187/2462/2187 2195/2471/2195 2194/2469/2194 2186/2460/2186 -f 2188/2463/2188 2196/2472/2196 2195/2471/2195 2187/2462/2187 -f 2189/2464/2189 2197/2473/2197 2196/2472/2196 2188/2463/2188 -f 2190/2465/2190 2198/2474/2198 2197/2473/2197 2189/2464/2189 -f 2191/2466/2191 2199/2475/2199 2198/2474/2198 2190/2465/2190 -f 2192/2459/2185 2200/2468/2193 2199/2475/2199 2191/2466/2191 -f 2193/2467/2192 2201/2476/2200 2208/2477/2201 2200/2468/2193 -f 2194/2469/2194 2202/2478/2202 2201/2479/2200 2193/2470/2192 -f 2195/2471/2195 2203/2480/2203 2202/2478/2202 2194/2469/2194 -f 2196/2472/2196 2204/2481/2204 2203/2480/2203 2195/2471/2195 -f 2197/2473/2197 2205/2482/2205 2204/2481/2204 2196/2472/2196 -f 2198/2474/2198 2206/2483/2206 2205/2482/2205 2197/2473/2197 -f 2199/2475/2199 2207/2484/2207 2206/2483/2206 2198/2474/2198 -f 2200/2468/2193 2208/2477/2201 2207/2484/2207 2199/2475/2199 -f 2201/2476/2200 2209/2485/2208 2216/2486/2209 2208/2477/2201 -f 2202/2478/2202 2210/2487/2210 2209/2488/2208 2201/2479/2200 -f 2203/2480/2203 2211/2489/2211 2210/2487/2210 2202/2478/2202 -f 2204/2481/2204 2212/2490/2212 2211/2489/2211 2203/2480/2203 -f 2205/2482/2205 2213/2491/2213 2212/2490/2212 2204/2481/2204 -f 2206/2483/2206 2214/2492/2214 2213/2491/2213 2205/2482/2205 -f 2207/2484/2207 2215/2493/2215 2214/2492/2214 2206/2483/2206 -f 2208/2477/2201 2216/2486/2209 2215/2493/2215 2207/2484/2207 -f 2209/2485/2208 2217/2494/2216 2224/2495/2217 2216/2486/2209 -f 2210/2487/2210 2218/2496/2218 2217/2497/2216 2209/2488/2208 -f 2211/2489/2211 2219/2498/2219 2218/2496/2218 2210/2487/2210 -f 2212/2490/2212 2220/2499/2220 2219/2498/2219 2211/2489/2211 -f 2213/2491/2213 2221/2500/2221 2220/2499/2220 2212/2490/2212 -f 2214/2492/2214 2222/2501/2222 2221/2500/2221 2213/2491/2213 -f 2215/2493/2215 2223/2502/2223 2222/2501/2222 2214/2492/2214 -f 2216/2486/2209 2224/2495/2217 2223/2502/2223 2215/2493/2215 -f 2217/2494/2216 2225/2503/2224 2232/2504/2225 2224/2495/2217 -f 2218/2496/2218 2226/2505/2226 2225/2506/2224 2217/2497/2216 -f 2219/2498/2219 2227/2507/2227 2226/2505/2226 2218/2496/2218 -f 2220/2499/2220 2228/2508/2228 2227/2507/2227 2219/2498/2219 -f 2221/2500/2221 2229/2509/2229 2228/2508/2228 2220/2499/2220 -f 2222/2501/2222 2230/2510/2230 2229/2509/2229 2221/2500/2221 -f 2223/2502/2223 2231/2511/2231 2230/2510/2230 2222/2501/2222 -f 2224/2495/2217 2232/2504/2225 2231/2511/2231 2223/2502/2223 -f 2225/2503/2224 2233/2512/2232 2240/2513/2233 2232/2504/2225 -f 2226/2505/2226 2234/2514/2234 2233/2515/2232 2225/2506/2224 -f 2227/2507/2227 2235/2516/2235 2234/2514/2234 2226/2505/2226 -f 2228/2508/2228 2236/2517/2236 2235/2516/2235 2227/2507/2227 -f 2229/2509/2229 2237/2518/2237 2236/2517/2236 2228/2508/2228 -f 2230/2510/2230 2238/2519/2238 2237/2518/2237 2229/2509/2229 -f 2231/2511/2231 2239/2520/2239 2238/2519/2238 2230/2510/2230 -f 2232/2504/2225 2240/2513/2233 2239/2520/2239 2231/2511/2231 -f 2233/2512/2232 2241/2521/2240 2248/2522/2241 2240/2513/2233 -f 2234/2514/2234 2242/2523/2242 2241/2524/2240 2233/2515/2232 -f 2235/2516/2235 2243/2525/2243 2242/2523/2242 2234/2514/2234 -f 2236/2517/2236 2244/2526/2244 2243/2525/2243 2235/2516/2235 -f 2237/2518/2237 2245/2527/2245 2244/2526/2244 2236/2517/2236 -f 2238/2519/2238 2246/2528/2246 2245/2527/2245 2237/2518/2237 -f 2239/2520/2239 2247/2529/2247 2246/2528/2246 2238/2519/2238 -f 2240/2513/2233 2248/2522/2241 2247/2529/2247 2239/2520/2239 -f 2249/2530/2248 2257/2531/2249 2264/2532/2250 2256/2533/2251 -f 2250/2534/2252 2258/2535/2253 2257/2536/2249 2249/2537/2248 -f 2251/2538/2254 2259/2539/2255 2258/2535/2253 2250/2534/2252 -f 2252/2540/2256 2260/2541/2257 2259/2539/2255 2251/2538/2254 -f 2253/2542/2258 2261/2543/2259 2260/2541/2257 2252/2540/2256 -f 2254/2544/2260 2262/2545/2261 2261/2543/2259 2253/2542/2258 -f 2255/2546/2262 2263/2547/2263 2262/2545/2261 2254/2544/2260 -f 2256/2533/2251 2264/2532/2250 2263/2547/2263 2255/2546/2262 -f 2257/2531/2249 2265/2548/2264 2272/2549/2265 2264/2532/2250 -f 2258/2535/2253 2266/2550/2266 2265/2551/2264 2257/2536/2249 -f 2259/2539/2255 2267/2552/2267 2266/2550/2266 2258/2535/2253 -f 2260/2541/2257 2268/2553/2268 2267/2552/2267 2259/2539/2255 -f 2261/2543/2259 2269/2554/2269 2268/2553/2268 2260/2541/2257 -f 2262/2545/2261 2270/2555/2270 2269/2554/2269 2261/2543/2259 -f 2263/2547/2263 2271/2556/2271 2270/2555/2270 2262/2545/2261 -f 2264/2532/2250 2272/2549/2265 2271/2556/2271 2263/2547/2263 -f 2265/2548/2264 2273/2557/2272 2280/2558/2273 2272/2549/2265 -f 2266/2550/2266 2274/2559/2274 2273/2560/2272 2265/2551/2264 -f 2267/2552/2267 2275/2561/2275 2274/2559/2274 2266/2550/2266 -f 2268/2553/2268 2276/2562/2276 2275/2561/2275 2267/2552/2267 -f 2269/2554/2269 2277/2563/2277 2276/2562/2276 2268/2553/2268 -f 2270/2555/2270 2278/2564/2278 2277/2563/2277 2269/2554/2269 -f 2271/2556/2271 2279/2565/2279 2278/2564/2278 2270/2555/2270 -f 2272/2549/2265 2280/2558/2273 2279/2565/2279 2271/2556/2271 -f 2273/2557/2272 2281/2566/2280 2288/2567/2281 2280/2558/2273 -f 2274/2559/2274 2282/2568/2282 2281/2569/2280 2273/2560/2272 -f 2275/2561/2275 2283/2570/2283 2282/2568/2282 2274/2559/2274 -f 2276/2562/2276 2284/2571/2284 2283/2570/2283 2275/2561/2275 -f 2277/2563/2277 2285/2572/2285 2284/2571/2284 2276/2562/2276 -f 2278/2564/2278 2286/2573/2286 2285/2572/2285 2277/2563/2277 -f 2279/2565/2279 2287/2574/2287 2286/2573/2286 2278/2564/2278 -f 2280/2558/2273 2288/2567/2281 2287/2574/2287 2279/2565/2279 -f 2281/2566/2280 2289/2575/2288 2296/2576/2289 2288/2567/2281 -f 2282/2568/2282 2290/2577/2290 2289/2578/2288 2281/2569/2280 -f 2283/2570/2283 2291/2579/2291 2290/2577/2290 2282/2568/2282 -f 2284/2571/2284 2292/2580/2292 2291/2579/2291 2283/2570/2283 -f 2285/2572/2285 2293/2581/2293 2292/2580/2292 2284/2571/2284 -f 2286/2573/2286 2294/2582/2294 2293/2581/2293 2285/2572/2285 -f 2287/2574/2287 2295/2583/2295 2294/2582/2294 2286/2573/2286 -f 2288/2567/2281 2296/2576/2289 2295/2583/2295 2287/2574/2287 -f 2289/2575/2288 2297/2584/2296 2304/2585/2297 2296/2576/2289 -f 2290/2577/2290 2298/2586/2298 2297/2587/2296 2289/2578/2288 -f 2291/2579/2291 2299/2588/2299 2298/2586/2298 2290/2577/2290 -f 2292/2580/2292 2300/2589/2300 2299/2588/2299 2291/2579/2291 -f 2293/2581/2293 2301/2590/2301 2300/2589/2300 2292/2580/2292 -f 2294/2582/2294 2302/2591/2302 2301/2590/2301 2293/2581/2293 -f 2295/2583/2295 2303/2592/2303 2302/2591/2302 2294/2582/2294 -f 2296/2576/2289 2304/2585/2297 2303/2592/2303 2295/2583/2295 -f 2297/2584/2296 2305/2593/2304 2312/2594/2305 2304/2585/2297 -f 2298/2586/2298 2306/2595/2306 2305/2596/2304 2297/2587/2296 -f 2299/2588/2299 2307/2597/2307 2306/2595/2306 2298/2586/2298 -f 2300/2589/2300 2308/2598/2308 2307/2597/2307 2299/2588/2299 -f 2301/2590/2301 2309/2599/2309 2308/2598/2308 2300/2589/2300 -f 2302/2591/2302 2310/2600/2310 2309/2599/2309 2301/2590/2301 -f 2303/2592/2303 2311/2601/2311 2310/2600/2310 2302/2591/2302 -f 2304/2585/2297 2312/2594/2305 2311/2601/2311 2303/2592/2303 -f 2305/2593/2304 2313/2602/2312 2320/2603/2313 2312/2594/2305 -f 2306/2595/2306 2314/2604/2314 2313/2605/2312 2305/2596/2304 -f 2307/2597/2307 2315/2606/2315 2314/2604/2314 2306/2595/2306 -f 2308/2598/2308 2316/2607/2316 2315/2606/2315 2307/2597/2307 -f 2309/2599/2309 2317/2608/2317 2316/2607/2316 2308/2598/2308 -f 2310/2600/2310 2318/2609/2318 2317/2608/2317 2309/2599/2309 -f 2311/2601/2311 2319/2610/2319 2318/2609/2318 2310/2600/2310 -f 2312/2594/2305 2320/2603/2313 2319/2610/2319 2311/2601/2311 -f 2313/2602/2312 2321/2611/2320 2328/2612/2321 2320/2603/2313 -f 2314/2604/2314 2322/2613/2322 2321/2614/2320 2313/2605/2312 -f 2315/2606/2315 2323/2615/2323 2322/2613/2322 2314/2604/2314 -f 2316/2607/2316 2324/2616/2324 2323/2615/2323 2315/2606/2315 -f 2317/2608/2317 2325/2617/2325 2324/2616/2324 2316/2607/2316 -f 2318/2609/2318 2326/2618/2326 2325/2617/2325 2317/2608/2317 -f 2319/2610/2319 2327/2619/2327 2326/2618/2326 2318/2609/2318 -f 2320/2603/2313 2328/2612/2321 2327/2619/2327 2319/2610/2319 -f 2321/2611/2320 2329/2620/2328 2336/2621/2329 2328/2612/2321 -f 2322/2613/2322 2330/2622/2330 2329/2623/2328 2321/2614/2320 -f 2323/2615/2323 2331/2624/2331 2330/2622/2330 2322/2613/2322 -f 2324/2616/2324 2332/2625/2332 2331/2624/2331 2323/2615/2323 -f 2325/2617/2325 2333/2626/2333 2332/2625/2332 2324/2616/2324 -f 2326/2618/2326 2334/2627/2334 2333/2626/2333 2325/2617/2325 -f 2327/2619/2327 2335/2628/2335 2334/2627/2334 2326/2618/2326 -f 2328/2612/2321 2336/2621/2329 2335/2628/2335 2327/2619/2327 -f 2329/2620/2328 2337/2629/2336 2344/2630/2337 2336/2621/2329 -f 2330/2622/2330 2338/2631/2338 2337/2632/2336 2329/2623/2328 -f 2331/2624/2331 2339/2633/2339 2338/2631/2338 2330/2622/2330 -f 2332/2625/2332 2340/2634/2340 2339/2633/2339 2331/2624/2331 -f 2333/2626/2333 2341/2635/2341 2340/2634/2340 2332/2625/2332 -f 2334/2627/2334 2342/2636/2342 2341/2635/2341 2333/2626/2333 -f 2335/2628/2335 2343/2637/2343 2342/2636/2342 2334/2627/2334 -f 2336/2621/2329 2344/2630/2337 2343/2637/2343 2335/2628/2335 -f 2337/2629/2336 2345/2638/2344 2352/2639/2345 2344/2630/2337 -f 2338/2631/2338 2346/2640/2346 2345/2641/2344 2337/2632/2336 -f 2339/2633/2339 2347/2642/2347 2346/2640/2346 2338/2631/2338 -f 2340/2634/2340 2348/2643/2348 2347/2642/2347 2339/2633/2339 -f 2341/2635/2341 2349/2644/2349 2348/2643/2348 2340/2634/2340 -f 2342/2636/2342 2350/2645/2350 2349/2644/2349 2341/2635/2341 -f 2343/2637/2343 2351/2646/2351 2350/2645/2350 2342/2636/2342 -f 2344/2630/2337 2352/2639/2345 2351/2646/2351 2343/2637/2343 -f 2345/2638/2344 2353/2647/2352 2360/2648/2353 2352/2639/2345 -f 2346/2640/2346 2354/2649/2354 2353/2650/2352 2345/2641/2344 -f 2347/2642/2347 2355/2651/2355 2354/2649/2354 2346/2640/2346 -f 2348/2643/2348 2356/2652/2356 2355/2651/2355 2347/2642/2347 -f 2349/2644/2349 2357/2653/2357 2356/2652/2356 2348/2643/2348 -f 2350/2645/2350 2358/2654/2358 2357/2653/2357 2349/2644/2349 -f 2351/2646/2351 2359/2655/2359 2358/2654/2358 2350/2645/2350 -f 2352/2639/2345 2360/2648/2353 2359/2655/2359 2351/2646/2351 -f 2353/2647/2352 2361/2656/2360 2368/2657/2361 2360/2648/2353 -f 2354/2649/2354 2362/2658/2362 2361/2659/2360 2353/2650/2352 -f 2355/2651/2355 2363/2660/2363 2362/2658/2362 2354/2649/2354 -f 2356/2652/2356 2364/2661/2364 2363/2660/2363 2355/2651/2355 -f 2357/2653/2357 2365/2662/2365 2364/2661/2364 2356/2652/2356 -f 2358/2654/2358 2366/2663/2366 2365/2662/2365 2357/2653/2357 -f 2359/2655/2359 2367/2664/2367 2366/2663/2366 2358/2654/2358 -f 2360/2648/2353 2368/2657/2361 2367/2664/2367 2359/2655/2359 -f 2361/2656/2360 2369/2665/2368 2376/2666/2369 2368/2657/2361 -f 2362/2658/2362 2370/2667/2370 2369/2668/2368 2361/2659/2360 -f 2363/2660/2363 2371/2669/2371 2370/2667/2370 2362/2658/2362 -f 2364/2661/2364 2372/2670/2372 2371/2669/2371 2363/2660/2363 -f 2365/2662/2365 2373/2671/2373 2372/2670/2372 2364/2661/2364 -f 2366/2663/2366 2374/2672/2374 2373/2671/2373 2365/2662/2365 -f 2367/2664/2367 2375/2673/2375 2374/2672/2374 2366/2663/2366 -f 2368/2657/2361 2376/2666/2369 2375/2673/2375 2367/2664/2367 -f 2377/2674/2376 2385/2675/2377 2392/2676/2378 2384/2677/2379 -f 2378/2678/2380 2386/2679/2381 2385/2680/2377 2377/2681/2376 -f 2379/2682/2382 2387/2683/2383 2386/2679/2381 2378/2678/2380 -f 2380/2684/2384 2388/2685/2385 2387/2683/2383 2379/2682/2382 -f 2381/2686/2386 2389/2687/2387 2388/2685/2385 2380/2684/2384 -f 2382/2688/2388 2390/2689/2389 2389/2687/2387 2381/2686/2386 -f 2383/2690/2390 2391/2691/2391 2390/2689/2389 2382/2688/2388 -f 2384/2677/2379 2392/2676/2378 2391/2691/2391 2383/2690/2390 -f 2385/2675/2377 2393/2692/2392 2400/2693/2393 2392/2676/2378 -f 2386/2679/2381 2394/2694/2394 2393/2695/2392 2385/2680/2377 -f 2387/2683/2383 2395/2696/2395 2394/2694/2394 2386/2679/2381 -f 2388/2685/2385 2396/2697/2396 2395/2696/2395 2387/2683/2383 -f 2389/2687/2387 2397/2698/2397 2396/2697/2396 2388/2685/2385 -f 2390/2689/2389 2398/2699/2398 2397/2698/2397 2389/2687/2387 -f 2391/2691/2391 2399/2700/2399 2398/2699/2398 2390/2689/2389 -f 2392/2676/2378 2400/2693/2393 2399/2700/2399 2391/2691/2391 -f 2393/2692/2392 2401/2701/2400 2408/2702/2401 2400/2693/2393 -f 2394/2694/2394 2402/2703/2402 2401/2704/2400 2393/2695/2392 -f 2395/2696/2395 2403/2705/2403 2402/2703/2402 2394/2694/2394 -f 2396/2697/2396 2404/2706/2404 2403/2705/2403 2395/2696/2395 -f 2397/2698/2397 2405/2707/2405 2404/2706/2404 2396/2697/2396 -f 2398/2699/2398 2406/2708/2406 2405/2707/2405 2397/2698/2397 -f 2399/2700/2399 2407/2709/2407 2406/2708/2406 2398/2699/2398 -f 2400/2693/2393 2408/2702/2401 2407/2709/2407 2399/2700/2399 -f 2401/2701/2400 2409/2710/2408 2416/2711/2409 2408/2702/2401 -f 2402/2703/2402 2410/2712/2410 2409/2713/2408 2401/2704/2400 -f 2403/2705/2403 2411/2714/2411 2410/2712/2410 2402/2703/2402 -f 2404/2706/2404 2412/2715/2412 2411/2714/2411 2403/2705/2403 -f 2405/2707/2405 2413/2716/2413 2412/2715/2412 2404/2706/2404 -f 2406/2708/2406 2414/2717/2414 2413/2716/2413 2405/2707/2405 -f 2407/2709/2407 2415/2718/2415 2414/2717/2414 2406/2708/2406 -f 2408/2702/2401 2416/2711/2409 2415/2718/2415 2407/2709/2407 -f 2409/2710/2408 2417/2719/2416 2424/2720/2417 2416/2711/2409 -f 2410/2712/2410 2418/2721/2418 2417/2722/2416 2409/2713/2408 -f 2411/2714/2411 2419/2723/2419 2418/2721/2418 2410/2712/2410 -f 2412/2715/2412 2420/2724/2420 2419/2723/2419 2411/2714/2411 -f 2413/2716/2413 2421/2725/2421 2420/2724/2420 2412/2715/2412 -f 2414/2717/2414 2422/2726/2422 2421/2725/2421 2413/2716/2413 -f 2415/2718/2415 2423/2727/2423 2422/2726/2422 2414/2717/2414 -f 2416/2711/2409 2424/2720/2417 2423/2727/2423 2415/2718/2415 -f 2417/2719/2416 2425/2728/2424 2432/2729/2425 2424/2720/2417 -f 2418/2721/2418 2426/2730/2426 2425/2731/2424 2417/2722/2416 -f 2419/2723/2419 2427/2732/2427 2426/2730/2426 2418/2721/2418 -f 2420/2724/2420 2428/2733/2428 2427/2732/2427 2419/2723/2419 -f 2421/2725/2421 2429/2734/2429 2428/2733/2428 2420/2724/2420 -f 2422/2726/2422 2430/2735/2430 2429/2734/2429 2421/2725/2421 -f 2423/2727/2423 2431/2736/2431 2430/2735/2430 2422/2726/2422 -f 2424/2720/2417 2432/2729/2425 2431/2736/2431 2423/2727/2423 -f 2425/2728/2424 2433/2737/2432 2440/2738/2433 2432/2729/2425 -f 2426/2730/2426 2434/2739/2434 2433/2740/2432 2425/2731/2424 -f 2427/2732/2427 2435/2741/2435 2434/2739/2434 2426/2730/2426 -f 2428/2733/2428 2436/2742/2436 2435/2741/2435 2427/2732/2427 -f 2429/2734/2429 2437/2743/2437 2436/2742/2436 2428/2733/2428 -f 2430/2735/2430 2438/2744/2438 2437/2743/2437 2429/2734/2429 -f 2431/2736/2431 2439/2745/2439 2438/2744/2438 2430/2735/2430 -f 2432/2729/2425 2440/2738/2433 2439/2745/2439 2431/2736/2431 -f 2433/2737/2432 2441/2746/2440 2448/2747/2441 2440/2738/2433 -f 2434/2739/2434 2442/2748/2442 2441/2749/2440 2433/2740/2432 -f 2435/2741/2435 2443/2750/2443 2442/2748/2442 2434/2739/2434 -f 2436/2742/2436 2444/2751/2444 2443/2750/2443 2435/2741/2435 -f 2437/2743/2437 2445/2752/2445 2444/2751/2444 2436/2742/2436 -f 2438/2744/2438 2446/2753/2446 2445/2752/2445 2437/2743/2437 -f 2439/2745/2439 2447/2754/2447 2446/2753/2446 2438/2744/2438 -f 2440/2738/2433 2448/2747/2441 2447/2754/2447 2439/2745/2439 -f 2441/2746/2440 2449/2755/2448 2456/2756/2449 2448/2747/2441 -f 2442/2748/2442 2450/2757/2450 2449/2758/2448 2441/2749/2440 -f 2443/2750/2443 2451/2759/2451 2450/2757/2450 2442/2748/2442 -f 2444/2751/2444 2452/2760/2452 2451/2759/2451 2443/2750/2443 -f 2445/2752/2445 2453/2761/2453 2452/2760/2452 2444/2751/2444 -f 2446/2753/2446 2454/2762/2454 2453/2761/2453 2445/2752/2445 -f 2447/2754/2447 2455/2763/2455 2454/2762/2454 2446/2753/2446 -f 2448/2747/2441 2456/2756/2449 2455/2763/2455 2447/2754/2447 -f 2449/2755/2448 2457/2764/2456 2464/2765/2457 2456/2756/2449 -f 2450/2757/2450 2458/2766/2458 2457/2767/2456 2449/2758/2448 -f 2451/2759/2451 2459/2768/2459 2458/2766/2458 2450/2757/2450 -f 2452/2760/2452 2460/2769/2460 2459/2768/2459 2451/2759/2451 -f 2453/2761/2453 2461/2770/2461 2460/2769/2460 2452/2760/2452 -f 2454/2762/2454 2462/2771/2462 2461/2770/2461 2453/2761/2453 -f 2455/2763/2455 2463/2772/2463 2462/2771/2462 2454/2762/2454 -f 2456/2756/2449 2464/2765/2457 2463/2772/2463 2455/2763/2455 -f 2457/2764/2456 2465/2773/2464 2472/2774/2465 2464/2765/2457 -f 2458/2766/2458 2466/2775/2466 2465/2776/2464 2457/2767/2456 -f 2459/2768/2459 2467/2777/2467 2466/2775/2466 2458/2766/2458 -f 2460/2769/2460 2468/2778/2468 2467/2777/2467 2459/2768/2459 -f 2461/2770/2461 2469/2779/2469 2468/2778/2468 2460/2769/2460 -f 2462/2771/2462 2470/2780/2470 2469/2779/2469 2461/2770/2461 -f 2463/2772/2463 2471/2781/2471 2470/2780/2470 2462/2771/2462 -f 2464/2765/2457 2472/2774/2465 2471/2781/2471 2463/2772/2463 -f 2465/2773/2464 2473/2782/2472 2480/2783/2473 2472/2774/2465 -f 2466/2775/2466 2474/2784/2474 2473/2785/2472 2465/2776/2464 -f 2467/2777/2467 2475/2786/2475 2474/2784/2474 2466/2775/2466 -f 2468/2778/2468 2476/2787/2476 2475/2786/2475 2467/2777/2467 -f 2469/2779/2469 2477/2788/2477 2476/2787/2476 2468/2778/2468 -f 2470/2780/2470 2478/2789/2478 2477/2788/2477 2469/2779/2469 -f 2471/2781/2471 2479/2790/2479 2478/2789/2478 2470/2780/2470 -f 2472/2774/2465 2480/2783/2473 2479/2790/2479 2471/2781/2471 -f 2473/2782/2472 2481/2791/2480 2488/2792/2481 2480/2783/2473 -f 2474/2784/2474 2482/2793/2482 2481/2794/2480 2473/2785/2472 -f 2475/2786/2475 2483/2795/2483 2482/2793/2482 2474/2784/2474 -f 2476/2787/2476 2484/2796/2484 2483/2795/2483 2475/2786/2475 -f 2477/2788/2477 2485/2797/2485 2484/2796/2484 2476/2787/2476 -f 2478/2789/2478 2486/2798/2486 2485/2797/2485 2477/2788/2477 -f 2479/2790/2479 2487/2799/2487 2486/2798/2486 2478/2789/2478 -f 2480/2783/2473 2488/2792/2481 2487/2799/2487 2479/2790/2479 -f 2481/2791/2480 2489/2800/2488 2496/2801/2489 2488/2792/2481 -f 2482/2793/2482 2490/2802/2490 2489/2803/2488 2481/2794/2480 -f 2483/2795/2483 2491/2804/2491 2490/2802/2490 2482/2793/2482 -f 2484/2796/2484 2492/2805/2492 2491/2804/2491 2483/2795/2483 -f 2485/2797/2485 2493/2806/2493 2492/2805/2492 2484/2796/2484 -f 2486/2798/2486 2494/2807/2494 2493/2806/2493 2485/2797/2485 -f 2487/2799/2487 2495/2808/2495 2494/2807/2494 2486/2798/2486 -f 2488/2792/2481 2496/2801/2489 2495/2808/2495 2487/2799/2487 -f 2489/2800/2488 2497/2809/2496 2504/2810/2497 2496/2801/2489 -f 2490/2802/2490 2498/2811/2498 2497/2812/2496 2489/2803/2488 -f 2491/2804/2491 2499/2813/2499 2498/2811/2498 2490/2802/2490 -f 2492/2805/2492 2500/2814/2500 2499/2813/2499 2491/2804/2491 -f 2493/2806/2493 2501/2815/2501 2500/2814/2500 2492/2805/2492 -f 2494/2807/2494 2502/2816/2502 2501/2815/2501 2493/2806/2493 -f 2495/2808/2495 2503/2817/2503 2502/2816/2502 2494/2807/2494 -f 2496/2801/2489 2504/2810/2497 2503/2817/2503 2495/2808/2495 -f 2505/2818/2504 2513/2819/2505 2520/2820/2506 2512/2821/2507 -f 2506/2822/2508 2514/2823/2509 2513/2824/2505 2505/2825/2504 -f 2507/2826/2510 2515/2827/2511 2514/2823/2509 2506/2822/2508 -f 2508/2828/2512 2516/2829/2513 2515/2827/2511 2507/2826/2510 -f 2509/2830/2514 2517/2831/2515 2516/2829/2513 2508/2828/2512 -f 2510/2832/2516 2518/2833/2517 2517/2831/2515 2509/2830/2514 -f 2511/2834/2518 2519/2835/2519 2518/2833/2517 2510/2832/2516 -f 2512/2821/2507 2520/2820/2506 2519/2835/2519 2511/2834/2518 -f 2513/2819/2505 2521/2836/2520 2528/2837/2521 2520/2820/2506 -f 2514/2823/2509 2522/2838/2522 2521/2839/2520 2513/2824/2505 -f 2515/2827/2511 2523/2840/2523 2522/2838/2522 2514/2823/2509 -f 2516/2829/2513 2524/2841/2524 2523/2840/2523 2515/2827/2511 -f 2517/2831/2515 2525/2842/2525 2524/2841/2524 2516/2829/2513 -f 2518/2833/2517 2526/2843/2526 2525/2842/2525 2517/2831/2515 -f 2519/2835/2519 2527/2844/2527 2526/2843/2526 2518/2833/2517 -f 2520/2820/2506 2528/2837/2521 2527/2844/2527 2519/2835/2519 -f 2521/2836/2520 2529/2845/2528 2536/2846/2529 2528/2837/2521 -f 2522/2838/2522 2530/2847/2530 2529/2848/2528 2521/2839/2520 -f 2523/2840/2523 2531/2849/2531 2530/2847/2530 2522/2838/2522 -f 2524/2841/2524 2532/2850/2532 2531/2849/2531 2523/2840/2523 -f 2525/2842/2525 2533/2851/2533 2532/2850/2532 2524/2841/2524 -f 2526/2843/2526 2534/2852/2534 2533/2851/2533 2525/2842/2525 -f 2527/2844/2527 2535/2853/2535 2534/2852/2534 2526/2843/2526 -f 2528/2837/2521 2536/2846/2529 2535/2853/2535 2527/2844/2527 -f 2529/2845/2528 2537/2854/2536 2544/2855/2537 2536/2846/2529 -f 2530/2847/2530 2538/2856/2538 2537/2857/2536 2529/2848/2528 -f 2531/2849/2531 2539/2858/2539 2538/2856/2538 2530/2847/2530 -f 2532/2850/2532 2540/2859/2540 2539/2858/2539 2531/2849/2531 -f 2533/2851/2533 2541/2860/2541 2540/2859/2540 2532/2850/2532 -f 2534/2852/2534 2542/2861/2542 2541/2860/2541 2533/2851/2533 -f 2535/2853/2535 2543/2862/2543 2542/2861/2542 2534/2852/2534 -f 2536/2846/2529 2544/2855/2537 2543/2862/2543 2535/2853/2535 -f 2537/2854/2536 2545/2863/2544 2552/2864/2545 2544/2855/2537 -f 2538/2856/2538 2546/2865/2546 2545/2866/2544 2537/2857/2536 -f 2539/2858/2539 2547/2867/2547 2546/2865/2546 2538/2856/2538 -f 2540/2859/2540 2548/2868/2548 2547/2867/2547 2539/2858/2539 -f 2541/2860/2541 2549/2869/2549 2548/2868/2548 2540/2859/2540 -f 2542/2861/2542 2550/2870/2550 2549/2869/2549 2541/2860/2541 -f 2543/2862/2543 2551/2871/2551 2550/2870/2550 2542/2861/2542 -f 2544/2855/2537 2552/2864/2545 2551/2871/2551 2543/2862/2543 -f 2545/2863/2544 2553/2872/2552 2560/2873/2553 2552/2864/2545 -f 2546/2865/2546 2554/2874/2554 2553/2875/2552 2545/2866/2544 -f 2547/2867/2547 2555/2876/2555 2554/2874/2554 2546/2865/2546 -f 2548/2868/2548 2556/2877/2556 2555/2876/2555 2547/2867/2547 -f 2549/2869/2549 2557/2878/2557 2556/2877/2556 2548/2868/2548 -f 2550/2870/2550 2558/2879/2558 2557/2878/2557 2549/2869/2549 -f 2551/2871/2551 2559/2880/2559 2558/2879/2558 2550/2870/2550 -f 2552/2864/2545 2560/2873/2553 2559/2880/2559 2551/2871/2551 -f 2553/2872/2552 2561/2881/2560 2568/2882/2561 2560/2873/2553 -f 2554/2874/2554 2562/2883/2562 2561/2884/2560 2553/2875/2552 -f 2555/2876/2555 2563/2885/2563 2562/2883/2562 2554/2874/2554 -f 2556/2877/2556 2564/2886/2564 2563/2885/2563 2555/2876/2555 -f 2557/2878/2557 2565/2887/2565 2564/2886/2564 2556/2877/2556 -f 2558/2879/2558 2566/2888/2566 2565/2887/2565 2557/2878/2557 -f 2559/2880/2559 2567/2889/2567 2566/2888/2566 2558/2879/2558 -f 2560/2873/2553 2568/2882/2561 2567/2889/2567 2559/2880/2559 -f 2561/2881/2560 2569/2890/2568 2576/2891/2569 2568/2882/2561 -f 2562/2883/2562 2570/2892/2570 2569/2893/2568 2561/2884/2560 -f 2563/2885/2563 2571/2894/2571 2570/2892/2570 2562/2883/2562 -f 2564/2886/2564 2572/2895/2572 2571/2894/2571 2563/2885/2563 -f 2565/2887/2565 2573/2896/2573 2572/2895/2572 2564/2886/2564 -f 2566/2888/2566 2574/2897/2574 2573/2896/2573 2565/2887/2565 -f 2567/2889/2567 2575/2898/2575 2574/2897/2574 2566/2888/2566 -f 2568/2882/2561 2576/2891/2569 2575/2898/2575 2567/2889/2567 -f 2569/2890/2568 2577/2899/2576 2584/2900/2577 2576/2891/2569 -f 2570/2892/2570 2578/2901/2578 2577/2902/2576 2569/2893/2568 -f 2571/2894/2571 2579/2903/2579 2578/2901/2578 2570/2892/2570 -f 2572/2895/2572 2580/2904/2580 2579/2903/2579 2571/2894/2571 -f 2573/2896/2573 2581/2905/2581 2580/2904/2580 2572/2895/2572 -f 2574/2897/2574 2582/2906/2582 2581/2905/2581 2573/2896/2573 -f 2575/2898/2575 2583/2907/2583 2582/2906/2582 2574/2897/2574 -f 2576/2891/2569 2584/2900/2577 2583/2907/2583 2575/2898/2575 -f 2577/2899/2576 2585/2908/2584 2592/2909/2585 2584/2900/2577 -f 2578/2901/2578 2586/2910/2586 2585/2911/2584 2577/2902/2576 -f 2579/2903/2579 2587/2912/2587 2586/2910/2586 2578/2901/2578 -f 2580/2904/2580 2588/2913/2588 2587/2912/2587 2579/2903/2579 -f 2581/2905/2581 2589/2914/2589 2588/2913/2588 2580/2904/2580 -f 2582/2906/2582 2590/2915/2590 2589/2914/2589 2581/2905/2581 -f 2583/2907/2583 2591/2916/2591 2590/2915/2590 2582/2906/2582 -f 2584/2900/2577 2592/2909/2585 2591/2916/2591 2583/2907/2583 -f 2585/2908/2584 2593/2917/2592 2600/2918/2593 2592/2909/2585 -f 2586/2910/2586 2594/2919/2594 2593/2920/2592 2585/2911/2584 -f 2587/2912/2587 2595/2921/2595 2594/2919/2594 2586/2910/2586 -f 2588/2913/2588 2596/2922/2596 2595/2921/2595 2587/2912/2587 -f 2589/2914/2589 2597/2923/2597 2596/2922/2596 2588/2913/2588 -f 2590/2915/2590 2598/2924/2598 2597/2923/2597 2589/2914/2589 -f 2591/2916/2591 2599/2925/2599 2598/2924/2598 2590/2915/2590 -f 2592/2909/2585 2600/2918/2593 2599/2925/2599 2591/2916/2591 -f 2593/2917/2592 2601/2926/2600 2608/2927/2601 2600/2918/2593 -f 2594/2919/2594 2602/2928/2602 2601/2929/2600 2593/2920/2592 -f 2595/2921/2595 2603/2930/2603 2602/2928/2602 2594/2919/2594 -f 2596/2922/2596 2604/2931/2604 2603/2930/2603 2595/2921/2595 -f 2597/2923/2597 2605/2932/2605 2604/2931/2604 2596/2922/2596 -f 2598/2924/2598 2606/2933/2606 2605/2932/2605 2597/2923/2597 -f 2599/2925/2599 2607/2934/2607 2606/2933/2606 2598/2924/2598 -f 2600/2918/2593 2608/2927/2601 2607/2934/2607 2599/2925/2599 -f 2601/2926/2600 2609/2935/2608 2616/2936/2609 2608/2927/2601 -f 2602/2928/2602 2610/2937/2610 2609/2938/2608 2601/2929/2600 -f 2603/2930/2603 2611/2939/2611 2610/2937/2610 2602/2928/2602 -f 2604/2931/2604 2612/2940/2612 2611/2939/2611 2603/2930/2603 -f 2605/2932/2605 2613/2941/2613 2612/2940/2612 2604/2931/2604 -f 2606/2933/2606 2614/2942/2614 2613/2941/2613 2605/2932/2605 -f 2607/2934/2607 2615/2943/2615 2614/2942/2614 2606/2933/2606 -f 2608/2927/2601 2616/2936/2609 2615/2943/2615 2607/2934/2607 -f 2609/2935/2608 2617/2944/2616 2624/2945/2617 2616/2936/2609 -f 2610/2937/2610 2618/2946/2618 2617/2947/2616 2609/2938/2608 -f 2611/2939/2611 2619/2948/2619 2618/2946/2618 2610/2937/2610 -f 2612/2940/2612 2620/2949/2620 2619/2948/2619 2611/2939/2611 -f 2613/2941/2613 2621/2950/2621 2620/2949/2620 2612/2940/2612 -f 2614/2942/2614 2622/2951/2622 2621/2950/2621 2613/2941/2613 -f 2615/2943/2615 2623/2952/2623 2622/2951/2622 2614/2942/2614 -f 2616/2936/2609 2624/2945/2617 2623/2952/2623 2615/2943/2615 -f 2617/2944/2616 2625/2953/2624 2632/2954/2625 2624/2945/2617 -f 2618/2946/2618 2626/2955/2626 2625/2956/2624 2617/2947/2616 -f 2619/2948/2619 2627/2957/2627 2626/2955/2626 2618/2946/2618 -f 2620/2949/2620 2628/2958/2628 2627/2957/2627 2619/2948/2619 -f 2621/2950/2621 2629/2959/2629 2628/2958/2628 2620/2949/2620 -f 2622/2951/2622 2630/2960/2630 2629/2959/2629 2621/2950/2621 -f 2623/2952/2623 2631/2961/2631 2630/2960/2630 2622/2951/2622 -f 2624/2945/2617 2632/2954/2625 2631/2961/2631 2623/2952/2623 -f 2633/2962/2632 2641/2963/2633 2648/2964/2634 2640/2965/2635 -f 2634/2966/2636 2642/2967/2637 2641/2968/2633 2633/2969/2632 -f 2635/2970/2638 2643/2971/2639 2642/2967/2637 2634/2966/2636 -f 2636/2972/2640 2644/2973/2641 2643/2971/2639 2635/2970/2638 -f 2637/2974/2642 2645/2975/2643 2644/2973/2641 2636/2972/2640 -f 2638/2976/2644 2646/2977/2645 2645/2975/2643 2637/2974/2642 -f 2639/2978/2646 2647/2979/2647 2646/2977/2645 2638/2976/2644 -f 2640/2965/2635 2648/2964/2634 2647/2979/2647 2639/2978/2646 -f 2641/2963/2633 2649/2980/2648 2656/2981/2649 2648/2964/2634 -f 2642/2967/2637 2650/2982/2650 2649/2983/2648 2641/2968/2633 -f 2643/2971/2639 2651/2984/2651 2650/2982/2650 2642/2967/2637 -f 2644/2973/2641 2652/2985/2652 2651/2984/2651 2643/2971/2639 -f 2645/2975/2643 2653/2986/2653 2652/2985/2652 2644/2973/2641 -f 2646/2977/2645 2654/2987/2654 2653/2986/2653 2645/2975/2643 -f 2647/2979/2647 2655/2988/2655 2654/2987/2654 2646/2977/2645 -f 2648/2964/2634 2656/2981/2649 2655/2988/2655 2647/2979/2647 -f 2649/2980/2648 2657/2989/2656 2664/2990/2657 2656/2981/2649 -f 2650/2982/2650 2658/2991/2658 2657/2992/2656 2649/2983/2648 -f 2651/2984/2651 2659/2993/2659 2658/2991/2658 2650/2982/2650 -f 2652/2985/2652 2660/2994/2660 2659/2993/2659 2651/2984/2651 -f 2653/2986/2653 2661/2995/2661 2660/2994/2660 2652/2985/2652 -f 2654/2987/2654 2662/2996/2662 2661/2995/2661 2653/2986/2653 -f 2655/2988/2655 2663/2997/2663 2662/2996/2662 2654/2987/2654 -f 2656/2981/2649 2664/2990/2657 2663/2997/2663 2655/2988/2655 -f 2657/2989/2656 2665/2998/2664 2672/2999/2665 2664/2990/2657 -f 2658/2991/2658 2666/3000/2666 2665/3001/2664 2657/2992/2656 -f 2659/2993/2659 2667/3002/2667 2666/3000/2666 2658/2991/2658 -f 2660/2994/2660 2668/3003/2668 2667/3002/2667 2659/2993/2659 -f 2661/2995/2661 2669/3004/2669 2668/3003/2668 2660/2994/2660 -f 2662/2996/2662 2670/3005/2670 2669/3004/2669 2661/2995/2661 -f 2663/2997/2663 2671/3006/2671 2670/3005/2670 2662/2996/2662 -f 2664/2990/2657 2672/2999/2665 2671/3006/2671 2663/2997/2663 -f 2665/2998/2664 2673/3007/2672 2680/3008/2673 2672/2999/2665 -f 2666/3000/2666 2674/3009/2674 2673/3010/2672 2665/3001/2664 -f 2667/3002/2667 2675/3011/2675 2674/3009/2674 2666/3000/2666 -f 2668/3003/2668 2676/3012/2676 2675/3011/2675 2667/3002/2667 -f 2669/3004/2669 2677/3013/2677 2676/3012/2676 2668/3003/2668 -f 2670/3005/2670 2678/3014/2678 2677/3013/2677 2669/3004/2669 -f 2671/3006/2671 2679/3015/2679 2678/3014/2678 2670/3005/2670 -f 2672/2999/2665 2680/3008/2673 2679/3015/2679 2671/3006/2671 -f 2673/3007/2672 2681/3016/2680 2688/3017/2681 2680/3008/2673 -f 2674/3009/2674 2682/3018/2682 2681/3019/2680 2673/3010/2672 -f 2675/3011/2675 2683/3020/2683 2682/3018/2682 2674/3009/2674 -f 2676/3012/2676 2684/3021/2684 2683/3020/2683 2675/3011/2675 -f 2677/3013/2677 2685/3022/2685 2684/3021/2684 2676/3012/2676 -f 2678/3014/2678 2686/3023/2686 2685/3022/2685 2677/3013/2677 -f 2679/3015/2679 2687/3024/2687 2686/3023/2686 2678/3014/2678 -f 2680/3008/2673 2688/3017/2681 2687/3024/2687 2679/3015/2679 -f 2681/3016/2680 2689/3025/2688 2696/3026/2689 2688/3017/2681 -f 2682/3018/2682 2690/3027/2690 2689/3028/2688 2681/3019/2680 -f 2683/3020/2683 2691/3029/2691 2690/3027/2690 2682/3018/2682 -f 2684/3021/2684 2692/3030/2692 2691/3029/2691 2683/3020/2683 -f 2685/3022/2685 2693/3031/2693 2692/3030/2692 2684/3021/2684 -f 2686/3023/2686 2694/3032/2694 2693/3031/2693 2685/3022/2685 -f 2687/3024/2687 2695/3033/2695 2694/3032/2694 2686/3023/2686 -f 2688/3017/2681 2696/3026/2689 2695/3033/2695 2687/3024/2687 -f 2689/3025/2688 2697/3034/2696 2704/3035/2697 2696/3026/2689 -f 2690/3027/2690 2698/3036/2698 2697/3037/2696 2689/3028/2688 -f 2691/3029/2691 2699/3038/2699 2698/3036/2698 2690/3027/2690 -f 2692/3030/2692 2700/3039/2700 2699/3038/2699 2691/3029/2691 -f 2693/3031/2693 2701/3040/2701 2700/3039/2700 2692/3030/2692 -f 2694/3032/2694 2702/3041/2702 2701/3040/2701 2693/3031/2693 -f 2695/3033/2695 2703/3042/2703 2702/3041/2702 2694/3032/2694 -f 2696/3026/2689 2704/3035/2697 2703/3042/2703 2695/3033/2695 -f 2697/3034/2696 2705/3043/2704 2712/3044/2705 2704/3035/2697 -f 2698/3036/2698 2706/3045/2706 2705/3046/2704 2697/3037/2696 -f 2699/3038/2699 2707/3047/2707 2706/3045/2706 2698/3036/2698 -f 2700/3039/2700 2708/3048/2708 2707/3047/2707 2699/3038/2699 -f 2701/3040/2701 2709/3049/2709 2708/3048/2708 2700/3039/2700 -f 2702/3041/2702 2710/3050/2710 2709/3049/2709 2701/3040/2701 -f 2703/3042/2703 2711/3051/2711 2710/3050/2710 2702/3041/2702 -f 2704/3035/2697 2712/3044/2705 2711/3051/2711 2703/3042/2703 -f 2705/3043/2704 2713/3052/2712 2720/3053/2713 2712/3044/2705 -f 2706/3045/2706 2714/3054/2714 2713/3055/2712 2705/3046/2704 -f 2707/3047/2707 2715/3056/2715 2714/3054/2714 2706/3045/2706 -f 2708/3048/2708 2716/3057/2716 2715/3056/2715 2707/3047/2707 -f 2709/3049/2709 2717/3058/2717 2716/3057/2716 2708/3048/2708 -f 2710/3050/2710 2718/3059/2718 2717/3058/2717 2709/3049/2709 -f 2711/3051/2711 2719/3060/2719 2718/3059/2718 2710/3050/2710 -f 2712/3044/2705 2720/3053/2713 2719/3060/2719 2711/3051/2711 -f 2713/3052/2712 2721/3061/2720 2728/3062/2721 2720/3053/2713 -f 2714/3054/2714 2722/3063/2722 2721/3064/2720 2713/3055/2712 -f 2715/3056/2715 2723/3065/2723 2722/3063/2722 2714/3054/2714 -f 2716/3057/2716 2724/3066/2724 2723/3065/2723 2715/3056/2715 -f 2717/3058/2717 2725/3067/2725 2724/3066/2724 2716/3057/2716 -f 2718/3059/2718 2726/3068/2726 2725/3067/2725 2717/3058/2717 -f 2719/3060/2719 2727/3069/2727 2726/3068/2726 2718/3059/2718 -f 2720/3053/2713 2728/3062/2721 2727/3069/2727 2719/3060/2719 -f 2721/3061/2720 2729/3070/2728 2736/3071/2729 2728/3062/2721 -f 2722/3063/2722 2730/3072/2730 2729/3073/2728 2721/3064/2720 -f 2723/3065/2723 2731/3074/2731 2730/3072/2730 2722/3063/2722 -f 2724/3066/2724 2732/3075/2732 2731/3074/2731 2723/3065/2723 -f 2725/3067/2725 2733/3076/2733 2732/3075/2732 2724/3066/2724 -f 2726/3068/2726 2734/3077/2734 2733/3076/2733 2725/3067/2725 -f 2727/3069/2727 2735/3078/2735 2734/3077/2734 2726/3068/2726 -f 2728/3062/2721 2736/3071/2729 2735/3078/2735 2727/3069/2727 -f 2729/3070/2728 2737/3079/2736 2744/3080/2737 2736/3071/2729 -f 2730/3072/2730 2738/3081/2738 2737/3082/2736 2729/3073/2728 -f 2731/3074/2731 2739/3083/2739 2738/3081/2738 2730/3072/2730 -f 2732/3075/2732 2740/3084/2740 2739/3083/2739 2731/3074/2731 -f 2733/3076/2733 2741/3085/2741 2740/3084/2740 2732/3075/2732 -f 2734/3077/2734 2742/3086/2742 2741/3085/2741 2733/3076/2733 -f 2735/3078/2735 2743/3087/2743 2742/3086/2742 2734/3077/2734 -f 2736/3071/2729 2744/3080/2737 2743/3087/2743 2735/3078/2735 -f 2737/3079/2736 2745/3088/2744 2752/3089/2745 2744/3080/2737 -f 2738/3081/2738 2746/3090/2746 2745/3091/2744 2737/3082/2736 -f 2739/3083/2739 2747/3092/2747 2746/3090/2746 2738/3081/2738 -f 2740/3084/2740 2748/3093/2748 2747/3092/2747 2739/3083/2739 -f 2741/3085/2741 2749/3094/2749 2748/3093/2748 2740/3084/2740 -f 2742/3086/2742 2750/3095/2750 2749/3094/2749 2741/3085/2741 -f 2743/3087/2743 2751/3096/2751 2750/3095/2750 2742/3086/2742 -f 2744/3080/2737 2752/3089/2745 2751/3096/2751 2743/3087/2743 -f 2745/3088/2744 2753/3097/2752 2760/3098/2753 2752/3089/2745 -f 2746/3090/2746 2754/3099/2754 2753/3100/2752 2745/3091/2744 -f 2747/3092/2747 2755/3101/2755 2754/3099/2754 2746/3090/2746 -f 2748/3093/2748 2756/3102/2756 2755/3101/2755 2747/3092/2747 -f 2749/3094/2749 2757/3103/2757 2756/3102/2756 2748/3093/2748 -f 2750/3095/2750 2758/3104/2758 2757/3103/2757 2749/3094/2749 -f 2751/3096/2751 2759/3105/2759 2758/3104/2758 2750/3095/2750 -f 2752/3089/2745 2760/3098/2753 2759/3105/2759 2751/3096/2751 -f 2761/3106/2760 2769/3107/2761 2776/3108/2762 2768/3109/2763 -f 2762/3110/2764 2770/3111/2765 2769/3112/2761 2761/3113/2760 -f 2763/3114/2766 2771/3115/2767 2770/3111/2765 2762/3110/2764 -f 2764/3116/2768 2772/3117/2769 2771/3115/2767 2763/3114/2766 -f 2765/3118/2770 2773/3119/2771 2772/3117/2769 2764/3116/2768 -f 2766/3120/2772 2774/3121/2773 2773/3119/2771 2765/3118/2770 -f 2767/3122/2774 2775/3123/2775 2774/3121/2773 2766/3120/2772 -f 2768/3109/2763 2776/3108/2762 2775/3123/2775 2767/3122/2774 -f 2769/3107/2761 2777/3124/2776 2784/3125/2777 2776/3108/2762 -f 2770/3111/2765 2778/3126/2778 2777/3127/2776 2769/3112/2761 -f 2771/3115/2767 2779/3128/2779 2778/3126/2778 2770/3111/2765 -f 2772/3117/2769 2780/3129/2780 2779/3128/2779 2771/3115/2767 -f 2773/3119/2771 2781/3130/2781 2780/3129/2780 2772/3117/2769 -f 2774/3121/2773 2782/3131/2782 2781/3130/2781 2773/3119/2771 -f 2775/3123/2775 2783/3132/2783 2782/3131/2782 2774/3121/2773 -f 2776/3108/2762 2784/3125/2777 2783/3132/2783 2775/3123/2775 -f 2777/3124/2776 2785/3133/2784 2792/3134/2785 2784/3125/2777 -f 2778/3126/2778 2786/3135/2786 2785/3136/2784 2777/3127/2776 -f 2779/3128/2779 2787/3137/2787 2786/3135/2786 2778/3126/2778 -f 2780/3129/2780 2788/3138/2788 2787/3137/2787 2779/3128/2779 -f 2781/3130/2781 2789/3139/2789 2788/3138/2788 2780/3129/2780 -f 2782/3131/2782 2790/3140/2790 2789/3139/2789 2781/3130/2781 -f 2783/3132/2783 2791/3141/2791 2790/3140/2790 2782/3131/2782 -f 2784/3125/2777 2792/3134/2785 2791/3141/2791 2783/3132/2783 -f 2785/3133/2784 2793/3142/2792 2800/3143/2793 2792/3134/2785 -f 2786/3135/2786 2794/3144/2794 2793/3145/2792 2785/3136/2784 -f 2787/3137/2787 2795/3146/2795 2794/3144/2794 2786/3135/2786 -f 2788/3138/2788 2796/3147/2796 2795/3146/2795 2787/3137/2787 -f 2789/3139/2789 2797/3148/2797 2796/3147/2796 2788/3138/2788 -f 2790/3140/2790 2798/3149/2798 2797/3148/2797 2789/3139/2789 -f 2791/3141/2791 2799/3150/2799 2798/3149/2798 2790/3140/2790 -f 2792/3134/2785 2800/3143/2793 2799/3150/2799 2791/3141/2791 -f 2793/3142/2792 2801/3151/2800 2808/3152/2801 2800/3143/2793 -f 2794/3144/2794 2802/3153/2802 2801/3154/2800 2793/3145/2792 -f 2795/3146/2795 2803/3155/2803 2802/3153/2802 2794/3144/2794 -f 2796/3147/2796 2804/3156/2804 2803/3155/2803 2795/3146/2795 -f 2797/3148/2797 2805/3157/2805 2804/3156/2804 2796/3147/2796 -f 2798/3149/2798 2806/3158/2806 2805/3157/2805 2797/3148/2797 -f 2799/3150/2799 2807/3159/2807 2806/3158/2806 2798/3149/2798 -f 2800/3143/2793 2808/3152/2801 2807/3159/2807 2799/3150/2799 -f 2801/3151/2800 2809/3160/2808 2816/3161/2809 2808/3152/2801 -f 2802/3153/2802 2810/3162/2810 2809/3163/2808 2801/3154/2800 -f 2803/3155/2803 2811/3164/2811 2810/3162/2810 2802/3153/2802 -f 2804/3156/2804 2812/3165/2812 2811/3164/2811 2803/3155/2803 -f 2805/3157/2805 2813/3166/2813 2812/3165/2812 2804/3156/2804 -f 2806/3158/2806 2814/3167/2814 2813/3166/2813 2805/3157/2805 -f 2807/3159/2807 2815/3168/2815 2814/3167/2814 2806/3158/2806 -f 2808/3152/2801 2816/3161/2809 2815/3168/2815 2807/3159/2807 -f 2809/3160/2808 2817/3169/2816 2824/3170/2817 2816/3161/2809 -f 2810/3162/2810 2818/3171/2818 2817/3172/2816 2809/3163/2808 -f 2811/3164/2811 2819/3173/2819 2818/3171/2818 2810/3162/2810 -f 2812/3165/2812 2820/3174/2820 2819/3173/2819 2811/3164/2811 -f 2813/3166/2813 2821/3175/2821 2820/3174/2820 2812/3165/2812 -f 2814/3167/2814 2822/3176/2822 2821/3175/2821 2813/3166/2813 -f 2815/3168/2815 2823/3177/2823 2822/3176/2822 2814/3167/2814 -f 2816/3161/2809 2824/3170/2817 2823/3177/2823 2815/3168/2815 -f 2817/3169/2816 2825/3178/2824 2832/3179/2825 2824/3170/2817 -f 2818/3171/2818 2826/3180/2826 2825/3181/2824 2817/3172/2816 -f 2819/3173/2819 2827/3182/2827 2826/3180/2826 2818/3171/2818 -f 2820/3174/2820 2828/3183/2828 2827/3182/2827 2819/3173/2819 -f 2821/3175/2821 2829/3184/2829 2828/3183/2828 2820/3174/2820 -f 2822/3176/2822 2830/3185/2830 2829/3184/2829 2821/3175/2821 -f 2823/3177/2823 2831/3186/2831 2830/3185/2830 2822/3176/2822 -f 2824/3170/2817 2832/3179/2825 2831/3186/2831 2823/3177/2823 -f 2825/3178/2824 2833/3187/2832 2840/3188/2833 2832/3179/2825 -f 2826/3180/2826 2834/3189/2834 2833/3190/2832 2825/3181/2824 -f 2827/3182/2827 2835/3191/2835 2834/3189/2834 2826/3180/2826 -f 2828/3183/2828 2836/3192/2836 2835/3191/2835 2827/3182/2827 -f 2829/3184/2829 2837/3193/2837 2836/3192/2836 2828/3183/2828 -f 2830/3185/2830 2838/3194/2838 2837/3193/2837 2829/3184/2829 -f 2831/3186/2831 2839/3195/2839 2838/3194/2838 2830/3185/2830 -f 2832/3179/2825 2840/3188/2833 2839/3195/2839 2831/3186/2831 -f 2841/3196/2840 2849/3197/2841 2856/3198/2842 2848/3199/2843 -f 2842/3200/2844 2850/3201/2845 2849/3202/2841 2841/3203/2840 -f 2843/3204/2846 2851/3205/2847 2850/3201/2845 2842/3200/2844 -f 2844/3206/2848 2852/3207/2849 2851/3205/2847 2843/3204/2846 -f 2845/3208/2850 2853/3209/2851 2852/3207/2849 2844/3206/2848 -f 2846/3210/2852 2854/3211/2853 2853/3209/2851 2845/3208/2850 -f 2847/3212/2854 2855/3213/2855 2854/3211/2853 2846/3210/2852 -f 2848/3199/2843 2856/3198/2842 2855/3213/2855 2847/3212/2854 -f 2849/3197/2841 2857/3214/2856 2864/3215/2857 2856/3198/2842 -f 2850/3201/2845 2858/3216/2858 2857/3217/2856 2849/3202/2841 -f 2851/3205/2847 2859/3218/2859 2858/3216/2858 2850/3201/2845 -f 2852/3207/2849 2860/3219/2860 2859/3218/2859 2851/3205/2847 -f 2853/3209/2851 2861/3220/2861 2860/3219/2860 2852/3207/2849 -f 2854/3211/2853 2862/3221/2862 2861/3220/2861 2853/3209/2851 -f 2855/3213/2855 2863/3222/2863 2862/3221/2862 2854/3211/2853 -f 2856/3198/2842 2864/3215/2857 2863/3222/2863 2855/3213/2855 -f 2857/3214/2856 2865/3223/2864 2872/3224/2865 2864/3215/2857 -f 2858/3216/2858 2866/3225/2866 2865/3226/2864 2857/3217/2856 -f 2859/3218/2859 2867/3227/2867 2866/3225/2866 2858/3216/2858 -f 2860/3219/2860 2868/3228/2868 2867/3227/2867 2859/3218/2859 -f 2861/3220/2861 2869/3229/2869 2868/3228/2868 2860/3219/2860 -f 2862/3221/2862 2870/3230/2870 2869/3229/2869 2861/3220/2861 -f 2863/3222/2863 2871/3231/2871 2870/3230/2870 2862/3221/2862 -f 2864/3215/2857 2872/3224/2865 2871/3231/2871 2863/3222/2863 -f 2865/3223/2864 2873/3232/2872 2880/3233/2873 2872/3224/2865 -f 2866/3225/2866 2874/3234/2874 2873/3235/2872 2865/3226/2864 -f 2867/3227/2867 2875/3236/2875 2874/3234/2874 2866/3225/2866 -f 2868/3228/2868 2876/3237/2876 2875/3236/2875 2867/3227/2867 -f 2869/3229/2869 2877/3238/2877 2876/3237/2876 2868/3228/2868 -f 2870/3230/2870 2878/3239/2878 2877/3238/2877 2869/3229/2869 -f 2871/3231/2871 2879/3240/2879 2878/3239/2878 2870/3230/2870 -f 2872/3224/2865 2880/3233/2873 2879/3240/2879 2871/3231/2871 -f 2873/3232/2872 2881/3241/2880 2888/3242/2881 2880/3233/2873 -f 2874/3234/2874 2882/3243/2882 2881/3244/2880 2873/3235/2872 -f 2875/3236/2875 2883/3245/2883 2882/3243/2882 2874/3234/2874 -f 2876/3237/2876 2884/3246/2884 2883/3245/2883 2875/3236/2875 -f 2877/3238/2877 2885/3247/2885 2884/3246/2884 2876/3237/2876 -f 2878/3239/2878 2886/3248/2886 2885/3247/2885 2877/3238/2877 -f 2879/3240/2879 2887/3249/2887 2886/3248/2886 2878/3239/2878 -f 2880/3233/2873 2888/3242/2881 2887/3249/2887 2879/3240/2879 -f 2881/3241/2880 2889/3250/2888 2896/3251/2889 2888/3242/2881 -f 2882/3243/2882 2890/3252/2890 2889/3253/2888 2881/3244/2880 -f 2883/3245/2883 2891/3254/2891 2890/3252/2890 2882/3243/2882 -f 2884/3246/2884 2892/3255/2892 2891/3254/2891 2883/3245/2883 -f 2885/3247/2885 2893/3256/2893 2892/3255/2892 2884/3246/2884 -f 2886/3248/2886 2894/3257/2894 2893/3256/2893 2885/3247/2885 -f 2887/3249/2887 2895/3258/2895 2894/3257/2894 2886/3248/2886 -f 2888/3242/2881 2896/3251/2889 2895/3258/2895 2887/3249/2887 -f 2897/3259/2896 2905/3260/2897 2912/3261/2898 2904/3262/2899 -f 2898/3263/2900 2906/3264/2901 2905/3265/2897 2897/3266/2896 -f 2899/3267/2902 2907/3268/2903 2906/3264/2901 2898/3263/2900 -f 2900/3269/2904 2908/3270/2905 2907/3268/2903 2899/3267/2902 -f 2901/3271/2906 2909/3272/2907 2908/3270/2905 2900/3269/2904 -f 2902/3273/2908 2910/3274/2909 2909/3272/2907 2901/3271/2906 -f 2903/3275/2910 2911/3276/2911 2910/3274/2909 2902/3273/2908 -f 2904/3262/2899 2912/3261/2898 2911/3276/2911 2903/3275/2910 -f 2905/3260/2897 2913/3277/2912 2920/3278/2913 2912/3261/2898 -f 2906/3264/2901 2914/3279/2914 2913/3280/2912 2905/3265/2897 -f 2907/3268/2903 2915/3281/2915 2914/3279/2914 2906/3264/2901 -f 2908/3270/2905 2916/3282/2916 2915/3281/2915 2907/3268/2903 -f 2909/3272/2907 2917/3283/2917 2916/3282/2916 2908/3270/2905 -f 2910/3274/2909 2918/3284/2918 2917/3283/2917 2909/3272/2907 -f 2911/3276/2911 2919/3285/2919 2918/3284/2918 2910/3274/2909 -f 2912/3261/2898 2920/3278/2913 2919/3285/2919 2911/3276/2911 -f 2913/3277/2912 2921/3286/2920 2928/3287/2921 2920/3278/2913 -f 2914/3279/2914 2922/3288/2922 2921/3289/2920 2913/3280/2912 -f 2915/3281/2915 2923/3290/2923 2922/3288/2922 2914/3279/2914 -f 2916/3282/2916 2924/3291/2924 2923/3290/2923 2915/3281/2915 -f 2917/3283/2917 2925/3292/2925 2924/3291/2924 2916/3282/2916 -f 2918/3284/2918 2926/3293/2926 2925/3292/2925 2917/3283/2917 -f 2919/3285/2919 2927/3294/2927 2926/3293/2926 2918/3284/2918 -f 2920/3278/2913 2928/3287/2921 2927/3294/2927 2919/3285/2919 -f 2921/3286/2920 2929/3295/2928 2936/3296/2929 2928/3287/2921 -f 2922/3288/2922 2930/3297/2930 2929/3298/2928 2921/3289/2920 -f 2923/3290/2923 2931/3299/2931 2930/3297/2930 2922/3288/2922 -f 2924/3291/2924 2932/3300/2932 2931/3299/2931 2923/3290/2923 -f 2925/3292/2925 2933/3301/2933 2932/3300/2932 2924/3291/2924 -f 2926/3293/2926 2934/3302/2934 2933/3301/2933 2925/3292/2925 -f 2927/3294/2927 2935/3303/2935 2934/3302/2934 2926/3293/2926 -f 2928/3287/2921 2936/3296/2929 2935/3303/2935 2927/3294/2927 -f 2929/3295/2928 2937/3304/2936 2944/3305/2937 2936/3296/2929 -f 2930/3297/2930 2938/3306/2938 2937/3307/2936 2929/3298/2928 -f 2931/3299/2931 2939/3308/2939 2938/3306/2938 2930/3297/2930 -f 2932/3300/2932 2940/3309/2940 2939/3308/2939 2931/3299/2931 -f 2933/3301/2933 2941/3310/2941 2940/3309/2940 2932/3300/2932 -f 2934/3302/2934 2942/3311/2942 2941/3310/2941 2933/3301/2933 -f 2935/3303/2935 2943/3312/2943 2942/3311/2942 2934/3302/2934 -f 2936/3296/2929 2944/3305/2937 2943/3312/2943 2935/3303/2935 -f 2937/3304/2936 2945/3313/2944 2952/3314/2945 2944/3305/2937 -f 2938/3306/2938 2946/3315/2946 2945/3316/2944 2937/3307/2936 -f 2939/3308/2939 2947/3317/2947 2946/3315/2946 2938/3306/2938 -f 2940/3309/2940 2948/3318/2948 2947/3317/2947 2939/3308/2939 -f 2941/3310/2941 2949/3319/2949 2948/3318/2948 2940/3309/2940 -f 2942/3311/2942 2950/3320/2950 2949/3319/2949 2941/3310/2941 -f 2943/3312/2943 2951/3321/2951 2950/3320/2950 2942/3311/2942 -f 2944/3305/2937 2952/3314/2945 2951/3321/2951 2943/3312/2943 -f 2945/3313/2944 2953/3322/2952 2960/3323/2953 2952/3314/2945 -f 2946/3315/2946 2954/3324/2954 2953/3325/2952 2945/3316/2944 -f 2947/3317/2947 2955/3326/2955 2954/3324/2954 2946/3315/2946 -f 2948/3318/2948 2956/3327/2956 2955/3326/2955 2947/3317/2947 -f 2949/3319/2949 2957/3328/2957 2956/3327/2956 2948/3318/2948 -f 2950/3320/2950 2958/3329/2958 2957/3328/2957 2949/3319/2949 -f 2951/3321/2951 2959/3330/2959 2958/3329/2958 2950/3320/2950 -f 2952/3314/2945 2960/3323/2953 2959/3330/2959 2951/3321/2951 -f 2953/3322/2952 2961/3331/2960 2968/3332/2961 2960/3323/2953 -f 2954/3324/2954 2962/3333/2962 2961/3334/2960 2953/3325/2952 -f 2955/3326/2955 2963/3335/2963 2962/3333/2962 2954/3324/2954 -f 2956/3327/2956 2964/3336/2964 2963/3335/2963 2955/3326/2955 -f 2957/3328/2957 2965/3337/2965 2964/3336/2964 2956/3327/2956 -f 2958/3329/2958 2966/3338/2966 2965/3337/2965 2957/3328/2957 -f 2959/3330/2959 2967/3339/2967 2966/3338/2966 2958/3329/2958 -f 2960/3323/2953 2968/3332/2961 2967/3339/2967 2959/3330/2959 -f 2961/3331/2960 2969/3340/2968 2976/3341/2969 2968/3332/2961 -f 2962/3333/2962 2970/3342/2970 2969/3343/2968 2961/3334/2960 -f 2963/3335/2963 2971/3344/2971 2970/3342/2970 2962/3333/2962 -f 2964/3336/2964 2972/3345/2972 2971/3344/2971 2963/3335/2963 -f 2965/3337/2965 2973/3346/2973 2972/3345/2972 2964/3336/2964 -f 2966/3338/2966 2974/3347/2974 2973/3346/2973 2965/3337/2965 -f 2967/3339/2967 2975/3348/2975 2974/3347/2974 2966/3338/2966 -f 2968/3332/2961 2976/3341/2969 2975/3348/2975 2967/3339/2967 -f 2969/3340/2968 2977/3349/2976 2984/3350/2977 2976/3341/2969 -f 2970/3342/2970 2978/3351/2978 2977/3352/2976 2969/3343/2968 -f 2971/3344/2971 2979/3353/2979 2978/3351/2978 2970/3342/2970 -f 2972/3345/2972 2980/3354/2980 2979/3353/2979 2971/3344/2971 -f 2973/3346/2973 2981/3355/2981 2980/3354/2980 2972/3345/2972 -f 2974/3347/2974 2982/3356/2982 2981/3355/2981 2973/3346/2973 -f 2975/3348/2975 2983/3357/2983 2982/3356/2982 2974/3347/2974 -f 2976/3341/2969 2984/3350/2977 2983/3357/2983 2975/3348/2975 -f 2977/3349/2976 2985/3358/2984 2992/3359/2985 2984/3350/2977 -f 2978/3351/2978 2986/3360/2986 2985/3361/2984 2977/3352/2976 -f 2979/3353/2979 2987/3362/2987 2986/3360/2986 2978/3351/2978 -f 2980/3354/2980 2988/3363/2988 2987/3362/2987 2979/3353/2979 -f 2981/3355/2981 2989/3364/2989 2988/3363/2988 2980/3354/2980 -f 2982/3356/2982 2990/3365/2990 2989/3364/2989 2981/3355/2981 -f 2983/3357/2983 2991/3366/2991 2990/3365/2990 2982/3356/2982 -f 2984/3350/2977 2992/3359/2985 2991/3366/2991 2983/3357/2983 -f 2985/3358/2984 2993/3367/2992 3000/3368/2993 2992/3359/2985 -f 2986/3360/2986 2994/3369/2994 2993/3370/2992 2985/3361/2984 -f 2987/3362/2987 2995/3371/2995 2994/3369/2994 2986/3360/2986 -f 2988/3363/2988 2996/3372/2996 2995/3371/2995 2987/3362/2987 -f 2989/3364/2989 2997/3373/2997 2996/3372/2996 2988/3363/2988 -f 2990/3365/2990 2998/3374/2998 2997/3373/2997 2989/3364/2989 -f 2991/3366/2991 2999/3375/2999 2998/3374/2998 2990/3365/2990 -f 2992/3359/2985 3000/3368/2993 2999/3375/2999 2991/3366/2991 -f 3001/3376/3000 3009/3377/3001 3016/3378/3002 3008/3379/3003 -f 3002/3380/3004 3010/3381/3005 3009/3382/3001 3001/3383/3000 -f 3003/3384/3006 3011/3385/3007 3010/3381/3005 3002/3380/3004 -f 3004/3386/3008 3012/3387/3009 3011/3385/3007 3003/3384/3006 -f 3005/3388/3010 3013/3389/3011 3012/3387/3009 3004/3386/3008 -f 3006/3390/3012 3014/3391/3013 3013/3389/3011 3005/3388/3010 -f 3007/3392/3014 3015/3393/3015 3014/3391/3013 3006/3390/3012 -f 3008/3379/3003 3016/3378/3002 3015/3393/3015 3007/3392/3014 -f 3009/3377/3001 3017/3394/3016 3024/3395/3017 3016/3378/3002 -f 3010/3381/3005 3018/3396/3018 3017/3397/3016 3009/3382/3001 -f 3011/3385/3007 3019/3398/3019 3018/3396/3018 3010/3381/3005 -f 3012/3387/3009 3020/3399/3020 3019/3398/3019 3011/3385/3007 -f 3013/3389/3011 3021/3400/3021 3020/3399/3020 3012/3387/3009 -f 3014/3391/3013 3022/3401/3022 3021/3400/3021 3013/3389/3011 -f 3015/3393/3015 3023/3402/3023 3022/3401/3022 3014/3391/3013 -f 3016/3378/3002 3024/3395/3017 3023/3402/3023 3015/3393/3015 -f 3017/3394/3016 3025/3403/3024 3032/3404/3025 3024/3395/3017 -f 3018/3396/3018 3026/3405/3026 3025/3406/3024 3017/3397/3016 -f 3019/3398/3019 3027/3407/3027 3026/3405/3026 3018/3396/3018 -f 3020/3399/3020 3028/3408/3028 3027/3407/3027 3019/3398/3019 -f 3021/3400/3021 3029/3409/3029 3028/3408/3028 3020/3399/3020 -f 3022/3401/3022 3030/3410/3030 3029/3409/3029 3021/3400/3021 -f 3023/3402/3023 3031/3411/3031 3030/3410/3030 3022/3401/3022 -f 3024/3395/3017 3032/3404/3025 3031/3411/3031 3023/3402/3023 -f 3025/3403/3024 3033/3412/3032 3040/3413/3033 3032/3404/3025 -f 3026/3405/3026 3034/3414/3034 3033/3415/3032 3025/3406/3024 -f 3027/3407/3027 3035/3416/3035 3034/3414/3034 3026/3405/3026 -f 3028/3408/3028 3036/3417/3036 3035/3416/3035 3027/3407/3027 -f 3029/3409/3029 3037/3418/3037 3036/3417/3036 3028/3408/3028 -f 3030/3410/3030 3038/3419/3038 3037/3418/3037 3029/3409/3029 -f 3031/3411/3031 3039/3420/3039 3038/3419/3038 3030/3410/3030 -f 3032/3404/3025 3040/3413/3033 3039/3420/3039 3031/3411/3031 -f 3033/3412/3032 3041/3421/3040 3048/3422/3041 3040/3413/3033 -f 3034/3414/3034 3042/3423/3042 3041/3424/3040 3033/3415/3032 -f 3035/3416/3035 3043/3425/3043 3042/3423/3042 3034/3414/3034 -f 3036/3417/3036 3044/3426/3044 3043/3425/3043 3035/3416/3035 -f 3037/3418/3037 3045/3427/3045 3044/3426/3044 3036/3417/3036 -f 3038/3419/3038 3046/3428/3046 3045/3427/3045 3037/3418/3037 -f 3039/3420/3039 3047/3429/3047 3046/3428/3046 3038/3419/3038 -f 3040/3413/3033 3048/3422/3041 3047/3429/3047 3039/3420/3039 -f 3041/3421/3040 3049/3430/3048 3056/3431/3049 3048/3422/3041 -f 3042/3423/3042 3050/3432/3050 3049/3433/3048 3041/3424/3040 -f 3043/3425/3043 3051/3434/3051 3050/3432/3050 3042/3423/3042 -f 3044/3426/3044 3052/3435/3052 3051/3434/3051 3043/3425/3043 -f 3045/3427/3045 3053/3436/3053 3052/3435/3052 3044/3426/3044 -f 3046/3428/3046 3054/3437/3054 3053/3436/3053 3045/3427/3045 -f 3047/3429/3047 3055/3438/3055 3054/3437/3054 3046/3428/3046 -f 3048/3422/3041 3056/3431/3049 3055/3438/3055 3047/3429/3047 -f 3057/3439/3056 3065/3440/3056 3072/3441/3057 3064/3442/3057 -f 3058/3443/3058 3066/3444/3058 3065/3445/3056 3057/3446/3056 -f 3059/3447/3059 3067/3448/3059 3066/3444/3058 3058/3443/3058 -f 3060/3449/3060 3068/3450/3060 3067/3448/3059 3059/3447/3059 -f 3061/3451/3061 3069/3452/3061 3068/3450/3060 3060/3449/3060 -f 3062/3453/3062 3070/3454/3062 3069/3452/3061 3061/3451/3061 -f 3063/3455/3063 3071/3456/3063 3070/3454/3062 3062/3453/3062 -f 3064/3442/3057 3072/3441/3057 3071/3456/3063 3063/3455/3063 -f 3065/3440/3056 3073/3457/3064 3080/3458/3065 3072/3441/3057 -f 3066/3444/3058 3074/3459/3058 3073/3460/3064 3065/3445/3056 -f 3067/3448/3059 3075/3461/3066 3074/3459/3058 3066/3444/3058 -f 3068/3450/3060 3076/3462/3067 3075/3461/3066 3067/3448/3059 -f 3069/3452/3061 3077/3463/3068 3076/3462/3067 3068/3450/3060 -f 3070/3454/3062 3078/3464/3069 3077/3463/3068 3069/3452/3061 -f 3071/3456/3063 3079/3465/3070 3078/3464/3069 3070/3454/3062 -f 3072/3441/3057 3080/3458/3065 3079/3465/3070 3071/3456/3063 -f 3073/3457/3064 3081/3466/3071 3088/3467/3072 3080/3458/3065 -f 3074/3459/3058 3082/3468/3073 3081/3469/3071 3073/3460/3064 -f 3075/3461/3066 3083/3470/3066 3082/3468/3073 3074/3459/3058 -f 3076/3462/3067 3084/3471/3067 3083/3470/3066 3075/3461/3066 -f 3077/3463/3068 3085/3472/3068 3084/3471/3067 3076/3462/3067 -f 3078/3464/3069 3086/3473/3074 3085/3472/3068 3077/3463/3068 -f 3079/3465/3070 3087/3474/3070 3086/3473/3074 3078/3464/3069 -f 3080/3458/3065 3088/3467/3072 3087/3474/3070 3079/3465/3070 -f 3089/3475/3075 3097/3476/3076 3104/3477/3077 3096/3478/3078 -f 3090/3479/3079 3098/3480/3080 3097/3481/3076 3089/3482/3075 -f 3091/3483/3081 3099/3484/3082 3098/3480/3080 3090/3479/3079 -f 3092/3485/3083 3100/3486/3084 3099/3484/3082 3091/3483/3081 -f 3093/3487/3085 3101/3488/3086 3100/3486/3084 3092/3485/3083 -f 3094/3489/3087 3102/3490/3088 3101/3488/3086 3093/3487/3085 -f 3095/3491/3089 3103/3492/3090 3102/3490/3088 3094/3489/3087 -f 3096/3478/3078 3104/3477/3077 3103/3492/3090 3095/3491/3089 -f 3097/3476/3076 3105/3493/3091 3112/3494/3092 3104/3477/3077 -f 3098/3480/3080 3106/3495/3093 3105/3496/3091 3097/3481/3076 -f 3099/3484/3082 3107/3497/3094 3106/3495/3093 3098/3480/3080 -f 3100/3486/3084 3108/3498/3095 3107/3497/3094 3099/3484/3082 -f 3101/3488/3086 3109/3499/3096 3108/3498/3095 3100/3486/3084 -f 3102/3490/3088 3110/3500/3097 3109/3499/3096 3101/3488/3086 -f 3103/3492/3090 3111/3501/3098 3110/3500/3097 3102/3490/3088 -f 3104/3477/3077 3112/3494/3092 3111/3501/3098 3103/3492/3090 -f 3105/3493/3091 3113/3502/3099 3120/3503/3100 3112/3494/3092 -f 3106/3495/3093 3114/3504/3101 3113/3505/3099 3105/3496/3091 -f 3107/3497/3094 3115/3506/3102 3114/3504/3101 3106/3495/3093 -f 3108/3498/3095 3116/3507/3103 3115/3506/3102 3107/3497/3094 -f 3109/3499/3096 3117/3508/3104 3116/3507/3103 3108/3498/3095 -f 3110/3500/3097 3118/3509/3105 3117/3508/3104 3109/3499/3096 -f 3111/3501/3098 3119/3510/3106 3118/3509/3105 3110/3500/3097 -f 3112/3494/3092 3120/3503/3100 3119/3510/3106 3111/3501/3098 -f 3113/3502/3099 3121/3511/3107 3128/3512/3108 3120/3503/3100 -f 3114/3504/3101 3122/3513/3109 3121/3514/3107 3113/3505/3099 -f 3115/3506/3102 3123/3515/3110 3122/3513/3109 3114/3504/3101 -f 3116/3507/3103 3124/3516/3111 3123/3515/3110 3115/3506/3102 -f 3117/3508/3104 3125/3517/3112 3124/3516/3111 3116/3507/3103 -f 3118/3509/3105 3126/3518/3113 3125/3517/3112 3117/3508/3104 -f 3119/3510/3106 3127/3519/3114 3126/3518/3113 3118/3509/3105 -f 3120/3503/3100 3128/3512/3108 3127/3519/3114 3119/3510/3106 -f 3121/3511/3107 3129/3520/3115 3136/3521/3116 3128/3512/3108 -f 3122/3513/3109 3130/3522/3117 3129/3523/3115 3121/3514/3107 -f 3123/3515/3110 3131/3524/3118 3130/3522/3117 3122/3513/3109 -f 3124/3516/3111 3132/3525/3119 3131/3524/3118 3123/3515/3110 -f 3125/3517/3112 3133/3526/3120 3132/3525/3119 3124/3516/3111 -f 3126/3518/3113 3134/3527/3121 3133/3526/3120 3125/3517/3112 -f 3127/3519/3114 3135/3528/3122 3134/3527/3121 3126/3518/3113 -f 3128/3512/3108 3136/3521/3116 3135/3528/3122 3127/3519/3114 -f 3129/3520/3115 3137/3529/3123 3144/3530/3124 3136/3521/3116 -f 3130/3522/3117 3138/3531/3125 3137/3532/3123 3129/3523/3115 -f 3131/3524/3118 3139/3533/3126 3138/3531/3125 3130/3522/3117 -f 3132/3525/3119 3140/3534/3127 3139/3533/3126 3131/3524/3118 -f 3133/3526/3120 3141/3535/3128 3140/3534/3127 3132/3525/3119 -f 3134/3527/3121 3142/3536/3129 3141/3535/3128 3133/3526/3120 -f 3135/3528/3122 3143/3537/3130 3142/3536/3129 3134/3527/3121 -f 3136/3521/3116 3144/3530/3124 3143/3537/3130 3135/3528/3122 -f 3145/3538/3131 3153/3539/3132 3160/3540/3133 3152/3541/3134 -f 3146/3542/3135 3154/3543/3136 3153/3544/3132 3145/3545/3131 -f 3147/3546/3137 3155/3547/3138 3154/3543/3136 3146/3542/3135 -f 3148/3548/3139 3156/3549/3140 3155/3547/3138 3147/3546/3137 -f 3149/3550/3141 3157/3551/3142 3156/3549/3140 3148/3548/3139 -f 3150/3552/3143 3158/3553/3144 3157/3551/3142 3149/3550/3141 -f 3151/3554/3145 3159/3555/3146 3158/3553/3144 3150/3552/3143 -f 3152/3541/3134 3160/3540/3133 3159/3555/3146 3151/3554/3145 -f 3153/3539/3132 3161/3556/3147 3168/3557/3148 3160/3540/3133 -f 3154/3543/3136 3162/3558/3149 3161/3559/3147 3153/3544/3132 -f 3155/3547/3138 3163/3560/3150 3162/3558/3149 3154/3543/3136 -f 3156/3549/3140 3164/3561/3151 3163/3560/3150 3155/3547/3138 -f 3157/3551/3142 3165/3562/3152 3164/3561/3151 3156/3549/3140 -f 3158/3553/3144 3166/3563/3153 3165/3562/3152 3157/3551/3142 -f 3159/3555/3146 3167/3564/3154 3166/3563/3153 3158/3553/3144 -f 3160/3540/3133 3168/3557/3148 3167/3564/3154 3159/3555/3146 -f 3161/3556/3147 3169/3565/3155 3176/3566/3156 3168/3557/3148 -f 3162/3558/3149 3170/3567/3157 3169/3568/3155 3161/3559/3147 -f 3163/3560/3150 3171/3569/3158 3170/3567/3157 3162/3558/3149 -f 3164/3561/3151 3172/3570/3159 3171/3569/3158 3163/3560/3150 -f 3165/3562/3152 3173/3571/3160 3172/3570/3159 3164/3561/3151 -f 3166/3563/3153 3174/3572/3161 3173/3571/3160 3165/3562/3152 -f 3167/3564/3154 3175/3573/3162 3174/3572/3161 3166/3563/3153 -f 3168/3557/3148 3176/3566/3156 3175/3573/3162 3167/3564/3154 -f 3169/3565/3155 3177/3574/3163 3184/3575/3164 3176/3566/3156 -f 3170/3567/3157 3178/3576/3165 3177/3577/3163 3169/3568/3155 -f 3171/3569/3158 3179/3578/3166 3178/3576/3165 3170/3567/3157 -f 3172/3570/3159 3180/3579/3167 3179/3578/3166 3171/3569/3158 -f 3173/3571/3160 3181/3580/3168 3180/3579/3167 3172/3570/3159 -f 3174/3572/3161 3182/3581/3169 3181/3580/3168 3173/3571/3160 -f 3175/3573/3162 3183/3582/3170 3182/3581/3169 3174/3572/3161 -f 3176/3566/3156 3184/3575/3164 3183/3582/3170 3175/3573/3162 -f 3177/3574/3163 3185/3583/3171 3192/3584/3172 3184/3575/3164 -f 3178/3576/3165 3186/3585/3173 3185/3586/3171 3177/3577/3163 -f 3179/3578/3166 3187/3587/3174 3186/3585/3173 3178/3576/3165 -f 3180/3579/3167 3188/3588/3175 3187/3587/3174 3179/3578/3166 -f 3181/3580/3168 3189/3589/3176 3188/3588/3175 3180/3579/3167 -f 3182/3581/3169 3190/3590/3177 3189/3589/3176 3181/3580/3168 -f 3183/3582/3170 3191/3591/3178 3190/3590/3177 3182/3581/3169 -f 3184/3575/3164 3192/3584/3172 3191/3591/3178 3183/3582/3170 -f 3185/3583/3171 3193/3592/3179 3200/3593/3180 3192/3584/3172 -f 3186/3585/3173 3194/3594/3181 3193/3595/3179 3185/3586/3171 -f 3187/3587/3174 3195/3596/3182 3194/3594/3181 3186/3585/3173 -f 3188/3588/3175 3196/3597/3183 3195/3596/3182 3187/3587/3174 -f 3189/3589/3176 3197/3598/3184 3196/3597/3183 3188/3588/3175 -f 3190/3590/3177 3198/3599/3185 3197/3598/3184 3189/3589/3176 -f 3191/3591/3178 3199/3600/3186 3198/3599/3185 3190/3590/3177 -f 3192/3584/3172 3200/3593/3180 3199/3600/3186 3191/3591/3178 -f 3193/3592/3179 3201/3601/3187 3208/3602/3188 3200/3593/3180 -f 3194/3594/3181 3202/3603/3189 3201/3604/3187 3193/3595/3179 -f 3195/3596/3182 3203/3605/3190 3202/3603/3189 3194/3594/3181 -f 3196/3597/3183 3204/3606/3191 3203/3605/3190 3195/3596/3182 -f 3197/3598/3184 3205/3607/3192 3204/3606/3191 3196/3597/3183 -f 3198/3599/3185 3206/3608/3193 3205/3607/3192 3197/3598/3184 -f 3199/3600/3186 3207/3609/3194 3206/3608/3193 3198/3599/3185 -f 3200/3593/3180 3208/3602/3188 3207/3609/3194 3199/3600/3186 -f 3201/3601/3187 3209/3610/3195 3216/3611/3196 3208/3602/3188 -f 3202/3603/3189 3210/3612/3197 3209/3613/3195 3201/3604/3187 -f 3203/3605/3190 3211/3614/3198 3210/3612/3197 3202/3603/3189 -f 3204/3606/3191 3212/3615/3199 3211/3614/3198 3203/3605/3190 -f 3205/3607/3192 3213/3616/3200 3212/3615/3199 3204/3606/3191 -f 3206/3608/3193 3214/3617/3201 3213/3616/3200 3205/3607/3192 -f 3207/3609/3194 3215/3618/3202 3214/3617/3201 3206/3608/3193 -f 3208/3602/3188 3216/3611/3196 3215/3618/3202 3207/3609/3194 -f 3209/3610/3195 3217/3619/3203 3224/3620/3204 3216/3611/3196 -f 3210/3612/3197 3218/3621/3205 3217/3622/3203 3209/3613/3195 -f 3211/3614/3198 3219/3623/3206 3218/3621/3205 3210/3612/3197 -f 3212/3615/3199 3220/3624/3207 3219/3623/3206 3211/3614/3198 -f 3213/3616/3200 3221/3625/3208 3220/3624/3207 3212/3615/3199 -f 3214/3617/3201 3222/3626/3209 3221/3625/3208 3213/3616/3200 -f 3215/3618/3202 3223/3627/3210 3222/3626/3209 3214/3617/3201 -f 3216/3611/3196 3224/3620/3204 3223/3627/3210 3215/3618/3202 -f 3217/3619/3203 3225/3628/3211 3232/3629/3212 3224/3620/3204 -f 3218/3621/3205 3226/3630/3213 3225/3631/3211 3217/3622/3203 -f 3219/3623/3206 3227/3632/3214 3226/3630/3213 3218/3621/3205 -f 3220/3624/3207 3228/3633/3215 3227/3632/3214 3219/3623/3206 -f 3221/3625/3208 3229/3634/3216 3228/3633/3215 3220/3624/3207 -f 3222/3626/3209 3230/3635/3217 3229/3634/3216 3221/3625/3208 -f 3223/3627/3210 3231/3636/3218 3230/3635/3217 3222/3626/3209 -f 3224/3620/3204 3232/3629/3212 3231/3636/3218 3223/3627/3210 -f 3225/3628/3211 3233/3637/3219 3240/3638/3220 3232/3629/3212 -f 3226/3630/3213 3234/3639/3221 3233/3640/3219 3225/3631/3211 -f 3227/3632/3214 3235/3641/3222 3234/3639/3221 3226/3630/3213 -f 3228/3633/3215 3236/3642/3223 3235/3641/3222 3227/3632/3214 -f 3229/3634/3216 3237/3643/3224 3236/3642/3223 3228/3633/3215 -f 3230/3635/3217 3238/3644/3225 3237/3643/3224 3229/3634/3216 -f 3231/3636/3218 3239/3645/3226 3238/3644/3225 3230/3635/3217 -f 3232/3629/3212 3240/3638/3220 3239/3645/3226 3231/3636/3218 -f 3233/3637/3219 3241/3646/3227 3248/3647/3228 3240/3638/3220 -f 3234/3639/3221 3242/3648/3229 3241/3649/3227 3233/3640/3219 -f 3235/3641/3222 3243/3650/3230 3242/3648/3229 3234/3639/3221 -f 3236/3642/3223 3244/3651/3231 3243/3650/3230 3235/3641/3222 -f 3237/3643/3224 3245/3652/3232 3244/3651/3231 3236/3642/3223 -f 3238/3644/3225 3246/3653/3233 3245/3652/3232 3237/3643/3224 -f 3239/3645/3226 3247/3654/3234 3246/3653/3233 3238/3644/3225 -f 3240/3638/3220 3248/3647/3228 3247/3654/3234 3239/3645/3226 -f 3249/3655/3235 3257/3656/3236 3264/3657/3237 3256/3658/3238 -f 3250/3659/3239 3258/3660/3240 3257/3661/3236 3249/3662/3235 -f 3251/3663/3241 3259/3664/3242 3258/3660/3240 3250/3659/3239 -f 3252/3665/3243 3260/3666/3244 3259/3664/3242 3251/3663/3241 -f 3253/3667/3245 3261/3668/3246 3260/3666/3244 3252/3665/3243 -f 3254/3669/3247 3262/3670/3248 3261/3668/3246 3253/3667/3245 -f 3255/3671/3249 3263/3672/3250 3262/3670/3248 3254/3669/3247 -f 3256/3658/3238 3264/3657/3237 3263/3672/3250 3255/3671/3249 -f 3257/3656/3236 3265/3673/3251 3272/3674/3252 3264/3657/3237 -f 3258/3660/3240 3266/3675/3253 3265/3676/3251 3257/3661/3236 -f 3259/3664/3242 3267/3677/3254 3266/3675/3253 3258/3660/3240 -f 3260/3666/3244 3268/3678/3255 3267/3677/3254 3259/3664/3242 -f 3261/3668/3246 3269/3679/3256 3268/3678/3255 3260/3666/3244 -f 3262/3670/3248 3270/3680/3257 3269/3679/3256 3261/3668/3246 -f 3263/3672/3250 3271/3681/3258 3270/3680/3257 3262/3670/3248 -f 3264/3657/3237 3272/3674/3252 3271/3681/3258 3263/3672/3250 -f 3265/3673/3251 3273/3682/3259 3280/3683/3260 3272/3674/3252 -f 3266/3675/3253 3274/3684/3261 3273/3685/3259 3265/3676/3251 -f 3267/3677/3254 3275/3686/3262 3274/3684/3261 3266/3675/3253 -f 3268/3678/3255 3276/3687/3263 3275/3686/3262 3267/3677/3254 -f 3269/3679/3256 3277/3688/3264 3276/3687/3263 3268/3678/3255 -f 3270/3680/3257 3278/3689/3265 3277/3688/3264 3269/3679/3256 -f 3271/3681/3258 3279/3690/3266 3278/3689/3265 3270/3680/3257 -f 3272/3674/3252 3280/3683/3260 3279/3690/3266 3271/3681/3258 -f 3273/3682/3259 3281/3691/3267 3288/3692/3268 3280/3683/3260 -f 3274/3684/3261 3282/3693/3269 3281/3694/3267 3273/3685/3259 -f 3275/3686/3262 3283/3695/3270 3282/3693/3269 3274/3684/3261 -f 3276/3687/3263 3284/3696/3271 3283/3695/3270 3275/3686/3262 -f 3277/3688/3264 3285/3697/3272 3284/3696/3271 3276/3687/3263 -f 3278/3689/3265 3286/3698/3273 3285/3697/3272 3277/3688/3264 -f 3279/3690/3266 3287/3699/3274 3286/3698/3273 3278/3689/3265 -f 3280/3683/3260 3288/3692/3268 3287/3699/3274 3279/3690/3266 -f 3281/3691/3267 3289/3700/3275 3296/3701/3276 3288/3692/3268 -f 3282/3693/3269 3290/3702/3277 3289/3703/3275 3281/3694/3267 -f 3283/3695/3270 3291/3704/3278 3290/3702/3277 3282/3693/3269 -f 3284/3696/3271 3292/3705/3279 3291/3704/3278 3283/3695/3270 -f 3285/3697/3272 3293/3706/3280 3292/3705/3279 3284/3696/3271 -f 3286/3698/3273 3294/3707/3281 3293/3706/3280 3285/3697/3272 -f 3287/3699/3274 3295/3708/3282 3294/3707/3281 3286/3698/3273 -f 3288/3692/3268 3296/3701/3276 3295/3708/3282 3287/3699/3274 -f 3289/3700/3275 3297/3709/3283 3304/3710/3284 3296/3701/3276 -f 3290/3702/3277 3298/3711/3285 3297/3712/3283 3289/3703/3275 -f 3291/3704/3278 3299/3713/3286 3298/3711/3285 3290/3702/3277 -f 3292/3705/3279 3300/3714/3287 3299/3713/3286 3291/3704/3278 -f 3293/3706/3280 3301/3715/3288 3300/3714/3287 3292/3705/3279 -f 3294/3707/3281 3302/3716/3289 3301/3715/3288 3293/3706/3280 -f 3295/3708/3282 3303/3717/3290 3302/3716/3289 3294/3707/3281 -f 3296/3701/3276 3304/3710/3284 3303/3717/3290 3295/3708/3282 -f 3305/3718/3291 3313/3719/3291 3320/3720/3292 3312/3721/3292 -f 3306/3722/3293 3314/3723/3293 3313/3724/3291 3305/3725/3291 -f 3307/3726/3294 3315/3727/3294 3314/3723/3293 3306/3722/3293 -f 3308/3728/3295 3316/3729/3295 3315/3727/3294 3307/3726/3294 -f 3309/3730/3296 3317/3731/3296 3316/3729/3295 3308/3728/3295 -f 3310/3732/3297 3318/3733/3297 3317/3731/3296 3309/3730/3296 -f 3311/3734/3298 3319/3735/3298 3318/3733/3297 3310/3732/3297 -f 3312/3721/3292 3320/3720/3292 3319/3735/3298 3311/3734/3298 -f 3313/3719/3291 3321/3736/3299 3328/3737/3300 3320/3720/3292 -f 3314/3723/3293 3322/3738/3301 3321/3739/3299 3313/3724/3291 -f 3315/3727/3294 3323/3740/3302 3322/3738/3301 3314/3723/3293 -f 3316/3729/3295 3324/3741/3303 3323/3740/3302 3315/3727/3294 -f 3317/3731/3296 3325/3742/3304 3324/3741/3303 3316/3729/3295 -f 3318/3733/3297 3326/3743/3305 3325/3742/3304 3317/3731/3296 -f 3319/3735/3298 3327/3744/3298 3326/3743/3305 3318/3733/3297 -f 3320/3720/3292 3328/3737/3300 3327/3744/3298 3319/3735/3298 -f 3321/3736/3299 3329/3745/3306 3336/3746/3307 3328/3737/3300 -f 3322/3738/3301 3330/3747/3308 3329/3748/3306 3321/3739/3299 -f 3323/3740/3302 3331/3749/3302 3330/3747/3308 3322/3738/3301 -f 3324/3741/3303 3332/3750/3309 3331/3749/3302 3323/3740/3302 -f 3325/3742/3304 3333/3751/3304 3332/3750/3309 3324/3741/3303 -f 3326/3743/3305 3334/3752/3310 3333/3751/3304 3325/3742/3304 -f 3327/3744/3298 3335/3753/3311 3334/3752/3310 3326/3743/3305 -f 3328/3737/3300 3336/3746/3307 3335/3753/3311 3327/3744/3298 -f 3337/3754/3312 3345/3755/3312 3352/3756/3313 3344/3757/3313 -f 3338/3758/3314 3346/3759/3314 3345/3760/3312 3337/3761/3312 -f 3339/3762/3315 3347/3763/3315 3346/3759/3314 3338/3758/3314 -f 3340/3764/3316 3348/3765/3316 3347/3763/3315 3339/3762/3315 -f 3341/3766/3317 3349/3767/3317 3348/3765/3316 3340/3764/3316 -f 3342/3768/3318 3350/3769/3318 3349/3767/3317 3341/3766/3317 -f 3343/3770/3319 3351/3771/3319 3350/3769/3318 3342/3768/3318 -f 3344/3757/3313 3352/3756/3313 3351/3771/3319 3343/3770/3319 -f 3345/3755/3312 3353/3772/3312 3360/3773/3313 3352/3756/3313 -f 3346/3759/3314 3354/3774/3320 3353/3775/3312 3345/3760/3312 -f 3347/3763/3315 3355/3776/3315 3354/3774/3320 3346/3759/3314 -f 3348/3765/3316 3356/3777/3316 3355/3776/3315 3347/3763/3315 -f 3349/3767/3317 3357/3778/3321 3356/3777/3316 3348/3765/3316 -f 3350/3769/3318 3358/3779/3322 3357/3778/3321 3349/3767/3317 -f 3351/3771/3319 3359/3780/3323 3358/3779/3322 3350/3769/3318 -f 3352/3756/3313 3360/3773/3313 3359/3780/3323 3351/3771/3319 -f 3353/3772/3312 3361/3781/3324 3368/3782/3313 3360/3773/3313 -f 3354/3774/3320 3362/3783/3320 3361/3784/3324 3353/3775/3312 -f 3355/3776/3315 3363/3785/3325 3362/3783/3320 3354/3774/3320 -f 3356/3777/3316 3364/3786/3326 3363/3785/3325 3355/3776/3315 -f 3357/3778/3321 3365/3787/3327 3364/3786/3326 3356/3777/3316 -f 3358/3779/3322 3366/3788/3328 3365/3787/3327 3357/3778/3321 -f 3359/3780/3323 3367/3789/3329 3366/3788/3328 3358/3779/3322 -f 3360/3773/3313 3368/3782/3313 3367/3789/3329 3359/3780/3323 -f 3369/3790/3330 3377/3791/3330 3384/3792/3331 3376/3793/3331 -f 3370/3794/3332 3378/3795/3332 3377/3796/3330 3369/3797/3330 -f 3371/3798/3333 3379/3799/3333 3378/3795/3332 3370/3794/3332 -f 3372/3800/3334 3380/3801/3334 3379/3799/3333 3371/3798/3333 -f 3373/3802/3335 3381/3803/3335 3380/3801/3334 3372/3800/3334 -f 3374/3804/3336 3382/3805/3336 3381/3803/3335 3373/3802/3335 -f 3375/3806/3337 3383/3807/3337 3382/3805/3336 3374/3804/3336 -f 3376/3793/3331 3384/3792/3331 3383/3807/3337 3375/3806/3337 -f 3377/3791/3330 3385/3808/3330 3392/3809/3331 3384/3792/3331 -f 3378/3795/3332 3386/3810/3338 3385/3811/3330 3377/3796/3330 -f 3379/3799/3333 3387/3812/3333 3386/3810/3338 3378/3795/3332 -f 3380/3801/3334 3388/3813/3339 3387/3812/3333 3379/3799/3333 -f 3381/3803/3335 3389/3814/3340 3388/3813/3339 3380/3801/3334 -f 3382/3805/3336 3390/3815/3336 3389/3814/3340 3381/3803/3335 -f 3383/3807/3337 3391/3816/3341 3390/3815/3336 3382/3805/3336 -f 3384/3792/3331 3392/3809/3331 3391/3816/3341 3383/3807/3337 -f 3385/3808/3330 3393/3817/3342 3400/3818/3343 3392/3809/3331 -f 3386/3810/3338 3394/3819/3344 3393/3820/3342 3385/3811/3330 -f 3387/3812/3333 3395/3821/3345 3394/3819/3344 3386/3810/3338 -f 3388/3813/3339 3396/3822/3339 3395/3821/3345 3387/3812/3333 -f 3389/3814/3340 3397/3823/3346 3396/3822/3339 3388/3813/3339 -f 3390/3815/3336 3398/3824/3347 3397/3823/3346 3389/3814/3340 -f 3391/3816/3341 3399/3825/3348 3398/3824/3347 3390/3815/3336 -f 3392/3809/3331 3400/3818/3343 3399/3825/3348 3391/3816/3341 -f 3401/3826/3349 3409/3827/3350 3416/3828/3351 3408/3829/3352 -f 3402/3830/3353 3410/3831/3354 3409/3832/3350 3401/3833/3349 -f 3403/3834/3355 3411/3835/3356 3410/3831/3354 3402/3830/3353 -f 3404/3836/3357 3412/3837/3358 3411/3835/3356 3403/3834/3355 -f 3405/3838/3359 3413/3839/3360 3412/3837/3358 3404/3836/3357 -f 3406/3840/3361 3414/3841/3362 3413/3839/3360 3405/3838/3359 -f 3407/3842/3363 3415/3843/3364 3414/3841/3362 3406/3840/3361 -f 3408/3829/3352 3416/3828/3351 3415/3843/3364 3407/3842/3363 -f 3409/3827/3350 3417/3844/3365 3424/3845/3366 3416/3828/3351 -f 3410/3831/3354 3418/3846/3367 3417/3847/3365 3409/3832/3350 -f 3411/3835/3356 3419/3848/3368 3418/3846/3367 3410/3831/3354 -f 3412/3837/3358 3420/3849/3369 3419/3848/3368 3411/3835/3356 -f 3413/3839/3360 3421/3850/3370 3420/3849/3369 3412/3837/3358 -f 3414/3841/3362 3422/3851/3371 3421/3850/3370 3413/3839/3360 -f 3415/3843/3364 3423/3852/3372 3422/3851/3371 3414/3841/3362 -f 3416/3828/3351 3424/3845/3366 3423/3852/3372 3415/3843/3364 -f 3417/3844/3365 3425/3853/3373 3432/3854/3374 3424/3845/3366 -f 3418/3846/3367 3426/3855/3375 3425/3856/3373 3417/3847/3365 -f 3419/3848/3368 3427/3857/3376 3426/3855/3375 3418/3846/3367 -f 3420/3849/3369 3428/3858/3377 3427/3857/3376 3419/3848/3368 -f 3421/3850/3370 3429/3859/3378 3428/3858/3377 3420/3849/3369 -f 3422/3851/3371 3430/3860/3379 3429/3859/3378 3421/3850/3370 -f 3423/3852/3372 3431/3861/3380 3430/3860/3379 3422/3851/3371 -f 3424/3845/3366 3432/3854/3374 3431/3861/3380 3423/3852/3372 -f 3425/3853/3373 3433/3862/3381 3440/3863/3382 3432/3854/3374 -f 3426/3855/3375 3434/3864/3383 3433/3865/3381 3425/3856/3373 -f 3427/3857/3376 3435/3866/3384 3434/3864/3383 3426/3855/3375 -f 3428/3858/3377 3436/3867/3385 3435/3866/3384 3427/3857/3376 -f 3429/3859/3378 3437/3868/3386 3436/3867/3385 3428/3858/3377 -f 3430/3860/3379 3438/3869/3387 3437/3868/3386 3429/3859/3378 -f 3431/3861/3380 3439/3870/3388 3438/3869/3387 3430/3860/3379 -f 3432/3854/3374 3440/3863/3382 3439/3870/3388 3431/3861/3380 -f 3433/3862/3381 3441/3871/3389 3448/3872/3390 3440/3863/3382 -f 3434/3864/3383 3442/3873/3391 3441/3874/3389 3433/3865/3381 -f 3435/3866/3384 3443/3875/3392 3442/3873/3391 3434/3864/3383 -f 3436/3867/3385 3444/3876/3393 3443/3875/3392 3435/3866/3384 -f 3437/3868/3386 3445/3877/3394 3444/3876/3393 3436/3867/3385 -f 3438/3869/3387 3446/3878/3395 3445/3877/3394 3437/3868/3386 -f 3439/3870/3388 3447/3879/3396 3446/3878/3395 3438/3869/3387 -f 3440/3863/3382 3448/3872/3390 3447/3879/3396 3439/3870/3388 -f 3441/3871/3389 3449/3880/3397 3456/3881/3398 3448/3872/3390 -f 3442/3873/3391 3450/3882/3399 3449/3883/3397 3441/3874/3389 -f 3443/3875/3392 3451/3884/3400 3450/3882/3399 3442/3873/3391 -f 3444/3876/3393 3452/3885/3401 3451/3884/3400 3443/3875/3392 -f 3445/3877/3394 3453/3886/3402 3452/3885/3401 3444/3876/3393 -f 3446/3878/3395 3454/3887/3403 3453/3886/3402 3445/3877/3394 -f 3447/3879/3396 3455/3888/3404 3454/3887/3403 3446/3878/3395 -f 3448/3872/3390 3456/3881/3398 3455/3888/3404 3447/3879/3396 -f 3449/3880/3397 3457/3889/3405 3464/3890/3406 3456/3881/3398 -f 3450/3882/3399 3458/3891/3407 3457/3892/3405 3449/3883/3397 -f 3451/3884/3400 3459/3893/3408 3458/3891/3407 3450/3882/3399 -f 3452/3885/3401 3460/3894/3409 3459/3893/3408 3451/3884/3400 -f 3453/3886/3402 3461/3895/3410 3460/3894/3409 3452/3885/3401 -f 3454/3887/3403 3462/3896/3411 3461/3895/3410 3453/3886/3402 -f 3455/3888/3404 3463/3897/3412 3462/3896/3411 3454/3887/3403 -f 3456/3881/3398 3464/3890/3406 3463/3897/3412 3455/3888/3404 -f 3457/3889/3405 3465/3898/3413 3472/3899/3414 3464/3890/3406 -f 3458/3891/3407 3466/3900/3415 3465/3901/3413 3457/3892/3405 -f 3459/3893/3408 3467/3902/3416 3466/3900/3415 3458/3891/3407 -f 3460/3894/3409 3468/3903/3417 3467/3902/3416 3459/3893/3408 -f 3461/3895/3410 3469/3904/3418 3468/3903/3417 3460/3894/3409 -f 3462/3896/3411 3470/3905/3419 3469/3904/3418 3461/3895/3410 -f 3463/3897/3412 3471/3906/3420 3470/3905/3419 3462/3896/3411 -f 3464/3890/3406 3472/3899/3414 3471/3906/3420 3463/3897/3412 -f 3465/3898/3413 3473/3907/3421 3480/3908/3422 3472/3899/3414 -f 3466/3900/3415 3474/3909/3423 3473/3910/3421 3465/3901/3413 -f 3467/3902/3416 3475/3911/3424 3474/3909/3423 3466/3900/3415 -f 3468/3903/3417 3476/3912/3425 3475/3911/3424 3467/3902/3416 -f 3469/3904/3418 3477/3913/3426 3476/3912/3425 3468/3903/3417 -f 3470/3905/3419 3478/3914/3427 3477/3913/3426 3469/3904/3418 -f 3471/3906/3420 3479/3915/3428 3478/3914/3427 3470/3905/3419 -f 3472/3899/3414 3480/3908/3422 3479/3915/3428 3471/3906/3420 -f 3481/3916/3429 3489/3917/3429 3496/3918/3430 3488/3919/3430 -f 3482/3920/3431 3490/3921/3431 3489/3922/3429 3481/3923/3429 -f 3483/3924/3432 3491/3925/3432 3490/3921/3431 3482/3920/3431 -f 3484/3926/3433 3492/3927/3433 3491/3925/3432 3483/3924/3432 -f 3485/3928/3434 3493/3929/3434 3492/3927/3433 3484/3926/3433 -f 3486/3930/3435 3494/3931/3435 3493/3929/3434 3485/3928/3434 -f 3487/3932/3436 3495/3933/3437 3494/3931/3435 3486/3930/3435 -f 3488/3919/3430 3496/3918/3430 3495/3933/3437 3487/3932/3436 -f 3489/3917/3429 3497/3934/3438 3504/3935/3439 3496/3918/3430 -f 3490/3921/3431 3498/3936/3431 3497/3937/3438 3489/3922/3429 -f 3491/3925/3432 3499/3938/3432 3498/3936/3431 3490/3921/3431 -f 3492/3927/3433 3500/3939/3440 3499/3938/3432 3491/3925/3432 -f 3493/3929/3434 3501/3940/3441 3500/3939/3440 3492/3927/3433 -f 3494/3931/3435 3502/3941/3442 3501/3940/3441 3493/3929/3434 -f 3495/3933/3437 3503/3942/3437 3502/3941/3442 3494/3931/3435 -f 3496/3918/3430 3504/3935/3439 3503/3942/3437 3495/3933/3437 -f 3497/3934/3438 3505/3943/3443 3512/3944/3439 3504/3935/3439 -f 3498/3936/3431 3506/3945/3444 3505/3946/3443 3497/3937/3438 -f 3499/3938/3432 3507/3947/3445 3506/3945/3444 3498/3936/3431 -f 3500/3939/3440 3508/3948/3446 3507/3947/3445 3499/3938/3432 -f 3501/3940/3441 3509/3949/3447 3508/3948/3446 3500/3939/3440 -f 3502/3941/3442 3510/3950/3448 3509/3949/3447 3501/3940/3441 -f 3503/3942/3437 3511/3951/3449 3510/3950/3448 3502/3941/3442 -f 3504/3935/3439 3512/3944/3439 3511/3951/3449 3503/3942/3437 -f 3513/3952/3450 3521/3953/3450 3528/3954/3451 3520/3955/3451 -f 3514/3956/3452 3522/3957/3452 3521/3958/3450 3513/3959/3450 -f 3515/3960/3453 3523/3961/3453 3522/3957/3452 3514/3956/3452 -f 3516/3962/3454 3524/3963/3454 3523/3961/3453 3515/3960/3453 -f 3517/3964/3455 3525/3965/3455 3524/3963/3454 3516/3962/3454 -f 3518/3966/3456 3526/3967/3456 3525/3965/3455 3517/3964/3455 -f 3519/3968/3457 3527/3969/3457 3526/3967/3456 3518/3966/3456 -f 3520/3955/3451 3528/3954/3451 3527/3969/3457 3519/3968/3457 -f 3521/3953/3450 3529/3970/3458 3536/3971/3451 3528/3954/3451 -f 3522/3957/3452 3530/3972/3459 3529/3973/3458 3521/3958/3450 -f 3523/3961/3453 3531/3974/3460 3530/3972/3459 3522/3957/3452 -f 3524/3963/3454 3532/3975/3461 3531/3974/3460 3523/3961/3453 -f 3525/3965/3455 3533/3976/3462 3532/3975/3461 3524/3963/3454 -f 3526/3967/3456 3534/3977/3463 3533/3976/3462 3525/3965/3455 -f 3527/3969/3457 3535/3978/3457 3534/3977/3463 3526/3967/3456 -f 3528/3954/3451 3536/3971/3451 3535/3978/3457 3527/3969/3457 -f 3529/3970/3458 3537/3979/3464 3544/3980/3465 3536/3971/3451 -f 3530/3972/3459 3538/3981/3466 3537/3982/3464 3529/3973/3458 -f 3531/3974/3460 3539/3983/3467 3538/3981/3466 3530/3972/3459 -f 3532/3975/3461 3540/3984/3468 3539/3983/3467 3531/3974/3460 -f 3533/3976/3462 3541/3985/3462 3540/3984/3468 3532/3975/3461 -f 3534/3977/3463 3542/3986/3469 3541/3985/3462 3533/3976/3462 -f 3535/3978/3457 3543/3987/3470 3542/3986/3469 3534/3977/3463 -f 3536/3971/3451 3544/3980/3465 3543/3987/3470 3535/3978/3457 -f 3545/3988/3471 3553/3989/3472 3560/3990/3473 3552/3991/3474 -f 3546/3992/3475 3554/3993/3476 3553/3994/3472 3545/3995/3471 -f 3547/3996/3477 3555/3997/3478 3554/3993/3476 3546/3992/3475 -f 3548/3998/3479 3556/3999/3480 3555/3997/3478 3547/3996/3477 -f 3549/4000/3481 3557/4001/3482 3556/3999/3480 3548/3998/3479 -f 3550/4002/3483 3558/4003/3484 3557/4001/3482 3549/4000/3481 -f 3551/4004/3485 3559/4005/3486 3558/4003/3484 3550/4002/3483 -f 3552/3991/3474 3560/3990/3473 3559/4005/3486 3551/4004/3485 -f 3553/3989/3472 3561/4006/3487 3568/4007/3488 3560/3990/3473 -f 3554/3993/3476 3562/4008/3489 3561/4009/3487 3553/3994/3472 -f 3555/3997/3478 3563/4010/3490 3562/4008/3489 3554/3993/3476 -f 3556/3999/3480 3564/4011/3491 3563/4010/3490 3555/3997/3478 -f 3557/4001/3482 3565/4012/3492 3564/4011/3491 3556/3999/3480 -f 3558/4003/3484 3566/4013/3493 3565/4012/3492 3557/4001/3482 -f 3559/4005/3486 3567/4014/3494 3566/4013/3493 3558/4003/3484 -f 3560/3990/3473 3568/4007/3488 3567/4014/3494 3559/4005/3486 -f 3561/4006/3487 3569/4015/3495 3576/4016/3496 3568/4007/3488 -f 3562/4008/3489 3570/4017/3497 3569/4018/3495 3561/4009/3487 -f 3563/4010/3490 3571/4019/3498 3570/4017/3497 3562/4008/3489 -f 3564/4011/3491 3572/4020/3499 3571/4019/3498 3563/4010/3490 -f 3565/4012/3492 3573/4021/3500 3572/4020/3499 3564/4011/3491 -f 3566/4013/3493 3574/4022/3501 3573/4021/3500 3565/4012/3492 -f 3567/4014/3494 3575/4023/3502 3574/4022/3501 3566/4013/3493 -f 3568/4007/3488 3576/4016/3496 3575/4023/3502 3567/4014/3494 -f 3569/4015/3495 3577/4024/3503 3584/4025/3504 3576/4016/3496 -f 3570/4017/3497 3578/4026/3505 3577/4027/3503 3569/4018/3495 -f 3571/4019/3498 3579/4028/3506 3578/4026/3505 3570/4017/3497 -f 3572/4020/3499 3580/4029/3507 3579/4028/3506 3571/4019/3498 -f 3573/4021/3500 3581/4030/3508 3580/4029/3507 3572/4020/3499 -f 3574/4022/3501 3582/4031/3509 3581/4030/3508 3573/4021/3500 -f 3575/4023/3502 3583/4032/3510 3582/4031/3509 3574/4022/3501 -f 3576/4016/3496 3584/4025/3504 3583/4032/3510 3575/4023/3502 -f 3577/4024/3503 3585/4033/3511 3592/4034/3512 3584/4025/3504 -f 3578/4026/3505 3586/4035/3513 3585/4036/3511 3577/4027/3503 -f 3579/4028/3506 3587/4037/3514 3586/4035/3513 3578/4026/3505 -f 3580/4029/3507 3588/4038/3515 3587/4037/3514 3579/4028/3506 -f 3581/4030/3508 3589/4039/3516 3588/4038/3515 3580/4029/3507 -f 3582/4031/3509 3590/4040/3517 3589/4039/3516 3581/4030/3508 -f 3583/4032/3510 3591/4041/3518 3590/4040/3517 3582/4031/3509 -f 3584/4025/3504 3592/4034/3512 3591/4041/3518 3583/4032/3510 -f 3585/4033/3511 3593/4042/3519 3600/4043/3520 3592/4034/3512 -f 3586/4035/3513 3594/4044/3521 3593/4045/3519 3585/4036/3511 -f 3587/4037/3514 3595/4046/3522 3594/4044/3521 3586/4035/3513 -f 3588/4038/3515 3596/4047/3523 3595/4046/3522 3587/4037/3514 -f 3589/4039/3516 3597/4048/3524 3596/4047/3523 3588/4038/3515 -f 3590/4040/3517 3598/4049/3525 3597/4048/3524 3589/4039/3516 -f 3591/4041/3518 3599/4050/3526 3598/4049/3525 3590/4040/3517 -f 3592/4034/3512 3600/4043/3520 3599/4050/3526 3591/4041/3518 -f 3593/4042/3519 3601/4051/3527 3608/4052/3528 3600/4043/3520 -f 3594/4044/3521 3602/4053/3529 3601/4054/3527 3593/4045/3519 -f 3595/4046/3522 3603/4055/3530 3602/4053/3529 3594/4044/3521 -f 3596/4047/3523 3604/4056/3531 3603/4055/3530 3595/4046/3522 -f 3597/4048/3524 3605/4057/3532 3604/4056/3531 3596/4047/3523 -f 3598/4049/3525 3606/4058/3533 3605/4057/3532 3597/4048/3524 -f 3599/4050/3526 3607/4059/3534 3606/4058/3533 3598/4049/3525 -f 3600/4043/3520 3608/4052/3528 3607/4059/3534 3599/4050/3526 -f 3601/4051/3527 3609/4060/3535 3616/4061/3536 3608/4052/3528 -f 3602/4053/3529 3610/4062/3537 3609/4063/3535 3601/4054/3527 -f 3603/4055/3530 3611/4064/3538 3610/4062/3537 3602/4053/3529 -f 3604/4056/3531 3612/4065/3539 3611/4064/3538 3603/4055/3530 -f 3605/4057/3532 3613/4066/3540 3612/4065/3539 3604/4056/3531 -f 3606/4058/3533 3614/4067/3541 3613/4066/3540 3605/4057/3532 -f 3607/4059/3534 3615/4068/3542 3614/4067/3541 3606/4058/3533 -f 3608/4052/3528 3616/4061/3536 3615/4068/3542 3607/4059/3534 -f 3609/4060/3535 3617/4069/3543 3624/4070/3544 3616/4061/3536 -f 3610/4062/3537 3618/4071/3545 3617/4072/3543 3609/4063/3535 -f 3611/4064/3538 3619/4073/3546 3618/4071/3545 3610/4062/3537 -f 3612/4065/3539 3620/4074/3547 3619/4073/3546 3611/4064/3538 -f 3613/4066/3540 3621/4075/3548 3620/4074/3547 3612/4065/3539 -f 3614/4067/3541 3622/4076/3549 3621/4075/3548 3613/4066/3540 -f 3615/4068/3542 3623/4077/3550 3622/4076/3549 3614/4067/3541 -f 3616/4061/3536 3624/4070/3544 3623/4077/3550 3615/4068/3542 -f 3617/4069/3543 3625/4078/3551 3632/4079/3552 3624/4070/3544 -f 3618/4071/3545 3626/4080/3553 3625/4081/3551 3617/4072/3543 -f 3619/4073/3546 3627/4082/3554 3626/4080/3553 3618/4071/3545 -f 3620/4074/3547 3628/4083/3555 3627/4082/3554 3619/4073/3546 -f 3621/4075/3548 3629/4084/3556 3628/4083/3555 3620/4074/3547 -f 3622/4076/3549 3630/4085/3557 3629/4084/3556 3621/4075/3548 -f 3623/4077/3550 3631/4086/3558 3630/4085/3557 3622/4076/3549 -f 3624/4070/3544 3632/4079/3552 3631/4086/3558 3623/4077/3550 -f 3625/4078/3551 3633/4087/3559 3640/4088/3560 3632/4079/3552 -f 3626/4080/3553 3634/4089/3561 3633/4090/3559 3625/4081/3551 -f 3627/4082/3554 3635/4091/3562 3634/4089/3561 3626/4080/3553 -f 3628/4083/3555 3636/4092/3563 3635/4091/3562 3627/4082/3554 -f 3629/4084/3556 3637/4093/3564 3636/4092/3563 3628/4083/3555 -f 3630/4085/3557 3638/4094/3565 3637/4093/3564 3629/4084/3556 -f 3631/4086/3558 3639/4095/3566 3638/4094/3565 3630/4085/3557 -f 3632/4079/3552 3640/4088/3560 3639/4095/3566 3631/4086/3558 -f 3633/4087/3559 3641/4096/3567 3648/4097/3568 3640/4088/3560 -f 3634/4089/3561 3642/4098/3569 3641/4099/3567 3633/4090/3559 -f 3635/4091/3562 3643/4100/3570 3642/4098/3569 3634/4089/3561 -f 3636/4092/3563 3644/4101/3571 3643/4100/3570 3635/4091/3562 -f 3637/4093/3564 3645/4102/3572 3644/4101/3571 3636/4092/3563 -f 3638/4094/3565 3646/4103/3573 3645/4102/3572 3637/4093/3564 -f 3639/4095/3566 3647/4104/3574 3646/4103/3573 3638/4094/3565 -f 3640/4088/3560 3648/4097/3568 3647/4104/3574 3639/4095/3566 -f 3649/4105/3575 3657/4106/3576 3664/4107/3577 3656/4108/3578 -f 3650/4109/3579 3658/4110/3580 3657/4111/3576 3649/4112/3575 -f 3651/4113/3581 3659/4114/3582 3658/4110/3580 3650/4109/3579 -f 3652/4115/3583 3660/4116/3584 3659/4114/3582 3651/4113/3581 -f 3653/4117/3585 3661/4118/3586 3660/4116/3584 3652/4115/3583 -f 3654/4119/3587 3662/4120/3588 3661/4118/3586 3653/4117/3585 -f 3655/4121/3589 3663/4122/3590 3662/4120/3588 3654/4119/3587 -f 3656/4108/3578 3664/4107/3577 3663/4122/3590 3655/4121/3589 -f 3657/4106/3576 3665/4123/3591 3672/4124/3592 3664/4107/3577 -f 3658/4110/3580 3666/4125/3593 3665/4126/3591 3657/4111/3576 -f 3659/4114/3582 3667/4127/3594 3666/4125/3593 3658/4110/3580 -f 3660/4116/3584 3668/4128/3595 3667/4127/3594 3659/4114/3582 -f 3661/4118/3586 3669/4129/3596 3668/4128/3595 3660/4116/3584 -f 3662/4120/3588 3670/4130/3597 3669/4129/3596 3661/4118/3586 -f 3663/4122/3590 3671/4131/3598 3670/4130/3597 3662/4120/3588 -f 3664/4107/3577 3672/4124/3592 3671/4131/3598 3663/4122/3590 -f 3665/4123/3591 3673/4132/3599 3680/4133/3600 3672/4124/3592 -f 3666/4125/3593 3674/4134/3601 3673/4135/3599 3665/4126/3591 -f 3667/4127/3594 3675/4136/3602 3674/4134/3601 3666/4125/3593 -f 3668/4128/3595 3676/4137/3603 3675/4136/3602 3667/4127/3594 -f 3669/4129/3596 3677/4138/3604 3676/4137/3603 3668/4128/3595 -f 3670/4130/3597 3678/4139/3605 3677/4138/3604 3669/4129/3596 -f 3671/4131/3598 3679/4140/3606 3678/4139/3605 3670/4130/3597 -f 3672/4124/3592 3680/4133/3600 3679/4140/3606 3671/4131/3598 -f 3673/4132/3599 3681/4141/3607 3688/4142/3608 3680/4133/3600 -f 3674/4134/3601 3682/4143/3609 3681/4144/3607 3673/4135/3599 -f 3675/4136/3602 3683/4145/3610 3682/4143/3609 3674/4134/3601 -f 3676/4137/3603 3684/4146/3611 3683/4145/3610 3675/4136/3602 -f 3677/4138/3604 3685/4147/3612 3684/4146/3611 3676/4137/3603 -f 3678/4139/3605 3686/4148/3613 3685/4147/3612 3677/4138/3604 -f 3679/4140/3606 3687/4149/3614 3686/4148/3613 3678/4139/3605 -f 3680/4133/3600 3688/4142/3608 3687/4149/3614 3679/4140/3606 -f 3681/4141/3607 3689/4150/3615 3696/4151/3616 3688/4142/3608 -f 3682/4143/3609 3690/4152/3617 3689/4153/3615 3681/4144/3607 -f 3683/4145/3610 3691/4154/3618 3690/4152/3617 3682/4143/3609 -f 3684/4146/3611 3692/4155/3619 3691/4154/3618 3683/4145/3610 -f 3685/4147/3612 3693/4156/3620 3692/4155/3619 3684/4146/3611 -f 3686/4148/3613 3694/4157/3621 3693/4156/3620 3685/4147/3612 -f 3687/4149/3614 3695/4158/3622 3694/4157/3621 3686/4148/3613 -f 3688/4142/3608 3696/4151/3616 3695/4158/3622 3687/4149/3614 -f 3689/4150/3615 3697/4159/3623 3704/4160/3624 3696/4151/3616 -f 3690/4152/3617 3698/4161/3625 3697/4162/3623 3689/4153/3615 -f 3691/4154/3618 3699/4163/3626 3698/4161/3625 3690/4152/3617 -f 3692/4155/3619 3700/4164/3627 3699/4163/3626 3691/4154/3618 -f 3693/4156/3620 3701/4165/3628 3700/4164/3627 3692/4155/3619 -f 3694/4157/3621 3702/4166/3629 3701/4165/3628 3693/4156/3620 -f 3695/4158/3622 3703/4167/3630 3702/4166/3629 3694/4157/3621 -f 3696/4151/3616 3704/4160/3624 3703/4167/3630 3695/4158/3622 -f 3705/4168/3631 3713/4169/3632 3720/4170/3633 3712/4171/3634 -f 3706/4172/3635 3714/4173/3636 3713/4174/3632 3705/4175/3631 -f 3707/4176/3637 3715/4177/3638 3714/4173/3636 3706/4172/3635 -f 3708/4178/3639 3716/4179/3640 3715/4177/3638 3707/4176/3637 -f 3709/4180/3641 3717/4181/3642 3716/4179/3640 3708/4178/3639 -f 3710/4182/3643 3718/4183/3644 3717/4181/3642 3709/4180/3641 -f 3711/4184/3645 3719/4185/3646 3718/4183/3644 3710/4182/3643 -f 3712/4171/3634 3720/4170/3633 3719/4185/3646 3711/4184/3645 -f 3713/4169/3632 3721/4186/3647 3728/4187/3648 3720/4170/3633 -f 3714/4173/3636 3722/4188/3649 3721/4189/3647 3713/4174/3632 -f 3715/4177/3638 3723/4190/3650 3722/4188/3649 3714/4173/3636 -f 3716/4179/3640 3724/4191/3651 3723/4190/3650 3715/4177/3638 -f 3717/4181/3642 3725/4192/3652 3724/4191/3651 3716/4179/3640 -f 3718/4183/3644 3726/4193/3653 3725/4192/3652 3717/4181/3642 -f 3719/4185/3646 3727/4194/3654 3726/4193/3653 3718/4183/3644 -f 3720/4170/3633 3728/4187/3648 3727/4194/3654 3719/4185/3646 -f 3721/4186/3647 3729/4195/3655 3736/4196/3656 3728/4187/3648 -f 3722/4188/3649 3730/4197/3657 3729/4198/3655 3721/4189/3647 -f 3723/4190/3650 3731/4199/3658 3730/4197/3657 3722/4188/3649 -f 3724/4191/3651 3732/4200/3659 3731/4199/3658 3723/4190/3650 -f 3725/4192/3652 3733/4201/3660 3732/4200/3659 3724/4191/3651 -f 3726/4193/3653 3734/4202/3661 3733/4201/3660 3725/4192/3652 -f 3727/4194/3654 3735/4203/3662 3734/4202/3661 3726/4193/3653 -f 3728/4187/3648 3736/4196/3656 3735/4203/3662 3727/4194/3654 -f 3729/4195/3655 3737/4204/3663 3744/4205/3664 3736/4196/3656 -f 3730/4197/3657 3738/4206/3665 3737/4207/3663 3729/4198/3655 -f 3731/4199/3658 3739/4208/3666 3738/4206/3665 3730/4197/3657 -f 3732/4200/3659 3740/4209/3667 3739/4208/3666 3731/4199/3658 -f 3733/4201/3660 3741/4210/3668 3740/4209/3667 3732/4200/3659 -f 3734/4202/3661 3742/4211/3669 3741/4210/3668 3733/4201/3660 -f 3735/4203/3662 3743/4212/3670 3742/4211/3669 3734/4202/3661 -f 3736/4196/3656 3744/4205/3664 3743/4212/3670 3735/4203/3662 -f 3737/4204/3663 3745/4213/3671 3752/4214/3672 3744/4205/3664 -f 3738/4206/3665 3746/4215/3673 3745/4216/3671 3737/4207/3663 -f 3739/4208/3666 3747/4217/3674 3746/4215/3673 3738/4206/3665 -f 3740/4209/3667 3748/4218/3675 3747/4217/3674 3739/4208/3666 -f 3741/4210/3668 3749/4219/3676 3748/4218/3675 3740/4209/3667 -f 3742/4211/3669 3750/4220/3677 3749/4219/3676 3741/4210/3668 -f 3743/4212/3670 3751/4221/3678 3750/4220/3677 3742/4211/3669 -f 3744/4205/3664 3752/4214/3672 3751/4221/3678 3743/4212/3670 -f 3745/4213/3671 3753/4222/3679 3760/4223/3680 3752/4214/3672 -f 3746/4215/3673 3754/4224/3681 3753/4225/3679 3745/4216/3671 -f 3747/4217/3674 3755/4226/3682 3754/4224/3681 3746/4215/3673 -f 3748/4218/3675 3756/4227/3683 3755/4226/3682 3747/4217/3674 -f 3749/4219/3676 3757/4228/3684 3756/4227/3683 3748/4218/3675 -f 3750/4220/3677 3758/4229/3685 3757/4228/3684 3749/4219/3676 -f 3751/4221/3678 3759/4230/3686 3758/4229/3685 3750/4220/3677 -f 3752/4214/3672 3760/4223/3680 3759/4230/3686 3751/4221/3678 -f 3753/4222/3679 3761/4231/3687 3768/4232/3688 3760/4223/3680 -f 3754/4224/3681 3762/4233/3689 3761/4234/3687 3753/4225/3679 -f 3755/4226/3682 3763/4235/3690 3762/4233/3689 3754/4224/3681 -f 3756/4227/3683 3764/4236/3691 3763/4235/3690 3755/4226/3682 -f 3757/4228/3684 3765/4237/3692 3764/4236/3691 3756/4227/3683 -f 3758/4229/3685 3766/4238/3693 3765/4237/3692 3757/4228/3684 -f 3759/4230/3686 3767/4239/3694 3766/4238/3693 3758/4229/3685 -f 3760/4223/3680 3768/4232/3688 3767/4239/3694 3759/4230/3686 -f 3761/4231/3687 3769/4240/3695 3776/4241/3696 3768/4232/3688 -f 3762/4233/3689 3770/4242/3697 3769/4243/3695 3761/4234/3687 -f 3763/4235/3690 3771/4244/3698 3770/4242/3697 3762/4233/3689 -f 3764/4236/3691 3772/4245/3699 3771/4244/3698 3763/4235/3690 -f 3765/4237/3692 3773/4246/3700 3772/4245/3699 3764/4236/3691 -f 3766/4238/3693 3774/4247/3701 3773/4246/3700 3765/4237/3692 -f 3767/4239/3694 3775/4248/3702 3774/4247/3701 3766/4238/3693 -f 3768/4232/3688 3776/4241/3696 3775/4248/3702 3767/4239/3694 -f 3769/4240/3695 3777/4249/3703 3784/4250/3704 3776/4241/3696 -f 3770/4242/3697 3778/4251/3705 3777/4252/3703 3769/4243/3695 -f 3771/4244/3698 3779/4253/3706 3778/4251/3705 3770/4242/3697 -f 3772/4245/3699 3780/4254/3707 3779/4253/3706 3771/4244/3698 -f 3773/4246/3700 3781/4255/3708 3780/4254/3707 3772/4245/3699 -f 3774/4247/3701 3782/4256/3709 3781/4255/3708 3773/4246/3700 -f 3775/4248/3702 3783/4257/3710 3782/4256/3709 3774/4247/3701 -f 3776/4241/3696 3784/4250/3704 3783/4257/3710 3775/4248/3702 -f 3785/4258/3711 3793/4259/3711 3800/4260/3712 3792/4261/3712 -f 3786/4262/3713 3794/4263/3713 3793/4264/3711 3785/4265/3711 -f 3787/4266/3714 3795/4267/3714 3794/4263/3713 3786/4262/3713 -f 3788/4268/3715 3796/4269/3716 3795/4267/3714 3787/4266/3714 -f 3789/4270/3717 3797/4271/3717 3796/4269/3716 3788/4268/3715 -f 3790/4272/3718 3798/4273/3718 3797/4271/3717 3789/4270/3717 -f 3791/4274/3719 3799/4275/3719 3798/4273/3718 3790/4272/3718 -f 3792/4261/3712 3800/4260/3712 3799/4275/3719 3791/4274/3719 -f 3793/4259/3711 3801/4276/3711 3808/4277/3720 3800/4260/3712 -f 3794/4263/3713 3802/4278/3721 3801/4279/3711 3793/4264/3711 -f 3795/4267/3714 3803/4280/3714 3802/4278/3721 3794/4263/3713 -f 3796/4269/3716 3804/4281/3722 3803/4280/3714 3795/4267/3714 -f 3797/4271/3717 3805/4282/3723 3804/4281/3722 3796/4269/3716 -f 3798/4273/3718 3806/4283/3718 3805/4282/3723 3797/4271/3717 -f 3799/4275/3719 3807/4284/3724 3806/4283/3718 3798/4273/3718 -f 3800/4260/3712 3808/4277/3720 3807/4284/3724 3799/4275/3719 -f 3801/4276/3711 3809/4285/3725 3816/4286/3726 3808/4277/3720 -f 3802/4278/3721 3810/4287/3721 3809/4288/3725 3801/4279/3711 -f 3803/4280/3714 3811/4289/3727 3810/4287/3721 3802/4278/3721 -f 3804/4281/3722 3812/4290/3728 3811/4289/3727 3803/4280/3714 -f 3805/4282/3723 3813/4291/3723 3812/4290/3728 3804/4281/3722 -f 3806/4283/3718 3814/4292/3729 3813/4291/3723 3805/4282/3723 -f 3807/4284/3724 3815/4293/3724 3814/4292/3729 3806/4283/3718 -f 3808/4277/3720 3816/4286/3726 3815/4293/3724 3807/4284/3724 -f 3817/4294/3730 3825/4295/3730 3832/4296/3731 3824/4297/3731 -f 3818/4298/3732 3826/4299/3732 3825/4300/3730 3817/4301/3730 -f 3819/4302/3733 3827/4303/3733 3826/4299/3732 3818/4298/3732 -f 3820/4304/3734 3828/4305/3734 3827/4303/3733 3819/4302/3733 -f 3821/4306/3735 3829/4307/3735 3828/4305/3734 3820/4304/3734 -f 3822/4308/3736 3830/4309/3736 3829/4307/3735 3821/4306/3735 -f 3823/4310/3737 3831/4311/3737 3830/4309/3736 3822/4308/3736 -f 3824/4297/3731 3832/4296/3731 3831/4311/3737 3823/4310/3737 -f 3825/4295/3730 3833/4312/3730 3840/4313/3738 3832/4296/3731 -f 3826/4299/3732 3834/4314/3739 3833/4315/3730 3825/4300/3730 -f 3827/4303/3733 3835/4316/3733 3834/4314/3739 3826/4299/3732 -f 3828/4305/3734 3836/4317/3740 3835/4316/3733 3827/4303/3733 -f 3829/4307/3735 3837/4318/3741 3836/4317/3740 3828/4305/3734 -f 3830/4309/3736 3838/4319/3742 3837/4318/3741 3829/4307/3735 -f 3831/4311/3737 3839/4320/3743 3838/4319/3742 3830/4309/3736 -f 3832/4296/3731 3840/4313/3738 3839/4320/3743 3831/4311/3737 -f 3833/4312/3730 3841/4321/3744 3848/4322/3745 3840/4313/3738 -f 3834/4314/3739 3842/4323/3746 3841/4324/3744 3833/4315/3730 -f 3835/4316/3733 3843/4325/3747 3842/4323/3746 3834/4314/3739 -f 3836/4317/3740 3844/4326/3740 3843/4325/3747 3835/4316/3733 -f 3837/4318/3741 3845/4327/3748 3844/4326/3740 3836/4317/3740 -f 3838/4319/3742 3846/4328/3749 3845/4327/3748 3837/4318/3741 -f 3839/4320/3743 3847/4329/3750 3846/4328/3749 3838/4319/3742 -f 3840/4313/3738 3848/4322/3745 3847/4329/3750 3839/4320/3743 -f 3849/4330/3751 3857/4331/3752 3864/4332/3753 3856/4333/3754 -f 3850/4334/3755 3858/4335/3756 3857/4336/3752 3849/4337/3751 -f 3851/4338/3757 3859/4339/3758 3858/4335/3756 3850/4334/3755 -f 3852/4340/3759 3860/4341/3760 3859/4339/3758 3851/4338/3757 -f 3853/4342/3761 3861/4343/3762 3860/4341/3760 3852/4340/3759 -f 3854/4344/3763 3862/4345/3764 3861/4343/3762 3853/4342/3761 -f 3855/4346/3765 3863/4347/3766 3862/4345/3764 3854/4344/3763 -f 3856/4333/3754 3864/4332/3753 3863/4347/3766 3855/4346/3765 -f 3857/4331/3752 3865/4348/3767 3872/4349/3768 3864/4332/3753 -f 3858/4335/3756 3866/4350/3769 3865/4351/3767 3857/4336/3752 -f 3859/4339/3758 3867/4352/3770 3866/4350/3769 3858/4335/3756 -f 3860/4341/3760 3868/4353/3771 3867/4352/3770 3859/4339/3758 -f 3861/4343/3762 3869/4354/3772 3868/4353/3771 3860/4341/3760 -f 3862/4345/3764 3870/4355/3773 3869/4354/3772 3861/4343/3762 -f 3863/4347/3766 3871/4356/3774 3870/4355/3773 3862/4345/3764 -f 3864/4332/3753 3872/4349/3768 3871/4356/3774 3863/4347/3766 -f 3865/4348/3767 3873/4357/3775 3880/4358/3776 3872/4349/3768 -f 3866/4350/3769 3874/4359/3777 3873/4360/3775 3865/4351/3767 -f 3867/4352/3770 3875/4361/3778 3874/4359/3777 3866/4350/3769 -f 3868/4353/3771 3876/4362/3779 3875/4361/3778 3867/4352/3770 -f 3869/4354/3772 3877/4363/3780 3876/4362/3779 3868/4353/3771 -f 3870/4355/3773 3878/4364/3781 3877/4363/3780 3869/4354/3772 -f 3871/4356/3774 3879/4365/3782 3878/4364/3781 3870/4355/3773 -f 3872/4349/3768 3880/4358/3776 3879/4365/3782 3871/4356/3774 -f 3873/4357/3775 3881/4366/3783 3888/4367/3784 3880/4358/3776 -f 3874/4359/3777 3882/4368/3785 3881/4369/3783 3873/4360/3775 -f 3875/4361/3778 3883/4370/3786 3882/4368/3785 3874/4359/3777 -f 3876/4362/3779 3884/4371/3787 3883/4370/3786 3875/4361/3778 -f 3877/4363/3780 3885/4372/3788 3884/4371/3787 3876/4362/3779 -f 3878/4364/3781 3886/4373/3789 3885/4372/3788 3877/4363/3780 -f 3879/4365/3782 3887/4374/3790 3886/4373/3789 3878/4364/3781 -f 3880/4358/3776 3888/4367/3784 3887/4374/3790 3879/4365/3782 -f 3881/4366/3783 3889/4375/3791 3896/4376/3792 3888/4367/3784 -f 3882/4368/3785 3890/4377/3793 3889/4378/3791 3881/4369/3783 -f 3883/4370/3786 3891/4379/3794 3890/4377/3793 3882/4368/3785 -f 3884/4371/3787 3892/4380/3795 3891/4379/3794 3883/4370/3786 -f 3885/4372/3788 3893/4381/3796 3892/4380/3795 3884/4371/3787 -f 3886/4373/3789 3894/4382/3797 3893/4381/3796 3885/4372/3788 -f 3887/4374/3790 3895/4383/3798 3894/4382/3797 3886/4373/3789 -f 3888/4367/3784 3896/4376/3792 3895/4383/3798 3887/4374/3790 -f 3889/4375/3791 3897/4384/3799 3904/4385/3800 3896/4376/3792 -f 3890/4377/3793 3898/4386/3801 3897/4387/3799 3889/4378/3791 -f 3891/4379/3794 3899/4388/3802 3898/4386/3801 3890/4377/3793 -f 3892/4380/3795 3900/4389/3803 3899/4388/3802 3891/4379/3794 -f 3893/4381/3796 3901/4390/3804 3900/4389/3803 3892/4380/3795 -f 3894/4382/3797 3902/4391/3805 3901/4390/3804 3893/4381/3796 -f 3895/4383/3798 3903/4392/3806 3902/4391/3805 3894/4382/3797 -f 3896/4376/3792 3904/4385/3800 3903/4392/3806 3895/4383/3798 -f 3897/4384/3799 3905/4393/3807 3912/4394/3808 3904/4385/3800 -f 3898/4386/3801 3906/4395/3809 3905/4396/3807 3897/4387/3799 -f 3899/4388/3802 3907/4397/3810 3906/4395/3809 3898/4386/3801 -f 3900/4389/3803 3908/4398/3811 3907/4397/3810 3899/4388/3802 -f 3901/4390/3804 3909/4399/3812 3908/4398/3811 3900/4389/3803 -f 3902/4391/3805 3910/4400/3813 3909/4399/3812 3901/4390/3804 -f 3903/4392/3806 3911/4401/3814 3910/4400/3813 3902/4391/3805 -f 3904/4385/3800 3912/4394/3808 3911/4401/3814 3903/4392/3806 -f 3905/4393/3807 3913/4402/3815 3920/4403/3816 3912/4394/3808 -f 3906/4395/3809 3914/4404/3817 3913/4405/3815 3905/4396/3807 -f 3907/4397/3810 3915/4406/3818 3914/4404/3817 3906/4395/3809 -f 3908/4398/3811 3916/4407/3819 3915/4406/3818 3907/4397/3810 -f 3909/4399/3812 3917/4408/3820 3916/4407/3819 3908/4398/3811 -f 3910/4400/3813 3918/4409/3821 3917/4408/3820 3909/4399/3812 -f 3911/4401/3814 3919/4410/3822 3918/4409/3821 3910/4400/3813 -f 3912/4394/3808 3920/4403/3816 3919/4410/3822 3911/4401/3814 -f 3913/4402/3815 3921/4411/3823 3928/4412/3824 3920/4403/3816 -f 3914/4404/3817 3922/4413/3825 3921/4414/3823 3913/4405/3815 -f 3915/4406/3818 3923/4415/3826 3922/4413/3825 3914/4404/3817 -f 3916/4407/3819 3924/4416/3827 3923/4415/3826 3915/4406/3818 -f 3917/4408/3820 3925/4417/3828 3924/4416/3827 3916/4407/3819 -f 3918/4409/3821 3926/4418/3829 3925/4417/3828 3917/4408/3820 -f 3919/4410/3822 3927/4419/3830 3926/4418/3829 3918/4409/3821 -f 3920/4403/3816 3928/4412/3824 3927/4419/3830 3919/4410/3822 -f 3921/4411/3823 3929/4420/3831 3936/4421/3832 3928/4412/3824 -f 3922/4413/3825 3930/4422/3833 3929/4423/3831 3921/4414/3823 -f 3923/4415/3826 3931/4424/3834 3930/4422/3833 3922/4413/3825 -f 3924/4416/3827 3932/4425/3835 3931/4424/3834 3923/4415/3826 -f 3925/4417/3828 3933/4426/3836 3932/4425/3835 3924/4416/3827 -f 3926/4418/3829 3934/4427/3837 3933/4426/3836 3925/4417/3828 -f 3927/4419/3830 3935/4428/3838 3934/4427/3837 3926/4418/3829 -f 3928/4412/3824 3936/4421/3832 3935/4428/3838 3927/4419/3830 -f 3929/4420/3831 3937/4429/3839 3944/4430/3840 3936/4421/3832 -f 3930/4422/3833 3938/4431/3841 3937/4432/3839 3929/4423/3831 -f 3931/4424/3834 3939/4433/3842 3938/4431/3841 3930/4422/3833 -f 3932/4425/3835 3940/4434/3843 3939/4433/3842 3931/4424/3834 -f 3933/4426/3836 3941/4435/3844 3940/4434/3843 3932/4425/3835 -f 3934/4427/3837 3942/4436/3845 3941/4435/3844 3933/4426/3836 -f 3935/4428/3838 3943/4437/3846 3942/4436/3845 3934/4427/3837 -f 3936/4421/3832 3944/4430/3840 3943/4437/3846 3935/4428/3838 -f 3937/4429/3839 3945/4438/3847 3952/4439/3848 3944/4430/3840 -f 3938/4431/3841 3946/4440/3849 3945/4441/3847 3937/4432/3839 -f 3939/4433/3842 3947/4442/3850 3946/4440/3849 3938/4431/3841 -f 3940/4434/3843 3948/4443/3851 3947/4442/3850 3939/4433/3842 -f 3941/4435/3844 3949/4444/3852 3948/4443/3851 3940/4434/3843 -f 3942/4436/3845 3950/4445/3853 3949/4444/3852 3941/4435/3844 -f 3943/4437/3846 3951/4446/3854 3950/4445/3853 3942/4436/3845 -f 3944/4430/3840 3952/4439/3848 3951/4446/3854 3943/4437/3846 -f 3953/4447/3855 3961/4448/3856 3968/4449/3857 3960/4450/3858 -f 3954/4451/3859 3962/4452/3860 3961/4453/3856 3953/4454/3855 -f 3955/4455/3861 3963/4456/3862 3962/4452/3860 3954/4451/3859 -f 3956/4457/3863 3964/4458/3864 3963/4456/3862 3955/4455/3861 -f 3957/4459/3865 3965/4460/3866 3964/4458/3864 3956/4457/3863 -f 3958/4461/3867 3966/4462/3868 3965/4460/3866 3957/4459/3865 -f 3959/4463/3869 3967/4464/3870 3966/4462/3868 3958/4461/3867 -f 3960/4450/3858 3968/4449/3857 3967/4464/3870 3959/4463/3869 -f 3961/4448/3856 3969/4465/3871 3976/4466/3872 3968/4449/3857 -f 3962/4452/3860 3970/4467/3873 3969/4468/3871 3961/4453/3856 -f 3963/4456/3862 3971/4469/3874 3970/4467/3873 3962/4452/3860 -f 3964/4458/3864 3972/4470/3875 3971/4469/3874 3963/4456/3862 -f 3965/4460/3866 3973/4471/3876 3972/4470/3875 3964/4458/3864 -f 3966/4462/3868 3974/4472/3877 3973/4471/3876 3965/4460/3866 -f 3967/4464/3870 3975/4473/3878 3974/4472/3877 3966/4462/3868 -f 3968/4449/3857 3976/4466/3872 3975/4473/3878 3967/4464/3870 -f 3969/4465/3871 3977/4474/3879 3984/4475/3880 3976/4466/3872 -f 3970/4467/3873 3978/4476/3881 3977/4477/3879 3969/4468/3871 -f 3971/4469/3874 3979/4478/3882 3978/4476/3881 3970/4467/3873 -f 3972/4470/3875 3980/4479/3883 3979/4478/3882 3971/4469/3874 -f 3973/4471/3876 3981/4480/3884 3980/4479/3883 3972/4470/3875 -f 3974/4472/3877 3982/4481/3885 3981/4480/3884 3973/4471/3876 -f 3975/4473/3878 3983/4482/3886 3982/4481/3885 3974/4472/3877 -f 3976/4466/3872 3984/4475/3880 3983/4482/3886 3975/4473/3878 -f 3977/4474/3879 3985/4483/3887 3992/4484/3888 3984/4475/3880 -f 3978/4476/3881 3986/4485/3889 3985/4486/3887 3977/4477/3879 -f 3979/4478/3882 3987/4487/3890 3986/4485/3889 3978/4476/3881 -f 3980/4479/3883 3988/4488/3891 3987/4487/3890 3979/4478/3882 -f 3981/4480/3884 3989/4489/3892 3988/4488/3891 3980/4479/3883 -f 3982/4481/3885 3990/4490/3893 3989/4489/3892 3981/4480/3884 -f 3983/4482/3886 3991/4491/3894 3990/4490/3893 3982/4481/3885 -f 3984/4475/3880 3992/4484/3888 3991/4491/3894 3983/4482/3886 -f 3985/4483/3887 3993/4492/3895 4000/4493/3896 3992/4484/3888 -f 3986/4485/3889 3994/4494/3897 3993/4495/3895 3985/4486/3887 -f 3987/4487/3890 3995/4496/3898 3994/4494/3897 3986/4485/3889 -f 3988/4488/3891 3996/4497/3899 3995/4496/3898 3987/4487/3890 -f 3989/4489/3892 3997/4498/3900 3996/4497/3899 3988/4488/3891 -f 3990/4490/3893 3998/4499/3901 3997/4498/3900 3989/4489/3892 -f 3991/4491/3894 3999/4500/3902 3998/4499/3901 3990/4490/3893 -f 3992/4484/3888 4000/4493/3896 3999/4500/3902 3991/4491/3894 -f 3993/4492/3895 4001/4501/3903 4008/4502/3904 4000/4493/3896 -f 3994/4494/3897 4002/4503/3905 4001/4504/3903 3993/4495/3895 -f 3995/4496/3898 4003/4505/3906 4002/4503/3905 3994/4494/3897 -f 3996/4497/3899 4004/4506/3907 4003/4505/3906 3995/4496/3898 -f 3997/4498/3900 4005/4507/3908 4004/4506/3907 3996/4497/3899 -f 3998/4499/3901 4006/4508/3909 4005/4507/3908 3997/4498/3900 -f 3999/4500/3902 4007/4509/3910 4006/4508/3909 3998/4499/3901 -f 4000/4493/3896 4008/4502/3904 4007/4509/3910 3999/4500/3902 -f 4009/4510/3911 4017/4511/3912 4024/4512/3913 4016/4513/3914 -f 4010/4514/3915 4018/4515/3916 4017/4516/3912 4009/4517/3911 -f 4011/4518/3917 4019/4519/3918 4018/4515/3916 4010/4514/3915 -f 4012/4520/3919 4020/4521/3920 4019/4519/3918 4011/4518/3917 -f 4013/4522/3921 4021/4523/3922 4020/4521/3920 4012/4520/3919 -f 4014/4524/3923 4022/4525/3924 4021/4523/3922 4013/4522/3921 -f 4015/4526/3925 4023/4527/3926 4022/4525/3924 4014/4524/3923 -f 4016/4513/3914 4024/4512/3913 4023/4527/3926 4015/4526/3925 -f 4017/4511/3912 4025/4528/3927 4032/4529/3928 4024/4512/3913 -f 4018/4515/3916 4026/4530/3929 4025/4531/3927 4017/4516/3912 -f 4019/4519/3918 4027/4532/3930 4026/4530/3929 4018/4515/3916 -f 4020/4521/3920 4028/4533/3931 4027/4532/3930 4019/4519/3918 -f 4021/4523/3922 4029/4534/3932 4028/4533/3931 4020/4521/3920 -f 4022/4525/3924 4030/4535/3933 4029/4534/3932 4021/4523/3922 -f 4023/4527/3926 4031/4536/3934 4030/4535/3933 4022/4525/3924 -f 4024/4512/3913 4032/4529/3928 4031/4536/3934 4023/4527/3926 -f 4025/4528/3927 4033/4537/3935 4040/4538/3936 4032/4529/3928 -f 4026/4530/3929 4034/4539/3937 4033/4540/3935 4025/4531/3927 -f 4027/4532/3930 4035/4541/3938 4034/4539/3937 4026/4530/3929 -f 4028/4533/3931 4036/4542/3939 4035/4541/3938 4027/4532/3930 -f 4029/4534/3932 4037/4543/3940 4036/4542/3939 4028/4533/3931 -f 4030/4535/3933 4038/4544/3941 4037/4543/3940 4029/4534/3932 -f 4031/4536/3934 4039/4545/3942 4038/4544/3941 4030/4535/3933 -f 4032/4529/3928 4040/4538/3936 4039/4545/3942 4031/4536/3934 -f 4033/4537/3935 4041/4546/3943 4048/4547/3944 4040/4538/3936 -f 4034/4539/3937 4042/4548/3945 4041/4549/3943 4033/4540/3935 -f 4035/4541/3938 4043/4550/3946 4042/4548/3945 4034/4539/3937 -f 4036/4542/3939 4044/4551/3947 4043/4550/3946 4035/4541/3938 -f 4037/4543/3940 4045/4552/3948 4044/4551/3947 4036/4542/3939 -f 4038/4544/3941 4046/4553/3949 4045/4552/3948 4037/4543/3940 -f 4039/4545/3942 4047/4554/3950 4046/4553/3949 4038/4544/3941 -f 4040/4538/3936 4048/4547/3944 4047/4554/3950 4039/4545/3942 -f 4041/4546/3943 4049/4555/3951 4056/4556/3952 4048/4547/3944 -f 4042/4548/3945 4050/4557/3953 4049/4558/3951 4041/4549/3943 -f 4043/4550/3946 4051/4559/3954 4050/4557/3953 4042/4548/3945 -f 4044/4551/3947 4052/4560/3955 4051/4559/3954 4043/4550/3946 -f 4045/4552/3948 4053/4561/3956 4052/4560/3955 4044/4551/3947 -f 4046/4553/3949 4054/4562/3957 4053/4561/3956 4045/4552/3948 -f 4047/4554/3950 4055/4563/3958 4054/4562/3957 4046/4553/3949 -f 4048/4547/3944 4056/4556/3952 4055/4563/3958 4047/4554/3950 -f 4049/4555/3951 4057/4564/3959 4064/4565/3960 4056/4556/3952 -f 4050/4557/3953 4058/4566/3961 4057/4567/3959 4049/4558/3951 -f 4051/4559/3954 4059/4568/3962 4058/4566/3961 4050/4557/3953 -f 4052/4560/3955 4060/4569/3963 4059/4568/3962 4051/4559/3954 -f 4053/4561/3956 4061/4570/3964 4060/4569/3963 4052/4560/3955 -f 4054/4562/3957 4062/4571/3965 4061/4570/3964 4053/4561/3956 -f 4055/4563/3958 4063/4572/3966 4062/4571/3965 4054/4562/3957 -f 4056/4556/3952 4064/4565/3960 4063/4572/3966 4055/4563/3958 -f 4065/4573/3967 4073/4574/3968 4080/4575/3969 4072/4576/3970 -f 4066/4577/3971 4074/4578/3972 4073/4579/3968 4065/4580/3967 -f 4067/4581/3973 4075/4582/3974 4074/4578/3972 4066/4577/3971 -f 4068/4583/3975 4076/4584/3976 4075/4582/3974 4067/4581/3973 -f 4069/4585/3977 4077/4586/3978 4076/4584/3976 4068/4583/3975 -f 4070/4587/3979 4078/4588/3980 4077/4586/3978 4069/4585/3977 -f 4071/4589/3981 4079/4590/3982 4078/4588/3980 4070/4587/3979 -f 4072/4576/3970 4080/4575/3969 4079/4590/3982 4071/4589/3981 -f 4073/4574/3968 4081/4591/3983 4088/4592/3984 4080/4575/3969 -f 4074/4578/3972 4082/4593/3985 4081/4594/3983 4073/4579/3968 -f 4075/4582/3974 4083/4595/3986 4082/4593/3985 4074/4578/3972 -f 4076/4584/3976 4084/4596/3987 4083/4595/3986 4075/4582/3974 -f 4077/4586/3978 4085/4597/3988 4084/4596/3987 4076/4584/3976 -f 4078/4588/3980 4086/4598/3989 4085/4597/3988 4077/4586/3978 -f 4079/4590/3982 4087/4599/3990 4086/4598/3989 4078/4588/3980 -f 4080/4575/3969 4088/4592/3984 4087/4599/3990 4079/4590/3982 -f 4081/4591/3983 4089/4600/3991 4096/4601/3992 4088/4592/3984 -f 4082/4593/3985 4090/4602/3993 4089/4603/3991 4081/4594/3983 -f 4083/4595/3986 4091/4604/3994 4090/4602/3993 4082/4593/3985 -f 4084/4596/3987 4092/4605/3995 4091/4604/3994 4083/4595/3986 -f 4085/4597/3988 4093/4606/3996 4092/4605/3995 4084/4596/3987 -f 4086/4598/3989 4094/4607/3997 4093/4606/3996 4085/4597/3988 -f 4087/4599/3990 4095/4608/3998 4094/4607/3997 4086/4598/3989 -f 4088/4592/3984 4096/4601/3992 4095/4608/3998 4087/4599/3990 -f 4089/4600/3991 4097/4609/3999 4104/4610/4000 4096/4601/3992 -f 4090/4602/3993 4098/4611/4001 4097/4612/3999 4089/4603/3991 -f 4091/4604/3994 4099/4613/4002 4098/4611/4001 4090/4602/3993 -f 4092/4605/3995 4100/4614/4003 4099/4613/4002 4091/4604/3994 -f 4093/4606/3996 4101/4615/4004 4100/4614/4003 4092/4605/3995 -f 4094/4607/3997 4102/4616/4005 4101/4615/4004 4093/4606/3996 -f 4095/4608/3998 4103/4617/4006 4102/4616/4005 4094/4607/3997 -f 4096/4601/3992 4104/4610/4000 4103/4617/4006 4095/4608/3998 -f 4097/4609/3999 4105/4618/4007 4112/4619/4008 4104/4610/4000 -f 4098/4611/4001 4106/4620/4009 4105/4621/4007 4097/4612/3999 -f 4099/4613/4002 4107/4622/4010 4106/4620/4009 4098/4611/4001 -f 4100/4614/4003 4108/4623/4011 4107/4622/4010 4099/4613/4002 -f 4101/4615/4004 4109/4624/4012 4108/4623/4011 4100/4614/4003 -f 4102/4616/4005 4110/4625/4013 4109/4624/4012 4101/4615/4004 -f 4103/4617/4006 4111/4626/4014 4110/4625/4013 4102/4616/4005 -f 4104/4610/4000 4112/4619/4008 4111/4626/4014 4103/4617/4006 -f 4105/4618/4007 4113/4627/4015 4120/4628/4016 4112/4619/4008 -f 4106/4620/4009 4114/4629/4017 4113/4630/4015 4105/4621/4007 -f 4107/4622/4010 4115/4631/4018 4114/4629/4017 4106/4620/4009 -f 4108/4623/4011 4116/4632/4019 4115/4631/4018 4107/4622/4010 -f 4109/4624/4012 4117/4633/4020 4116/4632/4019 4108/4623/4011 -f 4110/4625/4013 4118/4634/4021 4117/4633/4020 4109/4624/4012 -f 4111/4626/4014 4119/4635/4022 4118/4634/4021 4110/4625/4013 -f 4112/4619/4008 4120/4628/4016 4119/4635/4022 4111/4626/4014 -f 4121/4636/4023 4129/4637/4024 4136/4638/4025 4128/4639/4026 -f 4122/4640/4027 4130/4641/4028 4129/4642/4024 4121/4643/4023 -f 4123/4644/4029 4131/4645/4030 4130/4641/4028 4122/4640/4027 -f 4124/4646/4031 4132/4647/4032 4131/4645/4030 4123/4644/4029 -f 4125/4648/4033 4133/4649/4034 4132/4647/4032 4124/4646/4031 -f 4126/4650/4035 4134/4651/4036 4133/4649/4034 4125/4648/4033 -f 4127/4652/4037 4135/4653/4038 4134/4651/4036 4126/4650/4035 -f 4128/4639/4026 4136/4638/4025 4135/4653/4038 4127/4652/4037 -f 4129/4637/4024 4137/4654/4039 4144/4655/4040 4136/4638/4025 -f 4130/4641/4028 4138/4656/4041 4137/4657/4039 4129/4642/4024 -f 4131/4645/4030 4139/4658/4042 4138/4656/4041 4130/4641/4028 -f 4132/4647/4032 4140/4659/4043 4139/4658/4042 4131/4645/4030 -f 4133/4649/4034 4141/4660/4044 4140/4659/4043 4132/4647/4032 -f 4134/4651/4036 4142/4661/4045 4141/4660/4044 4133/4649/4034 -f 4135/4653/4038 4143/4662/4046 4142/4661/4045 4134/4651/4036 -f 4136/4638/4025 4144/4655/4040 4143/4662/4046 4135/4653/4038 -f 4137/4654/4039 4145/4663/4047 4152/4664/4048 4144/4655/4040 -f 4138/4656/4041 4146/4665/4049 4145/4666/4047 4137/4657/4039 -f 4139/4658/4042 4147/4667/4050 4146/4665/4049 4138/4656/4041 -f 4140/4659/4043 4148/4668/4051 4147/4667/4050 4139/4658/4042 -f 4141/4660/4044 4149/4669/4052 4148/4668/4051 4140/4659/4043 -f 4142/4661/4045 4150/4670/4053 4149/4669/4052 4141/4660/4044 -f 4143/4662/4046 4151/4671/4054 4150/4670/4053 4142/4661/4045 -f 4144/4655/4040 4152/4664/4048 4151/4671/4054 4143/4662/4046 -f 4145/4663/4047 4153/4672/4055 4160/4673/4056 4152/4664/4048 -f 4146/4665/4049 4154/4674/4057 4153/4675/4055 4145/4666/4047 -f 4147/4667/4050 4155/4676/4058 4154/4674/4057 4146/4665/4049 -f 4148/4668/4051 4156/4677/4059 4155/4676/4058 4147/4667/4050 -f 4149/4669/4052 4157/4678/4060 4156/4677/4059 4148/4668/4051 -f 4150/4670/4053 4158/4679/4061 4157/4678/4060 4149/4669/4052 -f 4151/4671/4054 4159/4680/4062 4158/4679/4061 4150/4670/4053 -f 4152/4664/4048 4160/4673/4056 4159/4680/4062 4151/4671/4054 -f 4153/4672/4055 4161/4681/4063 4168/4682/4064 4160/4673/4056 -f 4154/4674/4057 4162/4683/4065 4161/4684/4063 4153/4675/4055 -f 4155/4676/4058 4163/4685/4066 4162/4683/4065 4154/4674/4057 -f 4156/4677/4059 4164/4686/4067 4163/4685/4066 4155/4676/4058 -f 4157/4678/4060 4165/4687/4068 4164/4686/4067 4156/4677/4059 -f 4158/4679/4061 4166/4688/4069 4165/4687/4068 4157/4678/4060 -f 4159/4680/4062 4167/4689/4070 4166/4688/4069 4158/4679/4061 -f 4160/4673/4056 4168/4682/4064 4167/4689/4070 4159/4680/4062 -f 4161/4681/4063 4169/4690/4071 4176/4691/4072 4168/4682/4064 -f 4162/4683/4065 4170/4692/4073 4169/4693/4071 4161/4684/4063 -f 4163/4685/4066 4171/4694/4074 4170/4692/4073 4162/4683/4065 -f 4164/4686/4067 4172/4695/4075 4171/4694/4074 4163/4685/4066 -f 4165/4687/4068 4173/4696/4076 4172/4695/4075 4164/4686/4067 -f 4166/4688/4069 4174/4697/4077 4173/4696/4076 4165/4687/4068 -f 4167/4689/4070 4175/4698/4078 4174/4697/4077 4166/4688/4069 -f 4168/4682/4064 4176/4691/4072 4175/4698/4078 4167/4689/4070 -f 4169/4690/4071 4177/4699/4079 4184/4700/4080 4176/4691/4072 -f 4170/4692/4073 4178/4701/4081 4177/4702/4079 4169/4693/4071 -f 4171/4694/4074 4179/4703/4082 4178/4701/4081 4170/4692/4073 -f 4172/4695/4075 4180/4704/4083 4179/4703/4082 4171/4694/4074 -f 4173/4696/4076 4181/4705/4084 4180/4704/4083 4172/4695/4075 -f 4174/4697/4077 4182/4706/4085 4181/4705/4084 4173/4696/4076 -f 4175/4698/4078 4183/4707/4086 4182/4706/4085 4174/4697/4077 -f 4176/4691/4072 4184/4700/4080 4183/4707/4086 4175/4698/4078 -f 4177/4699/4079 4185/4708/4087 4192/4709/4088 4184/4700/4080 -f 4178/4701/4081 4186/4710/4089 4185/4711/4087 4177/4702/4079 -f 4179/4703/4082 4187/4712/4090 4186/4710/4089 4178/4701/4081 -f 4180/4704/4083 4188/4713/4091 4187/4712/4090 4179/4703/4082 -f 4181/4705/4084 4189/4714/4092 4188/4713/4091 4180/4704/4083 -f 4182/4706/4085 4190/4715/4093 4189/4714/4092 4181/4705/4084 -f 4183/4707/4086 4191/4716/4094 4190/4715/4093 4182/4706/4085 -f 4184/4700/4080 4192/4709/4088 4191/4716/4094 4183/4707/4086 -f 4185/4708/4087 4193/4717/4095 4200/4718/4096 4192/4709/4088 -f 4186/4710/4089 4194/4719/4097 4193/4720/4095 4185/4711/4087 -f 4187/4712/4090 4195/4721/4098 4194/4719/4097 4186/4710/4089 -f 4188/4713/4091 4196/4722/4099 4195/4721/4098 4187/4712/4090 -f 4189/4714/4092 4197/4723/4100 4196/4722/4099 4188/4713/4091 -f 4190/4715/4093 4198/4724/4101 4197/4723/4100 4189/4714/4092 -f 4191/4716/4094 4199/4725/4102 4198/4724/4101 4190/4715/4093 -f 4192/4709/4088 4200/4718/4096 4199/4725/4102 4191/4716/4094 -f 4193/4717/4095 4201/4726/4103 4208/4727/4104 4200/4718/4096 -f 4194/4719/4097 4202/4728/4105 4201/4729/4103 4193/4720/4095 -f 4195/4721/4098 4203/4730/4106 4202/4728/4105 4194/4719/4097 -f 4196/4722/4099 4204/4731/4107 4203/4730/4106 4195/4721/4098 -f 4197/4723/4100 4205/4732/4108 4204/4731/4107 4196/4722/4099 -f 4198/4724/4101 4206/4733/4109 4205/4732/4108 4197/4723/4100 -f 4199/4725/4102 4207/4734/4110 4206/4733/4109 4198/4724/4101 -f 4200/4718/4096 4208/4727/4104 4207/4734/4110 4199/4725/4102 -f 4201/4726/4103 4209/4735/4111 4216/4736/4112 4208/4727/4104 -f 4202/4728/4105 4210/4737/4113 4209/4738/4111 4201/4729/4103 -f 4203/4730/4106 4211/4739/4114 4210/4737/4113 4202/4728/4105 -f 4204/4731/4107 4212/4740/4115 4211/4739/4114 4203/4730/4106 -f 4205/4732/4108 4213/4741/4116 4212/4740/4115 4204/4731/4107 -f 4206/4733/4109 4214/4742/4117 4213/4741/4116 4205/4732/4108 -f 4207/4734/4110 4215/4743/4118 4214/4742/4117 4206/4733/4109 -f 4208/4727/4104 4216/4736/4112 4215/4743/4118 4207/4734/4110 -f 4209/4735/4111 4217/4744/4119 4224/4745/4120 4216/4736/4112 -f 4210/4737/4113 4218/4746/4121 4217/4747/4119 4209/4738/4111 -f 4211/4739/4114 4219/4748/4122 4218/4746/4121 4210/4737/4113 -f 4212/4740/4115 4220/4749/4123 4219/4748/4122 4211/4739/4114 -f 4213/4741/4116 4221/4750/4124 4220/4749/4123 4212/4740/4115 -f 4214/4742/4117 4222/4751/4125 4221/4750/4124 4213/4741/4116 -f 4215/4743/4118 4223/4752/4126 4222/4751/4125 4214/4742/4117 -f 4216/4736/4112 4224/4745/4120 4223/4752/4126 4215/4743/4118 -f 4225/4753/4127 4233/4754/4128 4240/4755/4129 4232/4756/4130 -f 4226/4757/4131 4234/4758/4132 4233/4759/4128 4225/4760/4127 -f 4227/4761/4133 4235/4762/4134 4234/4758/4132 4226/4757/4131 -f 4228/4763/4135 4236/4764/4136 4235/4762/4134 4227/4761/4133 -f 4229/4765/4137 4237/4766/4138 4236/4764/4136 4228/4763/4135 -f 4230/4767/4139 4238/4768/4140 4237/4766/4138 4229/4765/4137 -f 4231/4769/4141 4239/4770/4142 4238/4768/4140 4230/4767/4139 -f 4232/4756/4130 4240/4755/4129 4239/4770/4142 4231/4769/4141 -f 4233/4754/4128 4241/4771/4143 4248/4772/4144 4240/4755/4129 -f 4234/4758/4132 4242/4773/4145 4241/4774/4143 4233/4759/4128 -f 4235/4762/4134 4243/4775/4146 4242/4773/4145 4234/4758/4132 -f 4236/4764/4136 4244/4776/4147 4243/4775/4146 4235/4762/4134 -f 4237/4766/4138 4245/4777/4148 4244/4776/4147 4236/4764/4136 -f 4238/4768/4140 4246/4778/4149 4245/4777/4148 4237/4766/4138 -f 4239/4770/4142 4247/4779/4150 4246/4778/4149 4238/4768/4140 -f 4240/4755/4129 4248/4772/4144 4247/4779/4150 4239/4770/4142 -f 4241/4771/4143 4249/4780/4151 4256/4781/4152 4248/4772/4144 -f 4242/4773/4145 4250/4782/4153 4249/4783/4151 4241/4774/4143 -f 4243/4775/4146 4251/4784/4154 4250/4782/4153 4242/4773/4145 -f 4244/4776/4147 4252/4785/4155 4251/4784/4154 4243/4775/4146 -f 4245/4777/4148 4253/4786/4156 4252/4785/4155 4244/4776/4147 -f 4246/4778/4149 4254/4787/4157 4253/4786/4156 4245/4777/4148 -f 4247/4779/4150 4255/4788/4158 4254/4787/4157 4246/4778/4149 -f 4248/4772/4144 4256/4781/4152 4255/4788/4158 4247/4779/4150 -f 4249/4780/4151 4257/4789/4159 4264/4790/4160 4256/4781/4152 -f 4250/4782/4153 4258/4791/4161 4257/4792/4159 4249/4783/4151 -f 4251/4784/4154 4259/4793/4162 4258/4791/4161 4250/4782/4153 -f 4252/4785/4155 4260/4794/4163 4259/4793/4162 4251/4784/4154 -f 4253/4786/4156 4261/4795/4164 4260/4794/4163 4252/4785/4155 -f 4254/4787/4157 4262/4796/4165 4261/4795/4164 4253/4786/4156 -f 4255/4788/4158 4263/4797/4166 4262/4796/4165 4254/4787/4157 -f 4256/4781/4152 4264/4790/4160 4263/4797/4166 4255/4788/4158 -f 4257/4789/4159 4265/4798/4167 4272/4799/4168 4264/4790/4160 -f 4258/4791/4161 4266/4800/4169 4265/4801/4167 4257/4792/4159 -f 4259/4793/4162 4267/4802/4170 4266/4800/4169 4258/4791/4161 -f 4260/4794/4163 4268/4803/4171 4267/4802/4170 4259/4793/4162 -f 4261/4795/4164 4269/4804/4172 4268/4803/4171 4260/4794/4163 -f 4262/4796/4165 4270/4805/4173 4269/4804/4172 4261/4795/4164 -f 4263/4797/4166 4271/4806/4174 4270/4805/4173 4262/4796/4165 -f 4264/4790/4160 4272/4799/4168 4271/4806/4174 4263/4797/4166 -f 4265/4798/4167 4273/4807/4175 4280/4808/4176 4272/4799/4168 -f 4266/4800/4169 4274/4809/4177 4273/4810/4175 4265/4801/4167 -f 4267/4802/4170 4275/4811/4178 4274/4809/4177 4266/4800/4169 -f 4268/4803/4171 4276/4812/4179 4275/4811/4178 4267/4802/4170 -f 4269/4804/4172 4277/4813/4180 4276/4812/4179 4268/4803/4171 -f 4270/4805/4173 4278/4814/4181 4277/4813/4180 4269/4804/4172 -f 4271/4806/4174 4279/4815/4182 4278/4814/4181 4270/4805/4173 -f 4272/4799/4168 4280/4808/4176 4279/4815/4182 4271/4806/4174 -f 4281/4816/4183 4289/4817/4184 4296/4818/4185 4288/4819/4186 -f 4282/4820/4187 4290/4821/4188 4289/4822/4184 4281/4823/4183 -f 4283/4824/4189 4291/4825/4190 4290/4821/4188 4282/4820/4187 -f 4284/4826/4191 4292/4827/4192 4291/4825/4190 4283/4824/4189 -f 4285/4828/4193 4293/4829/4194 4292/4827/4192 4284/4826/4191 -f 4286/4830/4195 4294/4831/4196 4293/4829/4194 4285/4828/4193 -f 4287/4832/4197 4295/4833/4198 4294/4831/4196 4286/4830/4195 -f 4288/4819/4186 4296/4818/4185 4295/4833/4198 4287/4832/4197 -f 4289/4817/4184 4297/4834/4199 4304/4835/4200 4296/4818/4185 -f 4290/4821/4188 4298/4836/4201 4297/4837/4199 4289/4822/4184 -f 4291/4825/4190 4299/4838/4202 4298/4836/4201 4290/4821/4188 -f 4292/4827/4192 4300/4839/4203 4299/4838/4202 4291/4825/4190 -f 4293/4829/4194 4301/4840/4204 4300/4839/4203 4292/4827/4192 -f 4294/4831/4196 4302/4841/4205 4301/4840/4204 4293/4829/4194 -f 4295/4833/4198 4303/4842/4206 4302/4841/4205 4294/4831/4196 -f 4296/4818/4185 4304/4835/4200 4303/4842/4206 4295/4833/4198 -f 4297/4834/4199 4305/4843/4207 4312/4844/4208 4304/4835/4200 -f 4298/4836/4201 4306/4845/4209 4305/4846/4207 4297/4837/4199 -f 4299/4838/4202 4307/4847/4210 4306/4845/4209 4298/4836/4201 -f 4300/4839/4203 4308/4848/4211 4307/4847/4210 4299/4838/4202 -f 4301/4840/4204 4309/4849/4212 4308/4848/4211 4300/4839/4203 -f 4302/4841/4205 4310/4850/4213 4309/4849/4212 4301/4840/4204 -f 4303/4842/4206 4311/4851/4214 4310/4850/4213 4302/4841/4205 -f 4304/4835/4200 4312/4844/4208 4311/4851/4214 4303/4842/4206 -f 4305/4843/4207 4313/4852/4215 4320/4853/4216 4312/4844/4208 -f 4306/4845/4209 4314/4854/4217 4313/4855/4215 4305/4846/4207 -f 4307/4847/4210 4315/4856/4218 4314/4854/4217 4306/4845/4209 -f 4308/4848/4211 4316/4857/4219 4315/4856/4218 4307/4847/4210 -f 4309/4849/4212 4317/4858/4220 4316/4857/4219 4308/4848/4211 -f 4310/4850/4213 4318/4859/4221 4317/4858/4220 4309/4849/4212 -f 4311/4851/4214 4319/4860/4222 4318/4859/4221 4310/4850/4213 -f 4312/4844/4208 4320/4853/4216 4319/4860/4222 4311/4851/4214 -f 4313/4852/4215 4321/4861/4223 4328/4862/4224 4320/4853/4216 -f 4314/4854/4217 4322/4863/4225 4321/4864/4223 4313/4855/4215 -f 4315/4856/4218 4323/4865/4226 4322/4863/4225 4314/4854/4217 -f 4316/4857/4219 4324/4866/4227 4323/4865/4226 4315/4856/4218 -f 4317/4858/4220 4325/4867/4228 4324/4866/4227 4316/4857/4219 -f 4318/4859/4221 4326/4868/4229 4325/4867/4228 4317/4858/4220 -f 4319/4860/4222 4327/4869/4230 4326/4868/4229 4318/4859/4221 -f 4320/4853/4216 4328/4862/4224 4327/4869/4230 4319/4860/4222 -f 4321/4861/4223 4329/4870/4231 4336/4871/4232 4328/4862/4224 -f 4322/4863/4225 4330/4872/4233 4329/4873/4231 4321/4864/4223 -f 4323/4865/4226 4331/4874/4234 4330/4872/4233 4322/4863/4225 -f 4324/4866/4227 4332/4875/4235 4331/4874/4234 4323/4865/4226 -f 4325/4867/4228 4333/4876/4236 4332/4875/4235 4324/4866/4227 -f 4326/4868/4229 4334/4877/4237 4333/4876/4236 4325/4867/4228 -f 4327/4869/4230 4335/4878/4238 4334/4877/4237 4326/4868/4229 -f 4328/4862/4224 4336/4871/4232 4335/4878/4238 4327/4869/4230 -f 4329/4870/4231 4337/4879/4239 4344/4880/4240 4336/4871/4232 -f 4330/4872/4233 4338/4881/4241 4337/4882/4239 4329/4873/4231 -f 4331/4874/4234 4339/4883/4242 4338/4881/4241 4330/4872/4233 -f 4332/4875/4235 4340/4884/4243 4339/4883/4242 4331/4874/4234 -f 4333/4876/4236 4341/4885/4244 4340/4884/4243 4332/4875/4235 -f 4334/4877/4237 4342/4886/4245 4341/4885/4244 4333/4876/4236 -f 4335/4878/4238 4343/4887/4246 4342/4886/4245 4334/4877/4237 -f 4336/4871/4232 4344/4880/4240 4343/4887/4246 4335/4878/4238 -f 4337/4879/4239 4345/4888/4247 4352/4889/4248 4344/4880/4240 -f 4338/4881/4241 4346/4890/4249 4345/4891/4247 4337/4882/4239 -f 4339/4883/4242 4347/4892/4250 4346/4890/4249 4338/4881/4241 -f 4340/4884/4243 4348/4893/4251 4347/4892/4250 4339/4883/4242 -f 4341/4885/4244 4349/4894/4252 4348/4893/4251 4340/4884/4243 -f 4342/4886/4245 4350/4895/4253 4349/4894/4252 4341/4885/4244 -f 4343/4887/4246 4351/4896/4254 4350/4895/4253 4342/4886/4245 -f 4344/4880/4240 4352/4889/4248 4351/4896/4254 4343/4887/4246 -f 4345/4888/4247 4353/4897/4255 4360/4898/4256 4352/4889/4248 -f 4346/4890/4249 4354/4899/4257 4353/4900/4255 4345/4891/4247 -f 4347/4892/4250 4355/4901/4258 4354/4899/4257 4346/4890/4249 -f 4348/4893/4251 4356/4902/4259 4355/4901/4258 4347/4892/4250 -f 4349/4894/4252 4357/4903/4260 4356/4902/4259 4348/4893/4251 -f 4350/4895/4253 4358/4904/4261 4357/4903/4260 4349/4894/4252 -f 4351/4896/4254 4359/4905/4262 4358/4904/4261 4350/4895/4253 -f 4352/4889/4248 4360/4898/4256 4359/4905/4262 4351/4896/4254 -f 4353/4897/4255 4361/4906/4263 4368/4907/4264 4360/4898/4256 -f 4354/4899/4257 4362/4908/4265 4361/4909/4263 4353/4900/4255 -f 4355/4901/4258 4363/4910/4266 4362/4908/4265 4354/4899/4257 -f 4356/4902/4259 4364/4911/4267 4363/4910/4266 4355/4901/4258 -f 4357/4903/4260 4365/4912/4268 4364/4911/4267 4356/4902/4259 -f 4358/4904/4261 4366/4913/4269 4365/4912/4268 4357/4903/4260 -f 4359/4905/4262 4367/4914/4270 4366/4913/4269 4358/4904/4261 -f 4360/4898/4256 4368/4907/4264 4367/4914/4270 4359/4905/4262 -f 4361/4906/4263 4369/4915/4271 4376/4916/4272 4368/4907/4264 -f 4362/4908/4265 4370/4917/4273 4369/4918/4271 4361/4909/4263 -f 4363/4910/4266 4371/4919/4274 4370/4917/4273 4362/4908/4265 -f 4364/4911/4267 4372/4920/4275 4371/4919/4274 4363/4910/4266 -f 4365/4912/4268 4373/4921/4276 4372/4920/4275 4364/4911/4267 -f 4366/4913/4269 4374/4922/4277 4373/4921/4276 4365/4912/4268 -f 4367/4914/4270 4375/4923/4278 4374/4922/4277 4366/4913/4269 -f 4368/4907/4264 4376/4916/4272 4375/4923/4278 4367/4914/4270 -f 4369/4915/4271 4377/4924/4279 4384/4925/4280 4376/4916/4272 -f 4370/4917/4273 4378/4926/4281 4377/4927/4279 4369/4918/4271 -f 4371/4919/4274 4379/4928/4282 4378/4926/4281 4370/4917/4273 -f 4372/4920/4275 4380/4929/4283 4379/4928/4282 4371/4919/4274 -f 4373/4921/4276 4381/4930/4284 4380/4929/4283 4372/4920/4275 -f 4374/4922/4277 4382/4931/4285 4381/4930/4284 4373/4921/4276 -f 4375/4923/4278 4383/4932/4286 4382/4931/4285 4374/4922/4277 -f 4376/4916/4272 4384/4925/4280 4383/4932/4286 4375/4923/4278 -f 4385/4933/4287 4393/4934/4288 4400/4935/4289 4392/4936/4290 -f 4386/4937/4291 4394/4938/4292 4393/4939/4288 4385/4940/4287 -f 4387/4941/4293 4395/4942/4294 4394/4938/4292 4386/4937/4291 -f 4388/4943/4295 4396/4944/4296 4395/4942/4294 4387/4941/4293 -f 4389/4945/4297 4397/4946/4298 4396/4944/4296 4388/4943/4295 -f 4390/4947/4299 4398/4948/4300 4397/4946/4298 4389/4945/4297 -f 4391/4949/4301 4399/4950/4302 4398/4948/4300 4390/4947/4299 -f 4392/4936/4290 4400/4935/4289 4399/4950/4302 4391/4949/4301 -f 4393/4934/4288 4401/4951/4303 4408/4952/4304 4400/4935/4289 -f 4394/4938/4292 4402/4953/4305 4401/4954/4303 4393/4939/4288 -f 4395/4942/4294 4403/4955/4306 4402/4953/4305 4394/4938/4292 -f 4396/4944/4296 4404/4956/4307 4403/4955/4306 4395/4942/4294 -f 4397/4946/4298 4405/4957/4308 4404/4956/4307 4396/4944/4296 -f 4398/4948/4300 4406/4958/4309 4405/4957/4308 4397/4946/4298 -f 4399/4950/4302 4407/4959/4310 4406/4958/4309 4398/4948/4300 -f 4400/4935/4289 4408/4952/4304 4407/4959/4310 4399/4950/4302 -f 4401/4951/4303 4409/4960/4311 4416/4961/4312 4408/4952/4304 -f 4402/4953/4305 4410/4962/4313 4409/4963/4311 4401/4954/4303 -f 4403/4955/4306 4411/4964/4314 4410/4962/4313 4402/4953/4305 -f 4404/4956/4307 4412/4965/4315 4411/4964/4314 4403/4955/4306 -f 4405/4957/4308 4413/4966/4316 4412/4965/4315 4404/4956/4307 -f 4406/4958/4309 4414/4967/4317 4413/4966/4316 4405/4957/4308 -f 4407/4959/4310 4415/4968/4318 4414/4967/4317 4406/4958/4309 -f 4408/4952/4304 4416/4961/4312 4415/4968/4318 4407/4959/4310 -f 4409/4960/4311 4417/4969/4319 4424/4970/4320 4416/4961/4312 -f 4410/4962/4313 4418/4971/4321 4417/4972/4319 4409/4963/4311 -f 4411/4964/4314 4419/4973/4322 4418/4971/4321 4410/4962/4313 -f 4412/4965/4315 4420/4974/4323 4419/4973/4322 4411/4964/4314 -f 4413/4966/4316 4421/4975/4324 4420/4974/4323 4412/4965/4315 -f 4414/4967/4317 4422/4976/4325 4421/4975/4324 4413/4966/4316 -f 4415/4968/4318 4423/4977/4326 4422/4976/4325 4414/4967/4317 -f 4416/4961/4312 4424/4970/4320 4423/4977/4326 4415/4968/4318 -f 4417/4969/4319 4425/4978/4327 4432/4979/4328 4424/4970/4320 -f 4418/4971/4321 4426/4980/4329 4425/4981/4327 4417/4972/4319 -f 4419/4973/4322 4427/4982/4330 4426/4980/4329 4418/4971/4321 -f 4420/4974/4323 4428/4983/4331 4427/4982/4330 4419/4973/4322 -f 4421/4975/4324 4429/4984/4332 4428/4983/4331 4420/4974/4323 -f 4422/4976/4325 4430/4985/4333 4429/4984/4332 4421/4975/4324 -f 4423/4977/4326 4431/4986/4334 4430/4985/4333 4422/4976/4325 -f 4424/4970/4320 4432/4979/4328 4431/4986/4334 4423/4977/4326 -f 4425/4978/4327 4433/4987/4335 4440/4988/4336 4432/4979/4328 -f 4426/4980/4329 4434/4989/4337 4433/4990/4335 4425/4981/4327 -f 4427/4982/4330 4435/4991/4338 4434/4989/4337 4426/4980/4329 -f 4428/4983/4331 4436/4992/4339 4435/4991/4338 4427/4982/4330 -f 4429/4984/4332 4437/4993/4340 4436/4992/4339 4428/4983/4331 -f 4430/4985/4333 4438/4994/4341 4437/4993/4340 4429/4984/4332 -f 4431/4986/4334 4439/4995/4342 4438/4994/4341 4430/4985/4333 -f 4432/4979/4328 4440/4988/4336 4439/4995/4342 4431/4986/4334 -f 4441/4996/4343 4449/4997/4344 4456/4998/4345 4448/4999/4346 -f 4442/5000/4347 4450/5001/4348 4449/5002/4344 4441/5003/4343 -f 4443/5004/4349 4451/5005/4350 4450/5001/4348 4442/5000/4347 -f 4444/5006/4351 4452/5007/4352 4451/5005/4350 4443/5004/4349 -f 4445/5008/4353 4453/5009/4354 4452/5007/4352 4444/5006/4351 -f 4446/5010/4355 4454/5011/4356 4453/5009/4354 4445/5008/4353 -f 4447/5012/4357 4455/5013/4358 4454/5011/4356 4446/5010/4355 -f 4448/4999/4346 4456/4998/4345 4455/5013/4358 4447/5012/4357 -f 4449/4997/4344 4457/5014/4359 4464/5015/4360 4456/4998/4345 -f 4450/5001/4348 4458/5016/4361 4457/5017/4359 4449/5002/4344 -f 4451/5005/4350 4459/5018/4362 4458/5016/4361 4450/5001/4348 -f 4452/5007/4352 4460/5019/4363 4459/5018/4362 4451/5005/4350 -f 4453/5009/4354 4461/5020/4364 4460/5019/4363 4452/5007/4352 -f 4454/5011/4356 4462/5021/4365 4461/5020/4364 4453/5009/4354 -f 4455/5013/4358 4463/5022/4366 4462/5021/4365 4454/5011/4356 -f 4456/4998/4345 4464/5015/4360 4463/5022/4366 4455/5013/4358 -f 4457/5014/4359 4465/5023/4367 4472/5024/4368 4464/5015/4360 -f 4458/5016/4361 4466/5025/4369 4465/5026/4367 4457/5017/4359 -f 4459/5018/4362 4467/5027/4370 4466/5025/4369 4458/5016/4361 -f 4460/5019/4363 4468/5028/4371 4467/5027/4370 4459/5018/4362 -f 4461/5020/4364 4469/5029/4372 4468/5028/4371 4460/5019/4363 -f 4462/5021/4365 4470/5030/4373 4469/5029/4372 4461/5020/4364 -f 4463/5022/4366 4471/5031/4374 4470/5030/4373 4462/5021/4365 -f 4464/5015/4360 4472/5024/4368 4471/5031/4374 4463/5022/4366 -f 4465/5023/4367 4473/5032/4375 4480/5033/4376 4472/5024/4368 -f 4466/5025/4369 4474/5034/4377 4473/5035/4375 4465/5026/4367 -f 4467/5027/4370 4475/5036/4378 4474/5034/4377 4466/5025/4369 -f 4468/5028/4371 4476/5037/4379 4475/5036/4378 4467/5027/4370 -f 4469/5029/4372 4477/5038/4380 4476/5037/4379 4468/5028/4371 -f 4470/5030/4373 4478/5039/4381 4477/5038/4380 4469/5029/4372 -f 4471/5031/4374 4479/5040/4382 4478/5039/4381 4470/5030/4373 -f 4472/5024/4368 4480/5033/4376 4479/5040/4382 4471/5031/4374 -f 4473/5032/4375 4481/5041/4383 4488/5042/4384 4480/5033/4376 -f 4474/5034/4377 4482/5043/4385 4481/5044/4383 4473/5035/4375 -f 4475/5036/4378 4483/5045/4386 4482/5043/4385 4474/5034/4377 -f 4476/5037/4379 4484/5046/4387 4483/5045/4386 4475/5036/4378 -f 4477/5038/4380 4485/5047/4388 4484/5046/4387 4476/5037/4379 -f 4478/5039/4381 4486/5048/4389 4485/5047/4388 4477/5038/4380 -f 4479/5040/4382 4487/5049/4390 4486/5048/4389 4478/5039/4381 -f 4480/5033/4376 4488/5042/4384 4487/5049/4390 4479/5040/4382 -f 4481/5041/4383 4489/5050/4391 4496/5051/4392 4488/5042/4384 -f 4482/5043/4385 4490/5052/4393 4489/5053/4391 4481/5044/4383 -f 4483/5045/4386 4491/5054/4394 4490/5052/4393 4482/5043/4385 -f 4484/5046/4387 4492/5055/4395 4491/5054/4394 4483/5045/4386 -f 4485/5047/4388 4493/5056/4396 4492/5055/4395 4484/5046/4387 -f 4486/5048/4389 4494/5057/4397 4493/5056/4396 4485/5047/4388 -f 4487/5049/4390 4495/5058/4398 4494/5057/4397 4486/5048/4389 -f 4488/5042/4384 4496/5051/4392 4495/5058/4398 4487/5049/4390 -f 4489/5050/4391 4497/5059/4399 4504/5060/4400 4496/5051/4392 -f 4490/5052/4393 4498/5061/4401 4497/5062/4399 4489/5053/4391 -f 4491/5054/4394 4499/5063/4402 4498/5061/4401 4490/5052/4393 -f 4492/5055/4395 4500/5064/4403 4499/5063/4402 4491/5054/4394 -f 4493/5056/4396 4501/5065/4404 4500/5064/4403 4492/5055/4395 -f 4494/5057/4397 4502/5066/4405 4501/5065/4404 4493/5056/4396 -f 4495/5058/4398 4503/5067/4406 4502/5066/4405 4494/5057/4397 -f 4496/5051/4392 4504/5060/4400 4503/5067/4406 4495/5058/4398 -f 4497/5059/4399 4505/5068/4407 4512/5069/4408 4504/5060/4400 -f 4498/5061/4401 4506/5070/4409 4505/5071/4407 4497/5062/4399 -f 4499/5063/4402 4507/5072/4410 4506/5070/4409 4498/5061/4401 -f 4500/5064/4403 4508/5073/4411 4507/5072/4410 4499/5063/4402 -f 4501/5065/4404 4509/5074/4412 4508/5073/4411 4500/5064/4403 -f 4502/5066/4405 4510/5075/4413 4509/5074/4412 4501/5065/4404 -f 4503/5067/4406 4511/5076/4414 4510/5075/4413 4502/5066/4405 -f 4504/5060/4400 4512/5069/4408 4511/5076/4414 4503/5067/4406 -f 4505/5068/4407 4513/5077/4415 4520/5078/4416 4512/5069/4408 -f 4506/5070/4409 4514/5079/4417 4513/5080/4415 4505/5071/4407 -f 4507/5072/4410 4515/5081/4418 4514/5079/4417 4506/5070/4409 -f 4508/5073/4411 4516/5082/4419 4515/5081/4418 4507/5072/4410 -f 4509/5074/4412 4517/5083/4420 4516/5082/4419 4508/5073/4411 -f 4510/5075/4413 4518/5084/4421 4517/5083/4420 4509/5074/4412 -f 4511/5076/4414 4519/5085/4422 4518/5084/4421 4510/5075/4413 -f 4512/5069/4408 4520/5078/4416 4519/5085/4422 4511/5076/4414 -f 4521/5086/4423 4529/5087/4423 4536/5088/4424 4528/5089/4424 -f 4522/5090/4425 4530/5091/4425 4529/5092/4423 4521/5093/4423 -f 4523/5094/4426 4531/5095/4426 4530/5091/4425 4522/5090/4425 -f 4524/5096/4427 4532/5097/4428 4531/5095/4426 4523/5094/4426 -f 4525/5098/4429 4533/5099/4430 4532/5097/4428 4524/5096/4427 -f 4526/5100/4431 4534/5101/4431 4533/5099/4430 4525/5098/4429 -f 4527/5102/4432 4535/5103/4432 4534/5101/4431 4526/5100/4431 -f 4528/5089/4424 4536/5088/4424 4535/5103/4432 4527/5102/4432 -f 4529/5087/4423 4537/5104/4433 4544/5105/4424 4536/5088/4424 -f 4530/5091/4425 4538/5106/4434 4537/5107/4433 4529/5092/4423 -f 4531/5095/4426 4539/5108/4435 4538/5106/4434 4530/5091/4425 -f 4532/5097/4428 4540/5109/4427 4539/5108/4435 4531/5095/4426 -f 4533/5099/4430 4541/5110/4436 4540/5109/4427 4532/5097/4428 -f 4534/5101/4431 4542/5111/4431 4541/5110/4436 4533/5099/4430 -f 4535/5103/4432 4543/5112/4437 4542/5111/4431 4534/5101/4431 -f 4536/5088/4424 4544/5105/4424 4543/5112/4437 4535/5103/4432 -f 4537/5104/4433 4545/5113/4433 4552/5114/4438 4544/5105/4424 -f 4538/5106/4434 4546/5115/4434 4545/5116/4433 4537/5107/4433 -f 4539/5108/4435 4547/5117/4439 4546/5115/4434 4538/5106/4434 -f 4540/5109/4427 4548/5118/4440 4547/5117/4439 4539/5108/4435 -f 4541/5110/4436 4549/5119/4441 4548/5118/4440 4540/5109/4427 -f 4542/5111/4431 4550/5120/4442 4549/5119/4441 4541/5110/4436 -f 4543/5112/4437 4551/5121/4443 4550/5120/4442 4542/5111/4431 -f 4544/5105/4424 4552/5114/4438 4551/5121/4443 4543/5112/4437 -f 4553/5122/4444 4561/5123/4444 4568/5124/4445 4560/5125/4445 -f 4554/5126/4446 4562/5127/4446 4561/5128/4444 4553/5129/4444 -f 4555/5130/4447 4563/5131/4448 4562/5127/4446 4554/5126/4446 -f 4556/5132/4449 4564/5133/4449 4563/5131/4448 4555/5130/4447 -f 4557/5134/4450 4565/5135/4451 4564/5133/4449 4556/5132/4449 -f 4558/5136/4452 4566/5137/4452 4565/5135/4451 4557/5134/4450 -f 4559/5138/4453 4567/5139/4453 4566/5137/4452 4558/5136/4452 -f 4560/5125/4445 4568/5124/4445 4567/5139/4453 4559/5138/4453 -f 4561/5123/4444 4569/5140/4454 4576/5141/4445 4568/5124/4445 -f 4562/5127/4446 4570/5142/4455 4569/5143/4454 4561/5128/4444 -f 4563/5131/4448 4571/5144/4448 4570/5142/4455 4562/5127/4446 -f 4564/5133/4449 4572/5145/4456 4571/5144/4448 4563/5131/4448 -f 4565/5135/4451 4573/5146/4451 4572/5145/4456 4564/5133/4449 -f 4566/5137/4452 4574/5147/4457 4573/5146/4451 4565/5135/4451 -f 4567/5139/4453 4575/5148/4458 4574/5147/4457 4566/5137/4452 -f 4568/5124/4445 4576/5141/4445 4575/5148/4458 4567/5139/4453 -f 4569/5140/4454 4577/5149/4454 4584/5150/4459 4576/5141/4445 -f 4570/5142/4455 4578/5151/4460 4577/5152/4454 4569/5143/4454 -f 4571/5144/4448 4579/5153/4461 4578/5151/4460 4570/5142/4455 -f 4572/5145/4456 4580/5154/4456 4579/5153/4461 4571/5144/4448 -f 4573/5146/4451 4581/5155/4462 4580/5154/4456 4572/5145/4456 -f 4574/5147/4457 4582/5156/4463 4581/5155/4462 4573/5146/4451 -f 4575/5148/4458 4583/5157/4464 4582/5156/4463 4574/5147/4457 -f 4576/5141/4445 4584/5150/4459 4583/5157/4464 4575/5148/4458 -f 4585/5158/4465 4593/5159/4466 4600/5160/4467 4592/5161/4468 -f 4586/5162/4469 4594/5163/4470 4593/5164/4466 4585/5165/4465 -f 4587/5166/4471 4595/5167/4472 4594/5163/4470 4586/5162/4469 -f 4588/5168/4473 4596/5169/4474 4595/5167/4472 4587/5166/4471 -f 4589/5170/4475 4597/5171/4476 4596/5169/4474 4588/5168/4473 -f 4590/5172/4477 4598/5173/4478 4597/5171/4476 4589/5170/4475 -f 4591/5174/4479 4599/5175/4480 4598/5173/4478 4590/5172/4477 -f 4592/5161/4468 4600/5160/4467 4599/5175/4480 4591/5174/4479 -f 4593/5159/4466 4601/5176/4481 4608/5177/4482 4600/5160/4467 -f 4594/5163/4470 4602/5178/4483 4601/5179/4481 4593/5164/4466 -f 4595/5167/4472 4603/5180/4484 4602/5178/4483 4594/5163/4470 -f 4596/5169/4474 4604/5181/4485 4603/5180/4484 4595/5167/4472 -f 4597/5171/4476 4605/5182/4486 4604/5181/4485 4596/5169/4474 -f 4598/5173/4478 4606/5183/4487 4605/5182/4486 4597/5171/4476 -f 4599/5175/4480 4607/5184/4488 4606/5183/4487 4598/5173/4478 -f 4600/5160/4467 4608/5177/4482 4607/5184/4488 4599/5175/4480 -f 4601/5176/4481 4609/5185/4489 4616/5186/4490 4608/5177/4482 -f 4602/5178/4483 4610/5187/4491 4609/5188/4489 4601/5179/4481 -f 4603/5180/4484 4611/5189/4492 4610/5187/4491 4602/5178/4483 -f 4604/5181/4485 4612/5190/4493 4611/5189/4492 4603/5180/4484 -f 4605/5182/4486 4613/5191/4494 4612/5190/4493 4604/5181/4485 -f 4606/5183/4487 4614/5192/4495 4613/5191/4494 4605/5182/4486 -f 4607/5184/4488 4615/5193/4496 4614/5192/4495 4606/5183/4487 -f 4608/5177/4482 4616/5186/4490 4615/5193/4496 4607/5184/4488 -f 4609/5185/4489 4617/5194/4497 4624/5195/4498 4616/5186/4490 -f 4610/5187/4491 4618/5196/4499 4617/5197/4497 4609/5188/4489 -f 4611/5189/4492 4619/5198/4500 4618/5196/4499 4610/5187/4491 -f 4612/5190/4493 4620/5199/4501 4619/5198/4500 4611/5189/4492 -f 4613/5191/4494 4621/5200/4502 4620/5199/4501 4612/5190/4493 -f 4614/5192/4495 4622/5201/4503 4621/5200/4502 4613/5191/4494 -f 4615/5193/4496 4623/5202/4504 4622/5201/4503 4614/5192/4495 -f 4616/5186/4490 4624/5195/4498 4623/5202/4504 4615/5193/4496 -f 4617/5194/4497 4625/5203/4505 4632/5204/4506 4624/5195/4498 -f 4618/5196/4499 4626/5205/4507 4625/5206/4505 4617/5197/4497 -f 4619/5198/4500 4627/5207/4508 4626/5205/4507 4618/5196/4499 -f 4620/5199/4501 4628/5208/4509 4627/5207/4508 4619/5198/4500 -f 4621/5200/4502 4629/5209/4510 4628/5208/4509 4620/5199/4501 -f 4622/5201/4503 4630/5210/4511 4629/5209/4510 4621/5200/4502 -f 4623/5202/4504 4631/5211/4512 4630/5210/4511 4622/5201/4503 -f 4624/5195/4498 4632/5204/4506 4631/5211/4512 4623/5202/4504 -f 4625/5203/4505 4633/5212/4513 4640/5213/4514 4632/5204/4506 -f 4626/5205/4507 4634/5214/4515 4633/5215/4513 4625/5206/4505 -f 4627/5207/4508 4635/5216/4516 4634/5214/4515 4626/5205/4507 -f 4628/5208/4509 4636/5217/4517 4635/5216/4516 4627/5207/4508 -f 4629/5209/4510 4637/5218/4518 4636/5217/4517 4628/5208/4509 -f 4630/5210/4511 4638/5219/4519 4637/5218/4518 4629/5209/4510 -f 4631/5211/4512 4639/5220/4520 4638/5219/4519 4630/5210/4511 -f 4632/5204/4506 4640/5213/4514 4639/5220/4520 4631/5211/4512 -f 4633/5212/4513 4641/5221/4521 4648/5222/4522 4640/5213/4514 -f 4634/5214/4515 4642/5223/4523 4641/5224/4521 4633/5215/4513 -f 4635/5216/4516 4643/5225/4524 4642/5223/4523 4634/5214/4515 -f 4636/5217/4517 4644/5226/4525 4643/5225/4524 4635/5216/4516 -f 4637/5218/4518 4645/5227/4526 4644/5226/4525 4636/5217/4517 -f 4638/5219/4519 4646/5228/4527 4645/5227/4526 4637/5218/4518 -f 4639/5220/4520 4647/5229/4528 4646/5228/4527 4638/5219/4519 -f 4640/5213/4514 4648/5222/4522 4647/5229/4528 4639/5220/4520 -f 4641/5221/4521 4649/5230/4529 4656/5231/4530 4648/5222/4522 -f 4642/5223/4523 4650/5232/4531 4649/5233/4529 4641/5224/4521 -f 4643/5225/4524 4651/5234/4532 4650/5232/4531 4642/5223/4523 -f 4644/5226/4525 4652/5235/4533 4651/5234/4532 4643/5225/4524 -f 4645/5227/4526 4653/5236/4534 4652/5235/4533 4644/5226/4525 -f 4646/5228/4527 4654/5237/4535 4653/5236/4534 4645/5227/4526 -f 4647/5229/4528 4655/5238/4536 4654/5237/4535 4646/5228/4527 -f 4648/5222/4522 4656/5231/4530 4655/5238/4536 4647/5229/4528 -f 4649/5230/4529 4657/5239/4537 4664/5240/4538 4656/5231/4530 -f 4650/5232/4531 4658/5241/4539 4657/5242/4537 4649/5233/4529 -f 4651/5234/4532 4659/5243/4540 4658/5241/4539 4650/5232/4531 -f 4652/5235/4533 4660/5244/4541 4659/5243/4540 4651/5234/4532 -f 4653/5236/4534 4661/5245/4542 4660/5244/4541 4652/5235/4533 -f 4654/5237/4535 4662/5246/4543 4661/5245/4542 4653/5236/4534 -f 4655/5238/4536 4663/5247/4544 4662/5246/4543 4654/5237/4535 -f 4656/5231/4530 4664/5240/4538 4663/5247/4544 4655/5238/4536 -f 4657/5239/4537 4665/5248/4545 4672/5249/4546 4664/5240/4538 -f 4658/5241/4539 4666/5250/4547 4665/5251/4545 4657/5242/4537 -f 4659/5243/4540 4667/5252/4548 4666/5250/4547 4658/5241/4539 -f 4660/5244/4541 4668/5253/4549 4667/5252/4548 4659/5243/4540 -f 4661/5245/4542 4669/5254/4550 4668/5253/4549 4660/5244/4541 -f 4662/5246/4543 4670/5255/4551 4669/5254/4550 4661/5245/4542 -f 4663/5247/4544 4671/5256/4552 4670/5255/4551 4662/5246/4543 -f 4664/5240/4538 4672/5249/4546 4671/5256/4552 4663/5247/4544 -f 4665/5248/4545 4673/5257/4553 4680/5258/4554 4672/5249/4546 -f 4666/5250/4547 4674/5259/4555 4673/5260/4553 4665/5251/4545 -f 4667/5252/4548 4675/5261/4556 4674/5259/4555 4666/5250/4547 -f 4668/5253/4549 4676/5262/4557 4675/5261/4556 4667/5252/4548 -f 4669/5254/4550 4677/5263/4558 4676/5262/4557 4668/5253/4549 -f 4670/5255/4551 4678/5264/4559 4677/5263/4558 4669/5254/4550 -f 4671/5256/4552 4679/5265/4560 4678/5264/4559 4670/5255/4551 -f 4672/5249/4546 4680/5258/4554 4679/5265/4560 4671/5256/4552 -f 4673/5257/4553 4681/5266/4561 4688/5267/4562 4680/5258/4554 -f 4674/5259/4555 4682/5268/4563 4681/5269/4561 4673/5260/4553 -f 4675/5261/4556 4683/5270/4564 4682/5268/4563 4674/5259/4555 -f 4676/5262/4557 4684/5271/4565 4683/5270/4564 4675/5261/4556 -f 4677/5263/4558 4685/5272/4566 4684/5271/4565 4676/5262/4557 -f 4678/5264/4559 4686/5273/4567 4685/5272/4566 4677/5263/4558 -f 4679/5265/4560 4687/5274/4568 4686/5273/4567 4678/5264/4559 -f 4680/5258/4554 4688/5267/4562 4687/5274/4568 4679/5265/4560 -f 4689/5275/4569 4697/5276/4570 4704/5277/4571 4696/5278/4572 -f 4690/5279/4573 4698/5280/4574 4697/5281/4570 4689/5282/4569 -f 4691/5283/4575 4699/5284/4576 4698/5280/4574 4690/5279/4573 -f 4692/5285/4577 4700/5286/4578 4699/5284/4576 4691/5283/4575 -f 4693/5287/4579 4701/5288/4580 4700/5286/4578 4692/5285/4577 -f 4694/5289/4581 4702/5290/4582 4701/5288/4580 4693/5287/4579 -f 4695/5291/4583 4703/5292/4584 4702/5290/4582 4694/5289/4581 -f 4696/5278/4572 4704/5277/4571 4703/5292/4584 4695/5291/4583 -f 4697/5276/4570 4705/5293/4585 4712/5294/4586 4704/5277/4571 -f 4698/5280/4574 4706/5295/4587 4705/5296/4585 4697/5281/4570 -f 4699/5284/4576 4707/5297/4588 4706/5295/4587 4698/5280/4574 -f 4700/5286/4578 4708/5298/4589 4707/5297/4588 4699/5284/4576 -f 4701/5288/4580 4709/5299/4590 4708/5298/4589 4700/5286/4578 -f 4702/5290/4582 4710/5300/4591 4709/5299/4590 4701/5288/4580 -f 4703/5292/4584 4711/5301/4592 4710/5300/4591 4702/5290/4582 -f 4704/5277/4571 4712/5294/4586 4711/5301/4592 4703/5292/4584 -f 4705/5293/4585 4713/5302/4593 4720/5303/4594 4712/5294/4586 -f 4706/5295/4587 4714/5304/4595 4713/5305/4593 4705/5296/4585 -f 4707/5297/4588 4715/5306/4596 4714/5304/4595 4706/5295/4587 -f 4708/5298/4589 4716/5307/4597 4715/5306/4596 4707/5297/4588 -f 4709/5299/4590 4717/5308/4598 4716/5307/4597 4708/5298/4589 -f 4710/5300/4591 4718/5309/4599 4717/5308/4598 4709/5299/4590 -f 4711/5301/4592 4719/5310/4600 4718/5309/4599 4710/5300/4591 -f 4712/5294/4586 4720/5303/4594 4719/5310/4600 4711/5301/4592 -f 4713/5302/4593 4721/5311/4601 4728/5312/4602 4720/5303/4594 -f 4714/5304/4595 4722/5313/4603 4721/5314/4601 4713/5305/4593 -f 4715/5306/4596 4723/5315/4604 4722/5313/4603 4714/5304/4595 -f 4716/5307/4597 4724/5316/4605 4723/5315/4604 4715/5306/4596 -f 4717/5308/4598 4725/5317/4606 4724/5316/4605 4716/5307/4597 -f 4718/5309/4599 4726/5318/4607 4725/5317/4606 4717/5308/4598 -f 4719/5310/4600 4727/5319/4608 4726/5318/4607 4718/5309/4599 -f 4720/5303/4594 4728/5312/4602 4727/5319/4608 4719/5310/4600 -f 4721/5311/4601 4729/5320/4609 4736/5321/4610 4728/5312/4602 -f 4722/5313/4603 4730/5322/4611 4729/5323/4609 4721/5314/4601 -f 4723/5315/4604 4731/5324/4612 4730/5322/4611 4722/5313/4603 -f 4724/5316/4605 4732/5325/4613 4731/5324/4612 4723/5315/4604 -f 4725/5317/4606 4733/5326/4614 4732/5325/4613 4724/5316/4605 -f 4726/5318/4607 4734/5327/4615 4733/5326/4614 4725/5317/4606 -f 4727/5319/4608 4735/5328/4616 4734/5327/4615 4726/5318/4607 -f 4728/5312/4602 4736/5321/4610 4735/5328/4616 4727/5319/4608 -f 4729/5320/4609 4737/5329/4617 4744/5330/4618 4736/5321/4610 -f 4730/5322/4611 4738/5331/4619 4737/5332/4617 4729/5323/4609 -f 4731/5324/4612 4739/5333/4620 4738/5331/4619 4730/5322/4611 -f 4732/5325/4613 4740/5334/4621 4739/5333/4620 4731/5324/4612 -f 4733/5326/4614 4741/5335/4622 4740/5334/4621 4732/5325/4613 -f 4734/5327/4615 4742/5336/4623 4741/5335/4622 4733/5326/4614 -f 4735/5328/4616 4743/5337/4624 4742/5336/4623 4734/5327/4615 -f 4736/5321/4610 4744/5330/4618 4743/5337/4624 4735/5328/4616 -f 4737/5329/4617 4745/5338/4625 4752/5339/4626 4744/5330/4618 -f 4738/5331/4619 4746/5340/4627 4745/5341/4625 4737/5332/4617 -f 4739/5333/4620 4747/5342/4628 4746/5340/4627 4738/5331/4619 -f 4740/5334/4621 4748/5343/4629 4747/5342/4628 4739/5333/4620 -f 4741/5335/4622 4749/5344/4630 4748/5343/4629 4740/5334/4621 -f 4742/5336/4623 4750/5345/4631 4749/5344/4630 4741/5335/4622 -f 4743/5337/4624 4751/5346/4632 4750/5345/4631 4742/5336/4623 -f 4744/5330/4618 4752/5339/4626 4751/5346/4632 4743/5337/4624 -f 4745/5338/4625 4753/5347/4633 4760/5348/4634 4752/5339/4626 -f 4746/5340/4627 4754/5349/4635 4753/5350/4633 4745/5341/4625 -f 4747/5342/4628 4755/5351/4636 4754/5349/4635 4746/5340/4627 -f 4748/5343/4629 4756/5352/4637 4755/5351/4636 4747/5342/4628 -f 4749/5344/4630 4757/5353/4638 4756/5352/4637 4748/5343/4629 -f 4750/5345/4631 4758/5354/4639 4757/5353/4638 4749/5344/4630 -f 4751/5346/4632 4759/5355/4640 4758/5354/4639 4750/5345/4631 -f 4752/5339/4626 4760/5348/4634 4759/5355/4640 4751/5346/4632 -f 4753/5347/4633 4761/5356/4641 4768/5357/4642 4760/5348/4634 -f 4754/5349/4635 4762/5358/4643 4761/5359/4641 4753/5350/4633 -f 4755/5351/4636 4763/5360/4644 4762/5358/4643 4754/5349/4635 -f 4756/5352/4637 4764/5361/4645 4763/5360/4644 4755/5351/4636 -f 4757/5353/4638 4765/5362/4646 4764/5361/4645 4756/5352/4637 -f 4758/5354/4639 4766/5363/4647 4765/5362/4646 4757/5353/4638 -f 4759/5355/4640 4767/5364/4648 4766/5363/4647 4758/5354/4639 -f 4760/5348/4634 4768/5357/4642 4767/5364/4648 4759/5355/4640 -f 4769/5365/4649 4777/5366/4649 4784/5367/4650 4776/5368/4650 -f 4770/5369/4651 4778/5370/4651 4777/5371/4649 4769/5372/4649 -f 4771/5373/4652 4779/5374/4653 4778/5370/4651 4770/5369/4651 -f 4772/5375/4654 4780/5376/4654 4779/5374/4653 4771/5373/4652 -f 4773/5377/4655 4781/5378/4655 4780/5376/4654 4772/5375/4654 -f 4774/5379/4656 4782/5380/4656 4781/5378/4655 4773/5377/4655 -f 4775/5381/4657 4783/5382/4658 4782/5380/4656 4774/5379/4656 -f 4776/5368/4650 4784/5367/4650 4783/5382/4658 4775/5381/4657 -f 4777/5366/4649 4785/5383/4659 4792/5384/4650 4784/5367/4650 -f 4778/5370/4651 4786/5385/4660 4785/5386/4659 4777/5371/4649 -f 4779/5374/4653 4787/5387/4661 4786/5385/4660 4778/5370/4651 -f 4780/5376/4654 4788/5388/4654 4787/5387/4661 4779/5374/4653 -f 4781/5378/4655 4789/5389/4662 4788/5388/4654 4780/5376/4654 -f 4782/5380/4656 4790/5390/4663 4789/5389/4662 4781/5378/4655 -f 4783/5382/4658 4791/5391/4658 4790/5390/4663 4782/5380/4656 -f 4784/5367/4650 4792/5384/4650 4791/5391/4658 4783/5382/4658 -f 4785/5383/4659 4793/5392/4664 4800/5393/4665 4792/5384/4650 -f 4786/5385/4660 4794/5394/4660 4793/5395/4664 4785/5386/4659 -f 4787/5387/4661 4795/5396/4666 4794/5394/4660 4786/5385/4660 -f 4788/5388/4654 4796/5397/4667 4795/5396/4666 4787/5387/4661 -f 4789/5389/4662 4797/5398/4662 4796/5397/4667 4788/5388/4654 -f 4790/5390/4663 4798/5399/4663 4797/5398/4662 4789/5389/4662 -f 4791/5391/4658 4799/5400/4668 4798/5399/4663 4790/5390/4663 -f 4792/5384/4650 4800/5393/4665 4799/5400/4668 4791/5391/4658 -f 4801/5401/4669 4809/5402/4670 4816/5403/4671 4808/5404/4672 -f 4802/5405/4673 4810/5406/4674 4809/5407/4670 4801/5408/4669 -f 4803/5409/4675 4811/5410/4676 4810/5406/4674 4802/5405/4673 -f 4804/5411/4677 4812/5412/4678 4811/5410/4676 4803/5409/4675 -f 4805/5413/4679 4813/5414/4680 4812/5412/4678 4804/5411/4677 -f 4806/5415/4681 4814/5416/4682 4813/5414/4680 4805/5413/4679 -f 4807/5417/4683 4815/5418/4684 4814/5416/4682 4806/5415/4681 -f 4808/5404/4672 4816/5403/4671 4815/5418/4684 4807/5417/4683 -f 4809/5402/4670 4817/5419/4685 4824/5420/4686 4816/5403/4671 -f 4810/5406/4674 4818/5421/4687 4817/5422/4685 4809/5407/4670 -f 4811/5410/4676 4819/5423/4688 4818/5421/4687 4810/5406/4674 -f 4812/5412/4678 4820/5424/4689 4819/5423/4688 4811/5410/4676 -f 4813/5414/4680 4821/5425/4690 4820/5424/4689 4812/5412/4678 -f 4814/5416/4682 4822/5426/4691 4821/5425/4690 4813/5414/4680 -f 4815/5418/4684 4823/5427/4692 4822/5426/4691 4814/5416/4682 -f 4816/5403/4671 4824/5420/4686 4823/5427/4692 4815/5418/4684 -f 4817/5419/4685 4825/5428/4693 4832/5429/4694 4824/5420/4686 -f 4818/5421/4687 4826/5430/4695 4825/5431/4693 4817/5422/4685 -f 4819/5423/4688 4827/5432/4696 4826/5430/4695 4818/5421/4687 -f 4820/5424/4689 4828/5433/4697 4827/5432/4696 4819/5423/4688 -f 4821/5425/4690 4829/5434/4698 4828/5433/4697 4820/5424/4689 -f 4822/5426/4691 4830/5435/4699 4829/5434/4698 4821/5425/4690 -f 4823/5427/4692 4831/5436/4700 4830/5435/4699 4822/5426/4691 -f 4824/5420/4686 4832/5429/4694 4831/5436/4700 4823/5427/4692 -f 4825/5428/4693 4833/5437/4701 4840/5438/4702 4832/5429/4694 -f 4826/5430/4695 4834/5439/4703 4833/5440/4701 4825/5431/4693 -f 4827/5432/4696 4835/5441/4704 4834/5439/4703 4826/5430/4695 -f 4828/5433/4697 4836/5442/4705 4835/5441/4704 4827/5432/4696 -f 4829/5434/4698 4837/5443/4706 4836/5442/4705 4828/5433/4697 -f 4830/5435/4699 4838/5444/4707 4837/5443/4706 4829/5434/4698 -f 4831/5436/4700 4839/5445/4708 4838/5444/4707 4830/5435/4699 -f 4832/5429/4694 4840/5438/4702 4839/5445/4708 4831/5436/4700 -f 4833/5437/4701 4841/5446/4709 4848/5447/4710 4840/5438/4702 -f 4834/5439/4703 4842/5448/4711 4841/5449/4709 4833/5440/4701 -f 4835/5441/4704 4843/5450/4712 4842/5448/4711 4834/5439/4703 -f 4836/5442/4705 4844/5451/4713 4843/5450/4712 4835/5441/4704 -f 4837/5443/4706 4845/5452/4714 4844/5451/4713 4836/5442/4705 -f 4838/5444/4707 4846/5453/4715 4845/5452/4714 4837/5443/4706 -f 4839/5445/4708 4847/5454/4716 4846/5453/4715 4838/5444/4707 -f 4840/5438/4702 4848/5447/4710 4847/5454/4716 4839/5445/4708 -f 4841/5446/4709 4849/5455/4717 4856/5456/4718 4848/5447/4710 -f 4842/5448/4711 4850/5457/4719 4849/5458/4717 4841/5449/4709 -f 4843/5450/4712 4851/5459/4720 4850/5457/4719 4842/5448/4711 -f 4844/5451/4713 4852/5460/4721 4851/5459/4720 4843/5450/4712 -f 4845/5452/4714 4853/5461/4722 4852/5460/4721 4844/5451/4713 -f 4846/5453/4715 4854/5462/4723 4853/5461/4722 4845/5452/4714 -f 4847/5454/4716 4855/5463/4724 4854/5462/4723 4846/5453/4715 -f 4848/5447/4710 4856/5456/4718 4855/5463/4724 4847/5454/4716 -f 4849/5455/4717 4857/5464/4725 4864/5465/4726 4856/5456/4718 -f 4850/5457/4719 4858/5466/4727 4857/5467/4725 4849/5458/4717 -f 4851/5459/4720 4859/5468/4728 4858/5466/4727 4850/5457/4719 -f 4852/5460/4721 4860/5469/4729 4859/5468/4728 4851/5459/4720 -f 4853/5461/4722 4861/5470/4730 4860/5469/4729 4852/5460/4721 -f 4854/5462/4723 4862/5471/4731 4861/5470/4730 4853/5461/4722 -f 4855/5463/4724 4863/5472/4732 4862/5471/4731 4854/5462/4723 -f 4856/5456/4718 4864/5465/4726 4863/5472/4732 4855/5463/4724 -f 4857/5464/4725 4865/5473/4733 4872/5474/4734 4864/5465/4726 -f 4858/5466/4727 4866/5475/4735 4865/5476/4733 4857/5467/4725 -f 4859/5468/4728 4867/5477/4736 4866/5475/4735 4858/5466/4727 -f 4860/5469/4729 4868/5478/4737 4867/5477/4736 4859/5468/4728 -f 4861/5470/4730 4869/5479/4738 4868/5478/4737 4860/5469/4729 -f 4862/5471/4731 4870/5480/4739 4869/5479/4738 4861/5470/4730 -f 4863/5472/4732 4871/5481/4740 4870/5480/4739 4862/5471/4731 -f 4864/5465/4726 4872/5474/4734 4871/5481/4740 4863/5472/4732 -f 4865/5473/4733 4873/5482/4741 4880/5483/4742 4872/5474/4734 -f 4866/5475/4735 4874/5484/4743 4873/5485/4741 4865/5476/4733 -f 4867/5477/4736 4875/5486/4744 4874/5484/4743 4866/5475/4735 -f 4868/5478/4737 4876/5487/4745 4875/5486/4744 4867/5477/4736 -f 4869/5479/4738 4877/5488/4746 4876/5487/4745 4868/5478/4737 -f 4870/5480/4739 4878/5489/4747 4877/5488/4746 4869/5479/4738 -f 4871/5481/4740 4879/5490/4748 4878/5489/4747 4870/5480/4739 -f 4872/5474/4734 4880/5483/4742 4879/5490/4748 4871/5481/4740 -f 4881/5491/4749 4889/5492/4750 4896/5493/4751 4888/5494/4752 -f 4882/5495/4753 4890/5496/4754 4889/5497/4750 4881/5498/4749 -f 4883/5499/4755 4891/5500/4756 4890/5496/4754 4882/5495/4753 -f 4884/5501/4757 4892/5502/4758 4891/5500/4756 4883/5499/4755 -f 4885/5503/4759 4893/5504/4760 4892/5502/4758 4884/5501/4757 -f 4886/5505/4761 4894/5506/4762 4893/5504/4760 4885/5503/4759 -f 4887/5507/4763 4895/5508/4764 4894/5506/4762 4886/5505/4761 -f 4888/5494/4752 4896/5493/4751 4895/5508/4764 4887/5507/4763 -f 4889/5492/4750 4897/5509/4765 4904/5510/4766 4896/5493/4751 -f 4890/5496/4754 4898/5511/4767 4897/5512/4765 4889/5497/4750 -f 4891/5500/4756 4899/5513/4768 4898/5511/4767 4890/5496/4754 -f 4892/5502/4758 4900/5514/4769 4899/5513/4768 4891/5500/4756 -f 4893/5504/4760 4901/5515/4770 4900/5514/4769 4892/5502/4758 -f 4894/5506/4762 4902/5516/4771 4901/5515/4770 4893/5504/4760 -f 4895/5508/4764 4903/5517/4772 4902/5516/4771 4894/5506/4762 -f 4896/5493/4751 4904/5510/4766 4903/5517/4772 4895/5508/4764 -f 4897/5509/4765 4905/5518/4773 4912/5519/4774 4904/5510/4766 -f 4898/5511/4767 4906/5520/4775 4905/5521/4773 4897/5512/4765 -f 4899/5513/4768 4907/5522/4776 4906/5520/4775 4898/5511/4767 -f 4900/5514/4769 4908/5523/4777 4907/5522/4776 4899/5513/4768 -f 4901/5515/4770 4909/5524/4778 4908/5523/4777 4900/5514/4769 -f 4902/5516/4771 4910/5525/4779 4909/5524/4778 4901/5515/4770 -f 4903/5517/4772 4911/5526/4780 4910/5525/4779 4902/5516/4771 -f 4904/5510/4766 4912/5519/4774 4911/5526/4780 4903/5517/4772 -f 4905/5518/4773 4913/5527/4781 4920/5528/4782 4912/5519/4774 -f 4906/5520/4775 4914/5529/4783 4913/5530/4781 4905/5521/4773 -f 4907/5522/4776 4915/5531/4784 4914/5529/4783 4906/5520/4775 -f 4908/5523/4777 4916/5532/4785 4915/5531/4784 4907/5522/4776 -f 4909/5524/4778 4917/5533/4786 4916/5532/4785 4908/5523/4777 -f 4910/5525/4779 4918/5534/4787 4917/5533/4786 4909/5524/4778 -f 4911/5526/4780 4919/5535/4788 4918/5534/4787 4910/5525/4779 -f 4912/5519/4774 4920/5528/4782 4919/5535/4788 4911/5526/4780 -f 4913/5527/4781 4921/5536/4789 4928/5537/4790 4920/5528/4782 -f 4914/5529/4783 4922/5538/4791 4921/5539/4789 4913/5530/4781 -f 4915/5531/4784 4923/5540/4792 4922/5538/4791 4914/5529/4783 -f 4916/5532/4785 4924/5541/4793 4923/5540/4792 4915/5531/4784 -f 4917/5533/4786 4925/5542/4794 4924/5541/4793 4916/5532/4785 -f 4918/5534/4787 4926/5543/4795 4925/5542/4794 4917/5533/4786 -f 4919/5535/4788 4927/5544/4796 4926/5543/4795 4918/5534/4787 -f 4920/5528/4782 4928/5537/4790 4927/5544/4796 4919/5535/4788 -f 4921/5536/4789 4929/5545/4797 4936/5546/4798 4928/5537/4790 -f 4922/5538/4791 4930/5547/4799 4929/5548/4797 4921/5539/4789 -f 4923/5540/4792 4931/5549/4800 4930/5547/4799 4922/5538/4791 -f 4924/5541/4793 4932/5550/4801 4931/5549/4800 4923/5540/4792 -f 4925/5542/4794 4933/5551/4802 4932/5550/4801 4924/5541/4793 -f 4926/5543/4795 4934/5552/4803 4933/5551/4802 4925/5542/4794 -f 4927/5544/4796 4935/5553/4804 4934/5552/4803 4926/5543/4795 -f 4928/5537/4790 4936/5546/4798 4935/5553/4804 4927/5544/4796 -f 4937/5554/4805 4945/5555/4805 4952/5556/4806 4944/5557/4806 -f 4938/5558/4807 4946/5559/4807 4945/5560/4805 4937/5561/4805 -f 4939/5562/4808 4947/5563/4808 4946/5559/4807 4938/5558/4807 -f 4940/5564/4809 4948/5565/4810 4947/5563/4808 4939/5562/4808 -f 4941/5566/4811 4949/5567/4812 4948/5565/4810 4940/5564/4809 -f 4942/5568/4813 4950/5569/4814 4949/5567/4812 4941/5566/4811 -f 4943/5570/4815 4951/5571/4815 4950/5569/4814 4942/5568/4813 -f 4944/5557/4806 4952/5556/4806 4951/5571/4815 4943/5570/4815 -f 4945/5555/4805 4953/5572/4805 4960/5573/4806 4952/5556/4806 -f 4946/5559/4807 4954/5574/4816 4953/5575/4805 4945/5560/4805 -f 4947/5563/4808 4955/5576/4808 4954/5574/4816 4946/5559/4807 -f 4948/5565/4810 4956/5577/4817 4955/5576/4808 4947/5563/4808 -f 4949/5567/4812 4957/5578/4812 4956/5577/4817 4948/5565/4810 -f 4950/5569/4814 4958/5579/4818 4957/5578/4812 4949/5567/4812 -f 4951/5571/4815 4959/5580/4819 4958/5579/4818 4950/5569/4814 -f 4952/5556/4806 4960/5573/4806 4959/5580/4819 4951/5571/4815 -f 4953/5572/4805 4961/5581/4820 4968/5582/4821 4960/5573/4806 -f 4954/5574/4816 4962/5583/4822 4961/5584/4820 4953/5575/4805 -f 4955/5576/4808 4963/5585/4823 4962/5583/4822 4954/5574/4816 -f 4956/5577/4817 4964/5586/4824 4963/5585/4823 4955/5576/4808 -f 4957/5578/4812 4965/5587/4812 4964/5586/4824 4956/5577/4817 -f 4958/5579/4818 4966/5588/4825 4965/5587/4812 4957/5578/4812 -f 4959/5580/4819 4967/5589/4819 4966/5588/4825 4958/5579/4818 -f 4960/5573/4806 4968/5582/4821 4967/5589/4819 4959/5580/4819 -f 4969/5590/4826 4977/5591/4827 4984/5592/4828 4976/5593/4829 -f 4970/5594/4830 4978/5595/4831 4977/5596/4827 4969/5597/4826 -f 4971/5598/4832 4979/5599/4833 4978/5595/4831 4970/5594/4830 -f 4972/5600/4834 4980/5601/4835 4979/5599/4833 4971/5598/4832 -f 4973/5602/4836 4981/5603/4837 4980/5601/4835 4972/5600/4834 -f 4974/5604/4838 4982/5605/4839 4981/5603/4837 4973/5602/4836 -f 4975/5606/4840 4983/5607/4841 4982/5605/4839 4974/5604/4838 -f 4976/5593/4829 4984/5592/4828 4983/5607/4841 4975/5606/4840 -f 4977/5591/4827 4985/5608/4842 4992/5609/4843 4984/5592/4828 -f 4978/5595/4831 4986/5610/4844 4985/5611/4842 4977/5596/4827 -f 4979/5599/4833 4987/5612/4845 4986/5610/4844 4978/5595/4831 -f 4980/5601/4835 4988/5613/4846 4987/5612/4845 4979/5599/4833 -f 4981/5603/4837 4989/5614/4847 4988/5613/4846 4980/5601/4835 -f 4982/5605/4839 4990/5615/4848 4989/5614/4847 4981/5603/4837 -f 4983/5607/4841 4991/5616/4849 4990/5615/4848 4982/5605/4839 -f 4984/5592/4828 4992/5609/4843 4991/5616/4849 4983/5607/4841 -f 4985/5608/4842 4993/5617/4850 5000/5618/4851 4992/5609/4843 -f 4986/5610/4844 4994/5619/4852 4993/5620/4850 4985/5611/4842 -f 4987/5612/4845 4995/5621/4853 4994/5619/4852 4986/5610/4844 -f 4988/5613/4846 4996/5622/4854 4995/5621/4853 4987/5612/4845 -f 4989/5614/4847 4997/5623/4855 4996/5622/4854 4988/5613/4846 -f 4990/5615/4848 4998/5624/4856 4997/5623/4855 4989/5614/4847 -f 4991/5616/4849 4999/5625/4857 4998/5624/4856 4990/5615/4848 -f 4992/5609/4843 5000/5618/4851 4999/5625/4857 4991/5616/4849 -f 4993/5617/4850 5001/5626/4858 5008/5627/4859 5000/5618/4851 -f 4994/5619/4852 5002/5628/4860 5001/5629/4858 4993/5620/4850 -f 4995/5621/4853 5003/5630/4861 5002/5628/4860 4994/5619/4852 -f 4996/5622/4854 5004/5631/4862 5003/5630/4861 4995/5621/4853 -f 4997/5623/4855 5005/5632/4863 5004/5631/4862 4996/5622/4854 -f 4998/5624/4856 5006/5633/4864 5005/5632/4863 4997/5623/4855 -f 4999/5625/4857 5007/5634/4865 5006/5633/4864 4998/5624/4856 -f 5000/5618/4851 5008/5627/4859 5007/5634/4865 4999/5625/4857 -f 5001/5626/4858 5009/5635/4866 5016/5636/4867 5008/5627/4859 -f 5002/5628/4860 5010/5637/4868 5009/5638/4866 5001/5629/4858 -f 5003/5630/4861 5011/5639/4869 5010/5637/4868 5002/5628/4860 -f 5004/5631/4862 5012/5640/4870 5011/5639/4869 5003/5630/4861 -f 5005/5632/4863 5013/5641/4871 5012/5640/4870 5004/5631/4862 -f 5006/5633/4864 5014/5642/4872 5013/5641/4871 5005/5632/4863 -f 5007/5634/4865 5015/5643/4873 5014/5642/4872 5006/5633/4864 -f 5008/5627/4859 5016/5636/4867 5015/5643/4873 5007/5634/4865 -f 5009/5635/4866 5017/5644/4874 5024/5645/4875 5016/5636/4867 -f 5010/5637/4868 5018/5646/4876 5017/5647/4874 5009/5638/4866 -f 5011/5639/4869 5019/5648/4877 5018/5646/4876 5010/5637/4868 -f 5012/5640/4870 5020/5649/4878 5019/5648/4877 5011/5639/4869 -f 5013/5641/4871 5021/5650/4879 5020/5649/4878 5012/5640/4870 -f 5014/5642/4872 5022/5651/4880 5021/5650/4879 5013/5641/4871 -f 5015/5643/4873 5023/5652/4881 5022/5651/4880 5014/5642/4872 -f 5016/5636/4867 5024/5645/4875 5023/5652/4881 5015/5643/4873 -f 5017/5644/4874 5025/5653/4882 5032/5654/4883 5024/5645/4875 -f 5018/5646/4876 5026/5655/4884 5025/5656/4882 5017/5647/4874 -f 5019/5648/4877 5027/5657/4885 5026/5655/4884 5018/5646/4876 -f 5020/5649/4878 5028/5658/4886 5027/5657/4885 5019/5648/4877 -f 5021/5650/4879 5029/5659/4887 5028/5658/4886 5020/5649/4878 -f 5022/5651/4880 5030/5660/4888 5029/5659/4887 5021/5650/4879 -f 5023/5652/4881 5031/5661/4889 5030/5660/4888 5022/5651/4880 -f 5024/5645/4875 5032/5654/4883 5031/5661/4889 5023/5652/4881 -f 5025/5653/4882 5033/5662/4890 5040/5663/4891 5032/5654/4883 -f 5026/5655/4884 5034/5664/4892 5033/5665/4890 5025/5656/4882 -f 5027/5657/4885 5035/5666/4893 5034/5664/4892 5026/5655/4884 -f 5028/5658/4886 5036/5667/4894 5035/5666/4893 5027/5657/4885 -f 5029/5659/4887 5037/5668/4895 5036/5667/4894 5028/5658/4886 -f 5030/5660/4888 5038/5669/4896 5037/5668/4895 5029/5659/4887 -f 5031/5661/4889 5039/5670/4897 5038/5669/4896 5030/5660/4888 -f 5032/5654/4883 5040/5663/4891 5039/5670/4897 5031/5661/4889 -f 5033/5662/4890 5041/5671/4898 5048/5672/4899 5040/5663/4891 -f 5034/5664/4892 5042/5673/4900 5041/5674/4898 5033/5665/4890 -f 5035/5666/4893 5043/5675/4901 5042/5673/4900 5034/5664/4892 -f 5036/5667/4894 5044/5676/4902 5043/5675/4901 5035/5666/4893 -f 5037/5668/4895 5045/5677/4903 5044/5676/4902 5036/5667/4894 -f 5038/5669/4896 5046/5678/4904 5045/5677/4903 5037/5668/4895 -f 5039/5670/4897 5047/5679/4905 5046/5678/4904 5038/5669/4896 -f 5040/5663/4891 5048/5672/4899 5047/5679/4905 5039/5670/4897 -f 5041/5671/4898 5049/5680/4906 5056/5681/4907 5048/5672/4899 -f 5042/5673/4900 5050/5682/4908 5049/5683/4906 5041/5674/4898 -f 5043/5675/4901 5051/5684/4909 5050/5682/4908 5042/5673/4900 -f 5044/5676/4902 5052/5685/4910 5051/5684/4909 5043/5675/4901 -f 5045/5677/4903 5053/5686/4911 5052/5685/4910 5044/5676/4902 -f 5046/5678/4904 5054/5687/4912 5053/5686/4911 5045/5677/4903 -f 5047/5679/4905 5055/5688/4913 5054/5687/4912 5046/5678/4904 -f 5048/5672/4899 5056/5681/4907 5055/5688/4913 5047/5679/4905 -f 5049/5680/4906 5057/5689/4914 5064/5690/4915 5056/5681/4907 -f 5050/5682/4908 5058/5691/4916 5057/5692/4914 5049/5683/4906 -f 5051/5684/4909 5059/5693/4917 5058/5691/4916 5050/5682/4908 -f 5052/5685/4910 5060/5694/4918 5059/5693/4917 5051/5684/4909 -f 5053/5686/4911 5061/5695/4919 5060/5694/4918 5052/5685/4910 -f 5054/5687/4912 5062/5696/4920 5061/5695/4919 5053/5686/4911 -f 5055/5688/4913 5063/5697/4921 5062/5696/4920 5054/5687/4912 -f 5056/5681/4907 5064/5690/4915 5063/5697/4921 5055/5688/4913 -f 5057/5689/4914 5065/5698/4922 5072/5699/4923 5064/5690/4915 -f 5058/5691/4916 5066/5700/4924 5065/5701/4922 5057/5692/4914 -f 5059/5693/4917 5067/5702/4925 5066/5700/4924 5058/5691/4916 -f 5060/5694/4918 5068/5703/4926 5067/5702/4925 5059/5693/4917 -f 5061/5695/4919 5069/5704/4927 5068/5703/4926 5060/5694/4918 -f 5062/5696/4920 5070/5705/4928 5069/5704/4927 5061/5695/4919 -f 5063/5697/4921 5071/5706/4929 5070/5705/4928 5062/5696/4920 -f 5064/5690/4915 5072/5699/4923 5071/5706/4929 5063/5697/4921 -f 5073/5707/4930 5081/5708/4930 5088/5709/4931 5080/5710/4931 -f 5074/5711/4932 5082/5712/4932 5081/5713/4930 5073/5714/4930 -f 5075/5715/4933 5083/5716/4934 5082/5712/4932 5074/5711/4932 -f 5076/5717/4935 5084/5718/4935 5083/5716/4934 5075/5715/4933 -f 5077/5719/4936 5085/5720/4936 5084/5718/4935 5076/5717/4935 -f 5078/5721/4937 5086/5722/4937 5085/5720/4936 5077/5719/4936 -f 5079/5723/4938 5087/5724/4938 5086/5722/4937 5078/5721/4937 -f 5080/5710/4931 5088/5709/4931 5087/5724/4938 5079/5723/4938 -f 5081/5708/4930 5089/5725/4939 5096/5726/4940 5088/5709/4931 -f 5082/5712/4932 5090/5727/4941 5089/5728/4939 5081/5713/4930 -f 5083/5716/4934 5091/5729/4942 5090/5727/4941 5082/5712/4932 -f 5084/5718/4935 5092/5730/4943 5091/5729/4942 5083/5716/4934 -f 5085/5720/4936 5093/5731/4944 5092/5730/4943 5084/5718/4935 -f 5086/5722/4937 5094/5732/4945 5093/5731/4944 5085/5720/4936 -f 5087/5724/4938 5095/5733/4946 5094/5732/4945 5086/5722/4937 -f 5088/5709/4931 5096/5726/4940 5095/5733/4946 5087/5724/4938 -f 5089/5725/4939 5097/5734/4947 5104/5735/4948 5096/5726/4940 -f 5090/5727/4941 5098/5736/4949 5097/5737/4947 5089/5728/4939 -f 5091/5729/4942 5099/5738/4950 5098/5736/4949 5090/5727/4941 -f 5092/5730/4943 5100/5739/4951 5099/5738/4950 5091/5729/4942 -f 5093/5731/4944 5101/5740/4952 5100/5739/4951 5092/5730/4943 -f 5094/5732/4945 5102/5741/4953 5101/5740/4952 5093/5731/4944 -f 5095/5733/4946 5103/5742/4954 5102/5741/4953 5094/5732/4945 -f 5096/5726/4940 5104/5735/4948 5103/5742/4954 5095/5733/4946 -f 5105/5743/4955 5113/5744/4955 5120/5745/4956 5112/5746/4956 -f 5106/5747/4957 5114/5748/4957 5113/5749/4955 5105/5750/4955 -f 5107/5751/4958 5115/5752/4958 5114/5748/4957 5106/5747/4957 -f 5108/5753/4959 5116/5754/4959 5115/5752/4958 5107/5751/4958 -f 5109/5755/4960 5117/5756/4961 5116/5754/4959 5108/5753/4959 -f 5110/5757/4962 5118/5758/4962 5117/5756/4961 5109/5755/4960 -f 5111/5759/4963 5119/5760/4963 5118/5758/4962 5110/5757/4962 -f 5112/5746/4956 5120/5745/4956 5119/5760/4963 5111/5759/4963 -f 5113/5744/4955 5121/5761/4964 5128/5762/4965 5120/5745/4956 -f 5114/5748/4957 5122/5763/4966 5121/5764/4964 5113/5749/4955 -f 5115/5752/4958 5123/5765/4967 5122/5763/4966 5114/5748/4957 -f 5116/5754/4959 5124/5766/4968 5123/5765/4967 5115/5752/4958 -f 5117/5756/4961 5125/5767/4969 5124/5766/4968 5116/5754/4959 -f 5118/5758/4962 5126/5768/4970 5125/5767/4969 5117/5756/4961 -f 5119/5760/4963 5127/5769/4971 5126/5768/4970 5118/5758/4962 -f 5120/5745/4956 5128/5762/4965 5127/5769/4971 5119/5760/4963 -f 5121/5761/4964 5129/5770/4972 5136/5771/4973 5128/5762/4965 -f 5122/5763/4966 5130/5772/4974 5129/5773/4972 5121/5764/4964 -f 5123/5765/4967 5131/5774/4975 5130/5772/4974 5122/5763/4966 -f 5124/5766/4968 5132/5775/4976 5131/5774/4975 5123/5765/4967 -f 5125/5767/4969 5133/5776/4977 5132/5775/4976 5124/5766/4968 -f 5126/5768/4970 5134/5777/4978 5133/5776/4977 5125/5767/4969 -f 5127/5769/4971 5135/5778/4979 5134/5777/4978 5126/5768/4970 -f 5128/5762/4965 5136/5771/4973 5135/5778/4979 5127/5769/4971 -f 5129/5770/4972 5137/5779/4980 5144/5780/4981 5136/5771/4973 -f 5130/5772/4974 5138/5781/4982 5137/5782/4980 5129/5773/4972 -f 5131/5774/4975 5139/5783/4983 5138/5781/4982 5130/5772/4974 -f 5132/5775/4976 5140/5784/4984 5139/5783/4983 5131/5774/4975 -f 5133/5776/4977 5141/5785/4985 5140/5784/4984 5132/5775/4976 -f 5134/5777/4978 5142/5786/4986 5141/5785/4985 5133/5776/4977 -f 5135/5778/4979 5143/5787/4987 5142/5786/4986 5134/5777/4978 -f 5136/5771/4973 5144/5780/4981 5143/5787/4987 5135/5778/4979 -f 5137/5779/4980 5145/5788/4988 5152/5789/4989 5144/5780/4981 -f 5138/5781/4982 5146/5790/4990 5145/5791/4988 5137/5782/4980 -f 5139/5783/4983 5147/5792/4991 5146/5790/4990 5138/5781/4982 -f 5140/5784/4984 5148/5793/4992 5147/5792/4991 5139/5783/4983 -f 5141/5785/4985 5149/5794/4993 5148/5793/4992 5140/5784/4984 -f 5142/5786/4986 5150/5795/4994 5149/5794/4993 5141/5785/4985 -f 5143/5787/4987 5151/5796/4995 5150/5795/4994 5142/5786/4986 -f 5144/5780/4981 5152/5789/4989 5151/5796/4995 5143/5787/4987 -f 5145/5788/4988 5153/5797/4996 5160/5798/4997 5152/5789/4989 -f 5146/5790/4990 5154/5799/4998 5153/5800/4996 5145/5791/4988 -f 5147/5792/4991 5155/5801/4999 5154/5799/4998 5146/5790/4990 -f 5148/5793/4992 5156/5802/5000 5155/5801/4999 5147/5792/4991 -f 5149/5794/4993 5157/5803/5001 5156/5802/5000 5148/5793/4992 -f 5150/5795/4994 5158/5804/5002 5157/5803/5001 5149/5794/4993 -f 5151/5796/4995 5159/5805/5003 5158/5804/5002 5150/5795/4994 -f 5152/5789/4989 5160/5798/4997 5159/5805/5003 5151/5796/4995 -f 5153/5797/4996 5161/5806/5004 5168/5807/5005 5160/5798/4997 -f 5154/5799/4998 5162/5808/5006 5161/5809/5004 5153/5800/4996 -f 5155/5801/4999 5163/5810/5007 5162/5808/5006 5154/5799/4998 -f 5156/5802/5000 5164/5811/5008 5163/5810/5007 5155/5801/4999 -f 5157/5803/5001 5165/5812/5009 5164/5811/5008 5156/5802/5000 -f 5158/5804/5002 5166/5813/5010 5165/5812/5009 5157/5803/5001 -f 5159/5805/5003 5167/5814/5011 5166/5813/5010 5158/5804/5002 -f 5160/5798/4997 5168/5807/5005 5167/5814/5011 5159/5805/5003 -f 5161/5806/5004 5169/5815/5012 5176/5816/5013 5168/5807/5005 -f 5162/5808/5006 5170/5817/5014 5169/5818/5012 5161/5809/5004 -f 5163/5810/5007 5171/5819/5015 5170/5817/5014 5162/5808/5006 -f 5164/5811/5008 5172/5820/5016 5171/5819/5015 5163/5810/5007 -f 5165/5812/5009 5173/5821/5017 5172/5820/5016 5164/5811/5008 -f 5166/5813/5010 5174/5822/5018 5173/5821/5017 5165/5812/5009 -f 5167/5814/5011 5175/5823/5019 5174/5822/5018 5166/5813/5010 -f 5168/5807/5005 5176/5816/5013 5175/5823/5019 5167/5814/5011 -f 5169/5815/5012 5177/5824/5020 5184/5825/5021 5176/5816/5013 -f 5170/5817/5014 5178/5826/5022 5177/5827/5020 5169/5818/5012 -f 5171/5819/5015 5179/5828/5023 5178/5826/5022 5170/5817/5014 -f 5172/5820/5016 5180/5829/5024 5179/5828/5023 5171/5819/5015 -f 5173/5821/5017 5181/5830/5025 5180/5829/5024 5172/5820/5016 -f 5174/5822/5018 5182/5831/5026 5181/5830/5025 5173/5821/5017 -f 5175/5823/5019 5183/5832/5027 5182/5831/5026 5174/5822/5018 -f 5176/5816/5013 5184/5825/5021 5183/5832/5027 5175/5823/5019 -f 5185/5833/5028 5193/5834/5028 5200/5835/5029 5192/5836/5029 -f 5186/5837/5030 5194/5838/5030 5193/5839/5028 5185/5840/5028 -f 5187/5841/5031 5195/5842/5031 5194/5838/5030 5186/5837/5030 -f 5188/5843/5032 5196/5844/5032 5195/5842/5031 5187/5841/5031 -f 5189/5845/5033 5197/5846/5033 5196/5844/5032 5188/5843/5032 -f 5190/5847/5034 5198/5848/5034 5197/5846/5033 5189/5845/5033 -f 5191/5849/5035 5199/5850/5035 5198/5848/5034 5190/5847/5034 -f 5192/5836/5029 5200/5835/5029 5199/5850/5035 5191/5849/5035 -f 5193/5834/5028 5201/5851/5036 5208/5852/5037 5200/5835/5029 -f 5194/5838/5030 5202/5853/5038 5201/5854/5036 5193/5839/5028 -f 5195/5842/5031 5203/5855/5039 5202/5853/5038 5194/5838/5030 -f 5196/5844/5032 5204/5856/5040 5203/5855/5039 5195/5842/5031 -f 5197/5846/5033 5205/5857/5041 5204/5856/5040 5196/5844/5032 -f 5198/5848/5034 5206/5858/5042 5205/5857/5041 5197/5846/5033 -f 5199/5850/5035 5207/5859/5043 5206/5858/5042 5198/5848/5034 -f 5200/5835/5029 5208/5852/5037 5207/5859/5043 5199/5850/5035 -f 5201/5851/5036 5209/5860/5044 5216/5861/5045 5208/5852/5037 -f 5202/5853/5038 5210/5862/5046 5209/5863/5044 5201/5854/5036 -f 5203/5855/5039 5211/5864/5047 5210/5862/5046 5202/5853/5038 -f 5204/5856/5040 5212/5865/5048 5211/5864/5047 5203/5855/5039 -f 5205/5857/5041 5213/5866/5049 5212/5865/5048 5204/5856/5040 -f 5206/5858/5042 5214/5867/5050 5213/5866/5049 5205/5857/5041 -f 5207/5859/5043 5215/5868/5051 5214/5867/5050 5206/5858/5042 -f 5208/5852/5037 5216/5861/5045 5215/5868/5051 5207/5859/5043 -f 5209/5860/5044 5217/5869/5052 5224/5870/5053 5216/5861/5045 -f 5210/5862/5046 5218/5871/5054 5217/5872/5052 5209/5863/5044 -f 5211/5864/5047 5219/5873/5055 5218/5871/5054 5210/5862/5046 -f 5212/5865/5048 5220/5874/5056 5219/5873/5055 5211/5864/5047 -f 5213/5866/5049 5221/5875/5057 5220/5874/5056 5212/5865/5048 -f 5214/5867/5050 5222/5876/5058 5221/5875/5057 5213/5866/5049 -f 5215/5868/5051 5223/5877/5059 5222/5876/5058 5214/5867/5050 -f 5216/5861/5045 5224/5870/5053 5223/5877/5059 5215/5868/5051 -f 5217/5869/5052 5225/5878/5060 5232/5879/5061 5224/5870/5053 -f 5218/5871/5054 5226/5880/5062 5225/5881/5060 5217/5872/5052 -f 5219/5873/5055 5227/5882/5063 5226/5880/5062 5218/5871/5054 -f 5220/5874/5056 5228/5883/5064 5227/5882/5063 5219/5873/5055 -f 5221/5875/5057 5229/5884/5065 5228/5883/5064 5220/5874/5056 -f 5222/5876/5058 5230/5885/5066 5229/5884/5065 5221/5875/5057 -f 5223/5877/5059 5231/5886/5067 5230/5885/5066 5222/5876/5058 -f 5224/5870/5053 5232/5879/5061 5231/5886/5067 5223/5877/5059 -f 5225/5878/5060 5233/5887/5068 5240/5888/5069 5232/5879/5061 -f 5226/5880/5062 5234/5889/5070 5233/5890/5068 5225/5881/5060 -f 5227/5882/5063 5235/5891/5071 5234/5889/5070 5226/5880/5062 -f 5228/5883/5064 5236/5892/5072 5235/5891/5071 5227/5882/5063 -f 5229/5884/5065 5237/5893/5073 5236/5892/5072 5228/5883/5064 -f 5230/5885/5066 5238/5894/5074 5237/5893/5073 5229/5884/5065 -f 5231/5886/5067 5239/5895/5075 5238/5894/5074 5230/5885/5066 -f 5232/5879/5061 5240/5888/5069 5239/5895/5075 5231/5886/5067 -f 5233/5887/5068 5241/5896/5052 5248/5897/5053 5240/5888/5069 -f 5234/5889/5070 5242/5898/5076 5241/5899/5052 5233/5890/5068 -f 5235/5891/5071 5243/5900/5055 5242/5898/5076 5234/5889/5070 -f 5236/5892/5072 5244/5901/5056 5243/5900/5055 5235/5891/5071 -f 5237/5893/5073 5245/5902/5057 5244/5901/5056 5236/5892/5072 -f 5238/5894/5074 5246/5903/5058 5245/5902/5057 5237/5893/5073 -f 5239/5895/5075 5247/5904/5059 5246/5903/5058 5238/5894/5074 -f 5240/5888/5069 5248/5897/5053 5247/5904/5059 5239/5895/5075 -f 5241/5896/5052 5249/5905/5060 5256/5906/5061 5248/5897/5053 -f 5242/5898/5076 5250/5907/5077 5249/5908/5060 5241/5899/5052 -f 5243/5900/5055 5251/5909/5078 5250/5907/5077 5242/5898/5076 -f 5244/5901/5056 5252/5910/5064 5251/5909/5078 5243/5900/5055 -f 5245/5902/5057 5253/5911/5079 5252/5910/5064 5244/5901/5056 -f 5246/5903/5058 5254/5912/5066 5253/5911/5079 5245/5902/5057 -f 5247/5904/5059 5255/5913/5067 5254/5912/5066 5246/5903/5058 -f 5248/5897/5053 5256/5906/5061 5255/5913/5067 5247/5904/5059 -f 5249/5905/5060 5257/5914/5080 5264/5915/5069 5256/5906/5061 -f 5250/5907/5077 5258/5916/5070 5257/5917/5080 5249/5908/5060 -f 5251/5909/5078 5259/5918/5081 5258/5916/5070 5250/5907/5077 -f 5252/5910/5064 5260/5919/5072 5259/5918/5081 5251/5909/5078 -f 5253/5911/5079 5261/5920/5073 5260/5919/5072 5252/5910/5064 -f 5254/5912/5066 5262/5921/5082 5261/5920/5073 5253/5911/5079 -f 5255/5913/5067 5263/5922/5075 5262/5921/5082 5254/5912/5066 -f 5256/5906/5061 5264/5915/5069 5263/5922/5075 5255/5913/5067 -f 5265/5923/5083 5273/5924/5084 5280/5925/5085 5272/5926/5086 -f 5266/5927/5087 5274/5928/5088 5273/5929/5084 5265/5930/5083 -f 5267/5931/5089 5275/5932/5090 5274/5928/5088 5266/5927/5087 -f 5268/5933/5091 5276/5934/5092 5275/5932/5090 5267/5931/5089 -f 5269/5935/5093 5277/5936/5094 5276/5934/5092 5268/5933/5091 -f 5270/5937/5095 5278/5938/5096 5277/5936/5094 5269/5935/5093 -f 5271/5939/5097 5279/5940/5098 5278/5938/5096 5270/5937/5095 -f 5272/5926/5086 5280/5925/5085 5279/5940/5098 5271/5939/5097 -f 5273/5924/5084 5281/5941/5099 5288/5942/5100 5280/5925/5085 -f 5274/5928/5088 5282/5943/5101 5281/5944/5099 5273/5929/5084 -f 5275/5932/5090 5283/5945/5102 5282/5943/5101 5274/5928/5088 -f 5276/5934/5092 5284/5946/5103 5283/5945/5102 5275/5932/5090 -f 5277/5936/5094 5285/5947/5104 5284/5946/5103 5276/5934/5092 -f 5278/5938/5096 5286/5948/5105 5285/5947/5104 5277/5936/5094 -f 5279/5940/5098 5287/5949/5106 5286/5948/5105 5278/5938/5096 -f 5280/5925/5085 5288/5942/5100 5287/5949/5106 5279/5940/5098 -f 5281/5941/5099 5289/5950/5107 5296/5951/5108 5288/5942/5100 -f 5282/5943/5101 5290/5952/5109 5289/5953/5107 5281/5944/5099 -f 5283/5945/5102 5291/5954/5110 5290/5952/5109 5282/5943/5101 -f 5284/5946/5103 5292/5955/5111 5291/5954/5110 5283/5945/5102 -f 5285/5947/5104 5293/5956/5112 5292/5955/5111 5284/5946/5103 -f 5286/5948/5105 5294/5957/5113 5293/5956/5112 5285/5947/5104 -f 5287/5949/5106 5295/5958/5114 5294/5957/5113 5286/5948/5105 -f 5288/5942/5100 5296/5951/5108 5295/5958/5114 5287/5949/5106 -f 5289/5950/5107 5297/5959/5115 5304/5960/5116 5296/5951/5108 -f 5290/5952/5109 5298/5961/5117 5297/5962/5115 5289/5953/5107 -f 5291/5954/5110 5299/5963/5118 5298/5961/5117 5290/5952/5109 -f 5292/5955/5111 5300/5964/5119 5299/5963/5118 5291/5954/5110 -f 5293/5956/5112 5301/5965/5120 5300/5964/5119 5292/5955/5111 -f 5294/5957/5113 5302/5966/5121 5301/5965/5120 5293/5956/5112 -f 5295/5958/5114 5303/5967/5122 5302/5966/5121 5294/5957/5113 -f 5296/5951/5108 5304/5960/5116 5303/5967/5122 5295/5958/5114 -f 5297/5959/5115 5305/5968/5123 5312/5969/5124 5304/5960/5116 -f 5298/5961/5117 5306/5970/5125 5305/5971/5123 5297/5962/5115 -f 5299/5963/5118 5307/5972/5126 5306/5970/5125 5298/5961/5117 -f 5300/5964/5119 5308/5973/5127 5307/5972/5126 5299/5963/5118 -f 5301/5965/5120 5309/5974/5128 5308/5973/5127 5300/5964/5119 -f 5302/5966/5121 5310/5975/5129 5309/5974/5128 5301/5965/5120 -f 5303/5967/5122 5311/5976/5130 5310/5975/5129 5302/5966/5121 -f 5304/5960/5116 5312/5969/5124 5311/5976/5130 5303/5967/5122 -f 5305/5968/5123 5313/5977/5131 5320/5978/5132 5312/5969/5124 -f 5306/5970/5125 5314/5979/5133 5313/5980/5131 5305/5971/5123 -f 5307/5972/5126 5315/5981/5134 5314/5979/5133 5306/5970/5125 -f 5308/5973/5127 5316/5982/5135 5315/5981/5134 5307/5972/5126 -f 5309/5974/5128 5317/5983/5136 5316/5982/5135 5308/5973/5127 -f 5310/5975/5129 5318/5984/5137 5317/5983/5136 5309/5974/5128 -f 5311/5976/5130 5319/5985/5138 5318/5984/5137 5310/5975/5129 -f 5312/5969/5124 5320/5978/5132 5319/5985/5138 5311/5976/5130 -f 5313/5977/5131 5321/5986/5139 5328/5987/5140 5320/5978/5132 -f 5314/5979/5133 5322/5988/5141 5321/5989/5139 5313/5980/5131 -f 5315/5981/5134 5323/5990/5142 5322/5988/5141 5314/5979/5133 -f 5316/5982/5135 5324/5991/5143 5323/5990/5142 5315/5981/5134 -f 5317/5983/5136 5325/5992/5144 5324/5991/5143 5316/5982/5135 -f 5318/5984/5137 5326/5993/5145 5325/5992/5144 5317/5983/5136 -f 5319/5985/5138 5327/5994/5146 5326/5993/5145 5318/5984/5137 -f 5320/5978/5132 5328/5987/5140 5327/5994/5146 5319/5985/5138 -f 5321/5986/5139 5329/5995/5147 5336/5996/5148 5328/5987/5140 -f 5322/5988/5141 5330/5997/5149 5329/5998/5147 5321/5989/5139 -f 5323/5990/5142 5331/5999/5150 5330/5997/5149 5322/5988/5141 -f 5324/5991/5143 5332/6000/5151 5331/5999/5150 5323/5990/5142 -f 5325/5992/5144 5333/6001/5152 5332/6000/5151 5324/5991/5143 -f 5326/5993/5145 5334/6002/5153 5333/6001/5152 5325/5992/5144 -f 5327/5994/5146 5335/6003/5154 5334/6002/5153 5326/5993/5145 -f 5328/5987/5140 5336/5996/5148 5335/6003/5154 5327/5994/5146 -f 5329/5995/5147 5337/6004/5155 5344/6005/5156 5336/5996/5148 -f 5330/5997/5149 5338/6006/5157 5337/6007/5155 5329/5998/5147 -f 5331/5999/5150 5339/6008/5158 5338/6006/5157 5330/5997/5149 -f 5332/6000/5151 5340/6009/5159 5339/6008/5158 5331/5999/5150 -f 5333/6001/5152 5341/6010/5160 5340/6009/5159 5332/6000/5151 -f 5334/6002/5153 5342/6011/5161 5341/6010/5160 5333/6001/5152 -f 5335/6003/5154 5343/6012/5162 5342/6011/5161 5334/6002/5153 -f 5336/5996/5148 5344/6005/5156 5343/6012/5162 5335/6003/5154 -f 5345/6013/5163 5353/6014/5163 5360/6015/5164 5352/6016/5164 -f 5346/6017/5165 5354/6018/5165 5353/6019/5163 5345/6020/5163 -f 5347/6021/5166 5355/6022/5166 5354/6018/5165 5346/6017/5165 -f 5348/6023/5167 5356/6024/5167 5355/6022/5166 5347/6021/5166 -f 5349/6025/5168 5357/6026/5168 5356/6024/5167 5348/6023/5167 -f 5350/6027/5169 5358/6028/5170 5357/6026/5168 5349/6025/5168 -f 5351/6029/5171 5359/6030/5171 5358/6028/5170 5350/6027/5169 -f 5352/6016/5164 5360/6015/5164 5359/6030/5171 5351/6029/5171 -f 5353/6014/5163 5361/6031/5172 5368/6032/5173 5360/6015/5164 -f 5354/6018/5165 5362/6033/5174 5361/6034/5172 5353/6019/5163 -f 5355/6022/5166 5363/6035/5175 5362/6033/5174 5354/6018/5165 -f 5356/6024/5167 5364/6036/5176 5363/6035/5175 5355/6022/5166 -f 5357/6026/5168 5365/6037/5177 5364/6036/5176 5356/6024/5167 -f 5358/6028/5170 5366/6038/5178 5365/6037/5177 5357/6026/5168 -f 5359/6030/5171 5367/6039/5179 5366/6038/5178 5358/6028/5170 -f 5360/6015/5164 5368/6032/5173 5367/6039/5179 5359/6030/5171 -f 5361/6031/5172 5369/6040/5180 5376/6041/5181 5368/6032/5173 -f 5362/6033/5174 5370/6042/5182 5369/6043/5180 5361/6034/5172 -f 5363/6035/5175 5371/6044/5183 5370/6042/5182 5362/6033/5174 -f 5364/6036/5176 5372/6045/5184 5371/6044/5183 5363/6035/5175 -f 5365/6037/5177 5373/6046/5185 5372/6045/5184 5364/6036/5176 -f 5366/6038/5178 5374/6047/5186 5373/6046/5185 5365/6037/5177 -f 5367/6039/5179 5375/6048/5187 5374/6047/5186 5366/6038/5178 -f 5368/6032/5173 5376/6041/5181 5375/6048/5187 5367/6039/5179 -f 5369/6040/5180 5377/6049/5188 5384/6050/5189 5376/6041/5181 -f 5370/6042/5182 5378/6051/5190 5377/6052/5188 5369/6043/5180 -f 5371/6044/5183 5379/6053/5191 5378/6051/5190 5370/6042/5182 -f 5372/6045/5184 5380/6054/5192 5379/6053/5191 5371/6044/5183 -f 5373/6046/5185 5381/6055/5193 5380/6054/5192 5372/6045/5184 -f 5374/6047/5186 5382/6056/5194 5381/6055/5193 5373/6046/5185 -f 5375/6048/5187 5383/6057/5195 5382/6056/5194 5374/6047/5186 -f 5376/6041/5181 5384/6050/5189 5383/6057/5195 5375/6048/5187 -f 5377/6049/5188 5385/6058/5196 5392/6059/5197 5384/6050/5189 -f 5378/6051/5190 5386/6060/5198 5385/6061/5196 5377/6052/5188 -f 5379/6053/5191 5387/6062/5199 5386/6060/5198 5378/6051/5190 -f 5380/6054/5192 5388/6063/5200 5387/6062/5199 5379/6053/5191 -f 5381/6055/5193 5389/6064/5201 5388/6063/5200 5380/6054/5192 -f 5382/6056/5194 5390/6065/5202 5389/6064/5201 5381/6055/5193 -f 5383/6057/5195 5391/6066/5203 5390/6065/5202 5382/6056/5194 -f 5384/6050/5189 5392/6059/5197 5391/6066/5203 5383/6057/5195 -f 5385/6058/5196 5393/6067/5204 5400/6068/5205 5392/6059/5197 -f 5386/6060/5198 5394/6069/5206 5393/6070/5204 5385/6061/5196 -f 5387/6062/5199 5395/6071/5207 5394/6069/5206 5386/6060/5198 -f 5388/6063/5200 5396/6072/5208 5395/6071/5207 5387/6062/5199 -f 5389/6064/5201 5397/6073/5209 5396/6072/5208 5388/6063/5200 -f 5390/6065/5202 5398/6074/5210 5397/6073/5209 5389/6064/5201 -f 5391/6066/5203 5399/6075/5211 5398/6074/5210 5390/6065/5202 -f 5392/6059/5197 5400/6068/5205 5399/6075/5211 5391/6066/5203 -f 5393/6067/5204 5401/6076/5212 5408/6077/5189 5400/6068/5205 -f 5394/6069/5206 5402/6078/5213 5401/6079/5212 5393/6070/5204 -f 5395/6071/5207 5403/6080/5191 5402/6078/5213 5394/6069/5206 -f 5396/6072/5208 5404/6081/5192 5403/6080/5191 5395/6071/5207 -f 5397/6073/5209 5405/6082/5214 5404/6081/5192 5396/6072/5208 -f 5398/6074/5210 5406/6083/5194 5405/6082/5214 5397/6073/5209 -f 5399/6075/5211 5407/6084/5195 5406/6083/5194 5398/6074/5210 -f 5400/6068/5205 5408/6077/5189 5407/6084/5195 5399/6075/5211 -f 5401/6076/5212 5409/6085/5215 5416/6086/5197 5408/6077/5189 -f 5402/6078/5213 5410/6087/5198 5409/6088/5215 5401/6079/5212 -f 5403/6080/5191 5411/6089/5199 5410/6087/5198 5402/6078/5213 -f 5404/6081/5192 5412/6090/5216 5411/6089/5199 5403/6080/5191 -f 5405/6082/5214 5413/6091/5217 5412/6090/5216 5404/6081/5192 -f 5406/6083/5194 5414/6092/5202 5413/6091/5217 5405/6082/5214 -f 5407/6084/5195 5415/6093/5203 5414/6092/5202 5406/6083/5194 -f 5408/6077/5189 5416/6086/5197 5415/6093/5203 5407/6084/5195 -f 5409/6085/5215 5417/6094/5218 5424/6095/5205 5416/6086/5197 -f 5410/6087/5198 5418/6096/5219 5417/6097/5218 5409/6088/5215 -f 5411/6089/5199 5419/6098/5220 5418/6096/5219 5410/6087/5198 -f 5412/6090/5216 5420/6099/5221 5419/6098/5220 5411/6089/5199 -f 5413/6091/5217 5421/6100/5222 5420/6099/5221 5412/6090/5216 -f 5414/6092/5202 5422/6101/5223 5421/6100/5222 5413/6091/5217 -f 5415/6093/5203 5423/6102/5224 5422/6101/5223 5414/6092/5202 -f 5416/6086/5197 5424/6095/5205 5423/6102/5224 5415/6093/5203 -f 5425/6103/5225 5433/6104/5225 5440/6105/5226 5432/6106/5226 -f 5426/6107/5227 5434/6108/5228 5433/6109/5225 5425/6110/5225 -f 5427/6111/5229 5435/6112/5229 5434/6108/5228 5426/6107/5227 -f 5428/6113/5230 5436/6114/5230 5435/6112/5229 5427/6111/5229 -f 5429/6115/5231 5437/6116/5231 5436/6114/5230 5428/6113/5230 -f 5430/6117/5232 5438/6118/5233 5437/6116/5231 5429/6115/5231 -f 5431/6119/5234 5439/6120/5234 5438/6118/5233 5430/6117/5232 -f 5432/6106/5226 5440/6105/5226 5439/6120/5234 5431/6119/5234 -f 5433/6104/5225 5441/6121/5235 5448/6122/5236 5440/6105/5226 -f 5434/6108/5228 5442/6123/5237 5441/6124/5235 5433/6109/5225 -f 5435/6112/5229 5443/6125/5238 5442/6123/5237 5434/6108/5228 -f 5436/6114/5230 5444/6126/5239 5443/6125/5238 5435/6112/5229 -f 5437/6116/5231 5445/6127/5240 5444/6126/5239 5436/6114/5230 -f 5438/6118/5233 5446/6128/5241 5445/6127/5240 5437/6116/5231 -f 5439/6120/5234 5447/6129/5242 5446/6128/5241 5438/6118/5233 -f 5440/6105/5226 5448/6122/5236 5447/6129/5242 5439/6120/5234 -f 5441/6121/5235 5449/6130/5243 5456/6131/5244 5448/6122/5236 -f 5442/6123/5237 5450/6132/5245 5449/6133/5243 5441/6124/5235 -f 5443/6125/5238 5451/6134/5246 5450/6132/5245 5442/6123/5237 -f 5444/6126/5239 5452/6135/5247 5451/6134/5246 5443/6125/5238 -f 5445/6127/5240 5453/6136/5248 5452/6135/5247 5444/6126/5239 -f 5446/6128/5241 5454/6137/5249 5453/6136/5248 5445/6127/5240 -f 5447/6129/5242 5455/6138/5250 5454/6137/5249 5446/6128/5241 -f 5448/6122/5236 5456/6131/5244 5455/6138/5250 5447/6129/5242 -f 5449/6130/5243 5457/6139/5251 5464/6140/5252 5456/6131/5244 -f 5450/6132/5245 5458/6141/5253 5457/6142/5251 5449/6133/5243 -f 5451/6134/5246 5459/6143/5254 5458/6141/5253 5450/6132/5245 -f 5452/6135/5247 5460/6144/5255 5459/6143/5254 5451/6134/5246 -f 5453/6136/5248 5461/6145/5256 5460/6144/5255 5452/6135/5247 -f 5454/6137/5249 5462/6146/5257 5461/6145/5256 5453/6136/5248 -f 5455/6138/5250 5463/6147/5258 5462/6146/5257 5454/6137/5249 -f 5456/6131/5244 5464/6140/5252 5463/6147/5258 5455/6138/5250 -f 5457/6139/5251 5465/6148/5259 5472/6149/5260 5464/6140/5252 -f 5458/6141/5253 5466/6150/5261 5465/6151/5259 5457/6142/5251 -f 5459/6143/5254 5467/6152/5262 5466/6150/5261 5458/6141/5253 -f 5460/6144/5255 5468/6153/5263 5467/6152/5262 5459/6143/5254 -f 5461/6145/5256 5469/6154/5264 5468/6153/5263 5460/6144/5255 -f 5462/6146/5257 5470/6155/5265 5469/6154/5264 5461/6145/5256 -f 5463/6147/5258 5471/6156/5266 5470/6155/5265 5462/6146/5257 -f 5464/6140/5252 5472/6149/5260 5471/6156/5266 5463/6147/5258 -f 5465/6148/5259 5473/6157/5267 5480/6158/5268 5472/6149/5260 -f 5466/6150/5261 5474/6159/5269 5473/6160/5267 5465/6151/5259 -f 5467/6152/5262 5475/6161/5270 5474/6159/5269 5466/6150/5261 -f 5468/6153/5263 5476/6162/5271 5475/6161/5270 5467/6152/5262 -f 5469/6154/5264 5477/6163/5272 5476/6162/5271 5468/6153/5263 -f 5470/6155/5265 5478/6164/5273 5477/6163/5272 5469/6154/5264 -f 5471/6156/5266 5479/6165/5274 5478/6164/5273 5470/6155/5265 -f 5472/6149/5260 5480/6158/5268 5479/6165/5274 5471/6156/5266 -f 5473/6157/5267 5481/6166/5251 5488/6167/5252 5480/6158/5268 -f 5474/6159/5269 5482/6168/5253 5481/6169/5251 5473/6160/5267 -f 5475/6161/5270 5483/6170/5275 5482/6168/5253 5474/6159/5269 -f 5476/6162/5271 5484/6171/5276 5483/6170/5275 5475/6161/5270 -f 5477/6163/5272 5485/6172/5256 5484/6171/5276 5476/6162/5271 -f 5478/6164/5273 5486/6173/5257 5485/6172/5256 5477/6163/5272 -f 5479/6165/5274 5487/6174/5258 5486/6173/5257 5478/6164/5273 -f 5480/6158/5268 5488/6167/5252 5487/6174/5258 5479/6165/5274 -f 5481/6166/5251 5489/6175/5277 5496/6176/5278 5488/6167/5252 -f 5482/6168/5253 5490/6177/5279 5489/6178/5277 5481/6169/5251 -f 5483/6170/5275 5491/6179/5262 5490/6177/5279 5482/6168/5253 -f 5484/6171/5276 5492/6180/5263 5491/6179/5262 5483/6170/5275 -f 5485/6172/5256 5493/6181/5264 5492/6180/5263 5484/6171/5276 -f 5486/6173/5257 5494/6182/5265 5493/6181/5264 5485/6172/5256 -f 5487/6174/5258 5495/6183/5266 5494/6182/5265 5486/6173/5257 -f 5488/6167/5252 5496/6176/5278 5495/6183/5266 5487/6174/5258 -f 5489/6175/5277 5497/6184/5280 5504/6185/5281 5496/6176/5278 -f 5490/6177/5279 5498/6186/5282 5497/6187/5280 5489/6178/5277 -f 5491/6179/5262 5499/6188/5283 5498/6186/5282 5490/6177/5279 -f 5492/6180/5263 5500/6189/5284 5499/6188/5283 5491/6179/5262 -f 5493/6181/5264 5501/6190/5285 5500/6189/5284 5492/6180/5263 -f 5494/6182/5265 5502/6191/5286 5501/6190/5285 5493/6181/5264 -f 5495/6183/5266 5503/6192/5287 5502/6191/5286 5494/6182/5265 -f 5496/6176/5278 5504/6185/5281 5503/6192/5287 5495/6183/5266 -f 5505/6193/5288 5513/6194/5288 5520/6195/5289 5512/6196/5289 -f 5506/6197/5290 5514/6198/5290 5513/6199/5288 5505/6200/5288 -f 5507/6201/5291 5515/6202/5291 5514/6198/5290 5506/6197/5290 -f 5508/6203/5292 5516/6204/5292 5515/6202/5291 5507/6201/5291 -f 5509/6205/5293 5517/6206/5293 5516/6204/5292 5508/6203/5292 -f 5510/6207/5294 5518/6208/5294 5517/6206/5293 5509/6205/5293 -f 5511/6209/5295 5519/6210/5295 5518/6208/5294 5510/6207/5294 -f 5512/6196/5289 5520/6195/5289 5519/6210/5295 5511/6209/5295 -f 5513/6194/5288 5521/6211/5296 5528/6212/5297 5520/6195/5289 -f 5514/6198/5290 5522/6213/5298 5521/6214/5296 5513/6199/5288 -f 5515/6202/5291 5523/6215/5299 5522/6213/5298 5514/6198/5290 -f 5516/6204/5292 5524/6216/5300 5523/6215/5299 5515/6202/5291 -f 5517/6206/5293 5525/6217/5301 5524/6216/5300 5516/6204/5292 -f 5518/6208/5294 5526/6218/5302 5525/6217/5301 5517/6206/5293 -f 5519/6210/5295 5527/6219/5303 5526/6218/5302 5518/6208/5294 -f 5520/6195/5289 5528/6212/5297 5527/6219/5303 5519/6210/5295 -f 5521/6211/5296 5529/6220/5304 5536/6221/5305 5528/6212/5297 -f 5522/6213/5298 5530/6222/5306 5529/6223/5304 5521/6214/5296 -f 5523/6215/5299 5531/6224/5307 5530/6222/5306 5522/6213/5298 -f 5524/6216/5300 5532/6225/5308 5531/6224/5307 5523/6215/5299 -f 5525/6217/5301 5533/6226/5309 5532/6225/5308 5524/6216/5300 -f 5526/6218/5302 5534/6227/5310 5533/6226/5309 5525/6217/5301 -f 5527/6219/5303 5535/6228/5311 5534/6227/5310 5526/6218/5302 -f 5528/6212/5297 5536/6221/5305 5535/6228/5311 5527/6219/5303 -f 5529/6220/5304 5537/6229/5312 5544/6230/5313 5536/6221/5305 -f 5530/6222/5306 5538/6231/5314 5537/6232/5312 5529/6223/5304 -f 5531/6224/5307 5539/6233/5315 5538/6231/5314 5530/6222/5306 -f 5532/6225/5308 5540/6234/5316 5539/6233/5315 5531/6224/5307 -f 5533/6226/5309 5541/6235/5317 5540/6234/5316 5532/6225/5308 -f 5534/6227/5310 5542/6236/5318 5541/6235/5317 5533/6226/5309 -f 5535/6228/5311 5543/6237/5319 5542/6236/5318 5534/6227/5310 -f 5536/6221/5305 5544/6230/5313 5543/6237/5319 5535/6228/5311 -f 5537/6229/5312 5545/6238/5320 5552/6239/5321 5544/6230/5313 -f 5538/6231/5314 5546/6240/5322 5545/6241/5320 5537/6232/5312 -f 5539/6233/5315 5547/6242/5323 5546/6240/5322 5538/6231/5314 -f 5540/6234/5316 5548/6243/5324 5547/6242/5323 5539/6233/5315 -f 5541/6235/5317 5549/6244/5325 5548/6243/5324 5540/6234/5316 -f 5542/6236/5318 5550/6245/5326 5549/6244/5325 5541/6235/5317 -f 5543/6237/5319 5551/6246/5327 5550/6245/5326 5542/6236/5318 -f 5544/6230/5313 5552/6239/5321 5551/6246/5327 5543/6237/5319 -f 5545/6238/5320 5553/6247/5328 5560/6248/5329 5552/6239/5321 -f 5546/6240/5322 5554/6249/5330 5553/6250/5328 5545/6241/5320 -f 5547/6242/5323 5555/6251/5331 5554/6249/5330 5546/6240/5322 -f 5548/6243/5324 5556/6252/5332 5555/6251/5331 5547/6242/5323 -f 5549/6244/5325 5557/6253/5333 5556/6252/5332 5548/6243/5324 -f 5550/6245/5326 5558/6254/5334 5557/6253/5333 5549/6244/5325 -f 5551/6246/5327 5559/6255/5335 5558/6254/5334 5550/6245/5326 -f 5552/6239/5321 5560/6248/5329 5559/6255/5335 5551/6246/5327 -f 5553/6247/5328 5561/6256/5312 5568/6257/5313 5560/6248/5329 -f 5554/6249/5330 5562/6258/5314 5561/6259/5312 5553/6250/5328 -f 5555/6251/5331 5563/6260/5336 5562/6258/5314 5554/6249/5330 -f 5556/6252/5332 5564/6261/5316 5563/6260/5336 5555/6251/5331 -f 5557/6253/5333 5565/6262/5317 5564/6261/5316 5556/6252/5332 -f 5558/6254/5334 5566/6263/5318 5565/6262/5317 5557/6253/5333 -f 5559/6255/5335 5567/6264/5337 5566/6263/5318 5558/6254/5334 -f 5560/6248/5329 5568/6257/5313 5567/6264/5337 5559/6255/5335 -f 5561/6256/5312 5569/6265/5320 5576/6266/5338 5568/6257/5313 -f 5562/6258/5314 5570/6267/5322 5569/6268/5320 5561/6259/5312 -f 5563/6260/5336 5571/6269/5323 5570/6267/5322 5562/6258/5314 -f 5564/6261/5316 5572/6270/5339 5571/6269/5323 5563/6260/5336 -f 5565/6262/5317 5573/6271/5340 5572/6270/5339 5564/6261/5316 -f 5566/6263/5318 5574/6272/5326 5573/6271/5340 5565/6262/5317 -f 5567/6264/5337 5575/6273/5327 5574/6272/5326 5566/6263/5318 -f 5568/6257/5313 5576/6266/5338 5575/6273/5327 5567/6264/5337 -f 5569/6265/5320 5577/6274/5341 5584/6275/5342 5576/6266/5338 -f 5570/6267/5322 5578/6276/5343 5577/6277/5341 5569/6268/5320 -f 5571/6269/5323 5579/6278/5331 5578/6276/5343 5570/6267/5322 -f 5572/6270/5339 5580/6279/5344 5579/6278/5331 5571/6269/5323 -f 5573/6271/5340 5581/6280/5345 5580/6279/5344 5572/6270/5339 -f 5574/6272/5326 5582/6281/5334 5581/6280/5345 5573/6271/5340 -f 5575/6273/5327 5583/6282/5346 5582/6281/5334 5574/6272/5326 -f 5576/6266/5338 5584/6275/5342 5583/6282/5346 5575/6273/5327 -f 5585/6283/5347 5593/6284/5347 5600/6285/5348 5592/6286/5348 -f 5586/6287/5349 5594/6288/5349 5593/6289/5347 5585/6290/5347 -f 5587/6291/5350 5595/6292/5350 5594/6288/5349 5586/6287/5349 -f 5588/6293/5351 5596/6294/5352 5595/6292/5350 5587/6291/5350 -f 5589/6295/5353 5597/6296/5353 5596/6294/5352 5588/6293/5351 -f 5590/6297/5354 5598/6298/5354 5597/6296/5353 5589/6295/5353 -f 5591/6299/5355 5599/6300/5355 5598/6298/5354 5590/6297/5354 -f 5592/6286/5348 5600/6285/5348 5599/6300/5355 5591/6299/5355 -f 5593/6284/5347 5601/6301/5356 5608/6302/5357 5600/6285/5348 -f 5594/6288/5349 5602/6303/5358 5601/6304/5356 5593/6289/5347 -f 5595/6292/5350 5603/6305/5359 5602/6303/5358 5594/6288/5349 -f 5596/6294/5352 5604/6306/5360 5603/6305/5359 5595/6292/5350 -f 5597/6296/5353 5605/6307/5361 5604/6306/5360 5596/6294/5352 -f 5598/6298/5354 5606/6308/5362 5605/6307/5361 5597/6296/5353 -f 5599/6300/5355 5607/6309/5363 5606/6308/5362 5598/6298/5354 -f 5600/6285/5348 5608/6302/5357 5607/6309/5363 5599/6300/5355 -f 5601/6301/5356 5609/6310/5364 5616/6311/5365 5608/6302/5357 -f 5602/6303/5358 5610/6312/5366 5609/6313/5364 5601/6304/5356 -f 5603/6305/5359 5611/6314/5367 5610/6312/5366 5602/6303/5358 -f 5604/6306/5360 5612/6315/5368 5611/6314/5367 5603/6305/5359 -f 5605/6307/5361 5613/6316/5369 5612/6315/5368 5604/6306/5360 -f 5606/6308/5362 5614/6317/5370 5613/6316/5369 5605/6307/5361 -f 5607/6309/5363 5615/6318/5371 5614/6317/5370 5606/6308/5362 -f 5608/6302/5357 5616/6311/5365 5615/6318/5371 5607/6309/5363 -f 5609/6310/5364 5617/6319/5372 5624/6320/5373 5616/6311/5365 -f 5610/6312/5366 5618/6321/5374 5617/6322/5372 5609/6313/5364 -f 5611/6314/5367 5619/6323/5375 5618/6321/5374 5610/6312/5366 -f 5612/6315/5368 5620/6324/5376 5619/6323/5375 5611/6314/5367 -f 5613/6316/5369 5621/6325/5377 5620/6324/5376 5612/6315/5368 -f 5614/6317/5370 5622/6326/5378 5621/6325/5377 5613/6316/5369 -f 5615/6318/5371 5623/6327/5379 5622/6326/5378 5614/6317/5370 -f 5616/6311/5365 5624/6320/5373 5623/6327/5379 5615/6318/5371 -f 5617/6319/5372 5625/6328/5380 5632/6329/5381 5624/6320/5373 -f 5618/6321/5374 5626/6330/5382 5625/6331/5380 5617/6322/5372 -f 5619/6323/5375 5627/6332/5383 5626/6330/5382 5618/6321/5374 -f 5620/6324/5376 5628/6333/5384 5627/6332/5383 5619/6323/5375 -f 5621/6325/5377 5629/6334/5385 5628/6333/5384 5620/6324/5376 -f 5622/6326/5378 5630/6335/5386 5629/6334/5385 5621/6325/5377 -f 5623/6327/5379 5631/6336/5387 5630/6335/5386 5622/6326/5378 -f 5624/6320/5373 5632/6329/5381 5631/6336/5387 5623/6327/5379 -f 5625/6328/5380 5633/6337/5388 5640/6338/5389 5632/6329/5381 -f 5626/6330/5382 5634/6339/5390 5633/6340/5388 5625/6331/5380 -f 5627/6332/5383 5635/6341/5391 5634/6339/5390 5626/6330/5382 -f 5628/6333/5384 5636/6342/5392 5635/6341/5391 5627/6332/5383 -f 5629/6334/5385 5637/6343/5393 5636/6342/5392 5628/6333/5384 -f 5630/6335/5386 5638/6344/5394 5637/6343/5393 5629/6334/5385 -f 5631/6336/5387 5639/6345/5395 5638/6344/5394 5630/6335/5386 -f 5632/6329/5381 5640/6338/5389 5639/6345/5395 5631/6336/5387 -f 5633/6337/5388 5641/6346/5372 5648/6347/5373 5640/6338/5389 -f 5634/6339/5390 5642/6348/5374 5641/6349/5372 5633/6340/5388 -f 5635/6341/5391 5643/6350/5375 5642/6348/5374 5634/6339/5390 -f 5636/6342/5392 5644/6351/5376 5643/6350/5375 5635/6341/5391 -f 5637/6343/5393 5645/6352/5377 5644/6351/5376 5636/6342/5392 -f 5638/6344/5394 5646/6353/5378 5645/6352/5377 5637/6343/5393 -f 5639/6345/5395 5647/6354/5379 5646/6353/5378 5638/6344/5394 -f 5640/6338/5389 5648/6347/5373 5647/6354/5379 5639/6345/5395 -f 5641/6346/5372 5649/6355/5380 5656/6356/5381 5648/6347/5373 -f 5642/6348/5374 5650/6357/5382 5649/6358/5380 5641/6349/5372 -f 5643/6350/5375 5651/6359/5383 5650/6357/5382 5642/6348/5374 -f 5644/6351/5376 5652/6360/5384 5651/6359/5383 5643/6350/5375 -f 5645/6352/5377 5653/6361/5385 5652/6360/5384 5644/6351/5376 -f 5646/6353/5378 5654/6362/5396 5653/6361/5385 5645/6352/5377 -f 5647/6354/5379 5655/6363/5397 5654/6362/5396 5646/6353/5378 -f 5648/6347/5373 5656/6356/5381 5655/6363/5397 5647/6354/5379 -f 5649/6355/5380 5657/6364/5398 5664/6365/5399 5656/6356/5381 -f 5650/6357/5382 5658/6366/5390 5657/6367/5398 5649/6358/5380 -f 5651/6359/5383 5659/6368/5400 5658/6366/5390 5650/6357/5382 -f 5652/6360/5384 5660/6369/5401 5659/6368/5400 5651/6359/5383 -f 5653/6361/5385 5661/6370/5402 5660/6369/5401 5652/6360/5384 -f 5654/6362/5396 5662/6371/5394 5661/6370/5402 5653/6361/5385 -f 5655/6363/5397 5663/6372/5395 5662/6371/5394 5654/6362/5396 -f 5656/6356/5381 5664/6365/5399 5663/6372/5395 5655/6363/5397 -f 5665/6373/5403 5673/6374/5403 5680/6375/5404 5672/6376/5405 -f 5666/6377/5406 5674/6378/5407 5673/6379/5403 5665/6380/5403 -f 5667/6381/5408 5675/6382/5408 5674/6378/5407 5666/6377/5406 -f 5668/6383/5409 5676/6384/5409 5675/6382/5408 5667/6381/5408 -f 5669/6385/5410 5677/6386/5411 5676/6384/5409 5668/6383/5409 -f 5670/6387/5412 5678/6388/5413 5677/6386/5411 5669/6385/5410 -f 5671/6389/5414 5679/6390/5415 5678/6388/5413 5670/6387/5412 -f 5672/6376/5405 5680/6375/5404 5679/6390/5415 5671/6389/5414 -f 5673/6374/5403 5681/6391/5416 5688/6392/5417 5680/6375/5404 -f 5674/6378/5407 5682/6393/5418 5681/6394/5416 5673/6379/5403 -f 5675/6382/5408 5683/6395/5419 5682/6393/5418 5674/6378/5407 -f 5676/6384/5409 5684/6396/5420 5683/6395/5419 5675/6382/5408 -f 5677/6386/5411 5685/6397/5421 5684/6396/5420 5676/6384/5409 -f 5678/6388/5413 5686/6398/5422 5685/6397/5421 5677/6386/5411 -f 5679/6390/5415 5687/6399/5423 5686/6398/5422 5678/6388/5413 -f 5680/6375/5404 5688/6392/5417 5687/6399/5423 5679/6390/5415 -f 5681/6391/5416 5689/6400/5424 5696/6401/5425 5688/6392/5417 -f 5682/6393/5418 5690/6402/5426 5689/6403/5424 5681/6394/5416 -f 5683/6395/5419 5691/6404/5427 5690/6402/5426 5682/6393/5418 -f 5684/6396/5420 5692/6405/5428 5691/6404/5427 5683/6395/5419 -f 5685/6397/5421 5693/6406/5429 5692/6405/5428 5684/6396/5420 -f 5686/6398/5422 5694/6407/5430 5693/6406/5429 5685/6397/5421 -f 5687/6399/5423 5695/6408/5431 5694/6407/5430 5686/6398/5422 -f 5688/6392/5417 5696/6401/5425 5695/6408/5431 5687/6399/5423 -f 5689/6400/5424 5697/6409/5432 5704/6410/5433 5696/6401/5425 -f 5690/6402/5426 5698/6411/5434 5697/6412/5432 5689/6403/5424 -f 5691/6404/5427 5699/6413/5435 5698/6411/5434 5690/6402/5426 -f 5692/6405/5428 5700/6414/5436 5699/6413/5435 5691/6404/5427 -f 5693/6406/5429 5701/6415/5437 5700/6414/5436 5692/6405/5428 -f 5694/6407/5430 5702/6416/5438 5701/6415/5437 5693/6406/5429 -f 5695/6408/5431 5703/6417/5439 5702/6416/5438 5694/6407/5430 -f 5696/6401/5425 5704/6410/5433 5703/6417/5439 5695/6408/5431 -f 5697/6409/5432 5705/6418/5440 5712/6419/5433 5704/6410/5433 -f 5698/6411/5434 5706/6420/5434 5705/6421/5440 5697/6412/5432 -f 5699/6413/5435 5707/6422/5435 5706/6420/5434 5698/6411/5434 -f 5700/6414/5436 5708/6423/5441 5707/6422/5435 5699/6413/5435 -f 5701/6415/5437 5709/6424/5442 5708/6423/5441 5700/6414/5436 -f 5702/6416/5438 5710/6425/5443 5709/6424/5442 5701/6415/5437 -f 5703/6417/5439 5711/6426/5444 5710/6425/5443 5702/6416/5438 -f 5704/6410/5433 5712/6419/5433 5711/6426/5444 5703/6417/5439 -f 5705/6418/5440 5713/6427/5445 5720/6428/5446 5712/6419/5433 -f 5706/6420/5434 5714/6429/5447 5713/6430/5445 5705/6421/5440 -f 5707/6422/5435 5715/6431/5448 5714/6429/5447 5706/6420/5434 -f 5708/6423/5441 5716/6432/5449 5715/6431/5448 5707/6422/5435 -f 5709/6424/5442 5717/6433/5450 5716/6432/5449 5708/6423/5441 -f 5710/6425/5443 5718/6434/5451 5717/6433/5450 5709/6424/5442 -f 5711/6426/5444 5719/6435/5452 5718/6434/5451 5710/6425/5443 -f 5712/6419/5433 5720/6428/5446 5719/6435/5452 5711/6426/5444 -f 5713/6427/5445 5721/6436/5453 5728/6437/5404 5720/6428/5446 -f 5714/6429/5447 5722/6438/5434 5721/6439/5453 5713/6430/5445 -f 5715/6431/5448 5723/6440/5435 5722/6438/5434 5714/6429/5447 -f 5716/6432/5449 5724/6441/5454 5723/6440/5435 5715/6431/5448 -f 5717/6433/5450 5725/6442/5455 5724/6441/5454 5716/6432/5449 -f 5718/6434/5451 5726/6443/5456 5725/6442/5455 5717/6433/5450 -f 5719/6435/5452 5727/6444/5457 5726/6443/5456 5718/6434/5451 -f 5720/6428/5446 5728/6437/5404 5727/6444/5457 5719/6435/5452 -f 5721/6436/5453 5729/6445/5458 5736/6446/5405 5728/6437/5404 -f 5722/6438/5434 5730/6447/5434 5729/6448/5458 5721/6439/5453 -f 5723/6440/5435 5731/6449/5408 5730/6447/5434 5722/6438/5434 -f 5724/6441/5454 5732/6450/5454 5731/6449/5408 5723/6440/5435 -f 5725/6442/5455 5733/6451/5459 5732/6450/5454 5724/6441/5454 -f 5726/6443/5456 5734/6452/5460 5733/6451/5459 5725/6442/5455 -f 5727/6444/5457 5735/6453/5444 5734/6452/5460 5726/6443/5456 -f 5728/6437/5404 5736/6446/5405 5735/6453/5444 5727/6444/5457 -f 5729/6445/5458 5737/6454/5461 5744/6455/5462 5736/6446/5405 -f 5730/6447/5434 5738/6456/5426 5737/6457/5461 5729/6448/5458 -f 5731/6449/5408 5739/6458/5463 5738/6456/5426 5730/6447/5434 -f 5732/6450/5454 5740/6459/5464 5739/6458/5463 5731/6449/5408 -f 5733/6451/5459 5741/6460/5465 5740/6459/5464 5732/6450/5454 -f 5734/6452/5460 5742/6461/5451 5741/6460/5465 5733/6451/5459 -f 5735/6453/5444 5743/6462/5466 5742/6461/5451 5734/6452/5460 -f 5736/6446/5405 5744/6455/5462 5743/6462/5466 5735/6453/5444 -f 5745/6463/5467 5753/6464/5467 5760/6465/5468 5752/6466/5468 -f 5746/6467/5469 5754/6468/5469 5753/6469/5467 5745/6470/5467 -f 5747/6471/5470 5755/6472/5470 5754/6468/5469 5746/6467/5469 -f 5748/6473/5471 5756/6474/5471 5755/6472/5470 5747/6471/5470 -f 5749/6475/5472 5757/6476/5472 5756/6474/5471 5748/6473/5471 -f 5750/6477/5473 5758/6478/5473 5757/6476/5472 5749/6475/5472 -f 5751/6479/5474 5759/6480/5474 5758/6478/5473 5750/6477/5473 -f 5752/6466/5468 5760/6465/5468 5759/6480/5474 5751/6479/5474 -f 5753/6464/5467 5761/6481/5475 5768/6482/5476 5760/6465/5468 -f 5754/6468/5469 5762/6483/5477 5761/6484/5475 5753/6469/5467 -f 5755/6472/5470 5763/6485/5478 5762/6483/5477 5754/6468/5469 -f 5756/6474/5471 5764/6486/5479 5763/6485/5478 5755/6472/5470 -f 5757/6476/5472 5765/6487/5480 5764/6486/5479 5756/6474/5471 -f 5758/6478/5473 5766/6488/5481 5765/6487/5480 5757/6476/5472 -f 5759/6480/5474 5767/6489/5482 5766/6488/5481 5758/6478/5473 -f 5760/6465/5468 5768/6482/5476 5767/6489/5482 5759/6480/5474 -f 5761/6481/5475 5769/6490/5483 5776/6491/5484 5768/6482/5476 -f 5762/6483/5477 5770/6492/5485 5769/6493/5483 5761/6484/5475 -f 5763/6485/5478 5771/6494/5486 5770/6492/5485 5762/6483/5477 -f 5764/6486/5479 5772/6495/5487 5771/6494/5486 5763/6485/5478 -f 5765/6487/5480 5773/6496/5488 5772/6495/5487 5764/6486/5479 -f 5766/6488/5481 5774/6497/5489 5773/6496/5488 5765/6487/5480 -f 5767/6489/5482 5775/6498/5490 5774/6497/5489 5766/6488/5481 -f 5768/6482/5476 5776/6491/5484 5775/6498/5490 5767/6489/5482 -f 5769/6490/5483 5777/6499/5491 5784/6500/5492 5776/6491/5484 -f 5770/6492/5485 5778/6501/5493 5777/6502/5491 5769/6493/5483 -f 5771/6494/5486 5779/6503/5494 5778/6501/5493 5770/6492/5485 -f 5772/6495/5487 5780/6504/5495 5779/6503/5494 5771/6494/5486 -f 5773/6496/5488 5781/6505/5496 5780/6504/5495 5772/6495/5487 -f 5774/6497/5489 5782/6506/5497 5781/6505/5496 5773/6496/5488 -f 5775/6498/5490 5783/6507/5498 5782/6506/5497 5774/6497/5489 -f 5776/6491/5484 5784/6500/5492 5783/6507/5498 5775/6498/5490 -f 5777/6499/5491 5785/6508/5499 5792/6509/5500 5784/6500/5492 -f 5778/6501/5493 5786/6510/5501 5785/6511/5499 5777/6502/5491 -f 5779/6503/5494 5787/6512/5502 5786/6510/5501 5778/6501/5493 -f 5780/6504/5495 5788/6513/5503 5787/6512/5502 5779/6503/5494 -f 5781/6505/5496 5789/6514/5504 5788/6513/5503 5780/6504/5495 -f 5782/6506/5497 5790/6515/5505 5789/6514/5504 5781/6505/5496 -f 5783/6507/5498 5791/6516/5506 5790/6515/5505 5782/6506/5497 -f 5784/6500/5492 5792/6509/5500 5791/6516/5506 5783/6507/5498 -f 5785/6508/5499 5793/6517/5507 5800/6518/5508 5792/6509/5500 -f 5786/6510/5501 5794/6519/5509 5793/6520/5507 5785/6511/5499 -f 5787/6512/5502 5795/6521/5510 5794/6519/5509 5786/6510/5501 -f 5788/6513/5503 5796/6522/5511 5795/6521/5510 5787/6512/5502 -f 5789/6514/5504 5797/6523/5512 5796/6522/5511 5788/6513/5503 -f 5790/6515/5505 5798/6524/5513 5797/6523/5512 5789/6514/5504 -f 5791/6516/5506 5799/6525/5514 5798/6524/5513 5790/6515/5505 -f 5792/6509/5500 5800/6518/5508 5799/6525/5514 5791/6516/5506 -f 5793/6517/5507 5801/6526/5491 5808/6527/5492 5800/6518/5508 -f 5794/6519/5509 5802/6528/5493 5801/6529/5491 5793/6520/5507 -f 5795/6521/5510 5803/6530/5494 5802/6528/5493 5794/6519/5509 -f 5796/6522/5511 5804/6531/5495 5803/6530/5494 5795/6521/5510 -f 5797/6523/5512 5805/6532/5496 5804/6531/5495 5796/6522/5511 -f 5798/6524/5513 5806/6533/5497 5805/6532/5496 5797/6523/5512 -f 5799/6525/5514 5807/6534/5498 5806/6533/5497 5798/6524/5513 -f 5800/6518/5508 5808/6527/5492 5807/6534/5498 5799/6525/5514 -f 5801/6526/5491 5809/6535/5515 5816/6536/5500 5808/6527/5492 -f 5802/6528/5493 5810/6537/5501 5809/6538/5515 5801/6529/5491 -f 5803/6530/5494 5811/6539/5502 5810/6537/5501 5802/6528/5493 -f 5804/6531/5495 5812/6540/5516 5811/6539/5502 5803/6530/5494 -f 5805/6532/5496 5813/6541/5517 5812/6540/5516 5804/6531/5495 -f 5806/6533/5497 5814/6542/5518 5813/6541/5517 5805/6532/5496 -f 5807/6534/5498 5815/6543/5506 5814/6542/5518 5806/6533/5497 -f 5808/6527/5492 5816/6536/5500 5815/6543/5506 5807/6534/5498 -f 5809/6535/5515 5817/6544/5519 5824/6545/5520 5816/6536/5500 -f 5810/6537/5501 5818/6546/5521 5817/6547/5519 5809/6538/5515 -f 5811/6539/5502 5819/6548/5510 5818/6546/5521 5810/6537/5501 -f 5812/6540/5516 5820/6549/5511 5819/6548/5510 5811/6539/5502 -f 5813/6541/5517 5821/6550/5512 5820/6549/5511 5812/6540/5516 -f 5814/6542/5518 5822/6551/5522 5821/6550/5512 5813/6541/5517 -f 5815/6543/5506 5823/6552/5523 5822/6551/5522 5814/6542/5518 -f 5816/6536/5500 5824/6545/5520 5823/6552/5523 5815/6543/5506 -f 5825/6553/5524 5833/6554/5524 5840/6555/5525 5832/6556/5525 -f 5826/6557/5526 5834/6558/5526 5833/6559/5524 5825/6560/5524 -f 5827/6561/5527 5835/6562/5527 5834/6558/5526 5826/6557/5526 -f 5828/6563/5528 5836/6564/5528 5835/6562/5527 5827/6561/5527 -f 5829/6565/5529 5837/6566/5529 5836/6564/5528 5828/6563/5528 -f 5830/6567/5530 5838/6568/5530 5837/6566/5529 5829/6565/5529 -f 5831/6569/5531 5839/6570/5531 5838/6568/5530 5830/6567/5530 -f 5832/6556/5525 5840/6555/5525 5839/6570/5531 5831/6569/5531 -f 5833/6554/5524 5841/6571/5532 5848/6572/5533 5840/6555/5525 -f 5834/6558/5526 5842/6573/5534 5841/6574/5532 5833/6559/5524 -f 5835/6562/5527 5843/6575/5535 5842/6573/5534 5834/6558/5526 -f 5836/6564/5528 5844/6576/5536 5843/6575/5535 5835/6562/5527 -f 5837/6566/5529 5845/6577/5537 5844/6576/5536 5836/6564/5528 -f 5838/6568/5530 5846/6578/5538 5845/6577/5537 5837/6566/5529 -f 5839/6570/5531 5847/6579/5539 5846/6578/5538 5838/6568/5530 -f 5840/6555/5525 5848/6572/5533 5847/6579/5539 5839/6570/5531 -f 5841/6571/5532 5849/6580/5540 5856/6581/5541 5848/6572/5533 -f 5842/6573/5534 5850/6582/5542 5849/6583/5540 5841/6574/5532 -f 5843/6575/5535 5851/6584/5543 5850/6582/5542 5842/6573/5534 -f 5844/6576/5536 5852/6585/5544 5851/6584/5543 5843/6575/5535 -f 5845/6577/5537 5853/6586/5545 5852/6585/5544 5844/6576/5536 -f 5846/6578/5538 5854/6587/5546 5853/6586/5545 5845/6577/5537 -f 5847/6579/5539 5855/6588/5547 5854/6587/5546 5846/6578/5538 -f 5848/6572/5533 5856/6581/5541 5855/6588/5547 5847/6579/5539 -f 5849/6580/5540 5857/6589/5548 5864/6590/5549 5856/6581/5541 -f 5850/6582/5542 5858/6591/5550 5857/6592/5548 5849/6583/5540 -f 5851/6584/5543 5859/6593/5551 5858/6591/5550 5850/6582/5542 -f 5852/6585/5544 5860/6594/5552 5859/6593/5551 5851/6584/5543 -f 5853/6586/5545 5861/6595/5553 5860/6594/5552 5852/6585/5544 -f 5854/6587/5546 5862/6596/5554 5861/6595/5553 5853/6586/5545 -f 5855/6588/5547 5863/6597/5555 5862/6596/5554 5854/6587/5546 -f 5856/6581/5541 5864/6590/5549 5863/6597/5555 5855/6588/5547 -f 5857/6589/5548 5865/6598/5556 5872/6599/5557 5864/6590/5549 -f 5858/6591/5550 5866/6600/5558 5865/6601/5556 5857/6592/5548 -f 5859/6593/5551 5867/6602/5559 5866/6600/5558 5858/6591/5550 -f 5860/6594/5552 5868/6603/5560 5867/6602/5559 5859/6593/5551 -f 5861/6595/5553 5869/6604/5561 5868/6603/5560 5860/6594/5552 -f 5862/6596/5554 5870/6605/5562 5869/6604/5561 5861/6595/5553 -f 5863/6597/5555 5871/6606/5563 5870/6605/5562 5862/6596/5554 -f 5864/6590/5549 5872/6599/5557 5871/6606/5563 5863/6597/5555 -f 5865/6598/5556 5873/6607/5564 5880/6608/5565 5872/6599/5557 -f 5866/6600/5558 5874/6609/5566 5873/6610/5564 5865/6601/5556 -f 5867/6602/5559 5875/6611/5567 5874/6609/5566 5866/6600/5558 -f 5868/6603/5560 5876/6612/5568 5875/6611/5567 5867/6602/5559 -f 5869/6604/5561 5877/6613/5569 5876/6612/5568 5868/6603/5560 -f 5870/6605/5562 5878/6614/5570 5877/6613/5569 5869/6604/5561 -f 5871/6606/5563 5879/6615/5571 5878/6614/5570 5870/6605/5562 -f 5872/6599/5557 5880/6608/5565 5879/6615/5571 5871/6606/5563 -f 5873/6607/5564 5881/6616/5548 5888/6617/5572 5880/6608/5565 -f 5874/6609/5566 5882/6618/5550 5881/6619/5548 5873/6610/5564 -f 5875/6611/5567 5883/6620/5551 5882/6618/5550 5874/6609/5566 -f 5876/6612/5568 5884/6621/5552 5883/6620/5551 5875/6611/5567 -f 5877/6613/5569 5885/6622/5553 5884/6621/5552 5876/6612/5568 -f 5878/6614/5570 5886/6623/5554 5885/6622/5553 5877/6613/5569 -f 5879/6615/5571 5887/6624/5573 5886/6623/5554 5878/6614/5570 -f 5880/6608/5565 5888/6617/5572 5887/6624/5573 5879/6615/5571 -f 5881/6616/5548 5889/6625/5574 5896/6626/5557 5888/6617/5572 -f 5882/6618/5550 5890/6627/5558 5889/6628/5574 5881/6619/5548 -f 5883/6620/5551 5891/6629/5575 5890/6627/5558 5882/6618/5550 -f 5884/6621/5552 5892/6630/5560 5891/6629/5575 5883/6620/5551 -f 5885/6622/5553 5893/6631/5561 5892/6630/5560 5884/6621/5552 -f 5886/6623/5554 5894/6632/5576 5893/6631/5561 5885/6622/5553 -f 5887/6624/5573 5895/6633/5563 5894/6632/5576 5886/6623/5554 -f 5888/6617/5572 5896/6626/5557 5895/6633/5563 5887/6624/5573 -f 5889/6625/5574 5897/6634/5577 5904/6635/5578 5896/6626/5557 -f 5890/6627/5558 5898/6636/5579 5897/6637/5577 5889/6628/5574 -f 5891/6629/5575 5899/6638/5580 5898/6636/5579 5890/6627/5558 -f 5892/6630/5560 5900/6639/5581 5899/6638/5580 5891/6629/5575 -f 5893/6631/5561 5901/6640/5582 5900/6639/5581 5892/6630/5560 -f 5894/6632/5576 5902/6641/5570 5901/6640/5582 5893/6631/5561 -f 5895/6633/5563 5903/6642/5583 5902/6641/5570 5894/6632/5576 -f 5896/6626/5557 5904/6635/5578 5903/6642/5583 5895/6633/5563 -f 5905/6643/5584 5913/6644/5584 5920/6645/5585 5912/6646/5585 -f 5906/6647/5586 5914/6648/5586 5913/6649/5584 5905/6650/5584 -f 5907/6651/5587 5915/6652/5588 5914/6648/5586 5906/6647/5586 -f 5908/6653/5589 5916/6654/5589 5915/6652/5588 5907/6651/5587 -f 5909/6655/5590 5917/6656/5590 5916/6654/5589 5908/6653/5589 -f 5910/6657/5591 5918/6658/5591 5917/6656/5590 5909/6655/5590 -f 5911/6659/5592 5919/6660/5592 5918/6658/5591 5910/6657/5591 -f 5912/6646/5585 5920/6645/5585 5919/6660/5592 5911/6659/5592 -f 5913/6644/5584 5921/6661/5593 5928/6662/5594 5920/6645/5585 -f 5914/6648/5586 5922/6663/5595 5921/6664/5593 5913/6649/5584 -f 5915/6652/5588 5923/6665/5596 5922/6663/5595 5914/6648/5586 -f 5916/6654/5589 5924/6666/5597 5923/6665/5596 5915/6652/5588 -f 5917/6656/5590 5925/6667/5598 5924/6666/5597 5916/6654/5589 -f 5918/6658/5591 5926/6668/5599 5925/6667/5598 5917/6656/5590 -f 5919/6660/5592 5927/6669/5600 5926/6668/5599 5918/6658/5591 -f 5920/6645/5585 5928/6662/5594 5927/6669/5600 5919/6660/5592 -f 5921/6661/5593 5929/6670/5601 5936/6671/5602 5928/6662/5594 -f 5922/6663/5595 5930/6672/5603 5929/6673/5601 5921/6664/5593 -f 5923/6665/5596 5931/6674/5604 5930/6672/5603 5922/6663/5595 -f 5924/6666/5597 5932/6675/5605 5931/6674/5604 5923/6665/5596 -f 5925/6667/5598 5933/6676/5606 5932/6675/5605 5924/6666/5597 -f 5926/6668/5599 5934/6677/5607 5933/6676/5606 5925/6667/5598 -f 5927/6669/5600 5935/6678/5608 5934/6677/5607 5926/6668/5599 -f 5928/6662/5594 5936/6671/5602 5935/6678/5608 5927/6669/5600 -f 5929/6670/5601 5937/6679/5609 5944/6680/5610 5936/6671/5602 -f 5930/6672/5603 5938/6681/5611 5937/6682/5609 5929/6673/5601 -f 5931/6674/5604 5939/6683/5612 5938/6681/5611 5930/6672/5603 -f 5932/6675/5605 5940/6684/5613 5939/6683/5612 5931/6674/5604 -f 5933/6676/5606 5941/6685/5614 5940/6684/5613 5932/6675/5605 -f 5934/6677/5607 5942/6686/5615 5941/6685/5614 5933/6676/5606 -f 5935/6678/5608 5943/6687/5616 5942/6686/5615 5934/6677/5607 -f 5936/6671/5602 5944/6680/5610 5943/6687/5616 5935/6678/5608 -f 5937/6679/5609 5945/6688/5617 5952/6689/5618 5944/6680/5610 -f 5938/6681/5611 5946/6690/5619 5945/6691/5617 5937/6682/5609 -f 5939/6683/5612 5947/6692/5620 5946/6690/5619 5938/6681/5611 -f 5940/6684/5613 5948/6693/5621 5947/6692/5620 5939/6683/5612 -f 5941/6685/5614 5949/6694/5622 5948/6693/5621 5940/6684/5613 -f 5942/6686/5615 5950/6695/5623 5949/6694/5622 5941/6685/5614 -f 5943/6687/5616 5951/6696/5624 5950/6695/5623 5942/6686/5615 -f 5944/6680/5610 5952/6689/5618 5951/6696/5624 5943/6687/5616 -f 5945/6688/5617 5953/6697/5625 5960/6698/5626 5952/6689/5618 -f 5946/6690/5619 5954/6699/5627 5953/6700/5625 5945/6691/5617 -f 5947/6692/5620 5955/6701/5628 5954/6699/5627 5946/6690/5619 -f 5948/6693/5621 5956/6702/5629 5955/6701/5628 5947/6692/5620 -f 5949/6694/5622 5957/6703/5630 5956/6702/5629 5948/6693/5621 -f 5950/6695/5623 5958/6704/5631 5957/6703/5630 5949/6694/5622 -f 5951/6696/5624 5959/6705/5632 5958/6704/5631 5950/6695/5623 -f 5952/6689/5618 5960/6698/5626 5959/6705/5632 5951/6696/5624 -f 5953/6697/5625 5961/6706/5633 5968/6707/5634 5960/6698/5626 -f 5954/6699/5627 5962/6708/5635 5961/6709/5633 5953/6700/5625 -f 5955/6701/5628 5963/6710/5636 5962/6708/5635 5954/6699/5627 -f 5956/6702/5629 5964/6711/5637 5963/6710/5636 5955/6701/5628 -f 5957/6703/5630 5965/6712/5638 5964/6711/5637 5956/6702/5629 -f 5958/6704/5631 5966/6713/5639 5965/6712/5638 5957/6703/5630 -f 5959/6705/5632 5967/6714/5640 5966/6713/5639 5958/6704/5631 -f 5960/6698/5626 5968/6707/5634 5967/6714/5640 5959/6705/5632 -f 5961/6706/5633 5969/6715/5641 5976/6716/5642 5968/6707/5634 -f 5962/6708/5635 5970/6717/5643 5969/6718/5641 5961/6709/5633 -f 5963/6710/5636 5971/6719/5644 5970/6717/5643 5962/6708/5635 -f 5964/6711/5637 5972/6720/5645 5971/6719/5644 5963/6710/5636 -f 5965/6712/5638 5973/6721/5646 5972/6720/5645 5964/6711/5637 -f 5966/6713/5639 5974/6722/5647 5973/6721/5646 5965/6712/5638 -f 5967/6714/5640 5975/6723/5648 5974/6722/5647 5966/6713/5639 -f 5968/6707/5634 5976/6716/5642 5975/6723/5648 5967/6714/5640 -f 5969/6715/5641 5977/6724/5649 5984/6725/5650 5976/6716/5642 -f 5970/6717/5643 5978/6726/5651 5977/6727/5649 5969/6718/5641 -f 5971/6719/5644 5979/6728/5652 5978/6726/5651 5970/6717/5643 -f 5972/6720/5645 5980/6729/5653 5979/6728/5652 5971/6719/5644 -f 5973/6721/5646 5981/6730/5654 5980/6729/5653 5972/6720/5645 -f 5974/6722/5647 5982/6731/5655 5981/6730/5654 5973/6721/5646 -f 5975/6723/5648 5983/6732/5656 5982/6731/5655 5974/6722/5647 -f 5976/6716/5642 5984/6725/5650 5983/6732/5656 5975/6723/5648 -f 5985/6733/5657 5993/6734/5657 6000/6735/5658 5992/6736/5658 -f 5986/6737/5659 5994/6738/5659 5993/6739/5657 5985/6740/5657 -f 5987/6741/5660 5995/6742/5660 5994/6738/5659 5986/6737/5659 -f 5988/6743/5661 5996/6744/5661 5995/6742/5660 5987/6741/5660 -f 5989/6745/5662 5997/6746/5662 5996/6744/5661 5988/6743/5661 -f 5990/6747/5663 5998/6748/5663 5997/6746/5662 5989/6745/5662 -f 5991/6749/5664 5999/6750/5664 5998/6748/5663 5990/6747/5663 -f 5992/6736/5658 6000/6735/5658 5999/6750/5664 5991/6749/5664 -f 5993/6734/5657 6001/6751/5665 6008/6752/5666 6000/6735/5658 -f 5994/6738/5659 6002/6753/5667 6001/6754/5665 5993/6739/5657 -f 5995/6742/5660 6003/6755/5668 6002/6753/5667 5994/6738/5659 -f 5996/6744/5661 6004/6756/5669 6003/6755/5668 5995/6742/5660 -f 5997/6746/5662 6005/6757/5670 6004/6756/5669 5996/6744/5661 -f 5998/6748/5663 6006/6758/5671 6005/6757/5670 5997/6746/5662 -f 5999/6750/5664 6007/6759/5672 6006/6758/5671 5998/6748/5663 -f 6000/6735/5658 6008/6752/5666 6007/6759/5672 5999/6750/5664 -f 6001/6751/5665 6009/6760/5673 6016/6761/5674 6008/6752/5666 -f 6002/6753/5667 6010/6762/5675 6009/6763/5673 6001/6754/5665 -f 6003/6755/5668 6011/6764/5676 6010/6762/5675 6002/6753/5667 -f 6004/6756/5669 6012/6765/5677 6011/6764/5676 6003/6755/5668 -f 6005/6757/5670 6013/6766/5678 6012/6765/5677 6004/6756/5669 -f 6006/6758/5671 6014/6767/5679 6013/6766/5678 6005/6757/5670 -f 6007/6759/5672 6015/6768/5680 6014/6767/5679 6006/6758/5671 -f 6008/6752/5666 6016/6761/5674 6015/6768/5680 6007/6759/5672 -f 6009/6760/5673 6017/6769/5681 6024/6770/5682 6016/6761/5674 -f 6010/6762/5675 6018/6771/5683 6017/6772/5681 6009/6763/5673 -f 6011/6764/5676 6019/6773/5684 6018/6771/5683 6010/6762/5675 -f 6012/6765/5677 6020/6774/5685 6019/6773/5684 6011/6764/5676 -f 6013/6766/5678 6021/6775/5686 6020/6774/5685 6012/6765/5677 -f 6014/6767/5679 6022/6776/5687 6021/6775/5686 6013/6766/5678 -f 6015/6768/5680 6023/6777/5688 6022/6776/5687 6014/6767/5679 -f 6016/6761/5674 6024/6770/5682 6023/6777/5688 6015/6768/5680 -f 6017/6769/5681 6025/6778/5689 6032/6779/5690 6024/6770/5682 -f 6018/6771/5683 6026/6780/5691 6025/6781/5689 6017/6772/5681 -f 6019/6773/5684 6027/6782/5692 6026/6780/5691 6018/6771/5683 -f 6020/6774/5685 6028/6783/5693 6027/6782/5692 6019/6773/5684 -f 6021/6775/5686 6029/6784/5694 6028/6783/5693 6020/6774/5685 -f 6022/6776/5687 6030/6785/5695 6029/6784/5694 6021/6775/5686 -f 6023/6777/5688 6031/6786/5696 6030/6785/5695 6022/6776/5687 -f 6024/6770/5682 6032/6779/5690 6031/6786/5696 6023/6777/5688 -f 6025/6778/5689 6033/6787/5697 6040/6788/5698 6032/6779/5690 -f 6026/6780/5691 6034/6789/5699 6033/6790/5697 6025/6781/5689 -f 6027/6782/5692 6035/6791/5700 6034/6789/5699 6026/6780/5691 -f 6028/6783/5693 6036/6792/5701 6035/6791/5700 6027/6782/5692 -f 6029/6784/5694 6037/6793/5702 6036/6792/5701 6028/6783/5693 -f 6030/6785/5695 6038/6794/5703 6037/6793/5702 6029/6784/5694 -f 6031/6786/5696 6039/6795/5704 6038/6794/5703 6030/6785/5695 -f 6032/6779/5690 6040/6788/5698 6039/6795/5704 6031/6786/5696 -f 6033/6787/5697 6041/6796/5681 6048/6797/5682 6040/6788/5698 -f 6034/6789/5699 6042/6798/5683 6041/6799/5681 6033/6790/5697 -f 6035/6791/5700 6043/6800/5684 6042/6798/5683 6034/6789/5699 -f 6036/6792/5701 6044/6801/5685 6043/6800/5684 6035/6791/5700 -f 6037/6793/5702 6045/6802/5686 6044/6801/5685 6036/6792/5701 -f 6038/6794/5703 6046/6803/5687 6045/6802/5686 6037/6793/5702 -f 6039/6795/5704 6047/6804/5705 6046/6803/5687 6038/6794/5703 -f 6040/6788/5698 6048/6797/5682 6047/6804/5705 6039/6795/5704 -f 6041/6796/5681 6049/6805/5689 6056/6806/5690 6048/6797/5682 -f 6042/6798/5683 6050/6807/5691 6049/6808/5689 6041/6799/5681 -f 6043/6800/5684 6051/6809/5692 6050/6807/5691 6042/6798/5683 -f 6044/6801/5685 6052/6810/5706 6051/6809/5692 6043/6800/5684 -f 6045/6802/5686 6053/6811/5694 6052/6810/5706 6044/6801/5685 -f 6046/6803/5687 6054/6812/5695 6053/6811/5694 6045/6802/5686 -f 6047/6804/5705 6055/6813/5707 6054/6812/5695 6046/6803/5687 -f 6048/6797/5682 6056/6806/5690 6055/6813/5707 6047/6804/5705 -f 6049/6805/5689 6057/6814/5708 6064/6815/5709 6056/6806/5690 -f 6050/6807/5691 6058/6816/5699 6057/6817/5708 6049/6808/5689 -f 6051/6809/5692 6059/6818/5700 6058/6816/5699 6050/6807/5691 -f 6052/6810/5706 6060/6819/5701 6059/6818/5700 6051/6809/5692 -f 6053/6811/5694 6061/6820/5702 6060/6819/5701 6052/6810/5706 -f 6054/6812/5695 6062/6821/5710 6061/6820/5702 6053/6811/5694 -f 6055/6813/5707 6063/6822/5711 6062/6821/5710 6054/6812/5695 -f 6056/6806/5690 6064/6815/5709 6063/6822/5711 6055/6813/5707 -f 6065/6823/5712 6073/6824/5712 6080/6825/5713 6072/6826/5713 -f 6066/6827/5714 6074/6828/5714 6073/6829/5712 6065/6830/5712 -f 6067/6831/5715 6075/6832/5715 6074/6828/5714 6066/6827/5714 -f 6068/6833/5716 6076/6834/5716 6075/6832/5715 6067/6831/5715 -f 6069/6835/5717 6077/6836/5717 6076/6834/5716 6068/6833/5716 -f 6070/6837/5718 6078/6838/5718 6077/6836/5717 6069/6835/5717 -f 6071/6839/5719 6079/6840/5719 6078/6838/5718 6070/6837/5718 -f 6072/6826/5713 6080/6825/5713 6079/6840/5719 6071/6839/5719 -f 6073/6824/5712 6081/6841/5720 6088/6842/5721 6080/6825/5713 -f 6074/6828/5714 6082/6843/5722 6081/6844/5720 6073/6829/5712 -f 6075/6832/5715 6083/6845/5723 6082/6843/5722 6074/6828/5714 -f 6076/6834/5716 6084/6846/5724 6083/6845/5723 6075/6832/5715 -f 6077/6836/5717 6085/6847/5725 6084/6846/5724 6076/6834/5716 -f 6078/6838/5718 6086/6848/5726 6085/6847/5725 6077/6836/5717 -f 6079/6840/5719 6087/6849/5727 6086/6848/5726 6078/6838/5718 -f 6080/6825/5713 6088/6842/5721 6087/6849/5727 6079/6840/5719 -f 6081/6841/5720 6089/6850/5728 6096/6851/5729 6088/6842/5721 -f 6082/6843/5722 6090/6852/5730 6089/6853/5728 6081/6844/5720 -f 6083/6845/5723 6091/6854/5731 6090/6852/5730 6082/6843/5722 -f 6084/6846/5724 6092/6855/5732 6091/6854/5731 6083/6845/5723 -f 6085/6847/5725 6093/6856/5733 6092/6855/5732 6084/6846/5724 -f 6086/6848/5726 6094/6857/5734 6093/6856/5733 6085/6847/5725 -f 6087/6849/5727 6095/6858/5735 6094/6857/5734 6086/6848/5726 -f 6088/6842/5721 6096/6851/5729 6095/6858/5735 6087/6849/5727 -f 6089/6850/5728 6097/6859/5736 6104/6860/5737 6096/6851/5729 -f 6090/6852/5730 6098/6861/5738 6097/6862/5736 6089/6853/5728 -f 6091/6854/5731 6099/6863/5739 6098/6861/5738 6090/6852/5730 -f 6092/6855/5732 6100/6864/5740 6099/6863/5739 6091/6854/5731 -f 6093/6856/5733 6101/6865/5741 6100/6864/5740 6092/6855/5732 -f 6094/6857/5734 6102/6866/5742 6101/6865/5741 6093/6856/5733 -f 6095/6858/5735 6103/6867/5743 6102/6866/5742 6094/6857/5734 -f 6096/6851/5729 6104/6860/5737 6103/6867/5743 6095/6858/5735 -f 6097/6859/5736 6105/6868/5744 6112/6869/5745 6104/6860/5737 -f 6098/6861/5738 6106/6870/5746 6105/6871/5744 6097/6862/5736 -f 6099/6863/5739 6107/6872/5747 6106/6870/5746 6098/6861/5738 -f 6100/6864/5740 6108/6873/5748 6107/6872/5747 6099/6863/5739 -f 6101/6865/5741 6109/6874/5749 6108/6873/5748 6100/6864/5740 -f 6102/6866/5742 6110/6875/5750 6109/6874/5749 6101/6865/5741 -f 6103/6867/5743 6111/6876/5751 6110/6875/5750 6102/6866/5742 -f 6104/6860/5737 6112/6869/5745 6111/6876/5751 6103/6867/5743 -f 6105/6868/5744 6113/6877/5752 6120/6878/5753 6112/6869/5745 -f 6106/6870/5746 6114/6879/5754 6113/6880/5752 6105/6871/5744 -f 6107/6872/5747 6115/6881/5755 6114/6879/5754 6106/6870/5746 -f 6108/6873/5748 6116/6882/5756 6115/6881/5755 6107/6872/5747 -f 6109/6874/5749 6117/6883/5757 6116/6882/5756 6108/6873/5748 -f 6110/6875/5750 6118/6884/5758 6117/6883/5757 6109/6874/5749 -f 6111/6876/5751 6119/6885/5759 6118/6884/5758 6110/6875/5750 -f 6112/6869/5745 6120/6878/5753 6119/6885/5759 6111/6876/5751 -f 6113/6877/5752 6121/6886/5736 6128/6887/5737 6120/6878/5753 -f 6114/6879/5754 6122/6888/5738 6121/6889/5736 6113/6880/5752 -f 6115/6881/5755 6123/6890/5739 6122/6888/5738 6114/6879/5754 -f 6116/6882/5756 6124/6891/5740 6123/6890/5739 6115/6881/5755 -f 6117/6883/5757 6125/6892/5760 6124/6891/5740 6116/6882/5756 -f 6118/6884/5758 6126/6893/5742 6125/6892/5760 6117/6883/5757 -f 6119/6885/5759 6127/6894/5743 6126/6893/5742 6118/6884/5758 -f 6120/6878/5753 6128/6887/5737 6127/6894/5743 6119/6885/5759 -f 6121/6886/5736 6129/6895/5744 6136/6896/5745 6128/6887/5737 -f 6122/6888/5738 6130/6897/5746 6129/6898/5744 6121/6889/5736 -f 6123/6890/5739 6131/6899/5761 6130/6897/5746 6122/6888/5738 -f 6124/6891/5740 6132/6900/5748 6131/6899/5761 6123/6890/5739 -f 6125/6892/5760 6133/6901/5749 6132/6900/5748 6124/6891/5740 -f 6126/6893/5742 6134/6902/5750 6133/6901/5749 6125/6892/5760 -f 6127/6894/5743 6135/6903/5751 6134/6902/5750 6126/6893/5742 -f 6128/6887/5737 6136/6896/5745 6135/6903/5751 6127/6894/5743 -f 6129/6895/5744 6137/6904/5752 6144/6905/5762 6136/6896/5745 -f 6130/6897/5746 6138/6906/5763 6137/6907/5752 6129/6898/5744 -f 6131/6899/5761 6139/6908/5755 6138/6906/5763 6130/6897/5746 -f 6132/6900/5748 6140/6909/5756 6139/6908/5755 6131/6899/5761 -f 6133/6901/5749 6141/6910/5757 6140/6909/5756 6132/6900/5748 -f 6134/6902/5750 6142/6911/5758 6141/6910/5757 6133/6901/5749 -f 6135/6903/5751 6143/6912/5759 6142/6911/5758 6134/6902/5750 -f 6136/6896/5745 6144/6905/5762 6143/6912/5759 6135/6903/5751 -f 6145/6913/5764 6153/6914/5764 6160/6915/5765 6152/6916/5765 -f 6146/6917/5766 6154/6918/5767 6153/6919/5764 6145/6920/5764 -f 6147/6921/5768 6155/6922/5768 6154/6918/5767 6146/6917/5766 -f 6148/6923/5769 6156/6924/5769 6155/6922/5768 6147/6921/5768 -f 6149/6925/5770 6157/6926/5770 6156/6924/5769 6148/6923/5769 -f 6150/6927/5771 6158/6928/5771 6157/6926/5770 6149/6925/5770 -f 6151/6929/5772 6159/6930/5772 6158/6928/5771 6150/6927/5771 -f 6152/6916/5765 6160/6915/5765 6159/6930/5772 6151/6929/5772 -f 6153/6914/5764 6161/6931/5773 6168/6932/5774 6160/6915/5765 -f 6154/6918/5767 6162/6933/5775 6161/6934/5773 6153/6919/5764 -f 6155/6922/5768 6163/6935/5776 6162/6933/5775 6154/6918/5767 -f 6156/6924/5769 6164/6936/5777 6163/6935/5776 6155/6922/5768 -f 6157/6926/5770 6165/6937/5778 6164/6936/5777 6156/6924/5769 -f 6158/6928/5771 6166/6938/5779 6165/6937/5778 6157/6926/5770 -f 6159/6930/5772 6167/6939/5780 6166/6938/5779 6158/6928/5771 -f 6160/6915/5765 6168/6932/5774 6167/6939/5780 6159/6930/5772 -f 6161/6931/5773 6169/6940/5781 6176/6941/5782 6168/6932/5774 -f 6162/6933/5775 6170/6942/5783 6169/6943/5781 6161/6934/5773 -f 6163/6935/5776 6171/6944/5784 6170/6942/5783 6162/6933/5775 -f 6164/6936/5777 6172/6945/5785 6171/6944/5784 6163/6935/5776 -f 6165/6937/5778 6173/6946/5786 6172/6945/5785 6164/6936/5777 -f 6166/6938/5779 6174/6947/5787 6173/6946/5786 6165/6937/5778 -f 6167/6939/5780 6175/6948/5788 6174/6947/5787 6166/6938/5779 -f 6168/6932/5774 6176/6941/5782 6175/6948/5788 6167/6939/5780 -f 6169/6940/5781 6177/6949/5789 6184/6950/5790 6176/6941/5782 -f 6170/6942/5783 6178/6951/5791 6177/6952/5789 6169/6943/5781 -f 6171/6944/5784 6179/6953/5792 6178/6951/5791 6170/6942/5783 -f 6172/6945/5785 6180/6954/5793 6179/6953/5792 6171/6944/5784 -f 6173/6946/5786 6181/6955/5794 6180/6954/5793 6172/6945/5785 -f 6174/6947/5787 6182/6956/5795 6181/6955/5794 6173/6946/5786 -f 6175/6948/5788 6183/6957/5796 6182/6956/5795 6174/6947/5787 -f 6176/6941/5782 6184/6950/5790 6183/6957/5796 6175/6948/5788 -f 6177/6949/5789 6185/6958/5797 6192/6959/5798 6184/6950/5790 -f 6178/6951/5791 6186/6960/5799 6185/6961/5797 6177/6952/5789 -f 6179/6953/5792 6187/6962/5800 6186/6960/5799 6178/6951/5791 -f 6180/6954/5793 6188/6963/5801 6187/6962/5800 6179/6953/5792 -f 6181/6955/5794 6189/6964/5802 6188/6963/5801 6180/6954/5793 -f 6182/6956/5795 6190/6965/5803 6189/6964/5802 6181/6955/5794 -f 6183/6957/5796 6191/6966/5804 6190/6965/5803 6182/6956/5795 -f 6184/6950/5790 6192/6959/5798 6191/6966/5804 6183/6957/5796 -f 6185/6958/5797 6193/6967/5805 6200/6968/5806 6192/6959/5798 -f 6186/6960/5799 6194/6969/5807 6193/6970/5805 6185/6961/5797 -f 6187/6962/5800 6195/6971/5808 6194/6969/5807 6186/6960/5799 -f 6188/6963/5801 6196/6972/5809 6195/6971/5808 6187/6962/5800 -f 6189/6964/5802 6197/6973/5810 6196/6972/5809 6188/6963/5801 -f 6190/6965/5803 6198/6974/5811 6197/6973/5810 6189/6964/5802 -f 6191/6966/5804 6199/6975/5812 6198/6974/5811 6190/6965/5803 -f 6192/6959/5798 6200/6968/5806 6199/6975/5812 6191/6966/5804 -f 6193/6967/5805 6201/6976/5789 6208/6977/5790 6200/6968/5806 -f 6194/6969/5807 6202/6978/5791 6201/6979/5789 6193/6970/5805 -f 6195/6971/5808 6203/6980/5792 6202/6978/5791 6194/6969/5807 -f 6196/6972/5809 6204/6981/5813 6203/6980/5792 6195/6971/5808 -f 6197/6973/5810 6205/6982/5794 6204/6981/5813 6196/6972/5809 -f 6198/6974/5811 6206/6983/5814 6205/6982/5794 6197/6973/5810 -f 6199/6975/5812 6207/6984/5796 6206/6983/5814 6198/6974/5811 -f 6200/6968/5806 6208/6977/5790 6207/6984/5796 6199/6975/5812 -f 6201/6976/5789 6209/6985/5815 6216/6986/5816 6208/6977/5790 -f 6202/6978/5791 6210/6987/5817 6209/6988/5815 6201/6979/5789 -f 6203/6980/5792 6211/6989/5800 6210/6987/5817 6202/6978/5791 -f 6204/6981/5813 6212/6990/5801 6211/6989/5800 6203/6980/5792 -f 6205/6982/5794 6213/6991/5818 6212/6990/5801 6204/6981/5813 -f 6206/6983/5814 6214/6992/5819 6213/6991/5818 6205/6982/5794 -f 6207/6984/5796 6215/6993/5804 6214/6992/5819 6206/6983/5814 -f 6208/6977/5790 6216/6986/5816 6215/6993/5804 6207/6984/5796 -f 6209/6985/5815 6217/6994/5820 6224/6995/5821 6216/6986/5816 -f 6210/6987/5817 6218/6996/5822 6217/6997/5820 6209/6988/5815 -f 6211/6989/5800 6219/6998/5823 6218/6996/5822 6210/6987/5817 -f 6212/6990/5801 6220/6999/5809 6219/6998/5823 6211/6989/5800 -f 6213/6991/5818 6221/7000/5824 6220/6999/5809 6212/6990/5801 -f 6214/6992/5819 6222/7001/5825 6221/7000/5824 6213/6991/5818 -f 6215/6993/5804 6223/7002/5826 6222/7001/5825 6214/6992/5819 -f 6216/6986/5816 6224/6995/5821 6223/7002/5826 6215/6993/5804 -f 6225/7003/5827 6233/7004/5827 6240/7005/5828 6232/7006/5828 -f 6226/7007/5829 6234/7008/5829 6233/7009/5827 6225/7010/5827 -f 6227/7011/5830 6235/7012/5830 6234/7008/5829 6226/7007/5829 -f 6228/7013/5831 6236/7014/5831 6235/7012/5830 6227/7011/5830 -f 6229/7015/5832 6237/7016/5832 6236/7014/5831 6228/7013/5831 -f 6230/7017/5833 6238/7018/5833 6237/7016/5832 6229/7015/5832 -f 6231/7019/5834 6239/7020/5834 6238/7018/5833 6230/7017/5833 -f 6232/7006/5828 6240/7005/5828 6239/7020/5834 6231/7019/5834 -f 6233/7004/5827 6241/7021/5835 6248/7022/5836 6240/7005/5828 -f 6234/7008/5829 6242/7023/5837 6241/7024/5835 6233/7009/5827 -f 6235/7012/5830 6243/7025/5838 6242/7023/5837 6234/7008/5829 -f 6236/7014/5831 6244/7026/5839 6243/7025/5838 6235/7012/5830 -f 6237/7016/5832 6245/7027/5840 6244/7026/5839 6236/7014/5831 -f 6238/7018/5833 6246/7028/5841 6245/7027/5840 6237/7016/5832 -f 6239/7020/5834 6247/7029/5842 6246/7028/5841 6238/7018/5833 -f 6240/7005/5828 6248/7022/5836 6247/7029/5842 6239/7020/5834 -f 6241/7021/5835 6249/7030/5843 6256/7031/5844 6248/7022/5836 -f 6242/7023/5837 6250/7032/5845 6249/7033/5843 6241/7024/5835 -f 6243/7025/5838 6251/7034/5846 6250/7032/5845 6242/7023/5837 -f 6244/7026/5839 6252/7035/5847 6251/7034/5846 6243/7025/5838 -f 6245/7027/5840 6253/7036/5848 6252/7035/5847 6244/7026/5839 -f 6246/7028/5841 6254/7037/5849 6253/7036/5848 6245/7027/5840 -f 6247/7029/5842 6255/7038/5850 6254/7037/5849 6246/7028/5841 -f 6248/7022/5836 6256/7031/5844 6255/7038/5850 6247/7029/5842 -f 6249/7030/5843 6257/7039/5851 6264/7040/5852 6256/7031/5844 -f 6250/7032/5845 6258/7041/5853 6257/7042/5851 6249/7033/5843 -f 6251/7034/5846 6259/7043/5854 6258/7041/5853 6250/7032/5845 -f 6252/7035/5847 6260/7044/5855 6259/7043/5854 6251/7034/5846 -f 6253/7036/5848 6261/7045/5856 6260/7044/5855 6252/7035/5847 -f 6254/7037/5849 6262/7046/5857 6261/7045/5856 6253/7036/5848 -f 6255/7038/5850 6263/7047/5858 6262/7046/5857 6254/7037/5849 -f 6256/7031/5844 6264/7040/5852 6263/7047/5858 6255/7038/5850 -f 6257/7039/5851 6265/7048/5859 6272/7049/5860 6264/7040/5852 -f 6258/7041/5853 6266/7050/5861 6265/7051/5859 6257/7042/5851 -f 6259/7043/5854 6267/7052/5862 6266/7050/5861 6258/7041/5853 -f 6260/7044/5855 6268/7053/5863 6267/7052/5862 6259/7043/5854 -f 6261/7045/5856 6269/7054/5864 6268/7053/5863 6260/7044/5855 -f 6262/7046/5857 6270/7055/5865 6269/7054/5864 6261/7045/5856 -f 6263/7047/5858 6271/7056/5866 6270/7055/5865 6262/7046/5857 -f 6264/7040/5852 6272/7049/5860 6271/7056/5866 6263/7047/5858 -f 6265/7048/5859 6273/7057/5867 6280/7058/5868 6272/7049/5860 -f 6266/7050/5861 6274/7059/5869 6273/7060/5867 6265/7051/5859 -f 6267/7052/5862 6275/7061/5870 6274/7059/5869 6266/7050/5861 -f 6268/7053/5863 6276/7062/5871 6275/7061/5870 6267/7052/5862 -f 6269/7054/5864 6277/7063/5872 6276/7062/5871 6268/7053/5863 -f 6270/7055/5865 6278/7064/5873 6277/7063/5872 6269/7054/5864 -f 6271/7056/5866 6279/7065/5874 6278/7064/5873 6270/7055/5865 -f 6272/7049/5860 6280/7058/5868 6279/7065/5874 6271/7056/5866 -f 6273/7057/5867 6281/7066/5875 6288/7067/5852 6280/7058/5868 -f 6274/7059/5869 6282/7068/5876 6281/7069/5875 6273/7060/5867 -f 6275/7061/5870 6283/7070/5877 6282/7068/5876 6274/7059/5869 -f 6276/7062/5871 6284/7071/5855 6283/7070/5877 6275/7061/5870 -f 6277/7063/5872 6285/7072/5856 6284/7071/5855 6276/7062/5871 -f 6278/7064/5873 6286/7073/5857 6285/7072/5856 6277/7063/5872 -f 6279/7065/5874 6287/7074/5858 6286/7073/5857 6278/7064/5873 -f 6280/7058/5868 6288/7067/5852 6287/7074/5858 6279/7065/5874 -f 6281/7066/5875 6289/7075/5859 6296/7076/5878 6288/7067/5852 -f 6282/7068/5876 6290/7077/5861 6289/7078/5859 6281/7069/5875 -f 6283/7070/5877 6291/7079/5879 6290/7077/5861 6282/7068/5876 -f 6284/7071/5855 6292/7080/5863 6291/7079/5879 6283/7070/5877 -f 6285/7072/5856 6293/7081/5864 6292/7080/5863 6284/7071/5855 -f 6286/7073/5857 6294/7082/5865 6293/7081/5864 6285/7072/5856 -f 6287/7074/5858 6295/7083/5880 6294/7082/5865 6286/7073/5857 -f 6288/7067/5852 6296/7076/5878 6295/7083/5880 6287/7074/5858 -f 6289/7075/5859 6297/7084/5867 6304/7085/5881 6296/7076/5878 -f 6290/7077/5861 6298/7086/5882 6297/7087/5867 6289/7078/5859 -f 6291/7079/5879 6299/7088/5883 6298/7086/5882 6290/7077/5861 -f 6292/7080/5863 6300/7089/5884 6299/7088/5883 6291/7079/5879 -f 6293/7081/5864 6301/7090/5885 6300/7089/5884 6292/7080/5863 -f 6294/7082/5865 6302/7091/5886 6301/7090/5885 6293/7081/5864 -f 6295/7083/5880 6303/7092/5887 6302/7091/5886 6294/7082/5865 -f 6296/7076/5878 6304/7085/5881 6303/7092/5887 6295/7083/5880 -f 6305/7093/5888 6313/7094/5888 6320/7095/5889 6312/7096/5889 -f 6306/7097/5890 6314/7098/5890 6313/7099/5888 6305/7100/5888 -f 6307/7101/5891 6315/7102/5891 6314/7098/5890 6306/7097/5890 -f 6308/7103/5892 6316/7104/5892 6315/7102/5891 6307/7101/5891 -f 6309/7105/5893 6317/7106/5893 6316/7104/5892 6308/7103/5892 -f 6310/7107/5894 6318/7108/5894 6317/7106/5893 6309/7105/5893 -f 6311/7109/5895 6319/7110/5895 6318/7108/5894 6310/7107/5894 -f 6312/7096/5889 6320/7095/5889 6319/7110/5895 6311/7109/5895 -f 6313/7094/5888 6321/7111/5896 6328/7112/5897 6320/7095/5889 -f 6314/7098/5890 6322/7113/5898 6321/7114/5896 6313/7099/5888 -f 6315/7102/5891 6323/7115/5899 6322/7113/5898 6314/7098/5890 -f 6316/7104/5892 6324/7116/5900 6323/7115/5899 6315/7102/5891 -f 6317/7106/5893 6325/7117/5901 6324/7116/5900 6316/7104/5892 -f 6318/7108/5894 6326/7118/5902 6325/7117/5901 6317/7106/5893 -f 6319/7110/5895 6327/7119/5903 6326/7118/5902 6318/7108/5894 -f 6320/7095/5889 6328/7112/5897 6327/7119/5903 6319/7110/5895 -f 6321/7111/5896 6329/7120/5904 6336/7121/5905 6328/7112/5897 -f 6322/7113/5898 6330/7122/5906 6329/7123/5904 6321/7114/5896 -f 6323/7115/5899 6331/7124/5907 6330/7122/5906 6322/7113/5898 -f 6324/7116/5900 6332/7125/5908 6331/7124/5907 6323/7115/5899 -f 6325/7117/5901 6333/7126/5909 6332/7125/5908 6324/7116/5900 -f 6326/7118/5902 6334/7127/5910 6333/7126/5909 6325/7117/5901 -f 6327/7119/5903 6335/7128/5911 6334/7127/5910 6326/7118/5902 -f 6328/7112/5897 6336/7121/5905 6335/7128/5911 6327/7119/5903 -f 6329/7120/5904 6337/7129/5912 6344/7130/5913 6336/7121/5905 -f 6330/7122/5906 6338/7131/5914 6337/7132/5912 6329/7123/5904 -f 6331/7124/5907 6339/7133/5915 6338/7131/5914 6330/7122/5906 -f 6332/7125/5908 6340/7134/5916 6339/7133/5915 6331/7124/5907 -f 6333/7126/5909 6341/7135/5917 6340/7134/5916 6332/7125/5908 -f 6334/7127/5910 6342/7136/5918 6341/7135/5917 6333/7126/5909 -f 6335/7128/5911 6343/7137/5919 6342/7136/5918 6334/7127/5910 -f 6336/7121/5905 6344/7130/5913 6343/7137/5919 6335/7128/5911 -f 6337/7129/5912 6345/7138/5920 6352/7139/5921 6344/7130/5913 -f 6338/7131/5914 6346/7140/5922 6345/7141/5920 6337/7132/5912 -f 6339/7133/5915 6347/7142/5923 6346/7140/5922 6338/7131/5914 -f 6340/7134/5916 6348/7143/5924 6347/7142/5923 6339/7133/5915 -f 6341/7135/5917 6349/7144/5925 6348/7143/5924 6340/7134/5916 -f 6342/7136/5918 6350/7145/5926 6349/7144/5925 6341/7135/5917 -f 6343/7137/5919 6351/7146/5927 6350/7145/5926 6342/7136/5918 -f 6344/7130/5913 6352/7139/5921 6351/7146/5927 6343/7137/5919 -f 6345/7138/5920 6353/7147/5928 6360/7148/5929 6352/7139/5921 -f 6346/7140/5922 6354/7149/5930 6353/7150/5928 6345/7141/5920 -f 6347/7142/5923 6355/7151/5931 6354/7149/5930 6346/7140/5922 -f 6348/7143/5924 6356/7152/5932 6355/7151/5931 6347/7142/5923 -f 6349/7144/5925 6357/7153/5933 6356/7152/5932 6348/7143/5924 -f 6350/7145/5926 6358/7154/5934 6357/7153/5933 6349/7144/5925 -f 6351/7146/5927 6359/7155/5935 6358/7154/5934 6350/7145/5926 -f 6352/7139/5921 6360/7148/5929 6359/7155/5935 6351/7146/5927 -f 6353/7147/5928 6361/7156/5912 6368/7157/5936 6360/7148/5929 -f 6354/7149/5930 6362/7158/5914 6361/7159/5912 6353/7150/5928 -f 6355/7151/5931 6363/7160/5915 6362/7158/5914 6354/7149/5930 -f 6356/7152/5932 6364/7161/5916 6363/7160/5915 6355/7151/5931 -f 6357/7153/5933 6365/7162/5937 6364/7161/5916 6356/7152/5932 -f 6358/7154/5934 6366/7163/5918 6365/7162/5937 6357/7153/5933 -f 6359/7155/5935 6367/7164/5919 6366/7163/5918 6358/7154/5934 -f 6360/7148/5929 6368/7157/5936 6367/7164/5919 6359/7155/5935 -f 6361/7156/5912 6369/7165/5920 6376/7166/5921 6368/7157/5936 -f 6362/7158/5914 6370/7167/5938 6369/7168/5920 6361/7159/5912 -f 6363/7160/5915 6371/7169/5923 6370/7167/5938 6362/7158/5914 -f 6364/7161/5916 6372/7170/5939 6371/7169/5923 6363/7160/5915 -f 6365/7162/5937 6373/7171/5940 6372/7170/5939 6364/7161/5916 -f 6366/7163/5918 6374/7172/5941 6373/7171/5940 6365/7162/5937 -f 6367/7164/5919 6375/7173/5927 6374/7172/5941 6366/7163/5918 -f 6368/7157/5936 6376/7166/5921 6375/7173/5927 6367/7164/5919 -f 6369/7165/5920 6377/7174/5928 6384/7175/5929 6376/7166/5921 -f 6370/7167/5938 6378/7176/5930 6377/7177/5928 6369/7168/5920 -f 6371/7169/5923 6379/7178/5931 6378/7176/5930 6370/7167/5938 -f 6372/7170/5939 6380/7179/5942 6379/7178/5931 6371/7169/5923 -f 6373/7171/5940 6381/7180/5943 6380/7179/5942 6372/7170/5939 -f 6374/7172/5941 6382/7181/5934 6381/7180/5943 6373/7171/5940 -f 6375/7173/5927 6383/7182/5944 6382/7181/5934 6374/7172/5941 -f 6376/7166/5921 6384/7175/5929 6383/7182/5944 6375/7173/5927 -f 6385/7183/5945 6393/7184/5946 6400/7185/5947 6392/7186/5948 -f 6386/7187/5949 6394/7188/5950 6393/7189/5946 6385/7190/5945 -f 6387/7191/5951 6395/7192/5952 6394/7188/5950 6386/7187/5949 -f 6388/7193/5953 6396/7194/5953 6395/7192/5952 6387/7191/5951 -f 6389/7195/5954 6397/7196/5954 6396/7194/5953 6388/7193/5953 -f 6390/7197/5955 6398/7198/5956 6397/7196/5954 6389/7195/5954 -f 6391/7199/5957 6399/7200/5958 6398/7198/5956 6390/7197/5955 -f 6392/7186/5948 6400/7185/5947 6399/7200/5958 6391/7199/5957 -f 6393/7184/5946 6401/7201/5959 6408/7202/5960 6400/7185/5947 -f 6394/7188/5950 6402/7203/5961 6401/7204/5959 6393/7189/5946 -f 6395/7192/5952 6403/7205/5962 6402/7203/5961 6394/7188/5950 -f 6396/7194/5953 6404/7206/5963 6403/7205/5962 6395/7192/5952 -f 6397/7196/5954 6405/7207/5964 6404/7206/5963 6396/7194/5953 -f 6398/7198/5956 6406/7208/5965 6405/7207/5964 6397/7196/5954 -f 6399/7200/5958 6407/7209/5966 6406/7208/5965 6398/7198/5956 -f 6400/7185/5947 6408/7202/5960 6407/7209/5966 6399/7200/5958 -f 6401/7201/5959 6409/7210/5967 6416/7211/5968 6408/7202/5960 -f 6402/7203/5961 6410/7212/5969 6409/7213/5967 6401/7204/5959 -f 6403/7205/5962 6411/7214/5970 6410/7212/5969 6402/7203/5961 -f 6404/7206/5963 6412/7215/5971 6411/7214/5970 6403/7205/5962 -f 6405/7207/5964 6413/7216/5972 6412/7215/5971 6404/7206/5963 -f 6406/7208/5965 6414/7217/5973 6413/7216/5972 6405/7207/5964 -f 6407/7209/5966 6415/7218/5974 6414/7217/5973 6406/7208/5965 -f 6408/7202/5960 6416/7211/5968 6415/7218/5974 6407/7209/5966 -f 6409/7210/5967 6417/7219/5975 6424/7220/5976 6416/7211/5968 -f 6410/7212/5969 6418/7221/5977 6417/7222/5975 6409/7213/5967 -f 6411/7214/5970 6419/7223/5978 6418/7221/5977 6410/7212/5969 -f 6412/7215/5971 6420/7224/5979 6419/7223/5978 6411/7214/5970 -f 6413/7216/5972 6421/7225/5980 6420/7224/5979 6412/7215/5971 -f 6414/7217/5973 6422/7226/5981 6421/7225/5980 6413/7216/5972 -f 6415/7218/5974 6423/7227/5982 6422/7226/5981 6414/7217/5973 -f 6416/7211/5968 6424/7220/5976 6423/7227/5982 6415/7218/5974 -f 6417/7219/5975 6425/7228/5975 6432/7229/5983 6424/7220/5976 -f 6418/7221/5977 6426/7230/5977 6425/7231/5975 6417/7222/5975 -f 6419/7223/5978 6427/7232/5984 6426/7230/5977 6418/7221/5977 -f 6420/7224/5979 6428/7233/5985 6427/7232/5984 6419/7223/5978 -f 6421/7225/5980 6429/7234/5986 6428/7233/5985 6420/7224/5979 -f 6422/7226/5981 6430/7235/5981 6429/7234/5986 6421/7225/5980 -f 6423/7227/5982 6431/7236/5987 6430/7235/5981 6422/7226/5981 -f 6424/7220/5976 6432/7229/5983 6431/7236/5987 6423/7227/5982 -f 6425/7228/5975 6433/7237/5988 6440/7238/5989 6432/7229/5983 -f 6426/7230/5977 6434/7239/5990 6433/7240/5988 6425/7231/5975 -f 6427/7232/5984 6435/7241/5991 6434/7239/5990 6426/7230/5977 -f 6428/7233/5985 6436/7242/5992 6435/7241/5991 6427/7232/5984 -f 6429/7234/5986 6437/7243/5993 6436/7242/5992 6428/7233/5985 -f 6430/7235/5981 6438/7244/5994 6437/7243/5993 6429/7234/5986 -f 6431/7236/5987 6439/7245/5995 6438/7244/5994 6430/7235/5981 -f 6432/7229/5983 6440/7238/5989 6439/7245/5995 6431/7236/5987 -f 6433/7237/5988 6441/7246/5996 6448/7247/5948 6440/7238/5989 -f 6434/7239/5990 6442/7248/5977 6441/7249/5996 6433/7240/5988 -f 6435/7241/5991 6443/7250/5997 6442/7248/5977 6434/7239/5990 -f 6436/7242/5992 6444/7251/5998 6443/7250/5997 6435/7241/5991 -f 6437/7243/5993 6445/7252/5999 6444/7251/5998 6436/7242/5992 -f 6438/7244/5994 6446/7253/6000 6445/7252/5999 6437/7243/5993 -f 6439/7245/5995 6447/7254/6001 6446/7253/6000 6438/7244/5994 -f 6440/7238/5989 6448/7247/5948 6447/7254/6001 6439/7245/5995 -f 6441/7246/5996 6449/7255/5996 6456/7256/5948 6448/7247/5948 -f 6442/7248/5977 6450/7257/6002 6449/7258/5996 6441/7249/5996 -f 6443/7250/5997 6451/7259/6003 6450/7257/6002 6442/7248/5977 -f 6444/7251/5998 6452/7260/6004 6451/7259/6003 6443/7250/5997 -f 6445/7252/5999 6453/7261/6005 6452/7260/6004 6444/7251/5998 -f 6446/7253/6000 6454/7262/6006 6453/7261/6005 6445/7252/5999 -f 6447/7254/6001 6455/7263/6007 6454/7262/6006 6446/7253/6000 -f 6448/7247/5948 6456/7256/5948 6455/7263/6007 6447/7254/6001 -f 6449/7255/5996 6457/7264/6008 6464/7265/6009 6456/7256/5948 -f 6450/7257/6002 6458/7266/6010 6457/7267/6008 6449/7258/5996 -f 6451/7259/6003 6459/7268/6011 6458/7266/6010 6450/7257/6002 -f 6452/7260/6004 6460/7269/6012 6459/7268/6011 6451/7259/6003 -f 6453/7261/6005 6461/7270/6013 6460/7269/6012 6452/7260/6004 -f 6454/7262/6006 6462/7271/6014 6461/7270/6013 6453/7261/6005 -f 6455/7263/6007 6463/7272/6015 6462/7271/6014 6454/7262/6006 -f 6456/7256/5948 6464/7265/6009 6463/7272/6015 6455/7263/6007 -f 6465/7273/6016 6473/7274/6017 6480/7275/6018 6472/7276/6018 -f 6466/7277/6019 6474/7278/6019 6473/7279/6017 6465/7280/6016 -f 6467/7281/6020 6475/7282/6020 6474/7278/6019 6466/7277/6019 -f 6468/7283/6021 6476/7284/6022 6475/7282/6020 6467/7281/6020 -f 6469/7285/6023 6477/7286/6024 6476/7284/6022 6468/7283/6021 -f 6470/7287/6025 6478/7288/6025 6477/7286/6024 6469/7285/6023 -f 6471/7289/6026 6479/7290/6026 6478/7288/6025 6470/7287/6025 -f 6472/7276/6018 6480/7275/6018 6479/7290/6026 6471/7289/6026 -f 6473/7274/6017 6481/7291/6027 6488/7292/6028 6480/7275/6018 -f 6474/7278/6019 6482/7293/6029 6481/7294/6027 6473/7279/6017 -f 6475/7282/6020 6483/7295/6030 6482/7293/6029 6474/7278/6019 -f 6476/7284/6022 6484/7296/6031 6483/7295/6030 6475/7282/6020 -f 6477/7286/6024 6485/7297/6032 6484/7296/6031 6476/7284/6022 -f 6478/7288/6025 6486/7298/6033 6485/7297/6032 6477/7286/6024 -f 6479/7290/6026 6487/7299/6034 6486/7298/6033 6478/7288/6025 -f 6480/7275/6018 6488/7292/6028 6487/7299/6034 6479/7290/6026 -f 6481/7291/6027 6489/7300/6035 6496/7301/6036 6488/7292/6028 -f 6482/7293/6029 6490/7302/6037 6489/7303/6035 6481/7294/6027 -f 6483/7295/6030 6491/7304/6038 6490/7302/6037 6482/7293/6029 -f 6484/7296/6031 6492/7305/6039 6491/7304/6038 6483/7295/6030 -f 6485/7297/6032 6493/7306/6040 6492/7305/6039 6484/7296/6031 -f 6486/7298/6033 6494/7307/6041 6493/7306/6040 6485/7297/6032 -f 6487/7299/6034 6495/7308/6042 6494/7307/6041 6486/7298/6033 -f 6488/7292/6028 6496/7301/6036 6495/7308/6042 6487/7299/6034 -f 6489/7300/6035 6497/7309/6043 6504/7310/6044 6496/7301/6036 -f 6490/7302/6037 6498/7311/6045 6497/7312/6043 6489/7303/6035 -f 6491/7304/6038 6499/7313/6046 6498/7311/6045 6490/7302/6037 -f 6492/7305/6039 6500/7314/6047 6499/7313/6046 6491/7304/6038 -f 6493/7306/6040 6501/7315/6048 6500/7314/6047 6492/7305/6039 -f 6494/7307/6041 6502/7316/6049 6501/7315/6048 6493/7306/6040 -f 6495/7308/6042 6503/7317/6050 6502/7316/6049 6494/7307/6041 -f 6496/7301/6036 6504/7310/6044 6503/7317/6050 6495/7308/6042 -f 6497/7309/6043 6505/7318/6051 6512/7319/6052 6504/7310/6044 -f 6498/7311/6045 6506/7320/6053 6505/7321/6051 6497/7312/6043 -f 6499/7313/6046 6507/7322/6054 6506/7320/6053 6498/7311/6045 -f 6500/7314/6047 6508/7323/6055 6507/7322/6054 6499/7313/6046 -f 6501/7315/6048 6509/7324/6056 6508/7323/6055 6500/7314/6047 -f 6502/7316/6049 6510/7325/6057 6509/7324/6056 6501/7315/6048 -f 6503/7317/6050 6511/7326/6058 6510/7325/6057 6502/7316/6049 -f 6504/7310/6044 6512/7319/6052 6511/7326/6058 6503/7317/6050 -f 6505/7318/6051 6513/7327/6059 6520/7328/6060 6512/7319/6052 -f 6506/7320/6053 6514/7329/6061 6513/7330/6059 6505/7321/6051 -f 6507/7322/6054 6515/7331/6062 6514/7329/6061 6506/7320/6053 -f 6508/7323/6055 6516/7332/6063 6515/7331/6062 6507/7322/6054 -f 6509/7324/6056 6517/7333/6064 6516/7332/6063 6508/7323/6055 -f 6510/7325/6057 6518/7334/6065 6517/7333/6064 6509/7324/6056 -f 6511/7326/6058 6519/7335/6066 6518/7334/6065 6510/7325/6057 -f 6512/7319/6052 6520/7328/6060 6519/7335/6066 6511/7326/6058 -f 6513/7327/6059 6521/7336/6043 6528/7337/6044 6520/7328/6060 -f 6514/7329/6061 6522/7338/6067 6521/7339/6043 6513/7330/6059 -f 6515/7331/6062 6523/7340/6046 6522/7338/6067 6514/7329/6061 -f 6516/7332/6063 6524/7341/6047 6523/7340/6046 6515/7331/6062 -f 6517/7333/6064 6525/7342/6068 6524/7341/6047 6516/7332/6063 -f 6518/7334/6065 6526/7343/6049 6525/7342/6068 6517/7333/6064 -f 6519/7335/6066 6527/7344/6050 6526/7343/6049 6518/7334/6065 -f 6520/7328/6060 6528/7337/6044 6527/7344/6050 6519/7335/6066 -f 6521/7336/6043 6529/7345/6051 6536/7346/6052 6528/7337/6044 -f 6522/7338/6067 6530/7347/6069 6529/7348/6051 6521/7339/6043 -f 6523/7340/6046 6531/7349/6070 6530/7347/6069 6522/7338/6067 -f 6524/7341/6047 6532/7350/6055 6531/7349/6070 6523/7340/6046 -f 6525/7342/6068 6533/7351/6071 6532/7350/6055 6524/7341/6047 -f 6526/7343/6049 6534/7352/6072 6533/7351/6071 6525/7342/6068 -f 6527/7344/6050 6535/7353/6073 6534/7352/6072 6526/7343/6049 -f 6528/7337/6044 6536/7346/6052 6535/7353/6073 6527/7344/6050 -f 6529/7345/6051 6537/7354/6074 6544/7355/6060 6536/7346/6052 -f 6530/7347/6069 6538/7356/6075 6537/7357/6074 6529/7348/6051 -f 6531/7349/6070 6539/7358/6076 6538/7356/6075 6530/7347/6069 -f 6532/7350/6055 6540/7359/6077 6539/7358/6076 6531/7349/6070 -f 6533/7351/6071 6541/7360/6078 6540/7359/6077 6532/7350/6055 -f 6534/7352/6072 6542/7361/6065 6541/7360/6078 6533/7351/6071 -f 6535/7353/6073 6543/7362/6079 6542/7361/6065 6534/7352/6072 -f 6536/7346/6052 6544/7355/6060 6543/7362/6079 6535/7353/6073 -f 6545/7363/6080 6553/7364/6080 6560/7365/6081 6552/7366/6081 -f 6546/7367/6082 6554/7368/6082 6553/7369/6080 6545/7370/6080 -f 6547/7371/6083 6555/7372/6083 6554/7368/6082 6546/7367/6082 -f 6548/7373/6084 6556/7374/6084 6555/7372/6083 6547/7371/6083 -f 6549/7375/6085 6557/7376/6085 6556/7374/6084 6548/7373/6084 -f 6550/7377/6086 6558/7378/6086 6557/7376/6085 6549/7375/6085 -f 6551/7379/6087 6559/7380/6087 6558/7378/6086 6550/7377/6086 -f 6552/7366/6081 6560/7365/6081 6559/7380/6087 6551/7379/6087 -f 6553/7364/6080 6561/7381/6088 6568/7382/6089 6560/7365/6081 -f 6554/7368/6082 6562/7383/6090 6561/7384/6088 6553/7369/6080 -f 6555/7372/6083 6563/7385/6091 6562/7383/6090 6554/7368/6082 -f 6556/7374/6084 6564/7386/6092 6563/7385/6091 6555/7372/6083 -f 6557/7376/6085 6565/7387/6093 6564/7386/6092 6556/7374/6084 -f 6558/7378/6086 6566/7388/6094 6565/7387/6093 6557/7376/6085 -f 6559/7380/6087 6567/7389/6095 6566/7388/6094 6558/7378/6086 -f 6560/7365/6081 6568/7382/6089 6567/7389/6095 6559/7380/6087 -f 6561/7381/6088 6569/7390/6096 6576/7391/6097 6568/7382/6089 -f 6562/7383/6090 6570/7392/6098 6569/7393/6096 6561/7384/6088 -f 6563/7385/6091 6571/7394/6099 6570/7392/6098 6562/7383/6090 -f 6564/7386/6092 6572/7395/6100 6571/7394/6099 6563/7385/6091 -f 6565/7387/6093 6573/7396/6101 6572/7395/6100 6564/7386/6092 -f 6566/7388/6094 6574/7397/6102 6573/7396/6101 6565/7387/6093 -f 6567/7389/6095 6575/7398/6103 6574/7397/6102 6566/7388/6094 -f 6568/7382/6089 6576/7391/6097 6575/7398/6103 6567/7389/6095 -f 6569/7390/6096 6577/7399/6104 6584/7400/6105 6576/7391/6097 -f 6570/7392/6098 6578/7401/6106 6577/7402/6104 6569/7393/6096 -f 6571/7394/6099 6579/7403/6107 6578/7401/6106 6570/7392/6098 -f 6572/7395/6100 6580/7404/6108 6579/7403/6107 6571/7394/6099 -f 6573/7396/6101 6581/7405/6109 6580/7404/6108 6572/7395/6100 -f 6574/7397/6102 6582/7406/6110 6581/7405/6109 6573/7396/6101 -f 6575/7398/6103 6583/7407/6111 6582/7406/6110 6574/7397/6102 -f 6576/7391/6097 6584/7400/6105 6583/7407/6111 6575/7398/6103 -f 6577/7399/6104 6585/7408/6112 6592/7409/6113 6584/7400/6105 -f 6578/7401/6106 6586/7410/6114 6585/7411/6112 6577/7402/6104 -f 6579/7403/6107 6587/7412/6115 6586/7410/6114 6578/7401/6106 -f 6580/7404/6108 6588/7413/6116 6587/7412/6115 6579/7403/6107 -f 6581/7405/6109 6589/7414/6117 6588/7413/6116 6580/7404/6108 -f 6582/7406/6110 6590/7415/6118 6589/7414/6117 6581/7405/6109 -f 6583/7407/6111 6591/7416/6119 6590/7415/6118 6582/7406/6110 -f 6584/7400/6105 6592/7409/6113 6591/7416/6119 6583/7407/6111 -f 6585/7408/6112 6593/7417/6120 6600/7418/6121 6592/7409/6113 -f 6586/7410/6114 6594/7419/6122 6593/7420/6120 6585/7411/6112 -f 6587/7412/6115 6595/7421/6123 6594/7419/6122 6586/7410/6114 -f 6588/7413/6116 6596/7422/6124 6595/7421/6123 6587/7412/6115 -f 6589/7414/6117 6597/7423/6125 6596/7422/6124 6588/7413/6116 -f 6590/7415/6118 6598/7424/6126 6597/7423/6125 6589/7414/6117 -f 6591/7416/6119 6599/7425/6127 6598/7424/6126 6590/7415/6118 -f 6592/7409/6113 6600/7418/6121 6599/7425/6127 6591/7416/6119 -f 6593/7417/6120 6601/7426/6104 6608/7427/6105 6600/7418/6121 -f 6594/7419/6122 6602/7428/6106 6601/7429/6104 6593/7420/6120 -f 6595/7421/6123 6603/7430/6107 6602/7428/6106 6594/7419/6122 -f 6596/7422/6124 6604/7431/6108 6603/7430/6107 6595/7421/6123 -f 6597/7423/6125 6605/7432/6109 6604/7431/6108 6596/7422/6124 -f 6598/7424/6126 6606/7433/6128 6605/7432/6109 6597/7423/6125 -f 6599/7425/6127 6607/7434/6111 6606/7433/6128 6598/7424/6126 -f 6600/7418/6121 6608/7427/6105 6607/7434/6111 6599/7425/6127 -f 6601/7426/6104 6609/7435/6112 6616/7436/6129 6608/7427/6105 -f 6602/7428/6106 6610/7437/6114 6609/7438/6112 6601/7429/6104 -f 6603/7430/6107 6611/7439/6130 6610/7437/6114 6602/7428/6106 -f 6604/7431/6108 6612/7440/6131 6611/7439/6130 6603/7430/6107 -f 6605/7432/6109 6613/7441/6132 6612/7440/6131 6604/7431/6108 -f 6606/7433/6128 6614/7442/6133 6613/7441/6132 6605/7432/6109 -f 6607/7434/6111 6615/7443/6134 6614/7442/6133 6606/7433/6128 -f 6608/7427/6105 6616/7436/6129 6615/7443/6134 6607/7434/6111 -f 6609/7435/6112 6617/7444/6135 6624/7445/6136 6616/7436/6129 -f 6610/7437/6114 6618/7446/6137 6617/7447/6135 6609/7438/6112 -f 6611/7439/6130 6619/7448/6123 6618/7446/6137 6610/7437/6114 -f 6612/7440/6131 6620/7449/6124 6619/7448/6123 6611/7439/6130 -f 6613/7441/6132 6621/7450/6138 6620/7449/6124 6612/7440/6131 -f 6614/7442/6133 6622/7451/6126 6621/7450/6138 6613/7441/6132 -f 6615/7443/6134 6623/7452/6139 6622/7451/6126 6614/7442/6133 -f 6616/7436/6129 6624/7445/6136 6623/7452/6139 6615/7443/6134 -f 6625/7453/6140 6633/7454/6140 6640/7455/6141 6632/7456/6142 -f 6626/7457/6143 6634/7458/6143 6633/7459/6140 6625/7460/6140 -f 6627/7461/6144 6635/7462/6144 6634/7458/6143 6626/7457/6143 -f 6628/7463/6145 6636/7464/6146 6635/7462/6144 6627/7461/6144 -f 6629/7465/6147 6637/7466/6147 6636/7464/6146 6628/7463/6145 -f 6630/7467/6148 6638/7468/6148 6637/7466/6147 6629/7465/6147 -f 6631/7469/6149 6639/7470/6149 6638/7468/6148 6630/7467/6148 -f 6632/7456/6142 6640/7455/6141 6639/7470/6149 6631/7469/6149 -f 6633/7454/6140 6641/7471/6150 6648/7472/6151 6640/7455/6141 -f 6634/7458/6143 6642/7473/6152 6641/7474/6150 6633/7459/6140 -f 6635/7462/6144 6643/7475/6153 6642/7473/6152 6634/7458/6143 -f 6636/7464/6146 6644/7476/6154 6643/7475/6153 6635/7462/6144 -f 6637/7466/6147 6645/7477/6155 6644/7476/6154 6636/7464/6146 -f 6638/7468/6148 6646/7478/6156 6645/7477/6155 6637/7466/6147 -f 6639/7470/6149 6647/7479/6157 6646/7478/6156 6638/7468/6148 -f 6640/7455/6141 6648/7472/6151 6647/7479/6157 6639/7470/6149 -f 6641/7471/6150 6649/7480/6158 6656/7481/6159 6648/7472/6151 -f 6642/7473/6152 6650/7482/6160 6649/7483/6158 6641/7474/6150 -f 6643/7475/6153 6651/7484/6161 6650/7482/6160 6642/7473/6152 -f 6644/7476/6154 6652/7485/6162 6651/7484/6161 6643/7475/6153 -f 6645/7477/6155 6653/7486/6163 6652/7485/6162 6644/7476/6154 -f 6646/7478/6156 6654/7487/6164 6653/7486/6163 6645/7477/6155 -f 6647/7479/6157 6655/7488/6165 6654/7487/6164 6646/7478/6156 -f 6648/7472/6151 6656/7481/6159 6655/7488/6165 6647/7479/6157 -f 6649/7480/6158 6657/7489/6166 6664/7490/6167 6656/7481/6159 -f 6650/7482/6160 6658/7491/6168 6657/7492/6166 6649/7483/6158 -f 6651/7484/6161 6659/7493/6169 6658/7491/6168 6650/7482/6160 -f 6652/7485/6162 6660/7494/6170 6659/7493/6169 6651/7484/6161 -f 6653/7486/6163 6661/7495/6171 6660/7494/6170 6652/7485/6162 -f 6654/7487/6164 6662/7496/6172 6661/7495/6171 6653/7486/6163 -f 6655/7488/6165 6663/7497/6173 6662/7496/6172 6654/7487/6164 -f 6656/7481/6159 6664/7490/6167 6663/7497/6173 6655/7488/6165 -f 6657/7489/6166 6665/7498/6174 6672/7499/6175 6664/7490/6167 -f 6658/7491/6168 6666/7500/6176 6665/7501/6174 6657/7492/6166 -f 6659/7493/6169 6667/7502/6177 6666/7500/6176 6658/7491/6168 -f 6660/7494/6170 6668/7503/6178 6667/7502/6177 6659/7493/6169 -f 6661/7495/6171 6669/7504/6179 6668/7503/6178 6660/7494/6170 -f 6662/7496/6172 6670/7505/6180 6669/7504/6179 6661/7495/6171 -f 6663/7497/6173 6671/7506/6181 6670/7505/6180 6662/7496/6172 -f 6664/7490/6167 6672/7499/6175 6671/7506/6181 6663/7497/6173 -f 6665/7498/6174 6673/7507/6182 6680/7508/6183 6672/7499/6175 -f 6666/7500/6176 6674/7509/6184 6673/7510/6182 6665/7501/6174 -f 6667/7502/6177 6675/7511/6185 6674/7509/6184 6666/7500/6176 -f 6668/7503/6178 6676/7512/6186 6675/7511/6185 6667/7502/6177 -f 6669/7504/6179 6677/7513/6187 6676/7512/6186 6668/7503/6178 -f 6670/7505/6180 6678/7514/6188 6677/7513/6187 6669/7504/6179 -f 6671/7506/6181 6679/7515/6189 6678/7514/6188 6670/7505/6180 -f 6672/7499/6175 6680/7508/6183 6679/7515/6189 6671/7506/6181 -f 6673/7507/6182 6681/7516/6190 6688/7517/6191 6680/7508/6183 -f 6674/7509/6184 6682/7518/6168 6681/7519/6190 6673/7510/6182 -f 6675/7511/6185 6683/7520/6169 6682/7518/6168 6674/7509/6184 -f 6676/7512/6186 6684/7521/6192 6683/7520/6169 6675/7511/6185 -f 6677/7513/6187 6685/7522/6171 6684/7521/6192 6676/7512/6186 -f 6678/7514/6188 6686/7523/6172 6685/7522/6171 6677/7513/6187 -f 6679/7515/6189 6687/7524/6193 6686/7523/6172 6678/7514/6188 -f 6680/7508/6183 6688/7517/6191 6687/7524/6193 6679/7515/6189 -f 6681/7516/6190 6689/7525/6174 6696/7526/6175 6688/7517/6191 -f 6682/7518/6168 6690/7527/6176 6689/7528/6174 6681/7519/6190 -f 6683/7520/6169 6691/7529/6177 6690/7527/6176 6682/7518/6168 -f 6684/7521/6192 6692/7530/6178 6691/7529/6177 6683/7520/6169 -f 6685/7522/6171 6693/7531/6194 6692/7530/6178 6684/7521/6192 -f 6686/7523/6172 6694/7532/6195 6693/7531/6194 6685/7522/6171 -f 6687/7524/6193 6695/7533/6181 6694/7532/6195 6686/7523/6172 -f 6688/7517/6191 6696/7526/6175 6695/7533/6181 6687/7524/6193 -f 6689/7525/6174 6697/7534/6196 6704/7535/6197 6696/7526/6175 -f 6690/7527/6176 6698/7536/6198 6697/7537/6196 6689/7528/6174 -f 6691/7529/6177 6699/7538/6199 6698/7536/6198 6690/7527/6176 -f 6692/7530/6178 6700/7539/6200 6699/7538/6199 6691/7529/6177 -f 6693/7531/6194 6701/7540/6187 6700/7539/6200 6692/7530/6178 -f 6694/7532/6195 6702/7541/6188 6701/7540/6187 6693/7531/6194 -f 6695/7533/6181 6703/7542/6189 6702/7541/6188 6694/7532/6195 -f 6696/7526/6175 6704/7535/6197 6703/7542/6189 6695/7533/6181 -f 6705/7543/6201 6713/7544/6201 6720/7545/6202 6712/7546/6202 -f 6706/7547/6203 6714/7548/6203 6713/7549/6201 6705/7550/6201 -f 6707/7551/6204 6715/7552/6204 6714/7548/6203 6706/7547/6203 -f 6708/7553/6205 6716/7554/6205 6715/7552/6204 6707/7551/6204 -f 6709/7555/6206 6717/7556/6206 6716/7554/6205 6708/7553/6205 -f 6710/7557/6207 6718/7558/6207 6717/7556/6206 6709/7555/6206 -f 6711/7559/6208 6719/7560/6208 6718/7558/6207 6710/7557/6207 -f 6712/7546/6202 6720/7545/6202 6719/7560/6208 6711/7559/6208 -f 6713/7544/6201 6721/7561/6209 6728/7562/6210 6720/7545/6202 -f 6714/7548/6203 6722/7563/6211 6721/7564/6209 6713/7549/6201 -f 6715/7552/6204 6723/7565/6212 6722/7563/6211 6714/7548/6203 -f 6716/7554/6205 6724/7566/6213 6723/7565/6212 6715/7552/6204 -f 6717/7556/6206 6725/7567/6214 6724/7566/6213 6716/7554/6205 -f 6718/7558/6207 6726/7568/6215 6725/7567/6214 6717/7556/6206 -f 6719/7560/6208 6727/7569/6216 6726/7568/6215 6718/7558/6207 -f 6720/7545/6202 6728/7562/6210 6727/7569/6216 6719/7560/6208 -f 6721/7561/6209 6729/7570/6217 6736/7571/6218 6728/7562/6210 -f 6722/7563/6211 6730/7572/6219 6729/7573/6217 6721/7564/6209 -f 6723/7565/6212 6731/7574/6220 6730/7572/6219 6722/7563/6211 -f 6724/7566/6213 6732/7575/6221 6731/7574/6220 6723/7565/6212 -f 6725/7567/6214 6733/7576/6222 6732/7575/6221 6724/7566/6213 -f 6726/7568/6215 6734/7577/6223 6733/7576/6222 6725/7567/6214 -f 6727/7569/6216 6735/7578/6224 6734/7577/6223 6726/7568/6215 -f 6728/7562/6210 6736/7571/6218 6735/7578/6224 6727/7569/6216 -f 6729/7570/6217 6737/7579/6225 6744/7580/6226 6736/7571/6218 -f 6730/7572/6219 6738/7581/6227 6737/7582/6225 6729/7573/6217 -f 6731/7574/6220 6739/7583/6228 6738/7581/6227 6730/7572/6219 -f 6732/7575/6221 6740/7584/6229 6739/7583/6228 6731/7574/6220 -f 6733/7576/6222 6741/7585/6230 6740/7584/6229 6732/7575/6221 -f 6734/7577/6223 6742/7586/6231 6741/7585/6230 6733/7576/6222 -f 6735/7578/6224 6743/7587/6232 6742/7586/6231 6734/7577/6223 -f 6736/7571/6218 6744/7580/6226 6743/7587/6232 6735/7578/6224 -f 6737/7579/6225 6745/7588/6233 6752/7589/6234 6744/7580/6226 -f 6738/7581/6227 6746/7590/6235 6745/7591/6233 6737/7582/6225 -f 6739/7583/6228 6747/7592/6236 6746/7590/6235 6738/7581/6227 -f 6740/7584/6229 6748/7593/6237 6747/7592/6236 6739/7583/6228 -f 6741/7585/6230 6749/7594/6238 6748/7593/6237 6740/7584/6229 -f 6742/7586/6231 6750/7595/6239 6749/7594/6238 6741/7585/6230 -f 6743/7587/6232 6751/7596/6240 6750/7595/6239 6742/7586/6231 -f 6744/7580/6226 6752/7589/6234 6751/7596/6240 6743/7587/6232 -f 6745/7588/6233 6753/7597/6241 6760/7598/6242 6752/7589/6234 -f 6746/7590/6235 6754/7599/6243 6753/7600/6241 6745/7591/6233 -f 6747/7592/6236 6755/7601/6244 6754/7599/6243 6746/7590/6235 -f 6748/7593/6237 6756/7602/6245 6755/7601/6244 6747/7592/6236 -f 6749/7594/6238 6757/7603/6246 6756/7602/6245 6748/7593/6237 -f 6750/7595/6239 6758/7604/6247 6757/7603/6246 6749/7594/6238 -f 6751/7596/6240 6759/7605/6248 6758/7604/6247 6750/7595/6239 -f 6752/7589/6234 6760/7598/6242 6759/7605/6248 6751/7596/6240 -f 6753/7597/6241 6761/7606/6225 6768/7607/6249 6760/7598/6242 -f 6754/7599/6243 6762/7608/6227 6761/7609/6225 6753/7600/6241 -f 6755/7601/6244 6763/7610/6228 6762/7608/6227 6754/7599/6243 -f 6756/7602/6245 6764/7611/6229 6763/7610/6228 6755/7601/6244 -f 6757/7603/6246 6765/7612/6230 6764/7611/6229 6756/7602/6245 -f 6758/7604/6247 6766/7613/6231 6765/7612/6230 6757/7603/6246 -f 6759/7605/6248 6767/7614/6232 6766/7613/6231 6758/7604/6247 -f 6760/7598/6242 6768/7607/6249 6767/7614/6232 6759/7605/6248 -f 6761/7606/6225 6769/7615/6233 6776/7616/6234 6768/7607/6249 -f 6762/7608/6227 6770/7617/6235 6769/7618/6233 6761/7609/6225 -f 6763/7610/6228 6771/7619/6250 6770/7617/6235 6762/7608/6227 -f 6764/7611/6229 6772/7620/6237 6771/7619/6250 6763/7610/6228 -f 6765/7612/6230 6773/7621/6238 6772/7620/6237 6764/7611/6229 -f 6766/7613/6231 6774/7622/6239 6773/7621/6238 6765/7612/6230 -f 6767/7614/6232 6775/7623/6251 6774/7622/6239 6766/7613/6231 -f 6768/7607/6249 6776/7616/6234 6775/7623/6251 6767/7614/6232 -f 6769/7615/6233 6777/7624/6252 6784/7625/6242 6776/7616/6234 -f 6770/7617/6235 6778/7626/6243 6777/7627/6252 6769/7618/6233 -f 6771/7619/6250 6779/7628/6244 6778/7626/6243 6770/7617/6235 -f 6772/7620/6237 6780/7629/6253 6779/7628/6244 6771/7619/6250 -f 6773/7621/6238 6781/7630/6254 6780/7629/6253 6772/7620/6237 -f 6774/7622/6239 6782/7631/6247 6781/7630/6254 6773/7621/6238 -f 6775/7623/6251 6783/7632/6255 6782/7631/6247 6774/7622/6239 -f 6776/7616/6234 6784/7625/6242 6783/7632/6255 6775/7623/6251 -f 6785/7633/6256 6793/7634/6256 6800/7635/6257 6792/7636/6257 -f 6786/7637/6258 6794/7638/6258 6793/7639/6256 6785/7640/6256 -f 6787/7641/6259 6795/7642/6260 6794/7638/6258 6786/7637/6258 -f 6788/7643/6261 6796/7644/6262 6795/7642/6260 6787/7641/6259 -f 6789/7645/6263 6797/7646/6263 6796/7644/6262 6788/7643/6261 -f 6790/7647/6264 6798/7648/6264 6797/7646/6263 6789/7645/6263 -f 6791/7649/6265 6799/7650/6265 6798/7648/6264 6790/7647/6264 -f 6792/7636/6257 6800/7635/6257 6799/7650/6265 6791/7649/6265 -f 6793/7634/6256 6801/7651/6266 6808/7652/6267 6800/7635/6257 -f 6794/7638/6258 6802/7653/6268 6801/7654/6266 6793/7639/6256 -f 6795/7642/6260 6803/7655/6269 6802/7653/6268 6794/7638/6258 -f 6796/7644/6262 6804/7656/6270 6803/7655/6269 6795/7642/6260 -f 6797/7646/6263 6805/7657/6271 6804/7656/6270 6796/7644/6262 -f 6798/7648/6264 6806/7658/6272 6805/7657/6271 6797/7646/6263 -f 6799/7650/6265 6807/7659/6273 6806/7658/6272 6798/7648/6264 -f 6800/7635/6257 6808/7652/6267 6807/7659/6273 6799/7650/6265 -f 6801/7651/6266 6809/7660/6274 6816/7661/6275 6808/7652/6267 -f 6802/7653/6268 6810/7662/6276 6809/7663/6274 6801/7654/6266 -f 6803/7655/6269 6811/7664/6277 6810/7662/6276 6802/7653/6268 -f 6804/7656/6270 6812/7665/6278 6811/7664/6277 6803/7655/6269 -f 6805/7657/6271 6813/7666/6279 6812/7665/6278 6804/7656/6270 -f 6806/7658/6272 6814/7667/6280 6813/7666/6279 6805/7657/6271 -f 6807/7659/6273 6815/7668/6281 6814/7667/6280 6806/7658/6272 -f 6808/7652/6267 6816/7661/6275 6815/7668/6281 6807/7659/6273 -f 6809/7660/6274 6817/7669/6282 6824/7670/6283 6816/7661/6275 -f 6810/7662/6276 6818/7671/6284 6817/7672/6282 6809/7663/6274 -f 6811/7664/6277 6819/7673/6285 6818/7671/6284 6810/7662/6276 -f 6812/7665/6278 6820/7674/6286 6819/7673/6285 6811/7664/6277 -f 6813/7666/6279 6821/7675/6287 6820/7674/6286 6812/7665/6278 -f 6814/7667/6280 6822/7676/6288 6821/7675/6287 6813/7666/6279 -f 6815/7668/6281 6823/7677/6289 6822/7676/6288 6814/7667/6280 -f 6816/7661/6275 6824/7670/6283 6823/7677/6289 6815/7668/6281 -f 6817/7669/6282 6825/7678/6290 6832/7679/6291 6824/7670/6283 -f 6818/7671/6284 6826/7680/6292 6825/7681/6290 6817/7672/6282 -f 6819/7673/6285 6827/7682/6293 6826/7680/6292 6818/7671/6284 -f 6820/7674/6286 6828/7683/6294 6827/7682/6293 6819/7673/6285 -f 6821/7675/6287 6829/7684/6295 6828/7683/6294 6820/7674/6286 -f 6822/7676/6288 6830/7685/6296 6829/7684/6295 6821/7675/6287 -f 6823/7677/6289 6831/7686/6297 6830/7685/6296 6822/7676/6288 -f 6824/7670/6283 6832/7679/6291 6831/7686/6297 6823/7677/6289 -f 6825/7678/6290 6833/7687/6298 6840/7688/6299 6832/7679/6291 -f 6826/7680/6292 6834/7689/6300 6833/7690/6298 6825/7681/6290 -f 6827/7682/6293 6835/7691/6301 6834/7689/6300 6826/7680/6292 -f 6828/7683/6294 6836/7692/6302 6835/7691/6301 6827/7682/6293 -f 6829/7684/6295 6837/7693/6303 6836/7692/6302 6828/7683/6294 -f 6830/7685/6296 6838/7694/6304 6837/7693/6303 6829/7684/6295 -f 6831/7686/6297 6839/7695/6305 6838/7694/6304 6830/7685/6296 -f 6832/7679/6291 6840/7688/6299 6839/7695/6305 6831/7686/6297 -f 6833/7687/6298 6841/7696/6282 6848/7697/6283 6840/7688/6299 -f 6834/7689/6300 6842/7698/6306 6841/7699/6282 6833/7690/6298 -f 6835/7691/6301 6843/7700/6285 6842/7698/6306 6834/7689/6300 -f 6836/7692/6302 6844/7701/6286 6843/7700/6285 6835/7691/6301 -f 6837/7693/6303 6845/7702/6287 6844/7701/6286 6836/7692/6302 -f 6838/7694/6304 6846/7703/6288 6845/7702/6287 6837/7693/6303 -f 6839/7695/6305 6847/7704/6289 6846/7703/6288 6838/7694/6304 -f 6840/7688/6299 6848/7697/6283 6847/7704/6289 6839/7695/6305 -f 6841/7696/6282 6849/7705/6290 6856/7706/6291 6848/7697/6283 -f 6842/7698/6306 6850/7707/6307 6849/7708/6290 6841/7699/6282 -f 6843/7700/6285 6851/7709/6293 6850/7707/6307 6842/7698/6306 -f 6844/7701/6286 6852/7710/6308 6851/7709/6293 6843/7700/6285 -f 6845/7702/6287 6853/7711/6295 6852/7710/6308 6844/7701/6286 -f 6846/7703/6288 6854/7712/6296 6853/7711/6295 6845/7702/6287 -f 6847/7704/6289 6855/7713/6297 6854/7712/6296 6846/7703/6288 -f 6848/7697/6283 6856/7706/6291 6855/7713/6297 6847/7704/6289 -f 6849/7705/6290 6857/7714/6309 6864/7715/6310 6856/7706/6291 -f 6850/7707/6307 6858/7716/6311 6857/7717/6309 6849/7708/6290 -f 6851/7709/6293 6859/7718/6312 6858/7716/6311 6850/7707/6307 -f 6852/7710/6308 6860/7719/6313 6859/7718/6312 6851/7709/6293 -f 6853/7711/6295 6861/7720/6314 6860/7719/6313 6852/7710/6308 -f 6854/7712/6296 6862/7721/6315 6861/7720/6314 6853/7711/6295 -f 6855/7713/6297 6863/7722/6316 6862/7721/6315 6854/7712/6296 -f 6856/7706/6291 6864/7715/6310 6863/7722/6316 6855/7713/6297 -f 6865/7723/6317 6873/7724/6317 6880/7725/6318 6872/7726/6319 -f 6866/7727/6320 6874/7728/6320 6873/7729/6317 6865/7730/6317 -f 6867/7731/6321 6875/7732/6322 6874/7728/6320 6866/7727/6320 -f 6868/7733/6323 6876/7734/6324 6875/7732/6322 6867/7731/6321 -f 6869/7735/6325 6877/7736/6326 6876/7734/6324 6868/7733/6323 -f 6870/7737/6327 6878/7738/6327 6877/7736/6326 6869/7735/6325 -f 6871/7739/6328 6879/7740/6329 6878/7738/6327 6870/7737/6327 -f 6872/7726/6319 6880/7725/6318 6879/7740/6329 6871/7739/6328 -f 6873/7724/6317 6881/7741/6330 6888/7742/6331 6880/7725/6318 -f 6874/7728/6320 6882/7743/6332 6881/7744/6330 6873/7729/6317 -f 6875/7732/6322 6883/7745/6333 6882/7743/6332 6874/7728/6320 -f 6876/7734/6324 6884/7746/6334 6883/7745/6333 6875/7732/6322 -f 6877/7736/6326 6885/7747/6335 6884/7746/6334 6876/7734/6324 -f 6878/7738/6327 6886/7748/6336 6885/7747/6335 6877/7736/6326 -f 6879/7740/6329 6887/7749/6337 6886/7748/6336 6878/7738/6327 -f 6880/7725/6318 6888/7742/6331 6887/7749/6337 6879/7740/6329 -f 6881/7741/6330 6889/7750/6338 6896/7751/6339 6888/7742/6331 -f 6882/7743/6332 6890/7752/6340 6889/7753/6338 6881/7744/6330 -f 6883/7745/6333 6891/7754/6341 6890/7752/6340 6882/7743/6332 -f 6884/7746/6334 6892/7755/6342 6891/7754/6341 6883/7745/6333 -f 6885/7747/6335 6893/7756/6343 6892/7755/6342 6884/7746/6334 -f 6886/7748/6336 6894/7757/6344 6893/7756/6343 6885/7747/6335 -f 6887/7749/6337 6895/7758/6345 6894/7757/6344 6886/7748/6336 -f 6888/7742/6331 6896/7751/6339 6895/7758/6345 6887/7749/6337 -f 6889/7750/6338 6897/7759/6346 6904/7760/6347 6896/7751/6339 -f 6890/7752/6340 6898/7761/6348 6897/7762/6346 6889/7753/6338 -f 6891/7754/6341 6899/7763/6349 6898/7761/6348 6890/7752/6340 -f 6892/7755/6342 6900/7764/6350 6899/7763/6349 6891/7754/6341 -f 6893/7756/6343 6901/7765/6351 6900/7764/6350 6892/7755/6342 -f 6894/7757/6344 6902/7766/6352 6901/7765/6351 6893/7756/6343 -f 6895/7758/6345 6903/7767/6353 6902/7766/6352 6894/7757/6344 -f 6896/7751/6339 6904/7760/6347 6903/7767/6353 6895/7758/6345 -f 6897/7759/6346 6905/7768/6354 6912/7769/6355 6904/7760/6347 -f 6898/7761/6348 6906/7770/6356 6905/7771/6354 6897/7762/6346 -f 6899/7763/6349 6907/7772/6357 6906/7770/6356 6898/7761/6348 -f 6900/7764/6350 6908/7773/6358 6907/7772/6357 6899/7763/6349 -f 6901/7765/6351 6909/7774/6359 6908/7773/6358 6900/7764/6350 -f 6902/7766/6352 6910/7775/6360 6909/7774/6359 6901/7765/6351 -f 6903/7767/6353 6911/7776/6361 6910/7775/6360 6902/7766/6352 -f 6904/7760/6347 6912/7769/6355 6911/7776/6361 6903/7767/6353 -f 6905/7768/6354 6913/7777/6362 6920/7778/6363 6912/7769/6355 -f 6906/7770/6356 6914/7779/6364 6913/7780/6362 6905/7771/6354 -f 6907/7772/6357 6915/7781/6365 6914/7779/6364 6906/7770/6356 -f 6908/7773/6358 6916/7782/6366 6915/7781/6365 6907/7772/6357 -f 6909/7774/6359 6917/7783/6367 6916/7782/6366 6908/7773/6358 -f 6910/7775/6360 6918/7784/6368 6917/7783/6367 6909/7774/6359 -f 6911/7776/6361 6919/7785/6369 6918/7784/6368 6910/7775/6360 -f 6912/7769/6355 6920/7778/6363 6919/7785/6369 6911/7776/6361 -f 6913/7777/6362 6921/7786/6370 6928/7787/6371 6920/7778/6363 -f 6914/7779/6364 6922/7788/6372 6921/7789/6370 6913/7780/6362 -f 6915/7781/6365 6923/7790/6373 6922/7788/6372 6914/7779/6364 -f 6916/7782/6366 6924/7791/6374 6923/7790/6373 6915/7781/6365 -f 6917/7783/6367 6925/7792/6375 6924/7791/6374 6916/7782/6366 -f 6918/7784/6368 6926/7793/6376 6925/7792/6375 6917/7783/6367 -f 6919/7785/6369 6927/7794/6377 6926/7793/6376 6918/7784/6368 -f 6920/7778/6363 6928/7787/6371 6927/7794/6377 6919/7785/6369 -f 6921/7786/6370 6929/7795/6378 6936/7796/6379 6928/7787/6371 -f 6922/7788/6372 6930/7797/6380 6929/7798/6378 6921/7789/6370 -f 6923/7790/6373 6931/7799/6381 6930/7797/6380 6922/7788/6372 -f 6924/7791/6374 6932/7800/6382 6931/7799/6381 6923/7790/6373 -f 6925/7792/6375 6933/7801/6383 6932/7800/6382 6924/7791/6374 -f 6926/7793/6376 6934/7802/6384 6933/7801/6383 6925/7792/6375 -f 6927/7794/6377 6935/7803/6385 6934/7802/6384 6926/7793/6376 -f 6928/7787/6371 6936/7796/6379 6935/7803/6385 6927/7794/6377 -f 6929/7795/6378 6937/7804/6386 6944/7805/6387 6936/7796/6379 -f 6930/7797/6380 6938/7806/6388 6937/7807/6386 6929/7798/6378 -f 6931/7799/6381 6939/7808/6389 6938/7806/6388 6930/7797/6380 -f 6932/7800/6382 6940/7809/6390 6939/7808/6389 6931/7799/6381 -f 6933/7801/6383 6941/7810/6391 6940/7809/6390 6932/7800/6382 -f 6934/7802/6384 6942/7811/6392 6941/7810/6391 6933/7801/6383 -f 6935/7803/6385 6943/7812/6393 6942/7811/6392 6934/7802/6384 -f 6936/7796/6379 6944/7805/6387 6943/7812/6393 6935/7803/6385 -f 6945/7813/6394 6953/7814/6395 6960/7815/6396 6952/7816/6397 -f 6946/7817/6398 6954/7818/6399 6953/7819/6395 6945/7820/6394 -f 6947/7821/6400 6955/7822/6401 6954/7818/6399 6946/7817/6398 -f 6948/7823/6402 6956/7824/6403 6955/7822/6401 6947/7821/6400 -f 6949/7825/6404 6957/7826/6405 6956/7824/6403 6948/7823/6402 -f 6950/7827/6406 6958/7828/6407 6957/7826/6405 6949/7825/6404 -f 6951/7829/6408 6959/7830/6409 6958/7828/6407 6950/7827/6406 -f 6952/7816/6397 6960/7815/6396 6959/7830/6409 6951/7829/6408 -f 6953/7814/6395 6961/7831/6410 6968/7832/6411 6960/7815/6396 -f 6954/7818/6399 6962/7833/6412 6961/7834/6410 6953/7819/6395 -f 6955/7822/6401 6963/7835/6413 6962/7833/6412 6954/7818/6399 -f 6956/7824/6403 6964/7836/6414 6963/7835/6413 6955/7822/6401 -f 6957/7826/6405 6965/7837/6415 6964/7836/6414 6956/7824/6403 -f 6958/7828/6407 6966/7838/6416 6965/7837/6415 6957/7826/6405 -f 6959/7830/6409 6967/7839/6417 6966/7838/6416 6958/7828/6407 -f 6960/7815/6396 6968/7832/6411 6967/7839/6417 6959/7830/6409 -f 6961/7831/6410 6969/7840/6418 6976/7841/6419 6968/7832/6411 -f 6962/7833/6412 6970/7842/6420 6969/7843/6418 6961/7834/6410 -f 6963/7835/6413 6971/7844/6421 6970/7842/6420 6962/7833/6412 -f 6964/7836/6414 6972/7845/6422 6971/7844/6421 6963/7835/6413 -f 6965/7837/6415 6973/7846/6423 6972/7845/6422 6964/7836/6414 -f 6966/7838/6416 6974/7847/6424 6973/7846/6423 6965/7837/6415 -f 6967/7839/6417 6975/7848/6425 6974/7847/6424 6966/7838/6416 -f 6968/7832/6411 6976/7841/6419 6975/7848/6425 6967/7839/6417 -f 6969/7840/6418 6977/7849/6426 6984/7850/6427 6976/7841/6419 -f 6970/7842/6420 6978/7851/6428 6977/7852/6426 6969/7843/6418 -f 6971/7844/6421 6979/7853/6429 6978/7851/6428 6970/7842/6420 -f 6972/7845/6422 6980/7854/6430 6979/7853/6429 6971/7844/6421 -f 6973/7846/6423 6981/7855/6431 6980/7854/6430 6972/7845/6422 -f 6974/7847/6424 6982/7856/6432 6981/7855/6431 6973/7846/6423 -f 6975/7848/6425 6983/7857/6433 6982/7856/6432 6974/7847/6424 -f 6976/7841/6419 6984/7850/6427 6983/7857/6433 6975/7848/6425 -f 6977/7849/6426 6985/7858/6434 6992/7859/6435 6984/7850/6427 -f 6978/7851/6428 6986/7860/6436 6985/7861/6434 6977/7852/6426 -f 6979/7853/6429 6987/7862/6437 6986/7860/6436 6978/7851/6428 -f 6980/7854/6430 6988/7863/6438 6987/7862/6437 6979/7853/6429 -f 6981/7855/6431 6989/7864/6439 6988/7863/6438 6980/7854/6430 -f 6982/7856/6432 6990/7865/6440 6989/7864/6439 6981/7855/6431 -f 6983/7857/6433 6991/7866/6441 6990/7865/6440 6982/7856/6432 -f 6984/7850/6427 6992/7859/6435 6991/7866/6441 6983/7857/6433 -f 6985/7858/6434 6993/7867/6442 7000/7868/6443 6992/7859/6435 -f 6986/7860/6436 6994/7869/6444 6993/7870/6442 6985/7861/6434 -f 6987/7862/6437 6995/7871/6445 6994/7869/6444 6986/7860/6436 -f 6988/7863/6438 6996/7872/6446 6995/7871/6445 6987/7862/6437 -f 6989/7864/6439 6997/7873/6447 6996/7872/6446 6988/7863/6438 -f 6990/7865/6440 6998/7874/6448 6997/7873/6447 6989/7864/6439 -f 6991/7866/6441 6999/7875/6449 6998/7874/6448 6990/7865/6440 -f 6992/7859/6435 7000/7868/6443 6999/7875/6449 6991/7866/6441 -f 6993/7867/6442 7001/7876/6450 7008/7877/6451 7000/7868/6443 -f 6994/7869/6444 7002/7878/6452 7001/7879/6450 6993/7870/6442 -f 6995/7871/6445 7003/7880/6453 7002/7878/6452 6994/7869/6444 -f 6996/7872/6446 7004/7881/6454 7003/7880/6453 6995/7871/6445 -f 6997/7873/6447 7005/7882/6455 7004/7881/6454 6996/7872/6446 -f 6998/7874/6448 7006/7883/6456 7005/7882/6455 6997/7873/6447 -f 6999/7875/6449 7007/7884/6457 7006/7883/6456 6998/7874/6448 -f 7000/7868/6443 7008/7877/6451 7007/7884/6457 6999/7875/6449 -f 7001/7876/6450 7009/7885/6458 7016/7886/6459 7008/7877/6451 -f 7002/7878/6452 7010/7887/6460 7009/7888/6458 7001/7879/6450 -f 7003/7880/6453 7011/7889/6461 7010/7887/6460 7002/7878/6452 -f 7004/7881/6454 7012/7890/6462 7011/7889/6461 7003/7880/6453 -f 7005/7882/6455 7013/7891/6463 7012/7890/6462 7004/7881/6454 -f 7006/7883/6456 7014/7892/6464 7013/7891/6463 7005/7882/6455 -f 7007/7884/6457 7015/7893/6465 7014/7892/6464 7006/7883/6456 -f 7008/7877/6451 7016/7886/6459 7015/7893/6465 7007/7884/6457 -f 7009/7885/6458 7017/7894/6466 7024/7895/6467 7016/7886/6459 -f 7010/7887/6460 7018/7896/6468 7017/7897/6466 7009/7888/6458 -f 7011/7889/6461 7019/7898/6469 7018/7896/6468 7010/7887/6460 -f 7012/7890/6462 7020/7899/6470 7019/7898/6469 7011/7889/6461 -f 7013/7891/6463 7021/7900/6471 7020/7899/6470 7012/7890/6462 -f 7014/7892/6464 7022/7901/6472 7021/7900/6471 7013/7891/6463 -f 7015/7893/6465 7023/7902/6473 7022/7901/6472 7014/7892/6464 -f 7016/7886/6459 7024/7895/6467 7023/7902/6473 7015/7893/6465 -f 7025/7903/6474 7033/7904/6474 7040/7905/6475 7032/7906/6475 -f 7026/7907/6476 7034/7908/6477 7033/7909/6474 7025/7910/6474 -f 7027/7911/6478 7035/7912/6478 7034/7908/6477 7026/7907/6476 -f 7028/7913/6479 7036/7914/6479 7035/7912/6478 7027/7911/6478 -f 7029/7915/6480 7037/7916/6480 7036/7914/6479 7028/7913/6479 -f 7030/7917/6481 7038/7918/6481 7037/7916/6480 7029/7915/6480 -f 7031/7919/6482 7039/7920/6483 7038/7918/6481 7030/7917/6481 -f 7032/7906/6475 7040/7905/6475 7039/7920/6483 7031/7919/6482 -f 7033/7904/6474 7041/7921/6484 7048/7922/6485 7040/7905/6475 -f 7034/7908/6477 7042/7923/6486 7041/7924/6484 7033/7909/6474 -f 7035/7912/6478 7043/7925/6487 7042/7923/6486 7034/7908/6477 -f 7036/7914/6479 7044/7926/6488 7043/7925/6487 7035/7912/6478 -f 7037/7916/6480 7045/7927/6489 7044/7926/6488 7036/7914/6479 -f 7038/7918/6481 7046/7928/6490 7045/7927/6489 7037/7916/6480 -f 7039/7920/6483 7047/7929/6491 7046/7928/6490 7038/7918/6481 -f 7040/7905/6475 7048/7922/6485 7047/7929/6491 7039/7920/6483 -f 7041/7921/6484 7049/7930/6492 7056/7931/6493 7048/7922/6485 -f 7042/7923/6486 7050/7932/6494 7049/7933/6492 7041/7924/6484 -f 7043/7925/6487 7051/7934/6495 7050/7932/6494 7042/7923/6486 -f 7044/7926/6488 7052/7935/6496 7051/7934/6495 7043/7925/6487 -f 7045/7927/6489 7053/7936/6497 7052/7935/6496 7044/7926/6488 -f 7046/7928/6490 7054/7937/6498 7053/7936/6497 7045/7927/6489 -f 7047/7929/6491 7055/7938/6499 7054/7937/6498 7046/7928/6490 -f 7048/7922/6485 7056/7931/6493 7055/7938/6499 7047/7929/6491 -f 7049/7930/6492 7057/7939/6500 7064/7940/6501 7056/7931/6493 -f 7050/7932/6494 7058/7941/6502 7057/7942/6500 7049/7933/6492 -f 7051/7934/6495 7059/7943/6503 7058/7941/6502 7050/7932/6494 -f 7052/7935/6496 7060/7944/6504 7059/7943/6503 7051/7934/6495 -f 7053/7936/6497 7061/7945/6505 7060/7944/6504 7052/7935/6496 -f 7054/7937/6498 7062/7946/6506 7061/7945/6505 7053/7936/6497 -f 7055/7938/6499 7063/7947/6507 7062/7946/6506 7054/7937/6498 -f 7056/7931/6493 7064/7940/6501 7063/7947/6507 7055/7938/6499 -f 7057/7939/6500 7065/7948/6508 7072/7949/6509 7064/7940/6501 -f 7058/7941/6502 7066/7950/6510 7065/7951/6508 7057/7942/6500 -f 7059/7943/6503 7067/7952/6511 7066/7950/6510 7058/7941/6502 -f 7060/7944/6504 7068/7953/6512 7067/7952/6511 7059/7943/6503 -f 7061/7945/6505 7069/7954/6513 7068/7953/6512 7060/7944/6504 -f 7062/7946/6506 7070/7955/6514 7069/7954/6513 7061/7945/6505 -f 7063/7947/6507 7071/7956/6515 7070/7955/6514 7062/7946/6506 -f 7064/7940/6501 7072/7949/6509 7071/7956/6515 7063/7947/6507 -f 7065/7948/6508 7073/7957/6516 7080/7958/6517 7072/7949/6509 -f 7066/7950/6510 7074/7959/6518 7073/7960/6516 7065/7951/6508 -f 7067/7952/6511 7075/7961/6519 7074/7959/6518 7066/7950/6510 -f 7068/7953/6512 7076/7962/6520 7075/7961/6519 7067/7952/6511 -f 7069/7954/6513 7077/7963/6521 7076/7962/6520 7068/7953/6512 -f 7070/7955/6514 7078/7964/6522 7077/7963/6521 7069/7954/6513 -f 7071/7956/6515 7079/7965/6523 7078/7964/6522 7070/7955/6514 -f 7072/7949/6509 7080/7958/6517 7079/7965/6523 7071/7956/6515 -f 7073/7957/6516 7081/7966/6500 7088/7967/6524 7080/7958/6517 -f 7074/7959/6518 7082/7968/6502 7081/7969/6500 7073/7960/6516 -f 7075/7961/6519 7083/7970/6503 7082/7968/6502 7074/7959/6518 -f 7076/7962/6520 7084/7971/6525 7083/7970/6503 7075/7961/6519 -f 7077/7963/6521 7085/7972/6526 7084/7971/6525 7076/7962/6520 -f 7078/7964/6522 7086/7973/6506 7085/7972/6526 7077/7963/6521 -f 7079/7965/6523 7087/7974/6507 7086/7973/6506 7078/7964/6522 -f 7080/7958/6517 7088/7967/6524 7087/7974/6507 7079/7965/6523 -f 7081/7966/6500 7089/7975/6527 7096/7976/6528 7088/7967/6524 -f 7082/7968/6502 7090/7977/6510 7089/7978/6527 7081/7969/6500 -f 7083/7970/6503 7091/7979/6529 7090/7977/6510 7082/7968/6502 -f 7084/7971/6525 7092/7980/6530 7091/7979/6529 7083/7970/6503 -f 7085/7972/6526 7093/7981/6513 7092/7980/6530 7084/7971/6525 -f 7086/7973/6506 7094/7982/6531 7093/7981/6513 7085/7972/6526 -f 7087/7974/6507 7095/7983/6532 7094/7982/6531 7086/7973/6506 -f 7088/7967/6524 7096/7976/6528 7095/7983/6532 7087/7974/6507 -f 7089/7975/6527 7097/7984/6533 7104/7985/6534 7096/7976/6528 -f 7090/7977/6510 7098/7986/6518 7097/7987/6533 7089/7978/6527 -f 7091/7979/6529 7099/7988/6535 7098/7986/6518 7090/7977/6510 -f 7092/7980/6530 7100/7989/6520 7099/7988/6535 7091/7979/6529 -f 7093/7981/6513 7101/7990/6536 7100/7989/6520 7092/7980/6530 -f 7094/7982/6531 7102/7991/6537 7101/7990/6536 7093/7981/6513 -f 7095/7983/6532 7103/7992/6538 7102/7991/6537 7094/7982/6531 -f 7096/7976/6528 7104/7985/6534 7103/7992/6538 7095/7983/6532 -f 7105/7993/6539 7113/7994/6539 7120/7995/6540 7112/7996/6540 -f 7106/7997/6541 7114/7998/6541 7113/7999/6539 7105/8000/6539 -f 7107/8001/6542 7115/8002/6542 7114/7998/6541 7106/7997/6541 -f 7108/8003/6543 7116/8004/6543 7115/8002/6542 7107/8001/6542 -f 7109/8005/6544 7117/8006/6544 7116/8004/6543 7108/8003/6543 -f 7110/8007/6545 7118/8008/6545 7117/8006/6544 7109/8005/6544 -f 7111/8009/6546 7119/8010/6546 7118/8008/6545 7110/8007/6545 -f 7112/7996/6540 7120/7995/6540 7119/8010/6546 7111/8009/6546 -f 7113/7994/6539 7121/8011/6547 7128/8012/6548 7120/7995/6540 -f 7114/7998/6541 7122/8013/6549 7121/8014/6547 7113/7999/6539 -f 7115/8002/6542 7123/8015/6550 7122/8013/6549 7114/7998/6541 -f 7116/8004/6543 7124/8016/6551 7123/8015/6550 7115/8002/6542 -f 7117/8006/6544 7125/8017/6552 7124/8016/6551 7116/8004/6543 -f 7118/8008/6545 7126/8018/6553 7125/8017/6552 7117/8006/6544 -f 7119/8010/6546 7127/8019/6554 7126/8018/6553 7118/8008/6545 -f 7120/7995/6540 7128/8012/6548 7127/8019/6554 7119/8010/6546 -f 7121/8011/6547 7129/8020/6555 7136/8021/6556 7128/8012/6548 -f 7122/8013/6549 7130/8022/6557 7129/8023/6555 7121/8014/6547 -f 7123/8015/6550 7131/8024/6558 7130/8022/6557 7122/8013/6549 -f 7124/8016/6551 7132/8025/6559 7131/8024/6558 7123/8015/6550 -f 7125/8017/6552 7133/8026/6560 7132/8025/6559 7124/8016/6551 -f 7126/8018/6553 7134/8027/6561 7133/8026/6560 7125/8017/6552 -f 7127/8019/6554 7135/8028/6562 7134/8027/6561 7126/8018/6553 -f 7128/8012/6548 7136/8021/6556 7135/8028/6562 7127/8019/6554 -f 7129/8020/6555 7137/8029/6563 7144/8030/6564 7136/8021/6556 -f 7130/8022/6557 7138/8031/6565 7137/8032/6563 7129/8023/6555 -f 7131/8024/6558 7139/8033/6566 7138/8031/6565 7130/8022/6557 -f 7132/8025/6559 7140/8034/6567 7139/8033/6566 7131/8024/6558 -f 7133/8026/6560 7141/8035/6568 7140/8034/6567 7132/8025/6559 -f 7134/8027/6561 7142/8036/6569 7141/8035/6568 7133/8026/6560 -f 7135/8028/6562 7143/8037/6570 7142/8036/6569 7134/8027/6561 -f 7136/8021/6556 7144/8030/6564 7143/8037/6570 7135/8028/6562 -f 7137/8029/6563 7145/8038/6571 7152/8039/6572 7144/8030/6564 -f 7138/8031/6565 7146/8040/6573 7145/8041/6571 7137/8032/6563 -f 7139/8033/6566 7147/8042/6574 7146/8040/6573 7138/8031/6565 -f 7140/8034/6567 7148/8043/6575 7147/8042/6574 7139/8033/6566 -f 7141/8035/6568 7149/8044/6576 7148/8043/6575 7140/8034/6567 -f 7142/8036/6569 7150/8045/6577 7149/8044/6576 7141/8035/6568 -f 7143/8037/6570 7151/8046/6578 7150/8045/6577 7142/8036/6569 -f 7144/8030/6564 7152/8039/6572 7151/8046/6578 7143/8037/6570 -f 7145/8038/6571 7153/8047/6579 7160/8048/6580 7152/8039/6572 -f 7146/8040/6573 7154/8049/6581 7153/8050/6579 7145/8041/6571 -f 7147/8042/6574 7155/8051/6582 7154/8049/6581 7146/8040/6573 -f 7148/8043/6575 7156/8052/6583 7155/8051/6582 7147/8042/6574 -f 7149/8044/6576 7157/8053/6584 7156/8052/6583 7148/8043/6575 -f 7150/8045/6577 7158/8054/6585 7157/8053/6584 7149/8044/6576 -f 7151/8046/6578 7159/8055/6586 7158/8054/6585 7150/8045/6577 -f 7152/8039/6572 7160/8048/6580 7159/8055/6586 7151/8046/6578 -f 7153/8047/6579 7161/8056/6563 7168/8057/6564 7160/8048/6580 -f 7154/8049/6581 7162/8058/6565 7161/8059/6563 7153/8050/6579 -f 7155/8051/6582 7163/8060/6566 7162/8058/6565 7154/8049/6581 -f 7156/8052/6583 7164/8061/6567 7163/8060/6566 7155/8051/6582 -f 7157/8053/6584 7165/8062/6568 7164/8061/6567 7156/8052/6583 -f 7158/8054/6585 7166/8063/6569 7165/8062/6568 7157/8053/6584 -f 7159/8055/6586 7167/8064/6570 7166/8063/6569 7158/8054/6585 -f 7160/8048/6580 7168/8057/6564 7167/8064/6570 7159/8055/6586 -f 7161/8056/6563 7169/8065/6571 7176/8066/6572 7168/8057/6564 -f 7162/8058/6565 7170/8067/6587 7169/8068/6571 7161/8059/6563 -f 7163/8060/6566 7171/8069/6588 7170/8067/6587 7162/8058/6565 -f 7164/8061/6567 7172/8070/6589 7171/8069/6588 7163/8060/6566 -f 7165/8062/6568 7173/8071/6576 7172/8070/6589 7164/8061/6567 -f 7166/8063/6569 7174/8072/6577 7173/8071/6576 7165/8062/6568 -f 7167/8064/6570 7175/8073/6578 7174/8072/6577 7166/8063/6569 -f 7168/8057/6564 7176/8066/6572 7175/8073/6578 7167/8064/6570 -f 7169/8065/6571 7177/8074/6579 7184/8075/6580 7176/8066/6572 -f 7170/8067/6587 7178/8076/6590 7177/8077/6579 7169/8068/6571 -f 7171/8069/6588 7179/8078/6591 7178/8076/6590 7170/8067/6587 -f 7172/8070/6589 7180/8079/6592 7179/8078/6591 7171/8069/6588 -f 7173/8071/6576 7181/8080/6584 7180/8079/6592 7172/8070/6589 -f 7174/8072/6577 7182/8081/6585 7181/8080/6584 7173/8071/6576 -f 7175/8073/6578 7183/8082/6593 7182/8081/6585 7174/8072/6577 -f 7176/8066/6572 7184/8075/6580 7183/8082/6593 7175/8073/6578 -f 7185/8083/6594 7193/8084/6594 7200/8085/6595 7192/8086/6595 -f 7186/8087/6596 7194/8088/6597 7193/8089/6594 7185/8090/6594 -f 7187/8091/6598 7195/8092/6598 7194/8088/6597 7186/8087/6596 -f 7188/8093/6599 7196/8094/6599 7195/8092/6598 7187/8091/6598 -f 7189/8095/6600 7197/8096/6600 7196/8094/6599 7188/8093/6599 -f 7190/8097/6601 7198/8098/6601 7197/8096/6600 7189/8095/6600 -f 7191/8099/6602 7199/8100/6602 7198/8098/6601 7190/8097/6601 -f 7192/8086/6595 7200/8085/6595 7199/8100/6602 7191/8099/6602 -f 7193/8084/6594 7201/8101/6603 7208/8102/6604 7200/8085/6595 -f 7194/8088/6597 7202/8103/6605 7201/8104/6603 7193/8089/6594 -f 7195/8092/6598 7203/8105/6606 7202/8103/6605 7194/8088/6597 -f 7196/8094/6599 7204/8106/6607 7203/8105/6606 7195/8092/6598 -f 7197/8096/6600 7205/8107/6608 7204/8106/6607 7196/8094/6599 -f 7198/8098/6601 7206/8108/6609 7205/8107/6608 7197/8096/6600 -f 7199/8100/6602 7207/8109/6610 7206/8108/6609 7198/8098/6601 -f 7200/8085/6595 7208/8102/6604 7207/8109/6610 7199/8100/6602 -f 7201/8101/6603 7209/8110/6611 7216/8111/6612 7208/8102/6604 -f 7202/8103/6605 7210/8112/6613 7209/8113/6611 7201/8104/6603 -f 7203/8105/6606 7211/8114/6614 7210/8112/6613 7202/8103/6605 -f 7204/8106/6607 7212/8115/6615 7211/8114/6614 7203/8105/6606 -f 7205/8107/6608 7213/8116/6616 7212/8115/6615 7204/8106/6607 -f 7206/8108/6609 7214/8117/6617 7213/8116/6616 7205/8107/6608 -f 7207/8109/6610 7215/8118/6618 7214/8117/6617 7206/8108/6609 -f 7208/8102/6604 7216/8111/6612 7215/8118/6618 7207/8109/6610 -f 7209/8110/6611 7217/8119/6619 7224/8120/6620 7216/8111/6612 -f 7210/8112/6613 7218/8121/6621 7217/8122/6619 7209/8113/6611 -f 7211/8114/6614 7219/8123/6622 7218/8121/6621 7210/8112/6613 -f 7212/8115/6615 7220/8124/6623 7219/8123/6622 7211/8114/6614 -f 7213/8116/6616 7221/8125/6624 7220/8124/6623 7212/8115/6615 -f 7214/8117/6617 7222/8126/6625 7221/8125/6624 7213/8116/6616 -f 7215/8118/6618 7223/8127/6626 7222/8126/6625 7214/8117/6617 -f 7216/8111/6612 7224/8120/6620 7223/8127/6626 7215/8118/6618 -f 7217/8119/6619 7225/8128/6627 7232/8129/6628 7224/8120/6620 -f 7218/8121/6621 7226/8130/6629 7225/8131/6627 7217/8122/6619 -f 7219/8123/6622 7227/8132/6630 7226/8130/6629 7218/8121/6621 -f 7220/8124/6623 7228/8133/6631 7227/8132/6630 7219/8123/6622 -f 7221/8125/6624 7229/8134/6632 7228/8133/6631 7220/8124/6623 -f 7222/8126/6625 7230/8135/6633 7229/8134/6632 7221/8125/6624 -f 7223/8127/6626 7231/8136/6634 7230/8135/6633 7222/8126/6625 -f 7224/8120/6620 7232/8129/6628 7231/8136/6634 7223/8127/6626 -f 7225/8128/6627 7233/8137/6635 7240/8138/6636 7232/8129/6628 -f 7226/8130/6629 7234/8139/6637 7233/8140/6635 7225/8131/6627 -f 7227/8132/6630 7235/8141/6638 7234/8139/6637 7226/8130/6629 -f 7228/8133/6631 7236/8142/6639 7235/8141/6638 7227/8132/6630 -f 7229/8134/6632 7237/8143/6640 7236/8142/6639 7228/8133/6631 -f 7230/8135/6633 7238/8144/6641 7237/8143/6640 7229/8134/6632 -f 7231/8136/6634 7239/8145/6642 7238/8144/6641 7230/8135/6633 -f 7232/8129/6628 7240/8138/6636 7239/8145/6642 7231/8136/6634 -f 7233/8137/6635 7241/8146/6619 7248/8147/6620 7240/8138/6636 -f 7234/8139/6637 7242/8148/6643 7241/8149/6619 7233/8140/6635 -f 7235/8141/6638 7243/8150/6644 7242/8148/6643 7234/8139/6637 -f 7236/8142/6639 7244/8151/6623 7243/8150/6644 7235/8141/6638 -f 7237/8143/6640 7245/8152/6624 7244/8151/6623 7236/8142/6639 -f 7238/8144/6641 7246/8153/6645 7245/8152/6624 7237/8143/6640 -f 7239/8145/6642 7247/8154/6646 7246/8153/6645 7238/8144/6641 -f 7240/8138/6636 7248/8147/6620 7247/8154/6646 7239/8145/6642 -f 7241/8146/6619 7249/8155/6627 7256/8156/6628 7248/8147/6620 -f 7242/8148/6643 7250/8157/6629 7249/8158/6627 7241/8149/6619 -f 7243/8150/6644 7251/8159/6647 7250/8157/6629 7242/8148/6643 -f 7244/8151/6623 7252/8160/6631 7251/8159/6647 7243/8150/6644 -f 7245/8152/6624 7253/8161/6648 7252/8160/6631 7244/8151/6623 -f 7246/8153/6645 7254/8162/6633 7253/8161/6648 7245/8152/6624 -f 7247/8154/6646 7255/8163/6649 7254/8162/6633 7246/8153/6645 -f 7248/8147/6620 7256/8156/6628 7255/8163/6649 7247/8154/6646 -f 7249/8155/6627 7257/8164/6650 7264/8165/6636 7256/8156/6628 -f 7250/8157/6629 7258/8166/6651 7257/8167/6650 7249/8158/6627 -f 7251/8159/6647 7259/8168/6652 7258/8166/6651 7250/8157/6629 -f 7252/8160/6631 7260/8169/6653 7259/8168/6652 7251/8159/6647 -f 7253/8161/6648 7261/8170/6654 7260/8169/6653 7252/8160/6631 -f 7254/8162/6633 7262/8171/6641 7261/8170/6654 7253/8161/6648 -f 7255/8163/6649 7263/8172/6655 7262/8171/6641 7254/8162/6633 -f 7256/8156/6628 7264/8165/6636 7263/8172/6655 7255/8163/6649 -f 7265/8173/6656 7273/8174/6657 7280/8175/6658 7272/8176/6659 -f 7266/8177/6660 7274/8178/6661 7273/8179/6657 7265/8180/6656 -f 7267/8181/6662 7275/8182/6663 7274/8178/6661 7266/8177/6660 -f 7268/8183/6664 7276/8184/6665 7275/8182/6663 7267/8181/6662 -f 7269/8185/6666 7277/8186/6667 7276/8184/6665 7268/8183/6664 -f 7270/8187/6668 7278/8188/6669 7277/8186/6667 7269/8185/6666 -f 7271/8189/6670 7279/8190/6671 7278/8188/6669 7270/8187/6668 -f 7272/8176/6659 7280/8175/6658 7279/8190/6671 7271/8189/6670 -f 7273/8174/6657 7281/8191/6672 7288/8192/6673 7280/8175/6658 -f 7274/8178/6661 7282/8193/6674 7281/8194/6672 7273/8179/6657 -f 7275/8182/6663 7283/8195/6675 7282/8193/6674 7274/8178/6661 -f 7276/8184/6665 7284/8196/6676 7283/8195/6675 7275/8182/6663 -f 7277/8186/6667 7285/8197/6677 7284/8196/6676 7276/8184/6665 -f 7278/8188/6669 7286/8198/6678 7285/8197/6677 7277/8186/6667 -f 7279/8190/6671 7287/8199/6679 7286/8198/6678 7278/8188/6669 -f 7280/8175/6658 7288/8192/6673 7287/8199/6679 7279/8190/6671 -f 7281/8191/6672 7289/8200/6680 7296/8201/6681 7288/8192/6673 -f 7282/8193/6674 7290/8202/6682 7289/8203/6680 7281/8194/6672 -f 7283/8195/6675 7291/8204/6683 7290/8202/6682 7282/8193/6674 -f 7284/8196/6676 7292/8205/6684 7291/8204/6683 7283/8195/6675 -f 7285/8197/6677 7293/8206/6685 7292/8205/6684 7284/8196/6676 -f 7286/8198/6678 7294/8207/6686 7293/8206/6685 7285/8197/6677 -f 7287/8199/6679 7295/8208/6687 7294/8207/6686 7286/8198/6678 -f 7288/8192/6673 7296/8201/6681 7295/8208/6687 7287/8199/6679 -f 7289/8200/6680 7297/8209/6688 7304/8210/6689 7296/8201/6681 -f 7290/8202/6682 7298/8211/6690 7297/8212/6688 7289/8203/6680 -f 7291/8204/6683 7299/8213/6691 7298/8211/6690 7290/8202/6682 -f 7292/8205/6684 7300/8214/6692 7299/8213/6691 7291/8204/6683 -f 7293/8206/6685 7301/8215/6693 7300/8214/6692 7292/8205/6684 -f 7294/8207/6686 7302/8216/6694 7301/8215/6693 7293/8206/6685 -f 7295/8208/6687 7303/8217/6695 7302/8216/6694 7294/8207/6686 -f 7296/8201/6681 7304/8210/6689 7303/8217/6695 7295/8208/6687 -f 7297/8209/6688 7305/8218/6696 7312/8219/6697 7304/8210/6689 -f 7298/8211/6690 7306/8220/6698 7305/8221/6696 7297/8212/6688 -f 7299/8213/6691 7307/8222/6699 7306/8220/6698 7298/8211/6690 -f 7300/8214/6692 7308/8223/6700 7307/8222/6699 7299/8213/6691 -f 7301/8215/6693 7309/8224/6701 7308/8223/6700 7300/8214/6692 -f 7302/8216/6694 7310/8225/6702 7309/8224/6701 7301/8215/6693 -f 7303/8217/6695 7311/8226/6703 7310/8225/6702 7302/8216/6694 -f 7304/8210/6689 7312/8219/6697 7311/8226/6703 7303/8217/6695 -f 7305/8218/6696 7313/8227/6704 7320/8228/6705 7312/8219/6697 -f 7306/8220/6698 7314/8229/6706 7313/8230/6704 7305/8221/6696 -f 7307/8222/6699 7315/8231/6707 7314/8229/6706 7306/8220/6698 -f 7308/8223/6700 7316/8232/6708 7315/8231/6707 7307/8222/6699 -f 7309/8224/6701 7317/8233/6709 7316/8232/6708 7308/8223/6700 -f 7310/8225/6702 7318/8234/6710 7317/8233/6709 7309/8224/6701 -f 7311/8226/6703 7319/8235/6711 7318/8234/6710 7310/8225/6702 -f 7312/8219/6697 7320/8228/6705 7319/8235/6711 7311/8226/6703 -f 7313/8227/6704 7321/8236/6712 7328/8237/6713 7320/8228/6705 -f 7314/8229/6706 7322/8238/6714 7321/8239/6712 7313/8230/6704 -f 7315/8231/6707 7323/8240/6715 7322/8238/6714 7314/8229/6706 -f 7316/8232/6708 7324/8241/6716 7323/8240/6715 7315/8231/6707 -f 7317/8233/6709 7325/8242/6717 7324/8241/6716 7316/8232/6708 -f 7318/8234/6710 7326/8243/6718 7325/8242/6717 7317/8233/6709 -f 7319/8235/6711 7327/8244/6719 7326/8243/6718 7318/8234/6710 -f 7320/8228/6705 7328/8237/6713 7327/8244/6719 7319/8235/6711 -f 7321/8236/6712 7329/8245/6720 7336/8246/6721 7328/8237/6713 -f 7322/8238/6714 7330/8247/6722 7329/8248/6720 7321/8239/6712 -f 7323/8240/6715 7331/8249/6723 7330/8247/6722 7322/8238/6714 -f 7324/8241/6716 7332/8250/6724 7331/8249/6723 7323/8240/6715 -f 7325/8242/6717 7333/8251/6725 7332/8250/6724 7324/8241/6716 -f 7326/8243/6718 7334/8252/6726 7333/8251/6725 7325/8242/6717 -f 7327/8244/6719 7335/8253/6727 7334/8252/6726 7326/8243/6718 -f 7328/8237/6713 7336/8246/6721 7335/8253/6727 7327/8244/6719 -f 7329/8245/6720 7337/8254/6728 7344/8255/6729 7336/8246/6721 -f 7330/8247/6722 7338/8256/6730 7337/8257/6728 7329/8248/6720 -f 7331/8249/6723 7339/8258/6731 7338/8256/6730 7330/8247/6722 -f 7332/8250/6724 7340/8259/6732 7339/8258/6731 7331/8249/6723 -f 7333/8251/6725 7341/8260/6733 7340/8259/6732 7332/8250/6724 -f 7334/8252/6726 7342/8261/6734 7341/8260/6733 7333/8251/6725 -f 7335/8253/6727 7343/8262/6735 7342/8261/6734 7334/8252/6726 -f 7336/8246/6721 7344/8255/6729 7343/8262/6735 7335/8253/6727 -f 7345/8263/6736 7353/8264/6736 7360/8265/6737 7352/8266/6738 -f 7346/8267/6739 7354/8268/6739 7353/8269/6736 7345/8270/6736 -f 7347/8271/6740 7355/8272/6741 7354/8268/6739 7346/8267/6739 -f 7348/8273/6742 7356/8274/6743 7355/8272/6741 7347/8271/6740 -f 7349/8275/6744 7357/8276/6744 7356/8274/6743 7348/8273/6742 -f 7350/8277/6745 7358/8278/6745 7357/8276/6744 7349/8275/6744 -f 7351/8279/6746 7359/8280/6746 7358/8278/6745 7350/8277/6745 -f 7352/8266/6738 7360/8265/6737 7359/8280/6746 7351/8279/6746 -f 7353/8264/6736 7361/8281/6747 7368/8282/6748 7360/8265/6737 -f 7354/8268/6739 7362/8283/6749 7361/8284/6747 7353/8269/6736 -f 7355/8272/6741 7363/8285/6750 7362/8283/6749 7354/8268/6739 -f 7356/8274/6743 7364/8286/6751 7363/8285/6750 7355/8272/6741 -f 7357/8276/6744 7365/8287/6752 7364/8286/6751 7356/8274/6743 -f 7358/8278/6745 7366/8288/6753 7365/8287/6752 7357/8276/6744 -f 7359/8280/6746 7367/8289/6754 7366/8288/6753 7358/8278/6745 -f 7360/8265/6737 7368/8282/6748 7367/8289/6754 7359/8280/6746 -f 7361/8281/6747 7369/8290/6755 7376/8291/6756 7368/8282/6748 -f 7362/8283/6749 7370/8292/6757 7369/8293/6755 7361/8284/6747 -f 7363/8285/6750 7371/8294/6758 7370/8292/6757 7362/8283/6749 -f 7364/8286/6751 7372/8295/6759 7371/8294/6758 7363/8285/6750 -f 7365/8287/6752 7373/8296/6760 7372/8295/6759 7364/8286/6751 -f 7366/8288/6753 7374/8297/6761 7373/8296/6760 7365/8287/6752 -f 7367/8289/6754 7375/8298/6762 7374/8297/6761 7366/8288/6753 -f 7368/8282/6748 7376/8291/6756 7375/8298/6762 7367/8289/6754 -f 7369/8290/6755 7377/8299/6763 7384/8300/6764 7376/8291/6756 -f 7370/8292/6757 7378/8301/6765 7377/8302/6763 7369/8293/6755 -f 7371/8294/6758 7379/8303/6766 7378/8301/6765 7370/8292/6757 -f 7372/8295/6759 7380/8304/6767 7379/8303/6766 7371/8294/6758 -f 7373/8296/6760 7381/8305/6768 7380/8304/6767 7372/8295/6759 -f 7374/8297/6761 7382/8306/6769 7381/8305/6768 7373/8296/6760 -f 7375/8298/6762 7383/8307/6770 7382/8306/6769 7374/8297/6761 -f 7376/8291/6756 7384/8300/6764 7383/8307/6770 7375/8298/6762 -f 7377/8299/6763 7385/8308/6771 7392/8309/6772 7384/8300/6764 -f 7378/8301/6765 7386/8310/6773 7385/8311/6771 7377/8302/6763 -f 7379/8303/6766 7387/8312/6774 7386/8310/6773 7378/8301/6765 -f 7380/8304/6767 7388/8313/6775 7387/8312/6774 7379/8303/6766 -f 7381/8305/6768 7389/8314/6776 7388/8313/6775 7380/8304/6767 -f 7382/8306/6769 7390/8315/6777 7389/8314/6776 7381/8305/6768 -f 7383/8307/6770 7391/8316/6778 7390/8315/6777 7382/8306/6769 -f 7384/8300/6764 7392/8309/6772 7391/8316/6778 7383/8307/6770 -f 7385/8308/6771 7393/8317/6779 7400/8318/6780 7392/8309/6772 -f 7386/8310/6773 7394/8319/6781 7393/8320/6779 7385/8311/6771 -f 7387/8312/6774 7395/8321/6782 7394/8319/6781 7386/8310/6773 -f 7388/8313/6775 7396/8322/6783 7395/8321/6782 7387/8312/6774 -f 7389/8314/6776 7397/8323/6784 7396/8322/6783 7388/8313/6775 -f 7390/8315/6777 7398/8324/6785 7397/8323/6784 7389/8314/6776 -f 7391/8316/6778 7399/8325/6786 7398/8324/6785 7390/8315/6777 -f 7392/8309/6772 7400/8318/6780 7399/8325/6786 7391/8316/6778 -f 7393/8317/6779 7401/8326/6787 7408/8327/6788 7400/8318/6780 -f 7394/8319/6781 7402/8328/6765 7401/8329/6787 7393/8320/6779 -f 7395/8321/6782 7403/8330/6766 7402/8328/6765 7394/8319/6781 -f 7396/8322/6783 7404/8331/6767 7403/8330/6766 7395/8321/6782 -f 7397/8323/6784 7405/8332/6768 7404/8331/6767 7396/8322/6783 -f 7398/8324/6785 7406/8333/6769 7405/8332/6768 7397/8323/6784 -f 7399/8325/6786 7407/8334/6770 7406/8333/6769 7398/8324/6785 -f 7400/8318/6780 7408/8327/6788 7407/8334/6770 7399/8325/6786 -f 7401/8326/6787 7409/8335/6771 7416/8336/6772 7408/8327/6788 -f 7402/8328/6765 7410/8337/6789 7409/8338/6771 7401/8329/6787 -f 7403/8330/6766 7411/8339/6790 7410/8337/6789 7402/8328/6765 -f 7404/8331/6767 7412/8340/6775 7411/8339/6790 7403/8330/6766 -f 7405/8332/6768 7413/8341/6791 7412/8340/6775 7404/8331/6767 -f 7406/8333/6769 7414/8342/6777 7413/8341/6791 7405/8332/6768 -f 7407/8334/6770 7415/8343/6778 7414/8342/6777 7406/8333/6769 -f 7408/8327/6788 7416/8336/6772 7415/8343/6778 7407/8334/6770 -f 7409/8335/6771 7417/8344/6792 7424/8345/6793 7416/8336/6772 -f 7410/8337/6789 7418/8346/6781 7417/8347/6792 7409/8338/6771 -f 7411/8339/6790 7419/8348/6794 7418/8346/6781 7410/8337/6789 -f 7412/8340/6775 7420/8349/6795 7419/8348/6794 7411/8339/6790 -f 7413/8341/6791 7421/8350/6796 7420/8349/6795 7412/8340/6775 -f 7414/8342/6777 7422/8351/6797 7421/8350/6796 7413/8341/6791 -f 7415/8343/6778 7423/8352/6798 7422/8351/6797 7414/8342/6777 -f 7416/8336/6772 7424/8345/6793 7423/8352/6798 7415/8343/6778 -f 7425/8353/6799 7433/8354/6799 7440/8355/6800 7432/8356/6801 -f 7426/8357/6802 7434/8358/6802 7433/8359/6799 7425/8360/6799 -f 7427/8361/6803 7435/8362/6803 7434/8358/6802 7426/8357/6802 -f 7428/8363/6804 7436/8364/6804 7435/8362/6803 7427/8361/6803 -f 7429/8365/6805 7437/8366/6805 7436/8364/6804 7428/8363/6804 -f 7430/8367/6806 7438/8368/6807 7437/8366/6805 7429/8365/6805 -f 7431/8369/6808 7439/8370/6808 7438/8368/6807 7430/8367/6806 -f 7432/8356/6801 7440/8355/6800 7439/8370/6808 7431/8369/6808 -f 7433/8354/6799 7441/8371/6809 7448/8372/6810 7440/8355/6800 -f 7434/8358/6802 7442/8373/6811 7441/8374/6809 7433/8359/6799 -f 7435/8362/6803 7443/8375/6812 7442/8373/6811 7434/8358/6802 -f 7436/8364/6804 7444/8376/6813 7443/8375/6812 7435/8362/6803 -f 7437/8366/6805 7445/8377/6814 7444/8376/6813 7436/8364/6804 -f 7438/8368/6807 7446/8378/6815 7445/8377/6814 7437/8366/6805 -f 7439/8370/6808 7447/8379/6816 7446/8378/6815 7438/8368/6807 -f 7440/8355/6800 7448/8372/6810 7447/8379/6816 7439/8370/6808 -f 7441/8371/6809 7449/8380/6817 7456/8381/6818 7448/8372/6810 -f 7442/8373/6811 7450/8382/6819 7449/8383/6817 7441/8374/6809 -f 7443/8375/6812 7451/8384/6820 7450/8382/6819 7442/8373/6811 -f 7444/8376/6813 7452/8385/6821 7451/8384/6820 7443/8375/6812 -f 7445/8377/6814 7453/8386/6822 7452/8385/6821 7444/8376/6813 -f 7446/8378/6815 7454/8387/6823 7453/8386/6822 7445/8377/6814 -f 7447/8379/6816 7455/8388/6824 7454/8387/6823 7446/8378/6815 -f 7448/8372/6810 7456/8381/6818 7455/8388/6824 7447/8379/6816 -f 7449/8380/6817 7457/8389/6825 7464/8390/6826 7456/8381/6818 -f 7450/8382/6819 7458/8391/6827 7457/8392/6825 7449/8383/6817 -f 7451/8384/6820 7459/8393/6828 7458/8391/6827 7450/8382/6819 -f 7452/8385/6821 7460/8394/6829 7459/8393/6828 7451/8384/6820 -f 7453/8386/6822 7461/8395/6830 7460/8394/6829 7452/8385/6821 -f 7454/8387/6823 7462/8396/6831 7461/8395/6830 7453/8386/6822 -f 7455/8388/6824 7463/8397/6832 7462/8396/6831 7454/8387/6823 -f 7456/8381/6818 7464/8390/6826 7463/8397/6832 7455/8388/6824 -f 7457/8389/6825 7465/8398/6833 7472/8399/6834 7464/8390/6826 -f 7458/8391/6827 7466/8400/6835 7465/8401/6833 7457/8392/6825 -f 7459/8393/6828 7467/8402/6836 7466/8400/6835 7458/8391/6827 -f 7460/8394/6829 7468/8403/6837 7467/8402/6836 7459/8393/6828 -f 7461/8395/6830 7469/8404/6838 7468/8403/6837 7460/8394/6829 -f 7462/8396/6831 7470/8405/6839 7469/8404/6838 7461/8395/6830 -f 7463/8397/6832 7471/8406/6840 7470/8405/6839 7462/8396/6831 -f 7464/8390/6826 7472/8399/6834 7471/8406/6840 7463/8397/6832 -f 7465/8398/6833 7473/8407/6841 7480/8408/6842 7472/8399/6834 -f 7466/8400/6835 7474/8409/6843 7473/8410/6841 7465/8401/6833 -f 7467/8402/6836 7475/8411/6844 7474/8409/6843 7466/8400/6835 -f 7468/8403/6837 7476/8412/6845 7475/8411/6844 7467/8402/6836 -f 7469/8404/6838 7477/8413/6846 7476/8412/6845 7468/8403/6837 -f 7470/8405/6839 7478/8414/6847 7477/8413/6846 7469/8404/6838 -f 7471/8406/6840 7479/8415/6848 7478/8414/6847 7470/8405/6839 -f 7472/8399/6834 7480/8408/6842 7479/8415/6848 7471/8406/6840 -f 7473/8407/6841 7481/8416/6849 7488/8417/6826 7480/8408/6842 -f 7474/8409/6843 7482/8418/6827 7481/8419/6849 7473/8410/6841 -f 7475/8411/6844 7483/8420/6828 7482/8418/6827 7474/8409/6843 -f 7476/8412/6845 7484/8421/6829 7483/8420/6828 7475/8411/6844 -f 7477/8413/6846 7485/8422/6850 7484/8421/6829 7476/8412/6845 -f 7478/8414/6847 7486/8423/6831 7485/8422/6850 7477/8413/6846 -f 7479/8415/6848 7487/8424/6832 7486/8423/6831 7478/8414/6847 -f 7480/8408/6842 7488/8417/6826 7487/8424/6832 7479/8415/6848 -f 7481/8416/6849 7489/8425/6851 7496/8426/6852 7488/8417/6826 -f 7482/8418/6827 7490/8427/6853 7489/8428/6851 7481/8419/6849 -f 7483/8420/6828 7491/8429/6854 7490/8427/6853 7482/8418/6827 -f 7484/8421/6829 7492/8430/6855 7491/8429/6854 7483/8420/6828 -f 7485/8422/6850 7493/8431/6856 7492/8430/6855 7484/8421/6829 -f 7486/8423/6831 7494/8432/6839 7493/8431/6856 7485/8422/6850 -f 7487/8424/6832 7495/8433/6857 7494/8432/6839 7486/8423/6831 -f 7488/8417/6826 7496/8426/6852 7495/8433/6857 7487/8424/6832 -f 7489/8425/6851 7497/8434/6858 7504/8435/6859 7496/8426/6852 -f 7490/8427/6853 7498/8436/6860 7497/8437/6858 7489/8428/6851 -f 7491/8429/6854 7499/8438/6861 7498/8436/6860 7490/8427/6853 -f 7492/8430/6855 7500/8439/6862 7499/8438/6861 7491/8429/6854 -f 7493/8431/6856 7501/8440/6863 7500/8439/6862 7492/8430/6855 -f 7494/8432/6839 7502/8441/6864 7501/8440/6863 7493/8431/6856 -f 7495/8433/6857 7503/8442/6865 7502/8441/6864 7494/8432/6839 -f 7496/8426/6852 7504/8435/6859 7503/8442/6865 7495/8433/6857 -f 7505/8443/6866 7513/8444/6866 7520/8445/6867 7512/8446/6868 -f 7506/8447/6869 7514/8448/6869 7513/8449/6866 7505/8450/6866 -f 7507/8451/6870 7515/8452/6870 7514/8448/6869 7506/8447/6869 -f 7508/8453/6871 7516/8454/6871 7515/8452/6870 7507/8451/6870 -f 7509/8455/6872 7517/8456/6872 7516/8454/6871 7508/8453/6871 -f 7510/8457/6873 7518/8458/6873 7517/8456/6872 7509/8455/6872 -f 7511/8459/6874 7519/8460/6875 7518/8458/6873 7510/8457/6873 -f 7512/8446/6868 7520/8445/6867 7519/8460/6875 7511/8459/6874 -f 7513/8444/6866 7521/8461/6876 7528/8462/6877 7520/8445/6867 -f 7514/8448/6869 7522/8463/6878 7521/8464/6876 7513/8449/6866 -f 7515/8452/6870 7523/8465/6879 7522/8463/6878 7514/8448/6869 -f 7516/8454/6871 7524/8466/6880 7523/8465/6879 7515/8452/6870 -f 7517/8456/6872 7525/8467/6881 7524/8466/6880 7516/8454/6871 -f 7518/8458/6873 7526/8468/6882 7525/8467/6881 7517/8456/6872 -f 7519/8460/6875 7527/8469/6883 7526/8468/6882 7518/8458/6873 -f 7520/8445/6867 7528/8462/6877 7527/8469/6883 7519/8460/6875 -f 7521/8461/6876 7529/8470/6884 7536/8471/6885 7528/8462/6877 -f 7522/8463/6878 7530/8472/6886 7529/8473/6884 7521/8464/6876 -f 7523/8465/6879 7531/8474/6887 7530/8472/6886 7522/8463/6878 -f 7524/8466/6880 7532/8475/6888 7531/8474/6887 7523/8465/6879 -f 7525/8467/6881 7533/8476/6889 7532/8475/6888 7524/8466/6880 -f 7526/8468/6882 7534/8477/6890 7533/8476/6889 7525/8467/6881 -f 7527/8469/6883 7535/8478/6891 7534/8477/6890 7526/8468/6882 -f 7528/8462/6877 7536/8471/6885 7535/8478/6891 7527/8469/6883 -f 7529/8470/6884 7537/8479/6892 7544/8480/6893 7536/8471/6885 -f 7530/8472/6886 7538/8481/6894 7537/8482/6892 7529/8473/6884 -f 7531/8474/6887 7539/8483/6895 7538/8481/6894 7530/8472/6886 -f 7532/8475/6888 7540/8484/6896 7539/8483/6895 7531/8474/6887 -f 7533/8476/6889 7541/8485/6897 7540/8484/6896 7532/8475/6888 -f 7534/8477/6890 7542/8486/6898 7541/8485/6897 7533/8476/6889 -f 7535/8478/6891 7543/8487/6899 7542/8486/6898 7534/8477/6890 -f 7536/8471/6885 7544/8480/6893 7543/8487/6899 7535/8478/6891 -f 7537/8479/6892 7545/8488/6900 7552/8489/6901 7544/8480/6893 -f 7538/8481/6894 7546/8490/6902 7545/8491/6900 7537/8482/6892 -f 7539/8483/6895 7547/8492/6903 7546/8490/6902 7538/8481/6894 -f 7540/8484/6896 7548/8493/6904 7547/8492/6903 7539/8483/6895 -f 7541/8485/6897 7549/8494/6905 7548/8493/6904 7540/8484/6896 -f 7542/8486/6898 7550/8495/6906 7549/8494/6905 7541/8485/6897 -f 7543/8487/6899 7551/8496/6907 7550/8495/6906 7542/8486/6898 -f 7544/8480/6893 7552/8489/6901 7551/8496/6907 7543/8487/6899 -f 7545/8488/6900 7553/8497/6908 7560/8498/6909 7552/8489/6901 -f 7546/8490/6902 7554/8499/6910 7553/8500/6908 7545/8491/6900 -f 7547/8492/6903 7555/8501/6911 7554/8499/6910 7546/8490/6902 -f 7548/8493/6904 7556/8502/6912 7555/8501/6911 7547/8492/6903 -f 7549/8494/6905 7557/8503/6913 7556/8502/6912 7548/8493/6904 -f 7550/8495/6906 7558/8504/6914 7557/8503/6913 7549/8494/6905 -f 7551/8496/6907 7559/8505/6915 7558/8504/6914 7550/8495/6906 -f 7552/8489/6901 7560/8498/6909 7559/8505/6915 7551/8496/6907 -f 7553/8497/6908 7561/8506/6916 7568/8507/6893 7560/8498/6909 -f 7554/8499/6910 7562/8508/6917 7561/8509/6916 7553/8500/6908 -f 7555/8501/6911 7563/8510/6918 7562/8508/6917 7554/8499/6910 -f 7556/8502/6912 7564/8511/6896 7563/8510/6918 7555/8501/6911 -f 7557/8503/6913 7565/8512/6919 7564/8511/6896 7556/8502/6912 -f 7558/8504/6914 7566/8513/6920 7565/8512/6919 7557/8503/6913 -f 7559/8505/6915 7567/8514/6899 7566/8513/6920 7558/8504/6914 -f 7560/8498/6909 7568/8507/6893 7567/8514/6899 7559/8505/6915 -f 7561/8506/6916 7569/8515/6900 7576/8516/6901 7568/8507/6893 -f 7562/8508/6917 7570/8517/6921 7569/8518/6900 7561/8509/6916 -f 7563/8510/6918 7571/8519/6903 7570/8517/6921 7562/8508/6917 -f 7564/8511/6896 7572/8520/6904 7571/8519/6903 7563/8510/6918 -f 7565/8512/6919 7573/8521/6922 7572/8520/6904 7564/8511/6896 -f 7566/8513/6920 7574/8522/6923 7573/8521/6922 7565/8512/6919 -f 7567/8514/6899 7575/8523/6924 7574/8522/6923 7566/8513/6920 -f 7568/8507/6893 7576/8516/6901 7575/8523/6924 7567/8514/6899 -f 7569/8515/6900 7577/8524/6925 7584/8525/6926 7576/8516/6901 -f 7570/8517/6921 7578/8526/6910 7577/8527/6925 7569/8518/6900 -f 7571/8519/6903 7579/8528/6927 7578/8526/6910 7570/8517/6921 -f 7572/8520/6904 7580/8529/6912 7579/8528/6927 7571/8519/6903 -f 7573/8521/6922 7581/8530/6928 7580/8529/6912 7572/8520/6904 -f 7574/8522/6923 7582/8531/6929 7581/8530/6928 7573/8521/6922 -f 7575/8523/6924 7583/8532/6930 7582/8531/6929 7574/8522/6923 -f 7576/8516/6901 7584/8525/6926 7583/8532/6930 7575/8523/6924 -f 7585/8533/6931 7593/8534/6932 7600/8535/6933 7592/8536/6934 -f 7586/8537/6935 7594/8538/6936 7593/8539/6932 7585/8540/6931 -f 7587/8541/6937 7595/8542/6938 7594/8538/6936 7586/8537/6935 -f 7588/8543/6939 7596/8544/6940 7595/8542/6938 7587/8541/6937 -f 7589/8545/6941 7597/8546/6942 7596/8544/6940 7588/8543/6939 -f 7590/8547/6943 7598/8548/6944 7597/8546/6942 7589/8545/6941 -f 7591/8549/6945 7599/8550/6946 7598/8548/6944 7590/8547/6943 -f 7592/8536/6934 7600/8535/6933 7599/8550/6946 7591/8549/6945 -f 7593/8534/6932 7601/8551/6947 7608/8552/6948 7600/8535/6933 -f 7594/8538/6936 7602/8553/6949 7601/8554/6947 7593/8539/6932 -f 7595/8542/6938 7603/8555/6950 7602/8553/6949 7594/8538/6936 -f 7596/8544/6940 7604/8556/6951 7603/8555/6950 7595/8542/6938 -f 7597/8546/6942 7605/8557/6952 7604/8556/6951 7596/8544/6940 -f 7598/8548/6944 7606/8558/6953 7605/8557/6952 7597/8546/6942 -f 7599/8550/6946 7607/8559/6954 7606/8558/6953 7598/8548/6944 -f 7600/8535/6933 7608/8552/6948 7607/8559/6954 7599/8550/6946 -f 7601/8551/6947 7609/8560/6955 7616/8561/6956 7608/8552/6948 -f 7602/8553/6949 7610/8562/6957 7609/8563/6955 7601/8554/6947 -f 7603/8555/6950 7611/8564/6958 7610/8562/6957 7602/8553/6949 -f 7604/8556/6951 7612/8565/6959 7611/8564/6958 7603/8555/6950 -f 7605/8557/6952 7613/8566/6960 7612/8565/6959 7604/8556/6951 -f 7606/8558/6953 7614/8567/6961 7613/8566/6960 7605/8557/6952 -f 7607/8559/6954 7615/8568/6962 7614/8567/6961 7606/8558/6953 -f 7608/8552/6948 7616/8561/6956 7615/8568/6962 7607/8559/6954 -f 7609/8560/6955 7617/8569/6963 7624/8570/6934 7616/8561/6956 -f 7610/8562/6957 7618/8571/6964 7617/8572/6963 7609/8563/6955 -f 7611/8564/6958 7619/8573/6965 7618/8571/6964 7610/8562/6957 -f 7612/8565/6959 7620/8574/6966 7619/8573/6965 7611/8564/6958 -f 7613/8566/6960 7621/8575/6967 7620/8574/6966 7612/8565/6959 -f 7614/8567/6961 7622/8576/6968 7621/8575/6967 7613/8566/6960 -f 7615/8568/6962 7623/8577/6969 7622/8576/6968 7614/8567/6961 -f 7616/8561/6956 7624/8570/6934 7623/8577/6969 7615/8568/6962 -f 7617/8569/6963 7625/8578/6970 7632/8579/6971 7624/8570/6934 -f 7618/8571/6964 7626/8580/6972 7625/8581/6970 7617/8572/6963 -f 7619/8573/6965 7627/8582/6973 7626/8580/6972 7618/8571/6964 -f 7620/8574/6966 7628/8583/6974 7627/8582/6973 7619/8573/6965 -f 7621/8575/6967 7629/8584/6975 7628/8583/6974 7620/8574/6966 -f 7622/8576/6968 7630/8585/6976 7629/8584/6975 7621/8575/6967 -f 7623/8577/6969 7631/8586/6977 7630/8585/6976 7622/8576/6968 -f 7624/8570/6934 7632/8579/6971 7631/8586/6977 7623/8577/6969 -f 7625/8578/6970 7633/8587/6978 7640/8588/6979 7632/8579/6971 -f 7626/8580/6972 7634/8589/6980 7633/8590/6978 7625/8581/6970 -f 7627/8582/6973 7635/8591/6981 7634/8589/6980 7626/8580/6972 -f 7628/8583/6974 7636/8592/6982 7635/8591/6981 7627/8582/6973 -f 7629/8584/6975 7637/8593/6983 7636/8592/6982 7628/8583/6974 -f 7630/8585/6976 7638/8594/6984 7637/8593/6983 7629/8584/6975 -f 7631/8586/6977 7639/8595/6985 7638/8594/6984 7630/8585/6976 -f 7632/8579/6971 7640/8588/6979 7639/8595/6985 7631/8586/6977 -f 7633/8587/6978 7641/8596/6970 7648/8597/6986 7640/8588/6979 -f 7634/8589/6980 7642/8598/6987 7641/8599/6970 7633/8590/6978 -f 7635/8591/6981 7643/8600/6988 7642/8598/6987 7634/8589/6980 -f 7636/8592/6982 7644/8601/6974 7643/8600/6988 7635/8591/6981 -f 7637/8593/6983 7645/8602/6989 7644/8601/6974 7636/8592/6982 -f 7638/8594/6984 7646/8603/6968 7645/8602/6989 7637/8593/6983 -f 7639/8595/6985 7647/8604/6990 7646/8603/6968 7638/8594/6984 -f 7640/8588/6979 7648/8597/6986 7647/8604/6990 7639/8595/6985 -f 7641/8596/6970 7649/8605/6991 7656/8606/6992 7648/8597/6986 -f 7642/8598/6987 7650/8607/6993 7649/8608/6991 7641/8599/6970 -f 7643/8600/6988 7651/8609/6994 7650/8607/6993 7642/8598/6987 -f 7644/8601/6974 7652/8610/6966 7651/8609/6994 7643/8600/6988 -f 7645/8602/6989 7653/8611/6995 7652/8610/6966 7644/8601/6974 -f 7646/8603/6968 7654/8612/6968 7653/8611/6995 7645/8602/6989 -f 7647/8604/6990 7655/8613/6996 7654/8612/6968 7646/8603/6968 -f 7648/8597/6986 7656/8606/6992 7655/8613/6996 7647/8604/6990 -f 7649/8605/6991 7657/8614/6997 7664/8615/6956 7656/8606/6992 -f 7650/8607/6993 7658/8616/6998 7657/8617/6997 7649/8608/6991 -f 7651/8609/6994 7659/8618/6999 7658/8616/6998 7650/8607/6993 -f 7652/8610/6966 7660/8619/7000 7659/8618/6999 7651/8609/6994 -f 7653/8611/6995 7661/8620/7001 7660/8619/7000 7652/8610/6966 -f 7654/8612/6968 7662/8621/7002 7661/8620/7001 7653/8611/6995 -f 7655/8613/6996 7663/8622/7003 7662/8621/7002 7654/8612/6968 -f 7656/8606/6992 7664/8615/6956 7663/8622/7003 7655/8613/6996 -f 7665/8623/7004 7673/8624/7004 7680/8625/7005 7672/8626/7005 -f 7666/8627/7006 7674/8628/7006 7673/8629/7004 7665/8630/7004 -f 7667/8631/7007 7675/8632/7007 7674/8628/7006 7666/8627/7006 -f 7668/8633/7008 7676/8634/7008 7675/8632/7007 7667/8631/7007 -f 7669/8635/7009 7677/8636/7009 7676/8634/7008 7668/8633/7008 -f 7670/8637/7010 7678/8638/7010 7677/8636/7009 7669/8635/7009 -f 7671/8639/7011 7679/8640/7011 7678/8638/7010 7670/8637/7010 -f 7672/8626/7005 7680/8625/7005 7679/8640/7011 7671/8639/7011 -f 7673/8624/7004 7681/8641/7012 7688/8642/7013 7680/8625/7005 -f 7674/8628/7006 7682/8643/7014 7681/8644/7012 7673/8629/7004 -f 7675/8632/7007 7683/8645/7015 7682/8643/7014 7674/8628/7006 -f 7676/8634/7008 7684/8646/7016 7683/8645/7015 7675/8632/7007 -f 7677/8636/7009 7685/8647/7017 7684/8646/7016 7676/8634/7008 -f 7678/8638/7010 7686/8648/7018 7685/8647/7017 7677/8636/7009 -f 7679/8640/7011 7687/8649/7019 7686/8648/7018 7678/8638/7010 -f 7680/8625/7005 7688/8642/7013 7687/8649/7019 7679/8640/7011 -f 7681/8641/7012 7689/8650/7020 7696/8651/7021 7688/8642/7013 -f 7682/8643/7014 7690/8652/7022 7689/8653/7020 7681/8644/7012 -f 7683/8645/7015 7691/8654/7023 7690/8652/7022 7682/8643/7014 -f 7684/8646/7016 7692/8655/7024 7691/8654/7023 7683/8645/7015 -f 7685/8647/7017 7693/8656/7025 7692/8655/7024 7684/8646/7016 -f 7686/8648/7018 7694/8657/7026 7693/8656/7025 7685/8647/7017 -f 7687/8649/7019 7695/8658/7027 7694/8657/7026 7686/8648/7018 -f 7688/8642/7013 7696/8651/7021 7695/8658/7027 7687/8649/7019 -f 7689/8650/7020 7697/8659/7028 7704/8660/7029 7696/8651/7021 -f 7690/8652/7022 7698/8661/7030 7697/8662/7028 7689/8653/7020 -f 7691/8654/7023 7699/8663/7031 7698/8661/7030 7690/8652/7022 -f 7692/8655/7024 7700/8664/7032 7699/8663/7031 7691/8654/7023 -f 7693/8656/7025 7701/8665/7033 7700/8664/7032 7692/8655/7024 -f 7694/8657/7026 7702/8666/7034 7701/8665/7033 7693/8656/7025 -f 7695/8658/7027 7703/8667/7035 7702/8666/7034 7694/8657/7026 -f 7696/8651/7021 7704/8660/7029 7703/8667/7035 7695/8658/7027 -f 7697/8659/7028 7705/8668/7036 7712/8669/7037 7704/8660/7029 -f 7698/8661/7030 7706/8670/7038 7705/8671/7036 7697/8662/7028 -f 7699/8663/7031 7707/8672/7039 7706/8670/7038 7698/8661/7030 -f 7700/8664/7032 7708/8673/7040 7707/8672/7039 7699/8663/7031 -f 7701/8665/7033 7709/8674/7041 7708/8673/7040 7700/8664/7032 -f 7702/8666/7034 7710/8675/7042 7709/8674/7041 7701/8665/7033 -f 7703/8667/7035 7711/8676/7043 7710/8675/7042 7702/8666/7034 -f 7704/8660/7029 7712/8669/7037 7711/8676/7043 7703/8667/7035 -f 7705/8668/7036 7713/8677/7044 7720/8678/7045 7712/8669/7037 -f 7706/8670/7038 7714/8679/7046 7713/8680/7044 7705/8671/7036 -f 7707/8672/7039 7715/8681/7047 7714/8679/7046 7706/8670/7038 -f 7708/8673/7040 7716/8682/7048 7715/8681/7047 7707/8672/7039 -f 7709/8674/7041 7717/8683/7049 7716/8682/7048 7708/8673/7040 -f 7710/8675/7042 7718/8684/7050 7717/8683/7049 7709/8674/7041 -f 7711/8676/7043 7719/8685/7051 7718/8684/7050 7710/8675/7042 -f 7712/8669/7037 7720/8678/7045 7719/8685/7051 7711/8676/7043 -f 7713/8677/7044 7721/8686/7028 7728/8687/7029 7720/8678/7045 -f 7714/8679/7046 7722/8688/7052 7721/8689/7028 7713/8680/7044 -f 7715/8681/7047 7723/8690/7031 7722/8688/7052 7714/8679/7046 -f 7716/8682/7048 7724/8691/7053 7723/8690/7031 7715/8681/7047 -f 7717/8683/7049 7725/8692/7033 7724/8691/7053 7716/8682/7048 -f 7718/8684/7050 7726/8693/7034 7725/8692/7033 7717/8683/7049 -f 7719/8685/7051 7727/8694/7035 7726/8693/7034 7718/8684/7050 -f 7720/8678/7045 7728/8687/7029 7727/8694/7035 7719/8685/7051 -f 7721/8686/7028 7729/8695/7036 7736/8696/7037 7728/8687/7029 -f 7722/8688/7052 7730/8697/7054 7729/8698/7036 7721/8689/7028 -f 7723/8690/7031 7731/8699/7055 7730/8697/7054 7722/8688/7052 -f 7724/8691/7053 7732/8700/7040 7731/8699/7055 7723/8690/7031 -f 7725/8692/7033 7733/8701/7056 7732/8700/7040 7724/8691/7053 -f 7726/8693/7034 7734/8702/7057 7733/8701/7056 7725/8692/7033 -f 7727/8694/7035 7735/8703/7058 7734/8702/7057 7726/8693/7034 -f 7728/8687/7029 7736/8696/7037 7735/8703/7058 7727/8694/7035 -f 7729/8695/7036 7737/8704/7059 7744/8705/7045 7736/8696/7037 -f 7730/8697/7054 7738/8706/7060 7737/8707/7059 7729/8698/7036 -f 7731/8699/7055 7739/8708/7061 7738/8706/7060 7730/8697/7054 -f 7732/8700/7040 7740/8709/7062 7739/8708/7061 7731/8699/7055 -f 7733/8701/7056 7741/8710/7063 7740/8709/7062 7732/8700/7040 -f 7734/8702/7057 7742/8711/7064 7741/8710/7063 7733/8701/7056 -f 7735/8703/7058 7743/8712/7065 7742/8711/7064 7734/8702/7057 -f 7736/8696/7037 7744/8705/7045 7743/8712/7065 7735/8703/7058 -f 7745/8713/7066 7753/8714/7067 7760/8715/7068 7752/8716/7068 -f 7746/8717/7069 7754/8718/7069 7753/8719/7067 7745/8720/7066 -f 7747/8721/7070 7755/8722/7070 7754/8718/7069 7746/8717/7069 -f 7748/8723/7071 7756/8724/7071 7755/8722/7070 7747/8721/7070 -f 7749/8725/7072 7757/8726/7072 7756/8724/7071 7748/8723/7071 -f 7750/8727/7073 7758/8728/7073 7757/8726/7072 7749/8725/7072 -f 7751/8729/7074 7759/8730/7075 7758/8728/7073 7750/8727/7073 -f 7752/8716/7068 7760/8715/7068 7759/8730/7075 7751/8729/7074 -f 7753/8714/7067 7761/8731/7076 7768/8732/7077 7760/8715/7068 -f 7754/8718/7069 7762/8733/7078 7761/8734/7076 7753/8719/7067 -f 7755/8722/7070 7763/8735/7079 7762/8733/7078 7754/8718/7069 -f 7756/8724/7071 7764/8736/7080 7763/8735/7079 7755/8722/7070 -f 7757/8726/7072 7765/8737/7081 7764/8736/7080 7756/8724/7071 -f 7758/8728/7073 7766/8738/7082 7765/8737/7081 7757/8726/7072 -f 7759/8730/7075 7767/8739/7083 7766/8738/7082 7758/8728/7073 -f 7760/8715/7068 7768/8732/7077 7767/8739/7083 7759/8730/7075 -f 7761/8731/7076 7769/8740/7084 7776/8741/7085 7768/8732/7077 -f 7762/8733/7078 7770/8742/7086 7769/8743/7084 7761/8734/7076 -f 7763/8735/7079 7771/8744/7087 7770/8742/7086 7762/8733/7078 -f 7764/8736/7080 7772/8745/7088 7771/8744/7087 7763/8735/7079 -f 7765/8737/7081 7773/8746/7089 7772/8745/7088 7764/8736/7080 -f 7766/8738/7082 7774/8747/7090 7773/8746/7089 7765/8737/7081 -f 7767/8739/7083 7775/8748/7091 7774/8747/7090 7766/8738/7082 -f 7768/8732/7077 7776/8741/7085 7775/8748/7091 7767/8739/7083 -f 7769/8740/7084 7777/8749/7092 7784/8750/7093 7776/8741/7085 -f 7770/8742/7086 7778/8751/7094 7777/8752/7092 7769/8743/7084 -f 7771/8744/7087 7779/8753/7095 7778/8751/7094 7770/8742/7086 -f 7772/8745/7088 7780/8754/7096 7779/8753/7095 7771/8744/7087 -f 7773/8746/7089 7781/8755/7097 7780/8754/7096 7772/8745/7088 -f 7774/8747/7090 7782/8756/7098 7781/8755/7097 7773/8746/7089 -f 7775/8748/7091 7783/8757/7099 7782/8756/7098 7774/8747/7090 -f 7776/8741/7085 7784/8750/7093 7783/8757/7099 7775/8748/7091 -f 7777/8749/7092 7785/8758/7100 7792/8759/7101 7784/8750/7093 -f 7778/8751/7094 7786/8760/7102 7785/8761/7100 7777/8752/7092 -f 7779/8753/7095 7787/8762/7103 7786/8760/7102 7778/8751/7094 -f 7780/8754/7096 7788/8763/7104 7787/8762/7103 7779/8753/7095 -f 7781/8755/7097 7789/8764/7105 7788/8763/7104 7780/8754/7096 -f 7782/8756/7098 7790/8765/7106 7789/8764/7105 7781/8755/7097 -f 7783/8757/7099 7791/8766/7107 7790/8765/7106 7782/8756/7098 -f 7784/8750/7093 7792/8759/7101 7791/8766/7107 7783/8757/7099 -f 7785/8758/7100 7793/8767/7108 7800/8768/7109 7792/8759/7101 -f 7786/8760/7102 7794/8769/7110 7793/8770/7108 7785/8761/7100 -f 7787/8762/7103 7795/8771/7111 7794/8769/7110 7786/8760/7102 -f 7788/8763/7104 7796/8772/7112 7795/8771/7111 7787/8762/7103 -f 7789/8764/7105 7797/8773/7113 7796/8772/7112 7788/8763/7104 -f 7790/8765/7106 7798/8774/7114 7797/8773/7113 7789/8764/7105 -f 7791/8766/7107 7799/8775/7115 7798/8774/7114 7790/8765/7106 -f 7792/8759/7101 7800/8768/7109 7799/8775/7115 7791/8766/7107 -f 7793/8767/7108 7801/8776/7116 7808/8777/7093 7800/8768/7109 -f 7794/8769/7110 7802/8778/7094 7801/8779/7116 7793/8770/7108 -f 7795/8771/7111 7803/8780/7095 7802/8778/7094 7794/8769/7110 -f 7796/8772/7112 7804/8781/7117 7803/8780/7095 7795/8771/7111 -f 7797/8773/7113 7805/8782/7118 7804/8781/7117 7796/8772/7112 -f 7798/8774/7114 7806/8783/7119 7805/8782/7118 7797/8773/7113 -f 7799/8775/7115 7807/8784/7099 7806/8783/7119 7798/8774/7114 -f 7800/8768/7109 7808/8777/7093 7807/8784/7099 7799/8775/7115 -f 7801/8776/7116 7809/8785/7120 7816/8786/7101 7808/8777/7093 -f 7802/8778/7094 7810/8787/7121 7809/8788/7120 7801/8779/7116 -f 7803/8780/7095 7811/8789/7122 7810/8787/7121 7802/8778/7094 -f 7804/8781/7117 7812/8790/7104 7811/8789/7122 7803/8780/7095 -f 7805/8782/7118 7813/8791/7123 7812/8790/7104 7804/8781/7117 -f 7806/8783/7119 7814/8792/7106 7813/8791/7123 7805/8782/7118 -f 7807/8784/7099 7815/8793/7124 7814/8792/7106 7806/8783/7119 -f 7808/8777/7093 7816/8786/7101 7815/8793/7124 7807/8784/7099 -f 7809/8785/7120 7817/8794/7125 7824/8795/7126 7816/8786/7101 -f 7810/8787/7121 7818/8796/7110 7817/8797/7125 7809/8788/7120 -f 7811/8789/7122 7819/8798/7127 7818/8796/7110 7810/8787/7121 -f 7812/8790/7104 7820/8799/7128 7819/8798/7127 7811/8789/7122 -f 7813/8791/7123 7821/8800/7129 7820/8799/7128 7812/8790/7104 -f 7814/8792/7106 7822/8801/7130 7821/8800/7129 7813/8791/7123 -f 7815/8793/7124 7823/8802/7131 7822/8801/7130 7814/8792/7106 -f 7816/8786/7101 7824/8795/7126 7823/8802/7131 7815/8793/7124 -f 7825/8803/7132 7833/8804/7132 7840/8805/7133 7832/8806/7133 -f 7826/8807/7134 7834/8808/7135 7833/8809/7132 7825/8810/7132 -f 7827/8811/7136 7835/8812/7136 7834/8808/7135 7826/8807/7134 -f 7828/8813/7137 7836/8814/7138 7835/8812/7136 7827/8811/7136 -f 7829/8815/7139 7837/8816/7139 7836/8814/7138 7828/8813/7137 -f 7830/8817/7140 7838/8818/7141 7837/8816/7139 7829/8815/7139 -f 7831/8819/7142 7839/8820/7142 7838/8818/7141 7830/8817/7140 -f 7832/8806/7133 7840/8805/7133 7839/8820/7142 7831/8819/7142 -f 7833/8804/7132 7841/8821/7143 7848/8822/7144 7840/8805/7133 -f 7834/8808/7135 7842/8823/7145 7841/8824/7143 7833/8809/7132 -f 7835/8812/7136 7843/8825/7146 7842/8823/7145 7834/8808/7135 -f 7836/8814/7138 7844/8826/7147 7843/8825/7146 7835/8812/7136 -f 7837/8816/7139 7845/8827/7148 7844/8826/7147 7836/8814/7138 -f 7838/8818/7141 7846/8828/7149 7845/8827/7148 7837/8816/7139 -f 7839/8820/7142 7847/8829/7150 7846/8828/7149 7838/8818/7141 -f 7840/8805/7133 7848/8822/7144 7847/8829/7150 7839/8820/7142 -f 7841/8821/7143 7849/8830/7151 7856/8831/7152 7848/8822/7144 -f 7842/8823/7145 7850/8832/7153 7849/8833/7151 7841/8824/7143 -f 7843/8825/7146 7851/8834/7154 7850/8832/7153 7842/8823/7145 -f 7844/8826/7147 7852/8835/7155 7851/8834/7154 7843/8825/7146 -f 7845/8827/7148 7853/8836/7156 7852/8835/7155 7844/8826/7147 -f 7846/8828/7149 7854/8837/7157 7853/8836/7156 7845/8827/7148 -f 7847/8829/7150 7855/8838/7158 7854/8837/7157 7846/8828/7149 -f 7848/8822/7144 7856/8831/7152 7855/8838/7158 7847/8829/7150 -f 7849/8830/7151 7857/8839/7159 7864/8840/7160 7856/8831/7152 -f 7850/8832/7153 7858/8841/7161 7857/8842/7159 7849/8833/7151 -f 7851/8834/7154 7859/8843/7162 7858/8841/7161 7850/8832/7153 -f 7852/8835/7155 7860/8844/7163 7859/8843/7162 7851/8834/7154 -f 7853/8836/7156 7861/8845/7164 7860/8844/7163 7852/8835/7155 -f 7854/8837/7157 7862/8846/7165 7861/8845/7164 7853/8836/7156 -f 7855/8838/7158 7863/8847/7166 7862/8846/7165 7854/8837/7157 -f 7856/8831/7152 7864/8840/7160 7863/8847/7166 7855/8838/7158 -f 7857/8839/7159 7865/8848/7167 7872/8849/7168 7864/8840/7160 -f 7858/8841/7161 7866/8850/7169 7865/8851/7167 7857/8842/7159 -f 7859/8843/7162 7867/8852/7170 7866/8850/7169 7858/8841/7161 -f 7860/8844/7163 7868/8853/7171 7867/8852/7170 7859/8843/7162 -f 7861/8845/7164 7869/8854/7172 7868/8853/7171 7860/8844/7163 -f 7862/8846/7165 7870/8855/7173 7869/8854/7172 7861/8845/7164 -f 7863/8847/7166 7871/8856/7174 7870/8855/7173 7862/8846/7165 -f 7864/8840/7160 7872/8849/7168 7871/8856/7174 7863/8847/7166 -f 7865/8848/7167 7873/8857/7175 7880/8858/7176 7872/8849/7168 -f 7866/8850/7169 7874/8859/7177 7873/8860/7175 7865/8851/7167 -f 7867/8852/7170 7875/8861/7178 7874/8859/7177 7866/8850/7169 -f 7868/8853/7171 7876/8862/7179 7875/8861/7178 7867/8852/7170 -f 7869/8854/7172 7877/8863/7180 7876/8862/7179 7868/8853/7171 -f 7870/8855/7173 7878/8864/7181 7877/8863/7180 7869/8854/7172 -f 7871/8856/7174 7879/8865/7182 7878/8864/7181 7870/8855/7173 -f 7872/8849/7168 7880/8858/7176 7879/8865/7182 7871/8856/7174 -f 7873/8857/7175 7881/8866/7183 7888/8867/7184 7880/8858/7176 -f 7874/8859/7177 7882/8868/7161 7881/8869/7183 7873/8860/7175 -f 7875/8861/7178 7883/8870/7162 7882/8868/7161 7874/8859/7177 -f 7876/8862/7179 7884/8871/7185 7883/8870/7162 7875/8861/7178 -f 7877/8863/7180 7885/8872/7186 7884/8871/7185 7876/8862/7179 -f 7878/8864/7181 7886/8873/7187 7885/8872/7186 7877/8863/7180 -f 7879/8865/7182 7887/8874/7188 7886/8873/7187 7878/8864/7181 -f 7880/8858/7176 7888/8867/7184 7887/8874/7188 7879/8865/7182 -f 7881/8866/7183 7889/8875/7189 7896/8876/7168 7888/8867/7184 -f 7882/8868/7161 7890/8877/7190 7889/8878/7189 7881/8869/7183 -f 7883/8870/7162 7891/8879/7191 7890/8877/7190 7882/8868/7161 -f 7884/8871/7185 7892/8880/7192 7891/8879/7191 7883/8870/7162 -f 7885/8872/7186 7893/8881/7172 7892/8880/7192 7884/8871/7185 -f 7886/8873/7187 7894/8882/7173 7893/8881/7172 7885/8872/7186 -f 7887/8874/7188 7895/8883/7193 7894/8882/7173 7886/8873/7187 -f 7888/8867/7184 7896/8876/7168 7895/8883/7193 7887/8874/7188 -f 7889/8875/7189 7897/8884/7194 7904/8885/7195 7896/8876/7168 -f 7890/8877/7190 7898/8886/7196 7897/8887/7194 7889/8878/7189 -f 7891/8879/7191 7899/8888/7197 7898/8886/7196 7890/8877/7190 -f 7892/8880/7192 7900/8889/7179 7899/8888/7197 7891/8879/7191 -f 7893/8881/7172 7901/8890/7180 7900/8889/7179 7892/8880/7192 -f 7894/8882/7173 7902/8891/7198 7901/8890/7180 7893/8881/7172 -f 7895/8883/7193 7903/8892/7199 7902/8891/7198 7894/8882/7173 -f 7896/8876/7168 7904/8885/7195 7903/8892/7199 7895/8883/7193 -f 7905/8893/7200 7913/8894/7200 7920/8895/7201 7912/8896/7201 -f 7906/8897/7202 7914/8898/7202 7913/8899/7200 7905/8900/7200 -f 7907/8901/7203 7915/8902/7203 7914/8898/7202 7906/8897/7202 -f 7908/8903/7204 7916/8904/7204 7915/8902/7203 7907/8901/7203 -f 7909/8905/7205 7917/8906/7205 7916/8904/7204 7908/8903/7204 -f 7910/8907/7206 7918/8908/7206 7917/8906/7205 7909/8905/7205 -f 7911/8909/7207 7919/8910/7207 7918/8908/7206 7910/8907/7206 -f 7912/8896/7201 7920/8895/7201 7919/8910/7207 7911/8909/7207 -f 7913/8894/7200 7921/8911/7208 7928/8912/7209 7920/8895/7201 -f 7914/8898/7202 7922/8913/7210 7921/8914/7208 7913/8899/7200 -f 7915/8902/7203 7923/8915/7211 7922/8913/7210 7914/8898/7202 -f 7916/8904/7204 7924/8916/7212 7923/8915/7211 7915/8902/7203 -f 7917/8906/7205 7925/8917/7213 7924/8916/7212 7916/8904/7204 -f 7918/8908/7206 7926/8918/7214 7925/8917/7213 7917/8906/7205 -f 7919/8910/7207 7927/8919/7215 7926/8918/7214 7918/8908/7206 -f 7920/8895/7201 7928/8912/7209 7927/8919/7215 7919/8910/7207 -f 7921/8911/7208 7929/8920/7216 7936/8921/7217 7928/8912/7209 -f 7922/8913/7210 7930/8922/7218 7929/8923/7216 7921/8914/7208 -f 7923/8915/7211 7931/8924/7219 7930/8922/7218 7922/8913/7210 -f 7924/8916/7212 7932/8925/7220 7931/8924/7219 7923/8915/7211 -f 7925/8917/7213 7933/8926/7221 7932/8925/7220 7924/8916/7212 -f 7926/8918/7214 7934/8927/7222 7933/8926/7221 7925/8917/7213 -f 7927/8919/7215 7935/8928/7223 7934/8927/7222 7926/8918/7214 -f 7928/8912/7209 7936/8921/7217 7935/8928/7223 7927/8919/7215 -f 7929/8920/7216 7937/8929/7224 7944/8930/7225 7936/8921/7217 -f 7930/8922/7218 7938/8931/7226 7937/8932/7224 7929/8923/7216 -f 7931/8924/7219 7939/8933/7227 7938/8931/7226 7930/8922/7218 -f 7932/8925/7220 7940/8934/7228 7939/8933/7227 7931/8924/7219 -f 7933/8926/7221 7941/8935/7229 7940/8934/7228 7932/8925/7220 -f 7934/8927/7222 7942/8936/7230 7941/8935/7229 7933/8926/7221 -f 7935/8928/7223 7943/8937/7231 7942/8936/7230 7934/8927/7222 -f 7936/8921/7217 7944/8930/7225 7943/8937/7231 7935/8928/7223 -f 7937/8929/7224 7945/8938/7232 7952/8939/7233 7944/8930/7225 -f 7938/8931/7226 7946/8940/7234 7945/8941/7232 7937/8932/7224 -f 7939/8933/7227 7947/8942/7235 7946/8940/7234 7938/8931/7226 -f 7940/8934/7228 7948/8943/7236 7947/8942/7235 7939/8933/7227 -f 7941/8935/7229 7949/8944/7237 7948/8943/7236 7940/8934/7228 -f 7942/8936/7230 7950/8945/7238 7949/8944/7237 7941/8935/7229 -f 7943/8937/7231 7951/8946/7239 7950/8945/7238 7942/8936/7230 -f 7944/8930/7225 7952/8939/7233 7951/8946/7239 7943/8937/7231 -f 7945/8938/7232 7953/8947/7240 7960/8948/7241 7952/8939/7233 -f 7946/8940/7234 7954/8949/7242 7953/8950/7240 7945/8941/7232 -f 7947/8942/7235 7955/8951/7243 7954/8949/7242 7946/8940/7234 -f 7948/8943/7236 7956/8952/7244 7955/8951/7243 7947/8942/7235 -f 7949/8944/7237 7957/8953/7245 7956/8952/7244 7948/8943/7236 -f 7950/8945/7238 7958/8954/7246 7957/8953/7245 7949/8944/7237 -f 7951/8946/7239 7959/8955/7247 7958/8954/7246 7950/8945/7238 -f 7952/8939/7233 7960/8948/7241 7959/8955/7247 7951/8946/7239 -f 7953/8947/7240 7961/8956/7224 7968/8957/7248 7960/8948/7241 -f 7954/8949/7242 7962/8958/7226 7961/8959/7224 7953/8950/7240 -f 7955/8951/7243 7963/8960/7227 7962/8958/7226 7954/8949/7242 -f 7956/8952/7244 7964/8961/7228 7963/8960/7227 7955/8951/7243 -f 7957/8953/7245 7965/8962/7229 7964/8961/7228 7956/8952/7244 -f 7958/8954/7246 7966/8963/7230 7965/8962/7229 7957/8953/7245 -f 7959/8955/7247 7967/8964/7249 7966/8963/7230 7958/8954/7246 -f 7960/8948/7241 7968/8957/7248 7967/8964/7249 7959/8955/7247 -f 7961/8956/7224 7969/8965/7232 7976/8966/7233 7968/8957/7248 -f 7962/8958/7226 7970/8967/7250 7969/8968/7232 7961/8959/7224 -f 7963/8960/7227 7971/8969/7251 7970/8967/7250 7962/8958/7226 -f 7964/8961/7228 7972/8970/7236 7971/8969/7251 7963/8960/7227 -f 7965/8962/7229 7973/8971/7237 7972/8970/7236 7964/8961/7228 -f 7966/8963/7230 7974/8972/7238 7973/8971/7237 7965/8962/7229 -f 7967/8964/7249 7975/8973/7252 7974/8972/7238 7966/8963/7230 -f 7968/8957/7248 7976/8966/7233 7975/8973/7252 7967/8964/7249 -f 7969/8965/7232 7977/8974/7253 7984/8975/7254 7976/8966/7233 -f 7970/8967/7250 7978/8976/7255 7977/8977/7253 7969/8968/7232 -f 7971/8969/7251 7979/8978/7256 7978/8976/7255 7970/8967/7250 -f 7972/8970/7236 7980/8979/7257 7979/8978/7256 7971/8969/7251 -f 7973/8971/7237 7981/8980/7258 7980/8979/7257 7972/8970/7236 -f 7974/8972/7238 7982/8981/7246 7981/8980/7258 7973/8971/7237 -f 7975/8973/7252 7983/8982/7259 7982/8981/7246 7974/8972/7238 -f 7976/8966/7233 7984/8975/7254 7983/8982/7259 7975/8973/7252 -f 7985/8983/7260 7993/8984/7260 8000/8985/7261 7992/8986/7261 -f 7986/8987/7262 7994/8988/7262 7993/8989/7260 7985/8990/7260 -f 7987/8991/7263 7995/8992/7264 7994/8988/7262 7986/8987/7262 -f 7988/8993/7265 7996/8994/7265 7995/8992/7264 7987/8991/7263 -f 7989/8995/7266 7997/8996/7266 7996/8994/7265 7988/8993/7265 -f 7990/8997/7267 7998/8998/7267 7997/8996/7266 7989/8995/7266 -f 7991/8999/7268 7999/9000/7268 7998/8998/7267 7990/8997/7267 -f 7992/8986/7261 8000/8985/7261 7999/9000/7268 7991/8999/7268 -f 7993/8984/7260 8001/9001/7269 8008/9002/7270 8000/8985/7261 -f 7994/8988/7262 8002/9003/7271 8001/9004/7269 7993/8989/7260 -f 7995/8992/7264 8003/9005/7272 8002/9003/7271 7994/8988/7262 -f 7996/8994/7265 8004/9006/7273 8003/9005/7272 7995/8992/7264 -f 7997/8996/7266 8005/9007/7274 8004/9006/7273 7996/8994/7265 -f 7998/8998/7267 8006/9008/7275 8005/9007/7274 7997/8996/7266 -f 7999/9000/7268 8007/9009/7276 8006/9008/7275 7998/8998/7267 -f 8000/8985/7261 8008/9002/7270 8007/9009/7276 7999/9000/7268 -f 8001/9001/7269 8009/9010/7277 8016/9011/7278 8008/9002/7270 -f 8002/9003/7271 8010/9012/7279 8009/9013/7277 8001/9004/7269 -f 8003/9005/7272 8011/9014/7280 8010/9012/7279 8002/9003/7271 -f 8004/9006/7273 8012/9015/7281 8011/9014/7280 8003/9005/7272 -f 8005/9007/7274 8013/9016/7282 8012/9015/7281 8004/9006/7273 -f 8006/9008/7275 8014/9017/7283 8013/9016/7282 8005/9007/7274 -f 8007/9009/7276 8015/9018/7284 8014/9017/7283 8006/9008/7275 -f 8008/9002/7270 8016/9011/7278 8015/9018/7284 8007/9009/7276 -f 8009/9010/7277 8017/9019/7285 8024/9020/7286 8016/9011/7278 -f 8010/9012/7279 8018/9021/7287 8017/9022/7285 8009/9013/7277 -f 8011/9014/7280 8019/9023/7288 8018/9021/7287 8010/9012/7279 -f 8012/9015/7281 8020/9024/7289 8019/9023/7288 8011/9014/7280 -f 8013/9016/7282 8021/9025/7290 8020/9024/7289 8012/9015/7281 -f 8014/9017/7283 8022/9026/7291 8021/9025/7290 8013/9016/7282 -f 8015/9018/7284 8023/9027/7292 8022/9026/7291 8014/9017/7283 -f 8016/9011/7278 8024/9020/7286 8023/9027/7292 8015/9018/7284 -f 8017/9019/7285 8025/9028/7293 8032/9029/7294 8024/9020/7286 -f 8018/9021/7287 8026/9030/7295 8025/9031/7293 8017/9022/7285 -f 8019/9023/7288 8027/9032/7296 8026/9030/7295 8018/9021/7287 -f 8020/9024/7289 8028/9033/7297 8027/9032/7296 8019/9023/7288 -f 8021/9025/7290 8029/9034/7298 8028/9033/7297 8020/9024/7289 -f 8022/9026/7291 8030/9035/7299 8029/9034/7298 8021/9025/7290 -f 8023/9027/7292 8031/9036/7300 8030/9035/7299 8022/9026/7291 -f 8024/9020/7286 8032/9029/7294 8031/9036/7300 8023/9027/7292 -f 8025/9028/7293 8033/9037/7301 8040/9038/7302 8032/9029/7294 -f 8026/9030/7295 8034/9039/7303 8033/9040/7301 8025/9031/7293 -f 8027/9032/7296 8035/9041/7304 8034/9039/7303 8026/9030/7295 -f 8028/9033/7297 8036/9042/7305 8035/9041/7304 8027/9032/7296 -f 8029/9034/7298 8037/9043/7306 8036/9042/7305 8028/9033/7297 -f 8030/9035/7299 8038/9044/7307 8037/9043/7306 8029/9034/7298 -f 8031/9036/7300 8039/9045/7308 8038/9044/7307 8030/9035/7299 -f 8032/9029/7294 8040/9038/7302 8039/9045/7308 8031/9036/7300 -f 8033/9037/7301 8041/9046/7309 8048/9047/7310 8040/9038/7302 -f 8034/9039/7303 8042/9048/7311 8041/9049/7309 8033/9040/7301 -f 8035/9041/7304 8043/9050/7312 8042/9048/7311 8034/9039/7303 -f 8036/9042/7305 8044/9051/7313 8043/9050/7312 8035/9041/7304 -f 8037/9043/7306 8045/9052/7314 8044/9051/7313 8036/9042/7305 -f 8038/9044/7307 8046/9053/7315 8045/9052/7314 8037/9043/7306 -f 8039/9045/7308 8047/9054/7316 8046/9053/7315 8038/9044/7307 -f 8040/9038/7302 8048/9047/7310 8047/9054/7316 8039/9045/7308 -f 8041/9046/7309 8049/9055/7317 8056/9056/7318 8048/9047/7310 -f 8042/9048/7311 8050/9057/7319 8049/9058/7317 8041/9049/7309 -f 8043/9050/7312 8051/9059/7320 8050/9057/7319 8042/9048/7311 -f 8044/9051/7313 8052/9060/7321 8051/9059/7320 8043/9050/7312 -f 8045/9052/7314 8053/9061/7322 8052/9060/7321 8044/9051/7313 -f 8046/9053/7315 8054/9062/7323 8053/9061/7322 8045/9052/7314 -f 8047/9054/7316 8055/9063/7324 8054/9062/7323 8046/9053/7315 -f 8048/9047/7310 8056/9056/7318 8055/9063/7324 8047/9054/7316 -f 8049/9055/7317 8057/9064/7325 8064/9065/7326 8056/9056/7318 -f 8050/9057/7319 8058/9066/7327 8057/9067/7325 8049/9058/7317 -f 8051/9059/7320 8059/9068/7328 8058/9066/7327 8050/9057/7319 -f 8052/9060/7321 8060/9069/7329 8059/9068/7328 8051/9059/7320 -f 8053/9061/7322 8061/9070/7330 8060/9069/7329 8052/9060/7321 -f 8054/9062/7323 8062/9071/7331 8061/9070/7330 8053/9061/7322 -f 8055/9063/7324 8063/9072/7332 8062/9071/7331 8054/9062/7323 -f 8056/9056/7318 8064/9065/7326 8063/9072/7332 8055/9063/7324 -f 8065/9073/7333 8073/9074/7334 8080/9075/7335 8072/9076/7335 -f 8066/9077/7336 8074/9078/7337 8073/9079/7334 8065/9080/7333 -f 8067/9081/7338 8075/9082/7338 8074/9078/7337 8066/9077/7336 -f 8068/9083/7339 8076/9084/7339 8075/9082/7338 8067/9081/7338 -f 8069/9085/7340 8077/9086/7340 8076/9084/7339 8068/9083/7339 -f 8070/9087/7341 8078/9088/7341 8077/9086/7340 8069/9085/7340 -f 8071/9089/7342 8079/9090/7342 8078/9088/7341 8070/9087/7341 -f 8072/9076/7335 8080/9075/7335 8079/9090/7342 8071/9089/7342 -f 8073/9074/7334 8081/9091/7343 8088/9092/7344 8080/9075/7335 -f 8074/9078/7337 8082/9093/7345 8081/9094/7343 8073/9079/7334 -f 8075/9082/7338 8083/9095/7346 8082/9093/7345 8074/9078/7337 -f 8076/9084/7339 8084/9096/7347 8083/9095/7346 8075/9082/7338 -f 8077/9086/7340 8085/9097/7348 8084/9096/7347 8076/9084/7339 -f 8078/9088/7341 8086/9098/7349 8085/9097/7348 8077/9086/7340 -f 8079/9090/7342 8087/9099/7350 8086/9098/7349 8078/9088/7341 -f 8080/9075/7335 8088/9092/7344 8087/9099/7350 8079/9090/7342 -f 8081/9091/7343 8089/9100/7351 8096/9101/7352 8088/9092/7344 -f 8082/9093/7345 8090/9102/7353 8089/9103/7351 8081/9094/7343 -f 8083/9095/7346 8091/9104/7354 8090/9102/7353 8082/9093/7345 -f 8084/9096/7347 8092/9105/7355 8091/9104/7354 8083/9095/7346 -f 8085/9097/7348 8093/9106/7356 8092/9105/7355 8084/9096/7347 -f 8086/9098/7349 8094/9107/7357 8093/9106/7356 8085/9097/7348 -f 8087/9099/7350 8095/9108/7358 8094/9107/7357 8086/9098/7349 -f 8088/9092/7344 8096/9101/7352 8095/9108/7358 8087/9099/7350 -f 8089/9100/7351 8097/9109/7359 8104/9110/7360 8096/9101/7352 -f 8090/9102/7353 8098/9111/7361 8097/9112/7359 8089/9103/7351 -f 8091/9104/7354 8099/9113/7362 8098/9111/7361 8090/9102/7353 -f 8092/9105/7355 8100/9114/7363 8099/9113/7362 8091/9104/7354 -f 8093/9106/7356 8101/9115/7364 8100/9114/7363 8092/9105/7355 -f 8094/9107/7357 8102/9116/7365 8101/9115/7364 8093/9106/7356 -f 8095/9108/7358 8103/9117/7366 8102/9116/7365 8094/9107/7357 -f 8096/9101/7352 8104/9110/7360 8103/9117/7366 8095/9108/7358 -f 8097/9109/7359 8105/9118/7367 8112/9119/7368 8104/9110/7360 -f 8098/9111/7361 8106/9120/7369 8105/9121/7367 8097/9112/7359 -f 8099/9113/7362 8107/9122/7370 8106/9120/7369 8098/9111/7361 -f 8100/9114/7363 8108/9123/7371 8107/9122/7370 8099/9113/7362 -f 8101/9115/7364 8109/9124/7372 8108/9123/7371 8100/9114/7363 -f 8102/9116/7365 8110/9125/7373 8109/9124/7372 8101/9115/7364 -f 8103/9117/7366 8111/9126/7374 8110/9125/7373 8102/9116/7365 -f 8104/9110/7360 8112/9119/7368 8111/9126/7374 8103/9117/7366 -f 8105/9118/7367 8113/9127/7375 8120/9128/7376 8112/9119/7368 -f 8106/9120/7369 8114/9129/7377 8113/9130/7375 8105/9121/7367 -f 8107/9122/7370 8115/9131/7378 8114/9129/7377 8106/9120/7369 -f 8108/9123/7371 8116/9132/7379 8115/9131/7378 8107/9122/7370 -f 8109/9124/7372 8117/9133/7380 8116/9132/7379 8108/9123/7371 -f 8110/9125/7373 8118/9134/7381 8117/9133/7380 8109/9124/7372 -f 8111/9126/7374 8119/9135/7382 8118/9134/7381 8110/9125/7373 -f 8112/9119/7368 8120/9128/7376 8119/9135/7382 8111/9126/7374 -f 8113/9127/7375 8121/9136/7383 8128/9137/7360 8120/9128/7376 -f 8114/9129/7377 8122/9138/7361 8121/9139/7383 8113/9130/7375 -f 8115/9131/7378 8123/9140/7362 8122/9138/7361 8114/9129/7377 -f 8116/9132/7379 8124/9141/7363 8123/9140/7362 8115/9131/7378 -f 8117/9133/7380 8125/9142/7364 8124/9141/7363 8116/9132/7379 -f 8118/9134/7381 8126/9143/7365 8125/9142/7364 8117/9133/7380 -f 8119/9135/7382 8127/9144/7384 8126/9143/7365 8118/9134/7381 -f 8120/9128/7376 8128/9137/7360 8127/9144/7384 8119/9135/7382 -f 8121/9136/7383 8129/9145/7385 8136/9146/7386 8128/9137/7360 -f 8122/9138/7361 8130/9147/7387 8129/9148/7385 8121/9139/7383 -f 8123/9140/7362 8131/9149/7388 8130/9147/7387 8122/9138/7361 -f 8124/9141/7363 8132/9150/7389 8131/9149/7388 8123/9140/7362 -f 8125/9142/7364 8133/9151/7390 8132/9150/7389 8124/9141/7363 -f 8126/9143/7365 8134/9152/7373 8133/9151/7390 8125/9142/7364 -f 8127/9144/7384 8135/9153/7391 8134/9152/7373 8126/9143/7365 -f 8128/9137/7360 8136/9146/7386 8135/9153/7391 8127/9144/7384 -f 8129/9145/7385 8137/9154/7392 8144/9155/7393 8136/9146/7386 -f 8130/9147/7387 8138/9156/7394 8137/9157/7392 8129/9148/7385 -f 8131/9149/7388 8139/9158/7395 8138/9156/7394 8130/9147/7387 -f 8132/9150/7389 8140/9159/7379 8139/9158/7395 8131/9149/7388 -f 8133/9151/7390 8141/9160/7396 8140/9159/7379 8132/9150/7389 -f 8134/9152/7373 8142/9161/7397 8141/9160/7396 8133/9151/7390 -f 8135/9153/7391 8143/9162/7398 8142/9161/7397 8134/9152/7373 -f 8136/9146/7386 8144/9155/7393 8143/9162/7398 8135/9153/7391 -f 8145/9163/7399 8153/9164/7399 8160/9165/7400 8152/9166/7400 -f 8146/9167/7401 8154/9168/7401 8153/9169/7399 8145/9170/7399 -f 8147/9171/7402 8155/9172/7403 8154/9168/7401 8146/9167/7401 -f 8148/9173/7404 8156/9174/7404 8155/9172/7403 8147/9171/7402 -f 8149/9175/7405 8157/9176/7406 8156/9174/7404 8148/9173/7404 -f 8150/9177/7407 8158/9178/7407 8157/9176/7406 8149/9175/7405 -f 8151/9179/7408 8159/9180/7409 8158/9178/7407 8150/9177/7407 -f 8152/9166/7400 8160/9165/7400 8159/9180/7409 8151/9179/7408 -f 8153/9164/7399 8161/9181/7410 8168/9182/7411 8160/9165/7400 -f 8154/9168/7401 8162/9183/7412 8161/9184/7410 8153/9169/7399 -f 8155/9172/7403 8163/9185/7413 8162/9183/7412 8154/9168/7401 -f 8156/9174/7404 8164/9186/7414 8163/9185/7413 8155/9172/7403 -f 8157/9176/7406 8165/9187/7415 8164/9186/7414 8156/9174/7404 -f 8158/9178/7407 8166/9188/7416 8165/9187/7415 8157/9176/7406 -f 8159/9180/7409 8167/9189/7417 8166/9188/7416 8158/9178/7407 -f 8160/9165/7400 8168/9182/7411 8167/9189/7417 8159/9180/7409 -f 8161/9181/7410 8169/9190/7418 8176/9191/7419 8168/9182/7411 -f 8162/9183/7412 8170/9192/7420 8169/9193/7418 8161/9184/7410 -f 8163/9185/7413 8171/9194/7421 8170/9192/7420 8162/9183/7412 -f 8164/9186/7414 8172/9195/7422 8171/9194/7421 8163/9185/7413 -f 8165/9187/7415 8173/9196/7423 8172/9195/7422 8164/9186/7414 -f 8166/9188/7416 8174/9197/7424 8173/9196/7423 8165/9187/7415 -f 8167/9189/7417 8175/9198/7425 8174/9197/7424 8166/9188/7416 -f 8168/9182/7411 8176/9191/7419 8175/9198/7425 8167/9189/7417 -f 8169/9190/7418 8177/9199/7426 8184/9200/7427 8176/9191/7419 -f 8170/9192/7420 8178/9201/7428 8177/9202/7426 8169/9193/7418 -f 8171/9194/7421 8179/9203/7429 8178/9201/7428 8170/9192/7420 -f 8172/9195/7422 8180/9204/7430 8179/9203/7429 8171/9194/7421 -f 8173/9196/7423 8181/9205/7431 8180/9204/7430 8172/9195/7422 -f 8174/9197/7424 8182/9206/7432 8181/9205/7431 8173/9196/7423 -f 8175/9198/7425 8183/9207/7433 8182/9206/7432 8174/9197/7424 -f 8176/9191/7419 8184/9200/7427 8183/9207/7433 8175/9198/7425 -f 8177/9199/7426 8185/9208/7434 8192/9209/7435 8184/9200/7427 -f 8178/9201/7428 8186/9210/7436 8185/9211/7434 8177/9202/7426 -f 8179/9203/7429 8187/9212/7437 8186/9210/7436 8178/9201/7428 -f 8180/9204/7430 8188/9213/7438 8187/9212/7437 8179/9203/7429 -f 8181/9205/7431 8189/9214/7439 8188/9213/7438 8180/9204/7430 -f 8182/9206/7432 8190/9215/7440 8189/9214/7439 8181/9205/7431 -f 8183/9207/7433 8191/9216/7441 8190/9215/7440 8182/9206/7432 -f 8184/9200/7427 8192/9209/7435 8191/9216/7441 8183/9207/7433 -f 8185/9208/7434 8193/9217/7442 8200/9218/7443 8192/9209/7435 -f 8186/9210/7436 8194/9219/7444 8193/9220/7442 8185/9211/7434 -f 8187/9212/7437 8195/9221/7445 8194/9219/7444 8186/9210/7436 -f 8188/9213/7438 8196/9222/7446 8195/9221/7445 8187/9212/7437 -f 8189/9214/7439 8197/9223/7447 8196/9222/7446 8188/9213/7438 -f 8190/9215/7440 8198/9224/7448 8197/9223/7447 8189/9214/7439 -f 8191/9216/7441 8199/9225/7449 8198/9224/7448 8190/9215/7440 -f 8192/9209/7435 8200/9218/7443 8199/9225/7449 8191/9216/7441 -f 8193/9217/7442 8201/9226/7450 8208/9227/7427 8200/9218/7443 -f 8194/9219/7444 8202/9228/7451 8201/9229/7450 8193/9220/7442 -f 8195/9221/7445 8203/9230/7452 8202/9228/7451 8194/9219/7444 -f 8196/9222/7446 8204/9231/7430 8203/9230/7452 8195/9221/7445 -f 8197/9223/7447 8205/9232/7431 8204/9231/7430 8196/9222/7446 -f 8198/9224/7448 8206/9233/7432 8205/9232/7431 8197/9223/7447 -f 8199/9225/7449 8207/9234/7433 8206/9233/7432 8198/9224/7448 -f 8200/9218/7443 8208/9227/7427 8207/9234/7433 8199/9225/7449 -f 8201/9226/7450 8209/9235/7453 8216/9236/7435 8208/9227/7427 -f 8202/9228/7451 8210/9237/7454 8209/9238/7453 8201/9229/7450 -f 8203/9230/7452 8211/9239/7455 8210/9237/7454 8202/9228/7451 -f 8204/9231/7430 8212/9240/7456 8211/9239/7455 8203/9230/7452 -f 8205/9232/7431 8213/9241/7457 8212/9240/7456 8204/9231/7430 -f 8206/9233/7432 8214/9242/7440 8213/9241/7457 8205/9232/7431 -f 8207/9234/7433 8215/9243/7458 8214/9242/7440 8206/9233/7432 -f 8208/9227/7427 8216/9236/7435 8215/9243/7458 8207/9234/7433 -f 8209/9235/7453 8217/9244/7459 8224/9245/7443 8216/9236/7435 -f 8210/9237/7454 8218/9246/7444 8217/9247/7459 8209/9238/7453 -f 8211/9239/7455 8219/9248/7460 8218/9246/7444 8210/9237/7454 -f 8212/9240/7456 8220/9249/7446 8219/9248/7460 8211/9239/7455 -f 8213/9241/7457 8221/9250/7461 8220/9249/7446 8212/9240/7456 -f 8214/9242/7440 8222/9251/7448 8221/9250/7461 8213/9241/7457 -f 8215/9243/7458 8223/9252/7462 8222/9251/7448 8214/9242/7440 -f 8216/9236/7435 8224/9245/7443 8223/9252/7462 8215/9243/7458 -f 8225/9253/7463 8233/9254/7463 8240/9255/7464 8232/9256/7465 -f 8226/9257/7466 8234/9258/7466 8233/9259/7463 8225/9260/7463 -f 8227/9261/7467 8235/9262/7467 8234/9258/7466 8226/9257/7466 -f 8228/9263/7468 8236/9264/7469 8235/9262/7467 8227/9261/7467 -f 8229/9265/7470 8237/9266/7470 8236/9264/7469 8228/9263/7468 -f 8230/9267/7471 8238/9268/7471 8237/9266/7470 8229/9265/7470 -f 8231/9269/7472 8239/9270/7472 8238/9268/7471 8230/9267/7471 -f 8232/9256/7465 8240/9255/7464 8239/9270/7472 8231/9269/7472 -f 8233/9254/7463 8241/9271/7473 8248/9272/7474 8240/9255/7464 -f 8234/9258/7466 8242/9273/7475 8241/9274/7473 8233/9259/7463 -f 8235/9262/7467 8243/9275/7476 8242/9273/7475 8234/9258/7466 -f 8236/9264/7469 8244/9276/7477 8243/9275/7476 8235/9262/7467 -f 8237/9266/7470 8245/9277/7478 8244/9276/7477 8236/9264/7469 -f 8238/9268/7471 8246/9278/7479 8245/9277/7478 8237/9266/7470 -f 8239/9270/7472 8247/9279/7480 8246/9278/7479 8238/9268/7471 -f 8240/9255/7464 8248/9272/7474 8247/9279/7480 8239/9270/7472 -f 8241/9271/7473 8249/9280/7481 8256/9281/7482 8248/9272/7474 -f 8242/9273/7475 8250/9282/7483 8249/9283/7481 8241/9274/7473 -f 8243/9275/7476 8251/9284/7484 8250/9282/7483 8242/9273/7475 -f 8244/9276/7477 8252/9285/7485 8251/9284/7484 8243/9275/7476 -f 8245/9277/7478 8253/9286/7486 8252/9285/7485 8244/9276/7477 -f 8246/9278/7479 8254/9287/7487 8253/9286/7486 8245/9277/7478 -f 8247/9279/7480 8255/9288/7488 8254/9287/7487 8246/9278/7479 -f 8248/9272/7474 8256/9281/7482 8255/9288/7488 8247/9279/7480 -f 8249/9280/7481 8257/9289/7489 8264/9290/7490 8256/9281/7482 -f 8250/9282/7483 8258/9291/7491 8257/9292/7489 8249/9283/7481 -f 8251/9284/7484 8259/9293/7492 8258/9291/7491 8250/9282/7483 -f 8252/9285/7485 8260/9294/7493 8259/9293/7492 8251/9284/7484 -f 8253/9286/7486 8261/9295/7494 8260/9294/7493 8252/9285/7485 -f 8254/9287/7487 8262/9296/7495 8261/9295/7494 8253/9286/7486 -f 8255/9288/7488 8263/9297/7496 8262/9296/7495 8254/9287/7487 -f 8256/9281/7482 8264/9290/7490 8263/9297/7496 8255/9288/7488 -f 8257/9289/7489 8265/9298/7497 8272/9299/7498 8264/9290/7490 -f 8258/9291/7491 8266/9300/7499 8265/9301/7497 8257/9292/7489 -f 8259/9293/7492 8267/9302/7500 8266/9300/7499 8258/9291/7491 -f 8260/9294/7493 8268/9303/7501 8267/9302/7500 8259/9293/7492 -f 8261/9295/7494 8269/9304/7502 8268/9303/7501 8260/9294/7493 -f 8262/9296/7495 8270/9305/7503 8269/9304/7502 8261/9295/7494 -f 8263/9297/7496 8271/9306/7504 8270/9305/7503 8262/9296/7495 -f 8264/9290/7490 8272/9299/7498 8271/9306/7504 8263/9297/7496 -f 8265/9298/7497 8273/9307/7505 8280/9308/7506 8272/9299/7498 -f 8266/9300/7499 8274/9309/7507 8273/9310/7505 8265/9301/7497 -f 8267/9302/7500 8275/9311/7508 8274/9309/7507 8266/9300/7499 -f 8268/9303/7501 8276/9312/7509 8275/9311/7508 8267/9302/7500 -f 8269/9304/7502 8277/9313/7510 8276/9312/7509 8268/9303/7501 -f 8270/9305/7503 8278/9314/7511 8277/9313/7510 8269/9304/7502 -f 8271/9306/7504 8279/9315/7512 8278/9314/7511 8270/9305/7503 -f 8272/9299/7498 8280/9308/7506 8279/9315/7512 8271/9306/7504 -f 8273/9307/7505 8281/9316/7513 8288/9317/7514 8280/9308/7506 -f 8274/9309/7507 8282/9318/7515 8281/9319/7513 8273/9310/7505 -f 8275/9311/7508 8283/9320/7516 8282/9318/7515 8274/9309/7507 -f 8276/9312/7509 8284/9321/7493 8283/9320/7516 8275/9311/7508 -f 8277/9313/7510 8285/9322/7517 8284/9321/7493 8276/9312/7509 -f 8278/9314/7511 8286/9323/7495 8285/9322/7517 8277/9313/7510 -f 8279/9315/7512 8287/9324/7518 8286/9323/7495 8278/9314/7511 -f 8280/9308/7506 8288/9317/7514 8287/9324/7518 8279/9315/7512 -f 8281/9316/7513 8289/9325/7519 8296/9326/7520 8288/9317/7514 -f 8282/9318/7515 8290/9327/7521 8289/9328/7519 8281/9319/7513 -f 8283/9320/7516 8291/9329/7522 8290/9327/7521 8282/9318/7515 -f 8284/9321/7493 8292/9330/7501 8291/9329/7522 8283/9320/7516 -f 8285/9322/7517 8293/9331/7523 8292/9330/7501 8284/9321/7493 -f 8286/9323/7495 8294/9332/7503 8293/9331/7523 8285/9322/7517 -f 8287/9324/7518 8295/9333/7524 8294/9332/7503 8286/9323/7495 -f 8288/9317/7514 8296/9326/7520 8295/9333/7524 8287/9324/7518 -f 8289/9325/7519 8297/9334/7505 8304/9335/7525 8296/9326/7520 -f 8290/9327/7521 8298/9336/7526 8297/9337/7505 8289/9328/7519 -f 8291/9329/7522 8299/9338/7527 8298/9336/7526 8290/9327/7521 -f 8292/9330/7501 8300/9339/7528 8299/9338/7527 8291/9329/7522 -f 8293/9331/7523 8301/9340/7529 8300/9339/7528 8292/9330/7501 -f 8294/9332/7503 8302/9341/7511 8301/9340/7529 8293/9331/7523 -f 8295/9333/7524 8303/9342/7530 8302/9341/7511 8294/9332/7503 -f 8296/9326/7520 8304/9335/7525 8303/9342/7530 8295/9333/7524 -f 8305/9343/7531 8313/9344/7531 8320/9345/7532 8312/9346/7532 -f 8306/9347/7533 8314/9348/7533 8313/9349/7531 8305/9350/7531 -f 8307/9351/7534 8315/9352/7534 8314/9348/7533 8306/9347/7533 -f 8308/9353/7535 8316/9354/7536 8315/9352/7534 8307/9351/7534 -f 8309/9355/7537 8317/9356/7537 8316/9354/7536 8308/9353/7535 -f 8310/9357/7538 8318/9358/7538 8317/9356/7537 8309/9355/7537 -f 8311/9359/7539 8319/9360/7540 8318/9358/7538 8310/9357/7538 -f 8312/9346/7532 8320/9345/7532 8319/9360/7540 8311/9359/7539 -f 8313/9344/7531 8321/9361/7541 8328/9362/7542 8320/9345/7532 -f 8314/9348/7533 8322/9363/7543 8321/9364/7541 8313/9349/7531 -f 8315/9352/7534 8323/9365/7544 8322/9363/7543 8314/9348/7533 -f 8316/9354/7536 8324/9366/7545 8323/9365/7544 8315/9352/7534 -f 8317/9356/7537 8325/9367/7546 8324/9366/7545 8316/9354/7536 -f 8318/9358/7538 8326/9368/7547 8325/9367/7546 8317/9356/7537 -f 8319/9360/7540 8327/9369/7548 8326/9368/7547 8318/9358/7538 -f 8320/9345/7532 8328/9362/7542 8327/9369/7548 8319/9360/7540 -f 8321/9361/7541 8329/9370/7549 8336/9371/7550 8328/9362/7542 -f 8322/9363/7543 8330/9372/7551 8329/9373/7549 8321/9364/7541 -f 8323/9365/7544 8331/9374/7552 8330/9372/7551 8322/9363/7543 -f 8324/9366/7545 8332/9375/7553 8331/9374/7552 8323/9365/7544 -f 8325/9367/7546 8333/9376/7554 8332/9375/7553 8324/9366/7545 -f 8326/9368/7547 8334/9377/7555 8333/9376/7554 8325/9367/7546 -f 8327/9369/7548 8335/9378/7556 8334/9377/7555 8326/9368/7547 -f 8328/9362/7542 8336/9371/7550 8335/9378/7556 8327/9369/7548 -f 8329/9370/7549 8337/9379/7557 8344/9380/7558 8336/9371/7550 -f 8330/9372/7551 8338/9381/7559 8337/9382/7557 8329/9373/7549 -f 8331/9374/7552 8339/9383/7560 8338/9381/7559 8330/9372/7551 -f 8332/9375/7553 8340/9384/7561 8339/9383/7560 8331/9374/7552 -f 8333/9376/7554 8341/9385/7562 8340/9384/7561 8332/9375/7553 -f 8334/9377/7555 8342/9386/7563 8341/9385/7562 8333/9376/7554 -f 8335/9378/7556 8343/9387/7564 8342/9386/7563 8334/9377/7555 -f 8336/9371/7550 8344/9380/7558 8343/9387/7564 8335/9378/7556 -f 8337/9379/7557 8345/9388/7565 8352/9389/7566 8344/9380/7558 -f 8338/9381/7559 8346/9390/7567 8345/9391/7565 8337/9382/7557 -f 8339/9383/7560 8347/9392/7568 8346/9390/7567 8338/9381/7559 -f 8340/9384/7561 8348/9393/7569 8347/9392/7568 8339/9383/7560 -f 8341/9385/7562 8349/9394/7570 8348/9393/7569 8340/9384/7561 -f 8342/9386/7563 8350/9395/7571 8349/9394/7570 8341/9385/7562 -f 8343/9387/7564 8351/9396/7572 8350/9395/7571 8342/9386/7563 -f 8344/9380/7558 8352/9389/7566 8351/9396/7572 8343/9387/7564 -f 8345/9388/7565 8353/9397/7573 8360/9398/7574 8352/9389/7566 -f 8346/9390/7567 8354/9399/7575 8353/9400/7573 8345/9391/7565 -f 8347/9392/7568 8355/9401/7576 8354/9399/7575 8346/9390/7567 -f 8348/9393/7569 8356/9402/7577 8355/9401/7576 8347/9392/7568 -f 8349/9394/7570 8357/9403/7578 8356/9402/7577 8348/9393/7569 -f 8350/9395/7571 8358/9404/7579 8357/9403/7578 8349/9394/7570 -f 8351/9396/7572 8359/9405/7580 8358/9404/7579 8350/9395/7571 -f 8352/9389/7566 8360/9398/7574 8359/9405/7580 8351/9396/7572 -f 8353/9397/7573 8361/9406/7557 8368/9407/7581 8360/9398/7574 -f 8354/9399/7575 8362/9408/7582 8361/9409/7557 8353/9400/7573 -f 8355/9401/7576 8363/9410/7583 8362/9408/7582 8354/9399/7575 -f 8356/9402/7577 8364/9411/7584 8363/9410/7583 8355/9401/7576 -f 8357/9403/7578 8365/9412/7562 8364/9411/7584 8356/9402/7577 -f 8358/9404/7579 8366/9413/7563 8365/9412/7562 8357/9403/7578 -f 8359/9405/7580 8367/9414/7585 8366/9413/7563 8358/9404/7579 -f 8360/9398/7574 8368/9407/7581 8367/9414/7585 8359/9405/7580 -f 8361/9406/7557 8369/9415/7586 8376/9416/7587 8368/9407/7581 -f 8362/9408/7582 8370/9417/7567 8369/9418/7586 8361/9409/7557 -f 8363/9410/7583 8371/9419/7588 8370/9417/7567 8362/9408/7582 -f 8364/9411/7584 8372/9420/7589 8371/9419/7588 8363/9410/7583 -f 8365/9412/7562 8373/9421/7570 8372/9420/7589 8364/9411/7584 -f 8366/9413/7563 8374/9422/7571 8373/9421/7570 8365/9412/7562 -f 8367/9414/7585 8375/9423/7572 8374/9422/7571 8366/9413/7563 -f 8368/9407/7581 8376/9416/7587 8375/9423/7572 8367/9414/7585 -f 8369/9415/7586 8377/9424/7590 8384/9425/7591 8376/9416/7587 -f 8370/9417/7567 8378/9426/7592 8377/9427/7590 8369/9418/7586 -f 8371/9419/7588 8379/9428/7593 8378/9426/7592 8370/9417/7567 -f 8372/9420/7589 8380/9429/7594 8379/9428/7593 8371/9419/7588 -f 8373/9421/7570 8381/9430/7578 8380/9429/7594 8372/9420/7589 -f 8374/9422/7571 8382/9431/7595 8381/9430/7578 8373/9421/7570 -f 8375/9423/7572 8383/9432/7580 8382/9431/7595 8374/9422/7571 -f 8376/9416/7587 8384/9425/7591 8383/9432/7580 8375/9423/7572 -f 8385/9433/7596 8393/9434/7596 8400/9435/7597 8392/9436/7597 -f 8386/9437/7598 8394/9438/7599 8393/9439/7596 8385/9440/7596 -f 8387/9441/7600 8395/9442/7601 8394/9438/7599 8386/9437/7598 -f 8388/9443/7602 8396/9444/7602 8395/9442/7601 8387/9441/7600 -f 8389/9445/7603 8397/9446/7603 8396/9444/7602 8388/9443/7602 -f 8390/9447/7604 8398/9448/7604 8397/9446/7603 8389/9445/7603 -f 8391/9449/7605 8399/9450/7605 8398/9448/7604 8390/9447/7604 -f 8392/9436/7597 8400/9435/7597 8399/9450/7605 8391/9449/7605 -f 8393/9434/7596 8401/9451/7606 8408/9452/7607 8400/9435/7597 -f 8394/9438/7599 8402/9453/7608 8401/9454/7606 8393/9439/7596 -f 8395/9442/7601 8403/9455/7609 8402/9453/7608 8394/9438/7599 -f 8396/9444/7602 8404/9456/7610 8403/9455/7609 8395/9442/7601 -f 8397/9446/7603 8405/9457/7611 8404/9456/7610 8396/9444/7602 -f 8398/9448/7604 8406/9458/7612 8405/9457/7611 8397/9446/7603 -f 8399/9450/7605 8407/9459/7613 8406/9458/7612 8398/9448/7604 -f 8400/9435/7597 8408/9452/7607 8407/9459/7613 8399/9450/7605 -f 8401/9451/7606 8409/9460/7614 8416/9461/7615 8408/9452/7607 -f 8402/9453/7608 8410/9462/7616 8409/9463/7614 8401/9454/7606 -f 8403/9455/7609 8411/9464/7617 8410/9462/7616 8402/9453/7608 -f 8404/9456/7610 8412/9465/7618 8411/9464/7617 8403/9455/7609 -f 8405/9457/7611 8413/9466/7619 8412/9465/7618 8404/9456/7610 -f 8406/9458/7612 8414/9467/7620 8413/9466/7619 8405/9457/7611 -f 8407/9459/7613 8415/9468/7621 8414/9467/7620 8406/9458/7612 -f 8408/9452/7607 8416/9461/7615 8415/9468/7621 8407/9459/7613 -f 8409/9460/7614 8417/9469/7622 8424/9470/7623 8416/9461/7615 -f 8410/9462/7616 8418/9471/7624 8417/9472/7622 8409/9463/7614 -f 8411/9464/7617 8419/9473/7625 8418/9471/7624 8410/9462/7616 -f 8412/9465/7618 8420/9474/7626 8419/9473/7625 8411/9464/7617 -f 8413/9466/7619 8421/9475/7627 8420/9474/7626 8412/9465/7618 -f 8414/9467/7620 8422/9476/7628 8421/9475/7627 8413/9466/7619 -f 8415/9468/7621 8423/9477/7629 8422/9476/7628 8414/9467/7620 -f 8416/9461/7615 8424/9470/7623 8423/9477/7629 8415/9468/7621 -f 8417/9469/7622 8425/9478/7630 8432/9479/7631 8424/9470/7623 -f 8418/9471/7624 8426/9480/7632 8425/9481/7630 8417/9472/7622 -f 8419/9473/7625 8427/9482/7633 8426/9480/7632 8418/9471/7624 -f 8420/9474/7626 8428/9483/7634 8427/9482/7633 8419/9473/7625 -f 8421/9475/7627 8429/9484/7635 8428/9483/7634 8420/9474/7626 -f 8422/9476/7628 8430/9485/7636 8429/9484/7635 8421/9475/7627 -f 8423/9477/7629 8431/9486/7637 8430/9485/7636 8422/9476/7628 -f 8424/9470/7623 8432/9479/7631 8431/9486/7637 8423/9477/7629 -f 8425/9478/7630 8433/9487/7638 8440/9488/7639 8432/9479/7631 -f 8426/9480/7632 8434/9489/7640 8433/9490/7638 8425/9481/7630 -f 8427/9482/7633 8435/9491/7641 8434/9489/7640 8426/9480/7632 -f 8428/9483/7634 8436/9492/7642 8435/9491/7641 8427/9482/7633 -f 8429/9484/7635 8437/9493/7643 8436/9492/7642 8428/9483/7634 -f 8430/9485/7636 8438/9494/7644 8437/9493/7643 8429/9484/7635 -f 8431/9486/7637 8439/9495/7645 8438/9494/7644 8430/9485/7636 -f 8432/9479/7631 8440/9488/7639 8439/9495/7645 8431/9486/7637 -f 8433/9487/7638 8441/9496/7646 8448/9497/7623 8440/9488/7639 -f 8434/9489/7640 8442/9498/7624 8441/9499/7646 8433/9490/7638 -f 8435/9491/7641 8443/9500/7625 8442/9498/7624 8434/9489/7640 -f 8436/9492/7642 8444/9501/7647 8443/9500/7625 8435/9491/7641 -f 8437/9493/7643 8445/9502/7627 8444/9501/7647 8436/9492/7642 -f 8438/9494/7644 8446/9503/7648 8445/9502/7627 8437/9493/7643 -f 8439/9495/7645 8447/9504/7629 8446/9503/7648 8438/9494/7644 -f 8440/9488/7639 8448/9497/7623 8447/9504/7629 8439/9495/7645 -f 8441/9496/7646 8449/9505/7649 8456/9506/7650 8448/9497/7623 -f 8442/9498/7624 8450/9507/7651 8449/9508/7649 8441/9499/7646 -f 8443/9500/7625 8451/9509/7652 8450/9507/7651 8442/9498/7624 -f 8444/9501/7647 8452/9510/7653 8451/9509/7652 8443/9500/7625 -f 8445/9502/7627 8453/9511/7654 8452/9510/7653 8444/9501/7647 -f 8446/9503/7648 8454/9512/7655 8453/9511/7654 8445/9502/7627 -f 8447/9504/7629 8455/9513/7637 8454/9512/7655 8446/9503/7648 -f 8448/9497/7623 8456/9506/7650 8455/9513/7637 8447/9504/7629 -f 8449/9505/7649 8457/9514/7656 8464/9515/7657 8456/9506/7650 -f 8450/9507/7651 8458/9516/7658 8457/9517/7656 8449/9508/7649 -f 8451/9509/7652 8459/9518/7659 8458/9516/7658 8450/9507/7651 -f 8452/9510/7653 8460/9519/7660 8459/9518/7659 8451/9509/7652 -f 8453/9511/7654 8461/9520/7661 8460/9519/7660 8452/9510/7653 -f 8454/9512/7655 8462/9521/7662 8461/9520/7661 8453/9511/7654 -f 8455/9513/7637 8463/9522/7645 8462/9521/7662 8454/9512/7655 -f 8456/9506/7650 8464/9515/7657 8463/9522/7645 8455/9513/7637 -f 8465/9523/7663 8473/9524/7663 8480/9525/7664 8472/9526/7664 -f 8466/9527/7665 8474/9528/7665 8473/9529/7663 8465/9530/7663 -f 8467/9531/7666 8475/9532/7666 8474/9528/7665 8466/9527/7665 -f 8468/9533/7667 8476/9534/7667 8475/9532/7666 8467/9531/7666 -f 8469/9535/7668 8477/9536/7668 8476/9534/7667 8468/9533/7667 -f 8470/9537/7669 8478/9538/7669 8477/9536/7668 8469/9535/7668 -f 8471/9539/7670 8479/9540/7670 8478/9538/7669 8470/9537/7669 -f 8472/9526/7664 8480/9525/7664 8479/9540/7670 8471/9539/7670 -f 8473/9524/7663 8481/9541/7671 8488/9542/7672 8480/9525/7664 -f 8474/9528/7665 8482/9543/7673 8481/9544/7671 8473/9529/7663 -f 8475/9532/7666 8483/9545/7674 8482/9543/7673 8474/9528/7665 -f 8476/9534/7667 8484/9546/7675 8483/9545/7674 8475/9532/7666 -f 8477/9536/7668 8485/9547/7676 8484/9546/7675 8476/9534/7667 -f 8478/9538/7669 8486/9548/7677 8485/9547/7676 8477/9536/7668 -f 8479/9540/7670 8487/9549/7678 8486/9548/7677 8478/9538/7669 -f 8480/9525/7664 8488/9542/7672 8487/9549/7678 8479/9540/7670 -f 8481/9541/7671 8489/9550/7679 8496/9551/7680 8488/9542/7672 -f 8482/9543/7673 8490/9552/7681 8489/9553/7679 8481/9544/7671 -f 8483/9545/7674 8491/9554/7682 8490/9552/7681 8482/9543/7673 -f 8484/9546/7675 8492/9555/7683 8491/9554/7682 8483/9545/7674 -f 8485/9547/7676 8493/9556/7684 8492/9555/7683 8484/9546/7675 -f 8486/9548/7677 8494/9557/7685 8493/9556/7684 8485/9547/7676 -f 8487/9549/7678 8495/9558/7686 8494/9557/7685 8486/9548/7677 -f 8488/9542/7672 8496/9551/7680 8495/9558/7686 8487/9549/7678 -f 8489/9550/7679 8497/9559/7687 8504/9560/7688 8496/9551/7680 -f 8490/9552/7681 8498/9561/7689 8497/9562/7687 8489/9553/7679 -f 8491/9554/7682 8499/9563/7690 8498/9561/7689 8490/9552/7681 -f 8492/9555/7683 8500/9564/7691 8499/9563/7690 8491/9554/7682 -f 8493/9556/7684 8501/9565/7692 8500/9564/7691 8492/9555/7683 -f 8494/9557/7685 8502/9566/7693 8501/9565/7692 8493/9556/7684 -f 8495/9558/7686 8503/9567/7694 8502/9566/7693 8494/9557/7685 -f 8496/9551/7680 8504/9560/7688 8503/9567/7694 8495/9558/7686 -f 8497/9559/7687 8505/9568/7695 8512/9569/7696 8504/9560/7688 -f 8498/9561/7689 8506/9570/7697 8505/9571/7695 8497/9562/7687 -f 8499/9563/7690 8507/9572/7698 8506/9570/7697 8498/9561/7689 -f 8500/9564/7691 8508/9573/7699 8507/9572/7698 8499/9563/7690 -f 8501/9565/7692 8509/9574/7700 8508/9573/7699 8500/9564/7691 -f 8502/9566/7693 8510/9575/7701 8509/9574/7700 8501/9565/7692 -f 8503/9567/7694 8511/9576/7702 8510/9575/7701 8502/9566/7693 -f 8504/9560/7688 8512/9569/7696 8511/9576/7702 8503/9567/7694 -f 8505/9568/7695 8513/9577/7703 8520/9578/7704 8512/9569/7696 -f 8506/9570/7697 8514/9579/7705 8513/9580/7703 8505/9571/7695 -f 8507/9572/7698 8515/9581/7706 8514/9579/7705 8506/9570/7697 -f 8508/9573/7699 8516/9582/7707 8515/9581/7706 8507/9572/7698 -f 8509/9574/7700 8517/9583/7708 8516/9582/7707 8508/9573/7699 -f 8510/9575/7701 8518/9584/7709 8517/9583/7708 8509/9574/7700 -f 8511/9576/7702 8519/9585/7710 8518/9584/7709 8510/9575/7701 -f 8512/9569/7696 8520/9578/7704 8519/9585/7710 8511/9576/7702 -f 8513/9577/7703 8521/9586/7711 8528/9587/7688 8520/9578/7704 -f 8514/9579/7705 8522/9588/7712 8521/9589/7711 8513/9580/7703 -f 8515/9581/7706 8523/9590/7690 8522/9588/7712 8514/9579/7705 -f 8516/9582/7707 8524/9591/7691 8523/9590/7690 8515/9581/7706 -f 8517/9583/7708 8525/9592/7713 8524/9591/7691 8516/9582/7707 -f 8518/9584/7709 8526/9593/7714 8525/9592/7713 8517/9583/7708 -f 8519/9585/7710 8527/9594/7694 8526/9593/7714 8518/9584/7709 -f 8520/9578/7704 8528/9587/7688 8527/9594/7694 8519/9585/7710 -f 8521/9586/7711 8529/9595/7695 8536/9596/7715 8528/9587/7688 -f 8522/9588/7712 8530/9597/7716 8529/9598/7695 8521/9589/7711 -f 8523/9590/7690 8531/9599/7698 8530/9597/7716 8522/9588/7712 -f 8524/9591/7691 8532/9600/7699 8531/9599/7698 8523/9590/7690 -f 8525/9592/7713 8533/9601/7717 8532/9600/7699 8524/9591/7691 -f 8526/9593/7714 8534/9602/7718 8533/9601/7717 8525/9592/7713 -f 8527/9594/7694 8535/9603/7702 8534/9602/7718 8526/9593/7714 -f 8528/9587/7688 8536/9596/7715 8535/9603/7702 8527/9594/7694 -f 8529/9595/7695 8537/9604/7719 8544/9605/7720 8536/9596/7715 -f 8530/9597/7716 8538/9606/7721 8537/9607/7719 8529/9598/7695 -f 8531/9599/7698 8539/9608/7722 8538/9606/7721 8530/9597/7716 -f 8532/9600/7699 8540/9609/7723 8539/9608/7722 8531/9599/7698 -f 8533/9601/7717 8541/9610/7724 8540/9609/7723 8532/9600/7699 -f 8534/9602/7718 8542/9611/7725 8541/9610/7724 8533/9601/7717 -f 8535/9603/7702 8543/9612/7710 8542/9611/7725 8534/9602/7718 -f 8536/9596/7715 8544/9605/7720 8543/9612/7710 8535/9603/7702 -f 8545/9613/7726 8553/9614/7726 8560/9615/7727 8552/9616/7727 -f 8546/9617/7728 8554/9618/7729 8553/9619/7726 8545/9620/7726 -f 8547/9621/7730 8555/9622/7730 8554/9618/7729 8546/9617/7728 -f 8548/9623/7731 8556/9624/7731 8555/9622/7730 8547/9621/7730 -f 8549/9625/7732 8557/9626/7732 8556/9624/7731 8548/9623/7731 -f 8550/9627/7733 8558/9628/7733 8557/9626/7732 8549/9625/7732 -f 8551/9629/7734 8559/9630/7734 8558/9628/7733 8550/9627/7733 -f 8552/9616/7727 8560/9615/7727 8559/9630/7734 8551/9629/7734 -f 8553/9614/7726 8561/9631/7735 8568/9632/7736 8560/9615/7727 -f 8554/9618/7729 8562/9633/7737 8561/9634/7735 8553/9619/7726 -f 8555/9622/7730 8563/9635/7738 8562/9633/7737 8554/9618/7729 -f 8556/9624/7731 8564/9636/7739 8563/9635/7738 8555/9622/7730 -f 8557/9626/7732 8565/9637/7740 8564/9636/7739 8556/9624/7731 -f 8558/9628/7733 8566/9638/7741 8565/9637/7740 8557/9626/7732 -f 8559/9630/7734 8567/9639/7742 8566/9638/7741 8558/9628/7733 -f 8560/9615/7727 8568/9632/7736 8567/9639/7742 8559/9630/7734 -f 8561/9631/7735 8569/9640/7743 8576/9641/7744 8568/9632/7736 -f 8562/9633/7737 8570/9642/7745 8569/9643/7743 8561/9634/7735 -f 8563/9635/7738 8571/9644/7746 8570/9642/7745 8562/9633/7737 -f 8564/9636/7739 8572/9645/7747 8571/9644/7746 8563/9635/7738 -f 8565/9637/7740 8573/9646/7748 8572/9645/7747 8564/9636/7739 -f 8566/9638/7741 8574/9647/7749 8573/9646/7748 8565/9637/7740 -f 8567/9639/7742 8575/9648/7750 8574/9647/7749 8566/9638/7741 -f 8568/9632/7736 8576/9641/7744 8575/9648/7750 8567/9639/7742 -f 8569/9640/7743 8577/9649/7751 8584/9650/7752 8576/9641/7744 -f 8570/9642/7745 8578/9651/7753 8577/9652/7751 8569/9643/7743 -f 8571/9644/7746 8579/9653/7754 8578/9651/7753 8570/9642/7745 -f 8572/9645/7747 8580/9654/7755 8579/9653/7754 8571/9644/7746 -f 8573/9646/7748 8581/9655/7756 8580/9654/7755 8572/9645/7747 -f 8574/9647/7749 8582/9656/7757 8581/9655/7756 8573/9646/7748 -f 8575/9648/7750 8583/9657/7758 8582/9656/7757 8574/9647/7749 -f 8576/9641/7744 8584/9650/7752 8583/9657/7758 8575/9648/7750 -f 8577/9649/7751 8585/9658/7759 8592/9659/7760 8584/9650/7752 -f 8578/9651/7753 8586/9660/7761 8585/9661/7759 8577/9652/7751 -f 8579/9653/7754 8587/9662/7762 8586/9660/7761 8578/9651/7753 -f 8580/9654/7755 8588/9663/7763 8587/9662/7762 8579/9653/7754 -f 8581/9655/7756 8589/9664/7764 8588/9663/7763 8580/9654/7755 -f 8582/9656/7757 8590/9665/7765 8589/9664/7764 8581/9655/7756 -f 8583/9657/7758 8591/9666/7766 8590/9665/7765 8582/9656/7757 -f 8584/9650/7752 8592/9659/7760 8591/9666/7766 8583/9657/7758 -f 8585/9658/7759 8593/9667/7767 8600/9668/7768 8592/9659/7760 -f 8586/9660/7761 8594/9669/7769 8593/9670/7767 8585/9661/7759 -f 8587/9662/7762 8595/9671/7770 8594/9669/7769 8586/9660/7761 -f 8588/9663/7763 8596/9672/7771 8595/9671/7770 8587/9662/7762 -f 8589/9664/7764 8597/9673/7772 8596/9672/7771 8588/9663/7763 -f 8590/9665/7765 8598/9674/7773 8597/9673/7772 8589/9664/7764 -f 8591/9666/7766 8599/9675/7774 8598/9674/7773 8590/9665/7765 -f 8592/9659/7760 8600/9668/7768 8599/9675/7774 8591/9666/7766 -f 8593/9667/7767 8601/9676/7751 8608/9677/7775 8600/9668/7768 -f 8594/9669/7769 8602/9678/7776 8601/9679/7751 8593/9670/7767 -f 8595/9671/7770 8603/9680/7777 8602/9678/7776 8594/9669/7769 -f 8596/9672/7771 8604/9681/7778 8603/9680/7777 8595/9671/7770 -f 8597/9673/7772 8605/9682/7756 8604/9681/7778 8596/9672/7771 -f 8598/9674/7773 8606/9683/7757 8605/9682/7756 8597/9673/7772 -f 8599/9675/7774 8607/9684/7758 8606/9683/7757 8598/9674/7773 -f 8600/9668/7768 8608/9677/7775 8607/9684/7758 8599/9675/7774 -f 8601/9676/7751 8609/9685/7779 8616/9686/7780 8608/9677/7775 -f 8602/9678/7776 8610/9687/7781 8609/9688/7779 8601/9679/7751 -f 8603/9680/7777 8611/9689/7762 8610/9687/7781 8602/9678/7776 -f 8604/9681/7778 8612/9690/7782 8611/9689/7762 8603/9680/7777 -f 8605/9682/7756 8613/9691/7764 8612/9690/7782 8604/9681/7778 -f 8606/9683/7757 8614/9692/7783 8613/9691/7764 8605/9682/7756 -f 8607/9684/7758 8615/9693/7766 8614/9692/7783 8606/9683/7757 -f 8608/9677/7775 8616/9686/7780 8615/9693/7766 8607/9684/7758 -f 8609/9685/7779 8617/9694/7784 8624/9695/7785 8616/9686/7780 -f 8610/9687/7781 8618/9696/7786 8617/9697/7784 8609/9688/7779 -f 8611/9689/7762 8619/9698/7787 8618/9696/7786 8610/9687/7781 -f 8612/9690/7782 8620/9699/7771 8619/9698/7787 8611/9689/7762 -f 8613/9691/7764 8621/9700/7788 8620/9699/7771 8612/9690/7782 -f 8614/9692/7783 8622/9701/7773 8621/9700/7788 8613/9691/7764 -f 8615/9693/7766 8623/9702/7789 8622/9701/7773 8614/9692/7783 -f 8616/9686/7780 8624/9695/7785 8623/9702/7789 8615/9693/7766 -f 8625/9703/7790 8633/9704/7790 8640/9705/7791 8632/9706/7791 -f 8626/9707/7792 8634/9708/7792 8633/9709/7790 8625/9710/7790 -f 8627/9711/7793 8635/9712/7794 8634/9708/7792 8626/9707/7792 -f 8628/9713/7795 8636/9714/7795 8635/9712/7794 8627/9711/7793 -f 8629/9715/7796 8637/9716/7796 8636/9714/7795 8628/9713/7795 -f 8630/9717/7797 8638/9718/7797 8637/9716/7796 8629/9715/7796 -f 8631/9719/7798 8639/9720/7798 8638/9718/7797 8630/9717/7797 -f 8632/9706/7791 8640/9705/7791 8639/9720/7798 8631/9719/7798 -f 8633/9704/7790 8641/9721/7799 8648/9722/7800 8640/9705/7791 -f 8634/9708/7792 8642/9723/7801 8641/9724/7799 8633/9709/7790 -f 8635/9712/7794 8643/9725/7802 8642/9723/7801 8634/9708/7792 -f 8636/9714/7795 8644/9726/7803 8643/9725/7802 8635/9712/7794 -f 8637/9716/7796 8645/9727/7804 8644/9726/7803 8636/9714/7795 -f 8638/9718/7797 8646/9728/7805 8645/9727/7804 8637/9716/7796 -f 8639/9720/7798 8647/9729/7806 8646/9728/7805 8638/9718/7797 -f 8640/9705/7791 8648/9722/7800 8647/9729/7806 8639/9720/7798 -f 8641/9721/7799 8649/9730/7807 8656/9731/7808 8648/9722/7800 -f 8642/9723/7801 8650/9732/7809 8649/9733/7807 8641/9724/7799 -f 8643/9725/7802 8651/9734/7810 8650/9732/7809 8642/9723/7801 -f 8644/9726/7803 8652/9735/7811 8651/9734/7810 8643/9725/7802 -f 8645/9727/7804 8653/9736/7812 8652/9735/7811 8644/9726/7803 -f 8646/9728/7805 8654/9737/7813 8653/9736/7812 8645/9727/7804 -f 8647/9729/7806 8655/9738/7814 8654/9737/7813 8646/9728/7805 -f 8648/9722/7800 8656/9731/7808 8655/9738/7814 8647/9729/7806 -f 8649/9730/7807 8657/9739/7815 8664/9740/7816 8656/9731/7808 -f 8650/9732/7809 8658/9741/7817 8657/9742/7815 8649/9733/7807 -f 8651/9734/7810 8659/9743/7818 8658/9741/7817 8650/9732/7809 -f 8652/9735/7811 8660/9744/7819 8659/9743/7818 8651/9734/7810 -f 8653/9736/7812 8661/9745/7820 8660/9744/7819 8652/9735/7811 -f 8654/9737/7813 8662/9746/7821 8661/9745/7820 8653/9736/7812 -f 8655/9738/7814 8663/9747/7822 8662/9746/7821 8654/9737/7813 -f 8656/9731/7808 8664/9740/7816 8663/9747/7822 8655/9738/7814 -f 8657/9739/7815 8665/9748/7823 8672/9749/7824 8664/9740/7816 -f 8658/9741/7817 8666/9750/7825 8665/9751/7823 8657/9742/7815 -f 8659/9743/7818 8667/9752/7826 8666/9750/7825 8658/9741/7817 -f 8660/9744/7819 8668/9753/7827 8667/9752/7826 8659/9743/7818 -f 8661/9745/7820 8669/9754/7828 8668/9753/7827 8660/9744/7819 -f 8662/9746/7821 8670/9755/7829 8669/9754/7828 8661/9745/7820 -f 8663/9747/7822 8671/9756/7830 8670/9755/7829 8662/9746/7821 -f 8664/9740/7816 8672/9749/7824 8671/9756/7830 8663/9747/7822 -f 8665/9748/7823 8673/9757/7831 8680/9758/7832 8672/9749/7824 -f 8666/9750/7825 8674/9759/7833 8673/9760/7831 8665/9751/7823 -f 8667/9752/7826 8675/9761/7834 8674/9759/7833 8666/9750/7825 -f 8668/9753/7827 8676/9762/7835 8675/9761/7834 8667/9752/7826 -f 8669/9754/7828 8677/9763/7836 8676/9762/7835 8668/9753/7827 -f 8670/9755/7829 8678/9764/7837 8677/9763/7836 8669/9754/7828 -f 8671/9756/7830 8679/9765/7838 8678/9764/7837 8670/9755/7829 -f 8672/9749/7824 8680/9758/7832 8679/9765/7838 8671/9756/7830 -f 8673/9757/7831 8681/9766/7815 8688/9767/7816 8680/9758/7832 -f 8674/9759/7833 8682/9768/7817 8681/9769/7815 8673/9760/7831 -f 8675/9761/7834 8683/9770/7818 8682/9768/7817 8674/9759/7833 -f 8676/9762/7835 8684/9771/7819 8683/9770/7818 8675/9761/7834 -f 8677/9763/7836 8685/9772/7820 8684/9771/7819 8676/9762/7835 -f 8678/9764/7837 8686/9773/7821 8685/9772/7820 8677/9763/7836 -f 8679/9765/7838 8687/9774/7839 8686/9773/7821 8678/9764/7837 -f 8680/9758/7832 8688/9767/7816 8687/9774/7839 8679/9765/7838 -f 8681/9766/7815 8689/9775/7840 8696/9776/7824 8688/9767/7816 -f 8682/9768/7817 8690/9777/7841 8689/9778/7840 8681/9769/7815 -f 8683/9770/7818 8691/9779/7826 8690/9777/7841 8682/9768/7817 -f 8684/9771/7819 8692/9780/7827 8691/9779/7826 8683/9770/7818 -f 8685/9772/7820 8693/9781/7842 8692/9780/7827 8684/9771/7819 -f 8686/9773/7821 8694/9782/7829 8693/9781/7842 8685/9772/7820 -f 8687/9774/7839 8695/9783/7830 8694/9782/7829 8686/9773/7821 -f 8688/9767/7816 8696/9776/7824 8695/9783/7830 8687/9774/7839 -f 8689/9775/7840 8697/9784/7831 8704/9785/7832 8696/9776/7824 -f 8690/9777/7841 8698/9786/7833 8697/9787/7831 8689/9778/7840 -f 8691/9779/7826 8699/9788/7843 8698/9786/7833 8690/9777/7841 -f 8692/9780/7827 8700/9789/7844 8699/9788/7843 8691/9779/7826 -f 8693/9781/7842 8701/9790/7845 8700/9789/7844 8692/9780/7827 -f 8694/9782/7829 8702/9791/7837 8701/9790/7845 8693/9781/7842 -f 8695/9783/7830 8703/9792/7846 8702/9791/7837 8694/9782/7829 -f 8696/9776/7824 8704/9785/7832 8703/9792/7846 8695/9783/7830 -f 8705/9793/7847 8713/9794/7848 8720/9795/7849 8712/9796/7850 -f 8706/9797/7851 8714/9798/7852 8713/9799/7848 8705/9800/7847 -f 8707/9801/7853 8715/9802/7853 8714/9798/7852 8706/9797/7851 -f 8708/9803/7854 8716/9804/7854 8715/9802/7853 8707/9801/7853 -f 8709/9805/7855 8717/9806/7855 8716/9804/7854 8708/9803/7854 -f 8710/9807/7856 8718/9808/7857 8717/9806/7855 8709/9805/7855 -f 8711/9809/7858 8719/9810/7858 8718/9808/7857 8710/9807/7856 -f 8712/9796/7850 8720/9795/7849 8719/9810/7858 8711/9809/7858 -f 8713/9794/7848 8721/9811/7859 8728/9812/7860 8720/9795/7849 -f 8714/9798/7852 8722/9813/7861 8721/9814/7859 8713/9799/7848 -f 8715/9802/7853 8723/9815/7862 8722/9813/7861 8714/9798/7852 -f 8716/9804/7854 8724/9816/7863 8723/9815/7862 8715/9802/7853 -f 8717/9806/7855 8725/9817/7864 8724/9816/7863 8716/9804/7854 -f 8718/9808/7857 8726/9818/7865 8725/9817/7864 8717/9806/7855 -f 8719/9810/7858 8727/9819/7866 8726/9818/7865 8718/9808/7857 -f 8720/9795/7849 8728/9812/7860 8727/9819/7866 8719/9810/7858 -f 8721/9811/7859 8729/9820/7867 8736/9821/7868 8728/9812/7860 -f 8722/9813/7861 8730/9822/7869 8729/9823/7867 8721/9814/7859 -f 8723/9815/7862 8731/9824/7870 8730/9822/7869 8722/9813/7861 -f 8724/9816/7863 8732/9825/7871 8731/9824/7870 8723/9815/7862 -f 8725/9817/7864 8733/9826/7872 8732/9825/7871 8724/9816/7863 -f 8726/9818/7865 8734/9827/7873 8733/9826/7872 8725/9817/7864 -f 8727/9819/7866 8735/9828/7874 8734/9827/7873 8726/9818/7865 -f 8728/9812/7860 8736/9821/7868 8735/9828/7874 8727/9819/7866 -f 8729/9820/7867 8737/9829/7875 8744/9830/7876 8736/9821/7868 -f 8730/9822/7869 8738/9831/7877 8737/9832/7875 8729/9823/7867 -f 8731/9824/7870 8739/9833/7878 8738/9831/7877 8730/9822/7869 -f 8732/9825/7871 8740/9834/7879 8739/9833/7878 8731/9824/7870 -f 8733/9826/7872 8741/9835/7880 8740/9834/7879 8732/9825/7871 -f 8734/9827/7873 8742/9836/7881 8741/9835/7880 8733/9826/7872 -f 8735/9828/7874 8743/9837/7882 8742/9836/7881 8734/9827/7873 -f 8736/9821/7868 8744/9830/7876 8743/9837/7882 8735/9828/7874 -f 8737/9829/7875 8745/9838/7883 8752/9839/7884 8744/9830/7876 -f 8738/9831/7877 8746/9840/7885 8745/9841/7883 8737/9832/7875 -f 8739/9833/7878 8747/9842/7886 8746/9840/7885 8738/9831/7877 -f 8740/9834/7879 8748/9843/7887 8747/9842/7886 8739/9833/7878 -f 8741/9835/7880 8749/9844/7888 8748/9843/7887 8740/9834/7879 -f 8742/9836/7881 8750/9845/7889 8749/9844/7888 8741/9835/7880 -f 8743/9837/7882 8751/9846/7890 8750/9845/7889 8742/9836/7881 -f 8744/9830/7876 8752/9839/7884 8751/9846/7890 8743/9837/7882 -f 8745/9838/7883 8753/9847/7891 8760/9848/7892 8752/9839/7884 -f 8746/9840/7885 8754/9849/7893 8753/9850/7891 8745/9841/7883 -f 8747/9842/7886 8755/9851/7894 8754/9849/7893 8746/9840/7885 -f 8748/9843/7887 8756/9852/7895 8755/9851/7894 8747/9842/7886 -f 8749/9844/7888 8757/9853/7896 8756/9852/7895 8748/9843/7887 -f 8750/9845/7889 8758/9854/7897 8757/9853/7896 8749/9844/7888 -f 8751/9846/7890 8759/9855/7898 8758/9854/7897 8750/9845/7889 -f 8752/9839/7884 8760/9848/7892 8759/9855/7898 8751/9846/7890 -f 8753/9847/7891 8761/9856/7899 8768/9857/7900 8760/9848/7892 -f 8754/9849/7893 8762/9858/7901 8761/9859/7899 8753/9850/7891 -f 8755/9851/7894 8763/9860/7878 8762/9858/7901 8754/9849/7893 -f 8756/9852/7895 8764/9861/7902 8763/9860/7878 8755/9851/7894 -f 8757/9853/7896 8765/9862/7903 8764/9861/7902 8756/9852/7895 -f 8758/9854/7897 8766/9863/7881 8765/9862/7903 8757/9853/7896 -f 8759/9855/7898 8767/9864/7904 8766/9863/7881 8758/9854/7897 -f 8760/9848/7892 8768/9857/7900 8767/9864/7904 8759/9855/7898 -f 8761/9856/7899 8769/9865/7905 8776/9866/7906 8768/9857/7900 -f 8762/9858/7901 8770/9867/7907 8769/9868/7905 8761/9859/7899 -f 8763/9860/7878 8771/9869/7908 8770/9867/7907 8762/9858/7901 -f 8764/9861/7902 8772/9870/7887 8771/9869/7908 8763/9860/7878 -f 8765/9862/7903 8773/9871/7888 8772/9870/7887 8764/9861/7902 -f 8766/9863/7881 8774/9872/7889 8773/9871/7888 8765/9862/7903 -f 8767/9864/7904 8775/9873/7909 8774/9872/7889 8766/9863/7881 -f 8768/9857/7900 8776/9866/7906 8775/9873/7909 8767/9864/7904 -f 8769/9865/7905 8777/9874/7891 8784/9875/7910 8776/9866/7906 -f 8770/9867/7907 8778/9876/7911 8777/9877/7891 8769/9868/7905 -f 8771/9869/7908 8779/9878/7912 8778/9876/7911 8770/9867/7907 -f 8772/9870/7887 8780/9879/7913 8779/9878/7912 8771/9869/7908 -f 8773/9871/7888 8781/9880/7914 8780/9879/7913 8772/9870/7887 -f 8774/9872/7889 8782/9881/7915 8781/9880/7914 8773/9871/7888 -f 8775/9873/7909 8783/9882/7916 8782/9881/7915 8774/9872/7889 -f 8776/9866/7906 8784/9875/7910 8783/9882/7916 8775/9873/7909 -f 8785/9883/7917 8793/9884/7917 8800/9885/7918 8792/9886/7918 -f 8786/9887/7919 8794/9888/7919 8793/9889/7917 8785/9890/7917 -f 8787/9891/7920 8795/9892/7920 8794/9888/7919 8786/9887/7919 -f 8788/9893/7921 8796/9894/7921 8795/9892/7920 8787/9891/7920 -f 8789/9895/7922 8797/9896/7923 8796/9894/7921 8788/9893/7921 -f 8790/9897/7924 8798/9898/7924 8797/9896/7923 8789/9895/7922 -f 8791/9899/7925 8799/9900/7925 8798/9898/7924 8790/9897/7924 -f 8792/9886/7918 8800/9885/7918 8799/9900/7925 8791/9899/7925 -f 8793/9884/7917 8801/9901/7926 8808/9902/7927 8800/9885/7918 -f 8794/9888/7919 8802/9903/7928 8801/9904/7926 8793/9889/7917 -f 8795/9892/7920 8803/9905/7929 8802/9903/7928 8794/9888/7919 -f 8796/9894/7921 8804/9906/7930 8803/9905/7929 8795/9892/7920 -f 8797/9896/7923 8805/9907/7931 8804/9906/7930 8796/9894/7921 -f 8798/9898/7924 8806/9908/7932 8805/9907/7931 8797/9896/7923 -f 8799/9900/7925 8807/9909/7933 8806/9908/7932 8798/9898/7924 -f 8800/9885/7918 8808/9902/7927 8807/9909/7933 8799/9900/7925 -f 8801/9901/7926 8809/9910/7934 8816/9911/7935 8808/9902/7927 -f 8802/9903/7928 8810/9912/7936 8809/9913/7934 8801/9904/7926 -f 8803/9905/7929 8811/9914/7937 8810/9912/7936 8802/9903/7928 -f 8804/9906/7930 8812/9915/7938 8811/9914/7937 8803/9905/7929 -f 8805/9907/7931 8813/9916/7939 8812/9915/7938 8804/9906/7930 -f 8806/9908/7932 8814/9917/7940 8813/9916/7939 8805/9907/7931 -f 8807/9909/7933 8815/9918/7941 8814/9917/7940 8806/9908/7932 -f 8808/9902/7927 8816/9911/7935 8815/9918/7941 8807/9909/7933 -f 8809/9910/7934 8817/9919/7942 8824/9920/7943 8816/9911/7935 -f 8810/9912/7936 8818/9921/7944 8817/9922/7942 8809/9913/7934 -f 8811/9914/7937 8819/9923/7945 8818/9921/7944 8810/9912/7936 -f 8812/9915/7938 8820/9924/7946 8819/9923/7945 8811/9914/7937 -f 8813/9916/7939 8821/9925/7947 8820/9924/7946 8812/9915/7938 -f 8814/9917/7940 8822/9926/7948 8821/9925/7947 8813/9916/7939 -f 8815/9918/7941 8823/9927/7949 8822/9926/7948 8814/9917/7940 -f 8816/9911/7935 8824/9920/7943 8823/9927/7949 8815/9918/7941 -f 8817/9919/7942 8825/9928/7950 8832/9929/7951 8824/9920/7943 -f 8818/9921/7944 8826/9930/7952 8825/9931/7950 8817/9922/7942 -f 8819/9923/7945 8827/9932/7953 8826/9930/7952 8818/9921/7944 -f 8820/9924/7946 8828/9933/7954 8827/9932/7953 8819/9923/7945 -f 8821/9925/7947 8829/9934/7955 8828/9933/7954 8820/9924/7946 -f 8822/9926/7948 8830/9935/7956 8829/9934/7955 8821/9925/7947 -f 8823/9927/7949 8831/9936/7957 8830/9935/7956 8822/9926/7948 -f 8824/9920/7943 8832/9929/7951 8831/9936/7957 8823/9927/7949 -f 8825/9928/7950 8833/9937/7958 8840/9938/7959 8832/9929/7951 -f 8826/9930/7952 8834/9939/7960 8833/9940/7958 8825/9931/7950 -f 8827/9932/7953 8835/9941/7961 8834/9939/7960 8826/9930/7952 -f 8828/9933/7954 8836/9942/7962 8835/9941/7961 8827/9932/7953 -f 8829/9934/7955 8837/9943/7963 8836/9942/7962 8828/9933/7954 -f 8830/9935/7956 8838/9944/7964 8837/9943/7963 8829/9934/7955 -f 8831/9936/7957 8839/9945/7965 8838/9944/7964 8830/9935/7956 -f 8832/9929/7951 8840/9938/7959 8839/9945/7965 8831/9936/7957 -f 8833/9937/7958 8841/9946/7942 8848/9947/7966 8840/9938/7959 -f 8834/9939/7960 8842/9948/7944 8841/9949/7942 8833/9940/7958 -f 8835/9941/7961 8843/9950/7945 8842/9948/7944 8834/9939/7960 -f 8836/9942/7962 8844/9951/7967 8843/9950/7945 8835/9941/7961 -f 8837/9943/7963 8845/9952/7968 8844/9951/7967 8836/9942/7962 -f 8838/9944/7964 8846/9953/7948 8845/9952/7968 8837/9943/7963 -f 8839/9945/7965 8847/9954/7969 8846/9953/7948 8838/9944/7964 -f 8840/9938/7959 8848/9947/7966 8847/9954/7969 8839/9945/7965 -f 8841/9946/7942 8849/9955/7950 8856/9956/7951 8848/9947/7966 -f 8842/9948/7944 8850/9957/7952 8849/9958/7950 8841/9949/7942 -f 8843/9950/7945 8851/9959/7970 8850/9957/7952 8842/9948/7944 -f 8844/9951/7967 8852/9960/7954 8851/9959/7970 8843/9950/7945 -f 8845/9952/7968 8853/9961/7971 8852/9960/7954 8844/9951/7967 -f 8846/9953/7948 8854/9962/7956 8853/9961/7971 8845/9952/7968 -f 8847/9954/7969 8855/9963/7972 8854/9962/7956 8846/9953/7948 -f 8848/9947/7966 8856/9956/7951 8855/9963/7972 8847/9954/7969 -f 8849/9955/7950 8857/9964/7973 8864/9965/7959 8856/9956/7951 -f 8850/9957/7952 8858/9966/7974 8857/9967/7973 8849/9958/7950 -f 8851/9959/7970 8859/9968/7975 8858/9966/7974 8850/9957/7952 -f 8852/9960/7954 8860/9969/7962 8859/9968/7975 8851/9959/7970 -f 8853/9961/7971 8861/9970/7976 8860/9969/7962 8852/9960/7954 -f 8854/9962/7956 8862/9971/7977 8861/9970/7976 8853/9961/7971 -f 8855/9963/7972 8863/9972/7978 8862/9971/7977 8854/9962/7956 -f 8856/9956/7951 8864/9965/7959 8863/9972/7978 8855/9963/7972 -f 8865/9973/7979 8873/9974/7979 8880/9975/7980 8872/9976/7981 -f 8866/9977/7982 8874/9978/7983 8873/9979/7979 8865/9980/7979 -f 8867/9981/7984 8875/9982/7984 8874/9978/7983 8866/9977/7982 -f 8868/9983/7985 8876/9984/7985 8875/9982/7984 8867/9981/7984 -f 8869/9985/7986 8877/9986/7986 8876/9984/7985 8868/9983/7985 -f 8870/9987/7987 8878/9988/7987 8877/9986/7986 8869/9985/7986 -f 8871/9989/7988 8879/9990/7988 8878/9988/7987 8870/9987/7987 -f 8872/9976/7981 8880/9975/7980 8879/9990/7988 8871/9989/7988 -f 8873/9974/7979 8881/9991/7989 8888/9992/7990 8880/9975/7980 -f 8874/9978/7983 8882/9993/7991 8881/9994/7989 8873/9979/7979 -f 8875/9982/7984 8883/9995/7992 8882/9993/7991 8874/9978/7983 -f 8876/9984/7985 8884/9996/7993 8883/9995/7992 8875/9982/7984 -f 8877/9986/7986 8885/9997/7994 8884/9996/7993 8876/9984/7985 -f 8878/9988/7987 8886/9998/7995 8885/9997/7994 8877/9986/7986 -f 8879/9990/7988 8887/9999/7996 8886/9998/7995 8878/9988/7987 -f 8880/9975/7980 8888/9992/7990 8887/9999/7996 8879/9990/7988 -f 8881/9991/7989 8889/10000/7997 8896/10001/7998 8888/9992/7990 -f 8882/9993/7991 8890/10002/7999 8889/10003/7997 8881/9994/7989 -f 8883/9995/7992 8891/10004/8000 8890/10002/7999 8882/9993/7991 -f 8884/9996/7993 8892/10005/8001 8891/10004/8000 8883/9995/7992 -f 8885/9997/7994 8893/10006/8002 8892/10005/8001 8884/9996/7993 -f 8886/9998/7995 8894/10007/8003 8893/10006/8002 8885/9997/7994 -f 8887/9999/7996 8895/10008/8004 8894/10007/8003 8886/9998/7995 -f 8888/9992/7990 8896/10001/7998 8895/10008/8004 8887/9999/7996 -f 8889/10000/7997 8897/10009/8005 8904/10010/8006 8896/10001/7998 -f 8890/10002/7999 8898/10011/8007 8897/10012/8005 8889/10003/7997 -f 8891/10004/8000 8899/10013/8008 8898/10011/8007 8890/10002/7999 -f 8892/10005/8001 8900/10014/8009 8899/10013/8008 8891/10004/8000 -f 8893/10006/8002 8901/10015/8010 8900/10014/8009 8892/10005/8001 -f 8894/10007/8003 8902/10016/8011 8901/10015/8010 8893/10006/8002 -f 8895/10008/8004 8903/10017/8012 8902/10016/8011 8894/10007/8003 -f 8896/10001/7998 8904/10010/8006 8903/10017/8012 8895/10008/8004 -f 8897/10009/8005 8905/10018/8013 8912/10019/8014 8904/10010/8006 -f 8898/10011/8007 8906/10020/8015 8905/10021/8013 8897/10012/8005 -f 8899/10013/8008 8907/10022/8016 8906/10020/8015 8898/10011/8007 -f 8900/10014/8009 8908/10023/8017 8907/10022/8016 8899/10013/8008 -f 8901/10015/8010 8909/10024/8018 8908/10023/8017 8900/10014/8009 -f 8902/10016/8011 8910/10025/8019 8909/10024/8018 8901/10015/8010 -f 8903/10017/8012 8911/10026/8020 8910/10025/8019 8902/10016/8011 -f 8904/10010/8006 8912/10019/8014 8911/10026/8020 8903/10017/8012 -f 8905/10018/8013 8913/10027/8021 8920/10028/8022 8912/10019/8014 -f 8906/10020/8015 8914/10029/8023 8913/10030/8021 8905/10021/8013 -f 8907/10022/8016 8915/10031/8024 8914/10029/8023 8906/10020/8015 -f 8908/10023/8017 8916/10032/8025 8915/10031/8024 8907/10022/8016 -f 8909/10024/8018 8917/10033/8026 8916/10032/8025 8908/10023/8017 -f 8910/10025/8019 8918/10034/8027 8917/10033/8026 8909/10024/8018 -f 8911/10026/8020 8919/10035/8028 8918/10034/8027 8910/10025/8019 -f 8912/10019/8014 8920/10028/8022 8919/10035/8028 8911/10026/8020 -f 8913/10027/8021 8921/10036/8005 8928/10037/8029 8920/10028/8022 -f 8914/10029/8023 8922/10038/8007 8921/10039/8005 8913/10030/8021 -f 8915/10031/8024 8923/10040/8008 8922/10038/8007 8914/10029/8023 -f 8916/10032/8025 8924/10041/8030 8923/10040/8008 8915/10031/8024 -f 8917/10033/8026 8925/10042/8010 8924/10041/8030 8916/10032/8025 -f 8918/10034/8027 8926/10043/8011 8925/10042/8010 8917/10033/8026 -f 8919/10035/8028 8927/10044/8012 8926/10043/8011 8918/10034/8027 -f 8920/10028/8022 8928/10037/8029 8927/10044/8012 8919/10035/8028 -f 8921/10036/8005 8929/10045/8013 8936/10046/8031 8928/10037/8029 -f 8922/10038/8007 8930/10047/8015 8929/10048/8013 8921/10039/8005 -f 8923/10040/8008 8931/10049/8032 8930/10047/8015 8922/10038/8007 -f 8924/10041/8030 8932/10050/8033 8931/10049/8032 8923/10040/8008 -f 8925/10042/8010 8933/10051/8034 8932/10050/8033 8924/10041/8030 -f 8926/10043/8011 8934/10052/8035 8933/10051/8034 8925/10042/8010 -f 8927/10044/8012 8935/10053/8036 8934/10052/8035 8926/10043/8011 -f 8928/10037/8029 8936/10046/8031 8935/10053/8036 8927/10044/8012 -f 8929/10045/8013 8937/10054/8037 8944/10055/8022 8936/10046/8031 -f 8930/10047/8015 8938/10056/8023 8937/10057/8037 8929/10048/8013 -f 8931/10049/8032 8939/10058/8024 8938/10056/8023 8930/10047/8015 -f 8932/10050/8033 8940/10059/8038 8939/10058/8024 8931/10049/8032 -f 8933/10051/8034 8941/10060/8039 8940/10059/8038 8932/10050/8033 -f 8934/10052/8035 8942/10061/8040 8941/10060/8039 8933/10051/8034 -f 8935/10053/8036 8943/10062/8041 8942/10061/8040 8934/10052/8035 -f 8936/10046/8031 8944/10055/8022 8943/10062/8041 8935/10053/8036 -f 8945/10063/8042 8953/10064/8042 8960/10065/8043 8952/10066/8043 -f 8946/10067/8044 8954/10068/8045 8953/10069/8042 8945/10070/8042 -f 8947/10071/8046 8955/10072/8046 8954/10068/8045 8946/10067/8044 -f 8948/10073/8047 8956/10074/8047 8955/10072/8046 8947/10071/8046 -f 8949/10075/8048 8957/10076/8048 8956/10074/8047 8948/10073/8047 -f 8950/10077/8049 8958/10078/8049 8957/10076/8048 8949/10075/8048 -f 8951/10079/8050 8959/10080/8050 8958/10078/8049 8950/10077/8049 -f 8952/10066/8043 8960/10065/8043 8959/10080/8050 8951/10079/8050 -f 8953/10064/8042 8961/10081/8051 8968/10082/8052 8960/10065/8043 -f 8954/10068/8045 8962/10083/8053 8961/10084/8051 8953/10069/8042 -f 8955/10072/8046 8963/10085/8054 8962/10083/8053 8954/10068/8045 -f 8956/10074/8047 8964/10086/8055 8963/10085/8054 8955/10072/8046 -f 8957/10076/8048 8965/10087/8056 8964/10086/8055 8956/10074/8047 -f 8958/10078/8049 8966/10088/8057 8965/10087/8056 8957/10076/8048 -f 8959/10080/8050 8967/10089/8058 8966/10088/8057 8958/10078/8049 -f 8960/10065/8043 8968/10082/8052 8967/10089/8058 8959/10080/8050 -f 8961/10081/8051 8969/10090/8059 8976/10091/8060 8968/10082/8052 -f 8962/10083/8053 8970/10092/8061 8969/10093/8059 8961/10084/8051 -f 8963/10085/8054 8971/10094/8062 8970/10092/8061 8962/10083/8053 -f 8964/10086/8055 8972/10095/8063 8971/10094/8062 8963/10085/8054 -f 8965/10087/8056 8973/10096/8064 8972/10095/8063 8964/10086/8055 -f 8966/10088/8057 8974/10097/8065 8973/10096/8064 8965/10087/8056 -f 8967/10089/8058 8975/10098/8066 8974/10097/8065 8966/10088/8057 -f 8968/10082/8052 8976/10091/8060 8975/10098/8066 8967/10089/8058 -f 8969/10090/8059 8977/10099/8067 8984/10100/8068 8976/10091/8060 -f 8970/10092/8061 8978/10101/8069 8977/10102/8067 8969/10093/8059 -f 8971/10094/8062 8979/10103/8070 8978/10101/8069 8970/10092/8061 -f 8972/10095/8063 8980/10104/8071 8979/10103/8070 8971/10094/8062 -f 8973/10096/8064 8981/10105/8072 8980/10104/8071 8972/10095/8063 -f 8974/10097/8065 8982/10106/8073 8981/10105/8072 8973/10096/8064 -f 8975/10098/8066 8983/10107/8074 8982/10106/8073 8974/10097/8065 -f 8976/10091/8060 8984/10100/8068 8983/10107/8074 8975/10098/8066 -f 8977/10099/8067 8985/10108/8075 8992/10109/8076 8984/10100/8068 -f 8978/10101/8069 8986/10110/8077 8985/10111/8075 8977/10102/8067 -f 8979/10103/8070 8987/10112/8078 8986/10110/8077 8978/10101/8069 -f 8980/10104/8071 8988/10113/8079 8987/10112/8078 8979/10103/8070 -f 8981/10105/8072 8989/10114/8080 8988/10113/8079 8980/10104/8071 -f 8982/10106/8073 8990/10115/8081 8989/10114/8080 8981/10105/8072 -f 8983/10107/8074 8991/10116/8082 8990/10115/8081 8982/10106/8073 -f 8984/10100/8068 8992/10109/8076 8991/10116/8082 8983/10107/8074 -f 8985/10108/8075 8993/10117/8083 9000/10118/8084 8992/10109/8076 -f 8986/10110/8077 8994/10119/8085 8993/10120/8083 8985/10111/8075 -f 8987/10112/8078 8995/10121/8086 8994/10119/8085 8986/10110/8077 -f 8988/10113/8079 8996/10122/8087 8995/10121/8086 8987/10112/8078 -f 8989/10114/8080 8997/10123/8088 8996/10122/8087 8988/10113/8079 -f 8990/10115/8081 8998/10124/8089 8997/10123/8088 8989/10114/8080 -f 8991/10116/8082 8999/10125/8090 8998/10124/8089 8990/10115/8081 -f 8992/10109/8076 9000/10118/8084 8999/10125/8090 8991/10116/8082 -f 8993/10117/8083 9001/10126/8067 9008/10127/8068 9000/10118/8084 -f 8994/10119/8085 9002/10128/8091 9001/10129/8067 8993/10120/8083 -f 8995/10121/8086 9003/10130/8092 9002/10128/8091 8994/10119/8085 -f 8996/10122/8087 9004/10131/8071 9003/10130/8092 8995/10121/8086 -f 8997/10123/8088 9005/10132/8072 9004/10131/8071 8996/10122/8087 -f 8998/10124/8089 9006/10133/8093 9005/10132/8072 8997/10123/8088 -f 8999/10125/8090 9007/10134/8094 9006/10133/8093 8998/10124/8089 -f 9000/10118/8084 9008/10127/8068 9007/10134/8094 8999/10125/8090 -f 9001/10126/8067 9009/10135/8095 9016/10136/8076 9008/10127/8068 -f 9002/10128/8091 9010/10137/8077 9009/10138/8095 9001/10129/8067 -f 9003/10130/8092 9011/10139/8096 9010/10137/8077 9002/10128/8091 -f 9004/10131/8071 9012/10140/8097 9011/10139/8096 9003/10130/8092 -f 9005/10132/8072 9013/10141/8080 9012/10140/8097 9004/10131/8071 -f 9006/10133/8093 9014/10142/8081 9013/10141/8080 9005/10132/8072 -f 9007/10134/8094 9015/10143/8082 9014/10142/8081 9006/10133/8093 -f 9008/10127/8068 9016/10136/8076 9015/10143/8082 9007/10134/8094 -f 9009/10135/8095 9017/10144/8098 9024/10145/8099 9016/10136/8076 -f 9010/10137/8077 9018/10146/8100 9017/10147/8098 9009/10138/8095 -f 9011/10139/8096 9019/10148/8101 9018/10146/8100 9010/10137/8077 -f 9012/10140/8097 9020/10149/8102 9019/10148/8101 9011/10139/8096 -f 9013/10141/8080 9021/10150/8103 9020/10149/8102 9012/10140/8097 -f 9014/10142/8081 9022/10151/8104 9021/10150/8103 9013/10141/8080 -f 9015/10143/8082 9023/10152/8105 9022/10151/8104 9014/10142/8081 -f 9016/10136/8076 9024/10145/8099 9023/10152/8105 9015/10143/8082 -f 9025/10153/8106 9033/10154/8106 9040/10155/8107 9032/10156/8107 -f 9026/10157/8108 9034/10158/8108 9033/10159/8106 9025/10160/8106 -f 9027/10161/8109 9035/10162/8110 9034/10158/8108 9026/10157/8108 -f 9028/10163/8111 9036/10164/8112 9035/10162/8110 9027/10161/8109 -f 9029/10165/8113 9037/10166/8113 9036/10164/8112 9028/10163/8111 -f 9030/10167/8114 9038/10168/8114 9037/10166/8113 9029/10165/8113 -f 9031/10169/8115 9039/10170/8116 9038/10168/8114 9030/10167/8114 -f 9032/10156/8107 9040/10155/8107 9039/10170/8116 9031/10169/8115 -f 9033/10154/8106 9041/10171/8117 9048/10172/8118 9040/10155/8107 -f 9034/10158/8108 9042/10173/8119 9041/10174/8117 9033/10159/8106 -f 9035/10162/8110 9043/10175/8120 9042/10173/8119 9034/10158/8108 -f 9036/10164/8112 9044/10176/8121 9043/10175/8120 9035/10162/8110 -f 9037/10166/8113 9045/10177/8122 9044/10176/8121 9036/10164/8112 -f 9038/10168/8114 9046/10178/8123 9045/10177/8122 9037/10166/8113 -f 9039/10170/8116 9047/10179/8124 9046/10178/8123 9038/10168/8114 -f 9040/10155/8107 9048/10172/8118 9047/10179/8124 9039/10170/8116 -f 9041/10171/8117 9049/10180/8125 9056/10181/8126 9048/10172/8118 -f 9042/10173/8119 9050/10182/8127 9049/10183/8125 9041/10174/8117 -f 9043/10175/8120 9051/10184/8128 9050/10182/8127 9042/10173/8119 -f 9044/10176/8121 9052/10185/8129 9051/10184/8128 9043/10175/8120 -f 9045/10177/8122 9053/10186/8130 9052/10185/8129 9044/10176/8121 -f 9046/10178/8123 9054/10187/8131 9053/10186/8130 9045/10177/8122 -f 9047/10179/8124 9055/10188/8132 9054/10187/8131 9046/10178/8123 -f 9048/10172/8118 9056/10181/8126 9055/10188/8132 9047/10179/8124 -f 9049/10180/8125 9057/10189/8133 9064/10190/8134 9056/10181/8126 -f 9050/10182/8127 9058/10191/8135 9057/10192/8133 9049/10183/8125 -f 9051/10184/8128 9059/10193/8136 9058/10191/8135 9050/10182/8127 -f 9052/10185/8129 9060/10194/8137 9059/10193/8136 9051/10184/8128 -f 9053/10186/8130 9061/10195/8138 9060/10194/8137 9052/10185/8129 -f 9054/10187/8131 9062/10196/8139 9061/10195/8138 9053/10186/8130 -f 9055/10188/8132 9063/10197/8140 9062/10196/8139 9054/10187/8131 -f 9056/10181/8126 9064/10190/8134 9063/10197/8140 9055/10188/8132 -f 9057/10189/8133 9065/10198/8141 9072/10199/8142 9064/10190/8134 -f 9058/10191/8135 9066/10200/8143 9065/10201/8141 9057/10192/8133 -f 9059/10193/8136 9067/10202/8144 9066/10200/8143 9058/10191/8135 -f 9060/10194/8137 9068/10203/8145 9067/10202/8144 9059/10193/8136 -f 9061/10195/8138 9069/10204/8146 9068/10203/8145 9060/10194/8137 -f 9062/10196/8139 9070/10205/8147 9069/10204/8146 9061/10195/8138 -f 9063/10197/8140 9071/10206/8148 9070/10205/8147 9062/10196/8139 -f 9064/10190/8134 9072/10199/8142 9071/10206/8148 9063/10197/8140 -f 9065/10198/8141 9073/10207/8149 9080/10208/8150 9072/10199/8142 -f 9066/10200/8143 9074/10209/8151 9073/10210/8149 9065/10201/8141 -f 9067/10202/8144 9075/10211/8152 9074/10209/8151 9066/10200/8143 -f 9068/10203/8145 9076/10212/8153 9075/10211/8152 9067/10202/8144 -f 9069/10204/8146 9077/10213/8154 9076/10212/8153 9068/10203/8145 -f 9070/10205/8147 9078/10214/8155 9077/10213/8154 9069/10204/8146 -f 9071/10206/8148 9079/10215/8156 9078/10214/8155 9070/10205/8147 -f 9072/10199/8142 9080/10208/8150 9079/10215/8156 9071/10206/8148 -f 9073/10207/8149 9081/10216/8157 9088/10217/8158 9080/10208/8150 -f 9074/10209/8151 9082/10218/8159 9081/10219/8157 9073/10210/8149 -f 9075/10211/8152 9083/10220/8160 9082/10218/8159 9074/10209/8151 -f 9076/10212/8153 9084/10221/8137 9083/10220/8160 9075/10211/8152 -f 9077/10213/8154 9085/10222/8138 9084/10221/8137 9076/10212/8153 -f 9078/10214/8155 9086/10223/8139 9085/10222/8138 9077/10213/8154 -f 9079/10215/8156 9087/10224/8161 9086/10223/8139 9078/10214/8155 -f 9080/10208/8150 9088/10217/8158 9087/10224/8161 9079/10215/8156 -f 9081/10216/8157 9089/10225/8162 9096/10226/8163 9088/10217/8158 -f 9082/10218/8159 9090/10227/8164 9089/10228/8162 9081/10219/8157 -f 9083/10220/8160 9091/10229/8165 9090/10227/8164 9082/10218/8159 -f 9084/10221/8137 9092/10230/8166 9091/10229/8165 9083/10220/8160 -f 9085/10222/8138 9093/10231/8167 9092/10230/8166 9084/10221/8137 -f 9086/10223/8139 9094/10232/8168 9093/10231/8167 9085/10222/8138 -f 9087/10224/8161 9095/10233/8148 9094/10232/8168 9086/10223/8139 -f 9088/10217/8158 9096/10226/8163 9095/10233/8148 9087/10224/8161 -f 9089/10225/8162 9097/10234/8169 9104/10235/8170 9096/10226/8163 -f 9090/10227/8164 9098/10236/8171 9097/10237/8169 9089/10228/8162 -f 9091/10229/8165 9099/10238/8172 9098/10236/8171 9090/10227/8164 -f 9092/10230/8166 9100/10239/8173 9099/10238/8172 9091/10229/8165 -f 9093/10231/8167 9101/10240/8174 9100/10239/8173 9092/10230/8166 -f 9094/10232/8168 9102/10241/8175 9101/10240/8174 9093/10231/8167 -f 9095/10233/8148 9103/10242/8176 9102/10241/8175 9094/10232/8168 -f 9096/10226/8163 9104/10235/8170 9103/10242/8176 9095/10233/8148 -f 9105/10243/8177 9113/10244/8178 9120/10245/8179 9112/10246/8179 -f 9106/10247/8180 9114/10248/8180 9113/10249/8178 9105/10250/8177 -f 9107/10251/8181 9115/10252/8181 9114/10248/8180 9106/10247/8180 -f 9108/10253/8182 9116/10254/8182 9115/10252/8181 9107/10251/8181 -f 9109/10255/8183 9117/10256/8183 9116/10254/8182 9108/10253/8182 -f 9110/10257/8184 9118/10258/8185 9117/10256/8183 9109/10255/8183 -f 9111/10259/8186 9119/10260/8187 9118/10258/8185 9110/10257/8184 -f 9112/10246/8179 9120/10245/8179 9119/10260/8187 9111/10259/8186 -f 9113/10244/8178 9121/10261/8188 9128/10262/8189 9120/10245/8179 -f 9114/10248/8180 9122/10263/8190 9121/10264/8188 9113/10249/8178 -f 9115/10252/8181 9123/10265/8191 9122/10263/8190 9114/10248/8180 -f 9116/10254/8182 9124/10266/8192 9123/10265/8191 9115/10252/8181 -f 9117/10256/8183 9125/10267/8193 9124/10266/8192 9116/10254/8182 -f 9118/10258/8185 9126/10268/8194 9125/10267/8193 9117/10256/8183 -f 9119/10260/8187 9127/10269/8195 9126/10268/8194 9118/10258/8185 -f 9120/10245/8179 9128/10262/8189 9127/10269/8195 9119/10260/8187 -f 9121/10261/8188 9129/10270/8196 9136/10271/8197 9128/10262/8189 -f 9122/10263/8190 9130/10272/8198 9129/10273/8196 9121/10264/8188 -f 9123/10265/8191 9131/10274/8199 9130/10272/8198 9122/10263/8190 -f 9124/10266/8192 9132/10275/8200 9131/10274/8199 9123/10265/8191 -f 9125/10267/8193 9133/10276/8201 9132/10275/8200 9124/10266/8192 -f 9126/10268/8194 9134/10277/8202 9133/10276/8201 9125/10267/8193 -f 9127/10269/8195 9135/10278/8203 9134/10277/8202 9126/10268/8194 -f 9128/10262/8189 9136/10271/8197 9135/10278/8203 9127/10269/8195 -f 9129/10270/8196 9137/10279/8204 9144/10280/8205 9136/10271/8197 -f 9130/10272/8198 9138/10281/8206 9137/10282/8204 9129/10273/8196 -f 9131/10274/8199 9139/10283/8207 9138/10281/8206 9130/10272/8198 -f 9132/10275/8200 9140/10284/8208 9139/10283/8207 9131/10274/8199 -f 9133/10276/8201 9141/10285/8209 9140/10284/8208 9132/10275/8200 -f 9134/10277/8202 9142/10286/8210 9141/10285/8209 9133/10276/8201 -f 9135/10278/8203 9143/10287/8211 9142/10286/8210 9134/10277/8202 -f 9136/10271/8197 9144/10280/8205 9143/10287/8211 9135/10278/8203 -f 9137/10279/8204 9145/10288/8212 9152/10289/8213 9144/10280/8205 -f 9138/10281/8206 9146/10290/8214 9145/10291/8212 9137/10282/8204 -f 9139/10283/8207 9147/10292/8215 9146/10290/8214 9138/10281/8206 -f 9140/10284/8208 9148/10293/8216 9147/10292/8215 9139/10283/8207 -f 9141/10285/8209 9149/10294/8217 9148/10293/8216 9140/10284/8208 -f 9142/10286/8210 9150/10295/8218 9149/10294/8217 9141/10285/8209 -f 9143/10287/8211 9151/10296/8219 9150/10295/8218 9142/10286/8210 -f 9144/10280/8205 9152/10289/8213 9151/10296/8219 9143/10287/8211 -f 9145/10288/8212 9153/10297/8220 9160/10298/8221 9152/10289/8213 -f 9146/10290/8214 9154/10299/8222 9153/10300/8220 9145/10291/8212 -f 9147/10292/8215 9155/10301/8223 9154/10299/8222 9146/10290/8214 -f 9148/10293/8216 9156/10302/8224 9155/10301/8223 9147/10292/8215 -f 9149/10294/8217 9157/10303/8225 9156/10302/8224 9148/10293/8216 -f 9150/10295/8218 9158/10304/8226 9157/10303/8225 9149/10294/8217 -f 9151/10296/8219 9159/10305/8227 9158/10304/8226 9150/10295/8218 -f 9152/10289/8213 9160/10298/8221 9159/10305/8227 9151/10296/8219 -f 9153/10297/8220 9161/10306/8228 9168/10307/8229 9160/10298/8221 -f 9154/10299/8222 9162/10308/8230 9161/10309/8228 9153/10300/8220 -f 9155/10301/8223 9163/10310/8207 9162/10308/8230 9154/10299/8222 -f 9156/10302/8224 9164/10311/8208 9163/10310/8207 9155/10301/8223 -f 9157/10303/8225 9165/10312/8231 9164/10311/8208 9156/10302/8224 -f 9158/10304/8226 9166/10313/8232 9165/10312/8231 9157/10303/8225 -f 9159/10305/8227 9167/10314/8211 9166/10313/8232 9158/10304/8226 -f 9160/10298/8221 9168/10307/8229 9167/10314/8211 9159/10305/8227 -f 9161/10306/8228 9169/10315/8233 9176/10316/8234 9168/10307/8229 -f 9162/10308/8230 9170/10317/8235 9169/10318/8233 9161/10309/8228 -f 9163/10310/8207 9171/10319/8236 9170/10317/8235 9162/10308/8230 -f 9164/10311/8208 9172/10320/8237 9171/10319/8236 9163/10310/8207 -f 9165/10312/8231 9173/10321/8217 9172/10320/8237 9164/10311/8208 -f 9166/10313/8232 9174/10322/8238 9173/10321/8217 9165/10312/8231 -f 9167/10314/8211 9175/10323/8239 9174/10322/8238 9166/10313/8232 -f 9168/10307/8229 9176/10316/8234 9175/10323/8239 9167/10314/8211 -f 9169/10315/8233 9177/10324/8240 9184/10325/8241 9176/10316/8234 -f 9170/10317/8235 9178/10326/8242 9177/10327/8240 9169/10318/8233 -f 9171/10319/8236 9179/10328/8243 9178/10326/8242 9170/10317/8235 -f 9172/10320/8237 9180/10329/8244 9179/10328/8243 9171/10319/8236 -f 9173/10321/8217 9181/10330/8245 9180/10329/8244 9172/10320/8237 -f 9174/10322/8238 9182/10331/8246 9181/10330/8245 9173/10321/8217 -f 9175/10323/8239 9183/10332/8247 9182/10331/8246 9174/10322/8238 -f 9176/10316/8234 9184/10325/8241 9183/10332/8247 9175/10323/8239 -f 9185/10333/8248 9193/10334/8248 9200/10335/8249 9192/10336/8249 -f 9186/10337/8250 9194/10338/8250 9193/10339/8248 9185/10340/8248 -f 9187/10341/8251 9195/10342/8251 9194/10338/8250 9186/10337/8250 -f 9188/10343/8252 9196/10344/8252 9195/10342/8251 9187/10341/8251 -f 9189/10345/8253 9197/10346/8253 9196/10344/8252 9188/10343/8252 -f 9190/10347/8254 9198/10348/8254 9197/10346/8253 9189/10345/8253 -f 9191/10349/8255 9199/10350/8255 9198/10348/8254 9190/10347/8254 -f 9192/10336/8249 9200/10335/8249 9199/10350/8255 9191/10349/8255 -f 9193/10334/8248 9201/10351/8256 9208/10352/8257 9200/10335/8249 -f 9194/10338/8250 9202/10353/8258 9201/10354/8256 9193/10339/8248 -f 9195/10342/8251 9203/10355/8259 9202/10353/8258 9194/10338/8250 -f 9196/10344/8252 9204/10356/8260 9203/10355/8259 9195/10342/8251 -f 9197/10346/8253 9205/10357/8261 9204/10356/8260 9196/10344/8252 -f 9198/10348/8254 9206/10358/8262 9205/10357/8261 9197/10346/8253 -f 9199/10350/8255 9207/10359/8263 9206/10358/8262 9198/10348/8254 -f 9200/10335/8249 9208/10352/8257 9207/10359/8263 9199/10350/8255 -f 9201/10351/8256 9209/10360/8264 9216/10361/8265 9208/10352/8257 -f 9202/10353/8258 9210/10362/8266 9209/10363/8264 9201/10354/8256 -f 9203/10355/8259 9211/10364/8267 9210/10362/8266 9202/10353/8258 -f 9204/10356/8260 9212/10365/8268 9211/10364/8267 9203/10355/8259 -f 9205/10357/8261 9213/10366/8269 9212/10365/8268 9204/10356/8260 -f 9206/10358/8262 9214/10367/8270 9213/10366/8269 9205/10357/8261 -f 9207/10359/8263 9215/10368/8271 9214/10367/8270 9206/10358/8262 -f 9208/10352/8257 9216/10361/8265 9215/10368/8271 9207/10359/8263 -f 9209/10360/8264 9217/10369/8272 9224/10370/8273 9216/10361/8265 -f 9210/10362/8266 9218/10371/8274 9217/10372/8272 9209/10363/8264 -f 9211/10364/8267 9219/10373/8275 9218/10371/8274 9210/10362/8266 -f 9212/10365/8268 9220/10374/8276 9219/10373/8275 9211/10364/8267 -f 9213/10366/8269 9221/10375/8277 9220/10374/8276 9212/10365/8268 -f 9214/10367/8270 9222/10376/8278 9221/10375/8277 9213/10366/8269 -f 9215/10368/8271 9223/10377/8279 9222/10376/8278 9214/10367/8270 -f 9216/10361/8265 9224/10370/8273 9223/10377/8279 9215/10368/8271 -f 9217/10369/8272 9225/10378/8280 9232/10379/8281 9224/10370/8273 -f 9218/10371/8274 9226/10380/8282 9225/10381/8280 9217/10372/8272 -f 9219/10373/8275 9227/10382/8283 9226/10380/8282 9218/10371/8274 -f 9220/10374/8276 9228/10383/8284 9227/10382/8283 9219/10373/8275 -f 9221/10375/8277 9229/10384/8285 9228/10383/8284 9220/10374/8276 -f 9222/10376/8278 9230/10385/8286 9229/10384/8285 9221/10375/8277 -f 9223/10377/8279 9231/10386/8287 9230/10385/8286 9222/10376/8278 -f 9224/10370/8273 9232/10379/8281 9231/10386/8287 9223/10377/8279 -f 9225/10378/8280 9233/10387/8288 9240/10388/8289 9232/10379/8281 -f 9226/10380/8282 9234/10389/8290 9233/10390/8288 9225/10381/8280 -f 9227/10382/8283 9235/10391/8291 9234/10389/8290 9226/10380/8282 -f 9228/10383/8284 9236/10392/8292 9235/10391/8291 9227/10382/8283 -f 9229/10384/8285 9237/10393/8293 9236/10392/8292 9228/10383/8284 -f 9230/10385/8286 9238/10394/8294 9237/10393/8293 9229/10384/8285 -f 9231/10386/8287 9239/10395/8295 9238/10394/8294 9230/10385/8286 -f 9232/10379/8281 9240/10388/8289 9239/10395/8295 9231/10386/8287 -f 9233/10387/8288 9241/10396/8296 9248/10397/8297 9240/10388/8289 -f 9234/10389/8290 9242/10398/8298 9241/10399/8296 9233/10390/8288 -f 9235/10391/8291 9243/10400/8299 9242/10398/8298 9234/10389/8290 -f 9236/10392/8292 9244/10401/8300 9243/10400/8299 9235/10391/8291 -f 9237/10393/8293 9245/10402/8301 9244/10401/8300 9236/10392/8292 -f 9238/10394/8294 9246/10403/8302 9245/10402/8301 9237/10393/8293 -f 9239/10395/8295 9247/10404/8303 9246/10403/8302 9238/10394/8294 -f 9240/10388/8289 9248/10397/8297 9247/10404/8303 9239/10395/8295 -f 9241/10396/8296 9249/10405/8304 9256/10406/8305 9248/10397/8297 -f 9242/10398/8298 9250/10407/8306 9249/10408/8304 9241/10399/8296 -f 9243/10400/8299 9251/10409/8307 9250/10407/8306 9242/10398/8298 -f 9244/10401/8300 9252/10410/8308 9251/10409/8307 9243/10400/8299 -f 9245/10402/8301 9253/10411/8309 9252/10410/8308 9244/10401/8300 -f 9246/10403/8302 9254/10412/8310 9253/10411/8309 9245/10402/8301 -f 9247/10404/8303 9255/10413/8311 9254/10412/8310 9246/10403/8302 -f 9248/10397/8297 9256/10406/8305 9255/10413/8311 9247/10404/8303 -f 9249/10405/8304 9257/10414/8312 9264/10415/8313 9256/10406/8305 -f 9250/10407/8306 9258/10416/8314 9257/10417/8312 9249/10408/8304 -f 9251/10409/8307 9259/10418/8315 9258/10416/8314 9250/10407/8306 -f 9252/10410/8308 9260/10419/8316 9259/10418/8315 9251/10409/8307 -f 9253/10411/8309 9261/10420/8317 9260/10419/8316 9252/10410/8308 -f 9254/10412/8310 9262/10421/8318 9261/10420/8317 9253/10411/8309 -f 9255/10413/8311 9263/10422/8319 9262/10421/8318 9254/10412/8310 -f 9256/10406/8305 9264/10415/8313 9263/10422/8319 9255/10413/8311 -f 9265/10423/8320 9273/10424/8320 9280/10425/8321 9272/10426/8321 -f 9266/10427/8322 9274/10428/8323 9273/10429/8320 9265/10430/8320 -f 9267/10431/8324 9275/10432/8325 9274/10428/8323 9266/10427/8322 -f 9268/10433/8326 9276/10434/8326 9275/10432/8325 9267/10431/8324 -f 9269/10435/8327 9277/10436/8327 9276/10434/8326 9268/10433/8326 -f 9270/10437/8328 9278/10438/8328 9277/10436/8327 9269/10435/8327 -f 9271/10439/8329 9279/10440/8329 9278/10438/8328 9270/10437/8328 -f 9272/10426/8321 9280/10425/8321 9279/10440/8329 9271/10439/8329 -f 9273/10424/8320 9281/10441/8330 9288/10442/8331 9280/10425/8321 -f 9274/10428/8323 9282/10443/8332 9281/10444/8330 9273/10429/8320 -f 9275/10432/8325 9283/10445/8333 9282/10443/8332 9274/10428/8323 -f 9276/10434/8326 9284/10446/8334 9283/10445/8333 9275/10432/8325 -f 9277/10436/8327 9285/10447/8335 9284/10446/8334 9276/10434/8326 -f 9278/10438/8328 9286/10448/8336 9285/10447/8335 9277/10436/8327 -f 9279/10440/8329 9287/10449/8337 9286/10448/8336 9278/10438/8328 -f 9280/10425/8321 9288/10442/8331 9287/10449/8337 9279/10440/8329 -f 9281/10441/8330 9289/10450/8338 9296/10451/8339 9288/10442/8331 -f 9282/10443/8332 9290/10452/8340 9289/10453/8338 9281/10444/8330 -f 9283/10445/8333 9291/10454/8341 9290/10452/8340 9282/10443/8332 -f 9284/10446/8334 9292/10455/8342 9291/10454/8341 9283/10445/8333 -f 9285/10447/8335 9293/10456/8343 9292/10455/8342 9284/10446/8334 -f 9286/10448/8336 9294/10457/8344 9293/10456/8343 9285/10447/8335 -f 9287/10449/8337 9295/10458/8345 9294/10457/8344 9286/10448/8336 -f 9288/10442/8331 9296/10451/8339 9295/10458/8345 9287/10449/8337 -f 9289/10450/8338 9297/10459/8346 9304/10460/8347 9296/10451/8339 -f 9290/10452/8340 9298/10461/8348 9297/10462/8346 9289/10453/8338 -f 9291/10454/8341 9299/10463/8349 9298/10461/8348 9290/10452/8340 -f 9292/10455/8342 9300/10464/8350 9299/10463/8349 9291/10454/8341 -f 9293/10456/8343 9301/10465/8351 9300/10464/8350 9292/10455/8342 -f 9294/10457/8344 9302/10466/8352 9301/10465/8351 9293/10456/8343 -f 9295/10458/8345 9303/10467/8353 9302/10466/8352 9294/10457/8344 -f 9296/10451/8339 9304/10460/8347 9303/10467/8353 9295/10458/8345 -f 9297/10459/8346 9305/10468/8354 9312/10469/8355 9304/10460/8347 -f 9298/10461/8348 9306/10470/8356 9305/10471/8354 9297/10462/8346 -f 9299/10463/8349 9307/10472/8357 9306/10470/8356 9298/10461/8348 -f 9300/10464/8350 9308/10473/8358 9307/10472/8357 9299/10463/8349 -f 9301/10465/8351 9309/10474/8359 9308/10473/8358 9300/10464/8350 -f 9302/10466/8352 9310/10475/8360 9309/10474/8359 9301/10465/8351 -f 9303/10467/8353 9311/10476/8361 9310/10475/8360 9302/10466/8352 -f 9304/10460/8347 9312/10469/8355 9311/10476/8361 9303/10467/8353 -f 9305/10468/8354 9313/10477/8362 9320/10478/8363 9312/10469/8355 -f 9306/10470/8356 9314/10479/8364 9313/10480/8362 9305/10471/8354 -f 9307/10472/8357 9315/10481/8365 9314/10479/8364 9306/10470/8356 -f 9308/10473/8358 9316/10482/8366 9315/10481/8365 9307/10472/8357 -f 9309/10474/8359 9317/10483/8367 9316/10482/8366 9308/10473/8358 -f 9310/10475/8360 9318/10484/8368 9317/10483/8367 9309/10474/8359 -f 9311/10476/8361 9319/10485/8369 9318/10484/8368 9310/10475/8360 -f 9312/10469/8355 9320/10478/8363 9319/10485/8369 9311/10476/8361 -f 9313/10477/8362 9321/10486/8370 9328/10487/8371 9320/10478/8363 -f 9314/10479/8364 9322/10488/8348 9321/10489/8370 9313/10480/8362 -f 9315/10481/8365 9323/10490/8349 9322/10488/8348 9314/10479/8364 -f 9316/10482/8366 9324/10491/8350 9323/10490/8349 9315/10481/8365 -f 9317/10483/8367 9325/10492/8351 9324/10491/8350 9316/10482/8366 -f 9318/10484/8368 9326/10493/8372 9325/10492/8351 9317/10483/8367 -f 9319/10485/8369 9327/10494/8373 9326/10493/8372 9318/10484/8368 -f 9320/10478/8363 9328/10487/8371 9327/10494/8373 9319/10485/8369 -f 9321/10486/8370 9329/10495/8354 9336/10496/8374 9328/10487/8371 -f 9322/10488/8348 9330/10497/8356 9329/10498/8354 9321/10489/8370 -f 9323/10490/8349 9331/10499/8375 9330/10497/8356 9322/10488/8348 -f 9324/10491/8350 9332/10500/8376 9331/10499/8375 9323/10490/8349 -f 9325/10492/8351 9333/10501/8377 9332/10500/8376 9324/10491/8350 -f 9326/10493/8372 9334/10502/8378 9333/10501/8377 9325/10492/8351 -f 9327/10494/8373 9335/10503/8379 9334/10502/8378 9326/10493/8372 -f 9328/10487/8371 9336/10496/8374 9335/10503/8379 9327/10494/8373 -f 9329/10495/8354 9337/10504/8380 9344/10505/8381 9336/10496/8374 -f 9330/10497/8356 9338/10506/8364 9337/10507/8380 9329/10498/8354 -f 9331/10499/8375 9339/10508/8382 9338/10506/8364 9330/10497/8356 -f 9332/10500/8376 9340/10509/8383 9339/10508/8382 9331/10499/8375 -f 9333/10501/8377 9341/10510/8384 9340/10509/8383 9332/10500/8376 -f 9334/10502/8378 9342/10511/8385 9341/10510/8384 9333/10501/8377 -f 9335/10503/8379 9343/10512/8386 9342/10511/8385 9334/10502/8378 -f 9336/10496/8374 9344/10505/8381 9343/10512/8386 9335/10503/8379 -f 9345/10513/8387 9353/10514/8387 9360/10515/8388 9352/10516/8388 -f 9346/10517/8389 9354/10518/8389 9353/10519/8387 9345/10520/8387 -f 9347/10521/8390 9355/10522/8391 9354/10518/8389 9346/10517/8389 -f 9348/10523/8392 9356/10524/8392 9355/10522/8391 9347/10521/8390 -f 9349/10525/8393 9357/10526/8393 9356/10524/8392 9348/10523/8392 -f 9350/10527/8394 9358/10528/8394 9357/10526/8393 9349/10525/8393 -f 9351/10529/8395 9359/10530/8395 9358/10528/8394 9350/10527/8394 -f 9352/10516/8388 9360/10515/8388 9359/10530/8395 9351/10529/8395 -f 9353/10514/8387 9361/10531/8396 9368/10532/8397 9360/10515/8388 -f 9354/10518/8389 9362/10533/8398 9361/10534/8396 9353/10519/8387 -f 9355/10522/8391 9363/10535/8399 9362/10533/8398 9354/10518/8389 -f 9356/10524/8392 9364/10536/8400 9363/10535/8399 9355/10522/8391 -f 9357/10526/8393 9365/10537/8401 9364/10536/8400 9356/10524/8392 -f 9358/10528/8394 9366/10538/8402 9365/10537/8401 9357/10526/8393 -f 9359/10530/8395 9367/10539/8403 9366/10538/8402 9358/10528/8394 -f 9360/10515/8388 9368/10532/8397 9367/10539/8403 9359/10530/8395 -f 9361/10531/8396 9369/10540/8404 9376/10541/8405 9368/10532/8397 -f 9362/10533/8398 9370/10542/8406 9369/10543/8404 9361/10534/8396 -f 9363/10535/8399 9371/10544/8407 9370/10542/8406 9362/10533/8398 -f 9364/10536/8400 9372/10545/8408 9371/10544/8407 9363/10535/8399 -f 9365/10537/8401 9373/10546/8409 9372/10545/8408 9364/10536/8400 -f 9366/10538/8402 9374/10547/8410 9373/10546/8409 9365/10537/8401 -f 9367/10539/8403 9375/10548/8411 9374/10547/8410 9366/10538/8402 -f 9368/10532/8397 9376/10541/8405 9375/10548/8411 9367/10539/8403 -f 9369/10540/8404 9377/10549/8412 9384/10550/8413 9376/10541/8405 -f 9370/10542/8406 9378/10551/8414 9377/10552/8412 9369/10543/8404 -f 9371/10544/8407 9379/10553/8415 9378/10551/8414 9370/10542/8406 -f 9372/10545/8408 9380/10554/8416 9379/10553/8415 9371/10544/8407 -f 9373/10546/8409 9381/10555/8417 9380/10554/8416 9372/10545/8408 -f 9374/10547/8410 9382/10556/8418 9381/10555/8417 9373/10546/8409 -f 9375/10548/8411 9383/10557/8419 9382/10556/8418 9374/10547/8410 -f 9376/10541/8405 9384/10550/8413 9383/10557/8419 9375/10548/8411 -f 9377/10549/8412 9385/10558/8420 9392/10559/8421 9384/10550/8413 -f 9378/10551/8414 9386/10560/8422 9385/10561/8420 9377/10552/8412 -f 9379/10553/8415 9387/10562/8423 9386/10560/8422 9378/10551/8414 -f 9380/10554/8416 9388/10563/8424 9387/10562/8423 9379/10553/8415 -f 9381/10555/8417 9389/10564/8425 9388/10563/8424 9380/10554/8416 -f 9382/10556/8418 9390/10565/8426 9389/10564/8425 9381/10555/8417 -f 9383/10557/8419 9391/10566/8427 9390/10565/8426 9382/10556/8418 -f 9384/10550/8413 9392/10559/8421 9391/10566/8427 9383/10557/8419 -f 9385/10558/8420 9393/10567/8428 9400/10568/8429 9392/10559/8421 -f 9386/10560/8422 9394/10569/8430 9393/10570/8428 9385/10561/8420 -f 9387/10562/8423 9395/10571/8431 9394/10569/8430 9386/10560/8422 -f 9388/10563/8424 9396/10572/8432 9395/10571/8431 9387/10562/8423 -f 9389/10564/8425 9397/10573/8433 9396/10572/8432 9388/10563/8424 -f 9390/10565/8426 9398/10574/8434 9397/10573/8433 9389/10564/8425 -f 9391/10566/8427 9399/10575/8435 9398/10574/8434 9390/10565/8426 -f 9392/10559/8421 9400/10568/8429 9399/10575/8435 9391/10566/8427 -f 9393/10567/8428 9401/10576/8436 9408/10577/8413 9400/10568/8429 -f 9394/10569/8430 9402/10578/8414 9401/10579/8436 9393/10570/8428 -f 9395/10571/8431 9403/10580/8437 9402/10578/8414 9394/10569/8430 -f 9396/10572/8432 9404/10581/8416 9403/10580/8437 9395/10571/8431 -f 9397/10573/8433 9405/10582/8438 9404/10581/8416 9396/10572/8432 -f 9398/10574/8434 9406/10583/8439 9405/10582/8438 9397/10573/8433 -f 9399/10575/8435 9407/10584/8440 9406/10583/8439 9398/10574/8434 -f 9400/10568/8429 9408/10577/8413 9407/10584/8440 9399/10575/8435 -f 9401/10576/8436 9409/10585/8441 9416/10586/8442 9408/10577/8413 -f 9402/10578/8414 9410/10587/8443 9409/10588/8441 9401/10579/8436 -f 9403/10580/8437 9411/10589/8444 9410/10587/8443 9402/10578/8414 -f 9404/10581/8416 9412/10590/8445 9411/10589/8444 9403/10580/8437 -f 9405/10582/8438 9413/10591/8446 9412/10590/8445 9404/10581/8416 -f 9406/10583/8439 9414/10592/8447 9413/10591/8446 9405/10582/8438 -f 9407/10584/8440 9415/10593/8448 9414/10592/8447 9406/10583/8439 -f 9408/10577/8413 9416/10586/8442 9415/10593/8448 9407/10584/8440 -f 9409/10585/8441 9417/10594/8449 9424/10595/8450 9416/10586/8442 -f 9410/10587/8443 9418/10596/8451 9417/10597/8449 9409/10588/8441 -f 9411/10589/8444 9419/10598/8452 9418/10596/8451 9410/10587/8443 -f 9412/10590/8445 9420/10599/8432 9419/10598/8452 9411/10589/8444 -f 9413/10591/8446 9421/10600/8433 9420/10599/8432 9412/10590/8445 -f 9414/10592/8447 9422/10601/8453 9421/10600/8433 9413/10591/8446 -f 9415/10593/8448 9423/10602/8454 9422/10601/8453 9414/10592/8447 -f 9416/10586/8442 9424/10595/8450 9423/10602/8454 9415/10593/8448 -f 9425/10603/8455 9433/10604/8456 9440/10605/8457 9432/10606/8457 -f 9426/10607/8458 9434/10608/8458 9433/10609/8456 9425/10610/8455 -f 9427/10611/8459 9435/10612/8459 9434/10608/8458 9426/10607/8458 -f 9428/10613/8460 9436/10614/8460 9435/10612/8459 9427/10611/8459 -f 9429/10615/8461 9437/10616/8461 9436/10614/8460 9428/10613/8460 -f 9430/10617/8462 9438/10618/8462 9437/10616/8461 9429/10615/8461 -f 9431/10619/8463 9439/10620/8463 9438/10618/8462 9430/10617/8462 -f 9432/10606/8457 9440/10605/8457 9439/10620/8463 9431/10619/8463 -f 9433/10604/8456 9441/10621/8464 9448/10622/8465 9440/10605/8457 -f 9434/10608/8458 9442/10623/8466 9441/10624/8464 9433/10609/8456 -f 9435/10612/8459 9443/10625/8467 9442/10623/8466 9434/10608/8458 -f 9436/10614/8460 9444/10626/8468 9443/10625/8467 9435/10612/8459 -f 9437/10616/8461 9445/10627/8469 9444/10626/8468 9436/10614/8460 -f 9438/10618/8462 9446/10628/8470 9445/10627/8469 9437/10616/8461 -f 9439/10620/8463 9447/10629/8471 9446/10628/8470 9438/10618/8462 -f 9440/10605/8457 9448/10622/8465 9447/10629/8471 9439/10620/8463 -f 9441/10621/8464 9449/10630/8472 9456/10631/8473 9448/10622/8465 -f 9442/10623/8466 9450/10632/8474 9449/10633/8472 9441/10624/8464 -f 9443/10625/8467 9451/10634/8475 9450/10632/8474 9442/10623/8466 -f 9444/10626/8468 9452/10635/8476 9451/10634/8475 9443/10625/8467 -f 9445/10627/8469 9453/10636/8477 9452/10635/8476 9444/10626/8468 -f 9446/10628/8470 9454/10637/8478 9453/10636/8477 9445/10627/8469 -f 9447/10629/8471 9455/10638/8479 9454/10637/8478 9446/10628/8470 -f 9448/10622/8465 9456/10631/8473 9455/10638/8479 9447/10629/8471 -f 9449/10630/8472 9457/10639/8480 9464/10640/8481 9456/10631/8473 -f 9450/10632/8474 9458/10641/8482 9457/10642/8480 9449/10633/8472 -f 9451/10634/8475 9459/10643/8483 9458/10641/8482 9450/10632/8474 -f 9452/10635/8476 9460/10644/8484 9459/10643/8483 9451/10634/8475 -f 9453/10636/8477 9461/10645/8485 9460/10644/8484 9452/10635/8476 -f 9454/10637/8478 9462/10646/8486 9461/10645/8485 9453/10636/8477 -f 9455/10638/8479 9463/10647/8487 9462/10646/8486 9454/10637/8478 -f 9456/10631/8473 9464/10640/8481 9463/10647/8487 9455/10638/8479 -f 9457/10639/8480 9465/10648/8488 9472/10649/8489 9464/10640/8481 -f 9458/10641/8482 9466/10650/8490 9465/10651/8488 9457/10642/8480 -f 9459/10643/8483 9467/10652/8491 9466/10650/8490 9458/10641/8482 -f 9460/10644/8484 9468/10653/8492 9467/10652/8491 9459/10643/8483 -f 9461/10645/8485 9469/10654/8493 9468/10653/8492 9460/10644/8484 -f 9462/10646/8486 9470/10655/8494 9469/10654/8493 9461/10645/8485 -f 9463/10647/8487 9471/10656/8495 9470/10655/8494 9462/10646/8486 -f 9464/10640/8481 9472/10649/8489 9471/10656/8495 9463/10647/8487 -f 9465/10648/8488 9473/10657/8496 9480/10658/8497 9472/10649/8489 -f 9466/10650/8490 9474/10659/8498 9473/10660/8496 9465/10651/8488 -f 9467/10652/8491 9475/10661/8499 9474/10659/8498 9466/10650/8490 -f 9468/10653/8492 9476/10662/8500 9475/10661/8499 9467/10652/8491 -f 9469/10654/8493 9477/10663/8501 9476/10662/8500 9468/10653/8492 -f 9470/10655/8494 9478/10664/8502 9477/10663/8501 9469/10654/8493 -f 9471/10656/8495 9479/10665/8503 9478/10664/8502 9470/10655/8494 -f 9472/10649/8489 9480/10658/8497 9479/10665/8503 9471/10656/8495 -f 9473/10657/8496 9481/10666/8504 9488/10667/8481 9480/10658/8497 -f 9474/10659/8498 9482/10668/8482 9481/10669/8504 9473/10660/8496 -f 9475/10661/8499 9483/10670/8483 9482/10668/8482 9474/10659/8498 -f 9476/10662/8500 9484/10671/8505 9483/10670/8483 9475/10661/8499 -f 9477/10663/8501 9485/10672/8485 9484/10671/8505 9476/10662/8500 -f 9478/10664/8502 9486/10673/8486 9485/10672/8485 9477/10663/8501 -f 9479/10665/8503 9487/10674/8506 9486/10673/8486 9478/10664/8502 -f 9480/10658/8497 9488/10667/8481 9487/10674/8506 9479/10665/8503 -f 9481/10666/8504 9489/10675/8507 9496/10676/8508 9488/10667/8481 -f 9482/10668/8482 9490/10677/8509 9489/10678/8507 9481/10669/8504 -f 9483/10670/8483 9491/10679/8510 9490/10677/8509 9482/10668/8482 -f 9484/10671/8505 9492/10680/8511 9491/10679/8510 9483/10670/8483 -f 9485/10672/8485 9493/10681/8493 9492/10680/8511 9484/10671/8505 -f 9486/10673/8486 9494/10682/8512 9493/10681/8493 9485/10672/8485 -f 9487/10674/8506 9495/10683/8495 9494/10682/8512 9486/10673/8486 -f 9488/10667/8481 9496/10676/8508 9495/10683/8495 9487/10674/8506 -f 9489/10675/8507 9497/10684/8513 9504/10685/8514 9496/10676/8508 -f 9490/10677/8509 9498/10686/8515 9497/10687/8513 9489/10678/8507 -f 9491/10679/8510 9499/10688/8516 9498/10686/8515 9490/10677/8509 -f 9492/10680/8511 9500/10689/8517 9499/10688/8516 9491/10679/8510 -f 9493/10681/8493 9501/10690/8518 9500/10689/8517 9492/10680/8511 -f 9494/10682/8512 9502/10691/8519 9501/10690/8518 9493/10681/8493 -f 9495/10683/8495 9503/10692/8520 9502/10691/8519 9494/10682/8512 -f 9496/10676/8508 9504/10685/8514 9503/10692/8520 9495/10683/8495 -f 9505/10693/8521 9513/10694/8521 9520/10695/8522 9512/10696/8522 -f 9506/10697/8523 9514/10698/8523 9513/10699/8521 9505/10700/8521 -f 9507/10701/8524 9515/10702/8524 9514/10698/8523 9506/10697/8523 -f 9508/10703/8525 9516/10704/8525 9515/10702/8524 9507/10701/8524 -f 9509/10705/8526 9517/10706/8527 9516/10704/8525 9508/10703/8525 -f 9510/10707/8528 9518/10708/8529 9517/10706/8527 9509/10705/8526 -f 9511/10709/8530 9519/10710/8530 9518/10708/8529 9510/10707/8528 -f 9512/10696/8522 9520/10695/8522 9519/10710/8530 9511/10709/8530 -f 9513/10694/8521 9521/10711/8531 9528/10712/8532 9520/10695/8522 -f 9514/10698/8523 9522/10713/8533 9521/10714/8531 9513/10699/8521 -f 9515/10702/8524 9523/10715/8534 9522/10713/8533 9514/10698/8523 -f 9516/10704/8525 9524/10716/8535 9523/10715/8534 9515/10702/8524 -f 9517/10706/8527 9525/10717/8536 9524/10716/8535 9516/10704/8525 -f 9518/10708/8529 9526/10718/8537 9525/10717/8536 9517/10706/8527 -f 9519/10710/8530 9527/10719/8538 9526/10718/8537 9518/10708/8529 -f 9520/10695/8522 9528/10712/8532 9527/10719/8538 9519/10710/8530 -f 9521/10711/8531 9529/10720/8539 9536/10721/8540 9528/10712/8532 -f 9522/10713/8533 9530/10722/8541 9529/10723/8539 9521/10714/8531 -f 9523/10715/8534 9531/10724/8542 9530/10722/8541 9522/10713/8533 -f 9524/10716/8535 9532/10725/8543 9531/10724/8542 9523/10715/8534 -f 9525/10717/8536 9533/10726/8544 9532/10725/8543 9524/10716/8535 -f 9526/10718/8537 9534/10727/8545 9533/10726/8544 9525/10717/8536 -f 9527/10719/8538 9535/10728/8546 9534/10727/8545 9526/10718/8537 -f 9528/10712/8532 9536/10721/8540 9535/10728/8546 9527/10719/8538 -f 9529/10720/8539 9537/10729/8547 9544/10730/8548 9536/10721/8540 -f 9530/10722/8541 9538/10731/8549 9537/10732/8547 9529/10723/8539 -f 9531/10724/8542 9539/10733/8550 9538/10731/8549 9530/10722/8541 -f 9532/10725/8543 9540/10734/8551 9539/10733/8550 9531/10724/8542 -f 9533/10726/8544 9541/10735/8552 9540/10734/8551 9532/10725/8543 -f 9534/10727/8545 9542/10736/8553 9541/10735/8552 9533/10726/8544 -f 9535/10728/8546 9543/10737/8554 9542/10736/8553 9534/10727/8545 -f 9536/10721/8540 9544/10730/8548 9543/10737/8554 9535/10728/8546 -f 9537/10729/8547 9545/10738/8555 9552/10739/8556 9544/10730/8548 -f 9538/10731/8549 9546/10740/8557 9545/10741/8555 9537/10732/8547 -f 9539/10733/8550 9547/10742/8558 9546/10740/8557 9538/10731/8549 -f 9540/10734/8551 9548/10743/8559 9547/10742/8558 9539/10733/8550 -f 9541/10735/8552 9549/10744/8560 9548/10743/8559 9540/10734/8551 -f 9542/10736/8553 9550/10745/8561 9549/10744/8560 9541/10735/8552 -f 9543/10737/8554 9551/10746/8562 9550/10745/8561 9542/10736/8553 -f 9544/10730/8548 9552/10739/8556 9551/10746/8562 9543/10737/8554 -f 9545/10738/8555 9553/10747/8563 9560/10748/8564 9552/10739/8556 -f 9546/10740/8557 9554/10749/8565 9553/10750/8563 9545/10741/8555 -f 9547/10742/8558 9555/10751/8566 9554/10749/8565 9546/10740/8557 -f 9548/10743/8559 9556/10752/8567 9555/10751/8566 9547/10742/8558 -f 9549/10744/8560 9557/10753/8568 9556/10752/8567 9548/10743/8559 -f 9550/10745/8561 9558/10754/8569 9557/10753/8568 9549/10744/8560 -f 9551/10746/8562 9559/10755/8570 9558/10754/8569 9550/10745/8561 -f 9552/10739/8556 9560/10748/8564 9559/10755/8570 9551/10746/8562 -f 9553/10747/8563 9561/10756/8547 9568/10757/8571 9560/10748/8564 -f 9554/10749/8565 9562/10758/8549 9561/10759/8547 9553/10750/8563 -f 9555/10751/8566 9563/10760/8550 9562/10758/8549 9554/10749/8565 -f 9556/10752/8567 9564/10761/8551 9563/10760/8550 9555/10751/8566 -f 9557/10753/8568 9565/10762/8572 9564/10761/8551 9556/10752/8567 -f 9558/10754/8569 9566/10763/8553 9565/10762/8572 9557/10753/8568 -f 9559/10755/8570 9567/10764/8573 9566/10763/8553 9558/10754/8569 -f 9560/10748/8564 9568/10757/8571 9567/10764/8573 9559/10755/8570 -f 9561/10756/8547 9569/10765/8574 9576/10766/8575 9568/10757/8571 -f 9562/10758/8549 9570/10767/8576 9569/10768/8574 9561/10759/8547 -f 9563/10760/8550 9571/10769/8577 9570/10767/8576 9562/10758/8549 -f 9564/10761/8551 9572/10770/8578 9571/10769/8577 9563/10760/8550 -f 9565/10762/8572 9573/10771/8579 9572/10770/8578 9564/10761/8551 -f 9566/10763/8553 9574/10772/8561 9573/10771/8579 9565/10762/8572 -f 9567/10764/8573 9575/10773/8580 9574/10772/8561 9566/10763/8553 -f 9568/10757/8571 9576/10766/8575 9575/10773/8580 9567/10764/8573 -f 9569/10765/8574 9577/10774/8581 9584/10775/8582 9576/10766/8575 -f 9570/10767/8576 9578/10776/8583 9577/10777/8581 9569/10768/8574 -f 9571/10769/8577 9579/10778/8584 9578/10776/8583 9570/10767/8576 -f 9572/10770/8578 9580/10779/8585 9579/10778/8584 9571/10769/8577 -f 9573/10771/8579 9581/10780/8586 9580/10779/8585 9572/10770/8578 -f 9574/10772/8561 9582/10781/8587 9581/10780/8586 9573/10771/8579 -f 9575/10773/8580 9583/10782/8588 9582/10781/8587 9574/10772/8561 -f 9576/10766/8575 9584/10775/8582 9583/10782/8588 9575/10773/8580 -f 9585/10783/8589 9593/10784/8589 9600/10785/8590 9592/10786/8591 -f 9586/10787/8592 9594/10788/8592 9593/10789/8589 9585/10790/8589 -f 9587/10791/8593 9595/10792/8593 9594/10788/8592 9586/10787/8592 -f 9588/10793/8594 9596/10794/8595 9595/10792/8593 9587/10791/8593 -f 9589/10795/8596 9597/10796/8596 9596/10794/8595 9588/10793/8594 -f 9590/10797/8597 9598/10798/8597 9597/10796/8596 9589/10795/8596 -f 9591/10799/8598 9599/10800/8599 9598/10798/8597 9590/10797/8597 -f 9592/10786/8591 9600/10785/8590 9599/10800/8599 9591/10799/8598 -f 9593/10784/8589 9601/10801/8600 9608/10802/8601 9600/10785/8590 -f 9594/10788/8592 9602/10803/8602 9601/10804/8600 9593/10789/8589 -f 9595/10792/8593 9603/10805/8603 9602/10803/8602 9594/10788/8592 -f 9596/10794/8595 9604/10806/8604 9603/10805/8603 9595/10792/8593 -f 9597/10796/8596 9605/10807/8605 9604/10806/8604 9596/10794/8595 -f 9598/10798/8597 9606/10808/8606 9605/10807/8605 9597/10796/8596 -f 9599/10800/8599 9607/10809/8607 9606/10808/8606 9598/10798/8597 -f 9600/10785/8590 9608/10802/8601 9607/10809/8607 9599/10800/8599 -f 9601/10801/8600 9609/10810/8608 9616/10811/8609 9608/10802/8601 -f 9602/10803/8602 9610/10812/8610 9609/10813/8608 9601/10804/8600 -f 9603/10805/8603 9611/10814/8611 9610/10812/8610 9602/10803/8602 -f 9604/10806/8604 9612/10815/8612 9611/10814/8611 9603/10805/8603 -f 9605/10807/8605 9613/10816/8613 9612/10815/8612 9604/10806/8604 -f 9606/10808/8606 9614/10817/8614 9613/10816/8613 9605/10807/8605 -f 9607/10809/8607 9615/10818/8615 9614/10817/8614 9606/10808/8606 -f 9608/10802/8601 9616/10811/8609 9615/10818/8615 9607/10809/8607 -f 9609/10810/8608 9617/10819/8616 9624/10820/8617 9616/10811/8609 -f 9610/10812/8610 9618/10821/8618 9617/10822/8616 9609/10813/8608 -f 9611/10814/8611 9619/10823/8619 9618/10821/8618 9610/10812/8610 -f 9612/10815/8612 9620/10824/8620 9619/10823/8619 9611/10814/8611 -f 9613/10816/8613 9621/10825/8621 9620/10824/8620 9612/10815/8612 -f 9614/10817/8614 9622/10826/8622 9621/10825/8621 9613/10816/8613 -f 9615/10818/8615 9623/10827/8623 9622/10826/8622 9614/10817/8614 -f 9616/10811/8609 9624/10820/8617 9623/10827/8623 9615/10818/8615 -f 9617/10819/8616 9625/10828/8624 9632/10829/8625 9624/10820/8617 -f 9618/10821/8618 9626/10830/8626 9625/10831/8624 9617/10822/8616 -f 9619/10823/8619 9627/10832/8627 9626/10830/8626 9618/10821/8618 -f 9620/10824/8620 9628/10833/8628 9627/10832/8627 9619/10823/8619 -f 9621/10825/8621 9629/10834/8629 9628/10833/8628 9620/10824/8620 -f 9622/10826/8622 9630/10835/8630 9629/10834/8629 9621/10825/8621 -f 9623/10827/8623 9631/10836/8631 9630/10835/8630 9622/10826/8622 -f 9624/10820/8617 9632/10829/8625 9631/10836/8631 9623/10827/8623 -f 9625/10828/8624 9633/10837/8632 9640/10838/8633 9632/10829/8625 -f 9626/10830/8626 9634/10839/8634 9633/10840/8632 9625/10831/8624 -f 9627/10832/8627 9635/10841/8635 9634/10839/8634 9626/10830/8626 -f 9628/10833/8628 9636/10842/8636 9635/10841/8635 9627/10832/8627 -f 9629/10834/8629 9637/10843/8637 9636/10842/8636 9628/10833/8628 -f 9630/10835/8630 9638/10844/8638 9637/10843/8637 9629/10834/8629 -f 9631/10836/8631 9639/10845/8639 9638/10844/8638 9630/10835/8630 -f 9632/10829/8625 9640/10838/8633 9639/10845/8639 9631/10836/8631 -f 9633/10837/8632 9641/10846/8640 9648/10847/8641 9640/10838/8633 -f 9634/10839/8634 9642/10848/8642 9641/10849/8640 9633/10840/8632 -f 9635/10841/8635 9643/10850/8643 9642/10848/8642 9634/10839/8634 -f 9636/10842/8636 9644/10851/8644 9643/10850/8643 9635/10841/8635 -f 9637/10843/8637 9645/10852/8645 9644/10851/8644 9636/10842/8636 -f 9638/10844/8638 9646/10853/8646 9645/10852/8645 9637/10843/8637 -f 9639/10845/8639 9647/10854/8647 9646/10853/8646 9638/10844/8638 -f 9640/10838/8633 9648/10847/8641 9647/10854/8647 9639/10845/8639 -f 9641/10846/8640 9649/10855/8648 9656/10856/8625 9648/10847/8641 -f 9642/10848/8642 9650/10857/8649 9649/10858/8648 9641/10849/8640 -f 9643/10850/8643 9651/10859/8650 9650/10857/8649 9642/10848/8642 -f 9644/10851/8644 9652/10860/8651 9651/10859/8650 9643/10850/8643 -f 9645/10852/8645 9653/10861/8652 9652/10860/8651 9644/10851/8644 -f 9646/10853/8646 9654/10862/8653 9653/10861/8652 9645/10852/8645 -f 9647/10854/8647 9655/10863/8654 9654/10862/8653 9646/10853/8646 -f 9648/10847/8641 9656/10856/8625 9655/10863/8654 9647/10854/8647 -f 9649/10855/8648 9657/10864/8655 9664/10865/8656 9656/10856/8625 -f 9650/10857/8649 9658/10866/8634 9657/10867/8655 9649/10858/8648 -f 9651/10859/8650 9659/10868/8657 9658/10866/8634 9650/10857/8649 -f 9652/10860/8651 9660/10869/8658 9659/10868/8657 9651/10859/8650 -f 9653/10861/8652 9661/10870/8637 9660/10869/8658 9652/10860/8651 -f 9654/10862/8653 9662/10871/8659 9661/10870/8637 9653/10861/8652 -f 9655/10863/8654 9663/10872/8660 9662/10871/8659 9654/10862/8653 -f 9656/10856/8625 9664/10865/8656 9663/10872/8660 9655/10863/8654 -f 9665/10873/8661 9673/10874/8662 9680/10875/8663 9672/10876/8663 -f 9666/10877/8664 9674/10878/8665 9673/10879/8662 9665/10880/8661 -f 9667/10881/8666 9675/10882/8667 9674/10878/8665 9666/10877/8664 -f 9668/10883/8668 9676/10884/8668 9675/10882/8667 9667/10881/8666 -f 9669/10885/8669 9677/10886/8670 9676/10884/8668 9668/10883/8668 -f 9670/10887/8671 9678/10888/8671 9677/10886/8670 9669/10885/8669 -f 9671/10889/8672 9679/10890/8672 9678/10888/8671 9670/10887/8671 -f 9672/10876/8663 9680/10875/8663 9679/10890/8672 9671/10889/8672 -f 9673/10874/8662 9681/10891/8673 9688/10892/8674 9680/10875/8663 -f 9674/10878/8665 9682/10893/8675 9681/10894/8673 9673/10879/8662 -f 9675/10882/8667 9683/10895/8676 9682/10893/8675 9674/10878/8665 -f 9676/10884/8668 9684/10896/8677 9683/10895/8676 9675/10882/8667 -f 9677/10886/8670 9685/10897/8678 9684/10896/8677 9676/10884/8668 -f 9678/10888/8671 9686/10898/8679 9685/10897/8678 9677/10886/8670 -f 9679/10890/8672 9687/10899/8680 9686/10898/8679 9678/10888/8671 -f 9680/10875/8663 9688/10892/8674 9687/10899/8680 9679/10890/8672 -f 9681/10891/8673 9689/10900/8681 9696/10901/8682 9688/10892/8674 -f 9682/10893/8675 9690/10902/8683 9689/10903/8681 9681/10894/8673 -f 9683/10895/8676 9691/10904/8684 9690/10902/8683 9682/10893/8675 -f 9684/10896/8677 9692/10905/8685 9691/10904/8684 9683/10895/8676 -f 9685/10897/8678 9693/10906/8686 9692/10905/8685 9684/10896/8677 -f 9686/10898/8679 9694/10907/8687 9693/10906/8686 9685/10897/8678 -f 9687/10899/8680 9695/10908/8688 9694/10907/8687 9686/10898/8679 -f 9688/10892/8674 9696/10901/8682 9695/10908/8688 9687/10899/8680 -f 9689/10900/8681 9697/10909/8689 9704/10910/8690 9696/10901/8682 -f 9690/10902/8683 9698/10911/8691 9697/10912/8689 9689/10903/8681 -f 9691/10904/8684 9699/10913/8692 9698/10911/8691 9690/10902/8683 -f 9692/10905/8685 9700/10914/8693 9699/10913/8692 9691/10904/8684 -f 9693/10906/8686 9701/10915/8694 9700/10914/8693 9692/10905/8685 -f 9694/10907/8687 9702/10916/8695 9701/10915/8694 9693/10906/8686 -f 9695/10908/8688 9703/10917/8696 9702/10916/8695 9694/10907/8687 -f 9696/10901/8682 9704/10910/8690 9703/10917/8696 9695/10908/8688 -f 9697/10909/8689 9705/10918/8697 9712/10919/8698 9704/10910/8690 -f 9698/10911/8691 9706/10920/8699 9705/10921/8697 9697/10912/8689 -f 9699/10913/8692 9707/10922/8700 9706/10920/8699 9698/10911/8691 -f 9700/10914/8693 9708/10923/8701 9707/10922/8700 9699/10913/8692 -f 9701/10915/8694 9709/10924/8702 9708/10923/8701 9700/10914/8693 -f 9702/10916/8695 9710/10925/8703 9709/10924/8702 9701/10915/8694 -f 9703/10917/8696 9711/10926/8704 9710/10925/8703 9702/10916/8695 -f 9704/10910/8690 9712/10919/8698 9711/10926/8704 9703/10917/8696 -f 9705/10918/8697 9713/10927/8705 9720/10928/8706 9712/10919/8698 -f 9706/10920/8699 9714/10929/8707 9713/10930/8705 9705/10921/8697 -f 9707/10922/8700 9715/10931/8708 9714/10929/8707 9706/10920/8699 -f 9708/10923/8701 9716/10932/8709 9715/10931/8708 9707/10922/8700 -f 9709/10924/8702 9717/10933/8710 9716/10932/8709 9708/10923/8701 -f 9710/10925/8703 9718/10934/8711 9717/10933/8710 9709/10924/8702 -f 9711/10926/8704 9719/10935/8712 9718/10934/8711 9710/10925/8703 -f 9712/10919/8698 9720/10928/8706 9719/10935/8712 9711/10926/8704 -f 9713/10927/8705 9721/10936/8713 9728/10937/8714 9720/10928/8706 -f 9714/10929/8707 9722/10938/8715 9721/10939/8713 9713/10930/8705 -f 9715/10931/8708 9723/10940/8716 9722/10938/8715 9714/10929/8707 -f 9716/10932/8709 9724/10941/8717 9723/10940/8716 9715/10931/8708 -f 9717/10933/8710 9725/10942/8718 9724/10941/8717 9716/10932/8709 -f 9718/10934/8711 9726/10943/8719 9725/10942/8718 9717/10933/8710 -f 9719/10935/8712 9727/10944/8720 9726/10943/8719 9718/10934/8711 -f 9720/10928/8706 9728/10937/8714 9727/10944/8720 9719/10935/8712 -f 9721/10936/8713 9729/10945/8721 9736/10946/8722 9728/10937/8714 -f 9722/10938/8715 9730/10947/8723 9729/10948/8721 9721/10939/8713 -f 9723/10940/8716 9731/10949/8724 9730/10947/8723 9722/10938/8715 -f 9724/10941/8717 9732/10950/8725 9731/10949/8724 9723/10940/8716 -f 9725/10942/8718 9733/10951/8726 9732/10950/8725 9724/10941/8717 -f 9726/10943/8719 9734/10952/8727 9733/10951/8726 9725/10942/8718 -f 9727/10944/8720 9735/10953/8728 9734/10952/8727 9726/10943/8719 -f 9728/10937/8714 9736/10946/8722 9735/10953/8728 9727/10944/8720 -f 9729/10945/8721 9737/10954/8729 9744/10955/8730 9736/10946/8722 -f 9730/10947/8723 9738/10956/8731 9737/10957/8729 9729/10948/8721 -f 9731/10949/8724 9739/10958/8732 9738/10956/8731 9730/10947/8723 -f 9732/10950/8725 9740/10959/8733 9739/10958/8732 9731/10949/8724 -f 9733/10951/8726 9741/10960/8734 9740/10959/8733 9732/10950/8725 -f 9734/10952/8727 9742/10961/8735 9741/10960/8734 9733/10951/8726 -f 9735/10953/8728 9743/10962/8736 9742/10961/8735 9734/10952/8727 -f 9736/10946/8722 9744/10955/8730 9743/10962/8736 9735/10953/8728 -f 9745/10963/8737 9753/10964/8737 9760/10965/8738 9752/10966/8738 -f 9746/10967/8739 9754/10968/8739 9753/10969/8737 9745/10970/8737 -f 9747/10971/8740 9755/10972/8741 9754/10968/8739 9746/10967/8739 -f 9748/10973/8742 9756/10974/8743 9755/10972/8741 9747/10971/8740 -f 9749/10975/8744 9757/10976/8745 9756/10974/8743 9748/10973/8742 -f 9750/10977/8746 9758/10978/8746 9757/10976/8745 9749/10975/8744 -f 9751/10979/8747 9759/10980/8747 9758/10978/8746 9750/10977/8746 -f 9752/10966/8738 9760/10965/8738 9759/10980/8747 9751/10979/8747 -f 9753/10964/8737 9761/10981/8748 9768/10982/8749 9760/10965/8738 -f 9754/10968/8739 9762/10983/8750 9761/10984/8748 9753/10969/8737 -f 9755/10972/8741 9763/10985/8751 9762/10983/8750 9754/10968/8739 -f 9756/10974/8743 9764/10986/8752 9763/10985/8751 9755/10972/8741 -f 9757/10976/8745 9765/10987/8753 9764/10986/8752 9756/10974/8743 -f 9758/10978/8746 9766/10988/8754 9765/10987/8753 9757/10976/8745 -f 9759/10980/8747 9767/10989/8755 9766/10988/8754 9758/10978/8746 -f 9760/10965/8738 9768/10982/8749 9767/10989/8755 9759/10980/8747 -f 9761/10981/8748 9769/10990/8756 9776/10991/8757 9768/10982/8749 -f 9762/10983/8750 9770/10992/8758 9769/10993/8756 9761/10984/8748 -f 9763/10985/8751 9771/10994/8759 9770/10992/8758 9762/10983/8750 -f 9764/10986/8752 9772/10995/8760 9771/10994/8759 9763/10985/8751 -f 9765/10987/8753 9773/10996/8761 9772/10995/8760 9764/10986/8752 -f 9766/10988/8754 9774/10997/8762 9773/10996/8761 9765/10987/8753 -f 9767/10989/8755 9775/10998/8763 9774/10997/8762 9766/10988/8754 -f 9768/10982/8749 9776/10991/8757 9775/10998/8763 9767/10989/8755 -f 9769/10990/8756 9777/10999/8764 9784/11000/8765 9776/10991/8757 -f 9770/10992/8758 9778/11001/8766 9777/11002/8764 9769/10993/8756 -f 9771/10994/8759 9779/11003/8767 9778/11001/8766 9770/10992/8758 -f 9772/10995/8760 9780/11004/8768 9779/11003/8767 9771/10994/8759 -f 9773/10996/8761 9781/11005/8769 9780/11004/8768 9772/10995/8760 -f 9774/10997/8762 9782/11006/8770 9781/11005/8769 9773/10996/8761 -f 9775/10998/8763 9783/11007/8771 9782/11006/8770 9774/10997/8762 -f 9776/10991/8757 9784/11000/8765 9783/11007/8771 9775/10998/8763 -f 9777/10999/8764 9785/11008/8772 9792/11009/8773 9784/11000/8765 -f 9778/11001/8766 9786/11010/8774 9785/11011/8772 9777/11002/8764 -f 9779/11003/8767 9787/11012/8775 9786/11010/8774 9778/11001/8766 -f 9780/11004/8768 9788/11013/8776 9787/11012/8775 9779/11003/8767 -f 9781/11005/8769 9789/11014/8777 9788/11013/8776 9780/11004/8768 -f 9782/11006/8770 9790/11015/8778 9789/11014/8777 9781/11005/8769 -f 9783/11007/8771 9791/11016/8779 9790/11015/8778 9782/11006/8770 -f 9784/11000/8765 9792/11009/8773 9791/11016/8779 9783/11007/8771 -f 9785/11008/8772 9793/11017/8780 9800/11018/8781 9792/11009/8773 -f 9786/11010/8774 9794/11019/8782 9793/11020/8780 9785/11011/8772 -f 9787/11012/8775 9795/11021/8783 9794/11019/8782 9786/11010/8774 -f 9788/11013/8776 9796/11022/8784 9795/11021/8783 9787/11012/8775 -f 9789/11014/8777 9797/11023/8785 9796/11022/8784 9788/11013/8776 -f 9790/11015/8778 9798/11024/8786 9797/11023/8785 9789/11014/8777 -f 9791/11016/8779 9799/11025/8787 9798/11024/8786 9790/11015/8778 -f 9792/11009/8773 9800/11018/8781 9799/11025/8787 9791/11016/8779 -f 9793/11017/8780 9801/11026/8788 9808/11027/8789 9800/11018/8781 -f 9794/11019/8782 9802/11028/8766 9801/11029/8788 9793/11020/8780 -f 9795/11021/8783 9803/11030/8790 9802/11028/8766 9794/11019/8782 -f 9796/11022/8784 9804/11031/8791 9803/11030/8790 9795/11021/8783 -f 9797/11023/8785 9805/11032/8792 9804/11031/8791 9796/11022/8784 -f 9798/11024/8786 9806/11033/8770 9805/11032/8792 9797/11023/8785 -f 9799/11025/8787 9807/11034/8793 9806/11033/8770 9798/11024/8786 -f 9800/11018/8781 9808/11027/8789 9807/11034/8793 9799/11025/8787 -f 9801/11026/8788 9809/11035/8794 9816/11036/8795 9808/11027/8789 -f 9802/11028/8766 9810/11037/8774 9809/11038/8794 9801/11029/8788 -f 9803/11030/8790 9811/11039/8796 9810/11037/8774 9802/11028/8766 -f 9804/11031/8791 9812/11040/8776 9811/11039/8796 9803/11030/8790 -f 9805/11032/8792 9813/11041/8797 9812/11040/8776 9804/11031/8791 -f 9806/11033/8770 9814/11042/8798 9813/11041/8797 9805/11032/8792 -f 9807/11034/8793 9815/11043/8799 9814/11042/8798 9806/11033/8770 -f 9808/11027/8789 9816/11036/8795 9815/11043/8799 9807/11034/8793 -f 9809/11035/8794 9817/11044/8800 9824/11045/8801 9816/11036/8795 -f 9810/11037/8774 9818/11046/8802 9817/11047/8800 9809/11038/8794 -f 9811/11039/8796 9819/11048/8803 9818/11046/8802 9810/11037/8774 -f 9812/11040/8776 9820/11049/8784 9819/11048/8803 9811/11039/8796 -f 9813/11041/8797 9821/11050/8804 9820/11049/8784 9812/11040/8776 -f 9814/11042/8798 9822/11051/8805 9821/11050/8804 9813/11041/8797 -f 9815/11043/8799 9823/11052/8806 9822/11051/8805 9814/11042/8798 -f 9816/11036/8795 9824/11045/8801 9823/11052/8806 9815/11043/8799 -f 9825/11053/8807 9833/11054/8808 9840/11055/8809 9832/11056/8809 -f 9826/11057/8810 9834/11058/8810 9833/11059/8808 9825/11060/8807 -f 9827/11061/8811 9835/11062/8811 9834/11058/8810 9826/11057/8810 -f 9828/11063/8812 9836/11064/8812 9835/11062/8811 9827/11061/8811 -f 9829/11065/8813 9837/11066/8813 9836/11064/8812 9828/11063/8812 -f 9830/11067/8814 9838/11068/8815 9837/11066/8813 9829/11065/8813 -f 9831/11069/8816 9839/11070/8817 9838/11068/8815 9830/11067/8814 -f 9832/11056/8809 9840/11055/8809 9839/11070/8817 9831/11069/8816 -f 9833/11054/8808 9841/11071/8818 9848/11072/8819 9840/11055/8809 -f 9834/11058/8810 9842/11073/8820 9841/11074/8818 9833/11059/8808 -f 9835/11062/8811 9843/11075/8821 9842/11073/8820 9834/11058/8810 -f 9836/11064/8812 9844/11076/8822 9843/11075/8821 9835/11062/8811 -f 9837/11066/8813 9845/11077/8823 9844/11076/8822 9836/11064/8812 -f 9838/11068/8815 9846/11078/8824 9845/11077/8823 9837/11066/8813 -f 9839/11070/8817 9847/11079/8825 9846/11078/8824 9838/11068/8815 -f 9840/11055/8809 9848/11072/8819 9847/11079/8825 9839/11070/8817 -f 9841/11071/8818 9849/11080/8826 9856/11081/8827 9848/11072/8819 -f 9842/11073/8820 9850/11082/8828 9849/11083/8826 9841/11074/8818 -f 9843/11075/8821 9851/11084/8829 9850/11082/8828 9842/11073/8820 -f 9844/11076/8822 9852/11085/8830 9851/11084/8829 9843/11075/8821 -f 9845/11077/8823 9853/11086/8831 9852/11085/8830 9844/11076/8822 -f 9846/11078/8824 9854/11087/8832 9853/11086/8831 9845/11077/8823 -f 9847/11079/8825 9855/11088/8833 9854/11087/8832 9846/11078/8824 -f 9848/11072/8819 9856/11081/8827 9855/11088/8833 9847/11079/8825 -f 9849/11080/8826 9857/11089/8834 9864/11090/8835 9856/11081/8827 -f 9850/11082/8828 9858/11091/8836 9857/11092/8834 9849/11083/8826 -f 9851/11084/8829 9859/11093/8837 9858/11091/8836 9850/11082/8828 -f 9852/11085/8830 9860/11094/8838 9859/11093/8837 9851/11084/8829 -f 9853/11086/8831 9861/11095/8839 9860/11094/8838 9852/11085/8830 -f 9854/11087/8832 9862/11096/8840 9861/11095/8839 9853/11086/8831 -f 9855/11088/8833 9863/11097/8841 9862/11096/8840 9854/11087/8832 -f 9856/11081/8827 9864/11090/8835 9863/11097/8841 9855/11088/8833 -f 9857/11089/8834 9865/11098/8842 9872/11099/8843 9864/11090/8835 -f 9858/11091/8836 9866/11100/8844 9865/11101/8842 9857/11092/8834 -f 9859/11093/8837 9867/11102/8845 9866/11100/8844 9858/11091/8836 -f 9860/11094/8838 9868/11103/8846 9867/11102/8845 9859/11093/8837 -f 9861/11095/8839 9869/11104/8847 9868/11103/8846 9860/11094/8838 -f 9862/11096/8840 9870/11105/8848 9869/11104/8847 9861/11095/8839 -f 9863/11097/8841 9871/11106/8849 9870/11105/8848 9862/11096/8840 -f 9864/11090/8835 9872/11099/8843 9871/11106/8849 9863/11097/8841 -f 9865/11098/8842 9873/11107/8850 9880/11108/8851 9872/11099/8843 -f 9866/11100/8844 9874/11109/8852 9873/11110/8850 9865/11101/8842 -f 9867/11102/8845 9875/11111/8853 9874/11109/8852 9866/11100/8844 -f 9868/11103/8846 9876/11112/8854 9875/11111/8853 9867/11102/8845 -f 9869/11104/8847 9877/11113/8855 9876/11112/8854 9868/11103/8846 -f 9870/11105/8848 9878/11114/8856 9877/11113/8855 9869/11104/8847 -f 9871/11106/8849 9879/11115/8857 9878/11114/8856 9870/11105/8848 -f 9872/11099/8843 9880/11108/8851 9879/11115/8857 9871/11106/8849 -f 9873/11107/8850 9881/11116/8834 9888/11117/8835 9880/11108/8851 -f 9874/11109/8852 9882/11118/8858 9881/11119/8834 9873/11110/8850 -f 9875/11111/8853 9883/11120/8837 9882/11118/8858 9874/11109/8852 -f 9876/11112/8854 9884/11121/8838 9883/11120/8837 9875/11111/8853 -f 9877/11113/8855 9885/11122/8859 9884/11121/8838 9876/11112/8854 -f 9878/11114/8856 9886/11123/8840 9885/11122/8859 9877/11113/8855 -f 9879/11115/8857 9887/11124/8860 9886/11123/8840 9878/11114/8856 -f 9880/11108/8851 9888/11117/8835 9887/11124/8860 9879/11115/8857 -f 9881/11116/8834 9889/11125/8861 9896/11126/8843 9888/11117/8835 -f 9882/11118/8858 9890/11127/8862 9889/11128/8861 9881/11119/8834 -f 9883/11120/8837 9891/11129/8863 9890/11127/8862 9882/11118/8858 -f 9884/11121/8838 9892/11130/8864 9891/11129/8863 9883/11120/8837 -f 9885/11122/8859 9893/11131/8865 9892/11130/8864 9884/11121/8838 -f 9886/11123/8840 9894/11132/8848 9893/11131/8865 9885/11122/8859 -f 9887/11124/8860 9895/11133/8866 9894/11132/8848 9886/11123/8840 -f 9888/11117/8835 9896/11126/8843 9895/11133/8866 9887/11124/8860 -f 9889/11125/8861 9897/11134/8867 9904/11135/8868 9896/11126/8843 -f 9890/11127/8862 9898/11136/8869 9897/11137/8867 9889/11128/8861 -f 9891/11129/8863 9899/11138/8870 9898/11136/8869 9890/11127/8862 -f 9892/11130/8864 9900/11139/8871 9899/11138/8870 9891/11129/8863 -f 9893/11131/8865 9901/11140/8855 9900/11139/8871 9892/11130/8864 -f 9894/11132/8848 9902/11141/8856 9901/11140/8855 9893/11131/8865 -f 9895/11133/8866 9903/11142/8872 9902/11141/8856 9894/11132/8848 -f 9896/11126/8843 9904/11135/8868 9903/11142/8872 9895/11133/8866 -f 9905/11143/8873 9913/11144/8874 9920/11145/8875 9912/11146/8875 -f 9906/11147/8876 9914/11148/8876 9913/11149/8874 9905/11150/8873 -f 9907/11151/8877 9915/11152/8877 9914/11148/8876 9906/11147/8876 -f 9908/11153/8878 9916/11154/8879 9915/11152/8877 9907/11151/8877 -f 9909/11155/8880 9917/11156/8880 9916/11154/8879 9908/11153/8878 -f 9910/11157/8881 9918/11158/8882 9917/11156/8880 9909/11155/8880 -f 9911/11159/8883 9919/11160/8884 9918/11158/8882 9910/11157/8881 -f 9912/11146/8875 9920/11145/8875 9919/11160/8884 9911/11159/8883 -f 9913/11144/8874 9921/11161/8885 9928/11162/8886 9920/11145/8875 -f 9914/11148/8876 9922/11163/8887 9921/11164/8885 9913/11149/8874 -f 9915/11152/8877 9923/11165/8888 9922/11163/8887 9914/11148/8876 -f 9916/11154/8879 9924/11166/8889 9923/11165/8888 9915/11152/8877 -f 9917/11156/8880 9925/11167/8890 9924/11166/8889 9916/11154/8879 -f 9918/11158/8882 9926/11168/8891 9925/11167/8890 9917/11156/8880 -f 9919/11160/8884 9927/11169/8892 9926/11168/8891 9918/11158/8882 -f 9920/11145/8875 9928/11162/8886 9927/11169/8892 9919/11160/8884 -f 9921/11161/8885 9929/11170/8893 9936/11171/8894 9928/11162/8886 -f 9922/11163/8887 9930/11172/8895 9929/11173/8893 9921/11164/8885 -f 9923/11165/8888 9931/11174/8896 9930/11172/8895 9922/11163/8887 -f 9924/11166/8889 9932/11175/8897 9931/11174/8896 9923/11165/8888 -f 9925/11167/8890 9933/11176/8898 9932/11175/8897 9924/11166/8889 -f 9926/11168/8891 9934/11177/8899 9933/11176/8898 9925/11167/8890 -f 9927/11169/8892 9935/11178/8900 9934/11177/8899 9926/11168/8891 -f 9928/11162/8886 9936/11171/8894 9935/11178/8900 9927/11169/8892 -f 9929/11170/8893 9937/11179/8901 9944/11180/8902 9936/11171/8894 -f 9930/11172/8895 9938/11181/8903 9937/11182/8901 9929/11173/8893 -f 9931/11174/8896 9939/11183/8904 9938/11181/8903 9930/11172/8895 -f 9932/11175/8897 9940/11184/8905 9939/11183/8904 9931/11174/8896 -f 9933/11176/8898 9941/11185/8906 9940/11184/8905 9932/11175/8897 -f 9934/11177/8899 9942/11186/8907 9941/11185/8906 9933/11176/8898 -f 9935/11178/8900 9943/11187/8908 9942/11186/8907 9934/11177/8899 -f 9936/11171/8894 9944/11180/8902 9943/11187/8908 9935/11178/8900 -f 9937/11179/8901 9945/11188/8909 9952/11189/8902 9944/11180/8902 -f 9938/11181/8903 9946/11190/8910 9945/11191/8909 9937/11182/8901 -f 9939/11183/8904 9947/11192/8904 9946/11190/8910 9938/11181/8903 -f 9940/11184/8905 9948/11193/8905 9947/11192/8904 9939/11183/8904 -f 9941/11185/8906 9949/11194/8911 9948/11193/8905 9940/11184/8905 -f 9942/11186/8907 9950/11195/8907 9949/11194/8911 9941/11185/8906 -f 9943/11187/8908 9951/11196/8908 9950/11195/8907 9942/11186/8907 -f 9944/11180/8902 9952/11189/8902 9951/11196/8908 9943/11187/8908 -f 9945/11188/8909 9953/11197/8912 9960/11198/8913 9952/11189/8902 -f 9946/11190/8910 9954/11199/8914 9953/11200/8912 9945/11191/8909 -f 9947/11192/8904 9955/11201/8915 9954/11199/8914 9946/11190/8910 -f 9948/11193/8905 9956/11202/8916 9955/11201/8915 9947/11192/8904 -f 9949/11194/8911 9957/11203/8917 9956/11202/8916 9948/11193/8905 -f 9950/11195/8907 9958/11204/8918 9957/11203/8917 9949/11194/8911 -f 9951/11196/8908 9959/11205/8919 9958/11204/8918 9950/11195/8907 -f 9952/11189/8902 9960/11198/8913 9959/11205/8919 9951/11196/8908 -f 9953/11197/8912 9961/11206/8901 9968/11207/8902 9960/11198/8913 -f 9954/11199/8914 9962/11208/8903 9961/11209/8901 9953/11200/8912 -f 9955/11201/8915 9963/11210/8920 9962/11208/8903 9954/11199/8914 -f 9956/11202/8916 9964/11211/8921 9963/11210/8920 9955/11201/8915 -f 9957/11203/8917 9965/11212/8922 9964/11211/8921 9956/11202/8916 -f 9958/11204/8918 9966/11213/8907 9965/11212/8922 9957/11203/8917 -f 9959/11205/8919 9967/11214/8923 9966/11213/8907 9958/11204/8918 -f 9960/11198/8913 9968/11207/8902 9967/11214/8923 9959/11205/8919 -f 9961/11206/8901 9969/11215/8924 9976/11216/8902 9968/11207/8902 -f 9962/11208/8903 9970/11217/8925 9969/11218/8924 9961/11209/8901 -f 9963/11210/8920 9971/11219/8926 9970/11217/8925 9962/11208/8903 -f 9964/11211/8921 9972/11220/8927 9971/11219/8926 9963/11210/8920 -f 9965/11212/8922 9973/11221/8928 9972/11220/8927 9964/11211/8921 -f 9966/11213/8907 9974/11222/8929 9973/11221/8928 9965/11212/8922 -f 9967/11214/8923 9975/11223/8923 9974/11222/8929 9966/11213/8907 -f 9968/11207/8902 9976/11216/8902 9975/11223/8923 9967/11214/8923 -f 9969/11215/8924 9977/11224/8930 9984/11225/8931 9976/11216/8902 -f 9970/11217/8925 9978/11226/8932 9977/11227/8930 9969/11218/8924 -f 9971/11219/8926 9979/11228/8933 9978/11226/8932 9970/11217/8925 -f 9972/11220/8927 9980/11229/8934 9979/11228/8933 9971/11219/8926 -f 9973/11221/8928 9981/11230/8917 9980/11229/8934 9972/11220/8927 -f 9974/11222/8929 9982/11231/8935 9981/11230/8917 9973/11221/8928 -f 9975/11223/8923 9983/11232/8936 9982/11231/8935 9974/11222/8929 -f 9976/11216/8902 9984/11225/8931 9983/11232/8936 9975/11223/8923 -f 9985/11233/8937 9993/11234/8938 10000/11235/8939 9992/11236/8939 -f 9986/11237/8940 9994/11238/8940 9993/11239/8938 9985/11240/8937 -f 9987/11241/8941 9995/11242/8942 9994/11238/8940 9986/11237/8940 -f 9988/11243/8943 9996/11244/8943 9995/11242/8942 9987/11241/8941 -f 9989/11245/8944 9997/11246/8945 9996/11244/8943 9988/11243/8943 -f 9990/11247/8946 9998/11248/8946 9997/11246/8945 9989/11245/8944 -f 9991/11249/8947 9999/11250/8947 9998/11248/8946 9990/11247/8946 -f 9992/11236/8939 10000/11235/8939 9999/11250/8947 9991/11249/8947 -f 9993/11234/8938 10001/11251/8948 10008/11252/8949 10000/11235/8939 -f 9994/11238/8940 10002/11253/8950 10001/11254/8948 9993/11239/8938 -f 9995/11242/8942 10003/11255/8951 10002/11253/8950 9994/11238/8940 -f 9996/11244/8943 10004/11256/8952 10003/11255/8951 9995/11242/8942 -f 9997/11246/8945 10005/11257/8953 10004/11256/8952 9996/11244/8943 -f 9998/11248/8946 10006/11258/8954 10005/11257/8953 9997/11246/8945 -f 9999/11250/8947 10007/11259/8955 10006/11258/8954 9998/11248/8946 -f 10000/11235/8939 10008/11252/8949 10007/11259/8955 9999/11250/8947 -f 10001/11251/8948 10009/11260/8956 10016/11261/8957 10008/11252/8949 -f 10002/11253/8950 10010/11262/8958 10009/11263/8956 10001/11254/8948 -f 10003/11255/8951 10011/11264/8959 10010/11262/8958 10002/11253/8950 -f 10004/11256/8952 10012/11265/8960 10011/11264/8959 10003/11255/8951 -f 10005/11257/8953 10013/11266/8961 10012/11265/8960 10004/11256/8952 -f 10006/11258/8954 10014/11267/8962 10013/11266/8961 10005/11257/8953 -f 10007/11259/8955 10015/11268/8963 10014/11267/8962 10006/11258/8954 -f 10008/11252/8949 10016/11261/8957 10015/11268/8963 10007/11259/8955 -f 10009/11260/8956 10017/11269/8964 10024/11270/8965 10016/11261/8957 -f 10010/11262/8958 10018/11271/8966 10017/11272/8964 10009/11263/8956 -f 10011/11264/8959 10019/11273/8967 10018/11271/8966 10010/11262/8958 -f 10012/11265/8960 10020/11274/8968 10019/11273/8967 10011/11264/8959 -f 10013/11266/8961 10021/11275/8969 10020/11274/8968 10012/11265/8960 -f 10014/11267/8962 10022/11276/8970 10021/11275/8969 10013/11266/8961 -f 10015/11268/8963 10023/11277/8971 10022/11276/8970 10014/11267/8962 -f 10016/11261/8957 10024/11270/8965 10023/11277/8971 10015/11268/8963 -f 10017/11269/8964 10025/11278/8972 10032/11279/8973 10024/11270/8965 -f 10018/11271/8966 10026/11280/8974 10025/11281/8972 10017/11272/8964 -f 10019/11273/8967 10027/11282/8975 10026/11280/8974 10018/11271/8966 -f 10020/11274/8968 10028/11283/8976 10027/11282/8975 10019/11273/8967 -f 10021/11275/8969 10029/11284/8977 10028/11283/8976 10020/11274/8968 -f 10022/11276/8970 10030/11285/8978 10029/11284/8977 10021/11275/8969 -f 10023/11277/8971 10031/11286/8979 10030/11285/8978 10022/11276/8970 -f 10024/11270/8965 10032/11279/8973 10031/11286/8979 10023/11277/8971 -f 10025/11278/8972 10033/11287/8980 10040/11288/8981 10032/11279/8973 -f 10026/11280/8974 10034/11289/8982 10033/11290/8980 10025/11281/8972 -f 10027/11282/8975 10035/11291/8983 10034/11289/8982 10026/11280/8974 -f 10028/11283/8976 10036/11292/8984 10035/11291/8983 10027/11282/8975 -f 10029/11284/8977 10037/11293/8985 10036/11292/8984 10028/11283/8976 -f 10030/11285/8978 10038/11294/8986 10037/11293/8985 10029/11284/8977 -f 10031/11286/8979 10039/11295/8987 10038/11294/8986 10030/11285/8978 -f 10032/11279/8973 10040/11288/8981 10039/11295/8987 10031/11286/8979 -f 10033/11287/8980 10041/11296/8988 10048/11297/8965 10040/11288/8981 -f 10034/11289/8982 10042/11298/8966 10041/11299/8988 10033/11290/8980 -f 10035/11291/8983 10043/11300/8989 10042/11298/8966 10034/11289/8982 -f 10036/11292/8984 10044/11301/8968 10043/11300/8989 10035/11291/8983 -f 10037/11293/8985 10045/11302/8969 10044/11301/8968 10036/11292/8984 -f 10038/11294/8986 10046/11303/8970 10045/11302/8969 10037/11293/8985 -f 10039/11295/8987 10047/11304/8971 10046/11303/8970 10038/11294/8986 -f 10040/11288/8981 10048/11297/8965 10047/11304/8971 10039/11295/8987 -f 10041/11296/8988 10049/11305/8990 10056/11306/8973 10048/11297/8965 -f 10042/11298/8966 10050/11307/8991 10049/11308/8990 10041/11299/8988 -f 10043/11300/8989 10051/11309/8992 10050/11307/8991 10042/11298/8966 -f 10044/11301/8968 10052/11310/8993 10051/11309/8992 10043/11300/8989 -f 10045/11302/8969 10053/11311/8977 10052/11310/8993 10044/11301/8968 -f 10046/11303/8970 10054/11312/8994 10053/11311/8977 10045/11302/8969 -f 10047/11304/8971 10055/11313/8979 10054/11312/8994 10046/11303/8970 -f 10048/11297/8965 10056/11306/8973 10055/11313/8979 10047/11304/8971 -f 10049/11305/8990 10057/11314/8995 10064/11315/8981 10056/11306/8973 -f 10050/11307/8991 10058/11316/8996 10057/11317/8995 10049/11308/8990 -f 10051/11309/8992 10059/11318/8997 10058/11316/8996 10050/11307/8991 -f 10052/11310/8993 10060/11319/8998 10059/11318/8997 10051/11309/8992 -f 10053/11311/8977 10061/11320/8999 10060/11319/8998 10052/11310/8993 -f 10054/11312/8994 10062/11321/8986 10061/11320/8999 10053/11311/8977 -f 10055/11313/8979 10063/11322/9000 10062/11321/8986 10054/11312/8994 -f 10056/11306/8973 10064/11315/8981 10063/11322/9000 10055/11313/8979 -f 10065/11323/9001 10073/11324/9001 10080/11325/9002 10072/11326/9002 -f 10066/11327/9003 10074/11328/9003 10073/11329/9001 10065/11330/9001 -f 10067/11331/9004 10075/11332/9004 10074/11328/9003 10066/11327/9003 -f 10068/11333/9005 10076/11334/9005 10075/11332/9004 10067/11331/9004 -f 10069/11335/9006 10077/11336/9007 10076/11334/9005 10068/11333/9005 -f 10070/11337/9008 10078/11338/9009 10077/11336/9007 10069/11335/9006 -f 10071/11339/9010 10079/11340/9010 10078/11338/9009 10070/11337/9008 -f 10072/11326/9002 10080/11325/9002 10079/11340/9010 10071/11339/9010 -f 10073/11324/9001 10081/11341/9011 10088/11342/9012 10080/11325/9002 -f 10074/11328/9003 10082/11343/9013 10081/11344/9011 10073/11329/9001 -f 10075/11332/9004 10083/11345/9014 10082/11343/9013 10074/11328/9003 -f 10076/11334/9005 10084/11346/9015 10083/11345/9014 10075/11332/9004 -f 10077/11336/9007 10085/11347/9016 10084/11346/9015 10076/11334/9005 -f 10078/11338/9009 10086/11348/9017 10085/11347/9016 10077/11336/9007 -f 10079/11340/9010 10087/11349/9018 10086/11348/9017 10078/11338/9009 -f 10080/11325/9002 10088/11342/9012 10087/11349/9018 10079/11340/9010 -f 10081/11341/9011 10089/11350/9019 10096/11351/9020 10088/11342/9012 -f 10082/11343/9013 10090/11352/9021 10089/11353/9019 10081/11344/9011 -f 10083/11345/9014 10091/11354/9022 10090/11352/9021 10082/11343/9013 -f 10084/11346/9015 10092/11355/9023 10091/11354/9022 10083/11345/9014 -f 10085/11347/9016 10093/11356/9024 10092/11355/9023 10084/11346/9015 -f 10086/11348/9017 10094/11357/9025 10093/11356/9024 10085/11347/9016 -f 10087/11349/9018 10095/11358/9026 10094/11357/9025 10086/11348/9017 -f 10088/11342/9012 10096/11351/9020 10095/11358/9026 10087/11349/9018 -f 10089/11350/9019 10097/11359/9027 10104/11360/9028 10096/11351/9020 -f 10090/11352/9021 10098/11361/9029 10097/11362/9027 10089/11353/9019 -f 10091/11354/9022 10099/11363/9030 10098/11361/9029 10090/11352/9021 -f 10092/11355/9023 10100/11364/9031 10099/11363/9030 10091/11354/9022 -f 10093/11356/9024 10101/11365/9032 10100/11364/9031 10092/11355/9023 -f 10094/11357/9025 10102/11366/9033 10101/11365/9032 10093/11356/9024 -f 10095/11358/9026 10103/11367/9034 10102/11366/9033 10094/11357/9025 -f 10096/11351/9020 10104/11360/9028 10103/11367/9034 10095/11358/9026 -f 10097/11359/9027 10105/11368/9035 10112/11369/9036 10104/11360/9028 -f 10098/11361/9029 10106/11370/9037 10105/11371/9035 10097/11362/9027 -f 10099/11363/9030 10107/11372/9038 10106/11370/9037 10098/11361/9029 -f 10100/11364/9031 10108/11373/9039 10107/11372/9038 10099/11363/9030 -f 10101/11365/9032 10109/11374/9040 10108/11373/9039 10100/11364/9031 -f 10102/11366/9033 10110/11375/9041 10109/11374/9040 10101/11365/9032 -f 10103/11367/9034 10111/11376/9042 10110/11375/9041 10102/11366/9033 -f 10104/11360/9028 10112/11369/9036 10111/11376/9042 10103/11367/9034 -f 10105/11368/9035 10113/11377/9043 10120/11378/9044 10112/11369/9036 -f 10106/11370/9037 10114/11379/9045 10113/11380/9043 10105/11371/9035 -f 10107/11372/9038 10115/11381/9046 10114/11379/9045 10106/11370/9037 -f 10108/11373/9039 10116/11382/9047 10115/11381/9046 10107/11372/9038 -f 10109/11374/9040 10117/11383/9048 10116/11382/9047 10108/11373/9039 -f 10110/11375/9041 10118/11384/9049 10117/11383/9048 10109/11374/9040 -f 10111/11376/9042 10119/11385/9050 10118/11384/9049 10110/11375/9041 -f 10112/11369/9036 10120/11378/9044 10119/11385/9050 10111/11376/9042 -f 10113/11377/9043 10121/11386/9027 10128/11387/9051 10120/11378/9044 -f 10114/11379/9045 10122/11388/9052 10121/11389/9027 10113/11380/9043 -f 10115/11381/9046 10123/11390/9030 10122/11388/9052 10114/11379/9045 -f 10116/11382/9047 10124/11391/9031 10123/11390/9030 10115/11381/9046 -f 10117/11383/9048 10125/11392/9053 10124/11391/9031 10116/11382/9047 -f 10118/11384/9049 10126/11393/9033 10125/11392/9053 10117/11383/9048 -f 10119/11385/9050 10127/11394/9034 10126/11393/9033 10118/11384/9049 -f 10120/11378/9044 10128/11387/9051 10127/11394/9034 10119/11385/9050 -f 10121/11386/9027 10129/11395/9054 10136/11396/9055 10128/11387/9051 -f 10122/11388/9052 10130/11397/9056 10129/11398/9054 10121/11389/9027 -f 10123/11390/9030 10131/11399/9038 10130/11397/9056 10122/11388/9052 -f 10124/11391/9031 10132/11400/9039 10131/11399/9038 10123/11390/9030 -f 10125/11392/9053 10133/11401/9040 10132/11400/9039 10124/11391/9031 -f 10126/11393/9033 10134/11402/9041 10133/11401/9040 10125/11392/9053 -f 10127/11394/9034 10135/11403/9042 10134/11402/9041 10126/11393/9033 -f 10128/11387/9051 10136/11396/9055 10135/11403/9042 10127/11394/9034 -f 10129/11395/9054 10137/11404/9057 10144/11405/9058 10136/11396/9055 -f 10130/11397/9056 10138/11406/9059 10137/11407/9057 10129/11398/9054 -f 10131/11399/9038 10139/11408/9060 10138/11406/9059 10130/11397/9056 -f 10132/11400/9039 10140/11409/9061 10139/11408/9060 10131/11399/9038 -f 10133/11401/9040 10141/11410/9062 10140/11409/9061 10132/11400/9039 -f 10134/11402/9041 10142/11411/9049 10141/11410/9062 10133/11401/9040 -f 10135/11403/9042 10143/11412/9063 10142/11411/9049 10134/11402/9041 -f 10136/11396/9055 10144/11405/9058 10143/11412/9063 10135/11403/9042 -f 10145/11413/9064 10153/11414/9065 10160/11415/9066 10152/11416/9066 -f 10146/11417/9067 10154/11418/9067 10153/11419/9065 10145/11420/9064 -f 10147/11421/9068 10155/11422/9068 10154/11418/9067 10146/11417/9067 -f 10148/11423/9069 10156/11424/9069 10155/11422/9068 10147/11421/9068 -f 10149/11425/9070 10157/11426/9070 10156/11424/9069 10148/11423/9069 -f 10150/11427/9071 10158/11428/9072 10157/11426/9070 10149/11425/9070 -f 10151/11429/9073 10159/11430/9074 10158/11428/9072 10150/11427/9071 -f 10152/11416/9066 10160/11415/9066 10159/11430/9074 10151/11429/9073 -f 10153/11414/9065 10161/11431/9075 10168/11432/9076 10160/11415/9066 -f 10154/11418/9067 10162/11433/9077 10161/11434/9075 10153/11419/9065 -f 10155/11422/9068 10163/11435/9078 10162/11433/9077 10154/11418/9067 -f 10156/11424/9069 10164/11436/9079 10163/11435/9078 10155/11422/9068 -f 10157/11426/9070 10165/11437/9080 10164/11436/9079 10156/11424/9069 -f 10158/11428/9072 10166/11438/9081 10165/11437/9080 10157/11426/9070 -f 10159/11430/9074 10167/11439/9082 10166/11438/9081 10158/11428/9072 -f 10160/11415/9066 10168/11432/9076 10167/11439/9082 10159/11430/9074 -f 10161/11431/9075 10169/11440/9083 10176/11441/9084 10168/11432/9076 -f 10162/11433/9077 10170/11442/9085 10169/11443/9083 10161/11434/9075 -f 10163/11435/9078 10171/11444/9086 10170/11442/9085 10162/11433/9077 -f 10164/11436/9079 10172/11445/9087 10171/11444/9086 10163/11435/9078 -f 10165/11437/9080 10173/11446/9088 10172/11445/9087 10164/11436/9079 -f 10166/11438/9081 10174/11447/9089 10173/11446/9088 10165/11437/9080 -f 10167/11439/9082 10175/11448/9090 10174/11447/9089 10166/11438/9081 -f 10168/11432/9076 10176/11441/9084 10175/11448/9090 10167/11439/9082 -f 10177/11449/9091 10185/11450/9091 10192/11451/9092 10184/11452/9093 -f 10178/11453/9094 10186/11454/9095 10185/11455/9091 10177/11456/9091 -f 10179/11457/9096 10187/11458/9096 10186/11454/9095 10178/11453/9094 -f 10180/11459/9097 10188/11460/9098 10187/11458/9096 10179/11457/9096 -f 10181/11461/9099 10189/11462/9099 10188/11460/9098 10180/11459/9097 -f 10182/11463/9100 10190/11464/9100 10189/11462/9099 10181/11461/9099 -f 10183/11465/9101 10191/11466/9102 10190/11464/9100 10182/11463/9100 -f 10184/11452/9093 10192/11451/9092 10191/11466/9102 10183/11465/9101 -f 10185/11450/9091 10193/11467/9103 10200/11468/9104 10192/11451/9092 -f 10186/11454/9095 10194/11469/9105 10193/11470/9103 10185/11455/9091 -f 10187/11458/9096 10195/11471/9106 10194/11469/9105 10186/11454/9095 -f 10188/11460/9098 10196/11472/9107 10195/11471/9106 10187/11458/9096 -f 10189/11462/9099 10197/11473/9108 10196/11472/9107 10188/11460/9098 -f 10190/11464/9100 10198/11474/9109 10197/11473/9108 10189/11462/9099 -f 10191/11466/9102 10199/11475/9110 10198/11474/9109 10190/11464/9100 -f 10192/11451/9092 10200/11468/9104 10199/11475/9110 10191/11466/9102 -f 10193/11467/9103 10201/11476/9111 10208/11477/9112 10200/11468/9104 -f 10194/11469/9105 10202/11478/9113 10201/11479/9111 10193/11470/9103 -f 10195/11471/9106 10203/11480/9114 10202/11478/9113 10194/11469/9105 -f 10196/11472/9107 10204/11481/9115 10203/11480/9114 10195/11471/9106 -f 10197/11473/9108 10205/11482/9116 10204/11481/9115 10196/11472/9107 -f 10198/11474/9109 10206/11483/9117 10205/11482/9116 10197/11473/9108 -f 10199/11475/9110 10207/11484/9118 10206/11483/9117 10198/11474/9109 -f 10200/11468/9104 10208/11477/9112 10207/11484/9118 10199/11475/9110 -f 10201/11476/9111 10209/11485/9119 10216/11486/9120 10208/11477/9112 -f 10202/11478/9113 10210/11487/9121 10209/11488/9119 10201/11479/9111 -f 10203/11480/9114 10211/11489/9122 10210/11487/9121 10202/11478/9113 -f 10204/11481/9115 10212/11490/9123 10211/11489/9122 10203/11480/9114 -f 10205/11482/9116 10213/11491/9124 10212/11490/9123 10204/11481/9115 -f 10206/11483/9117 10214/11492/9125 10213/11491/9124 10205/11482/9116 -f 10207/11484/9118 10215/11493/9126 10214/11492/9125 10206/11483/9117 -f 10208/11477/9112 10216/11486/9120 10215/11493/9126 10207/11484/9118 -f 10209/11485/9119 10217/11494/9127 10224/11495/9128 10216/11486/9120 -f 10210/11487/9121 10218/11496/9129 10217/11497/9127 10209/11488/9119 -f 10211/11489/9122 10219/11498/9130 10218/11496/9129 10210/11487/9121 -f 10212/11490/9123 10220/11499/9131 10219/11498/9130 10211/11489/9122 -f 10213/11491/9124 10221/11500/9132 10220/11499/9131 10212/11490/9123 -f 10214/11492/9125 10222/11501/9133 10221/11500/9132 10213/11491/9124 -f 10215/11493/9126 10223/11502/9134 10222/11501/9133 10214/11492/9125 -f 10216/11486/9120 10224/11495/9128 10223/11502/9134 10215/11493/9126 -f 10217/11494/9127 10225/11503/9135 10232/11504/9136 10224/11495/9128 -f 10218/11496/9129 10226/11505/9137 10225/11506/9135 10217/11497/9127 -f 10219/11498/9130 10227/11507/9138 10226/11505/9137 10218/11496/9129 -f 10220/11499/9131 10228/11508/9139 10227/11507/9138 10219/11498/9130 -f 10221/11500/9132 10229/11509/9140 10228/11508/9139 10220/11499/9131 -f 10222/11501/9133 10230/11510/9141 10229/11509/9140 10221/11500/9132 -f 10223/11502/9134 10231/11511/9142 10230/11510/9141 10222/11501/9133 -f 10224/11495/9128 10232/11504/9136 10231/11511/9142 10223/11502/9134 -f 10233/11512/9143 10241/11513/9143 10248/11514/9144 10240/11515/9144 -f 10234/11516/9145 10242/11517/9145 10241/11518/9143 10233/11519/9143 -f 10235/11520/9146 10243/11521/9146 10242/11517/9145 10234/11516/9145 -f 10236/11522/9147 10244/11523/9147 10243/11521/9146 10235/11520/9146 -f 10237/11524/9148 10245/11525/9148 10244/11523/9147 10236/11522/9147 -f 10238/11526/9149 10246/11527/9149 10245/11525/9148 10237/11524/9148 -f 10239/11528/9150 10247/11529/9151 10246/11527/9149 10238/11526/9149 -f 10240/11515/9144 10248/11514/9144 10247/11529/9151 10239/11528/9150 -f 10241/11513/9143 10249/11530/9152 10256/11531/9153 10248/11514/9144 -f 10242/11517/9145 10250/11532/9154 10249/11533/9152 10241/11518/9143 -f 10243/11521/9146 10251/11534/9155 10250/11532/9154 10242/11517/9145 -f 10244/11523/9147 10252/11535/9156 10251/11534/9155 10243/11521/9146 -f 10245/11525/9148 10253/11536/9157 10252/11535/9156 10244/11523/9147 -f 10246/11527/9149 10254/11537/9158 10253/11536/9157 10245/11525/9148 -f 10247/11529/9151 10255/11538/9159 10254/11537/9158 10246/11527/9149 -f 10248/11514/9144 10256/11531/9153 10255/11538/9159 10247/11529/9151 -f 10249/11530/9152 10257/11539/9160 10264/11540/9161 10256/11531/9153 -f 10250/11532/9154 10258/11541/9162 10257/11542/9160 10249/11533/9152 -f 10251/11534/9155 10259/11543/9163 10258/11541/9162 10250/11532/9154 -f 10252/11535/9156 10260/11544/9164 10259/11543/9163 10251/11534/9155 -f 10253/11536/9157 10261/11545/9165 10260/11544/9164 10252/11535/9156 -f 10254/11537/9158 10262/11546/9166 10261/11545/9165 10253/11536/9157 -f 10255/11538/9159 10263/11547/9167 10262/11546/9166 10254/11537/9158 -f 10256/11531/9153 10264/11540/9161 10263/11547/9167 10255/11538/9159 -f 10265/11548/9168 10273/11549/9169 10280/11550/9170 10272/11551/9171 -f 10266/11552/9172 10274/11553/9173 10273/11554/9169 10265/11555/9168 -f 10267/11556/9174 10275/11557/9175 10274/11553/9173 10266/11552/9172 -f 10268/11558/9176 10276/11559/9177 10275/11557/9175 10267/11556/9174 -f 10269/11560/9178 10277/11561/9179 10276/11559/9177 10268/11558/9176 -f 10270/11562/9180 10278/11563/9181 10277/11561/9179 10269/11560/9178 -f 10271/11564/9182 10279/11565/9183 10278/11563/9181 10270/11562/9180 -f 10272/11551/9171 10280/11550/9170 10279/11565/9183 10271/11564/9182 -f 10273/11549/9169 10281/11566/9184 10288/11567/9185 10280/11550/9170 -f 10274/11553/9173 10282/11568/9186 10281/11569/9184 10273/11554/9169 -f 10275/11557/9175 10283/11570/9187 10282/11568/9186 10274/11553/9173 -f 10276/11559/9177 10284/11571/9188 10283/11570/9187 10275/11557/9175 -f 10277/11561/9179 10285/11572/9189 10284/11571/9188 10276/11559/9177 -f 10278/11563/9181 10286/11573/9190 10285/11572/9189 10277/11561/9179 -f 10279/11565/9183 10287/11574/9191 10286/11573/9190 10278/11563/9181 -f 10280/11550/9170 10288/11567/9185 10287/11574/9191 10279/11565/9183 -f 10281/11566/9184 10289/11575/9192 10296/11576/9193 10288/11567/9185 -f 10282/11568/9186 10290/11577/9194 10289/11578/9192 10281/11569/9184 -f 10283/11570/9187 10291/11579/9195 10290/11577/9194 10282/11568/9186 -f 10284/11571/9188 10292/11580/9196 10291/11579/9195 10283/11570/9187 -f 10285/11572/9189 10293/11581/9197 10292/11580/9196 10284/11571/9188 -f 10286/11573/9190 10294/11582/9198 10293/11581/9197 10285/11572/9189 -f 10287/11574/9191 10295/11583/9199 10294/11582/9198 10286/11573/9190 -f 10288/11567/9185 10296/11576/9193 10295/11583/9199 10287/11574/9191 -f 10297/11584/9200 10305/11585/9201 10312/11586/9202 10304/11587/9202 -f 10298/11588/9203 10306/11589/9203 10305/11590/9201 10297/11591/9200 -f 10299/11592/9204 10307/11593/9205 10306/11589/9203 10298/11588/9203 -f 10300/11594/9206 10308/11595/9206 10307/11593/9205 10299/11592/9204 -f 10301/11596/9207 10309/11597/9207 10308/11595/9206 10300/11594/9206 -f 10302/11598/9208 10310/11599/9208 10309/11597/9207 10301/11596/9207 -f 10303/11600/9209 10311/11601/9209 10310/11599/9208 10302/11598/9208 -f 10304/11587/9202 10312/11586/9202 10311/11601/9209 10303/11600/9209 -f 10305/11585/9201 10313/11602/9210 10320/11603/9211 10312/11586/9202 -f 10306/11589/9203 10314/11604/9212 10313/11605/9210 10305/11590/9201 -f 10307/11593/9205 10315/11606/9213 10314/11604/9212 10306/11589/9203 -f 10308/11595/9206 10316/11607/9214 10315/11606/9213 10307/11593/9205 -f 10309/11597/9207 10317/11608/9215 10316/11607/9214 10308/11595/9206 -f 10310/11599/9208 10318/11609/9216 10317/11608/9215 10309/11597/9207 -f 10311/11601/9209 10319/11610/9217 10318/11609/9216 10310/11599/9208 -f 10312/11586/9202 10320/11603/9211 10319/11610/9217 10311/11601/9209 -f 10313/11602/9210 10321/11611/9218 10328/11612/9219 10320/11603/9211 -f 10314/11604/9212 10322/11613/9220 10321/11614/9218 10313/11605/9210 -f 10315/11606/9213 10323/11615/9221 10322/11613/9220 10314/11604/9212 -f 10316/11607/9214 10324/11616/9222 10323/11615/9221 10315/11606/9213 -f 10317/11608/9215 10325/11617/9223 10324/11616/9222 10316/11607/9214 -f 10318/11609/9216 10326/11618/9224 10325/11617/9223 10317/11608/9215 -f 10319/11610/9217 10327/11619/9225 10326/11618/9224 10318/11609/9216 -f 10320/11603/9211 10328/11612/9219 10327/11619/9225 10319/11610/9217 -f 10321/11611/9218 10329/11620/9226 10336/11621/9227 10328/11612/9219 -f 10322/11613/9220 10330/11622/9228 10329/11623/9226 10321/11614/9218 -f 10323/11615/9221 10331/11624/9229 10330/11622/9228 10322/11613/9220 -f 10324/11616/9222 10332/11625/9230 10331/11624/9229 10323/11615/9221 -f 10325/11617/9223 10333/11626/9231 10332/11625/9230 10324/11616/9222 -f 10326/11618/9224 10334/11627/9232 10333/11626/9231 10325/11617/9223 -f 10327/11619/9225 10335/11628/9233 10334/11627/9232 10326/11618/9224 -f 10328/11612/9219 10336/11621/9227 10335/11628/9233 10327/11619/9225 -f 10329/11620/9226 10337/11629/9234 10344/11630/9235 10336/11621/9227 -f 10330/11622/9228 10338/11631/9236 10337/11632/9234 10329/11623/9226 -f 10331/11624/9229 10339/11633/9237 10338/11631/9236 10330/11622/9228 -f 10332/11625/9230 10340/11634/9238 10339/11633/9237 10331/11624/9229 -f 10333/11626/9231 10341/11635/9239 10340/11634/9238 10332/11625/9230 -f 10334/11627/9232 10342/11636/9240 10341/11635/9239 10333/11626/9231 -f 10335/11628/9233 10343/11637/9241 10342/11636/9240 10334/11627/9232 -f 10336/11621/9227 10344/11630/9235 10343/11637/9241 10335/11628/9233 -f 10337/11629/9234 10345/11638/9242 10352/11639/9243 10344/11630/9235 -f 10338/11631/9236 10346/11640/9244 10345/11641/9242 10337/11632/9234 -f 10339/11633/9237 10347/11642/9245 10346/11640/9244 10338/11631/9236 -f 10340/11634/9238 10348/11643/9246 10347/11642/9245 10339/11633/9237 -f 10341/11635/9239 10349/11644/9247 10348/11643/9246 10340/11634/9238 -f 10342/11636/9240 10350/11645/9248 10349/11644/9247 10341/11635/9239 -f 10343/11637/9241 10351/11646/9249 10350/11645/9248 10342/11636/9240 -f 10344/11630/9235 10352/11639/9243 10351/11646/9249 10343/11637/9241 -f 10353/11647/9250 10361/11648/9250 10368/11649/9251 10360/11650/9252 -f 10354/11651/9253 10362/11652/9253 10361/11653/9250 10353/11654/9250 -f 10355/11655/9254 10363/11656/9254 10362/11652/9253 10354/11651/9253 -f 10356/11657/9255 10364/11658/9256 10363/11656/9254 10355/11655/9254 -f 10357/11659/9257 10365/11660/9257 10364/11658/9256 10356/11657/9255 -f 10358/11661/9258 10366/11662/9258 10365/11660/9257 10357/11659/9257 -f 10359/11663/9259 10367/11664/9259 10366/11662/9258 10358/11661/9258 -f 10360/11650/9252 10368/11649/9251 10367/11664/9259 10359/11663/9259 -f 10361/11648/9250 10369/11665/9260 10376/11666/9261 10368/11649/9251 -f 10362/11652/9253 10370/11667/9262 10369/11668/9260 10361/11653/9250 -f 10363/11656/9254 10371/11669/9263 10370/11667/9262 10362/11652/9253 -f 10364/11658/9256 10372/11670/9264 10371/11669/9263 10363/11656/9254 -f 10365/11660/9257 10373/11671/9265 10372/11670/9264 10364/11658/9256 -f 10366/11662/9258 10374/11672/9266 10373/11671/9265 10365/11660/9257 -f 10367/11664/9259 10375/11673/9267 10374/11672/9266 10366/11662/9258 -f 10368/11649/9251 10376/11666/9261 10375/11673/9267 10367/11664/9259 -f 10369/11665/9260 10377/11674/9268 10384/11675/9269 10376/11666/9261 -f 10370/11667/9262 10378/11676/9270 10377/11677/9268 10369/11668/9260 -f 10371/11669/9263 10379/11678/9271 10378/11676/9270 10370/11667/9262 -f 10372/11670/9264 10380/11679/9272 10379/11678/9271 10371/11669/9263 -f 10373/11671/9265 10381/11680/9273 10380/11679/9272 10372/11670/9264 -f 10374/11672/9266 10382/11681/9274 10381/11680/9273 10373/11671/9265 -f 10375/11673/9267 10383/11682/9275 10382/11681/9274 10374/11672/9266 -f 10376/11666/9261 10384/11675/9269 10383/11682/9275 10375/11673/9267 -f 10377/11674/9268 10385/11683/9276 10392/11684/9277 10384/11675/9269 -f 10378/11676/9270 10386/11685/9278 10385/11686/9276 10377/11677/9268 -f 10379/11678/9271 10387/11687/9279 10386/11685/9278 10378/11676/9270 -f 10380/11679/9272 10388/11688/9280 10387/11687/9279 10379/11678/9271 -f 10381/11680/9273 10389/11689/9281 10388/11688/9280 10380/11679/9272 -f 10382/11681/9274 10390/11690/9282 10389/11689/9281 10381/11680/9273 -f 10383/11682/9275 10391/11691/9283 10390/11690/9282 10382/11681/9274 -f 10384/11675/9269 10392/11684/9277 10391/11691/9283 10383/11682/9275 -f 10385/11683/9276 10393/11692/9284 10400/11693/9285 10392/11684/9277 -f 10386/11685/9278 10394/11694/9286 10393/11695/9284 10385/11686/9276 -f 10387/11687/9279 10395/11696/9287 10394/11694/9286 10386/11685/9278 -f 10388/11688/9280 10396/11697/9288 10395/11696/9287 10387/11687/9279 -f 10389/11689/9281 10397/11698/9289 10396/11697/9288 10388/11688/9280 -f 10390/11690/9282 10398/11699/9290 10397/11698/9289 10389/11689/9281 -f 10391/11691/9283 10399/11700/9291 10398/11699/9290 10390/11690/9282 -f 10392/11684/9277 10400/11693/9285 10399/11700/9291 10391/11691/9283 -f 10393/11692/9284 10401/11701/9292 10408/11702/9293 10400/11693/9285 -f 10394/11694/9286 10402/11703/9294 10401/11704/9292 10393/11695/9284 -f 10395/11696/9287 10403/11705/9295 10402/11703/9294 10394/11694/9286 -f 10396/11697/9288 10404/11706/9296 10403/11705/9295 10395/11696/9287 -f 10397/11698/9289 10405/11707/9297 10404/11706/9296 10396/11697/9288 -f 10398/11699/9290 10406/11708/9298 10405/11707/9297 10397/11698/9289 -f 10399/11700/9291 10407/11709/9299 10406/11708/9298 10398/11699/9290 -f 10400/11693/9285 10408/11702/9293 10407/11709/9299 10399/11700/9291 -f 10409/11710/9300 10417/11711/9301 10424/11712/9302 10416/11713/9303 -f 10410/11714/9304 10418/11715/9305 10417/11716/9301 10409/11717/9300 -f 10411/11718/9306 10419/11719/9306 10418/11715/9305 10410/11714/9304 -f 10412/11720/9307 10420/11721/9307 10419/11719/9306 10411/11718/9306 -f 10413/11722/9308 10421/11723/9308 10420/11721/9307 10412/11720/9307 -f 10414/11724/9309 10422/11725/9309 10421/11723/9308 10413/11722/9308 -f 10415/11726/9310 10423/11727/9311 10422/11725/9309 10414/11724/9309 -f 10416/11713/9303 10424/11712/9302 10423/11727/9311 10415/11726/9310 -f 10417/11711/9301 10425/11728/9312 10432/11729/9313 10424/11712/9302 -f 10418/11715/9305 10426/11730/9314 10425/11731/9312 10417/11716/9301 -f 10419/11719/9306 10427/11732/9315 10426/11730/9314 10418/11715/9305 -f 10420/11721/9307 10428/11733/9316 10427/11732/9315 10419/11719/9306 -f 10421/11723/9308 10429/11734/9317 10428/11733/9316 10420/11721/9307 -f 10422/11725/9309 10430/11735/9318 10429/11734/9317 10421/11723/9308 -f 10423/11727/9311 10431/11736/9319 10430/11735/9318 10422/11725/9309 -f 10424/11712/9302 10432/11729/9313 10431/11736/9319 10423/11727/9311 -f 10425/11728/9312 10433/11737/9320 10440/11738/9321 10432/11729/9313 -f 10426/11730/9314 10434/11739/9322 10433/11740/9320 10425/11731/9312 -f 10427/11732/9315 10435/11741/9323 10434/11739/9322 10426/11730/9314 -f 10428/11733/9316 10436/11742/9324 10435/11741/9323 10427/11732/9315 -f 10429/11734/9317 10437/11743/9325 10436/11742/9324 10428/11733/9316 -f 10430/11735/9318 10438/11744/9326 10437/11743/9325 10429/11734/9317 -f 10431/11736/9319 10439/11745/9327 10438/11744/9326 10430/11735/9318 -f 10432/11729/9313 10440/11738/9321 10439/11745/9327 10431/11736/9319 -f 10441/11746/9328 10449/11747/9328 10456/11748/9329 10448/11749/9329 -f 10442/11750/9330 10450/11751/9330 10449/11752/9328 10441/11753/9328 -f 10443/11754/9331 10451/11755/9331 10450/11751/9330 10442/11750/9330 -f 10444/11756/9332 10452/11757/9333 10451/11755/9331 10443/11754/9331 -f 10445/11758/9334 10453/11759/9335 10452/11757/9333 10444/11756/9332 -f 10446/11760/9336 10454/11761/9337 10453/11759/9335 10445/11758/9334 -f 10447/11762/9338 10455/11763/9339 10454/11761/9337 10446/11760/9336 -f 10448/11749/9329 10456/11748/9329 10455/11763/9339 10447/11762/9338 -f 10449/11747/9328 10457/11764/9340 10464/11765/9341 10456/11748/9329 -f 10450/11751/9330 10458/11766/9342 10457/11767/9340 10449/11752/9328 -f 10451/11755/9331 10459/11768/9343 10458/11766/9342 10450/11751/9330 -f 10452/11757/9333 10460/11769/9344 10459/11768/9343 10451/11755/9331 -f 10453/11759/9335 10461/11770/9345 10460/11769/9344 10452/11757/9333 -f 10454/11761/9337 10462/11771/9346 10461/11770/9345 10453/11759/9335 -f 10455/11763/9339 10463/11772/9347 10462/11771/9346 10454/11761/9337 -f 10456/11748/9329 10464/11765/9341 10463/11772/9347 10455/11763/9339 -f 10457/11764/9340 10465/11773/9348 10472/11774/9349 10464/11765/9341 -f 10458/11766/9342 10466/11775/9350 10465/11776/9348 10457/11767/9340 -f 10459/11768/9343 10467/11777/9351 10466/11775/9350 10458/11766/9342 -f 10460/11769/9344 10468/11778/9352 10467/11777/9351 10459/11768/9343 -f 10461/11770/9345 10469/11779/9353 10468/11778/9352 10460/11769/9344 -f 10462/11771/9346 10470/11780/9354 10469/11779/9353 10461/11770/9345 -f 10463/11772/9347 10471/11781/9355 10470/11780/9354 10462/11771/9346 -f 10464/11765/9341 10472/11774/9349 10471/11781/9355 10463/11772/9347 -f 10473/11782/9356 10481/11783/9356 10488/11784/9357 10480/11785/9357 -f 10474/11786/9358 10482/11787/9358 10481/11788/9356 10473/11789/9356 -f 10475/11790/9359 10483/11791/9360 10482/11787/9358 10474/11786/9358 -f 10476/11792/9361 10484/11793/9362 10483/11791/9360 10475/11790/9359 -f 10477/11794/9363 10485/11795/9364 10484/11793/9362 10476/11792/9361 -f 10478/11796/9365 10486/11797/9365 10485/11795/9364 10477/11794/9363 -f 10479/11798/9366 10487/11799/9367 10486/11797/9365 10478/11796/9365 -f 10480/11785/9357 10488/11784/9357 10487/11799/9367 10479/11798/9366 -f 10481/11783/9356 10489/11800/9368 10496/11801/9369 10488/11784/9357 -f 10482/11787/9358 10490/11802/9370 10489/11803/9368 10481/11788/9356 -f 10483/11791/9360 10491/11804/9371 10490/11802/9370 10482/11787/9358 -f 10484/11793/9362 10492/11805/9372 10491/11804/9371 10483/11791/9360 -f 10485/11795/9364 10493/11806/9373 10492/11805/9372 10484/11793/9362 -f 10486/11797/9365 10494/11807/9374 10493/11806/9373 10485/11795/9364 -f 10487/11799/9367 10495/11808/9375 10494/11807/9374 10486/11797/9365 -f 10488/11784/9357 10496/11801/9369 10495/11808/9375 10487/11799/9367 -f 10489/11800/9368 10497/11809/9376 10504/11810/9377 10496/11801/9369 -f 10490/11802/9370 10498/11811/9378 10497/11812/9376 10489/11803/9368 -f 10491/11804/9371 10499/11813/9379 10498/11811/9378 10490/11802/9370 -f 10492/11805/9372 10500/11814/9380 10499/11813/9379 10491/11804/9371 -f 10493/11806/9373 10501/11815/9381 10500/11814/9380 10492/11805/9372 -f 10494/11807/9374 10502/11816/9382 10501/11815/9381 10493/11806/9373 -f 10495/11808/9375 10503/11817/9383 10502/11816/9382 10494/11807/9374 -f 10496/11801/9369 10504/11810/9377 10503/11817/9383 10495/11808/9375 diff --git a/data/scenes/movingtrees/tree10_a.xml b/data/scenes/movingtrees/tree10_a.xml deleted file mode 100644 index 3c74af042..000000000 --- a/data/scenes/movingtrees/tree10_a.xml +++ /dev/null @@ -1,32015 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/data/scenes/movingtrees/tree1_a.xml b/data/scenes/movingtrees/tree1_a.xml new file mode 100644 index 000000000..5c73f9c2f --- /dev/null +++ b/data/scenes/movingtrees/tree1_a.xml @@ -0,0 +1,23743 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/data/surveys/movingtrees_tls/tls_tree10_a.xml b/data/surveys/movingtrees_tls/tls_tree1_a.xml similarity index 90% rename from data/surveys/movingtrees_tls/tls_tree10_a.xml rename to data/surveys/movingtrees_tls/tls_tree1_a.xml index a2d4cc069..0c1e02e8f 100644 --- a/data/surveys/movingtrees_tls/tls_tree10_a.xml +++ b/data/surveys/movingtrees_tls/tls_tree1_a.xml @@ -1,7 +1,7 @@ - + diff --git a/example_notebooks/16_tree_dynamic.ipynb b/example_notebooks/16_tree_dynamic.ipynb index fe45eac36..f5f383346 100644 --- a/example_notebooks/16_tree_dynamic.ipynb +++ b/example_notebooks/16_tree_dynamic.ipynb @@ -420,7 +420,7 @@ ".output_html .vm { color: #19177C } /* Name.Variable.Magic */\n", ".output_html .il { color: #666666 } /* Literal.Number.Integer.Long */
<document>\n",
        "        <scannerSettings id="tls" active="true" pulseFreq_hz="600000" verticalResolution_deg="0.04" horizontalResolution_deg="0.04" />\n",
-       "        <survey name="tls_tree10_a" platform="data/platforms.xml#tripod" scanner="data/scanners_tls.xml#riegl_vz400" scene="data/scenes/movingtrees/tree10_a.xml#tree10">\n",
+       "        <survey name="tls_tree1_a" platform="data/platforms.xml#tripod" scanner="data/scanners_tls.xml#riegl_vz400" scene="data/scenes/movingtrees/tree1_a.xml#tree1">\n",
        "            <leg>\n",
        "            <platformSettings x="3.0000" y="0.0000" z="0" onGround="true" />\n",
        "            <scannerSettings template="tls" headRotateStart_deg="45.0000" headRotateStop_deg="135.0000" trajectoryTimeInterval_s="0.05" />\n",
@@ -454,7 +454,7 @@
        "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
        "\\PY{n+nt}{\\PYZlt{}document}\\PY{n+nt}{\\PYZgt{}}\n",
        "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{active=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreq\\PYZus{}hz=}\\PY{l+s}{\\PYZdq{}600000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{verticalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{horizontalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}survey}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}tls\\PYZus{}tree10\\PYZus{}a\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{platform=}\\PY{l+s}{\\PYZdq{}data/platforms.xml\\PYZsh{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanner=}\\PY{l+s}{\\PYZdq{}data/scanners\\PYZus{}tls.xml\\PYZsh{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scene=}\\PY{l+s}{\\PYZdq{}data/scenes/movingtrees/tree10\\PYZus{}a.xml\\PYZsh{}tree10\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}survey}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}tls\\PYZus{}tree1\\PYZus{}a\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{platform=}\\PY{l+s}{\\PYZdq{}data/platforms.xml\\PYZsh{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanner=}\\PY{l+s}{\\PYZdq{}data/scanners\\PYZus{}tls.xml\\PYZsh{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scene=}\\PY{l+s}{\\PYZdq{}data/scenes/movingtrees/tree1\\PYZus{}a.xml\\PYZsh{}tree1\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
        "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
        "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
        "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
@@ -487,7 +487,7 @@
       "text/plain": [
        "\n",
        "        \n",
-       "        \n",
+       "        \n",
        "            \n",
        "            \n",
        "            \n",
@@ -523,7 +523,7 @@
     }
    ],
    "source": [
-    "Code(display_xml('data/surveys/movingtrees_tls/tls_tree10_a.xml'), language='XML')"
+    "Code(display_xml('data/surveys/movingtrees_tls/tls_tree1_a.xml'), language='XML')"
    ]
   },
   {
@@ -582,12 +582,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Loading points from output/tls_tree10_a/2023-08-24_14-01-38\n"
+      "Loading points from output/tls_tree1_a/2023-08-24_22-37-26\n"
      ]
     }
    ],
    "source": [
-    "output_path = find_playback_dir('data/surveys/movingtrees_tls/tls_tree10_a.xml')\n",
+    "output_path = find_playback_dir('data/surveys/movingtrees_tls/tls_tree1_a.xml')\n",
     "\n",
     "print('Loading points from', Path(output_path).relative_to(helios_path).as_posix())\n",
     "\n",
@@ -656,7 +656,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "
"
       ]
@@ -720,7 +720,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's have a look at a few specific leaves, some of which are static and some of which are moving."
+    "Let's have a look at a few of the leaves, some of which are static and some of which are moving."
    ]
   },
   {
@@ -743,7 +743,7 @@
     "                  (pts[:, 2] < zmax))\n",
     "    return clip_index\n",
     "\n",
-    "clip_idx = clip_by_bb(pc, -0.392, 0.0527, -0.183, 0.381, 1.233, 1.640)\n",
+    "clip_idx = clip_by_bb(pc, -0.21, 0.116, -0.317, 0.02, 1.66, 1.88)\n",
     "pc_clipped = pc[clip_idx]\n",
     "pt_src_id_clipped = pt_src_id[clip_idx]\n",
     "object_id_clipped = object_id[clip_idx]"
@@ -761,7 +761,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "
"
       ]
@@ -788,7 +788,7 @@
     "# set equal axes\n",
     "box = (np.ptp(pc_clipped[:, 0]), np.ptp(pc_clipped[:, 1]), np.ptp(pc_clipped[:, 2]))\n",
     "ax1.set_box_aspect(box)\n",
-    "ax1.view_init(elev=20, azim=15)\n",
+    "ax1.view_init(elev=15, azim=170)\n",
     "ax1.set_title(label='a) Coloured by Object ID', fontsize=18)\n",
     "\n",
     "# Second subplot\n",
@@ -805,7 +805,7 @@
     "ax2.set_zticks([])\n",
     "ax2.set_box_aspect(box)\n",
     "ax2.set_title(label='b) Coloured by Scan Position', fontsize=18)\n",
-    "ax2.view_init(elev=20, azim=15)\n",
+    "ax2.view_init(elev=15, azim=170)\n",
     "# Adjust subplots\n",
     "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n",
     "                    wspace=0.02, hspace=0.02)\n",
@@ -825,8 +825,8 @@
    },
    "outputs": [],
    "source": [
-    "moving_leaves = [16, 20, 58, 98, 106, 121, 175, 182]\n",
-    "static_leaves = [193, 207, 211, 236, 279, 294, 352, 343]"
+    "moving_leaves = [35, 57, 63, 73, 89, 124, 125, 130]\n",
+    "static_leaves = [167, 189, 195, 200, 220, 242, 251, 260]"
    ]
   },
   {
@@ -841,7 +841,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "
"
       ]
@@ -888,7 +888,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "
"
       ]
@@ -922,6 +922,13 @@
     "fig.suptitle('Moving leaves', fontsize=16)\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

From 9014ea2220ae64c8eec29ae3613c37fdfa5365bd Mon Sep 17 00:00:00 2001
From: han16nah 
Date: Fri, 25 Aug 2023 11:56:00 +0200
Subject: [PATCH 05/10] add gif

---
 img/example_16.gif | Bin 0 -> 1532228 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 img/example_16.gif

diff --git a/img/example_16.gif b/img/example_16.gif
new file mode 100644
index 0000000000000000000000000000000000000000..d755f9862fd373f1e6fcd40eb03c338728edfbb4
GIT binary patch
literal 1532228
zcmeFY=U3Cq7e4w)PauSZCY=yMFNOdiAYkZ00fV9<0tV^TP~{+E3MKSVR78YOR8&Mj
zR4m66ii)Th5fBtLfMP(ZqGILe_ujwZzPNYYz4ok`7c(zrW<4{rpZ$!dmj~4@GyvQP
z{sveA8vueEfQ)dL_p(sLDQ;5Uq_#;-T}@qGUr)U(T0>n^OG8UXTL*9MsjGw6H8#?9
zv?SmO1l_-`M>w8L)Hl@EBN`YO8kpM}>Khsw7#cdM85tP;ARhl7ocjE(ouO^5^&
zbCRi%iK&UHS@5>=w0oNA_kvEXjgI^1_q0r&{XiS{j>LZYEhK
z7FcFPl1XIpRy{I3fSmlV6~)?`Y;EmiVZDuDV@sdWoK{au;p(*yDeK>
zt+oVfIgqU!>>d8+Tekcy4vt$Koa`O8ksU(SoD9{RHk&#*I5}+#-s<4G)seQ<$%D4V
zp62B2d`Q8C=ITndcHO$g-Nnt_+ul7!$HU#)!`s5+&{aC!fbOMAKVV7ER`jCNy`t;3
zQ7yJ*#dz=A<{jnZv)#uhf#j2A;7ii=CE56f<@@p#89V&^3iNg|cJ55R=1&VDG+trG)+a0{6#k-=Ao*|B&tebb8QMs~{IzkcVeb;QpW@>tJuo
z;A(tGQ1AhJ;(EOY?WJVgKOMAdR(qgJZpPGTtZ?3E3tAH%VI05&W6>nGs)RBDVCbN-94F=
zoSc-LTz)XckCN&|PEAfdoOU=P{cy(NjDIrz$qe;5;$wZ}#GWIkEVDARvYG>q?zGGH
zq#rYJI=0)ElbOjm#^Ij4#p7{ugSX}7nGfs{giVM$R*iNLzNto(T2zbB8M
zJav7pwx;$BeczeJ-Subch5F77^^HxX3C&H-=g*$MaQ?!@lx-I?1KV2Lx;TM14%^(|
z1$AHVzMU8J-(69^!H&U!!NF&5hQ-5UqvLNT-z>~8=x)gRy8G{Pb!NDeEl3a$006q*
zp)i^M)ql)glOsY?Bf{~AV^X8>5t&gjkrrWx67cCU;Sq=MsfX~MULN?cLy74T$*B>^
zfZ5+c!2fWS|Nj)K{@)I%{~u5PU&qtN|7FMxK-o-{-Y)FnAr(!62HG3?^09i`YUv$~
z_li`lV*Oi$O%KZOu7#Rjoy`v`jkc2)qzrsd6)9}6)~oXUU>*fAJ2`Om{L^~%V6fJ<
zF6sRy!5Y_EU)^BM
z+`l&nTy}1jUsV~2>$>vxzr%5LQ19-QHxL(PDy^X@uk^k^V@tO8O%Hi3qrm7lk8fW6
z@Koqpq`f!+{h%K4vL*5Ax#EvDmoD%!&b`@fDo`iPYKs3iz&*+4l8lMe|&_Vda9I9US^uvoqWBLR_7c=
z;)wu)0=-&T3A4fT@u-Ma(0&bn)ouxgY$iF7<1m;?lP?NaMVV+e4iDtBh0)U$z9URd
z`s&T|Y!Ct~K--yT*;asHN}~5w1;_i(o`h(voc%{8^&cSpO9#{-Z=Y?niPgNxEeeg(EC!O_DcCg+%mh*pHK2awbVH>Qj2x`d2J
zG-K$mj=jM#*tJJoWagTs<{Kg!$fkJMBUr{8@YE{+6i^N;?T|9Zhd}3mx+At>q4P1p
z&-K)ueIgJFPJE7`PP1p^9EzxHJV&RCx&L&Kg$r7
z7mVSEBlZ>HJ(ZBa!F%eA6AyDyd|m$vhz@d%)30SI&VzjUw=kspl=5qE+CajIQ)nX6
z{6p6GP2*@E-|fa{AIx{m&HHL!elX9|4z`blzFOObhB%Ht-?63X`qB9Wgp|csjJQ=b
zer9){i5LXKZU{hl$AJM6NJY9jW!Tbe^)PpRrSi$&XOku2Zbc^-a3Eqw+i
zU0POl#LtC4FHwY)RG-_2S1`^()d0iOu{(@TW
zM)=7}-Io^#yJVDH{=Bm>*G<}y{u~2_xHoK@K;@jM=;08=@M{yU@@UmuDkc;(R300#
zb+Qfw=whP6XCT?1OF?AXS#XeGn<9e{swCiyXo5qD>ux7x4)bIAdTJk3-3bI|OeTLO
z;N(ZpCX63kixrBCK<<+xjyWm@0I&qUyDed=ct?Dr>O?gZGRVir6l}-CSZdXY6ODS{_xwl3%7AI-&jN5Ji|;3BQkP^*>J~f8XH52HJOXQD`9hxv
zyQk?;JCQnJs^q8`qTJFFDc43dRbxXUiF`Nti{+r5;IK1+&%K~y&o+1{5?*BpkFdZ@
zAv09_pq)i;2(=yT_$;vOL!rd5t)s+46sj=+Al%M?@^_@ps3_XgK`lV3dTL+JP&Z6-
zkWms3KxFT?!0ptNiV}s>iY#isc`RE7BfNr#20-lSY;ZDu3Oi&3SMPkrJ?KB9p1^9n
zsRFoa*3b|U)R)h^Q~I7%GpT`Tk1@xpcW_uj3)}!Oh^A@S`v?&@A^6NfUS%_thM;%*
z?n@K6EC{cmiA|=SDgsbfpl}PggWYc?=Bl^QK{zo8rz8a|=+6>QPKyv`5_I-jm`*(n
ztV|G$MIWuOC60%HYC)x7O(s;Vc@J4!UgEa_y`phn3?g;niUih)Xq3RX6IohI7Ttf7wG}{Y$jbxhq4OMqaDMvn2D&d^Fs;sD6Vn7?6EoTcDS~DC_h~Fr`|TK0CFjQ^n(S&f
zn>zm&>J}xCd?q5&n*lK^WvJkOW)cwXy@=
zG(ZCx;AB04gLuw@zn(`sK=m$&vVYhLs})kRvnDk17eEl;nVgxZMM=zdqTMupz`o6j
z<3pX%M0mI~JjBT+htFu@cp35*wNoyA>)86waLo$Co7#*}MR}WlKKCkh1&D$)eZ~1s
zsWeP-P!b3h&9O~93yGpOR23A%@Hyi)_iA0?Fut1&as|cyhSz}7tB)YXvp(^CIEm4F
zgNuH7V58cUX?(t=hwdXXmc7GXChvh3D9v;2n+lX3L_h-QWGWZvFuG4^^Ft?jbAj%f
zU+Voh3sy1rW((hq5-X8|OPLxYgQrI{UxU?Hc-)E@RNVM$Dqu3`&I0THh7mgyqRxkAiaBw3x09V#BFVn7HSY)kx?615Lc@Gj1|5PN=mKNDvW`GmEdDOEhz4{s
z!b={&QVB<~$r``XkvIlKxr<wRsOMmB_*zZ9=?iN6rDrRv5Zl
zfRU!kKBO50RqJ?lq^X_@ou(0g>0^#~rVlnEQd$tYH`4v|l%6#q)>&u?An(SI8x=!V
z+U2&oo4#Q{pbUt8x?HqG&ek1fp1KJQ$iJqbBogGD06i-4Z4y|e;~Y!cGZf#Whe#;4
z0L_vB69Tz=;v>HA<3?9veLR37wtRwsQV$?+2zPZqaPn*^$$=xLvB7KY@MqE3=LVQd
z1k5)TS?Z{q5est-iVmlQ@7{e>0GD@UgB=-Y2~B=TfQe>=e-Ohz2rv>6Fu~4=!$X?J
zvZ1&GEhJQ_fO*>rT)#n*sTY7cNHQG&qFanCCxIO!&|h+7P76Rcn1WrfkQM-8O$E7~
z0-3L%DrsQihhyDB2KLKu$
zKppHr_k|&wdjRqZ2qVh>z2epE?Piu5raR_Fq!T0aeo_1sE2q=IZfW5L1Jx)
z;g?iV^%AuF-q6Q6GOtKJmmgxTOknP@eJYx`0c;pE|6u$Bh1V&__mT1vHatL*gW05y
zYlkDOK@m(4Tc6j2hY+PW1dClSf-!C)E4qLLR(#g5Bl|cg8V_Nj5WjnYAckpqJN%21
zY=Q);iEa4x9h47Pvq@k*;Za8h(3^z(P6cne&WmG1>lAlRS$fW1Pd;oTlTrXvV`lBO
z+dJ#G`xGc9z6oezVd|Ok`83Q&@y=H?U=)ytb;&(z20lK>ei{al84mY_h}nOTP%%7V
z@L=p1oGtcKTS4iNWT0&LJpc*CqRto|b^1_y4=XE+4{ySP%s1LmK_yg#xD;aYU@_xya*3eh{k$&)!+r|dfko#FfqVeno`USg?}*t4Cko5z#e1>m^>hF#f(9+ZL(*O8qj;v~
zN#s2&>S?aoAQzTEgF1>K39N(FR{Cz&l3QDvo7hRG(>xSOCRg4mAlUFs27s;Pcd%tt
z+TqbFG26>4>m^W%-QSx7W892zL_vMoTN1g26QZO)_jFT{$cIg4aU$4UY}=22iVlBr
zuG=QRE;-oJZg19O8`o0#MdWSO60c#BA$
z&0yRYW8wqQUj=dtELn{UyGaFx*T~=ib^_x9qKR=V0gEnJsnQ)QX~M@DOF1kCnm35k
z6e7}VDs^4JmF-)sjN`Pq=|w_FivVe0jzbA%AoO1H&X<}hz4Xq=7+nb_hHCseY
z^cZkC7Ul5%W_`@wz@NH~by
zr;wRe^FktbAAjcolV09#@ouBAZ6vqtS8wp^=ch+W+1&tIB;xBZOdedSwVc?hqtq4I
zX>xwAKK1lfdjQi=c$oZiznj=QzX}asD8DzI@OW47kBYX(l?Qhy8u$yC0Zhdu4w=Hs
zH0?3u9^bT!m$@wzXW~~5bxsUvQUL3o%^!v=Xl(6apr5Ou*F>Pif8@&9U?5i}j!m@}
zyEaD(pEkyy?n-kL0s%rq1PNp#IiSYkKP5n*Ot2mU&SuN{vfPz+?PKQSMXr5p!5O>Z
z11up(6F}$*^aki)JrQj8WcQgt`#1s7%MuhI*#5>3ayABLK&!DRuwv1`Pa7e}4;q`3
zNVQg=e0QjHqf2PpYiA(AE6M7@NuUewasGq`97|Wxt+W=6E^S8&atMtMgGR$(`&AH`
z2{I5P@m$?f8jSCNk03tspVQLr(lg>b%Kqe~{mu}d^hl)nxYyxv|Ky`x!;m6>bnWAZ
zGP4Q3v_bJCM9;Nzieq@xHDeD?Ma7}_W!4tW;-069HipFpn;{gqCSCkhF%oaUPX6x_*%F*Z4lIIpKCZvQr%W>doh=Ysyh-Np|U
zgk%OovR=PXX+qeHyf|tO;a+~xrwcK_TjCnVGpr&vhk|@Q@7mO3PxQuKbfD(>S#9nK
z+52Sl%K(Lqa6*YzeYXB6C*){?oPOBgSBc^|Yq27GkBPH%N=evWXJqkSUEnQ+VxZ
znKx5d?Jn(XNniXl;qJ8An`w(b(;!$4uL4bX`n-YoPtk#c68s
z^&3^~cjO~eCUx(;ec!p3PHicbFz!yd{giC?eTNHq=dm;s>=ID(^*vL2_Mp>jc*tyI
z_H1_FRS2T$S$}KYlJhq?X@0SL-C*Q0(#zwk8Y4n(M}<_s=_$v`&Yr
zwY-^c`!nCJ{joD-UOHdlmGZH>?&GbyA1_(lJ@52Uq`h!qNR8Y+b}oD2atI{91Wd*U
z`qE%x?M3kt^h%rAl@Lh3FLe0sqQ98P{kmVmeX1{nye3}^+=ZRGxP4}O|(zW2iA67`Q!&6Q|S5ouYX}NR}BQ~9alg)k^q^qH6s3NLE}PkJvc%5
zHSXA#z5l@tXg_sGpa(g_kKaHBp4hozW#_hoC!dsq8W#lS-0*&o3LCm@qYxf5N-=eP
z^w4po*7c9A!k^jy@FmWp+rxG{_WxPg8hf|g_4AI=z%N5i(2YBmn#(#HKxnU}EvxWfE#-RjGNNN0@!1ShPD|6?SBkr&-cBJn
zUKe-leA?(<;G}$M)@;1lwNz63PDCrCCb0>%kJ-BnpL$e!1fOwJE=4H>dli$O&0N~s
z8SL5B0$LRoYwJ-0#k$WY2oRV-cj~DVAeD0x!FWz=sGHm!o5}2VjMn|v<3~I7e*)v+
zLUs0*?3O87Pb3V^?@!Kq^bj<3)~DX%OyHOK5tRAKs?{mMjkw~CghQ7MW^85))cBg)
zQt9gres6|$r=+%cK7gPDRjqqEiKws%$(+V<4sZLS8e@$V;Cfh|8JFtaPSSnf;v<_G
zRgH(Z=g7MSRnR_#Zh5n)v!!q(dg~psm;+tx=3Q)39}eW>d3AamSpqz^!9~{8|07;8
zRS3?Ni6C(bwJq+f^q_652l}wP$spMk^-LpuqQW%6Ty2nE5*Ty-tV$qEeJSf;DZ0U{Y9J)W5ZLOXfcpqd-Mk`{}E&Zy~9?^L#;vmTs1eWgg!Y#RylNM
zqB%d@fGNxi@TMICubZ(%IUbZkT3O;?JN`ttH;V}_H)jBwp-KNggN*MPL8YUZT%PoE9Tt>q`7jIS#IORUe#4RXzbC4I=Bz|?|zksG$+2(
zMC9oJ0qMR|*-h1{`8EctS=6?J2p%9O;yz#%*ZA)hQ*U-L<)T#dmMW3r{gO&L23at>
zgVCUR;ZLVo^!7z`08~|0l?5n=fvu?wPAm{!?st*%TrJAOII_)tpO$X&(RJs0pg%ue
zF$`Ti_k~kEvBBY{SEy{r@uw{4D9!4_~lDXi|}UCQaWEPf&|0oJiYR
zI`YAs_ti=aIT_y)(3~4zIB_ojHoDYeztJWJ04NKJcPI$~Xm$U648t5w5p$m1Qt?n&
zQ~AyUR3Au0U{xVN4To%CTZd0oP#W9fs1Vh^w2-4HsVKd*FNE-&c6THX?44u`j#zh-
zn;n(U4tLf2`F!B;o?)=8KnQabBQE}!DlScU2SM|pTh_$^CMCMQv>=g=vr+I@I1j(;khtgu72tISpfk0Et}
z&{>l%hy=hh!i`(^=kok9P;-zig9#us+0Y4+^VI;WJ)I{;t$|;F#~%F=8Rb#6(H1mb
z^bC2LO>`95qfu{_Wc|fF?Fli08X~PwwWlQ*2te*uG_ZfX>&Ye|V#8^m1Aev`9MBJzII=Gi`_vu`Tf~p<9Q3QkMo;tIx5O67WKdmB$W4nZFHQk)
zz+H1S4UKPG4SYa#P5xlyp;p}Dtu$_EoE$7N0G0QBv7^bqtB}L7diG8@?$ie|8&P$i0-KEHxJ$w1z8ZBvq0uIFzhiT-qUK3T_Rs0#DVAguh=&fO{+9}Bc
zi=*^|KCGf0T}*}PaX9skCCE>go>OE4UmK9cBxUrWH2E-f6>I?=__*7K|M+m2E+%6Q
zqHUlGqK1=vA@>@6Z@)Z+2D;f0Z=rgCkq9g!$%!o%?gLxLwdV$_cWq;FJJ)vDu>2sb
zs>^z_K>*(4nQ5x-6n4e$sf`*pLe>(At$X`k!55sgU{^#B{RW{4)#!hZ^bp@b#&ZOM9C%wgp>QBnDN4
zheKF&iKwjUc?EKET9wEYwR{nelc|90D?z0d9eZLFbTD{y99nz!&S#$yw=hi>7+1*A
zF;nd`SE0GwIb*rJg56M>EXU_N-YMr(pH4t^B)vwA6^?dQQgaXsyh(tH&Sw@vCF2MO
z_MQhgRhGYo-%fTd$dhGci92;zgW8Xd{l>Y~d_!s)T|~s_!_KP4EFa$p|5q(|xf3o!
z1If<(7pf-;HN77Hk1W^dV)UcD@l2Wif*c7rpFY6$OaV``@?2>!7meI-7Ia$C)^H~P
zH@cBsP^iv=J5mW$WS))iEK&*@{lP|28+8?mabgb9<#>3&7Q;Zc9~EID=B2IYq_ZKS
zxjZ@*!BVuKiaAk*O#=_%o`Ng!$#9Dm_(U>y36$?z4J~vL7;<^~sX$d2Hc!C8NiW4p
z>^J>vO&9KW4L%cHY--kn$Kqm
zML^##Gp|ENF7?GE^hG~F!aX@
z8&zRj-PD^4^%W(5SE{hw1Y$OR)e7CE&1ZY4s%Enhjtn-srD)^#L)la{P>_i4DzFbD
zxz$g*QCVzx*72`J#XGulJ7*9_#R%Ii2qlJmd*7Xl+(P;Btp{U3GMC_Q8`YSmBBACb
zNYJGt74nPt?l?B&kdY!ZiS2<$lwYEyHh`zA6eWysEFzPQIJ6~)902_$!Ayfmn2cKq`&vtt+n)CY9M-Yi$FDX
znlOJc#F4+56^5=G$n&C~gR5~oL)li~k~nGJhHHjt5*t#x)+F=2CUGV2Ac>>K!m6sKQdp4A4EAc%ha{Uh7?Lc10TL+I|W5X@~3*&90Af%$Wbmpgw
znh4y+sxRoa*trcw7)L5G=w4oY%oH2*Q?HqWY-_1HXQ!x$E<(3dp{Ll|%-#OSIbJL9
zpHhxJRE3}_%aOD%kC!5&Jx43fgbNW#BD`oHcE{ezf*LNTo1bM@+o+DR+{;#hY~sp*oW;PQaN
z^s}qatg6n%D9!IjZd_mgOZ>yK=sAD)>el*Q_4gG_mdzmsfoAkD=*P=!H9gmqu`!3*)wUwn%QHl;oP`!h9*DgPDMld@IhxoPX(
zoU86g=SB9e>#e?LR|Qe->e!p7O}x}|RFP3fiRTn2=brhh+Xo?IppK-*
zIcKEYKVy8UoC1qDY{bT44Mptz4*@Lw+AGwLvMTXYJv(T-E8J||sRj9pGu@Ku4jbWF
zHHk~T)rvPtq{pvS6msTKp6fX;-0Iu{l>Bd(cLK5&Eu)>naq1#xKmuO-ezz#qn(-P*
zVDnUH7PoQ`*6l{6s>M4__qdbb)SJ1--8hwwD1(0=J~m?eS+jxU6Q-kYJ92aaha^&l#tG_O>6GNk
zI1@t&l^x>a7*ptwP{s7AP4^`#d7;0Nb-!QYM6ZM7o!zu1rlJ;W@<`>{H?dkC931{x
zkN&i#HUT{gAOc$7ukKc9W2%*gs$7>C*G(xd>0J;>8mHfwW``<>LDyn9WT3Q8irScx
z7PxmXzs1bR)FDaQp;|2*gyjs2c-ML;%#o_D;P|Yqy`~xW&cv=fQ_mbT7E&rzmQ9zX
z%L&MKQ%#e6nP+7=SmfFA8MMkwUqkTYSHf)Adxpw;KZEx>DerfAywCo9;BbwwXT8v(
zblR+~zeJ!s9hbBJZbTiExRh3Z>0X<<6r?5Pgc{6-s?0JyW?ge|Cy|n-KXSJp^mNRFjtdAwCkd
z8jU50xLIRS76VZzP-LppY!qA?n;m&M4wN+u&R&W#lSC1sD~$e;@=Gf=OmuM(E=6J2
zBefW8wMBkUfS?RMC-@T`f*FNzqWLOwWn;TX9V_{>Qz!H0s!z&;4OJlW-KeUd`U!IM<
z^mYD9-F!3r<1^VH<+`fK-}BEN`J_0-(X<_}{fTvRz_l1~AV%y7t%73l$A4$zD%Z>I
z!WaIHoV(UL*GpOGyT8AG=%Wa}@I?)EiW5I@y|{Nia$$HVuSK9l2Wi>O6|_|heT}cl
zp7YO%5ub}0Hb{83XL0n8KpeUFqAg}DFM9l3!g%`JQ
zJ{kO%I5@U=YBu3>+l@ErToWU%X*bvGX|kCice5dwh@ZDa%#-9(HY^QO8a=>P2U5tJ
zQcR3KH^5_U&Vvc0Wi8tn{DDJ`FH*klVIjV){GR=+t+V#yZqn8VDZdQX+-&DeHtlK1
zTce*`^E#i}V8GRG`6T0&Tx$_(`nA%bCeca_I|@rPwEeQ{{K5!*OUdsmn%yz_oI}c~JBUl4tfl4p$=9X28kqyBw
zcRe_4n4heKSTXU6QDg92RP&QscuCaUU8)EV)pbV_Z@)pQXU_VDa;LJp7j(LCef39L
zX<^Qn!i-lv!K~_>oYN)Dzkwrj&Gp4{rRP7|2fm*;{Qcy&6y{xprE279YDGp=%n4zG
z%J|wICw3xm`RMZ-*}{DNhJP&B+L4(Ga!X~h_lr<84uuB#_E6TuDD2`}%=yCwWEywZ
zlgzVEzqKFxBv+PvYIYHP2xK%4;pOM-VnRLI^BigGE&$Z38cIXLkBajDeSkRH0;fi6
z9l{~*zCCh;cA}A<-xldi664djad}97q7vkv8&P{#b|MvH4k`^WBP1B&wbMOt}@$yU(>EK@=2}z;ZFUOZ-QW2*@8fdTL-Wv>f3ycg>Bfoy*U6P$lJ_C;hh>r&0t
zxEHm%w~Y1mzCf}?xKP@(z$z?Yjd(jZ!k@em6@i>_QE-Oebd?b>oR2>tkZ2FdS;=3$
z?zhA?6`s);MV3?^99jd&v+)YA#yg{)wz!Zoi-VZZ5nP!BaMI4yFE$@Ve$uVxv~fyrg?+*j>(yY
z5j@_zrX8SL{=dhj^TqnPY3yxUL!t
zCyOUaEe8z^0I+w#eoK)Ep<>451cX0iiT1@zP`Hl2B`E{yi)&Zq@woMIuGKru89JrB
z3dFbV@ZTjzU5vO|a(q;kg`{ra1nnZ?Yf*=s#SLI*v7RIg>`NJyI^Q#V0r)*O5>0-3
zczjf|vjn5E-lEZvtDe~suPJ5pA@2NRt=ZhWyPB*1)cibMtJTB%Wjy6F~
zbv)a4T5@>eKp?sr<5L<;6pHW@yRP~uyW0VfJ()<;Xs4F}lvSngDv)RzbpCqo6nE
z#&{&HwliO?M9kB2Zl1UFA{Lo-`dMDCLHM?|5IYA9mhT}v_39UDzSy&cas%yR-y=7?
zZ0G*{#x-3H4!wHhr(E~zjLjvLQwnJa!WaLn1yZK{ThjS>
zP~x7v;p-`f()+$p4sU7q5G;0aEZEWg9$a0@7`w?KpWaW5O~ZW8a?w1bH*kfBKoGE|
zNe^5mudW+V|NVZMwU#nA{OP(G*2yS`K%Bbj(9&Hm@I|adyFvTQixZ$c*=eRHF%>BF
z;`6*FRy?3CyCBSVh^&fK2C~*(8eoQp*!_?zOOHG)KhD$nxjyZ5C!oD6fQBGL;G1qK
z$`VAns`o?#2tL54K>Ji-SEtQulVl00vshjd81E!OhE0M|rS$s-sVfCL0IsY(-`#Qy
z$R~$Ou+{r@46F)HfBknESlu4jT&3T=&610I^2|TQDeYQ*dzey7HFV|H?6r-3x001g
znRsVO!}j#nD5X#Pa`Y6Y_`4b!<2tILueYuDMv$+b8p@hQ#e8}!@_Ft|%F(^bsD2V{
zP?WpbOU$`wJe1^HndeeKBU%_>U~E0DX`^#giXU20m8bb8U=%u(;>IkNm?B&`W&K>R
znh;;aYm`HX8Xm1mleOZ;UohII0oedNSg~CMwNM8k(Dxd(kDlD!$t4x-Q3_RKiJ$~_
zdvRngh?vISwz;P2XiVoh%5GW1tr9Om4w-uY``orbQLbY^SZp!7|J=H5sf)k4|G%Be
z9x5Q@o4G;Ur(3W>C9nfW(sT*p48tqv;ym$vIFUn+UTudUcVy#94%wQ43YK~U`<|ap
zmNN`qy(Nr$d97`Ffhl4C7^^Xpy0|p>$s5oBmMFBDAA(h+dEB_M%%ucUht8P|2-FY?BdsJc-Wjz%KqoIOC!<57!IBI
zey@P7Yd6ElNf!3;lZwOS*?g$o%MQ%k^*#-m38W_5xs=|27WbDOa!~=@iR{}
zV4m?iDj=%L#cpH*m%3pp*_7>uXnw*L{yp2&B#Gvy
zcgwoRRq8#R{|LGMFDrJ(k(VzB)UHih=6SAW)40m+{tW{s%fel)2bB>|P((?|eqNDv
ztt1?2N{iLnwr`vJ%J?pon0_`d8YKt<6maVIJ1w{YvwD|W}m+)`6=%aW?a+0!mN6}*0d2=mvSz-OQ4+)Gg
zVuCbDAd!v_%#eS}*0RU+R0I~HAi~3R={-VEU$A1c@VUh?yT@S`DW{s4?~SVM_6h!-
zjj62s5c_rcDeq5&`Bm{_myOdkTZh3)q~EsQ|9yYlr2XY|6VToBzWlbFFIQfQ$F(p|
zQhP1FR_Sy7(DLiMX8-+?E&I#(XJYr*jKyKs!}p-x54z9Im`l-F!pRW3p9qs8Zf1Iz
zT)@LED2l~AYK>V_q#%3i-Z1as2Ry=gfD^D`@}E)aj=PigQU|H)<{!^0@2;KO`g^W`
z{bTr29kT71<3iZxpA$F!e5u@fR6cgc&)1*-e7*YAaXIv9<|O3p*GpTSK5gCngOy+R
z{mBm7wI=z@B%L$*GI;jw_m_V!rW|_{{LBgEJ;Gx3v=dO`o^#j)q{fwBMc5_;gJudsi~A3tIiIy^7VhU<(OvK?>1$IrJk5gea!T7IUqLuHc;`NF^Rx$yF{j
zV5{E<0_cUd_8343Z{4c_3xXb{5hzqAt?`Iod4EOU)ebc<0PGO%s@Cdk+r`uFKLBq9
zIjun)N4zW7`s}=EFZHz_7z4;5H`P+fr#S$d+MqJqXffOP(Jxf)>%mnYUCcIJOSqn;
zwjOz@4*j)J3DdNq7N)XvaOv!uMX#{Aqq?e@Z%{)76c;*nRtrcBmdog~Z+A7LGuK0V
zh}K*ywyQ0>?^Z^sm31$XvC(r|=wdtIL!feARRdIHd9Jq$K>*<5d(Ann#5;osX^&wm
z2jj4}u>Z84FVWp;8cghSlDcl?L&5{5-(2H3iXiH(+tvOujIDovb%>1S`<(pyYzB(0
za+(jMN=)xh%VcZ&X6yQ%(Acp=+)*R6fuCjkXxwa|XFd3aY|ymRLVp+K?CS2&1?323
zjQ;K=!p$VTJ%I;qgEY^U&?x8}Jz*GJTDlq@ZXe`o-%g~Gh|1w?OprW;MU(S~kiz>6
z!(HVwc#7f(n|>E&7C5z`*H8k+2k~Ny!BmM0MaqFmUQasCo;@W3iF3c;IaX_ZhI|yN
zYRIXbrx>t-P!RE)0GF`RX(tKKO4AjTGnDbT`F?HX-jYyXyV@I5j%Vr+K}ObT*j^ZHTh2xgA~t$5SFmDHT_>@2Wy
z04)UE>o(_X>qaAl^UlP(5`;xo{60#t2r3lWutYTy7c&xI5yZ0$04%(Fe>$HlNI%=6
z4EZ}3IMwz0QLw4ZOT;ACQRt!}1YHvL-oE_KDah4E)a>1O25~5Jk_*qD
za{55prk~RJfpO4y{wo3Dw!_`?5(N@*Vv$JCUo+=WXKnsTM%?4>iP%
z019{m+<><&9z>-*HYD~MWkA#iX!5C$P1amXA=eVyW9bjEaAP0&tH-z-+w6RBtF+JF
zyU}w{iYVq%;|r)+U{M53V}U1#=h?>d%0;f>Y4~_@NcV4=TnkNi!C7kobZzIyu00>G
z?YVSq$yxUf?Pg32W<2KRC=COEPA12k*rR>(4-NB6q_ifIU#H!^yJ4!3^YH_y$9&j$
z-tNPKO{jdf;psrb4DiC?^z%LNDaBc#f=g(PMSO~{zTEt!{u6I*+Q%t3zr?9J%dO1K
zez|b-VU+OGUxgA)jyVaw*mP_dvxscbj^{dN1DnLTR`D(;TMIFoJoErsyAd4R2qGTs
zHDWnmYeB5Ru5q{8$vq(__h{?>GS?M+REqCW
zN}YSBb>W0BM=|y9(Ky#%`le>^O*JK~WJow9+bHdcJ*=~hRdTg)7_U45Z2$hsGaTJj00&PMDs;#k?r{6Xu^{CT>
z)T(+0=R{A+U99O4bUf#(0$7b2*L|vYv$S`!00eAz
zO{xRnzYbYfgLR`_VCQK!+YF^D2S|V779tXRv=@3~4bw|WDBk%GnHDmJ`sw6QOPMh1
zrD^nbvy&9InuLv6Ch4^Tvq@$jcfS4jvR)WDsZQN+F(dL6HYbt$xq3p-tE0JhIPPy8
zU)~;A>MIdx-q#3ddHpRyeO*}{aaRN98rc`4I@$1g@Iul^stO*
z$F&K75GAX|U0@wo7wxb@CB-
z~Wg$IM|
zNB;)gzBf@A9FQ<_Dkg~rV<-hU*zEc5#9pBYqr#cLdFgF%+MfJz|3~}sZYJ$Je=YEV
zn&uImz%sUCw`zIbe!2GL=aOEh(+Mf`xRC1SKOz0JZRqUdL#%eX$7T-;VNbednV0UFJaV^{(x=%VH4+`mSFm
z!J8~S8l(n>J6xT~FM4EJL}=-Xb_*Mwnp}TkVGLCRl0I^NKL!gDLH%j4EZ}eA-asUR
zIRFU3RrsWm-R2uGr5=J?FYy;wZ4Crti1gMu+Ql?j5IYeklmEm6N@7C>#`ZudjXl@#l0}|8
z*CO5;XKir?ys&t0O&+XM&_`LY0~MOi6kN&hIr-J6K6Q7xFPwxy9b($W8iqVtYQ
z>i_@vWe-7dAu1}4+?IO}aN@?1yFR$eT%nn{s*9rH#xyf6!;zUSOf%cy%F2vNOIu&e
zhLx6;l}&&A&f(m{Uz~d{oHzIVdOaVH7fw_-_3}?LAV2D^t^{OXT;IdsP;n~|)oO^@
zkcZ3F5o;b5on+^5yHQzi!*zSrxz(yuCxRXi68}*NBnVOh=q|1>40dT-
zgT;H6Om9=kW5wq*?E;^VGgd)AeY>CyKeDYZ*`~nku9i3jlsH}W(6sRl~2XXxXPhXYUtvhuDd57#5ZE^c?t;yg^AePy2zUHtOSws<$bn!T|aa&wn6
zP6);wU^kWn2R8jA6&2wI!2UrhZkj6Pme8Q_motv99<7{gD6ov!IQ8|zRJmj5_*(Y)
zg0J6Jv6GIn)}ZufC8M+(hNBsj%%5$bw&j&Zr_>9ALCt5SeLKCjArKDxsR-t<6RyN^
z$ivwXrW!EfEG~v{z|zfBy#27=X%R!LwAC}J98sDwH_jLk8LmR`ro)DR*jl`NO!F1h
zQL5WDr>hOb+Vl~p_TozuARmWN=qjOc*GFu?k(qE<&EzFvqEL0^q7HoZVU&m4s}lB)
z3yw)6x?N^<4qeY;wjR#@Y9Lxg_J4cmi{xfNzlfY2i@)K>C_
z^N;afWpeW3r4Mh-qHQ>TBxY;;hV>B?La|_aqJ3dP(`)y8YG}@2txnqCU$31ml!qLR
zI76cKj?nM7**X?1uHCO^`RGU!Du8A3ojNlY?jN3Me&tJ}Fh?lF9q#+8_CO)r$hpN_
zex$3SOMi>w?zG28>qnbhT5~g=Ud(#ieOGlb^M5yzFMganY{z;w9DgO~d77-u>ZmU){eDm`96?y|84{G=D-)sA1F{dBb%tUV+&2EH#V|BHF2!g2bI8uEDan
z1AT9gL>a%N!eos}p6Yv^Rh*#ZzYuNX%eXR`jhU9sLO2za#wvqPTXr|6t~QU75@n6X
zRl^e;^qY=+{CW>+Z~LwUsph;saUZ5eZ=dJUy#?qS+7+YchP~E&PoRpH?zd~~1G1PL
z%xy7BYx{u;%7OGJY#;WSoG)0@zMPfXGZCjlJkL44cxiApOkB*_H2CXRRR=jcDzJQF
z>P|mO>@MRzK;B0PwARih4CvAjHfCI%E~`KrUzuGW9p@YGgg*>)Se_0GPW&A{9b%_Z
zI~{h&L)p=<{mzu&U0jXw6_MkUjxyvVu(M7jX*R*M(*2>8%c^0o$VI{49D;zougap!
zt}dKAAxAbZ^JP5|)OE?ZHy1bW7@FUvn(3&zz?PGR6I2k=Kqx+Z&|>^>6aYch#`brdSyy?`FT{;$1%`ll%O1Y*BLlr?N
z6xNH1<$9)lw6-58wcKp-$TW~
zbOVryv66||;Z*MB0YP`!QtC*Kg#O{-z?(($z7tjWrO5xhHZNcB#UEV0c+g7ulI1e)
zSG_RR15@P#2z>?>qR;P3$(Sblgy_zFITjrCKN8^X13}$G2=y=_DQ0x2Cbft(WBYp+k{FZ(X8a
z-h}Fr#%y}~D&$vDG08$7x9|6BGkG3bOJOg9MwOaHK
zfQXYJ5Oe)zxa(~uJGLuPH_p6Cv4;X9mU*G#7@dl@#qw`(pUc%<5;B_>LjGr1-)X03
zB!95kvp(j1g-wp^3o+5eIHtb)sXTeUOma$7QsLsVZ1l4F+xY5kImEfi&i(7?ZXfw-
zn(7yx4~6zwb~713%FRZ}d0SxZne&PjhA@>RD%6?<>}*&YRU4v06|Hp?3aISY1qp1+
zqL+kyDN(g#Z??}f3R2ttmMP?eV!J&E!LdM|r+cxMmwVo^=21Nf@R*n91!d3Eqo*2c
zFY!zJk7mgH_o&etVQFSgpAb4c`FvJusgpz(-qfdqh=Ku_OhrnF)A`Ss-0BXEa;ldj
zPo*jsTu}QByf70>YI2oyQb+{y2RUeYWnhshsSm9otS
zqxWk=rm2~osXGfl5Fh-we7B;bW7D&b>i-+exPAPzuTENo&HBS@(LO@!y8&{8e6NkR
zOiV0YQlj!U4C55k(@s{<{2C?TJ@XmSJ1I@+Ny>HvET{-rLh>3=(!gRSa&`;hXmvIw
zeIry=AgoCw`^eaXH%Z?s66~_L3cQYZ+xI2kYK1QNQAqQ9ko0GJur35^^C)q6dk(TU0NL{#O7_6T4Q2WR+=za%a$oz7vZ8-E^egb4g+Cb26
zuk)DQuC&&Jbh+$QnPU&rdPh0oaz4bj@R^S4(qfql={bHM;GtE|6&es6A#q*0>c0r(
zuD$p1c@o(D8s-IXrM=F{t^<+gU%Sud!szRD`}s1_t?9k>e2+iB)E*x%IM@B)&3{G;
zd5+K*?K!wO4GJZyN(!c`%a#wl4;XUUa*Fi>=c#ajLxH`t{c&IuRe^ZwDO9l;fIf(1
zW6bAtLbh2n+QscG{NLLbUa4$Navz%Qq$8=K!<9^zl1kNgWNWe3Q2Hv3=ioF`l6}d)
z_spg}Jqv0gZn?ve`;`R~oyt#H#`f-2Lij(hm8}iMEM`@qtJBr5q@x^k1l%AQ1bM}r
zYOyG)&2LN8vUrGc*5?DJ1Bvj46qHLZ4X9(60B`BzQ0f+B$T^tiuc&etN!G4_hb80>
z{BqY>THUVEbZr;vJD>Vla-CZJdYATV{JD8e^{a3H+Kys^cJdT8UaajAK4QNMFz_0K
z`m~yR&_%>6YbVei(>bi-ZU`};cgvyolg^g1aNIk!OczTyR`Mt2ab^hv?rXNBK
z5k%Ri^5qKCp?E{SkAzrk4DzG&!%Mi#Atw#XjUk!PwU4s!XI~FgW2_dlB@zvVf
zY(=ESc#TRQa;7#>EFtqV~W=8raj9x>Ha54l~ra)1~>2%H-oqfA4VTL-q?AgcVTX@8xdI&67kw`Wfa3_
zVmq?1>y$cCPHGhQxcL{(2_+wwR4PO&-0%@fuLK?nC|c8$nc9kuG-d1d-2uYYi7d^2
z7Wsr&^PPp(@fBF+(rTGl^S^uJOS+n$Ewab6US9S_@qvXWFHPSMYd?kV5MUHei`1~%
z_!q2SjvdG$kSvjyY%?WRi{P{VNLNrMI{{uGTs`m_R%vWYy=Sd=Q^%W+2oP%PZQl?J
z!fk0F#O+pql
z(G)AqG(5~w;GVdRCXZ#UlKL%Z_t4t4a3&T148k*2+A?X-}|9d`amj
z(h}_a=qI)n@3O1zA@2Qb?8bt{cM^RG@c;F9_Ixq<@etlxa~-;bu=237O~fVm{O70cHE|>(*;mR3wf0q>wA%LdVCBmmCo32lGx+qzpPlz!Hnf;(o%7E
zTe~%_0A>9^WRj4yG_ME}^qx?SCGDiEBGt?7S`uw&@v4LZR3_#Tgeerj
zbD7HDnJC+M4<@=;Xtk!Mxhp?Sy!Cr%(WbfHby-7He5@wSqgQlrJvb}tyb)sd|S!7pxq-Zd*Q=}9liL6Za3VyhnD*3PiQTfvstwp81
zWRsXe`8N>t3CSvXBVzq(ySm>iqHVl5N#8`!iSIsG|;wQW}Uc
z4Xf)5h0BrrOP&5&XF4)WUst&XeAsDg`N|pr)9U+Kc7cj|LxAS_
zc`xnS=#hIGFW9u)0UxJbP;3@tkPT0ukrUe0RyPsPx63QcmLAMM9J}TMur=4uir_Iq
zbysgYS^|ERt#!U#?Yy>nB}D598X{I}gzn8iJ$`Z+{<}N!gKD5n7^CeBuonjlQNQ$|mejP(z1qcbEtqSd^
zmd3+l1*cVhxJUrf
zU!P5S+rXv&wp%Q7+7!!O9A6H29g6+bsj>m>ZmpODsSk{~xLaGzRT;*oZoVrz{`$vp
zv;6MY^O2Vz8bkA%x7m@$oYD(tPN3E_T`#2HBeJUwV$(KRRx#k3Ox!@c=FmJ!e>>U%
zkUb(gz3o%-0Z}rc7`=5M?%kE^$IbPslXpcm!U~w`6EyNfySiA7lXg<(vzqCo1D)=E
zG+wAQ6$!ynA(|BEpis^(9_k9-+P3HX?#G$-h`}=tT*tn+t*puchj!u9!Rj(MdVQq)Lco0X%n{nQZHy%
zc{ZX{z?*tlEtG?a|KF
z*A9HNzLK~+b3q?jEEBA(mZZ)
z4jRKJtxA%th0p+PMN8qi2N@%s8OIJUlP=Bfv9s-eF7t_Zk!YrA@95OtuaKV+QJ&L@
zu9O&8G0_|$D&Pgmy$wxmGx?DhnqPk-HN`%~F9f8_mJ%oAE?qp{4vF}M0;#AdiE4|8
zup*RO6e{3EWSxAKp67}YBE^?{nDt0-0srzyM2bwazfr=$!_hl;N1yZw-Wl>~-a0Dh
z<`e8^=jBgV?OKr)VJhf%5E5B9Z%jpk+LCo2iqrMSpL#im41C&?we6%g&YhC1Q66`Bm_^OaTjXmkJ#TV$ti=~kD_h{evfY7J(LR^<&08+0M$lx{bR%J~@Z(P}-;z|z
z8cZ%HRvzE~>-hg_jX`(Wr00wT3KN7S07!2DsY8JmCsmwW|8so*7-1A6FPyhD{e9o<
z-|PMV-re|jazFgnj99q{`V1fg?tyTOJc-xLDWk#RicG`b@J{zqoECR=h-;B3SEXi`
zt2f-&IZ;n?D0Z$G)uHQ|#$GO3$5?ew9`cNFyp;b?-~Wj7t|z01za-sl4$A%RoVwZ*
zYT$K1$>{u-ZSoynTY>^BMlll`{Bt?cmR-h^?WSo5%$%&w-08Qto1p9$sy9J)K#OQ9
zfiVs{9!yO)Kkz^iG~9rG!mC?hR>ApE*7IFa2lN7MLEv5e!c8xYBfEV)%4-SQxFh>n
zZ{j>?Yz*0QXdm8baA{7}diIgz*D&I-ocR$Dq}W5z2A<9m(D~Ar*ORTf7x%Wib4jri
zECCQ}x4iu9O5wV!tFyF@3q|FA(H=p_aB_~Dx1$IY4KiI=@3z6+jwR0v!>Ou(x)@R<
zTQfs1+)q9JctlCYna%6OXqR?`B169RASFb0+wqw)>zVMGuuVS)9)(F0kZ@9{xdU+s_0K^sa#oV)
zFx_#LQG&A>;CtZrAI()e)Z0hg+A_Dr9EyYG5dg%7$#*m;rV$iosji)PlYY6BQnGQ@
zv$IM+X=!eIN9D#RZ&9xhiniDD&FX0CGhX-mVj
zQ+->j%>3YG@bw2LT>uNOp;)r-MkWdI*-XBP79V}Z<`479#l=+LNLe0saBjy*WhO06
zvL&(%H=A{6Yo@A@Cju~NYKfK)nlU_VO<~Z|h=NBg*@a(jJx8c{`gmKvZtTb4I4S47
z(EluNXWucai_}aFs%EspIfh{{FRkf|$i3tu76doVP%JK3&#xMYGdTIHX>iVUIhFJ9
zCH6yKxK?XZl-kGMM`720tsqGb+^EE2dwIx`VtC$6dR2TllEdvkKgOSC{O_8zuZ=eT
z<3)*Pbf|ZWeACV*8oV90#kr;Xa6U=o|K|GNN;|fuOMt8TUHO2s>UUwFxE$5$vqIC_
zORiski&mTvAYnvLb2dWOlgD0?%{u`RlNT+s9U6qdh*HZakA`@1sk-RP{~XkIb?MG-
zgD9_%9~?sxyTB^V0k;()sh0p9LCKMiu6jB5re5z2S-5-sdCs9Ny5+>%H>08^%LjA97aKOZ!vYD{xccMi!XCbQ~4E)XKJp$hc(
zI}hk}bZz)n4p-r5%Lbs`m7^?0ZO&4Y(;fGxQ7g8l44Uy!_A5W*p^2!iGW7$eljC&u
zbRT4IhdZ_2RjiY0Gjlp|e~0h3nF0{C35j&m4QVSl2|b56J0F`O((;r8hb>i?^7wrfMWXg#FDSAjau)wfV1DuS%H0znOF6T5k6
zRIU{rw%eqBa5`4HeqQu;e{hge@G6w-aO+rHcBlR48RIKBTatTUp|d29u>DT_0uP3~=do#%cO(gcY=e
zx(fobkdW%n7;D}FafVQCpP5yYBtBg=cqs^PO+(j1hU;{6J>kX?>WRa<&Q=xAsb5OD
z8c-yMlxYSqLq7njP*)x8p_{4DGT>p{7)yS3Kd}ALgp30{4b^4(c%!=Fe|;RRqgYR~
z8Q>U9a?`h(469rAl_Xn0OkM9k`Q7tv_5|X1gusyyT$swYO!m#DzOF?SFriQ4-V%DK
z!-QS^tyl^b&iVqhX$q|BLTsdxNhD>6QX5QAAs<_h;%FB5s^bT?!Bfrv$UM9AAw3PS
z?Bk~je6yPs0N4`Mfqi(_U)v+hlUAq`sRURWyL
z3H2Io-duHVcuZMSG7t9`r~9|KbL@Jcibb?{O*RWxW&rPjdB%
zmwQYTM%U3kti_&j=}yK8u5&Cl?Id7R_#|jxV;D-`I2aMa9mpH&v~#MkS_;o&V|w_!=gm>iXrp0iPR&>Kk|)}mRkE&MV1c$9qIri4TLibi-(IuG6SH$o2UE!^
zd7`wfdUK(t`bQVyLZ`C-`>5SqqpG1bRe^+3`|Ed8IYgcis+R&IbFLxnCx8$^NPlL6
zSTl@^Q|@jSj?Y$Se0EN4OU%eco0=nhQeI*$K-vw^ks03En_40JE&aoHzqHMZsi@JI
z;ZS
zxwW(BH!F+}u$!xZJNY6OkGF2&BIc4P2
zaKPdzW?
zJ&qhIRb#{>8vhf?BOltwmfb45_U%jyzq1vqWC53D0XW<3kWH0`5{p_K^4#lopALq<
z8-Iv@(EcwcKO2b=C97iKdfBm=GE0yBoJ-%^689I<)3^}>+k#(lG)CD9dCeo_k7svi
z0rT_CgfZeEBW7~E@K5((M72g8Wj9K+wKasM%>qkQC47Q0q5X~By-f<$%=JH?Zmj><
z36(Ar>ptMW9}q3^Iy8q3p@I;sA?%VBh%jU;8nU$jm<0iLbrtfujP2&Z)z`*hH0>3A5`|vei9{INiz*i*qM_C{}uNE+=H!
z&BHPX=t~l8KSkzIM<9$LNzj9bVP#p=((Dh?S|cG4@48&+OOgdEP}9_}elDppH)S=nc}
zUS$KMSq`YeLd#^8%UoxfsV73xQPr`eY9lWV8XJdBM=8BEw?a6R2<|7tyo-
z@X-E!L&yPw%twF+!SIezWpr3|KNrh?PwdBBs{0vLti^*tSOzc_k|Rix*~Qj0ELOi&
zzrMX#)g1C@oQM4h3Fo8Is1>r8c(1hK6%S$Co9)jVHuO#GJDqE9SJB{*U*>SD!Nq~*
z_Ri$Smj;iYCPDIzKJRS2@*C;-jhh9H{lzawFW)ttKvAg!6gFtGFxwaiTBG#-oOy-xrDyWkoyecp9%3F338ta
zm|96PnE?mQE2QiyStHFeAYD9#{$iVnONBFgmVn$TgGTUI91}
zOLm+I?YspE0%Vt|av#L_msGhGCT_I*fSw@ZVpRN=A4e~($(MZ3^w7>VM{2t-(qk9e
zRJYqGBlm8cH(>w>TPo&`z09N-cXb8FK*RXv2`_w*iI+@%evdhDq3XD888^v2>^zjW
z0=4GXvSv}W4lpxbzGF84r_{BbtmICtLqGz?!Ky`<39S{QYbCPZ2r?~vjEEukk&kKx
z(8?6ZW*e#X5eAKdxk&0AnY%2haQ&6uW;zrmMj3#BJ^?n1h03jT-Znbhm2zs1DOb-!
zOI66{XJojWbia6$p_BwFfjX5StDr6*9G6Vb
zc07UoP;>Zp=GVbC-O%chp^&4t)i?6uw=+=}R&f3NW7@4UF@(}{Vwoayv=_uww|M6v
zI0u!Zu;)n$W?TQ_O*{3^u#Z0Z^#Z7>-{DOZ=*gDDh4cAloSz
z__gO$4GTSMF87|lj(y0NeNV-m$D&otA>|UBRP#CxVpCXy&Dm(J6-@@i0+rZJw@$XY26H;l;n!sMs$jDJw#)@ibB6#D|PLYlDyf9RN7EtkDLHw0od*V1NrxEryS7bbaSuOZK&IQ%2cK!PdiJ@JtNK%k3WWI?k>NWA-+dJwT
zqHWl;)5B0P=^?9#Dl-6LatNqACMHV&i{&GSozM|HMPVpBWCgi%1@=i)>Y1Xe8k*9l
zaE<$eA=|Q#zRUj5XV_*I)J`D%cc}ef56j7e>iG;9hf`t|>fV}EmeAo#AIgaY8CV<=
zvjZw^_O=K+tbWP13UAc&Q7RNjIf&~cT)4=@-CX&97xgU(?jo>`dtr`Uv%$`oV=Jq<
z`a;N*9sp%Z@xx9{+^`78RpoD%u+Zg_%~8T~TZ2nqWAIOz=l%#~t)88eAwX2wBiG@V
zE&`|&cXcg3<*CAG#f8fXttRV_+Ugp^{Flx*T^LvWF-1KLKg`GV3QEyuC-Z#nlMniW^Zni9L>&}uu#fy6~1&BR2
zQAw2XKmB`(_?W{0mdb=5)xXj_J*8+9qLQ?8r=y~54V{388*GO^FN85bNEk0M=KTFl
zkMDOkSGbjM59fh~Sg?xOS;e{#eFb;32yOm+6P@B&&XVb5AUi>94F#5LeoBvpmYTY&
z2r@f9O!T=xVN@8uK_oPteEPinaTfTun5VTed>4be2+9ZnT$Nb#_j1Nm=iL;stQ1W+
z#z;GRUn&SWp_N6^JV7Mpq$G%liXH1pvfr6`84^(xytL+4FLM?KH}$5#GpWegiwHl-
z!9pK&uQ}>RI{f!wAADcY%HXJMOl&S0Zof^{%^Yqi*}(Y>GiXcH?}C|ut%eks>d{RV
zr=MG&uGAI7%mfRXlm5ScAR8nP%J~=}AGh%+x+)5G>{j`FVe1=zoW
z-VZ|L`1?biOecPoXCNDdLm}}Z@Si7F68t<<9c|-A<70Ui8^MSm#`q@LxkOB$(+kCIy3bNK7GZM7a
zDnO4X-+2}|vL6v8CqAw#J3;rGkg@(zN1MtUAwD#=#|cEeJj_OczSeD=V`F9R?3U#W#VT74;YdK$kE
zB=ev)0=;-0ePQXBKNqJHG>L{
z?q{0nM8X5zmDrbrb&MjzXXxr9rTcFe{~4E!D&S4Z3Z9f&-_P1sH+R;FGso>qJ)v}`
zHN+r0pND;rZpPtxm@zct?q2)GFlM0&tOl(`R|Sb)^(H8Efxx?U4!LZ%bjf*&N&~X)aw<
z(EmY)9NWZBxYJ5>C(O%a&IXFk2Z?7(%#j@c!kyCe^u#6h9c|f6
zJ(+|t_Cg=fwJ7VlRX;L`v$v{#HWAi&52r7?A*K;s;oU%H;y?-&z>$u$5|krZ1r9yVwza6E0$mS>$sEs=39Sn+JN98MW)HGF1lAQO<1bb#(%QHn+d
z7N-Jo&iwg$A3r|37;vRYAhH1kA*WhRDQp>2ZZs=Dz(iePMsg9}c4*T0m~Rrjyo@?LGw*{d;TRvC}x6uhh*dgaV=Qs?w$
z)E=BtHVeOE^kVJxA-lD;Mkl>$s~T(=#>gGB`KP!`(G@h;N%KCZpYFWw+0Zt5p$B0{
zzP2iR!qhdsT;s{--vq1q?!Huhxz^rA(OBE|$L-|ORP`e9Q_L!m@VX{7h5g@Y`e|yh
z*0cPZc+|K!Ni$RO0E9`S`fp58`jii+F^>kA#pud9@PF07$??OMuGHk#SnsG#wKzKW
z!`Q!7t`};De>fIG;KpgPWt{mE4$3e5!OL2Eu28<2>Rmow0G>{0-%4$6NJm3r^-$ARiLXunBGcd5J+_R12>6knroPcqYOXMYj!Zy
z1J7jI*qpjsh8=3r?s(+Uy7FwBUDI$&ny}mB-1Bj4^Ml%Tb?bIqLR>ud$;o2Hff7zY
zJVdD^rB=R(57%S5E2pwX6!S}4K3`oay{tyY1#+!Nk7ilcn5dzjrkuX@`6je!0cD?%
z#f{~aXf4m)LkED(YEfx9+I>{jB=M$JdqCv_$xANR@<11hsrs3L#EtXuySW`utswwK
zlw1u~z#$q)Ug}RI@O27Ju2bxR*O9NX4UqUXa1k4&kD@L~y7D$d2zyxvdaD3KN?xf%
z80#w|aD2E02!T=<#gLqeEmZcgN*z9G??5MN+1^KPF<#C-fWJRkeAD$v7G6rbOIfXQ
zsM5rFj5RBOHSZTi5PFM22by_J&c9QSZ2!d_8xAoaq0jk~(BdUJK~i@m&p|(fi8q5JVN=YOVE*gZ~t?6~G`J_5j*^{s#m_^3YndN0DFY
zHDGbjh7O9iOQS^@Hk`TVSim?fVZO$zNJn*!HEzaW)Fi~gROTkeZTuXhzRZz=nIVKZ
z7OZ3%@^MesURRwT^G`^l=L7_p4k4b#N1Z>*o%R3k2
z(akc!yS5C^Aj=+WOp_F6wveAFr8$qD&2V&7Ushs=M=(k)Ek!6}y?OpAzhUB8Ua0$u
z2<@G+S)bZRKHE2bMHRm@=v11Af#I3R9iE8~i~QWt$-0~w)v}P^l_BEt9FS`v5d#U%d({x04(uiEd;dpHXW6(%6!%#*yufO
zP#q$S6)P8JEFNW^E0+1ddFYi-(7y0awQ-?|>yvtFE9k2e&fjkSjVU)drZd**HO!DxJS?N0
z!N&#}zTCHY+^gb{FyW!vp6%akuV>VB(%>hv%#};cgxYE;cb>jD!aZqBqG2*wC5E2u
zWoDitbnXaT^}2u@b?Ra}PPz4e!p`T*vVJ0`WWn_GSLSw~UqfDdb+N`K8}yEhocv2*
z*hqAUTsnsqeYOH2b(pw!h)&_wCg^#gkj5dH=QAPK_fY|Qdq77bi{)*3o4+AZFd~0!
zu}l+SBR7(D)xnez8zMW(C4Hfwo+;EGm2cj#g9&dnM4A_8$!rHpn)Q6s5Jin3uvVS0
zo=!aT$23SbJLT5)FR?J-$2|V}g9Q*LTs}1WlKLXstNt%g{@r_fT&k5ya9t*=FlaIE
zUFDuqly_imU+crxmyPeo1|3OmE~%k6%&?~)aBTO@mo1^$vwo6K>YLMo*RM`3IHrhA)C^vPxwL3I;U
zAs0r?CTtIV%;~HGVKJ)>^`w4iLlMeQpC566#k|u=f|#GJul8EJq-JA3Y6F7MxM!}!
zsh%=jbS`>loYa%Nm~258m!*T9q{P17O3Mc&K4UsW!wKI|vZP$y{y6m8zV%}%3paOJ
zH)_KkaOCADAaZ#FF!C$D&)?Y_)Iqx5Vxv@Uc%QZ3JN7JFr|FkD`4*#P)IzT0i(*OT
zWyFWpkM4ry1CH?D1B@%eAlOO02~Ly{86dpS*HEL!FE(I6T`8Q#%TNPhV*rSVy8}T`
z*xHK_iea&qy)3Q^4?T6Z^cT*mz?P!d2~W38F=^Rv+%zcGRE$FHGb}R>0TF}~>^0C0
ztC6j%VZR9Rtkil|Y4KS8lwX31>_laH7Kmelx8i~7C~zSf#0db@tQlIycfGkWfAVL9=`Kq_1C_=GW&mYXkt>0zd%GP;(HmqCk6k
z#$DY^mY~VB+^BG%y8V)1I8kk4qWV~Z@W1@Cs6V)93xPmhZsp5>R!dLG`JQRYrWcEb
zOq}<%PQ1+;B4bf$D6BZD9UtAQ^EMBvJ6mkGsDv^EptAs!0;K7Igea(CYKM2bQKkE!
z2V3n)ir215<*1~=$kWyGEp@uqO?xaLtfA6Yo|Qut?-T`c@3&Mts#TOt-ZbcJ?O^@LzKntmJv%V^-|#6vzw2Re1pd-b>*
z8=HbgU58c_@TV}oIkr3P;y0;h7JuKi_N53|03Uovggv69eyf
zE;jty(o=!;KIwc;k6Ua6!jc(CcM@!%Wcy`kYQ>bVP2Xf2R2RKc>W8R;Ao+CSo?Ym!ve^ox;=45S2^yt
z15O#mzPr+8eXi<@*Z-F8YG9}Q4&OfcY?ECSykDJT0Xi-7l$LqpkpzUL_}rE|94AuA
zK)C<%GeDi8V-iJ^xoX%k;Ml(I?DK=a(La%@Tp&iul>3TWU7iKaM<9qq0vmS77mWE*L%N>^3eSJRFuW(*kdLRS>9l;l5v(5BYTi+0!rU&)w&Z+MlP}<2OXSZ1kG}{oT2U
zWOIc7`Ar)M_xcuK0VH?`sPp@B#Ih+UH7#i{Xbb$7q)z|r=U2Aweu!AQg?ehF7vMae
zCNo2W$Y(&5&D31KJ(Qi%bhnv?-t}3>F|zVe8F}S&IWASNPvT1RuOY6K_ib9t^>K0z~j|2GWiY#=3iV@Z>qWMZ{Zv
z(9j1CZ5AZV2C0&YO{4>HxzL9s?-N~jH1XOW*cYjzDk@p{C
z@M6sr2<$EcRF;vREAAvJzd?ggQ7+X875$0ABc?+UbAJsrz4ng${WDob30Z%2l|%)l
zg%JoJR6v9Gl|i>52%b8}%h=)|otnl)umDuJ;34Mn^WUP<>?f!!7WC(d?@x3x?0owqcAi-*pnqf(LUJ
zme|j-4fxOnPDvyQKGYzchfwn4aQDR%5dLTv(WTW$cl?fr-9q
z6FYP@QrPkbt(2t0fwTFk@4}{P7$Mh~z`+B5a~NKDwjEu?lAyAORep$PB||OoGpytpLRo+A&IL{Sl@DYMYm&I)+|nhszAw(eo@{&L9)?le1P
zOZjVx0r!$r7oEk@bGQRq^2_%M$}=dg0HoX*7uEdy#=|P0f35jt@2#n_
ziuGn~EDFkj!S3k3cWreW{G_CdQtV$^<)i+0snkOkrNehG
zA@MTA{pob%UJ!-k#YO&g2(CV6H3`}PQX?U|AC2iUp`xp7PgI2!_o|&dymgj=dxwuW
zXB5+Z^!5kGC&3$^Qgng>`lQv>j({~p48PQCy{$BQ0$~I|4Ou6*HtV>X<3CdT17@Lv
zFrC}A--+f|TH_N8LGTWvx^s)md
z%N8M0`wgN*1IA#WGDvVd0RoTSwq4BL=a2l9g=89*1@~MFF)T|mFPk?h`^&zr2Eeyd
zOOu#D9JkbJvKe<}nnZ$p`B?%H^A!x)I4-16+7~(s_$;Ebsn8+;$^hVba^<-%P~DbD
z7@d=ug5pFhMrv$rUE}($lx6mmEsh{GCeBxF-DvE#;MVXTnsC}5;LrE6bs4SLjx
z7(Xk*H)$rtpN2j&*NIx>_^(fthN2PiX!y0h)*l;ScHB+84ktT)&@uy>T&?`U?B2<_
zp2abt)AzHN;eL-+4o)#%pUMpU*-YLM?IvpuNlQEmFAqitm~u0kR4R183qv-Hn?{9Q
zH+zN)LG3zOZnzidfrLhbYfjgX?ht>I6~|EJ<6GPGm(S
zash+ptm~x=1p-9g5JE5nD>Xn^eS(1xFGEo7We=y$!V8Cx(WQ&o53H!@vOkxW!Mn?4
zZ*E+X`s7(qOj$|l3bOhsI&^Ze_`t#&v#ZxuXL_Pj-<>gh@yhzWeo*s1C6g4tkM^=3
zyE6mWP(uORe0`|IX%W6H>Qx+CD$#@m2%pf_wg%kN31F3&fOocx?mVacstZ09@9|JZ
ziOF@RI>@c4?j3;JR!euUI11FK*(!^|_E>z)7T$~Le(V1luogpn@zc0w4l||Xb|wQZ
z40a#YvK+vFMzn6=ZmxiO(#&WEV1Vku7{#>^X5URRSbZ
z5r1f;Gv+kRSwbV{(B>@42uak49Fj%|Q9C%N
z9C9kukWxv`sZ<-vA;~F8(&$7-O48}=x6k+Y&u;twy4|kV>v|sU54$hESshpSjqsgc
zzIMvJB%Gq2D%N=Wcuh&NZ}Dmaz|;5V87x6Itpj|C%h73C9Na4_&jK%eh3)IlV0OY#
z^uzjb(6>y;H6Ol_FMnf1&1atMkFh(y(D|pv>gmK}aAV);ukO`_qf(^m?0yy^8p@q4bOwpI;!8IMhYxrOpn$<8g&f1r8D=
z3xK5z1E%yg$%}yPpB1i-ltLdFPZikz;rs&gPKtpocXLpvTp-#=aPD?ve&h3*-RB>C
z-yJQx+>oN}G#2W6su^0LvIMnR?}P;tG6M*RfNZFx|5v?&ZKa7kZGXsxP5br;`2qd#
ztqVYT$`;+R_K0}Ckv4=Q&=`?o@O-bz8pu3gm2lxzmZ{mj1CBhoLZ8(7SWTB)g{{0^
z*HEp2A|1~f#}Mz(d`Zc1m9`jnV5r>0lD$Un7HOp26p9=&@bY}3n)5{Y70Ku)R?E2{
zTR%bn>1F0MXO&pFk2{HK^tF2BzTftnBMM`GU
zi`CaUuu}Sm#BFm|%VFs*pbVW(4f!}fSSlA@PE&`zCF)4`j6zWaie;eQR_$sQgjlx2
zIkaD>-op*4m1VD&kGu=edQKjUK1d2q{DjxvSLBoY&2sSF@P&NrFXP)TdE~nNPo!lu
zN=`xU#eFxZyATY5&zQjf_)LfFa{_M%;pmR
z5OlL|0$x0j*bgW{b548^))W*XBOXTAOTSwEX^
z5k5XN);9#!Yq@+HWhaw$CfYgHxjQ;4u9Osg=s2~aqB*woZE?^;4uAqt9B_AvOhA40
zZa=xVJCoJ}M(W{-JKVY<4YwTO(G-7XkJi9UjSGU!ktErl(L1|+t2i)VCf1nI7Z`8c
zeOo4Rbo;ZK>tnI+RgwwGJ_QMjk+OwHRX-4OX-|f-qK&9D5mM*eQZP)CbsAqF=hG?d
z;c(e9x!O&7-%sibuq_$NOnPCje4vd8seYDK4|60XlsU>U{Y8B3!=KoPT<{q;UnZzs
zPuiF$`{3M?oAHKSGTY6&i)-Dlf9|h^V~ZulEytAoPpsb;N7|p+9%Sx|NU@yTKd>`0
ztoyVQrM+cn^B%-gsG83b;8Q<3)B5Bjqg{z;-L`V>uu0SS6T5nUHpX^o7V;%o
zx$7SE%Gm2q%bP^|u4$>dT5ManaiiBJ0t
z%#tK((Mzv7ojw^b_p04IUBn{?(~rZ{uF}5`Qu!XsFtYzA0+M34G-sfeaU>~8&d;OT
zN$>a+%V~bSq<*#$xK`EiSurSHbBguxi^enJPmbd$nfntxrxnY^9wzLI{CwNtkNfdP
zWJm25cX!F;tt1@n)!m=v9itA27bo@|{}~v!;r&^)2=TwwH)Z$}JFM;=zW48a?F~7k
z{8G~W_4V~lX{#T{N{1{U)x_&aXXOh}ndbZ>7ljai$<}Z$n2nW?TQ`Ap?2@V7JCF4|
zU(o91?Cz1}b-x_#tYJGjw?R;-MB-%;KDS&TAbL0&D1d6ak#hB?(u_TlE>
z4)t$^#H!qe^g<1V!I%YfkZJZD!a@s7bU^Xd;;6SH7+_AevOSs5jCSu7qy6gbWw(WE
zXjO)5>V;HaCz!j)n&n9NTAq{|QK01fo
z7&$OC^0w$)?-_(Cn~Ua{6bmZp@S*pjKLeMJT}eN)Zj{W$^dgFBC=kmcfS5PYXKv4E
zZ(4TTIv+6xAtg=d;QPi1HW;;KN{B!NBmXYA
z;G#HArX$RBK8uTXu(X%2`hlmS)KT+xx4^TwjJq7{=?GJ6a_=16*AnO?H@EdHlTMoZtRRaM?{GT
zetIn+0j-`CrfVet>jR38H50GtTRb1|&lTef0T6}&K*HZ@BE6oD7)DRt*&7GJluu|s
z)f!N`_^n8daPHtcQ$N*6gszr&2o@?nk-?0`~N?oN-|eKahbd=VYjMEWvu*
zR&d9sxUG$@aP7aX=-rNGI6d_-_a-1n#e_J+dHek9@m=|yJ<%2kO5O9e4G8D6kJT5N
zU7bI?CXxL2;r`3M+dtb5Kl!vSbj#URW4&6{WeM2u&Nx45NRy;K^o3K7r&>!CT<1rXeu@s{r%%{9*pk&R%}&T9w(%eJ26`fNaZ;{XUFKW<9W
z5b3T60pv(IXjboR5y06O-MB4%v;IKX`oP9(@;Rqi;(tbW1O3C=MX_xGi2RS}pCg%T
zS?#-7jru0W>G~1bj>u*%E>nEKJQ0+=I>J}3=fHitG)UzH9+5f^rLC!B_`-DM4!R|G
z%|(5py;0Xl9eyUpqV9e`;SH0PvAx@W?MtdeU9PI6eXqHxBXiBaiUQ)DzU^0g*_q?z
zQ6Max+0}BVSC*2(4s}QGG;dx$3}+SOBz5x1XBS|GoX?qrc$1xnEaT4YSbVhYGz%A4
zz8xbLK;M)cxPPvVhLo&Hz>l+>Wis|0h+&J4@SIc#k2{PyxOhFLZY&u-wW
zzR7;T*0-A4|8A=6usz(;JZZh$GwHRGPiOnp#OXc-ZmXY+{FLS9v^#PC9eh;d6e3&1
zan$#pb12a4Ns}xdYwN{2#(aVFUl*te6-QBl%m$Z5|=;cC%
zXKZKONDnrGVDc`5l!y(TC87Q#lF@{d<)
zO4Rs-Q8R>tdo}Qhr;Jt54@LWq+`x8wQISgKn69
zNxQk>ib#sN`#MBSRqeH7PtdI*(srR
zgQNz^!-?IMbI6y@;w}fhatd`>DcMCOdg9wSlMfI+q160-`e_3=XnMhDH)r|cOMhd!
z@rZ+&LHB%u_n%bnO}%{cJQ204XA9PTSlkN%c$-6odO(jZ6Vw;mYjVormONFDZu|#^
zfx%7~fniRqHl|4GC3KTid&B}qGpQ$kVQiyFh@#S^IGk)J09DK}JXP|6@f2w(R9|vf
zw_f2$2v6ew5KJCaf=d>2?H2fVtU!IA|5XJbz=ch7<&Z^xrP(5B7ATWP7e}7|uHM&c
zQwh5SD?T+2RrRpEyIp7O5jO3@i(;2XD$IrPOfCVUL+2j4j>D>_6WiQ%=qLYPfhaD4
z1`1sK8x7T7(OZ^C&XRlXkSj3F(Ps0s7P$B(S?juNM`optHMP;drrUMs=_m}n;JMzP
zlix4AW+;bpu0fTuVl6qwj(97ZvFP|Q-BVoi`ksvj4mKkYY^u!A0?UK~u_VlBMQ^j9
zK#iCTGX-c-5>(PI(qeL<3nH^Ty0SzJ1^A!{19U^N{++|k|~HUIUwLNGjVA5JwRLo;0Kx#?hkk+Gub
zfxa%nkX~cKbb83A>>53LS+XAYxB}O9ZYL3@x$RVT)!7|$KH2)5Iuiqk`V?I^kcV+~
zr^NGG0fus9-Ml~On!%%RL}ihR(8P4F!3n9y+1sVwy3${LO;=i;;CNnt;+t26GYz7krINhv**CQ9+`BZb4R|ks)Ipxk1qY&c*n1Mk1g&Ilx_3Mjc*5C5s<#PasqlguT7lqz-0w@g*
z7R8ws7kiXKx5s>%Q@3*XX4PZY1l@snr7m;fR7r_W7|DY8c3)z^wl1HEV#;zmW55StkrcGW}(T9L$`i#I=X|W
zN_8+$a4;xln479bQo6O09Psvi^k#KaB+CGy
zUchZYWrm>}%9FJP9e?bUVQagnq!YD3wIR_a7GJeMq(}!z{t)c~P-RU-rMsT{w@Q9T2S-)#Qs-@e<^0gbUOsMz5Gf4$
zV>zxKO4kxY^xGH)z1@2KLM1^r+}gg&y4$dqr%HjyH!x_uyfsUnaRHjD0HrN(^Zmwl
z`vQ;^E&!v47LTnrrj=9;D_!#EJTl#Ou0M#D6mA?iYt~=Z@KT{p_Eg?&k4LvZJ?f5r
zRKp=L=P&w|p2@&X$T@nLRbdTZ*Kx1T#P6zqh;ytgmD2-nw9u(dpmGF+L}kdZ7!H=A
z33M;1ElMtW$DCfVz9Uq-7gX{QWlcaf4uJ;14zh}4WJ2ZfC9cj8s0MI}dg6$LvP)(!
zvqLV#d8p<3ee8WR+A#?{ItQTFoZ$0%`=`s{0!Dt!n5*3+
z90(_7-CspRPFRms_`0ld_?!OM<+13;H4AYo(i6TLQv=R!9(*4pbA5)APGWOO04P(=
zf%*fOeuk>)Areg_Ehy#M_x5>lkHgA%dm)W-_h$g@UkCLl6EcYH%SrSGzk8Vu>
zxxeYM>_Xl<9!;1<3xp_PxhnoVrO>x@7&Yb>sO{gKv4HFo4W~}OH`@Gm_3a_ky)JRo
zq3^RO*t6)<0>InNDPPtodIhD?bMDO05R%E59L1J&(GYL2j%PB8{(7uCZA6r&1IS*X
z^I=mgVEV*A-gP{0hkik=-4~rY-6i3-mG0uNZ%)?@5LdVFP6}uT
ze7DmEEyU7@=LHd7-;QXH^}+-44)~}~#P=vQxFJsuotg0PVRKZe
z+`)#S;lDyxFvm(4fpXFTsqstv3vf9W){e`4sJUKHCzWdkrBhY12N-!LB_xv-KA|z&izT$*#xj
zM-{G7xY8Pu{&R7~>X5YOGlHY<5jh&;h-dTq<~^};YT!#}a1tU*7Eh{8bW48%s93)F
zo9@&ld;KMQLmQNOQoZue586XKgY<3#lr%%D%5U~9ao4MoIq9DXer=@-hJS8q`~B*z
z-?bx}FJZ*(uqBqM)^@a=K3WIxsZ>_k5XxgIYJX=4)2Qhd-<-wY0_@4&=!UM}^&~=E
zD)|7Q51jKz^63Q>R2f;@KN0`B0g@g_M11r6H6J!W3FKR5JD4?q4f&F;NVi73!-^Pc
z<6*BXO!0Hg9W+W-8U$!s4m4SZuD&fan1e}DZm5@4hjktYuPs%@w7Xw$3Gr9gdZWxZ
z!75GdXvCqTKHQLSE^Y*jm;bTe+Xs>akB&Qw-eEyXy1m{AvbBf3aMBxni`J+i(>7tWhY>q}e&C{HbSRYD?*xx8o9RezpXXgd
zA`NV(J)*|vM=qOCqI^#Jej-=KoarzOAxND!E-;OJm~AZREd-72>3ZCn?(FmNQu5|Q
zCJxHSRM#IQY;?$j)%3p?>$Uqe=6?kFAV
zBD%cI9dEv+T6R*ppDM4vU679YZQPmZA!emxotwiiq^;bFR!boVn`n_-KZq_uysaDR
zuq*WS5Z&7buFh)5db#^`&Zo+}RY^cBhN&KUNM)qsJ+j3Gp_5C9@Fl>;1D+H@9wWp?!eFP@pggqW5*-jBl;!+-4E)nC
zBvdwKsp^WKyLb;yP9ZNu<*EaO!_(Y8ZkemX=jyB-uMPQ9mGy{|SlA;$X2L2%yVT8q
zV-9__4cb`E&y@WZ$WOHy>q~rDciQFXvEIfzpCcwtKm2x}>*vGe(D;1YKeN}K-2IBU
zRD*_Bi^2T=zOmPWfuJc?w(bY_B!;ry9Na!yCsn5;++H!1pn0{E=b&aZ7uFjHNnY7pFjaMSsCLYLR<`LtEVmjZcjlv_sLY!OV_a*YMkkP*Sl>s3aBAsA;?idNC>
zzcPNtReEQ1FsGZdD1kc;y1|Gn$v|w(OtK4JVOop(6?A=x#9gzKlkF)_mE{Sq1mx
zPR8aZ*7#HDa2?ko^n_2VAk)o*MTH>jXnzZoZa>8Z#Hxg#TwkZFwphQ5s+68xOiUei
zq5S-D(^BE?`n`MnXP9zZU5IlM%RuHGD
zCsuvL9k)_A5Ruk)e6v7iD<_uYB}Tit7rP!%`+mzV4Plwre>H!rC+7VJ|=&
z9nw^t>Lj^K_N&74AQa9Be{*FsA{Nk4e81MK*A<)X&=8Evk8)6M0kb_7UK5^Ed7GIG
zy|{w?22BBDz;7|A#M%LK_&Y=O9lIz=&Q_ka?9+K?&+GkEtG3peX>nC_`Z)DqVoZw)
zF@B^V{PStF#NgDk7|q_^^$>D%X)-3M)<#VG8VLRM{B|R9z564(!1|^^u;IbX8y^-7
z!rzHlC)-?9m)o;>D_%M&#Y-7FmY=o)Ddkju0#BRLkM?BS%jE)y9dGQFJ6MR#`dWDm
zmImoCr$>3B3A*i#J-K5cU3o^3t`(~5JpKJ`vJq-1?fm7k=Zl5(d9xeD;cwv%4&Ln0
z=M9F$YJ`U}7b@i9CqMJmp3_M-TJ}7p=*WW?N-BH?x
zk=x-=t{sXB5)=Srh|u@?dAaM62~Y99(|qT3gBnE5w;au80G}#GQ$7ljb{*>aMMjSx
zZgKW!yf;JOy)|k%+YM~}#e7iMk^Z#r>B
z^*eLq7~&W)YM-N>0UNaOXBvv8$1{v55y;@|1HCl^nYefX)-&5)c4$}Th6t|w5bHsD
z`Z6{k50vfYJlJ%+8XYiFLrN6)kZ%_V^cN1clZGxQx!!s7C3LClKYhb4n}Z|7+>zv|
zEy3T*TWvHxvn{ROa8%h`uj4CF%KOgHu{KkR(T{?I=SdeUq&0aM?7YgLf`j*7?{RE2
ze2*D05EJzqG+5xk{HdffmLvS^M%cR4kskvy&e{sF6?Guki4#P&aaBGd1f`i8o+d2t
zrAK4bsf#alwmj#127GM#*WZ6)j?2S-deikxR!1-UTE5AEg
ze9I-jV(Lb3bK6rc`{`qnQ9MdnVJ+XMoPb1_8k_!$uaosdYt9j
zwioQw>RsjIo9oMn9~wDZRX#lCrrf_g%R6Tj3E7=5ym@t%OJ4dTgiX1fS}X$TZ-yV*
z+?qz3js*J`+MbED@W`?vKz6-#`;z?ZkGlu!j^CX051%t!+&7J0dOwccm%rXK`f1wqnpJ9Z+7lB8&x|>5E@sP!gX$aV{fNO}sK*ji
z7ZRI3cQp`K%0g%_5OB;q$)}5}efQMn8S{ey-$^!~?}ilbRWrNLdRx{k^%Y#j2eTn#
zRNbwpxNWs`^&%WGISry&T)ZCc-{P+IF@q6=%EEzv%ezi&SCgQ9&tCl}@4tTLg2DRA
z&wY^q4e;$*M;Aa@)PGt$HxoJ(I|8Z^Ag}Ykz-XY$>#y<10fKw;Z?5VJXAe`P{Kc@P
zDDGMCV|=^dp2_6?nI
z@yg9_RKi6%#)v_Ht79Bwe0eq5U`}4Fcee~2j4pSvA_%QyT4f_7Jnk*_NaFq~%D8T<>LQSb=5&=tJ*w->lz!aAJ
zS3p!AC91^|j_rrU4S^agixq;*W@C~z8v3&Us=)#kIO}UmP=gUu+7fh@r>YN8{iLou
zNtLk+CQ(4C-|R@OkFMG8Tob)Y&q>3NF7l(K;3r0%8~ZLqWp<@UrUt%Yg>GD#u5G)`
zUYRstWnxgbgy=T_{!7EnUV+p(0uiQ;O{7aTu+XyrxrvKr1QV1VqiX=v*B<2a*LNmA
zmGRbx_bxbKGlus9+veiZ(;?o}3}RWzsJ!7L*vU8255B5L3E)g2%!7`I67+v*a;Fhx
z?mLkbnNTA!ltm}aFqCINWyd0|_W;633{e`vTX>r-EDads&5{f8zTXB2RHO_Q^oPR`
z)Q7(T2zdz-Sfuxd29=DWV>w_z(YgT#BMnNYVEVaa3w%UjRGM!_XM%Bh@R)&g?9+ma4=MB|(F2+SJ
zrZ=afa`#TXrJlNotH}6M8lIIH8$tf25jjTO#YcJ2HGdV%TAC0xhGUDXRp&*PuNkWI
z)v6}yFawr$ngL;V&IVsTklX{&H#Rc>%>DQv=Q7c^$jw9-fC=#1#P}f&1R{_G*1}i<
zNM?&(&Nt{iZJ9=OWir?L`Voj7H(@PU*$-;bQ>TCGlm3PRi~qh3Py|Ss;K9<%%jdF|
z%lU$qKKUmj;^W5qigwHuY>*6ke=ll&{1CY*e^c;(dBcCj!T;6Xya?dCn`!?5<6A6a
zlTPU74}Z3GQ(9tauw!9Dr+^LwFD>`hK1=^-`dh1zgmkhAyK;8
zt&^^AKt}?>#7O}WYHVhr3+f4p1OP#y19}`;UW=P}v)%Q0$=s^)STM;sSfzzgSL_@x
zJ=Z8ySG>wqT~b%3i1ppQUN)H6?d~x!q24R^g|#@O==(7>rC6!1
z*={P_ao|0@lq$U>-UM|dOmU?C1Bl&3;(vf~HOts|?gXt`U0E+sz>Aw93i8oUMy%gvc
z5HD>9D!emT)ifB)+^m|-fH3(`GC;T*3_5er&K%GC@BS9Nhh}qPLOB>p4wNIZ)2&9N
zURAbtqcG`fk77!tZ5m**fF}~}N1NE1s2i>)v9wq=`qg@YTY@lS$A`aB+ajH*e?wZ`*Ag_t=J8vFU=gS`1}a?D
zC-65z_s*%b1rr<@DoGY0wnZUTB3Pazg%^}A$la-=9&Zj_VF#0n<`iTYk*(DTK%{6V
zQd9uso##kGu#r||;UiMyn+bm6YJtxPQ9rAzehYWI`
zZ(uP5RP1aPZixdg7t08I2^SL>%!lkqE&;(Md@*-ak+;iRJY?KC+Y07Yd
znZ>mr)(=L{`d9>$UK3H%6OX$8jYd~7-jQ|&%$wUe3MBJdA-VG^5)RE5L>NeJ-31}}
z!KB_`+5TWz07>CgD;Q}jcBzwv3`&c-t^yq|kwhm2O7t+03CfR9$>=(|=z-2g0CW_<
z#&*FXSb#I}c#up)#wv+Y9U&486m?)PU1SadiGIzTE8Z_vd1wz0r1$QUU1v*npVio!
zi!SgFY8*05erUR3s+ChbWRlc1iQSx>;LrcX&oQewFQ!lJXOvU1p9G|f9I0wKXA&u_
zK~8zP5bv1eDEfG4tL(Uk`>vdrvMkf=4W4D4{A`Pxu#8>?#$LMBFzI&d7EKP;zOYS4WE!W6h$3%2R6vS}qoLRER;X
z+SuG=V3yi6BgysF(|VzsoQ*$OtLn(lmqbMCrT#XQkp^z`vnV@9ISz7OXX>`t|rMhy8Atn=D_S59*m
zH~Qgf+^V1&u>B@6>dK$KD|LW!o!dNXI{%t~+xCMKrLg>$hYeJs!9v#Q!LPuO!}8Ul
zdhCLK!9HX@ldG}*M?J9Yihbume-Pl6{v2x6iTE%}9fOTLw6
z4xP1vtQNpls6-hNQA0!|s}m<#z3^f)5B}hxW%^c|K#djHOG?TCH^U=~f$tv#ayx}P
zF^zvJQqvRse;w=06QUxfq*Ld1!>d30@U%K#n<*@+f
zaJ6+1GNde2F-Udr156Xb230#iRf$F00;)O(LtN|N=Zdpzy7m={FEDH@HUU~*-v(wZ
zw$z5zb;LnZ8m3O!nrEkNoHOm0ZXWts5WYzOQKjSm6C-LWEm*e))neC$PUaNg{1J~-
zuODB>y4D*vLrY;>E>GPlDZb)z%6@cxGI}|1+?HfJoA=~!83Jn_!qX(FaM=mKf7zGcdWl@
zw&Za6iprO_WSb^0+>BV#oF{%0<0Y+9-Xlz-7>E5SPu-65@JyQ}chnau?z@JyPu~v&
zBc*$h7WY2mzSzHr`%RyfcUn)YB56c2`Ivr?KqugOgNZr}N(xISV(-CkP4Qc>tNYh;
z_P^S@D7|`c{m1U1=W(y%55M{u_G*=X|L3CgPwv(i?`}=ys;!k>_*HS@SIPag*!ycY
zkGnsIBrg0UT?OU;OIV%_w0Ebu__RJU_}ca2p3Pob-0Qvn{&e9+0GmrJ^g{vZ{8M})
z72QN!m<32RAQ=HtI|4;AaEzP*illKdj;1cBOQ?-!lwZVM4)03xnqKZj+h^}k<)!yG
zT^u;0=WflA`KJD;L~|c6H7EUDe}$#`d^H$$N8adF
zSLzSQmlw|rpSNq;v;7Us9W$HMq}|VZ+-jM+$=cMXGIaJjPs+8;`d2}9d?cp1rQJ9-
zPo>kukP~z*n9Eb`Qsl`ArJ)SsECAK@7;{@8k^
zEQ?)4+>}2B%q9Zfx-Zl93wsG3)&my-V5AjSvXl|cvcIytWCYqg#q*xa8
zn+IBoIg!#dA;b9Qj9);^ot*v`*^IRM#aLDQqjL_jnbU-Agpl_Hw^wynqpk+EO=rjj
zvWp%W)J@2s4UUR~UC3U9Y^SuJ+?stS{!>}lmjqpXrf-i3DNM&#(s~{lw08n<`G49z
z@T2E*m7&lUGd5Wy)99pKykN%yWy`)FAQrKvxcbB>;${h;(I=MsPeOkRV2*f4bZBVT?
z+MWTJa#-8}x5DV}kCVgb4>V3$E-M78d5DEd@28+obfu^ImjXDs=Jt`4)b{O~m;0gXk*m(BH-|Dt-2A<-5TkB>cuB}CyDG;FH2G-2
zc@~#N>0pNRw4h5zb!xZ<3zTq>^Mc4O)cvYV*;7WTdj!RqhU2HvV{3hF>8>th~UIKw(Q(O1A_(kqn
z7fBzK$=@==ZpB(WyU$%--YTf}E1`UCCzBo1!yxj8_4&?tth|jqR&S?Rq^m#}wFgvf
z;(DJv!3equ-??7dn#wN-eYzTFnpI_AD}565S&1br`qUbilwYI>M~8D*HVa~w?WB>-
zfv2s!PXC8`h+N^I>6Y~9&gD}vc@8y-gVKo>9@3dpe(F!X>i3L^DhRvkEWXG#)0=-Q
zi_5)ownR9PlbF1B$LlgZXfcGHe|N}rD8P;AB7Z+7ggh-k`wlVirJXQJ=}6%xpgv3g
zS24ayv+?O$_RhP_)t_7^Dz^P-MjW*2l|-HAcoJF)E{ya9L-&-SNPgCBbRLUES1a!FG)-3&E)qXLQoXuIUk*)J_dR`9)#?i$12^+QD
z?~-;{UiEzz!et426jJD5$Qu(#NbhU%euZ@N3H97f>W4Qx?Wb$S%%L>$G{_u(7{!E*
zvee==9+W&3AQ;q;kOj4R57ir+Govg+NY5={N-bJvkDrYOsGSU?t0qT=B?j5(&%TC0
zc3M-9)JjAaNnDM$^`{?wG2=41!af-_0#$v}HEsoc%4Z}Ow5^Dd`YD|J<4X?bn-{pY
zE3ufdY(t9_(_N~EEGw&uKb~e(NfGcLdNNXWspD`@7+oW9kfBcK5-b?#>7U#&6D&8;
z%_j;3h(BE#7sHb5ueqKxH1ZK)j!!Xe{9cFN+Ixk8UrXjINv3u6D(BFJnAbDxsM|4z
ztERv7&*A?a$UOT2M4LO%6iwrj3-b2$nFx?td3h|dWv1Pdy0j(rhM~q9C*bvR
zZsd@I;{G-I>5{nYPyj+{23)l4=JF0%LgiiSosC<#Cu5Q{l`ll_;VT6=lCWAyh3Ymd8m9MT8?QOpK$2r5KwOY2!h4u5ozdivQ2U-gg}i2ljVkJ93Ug;NL{
z_MYKOKYFD+H*d!=V{vq*C|$2N1DngmSWY}NRYMg%U%ge)9%gX|RwZ={JGk?3(EB^r
zYV3*OcL__TKJ+m9Ch^1;%=*3=uG~-oTvynX?iUOp)d(GBR+Ml3S_!vv;Pj{kQV*s_
z6ER`^>H6PV`Pv4-sM*;aa`qbP<7bCsX8skwaI7JHKCdLWs1udL8Sk&205<&lP!_0=
z9O8nGzE*7Pelo|0i~(vZPDZE|rT>)-WX`Kpre-PMD=V&}Xp-j@GB$HStPh7jaFdp4
zEac{f&Oj7$+W|@om$xY^5NrlAH=kCAvI!mTS#G&fmP`o9>L3#Ob%ahE13E&f#HD&?
zWw9WF&Z0qIypcqL6`F-F?5_+m(X~EyZ3kw7ZbqVZTmSd>y{Dr9KH%SrVHkdh&p8==
z<@n8+BSqu!*VY?nn#dszr0xv9>}VI4g%D3FcW#+sEVXu~V>;QH`|%LcuBL8B9s33z
zGZ=Y%jgPx6%<#)tmN;^oFwUO8aZP~z8@rpgj_O<7xq0Zz*V8w;p4~&5MKI2L
za3IHBe3N&Eo&U~GJbXG$fGukSpnqg}hHUR**q+?YN}#lhsfOZHOPJLPfK9a2ka?Ny
zs3i?%H(1%@pAtS9md|D%M75O8PJMiAC%gnos`OIS0|QZs;o5ZTBoV+ffBl9wV$OkG%y=^huj3e1emfqP#<&cX0m
zH1rEGN?UKkb3F;xaLic!v^<$VU$~Pn@4Wsl+ajg)=tBSLz2eh0Y^giuNi8FL??1%e
zBA|8%Bv5kxRSv8Osp`jsv&6_)Cd`h5EE_?%OB6pK<;6S5rJLt!U7{DKR1#|o6D%sO
zPwv#>mRSZzCGMvDo2bzKcI-&KO}=TWc@LNZ!2Z7Xa9h@PD6K4X^n>K>&+PHXM4N*mdR9;hPmOUzaC^
z7n&^er;Sz8EP|Ulj$)mxI^G>!K<#xGAS;^=UK2_s2_gGwh`1$OHv#3$M3h{?UZoNJ
z*yUj?XfYFA31pmDLe6y{t^%0#!$Raiko(<^~eJDw+{F5FG*X
z_Zjfn+WAi6g?qn9({e$Skg{8g)*6h{*K{*UlI%(Id!&5JSpFgo1308=MMCy60t)P2rEWLtq0pMxlQ?SwOTf+!snbjQ4o
zaM7-=eWkF4GGCi|u}Fxd-E_IQ(G3{9sc>Mrj!cIe(#q~cU6Q9YBrF3*z2xNu;Gj~&
z&~(G_?Q4(Df$9KsT~54>Mu41NZkWD({buzwQ9vW#fJ8o2E%r=rsU!EdH)?h0_#fM(OgY?lYBe%wZfxge>l;6(FO0`tKK@gs
zv5%@cpl9m6zL
zry%G}U=kIReQoa$6;UO|EG>IYFJV-@_DW2|q9%0v2uwwcJWfZhF%bMEL=3R;u?%&+
z_K#ZKos?hhE+d6ev3)Jcju(#h8hLAHHSf_d+jB=01%}aikI@ddUa$w*w)c+No)ZIV
zf`-Dvu06-v8f7~!RX1KMSjwo}wdsDB&{m`MGMPJ0+wSZ>
zxQ)(g{hDkeJaktL@}2YcTDXx51|AiN_MjQrc6Hi7sENT&#p^K9ub_9?Yq_^J@U
z%8D2kN=t-MEW7kfOP`7RW06(VuuagniXn1GjPU~O-KCTw1J&Z_gVu)*e)l>gE*ao|
z)DL6B&6_~y&ybpAsVW*uf{)7l#T=wNRSm*C3gBBtyd}KqJ_0+O*Kb(<}f?c@=JHPEpB@&h0tY;)t42d{!^LfbP-
zZqrNBH>e=KNdW_(o;CqHs9Kr;lEZ{rb0B2)VMhS92t{TAeOgVichli7IcUyfc;Wvz
z=aD_BV2&}M&4!?uCk|%3Sc|*|`e%@)(!C2T77Z(0iv)n#l8&qCI+Dpe3d=tT0G?+3AdYB1w
zX2Vih(7uPrs{-ucNOI-4R2vm@i-{?2I;5fucM%}Mn!pYr=E;(Hh=4v$gM}Fm>E}(h
zC0moaqr@+-zWJ7@Y83RO^3vZond|p=Kl7=3JZ%lJ83M5d*xz*g3nrr7cq(2U{Z)YD
zFQFyM?0zPA>M@vKg>_`(c0p0iV(ddUww4BYNWcsfV3m;vvIyXz0-V+eq9y_hCtz+$
z-VIn366W-SjLMoV98_9vu
zPkkc196xn$@?V8z^t_?15B+zrvB%B&M=|*x>L(&EbFLgkPOH#Wnm(iroWD0)bAI3;
z2O%+e_AbFC1a1CLuPHj_#{=XAAX-s`ZKGpS0mS!U_~jVrajM}EhxkN@^%kigky*j0kmL5Xh5!V75|PBh~G2+U5iu*3A3vF&BY
zqBWejB$Y4yrrUaQyI$Hf(DWa}`;V`|db8pBZk5Z{DmC*j
z*EbVCr>OaC-4~QkE;2s(dBoHk5bMZ4J9K>$E~fx>a4GElJ;ZYk;@LCQQ}LTx0Z_fxFgsKtaeCKW
zUYx1|)$rf$L@DdHNPC}`9!5zn3kV%Y{4kX>Pu;QkFmLXbGVAuS>HGg??jK{mz1K|)
zQiF`AC|@lLqh-pxr$`}40OZVc>x*EVD2kergFi3&+brBZE9q0q>&vC?wu!{+
z+Ks=J+P=CGqi#1cI?v}Da9vvTVXjs$9C#6)N7?MY$o9B4&@De>)k6#33&K&}y9>G{
zn0_ON$`3#0UP@IBF#Z5UCREe0Yv@0@;p&Svf?VP)>VxF9ZEcf3K6j+%YR2LZe*FBz
z911}yPRWRi`)@mzhkQ`b8iMu`JFPD38`6;`eUx~l38&6_m2;ow{ALn?>FgM
z@xo^>;Il?66Y{s`v=qQ6w6b8@b5N|y(g9*3HE~f6SM{rD?9<+$*)BSCv~?PK)^Uj2
ztr}T*RCH`hO0cBFg
zQBn%S27$tS((?!*Ox;((#hVX6!;o$MjGZ^I2D}S!-GuYp<`-AqbgXS>h!r5ri1C=C
z;oktknglVzU1pnm>_RVzt&4&@&v%rF8z03F1(+UO85sEExn9Lh>dx7%p8tNGKjKw2
zuQ%fbMY;2&zbM)BQiPJ=?S(Ggn4a{qH-ax4*SSlEYbKU8o*^x_h;1Nk-n}=sM88GR
z?VI1ki_c$?G+|P<$}Y_$|JZ3@nTk~f5RY+@&hxPr(M=akPi#JoF*QEYH;Ab#Do~A(
zRF;J%)SO=aN^kGwU=fmnK10(VjBFqGw-edZ8pFaU~H(^tzO2{
zb^^2`^ZN9aoQh}faQ)tj9Cf4=fXsaQ^(?vV{x2@vC+)+U>AD*`!}*w&$3vKz^lwfu
zzn#Ci7L7HJE)SWX$sS6O9n!CuKSB4r5?Nh2x+AjxYGQF@iEa?lI7I_TOiz({6cfYC
zWVsrV7BaR@>gEZtcHq)-DSCXf1|=TnJ`cp_RobW=%Qr0|`ViT~HXjuev;IkpsqVpw
zw4x*W(G9g#ls|jF4Lr^mYT$i5@wvGo>$vqNEelY|{u}(Z!4$Vhpwgi&o336TYEnQj
zM5aWrdhj}S4mTTzpZ>A56q->&%rS!3su%)6&<_GBR#RwDx0nyruFSF0lnJyuxax-`
zGLv0$q2Zh)(7BUUQ6|r^#?)eBLq!&4ts*)<;1GAwm|St*$1AQDpV7&-U*P2_W@CvW
zhMoQ|dEQ2JoDRtFp&6we3Q9QLDXyf`cX?}dpikPQ#A5c|kJG-_3MWfBr{ShHDlrYp
zdv-+Bk{4L(_w#GFMnQ3oMUqUtrZ~q0H-Yi#Br`20o%?3_=cRd~QT)#}+Y6Q(I9L1$IO
zt#tS~<$Wd}$*P#cK>4-ow>C2-ccaubDthY^>7qkHiS3T%t@lhFlqdZyk1UTpb~nSc
z?p>9n`}o9b_!dT=+nV@CTOqAOhsUQ~Ab@XWJe3cf%UFiX4jBqfg5Rx|S*SI!vwDna&cx;d5$qNFfW7tf+-S1q_zXFtL
zZHXT}A;Y>NF?iopnn8&BkNWSLSP6OC!~Q>e9ePcJ_o76$-WR@8@4Jm$!JcX0?^d8T
zBsk|^E*6rKL)HfL#-gHI1(#dp-i-QPX9Admdd?2TYZe8ad&iBzBhQk8ojpcc!=dWO`IRdS>&+(rRBjJ@!z
zYsW#Y>7Y;Ly
zZ5M7(9XUiIC}G^+nda0QGwUqhnVa>9ri;Em9*&TXcX_8*WN!M8p@O8!WO^&3QsIbP2{02f+ziXDaWc
zY_?|7?(1lLPQJfl8Z>*mS706KQCEMy+~vE~*Zt4J-uwy=Jb|xBlrQmJtoLsU{GE<_
z-r(1;Qa^b$WwGo>>W6yU)R`*>fUTRqmDVQ5LssvodSoJJt!v<68JzEB4xkKhr-Ghx
z5UKpn!o%keVH=)5d6@eFZ6iU&YqC{I5^EddR*hfx2=D`lrx1x1L3f$?h+P6SsgXnJ3E@`eK
zBP2f*4Lzc5|Lu6WzrTI4iHaxp&Gx^=qD^umjSZaw-SqlUpOKC|S;fO^K3`IQdSJcj
zZ|KF_2d|qP!9>QdyuWAf+{rLs?Z3mm=Tz!18*Np~*Qi|mezs=Gj2^V3o2v1N=Vwlb
z9FFbn(O<=wM^ppoO*_kHtAEVW{kTwOhb+Z|ku&ZOr-^`#eVA48gp;XGb$3LS!gd$j0^
zLg@VV32QhA0z`1@bzRkY@L8v<@Auj0=g55#a1T)EFU?DCXu>HA!!+^|rg2*os7x`?
z*JL$NRWf`+3)|UtK#m%%D|e|T)SfUnqr$wcb3w9J)jXhM|A)$h-Ckxw+bz#Lep7D^
zsNG^Z6RpKUhSIJYyYOn#(f-59s;@a5BJ9xClX@z!Kr})dgJ8_V5;+LFPN;PzbV(w%
z$P`fcP*cUxWv8LmNtALXrZlPI=ZmGD-yhsgboOkZ*siGW`4FIU>zS4nhS|)yZoplh
zB(x?lVKDBbbG8h;5Ih{U0vLtA5C<
zt3q)8!jO(9iofLeqP^Bh0(Bce1hy*sz+kpLr#W1NTd~kx0e9~f>RSk%{M{@R%CTM!
zDd1!@6TMmiv&e+nw^om(UsxipH1)T$CbsWaYcRRgSI--wu5DU+bB^I22rM*n3!0$g
zhtJIh#W&mcU26K{Ex6%ihGpayYoa`+Z>0Zn&X`7QZ$L$nVQTZfgrHo1VqOR}FGLKt
zZNB2tnJZ@^c+|Yq2>2BsXIm14(U7aGghh%G(EvQ1n3p`y`r|F!(4c_=g&|A``zN?H
z3m{rRe*F~ckpY4jLh)f5C83leS+p48(VDk&8nT=LezEBGB8Zs=y{MwFMIoW``k$G$(>r_iJwCUQi_z6V62~KF#`?0d4C>)b
zi=ROc7lJ;k-4`U#8PoyO@zMw&&z~tsDK%AVU4C&NYR{N}h&Cg*=WYPItBOu@aH7}lsw@W~w7##J6!4nImx=My}
zEO&Khp&A!p_>00ibG$6p)0x2P8TrOqc8q(+De>c4N5{Pv*8l0bsnvJ;{FG($oQF4j
z?9f*z1)sC`xQI9iUoAD-&?;i`R=J^bm<)mabf-q7Q>4HCX5J&BEQE5j(%`v=VI{`VHj@8&ZM$iRK%Viu;E>T^&jI81?naOIwBh?ffqO*kn7thaosZ=S*Z)P`NYjOA
zG9jLO!y`%{&kOPrnX6H9KMx>J-#K?1S+uhuI1^ZcGpCV?#TRwH=z*TSvU)VaAGyOqc;OciXvz2ExN1nuMkwpzCP7^>g5)ELHZ?07$vZHO
z%A7~0OC2(K0NqEvlPyt=09VWNGCEzI(f}ec&u`$&#U7=|!
z7qFc#M{3->z2#b^c45e1h}}KRm}2##@tNA|9XVUZM3G$OvJ)1ra7$E3Op^Qa<
zDHa7w1i@qxyBK2QpF^TTm`b^n6WcKgGnWdqYJ5F9MQk$PU@_Is5XwN~wNGxKH
ztw~kkvloQ`8boJ4JQLoXR6@7{u|8WK7A8hm6^SB%9Q^~$S1qMFmq3aIGPL*7M)9wL#csSEENL29=6l?6lCYlM^_vyZTEhwn(BnPsZx@-<;^X
zbu|7vHDpl|`A$t;3(?_0c-HLG;DwyJtJ6DqqTPxfGlh7~8OV9J7Rlj4HlYz~7GXLL
znC=1rQ-OY)5&9NyKq`ik6c97Xs>#@DVSq{g7@vVgM4o-C9e{98YV;X;={|Lhi&?sU
zrp%+>g!@H_rHmV#oi>|9y_nq8^0Rk?(^j=JR6kh#&z~@Gjm-A{xCc_
z19)ZT_$|V;Ifgf+hEHsb
zk}z64`%??4H=tJ9AozLLt8vy>u6KT1<}Q#sgsCA32Xz1
zu$@QD>sR_oh4%ih?JCjkl2r4=T&BgWO$7AhKY_*Km)9*v%&A|^#e&c-f%TYeLq&27
zv64x*>-WJ_wr(6;6Ea{>5v_UL?D%@_uJvQ(H|z5cw|`PU-^j0;DT7}JAci~)UAHds
z=Ba>X0F;Vs{np8tcRK~Zivhy_Ip`QJxG;RmZHJ+2Z=uV$jb|g_#ICiE*cy^U%U*%H
z9*b~7#9Zr-zB_iuPq9m;ThdM6ym_^@;l9BX>m3i)R_hbyxuJ4N6iNN~3X0$;a?Jm}
zilib8h_}KL1ZLm2jx-`HK|zr3X#?oj!`upV>~>O=vIrEaM}_IN3U`M@#uOubq`TRz
za0gypWnoI}U~-vc{g8>zI8rKe(}CaN_B6XadWXc=EqMJG2p*op=?OZwxAUykuS--He&$JD+fQOq3LU&R0X=C3oiCa~320YA|6dH3->S9K#E
z;U_zFZgheUoZOq@yex6v;K97mOWHxn|je$^q`Gxq{49wNuW_E=c|hFUX(R@8f?AZ+-{={02GdTDOdJj`+t
zwusMJ#l1~&6FL!pHNJ-j0%Ce%CvjmZPM%+Gv96Q5b((XiWEqd12z5#7L6XQWn|nKJ
z15AC4{6gDH8}DnHbIvl;y!%YcD;>A=?~42O_I|bN(XqLiZ{{2mpJJj`)WS5U)~CYG
zbZEgc%*Z2)elq!cvMK^@!y8b1w;pSy*mMlX(rhBITW)NYOD4KS4po!add{ZkUdjCW
zDkpQB%;yM>g2et9TE~0ZD|U)t#>S-Z)?)AG!f*IPqmunlBW5A_-NVaC;;OSfvp60@HqzUE+0h*0#`gSSAa~fEv=@Q`FbFv7lXFhE~|${FbF1zE;7%y7mO?3%2yQJ;J7x
zJ+G58zaR7Bj$!t{i95yFut1wOKFTVS+lSW;Q>Y(^Ru>y^A|iaX1It1VnF>MZD%*}R
zjzXI&3Gt;~D+?VmjZN^*H_I-Atkg=jXd`NcfM0y|c7R_*s+*dX^-)zx=~Gl8Sxux3
z3;EKcwXsx90CP2djX}cVbBCMuxveOg!g9$jFyU=S=EcQXuTTS=gGbr~R7-mf**LT2zBW
z8X+}FIKoXc2}$AOHgrPSy=A9FyJ}U!mD*5HLyrAGZD20b$Ka0?P7mW_x-*fKQz7|`
zY`#iN*u!96`qfiZr7Jk{_-0x9xo)+uyx;)JBrtk=s}|DMkPA92#Hyw>%N%2#jZiyk
z2_ZzbzT~_V2CuuGAeHI0P4^r5D)~VZW0E5eNpDKaPl-0xtBYX66~*`sgY9IL7(p*_
zxUo}8gXa6(jYuZuJ4R5U+kjq)_dMVPD%(utY|Q_(!^Is@Q%;6zkNn_2WHRWR-z3kb
zSRBkGPVb}i)OG2j>c6W+DqnnXO=fid_98_L)Q7ruiI^$%GUM&YOrTahfS3Lv&Ixqx
zNqW9MK1B@eI1T8=@~^i#*ttUp)fNcTN@lG^HZ8!QU1Xai%QJVcWv);rm^V9MH;)B>O9rGU^Gt{eqt{zA)8~}Mu2{d2zd9O|U>f0+0Af&`|OF|uS_zB
zZ^l$#%%0h|>6hhx@nS0z0#AOx>SDrw-oy0s;2pPDJP$6=;1l+{~}wu2J-RE
zYeA^y!D|@q=D;Kv{#8w$_ktH`f93(oh(ygQiAC0A!?Fa_{6B(PVd7!Y>;0K(VSJX!ly@YiM~@?U(l%N(UHBa`@)}-TqbbL_*9fG1xJDd)Q2hHsa@+&H5Z9vwev!Gz2`PCL&0I%p7`
z!^9~sCyDz%ggk7D2#uOJ^b|h=(K=1DqsUB7`#Q!MyAJdv;7kqtAD!9sE8M79
zA`^#rTXuGv%J~)xfes9?c(iiI)Ov_PW!t0&>
zy9jWD>y!j|V$_C+m78)W&MakXM@vOX+%*x*Ky-0#?0j8pOX3vTT#%bDjQkxI=*=6tas|2#d=>+u?JqOU#_99PoGc=VidOks925dYr1S0LSZi}P
z9SnI!B+CkdSV7g1x4DK9S(}{+&50%HRrI_}0DSQ$SHbL;IkcJDTn%3$Dz
z#OFyq-Uw-`*>~CKt(2FvBI;JV0%WS(CnI6o=}piBqavQnzuU}rW3_ezU+lt4&FZ$w
zgxZYD{#vrl{y=RL1bVy1_;T@MP?o-~j1BS)c-^)SyzQFh%!NDICUNY(oXY5g?n1x4
zP3Dp7>S8XRJCzil{RCUTv{{J@LQu@6GyPbVAQ54TiJt<_U8xm#&!VH7vSXSWt7cV$
zShxgWS)Ww%4}dAKy4lgtT+?)+`))(UZ1d16qz~veG22zpRPbn;@=BvK0B}^mJnEsA
z3o^svZbLButzJ_ME#COI^cH;5P$#+MRpEcb@b1W|Bv;G*^qd1eW!I|A`n1IN6AM+R
zfId@2KQF>Gy-{0Ssk{}K`uwbYrKPJ6%vl<-GhJpKg@#qgbR>}83`m%Zmgbz)aG=}j
zmyAGc_O&&V95y?_l3(3!XlTp%jxpkxB-0{Su4STd%afb?tqxylsDGq)_ex5B_gy6&
zx+1BkUeWBj)YYRWm7;)c_bQt1Jvo=(zv=?=!aYwZW&wiF1cBxnlnG$f%sNB3FdB0~
z-aZ%iCuM&V7GvXWQy?H%7(Oa$f<}NExG4|QDEQbz*LtXDPLI<9#L`{he82yLX_bn)
zrlOwuI(Kf1m1S)e=32$JGT+9n6$yR%a9tb(!T?|cpsM7oc&lZy-9SJMpW3V}AlhuX
z@F8zeVAaLft0W37wqRHkQbM6`8ed%@Gwob$mjnr5MP^+0^R>Ds!+m1y*S~5o`wIHG
z#sYzh5)H+DY=CmGQ&xv{Z3R~*$QEo5dEayw+kJ#>wm3IbC2fJ)whkqK%@SodA)YR&
zAfKMLIM@&HP9hO#@bPtD3<#hK>JHV|e~q)nn8ey7uw8+>524$RO+Y=Tdptq5jyvs9
z|1_Lv&4QA?eT2D#Y(@}|5iOuELZFHZ>rI|#={D}wMJQ(T*MGtW<61f&`Amco4~*oM
zRlM#?)Fk5|zRIceF3`7JMgjSRr`wcGQtDEOQNhfub|`jSw(JkotX0mmsKo9`cr-Dt
zlOr=#x`aUYl&eI=OY^eP8bEy
zv5_M%IY3u}R5!&N2~I!U-jMTZi&$Xs>;OP2=r*5vPh$uOJP^0UfLclTe|M(}JpYdy
zs*UZM1!@~LsmkL$glZ$Z
zS4lKVo+4dBd9yC3oIK^mNQ7nFNx`*Z?HQB{>2oqu`
zsW-EkxdZ?|UYG6tT`L-Fd1bYZJ&Rh9E|zcsNK^^j7_Qe7Ne`aF({N<+inO|4m(LIf*rMn#41~Q^2vpC_Y1;=b5
zrNuJhILnkQpp`jwpLR-#nba8rH2fjhc`#`k#9$nPZ57y#@gcc<J(vX5<7LbfUE#&sJz0G(2bLgnfnRoW?xE=c@+#j*>wG~PVQU7CqGXiu{
z(wPhx>Cfke!%`I3y<#b;huS4rUi=>dyjrhcL*P7p_Y!KO)ni@^&ZD+M-r}N+^%qG?{i2Lk?Kr5}TuNj8I_RX+SUE55*&+b8N|83pmY!F?L45tX_TPqk6
zfv*roH_7`0vTc;}x`ZARBC9q5rZQbZsARgDKr!%raQN?pv00cHz=KjqHGszfdh0to
z^lVi!g&t+kX+8pv=$_CMj)(39y8uwTu%5Km%;A1Ln7JW}&TQ{yTa|?~nCA_vnJNhn
z98s>UpQ%pfSO7l4>SuB!`jF8CJo8nUoz7ei+mT$1rqJzg@
zFg3({N)n%n=K2?o$h?0pe&pzZvi>%Z+$!roaz(R~No9g~`M@mUy7!Xtcoq6*ZEh=7
zt*EZl6z9DxyCT(cr&M=g*R!gxW|}>^mFZn`<`}V5Z=3GMdca_5N7GexhK;w)0VHdMpaSWgUE-V_zGhfG{C|?_dSqwy;z^
z(3lQl!q{)eyO%TAejgk(`ovFq77u^|s;8t@hgNw1l1)w=U2%Vb;ezW~0@E
zeG;~Ob!WM7ZtppnX8beg&sLRF)(4}*u6zD`8)L`v=WEg-svS<7HwZ}b=)Mixu?~Z!
z<18K7Ya0d5fC8yDv@!7>_Z3~*l@8Gr^GVK-yUQTtIZ$nBgsIv*u+QWkJlyF&m*W3u
z*VEqPX(|_I9|vTSw%!O5t>ud9*JiDBy8Nx(lvzM^D5lEDo2*}H?@+H3Wf7;m`}gjluZ
z;VD)g^1f)-mPgU8Wo{RA?{0m1G4{^8(^(lhqlveQ-|?6Hf_AtGaKn>nNR{m`?i@8f
zg+Et9bz2=VzzS>9G-9Ppj`^?sN22_4(^QMTL+!r#m1Zeb;=%Se_jK&S
z`q#2-tGtr#A3rIcbA&iK*)Z=AgLrK{WRoB|l2*{#Y(O#Twz-7-z=A*>sr*J&mgYb$
zG0jTcsOp=7F5A7)w8|!+mCJ8KULRy@3?;=E>O=VIm^x1r
z76e<}NwmG}$i))36kyCM<0Ot}#u$L
zKmWJ(UC%fx!bd-qt$l!fA&;2EyY_O0c(*Y{e6dT>x5?3|;@{oaNqA(RMle*3O?ag|
z(-oOYm_1jX6|EhO+O*|{3DLN-SUJ6Xwao~dbgcoJZ*|Ys#W`f<%dmEsTll^9zIUTx
zYcUADW_sYyk54xpw6B+Ua|*r)1x}SxL5EGHl`Y?~
zRT6*nv3J{>6FygfH-&8pWM4RQ9>_r%%(qUS@Y@x+g&07Wy{|y%(h`mu%RA#GFUKzh
zU-|@h=AdxmsM*FdyQNzLe!JXTVr5?|Dt>wKrM`<(#;8Z($kT{R6;bmI8TYSjdi`%Q
z-)^XQ9oGHT&W8lftLf3Fjtbug>wj0FSE>hWFJ~X_`%>%;r^_RLW4R&WCpy0TyJA$l
zN*d9PT>k2@w+g+*;-X9Y%HL5LS!%fQ_LkVZzptPDe7Q`4bux))taFsZF1+Mx$6j>B
z|0t$vfWa|8U;3eGIgPs=lYh=MUW~Ev{A(hcxyAeBX?reU?5g*LYwK)w_k=Ckr|k9+
z;xd%wP@}0o*C*~vxJAsjp)&NdrZ^QE?1$bZ4k?ZBpYstSUgT3v`1N+
z-0$dAi2mVYF)NZ1aPQ>JU9oov-;Y!Nl^ENaEke@n2S%GF#pZ3n*Q)HQ+W>VNW7%iR
zJVP5qhPxF=@99}Irxki2NMqoEICbsrl&3eQG8z#x^Vyg8ac(8uu{W?=3qf$6{g7Z*
z>#QuT0v~}$D-gs`nM)_el{sxIz!D#=fQ~x9cN>mejiqx}<0_>Hh6HlCxD-a?G2vXI
zAlp|_^Ww(l<--`?TbxoDOh3ulO9DEmq#VcND;*umE;1erJ0iV<@ayl~Y1`V5IY>ES
z@bZrL2+z#*oSw;Z;-N=>EZYzMz1yuf&PA;lnf1t&3U!C%qE&IBZmGp=YKrK*GIy-E
zyVHBAix;@g@_qe5AyhRb4Wl<7Taj%cw1sRH{jGm+x
z(F$+XhfDS5I3ytOEaL(v^_iF?2@0OgtN~WPN0~_gkpYQA0iF$*fkwSnWd)@6Vgm2P
zhL@k#q3%))f4*b*U3xOy{Nar<*bWQzYTt3}I;D^nta~DPxPQgswiB5{twIJG+ORsQ
z!t5;7M*7TmyWU*)`3I7huhB-TdjOFm{piS-&cbvd<>B7D#jm`gyAj#S5~Xq8s|P+b
zm36J%cCtXLffTJ`?#^0)2|Iefz-xubx#^jx@KdLR{HSxF4RdmI0aYGGv4uxdL
zh102UZ8?aTnsp|;aH-PWmU1U(Mfpe>gwPow9J1m;$Xr(-W)_BbXY%1_g&I0jy2QA9
zJigx%#MY4!YGnF)tg{AwL6PUlQFf0zSHSjFadIuEo;a!$&{I9{>6w<1RaEy>X7s*E
ze1fv)&=${QcDGPhC%azON>9zJw|h&RS+ClPXsR7m)Z=ukihH6{WUmo5@56rLgep=Djt$I0l#AhI-Lf>eH8*KH;D3a`fZbdS;h)liFXhU3|bT&@z~YoUMBH=FQ{{g&mnUng72mirhMlaDFvGSk|!!
zB{j&72+=-tq}40L+q$uTHNhXc2OuxT2ULN&)ZF3|y1xpFZJLZHZE5dH@O
zL72YxI@9HW9Y3xAbj)`JhaZ1snyNP?LAkfE2-(fXB!^qNsfM%gU5UBUnNn?%+4pys
z4V)YnhulQ=$rtZak3GC)aDH=_O44+c^%;@-gQ8^vkH0La68u_ahM5l7NHmnx%7AU(
zeR$C4pNa~H>ut_-KrhxTd#dY`5onut!O@0>t&j?vFER~As+Xx8)A%s6V6m=#hvwJ;
zitC42m!M#X$8H|-(}UwDU0!%Q-`5-3&Ad>Unj9s;mnSljUHkdOda3@W${t8RkiR#m
z2O@eag)VRk5&l$|8Zq+Y??`8qbPST-_r*dwfnQ<{D0C;~Fc?59O086UeP`2vFypIy
z)ERFK+X;i#a~Fe7|x7qww>35Q5`{_2~Qs??An~
zNFuvJ?|=qA4&WgFsRG+10E!O4S`kr9q?lQ>drda9?!8K#gIR0yJ=C?azRp`_&Hrqi
zyX#!Kg>nXZm}AQulAOt=-o6D87_<+YWh5(>2D-MQ*Sc{&Z#xpDGR`F+S(;A>8`cz_
z3;h`OY1Luja#Bsd@w%BuGKL&O%llku;^M#nmE~
zC)kd}!HocDpakg%KoXR|HP|oxoJ{7bElyCfn1*wF^mD!;fd=*ELWj6^B{H1^u4W6w
zK*551wda)e2Ui9sSaDC90inPUG>FT3qLODd550R7>rz}-M35<8K@(wcHt|!kP##Eh
zlXFp?EV93NeWir7IhIrjDRYEiWBS%Zx1>MmUvHMD>d4Z}CTjE(Zm17@T$6lDDTWqF
zZ@&YVREItpU7%tP15djE`L3DikuOER8ji_B9J-3PSs{))!cSX#_EroXAK`u571B?U
zl4rY(!}?ndxVVl9{j6A>Nj|AxiH=cW-hh&SQtSO65vZ;^LGF_2fHF)AO-D)3b+IVS
z5EO-}+CCA`&O$OIx`bG$85e)O7P&^P%?MP9lflhEh=QvzHu=g^0a5y8osDoNP@S_`
z`|^EgE2td5DnDzTPN{)1SK{ic^S)cBgby*I={=wL*W^$;FzMX@c0gCc{1wC^CTz~u
zCH$M@&m`8ILqB|X%-OUX3CBMEQkQ)}fAt&v4}PN@e7QPiP7dHxq)Vil2^|5SFvP_d
zD9}*8c6$*?IUF9LqRrFObKZuJEAUx-vf=~d(>9~^bw)j6}rzjU^mI=rnkY4W!4$wn^VcAPst`RHeQ`(-5v`3RyVS4jFT
z2b6Sd|9$;ed>n;a&C&Q-pkx#wS|Eg65UbfGQ!8P$gESw0ta@OaI+=@a=fj!ZaEer?
z=m?}iq5Gqx<(;~AClj)dO7i8yr?G=FmYv`p8aJt#VW~~_O@M&ilT|S+D
zDdmdQfzzw56Ksd0Ox=b)80?TyioWR(VlgT4s6P_TOqzB?tmg6wbP?FqUDU;U6D|Q&
zUxDNUkXtoO7nSx~VfUl@d!DpN@ekH|b*v(eVbvHcT&n_C!&$cU$>h-Lx-3iR=Y=&I
zQ_Uv!Uw?`6k{wxU`QH@j-$av>!_~bVMhP4^!t;4nq(LRMI1vnj?Xz{Hqg8kg8(?m-)gBfY3k?YQY44
zoF=R+ScAXxJWERMWl;nyRE_1*s$s67B2NDbi?Sg52OSRb+6i4*3jYUcc2DT|L*Nue
zV(b$LSy97lwvTb@{O7cLI>~GGBiV9}*C*p+iZsrQ^=Q-i89`#Y9K_^I=#WP#p)#ag
zflD{W{R1@;WF(7Pd?zz1h`x2(p(g)u9WIT~%{*!otlX{6swcX(otH}
zb`$DK$aQmkd00mH%OBy_r7EXE)i4MF%?ee6sNq=ZnU(6%Qk5aa!}PT&{eiI3RMR~b
zUlaptFm-v)lOy@d{tN+jTWnnH2}3ObmUpCrZ!?2|`S$gD{u>KT@Z53o?6UZjBT1p}
zmVS^Gh4&W=Wfvu806~4?6;sv4Sb;X+Baza}6jE00);1EhYHTY+le_v!Z?a_2>7;V5
z@~zcb0*j_nHbWq56l(tzs)5|n71!Xsd`%+YVlQ#Q2#dtwhxT6C^5t9IA`F}`KX8_A
zfEoo$*F~j(>Laxwr�#iHiGWT(biIj;R#}Awq+?jQlFu?c0Z_#@C#512ajxCvJK8&XEiiw|ovVBiy-WMsdrKv1Xz1flIGdgd#LTB
zo}rXlWPCR3;h=vld^w;s37$w;xA||0rU7jOEOC<=Z(Eq#q5sy`AXF>d<{vijmIWhn
z-waoj_F#*s+SNaF2Kd?wTuj&Q@>|TPMNsv?MDA;**K9o6Y%eSbM9=2Z_OYt=%c{0a
z=%mOHx3+inJ~)xc7QbX_gh4cRb5Ub}nn`UQo}YJ|3*$(iTnE>;wVwT1inUjPsu`yp
z{l01Jo(<92cHPc4!>C%F-)-1Hn5%BP<&AdR6YV$7NvxLFaO%rGUMLIs*1mFIhqa!V
zyPaOmOlrZbBy!RIGF2ZYJb{V|r6P7SOaF2;4Y+MVk*7Yd&)fcZ>D`laD$hce1t%tL
z(`l&t#1QwWc1NEv3|Z>diX`%$Q@Z|`{}uk
zY-)Y$Q5SAiBRd_M=?P$4>az;UHoHe#8Zvzt*}bLaNuj9za_5#z8C2LLN`1AJtsBBpvdc&@hmxMd(5%0j-*Qo6T3AMf`Rd9v(|xp7QJ1
z!_4sOKiJ>~_O&DIs0P!JN`)etQ1?Z_KKx`9WJm@HNW87he+m(jaDBf+DZLZ?7Xjtd?+_P{>?```^2_%Q#3g
zUtjT-e$mM|4t1l(1W^nGKQ}>gk#IN{Y9J+feSmv+_2=EBZ~H?F0xnOH_qJ~gZq4)l
z2Y;iy_XqH4UUsVaztH+|-VX&|1;zKvgI)7KqFR!a>q1@fO{Mxnb>yF}UZxrfl
z$b>HGHesZjm`h|rG&@d^$opaMqOr-fOB&aoYcF=`)X<1#j<;0r%Ly}G{qYyJDv^Kg
zgKxk|JWaJq`7pZK&;SFO{r4=-F>B2_AIa^QBSdwK7hGDntvEyrR!q@Z4Y|=y0@qwues1&ZjkBAL
z$1}H3%lxT|VVF>V+w*%8b3F#{nIf7J+q$wYSTR3*38h+YKp^n#Dit~YswQhZlR9~P
z7z%!HfvPBmSfj890x5FgENdm+u$W5o?zIiSw&qp;1?y!OV{Wc#Sp17+v?^p_t>k~(
z7;Te%xz~700dtJ>1e+4;V-x9->BsM%u#SI+Ti%g0yiH!ss>{XJZmLo={Os0Qtz%z(
zo5?c%eP7R;7xq_>_~FFKnBnZ7O^KGPQ^$_^9o+k`@5?*8ksFzZPWx)ure4a#+)cdu
zgudxY_HdglPMBr3vpM?6Q?K>)@C@xru{#|*Kf+Cu~zcK?p@a2
zwA-OUJ6e5>f2>GD31md?j%{E?Hgoj?kz<@KVdHh^2u(JvYvRF*>;i{etM9y0
z?|hO}EgwNmWDffUU05`Z@GO~!PzN=8M7TEcS|lo;@diiL7EN=I?(4$kXorG%FwmfY
z4qdynUx``5u(5+?zIoD}_mv}q#{{ZgVk^?~uk=lj>uB-ghi(Mtl>+GhW9dBnlHA|_
zf3rbBaU(9og)`JNM;79qp{cnlT&1anBQvcILvfqtNX-gYxiT~>GwXmOM^;*vTGk<3
zX64Gt(>VU_&-d~B4|o9g{eEB9^}3!neTphMuCH;W>SgO}Z12)oysDQ;=|!AIp`)uo
zYwQ`~!OJJ*hCm!5pRZt>y24ZAVIN~m&SQVv-zszm^Rf14vPLsH2N#%^kFf$Hb{30>3MbAIB1SUgVpLpWxoW6K%msO;}8>~MT
z|5H(k@Lfm=GERQ?w2@d?450r~mkd*6V@n`m4UfOsjo~UiN%tU!KA&x4ho~FJ+<3M4
zYq>H8S(AFFJ}gYt{xj)tPyd>E4*1d)s~={X_#p@fX?3nLY7=rOE$bQc9F4!L=;K?)
z*8Azd)Ton=a?I4p*@Sb6%k8J$C;Por*qjtcNJmfyyB*87co*Ule|@D#!XB4JsF|8#fy4wC!+dk#ix}^I@)w
zbZt_>A)tYH(mx-O{1|Ez?S#~6b|vo^WbaDg>2GU)lbec{wjp6;GB((GzHrXY#+FpQ
z|8p5Zc0NxkE%^Of`@2}iV4^|8ot?8|oe5Ep#A$7??wMnSxre)9n!L3-P{@pEVfm)E
zzsT2G7usFX^@qkdvbD&YtH70D=K$0qVdPX?D_k3WOb1)Cv~TG4(014KvzQAj@p{PQ
zkQ|y44B4rHbyDt?WJUMpR}Cq8Q(r>Ip{r{FdOFpkzCCAq+!1Ef@-YaS=H&Veuam)|
z%O=G_qGp`bJ7=mLM-*ND2brA9ouo;vK^isY37vS9QD0I)FdU}d?0(Mx4A-#+`*-cl
zf<5VqfNompHxhG%Y?*83XD&-AQPO*}^-XDrQs5oTJXZ|(N;nWEQ^9~Hdg0qWJwpEm
z`~P6qND%C5nxVcET%kA8ZYsA47u8u$-)c{IC(EMITudZ7$SO0LQoI#eCNCE~(apV^sV&^op+Ew(PtLJ@*&BEBG
zGBGQKF!fYRa0V86;nQsc=>!q%4>iY<8Ou|LbI=|ns2m6Hq~1O3V3k_0Jhm{X5nNi3
z_mHfD@nuo|V?n9G5z^5Tm_DW-zgHdOp58`9wb|>>e
zPCGiPvS8*@`-VGIH~o!*Dgd`})#jOf+<=*GIGZpy`F^@lYT*-X
z$8IhMfRiAQmB*+PCbM_QA7Kr6H|x|j3_eDH`?Y}D(f1l>_vK@OWzFXsAR
zY?_R(5EgJuBHOsZOLQCVmEBm|ZCUhjm>Ejneca>{l&qhWcW#ck?bu9hCzK!(_Tdvm
z5H-dPSenSsrw6j_eI(s9U7Y6;?YQ?DoL4)y!rzB?Qr#31xEg7qEWL5@*1Zhg?P#5B
zF9KAKU*de{lW8uEDn>+)I2-JXK<&?ptjE1~G3(XAZdb39TC?TK&4Ggle7(Zm9%oV)
z5NTYvF>SE)EuV)8FG){X`TktG=~sO2^S8ri@7v}mzjiO!K`lz}d!uCO
z=X;+(vQkrjEu6@8Azb$&)b-mbpDjL|`-bv#gW<$Z_GCoG
z`ZYWmgRQUR>dkof5*Z#K>i;ucs#6CmofzZnP_giq!MDTf9v5o_F$ok
zPvob3xJK-a3~Pb!Q8E*Ieg>{R($b;#J3{%IyN!}f1JWu1nK2*4H#&2*<7BV&IYtT0
zVDZjBzn7+8rS~|2I030pR=q?JTT_awm`YJ}3laF*-Y(E;M3)!X(wPd)Y$!fds1h_H4#eWK~&xD2?wd#5gkLN<&
zxzJb|!h($qmP8{s2xpd@6$xg==9rd{qYkE!=XKzGmD)-Iv?c7cVK&hm
zq99U~jewehOlp#nDcBX+#AiiELU%!;^5u24{2*E+XxK=0SS&QMldQ}@7Ez&sGjxGU
z2GuI#s9bnkf70FEgq+EY^2vF8W}XU&dB+J
z-~0mJe2>0Dsk>=^QRpfpbTz;>RWIj~`#-_Q(tcPw3t%5&@pcnnq!8*z$@&^h&e8YE
zxxx0`bj>z)Lexy#wSSc(z1DHzhN%i*5oaMo>3ltv-Sw#C8&Mgzzw*^C6Dk~Y2EKY<
zJ)1KHH=RmB94bK^T0!n-5XpIayGqUC@#uc4bQ6H~Vj%aE)aHgzudNTat{}&9e2UO&
z2SxBx)FUs>?*INCQ!xRTcSD^93OcHoih2dEw4F~U5f@%-5{C;4w8MJ_%>Okg#A3W<
z*OaC53YFJLt=+a}yQAsZa%?u-O)q4_J(yMpnM;>Dm8!Q!Iq39MF+(*QR~5V6GT4M(
zyyFK%3D7;77yDOBRhr_qqX85~r-cTgM9bVR9umJtu0&smbYMc6)qJ4JC~<+mXS2oo
zOj4;h$oQV6k6N|QT!7D~db6>o2=${0!VpBUNV<-Nei~yon+lG_(1SGWBo!MkC=)oU
zy%>P4UE2RM`{chd7;6DCmX(ms!oa3AuHmIl3eS6!)cie+8!^UrDK&RojV>Bm#MrWL
zf2#&T-bPQfl~;c-{Q_DfMR3W&gaR`jt2bS&H*L+L
zu-KpTE|3Q*_Nf-KOB)9CE)K!~~Fj
zG__*Cg4XGVH`OGAH1k{cO8RxZt$Hsk{d*xQPTTTO6oQ#mhG{7YEh+VEDU^p20hoSL
z9hHUznWNgECx=m8;n~`Bs1-cUO(&ohY^eOt(@GpbmI~lSfE*+18nNwiYg_5!>9Q6j
zIZzo!)9uTsM>Q7?=eG~n&~q~`T;uK5RVjTp+Tf61v$M5E=+;<2X;xVxT`R&U8ywG|
zZaK$l@)03F|I|)dS4kPS0Ly&$9WR?I^A(Hz3zV^8R<^oBY
z%Yri{g#Ao72pY^_!QEKU9ZWdZpyCiiqi^7HA0>Qvil1Op2zA%~6xV!_TW_{b*H~-5
zO{}|ZXBP~CotMZ21_qjck~u5^)PZ=T`)$(1`rhc)s7WZuk8yf|CWtB3c7P@+7K~aN
z08m~K6kVbeQFpDm2BLt6gxI%3KI*XWm>eb)X4rB$i=x`4J(_>Rp=tM$tx@lL^PZsO
z$A`T4RCiw4bEVC&ah6zCk?s@AgmYG~nl65QBx%kHvYUyiV09c9A(JP1K8$rNxBA2i
z)$RzSW+tSyFhoWPvbqE_2uP)F(lCy3=nJ$X{E{PsDpLLvs^fL=$x>B`>V>hXhAZTn
zZeBwRH=feitPsgIN$Jvj+;-^@#2J4h$V>NZ2t&9i`Gyj-9t}qA#GLVmJP*50KLgRH
zVq)K+YZOc5BA_4>@RvY#8Wie%Xp1h;zOb#!;LQd7-J~PZ+Fc4)9(&dtjlX$JjhKEL
zOctnLOF{;*QBs$fvvJb7@tA}XRB>iU$$g~1FSg5~97iZB#V
zN8buv)2x);MKa%Mvhxhw3zp(6>lzMQjjC$C<5eju&pw|cZhq{qy8Vj!o}0(KjI|1{
z3|jZcu!ud5<}Y**{iL3k+C8vnOgU@+2dROQU;C|ppWCd@yHj#v?*y_+AXUYb5~(5z
zH`C#9k}?pc63K%5NFn?LC@!t1mgVpza;WQanA2?qbywX;Q#2M-hUv`nUhKn=s7=coS!aXYiAIgk{f1+
zPD(XS*51sBfABsT8OV0nyMjz)Ga^I}c%S^PtzheDNpF7lER6NO-JJ4?mmsTFq-uHw
zj(`MN(xCHi;WIeVQ|R#ZwPrjE86rXDuK0NaYG2Nj>b!r^IxJRKDdk;>)BI7`EwwsXo4WMPHPz46^=Y+?o2q>i)tOx+_2N0QdZTstU+VT8j
zlkK=$D(X@3KT)Kqn$Dar8F?E0MX?VUE0@yo==9AJ%-?LVGmK(v@0tDRx5o%g4Sxvo
zsF}jV7^?4HyTgNQ%*6ssG!^BpiBhBf)gyOl`YqwoDtsUFML8a|Ca;l^KU5h}BR0K2
zMqO#zLm$YxP3Fz@@|!J}ZXcL!ev~LF_}qqNV(D<1bA{I+8IULeZk2|eqsq1dFlD?K
z2$>xgV&+-a4OGlMKt{~KvS_Za*i!bTxZ(+zi~uz)sFoUsq*}dhIE5uXc-AR`$cTV#
z!7yc#vJTB1WWN^y&|5_1{a3CrwPC!=sD>2`oBhm!DW}^Z`;(>@z?Pb($(k(9^SKoM
zUAmQ~(c#-~v_Ltq$IJt4!nIB4gD2xPOOI7!NeHmUkXlEDvQYWPXtRWqefXY7_?|iz
zMo5!}C=C=#4|vx2Jc@{D`XfC7oO13%hO^*jBa;>M4LWWkPD9@xgM?f0o7S5@C+!4;B{uG8;$U
zVy(P_L@dT&DoLn!>H{E{eDc_UwJPpD4b5Z057N|PMTnho7^$oOLlvtt;MNH{m&j#r
z*Ug?rd^o=2cG%oy-E#Auw*R!GYYxBoI#P8n{zYpIi2s~VT^u_e@eo;mqDapTwsx+9Vq?6X4
zz8YmxD(7}7d^S1StQvGO_RW6%FdpN4T7U2J)Q^_-zu~>>C|Pyt{@$&nWjRHOa|zJd
zjLJpTt8VtMdOkW!D{I;&&zKx+$aXnrb@1`Z=z2b3YjD_9ZOB)b2WPj$6tX83nuD5Y
z+pVb!lDE>t$$h=K@8?}ksr=fzk~v$5*n0LM(3e1i>Yc+D3@gUBcMd9VAEz2X%UE=&
z)vlEe&H0)(6hf*>($d13XF?rvg(PRZg69HP`cSKYyXV#90epwqgg{@~TNKH)+OZkZ
z$af*e@v?}|31Y6M3MWdzEtS&1C+d4-!R6P1w|LbaLd+RWzLcDiG=a(F5E&e&LA1=O
z4gevuTDe=^l!J3;MJ5}Dk8fQoaVA&mo^g>6(J_*lOP)8AQuq>2z4aYxLPzW977E?<
zVi=F%mf7B&PDH~$Uh~pBDWixxIGGt*&XyiVgS5?a
zKqueK;uExBOCNgIj)~uI#`gg&D^t6Th-HQ1QyQ5oRB)VC_}Einvm;=OyPkT&)f_F~
zfDWwc1JFqGwr>=w%dqi#Q&i9jAZZ(HN8a|N-xCmXQ)V?pI=tg!jCn*c>414WF$E&6
zkGG5}NqK$#O1v2MgtseB(hu(*ltL8<%!R4`685qMV#j6HGtV&;vH7P?cZIB
zbiUkw(vNwVCsXFW25(aL_x@?~4(M}exQaFN)_ZXG?xal=OKrZ#6mQ<23zNM!fOf7r
zShb3%4A0m*U*v74dZ{wBFh)k!uxo~cczhl2RH$Er=cTH=vgz*@-(Jzi?))#dC`U$f
zroPZfk{gA(y9$G0&1%`u{BdBq9ecv*&dtO3M@q*XUD@%SyUZ%r1OnjRb(<4RQWev&!0WJ!R73VsDaLK2!nK$yA!*u2G#yquXIX}
zjAwZZc**@DxN$BrupYuAf|rDy;bfJ&0vAKihyvdkiF{u(*~wPU*|0~F8tJXESR?AO
z#wO>yHuOoiIdqW{AU;1J?L@c>AguZz3f+<+%TpCAkKt=7(fM&Z2SRzQ@tIr5*?vg*XD(#3?p9sXMm%-Zy
z4~0C)2^(8Bm3FM8y}?oa-GzRMTi}-WQD`%!6TtH(zcItq<yY`zdzQ|
z4lc7mB^;eWB_x#Mh}lH0czs{oBi5;52VTtZR?z**mK&jEDTMDk^u8kU=?(x1XH4<>SaYHy)uDCx8vD9JkaAwBN}Kd(xbgQ=xHzc%DI2;;0{xD@j{oCu#FGDrNc|2q!Gvb=>^;Q+vtpPi!$i%5A
z&2NI#CJhJ-b((f3C>
z;~N~DvtvPS6N7MOf=oL7N1`BW*Ss%}xT{~gHbbZ6l@DYYjPFa^oxb3dwY)>-xOj`{F0-~vqnS_5o5`9>Rj!XZJ5$R1KEkX-{a}Le>8{-#PwZkHk*P_v{W07mMi4fT^iO&KdRs;1YaZXKPy1^k
zdw>|EAmz)d&kr1TA%&L|=!bPGr%`3pAJcMe*XQj9s5b9BQur31Nmy$kO#dFK!?3SZ
z-t?%UVFJ}={48YWiGjGUDU0+}I`X!`X54Ex?=Kh*p^V#6Wi=eOuNQgkJ&<4h_&kxT
z-Sb8xmI+`3%w-P?D?H_ZEX&ACcQJDp`wSLUH+N-?`2abGCwRnWBv^`FegZi{%f4-C
z+$Il5*+AgA5CQ>^0yr?8OP$w@rE?LPx!DacWF{f|+52|$jf
zU7rpIQN=zqrhkWQl=HF8qZ;qMs(F)B?ww?QA>Y!Ct4&O?bV@dPp@TEksSq2&wz_j<
z7ua}VKL`L;rgr%=oB2{%I40LDn(|DZXD);VG7#P*_$&_@na(pAs52Nhe=eo=Q~NNK&;_K8pL6R?;^=Br0|g@ZJYav03P6=s1O-|BhMlRL5FZz
zM$*CXQ|>5TAu59eO`k#0nuQ>G^ndKk9=??b(ZkCjeBO$izm5AvqJ3>kOtxKGye109
zdukgDK5ij6mH5_i$KA2cXGW|u&C-at(fU5ya{9wF90UnaLEo8BfR}yl51~1P;NkC>
zyuet>zLD&S<6!Uy9!x@dllZX&q|My9^v7MVOJUFOJa7E9ZJ;yErl&Xz8b8X>4wii^
zcfNXFmT}zqJh^{JWR|_XFY$?^gY-qbr!}|FahD0(NzJX>+pEiNi>{4Vw=P7QiUdD=
zkxh4tW0T_q@@RT?OcjV7<;mhXoB!HpMFa380wQUnENX>+NQ5AdAO*RIBS21KY?g%(
zpp76EVtEP89NA{Ri@U;U5h6m(`g*ONPbQ!>(Tl}Hu3V$;v-6p)^?APi5|#}+!A2R7
zP%Hs7Lzv@e&N)7ZI?;@bqOzS=_-Skuit5w#SP*p$e^u9LhnmTe{=1%e&PrT!+Xgj8
zgyqP&KKc+DtSWpX1mXeDc*XrZ&w#PlARL;WChmh8F3(?Gq&GSV1)G6t+xCy
zd`>Wn&!qkjH0tAytfC-UJ&1$3*^w;1GYhbpLCQ93>5Wk4
ziCEk-==Iq#tK0Gu+2qUk7=NmzH>v&H&(mt57oMPt^s{8Q*f5N37!>r~ts+?Fxoo{M
zo+mA9qkNY~Np=Vgq0ff0$DrWu>1+Xi+jg5YX<4%o?oMIWG_%465BH$KorQ2)QP!s8
z2zMx?XlIGeRyG$W1a&3F`UI|?kedeC*0ye~46XVYsjIB!cc{&|`_@$AqQ375Kb*pr
zYvE63)!T?vNSnV`Kr*zBW!F8}geSqi6`&4}bhoCkodF+~O_mc#>jkn>CV1+JS?&vb
zmtZ&zd~Qeh9uvHL3X-`2IN)=_CO9qx1Pefs(ZSFA?#qH4V0S=j1Y%nR+1s^SQ1PHT
zmX~OglhVVt=&@ID7N5fBBm&^X*0D*=jo2-A8`8f^ba#Gjnek`rx`#P`c8XuC<^l~o
z_q=e#@~Pe2$m;sYWGrkenzu6+>PS;JXUN1>z@Oy9p6B5n*+VyXh~S@C0~gBsp9p39
z>)?A>ASsipu>lLK2ns6U`3m5Z=d%4p;X6rt}Fb;74h?fsO_G%9|1
zp5f9eJBAliFA^&J7SLbAh1w$mWJ(~a
z6J=}jY|S2i6(T2o0hz>jT%GB4LEGzgkNz~Sb7$1vB~NpdT-ZlXg9S+7$eHc_iD6^V
zF{_o409!6q1e?OtKZ#HeN~&04z#bLAw&CYCXN|)(jB!>IoqD;jU**{bZ{Ts)BYd0T
zdxye#$yZ?SAo@0yB>xJ^2GnHY^s(cE1hsxSy&3Z7F~y^VFXtk?iQRqN$sbBHasq8#H!NTB-@dVxt*bem#hsQiq_^v*7Mv
zPoJGs=(AxO-P!B)!C9{+q8h=jwrUdJq%zwd>`63oKR96N>3{B?WK3>v=a5>-yUp9O6tosc#`@N2Oin0?R8?H;N`5$DBI
zH%a2-QO^_^GVhM4#rT=VT)!?+|7kM*#yrSRi8|q6C*s-DWXwe{O_owm1$`&&^|si7
z$UlrH%_jQjtep$>p~2yMDA^;|0}oba`v+$S3K9D5hRHq#Dr3YhLh!xq!C_p$l=3B`v^aT_A8b}lT_(&N_2(b^jk
z7ygU$WoCP_vyBGe66KG^nY?W@*l(s8{J2Vh&TMNacmI;i(
z3gNSBDYoZtSS#?YnzUA2gUw~5g>UMFa>^bg>5_|~8OzxVT0c9E{JMMOcgK%8C!Z7m*roE_U1kZ`ije7M-8JNt8bK39(bRh!{xGb(I?AL%n8
ze?>tIN$2f*c#oD6HXR5IzEgzKf7vn2*N;i3Us-sRt;6&s@Q~o}^Bs=@C2(UH!k%5}
z+XG_&*$Pw9FatH$`f5so
z$u|SPR+FuA^5rCbsUDCm9weD`wz>@jjpnTL|JV0#3rlGxkZSOy9l-#MCEc2rFSp^Q
z{`(W;nDy1Yd;5!>4@a?V;_vFEUU1Gxkh2cFC-`vrNsrpq~$^XdazfuuDO|nBNtKf4TB*_Zwfh&)|eR{ea
z3A|14_jDw{w^#8@2)Y2o&^_ydp0CN^n*dhF)Ki3)_tculvqss~ujhdEACqjU4S;kK
zm2vf0#x(EhA-S}_h?|oaZ6@=SLGU{*JD8A7eFrG3a-`PT@(VD&EE`zh$!}z-#A)q3
zNHrS$yEUR(mX@99j?`^-{Eu(vvaG+jqg5%}da?b+)D_J{ofjVl)bf>|`luA$zqUQ$
z*7loC1_9f?T{sI>3+8Q=sL|1ufh(|`=wwk*quxzV|^Q7mp9P`bq`b{klae&k&J`<175(63}?K0Dy`S
zEm=D)9i(#h-n32>oexvs4EULS-Q)t$Zk8j
z8r{ouE;{9$O6qmVeRkDp@C?6GO2M_V+ZrJ2&ZUN#u^?
zX?dSGwwG=nEyq{f#f->S@pE=OU--mjPgIIgX?bn2@#wn0hxmbWZHag_pmCQ191-fL
z-0la9*j3ksBk2M|kie)UkVN<*8@hcbh-R9t|9C}(~M|#CDPA_RSlHKu)$gejdw(-urtK<
z0*yeV!%BOnk5znael|kOnQ?E&?~$|u%ZC!!X=sn!5a+P_y7F!xCwVV$VO!%@ROg7<
zhuS1-J2(F#%dz14qw8$+zKXBx1iSZrU
zHE-@mt6)4KNyu@hRHQ;Z6_VY_9tOwSyQB}hdzXnPgaBzYH3?_-6tM8L7$#UsVc7b+3oVBN6bdxux=V{Ntbiye>ZxwMh$4~H
zqZkdzOo&u7ARm|R{2I$qH3&!2F=!Sr@TBbd_8F9ndjBpvhZ(2SGAj$PTv$$0o$QW>
z1SgU93nAS!T?fB7&*UAva#QT2-myBI
zlY^wk3o~7bpG|XLseG1SbKSB|Pq})0U%K`ym4h^Kzg}Aa*-ej6;G)ULQoB42m*Ug&
z6dARXcLwo}ounTaQ#n_4Z?;%k?xW0d^X`VZcS~u8U**1p(#y`SyW3nn$1KfwQg(4_
z{D9XeGa~)K>7$A;%(18kFtAz<9p|YnrK9u}bDAtvqZlbpLzF^DaWElD?xD>+-0jk$
zLjtZecEZWpUC58O!Nf~1a5Nc{IQf~+hA}-ZNOd7V7La2-<^d>n8>runu#`pTHxn=G
zM$NoYUMp2P3!7^ebE_f&W|+N!iZT
z$*&kA40K=TXk=ZMhMJTP_6#G88{;uv8!?J~qLCu?71v4IYOj4k>Li3kjd>e$7n*hR
z-smX&Vzo%y)iKLGhG|4^5y6-%{PsSWNu>D9RIT|0v0L@Z8eA!2nvQO%KDXr&#Pgz#(aZ+nG!!;U9XReJGQ-@0)
z);u%+%V7Jm`&!G;?YFuwoB~;OuhEd2J$IH6*-MF!q!UL5w-`-gJ<`b$xm0JpB^D~E
zykCKM#)X7V{(IR*i5w(^7A_q`K&>mtm_hWIMWp+HjFLVsmBeBbN6yc@W|oUgMTbADP&Fb
zF7C9N4W=kU#F2FiW~mw>QGvgq%3~#iMiX|@`^Ni~+IwJXck9L&xfB^s33tot;{IHB
zlkJ&9(2<{BrO{@WL;iiR3_EYA`wuOxM#b6xO>sR+gBEbmHfk(j#|qmqwjoZ5@Py&I
z!cY~}VRg`_u{&s7WeM_r%!HWuw>MX=og-byF~NYnAd9yFyo3-y#Z|jsa6$^HP2r%R
zcmO3L!E~RRwG{UQNPIO#Yr;`Bm6lyF+K90G6?h_ZtIzO%m+lU2F1p{Zy|q6t8m>dY
zTz9R>IG-OLA9mSHm`Chz3AE9juNw7i^$Jl`NUR#tZ73HF2f&xVV>8D2`FKhREL`B|_d-wdig
zY}GB64GT8dUCFH+_a$AUbD9xrFPAZFOW054^uL#JEc!K9UuXBV%Qko}7;^?-!MM5x
z!YlFbOlZRDk46K)WV$r0=8ep;q%-f{{8=;;UY4QWKzvS?+tHtquJ+Ot_nK)+%Fq3B37L
z>YXiZq~_8D#>F=cT!yGxRomaaxV!t+@6I{WL6cLvo*h46*Y=4bo99ZaU)zk#c?Uan
zsOM7X*XpY|vfX^-RtXJ>Ah8kWfg4*+_(|aBR}Ljv;6Aj+po);n=mHOzdvefKg9PHqWd58%s;=9HrarkLTok&K`}{_oda;oF!DHgnptJfzZ3?|q(*}Z~L~EpF
zTg395{TnU%9MQ4!PDYL79dBW8MLNG7F|;{=Jw<8eI30@ibR~=RbjcS~RRFqL6;1!u
zYiN3SQyp3D@t#rJC(}jyj6H`5iw&;KFi4X0c-;M)LLEA|3H`Z1YeOs_?5!Fsp9#Fl
z>~S+c^e!klX03Zzu6+~oFyi#YpZ+cDp=!09%+yCbAz)4HHyUwN-Vlr1p<8D3^r()Z
zm2QPD-YNn#!M!O{@Wy_vfFyy)7Un#?qPe4W-;VzpzJF;juJQiTP5yWF?N~68uFnMQ
zTvVsnXW#AD=>6wyDF{&GSWG!>Z+?I18P6z-t-Yq@mfYyo`&NHZ@wOFNJ(2w1xBXa>
z2&2mey!jV>?rF`@(Bp5x{#~*^6PYoqErFV;bD{f~e{7)+>An`Vvj?mr4Zkb?Y>GTR
zr{Y(A-VNP2Qz{_;X>iZ2ap(x&*FxOqI3Doe@@l%6xZp?%=bEe-7}(I&8=KZ9=F)?o
z2Hi!0b`h@8Cgm%(A#(m$QEF=i8xKf&MV5jHv*ecy3R
z`xun@%REl!fQr`P$UkD5ejm?1wqKnIH67&HgDA)|B80BvKT{V|xbMr21S!^%>QR8S
zz`>NTX?5&hxIJp0-~ajc9tIqQri*|<00pN(8Eil#x@csOVsY@#D9x$_W(Ew{>cXVP
zwLyQAjR=H~4p`^H96(7;FmUV)``CYe&&8mg_;JtbTTgt&4@6Ar+lG?L(CdxFw$9Cc
zH@)>%*+J`f$hJUa)%FKrFQK$jPog3+29_=^T>a8B__}?H&Wd)Fp*!vkE7afiK&bEHaRv6dC4AQNmc{)=x
zi(DAVo2C}vH0@5(J;ereMVRe0tVje*h~#KAS+-=N0K|4;Zr7
z*}4GH?uJ|i{ZE&g)XUrWtbSny*96d79_!co%+9Xl;HVrzE=SRw(~*tJ{7h3PK#QKo
znq5Mf`n%o#wvf?JHsKOe&@t2J$Nlu4#^eir%CVhxFb|&6FZ1`XnBmzJ(s5fO^}jnM7g82Kuqq&DMb&E
zZ2+@`0kTLH@O`D5R;q;s9uj;58V&2~sTCmOvHkxTkH3NKpPk6jZ0jo=kc@hzL_~>(
zZST2)8T<$73n&#HdhRjtGW3AFiW04ow2Y6*3_5aR-?&LHv16X}cQ2qI!n(6|0AG@d>sccpSz
zCA#@b$NxCU;T8QRCTmNYY6gR1Odmw$GmWs7Lx|-lb~ghdj;f7b3f}IT!SrDPRfh6Wz1~r=N9*b?;yO5Fh3Gv&{n*v6!=j`m;XM
z=FZ$-z03M5CFY6)G+W-bLGCv8fVDFh4e7V4645@2P~kA#L70uAlQkX^d%y&<5Qo7(
z#7uyHw#H|dbWsdP`w5<=qSMQn0o!#N@_-2U38wKBko~ptBL6)yROInFx~p-#v@0um
z$#+CC=7fGiz*D21x%r#kO4u=)6v)Tz5ozU8w&+@z=xP}cLI~YC?>jn;+xyMla+Mq3
zE!eebY(evkDA(shZ>)*?656g@chs~*6VY_D64^D#KjhocWitzMVZ*KPF7;SPgF%Qo
zXw(A53*BP++f5D$&Q2;asOCwUW6GJIN9U>eclDLL#VHd
zs>k*t2cb46pvp`pGM`qF_Oaq&7^H?~@#C9;gkjNFsWUfbD&cM`>^F7h9y*Rw2ce<(
z(ico0c))4Rvs7pQ*<%>>cOweben
zO>XbcrCzgdztXwCNk%(emrM$m!{~U&m)rjUat?z}_1Mt&EG*;#w|1
zV*Y~8CO~bw#ire`l$ZfZAzhdDJ@K`r1t5p-~eMU1;<)zo(-MVifnz~yE?FA=ZY$jbdi{;kv
zKfhDg?}2>H&GCG5Q*ow0cj)o5m4%LFa`Ce70xr)t1ese}N?}j7gDoZa=K&#vfaR9BoW{
zu%9wDOEIBKgB`kdHPYu_+7o#2e0Ck|H&_4%_x+R;T!j*v?sm`9*KYqg2|(95Pr$UR
zVr#_s@q|a`!vxprEz(Tppku>y6Ew1U(KTtgG4j@6%frDRW9h}+gZ01OrquT2Ut{Vz
z_P%~D8Gpb`XFJMSAEuCQD{mE_1oxc+eqB=0P`jCA_!c5U(g}jicf`SM*H6W-O?3wG
zhvfvE8wX^y;Mdng%*+*3mTbQ<3u?J?Q0MBWrMsYH7foR=Xb9QLBT-g6MpQuR?+Qe_
z5MmMzRap6SCG9?24xhIi>tKB#^lI|HxaFcN7A;4eRju2}s&2jK(qzY5ejb`XfA8wq
zrUZQv5NjsbeWEqY+4Jw$_u$cjFwu^`Aw%f#Y}i&o82rY6vllTm0If>{az(I>^pW8-
zvcKew`g1646H2Q2d3XEC>RQHwhMR$j6CT-dKzX%
z=W=#K-)9YpgDfG^AR^aY+%*6-34j^{gC=`Af^gv#!<%@r1)%v0fmZ-liuDIKAx9hx`cNH=Z>T(}!vR)6bXtiw%Fbx`DzPvRsUtF&5(>*u}
zeHX1t#ffVT2O5;O__|fr+QK@$Rm@^~(!Tw?J|1KiEM%E`-Dsb^7CU>RY3&AxLyi9D
z+4Wz~Joeo=-oot6tQ^}X=9DVB&Nm8Q4dyE0M`)37%xIb6o`-_r(VVe!w!8mZ(dO|-
z8uZ+j66(K3D>QGr>iZ|7>wt{9#R=;OV%p)Cw+*j;|Du-sZbaIIX`4VWmnZY9)%Gn#
z+kXAP{W1SejnMJW-RGa`?_^GYNxL2~+L~yunUL`fy#I6@`$ws5$jYm~8}j7+VvTiN
ze{@8Dqe8IVttg&-P-)CrPTFf{(1<>!gV$`Q57gySThRmgW9$X=4(joyvk`*PEZH*;
zgPm|zLBwdhX2R<%g&?CAUBx}ohAx$X2g-G1gWfV7rR%y!U~)Udg<}O0x(A?;ByK(yLZ?UI5s91
z>`kr?t!I1<2zdEfW;-}`Qu6KUcu{!1Al_cw*2pBB^WIX|n336t~Ke(S9}r96BwFQy2ceU@^(G$u!{
zXAOGajQz)I`qrS-vuAf>ed5h-h58u5M(2Jk@EZ<
zp|QBFJpw2k-z?!=zStpwJ}wqo+C3IBvjDJ
z@*Jy2t6v}gE;b!_d8X{3bo+r9(3_m%Uk8EIu(=*(t|^nOkU}Hrzc0xnWJzFqzwUog
za^U(OKOs~L;HZ)$-4Gf8&j44g4TJjylLw$XbRrV}A4T^aPu1i90sQWLx%SqzXS!C|
zU35wJvYEQUA;wN0(&t!VVGg021CcLmdLk7DcL|8
zBL6nXRkv2DkW-j{Y*w*SSwrqq09KCLAh|w-rSo@V#B@U_IfI5)Tmr#tnKXl-NRVDb
zld)VtzCq}G;9D1@Wkf++{?CIi$0@P~=50yG&v+Iax>qQ#PPSFj5{m!nR_nAQ31*7a
zdHHf*@n}_3)$alb#*hNUhH%b`?2M%N?+Wvz6D<3c`6L{L4uMcXZ+-xvAORfb#9>X%
zP|aTLy@+5_4R(pT9u+tMg-nL(x?l*XOzFA({Bv&p(#4(hm<;V(c!^--=}UT-Kn<(ONM@@<_;@1NB}VQc
z`a0L~xTp?hi-0iiQ^QoXLZvtW>vD^xa9k%!)o5V%K_L(|d@5$QO(f!-FC9J%9`dVv
zUax8E9!=ZOkmw-6_Qdp@j{1#qd;)GUHvbY^YVfQ*N~(6JZ?)u`6OW#auHe%np7pnd>^KMbZufl!zH=p~B
z5oNm!pa0L}2Q>7|Yp0`f}Y4hK2_v}80(Qk8Nd0dWnUA9BzwuZgleMSq&-m7
zFE)q|urKmXD{{*c)GNCix|XzGle>XC@Am5iQv=c_l;Zq!qqLf&KHF-BOP3iIVvsi;iSKVlI`E=kP(kg*LdIZx|y!_`5tLS1UkYq}akG)YirA>YOKanDH2rsks}56!|5^Fmtf)kr=zc;f;EFRibcCz`aBOzU
zENaqGAzFUOdPc3#`^ga?wG{>iq@Zm%{JvvUh76<#YC8vHW+}qdq{4ME?t|a*$7AC+PzY_m&j3
zxmb0gc*hcWT&Nhv2VGkF7BHcp9SJP_8h@$aqBlp}Y7JyV1gHxU!Qu&`rjMUom6#hU
zX(G=52T*Jy26Tsmyatp<0L1RlRD?_7tlZo}jrFK^AFqNfr~^e86G
z#gIZdJxGuFwfk>cXMu}e#^O*zrH6d=l1T1T60wlF1JME@*4s$_6%h;LO63m7h0qS}
z>g;3;wvYb~q9$jghAE|@r#{NQVl3*H#de7kGI+5IB^Be#6bng2
zuj7Fkr|mnA*1uXbV@JK~i_Wf&0*h&?H`OFb{Ik;QAo-%Mg(a0mKG1@Q+xb2vpKPxj
z#Z^iM$`t~Y?bH-p2IPx@%E@X<)En|bB5)qBWJkt|*isXY;txL1kb~g^kpX*-UeW`3
zP=9y}#p`qTYUWEke+QQ5NPJq7M>M}Q`g%;8gZV+*b#*|YOihWdc02!^^oLQ4)K<%S
zA7eTH8xfsBs?RiIQ)C}Bola|B?Ek7XBHmzl^$m#Eu-u55=g8I%C@0d2m}=6+01SQ^
zZCIMa7h;=)l1XY}FrXAUQZYw#WJ{4r02CjgQAtK9I_xJ!?f*Ci_)Tt62WgGvA$8T{
zHuwnLWwn?K+40`!c6BN3CF}w~Z27!?rMlQMAf${B9~I?a_X5_2KiV~o74{oDYKpF&
zpZ^GA|Egb=OYelGY;5PZ=C|?@52iqaM#$GN!xwmvJn`&Ya)J>aB6&dPb|l1sdUW9k
zP;5X!U9C^ZSGWYkjse9=xhl$$l6Qc(9~^8S^|=^OtV49{m*h>Ts4^3l44$`!~@2Q)Ux@;{Mil{#6X9s??x;&0tLH#ME0Q@#10G(u^O`OIrcz
zM?U(*jr$Dn#f#4?#Mlp3FNyzK!){4qz4dWBsUpaffLSCf{szeA*o*1g<7&x>Tu}>@
z2DVEG%mj${o049U#pXtox%N`!&wPSquy+8Xe~Av{E7)%w=??$%t9b0Rh;URxCke4+
zDKQhEm~?C4F=50gAd^o<^x&oc;xX}`M*H56@`?=*ljA0d2ZjQ}htend4etw!?oSzb
z_M1&EP8@oIxwr8A&f4Tu@#9z8oF_9Kv)X|9#FB){NYzE4v^JhTTL9K1V_lZOlqE&B
zn#A8}g;e6#R6I198|lk+REm`T0l?i+d+vvqxA}!O1jziL&V1^%KMMnH69FI&Lsi5G
zVq@cEWA}ds-{GK)sN`k=XopTz7SdE^2b9jpsunKA+%HM)!&6}T)}QiTTltw>{!);W
zvei!TbX<3em98N9|1vuwhAI)24PGa}I=Lp2IMCn4?)!3g8uiPpY7N^}5F4
zQBB$!h0?O;+o0FfxUYs4!FXQz))t8-Bak(gGO?4xEN6F$(33eGMA
z%j16z@B8VtUbo{$29YMF63xKsWDyK_`ttwcr{95aLJ3JK4958}FX{eD?`J@KysU@~
zBm*VWsE=+D21@e0Mgso9jw@au{1{I-p1asIdxR4EW{zPn>=b;jGGy(0!#Gx+m2MTRFGk_?uK
z`DwXAZXy|}-_%zxpA4>X6`SKA5%ZkeYYMeq+&u&0l^j$PXMYzTdy|UGhNr)hm&&0|
zp*VoO8~}m?a1(mmI~T+AIU|{8l(Wy|koNhyuLp#n{L-o$`L`-Ow9cxB#&5%~>@Zw9
zXT|7O-_1G@6IvgU_k*+dPjoxH?B<-L0(5)WxkuGoXMS9rb9NZK{6NEQ(?dFCqV3D
z%}M}Js+|r^T@wGYsi_;|{es%qKF7(UV|)6LINGCHLvEHD_b4}g1CP*F5Bv#g~{@t6%Fs*;0$wSq3iqmq-Z4RX*OL~KU#
zNj(#EtR6SmM_ap67|Y7#}o
znAJVoXA70hF~KR%II8S(QZadFJ*_u1V+{s*;}cbhAXNZ}N`#mVkqlK{oOnIGZ|J_x
z&}juKSoYq1ck-ahoRy;d>)8@7-U`S2lC6=XhFr7FP{~2^oiQ6!F`*E#LA_90{3zqqVpgQbSRC4IUs|2ACg~4i
zoG6wG4AyB<@5{?+|86z#RxG!H109gct^j#*C#ANZ$GO%X|xs%xc!l&-OyAV7|m6blQ#UVJ!bW`)_5at>h>5VR11Ji_zNi1{>hl
z59p_osK`Movh*kV2O!!6_T4mhGHyWJTd1Ej1zY1>88;RhtBr&0Wpj(0@RY{C{NPY7
zGG{OuOCwjilEb-^dw`IC85#ed9S2}0>F)JHbUPo7A1rq&V0{1g~WvtdL+(=A3on^5WtF*jl7
zyEWupAaDB>I{Jefog|e}Ash!t!2unM6IS-iOb_pR>-1m44p6l3W!v-G&3@9N#Z^*c
z<&wis-RTyWx*+qg@&x~@0bD!iH5tRXw#eqIwioy6*WNn*ywYCd#pl|)DctG6yRgSv
zM{ZX04>g`l4j5!ysZThejlJM`?}&4~p=H-9(RJz`u-gS&t#M+3Dw^Zg>U+hPBg$BL
zk7`Wg`IEMiKM!cT*QcH;OMCCVqq=aH;pxDH`*1vI#L3NXvY2X9Ql=2OvOQU~C%yaV
ze(S)ipQY&IRPATp=Ld~`PGuM5<{5gNO7n
z;j>7N*Yo^yEVHy0vo>OX24uV|dAJx9JD?D8(WUoyK*ZbT=am`0pI^QYKeeeRr+89g
zG%h@4YjgDA@dc=EID2Q*c}?-sYngmPMQmbd%xUI%SW>KEr-FP=-{!bz4HS&t6>rlS
zrrg0zdF_8QwgG8)b+ywYxqrcU%%D$UxqvsAs{Zh(>sE@B4ChSe3kA>rU!0xIQmf25
z`mSwvU0i8kQ1;60hl`g2@5A5SCP%RX4(#n+|8n=sV4VK}Cs7d?5EUa7^#A>}e&c~g
z2=38tx3!6Z0cDFA(7vyRl7sT&_rM;|KUN&Li3FPiM(!FDfb;ewCV}847C-t(qG04K9_8OHI6bm71D+t!p^aQOW;$q(KMo$23y+0MDddx53RgPr4Fe
z{fTns6Y-#O3J!HIB;LLPsvP=>|6gxz#lx1xn!H#`ImVuj|D9ZORL%PHnBk^msl5CY-F0m+G8ok)rzbRkrrObA~TTL6Nbh)^*S5x9(Iz(@d~
zV>NLHUP#%mV@8EK$O9oR_+xuCMbWV_zN8`!s54xJI65|@y3NZ&5eHDc0aQ#ialgi}
z8^nYJfQR70UP&C_*I1xoInr+35+&@XU!SM|9{BXZL-xUmdP7;3;lj(xx~)-d^VBOR
zQn|_zm=n5BC9YzQ0qQc;o2%{;Tu{B$EPSBOShx_FQ$wrATPzj$ZP7AfEM$x;fkpP0
z22eM;>=lF@RG?^ut)g{UWf;%0HUmoB|5&2j!-Ei{ABtz@i-PY$R#4PAWO=^GYNg~7
zglZ^HT}FC84oV=6pbsIQ^sdF|P)hQ2S80VZBf2doey`Sg0gHU7(?(qWjzL76=D0VT
z$V{DYg4=R}Enisf$(UV__}@1&($?)s_WUyjB>%nb=Qf|L>24ahNe#Q6z&|TSs{g)l
zMcR5ya9Z7r15Iyrg33S1xq9F-q(|4z97PfjGS*8w8hoIvOy+h-v(CyV?d-nv5#vKp
zgO~uHocSTk{`3@sHy^_56R%p{`4pQ*Z}8-9o5(k~d~7|gCmpW%+%x3gl0_B5S=VS2
zuGi`yb=gEk-Gi&-V^fAZ*jJZ8w3l}pql=|&jqHi%qO8ac7#i78YFHo&c5tQc-)4kI
zR^;~o`e|OC&Db@F&kGaKkePju)Gi)VpfXOP#5@a|>+{+-+7`Z3#d_A)-sP8)GHXCN
z)#f**K$MYnb89uHRqFT5qkg;g+S9Ke4V?&k*%5TJ_jy@jx`=UUsl3(ie4Uc#xv=<7
zmZ%^&=k<5{|3*Xw7jeG8Aja1|^$6NQ;X6GFgI-K*@e^_ZzQ-!wsJh3&a
z`AtMyl-r}K#vXTMG<)uIk_@~Gf=ajZ3&V&E*#}gp
z+7>%kL$rN#fXu){B=WT_T00bG>C%}6EF;RmaIEeTL(5Lo3I!y=mEY8Y%CU6Q)M~yd
z6lFgD8EX2t1hqK$?jI(u;}0{)z*+3W=~_=_`852%yPTci@<+F)ROi+K8u7GBUlKU2
z;{sysM{4!McCZ3RIC;?Jd!;`cq`c-P9zP$9#Vj>i7CEs2DzsdJ@e_lS>zhy5@
z=fAi4a~qagNvo844YJ;|{ghqW)1>h_cK>k`r1{7(78^t*SE1J;pp
z6`S8<4JMkN#(nwbW35ZP|Gp)h%bGY!2EpeR-l0Q8w|yMy#Xo=F
z6UFZc^1Rcy$04gGK6j=oI^HVIkTsPQaV}{h$L%a9KOS)I_I%ssgP%^}Znqz$ogM7p
z#yb~rGdf;8?)aIgDAr_m`%{3+uQ)YA*)8=ONEDc%VHH<
zFm;?neu$AB_Ox1G68U6-pWE`tHf%ttiL(O@?O4L(G%P4BRr@D2+!7vXyPz2SIl;0f
z%=SylJB9tW&n{Tm?+=~rLS~aeW#=5+m*;Y~Z%H7EU1tWDlC(Vh^MOipT)SH-Az2RAxBg9Ro4}5zVQGGMEPi%f5NKs>WKdZ
z=;7$jlV@Fz-uUI>980H|1)NwtY1!;Abyuq#Ey
zE*9BKI0gzrZjZoEP^^atnEPyG4jVdQ@7eWD)X;#w#z(f_LfxeXmkBV}bkP1Xq9=q9
z8USVoPzeGc!UU%XEysIwcHmjO$Sf*66$i8CLrDT?px|@}J2A%30&kuo2bcN2xpy-v
zf5Sxji-dH{dn3jF#eR~E^`>Nm5WUrZ#%|k#N@hVTt{}1h2gt<#$o$-H?Vy;Lg`N!A_c8m_R9`v8zFkcT
zZ7FfW*;57Le+A+{L{)-9Y!M#-_b+*_dsfhwcB{JR_j}A`5)nc`J`w^@oZ>UTtEdUZ
zlWu2vPrKQu0>tfszrdJwd?Sz{yQ*!cIfo4)v9FyjSYNUog>gGj6Nv7F@U{$i8;#`1X-J`>f0)>bb#|
zfNu!B)7*OJ*nqBIx`z2jzrH>BGt{-=SwvElv=E-kwE#Mi#amj%J4qbT)HarsD$55-
z@i?~RBe{AfPSl)$lYxuu1PleB$-`>ni)p{P`0QeaUWr6l(R6NdC3DvhboBu^(x%TC8-W8kv;
zf}mugXJHD=h;$KM!zcqN|IS7H3xp0>l5eY_QwcJ_yh~TUp#&S~8vv-!`5nt+L{B;!
zeV2!BCZW3cqWK9bLf381{etap_*p)(n{wskow99N6rIPguVIU(jXok~=N&YV(sUxF
zsrff0x=VXbQ#vLpe}6_nu5raI^H8k1H^(aC@bu*r*+NY?{1)L_cNm9)m+Tb4&^+Yl
z;3Ha!Cr-SqvaP}fQ1?Li&=-6loPPp2*FLq~4jMc0IG*-ko+@qu(hP>(BAw~vz$Jtl
zFEfuU^d%g6kuP^edp7;*SG9;!i~`p%o$0*YZXa|gKm1RmlpDJxWkw!7*Kl;hQg^%7
zwQsN7jZR1k4k5zY_TO$s79bAI2bS}}@c?)({@7i6q&4|)0&xfNs6fA&hAe5YJ;sBa
z5whOhM70CZ_n%_kJj#A;8MqG#3S~pfNvLZ&t$T72RaE#1K4comRBy=>Y#w)&fNl>#
znQ9SN?>LiQhKsmON9~$7X1$*w`vR7vYHNB`@*p{|Ba~?8y0y!;9Em__b-Jj@UHAG_$gLkI8+H*>O@x@|
z6wE6Q7(HKHl3*Xc9_v3URo`~?yGc!`=dQIenKzJvfP{=NHQB~H(p7GWv1xbS$TYdA
z$qKvn!CV8O+4qWt^pLz*+_-%f67al#yVfh839|({XB4X>g{LzhI
zzJlkuD=OEs?!J23gmE>B>1m6OvY;V)59($38Tf^_)qG#RD&qzTZ3J%+D_io#ACj=c
zi9jhTY8e0*6BM(4UmF+)zy!BmlCV>3QDX^^s?KujgyR3=*BfhYPoiuAmMbj!C3SNk@H)KEA9XcB}2$-iQmSyT4v7f9IHV
z>S<0a+bcVocS+>i&S38G&|Osa&Cs2DeL&@AJmLf!*)Kp+0XBPE;pw`FBmz7~aDEt2
zR@9YrSP~I7h7tf!Cjsa(JUXek^%?~+0FgPyfl+vhy4SGn988Z8%@aPtjRs{4MRX*j
z@+vHwqTJ0#&Q_)aU*!1K>eR4YdN4P7UNu#+IzCFt2%0GG$7Gsss{Zx`)X$}^-U392
zR>r!ED?`Nc_yCe7*k>4+<~gKG;KHb&R|FJ_1E#Qd4SMvgdQIheHq0rXz~?o{54D3H3Ij#AIBaDT6{u~LpYBx4m5)T&%wc~sUln#T|-5>
zuphn9Q=qe9zT`G9U+CG^L-B+I{>9G84}1QX!ar2pS)I8TdHwvercJbOHBu;Q
z#ihXOa31eeJb1xKpX<<*JVpf-UPlz+%E)%on|2^v5XF6HI`b@qg1C&M4uwqFeOb}qfY*v&8s9ROM4Z*~y)8w#
zt+`m?tr}~cTTxLXvdo)Kcc;H8kKu%k^kYUEE1g{n=|JTh6Aw%K3vT@9aXD=h7AN}t
zebNe(WQEC%Y~IGxEFn*TRW27G&xzh<34-UaYFKycd^w$LBo%d3EBMnVGixG;L
ziO=)>pBENCFaG;1RQTtqDLk<1{m@J|kD%)cdTR7Ub`_$oy3GAA#>Cva`dV-7
zt^D@vUZi10@}c}#`pIMJVXWwr|I6WfDtcpsCq6ITaeoVK*Oxt9R~weH6TKHE;|+j!
zZD8*4(NBb%_k`$6`!Km17Y3#SZvxPLtEgNyOqAPIYKf$g;dBi41|QDgzz&L-cfRLw
z3eT{m>=F?f$xHGQ!r$Izhg)3e;IW=N%3L?Qk{t(N86*U>sL=MTK>YD<17{nHO{_+@pbOM1ZjG!s17;C)*5*R;!Psp&`JN@WuYZ^jpn
z#^&GrU;gE-!UtQ$Z?;NrY-Ngbo$Awe^Zu89Zfniv$(z0o%yHF_58;bVe7QJF55ti)
z$=+y_h^~p-@2&Dr_$Qw86L?tP-Ix!JGE3IeVXVoj+6d-L#-Sq&(h%_8^Fpq|ZH3-l*NQyUvuw($VYZ*#k$&0|j&k{ne
z2f#=h@^2N&55^{U^Dhzwo@Y6{6gK!B7Xsii(dX@}2`|q#IIGnYd>hCg=+5dg`XTxa
zdW;dIbD_6Q@~XVa>ceyD?ooRFxkYZ3DhK;>3QU?u3Z)`FG#fa80>#}qH;IvSCbGe~
zL{X*C;lngX(~Y1q@6cKxzRSfzYhdXkTuhs;I^tp0PP*dyxZe3<(DnId=ZcP4#s3`*
zYjMsKtNWPVRt%Lj3mYDECLAbIjSN~0g?o(6usFfD?%f6eN@PYa&PHiE{q
ziZu0}mjuYj+?+Hqd2BLa_sXj`SVgoMTO9T3XHdjbz}}F^JZMnxOuRt`mfQ_slv?O=
zS0!!c5qpD=z5uLXy))aiaN4>B$#*_@)HF+4=eu$|sqi+gXq@yO5WSLYLT>&9Y2(j%>^(E6++
zRlb9O*_&h^M=*u}S&FR;HNl*;T7P8zzwo_IzH+jjR!X8B-(uh1v#~G62F1NSe(xO4T-4}bhsS)dp=+)=qN-f=nYma|dD)1t!=4LQKmT;tMB
zTxdBLNgb?0CY7G>98!L77iXnX(vohiu2}Z1ulofnIq0tb?Q_SjTP*yM1Q5rA|U4p!$(a58Q;gPl}?hj>N8wBe?
z29Wl6I+oKnbb5#Uv|zuG7S)9tR+#2PY=&LMQrCtbti34O*T)U+-*!0OgewH3E{ofU
z@<|AJZs52B+PC%bckl18Mdz>B6ab^EpGVx2-<|b!Ch$n@dxPxR??D9x*z3CP7pmAy
z*XH?}DSED1$z*53-g3oR=|c1CT!5|^w1M0z3hi@1#<6Qa>8Ap$9(@S(3gEg|xl_yx
zpf34?&k_rga;dyI)4b~vEJ-zzy%a8q
zNN={Ia+cL7g4!8j#{8kU2!P}Bd4AQiFZ%zdb?t_B@NH4wuLd`?pxj04!er)8O8DC=
z?%v<7HVh_b7#e%IWBjLz=f(z=-FYQF*%qtQuxk-32Vo_R_5&Q6)Z~Vyj-?((bq69&
zANmdYQ;jbU^oW;zUKD%Sah*=Eq05aqE}py0E%8Wekb3Rg}0&vKE+$Z<>r~Y++Vx+bv4dhrz8aG*P_4cN|jU>dLRzPw@6)m-TZgM+#7Eo
zna0aiT%#h)`5+0B(85&BUi?a>%$Zo*^=+~0)(fu^e9YrCmor)j)
zXX9d)vwS9da$j~AK27k8URW0MR&Pkl&)mcpuR?DtO!Alm?Hkb7<-i@W_x~z?YWhz2
z-Rp`MQ
zX6_UEH*#7VqXTzf)I&WhwwB`)CRW6c|D
z_NQk!IQaL7@Fjdh;`HINb~`|J@(!yhIanu+_8$~$^0G4CxY2iBw-DB{eQ5o
zebnNWGq)DAUz~R~1@xml<~aLCZx70VqLnGA!EPV~D7F0;qPH3)ca7|P%c$~zCzCF7
zbAzQHKr1-xc37rHFsvjL=IU5*qu<=nynLO*)Uk;ag(qV^c|ex}AA7xL!6an}%g?A^
z&OhZeXrL$ltr`4m53nV+u1oSieeBuQaHHRne`Ng*R5Z`>K#u#OCiE(RrZNTzk}WSA
zIj=OH8LQk|$55?$>=aui!gx7}JOsGlmxdY^Z8S%$1oz0q6k!P@uoYhQ$QUb($Fd-?
z4hxuGV=WeayG*D+c{1?G#=U}0h%6qm56|>kgB;w+ge6Ov%v=+jJ$gSd%ruk?^d*>t
zkgHU37#f)jC(f2sVK
z%Y6(qS48r!4j2Ws8>vpCIe0p(X(X&?-!cr)3eL>+%Lkj_SiwB;_>f#L3Zqi0*yMt&
zQXf+!CEEjlYP_Ze(`$jP(4-A$2o?G}l7%|Y3PV6W5MY8lXu7LdgUHa}mFRCd?j=Lr
z36L;4Sgrt^P{7dIx*O%#6ql`Prdj#>Z^c-q_J3B`7aUEG>2glbZ9A(99U#But|D3<
zcb4)b#l>kbD~S<_}r5gC_q&tTOZI%5i7Rd}|xb}P{DdLWMxIR^3Fs*0e(
zq6Cjql=kV8K)VsFFg92&)51v?s12Z-3hXkuti#mYNa8~qGV2}+V%T0!ILc5V?9Xe>
zFQtJD$zX5Fv}yEA*qjJ*h3d_fl=?oX`q1$rbblcCX<$mtMYI`^fvx_%M=xP-cIwS*
zN(P}d1s~?eTh#y-@=%a2HHHWUfVM0Wk1>8EeKw9Y8(%S-&^(*iJ9~6w*5Eww
ze*DCtNhRFfx=MC_8N1-2+k>5e(P*zxU$eXKHbq$rng89jY*=uSZ7O)S!9(tpOQ_xN
z?SE>bE2QT}PHWxw%IKVqZ=H4+W?JGIUXK~y0?w0K2Ty6hSKC6U0lR6^OalsIfBEHz
zHC7}(_x$F$MYi11Fe3p4)yo7ssK8?5r@Z+P%X?zQ*Py#C#8V~4lup5H5CK|q@}+H{
zHx!zug{cq4ujKDcAmElRhwk<_KgG6$|4B!ENg)VX5hGn&BXtA7@@$b7a0({?w!U7C
zwTH2@V0>Ow2~-&09#gz
z=HcB%ZO||(G&Voio5b=EMCdji@?k@~DNr8{M2||>BEEQzPbr<$4(w;UvYV5r>+jhywHXqu08=BI`Izfb9
zTUE>3E>
z`^s-K*}-R*6BTS?k22)aicg|Ec`-azH~pCZ?kA>)CU=rd!ZuizN&6yj%=28k5DwG{
z|M>JH=*L!vMd$kTOju!pZNx^U1s|+5hb7Gou@AuK>ZDBnn+Yw1p+gI2u+!_Y*$+D3PnO1~Q=J3+8A9HoNh_y!k;>4+`)NyAJdLVYD{<
zl52et*y@p{qF^i8I7FYP`rdd>d~B(|Z(LbXQP8#-s32-tilip;;L&92^@Un*sj|VR
zI!``>%;(POlfbd6#!I?OajKE!RQ}CNRH+ir7T>4Q3w2(dJ+j}zxM3d6$UD>SWk;JV
z8_TU-8ea@~d5z}>il3@@pj0`qvNY^}Z|{!9K8tvUz!?%cSFcla&PMd>y<--qv%=YQ
z4Jv3w1s1f?o)N8;VsC5gQcvX6&l*7Y;utEK=S?jZBSK*DYmOQukWDM}@Y+};59&!>
zF_53v;p2P+%lj+EwTU1jcD?Qx4NC#;C4()=G%*B2(?WR#5Tdscy=~6SIKeu^W7RT2
zFB-xMs~`OQ^CS?s7dI2e?db?#*4M`m@~K;Vet1utK$GMaLc+Izep6z@w4TfAG1n1jGT|fLJQ@
zb1W-R$o#2kx}P1gzO`cdO3aJI^5!u_|2mC18hj0~C7K@QSvuCLDGPHAYY)5S^sHWC#HoZhzaZ;G7zT{vK7g#cL2{8a
zESYBhhKgIG?)#2?gJ=3=z7Cw*XEuUc8E^;^e$hEG6)cMCVhe27g{L5rzwH<1_b
zO-bKRrt45w^Kj$r{F0rX+qi{9_r_10(6=U;sk}pxt!A%4`OJ)XcpQO>yOno9H>IQa
z4t|>%BVcF}-zn)rTv{2)aZLYssHq!Wp9oFG=OqD{imhdSf27qCXwHCKyEdRYqF8lD
zpsu!O>2G_<=?8Z-)PZ(ilML(;7*^?1BVg^H`
zWK;8!<1+$6;PG*Q>q|j*J1_x6m_;kyfJAdx%W!T5A61gF6;Xmp)cV
zJ~Y~b>CE19Aq)~th6hwbVpEuVg+@8&-kAWH=6(My90uPz0s7ZPEhceW${S@GJpWj$
zsHuJSQ*ciErz6?qn^mFW;CLpsQ>99+j`H8PndBznH&C7hNRJO@%l)#pKE>%*~wRF-Z3-h*MWe6pw
z6Uf7jIIvK@1_4(CK1hyu$Y^*}tJ`|~)D3F#9&cZw_vlvf!pGS=TGls{M6vuAmCi%I
zcE8+vRM_y=uO~jJ-TT)!XSx#*2t`Abh@dYEYEY<{B{+aQK!)jRH^$pLw}%+IMQMS%
zot)KNihqTy@9SU}?s|1E6d;X6+EQAJv%v5UMY)uhS1lQGMGGwlR)r)z#&3&ntK(Is
z$G`lwOf$5)w8k;HpDT4Y_EL4VVKfbDS#(jghY_;Qxa{0K`fq8*s$-G$AbF9wnOnU$!eQ%hk=UOx@Vc{V^ycI?|#Myy4gP*0nzNWt3jGMS436cKXAYn
zlm#&~wo2taMEMaXm8HZ9z2K9u@(EagGRf?Ij2IC}O<0EaoIkMl^8#pU_hPZ%W9^p&
z(xmw-c}Hf-1rO`pz0d9PpmKRVz%fN?4|lh0jM`Hb)Em}|!`v_T^Wt+pkG?qEmkez-
zYWNB33y#=Q?UlP3-%iU7J}1_9_;iMIbzG2wq&asdH@-(rPMTzR9x4?nP;-`#+_Fb&
zC+7g2Wkcm9L{99de2r3-Gn=dwFH-8NJ`dAYvb#5D$ZI!`zg)Dte{8VW;7RpNlS4k!
z3~f*mgPbtCH0B`buECmFH8iaGJ?TMc)4PCAA}qnxv&QVBeA4Da)#@{s9!dMV9D*i9
zgnxJu(f@1y`j=Dd|214Lqc^S`j}-E;_8Q-&U#O%2Ita9K})$
zUciOf{kQ7xs&c()FUqErlu~N^euh$FkuA7@u=vF>ao^XN|14MaQx6!?GrRrIdgCcq
z=!ACap$>13Rv3SYF*jt}pK&se3kpdp>5be8k@p*W9{xMhIWh>Rn7Qu`*!1Jqa2J*8
zuiMBye*@=H2AH#bM{UAkq?phYn6#E_d#)m%1l^OyJv+MOFWpaN8Rc*tE%hCx@8R;p
z`y6DoemGkq9UGOg>oKFcNv{j?~~n5KGs|-t{=+V9;M@-mijlqzL6V
zoWZ`1``GdQU+n2`#)U@ruv3&=4e@2zklyIy^Q9-0Wnwk+6m	=$8MGG!c9!g#b$H
z@f(t4r-)JV!MK-e_L^f)v8nCA9hvnINA*Hr-Ya>SvKv2W!$Hr(x24%AIx^xme}(x|
zbQ`;)AZXMNfZa|zXLK`X;`9bsZdICPkh-ZV`&viMM#8Q7>#56sc!SWq^kxUhr$JMd
zYK_jcR>y~;mXzSp{YoT|2PtY=kmOqsiE)f`$adBlf2rlz?jT90T-bM6^GW8N!Q3}#
z1!63kxz9%T<-a{l+2Zd^4GvJ(stY9Do5w+p+&De3ASe4y)K;C-*^rav!~L5!djHb-
z<7#|Eeu09nr3r)
z^vo!Riz_)wANZhg
z4OAE@8}rsx!=1E_-u3PQB;(SxVyl|rYC{^*pa=D)0S-{`5f`3NgdCZQU)ck0ew;9h
zQ54Lo{{3&Ywqt@8q;djC*slM1;uE;+_TZCgA<$R#Mn3WptT=QnL--&Cmg><(ueto!
zfP*@H;e)2oIQ55t`yF^OE
z%E@(d-r@ym1L;W@RLCX5kY2ge=wVU_gtc{oh)@Iq4i9U?Ao!4_UOgm9wNv=9E8CUtic!H
z4jkyg8_)qIfCwA}n*@d!i_t}L)LQryh_8?u!BC#6!I=kUSHtDaoW+NofmFr4kyrIu
z=#8EW4u<~&3|QpU01eil4c;IQ=AaJlAP@GS5B?w!2B8oRVGgzcfn^n^T^yc?mG>MN
zcIlk(nVPEA2l{vgpu`&S{R#7t8HQ9v{j>qV7~S;!mWCu&?2QE!d`&1^0vqm~AB4es
zr3`#Ugo*G(wP9NzxE~aJK}8G#{lNk#08qpL0Th6N;xPdph(U?SffO{+85~r}Fo7kk
z!A$uUTZu)7&6Tf>*oviCT?L&crqM60#c~W2`xHp!MWNt?6PS;`B#paOUt
zWgJzf<)SX`A}{u$Fa9Dh?&9s?UJ_OupS2QFq>*x|;u?YAgmDzUC!li3mcFrB)ocz$1Ra6AXeM
zV#G420w`QTSY(HBr4YFO0ThrN7(9Uy3<4q0-!Omz7XTy|P!Zesh{VK!7L3i5umJxW
z%v2XBBpwvrP)H;hDirhSOL3hd@l_W`8QfV-C4|5ao=gf(%9YAt;^g=l$ITH8Mo#L{
z9%`nhe=QHWn2XE>&Vf7_?|m8+Mj?Qpnpq{+Tp0%krc1iO8dYKuHo}iDIf@u=Wf@u@
z_AJL4N)wLU56ZMvScqI2Xh9(G1W&{P695G?MZpnZ0+#UOFm%imQ4tt`Sy)s77#M*O
zWQ-V$jU3d-P*gz~_yHaufkNgdnFS2C+?sGQUvMtUT=d5W!kHPFk?^JBd{7iuYzGox
zp+g+ZOT)`ET!5L($A20zGK!Ksn4?|&KMapa!^~DAz+!WTPE74iu
zyhl+sn0;{Gc4^$De84rt!X$VD7i7R8WPrd%PNY)7CTP+gjl%yYltD3k0#cPxeh`5(
ztbuyy2YuK@EOJMGt&*&bqGGv9CBpTbMIwd2fFW>ot<7c#dF|+}R^NRY$A`q!q!cOB5(SP}K^Guv
zmT1H)l))7!Wb8RDD1l|fd<`DhKpAK)la66p6_dY}fAf_xp0q6lZz(XP+K{}j6HEhEu?Cp5@=o-XAFzA7(=|DDgLp6Yd!QR3s074>A
z4j{w=8aToz+(NfV@F5VvA+!T3e8M8=K`eZNBe26Q0K)$$;KCuK?&h{!8E^{?cgq@J
zi-2Wnz2>5V8Ka)bhoM~IX4*%H_1Z@s@h!z}e_~{wY~wIdq?`UO)FE9-S|2DKujc;h
zGvUa|bqEzTZ$(6DMl8cCNG%pPZ`0m|1D&x!h3pi#OdQxiSd5wYmf4M#uZ^ZE6|{k7
z)aeMSsLsJ}{G#Yq{LP;R&P(1e0mMQzi~=e+axA0+J#+&~4XhqvBDUZ{F(^+BRD(Tq
z1Ga!eZ7>oSRKo+K0X<{`IXv(+u!A?C03fgfvTV{Q!-FXU@FY-L4AY);SO?(vvUXrq
zDp|nj{_vj;4(7$Hop#in${C+I*uNOXp`4W%Vxs@UYT_qOAc^Ufu+@^tYN!$eC==fr
z&h~DWDhRJ;aTX)Tdo7+?l>wA~+bd{9AYQ>41r&of$bb_Z!Zn=3InaYM*akRY!6=Y}
zF#rM#@A9S1@V0D=4TlS+78p_P=`m_oEB&z9J|Uu9hQH(oGpFkm${P9h=v4WQuw}D0
zzxA)F*e+cYa8MC8_*WK|M0RVLS>
zC>LLJ?14VxO15v>ULNU|RK#JJ#n~@pU^E6#011?~1zZC%R0B!#?OMTsF~mZCj728{
zi#L1%Jm3N<9KtBXh6%I-7qEj2IKny%M>o8(9soiOkWM=QgW!sTBeX#zFj9v?wWVRf
z@zekk0Cfvc8f%KE1?;d^|1e8#HDW)fC^IAa@IV74YUKAJ;$*zxo!fJ5(
z2b{_%5-dmv+6zUAk%;dcEUL#c-5F>vfM~Bc3AA_y7=s=d!)g~WW&q43>W8WKfF2wI
z;hqB;^Z?-Ohs%9JF`UCK=z#x%90DBZfUyHYP>=;60K#;5`R3*@R&Ta0@*bYq3wx++
zS9t0O`thnJN~tH~{mi#RAroF)I`HCqw_at^NzYesq{a5`@T%@wcp_en7=mj=FA&?q
zm|da=+gPK)61;&W&;iwY0n6xhtD>r#lCNcIc#Wp&gO=>786O|3YS}&^SfhKKbG5yW
z$GlRE30mGq}s1xW^n2biLPqJ=ll6*n_=ac)eJIVbwz%e{{XOgVCufUu@pbz9@yB
z&^=ZtMVjWl-tRr%_x=At<)@CI^L89m>m3D9cXZ)^Jjf(ZpSS$zyy4@
z5`L8rH?xIF6niMNbgeggL&$og8KdxbP{g~vOL32Ci50gFt6hJya
zydp-d*Bduho^-*2g-XMQ3mG=7QiTeaC3+~iFajk?6fPgja49pg3>uSYNS-vghUFSG
zE!)IwIg_SKmnZ*8lH`KrF+K3z1nL)*5U
zUfE3yfYxKPIl
zr^--5B2r|jH>RFKDz(>;Owu&h?n5mop-ux%N(UceD7h-p%ThYz%5YA&=%Ulox-gH6
zP9ZFwc%r-S!W+*ZE0m~WxGX!8j|ocj*nvIu^joO5{ji)8H`iz*4YsFXi}E4i46I0`
z1s7E5zyWDeFfcM#ldUQqb?iZh4b4JJ)KN)|i!K{$NLAHUS#8zTS7D7+)>&z-)z({a
zb+twtC9{mPPJP`RF>Q{STx^A~B(
zuG!|BanAW=8BV=1$E`ZOOev>=48}rjf-m6xYl5T3%+_$bBhDm
z+i#6S1CFYf`_J3G(zULO?f4i36!66BB@;J{@FEI(ldIDTeb-omy(@9+Z_p;OzO6Q=
z6{h%5Xenl?(A1PNO*0-b+o~vGB@{MT%@sE-zu`dUkYtigrmKcm)md-d_1FJl
zk6rfHso)th$$kbaXs$Xl)+H=T%ZxLnoR|vH*^FfRamcCCR9dmxSc8kvw9Z;k=m7m%
z`{t_7OZ)GUd!k)3zUw7!IQUTFyyC!xs0uI2umTS}zVQ2R>$UZ*a0e9~4cbgK#kfL2
z3kz+y7HODeyopI{XbdFM=7M&iPl;}HB^y=Rmw1En~T$pLj
z3C3UUkyFFe9p-vqMz|cHEo~`)sFt}#b-@8I3<`-8bP%qKfkr1CyXI4&dYF-D^L7>h
zo>eXrl^~&k3YH00vRwKwm%31pgp8IIU-Kj`5Jgjr+-E~}^2q+^aFSs%*9QOjL+_!7
zTn8N=5tl&>Oz^=7>%-o3IsyeK*dPv+$bw?KkVN8iO`oR$sAU&vIKy#qmM}%wgQ#F2
zBN>V)WQEWlv06EsRtAE_JPQdH5eeDOHWEZI%L0N56u%&06vn6;gQ$>*W55Bf4B-L_
z7GVr$5LX98i0X5pyO*i*Dg(SJ$xCj65|NlBdOVa?7k#N(uUh{IX?+~vRFFrggk_30
zOW{HryhKaU0Li
zQo;t?sX{8LSD(AmH?xMTr^4Ln&O$lYfX`x}3zOEsFM`EKKC-E62`~zJz+=WWrpGmI
zo7*_v!Whr7&NlRc3L*d^D0*naD3Sq=L%akPjnHj$q3l83ETRpGfI}kMK;??a@pd>G
zuhSYPB#?|`CfKbBPB!L~!_CIDD^zDnO?t4RP+<*Y8`O8_Ydw($YHR$ll77)6wsFNK
zOZ+XXP(hD&?3&l`@J5c+*i4U60T;#qi4y<;4rgQo5a-|m
zD#QT}anPe1-q6E2#L6YX
zJh~TyJ>r?rqaMZHi4O7Ev_}8k>7QV0%_C*fXG1!`^%k#b=`Af5;J}3jqBN$H8y>7%
zoFNwvbAq?Mbu40m20-XR4}gG!Bb>nixae3fy;=W*F>VpA9t2|@sA$J1#6g8kzyll>
zxP>>o5sP*#U=-x2LASph_ry?{?pbE3NT^Cj9C<1$TV1PHcSl~JYbGgq{?CFaMX8r4
z2o6TpN!MEAKjv|9zAFcq!WAw!%2tv&T!^?{%VkMLUy=$+$oR(LHITvjz_9n~!t}C0
zi8h3bYU}M1lwo
z0UXMJ0UW^_w&5Js0U4a(9N=Nu%3vGPfgK#72kP(s^iaC~LMI-@|EdZoSVHHrYUnD2
z@QTE=cFE0-M{&SQH9~`{+KV>Yia5sXBoeP$EbsyoF9ZK#KNy10_{=u?X>0x|^a>30
zP|ymvKn+kYJXDVlB+Xl@UH9*X)6elQ#@Q)NR5hsUJ
zfXNA;kVDSGEDGQdwgKrJVHAuhjp$27Uz)xPaUC
z@EsLHsj}(+B7*}&g9vos-B!yhmgU3_koeeaDIR1gphw~o#lD8|)FzJ-&1K92#LQ-5
z6D3k2TVnA{LL}gTsK(^auIJA#={Q(X4b&jPRBsTVAR+z*BG_XImcSD5zzM8iB6d+u
zeo<>!>CV=yo=!@{Bu8Of0tjnPd5{KTSZp7^LZ=kq))v7TET9d#VGBou>I&mJ@B(;p
z!z!U;Mm{4C;jt?L!wI%&0W$vp3yd;?lF+=4ka7aDb55g%Nb6}F5$5=3mR!!%WNEUF
zBU1LQ4fG)5C{iY#
zmZ0V)U8$wkX>kyU)dr}5tddy53kmsXrU0)jy+WsssQ?-Q5Z)pdZs7o;(hChk1INrS
zs?IBcQ%1nD%UaVlf28M%Pc>idACU)Py~f~5aZ4?dw079kckp=3&DF3_!w5-m72RJt64I2Dw|l9TWd6f@S6
zNM?i1qKDuf(OG=ZKkJKdf-%Dis#_`|;`}LKrer$eXe2Pv%))aM{qhYQ?QH~N88878
z%+sm%V}!(>9)E@@RO~7Izz^X&9^22L*(a@^ok<`Nr;HL}{lSsuw6_7M0{Bj~wH4FTJ5||)K
z7v%K{bEFCmN$~%tQEdr2W$s~!;3Y_dOb1VM4ACfIb3{g^Ln;(9a%EYWwOO6@S)r9y
z09Egt;6s502@Um&N-H<2#R!8?X^t_aq=g}Q@RjhV^D0$`0PQ2oWg<-P3O23<850x=
zi@+T63%R~Z#oOY16<1xRoyM1hq;kmf^+RZT}E
zH`S;HbY^2Ywqrf^V?nlNY^SQK)mkwm0UMS~p#qUoRIHdqG{LnY$hBNO^K*)$QctkZ
za+X~e%?hqy3l!6QjFest>vPltA$Y))hCm{ul%uFA-85$3{#6ryG`rG_Iy7rVcP=@Z
zA}Cr)jFSJ6S6P#f%&7@ovsjJwVw3fBEM`O9){TZ@WPQeDPgbUY^Tmaxk+d^93{z)s6fb$UIN0N76|+rVVGuNJBCLjgE({8+Kng6O4TeBI;Im1n1WWmA
zN3W|UII$DYvq4C$G@O7pj&bmwqK|}WSXT>ek+pV{^)B8vci(76!g4a`wh&!cIg95s
zrp6$(YMuD@KAK1O2xfmeEjMDKDk*Dc^=n<(H9fDOam51`AQy=!Vryj5BdmZ90s#ze
zFebmZT(9(`cJ(!M6k{S~0y9xas^w|{WhV`^IDhvj8T5=oWtmXG33PXW*(jTO_e=*h
zVio^zDOgtC1QIA&bRqo~mTFdgu>@z2!+PgxdJ`8UeHLitl^9-uXf>*EqCg?4AQ14N
z7I{KS4by^mPbd3!H3jl{Z1y9%H9!e%sb3
zQjv-IVu|}O-Oxo{2pC2T*hBYMVimYEQ1m&FVp#gN@LsC$oF^D%7#IiXkSaAdtT$&(
zv7pqHpR^#oO}T-=yb
zuaal2APU@I3hcNSh&HmO8DHiz_QJplHjQaPH%l2ZKnYnG1(K10E;RBN32};dlF^3A
z1wf(}6U%@sLM0lb5kwpyPCMB|LfHvE0T}L1B*g9-oZ%D7;0lvKtCE4GTHp|hp$51B
z7^=Y;oNRcfM+Rb{5%6%9N5K)wKtiz~rJIW(!r~b803QKiqj#Br)6A%b69D%&n1TsG
zFNee)R*Z(POS|+%d9Z>B4Zdus&o-D_s98ka;uNW{|8xYpOwryKC)J>Rs+AImRfoZP1wzjNa*1q(ad2h&I
z8dyfD*oja6ugOKnD(i9KiqK7@VQ~#95eJl)m3%#&c<-TmFYJKp7e-s$~>yI|g#THY};-uJ!UJ3>9=
zT|Mp{;JsVm4gTQm-QfRyA-35KKp1WY0u-!ZA>>4IJ0iUI#*}Ce3Y;J_sleYsJ_^Ej
zn;ECF+cM)fAcxN^F1F_bs!3QAPPdi2fQ7AlA!8qfC2W7
z$j4M!e2xfMR!m`S=Sq}C-+Os!_S5QYD5ytE1%>4n&dohdOR85Tt2$mGUWAb-zea;e
zk>F0^fc8G#<7rmT0O}S1l1Zaor|Sga-%}JwQaz
z^hm~z%O`k;Mu{V53>PXC-SlJwcWxVsHC$@iyoocX&Ye7a`uvH7OHe9Yh}JCQ!~_Zy
zG8RlA(j%(WsZ^_4ok}FD)~#H#IziK>3=$$^yKY5N7OfMsY}>kJ>tyX)w{h3TRZE46
zle~QU=H2VpFBU9)*T6vU=NdoWR_<}KWwnl_(uPZOv(&p@
zy^dX~4g~}hEcjkP51@na+QD07p%?@24wnC-Fww&3%{FMTl(9*rOnok8#C|e%4lX);
z<%k}{wV{U|PUrwfBxTf~MOaL~yZ2aDXgAM1CD1vBn~LSdrgPDz3<4
zi#qkk-+lbqBo=&3IR#aAI%Zd$b7ibSQx82lhgMd{6_=b{buGyxlfe0wTwrp+#+ws{
zi6t48yeXF0mVH&`m}X#7rkNE=Y~h9|qL5}9F{xeAMHO;VS%nXHP!b$(diGYATEb09
zT$6$-7hID?x;3O(WwhZ$qK;;@2XLK#*j0SGqK>Z-U98p*Mbu{Np>nx
zSfEA4D9!*=Mh`_rg+xtA=rAA`PSpQUD-u2Eut+s}Y*-T&wMrKhRK#InDiyT42yL{|
zwpa!cO5HetuaRy`m2+Ly+6GN&CCZkOeh!Lmx=bPgT%JodX4jr^T`An2UuHI$WV<~U
z=44`CMy6#}SaC&Yqmf38n`&$!XTuHWwL}qt;9&(6x!H?xpLYSKWT5IIS?IcSO-C+S
zVUhLdklbdsU3Uw3R{$V-I06SCHZRgf1}`fx>QeDR3u9co-q#2^bo1pi!^AT4H=J
zzWV}9SzdA~@mZQ{mS);3Td4n$o1A`Ek=GDlSc1nC7VCz$+ier)E}=&vr+IK|w}mnn
zZBSwMT#0JEW2N6MP{1KI+iY_g85r;#&+ehn!m-i@B@|A)A62yP_Tl98QB)s~Jo2&P
zj%|*pW9KbbWG{+_u|}rM73f5EZSLpB?FHzQRsLBQ6<1as=x@V4=G$JEfv@jyjx`y7
z-+z_wgd1vz#%98=xUq#OB!M-1Va>pX5C==};0cpMUvHu$zIK7nd!N(XTChh1AaM_a
z&U>C!T4t#Q7=R0n5Rc8^z<>k1>}5S$N)1wUw4})pM!}0=4RaE_rWtKUP@5r*W(dR}
z3UP=;ETR#Uwk!8wOoci;y~*kF+G1Smk;*-mwu6QdmMC^fkm&5b4@
zq}D7cSd3ZHW2zLHzGNveU+PP##55{F*iHcsupS0{N2j4$-A)xCffNXJs4~z&4q}Pa
zq$+i(Ol_(vYamoy)nEY@kWRTe=s`$Dg$Q2>i?2A?qmaeLNK0ytpWs5MMZT-797|GN
z%5a!Ms!wmjsoP>;Gba0COkh-S!xhxTrou6lHH$-$4JhFU8w`vJj4R}n%6cwEqE)Si
z;%c9?f<+8EAuK||;8wMINvWvLr=%^d?R?gP8aUyItZl7pUklsV%9e;ukO2yUGF1+&
z0S&y}EpPvy#xEp+_9{^fm$SN;va4nfQB^c61v$4dK`F9HWW1YPxg;gOEGD@1>y04;
zW+poFuYbLuV-l3$8Yi673QynxCE_pyidHU>k5vwm`t)42Rk3>{d(@&D)!!a{7OR)c
zcYzvl6t1(K
z?>zst{y3op_sK95r$S1slrA$u>5qxQ0tYyROT>&ev4;n9*)(_7QR_O(TkMjgOJ6#=
zS?=|*I^`XIr3uzpKRu`92dA^$<%z(
zQ>f)CM9XDgS{C1ynFw=5cbl#s9@6$1Zj
ztx_4FWed1%^ICHI=C{M0d~6aH9@eB$LJ1CygxsH?1SKx~NqD%00x55YyLiQmk-4u<
zBc1RLDHnbaRsVd+tSo8`&Z-Jlp^}#MNv7WSo=~_(+-OJNM=>Bnj%A09caecFd}}F#
z9?-yHhD+(;ZWKIYtI*`bty;-*;Da9JL|Dcmff9Jg!IML7NW2)bzJ?O($@88T;cCyu
z&9yspumD=KboSZTsT2pe{hp=R)|S`mIedPut5Muy4Zm|jBw~RDG@#-WJ9dKWh~SJ>
ziKP*d(A6Psaf`fMs0`2nMmB<>AR!B7FGZRDUdm96?BgEmc&78ug_pq`t+yi%m)j=_8Oc;0%#K
z1&ik|{VtZ|a9(
zUl(>{6EHjPFMIMDO@?HkuqM5rioJjd7^iXEgn?FI193nJOrQiPa!wA%d0k|Q1_((4
z7fF@0TmcqVCKD_72PrQIb58VfkpeLk4(9+4
zx6qE~a1G+%4Y!aD=a3Gl01k&x4d6fyxbOpXCWm!~0_vA;NPq%S#2@L_XH+#dP1IFu
zFgEVyY=TCJL(*SjW@*0SR-+a}`R0f>sc%K2X!ZkHg8~_0#2Eiv(msZVYWg#Qr@;q~
zX9VaZM^In`cVYujfQxoxV+3b%To!u9R*1yNL1U3@Oe8(Z7>KO*j5wD8z_1Uu?UJFbe131SSCv8ZnXUuv!^uXJxPma3CQ#
zBO&=A7V5@+V0Rt&w=~8jh+8FyUh|vDH7;TGZ(EU8XeDqbxIOOkJBDU&aG(c@)&_}&
zlOg74LZON2qCUbgiiO7~54bo@CSHR>I2Px4P>>fzfPw!`8BvM_1x^r8Iz}ZW$4DBp
ziv)+9F!mP5Mjc2%A1;`TD+zOw){M@`9S4vBI%fh%&<^@Q4|bR$C?rLk))Ku$?{HXu3brCqEda&KdwD0g!Cd1?P;c8L7h16VLR-J+Y_0zKP8DczBv
zxbp$1pbz+<51&957VrUa`5r%WbfXXq^+7Z>;0(o(AJ&%*CqWLe01v2;qMy*2fR_&K
zFan=2qPtoRzJd$w@DRX24(k98u}}>%;0)rhna+?6>j0VE00`AU5wTDM7}=x|rgXi-
zJNDs`duXLw^D88BGQFviTIFJ3b*a^nHdmRPYLhO>)&^CHUt^J0+XXy7(tpzlr_%X|
za3^APNf@5`Jpc!jpa(jz292<8gkc|%;0TAA2zqc^zH$hYKz8MtkzB{F&VwsFGIk~T
zslF+*VfteI$(3AlvYSSNYk{V4kOU*!iB1B7S~hTD!lokTfB%=T)Cqt&i67XdBxe;I
zNniw9@K@y73xSFWgOG7W&{(818*i`!4G2ach(Gv)Ia)@aya=&&S9)gwRy{xkaDWA2
z8iSZb00??>AMgpN3J;qA4%OfU#t;lZODc0&6ZS!_dC?zyahO6TBtph4M`0}6w<|An
z6g^N>%)%>#p(~S813_`6;L8O%Py_!&K(1xLuSvM8I%BLym;VOnFR(={y%
zyZbsa``fpEyOVz*Rt5ZlyU{Vs=O>xLpwxnKg2XNT78p?M2viRr1^42+8
zG^zgDlaVUPsVmLXJhE?7SKg^ek18@^l^5vc27j!%s@MsbkOqzW25c!v7XBJ20BbCr
zb4ZN}7xDr>_fu-778n0YkOUVTSc8lOPar4yu>^5&2~uzdi~FY2`F|6Gar^V9
z?n5Td`M^&7)Q`K)>`cJm?{-$x@^EH%FhNuuSY6A
zV*(jq0VLq6x3kuKZQRF=+{vxn%Wc;>r_1dc6}Vz0@mJDwYto4wV`#(DGls@(Jkw8d
zaO{FL9J}q8$RGzRv2#8k&MKA?eU<2*>Yu^J|mY5eY#D52i
zuo5hZFftjFyOLZJ9G0rpffzQEW_IIVc0Pl-9NMLQ!Kw8SUX84&oGj6uTk=
z&+WGAdl31&FR_M-a
zZ+CBUR}`&%h+TcyQ2|%D-C|x1LJPnE769zQF6_b{0XOS&c8=_~?7n|(CA_!if&M%u
zZFYHkY>)Ivq<43VgcglG(_L1dtzEcgB7{YY_nbTrXK?S)c00H?9(V_P6Yp1*vY6hq3Rt9Ch-Tx071*7
zFG6)3-a}IC#L4dQQM|5R7Xe*WEn)Yi5FY5Mj>an2vJ0%tRo&Rk((hYV?sJ7V<9;`j
z&Kv)jO$K9t>8c0|gK!0P0R=!%Yl>V1NDz4hye{eju`|E7!B#R_)M2LW>Q`@KhEc~c
zOkjkq9iTc|JN0HhwO~7l%Qt}*MG+$Co4&;2EPyB^CBHNuPxn6*@>7)ob0fE2FVF$n
zn_IQ=`m6GkTGd;+DwKuZ+T7?REZLg~>4o$+R)Fq5uZn{(8CB2&cd`RR-~=d=@1W@P
ztvjhK>lMN^!)7D9Ds#q>RT)S#oma1KzcqI{HnYzzN<9GaD>U|`wP1326aW3ZL_vK}
zNCkSZg}~qp$?yrEfE0Q#3P>Q4*ANLk5DC{%4UKT|b+5MLh7`8B02~l2AkFuEKgR!t
zjom$xS*X6!o};PCR>}2D7fj#inuiyo?c{$_|9bZu?L%4T1rTJ&h!XXxU@wHkKnbbh
zgvyd4l<*8$LWN3|Di)m};fTZ`6(<`zjwI=^x4%Pd9HwCNhCYtTSNv$PBsi!pmBAfRBu*9Be`C@@gqz}T~4
z9iTvwB1H=)NwG$Xgw)BTNL0%7$X3n5ByykN0Yi0bT^Svl*uiO6Em=EM>4E|K6j$zL
z%$YTB=G@uyXV9TDV<~f}4WKrrO(W&vq(#yi3oQJkUEB6;+&^pTzS;XG$D;o-OBOZh
zabrm2E3veJg9WDXrJfy68
zDylLT=qfC*yb6I3LSk^h0T>wgYOS{3qCzPu4sqraBqnj@5YlR>Ca`V9nFO9s8rdWr
zEP9B99AnP;fCO*EX$KcQkPz)kEVI;dOU-Ix`4mI};?yi8k86VnCIQ>*zU@93pg3^0xa(qw&N`?>y?Tdldh@^{jBOAcN%V
z1r#HyfC35|;-G{HC#OCxtkQcNX1)p(DjgZr_jA{S4~49h9JZRIP8iiC^R8YYM`~R7{C;SXdfWNrT`dd0xS$@K?>M{
zKhKn5hHaRkP!6$(Myvr4i&z8=iGYSri~2%^SPIH3MWK287rI49ted
zOe_Ef1wfl0Q2w6
zw|UW4Istngp&`aNCQIsAb2>#M$)sd=vR#fOJt)nJq!OhBDcNOnD#_6lP~(Fi?!+vOM+!lRDRD1aB#vzZ(~km$&U~V*aAArQ8pOB
z?<;&v+uA_06s5$?Dr@DRRn&@BhQ?K{auFE8zBR%U3d?B|CC&+%dMAw5B!?R6C`pMH
z%R*6sihBCx?O@la)pca0=s`kvP`Z&M2$TO0GbQFLFj52`;DHiL7=jZTGE~%3v#8dC
z$-3VTE6`7pe%^NxSS8(Bx0$2_}KZ+3`BhRqg46gQQRXRqLc
z90URnPj~_}%PTzqNAD!bSy)nq55$B=R^=QGVAl}bA>b4ZFLi8@xR`uYC;+n?`i+x2=~*ZqFpkEim^V+G~dE^LH5(>9^!sAXm0$T^+)
z@5+{~7KNOs9v4F1k`hY4&N+?c;RVu7YQB9ZIK87(E{PoMLOU3G^W3Dmk3Yh8uO1>t
z1EeaFmzs%A_r+_5%)yh8@aYA|l(xsOJMUgs38OKMRYn#biqZsBC;FwPbOv`XSpjif
zRc!k|p~RAD!}{(I8E0-=Y|pX6IZZjYWZg{Wgf^Zi00VDob*c~k8#EysiC$N;)>RMl
zyt`d_S~smeRf)EQaXl9zez4Or-{)Aq-5K@7(9K*K(_JH-(T36sTyF_24hXHv-R~P^
z@KGJdh6Q6ecm8fV2_@yFem`?2P+&TmB~@d!t{PkR6{GFl^xX5$En)b@m0U&7VLQ|+
zjv;a2c2|#}d)qBRb(t6LN8?lPo7wsujF{%Qo#|f_vG0Bv0N{_09t-!@-fNZ>ik=Yg
zY9~9#K03ZORkKch;`sWUeY@{^PWFYxH0i5$OakxfK&`?{0b5M1PQ=Y{yEpD@v;(S3
zjL_vL9Y0yqcDq{Mmrt9%no7+m)o_rnxJg;U#q4ih2!*9}h0ISr+P&>15cp=cCX@D2
z@b($A1-Wvg#WXF?gGXC?b8eCmRy@m#O!rg9ZQZcTTb83mIi4kzMelPS7*sO5Zr^r3
zTWfhsr~Aeo&AyxLv5-r@y6UM92hx-`V(lBI)nnGgZ$EVMzMLSH{0^gcWJr-GL|u2>
zGfNXapIPZ%x8B$^sr1*QuPwCZne(Y3@#auc5d;V$UP`{*#ij3CY-N;(>#Yn!;
z!(XLxS`OP3$3|5qf4hJA(q`y^`&Zv5|9E`$R`n_Eviyg?j7?jArk(%yq32YAHD2qx
z{lmWenr9hrF38#A!)AuRUFsD-M@?VQkh=rUx%i>8a-s!n$-R7AH#4*Tx&DE7k%#%3
z>)&f=s0=BtPhu2tK%q^d@E;;dfP}`9Fq=e`aj>WZNohaC3+l1#AxDgi`Sl#WP
zx>e1-m_%#Hez;ZHDN=|>syW_Ph8#){(_<*o9y6;S9@;+`+8`4Vhr)k#AC!@W7TxE)
zy(^}1Kz7S)#Zt1)q@&NWBUM9V6?CMMrt!D*UUNHgqK%{1CQ(5%8{_PO_`|xI3b=eD
zmgbw5N6ct)eifFIeOA;IYbu27lX9x`9;(nJL*ePRj7n-Z;ch888q>sE1AhC^dDqS~
zXTI}wxw131|A{`M<#x@_B)!9u3}Sr>mTNv4fp9fbbHQ5ZEE6gp_gMFKl%NjWQ&+wJ
z#ghLRKP#}Kg2$;?b!ckC%k@-Mm+DZE*6y(H@Mfy-5mxCK!?VR=PLHr9{_^
zb{b+658<~%auRT99^*_)0OXtlgy{ERIG!AEjdbdFPuH__-7<1iK&ga0=-byPd8)O^
z_xe2{I{Wx5Kp&*QHotkk@nk(%Zv+sa~?;i
z5%HH~M`ZW5r9(rBwu*oh4>rH7WU4j0=+Gu7aKzf&8=$#M1MgOWhXC?AG^_%^Tp<(t
zwFBf#GgGu_tfv1b&7X3N5DT$^;y^?qGfcSFh&p|MkO5pHVlhZ
zg@x|sx=oqToqG02q%Z
zR{($`GWjH(`2_g6Wavd++9jHc)Vs6@RLOJpgIPA<#kK0;it1zS4$>VjZq7PLobw#B^JJ5sTXd^8Z3l`NO#n~fJ5uO<
zMYN`TH?y_gs?$GH&PeV--8fFMZBTL1w4>wXI3m`Z3UKpFOQ>cYDP;%@vAl8g3Q0P|
z0{E>C80wc6c@7sxgoYB*_{!i^4~Tp@Rr>z1(-au7jTNJs$|joQ}2`k(7MaTO|A9p5eMn=I!)_ZHN1B?>hE5dg*h`OD$eX
zm8rM8mkn!9rCj|vk!QM=a$8?czQE!De_s7PUA+Zu1uOluxkm;HDzcoM*T?~*>8Ad2
z8`)imqtYJy96Kc;EX{O!(gu@euLRO2KoUJ5sMjo)A=o*Ov}iy|%$2z)4~RAqc$&(x
zBESg1>1cw9BBdmJb)
znR>Jh8ps1sDe%+W)c9EzMKaZo3UjLm#NyIo*wR!FaH0;t2LK1PvEtdOwp*|+>;MMO
zuuF1Drug)~ON*>`c}xU}sJag+K7HZh{(4H|3V8U3$YBEuCe)N7$1DY#slPbWd8Jv%
zE4?(;VQ4bp$?fYyv`WYYCPU5dpexxoZ+F7I_eDhj%Eq*m{mA6rSF7ip>IBT5Wwes@
zyMT_6=j~`TDTzBwNf$C@RKWMFH{W?
z0UN2NThJr30Bz3eiC&S(GlmQSz84>#WG}s@{aHL1Ks*q=ms@RX`}L5?LqCAoXrP(g
z_|1wzY3iF?(d+R9I5|2kevRdUOS9Br@v-0>NLrL%nxO|RLNZl=%I2f8TzCK#52kn<
z%Z1B;$-{ltV6gKObQj|0Hy5=9Gl8ZZ^#hpG;4tF;g#(Au=0E_59}f^(O?M=w#$cU$
zt)Q3I(quy3cTX)j$iE7obTLw^e*U*d8gg=nA31hO@|w?mxr$f7re?3&9!{e>9>7Sx
z@;G2)nJ^@!p*p)OqON1E^C7_9_{m~X*dEh1LV@r#1B3%ylUu(wFl#KP+sUcb8wcZd
zd5!>xIXlJHkEDrXP`IgG3m72`At81&8*t-pg3g2mdTdIp8n;b1~)1FkDmq
zeynmPt`y9#u4G=5omD!P2+~Xzb^v;u3R6}Id-O7@G()^yo~6!1EuU5|$%+wC=ctQ#
z*#@Zr%&TFch?u1ZD?GEk^#LrhVr^W`FOwGVX-G;*v>NDlOWaY@)w&M%_*{DRJ>dH=
zpcGFwbh6W91(icxMVcw2Rw^Eh3l(*xQmqsXWy}%2;fl^IZbPJ=5*Ig>Qq7ZdD
zFdQv{m@4goB~5^1b;9{a1e8PX)dDsu!jQr>$jD~S-|*g+U)zr&EII$STU{-q8fak3
z*Y=<;Lka7{W_y{9xWV5cG|>3zW(vXZXgnCvM`1&YI-o@OPH>D6vUSkaB;kd9!d?8b
z##C`K11$Vmd7+|#KI*G+xO4v2vifK&qlPM;fH^uCZFJho|j7Gg>3ZT_SmVE;UT1KoOf{`SM4
zCNBD7jE0XHSVA@G`-LAbB5z!-XimAWe6jLwxk^utD&vkc`0V7eR&uJ-5YVkApi<(_
zgzww2i@V&+x5eyli}liFUEfNayYBnbVyO0wN({(JaH~&S_~WW=(Vtph4tI=Q==|?O
z*XIi+Qvw2glA_)KS@VQ@kI(lVy?E<%dO_9sLW$q-d)iS+=_O|q9)_M7{r5Nv>9{Rl
zqw&k(_*uCsIH=mjiUv<5?e3GRtwW6g+U7(LzDdnI5#4x$Wz(k%pB)X#-e!!Q$;W2$
z0pQ^3Jz!FO8saca;P{*7FZxeT{~K`m9(RRi^9Pt`PU;7`Y7hYa`Ds&=JJUZgZ1FM@?v`kxO=38n4=xf2ugmlcYLR`p1hwt4Wa^_k<+k5K-R3GClWYrN8{Z(@W;R
zcRme2d{1?K=bUHbA2nR^)cPv+kj}1z-({kJ=nXe_D7w#r&uMx(x>1Qt_J|&7nU9oc
zv`X=dpSw|*ns8<2m49lb*v)jM)zo=Eg+@Xd+Lj*
z_tYp3IT0xrP!N=Ae?4_R`skaxVChKWoTZ?!Rh|;~Jt1&JcTke~+$4EC4STdWT+Ju
zT<62zY$vgky{EYA!uC*AKOuqd00`atkjISx(6yxFOmDuv8zR)^Qu*B0W%b+l@838v
z^T4q@+Je@IHZv4(>R0-;)Y$a)&lfaUN0=m9BHR0G#TvOaY;qgxw3|#
zB-!s*LuCB>8m~8e)Koo8xpy;w8zXzuGfB5b>qKJYYva}>kamnzv}SXjtChlonEYgM
z>S8Q(S85+eeUawsG0mP7#Mz^}q3Hccao+p4aiyZ@)$4D-$ZKn*z3oquR#gy@##G)I|)bU4u
z^f(Dd*N-H&h?c5Sg5z=Xeme!j4tMnmhDSn7$|dlKB`;~vZIMp{#^`62WOq|u`0Z42*cy#ceTVs;rsNxifq2C8&+pgi!-MeHdX<(LBv%g5|Zi<++
zi-2k}Na8lpQj-Q`8|@pVAIFOnvUD@_{D9aG>^@bh3oC-hK<*bw9RgglGGFr-ZJ;s5
z-WcTaZ2JIOltGnn%5E&7ij;ce!;EEje
z6AeFa@Sirk85}ZX*-^%MHE^OX!qu6fX~z(OeJL2Cu=HXw^WmAz_osN#hVn&%IfZk^
z!2zk7C-{p5fN7~-?{e@a4ifo)g7lWGaO}A2lG^jvvMi&Pv9H+uszcWVV-=Zl)08yb
zAs4|o(fvEd!$vb}X@A1iBgdts5f}~G5q)K=H9kAi?XCDgn3`Eeo8ajLuv{yR
zSrp=0pKetFpwQqt^1!Qpgg}|mp#iPDjVpXZ0IZe{_sG47>Dm~~6;*VGil-4!!_cb4
z>1DUD(2oPB0(cO~agur!&#vHwW=P>Uv{H31RsXwx#4+ck;Oal%6f7z%T-wfq?^v+n
z*@$RL7ZRgyOL_4WqHLfXbmP*A;7&_BKvaH4UeSqZg
z?=^YJC$|CLld|pVdHX!Ng6u~fYnT`HN@4N-Zg@RSpZ795u~t!Kz;zLzYJ&LRhYi{f1BLv8XvpM03YcBRq8J?j{~VQO++m-cc)m^VJCNy7`cx>FfLX7nm-aZXJNB&n5j1SqHz6g!7S0CqB~b@}?XiMpNpGiV1pw^OOQxL{
zhTASQMTYt0fnKfb+X73u0)u(jEsUGhvC6RoUXvOp=whhODdh-T{qQM)zBa`^sYPCs
zVRJY9l2VRmhF>XIea~8V(4y+b`Qz^(+ges8|DHdd+xAF$?u{t;tGv*cE~WgNgRG0K
z3u5{>YAP&xLDu!!B#V!-R&++p3tT<;LkayZb+y-T`@Czz*~GGYWlGjy*1`>fR3ETd
zzYb6*AXbnX6ezk=eNbHw?i!eb6JPdFA9>|x>UPlr`<~q|dW4jnbG7VAKet~sqW;Yh
zCx>&b)dPyoB!Ib(f=o4lY$!g@ijp))a+fuoQz`>&o|!nzzpMT-V@9+!jUQiSN44CY
ze6@QBiuk+$I%!&`f2Th#f9;;qNZh(U^qU^MYbO|$!uizYfY+tawkK8-N0C-vw*{l3
zI!sT0P8@6V*t>Db-v4WvBo2XZlB~#js`8de+b2y?L7RNHZUs)7h>%ZAcDgrryyNOB
zbtCz3;(c{Feg0~%*j`R3Q#lm^fPpmRFysa-E)lZsIhj*IxMwr@N|YIchQ1>
z%GQf>s?eGKy82ZSR-k*FPofW+;7n)j319N&APC=>Oh8J@!QG;)CO)wb6EdI{(~I$EWrQKCNCR{H9;?R>GET;b0;L9hZYS5
z=mzRLm9}aYnRSbZTcnG>8R#vtZ{LC)x&Qol^x~}|d?I3`Flu^o8sg(TXuh`^_;j}1
z{6tzeZ@4Ij29gi5D0F}jUZYBh^;$%TWPYj0kZM$
z^xrJbSjU)XQMXiHw_QGcv`DyRSg~aqgXhxsp-Bk`x|m}32VnjwXm`NbO$Q-<^A?@U7JVvd(YG9N%r4u`K!Q
zZIo;PX`s}*N67(45**^H&Aszo4nDc@?&Nmxsb7`88-SWa9C!RISzgE_Bo(F%QBw~=
z*8#C)lGn;u3$7UYi+d_Hqh{CPzgvu-T#_>FZpHWn5B=sBihVa?*@cYsBo
zyRRKcSHqusRV?VJ^X2fB3cc|-UEII!|8|4KTF~s)ZSQyfwK}6(bsC1x$y4y~D(%IG
zh)WAa(#s^34}c0s%<{>D{qN2)-rJ22pIj+DnO7xJq>@xta{j^l&c`a}%l`W-xJrK{
zYvr|)Ffkdp%0H!b)3tO)67IoL)n&bThI)NbAAuQbKV+1U^4NEzsQrVcm{2
zvBL^Tc>`=qOg~LZ{t_A5aVBGlkP0F)i;O%Mdd?#J+}?FB+`Mh{^vvgR+x&?2{J8L&
zF=|^=gXQM}E*bUtFRMh*7XWDT-tN`x6L^hmoEWYfVFIM@j?^fg+<#)xwi{`|GLEYO
zq4O)8>sP&R&5Ej07zp5Egz7(;PpqlrkyTD?W<>0qG;;*H&*F5Jj-qBcA#ZBNh~0J%DjW-W4$p$v
z!62v6bd2O&*)Jjkk#B+?05w=Y*ik;kMj`g_o(DC-#ydS(ZUY)^-NIQX@s1%SI
z-`>`nrsel%#QVyz*+TwBbG9_T92(eX1e8VN3j&}FZOs2g49l0j&k2sGQ4jF%mZr%}
zw?&QUIXKq|Tx!q1lp$~OY@FXbo<(vPNqkTq*nFzjl-*-q-Milw
zheFZer5h%Xk1==U`dVuHlkg{KWnTMF&_PGJ?m3i#vw2@VjOmmR$~C6a5V(mLW8<)*7&>d_WakaFwU@-&g9B^S8QQ`a5UD%D_H
zA*Y2R4sMT#FP={Jp^J=g+I|wz2KS@y%AkF^B^Nr&vk_*LR(t$iL&nF0y}z4hnQwGAo54mqx|7N?*s3M-aA)o
z>!AtayGcDWHJtQ%SnFoDdaGvJi(%eMoWn{9nOX<(%NoD}kU2zhP!=exEDI6JK=adFSnD5^
ziqZ9#dB~Ez!!jj}ijRv)m5cK2m^U)09`rdn2G^{M{P>yyLj{4%+j`wHEULT)G&o?B
zMc^8)@v+*re2MylzKqcb!PaKM}Fs|FShX~&n@0CUYWY9E$J_abON1oWHD#BH9u#f?O$eQxU9aDgdAc6zU
zIw)m3C`BIgjEn-}`g#uUSRPqpniGwJRG2*k#r>A9L&nrwGgV(mdM6BGyQsH%v)?uE
zB{pYBDm|Fe@TyiutjqZM-X;DS3AxUz+?1bYggmP0DH*s?ks{pDqin*B#w6BWpSDz<
z;&vuBXQ>&R_D}Yd?(CVhn%E4#xcmI3eLmDTM(s14BuxTPCkm_$F~lia8j*VxgP8hQ7ej0>
z-oe*U(?ZeBQjc6B!n3eH-izlkjq6CJXU?^M(XiR_zyUC!*>ax(
z)~5BU)b*-f?Ab4Z)vveIl=Rh&>QPj6TWx0Q`+$d{Emw*Aa6Z#q@w*AlQm+VnsNzR&
z)~=`Nr={e>9h&|gx#tiHpv?v2R%R6I
z=!7idb^fvI7YOFKi#?NI9fB@eWK~Vcsn7Ht(70g?GhS&)i9hv6uUMpKMkb#xolTU=
z^PkLtu8DHj)futPl0eaBGqD|6JbA0+ta?yF++XcmCVe2OmBGKiMkYoY1R7gdiDr7s
zv7yw|j%RDJCg}yaEt5x+%r4vCEq{JjfhdU8#G(|+4?I*V1hR0{teDZ4z%TzC{cv&1|7XvgUGmYMKsM2}@|NJDsy`fe_m+s@s
zv$~Y3h-k@y>MCDy20_qtFyD97Y%hOA}E$5menz&FlC_ASwF?UZXXeuqT&YGe+@wMskMg+{q4QlsT-Qa>OlGSmU*^bZ%R
zy~^XOd6#}wz=xgtEuW)2AG^{C<`8G8^0F#cLsT}>4SZG$jrA+He%*e<;cAdMufBV&_9!whQ*wkJgRmkc3;4f%^nqRBP6Q7-+
zk#=$WXNG{PUlvJccpboZZktcFUwX3qcJzZ=WEgS&X9df<4WO7G&|af_-6N*}azmOL
z3%MazG#4qTV!f_>+v@PoeKN0cZdJtX86YUnv2i^lPfkepu7G;XPepO{h%m4up>;h3
ztytz=*D#p!n+yj5UIt#FNV5B-R75EiSG;SbpeTbG8Z#y6foIV52&yifc1q23u)qUB
z9gqRd?DjES8~`gQaLb}AeL34c+xOkCVVH?=l|n7+L*v4zX>LW7t8MzOBc@X?4|}!i
z$DgKy_6N9N8W+brK_nHFxecPQfTMb
z)iPGk@yar|O8puzvm=uF5GL<7ePR1o!t4{63gRXSrrzd!94@-5EFWVm%XFaYNJz$y
zfSq?av?+d7E*%_F;yVIG=-@yLsTwpr8w3s@6gQ6$`KcS|&gUx+AO)8sSCpLm6}@~z
zD7AEBuiwdTtA2CnchI1jONBu?KKpQ;8sfoLuPa1NK@Rk>3l~
zE`Cls#sY08V?@Fj^FjHiuPuvLQlOfuFn&)>OUZNwbj+&Cq~wXb%fyhR)@W@)FcAb!
z(JwNYS9jGc?V5jesFD8z`ft}_7)n40q>=3Yo4~+Ij?331f6om5BX4A%`A!%i=L$C*%7MyY
z{os~3rqL{k1(p3;aEx+GFL&7C2Cx*)Z_y*l;il>rEiqHZ=h$Ue>EV(G1x`5?-z^ygjrIXI9Iq6SRya=mWtSE1xsV{6mydOe1(l7OzU
z4c`F3W}69Vvp3|<%^xc+qnDq1{zm!n5A%zuRk?c>8%YD9c5V-nFk221<4@B;6rJUJPv^=#63^U1mKwc=AKaxW)im
zr#DPn6`^k+J%HV2?x%tuHJrIm4D$9~_(y~{PM7|8kXU&&YvrV>%gW=Ckn#BYTBS$$
z>}(d+T;3m+Xn&ci>iN>kx8eIV-}L>f#Et?N{Rz9=g|8=Q^m`BG9fT
ziV>uYgH|5HPCp$-@|#9tl0UW{fZf6gerCgzr|81ezTA|Zz+bw&~fno!^U_$~OogxsoodhULOD?7wS`CnL|FDBm6nTZz8ede9jOs9ej
zKV=ISE*jZN43Wh35?)ZC3J0WyZBJ}pzm*lFVsL19uJcrOwa+^aMyaF7VB_$Q)Hgd1
zT5V0ZJ!<{N$9K?mr(B|ywANqoQm6Hv3YvxpXp#_;75+#`;wqi;A;kTkUk|^@eMn#e
zNPtMarPaF?WJqap2z_0G=rTH6u?y4qYq!2d;%}xL;
zM1J+*pGwa(YA$Pi_4zEHPhn655+y0IPGm?LI*bFO{!8tNJ-N
z7R~yeP1^#i`N+c{6cschCq=RP%>3UQ?3Yt`M;nawTfix8T4{u0&!sxX561p%5T}-HlSM^
z>vb8sf|oeI`0uW{)>ki6p3C{3PR)%UwLjv9P9_RWN96!WhWCNBm1oW;zy7<~`kpj)
z9-V|j*!yq*!GIpWo5c_=(s#|y{yu6*>%gSYuYxGq1cNg<;Rne2rlM~^&!=dPgo5SG
zoV#=B>Q9=A9ZM%~kCFtPtHF}eE06g1H=ZR%_j>)}6(em4wESPyHYVC}(V~~V2Tf1H
zH1_eN=>~>`YN7D#T%#o3^
zo4r>K+_w;zFQ29>fx77+s{gv%tH_Aoi+H8zu;L;?{`$Au*jzn7e
z5AtKe1O5koh(!*7zaB9KSW(<4lehb-Ck$e0J~z7>xi&Vy6Skv$d@k@wz7ZyP(&^ip
zeT2vGYF5yb#ES27tmF!B6nF;t%MU52AD=94;Sar^)l?R`+by_zLBIaqp=9H`B!5|J-K$&%`MhYrdd~N_@veCVJjxog
zkS3pPd*>qRcaM|ljwW14tFX2vRIi#`=1*4746Wzm`DAvmKAN_VcEr(;388J{P~dl-
zD6$lYOxzL;+k-d%78`m0uavuQbOyF7kIe9Nhobgk2ws9oYU>^upX@>u}7`
ze52SWb@l;M$c?UN@C?8m6P!>~H!Ok%t^?FNQR~W_#I#(90@k(4E?vtSis~Rlf*&c4
zhEIr7h>0Veu%>&g3W$H$jAD@;Dn7cBZ!gkN3<`|w_bCpbp6T*03%!@k4;l=u`X$mWW^BASm|3ggn{o`G=s$8;04)JYcq4vR>Uj;S;S
z8XPP$c%uC|1BPc1;nz8M`(xj79)___8yn4|l>Va*$44=f&+qF90v0oo=-W9i8@YBIppG?UCl5_8c3tQqfN6jF*7fL
zhTsto;xSXIy7FIol|F>tTg;OGV1ppWA$_=*KU^3=X46Zc$-$BjC9R4Ye
zCV#hd9S}26dO)%i<(gpC2}JM!a#^M5HN3R~U466^x#^FI;Gv4>dva5t{gX#_7B9{P
zVy(O7jDXm7e@qKqt^+SCgx4(cm*wGP`{;5!0CtlucNibJi5Cw72pZ_?zZ-%eUjjc>
zO7d@a)P?NyDZJZqJNnb@#)*T<7jh1JE>Y7mD&j7IT`V1;oH-
z;JV)~E=LwC>X!I8;h~=-ACWxd-fk*JZ
zCG26K=8m6iHBWM837fG`{?W13e&{}bnU-!qqyL_4M>lX^nG68RwfLh)OJU1szdaW}
z$I-80Et26z{-NJHBwOJB;sm<{0$xM~cGcqqK2#_{Dz@a@bK4wUMb^hS_q#9w+E&X7K;19=ns~T^zjSIK
zXr@o4{)_vh-hsL$O?z0}KKiLU9(72?R4zL+3l^w#1k8_h<
zfY^W~6b~p=3$%T79Q$4Tl8wLJQmOP19n1y#OiG~o@UjZ-aZuNeHDP~UN%V#L%H4rZ
z-)c(aj1p|le)IY~=X&$7&sY~uUIBPxFI>k}(BO}tfs?l+QdlIccLv9n(Hsje?;+Dk@#wXL1#2%xB}9+vnP6_FM+6iuF4~N
zT4UGI+?RqaJQSl;(z#TS(JeJYLuQmpQ;1k@siaW%X#mL!07N;h@AnG|4#Wy#>Bz))
zBDFxV9oo@^3%TF%nF`qw|G`_im(Vb#g%CU^JO7J4#qazJ*IP$#
z&6;XEgChkLsF^ru1`z4D2d%@0D{#-(#In0QN)0|Chw4$!=89h61lzd$2{ec`0Gi{M
zgA;)UaX}Bd(e;68K#P?#&ebR|
zfo;c$e7V3W*dgD#NG`ZF2M)N
zXDw+ef;Yu=R^la`al0}-8}!)Vfq;?I+lmj*7QI>|sJZvSrkHC?k_`A`JAA7>FZ0Sn
z{*bvp?GQE4hS5v*>Gk@jwSjlIuw@>`hZbz~AvIO9O5?V
z{;gj6qj_xMgzJS163j323vY`ufuY`Afmcw*YEJJDc8HChlaPs?b&gVYU8YFz$HTr7a
zno8o0venyr{R(Hl66R3C;>-g!eS)J;O9)eP*L%IMoeh*aa~7MN-~|^{Jd)_y5bPCH
zibELP9Xvy=YWqO`mQ!o@Sh
zUfOQ8D~iXyvj`8?GHrVp(HK5=H26?mNI}83qJZy33QwPd(t#MO29qaUoZ~aR;f7_;h
z4-&GsYq@*N?ErqCCzGwdGl$IwCOhVI0|e&*d?&>RulWv^nmtj0y(p`_=h|9_3YgLG
zIWiRZ5VJBbKqZ|spHW&KyR*8gIX!q5`?`uXkZl~_dx`mcfs+x*KJiidsp#9<*Yo$d
z@wGhrat?p(TYdxem1Xa;3DuS~&AP|07tB4UBLBn=bS|d;YP!{C#%ksL7y8VW5WL{q
zD=Ry5DW*|u+4;-h8ja=u=?+EOqFW&m{5IIva&}!P3
zY_7nwLzodyp)0)oI#6U^miB+uD`V1EdZa(T8^S(P)qTSj9{X4K^4iB&av$$-SKDNt
z!)CfH@9cFH-mx2c{kc8x;jONtmyG2>rt7b(h$a{1D_*eC*0>$y>vKn8KEGHOI$cGA
z+Pr60(NEXW@~tGkQ=g!U9J$s?#jQgD&A^&$#@nTbhf9kK|GRqvJ*xMkbsJVs6s*Oe
zuj9=h0EIZ|2`EN+&QsyfaJ(oSpEWXzrSltv#%5_@q)kYFhS3f@ap&&Sm{3(zTI^17
z!ZTSu>8kju|8PQhnU3xp$F7xsCkIMTE}baelE^oed%tB>vYH}`OG01?IcyRGA%ZcZ
zRQOq@!o^GshH?Tdm{u8*BTH{F#iEupNGU~c*(zOCNzbRCvGTc`@Tq4}HRX4O=!Wq5
zy-okG%45aEGgEC+&DGBTGeSM~R~KOVsnVha5nLb>Y%j~1jVObPY5Oi}y0}zlds@wG
zd)j}k5D-88Cjd`}BTx@)-42)TFJkcDw5{f0BbruoiYe7Q)H#FND{?k%yw?#-=!?4^
zCG)Q*;-yBl+RNp?u@m^6|1)ZEz7G_Q#7NAf%_v%kt)I~(=4M<|c%PE_`9Cg`|A13R
zTkKMB4rj|Zkdz{4SZ04Ura5U$E^Ho$PcmN{`ONDbyC^AAHoPV7f7fQV{*Ofl#qN5_
zV;u#QitMUSfL;p4`sarRl{Z$O1jBfAy;!)Y(~M!5>=_H$8&e=Vv8^7ps!jSHP*mN(
znIbKq!=atigHo-VBuhF=vpaT`eqT|$RYUago#68qKWg<22;+{e^*3~
zA`&;$?A65(a_BF7LC!V0o{AB|ls*Y`O-=DDOSA<+H&rm!C%{sexErcoL%FyyQQIRP
ziE}QntKDS2#8>8l1U$lCsJZONbdVv{TtF(ipzSz+XKX1;CdgBN&&lhjs_PJcjDUYu
z(2nBuQI)L(5k9kWoWC&EXS``NH*+>n7{d#i>^0fFST=a*1A$34Nm`?kb+;7b5q*(9
z3PR@7?6<_+b>24VlzC3?sLGq1z-7blZeZay7!Y8|1r()|*9~2CU5^?E0SNy}8)X5-L|G@~Fy?^qtf|Kadxt14T*wH7=R@
z-0<-`jWYO}lQ8Ofjs`>!r)f|q%8!UZI}-wssuej50jE6we$0wEDDcS7B3By?bM-xa_2@QSAZ1bHp7afWBv-*3_`rmUHR;HOK7Z|p@DA&m}
zO|fZIc_%7<6#j+~@1(0&x0LU@S)@Ha(%R>mMZgjQuLgAkT(fk||7iZ(?N&;&kg_yY
zpGrW>o4X~tc~sRLz10_wNwkqFdArtMz56QF_CL0_?^dZJj^2rTH@?wonp0{M0*5?
zITEM}W82`3^mcLJCdU(_p=&2=f3&Df40LbO+pr1_w)SJ#?{Ry8X^O
z4z}p-<{MVeu-LF6r5Q9v7lTgND;Eyz`hsv7JAUK09dgSjs
z$bs;uFx@a_?7eQFag+Af^#*pNkvt|{11vTVU>iDoGU|&z`)8w^EE0Tp$1n}}A@EdVHVl7T
zv{4|MUDD`b>-zhS%?VZf^xk6N9tLnt1x^BhQ2WcfhZ1;EQfLaw;QBL4{!Ue#Oa|;i
zoI#oLwyQ;Ww`Pe_o3}C)Y#c^}qP8^QlA~0;Y72>$B&ceIKlGpn-NPNgmT_1@TCpvp
z_7nPRI3T|npM(TQ0i~YT4QU`ikZ+`4wZ{3IcFtuBy;0P4a-kzIzmW-SE>sicuj)ax
zz$?he%I^&DxuG;e-kH1{6;}!K3CjjL`@h5HlTjv|HjuoL53H}Jn`V^%I9&1{Erf>vrD1CJIKI
z?;5{Yce?Ov4;(wx1BYmZiR8^sRy#eab$_v8sqt(2a-v~f=>7NZp?>*ul{pV4b69+4
z_kfwIORh9qg2>!AV{b91MwMqxhfIIZEqmu#DVT|YJbus5j<&S4zKD+c@o@nH`0?ns
z(I@I{nZ;%8|D)*M~a3t&MxPCKJVA_72p2!<$rNccjne}S~@<>
zMaPcsyx$sadG`C|w<}L?zT<}6V#rAATm5rR(<*Kh`#CZTNv4
z=|!GB>BxcEE8drRlqT%f{`&gAfen}a5PfwCdZE*=dp>hV5ASVRI>zQf9_}%}oVdC?
zk@g0Rxa9K`Dw#BsZc!yt%6ROQ`}Eyv7SztN6_E4GRh?gkN=gp)+M>-eK)PFs2Ta!f
z6z1;n3aO5@i6s-6;Q9H~R31}|bgi`#k23pnfGPfysoO1-@cFf$`TOpkq>j%g#*((N
zHVD1A>q}nsNqe@GA%a@#e-}=lZ>h$f?OPpwM|Zo#d~&GvXPb+c~l?|pGyehIHwJ~{Bq{K~|3KdhQ
z$VpN6ZBd1%;7E5k1c^|^Q}z(aklJMNDc1`}op4eq%@c9^W0lyIerb!6ChCU0ucChM
zw;&(CWW|sZEw(^oL|y%O6A`JR1X#{GADsgh=KQJwU
z!I%;^rNYV|BQLkoc~NoN0`l?}BX5PCi6zyt(#uL@>h$=_kQp~iWXfxCmlD#cEA$*D
zBB_;5kz(YuA{VZSgfZzkjEvTj%=W$3%=QxGWUnaCro6m@bU!axn}@ulp4lOlKAezF
z=K`Wf$dPv=+wD@io9v%=WzbpKvqz^UoyYDUcvyi8O>XNTxJj+$4Yh9~wdf@&}L6ClNWXu4r^!0=r+1Ittko
z%S$twGY{#uQb^}A=m6qU*tKjX3eUPhBcU{dz;fwQK;{l`KLgU2Bjkjx{Ov=R=YliWBMzgT08R7?O*Z
z;5Jse8_(xdT701`J6^gttnL~LlRd7Ua_pEAvH0|pgiPBuc)qy6G70ym7gl1c>B051
zp}^>Uuomp40?EYEni~%nOO5SdbtZ1XTqv{Dp`s3wgb^?z@D_K_%Q$|veQtSh?n^yT
z|9;Fd0$2eHs$~iNWefc!qq_j1BrHgQ37SeQSIL7~av+vW$W$Fjk^nAVK-yvi6i8{}
zejr{^x@aD_feU;M2Z@qFizXm62~te}OZwefs0)>0hN>_jlNuE&JhwoSPXh;9dr_gV
z#|Fsjd_TNy$q;V+m9F?#S}sF^*fJp|oJuQfra}_3MG;~`f|zhCP4glA!ce0;VoemZ#hc1>NIfEVte{03}h*=GY+0l===Y@nHhdpJqb5
zp@;y-t2~3ag^SAO!29x0NgQMgORbNIa0d{reh=sr)L0U-k0pHzgX-sAo#uZSjN@-z
ze{d@g)xae+aBXj~kZ;@h=q$ly5+s-s^2ED-GpT;-M*Vhs{q9WtDH7Zv4;+3Rg2I7_
zc(4Qoy0KpN*H6fUBJh_h=u0eEH32DOv{;i6r$LYe2eQu58^xlP*^K2$@HtQTG8-1j
z26cd8sqpvfpqZ8iX+nbp2BhGSFF}HQ%0s$zgG_nCsy!IPhe*!@nPXffC@?Y;
zqD;v{zFD!$Ct`Jxd4zLmnH4w-42x
zO+@xHZPy6Z?U}`H2QVPps;_ydek5ug5Q2!`O;|>b&bb4Z4~uxQOGs
zww3h?nZo%2bkhKXuwzD2Wmd{rv8$QZM+Hf#0t0y}T`a+MrWu#1;tUpQ;JvgN$SB*c
znt+}r3lw6}v)KJMw^bbXl+cqb1Ku=Q1Mobuz-)tah)WR|wMN$x)Voc}hV-K0hcK=L
zumFn>G%d8fPT%IRYzW{a92m_aDNq{B8XERFp;gENHyyy8Pyf#|!^x;yuLPG_e61|O
zIVNJ?Q54BiY?ETUO?s+b
zhl$2?eEq`kCFrKUczMpG!yH56In}&7vVw;Hm#a287u!vvi`J0q9CTlv;3Chd=Ad!b
zLX&Jdom29F-zuDxp9XqTnkKew7$c}!65-HUaCkVKv!n+X&NAXHeT4LHzu
ze$i?yx*zx42nXsdteeB4Hzv^Qd4hkwNGt+~Ffw|Qi(1R8+eV<_n8tnzbd)O?_q%K4
zc)VB(p!^_Lg$dN=b+3~k-1V|;3QPs)O~Rrx^FYzl7`zrlcf6CkM*!Olbu2Ow&}p>t
zI$wa2&7a6_`HN@@p+L?F{Dy=gb2_D&5cyJ&3PETm09eoD|B@$oTT68`54lVLra9>E
ze3K|nE*i(r>*{gSgI<+gg6@@;Wu
z{}O~=aLcw?e9v}=yVlxzeNlm?claU5S@Q4(fZ}KjEn;OWX1d4z4pAeXYBaoD?08zp
zLQk@v{o0qgEJq5F;Y$K+Q`^uj?zQLnkhKJK>7Fℨqn3hI`lv-2JWwbY6uv0o|X+`v!GRe}QrVp+ra5Q3BAzwAmZx5~KOwH5%
z?)Y!3tg?{Ku2&Ns(%(#=Hz*(0n5EuO(Ee82*K*NH
zxhQrTeokEA3l{yJD`;1W%DimH=tLJ{1oBCc7tH04mMh{Ljq~
zNzY2F_c(fs6#jk|Jd!JTxjGR<)_3Kb!n%`8eV!CK
z>UYTP8)_05pQWI3n2=Gz`vxv*IuCV=Bp8<0l60}?78||86yg$!?nHsrnUMLMcMm&|
z^qZ{#jzXBi8vh%D>;Iu{^CKq-LO=cuvr+AZgb@G~S&LY%>i*=?qiS;d)Ea`!
zLQ#QA<_&M7O`&()N3HYO^hpy05yjcNJw^*1(7tyAx_fdXw5I&04049Eq(753Pi?1sI&9(9$emci@ex(wb(K_ASN3o
z>RfUD2Q?+ddTaapmzLbqhtwqSWEPiVO%qmk2_fX3>fb`C%3U+rQ&EQ8J13_)NEr_S
z-LN*&%4%gmM5S<*v<-d0tpjCIOEur{9;8s=kz|`(;U{(dfCw>c4BV}%@lj4km5hTR
zI+oZC6-TTdz=qEgKshel*86F5-b4-i7fFP!)YnO#Hn}qAIhJr0=atH)JGFqez1lgg
z>Kbba=?{h0GgROch}M!Dcl0G~+S-T}4pA9<{PQwj)jh7Ev-Z%u1J
zkU?((75TYwm~WmnbsxnZVuO96FOC;6G8tPEM(oBnnf&M8%n1lY{vLWe*HKHpjZy;)
ze*3an%xIsbe=xisHP`7(+ee0{UOP;glOlI%vrFx!JjsUC4tqJS*!f+HfJ@
zX5uGoR$21+@vc-MBBcR7oK+5shm`id$h7WUb`UeRSH_KUtS%)eY@U<1wFQIgM}Hr?u3Ny
zsMI*W)DR|Y5a!Ok_P09LoP`F3?3!6!kA*f+6fIv0mXa+qz
z{!Zq=Oxx#(g}L{6OnE*f`7eUA9ZfER>E{;26Hd=R`>S=D+bR_0_iHlr>TYtIpAI8jluG4O$R2CXOQ)0fEFC@Z){>5nG{);5
zA^#OCr7IsWaaN0q7F7QIO3Ql^nQYs`Yu}-%D_v>&T8o$iO-QYPeEMDflkd?Bwn{~>
zvVv0=DhCtnj86%>hvD2X!s6*Z?-oUKwjEE;;CqOzuY@Be0#K5AT8-=)P&f&I^Sd+P
zS`>&dWB6y%`QjzA(B+;#$9FP*n!CikE-bgniB*40L6WnHynZKi)14s)5r@cnj~a9`
zmMz}-x~L^}zs`lWVV})ZWJhm}W+LAWe~}j@12!T0*V~*!jK@odpxL5aoJ+*<$AUzu
z0$g;uGtS}hjrk~u%rleG@KdhGPUwf;-hFFgU#6IGBnpImO&E>ID6AOwg*Ya4yD0fD
zRO~^+2=~2c;=+7<(R(E!vQ256)S079A@NhbgUNt_VF3Wc5g;QtD)DU^F5yoQ(bn`x
z!6P9PRa^GAN=&v6i2oO9gabobe?9z5L4Z`(K_A{qv`zM%iEF+{fCNc+
z!*LX3&cU=WODCO)40*MqPfu+=kt}@iO5z*}klfbf0{kmFppB=e|9$@bY{Q&=6@udK
zb=R;rAI4C`JGfvWDK^w~o%%&!0dZoAEf}(%tP#aUisE||;Aa`OW&t9__#VlA7G+=5
zyjXk!2ukQXHyZ_o9_r$C|Vrz&CEtA}J~II+(RD-2v#
zt#=Z~KfW<+DnorR&n?nXFu&#SsxNpksNjv#uOI4N&hr`vnV2m0g-32wi0@=2I>XZv
z$#jlr4Kp4ueiU;}@8nvTp3n4)Gn@IgU)DkmZoVy~#oc}A^3@^5l=J@hX3PH0RZE|C
z&fue;o=EO-a$flJx5nS@n(PaWJ>mVn{O$R+pCi%EV~6Id?F`$;E`EN!NptXmOFgNj
zKvSP5U3?ne+B4hY?G^b%>i{LS-sliX;-*M$8`c*`uiigd
zy0M!yKOh$%lmyGzYONRd&pw-K_G_OT1bqI?G7M8`CCVWwzr|gw`@IHHJ_1Ncyh;g2
zSa=JERq~+;X?7dzss0lbzGN{fWJ(^{7n;~)fl2(T1}m`fOciD6eyw;z5E>ezh^LQH
zjOF%{p-Z<|Aun^2Tbb9iqQiQ39$TD)aqq%rev6|$DMp^q?aZP-0j6L8enqO{qX{6!
zfk;y_<;khWeiV>zss!cvK4k%wS`5*OYU>GUREOAe2sf0UHxQETI4Q^y08fVMU4Lrcwfp#URLxTz!(H5*JJx
zr>6O6=#aAI8PKzMXcC5gVGwRu(xHz9`{EJ23o0E?yh^K;8Y%npLUMe5&w-5!`~-E3
z0M;afXFOYfRpDP(n=E$WPk+I`m8HM^(mL@J^l0fYoU7zJ1%&`KHymxx2ryN;X2P@P
zqPYjCtuPVp)AH)J{iaYc4v5NziK*Kjy;kJMRJI?a1eK%)Vr^ZQ*&hsO0e+>tg9%s=
z6`;u^^eK4&=2J8W9(FmEO2pBGIVnB_B=NOvV%Vr|g0bvHLK-Lsr3-?e5L~F~Pm%;8M!22aacxf-ukK!Yh
z7J$j((SZTn+Q_WidfhO40+q;s($_%lBev(Fo;d8LwlH8Z>bU_@FkdY7wLu?l=c&p&
z<5vYL?RoNs9q_Xh4Llhhi-()z;AC~U{W^S)JO#f6r3ZPY@C?dx#MC&3a6)U^i#)uV
zCq0OjWz7@)q|ze*L@Izdt4_17g~u?`CJ1TuhBV>|Jf;a^D37ECD!pvC(RahW1p^a?-Xfe`u*f0TghzBv%T^%q-=g%Y$v{dBt%jE62RCkNHCkzw|b
zR+vj_%frX5+;@yUu#}yly3+v-iVp!&q;hz{L`emJgMm~xM(Ri}%;omrk8U>)T+zqZ
z5Ni#C+p<>{j+mIGbcx&uJ3S{D1TbMr}B9*7?{3PHh;l|CPt|c=y&(w1a@lXt+
zN*x}Dqg`01#Sv5MgAl$S4-`7
z3Wtgk%S6kezJ9O!)1eoo(xL$R1@6#=R;O`q?XA*A*Fehn&(<8D-sjGpQ%_qO)B$NC
zT*WixuP?;6Ro88t>dDKgbCX>>q2R4l+bJ6h13+b+;Ym()M^0G2JZf;)#?WyBO5-2}rW&kLu!&N9LK3D+H
zfUOz6v}%4_`DJk1jAAWidm!SBYbifZ^9cjRVZqxJdPKt1US3*rhswBDN|C`!
zJX;PCNrAF=TYGk!T5%MKsbgRcH3&_-pPs04_dBDm)Mh40tkl
zpR1#7OOGL~-iVd)KHq}`Eak{WJv9al41%MXBiVRh>fJ#BCEzvGRI{toGtAPL13EHn
z@NXCT&yeQB<3FYNc%|;nUno&u8Rf6Gb55U6QC+UE$APA1fQjB=A
zFF>~?zWEacsh&FsC+ARZ+X*MPrn$7zKJGe_8EK7Cpimr50z<#$
zLi6O~oo%{40N;8DPtF?}m+958W_>g{I^kpi61J7f6D7?FRG;)TVI1+C2LfqL1U93~=Dq
z@ypjttRK;gJqJA5FvHs9JwK+M#c>`J)uwR{91{f*RfjwKLX=2;9xRH*9i#BJv?wVU
ze!bTR376NP3G^@Pogzk`&yK*@kF(PRbcpyT^*$@KA%6f~c|sbX3H$>*ECyjK`LK0P
zKiA8A_!^BAx6xRL(Ax`BD%s1=AwZ0@dM!
zTIxoAtJ@$gY6@zIq(#=UeXyTw0jMS;HM|49EmkaJDkk`(AlVM4Rw80frbSMr;B)Uc6*pjmfFU_~Q4fSCP!nVWRTPtjSrm|C7K}N5`oF+n
z0YxRx7Y$phGbt%Y;UTS9>X*dlLW61ouc^kKA6<0pZ=);aaiF$jh!UenKJQDr#URmE
zL=7LoenSnb1K~YG@NYTS;eV1S&Q`~Y;z?z7nWk1FBRy&J3lQXqewOdBcsqEevh
z>VZZ!#gMDzbChbuP&sqTDs`u(&NA8aUUWdRAPyuLTlaN2PjHGIO3&QiJ9uaMt;_*A
zrs66}YlTl|r1D;4_h?>^YTKuY*DD{xAjM1Vkg(`n>rT7Wg*)1VM5mTjXg%b?$vrox
zlaB-pcanR79phc4=2efmBM{v-Sr+6$%*FBlcG|xQD4$9)h`IbldhR&lv
z_!Hi-`$+Hd$r$M5w?-VDdfnoFL#;72v$07=Jynto5R<{;
z380F6fvHDD-(N|dX;b0wj$1K1QHbBSCx6CLQsH-z;(W)kL)^R!qd!*r$_@xXDaqno
zyv8kR?g6OAe2Qe)Z9uX`=l2g?#7~^$Pd&At`Uig+>^;8WLrEi3Y7QJk5gxO%zJqZo
zhIvng%WqT5JH~%VV4r_KJTHG(=sbbmJTGM)_R%dUTL4a=*x6HfkLH6Rd-mU+I<{;$
z4QxDf`r`a)!}a%u8{!v9@|XMFP8BnDi~F-$0|}`Z7*QQc45PrM(%^$WN0Pt(>MT0*
z>etCnzfOJo#a{pAC%Ngr_v`1Xgyz(R3l5vXlNW*y#|6b~2AwDlzq=XHvKe_R?rW+1
z2kcQ^Kz+erT_DwDRTC;+d!gbig^$6z8wTKHN<95{0zJOMABZcCPn={XJ^y{Ng?V}4
zcU(*S)p#H&^!J6+zvB;XQ4tB34kx633QUtsh?|V3p4fs(C8P`_WFfXF&wr=1B;?G;
z3np(dS`sqs6XFqxw7spYVt|jZMbq6%eZG|(4;<0|bII+`)t1DJfj@gZ)RZRl=R$mZ
z;nm;epAuVw%SYPbBQu-hcUtH>&GgdNyF2YI7hCrzIKi5&#svEnY73#1eLB7o3%q?okqQH$
zaH!mEAmZ$$*Rg;|>-_=ydcn#|5&7ABVN~s|OVcI0f^7$eV)F+X6yd4e;d%iP+~tYi
z>Ttim4*DRGguh2KFFkEjoaX)ie#@U!z`VP9dHAr=$Xy9=>ECz7m*3a_m5tq%U|pKO
zdZ`;rEw#DK-Mfq^xik^_Zz=Th$9UkA{a@kr%R`NsAdP<#K>gk&p-b1=bhU`7q6(*=
zI6xc+A(Af;{T_Q6HBW5{cE8X2hd_#e5h7Y)>)7s8e$h?!o)3z}`a~)9+A#O7G-@j|UKmLr_mxJpP
zZQ^UWm@9$96;e~C3==UBal_vM+|J>Q=0w~(t74&bzNPb
z=IzLmZn!K7RpKCbQ_67tYjr@#v_~<i`hczNMEzJh8}#<$-T6EJE}Jq>Rml%(g`tjLU%2ny77^$x`CnLMqfo|2
z|5xrc@P~Cbv^Nhls@@=IHsIxl1IB~)@>yD}Q@Wj+ZM-7)J&R;(0
z+uHZHx2AYQlQg1+4kB3#NRzs#AnCGUs=>wsci?uu(<8#O8Q~MccrpfH;NJsB?2O((
zJFD3con4gq)+7odtH)N?OyosJ|>W{!)7uKkgzBTE(X@
zqJFmW$V=m;;>UNv#^Rc@hl{g4Q*PQuPrQ<*{S~Fn&JO(wYoEz5nrdh~ePPN{P{1(z
zbWiTm%-4fApSV*$+>;5QshA7&M*GM}yR~{6KkD)uP&wT_2*Q)mu|T)%Ec2*QStUIv
zhy)kFBIK~4^}_90u|K9yoMG=((qEojml`1SX_MS3QEZ$nR~@dYL_mw!D4j3F&>=`}
zK1wS0932aQ*otW1^VPDoSc35kD948pD3~kqVpvuDvHplwlJU6M)m;eoOFr!4Nz0+F
z2-pq2)U+_;8+ls+X~{pj_-$N<1zx}ZEqTAwHn%i={^9FEdx`0o+~kq@znhW=_8!&~
zv@y(=+~bfo@y|-DZB@2SHbu)N0?vuC{VGyqv^leCUo9S?>14tOreI>Vl@+!A)TD?$
zJ0h2ZwLDm62|n9Y4R0v10r4V`|F;!il-NLfzf;{jmSoZ~_Oe=epf7&@V#`>BCbT6x
zS}s8F#TFEF?`+Oqq}(EA{L+5=#xN0;5{iXk;rorPagFl4hAi{p3hX#h{QiT_7j5|z
z#+O$Hx=_3wmzz$c-Na6+h+#Hrzkss4!Qr28>LYJzEGwK{e$Z*NVb2J1oP~R`t!f<1
z1XP^b-Y+}smtMla*X^KZ&gKxKs$@Trp*+F?h-WAA^<^rv>wA5VR=~E0k@&!Xz
zuw`6ziZb91ctDlU_isV5Qhr&eJbel6lGKA`?r?AuTWVCDCjTTq+nVx7rkefPW8VTQ
z^d0!5Rq#>xjpBlMN1-gil24=Z=f?~pbR*x%-gqeX`8rblN!C)K_@4Z={)cmVm5EtV
z)|b<~7~s7hOxj6tJJIvR%;dPo7OP=R7W@`O?@UTz+0CS_wEZqW9u_W^-aCkP7ZkYW
zpCR|NUpv4u)twV4D@Qs-D%`0Ul74erpo9Y3o`93(l*}Y8L5nwn@{6P?P|Z3dUoBHx
zU;_(&q-X_y;zQxvpg^<^gr90&F}P&Lw{jDF@5Gmv@6+V;tU$y}^5)Rzd)E%%l)
zFmyla6?fv!vA`4Zrd(g`t>@x33W^R+)!ENr%~wIMX`Y!HlShs`4RX8-4xdfFrZez}
zpQpbjaljcEe-W>*T`D7d2=f(1@Jx2F)_0h}8Iu7Eeol(A)OuN_;ZQJlK{7#JJotu@
z$-%v=1v#e5-J_jJue=*g2vX<3%%|&;xBs~;2ecPY9T&%UshG-68H*7mjS_T`{bUan
zl>eO(>9LEb=#Yce-mfCWMo)fc&B$p4>=GM$wR;M{E;684jZeOfMgXYDBYzf|KVD*2
zWq<8Jgx0Y$CV|yH&iWz|9(QNV*1TSjk93NZjLf`g%DM1RQJm^EG+BPKUrfrR28@Qr
z#iV?Vv53CS+p}+lML+o&_^EZecX0Y~j{7b8%9a;rrHyG<`G97y_GtuV%Bj)DR7uL*
zw?BTMK-u;`@PF_W@|;VI&BF3c;`)#%y>8wWtj`w5fi796@|*Go*+j3bry6uDps()X
zdzI1O6KdQjCUBdE4qlm!=4~1tY#_jvM%V9ddok^%Oh-m-HL0sHP
z(oy(h+jFuxHq#}~?F$Z@=vrhuaQhYf{3st9l#Iao0Wg57kVD9aIp3fTEm)06RQ-B*
zuJa3Ywd+lB3QQAUxfXKx(9HOw&F06QU(e_s64!jx7k6rRatow<<^mL)7S{&ZQ=F%!-iD%BAalPnLvlZ4J(<&)HP&KIuF8$DIH2*v)y1
zqa&y703G-S3iG!#LWD9d#Qgul%vSepq{;Dl+)C4%vS<@txL&r|R=VgSyH!)P+%|@qaZJlr
zAif!F)yVu945#nA@#&!*aT=8_je$t9_pSqL+5m_G2;$4ng^9$<-GU#l6hEaX5#led
z#4Or>3voplxoQ6^i;4NSuTmS%?>A3BsUXllv?N_Iz3lkng`D6fbKH4PA#7UFvibDO
z{exqmg}qA^ASs8)&e?=@y2x=T_!N=&3#C+TlCki
zeFN23dQs7;LHM=rEp8%X^Mm8>H$tdU#a+<*Hxo>o{HpDm`O($Nsa-#h!TBqE`y!is
z6rV{r1osLjQ-EtPfNSiy@@sAwIY~lR2LLuYUTt(r**K)y_>A(wkR?UurGs%xhB?*v
zqH2?hB_sJ{c_#JUS*89&FR71`(%V_u|7>N7$|xX@p|5FMRL9}Y#o$$?pz8|QIqc|%
z1@wQF1XGx9|7lD{#@~hcY7GF)0miShfd?}VuTI$j-Ab2Kh_t=i#2gieqT3D?w;ham
zYMzxcGl=-;wp0IY=h0=}GxA%fM#$4Y`l?IHX@2=kos2Y@WPVwh5<*{9TeK9xw1nU&
zYk9=e{NJ=y&PxyDpgl8{S)1F6#(|<$6$(i1hgzx3>s0&Kx4kNAoM_5em1Jjmuus)~
z-~M1C*vhfo2Jx(VBZ}Ye>&f}Qh0>}uJQh~75veIt^P1zRV45A?hrRVmF#sQuVN=uK
zykCJ|FuiqmUT<6y7DXd`0oCXm3s?~e~JE&XfM7iAK8@4_5ARM
zPip>GwbrJvwrPdsnNQjkembhlIarnw{baB$Df@55rEI-1Q3?+&q0wNBj@$+
z&XpUtmDwOXt4AfPTh|Dzw~%a*Wu*k=v31>Q@2r;aJ*piauDGfb+e1#CDgE(g@(M%I
zTzEgJAk@t;v`MT+AXe=_e`UG|GGP7#ed#J#A*$hz-%l37asiMW-S72R(&W8hDPiFCZKex><
zuWTFH-s2+E;S>HjbqYEkw$H2mp{lp$e@Y*$-O1nc$+{uI&-@g!SQ~mTJv=AaD`54C
zX|j9}#4O0#s0n1owH7*WZ8S*1PxYuZbs6nT5oPr7fLo?WIQdcG2|?<|tukHLGove)*HMQqY48!E)7*M4cm?xs{|vdtr&{
zTQc;ZtPgo-?!|20J(!Rp$_8n2AZC}W4l*F0IMz7NLOc|LW%XP){c7DcvJf8|!v+ds<7t<7TR*wnG8b#gfG3G!H`H~KCQoKMZ@(I?5daWLxdf51CUp1?ppPE%Ib&6Sr$oIeul`f%1S
z!{&~tssC3oSI6P@hhEQum9B~Uh-m7qb}1QJtvIeIsU&|+`p>If)ip`+)y8G}dn!&xl${sLy3vul6M&8dF+0k)--@}|A(&(GY0J}+CSI1Tyv-%UH*Qq|`);ixdP=xk$=4;dbU
zD`ETnUz`hq#zqGr570%iRN3cxasv%=V|#l0CL8w6>&b~yWksp-OAQKpdRRoGthMsn
z%bKU&pFEo*JqD~p1=bN;|H&ACxA=HK(q6CB_4|93=nC_xMb)#ChrZQ&t8Rp_UahZ6
z$&!ZI6b+jcoggqOFTJzvfZ{n}?a4;%d3~KvjXK}-b$>VN?&;$Y1~>%;VW}S=&VO@n
zw1j7)^VS|ojP(Jh-7KEm<7&RVcSUMpQTXVP1{ATL67>C*h=+P;#m~{ti3R$^(#GnB
z5l}C|@S3#=28;>=E0&c&6XYEIt1P}59RB?{Ze&uiK5|d<#|3?T^uNCMn}sSpl}0CG
zjSp6!jB8X=G7RVjKaa1MJL*UwFmGsk6^b9>s9msGBt#KIfdql2echp40}>V_xozM)
z(BzCbExkd}`*vF&G5Aux;Y8UzTZpZp=tQaO5AlPIKV)JaibNe8gC!j|WM9#jJi1>!
z_s8kx>>XVdN)xWEQ%c
zh9Z`Q#2AOhKMB2R97cZ855|SI#Kjzp
zkLRtv9ZaCNB;+1UEN)4RX+f94i=P=iZQO7hHDcV;lpNl?@-V<-EaJ?-yE8&|F;{>3
zMoi@#hqwPJB_D>w$e_wihA}Xr7Y0?
z`(U;x+MtCDw2TdT*DNc)u6ogq8YOr}RxdhpFz|)kc~b*^Gb8`!eO)F>9e
zfmJea4*KDntX&wXp_86D;BWl}!
z`ja2Z7GAV7piz>0sAivBidY+!hi%?wbMyAmtdD?jn5y~YrZ9PGw_G*GZViQJGHU4Q<>TR2lhWK+a@21I(ypb{?Fk!
z>FGG(cF2@zra4rusjK50NZ8L(w%A7d5U7k3YcuuZre8c8a!DJ};jlrr;nsKUm^Sz*
zx*zj9bVeEzS$pbZ>d$PvzxG}XWAWFExk##((eGoSPYiGq7P#6NKKvIvrGBXO@nGvkR|
zEiS&0d1r;=#@OJgdbc5(z1`XXSdvZc;94m&tc};EbZb7UXMwT3R>~ejYU~~j=^iB>
zAbbg|xhA!KbyS7df12xJrS)Jr)U4MQL=_5go
z2-UMg(6-mgkQBYZCnYaLZ5`=``&Cu^t!TFSkjptLn$;8#0>uh>lktW?h44#gk#I#(
z(~W4qC(Q1&XdkU$3g|!&OrY#sgT(|#IcHcccCoQ9ApXC?)-#_-4L{>@-uV->jq}GL
zu5uj_d+*uQ`$gGv#^h0U;&2gfZ6N6lDfp0$j;vqosNJuU*`m1U*_N}P-gX{3D6!8q
ziNq&g7A>u!-g>RBfy+MrDS!_MB~hi0Ro7k;8NfORbM~pd}x04vRQ8t#=n&hzOgD4cw+?XBWwVMuNAp)u-Ce_M=;g8&RzP1wX9ckP3*5~Zk=C|_t
zVU={Bi_GgM0x#rQ!cUjhG(Qcv*>}NHETZqiiNMGeDnyKy{dPv8<7+bw6*2ebU1TJ1
z&^OQk|8`cU_T=y5=y$)Kqy~qt!=KQ!a&zPtAwW_e(CHyU5l&cFcqY49aI34u5?7I(F~1
zHa@v6SkSqR*?sd2hZ0zLeghE9iIB>yaaJk#ZYQ^|;6?vS2jUhqT-2fs&Ucn%;_=v+
zO}%^5U8zmANM_U|NSJ&kJXFj>Uck2ukbhLIbqPhmu)Mu-Z(R
zb?(3~qH;D70NLaY>5cjRe5rS}?B|%}*t?$`hxtnzuifi+e@q-bU4G%U+g0=Plfek{
z%^8#Uzp*p%E$@C$hY!qcaMQkZT)<=L)q;jWTY3kS`uLr;SL;py4~r-6WoNhrcvU~t
zFT>lEjgZ@D`j$_pRV8BET_5L1CAIdI$hUhzVfKw(;51@Eonn#QS@-O?1c=dIRhKQ!
z&OIeE0U|ycmJ;^JJu3ov4_@$j7N*Bbb4Tat%%8Io_;>`O9Q`3i!7D{s;uXUVuOzH-
zenH7k%369fkEVH>*IwjlEp?AW(^&IIpWU*?qR-N@r~HKyJ#AF@U(xMU7DWrUdR6;z
z8Tvt0Vv(M&nTAZK^GagPt+xAlbEi2#D!M%dE}}&^0LKEnWkhpx
zT3?dMPa^(!h!k%1-AOrJCT#}_4Q!(stPq*T9EK!XYlBeUS29$+C
z8MdMbnbp027(h4+g9NjA#Veju5VfGZqUJKOEfOI$LvJ8aRDBPUEyYZcdP2%Jafa$;
zCRzvSES3zKh3HrQ=?y{uEY&YlHMk%CGVC?E^vFnvaSLDX8QM8oIv%R`(!@1HzB_vH
ze27tfy6uI6@tb)g6o?X=Xc|&upZIP`eurUR-kipt95n1xM!4^?NkO(xfP|&ep$i*;
zz~hb}j`2#WV8H9jLLe1&{13+k{tzMZ!OBY7`vG;PphnvzN7Pseaw-Bw7G)5`M~Svc
z|6RLlzHia&vW!QiglMg`k*0gDW3SzcKU8>-E#u7^yT4(OwD;isuiN@gj@PO8PyYJs
z+v?rA%Dc&oNKTh9;_WntIUvl*6Jq5n$?&Iu74^7vCf11uMJvw#lt9EDn
zC!cwZieJw|UHlyd%DAw4$77?~XJT~A76jwBdKBfq(=%aj;iQ5-A;PM|bJ+!{6R!s>
z<#_|SWy|{y{(0e^6Pv}0+iS%C8TOYyS2`x=08#r2GIKpw{;lkjy^KIX*2GUpP}aDW
zL*Ct^7=Uevki`{=}
z>BB2sd=xx%?ho=TcUeEy5n|N@5TcnS{LFox!oP(+L5on?7UmA
zsA!VTO`4;33er6x!ey_r-GaD4Qg2(|#poEbE3o%n{pPFGecOJL3Y!5M7M_>>o%!r@
z=;!PAmmA74J%cON3cFl{d4OetbYme+y>~%T^M4GTXH?Q{7{>oh0TI)J;rfe~ne4zvnw80k7(^#IUJ~$^1mD#iCnYggp01>50CH8|UJd6_QwKNYrZiK`E
zTb4%*(gYBm16%;W=uHRrBqFk@i{+6}rG7Ai2QCU%Y+e9vdl?*ML$YZbLVNzN(SdJ`
zH-2&fWEy*b%YPxk1DoPs-~dqoBta2C+KHsI7lmRxusyp&jE>;aAP-6KWGcd<1<`Jp
z#${u$9L!^~>PL?1FOce5zluwEr3438v`{&RM7wYlfd0z4l}gJGvRQDMiwm-*-cnDq
zuZFOso9h3$^CkT!4-Q3aUpr%M6wIfK3_HNZh-v2eX(N33Hjbh#7Z^`?_Rn~Gs7A8z
zq!1Da%MlSH;Rn(~lmt>lep&1!sz#D6k4!&*{cL9mMW@ax@@TK(-tu8$??
z`wZ9`v2>6?fX4fP1SEw8JW`7mW{|j(LX!^42s5DjH@ZqHg@cvofF%c~#)egbw&^f<
z+;+H`1}5pN)vT#OzM|8^RR!BnPLOH>N8uMpY1$aGIHanfwHF5D-<5X5&-GpiV0H~
zqE{M<1Xl_Ng&-s>Z;4EOk@92%SRate`=4oaE6ILLh(KYIB-#6AC-P{T7#pUr0C#1Z
zpZTgTUWCXF@kp|>5CgAu>O1%uF
z1dz;Qf+9}ce3_ugD$Y@BC%w98Z2(Bn5)EPm)~&!?Jq?SXi()xIf^mLO+=d2ldzLOD
z%KKRV#YdbD#e!ti2yqhOQuq|19qS%y4ylj*JT|frs(4$;M|LIIuDttvtn~99e#2WE1
z)zaaT$7574fU0>H8q6`SAoLUn^NDPE6M>%PC^i$6T|g>PbW@y;GM}!T5H3B%De2t?
zu`YNPgJinGl}E$3$#7<~1m!y%<)A^)kkM=^)9#n!OW=WO=zn7wrX4ODZ|0PJz
z0x}fR;r3y$8bLOMhupy5#tEbv6587$F|zcMT5k~-5`@*M71)~A9e*gBr>8^{`(F54
zj0Csu2h&?IF2Dh|07*VuFYSkvpi>NfM5z^!L(9liJWl)6jrf3qnI{{3WTE%~XzK)q
z%l6$7j+r{)%9KGz^kbsvhzRQGBQjPCGBOI`K}!7?IsmIE25W;X!rL)oY;nt5KqVgg
z;;CaS9YL3q^8`fGk5LpEsQLPz%@~B!3{;Ee)ES9Q{Cf7tLHBNk>KaHckD&OtOH~kl
zS%R>8jG@9aN0`aqa1&k10+7tV#dwI9WKR9R({txn
zSUyrLPz+v!5iS+vEMgDZ3tkXoFKg%;n)1)xDf^iF%GeSb1y5sd?GZ}3VB-d9#1z3_F1Z8m#gBm#UV
z@Oj1d8=+@pe^dQV2XtBn3`l2B-VR_%Nf^-L0mk{i`K6`7FV|0;TNwo^q(HYH8QnA^
z+cP|S06BUG+~o)SFD6rfx5_=?8hpa_JAj~eHS?Zjh{N`u0?@1c^|Hd`<2Ozpqe%;B
zAXW!TD7h_W$U+bUYQRgDHp8Zsmx5Xgs328AKd!4ov5leHKyD8klOO8e{(%%7n4($l
z6kI?`0=iOjkWyQ!qJg)hTD0P0f^vb2(i})4XFt%BJ(iXJo(U~0!=!zXk
zy^rVuI!IyxQno2&MXLCXKB`Xsz16^7ZzeZ~R0!vegpbDYorEP@?-h82*Ne=qPzKi67C!*I5UxzjD{ODU_i*
z>3#eKzio{_I54!>>_B|gYy&_42~ywvd)6xL?9uj0#vgR+pU3^JSu5yYM&dhlF$M3F
zwJ`s*Cf5aDl1ro{ur)ZNLl~XSU`909thafFTBvBz67b{
zVPso`QAY-1;Av4_zX!OKI}XOtr}C554n{ZW_ZCxyV?Y`Yb5t;5Ao3$dQslm=T)x)=
z)OKKtRXnk>3z;}`gZY%0s8U#0kt=ODkOjI9=4Ob|91Dh
z%jvn*yQEXV)pU@`MnAe8lqvS*avtj{wD2#yu>8eXC9VGIqOrVzNha&%`hB!O&yJZE
zru5NHeLszmv70=i^*b(0FdcGv*S)8um*4(E&IG?YZ`SOp&@?TdFcErh*0|AH1OF`L
zubvX=*_pr37fu~7qnP>8)|vHnX^tj!z@-$1XIAF6UrC;9Yb+yD@1&u?DRI?)*
z@h9~iE7;aQs&@DGd@a=`e9)SEAy|6jBo!mR?_^I@m+3j*|HSXz{rN@lioP&x4_a*V
z+w#*}`=9ik`PsSjs%1%Wf8XEVo8R(Vo|x7gy*_n8v*IjNw*J54aO{xu8KmX1fQfdQ
zE0hE_Y2le_GTs>(KR+6`
zS{1aI3DYDjT>NxQqPLEpN(xW=R6q-%D|9-a0q6n(w58>
ztr5h5+@J=eT8=$RW9eGu@fh!GFqj^dLqcyHJ2krC7HTDmefw^7X{KH2{3h|%hWgccAq<1HJ}oXRn}yKp$#TE0-ivyBXBk9`
z5XpPGqzCW4h&XaiBO8;$a^&EZ65%)=nT#7YL)cJ6wtL}z$hJYC7TG#U-|&>>9c2=-
zL+P>&mrz0M`&s4GOf(j%YQS<7v37G-aM%|v4A4+ye4Oxh_((WKKUS~@piBNJaNP;@
zu2952I162zyc&j(Q$f{Af(e%#it3#pr99QeAScukJ)c_1I||Y-sL(ieW043J(b)`J
zMLCR^ViC|EJP~`m3F8Fojn|bliW+DwLz`xh`C&n}3}HInJH|XcYv#KAj#DFiwZz)_#VRsl7Hp{HSKuUMeB+SU!1tRvNg&A&$
zr6cj~>FV-_J(#`NGWg9X3m8mTW^b=S_~k24wht~?Ip$OT-t&n(u$CoV-w&1tNTyaY
z+_aF-$gRr#6%tcwu@TKy5s-ZO@@2vvc#7^-&*d{^1J0Ubh#J~rU7du3daO@MI&oOr
zMc%D_vEvBER3`hoPc1sB`nuYZL%sW?BSE3l&-FsBci!hQZ)A+$wZOM4BMM{w@m23)
z986+1&i*JMnFB!KEre`Yj_Ns!l)9dxm0$19@4lj^abs@2z_z9W=gufC3KB)hm8PNh
zaK79NgpFtO)2RSbr@yM*QR>Q!KtzQe=a
z;mAvwm)D$!hLK6T9iwop0r3i2!B5jb{KhE6QC2B@um59_%fH-|MAKhhRjGaOX(uMo
zIC
zDSfDRxK_`7%~)QL0*HnHjZhF!+a=+x;D6CM1l{J;#KR>9%
z$vQ}|(^L7eg4}1zy0Kf7MGLTbS+)AZYeO&kqC;>^E7W|qv3<$z-CRb2rvoQ_4XTc2
zAX9|V1JW*?Pj~*deBS>sppW-TjUKBZZmvaviBCaGzwubkPnUkABfsu-v(Hm9G-RRA
z`l(
zHOATnuLw)^>U2TZ;$7Z#`|iW-cAjM#EO;e`XYF8R8F8}I)mTcSvFk#oL)k|&>b+sO
z1F&6eurVKUco6EtjwJ(zZi5sLBK^6)|9{`(y$M-=$_yocVl>TlSoM*4l<)@DQM(_J
z^$2A*8Z4M}7+6cmEHFx3gKUd*GGDBf20zPDf1|G5sh%zO)y;nG
zZ0j7xA^LO{!|=t%g(QN83k?=Xf_<-p+45jfW(u
z+pO>luMoSG=~<
zI@2(mpy~iXE*I$+rv1=BXUT|90zfy~FN=sEzTpI5em&`%Jb7(|Y0Jl&wa1
zkzTOb{iiCBxjZorG+?b{#XC8GN1@`;#FM2R0AK=$gaL-tG(4gOBR^flroLYDJ;@qwdV@^*{hgTu~DwK-4W}6I{TLKSy#%0<001cjAmz1}&Ms-p>Cj$JG6EA}0Vhk(TNjH^_e1(&
zSA&jqtQ_@t7r7Va`{QZ;>rq!B_7Wn<{OH!@XaI8JGWexdMahav5;N!KrQG`dB4~d^
zmNj}(AeM$li>squi4HB(lvcS5;zI93WtwiiH!<&Yu^*fvBf*u?iQAZ}$^#pD;>ppF
zeldV6+Lw40z#~HN=x+!h5jgguUDt&Q`|gVAjypF^J`0eT`t(iIl{+}@vyjHAKo)nF>m-O~=7GYHqU8uyX`Y5I`R
z*UixTp90_mn5s)0hf=~USoW64b`5v2pcTpx0V-*heu*&IjsQqFLPPFM7+$22jXZk-
z`a(NAsQQX>%yG*=OtBe6p9G3SPBT{lQ-F`*pU|+
z)iwcAVVjTc3t3L4z^yTBNceqvK1mkZN|xl_67W|?~+
zv~*iE{}668Lc+xg-?YH{Evt!{jx?yw2N6ij3H|Ld(4xj7r+u!9yH_Xo@BDF9lw1a#
z)b?FD4^Z>eAu!i9$ctjwew0Z2R0rj*1}3(kZ2P>8@9F}@b-8O&1W-N|*m*n8Be8QV
z0-civb;QH=>WRK&wy9%dF(F;&lDoR4+szw#UjK*;KkP**GxU(fOwhI$I+@o*0`0_5b6&CG4KI$lTo5cJs>XN5d<&J^=eIIcbIdLX
z%}XH*BIHEqSA>Y4AhKKJI@vq*p}xEBcW#;d4u!#Nj)d(gcr(B{0K&}(d@Ar};`G@{4_h3Rzf5`J}8xzXq|
z!kB(I!t%bUq;*lhpPr`uK>N?&4ZUpJ>;Z$;fG#RJA_ncju7FI!JV>zQHDom(yoWkU
z`v~k{S15kO)Vc=_p7$NBODGCcC_Cxvcj&&k|CKB4w>v|V{A6yw@lW-JjpNCkYdYxm
z0`o9HWX2sGKyAY5vH`ltNzy@DZ^*5;AW!y*f4;mY4@R#qhZc)Ixb^#C>~gPaQkw4r
z|F3__uW!Y7zr1JYoi}759v6uS<3iIvJc0HjTYE#e^L&5@4aAo=SM;{l-Ix8^EVgiD
zJq+7lnbY&O-bfpJF?ymYus{UuTZoEs~`w+!aLlyPN;}u4;8#zHmA$vhi05ljl
z<%5TbD2djx%T;sDRSK*^jwf5m_nk8cZa*<=*c#|;=#Q(JjXg6K-_+e#jx~
zzu3zBqF8O<^M6O$&*twKpeV<}o1ZwA34WG5%R-%!d@T^`LkH1eNLzF#OrTMpxOxq^GC!izTZt**?S
zo9ns{ZTUClmZs%?0~$O+HFdn~YtS8a3}`y;&A_Bx!!gG!k
zkA`03Zfi1TZ=HxLg$wQ-G#W!%OvmMt~a56$1i*Z8?LGiYuyI21o)|
zfKBVje!Z?$&@)QjC@K{_&(bn6nH;N
zIrK-|3z{(W*~lZy=T!4AsZ4Icrl5(*?MwIyLcH@J*`5XOlc3L*8VvgXukBtYY=
z*q(nJ=}p+&cv;webKhVKg790tjiR1!?n7z#;n;9P1D9UptaBh`jBU_1irFb$z6OzG
z`hgD{>6aH&=Nd`)EFuYFIgvV6CBO>DMyz^~@J%|WI!9|(Q5SLkb4d=2VN{2=tEyqF_rHRoCp;xatj>dH4MS}?`qk|83p%Gw-8B2c(iYwI(;BAOyrX)K
z#a^|15TFUPI!Zf^wqx%yt9u6U6-(?qeTc}_e4j0vXflOzEz>gO<-b$Ar~Z{Eue*^I
z!7AWapbx^-p^356MoE1ymY=R#pVVl0WAVor9G_UJ7M9*kqJ`pKa
z$NR-gwEuD~mUUyjJ*q7_%1XK-a*YEJ_hYVFtY;s%@iCx%F63A~LM>r=0bc6=jT>l}9~jR0#3QqJfxuchvsm$698Ry#
zvTzWc+ot92cJWztxn2(DyzTm*u8|OOl3J$DG8HGOOf
zUVvrd)hST@HjJf-K
zMWl>pBaq(N`3OI4hFBhD7wBV#5do$w^W)^aXq=Ns0F9|^{}rtXtrKedkoaVKZ#5m#
zSfGpU74PcVD+k70lJ0@3rp4B+e$Vi;s2Cqkua;uv1~t>ujU$YCDqF@o>}d!9SSbX+
zClu)T$2@aKMW7F&2jxYO8M0g|!Z@69BDg1g{wUaBs{H(!WVZ!s^^jpt*d7D16xpt$
zh_YHw@pC(d)c@x29fodCMwTbg&FEKgd%gOd^mMaq2}m
zn|vB0{!D&JEZ>$xhLRB>iH?$4?H;QE=N$@V4qSL0s~#uaq0unmV@TpGs2nbL-S@-P
z$Z_#a$VQ-aWk<51Z}K(2uUvIdpDn{i6X#`H6Og-Gc}>~pOr`2W65jA
znK!*FOCQc?XqIoRyq!x}QY+fWL8hc?siDaTn@WyRzXM-e(i9#B(A6i|0==Wj+Jkvu
zpc4mk@tX3UtNlv-I)6>#y>;o{k?F>Rj~2u`RXKYOPxXE63@k{kdA5g(My|-UZ
zEy|;8_@w8+uCD)7gr*^vvW5-4Oj?GegR-yAyv8nu8tj!V+cyz&4Bi>?(57T(+m`m-q>yXR
z534G?Y#d>0$SH%HSau|N3=_{hf-x=musS4WW;NO?k*uX-u#guw7SA5aTDko%>FLq1
z#41O-__fc`Z#5M@*^J{HOzhDY5Hx9XIUh_NzSK_;n)Hl##8ih4OivT6Mg@YwH}
z5y=$AQ%*ROi2@v~KqdftkZOc628Qrt{FcLm(5s4@C7%wr#@))7>r0uj{9}kd7kNhO
zqHeJ|UdlwDpKYt1wD#Bej}4mq
zInkkgwKpy`tMqNg-}kxhbz$h(yJlm;KZP9tmn?ow00+W2+1UWyDwsBSH7F|ZUeyE5
zTV?Ino{Meq4qQJUDb%Yp3~Tke_UaqW`%&e?-*fB
z`u?0c1HQgG4Pu9AwhOZUY>jY0WGHTG7~oYyiAw$v_`iw{0U@@1*xa*eWM$iu*@~t^
zWRjBKV5Iv!q2=%XX5RhTToNiw^b%FZpj=C<0Aj<3*o-n&_()Q;B$F<8Q3qttza&%6Pq+Sx-5k7U
zEdc3QNm76m7$Ow|0!-Moj)nggr$2;=KIt#Fz
zWzG(3Ow*Ew?TfLG
zZ^mBW?9~sWnH1}?O>pAVj5u@KMD>S_#9}$5EU6W$f{^VxeZ7@ZvqbLcK#%l6cUSx#
z;_MuIPP;MU!@3is$y`p?)Y<)gilR#g>)_>@Uzjp!4-X7_Gz&bJf1^;MkAwn^B2Vk0
z{&~s$%bm6)t_qNn5}nLhy=QbN{XUi=*Z
zLcEC5xRv*0#0+J^8ogdZ$rKnHP{CS!@RM=Nv4_^AkP8!Le1WuA+uZJbQ};sXu#kF~
zoCRxNP_qsNQa+inpDwmtJ{@xhV@N`yHVn3b?K*UR-n`Kl=!1Qy#Vgt5lQxss3pY>Z
zv}?z!V#JLxlY6cPS*J{C4MFJpbuxmiz`BV;$H&qKpqj|5ZbD;S&mu(MvyP$1VY$1i
zeJ(d>>m2B*0v`8R-TVfY1x9_CJ!$~LHV6Q+rn1*5tbLQWL_48_ZMSlXO3bNjxjA6n
znyiBKY>v*g`D=70#>e)N`ikfb!Pn7j<;iqOdVHLBIEd~s3Skoc&Ql=(5gxFaSwiRU
z&rVlFWZcnkvL-!ZQq_K}*;u{xRs6d9^#<8%Cfifm|CHKH{V3b862R4W_R
zm=|z*wPK`@5IkNZ>W}a%B_X4-&51dCQ%9%$^n|a?(v3G+_tLX3+(Z2R!-#nLfRoCQ
zi!PX-_pWyINu0hJnq!G8k+fD0I;BTS^SSj=ji2j1C#cc)i=Xxy@S13IVba05K_7E8I-q!N-K1#%tA6uR|nS-k1lCOK(?`v@I&!^j11_;rZ*sx->C=
zY2`4NZu8RYPh&}`lFE#s--S?OkC;I80yA;a8!gGCfy0*I0sM=^
zpc(ZbgCKh568^;<&l!yiJAivyUoa%0jaul<(fNlLZtlD)&Z$*Bezd;QqPM4%PqYFZ
zxjOS9Ig`l^$*ETc5D@+7;(gJupmMOQT6VZyoiNPj3#REne@V;tz0vnne`>x~bZC3@
zt=CwrFRNfw%3;Rq7veg~D5b%uL<$zlPfuqD0s{2-TE-!(%n)8i0!+`*YAA0xU1#)F
zGm%4ILRzm{+JJ3TL9gXKUvA#x5Wcq7QtkQQ+&f9L&q@B7*LkPySUna96)H$W0gAho
zxvxCPb7r6Z+`b>&jD1vSAor)kX=aL)Pve*&rxFmf$
zDVy&Wc3)oR%gqM#neN&13J_wbto^0tkVtqa4T69T>6U}7xUgaxM4iPvWx)yspjqya
z$8QM0vE2D7>ixR$mPuQpRdJ&o7arNYTWx&X6m;-q%*%sSqtWkjjI5Zn{y8&rO?XW@
z#(j@12zY-0BHTttrzxU{%kRM}?Z>m4>Y_OjvIVIDC23vne=Xn&j?b&VeIJ$J@kc)g
z?h~|4;#K=Yd_3R{lxJBHGd`OjD9i>$-bJgE2t5|6*qKFqPK=j|dV0qx_1$taex<0H
zprst{c``T5MO^-%yX!>s@9pY9^_YJZ#n#*m@>P$N>Vd6W;qa@YdozPrnsN`It~;6g
zZ%SBfeo{s66>a))s96Pdx$MF{wH&kOi2mXyPB2KSE`&CkaUPoSkUhE;7s%?M)l_ls
zbbX*gZjJ6;mH$R8`~2b0w^I7PLx@TEB`84JwkF-Fe)rMq(lYqBpIA~_%oifUy}-CT
zw!d>mQb=+iuk)<+3>nH|P;F@xh{m=)LrWWfz2k5!MXDBrZ!_>ZqN8
z)Atc?{B(SJW%8mP3-Y+Ao6u9V73Psif>PN~cL0#}MI1X=QJr1wGM1ZkNA$gHLd>aK
zqA&fpZsC1p2PakHd0qLsHVCh|D(zY*6$i7Sflb(7E)^a~)db(}i{FH2GMCprT96}b
z?mR9NKd|zp{ag9_H;)9vMsxU2jfDM7ZiD25-B*cHhNmE8zzGm|3BJ7yoXP(2_>nix695
zy!mu#M4WV_gxaz|5+nf2$&!cop8F9@H2LawPmMVux&Ng}IoPlV6ra|@9U3M`qrAOx
zfxPvWbx%U}s^9(cOX618C*u0TJJVX}TSJg|osB6A#LpiYhV|*pKKW`Egk0ZiVyuz0
z=lJy(b4DcP@-^w5BA<4sf7g3gqotj*&DGQv@%o{8B|tUO<7}D!@@!#rL7fdvm`OiE
z>H#s!z{lS1sb=qH7Vz)?>(UQOSFbP9vy#%?OxFxb*N;T5zuc?$-dymyx1M2TcOK=Z
zno8L^0vOlrb4pz-7Wa5}{2v=~XfD&k>SApxEFK>Q@FD!xP|Ij^-fl!G$~JW=wS{{^
zmz$?J2cQKEyT!-goQI>&wARg=qgWzhTHz0I>`iS=x`E<~uR)h)eIzx9I{ncaKs
zTzKwSMj416fv~;G)zh_N@|+X5exSZOVv?_YSL0EdC
zgqGmT<>oJ%R!klGv%5334??DmdY(OadfeAb{L#4p`i(>U`;s(?GwJz;&C-{3KGWnb
zjfz@ge;c3@Xz;L6h)wjSF8)%_Uk!6PzayD?%v6SKDnohy`2D)kSqRGrfFD#q;1yaK
zlYrAo5sW0mgxsQ*M1NHq$y3;&aC%)MdssuwI>un}jfPu^Mqpdq%DU!6x#^*)#+5e2
zo=QmZwp?M~J*cv`OB=#r-c1@v9@bOtIm+f4`NaFoY!0g#WOo6HgT?QQwX+XZSAr5@
z^!D7o)1YXR>#m`|?lwd(iX<4WgWsxzkv!BKn0`QzZrt0${=#c&uH(~V->M&vIAeXA
zh{CeALn3Py~D>hcVahv~e-Sp^G77r}Q^J{Z8
zO8{-V$z`oh+ztD?4r}S3Zn#b=9DroIsE~oERyAk$GQCW7iA%SGj!tOU?0PX_O>FzH
zx&HoX%a`>(kB6K@E_U6lICyx9Jp97%$8G7*{T*AG54C~QMd$V7UV%wEk*9aeV0|0S
z1LSz12lFYiZpVgYUdfEW6`cUmgagnxr3M@wu&c@8a{S52L3^Kg*Ubr>ZD6$H&4klAf5e`wA7woc83$J$e_d773!GIn3B
z4)|P*fhq$u0gPhY$#)1P0Mc(f&HFT_)l7T~VD!Df^rDA(2Oo@(x?hMJN#2j2eJ4jH
zneep$LAZvZv)uK9l*!7fQDGul%v97Cjw^M>;(oCxd#{K
zPwbD@&+OZO`h=5o+?okj3-Y$LpQHof_O}UBokV#Z^k1
zU6qH?q_g6M%M|DO8yh{|3NMUej=ITwp;uN}wm3D;#2ULv9tmx6t_66WT6R&35Bod7
z>jO$~T@ku|vc)_M7dW%?yJG;UH3R3frtp9VDYYpOk&hSf;7nXC0>}w-po{@|3@yO6
zrXlO3+NBO<*laZm&b_Yow?e+^THeV+NF6|7soEA0&K^bQd
z$91am9Ij|$XC|d&f{5MHICty775T$M{SUN;6{KN5ULGXF6ir$5b+`yizz~TKT|&wO
z($%gZ@Oz9;Mfqp!cm1uvoYXiayrO?Ffv?|sB`B8NrtmD><#@yv`sibHR@xcH!5X@I
z+?*f6=MPve1Pov=@}P!nx`?cGCV2?}0`d|iuCQN?0tA-zC^-W_WbwqnPypc(bbLiZ
zmc>@m;*uE()&q`NNf=$;O|6O)H(|^`$1juC?Dd7Qzi~b`m;bcr1r^JIj3Jh}^!R+S
zy#Xffek9sJ8h#|WAYIk~oT*M6V$xQhV(T<)n9!SHd;Zkc8Bo==vF=Fg@mXE@QsX?{
z!P51lw?~?z3WRMqw9(x)=%=Xy%zcmu;MoH+(dsC4*d$1vO+>30nILTDK$013m~sdm
zEM2*P3ZgMTnOYZoNi5#!pSVX4#P(nXaZmy66wHp~@k9j;*N;(Sx~_-OC&z~n?!@%T
z2^vP6?h_`vob7HeCr$aQ;o~+vD)le&&T={2EjVnfYnFz#XgH{u~(3{=Ty0ndK+V?5kA+wYdQ@tJIU^qosRCXCUIq6LJbd
zsF?TW%Yc7Y4J^zcGgwqGyX=r*ecFvYulsOkcrs^|w5X>1xAZoER@hj(;qy8N=`9}N
zw}m@wufU3dTLIu)JOGs|SoI@E%(yyxZ&MClXzfp~xp8J{U)+lb7lhLerjiJd#DDMX
zFd`D4sDV1nDs^6c*L!ngY<~)g;YgdJGASHUMGK1gh=$I^%3B?mf<4b5Xdp-u9)jI!
zJVCyz)1ZdT5!pL-GSs1PIyEZi8}ovqI4<<2m9`}unL(}~q9Z5T3?{g*NozaN`$&l>Q6mm^Vi@0N<|z8m7>KCkI3ZKoS5QD*fY7npyFE=VSV6LP^Z(Bu%&A
z4u~FjpJC_{1le!d$;034VG$Oo*^ER`z#}{6+4k9@Gj8Onvj-^BbPp+F>iKhwt6u!Z
zT=~Y?2ZO*IH)~hpfp3({nm4bGCCe$iNqMY6-^hIAFFQxj=MvJ1huak%7uYj9s>zSa
zM-<;CPE;Ji;xdjcJL(9~G_Htp(o3Uo0-3r&!S(0Mv6JBrnO8mtD6g#)Rgz%IX!Y8^`2o_%Qe
za-~{COFOH+a88Hf6=Ej)&b%WZj`dPMdW-N55rK=h@wp2_+#jtE$);~G5h>@9JC
zsswD(pA?#EPPq7ej0~MB&Uko!xf#Sjh+)sG967MK=ga7&;Pj*z^-#5lOhl~m_pfg?
zdPKvC>Ej`5c1-kuL{!XI(Cz3JZpQ%rr<|jpO{-jzDWoolw+x+PG)6&h5-~-aE#07ygzAfcjVs)!K3B
zzfp-^2KSb{Dgb!Pa{6j2Y_>kdLhnlJ=G12FlfKt+V$BF-cVOw|L*vSRYw>TNNb>;T
z&|x2_^!&x5|8Yq662S%HJ#R!S!2Q|h*(17_HbyF7DC!_W(Sz`1>;tQ7F11-(_nh9!
zBix-T+@*QdLnP#B{Lf69ckq=6sB;Z@C_DV>dxrdmx3e5FIM%7i7(`d34v^-QJTe$!
zG$)}oIVlxv$c3FPbWZVeQ3?Xh@flKpkS@h18){4#r2;K}=aUVGJDZ#~El}T`L;Mei
zoDRDDmF9$`R3Xa3y${U4w{T8vWRG+TJmX#&D2GZe_e-0D-gZa4~R)|uLmvRbflP^ax*tNi<+)glEVfhl+MqQrIAZ+l#&jXLl;GW;^SNT(;T%ssh
z0!S&b4>*yN_>ae(eWXiR-n2!Z0OwkRPHC_kHIIZ8P^RcdC()nznsJU)-l
z@qRs@uUhHc=I{n*50B(|UMGZbYlr-ye+??NHNk<*>XsQth`V>xnaNJv<%wbNg+fxb
zz5E(Ww(?Sokm)bL+jf$^I55)Po&9+%%CI|>(FIxpI
z)+FaJkjj3jRLmeKG^AFQ>p0X7U2PAAU7x(#*$6fVSn9mJG7}E2p&8l$U2de*cGNSA
z%-$Kbt?|l~89j5|a|@cCI4Hg;*zQ`e0-+k17p@)96r>$;3(<72cWI0nZ0KdkyrC+g
z8Ml$WRHohC7aYStj&@w{7YDA)pqzF|hK!n>+zZ!%P+K{|@Gi`d^j!f#?J2(6wk~nF
z4c0W0HYNDfaC#(?t{$!6
zn|{veh^?WJrs&t1F}@z5-lG|sGCY}OKuL>nyU<#Dki8I{OXacU!s&W>BN_|i1Z=u4
zzXy{nfa-zd2u^wcpr^&q98b5B$dKW-mEsL+
zG@yVs#i6_rU`!891$;B?U`bd2p!C6pW4cZjhc`m?>=JJj3W72hX+~`~bO(FxU!lou
z3{aan@RG-0v1jfH
zV9h=Kfpr6BHl1o1*ljz0U>R)pj(Tq0gN|I{f|f&|gRCBn+>~QzKap!0Ne~Kew7huI
z4@Ws$aKt#4@SJtX_}l9`-6zpJj~dHiYSO3BVC
zpq;yVmOmcQ!AIJo)byqT>yGdT%kfQ-43C-pnd0+Yu=DC1E(5A+TU>p}wk%UGHYaMo
ztt=Vzy-@i>C_}cg2hU_DgmYBvMRbI{jT>sGLFvXLIkbBAn+S+(
zpm84~1F%4bd_^@Gtd!5!d;>O_3(+U#nX=hBA9MHhLXLw4Y9So%E6%-{F(1gBjzpYA
zE-gQ#M>6m$#MN+o=~D7NXm
zBHwsyRYg}D3s$m1X@=9~jyyabLv`EvI@a`{yto2>ZCdkDyEd~|XQEdpgueBQtwKPl
z0vu>Ofose#Utvku8HV_F95b<
zsG`A7F@3U$6Dpe=eZ6#*rPwpC)~UQ*cAd(E36LR#iFRPbOPYvBMYF$gex6kJ3|>!N&*LL$sBvY~4(nOcO{P!qG+d&egvezRrFUloj7&wtV*0djdwd0W{dKgyhud*h8d1`R%idz%*Lo*O-26CTSF
zWr<(ne5Tg-kc_mnsT@+Gp?}i%O&JLGJ2m{~n@Rgdo4YP^evoNyc8@a%#$)eCqkuAy
zhBF~SkCDrXEf(#LWMu5Bx|l<1rMx!YK=@Sq*)yQSzc*E<5^_|knSIG_
z-o~AyFeRjh^Hhv@TJ@6CjmUl26L4(v{^lvkZJ&d1aeJr`
z)4D`k1Ov*>!?S3J@@Pe%(N7ylHE_0Pwm0!U^^2M3t{jba{0WQhz4Bwtf4+1Q!%p5-
zEmCf7HxyQWIWE(;y(U)BYBDoR=8bE+Z2FlZhyu%eHf#$vRUF_SR66-Jm{E-GwaL?G49_UTJ}NP%6B#vgjXJ-SdX2Ls#sJG_F=)90-HA>
zwvex}Oi^l74isSN8$)mrbbBm{r4Nx*58#CaRm=N#0~@VabXf-EPROQdVTePKsz-xY
zSK*~01&5rzD6^tamkN{kPZM3YJ{2heX_HO8Md2PrVf=R?5}7U)#=tbo>=x{jt}mbm
znzH`9r6>&~wAGu5P%$ji2Y_>tjh<753&chmj8#Um^p3!v*4%;ug=$CA23Ojyl`5E7
z(D9qA$|1pZs<%S?P1p3FRF@!z`tFt=4SQC#PvwNc^e2f?(;Y9P@)Da|cOBjrTWr0I
z>(09D*FVDu1D>65);4u7ciOP*R^E*PnQKNy_HH&)1Qe>%FA
zn`f{IPxxke@xZLdASGMN(P%tJ$??JO@#b1Z&!
zZH8kyN4>_&Q>8PiRZ`TBiksY+m>3UF_5VoaSan5EL~$v|>{bZ9k$!cc7L{QJ235P#
z;nIiCIU9gN@=PYES34Gx9M7sLWjWJdIh03F`WKT=`2=u=&L65VDPzSbxjvrwKn#w#
zgMo76dgdeyaS3{uUE{1eF(5=8#xkG9K15Ddf|)!cp!^V@dSIT7wlUZ`G6Ux{L@L@`
z$h$B(lSN6|801}m9_lvX5Bj((bu_O!y5d&*JUKjCqYe;^XeeWjN=g7KJgjw|{4zOR
ztl~oThYZYb5%LqmCKmmSURjwnN}O*i15v2oa2(Z)XhYoFp?+g}@!CQKDbgX*xdm~Z
znAn@2rL*Ho2-SW0P=4?vSXfvPFeS`TZy0=qFuV{~n;am^#YrYkWB-~
z0{v=c=gf7=*}&C`Qf+YKVO7=fyDiBi#bJZ5ok3@cs_=@01pS%N5MUW#PI$n(DylI7
z+k%VNv8rmHwP!~aT=KPGZ^G({50B5tyZ%$-o0&V;16sHHg~+h>FDwVjm4b
zxlQ58$A#@SnY-?MqLZ;h$SP{Fui1UnLH@BuFQkCM=h+m?eIlD!KEYhw~GH)g_c>@|ScUYh@C<+df46rCwV@Ijw8v%w&-
zS=oM;t4B2$CnAx`R-{$35&l!b{ItL@{UmwUZ2Jo_EpBKyMp%we%4K%mNK0afAZ
zeNew-03Oy&kAVTQT0c6c0>JRwqN+>MF3{*#w<@$olzJ4HC<6~vhQ{6+WIu*>pgODI
zS8v8sh+v-vgvB%xanbV3J^>@aG^vM?Mt>mktIceTdksnfO5L=@Wy_P#B$>e7Z0}bO
zS9%4ho#gtQo%~SrM{7vb=55%Xtz1%3-Mf%RhqliykfEZMMuf|CT$OCN2g)z}2fYlJQ_@VqDQ<+52gtlSIKXj+x2OTo)z_i)A6nvE!x@hZJ^LprEx8$
zvUO7Rf#CUt!hy@`9zO23vz!zpcU9T9e^}4y+k4gft8KNJH7Q@n*7u7b2-q`ZG#Bez
zzf2gMc!I(|Lda`{)WxeY9r4Gxl9-`#{1Ff>n9Py%531+Pu|+GXaK_S%#!3mIp1<_Y_TUhi*tn#N8NZdPe#vNNO*_YN|-gGI;8OuN`cJ4S@?gTe*Z^`d3
zL?7vHeznfaRNB)U<8eE(uPphclB49eE-H1n{7((_m6v589Rv&z8akK!(D
z2nsn(FYwpI{gym>p&`&-H0b$dne{OS88
z+;Upg^O;sbQ4){eF>a+qEjcERNY|sa{ldZ@p6M3hsZ$+7xIo`9e6{%JdcSy>LvDo?
zc*yUfb4HiCgTbvlzP7t^E$Lqw5o`U-);ox^i>46zwsP@X?};l3I>(MM@~U>9HoCeS
zRt1mtGS%NQy`-hyn`^cgUa68t6Z7&QCBgAb=jo(m-jTpV=jXZ%)l-J5z6P5bH`a)z4CcsN
zfmrH#{y~Ru2EbhKcGWjZy*%PED|{v!agB`$Aw$YLM!~gb`jP9c;6vsXU8koXsoJP>
zlAc+b4c8>A*mdW19a&xcx@xLysWeD9uLsSV-`q~us>5X}g0a}hOrXhQ21(bmIL
zSf(}&9{4!VuIpk+WoPUMBr{{X+b2I&7M&AVeB>KOjMTLkoxahvq)3^J!hNmL
z=d-tTjoRkzHd)-Tn+sA2mXBfnaF%9KU(R+)b_T>3H5NN`|ri5*w;5d2cL_w{ZxHWmF9ecufN=*84}L^a$$L&>Iepa7(b=oxZ;t2aSo?6
zGpyEX5e=jsp@?)tNqe}S7Ld(lRFFrT{%NzJANId@_sG3+Io;kIw#Ulo=gz1JJy>M_
zJH)Z04PTA1)pH?6x{+X(5&t2KnP!Z10l4WMjLUn&y{C7Y*_;MdL-|x>Of@3GRlEcE
zPi{8y;v*09oA&Pcf0W|DHA7(stT$IfQBkU~cY6_Dj_Bz~rCD9b-+EC4iZdLH-6GE@
zabxd6pxYRa;y^HhpAU{+hQ;%5Osb;^u!-=nrnE1&y&NIfLzHROD@Xc2M~;gHx7S
z&IAx(SKBuJ`A9uov59%{ALLcH9u^u87O}^y9_B;TG4Gh)HpBJ{sXF{RX)yPZl@m9O
z1y2@W2-)}mnx>#$u#J1krQ0%G&}lJP4}D2!JRQq%*~X22!(67RXr4f1Eg0)sBdG=g
z5^$7vFcQGWyV44*926r$wCJviUEoHG}*P<|G!KNdNCZ
zgp#zBfwFgDmCwgotODuXM|2Vu+9dd=Qz#1v#(`=HT(Fltc%RUx2pScM&LZwq^84k#^0n^kOfm@nM~@O(Ws6gcs0r%UugoEQuAauQN@@fLah3%
zwr8P2Kt=M$)fZZIoPxD}t5$MDyr&ARw?>38uox+dE#2H}T^$nhhK02NLC4q`F(Qb@
z##c-9FITaHwhBtlkim;XI%Y-c{dG#eVY-8Pc76qa>)8@flwGeOLX~VdNeGW(C8aP?
zORN~%8K-wJFJK0Sji=-n*xVrRGqx+X0#kN>H}%EqmWceepWVe&glH<-#JC+O>mi1)
zuP23yh_OJ%EDQ_KT(1>9AcUR=#F1=bEydE1viG8PaoQtfvGu|`_abcV-UEQy%6Fsl
zLr-QSDG@=(CaLtrMa8sG!!;clQ3Xty-%g
zU4sbL4N*5A2H%9!B{;c=G@)oIfD!4NCvsHxk)4wZ$%O3erz}JhGbZX$B@69<2o@&<
zVb4>IY9tauqV^myI@_q(KVFX+0I;6JO3X``NtT8qj56MApr-WG=<52MKz-FFd2dsOS@9%gSc{gZA%b}e)i#Zg5ChwvaMrpDCIr+-y2FXcn~H8dIefwK
zr$U$k^!U~Q73EhS5AW54_u^B?F4wYLoFqAS+e?EBWbOd6?F^jOlNy~G(p3-;6BJN0
zt7w%-NfUjUP^-lkU>gd^8hwARj%}GITuY8u^tN9BSpUIiwKs%kX5+f_f{@cpi-Ctc
z!Pk9?s(~;6dov*r^`b5eRLjejm}o#Hbb`)X)g0%xDI#hmPOJ)f3e;uC14bbEEm2Cq
zhtbjx%-9+a1YK21VR;$`7=g6?g0y)zF$xR}MA`P5DoSHAxMuQ}j}oT!Fe<61$%-Q;
z_l#)879SDbhR<3DQJycObeE$aO|ujl^sP6m-5kIqFgE5I++Va*X_ZP?t;P;jqqjB%
z=qWdeMV5pyTjD-lQRQf$&8`ULM@GFRe}G2}n=gtmHhPd8n`V&LA&^X5b$ow$YWBt9
zuvv99NSpsbI}f9NK;7W41o2{in7^@-P0vgv>+vW05$hH@1(QCXVXl6BOTRr
z7(M$D&jM-fxJry@mw22gj;&F{-!QuZb{Gc4RhlH};}YRD$LxB%wsa^;k~aqd7JmAQ
zlB>$FEnBROid=729IQLNCbdUaij$&p+PgMUWx{{q2TOgn84U+wsnLxQzIEZGfKU!q-ClJZc^DY-Y~77IiIN`|+8Ttfl21NtyJBm?Dfp)oS_8d2ms;z_
z9CIIzM&=FD`JmO-l7M9eG59NsN1Jh6!!Ex>>O=cCm#;cQU0tsY2kynGLr4EjdV^27DrJ~?Tn9~wZ
zp1rBZ?4bv>eZZ7fYn|OtdL#N{U5tS35i@4NL&@9V*_mW_4E2a@H%k;u$>0T`H%GOV
zZ{51S?^(oGee7+e>187IBk}%WEV{Gl<>P1n)l#Nal)_>~Vua{tlj`GrW`|`<%}yv0
zt{-^d|CjJei4le|ScJj8hBmM)J~PD92s!Q%!vOsA7VvdX)${}yCL}%{Aam~C?e{_E4
zbzBdfG_9-xrx>DFgyW;pdxE7#DKY^5x*j_*YW>38W!(`lB?=Uy%NC<&p^{wU=_{B|
z0`+&*ZXY>j8-&EyWTcV?Hik?MX;&hyNC51lWR~bZzZ-vnOI9;@SEP7q`);prv1Dr8
z{YpOUijKz3(@D4USC?$__6G2BzYN?}mx7J3wX%0ccwHpByd$&bEubfun0MspQ*XpR
zk;T`9+*}Z8%XmftLNV)Rm6_OMf6occe@VV&{3XCKpnFP$AapW$;Lusj9CdNI)
z92{iL2@;E{@fiRkHO}r52;e-xyvz%owqJE3GQj=%UV!0L+y3@g#fR+Zn+yug941R{C*ZKMis3{m|~5P(+{)b
zqJ7Y5)d;xe2d^QRm8-$Oze*|p{6oEjX1DNF(QXerh?Q&;9C#5RBUkA6-&1qes;_+v
zL9XXt@2)4cg0VMluUiF67|}4EKHPtGBVE$5p*&}uASt!Q@-;FtzZy~9_X!`P4L{es
zrC|~qAcSF=FruPC@cwz|X^&6eZvCgQ$$OR&^8wn%EWrj(y@YDyyj7o~q5z7s1&CN%
zQ*0O{71QJC3_Soa^`e7}TgwhU$A%r+7nGEmGF;z0q_i%@(L&UU_FWz*V4X^6#7;S0
zO5F)~MX;;~G1j&Ds-o{;Tc$<54cjAkA|1s~#mWbVhrD?Cnp(dhJP7At9Z#%(kpseM
zk&cE?fzmKAMZ#re!3=|wuON*I9S$T#vB4_Qc1
z9x2Z_*a{@W^=tdG37P?SdHQv>*$&1jn{b2r!2%_x^A_0#mmKp@zM)=Q5;&E)xW
z9Uh7TczyBLjlWL7Sm%wS=jK6>YMV-vqXu8W?!&$l0q&Iih?XG7ix$9gUo9y^+15t9
zs}NK@PhhxX>u3;eh{A|oki3q?-sRA9&HDu#8B>=~LV*rS)+*1mWwt+0cK3Sn%N4hB
z>CaS%2uqD|5t}|R^E@P-r+;J`Ag{+QS|9Xw%MiBoJR};Vbh@s6hXEHZn@l?A6@99W
zX7C8=!MPrePWp-44RaF8=rY}dV8hK-eo7*6@M%c=#`5lsM{~m!d(K+j`~4&Pv`>B1
zV^^ssdd~!2dtavY>1oI<^NTWx7yKA6thtcmnMm2FYCBXMfZZDQ#bx}!ig#VW4V;Px
z0ivq7_U*33Z9(HU;m+c~bJVPg9T>q{3@Hy6dx)+3F-yiPE)g+s;H=d@cnF^^=76`}
z{>vGVZmWox(+Y+RCFNfLsBr}Q&P!OU|PY$kBo;k7wBL*aG2h2sYu!kYAvfam^h8Sl$j
zJbk}MAE-cHmIN-)2L|ytZkSe}1B~ZZux8YYH8SwP{%9zHCfTV3bPz-Ys)^1X
zSvx|K=^i_<{wfn^#9I&oObzO^4hwJO32enD+U3Sy={8Xij+|#O9Ghhv5q?c=C9rh8Rf*1
zOI8KevRj@@QxdL*m><2~j0>c*IX0jol3lV81hJqlgQwIsn;%<8F(8h*gCO@%Mi2KV
z_6`s}YbVD@ULGax8?6~sK0)w=1AD0x;GQTyHWctR^(|1n%xBa0TZ9JnANP`-jKiIa
z%@3EnxW}vi`QD=k#zW+B8C&LyPdz6xN!9d;0ne`eHMTMKd?ZUQ#9=M^HTH4sW0h<`
zfL_wO7Y}<7VZ+Uq-`81lbi1%kQmztc8z1^Fq8-a{=fZwSEvO&XN&97~GPZ0z9~qOj
z@cHq~YiVCK(dUJo7IWGRZXYFcXPo_@jz7d&rfP#L8CNW8x&NjVSA=Egyv8?~8wfM)
z9wX|3Q0^gG+UzM-3^2-l(-x~-C0m0SKGZJo`^u$H?*Md2I7_)6og@5oO@-CGtWhxF
z;U^-Os(R)&NN@mPfsaqeWtt?<5>>B4MPx5ua%O@h%x8jR>dB@mp1tvMbt05E&7yCO
z?ATgbb<)q^?TK67kYg${KBSKj8c!=2eZN4YvQocbpK}mqGTmN(4hA4>vD{LU^dn|X
zsVrD1-CXU+)(A#8S%eTSvxMq_aGY69d{O06z3MsQWlO4Fz6Cl!j8bS#3#W1MCn}E2
z3a(`*gNe-m40yAg7hr@3nwvct_9yOTY3b%k9LW#0$Q}vNI2v4L<|kz_+90}-Sl!w#Z)mn_*fnYS&;o%qg@jPZgc2JbJ
z15Dkj>*ex@+g2RQ(HciXPr3QlX0Gz`(FUXI3&C%S%6a?=g~&hES*{3RH;MrwCsL^pXsr}j+beMdvK&xL}u}TP$s~*Mw
z?a#A5_zMaIUMUg^hi{7`28=pa__LDYK$F_**bgw^2p}L;g*UyI_Y{3!js*5>4L;eM
za-~SePYh5FxqjkVz9UbxN7|p5bj{j>H`YQ43PY
z50$Or5w5AVViixG{7Sp1
zSMi`cyk%du{RgQg7Ek53GD_l%R!-nPGU1+uX_SL%aUoRz&^?AnrO~^N$+Ev3=|R1`Te1AU7=3lIwEr1?jdvOtYUaX?W@yp=U&T9NVo)P|`ZO%Zrw_z
zHGQl6@pV}Xhsr>AFt%t&4??=wiSQ&>W{^FQ7lfVu
zPc2?O8n>&jM^%EoQl@M$9FRx<$hn$J`bQ@@sj`t#BoT=N%^>MEf`aIquJ>DMh2e9{
z1(H2s!7sBDcZl_d-*+EYBk1#Tb5R#knn%PIgcbS_g}gU~iC6lL6x4`*BwkJqv&GH~
z1^}}#sRVqcl0lZqgc5pl-!5V7*+2Zjda3049K+NZ;^|`p-nojfWH(wKjT|I)i27qp
zM8*5yQm@3hXT!$Qy3TeH=o{UjD}V)Z7sE<=*O>!O_m
zVT^%_Kbv1382UGYRhl-@R-(Y|QHTj!`ikr~V;
zGOCt|9w1`|;*2%=6rWRY<$R8~J`_sX1F%pL1;=zViQ+Ry{Q!-b)d+y8B@TjBZVw>i
zp`&Z*S@2{h1y7C?E}kkC?_q4zVQ`r$InW|{jtUPrhAP8~9&JW7f^gOIM?DL0ZB%#=
z33XZtRRM^8N`RgSh2E&$(#=^;W&t2q{OKMgoSgwYr_Z-SfPDQ!|6)JPYZQkYJI-s&
z`*oaJ%CeKx7j3x=OLm7bi?f^Ke0fwjmxa)Ehu0gRN>{Pf;fVsfWGN3gE*SlSjH+}O
zwW6psD-oP+9I$L~m;iPR1UpGZ-J|Lf;tyeGL^GHM_do2TujzWZL)U*o*Kg;EUpcyc
z73b=~R|w1wA;lIeySEwS%1p@t+>bI59wn}2Iv2ZfpAvhWX$JPkNZZGeSWDu}RA1-psLOugxU;_oHkcWrt
zHJ?X`HzdZor@`szu3)I+sIdy2n64*!S}m?ivZSCZApT`~xtD@@ANzhk`nkY&!W+%4
zhAVLp8P=$6wj^ZRmFOqw-{^#$K~xElpoLQjLQ%ak=nLF7uM=T8S_&+?U-*T6Qg95f
z509-DVe-=@aOQ`9VNW2;3lSIoFm~LWPk6$$(Hjd^491mhPq<+o+phXfYq$~}{*9yE
z#6BOx7W4HZpP9S(XJ=;;^A8mf;Yi%7Z35~X;x)>Ar69?u`ai+NwwJ(XoPUb&o$>n_W;}sy}t&N
zmw`CbuM=wxGpTndnI-ymUQFhRNwm1CvA`){4Uj*2{TJ3~I}pus$osLcm8Efm3O`2`
zeFCCI6(Ewfm2%YVvjoXWBGh+z2YV(#r=577yT>iTN;ZP@rKm=JsDTs&F{DC*gv!nU
z!nY$dLiQta3Cl3`YkXxZDa`Ig;#N3LHcqik0mEujkr)eZOgI$i
ziHq}6HrIzjauTX!FtH@!jwCfsK`E)l)K74v#9w~l1O9x`mf4NzhKqAXU7c!O>}$As
zXizK2LyK206?cvHTD+eUS?g!dnmhMp$x2FRZc=%GjxB-w(cKlsR!4jBX|IfF~C?q
zUUSQ_nX&@;*spewC9P2pH4#E$0Ncq%{W@}N0JEjE$M?2-wG9zo#*8V`i(agEl1@Yp
z7Bmj{oGV|mA>M&SVvoIlY|xKHw*rSEYPjT<{l}KUY*s=uReL)m>_diTBtw6~05>5v
z0)`uYDC*3-_Nk}lkze!auo_A8X6wSR{emq>un^KmlN+yx%l#7Bv#cwkfZ=|=#U-D>
z)!1LA-nfW8pA(lDJ$4HpkJMcTTj(d%HeV-<1s^j*x=?Me71R^i!Gv-|xgK;kpR#^T
zDl?Rfqi`2ijP{;9xpKT2E~}IU2H5kFp4HGqfwq!?3vZNchb6}0(Me2{Wo|+Q&e#eD
zP*6bIEYgnST3iixV_f%{wf`~)`AL#H=@EM08{Og_8u_rXhL@%CSSH5-SAjf~P}^zW
z46`>PB(WI@H4?+Bk>zX)Y{9*`cx+Qdmswbi?;pjWp@g8C6G`^nTp`3_IROxeG_aCm
zlLPLRtJq@+>yLEAjSUnPw^%VXPNJ0=`V^RfJ?{SV%n2CEDlCIM1DUp!%b~&(1Q2(3
z=wILV4XK8oNzmKt*vE}spL2WV**9{=`EPnOyFhSV759^T(Uj5JZChiyA^h_rh&@^B
z4TYq)Qhcdj=W7@083{8sdh5=dz0+>E+a|UaYx;nx@nl_49anm}=KPftICmsaN0m#R
z_GMJls||N;nD}tQ+lI?~qXVtp(g+(ZrhNv`B$ns)r7e>hY5x%N(_ZfytP5Arif7w7
zsyO8P!I(Ava?`e?sTH&Ez+PZ9
zi#uN(Gctrbx~O0B_7jo9Ks0rr^fX#
z{|-Buh4^0_MY=V5ALO9~aR`C%fLn5wDm}W?Gh@~-!{-yxvP9wb8qA09xo>n^rVV!O
zt>)I=C(z7(P7M7Bw0Z&oZc87p{DZrGBER{t(}3_G#ush44_(DS^zu;5Nps(CA1^-m
z!c8BM5lG=w%5nQ0UA?GKkI~bTxMzfdymhVd-^Dt(^8)-B>Z~YG#VtjN%Frj*0dL&OllK<4u`QxU1wlD`PbYzD^-RW{w1X91Jh@wMeWuMig$loe
zg{QE#AkJ8*k9*G{pQvQ_{j|q7;Fh=keI%-!n1lu5-jd`$NRB&WUV4T~*Xaq`sVK!d
z?=yrZfJH$4fY~n_nrPyp1hD$;BM?aHe_^1#jz|LfCGWLK&=4VHn6)PELws-i^;c2K
z2VyZO1#i^XHM)H@RQsf}M2*AwAQ{uWn7;n{D!!+9i~C7ym_&K!scjn~A90@HY$+n)
zxm;YK{YD`P+x?=@X9jVKD-Ev;eeR{8tw3@xE@}Z(gUMwIX7B_SM8o@ah!B#p>@j^|
zH#@}AjAH-r%sV!bxQpVQ&O~&2O3W2c-1y0cz`sL5!B;oR|X!T|X&6gUC?w
zbd}R`R-MEf%zv{K<8<44uQzN~c{c~YGV|{kRo-_;Rsz&Q7>jLz`mIgsZrjZ=Go8j~
zCupQ2qg6kDU`>GXV;-UX%E&Sb%tRsmCW!~}@VU(pC7zf&^xtuA3!NKB^yRY7v!+I&
z0m$7uCTKhSfphVou#o)EW{;lX^z}$R2M4gOIUg=rz-x7H51q)Lmo9j9HRJ3qD_lb_
z%#Vegr9AsoF@G)w*B;O{e~cqVaV^eYs5yYQ^6>a1X(h!zn=7(d`*dqj0Y_Lrym(j+
zhaX2{SD{fte(6)Si+itK&p&z3>M)zl;{BB@9NHH8LfpQ5NxMD&seSQc+WZJ-Y3Tlv
z`Omh;u3zuR)VT4NUL3GmlE8c3A$eRQy^67&!0alQHGi9?CH(JeHV(2P2F&J@JaW4P
zI^khu|Gjxv^Xmsftr{QePf(E;-A&UOa_Y1ZK()~12cJaS|2XN<~f7?k}Ub|1)
zjQLNAy^KFd0=}(?&xk0B;gUpfAhN8i}(sS>nj|4;u1
z?ptZOv8002xE(>iG-<2F2XQB!X*IjyP2Q_{YvR04-|=kl6lgoQ0L&W4?PMF7cJE7S3f-FIGERlyc+-LRHlFUX}$mRPcD_J`k{|s
z-BO@&MNV{tgvY538`5rhz4H60=2EEQ0v?4^4?p4i(%xx}zxeFi9Mqq$yl-;p)lKTd
ze;TF`fmG?yZ5IHCuMX5$SG|$kJ$~su*9L&YqMknrYRi_?4Sh4Ua;Q1t#cY&Hkwf2I
z*tO}v6Yht@iZw2)5Pm_{Mjl#`Z-%~|{$Y3h=3ys`&SKpW&A6$#%BYo&kvtM5|DT^}
zv-jMs65X(O7Qs>dC(H52#p1sYYXZV;Kk9eKb6Rl{qG2gpGEKsYs%tmH-pe2MUCTY*
z?dErG@#%ZDTT*#YvX2L_6p6Tdc|_rCci9L^6LE9?=yK2EU5;zZCVA<~or7stM#Qy(
z@#5Mu=AN-CIBla92I1i9kP+mR!P9Eu-ZlhP)a8#eEth)7vA$KNc*Ty~A5ie9RRg`M
z=>oXdVSd{t7z||9CbZV8o^4wlY8HMu($~Uyxau^};Jh%fAu#$r@>8Yhijhc$_4CVW
z@8oXXdgfg8-PHm&o-o{Mdv&qf!XsES=WodF52F_ga}3;VWiPoI-FcI^rsP>`N;lI#
z>S=w(VfT+U&0U9EzbiQGIiu$A3D|Ya+egAN`dRZ*-`J%s_cKwFtb+_Q1*AGz6Fsyq
z{qLIh&Yq#R2B{2a^}~PooTIyROG-LkOu)V$VaUeMCQNfRid?*79v&l1uGzlz2~2$M
zEoGBnCM(H0B+~xEyg5(bwm9tM{^JMJqVZr=MPzI3b6unkTxSLO4@=1ymPuw#HnB{#
zl#y4HEh+!L9yeP_!X{{K45jX^zN6B6&7{u#ezvy9;#GxLee;zi*KV-h`n|c7V5MK*
z!+=E|xH@8RBD@-D^h+}{*^{1~EhVcxQJH$b>%ErX3!RF(l=;)4!lO{iD804AQHEvF5yvC${?ab-s_s|#v$R!&T2uR)Ztuanet5>OHnO=8
zFj>6V{`BPPk$A$bZ&v~JFC<_}7=Fu0u^J35{>>0YsKeweo4
zR`Tj8_E)n_g~oxV;DeSa>$2DUvRTS7VKAW7@j!JJ(^?y>{`=cDpxCa&+RmhA5hnNa
zO7|sKoy^;UsXf^I6>{YJA@ShprN-wX)Rjk2jeh&s7yD((5$
zb_e>2^?@vFEqbV3T><`go{hDIcN9;bJ)3yrbNgG&BO~LHVA;pL4e8;rTE^xdvOB)>
zzmB@48LQWM*F)Mhu72JhFjFmyc~yq!*U>)!@k~mRz$u&JRNm#*+AaFw%o_BSC#UQA
zQ_1%8@kj&8;-K2~}N((w4g#Xw`#^SL#%*`3X@o@CkPzLl8u{kVxsk92
z34dmN;LT1xw(rSy0Fo4BQ|Rjw61uqmVNaN=*H+zA!l`lnrKtTH7*B#1h*^d!FRbWe
z6sDx;?PXO;*qq|HvOHsy{?477{%?xT9l4bztUPQd=Qv!5Rri5poEtIKkjM))ij|Fa
z$UgA9u;TtewYWM2Pe{S#jIPy7Oskqbsq>WY;5w+5H#qx;d1U@hD1203m{1I4v1}kv
zf<<F2Rgd(Oi~W|H!Y;}G{5?52
z&_`ppgwLp^q%`lmV&r7@_KV@)Ui*%io2IfJu1Osdxlp2#L#%y)`JvNU7ZGd~!5<>|)B|e8`udU;&j$LM
zzSVp!8Qt6TD#hhgF88IlI(Vv&luuaM%9ZUBWoHqXHqz^4oc;&;wWstjw6GKOQZ%y>od*AC#(K#tAwZC*;;*`Mgnf&qY7bQ)Z*N%@a7Mm()hw#+$m>HnZS}}_<&0RG^a@do}
z_vUHK4vuxRaqHR|ImcW>U#&tB$1_E}8eJ2P-5qXPn^MpOw<J>-6^l69JiP=?MCiCb4YV_x_-}A39jGO^4}^axyf#B+~~%m@vrO4(w|{tU7>vK
zqA?Kj&R^P_rl7Pn-uw$?1*^e^>-aDpsZ3$_@h44-bMHLwoEsi3N^$ct46Z-T_yp47
zJ;$JvJ|4r~&M{jI*|tOtrTHMz^sMV>=IU)(`^|QfP97RTCR7eaRO=4;^tZQK6m0mX
zOU66R#Fb!GNSpd6!Zbequ#&xRqVmY6E%K$AVnPK$z9_3IdGgfVr8{+n@Z;dkkJpM$
zOq#y^bUj6Sq7YdYLMH;&%MD52BC#6F)RelUdu_}IGOzaheHjiqH6JbhBFF^lXsefQ
zQa&Xozw5!q9&@XZ;)`G0YVzksA8g5`@1*a^SsK7AFC0&4d-iKC>H()B>`ccgZEYf@
zTh*@mWZmtPd{cXE0DFJ^Pi}3iMJYCKvH}4qegKcZ2u&?odVK$dx^b>>&*!p^&>U)6
z^&ZjUf{4e;ViTRrhgM&Aa~Ah?q)+9m3u=GxJ&$gluSO%>Pt8&g4;=FX=
zO+D&&i!@TvIEQDK^ksj`K46#yVa#_U&xB
zpSPPQYf2Akr9I#KP?OOA_ynUByT>*04859{mk!pL?=AmgWLaQiy8;SmDll&=B!}}P
zHF@TIEv=S4%O8+Ikj6u8g-(xcUgSW10bqw-H)LNvI>)xD%yv%kk*@_;s(>p9=4=3
z;@j{P0xECB{^b^#t`L&%X#HqceCxUSv-A!2;xGF7zTPQR|HVOv3#pjK$b6k?^1flE
zPha4_S85M=3|)p?FNkVYr4;fTA46J(%Hw!Z-FLP-+cxw$jZGR=pghYZ$Nh@*hKbs#
z$He0&vzgzGM|ztM0_uC3ITU;FZ6k}RE~NZPiR1OdsMf|pMW>J+gtA~DXB5OOv+faT
zA8WRcA8WgRbcCtjPhUh;*xT-p;{BcJx@7iPUplWuU~ZV#8?kM@aR*)#p1e?Nc3tgR
z`Ox)AV%N~-?etDlsKHQx!GmI+)XpQ$hgaAw`&iIXmr0VtT@9PZXp8Di_`%Hw?PF}k
zGCS@@i|f{!^WwxVMLo_vxw|y9{zrE2`SF~!)WI)%hi9hbaY6M9W^VtA3o?spzgi64
zu5+vTF3!h8ms8I-J?~OT#awoJ_%CntbGZ6+%N2ynh--v$TU3n*^qFAP+OK@Lg5Oh7
zJZgb^MjaDmopd|%x--(^;uk}B*;4r$#N)f8T{0t&YUJ_K9wST6#Xl*E+4pSMkn$K+
z<16SI%@EEQQ7P4eQ?_f)7jh^haD1P~E9zPD{}i2vKUM!9$IqQEF0Q?~_BFdklGU}Z
zeeIoVl&e&iBnjQ&a<6%9%3hfnNk()@RtlvE)lDjCsZ^?O`T6|^=kYk_e9rs*KJVA_
z8Iq@4Ii}aatGHX5{i{eZq9uVP`TjzCZSa&D-|Vl$G&8w7U*p|YZaJ3#`ewzf1Ft>u
z=B3=HhjxJ+18VM5X?Htwra;QWQk~h?@9*>P-Cr<2mm|OIW%;a>B8>F9KB;u;wyXGJ
z)%eXXa*orZ?HQYSiYTy{KndQ0CBN%Ir_AR~-FLDpRbk#~9;z!QNy_)AdE_9BT@fB#
zv`a5%=7N2IGPgBz0O)dEjR*2p7i=C=003n~
zKv@3rl``t2HZ!s8al`8V4nu?4-s%*87GhizqQ3n|CvK)>dpRNpkyq)Kcg35L(}4~M
zEGf%4wvV&K^gktVra&UK$9Nk~Ezz5K(#qV#aVCuine835_TpLJBgIb;c
zB*&-R>&j^RiL!e=@`2#Z75eUSgS>yzj%%#a11URZ@b>h=`pA3{OBjntWb!nJ_yJ5x
zSG_k+11)|Y9txur6*mpS)_xEtJ1KNS!qUgaP+@*I~}pN&u)!D>_be+JELxTUZ?{vfNzP;OhKO#VE)MZi|
z;;D;>B=2|mw2`dBi+ks?m9S1Ve}xxsAl7t7HeFwoZep*KL%qVl<`_!pxV;|n(CeiJNo`qMI9x)u|z~#A^|J-%I~h{wINUKwMCJp2!zstS&6{ezpsd(
zb?8O}?w<&2@BS^rro7KyCZ^}aDzgk6f;Y^cg5>8TT~i}VaX#LzbNaej9(v3j^JANb
zUweP_x{G&rNzJy;eQsVJ>17r91M|9+kmH#0x{O2AFydPM6LV{PJ^wxOC>#ha5j|+R
z(QB|FEbykm@VIIEFetS!Gsau^8!r5Ls5sT#ociXU828i3Fs#zVsp(ADvkKoa#7VL`
z>c&Qdgk;?DVUn_=cKBP}Pse$3qJHi!L>@1ag*~V;LndDfg#XPxCc#fOCPrR6o|?eA
zRP~zDE5T3^rAg?w!9?73+vp>F(Fv&WvbPz1Oy-2Bu2r_d)8o=#Zses$hA5cjD@3PZ
z-r+|3T=(pvQ7IGf?sq|~=yLT{-&3y`#z@y!`tX6V+#lTQQ<~p$%7BFtA;y>oZIyKJxA;`ftp2+`TO
z74LT<#zt-gnF;vim?mn!FS#G`t}&*%D+WF*a^aaM$tC(yGH31Ch~$
zVm91v@yFn~faeQ(C-YgS{05@vWv9HZG2hI76sz@b{r53MYk>vlo%(_7M3ZiPr4BbS
z(TU*cy;svItkdtFsBKlL2R-=I3E`D(rKytEU%E;5>76-VwUPGYm8o&W)!{RS6*0e4
zKRr8s=8xOSn-g2zsgeJDkMI5a9HqP+-1AD%`;=h-89v7waC!?^x{vH63%*#__&_$)
z1fdjT(V76bD^$ciRy;IT;!LdMrC6!FFH0z>B?>Bi`^y^&RPM!>C4Z=_dzu|LR_Ri<
z=T!P>92}pRrW6|2n+Ua}z%Ta0LkMx|opC*sG>y`XlL&?_397yKwF{p{FoBcVJbFB5
zjXtyN{nHG&kP8@wE&lA`PL@3$O7hP*kIgWtK5JRZvMoysCNN|^pS8ZkGOZ4?+Wu<2
z7aCuhnC3A5Mf@jq-WXBlitu|zw%3SVTzhueY#qJqxBDPoeGc$E@Eu7(2;#qcA7Jt|
z10L>YkNW_57J!&L0^I*y^vJT`&A4}Kf$t(IFajV)0flFPjEK~TBMA|qAUOLmjk{8P
z?R&^=-n9?kVK_jpA7W32I$#hEc!n7_!J(gShJyq+1kRK^h`z}pb|$$!wx3|mQn@o?*ODuG_kmdJF
z_Vafz7vjjgQ0}+u&CXyS_*L;UsOm**bq1u&JuxW?6ocV$!2C)%05pdFmWsLnE2G%3
z(~>_!>=D0GFgz7=7tSpu$(5c9I6{G&K%1iyV{p6IZ~rdx`&0G#I|N4&$1oX3n8|bJ
zjc@>LD(Tjl*wrGpK0gYd|2_u}1k`{oYFv=mgh(X*$4CBg=hBy4*Z+uT&I8=@`&T@9
z27sERKmmaM>_2&)1UNYbviTE12IxniNR#sbX^FQc_{rp#rMH1_G6+dndUytqCW8Pe
zkO=PI^PhidWp3~;kYpK1n4FBnrb>5F#Ym}AFMcKLF;d@EQ>DoNp*jDg@gNj8RYGW&
zo|wV|?1|N+zMlkS+0=bS>yFa#AUHeVg%28xNT&Laj0k0SGEuXJcZO?`BFI
z2%l|^Rhi6HI6^~e#;HyhsJqv>w8W|1E0K`gU&mHq@X<1`Xm5Rb?Y%0?OJD)5c+5hb
zeV(!_9|c4&(~o+h!+hkzlGc*Zy5D+Ed+FNI+cbfTVofd#{f6+aK~&pv-{}`)Iojv-
zLNZ+{XT%bJ5a_*p7qr^76R|JH(uGvg5rtF%af6t3mu6I2=6K10hzIQ#&Q1+Q$~p``
zC8kIARk+u?btK*JpL361K^B}fc)!wj=GESVl!DPH23sG~&~ee^%ld@hke=*d=StgT
zwN0L$#kG?YNsY#2^MS8BpPt{Q|17`tC40C>%}hux)#A^OPujWX|1&coe)|0R)!dQc
zpK-TOeuqfaQ2KH-P?1lIjcaK922B6t+RCe5Nk0zy*D@qiZ%C28!J=f+6=_n+1fiAj
z;0)!uvbs#oFXw9_470oHvJD?Ldt|}vNW~ckzb@Bj>aKGn$r^#L>+>DL6JNRhdz{fw
z=)UC;Zl(T@r?J>?WN9^GIr^=*(5hp*d>JSap6!KnOKy!UwLZd3&#3@ZY~OeIwrfMjy@{m!zdo9scRp=J)pgDg
zRJ-qq$i9fMGAL~?o%J+p>u6H<@94X({QG3!)6=ronwf%W^3gMySM-_+ejn->{4BB}
z2Jqp0)^FyFT{%!G?N6q_EI)7I6+&7m1QG_k~QRA|w#z)~Y8SUK@
zvaxFwMmbnbfCADgB3QQ-?%06=4HHb|_lJBsWB@FMnKxR(Mu#LYc>u}}5RViQXM6gJ
z{7puzKh9&BZ%X^-bH`85erA&X$eSdB_Sac|L1BCV0O$aKCg2R-&)OsQ01!eB-&He8
zHx$$gp6aT-lYvrks=#;G-OV!AJFzy^T|b$Jw#k%pG-#l+^gK&~r+Z$HNn`oPTz2D*
z&lVU*gUeWjSMOEh=zQ`{iyMNKf?k8@GHk@cRYLi1F%$8y2UW&Az5?Y3TbDYCcQVgy
za!H<4r*d!?HNHKF9nvy3yBXh+GbnlPLH|X+wkK_I-@#9$es;XP!xTNKW2W-adgSEe
zbszH|O;gi_yg{Fa&Tjj*l$cpJxeWHcyOS-ioh`j`di4>(A!9>_edbM0ebD*Tjsy+A
z=UsGuMa!>|uNsl({*1V;9UE)syh#1=$295fz5CZsz8LZNh1)>hCGRP^kKFq8ZSzso
z^O6Z|3m4*xGHcH6WjdVfDtu9o0XsUQqk(&MV)oQzh{)mDz6VVv&gJ4jaaQr81ElOow8tSj6
zP}Fo;t93WL$xuRHxrnNuwbd*yP0JLpoQ}e>t0M+x2b(o7G9mdKK*fcwH5d2W&^uUP*cAK3~2sQHv3f3^C0tcq41NF{!>=p5}#o$
zM+E`7s`pXp#_i@ma$L+J?|4c>P;_L%73v`#{qa3QI_@~MYC$kmQMd2v_oMzFSH;Vt
zd!wb``S~h9vjBk1&KtCu5qsPpj}qF-28rVqrP73~W`EhtggY-brLk^S9k%nCX%!v|
zeTW@uK7C}-aLyZQ#aJ5i0=<7HG?TheY%!;`@k#Wx6Z?+c-_r{+DgJ`P1;%kB$ql(B
zF>GPwndM^+oo5t9zF!3?DK8ltQS7Zceq2kXIsD@gE~aZ6yxCcA*p>ohQG5l^UmB5}nx=`w9`UQWc4cIA-I!
z>G6w*Xb=#Qxr~}Y9jtv+2s?&PBc{z)gU(^JR~Fad-xssQaw)t<)wJ>m#TvBl=b{pjaDn~E{(Y01(N@93p#WMT@`XH;*h#N}uYB()ie?{Lr+^5eL%
zur;q~W#gw;J;hWVm3^z#EBywQuKX`GwNY*<`WZue<@r?la;&aY!bcxh$J
zrQ&`7l+R!e?_44r@csY=2w*WV^)WpX#RC*(UO3eeQ#95eLHkV_oh#mMlnb73)bg^n
z$8i3uvojdEw8*UL`cy)m$m{z2mTdlcs8sG01jRmFg&InP_DX^6jtTYIy?2_LM+MWGrpuN%^iN(uFFo#
z02a5Iudal!PXvqBnb4JL@PW>Hj@M?Sl#QlklqXGjdcw1>@{DFG)g;2z0JL9a&Y)jL
z%=9hH&{jl!QTsi$fZl?X({!EhbGP46nOC?VAwa1Wc}%ZDSLCsTyw9kYvF#ZFgIh12
zaRe>MuLF@+chYRP>w&mI3kGEy_sK@YNJX!eENSN=;oxyN>x1JRv2VP#
z*fB|ar^WoatO3y-4*WElEr8lb68PRUJue_q7StChdIWLDM}5RTU1mK-E_c!c+
z$qu>xUlv5)^7>+WMG~=az~v<(T|L?AUpC>|)&Brl6je;*464WU=R)bB1A8lB-!5|Z
zpwO4qQ)t~IYRHclRmQK*!|qqgt8u1Y`A2=VI!%TM$LxFQh?n~NqUxb%gW~MpXo$&B
zQil&EtBV-ft0yaasBNU3o;WY1QwL@IfZF4rhp=$3c}O@q+<~l%e9LpZ%cakcBwd#1
z92q8==zj@%*in_rOA{<|~L{bY}j_ozePyd8^a3Bg~h%5*A
zdG}z*H^~0+Ie|to$k4)YPakd)U%n^uTg;Je=6Mm#?TE~_UZeCx=Jp{m7D7xzH@`cc~95yBoI))AwV}8<V#o*>h?E&8lcJ-M;VbG(>Iiema(jLI_a^4v@;D>|h
za(O$p!;5hIrR+m;Fra$sU|%WJ2@TU>Ms12mj!b5hzSU&Zo2l03{lkl}$1<5OV`n!}
zzS~i1AF4VR@(*qK!sj$q1G1!xcaC)5AT1#ZcfM#8U*i(>)8fqN!Y$S7C`%d3McV+>po5DVi4Gayv{(wd4YHg5z68ihtF
z-hp{yp^ikDDF;%I<=giuOHsgM?<$df%Fl0#7`#nA^;6gq2Q}72eN#a_Qbmc+RNWe|
zL?y|*ydbj{#lOGCdKSx*M1d-oz?=duyW2yL0Eh$%c)h!{@Z32oj7Vzl(avbpTNPBF
z21<@qyPpYr`W?MARg3D*(*G`=GC<-_XRM6!rEWv(Og!A@4?@D=&IFnxiUFW_MghPw
zDnn_|^WzO~egE^h^}?YM5G)6L9snNMLa<$sphVT5P~gAj1_G~$%nu1toNt5){gp=q
z1OyWq_d33ZMFkUJ4itjR6kn~>zG%B%xch|KLvLLrmA`LFB}R{lGL#Y=n{uD}2-jY9
z+`8IF@>&o{%f(+>8%+~Yf;DNP_EQ6887<|5k$JG3;^IsTEmTOI;e@HCEp}hy*BUX}
zaP2ZylzKTTQ)+avVCJePKQG`vA8SKw0~aSw`4Weg0w3`SvmmOu>cZA!(qv}qY^%a0
zW|l=O;k8W1t;~y`G=+0`!+IQU^ONzl`TndNTMN$_)W@xBp92+Q)-z*0
zGqVCRCA5V{YuW_99|C|B%?pKX4q}J1u1nHcAs|T(P{<7Ni-t~y;&(~CFYR^7MN>M0af^YN~Rb&DEa3|0W5uii+XD{w1MiH+hsJ
zN`uMJ$f3($P5Z%~{YWT|)lB?yqBHhhM2d-o=J!;04J({6Dt-uc(l5h_0)vDh0Ah?c
zrTNr&CDOQ8PN}~kNI{hCsw!+V5@8@#*Pqf5`BlS8s;pkX>YQ*w_ZNTEoqBCxudxxL
zuNlnY?O_*cJdMp>6;XZNH_h)QN$cJ8I?KAAI$S=?*1mL7yZ1s_r?ooa<`62DGmw7*
zHLr0CI?A^nOK~Ja`dM?PPXf9TBId7t^?eNFd87uUBUHvA*+-)G<82PCpG
z1iIP(ep#nen)A-X%1^?{*y}oVh7b%%m3m9OUCs2CaZaD+aqFWeWjgGrm(Hn;z>&a+
zGv7oy%)5rS2gMUn1M@P6d+F@2Dnos?qmmCF$PM!TCYdfWbcY$%^~_OCFw^C(*!aec
z3}o0%evg6ce?)Kb3pe$r1pelYAhL2wRM|4oKi$oSJ)=GzAaSaPgh^Bg*=zPk{i{`w!FFB#fKLUK);GRR*is|0=z~J2aSs
z6c%Y-|A4EpXP}pQo8?IWMKVn*=vKq~olAQvkrs%Zh=u6J6
zYjz)xnfoerR(v8OB{E+*c1(LQ31Z=^_Q6s6zA$Dw`xtrVQnojH?FVClRW18HZJV-ok!jL)43`8<7G_>GFd
z1IqXF3hy^;CLzAhu1SSmfZrDcIn}%H133N>G%5rI3psVYDG=tzjat15l_)(QzTjp<
z8%{UOU2UY@I1{z7LURj;uc+VBN+M3pt-o4osVld%V)0qdyRuuGCt9Nd+
zuB9}PhS642z`pN*%olBpsv|%6J5#uEomWv~bhMAC!%vVHdLA|v#rHi>NuRh3e*Ron
zuG7q3=GjWN09U+r70|WvW5cw2p>D_*NRQblIB0ETfv
zUAaXhmpp848iswW{kh6jJf=;R7xuwMM#0#Rvm?Yax~68kz+9~>oI5kyrq-B4zSIN>NN*^&TBc^QdFtCVB;u#*GWP!}|ug5oR3
zA@{R+<25`n(+54-1IVyCw=SOe8U(;*-^8I9M7TefW50ixb6^M6`D(7bId*NeA}8b2
z>7jLV#hF)nNXxe^mIn9Ld%N{MsmpyHmHsS2O-|hp|8e<8y7=itzNGyS2?23=9+6;P
zdb*1zja>rKZ>mAU{0JluZs(O6-VbF14i~5U`+7jdi=A%tYgay*3x0L&h;ekiDK_K_
zzVRkD7}i+MJA^~lvw5j|*t;%-isOV20C7nqcxlz4`z#mk?}m^?ha3N_01I2C5)oJC
zZ&n?JEkB1jVc}F1&k9h|J1uUG$oyTn(ux0P)@@4HaGnj*g(;5%%9!5kD
zfI@%2*LY;Pph9<)H)oY}TqABb4d$^Fz=qjx!+9_9>SDca4L3KHeP7m5DL
z0UH}mCAuLaY0_SATrM9xl_?kP_0}!Vu?p3`yP-^|5^u!UlI~`TXu|S*BR!kf3)Cb^
zG5Y{D4jddLBvt^U@Rb-!&`Hp7y0V;>UkSqd#B0ZK^%9ha%%ZZBSl$ta#3@Y??7bqo
zfTDec|CjJFEg`ceM0xC8Ra=dd<}&A7idcTvVm6>$ybs;Fnz_GV4VRNe&n~w3OHeRC
z=$<;Cg{Oz8qz?4pJs4R6P_r!?Ke|))#bB~RP7OkOVCX0^Y1w{YvMS_H!Y4BU`_O-)
z5mwdi$(|Memarc8ra;WmR~g~Q>+J!o64(|AsDyVBKxiqTe;Eoy@bP{`+-yBTQ%09H
zuXpGefw7|L0EpYkax)MzA75O>G_p~$!od6FO+7ntzetavcjmWTZdKP@%0#Dw
zC5{7>`fO9IxwQ#kq-o9j+Bj2L+r4jhy;J+h7Iugow~y}R%y{$K9SUU}d{Ra>oxQ4m
z{SJQ8jMqs>zb<#ME_1lfADpS3NTeC#t5--iS!In(Aw6!_CJzAQYgsp%Y|#)VSRLQuD<1}|}V
zc6V0!wfZ87#WD)BldrK42;&xOf0MC9Kg$F#^h|N
zy?ap8@9^Pn{_G;_xL>q{MauUm<&dL44F_*L_(t10*R5qz&(zX4uc@qiHgHSc?sQk_
z3y<;h;=e#;05&HCr6L1tGY*`1nH91Tb_5{E01tqg9J#PPwEDaGt@!ViA4WgBsF=z+
zJ%<x8MDzhc^
zC4F}enTw9V*h$~8FOsOdm~y_8c9`Vyau6<
zjpa8h;v!!Tfza2Wk&X16mFOz>~2VO7N(KFTA1UsE|f@EmcG8aG~g6%fD
z2x&dWx}N?|?TZ5Qc~-_$AIIkFy5v;Ru=1spTBPB&9}+y@Xi=!GzlSdNS=@0PYsQ|J5~`R+RuE+
z=e|urEVdmo?Y9z2BG^{#NB8r8^eW$N!`BCS!@M7ny6W}L^+fete_UG@YB-}nOg_)h
zk@LTI&K^?+!XfM;SCq|<*I{M}%$r4e(<;6RgTMH0>mR;o@gd-ba}5vWsy_&6S;V>V
zjQln;K1diK(Kvx2d71o(nij4^(xxjW25ZsujSiSu2~p@JU!9z
z`36@mzYNYWGa7zA2Z^(ND>gk|q8qN5(;K30zs>S2;hz6oVfHCQQmxu0I{#)~&mCYp
zE!T9Amso01Xkg_OULVD%gtv8=?mP5^k0jk-y|ddA9yWYTNB}U(s2-!kc4cAN1{@Io
z*ilEx8Ed4I!QRCC9F3Ii)nd^S?bKdr&`$>=P|T{Rg1TGsRk4~|7NDpH+hdcKs}s#y
zbr*evJZ>_jQUQ3o1k*T*^Ve~=V9hPU5A&^r#k_vx(s#!BCMP;f$4x}S6-aN;etLjg
ze;XvH_Gt6k$l*cPL~Y}K^UGXFPCvEl6=GL~!`I9CG?n)5A%cibw?fb`yYdSB>DFji
z_hr@`JI91ex0*^jLFmLwg^q1i}VzF%e;ROTauUA*+u!6wm@N)>ocN5`_hFShWY`&xx@XF;=
zA$wK;B@_=SbcXZG*4i6aO9%5!gcUpa%>0{Sft$>~Qk|ijM?A=u
zOcn&#q$-vl2JmzsUr1~hF;Hf37t>HzBgiRWiN-1&sc7+9ux@{^{IHJkJg6yWQ#J>n
zr`02#&LbKV`S82YBM+Gwm>Sxqt@-SoQp8=$cviWRofooE=0C&~3ioi(CJUes(!j&t
ztZi+_bENjCt9MKAW&j6lDK(bcPgRaDBSMjoc*85GOz|X^r?ln?*3czZd9IcyaX1d_OKb)nq
zNK^rY6961~n`K<&GMPLrY|zRYBQ>#uRR|)ApWj&$KH$$=&3HpZRLcigD@?EX>+Q>w
zp;i5)?5e-JV0AWFh)YeEOIu^pUWPGDu~1C}WMq}SbDjCOb?R8X@T0QHoaBj57nD4q
zj?LLk=1)i3*6=xzS4bPO=xLh6P<u46zFI<=wK#mEHHP)o1nKFmGG0;p$hp?r+is6!jd+c-rfyfVroc~Y7`_z^
zujNE?nD{IN17&9
zJvdQ!c<$k_lEJv+3gS;`a9l=
zllam*I=akQca@n*Ui|?oTebK)GiG+;5An7G2*4sB4HW2J1I%3tf-9rD6Jbp~Ocf&s
z06M3$!<*foKf2L?%4ZcZ3B2O+27D^2*I8vjH$RmfP6?hyTCfhFKtmwF#iYVFhGC6j
z9G*IGx(g<#RiVyd1d+P{r5RAm0UHzRJpfx`w&i@;NuC?YDv?pt>2(lyQV|nIDj#d|
zYMHcX>8NMpOG
z#PP10(BJg}7N!6g0|)^Cx}MDuPIK>qZGb5J^$3g!{WO$9!r*aenrvlZc7@Yw11mq-
z!Q!q@P$dDkp{jVWNUwFIklreu0%+P~i?%`cDCw1X2jGGM*uJPtm#ba_8SKQlGD
z>0k1#E6j*>@jEm5^-RIbrJTD0&nyK*E%5*pMKOFAYkOlzLF4L&)0pRh*^i5li|q+dmL`
z^G?|xIYqcxE?(rbdgH=;0lN?m%cgPGro6plALkA*ih8saWL`5BHZ`%rZL($b7#)1B
ziJLZ)W`yeBD>r#I&bdGL`r3tqViQ5Vb%1>p+5Jgzhs_P%pU8@0DC8-Mtv8MW$PCiv
zaNIar@DG^qn5ofVOeNBnZ=p2_&we`}T^GsE^SYSP(
znsst0*PAvcctvTkzmS?tTRS3mIFe<1uJ9Xq>1*r@X-}{U7W_|@)fdPo(8QX%gA88d
zO;>%Hz9S!4fqYSJZxY0+K2=_if;2E8Rap?t=C`Gq>Fw!U0JgW0_v`f)9rVf?jgNN&YSyJkkP#9EjFUBqwOs#%SJ1UVc@Lr3hs>S~kLa|Mp%fqE<>qR=Dp0M-kb)g6JtMLzLgYb}pH9b&c0i;kdD;+Wgsw!sZC`+~Vb+<2fcU
zckHW7iooe}BhnT$j8p^i1WjFvu8u2ly`w2tqVn`al#9aLs+e#43LNpJIE4{ZUDEo8Iq=|oQ8#UlOC)jE?b-&e>+H?UUV>p*AF39(&Gd
zmYEKMn0152Uv(6D&tIOEnb~1|EI7h{JtB8
z#D4PpKt1H706oB**Nh1l8)a=wY6A!-p{{)&)1^oQV4rTc&8U#^uLWG&K>f{7@f9atlEiwgTdOIG
zV-9>6Yz%tp=48kVVF@s
z|By==O;hs&%ah(-wbk+*@uRKntLxbGxso~Zld}b9GqDT`{l4q3!syJ~U)W?+>%8($
z{AcPUPBQ*e_qkkdt?ke6m=_4(cIZ+q};bQaCsqq9lH
zO6KEb2&9wgF;7<=6d^7l?rq{bhaw9p5rz-Hi_W~eyj*_NSl{Cl<6RFulwvN>z}%y|
zS9Kr++S?DX1u&1Fq3?lpaEZo5S63;K7bRCSxi9xJy9_R9?woZk6m8i}c=7JMkavRF
zkT^B&hNGU&3uaQLa%Mk65=Yw#39b4_t1agB&`UF)8nEWjojGZjwA&7$!QH>Wq?XO>
zsOreYL`jz5k8_w+rCuL1D;>L3;
zg!aW>FJenfw!>F8ssCD-0vNgh865I{zo6h{)_^rR)4Q)e#M=L^yR^@zy=$!h`Q|SB?l%0+MfvF$@nv?=CFQqgLytEo(dKt=51T-~S~J&2eni#{ylX#t
zgbQuu4>rm0J+}oCLf>azMYIk;FOJCQ6KQ)I2#q#BBwEO`7yjR;GN;Pp!s6GzVpPY3
zoRZT^>%Ws0rrP@oeXN1P~BEo@Nz70E3uMYMSxAIJDSzNa7444~D8`G9ftLV`rOD#=#S5_|U3hhK)9^JV&d-kRT3
z39}{_e+27ZCV8~tuj*M8!oPBGKwoN@>9#2LIPf1HH2*qVTwTI0`h*}?G(MoZDv0)v
zCD`Pe+83G*evR}=3!S+1>tf@}Vl`j_m%VR#7X}`v`(98EFuFSaaF;4S^I
zSjZ}p=x8malt$lEiWSaBgk9F;LZ!pv-#EF?@4UgCc_LO&(flh?E+(d+SKK-YO(p2u
z7Bgfk0=A&_Y5+<{=}7vTu%%eOWp-kaXJFsR2`eKtz{X(LOCs6vDf%MnFdR5dFb&YK
zbytlI#Or^_Kt(5|Hi51I<^+(fD8Qk1jK-C`v1^2xv^jr&Jl*P`4?;bvP-`^yPK-(C
zQFd@{@z4aSkUL-?9jIaHBYd{5)X~9Q{-*SV%z1I5Emi4;x3m(EEtNFt?`7pUYO5mr
z?5lk;(9GxI8aF6?Dy2y2&qAA!b?(R~mw*7D!QWE1iW^`Yy
z1HX5=N&Tzi%h!h&JPuwwNDxJhS~(4f#3~2Z*4x_73M@MB67O%v(
z)b(BPg22mInf#f#e|{$^uw7FwOcFQV_7vMDFVY=W@T2RP)w7*9_fDQKs!a^_c0PL_
z|Ap5>2$Fx0AXB_zEpf91AprPuFT^wAMC7|~ItCgj!GS>mFd!5Vf9hw{KM;X)N$O<#
zXlG5^gT8Kvr%sHx$*}j&EytIK*$g}t6K0oEP1UozkJ92%y<#tHClldsfErOsiQO2i
zv52(Y*K*mzBz$n6P3=19$G=d~NN?&cP!wwR`($;D^qOkQX$`w;mEMM*9Hi}ZtM*>q
zU-OU(!@L{EVXSz8|G>b+{6t+-Se7dXgbdksywOmjR*Z^3S($i8UE>%On`Ea5zUN-D
zeOn_IbDZb@zWaw)t;;%u!pj`X*FK5mR}xOE?wIBN)iEkMuqfapd2~-bzf}M~2-JupYRA<8Ae%e?+CyF>&naDmp@M{ZIk5S*iG6nL
z;HH%4@3RpQZ*bZgWZy1_GoQfB7#8Oj08A<1;jVCTcYDs*n4<0a^36RSkwyWa3?g+}
zLYC#rMUhq
z9eYhTPYTC*ekQSCN63{5A?0A<_wTk%fmG67esboef3$LztA6P#BaUnSKz&dgj^@i>`c
z^384TLvbp1be=U!rkn3WkJ4oCNCnQ*bzN$^FYM1*qL|0;Ed?a~EA!^JwbOU?@%i#(Km)e-Qw_5e*ODAeGP
z<{W{nvvuV~=>xOJQ@cBMt`weB+coiC0D+9LJmcZvs3a+b;=#0M{(=pjy}KG}WljhK
zonqvrbrn~iuXm_WC381avn)1wQO$o@InK1R+^{41H;tfnFt*WYc18NBs@m0wXgUwy
zJZ)l&DipCzSGWG7m$l;_4FGo9m|BGOJQbBxHs&TQpcIl|&qsv-KoAeIo
z8Ljd7{<}sB#9Bd!rnrx-uIrx%l6Qrlj`oV`P0X|}J|bOvMo2WcXR=!>cmefOY?Hzh
zw5v2K_9axZsPH}R{P~uf%V3FRRQdt@D7EsXuPq-n4cq)yT~vaLhVQDmP
zeKD6Q4(j%v=)Nae(s}pk-YT}U`>cI1>dQUXIth{fo7s&*d+t{+URxQyZkb|NjW?s)
z-ENsJvt52D4`8om90ta^)2ywlgu!-99W|uG0F|d{p0?#XB5|WDncto=Fu&m<8cey<
zqf*6KQN(ApG&maD^(8Uc1K;0B9{b={!R^4@%aN;kzb2%NM
zyiDO+qo~bOwS%93du%P5NMUS-5||)=#$&F0dMJK$MLxUS+upT*`aKNqMD+eusfg(F
z*J8Q+UMTzMeQ)7Hg<;F6s2oM%!x#o?Et)*WW%^xL3)GJWp;WD8V;n;IX-|Bf>&0*k
zg;%36%rB?z2^H_vkh+kPDb-WAaxeGV3jY_3II2W3ze4J$#KhIYxQq!R;
zNLk6PaUi`Mj4l1Z8hBr159}k>q^e{8TiVY8Xo}H{nb!PBYu&^#I2w3^MMvFQ5=Xns
zV5xkGfGB%X601Z)tw~fW@RZn3_o5`K7UAjHJv)`Av0;*f&m0K+){HP3>*f9kNzWDn
zY=8musPw)(1ZAyj3lSH9$}NZ4ZHVN%hS+X$AZq{^MU^r?O1QNo4W;t@_d?8QRLY-v
z&#^8_XBJ*thUYf;olQmH7Fu73W3a~|jNIG6Y5^?E*4eLy<`
zb>ce3X7g;ksO+H-zIGamn8E=<88~?fG$7NjW-6_z5lHQI&5CAL&YBdV^-u3KHI_I$E0);&*d
z9?)lInsrv2p%^ldi_xeVd2Kh99&Gj%HolOJTjML5@nI>fT?2eQ`%IkyIMcG)#`%&B
zPacS(Nw_ogSm0(4j>`HrZ#m`6Ro1TXVo1b(XP+}~-WQ(5sj!a-?g)Rc|u)a3?C+i1e`@^hg|$i5I-hfy0Hdi0nol*UV7~U
z4dny4CV7pkqJG|xg*a|x!wNFHMxykM!^fTzIS`$=oX=T3vh{pjQkMA^$J!S`+{}5H
zRUm&9M2LdMJz&R8ftAR|zO@fT86pLo+o1Gv~0`H#*DD
z0|1pP;AGA=m>fm`rrCIHdRKr<`klA=-r>L2bLU5&h26Y?RDkXZ=O3xgG#}^e++a8r
z@m+yzVT(XDib2Bc^oZ(+W^AohkRC$9a8p1};WWL;l6Ky8UQQ#qL!g*greMS-gt3ok
z%Q4gkuqW%wY#VAT-r|@nh&>P1MFM)*26bGydOjqaVHV0zO#zp-=8@iL0L)CqO$~<@
z6(ANohU!sdflD-R;+6~L!|4ApgKYhTwXnt(SR=IOQeqijZF&bCaCyUK>P7=d>CK!T
zRn0Vop^Ikf1J*{Hf=o2T`@&LO`3%vSuDa#rWsKjo{ywzVmFU8)M`?BSHAeJpvlC|`
z-D6m?)9jQ*-}JSdDkfiU7No2Fga+|7v&<&ZSLEzLlXHHb5l56o!G_fC6`@iGI!hbi
zD2#xRYu8KE5riJ}kwUnXz0J+`8(noxLlMtC!a$PqtVDj)p@D{~3{7Ab%gEysfE~nx
zK=uk
zfb={hudDyc&Z9g4J=CoIqT^N+eL}Wp$IcGAp?NDF%p+omIU78wpQ{g2#1yvtsXLuB
zDG~igtfOb?@_BUmEP7br#T{1#Ze28`sDf09WMtuXLPOG$+tIRl461UYA^;`<@*UdsP-_Z`?}S*
zm5KW0_%QxG+bsFb0r?>(sV$JD=R}?m>@%%KA7?1f1JbL#dX`6Z3c*vG18;V6ep@d#
zx^(~a>7^}%5PcBXCU(=Dr*}JBE?`#Ip0M_FjDp#r4Gf
zfrr2fLZ`*m?3FW|ak;D?a#?z-eID*~JLxkfYhe8VumH@$+k=!`>i;~Zq6$V%-v!|;
zKYv|v#;vpBhdyR}|4b_sD5n76=?{PmATqtppVmF28v9X@?G;mBt9T8&B-qiyoO3_o@voAm#Y~tP#pBU&I&yr>V&s#s!Xx?b8g>+funCp?v
zWkuXP57h%2i(zP!m|^B)%s=sx8XRS(9s>#H$+SD;2p6>vAc(xu=P>&lK73qftkb2M
zgJmH)H@*^Vs_BQvzN$vFOl*Jjnb&4)=`*MGrh+g`s(W_80CRc7h*;jdAom;3AV<+v
zuL#skClBzrqEUciGBTBy^V?zSIg@yd+h%dR{qTM#n^!LWOI0NZ!lzX!B4JL(nUkQ%
zKRu_nOT$nrEVJ8>X(X`;@cqTwX^Qp-aF*P!3M74JHnJ!_aq>V!ypd<4xb{gShd-Dc
z70pE>4d#wHbe$(Yz*}j8r!QZU7Db)IR%DTfdB4#;yHL!e
zY#vPB?l|?^$hT5kwLkw;?;gdSZJxK<@EXd-lI~yc>8lz~zb0)8e*h$PwCF^MYwEEGnnZDXZRb
z%Q)b3N9O9J(%z{oIui=N5s1#BeFQ03%Kd(CL);V|AYz!CZZhhF(tN(0+O>RTS$q062?)VHC;&SAW-=o
z2uVd@%9L*-p^#pS`C6pJooTcvf6Vkbx;W%#L0
z&tK^6xC1f_QuOsJpgg^=Mi6T=S+IN$|8qV6R3CeCQY>fliD$q-=v><3!BkrYZv3Qs
zz1Ecj9Wgi8z&aR?3S=xu3BnHA(xhcgg?wYqHt7sPfiUa)<)G~^M@C!d^6T4lc_~-R
zQJ93sLiyXfE%p1`k3Vm}_c7?$H#y}XIcItinc47}&CH+zMiR_Tb0CVXt(m{eIr@pv
zsjD#1n!uN7H;T3zB6jhgTYPo?ynE2Ur-zkR`>7O3WMAsrD3AaP)PB-1VCh4Q*i*mb
zeeLf{Wj1|Ied*mwFk+JsxAwWSQa33Tk?XUoHrz%1is`rz-B|2_N|XgZO>
z;TNJg(%W+H{S1Lwf$m5yzLt2(E$f>5FL^0N#e)pRgB-BSzeu*;w8Es3XJ
zrDvH7_dgO&IockC#oS)|++-?c#9p2NO~z#FYVylGJYiF*cF^fPU1&?*_?Nk9zi^&6^6aYU0^I~Er^_OYR^#5vKs1EEne{U-~yXLH>
ze7x~vvA`p`O*G5i?6DDj*_}zOrDOiIXcY?7w?5Lh!je>oG$4%Jl6{_|XCgn#gVC&W
zCCCg*5nB{sWiJ<#meO$Hw#NnFO1@c1h{Jg`kGg&LOG2G4>IL?dnx8-Fa#_7V>i+%n
zM`f;Ap12w)q8dWbXZF;y>y4ZzjDZRxWusMco!>+RXyEU7W(TQWof~FAJM)W8qqp}ScOXM_txe3mJ6BT8yQ@4dxc@&{Tu!0q*~y&1
z3X3Qa)}pm>?34QN?j8}AM-4EZX76;@JJ%N!z~~I@p3Au-?D5E)h_^1L>=JxiC{p*J
z2g?g4u(qzMK^Z4f<5Qr9gz9Y2pDSIJ=_fwF;!lmpKCVmtg0*&)l7;OChPl@FQbmBG
z#A%5Wq1CU)pLII{RvvVS;h(MRRYzx8BKfa4M2F5zc`&+~cxROX*Eg68l{uol2+~zF
z>1=7yhD3hu!nsWj!litpCVF$?9hdTD!cm&a#
zSQc@|0xk_0<*QU1I$Pe<7=JLpxG5ty6zni|C%`_}6g&uNAjX6RBCX0-!NZzIhA3h{
zL;cis*>_FVRTe)JTl199__X%XMQt?lt$TmBjbB)c^0*0CL5eg}m%^$=8MRJ#l%`;D
z)m0t=AHpz{a`k1CTuv%t>^dp2zB;FN3IbTh1TYG6G@WY-cF9Gs(FOoXnesKDBwW
zJ5xfx5&`+%Sh;}ge8mWYHbbU!@^Y%TXV-Fab_P>uMo$2xMei}Gqb|g&0sO*Bf#LlG
zUv<{|#eYXO`S40hS4mbBk&#*_8*1scboFq@yL*=w9fQS{uMR0s(RFvqP(E&wB^Uhr
zXiK`ewGeLkn0pC^W!#fuJe3pjNSb9XhwKTY_>sEL-d-SNol`&aLc`zuT_RqkknG6m
zyW$A*{e-hQ_hMXa-c|N<1$zJQhvk8q&IaXIuEuvh!N3FBa#jaIif(VZLl(RqJgBcS
zIhUip-z?2gqaoMow7SG@iX0RJn3$O@-u{88%{Qz@WY%9^W4>4_E3f?S{_yRm%H7h?
zvO&L!_3ytw^Me_uTE_(~&Kkz;+eP4P^G%Wh&ds)}OH?A+y1Keo;g^kE-qHW40>Re!
zkW66U{vO;9|5St&u(?%LApTwCGR9(Mi;Pl#>~1BqsB>KKl`x-ikq0?v7m}|jboNW8
zym=JDIW9Sv?##JlXTB`%cC-5(K)dgS0fW(z_QzKO5Wcd(a^i~z*C-4rVSutR!0L72
ztYD-t&?uw`AW^%n$&l9bK(k+n9K%{dbtMhNGaLq`dUuzFi23(@b%pwKdb_jw_C%QZ
zbyutAsE+V)?Pk5<11$O6O_=!!eRqAuph{t0?H-p^eq7=(eS@`1zOsciV3
z@+V~b^~{}=x44;rEbg(T48ZW(r>aPp4Pw5UYn9yhzZ~gn<2|S4JaRYl`N(@2k}m?l
z^|p@ssuZsvwbuLRt;4Zur|&E|l>nnrnyQ8p`I&@e+TN4qff(K)Rmo>v{jZ%X~<6JjYUqq=ZNp?G&q1fg<
zm=MUM2k+6C3vH1Qnp_%7-n3*5%2Wt^o&p{mC`w*s>5`gqt
zXTe!K$h|I>W;y`uk7_O1ee?!(M;8o$VxhwN39_eq*s&_&p?9vPD&h9s;%QXBkCTDz
zusIfd#SrUj+(T=Lww5v}%8x(G!5}6;*mg`_F5$e&zIa?&lZgJ#Iu51m`lr(%`R#y~
z9J2UvuDHLX_67X-3Pa_70r?dDc1}xR$MSn8y9j-x;yUYpN`XhLPpK;BVg!$))Wwy}o5$8-8EPXSm9nPMX&V?3+`wi3e=LFvuOT$<%c
zyrdxp?{kz}!fX`NN!Vpo8B|A9UTQngT)$905^D0bUCtIFvGcmK80VvE$8$*MmC?3O
zM??_pGO;7&Xf~-qZAFIh%A^*RX0&;+q;Xz%cG4wBghyz?mm9iOOqP8=mt>>#c4)v{
zC8G0~_G+0XKw`ra)n#(r7G#dJQ^s37va~GU6w#*0LE7f}z_OW|)Ar|zXOC3Xyu88i
z9UBKZK$v;WOF`UExP)(EW#>hfO9vFzViVKK-8P-(b7_Utj}v!q^A%#^Zim>t**C}m
zTJmcbhL3u@bk~VpEFzBmH}l9I>yXmIWhVPm=M=ru|Ll%oOJqDNyN|NQjLD8sZz(5{
zI*ev{IZt>os7_vQd!>HKHRGO_K;93zEwLQk>0fGRvJgF;3()GOa-q(NpTkZZh_xkC
zE>3umxDp_Clqv$;TeYEj7$V(S94vdx3NWckqu<<-n98mm>S8`ftHbv&ovKQgb|BqxF#{+0O}+r
zq}nAe=0nCN7CH|%teE+o@n{aYZ+Y6;_Trf>IRV+JgQ|
zrHTZC4d=UcsBD5sFFBcAUrsYapfW0i8rv*uPlJ9{eD3VzsDyxrEaV}|g)lx>{5k6j
zFrGuWLFS0!{W2x`co(WyP?G^DfGzOD)@5(5)7jXC4Ufqu1B%95WYsj5D=zoBTdP{3TELR9$=;pneAf
zx@>$JSu0DqoZ}GB;7IIDBw%C=5O{qgyz^9~Saoc2LxZfi=l5xzMUPNiaokvrBC)W6
ztBb}x_)K2AC7nh$-V6|91gRyzCa;F#{?HWuw?Qt^!z6>Q2?RN2V8o$2HJW?jyny$NK*KBMK5kLw(}xOl*eaD5w0Y@ME4@+);(h54bN}%u6gV0szh`3-1HE0z}17XcWs+
zefzKH_ohgZG}3iN3Qisl{=j-1LYK(+gwx03X&}iIh7pyrLAcG+4Zd1RNw8-RktU7z
z)o2pIy6JB^{vnTPa>V6VZnF5;HLlK=f;%nidf{Fl#<=2FxzG-7U^TbfR{YC~5a$Y)
z8JL_ibG28-QC1pM(q4a9g~}U?sBm>&Cf;%K6P~lQ5li8UcYV>SNaVq4se*S_0yx1H@~2A}OSi(mJwGUn_Q_rEsF|Dd4%%q`ayjeb-Y!=?PP;-jQ#=
z+!ws}u=UScC5i7mX%@7(rIX>R^>Llb;(1HDo+DDDJ!IP|QFQBmdn4zQ;;2%ANDK|t9w7cJ;p`Gge2j}8L5rRX
zxa}vjD)iE;lW=oL-z&f`+7TCyj#vR$8xg#pS5<9N>>2RS*Ykd3Rg+=Fl8
z1z+O1m>vp8^y(5hvGjj^&SLYMWFQk07AV!XB0AXSRaG{!?HG5};*P1AzW64IXo!8;
z(WZ1f6tg5wQTB>Av4;EJR0*n*JyXRc#QbmNwMj3Kfokrq0|RTUoXG&>lDOxQe)0+}
zk5NM%qlvkbHqjFnSE+u|Pe-V)9aHvcXa>nxC7@D(8>JK^yw1TWP}2V$YTiwyG)R2k
z2APSaB!l_{PI-!qZf`}k_#F~@c_(N`>gDpH@76FpPh^;W;BXCiRQTG29ugCJb3Bbs5YG4icW
z)vT)=sbZqkmFE~YZ_QE)5;x=Hqk50d23Wo4q1OUXTmoiiZD5Nhk;M=Lsv_%1Nr$1R
zv2LwA9d#)=Ex)3_{hXA~P3kS|{QOg*Me$~1Td*l+&7
zJIaW_bkHJ>;Da^^?E1ppO3{`uqN_D-MZ}P<%L85Wj3uFnZqZxcCtK&!)egRS*LFvh
zLS>lZJ&iP9XUYpCg6L`m_fHkDT#iYMP*{Ju{@HxLv3V<#R6Me{)N
zLfCs2+&Q#s)rPzMKxjB0@_y5`fcCTEMsMWAqVZKW;V{WZgshcJ_o=>dFe%n>$yoKK
zzh5bu5i(@Ij2AO-jHJ&nT;#wp@Df8YBfNtgN539gWAQpRMhRg
ze5Yp8
zz?cFHVP?(UGh?Cmy2GeK?k;wbAvxc_Ami00)Qye4mz*
z5olq16@G)f1U+aGy8tvlX1Lf6iJPD)g=tnQ)$3aYjzS936@V~#U>Xe?@p0JoM5FP;
z-HA+iv;;6tR&j(BYk}^LpP2p^m@KLND1Za70tM&^+J7K7(;IF=|Fs)IvMr)2DNe52yw;
z86(l^x?O|PH3nC16sAf?3a_8IA7&Uc=#nT*yDY?KkbD1k@MH`Ke3&PKkb5jz1tp~^
zuYH8QoLRma(r;&oUx7n3KyQgq4kr8
z)BQXA?GfGpl>AZUWD)bANr0}K!aJkD=A}8j$s+E3fLKqT=;M}BE4CD@djGYf@tL2=
z5kC>Qjxw4$Y_3JQiJ6>-M>NnD-BN>=36QF9r3S1y`h5CDE*o
ziGkgPSLMh)ikunrZ}Rkhsbv-}B}NcaO9n99_kIWEgOJ+>sWHb*D7DVdow||H~-VNA%CBAi&xgH`
z4yLCS8#+p7rgQw36SCpOXYO^>n&Y6NfEhfqmjfoD$~i|`cD}KN8o+_tde2)nnCa;=
zkHU=qIwAnFDSSuRgH;|{*7dm4nO(5^-lv7G^xyx)54aGGgI&-9rX9uRe}Jn(VK=<^
zDaY@w)U+6{h#ov?)EX`VWYFnXljO7@Lhsx4fGvms0YtH?WsVX?Tl*)}E%Xi>X_yV*
z0iRp~5PmQY8jI8&2*^ZRA-1a=d#)SF0U5rt2O^FrWXS@Y6a$3}*twWd
zrY-R}4a)Mqs4Nq#Hzqr6E!ApMe9^1ieCmwaA>Wc*dF(B=0?zIo$T!Q?N;I_8({-*S
zg_7^#u6K8OX(T-T`URW{7oa)ND`JC+cH*c#{falGm;31pl~sKOhm_;ojiJ(C_v^Xw
z!D1v+BYq}ak*W_TPsxUesa^}XnplL$B3KPBW}vu
zWyDr-U{*{rj1<%9-B0fWFvA7mOc1MBI$Q*0N_xN;)@deuKI0j#Mce
zNE5RA#aBVp?P!~tTaq?)-adg5_gAhK#5~ZyIgw3&v{ikH8T!C`{6O9~-A;^Xw%7wB
zrtoqjvXn2{9n*01n$Uyoj~rJ^Y=Nv^!>}igfa8r14V{AOCohP86WA16B*_c0;#M{2fbz)*^+*>
zt7gxT+T6`Ah4f@+dNuRVf2!_Y4~xh!nI;Z4&0dZbkGrqXc(n0EZY|es*
zM+tPJhg4l`1}L8+00ip<%c;9Q13|W=Wij#vTlkp_fwzLBE8SJ!xRU9tG%A*bpC-xZ
z*Ms(9FO7Wc*%^k+@{v(M_rdy}9$U?XOYgr>LV2`q$KIV@Qf9W{JqYWNb0EfxC{FgH
z)o?r_Z4=8UR7UdkjPY4#`CCx9v7qgy#*(eVMz8u77rLGm7_(?TAl;qmbP&H>KB8T}
z)1fZ857CbEEwIf-$KSIDvkp8Yj9%E`A9$exkcqRs8cp|cQseyX*z%u{@t_Sc-`Y*@
z*1TR#J&L$*h+c)qA}wJ1sUqO=gf+6hRYeK;fnDQ~=1GwG(BXt#{zVq4gj
zKz3pks*jD&F>0?;kF?064YjKrQ4d1qeC^%m4%p^z?U0v&3J0;E$$JlSQ1E<3hsO-K
zvON31Hi$OW<%h9YUqwJgyRo$a*=8vQC{JLJ-UPt3_JP>Wx0*u59ieVuQsk4O2>O~G
z1d~E*k4^Eo@P0<#ZJa?mDxRgL!ynXXPP#>4+i0z(7I>>W2R=!=;d-Ov{NApB>Pe$K
zm;Kg~M7gYMaV!zMwg{k42sH4fHP9Q1xWf@A9u{sJ-J)L+WieOXB(^BG^^NG2E0SQz
z8=F_uVgm~-+vXRxMwOz+can1rX
z0^CI_1b{4+LEkk>gQ&UU_rV0{{j6bATyf!p~)$6-b*`*2n=skn+pc~w`A-?!g#qS$whn*~Pq4tpuxC`iY>kefKi>N3nwxWGvEdQXb@zohU
zl@4yMeiSea6fcE3t|jR<{*9F1
z_<50TD(>CE^HBZrk@LcV-C6u6>ynawH>Cg*Iu@ona1X|0bI
zI{uy^C2jU$^Xt|Svx$N4bizIw1^
z3OCm|M1W%>dgRN6H#zkRfPMQwIeLHu9;-#1IBxaonp=Zz3mxT&u_pAefZdQ66k3~&
zR?Om+9-Tkl-_oZ1dUd1bD!x_Y=V)SwQKp$a)v|AO>_2qg-+cxvBD7P
zEh0ONt|O#vXorWrCt&xqO0qmwWX1Nx;50U6GUEjNr1pUm?qEglFECpVc<}fxQz|qt
z>lnDo72t|@07?X7k6TJeiN476_2`TXsqHHJxgd25RcZ!LD8hoJ9BYg5P5-Q*`A!CbhdaE~1cnsgotYTu5h
z&p^>9Bp*@{wgv^URT(j>1%?v^uw~_sOSZ8gwr8#N{nx?G1BR2rlcRjaf)(e(rEnfC
z{8oTiuMoMLjgYAFyBnL&)yFImq{*>Pe?u@xLu@(5Um=d-51@!ku!M1uNbdf)adxY<
zdwsI}(`x9`GGhK_fru>b4k0&wi`18p<{UtmS}YnQvjG;oai8?42m-?sX_z(MV@>&!
z3-@OuN=eE$);)Hconv{5HL;y4lujSTW)av{FusEq|Ex?g2CA>hU3Uq>IP|qk;j&b`
zm0`!%VP`xrw!St?8)2~?P#1?HHw_%zAzr+imD+9KPK95ui974HEvXm4x!ZyZW`Ugo
zv$~dOFtYgigj5SnRD43_BstxOj`65MU@)>dZ%)AVku4A>tiE*K*F&B&ad^q&SuHqo
zQDpiKAh+K7!jji=2{Z=+M4CcSh_Z{RhNRX4cMc?)d&Y>N_YVf??#r7Jzs>hD=x|M*V#Q*EK(+AFJHB}CZg3FVpdx!SzndoDk`E~?;wSSP
z-wt6@O)C!`RThFysb{*JuFF*5KoVGx_!gLV53H_NW~A5+N=E8@6Px0mD|bhAuv)Gv
z72mUuVg+Fu4`4d-B-=IXSI#ucq+?Tai=KyC#wg3!b7ekNsq9>ID4n9iD1CVyE>mKl
z9bby4hhL^03u%D{SHnZq_3uCc9e0l#faJ|MN0BnvZJ$6@av`ChUAd}tEqR}u{;sa-
zBBwxT+hnA9pjT`rgn{4Iad`?J8+Q?^D@%}>8~U&vJRKz$awS=+nBm~?q2qp4^IAux
zbZZ!k3a_|+9ma>?CW5kB>Y9TOO;|(2TR?%zw`HK`(2KBj4|R)J$N_-Pj+L_c-BC8|
zyfRcP3Dyjv?(*6+xFJJ_PXskA$~>@;4dsf~^8DZ0R1v8#m7LBzEy>7!1Lrd;9TE5M
z|7PCljKB0-xujSlo@(<>c5lEqtSOG1XGfF_$9TlTNVs#Y=^mR)5a(D8Q7kPjK=yOp
z!-awrb5U<
zBC^I^EUN{Cp+ak)8XV&`s{JA2cjFw21e$*`;3J{5{Z=(6Ff#K0lZ146$HM4TFhK~y
z1gI0&!8t*slRZij@$K-|R@Jy(pTd5(5Mn9>s9rC5GP(Ov0<>5ewwJ1#Z7K3^%8stx
zucu#@kbzCQ(trL6O*G}YYceAl1UQW=-}X6a7fLjhfu`2ldGj9qk6f0hT~sOAX+&qDbX0yAxAL&8
z1bV5(537Gk%qJVCWHpS(SUU(`A+(ycCePqX;M
zi5n-xM#o{|*Xh|~jd-!;enK9f2V>u1-Y*sFVanf{(0w+tlHp6QKc@hiatnDv4(v^d
zpVImJXkS;T;n_;*(J9#eDMy>u{{@U{iT(BOobJ)NvEe~ksNxVq=GwrzcU4gyBc2D@D
z&piZ_?hd2yVv5(HqDMNjuq?GP9h`IRtUg<<@zA{3rr-h;>e&+eK}u&;rPU3a%lkO1
zT|A{#x$xl@X_+#v;fcwn`IHWmK(#L&l&68BXKSOcLR)8Gbf5L8?WtelK;*(JI9kTN
z#Ux5<64pBB75{Sh;wyyf;=j=@`&-zOGNOplbECKg=;1~3ReTM6`V3i!-GE&0T9iLE
z8`k=Yf_|;Cv2f`ihCM2&d5)O3xuie#+7r7dr{4|Ue7&bR)Y`QuD;ZL{#AlNvq>R8CO&fAk$iAm>lB|g2)Zdh?pS@0^E&K!G#bQwHIHC3%$wI5#9
z(O-mwA3_GBMik!V_^rM>voI?B*l1m>-i}PU`c&fyMO=q^YspR8
z!=~xX;1ANpAJjq6uZH%=nui1T=_B>K@G34Bf$)6J&x{@JNoPNZ#^2C=A1|4pqM(`7^!n+c=jt!l!P8v5kMo;Wty5iu|5-is!CVr2
z64<5BfBm!Z=2N`F;g?f^*ajFpink(b=z6(zsZ^
zzR91aIXgasN*ca6jA{7&<-gwV9)pWMD|1>Gzo^DNhcVwIzcM}X*v?TH+yCjOV*up!
z0`|De+J8T{daYl{72hLN4Z~Uo`fx)S$UEAj(UY5>L)gDsUK!LL!KWv#xlJNsD`WfyKyqV9|>~)7CD{!AMcX!
z@s+h!7h%rPM(0l`FHx4D8vPW6frR+95&|iJI|}b_9vAYnpNK~%rSxk7
zQ6+M-N!(q)jlDTG8TyGM^>=@ur5erNg}&4>u9?B(&WBpGBFoJuOb(e{
zxHt8v_}S;TudcP7+J5TaObQ0ZdkWbl>9-!{PCwMx{rD5nfl;T9T4$iTe@E{|^*Wt3
z2d;?l3e~A#Z5^I{LW_DorL6Z6S5d4-
z3#I(v5wM|0QE$HahW$<#Cuk&gf^q3(Deyui`~IqPXV0(xQD@6O|*a8K&ae6Y
zi4%r~kMFe|K^89=DUD_DOU!rXBiy>AVVOqV8?U5!vZ*XDHG9|SyS@AqI*wwd%pT|xMg&Ek6PNm+8B$8sq$fl``^QgQUrOg&0eN|
z3FCi#ShMih%HMHo3)K0SpR4;etl@*z
zu8)TrLvx#U&&{|+C6*(gLU^V@>M+H}`1IL_Rrh{eb1gF)I#xb$GX)q4Co8f;-eu
zNwUYtvAW>8n5|d
z<(I~M*L5nD>^BaZ6)Tm~&q2a%m!drHS=h#hoMz^w8uidQ)K<5WMtg+F>zlMYu|;Cb
zuF`=^xg^yPyT+lXp7?k>hfnYeA~lPL
z7u>(-Rfi~7I?95W#sGOgU1
zJ1|Z*F}AM)@@CZ*n@Aba1D9mz0IHo)xoizPVvXCE}w7?$CT5BXlQe7}})
zUFpTIp?lpN6gjVT_9@-_rflk|+T%tGFVM;Bmq9P%BZJI`UA~JJAK`)Oel49fH~mud
zUwluU^UUFW-HsYYk7{rH5qV4J_)M2Sw`s6T)%5M%D)p+oyU$7PiC-XNpYEMLwBe(w
zLrHkg!Px%vVDWrisO>}?mR+l292M%6Iq0}_CI_K>=D+Oitr!_~DqK_X*G^pZsC_NbUAaiq@q;_Z&r&@La+yJKD
zIX$nFLm&5#4EdZ}V|6}Wn2D&Y_UV3_OnTu+Ruq1nf5+Om7c>`Rw=#5S%QGbB@?1@9
zE)JrD&Z>@88Bhb(!J14qa>m-zzu6P}yYJqe&(O1fEhhTheclO_&%ITRITrCc}VYX9y0eJQe{)Ml<;q7^R-8dv4#Gae`pB7
zk^~O@4Y~4R$*2FW-yP>3Cs%cm9j@>=J(#t-xVz>0BPn`Q!R0@D$yq;1K`~?(vV7o~
zGxk!~w)m14MDLv6zpXVq=QO1F>gST)e_A({yA2Kh!-fDE40w^Ybk5+#rM_R+yDKLm
zuZDsla*PKET6y9%tuK6?SIaT?_JpNhv+VJypOYxj$$RlQ`9=NoncEZX?KR;>G|Yjo
zR#VbtndV@Jan+t_&hWm%n)Zn6M$cyqqVCq=VI*eo@&UI$12@PoUa?V&qLT@i-S!Wa
z`$+h|Xwpp%Nouj9ZlEbKkxZ5cyXg<
ze}!1Jk?DtQhMTD4BPXS(RJC~+bIWB
z*i7fwS>C_oFHbLyDP&}jknX?}hs#rAtcPRm{{}93pl36ii2D!j6|KB=>U$T04-fog
zQm_m@e!a1^MVmN$ssDwv?imK$I`&?WWK`r}l>Eoc6Ln9gLdVqVLJ*SH=G=z^b(^De
zyyVx7-J+*|zBaOCxFpu_K0m8qFJD~3J*&!)uh#z(9p)f!w3AL!g%tlSHi%+;Og@KD
zD7`pKa%3H}F6Cx*UpuT%xh?ki*r#9WHVZc$C-~@wgSv!A`Hzk_sid2pHt-eIAv0Zc
z={Xq4Kz8HFIk=8UIIhvBwA2cFpXpQk_u$X&J*M^NAHEB+mef%tMi4*lqUV)a#P
z_xl13Ok?3wBH~Bz-g+$IcEz3n?w;pu#v;lHYyEr6NMp@L6Z^q3k&)}0jbgj(X;68S
z03;`;B55CC}QR|=jFdg-jnSfsupOLvT!5>3=j-|Wh4(ND_8G&h5*k#MD$m5b7F6*v{|1u
z12>2O+S|;>4}LK)22EVT1sMvM=cINsP1CUy0i8A9BIPmi*o5^=f;wP@5;PCC84z;h
z{f*8RvDGu--j*#WM-gD$MtKgBO3TZqm;>u;v)l6H3(!F`*lCjPTqtyzA?r?I@
zIaA9#&laLjL4V%U^XJGot#`!Io5IP
z*|9grNC+K!bL^RpRTMgARyxDs93#h;d~|F|LdqyQ_K2cV8gxiPOGRn=`u+j;5BKA7
zkL$YLuh;VlWZ___B9{Ybm=`wdO&gCo0A9~mhIaS8=$?J32;bnfuUvFVe<|6M3OL`s?Ig5o9Zml159_uym
z{Hlz9*Ryf|*EpqvjQiOBvtM7@L9CE*M|HDciO7oJ-o@I4BqjR1n#N6BQ>gt=6h+JrM8ZND2+)3CpOaWi(srM!Bie>yQFk5I%{FbvlmNIkDs^sF=CK!-+S)EeVKq`mc+AKzo~rI
zGkHH#uYLbE-@00_`+fud&r9F({^%C6-jz(5)gaJ}2e9%~yq!|#gR|04CCRp}Vb59r
zEjpB4t5*%!p{qwF`RCIgQSc!74rlS%+1*OJM&hv<`r@^iDW#=0V~ap(xl#3GN!jsaq(r*m*KX*FJlrkxzarjHmA`A@T)T(
z=dTOhD+_W>eARjLMxW(~)YdHNXV6^P!`!=zL5_xu7O$EC>+2)JXBveUjvr?qoPOvY
zhot%aYjIuD;&b@#Negv+Www3o__96a@cM!jIwg3sK<)r63$6_QFdOXcJ|4an{PAzF
zE@k4uKJ3KT|InV~A}j>#dD&o(=Vso~N8hwg{46Lw!hu+DAb-YQ|Gss?qWAT`h1Y*z
z91e&2Q;U;-;GgGEZAegPEQc#L%NobA^@DP^b8N)vc6)sG0Ey3#AW#E0_RF#r4?){<
ztZ~_i8&C^ec2Y|gTyzB?yJ8KHc(e;7T%i_w1Q}bpKL8jVfVYMgvzUFR<$!3+ky#EozmbI!T}6vR<2c-kTsfJlH0$k9iGO_X8rm5Q
zcLw&2=EX4W>=2zyC|2~1qV^ko+czqo@&!e+)cv^PCRdCetl~F94Q{`|+J?sM&xILe
z6FA~44ovRj94fzdxWGF1p{6i7pKw#4FdP5!p}+qp;xb1i{#dfCseL$}Hz8aSe7sIg`
z82yvp)FVvDg@30=>(mRPktFR%uIulB%@_5Wo;4B0=i;A8RFZ`&H|Xt=Kucu)#f`iN
z8xp-eYW1POggnmTt-j|5eoED$wa7KFZCz^Dk=`rfRf^ZmSAw3uBUwihVNJ4HV{<+
zf(OKzS!CAxqZ?FnfHd)mIzC8Mg@0JnIz6L(dPw#n1W&fbQ4j>slx&P0n=9HLX2<+6
zHBP1mEnTWM85oZq__sCtDId~73Q~oI_(4RO(EjphKs6_RF~FwXP;mE)RX+-D4T3o8vMuglehKw
z-(}uvPg>9%O|>KTP3GCL>b}IRdz?BbN
zm83YY@n?gd?W8CEd-;CD>if^y2}kYdX4T);
zYDfq=&}m4zY70O%&Tw%O%nJeSwc)jWn;j}XkwV-#dWDC(GC|6oEJy?$JUq6<1b|5v
zWCLQoi2$A~eP~(8D9P&(T+E(q|1KZKj1*%h2DEK)F+sooEHh3f`EZlGU+?+|#4~Cl
zCGa5LO6ZZEUGyH|#D3Bp&a&^JB#$e*RxL>q_Q@yjCFiGnXZV05*g${^DB$j?=tJjn
z@e?su9KxEvqg9jQ&;Fni17fc@1RNt1&z(!ZaL%VN8DQF7i=7hpEG52qFXZ((*PN81
ziDX9h_t-00QJ;V0yQM~7NcPz8*()hby>xb$@%nqnk3H9SNm&nno)AbD<0R*t1uE~o
zix5jYnzLK=V=wc>xu#Re357rEkEFC-`Q>xsXXKBRHeWL9S(@I7l*o!7ISy3OUB&mpob=$^D`5I`i_xfumD#}
z`cNUf{oL=HzGQEmwZ3W};h?)igOC12RfNy3u+eq>CZN(mMF
z>zzy%V*h!3mV2Qv=;^%;;mP!yuYZqJ{1(EHA0PXh*wW8@_}92%qw2!nn}u)QR-9is
zl=E@Y3D!-f0ULXM&B4&ufB_QwILX;cH=09YauNo&mmMe6;l=#I>43se^
zyhsd*Q=BSRcB^x4jaRy#qYpIT<*Z;_204->CI}avTW)><%%{H7oF}9ptA@emUExC;
zdhr&hC#f%7^-*}R(Q2s-TsErBy{n$A`Mis}2V6N6GE9ewY@1!>$hST3PyW1mz3TA#
z(<)8LNv6A{O>Rx9fP(8ElolZ6qEOv}v&0-9E7u7dtX`lwx0J+|&rKQYZ$3)uiA|bM
zq-;KIKjFD_-(RKb9ssr4r(I9~;rOJ_%^EwCZuDi9_a=BFe>-v4|luaq%+Z^@bNTJRJ^YaYcvg2kLY7j?Jmb0b{Ay`pq4Y<|5X-VF&YvU1>*xx_bf!;`u1ZLXQrBW#
z-oIJmFxBAgxtCcwtCjT^*Nksd!|pE`P$d*LI_it;MFmA3%pME|r71u%@
zRm5^ocG4O0RjQRL?$tO;gaAty;i?!(q|{Y}Uabf75Ptz&T&gTwQ+;t&EeH@Nl5pJ8
zEF6fdI^b&CO>herAb}ZWgS)@JxOU?nSSlJ{2WIC849j1R4h4Y#xt~xN5&!_r11uWg
z1Wo}1@O=OTm$vU<4N(pG)q^HGYDaQV3XawGopob*`r4;oO?K8#6k@D$r5*GXsSJIO
z@}Q}%x0X^^o?+*`_>(imhEd>3MoIJiD>y1r#_>r5pP1mO#YrQq+~YcYz2UAJQ+>GF
zEXH*~&EwjW8-$TunfJ^g_Z;Uk^Cbi!8`(v4NV|^IfAhHXjMi3AZqKIARZ?ecwNy{X
z$_V{%Rg!x}Est0-!o($duW9mb>R}J>K2PGQcD?KIADsHSHy>w>)V3LZ|hy~e9bp-=f`KM
z%NqMZt|;EUZyS%Vop?BS{>QDgr5kHfCkFri-uqT~5M5hp5HR-q0S
z%n~>%zVbGQIDh~y<8RX=E@SF8>T#BmTbs>taTYL|SRI%f2x60S~0&ExqdjMG}{tt@u#pz|fd-+X3(h3pkI^B=Uv>yz+SFjnt|ifUynjizn}()M+jC
z7bS+{L+pD1e3&+nS=mX=wOmtc76>y@{8+9XKwrJ}V*T2CIFO=Y#k)Mth9UoW)bpz~
zv_Np?F^!e-USba}f2Ku;nmjG~b+Worw}F7~kkDt5K!Tw=PO~}<+Y}_g>|V?FnJRz1V@%4O839$0D6Gy$va^u
zMinfox?0s%MA>u
zH*eXPm|PL$$y0p^O~4krMisQ}ea{pap$0bzSe6Rl?p(cp)+l$SLRjJ7O?N*Nls+5a
zKfr?Zye+g!d_?}s-$j+^j*fbDlwj9wSN>9>AyG7-6zK;HW@GFreCjq*#d8Q_3@nQ;
zzBt#w>&|eSy&?FL#CQOGc-JUKj&h(S{xHN1OxCA?9o?Y&JfjN7{IS|2LiUHC!!+7l
zM>f>aPJ3@2mQET;+mm0#g@%u=V!_<1^jG|`_R6ZZ_TpDLcJcs0fG6XsrvO<2sM&@x
zrd;VUlx5M+m6hf!5Ma##ON2#21kC30xvEG;z??v8^{8h?xS+)b-OLpvXlg}yvx=Iy
z_dKH$|*J?ph^&4eA%PGe$)#Azw55F3CQ5LBX&ZVpP<>FMAm3)F(
zyggY`j|l=4M?CkclvisAOw+DSjMnhmYxZ9I(z8huyhnECFy}f-$(7%#w~X&Mhg(0?
z<(n_R)m?7gm~$`Nr?@5|Up9_t+>ldzJw;Udq}5&mQ(0EH_8s|&L!Y&sS+%xUq*Z*O(6x`0bys_!qmB+Ni%!Wac6Vh7nJX+|xb@&>
z1Ta7~g3DEM7P$}aI{Gh7dg|IdBk%itzj~_--t;1Ce!|hhyk6E*R#gcq|MWwT6e#lyj6z?dKp@3yHsHBI)q*>Ciz72^<_nQYAk&}J=!jm
zdd)h1v;J$qqd}h5$_$=_rGmD6A&tw~a?WBjDT5)*eY5MhjUw)B*0TZT=%KsuPQ{v{
zYqxp&w6xs}g7fCYdUrl-?=(DjV6YPli?i-G`FuSAY|Hc2gi{rAha5&{Bgs#ZHM1G9++^@c7KLC!U%c&(e&hR`Hf
zgmOZ_Det}*=sNB}h>3c})P4fj{D=yG_XF6LnCrM`nL0(LqGTVw{rzWX;3=2SnHARP
zn{9XXB!UIcA?rhGCLrDOxghShG{UycRl?^&$_;`Ucz;9MfW
zN;&^4AuX7vSW)2Z=&P4ky3M5(e+4ggMaVLqSKGL0Nev-=I?B7Y}ilP^Lx*?es6lsxY?w@E{
zfZ+?)sf-u0ogK9KTphuqifhM)HlzUzO>iXX;uzOiCr}4y_(w0$Qq^y8HeiDw@Zw6b
z2)!cf1$wLB?ATWF6z9Y_|E`Mc8rzMdz&ML0#~Hxf7q#ax>_{8dA#r>8=>;7@m|agk
z?o8z7QPaBc^LO~5(&cwv?-JZDon9vJrvU)^&mdDnI2^*;3lb~F#=qQ}e=}6Lup=!{
zw)A6ARgp8eZwn8;!4R!hia+u*xAV7*qhko~l**FQ-w$LyIsrn24>O(@gt~fEI;@SR
zzvf0upfX2$1T_>j{FO3g1l<;dkE-TK-d9$fXo6Z{;=-^nk^w60DHk|SotW(PGdYCl
zomj&y{7P61WbX=DL~|JlYj|aTP!Zu@4E*s##tjSgU{S+5&I!gr?MUVdDJbc4lw(B{
zVkZT>NRj?RQHUoUBgY3Gaq6mYU-|+eML^BBg^ULXxNC7>qG@~CH*C@MLb-L5MxSj@^6rUD_`vW0kcLCBaEMYY
z^6+h&(|Fzu54Z&px)ug?1E4;*sNHV4=MxzxbcDY|rGWg--gM
z=a8el@i0y|_jMcsz!hI727vWZJ>uC8M3@%`ltw_Lp`dtX8dp);Owq1l4~F(dLsz<@*&IN(P?iK08U(KBDn6DOyuK1^bjK($IrQy5%W
zcBvZfOnRT$SBvP6%Avo1$Q0ALFJV!N#_$9V^&TPcKsRr<3#mu(MTo$4P*87XNoHSo
zB1~gwFZ;V9`kgK0`czdU5w487jPYWihk3L1Nr+q=oID3Tun|Lx)bE!^ADgop-R3^X
zLwjsjJZXreC#XG+GQxg~#|T1$Jy1z%D1p?t<s9%_`NaG$RVamJPZl=kzil4iql?0;39^<#
z=aDUTm2$@egez2a06Z+GN<5puGwEUeV3SoySBHFo*s+T;e9=2TOs(283$}Ic@x-h3
z<_)=rF#YI|XDEaC%hLhD120hC7?|nRlU8^X16gXdiJnLL#J`9T-YJKn9BaMw%ZHWxh$f_@!+Ym
zTUVsR+Rr=g3-r*Xo2z3z>FL?Wd!UgfUEmO2FB0s}FQ^|5DOPU%y+6v@qAcd6?AfDN
zuUlm#85-obfqz}4kt1H~2
z3BCNlQWu}n(D5}=pGPdwt6!kDhjlIG4b1L=zgzSc>eN={Xjgx$N!3lKJJ3-3>sJ~5
z-nwhg?o_2v3-`+h-2LPyGz9C9rYnV(4A6@D`#XrNj*C&676B$s=wV$~f5VQZ&Xr$eiK2L6`Ojv;%Q#m+XGKeC
z6<@nY{MvP#OTj+vp7Qurf}OBvN{PkKB0M&!3R{a-uZ_k*eeu~I1gIq9VvQ5JG^^()
zEz*6mPd-{4?t6f~7?RxeP>mk^dHGiKViHnXIMFjov9}wt!s=onBpmG=nL{Ca(8-hc
zRyBfaE*}?(82*|(%8US&lk2ZURFk+<*bo;Y1RxLsSTIAp`KdpGWhMhL_B|r;)3qO(%bkR|Hp642
zXAF;qHdo}2YoOkxPso2Mas#*<@l6Gj(?V(LJ~)N`KN$cKkY_`ka5I^8-^xkLP%L|=1JkhSAp_=bd-hUp7THL)#;L#%jzVD2E39#Aya<6-=
z$xLih!aArw17dpof*yuzB>kqGXlS*_*oz4H2DMu<|K)72vt-ZrlId@
z_X~AcTR=n*_k&BX0)KR+TAM}|*$mg3q3dTGF)`zEe@70HLtX^Aw7Z}>_6M$-Frqy=
z?g|${v)T2i^T@vcT4=Zi2B_}N=8WrTCmT2Sqc+eQ_1s6swiI+%!S1r3jkLD-k#&-
zFu4YvYhz&dm2AgxAN-SVB5%NLCm`k#|9xB)3XKVtj9-jl3k-3VW>M)*Zx8*16q|Bo
z0JY&M=KvfR(7|nQehQ+S4IZkM{oNU9F8HnZg$p`KcocmuoD;ksEJzOyxg&foQ6%}<
zhu0s|CM2BgJTTk|0DSuhH)qibOS3I|sWP`7V79qH~Z{6Dc(d=c-~MGCQuH4u;ubDyfJy`pDIc
z$=h=LP2zXj0tY`8af^9wJX0|<8^8Qs64XE06yeW;n(f2kQxj0JLiM(7MBGM^HxuSh
zfQjDZb|!s
zuVHqYuLav)d~?9VO0`hwIW*jKz-gW3Ix$D+3Rf%+9!{b`1-UO=f;nv$nd+=i`e5zs
z;E!pcYHlC8vYcLzJvh2rE)M>#CHP_dOQTA#V3yValkXkC$)I6);)!02U&~3Js8|vr
zg~;WOgE37|4^E*9Q`7_Q7D*ZJQaOm$!pc;&Lg%zp
zR8$BSrHa38V}i;EOo0)OXl)~|00B1+oq_DHumR!@Y#w$T2Tj1&G$(m!-h1!9_&fL0
z`{9SJ`3ZMt`(Ar*L++mo;g5!@bb_Fm^S}_5e&|>=utx{u4kK_$I5@O3r?
zvNly-QSOyu*G!LZeM18D%x%>VU5brJd7vXat82{x?b0S(bvV`fx~04J4b}(x`Nt|3BxqLL$=j^y02C6*S62|V!qmIxH+`LNXd#MO`jUSsjq9(
zBE_l|(z;>Ao^rqybd%=h|0$?;`=yZu1HCOL?&U$=bIAtn5m(1VzGa#`j}4zdN>Q`H
z5eKnfr&6P{0eU75#l+R1wNa(rW)t8a7+bfXq-^3IEcN-4^^M_ggDbBmuAJEaH#S)-
z?;5M9(7;?ps#an*`=5QD0(K82mEZ{%}B4
zbE9EzCq?)ZkD8u*)SO&Eid
zcEE*wm|yFe6)Lh(y@n}Iuc?~r&~Gt;;CM^I=hy4PUdycIY8nNqGJ-+GaZg}t&GSYk
z#MU^X?6~}VyX+Bj<3=EACXy;D96$WjR!4rsaB8M{ONRjh;iN)e9lk9JWJrY5b!sH9
zYd9x^Nc-h^*qsE;W#^~&N6YSU9sN+(g}Ku#E7nDU3nGmO5FkEw=c!pT7lBu~smn5V
zKLuD51^VTmE`^?FWHV(N{6Y~@Vvn9|Np-M)-8+Bd?ThdmW8>1^hcfW=Z-2D84f3c;
zRzf^#-JBun?R0$9CmNeBeYU%shAPq>loH|ALM_A*%?2lfulfkxL~hcq1Q>Sa
zOP#|Efu@~xGB7)}h*g|`H9&>xt;2f%#zL89zNk<
zfp8-|z2o75k{7(8(eKRH`pI*&o_EH$-uh&2?wrF|^*kM%;V6CG;F88R%QWI=WV
z$8AiIL-w`~iyTPFu3onm9cM9B&0$(oZ|8I@rq?`@yDGw;dLFx{d+}{b-K~MqZ*KmT
zj$5Op*Ob5{R079BJfDS93$HB(dY3HgI`i}n5+sHIyLp-ovmyvbehkWg>b&|e6r8QR
z(|yYEKNXjFa@8LvZ8@t|r$2tK+$J?&FqmtzUBJ@OkiJ8Wv+qMlMxrETEV1ev*Qm6G{zWv{m;
z&t#@mjC8uxol^BKX$P%v9huzh_0XdoB&3l4gy!?Y9eu|Q%N>hNw)Wla;RebxY(y4&
z{Q*}k%2G8{&NIYHQgju$B@PDc{D#Fo&)?2F;2!M_Z^-Eory$7bIu|ZfQrDW9Q#{Jo2r~uMUB%Y-zP`;5Dde
z$#N<|aDDS4cT&53&f;t=yD9MaFKyZhMyL9z+j+uhy=S&Zwn?rob=)}BP(v|6#7A|X
z`5#_Uof=0Y&MRe<{+3t1_tOPQwhd#o-6kMiS%LLnccDPlQIu$HOs=eHi0H$GOW8x)
znflUqTUKsx8$(EKDWL%ujZ;drxZ;_e)~pTYtl4q8hrpBlfaM43&}@LURE;b`g|u%>
zSdPb+`&z56`@{!^GAor$pa4W8l=tm59u0LHB+Z~wwfB6egNJje%ee3TbL0APHG4ua
zUh0R>2_yTvfb5q5&q%6mV%;?*n3XVCpxub*m|UtewdJCN7hjsRZ;Et1_sdQ6=TP%g
zjV506Mesg
z4?^PbfPM@e9{l3nq!^4OTMI>7tAAD-O|+Er`U#-q?y0T8#>#XjBFqz5K_S9#p=>qL
z;ez8ELs{OoJflU^XiFK;GN4*$sd(~+`24HQme8$dS5fYbWM{d!e*1)Z1W7;og;L3J
z`$WB)%Nnnu0v$0Z@w@GnjAH|j=Uk?9LCM+3t?IZ`0H@<)DdQ6U`=-=w%MP8c_eA7O4V9{4d|5FLe@hd?qc0
zydzs2+Spn8y#ZnFTj13`c+Vzc{P(~WvT03=X{kDLN$TD)wPO{myHIJR^Tw
zO#ovaU|*iM&Hm;AKUnl*unfnvmb^v7^j03z-bEz%UUfhrk4n8)|}k8
z_lPRi0Jq{X?rMam-tbVzO^r^rP|&dK8(yGYCXu
zphJQdN!Djl@}=%}AqMMJ#rGTMEK0X6uCQg7d(Grt2?$M@y_Xwqne6tA8ZKQFKf2ZR
z&r$4&Cp=)gO{RctB
zbOIrpfTbX}OlSw9klz1t>`jglsBMIy+Buv0lxya~$k$T&+m~$u)&v3@1dzPBhc(M^
zZ5Cl++E@UBcBC3?8hDYE#j%K6TZbNX*Nb_3ORnPo8hFLfI
z)p-*QCgetK_A88)JsHN{zpTPaCY16i_19=`^brJB?kkMVvOgMtSL87(B@J-lo;G@Q
z6^P-xKD<}+qH+JV*{coZEvwqiw5sFY*ryNGYKNIHjHzO5=t&+6=JPW8R6(jUBM<}a
zD!xMCbbeNC&!SIN+4JXE=dQ7;D^B03qO;I)$YpkO&8w2stEL5Ccc05L!c96ll+d7nQwKB)orV4_Y;?c{<{WC5lDHx4v=Z5@p^sb#
z4c|u$qrc?+2bb>|MQ653SLZYO4FvAuXAQ#b1}E>29#ua&?VSIfqR*n-mKeGGoT9a;
zxo`Rfg5}LlWzh8`AaMIzC%zzQy|kBoFkB=!uHS`&A3OI;Hz}Wy7kQtnl)QNcRTZC6aJsYcKpu*Gq&fQ&=_WiR`@VK02s*e39lfK;zR^8f5H);p
z)WskiQDj7w!2o~mx`9DuqXdZLEU35$p1`SqEy0%K6(Nl>Jmen9pKA
zj|0Q#%VmWT*!N534YOFL-7Lv4s&P@P|d(YX5nN%n#rqtWF8JzxeRz
zicz8oTdBKoJu5^u~&VMI4g&L>pb^6;WU;;*C7_mtsVRXkcAwa7d&s^dzT8
z|EBl}jARj~PBMd19Ht0}XW7kxbrhe)%lML}w5Nu=YZfbOyALcQE{All*B=E_OQApz
zel7ryS4Nq3Z&K<#;mSC2JC>o3r&I*dwdmC~z@U&Z>xfrwNX(+p3V);%qv>(6L?8m)
z-_U@mt2w&3{|iI6!|O)zPx^A`k0P
z;@1KXIVc}MPX;k2ceBhQA<8Y@F7gc#v$fMdgZ4j#`_0N+6q7=>*4^A!<2{(NA4@FM
z^IxFAW*`t4R3FhHglp64`wIfwR|h+CUf@zdd#1`Sc`-X{g6#|^Ki=S#w?cQZuYaSC
z|FM6uCoS>x3)9ixDB&8Tu0XLY;tI)H2(YJ0VI;qW8sfH3ynvFLI}u+Roxc8=Yuxkx
zJ|M8Fl^g5)aFqV~?Qt!I4zadTNDQYZuQJ$;1r4~403`+}PF|K5Y*OZsr6#2$h3_||
zoRHP52VJfHJi%`RqqvT!$o0wJ%bsjB$`j
zsdVFgax70s*)jmpe_aF4KfD`(IP`C2Kcm>G_k19)GXM9Pr7?T=vN=c;mT^7{c1Qnt
z>EwU34w&mUBtC(W{}{d7E0?E%Ku^(;Y5DZoyk~3P&!Ul*AH9chPYhxOd170CqK@=g
zFY~wt8wD3xRQ5deTkv>^quPLV@y-%;VF#P3=L++dwuc^~@{I@-P3hM4MLxrWvYlRQ
zuQjHI{k*iYhL^oIjGL8?ReK9M`EIXJ>eG=({@7a`t#=NG~f
z!J{l*wd7Av&vS?p_43-06!>eQIuIWAbS^ykk^rC5%lDFD9&PlbwJRHX+{*l+m>ch0
z5Q?a~X5*e=QN|Z64Q{8
zD!O@P(fb<)BinXA!Us{>w0PtiMy*Ti%v1e^_*=mk^V4_XB~NZ&U#`rDZ=LIVtQHA+
z8uFi%5kye(xj}W?#3VfZ67`%M*Pbq7e<-q?{i@c8m8tvYqV{^z`pWjVx93-b?AuT4
z`Y;?#=0&tZS1^wg8DJCQ0ZV`u76LoUrZHO&&M?6~zbV*WN;^cGHo2LH3(~?d2d}>0
z$;d}J!rQ#&23#5cqBQo6rRsH;CD+JK_3Y+h+i1?Zx16%zgseMRwsk7ouHjXok~5X-
zawtvwa3cb0hNJL^Q_@|g0_K!{U;mUnSJ&r5(4SwW0a^7Hr%HN{yt~;B6Z~|!9wnExeuoJYb!>ra-!hy7pr8wxaEg@y=4DQvMHN-jYZA83%5a0
z3lDJXA{U!ue=P6sYXvtR&<8
zE&ZNWCIySzIqLTD=ZAa$0;RM4;yhx_D#9$zZ@D
zM1YI%{iGcUvJGg`sV;u5G|V++44bwHXw6Z|4O#?q3}%fixCQxL9xOQWCk-!pA3l)}
zIDDDBT_M$lYw@$(R7Q#nB>3I?R#i#e^{2k-_H|->_~`{v#>fU3!5UY5X?tYaFjyA@
z-sdqQG2YEy?%E48fSB&VyjaU`AGv6fAj$;Fr(8;`(#?`WN5PQUM7x@mze{T;NA9^I
zbYt3m+;aU+JP$hC9xBFA^-Bpm3Q2ZE;LIVa8^>xx5#u%{$F@mQEmY+VvQ%%bB?ivp
zp#3iJYzgj)wgN(#AXYA(z2qw5crx`)$3T#@)1_0xZGrP6i$AKbB((ET_3a^tnP8S9
zLbn42FkvUL4v%vw*#N}#6v7>=?HPdDlPc8Nrh=3q-y3Da&&I{$pdUzYC-u{`N2&UD}I4*VY?
zqX<)$Ti%`5n=5T$VybGm{n0Xx-!J=7N5NqsXREd?(d+6gu%iZ8UjT0_sG3VAzmkLGTA*N9-AcV>svW-h$a${5@MkgqCB51
zo@UQfp{J})9mJKMiHP4^y6v5FsDDpBza%bEH0SiDSXhGn?$gWGEb{7=M5fuef)PbRr2-$4Kc*>2~xG^R;V)eHm9@L{&>SB4^iL0I4F<+
z2a^KvAAhQ~)W$0{)}XwLY+9iao$A@P=XERH3G_HyN#6!JJLyycWl|O}AS+s(dIi9h
z=#=emj*KZS{(ctsrHk$OeolBs|qaF?^y_f&v@84GSXgofp$k}L08uEkk+#-pJ>y`)1B{*@5v2k^o<*0#%OX(-**05>zeLc!hm0kIr95+sw!*gp
z{Jt(;`u42OMkj2sbxh;@3d^D#K-ozi)9ID9sB4`ct5zVwAI0+nsXyGi_tk8Eo0_Y{A&1a*uo1z-;d=ao36)qQz{6fp`YR^%A*oQDvH
z%Rw>849_D3Hcv1MrZo!UrvZMo08{>-S_98Z$;nPr-6Jt$7RZp^a)L)_%_H8?(}8o0
z6l*we6ES!EgoXrIM0Hfw5T)=U>|%mwF)V3}jQ9m+^HgEEO-ozwIqoMcPFtcJQL7m#
zDUfrDDa8iTA(#e;ti|fctyOzQ!VWojFqF7Zm`l<0k$be%KYtz=`XrtzRn6qTh4?dgILFb`%W;
zR!1Hb6qgnUI5@fbGqvw-1?Ef*OYGnWza1a8C_y&iZCiSjd*#k;SQI|aC}Jo#xMaQP
zwtoUImNc)OHV;;C1=XwJCvlr{kEI{D7t0T&YeUsywga1x!wi!Sa_x01De<#7?yTB(
zr(Nr*{KIU!QcM$fwm4ksUyi!J|4?y>+N%A`Bj@SLF$ZYsIxZog?^5z7N4mqRyohDX
z!~h6k-!UQ`F2{pwJ*yNV`C7W0dHo_-NfiK~0=86}+z1Gx{dG-{7Th&S{TZE@)m$Xe>R4Pi36)Uvffo%6JnF~}i2w^(K8C8G>K;%sYL$*V
zT0Jq0Lj+jYN5N7-!cS1yFtQ>~NI}aXpH*=}%?dK?qp}PS*z=C1a+(*~N&0*TweQh)
zImutAtgl8DWradpEH{PEE?DW%pewvC8z8yUoq6tlt3ojKH=*3<8R1q7J{`nk<*yjz
zw8vpds*&ZEQF`%m#%cqTHY`%Cl8p@lg`57#&E~aKf8{gI{jmEpZaXmWU&q1~MaEg1
z#5;j`+FzBLokNLv^1*X{U>S(Sh(sNcY79(@X`n}Mjh?x8R*(!2jSLazpt$dFz~cM$
zk-0i_U06$usA9Y1%&kloM0T6SoyLI(G;qYH8X9eq>pq8bB0c|Z^#H%G3)tlnvf@MB
z*r+K>iq2OF-GF>H_az$xfWvW-*oCDT(R2t9k_%?YDegIOITn|tj~NoUyfLMK$gP&c|TjBMKRhT;S$jqjHg(?Le)IchgXY56$;>h)IKPQj*07c
zkFudH=Z6}-MU$dEMkEzCFnt4&HafTvhU}BmImZ(U?XfPtm=o5Ie%{*eK7XZ&ZzCAC`q90R+7+!PjYc0U~tU?fSEB9RXWVS(E(QQ4PnNq%kB41Rk?XB^Ij1u!R_
zti8`~n$x9uzfg=fxN
zPN`-+ReCUmD&F=R-E#bl5ZrMy&8{R{*)#$}XIULYJD9;n1-ctn@D_>T4VO_eJe&p7
z)ckjZ(k*stG(^h^_)u0-SZ(g0Jv@CBoP1mOi=vhrV&>2?4ckB#{~&H}(4|Q;G@j@O
z>|L;HL@t>d4MbaRK)xEEZM+Ek3=kzP9(9D6dGyKYgKz@-Rh%oHJ78kR;)w8V%%D-~
z>`N7k)aRF|Y3_XoJgyq}5CB|^e3Bu?KJyrN^}dX_WSt7kVt5GSZ)N&q#d?6q^%z7_
zdrkSYyA`GLmd^l{^B?$y=x3S=`W;l(U7R=61*TF1OEoZ
zRz+FgFugx+G=j;W$c{taiF$lwo~QVO5P$+}c85Ie8xjU^QksQ0Ho;=AFe}kQSiCl4
zo@HG*_UEv5-l&%kY1U7gB#=8hC1Qa|8@rz(9W!(PpUh~f_p;3*Zdn{HYsw=X-tD3nD>ftwq6X{qTZBi9qWoo@zv}^v1YWwdL-u;hU2~$OGNW&?}i=g%`ERyxLGj
zbHt?XXg*f{c^u4c)LXvJ3B(uTV_J8poT=!#dX`*uSQ*yQ%@+FdfaCleXAP3t9#Zie
z27^iZuPkM&C$%;}4`>tC+pD;3i{Sq;bngF5zJDCQHyb-)bDU$_oX>Np5ZY$sobxGa
zjyWYdN~&!}b4X4JDRT@-2sx!~4mqEqkmQt9DoTBH`uh3{?w_vfabK_Z>-~HV@ABjU
zKp92dAADVBCWzPHH+IgJX4dy$F`!*|g$gY1aS*nRl>e5n`u8i{<;*7ofl3#Wj4Iz8
z5blW!E~A{fWkn;$tl#MBq|4;m$nWGyr6)_E5x8K!E?b5SB&z1yTmbmkS`a4zBw_c8
znN$X|wgWYopB3Ypag!%_|S{IhEn!qk1
z=CDqAbh1Pz4;GQ;B=|g_D)}ft_mX6JgyZ!wOf@dWQi{lM
zbbNYiKt||)OE%|!!N2?}mUY-;40GkyL&@$;Jro7D&O@#qU7!Qvtv=dlR@WkGG>#72
z$T+sW`V4j=a4qKpU@0jHXAygKjUBtv$vBCZDiW3#0Fr7GsbvZz?#*zD@=KbU_UwOu
zS=BbdV)cd?>pa6FJhu;Pb8AWF-EpfMAI8DTX1iQLZ1!XmJ-ZLIStO`MHusKLF1|(f1L3ZGcW0Qhd_C!Qh#+UV^
z7y!1aUaU&B-=GT(b4jad_;>cAo%Fq^8Q*mDygpgoPyS#ua8Pq(@A|CAvsFnN-0{Jy
z)=QH4Dc1n*?YxNUh?9zt{!2zy>~_sULB51M2umYN(HYL)*fQnT(>{!Qo$3GX4&M{h
zY|ypEYJ)_>7z(f(<1v|14tTkKviiofou4A04i;qttUM5ymMTA!bl_aXE&uzll-u&^
zOhQ6+wI(i^%d-Aivf5V`78%
zOEFmCo@=2ebsx_rQpY
zQ9;;o`{BClbFkWxg*|8{Jgb1SOz(1xw(ei!1#dXhjU1vTdbuXNZ0z>4<*j6-1w&&S$?d-jWUM#p=0;q4t4vUg=jk^Dh>{3`T
zN}6A(y~`*POf*VZw({TOn_RygAD&qiS?5tBf&)=MQ*bEC$_4wW7|(DOs%PoLcgLfx
z*w(2mP}}^j^%IFf(H?TD6m_}ird$&@jKz@U@>Gq~4Y2|TvL2F+Cz~5TRZlLH;^@M3
zaWN7gmQIEZgAg3L2x}^g1|QDQS<}_~exb)M%=2Rl?}8bOoX*EZ@tc0%n4Zd%+qfxC
zv%Qm!1soEC`+CQypc3VmBmhjv*IW`|y{%;{Ht}K_81?#$FdI92j@$R2k9P0%)W+J$
zIFrUs&pSAL&E`&IJ}(E{duJozn6rckR^h(-3VXYFFgO}_sMKFipcbQq|RVkoolCtU^%fTJZ4q(3@KsB-pQ4PniO1c8o6j}
z(7Ic5hca=Bg8OdOb;Bp|=V!@EkXS9m)T8ukPbyd9`-Ak{?&cnO!`-upLxvH8Ok-hM
z;LCBvC_S?K+9j%`a#2RnRldr(SaMXjNpXgMXS7^Bqi=d>zi(jMafW<9Px0rTnsS=v
zFc@E6VK!zM`9<0|l}8kCxD)nh-u*NmYM>8*gPX@5$#kCs)8+C9u&eW7I}GrFZc+?W
z3Q}ZmyG@oSv&iReg-=6H<)~gW8okiyP3XJo8X&$7Qr#KB7NPg=IU)Kfe0@R04oGcB
zu?I!{d=BaI?4A4!L%pA`qFu2MN4EH-Bct16Q>R=PZ+pG7AzppI+p&hr39J^Cz_Y(?
z!%<9+$D)2aC)D~^)#|%(!OXKDu9~+b9Su{{BP)`u
zg7igr2#Rc+-W^95LW4kOL@gJmu~VUBuJsFVaNkCL3=bZ4e>3W5v6$LKt_
zZ-UEVdB^+lH&uHi(1~%C+CvAd;!!VOlbgT9c=6^e0W^pI!8B>D+Q)|2TBvh^Luz9#~{%3C~Q>RMMVH=P4N0HlH
zDcq#mJfQpHtIGEiAHnoy3R2v-Ns-DtGtJ+37QxxXWd3R0J?BWh
z4zQ_hdYQIaqy@6glOkc(!6K1=RPs?Lsx0omnl+wq6p3p!fTcgzrSc!`Nj!;UqPgJB
z;$d&pgFE+G$q5xz>Tz~4V<*=ciX<_*(G8D@z#|w4N1UpFfC)jKm=y{z-^6p8ovG`+vp_TFpewkSQm>fq|HTL+V<9h?j8
z|CJx4bTZ_dK-gQ>h0;ChMNBpN?n&pW4Kg;-Kl9P?D$wu&>Yb*Pk9$c94IEc*tzeT)
zYwEdTK}I?-#HX6BU0w6;J!@IsE5hh#^0IZf8yZWyTy+@IcTtcsm{y(GBg0KX_|ai;
zT;Zu1q;dKSuHabtCo(ZPx@sxh$Wo3=_A_Kjl6c!-u4LTOH55d1{IrEmukv|@(0Ehh
z;wB*2SLtSVMV9Jts>1DLXW!{g{r2Zpib~`eb+3EVG1QLefE4G8tT1^1RQ?YnPXgh%
zq*@#4UqjbgJES6-NW7_+M*@c%u
zGq$U*^Bg?--v#}ToY3BK(%dHDZ!i#f`qn?&`S;mSA2Z(m`&D1w
zh*FE*bP%!*kpN=>j=h}587I&T6yT}@sb=KP+E4zdVt-rD$Me!RNT?%Vo9*3G@FMhR@nMFbq-k!LOPN*9p69r{e?r;tra^+MN`yzU
zPra=9;~%?Kvird@S3N#7JLWS4Kx}BHsxWXU-};j2yMY&2#mEIt2)k!YHF>fSL_2FO
z9MEv$hr!>H@lrxE#v|TNrs9-M1^~Qai}jX!jA=b!Ss*+<<|sQpDE(h&;rYl{kK7Ct
z26L8P+@Z#TVUChNkJkD$o%#IFLx)a`b&Uup4MC}<-G}X;&1`WTGy#ly4FqW&R!iYJ
z$HN1+tSXNKG?ggZ2a?@eTyp!#nTjD>E!Ah^U!T5xH(Yeo@p~<-Vn=J7E8rhFCM0G)qAnx1X^(&)y90Mz9nV+6
zpFniAIPE(bUH(5l38S*L1G}BgD`OHfGFDw#Xwz@(Zqbdu%McM#COr`!RH>mVVqEir
zkl|tgDi=~$U1A7Pv}+~|ynWjtzyQ`D__ghS5bn*RYvX|pIoVAgU-;OTX*`)N-))Bv
z&Bd(PdV0!4@3`wH#!m;7M*j=fdK&j`e@%}&LA&CBU}5)-3}cE{mU;S*Iz!K3&|>?o
zMQ^1W($UowQYWkn5=ZnG9W-(rfOV^e>xjo?ZSd+p1mLCjO4>s{M*{Hltod?d
zUnRTm_8rkjAtDm-Kp{HLq=D@}gycWy
zRfIqKuELBv-$~d?byp1WJA?4-_ef^4VBlLWi<$HAVMNlAhBsIF+&p2U08uNd%wW-;
zob2zSut2cQ!s6oX&qkIaz#`)g7R(cRNsx^vG30*&dcZgsVAr$N#j??Hj`*Wmu`YIJ
zLbA4OO0JU`OUUX;i(*n(!2a!(eddN8#rdj{D5RspbYH`hiY4KLGrJ@tPG(^D5*_|L
z94^)s2um|s5e7(15wjAj6Qr2j#D1!>XJFs$;SzW_o0$_aDMP9WK5q&i*N!b10>iWI
zo$QXq+$$HBzv#l#!MO7~NvY)lSxS3`T;JhkyFG-vSriNZQ3j$AZj+<1
zY@PhSiFYOw1x~mAHU?V$3UDu47u(;oBz%f%FZ*&_uo*R`awVnrM2&dTeg{1jGdsBY
zlmOkWwG^5M27VGTFeZ2P?gN*7NPl+j{J5az75Dc?$aWnke%F^mzoo|JwisRQq6$lF
z3xE@OnT9MfN3^NhDn9Gpbyq$o>&z_nfRa7wE-3HMtfS;E+9zi`{e^ntuQ44LgWOFWze7+`W|AxEx3Zd62*JJFrnq^H~skJxDTq?`qfDYdZ$OU1ME@FYk
zL0NiJ9;ovnFu5*z(tRK0>c>3+)gp4oW}VK**+*jKjoJvqGo`Xp69Tx(@c~6zrphIt
zuLB^CWXA}iewcJi_HbqQLWBNLwR!1+}Km$3^A@#XY@4gX-l|teSN$=#(ZI
zN5kQQ2~qmNy!3ELkjS0-A^9G3V6p>`@a0TFg|Ggg?;@W-^RBi=HVGlZvQ7FarG
z1iU`p;+g;4y6JV+wb?jW`raP!;3ayjp>+)3|L(4Q;zYx#%^Db6I*tR`yGLYfHn8@!N%#P|;a!)z5xDyd
znC1*{Cw@@u_p*-4`ee6s572mE7k7W$^U@jpQkm;U>xK{PAIHk=vDsiPCm))6h^EJk
zTz@+mfN&&ng(q`WZ?UjCsqR0X@IL$3mHUX2()L?QW&0_gYt%9K?!T0KSL*aWD{+*D
zwcoKx8}lOOk@ssCDFvCyhWS3CjH=f~>a%@A3BhQ`s+-!ESu>ewUjmAV@gH(56Q04Hp%0G67)sTKI%6?
zvHRsY-|c|4U~q_
z;prHGf)`9Fy_2^`0wz*DX@R?D^m=GH1CKmZPL&Ed%E5lyUUO5syO|`kNE3
zcZ?fa5=-DW^(ZQtvL=?!PWhMqK;DIZoiPIu6_briBu^h1TX~zx%ez8Q{spDuhe;Za
zJ9j0gw`!JRZw?jh{CNF0iYLLY5OY|EnH27@v;iTbrtrDXE)~gi1Wh2AzocOVbI@>z(qCnOHnqeC_4d|H|&D
z4a(HhQ8B>rEXuhSuottOP#x-xBSoRqbh5`WiB
z2<&u%FklhT)53x7ws4gCNJukl$4LU}B?lS5HXG`&8xxaU2(G6fb|b*S!S%w0BqWRn
zFJ$BW9FVw0=y8s96dvoxlj+nBlNcnpr%VM$;D~6|9_G<64+Z=wvwjT!{(dI5REe_u
z-#TY#oAg<*G=lxyAR+)iKel^jQ$#I!Hy)i=SEDwEb7aAGxMj*U_Q*YwgBjPda!LFf
z4Nb$ZT~JnWQUzPW_S&(pj*qL3FIQv=0ksvz_mc2*XjdZpB&ohER6@$3w9LhQ5fH&qdW5a7%e
z*lpp8!x(R?oK@;#q^8S__u6`MIQbKVCtdX_f!4*f-H!F@29>}bd|8|rsp9!jYm)0n
z(GU|N3tWrc_iKyfq$zTaF7%PRu^l+kLlTK$^h!~XQ8b9+qA88x&n^+twgd|};vAxp
zCjxP8O4xMXSLeabLRc^)5PpD)Q50R@dw2V(B6>=NnKXfD9wU<@{bx%xR_xwn;Jsm{
zG0i!AqZ&@Y%lh)R=%K=^T$>rHs2x!yy-z^TV8ZN?+SL+lVaY-(ZX3Xf_tD~JI7FvG
z!vC~|H-IoAPplBvjs=TOYD%5GzxPLo<8uXMd!;V~q?|F(`;ooBrPOd2-91yvfwLLu
zVR%`C0D*qy%NZ^Lp#6Xah)r0b(}Q1?H>$lHAq3)yuFRkreoJubGhc)Vhy?fBD@Fss
zO*f|ID9DP%>GCq7*;&1ivj^IoRg#5*Su0u}!_h_fH|H>*nsqT93^2^;(PpAIXaZHZ
zb-~yHi{zKsW$AW-3Ql(16o1lvS>q^G#fc#@KCBf=HSXoN2}TRDagL!86=7%1XTPib
zbugdMkv$ii8y#RO=JaL4BZt;aohL&v667dPbTK)0(
zUlB~2OXx;xh%A;Up!nVOb<~x^Stvf32F_)Y3AR=@CMoP&$;g2o^!OA$qcsv74#+_z>he4%cHf~@&KAkiGGtuUW7;ih3PPpz7SLHv7
z1J4QZbd)XwJG?=f@a!8Greae5ojkB!xM?d
z9X7r&3|S709t(WvxeV*>Tou3X36@G=NGT@@saK`cMcrFQ8dAXGEp)BMNzsh!lBFql
zfFWvnOXV-;9(y!soU(7%KTveB2M%0B`YmnM+6v{;5E~>Ey#lqlc-)(ZH4YGOeTW>E
z;#THq*?o-I|KIaP)oqf9LL*E%6tljFfH&ce*0~)N3Pf8o?zdz+f&(O?$-js^f8V~4
zV+7g#6vWd+;&7DC0tXHoB#=Oti|F_Rfru8aOP#Gs<$Yld8p1%Y%Y$0?>kZH1)LeZl>u#sj!7mVpK5Y&cU>P8;NhYT5qQ07f)du
zZNnYy@lhP*KK-f;;Z6|_dY6Vc5QyyOL{9}pK7_;RH{p9g^5Yr^4h;v^L+x#>w~|m?
zt-}Tf6LuYEI=J7&pge+~g!T?j_^0Y=u99|I;;lHE?b2YOH{~)wk|1T{Cuztcp3$kV
za_>Lj9%ZRy{I|EK;4lA^q4JJ_3qu790)4cEnPtR*qvIQ?!`M$OUOsQ}vFCe|Z4=Q}
zXx*6WDiXISNWI>A&RZoRV7)Lu_%Gd4>4=_p^_2Uv;2N$Z3XD+)VS3njXN~bD5~_tH
zY6Dj3q7l~xwpzf=l|xy_w9@rw>m35)QiD*QFE(_&7rX=G^0|AriEtAM?W`9B!pVXI
z1md}SMg>H09==}7FjeH_;p-W0%W*$Bl8tc8Ttue-UhghK&rTTLSoySY
zvnKKAi53-W4YV_z>FGV|+W=h^1>BXfRQ!NhiS!!awA%+6n-$&_#HY-cqrP#w<|*5G
zwWh~a4QB{(i-y|I;v0~nI_fJz)--fYcy837v;$WpiYzips=wvvW*)0j2kc+|*<`kN
zqU3)dF9J<1cT6hbhvjrtDUYd)A2+)YN82Y-MVRPaNhB~6j}@q
z0prmWdNhbGZp=8>CUx1Fu41$_uqI=LVn3KtKpa-Yo(64r6i9~Z~hW>bf}
zk#1*o<4e}OOZy!(RC;J9%(5m+mSc=kMTvEUKmIC47~eWkGOI5FyRg`
zD^gQNJI0L889wd`t~;f@|B$@7wVs%Y(1Z@*jzi4x1s*}A4uJygm|C;e~-6T_gBhQ7D(raGuOUl
zxcS)B3PJAR&qe7RhXaiqL@oWv<$rG!DkCCasHp3MkC>^blTVIG7pF;!GlvFbmWvI}
z>Oq8pyfA?L$H5l@3;m>%qjNb<$HoZD`i24MP|ia}KE9UYc2Qx$+`>M0SS7|&?(VmR
zht8PXB=na8-90eMBnxf9Jkye3Shjeg3yoC=%_k;HtufJ8Pg>S?azS(%U6A<4KB-``
z6ceEwh0)62mc4Gxhz&$tHSpf@=oi-QkIOEP{uvH2d83-3)9qaU^`3J-5k=WZJBu}`gog`Md_
ziZlT%Jv*0#0tmweh5(T8VX}h5PeRF=CcyMdse4hVLnm9mtnY^Wq4>WrgYy0?W&1+2
zUz>xHnMe8Kn!DJM+x$T2H4qL$7b7^cfo<)b$0x_kS?g#8qok=v-pGGkP>c!!sD>J9
zY(v5j^!?N|^}p3L@4;b8Q7(!l;Wj6@P48zcBor3v*Yrvh(+hl
zmiP+^_r}d1R2@LmL>@{@zjg4^wt9IFv1;t!!8d5xTpw)*s2f`9B$f9{+Ox_UD(Nf{
zyu0AoPA>2F#{3fOm5JILY6HOlw@CaTIxADM7yq;8yoVXy)oS%AEGXSz)Mmx{RP`S5
z@s!4tpk@9xP0}(CL{|hhLsSvO+lx~&*IGYsWja>dCizC3zCs?Cb_2x>X~;OvC`q~m
zll{paFl!I8Q`AzA#CZ~wF5w#X-z)J83qC>j;=c@>EY=_F*`v%gdOXxx{Z8R@+Ao7x7EXw
ztSyMtsW9FGHjt?QpcpBMk80>sOw+#6tldKZeCB<}rMmjP~wGDkFsIYG)wi=ASjy<&{xsfrT
zI~>z3a=6x|5NhIv=9q%HUSt~97p*^MVAP9bO@Y&H1B-i-@D9K^&G5G0w-m~={%>iy
zZ$FZSLgUz_GC(g@Nx=OhS>ie+6%cf|I~3Dj_1@Obsn$@*)Ls@IobT@0)UIxhO=U0D`7~b
zk$%}$@!V=at7TV`aMpl}U%-NJkj?g%`w1?FqxR{fy`(tvy%r)n=q1Qv%W
z8$tX0B!b0jXJ}+&9s-D3-d`OF3t3fG)1vEKrD~UAhLXz+6L?x$cQRE0TH3L3=7p}9
zBn1n7z0CkHkkCrT1GIez&&<@6?5`1DtabLIt(%*5}=D9nETY*
zKzVX2WJxRw9bS()hD_nhPI8jfsrZ!Go^q41l+ix=5|YsY&y~tP
zc$6!K1-QKutK1ZmT)uc2-Sy~p=3o-qGOx|(Uhhv&wBKq8x-`>O=uK<3VT>q{xJbrf
znUL5EAS7S|0V#a5+i8OD0&y-NQBJ**@^CC0h=E>{3QS?vtKBtvSnar5DyT++V0LDO
z@y;&j(6F*(UZxnHJE=3<+auk7=(vu?4Epu~W$Xw$@j&-@p{|XJxRzEW1$;7}bD%p}
zV9HX}tO03dwIZ?GR)uaSshV8TscoHg^r$33t85q*2R}bJaXJFw^WE
z5=lV5HQ9M9H;Kj+F}<=V5Q(`FqN903`&b?Z;kuWplwl|1mMt^N(Z)D~l3{j%Y78^y
zI2~-USD_W^BMOs(J9PPkjdMrJx|oW=RMdTk;d&
zJS`4W!h(0BG=NiC#h>`B7<3U0D$~eNVl#w0-C#Z#_i{HnC0Zm!My1c=;XMP=WRnnK^}v$Zp&hQ24M4bzgD5{WW@
zOkU{*G6VD7H#?E|9^|91;?@L67vZ297p@SqF-X(x*UKp>
z5vEAEx|4L=%aT)9bxXF5$`3Gzk{YN$iThPrmK$zZrDGr@#od<1`m;aDCJMjUk+dtN
z>iEtfGClzI;ha=GtAf}`7R_q4BJV8j4O5ssT=tYkXK)GGPXfpv@7BwYHM$+ouQ)O!
zcXHUKBjo(3JtK_58V>Spq-5cpLt#2$OUS9KmAG_&m>jErT@#j-ot?oKE3F?&>ST!?
zX1}Q%yAgdj>tWlIc8|Qbn-7$R;b)=MJ%LEqMz4dK)uoKM#!d1h
zA#j^8%Za&3!(<5o@%-$M{#nH9(U^0Dxz!(z8<~Snqx$>J`T3MOA2hH8K_BFvYd<0K
zeXIVaL-Qb0w2vcX4iMhcxes}Y5<;gOltlAM>(wqXl!p>5+x+SaWQX0);#Ro8#T}3p
z5A!9HCb^p88aOBs1L|@k)v!e6CmFrRGR0YUjByhvo2
zC2L{vmR@eBPPwc1u;|UW{`yM9NoStm@kLhuAqFa#JNv-%fn&m*TKEx|8o6#07h_G{
zFTSgw?W_N&gh<5*-j7L$;|d;-$Kx@lUu}7Rh37EFq$jZIP&avum2+vZ$5*&II9||N
z8WMHkBOZMVcYln@gJn8({&@5(f60$5e0r}Y^D$6*;1F4~7^g31oSKqGV8Dy*+38+q
zlZ_ml=yTb*YU&L_)9-`TlnqS}f}CMTC6FUH;jwM=w%faxh4JFrkOZx!6DTq)w-oL9
zL`Mz{jp=n|srZqUp?eG06**Aacb}OfOcgfvbc|rT7mcj=KF=dHHz!3!gWZ{a8AOI*Oe?!^qJ;Us_NIzu4CXY1zA7#Z(TP@Q@$8O
zf}TAXUnZ^Q8e>7@N_%moSq!OswE5t7bT1m!JMIq%0oXOyx^YCoj#$|uLh8RmURg=H
z<#c}=RHu-7cIgRwFQOaW5V|B7Uk~z**;P4#_7eex+xK~$t4iyb!PG6u28(;vZJ|$>
zDC(h=rOIP4t0}0gfC3k^UK#o!QOfa$ezzdvDNPE2w^vsce*&?XPJ$oHL_60*0&vhh
zyA`1xD|D*g{0!b$p6Z+ge%%^LZkvP>p$)1vTr=aMHTj1
z`2ulwa|O#?&lG(VrxOp#d+dq>IN^#0bk4faGzF>FLh1BEmH~+B8MiRT&ACe4@w1p_
zo80ri6s*J5^lo1S0H}ba!AS^y@tmg0D}lc+#hty-r!y~2t{8?U!wt%X?s%bt7X=fg
zV2ye3M4F@nC36h~WzQI$pUJpjTbRbUy_Of9p(-TYpxs1-CD6gLA7uS$Q2Cr|YmI2k
z53~ah8eH$`{U3dpTyUHhLl**0b3(qK^{yBwy5fqll{xE6vB=AWKNd7C89-A50)S0$
z@hfx?6gc}IxTqPO%@jXJga+=#`tRiOxcaANina=(H*M4|xyr9VfFsV(2R>+j+=1u`
z^NrX$YiEqkI`2AsQ?rFmpb9Yfcy1_Wg7IS7l4fY~ExhFY&x{b);`lS@A?GR~hXsECGL3#Tn9mAc|?FPtsepBjDclERhAoX*6%2#{deLFh4RW^^z%
zZ5GwbfyZzK4+1c@Shn*XxJ=A{C#=k)-8AkSwyavsXIv?Oc2jt1|B*~hjE&3=HWomm
z%+G2CWx|KVvQsy~zDp2+7f#ewf~W888PMJ9S*E^)YE4yW`0ol-tm8rY8OIXz5lsYq
ztITUt&<}d@Zm$`76YNNY;*7Aw?AzBF6>+AycYV=!OhXLgq3-SH%j?mFblEdvf_Auo
z0^%;Bc{?;70Nq@(Hf$^@@fExHv3lfJQD=L&k(v&4Nr+|}I!d7UCV>yrA@s%CQCS#s
zQ-B98UM(TKUb-*GD17Q$c($p?T~)1lIjodkgXA5u9}o8@$&tBrN6-+LO&p8?jdCs_
zo_Xk*^I*Q_QC61hTiL^h*QE#&GQQ2W9)=WAjF2B4QfwBhOO#c*Qlp^J
zNKkHgs6^JbB5D883>gb|i@8-NJ`w%^kDW9yYFIoH8x#CLlQQJlT&dUwnb!m$Cihwv
z#H#*2uEUR06W*L(<^w=Q!5FOum;OOw97Rp5u|Zz{@liQ3#ZQk9Ke&&~D$_r?8;1f3
zxo{7J1eQKGc$1s{-`^amr!dmMq(CulV*f|^KaS3ZXvki@qsO=yP>M
zeY6$SP5@`_KJQ@uo`c>gH)1Q5~xkX+^=pM$bM88)Z`FQ8zc6(bEmx?si^p=
zh4&i69VE6zYBR~Vk+CZ4K~3)>P{AILRPawy@QrLO?MuH}`Dxf5`;Ob?ozEvb|M@hY
zaBeqv%sG3gwFuGv=F`(Fy^rTEQ&&1VDFt=#t&T4h=;=dZGvp`vk!{v8yU(Nt3ERlC
zlv#`dMCgBio`H%K%+KW(L_Q<(A1@u_W?;JRA+b*)uOJdIPmzG|MzWd<50}+^U#3RQ
zL9yo!Z-v2A4ZtY+Db4fvhG4$@78U&$b1=OvWT;!O$f@taW1F_8M(N$b%YN#|xo3L<}r*SQ}N+`S>EHVqbtUSLwTo)3TV;;g3g7ifL!J
zc|NW_n~wSZ`fe0RQO
zN_+UVSv?})IZ9tgo?v)#2}1=ijNu+NUdyWvjN*f*oV1ohLnB_PBlLHj;|Ul|p5W2g
zN+r;c@Ya|tV^oB}g*<%P6WH^;)~`JsOVAp*QaG9kG21lOZdFaHOK~KMQ$&
z$BRQ^Sbqi0z(H9aLE-6(D^}bu+KQr|O)uOz-}*Y??ffp<-f>c?WW@1?c4zzanf(4f
zv|$xfyU;<5@M-$N3ST|8RoZUq1mwk$p7F@L+TR~MK5u@rVheedGk8I`Cc-gS$6q#QeYk3*wd_<&fIl;a$P{USP*~HA{)J64+McNPs^QHW-l-H9<(DIB6!aVD
z#{NSbY|Y&l+f$yX@tDvr-itC2fN|K=4Y{E+`6rXhiE
z|DK5j%qx;_OIn<*P8-9#Q
zqhm6M3?thz0=f^F&Fe-#o7Kc>e9JfqKH%XzfaXCXM!U+=dM^&ng(17py6^K?x$qHf
z-K+0WOUqA&v2CW~=CukZDGJ$s=yDv+^?wRsj=QZTfBIm$n9lSMx30Ramq3cGYzI0|
zy+0+^W^B98W27G!bMM0Rh+xbIa+<}co{J2T094Jr*Eca6IgkTgBG_q1yH
zr?rsFYAwQTueAFzGQ{2{ymN?J8jJ)FY{}SR0
zduzoT3(MS&l
z<`SjV3Ci{wQ3_WsTqmvr(h2m(1v&_;T#h`Yn{eSNzYYW8lob8p!bPcJ29pT{}%;a@m)Re^8b-7gOFw$=T&;I+Ff~irL)M)S9pZXJt_g1&_LSP>c)%)+jL(Ev-4nSI
z?Y{G3-KE_2mTt)0Q~;lKFwqp6DIVx_*Iny)zzmA6ewYk++ZK9!8ZAMm9sk>Upj33<
z$#?u$h5X`Hr`&80Sy(WiEFHZWxnER{8~7Wz
zM|(5BsdrqRE@zXw0Q+5@sV>+^Kql6&N4ETz5n*4^N@&{T-{O=aTfUDnoeuwx@cU8S
zC#k{#4pcNS69?NT&epA(>5j3M9ZNmh-ELa0X}TS!ZKM3R_S5P8L{srcsfxs<6^pz4
z$GVM%5xHjur!n!`!^qFiKWrryJ}4t8-X
zx4`s{@5y>0;y7oqoEl|`j`1<;p!1?fcJC_-pVJWex-#CC^HU!F_$KE;VAY9h=3xdw
zhRnSkANj^`JfTnPi)TmJtslNoTg=GUhtjBpwk~JXFZZWYq#}|J-ds5sp?uo@=dbrR$8Owk
z%{T8n>QHpx8+_q`gLaHIr!3DmqGX^VckVrG?mH)MKSIhqB^MhO#EdgcR{qNdnIj5R0G~**@UFRF>0v;Sa(uY6!n_&2t)^YCPve>2X-q7o@oN>`3
ze>ty}N{>~E9$fV;4ZiQ&?w2~HY*U{RgkP>mOnmOiaRn!ZvXb-ADE
zZtd^55iOK;dqd3Iin%QeoCoNgYmMZZ9Z`+nFM?F$#Mg<%$ws9m9P%ICh+!hlCJDo18Ek2Ji*qupGouu{Kd?{+T=
ze^*P@Kr}G(mLyTNX{zTz)w_pMH$3=z(gtL7n8(ip;|s^M+)E0+
zcdy)~{dU_2YqHMM#1e;A5p*5RbOE=qqjx{%FH1J3-lmtiESgAHu^cKT1Kzt;oO6D3
zAmor*{5uubX1DW|-`NiD{N6L$r|aYO%Q_7yM^7Mzz5mCm0;W_w;-&jqJ;h+vOpKrC
z1&_3iN?hr02Ho2h;|u?xb|SYnh>i80R)@f1K@^Os{R};#IiNZ`#QjJ4%XBjdRe)=W
zNhaoQ)_zQMZgSJTbH--p$>W6Ra3E#KtNr<1(+uB+-^8k@rD
zHrGHd5y1l|1OR4IEVudFx>$LQOE6#=*
zm4OOgemtPxb`))t`#!CIpZv|(wm<`ZSO2{Ab<<(`9Q;gj<$5wY1_v%&PB@||?iwts
zKbQXa-Yurx>(qEowBX#`oVoX;Z;y)ws(sQ!P}!`hf|ugH`481TygdE!_sQ3dm{(fsT5x?I?XAM)xv-?T7ZSx+cSp{H#3Z
znfSM&uK13N%HJ@qig1}@`)VT^KoqN*6Ti4m=zQC2Ya{=OG?9nnDpy$J6#*~JHvO$tz@+|T=YDx)gtV1b|NHQPyV?#NT)+g(bt7JUzWwowqXS$kP$X7
zcPMW!_0IY{dE%{=HE)y6Yi1hRR7XA;(LYj0u+62GjCb$5$>MRvWpD467y4hy6*x3d
zV3e;g&M1)|yi*Rt6Pe|;j}u;`Rw}bi)9j9=4yIA<+Q-{Cx!HyCmWi{r&lm%%adz?$TERanNV
zol)d;=eF#Lp{`umQDs6?54E^6=jP4>Y=bDrh{7ys9*7#go$3%(a`$)86Ytr|;dxl!
z{~0>(f2zMYj(_fS@3pRL?`wvPYhx>lsrB}7KoDuqIn
zkZwX|NsGqU*B|it;d35mpV#~O{O+{e(B7#i9^u&anw<42rq7w0^C+RCc2#QJ!&!KC
z%=oRwmrnkhG2Cwl3q%VFN=$CdTJiN}KkV3cUP#D%eOE@aRl1+1nRd$MhT_N;`Nb-a
z)R)1!i*bDs`|jS77L<@HMBuS6O|~*k+Z#t}zX<&<
z^QXaqW8S|1QDnw&bheSe12aucaAV_KTg6}a_Z7~z(tRhnPq-llCK}%kGNLX|>=jKs
z33BTfn$Xs@FP-lYoRZz0*WHVnY*6hC>n6x2w=3kR?hz`6(f900#>`Q6D`V83d-!92x=O`Lw`a^V&uw*j
z@U+$Lre_uD^_n80TCY9w?}uubI^Hu1RH+voeOW-({p6dVNY
zrfymumHCqIeA}`ev|LIj&;|Z-ypt;YB6m~T^n
zuX8I&kVqB+=7hxjS~UC~DEW!n`L#LEJvig{Fxju;C|Qu?_o!*E<=Px8z^~_>U+f306OaoVox}5
z!_$_|c;EWtWX9@IN#@)FY+;~|(_BIRAcimpNW2RiG6KwA_H1q=TS7@n=jehFbRm7Z
zl2Nc|L@;k|FuxgHScWdd2kuA?AUAx--~?yQfLK2kuHOA1QXI@@w#c_a<+BM<{uw+I
z3cPYA3vPq{CenGl5eIECHUb>Tmv}lts4S9}7Ydg~=fQ$@{>}FV_`kHCN45vG93@vJ
z(F7Gi89kwbcz%P(H6X$fjp#XX*Yd?x+evfX0MYQB(*|yVd
z=}Q^tfRT8TiVImDOV+uCc(r`81_1FTAySuT$aK=-pN~>kpAu5&$J-YWe2YTkp)3vZ
z8_)TXrg;pO+nS~jYUE+>C*U5=Ut#jqCWAi
zP%#9uAl?7`N+iwZlOUSr5cSEvB(gJS9y3mMCr~KLt690Lw1uc$DnfcZw3GK#{=!G<
ze_&Ok$lOY@ffyn-g>GE}jRMkrn4!dbbn5=+>=Gq}i}IYj3K@x0X7vQ*(3h_fBLNOc
z8?(??F?R+H=SD-%Ma^9MNj_9UJ~Uo=i0CI-LOKJGbcdhBs({TI5RK1Zb0A%9hJ1(x
zGE1V0H-L>8)R+`MQA08&7J&^~iGa@udgo7b(nCw=h99y=H5j`tP&R
zv_x93KZarKj
zRgFdV@lHFv-vKAiz{8@TY0K0zoX0WvG#65u+DYQK2@?9bb7*Sny&3PGySh*X3WlunM~XlpW*`T|8`n`kWqO-=}k0!6|xdnNPyWqhBJ);
z$kKKoNjsWB$=su#AoTd65SnJY4LW{dhra#&c8mKm;oBM6dC_LN
zbrQ|L1g2#3gN~gWF8)ygpNnummql2f?g)8t-d~g$JO0lX%>wxBK%edrAHf3x;6G6N
zAsH2Z0kNM2IU%1a=O39-9ooOTPi&YLf4(|}$cv=Q-lWIp(RJ@H4+Nabwu726s0EJ^
zE&IG*o=ANW1VS=_kBI+#yA;;RDj&UNLba5CUlZG|=K82<7HBRzk9`pmVitgmU1+rq
zY)}5(_{IN8TMQ*B%qG^Gaos!ee$2nBUujWLJ0gPUa@oQqQ6ut?^4WP|?HIb<qNZZW_)&(ARJW2npPCFj7l
zGw&?TKyCTd^CvS65dX4+_WGBJUBvmVXHR%!5JvdVIZ4#@xv+(?E3HkxsWK~Hlosx|
z&hx&Un>*y+B>Ug3>ml{O<|cbC^=P~g{JAi8^6zL~%G%A8_4_Fs4^uu}4`Dpq$^V@4
zWj{Rd#ryxx^8YdAOJo%LnSM^muT1*(X5**U{+E*}cP=FD+`szg{{AcHz@zX}5$&NQ
z6*(fdj{@heR0#%vfiyl@i)@v1@?(LjRaeEW!X%?wC^|v)Rk=f+nFg{|)w9C%j#mZ1WRr6P
zA5(Y_pI3hi;~R7EU~)(lun-bW93eDW!V)(c$L>6o3+TPF^h0g=`1b)cFd4je>
zx~~da=Bi)RS$Rp={m?p9@>Qgh@5F2-8DjXuJ+p(;Hv;R%RqpM@lq
zCl?8xGD^o?OfL*D+D25DUrJS~ze$m3Y^bqmwNtUcWYpH&-~5KUlWpkmsgB18-`FG|
zfP2=|wKIF?{vQE=q{btJug$l!@O@$ShrQlV#~XEf`Ti?+zoxb~UWa*r!UW2?T&^*9
z1{L-_DAcRc8}GqsJi9t>eE{;j6wRVG;>^`1^-%RQ^Wc)$!xU1KOs6{RAa4l<$U>
zKU6@B5D!CHaoBHooCzD#ryso2A3u=xS)k%yZc(^}r?Npn!j}rl+*OE7(vyT&TVTXR
z-C7DKOLxJri}sQTdUYt9Nm-Ps_
zE?;PrUEo^QWN3DM?)r8w|C4G5_Tp;IufXoFPYu5RSx*ldzw~+7QugS2yq}rnR?*4-
zy1&oGYZ?AfQ`a*7{I2k%8HYh#xbk!5!TXf)=OkrVH{7?|l$T~aU*#QBf*15cky;3<(teVrZ}b
zhzZUA`&P{S`Z2p$_hXeKVOXT-^TwP4O0ucaRp6BU%dMPiH|9C(i-xv7Ay2Q}8mt>%
zSbZjNWxKe0Ge`4+(dhN?3C7d;TzOR=2XoC=;k`6@l^P#QedAXJ`#e6iM+}Oszn*C>
zKk88-F=XWUDgPYwoZu}Zqm~he_Tyz5cLR`9K4VFrZ3=@1>kSUPC>>vQnf2eQz~v7e
z$nve{T(cGMg6jut3Jx^&Pq?LQ^aMLOFPq)<$@*&8Q10(jRYiAH>>Q1cOoQ^Oby<>*
ze$Sl?VQhE6d9EuWrW0a9RB5LqSM!{4_`q;13CzE4NMzmz!*9Ix8k9v+#4pkS%@h
zevqR->q=z!Q{gOZ$)ovZm0z8c*Dy#4Fl8;opli0tSFC;GomSh2uEihur=Ff(_*VV!
zLO@3BrMV5^+txbRgR8tfC=3MvfI0xE0*>IbU;wcXfDlr4EM^~7mru=qm{m29j#hBE
zVb@$el%=m3JwM!B^E3}@nJHzjQ%lXzbT9UQ*0S6$j^plk+Kr1CEzmy&F3BjYAGwLA
zqNE+BmiQ|8jz7Yd;6f+r38lY<426SVRO)ki@s=KGd~-i&ATx256Xi~JCjH&NKK=si8X=xO@%*6_1Jq~GVR
z_-(J-#U>WFoF28V4P;9n&K94IoqI*FOZ{17BmPH6dRpI&+;n}M
zGPrB0YZm#(e>33^0JpoDXiLEr?@Ai5
z$r|tzqtL7PtrbD?=JvpN2nP2E8k$w#wEDqZJ~!!O?nko9B3|Dnu^Mmb<&91imUvc^
zdZ6MBEhN~e3Zx0DJyR@jn58cjSnBW976rN6)CGHl*eew1x+mSr)P2$siV3)MJG3OB
zz{4tyf9Mn;EeY=9QR;^(k}vkbtkcpp6VX08#}m
z@hMeZwii_jeq*Q~|bit66L$?N@`DRjZSFFDL}??!u8Oucna
z$9U!>#b~|puKOLWqATESn`65S%Ush(Qr~h73$e#jd8@YFP{-nGsV~(dS#zJ8t@^n=
zGS$qAz7%NiJzwipJoe`vFKABTrOw~)g)h|WN?vX7V6RZ~_}|P>UG+sycB^{W7sn7%
z6(0X+9=GGJqd|8RLto(dI0|{DTZ(bF`SsO9Un(jBpnm=g4oyt1)pkp8b!m#*A%kC)Ks#8q1eLzq>I{wcRg9%&|`Woz7!)
z@zMkiNj*Tk+rUF|P2YON@k;9QSn?UZ-EPh?U87a^^O*^8-$q;TWHj4FUJvN(jrpSa
zDMMeKk&D$K1yQ9mNq7n`{ssU>D2=iPB=w7cKbvBc3u{}#Yo*a$KYqvNm)T~WH48CW
zJqY$+ze7MustPqzQQ~_{Dqkx%d2{yIU()_&+c(gbPMS7aoF%t#e11=U=`PHepx$FC
z*`gy16%r@g{i4464`4zS5awL(k6-&-qStDf_{<8ncKjOn2cB+q+EoFXx#Zi?C42h|
z)&fV_|NIG}kVGI^PWGYqvlZDFmhWTRx&$ZmQ{{zy8|URX5sXb9`^3^&6zwRM+z3musk7*s~uaF7F4Ds}>c|fW{L=MGS-?zdkUY!r6
zE^w&&idF7eC01F=RdC)}5`Ps|G4nh--Dz}Q!0bJP%N7KQd9I=I+e8!K9{E;x;!$K8>;uH;dvms66tC>cHpr;u1K2SDBCB?X#{Gy53ZN^9
zE_pkO>`tZ%d4MHEhSSvW+cf!6w)?9qV8mc>t~i5pO3BVb`1NFJa6lvC)d739kyH(z
zEs#58A-Fewe1GJ!=Bl)!iuHmH6J=ghEgOwaJNkk^aoC1PSRb6;dO;)~b*j`OoUPuqr&hYu8$<{mW({b29RuB3CVCXpMoh0x)Y?!WvDaDn_OZk
zyF3YV1z`~vXwy>1A3W9HcBAohOkG?frI~Ji+4ngz)X$wU(QqGH1ng?
zkA^BQCTu2QuH7|@`&85s)_B>DL!yRbVg2Jz6?K^KVn!I~a2a9N(#ft8uZ58~-5$y%co|PzQ=K`50J|k4j
zV46#(_ygbN1Tbcp%_TdVKYO-zL;9K_*=(0Jf1SdV4!WGK$?nSwyBm7?KaQ=^!EzW7
zQxo)i*9NIR7{F|Ha9j%x&E}g9$qj2)TK3es^r$(v5H%pZgihxloZxd9V+!pcyhk@d
zISvig0uPb~yoT}-0OzBmZVy}s143T&EaKN3PLoi^=O!3Bi1|O!(EC1{8#WWPFZqUL
zuJl@t{~TjLW+}-M)h#J9Joy!Q<@Jk}=A*0_LgiCOtE7dh%3YHvSxb>mF6E}a{HYFpzQUoGW0<>C9>7Eyc9t_!jf_+zmnliy=#YsI)QK@#Isuz`Gx+-SG*9zu>(V%RZrPdjQ)L(rGX?vK*I6d@T+VNzr`
z|LtZi{%a7DC7ObVe*qG`=Ifu8d456$;N@7%Oq@lV5M`xV0MLU)7h%!ySafi@I4ga|o!f|J3+m|(T_U_@gi+Vqf-K@itb4#)xum>xp=2C4sZPt9H=
zxpH0o{3}IpHy~gp<+lyg_dw-6PBXwm58hiP_g7`i@i5b;FcW-oaRWM76qbkp@a&9A
z1n|2iy{Vsk^6U9pgb>DCZNNamX8W9;E!u+%5DkNAVbj19V2^ExH5wXiD_brmk5RO4
zi9aTdLeVgn}H?g{$8}S
z!9flxATF`FOwq6dsU_+*+6{;Pn*?#fLv6;*>qDT%b_{jxs4G#7GlGGh{fg%k#QeP_
zQ1(#wZHOcXbm^dkmv~Hif60=o8F_^Wi6BDe?Vt|WJPE`612wEpNWr?2&Ur;S4V?=a
zT=8eQBvGfJq@NHa7U;kjABsgg;Gp=ZqG&d%nMnbIU_HA~b1nsGno_1V)j`$H4y-az
zAVyA-@a!a?ARg1gA>wiHv)>>uy%3@gq0zsf-wmx}Gg7~cUe8?w*~Klt9IBhTUFCnNr+b{#n#17=Z|N+D4|}^KD8m
zR0qLRaOq&T_$o?T$Rx$uR>>cG_};04roDtyaWH#Q3Nh$1xX-#%RYm%lxxO8GEF+Y#
zCm@co8`<|seTII0M{m<{h4Q7gJ4S0<`nS*%$|n)TPZONG|>$L0FbDCBI5MyErx`U
zSQOVo7WeT>w+GqD+yt}@9_9@wm=j^=u!wjj%<4nD+=8yUc{1p$S~_qqCTpLCoiVfm4T@PdiEx`;P`$RBJ*3#j+0c
zSNJz^uA`@mU~UM6O1sng6|$dovZQj_9W>~WhEij((kz-Wf>OO)roA2~bE(sGC;rOR
zIW9d6x?H;1FK;WdL;VlB8Yq?)uXVt70!*Y?P|L~uM~z*IM5CneR}~Ne;`0sR%**JP
zcZ$6X1T2lp&Fi5l*v?dJ-o=fSI?S!1eQxEaS@`$j7+k&drSIMF;0~?ov)ZCuZ`N*q
ziB7C0po=zyv&4H>wL!%#nB_ZY+RkG^^D?V8r3aG2)$#%&VmEq*Tgv~St-_(bhtZCB
zCh$jf?9OAizQ-P?L-)mfVhYO8!SMxcacSoL7*G_bz8_ZA3)8LvI9vd-c`OnE;Gnkn
zgI>lxUEC+}S4a>z9KLaOc%&lsdtYuORoFs-E1Mm*flfaa53cH1z6cc^jklW4tp&K0
z91s4y!}46b+1~-zbMgVBcNw{lF8I8wK}QG0yX;BXdtQt)3pg(a{iHlw^t~`=V`B
zJ7a>bK_`ato$fw&A5QDWel$_i0h6OA1&$*zh25A=^h1a_%6z-?F0RIj0JCMB6Pw34qH2-M-u@7xpC@z2Y)9-s-;168p
zzn(_o^6gnQ?%SDz{up^%>mL@x6Q3~QwZmiGhBW;sjr3uO54~9P8{)J5>VAn=$~tal
zJyY+4_3NP17!}ZF7k38qM|lrG0z*DC=jiC3x=^DO#ywI+
zrU%1+7p>KEUUD7dxR31)2LR6ei;+8M72<=APUzrl{*-sl@AFR%oX4ukjNNYZ^$U}N
z`BTT_sI>mXnDmYfD-Y&eXTpulzCEEWp8NTdWgY}r@Iz!Ghsz0oyJO)_2N9WZbDy9o
zS2^lQxqcUEOuE4v%@MRC&*YbG0cKY(-<2na|GsJcTQiD9YZG6^U}5-xcn3%HNdikJ
znkx|p_a(jc1=1joYBrw>ob{hPH1+&K(-guqK9w@c^2Q*Nr{((uMr^{c=)UV*D>N_e>N9DWF1ss;r>GVVoIG@HE~Yk#dDaE
z6BY`h7zOC`D_#L;iohAlRQacYBM--{|8;V8SBV)f%*0H!0#N1p567-CEQ{uukC2Dz=fCSVM0
zp_wJi2i!cca}!Z*L~g#*#ZU04awJUBMIi;?A^!
z%-5ncu8TTm9|_IuNR@`)Ym2fIvtFV-X+7O@O`oETR+^LV4Q(S!IXrDR6qpPy+UG5U
ze#kfE-t)e6Qy*Gbds(rdFk0|&ru*{gy|>4V
z^L_9zAM~5(NSF^1wxRgu_rF#5ZLk)D%LR*SXK{l;AbnGG1c4=Z3MQMf#ML*gDz&+7
z`eEnO&9(Sht7S~WVZK6bwH*(;N!KGi+f
z?bn{;F#H;_mw}`LAQ^04=d%mHHeL&LLt9*P-h4Vx9dr4=y#^NGHqd~*<^$fWa{+#f
zkgu;DIIo9!O<;Fk@#LR9CA;^!spQDnLxMUMzhn0#^+Y~h{%NxB5}$weo0QuU_Zmos
znH-9Po!wsYXG3qQPUJdww%lBHL&Hp&Fh3UT5)=0AOZh?7BoGWI2_5!k0r-Z2yj#Wy
zX?g!@Xt0oq!S~fpx8+PBikFO;6PWpYIA7Me(rWK3k|Zx@-frb>72!~JL{{Xh+fpq*
z&GgKFPzjG!LbY{{jCGmEn)@y1id$E9Xo~#}he6)Snd6zl^16@kMwp@CLIq&P@Oy{V
zRzXwrLmfGAkY$!>@isu($r_}`(xG9^k~_3cG&UgYw4aMkvT@MJ~))97p~Ga
z$3Hn2mma+em-hX>%GA&}?v9~KQ3Rc;sf$x_%5EI7m^
z-LHC@@ys<>szzPz>U>MNir
zJU=85db&GqK#nR&T#5qY(VCC&c0#~kZwnMPA)d~wd2iPal~LUhoPAV9+)DfD;K&P;
z&!Z4+D*;#$M3c}+sqjJFuj&R0(Fk!EHn(IX63YK`XIdg;aXgOmBkA%
z-X=YpZlR6`@KBOSgI#D{Q={(v?k@%77;CM^P+cc&fprX^+5CL-d7kNdHFxj&_CPU~
zt84-y-Y|2Tx#&^@w)3(Ru&RZg=pR746|gM!s|&FSQG7tlOje)Z#CKMgw$_l|ac4J^
zZ;j)3CG3&NQiSEC(v^g}wdzte-{r7WRS4iU87-`Y&;XMdhS^DAi*?NgUDTx1@WG8g&Zi9Z7`fR!LF<{v4
zBPzV7==NyHmm!0b$=7`EzM5!%w1Yg{f~9lKEpos-`2Zo_Q{{>kT`R86gqy9G+W=u$
z6x{VX+`qk8Rb`wx^?e}O)y63N+A)dSYLj*$PC+y*Jc!S-?8<6pzF0B>h4_bfA}4JM
za0F@VyJ3q*ni$T{GDdvQhTpEg^=N;+F<2&}MzbM)U{!2ddM!)KbU|${y^AnV0&FA&
zGu%wghxyXkA;c!7L5rxTEycUj(U14xrrVCeDPt%F1~iDDRu)BJ%iZx79=n^!Z6g8D
zzYd84(c;S(T1QaHhdcqwOG9eQ4{zf1iO8PBNqp1dS9Lla0vOLH4QFW6cl*a?#x3nU
zXcRbBV(c^s9}j#E8K}v>i`Ufz^pM<~iGZhOm$x1sJLOp-Egz*Vv%>zTDAPy}+038f
z{dXxM);xnxt=&tgN>>JatLhMw=`!Zzyb=h&4B55A%IAT2CqbznjGeV${Qx_(g|8so
zsDvg~5|7xa&R1;oC-1v?aj1uE$Y@LAIMwadRQRSfUZj0IH4lTFxw{S19yRAbjz@eJ
zsy8$?BrAMzE9`y(kPOwifL8!pv)Y^|U4>uJ7ER?UuZ5VQ!E#;rVV?rRlTM5oG>;ZilQVf-EO0|$f%K#^{a^kfJD^WiuEYANYtH4K;5L23WRN4A>N
zwQR`Uy?56G=aJ7)Lx%Q3rF5&4-J+pk4}>c~c$j2~1vhaOZDeDg3q)B6y+u*Oo#
zX!}uQE*2ZhZw3`?pR&OgasfsHWbV&v79v0p(s~CYmqN09|3nBAgt9(VAQfR|ZCPnQ
zeLNhVplI>h8Y+(+$vM}mtb}=#E*ish-Y7#j6nmS7;Iy~}o>}CdH_!47aua#r7Rma1
z+qHo5%w0*^;eFUg^F(VhzP46bUMPCZF@}V2V;r)$E9MdsLljm}w-Q28VE3@J_@h}l
z)9M-Sw@`cs&v)x}7QY3WK_tA^BgT>NvT+d-hsUvl@(WyORk$lJVPnaM@>(oUw{o*c
z@rypbYIGx3|vr7IS`^N6_9
zXp4{XteSRO71C!l%JI?MiVwuYfGS#dn4^$_rhB?_%Q(G${Yd4EPvX&!=9T6V4-Hl|
zh{BKFn8&c`dCrr~`
zrl2dQ)#N!F4AHMjyzT3sYdfs2NoUPGJ?3&Qw3S=v=j~mi1UBvL!~IP99EdGQBMgoX
zx|`7E`|;pTuuuyd9$q~ow;Af|(xw~6-U5ary^!<=I-W1-P0nr|{X#mRk4*=%JGb+8
zDPKfitc~$%Y!qnF|0XtV?XgFrY`*96mXwX$^Qmy-fUrWFKGx`JB!BZ_tV%f3Fo-;M
zvXN5#tTy6~w8TVxaZrtJ{37Vs5c?!BAUw-F*h637zfK$w1C!CFw%-*bM@C|Gr-MJA
zflt>fe~t7i+^nTH89n*{lKr{8==ab-$-~A@{4djGKR9#dDg4*ZlAiS+4aTbHQ|B|=
za9qaYAmAeBNRe)GstWcqUeaXxR<895@z>n@W99~-HwxkV8pFK6P~tH9)K4_DZ+wpW
z--SUX7a_=hs-~URo*ngj6Oy_lzy%L$mN&lTh$5eqOXo1}CCs=D`LL(Gj{TcN-^9phEAB!}NEpRbqmQhO=Hga2qz~3QE5`UkI-9{R*J0t`0j+YYO4AEiN(`
zmpQPLLdpl6s1hawlY$paeC@CLA_?&Ve(d6N6R1e`m4`ArB--8;T2d0S^PG;l^o!0d8KRI
zdBNbl;|d@1&T
z(o1@7ZsTnrebwkb5Yz&|^$A+_;oPdq40%Nru^<^9pk
zFyeqxKV(rEg6UD9s@=X@-Wk_s(6^Y``vU4H1yc*BJysc~AVlr9{K(xZYJVQ5&TO+T
zXDtO^iH}m
zkOWd@8%`61zdW!y(rVS9Q&_i){*178)5|M#V9OlGLpQCQ+^mc9?x*P;n2%cy3j1S&b
z$&(*N#z+-5+7;Wa+w2dM43p3G7e)!j-R;O@!hEsNL-;4WSXdCkES&@Qin`{vO}qJk
zh93v%SjGV)Gu6Ni~;T`HpcA=8bwTueS
z>SbD+l$85z)ORMoscpPuE9t8
zXSSOf-Lb=`71<2q`W{IMjsmw%hgC5a9Ro+z6Tx>qgC86wKxkrBz62THVTdV0!rrZ@
zg#)D>09-Eoq3g_)>`wMftD|WCBSVNby|Dgt@4gZ|>a&>hq*cG&WQNm~k#5t0qQ=4T
z-Qjmp)=Oczy9Jnn1RcN-c5)l)j&n>$zLr2`Ua&^nOEbg5iLZwTRc(B|EDbAL3{f2qwVo^TpRxURX6>Gu(E<2juw13InJ
z#>0954&uBk;)iX_V^Jly0jzn36S1e4)d+frxnxmXZR(IhcB%2m6cjQ?{KEiomeoMz
zsTuO5cM@}naFV|yaPnC_FmXq1B=V3(=@f3!HlCv&5t^}
zn>q7t{&h31%i#0#{5(h~$4wRCJ@Wjmi)Mz)Nd3A@aAdUyjX5O}MTU6u0T&Va)`$iO
zNe@QSWoRjLC<1Dg>DXRJcTY&7dwD~){C2%}9kPOrtmN3dVoeLUu~)+^8|jV_ic{4J
zFYTSCZby3vbE8x?DYzi8z_@$VI})S=l%YaBiI9j;sp5I$wQp`r^^BwI?dlEJSWExo
zyZZb@^xf-cie4PG&VW^%Fz0qQUa~PsM0s6AE%ChGKuh8fR9!6CG1)6p9vlk;u)7F}
zWlN9e&3`8NcTXLo5mJ?h&0iXxa6!H;I$GLLk&T_6=DC(xBJEnuJ#(v}F{_D^dWIZ1
zOEMJGAWlHfFl;>*2Y8KTi?vPChZ)vFkc;w+y+QqF828&vWzWEG>z$EL5Vt?`WCruT
z4oyZiztzAEgO#^|$Plo$Sb^md?Rq@jl?{s}$k4E0kALpc9FV`S7;f89-oe!YkC>RY
z9~2gF)??pEMm$>b6L147;3&fu$RqYb^G7pd%LVplh$t1Izz^1lp?}%U=N??|2kWD$
z<;f~4R|LEmX>F;dXSQJd#?;h-UQ`_7iF1a^ha=Sl|DiLvf^SjQ%>kA-0KZ8CoGM+K?r}
z522RX(e>1qBD2fOSLCmM+PbJFm)AP8VAn=I<^7o{&hZG8R&?gpcZ?Zazz{dnfjs2O
zvZf8wG#K>es-PyqU1uBuM>JLC+&jFjx8ipbG@xLA%C}zwb(`q!E_0+#B_t*-w83GS
zIjngU{xZ%qU%$`0h?C~DP21P6ruI7_`^KeCl1yprRA(HtcYDO%3HilMnYHMsz$p-y
z5EJr4o^3~_M2x>+Wh*Q39#@X4ZWwr0HXzehY-ol`m044P73#+!+9gu`q8=XJfr^8u
zjcWX(cUZF@EXuLjO@!;@51P}~bUAjfr^g|7z+^2W!!!kKER*SC%FEYr%JV-bdo}(e
zQmUTLc~xwb+ly?ze+Azq563-{r?DQW5^tN%rsn)dmmKbix<}E966xiT@f~ijNvK*N
zT37s7?7dgewo~PSr={MTMNmcU&j8rX
z7-?$LI9M47f1+!<4~+ufHpx&J9`MjT^V>VTioNMR?`QO4^Yp@I9RhjRC+Dom=Q5Sg
z@!tycI<$dRSdR@N2n!z`kTVv8I?ezXe8#Bwp&w6P#>bEGc7R;j@&oIYdBpH7l}T*!
z3w}%Iv4zd*1Y}8&g%|hMOP3e=W|^fuMf%NP?eX_{Vsg=m2-6vg28RsB0^!{zy)#k$
z_fmN=b!gi)g!M0J4*g30TxVE}3`ecW2)tT!
z6gS|1_U^UfIxKJ})wO{t`Ho`B@_^3($RNt*7TDpff1%-he&JIH?Iy`k%3}4|Ujy87
zdt&^>G5aMxpT&i^s+*}dt=&<$FY^ph)EICfT
zWd>oK@1BjAn^frPR&brzL&ySP&G9_mxO09I^3ItRcfIq@D(YVkkF8<6GkBlNlY%;>
ze5S~Pbhy()^M(^N5h^
zi1By#zN*XhyB+$mruXCevXd5fe&2M_(JQxoS5tEe3N51GyPc`pQJBLj!t4@PMBl-B
zW=b5Jz>&a{&X6N?uz+yGS~T^7`~WX;$Aa|m*Pz}|R!QQ5m4Pj<;fY6TlJ2vkU{d^zj>034_muNR2Eac26Yvlkho0=i$K#no#D
zF|vuehEY|ehThOlx66LNN$IGtHH@5ev)N7k@=9cLWdr^?-TnI2aF3{a8Cex){&af7
z9_zm+h~>T9=5}n9NA)lp)
zF^X$+#9C>5Sn*A@E^ny)6sI&l1W?(5F>U+QgO$OdaP~`K75nRD-)oR~IYx^ahz-RT
zS5hK?l4oG$=T@rxvLaVhtTTmiKrZb@85|G*CX|i+piC67pJySe8@suyy)>+TNGw0*
zt;1kxsYZP9%sAE#7g&y+ea%nA
z27IMSD@Z?;$xtdw3UOM_xo+j`T3auZsUp%gYkypP5DMHD4nq(D=y5_`5L$6Usm9Qo
zAgGX*kZO4;^&C`|0u%Ez$4m-M@l(d-1+=?bKTO!}XABuCmxkY~ufF*HgH>S`uIyq+
zyecn(biR@e;!*{~Ad1OEV#qZ+&;r9o$SdtNy84u__F?g}v!}
z%JmhOeivqbc;^Alx>*)IDSA?DRuEsC!sV|^xHpa<72ok+Sw*ll
zf$Y^nCs~-=_?=7smu7BHIG8lqRi$0GDw}dISF2OG-5hOB1JGGkM4?(|^N_G})xyMFj7TokL+u7jZQlA-&g!LQZPZEJP9PZpBvgu20NKQ
zXqQOqg_FD7MR!~t*10)}BqWTvIUfDtw6Zl-Frfa({)jVe!5?$#>X}p8DzJb!B<><-
zSI^DbXsv)IvWLP8V%sjCHJ6X?F?gSxZuP)HUHL2R^`$>e1yOg#`j`$ePIY$X&0vm$
z%til}bV2@Yrj3LZIryXNh!2u()zX*vBq9AyuknVGKuXDnraU3|YAu9dD|l5{WAdb_
zT>?s-b;E*NF2TR|DO`=_1`}IHO`o6inP0vfGM=n*fAj6>_rIoR4W{PZt^Qq0lRJ(`
zM*yaZZI|t`Z3DUgZois*z8srGw50F*+ChIi&g&F4_9;^`+*X6pr`%rr#5AzWJgY9x
z)<}zehNUTIS0Rr#P&)xU;vD&wVz5|_#JUaAoBdL>4HvB8(%jb~6vpfCGg@nm0CYC1
z%z+LVe=$HR(qN^V{jI8xvh7l!1*1w0Vd8<~)T933xDeJvRKzDynHe&=k_kgOmRJCW
z^h@VPG6H7+(qqFaY^;ic2sb7}Mv<2udqqJiR8KfG9FDp&9&hQRTT?L5uQjH9C3#
zn8Zh_3Ucb``>x-aywS{eH!OBa^>85Q@fnIB;#`05?`q-8NdPcAu4ebs)nfAF
zb3vv)92kaMR;erLKe+8&tMrZcEMq`)Y1_e|gUlB@4wac?n*5iqh?2rW0N*Nv0`CJ6
z8g@Xc@&Q`>^%9T5q)@k_&KN~yrEJbr#p1y!Y?`+@OijfcIk=ss;nas*R)ok{fq)}c
zjPtIC?Ik#GQC2am+Ux8ZDYMvK^Bpj~K?HB6v=~sf7S*?G4jAtbr8mz)~PFcrdw-Dtm))!eCX7
z-!@3fBoRr{Y9RBu)eX9@jiX}y7kOhy{eB6sBgGETTbSkpF1<-*6X=E2^&fp!=b3M}
z)(0PGTy%@dzxF>v=l;+1AI0&{W@a}t+c4K=n7QAD&^B|w-%6rJL~bDoskWK>CAT6;
zBe$eNNK$Psg(TNfR3k}JA@%L<>mS%pdu-=@&g=Dj;yOrfsBKuee3Y!{oB7ro`)BB-
zdB^>03o_s=0=J722j4qaLpa8#;|pgy-@Eo>u<()uXP;--K$%-}r}W!{?Xl|>gY8dU
zSDpSmPd6F~Ldh=+4&DZU{Rtzdwy@Qnc>6=?X3Ok^D`po>qa?))$`kJ!To~2aj+5BT
zIhvoXeIDOu(nC;E9e2q4d`viBQ!VWsZpHc62H!7?Utq&T!G@
zffN@JwV;PjqdYV9^6HgqTMe8Y(y}o}NERMlbdS%R+gNjyzwXA3q=`jgw)UN&nYnE4
zQ=9pU=3&ycUlr-J|3po**sxvU+e^?m`oYQtT$=+oLRu3$xq#I@jv08Gqbw$OwCf?w
z&9PFOZfL`;4&2)U{$w~=;(hv2Y-yeLsvGw@r#v&rmVcw#`DcyjHSP-o^N%i#QKd_M
zX1hH%DNH&IwM&5uPhH!BkRs<%7A?IJNDGl&-g$Wa78)X0e{WTJP;P4H@bt|@ICkY$
zw$eRygWZFircsgCPraVKU?141Ae@gP0q~$@>
zdiQy}yHFi%O5HgNsjc3l9*R2{^icgJZ=y4Q>9xiM0?-cwj@iz`T*i6{K%9nhc7toH
zNMiqkl8#I@OIL`WSyJMHi1Lpo>W-Nv?MJ{?jiG;3<;4ICs5gcl+D#kP%0&hx$wM$F%@YN=5-<$;b{{WKt*92XWe7t`&R$b%UvNzi*c
zFaNnfzM^C4wAHCpoSXJZuPX~`jwsGk`ZMs#8wSyd*M2MaUh9*$xlO%z7UagC8d<`%
zH0fSq8Am}%BUak+6q&=N<$=3GzcP?M+dnAC04ub}cW1i}!b4~7ufnptsZ+pm#XhTX
zy?w^cil>67|0t>U5l|KY5pBVsiC5s#QPLoQSrOz`%b>$7)^iJ5@P
z)&tHz+t6)jQ6|lz8Sk
zlM^I5DGFveUgi~p{2|EB3K9sBg_;h+YY)6=WshEf91QmnUvbdYlpYcP~J_vOKu$5b@mvzw&|qrYw*;5eE@q
zfB?d^Q^{*1Z_L?*aL@{M*7vpOzSGZAR{PCOm4MW@d%T=4=WiVfVTFcf^!pVoIhMcs
z;kYlqm8KvRh=+{*2%4R#JByB@DlH4tc)g45-o7;Po7cHLAikF|_%tA{3%DwdRB2*vT$2;{C-!MEH0Al=7uy%A!SvoO}`>
znZ!Z}8)c_x`ZIL-{zZoNz%_?{rm$>>P;lV$){veV4cQJr4B1f?+~;`asc?kR2uEj`
zO#$pp@C-7**-;7tc>elSuzDf-1F^g(%P+8}uH;f}PKIjk!>sW0*%qVWa*ZHdDIZGY
zL$!edESum9)*2LSyKiKA*h(S2r&D@kquA2nAjvGM-!j~2kP}rzLn?$S6lVP1tYYw0
zY2n*D0FGKehdjg9GIMBM?JXOn$xjK?0gg7a_r>^-f_^6Lv!q1U`6C&jmC$P+d4m-C
zNO*`q;?MROlP#4+lNy27;vsJvaR3!;5YkH^3hK6ub1!BK@Ks&4gM-m$8M9F@nV
zDU7fnRG)$zme{sKAc@t#ha%q}26OCJA<`5Q{BWC8i8+=SfurESCAU+Rj6Wb(eLO#;
z=PPrrfcZ$4mXS0>2a=^n#OhapiAk*8-?C*{TDl><|6WnOAfmF}o)pdI$+jHdz;iSv
zNIo3&d6OUbiXUjgW=nBLitN+@s?I7$i6M|10lgd*$P;R-@Z5owslGOLaTe6U@`|dV
zDBwbSXZh^@YA!tc`b@VbKm_3wLYuL@<&9#%9^!dGgq1c6u?A7fVAlLVw0RQt&HM^#U(?fJsz0
zs_3KBIXZt}dWa()FbwDwVvtS{;P@XFt-rXpHzxV%UK?z5=~23Rbt=5a{$V|G_}vF-
zJW`ugA=mOExgHb+2DF$0S=Q%>_A17r?&9Wlue(<*!0QbfC#<(){h{F~G{O(}4B}vn
zx!$Hyi%Y=!&GVF`%J&yt8N}!**%n%sONm9DK+Zv+f=4!v&nJ^;XYu{y7Et%P1W|FG
zu^D#8@QPCV8u`VwnTkTaKcE$V0qxHc!;cFpgFBE~Ogn~5FQ{v>L1S^)Q^Q;84vZCr
z8CoWYuP~KAcd6kw=#d^l#E4+ykwDv!W>_V%mByfy&6pk4XFn&tz!M(HHnWxTzy^7A
za(HG}9__bl1yEA|IJ{0m1&@g=Swb|}ZO^?uLNb>V>%gcV^`I4A`*|R}00eYbmfv@v
z5#~bI9U*r$Iiw^oe4Hb{#uCFgeFTH$P&Zl?KmquyEg!YV4hNNPjTU};;mllm+!%!I
z(J&$p@Qg#QqiU7oYUgldbE)BUC@l08-Th58n0Mz$poH;TRkGod{pQ0D<8
ztyUnJRyhN@A@0ZsyfAr}xbZUH0Okzo&hnJeAJtne-_eLOJpUQh;XK+%^U*0b-ktDL
z$GcWP)>fvYcwodCua(VTc3{RNbBs0f1M$ls1BGnVbGq@e1N#1B%m3OxzLQso0^f14
zF#xVong`^zc{!(Yf1>;2+J|pfvWaF*YCU{cd6NT=`x{elUDY=s)h_}{Z{?Z=A3(sx
zrRX=EUrX^D2PKUh#@>z&2=pS-416fST!x!#GlH;1lNnU_&VjsTuy0%C?!gNg-f++N
z$9q42d;H`0p)qvYDlP)xpI-)9y7pVTGjyURvOrXK2w(xzYbIJIJWul4Xj7m66QcE$>hv_f0UW5=oD
zy~wFYIH~@S$zh-VcDeQmX?;yaW5IS40q3CwHu<EI>RmZ0hf1!}P7!Hs^=yeOKD2#{)fHd{tO`a}*gA77s#Eq}gcDRjt~{g{xy%p$
zL6x0hYbV^n_0i;eKxzFAv2ASh2p@@}kD8u6z&a3jP>^8k!ySv#XDJ(*Ztfud63tK@-hwpZ7WCQ-bK?b58F7^R(5bq$vnf#UZ
zDkUc+Co(tlNF5uhzeSZ`(lc8pajjo7GPz1~B!{V9ioS2)x(Z+YWSiD5#dZMKGj?dQ
zfKXee)LD#XKya4Mqp90}kT9L7;yrV-6BTz`7P{MkkL7vL<`Bq|UK)BLcFJw-rzEfjie2=}5b0eStG3v$_UL9}_ZcVqv)Rcv
zK3}~2$L`&TPGzsgvflbwuR~wz1FgIKlUBQPR^_=g$VEt}RQeA!4tM|Z=#X9T(^rAK
zQw8c)ua4PGo)x?Bc&yw$`g9{GV3jkyD_!`}Megq>_y9tYvdjDLwAvVZ2O&sKsNhJ*
zVmC@*M+ASvw>XqJzBput;0Koe**mf_99KI$_xzMhO3&5G(@89kb6nlCA;>3-K5$s@-BbX80NphffhBla=R_iv
zCOhb^JZFrAZzg_Fcsuj_H1w^$q`SEzx@K1sWw5v42wi*C(TJh-rlH@>Wzz68M{$s?
z;4Vhp-UVzgP35gB3gd$Nhc6ffDkaLA6$RVo;%|k3JksCVp2b~8t^OzqaV$~SlXmp#
z7jr7p3wl^;UUJy=;!bC2&+L-0r}@6AzkEda)sKuKGQinb*$1bj}X?IA1@^ai5wPQF!m}1W)?C=l?;Q+8IB@CXPI_m
zqli>P!=+#zP1)UNpK5&Q<1&M=XHgrD@1IvO4*6rwtkYqN-+|mmy)lM`Z~NK*UUE0Jivn*ffkgU}mdni>dCXIawAV
zw)NzMf||peW9Yh_qZpgK7tr1iqRqpWEI7~~TcelbZ>ECi=2LGp6!agcHKAdp
zki0r>Ut!@4ZcttPI&NL1+IyD#$swW-frKV(V~`m$ylgAHd8{d;tI}0c@+U?l`)|f<
z?M{HhK14$5$e{o~Xatx=wWPO@$SGqYEUWJd4ri6xes4eZN!KLRHimx}sgh3kOpV(s
zPiHr%=NNkpRp>s^&NJhjOl#j+?jeBFyB8;X=-3*c$x
z8TA6Z=iTkMj`3WW-u*aRO|YmIU@XUdYJJ;mAuDU+WT}^ObTNJ+`pze5^-C@Hu6j9N
z%h#Axn|8`^e5>H~k#b`MF`i+d09s$-6?%c`F0dZ&fd&^po;c9ulS<
z`Vd-EUBNZp=M@J_yoD}>BvlCgocm5E2vJ<*Zt!OG7?2j)?<}E7f8eIl&@Gpqbz>RvzmA;c(B-&vzTn`z6Bfv2WaiTRx!e
z-)Wv{iNEss72q+RZ-uE=cyl#I2okbiv#y|XW>_lu*G`3A*-P@-9wwgaD=&&!YeJb(
z!06{+I3O>`7PotM(6DwEP}mhiSH9OuzSn0P@blf*Dp_*ui7o5bNlVFpzV(xrp3zY{
z?d82MhW;zBeC)na7+S)v4Hp6Yp6>9gU}w6roC59q`~vo9#D{^bZIo
zCO0}LLpfqTf51{WPjBgNkK2Qco8+BNN-l+ai|%=zO;b=U{^}A>1F~YtnUNA61)Ery
zQhlJ#)X2@orE1gmAQX#dbD5v1#t7h`ll6&!siZ>vk02%xo^ec}*uABpvm%BHkpW*<
z{4U2|Q1#YHn0K9FNFvP{;z5OJN|hZAL)XP6ztwEnAaf39vAJqC0EN_Yp7J2j7NqP(
zl-HsDB7=VRt|d3@QJk!nFfAf;P%*zZ3_&@
zZmEvxneZ4Sfmuc`Yqz=XJjZ&m9l3*<-20pFceD4=alhIEFL*l3_w%6NOlT4%vy+B9
zemQ729z7LNez>_ecqqI49aC|*;=}#17Obr#5Y#H7t8ZEaphN0JXwEWjOI@yDmIlD0
zuZ8rh1b~O~w>Cex|M%i)i5aw!?^Stt>)9BDN=>-%IH4EXUkJS}8A@WdOJ$6Z$}(YO
z@qK1}+aFQkiCM!vZJN;lhnwD&bT?)S3;gfLdQV~05K*6)g*g?^FAp~~=npm2e9zK-
zg0kP0Y*=TrwgdqDCmp+(L*+u%u`AAnJ&>bz!&m=YCap&O`{mzSS0poMtmT{Lwr&=k1ALd5I9Y
ziEx2VO29zg_=5C3*#3u5a6>rP6%VxZ$(fPU1EbrKiGN+JjwSC$6?jaiC4Rf6d@e)U
zX|Zv0yg*fK0=0LGAtLP?C92zHP7z`1Nq@T}Sq=gM%&E
zktf~#j$WKKt5Cy6K2g~{RlReP@=(q672>e|A;0rueT0X+bQ!`)lHa18amdIun&esk
z408gZnV6y7GHp9;di=IzRcv~RY!c4=Lf~qA`gZ=@+CjhnGq85wxeF{4b9g{uNxz%j
z3<7lcZ>Y=qM{^i`G6(lB+z?)K+wB#yupj)fljeD{wlp1zSvdYa09m7tW^dSVsYg4tL+CLk{O_7HS9%oi6R$kg(_}oD^4)PUJa6t@
z{g((zL&<-CzvRBm&}Ypc+n)`bU}Iu<+ptn3QASrVF;#G&p5^PMj~c+lCB^73*J^YgC0Wm7IrF%QQI+O!
zBzo-A3>p+jvdN*zjfQ2f79R6yl4=K!rsy2vaR6EnJ{%-taU+s7FThC3=*}n3HH*82
zpmf%;K}(bjI+C6t4UQvb%_o`#5w{(H+90=#Cn|)<-KidA?ay}#V5c*Jy)|ne*6`7W
zf+zkw5?|tv{&gwXd?LVnYl_B2T=}g(FUng=jkiHJL2=avay#naTiSvzzuY9~!ebWE
z#7@3cGldlqRQDqU;h>A|r=GH`6Ng@ra$XS6xj{Prl<99PZMpFK`%Tg_4{1uZl%@y#
zS~#W>0963!W~wU%jF@A{NyRIhq$PFp#GxSE5)XTw2{qkr{0jjB0NMcZV&-KHq0$-R
zS`M1krM>jSF!BflsIMn2V*msj4-L+Z737?cCFanib?32^>gRtX|I`ab_1knui^RcW
z8UR}i+P6k%)3}6H&)~EsG0}!Ji9)9M1XFxe2nkMPrpaMILYvlOOpXdrzO=#2(T5&_&Xcyn0Olg!w{80ww1zwOZmG)9K$ncjg4
zA_h!zOBFrPPrdu^EN+NV+OOKH@GSqrlK1Eu1T7Ws-KL)
zc*l`i7WbhtA~QrRtVsOR%F@B>q%I;F-9oA1|J*imYm(c~yGxK)@5WS%<jwD(#
z(GfwDC?oT~Uw5A)1uihrl@b~pyHlErIBn&2nEpgl7HN);qh!Vx+h_zV0P7xCMj2H(
zhtN_^r!q*08Wwz!xx*-SeA}q@35c0TF>``1|gx!xcYiA3dvcMF3wRwH*TtFf%lMm32r5%3YO^g%|^4@
z$ipoRuOV#^^FPCC+oN^G#0BLvCelw=Yb3t2CEtEM;h%-O^maErBpOAkuKY2M^Jj|J
zFsVd9w3!9d*AJFiBy414I7<6U8>h~kDkVATEqM{rW6KN33S2oA<7TIO0@EQ+rxXp(u?{h3oP~{8{Mxk#&6LcWCgfEKciv
zCzKr%VaFzz0`SClW=D@7RF@d&gj!r++>a5+a=+m#0muS#uiYUE{hUc|mQQ0ECh3-#
zCG+88u7oHYAYD`KW+Dee_NLBJhCUi9~rHLQrw?h}OmPS!cxfrKK7}ZC^XGCn8
z7jz=bW>$510kF#?p(liZ&I0}i81J(u`V~{eM<|-YMEFx7i~YX5n|s@UY9E&8)>R&)
z95|%2;KojjJ@r&3g)KeDggT{(Ph|$GgK;qcU>(F%irTIlzJsyF4lu=UNb7vP(PX^x
zcWfMg4ZE`?fi#sEdWRAE&h*Y^s7O0d-HwNkGQ~3%#78>e53}H26JhZGPV|jNeLG7^
zVf(T9Ok$W!Dvc4t6j=o%hTqQ(XD3z$xk?~TfQX+c5gF(8EO&!X=yWWB>ycXY2PJ-h!?~w0TshX
z-SCy>%r6tG(N$Dp3ktMu6MH79(B6gECLmQ-i$cIo*OtL1s@V>G$`5&PR0w{VxIK>R
z-Zmz*D-(d~6YW#Pi%4Kl!~ZJc@hT_JB`Ml>uhUV`8(lhLlZhCS1iJVVrZn6$KU{$u
zvRo)u&Jru%K6yxNzzPH#)wbG_ZmO8qI(D-}^i)HIyP-x*78>J1YbQlnc56gbXEJE`W_GcINq6z)r)L82+Eg*3+NG-0J+4;c}LQ
zW-x|JK^K5eOsfTY-4w3?UXPsXwtjhKcSY5qfk<__%BFjD&)2}aEOhCGZR9ov6)vGm
z+t>6}gS=)t%|jAa%-gO!ORz<4)oU&lbl;3~7N5{>F9+zaU
z4D*a^{DcYGDUf*0Lv}LPVu<@Lgm||UAK2adWWsM>s+Shi+>I+jatlF(Uw}{5bhP)`
z#*6A0a&G?p)wz}JSOJV+3R^999!eHMId?>#HMgE^ew3<=iwMUoZ-eTYA||F0C@7Ff
zbJqs%*>IES%p!HihCWXWM#o_+gD_6#Nxl3BWU$kJx2@m8Z@=1gbA^fK9IAO*TvMR=
zWmqD2KnQ}(!)X@R#Cq}1!o)X;nC@7l(@|pVNZZi}qUkQ>l7&u;%%P&fGHZ*~owLWqsG4GgWqOu}}bW_6RnZ^-%>I&twO5rLR9
zA$I3d7ItzTxhE0#?T;i{vz2TGr9T#X%YDy~NopXrxFPppIT1~_8|VmlUqCV|yh;QM
zuwb@M;`Vob4jW-^TWxt=Cx|%D+i5BV6!38q9y+G9LHIHjknC7$o*bki`k8s;n!K!r
z`um3y?(_D(MwllhK34oYO=$|^>Q&c7e6Qi(@~}Z+1=40T^pyQo4KN-oFcEovhPz%X
z$PT{$B`TyE;}b$0N!ssRK9yb{CiQDPF7PH|_5l&BahQTqdaT!*KL#=1$!%iDUO(
zor%a0p31Oz>O^~AvqwL&__)-a45<~Wn?C~Y4>D~Bo|8!g#=LlXhWFGF1UN`yVnsS}
ze3BfDnAt?xeMK#@zCcLEr*5f`+A@4o3L>s@bk|1h)p
z$j$Pr(ZzF^WujW(+}EOm$#$PmP1IB^h3kRNNV{8MCy$bhX(}1+W-~%0R3Ouz%QD4J
z{z69?>TKi>_*I>;y3I5PqdB$2<>KA{{?_lGETwDFdzVJgF`6rvgSKx2a28u+zF#gJ
zMQt`Z0>iF~0(ii`EJr*+v`DA{q;+DZypGiLv8(VP593BrnpFaH!)(i_aQK3zuieX@
zY@>$JOO_{p{ec@dj#V>q<*agyuTIptT(q!lI!vj{x&lSW%|tX^GD-!238S&I6yO1?
zv-CKEr0oaTb@++M*jG@LKq0DrSeCl`Aycy`Gmo5dwkM1O|7zU2Fpwv|>om%|ZE>jd
z@=ve_lCQ)#8Rb+98O8xF<+_2rwdziI_9YOeO+y^O^MRK31lyrOQ!2}Ixq+N`!E#&0bc3~2>9@};agLBmY%HBL%l?xBY
zi76x1*<`qQ0@vok`1nDYeU*=bb9L{-4&@nQkK6f#@gbACpMGu}FuM_MI_9Iou7~M1
z&KD06|K>{$QZKz27tsivuO0G>0mdfO%P=7o@*zN>nBrxi#ZfT?EX>iG&-y;X*k7Ow
z#l@D#dF!+T`k7*yNmN@oFJMiSu&>!n#m!d1KfESKcR2it$|cE1)QHM)C}4>yeGz)!
z?AANA(k_yuGTjb>P^sB;(#3T?`v-?4yEBm)umrIz+|x;dP>fTOdi6lHHihLH(S@D@#?mG2JEN2q*#Q
zLb3=&=*7n==xnc%Nc1`Xh$AT>^lVbL!+g_WZWkNwmfj+;#XF$z84A&o#=bbenb*5K+cKn~F7{XgH1}YDDIE}@`VYaWF0~6!D;x2qfTg@v;V@mbP=aFMit+%EIWP^z0
z47?|(CD---4?0XE9RNm@cq2P^sFfzgXDeQCi5?=j8s8C9zQmS#T-t^qh!X5CHUR4VDA#SBj*(12^RH?cDlXSp_JE3?<^J7XbRrQ?T##TF`gvH0Q%Tl}$C
z#)j@n+?oWP>y-;m&LSXh6J;(cert&6|2!;PX*U37$=|$Zhu8FQW>IWF1JdIzPg;J#y<7k;oPp||6ZTjnpxX1KV|oG=aKc_
zRPV*9I2}c;8Ufz&|Ms71oG58?{QlJNCTR
z;Th(=B!ukFdqHqZOxNG)LUK(UeXwq@M`pvG>M6S_-Toz{e?~>`N)Y7j5W|Wq-Eq%s
zjSxutlX6-KZ?SwnWW{dY!NNs3%`IsGR~_!C4nqR*zaO{TO+a{Nk;I*J7X_}g7{4E6
z9^E+3wlII>HynRnA1gzfqH@irFhE({!;`(Ro7MO9)mz5q?eel9Iz2gMfeIxQ>!3U?
zp^xM}*e6}zlCBfdR-7-=FD140o5Z%p)@Fhuk7tuY)7OxJ2|BnMM36MBJk
zH3u4E2ZSnr1U|+>Z0<_mbwTcaYh=Hranj0yvE5>uV$0xq*qehP8e>umMz6;RZ6SJ=<}UUg!b{
zlmh_PP=Cvm`^&|&l-#DU-N=``W*Vw6>1ik+LH5(R?>sO5IIJC#El!(&0$O=40c+hQq$VtQ8`p>kYkBJ@7A#ijr%Djn@^n*J
z^5tss4cixWZYJ-Lx~X3|E-MnGr{p*O>Lw73uAE``g}#$78DrzXMWRzH9ZGKyW`*DU
zD*~Q_1H4wDzy!r^Z_I*I&y+OKr+r~4#;e{xeLy0elD0#7BuC>FmlKUzO?J;)@Jrkf
z+imhn4JNsNzkVO~*cce+puz-iL;O(Q7Q&
z>mkvZj%?!P##g%Gt+}2k5++4R!}Ss~bjR%cZC?!;e$aj&@X;cEdo5lTv*DN7Psh!P
zQuQl>Q2X#FiRCkZa#Q?ED)#4f+tZQkWaB-1FeiuuFgryd)2s-@V_eA^Lpp$AuqZ$x
zd4@%f5(IwEI8HP{ahqo*&o^xXmzR~ZX3Jr$t1flAdp`;0sa+qrTB&xI{`BTdP-8C{
zV*wS!Lu0>cxQ+HW?$SC$@cdQ|;C<3+`tx=6n_IaWl`kY9KhupXTC)xA|C|#^7WD8Q
ziZciIIM0BnTFm)ujXzW|3j!>DNk7vdi3*lu(v=3b()U%g3w>#UUDG$K8fhJ^yf9)f
z%AZu*wD%NovSqL}7Td`@Xt$X4{Zq}G;m5mgNVv(R+kAos2LJ&e1kj>HOKHKCi8DyS
z=LYfGVyq)3wfdY^`Y#2qOXe7BYj1g&cH+>9=E&1uOYV#h$!U5PaPqK+p2C&=Vxk%)
z7ZXf-@~W@?O^lrFw*k5Y;yz!EIeA$`SBn81`U=LT#Ztn;T$IFo?qO;caEEk@K5rc^
zn)Kn*dewZ-x0@1GjX*HoaW=h)X;P?T@RrQlD}vKRzA1@{>dh>;chvnOhThH>F^C?F
zIX#|N*?*Sk)72|`pDM=nNHGl(d;bvXS-2&deFgGF#r^CgE{mFyD3IP>0HL!^$z-wZ
z1&Y&bl^}hwR2JkI3v!4jx-jJju#m@0_IB8ceJ4kO>@npYQncfU$-~iW_89LLkg>N$
z|G6{h^-y%2y3C%Fd?~!@40JaW;?)9iUUN6~6m|C??KL#vW*P%)(600B{e$UNo@V=a
zqoh*?KHG(78Z`O{eVl|3EL(l5hu%sgp<9^OZp
zwoG2Y0w*JiC^mvYC9T0NIa`^>Oklkn9~UT)frVH?VFF+{nqt)7R7qG5pEPO!#okayS`RJ;`m=yL#}fAwI&
zr)A8&XVCM5ifO@Sdt2OF>qP54T#gMGWB4L{rS92}FuOdU>0{AtZ5-9{{Yw~!Xg|*e
zmcl*&Lc>T!oj-HO-VGv<#z~9!1Nf6gvRoNC?ikc%EuFn^V#63aas@I{65#r-z#y3&
zM4*&4k^*^l87hQ}W3ZPz_%?RSst}I%MON{|VD#$W)T2*o04@X9xhRwbsZzV
zy0+(-ZRx4OEsqYO)}XpHTA&r%h|^Zhw_w9VczXH{aEzmwNDv!6?qdwffT@?9FfTzX
z8~OqnC0OWg7UVJ?uIhDCNnbRj&{Kt394M+M5@&90kHl1~T^1tvEaY7w>gYSvjacO9
z7&25UFLXeqL6nxlKP+O9nO;|c_1s?p4){nznJxQu?1bicXkxO|xmQS5>+bs5We@Ho
z8()Erygg$w0AcV%G}i!4K
z9aag?Ij-^*%4~rg2|3H~0L!-kM4`?Xu-`!svn}<4Pox+XPf?aV=DN^4aot?;%CXRr
zZ660}06?jb5Ef-*<#+I+517a}8Hi+Y3u|xTL+9_n-r!i3{zKFCCq{I~QW9^H-Vw8d_<4B2_G=&5YNZ+5AKe3^e
z&?2S~CYDqfc*8&{hXuR20skiogzc2P4oH3($1>zD3%+?yEET2gt;JT0+Ia--=7Dz#
zkH|AclNNEtL3I~Xj@#dY6sYUfCuMsawzl?EOy!>rwnaw9shc**{F>N`uw;Qh_cB;-
zF-$>x2M&3+K_(*9p$wpI=e^5gE#}lOMyBAh)I|eX#3O|eKOWWEz};u~>U0D?(+dKu
zxsf4yeRoVvIVyhrIBZ(F?-BK~N7C2)k%7k0ojg&QkZeF-Z(Se@VT0qST#@y(PA{>f
zSP{8RusqX2))>~NA!pkJivgf^yc76#cRxP#U{d`~8g44$x{N%2=9e9LllH6KeH;O3
z#hWGeJBm)@X4wVr!;{NB_Y;l8>M2d;S-EJ*v+=yPSyS>sJL)!h^<{B6Q?Gk9GIf6>-S5CjKt@swR&se<&YlfMhD&wY~eikkfSW)=f{y%EXe7G>QiB5
zXk}IX5Z|A^UiqXMFD$U4w_?^UgoW!5!
zdpgwF?UeLUY=FV9>_b;8@8d%qVj;gn4l#LU_8!jxt{DKS;3O=~dYx&}ZZ?Y=X0iXh5gv_@I5ZbA0AA7*Q
zxa;z5H}B$G
z#B)GBXl1Q_AmB`!I@%*EV_KBHpiZ;Buo`f_4}-
z*X@?qE>itNJcE|5;{D`GwYfLNon^JF`Fep1KC$xA>azbrMdT-v=)Sc_q0JbPb)-IR
zkTuc&eMT3Z*`?n*=(sKGupC-PZs82^9+#xr?mF6|fAgn{M7vJnVm(N^D<6wL?oGKp
zC{k@EQa!9viZAZLA6*o&9viOm9dY+@h2wQM1b7p;XFnGk$e$6kKO@ZRF8i
zvh|z`#vPH&nWjiR9-Pe?aiMj&D36I)brnSoG>;6sgN9TWJ9bM>tYl>y8P*v~j-%Jd
zpEr%#dP1I5UMF0q(5RCDFlIkK{^G0K$<*VdPTcvP!KT9{YBGD#ED^>
z`AH|qY2Fk30ar|u!tA^1nH#SNqn22MON1b+k{zkI)3GOr5ie}xX4zKw@u-ozfurdg
zv;4n=yeDP=b1pA#Y~1SJlHsf+OF6!|_~SB>))!9W<6;N!djoWx72hm-jc3OVthr82>&(oHTR*vX
z^FkTk^HSgYRm_)Wyo(iP->X*=G1K_ZiWl#_)}cSY;yTN2#g~5?&$%)TdHqt?bg$Q#O>%KEe0osS(R3VJ`v9K}K1*O!Y|oCTkJyKi2!wwKtk
zVPLqC`1*6@f9mH#pC*wJx;+~va~mpEJTE>JY%twv6u47w6EXbN&>izcc#yVx)A>x9
z<(m(WjzgB8Y_czY-G|zG_p6)f!T;jz{!K>l4Q=Eb;p4YWt5vxFY|w*l-!pi%GiBbz
z7<>MFxL#Mp(~17S8-+F>O5O0L55C2pZACrCZ^t1xXO&L5(|?CpohkkidK#DY03Sd-
zlHL0wj~&apOgVIUV2w1F8~2|z?cFi%1k}1t7}NUr0N#ra`R{f7zw|z#f|6OY&~^RG
z=`Z-5@QhvFuP$xjnm(=nc-8#{^@k|;n-+8rgK}Tc{jHh*$ENysyF}33d~(-W+{)`e
z4=tbNoc^0-)7tDh-FFtJnX0$rEbg8=e&YHD&0u9zujI}3>vgX`H3v@DAAC|V($VyV
z^v~^I)sFS)oBxnv+u6x2l&V?Fuz(Fl>W0jW&D&&2B9)r429Nu5L~c?;jMlOkg~}jH
zi=T@^91p5NTKwt3Jf92J
z+Qasr4(-b&gQ%CBuxfyr#60B)Lh^%qncX#taf;OYr{^6XkJjyf{yDHG`5Tz%U%cF_
zYMY99Jya_6s+avj5A{1|@T3VYezbpL?KxlhL%hY9_GdL8qvSNmUX9+|r8d(#-q
z&yfP020N7~`?Dq6EbGil+kSsL+I{eTKVG->#8J+pbemU%&Y-QRUPaHV~3
zE}j(f`^4J(fXLFwR++wlPyYh8g+0GM`bbY@H>0ws=B<`<3s3A=5@5X`g5^n-IJAJxjaPsbGqXFIz7|<6JA6H#mGo>;3l_2Lt
zQ@Ojj;jEz59@nV-(I4S*Vbf+pnbN4$q?TF8X(L@eTCcO22s
zUCYoTi+QbC*-VHTbiH7>>f&}jk@JyCGm$5H1O-j1n+gw2!(Cz1l@*f~(cTMnBro<Z`ui<8GN6WoOeD&trr3yqqty={=@;5Ak^-
zU<_P|Y5(gj
z)5Yho98j@j_c=LW&gT|43m<&QOTQO#)dv%m|30c=dx+hYWV7Af*e@4SzICHkqaXB1
zlkDWvyfwsnYRcsJW$@AWS^ayo9i_kc%**`^PQz*Nl9=p@@pv6>MD%b)wDxN
z5l)HzwC>jPi{x(YeL3(+c2-HwEO{rqB)?psTsD3Y{f!A%VlfKA#XHjce-19b@JL;{
z8sav^QNJ(M=+_XD)s3-N|K39>^r#t@@uBzB&Vc9{;x#Pjnn*
z=$3b5rkvU??3;G3*I$v#=|ZoboJc@j7`8#6jlzmkvyN}5g&B9
zJR*G?D;kKb(Mn%z$SQU%!n<1bslKEgDlXlNUL-wIfF<~ap@2Wc25q$!#lY^Xk^Tu+
zp8T2hcr1IbVkYm@CRh1xPRg|2z7qB0n{Rihn>1uG;QnL%jt^Q=_5`gL>Jk+9kGD7B
z@~s=K4;)&lhT=Uh_}o;kV?-W&0i9(3L7d?fJ@$O}Y;X+JsXJB?>5oaP0)4W@|Bfg4
ze5K<%e)-y8_*Oa&BRSvsmUV4@SN?uu8Pz(M+SJj!EO$5wVOEYmm^8gQ@w!Q7Yt(SD
z^CFVSt@X7djKb<}qe84yf+0qfQf2W}Ote+`?8|2{w~tpVMu_YRl+$>oOA*%!ob_s6
z5^X;Gz=2FF=jyH6orwN0;5<3=v1R}HV|$d-ibCPRkawDe%4Ko$N#zX(fHTtFoZ=71
z&C}%?Vq~J`thDP_cVQMaWwL=T7mU@Q+Ad$zvbuPjX6XC-`s&@BfuFQN3{1
z7X_T>f@@CyTj`+D+}IbW@Oi0%sSJ<|MbP+vp0{v__o@8sok5H
zarX+{b^Gtg?#8-Y*k8%U8N_#3RQJd?J5_9)um7sVU9P&wPpyl4#iKrA*G8C`jHi8PfYM%s>Wlw%4em4XYAPq6r?oP7@{#8l`VNqr9&d(4*AGVV1s8s
zG{QfQUNJPP#cO5lgV;-u{~&VZd}bn#*`>G1Usxt9zu5=)s(W0!zGJd~iS^KgO(mf@
z<>qE=b4?gI&l=22Da^B%ZfGKn
z!;gxm_a=f4Kd?k5*d`V-eDjl0zUi`Qn6OWWUPsc=XHVx*5A2bT{7YO|@
z-)30aK(l|2uuDheJ!LO-ND%95lxJ&D_((y)s>B6OQZUE{TAa)ZO#fIkM_FYCPGp4CM1`2$ZIlRy8jfX5N37{SW&_s&rg-zqz6MyZH2*1s
zic|ff8TK;o*_Gv)l$}R)>d#P8`_{lFz7o$m2gT`Bv)Cv3B}&T9&smMX;!TRSpk4>x
z8X1(i!dRf*$VMpSrsgb+?HuxKeWp2v(*9VgCj%vd
zJ$hOZLp$@Tb`SvXaAcowBGFa4uH8Fs4+N63^hq!*e*HSRLryYKp3gyS
zv*%m=^(6b!S#c!Pi+(kZye#bfIMjGzoc}6S+m5KRr{HO+?^z%K(n$0;f9g%X_mPNs`P{{fF
zs`tVj5HZ+{OuF5XQy~9}geQN2x2k~3;k2!H*94RJZ?`wXUGX#;9_E28uo-@^
z?PdC=j3oPKj+U;Ztbf2I_9;_z~o&k0oOkx0ogZ#-Qbsn3)Vw
zq>C?tQh^x<-2t7*lTJj-JGxXNPo9I89=maWGL0_#N&5m17}ZGeV`jZGQojX};S$Gd
zT+7CVEnR($;*ZJs;8#WDdl0!u&8(-4mY|gJFpI#)j}Pm?82V#z-g%=MRL!K6ky>BP
z{-bO0uCELzLhmG2biff#~`+GmsjxiKEO|z@rj5`{%K3$SJF6)ulIMofVKG
zCmNo_
zO-+er%SqX|$u{(!9zp?Io^D5&)IJUSdu4KuE{~`nt44;h=e@2lMu)vT=~LGvM7_Qq
zJRFZ(Q3o9tWuIl}fP{2`{2oV%aa!4-E^qoEs1gyZ(OZ<^61=+>?>2=)%#`Q
zQ<#Uilh3zWGY?jKIz5`AD(mHaxa}M%O!C#K`qSqBCwsu
zVb%9o(dt*guSQ^vk+NDO@4|fI_F)|B?6@){fSYe#nLF{+Lu@pubA=f*WzDg&#QB`I
zU(zli{xO6>549;bTyx9tEBt%;zbDV@gy|O&nR~nQVbG+n@3Z+SRcRDQN$JziQ~o22$p%MX
zu@J-G9MZ<3IUB`tiJYi==KiC|t0Rt*`-v|-AKy!D_dYiM9B1LD%8}z=cz=;iD8_8X
zWyyg%Hvs(NMwjD2LCqR>)yrhqMl}H>gL7}x_8*7M^46Rn487pE_)_(|)BTzkPfwgu
zGjJ06b9}satrWDpk-m|2_4aEw6`psOXWT2l{1IIJPR4AOirNKY;jv7a;ql<(tfmtr?bq%Z9UCz)G12v(Cr$VhShT7zZ+SZ2Jb%)wZB87-#`xkGP
zG(w&Jy=mrw5+uX8C{UXesx>Cey}SI#_IJb;w*ml9f2w=;TenoIWg9etlxdqn4Fa;F
zku*1_FyD*%_+qS|IxT^fMew4=%w{G5S(ez-m3&!Yd{ir97QqH;WCB2J
zU=e<95fR@;O+MPm55mckn=u*d4p-k20Ftc@^rSj1uO%XDB>aLP)PxaM^e&?a9$C7~
zb8>mp8u!-L>q8dHrz_n`^l;({xh;|cgl1`kS1LSpa3b>)K#l5A6lMfa0TRN6H|V~1
z7`@z*ztsXKwJs0v4sN9hKInWA)vXQ!FrY3;!KUTV9#hJp*k5#~@V{>N$mp(dknH~L-5HF`p3^0=v4Po6Y$bE+X
z^C8vXC`Su$ut36_(b|C^fJA=qC0ZB>hPHhgoQm%1LOpgWUCs=>cOJW7EdyiFPR$cMGs}f
zYjbD+Ro}jDNrDHSwIZIirT;if_$HtSR$+b6et9l?+h)}x2G#~_<)7u#i`$2PJI
z`PK)mPt)#}{pv#eZWM~TbT&zh1ym{izV>oIGdXSGYif4#`IPd#o`Tem!^Objgj~#p0R!hEao!aDdp>+9orgPeCc_b?<8NmOU_Y7+vO*iOLpkUk|9^}zJPid4kh*A!|`derG;AR=w#>EB!B
z>Gkh_KSf+5j2>*XroVofzOncBRlr62-AEuXbw2B#%V>HJBK_n0(3a%CpATP#uI45=
zF2CWo*}W}ApEoZ^F8v}d;;6gX{PXH_8M*pZ<0sKu$gPxV)V@{1SW`M`n237tzjI03uE%sXrf1`ua-V`xO)g2oS}=y?Vzs#xuEPmxlvEq$xH@F+6D_
z?$vzRv5*DvAHaJE+(c|qHBI}&!%7iL%a}BskIUU3G%u>1*ZusT6a)-NA3$Mj005{0
zfD&KgWn+rFl`
zV(dwo{xR3)yXCl$`D)wiE%&eJoAvbuTT9ljW*D-EVO>iaz&zJwn-}+nu0NDGZs;=|?cMNBrpnma<9=1d
z<}x$nZsy;#fzQtd-6?|Cm?i
ztqrZgEy~3ssgmcxVc}H~3blj5PO{$>2wWTo`c2-)BNVRUKXdfw;ZFe=2NF2(oFqU#
z_3la$T)^9fVXm%JhPDm_NU}D&aKQO=-wh|3Q(ST{xs-?ifJz+oUW^E1lRI6H5^$+$
z2%a`53o+Y%g9Kv0Kt^Ni=fGgL;?Ot>x2_+*XeH!;`JYwX4X}3=ZKSdRFCGPx(ACJQ(u$^{U=L4~B&zZaE2%>DPGRP>hkb3Yajj@{
zhvI*VTjnclY@|NukdI1*H7HI5@LO2~L}76akb;Lf0#(f;rv`i};31$jO+
z&)5OD-Oa7RtmQN4VQWzIk*=6ND%y&SmXZdB9sQIQRn!FyJcrzM#9C
zD`aN|W3$ZH9|E@Tf8gHuA$^;DiJs`HaV!+)*A~XbFROp_aG-C6tX$Z{8wmc!^Q~k!
zAOD;1T^!&7NY1=+erg65*BP?MftXu@eRv*zIWE&(erm1RcYq5ot81jO>s*O2^}ILz
zd+r@!9r8~4jsG5{)@53uK=uD#_-$(?UPW{pP_N28hB5ndT9V>6dlA@Y7)2?fS?-OP
z0zNn}9CTGqI0ySri$1@*SGqAJN8RqQQj!6w&rWBnYk7C8`4elUeNyIn2Vj76gfdv0$YIfa+GRa~+^V@i2|&C_j=d
zFc^69{Ns`&MzYCH#bp9<1a3|DQoUYI>}c9T)K0$&25fewaEn^FmCY+SFDvY7cN
z%B@`K#m&CA<8soIw11Yi->BibZtqTJ{*`0vEwXSd)V42!w$sd_(Nvn%=_Yuihb_5p
zscr)dk1cY*U{4blwsKj-2d5uLdC!eFDIU&a4&^%w~Ut+$$?I6Q}$ZjJ~~uoihvh
zR&<%?b^OlIPq)uemjj`)=%zcd(w+DPGhgMl%WPDMS@E6i>L+{<`NTu(K8=LZZ__*5(Yb0hZ;V!FjQsfUe0>#KWm2Yzanl)Vl4
z&9jrH0EMUOd~xUrPnpLnO60g@SD@`9%2C~h9SY8QVUsd_rt%A+Ud1)hN)CDC%BgrV
zouSD`M%qPu$P0^qo6!V1?7w8LG00J5t;&A0L0EE5`-cPHF)^Fd_ShfnK1V|Glzcz&
zOq7^QqGR@c;61lMrHZ3fd6_87q
z+%al{Af8>nlQLo9_hH$Zz+mS`a+^Kk#Ng`|gWH16_SSMb&0qY^aFl4}KSWpvYnD5E
zdmj4dAqLZRcwzw(cK_y`3;%4ch!j*Q1
z!IGH*-x_HlGVU%G-0SmD1)~NwAn9OMPhE^N;lf(*++as?Y_S&n
z2wg%L!e;`(VF#W_@DdeYkEZF1nxT$0-Tas0)L!@O#Aer&4o7hy4ef2lZTsGgw{3gF
zgU?d1iQqZ+`{Nd7w)|t<_cXizki|i4mK8oQ_IQIUS{hA$7;l34B^vOPEa!*uz#eaR
zPIbQ3)3&6r>fzLsy1^=-)j8`^zKg1(m2owgi`Yq?eAbgl-&!-vAmgI5U+ayH3s%78}4n{;k^y`7Q6k--sxM
z$6uVx566p{8CtU&f8t0cLc=H^1OV9m_K9xy
z!@<*t?2`=AWFQJaL*TCI7mq~ttTgo^V!hrau8m87g)Sfp(}8vJt`Md1ox3{!c}<=;
z>3E4HJX&QxsR@Jb^du)_#r^j!{TSk+OhpD~Z{lLVl`RtrGvff5Y|`3n01?pSk2&Bs
zidFRXu?poV=2d9Rh@KWKpNb}61*8@*@Eh6i|YB(b=YzMkh5dvQ0s_=|*t
z_Hn6LEP)0ShGL
zsrKb*k^KY}EJCq@ek54;F4T^c9me#(vrp
zm#B)s(v;9~ESQ*AHOaO#tHD%Vv%)SAmU-BYk`Qr7cdwb+CSPl>IX+SIe26-49vAKg
zvnQm3rJ*|>sZz7>MgsC8>*(Hvy0~4DJ6rp~gF=oJ`(_z4#&3O(mA?{c0I6_(GN=B0
zIzRM8p}1F4ab*3xbmLt-5(R5^Dk0L=jfAvB_zM3mTEJknhm
z3>#&B@ej53!>NSGY&}CkYhsC@9Gb|2xz?8#&Qw(%P#$_VxT9--BV@W1_>cW)QqXCM
zFmtqH6G|IGB3v4ZJkiz!x9CH=x;_1h{zyS1R9i4lz_}n80VoHL!H7&KzM_?cMK=-C
zJ$!12#MW!NDKWO~>^cEXUfE|d=~_I^Dr^$}0pUb6OyDMMI1^T{%pM0ITDtH=Sxj}%E<
zM})#u_$L4)28=wifn#)$8WlAjJ^qE6IW0Y^SA%9n`GhO30)eO`Jo`w!E5L%75n)n^
z>CWwEOb;0?9)xoa+mOFuke4&KjHi4VcD%(~y?W3_s^IPzG)T()YwyraUS`hRYust5V~eA+*El+me2U1hR+
zjIe{hRW9!px#FOX9*EP-Gz*U;4`RvQPTQJI50^`S^l`pmL%s)OotO-!q1?ChdS`U
zgNs@Am)!ACLv2{XIto|}yoo{7&9c$(Y;{qCZ{iAFaYMI{H*$>)u5=bR?LaUj;7A=^
z8Az?fj9$SZh}#*z#2mn55MvySienqap}7tyTv_?jeNaE9KWz~UP)JCbzj9i_$@BX2v?!!Jx(9Uff)F2Kx4(3rJpQvgO-
zY%valdEw&~
zU%rsTF_PN_btS^W88KGb`D{}t&g!|`wRz=w@W>v-tNzw3y`~}>W(3Tf_}K_B)2@BG
z8=?dgU5B@lQ0zfnBNuMxs#aSOue;*l;0BlrKpi92992pBMP*!WfKo{4YCO~vfJH?|
zKsH)_+uY&M&gPicS*q?R#6@m3v{(lL)m#-}@}SXf2XDF@NXe00>4x1QN`w
z7_cZpQz9B_;xQf_l`qSY>OmL+aEKiAg3#eFXsdk*_x-!x7p#7G4E?sst?C@+zX^J7
z0dNr^%blnv9}rcGw%POfMCOPZXR7m%oBMK%OFd!ePqOWQ8Q8*02I)s%)Vwag9v@4G
zouDC72FkmIT{H0iiIM`@@CCdejz}dhOOtw?#+=9#z8h
za3{jNfeu@Zep%3Rkg=feXWo~oI%jjTSH)qiXJF2g&=1H}m`nQZ5GtB^X}J7>Puh@G
z>aa5!Rslzr0D#@vuuE^3yxD50gkZ>D-sQ`K*r=J-Xmr3L?DVtY5Rn_B^H0w^K>yi#
zVArE~R$wmMFi}Ue=MkZ19p!Y$yu$CfVl(CwyftVT`NDH-_Ik(ELT#0|Lk*ZhY;t6|Z~I!HXG6|B*9Nex|r
zNzCfHeexC_mQ~$+QTWbZK9{KHF!Cn7``yi3(+}d#DeXgo2=AY?-dtLz38|u$G4K${
z7gp;AR3`fx0DOGA(R823!JhY+oU_61CyNFLow!v`KAF3*yq?#Mb=6?u+fYY*8eIA#
zjFWo%*+LlxVG1D2@Xh{Mw2&#A5ew?B`3`&2ceLKMj>rICe9bWt#%{>ldBXb_m&L;9
zkbdSf#Y3Kr5dW?TQ5f=$2ekKS%MC=R!yTBW1d5uwh{H#3H|m3g~)=pus>3Q0SDsydYrr&
z3;Rny_8Y!CVL*L)pdVa82eWPu1ZG|Z1wsS^L53Kp69JtA?6o|29k{-#m(D~sWNja|
z5xBU4$v~=m=Y%Wqr+n{kg~Hd-V%X<>f}jANlnZ~7FU<5EN1pwZ`fHprUS@gvJwjU;Ku6H~E?!N+oGIMRFunphe~ua-EHbmV;I{
z-+6*6ybLSFHo;he;}MepS`5l^Mjz2)H&c*-{3LVNVSo|*HqxzBy;$4WL4U(>Do?^R
zQ{4Oen`*VZX-oZz@9%2eyS&Vh?=a&`0G)bbGn3A{c&b~tmsg%`+?RDIX?1een#;T!
zSqUOR){$pa+`HpF+VyRD?#*&W8C--@AS}=mPJ&dgLrkf-~5J`Ksnc20Ys3rL}-{
zu(Z}XW<2*8bI@FligrMEG;yeWljFHc*)~_{nbfo&H=)ice$l-A{rGF*aFhu!T;W(?
z%*)1pgXS|R(}3;PpQRTK_ClrQw%G2mtu)~qb5y!#lmu`$l-p=*&}3Y
zbHA&Nbkm~i)!cJLh1dAkdEDm9XS5pBQt%O%)ra-zoVvUn7Sbx+EHFE5bpO?mQk?k)i1N(vaCDyDb#>(?ITM%ci_Nha23_@J=ZH+n00swjZJ8)3W=`!=|z~5(a0k-R%CQSW%<>
zfmL?RTy&~ARr3owW&Bx)+atpFqpRQo%bb(84RGPgPQFR#C`o?H|FV$Or~10CrK$bn
zHKFiZahjaT4j(p0+s40C@kmp-VtL|!%hiE?cPWq6vKh6O-W61~oN5o{AT3{C8;e`L
zVRFz~BCS$$z469>Y=9xZ41|=8bfGdFQb;oLi`6Y1AJ!rb|DI{{yz^(T32Fd#lMdVYdjDx$j=q6ox5Q{5dOwjz3plO|2w64q>ceeYPXf1OD?a@{Xvj^CaN1pGfQ_%dUQBV+vrn2UaJrJ47n>O^21S3Tn_Hxb~k!l&##*5^v5)
zSVsNBP+4<7Y-zg$7ZD?UABu--;*Q@n3JYjBbXXKvgv!yN;BWwd2>Ul@*OfxE+1e{o
z25d%)jy5NC8t*jUw(EqO@JV9;ym1&pi@%6keEr;iv0Ft9BkUWbCuy9Qcbvlo1LfM1
zMmklz!7Q$4>cwgD*$V48=j(ofDjr=b>~Ig2{+-iIKj$Q{K;U)LanncK-}nvSIOBC)
zi|ox&#ryhLl60uhU?tW4VVh}L^Et1SojJwh!?#g#p-u8$9jHoPld1l=W+Zt^jn^Du
z6aj*1oWd#r_-j`N3YF`5p9%7Ouey$fx_5(sZnq{6M~UeYmnoIkx{j5|{Lgf#KS$iI#GOHr2C2iV_mYSRXyJF-!-M)(GnvOKsp(#dY!ds*@c
zMKDq+<48V=knGwC>N>i$hJvcjwQsacq*#iqtRWA5|QjRV9uJC5cmY
zGdF4yHe`((PZWp-^LFPJ^HwC(fo%_!Q>-WTwShOObTaBoXroKvgfrKku)pZ8
zhLgm=m_R0uXvCL1zd-X5f!bm&&kMqXUy^5pj5$=WYcCQb@%zfvs)70tw5An47
zAl8tK)puW99Q8;_De$z{ru&~O?M`(A0$9&Tl|Hy%Oa#sRcW|b`JzeQw*G)mdK7s$?
zb|jVRC0*Bc;{;DOT558xFo(wJr$vUkRW1oOuHe}RZhhh;x%iO%Wxl{`9=m&vVD-GS
zD?WUTN?2B@3DBPqsbGqsp9b^S$Xe*H#nbE{EMx-PgzoEl#1CmXv}K_ATZ*)hz72@&
zMw*o13M25a3hOvi?%HufpmuNyXZ7rvl`WT!*n&3c?sBb-4ZEPA5|azWwi)N5-~%El
z%sO(L0xSi6@<%MwO!q%O0T!2fX=K2x0(Zb*M=SO5t$1G}x3PA^iJ=au?TsN3MGN-H
zoFZAdub3^381AhY+H=f6FPR4t(M77Q5x$@~r!&`Z&SbX=&FuN%xHyL5g`Z6n*{ao_
z!dh{WG>=fRrht$ZrT5fG!iM{80Iw3ErUx*zsEvi@`eW!}RlJzbxI1Izd>=2QDE(8J
z_reVFueLY&BwG+*!QWjKupVhH2zw1r;^`n%{fW3i1$V}T#}1%OTT05ue9Bepejqmv
zFN_YdDe6Di0sEYnQI9l3*73zdar8y5$_gY8Gzcf9L`}_B*zOF!Q{H-QC;+hU!LjP&yY-{&cwV>hTw?4L)Y-_HmM+TqX0
zVhZBK@8@tG&JQA*#x$`;#dL@-3wk-8ew3M~ZqsLFQR|d;;4d6zjv?4T%Nl0LuI!5VRtiN)Ts2$GYd@|0qD$DO(
zD9G}fD0CS!;J5>>s_6|Hp9O?*UZo0cdcX>RSO1QC
z4bpENBxI(@^~;>f0#gEIlO9gazn(m1VRa330`z#a9(mJUsY-pFoYpz69&wGx3-Po>
zs@c$eg;l$}+8+?Ql<9S`4>PP6a|T_-RP=c#f+^}+l!gOA3VWragH@Oj>p1_h?BL3)
z*eV(qubf5~%`D
zBTN7!WSuWtpCCmI#PgUNAe*3;0ImHE(hD
zk|u4Zw8p5&Oi2g2M?JNJ-(d-2X!1?)kZewu!pnKkOJ($t&ggs3p#UD&rH<(t`_{bD
zw6Mj&w$84&$e!`iZ>Sau*vdHo^+#)+>sX|sA2cJ0k4gx!w_q0Utb_3N(A<;AzIyJg
z!m?>CdRC;!ceC=U>kB}b?K+>00?SI$tFDOP^iJI1Y$(3lSIKTz3-|^p5-v&lLrFUW
z-a7y#mx$D790Lg~@wj(MjZ@S&Id2_^O9bPUFRM^j*f+8>K1`_V17mlDm8lhZDs*s)
zU4I(c_JwU3kNm?eRndz}nJz5q%Q%QL()NAsw4W_x{4%|cf;_!W{k7Wt!?)M0GAF^X
z@Byw9-GD^d^8~NX$hbc`WEf;XEd*G%9E+f&0u1!^nbC+f?SIF!Jy)GnRu+nxYUe6*
z%;JP~0`UP*;A{y+YV*o}6TIqk13IOT3){6>5I`ZK`K%@VI%Qk)q`garc8yzp(F9T%hsri!%FJnZ>P6y_e!|oO
z064hapQc#iwGx=&gZ2nlbkidqHm+2jWQ=TCGvr@nf%3*UIW
z_Zohh3H#TWflmQN-m{cYdZNM968$rNFW2Buq{Pe{tPw%pC((JUH9tJ&<%(<&lYZFg
zZPlYB&wM6-2&CW8`Y@1C%C!`6@~`2rK_EPqg{KXYIc+GOg%qub&In^mR~lU?f^6lh
z;$`n{`0cWC3OViE-Ng(GvDyK!QqZO9JdYE17!zw~*_%1@9MSwoM0!i9D&_a!>;G}N;
zl=!hqfI|)YpUcF|PpR*NBv>~o(5Fuv-6WZmjEGySW7al>0OH6(jV6p}dXA=DWpi0O
zoSU_%+*GO?@i|UZ;&dp`X4u-g_TIuH@1{xV3L8F6DRV#ISHXbARsd+dnei;u>%=H|
zRsDQuHOK1nb9qLZd2Gi^xbDQ|zkG|b^-;0`jOhDRhbN}S&D{T0U&-30`Oq`_S2#z=
z8n&9uDOWKbUX+mREz>nk&v>Qc6i9bU$+a`p97`o>i-7<=EA{_*3GzzrN+bGCE#B`D
zk67Y(QOCOBp&>+t*z0*^ZmA-#RK}<;EJLWfAR?4Sykc{zD1)tO{Ot3i=aOthUs^bz
ztCjHCDYu~A^<$3|W^Eb5ZNN%@?UfN;r#LIVFEf|cI3{YcRVpB6bncIa#fP1SmNelE
zZT$=hpLPS`3marY6-ZgU=W;FyUp4
zg&viGsqIof+*Eahsi*W|MpktFdie}(%6zlyklAVMEs)V7RY3)U=FLc97u5{}>*FA#
zlLa~;k_(ExS_4XBOv**b>^wJidBG?Lv5gzc4jTr|phNnoxF6XrOV1X#g6&OLoED$Y
zzpz8jN6D*2fYk=cMOr7+7O944+Dgtda)_*LFt6hXJ;Tf5@TQp@RSBgN;V+;Zv@qx!
z4_8YRWK)QKKb`U(=8&OttINYA+xXi^30^h+*J+cF1%Fq#{lv@^eA>&-G)lA
zYbSY@18OV`!L?CV_sI)x$lwSnmqg3^O_g&;tKi*;>A9u{vvMDB#XsnOBG|D>=1rYSGF^{RS%
zsMPLl1My?srV{ee9Rp)9@(09qlRLhBqx8E~EE0YQjL@`;xp6BYzYW^1a6se;+%{TQ
zCyQ}7uDn0}YKtP_U2PO4th)qADBE91Xi^BPo9!67(pA_J2__>5bd}vt2WhCq7JlA?
zIz=8oXQh%SCfV*DG4tC|J!L4rp$>I@$_EP*)BV#l9Aul)=^6ny$3IV)>gaX3U=i9FF^8NhQ$Osu9&GP&+
z59`=(G6J7}b9*k4b4Jfc-_ec!(cv$rav;REgR)=oNDoiB?&jyBXn$?CFTxR-bS}CY
zdCZ!dL%yC8EX0K!lvqF(tKBSe%xbytYR6cUt?o4k(?@BFebi;ftMy)F@lgqCnVSA+
z>EE)L*xiUKeY>Ugj5u35Mn8jv;UF5sRAcZp$hWH!l{|C_2_{Hlu{I)E_Pr!qR4YeR
z>)dDR_Zm#bkgOxH!X3HKd1y+2=psE1N^dN`Ln-b#Ed9RGkaFtufxMP;$NBOo(hM^J
z{PR9*KPK6Z&rj*^G|JnF{%8mKcwfSM5Q;POB|=WEUlFS)&`*N4=De1%eGHL}P}{ir
z6|k%nZ#7a{t>Uqvr>!3a_z=a;%^kuVbG=2xA5R0*&$UK(72BlrIXmkJmsYhx3}+#T
zgp7NY85zv(Qs*^;2@fg*GUT~p^h;`1>74VLBpSI9$i+J_`77ZY3in)wvCP$@sOmSf
z0{etHz7DGW7FXico^q?qWA>OQF~g`n<4h$4^4EK~&Zge$mLEBfs!!LjJ(!*S#v`&(
zNLJ=0fPnh6m$QElc_QMb{C4MUTAJ3g6*Z&#QvX(0B}a7iyQ368Rg0|>1^$`SInC!Q
zz1rtvKsU+s!=F&|!LrUj$Wry+wVO(GxH0^XcI+HA)bX*%~-{FZ5_evn$QuRkRCTVaQD9LLU&($EvCWM7*AnTy43|{lePPRIC7>!}K
zm6p2@>BQ0%0X*nh@cC(MP?G9@{ZUW*V%Y0v&B&fg3brXas27TfQy$kI;$$Y4q#C$y;k3sAH!e689-pHva7M$
zeD@|_JMgOnEPB8eM_L23Q`kq|ZiO@!NK9%J>3dlRqtJI-Pxi#td|7KvMQHg6SNuNl
zO3G2uH)76e@;7SJNXEW?JQB$H65M7-n!+z2|RGfCGSU;{UVcb=AwW)`bo5{FBU2IrLd0
zP`N$8fiyZ>djum}&d1#{2^!bzmlgY8s$wnAbY+=2(xCsev#Ki$>w_CetRf)dN~}bq
z`Wvz&VcB3jKTtBwbBUi;Xw`i6NE$CeMZcPpw*_xooskfE?2_WuybQZk0W}M4iq!{^
z1hbW-rz&G^WH0r=U{_kL0t6VK-Z|xwXpf2S@5KDEjc;Xqx7~fcElz#%2#GqvKWB)Z
z%5AWw1il)ZE(~86wh|5y?3ZeGS_8Am1D^^*qw{IMVfo<~HeyN3!6iOs832BA01~4C
z6ZS}mJ0b9|*%HCqm%|9z-Lw^PQzi&6>HFrt#eml4=+>!w
zQ4UMhGM9~YSA_;_HYfRCE0uJ>dXJ-dc>D30*S4}rGyHE9HmMTEfsySG!rOXzfqIVq
zthRFe&UvytzG9zmX#%k&vO)hctS6TcnRD^KA$(R}s8s?I_?pAwe>=XY-4K=FI
zzU+DuP=e7+GM`iQ5(Sd7Pqtoy**2&@5bYhC7OdcCnw5k+|DKJ|q=HV|F})_gdX&=w
z5Y5(p8jG9GH5Xn@O%|p8+WOGxoMax=W9sro-9Y{~K7hJpC46XUL}0<8(e;xe6)c2d
zw6t-;ECguLHBFI_3$lDQ(Z)8OXU`-f2Mb@~sjvE5o8AQg7(cU?fjW6;+wt&;`TZA9
zi*qAYLzFK_bNtvD7A~7PwR2`YcCsF(KqtF?2eH_z7$rswXRbMPx9C%;WbQiz700biS>C)`3Z4dFguZ!#j
zJDg*+XWjkw=Uj?hkB=U#l&*bmKH!=3ar#)vpB6zo)NLap80#EBg!E-+{J869LknRR
z!HQz^g(Fv!E*+jMYS>{H2p=kn$bE%Kv>js$1|U7SA+){^BJZxuBRn+TFu$~~`f7BY
zVo>?~+u67b5$Y3Jc1?sVaGet_J1eh0hGMyEoXi9%@b-HmT{+~q>|})rT*ZrtQBdq3
z@Wh!4$`$N|G34J!q~i0(CQll^ssw2%+B|I&N@#po858;5@VQ7oxh_a0bc
z2>=WomZ;qCBDl&{rp(fk+7JKq##li~!5}6T>t?4D{v@ZI?YroGR-*u9l_p8Wx$_A|
z1t%&6h>o?0KXAP{?9Bf8(TlmF+UFP{05cN_sz+$k%s6gIKrqn_FQ%7vWv~AYYt{vk
z0&x)G1uR`~U3e%nioMOhD?_@LjpWh)iht_%6ni)0$}!xY(+7uu_%4+V)EQdW+T$Gf
zrH@)NK;Si4p#^t(wwO{n7&xRvtPWqSq!n0#P!|~!$Eq4id@QdDO}5E=t5%q4_1id)
zlB4h$1^Iy?fMDgOS#uYurC+;A*-PSWf|6?3DCx=gl#+wtYs0d
zL?|s;tkG+O3SJu?fOrr``7?sO9)YtYGy1^$d;tdmQ*Tv
zR4PyY{_oDK^Wt3BeVzOM-oNkX6Y7t&8{dACcD?Aca-s0x)46?c2wyFP5*&4Oi>pP`
z>B^!4bX;mVc;GuD$9|7YuperW>qPkpxlUg#{Se9Rq@X-?n1UAod3Vz}iPQEC|6cTI#rf;Dsu0G+ce@=u0}JoN3xW>z_wY
zB-@R&c`nW!DJZTou|!?yR-TEQ-Sd1W>S*)Q&(MYk#yyaiyzWmzRHAf
z1oZa&i1vviesNXX6bs+$(S0=j#)JF__Y;?XngiR9a1gG^wJTQvt3*}2Yr=w-HsdaA
z#SFRscqTrSCcCd}JTEzV`<_A6KdK*NG(>o(x6GePfR_F0*f3p2g)r{h5YB|1dKA#S
z*>0lCNtfH9P5FsjMd?w>IY@&omO$`_!MGm3!Cw5kD++l}qJ_E^pBK;%s
zc1PAj>Q2F8O3LXiNA>*Z;NU!+Y`lJk$`(kXE%iwctpk}#7-C8SMzSa#b$OvJFR&)k
zgyO;jP{ux2GM02qpXy+ae=qyDVMJ7dnF!)heZ|FQfh9wdWw%`V4KmPF5Zv|z-Lw*?
zMZ@k)2--f19FY9PXL6$QbzFh-p6x;udwiY~);;
z!W@WfJC-oOE>{5wk;EBM;-{$uOfmfpi18#~%i2eUj%#zdvWCM&8_RleXYMZ&UxBxU
zA;?8;7Tid}A}b;`%et)$8^Q^5oNE_I-Fyw_m#LAd9rj@le@Gk0X4^LWf|yhIfN=IW
zorKXzQ=umN{X?Xn;aCN*Ovy6QhC`sxCQv3YL6a|Qg6kKk!u6b&Tjrr{9IEtic_1@V
zU6QttENhcpoV%<##ifpd3d6Z_%_6D`VB!{&ApgRi4
zyM4O$1A~_V2zkvkqW1IAy)=o97giQyst~RKi%rO-2@Nm;C~Vj+?a*GbI%QC9!76zH
zu@2${RD!%}ATlAa!?7Us7!Zwc-DxwKurefX0tV>JgX{tcW@t4ht5Ba&y=;ZGOh2dD
zpsVX_!&1GQ-`e6wzP7O8@l-f_$okdFB!T#E0~3rHl0GnFoDr5VBUhMb%dcjZ>C`@M_lV2)kOyAH1hw>78sx%
zg6#`j>N9g9f@SI%(ubN*#{%*JfT+v)KM4VMZOI_G@
z;7$STsXma}9#;hgz!yLiA=Fk7Wzyw7!A2MAV4c=Bp1kreAY^taBl<
z7Z%^1+*d)1o$rKaxCd5&d2FL+dTbTu~8AAFL{|yoSfTyAvsws
z_h2CaICeIU1z@(A5=4%K1r0+7<=?(aU~=*&TL&ihKgA{1dZe;iO_-7<#!1Ljn-}1&
ze%f841+9lF)WXd9Rch6mDz?Oz4rUvI*k{YvLn}5;3xW^3j6F2rpe;CqjG@8JbeOQ*
z{j#<(v&{QW`95(bp_G@@o(5ZnjI90|40f5jn^%380MLU#Um-|-F?An(Ezf|o#^0owFx2(ipZ4gY1
z<6oOR^x+x^PlO{=!{_<(>zN0uRl9G$!cG+P6PPVp$2lYlQD}3SGzXOcBkY{-EU+NCi~o5Z?xTsu!B)u`vVC)K7_-M1j`oCumfx~0ZT~^d1z}X
zvcM1|o=A@aNxX>2)T&8U&X7OBi)mH+7+yQJ@%CeVn`-$#-73Vp=IxP+XmE43fs<#-+YuiksSZLnGI^^c_HI0pwR_k>`
z7aQJC>pKy}c|9j`%3=_cB3fH=1w{Q@EfOiwvhNP$=PN{Q6APN0Ze{tnY4c
zU_=H2ussxFl=Z92vx*}&ZciZ6557KO)JAlMi{GNQE{#TPfuy+~i~c&9qD;hZrL|9b
ze=OBN)a?r?UY4>9g~G)lCraKte*sta%-j_;5qkxE>Eobys4fCS{7dS9{xp>Z03~k9
zOI#{nx5nE^6LF>21)MJwMgRo+bVIa`0-|Et4$cZZG5v4
zb6Rr7rcu)0V^QB@cVitc6&uzau0($CZkv_;c_gm$$!oNW=g9seGO*9i
zPB0Sn;}RI}f>58Sn*!yp5MeK~{g>>`D*YNzQrMv%k~ep*ffy3u$;uY1P9dPWvB^sz
zUH*qtSzzr__e_0}bKM8_%g-F^B;OxQnCW3&Vi+G64}Bm7W;%L7a*yG*IlXba3H
zE<`=gPwv(WaC>5=HVYzp9hFbI9MY$FvvT3bjnR$0Bkf6B>emY%7X=_H?PUTtK7^camrGR%Yq}G(!928uhdB==
z)w|>3#c-7-WOHR93i@Go%_`vZdHZ`${phVy38p7GR&-hMipBN4zAB2&6PNuVr(1{4
z{rC2J|H)9VTgeZe5ieP)KqBLxloUt7f)|E}@;9b?nv~ffZ1eXu`p~7(`Gz6T;USKM
zTb%@*DYkJycz4yxweIIf)QS)4Y??;oL0Cr{?H;{)Q#&mB##$*Qsi?I+@OtbGzWV808cW3&t5qE*QQ3
z#k{5c6*SqBb;G*pd&W^P5E5l{Xpf&@GjZ)W8Lv}a}Be}Bt&^&Wii)<)IW`%T^-o0&K_2F&EC
zMfu`)VH45XAgm);o=~o~0m8I_h|Op0nZd&%5Ud2AhPol!HYe-?#hP%08J^8kZM-40
zmz;|xoBbxuF?zOX4GzL=>2&YuU>i7XlPPc!yoKY|q@R;!?4OmG;*?>-oic%-RpPOX
ze@@-&cJv>AQPsV86M8by_Oa5@M`QP|W!}HNOz>E`@9PjG(ZhM-5+pRf6{;#UotQ00
z$i=f52$wZn%km9NeXt*7%RN~N@zNw#1=ysAVmBqjIWUVXS?Cv&p^G1`A>l6eKixp@e@}<7ucYA63h}&dm0j<{3ab_uo$trp7l%h2ptEB?U#uw+qT-8k?|*1
zTy`=?9raUwac~wcB+Cbq$MdiR?X^Rqt!$Le2eVQQlx5n!JI0Kb7_N>oHv%5RARZ42
zCL{HKxjbv~wk9hzdnu7`|3%q2a9(sj7ErudypvFivP9M&3o>+pDQUcaeW+~y*U9}(`L5yerDa`!Pc#5Y^#~2r_z^E=Qbx#I
zUc(xwcJW-+?4+;qE1B>Nc2#M+L>VFOA)Uw7179M>8_2m1Z8sC7u<`=0_d>~%@gd0>
zpKs?#2?AhRfFAH;3(K&^9CQbd*8*rp8b(o8P$#}tDNh85R;wX4Z9y7-E}l)3(>Jlq
z!~rJLL*=&dMMjPsoO
zY9O-EwTJsNYjc#w5jRe>KG+B6&?sp)PAsQkk&}uIglfg5rcsq2ZvLU49BO;{jFhB8
zK~VOhb=9s7&Y1Wyf|A);$7j+H5R8TN;1wfMTF;vkX7)#sim5sGmhDZxQ_S
z6*j@d?5y_Rm!E47YUtF?lP5h+rx#nre`00lw65f++ub%!tx!>~DLly4v&4t!QUbuj
zs0f2jMy%I-UC35K0?A)U#h1Niq)5Rty~;JNE?i}V(mmA4?1y)A`4I~BqqQ-u^^yxM
zT93BHKHaobGq3^O|2uGU_VkI(Tnar&{pRteYuYth>(w{%3`jE&z&{bp)Ajs)t~SZ#
zn?-YUby?F!PG$f8F4t-n_Zf6{yyi_Oy~`oE;QLpO2*PhkLh#h`Ls0q4sF$JUsrh(W
zjQ_pOIn>dbbn;_I{T>_a8w6EYy)Si2S?z*FrllR}swc3-fAf~bejB7v*~=GhbuoXP
zpd&k#7HFj3<#7TTV2DmvqqcZjMH$N9pa4AMA8q$FGYih*p7}1U}Kc4bJ8U#Xo|h9kSW1Yt%FeIu|{G5{llfIl00~osBLJz!o>)W
zXMG+zN720uL(dQzzl8~eJU(0wr-=evKby5Itc0#^4XY{_N_x^)@a=9_66iG;9y4hy
zqkK>}MtZ!Y+
z8X{(NNF{MOrz)C<(6?l!;-Y8q{UF@!v*0^CgNLb0;7pFu=ADuhg`c_j=7~5xKE2Q8
zyOymgOhX4MwzJ$&z~&c$==c;rt)P-qxOAc0d_$_l8H87#A5-Vku06UppLW@q3%v_a&|~$K`KA%tV)$vp~`o&);mCYlO*~x$fo|0nbYS!E3&cbmln3n6b%E
z>+@iH(}3#=Ev9Oj%Vv-LW+wo8eyv_HN_pYVNToz)RrEi&js4%!O82reQ?9J6WBjQ
z+=l6f-@bs#G7*Y88d%)}nsNT#=c0#;Nz;;^J(~Tbg!T_qPsejuZdo)e)E6#`6jJ{%
zTP3mi=*_TAJ=6WqzwOs!Mpj^ZBbNUu-Ne|1HzDJiy*0E8RPMv9L3EMNqR^)gmda8W
zd_}H>nG$=V&YU@xwz}glYLxi1-Sn5QN_NqcPiqv!DZb);Ilh6GR@n>26#dJiPb!#*
zL|h?FtA_vVr|tROL#3CnRU1=>`t8f#jAa}f{=5?1D^|ONK6hgW!#+5GclwL?^?>og
zwsF4&{eecdRTT@w48qj4a{bstAUS=*%4>4asj>cW9@6
zSpQ5dMOz-*qTYrQhg-rSKo00z%ph7>}s0P@h{2Jxy8*N
zdhv7>a%Hu@eMbH?3QZRD5Zc%O62}LIa~T3FOV~}i3%T}(9TTq@;b6Fok(L7f0b$nx
z_(#9x;AFSUheMrjqpzobZN=L@BpWm5(=7w9G#CZ*97T+CP}adss*-TrF_w5k+8n)R$Lebv!^DBOBJk$Rm{#LUw;=8!;3Sq7I0pQXe?JKikG}^6sQ&~1mHJbBMMORHNwAW3b+&9Uq
zlMHNZi?D_-qQh1wf`-jo!&fi_6{Vza1IS8E-A8u*PEYqdzIrCUR|5eE!4|^_x(uIgDf!G!
zqLN?A8p(M`t8{KxNT&#PeCFL{AG|>*igra-%HeOoK3Qy>RnG}d#KPwDY0FnBs2e-_>wUenLnE=&wIooEf$|MXCYcTNsrQB
zsNIYrfu)Ri2^eHP0FQ~lHu@ViJ(iljNxY37RSQi6j^=f1{NE
z9Y>BQ!dC$gk9z*OC0+`a4C4^qWw;q?#&e|{u1{!W_+PGQxhnSEJ^HiC{?fQ<5td?8
zLi)b6s^8Z)-$&0EY&Ak=fx9m9wVQNY_>SkMX?w3zModY@WWH%j@>4
zm&X@`F%Uxf2GaxQno
zct+3p{t)nn$Q78+dFdD0it-C&rNI7J3ZBc>{b1p8C00hwhOF;IsVaCgxwIH7OQv*g
zZ4ifjEa3h0W94+gHJ*-`6~r8oPn(X)T!s=Dpm;W)-wmyxC*6v!$AyPNZPrkP{0w1(*NV>L!{&)#OL2%Z
zij6w4F3HlP>UwhDxB8}pu?Ca
zB8F}?Dw>)xK!ga+i$s!`28ie8H{=R2f@f}ZkuAPDxvWYi=
zjx2$Ns)M6a(@Ad`b`Rk29tO4R4-GRkAg(B7l!PX%`3d5C!+OYdp1RVhpBSrmvt`97$M8>LVLf`)|A!
zXn-(d<9uQ|g8FggN8W%|fL^WON2*~3Td;!86G7!)Vx=xq?`YEzifKY@TeHhk6Utx(
zcY&PK+S5MofMyTMjaQuUA8v;l9IUgVUIjMvd?c3g>;Sz
zX|tf)EL8U}{xJpxFyU;f0L1FJnyg{QBYD4Bl<)aGts!Ms9t-%9D-&EDkKwZ#^G9FB
zzx^9teneUQW2EZLQ#sWd_>6MfzF(_T{nEv^OK0An6FhhJRuM1I2qLeu1(%Kr!mh0D
zu~A7i#x2Ff^tAJ^lLBu5k4Y+jQJGv&(?9<~(1sjuKgImb@1{PZD60m-rp1*W7NYTp
zVIEm!?~`1X>oC_*~tQsx0QcRN|DHd?oR=
zkq!w4+If5{%JH_qIzwm!0IP#gA6Z#aMxt?WZ2w@w%YA0?l2KX*O(xNDvK
zq!?HK5k2WwxuHi&*qzROjtmwttASz3heV)&L!)t=!$FE8x(=+$e>!8(p?+z_1ZEoGAqbf1kbxSz>;4fg
zGlPck@xf|-Q3LV@h7iNY*e%#
z8&kIEUvLfdaJS@dYu9}nq3%%mpk(C6*?~v8Hy(l*1hyarhhLQRojpW^8G(s#VV6VEp1*>5gxG-
zB6TrvlAPwXTXswWuq;qZoQ}?n@dO0>isfpl1BHnZW$vORF19ShWrdEM;nCv*nH`LA
zB?kOZ_H)~53aK*aGynT(BEuRs5u0>p!u5EQAmzd;YuS*?CdzpiL-e}u}v!JP$af+}|SO!0V%+11Z57NjPpDQ^6Nw8J|P17qSUUxEzoi^Yc1
zu;73AUolYW$MI(GFqOpl-x{hu1U?rQB;r}ogla`=&Q7#)IjQf>r<-dpN_Ba=xR^sT
zRLF_k*Mi*E6%rSjx)|y+C>)!0%aM+N9hk%EdXyR&3z95`du=;!6ae!x)BuE-vQAKT
zwX8T`@}bByyF?AbA2jCoZj6&BaV%kvPosV`*}m09p**1eajCLrf8st|vvK^Y)@d=V
ztbgk#s`P!Uf9ZDTO(lm-HtQz97!@gz>3Aqn7J0bVG6NjK!J5~h
z*d)K`UZ1EucJZ&WhGn6&n83NKSKrBQOqK-Su14+<$v`M*;6m}bRRx7U*R$-%%Wh9*
zCFH5_!LqKW%m90Sw?zc6jocCX@iDITc{~0Bx5_90&K5HavonWFoX8{U0bKkJgg!^q
z-~-iX-PhZnDEj^9&%O{n*t>FM`ZP##v?4%UUf5INA^8GdD`ug0hf>Lblu+y)mr>~gizC`&H;A5%W_W8{si
zAqu3ifMPpx^DIra;l~W)5PEmbA~IDP=c@Yb_Ov8);#`4*-)L7LO#yR$DjkS*n{tP?
zPmh$v5TsXWlU^$l)xg|Lp)Z}&L?#)fhZbCM-!6Gkn{SBtU{l`EBMq2(iG?;wdb^=~
ziH=~l8%wMQ2E-jiGj4!Q98MxiTMpqGY%)Jm1$`Haq5x~(5Gdg-p$E#znDqS{C0-m6uyv53y}RZT_`az1TVMbg2#ngF-G?sb3R}2v!T6-8}gy~*~EOJ
zr6w3z5S<6MxG9N8YFtDdO=!{2MBE|N2eP0j$B~9K7Y`?Q7xfSI23HToEQY0cEj}--
zc%|YM90CIT!SBbm%SZ7hW6{uOKgOFKL?M}nqSDd9kNdRgX1v
zgjOO9eEbVkyJ|J&~%zG-76Z!lAb@^kgptgj>HiO_wbhi|A=5B!)#!6cd>psIO=OjQ?uchIb7`>7(T=r}6-O
z2eYJ!geIXQgHl&^A;jcch4O8_s0ToqaX%5NWKk&PGi&k1V!Jozt^goAUCZ;3&y3<5=F4;L1=hmL#D^(#!sV>-s_<$5Y>%u{-78lP>DCb|
zZ$R}BWPTT>qC3k$a))qh0u&cr}#xH*$_$PcPhhDk3YF-n9XJe)bY&Bn?*db8sf%w<-W797LSMJB$Kp{
zw`@}7W71VC6my%&p+;lruYarjlv7D;UHJ9(j!}sQebl=;lP7JpLqdkzFHS2+gL;@&j)c
z%ykqMGkvyx72*y`*C+duEsKJPI_8gjjal=fe))FU
zu>w;yU?yc^*xh3Py3p)GF4fY~7;86Bs8`9cZeO*ip5Jk=AxGjEU>Dg9<81q(WWf%C
z>P%$@T+b#Dl|mQt{!ox%IRg?xl^RR*Lv$A{u1aZ0o>Bl2(^B|GCVM7s;bNs=(&Nhl
zrZs%u`bLjb#b+@@XLsgZUJvK^hLy9-dLQl!6#1l&C)>zF%^P2osf|w5x|Ao2^ONU1
zHWKLf*AEQ5zK=-#2axYA6Q$i|-kmd~erNd$k{%T3JsXgaKTCW}zn5f~P+rUsPk}d*4Dm(X>R3+682S%f75>y%=y7R=$U+0}1&a%kTT`jxC>o;d^Qb-i97?&9
z6C?3KgcZ-GETa3TpwmWYhUjU^I1e&T*Ya6ssmf``v4OviH)oFv{mysmA-;%1v1-5N
zJ_WP;;tU6cRdLY4Iqpf|^onYP+KC;}Jz}-+q?{NW*f+{^NBt
z^DO6eno{brfJXt1pYE;2Mf06yd(=u{Fwgf*j7rHWV2Art2vZZpX*q$B0(|ia_g~~o
zcPM91q2Zb5VWC?-Y6sMjPs$UIz^k^{Cunh?dgJkT0Gzao)=WZo%%{^Pg^
zi!Gl*fIpQYZn_O~qVpQ;sL^^66293FSf{;V%DtV?dSX_OBg(r-9!i5S3dpG%a-l`C
zJxhpjwg5W{{;h~N%>f@s6Az~x3N6GRu(-l&c&~RRoL-X+A2Krl(dHL0mrr1A-(&bY
zftRBysUex#E&gQn6iIdQ_9X*dBMbm@>>bL~NXkL^7V?u@gMSr-1@o~lZed3&q
z3k_P@Y?=0O`_!csm?Zt5L(_Kqnl*_d*R4prsr5?0mPM5`#goNjxCA-?qlkAxV>>}=
z6kfkAD2k>oguSGODi1F@U44VnPZnK@C5$K3d74BI&
z3R^yN3RD4GCXSTz3KqHSU|m{5QBExh=wM~>CD6O*CZGtGqMYX*e>`j|LzB6M!%}p8EJ4*$
zw5ulBVGpHRjzx==_Qs)OuMVfELBOyBXk;A)VOq-uC2v6Q`
z?hbb=P(PKjiH-vth0k-yiB7m6Nw4kQ0makucmV3NwEv-R!Y$n>I4{gC3P&=6DAJR@
zH>jK;%&mt=RSc9~vN%!7S{l!NPu(Jkd4Be^Aq4J=fQNU>*#
zFa|(E#h`9GAm6y^E@``5-VyfDj>bG<4V;X>N`c<>b(Eje3J>-G;2(m
zQNSk=Z0bVZkBXMvuoTfB)l!84&~LC1Cmc>g#|*v?#FWc1$mbG>1`2+>-E09RvX=}D
zu{s+#)OiC2l4r7@w$V8G5*?U&#rI7TO;}61QynMLP8@5>>d_eMxqd@?y;SVl6{yGzZh)5Fv@Ban6zF!4
zZlWkRQTPOZRdncz^nPruE?{}?e4td*!}|0-K?*yaO|D_l12xy3`oXJEclvCvS|
zovnIa8sFgbMSy+#Gs#GtCV#6dD`g5boT7RBn~eig_eYJ1^qRs+(%{t#1-3P~3|$OW
zy_f83^Zw6+VvDjYi#G0rFcq6qN@JBd
zxlN&ZD2RI$!~uELm$e_2WiA>_Ig&u(<318de~xH+evjwuh>?to=ag@1KRVt46_c1g
za5Am>8OL=OozlraIAeQF{+1ZOx^OWXCHlAo_r#{sFVK(|w>O<7ermh->6TutDDvVs;JrAnM|5
z>S?=QB@cirlLc*ur)!4W_y%Ws2X3%V^`l`=c-rC+4W_akM^PvqC#N2(Q5mRpC!|D4
zUGZIqvf~(U*Mqg(S+$z5BmYUC=^Q&CuS!yQX#eo&qmrTl*~n<9kT1=hivFtMe(}4~
z=^`>7jy(B!Kd|2k*Su2~#P1Yg{{Kznht-@wXTM&U&MTjB>N}w+bM>V9S3ep50H|j-
zzc;^wlb2yv7$ubz*t2wbnix%c$A2mg&OM17-s113BcC}4T#4fEJca?ifg?Sn4X+5PqG(HX{pwOjeL)sP}21}k?Rt(45L$pD8U%GU`*@A>x&36-M_k0
zY6W60z=Hkf_R5oekMdrX*kG)=*1t(&BKhx1N!DfPC%avG)`e$0VhX~*6!q$ty;T1F
zx#+oj|7Qg|Qfuo?DDOg0Og4|(a#yxLa)wgU!A4vsp5H{Dx1&H~i9wQk?&FE5k|l^A
z6|#45&^#S7T$NPpiItmnl2KpQF2v+iy}SP41Mz!`wr`(B<#o5@>xUfO)e!rpQ^_k{
zWs3LB_*1vQDip9j19IXedc#Ta4hfOuaA%1JIpK&BXYlH)io`~pJWOh$74r=bD)gMa
zaMx}!Gr9SEi|Fxbe;pYa4|GV
za=Ad9tmhhtiYB7=xjqJ>3MHKe!sFmfXT|eg&5gFkl5CXZG@C5@T*7Y2~@D_)&bpi<|I)s
z_x*W~EuUZjdJ*@wK#rEC~2V6-#_C93%3e45P@z*cs
zQ{O!NW*`vZowS1Yyd+Z|r&FI-=KkD)0$X>^e0^+2Pl9k^$ARy^mM=&|pe}EYUbnLT
z4(t8947Rr4U3-ENVXBSys+=rH4I{#AC{-mB3T}VU*lDPmfL#4u2%n&-@6sGD*4H29
z&HIhVZwrDHj9mRBy)oe5Ce-`$$Im0Xx!HFH|9O5s?W=rs&Yz65fWqP9pG{Hj4!tRy
zwSP;aa^2Ow$3ahdp}MA!BP_Vws23C+!Sjz;ttO0Q28$-5TlXomlhXBQr(Z9$m%oI1
zruO8YP~fI29Q%yUxc}$d;ocVY1ahgcNb-x5PSEqo{~U#)yeId8Egm+D=I9N0eb|Ol
z%anORnT5##6Z{6SLJB%Q%C6}DJ}7DTnKjE21sOy2_{KbrBJsqemRo)1V`+`x#T^ja
zyihq9CboHySUT2QmZ}CW&V6uhc5JX~@Ho-JZE){A=eP?42q|878wU!%nTY`>fLy4x
zhMQ5wss7A8GG<()#-^O$;xA)`OJVl7aKetXE~ePGHZxnC6)heC5sM{>-F$1;h!=kZ
z=uS2JPSu!Rmi1oj;m9f5-*nY;TA8X71esW3O_j!O!!C)=nYd-YDj-FQ=Vsz_aX<*j
ztv@=g*ZCPt>bSY?i{Ph^Ra+w8zj^)VXOZr3%1@vD_|G$%{=!E38?Wq@fh|x77YtZg
zw2|+c?Fqngh1WVOQuG@edDODVi4I$On=|As8lO~2lyWuaXr%sb*zqXteGZ}qqRNSfHJlu
z@fT{T3@#LSZXkYSYJL#GULmTI3)A^65tPESs;CM5@O_9eF4s&t95@}N_~i{C1%UhA7eSvP%bys_GX>sTRKwIx?kO?0xi(JZALIdr77
z6XDQa&`iuacS|T6@2faAP}D~3>9wn|7GUhV3H=VA_!`wP0fdHFBA=|$%jD*+B_mZ5dboHCJ1&+3~DL;ns@fUa3c3A6p{#RPHBGvT>qi>=C#u#HVt^U!hkznWDgVMJPtJd&)0pcl{Z@1o8G*(~+aEP73**
ztkps4mD#IW_b2lK;1A1g2K>%>!DHdw71B32!uI--j=!U6Rnhp1URLL;g`FLS1s93G
z-WWu07O%a_QO{A*vaB!J>J9ZRe(+Zze7}$9tzc9GzN2)q=hC~PrzyAfK0fUY{&=!>
z$XxvCT9H}8*vl>(F$?(xr`CH;9#2QSqUM}~+hc}BPg%Ed-Qq6Rj9%Nmt7YzPsQ)Ns
z*HCf3=k(3^*k?IS|HjI>{}hhQqJKT=m-XfB?be=4)mCp`)o@=e7H<#D$8TZRcQ&`~
zob{Gbaqj27xLeW`x|s6nF#gw@6N|lxd&b9f6r=u?`<&Q_vsIonDcH_=XMZr{}3lNV<->pGT{V|o;L!~LLnW;}X7VYWF(6U$s(!PHjFDveH>rsN~
zYZ}F8$0=Gsfdw`cd?JBq3B8YHg@K{>(z=6y##S;$WLXOWHeLif;+H0-y
ztHB<86a8v0&Ai;g3NSC3LKoIJ9&qe54vDsQUM?PT7jXlij>&yXc89jMVM4oJw!#&tNK@4`&rLqa5A1J0VUP3WWjEhMv;j6BG)`$?3_*d;`_<#ttbd
z)2z?vXR7Cdgd3|;ugtYbIsY)L&}E+Xw0^-+zyE7uCW?7g=2u`ia;AOWp~3am8@`NXTTl*$kMK~+<}Gm
zvt-Nm<0xXWRq%Hq&sMVTbxl8sPyo#uTY}4nOdcJn$epU2$;1?F=F1#@cPdUV!MV-*
zU#)HbjfsI7b%`QAw`Y}>HrQK5R|TCFu6E5oi~8+yLqS;235Rf7q0a=%nv-J+cr5i?
z>s7$Tu1FmId40c&{>)Cx>0ZPStFu%a6()a1n5@KSf9pQdXtVpL#dEczuIy}CIgw|6
z-!3Ne=RO0B}z+(z15k}=#zh{+TCtGYJ22*(}s7^~@qgek|ZM$85
z|0FvbrEIYXxW`O!#0iZnfVD)~8ei-7n`d^rI
zie-L-YHZ_6=sGW4H@|cJdlmnJzftnl>6f9s$ru0G^m-={5sND=LkIwl3yVZ6x8!EV
z{X<_!;!{_~wnIa%5oGRGc-6nT8BzUWMA3_LVln9F$1nV(M>=NblckOT)!s$g+1sz{
zL2>u~du;%LpKJ3IKH6zva8l&q6GZFX9}f>D)tASL%iPMgGtJA^jFC#kMf^*wJpA|D
zv8-IhZNt{C;nD{&#nP|$N1%@H`c42q@soe@H4ER{SHil!
z%L$SdWwiF*TmL*EwtrF6=#ne>>0Ihz*NL-@!T-3erd`98k9D}Q*x+a47!ZYKjDgNxhOT_Sp(TBh5
zB|om+FcgpNJuRDY`#%eBuW~kLcf|hVuYYBop8aA=J4zJKynqz;r<{QCKa0{y7`H2U
z_3E3&XoShz1Zq$Pmx17o-+%pj@9L*CS?MXXsLf4Lj;xvNLgHd-y71{t#X<}eOu;ds
zC<2xvOu_#5$!GmdCn^zV)v4;3lvkt&nJDnrF)Y8ROkt&L^GhBLWT77&Rt^UK=)%&44*FAM
zGEGkNiOyTGsYviwWT{Fqo}IQajnl|eG-!B|k|S5ArhzhTAC)-7m}-riUS1Yv&E(6P
zI(cA4k&{MjY0%;QriMX{R7EwTJyY1{{>-B?(=3dsh_#uu^vUs*94RZNq)mY&(Rf-hehO=D5-oy3Q$=TSsgE9t?_vX6AHcI!smDDCW}+IJBDOaor8!{>gY@AYcgXc8qBIxevR@_{agFVstoTuw6Pt$MsF@Wd$1Gn!cp}-WKzr}*4*2mLZ=yKfT8d;z
zL=l(M^E-!
zQ{d9|Ga{H-A;C{anon#EQs`=WBG%wPwdLnbyIzc1krwfDeX|&
zR;wU2Y<4J4%?dzL-e&hn1DQvnx;xIPn=717qgGp30=08evzW#rBl*m!=J%{c)*d;lrGm*lc(WCbHRX=T3V;KbbP
zmoc1L4YHT}HY;^mNRd>40uV(}LSijKE-Etxf|SPRnlf!TsMt%7>N%nQxhEn#c|sHv
zhGIRJ73`y*MbB4rnK$CGogrnN>=w^Gv`gtsrV3Idums|q>klb}#FQgE)rEqA$Ct4H
zWeah1J9U{eF}Gj%2!R#QkO=t{PDzAD-PHBO>1%DE$0jeRozJN%FE5Z-C!>cVF4bSS
zzF0GxOu*1>oxrMti#*kC+3^Ok`H2c*a+fC@fJ1i%|8tW~a9n;;iWWQuO+R6HLiq@8
zE&>I!hkFb@VO~5mPbp)Gk%xrPL8fR(@;8sM)gn1T3cF2e{yNyFIK_4i=DY^0;T--T
zN)cyDL|qpGg5~nLT`G2LdY~MpXvDo&%YhtVMKtZIDHiA?zuruWlYdma=AjznR?}MW
zB~2)=3v8xEZ;$b+#=nf^d6pX`l$8VbuXBs(bn&ot-9^(;=!I-UuM{}t_YS4gmdlg@
zab{2x&An3=L31!bWNp6baSAta#e^jE<65eNPg{hdg*F=MyynyKu_mGw#GyQv{66Pe
zTWaguTuCHFloQOiKX=c^ha*gG-4On~noE2NlxzO#*d_Mi9`AOH&!;1qJQ<3_9ts3t
zAO~W8oS_ryGnU^=9&{>;pQOL>Eqb$IY4RJUDM9oVG~w8J<;Po+^TDu2^BZFBwxa_7
zT3x5R?E#=X<(J;zTR~s`c9s~>O*HHxPp;V5=Y=c#}lE3c_PviQV
zS0J{U(~~{OXAW|l=_>N+{<9zv@w=(0Az7zZ{xfd__$CA9*HUCQv^CD@X`U*c_ny+luI{{l^qxOz-tQ_nKChEqqg92fa43XRXpzMDjNj{&fz%+AzzcyZFA%a%Vt3
z)xaK*V-@{ktq>Q(1Grr!1AcKCQc|4++C1#e**wU9ig{Sgi=zPH!<|B7`@w-#O7Ye>-7aqx`@Zv!y7k9I_FXY9NbF}HX
zzPn|1Y$X;c<*^s)*LJh;A%I{=E(=L0GUPMieP&rmEuPGae+Nd9=-X{2H$v_s;TwCy+H_Y{L|;;BL;w&}dH#Vm{Z~myiu=2wSc#KUVc8bDlXuBN=)Fur
zI29W{YnM{Q^)V|Fv|#tKGLk%(^KoYWupT1>%dUx*AHz)AxBiZl|H4&dbMSM}c`1RALhp>>7?nUp7
z5PRttKi<8Va#(ri12km>$O@Kw?TTO@A#t<-S@1~E$=l%46o?z*sq1e4r;iPcU9(^)
zm9bxgr=7v3m}BVXW&6j3W3G4mRU{fBZx1GyV#Z+OwokR_jGSz~fOKQS6AvmQft#1l
zb1~>Q7<3W8@Pvq3vD1jZ^B1W=B(?JZl}Ep7hxqSr6wpEvxkJiY0~F4%Nw9{OYa?Dn
zr2g}LSBHThZbtb!AQGD2@Cnj6bU03&_!NVoNAK)&8^gK$Xd0{}jW-dQ`Io6XvP;c=
zXya5~R^Y_ZWxc%1Ca0rKOTXk8k>!pSBV}fRtSK0^g~VRASH&Q)cLJPK0D_S!ZA>>S
zduK@i<>Zqr&mjKmc?UD1lh;0H5wNcH7&#`J*m@wF|OC}*P@Q8RRC7%=+$qLZFQ-NehA}8V^L-{nqRW2pPKJ|8W>JQi0|By5f
zBx{^I3$7(L$Ne2|B=M2buhQ~&nZpIV%+!l()Ic=-Vto9u@Pb-Lt7KfEViJx^JtZe^
zTi3r)?2JjllSdD@^zRg96B6%qq*mRe#bQ`4Ehas4OKoH&RW0ox
z&*ap0kE8e)ne9w_gnUGLB{fbQPlQ7z78s&NRm76i`P3pWmmU^6
z(YB5xNvdX>@Js1w7Nz-)_5vB!>Z4Uy*82Que?{%Q0Cz;5HCp<&J;@>d5%`?V!0Z+jWg=-f8nEgRn6bfxHJ
z+nY=;Raf@1TfnjT7JvZ3Eo-VzK30%H54TUzRGEem-VA_4pe)#{@*1=6Vq;
z&MhV!I(z76yn*lU4?vP1lfdkPQ%nh1^`&GfsO|<_O4EkXl)0@J_Tc$xIc2p$4ijZ`
zhPwT&ho0+`t6wO+p6t=MO<%8%U}f~BVX^C9L8O^ucuF*K^ITCF$oVKVrtO8-WkZ!0
zKGYKahklSUCdci%ay91Ji%kGT`D?kRRDD$+e)W2ldh1N6JlbRtaq72@+w5*y)0#Vs
z3wu3TV{)s8X0D?h(|6LdAD+;55U2F2cjS2iHxKoYW7vnqYVD@Y
zI_clgQ`8r0L!1W=Y>=5>BGQRJ0G>W|ck^+55rEh}P-DIoOlgwssn>!--C`bl+1DpW~P30F2WV?ZcK
zpc~%@`q!qiCKi4@Q-0WZZ@p_HXA@~vWY)^?hw-Ref;1}J`H8F~Ignb4Rgf+GEs;ub
znY?tSvP@c(eA~?+JgBlC2U27d$xx!MvT!d8a$7J=64h=Kv*#ap);xfT5@F(xO=sBp
z;I-2aPQc*;Y;!xq>XfO(>wlyq`tvXgK52n)dLMSpf?A`+3D{6^5SG?flK}OsLYqnu
zMfTB2uG@EdO#lV{DUwkW38*qVW~#Z=A2VcgTZ?55*=p|h=`wL$(LjSBk_-I=7{I3lP$dJvzDs=8;V(dhcA!(^k8Yo$go~GS@i&NLSG1
z9Y-h2g!ZV6m
z!wvnAGoaAL{&UFtky;Jjy{U`CCb>~7UythCek?DH1ZY3pnyDe-nJ!oR%F5H{lrLES
zzNZLcK2(LhW5Y6?U-oIYKTUmaZF<#XX+yiirZ3dq>$m4Cuuf;_bVx{-r`L44Yv-6x
zv#WC>CGS^k)p&_&OismO?{aMO+$+^Movh_tqrA4}xrn&ujb5Lob03Uooxa*=?LGHB
z_x?=y>FbHNJl_quJo@(P{-u{6oc@6^okA}1ff>SUkmv19J}Ud++!0oo_uu
zXVGaFcXB{cM_gnGp9Cd6CW_;80Ews~pK3?2(t5*1|
z3bmlnzI{KlKkS^1qBg9FUnTd&-ZuKw&(6f_U#e9t-(CE<&}#Zrqm=h?&B;XAlaQp{
z;t!uEc{)cVxU8ZDg?fZEzhAKwP|Qf|1B36VM#HXLxNIf$7HNN)dp2W8z(V$s1h7bC
z)i0Yuy8twsp{)*6Eys*m48&7oYqs)~fODB-j@jA>>gj8((BnneC*&QGh>5qv+;+dqNPHkXvNph_+IPY+>K2c|>(8?E
zo)6dmOQLygem$k@rq|4$!3%xMYrNm*v_|FZ7u^PqCubqAS)@h5oLPY#YuYw%67Lt|
zSdo@xHhpAl4iSnHtbv+|MbBr$XYAc>P5wKp1`vsN9J&_!yZ<50z(fYi<;n>#eaTC5
z{H)V|sSo%9NFCx^A1{^u{%0e
zUAdve9*+^U#W1XtucGcXeAv;bzj#v+`eRNO|8M>#(&sRNJ7rgA)cA(6Zk_pOq3EIj
zqhNO=66!PM*z#oM0|=|&ZEg>cRGV0VN06X=$Td;3GbHc5@kt#ss5ns8iKOjTXFv$V
z_s1+OL9_Rf-Z<&L4;fU108Mex6sl+j7luM=G6st6ababyQ+JPA)?g?ONcJ0hOR|-&
zA5IW1Ep4IWZK}sd!!Xvyd-`!}rhEY?Qv(#6<8v^uE)e2>^3wXr1b;!wx?rlmQ0BUz
zZ|M@kWlTQV=fJy1ONGh!nvNDE@-2(wo}hTS%xpA85bdTosMp{FB5vFSw^s%S&sjcj
z;*UQbjra3{nJxU#DSl{>Jnh`#h*nG4DXxJZnkye}Cy!0oIcm-wN^E#WiUZ#LxO_;$
z*U5P4p%zQYpO`YD&7^{);6tcHbN(6soqlX||Mk^m2M&wjrJ|sGZyZN4SyWQB)lK*Y
zyR!l1m&!=M_y)EZRFB!z-X3^{&C0}+6q*wuc#<|4t6LGMmn*dig#r>kp)fW80F?j#
zSc5~s0Q?95!A0>cWxZ55ucG%zOL_nQ6MQoa1Zz&#Q1>hznJ&M52c@4XYS~&fnkDbl
z;62(}{X7pHnE3?5s2QiD!dF*EAJ)Do#ZuYCtY)i+3WdT2U}agmGqr?Ds}ifWhPg%s
z0naQEh(fsOh{FnEyo_E}TL)QPtcFLx+
zWxb!ytK>W0`CxOHA;qf#W+tB)&DRLExLQ#6cCyIy)~Q#A8oMv+oPM`86%sQREIps!
zwaxvuw{ZW$hu7D&5NF38X2IX76q@z%3^Weah^=(|w>4F1{h!Cy꫊MRG4E48|
zIX$
z6Sr>hh79G$@KKQsEM_=9F6XFNLC7e=5~Lgg~6;u@`;+oxtsE1
z!J9ZepxpEp=f^Vsc-RuKb=x~f&?QMu%RI=}d@(W!b!{YLFf;h=_oYyt<{X)vfZct9
zy3CH`3E-Es$)vXC5`<(>@<^bR#owmwr@|BK}zy0<*igcdje*7qyB|(jYYbwU-H17ZWlc}srDFI#{wyfzCBm{+j~~TF0plV
zd(hzPd_fyK_e0@#24xwDH-8=snqR)BoyDf`S1UoiQYUr{2sYUFh`z5PHI&GCl=poG
z+Ozwe)Fs*T;Z;yZTIcH@oCU7krI(`Hw=nk5pIg$e#$Ilu#XZell-phAo_T3Ct6^1a
zJlOHB>0xxj^=hf;M@thmuiIZzl^#VU*q_Y!ZTgHgBIoSQj)*5VL5(6(JCI!O?vIip
zH&lBo{ws|AW&&3mK!U^H5Dp4z-|ZjtJ^h#YF=OGQ+LuRx5y;72Ip?04zNIj2Q+tu#
zz?e?s@_{4xii-_fUQ1;R-fPRtv6v*;_QS;v)%M%x&o9>Y(%GgPpMHzoX(GWC;|XjU
z1Q2&L7Amt}7a>daw%T)5xji^)g^->BU*!?`*Y=St{LAN?5x;(^&GYN>K_?#`wGa}8
z42Tf?SJF$M%owzM+dv+gkyLTmC+Nv7^UlBYGZ)y563s0;kwD?M%kTF_ge3rn;(Qb)
ziSrQvs04$!EuBbaYhcg3lGH!+nOI!Mq7
zS`9RaXNEYZ{*K1eed?;3v$RlTu(|c6>cy6%=x4K{B%-NRMIBpmC`io||DCCLCUe9=hL>U#fR+|UcMVrE!fDS+
zeVKbc=mg-rh;xwnEHu|VFF{gCiS*;~5*bTZQ91rs2GFeIm)4uhZ`GepHu2mAWAhig
z(=L~?7c5RHb~{Z+2*P-vnEi6p1x6zF4+Hw?g4~sRG?hr`Z=@95U+&YiC1`QwwJ=X!
zJ8mC`d<~Gai0e-w{{2|H$KG#yv=uj$_I^lvGfW>z_j1J2PqfCZJ^OR|@zqz&Ud;eW
z7Qmk9K+LkEstq$I)TfJx!J`l0HBU|E+*k}U=`0*?axGpU)bQy?z}}tLV#CD
zJO_`7#fwW0@%M@^%GN4zAI6%EIVEXux)aXpOPxN=Bf1J5t}t$3lNJVh4Az3s!N7n?
ztnhE;eU5s@XRDJAY3J~q0EvYcf}Ko5;>%SgK2Y~^CXIB85;V}=OlZjP6eum0*l=Xc|+2Hk7xWJqWh7NbEdKpf2hy7q@RNgRN~f|
zH0Axd=^`!f&fyiMEaq=i92Uej;NcBmxK_CxM_<%cnB2eeQRM~_&nJ6>rc(fFun9V=
zrnwF}5!uUj_&qWrQsC0v)O?B0N3j~fFZ6>si6A?&1keWwp4Kuw+n(}N+}l&yG3{j4
zs4O4-h7QA#8{I4YawC5tz(<`Le2dA2=;NXwVVZC#D?tm~D+m5kAU?Y-FrX`e+aA1>
z1%#s+eem}41y&V)i>Xhu98T7MIjkBEcL5z
z)!lU!P{T@s%&^dA&*tQBSN8G$0!yCqK0UpdG|F|Jf31ktB^6*i(#*@l;ZU~*u$Eoh
z%t*iTE$7eGAnLDouT0wdHO{@vZS32#-e6TElHn^oe;3T!ukOh!yVAYp7pnHRGV{x;
z`*5whDsQe0jEp|1_f0waT*))`QYz@M)W_iY*E1hM>Cb-0PaB$gM|Al%oNa{n-n9JQ
z9Ur%0_hny4@N;r-N=}?<2Cm#CHc*FWr7dAA&ju7PAh3U31w`rza8>Bls7un)af6*2
zv9H`BgAd5p{BLlN@bltt)>OJj&)D5RN60qg7ni4;z)=7q^~yn{97aF@5NxK(H1eX1
z&yp7A6=Kid)RA*U2~spVY3%D4AP=Ac4#xj=P(QAp`kQ?9*q3dDOyE7ZhJ#)+RTH&^
zb7Mx3u4oz91L#f%KQcHmaQ#&OS+dre5ngRmrMN7T5XSBqJWWy}jU(EkzJn(qUtiPxwlg`Z5C9xe$kBxq
z8UMH;jQ1&lG_%7iYdgG8FXJj}c?vs8WGOu>422|5SM!H^BX4mWAflM*VRUQREfOxu
zB5V5g>k;nua*CqEjZO{hTa4}>TDpz|Bn$|;Dg*mSM+&ziVwf-+BJ^qw%o(8DlT*+c
zS8pA~XY{!9ML8uT3-C4^CfmtpDuCi(Bzrjp*psu!wL!B06pI0n<<5lZkzmh;Zs~*U
z>mWMM98`4cv$*^-L===NX4UpFs5l+&`}k}*2WtQg%X5Kwv_Kt$kq!V5!(;<(5mR?I3HbEbx0<5@%$X&`ADIk7h-gO);GIAwGCz{sZoa+3$fI)GdW`-v(MD+5q5YtgZ6p5MYhfI1*~h!Wvly
z4O^6SnjsxgGp{D5y}m+-XZ2vx^wa=;{UuXNL*z8;-C>GrAel9g?NX)N2op<-Dr%?0ze2B&kYc^dBz7D=l
zw#0&s7_d_S_!J5(_O9;6KH}OMYhiV)P6(?(JNt-2A$nIWNSfkCET;O)R~$B+ILO(O
zxE{D<^6jD7<15Bb++o@bs7oYEI5N<6&GiNmejHWA6g0+AVF6eV0L@kj07XpInOQG!
zjeJ$D@@wRKtG^mVy4_XQ?|%GQ1c@r`l+UwAv-0V)SffkWJdn|BFvon@`AAp*k`+JY
zlPAOe5{>kWq(aGHsKa$=6wGoToUqSg&;kuRDoD-dE1+P!NMoLlt5lagJ-2FaKRRP8
zUqyo|@wj=w98qq8WvqB6RPe{e6H3=yQF*+1P>nJ(?IBhJEOHrJ3CF2%)*}PAppQrh
zAhJYZSFJ5MTGb`?+|t7YIjfVxkJ1lJlOKv&id47&$NTne0LtyL46^CCoQD9ey4eX8WM}9gF#C0>2zgln+s%TP+Lh0^l!d;-Bwwt&^jV5U>l_P8cZhS`5s-1q42@IQj~^!DKrw54uOP04?c}
z*xHicb>bb!GJySeg6B(-bd#u-_@bU}Q<9-Wk5R9^BRY!G7;BG$p@1_$+0*0b=y*U<
zjsQx_{9y-e`@;2X{s;isGg95^GHt#wnBOi@bZ>>8V8wHerW$(Tp7}c21_0yDqP-(w
z)@9J(cVPgLqp-0PJRNjntryM>(;*^S0CpZZ?o&HGQ~Y&Z@kPU5`@pex@@ka`@69Cz
znTiMf!z+#vV=UfNY98qF3N!^)j?gGT)|&TaGg#b2xRb30W8%;%4k*>M9)y08S;oU1
zy+J!E(a!fgDMunf7vwK;DTZ_u_CUlW!2a5D{9}T+vYw9LqvbMf{&Z%`NQ=
zT~uw~pnk9e&F(XjGZh$P&bI26~A|l)I=9hLBk2D)1?rBd*gj0gzOCPTCx-g-6p)*&BGqTsa+_BZ4;AR)F
zqmXs>$7}3QBiWq**07e55V`Eb%i0$oXB4=Rw-3g#6JiFO78}BK?=B^M)8%vYdCro-
zGK&EGm`_+FUfyH@ct7$5{OQTjEmo@=Ci7-{EolgG<~leDR6TOhGFVi7a9m(!mG=pB
zX0X^ZS|hF@H46ieS;05k*^k>~1#3@~9TrzFXwdJGjBcNsqEv)m0mCb%P43CNpCh;sy1+c`)6zkG8~t}NVs<(DsZ$&#^0&vcB0yfR-c
zFnoPl38pRpbGAm_+-7gYE?;4)AD4FK^!VA7`)?<{S&w~_pmXOUuKLs=%ny}k|1EFb
zc9q`3x+w-TN}U3LAVfykFbnXj8WzcTKsX?WiF>Ie*4bp4I^U$RX1gCx4LnAW20v~+$+!OXyEm5J6i&Q
z#k*|dOiORSp*V46t7N0QYA%sYTkL@3)^S=C{**oc@7>
zulf2q*$4SP+-_CgZm0Gim=_uXE$`AcM5+UEeRt^e>XV%jm+0Dx>T5Z>HORq(W6IIi<0-Fo)f~tc
zYw0U>TpVvYlrs78&ChQt7Pg)BHICQx%bwDtPDkXkb|}*r7f>uCB3omBDE!K&f^
z|9Da9)i!8WdBfKcEfX~Cw^Sm+7PSkIey~3Ha^v*8e8yWT|M1fLA~*m2Fb1vqS+nM0
zS+5XTE3J{chG91dEH{`7BbR{LdiBr$h^R93N%0I+?~UP$W^
zkLQ0paXQVBxBe!S|J^zL*N9y01Hg*CzCm%%A|&)WKK=th*flH##(BytpRjI{#0fHp
z5_AaYSN4$g9e@)papvHRRl6l%;^tx?5rv@jFeD!*uBI30qkY5n*hOqRSb%6Hk`e92O^gZnFO8oe-b5Oy^|F93o0Mo@v=^`h54#wO`+!
zP1<$N|136QrBaVYH;fSIpu=CSdhVr%8J2|`X3{;aUBF};sMfDrRMi9$Pk
zGTG5`IeW~bE-@Q%Jxt|Jlqi8OQs{~6H49q|2V9DtQ_wxx%R*(
zo#Y%ZSh|*KDatsr>b)Pem66tTr6s|Daq3+OSza-&SNv)C{;6Jwq&i0sm#>?mfV%SO
z0G^7oyNTR{;2-=PE(+C&7hf-{)O}&7!Jg4n75D80{
zC!ma@CvLrcvZpC@w*Iu_&!g9Qb-(SLr~$D;B-d-@Z~5#Egc8#Ypuz(z+5j<8#5DvM1w)!GyOPd}B@>inXRoY{jx`bQg^
z5h0W4HO}FsYVd5#V(A^cXDE#FvPzEo8U8~>>veu$X2WOXK(&gvaa-Xl0Pq5K{+;Ct
z@p@u_S3rLPYQEr-cDanTz(~l>(dm&KF4opejwF?mK3@|>N8{Q78x;GsvhUhv@}+J5
z95##0PhZh=hw(c{yliSTEFqGLSp?gL;eCjA31Wh3Q>rtc#euVM(x2(bD;!-sILXbv
zJuOCPyNK-_crJ37f0`|TP8Enpv#JIAbHt9A!a+z5a##?G)R}lX5(FnR$v5UwxPo(e
zOlh5}3itwl;qXO;f?!K)NsxFZUP{BQEA8sNzE>v~QOasGiD*0>EQ;5uqM22qL^6mz
ztMSIYb!@;9&q&ERITi6@ZXoATm2hcZ!-#aG*m>G4R
z!OnMlr#2}8Y2834xj_3=#*{xN+3BHfgv2xK5AJ9F?XQx}vCQK5J0Yzj>k(
zNE&{kBw^6&;wiXmM|qzTGh0wA&-;@nl&7kkdsI&A){gKeZaKkadAiELZW@{J3Dr(0
z#R@nOG8JEvI2Gg`m~8h1->u4?uR3RW1M@OTJrI?92vzMYm*>%{LhdLLW{4XW9hf^L
zd4&tY_gZE@qNSrD9`CL0CLo6`%j-{Hkiko9Ge$woO4+4`D(RYu79KNUZLt(l&zTM~
zO*Pu)_ItN9^aAgoR()IyJ{s!Us`<6ejS<)B7ki3$j{fC2|Mav>{4%rpsFQ`KwFP1-
zXekPqQ7gmN`mrs@rG4`@woaFE=bS3Pl>LsIK|%OrLz{*>uz1PPsO^xOM?1N*2iR_B
zX?Pg!fp5~`v5`hM)ATi4hB97Ry48F)Uh0x_LVXtL4@AWxT{npH@7(=gAlr;usqMrm
z4{1%6@ju&f?8hp@c8Gst9!uYJ79PZ5J<%t$t(d43gqw;PDlGYSW;?^?zYG~`4F-F_
z=!2FeBk&*h8;W0%FZ-NOnMU8RW}>{!YC`Ru8)WK>W9AT0fw<$}C~@E5l`>|MEv&Pb
zB@>mMR;EW%R*S$Dze8Fzdq_-v|9ZoMeZ$f(#UirVFViI~EG>xrnWJUDeDU;4G9g3m
zW(`D~5IK;}Lz~)fH95&uMd1wVr3x}b!)ZHXqmoRs))gHz{n|`
z2hGrwTQN!7icM;{g=`Sq%jS7w#b>ad=K0mcA!cy^>l&Dho9#w~9Oi`c&rpwBDXev%
zhbGOuu-Spr!UKm14n`u6&rMudQd-a)FQHC~Hq(Y{U;UgfyYjey{wzDKCh@e<0m5tX
z5fYd(UHi#|$cQRFcl{2V9#&u|pvjBv%GuXrwgf3?i5p-wX*IYBtX?Wlx-^l?;!}2m
zrjiKpyqo?NqdA|Lc4)unoyWM1%VI-qzhwNxQp_V9j>$AfM6N*qdrEzsTcr-iYL8kt
zeEJnlg(q^t+j~r^_FD8rS6F=h4r>bYZQMs{`*)$A8&X$t+*Prz`DbG
z#YO?l2C(LFT@O7p5u5~)Of1D>YAs9N%ky=$DElsza0Y`61QQ+BG}4jq^45$Sp(%O}
z1z#%}9U7u)2|am?I~PL{tB)U6?B<$r)72R);Lw~*xy;Q(C?*r$?%
zLC2x_F>i^u0>(fAb9vpv3bjmTA!pcQg>19jU}O6Gz6%XKKLX(pDY!ehHxW+NjAVQV
z0q2;BvgjNg%>--^btL70&MCK?c#jfmnK
zy)S9mjcuXsOVJqS3z26M_aU0=mL5|YWF*oUiZtHGQOXQO4IX`rPaEzu0O*wAHKh7p
zYDXh}HqDKl(j`=cmO=h5dbR8;KNZ_Q&GJ7Q%?c{?Od|(X@@Ey2hZ2{*w_yrsEuI-W=5=L%OzJv
zKBShZ9-8F~j=p5RFdC@F(1D1{~bx$j1!=jzm&qh+tex
zCmpNGq1NV9)SebU_OFZgUlTif{_V|c>8Z0L93Q6l8fqV7ImaYsqPz+BDKh0yvu_SG
z%o^D7F!75p+zzWm5~cf4n+BQ?Vt*av)9(I#G~FOSS<~4Lrks3Vk&bF(KjPA*x+&5b
zW^nt}hPF`(XFk{-1G8BK98gt1x$S{PnhDl6>aplzw2Y`Te8YVdT|K1MhCUUZvh+|@
zEBsdLrRoSU&>hK%xozW~DTv;paH1eOC>N8($KI0gv@vJcx4Y0R<=t6^%ete*-$$vB
zEYeU@?+oa73=qRzU^Ia$zf+l+P0!30R0GHYkzhF#L~arCPy+s_qM>QusCIyv2=s(j
z&xuaEChpHrf~PflWK9mRANFM3D<(5F=jrm6?i-*J!62PQuzH!>xj_gp#S*>-H6=oX
z_4(X$xFItw;nxM`^;_A0&*vnd`Zwkh3DsLyg_I7-9|@2nnBh$9bLYQKRHBz_LNz1-
z1{8q+58(M|$l_1BMIzdrlJ7!s>6w4tm`s@DOw;U0>j7VNw>RL^!jK^t5~n;_h|r(w
z3~y8()x=OaJIQBbz&Ze+Gevz^PGtr{l!y_46-N*(G!HKJ)wj{7vBZ5x0utjzbzZ6t%AdO
zIP?k0gUdJ}$C9(We=ChnAwk>>a>W2#pXjNx2zfHGVqFG#iJ~-wrVdLkzrwHf=LqXK
zjZx3Cs|6tJ#)mvjM%{LY)dV4G(GWKj?I<}K9#;aiPLi0|3c`8?GMjcCv*mMdStj
zOSf8nEp#_c*p&`deIxqX>`3aHJUY-tD<7=%nkxPs@;(S2M^iCz4Y;stB8X8j8fA1T~=D*WkPJ7F_o{xqP)4Hd10#U97+C6onl8#sEd-
zyG&=`AsUGKy9Bf8L8t+dYG`GV7oTP$Xh4Z<5ejVJ=5qILzr$XcdD)QawY4eUF2w)D
zjas%z3wC2Mh1z$DdQU@CgCV}#viXrLSQHq8hT0-$e^HcffSe*_<RXg})?Cb@#DUkHqt}X-SLAVpmX{{%lcORS-fPqM2
zmxsF+BQ)S@e<;%=KG#BxVBOSvTw(uc{7GeMzPb?YDUcByBAXAfU87kD4!3}NZ~EYl
zper;36s#zOdi7IS=Ay_)2ml?$!9G%ynI$#*0flwbX9{y?|5-1;wTj_`>&H_x^NVG{
zP@@*e(-m5}LICa1)bUW?BiK^+HsX6#?{*R#HrQ4lo09KqwWQXQ_wbX#z$YCU__sZI
z_il}qb=x0Yz0KD^G
zP1*`Z3m%P@#$jhP7{}jWeXJqaTXTcebVfwkR9-4Q^#&9V_!?=o)qxyFaOodB+j34^v@#7yjxuRUH3w_8K(N453EB52w=hRut=3e*Z4J_Y
zVVYSdTDx`25`)XWoF`n81at=(pY1=tZf_Abs{d@+w6~G#bt)ewzzRfNl;2IG;`8k3q0WrrV;Auekbp_b+2RyASGJtFgh&z*nrj;Uk%73KDmjX>fjx
zDplaslk#$GUeO;kTadz1c{!;=3$fIysJ#farE5jqV)26~2mJ@LUL3n`1j{{Vvg?g$i-!>tTUL5ZvRSrJGO(){@
z>;M{uPL(2o<(`iVi1bUG+P;_vFE1AL_#adE9?s++KYsk)j2+AjGiT;}mQzlljZMxW
z2}#apax6);%`nGC5<jk{Gvn;JRm24YKZ8S3ozAC-Jfip{_$GBX{{Z;JP&n}Ui%-ZGn|FSYDt}(D
z7(LB-XmgaFDowXALIp9xt${WB=rmKtg!++BZZWmmdlU&k^|a`%e|w20_fy@RmhQ-d
zb?|ZCmjYhi%DsF)Z`|(pVD!WKnR{iw%az|vZT#;3=$pzPmhwZ0OFNPJ0nIJsq0zK=
ziBh!Z#!QuV;@>Y&_I>6H*8hA-JudCyHJ*X`6f6#`ZiJcmF@3yMMtNAQhw5Dkl5zeJ#S9l0ea%l?rT-B>AYUtQhB|tuwE2pCbV$`e*
z6sVnQjoAF6I9#L~JkezQ6+U{+AlPjau489c0d(49Odj%1lwn!gwF7-aITCN#>k>W~4hk~1C=<-(Cl96lyE6FBTKLKCgHWpOIAFzPQ
z7LS3Ld_=TtrnTeK77*I2>~pF0S+cJT=8FAFrba42wj*_A3t9^SrJ!R{m{~u#a-8)p
zx6t~?F&PE{VXTlx8p0Ik6*jUkqLBli`@}<=D*MF4*}f8_y7tOc_u`11Zp{9nr+5Ld
z;p77w4UF-FY0s$aambn4#`wNd0Glx85%^*0g%*&#qzrTc=!2?ki>%eP^P)obs-^b&
zB>uymc?z{RJd;%Gio;Blg^1df+zkoYI%*BV?I6I-z5vWrCC`!B^_@8&AVJunvL72i
zTzO2QK51skssbRxW&LqZ1Co6eQzE2G9UFEydzAw(&kJy(X9ypTAz_Y2{nC82n0X|M
zK@^x0bvx6*qKUcm&d{)*zA!!zt+$n|RN9>i`XoY2--L@tyR+Fh{D>E20GuBU1{A1(
z$)|7AE!--A?bh|%qQAfNM>`vF^I(qB7mvvXqZhd_Sr_fJUhHqx0ssuF6Eu#*JjM&a
zg>Q`MzPt%;*R{7UyIU+CY5n+yxXlU7kP<*6j7ti^#nVfL%6t!%VCKd8Ua6`s?eqZT
zDwu3v1$agkYxth`Hl-5=2%G`zoUv!D+t|XVO!ExiUHs*a=G~@T>iiDzw0(^PscS=hLq=HMId#s7tTO4peX$O_1&`B_~~&;c>aw9}s2BSdA;gig9RO
zN3D|g^buwCQl}&B-{3cn`@@ZCL^Lk(cWw3
zN9_ldwOB*WA3w|aGBcUPC8!aNbuCsfg-ABc)4#)lxol+4g%}y;6+DnzwO1y}clO0}
z(#k%?-2S~=3kA?sa^Jjef8#LPb2bS44n<&@wjHyKF-5+2DYBZ&1>7>&Nf5<+vn%n2
zTD7Gy+0OS5oAM#7MJ*?Ptz_8i%Z9bla3|b-pIN)K?`$d3O@?R=Q_xQuNSY?b
zQ0bZXwZcCcXRN-A{UA?26aqyCM##M$Dfr%2U~h5p&{vv5;?2PC;{l~!vGp?6i%?QH
zReHC3=cB}!U6S>@)5TYK$53$F?Ro&Q3s7ZiDSbSmxW}>1sCZE#Z;)l4v=<~E8`BH-Kb42w
z!SkLg>BfG+Ll4HHEhTVZ38ijf)k{ct60YFXe>-)^BRO)GM^2RixGE{fG&y-Iof6He
zrQzfionXh~mZ=A{D4G{=U<^5p`dDPrxrADAR!Th1L?F5QvT(7J%{T44noXe&5w@ee
zGmP8orXx+kA(oijXxfmYFXG9T+&%QeC&osZP6h>e^A`4|JM`P&$^y{%$=WbFgCpTQFmv>68M%v@zV=>ZYD
zm(I)W>jR~>dFsG>L`+(F)?vMcQ+IWyZ|3QghMrM49Kzyq23g!QsLDHiAP5Lma%%#I
zpPY`UpUn=s{;LDeb7TetKV{=?yFpdacBk;2^icwAiFrAW#5vE9mB%CR!_Kd_D7;^Q
zKYbw_JK^+J@lBK<^)!lX@F-CJGML;2aFF%`aSku6Vx^aUW*AShYR}Sj<8iR1Ucg7d
zj{^b>Kv2EJgMiHC0=tp+*!;N5UYjT5Y}_J>2Yhr_@rpy|J+!{&6x4;d3kb;FS6}^f
zMmbV$TtqW^5n(@82|dxmC4EIUD-5VWMHjgw$Aq=RxNwHI5B@*c72Hbpi&%%tLD%*L
zAAc(;diK6t`97)Jdm+!xYPImo;*mr7JjY!X)~SJJqslJ4r@XqcOn`>nY9UTkhJ6sx
zaj<*lAmGqODGbGd`FX|-fE^<~m%TM7^Fx>W%e;DRq74V7M7wG-2vAxB_qM9w8ACJ`
zOPx5S88uEd<*iv!k>9mcr1G5?`YM*lOcC+As1gQC5uS9o$D)O_z224LBr&{~
z8?dkVGQOXAeW{Fsoq3@`d-q&SNH*I-6XvFgwiIfiwC|?sL_6tVGL70H5NBelfT!dn
z#c7X$*@eYv5-w*DK7Y$~s5o}v@9|Dq4)`0#p~W*VVuA5gqB
zgbT%Qn_R~KufWRd9Rul8+g6qy!HsZdt1?EUw+S=Wm08RIu@-_Hrd$tHlpReARe6)|
z1$pO7#Bsnvj|woutmX|+{xbk}u#KRTh8E;csyroKK4ataZuaLy>7Pt-*E~@iOV9-(
z`-pV~M3%z{DIvi^bk^#O9cicBeovSLk-A%Po7-dbo;~4VJ6V5=iJTQa1M*cj=TBO!
zv=6DiG={FDACDUt6l1ge&FDI^OIH^2q@7NY$GF{mN*kH`EG{MF>+Lj|)zU3{nlg+miOIdc83=)4P${ZH&3SlgdJI$WfrjQm`GoKi>
zL7Y-NgK~iUbMePz@69YB+nCZgYP6h1rb*DTaf*~aMdnW`&W9+8llnFQb1M=j{jp(^
z>PeziY@ypifFKEayM13VU7+He*hBqAY4hD6&*oTCHuZ?dOaAU{)Cbi)zx1Zl)2hK
z$S+YXQKOb*vTpj({PIu|fJ~Uegu?Vjacc+(=%IoEkMo4BNFr9$qf1p|Slp)hd!>xG
zt+2y(^p+eh8>I8AJg`sX4DixyisHT<+C$5EzRJ>LtfCuEmX0j`of7u$(@3AzsC6F|
znImI2D2hl6T%rrko+S~mO$vB{1-pkv^a_6lDcIAVJ3|ypEo61=W09&#MQ>@}x&v``Ny4gd5q5Jn69s+rVTvYEOApfX)&Qw8)~%XIRhFzj8nq9?
zvFp2Wy_${v#{&pGxoKXYkG2iXoJ`TFX+h0Fn5HZxww*HEJ5Gdf0Ry1*Qi>=WwDJb5
z2XGk%P^C5qsT7MhrC`m;ZdFD%F}hnkz|-L*ZAv=qT}S%h?3Pt2By0Qz*!C>X!M9ms
z%QjJcGe0lA4#H={rXxp&)JSo2@>cGrN!FGplQUBghx7)(LVn%%nmAiEeD4P>l#EIh
zrtkaF<@u!)!y1cs^YFv=5I6?i`AqajE2QVn+^^V1v)YP0<|vV^syxY(Os4LDxwJPZ
z*CPS2h6E*-8;I`FvL_U*@U>D!?TXXpqI);KyLQWQI4jv-O^^S~-Jjn~>iedPIisXK
z8&>;DWk3Nn;V3Fk;vCv9^vRySg=`=rN`axeQK|s}r)?=~Z+!{`2$}Zt2U0v_D@`pZ
z0;QQRJDR2H*_jv5p)aIyowNGh1#vDVm}gRysXO1>Hwy$DND#|X$7T&SLGmff?J3A=
zh#=kuY$Q^J&{onI>M2Euxa_b~3VZ;Sf(l`BqggK&bkuv;--e^{SV$Ef4gYHTzDO8E}t12;cvD!axCG0a5<*5bQ_>e59IC~
zJ3N0(!jy$-AoI|fJd#X4$y4g}57lqcWNuzh3reF;?9;^EDX0eE3syz(V;?aaRJ120
z(11Cmu)bP~uo<1xIYk_2Qeb*}SLRh*4qS~x)IF^>);#dzNB
zH%Qz(;qF75`%vP*%<*B3B6FS4Cc?1?whx_%LYN$!o?`SufGUaf9JsZL-X#I;whA*u
z4ZTm&g?3)?x51&BS19~U(!+TLFE;3T(-)hw3AWpx?F*tdCytrEqOC$^r%uwmYlds*
zXB|2Tp2t}{2jwJ2HE9nqLA&;h-qKljm&B+g8QphJ0t*)15QqS{+Q{8`1nCGe3{40v
z$RznlxE=lOs5*A)70s@3gb2jBeGcPo*l%}ynEJ}AhEhHXI=#jEX*4Ei+0pG{#dAVc%fBz+6@<{^t+{QZ^fdBn6yEjj
zVX*?2U(sxrPGU!mf~2+XF#x>x*y8Jux4VISNZm^w4#8)j`yyA`2jM&o4%Ktu0KL9`
z?x=xAu#42S2D^T?nFCFfy=$e-E4>T+{IH~QaEnJf&gDQ;Vs{^^S;5V6Zr0r)F)cJD
zLr87ixEi=;%WbJiO8PDB$|-tvG*y#!QseR6Ay-?$mxfvA`ceea6d!S40|PQ+2npAX
zLktjuvZhL|CFz6A{D|YGyVeT(Ur7q}uiRs}9THP-gO9op&)VBd>z|H#Nce$ro`lp06U*?7E$+
z(V7eK{C2&Hs6ng|NXi}Dd44wGGK+WHLOU7VHs3F3@61%H=?
zb|*uu$=qzhSxlZ(i?#aLYA2S_p?c;w$*zSz
zyqX_?ZA$(8g~cxt1NM)l6;Da-^}iBj;pn$cOgR_X5OF6u?RQ6IPBpgi|DoT}nVjXE
z4i+K-Tw0KBKKonB+h7fPVA=bnXh--RQ=hQ@!;*U-ThzC9F%2u9gP$}gU+zXrKsP4&
zn#bq=a=Vyh7aBCvASV5lh4Yd;+?4g{k6m;xeJ+D<$fUiE@XDPnzA|O)0~Qlq{-NLB
zcMdXb&z_BfSb3L}{gF9_1Iz5v`CW;lj>Oj+R-ZcX!|4+2GM
z)4I4+ls=q794p%)C^eV>5tITtOA-Q}xUJggsiD}PbbokmnDF)033v>EPdO&pon}tRHgz!n
zXeaL4MH-__UHkIF!Z%Y8EN3s$H~aBb7P~BC;poo2g8{
zbv^(jHh(zJMX$TtpG>E`#Mc3pTVQ}u)+DzF)pH&pd385GJj~w|=%oCo
zUEK%|pp6&@N*)yM24Yy@l$-!hP)M8=?z%Bh)KCfI*cb2>Cxdp{1JSYyo}%T(Tx)hB
zv_rmq1;%%+j3XaKJ(vPZfYz)i$0+uzdmJy2~o1ha?q?Gw>&
zRyQY`Rh?C^=C68JonL6HpXhp892flZHX$7=)oJHa?75Dmk*r_5N{MViLe?_TfMLKu
zL};a@{VjvzzwdnhTkzqugYo*GJ1k1%j?tV-XxBN>grQfG
z($_&Pm2--As~TYSYlTN|U%CAI$LDpKJ5&0@3*2W|G#rVImT#^@b%qGd@{FhCYHk-*
zF%93)Egu=^XWCUX>l0x;6!2i9u*C}9lHY5$s47FrJJGjS2MF=wl5SHuusI_3Lws)%
z>KODYBLkOEOOAPg^>g_=dzV4Q;)scMg9WsTt?Gra)Z9mP`XOk5(IB5|0V$~y4I+cq
z1kJQ8qAOJFN(JE#Cc9%5_!1wO(s7kpl#qR*WOc?Pj&^mb>OtNjQzFX9kyqLp?2`>v
z4YO60O^L8|P}Ui7edS>M0aG~{6suI?T{T#f`k#+ylS_BZwBM|=1a1;@Slf^g6Rx{O_}Lyl!_r4ZNRy|64OsiS8BUr=Qiw2c6rd}LQa}KWPqhnnVIm>4d3Nnq
zj8;fGpp2rR
zVVyM%5qIqAT0sv8z37JpV1VTKXVz$UWNFHqlg!<(iUdRbwHwc6Hph*^Y
zQVXe9c!0v&M+fDx9ssNl`ya3F`CO9(&%XxB8&1TlB)}-}>rKX3HAR~p<_zN!WdcRo
zuycw_CE3pkMF?=m=!>Vv>G&CDI@L#xFPLFTd84c7{h18)FY4I`oVrrB4_pUzSPQ`E
zIPCsG`4YWQ;``Y1qHH;$*>4nq>4T09to6d^FA3xoHM96Ka7Ued2)~vK42B(W{(F|z
zNEcp>@BC=%fjN8!phO)DljC~KI`=E(z)kSurvtsJj*B`pGKJ4kY#?@&k&1IklZ)8v
zmI3|je;TTkk*dEU`zcQUak4LZ6xfGk8~MosyJ<&lGrU9`$HWgZ`Kes9ehA}ws6uG~
zDrLrnm+l0mGSA`S9uW$Fhmwr|6IGZvfJe(BTmZ5l^yjSdTQm{)vq}XU^IM{cd3x-F
z=`jUqSphMJ&{zbu|4543Vmr2|bdm4K7(sLmC(M_mA?|5kdB{Q+VL`(oL!DAY!3S=5
z5drtyT8fX`;;0s1P3#8=DM0$m%LxI90GBL8*4`MVfDbD2-IE7ss%XuIV8yA@HImL&
zqsqS=xt_|wSoThu>O~*k@);S)#XV!K+C^U82d@fsAEZiDAeHVzn8L{JF3PS8?!1#C
zAu&@xp}`kL)}EK#Z>qSl_&MfOVRndBrTEFeJNNWmqy{`yCU3}Q`#=;lWD$LU&1okE
zTmKds9zXsu{EG2W@gT}~Zt`-|BEkWX!W(8W{6eVzeK=Aq
zX0QWI{_vO*8Z^@sJ-e-5yxtMm`2(!no&_&14^a6CPSv34b@D(QnuX
zCOUyk_R-RqmC&k`uwf0nv(
zLHV<6%(;Wma~)0=CB978PrrChMR9GU-z&Mj4y>
zrGG9BEmoksDp`OlO6SAPDz@aH0uZ4$J8y12CFDRdma}36T@_BFfao;sRMWC>h5hnJ
z${#i#`Vkz^>Nq05&6x^9-H~mHeIhXMuplndOU2qnPo|PMyPe);r#!@0GjY{UbZ>_xVgg+_PKX<7oAXzB9
zS5sE)b=DXL7}*PU^mz~i0EM_c3|+79b>_%LIeckR{>zgeilK$2n}_3mrvh*+t@Rw~%xOv=|hy12!aou&H{7TeacRPWx@n{aXR1qmyrOfAnD5<}6KTd0*p8
zI9lx`bXGcu^PcCYh}aiSnyJ^4(4rD;hV6FBF{0{yposNqdT30N^vYG~M;0PAj4P^=
ztRIl>90>KQ1`E}e&A%W=jPU;m
zqi(yym6AXLA2r(}xY7j=rMBkal2~!5U`+-GiS+$*5R#}`LF^-rB_dMf@2DwFSMTst
zAp&;(MWF9gjp{Z9>E7W|^5zct4ouF`ui`->T7-^0=DN2^LXsAuX^r<+Mm-Fa?qbJv
zXe>CX5{rq%{d2@E;gB2><_!QxZSc;JDJs1xZA(0}4D+o+B^_Y&c~DlBZ`NLabNo;a
zVoTP_7hQs^058UL9qL9|SXwz1jWYY#ocgE=?g6G>EG!*1j&lTIqZauEB5|C%Fqj33
z!QqYQMG*7;di$*a9QYmJ6<&V-O^dLmYKHU>t_=?vRm%#i#9A#1b^!cZEaC4hIVvn6
zro#&jU&NJ)No}+&2e-*qM>q)p=wA4Drr*By4q_0RDz~Uu!$ELxnvP?r?yZBlJh?^Xe5E}A9Mh+
zfA_ueY=U?|Wv-mOQVkit!K`^hN8Cj#B~={WQ{pY;AVSXFMlAC9v1x5&-Sc;MECd0!
zFM2cMQodj4eay0LYeiE8P|EUe84wXn$C(BvL#QZk5+;BUfdL6%K$Cc1%uX2Jqd@WS
z>i8=x(ag$t@`@o(zdP7>;?5H2(#uP&a!TSGh^7kFA~K&Vo@=L0aY{pJK7TXmil{$(%R6g%Mo;m1`@>uhp|LP)059HaytQVujDO43238;C_f8D3A*vO2A#Tk-z^o5YcK~$i`QFam1t5
zsH63${UQ#sf`jmEL9JB?$GTXY*uXd`pq6mFR3DV>;`QiP!QW$Wee2s03k=ZqLdlX5
z{VDbzr_N}}G9e_PB9?z*7;0dFdIa$LE#rvJ7$_B!*8pP{5PNrZ%RxXDOU%nx_g$bd
z&yX<9RbwLx7m|vjQiWnc1-!KwXYcd-Go{H;pg0{l!hvf=EC7FdoEY
z8c&s2wlA0$9OODm&&0uv#-V*}C$jud+}-^JLRV}fg|;}Z{{W>d!;{9n@_aPKmG>R~;PY{xJc)Zq#4sm=;trXo~+wHC*
zYhF`1VLX1KU05Z)!o)sP<9kKCxo<_tDpU&z@I>H}k0ZMQ)E2X!C?{@T;P%N?hE$bY
zu9-`uz*nh)2_fqrtrvNyVqPFo0N`hv3
z`~XLW8@v>tjMN^ET=o%)AcQq63C{Ej;roT7LJ=!LT)RwM_#$T4hpWW`(alsm0O=M|
z5Cyo4%r=-&LJWV#HP|&Ac(bkqhi0_m>Y}zjj{3x0z&*;s8Kmol8tqA7(#TE!)S23#c`b_^rPn;)8?p-3Hz6L-r
zQ^GuPM-1@XY^L37l5h_A^uc{hdn4b1MF&<8C}Lq@mBNV;)49yBB*rkh+i~+oyy5vI
z?O}M}d8Lg(%N`DVfU_5{#N8S{!{#6_6~c?~+@m9&XZ?8dXj0cXaPNGTDntA9M~scc
zGygU$Dr#=$uGL=|4u`R7#8)6k8m~J3z`k6^PKlK5OrE`jM@{4SsuWIRcJ=wdDu$26
z=6LwqD&R#-E;1hJi9k;CoANC^&ZTu(Z0Dv@UxgI={YbRmr?;54T`=(BQt;tQ_JL1c
zmkVhSsuBhUnDBz11{)P7ms)S^FVnFhl(zsPU(q9uJyisAZ|V*%8G
zpzet}CPA>3JIRAHy%QAjQ{~HEA@3l@jP!lt5TdZ+=4mF}lUyd|!=y+Ht{%skl
zc;t=>30Wm>P>(jR6p^tIFr{FdFXjuZdvE#_s_7wJ_LSMd>FA+wtvc=~A3vJ1vJV@-
zfOFsUi22}woBI&`wa2XnhiK;TlmLcNT>joZ>AiTNB35LWD8hgreh1Gj149(z5MV>|
zKe%t@MK?V`x6T+;KM;o(`8d}A4}8FS{#5<5)T_*OOi^$60Fx^b*O<_aDEB#X)}%Sy
zLimG*O$0YGxth42SOG`Y-rk=L;;u@6ozh}keaB>}c!gI8>4x=rl`J|^e6pzap0ZIm=VSD)nD^gDB;CD^G+Xi&rbPPfVblpk13NY
z%7dFU{i*VcQgJqJ$+f|Mgoqo0Op|@%lZRuuAuf6>VbOLU3dK67Qf$NL$>rmsTur#-
zN=MdP`~Cl5YZlGWJ~H%;KjwwAd4REs_n&8GBW!){=YT3NkYNM&WAKPtML;H>&F$^?a)w;@Q`mj4SxD
zGjmCKA@0s;p|X|3@!wvFM6ra;WwGWg(GstpnV=<&*F9$~nnrdFE~p*yaYRCLyY2(e
zlM~I$V}`}%gA$vPcZ3TV5f}{<1E?=X%Op2{;>KUS9%$yMs|YYm#2WO+860VaE)8+Z
zVL#vPH|tUAemb7MCppDEaRN4Ye)zE7;zX!yomD78ms0ik)G=amG{Oh1!iCsy_9k&0|n&{c~Wao=XoSMqa#D)#`m
zs1wd08pmMfA5XL9t`ff@>-JHrNh=s-pVl6xNqnSu9%;cTs%ly4nR@4o1Op~2ZRS}~fhTo@9rn)|pmOnLcg0-#139*TSN&U2BpHAI7+RPHY;yG2kx5}gg*Lp#g@rLIO*MBF}uW;`2YK9
z+GK@POR2*Jwe6Vkp!3i3dWG%Qo4l0|abeM&-e)DaWdOj!P6!CD0gUL{mEEaG
z36tcR9XLA!qwe{Xu2bEYBY7n04@|daAP;%hRW?Jnc1YiO!fS9}SEr~!UBvf*!_uoC
zEi=9J>knLi`Ff>ginzn<>M-jN&>2tI)A!W_sydS^FY4c&zUTEM>F-v1j`(4p7f}!{
zo-o;?upEbzVFt}}kK^CJ;SPOOIq~4a2a_BG5dQ8O2`XWpZS=spD)YTbpy+#%ZX=*j
zUn|sQX?3LZh>XF-iLb9UYQBQCC&yYt#(;eK6}}_qr@LFj-*VrZ?f5uX|rQRJr-{f2$vk^c;8hyt+G;E)>%AA>D`i1pa9DDvaA`|E$yMVtPJBNtN!K
zCjM{N{R}b+=0}I0RQB_dn)v4HxO`*4&riK0WI7|R7UrL`o)Nt4E5MWBd)#ad7T`6R
zC%SS4^DEvb&sJ-2#oB{59Z)dXE*p3S0{-TA!!v4D!HeH~FtErkH)G;pS8Amc;FLcY
zbSuh*P0TfaY7<;`-lT1zEa{_aT_TAy5L`hu2;k1PLE5ZTWM27UW#OlZ2(8KQ`|ek0
zEL*ZsQxesAgIKNp09ZR<9TWylP
zLlX9jxi6w(H#*#VJ3ov*IW71yRVDA~?njAR!l_$7NKCX1OX@k#A@)3KdAj}+3njA~
zz`h??GS$vy@F%*@BmO~530}M?W0r&a%C;h8L{UrOZ`T^6=
zuc$k}R$WAvjl)mg&A&s>oUeISQEodqEIj*O{Y~VZoUvzF<5F8r>D|w2p6yM2xNtY_
z`QU}{#y1XmZAMj@=nCRx2cxVAu1w=&f`j)I2T1SD1XhG)%lA+J*PJ)=^Vr28@3+w{
zozq|YbNtVhAz*#Mkb&|9@(SZR=C-ePBOrI(wpgs&vI);m@gz>#q0uS4F0(8v}n#n)jz3
zI>{6o+*|u0&RVP?YpdNXvFLfyMHw~!@pe9QVe0z9-bg(Jd*FxYh5-6tDCTbur;#Ws
z*wLd0F*`Mcc_GSd#L@p{giSwCqgAi2!~WYbpsbTihxz;$mSrh^wx)=_Niak{`S-_p-No?&46^oAZy@2}=C?`BzIvGOyBf@hO_&I;jL!Ab0hI0c2Ku{QNg2pXQE7DN*jW4Tc3ohonPP$rb;zE%q>P|xM`Iqw!XK-
zp2o(Rq3$#xLjz>|`p{;s%5f!|0|<$Ntq`}`f%r(vD?@0uRBCbOtKm55;+}l%6_{A-
zy+El}u9>jj_VOt;j~ojtC{ID$y38=(!Sk2@9{Z#AN_9YjU{E+s@p1W~Jl;``)
zASr3#bitWcnUCj19uKV!MF_~9UFF!{kJqsO?NrQ=FCyr~>U~PK`7(ch?m~6fxR%$t
z+pf%~ma9(*dO_3?0!)?CfCAclDmP>!SBFKr?d2L=wO02dKrIO(hoOD;^zBJ4O
zuk2rXd?Q;Y^dsqn?Fqu4Uo|Y$nsuHT($aqQ^%?9R$xP>B#g1MoCa$vD_gZP*j@(cA
zlG=rQ%Z(Q-_n%4+@B@c9V||+S0Uak5bPKzi8g=f95qYIQ$Egl1e?lf6%{e0zzMd^u
zG_>bYZq$r+#4j+H;
zprp3`PnNE-0zdRINZ6vvY%tFxc4#gCI>AB2@`Q&jOn@}r-11=*b&);q-CX~>>g_uf
z-=~*r_;ix7(Xi*5_`z95jXZk|
zSO54n=#!LO)>ak+h$dAihxUgt~m!V%vJ
zm}Vc9kD6Nl3+;LqtiK?bKAXL%-deax>+dGTp$rtZFfJ=vK@9*RQ|Z`tMh=7k+3N0=YXWQ!ln+
zpBUcmrRb0U!rs=>zHPqwOz~$H{_XIZRX4ikWde@ps%cH+=(aJ{of}64eR&W5>jSiphPwGnb
zyO>_av6}(USq)OTU|N883URN=
zaFF^CY#I(4K}J(6g<#hEj#ij64cCK37E^B|qHP%xw$mQ$|AHz+1xt3XNE0$sYBPf#
zz;BTe026UECZLp?bmN5Th--T1>s0^Xpc0jnZldP#G1;*XxE5h_aSHe#`6(KWCRF4G
z$BIK)yyg#*7JUVMH%u?+Uy$$f;9FHbR+|MMrzjq@bsuo0B%-_Bb8#_|gt2orJ7JGw
zB4KdMF*GEl{#rr^5z4-n(;z?uXjyW3@?X;vR=Eb!&MxXeEO+wom0Vp=Ko?y}v)
zfZrbx>Bpyx6W6H}!F&h3d?NzI%0Mo&lIzgVe04G7A3_0WLX@_OidpgDFM5og4JU*z
zME|EmSE|4+djA^0;rrO4JXq@$r+Y&hTX0TScs)7}0MfnW3Rm3=Hy1OT6EXROs6r)f
zZ5yR5!=uZhH&2R6TrCzPYP%IpO3cq>TxQ)|S-uH-P{c#?IOUmW()^PQ2zub=swChZv$D-8(ff5)oS4BQ@5)g17lPH7VNMB5!#N29a
zL`_*rJ@XI|ti24Y(RL}m1<$w&FiKM%_)vdpSF4t$Q5eBuQX4Sf2tM`Dp0Fj5GALR!
zGOItKS}qN;HPb1><)=3!I(z$;1?83dEua5UtKB;o@@X*E>|(sljEJ?3@=;aG;1K_F
zHiBct`+=(&I7FP_-bGPdgJ3Fmg#?@CZ+!axPZx86+nE+#Du9%LEfJy?CWi2KD)#?f
z2|31LoDqPK0LVEQ@K063iC)nMKP_ugEo)VkI(S=7P?}s-+%8+yvV2pngT^C%)Nn|t
zqc`u=!;<>~@fOEUk;I*o8x$2i1tQlfhTx$F*qY3|A`QRV-RrfU;uyc5XRP0dxp8NY
z$Iv(m#DFc~BNbe+YV{!pr$`@2q6xLJNLYTO{^U}eG^^WYMP@|8KR_lAq_O&Tlry}4JqSdmjGbJV|n
zYBFbIwz*}s`BTZ6NBU_`bj*n-(?(1Leh=MeDv&lxnmbr`w=&&j>(J$m!aP|q(qZ`Y
zl`QDR`!gW|>iG%EkI|o|z4#0?h1;8}obRhEwcqv)J_
z2oc~>y|Ap726-a3468JI8x?fv0Y0?s<=56zxmOK-%~#J^C;HSIHya
zRT(Izdf&!C!0;~F?}=Ez<5sAIT;7`aJ??g`lmudTp2vGGliz5<4kYsDJ?;EQnRdba
zcON{))cIN0zW9lb_{r_lPgzIYyRx1J+-Z67{^?8JXXEP6UfDgH3V-%G>)GtxXJa7vTf1i&I2e@y
z%i=s^orWLu6>k7Qe+%EdHgf(qEXS#<{0R!02OEgy`@%sT1o%4Mq5uXgd5mWzdLQ{$
z;^`+RL>2?qvxE8)&g?h>=cuDNOlS^=$-n*h1_$*J2g7Ewpub_)0RTJ468Xb|K7moS
zyAMXj{~+Lu9oUPzUIv_YsPk=2Ns3-Y575%1%IVPp*jg1}HFA%q2?&U0%Q4YdGTJ@@
zB;dq;d+h3orUPvg4I%fsCj(Fb@RIB;`$6V!0FY!ZZ3a5z;3+Z_tPOC5w15$0;M7C<#yf~~{K1=k(Q6v)`-eO@H&iqH
z;=&ko)d@AE0Z-=uud_#Hn?|yR!7oZ*jA+20&kbGH9)TP@?C}}c-1cp28u$-6+PTd?
zGX|Y;LN!GU_C&mdl1G1;p6!1MbTkcL=D_Zg`I3iWjZTBjbAa2^G35N2gg;~`&~L;*
zU(gF#%rmJ_vEJ?0}!-bpm*urcO$M{57YJfABqM;i>KP
zXpuqkE#P!Ah!03rAfwGAria#g4s2lq0DLY7@U^NoTWjofbPh<515nLo
zI)YxO-2>DAP8+n$VEy$TKeRi1T&s|z50Bhl9%N-70(LqFuv+l4w
zNqcjsd`78!S=D<+y?L?!!_3i9t3%SubCGja&C7t}9O~n;(ddeA+p@*z8Gi0Oi>uGp;NI&kJse!i
z)Xe-F*{=2Ek1JZ7>1gwfo>%L4Bj08?n&(MzZp^Rdq6|fvK}PuX0`E<=-1Y0tn;u-7
zPtBHZqqagv7e4ZVYfy&z$a8>x1lJJ;xF~AY%?Ctn-ij9LqB5ZXuKPbNGt?YR=P68k
z`~6q>=PNIs_m&$=H*NRjqO%y=Bjtx9@gL4r@PtIe!drMER6pQPfZut8l{xE~4hO3v
z`fr8-VKNBG1kOZ!{Dk_XGXC-Ns2T|L{|q8=fCSisT>n3Vh>&6qD470VgQ(Q{K~-;-
zs9xCIz=P#Jnx5(ZGl+&~lrs1wlGOq~gFdNd_!zTLdfk8BsP(;jCi~jWnR&rnv
zoxS^EPI1Zq<$?z9%0D&lVWag7wIjOQA@+}3S91?VdMyk;*6STCx6EpO8r}9k2GL#b
zk*O2`7X$tQr*zdue<$>$!XQR-2J<5Gh@#3g}0mdef
zru|OZBqO4;^%?KJ{+AjA8Aqr%wLV(@U{7vIw%hQFL=sjOg^EzYfyn~0AGr5!#_ZTY
zq#|qroKvBwHV!StaL0)l-||z5lj^a!W|{ol%(e8Y3Au%m;%Ec{B#ELRnRwBTBH?(G
zQvB_hcW}%Z!irQ3?TTU{J^gB*m~(X&(JhcBOw^WzT(q2~`v|%u0{Cku7NWU?kGlr@
z=6NXvrefnlSeBS$MnB6gY|f9Jy=DgBxP+Y`D5|ii$q^
z@aCN}=X^Oc`)y}-_QT%S&VAk2|My$69>cgAlX=+9)sGQ?a}Am#L+GF_Yc&K79w+IioIi5}Pp={4Akk6uRNCTLTm&QDWWORau
z+EyyL04tiPAHfC!H$HT4d2xl4z7G%^0j}weA}au3B9!ZqWb?CGn@X0invidEaQkdE
z+;I2R7qtrDa;av0D_IEz7-ffWRMmuD(}3o(QjJ{Xj+eq1Gx)Vj82z9y)MD#
z&3Wk_-1$={N`LSEMT$Zzebs!8?KN49KvS<>dcXbiRe5MEhPniOf6n$SV60VSab!h!
zE8C}L&-JIiG%_N+%SK&r39*|7RcL-UaN|879g5Z@g}U%2U=Cu4ib(F}pF2;Vm5(0q
zfLD5|0n1k*wa?C2fl4T40<;66DTFD1IJfbe)F=oZgTj>rOf=m->~H>~EdY;zPBit>
z`XhuBa)q*5#T#l(oA
z1mmHq*6-9)nZtWf#-u;;d>yDJL(1DeSXJx$Fe|%M`SrI~T+(F-6pY)R7W2AkP5`eV
zw?-%O_5KX^F;{|$N)M)2no46~CL9Ez`N0TMc4gq_ZZYye)8m`iyym5jVNe5yhH)7M
zzSeMgfLLhQ$3W<Jv3Ze7T?b)YwZKpf6w9z{OFyaSed~!;Xe8g6<4@2Iz`8
zVoKicV(V`S?@zsTdgn06D=^Q8G~Fuo(m_Dq=@5WEw#l4-w0N~i4PCP
z;FDpF)iZKqykb%rSz&aMP1^Gm?7G570Fui^7j*Dz%|lsNn8y}8==th?!v0|=u8v>i
zw>+#mz(rb9I?tJ{^*V$J7Y!gpf5)XBc@1w9;KCE#Y4utwh~h^X0wyw^x>I=?EeXW&
zrM7LX&!dCrTu+-MI0!--pvCc?%h?5)-f=}bPP=y${^aPC(WNgO{$vcrK$ZEV9kOaK
zl>vIBF;!POj`y6jrd-B!$|Cg0Mkv*aV1Bkkut@qT@-g39#>7{Y@|+O&A5Y5J4+7O#
zx13l13J>oTCvE{4w@xM^-Mn_{-PLDlI6?f)sc{2q7IzJsSJ<#a02G?a!h(^!BS~?{
zFApk7D|DHy{DAGH3lK$cTG}t2u}y9J1?AadvbmsHCRQvt%FHQXTK|;ZDpE*W_
zCWD{|tKV1KjU|qZ1xO|LLn~w!jJE39O~%ubPd)MGoq&>5md)N{pU#0k3>N<2OPk2*
zhWFLiKh%nXKCIN@1?SaA!k%458ym;HjtR1S(C}aBx$Cq9v(|93n`XqBJ=?f}i)Y6r
z+AivqbErV$1vwK|PS=|(j`;lj_Tic~tf7C}R^_PX6F%@!+wSASd(8bu?7xIxWP|~t
zd9Ud0`;&+HQ_b7cW;h1pe|vSoE)R^<5zQ-kb$Fi6oa6mF+pfmUWXw-*PdlyCbWw9s
z_?9dQgk%U|c<~=z{%v__Kjrl#zB4b~@)CXw9M`0*K8jt+k_R_XjJ_gouyj|xb)LDG
z-z^i&=9&Ze(;_!~nsrHF3^X~M-%IKcB8WF*Y!h(oJNG7+3Y&Bnp}I(bJDpVyR!cKOWpE
zUDxLhv-xlTRBN-$b`7q^kCmK#GOf}_KVK5X9@-BqHOtnaVT#b$+KmD|!=te)x3bxavFgfMK&8)}^N84TKjE@!aa<=j^@P_6!QA+{>Tf
zrvag9ezTPw&ZuqMUzeQ;zpAy+WVuTRj=WPnn45!$x@w$x8%*~MhLM$yo%yGvDwIyz
z5AYmdRfm?s576lhXfxa(Y!8Z@V=YFJ8Bi%Svs~9VQk?9Y5mH`sWDhMdPLQ3qAFLid
za73`n7^l9B0#ZqlIYrE+pU5^N%m5LjU1guJmORt!AfBUU4~COm5xNFbU{1BWOT}qU
zQxKy60OHz1b6m%vY)=Wc0&&D0q%*v(k-`85+-|hsWL4UX>S2mKI)nt0lEB&(y{tO*
zaG^_5?vbUUBNn_O*ecB52z*YrsoeNkbapxywuDR&OL6$oFoN!r-G81sJKzk!n@{3)zRq$
zP%_)(ElvS$9}fPd`fVf3mDN>SyilbulgUBx6IFoFb==+brymhk2*<0W%6OQAo{9JLnH<?FM=-CJgWgl@%y^#GiWm7N4-JvRUZ
zU04n!%ajOV`xwa)f~sP*6CT#=kFT=|yupbrV8z@0VK(UCP0j&Qr@}Ik{&cAVhx%T6
zA#W__h#}Y~f;&qA{tnrGXucC9L4yn5$KO}aNKT)q!dUYqwRQ*}qwwIk(o;ogHDvw_
zawi|*hyv;}DjONGaE#MVezqUqs&S=hS@6e4?7
zEPK=;1p`6nubtJas$Kqx*hV`kpScg9%N*qU0-)S|e1UB9nM)LSuYMPp$&VeTEu}zWptPx0_#sF6Ssm##*W0%;URpK@K`$na)R|ihK;{0
z{iamXECDm>bR5Bu4A^dL=iAX9L{K~T4NQZG{^gi+YeXWHlWruU6p%paZ#~fnZ28t6
z=C>}n`BDpUsq5H9WOKlBO{)fQZOb}C=c7#TihF{u%jCMR-Jy=&AD7|G6NqV86xa@1
zMFju$GDz$aEkT_4;m1_}xx0Y}2MFB^si+nPDzjc{>M8_9G)<4(_4WnZ#~0JD9hOkE28hxY3_zX_aRlL|sfc88R#s&HHX$;d
zPfg|{HJi*X9K0g=S3Y=Fp9kg!A1Kh@)teG7(?drVh-6QTrF*`^iw+={k;r&)Lw=OZ
zG`->4%upO3CTTpA1TZgixDg#TD-E>Xmdd3YXz);aS+G12EEn*GW
z*$hv;G45mN)hugjodL@fqWEoF7-qzhzUGgou6GPI`oJF>IY}OiM}!^|u|ZC4s3x{m>{l
zfs&n)1|EtSNx&^w5c&vSx*+5Bf-KrufONqHB>nc<#z5#F>;H71@ZFn&sg1E>xf7Vm
zNRa29xg{C7#UH$#+Xmml4(3JE81N4qxR=%ehMIKeE$~BV@Eh+7?W4!!rV;a|Wj6N4
zuP|t5(&^&K8dc0WfH7m%40jcu49<=vcOdk4KHt$fQNj}hW+ywWN9F`0ZrO^5Oj6#Lm3P(R_~F4Wi;1)cb!y
zO>>6>ImQPrBYu^?+P?y=I%>vr#CoV+{PeWlcIjxc0EXp5x6O1b4-J_T32T4x@>w^Y
zy?|mx97L^o@50G9%{PX=!2-+V+
zg!4l+riw3JEz0W@$1~t+2;ewaik*ITat3Zl029FZ1Ma8<`qR@4DKGq~6VBLu2RN?g
zC_h@QQ^lKu_H&b(NblBr*(9mt(-r$Hr=>QopbUFZ*(>-2dehnE3JrneEcK1?Y6KJ`
zWv+&B{IBTo?ic=ZNK-oOav2<^et3FL3~rs?ej2?aJaPB-6DbFzIYcyC46#p7vL~Y}
zl_hQ>6aT)QPy3$nrvie70E*rh0*tH1W%v4^Pv1b@PA|@0fyzz7b_l7ppD~q|hugIx
zZvc|=@c^!dw7V`dg)E4Q_fX8QeTfg+p0}b`rtFoAo8e#5?3mPpQp1FdI
z-i`IKkta3bJ-wEG;Qnd-2Fo(_wu`$iF@v+2_iiR^0Mp+_LY2X#?meA~LVBtqY~nq3ofQ`
zY+sCA%Ss_Ph7b51aXcmlf%q$!2ZFApa+F6j0nUH<6_eu<`ICyPiaXVhD{203dpEa!LJLyj+-bj
zEV8dt$~Qlvb>Q^@kY*0I%Mh}SW&!%q9RP3^udO2czPX66!Ijx6ThcDCK+6|+>in}j
zZb*O=6c}?O3qg461<{C#i*!kPpq|FCGDy^4(hfSwf!*tSYj6Ogi~yv
zQrzy84CETBJLfJD%*_}hHi6DnP=@BWv^-duf}2~=jndgZ{sv-GQ^roV+$2DES2^*%
zt(IA>QS8@vaxtOA@9El`%iD?d!tA;{dlY1a+NQ5S%WDK~&8YDO60a#{*B
z-hv%C=D|FhD&04Zum|PY(4dk8#LR0&BPU(srms<%w~DQ|6GLpm1`$7PtpPlekqvke
z&YXQa>;<|Utc!mf8;eO%=jRtcIA(xo@QEy6fZ<#0-=aO#9eWO+zn5}y6+SOFAp1me@5;KpRTmlwsJ-qA|Kb(#;bpSFdm%mq)J(b8X7Na_)Q?-Um-8xB1-FmwLvnWM?5%lO*0?Y;wV*6n!$6c9XVDdX&(>+=J;z
zjDsv87#cDE5)vw}+q0#t1%}c19WOPFQ+yjpl#*v_b0kDjo#B!d?v%&#_eANstUIb-
zb0Khx<>8ca<34c{t>(6!~}_*qo4uO3(&o0hB#R
zK6tfW2Y5-eL|~~h)H;Y-3Zyh-c6dXPy~5F25g4!*n-PG0oI;%t&JEK)r1}erkfK~<
z%0hwDD;y3$Lto9HfFUafsxDgR{
zQ`v%&4qT|2%WuDp=Ijrp=pEy|se(Yo)?aPV7Wq}hDqZu$h@E2=`=?zMaseRHaXap7
z50&!P+bE5cpi#3QX)g4aOQ*9ZzUqP8W=^_u%COAYS*YueX@x3Nod4_`%K|v3mzBca
z)d6q<#ROansAvI?HvwkjRc`?)dhT4%0{pd++db2C4m>u}(f$
z5lU`_){CU>EF~m4Rfh&BT`RQpYB%hJF$nP`f!5dDmGamxjPsixI8)5b6Q7hSUC4mz
zD-A1T&|%rFc%%v3oZ#P<654O0cA^#H?wIPPF$bceGlnG_crM{3gP^^+$_T(WD;5oR
zmE(sMkE4-RaEb-6JbeNB{*I31m0wJ>8AGp8l>cms82;^kwkYgg)G-gRQCHWuNj$Ql
zA^2HnI~$5W(BrLGge|RA6_!mrfMs8Jl}7a67u)gVoF?%O>x#xf@K0zxA(7erV$
zk);FG5!U|^OB7@YiU5fzYZLtP+cun&<^zhBPn>S-ges5#Fcc|eyqelp!?<-3iG&HE
z;VBp{K+1ORE>QbJHwYs`|UFMem%`5E#!lOJuR*$wb1{W
zZ$i8}NKzl<7Ffm
zM&;|YlsdxGS!R8ivIG*k*|@Y8-mGG{L_$+!hvh1g(h=YO^xUqUz{Ji@JV2`MF&>bk&q+vM2#*%&|3o5W$TxNif&8d;SWBMd-V>I(3gPr7COP
zWE08&;0$e*5#pmB8sY`?J!}8TKI|d3<}0J{5`wvI`(sN7F**`KMmD1ybl`iW-V_^_
zk+%YMOgS%%k4Bvs7<(Z`;^`EP*>c6rm5#FXCDl7^0jl~!E4i<-xsMQ^Rl-3%^|HK?
zqNxRKXK@rhfNrU|9P{Q<{hE118B8HT+`n8B_j0#yN6c?%MDN_b5C7;)+?;+;NKTLb
zct~8o?uTTA!52*PF65E9c;sfydE|bfIvL;Id+vy?d_0l0R<@m?adTd7u=%Ry$!swA
zU#*pkJNjnsi#RB=M!bKn+@t-N@<(kOXkZIMXi)3)&i>4_-0?Zs*PjfO<0M&T5Ym}c
zn*@i0beO*gf^lhAv>snM123kGc*q_4x}#N!!TXMzxm%cnO2;pcj~LC(iv#Bf3b_I$
zi>SC=k|w`=8Me=P4n_q@P+5D&6z1Ew+E?@n&J5Ig1<*DIpa8^-Uc0|V(;(7LMX?c=KqI1IT8;h2u{2Q334dKzs7U_0OWOhL-I}ViIYsAZUd6Rw`$cuQ#`3AC
z3`8`{9x^+$S)a4vq1HW~G(NtTjDXzpGz`}eXZ091
za){kX%!NHU)KYnE6H5e(Ie3|ghX-biL^&4tl3W;iBr1P1-S+zLB^Ms9!V)lApMks5
z0m~&9jkM9UNhxJn6GnHj0iF}Pgm*Z2dH5R#mrr%%OO2d{?Nb`4g~;jC*?Zj3mp5@Y
zb!Y>4R(naKy_bMi%rP8i*?4LD_l_l-$^4}cos?4EsPDGGv&nc*;#1w9#%v0=U`GdX
zV?}Yi6kuD|K}qWze}26U7y54+i!9(+)1ZtROoQ6^;31ep2UKT;;V@@+veQ5pi#C1V
z5+c-QAO#0AUtTdvB^?Ui^)ilHoF8Q4jSC>d6il8oBqwY}GAzQyMREK-P!Y+0B
zt)NaIc*3JJK-%teITE{9}v+@H6dQLmsZjhb$-8yyf?r;0DiU-A}<7y|M(7%(!cOmF1Duh7
z7wqgB1lj$lJ?>&&d`BrLe_{>?@I4e4-Ae%%rdXE=xP%f5>A70Uk_|J_ydzr5=kL@M
zsrX$8TW$#gTbnibcMD~m<0v@g&ns|N;yQMOARN!#mxgiYAr-})$Csqj?{cI0c77t*
zKeyBiSJ;6fSPeMgjd=8}L3Z;vOODTGK68XDhiOE{r%mnI)Tno_SYHbESAs9h
zfNE5m?0vy!dugZ!aSi8K-!x$xb_|#W4z^X|kk@~;>H&0==9Z|{
z*L9bpJ?@c7xx?i7GX1N0gmZ%6J_`+WMh2pXaEF;I(H=EFU1#JCPjdQ{0VEbT!xq?!Dt<|uB%-Z?S=e9huFEb+U{Z|qcrTJWZ=vBE=y);uhW6`?kYe2y$gm&xUbx1Ex#QPZw!;A=yA|uUJRkM^s`OB
zHNg4SwOO%-y_v__z)O^7`M!4~91a@GQgqga(dv2-J3ETDzEj*8!Ml$|n~0eXME;Y+
zOGLg?b1p$&40GYa)Z2VnXcN)lyT)kNvn4$(8iX)@f1$PZR6)1I+_uYvD_ELhlcGQU
zopSqK_v6XU(WhvCo|2b()t*)aB?Iaxf^8KPJXS;d0ElL0x9`f9=E!c;IrhzOJ1}Jm
zB}WzRw{8FCUNw`B+{}e}zUOaBMrEBW_HzttW4CZd98QJfm;#Lfxym=5q>Gq(>9Kq>in4Nvt)iefJVhSIuAWB?G(7(r<;nEr9wSE5=dca0nR3EDIeW%G|3+?EVHkoZqG=dl9w<0^D{6oh!gbyCMl?0U+daa*a}sF%#^|{boPo9SI}2*>R#h^Ua)$X
zfmiN;Wrot#7qk8^B#WG7*Ozi(?5GiLWEX`Yc)5j1vRs!M{tUacogYjQv8^-8*E4pt
zf$#L};+z^=qoCnsT#aKc%Lo4sKATIs{kh6k09B?jH3X2qRc#x86uH=)tUoxIONRLF
z_jH9A*#4c;`b5s{b%b7OSQ#PM*fG;w4Ks_jqf#RN8Gug46G-(+f~KcyRB(DH=@?G_+^=-Y}YQ953^VbE41Xm(jm1viY@F(i*g$MBm2=?cqm&T;;;O|^V`
zVW~F0koMl$K3wh!0&u`TPUw6Os8Ab9CP8nafF$#*xojADNJm~j=qaS;&aj9og
znWEQMP0@}5w!`=fa>px;4(ZQfmYW$YGPhoS%>w##M<7b}y8G(7Kq?|39muG(^Z358
zn4Z25R-lKb7@-O6Hrrv0OAg!+cd5J&`>b`i+ew?Yil8L^1tvb#K&|e~vr<1Vuh9Ie
zgVjHVNEquB|6@M8|Bfqo!Qd8iJhHLx28+gla7G-ex~~3*)?Z;?vkPX6i_a|#3y9iT
z?pzB7?h_V`(=XPdTQaOvEIQTgqFOm^v15yV7_`9&mTNM-QAfr-OR?B
zDNQS6C8tbCf5>)4uUFyUJW{ynj&@EoVTnIpt<}}8Iuj|aoG=_>+Ld=*AZ0LXPC4VA
zkcIdd@r4=TT(&e=?#3$BSu0D~W!iY31;F(Nd(y%!*?p`R&?S=9j`mcR|LqC+KM)6^
zfmkeaKQRMM`gy)1_|T
zILp=fkA~nGv(xtGsnje8V?%WuZoRNNjw;)0m~G@}Xi{KZ-oQjMoK1
z)@ZTp*0@Hd%;j9;=EV06jk1^uDBeSF%5VR$_GGJM={aN$Gp3>ViaMgq!=>G@#5)&)
z&d66g=}l+MZ177|ZT2j$TfgpB*@bEBNh+_iR}Fgt;d^h}9DaP<{s{#odU{Ubev`A9
z{JCLE#vifY&YxmoW8$x_UkOr-lP1BpC)M_4R7h@B^^ys^sUeH*FK4ULX`2?8pI+Vf
zWsjohLeWy;%Y{`#UB)xzH#HOc-apXZ!sf#|I7;yv4pBZM#h2R4bs84+J(W&GX2GIu
znJr$5&P&!&G8(-Zx8!nd$;yQXC*z7V0b=tgJ_sUg!leWB1-EMu;?V;Z*VhSU&T`7-
zHnnw+$5ewOW;yD+SMX$+?7n%V)*+`{QAjC1u|PR)<@=Z{HYG@u4*X#~$V16t-D_<>
z&2tnt+^XMtYW1YF+$LN2b-yL&jza;X+DYADoPVdTM_Jy7YeuKcAPjlx)tk)??oPDU
zVVDNTdr>=^bi7EXMN{9Oh{}YHYvxbtj!Ced&4oIR0C+dxU6@g!mvRt`r-71l_+S8t
zD87c#fM5t>VcQL%v?#H8_;}l6p*asBE2FB1O>dZADv_%mQ`d}~9m_*;ytx|X*q$PS
z+zAv4$ni40Yx`7klAflp#GoE)eVgrpQ=0Dm;CBAXL7t65XYUYFbI#gbQ`~^D+zp;+
zW6RrsK^)JZuDbL~7~jcvL49~7Im%9c*mO|C3r9p<1$JS=L;x@*G#Lq$N%Drdb7+~x
z*ck1IPmjxP>6mCL1~*(altt$1#NqKuC|xW5LP1vT9`CLF&2>A|#<@VNm=UJg1&Rj994mcQe9C%LK67WKsiUbbPWf+8-j_hd#
z^!%@BH#&ZZgGzI3PU2jM#3=TJL?6l9X;Xm0xOp+ipWKj`)ZMXK3VItr)bmK=D-d@AtYG&#WAA>a<1>I(+)f2I|C5Xh03V2XCNc
zjpMF~Wob9YRp)plbATk5nlh)>f+rL4=U9(#;E}7xmAt&pd7hF0)AS$MZXRjIceEhJ
z;(uP5o0w7!K@WR+aN+v1&Ga!zI|^NOk&83qpqf=f@z4@B9t!-YF>1W0O6spQ)e7)}
zp*4C4c9Z(D2fGQt1^%dPR(Gk&d);7JLT^=mn(pDeTR6XF>=VovyxW9iQ1LPH82|;N
z(8r9Q8;pvkTXB2OjyD$Of@CN|HlGW{0&yyN5WY-BD7ykosgkBlmex*+|6~VueK2p8
zi>-rNr>)xkD9a)HPEm9do&N1@^nT@Ts^TzU9z1n~kDew6%W$?W$r6d=$
z@B)E+nnJKFZj8v6u0Nh{Xsh~ds9^RYs@`kj8FgYHWch=szYq?f^VlWNSBiQ&yofA}
z*(P3`v_%Gs`_!$-LYyjpkhVy6Y9Vm#dt_`Th98)!-D6@yjaqCb|2!43{K_^pUZ!!P
z>4fY1DDW7S;^DJvv`h3kiem0K`+gHi-AJUXk~aX_W$sCULOM%1pU={&O~FLC=;K=Y65aohbb-ll_>%xhMw%>5By*(y
zgOftQc$Dq0ELk?r-LRd;(#zh^m7X{o6Y$zJoZB>ycC;VH&{kkda0mhwhtLN+gShF-
z_5h;Sh-o-M&4bU_iUe)4i}yYsku?oO94
zZMuiFdd6+k)kfoEI)nF-myVLk(TSnIMApSFFd&>n~ioTUvA$o^4-`CsXse1k&mtTp>tB9a|jK
zh3C5XxG7@EEcH2&Zgfm)=rt$wmOYrvQeBSXm33vN=l9~HM_BSkFG#wJc4{2^nHPrP
ze(F>0$-qdhA;IU{M1pk@sq2$51FhZQnOH`*y-CQ+fM)1Gr+j;VD;^iZ0L$)Td!jPo
zeBX#c6OF5(Nrxqg$^K(PmVum6i6@))^hhs;=GU1AFvXV%fiXXyg!WEwbyRym3#0fw`XDp127b*Z5
z>d#0cCQTHJCYF(a->L+|M?ekr=l2SS!wN=~(*0#zIOemHIg^oH-bnoVyh#n>)#M3x
z8p}$=lqNFC_S5cO9Hj)N-U%|Mj^JMNT=S*6N*hEO?RimmM7=(iwK}i;=nj(lh`bh~
z`?TI@LktiFOv`TgD+<}nv)~)*$|_LQD)of-sp0a^C~5M
z$i3F88pXk1mb`%Y-=U@LMW794ZXg9x)M7zR1;DeSg$fRid5ARI|Mo
zC{(9pH!ETFLTQka=NvbegrF&9{Gv?o=SccxCa$cY0|z6{5zIko;a?23uGO1mFh*^E
zQd}KAT;bC}EuCP=){$|fA!XVIFCYa$^Lb`LhgvxjEFr>Mu~h%hZ&Fjoa5b^ZP5OX<
zLd<{yqG}Z}F1wea`oUkA>yap>3kduYsuL38kJ?@K4|Sm?{vEc;jq2-t)bys(U*I7N
z754o-o{Wd@R${4%D|Sivj0Fe`U5gR})dkr1%^zvbLU1E|16lb3_v%C4vJut#5ueY5
zr-fKNZPCbMjXP6ov%Qtxm-jN{{l(1j=|W8*Su>;Y+Cz>_xlzF3NZzPH|Kw|OI!ki}
zvgZmVbX}eTAC_jmG4)E4ZUY&cj26zF;!FtOmKY1&*QsjA8&X&jD#=218eW*#lNECr
z>a>xywO5a=#re9!XZaD!229Mz`!|bk$hjvl9YVP!a=A0yVA-!N!`ST4qrOPx4NXqw
zmGTm8YNE@NgXI+T3IjbU4p^xi6|=65Qz|6|u8GoJ6{8-?RI(kyfl#0IVdHcLYDMUq
zzEP#rcBemfB;~`|H~M3Qka%eq@;LeYGCWzGMPbewJ1@R6_Y!mF_s
zA0QXf84BZ%8QZB?GWDw#_0TrzK*0`$Y_hs0+1eVSSVqoR8j{Nus-*;N=)x7VHN+iS
ztlh#OnndKl90>3)%B8`Yr!>$kA!X!lP>rz`Cyird*2gM)s6)k{9l0WM6EPLj8Pa8=
ztuCDWpqPW|6kYK{kQQc0opWEhr$i%9QXr5lt?lkZ7zR^0lsU-?b4wVK=~V}HDPIbn
z?k;XBM`(ByZSE-a-kM6!+Y!u14N#EwoHk4khC45k}#y`#GIU3CO_Zv33;@QDamDD=*cIm
zuA5=Jgvc^QfT90vn5yb`KPVJBb`7G2E>_IdKjof2)B^{1U-(&_AR|{nATdxk$?Caf
z3|h1G_;6Z9w9S>ez&Y~C>LFYidFi0sL9Z(P>z{iJ_$!t&t4TwVbmgfPxq@*^6T4v&%*$fIq|iVx
zp?x#sbRQYI>!f?i*iYf?Mtp^G{*ZDL^ZK1v{k=k&2&NLpjNq^_32TF3HM`;DA&|f9
zyF8T!W$ewPSfqdc&8=3sIOkSSaHoX4pEBa`-XHUb>MgDNhd{yZVQMGbl`&&!%(+J+
ztSGtLRlv55w;7jK1S;MfO>_5$N<^SnzXG}AmcYclm3dR22L%~9a+@SMM7mRbjW%Z@
zy;~(Y;yaY3%{2medlVkM$_wM{#2Wdd6?J=suoN~m
z{-G>oO>ZQD>8G#yCKQV(CMgo181$YoTP(E^Ojzi`(V;U<>k{2O{vSVRY
zvY<2k$o9#dGaN-61D!I2TakgKGvwA^n;*cG5;xqHJL03?C`!z4NyefFTqeTV-+jCk
z*CqGmJAFn?s~TXRQFhx5+=}yQG;`|h&C#)+fEGjCY#j9#BBN|u?|Ynn;Z9^i%SfUG
zCe`W7R@G2wFg#_!WAgeXf5v&tfbl*pxXB1q`{tsN#G^9~C61Js^$y2T*2og6OCL)|
zjcq$}CoIz@z&_nRdc+_df@>m6)sRkjk+n}{+rDqx*>qI8bX8$DIaScDO{W;fK#^Bi
zQI(Xgrc>sBhWFXAZS#lw4yyol!Z0Ru&gUa2KM!WUB1b?J=XNWvGq&A$D_)s*n5I~m
zUx~m%x4wsDj(pZcn-gxXJe{c15pD$gOx+`Amuf9C&ADSbFIXRI^eqT;TkgKp+7b-W
zz9L_Nu#hd>sY5mEfLr`&E)-R$)K%ipP}!Y!6r!9)_Wp~+2x2;=66&U~+@cLq&c*rt
z7WmcZj%?XMj_9{b|A?1Tp!h^&6@IU+jVRcE0y6#5tZ;NpLxA{g@hDRhj$heCk)^=4
z@6PXtqwKjVPnlFEk*{NI8I;KNd*BXmuPXXS-RDW}(|y6hnPaxMbTY}X)S)o=uqJ8S
z=T$ju8S_^}0o@ekA#Oghbq50SE!1o(Y?5ivwO+FG4vu(K*;&q=Ur_&D?&znAe6=kU
zCvpgWXtARU5*J&CmdYk>T!0VBL`Sd$3E#OIbU32?r@gFlZY6~}^kCfHFP9q|^CQ`F
z6!)CrNh0HFhQ<~?`3XmS0VSmv_wfL-!ivp=76*reXl=O$(WWVnA73-MP4N(Q<7NE3
z$cC#4>M`UV8r)8gIzXV3m=J|@oPWmU6MOYuXzQpz8A?>1-eE}ryZ)D_Cihb4ne8~j
zWj)8;x=4j+%<4bJ$WSIBRkVvq)M~qcgJyT);$^9>CW)%FYG+iHCy4jAb!!t0HEF{i
zJHum~;kaklFF^ObS;Ui=Lv4208#yDFqdCS2|K1XYMW;fdI>;xs-Z-)ZRX@$rqVW5=BaHQ3f@^u+0#
z0~@S6I-LDCoCg0jzxQS9`zwF$J^r_B>d(|O$KvvT?{E2aOo??}q5sk?lbL6~td#0>
zoQ7Jg`j0$2F&p0haEJ4wuGOs!?uj8^{G_YXh@_Ng_Ygd;=
z&w<52mp9=9Z+5u6P2L!IyVvF2fq{4bxGWV7ELFO^KR)pOl*@-R10OEBe7rjFanNP?
z_Q3LemrsueKD~1J{BGd$7nd(T2fl2$te^&06kJzT2Um4mzZwmGwQ~KoW$>G;>ze1_
zTA=Iq@WJmpTz@1F{@CmK^T6QGe_Yp#2G=WHe;ptEb;|YknZe%|UH`p0`0t?WpWB0f
z?z{edJoxvO>woVC|NG*)@zeGHIfyWZp?$nKw;}~yj~e@`c=u9O>!jJfs-2#dI^;qn
zhw23HqeemPq1UPtCDWk)>mWLsE+vQCvDTI_QCIh7TKY)LMS6V)R(t$f&px|C+x_XSvJ)=hboRnz
zu`jhQb7$FS)3EBR;V)a=E3A|E8(Y=jv)(^{(%2iZFZBV!Oe)P*hU7SNChoZ1T
z;@x~_*@G$<&7neHjV}=}h_bHS<*&J>4FDI^#x!RK{)Xt-pK1PK&_}LbK1o)BlO8`gZNqq+}4RoQ)&IQ
z^SKK>h4Cy$52`%ws+>ZCWW?FSAsI63Ym+uriH~)Iw7jag|qZU06Kse<8x@m_m?vCm_&M
zczXgOl7CkpK1M3|nEy5}`BW_M^rdwA%GA=C%SYpo4bEdv-kgcMVE?{T&4cm&bN1N5
z`1-bXby)dDmFR_*&D+SxhW;y#sh1zWv~*g1DgX4tm*Mut==v9h|9<=*rtZU^>OcM;
z{`>56%(s2a4%zeABkG)E?_*{=MpDTNQR;Ih2hp)YAu|+3k&)_<6)Gev)gek-rPA~}
z-`{n+zSs39oO8RK=efO}wI0E`7~EY
zwEvwzpX>Rg2S*P)P0qq_YYt62@1IL~^g-&x=R3hNPhLNkAEA6&GXJFTWx)8g&Fs9`
zwG(M8M_(%(KYK9oM9SLl9o0SSS9b;c&Df|+b~VTt&I8Q0}63JAxV=c!G_DfKG}
zJ*e-x?q!f7J5-yT(oB$fzR7Qs)CfjXvc3i$wYKNC*JI{7lz&a-^c5;09kvIx<-Blm
z^%3)U9HY`JDX)pR^gVjN!!M_VoKWB0GAGaN(-Lt{(MXR${+3^33V+9Cg+J0ez_pZou~BlV+aakl^K
zj*uz`yc;LV@KNKH&NnXc-4Uo2;UvK@%mAXZJv^Q-~YNJUGL`Gqb91|Z{7TGXKyB;
zIe3AeoyBF``&-34E)EQ_bi((3Kc4WSufnzLP82F&+_~V9nMX$7aoQ6>|D7W2-&>Q<
zUzG-H^i<OENY=#DU;vfNJ+B`fwUD%}R>EvUl)lvk9>n};@$UV;Bv-CJSf(2BY*G6I
z>7|lgVB0MS(8l!llHOJRpjy&S%y;`Z=l0Sod9Sw5byvtqpZ`r5bahGp@k`eBDx4Cf
zyuIb$%TPomktAdqp4I+SS=T>tb|$dHk*K*=e^2$tRvb6rK%ThiV}L540W{we0Q7mm
zUmoDvT)jploP}OIGP}J;LL1uEe{alU|F@1>`JeCN?e^|s8o78HD2h*3){uk^4yis{
zjvWp>dey<&c+WT2$UHlf$*}I*h0Ss{f`whj1$-+*@OOm((@@lo7*oKeN6*3y@?~=B
zS=M~1Iq(=uVx`(`;--{<4a4nqjnvm0(fywAC}NuCI{lMyDsLYNB7Eb0O+hj5#s
ze{va8ePO#3ws?ZoH7vX$J^h+0!+Zdv%?N5f5`s^>pZxLXO_J4aX1o|t)e8Z*UaCKAC8pi(L^S9O;1)9>hDDaB6hn
zKr@;3PAdZA3N+r`K3?K{8jglS26gRSI^xpSoIHeG78<_XC&;a!yx4=n)`SsjH)0Bu
z1|te6Pamw!D|0r~ay)$xAs=$KCE=vA?*Y1h^!FM52=a|+$`sTJ2Nf%;VGt%0L4H}s
zU1`YmBGz5d9Q$>WMV5GjJT?C2aq$X$-SW$wyDOXF3Ggn~_haE_%@pW>9
zP!N@LwUc%|Y!z@I(C)poa=j{BtQF_MbnC{=Nkyj&PlOdY`Sj=fMGJ{2gZwl=VSqvt
zV0VY~QXdCySG?VSy6?6PSa;(j7p`t6NVUS+O3D&9;s-l}O5u|iaWn|9c?A6T-CQ36
zebE%VqB)hK?1&%BhI^^@H#txiuL8
zzkN^O7Xc=N`*u&b;)w56ghME@LMzlaN>q2?nGH4_j4Fo#m1dHI~_X!07aV@O`*&7ed5$th#T(88ibULS3gGYW%@@mfb0ddr?1E8&@FK_bhR@)6tw%
zK4n|B@AvM1B0)>rqg%BLB*~}#PSQ$Fpyjr5z2e0lOLM@p26sHZdNTCIPY}iot0jdUn`i{
zkM5k=DW2Fh^w(%e*|yaT~L=Iv2@ExzebH8F(jK5i7v-~&2sD>-?
z+GstKXr0Hese%JO=t8@L>RwDZ&`L(#F@?j~VlPp2yfR(2Sxjpo3a~xC=WDoRlmZcw
zeBO*v_KMJRkU^N^YZ&pKWj1`WE7-X10S-j>=ay$2`IVYwnBAcIcoRI)Uf*pBzdBc?ZEr
z7Fbh$R3)2LQOs_(kZRiA)%-d|JWXa~DlZrfG?39uCoqwZ|0E(5)eznw(t9e?b|GpQ
zE4^zQd@*>sbO2G~cnoD|tT+q{nsVbKk=mfuXpH%wOhGE~%q~A=NL}s)2+DCPyDSa7
zFqIL^ir+v2C<36ug-f!|f`=sbG=nU_(;ElI-GJ~ZO*uQ(j~
zwcO=wCnYTql?YR`4^y=))-n`EV1Sq%0HxRi-uRBGYd<1S0B#`xL_5R{pVsJ9?BXm|
zyIU3D0rK2JBOWJ$4c-|RsB4F);GjWTP&;z|(X_L!mgg`KUjYQL1OPv7Ai@zqp;;PY
zCD^gXA(hN=#vxoNh)8_siR_%{KzCmVN%N#I#1|l!RuTj|$$|huh_)L{ARI$rII~9i@OzRkV=EGpcD-1Tc)jjJ
z-}1j!R`P8d1GEd)Ckj9Z4kN{kT0vAyBBDkEVU*$D*~B7wUAVreKl4)}fQmS;xo-Na-So$+*>b{sF
zBE2pJAt!^b-@E|u1c9jrpdAy^UWZA7=}nyj2-N^3aRVV{mTnU%&_I-v*J3$#m6b@;
z%FLsI?#+ffJi#HJVBr+J>YyNI&1*jo5@JsTco=|p0s5J5la&1?oqS|;@^H|lOFM=Q
z#;B?)3voXR+zO9Q?BhohVJ_K&uABmd7ouJgahL~DX-DX70zY*Af5K>+m-vFf2@q|a2q%MVnm`p10fZ9Z
z#?<&Qd${Rg^l1PXP6Rb`p+eJM+9rq!D#pAWzMoqu^trm<1$RCGAN@;gX#o++@$;v`
zqi~>gdj(d@e{{}^&{6N1T;gO8$^Q?K}>j0;_CL?W!dAwTt<3-n-bQDN^bIkCrnh#dLiBNJd_0P>l(9k~VxxqwQDf3J~84YdV5c04MOi5hRQvq@usG(
z;an5}9p8Sc_o*lJb+gRdvyl-Q6~W?P#=E{Pv{+M`q~WMxd9k3{b3KWmr8cOr)Odo7
zav=AwUb*#4{-QK^Qrx@uuVCvbXR|J74FBvS#m*Clb>zf52m06paT7CJ1tCQ16c*Td#o1$BH$~(#$gNg|GNqRSvKW
zGhVU~ag=6k64H1#_>hAM#tU@vFxNLRky1nGf%Cp0nQNwlbt%ZmH8@}VipPWTIHdK|
z<*$cDee
z`M8Jc)?gB+TlENn@Z?fk7D$h4xxK;J-(J@_btewjud-6zhiQcfOaA&Db$p;|Ar>y5
z2*W%($IX105%+L@hu!@-4;%s>C2MzN`&;+i&f1*v23`nYzC
z7}AkDq5!$?ay0kCS22KnkD&boo>UdEdEJjY{3D21Y5jQJnqMa1UYiI%o3yli{wG1C
zYawA?dR`vu1j}^w*_DsLS;ehS&E~X2YsRPfWr2l*l{nI{+MDP8l_7jlq(T
z#SgL@EI7N$W~)C)%`eBNXi7akfbiZ#T*$DAz&-Zh!Q+8vCpMvuiHN&1m!3J@fkGa^
zri0(_*i{zH)kuBrcV!#upFZSbz_^y-rt5ppdw3GEIFvI8Tt8U0-@JI^=c%z9BFal{@
z;d2x)eDjDCfT&*^l@MDOFuZhg`$Uz~>!kVz9v{Wh7F=#P?s;PU+%>HEp4&KVr*>7#
zV?2~I7503cT7%HdScgUkrV@@M$4g8<&f%U=0LzU97hbocSu~}HLALnE6B|`+8$wAN
zWDrsCoQL20GO8T`t3|pcu6J)*Ijx+otnRpM`np#Ct@}M=hR1qXzl`bF^KpIfM~jRN
zYeS?~h9k`9i6BD2%O$0kt7kf$PJ)=XMnX5ALjPQh>;wH0FJftVrA-CdU(dUFm?IyL
z1$38G96WZ>Xk8Mr@TXv7=HvV9Ffm;bAczY@Z*2&BjCBeF)|9mfzrNIu29UeQ-_?C=
z*uGm8YsNeFR&XWC!p;sieD~q^e0bHRJI@{=X}rrKAM$&?{MJ7inb=mbqx490zy*%$cgwwSt1
zU>r*F5)@=nYjZ-a@}1ad@yvz}-qKiA~vvAu
zxQPCNew?k%|1)ys&!53R7cYM+{qg733$aA4zaO7@MV>6gVt+1ObohVW5%I~QO&$sG
z!|r8jwvXFoOI}20dap;?6~KzEGrovL7Zs?vSKC#1ue+Sn3%$dX^@(xIHFo#teB(VX
zPD_J}d)sNgCYPGpn5F!$J0j=zmQe3w?2(Th28pC15TfP@Q-VD19uddFlv)~wS2bv6N^n1r_p12;UkrSH$pgA
z^NDruM1dlm(7JKunNIcljFNqKvlN5B$I**-bRMU@-NeY#GLT=`$z)03x#cM$6gP((
z?$o+)MQu#(N6OnLZK7(2o*I4aE(e6f>k(AVPta0{%1anREG-bO6fc|qmiWp!(CoM{
z^~;BI_J6`rcml*=V(dM6e?S}zZ_rfBK
zE^{mX6vq>!_D74gWxZMzxuWB+h@b|+`|NQCbt9U=drP;b8ikWGB5Hpns~oDkUs7`a
zu1XNU-KW)5`8L-rv$m1{_c~>pW6YChmyqrN#cHNN`*5xWT;OH)SM*HmP-SGLmg=6C
z|8YmY%}CT~^BAmi@>P%;A&QbVbEia8yTlmx;DubVV!)JAFF
z^^k#nuJy+SNjeEMj@3TR=5Shd
zJ&}TufQ5aHu5i#-y!+|ThFSrQ6jMQU_~BJ=IyO|F*!W;BA_4vxL`ODrp_s=yu
zr=RpRGAVj!A$+-FvosO2#3Ki=KVP-*KW#~G(iM62JB$6PEip%VL7>@|X?4?lZ-rbf{37%ESAn*?VWM
zMU_|}Q`L%=5tfH2E6#dCm5&n7Tu7e
zA7g)CpvX3*IkC}7UZF9MBdnm7RyBDtVcy1cW8sdM#^q0%_6B3M`f0lsZ$ES}m;j7h4)h(B#8blnNmn>X*jE2!VAQ-<5_~!B(aD@NuYcamev18^=q(;Q^P&g
zFR59YuYAIhrIBTYl%XBE?N8n%w_?f1%V&cHe$Qz!n~e4=hyr$0QFH!Psb=PYi7#%b
zWrHI}3m}SEE{4HZF3F2tRb^TlUKBOyu~R*@cB*Gku;lc9PL(M$I2>MpCTibF8JDQttaKeJ1(*^%|YFB
zOd$Y`lxU}pF%|}OXgv@BZpdjv!$quD!tCf4eO+$wK!WizG02o-fd%I53A+QX
z7e5}X$;9Y(BwGwU5ml3tgAvoF1%bFXxWiAG1i&kswm`?lP>YWl$rgiQcIRrho@!2`
zOwayAFAe_woi;oR;{y`?As9=Yhgi
zIX;-~B4e(04S)gI4TOc*JW&W$0^oP!>IUj5aVjQcJUf%@O+K0Nsd%N>`EgybxV3f?
zuHj6q+2WJ#zhkOC->fj6u92=;v!6~gRhw`(1jHWCUK0!#u*CvYw;{ry6k?hwJDAAQ
zZC4gJKPM8!FI=sQMun#Qd5B54%|(<6XS8*S}hXsdDJBS9ON?W&NScihfUa
zh?6-*x+yCH;}{+65E<#!K8Qs`AobQx%+cPr`du1;iXPD3PfOG{PWcf1EY2G~C%MAN
zR9i3JzC5%zE!{#NzVx9c$V>F$v{TAq=P06f;Fv&>a=h;S1NXONj6#X6ipsvLm(w{T
z!b2tpXmDZo
zdF&7lRJS0zcrX*slqJtIybn~#-R5NYtomJp9=hTKDc0*u0>h(^_XgY^tU&M7!FKgu
z?&NcV>SKhL^pI5J#NVEo2l@}3(;PrMSh(8#x~`opW-o9`>zJ$C%~z&(o9-oJ?gfsI
zondT|uI4217POft!cZp@gs@az5#W{54U?P7K6Q5!+b6fwCc~u-%GBCiYK?;)wrNX@S=-JpFCdAz4Ia&qGt
zU1VzSebvBzCt5@595@jDUL?U-&b~v&F9NWm;
zVsD1(ra@-MO_FrgtLQIJS7pKri+&3N@$6rc9a&xJ><1iEif9uVE1Ujzwpu=FdEH=C
zIC<|%TshoWO~rkz_3mc;(7^I*U%8Jl)>X3EvuHr|YW0oKq%j-xnxvt-?IYz?R7`!}
zi&qgk;b|hk4YhS=?VXGT`9J0>kwN;lqi#|`WKbzTs2bR0Y9Jvb3l2!>7-?jd&W2$`967ws@g0mL-6`Ty=$<2B~JCTA5I`>8Wb*rT&PAdE4
zL2uB>4X2>IKosOw%+kAGr!?;GRij^sbND_ziTmh4(sC+1eJnj|Eg5ISj+T4=m&4Q>
z7x3YezH9Y9bh}!?=~1C)&1XMv`l)|bobD{x=%v&2A8>E~&si;Hx0yIP<8YHPmCzM<
zrl<$<$EVBqBwc9=R=+zdc7w}tKL7W(5TI)J
zGj)|2GW?_KO{y^$N^=&W)$C(%q1SO2UVW})ZkQOufzRSFbvDC-%W$)nd@WC+5#Tfm
zf2=H{U2kg@XSt-wUu9>x^&m3jAc~;8nT60Dd35i%c<*7@CvSz~H+j10rN0?x)hMQP
zE<>HIx^Gk1dNV&CM)kDoHs{siCyITv?enhOM&%Apln+;*yusiyi=kALcDYaDYyzdt
ztDJxPsjA!Ds)LibCVoMe%FX(z%wC`hYck|FK?+7zQ)1+9%P_;zK4&g_p{V?*EX
z>FqI$Z&ph3y@1D+<=|liP4HN4bnwgEYoNLuh}Z(qAxT5@(JW)FQf%Q`x9;B@lIgrP(n7AJI^Sm}
zn(Ygq^ET+KK14bPmL!SxXou~Kg*KlVx0-_PYiC$(!oGp56|ByY-DTreu=oz>ZgjH_
z8;VB{AKYV=WJ0pR5W8C)dUUxr%O?!(57R+d?ryd*&y~)}qL4)a{zgB@4w$<4sEGCG
z7t6DpvEwo$YCBY&1JjD3K?}7z`NN(W!SdbY?!B_^GYz(XTutgM#*4`Elm^#-8OroA
z#$g=$;cOwT+5Hd}tzQngs>LkUWsm)Nh%ECm5!pB(RA=Z_9(Z^B0{HN
z)a!?G@R}xu(Yb)IUy@*-*5cke3s^CYkhQ3YA9E@IBuvRh8W#J2F~+H0cp%%)4C{}_
zNfdYF2pgieV;_eh=HIei%eIRQde|nhFgab}0$xR=4a4ui6X^|_R{6XhoN8D;aE~+m
z&O~Hv8a8VzBq+3>p&*UcfkHJQ>gBXquD?d-9vmL65eqqipzfTShIOdii?V-G)~>83
zkJj3t8%1BC9rgNq@|tloU4lXt4hWP52`z#!rDT5~V9)svw5}si8!Sw345}R~^?prO
zhdh&~l4GH^c(c{S=B>k7DAkMtRR@Q#6j8g_K6cNXuKhk*z^(HLs*+}r%+%m1ORf6+
zobe=FTQ8caJXU`o`1WFzjs?R657lDBjBEIm$`zAX=*3vtozPoa&5P2B{&KSLy+A+<
zmL)X-4LkaD#9i9%afSCZ)MA0*O1-ILiUxD`0g2EYHO7m)J)Rbb-s?;mw8(rX#yruV
z+JbO0%I`{DURamBe0bg%fM6DKri4VU1hetY#2tMIKw4nf;Na#PyLMz@N=^)e#efTm
z(3hoGhzO=UT7+Hv>|N^g?In(bsP~@gWd0U+d;wO_tlnn2a#@~Zk)~)~ZL@2I3EW*1u8OdyFSq1>M1^F^T2$CAX;pr?~JG^<*v$7gRHvt`w
zDfsdYBEIUC_&pR{c_t?UQzgTQ)g1Tco00_>;XPW#B1P|=-!xnmaUILja%$I1XSg*N
z1|=e`D1;kYr51{ocmfoUXO_vKf8|G&1T1+fqMs9N8~xuc;0)!x>BYA63^g(dyl?sY0fGeW`Qn{fQav38Bxd0y*_P~v2a*9xui}pt_@vrG^zQa_9&Gh`Bv>#u{eI8GmgWW)w@S;Jcoi2+1;?
z<(oNWtBjJ#qJ!)(V3YN>V;?i?vu<{dcamr#8<_%7gEbGn&}+9SMeJCn!@xkS5kBmR
zR5ZTm+`&ZT-i5Hhxmcr_Ai7gB(0=2VqT#X9u?ZK`)|oG)Y&Jr4F~q3P%j%5xq5Y-=
zs6|ba`_y#q6PRE(sd!E->qgq8(wD?C*)TRTITa9&~O`ec9z*U}(G*
z*u69_d2j(vmFw`oT~N9fb@O4QD#3ym@{h^KXP@1(B?Wr@C(^Q7Z+VS#MZWM0kM%+r
z3)kJED&MBxX{UEw`j!w*S;%ZEUxn=h1>2O+rcV3)FO(j^AcMIqL!&ebCF@{Mp?W~r
z9s`Ua0qW1~Z;@u(pc1WOA%q54IAL2}YHuJ)HSu^lqx}7jp~bo(7PfUv!wHpo6(*Ll
z4pB^}$<#2sdYIOf-816oC`}}#hm{c0VFFT4?WoZOVL!0fX?Uv`9#Y^5>~g=O#sUkM
zkMx{^D)qcvms`qqJYkv$fm48Us%Su)ZG1mceF3n+vV1HM)@PifjM8W|={X57!&um(
zxrfxM*SvB>NFp-c;)*BrS3v>Ga}y>;0W@&PxyxUK({*$}Mqk|C5&K`zc_;p+FcO?-
zQP6RxAcE76(8h+Ft^0)0Oq`-`_yWgj8}3g)*ok{?hTd-pF+_KMq7Ks|Pci`i>G
zpb+pDhtqQ_U&eVmwwLcP?uuN`l~B)>>xyG4S@&|pRe*9LgliW&nP+uzZ|#=fm4lDG
z?y!Y(=`1606+s4sgjI8q>FhiH_2Y-%=9|31YzYmeS3(l1Q6tTmdjB)!W5A{Zia@Ldu%DNGl9-EyGD|8bT{(;ET*e`xhEo+31XI~X8iy(iktCRM^km9wWjInE
zPb!rKO!OuBiI_i2E_wjXHw6v7j$S&V*lX^
za=hlD<79=MWW8utNmNdUgQPozJfXs`*bBtnCz_lOB$mSKiMwMiq4VEDc;iGC$8g-^
z)<%j1=~o4pK?d~EJQBGw2~q5B7SLGIf1ppTsp>=@SsZ=fXN&)evZT_1(4%ZJR?9TK
zQZ7k>36}s`2bj_}l+~9inz`&5b$$Od@5`FKub-b_@>vp5pH6(17An7JV;2Ay-;MRp
zoL2KKD>~sPUYqqxuXp`?o?nl1!3ll8W~H_G{h^YAVO2tU%t*QPfI3OhAh(WT=@j@3
z3`pJj_L11p&{^etLpo=sy4;I|l9d!SVxxlK*EtxPkV=+hZ^c%7yl3lgJE?aLu|^X+
z@B99I>2;1iWHjkrAwWp`8lzTnY`0Rhy-N;13qvAl0ZLW!0C-4JJg0+mpkx~JDo@EH
zP4?nDWvGBkiDvS+=Kn<5=^g7QtK*JMofs1Hol3s_t-lxMV@;c&xMK`upDhuB`3XoWFW9A#yA?(!~2i-<7qL{?V-#!TTKxCc|Te
zAmG*PBy`aP!&
zBse2Bh-2LTrrRjMiIB4ktP_qJyX+=NW5`Nh&oaeD3p%0iNzHOt#%{`BXN~>QNts*6
z4~+)*XNZ%&WOqN0bNNqy2;`mqF?fZWrwfaO?j&A94Od*sp6O#Mp^1j;hN5btwYby<
zFQF1PT`+{~`XqW@ty=7jpg#wOoBM+AE5r*fFXa~xmNy6@;-`
zt~CdzuIfc=+>&E{5h-$P(L5tN!WH}ufZ4{)YKK*sa)81U7AlZ<>dg%ynMXYP7tCpA
z?FMindRuC{rK4DE_ZN%7U2(zUS>BAMm3*oRGuJ`cWHp!nozV_kRVmm3#rXKk0J;8ev7MiFGE7#4kGAJ2I(@}dj_2B;Y#=jk?9Dm3)-Q=GI3So7&@VYuaPc5z$gMqPO^@3b5e&R_(u7V*E{5;qx+j%qZ_YVbD5hVrAGX{_>go0a~GQ!
zCVIhEAw3fKUZJ~kLt>i^cy~WPYeeIMyCg5s$*T!P8DHt
z9+uu}i(Z$$lz6APd`Okdp$k*fo_}-yMBRD(M$fl%N__ZV_prWMy!;@Qxxuy96L2n-
zL(VYV(xKX&0UHH}S1{&ND}z#DjS|07!$gih+~3nGvCEnV*_TNdh~W(oH`tvxp6(Tc
ze@5kgeGkn{n*8D>KPRyOVi{XsGu+^P5=|W=`2k#5p@%jcuxu{yC(M7DNWB
zu{skEzdwDib;CYeyi8{8Vp{xizugnZAiYgE=c{d=tM7YpCb_MNmV~k8DhnsM+SX+c
zOK;UibC035Q$z;Cs^6=~U7|=@%C@}=y=G#4cw1-J2_az9?-wpj(cUvtEZ-|G0>&C+
z=!Sg8xc?c%-k#jpzhs{6K06@#)N;pDs>nDiv<0iIdT**(DFsw3Eu0@Ny?878n1Uf?
z1xal`boQOk#Y2taKxgw=1CNMorR@P+Iv%M5w3kzcAR>p^PXojYY*n##VTqRPr_rNt
zwQJwUyNo|IdHHwYRBpfdTIpq}e#dM*&VWRm16uhH90-_IDTudrf{G5-RZP9p)^*5H
zf0$Tp6i5^Tk|~B!uNRI5kLzf?>k)wL|FZg4Z;cW*^=MS(+2#;Y1eW%Z>{+WzdQTI#
zxn!r1?SI7#Eeu$q2*x+X+3M_p2|yF>^1YFzBk2SYi{+h%#OD=%=#4p-M%0{
zZB}y$xcb5X#g#1JSZQaj2t}1M6h~?hDnk6u!3omttZsd@Z*w8~8Du5(IZ)}i~NyM&=$gsu!T0d5OC^Dw@G9Y%Kwu&fm2BLA3
zDiNo$?&cvI2Wa6PYV29iG>=ODTWwicIhw8$zsrTENSYcvxd7E)fGSDSm9cd7$(?$|
z%psDmz+Yybj8W7B-o<@iWWP;5mUMb);w>U;1(|q8MR6etJVhPVWs^1#wK3DWU`ismF{StfV{Z4;_uBWuy=@
z+6PphsRo{Fynmk+l~SVAy6#a#)3Bl`#qm@927+eG<IkN$_LSGAkOR_QnJ-A@XCx(W^Do-t$UA3uoF84PIw`-FC84IuMVh%EkL3
z%HUw<#`KArA+4h;u?!!;r
z8Mbd03niQMsyrnXI2vPq`I>`jYeZdgOir_Jp!psICn7P{JfR2f3yNB
z@(E~P5#T~V;Q|H~B=e;+Argrbxc2&(_q2R~Y96cMTPgYY08RP~#QS^`{re?aA?KFK
zhJq5AuFF*J1f1q7-K$9IZjfD@14JNq^1}e1{O~`)QqkAU)o-S?#ripo+AG=_k3nQQ
zf!e7My{SrrWvFpFN}o!K2wT_Er0aANl&oRB+7eUgZa9=wW&
z;VE=A9wfztb)plhcBa7qBGq^XDPR^Ei1
z>u7!K;M0LdIfZ*Ub|CNwSXkva$Dojwqj2bBaoTU%WMI%!&wB_%G1lzzx+
zh?-{Ri}okWcc^DiKR)~)i7?qSNRg>d2~RJ
z?aASb@PA4J6{dP3SyO?<>wF7{OHvS{k0jU3NP>zyv9``y%K2cax~p5)^B(cf7b+p*
zXGBQ-%O+!f>6}IBXp+GeRJRkV?nWD-fADV}d+Mi3>Um%NfHvWUSQL6-*C1Y)|B??j
z;kFWd*LYjiHLB7wHlYI#ZdV%g3@Xm#D6k>o{WK*Zk`BiJekVKp!-&BqMHI@lgMa#-
zs|su_NN;_pJUwWj0>|^{ikcLlJF&M%W2bT8j3WF$l_5>4%Aq*AV#5nbA^Jf#ye^q;
z`k58qV*nWJFctZ=af+7qym_jQ`BFDa-Ax|g5*4jyXQ!MMRTUn-J@cV=vy3&qQaCOU
z$!@_Dkpi#GdmC>|F*SJuk_!+e{(xJ-(0{pn;`^%a8t3iLG162>j*6X9yHmF?zrwx<
zQXM&>1|F*MkOy_KUzf1|xyTAO1h&)U_*aG-+%q-^V1tT^BTT&_8l1=u=^{C4)7ko0
z6-Vh}j`k0az6`E-m;VvI*aKD9Ez}nYkmuq^3p2$SMba|KBptd-6EbLLbj=-Obh)tg
zxnVglD9H?q9^2ggl?q?x21_zh742{dc;A$<#eV`Wx`p>5ht;;|3u}_3S)N?_29dlo
zIMQzC+c92rUo1{(fW7iqM(4(V?#UX3ZfXbZ6&fBuo-{hq9J4bA6}BPA@>PFA2?m|b
z2R#tViyhyb?V&`nPTdenaY(5Ls%dSjgM-dLUnYTPvdObDLiBS_NR$$cv&}J=tsDD(
z`>d4aVNM|ggggDBlQEmroC+C9jAwhYU1ZJJ_drLV?Ivv<*XrrKU)9FG)w!
z*V@~C-KKokl$9Ire=m}L_I&FqF?5ya-0Fc=&Swh<(GF%kuP%+p1wus|APCtN|Hx|X
zX|}{#fR}fw3uP-8XQvw%^=&O4rp;`n)}M6SB2EstesJ@=jkxf^?q|bUo1;4{_Y0{m
zvQhh;!vq$~SGD1ylLLD11$cD{aAbKByJ9=z~%8o-21$;@^SX|
zd;WDtz-sez49pa=0Q*M{e(i2Mpi||t~jXeVUa;8Y$>S~Qt9S?
z{XI>)Y0PiUaB6X!h`S-S`1bcDxOC6^{~oRo@iZ*%kw@nUcjmFLOu&|RH#LE^mh<&i
zCndLe0H=y*cd+#)lzGhviW$IFCT|}5D;M5;oaewo?&3Te?0!u!lP;G6;?xHF&pF+n
z2r?PCGYd7ukA9OYPr0{Ao!|B>yZJ~m{O;@~5rn;wn|^qHAySimU2|vfrwYyaeW1l|
z3ldkuCB+Hb54m@)%lFS5vDpNOZKIP%d~XYaVPtjqePQ&~^yWu#r(gF^_2ge`Ie!Gh
zkM2of#sn)2v0oxQEFa=#vtlkg?bv5|$sH(I=eKa}<^OO+%j=B~r$1M=Q(PFlsz3|k
zEP7pjmrl!erWif<@S~&yQg)>kr+6y*L-apC&NpewA7JOk?eh3Mq`MXAE=}m)PaoKM))+D7mfc$EhHG^!bl*@|!dz
z&ELo|K{mJuV@?~UyhclsK`!ym_RV<
zdC^%Y?P(J2|EtH`1@EGesakdFJU9*Ufav7<4ImfO=7%BTmBerEd_AFE&uh5K9v@sV
z65AZ1#G@%?LbZyKI_cSZ8xVyAD*DX+I=ZHKKXin&4*1+*}0cWOmn4Jy3{zybaHWLZhztKQ9A=w
zTqu&A71&*GW9(+D=G!5?`H>lKGkGrOk>o34V*YjCGr?96MVx2dHdB#zT;VJ&ZwOK~
zMzS-4OZ*?U&cmt6E_~B(dLe-jdNq{L!B9n-A@nM}qX7YFA}C155PFp^UAh!OK){Ly
z1VIF(cQqggA}IFC$L2RXJF`2p|H3|1vrw$L4wkGL
zpq$4JBmr?EYNY{_1AOqtbP)B~X)z$;-S~4>gNLSnxtxH4z!?I7=L4Dl;f}m0^z3#B
z`~PuAng>-)vZNw1CY{y70le89q}ilgO$s!0a>?)LDOSb0uV?C9D0jPUwZH7GVY@%8
zkfZk6-ylV?&OPYP&Y4@jirjkH2HBcDN8Tu%Vs;%Fta=Q?hv>{*2L&W#ZK3%kb)9(+
z3m=oxbJ7i=Kt@3g0BIVL+M9WCd;nu_S#7g%X}mZc1O@sX21!H3G0++;Q^Vi3eWF2V
z%Ut7~ntzVwF3DfX3G-mErfZk&ZT6`D14)h~H`gzwHaHNBW~rp^kCC+WmUtxk9gx*Y
zF|`Y~O$z@jKBnq=VSe7(D`#Gct8HACeSLGUYk|{bqBDy(Si6~5hv$p0{hNc0w>5q5
zv}7_R0@^reB>tRp+OFBQrX}L;Zg0)gb<~?Fff1AzOV?>D=T{NSMiYkBp~A(|%nh4b
zm>b@^rNk4gPbU`uwU9zG_tBU&vF968{~ipK_pHW6O>E0Fay!1o>ZyPw=aj!8p?RlY
zM?vIk995FDO1R(qvTFmK#M0Ah_Y;RZD@(nz^bJvg>>TEu;_RG}!mD3iD8H;!PxUm$
z$#7wHL)TMgUQtE&MfZ#_pV1f|!+&#F_dX~Jlk*ax1qN{^9G(Hb2tHXMxD
zu5%Dw(sX^wv7sY>JM=`$?bm-kT&|mMsy95Eie<`OAN)>Pz5YT`|W$q$|R%V_cj05TKfvK~Pn%=}1|PrjcsJ
zawb_TR4S)u>%@S7wQC|BuPB-PmwjfO_hSmy`Mw>7MR>NlWuA@r44bM(0U0O@v65ZW
z2~5F+eH1+{si;wtv)m?yo{^LfC3Dy|7M!>7=B$?U6x;yP_E@yku3ro0ZXhr
zP%MIG@D>ApSd#7FZXDw$)ts98XD7vIR=M8tH|f+V5O7^r{e$cD80#Vf7Zm}m`af#Y
z3kqhhB4mka?3Zk!1PukhhC6*opGG^YNoX_pB^6W6MwD-@%Xy|Jbps?zKhq=u;9jyX
z2L$7^`H5iXLa&_>beop@h7yT3R$Pc#F>Tqbfh*$yJy7~@&lD6b>ZSe?5;zBaS}#nY
zJc_b-GA3u30*oH3^%+mC0BvyhR)r_(^u3s`AB-Nyt!IOtoE9rCD9ZPlRxMr8C=q?m`ci&4C$*o1>z?cS
zqh?6maTksdrgzW>^N};zboR?G3eg(}ll>xwY3LT|l>ADc&aErNI)CAr9|vyy?t_ma
ziVe)?zEwB$ITKX^@P;lbNZqKQXD8lyXMo6A$9{#Gxb#Z8#Tk8=FP1rQ)NO>G)VFZ
ze~ADY960^7c~#s)4D2v^8eNleK4JjvG)j5yNa0k>qaj`Stt>x^TrPV94V81X5ZMD)
zjxug(D4=>M;4@kFxIt_KVOTmLAECYJe9q@&y6AraxMp-9dnnHOhQmy%HGGf@GVcir
z5SKWcHvsX@b9!Owosu`f0BhSMa#$9?VqR7reT=vUuK$Y#&QFP(tT;K09y}=UW@Bpv
z_)|o66u+AYY~o|?L5Xf*qViUW)MU#p1u!hQIN9p~$Ap>{u2x&%{QyMgHY)Ui4PAV$
z>U;Z%bk1K>=&Raq1*U77C{i-F&QyArZyL)2Cdx?39V%{MB_;0*j?L_4qrjhD$RL{(
z-#PAcN}7|QMoCxyD?QBfITdiP
zKs9ih3P2CvnjOjr1T@LU>8B{^x3Y_KgqSQR3_NP$0A`RH4lrp3d2-O&xRQ)`obpP_
znr(xjytBXQapBMqx45ZNl_1`Q4H9)gf&P+RV_1co&QG!w
z^Vc`#1}hSVB@D$l5v-x2Un{hDmF)ZYGJr*n7L^Jk0I_iReR<&sC`&~^K~={^dq
z!$BM1DIMU&c;7`1^Y*Lf
zIi3G?9zQ@3#CsnYV|NzBZ2Awts*JIPe=_kf4i7FEED;el@RM2k+Y&wfszP
zd|B7a$ws|!Cc%6cf20TE@X_a`dCev;5gkJi7ci=H7ys3W=d3dDb?Zlh%u!t;{)g;`
zj}&We@Tc8fLb8FpWZl4?1-G0O$2bGSB%A>lhgvAW#ge$xAi!x?`QRdv0esSA?-^NbS*j63RifS$8f-cBsf-V1?lUc8==$e;sc33e1yakJ}7;}};WD(12UaSzo>fIfvfIuCj{_?`++QhrTC$`vE{FUW#wo~3`B
zMtY%l8?KVpf9qX7+Bx9K;NiXY4Ev1Cw$z~LEmmeZOVIq_f3(Cn45jbT#oW8S*&h*o
zaLHKSS+w;$+PD{;O2y>!Va37*LQi;SVBI$2V}yAKFI94L?GJR{m8EFI50G5n}@`r{8s_B+Ofri}~V
zWYE@AT(#_0LSWQ8+VnGOMiY&F@-5yJ#BZF4LxVzf#LTSqRSyi|UoT2x2U(|GZib1r
zqz_|A{*OKp%r&IJiT<5j+Nxga5`j{Z8-(|DzDLKPTJGKsJl>ucGD9%W#GB=!S;OfG=_n28{hVdO03K?3@5im6F1>KDMGdUEYi(JK1JR8W9hBCmDg
z&xLPk-al1!*UkBjAkOruGnbCm@`zBIrNHwc*OPHWOhk9hg2%=})5wDc1`_@=I*}p;
zL|Rhmf4d2o1S&*>N`OKVl{Q$qGdA;voEpPbsd`Bp3c8f~Oev9FZ-8fN1A*P(y^`n>
zbv@U*g%|U~c$>k`A#NtN8}X?Kan;)BJe~ba4N4}(jysXPltwOe{%BrrAsZD_EPfu#
z7o#3U>;QUJ2pAnQ6i1HbAgCWj*PtwCF_TPW9aO)SiSDNT{RY8wkXLQ!h&ibLrU5S$
z!%yGhy$9l>f%wKp4=N$SwQqT!)!-_Fm73NG53J9|T-O=+qKBnZN2riBve{@0%%627
zM-e6OsiE(p6{7U7Urw5LA>Lw>*ZU=@lY&ks!)Q#lD^m4K06V{dqt15J?HaRp7xmK#
z>?(;G$sgmJr+MI$!vIyVy!JPS!dqG^Nb_Q*L-~`T_UVSwS8D}XMgePm&MSP}-)_6O
zMQGwk>|ZkH}LazO#D
zdre(`ZZQmY0td1aI^o#kIHlA8ln-{0>}rnobQb63Eep_0Ow;`wUaxeP-Z;fgZ}Di~
zJPI}a`0RMwVfoDmAqu})!{STVCLAz-oMR8bh0BFhQ##b^qOPVDu)M}q!oF*qcj+hCNc-N
z*pbhaSH3Yv+)cf72RCpnzl;of;4CD0qUa6J_PYKiDkIksRb
z)b0+fkHIxL7{Rk4re|ZGeVxcue@y(Bx04~+O+&eQO9n0xOAJfCRY>L`2fGNVN2{OE
zbTWbj=zg`obSgF)3r-8&D3OkPc3g(d-iS4H+C>pQ&NY`;h+WmTMst;1QfS1&PAGZwn@hnQ+_kh|mI
zyqE5RZ@&d5e&NF5LYVHN6=Xi5e=+`WF;RCZC4MQRe<|m1DPMQFIDWZIxAq7ss2+2F
zIXbWjt2!9wq+ad0!Z-GhntSp^)I>@h((rqBuV+!
z+Oq8sJDcs9v+p?HFC;0Y^W+1TzEfPMfAZ9lSKS|b<25Y!*J;Sw&8sqbXU{K-{w=zp
zZ=I|5;HnJ3_otBZxA;&7FX`u-awxyF6Aw;uu6vhXtv>0(RE>}V#Iwi%lub~_#fHg~
zj1kg`Ln?b0XTWagWTa1f<>v@!$NWR8G>qm;T9oT#s5FihE3n!59Q~4fK3pOKTj}|Y
z+crs2bCoJ{X}mcg4rt(cGSymU8Z9fd;>}gf46;(X@4-JN9DBtMy1(yX1u5_=32huiI?h7cUZn
z4bBaK6iyD7#6{D0?@LUuGkoWGHj_9YqUlsRQlOVNxFem|uS4s_zb#F5D
zB_A6vnZN9pk;t;vL;2cAhV_&LURIQKNVPR~_6d3agjh3hwl};AhY1P@=~Ao_vaeRC(S<;rZ4=NY8Iamz-M=L#Y|Nn
zS1ET$gl}Xj*maBF+jDOc*DmXjrfX)v;x;{j=vv|M?wM4}BcqA$MP0u|vs-Q;@2U@(Bs_Fx!OXxecqpK|y*?S_cCFlD8kyt`oK+h4$8
zpOtf^sjb~y&HPz!RYg$1&pEZ_%WrZ{SPC2I+RbdIRz#Xb+z^RcN1U1Hc|*}Xv~|qd
z5|(~rlQJQ=CbJwA^-fk~RbgGmQ=q%3ILPno;w%sNh|K+;0LLWK1
zu^+6I=d2OKi+_K9+H$8cNbsgJ(f04&SlUqZ7v@H_cHxN|I*&Gk)eZ7w^o6~W@v?kj
z`JDc)FXsea+;~#7easWxZ{C0Wzh6&IS;et9+w?{LHJ&K+OHeWG$S{u
zRLQ0#%%Y}`%c(+%mQrYW`WkRtlW;U?OoruKx4dOXg_|_)LY20B$HdjHg@zG-K^VAdlBCU;%0-yCxvc77-!yY8mN($agWqCOBjn8w*dM?UKhfSxf
z7D@RJ5Zb?p%he*QU?m}24blOEZnv(W
z*wV0|cQwcpVtr8Az}9@1wO}p-Uii+DJ8y(cQ^yW>x+t`9e6QSnu#u=@eoHl{cFOY4
z?}maa$&FIqc~5^`l35_zH7W))rO%-_ca`Ce>6o?Cv6;7S3UZyX8=jZCSukk-$EvnS
zVCr?v*l4TyB}aMnJnPSrRi%?XwkjKe2B!HFJ8?X>E^`Ojt?^9e%X&2ceXhn{&76uc#8z{itfeINlDgk3*~sP0
z*}DtU9bw9Hn)_M>!>LX|N;CYy7UE5VT7`v#44B6Ut}LxMySsNL96~r^D<}1~ZoK)j
zAJFZ#wu2_#z%EONX&1bhD1XiYKN2$%Y=b
z#H0OL3B@al`-8zfHM*aG*@uK535HK>wZM^V8}1AEWORtTV8W^^=|3f31oX#6-Ivit
z=$8{nKdLG9RDOmK6Vc9-foyAy=9zJes;*O;(1c;Cq<^jV!)!@FhfN2k1$
zVFI8MjQ!;wo}8p>6?QIs+D18!-?lq9nL6gH<%tvBS7$_wuUH9MbvX6i8)+B!K4qjH
z_D#ifNyDcw9o~Um&)on<6)(SyUB|Vk2LRQ}dh@FpWsM&l7pxYPpTk!$pP~!{TMjNi
z^xqupTQ&~(;+fNY*G|dJV$`Dk;x&uK5G}P6BmHc&H{zQ}ii~NWXAy6RvUO&r<1MU@
zk_q*W;-)ZycG>pm_vI*#-7vgjbUC-@w_(v50-Fmk^KwpSb0v3+udO>dq?#GXalw25
z&6oYp^PY%s6#;F-SbSOZJ~ncBH@+~&Y-;aY;1T1JZ)>yor`%tK$N@yv!ruo4FDln{
zPfB*0v9X#0KORUfmL#0Lv~lYA!}O=qRT`^a_-vA8QbYeUy<_J8oOFNl&R2Y@xqY}9
z=kZ;^&R)W#%nWDu#&bb#om4Yz;orI(u6|$Z#__xHO)5n556WluG4I%Tw!J60AwlNiR0bwu|9J_jR
zFt9#M;j4zo&iSJRjBU8N81y>lWq&&(De0?UBDKeVaGEw@E$p!<)+|O;nFRPKkFsAtll5hLlR`fJP5^d;g@whOR@1{&bspTYV~@KI61^gWTE6
z(ng=@Ul%n5{Bb5WXP*xS-QY=K5h-SRb&={Z-T7WT60&A835eSGQ#jt!>3Z*-QxN$P
zwwe~Frs5Z+uUxag$YtWoC&8m##G8;7PxVbbzl00W^n@qUzu|Q#{LraI&cYtfkW$Xf
zbj#S$w0Kiopp4la2jVdh#~c~Ad%zAGfO`OOS(`dp#EfgdcoRphUIV~uT1Mzpyw`VH
z!#$hm!Xr39$_nOmiS87k{4%@k605;Xr_aP$=Lh$>;K;aa$TOSUB~p)&F^@-s#z%4R
zbD4i5vdil@8c8D2=QU>i&)*o%xv`xMyBv0MRQd5RdxoES*InY&PMi)h3n_*!E7kWi
z$ZhJP)&I)Ht>^ys$33BC%+>0DcM&xDnZrZ^-M!cTnTEi{^BUH3e~n&SkIH+J9_eD2
z_iB&|kYRdx`Hi&@-N^j<{5&)Yz@IEon1;P|$w3uE$+!Zk&jk>(e97fB)#pj@FFAXo
zvCD(eeLcz|WtIu1g&bi8emkKAP`=T8-fQvXb=Bhz0Mzz5_lS6rfombu8|P|*+bcaP
zde>9*$}rugx!7qrwA-#2Y3k>5Cs=q^*Sxb}+J&GsMN)pB$7NRX*AaLAWMPI>n(w@K
zIFTnSQsF_mtaSAC`Nm?Md)Id~>0&ZQ`-K6=z0Nz-)D
z3MjL+qZga07GEk#`C3NkDz7&?{-UoG_e)rC6Y|_d-g%~6e7daTeqQ8Ig1xMlW&Q>D
zbii=5{_x2%@qu)6vGPaJCm)xU(Pt_*3M$4oqNd+hepjh#)=#@wCUfI{6{6YYVf6JD
z0qLNPs;l7Ybpd==8NR8kN;^W~@}eRakLq4h`KAEh#;azElDyG{e;C-=%O{tR$p*RTECQn4mm>)!41?srv{gxA@nns6tJcobbX
zKS7|piXbQxP2>qLu?@Oht=!Ekm3iY{cio@mIt6q8>l7kww4NuBbk+>7xy-GNHWLYy
z)f+2K0AISzTS;`IeL9h6fWB_oYIzimhsih#IC4wNHP#nbj|XV%*YWuVCb?#?#I6mN
z<*6PIYJ+XHF#+m^iKoqbH$*w@mIZxvJz=sr(`}?+1b~
zN?kDBL?EoG_r2--eNtLxv)pcW<(Rnr?#*vVEtn5C;XHZsTgImu*Qm_o55q^z6>|Ai
zyWIW)b!r28%I3`~nd--sAiWcN
zlc!)dn?Io@^Ol_0&AMWviJ9`0rZcW?XM9gOm`G%1uCx!sLPBEH>(#k`xi;iy)auiS
zqhFiO7o@^gI?~n68j35(yR8;~a1J==i~G0#X_XvlX?MA)TVxm{6eQ&aG-E$>b}z)?
zzkSPNe5Z#LWl@0zy9A?k8Ooi90BPN)a#hl>)dwKOFvMt`_S9K
zLK++(y|w$i{`Q`KD4vmr1UmbI7L@?4NMx)llq5!o3_ek*q1C=M?G-2}Nf@7Rl^%QeWno
zRVG-L@fcbQmZLuYUcreE#qpAHyo@LREO1-^Yv1Py#N#M3A`(Ev0ca|~t`A^60C;DF
z`w0e@CC+m(0!ae_0E9$?D^PI?odf<;0Gs8&_YV=!0f09cz=k3b`RK@l!Cb=A>`)|<
z8cFnca>Y54%_dTTfsCKR#fKsy2}4-wfTqV|*eyWk5uj%|lug5Kk%wAXTR)^B$|E?E
zHuSD-NPBN6J`WA;;)t|i_w`^;BMoVWK6Ss<4_k|{7zb10h5^#Ecm~)v`&ne(Fc3Nz
zEZl$Q{D9~700jd?0>IW3BA$u-n}1io>?i3q{Tg>dayfL4#fmN
zEzo)X^x;!91JJ7+T{_^{B5=gp9I>}$V=rYxcyz{w+MZghJNmGnPQ0}>kJwEd&)x{8?78?3kBF{fGu@|RhO9(9=Q^S#1h7q
zvLC?W01Pz}P6Iw+05lDV?*tqEos5VakI$a0`T!j60eBn;z=34fA^-){_dNilIK|1B
z`s?v<#{#$020qXRYv87M$S(z$U@<*J{0zW60-K7=H^wf^T~&c_OIq*4(Gz#m;Bk5a^hzW+!x|S
zmd~(F`{XRLA1tI}m&+!4Ds&gCtd_6kEY}_OUJzNz)m>^;T*hBm;0#^Lty*Zou3A{E
z_*N~(imcpk?t)YZTKg**{jW_cUguh^HHy5^XPdt4xzaze_9Xtz
ziHfxw?MI7Y*f&QxZ@$LQT-tvF&%O2V!piGcYnTM4y&_Y9v4;P6hkf$Z&BIsx)pw>2
z=V$iU*&i-{TV3YKU6J^2z5Bu|k&X?S*je6*b1cIgJ5jd5BoP=L~od!xTC>@
z@KPcCp;MBiZ0div>CAU?@`yqJn0xW=XayN*-FNK(nb)=*QQZ~!8X0#6H~3+j#Y4Z7
zv>hM2)3XB4c@4jK01d*y(rEA<5D?h8v>tbwz>b228n#g8?a5YEY^F4qNbv|L(O8^
z$L!C0=3KFFz4f42&apq{{-&FaIfJy9=+Gkd)u?_Ha%^EzmExvg9MdTZvx{@WKfPM?yEtr4h_
zkI=hvNoq@Vh2Q=Oz|h@>Tn@z_F>zV3HIQiZQ*7NwXW9SreC
zhNfcrd}sXYEO^iOyQPcD^>}BiEx3qfh)Z$SCBxn~zfG2&;cv)MUGevE5DeL_OVP2G
z$;+^UyEddL3ZC4`cfl7oT#+bn5x-_bdGB57?7dW%WyoH(RetJ1*{d=+J5#?RAHjh2
zd~#>Yc^A%=PO$*3x(x3ut0tGm8jXv(oUO6mz0g6IrKYTI1G6Gok7_N#FbNCkB7LowvruarH}Lv<
z$5>-z!KXS+c;CMoT2r3iFPx6p%{;S0tjA*G
zNq#6m9;boWVVs;Tt0KEcKr*|(kk2K3e0RJ9MaO*P=PIaBJwpGo34bz&Tqo&@L90?V
zRp~yOLUrOh2h1Pm&#hL0s#BZ%Bap@kh)7n63VUG1L;J{i2
zwneF`KRbfhPCu*1zPJYYE{5Y{>s8cFWT!l3ocM3&+*1_Ep`)VzT(l6F?~E}
zZ=%1DKqo?PW%`=6kN#R66{b0og8&+BqVF`xv
znhvR}bl#N2-~b4wmH`LLLz_ly;_R3PcohwCexED|h+ZK#I{d9t(oS}ihV8R8=1T3P
zbhmD)MH0nMjQjp`8f>&1IRDWgTKqT^Tp7gcr=)+
z{bAFr!4%nyJBg=wd=~o|fczeE@A(-wMf*&L^c3ildE)&rn-;Zqq>SiiC%mvScNNm#
z)ZNb`s{w#RCz3br`9yQ@goVmOd)2?+B}~zV#aR#X1YrKwT|+8GNrFV1%8?f-zcy4)
z?=|T?y>w&=fK`)+6mBS6Em<>7yCr99;DAOV8mLU-1Na9x1nC*NQ5yol4opS`P2=?m
zxk2DD*EVTTkGS%@2<9cFg>sroZ7w8rC!?jIbyInYKDZbL6o7}}C?v542!s+IR#SZPY;R>}1a%O^=XzK%S!DSDm6g&~7>p>x$g^?9#4{BmA$+|oby6zxg
z_gJ-qC#PMZ(WrcP^7eR7E&F{#>uB?Z$99`FJny#+g=K9rxUWdiMbbIJeAnaL8fq*3
zchoQ-0Asigw<4K3N66t~HWS67zRQ0BuFTvJE+JSrrke|$6!$)p+{vn52DxTFyL;5+
zP;6zT;9~BM9|hC+0+A6!a61#FL={_|3n9YvJvp%#ZdaVMt|s*X(qo=vNUcWH%px^
z#MPoy@W7$D{lCO><%3%+M*U6(uLMZqo&i@17=H3+D+odp{})`zmj)
zLrt|cOOazO_kxuNIkIb@jUC}R#6)FQ@8xcmjYREXJn7q)Z&2hhpQ8bOSTYu-;A7%?
ze0*8!HdjTuWeMHBv>B3BZ4|Co=$6i=!}vlTBH&~g#mN@sp@w$QTh4Y5!UW9>{OkSB
zC8^b-?3wzH6uvX8D|#ngW-i!{McVMt?=}9|Pj4%l@{Nx9X;S7EEZ=)Tm(__x+iO1M
zm~(gUX4q0!dE9XCjA23w+Q=hEQ;qkJAOynXKyyM->(Teu;n9ml>qeG5)l^?%WMsde
z@Fax$|!N#%UWmH!uYOG;3k@r4Wv|yks%{#ChJMgxxgSCMO?geaq-%#K8Nf
zEc_eK%s+T;@%B3qM>+%IgcPnXHxqaJN}l`F_msbZa8~l@vhCjH&4zqKgR++%dg_Zy
z6N}mrPhFNNhMlYxyc)0+R3G(i;*L&xT+%g2#k4_Z_bi)LXR`^hq^sq@{B1oveyCi6
zk;!Gw@wg!QZTVfQs5SaFE_p*^9j?!Rw>>RoOH|E^-I9Nh)BnO`?&oFO*iCI473R+l
zcSBokZ@%*>p5^<5{M_nJC=r>5v>Xklz)PTdv)!ZC1N_XtIN98A&7+#V^REp8bk^X
zVn~Al=i%TmX!?i~fnt8;Cy$&ar=mENLbK9lBns&p6nN8#pCh^b_{|sO#%m?A8YL(;
zL9t|QWOVubIDV=N8HtB$0}qytmP
zCjj8Wfc5%8od~c?i_tHV4bOpm41eGXR3xno@a*;(;_DFed&%4RnVhxIQkR4+{g6`x
zn8s2@d=x6q7k-x;rqGz6VFNbAiF2RFai?WKl(PYwgij}MDo9{m6aQ8Q*T2Mh`RfT1
zf%P!WefTT&!IBJNBN+~&4I^_h`w+<_oL8?6v@67c26HCEM5mxJG{BIVpg3x6{!U`Y
zFiqsM>{sVACN$6<637Pt5)MV0B7eT8xdG+;)+~aFf}E>Cj>+IOVSq9LeGA8yf{PPK
zgSkvyPU>V!Jn95#g~Ix8Iy5!JgL==<;M@x{vcg@#W>nb^qxt>-4a{YWOu34pbq{rE@#5|
z@L*$z^>UGaC{l`09H*L$q6CG8CTPQe5g76uIop?v`|=%X!+>y*ku1;52^!Qk&uUTg
zy3()niK*u!F9jdtgpy2f0-_TQGW5JSm3Er#j|8wmQl7N1ELBbuN**5
zk@7|mctiDKlPf-VqHtE-VY&u5%q(!Ffm7&H
zv{Desr}WFq>7?j50I&>2+p;*YQwdiq)PRZj8v!-3iRHP=DO+UT5pf-xZz$<~g94Gf
zIvW5<1Z(gX!<1{_f_##c8^Qzh=6U+Z6j2YGL|;}%J__#98FFgJkHaNlWt4N5=)P@K
zSGb@fuYAOhX`?h)`Vk!Ed)q
znl=iy(m`CscfdsR=Em=}sY>}5UHH8Xe>;gZaaw(czVXL^2cV_DntmQdxE=K1!?p71
zT#Yd?TF2itex0si8)#4(#SM_KxUou%Z7#q>0DRnePAzLaIx*lIBs4+6~dT~4qhTJK~nOutngbmp%)ftP$s64V)?rFQ#y
ztMHFzAN>%%(zvdO#0h$Lr<|jn+gY$}$=kBHFdT1oOxM;?eit+IIuECm>rc+pPG_s+
zc!^ovoVMMvLEU~RGKUv3fmAy{KwpZE90!98-kV8b3!
zjUK}fZtAhEh;_sw8sHp-CM}dHD#xyv_onL`AcSt5c_C@=w!xa)@>E@m4NsGSJg0G+
zgSvZbC<$tT>qUSN_q1>~sPL)MyOOraS1QEvO6jp|lDb*F1DkFoZJZ?^}|I7yZsgpr7Km(Y%RUaxg7umzAXe`^vp`&
z>d<#BsLidV4+)8vkI7LIHy-w91w44D^=d`J`A9S6{jha%OT&MQIGG@8AMH*f{Ra5w
zHfSy66f=HCJC^R=wG~A9S<!+2tUMD?Flu2p^x+rE#w;fNE;dj=(dsZ+jpgIwaYZXRh5@7ht?Qe_2@-um*K
z-%PvV`hBWv=CPJ|X98}8=A8F11bk!|wjNcn+JFLBahj~
zEacu5XZ?PS(_9C4$EFQZi-==D9P+|c_zM9V6yuLn{cdl`fQW`d{HRcGTE?am>Al6E
zUV!1q=0kn^i51~|m}NWr{dnUo&bB?@gt+4U6QkFz6l=<{oCDYr00=T;`xy?I(!_Df
z;9PLG|4VN(ron=bY+xzE58H!$sx3L&x6g|yOQhkaU#m@5XI%c;T-9t?C+y!BedXTX
z2i&#>&NMdhscH749IQ?bcY}m}7>b63L380HU|S>x3F~!2G{r#8GL73~dp_)``**t$
ztm;}ujF%PW{+P^hALiX|h~F~ohmVgL$3D2UJ$=`R(kwLbUK$s4h-?3V>9N7_E8s#|
zy}!+9@OJmrp5)|q#ulpwM$2ZZXnZ2GIlyDUKG1a)Qu74FYtl3q_PDUPf?TGj4Mt;<=ydoz_-fV(w$QIY9^0m2wiZvc6j0KY&&sHVVjgK!p|A=$?85HgZsLj^0_
zniF9U%y9b5$HLed(Iy7ZU+b`yH?*e3qYH~Fle3%I)2eZ9XX75HYKKU^2=`M%;PhB&
zE7Al9XUXRyXpeUOLUl-RYbIQ(-`>*09rpBc_zMX
zg4+T)dE<4hTO&?a-gJZ~)?X0x4tb{)0HA3{1uvw-V)gf(f@i04vhK-l1(XHn@X{<6z}GUaJZ~D9jNDHKWaM#as7yUKF<_
zshisf$;$`gnH7`jYURvVag%RfycN~&;TzpECvV1%9-op)W%Gr7@x--yf$2utvH
z+-9_u`0@SlzPM9yc9Dcihg7HR=f&v7{dIbp5WY35dptTCJPmUspt}i(!SlF-Lwj!~
z$ae~Ii-E?l0aX%g|G;lJ;J_($U7_pqul!-=Yml-Ud)&g(zRCMj`Ab*l%h5!Ok=HO)cmt3k~N}=8vA+TU7=0iL56jG^
zts7?YDC)KRf}YD4=haP+9L=xcC?Nbl(x6!}vs@8hw``fu@5ZDZTfaf`?6(bW0IhqK
zzY1%3B0C4-Nmmz1rmASlKt;{%*nk+~W7Xoeo|NNh4)|92_uzoEzNJf69
z?U<4pJw>g=fdFkVfC
zmsV0b&bu(6CP?OTPeA84MQx!0P2hlPU3y95<08MO!Jd0XRM?;I`)@9miut@=y}CH!
zxz{k1>lWO#^(&BFgWh0z?orA+7t`LN29^~X+j9?Ac#_G0;HDXuM|D$8<GU7YC_93}8A<4F}?p<3~t#m7%19Qx@v$j^KGt`Et2b5B-dAfC_5Uj_v>rB&3
z-ws`yuG4HC64swVj@b#fyuG_}7_=@RjwtE0b+U{83|-4Z*CR18OJHjmcH$rh35s9B`AkdQ4nCt$XfEN~wEL3sKOLyCAzZ
zPAG7<;qEBUU5k3*ue?n^QrToROSNWxSXy_bXnF@&Wb)ek$b$Lo(t#f@Wa}Mp1M^sb
zR$LqTieHj=jyE%v;2n5Bg1Z;U!vSLHrK7fY2PgcMGvJua<911@ZB!Nrufr|lx?c>j
zB6)QuprNuo{fL}TNu}P~40FnyB1s4dNus2~
zwao~rmQ?68l602TrPJlJ?=Rn9_6O|rdOjbA`^}K2X#V5i-Vcn8zduNcAv)J6=T3XN
z?jI?9y_~UE|MiWQp4#{JL)zxu%P+PXzhBV5c5f&KM(P%vYL0{%!b>aHsC=LpX^*8})stJ@JB-EXlAOIS|sju8!j
zeyW(lnMv_pcFcm+3eRg~@lEG17g1Z2E`dGcbB(%7Q4n@&`@aPh%L-X>RXm530N`X*(=Z+oNM
z-ygd0Th7uKGQ`<7l--R_6%s>8cf(ypWgncyQ725Ro8sB>UtK-Z6vvq{ltH>tyV!3!
zg&}{MryB3^d1u;qZCqbJnp9VYzjB1S<3x^D`8wO?41|Tk+7w4GDwUbX+?}7{R0!?w
z?#qk`*F8Vzg`SFc#Ld>fVzk|PK|vW*RrwKjI_Uy~zT2*V0p%u%*?Cvvf=xwi0>A>>
zSaPvYXE3eTlTrAbw+HeIVY0Kue0}9%%`v+wOmv*6Jm=ksIE6-Uj5pfs7c_Nubr>1+
zkV{(o5)~ZDvl^T)F4nm~7z6~N)zS+!lb7q2Hk@1hn2w#>vmfOV|GZEbxL_VwF=2cy
zwIY5dcI53RWgx35PmS|40MlS*qaM%uuA_>Ki)ynG_LkPPJCYBe%unB)C^`xhZnYqI
z7+lnO^!cW9PzecXj2bh|MIHKn08O5%q^`#E3*qh-xb{e^;1TQ*p-#$q52z
zlA)-?x?=V9Li*UUYHJEDfaWz~Tkv0NQ&fwu7uhGM-QlsmQ{;o7O~jT0n5XO5O=ehI
z-ai)|S`~w&RJA7_HW33%g*Y4pc_shXoUBjOpCUv6KM%jbjGJA
zRl_5Bcl=tfroq~hnu~XjU^nke@c15TX!HCY70*rv
z=3%hK;PyS5>ca%BNT0^1_9Q$jHO}ILV&n>Vi+Ma=Zzf7x6juT2a=eDP-J9TRXK4^%
z&liS;u$F=&{;X3(7|+$|{*6<2&PIPVT0BB9-4ZoDcD(gW%nSfo`Y@}0O$ytye@xS$
zRVk5Cn;15&u@6!2-)Ta+1O1GMT3EmF!SXHvtMsU%>gJx`&q>1s*75%n4qrM}=j1NyE-v7OPefq(ZGS9xD
zl)C8%-|2#LIpPcmthbnO82^s0@b!7Y;_7j>o8)v^$Ybz@X9g++WMlJ|FD9y96WN;m
z$p6i0e5EfbZU(6PJtUnQ8uhl=_SYVyittVdC+{HjM}+AQM3>3@#@S;1|cdR6vAt3}==0%W@{ibskq#M@<;
zwN>2%mke8;)wiihQvTsiu?DsNtG`u{Va!=K0CG$Kcws;!7ReK)2j)l~3I$jV&#u)tyf2-tw{M2c!AcpyPQ{I!6l2$l^IJ
zcJ`tb|75vV*A3rxx?LwBom%GAuUiHlXd|*VHQ7Bz4r
zgs%-S^6IMO{3Xr&ISp$P(bClOsHR9
z;rSeQZB9N-e46(25^Wrc=e2B~>@o`+lF5G@>DhF@q8-pX+Ei4gSZgN2t7;kk-QDYZ
z#kGy|LPq3G-JE!M?DX}+m=aPBdna==drT~>u;?e>a3YK6$Lz(U=6KI#XGs1ttHMC&RuaT<
zP;QTaOQ7iMDR5*t_;Y3@elv2kz_RGgTVzjxa5&6q1@cuN?!fb)VD!pD`KDwaSsU`C
zfbr95Vtb#(&EDaVZ{B`i8RJFBSXXB<$#nq2Itpcl$kOZsJ(gTJk(W;-S8}Wv5Yh~1
zCrgfo2T!Y&I7yIk)N|*}uQs?(uBhHA#*N&PcpTF4L-os0}v9Q^Jv|`27Nj|!w6V`TuVVnIYOmxdb6zFS-U&iCjH$y%f3ds
zNiVlVW!|&Q(IfN0tKN|C?);;6^zBKYC<#PU)^7wL=1eorO5f#q=wIqs3TN<)e(|^0
z_w+X3sg(?_E)LJYJ%e|i|L$5Wex~v7^Koto=kBRn`Gay9kD%%#-vS_y(a5N>Ci82bCzX^&MwMlG5$hcD
zL5}STi$4qYV`xTpe-#xANxE)K*j+r&Z_3%^UPVEl*2bxhb46>|#Hvktm|(Z5
zhuLuGkUNJ9HEZx$h%M{b1Cva^0zW)pa99WHic(9==+OrGgGO%?zHWbOihKYFJ1{R&+(H*gKm(W@|*_QVHF^wrl+|-721dM1
zHf!(2n1tLqlT|*;3ORnTjt|VRF6xSsB)2o0xpKmjgLb&*;d!osPy2aQiZ^76ixmKI
z=$N=l)KBi^1x3I~rTqBSR{g`lFC~@3xd{A=rwY+Ubv3gszNVHY6~1p2^J_f54Lxx?
zcFvp}Io8edmp~{KdD+Zf6t94m%sFx}KPe-!0AGSK9I-BvTzYdw-X7JM;?qigRyBCG
z5;AvNV*aP(d67Wwd{tL17)m60<}a6j?3c6VgKv9Zw<1*<^+Ml2QmD=u_b|LI
zccFEY==?7-=dU5$u;b;D#Q^%lsYeH!QzM_}%Tdm@O`pk#NIw>3yAvJ=u(lDwWS-8~
zG@jXd%{8!`PZKwv!p)!28T~^ppzU(JxC8iX^zS*52yhhXbuy+90j*koQHctADu%1!1J$J&Cv7;e0QNL5oWhz
z_la)UIWu2G&>QH3htwY?G{6n*M*D8M8KJo!pnxsfwFC`qn5`{|F-aW>DzT0F5%h!-
zP&L=@(XD=Un6&r=KWYo)C39&0y>e;fTj&Hhe23`2>+A>l;Mb{LmsySC8*C#PvL*!?
zt?%yW-!8N^7aI69;}U|gQEfwruifQVPs(iZx702o3znZ1EQ7o%O4t32ZhLH({}ofX
z-0*jQy!nL2ji2?$E^LqVd#=_;+WX^f(#a)jO`+b4`+sIDN9m7sgyZ>=2gwobLA}lJ
z6RoWt#j$k#vl7XM=tirYO0Omi;daY5=A*FrPf6g*w^+8LO9+YL^3rS8;)1Jl>S$U1
zF8EFfB)JzA6*!&G%lk6`C$F==Y$>XG#5Bp_=+12V^9bA<@t{YA@+vmu1Sy%H4S#+_
z3k82?5i`%(vBT9|x<>DOxvCf&|895?>;gZV+meUXhrnZAy>*7znbQ6v@|Ltp>>{Ma
zy&Qcfh#Cas@WfcA{!wt8!!NfsqEWMU6qG{3`NsFZIvxp*r>v7Z0p}Avc`<^d=-=qw
z;m?gZy>c$3y_Y?26}RzfEB|SWP&jcBj@+e?4~Im=SVLQ0*^8G;$Wv8LIM=pVKKcdM
zJGK4#&_>qW-OC;cGwmO1URK)S@)2uc$xe7+P>17Gc^{D{(%1j;O>U19y@09LvBlub
z5O@pY)Wbwx^?v@?j)cfXXXH`apFiQ^ABsMxMbY>mCt4}qIeGL+TSqRUeDU=C3m<>;
z!PbK@eo31221p{__OJWJcNr1!7vy$FH*qpJZtNPP2)Z&in11vGm*Gmm?>_Bub+*TF
z>+uwL+`ivv_5}x>5YI_+Ys;l2!%Mg88ZTBz3?KlGwtEKZ-;44p-D!~FVombAdExWJ
z&y?xS*KdmHk5>_oq-+ktE4(xoZxxynHwmz(JJ9G#aY^`S4lIf5;am+VNPUI1sTXX`qMuCW{neT$TUw>k_1U3$
zT~L+{qgG=qPkYSIb&%@|u-J8Qm;3I|xkW-s)~~w4qjmB?U11IYsPwWnmUMOYY|HAp
z?1Yss62}EAdF-q@{h^`4`cuU}yL(Si`H&ULs9h7sar$!s6LR4u$NT-(nx0!}p{@la
z1}FjEcM85)3cZxUTZlGv0s9qu>7>=kAK^h%B&>%PoEu#grqkIkvnC5_+%^6eS=jir
z^W&GB3fBslup}3VeGY2*A^7XNO++adzR13m`M{%;gBh6VvMD1`z~)KgoV}lmNJ~+h
z7YZnHUr(W~*8iGuStqq9Zgu;!zy~-Th5vePJ@@azx1pktga`Mjt5WLfNy(A)ixUIK
zqxkSVd2_CvU3p*A1Sg&61SmR?=bSoPcXUPk=bY!jhq%pfT_R3x__Txj4&YC=f}Nyb
zCxPsB#+LcIV1=ve09~5RkK||8_Lr;H{wTLRVRdcfG&8Gn_fC1e&xWqoAN+5Qj6b`Q
z$R`In{i(9F4Rl&=w)ZsV*#|;A67yZ^AZ~RKDgbq^%X0*H&S?v&oob2zjT<#%;Ft4e
z;uI-R;0g`&nBW%xaKcA$Q;{ck53SNXdDUQ|+SDEE-M4BuS!c6nsyq3c(ftNe$;x!m
zO3{6D+Oh193o0=uxt`^!hRJq|k8Jfl3J?&AzbF#e)e6FU_=&bDU7}Ev>=*kB>XFG{
zNqG3>*gpDC6~j)no+~`A+F4b_+uMZGh8u`&^TlkG#odpRMd8Vxct2Xu0b!lzxugTSfK}u4GwlsvJy_8KNUDepn2(O(>LjG}Lo4@BIKOT9
z1p?xaotme&RvdU@d^$lJ31%59*{@fI`y0G@<0GC1moV0LI24?%i9BL*JbU3zh;QAI
zxr$&vL`QJgo&$t}%n%@BBHVT8Soo{Qq7eOsI=0u|@LctzW*{WXDU#Dx9L9(HFQ8UPLp
zH>~gI9-Vk}i=6-QtKY;>V!lEcv*yLc4OZo1WUBtHz%=EMj-e534seA`L!UHwe8uz(
z=&g5;oWISKx7nFT$0?8ZUh+t?OslL7y8wfNP-F^MH6?exg6DQVG)xh`;~D3k{XR2A
zfWd2yEKu3ERAQU=u>g$=W^A#4b?kTa)R@)vYO$K-_n-gXHS22@!Q^#%*$Pa<=~3U9
zLB|o{<4Q%r)gzNJDX9Quv2PpNp8hkfRsXijhl}SzbEe6k?pfnr>>8H^aHayXasR*)
ziH?=`V<_XX-bXRUf|7g(7aQ@WGPKii1XAj@jvo9lyZ0Zv>0^EW{`C!uCmd%3aCQBF
zw^>Gxp&EAx1=vKpLK)!Q9U7Lp;a^&Dc;K(uzCt}dxe$>|HSix7xkDYU^eMH-S+R7~
zddQb|UZfv8_Dy)kW(IvE?NXjgU+sJ+fN>kA=Pq_lB8pJ=yWJ?G)0Z*x@ke5uZy9NN$DWo)e7@#b08)6mybX<9_m{XppJPQI0b#xI-^!
z%Z#$A7bLGANk?q>q_##Lkiuyx6-9pdW)>r`a$C2m{Bi#n#l$R;PEH0_A6MW(b}rZ7
zOEU;Ko{{lmp$T@SZanRYJeRu{Zhv-1)3ztv24~GTq0I0a%P6+|@69+}2ijKISQzpZ
zVmu{0%g|a3A~XSVUNTwR4;d>9ETR?YWZBgZ79=6|=c&mY5fwy&hgWrf0Le8*v*UPp%N@uqkkU>Zb(>>hKaX=K}hw~
zDf5l#*uGOusS9wxAs%F%R>#px@hQxkZ&o6Ui*#i*rc;qe_<5Mv
z2-Ew^^O1=l0OJ?8O`)^3v{~$3u@FC^1isM4++q9lA5FberOAEgp3|By|%
z;vcWzX}>T#GbP?S4@EneC3{czJvAnNdU-ew?0tR!Yvk*#FTtA15m&O1SxFosh!Wx`
zVWYAE%Jx>Ut;YR_y%&?@hzkf{vl9!DUja<=d9p=Nq4HlkV+Tw>|I)D^-5X^G_T?U=
zdvG&4N6w{Lm8SK1pQhW6m|p*q`t5_LGt>ha+k^q6y%u2i1GEcfbD^r|3aKPwNA)0`
z_8u*-P6jzn-9_M4iESi02#I!t0~vCbXkr1b?}3rP4_;&k&Y$!l
z>?5h$mX+D<(G98`v9vtc5E5NwQ`LIgrSnRN4-tRi=9s>l!y_D+3a2f{>^$<)HXVz+
zOm2ulv7Ba%msvX9Gq#R>xBGn#XjMA(#vsn1hMCZ-`YL_rGi
zd-?asQ5uu6QqLkFrL-}X(q52Xph)e06I88E5WxF3cJs>Ce_q|cvw!{haif%VU0RDZ
zk`(RXaE{0pnLTfXyn6UH80?q%~m*pw~?NwI)@Z#b4PP0No{%$!fJXRP4hnb~5NaCD_Yp-v2xNU*^8C^iM-;tSPT^2rfY
z50?7&?=8gD@n45GCej9W
ztRytEQjsT-t_TmcLvpa8r{s<(5VJ>*e=A2y0G#ZQXSv?R9tvXIokISl|7N*J0BbR~&>_n@91
zQ0Ns83Kvr?WqrTrwB$Lm{AaCdj4!+<+T{)
zU$fehC~8By>|&%s7KV}L2LNXplfQtyET&G92D>PrwVXn@bQejx~&PH1Co@Y(4h=SjMN-CG#!
z4#QQ55(Hk4xKK@@{nZTAa2e+&jqA)%S2`%PB$_QiA&c2qX#?k=-bm@Gi@jBw$itTL
zH0$+_x|uOcrU(h!fg_47TT86?YypZA@P|y^ouE#4xXik^xX?7py}7hvE&1bP^tFz!Pdo
zqjBpv)eh>`he@^lXpL1|BLQr2{lg(GhT7zY(5ScUQk(CgV((MS!dh$kb^%DEj(TsF
zre9ao7-R^(E{n+P_Q?R?PG;MCFqg}^P!TLRLjZ{q$VEM01U$6`Y{L%4mlr_Vy+XfV
zY@OEkM%AfX9?pGx5$PT%3LH15Nv80Ay#1x3r$1>;Kf22RFqCyasBS_TPbI8_bQYs7
z#)tWc^@iO(RrX-oZ?kpQLIzDOXh<$*Oc+R@UnkD&_5f+u>-yQ#pPJIl456kx(M7Q7
zgTzUdQ=Ezlv6w8UP$N+@y;n@Ncokk;^UL@RmwJCctxinENuGJ*K{v=ehwd|J)e|q|
z!Y7TOfAMtJuOFXUv{LdFU-oaPd*HcYJ@l8E6`c3tmp?4t!+0GZ8+NjF{-Nw%yd_(K
zxNBiR^KLb#C2{UDMqU*_4O=amCqvER!J1H-QM_eSN|7FeUVt|n$0WV?{E{S%Fnv$Q
zVI;Ux_AR-lQ%JrZ0LCN14CsSI7sj?S=+nzWO$pU#u!|^3oeSn{dd#sxi&Ql$5lA2S
z%1Kdr!M~;DMz`wLP~=<^;z&Ep+kh6IO1lPTX-`&bBSrX?_AFhwe=DJFF&^bZUB9Qy
zEgoLllz;bgH)sDf#MS99tK2wi|t*MfcSp{0WdnUyQ01gHQ!GAvr^_+T@x0h)5
z1BoZw9B`0zh}{-V_KLgvZjB**FGOYp5uE1-Oz-Uv7y#s_Bc(
zvL+rK&2A7c`P8upTovJE#-xPGaKBg|K$BR%tV^KbDlm+a0JhjFgFcY!)fZovTxFZXtr{g|CKyqlyctuk~)KQl?3Rhp1J5aq5jSJS}8
z#S3Lt%6XK{hh4BOoNd5AWb=Jj?uXg-$Mg0c7{Nt=|2p+pr=4#~fp$$-S~+r6l0i4{
z8*G9Bos4nM>n+n13t-QI+B3rT^u9FGwC~Tl*`FRI
zq47e@B>Ut?L+0uO@0CDWyzgdXF1-lKOs%z+?(Xcy`#4);D7QN(^a_XzO9|lsQ+;HeC5&P?Wd6TzYq(seu}^K
z_u!3#ArOJdD7zYPADfz1t`ZyR&{ZBh9umEWl~Ol71naJ_6xP+t+4qa-8wGL5wrrko
z=a+uZu}r^?nqU2W(ZdnGNm-p?=TUYi)Q}O(&9xLzmz9(SU%W~}wr+E=kqJQEV2Un|
zYtG0kNpG+Dc|{3cyvd%ABD1C71J}odntv#WWlETN-?8qDl+C)kE^#XxPx^h4Z6|N{
z_rJppj;$YGofhp`(^VQHw-@S;E0saP64}D#2hN^rM6CNrD+!sLl
z0V6xd?X6TSycFjrgrRA6=;34f8jaDOq@Qbrc{RK%KdOxEroWFpBp|~3skp#TS{V%X
zPR%zM3D?e$P%8TBeb}yU!F|Lb_lrU0S*1$-YDNdUstcr&1L&eR>5@Up4b=0;s2X#V
zB)YrZpvYLt-n1PIK&hCS`HpGzWZyGIwa!&7*EKFaSw2xv_%BaO;9N-G>$_t_YYj_7
z7KfK|LX&^>taDDH4~ukKFB>DZ3ii_G?=|PMsPV=iXVK7xC{Oq{*OVO0nNt_rXc5bLhUFhc}Pd1eTZ?!8p4n^e_Mkc!_C8c$gA
z0A!X6Za8iFJVnj|5Bhn~b#&X`V~krTreSU4@!An=xsJ-G`v6`1!%YNwyP`v{K9u!z
zS#yDE7w&Eyc>3T{Y^F8z;xW)e3)~<3v04IDWtysdOm~1Euq|ZE{GEs$vH92zmT~F$
zpY){gOcVMNWH+<-d+y8P8z5g%l=R~~Z`XkKEYkD6Kdw1lnJS79&QMA^S
z?4R^J5`s$xX=j+uq+==Z<6suE))J~>6grp@Q)7xGc*d`bo9QJQ)``=D6>(nWo2UgC
zlc~aTA`o!m|Di#?wTK7irH4KJwe9!4#8YhwPn_p+f1rsGW|0q*fE+ZmUoyj>Rl|qo
z`Vc@>zCX$`H&(pC6y`xZ+zx{&%)16w58K0ToJ`wUV;C}2v$-~%ZjXN4P^7u!r)?d%
zE_?970YVcGuBNB{39D@60K$WMO|U?+kRC}a<)1jq9S8tPtJa!oY@=Iw6>4wS?iMF}
z7(Kb=baoow*mv&9t>5RgUctYEA1G2v>m2quJfF$SDQ{T<&;+p5vqawS$N?TGV|(A(
z-O$qsuB0U;AmTpui0a%#t;k|qz?H)}xswgr%84?`y8w?P-+W<8qW}nV38e%!`AHzB
z+2DOiicWE-8M$V-tGwkDTe{Gm15HEnJV}od_k9PF6$`Ll_mm9vf}161;-p#x2AtnS
zn%ZC}v7GCZV)K;fQmTRpz$>B-K+PAr^-rZ%I>?cxyc;6?YN^$2ez2io74NRZ
zL(?K-+>;QU5h@dSqQ&W7uT4;=WU=`Mz&&jCteb6NOY@*YKZMWg;Cu%cP$BX?zE
zal`!(CHAjHwEzHbW3%-=o>9NTNJw(Z2cHtDMXJuFZqHvK(W|$?S8LP(&c;tJTyF^7
zp|}C$@aA~cbjHI%6WMT*m&J+DvVX)(j?&(rbuEQh@d17Jx9IEQGS^jH1mQtFaXA>6
zTztTAO9_idZ-Fb6dGeCJdY2yqk%w)!@?iqhC-g63*9)D@bwkjmGfuC&E(d_)x)pN|
zZsw+#ssg8{J1*s40cCJdbhj|53N4cK8dfkT$E@e2dh(E5o8~wLASJo&WPWBC<2+}E
zS*4(?R!KA>S3kCRKhXcO{=;1}>|XQ9w*K+4@O$YX;NgftT!>4$x~`5t-tbvK+;zUB7kTgEq1B$7
zzf6yoUODe{RI&2B#2rcG@rJ)S+&t;sZWTI6l>_RTa1Cul=7J_KAkL|IY=DI(Q$Wb~
zeM)P6wG_D&`d-EOsl22Xm_;d7(VIG^L)R~`?8h6}5s2o&4spx5@3c
zxk8*TG*9z)3-rH~ppsYj`1l+3!$ya_(On5ur(Y}@=r}YLCZXhj=e^q0_fVh%Xd>Mv
zd1^Wh%XiU*{#)1JsWwKpwjQZE`_~Vz%1tVYe$K%Qdh@Z9y=*E;Tz4^tV7Y?Mx7Q&k
z{347Qo%whC-Os9Xy0^4cU8~T}>(rLq-h2yqCc>{Y6(TE!m^7X;Yr%^(@>Yba86AAH
zkNsx*{d9I1RFc`QV%|ehqt`}7eP|LvC|j#w*g6FjI?r%4Cn*;US3?~+(sI0m`5wEJ
zW;tRwx@P3UEg@_IXjO7*I)3il5-r!W
zBy#csV}AoU{ZIkaBJ{l#yOo#q^X_#63-LdMQ+lkL!A&+QU?Keah$VJa?mzSJTNT!*
z{RW}YB@K^jpMfrrb{x%vOlD6I(QNs60oS&bU~~`pF}DAQmbO
zCdP><6dRKr?4V~+rCr;d^Q95QoqLIv1M3A?Rp?lxHv_ZGLZ6kDcKlxR-o}D8$C|vu
zpw@XRb(DNZF#&bjt(9wNGx(!_erp`wy#>^J#gWWDd{v2=wNbj~{)iUg&<}Vi;+?(w
zMte-~@J_fgz6uswe_o?EskugUwer&$AHu;I{O=?qm~}f_p5>HZN61u=02F15gse^(
z_vHt0lsBu=tDG04#p+>CB8D3;T5$GqcpgVyPWl4czUav3;K!i^#{O(C{;su!;gqj_
z`iPbpTRdobSJZ^I8n{GA;G*MaG=V@ZbIzD-!dDAtIdkKEX~*xF9n3>FF2TOkbm&OV
ze!>w}KgF@eW7W>$@;>J*sX=!0@C`5b?mJ?6!F?&;{*8CCmcH9ykvknzPtls{XZ5>u
zoK&u-)N+RdNgLeoY;2X*1l1XP_>i4K>@ndhv`w*Jj@h=2RX=5}9B_#kztQZuX}szy
z@hb7F@wKz;9NO{uHJ9bj83m!%CTcA(%YO?$Fb}!1+wWvf4h#tQNQFv?EBT;J^GdE1
zAuiiSzEMs;u@|??3LE_Sa?zqvQt^n@RWlWT3k>;7`~E>@I2E0%ddS-iDMIjU!TpLbCGr
z41LplcpZQwOgiG-zhu9;2jG?Jfq?XP*m@?k`J6L6M)AJjvm32TmDm?AEQNz#%pOe(mv(ruj+5)lr&btJn4!j!8myF@d0DV
zB{1Vy_yc{JSJDb1#LA;{gNU(UHD0^o3R-1j<-GjO0wsYIIn%0^G*1GU8tni)X1~sO
zQ0h9Q0xjwTn(mySDU0w*3(PTqrO1*8Bnf1#Pfj`(1|6ajI~9G?5tg`M-KDfEhj~fQ
z>(YrP1iE|68gtirkB(s`Jb6K=x}a3by_F5x0#I76E*oLN?_3OV7p=bFk@&&~nik;G
z>CEO<_w2R(UUgDSg*L^`43y10)>Ge!SeaP4hsf@GAzNI~vKLe!OuuAf4mKOz{*f^37n~>)Fpn)-|T)lK@PH^)VZR#dz)&UO8CCKfh4cQ1$
zp-oV87RXYdjEMaiU})7>q0|ZeJ&o7CfxkrAyQ8sP{cWE;a-R>NEfOud6Gd)Op;I?&PL@zWoZgXF9U_c{xnrZ;E&*fCxSTFG`uF=WI=rRX9Cqu
zLFP2MWz%dHDK;Xbsa0D35^Ea|?`X(Py&8A4N7W%Z%MF4s{8&HAE`Nhr4%R0mB##6$wkzBdX8NM#%pfV8
zsJ7H3D<|Sfd}WxB%!yToHOu`s5>18x&}Ni_05yvDdJQ0W%F}kDTAU0tIj~c^!eR(ptb^vLLJ_uju~^11@CLJU+OgU>)CO3AlCV9B+H#92GBN-Ltt?Q
zxzuN^CiSj_DpiXgsq<>8F|AYTsdO)5&vLX0TUF-c$oLoJ>qEb)@E8?>=>)_950j27
zBdI7!A*UaoJivrexS^%3g=lpH2SA)z+S`yH++f0-6c%{a6*UnaXm#a?l?h6L#
z4OosRnTq+-W-_^L*UC4fG@T$FNZd+L9(_B#R@S}&kKMEJ39V7ERX{S~}B>`AXxx;36Je`L}e>pG}off?sn3xvtdNl1_H3l$`LCU};
zIy3!Gf{U6Z!F8G#*Wx2eAYcf}V@-0aO>*r`_c}vWQajGTIe&TbJZ#1nJp+Y+sz4-y
zha~=IbnVD>*o(RRr%4>uTSiE`$%x@5`C{+sV2zBqVGW!4j0JqsPG&lWV@gsXbW~=i
z5S5ln2rlA8|0U3mEsiuYu>WNy0i#7Ut#0rHx`b_%#!TmICJ1W@;jz1xm$Q3u-W%&=TjbNmR2*
zMz-UX`eHr0>1#PGe*w#ju!w}M9Ms7vYW8>mv(~4p8P#gIJsx1pRk;cR!yJ=P`1w}V
z=3vXvui17+ODttqz$K1=t&e4{539k9y%O$RgNt6#2AbeR?BK+fMZ5wXs*nVh{rlS8
zxE9(`Tco5JjO*op=O{U(#RUXabUd89Jtns}ygCG>Aj(`oupt8@p@3LfoO0ejhO=Kr{fkBNP58d91NeSMkbASOT4m9Ao;aEy!1_n;piZWX%KtUUAh2
zi5fWDpLja^aP9X6BbLL>&_S#Iwe{
zs39y@i~<7nz?3j))6Uy%?yjJyyZAmF*y1vvh~hBl<#-q&2SGsBGw*idW337wkZBL-
zzxKzt_t3QX?`^K~S5?uUo~FRLDy4h+
zw>DOQ(?woZb?wGS*{ZGtYnvE_C(OgLu8Z@X&W*k2dbBK-(_SuH#D46k3jC!nVy*uN
zGj;!p-jWGcUl?9_6WsWdep^3uHhydH)J3IK?>*RniF1lgz{Zfzt~cqQ=FHih_{{Ab
z_NE(#@atVS0-ltLm3G+>$T9oO`@&el27C>nJxflbCos~Bz$7T{h5|`3yRj*R-sE2S
zD+^d+?UjPQ|D6sZJ|VP5vKI~!=F|*M98e~LRn}R_3oLm5PT~UI{f!Im@8*SgH1&$)
zfCX5Cj4;Jw+|dhzF)g+FZKL;}c_*4%CYq0uRS75K4Af{jQ~Nn^dCWS+&ZK@|1Jh!J
zn{>TjehXENpC~0bJ$G$In8M?zZ%z|Dp>q1U%DzJ}g3re{=L?gQ&S0qD$s_?gj=-T}
z)<183iRblef4`|vqaxcHMPadJ5@LGq<6+|;P40M+LO&AdMaZ`HV%y^HWVzlWi0&eY
z!+UePo_Kd7T2#zia4nj|Bf>+G!mf1Cjmw{MDx?ZVY;5n1u9UX$tD3+svHKO#;X^(|
zyTT{axl?8ZX=r`ILIZk6T=0XreI0^cYr3dH#KnRRt1n<;O`=k{o-h<3{cNql!8!$(
z!Q;03JoDix{{sTh;$T8JMW8--qvk->x@zX?M#WfCu_;#rJ~7`~2aB0rn3(}>pzN88l5yXVuD`@M6E8ZaW@IbW)
zLUgk#mJ(Btnq=}(>Z1~S3iNhpN7O#q;q`D?^?%N~8|S17zvL}8^i$6K_eBY+7;%s=
zU8ndq{!9k-cPdmrYxeH>CY#u1*}JGXD9!Ey6fwGw4z>9?5R;Z&jiMH*Gverf7tsHU
zn+3LhKLdRx_M7Btxvb)V3@UaPptii_;mceCFG6Req4K?FU3Sun;Q}VTSuRyz_LG$a
z2o&a2kp%!iZ$|xL!S#S=d3c4omtVsE_d84!R&R9ac%Szc=;!Pw+S>?rQ8E8z%d14P
zRsGtZsI}~gxgE}kAxQBG{H9}5{n3wP#}<()02ITtT$6gS7TdA_x|Y*hIL-vq2Jl4%
zcLlEU4hJw)F%M@3|Nm&v&Y|25gl+reDZ9OMH;Zh~-_MI4`uL|v4Sm`c@)(!;Xo+c-
z*Pp9d3KP7eL;xv|O&LC+_CWk|wCKP)IitW(rAh*QY_E4*YWOc`#v8@v+Vd$M2f?g6
z0y7OWRH^DH^OTaFVh%ITP%-f2wniZ7W6tHp@oKZ3w@aO`jE~lDhAhkBPt>=1f*J@Z
z!S5-LjjTcF8sqTGzO`t=dj%=R$K{gJL~)4myYVRqNOMg*kZ>_1&J|z`!~Dj{ds<6W
z+{KeHm6)N1pu9-i`1_4_Pj4-EyY;IoZ0=I+N5z!WRxd+Driugag+uc43ADvg%H=;I
z?MQ${Qv~)k7!*@wr_l|s9E*1_ikjK1`eRFN%t)~I-hQ??_nb=YY_ieq!dMv^G!|P@
zvqi1UioEna+&c&dy&L>cc8#?9_Y5s;hZE2{LZVD%dg}qMNqp;(I=ivG_3PNe&p8HoTQ#Zet*v
z!n6=B__E{)pzYomO>yFxq0bY0FWr8xP;ZMH;&9c~ln#t?a;0#AUZaGAI9F%K1z&8N
zwvm+=Bh@!*(nAMq6f$AoIpa||Vz8i!-d`*}ZLAJeGwckC3DjAur>ma)=kwit|NJ*v
z{ox-|s{J{$<_m-ZYJ*NSo_Z9$FkuYj_7#a8pWE=m=2A*8ri8|n#L#Ym(36z?4KXUd
z=kN#gPxP24@MSyQ97Ric%@7;ot4-osf!hYs?$W29n*G!`oyC%S3XmqR8pvZ1qZ&f!
zli!{xu$CB~6ffUx)!C=*&)2NAe@tl+b1Z>Tyjhel3I5g;AVVY>x`zJA=$EG7qYk_}
zz7f4kz2c`oHw&gBdL}+QL%gfwx6A@#yZ|)AJNh|qphcW>EA1`t{QRf41N`~7|v>$
z>7h+OgM~#7Oe*I%Gu+o=(Uk`K*vQl-2#5veifQ}gO->Oz9ngB3T%7f<#!=3ibzj(s
zS|3_MX^km$T5nD;dPntMWT6vf_W_VdveYs)5Q1Eg+sXv*UP~~t3<9fM&Y~?$R2sEx
z$tdzmT{xQgxXO|>ub9l@_z;u$$tyH%Nb)FkEJFv#G2LcZ^x)qKnnT0}#X}ixASV}6
zS)}oQe7$E-6A$>Vy`&Rb3SGd^1VRhFi1gkJy=y2cO{FSDF@XS~S7`!}EH!+2^_M>q9TIe
zDn)_X7?6V;SFC{hiJ}74M6fTyOH@A
ziiwbxo7t}dwlQRJgaKX~b|{TWG`2=~0ctqVspi$}`4*~LI(1HW4+q1wlQUsE
zMH1;Z5~Q8=E;>cz5ZGQJy9X)oTLx$!ZaauYa%j$m%!f-+iajq%wqT*Y1tJ1|7*cK!
zE*DX#m(0ZKjTw-dCY#?X1>Low(wQl%d1b&Vm3zC4*|ZZ~!;XQTpdh)&3kvk2GT|)CXOl3W6no38=c!|6G`_qWT3y@A8Y-xQ~Q^KzL*Vo1>&tOib88biz=;t
zJ)%SF*4Qjp`#DXcxYPnEkz&$Iy2dS(8~vUh5!gAi;`Lk`*7cajT4O@M+JG{!nkF7R
zBsf7tNNO>$8c#jLEt7|GNaf7uxAl1|QLmiRLBUksXRvw%AYQ(a3vVHkB9rF_qs}m&
zKiqlRItAS?-eQwn?Ps}wvW4&)a+r(6U0FfVr33~s5vDYcy+VaAS?zK)I4ONE6PiZ*
zWT1uXQf?qRHJN|oQYlca2U>G&X!T(?U8TTJw6ll^62!83lm}Cxn}cc*bN021d|EfZ
zCx`CNI4-Lz?gAE6(c)4z>am#mscPa>4vIsRicPOhbTc%_o7Wsw%6qM`QXKo}#aP-M
z3k*#Gr^hzKCk=Q_vwDw*W+?rUZva;L@3b0b!1}2|Z^>&M;zsI~!qd92vP5nh+itNN
z^!pGsFHI>$mTjxN<4QW@jPBYU_;j3%_4J7B_8Ro0XM+TAi-cFg9LtAqW4MBmM&Ef%
zkB#_+`T1+bO+S=f5J1T39;{{`wnaZJxM%jgnZk_{xslOsh_#)~R&FL58A!L>6P$M*
zo~^4gxEsg4MgE`#_YdixUtrVUWfJ_mins_E@HUZ*;sn-^SNTT82i_36B?qv>GgilU
zet72tkMXP*JMWU~_p&D@9*ckG3f=SikfcZToSro@Vm5tyfgMXCK$Hn?OiOakhuRy0c-VP0=9sf99CE_X>IK7M310L3w&
z{^4V}p6k608PNyP4M~?|(XmNXV?P>wpL(i^eA)G5^t(-}Osnox78?`EfI8iHI=z{y
z)Gl6hJu8-1K(6G9Xr(8%dvGszmP8^{+yDo|2!WIoOOh9AGnPhv^|L8w^i}1t<(T`m
zW;l@yLYD@CxM(9^ia-91h;;z-4l=-8wG8lO#1UI8Nl{KY3a6dq#e+Y_BwXU4GGAc~
z%I)d1u-;zBuxza>_Y^#jGkvxQ0K?w`9reTb4ETj%2Fb5!8{D1<
zL8XSFIAK5s5XD$UhOfdcR1l-W7Ef^&1D8I+UjU
zl5k2yZD1{cW|&_P|5c*+0M?0$asmL6@>O{Cd!r$S(aF5gj^rE#TpPzS3wN9gBdS~@
z>wN?Pq#*I{Oc#gFn}vX~F5T5fBr(E9F;LOqa}Wy3D;yU5
zUMs*`O%}!05Q550AObk)0F($=7J_CK>BlXsf%ZwWrrW-h#?Tgy-d}@k)GMcjPo4(_T
z&ab#k!9W9030~?nIMY>2C=eP1eo67Yv`@U8bLJG;UMP$U)&e~Tz>tG#dlG3MwlPm?
zGua~fa&Drq)7StIkG3%U3UGmUAv(+lI<2At%Yr#ig`Fv5whw}xBESJZt{R+lPm88u
zXaKuZj?#|E6(TfQ+3G~i#9IhOCR&SoGNY+_YRwUWx~IWq%#{qW^C3`wqWYi8Y-^(K
zL81)nhO=_gU5S2=qQPUHVUtMfn-~|I7NLyUoeU)rAg2h3lJ_d4uOPi@7}LD2RNmci
z4bWSLrfX>@~h|s?IDJ9LP%}hlq5*xyNZojccq{`91HX
z`0ax=2_QTjJjN{XA`*3es#xZ$-7B+_FFVpY8e0G5VW^|nv=2DMK^o_DmY|<+O@C_6
zL9xR0<(-9NAut|`h{Bo?A*{&z99_~+67EYWl+pQ;z@7;4;J}>-A&D&s
zvs%1a9&_0rSb3Z39e5V>ov;4MPj9ECG(}ildJz+xP@&LImnaZ%QpnRO
zgRM!L!6;$g$Qm(N1>8oQ#!XL~r@QmlL?5X&7ScYC)o6ojzeLvjSkHv=*CriFJBL&!
zpmdUvbszPrlwE55!CG{_xgm(J#z3*>P?r#S6Pdi1}zWoSf;Y7Bv%yw-XiXC)*h^!|WXM)-<$G=}&GlgC^o+}-AM7W=sT7|r&TrH^=t
z->pT^Pe^;yPEM~p$m@~wl3nvcrZZWk*o!s54zYO&^(k3?%d<(t{DHq)L?eHjQgB6U
zbt}sTZ@Q6PvGAjmvbI|d(!cO@(XCc1vHM{&-1aaarWqHq4=cJ?t!vlG(*0QN-s2*h
zw$uRZdkCk5D<8{?rW+R4*P>AuSb&5~dB;LCj(|drfG+L0uDc7(569{roO*Ik4Ei)&
zDF6)QJkzaD>9*?X?vbvpi{^{7qt8D#ymEviKNeX`#;X5%{L<~t>!Q;1kCzu4L@ssn
znle3&SL;%-shCZ1wjtEuL46;)?IaevbF<9eb@S;z?_;C(Jg74i(md|@8DM>Qs`uzm
zx8_=x*iV-7AjnpiYu!;RI4`SHslVQBPbpAeSr$Kx@N6tXcg{IH*65)J4?oN8_qzU9{`|)w
zrIvF4Vyu?{LH2p^nZSzkx|ka>&9ErG(B)xy^o5)k@=@j;fo@psAH~~AeEMC*64jVX
z;}}8aXL17`spFN!?xRWzPxF@fa%7(Sv5tZ%V_{woj{`c27muIbU(Q6h(reuLs@(gZ
z1$cZaYsV`LbOv}J2Z!ruiX;sS|ojI&!5R|LaJZv
zxm)9!%=jDp_(Rs}(Y?tJf7P^QI&@h9d&@!HK*+mB?C;CckG~FPqle^M1|@9JzO&QZ
zCmgToM_@|Ohw1ywhL~;{K33W35D|zzdFoNJhuTSeG5F`yNg2cYmEvnY%&^wV4n_@3yQ1^Knd@mAKE?)~=l3p+`3Q68_A&o1WaJNq>HAnW-e?A-iUt@)RQjRnDrwXzZ=-CdRz5pB08zV~1lX)|x*XRCXc
zes(Y86>GB&-sA)?oUM8@DBBj@U2eUy+>@q7{zqTaT9NWx7RSF`lg0Ain!No$$X@o|
zyN#mxO96$R%cZy4Mwj`B6D!hQ551ocf4RD3`r!4W;p4X%2lL-$`3_6oNwvNsFm-J`
zz_5Q-`t#{sv)S9t{*H8uNtJ0;nU)piYipretMUgEyE`5O=ccI94I?M#UqV-}U)cS$
z7Mi`R!N1;mo6h8cIU}^R>9e9{^PV6y&%TRs6nOt1s7sXJnf9VXbMmzl@9HXK%}7q7
zcx^>CxZ_}@Ju2Gy!*;2P+-AFD2Rr**2^-dRVpH3H_2Pfhf^w_FR(w`ZHz9x3&NU5r
zOs-2YZTL6MfSGD-n(o3p_`pZAfX7(SHNIgt%zPw7f3dYG^8H3-cU04IG4ziaWUFDVjl93O~0E#Xs=+qpaT0TFY&oBR2F_Rbc#B>!GIpDhBecdFY$
zzukfaH73){RwcXwwm;ebE%$>5F4?u_gIHY7#jF}bRv(U64E2f^7}%m2wo9(_Wz^xbU2G+WP4Eqb(BZ9o1y
z8J3QD{6y^Ge?rPD^1#cb#+cO|_s=?>Q$8zQO_rNygkNUr?Vflh=pGM_Pwm2Qpv1rT
zzAP0&a(sE3ZRgdsM=I+6`e1z~x${Wd>}JW%{@*X{rI>lX?F6@m2J5flFQp~Ue|f&Q
zTi~&leYCwk;i1s|9^wy^PVZ9
z^bq^#wx_q1&wh94+u9T80!@mrTiNY{-sL!F7VtupVIKr(4X
z>Q9w3M0sSBy(*^Pn`8YeM_Bj
zGDvE;#B|O_#+G}H^h9_+;cl}3ilY{Oe&2I2iR&?EcLZsn1d@~aU8=L$JLRhUQ|LnG
z1KmW5!*H@uGdmXt=pqqaQsAjK-g4<>wN<;q{OIWkcEhBO4zGcHc*uY1YJ?>k{@aBO
z5F^`t+@Qaj^S`B|@IB$1q2f=JZjOoMME{vAJy!Qxo^`W`J^}HTxhCgJ->lNQA07Gk
z_qXVa8ZkXFkL1oir0*);dm-KfalMYi1EW6dA^>@y6;va7z2OTm6ZC9eaR$+Pf3o$V
zbOOHJTJxc)uoWJNp@0#T)l~|C{hLyYu|TLLt0555AkWwcn=v;^TP1j-EJQ3b22aI@
zeKnI5e19O4%jvIJ3(il?7FR+Hq!>~D;?^|)+Ej=|6?<368II|&ZxaQ$rAd*tS!!qt
z{x51Q)pGB!?96*Z&3*l&zoOr*4Y5X+ld92y-y6^^Z7GtXNJ_GD#$=!rv2tBAOxi$4
z{CQ&XTf6V}_Iz)w=%zMoW+I$%n))w~Qy35iJLODqUGo{XUD=k4eFI|-UMX*CADf`x
z+bhJUwuV*-kJH2HQ0Nhad`dA&Rf678Wmcw<#&y%(RN~Jk#!yk3ii9}O{QbowaB1v$
zcrU)(I^^4%xq8wi7Hhj_Jsy6Glt3G+}zjVDF^j5DOb`#ik6|qbk^P0Ctay?$ry>S%qkxZT@BxgJ=sH)LEGRjp9jp}&U
zs$j|8y~Ic;5X0R7mD74hW|2O}^djR%!`NGIlgrwy%+FSy<~Dh(6!!i#aWbzO(r~R?
z={j!^<#p5qV=zF!xE8|XoQ2cMMwIWHDWz$d0Ss(1T9e&#<-CSCqdT_MzI%OO4S1t5D&$~DHdpBju;<823
z&wNC;;_EjN&wY1xcg2aqyQ-DrRpleU-ueAut8w|%VE)rJoBoQI70_`ma^Lb2-|(!u
zbDZHx?ZIAuDeCbIkM5SFnrv8cn79A&7MEonOcF40-H%+lJRhfdJ~%Bu(((=7>lJ
zyd_a6UuMKxRs@R8J)V-I$J-U}Xw_IF)(6zNI7^0NuM9pl5qJGsod^0`EGin6^(t}$
ze)w^tp{ZhWZx5(s5#I^VGtL%Muk-*xC9c~eEV&%*$>3g7RVI3zoF+#Zet}6*rPGct
z&%QQYLmy?yY$rHiZ>XKMqwnjl>Hk22yBsyJOVY5{Wcrb$qy+$8yasTRgYTdK-WqDF
z@7saCA#e3Mh{(@-VFFvv?U{vg#LtcZTmTD=%nEA-V5<(&_53o9>a}1XHwe+-HnzPA
z(oY-J#~ELhyuihe5tm^A7r0~+lxw+r-x3Hg2yiZ9dV#V$7<ABoWtkde
z;+}Fio(b75d-9LQSGj5(R+0gyrFWG>>8($R5LiA9|LN?qr`Gty?E_%$Mg*AANr0
zR(?|J{B~E4Y1RU@JfQaU-R4Ec=X+0nEF0iX1`1b;Uac&mI>kkK5nAgC9I;voAf&Zq
zoS9`;4>1l`+i5DAfAiss&m%Htej)@WSLd*=eJVAqS^Q@7kp7tiC`DeytC?Khe|0ZE
z(n@Eu7HRW7Qxo3{`0B>RfH}qTM?#d-Tdi(@H~Gb_7%1;0T>`-qfKXae!^ctoiCvJS
z9J`1s?X_C8|FM&c+h9$|`Zh-+!U8&g0nqFl2>teGV&O3eu2
zA=Xh(6ufrnFdnjQya9ZzX-G__;)xg79!zHJE~f?g4L{PtvT#-I?-V?qd9}Ev@uE7x
z45nnd(^&nJuJx+f!s|haN6t8mw{yUVBL~e%YnbT~lF|3@*fkQBb@?yL1yxjEfZLZv
zSa>THD;5O$*KDfJ8$ZrPB3m!t;I1;@`%%(baxL8MTJ}i7kLIP7kwk4foO!2z?%~L)k7vIYi`czA4vrSr9ta<>=rT{RXthE8xy7DXij?_MsaV>FeViqaoprh<@p$a^w|mRCqw|X*Uzr?V
z`q4HZIsGw0VfEL4N2kw~EF@mAp85UH`a*{G3J3I`V0q4;rHtx--5Jjid7le-ciJS&
zM$0-vrD*l-U&>gMI`dyfbseS@eEg#mFDk8EmkkeSJU(PxL<(erGq(A|wpHnTOJ=uRzy%O6iNvbc$`H3%d^pU!TKa0I3kx0Q$~<+F3927!fPc
zS-;{YqOUxtZ!ZyC&On`ft0{$eV#y?nq4yI*ORW}kk21gXz1wy}OA14F0{2;F_*G{H
z+HmZv-giaXjr?-@od*p!yocf~=7_g`pao
zQVnZO?ugYHZ$mB-p%h=Li7)kzrKwImL=OOBI$`mtquTY5$YN-)Z{np`#z?%0h&PfP%PAgPDun2vAfe=hgyTxHQpi1H1eCHm
zVmLomDq~);V3xf+5;JI05%@g25OOMZq}DwtV$Y7OY42hR7kW4{MZ?y906Smn+Rbf+-|luIZO)G2Qy7
z<;&0CEukw@4|T^!w8(r@&~3}}yX})9^Kecp=t?CM`_<`oB6-A}>~ff3unk_j_42l4
zqSMp_i{RvELn05`s|I=*l*lCL9ES*}Ix%3z%{DXbHtV@BzHr*&CzzY?Wau{d-Hde#
zZSpJ$V&+T%O-aqNr?JD)qiDB-@N=jW_L%Pr6gI
zX;u_n0J18hb3AfhpetY2bl*lV9pq;L``d_iP1FB8uynJbg3
z)Q!L}?Cryo_()_-5QPu*MjOY(s%sIePOoT5iqR
zK$%!O9RscAJyqszJIvm>>+E@HKDK0zHZ-3qIG^C)l)>hlY~>h!^+lG^O!U^$I7hB5(0gAOL4nMPg-drADpc(5
zKXSG*TBzx@qm<0%b1l>x*(Y3DOj%h}Omn3}m+)4unJdl};%+=DZjEdU?GA2uuBC_Z
zZam_PEmceSPp%~nOjn28oU+H3JeNZMx!ehN?RzAqvVXd}Wa-%tQ7i1}-rMuP$`^;B
z=ldVbS3huP?{)PzavOfL{F2i>;*HBcMfWKq>nAEJuRScMq4ou`D{t6dmTfu|i?6&)
z^B7uw<2U5Kyh03(e^Xwv{Fd$IyKuLE{1?{WIOY6s+JIX1L*I^Hy|6Ij!By)q=HRiD
zHp;0^u~SJpxduMxs7llKn63-b0&fYOTwBiVr4T6a7dL#bN}LPCekCW)s#^(-#!ygox(+XjccZ~o#iSfzbi0h+FCNt4yGW7SMF_q^$H-`
z0GVU*!a}MEb!H^a9TJghf;OJSz<>w=M76soU#aI8usc6&LMb9nodi}^rz$(2+`!4F
zW-Z*_kg<|XEY2jCPj7{1UohOsAQGT=b$y7{lCnLlpg9ipm@Js`!ds_&Y@IoUc`pw;
zB{KB*y_k27>HAacCmqfIo8?*Q|7Uqt{r_5?E8~*n{>Sn>!1sT$Ja4dCgBU_
zqL>t%;MMW}TAo{Uo|cwwrq2J5<+=RweDu2pZkE2M$H)I^z*lvxdvCrY|38*z{ZGUT
zXn<4LlPdCi6&&|XkhYc}0J`(UK9S;B_Ie!*?}MxAE+s;{W(4HG~b0hc#d3K+
zUPzFh6%#+y)mN3`-px+0ij{7vGKo6++?@m9EKeMX-m*5Dd6Jj=bSB+gbH2uGTw-UR
z-fm*_Tz)p9`m+FQj=azkusOggDmjSe1y&IQtQwsL{d_N+y^W-N{0*4B)_(hrac4#D
zUFU&iWr+f0R)Cf8toxxMf6QjcOMaK65_V12Fkv=BC;tbJBsi7ZO1#DYguF)e`hJ}H
z8`W-nTGPA4C(X=6xoz4Z9j_XcWqps-GFLz!XIw9gwHN=iMQ{XGQ<+lN#T2Q-nq4ODXZTny=ad82I%x`P3i}&;U
z+*qSLZ_}p%EU=e(Q*TtF&r@>e&^trxRxh{FQPa=Lu`fZ{5>5y;eYkVdYo$l|qMkb*a7@fd%HGX{$^ISzMm|+a?6ta#Vzqtkj$s4#6r|J6Y1Z+
zX0bD-C|=A2Wo7`U>U>2-A=mnp6}k}iq^hpn_ZW4D?^7vwtojCm594nM25MI!z)U|9
z=w#f5@K$tpBB=v(0ZdURSmdKqZBy2{-OQ_tS=l;P5B7_mWDgyKNc;)(*tip)FJ{ME<_(dDKspt_1C3?aP;
zOK&6@7UWr?H=lpPv>+#gfC}!bP+$v(ii~yaQrB!YMlG#06q;N0e4i#5X^yw6Qrn$+
z-eIdX(BJTS%x0YfDTV~_nT;fW_A_JZqAF*QQqIDJbBVe)h?)tUPPk^?Q6|{+!j`Vbn$3-v_hm_vdIajJk
z+EtDZW#f`woyzhfzCRY2;WZ7t!b;YVhj6~6LjX?X0&P4gxmQ(2jg%-vUVuG^
zkhuly4RtE&yJr81DaLbNV7cgGwx#m0qgC2h+?irzIIqi+$wF2TSn7!tQZ((P^&7Z|
zA?#72JU8e|*Q9+)Y;d%R)f-~M^IdHR;bxVGzbDKW$L2f>Mcgjyo&Z*4yTw0=0a2@v
zjcXK!yg;LV;HArnw2mrX%bWElD%org#I*}W%TJ^n0?IOfhO%9z70Jbnm1|KDj-*()
z4=J9ggEVqF)_RD3zD4D>JZZ|aouu5pliFa7l006ah8r4+CM?iVtO=^gt^8&C?d+BH
zmJn=2P#oJlBio@iw%PB(CBXS)6?#n{l}E#9Pl|T8CRVC@RhfWCJpJim-MXHf{$NKEg
zWOw)EA4{S)Vy{A^4p(9q*uE8N$j^89KL0mUH^f3@+H38U3
zyVF#<)4;%nEW;#@Y8O0@f><;|RLi{ACs=xBGAg&
zXecT%55Xz0#T<=5(h10X6!=6V?cRI^IC1*fqlO(rzVUcs&TwA{iJ)$Rwc&uJ0VXFR
zNmLl(n=kl5B^2ceJ-wB(A$&>c1FTe+`MD7@s2W8C0KF-)<342J1~j|c-jNt`S{2og
z0F)$BA;Af*!LJ|$_=%I-X%JEh0EJWF3H6{OW1Z?_Xmk~nQyG$i_7qlCLa6|NOmo&9
zdOABaLy(y}OHvx*Bvbjr?`f7*Avtw)o7tLS2MvaNG)yxjxpWgqlBhJSjb*|O`;V>0
zeQGEf1}KLC;;YND@KbM$$5BV2H^os@UAXrYxWX4jMF38#Oj-nF1pwS0Ni*Nigj3WF
zYeg2+Ff%9f4^xP%6zYa3%0~>9uaR%bhXL&PS+-9Z;$W^pU|TxGopC}J4rzFFQ;QCd
z0<;MmX@Y2bUA>?chYSdlF~}waY?D&N3`puaUEMAe3O>1ey^N;MR_Kc~R~3^eBI7|$
zdZ=()oEl^e-X@9a2Y`h-+gryQ1zHQLyBmB22IwZixE%o&&50(h;~?bXEksfK5ANp}
zy^;i>1OUDuiLxa_PqI($s8Xmf3urA4m*q29E&@{ztUP0Xc-NcLSENz02AVz^W3j2`(yX
zh?FQiGaxJqF(OgUnU1(KERBrv^Q3#H*9rvGFqb23vBD6}!V3PQik+4e+8phWhf}WT
zeCRwTgvbgoV8azO1OId9RpJfa=dhMlxjnDi=szQmkg&;D0Z`#Fnx{|u)jY~Qcc-gxtPh*Y*daxeBs;+F>cw}H6+V(t4fTKGcE>vk%JBJ#cy)pGf!
zp0m
zmuDWJW8r4@V90ws>fS1xI^Xohwe@(qRXFz=WU$prBj{h3$4fkh2=jY)smX7%rs@~U
z{bqt>G)mX>K@C^Cez)`>vPFsiDvRr*)4_PhGu+f|cmfUuTC8Ox4n;yFEUpu5m45E!MZm?EQlziE20uW=Q#o=
zq|6|vdINN?zCr8W$Aq(AIk`W!t|(Vs39x@~s`=NwKEq(>oFo*ci2|8J-*z)yYG#78
zFu|LdxO^dS>9*Qa7=xS|Hr9T6K+xS8`_w|mC=1`4?XJ`hDD{-y(>6$V90;y^NBjy@
z=x+yjy6+A%fLk?C!-4QJpjVXEhPxdH+=W8IQbQpRl>*5sfzQNTjkGQMJ&Ju?{-X4H
zn#4W*G*n2ICyrT0A57skIIGB!3{?dnjyPCFjnUJ*PA{b2zuenrwE|(sYdxNg=v0Bo
z_2gki|Hn3wPxV>r1&kkEyVcQ>0EhO29Z=8?O;n&R)V=V0tl3COd#6N5izm~q0650@
znP~OWDA&R0rKIcIN4hS52T;=w!(MpgyQAzaeA^dMbG{?rPo7*vmWpN;JKSyieHe_%
z3t%)f)Igj`j1N^Fdg?~^EIFOIYX-B6*QutD0$)5Xo_umEthh^3$)bll%O|YC;+Z9C
z$P#5z53waZY34`U1Jo10`OCl7019DN(G58On>SnEd<40BYV`7pF8AvGCmNIaHMUFe
z;oZNd5zf`JWn+BH?STT}bG+dwHmL0s)D||$?s*~n7T9~$0dm~JBCiYe%XB%GK@|bI
z*_zM!gGUIcw2N9+a}o3@^kNnqhTIl2I?{ewaJ8-(7`dGX#nHRcvM=+
z;}FmqMA8h^JA}HvbT-odrEkF~2gQJO`9g5XjKD$JLrbxEH*^aARYBl1hfRnOD>QBl
zOl5XwWq@U#!=X_q_g+t@Ah7lZ#0LO6aaJq}=@Kh%g1Pz>+q>*|OH_`cm7Yz9Sv~9&
za2?4W6}ZxOnA*3t_wYOeqPY*SPC+R9pi{VeLYXD}qYEBv#V$e6Q>1}$7;tfv6+?+n
zjzc;DeKFYnt!~*pdL#
zlziTB^DXkxP1st$>ka7MKaku0_4*p<3wH$CcMV=vcIF?%kpPw=k4!a;5hqYCZu$D>
z>i;~DJx+`GoBY&jrLib%Rm=wJl6m4r7J_hR0w`#Wq?J?ih9w!>Vh$my);P14
z7qmesYv6vc{VlM{La=sBhlTMpUHSbT2P2!1_X{DuPkkC{`6gLI>IXrkczGYjzY7y?^{nTf6r65H>&3_W}
zU$3D0y*cUWfs)Fp=$o(35ya_vy95FaB?U_&!+3X+hO4N1%*3kfd;81u@`6e7S-nRM(kY&=PcusO4_MT
zIH>7r3Bc$ZVJ`*Sgg6|pZnwaI*j0G!${Vl^V(}>|S`9`cpls;R(Rz>dg3Z;&cLX@T
z3VnHGJZzHnlq!Dx3!${%VYUBw2i<`~-JgOwPeBzn#?%_#eqaY~&=J5sOq2X1%le0r
zcT0YZam(`e%E9m4!oAYvV@XF3<@7R6$I>2Mbm5aAPG816|m5F1ivu_vB&+x_OpiI5K$-u>>qO|iRCf?-|Iu&
zLwS5w69Q}uaX>7TO~|l-SjG@R3Tjh%ZPx#{<@v&3fz5m4bis2mh6RRVrrD?mK1?Jd
zDii`&<(wx@O$@67l}tDoIj{db@Hgm*2%1Ge+)>$4qoC5qIKcv~8qV*qYhUm1;KC5z
zrt(#yXai36@JGOGtYc}|!7ANo{1NOI@5}(?(!2zF+_~{*u*s})L>+1wLQcaZdx>h-
zxdlnj)v?0UWfn5&K4U(z7l(^ol+1>0KE~WQ6dS`n^R&454}a3zkx{#L0>Z?Sv4z)<
zSGL#C-$`5*&_q+QuqxyZ?c`a+$>Qi4QdxlpoA%5c=mL{xuiGOZ(SJ^?^xlD=7V-&;
zFE`6jiQsPtmT@j1NR7^Z8b23>Dg7^4%ue6y=`Fs$Of0jUM`G;ix%W)ZQ48YO6{gBv
z16yHCwT+@#_(}pZ>(KjV0}h?A?Us+ai^%e>Dba1iZB<3q{>@B&ITqDalJ|oSpMfl#
zRAq!$6P4Bs$@D8=!WI1&a&(>N`~YddC_dd{YHS5Cl^c3FD!TJzrxV;_A>RjS6HO@o
zh?0_#x7{DgE%lXW!M9J9!(%&e+p@r(J&gc_fpt^j(*I`Qw6+LdNxAii@?*M<|3Ve+
zbiNn6%roN++PG{Ti;|s{8gvYPT1?s3AR{++-0;PCZb<#Z#zT=5{0&Zn)H8cv2HO(r
zz}55bkw~QW$!>!lPJ#cDSwxzyG4verUHIWoP|(vtubyYlR(8
zk=*ok4dn>gx8Js%Kp4fglIN1~TZ)sN^48B|nHBsuA5RwALVzkkX4?+>f5{LW0a%?s
zKx#AdSJ^a-N4FqDPS?L!Y-(+obj#4$nt6R*sj-p9lCP-d5obS{?7{6pz1dW709}2X
z(?u({rtSuKotF|3$##yLr-xjK4dE9j>I`m|COYADazG86FFdtV{>KN#s(f&Fw
zV2G!$ad7zTjcu=f3o-XLz3+cKO8^U(wMZiNBNzKzve{)k`iW+L}{f{HQkAX(c>EkFBh}+nX?>Os2GXLTrSpcXb-y
zDh{lUsC6GqLZoWd;=b`(i^e_6W42K@R`lAk#J?yoA`a>;7)^LCgz_53WPiH9g2jQjhpYpYajaloh#qJ;opdgCW6xvA`~B_Yyi)G8q4+GrcO9|KV~RIk
zc~6erUm<9qc}nZe)lwHKhzojQ2ba%ZAzPt-caCsJFpz3wn(RK1K8
zlp$ZHL)&I*X!fUKr?bN4J>TM~xo=votQlv^DI{F+`DW;s=v=K6pIe`Bdgr3$nz$;}
z6f3&FC@|ShfNzi4=E)Ke!T_U#`WI9pSm}tz4k$X^{a9Ede3u8xV;kp=NcH?{i?%MZ
zZHh{)a*Ztd`kygIqRg;JA#~0~sa3QM?aA)5y(6=>%LEYY(U46&o-QEo;L|4u&oUps
z)%cf;qUs9X1M{x`j2-G;$%&bIvtva(zZcbp2<4hz
zukh~sePjMvx{=4{Vnu;X*1R?+zM2a^q7p=x>G1OT&6v)H%mXeEGn3N8nA7fe?OeZh
za^;QQN)iG=x3J3xF_rW
zL70&km!NRK;_PGNIp-(lU0q!382FQcou|6Wz@R=MC{xKKR$uzWW`Vdav}J3O6ySgU
zr}@_^5T{PCQ>;%0u6Ew7RYN4+24Lu9`Vv^7w{;}KhhM%)P*a4f3Ge6LR0_q>9x`Rt
zQXvMM08QBx!VDaTMgNIwd22N@6>%}0q4t*J*L>B-G+wF+lsBFpCj`5Ox(d))!@^M<|tZ(R}uBsbwG#Jx5)j(=4gJrlsu9Hb4f!}YY8~2_!i7wDxG3$Nf
zwVNn2%GWB9Y!o9#;85!Pq@045ZMq%D9(8jOdhwNv)l!b?MQ%M;8&oIXV3I{psgV?a
z7X7>^x8JBfCx3=_Y+2%-OjP&eaHP6`TZMK$gkV*lyij@=-wHDbaWPlu}1D>_!+$dgDYv
z+hQx1h0T^y>VPX~Waxnswr8q0R(^t9rZ^
z0b$wM78{`&=UXJv8N0aj^n55o+7``+ua@_^&uGB^_(plvrt3YRJ1VR%WQkfWQx?FB
zptK&@(4iPHM6Uwgi5~Ae3K3LChyZcEk-V}6DVF=#Wc8#peiriz2`;{jUEJNO0L1YK
zVxVaeWqnpiR7_m+J4Q+CG?$WcJV8%?UR)6Y_u_@{DbUUItUisVXu+y
zScho0)>uZQv~%a@(mnK4>pwb#Z5gsC&qE_8}*J9`0{+bWAq_mMBKRrEr1SoU({gigVnc#(hG}VP
z?K!-S_~V1D*TG`Wq`Z652oi(JXNm|00U8V)MY=T5Nnsp5mh6nZwp@0sb&qEES6M}j
zO$j@k5!>k1s2fRrcH_HY6aJLzxNw_(l1O%I*b$$KI!$+h*(x($T$1+<Ax3?R
z>aB1@=J}G!*ILS^c}glScdiKaL2`e`?-5WtxYY)RQ3~dnplx{0r?jdN%$*!}!DkZE
zj-@GWh_rO?B2zm(vM9!5r7uIBS`wYE)V7+>2(r4)T5Fn>A}{UhN9ibT2YfqF&k6rY
z&XeOI8e}dN(Cf33${|CIrX5_gxEf91fDgQ~fpa^g$J$iPhSr5b?TJbnq1pK4w%uor
z)Rs>m)kfFlPpvd=PCl)pJOn@KW$98t+U*eTSE)X8uB(V+XpGGLrE)Lb%W}M0L1_H=
zY>lAe!qv{nr-8MXn8o`I`YY`V+X9hF$GCw*lC0S%xBdKmbdD`ICjgl+SkiEqlC-+^521)rHfo&AkbQIIbe&+LpL=#ar$)BJqQwGSYvF-xQY
zS@!cX^1qA02|C=#j)#q-kMl7zlG<;nk!`OQGENM&Yts1i!Kw9mo#$U<;&5>6Ys~U=
zMU*u-^0=K%N$uloy?6ih+q%rP2hL5*bEGYhj)K6=v0%(!@czHZBdGzc_&P-QF0Ft|
zn@XvdP$ohDQ=cXK`NiV56i~VSv=D%Kl1}EniyYto?#UJMR+RapBHnz#YgN+ZRsTfg
zJC&%6xk?89f*+ofFD|>Eu0dTr!;Xit-Mjuqm&w%^x^<@!8Z|Bz#m5`22*S)jQ)yda
zJH=t1;%82aJMY?Yty8E)qmT8-ySaOAzo@^nFw;_2x%-uH{L99}*6C0)(tKMZlpW7H
zSd0wDqYj(Mx;3+(ITvrL_uLERqAqUUJFt=+ATI(L17HA?V~>I8@J1GX
zOD5?wM^pN&jkh&BHlsIQCN3Z9;anREA5sb*W>Zt~_nIn3Ra7ehWH3(ISWHtw$+)Xk*&?}N#^
zy@%cY#j)Sm^8g0lmdPU8u_q&5o>`Af-m}XG#yW%2<`TT&o
zA@{?@=o}F%$#o8KtQu$hw#XEzv2o_;)8K1$)tDH^kz5U?nvDP~e-5cd-mQJ+=1ooHenRv}f4F&SXj$`g
z+ul9b4?TBiC?8oUuF_UZw$EWbQqvoUhT)+OO}S^c!nVybId|9rS74i&O~*kC<6iUZ
z5MkhMN_ct69tD_#cspI6yN#Cvi5)-Lg=V!!Z4OPfppMQDA`g5kiqwxC)1F(^!Y;9d&b+rPY18?UW-mxF5$&o-lc3pQM+SMY18bRSn-?3Tzm$y?@@H@
zbrYL*uqJ~E2?0)HSo1_+UO#73O=NKq%%maN`b@b>Ur0k!z4}3jjX)<^3rg=baxj28
zEMv~9r(OH1v$b~ch1Ub&r&c+y^_KXQ-qvk)GSnP?j&=N}0&lxRNrArR|HzN
zf*kw`**@wzJj$N&`n+BW*2mm6?UhZ=QJV~O(|UD~%X~}O>AmwKSNJcg6MEm}GRpAC
zy3#)ZCVdflUnN!58ebY=E=bBD!*k8KiGN_BA)7f_CeBgj1
zn8$5WGjRXO(a*`UhHUDAng9FHXKjWI2RI*%)E|L*jO?yVo@u62>4wuKB}wd?qX%lidSVmTs=~R0c&BvN3S8Jn~E~u@=Oy#S2Hio7=7a6ckF$sXoSqMCWq(rb`1brk#n+w*q18ZY)8u$6I^q0=+{Z?(7Tz&?Zv1K%
z9IbqrBt3TS!N$>RP>C%UvhcUm%PpkH5%M(?v_0fU#ns#YW}yT(c0}(aMr_Qt
z8?%|4e_|wW^4Z*-tk9Kup*JgM^mh(FH^TjfXaY=bUqy_QcuZ5BrlNCabKELT6zgTd
z_~Y-6w1@$&UQi1#3T6
zCFN+^#e#a8VHjYtR^Prv2mBk-LnGf-T?<2BGj6Tck)EnWm$AD#r}Jq>KBxSzqC`?d
z+QBy*j0e6O&9_J1D>pgtBQf}D#07@+vGqjdvvSJ=jnc$q7qY(~eJx%`%dN#`M^*9H
z*h0@u-^+@}!3?h&S}fYqv`bUBI3OqduCd>0Q3Nj!Zhg_@e$U6pnk~Don5uVlf0*x#
zd(@VsMp5Vv_d9FqUemfKKlRoh*{$KEmu7_FKfY9`;EZXU-T6K{zfUyXv~@3%^C-4%
zM{@L2Fr4{l;g+U>t>d85e!52b^=RW0XKfBV{s|K3wr_4{f>7~Q!8bz>KMU&5{l1&l
zrfwVTAs1X(iKi<9Oa#5QF7Mc=$1Le^0@?hYqFEQ&MSAyiN3OC7J~V
zh7jwmNi99H&YsK>kt36Y||
zrqgjMjPfu~2ZP3F60)k&&1e02os3lI{n&IQ*UK`t{f
zR&Qvh*Xn$+(;fFPXZ=L0RO#+2d!uu}JZVHt=5JW=Nlns|L0a{6og3EOxa-mXPAgQa
z@qCkRkq03OxiuFbz2PVgICloE4G-H8X7Z+8?(vK`Ya~QEHWVR{vF(~RJ+o>2!~q86
z7!TzuPA_bIoU(70FoUc-A7;=}R{n
zo}pv`KaGZLh@4f)*_VBoW+|oyK%{Z8(fa9Q2EgpYU&J)7{BUvfE8PPar?uQ8N!u+9
ztsc2=aoYOPwI{i1(X%3HkFss$tz0aM6e$Iy7N7g!Q~S=5e@)DntV)%&*a0cL!j|7X9{lu0t$fiB|#zOe{taL7fB|NPh0Cm
zg|6LKkVy%VW9p4dnuZ~VKcM#!i@#mMI09W1MQN$xuW4yExm}TR(G21QFwM~oAK6xB
zv_qN9D%hewB)d?tPdOn&BIFu`7`D#NDEb4~`u5^jg1@v|H5UK!fvK(Kfb28!xi=jK
znd-F=0*{|3pbt5u>_(DaP!RBPs@yhr6=0+iZd%yro1IzurSL|7-{A!Rz2RZ_2Tfz%
zKH8iEe#^`}t(J9TZLKWQgvt;Zk(($H%tab1PBYNWpT2IID!-zP^yLLWo(zzQVM(49
z^2%%1jC}#7r6SnIZ-d3~|3!k|)DZLfa#tdD63kzJ
zJwJcRxQobSH{`ql#0B=*ixv!#Qj!e=nMVQDJm_M-)Bir4pwPvK-#!_>x^(_eYQfRy
zv$7sjWCUfJny)%Ls9UR$_uhD?X394K+)7yk=xs7jL=L*m{!-d*|A3STc;KeQr#nK+
zQ^s0mDRM2363P$yhtqsYdQ{}s_~~9PwF8P@Dez!`->ABXrE@84wFzqCQPIeJIt+!axuHSHXQ
zLopBG61+d{A5@!7f#j}G)oOZ+_qZA0f3~84n#=*^PNKRV?z#t3YqY+h5fi6GjX1b1
zsY}DPxi{_gWsQV@vAtUjZ;H#zP|dsWymqX~1QpvE!a>+CU0$)a&Ovny&vSlb#$>3~-ByzHD(Q|mI;)kYicG(Ui=Wq>n$s^r&Fwb3KF
zEr~3x)5Sa)*_3&Kq*^Vt%We^+E-CD^(|fOIuM#DX1qs<={rTwf<6E5Sf(scO_TG=<
zo+R1AyY=3S{dmn5U!(&Ugp@fK?U1^`F`<1a(6alU@AL`zjfa742Z*?j_TPeG1m$)a
zo{VJ*TMwW}iHE3CN6Kgv&}T$>K`o!Ch(KUUYvBz{AG#f*Z4qhEC
z70LRty!g?T=`*k1)2WPqGH~aC6bYbX^vJZ$)8zylv56ZvQho`lsZT{Zkrz?Bs!DjW
zbX7$}vDhzxaBhVliJAOx|FFg>=Zaq2hBZM*+Oi)#
zwdA`helQKKp`Q>?{yov75pz*u3%J}vd1R%sYz}{iPvY`%ht6XZ)7M<(oH{F{(_oi=p$itk*n3x@t@y-yqLyVVooWYbdMn1rN#
zH5`8PA+`_pcAGh;*GXk$u{2U55P6Qy`sW1$AursO!&%`_NSgYE
zhc0I|ds$z~#uUzB@r2w!LT-2H^NrBZ@7thM=04{@ugf!eYw;J5dAsCOh)IOu$1quy#r=jcAXx&YZmayH%}WiwXS
z?ssTzXv_dM^+h9uL!F$bsc#6?*40`ud5wP5I+r{X^ni&mG@1REkGw
z+7+}~u)ai?&SY!!7U@~A@cN70p;RyVdrI_$tcXHzb-t}nf3;tzFpPelJrV~n^=4VR
z?QGpyb<0t(d?xddJBV_a>sc@sJ?*k1X25y0*lxT+cVjvX%p``e4OfNQsw^e+&}T0y
zR!jjm?*7XhParnN65si$!AJ@*Sb_v~=e0NyW$flKCeL7K*m)y)E
zXg_{$%`uJ#VKFQvGN`oUIjy>ZrVl2O>52>xfdK}{InV9m(|)tme|$I#s=9m77kxspF*6u@v}LZSeE9fLFOS4ojbZ9H{=(6A*0&JM
zbffwfbJd&emshVor_(o|6B+DQ05DQ?j?#x7>XbPY{7&Bsq_B?cFbGgttLX2iU^l!}
zL!LwHFYoSKEl&1_^MIq}VKp>vNk#=e1?k+%`o?wF_i9wlhE7lKO{3mhdC^ou#&p?3
z^^J$#{qkMc);mif2(B)Y;!Wi2oQZGXwiMaiY-Q(`kXF%
z7AcGZXilXSH!6p~3XSUaAo*eZM^OVcf;>5h6Ky+EiJ
zE?{r&eO=TLFQVt@*@@DRr{Bqyzr08ILm{jgtFM7bf9Bu@bm{dy`LiunZ3R0u^c8>T
zC=ft+yJ`UugxWBXTsXM-X`2)DCsi)KFA;rX@QL!PD>vs%(O_?PeZ+p=8&eK;c5^}n
zSxlI1aTb?>O*l6#IGVLFL@VKgRgxkjU*;VriAuihTIK+8no6{$i@B`n(u?NNo5qqLKVg=IQ^fEi
zuel|1RS6*XW@dKRn49=uVxoKpBOIMSd}K7UZZGMNZ6=+DF1FHBw&-2G_mS7dV9fMJz$*TZG^A+_yn+8WlB@#)i7Ur-`b
zuGfvgH3ep+QdypJ&SKe{zC9ax$dT;)t2b
z4pXKI_3QVC;1Ub{?LH0GP}R%|0)B8o{h-Z306FBYw!zZn9xzuNl*s0f(vU{~qvO_t
zh$pFPyrEAdx5;7_B9m=KhmckQxh{T^N%DTL*zK>Zj0&$#49IMKN42t~W6|tZMzp+5
zJI#xwK05I3c$9MrLSaQR=WDH=Js|&`awZc{PE0%;!ZG|pCEneq>{aU0FHqcIhq^(w
zA*hm*=&YW^4RuSOd)5P)xo1b#j`txZv}e?iUeYI$Rr!Fm5gmJeGSiM@1PEmR2915?
z(d?+=+R5=3fcy~aCJ%ae-WNYXKkT`gHf0Y}M-P~Gt(%I8gxv#pyks%wRNb+579R?a
zJ9w(^f%XB9e0WEZuUIA>=V>BvXf_Rv;^1TS6<1}?}2rS`K3
zW0mr~mfE^Yy5aF@&n6Y<_W*Xp2gdyacYA!Kr{YW}j(5c6+bQL*FT8QAjcfOQ5W&WF
zJ^VuYN$V2q8xvY*R6gc-rej>?dnx`zDp6voYezcI(yWRH4Eyq9|02Rq9sxbE{y4kb
zGcir;iVZnORqH*HCRyOGPZq|@Mpt0fS6Dh?3hWTtc@Yyq0c|k`%ZVwK|NP`lholLh
zcSIkWza6hgE$`s{tbd!B_tt6BrsYbBLgDK+S!vtnb~$?OsV+f2UJkD2BKe5ui?4pE
zO?~lG6aQ3O=}@&Bwhe8i6|)hmKv}_v4#K{6*%dh8(G^@6Pc$CO{2fLE-j2{(pMss4l{hKIQxI
zPvLPv`lr9eQ{SR*(q`Ei2W;x*k!s|0Yp(J{Qf#RtU>@`
z#Vm~`e@1ybIbj&t%cqW15K5{FvXT-%>)j?d&Hl=-&WiqZ&e@Blf#j{n
zHu%OLF>?vqad*=k5D0Bu44jdL%{ea_9z!jrClxU)**}27{1EVUY`2}p-&OA}w-V{2
zeil1XJqK9?rxuX&H-7!
z7gkXBjpsn=N^GBX7;~$%NsL<9)(Xadel*80{l@Q$BUQOsvms|1ME&DO`;vg#o;C#q
z$M!>6Uumr+aT{zM`%ZB~iKK|KAlYgF2Q(le%Xtp2TI6fB5MRl~4Qj-cz0tb#(M
zg43ywQ=d6!Zv7FXFnxdIXQOL*%70;A8~kw<=K4~BW5|z3-BXHjCXqlB$qrGf3yc6(5W$;bXLiCAbIe`rb&B0i
z$kNOl*Pdj%a$n51*9{k`(W`5Jf#F`t7j?^YgKk#te`L7xtSd~s;z4ckD0H8z3EDic
z>)JkHp3>H;#HWoey=?C#vd3I^WJT-o_YV{IutUXF+pa%p3uYY%(Uh``;n9I~T~8~*
zZZd#yaY7s~qq2Cg?>-VNA&nW;bIDF?W+Q8Ezz4(i15i08La{ErnkGLAQt
z+&+8c;H$gWe~arfY?8WSoBsvhAvC*QjT_)Bf<(jBc~~vltSm*EX_bh)0}@^4cU5@6
zJk6!g4)U%ca`WA<^)8Kfb}D|j-yAP}{mP9O
z1E`6P$J&-t5d|ieZJm#eADcSde)hrq@%qH|HuahNqkT4x#_`jV6*OATwziif=M2ni
zSN|K)a#tmIbXGN%pV*+v(%_-#7%$Lj?)9A)%$xJA$YLfJpS)SkLTZY7sTNiBz4e~A
z-eg@jVfSWVpNyVN3wT;${}OMqXX_`_wa~`29)A4KK-tEMDc_3)!QIxgQUEe_uteF$
zU8`h{_i#m-Jr8{DXY+SM3Jfej3_lvs@mir`yf-?qp$+d*OuiFx)f40mcHY)@uMp1+
zGpU_#BhR5jKXyO;fimJX-t7L^*$~wB`jqby=nXC_r9Ri-Qnho6qTtcftqmvOz`e%$
zty(4KK%XpA53~{Jat2vb!#A^gQqj$R1278n8hPxMYp$j{K6So4|NQ%th$G15YfJ2{
zKbqd3;F+1%Oh=+Cihr1v7+lCzXpUWqw{3nr<-1ce{Qc%5x(mIA4c3`DeKS(38r1Zx
zbrx&&+_=^1&cdH>lg9NwI+j{Oo<6$gX+LlqYT;O7odFl2%QKT}OGF^X#ltcm%>%&B
z9GrkL|}zv-oZYJ)s#@b+u*bPW!yUf)+I~=N$QiS%7py3$(`O?s^sBqdh;DWf$e1X#
z3PrcV?Zu#Gk%X2xAQCD@4C#oGHos>xm*>sMADyXMF1>?_L8PkzcK%74(Wf-Bg
zI}h23gO_1=jaILv4!PZ+Rq;{&m3Dk8MhMX$vUTUF
zauW(i
zn(TbFPxD}4eR;RM6z~QFDDcP#cZvR3$)T&Sh~W(^uwo^Udkj^7!Hd@*9h4Qq?61nL
z1DN^`e-HR~l9eaI*E8;+8vQo6)C7LZZLe$DO{(Flo?WeOU=D`mY*`ZV{)s^f&q5yR
ztxZELxqPS=+3!u0Eecp+5$}f66*yl59*0nMEQ=+XE($cqCMNpo*dx8rra&RsqFy0a
zM(Kgo=)$}d3#cY`T`JTq&6>r@?q`F8L@X?i534?qtCq~~W!nuZS1|@k$C1nts1PFk
zf{ALobgCY6H81hX8%F8@r>`+OMmKWnE$`Qt-)8g@
znv#YYRDDc_<@X9vx>5?}H4M8davf9+BQYZ+Ja&7XbVP^>F$t?IcvE$!E#T3;@=mAS
ze#RZe3zG>$j7^U1s0B7*A@_f@BcpGO5m#W%6Jg8x4!{Ienz>(S(sW}-MLZnHLbBzg
zB6H4l31XAm2PGR#W&Ss{?|eIqjQpUs{L-r18_>THH2QGN&gF`k$!@kBJhce2HCh?r
zlylOz{`xC!Y_4}SKY#1S7(igr@5VqD88_%XqsKUS8
zZ^UDD=I7eNDuQ`e4Cc*Bj|Qtfn+_kg){@(%A9&ht0gT|__-b&9iI2Q?br=mz?-jtG
zg)eDrCIZO+qMQkVi3*~$HL01(*udZD_?RM{q)tfPf9curO}!h`;x=jURmW&R@?*nD
zBlA}E@N;$UmKVW8pTFLFcWELePleTaQq{5V_sZhIOP_>_>Gf=zbgFFiaP4v0EN;Ei{JgI1FBOC7h775riKlJCsd7+Ow|_M+
z&!($}*e*(`&`VY}I@IM9V<&(opZEq&5ZNoZSVHP4#8)^@~h1s8am=Z;pWscZd<;BUM{a^i0
zj_QD4#@0-8wm3$@?F201iRqo{HdIXTXdN+F;2!k-XCK1l@X3N7*V=8
zJUBi8NOAIrk-}}-A7A+_zT)ZQ=tA@#igYVltF@IV61;6H1PwC3STxmdy2?E$U-~xk
z8MduCxUj^u{~9ITxT&
zWzSr^k&qJ7AX_`|N!yp^xDKGqhVWKqiGoSd#zzZfZ<_2Qran~F8jnm~h&9DU
zE(!^nR~o>Vydnd|#0iw-F24v%*M;Tls_y+LXkdJqpf`m~e=D4n-T#H!B)iKl?{9zP
zynn1*W26IEC`-`O$!d@>1_SRYI45C0o*8@M-7BvZ2T9yybBK7Q9zyD;X^DvWH|tjb
zfr_J_!3srsqm+mtVY39O7VoMh#IxYd9PRC~G+%??hF>=(U@g>NLe3FU6ml
zsCp6p^njArp!RALqCvdgn@>z$gcV+?=MVd&Tvq;@dUV5Y%ZK)i*wjCl*0h6tv|e77
zIZwQvEP!B65^E^3j~Qq%OA5rq(~Q^{5O%5%D67}X`(5U#1Xdih2>}zI6y;7h9(cJHa#!iKb2W{d4MUkLb-~HlrB7A
zt$8JMt^69FMwu$Vw$W*}XUPom&9=^6`S{>%6k422^dBOYXs;j$O-{js)xl{d2l;dK9AdDu{)j+9d$MER-0T!vpR~7e~*e+F{&iu9=7|wWM(PDsB6TqI$V5&^j-lZnIVIo(U&R%?HX_!%E3O71Kd-T
z+pZbaQzne-f_TL1^OU7tXMIibf0^%PGMOM~tY>Y(PVaZPzg8jtfp^|z|DE?X)a(X8
zfVzZ`H7p1lAHD3@ldv#o*g-R);^C@Q10wQ{ZfnJ&*@BSFG
zS;0mKEe(9A@&E{HC>yurj={w2G`dJU*zt9Klk0fRI
z68rs8GbAUN_~HvcIbbmWU?E!a=*xh4&$2=-^D4j>i=*T>7*UrQ5CPy{QV{M5_f)_E
zqGg-~2)_=!)iz-$MO*i5p{^-OjtO#eYzeQvcJMSzU0a+DDjyLW9
zpR9rQr2jjjTqPYBz32`ZH6qivKbh!SAY~rqqL^#2cRz8#yD0yP(%2VxGVyvK6FFab
z#vOko(y!S1*I{lqrTV*C_h<8-o`tDFNSG*hjJSVW$7#_M?GpwV8zTD~GXq5NaH=Q1
zB+7U>OGXxBuf8s>8o<8b!{!rWJy*!YNWXfL)8}j2!JUZB;Jn`A=AuDLP5~2ziSD_X
zSb@rsouOuS`A@
z>!SFTA*UbVhkHh{DADnaY?)%{oaI~FNGV-NHgkA-vD@KzAAD>eY2mT2OxOW3W=0
zQR%`rD
zC)RH0oB0LK>MjC*CDO_4m4?>{rvkOuP=(U@e4
zERU~r>h`y8;t5z#`^hAgtmktJ^;mG^Vu+>r^NTKs(VuTTelnCVw;O
zUd7U8eHZE9!ResCK09@<%qg4yi;2r+gKoLWv?tzG?@0GrNt&(ldBmJ7yJV#LxuJ3|J^pDTCEiqZqJ
z?M40`k4VtEtw76#9$&1LCi>rs44^f)wad9TBSbAwHe05MrT5@Q=PHfU+o#gA9c-qcgGhnoe
z_Wbj5sI~2HeDTh`-I-?@Qi#=-<)f({C#YC;P4C?-OJtqJfKWFf;?+f_v|*k9(c@bS
z)U`m2)9?6*5n>mrKEdMYyv0!i{r9hh=ba;8er!r$lyHeXmN#H(0ivk7IcGWT7jkLw
z`Eyr^d#e>TecCj4$pPnu_TP^9k?TlHf@(l(!TY>*mM
zp8`w$cq=8XiMy$``$EL<pZ!5Qn$LvxR-enT}Fy^iYiU8N30XFa77+#`n7%T(CV*
zj{tz%|F1k_W~iP31+)tdq{i%A)aj7*HJ_IQ+?0l{Enke563bKrY`S1f&K;B
zOpy+;+jaGPx9WVfGg^Z_kxj^y#sZ2;*VFsbVu%kfY`NkH5?8(xXnO#GWrfy8w3eXm
ztiLFm*7=U;`!(B&Y_2}*PJDjz@Rbpw+-~Uh!kg)1qyQJh{+Tie<^Da5jyo@{Ld5Oo
z9kYO575BJtN=P?DW-UnkSU?6IckQ>F#?#3o0?a${=}
z+QwqfG9+UyWmk`vg&#m#+wu-?`NihxWunuiboi3pBWgL>|G}=Q^cLa{i>}R&?wEA>@I0S{}Boe1?snN0%uE-&lMcjSD>|MF>j%
zhe~W8$g+Ok9@&8aOb>O{xvJrgua8j9fth3ah%fd$vq}(S^Jy1cYFL?+flfmKXAB-U8(&kxYAsqv(Cb-;$P*aB}nJ=cDd9Jh2{W>^QH`8htLa0XLv`mv&Q}_3R_{8q%HrVTRuOOAuBi-tpRl~|
zNaBotoILg!+w<`j=hnqxIss;nowS@`92;DNAHAy43AZ17XZm{J@`j>50Q@$%+WU3-
z;(}5XhMupGHim;JNe+fzD^NZbvfb|F+*js00LQ`PhKy*wtN&mIfujt3p|4n$D}dI(
zX#3xRmjHh63P_|fv`SZv3!8i2f;SFcbGE0cP@N
zwQxsvecnRBVEo=FL8ki9?gA*q2;Pmb)sL1tAHPT}W?<}7Bt_;X=kf+$H4s>IAY8jh
z&L?y{u;r`KUuTh8J&ftX*l`pBa@ATP!pR&e`mAWsj12-9f;hS`o2zTrA>pN2JLmnw
zxoEbD&121)cJZ*m{1M(v%KpsmGrQyuSYft$C7tyD1=X{gK{JxsN{|BQlfnC|0)7KP
zYR=_tpFKLY6TMiI1vxrgYVjW5&w7!>h4}ZxO4b^cN
zAgNK^^EciYb1I8AW!-%twM)A&oT0_7xzn6dxIcV*e>AamRn}=(^TFBo=_X0{HP4=B
z-mp<|F*yMN%(s8h0|e5*b_xiqJ*=orh=5$c=f>7AdbNsDFXGg>y5}JitZYRf>NQ9k
z?oTi30!aZ)Pbn#1%4ogw*8W)^&)_6(>Z3M~
z67?#gRf(%hWJz`Jp1#c^dRmSmJBCb5L$jU*EVErYAQ22LdH?QQM(*(mezQM`(D3)bhEQc!D-Lgm20Gr-|$JOo%d7E!FV136YKU$fxiPHe#K6)R{$qeLL=L!+&i`UOT>
zX*>I9qj|>YNM$3aS&UD_IWmK4h>95H7rUIwYJ;5`4N9-ra!$$Rb47dM?LC`^&W%Ev
zmBxvRBdDI=T1v5{Wji%mbEW=e@#Nl7kNf}XB8cF8kwN=X|Xb*lN@^PMR7gaiPv{UZ~?=>qv$Mh|0
zOu7LB`ww6$oyPbVKHf2~Rf~hsT4JecXY+KlTdO7*u#&@cm{B@a3c%+^-%f)YSSd+m
zjY<-TWm5S!h)DkIDSZ&r?s&wFN820YaL1pm)%KJ;o6$(TS$$Qh0;FVjBh4a!;5h!Y
zJ3=OGdO&exI`+mhF)^B-^E<6_E+zVu!PHPxkHuMg?f#!y!uH{+|2ApJKP&r*2fC_u
z*|88NVgba_5^BOgalyd@Zc`fJ@ur7Gus{E`R&R7iX-MT}%c*#F
zXIp#}%*dUJ+T}Z__LyR+%hf~S-qG_w0@DX&5mS+}9n_36KkTb7S*~%Os#D}^`|uZ4
zUe)0)`#dnoX(*j#bU-#);R-Vwvxp2*(d2?j)6lK7oj;8D
z!LNgpZtwz-y&~4(2yt9U4&ib84g=;QYQMYlO&K=AtJNHvj;CXvsp6wcgffpkPiD?!
z-F!$B|9yUFNlxZrSx&sG%lRLL8uiaHTs}gL0_7tZ8akUwFePPk=iqx0ioPS;x0~-b
zIBhX!9kZ`Xna^QHd60sVPs6cg$Wz;33Q
zq0^wg6fFi3ag>QLQw)8nu(y&LW)A^bU^9D{{p)QpW_50LI2o-KX)T-FkPet$U53me
z+>pFwmv2TV)d()1nNz{pv(CUZ1>o@(s&-0B?j*TbMae;59Fqp^ghfvqmM!?hxrPcSx{*e7^*UY#u8{S`3QSWClmy@jQQV7%}A|v
zY}FAAhkP`pA%owJ(BQ*@wUs1Y(tXHHz=-SNN-SbTgd}I;vT`s!5lM_P(=Jxt*2W@k
zEGBDNaaiB+fs)<66t)T3d4|hA6$Ot-fo3Scx>I3$c(CU;j$fpE!WX43q)3UuPO}$P
z=BzOnDbmDB~1$f)1QF3zJ89wZo+5P{-PVR`YTMsVK@WGq%oFB@~B^$GC_f
zS$auZjs|>^|LvroFNQIu7=dvSBGA6`~s)#^3O*7fa2r=tIgXJ5%&|uTi3J
zQggmClByi+3Fhk&69y4Epp*o23|DhOv8J9K|kkuEEFsgfP
z@$BuKa`kH5CwHGeM=*dLLSYeK0zL})BDL)hW_|^Ad3rxf?B1yx3AK+!%$x!!(0!N)
ze+rbfOD%6q@op0?+P^rx`RvCtxc)P^aMt--qv!8@^Yew^4y3zPk@kvW4zHSH+y#)t
zIeR#D(@P-&S^s}@-Gx__ebhes8zvZfW`Ln_NNFkQ?q=u|DQOUp27P9R0f&^9mM-a%
zZlrZ6K?DRr1O){wRFuPe-nD*fopaXtEAH>T_qDIjm3JO2=vP@Z!bgqxO#s`+Yeo3|
zXDiX9LG;?@W3ng|pbAQWF^nGJB2EGxt*AcAGJak&P1`?
zOwHyz{EM8AGBKdC{74B%p1Lswndap$23s7v4FL5Zx&)M)eYY>Srb2NfqL#YKCnU=)
zMsUodE_SC{FL|7=xME~*g)fPNyHlKUggK6M|KSIUn0VKRP#L(#uuwjh
z?+9U#u1E1UGz$)eR-bvm^SG^is~*kh^uw&udMjgpO1>ila6w)*@i*tmv_lsmz)}%$
zxTxqmo9hW%DHN!r04lYhud*+r0SWt!uPhH7{%a0}2Dflm|11~Qs!OM8px6_!m27Yu
zNf!R9ttSN!3gvSzg&10({_IOHk~nv`HPd(twxNK>u+98UAsn27fl`WsrQyAz+(4^Y
zrs9)&EA}lpP7oQ(Yr8x1*4He!Rn&ek6r@AENT6|eVr#GY859p4fvOGHy3{jyx;Ih3
zQOb?B+*g3#hAWXVOyIzZJ#Z;}Afy(MX2~b&+Ao&96mj%(e=G0_8cBADf
z(1j`*k@gXuLNZzT^R~FtQGREJG#?U}@;#TbgtRFe`vWvpE1bIOF-J-b#h=M1Kp%z2
zHq@gOf33nS@bszl)633LMEiNRINT@PWmZm6n8`({%^%GrT}yG9sFH+zWZQK+4)Vm&
z=-J?oh&{F0HR{%{N$?mY)K!t6{;8Jvl{8#R5$8f4T1tT{rGS@ShePw2M@8lzSKTYD
z3QO*B#KAu$CH%~VcAg=m!{B;Y#(1qrJv5gF2J#L^o)Q5`x!&YE+T-uqlkeAeHzV1)
zw-$pDS?jPeKwb$zkVfq+mUg$3B1(yyJn4b`k
zjY#&l^sr~peJYW(WKjr(pDW(s=MbHl#NCKN*(K@d78xQM*n3XHCu_&sqbwJYV$$EK
zt0(}hMwk0SqjzSC!ATWnMAk63P^)2L;=SY_Mlkt3)cr$#W46iOo?JC;wI9?{<_m+;
zDX3UusR)_?odzaL#VSkJ$)SvqcGjt?aekwqU^Oy`(eRi`k=@t`cEGpOnru3)U#>Q#
zoMZQrA7v@kSX7dqf^u~-ET$0xPTbv+QO&FzPFiv*IWzU5QmQxSGB~W9Vo~Kzs4g0*
z|31u8Ne!Zyiz!ARF4(cV8nc18jL@$$<8w+}K29$+wWQ^qr67vME&g|p9-`&y^OpF=dB4oO6z(K;i-F|v
z-q>HusED|!{<68-3*IgRauRbW{<_7%)_GU5DdDA8ZaWOdWD`CMYXQLmOvG3Az5)2Z
zE4J&FQ(kN1-;;l)aDO#eW;%1ZC}Q#gM#~u7TOCPalWVL;$%O$c>`P2fIDNv8Ml0q8
z+*g#$5esjP=jMQE015NGO09fp8l2e%47ck0gf-2O7@aKh#8LB)jTIVR-a2bZpBFh
z?AlrC_L!7%9W9D-r;&y9x|y@vq)mI^cW+s6ghed69q-jw`s;6@T4UGtmId-uEo`)reU#x&jxzydORR`)Rz{|Fxut$LpC8!#KR?cqV>!bQJen{A48BgEO!k9X&#S_tcB)
z)Kfg*iRtlAkM~CpPPuPzXiC6!u?9ZDXa63U#a%ZfUp_l{^X!2VhkeTlgGIuKMi7wx
z^%^gjPwh)<#bKB<$Gcd|n}0So#ETaG9lNz^3vcl;;^ipSUiERGJs-VHwY{c%*ZoUp
z5!3k#!z}6_QH}2wOHeXxl8Ox?&i}oNZ#r@=+qYKZme#tq_j~EXuNmK$u}n)x;~I~X
ze@ECa?B14Scl^gt`v&6scJA-)iJST7pyrQ;qAyYJe&W=AIIEr$QJ=pY2H*X1zApAS
zvtA&3$S(SpK>6hWW7})9V1e7@ht3n<_~wNp0{e?
zoLjH(e-~2w7iiL$NN-0MU$%g2z(x2QIigm$~H{@h=GQ^PHQOBz1AplxQt
zZJ2;IY)zAXPGP+nC?hz*JMzd-K8;U-l*9z+8eS>SnWgmC#IKZR`=x!8
zB89Ne<96d-nK&~7it#sC&@9Ca;B%c}RL>FCr}muYVeqv|wd%Biv~>D15!wDTxD&N<
zWQ{kOhTiObb?n$3{QgB1^{Q7!haPo({8Q#(Ozquv7cnDwpVdYXg>7SfwufDvj&zBb
zaQ^izqRHP^?>An5^&*wo%YN?(MU(gdv6Bq$)qag2892@6dLk3|NE3DzrXjo^X`YV?BD7uMP3naoiFpf9W#6Ve8Z!A
zRe=8J*1mXyt$+6~6y6+_G^!4HS7f?0RRY25Dc$q_$=PI10EPUm
zH?`MXoS+!9cd
z&iaGV)aP^=l|}~W!oAe-J>}3$y^d19fTmhNwBpR9qUz#mHDIxUS?_vD(IG
zRFFr61=t|&G5uI`FE(s^RoLK2`P3#OAWOlms`JPCvl2luhhqH7l8OK7Zzfguv73)4
z9TnUky*}ukpOQQjUs>2B_3K#Io4;In)=qIvOs+=!msNz&`~m;k_9hh>nkoY|p6(Jp
zCd#vUU!)}2^hK|+j8P|*tbEte^RwNDsZj9gv%ktl`pcA&$FuEo-YhOJWDWEl$H(SaS%=dB%oMy3H*1`
zKl81UyyKS;-u@b0?QqvCAJJ?N
z@>@S%n7)Ypc`3t1bh~oiiWd9vnT0RQg#B`?zrOIZj+#?rxBZyk;8+}S)c2=u5mE6#
z#B8DI$&vhqk!P6LbPe5r*|)ZcCw<2%UsP|`4bz)kbdsl(RP|c>hTrcgO^E)&TY49u
zcp^*N>^nKO{O_HBL?w&6s9Ges2UVm7&EPmiq`6D9@=qcBhPaJ#)B>PzMs1IlP}H`!
zfZmF{wjEUy_bblvoxIdD?@s#bl`P3%%QH>%KJmeAxBSb1Z7`N4v(8~yVWXO8!M&1C
z;vZs3zQjjPNQ!0fe#d1ZZXWQrcaA?0U({zXvEe3*559iu&Fqt97Uq5$MDlvZ?kr<`
z@qB!}fcp{R-@Yavq0AF~FAfFr(xd{G84#hjqkp@_9XoGR}qR
z*(0^9rFpb5`472zk)?C(0wXelU8s6K(Do5n@2kRlPh
z5c}5u0|Fl9JGsY(or-UL-bIl7+1Clle+vSD3lp
z{pChmT018V?|NQhCm-{BxE}E<^KjE%gD|0G3u=`S`mhxk8fd{?3Oen;Xup2kmeOrnfkr&7Z(OH{szkQRF6FC&
zuv{oz2sQE%ztp0Q*Ycvx4yvUJy|Iiq*$Dw<^*V*3an=tVFS@R|!!?Vx>GJ)L7
zO}YRBN5F`HNv`V0_g|t7eR=i*_mIP-g4VY}oJ$TOO#jY{#swq6>u!6w?D$Xmr4QGw
zMt$7I!&>qQCp$!}ypgSp7NO8#`h@gp6jr^0c>TuJZUl9kgUiw*zY0{W+~`@BT?Q2r
zVPhNX7Es61XCwmz-pk0+A0EMJLrZq@Y_6qZ
zNv$-_$|A=;?EVJ2@&4X^N9|>OpK@EBQ~$-Ci;bQe@Fn;opSFf(wpz6E9FY`T|5&2e
zU@p?L!_>K-UHz&?ZSAIE;7n23xySRO)P0$t?p|+JD!pYXXHj&ItgEE3fxI5s&5&;!
zKHtSNG%8<^988n+y>!QCMp@Gf!C=#5ZpJcM>~{_$#lvo=0=~Y_PhHC_ca%CE)+ki~
z4O9!(4Mgd=ow3qTtMv)pnI<~#^i^MG3C+s|TbL1Fp(ComA%f^P>gy*@g*HC!$S7Su
z3jl@Mw11?|Mf9!XIH6cO^6LhJ2v!w{ur}IVF+|pIu~qz01aOL66FAlT53$)
zc^t3ax=b#X!WSbAq*LHY{7?FLat&&cdoajwm!bqwlZazEiDMB2ARVfDf21s6Y5*3L
zIih~tE6sYqipNrL%V<0{xN6%RC8gJvF`(G`GyoSMRUQkel{Ib0(fLboa!ajlgV}2Z
zwxB-Knwu~(v>ZH`jZ1;j*D*mR%BtY!B_L#)!tv?StK)Z$NPm)(C5x^+UgDRZdOL!t@Mw;x&V&70bxc-P6ge#H>qggU4uf
z!F*X8-)Vl_w0`K4LK9R2NexxW;0D~xC435lGqtqnGzoHe$+%bR~k`H
zGt5PHRM*WMp0%o87;&+x3~?CqOBz>e%++*Uf3Ezvp3#`$7v1nFPBb)AylgJD*Lbez
zT6-VMNC7n&ACcbAgxuF;u#%ELmbHm*zFT6x`66Q?g>eDgKBHN_(J^0?ZX7mF+kV78
zvoU`ZX}rUTxaw&t?=YN=9b0c`*si49_ctw6&xnX){CGY_Bo<6Hym)&lF^~t>Kkha?
z7EM%(Wn@1v{o*gC)`9r3CegBJvOV2f4Ilr`SNdVDJ@m9B<=o7%i1KWs;-7yef#=1=
z8S}_H#fzc_T18VohvZgX5;#nq##%5%vOeDJ(W_r`J$a9Qq+?DyvZz%^G@K;bu$w`1
z9f6s-^(m$o`U@<#%yWGg-YhkkRlHbEAu075=`Wb?5GcQMn3!FphWb6CwS+V1n7!P7
z$scd=MjFjDu`ud41BuaRRCt+~SV1amdeHL{V9KeO5sc>*zBbP+d`ve#zSxT$;x)-Q
z1hWWOQa2$>i&&h+SaPCf&dRgAB@2a@*4A_8<}K@>SHdeWCRdWusiByT&A$)@
zm#QZ^6SSvbh9_%H6_pt|+>1z@+WGRUfA1=k*_N3nrr76U!Yl@;fCB$Jt4DQ9h494;
zBI{pE^ndX=u`8>JWeY9+(v5D~|Gk6hf`qGW
z4pt9MEQdH$hGlB&6L2mLfE}SS)q(R@0?r$(kA()4;&p2s>Wh(J?#!yq*`9lIwU`RRjW&=f&I4>8#F?#(x!y+IlPV153^BGPeCY-2AH>>czl
z0-zWRaN3RpcR&CQL5THs+)$X)+$OC83sDCSR^48oqrJ7j;-H^Ls9?HPXlHwG*&s{j
z)+#5A>0BpHAIC_9tykS*W+5^L;WqBydRv@G33CQousbIvFpn`zphV#!$Kj@KUxa~m4?s|0IM!`tYM?bX!V{+3vnH^G1u
zZ;Am>O)kvh51DLS{nu_&Jtt$|a*hIx_}v4h=i?Fj@eG4;KrZ2a5aG&356135OLq8Q
zIYTa7u3m9>h3g7Aaw5CAX$up#LWLxKo=0^1TlHaVaGBpXEDLUuE7Th)743+CYu
zVDGQpX4S=>5A5z={@r#uNWg5zL16DxhZFwWe#a>OP%LeSRTk^_)KxcplktR%KMzMP
zu>;K|SVcmFO?RyFwxNLl_`n52cV~It1yuW1jtd6czhl?+PIVir({<jvaJcm?0q;F+h^4dx1U-QW
zsD{D$exy4VHr(}||HEq4EkIr!Du`3&AY(t+)Uv}-MLuId!#Qn{rt!>urTPaX%Diq5qPnPuA`xxTGgzh2=bY-ggWdFOhHQ>!O
zb&zpsx{|l$yguQb>P!aj_AYvHxNq%4bjBe8-?CSSjN6B}e?Cl+hn1dN#Z8AL;l8zL
zzHj+IB8VTT)qNXseF~mqsl0ug|9xBy!&No;Wc)a6ll5D+_R019R1^NGo$gaT)Hkd8
z6Y1|kN0-l&z=Nl+{N{>%hq^xYqx|PqeA`O=#$PyMQZf%RTC@I+~#K
zpWAvfxpnj+(5W%)1I-m_oaWf^+#3!YFYP;yCiwRU2E6?IsnHqN^x)%I?r|Ic#}!XM
zW|;5hkM#v-+~U9EZP_=h=%X#!qgmC!Qj>uCec%4Tzz;v{yB`2;vY$VGUY|_!qRsn!
ze46HP@ErRd`sGA-{nYtWh3C;%-Mi~Q0>1{{{Y3Za%=7NAuFpROKCcaa`DGLEYX3_K
z=jX+)yTGLV)|UTA@t{1Wpe37=0+pa1Xdp$+>(eIx7bPcLX}&>Uaw`R&SZ&kH;H&H^*CwoY~7x-q+ZnTCvr*lu+{A-s|^FFI>8pCLi<&}aS>N-)*q`EcT*_iySdaN3H7!{;2-V
z|5eb1VoF(yMZ#3W!~b3a|0r%@`>o$!!~Ne1y4o*HNt~)S3>(MIWDbt|dfWm^;0Tw`
zjyHf=X(M&C^|>{eoxRJAP|n^CL@wcuD<0>S9d{y+0HT}#Ijr3!Twi3VOqE{u-phdZ
zcym8upz`3!(m)-$ChHm|?&a9A$?zodpPlbzi9hh+PY~RO|D;6!dY
z;CG8pRcS)+Ey5GFY@ytMCSpZx1D*;Wge8cm;(J=0IHNU4?=Tq0W
zRTrl|gnD|Usd|LnHb{0zj;Y~3QVPbHq94i5IGtCQI)
zrJXJj*=t8`QZO}+&&*l(@7c_AeRI|b%|e2=b2m$RD5SV}-tCStrWpaC=_7^;b7?4*4eI
z&0*|qe#|n`>$`WTGtgOUaW55B^DeV!Uy$#BhLy?~v#G-(_LZ&`@;;vv(YOyAhqU`I
zrJ~iQIze2Wq|CcLAUNu=VV
z%Oogfe_}A3^8FmuW04sAp7^*9!*Y=xjvU#{GC9!0da=t0{@Kw
z!&v7^p-T*8Kv5}7X$n}q^v@Rh?qgt)@5TVS$yBb>3By&ma!1U;m1s?x9~hNw(H&-`
zLqlM?CjRAG!}@S3wiX-aXnggQmnN=uAvu`Ry@asXh7_vA)3-8f33v^OIn+OR>z<8d
za^rqiCmBD(yIr(pC!mF-PioE2#hlosmzjrf3x(#pE;W0W>Bp`3;2^W
zUF9Th0226XGGK<7lW}Q)M2!hz0K`~$ZcG|5dPte`+~Zkz1V5OvF1O&VvA`n}d<3HC
z?xbOM2yeVQrs80RxM2d9I5#|(9F3y5LlSG})wxmdslxrjoHAH(PAgNA&us00
zKEZcB85$yJDpvg}|c
z>@xFF9z?-Ii>2nx{ei3u0p*qW?9#Oa@2j0hq$a8X{jw~OFoB#lpO4@4rUi5Lu8`~X9HQOqEY4lje*M^hIkarkLS}>zDmZ0+M!EfS4(i0YC_v%
z8G(Hmjjhz6J(pxN-PMewXstqnyeg7C=Xyk{`e@YWx|H`%H5rxBcoYjO05$Pf%Gq2vN28hCwgSk@A8e`wm)R(1#{bC0QEx1jo{ej=(^p*%`4V`}
zJ^Hd}JBDdZ*T{iEmr>NCN7Et(h&oZxgG?Vj+RzD>ZK_3rfH96@%FyN;AZIDb>vJ^_
zEtXpP`Qnjo1Rr}RIk3;F{#x-=lRbWvDbU4B4j85cT%JA>Q${h{bWW?nG@EN(K({C~
z`lxn1@*)5Np?iAq;i!z2=Tm>1&mBua3js(X8p{y3EIE
zvCS7n`$|>wB%5{K@|Z1bxYkc$ah-zyQ__^FY~z1tMh(I*UWz@Ks!_2p<~qT`jA8h|
zN#+liRFzc9B+&-fO_0b%Dbc9)M;#VrE?j)~_pq$s-^+jZtl}&o{NH>*
zax7!C;X#CO=-mo4yYEjYj=^FlF0ijOqvd(?dl~~sQIUtU7om1%ORuQ}g}f?z>9fGM
z7&O{dP5}B+^?u=?L#y#OSf^rAoC>|hL8n7E;^F(FcPO2-R(r+iLQ^D?W&>Ap7Fqe@
zR_0ar-k_Rin)3TPKU@kKpoR{_C@6m9hV4Ne4#@UQY6)=upEW{7!5*#ITD=tfpztTZ
z$MidSDa5{g<`JqEv9}jMK7X!fR!e@0R|j+Tmr@p_jxrp*cC-huoexDvb#JJp-+Ll)
zsKYI7A2JpC@-g2xEkyRD^bMvJijB?YpBXAy!<)3;oIR|o8JCZ~+rz}|xLYqx#I>2%
zj+zDk6Pmx>pNn@=+m2L!rAr41@8x%Y
z&k$s>@IZo>#}$fP*%kTv@V}qer5N*kkays}CpgC4!FF(n1{`8O47m+e8H<2xK8(sE
z#|1o$zViwvVg=SDxsV_H$1bTh--Z)$jbp>b@tJGyWO06~yrV2Zk)KYP>q31crIXsh
zTH6#?BzYx90~DbwwH7>OOW@T-ZXpSpFma#o+uDLCH*Kvr391@^x+92E(gog%jn|U^
z(|&LvWa|e0bkWyy6?zWWbh%55B!Ghwk`9nf6oBQW1XUx3dH_TH0!w)Z4!Y7FLH`Se
zZ%5jYY-tvF^d=v=n!6qGBIc#|7`2d_ZA9K3kkXpVhaLBnRk)!Gq}Q8E_p8(ub=!H8
zoWlaTBcTB1hG?aO?bJ2d`5`^E$>pB#A05f$WT^n!_n9EPUDj8$H5DY8%$Xsr2!O~(
z$oB-1&9LNfCOf!>*Y3h?)(@0Ju#{{VAc;*Z+>QZjKxXsqS)J%lX&dW+V?M~>pr;S|
z!oVz;GyqNs0H7=R{AER&M!Wv8H07Zj8)@oQ%2!
zNa-L^U1gm>r_?>)!8#|95I8Is4OIlPj=g=K$0@qn5j=#Dn>rx1!z}M0n1DpKj8@!t
zjnuD|i69(h$u?!)3Ar$w;)gukX*;EDm5?7qoqI*bp4c%U@bAA~zt)Wq_wc)h0Q2a<
z>4e~oF#R9{lx|*B@h=9$Y0i`9V22ZOmGr!lj;r@O1QP_x4WcF=0S#oPruSg958cFb
zlTt%?EY#r;Y51E(K&BGG&SP3wm&C(u;L`dZ<4wm4JubZ#=RyE@0)rTpg30vZ;Rc#|
z00e+jT$MlSU1IK)DIg5L*-l@-!=RCT^~e%Y2W3c0+;1Vz4Mi9|hC_miI8XCK3{bqp
zY?UysB{;A@Sdl)wq4XDL{3I2gR@rJhvyV4<#H!;?qkJCC){5K-Y<
zG2ipp5!cnr3qu&B+onoPdgbpZ5DIJH5+T+6!8N|#S4m08jj!cUTmZKeScM9B-r{xs
z12K8|-bMZw+&?LO*4_JF0heP)xlefwk6qb&A+G;y>Yj|t`-Id)DH^A;A=Dol3$mnw
z%qcvBAhTC}^1{O5eAdF>;!_;BN<39*Y!L}eE=!a^iJj>q#i#l_b;PRcX2L;q)?8Ao
z=BWqK6b^{8wK{SH4d<#?m~X?Qch%Krp@^==;Ii^mLHrO~)vJ0qEtOH#R3qR<)@g`*
z_nZG6RaNWM22yS|ypiLFbQ
z!gjGA;dN2)okU1OK}(xM+p(nDwPe%2arsJ%W&$)%
zJPDKmp=t$#$SCa2T{LFh6k@vU@eM}HNUO|l+pumFcL0YHvz}Ge$)S}VE6k2oFd8i;&+2)DAT%ba2e%5
z2;`4pKRH>o?HlB6FJaEFbz&JETfMzMrHHQM;o@)L!CiJ?PYdY1D(XD!ST6tQhkQb0
zWq}|1!X03Mr$kACe6a<_%FP8V{L4-xzdxLH~Y&0~hEPCD4GS0D?eVz&&=-2u%>cc
z|M@_#venu_5L=h2=Fq;P!*SE+GJ-s_e{lj{41kbZ=~uVzf)#61otyN0H6
z6wh3c63_yP7Jy$0){>7TQn-RGwtF;k!arPpTC!pO=BfVvSw08DaMeYyh-eTvaWd5r
znULM*8~VH~%I?@|mKp~s8K=FiOa0aRitvPxMG9ZQAj&j=dFgfQ(qzR6TPbQ({X;t{
zBPqtS>r2YGl_NM(XLv4A7sNTm*U_3_OzQNT1#67aX0+B0(~xUW_XSaP0)+#3NQes@
zBVksEbw1mew@!bkr|z^mRsTnER$Ef}ATe9sF1r0vdxlJmaZ&Wv-3~#rB)fl|NSyyO
zx{aB$D#zZd&RfR8tD8Za7O>a*n0x>j62zEa1>mDngaSqi>{fQioZ=o1dnw~a#`5H8
zq@~Gc#V_4JntCB1Z*Ef;~B>R?3^fQx4c)mqWT%dA
z0sp=ax4{P60uU_iD{J9v{_Xtfn_EO})L%KIL#%PDaV^NchuIbE_nkbSw1Ja=2%eCm
z9pK0ZIjb;s6$yw5KjJ}tbKwkFxRhMYW#~WA1@u4BHRE^Fta_r*%8iEGBEoOKBzvTz
z$RARa3m=reivs`J9B8Z2wLg)Hl%TkGbqgC6*?^{{T8CgtpM!7})ERFJVnNXlK=rcw
z^?Wf6v2QkJqs5#(i}3>ZOS<=;k$U1LL26Qsza!rA248(7@eVEfzJVCa0UVg5V`mA2etRX5D|uN0v$w^l*@XE6-6vSC%)a0b4W_Ityw@pxB1U55}a5JHvzF
zd9VguVG?-~meO?CfHP3@-^bf$n-8PgmK4Ze8(2=vG!5{YvRo=mp~;T>rYa!85JPlk
zVdzfzD~Jx79QGXGQ3nUPJXRB-jva=Cav>(?L4oR&&HJ6c+FRt0mPY9kE}IS{bg#K;
z_wau~{Nnuj`|=jVrWOh|?{*Eevj@O5=u@6y&_H5v{4f>k4M^FpagYnx#%~jX`(V3$
zeC--$z~UtZ_s848XTzCGe+S{2uOm3WhEw+c*RhF^y785s0#Gi6=wsk&==}*fkOdri
zRSNg+uv7j^sn)fjg(-8pNE|5RgEAI|zVVWw@#QC3^V*^_$J<>=CcPSB8&}x6$mzN<
zdema=2l(p71idMIK2
zU*eJ_rUh=OoA~vb$DRdw}!8XN~8ay)4B550Z8v`jY-lA#!&AH;{V)b|b&~r(RjgK8g
z)2I%Z>---DeMbXl!6BRxGEvGR?uK&CzG(u_5xA#%Uo#j?U#j^a&51ycrb7d2l^$f<
zC+|l1ZhCEv*GWugU6*;nH_iIZ1yQbprP3*|I<%-ZDOQdD9|gTwwvKJ@wRFue&b~cl
zAR5uYBxDFUMQNNY6;-dF!)dfXEeePOsyoVclmLgIP$K~n+q%EqqDKaNN7$XZJx}FS
zOE`)w-I+3d3e<+YH)IsiE!XDmo}AxA3uT$^j$JkFnsv~;%F)D>kIZUZ0zvhlZP>v~
zQj`VsNGtO0yNT3mdL_y`S;7uE)M4kWGpu569dp5&lZW{(PzuDlH8r+jASf5WvN&=x
z347!#UWX0I?@Wv`s7*e(efi+uY~hDJ%BKy&_w>;MRb-O%HV*rV^R!}iYU
z5gy>b)D#O#w;%Ybm5meO3nJ_*2UJ1o8Ku`*VjBwUrZ?VhMmQ;D4mgb>8@S{lx4T_MnH6P=?=lmRwjR?
z8(95#I#(Ru#>+WBCpuVf#bJ-b1>9m5=f>IH?0%F|Q2XvGR}%A4t}1gU?*9}1d#4@e
zP3h4ryfc4uzG0*Dnfs%x!iDEEgqy_OM--#)jJWgkpO#)P6D7`wx1E=lCQ~PMp$U}r
zpGI#ptS{2=p+F*Ks4U@U=n6WK*L#niB&@fl2gI&iw(?cmeD|)^1Lu^A_F~SccoM|D
z>D$S$XYtZk$E#ElXDUQ?Ko;V{)E8L)K6eu8(6m~FHT+#3MwTb-J4XLxwZ6X5x!0#=
z*91W=iVi;@9@5awAGMQtlVN4HZ3Ne8$%vlc3O|!qNDe-v={L^w(Nqq9{Yl#U)$1`s
zTT#oH-=o|@xkOlpLh15`zox@>*`oXO$AVcJ1G7k@E4H#Uur(cCTInSYLHbv&rA(gYg}
ztrc<80{VOsOw(#yCunYe34I0{w|M(#F||^@xk9I3ybWPXr4%Mpaw9^f)#+K1``K=F
zi#ac1aCCMHJtP*JS{*U+(ULqg44FrI3Hw}&pYS#R1kW_FW@0S65ns3P!)i3POrjjY
zG^Mz?+BokqLrWm>VB!uFgbp;g{Yf?&7_w=Gddmd;KQCkc@imwuPqX{kNGl(6YBz8XzupDneL8g~!VjqCQeKlH#TPadZ=Ju5llbKwVRvXyiiO
zc!2|)NM7$G@=oMak~L(?v#~|v)SRnl-EQl%msHI7_MPH))0D`wT=NW9#wHR-McL=S
zKkVRkVOd+egg3XV1S~i)CaXMuMQT#V$3IIduY7sD>Q|ln-4(~8X_kFC3-A}qu0ML`
zhNxytI{x;%(ue!LpOFBm#_2FRLlXdKZfS8dtxm~(Nn_|Q?I^WPvFNsGS{;SGPn3!8
zW9*Kyz@Nq^Y4rjSffQF7lb|^EZ|M*5c__G*p+4&cI%D5nxOpSKA~GOf$ztTdH(rE4
z{f6?Ml|^-1%JgCCwafL!gIEDtmAui-T!VD7PZr#zWzJTiA4S4@1Y2(Za2DDPb>?}T
zAFJn=b~`6;PYk3h&76Z*ZyAPWq6lz`9zPALlsl?_tFP-S8pc1-Y|f>6J@-)H8iBXM
z<6>x2>};%}?(63&Mg~)cZkg&XCfjB+q`dP&EnN#8-Qs_rl~dwnI8{;g*?jfa
zA0`CoT*fg=q44*On{tUdxK?b|9p|$5`iJuFUBy3sE(%TA`Y8$DxpPqXlxjigvQMM(
zwtfkzpm5M78o?;D_V2H6b6+NCv+#ZMdEM#?4M|
z9nBwU>7o&ruCg4IM%&G!0@+*w+qnC^mivV8Wk1X_Elcynfq&?9uf`*duw)09
zL3G58DRf}&97EbP53qJ0{aiig2QE_h)~|)fHELU9$o^mLvtn
z3l8x&(0D>A#H>3RKScn^z_=wO0C~_>DMV4d+L#oVbyD`zov!T$O!$=OgyDF(Q=AiS&+a!3iej4UcTzd=#IB672$yq)b+XW
zYXr?HDJMsXyyWT?SJfh{(y-tSMq`bXg(0B}@iR*G|Ja7N5@{3j;>=r=@WU#=6zJ*)
z>r!O6#@)9>X&3&D7iJGBFT9`E9UUvq(Y!V6c(KE2bO=a*dfvbful
zc4MvyI?=Ewb0cQt?vsHe^qU0b;bJ7bBmk~he`X>yPgo6=yfWZNaLgktF{v-8c1q?CLhs-1Wh+2dgp<-
zNQQCxoHuK!?We$iM7=gVZXkt|?ij}#JU5YCd8746ChanejDt*Uo;#J3VPU=y#vp>h)5az#
zydT)=nXA?(sa2I^f;ER(tm3hYSs=g>81iO`ANZrh+DrbOB~d|ssIU}lSo<`&mi6Ol
z@pRUbstz45+!{}0!Nf0Z8RoPrF8;3PM?#bZj#1a|42gl33!!h|
z8cN@N^I~*O<_>>Rt+#E2ilFu$gRdCfr34Iw9=8NspvHh&91!2j_7d-nDbol0(AW!|
zlMnu~{*Q_VAvW^Nii$hlPE1=PbUe}fyK+nb4Qrd7$P{CXC@k;w8qZeHCdP$~gVQe%y%zH*{e@
zr2{Z0*c5LN5ereCYgrRHXY1CmKL)E5g-s>!bNpPS%Db;Kc>HEaMdU`7U=$})^WTEv
zrPq^dkhrTN0@9>;DMS+!cPZ9qA@v))7DP1UEUW3oN4M1ow)FDT=GI8q%5hU^)6^t<
z9~&~DLhk}A?-5?}W>UYL$1u{I_vrc{G*eG+O&vh+wQ*QJ*gzRb3Qdqaz>Qtt*>s56
z(!_aEl_nF_j->D`c{aTV%~SPTZ!+zx6kI-ArzLX;R+uxK`|tqPlL%p_s`QnALEXmD
zxBmyTE{)S*xtgD@iK)PDuQB$H#E&sK=DxQuf1|*a2T~zs+r}qZO;nGH5Q`5w!D)jK
z&+Yu*Qs#?E<*oLlJ2c-`GGtgF)Tst%C-KGyMHAlzhx+V9Do~8CZUZcF^Pl+EJ;?c3
z;`K7-Ad4@kZA>qJ$-k>t@6TU*gBIVGOJrDyEmfm*lKJJ9baUB>!}$N==-vaF`u{(G
zpIxxc%*JSQYjd6ZZLX=dnfoQAa;=ea2_Xrowi)JDZn-D-gbGPWwapTxLXxDKYq}$!
zZXbR8_Wk{T{yTr1^M1Xbujj+m#&@Y8C_PRhyf@>H$ko;lqM00Eg6rhOWd@X&DssCB
zlUJr+w^!8V(^vtFikouJ3(R7{?lrY-Jm*%4oDYv**8!o{YJK@v1>bybjR@aZ57RDxMTpz{063yx{;aS559-a;F{Mp;N-4jGY
z6>BC2)V^@~&B>G3;!+Q@jxEF=J+kQhV&9ZLI@pPP)Nm$dB5PB-TU!RbB5t2=^hrNgg-t+|jbZLj=jZPj$q0bO<=?{9G@
z0-G%3F=d})we$Uh+PxX)qc!AKXALIa#
zI0h_l&62LGNPD%zk^#Q^3(7E21;(7{1eggT&v)03*0s^1w}r*1;BomksYl+6fr!9f
zmRW>kK=PvgzGD%yT1x#s&i|o9g40RjY+NsZnPx(UKiz!`fL8&_T56*i>=T$NL4+wD
zGu?4Iz0eTZhC1(O8h-6-enWip8|p5<^EodU4ht;29{xI99oKtkxPpSqn3$5IFq!0E
z$dFsmtk>hpjC6A^5Pa;DOh?S?{UwUlz}>U*#e$93$E|Qnz{Go
zXHU%CDc2?ou3E2{N1bQKNw6sr8&5B6SMHvOnO->h^&uB?|ILLTRbTO8Lh1OUH%5k<
z$G(1AX#f0Flv_(2>y`HA;;&&Lrq*D6KdZ-V@KYaAD
zr6Hq+uoqM7?BQTwHNB)G;ha9~n|bpVJA$p846+C>FdNgkILop2dd3!kjTq@#qDJYt
z_Dkv9W-~H8gl)tF3#Kky&);S5w0>*H`gBH)&gE>96z1F6oL6ag;blAnDW=_C7|If6
z4}&~sK!#$+AKJmZe?bqMNUs0l_$9l0v`G8xglIC^#w&{Q_}NnXXVT+r_3i0*=G(WM
zI0sJ5&@X4h2`2)*FT|b6fi@wEHx9AUlS7Pgil_TXaFsb@oYe8nMw4wZmI#m}*|6_y
z>)rjo*V8-tX%r2g)hCIsAEv24ctzkD#VLPpR7;-n81wpKQJDYqSiz0boV<$&u1!+t
zZZ4dW5R?Aq-pA%5%@v@Az4gqC`?P8zoXS1+HxZJ{F7ayca)x>ByWq5$+Y-$6_>Ek#
z{PkZsK!5nQ#l(RQc}%L!i`m2NG2;5+IG_00!tSYl+V83r$(LNPM(uLR1yzpmc?T=M
zeXWsKe#OB*vs5j(hmzF>iEJINFWDkBg_=4~x^bX^s2Kd?b1b;j52o3R=fqhvZy;?%
ztkGJ#o_DFLA5!Nd4x1|%7X^)dUH;m9i0fEQWCIzq8c@{3II=O!#u{?!s|@S%=|g+}
zWG3F-`HcN_x!pK9sc!nG`>*NQPcJ_W{xBV3PyPlQl&^QEZL+_IToN^xE*Rv-Ksr?Z
zHVv1Y+Z@Dhh!P3{}nqQzG
zpMg!ekWa@m_)@SvWh-Ox|G+6Y6F?CRoXGrt1>L8F)chEq=dYLWd1XywxIo>h$RKiE
z^HGW3fv)He6AQ&UK&x*`G{R(Y1Rm{6$OzTW48@)OE%(!WWvt$**eIs|izg6SK+lF0dU;=P
z0oheIIFD0w0(*dA^CPBo8)?)2fubV|!T{-G3LYnZlQ&i-uI#-LyYomC5GqWwfn>p%
zZaEQ<6}feXWMFSIr8b3=UXb<7{cYt8Qequ1U!w1lr>;Nu;Y
zfV@t0(ZGwkg=VpqULJZPpfy~j>Jop&|Gt^Ne)qU*peUZxW1$St4JbloXgaUM-T4vS&nVX5iGzu*LVS@)d$HTYuL7H5=90C#}T5
z+t9ld(;BNDY9;XM9Ix?R7vq%NVd7L^4jRm(N}v3Zarr18ly!Dzz?wsw=Bs}vrU0R4
zupH2K5`a*$tIK0KozXb>=|jsLUdb=t+K!KSt;j
z(>f34DjtU6>pRZ|d+`s8>dzP!FO~*o^(~J)G*EY~y-DxF?MG9EN#XSI%(yCYmlw7w
zUI{1H$3~9x`^pp!V`)90w+&6Nq-~a_zSP?N1*!e?nb~SoeK3ZJWNdsrr?{Rzr6o)|
z$U@W0*Wd=?`u3+M;8+|ui&WtzYsCQMZM96srgKjKw1aq5bEzuE4z%c1}9PiTn$wk&k8|RxxFUmfjf6b{QfX^h)-5LS{aQf~D2lYyYT+
zS)qy9ho(j0YTNGX$`uvtgHF44M9_+&O$|^VrDdBL|FknWwN%FmN&LNTE)4
zrgcxp1M}!wslakJDGY<~=#bPr>!o2|%}0v`tNlSiBibTS?M~kM#V~aGx&I>EdlF?R
z4(Qj$3-E0Z->l~Z1B;PDroO&O2*j|%UN%an`go>0(HZxSRu001&(;k3};WYL&eN|CSOw-a#1HJi%Bp-8(-YkxeZZD2vx`3@&1UZ|!>fN9Kk0De=UWUI*-X
zaH(ZCQJTSpsH8^Rv54C`n(OU1ctg<#$)GoEyXOZ>o-HqSsC1$)yBt>ODS$VBrA8(K
z97P_GLG^dk0ZShZpj5sXdF0x4kcKwx>MS7G84z7UD6uTtf
zQXmPGha3p+7QhI7I&?L5b&F{jDvqZS@{^gZOBy%JeLU}Tv{|vj&rrJorV)#njkxKXqLVIx8hhtJC
z9y%_b{pI1d)~GK6-E@#~`dyVGC~)rPeiu^GMy%~eq7{I!JdZ0dH
z5SeW|U}3*?qno3)7{_t?yJmf$<-+}Tk#~=9v5$zkx&~`sP*q+cxe`AqaTcV$^=sd0
z1p$PO+N`FGtZn?^aZeC4mr9{tHr0b)v2MZ|z-V<1;y^F}V)lU!$L4bfRSH%cjh*Mr
zf_uR@(Ne`@Y|H`R?UHLw?fbTM>zcH$=1u~Fq(U-9f-VBths6hQyQwnn+))*?PU$5R
zC^qnyq6zj|_EC~A>K_;T)ED}gqyEOOfN01FsD0u$i2|y|pn9Qe*~HiCNZZv5=SDRo
zpqGbHKm=Qn%Pdv8tr=Yi={EkE7kyp`f=ZBhl3`wTc$2W$cPfK8gC>=LmHZKayCtEY
z7m^za)VsR-Rh1szKwnCepOo};jrxSH$|&!N1g108HW`^Ttl&lKVmhJd2awdm@GO79=-JJdSa;o7uul2
z8|LT$-mz!Q!YX3&oUhj;mTlvuVY>llJ>Dnx&eu?EArA7SlYn>u;>lHu(iKa_GKc*>
z))dH~JMUV?|8enr73egE?^yt$qibn9MSPiqz@V}(?c$pvZ+bg}VcIw+v%B&QjcxkX
z#!n!}Dj3A^7*I=1jz&psy0T=agyt$QsG&E59N>`~{3~>#_}(e)EidL%V;)Od+BDOW
z79u_6$wwV_zNYZwu^t3}`V;YUe@*aKeWM9gN_mV%kTm5|prHso5i3#xl$CuQ4P0Vy
z6|`MDzKouiji05L^pEv?VNi)v(mr&wX-x)+Er)x{(ZhEU0pEL@rSI6N-sc%nl_21+
zW7nm3qZRFa_x`h<17M7;_u1PY*g1I*D(8V@2YAvZRONQQ62bTO=RI0Ha8r!XDu!lY
z0#*D~?%f`!y_1ejRtCHT$zEV}aWX{cc-IiVWXM^{XB+<#Y>(#2R`ZYeffP$r&}b?i
z3&!yH80Tyn;F)^{ihXq%jjD4^Q}W|X(Wb#VV_T2ChgmQ%Q+rWC0#{S18v|Isv>xcxfJ
zA7AcCq^eZ2USp8r-MktDy87ZioVBY%VwMkf^r9*KCpARsyc8*jCf%}6yBe(IS&3*?
zvS&z0w)3sBogvvE<*@8?T;VHdp2skR*ZH@Ig2~Ej4)2Y1`Q4($9ws&ug3vlQQb(
zD0Z{3i>@WYi}X>@xzE{lM)d1xTY<3(lLrWV$&>G-av0iq)T<7B*;=Mr9&LQzTT&iP
z*%qqUjrbl$b!3ce^W`f{a*jkixeImQ*_q*-tzmPvF_(GC>MhhdRvuGM)ivRSj`0c8
zRdmwj$Vf(_}dp&sDRq$pFHgkE2lJDLk>ht6=9!2Z4cJ(4om}Wq09!&IJ2k$QYdR5tEO1Za;CbTxKHyw3
z7`Mz-GyxqGZdG{3x%xT4TlfrFbuQ1q^HxjAGPfi|TRVCvWBnEi=y*Z@#ZKsD(+O`6
z?-#a-Z*`&R$2baf98LQgbsH2eZ3>lh2FV$?RnIkr)6ud+_zNXcsF0UY%|d<2oYj&C
z21CusjzXInI%k!oq%w-757I=bUZ9m*oI@OhY&(0W?+yl^4Dnv&b4eejY}TFneS>aR?M*ieh|E#@JU$l9sF~%-kf|z}Gff*p
zI6$SPNd)bpm!5odp&7G2XZlv^*hkWItn=)MmAjzUF1
zAY*qWU@4eb4!Z95ZqkBP(F1@iL9%x6_{4`@9FRgUMII2StWp|IJ|tG|J5}!Fr|voh
zYQ0t?Nf=EIQt+0DU2o-vE{(&P>N*7NIVMp(s}w2WKzQ|>WL
ziO;-E=#=8Dg6S`C&Igd)M-YTRV+CNv#H7?3BsyWW*`5T
zp;Xf?cEgXiZ;gbp^qitX={Lz42PP5h7OHX(XgNAlt(su38AT?wF3GV_hAQtZZ!kk9
znkIujF(1flhGuOBeL}q%8>eYck6fZ7e#L_D&}+}WbAP?<)+WOrN
zIyvd2E~>02I~UOg|5Lje15>^wyBJN<<#7ebdoiJDO4wX4JsEreA7uBxYss&DF0p
z)P^$|iU3<@jAmF32IY#2nBD~EgH`DWZ3CK$*aF|^IO%YsC53b8ZooHyCx(Ny(e_H~
z58tVjohp53eD`@sK&RV^ztNHS*b&&+@UQ|>5PXUD&_~HMPe2G#BToqq7t!SUHKJAL
z+f(V~ejsleR5UPrPz}ULS}^Pq{#_(G=RMHB_pIiuqqu)i-JUa8$5F3(V))SE!0%y=
za3N`IRkxaUdV*~{Cdf4TJ_ceYbPxlYP$~a(WWv{67E$_iN1W(QQ#6JS<_(ETtGrE}
zMn^L$g|^Rx|4#b_E^e(Gxp7|RJ6@Z3b}31LU^#~8`hRp3a&s8^5jV(zG!ykn_bv_$
z#g=aw#}fCfNBFM1uQhiG|Zf6W;=Kn_)IFHkG@yF{q@0oMa&#q+joi3&fbJP=r%@e0s{sHoTmoz
zb^M2?%eVLrd1j8Uswn4B!
zXN;vrfQM$3Ht^nv(fRG00@+(D&wjyD8d+zXp|Z(<7u{8!3{nnyQuVtwvG+&n_g6KA
zKb>1F)w6V*H~oeFFIo@!ne
zIThy|J%)eMNj^^uiwnvePGV}L$RO}w{=4)4zMBAPPlMFTOX)4AHFlR{qqlf6Ca?65
za8I7%=-6qGFH`YpZfYCKYQury0XtkewAH4%Ucz?R=Q&JwSmjnhYpAL4bQ>4z9l0>O
zntR-y9lox~Nr&31cK;Leu7{^cFahsjsWAdoCi(w*L&J6_o9ao7weZvK`A}!B-MtN@
ziPFXePDml|%cTK1`VnkUxO#A~bE1dyDQNfJ0he;?o0ms(8;0{5zL^{u2$wHTig;*0
zaHpmme%#A-yoZM)Q$2USrvuTJyOY1_Is7pZPK>^HVhAKh0R^$DyD8km;436%q>l#9
zVK$veWgW-+-JLjryZ<^l+zoWUQx=it&vZ~}p@EMGuYbQN*|n{_a4ATk{^g453lB9@>IN%;LqRf
zid-z3KLwr3%8U+w`Qj#r1%eZvqWmo?Ss{p+$-J{u8kEgH7T54Vx+EWPPF_X=7UAU)
z@h1xE)#*}uQtDyABfNenGU)@D;EDqd-2+y8O_vY>Kr(k@=&kE|SRCjC!{i;e+?6e2kYLn-x-rPSy5&9DSBojZce?ACADo=b#i=-e?eBa
zjBk7V8u+#S}Z)%OP?p@QmmhH>up~|n+_{_tn!4lcOtGzFayF&VcT-*od*%60Hn67
z;_atryWgg!f_1MH1*};OLi40fbh7MJ?$LVW*e>BMYWj+2nF8;
z8YF;2q(5Q#Bxf)Mk>jP**{Pf!Fy5kAJmEcRI%4p=YkB51sqR{j>&iV_QV!%id5YUm
zCCK?4a~Cyu<%DxOTs=0TK1(-tm6`7ozJ)mK8-?-oo6BGY=GKSHwu0y93b;nyp^b1!CL?c7
zfRwWAoy(9(?FGqN1&9x)+YSylpj}g6HI;e_(fUNwWYOFqo!OP&nacAsIdgT{MwM57
zEt&`DT%DzrsOw0W8W~vwFptVmaWy4ihmylHZOfAvWXv4ra?$CQaT29_4F--NGp_>_
zq;|kciY)MhAcU)RqXQx<1~vm%BL-Efn{`zF5oMOgx^P6jQxTzifVU9~-Raph@Xh>n
z=WVh(DgnlM@jKI%0fJr)!_8{qCju`nC@@ER`*+h{t>O;3
zg&q4k;}%0~?UAy{TZFJ}IgVFHT-=(IH4HAQn7PV4yJxr}zr)e^97^*6X^m3@Z^jz3()P?3S#wzarg~~uID(Q!(+jMB{nb1b#nlsOOEQr-
zAvJ9dE*>|>&c1dwCd=6Z$Wi@$Yw1*&AbSs?j_u8WC|?ilFdv|%ns$y+uTO&i;=^Qn
zKfS^wj}gll^AfLGF*%%2JGc>Mw`*9a`*m8=$KVyhb5odX|7{HAO}*62V2~I2{SF97
zBwtAp;3rluwsDF1fM`%AL}1wiVxmqCzE)c?;ku21d25;vZ$
z-AfmrI?GLlaJ%`4bZ#zQIVT-^&sjAVuVdpl>!OI&bvZ)Q)-6Q72um%xXg{NmOrL&$
z)vcHE=%6W9aUs>fc#cPGm#GAZ2mhjwW!_Ch#YZd{F0T~5?1LTy&>4?gl040O8&Uma
zXICEMlDCAp_2Aw|W|%+NKZMoeg9bTDLbMd+m&;DcK9NfI>NVTEJ+jwYGOR=x$~Z^h{<$gYp4V;AJ>2@cZhCK-yFP;a}abR0KMFxsLOOQL2ow~8vf
zniQpq(#@B>c=ZzY!Ep-G*grE$NQd?#F4)9U
zVSDVvqwSrs@$pg!w*d+r)iA7J0%}SJ)Dy4V`I=QR>@~PA^G>~wGu!j9&8`$4WbfFZ
z;h#q`hbBX@skP~D&2a^}vxbS$5=}9|p|IU~@fsN|`hcioioD?&o7w?&HyLLujR@3|Mn_W$B4ejEjzWQ+mum(F=zd|^O{TjOy5LGla`_Ae|s;iN4U5#m2G}^%w_hPWSATA+nl#H7&2Ehv;a#ebL{SqN0Qkq
z%hLf7<;kB2%Zb@dgqcjg2CbcCJkIBiTDD9yAAZJkn3HcPxhsOGg)9^(OV-UrjLpH!
zy0L9@s>dViuI`jsQ?Ba;B9{x=OhAC=4EjEZ2l0kbw$4Ot3>JKXCo0L;qx^guNWookyEl!l
z>8-`@S@vpGYmo+0d#Os*R#uO^g$U3^w#)gB^d#jFsf$*vuc+HoLz)9f!Gyn&L4v$f
zYa0V7Jy$iR@7kT}U0qaQ0Sx(NCVWn`PKrSSbI(`4Fvx>-HT7D%_UtBT
z`PjuFf7?Tj%-fOOQQe}=ATT#VUf%%T^C;#yNRiDiV{bDk%uys8
z_D{4d7GyVo{5f;pYZwNYL63z|(E$(sriR7`vE@=*9sv}~Y9?AVtfkIhqi3m8=D#9{
zC`<7yhk+QXmEuy6lGh6CxGL%O^7e&VFV_2g&|j5^hIeW&9fj2=i*)}*9uLS>OqO$v
zJ8rx+cLe=)1P5Bv@yt44$(A!Rl2_Zw;vR=AGsS)Dmy{BIHZJOCF1=}{dL1;;hs5)hd;
zS5aVQ>vOGPf^2lL9C~g?LA=I63U%hNG{Z-0TD=yhE;G%9motwSP>}bSGFy%}HJ_hw
zSh%Koa|91CkWVjM!eak1SoK;7lNn;-jULUN8R0z4&esv9&)xejYi)}nwA^Ha=S5rEKLJZIo2|6y
zascfJ`nmCZ+lIN432OonQ|44zJ4#ECSaR=Dx+9WNl*0`>98mfc9W|yHJTD@#8P{RN
zs0Qf{M4;GKJ|fWXua_ZtnC}GH-M2Uhg~J!cn-9DaluPk44~0_4nU$h8crqMmKv8VC
zi}xeilpq&m7IG@PLw8=HGNJe~U$sDQ(O^UEC&|0EIPXaDyDN-bqw_nH}
zy$wP);W7ifr=#{L`?z+jlV#V6R%?9BmKjy{m#C;($~AZS-+QGIUB`~{kE5nzWflpD
zql9R^P8pHjbSm{(4GY~`OPu~ks|8q161Z8hWt-QqB&vp82zrCJC)D@k&awbOPh9>o
zBZ$0N&3j;ted5Sg4q`t?%@12@lQ${SPz#gmOj+%)XERd~ux&{aQk8x_=pbFt&TREq
z5aC&5@{Q&>$|;SNhlHntgs2dOlj?kA{d8%}T#JLS{AHYDys9~PXPoB|*?ByPpZr=R
zQ~ETAO~vxmKOdx}@o(!0U)};J+pXqfopXAoPO*Z)@ejx3ReaDbK!ECtw?P72BUN5l
zpkuA8M+H>{ffXgaw+HJV+WJs{PJT!bqW7Z9biERE4&uxPN?DP~PSxq6xQsQF;E*g0
z4f{Zl0i!k!V2{3Zaa>SLJE`y@-RvdhjE`H|&N?IHwEQdsa*!eIRVGNTwJ~WbU?@gT
z9BG<6F!^(O!zNRdqNrYeQ+2zyR4?^6a(FR=j7G
zqu{=MXPtzj$nE>mCe*^&Ok>sSqfP&fJY9e5gD-WePX!J=(>6EsLe|eMQ_du>M8`&-
zNGB@NQ?%3eHKv`Exa4SotXHUE;hjIpk=Y!091#OHK^D7O+V9O*FV;^fKe14BnpS?h
z{-Doy=9Amc-cA#?HVF2X<@YS>@n$&W;!8r~{=;PGv;ed%maiB_#C#7sko`Q&n14&o
zK(_rQ0pMPcVY{}75M7MQ?B6vzkH|wboTBFNX?5G8h$@hWz@I@O6mu
zeX-;e`v<2OgI^&26Bj^B4O!w7+m3#ply95
zGgn}>+SjbmK&<`ea`@;rM#+E4!&;i|)1i+emqpPLy0TtG#hg85C+j78Y9*=(t%Vj$
z8Fo9sz*bWpJ<3&wMr+hFAeBtydW7`MwL>ht9$moFaJ+WE@k~sAQT{7ZYPh$f#GXT;
z!HLm>Th{PHq!H~~zF4-&fleWzk}bi9aBA1W_dhfZ5gd>Ki}7%&Xt6`DVK7xo{NbX-
z@t95TsJ70qklv%+)+H$}_
zb34>1p=G)mDX6mmx5)_hZ1!ItYT0*GKuTfbTGwP|=8*#?t4~F+A|SB4)F3>xq8OIP
z3LU+pVp;?q)&Io3t`ZPimly&0G^^6=8Fx0d?RcQ{@wD4@Cla2@O6>mohhUO?;6?fA
zyD{2vb@20qCkDN5J4OjUR|m5onmT9Pd7J&tJ4jD8l&YzX_kOy)_8r&)Q4T{=&Mu0f
z;4I+>2I63?U81GVWN
z{jHz&ns!@E?>4x8x*lQVJXlQ)O8I$N?;F8811Bu=%l(G{3y~fc-Bs(E1Q`Db9c;=<
zP)2id^(nR=;V9dEpGTh=z*)#f5$r4lQ2-#+V&DSi$jA3h7j;#CtG?X~Ce;v?Qi)1t
zAnALBnyES{=$u@$lO5t0){&|q8G?-ECB=RY)Md{f;}_5C+W|nSrlxFyH#vv(EM;0Z
zK)S*8%89E}<7M3DWB2yv{N0;2T0CQidCTOyrJ$^dikx+qEl(o<>vCI-$^H#SYRZJu
z)frkX^!&jbbw`NlXNv4+iee5&-jbz|M?L1ps;+qOS;}ej+@RFN+r13SfTBheEo56Y
zzqnu>exe<BjR#c)t8;W@3^d;se08Q&H8*bDOohseePKMHr%cdq$5`1zvo(57V0e^5zCVc
z3Q0}bCAq9xE~YO{feBy?PRN_pM_)o-gWGg1j+E#J-ZOZfb#%0P$Dx6W
zjKwlz$ejp!_qaUskeY&x@0rg1`?Ky{PtCZsCI@(D?1vOMc4$KNV+?F36{8uQJImHT
z*5$7uF~9-G9b~pdu06fht9T8$Yv9+~;^PzTp}X!r8mo0EF7-*ydCs~nr4G(1{D&6_
znG?p@!=iTGGC?@{tM)259=^DQ#vBDGTL?$D46Kxna>zV_cx?j=XaltbN$oq;p|2?o
z-DoHf+&(Sgi2`LPk(BYxYK|_mB)q$c0%mXiuK!?R1vJM}33<-WiwrNT6
z6u)EYhZR$PcPW$tnmCUbfWs5TKq|(B3gNuEHx5I?C&!IytBYLZRf1{R%D{@YhF7nG
zVuqaU0D73vFu5#k7~plvp+4I&e#qgCcfxi@1pGI>$tEiELqTQiqsZ{)lZc{|2go5V
z2Y_L&l2c7@!lTl7DwJZejR;l-gaC6X`asHrK+@xLpAK+^Y$`m_}|MB)D)ZvmzLap<@r{?J$xJajsiY@E&+kcooulj1z33ZHjNMVCNja
z_op&Z+w;3!OSR89
zD#r}e6{s8r>YWH|Q&TThNN@t2cu=-zgpg`?#ff!!r7+8$Ka`0v=*?KVZXbVbe1-CO
zXaXsYW+uWNYVzjc+hRa*5a8U4evIl9=yw-Y5AqsKnu3mZ%-yeRA88YJU6t3$CH$b<}sx*9f%JwUcI*tnWj$HJ;bGMm`E;G
zOzSB-KIME!^1s%DP>daid_og|YSUGo#<4};Hk_*eL{~DhTk2wBH$_+o+M(K^1S!t+
z4#G8o4y9Q4KRvhg-|@zNJ-d)|mk>|3H4-FcqiZFQ)!?s|wctmfS|ZT#K!?nNni4`#
zOY?l0ZNAH%B^dE
zq8l7}@ecE3&K{+3byTFId9Nhk)?A#m|JCp{>j^LbrC|!dz$wD1OwulXVyBApX`=)Q
zT@naz^-?vG%^BnTF!s+c8pI36GHslFWiQ+uR#EG6G9k#9Hux8YCWcCwCZo0h30tC(
z30pc4NH++wSv2AM@88a@l>e
z$snchftHaZGt@bKw_@%^*NV=%fbP)d*tQx!gmh_#I6PqnmQc6({rm!t1+o$m`pO9z
z2EJKm_g-w;ZJJQ5vl*@RpIO9#J-IWJt&Isd|M`%_b$Wg~Nn>JQ*!`+h>3-3BIZVQ^
zPAIkT&ElLqFYb{RvkunDi|I4I7FKS}!4PIXYOJhN{yoc(Fg!m=G}@A5hy#W%D#woH
zwi@0@d6rwK7<2o?<$QM`PhbkzNtTC2@E10i**nLGdfp%&fgb;SKW`ozdm>XmXbl-+
zss&Y>cg}Vt>&IaDuv6VMcoHD_gnhKppKt@Xg*!OH#NE|=i@lJ#_yDEhTeX%y{l0oE
zeVg5RsolJpQ#rj-4$1S4$*Y4p6OM&ZjZb_7ZsJU$asBSGUBy|WFm<~U1HF>3NB4I;
zO*J)}mvdVNkYfo~JcAw^yz?>LesvLNDFSJeJs7xb*Vgkc5!Xp>nLv;Zj66#rVH22COv(C^@tse3+s3&qj
ztu?UByk*2Zt?~EdaA0k1`CF!?v=ap^S7CL1V0r{b*9dlQr6l&con0^K+~|_p9r)v{5M||Tzis0n%p(u!>KRrz^aPu+oe&Zo
zhHh4tOj`P0tFvBm&lLJ)$yzInT?|UEzOf7@GNVS@!RW
z{ZaDuFI-huAEZZKSTF;Z?{^?E!-NY$Tn%Sm0TD7tuIK)KzJW~9-QInHJcygQ-|&I@
zygo6QW%T8n`1167Fx4uhLJBxUI0-Pe?CZz857b6nYVZeL+`TVOBFWn(A;J6i#yNZo
zOKn^dBz5M6l-;uBx#%RD9LKan4BO+0I3s)V&BQaxuyoUMO#VEpL@M4(f_NV-jq8MZ
zb%boADk+zeR-8`n4%O|`Nq6bBO}Kp)x`N)(n+};ft}=e=l3D0@GsnNzw)E8L-N~3n
zo>IzlhXW*LKt$%RqSNF1GbgTW4}yk5x--K`S#71YW7w&D+_?37@c1_3$ti~%m}8PPH~rTMVtlBbdUjbS*L)4SuW6sRbv8a;gN@5+
zGna$X<;wh^6%lwwW7fd7(^4k8k@NFf`BCM@ea;tp%Q1_;E?6Dld|+MZ9L|nhL0iqA
z-!*>$l1-k7AUl`KwH9BP++QF$5&|2+%e=yDgl2(LzRr4AF~1wQLMFg}YH-Mvkwj7^$r6N~*F^dwK;EHaC_
zmCMEbnC8KAwMARC8Lk0ckFM_eUETii$}FiRDMjvjPA1d(%BEl2wZ2UMq^p1X+S>br
z1E94Qf{fy3+opZB_O|V}tu8CGE|WnA!5ihXGj(S_`kT4fe(7ziENexPic3Q!Zv4^c
zkJ9+pyw)9K291|sn7C77c*&Bb-iTHb*wBFFc^P?&K&0r57X|$eA?sEu;^n+gcR$c=J-(y+&Z}Ggk0W$4
zGbAOl11jn;dS_-_ZXJ~Ftgxl{x!qpTYJd9sb_%Q=zjC`?DccZKWUU@E<{xk}ptm@y
z=p{mJmvYbh2OaDWg_i;=eU;lL;FrqBi^~GZs4}%go5*KB`z|<&sdwe^{S2xtL
zP$^GN6XI_|DbV?rQ#fBWO^?wlc&`kzXV
zRY5zHlqf4}{E?4>naE)SzLIjk5aj;&L*dB7(c&6bt-!9ubF+v3*eT&aCbGgd1(~gt
zcE@Qt2k!oK-fl!RYWqXI@#kl`E5j|P`&vrbPp#%}zm7_oav!c-zx!lVeE1vrHS6#v
zdSD>svE(N2wao)H>cHFwfjKB=!G>SLe}v9=`(t;neE1nWZ5&ZKF8%KlmGMl=S5Laz
zay9=J|FON+F*?>$@l@&BRag7s;x*|r-cZNY9hQHqtam=gclLhxKfdn!si`k~^!+A{
zB(x+%Iv9G_&^sg$I!f=Tfb=FHO+`%s3_T!75fu=m2uPPssM18LqM!nzhN6O^AFLd{
z_sraxJ9p0cAJz|R@AW+ImygGdZiY#B{>gf@-V&$Y(%}P$(BjwBg%A02`$|&0N}Z1i
zuRJLlQ${DNyk0brt-2G{^J9G`rfY%D>WG6sE>xP3Q%S$t_WUq#NG@kWIb=xtDLQis
zoun&;DWVr!cV^s~xiuhkH_uBCi){}zQOA0+B)1i_IoX=RY>*wm#AKFQMj1f@5PHn^AQ
zgr`w9%;wtV#9>Be&6J1B@|nyPqpyq?%9XR3-E$r4w*|(Wdta1LlP`v^DCWH8{`n$N
z9W$(a_nByILT9~s;`8Gwfwpe!PK>45;x~rPZ#2FhzTi1?c2@T-b1LbL|Gk!=z)0p>
zpUgM@iCu?x(4U@$-Lza?n#|VAMAvdj6-=#Ed(KCkTC3K7wEM|47fw$WdL@qLc>f8-
z6Ct+9C7AaVGjV2Jqen1*?6rdE+AZQc^#LIQ0CX@R^Lvn7(W^!g^Z$J<_>#HK_jIF9
zGLZXdQPUenL&5b2)xj+reV*yd5Znqo%QJ_*c9c*!YVppzCxH6TaRb`iAH>CH
zg_;DT{{=aFM~L{qity|aCwP^o7Y>Bp*CedRPRqxiU5m-;`QQ&>7byKK7jMA5l$s@I
zxclMB6zdrGcwhqL>NL725^R3wCO@U%e$eJ*;vp-o;idjMi>&+RuNou(wzefzWI
zFj@RHm&f~S>_dZd(i_vUf63w63&2qT
z%C1FnNRR<>9*Jz(|a(p$7mU
zU*Qnb$o&)9qXJ^+3sv_#Mt8=-dC5Ve^T0w(Y^|DWQo}{+zdy4GIg`?iFZ+_z6o?&?BjeA!J&*FYaEZ5n}OVvFtwh#=>UbQ>H_uKBujrl-3tZF-a4>)0v>X~a{b~3fM#A+y
zK4KQ_vD@?Zx|ug*tpARYu%KLuB$5+l2{{A--bpy35j)!-hou>DvMfYWhK;c?K62xj
zqQlhE>^pOYxM`M@``m_Qp1kvsfo3HvCJ2v3v+cX9_qhl9|R?X!e!d4)g(q!nBoB$rd!^1V~|vl)aoL&&lxk0
zv@B&kzu4`UZ3V-37jB>cW9EgbSBKrQ7MrN#-}`@m`@L%AQC19Iz7(;)U)%kd6z;Kg
z?JEe2f4B!rLbl#SC2|gAM$d;=ujs3ClMy@;<)t&jpiPy(C909^02eljgt45eD_5uu
zdU$_Y=yK=)Kfm=(>5)|y)SMC{KyAc)+WJx{dNy?HNe-5^XCZZSc#Dpkj#g|Kfm`u(
z-4?3NAtD4l=y~E)rky4Jlq9C&sH;q%fTx`1Dfs1$h?82T3pu6YxQZOjF73MTrmot=
zI<4$lip}J)cOtVUxqNg&3XRX3X=ibC5v%#vn1NL&+uCWCA{_6c4`pT8Kb*GaA}vTs
z^Wh0k9XvnLAE}h3EiNAR#}%tcT~1&l3juF*=tsH7%C<()G-tU-?rPCkauQbIeg;%s
z$D5*lqwSW0^`lQs85?j_leFE|?+=$my^DRyXzS?s*R{F+u2SBVw(Ww5$;*#Vo_8*~R%yPxWp7ud7aFmxUA@q2wIw0gfJwQTD7(o6wd?
z1ndSZ7qb)w*%?(KI+a=9rOCd@wW2@Q94jyXl+U?vw&v_M>BPZW^f{q5T*7*hdD+nm
zsrxwU9!wwzuv4knIstE%Xnb6*nO{S*r@rGftBjZrZF!NIfeo=xA*DR#A|~e#t{Qt1
zdeTl``4a8(^wO8Z48>bzYzlt2x4)R6xrBFpwD>OWJ$miiBWZ8^bE6jwJ5<4+uUGs2Me#g7IThMzp$vD%*r3vYB%A=`V$S8v-(L$<=sC}>Q`x*RX)`VC
zU15?Um(Etm6cR%boMC?_-yCB9BciTJ#j8`ZFbP;$+%P^l<6#!qI!UxoJ1pe{@~wp(
zFH;n@mvWl8b{L1MG7(RCa6^X87js7d7cDrMVrjept?w8d7agGrI3f7%9gIY6db9g3
z3}DYlKqO0})YfZ|!aU7_+SD9eWTLngpG*GJG5c&>YWcfi4SiY7Swe)3B!CbUaJF3
zSGGszx4Zc!I}!$@hRse$cvjM5f{u4YqHhg}pp?Jl-*arPE|BsFNZB{B2`b*u$oG2@
zC{kgnqTy)Su~1IX-xU2K;E*?q71cNlGVO9ox_!@m;)&I!jDTg$ZHaeMg@wL0(O
gU?TSC9=k;+rAoqO38SYu%Sko0H8tTtQ1k
z1(%R&HXREb|NecQsNR_`zj>cU`9;0m)%vXrEs+YX+&H=lH%p`QSD=*;Md=Uhm0}`W
zRyBchn!R)t<)%_S+u)~;C!(ZQ{y119zG~~mCRg<;*4jUn9c&1AVu*j~tCinTc&XSg
zNKAaf`DfK>sp#0!v-z*I+FBO#NE+3e{?hoDzZ4|=TdUx?A;wqneVudPt7G*Tn$8LL
z6uEiIRf-09jxM+}!;6tV`3nXk6-(IYAKCwM>YV=mVyL{7%jWJ>;@PCSx_*7uP+D0Z
zXPk8U@UePq!l|bZPF*c^)-{lV+ji`vi)>p}Ja_2~)GL>P7R^8VcQMe}Vi0tOV{qey
zYqzU>omF4aT_Nt+_J)biaZi7{7X<$}RbIKpP)#4)Yp?D3Sa~uP^Bc9B+sOFuOi<#s
z@StPmm;SrLkrb|}XZJsDTUu;!}R4PEm@y)`IJ#ia_Y{G~b`?QEKNo;muRQCCm)R?0c`}N(Z9P2;a&SNI1
z+5~fHJ|921i%X&}8DO2cHSQ};)Dim+%_;Xdvtp#y$Ir-IOcrnAjOsAq_Ye3+^I2Ix
z&3Skq10-C${mIMQaLJ9E+Hvt7&mTJPZ$XDL&Qz|jQU{{!u$i{E(Lsr1R=wuW<
zD)0U~E^p_t@aYrr$BA4+ID$wtVro3;3!5$Ytin5ghj4(Oz|J$n``i
z9VS~z02v~KVq+Plv2oIwy}uch6-B-I8S`uZS*r(A39n`uVux(700Q-x1qdujS3l@I
z{3l8D_@`D#;heb+=VUPbc0XRv#)$xC^wM?pun{?j9%e;NUderzEdmm9@IfbGYS
z0Hlua)tdk-VPhNaN3;@nrnou%)cGTsYzs!nKLl)ECg%$C`*J@vkvIS+TFevRUj0~Y
zqQDf9ImTok?#JK>qMXLvC?j)6HjLC`&@fTlYp~jmAeKZxK#XNd2CLvi^ZP{ZJY$8G
z!9oiPbeJhAMNr-_R`o;3mh>O(s!J=GXzC-NBKj44?EG5DIJ5s34h54Y8AqEjNZO
z6NklyftxQ$_H{$37z$cxgcm;Iq)yU@4B28$oH9&Lw32L-22F=YRAVT5J;Q*F5k|Y%
zbKmrY*9bb##EoR8>ttr()vpp`rV25F`I#ClkV5{9c(05o>5qnc83)Cf@^d~>l^S`w
zJQSdAF0*6iu`v?s_e8$L)MnU-3YcFa5#xtRQYE8_SmPu4QRB~(I8Gy<5~9w&IdzIi
za-w+Xk0h6vpTwFesgDRUpU_(gFePJ2r4gMe3vqpuFf7v$$4r2XV@XdehAr}T`co^$
zlKjSRCH0$2S>DVWFWNUeneAtKH_Y^`(^v_KS+HVp8$yZZw8G{|N3&5eWWoU(r~+$D
zEVLqywOG=v#5Yucge3DIh?pltY~HGFYQRj+nmRL~B5d8PPj7XaY>TlL52I-&fIBm2
zcmnMRQP$9=_a;sL3vI-}r;e0X-bO$~8)AFgpnspKI&Kg`1RTAla66jg3q-S`BibSQUX9DKT}Pj59S~7j#@D&j=^n`Mhx1xna8JlFsPW|82BRPFr;2
z8{hP1qqBSEo5MZ3^Y(t->B`4>GbqyOM@DO-?lJ
z!Q$EH4PRE27)Q93<(M|te9Sjp3AQUzMCSRX%fSR66vTe6VU>S1V0|1y-`_Bn~fE*ZK}vgw}PWyx)3&Qm|aO
zbMsB{_T5Xrbi?ZMMHW6f#^)B+CKrh*7UzyqH$u6&pUTy>mQS>B1F{Lwy1eD+^iq_$
zH$awLQgzzkUM%h|%g1)E4hioZlMXEV>Vkbx)8{TgGRp#HP5}7*Nts^k$nV8Iq^Fd0
zoGuH`NLDBH1l$Ej*`Vt@_}BibvV_N1W$`uE$*qonxdaQP;meE^+f5E+ByDLNH*M374>wkZycXaTIU9sdOa1
zReh`icL}aPr3(sc0wjF>e{T+ZhlmpH0B{O3v+tM&9Rp^P34aJf3Ln1z4EcFGC-*tK
z5Eq_}$!#`ypu_s7f;$2tY#B+0Wq#i6gjJEE-^P^k!Ykid2E`9n`c$Y#zB!=MetY<^
zpo0+3qVj0-#gsjh66wj2{-JvNpsZ*>IjmV>%
zA5BEQFxjZVo@(xexPIdDAa6B)J%xlYh?zM4-U>uWO#py5p#VC~g`wvjbOllJY;Sj#
zTLTgyx`DFGsK`r_owOEJsIox*?tGrOQvRMZP5Ox?
zlw6DCN}g~#W8p9h37@<%lOJ$^m}n<)Kfm1dyA?^&%Mz7FfErPy$=UDIDAqeq$Zgdw)*tEX3*)hEgzY4me#RdXy4Cym1=E{
zPjc+e3msjtWP#E{ZkI%K9#jw_el!Yp6bs^qL75yt$mzq4FJ^idrAZPmrx3@INQdtV
zNIKMBDFLG0wv>;7D-}su@^V{hwthQEKlckBWShPzVX+KX$J@
zM@~!H((=DeMpbQVZRBgXvXOCh`tYoKFjweV*{}AJ2O4nV?zUTFSI*TfUSPpZ!P|KT
zOskGTff4M^{DbKosv+ihFH6-TcUP@{wwd)iN~W4{mj;h788=oGT?eoZ0c;ngQ=m+B
zPGYjeA)3MtdI<*JAOTtZcY*-WzzYx%cJL(R6$qJg-P_&NUcSY4pqO2Dajda+mLvmq
z3iTI!Zd`-5Q2x5*CZ3n1=*5P#FU&J``rU-dbdr?TkOzdA&2nZ!xX6;Q#~mp=Y|Zv#obw%pcC`}*HC?bS(<+C%2<+U7yyWMu%WM^9&9z`
zm)5J^)PU~G6Xs>x(MgYp#&E(5xu`&14#~5Gb+87zTc3y(j)1Nsq
zkBg4M&aS3d@^`aa%YF13@g;?%R*!%Ypksw&$)XECULp4auyEDJyYDUGO?^98u79oc
ze}v9?eJ9eXAv8!m!p>$PR_Y@iwdu=$g);-@8>*x6!QuTQ+i9`?h;DzorDyA&7}73w
zm_S3z=zJHKKgE{ult&Z@ta13FXxNNW328avysVHq7P1b}DomX8IrMH-TU-jIl076l
zzFFw3IZu}zB&;EdzgxL%Mw5#5^hBg5AKdIDr
zZH{oMwx+gstdGW)lULtkzzOk2kotT2UdD&C*dbb}(2OB6*cvN89Dv
zExmLX>@qfq#|N_dBMGe{DQFLbcF>J|pk{|me~|cTU=^w2eZvcf8U+A1Ce*g^2G5!|
zj|^Ym*ZAY_z*X#kpb3UPMwb$Yh*XOVd`RW=fr`ndzw&{)teV8Ea)8!2!S*l}Z&-mg
z>I^DcI4S+QHmYMRNXISxXFz%sJ20z_nU_OFzCiOCL-ZO!AU5y~JcfDkVqJ$!85BJo
zE#?9MYisE}W9fz7H^?_rK}`_GzI~vn59WL5g)xaxbw5!bh*}CBz^fmLtU(O?yC4nz
zfUHfG=%WBBu*!i7Mhy^9&ZUrZE>M0%fbS34P8Wl^%HX?DtfomC+Fl&2hSC54rAWqg
zX68AmEQBCm3SB^8)H~o%^-@1uN{$;x-zsMtf#a73stJd(V?ahXT>Vt7!G%Z1R9<%z
zy(o*39t0`j5lVIpn9fZLM-P4~qG$$rpMi*DWC1|77r<^trn&5beeKv|aWE1ATA_iS
zbIy9IPDTbqK21p?p&Y>~>Yz0eh^^2|KFwk&A=2$Q2?ulZX6Fh*kvF4AO!oF&gqk-S
zCKB{pAmthi`zPfLH34NMg$j^I)o2$2WKd~b%8j4sQ%hGbTVnFm3?y?snl|}<566&W
zA)}_Vm<%iiVCiW|XKv>{NTvd_cFX6BL32^Db96cIo3O$&3{
zQYKg$0;HBBw#xVR(l#`UJ7sc>ax#9UR&t`l900(?4&}7UxWdog3;^!l5J?F)aq%<0
zmF}qXxtwbiw#dp46dAb$X`yk3P-m6Y+TE$=_hK%a-nuD$>6aB63EcS)BJ{EdddPMi
z<^%J`A#HK7puI|9l|8cYzA;-B#Y0}Dwv_+8{f2wxyQb{3snw$~Nj`F!98qcihIQKE
z$@gE?2oKi4{FGWeDm#(K5-+2AYpWT<)vz_!DtS~glLp)v;9A#+@;LWo7*>eEwUKWc}dV?()d2Fst>b7K%zb
z1Hb-e7&(vLY;IaW*|@XKIHxb;Xo^tz~G@7^xyXASJLe}DYfZHwE3z%xTytVUs{Od6S&egcd>>21t!V&G5Pr=aeE&bMJ)Hr
z>Jln+N*fi4hn&%^lhBouYB_5^DzRnyI0fDL={>Qy(iI(D`(5a&lV{Y$%2px~ni?u`
z%?j1K!M+&;J%>lR68yU#bduhm$=$$6KX{zGeLe2w8O6CaPWd_+wMTqo@fMnvmbVH@
zfAdB%p~Y6HrpP*8MbtfJkU0T@BS5m?fYEN{G3OS(QO8@>XRjYx8|Pi=zTneXFp1hq
zq6qnQ&(~U5UP*c)jIF4ESTigV6*7uTD1uI5V9#=wweAUHgc)QB?_N2tVGB+m*&DWRVRZz0e*^>W
zd|<7a%Fd;Z3g?2U(N0lunR~u{u1XJ8Ln=K?J>(8K?wUV;!b2S0_rUn$y&M~%ROZpo
zx19T)@Mtg8{~(KGD4zmslJ#V8yIZU)x(!>5Q!(K28UtI0It&gzXbWC@EFt7H8r0o<
zMQB{o2N8!yVi3SED$pJ^0vdohH71K)>KD`U=WU!`mVICE0aCWCpA-#HiD&Evfcm4-B91pVq
zOlyU&cO*cqy&+jI!9$gZb^x&bgt91sgopVtoF*iHFLI%cPyRu1Of4#{mGXPaHtKnx
zX6Ji2XLx5X=`+FSQE=Ms!ebQtA^<1zR+vpqG9XZACK#lNn!=+lteT7IkD7N7O?!yB
zSF3q@9&{8fhK494Wh{v_EvG1ziI^G*WK0X`FLN|yh*yDv3lO;-96briKqEr^prTmm
z2>OPe@@DtL1%p)J&4-a3P)Zkj8KN8osXv2qWmKc%Dzxv&xlAo9t}WXn7)h#JPum*H
zS}8lPj5-tYQb_}8n+ZuILvGd5a%xa6kx=`{Yo}*GLF_;hs^wq-Rmu)rOsgI!hIZD?
z?u3i|{Pt!yGey25*iqS@(K{RNxyUnH=@1E#BZIn=A$z}Ji3FN7Xh
zr>b}30Nmn(OT{%^kU;Xagk8i10@Pai$p}7!qwL54uQC1eoHzrz2nUv*zrdO=Dx40m
z9F4!(I)ChN;LUlr_jRg4x_4^%WTEa1=z$FSlMd==HVv48Uu#syM8S%-##6WTB32Q1
z$#KEn^;vH&jn<>fE9{j;E~0NSxL3k`x6xqTv1U^|XuKuvVlodua#&Tu%KB
zD`z502$1?vbVsFU!>WUP1k1i``%mC}`@d7KP6$=Jf950do^SS&&kV%s#1=gSsul^b
zdp~i*L9OlP$SoQE6YQ6RKKu!PwA!{$}}g-zR0iD^h*VkAC;r
z{^OmNtwKbaj_4m`TJwW7U#eS{*
z?oRX<6v=Sm%#kibzEIv6Zea5+Z{}mOI!p1&TOPI6z4~wL*+0I0`o^*jGPqOCEzCFD
zt#0-V_3?GJE}p&Jj+S7Hnq2C-NPtH~LR{=#izpw>YFeKz|DkPa*v9>HUGeAkCy9KX
zQ9HJ}Q%_-K+-S2$T!{e0rW6Vif5+0w=4kqPu6VY7dNT6uS?QvOo`JtBqLu>m0#Ju8
zKbNNGx4nj~R`u*>+yJ`=UW9kNKAiJMp8_~oc*K{4)t3ShsDMt$HKtceB*fmX4qzj!
z5~xrvF;b!3nlaT>MAuJX);ouSmA4u$w0~!oC2DXDBIvMTkt;22cnO57w7i9UXpsYA
zB8gg8c7lp(a<~-3FCOg9sOP2=QokBe6CNwy~#Kan8uL01;X<41Mj(qb`hI|5F6FH
zcJN6PF0GBmhxr&1-eA8^_lvZA1GyYw0DJXLBl)vu1e{9W3om_p`L@Z8N^cL=jSORb
zmOetzDYcdbDX&)JG!o(%lE`&yHj%HY$bAT}KX2KRyl}ooXV%MOr{#wYXGoenG6bzz
z^hS|oA_{+%Z1y(co3xOP9V$qr;sED|^ENCqmdP|Dv06q`q<9XkZ{{VUniY;Gt2-$0
zXEYKmc{41gs_R(g9LgJo<*9t!A)nf`ke97+Jdlv`(jcI8Z!}1CkDU6W3zd1xV;=+o
z6dDd9?XCDLGUt>8!}lHh3;f%0#}f&2FK)*?5=)!a$Vd!`$pCwm4{ED-9j>FEZ9cfBK52>
z3ryBo!69AYqQtN7I3hYEV*46lz-}V~*d-p~v{(@06h3z@ayZH~1d&(quK!QlOtOt$
ziE)ZnzM!hPft-(c0%roV*V*SvIhZM6<$UiVw4D8ZI)b<&&F~yU=m7Xpf}0OYr6NsI
z;O3YcepLDu>y%VRZSLQ*+N0SxWrB+hU){-UsLwnhLbAAMrHaEs9GnjEJ)uHo10IUQd11}vp5$jdJ}5Z0
ztFf<=Gg{IuCQDYBU&h3_R%+t#wgakF$0{PO+5t0hQ$gjc872y0hJRHg&EG690g$;(
z5@m@8z@y{^iis>|&NnAtxm&A^w+|sf=6#)lbKWf%*c4@{)14x9i=+C8aS&QFQs%i+
zHaCDu%2pL;;152=i5lA(E+PsQscNONrkjGt{OzV#Q)G#*^Tz@l2{n6};zn3FpXLnh
zVx{~kv=0p-$r{&*P>Mb-=zTY%z*MUld+CM)Cf~Qvp_U4@TGEj=ZuFbaVcpE45(D|U
z%2lFdAXR}DTs(hR)07zsN?)1IerpNFYj{K5Yh>Nt=xg6xMzxBDI^5WKOI_mU2@}Wq
z5Z|`-g^a0_C31dshh}*<@{-L?Wa){>lUf=L=G-Xo`^N6XBj(jueV6mGJ@{fB-&{8=
zn8X_2F&=Z6f#rYqcCS3;9Ut#D^25byH8I>lG&J`)Myk$7BUQP32Bg>3T}rc3Z5GG+VrnHb#I*W%IkS51QCD7^b$;QI
zcRlXB)jgC`znn4pB4I$adkAOJGW&oR(^{YZ$+*svSIrBOt~i2Y81DziyrH10)JC*2
z{5_P`&%|{+ByE1iw$4dM1rWa;z0i9JtGzrCm+D^siT1%`<-b0s!VYkFW5#8Zml3gV
zKWlp)I;KmF9+)KzTB@d<*$uSX`?sE{7wn(x+OzWU^onnZeYztSBG8K-3+8a3dp10I
zs7#z>Jjmbl^AuSt?UAXc#otbO_H>O?9E$2xm4Tdlf7M3D$K)>TVnG#FB9!xh$TR)a
zV}^?3kL}35rOntBOXB+H!dd>dBM1>q9gSIaVI&6_CYVa0Z+p6~cnUk(_XhjrF
z&Vt6}hL&xlP*5_8#_+my0w~mQyIN|1Ly2=rZwR5+6KeFw2X!9Zo5Rpf5!a`&@;r5A
z7p-Z8PAJtvzcc41ky?~AL&?0%OF4iT(R+?ssJtb&>gReg1sZNGb@S-UAE?N;Z1?hc
zAZHJnkL^phUIN?hLeHS-!@S97#**T!=(E94VC=3819@T>9RHh$+}H7S&p4F5FU2)Q
z@BOVW#VM^^Zp7U#vTVeLQhhmI7Czl&pHw_&Z;CR9V
zY66T+oGzb6@*1vAE>kVNGPE9wp9_WG&^8W;>E8{>?N>{8QV_3@;IdvpZcG?aEC!DK
zF5}&7uFs*bq2Pu?eQrH@8?)uo%lb^X;WG}s_?-uDh@(kI?;jt8>8&Qx69n0-N;=mz
z=+8Q-!8fV$Q`t$84}#zfn$11y%?!zxq+C10Ec|_eT8q>$frpI*nPL6b`LRWz)N`cq
zKl4U9#e_r~`aBZ6s5t&I9q!#ID_7lhEfq_usd#%E`J=@|O2;rIK|smgyyTB);C@BW
zM#hC-b0FIH2WSb__e%&2ROh@T-A!9GX*a2xPDnnwLf`~0f1}?Z
z_Xqh**
zr>7Yf1HTsdJ6k!q=U`MOG=QGsfqP0_sw)$MORQ3Ku&Gm1sHB=KCRX={h_o~wBuVd%
zok$gvM7XHaL6+q?cD+1*?I=rPTgxanEZo)`tmrMm>3__6>@amy5tcU|e>$?R|6|$S
z__qvpLW2GE?T4#REqqeeE1+&Ga@1YpL+X+kehkqegy>a}ZlFEGf~p#K;QFr}?o(_s
z>^iMWo@Fu3{MS<;US$YPT09x-
zI63Q*OGZa5qHcTxpO%9~2qd?I$ev5&o9gg$D0hHyd(!VEBZ&uqLugK%GHXcq0Gv*D
zrIjvKT*V4o8>QFD_{KEf{f)Nthf6|vo(R*|Nym>ERKgM>W^y2v(()oqe6ftW$gS}oG$G~m864Y1Ss~nRf?UkGCWV>C-o)kCE@0A
zuAW-N8~W}#0e&lQW!y!3*&tA(HoMmry2x0@rJM!G#Sg*ZI3&P&MVO(rLjm~%@x!LS
zTqBBbWo_q~$kjxC5q&H2v)U-?JXp)}HRo$Z>1hQw+C#X(g8oRdf@9R+E@T>2q`gRHvbS=RnW@lSY*{DWTU
zmg6Qsmtj$7b?RG`;o27Y3z5S#xgymd>Z#pQ3LaFD?-er;F0`gKRuQb;Iva;CajVo|CKn|B*o;_YxlY@D=#_w+a6Sa^Q>SDD|z{hGM@R
zV}p*K&}>wgbeF;A{b4m$AJ>vKRqiyPJw!>cr!rvFUGOP<5`_VEKS=JUL+x?MQ@b>9
zRpzi6D6FL2#n<_G%o=09a}vhWpE~-@>_So_8R>kh(2mOSG%~|t@z@RfmbBT2aF*Q2
zm(SlS?E{WcSg(#Zh9Dl_rf5@<_s~Ej^gaU`0l+ADumql_S}IBz>!je)`rUG7U!rM^
zAbdx*+hsJBARO7qMRcc2T@I!cN*(gPg@b2jvrr&O6i9yW6a_``Xdx?Q=K1_Fpn}eo
zLQ)T2Im?evSG9w&gwr=QA@F@8xjEW7)16nI0aqy?5f~sv20hdqa{$OSevT)97Z73Z
z^EEX;{G89Ny=8g}%SDIR{BpAcAZ1LJ10t)6WBQC6{2AglhWvs+Cio3($&czX~MVP9GU6+oWkcn
zIh+&v_9Kmx-~kZ6v&+$u3FO#*bq;~4M!7HGsP-RkWE0=G&L7AFr@`%5aIy0fTG9LQVGrpezUrau|Oe_}teLJ4N%l9k*U!pKz
z!9kGPp_Pg+@TT`B4q0hkt{$yPR})SN)g0e5hdBhAD7-61UOPuWZTauli_duNoTq(z
z^qB%YK*tA8li7|6nuCR{nCqUA)=_2%iK5&@Pg|v>0R(q>FIW2wALGJqvOGT;w
zF|aO_;h^FzA@mA%9f?qdtB;@K}g({_Gwu7
zmaG{)$bO9gN@V9#J^yB>yUFI^&l?v>PtQprfU%>|A`&rgQXiF%TD{Jtd$4Mw
z(mwhDWAtr84;(E**G_IuyepL8)w2QMKIFqhK1-UC9^ZU7wtf4#(8$@<6;1c
znkwdjQyIZo5d2o$K3wW><1yGMgP{pa-n3%^cOZGms5mUIYs>qMo3_H1LDH6o{A3-O
zBLB-t(tt{`3)F=_pistD;Iz)I8!d}9=xD~sKnm8OdMQT;z%Dol=`RuC;<|H9a)O>B
zBnuf}CD&5ehVa}i%3g^*hd2G}k@7ZHmIuubS`U;tt?_+9n&dzv0k!^QJcw5P>hi;I
zx8P$QHqK`YAGkPYT7A6q;5EYjE`U0Mn9_sG&X51t*PIXhQ@3yZ3wDA$Y)6dPi-=KnPc}e>^>05q>~d*fe%-9VA#d!!T7b~&-&hy5
zo10s;m6v|j=0n8(sLeEgM~c{VwIP5h8&PYe95J625--3IZ#D->o6iZlmh6qj$8g
z+BYJ9uIhb;(OimC9!;Lkbr}@wa~e7?pB3vjb_YF*6$)1|6~D)lX4!-|sf@@KU*sly
za|GswkNLR8$-BF9<|5FjObY+DYscGTf#xRpjrBciQsQif?H~J$4!u85=X|;L7_;_t
zQ@-BXYxFE8MV&z6sR0wjSgY*%l(lHLd2Z?G)*H020dB{cL6KLbIrJkGp{S5nshykL
z(R)&!P0HFOOjG7gPEy?8ZgK9zp@$FsY66@|Dw>Q^vgpm+7{duQfq^<4RLX*gYwa9>aH$L`mPkoj
zqTdL`nwcC@WX>55oDzw*d*a;uRX!fOYLlYHdua4;FF{uaZ04qQ=R=!fdO{IG-~bN?
z?2OTuIv{Gei!c?Z+_VQTlg%Emr^rR;X6xm=cd$9uA^3_%Bht%RaY%kTjPF#oXp>BB
zZspV@B3jzJaMJ4mn2Gz>n(Mzgh^g?tb&?cpcQ=M{p)twc
z%@D37JnQ=AL9Lt1uhUvde-WCo>ramQF79WNE#v_F4GFu4NHvS&z!sB4hg%lW|Hwa)
zfun
z9k~BV&zD(swp_Rp8sE`Sm*F3IQi0VQMi&S9RCNWl(SKs!$qy|rFo5)-4+)khslzw7
z3|04(wYpzQzxq_)F?iAXd8Hr@eG_P6N-8N_A_Pw7rM!IRpkQrKjBLCxx5(dz=jnvlTF0+G
zI}NX%KzK02iuO=*B^j8?6dNk8G!VaG*Pu^vJ(*L369Kt!(hL>*u6T{d#HxD8d->d@
z3CM^)umgBH68ij_Q9(bz*qW99#nin=GyTVZ0RL=eZo_WI+}ehj`&<%2+syrbEB6eQ
zdv2AazT4d9l6#3L*GLE(yipsU{RgF~AO;S;P^V{#A-}(Ld`E%!UKIiQHdOu&!
z$ClQy!nMMDsnA`@H_t)N#OhxBZQovcl&AZZX+JgLu0_VeFO#zM1WJ{{IGA)aNxOv2
zgN0IVsJ;I7*=tRZqlTl(UYN^J@^IxyuL>kj(|loX+R7K#ABdfJa>HH|K;TC`yTnY_
zPaeH$sdl~bvg$UwDe=~Mi}58CPoQtxVM!vBsFHDhgPh&V`62KIu~>(l4EMoEdeOj9
zR4f-P3oMQLd|3)_|FOPU<@IPs9rHZzMe^lAt(!8wXzf8_-`*H@VPvtI;?RURp+Ym;
z*oAxaWTv78E4hHGe3ra!NYQvzd;`+M?^!U;^kTCf0r$?VOnm&=D+!2=+
zceMD?;)D1fkx5)oNlNOn^{9C})t@J3TE1UYiHpfc+|50hu!6lO5Rp~bidww~Q5%5*
zsH$dhpKIx|X>(lY8Nox$lYx(iH6OZ0|M8?$XwB)(&*;~)3IkVhOB}}#g*9+Vc9A?_
zXqF}gz7GnWTaup!0CJy-wEIx6);atOyS{{)G8A7z3C=?7Xxkiq)Bh)X+j{S+&CxIV
zolA&OFNp|FM71%FTCd2k0IV4~dJyX*&Jnwj8W3~j%Mkl~l$3HTBR}1)PV553{L#%$
z7LvodE_c%Zovp!t@4fFIeM{pbOzI`nDat1q!Vx;@6Cxa_Rp4^$42%*p_B1l|y~QH!
zEgwo8HsQmx#WPg1Z{<)YmgvY&?B5Axa5gdMfRq8JsZ(W&kvm9+m>y
zUQu~OepMxSaZ!5m!h#kKVLc4T)P3y%l{N0T|C(bF6WCH6qIAfk8@iQ3a|*X|+2A7>
zpMpyjx^9soKo9VVF$RhS;GCxf6(rCzELkN3s88!JvUNuJnrPa`d8%$L7~p_4(}jK3
zESXe5jt&x;wYQz{^i{whP3sZeC2FO%f&DYNsZ8-yW>X|v4>G9eaX^_VgJb3!L~z-$gY#6ECAE{!So?002k4VWnqi+
zsk5xZk9pEe0Kp0Nt)|YzQdj68<+n05wuC)IQQwq?C=N@eb53fJg4zURQ<*XaOl$&8
zV~Zv3|15wElI__6h!D1F0Ts2*#Pm>;BH4!IK?5@o6&fOC#+B}Iz4hm1$m%Gr+(mK4
z_hlAKc@C_5qh;AARvL2$^a8hcu)_jW|F%JPhm%3x4=?!>By|2gt-_E
z%QwEpe5C1R=4-@XG$KvpzKO?``iUbZ9$&$kl-
zb!NqAGH4edLXH;x;9$eTFq18?A&h2m4<>(sisv+$2-q62lo|SCZM`tpw{Ok`%^=pA
zoCQN#71-s}OyW3Ga+PV6^$60v<7O|E
zewpC?X*AhbZp>yKKKJYhV$dI%;s1+1(;`60V;fYsDnIbj7q^5B}WVMeVAYE%|Zx$knMlHmF
zH2@}oLp&A#LVATooG8~Vp!Js@id78?sHX@KS|lBGb%~)o1hOqqTJH=_AV#vIvsizd
z>KIP9{Hnsp6Ni$9lu2y6SU|+(FesLr%{Uul3q=hzM4l&QhiL%oG+l=|692GC!isj}
zqJK75N@00$2((p0hX;Fu($M2tB&6cI3nr0)R;zwJSsOh&czP%g1^_zc=U)d&>yER;
ztMQ;%rsRNwE@UwE{qRVqC^e-zjYdBeorzLl6JOB!Ynyl=iV48A`^DeoLWO726=$;I
zeeL8Oc-5ONlD4lNFDm-{Ar&K+-mxS~z&_xt%C1gUAcrNMfu
ze$Jxu%7$SQ)dwYXPDwrK@mt~MMjT=f*aG!#-P_Cevn
z^`*j0@u)hCj{T~nLnXSwbR>cV1w25iezf6_!@puHG-@Y)jZt5MTjKelJ)<
zylzPM86R+aR*7l0FguA_1f;>hPE9q;>C%iD?+WGWGzq29!Xla}pY72kRL7i>p-IhA
zL~T9MwEzwxoFjo10Wgy6t$sSlzkEpYE-d_yj`PIRjDE?eQD~QH8{xCtq-snRXF3IR
z&Z`CF96zKV%2!y~HBWc$p=2tVfxi1qn4kwQnYq~xH3(z(+0jF3(U9V{3unPNx-w`H
z%0qZS?9AGy-?~jb!PY6Zn;F)7{gIsjqDulMUi{6xnv^**J59dDa*rQ+1_nm#vK6^J
zBB#lot_iqI+}h1+qU{I~XclG>kX_{o_2dUHu4?RdQwqs^zxwPXI)2`D*mUEQk3_qd
zvi438<|DYgYu5Hb)KJyo9N1g&jT&X3STCZ*K^I_}DrA)JejJMhU$q_i;zpXe$5lv&
z5vQ`Y%)DP*I#7Sf`zvlWcIA`%N4-yd$ePOQueRFk|NI*}DwLO}c_l+6VDLm_rqWjF
zTwh(&HdUEiV-oAnjm_Kz&*X4)wqwUb20+30xX=~ILDzo=d5pccuG^1}wJV4IvRnRD
zh=L~jmX>A(x9ZWW!S5DdrNrIQ6
zwe00HK?uK{W!X$>{EJ{)7jJ6+3(d2V+f&)0yP@sJ$PT9yyp#p#=h?-d;=M_V_7m)9
zGSK;f1p6(vDg?|}xvuv0x;~h46G{dk874#7*ew>)a9-x!Yh@f&nOU-SevHw7zA0Ds
zLmSS1fB_Y${@Tlhcd0%3jFE49r5h982)A$3R59^tZBn$S+q8#W`O8nV>b;~m
z-buyUeEUVk_k=_!)F0kWon7N8k5d&p-A4RIw*0c24?hk-=NRPwTU<=$-7KUotVx&VY5=an9EA(Z7Qr?V*JSVzkden$v2hrBMdOQ<(&G_yWdjT}i2
zpT~PCLRiC*bhX49k_c00m8H9S1m`iP#A%XN`XaS=LSM>JS!f-jZ45`L%3Eqme%Odc
zIphFO<|h}uVzjG=71L|y=g<00XDRj!%aN#o1H0nXlT~atZSE`oBIpuh=+%1d^BNDx
zAm*dGSQN!erh;rZ3MMY{^~@$T=V-B^>MF1@gYQga7Efu0s5^YoqFJN-_sF1@}d
z=m+=9t$OmHE+8>RjWw07#DSwM*>l2Upn$b98LA327_6#V?446m?^99mQiZ&fDp!-;
z3Xi~Peb>(sZov;P0&v}+2o7)m$OjB9Q=`1s*pDw&4(KHz(IU2>LqDV?w2z29K2r9x
zvOi*>>!^d_jdKpGO_{v3i3Z6?R!6|0eWFf%=f>@GZWK&`@k61rrmWFwSJ?rIsteCb
zo=o-dd|fSQ@?jxX0r-k-l3%ld`jBREqM7|*P&NeMV@%bI_g{Xf%sPHjL^>~d=tu=r
ztSoc4eb=drxr!VQ(QcknaeJ5JXC-E%JqoPncO>?*Mv2W1>Uo$HQ0=NZr0M#GC4ENs
z&n$tSepxQ4swwQF#ug|hGui9|HS379_bFuswPf`ZiFwag@^17S-?$n3@iTd^L$`)|
zZBWf2PXm!z1AExCf6_L!2VfL|)Q8!+vHpyV#r?f?TO5#5{{gBvxSl%13|PB(Z}nJ6
zYn{@KxCqgUmrwqxa`HWR<6neHoI+H~%FWkvsV%9#&D2bTP&5BWBp{R~yJdbH4+`D^
zZ#xbuck+5!l|lbq+Uf=EQa<*v2BgHHJ}Y^15llgG9877?Id>)|k}P_^$eQlat=?Oh
zDbyu}De<8nl(QN@0smsWdQ*jqDg_yQ(*0L%CP-FzG4N4cQZs(}wpP>Nd$JsxC
zb+pmtG3ZMa-=ODCkohoi287UkN;9&Hn@xFPHzK!+=_rOyJ^C|lp8WVr
zkbK(gzo%C!UdVs5zt_qX&WT}*lw=%GAGgyx2NQl*qcpe`-DCVs`Ue-fp7R#yg&0_$
zLw!SrqIG#jt~qF3L!UobfAxFIIb}X3XXdE~xfksQA5aVL^Dc4VN~gd?(&zcloVkRp
zuS9n74A0;X?Hl`Ao!S>?KTXLp!(oTXfMK4(3{PPb08K1^k%eDH`+c^rcW>PORkZdr
z>(Q~ty!~l8;);hJgDJT62G_?R3U?Acrodz;%m5zZ01PmNJ*7k7hZ(l{fF+3OJNdB0
zIQTXvce>$0xxA7o2VVAOTpqv~{IAh^*!AL`7~*8^|1(-WFFK|JB(I@J?`HQpyC&>g
z7lqwN&|a2h&>e2o?&G?keiLz~s#Q`k8NXpOPBTnc){T7&kCAVay2JEr7;*adqLMs2
zpg&upOx^%pkFMKr##}9`vp!jxsTDC+VR+=3W%9ejPcKuyEmo};C>RDTk5?Mo$`W1r
z_-i0?vvg@D(0LC;p19BxCM1wb#07nP9a^AX`E;WMb5O~$1)lsoG4g{{nS)zW&8ZV#
zUY*(x-KT2lJ1uq5#nUY7nC*@9ke8y&A$OJhSi*6}+(@fp$8Dk04*zZ9MN+dh0^@FF
znQV&!`y)WyLU-#W2-9rMLoHwT-bB&BSl&d`9a%@+$sv@d%OsI3+@cZ#ej%d@wEAiX
z?e-+>q}b>Jq;gvs;GP3X-xV!srs$1Qor>WyMysQVvdUi?GYZ^~dpls9%e7Xv4Si
z@wMZhKz_`x1Ib~wa$XJ6+YuWAC`YYu&Qo1dCIKG^tc%E3S=yGK)oojyc&%+25eCa@
z1i~e>T2ZZe*K>baxKupU-)kKB*e=%kSyu<$AJZ
z0*a)|A(TQZ^sP6gItE@5c=w~&MycZ9V-k(}O5oarwmS*4A2dgPD8@F7y8OG@ZBy`l
z6aDHb(uPEWO!c8dfX!m6>DQ
z5y?loU$93Bw}zQewSz9_>#vCD7qg@XU{Q+5oGlG?={r-t9l!+4!b}9i+M6X58A024
zJ!R3hhx+1(tk-7ny^-NdQVazfkzWx9P6?OsrUYVH3gL=jS1}W~{d$y4$*A)6%+Oe{
zxWwVlS%lJD@F4|TEw?V>M(!|8pK-soCQQB|G+Qt4Yc3{;h9_3%Vy57tc_j5T@^-G0
z_xYMHo+X7|Cuu52k7b8{B`Sm^+6f{JC4+<+p5f6UjXtJ?aGelcF1}O2#(>4yqEvik
zjJV5>zMCR$(4v}xyoizK=ue3c3~^tJJxop#l}1GKl`U;?l^`HAoiAe*$yZn={jkl|*HgW@6z_4ab)pgIk+hwM47iA5S~s%%#G(edgnbXQj4-Ye>l61;9*
zISgMe>IsFCWAXXsGgPU=TReE5Kq9^}3;uc;1srF|0}(v^e$e2)#6daXU{jJ|_Qu6@
z=;>+VjLV6hw>Ekrk31A@t6s7iJT^t_FJ;}J+ua_*u_hl_%+zT|b21J@_hexjr3^2V
z2EUS#m$R#>M;)C8*FV;Z8ItStEC)k1+)sKMCZg(XcRQ`^bV@MI7h-IRx)_RW2_uHoSjMHsGm#fT%=B>Jh+biK^U@a
zL;F6!Ha#1vqef|`j_;|i_Ynoq-r{-@NzfM@79j}hLR;_{ti4dwDivj8n>Pt_ox#h5
z3EYKb?6r1ML=a$Rn-oA13y6f>0TePGL|@y{G!lkYWAID+m>%$2-LfkC4o
zjgn=KpA)ecxcNb5r{umr%qD)UETSK{O_>i=8mScpwrIr4R4V$}ME19|1Nh3$jDr#5
zk1k(uKk_zCM0qX2R!u@!){k%B=EF&v{WN^D*)XZ}hSo>$6=VQhWY;EHToVW#JA5)j
zfy>R_198Gf6u8@5gD=(krCwDa9t@Y8dRrawfS~$W!bVI<5t%%rY4Tm)5Mv~1+ZQH(
zCz1zUe2~d@v8epzN^dcEUp4>3+nl&Fi
z%cdMHd%
zOkPaw||v4@2zt!w+JLFi5F(J@+%_;{~73Zpf8
zZoSw9xIo=Fy)ZP{zfo+^2~v-1eCcdi_Vt3obHa@7=jWdLesmtx+&6RMm&-t9<(*Z$
z6{Ze_9i>Q0MzLXslMxvVm2gR9bUEz)gCS_Ix^K_j%LeV
zsAU7Kd+A62^O#84nK)|MS+Dn_UOJTt3TZr$S|Bzebg6i9@pba)br}|<8&8}^*a=6X
z!+HSjRtE`uborgamronD1#69N=rCDgmX50K5dep(=gIrIm_A#*{P+ELRkb>|^|TpX
z(Mh=GqmI3AWi_2(#w5OoB~$!Y))hA$8S==zv^q>WIqVFX=wh>#@>c&PnOHb%eTM3+
zyX=(0**I^2I==KGy6*lebB3~nMT4%0w-p$HfT`6`beIMIsFXhp&}E5r@O>4Z5QjYe
zQo=;_z?kU-%p@J-pK!A+6y$`HiEKTXEhc|{1Z&3%w4~`Ym%+l0UxA(`_=LtlBZg%5LqdPOSWm)mI!j?wAbxoD>|z%&w4N9h_TiZa
z@i_mTBNR-rN@BjdTrY$b(
z@G$GxIR0B*n#!Kf--1LI+d`oMO!$f&!iA%3!1ukt6cgg9LZ``-0t>2#@A!Ag9inwB
zH(0D164N(GeXq&?BpJ4gz^FDb;c{E~7t0{F0-(15gB}s&OVJA9aE7pF4MFde?#mZs
z);k>rdqxmoCP*N@PT~ny(lk^u%pMOJl<_bmx=2bCgo<#Mlp7duVM)S&M#RzlTvN3W
zaz3%#8{dX&RWP=A*dTqGHt>TW!(ocMyf#hq#D_&K5KE<9qNUNr53Ro$>rrL9pN8|h
zbqomNdTQqN6lo3xVj3!?&EB{0f#CB^I+ZIDjaTF_L<%(sK4o|(@}0bCxx{WF`o83x=OyRTQ4z%)Bb)%O@0~GiZ|KmMP4=n!TY5gO=ipt(MACf
z9o;38SWmHCU&7C%<9Ol?O4?u0?BHKrq$!vz_vIGR=tx2GymL6v46EsJtTZ8!eU4;bC)R^h&}^0dPISk}JU0oS!0l!K=J%h;PDXZB-`sKpF(;mkRJLpuoLnb`@DysD7{j>r2Nii&$AhM#W6YoJrk3
zTbs-cP4yc0d2wwcnsB(1dCtp=SgO|i$91>WA=P*9`O;@-wrnRts1I!s4
zJdu?)Ly=Hrf;^T1Qvo1OfdoK|2?duWr!7={VmyBu4)hTwSi?f8Q+V6L?LwCrcm`zX
zh(yRj#Zf-5kr5d|hwut)s*)}bLp*e1nINIpNL1`4C`QR{s;3#?XCjuxR}R7Et`a_m
zd-pyPk*O8sK9`8EO+FfGp=jfuOCxtRr+D8y?e7p6r#Io_EEN!;C^jVntqTOC5ST`c
z5y-ImkD3xCPr2q*Q3d6=SK_
zO3CjgM3irYS)G4NfK$iPLWRthO?gsccUbD;9+4NF1%_`t>-=y!4f7E2vec
z?Q>HgLCUh`xAr2B8J~f81y3`dhy*ko!@msWiZf)P9}kLwCJwWuBxLTzyAtybn^HDa
z{u2SNFdxR=Ao#S3MwZFE%&xFp%6Qa;27yFVZ1k_@E%LeHNVc}cid6kusqFBjh17GN
z(9_fg>9r3S$?c;{s0<`OC}H{;z>pX0A=Wd{ILhQ76aA4;pO@d}*A@0W>XA9Z|BU7*
z?vUzAC@dYNFNB06`=8rO-)E*PZqhf|Wj|_?ZWR$6(=XkaRuyo)xHwQ6C>AdFpPGsN4In-MUhRiDf
z+u-4#Txi3=SqkjRBaRO34D;HW;!J&sg>*h@fM2U22cAgVuCNh6xd;@vPC@{H5nGbz
zr4qLfQbW=Td5rV=ODOR=IYk9P5(K=;ZkBU_ltFrWC^GcUQeE0`yx!TJvb5_Jz5`pe
z_lbV^{s~A3U~zNG^ib;W<1N@Bx
z5C<#Nh<+cbRm#5Z``fsMZPpVC%bS#U@a&xQ6<(+9A6vH7UEVVzFpH+j0@rT`jjgO^
z$Impt(X<=8FUpt#;sbn?4%^oo<%u@Sb2-}UoOznD+ESFJZK+O35r~e5N&bn0yM#)G
zFlBpMW8(-49T5_RL|Un>m@0Dsgu{LpNK8vUGf}b+03btv)Ldv*F-7>7DD8hl3?Q`>jmN-0`Z+8%FTE}%A5N4KrQ0)plRMY
zFKzb24V>&^sMOY}yz5QU>uSoM?l7O>^u}+7wQKP;7Wekp;5#lBww@w!nL2Qh&XjW5
zf#qA*O{BLdnEJEfkxR$~aWf2m-@=!w07-7>*jn5ES#VMotNH;!v4;RY)3WHFs
zLK)OYkId0wGKaV8+-{COpLD30z4P))&|TZ!Rf_BgZhK*QfL!*aGhYWbM^J{y#B2F{
zA2f(xLM!KncjSMGjX?*sue`*mgKGUBi8Eo1aiF`iR#C?!KKo~cNuRfAj#(Z^Nh#C=
z%e!R%Ug2w+*kMfG%0`7b>0+tHFA{@J&o`7E*;%fSMWo@u4tN=VvSl!QNFeay)*+PM4+)3JO>wN4-U
zRD2*t@~JmZl2qk7YEZn2CE*dZWub!lMWFWm4`RwGo_A>jwqTn;MoH9u8{gHuY(+)%
zrzBw5%2zEKI=SW2|B_KocWlnAJ+!;7!>&lJlKC;B+uu%D=E`;qQQ3G*p(rVhH;k@N
zs0a4R@v*sF`Ho|+TT=6+(Zx|Ub1(LJe!SpX-QYPfW9IvSkVG0`+(prAQ?lOM>jnD6x
zslGQ;eErmS=a>7t0g4Bn-z4AR+iZnj&|7}rLDa=;6Vh;)FgzlkM?C|fg;DR<;AE=>
zDDcGi@fGAcW#?g}3_vTpY}o-Qq|9DBpktc>Jv1f4m{&93_(`czb&E!Y!q=`
z8})xit2FWC&b-kTq0t(%Fpz89{G`V6)UQ7hCM^@j(AU5!y1n9h?kem|{mdg=U0Gf%
zXw@^x^`R9&2Ent|4mkQ>gq<5O>8fzFif!(nw-Mvk_5-1=J=e}-RIHPqwK?7p9>vO{
z>KnI{pe|t~22A@i!DM5I;I8d_ufY7q+sD;=PyN-s##`h}sJ;N!i+{-p5fBqIa5MqdaW_+?j;RppWC3i5QMD(s5d2IWMOPhg5dQC%9Ymm4rD7px5WT0-ejgI
zaImoi$^ufS7MzryKmnoK`qkFatJt(e#e0?UKsme`Ve3Hsn~HQ{$~Z;VWvf=r;~L;L
zWu#e;<-GEai9``PG0s!Kg35V&q0hR~o2mQL6Niffdsn3NprWiH1mMS@pRGS1S&Tio
z*vW$$EDDj9t~NlQ*AfC$5lsMg!U^Myw1=e;Od;}>E8=LD!WKyQ0@J^~OP
zO;+gl6~c?lqo(R;5=!I~?bI&FgR9ibPgZhE|8|!@gj%S}+uzc>YB{Ntq;M?$cr-A6
z^s(uy0^_3nwY$pSf#&DbYaq&R$$caMp9qCj7``|NCrQp!z
zamPCVPBATX2rG(&ZnJx+$6bB$TZLKMQ5>tF)bmXFMfLnLpeJD`O%<4!++9{Lz&q<6
zBZEeoL)%nPk4c}X5_)>6p`z%K^XME*vp+Aye!qifCHkP{zSPYrclW!wP;8FZa(A|3
zJr-yQkkY8?OA?my7Vw^xJVIJduHF+4l>*xPr<`p5VGF))f0GmFe6mPFFf
z+2uEL6S8zN6+~rIL;K668V7qR6-VU=qaw@0!MY?r-bHdHmdrx*_BWtsPSW+rb6!~%C7ipt;P*g5*#Xlvr~vyU-cC2vfZ
zddIrygJNKtUS2tEb!@_!bsPL6K@J>CM-7XQ5WB@6IyiOP{{!I`t8bXz1_UULNjByJ
z0I0*Fkbnn7L}Cd9nc!i21j|l#&81_m?dnr4xi>;;<-XwXG)>UR2Vok`h{J^?a59u{
z`?>(=?!CmNH|m!q9!I`aXKAoPFdTtP>;Izj-FX^YI5D>Z2T$S>3x%mD4H%s`OD}ul
zXvEL}IJQ}-uP-^89vCW3!MmJ|%xaw=Jk3o7`!|mceX*=%lj&6Hn>OIfg`wGWz8xZ@
zmgAo)uSVBNtcad
zCvfdlp6pEMKrT64@gQiV_q-S0?8+5PiozhY-s3tFUnGfbZ}pv?&MFyDmvDFB7d;EN
z%HX^`c|;t%M)cB?s#I6-|L}?)L4mp_ymtXYH7BDH(i!K}FVpYn06n-2n$UYc7@!Um
zWZWq)ASr0PFVr!8C+VL?ks_Z9FiH2U(_d^>Bi2n_&jS`}nLk2o=hl4P|HXD1#e4XV
zwo*-h4a{ZdR>*5V%&Jc*WdmGo04GAxLGCenbhhGd8!xhpSP&$GzSTV_
zEm>w$Uf|)_G1{T0Y1FtYHB`h+e4eyvmPhHqN&o&cT0K|RbzxD@`uxf32TmKk+Fm#@
zT5@$9McfEyG%ZPAw(vs8rr>Fj8Q2RRWW27Sn3j;?v{M*&{BfaljNhG9b6N^#XID}d
z`t)3ZFG8+7A+x4~o*G)rmPug(5K95*aW9iTC$QXCQ`eBSp?%<=@!3n_^J3Pi1|>}o
zRCjHO+n2fJ?nM4NbqAI`VQ@5cP`P;heeO8R`#cwddn<&x*F!Tk>asM}J<81YKdFJ5
zi{ks3kodcd-Ll3Ko`=4wADCdn=L{t*{AuFhlt~#In^%f_AX~?QC4n8Uz3f1{b{_uA
zIMAxQ1fkbb9Vvp35raJ@1P4nMk)z}I`XJ;4<+j>
zAO}Am5bao=guD}^A9cDnC=mo_6EopileUgN+_p0J$mM=7>=61Tla?`FaOkK-p<}J&
zt}!5Vkz}anwi*+^c5d$r=t*$l${$t5-gY}2)qVe`S}{$tI#D-no=AKxg#1w~l55o_Jir%)7iaLbkGBf)^r9^g{@2?>D
zT_N{ONOjZ(_Hb#teeIzLX$dp)q0r-jdk~yXG4BbmH(cD?P_7oTYfp|^)=gByY!cQ1
zb?WB{yq|ICFpi5nZ3o?D(oJ2Mga&(vdI8WcL?;I(B!HzdM-6U$qY&2sIl{M%_B7G(
z6fQ_+0u-OWHqHw;siH&htp-M&h|1Mw24p|#dR^X=I`RHxkTEB0WNC+0%ga`dL^)ze
zO--o6!#Sp?hye#uF}{G|OX@l&`ZRfO5!Dq{;ulaBT-lJOnP_?-99a=+5y{vmVoV?Q
zm4YGiw3ehK`gKW5azULUN&*lLAuNq!_pPGRIc&?NY{R7_Jy!nRRO2TtFYLurYBdAN;zyUDy}gcH%)al_l9dWF&?SkC2?z_2d|Dg$$@@TXDw0Fd
zi04986Gerf`9_#~st5pVqk?_0U$?Nq$BMQ_slUVze)TO|?kn4$nYZ9)jy06b;9|np
z!Qu&k(uB=IugW#NBySS-Ct0%HQ0yWX1|&$#C@}bMcIUpD_vZF0!nceAJFYWgx_Q$EX7y-z#SjV^6
z`Ei{V&>3^I6Izcu1^p^jy&=(&Amv$yX~0!x7E4qD;tt&CX)mSt3B`SIa+9aR?F?J)
zT;=f#k(G#4Afd*@ur>>$7j`qBSjs_>H)Z8R)8I`?&Jtk{Fq0*xFS|Gy1^fU
z!lcy9W3BiXpgz7xP@1SJ7q~?er6V*&%8^GVME@c95e>DE9Z&W5#GBg@uJ1;Kg+d~t
z)F#Xw&8ixTQ&`GAO-ZF^4g$!7oiRta5DfFE&jd94n`Lyr*C|2qKVix@CA7!BnbEc^
zsbK8kFnA)b8r2nU?R6!5A%DtT_xlA~25{;~CnT^n413!kN(U#r?tfOgBarqubt;pU^k#ArileEA1tLWUI
zy*8rB1cY>e*Ivu9zt69X$F}!5wOdi6rUR@b8lk}gk&V6r4Nomp2~@+&QI~N>6A%4|
z56N*NX}`;!(?+F}u!RBbrd8LTZnl%UOhdI%z7a@|b@qAn3mf<{3O?t1UZ+G1>S?lQ
zD7V?XD}>3C(c_Xc3I*NiahGJ`nOx;gXhV?&b19C;@Tm0c(S=ODrDBT1XQuPb_3ti
z)AGGmFV`wN!8=Z4$4b(o_vR1O9mXWln{f*txh
zlIegrB4y?zb=~=2Uyndk$oI-brDUPh)YRJhda}T(E9R1Cm)l;17NNf+rr{%~^XVaE
zhM}cR7gqOmQ8qvFqSmcC9oM<=R-hQChsEAdMDNJyp3=O1eXnC8+v><(cK{Ge@VF&D
z*4H_9N13i&DWQE=XJ9bKxcizRiDmUyTesDDp#D_EshDdcc>^E&lcWC~c>Y`M&c#j-
zU_e;UABwxHSJ^t}d@qOJlQPzQ3=liOE!0lEGVKp3CEkDYfl3D5wfgt2xl>Mp^Zg8)
ze(Q_(w?C+fec0)*?z;cy-}|hFyNQ9~4mhr97+bmu3sJ`YMD|M*@a`MkA${e-gYqjq
z1Ei{XYPzn~oSN+JT4VvXNh9ZsGv6THmN&V7Nyo8qxYlj#2DxpJAI2|Q!v@Xv&_ES?
zU54(5!Teu0Ekxa=e&t;R-Trx}N8fYETiNVDvG1cX>@L{w9X}p`iwbidW>g#a_YP4!
z^H-fop}He6mb!ie*t26JR(FQYdA*4RHx#!9)>+)+Z87hO=Ktw%0@9ws@D^V2==
zuMYk68q=8^(?mSR1U~*Y$@|8OSNFUz9(1rtBccj%a5UEU08=!#>h3|ERO-jaKjb1x
zmy*ii?8Z8U%J+`ij^np?v|F1WSFX@-&J9iN(hojUN}ZBePR(|*q);|QjD
zD3h?Khvpv#|9O_6a?48VdYCl&_oH9y!}9?O4(RL0L@^gX7fn(2haKSxnn*
zN%Sr~6ygrDtJmhOispWgt9o4!?{Za@|6Tx{3l|Kh=Vhi^a2t`r{%021AQNQ{prbz9ocq?(E9xF$>WE6FCrUkm&p27K=5no
zOQgo$@!Kw4vEpTMXOVTMBgoB3?m8<6njILe691ti-|m6
zH&XJ=Y}D^J`_a!Zzn6^@ixN&2Mdd!g#&EaJzLm&Z$+)(X^zyAfYoZKPKv7=RUb-E5
z=B;)2s&P~q>hHT{U7mjWQsTXL7SZpY|GVOH2b^tdOMg$Sd-oNwRvN=DZjY~i
zvV+a2?kX>Qb24PDAztktmFLfYg`a-%+M?#YdF+SMlGUDg(*3_HwV$x}&Kk20)acw>
z`RsY+xZ6j=u70D*RsKD-<}>rPb+3sf@72e8HTu1!+W(z%TDlSciMzaJY`A(;@%>ED
z=tSnnc$F7A6{xQ6HIUa6T%}w5q(#b8-;?LxkZ(kJN
zh+SShVt&)m5m`9U;Qn&q``q^7%1`B2e#ZRXvd!Ks`;!0V<1pz}Ux?_|9?y;4?;h4l
zzlr_b8&vq9;QCfZ_u>iJw@07;vU$w^*?)iY9$&^_e(3u0<2cmOmmPcl#iBy~FdND)
zT>hhP_1jGM`(FHi8AdnvEk1nyh5Ap?y9&>lO^`rmX(96H&$ma%E?@k+Ua;+XwEL_0
zw_@w9W3q5z|B*GqZ$d!Ll#o-^?Veb&;UF~J8vQ1hZ40ow<5%V;)$Dg!TU+Z+B{V+J
z)RJp$^LoQ@&VU>sn)^?`b*(l(_IYJ~TGO_~+9un?Pu&q&Mn7@hWV1{2Zj*edu3yDMP`H(Nj7=_yl2J1BQiNOn-whs=X_PTs3`}n4v
zB}xmvisS|Z?u}DJ!P`Byqrzf0V#uG(gyuN8Xnivuo%xCWgZoRaUNktmHe#dp{N;#|`m=51J3YI+NOAcMc`paqRBF1!QSF{wKgZN(gtl
z_|zJzq${(Jx1bokTWn9#!@gT&_0H=b{^rYC)J?P|2=%80hS(&rx^t-N2m9(i%nR_>
zyO$%`>*|u>Gl}-kdv)7yYdRcRX8+Hw_@*B8)KU_Fk-S>JNJ@!fc
zC+$HK*{C9riV`-)(cIgA+%`5h
zD$+RqFF8vOrsbz(0%ls5WcJ|nMQ^ie6V#$B>J~3eU^?60zWMP|Swml^Po4&RDp$*`IPKcjtKU8!mp|cszQM
zQeZZ`)AKwYE^Z`Y0OkyeJaw>*wo$r1)xX=Kx8aT`4T;y6+GZ@U3&{1sqpxBD$8X4a
z2PIVd3cImAG~Ye^UZuZBTvj`q3H$Me_+`(?)IVuT-)G##oQ+GR3l?AWY*Wy
zJIwDFJM-)Pjx}sC!WDcVEq5zSd#UqDc31c7t9$mv^!3XdeC$8|d~_irSKm-P`Mpy9D`VVJrO5SN{S{IQIWsZJII1hPtXs>Y=fcK5wzp?W8ZV@!*^-T4St5QSdQHqo%R*AZR_AI+HaqW8jDkCs1}kW`Jx
z1Gad`p%HJ!en_si2>^I-_~PqmHDb?I!awUGtO2iL(OY4a>7+_ats;F@6V4tq;aQ@c
zZ!6M_N>!-!Zcoa*7HKp}H5YwW0$nOcmoN~5HQ|AAwjt^6D56lD+4^=?&3$d{1NtiF
z=m_g-@+Kxv`!`&)ty4x!iw+AD!rKT9`rv2NspdPQz&7{NP%T{o}GVJpWq|{
zq+JZWc}%?r2<6gbIsr8J0Kqggw%~Y-0zWGY1t`4#4&X}X&uG>_sRRI?P<%=ml12Ca
zY;(bR`jg#|c}H-y?4_8N!{QMTFOSl-IjPdB#-BJz5|hfm$luVvc}sH4-R|h@4fQu*
zAZT@t;Y29?`PcS7^y)RrGN>p`0g{ChC)=7WEOjL4L0iZ}#}{J+6XoA-sPe!{KEQIj
zjKYZZwrEAmS9@VR0k|j-)maJCMelmc`dRbUp5Wk*m7mxA3NZ0xxUsmsg6^)6uF?}p
zA*}Q{YAvC=Dj~fXDsLy&{4pu7tf1s|fH}eM-up`XsVuPb4%W?*1ljYFC)xwxPd}G*
zu5@lVwEKkUM4a81V~HzAIQ?JTJ_Vw8&rq{UE=?!r99jwy`E-tY6C1bt>P9VFS2F}1
zCgv#)mLo|MwE^lZp3rmA;4bPGawKylan>E}stenyy$t}`2f#{1=ld3ZP7-})y~!~n
zb=~53q3#Z!qasyK_D%CgX8iL$ML+nik8cgvbM03s54KnOcjm{7Hgk)3v8SUIO+yRF
z??!XTLsg3x&g5F0mlRT2?c+Y1gMDWyZhAfeOuhi
zNwji4>fXBUua*n6hcoV$M~bgz{Yl5?oUn6K2`b2NwB3=}RdUb#P~vidte
zx+?_|$Nn5Yc>)@ej8a=LyV-$#dg?FY{Dag5ihRCTo*C^Qn>*JDlRsuyD+k2KqTajM
zk00|6&uA{1@bli+^@H@<#G`aH?Pg;^P5=MUbstVmtzp~fS1L(pN$5QwB{U61q?^z?
zp?3`(1T>;3qG&<_getv@R0RYC1VM@h1Ox=6Dj+H#A|kpYmW^(elXu>kGjq;2-@lMG
zvvRNJx$f&Xy;7@#5Blw6v+8#K?2&;R-a6fV7yG-0MU;-7Y!0$tJWzO_gt+%l!aw6v
zCdwK*KW!R(O7|aYG>8s;<@s{UrGG}^pS}^PCk7!%r|plAdz`P`{yO#L_xt4FU%}4N
z&q}YmwkbzURqMEK&?wcQh)6|eS^#|J+1NJg*oy-Z#IXb8$m$Hw8^m2{PO&@a{d&Onrzk`24E@?u&OI!4@O}1YY@_LB4*08M;hWzz
z$gOAJ-`C~>+Rm5cZ`sIwAMd8^^$wC7i7t=4KRo(#PcV2s_u<>?V|Vf#=!L-`kv(65
zyTK-DQleXG3I`eNH|$2a`81R}3V;rZ{zi!4lBnh^<+H|*iKaL4D!DVqg)}l>Uw&X@
z%b%Pt@pDP9tW@kt8%aM`@7qVx!2AQoez};iY16rG9=CM2`K}|jV5JIGA(W9yi1EL<
zW<0-%YVC%pw9fn}Q_;vF!e*m(LB#@OP;kNkt6+FUWAK<_kwFDZKQlAHPQTmUbh7D?
z+K##E*~ccrkKfOUb@rND9AxJC_*w9Pj0lPfTQwH9_eqYs!~Gk2&K0s)grzI=Fc@#?
z?qKQRZ|NCr>2+m9J|XWA!_v3e(y!lgKAvd>05%a&8-QlbwhT0uBjLFQEi*vcDm1f<
zqLF+Cp!r8YJ;vYxGb5q>R=G$kkDip6oK(9R*kzkkD{pAD#*>stC@F#&8j)%n4++8X
zgg988tFR8TgfE
z*+2twc&_xMSVY)lW#$JsKyAj7eb7+T2Bsa2X*)KSFhon|Fd$BZh|)mf1Xg#nJs*Mg+0eefAfvHYeZ!DT
zR?*A>nh~1iF75!}9jvKPt13EbyLDs2erz*+Q(HmA7l6<}wml4^ZH6hDHMQ$7waYMK
zfuZ=PW5!c0@r((J!=hu8Migi?p2un%Vr`S`j&__H2EiJdju0K+Y^FKk5h31?MO4f4
z)k$~O)MF?u5uZA>I(d{x6G<3-)9h3c-|K^)hEYIPGY(V3DTyUh?sy*S1Gb|yfp)ab
z>3e^g9-5_#PMHY;;QG^3!*DwO*^-9yls^NGX88k*?|d`a9C|1~vm_^jDZtwb$EiuW
z`BJL8KJ&}MGb3-tH+KSPY9^bQf}e5vmFajH0IVs~TfqamoY
zTLsQMRde_G+#XuYBgUGVYuwB=Spw1%7%E7@26Xg5GZ~HpNl-z2HWTIp?u<5fK-{jj
z03<@5w`I9Ylz<#Z+#O`>7(_eg7_OTQ<;!sw!F#yf@Td-1a89O^O+e0t9==CCJpL?r
zj?l2c#EDNHPH`X+0)#BG=&k7)>_PX4S>&dvZTaoOzk5W$JiU}aK?Bcy96?nDAWv>i
zC5ImH{kgr29kmc77{34?^Nh0eG7s>INnAWv=w;~P72)COA49`(7UD;|v|(OV=U-fl
z@uW|^hz?yekEdZ8o-;kXFNAtuwp?P#%*Tm%>EgU-14{<=UW@^+>xr&8{LdNh7IPP8
z;@-U=%RHw!`iLqm`NjC;CNGyvdEP&W_CD3+UGA}*Y{~Hd^t^J4oEWfpw8gtX#`mL!
zPqv6}y$Crc8D#Tm>9&$@!~iJWWVtEeS(xig)}t%{Y5D)aKm2hqXGYaemMpVAPxW!LfWRSYLKD#fAGsX|6hJtk&&kJ
zzx=Y9)c=iNuHzTOgfETh6XfS>$hCUkRddvaDokRW7FAvEEc_3@Eb}pE&?VKO(DW6O
zl7i}>+9tG2xP=E~U2tn^?k!aF7)UUf&iY?|d8(K8;CU6Vn8XW1OaJ{auTr@K?WxEY
z9V9jm;>P8d&j*gwh?u?}?`p~DzV-MP{KF-x^=##b`-e;PLOw6C8N5d>VPk`z*zh~a
zI_XwFe^q$xSZKzj_180#_oCiBJlhqQO6mE3`Q>|eO)6i%oBQ~`{IcrhDv2BFai$k8
z{5b&r@&wTOJ>JRD|Ce9(-Gl(9|HCg^3eQ$uG1{fBr$~c60I&mxo)G7qg>SUmI=X(%V(II
zMs60G%QpsOi%e|S;;|W*u9qz
zRPh3zES4i(T4eoh-+Gppa>#ZPbw1S`)3Myr@uLJnjCGN?Q`7qX1i}J6xs_vQF1WH5
z-5-us&*eYG_K52EecEt~dU1!g(4)&YY&Mu+YM9IYc0qlyoBhF-JXZt=$IQnZVT5z|88ZEJL$;6=&74zu8}=zF84az7|&0MLTKxo-NffWm=v
zl>l+O>TCTLYV)xR@)Q2Xe7lda=R6c66Nol#V4F?x^N)Q`YU-bj77L&`k`0!s
ztUm2mh|r+k-|gVX1n7rg{$^8bg!UGCD@**4epL=ffbmxI-|g?q5Ta5}|JN)N9jHc*
zzLo5+oK|OJE%lBsAM8TM?#pqRW^U!6DsBt}6}1^Ys!hACXd?*BWxOFazbDBQsgMId
zoLo5o$T|w*A;}OBxP0u%&|U=qNZ?5g{%nv`bZyFyuhjwu@00~Epe!SywUPIg3M@sTr*8S%;3T|B&QV+NuO5LgU!5^~?4jF57_ecIIdI%41^k@VC0
z4{Sj}Gb3Hbq&F|NCP}EjBt=~;DUHM}ODIO$IDya^nJ2bs(~6VFoZ&}`UVkAU(^b=h
zq*-V1ee+GU*d`bBVpEFd<%@G7EE6X@vabl$pBy;U(W#2*i0wFJNlwCEm3SW1Raa4g
zf3M320{AS};f{ncM-?@6!X{nb>r+$BX{bEy?{G8pQj-}RWrYdcQwY>;l9Rh*jegbE
z;ocHLI$L7fA%0(x3ImSJv0+}Hxqw?W1n5vhAL|6me2WGF#97px1DL#g7==OMF(M76
zSSIK#PzZubs?#S#%NI4=!jE;?JNs_;2oF|F=TVr7P5Q+e0c64ndka$)TP#3o~hUVZa)8!Vy1m)uh(Lw`FX4Xc8twdaPtPRSZbXENJ
zvYIqJ);P9@&orKk_OB8f>jG1d#wCx1Q;cDPXnBM)IZ1@rSXVfFmV9Kd%&Gx1z4yBK
z+{Fa&RYC2O@!%oaPC$FjiQgCsmpK6I-KyR{Z!goQcrd!?pg}FgVr6jeq!1yFGoB7cGNp^iW!wk
za;#V4B6jDNz?C;<82spUq`7z!rpHJWmwmLswCA*X4D}VR!b`rD@2dbU=jeaFWv(v@
z?5O!S2J1f0^_9ww31)I0A|Wpx+#6jNtRrlS>XYs}_JBn4&{1Je_gCde(V>OR$mHnd
zPCus&=8yW(U@yB+v+7$u`69uP%aV9c@7RCE*Fehd^z5P=yN6Q&nmRy3z8?K5ENS{N
z`kCYt`Q(XmK3`p2-JVL}{q9|5apA=IXRD77(qwOVw9%y^K(!v^U1Dn=l%5HC))8}5
zk#S2RVz+Af=*y_oTggxH$vR_mVIq}tn6DRMp7X`V}i!klL7L;LaN
z_jSW&s>^41pNwwHTld=A0H3Z`oO(O*ievH3@l>v%$>E>8d&Ew1K(hBBq8!bV0cIcy
zoHc|Cr`Fe5?FV0zk)yr)e`Ia;g$G94?#Gi(y|k>EqI7&W4>!&974%4sxlR%UV<3Xe
z?9+7ACeouJ2`l{Yw)ATmd8tu
z2wEw8xnrm@$m#NFU#e&2vGd(x7=3IQPTmv^zPes~`rSoUy!91rmGEjYY3HhIdK^HO
z3ZZe^GRSAHQjUXD<6eE2pR&3j`GTh7DQ|{@wsb;-;xW)o2&#uB(|$>co^;41c(PC?
z;|0~U4dh5bFetp!JciI&H&bGi!U+1yyu0fc8vOfN8M>mj4FjDYCKSd9){3%lqn;-6
ze(B;h3T48ob*yknytB3;-ONu|Yt2!#83(7cjo}`1K`F`cc;UHw&?9raEmYKP04O2D
zwTS3PI8@cwIB2|Wly}tOgRd#ok9A?QT8b{Im%P)|$CBQ!2X{V4+lf-Q+5@cId0S>s
zZ8NC8HZ++E1t_pni;T)1&ni3`bo<(`7ir*XR=Pg6505Tg!dM6$CE(B+giM9Nv|@e7
zY#3%IT$ap+_yPdMJH25Wsl_Fs2h+WYuzT=~0b#qNTZby^l0(DLuilfaX`o>QkjrgJ
zL?a1olW}et>Tu?kRuq?IlmZZKRMag5t9uQV9D#1T;M1O(k~U&bEpnU=wbj?BToaPt
zj1RSKJMtKDJpzD?mVk5guPeQf5_1!f_q6kplmMl
z2hqQH@8A%2#}Xo0nj1kyD6i#4nI{2BaUpngWe&240C$*yLj&O%aKMfb#lHnopn}wJ
z`8u|)5{h{8w#PznlpF>s>xKS=M;Am8%~ajxNp`oY3zrAexw}AyI9M=OY(4w0akSw$ynzoAB@a0`t(nc8c))o
z$7NQeco?VTZo@TeTlA?BSR9($6bBoG6_3}aG+(qy(ZiJC(K>Bl-8BRLc^-9|9l?f(
zbOB0zvT>w>v+HL@yWHOo@=-a#{O_p(>%lkIcs!`kD5Y}iP@8Mdv4Flp_kk)#5G(H@
zR0yVnoe*{tWO&Tv!d)IwFLr-cVHUsj|J8FaIUpD89PleSkDn
zxEY7~#dA4&45L0_t*KS@UcX8~P0m1Dq1ILopYD$-kyRTVt+=O_|{v_C8Fx93`*)YJve`R}_6lMWV~DZc3Lh~qV6
z_*F8(g@V4yrn=eHGkoPlsr8CyFP}_ms0gX^@pcFSU2gY^ne@JW-uHIta3dCThD@ab
zXue(;P=*q*S!w+8rEymxTv)3qCEfGMZS>%`22y)dD++T*Qe&#OZo(JcY=~~%EDOYx
zJw)L|XRPq^O7hSnShFUF9$TAtx2PDC*zbpq~Rhl18&r
zu8UZW(h5SkHFUQ5vaZjhq}^qEYz+}b1qvaUc-BQ&rPO7ww${=MtyyB^_r)Dr;QP$J
z;LRqCY_dVN#{)k3-UZ*5KR;@ZpM@@Z(!pPflR5PLE+mx-wVpXN%Lvd5xkq02Z?LZ#
zT+w*e*Za=Up^cXu%%RMx{cr~B0DFM*rrqHsovICevjm<`OkZ_e=83;_tCodJMtJ|
zP$C}EP!HmU06VPPCoT*;{-yn->Cwr+o~_ib$EnRoTkPa7({cMga90ERzX6mBN{btg
z#DS#%sD=SF!2r!go-g?#te}Nfx)50atUx})_cR{7)SI5BY^O4GsN#{hor%ho9)APu
zr?P>=zlWYK-dEJ(y-$Tev|v|e>}*E^>WC>}ZAiKoOz6Lh00(vw2lL8-X_XC-&K^gI
z4hjCmJ86t4zU+T>srRJq*yzaps|R)6Z{pcL8rXMGL_87Q&4zeTVG5QoZvggI>egue
zX|1inoKV*=9;~(kK1qZ2^uO>RW=fXjn7aRELEce;voXB#u%6!~LhaC_|HA0U(2X{{
zeKU~e2pSj!i~9c5ntZO?n{MFO$D{I?^6sQrsx5!XC3)B8#w$rO#@P&L_^?R36y~W`
zUmwE3_4CAFD-Xtp13jWYYdZiYKlbn%V6<_T;+86xdgr
z)jzc?pOnZeoUU|xUXuFHSJQhJ#;Y%1)j-TJWoiA%G2!)t#n~%0Z>acDSko;8Ko|#bJRhMz9U0->c25{%#t!iARivW{aIgyxb6joi;8S-I({2q7
zS_8=*;CQaA>BY`a0Sdf~jU-0jh3DRDfCElMo=URIClS7-Ui7u`;k0+pgK+TUGt)K$
zS6`~zPbMx;Co~t@Oirjx-(!&*Q7O#sd+hV
zO@&{KM3dW~rduz-?I0)>&|*X0+oL5-(B^F~u1ukEj!5v?xE1^N8js(C?`&0>YI9mk
z{(O(r&7fRwd9~=9L5F7X%5#@M9)}U32mMgjUhb4p-`w^QoVzXh@G6al;Hrm*UZJOC
zW5#wK?SI0cEZ4p~tmya^w(0QTZt*`jtqhSjXp>Z!_YCY)GdjfPuKvLS%yq^`!}&8L
z@NNn2OHmuBUH0>C`diyRw6b&r@!u~)fi(h&IT{Y0kSkwYKecs2%+t0g_*
z-x236xAV=?g&$DbU0s4lR8U5zx%{%?h@z5p-&LZU!DUG>}SY6ZtUO{3=&
z+xtMeuQ5HsWv=|%bcWFYYXF6+Pll!^1X
z_oKluKJDXzxYZiEXv|CS)lbR$Tzwc+Zfug@O_H-b
zFZkr<$%DWBT`|`kKN{DhCv0d}PuNdX;cI%<V68XbqhI;L
zMAA{h5!s~9V7Q?E2}w>rWU;(yq#`|XzRd#NB5$uXCs;%
z@x#%4+Ri5bLO(zHZ%u8d)8NI1(5(&DCh|aDX;?fsTU8pm)_7YXi<5FVPXSBA185hV
zJ>N#O`sWMs%Gq1&J1myNV!~8y_H@wMPC1C*$5FF0BS&8p|Gg8Xv=TOjG^vS?6Z8xa
z93ofA3r%eBPBu5x@XB^>2d0ZDh~Ula_;-Tb0CwBP+>Y=@&YhOMl3)SltNIWRhVlxp
zQ#RNFNsu7b%(evo`>y+B_jK7mZxn&WMiUCpsi!9|@kn;CPxXTUxC$Btsm!jX3v%#a9qMuuI7pk_2AQX*71$yyV@`s!KdH3MGe_U+_<=-n?
zypKa9^w2t0=ngOfZj3WCr++J1IN(=lxfPs#sD@%VuiMtg6gl1YHQAhq%4P7YmjLFt
zAg4>0Ea{`6jrxB4YOMq1Pwe#D`qJRWoY(Hyl_NMW-bRyP#^wF`Bg1TP#^F}tb}GGf
zYl&ZrTka-5*=(4Ao7TSvxqe9F_=b5KG-;!%#8v9U)W&P(z}m=PQR9oR7WWGEuJ9Ir
zsI5AGST|$l=nz`x?Zt^2HT~SVrJc!gG#;h;kUZu`?%o*`JsnGL
z7v@s^HcI;+_N(`|PqxUNm1~&p+ji_XF*x%s%__ycP@TB$BK5dPO8PuZb;ePCddW_g
zd$Q-lZNdi-aLef#L-S>a1I06vF2S6w!Sbary(_)Wf86)Q|0LHXANw#)=2(l~N2f3!
z`iOMkvBZ?XiPR~i8Sgfw3u=`vpcx@$gWHzKDj9^k@B0et@8^vshuGmd^Mg;EyIXpG
zn5p9*C_aLykoxX;)pBQ?|7$EvulE@v=6tQ$YFB}}B8io&5VQ!OQ=|okV{fXyA?C0j
zG-<3Oi_?chI$sR_>#>>M?dITvz1LGp)3OFh1uOr2cZg`RPSJ{73{DA=UskP4Z}_q*
zQaJ;rQv|N(CYawQ1|g4gS9igK;2%HUmh5-Ea|-VtXVY%m28rG~ZYnveBC%ZVqA+0-
z|JYqF;C=2PA9~jHgAH$Riyn_g;E>RHB3Ov1oa3keR=y6+@vJ9LP
zwvta2{dP?=H2#oAoZWj|yLF
zD&MMW$r#>H%#x}wH`oJd#vY?
z^nQY~&#O}hAtIh7;+2E~1B1}au-l_$im@nj4F#ZrjAlR;6m8v$h&sG^uP;(-9W
z;Gv?G0;ad2U3Ey@OQ~gryM&a;tSCv<{K@-8_p~E}&9;cCLKv4|V2nw&bcF*~0{un7
z(Yu@PR!Z4LDFZQSZC9aqofEO$?_a%`Gu{p;Yi>GQZ1ULwfq*INqg*RphiyzFMZH>S1;7IX&ZdlNdM|&MF({^2bpCtjSB;4zs`RT6?+?6
z5|HxM^O42`;b0UE23eKPhNCqWE?Gy9##X>gB5p2_3DD8zn?Hx7fdyAw`q*8w^W*of
zUs*g8pmhG$fPdtx4mv8(V!8_466yMEX@qrRy^PNcLENSw-wr<$E%lXsmlLX0KN?r@
z>0S4qkmBQ~UOU&Q?PC8bHFMu@XIl#$bul|nUi_*y7rhF6^!_ToD6gfb6dp7bdeM(6
z6Q`H{)%??Xf7p_4q?Sw4j*PDsYmFS~e@DfR
zYH8giz~~hpLctidkwql73tUAPy_wd}b1oVzue_P{{n?mKqDuZ7r6Ip$7%)?pQ+&kr
z5OivP^wWcX)>_J)2(ou)E=Juvc4+croq+ZOo|pc3>vH<(8)RyYNyYh4w^Rx?h
zkg%_UY{tW%wml)`$KD!=F1}>RBl~cN8gO`ocYJ9vgm!97Ah|8?$WqlvEmQrca3hH3
zh=;PG1OO_D)uDjgZB5o<=i__(8Z_b2>{q1^r6$|8TxCP$`*CjSNrsF#5Uu!ZX#g4#
z4+3MDN%svH*Q=6EIJ85Mht4#{UmcbrxcC;9*dI~o<)Tp%{}5|-OLo=p0HKJ^LRFyt
zJF=_Za9;{>8v=|zg*dQba^8hV2^PoAP^Aiy8cQm_mo%kS&=@3GO>9<&n7yrf*iJRq
z%QPL?AUPTqn3g@Z9~b^-UWrgLq{Gg0qnXq{g*Zka?nJP3%O&o#CI6ma^7nv9;s|p*
zREGson=!R~DgUfd!r(!^UU|!9-UpIqM0<_KBQ+v_FWvC%LpEOK+jY~7TtH}vb5Cqp
z4ok@=s#ttw*^VWWnjG3H1Zf$I`_op+tTHU}mgWjSQgxbvb4H=Mw*rmZ$|COf+CO|+
zMe46&v+Xpaeh-}iK?=FJ`wUoSpY9t(GInR-SV`xlv&SO%4h-Z+m$g}T#_Xe=)-5~b
zy3uJTJC4d=^VY}%v~N!qjneEN$P(Jp2@S1>^<|O?P(OB+65Ak%a8txWuIxjSxpBKR
z>0$lP{)DLRgawu%rfl`sn8T@zgS7{5^KUR9X-|#R8t<`rr4fdkqIaXy2nahm0&*uu
zih=G)r{eEWi*&caBC9#LT$#9xtYt(myQe$7E$j7Q-R()m9`T|8sf?!136$bkZccX#
zpG}(veiWL<8(m&@FX>?~I9AAlL50E6z~N^FELUY2V~CRryvu2IN$R4HbFBNJd?(wl
zzy4w$yisVQn60lmneo_exIk5?k9{_FQXv{?sPXh*rhyNSQ_GPVS!785&A2vspe9X
zb(@b1ogu689c$C=oattZGSi)@{xZ-w!XqPv4_1Zjk}6idzD>c6^Y{`RWxcc;^9
z8Y7~W%YQk)5f}C&$erX66`BuMK)Cy|Ao&KzjjC?xYRu(J(+}cjTAKK*c##eFz)BH9
zWjQXk|0ThPkX?H&a>*rMhB2wGEMp76@F8=dUZzHU&3@iT(PaW{aOil<1cv85)G{Q(621F#&Ddo~w*Mcf2
znFuAL5k!yvV-2nKV^a>fx!1mBh!jp~ed<`CUGFt;$<=o#AmGKIWj^PJ@K>+
zd?1x3^n2c>{1#NgW+hr#`imla*r=?*$=ajZ>c*h0WrbbW0!KPqXFDkwi-_ScKLUW;
zcVQ(XhC_S0V#i3cAplca=^-f=~HsiL1r7D)~Afg%gBVur&*R(S3KlT-|KT&<@F!A&VtcUSOims
zWje)FWhd!I6wz~Ri+hCm1|NT<_geqTy20t`Gd3?RanAWv`mcCN%HtZ`1HM6><=;7Q
zgSh1GgmhC8*0+}#N_a)RphI1;0*45*6HzN!>Yl3x~DS@d2v
zq`mHrg17+rWiWl=!#7s-Ps8<~n;b)y=qpxR?aOsaN>ZYFkT?@VhKRefBDPUm3ssJo
z**lYMwfmrF(uf295(f6^tJ5)Z1Nyw3?~Z2oznGd5x^iXpQ3-#ES_ZjH=kG!WZ9(V^
zlxD;WZ$W!zJxCU#h~39dtYq|{E6~a_NnK~1bJ=Y_HbJH{42K?=;Cf!%(fas-(#^j7
zeU1UM@5Q^&6Lx;4nZFS`CiA=VCyR)$aJCE=YRZXya$8TbF+kH4hnjHPF%+H&(sAJ>
zl>gDSqtiZrOp*ndF8kO`X%@*wG4hw!j~=nBGRPGy5+u9!rU5fpBH|v*S8MCC@yDq%
z54q@9Xg_#DhOYl9CfTtBLTNi`%wcw)0(Y&{Um;Bj>!Et${f**7S-yXNm@MvA+P3whyetS5g;?;S#a5wufnplqkCgz)fLUn1;y;loH47q{Lt{`=V
z#`Jm^pwD8!L1~9g5$XPNd>_;{s}}2j_Z3kmyacj8WUy~1bQkM1+2f=bYaq@VZc|#~
zBs*D_YQJ!*uWoKRMHQ`Hf)?pa4#0aeSe;zRNn$w7U@K#>`FgcTxQu*w)8O`ikb
zAH`@5XzWTd5rEntm_$zY1s5j<;mwW#gn*AE=nsX7zWq3!v=I&7*%JpSO5Del)&q_6
zgj$HR^!IC}Od^QBeRicRX!yrEIO~59-6y7KfrET(DzFj)Y;#861Ev|VkwszM}+Pj;@QJ
zdiyzJ!!!c%MuK8T0c`}Is~>I6+$po!*s1)?=j(VSw9ml~1
zMl9eS^4|W;cV>P7upj)7D$aKnAT!nrl?q|N!QVa6!K185GRt?4nYIt}$@yB4mF(RB
zG1s?$Okso|7Z*?++9&WP2$*tg$R$TR94Qcx8
z*Z4J2-#lnUWE3KA{)j9laR21a%aU{$GqlihU=C(BAq{&Wg^;8Nb^IHXtC5mwfL!fj%UJ
za3qHddLT+oUV%~5|MmCORQ0Q%J+jK`62C2HoI*Z9#SgGg_Rr9gp8)~@_Xz{&9w0R1
z$E)ou_)W1FC93jTm19%avx)=WxbL>}1ETF6gTGje+(
zd3d7bO$*)0;mjw$G{R3W@b*nB8xOr*IlPouq<`R|Kj^7HNN3wtI4s=;Erg@YSnqQtay@on3)6siHOv>5w59H|>42gc$4J^Z>q;orTOF>FX48<-pF
zk0fipKB!PiRBKfg&CFHssDO(|3D?Y2g=bs&Kxm?iZth>j3q%X1yq*+!T(vb%wpM16
z<_M(^I}(-uPEz@+)m>D8?5C-gzAM9
z5lQ_v5Qrz5IBaoLw!lh~=SEP7I&+5ZA>@Pj4kcfS%VqkWW1R(xywlkhVqO+wv&9D&
zBj3AVr47SxomK*fNhkmpj@CJo4Gd+*ty~g|Q)rBTpLQ}n&Pv*taP~33c1a*w;qv5J
z^IRs{Wr#yF0gN>%KCCbUy>XhKx}DW!XQIj^WD~LlM1}(ed!h1Z?xvF
zm0$iMmtXHl(~o05xJmPT$|Z|qLZ3sq%?PteB)`qGX?cjWK-l>+)J4~VuAyG_Zmj~2
zX7_r!(cuTk8)8aAzS5yNQpI>M+wHAV99&Q~8eqf!ecd+5uek)W*94$^KupV!VzO|U
zQYQ=`-giGdeBrxgl3ARFJNO1Vs$c8L4DzU(n3TgTw3;P(-m@LuVt-fWz)^hoAAat{
zk)z`GyK3HP`jVvQ6O*rtx1N!BO*;LKPYLTtI00>nKoL~rt_8(Aw$1o&(OV8Jf8`nWZFDz9${vD4$!0kz=7&2lHjwi6`R#Q=CegSdDJL_rW|C{j
zWxb6w^@sYiBhz(oDb46vJsG=cNen(+-RRhL29An0pY(o!Ey;FGJreRp=bEv}=
zSH2Ths~85E)v#Ixa{@qvuAGPBxmiA(a$JtYhGigM?vQ+Brejc9nJg2Lq8`CwqwCJ3u!y%!6Q_#n8fhmnfV?Q`gi29L3sQJF9
zg0*Ov`BDS#g5k+9-AI+!t6F70`frnNNf_M|cSRb~t|v-%48;E#!j+-ZkwQZC6jC+s
z36eOs7g)~+bE|T{AFmszsLnIQMATCdSGEW|$J>(Rt)XGg0yW6_=ndj!5JULZ`_vZy
zYF-PpxzH#<4b!8+>xo;-oSSpV#1=Bqzusi(s})BmzJ*sB*hy`%nT8>`QAkTg*Oi%+
z!$c7B>Jk*_XebwutV7$dl7v?X$)$k@Q~btjB+)j`{G}~Bg5`j^(9z!6k&rETF409o}a$V!tS*CfcrK%VQKm%=X#ThIxLKs8;gSF@YSLv9PNGO=uBab=oMhms%
zXX0+j_jeQ>d0@7))M_Viatx%J((EFm=Q4Lr5_;5i?8TecZ&QCdJjQjgMs-fDXG-Bk
zl*voODo_ixW9TGo0THT1SZAvBL!;js&yu^kR-W&j@gq5YYOUePBWSGS=$2z%6VxaVLIz=}>l99HD0fl-wR)d$qeHKJ?p-s^OztQ`A(OfV-XeFdlvtLQ#$R!;<
z(QhkF59D3UMMrT0OzA+KgVJ*o5=(>u$1yX3Ux7(HCGVIL-E6)M2tW|n$OuOyA-x<~
zsTkMFy|F<-N0xhBd(C>YAyh)~
zl=x%Ps=33X
zP0*mjM$T#`3MAV5wf^qf+nVU
zf*IJhzb21bI{5b2HDvuEXKMxX)3x5Drc8^$JV(X>)UUKuL-wFEHq9Ipp!O7F`3^US
zhsS|tl5ob7C0f
z^Un>AT$~?3pTBeEbT(+u=CcqFhCqSvtev^mg@zqvy2;zHa1bmk=#b-*OY8KU~aJ&M+*{{QV4Y<{&NkFMLEQ>
z7x!u;0sXblVZV=QPFf_QKuzY)x=9Yw7Q*oHjl-u%2#Mhp(fbj@xP3EC_7JWg_$-5%
zi+3b*PMB{8yj(8)g7FxOv*xJ2Nh>ISbM)rdMhEdtcN`ZEhJtb1gOc0C&_y~@9=6k2
zCdnF<)+GtEznGMBWIxXb6b&O%m;ix-h_NMt*Ll50U;g
zgywhA%^Z@(frPy25&%+GctLY_2)F-q@ppk_UIyn=vY@e$L{XMR&A7UPMSmv_6V1kD
z4rykBkAw~3wn=qVGwCIHvza0BRbIKhK;B^ozMe|bDu6+Qgfwz)GKKu`!*MP!`E5Fn
zccvE3V&_3|C5WcKR|{7#z8e88qT9Ko9o{+n<=%L
z>F%2$;sK0>t#AcMsBXfcogQFb<2+f9+N>@*U$OR<$&Z
z9ug(kPwr9#hv_$8Nm`?44n5>$$P6Fhn8^Z<@rqFCq7a**^~0;LpJ`f%Q|K4~CVqJM
z_K1`EmZIvSVjAJ51#seo_?(-C4C@L=ojMfSM*0_nl0cjBWrH@SNPnPDkF=R7UK;L*
ztTP)6k${0SDy219qNC3h{J6(--2!91xyP`K}dbLg!1o6C)Op5||55&Ug4AjC=<
z4f+UuDrFHMWiu$X3f6M)lo}h9Vh(;UgnGD|F#^qag~#PULz*FC3`!5>hxeByV_%T0cHbP^3*E!9bE
z>ZD7GCrJwzco&X1owxcU!=x$<_idA|*)8UOvJmSm7XHH)tMYcX7#CD!LVoZiCt0Y!
zuFDsg;(V}eW!f|5plUuJPRtD9G@i-g{XVww0uCfW{Smi_{KQU>x22c-K1h^P)G2H)
zw00Z2Ki(;BL7oV~zy!T2c+G#SA`8c>M4Oh|#v=8GYkoM?qQ-5|b=K4mIOr-#11Z5h
zSujravScc=z(&cIVY`z#eANQFbXE!|VM$7VT(0kDq^~wpDESU!4;HzxvqWsHWbvj<
z*Pq&k$q8eP)eeT0X5O^#IbCy-l#Wi)v3o&c(Pdw*}(
zVeEFv>i8YLmf6288~RhEoS<5qWC1gWLAM*E7ent!C3N!cssxTCv`tr8
z0BceYA_dX(eA}q>cDhB)i~!*FERp1>1bvWa@%l@eIJk9pP5{TcE?xnW!_jHIgR-2%
z|0poAlEaEn5?Atiw3q#ot@%Q7_?W1ER02#2()AaHd~^m~5_(&-?wl7o0d
ze${f|!n;h<>BGNn{S!nH5t1H6qme?uP?0ipPkHzdjxI7u)PO?VwX+rzMyI(2=)wiM
z;*Y=Xz2#<~Nw`4_hb_)$_V?^z84hqRZT=$%#JZ6xyigEhGl-?$nQOX>xZb93QYTYM
zlD|Qht%&KUDK%8K$o>T8zS>nRUW9^(bqYD8ZEjY92*uO5?WA&uJksVMJm(-&xH%(6
z#8#Lyi~E20x(lzSo>1+>U6ub`G=|oQ63v
z=~pOXxgg$-%>*nz=hZGjB?zYABR~Q>tPv3$tcCY>XQd$T<+J2Pt4S_WOUsr63OS2#
zi3i*yjc+2$tq6YNnv%mFPco^`?VW`uNIV&gb!R9j*Qwk{>A|yNlPn5=Tf3|1q2VRaC$_VbyX*W@|$ZpkX#e|+A7C6wR>}23bLcm%6-l0B`^?M8^6O{8drQRc5_=c0gVyi^qd*w!*
zH&A6R4)IgM{zHV7Lk2#)%^gH`_W&bl6ugq!$qRmYGek~*63*BtWtCA#UnkLanW{5f
z`?yOliDK|`R#uw|DMv#&-UQ`z5%r_{*sQ$9EGgGT-38pxa_;0cb!Ixn>D>P1>LKB6
z;xS1h1r97gYe-4}i~q{ITt?A+c}8S}GV`22`Fgso{D$2K1rtw(_*2EJ+_Y59qw0Q!*25k|oG8nc^&
zM>4qgh=s|8gvK=mzyN_!yM>Z>5{Rt}{3aYv7cu)RyUd{5Y51zV)m*wDn0rm}${1|;
zsVVbN+8~*M*FQ5*Yo~q&gm5RJ-9VP(fiC+U@jdppgfvIU{1#8^af3sGe*o!O3L%#v
zn+tY%!cd&QKsOq``O*MEC;5cDRGKh|=z3S2Mzc$TVg`6_wNhN7(@y9i6K5K4+>5Pc
z+`U(Yv#`8{f?GV;KT6<&Y=%7)+@R8AhN65k$;bc^&xV!yK`MA>)Z=Uz3_g|&LL(
>?}v|r{^vWSZ6-AZ}t|y?LBRT7=@!e9R7
zIMLm+sZU$IwxG|2u(dCZ
zx5SM?D5!!Q)Gs#Q9dAHLbVma2(87TmUF9TbiUf^s7#ZL;hC|Be4KCFocuzi_1cD=W127C
zKd5Z;okwl9!e|vm@~cx$@vh|&xZV8vpR;ENcUtyBr7bRQ&*d=pTh70d)BRYtD0b^?
zEHjOXA!Z=eT%vU5GY_1!!rz+(YUGn2OyDldjkh`-KjpYK<`1y`Row@?!V!=2RFs
zQj_=1$PZV~MGPG_Rx5e2cq=ak!~SFcoK4RYi<=;JISgK1N)
z%I)#r%Sh>aKWP!9yqgoc8~5{eW)+(~KARNO{P~pbP^x|RsY*NK4fZ7UgkthOxUl+-
zzF2xu+wvN%1o!6JjVqc{WkxEt@^7%=O?6Y^uYYu1-kfiHJeZnpuw!BCa-)#uobOvJ
z)UfS*@qq`aINd{iZy@$sW=hm%iO<(--SWBJ?|(mENUx)B{dB05);nD)9L;8_lPeQT
zdv~3+>F?Ix9eZo&s?rV4fS2|M1s`q4(HcHxUr+m9Xs2m^V9AIwqj*HUc_+70=P)GLMB}8#ip3E(s+N)zf@UL#)H~5)Y
z>)_12jEt*E;6F@~`p~<2I+hfv)&?GM@vV*@J@A>$qaYL74A^qcv6Da?Km)LVeqQab~_i|#6r_)gRQ~C(PxYM}&*);ejU4Kf*H`?w*=kMI-$dqj=6E#h&Ia8pnI2@}`3CxNdo?8JPL4
z&w!1SPq@Ir)?_o1-yt0na}3JaFzv;535-ICA7-R3nLdCe#>kwCVpJb6ih`<
z`y+jy-0j^(ChXqjZ3k%qr=n1ovdlu4X5NZFE=a|*_dAlM&@zlBD9y0{<|pnDhfJKsornm{Gn28*g7oio-8t-a~Pu1ZwBn$J>O_P
zt5Pl6PN`>S64wloI;rA4o7S5Wxce`~j8YrIXybX+1QoK4OqqEa%Ec_fHPAwD3&G0A
zo6JDsQm?T}qq?t3cm&4j?&a23gUM)vOD8;jlezwlyn>~b((Ryt)vW7*aZ6m5#&{@u
zA}xKinkUf=8(pA3S-bC1fTvZXB=lUUDYNui5md(8Z
znaV(+8#f!3=T5~G?e5CDB5yY~$_$fw8YvZZs*a@%-L_h0r4@oQyaO>!+a1XkNpe0h
zhBrAxT%raY7txtcJaVmlEmuQzMHwZE}TZ@{;8&M!5Jf{+#d)1Ee*&HjGPu@T4ZQcLp!{9ZxkMjP#%gbP!`-4=*aJhD8yMTxHphp8?pDZF
zU5?Up&$F$%XoEaMY}X_M2t0(>zv{oI-8?jD=^L=!zFO8C-NIv#AkY;0Dy>=kBTXb7
z36aeuKh3<=Sgoi^I>%nBcaVJ8Ml9C=;Oiq
zL+P!Or)ED#I!*X5ibZ!}(yY8=TX{p{1C~&-O;WZ=-B-*Kl*MmadUtvRDbO#6`3{B`
z;9_q7WXit)<_!XWHbZ_Yw0r14g#>~k_(h|3yApR$?XETZX1DpCh4OhOEUTCCFk`JtJpilR5GcmXXIiWt2j?_#x_b
z!)d{n-$L7~+ExJ<9~=!Henk9>p*`r0Z$~p~Qo#wbUHZHaWf+_q(uI7=`Xhn{A%VP_
zZ6M8@A>y82uy|w?&2dS}-c5Fh*S3no0*pK8jqnMUD^JUkY54j~Mzq;8#f?{Q#v}Zd
z%+hkw7pHhkd9mE^qchG>L;KpeR-aRF1&ek)pChk9M#Z$7QhLu&Qdt3WMhCMt>e9!+
z8iyO6O-a}9S9t^vapxD~4s?&T?xsl$x<-Ut5i`pi@HeKm>ugmCxK050K{4b&c)1KN
z1RS~RcmaCZNa99kY2d6`_U^}iq>Wv9?8NgU(7%tZtIobS#?!&A
zNSim#W2+7f~-HAW*A#CV5H%nv4?`4f-KCQ
zA(e+Z0D!H+e|me4{Ul6i!mDl^+_1q6Fy|l{+JL)mc4|XYr9ld?XF}yekn#H>dTEuP
z_C+9{5HK6$PaEXjvKGT2pg
z;Mi0%+5D79mE4aGis4PtMsCIY*GPLOg5S{
zBh;|(oi!U!Sx&m+BxKN~d%eR~4Bsj}Y-ImW#!D(&==poh^Si|VQ08mfp~|tCHz`8F
zN^vKtfzKcMf7&rg-`-Z<)LX3-o3M)1>O1h>y}kT;5BE4*_cXC$?SmmpZ;--8MAP<-
zjy>4e-lvL>89TN3ve^;W-JJTzYNk8;Q(KQKR`-UxevXi0BKI0tx2*TZTg!HDUK^@q
z{vcty&nN8G_K)Vd8-JmX5KuQ)Bu$&)G>XyKbl=zZwCY@rS2EG{Flh)8+x7PqZ%Z2d
z;Pw5J?JeW4YoAvXIz)rF$=BZ<2QHDt_YE=^A$`+<1D?O5A_d}9=$~!m^cSW+J>K5i75-F+8;RQf
z40>U3-6}$uwT1seCxxM`@8QSBj2-!RGQ#6S&&L@>nS+8CzX%B*Dqe_)0Vma8
zkYMadUG_;s>q*m#lj7O0Eo{Hr6@POc!aCW0XU@PZh>#Vy}woeGg(YJrgTYtx$
zB^z)2`|$Q>dK)Yi4NFJ={cQcK@80jh8>i)`uxtR41Ds+-oZHaA|7C^FZW?Crp1;1e
zJo|1uTP;}Kp;FH?jRR)>pDKKA+q_ume_5gLEz30`KX0Yx`kIm?QO}F%s5{KLKrljZ
z#bI~iu5FD~jqBo`W3x;5=K{1|C7Fa*$(RPPNf0J(g$xK2mG~I$w*9=u?d9jo_oHtK
ztus*-0Z1YzN0iABCK1ALq~P~@`OteJHyY~Eh8-qCnLLNEeZ13*U`DZQiOZ`;0Sk`Y
z7{qM?9e$EA)3fD-AxT?3M4E66jy_t$RM57Rv!
z>%Q?}?M>_pae(qiBH^?j3sN2Y4GclioP^zmyKgnRh(M94?!zx1-o8Cepm+>s^y@E}
z*9ZVV`m3|U{+aq}n&K&R!oEP)fgZDpoMro4jv-bMj{qGW2YsdiCWQTn_U*l-K7U}y
z<6VGkGScjlYlkwr=k$cxg@VroPY(NCFm)t8E
z*VS@}xCSX-{0T?6g)$CHNt`TZ3N;oM)<%@=x|Smdo)cZ)th5z<;U0M3Lj3%V!xL^3n8
zdZ)d!_nk$V(`{B~yv9Qg7)v6QW5*jZ8>bJ@fv*3ZUUtcMytz^$fSsUYkSJd7hRLLd
zK|lh1k%_PY!$OykC!DuL3(WZF0A6>0AW0vO7*0NeN-AqYKX&(eaHGw3N$hqxbfBA;
z0MF#OFXxZfLzt3xNGP+%XULFYaiTa$wkOIx*|B(I;{*!b^UBd5v-eDKpNR6l`KH3z
zr_gOl)teLe9OYXS)Dvw{tl?DhzAW~~FT;HPH6E|T=zqWbX@9j`uBJ*`odndUGp%kA
zbfD|+>N}T8yBfTcoqg+ixnlQ6?Iue6o1QwwUK_M{$hS?&^ozYd(6CqfuB!dN*c%VS
zCpETDYcK7^o`ul{_&=pW6yrk2RKi|uw1Qp^hEB@fnAlJD{?GOLGp(P0J`+q$;=*2-
zU-=W-`i}Kg#1i~o%udPfwc9_2mFiq0R{~z%{`~TgOXugCq)Wf|`%Jn1MYR_h#YJwF
z8L#d)*)zC>erP)F|2d=48~?kM?NUYTL99nic)khS>7S%)MIK@6v$xJ&+58rt5KqFL
z-i`mWku7v1yWz#@smlsmFd#U0}WKi%EI)Q}+GDiO4zx-PyYFONp?biDz
zc!q46?pyKaNutd8K$(#qheX3If0Z1zB>=WKKYO-l^nCu@t6L#F293RAJJkR{!l-=|Ip?`_W#LfFs)6o6c?^4ORQ|0M^mmRnv
zG|2vpvWxH>t>V;Od)nQS-dp>m7P=c9Vmy0yw@0B^&FAy-P!f}3G%Cz{+=RtS$V#CK&l3%=>m8*4LDok4FOhIU7$;QRhx%C56j=kD6}+{gb-*-6Jzc`IZib#LDMdkXwx
zxJuy+}%F=AfnB19=qoas@0b*c)zOLfM1t^gl>^*k6YRs6I12G$^KVl&4|C}8^z
zc-y%$!%}UlY=)%jl)7DFlvN^EWpZ-C!KD!%E21SX9Xn!a_M82lsq#OZ
zKTt_fm{&P-Nq}#v;)%;nbxtAoj-Dd@x>R}LNk{;#{N|)Psf^E|;Z9JadR1M0t!pW%
zI%ZWIs2e*K7prPqVk|;K$$NPuZ#^km3uzCXlRU&##-i@kURvGS#<&pJp1fg_*GB(l
z!-mAG$FvU@6Z?&CO$%&7BXF=XeHj)Ve^C48^Wqjmt>YZ}NPOh4;6dc=`lf*JJwidZ
zD)R{aL;r_CxfGuVW(UJvX5BXiu+O6>9$)Ry3Lan;hx^*bRhfhuC}uTcY#(`$3|N=q
z-FM~UC!Xv8~#0IedNTEJy`*~>uuSni`uEJ4gJ9=
zAgWHC`NAr%GJSp<_Blrn{)LjCC;&?Jrcv1rS%=uIyHdudJ|(R&}z$x^8D%S&>)<4)&|B*L+dzqGE|0&IXF+SP5#Wms-87^G{d;|
zOrBO+>=}tO=XMoJ)W<^d&~HDk3nJ&0vXMTKUqnEeHSRm2Kg0$q4)=ahua3~Bz^
zN`jPZAc3ZYoJqfX=gA;sZ?QtD{s&eK)7DGRHQTN(I@4Vd7zzZoZrrO@+eq9W%p4Hby-43|SAqo~~fLUK$>RN3qL%&~2U={c=4TdG^u#q#yt
zbgEj!m@vfH&^h3NLKrlUE>D&*CI=C!FFxlt|e3d0Au`)Yl^FeMFcrj{G
ziIi?~F=IAkGyHX9GOtHgISMh?h&&673a#Ou
zVV8?}=MbOHxeSUYST*&fX!^{2iVTjSk!0jNVZWE2Fl8NVB{B;E#N*K~^>~uxt(C?j&tlQ2$
z@ECbZIX$cJ3?~~P^&TP^vh!S6y=c@1;SmZWrbIGcMq>R5k8#(Pj}cBex3)aP
ztnuKBHj!sG-hzSUd0!}~5)NRZTn)$uIr=kx2uBk#XgFD-C^@T$B0HOK_RVmg=Bi++
zAWR5M4wFhx2f|Rb<*4*iM+h(VWTz?@1fAadb^rOXU=S6sG-{H|>`ftCG$IBIubUwOA&k{+
zh#P%it#vwW3~V+B&TkV#mXx6y;9+;1wE9HEwvw1;9oY3!*~3%)Z9v)i!BZ1SpJp#U
z+t%8f5G(=Qm!gvBD-+D{s!j(WQ4DMZ!7@l?5DJ0Vrcg}ieXw2E1~(;SZBx$^pxZ7Efq0=2N@rBi5AY=n$O6MSh=A#w62L|vfCNKgCDN2XI8N#L
zpHm9R1p#;%;E#ZtxVRbP14MW^aXYDcA4I--GEL!O251OpGMIiALXTs7u6!Awf(`Hx
z5eC4H3cfKx;j@i+<%8XXM6l9}*{!R~qu~PiR=G*1v^3>7Irra
z32gi7;(l-ulo*A_fSU{n+K=6_?}g(yLiI2RcRW-UNH#4&NFD1LA*aG?W|0
zi3K^`eCG*s$3x6>(vib452BFtoSKEZ`Oq!VArmCqoS0UdnLi@a$-Wdqr?X5eMJ<%r9{0ivnnCCPGawPPmm%v(Me&K+%v0ZqmJ7O`OMoJSAR$OPhIC$jTfeHW`dH_Vs#isZ
zAe>88FT%M0-Z^#uTgKJdkK=27eWmVHy*ClUre)zdjeghD3{E8dqDrFZE34Is+lN>C
z`m4F&2I`E+cY0@40BobjNyDnGO99_Gc8nqNB)liW>@9trBucjnb=j4Vdx*VO&ef`BfZ%t&!KALS
ziSL|2Qls&nWni9q*WN`ipDW*4jvm#h8=2cLR>M*WZi*~2YIFSyX&7}CDjG+MHk#Up
z8BI@${&aF(W^_e&R;M=BFHXALlx!6DB@s5*^@y+Ij$s#i
z7!t&bEDMSJUIcN9jjLV$PmJ88!k`O#*A@A+R%g(9x3sz7aW!F~mHv0b{nh&WW*o`X
zLP%mO^9J1+Qza8pcqs%T__GJ`yZPX0XR|}kXk(ACFjgqmMHgBl?0GLEHY~x<>QDwz
z%h^^}~Yk8WiTr6zE3(1sh1XQLi1Yy=hQlr(wV*ci_gNJ>R5DyH-Dz)WcfYO7&?$
z<9g%U=vdq67*475URbg@;VN<#tQ`V!|9N@)X4YHpenMcMrg)R{2n_BOyDxLSF}kzEbOL`Y-&nsuzN^BHkupB02d6l4|#3?INjxtRcFk`Z@3
zatM-SOioav6fye~#GZt4$2?pa+v^ea8l3p1gpa)N^nzTg-=C16<`z$f$RYdKd81qw
z;Ys3X8a<9#2LWl^w~w_TcWc|JO(8Y*y+M4HWqZ$HcIFcwr;~iF6oZijqr&%HBl-yF
zH8k`c6W|&GAxt3%Tu>`4LoC7>z%t#GL;5yO%k!llP7c4i^?Yj}@YJktiy29^bI8)m
zCF$@m)`_Rg3XU5p+pBIW+2q`===`^ayCIsR;
znJ;s#Gh55|XJJX}q?x$DtV6?u+AV466Gx&pqBiYmpmXG;d!!{E-YSN0WC5Z=BI85A
zHf@Mo(GYnIMDYPbbqHLMpFz;}VMsA#sCw+jWc8ysX)g1H`k;k#iBhgj3yOapK0Il|
zn^Rn{;7|mt8lO)VgnJXfCN{8mJX5G!Au|#pPi64_1ZNnAIJeC+BPTC~fV>e57pdT1
z!3crLnW<3iaLbnv9&W@Nx%1kCBkql0&u45(b;d(r*8`9@l|gC-tcksj)JC`*G#$7`
z=6!l`x(@{o=;K3f``W;WlF0IMusi{t2mlwR^MkosmCaF?PZ_Vh(MI}zPj9^KJ;30(W5w
z5ZfFmKc1m(hSA6>5~1)kNp8xqeEX8Zf|C`W_i1oPqC2XRFVYTpYm9(`82}6FI1p0S
zX}Rgy)_eC8wB2tqb-|hW@EScX_xC5daDeG(5j67q!+Xa#qEHW67e)GP?eIDM)8Do=
z!A7$-aPWPww^hgx(<0x4LK^^LGz30#_CoNx&bFN{TgbZieB*wwB0pkS2iw))Tcf$~5~
zR21S~2tBq9EOChepu)L2ddr&)ZBGdyEm(LMCi4322M%(#aDyn7>O=mw?L2P}*28c$BHj&q-pT<-yZVe|R-6J5mA5Q97B)4cI
z!~JiA32I;5%#Y5A-`shF^w#_JaOwwd{8=UO^w&VA+_R|YEGPnjvR!AmhhgxeLL45Y
zgqc5S*@;>G{Eocgj-5UG*Gwo2?hJmq3hca{_VfNR~v2?f8%>6Etc){kVZbSp=Z+2Uw?!&JBL
zOklXM%*+aCtr-ONJH|=V5aPfe#HI3>H>NKsXmXE7>=(fnDc`}tm)iemiySmdPcQQ{
z6>U5=8&|77kxG1jT$wJX$s$v_1?=c`FYipZ+L^!0Z>%Fqed_heZ>0skeFb|kDMCim
zAL$4BPRgej;ZJZ$ETzRyMAOFnH^+$FzrAX4UYM5HF_)N=$6@6*_M+-IV?+&gV6W4(nbX>Zvy+
z)RbnuYhp9jKJR_?WM4H$wu4zjg4{w+E0XCX!o_IE!nLw@UOKI*uXE2!5f`|cS#JN^}Xplb1*
z%(Kjqr4An12w{nE3jcSMI!I{(j3_278Z3kj)b76!`PKQtcLb$UAD42Pbf$K~8oDa|
zLU-ZM(;R%RcXB6=NL-K~nXY9;m2D@|5)|>yPwH=hL=LFv^?VaS#!Ut}tiJ*A8Atx4
zp73sj5y_e)LNO_>Vefe%ArqGwT5$CEWW*q@IM3vWnev1<)B=I*4l{`mA5dtD25p@c
z_j{^zC5>jYZmC+wHB)F?m$MWV7QEvBIBV=arP>9#cl?A+y9xBBbb3#Kn}w
zIG$y@78=pCh>FNHuQ%c!Say;eBmg$a`vLD#@mhYHc
z|N3E++w7zA6$3^NDxL&2^C{w9G5s1Sf#TxIyX2Q^BfHUw@Hp(er=0p8M+4v2uM8_=
zkaxMNd|n%McRPJSug+d`@sTXHlEHp?TMK?XiI=|>Zlk_sZ;vvpN8&zUd|q@Fr%)V=#x?`A`2zv4fRas
zT@pdIKMiTLR{3BrCp9=f^K|%pkL-4zJH2B2r0^eHlFPN
z2#K*mrAg-ms`KYNYU5ysj6t`)u6`aV=y`d0|Jo(c0s@zai?|kO;(WnEo#0^m`J8})!?7L#(12dpLl
zMrf-m0c|#3o>h{j^o4NqNAJBvz7*;G`g4_%cM2B~MuFLZ<6-1b2*MHr;xvg-u$NPR
zbT`6YqFp|$7+H4(Deqz{F|6#V-?JH{NgnV@R{1jG@cw;T{TP6sxqMi(y{;4#Wo745
z4$<+C6%-zSPL>OP{i?eSpF5MC9C3%>jQCb15th|yWhOdWX>#jC+MO}NkE_MZd4hD-
zAdU_!#7J1C1axNw72dqRzdKS$@!h!3n-jE}oWvo*Ws9l0YgpmG6cN3oQZm(k`@5`b
z@A6XGdzFOqiR3ld@AiS`7UVLNcmuFqQ+fRdZXEPE_d(ahW$Xn*T1aow0GV&Q~}K|=7RjSw>Nli{}gSTRqQ8zLEmPJ#Y?voHxB!Z9@PcH{3geA%sI(i&e?e=qF
z7={##=m^^TBEv|HH^|r6^d!~O;j?+tkYb?rjpm^K;Nq8OJ?aUDOC;kXFW(Vdvvv_5+K;uIA`*E$2YY%BwUO;Ly7-Frn}6dEB1cQhvi5
z^mFjWhhOP$8r*_f1Ej@1KI3_axKC*VTdzMLng{}IzwkKboCKOwII+PxK+X9!;UOEtRC_MPSys^h!I4uS6-X
z2jDCD6wHC77C@@r1o_R7)X}I1sH|^{&4krdHhRW;6d0EQWrm0GUl2}P24^a*$w^
%nUEG}`c*WEdb&C33sU>A#g~>pM$w
zn)#2Ky3Me(iBTz=I?T|RI3DyRm5kD&80ElJ5b_wQQdJ5JT|(Tb?{YImEh=ZSY+R5;
z^(op@nmtFn;?6yHzE`A_dG5(b{a1tcf%^2S{Hdu%7w+qlMrbM&`a4=lzp5`(eg%0)
zjj9jPpE|(|h#_QRanomM%KZk2*I9%TW|Cl<*N)Nm34+}%9Zwx%yc){EA!ZauI%hQd
z2nm*}fej}bFdpWPfgEJhOia>-#F7TjDiA@U0{>l6Z+di$1Xp&+xYQQ}%Rf=(TGkvG
z_@-AHSM^=kNZEWWp7!{zLsOms%P)F@;*h2~P77ioi0@NO$0TWnkp26}P=_2@3ULF~
zZP0K0pIAqWMc2i_p1U&UjVk8#2OJOOD4S)J0WsLR_tdEWGuKyULt-6Hn+@#?PdCxn
zl+wDcG{vz$^rwg5b7y?}5Lx3_W$JID8Xj@RjPauB(bPxvHl5M|*=6ffOJ}K3#yh7m
zOrk(Ly?9@4y-9lNPC;a6+Nk@Kpn>^!7)TmxXbBL0KL)!}&_F%p>H&!_+#;zDsWAaE
zM^k=zTh#OLk?s4Wm54vZD3QqLZ{?KzLV3;H)BKwXMRPc5kqWk{AEHu-=hZ0~^{yy-P8EnK#9kF|JI5%fUleAKI2lyBU!V!e
zKhB34@Q}569MX?9-YZkKR2P`cGK)-}?j-$Z?KW>L&->*-`?N~Dkv1QV;?l{1YDmM@
zXXdCBbDi0a2h<$d9D0m1@g2DNQM>qSZTl9w?wwWRMH5HIZ3&L%$)bMvKEbiR6L)%_
zL!u3$)3%T)2Gg6Erw%2xcpH^95UbPD&ywQm>h!|Y8u_a1I3+i=J<3i;wcJMAFrPl>$6hW!u`%=
zY-RW*+rny{O>UWGwsvmv$1bwrNsR>0YKcEl$Um)WwovvA`jn%5l0$uKv|EfCxoXR3
z{8vy?-0jF&WO>v0w6W%O`5YBL>(kwIfur@YU@q1N>M1gEDqU(x)B*bHRrV5-_lefh
zCJ}>NJJR`*2%_)|z0fj2KqPs4hM!nWKed>83b%B>qqEWgdoU(HB9&d%B21fkafs~;YDH!
zzl-y9_hzMNtAQrA#P%JT>$lHqCO&rGh_t2ieKQ<|u2F4^T}nIPq*0UZwLv;zFHoKc
zjHbFSm_bzSd!s{TV*P=)#v6-IbY^g@=lEasOTCbgx3?`qC6l_7;>rQvIhSEOvgpoLrGjbd%C1Ql_q=K+FSJv01r
z-_>Q$K%S||O*;S(3KhR73s%mcfb_bEe?yYp>^9Rak2E|Y7X$$7@U=LG;eO8q!361yB*
z^zaau^$)Iiu8MWDUqc8H#OauLe0{e>ZR4v|>B)~D8@&CMn?Jq3Jsn)x@xJ2B-PJ+{
z8@r7Ym{&7WTHA-OL*2{*xX1P3k90FLP+VdrJd$*qV*>FcQ2#p*{ZAs@L?#{bmSmfi
z|NPU|4*dLe-&aHGnYCb+Y3CEY$lFDaqaREnqzIEK{<+7L2%%o*Hq8zPyg7r6kTII8
z4~;M`w^PrAy5)DGV>yJPXFEJO%PU#dV+;C_V=y2D1Krb^+AaYUjqXkf%@MVOEn7I_
znvKTRMX&u7ZV*OHz<}h<%(slY*uzMo37AO2>KekOGq+3efo_X`XjG0U%K2pPH2*BW%Pro$x~RIHb-x7Za>d{CGGsi`eNza3O<{w@sS?ozdV7SkC=QorR^QV7+9=<
z=13m~R=GYEFt_E;TTL_PO3i!DENLWho&J5aUc6x3b8Qo6*5mN9=#qQh{2iq9=ogd-
zKwHBh09%SBe(s^K%kNOmW-@=XU#XWYxyQhC*7{?YVEZJlLxFwP#$G0HI}+IXi_~Rk
z7<3HrpMo>=fHdMBy>Bl1sxAv*A}cchaCzUn-+T#ipMCE^y-usX1Yv%+P6S9R;Xgi6
zkHi55@3!vF)VG2!3KE+`Jw)zE4|7NLgkrFtw6zXgX7vCj(;PS;+p>5*8T#QH+A{4k
zXDeEwy32rB4-a}1H+T!i$yyq4_Xzb#x!AL7B=}1X{dG`1V
z50a0YY(o;
z>J?-Bq_OtU-^%YXw?9&5p6u3ny@qFR0RXZ1x1}JNb@AD)0$B>@`<(ej$vE8OEVSH)43}J&)0;bx
zv+#nrbj>7cOkez-4#9#)3)A0PpE*33^G6pgq1JHu;k6VUo`h=w%-?b3x$U_aeyIMA
zxHE(Kwu&de;n|!9Ngz`aU}dyzt1iD39R1wv#GsKraV7D_+e`w-QY7I$n-V^`JH~vk
zn&@Qi2~J%($7UMrzA7<%^yIh9?#<`o?a;i*f24CWzS3wko0BQ=Uu4vSlF1Ft)g&*q
zzo50R@V}``d9}N1r2$qjgz07a%h0xFEGsYqHzE)tNRQLsOLo_%`!tK@+xe-0~Q8rBbU<#Ce(`
z;5lxhS!XIOySXbdz`ELQKw7E(A}~5A^cWg`5DFB;zs<%~yKyIY2OcWEZ!|tx
zLSs*2LyH@X{#bsVz4<8?<)0=xa>3x(#qWO>haVDB7<>qB?oS`BZOI|0n#{L_0uCGk@Y*qrp?QHG2Edc$S)?CYootAFmRyI^w_aIKN
zWqr)e%D!JB)zv&?P>qbh1=&BAqr$h$duZ-$4upxECAlD;7@t2YrF{=V^HIsOI
z#cvAMQyj(WJ6q%R7uGcjNdI6Z9I|`yyemERi%8YQjh&SSw2(dUL5@EQxIk)kx_Y~A
zn`G%GkOWo+N^`4wl@2UH6tPk}S_>pKa^t9YgMXPtg|e5fZatg)`Q}3!!9eMe!50s1XbY7OJ?1H%A3MiiC(ih|Gu
zJmwKVaxsFW(vn{N{*VjpyY`kt&^~JRiIn2#o6y-tgNMJAe^GBe3dhD2WI14ADpr+B
zlE5hxX29Fq6$GdOJR;0B2BJNtlqv^#e1eWi&DwHWPD&9c^{Kt?%Ek+;kC!)pcWr!S
zXJk|BhNZO2m#9u1Utr|>sH0hii3NrI*yAF(;8wX-etM!SnmVX==al4QO1xjzv-rD_
zC;wVZhdlO8sIoe@QJ@@o`HS6w1Q9z+M+9C)kPp<%juu6@COhCmT&pwGJ*Vbf
zjK)xOJJo@p#&Y5rDqEi%^zQwwE4#AAlwDa*?=scbIU_-VYf+fBEtPwtU-eks`yJ^%
zHK$q=6Ht^)QQ9+brsQI?Q{}>W@8%t=e5tKtaeI)eV>8l0Hs@bNUWxBfeJB?DfV+W5
zbJSvD-f#2{MJuJ_gT#idaHP|$9~QOH*Qa>EFQoTIi?QzP5&b_yUspGOef)1cD01+>
z@y`L{(3nePX`5+;sd!BZruHbYI?00*ymZ4Ibw?msoZmPB$`j3&rgvgGUUSk)JD+NM
zl|KE0q?QzjGQ)n)Y(<4SRswCQ>0!yiDvkCiK(l}_M(87yirSx(>&Wxm9_=9#@?Z-`
z+Rwvl{0BXATOv{VaHk;q-`B=cy@s>wwn|iwt^+5=)Tn>^IJQB&&;pc{htqRwHSGKC
zMs+9AY_KZa3my&t{&b)Rau{-vpHx*~W$i|T_!H)m;&by)F)j}=9d;QHNHqG<^vVIi
z0z%Iie;H!#`h}AlW|E59A%W5VE)_cb1peX~7LWZ^xM`s`j9Iz~x?9`12?u-MDBQmMBgSoGprerCRirhHk}__{kO5E{({cLm%qS
z3b7XlA6Ix!?JZVjBbs=uem5H|C7TJ=C6T3EGx_F!0~ef@jy=85W^UY%%8@=;WRvTM
z2J}nQWXC`<4ecP*kx>akA3F1(xaa(+iK6|8hdT%0;;C+>cWN5s3~nx?g5h>injIk5
zO7*&HfE&75YhUq)XZ!4#dI7=Vx*eLE-_Amnk>r6nJNhbH`Y@d9Q+HcFJ@ILc(u8Px
z%~%fXHBH~gO&;Hbmh>Nef^ug<9qm$b$bKNymxPb(Wu-dJN{gG9pD6s@n1T*t98p9i
zrujHI=LUwc<3OV?vCY1=OYR1qm)Uos?yeIj_q+OWE=AQE1h_LpP+LFgJLEX{_-hvjXWQfX?Fr4kd&8W$fN-J<>R6Zw+(gt|MbI3Q@`CN
zpj1USxp3ofDffvvC1A
z3B+!ImKFzMNxlD6BiKv;SX<7tqJwShT(xS|UFhQv4O+-(NNZ0x41@%{DRQ>cJQ!di
zq3%aUBDHUF&o?b-9gMpBCI|cm2x+?dq?lMkfRf`p=RU`TpdlezQMb=-55EEV4g&W=6m>ST8B=^6L0sn1eVH2~V93RWexsUQ{GTGP#tl>IV-=8zE#zO2xp4hz8@d%s-GSgKfP_YBv>E2p?&Qsxne{cb0LdqFRNj6CO1t
z48Au0@a8cb+6^7Q`5s|!ZIu}5_A&8>&nu_Ak$dafFr(EfuQ#)rtv`lRm9Sn??g!zo
z02=D>DfNMEU1a(8sLlIl6mN57`UoggF1
zW^x}d3AUYhs{BellK5Do=AqBeC&?e8?T8yKqZWzwr)1{XlB}5akkG(@-qG}IHVPm}
zD51`FAAHy4p~kW1s>mcaYQ=iMJw
zcGs$|xKH2@l8`_g)HHsb{LPZ^l9w*=Py|&$UxX#oR~36f@cm8j>XT2OGUw`oBP#=jAXb!!C|g?9Td`{oGB~$J
zcyNF!?%vNi#JYh8TGG`#-20Z=w)|*4vAXi~^k%jzp5oThg9X5|nGS??MKTZchUuzP
zJTi&IGIU#k(xnPdVC{UN)nT*4PyNvssV|vMk|#54L+fYg|q1;tWbPW
zDz6y5hwRCUJ|Knm7ylMT>^K0v5Zv{iKm{)KEc0=dQ{K6JJdd1du}RgL;HVh(O6;bo
z#qdBeB$PSi*)TOcaPZywEQKVgl{;YPcL-rdO*19?P@xzC+owHC2}}8TitJX5a)8UD
zUlY|D(`yPID-*~vH>ghep~k2Sm&0i0-^
zYDf|;=50kf*uP?;(oLTHCHUKurvFVit2NVCY0iCE^oUPRB6C>TBkO?X)@NHt3Vkf)
zI?U?<$eZC}b%H=EMM|B;Q5T7G1V7n{U~L5hA71V
zvWBS$XK8aVNgmY)iO)y<6#f;ia
zdVdf^7t*_jQ>_*Q$U)dXiELFAMSDfCHJ3u5K`|4GfaZC_tM*@f$Q(R8f?P+{zWQ(_
z|Jc}8hwgDoV%m}^RUJ;bgHBZ&ZaaFSTST6_YR7rH1Umgr2i4P++sM
zjzM=;K|m7-xxp%-!L%Osa>n*LE?+rFxatK9Z(hrTx?QqM^4Fq)$)t3ZQS$vxe#I&8
z?~!6om20(F=wmpzYLvPa8;r+nQtzULw=eM(X#24&wvQoSUNoaHEJWOU<E}2;_TpP`;9c
zA*r|usodNQYp9mh(D3fp>7VXVt)q0fBVMk*ysuZ14-9~Sm{2>~>$N1#MJ0y}QtD0$
z^~7Haaf1Dpz<=ks7q*|Q*zh*>66DRsHP!K1*Qx-+3p0mGQ#tKwv8rL*AG!rT42N!+
z5JGj2;l%#Bh*GW1_i#Gr;<07A8Km5CZ(JWc+kc6|d_@9JMQ1Wgm;RTpR7?3;cyR1T$cThuVeXLRER)KatU+9khNa_~ptVFm2-ob!ql
zAI&I4s+dYNkMfZ2Ydz&r_JoR`=Am3mU4=z9t@-%xLzQP5rhLkG@l-kKEF(mmU&bAdW5fG>@yn9D;%%(ke
zwb8YH)aF_^YNrI??VRs-^*?T2J$SDRNTj8oBC@escHjY(-nbN
zJ4w9{3~UIrDXB6ZF2qz65Gc@bCChh%FofZoAf8+<=|Ku-B8j7wOO7{t<~qP{%akk+
zbLM}Jp?MV)J31j^c+%D&B^!H>!C*Udj}{;n+S#5WzK&{;K_@5q_tN-xmM7Zi?&U38
zx&gUU=r_!IY)jLFamwZKi!a2j3{{o>4*kFv!`bj_Zp%;P8$g&5aoeSf3KgWHnLlI<
z@jSM*8bej<S@U&ZT3y$dNZoq
z9X>i&+y~2(9tPwa_!D{TH0PYzSunu_B)s5^ENuR<6!IeFV*H^x~l;@miT>AZ@J}Kg@$BvEG`xr~u$n+`Md2errE0^fg`
z^`b#y>dC6D>wvpj_KX4IvVZ`W?ipvRVY!9{4Htc{Py>fgD6y?A1TPGQUTOZ?xqKQ=
z$TMz1ZTi1xX*Ot!eIXX0w$&+lub#__(AV>}@@d->=CM5>)k8Hfd@BRAs`nirEP<5E#
zfGtEjF-Iry`CVO(uE&x#6MR8i|6^Z^U2euRl5*OQCj)Xq(4{GS)9WL{d^tx@TWTwN
z^jyBPSylV14ck;U5ufs6Rf|a=6ZI8K{i6J;%u`Ex8wuy`
z#F4=yKt44)Ea4-{)t<(YxAAfI0ljQ;OdclRk6WzH{%r3W?I&W|+#mL@RGNEZedFgdiQ9a0LG@@sMEzyEQ=(m9UKY6tqlvtNaCXGr
zap{iS`z%K`)ttXHs=Vb;?8K`EL-zMLs7^~R1C3N=C~
zT!K9{r)nEh-&qK847^?U;L4B9vA~Qmn>WV}E?+tHpW#qdv%KsZt<_nndn8&}81psCwDoR9FIy6CeK)j
zkv;MRIi{6k7zY-Zr>1SzD6jd9=7WeyO2BaA9eapTr-0x{Q!8d)en%z>eTh{g_+Mcc
zWPei|_9Zp_x;4UAF{ucZ5#ThfJ_IgOY>M+htT>FY%q0UqeLIzJgIz&Ei~Q{yPxQ|;ub
zmOcE}u|-7RgVMkiGc{Af7Qw-mLVkXt-ofzIPg6Uf(0g_K3>#$AxkRo1t)v3i%!X)6j{R^1x+
z=;bk4c-0h@H3LOo{|jc2k22q|D9*M~wsbce4+j%q|HzcYvU_Ova~&#Ky)T;W1GOD!A%WY7#LXc<*RWPmVMoWQ{o%hPhna7SdO|<9xVV
zg;o6jN7*sQ(v%N?*N>*_Ju`O#ku0L*vxsg+Y>@6`+a~m!X{wDLyU1p1pYmM`zu8T*4ADsnB;%rLe=1PLP+8N3Yi%Ov*$b#6
z)-w-uJ_&?Ra$M9A0K#yT_XuWFU}E97^DRQ94zDRsVSY&~S(p$RZ@-C)s+G2E5((h2
zmyS`p0eAlaX&``YU!4KqB~V)esl&9zxB5&H;q(!IE?=xa+mf^T#*=6*qBY%S6
znWq8Z8%lx%&Y#WP=*fe2vP!u<4{%I2v?MF4`sziqees^v?(Nf6S*jop#$A`nOuL-z
zsV8FwA2co}4A_FC*E%7JbobGRW>M$(LE2qt`~liTZT3(BGt?%H=j}@Df8nx1x!C8E
zIYcO8ve8svnpcJp)hyy%&%Adfsu^w(5B4^LtCV_6
z8xLQ#gwHG%XJRqid%c-@&*W`^xX}HSvvfpm0VfhYd7UbWl&DpxW);C`j~ZhM&{xBT-PF0Y5v2wuuA}_Y@a(W96~wo}!h<
z)o-s4hWC{6x#k>zC2Q2q1mEyA)|3aX{Br(LZxi?HrBaM%ApCroVpj-?w2T*aiSLy4
z@^?(o-dl9#^QTCFAC-wl#*2w4J6o#A-eDS84p(1b(#~fN0|4esT&f0I
zplIZIfr8~L)4$hApJ}jjd%?S8Ng@+d2B-smb;{YUMCs^Kur_wi4q(ucd;K$;E#q>`
zO5^}r+W#m!C8q_3P|_pBE>4a7;HcO?XBtJkA<>I!t*&Ld9ZQ=6}03yN<7_6BI8
zq`t6Frfiki7(2$@?&rKOa6uga_(c@wqS9XT@Zgcvw0EjUFCLyI8naq+mKF_AQF!j<
z7-Eigs%x75EO%_94Hl
zH%V^b!0tav9v7O|O6^}huP0FoUwoR!g~rJ$TC~|(3mKQ+Xz1)PS|nzhN7j^=4{qB$
z@g48%A+(K5QqV;gsv9F)_a5*=c$e~0vtP|aKZEQ-{gi!M9WZ)Ne!rJZsViUtJnSPq
z&#cm--VA*PGFrFMLI3yo6)(**SUr(TcFD8t*5g{y1Vg)YT51!RB$L1@qLhqZ)<|E0
zMLJ5vJ*2g@#+KYpkIeSmt+J&|Q>(p@BxxTt=4*erLVV=^1^``Iyqto``@^j$S*<5=%yM^I54@%n)h2a{k^81b-yQ
z2AU!7)RARNX%%OVQYFpSfX)#3s+jNT|6AiCL&Pg9%r*;Byt!Z$&jo&(0WkTfQV&vbEt8&;CZ5k%dNJUAFr5YA>
z403@UTxAQi_DfaZ1Y4+4{6h+RgC_?NV1T<#{*{Hw=zz`lSDA$!gH$xr--0@(rMsR-
zu}MsS^W0uglc`dVGn3rG+%~Ru^c}@IUfww(;F))Lg>FMfK>$@lxgBq>4X*BLP}0D6
zOlK<;i(_OY(LMtuXr7$xpPqO(VmCcc}Z_D;RbaSgia(u
zAJ>CSJr+)QdMzDE+fWtRTcx;Ajt7)@@U=eguv5K!ImR@GZ)Jc{y=yZk6%7A8?;mf)
zgYdJgKG*s28HgJm57kSkJtCx1YFAzZy6;!@Ci={@5Z^bt$99yj86X0MUbcI8nODBN
z*J@)07}*xv}g-CO-C+@+;aq?F&n{Aj-4LI0|Aml*hyUvpU>-d
z>5!3|F{i^~S(4>ETN|1TO(?RK1ty~uVMNI1kGv6D1XiF=2Q2_1q)oNrl1MHs6QaP8
z=Cb$r3Gia37)_KRqY(=L8XF;bK4Mb!EzBTd(ozeZW{Q@T16^G8q6?U(p4^;wlsT#^
z?+_wm%g1a2Ap->I`?E4Y5<$kbMXQ-aNWEcaqJ>v=#_r}LVB%JP(HxGRwo1`h62bP*
z7j@B~3QYVLQ*@BqOBzS79CBUw9_6DhZN_+13Lusrr~+o`oHv=^bDo0k_YyJyY2z0O=&_
z3f@|m71@Io
zR69PE9TMv{yutvMaiiu#fQ70geVTnM)g-!McH`cm9(kU?z&;MkXTk3~97<6?G=lLM
zII2N&TUOI+XVA6%&l3--YZ&$(6#})5kuH}-TP=t$fof-6`gO{N)1==JK|9!v;YC_;d
zNIUDps&Nd5YLpDl7AEX-yx~7_-qy-xUtpp7p<9yktdq{E$W0bo1;@cf)NBi?Nl)pG
zI3AMrqey0rgko~1P5AO9L-N>M8D=8U@Ec=fyUliN(eJudGs(U{x(f>|M`>SJ$cpYT
z+j5xW6be4lW;ZLG*D|Z#`&QG@bgxr>dug`F^`fk^r#(@Zjfr#Wob9nF@un|Tak2D0
zk?Q6F6nhZsFW7wJ=sQ<{6+m!zRiMlIG`lKX*k;(iTvM#=PTs~XR2R5uS1s)Wv9O0E
zwMU;IZiEr>6MOCT_RH82>qweZy667=`-5eH3G*~8yBPMJS*0O|bj+OB@h(B(ApP>W
z)#4vYs$O+Cll?%JG>LpC1Rz9y0AvqAwQGRvO|N77uYY%ZRlH|n%_l&hKFyN84?V0~
ztEInR*_`-@UbEl-n%3}0C0$)Pax{MS*}cYNhd`}5!TpLUWM4gj$1?$%GEn)!RNG-6
z)@xX+DD3)gLpk$hsVbV5E`!KnD>?p0XA!OUq^lPvPMYT&+JXD>&{;ofPHBi?D07FX
zK*xm^GI5`B{pJ-1M!h=a0V)w+2P$6(tz|gMW7OZCA*#!NQU}qbO1%6_8?|Zx(>fk<
zy(zTJcPh6}W0EAku2Ncku4Tgxn<-XjNtxkl`dJe)_2D|kpeRnnwr%+`UwIGx!1#cW
z-THlq(J#Wjz-vMgqnIRizQt?j2>oTkrC21A{$E<$WqjW
zZngaUM=ogv|`CPOA&^~#>|tf(Ya_f<1^WFijBodjVvTa0t0|#OGuJ7B#3L+5MA)cI5i1<
zbXyrqL#%g|kdT{xZBb@^R+Uw9R^XAPpJ@l2|C{`9;`S^#VypOn>jIAd9e346T0;IY`+Ka_jA%Z`RnwU{3AeW?Ud$vD{_9xYVk-o@Iz@Xgu+4@X!u|4$$TeTe5nQx5})=Dv1n
zZT?%FX3pcfZvE*z9&`{aX9!a0*ElqoMSkrl`l9>)&
zLDrv@RQ}7{SO4hTy*&j*AfEk)uJ)X2e51KGwmNx|B|A0wj6uYiS9`gk{SxkX?@O0#
zXYD!lLR!X+7z4t`hM@iOlN?yLgFJttvhnRHg*Fx6T1JoQ3hZmxnBjO-4jCtmy;a|-
zy^fU?xXJDg5lhTSkqFh9E-ey&K7`#nPC5PSIa(>Y=6UtPrZof~2U1)k$XJtQ+MXD8
zTA2ZJlo~c(*Hp?V+2uC6UqPVM!NQ_n;2TfMh)C8YmfEL!#sk!eG!NqRPG<+uu0Ss0
zHO0E1yXU6r4znK}dYqGrV1;b5N;e$vBjOmK+XuMn;nr;Y_1wNE_LP(A#!K?20@?R0
zkxQSn;2^X(oPa4-_hTQ4?I;W3;16k`&NL6)vKcdYD|OuecJYrVT>!F!CKFw=-J`{M
zO9JNGl!T7@X<+tAbcmE$l-){zOHM|9xL_A{T&M_+a;I7#5$A9pMs|InvFcZO4^7x!FLgw
zbk?hh*}vn}v208fxv$9q>qjh4V4#ol|JfY5se9<-sZjKby>2!j=z7~
zk!T>$Y;Ntb9k2De`0d0UcOM$VeXHV@GD1fK?1(vEcIAs!6Rt#AWNx6e3-Zc+hoVZd&`w#-A!<{+Yn)kR+~^U_PMD<23Jx
zdLsPRNENzS5T;nFzDzq4r5-;g3%DK%{GjeY01*0G-;ZBf@(<3^)^Z#ucB~_0`%o5R
zh5HTqU;yhby;+h}y9p9-GgJVivSAW}r$uQu3lb#Ws8R>A-JkCi$B?&RBLT+yQaM(G
z9x)`%CJV!Z?K~Oq8MJ9qFYU;U@OsgmwLM}$-{#ow4TO2aXf-uQ**4q!`uLT7MViTN
z=23iu1Arq49pep;qP~V7hQ1In-1PT
zBfYC*Wu`sM?xt4-lK~tp7#OR4XCP+t)|e7Jm`t&W#r;Yr`Jc{ixe;|HWfVzXiP0ql
zXm#Ow%QmiJf5l#uc(&E(6!MHd{)YedG#EL|-N~?ZM1}PO9km0##Z!2pH|pM&Od1Di
zJV4{_)tcKB?R$17z7HcVb<0q5TQ=>*13+jdF@zKXRcUl0Lh&JqUwV}awzMBi0!CZy
z)imeg5k@=5+j6!)wDx{X&(Ql(OUB)!^lxj$d*|u2mnLSr38`ZKoUp-ygf_-roL3YBuL`JiDsUclwsWuaIV44*{`nG?{td=K&Aaz
zg%^lyff7LQYw2N0aEQHSu<+D_KGC~d!^wl=gE6;9oENdFPu(jD%kZZQBXIlOE^bbo
zR~!sL>lJ5%T`hpplNh51yrE{N^ex3(fCn^lH6U}p|KfdokQp>#539;9TX5NFMZS}q
z7Vde3+UMOq;3X9=#JusL%8g8>#tZ$|5=Z+0QpZ6L*k><&qh`VUVe&WSc1a^DCVAV1
zhZFNdTBpmh6GmECQY3@(Y6~uB$Py-tPnELSK4FqgM>2?7)HT11K%8-
z+Q6c{SFfBp>SW4WQ&?05VlcV&eFOAc
zD#rkcTTgcvPwQxz{+PD+&uyASca11dl86UmxaSvzhsikGmUs6pzCG>rM
z1bh%4ClU!>m(`6J*Kb+~{y0fQ-hOn>^n2(tgr<}9YH$n>(g^==mqDyK?I)k--}kUbVuEmA?7JA(?i?%H(pf2zcbw4_2^nVRbw?dE3B
z^&o&SgCf{IHG99^`-i;KkyD)R-#VapWXb_eBzPR>(%T7w-Z%wB|pu1z1Dc*!OG!VC*MfD
zSsyy_aP8);)BokX+4ykc(Z;7+XE&upfRs2qX57M-%@simlK80D7VcKm9NZ;IfNgF`
z+t$=n>ujHm|J;(X-OC>S{J7raMoX6IZ1L;J>6`Yzhpb@NIS(A9V$@8O8k{mX^qi}Zb
z@}+L^YP7%NO2o|-k=aYh5zEPnw6C8e6Uw7IMt&T-E4^rx(56@OZ}8f#SzcVl{Z0t=
zC%4=zH00^YH!p8m-ImS#4;5Nb-qh#F|79CR6yNVTSUdOFoj7QhWm&@g5aXbE#^0c)
zZ%Fpa)0*hX^Yqr1oCl8#9;!dxQXF$dZ5O5Sj2}2T@ayrXws!+|W%Xvu
z#MXA@zgoO39qT2@x@_|6Q;E@l<@|C-B2Ec#auBzI5kelz)Rr-$YP3;vbe&CUP|lUtQKukwa4D7&Tn0%hio
z;@Qlc!*1Wt9z9*`IC~efSMKGzc0Yq0_l>s5hhML0LDFQ;TGCxaU99s_O^FtKvrDgerEN>@Q0E?-}j!Kp5$1{orH}s-{a2K9Y}pv13T5v-De%>
zx}I|6qI^(KEIrAGZ)I1Y
zcUF5Rp$ATH>hy?9%4)Z>IdsBj*bn>FA@6;9?sG=wz5IlO&GUhC(})Q6;HA@(C8LO_y2Q&JxC_IQ6;%!@@0>0_{aPkTz2YEO
zQsrCj(P`-1QKZB7^lgE>JFt1>h1Ss;rrRZ@ijlG_&8Fe!tiw{>}Ru~ovNi?En%c*iL_VY~X=eq?O*J^$4)k)DS
zRIl$c4ZseSUf7*fD07>=woWPkUN`XTYRuPa=@;ofU9~0|mX{kY;EBeI&kc`!uW~BK
z#0OkZLDpfiE}wwieFmw+(r>s&ZjfoKZYw)jKa;4ooCVfRszXa1
z{$Lm$RccjIovv)zH+cQN-zK*-8FTf6w#!T*Df!aMiR-EXDMye8rc+C+x~|=RaqS4F
z@xaVgvRwWBa?G+X{UI`r{X)54A6th6ilWeQ1@7W%H=C-)4_Y^Y$RoZ=CkCA(wXzQ;
zP;bEIBm>1!RT6|(RysG-bZh%H#_dbT%EAQpjiLk$l>})ExK313c^q&{$Fl;yD{HMh
z=wkp{oZcv-N$x?PwwtT9ZA@7zFMH6~Drt~~QpPl8-w-a|dOV?fvE$l)$j$V@*0wnb
zut76HrS0xeaJ@2S8yd1p`%0B#ecatPwF&|~v}JThlao)IQV2p^sYyPWv`4><t|yVDJ~JU1bmeJvi*Slj4Jjeef3aqX}WNxy2so`bs*m+yG;4@Vi8TIu@K
ztWu^wr~!l>L5~S9{8O68S`U9TR6OW8Ki`56sk+!__~~b(G{|{oyAM?Fi6Lq>ikCsRm!q60043x4zVxjzWwoTb9O_|ugr_lmPaDx|E6?7O(6zh
z=pSz@&eq?R{(7&4+%29b9{zQ$7;$@-^8?F}+y7=BBxg4luC+ItK2%ewd3yBle;H*m
z_po6n(R)YZ25RE9@tYXdj|VL|{!g+Vxt2s2;U2vcPYuttT#JS{Ur%}Us~g^QX!uv>
zgnyFR#XBO0&|i^vp>vXUEpdUcge&1C6zE;$S!(TFi;mwHJlXfREnM4n46=7s;$<|n
z9&W?Z?w)*J=8Ej;j?6Q!^lT<~&3#il-S?om(}EaqiTs>z&#yw#(8#J@l1uTM6gLCI
z)Mw5Y@47TvzI<5g)DxL?3-(1o4Xl-F0S-l1cG~GU&nl0*UslfmStdvL>#n&SQsU3VT0
zeb2s(T|x*U^_f*;ZAf-CmV_uI*{ZQ-s}NEogea9trBZ(Lz3<=oopYc2{LYy_X8xP^
zbu(}(cdMFKIxe|q!YU-BJo
zJj$*aNl@yj;vQBBYW&pedVD9cI+@Kbe-_sU5!Rdtcpi7@u~1L;9nPaa*6;b2YTA*^
z<}3RU&enTgaq4(0WHG&lkc;-`#5!~%z<=ta0RMbwg};q^^r*6z&9mtK#p9sY|HYublh9|I
zz%$KxD^EJ5C5Gqu92%1veeT|C&lP$&vGl|N;0juT%Pxp`yzUA*ctf*p?n>%*n9yig
zwD|Q`NS=t=K?!_g&jKir%)vU)<4=cYQu&KG4Uqc5uS_Uw_HvNBGV{ao!i
zy9RH4hTohjN%HDq^UbjMKlzCL5}6Mcn>h4t;gP*$be``jn}<$>JYTPS6C=bev3cVD
z5*MhAmw)Qg(%blxtMC=@G3H&zhgfwwI6-ggtmh^;Gwbja+cRyL&ijAGked58r-S@ESWkuko_3Uu*
ztc^m?#L>m~n2(8H-?kdPD_wtYOt_t0KEv-n5E{^*V>e?=HI{WdR+Q^QJCvZli}s}+!F81
zM0y#osy-e2#6Nw*q1<~r?>#3fv&7M1aU;86quXM*e`Y48cmLos=#aMk^-B2WQi-pN
zrGT>ao3X2s-?*b6?;BM;$?#_1FVQ)W2)>R!sQX^-{X_bo+i5s$H+N&btnW_ER2Oy3
zx8_?#!>;M|s-#1n9pBEl&U|&4xlg_RnP&V`GIOu^Muq-^y#y%yzb}?|I1j#E)X&V?j_so6`aR>^;+D=aFK44k
zafk3sr>l1bY$m*y?{WYt`BUivUm-IUB7t~A&+@71Jtl46Yzy)>ydU9klV5M@_fP8!FU}0r3&tyjmFQ>@27qJy9upO?CJNS|KxM1fD9-OUSg@+2c#}VMFYAgamzA(-Vss6txyO}t1{-e7)<|y--
zdU>>+?iUMTH}`l;QQyQb9Lg?THQxdXBBI65&cvU1q-IoC9+O9|%|DT%`_)?Emhpx}
z>MNVCHYzn5HmGAyu@RVKwKEBJTCyO#7$7LVQEAnw`)xuVCO%wgDPcpaII|a7Yp?sE
z{p^t3&{hV^cG1O>d1ABoth1Rz#aT3ALnG0}%G573-{O^UyNj**jmdF}%v9oYInD38
zjl!G6v|0t09cGd%w;_U%Ia&$gHNTsJgz0KqJd$M2(zw^sb7WHD}a*=lcDGVyH
zNzE^B?XwE8suFODsYYCPPe`WGVp`|Y
zVw2TXM@W?WFv$QYu}FY0$YP;J{J)Fowr};z0$>Wnl_UyA
zd-L;AycRL^>xT&4PnVQ$maM`j0a6Bq*({)2;t#=*j{JV>fY$|Bg5QHP*8)A$)A2nGw{X5wi4UU-NC$8sFXrU4wB*q*K~2>P)g+KoEIRk>Oo4>CrJ9%oE-!H{q;OkBO}w6+g()F7uFapY__TRB
zNCSj+nIz%Cc-STTP{p8jYmxRZS@c2$Ma^HMBAQ2-sS2T@{>wJbb<-CAL2EDqU#yfI
zU9aA?$X8jYf2=W9P}IYVR)VQ=3$vTtyVt_BjTFWL3$%;tb;EU(Y4&1pP{BZGolf&8
z)}>ppxUx6gK#?}84|gkAQi!0jR5N2d?pA!55l|n%JW=4kQu$2^btK+-&^0Rm+Mh)M
zLz{z9o0DJMSfBf9)rU&Q$x4Z)9s4&`MSf3y-aAtEoEB+$Kjg977@HMmQEzFQCHY_V
z73SCdNSiSEA?!cbvV7ip8~-u!oQ{MXDMf~HV47POO&1YYtK@iLteEmtH|OpCDVHx4
zHGGC!$)awQ+x^w?^J;hN9B-(3V377%f_EEzn==nbNZ4FR;6%A~y|+DY?9pDQP*)?j
z?(9_R(OE=;zT*v7cq8H2o3U205Pd4(uWkO>Pr60_DQZ|UC5A(%XX@xr)cuQJc@7`(
zC-gO_UX0yQb?Sr3R>-^BddZb~?5pNa
zfv}<1pTJ_hD-Ne6fl2sohb(_Ien57v1+F(p?oHJsaHm-h!KM1)IQhQxw`s>Neg8=O
zHx%80sFSF&v>xP_e90S!MFp8EXc
z#Lbk4B(2ZiJzbnqL5$A`?)d*m!q(#tuU%Wung8D;VRiWY`8T&jc^*AHIQVD8wTyRs
zaPAH1f02Y{ADsixfUs;3P43q+g!)aI@joPCm@EzO+B8SokgS~r0anRimR2((_>@v|
zCh)Qvb>)yeGQy2kfbHt8YH
zjQjTwyyt6qN*QX!YDc=?-|ltXwKCqDC};>(SQ?RMjdi@!hhUKx?KSN$-e6X~vK+#uiK
z{`9ENm9LcDQ~dl>h}-OE;RBELf7A-uA_H2-YkGJOs|=zsz%rtr*QnFHPyCzBS93*;
z*$h6#6g#D1#S?=Y{g3=H7FKxxa0I{&rmH>?kiG|Lb6VN@W))+Vlwe`JiJPSBO2w$6
zV48nXJzVJ51#L`QX_vxRWj=*-Ld{c;p9UyzL1wKibXP|`1Pc>ijoH{H2e}81(E0dS
z2QDZv;}P3)6l0*ue8KaxN@c{Cw(yV3HR7g4vk4Fu4z0*$kC<(4Ew$aeomb&`-CL^BCR~efg->eDyc%j(E1A?mT<)q(pToQb^pw#7)3weJ@I=#;wRsP}6
zcH@_$xz7^Z)bcMUCS5aed7s7zg7R~UKv=}5)Ncb!BMh4>b$;MbKWnk9=qA(m`>oRl
z<4>y{lkmSp!Y`cgdX-ZM1^to5qP
zDFA@v4ABE(k5IqH>Bu$^w?t5%pFIG4G$b@A71ESZEw&xT)?!B1G6?#lxl$rR1eoL^
zcOJe7`$pzJcGXHH>oJ$krWyJOks1T2#RjZl8=Upb&epu9!#>Utp@`mQ_AbWx(KS;c08e2um)`T1N4mPL)x-YOH@c
zcp`aZoV+ug?R~Tsci2Wl2YKTvTvh6bxL{`9sW{n_B{y^*n5pZ2Y>|zUtK~N@y(e3M
zGYd1DP(5)XTw+6%upq_DztJ12IT&HuQzbabi)ug|
ze*nM{y&^}jh$=)P00=)wQ2_#QHYq;4>Y)n}7G|a6BtEFa-!TPoONMQAoEa9Vd~LQ%
z;x+|H{9G;;-?eO?-)v!&)S93Px{dX5S&0hjoEbPtz3C!eVUddEA>Fx7rX4XDh!zwOo$9Z@f%YB?Fvq|*ULTX<>k$)bSo%|fm3PV{=C5hAW~
zYx3N*oJswM57$ej#8s5x#(bQpLWoNzL5R11n!u|db<&?fScz)LmUUK0o%JXab*18FaC@QxeZ{f$Z0tc0Tpy
zCt3>wgJ9;<>I+{B4sI*I(kMIbQwNebeFwl%L=a{fqEf81fY7gb
zRlNoAQFrgUAG4O2^SQ@wKnv~AI2%8@D5yTFR|4iFkHOtTyap(5N8Ft3AQC7c^LVC!(;$2_MU}p64`yn^
zx=qPowxUZ%#J;7>apBQR@7*pvZemX8)-698LQ>%Pk@98gM}FumXEsI~N}(&@gP!@f
zgMVyk3~pZVKb5%u@Zght|DWsT7yZNCzny@Tp4yIceRjMA@`x(|N{J4}#+>~dX_Nig
zFX`%@NJu>+*AIEGB64mdpK}0h+NUn$l0$FP2Wf;qMX$H31OdK5JJZioOFOv~ZXc
zsGTz`^?o>do>X+7GHr{0iQLH~
zau@*kIsXR*L1*8dISGVHCq|&eL=40PQNi(2Rr0!C)X%GdE)3~uIKU|*w#Ok`T6l_E
zQ1m#c`DCK!4oy2Us1!yIfyi||Mp-RW@C12r7r<}tlExQkt_9D%WzL7U1cz#^W%!}a
z?i@rw%mK>d0>58Lnt8gX@2x`KCnFU5E|DUWHR~^JfG(gnP`0cKb9K_MlsR9ZRxRY7
zWu7(+-%}3
zVp64)Lv7(HZ2_H#gQX^;qBm3$xEw`7Q0F>PRxH;`lezf-1ifVd&UfD0)EgPjTkG=&
zmnJqZ^E}07V>7u=sGzFx$gW7JISXorgOy^l2Y0|O0POkvMWG+w*AD2~U~BZSoSZ=l
z%D4bs06>=Za?#>?$4QxD-lsmcD(epamxz%fo@6{k@!gx`$>czVbeK0sO~N6ku-Rl1
zI1Y2^I@IS}_%WkR6uezf56HWO&$n(bJOv>^ruDlJzytu4P9j_4cmNU%o=;PqzWR*|
zuoi4(A;RT$pM1sB6lKy`*P!7h-C1DWb9@Va#|CX7DpE)i}cW4vSK<7^ro
zCpX*)wZg)SmR&=C(T*EsZnz7c`DwoTf&y{L)5SwHaHw-6aGq#t5u|KRC0zz467t>h
ztHt?`tyV6R`B2$RD=Y;X5B&!hw4#O>iY1Gzgt;H!Ad4!f7zG>0P&9EB3nf)ZwiXfH
z%a5bU*VpZCsLITDp>8XqZv2FpGqZk(IR1lOH}O*Z*T#g(n!FT&9z{VPD4`6U|Kn>Y
zT+^q1+7caK70Ekw<$7Ys78#~zgo<%SImbaWh&)MHl&zts-mn|=H|jq48fuEd)6Fv8
zDYdVU74y;USHAutiK=w&`dW||z=YklMxA6Mo7iwKY;B`r#G>b^(659oA+*^fQ?Ie+
zs1M!=EE@MCMh`ChGdX0p3*D1a-n5zS&viraM|GcqKH^o7clV8t+B)%BSeMMes*amj
zmjcd>k!Wo9%)AQXN}SL~#bKfxU!fun8qL+yG>?kcTOW~o-<5JK(SIH7gHB19nn5F#
zQT0scrzMmE%;
zd`YTIx`|w=G_Acj{v-U`n&0iL+J!W<7aj=)aUnfP7})InjtXkhFaT+6cz*86sC&=2}juubUzuBVRT7ONrS#YZD{BPQ#4eBE4
z&X^%{qCQ^S_bxZ(Hn1RfIk;F1R4GGNt5KAwP$;=mACcxEeAL6Xb}jih*-2OZ-rUHo
zRM*H4%J?CPh(4sll&)*SY};`%G7RAIBesgkGN0bBmu;bgZ@@_+kZX0t4A;n;39?SHu_5+qvyKYWhkcm?lK
z;qJ5tZyF3k&!189tC`nWwundZ8AvgL8KI#!X
z5LEm#{>XLg@RaIN_ze@s!w#uw2}d5WOy7P#0wbUVd`xKf~_Dq;(*%n
zvGoO&0b|iF-3L8thmUdfTcGcGtDoaUc!kZfWkB}kz5N<~54HBu=eM{VaWHUSLUw8`
zRJH^X|KInY5Q;U_od`Q2Ni>%dmYA(b3>&<6Hrm#{@!MoTVC0D
zq@!<@$ek|a={Ufm9%51V*$|c$lh+02yaPQ`(j{Zu^=splZv;I^r|ews;ORes5Fe;~
zx|3@EV86u34gHa%1skr?+m${es4BjyIM)vrJcE-cSKvZxXufeF)D{c7p^mz=|KQ}#
zSatOEPp|wED=xaYx>hwks^P6M%9K0MZ})Q(Eay}zM4xrZ?tzToljr-Ax=Q!)ec`vu`ZN|AKAfKL
zo`jvTrU3W}RQ?3k;N5I!KyU;fqs$
zK)JUt{dx4Zgxcfh=L2s_O^ivQGk-(9i4YSUJbedpW&}#YWh6L1;&*{*T#C_LhNJxQ
zMdM*<7e&u_pFwZ1qnO}U$sWtTgF{3yxerUA~Ky(BICM^8{~(M_eP
z`RZdi!afQ(2Rno164|3gN5ae4+!4QDK|rv>IM~f*gbaF$lSX?MCF6m*M5=i9xpY*r_2HTcS3DcKsfapqdSY&P$rXR)MogS9$4exE=~x~B#Ut^B
zW{-n};*e+AkQr5<_LmbX7o4K3o(l(AExXRH{*63?9#`R8)X|J-pnu$CZX1or?VL}oCeyK^}>J+Da7;W_d>zHp4Zzu2_ADoq{@lGpT9C|
zKyEz}ThfS{UeWlvf{uR*)`p*L@v_=!>&d8{U}RY=gE*E*XbY@_$aMk*3!OlpYB|#a
z@RZJ-*860)kak}}t4zD!|>V{@^#lb#E!b)h4Jw<8=sOBJF?=%!?lgIK_1q
z%ag{2XB$;J*r5$?b9t6>o3dUEH9d2$pB=PXV)$zS)hjAeiwZ%{J%P@6&0C6CkQ^}T
z$%e+WxB)De4HNd~+v1TQC~zu-gbj9x+j!jTw&brXdThn|>ARo-Sy%tghLQIL_9!9>
z{yY`tji0bPjq1UiKl&FXtjR0_fLMOO1qFNhabc!?eqxD^`>~B}?eT9xMW^R9cShI|
zTTeL-ml5y8IsfO3a>%}iS~(Vc6G(HJgl+MQy2`{?FMZ-^Td4menZ3=`#)8|iDlwhw
zT&)q`_yM`103m@d3V~b(wdv_`1y4mYNr`})Bc>YH+?{N*Z1zpp!Ma>}12
z^#`FQSd=vhoPtA{lRojZ4vVY6Of04frd*5vo@c4*iHbB-MxGD_!Pga3d^;T;7+thkeOBGCxV5CF`5p
zxLQ9z^OvuS?_~u_yfof}Y45;XU}p~T4KDNa0Duqi!*L=kKH#R&qdl>gZ5Q6{0WDnh
z7eaf7+ukgoayjniXReAjzdp(iu>{Jb%V8dIpDrk)>W-t%FGm`jK~3RN7tR@ID+qm%i7V#(a%a6C(RwV}$`_A!q;U5mo6~Vfnoq6w5}vo26{xMor6x^7#fsrq{dJ*{Y$Cmpdg=nW(B0cy3lRC73q
zO$Ni>f0wHmd_Fw?enT%T4~h7QFmP^2H}GDkl^9
zXYArn>Y6%JS%`$%FU!jMo{uu5eSbv1I(cy1Gu3tIb_8J03FOu|HzuqNu)SJOYnL6S
zC+zWVyO*nnY|S?Srk|DmM-aFk8lT}K6Jhx7sI$RFH6
zo1gyvJ>bIOi+p%A*mo6h3FbvRmzXOp$EJ*A~KO;L*6#{650_-;OJ^;=e
z?&LtvBA%fx3b~@+c{nFDc)vO_iA!3l_{W4#PiUOxmgR?b+#(VDpXr*
zWzQO>p@&7?D5_2B_tz3|&zSpT8mgeZf{81`g}f6gtjJ*A@3iQ?Ouh{$R>;`TEi#8T
zU*gg+hq={YN8nOS>^SmR@Y})g;)J`Zf$GEh_)g@C`x&aJi8z8+Q8Z0W_Fu4k9Lt$U
z@t(VzgQc5G(bMUVJa=VgsiwB777UanLcHFIRw2$Ax9v9n;+~m|>hKB?YZD~R?c07=
zx?9p_*PvYoe0_p^CTX3Y8Jh_M41YJ~+0rPc$=E{-O#^?o6R+!Q79OrPtJO_pt!620
zlyD9@&pZ$zNmip;vThwyclM`E>KU$Z2E!8}
zIrIsD`262L_xZ&_4jC6@B9!KJ%RD3?vw<8CLw!Y_UZ6PU7)QTf%kWm}-V_$ADGhIu
zxi+t;{jAN5N3$%Fa_~-6pA7?i<72?fbfl`qJy!FAmUqoFt8#sls}Ef#v?e4rb9B;(
zXRvndf9I*Xa&99zX1x#d@CnbAdgJ<#d7U#ids@JNHd{LKgQl2dn*6}w#}yidBA?uz
z(YqPJYCs)f)3b`}nMu;D@2h>UPLLNk(@f!rIH2YceIe=fxyLHnxdB!Wyj1LkEoEo-
z;CP{MuzeG8>H4LBnX)Kw;pR`J?$tD)-NyRGwln{+v@g#)8luB2HGgvp{dYHs{|$TR
zVarF?u?y*c+&)MCz8v6@!cT*PNb?xEEVIQ}4T)4~+l_O_;bu;LG-`zfFbvPnw6tG2
zO@!+)j`7Cg4ivd}i3m$ZhuciQ{E#mNMkuLN5U!%{O9t_Vl@$0)nkf(fDf6;>jh_>5
zP~}w3P;^6cIiEo#T<<8@+loghZ|&suHnd&sPPawUjZ-?KZyYFI7PER2>Bpr;cbO$x
zUh_3+=)1v}h|+`lpSaQ=4w<>AJ1OHrCwkNe~)_4ZYf
zQ%5YyfaN@&v5@`%ul%jQQ;}!<5SVrYrqVSu;NnhRN=UK3)61|gDr8t;8U#(O+9Ju-
zoS!15YPN7$e=j>T;?$^rnuUocii(VFA-l*VTzW;$cg)bYyVW_Fpt6Oq4_zI*+IK|u
z_JQj4m*H}cMP;-m3u+l|z}8eNrEC(j(USSN>JkK|M3x;NyS2n?CAl{O6gks;mCOfwojohdDp99@2AjAnNyAWtngBdzB(?6^(p~(uQ(IQ;nU>_I?m;uX%
zbn;VuM4KiJ^E0bF?WGupqg9YTyw%XJ7L41JmP;Os)w)Swd|+)Aw-CKbGiZ->U~^AL
zw{kD`M)c6A+7mUKa-T0&o<5sqPnYMyE5q!GDtWh~yt3W=cB@OA$(de#d>$%6R%v9a
zTyzRVhIb9l@zrE4s%)~7t}2d2V`42}9=BM#O5U%w$3h#%W^+~Bk*SiV`4K+b`XHb^
zGRCZe#qF)oha9p)2p27LCaqRQ&rVYKg@awxr0yyNuWs1?+r2?ve_c9PzL!
zzAMSiee7%&y5s85!vOEig~>#Jy6e0=Ps{)YoS$jG9EGi&w2+1eADZlq5b7XOME62?
zyxDyg*x#W^6Lo0IGK+F7H}^r)C@Lbhl@0eOMx7RX{?>8A_TTrBbIgO@s|aOg6(n<~
zKvfQgvu@@lVGuYaFqi&37_d^yQ-TL0)bV6KKY(rCKZ_ny6zj^hMXYQ=b#-pj=K-4HHSHh+1gEKvlrmH|_==o2uQq$%y=S7`u6NIzQ8e1;^A*}B|i
z@bU{DoP$234lOwM@0}Wn9La?4RY&VLsv{AxZ!G2^=}=^LXCAE-@Q45Tlbulr(?581SIo;S*ZPs=Iq`u
zS>skX5cTCVt)c=q+8A#~n?RpFny#?0)Y%%#d5<5~Zjy`W>WcYz7V+&#IHCbtCIUv-
ztI&*00CQo#t4v8w>PN5fJA4}MDVKn?ae%!s#QdpiiE6Q0mj^d}wmIREm)8m+U%8cQ
z^`Wnw>b%v5=tc1ox4QgA1=oUk2e5Rcif`xp>vkeaIhrnhkmdIVZjjO49d4OTB3I01
zjU@pc-IIssN4jM0|`>i>o!f7>Yi
z_vrzTQt{sa8KB4*<_WOwS(<{k78Gca6&45udYfquQ}Atne*SrVaFzVL-Eq^hL%1@-
zD~v~1>mP}Hf!Z=4jlqmV^GbVmiqNz&RkXni`Fp12ctYy&g8DzPjW<0gPBGg;z+>5kWB_Ih(DOSfjD!MG4Wbf%?QzTD
zVHGn;9YxGyjS-KWj>&*XpX!{rMSp$Yhvf_vcZ4mQrphwTTt1e~sP3wk(_S%^9z!01
z=19Al6*v!C4ptVH9UWrSoY?O9^&xNHF0)A-F}uS^Axo;K@P2{t?V5MJn99`KKOC7>
z7aFg0dr$l1TDxw}-B3z?D8(|P#H!)S(EH71@^S{*P{Xps{8Mh2LR&mvxvYNp{M{h>RR~vabOEFn%`eaj0jg8y$&N4qsPrICJO~bAB+}`7Z
z!$f}0vDPIhP=4zQABNl{!S-R;zB6ZNw{)rQXyxOwy9&xBG1M~?)=V3l?k44MpHZH6
zM$SM-N1|OHNwpLsQ6yD71{xuj+7)Ium2Y(+d&XzyVLmABaMlnR3qi~SdVAniTiJmL
z^*2(8gUT<(I-L|BTZR^m_ssy$$gV+)l-PV9QrnpOqOx^aoP
zStheZsHxYWg3obYCVaEV1lPoer)b;os~9!~pUv>up^w@lv`IMuyLWaBscIy!jO=AR
zhW=kR{2i1OY^%bGF1A(UHZ~qFBr0rAJe^0WOeb2tDOG+)nnAR4|gU69l
zYLXCxR$;qLA&#I&V7lCCnP{xEU=_5rBhRT04(#RVH|6@YIQ_*l+MiF~fl#;m
zVIjW!fHg!NC9aBsSWpXBEv_84mjzO&PJ1*HOx-Q*lSY5}i0nSsww}J_=f|$*nVudx
zR^4jyz{pp`iQuO4u}$wbv-}U3WVd(Uhu!!Q1mH(#zI#;Pd3qR3gHuSec19?T-1vAp
z>x&_^W5=}8I!{Uv_M_~IQCFFvCRK8e_K#XT)|TZ>pB0rgHtwIaP%~&aTYlZg;Kf9b
zbq=np%j~lABzd!p(-fy-O+B=8oovks)@g>`>({ZSGEfjX21J`Rf1p(l?y73j+`j)(
z8&c3mH9@?Hk0EP9MU#_MYfis-wd{6f$SpNGb25#$kdExc^==HQGSC>8MY;WXIDh>g;8^#C>xq3BV1pMH5=d}_1BCP~&3jxe0p{8*#
z9}MhI&eXfyDW7?meLX~nL{UzCrUCf$Vg$xEuQ(U768!i&e5RjhyqU3NaHHOQij-Qb
zfB5BS&P@x%>RaU70pmaS%-*u!(DulJo6HAm5K|1mK)?TQj%;;DEp7kggJL_GBjBW`t{OD2UhT+}m>TPe{F(
zF5UU|cNn@TCeH+QH;VxS`{7$HM!I<8-GfbYgZt@>QO;<%j@=jr531J9A#w^YDv#h!Gnbwp3sPS
zlGaomOuNnwfH2%p-GlJ!kooW%kO`;}dng#>UV#O8P}w}4BpU8*jLacdB_3JoUAZ1C
zeP7`BpAo-Y+#`C^o3Bvg5{f39>Vyi;P@yGOFs2$?blKS|B_IJHQXE4eS5_Izk(wvh
z$e0klC2X8hHb^Ju7un>%FZaz#kG0o^ukd%8De2t`p7C9rq2+;4Z4J!lrUnjqYqZR$
z<9u9Y#bz`!zuiEhFbpK?6wtYK%rvZ+vgLch`}*^c?i(-9E$DRySL|TQk?%cU|6S0D
z1lb$HVq~c)|Dc+7h~s#Q`UK_W+W}e$j=KjutyxskuU#6DSy`7QjL4Rr1W957R2=M-
zk}?^st`GlInB5wm3}({%Uy_}vQ(0YKFpSrh25(0iuNUabo;T>rG}BaBD{8#5cL=dbInZ2hl~gJy2tZ)S7y>(~WQMl=wGYDX-%s^%F^u6taFPq#FPlU-#dv#W@IyE0sVDu+U{J
zwSnVo)l>5pk$T8+br;3Eb8@hAnSu-ujR`4mxqB>WILk|P9D2oX;BBAb=gwazJ-Hz=
zhNQUHB<)Sjn3pU1ou?l-K$I}l+FF#I_9*gY(4urs&-dr=lewh>xdj109LV36Vfd9?
zBCCK79ZVoUo9l=VK3=ZlE6%0&pQ-rE`Fj*+W6tXoL>bG-p0CxJ1#2mPal5*msB3d@
zAbvUVVWw&)^x(^NU}*JIeR$JyeDhBD%u|GKQUVTS@gk2e`tRwKqf~t_>IJ(@eQlfg
zd%{2*_z1uOKmhwl`TnQKsvVg9DD53P`>O|r6N7mKAfxdKCU+1o9&~*(I`nm0;G$xb
z5*94rOs=-hBw#%4&%8zWj+?ff^9s|!9e`ew2b2{=A70GqmXeZfCuS0L!_Lzt1#!x7*mmk
zus3l(w<2fX<6_!K+NU^4({jlJ%O9oJ&iw0;q{Z2Kha)OQAR=6VEnD({&VmRmll8}f
z^&W8>u&6E=Xz)B(+PY)5{>4TM9Q
z5x}JIVX2+B{zjGwaX$O;gh+)DY{#{2N#b${vzdeM2GzCiB5{P)7
zm)3CocVmQe)Im1?iv?vM%V^}IA#=ObAjNnGqKOgE-vdv0AbtRJo4g8gBqV<;<}atH
zgfXFy$t
zBiM2@qb7Rwt00H6W1rt5FBgJup85O!KR%B~=0BRQrjve$$_G9xn&wSHgSfta)3!L-vqy!-D1z|e^R5<$crtQpn+)kx~Mx*#$A
z5THx8{V`vq6A94>dW!}y6mFs6DhT^ZwOw;EsHHvV#0WL;VNTPjZ*>l;K<(t<);Hxz
zmf0mi&8S_K=~~<3BQfuHRcGp5uZT8@3$csI#PH;Xs5qvK*)^@Hpzv(&5-mtgBrJ6{
z{FVt&0)o^kPR!kR<7*>BU^$LByWUTl(R;YngTX8@o!ITYc-IGV1e~}|gfQS!6T3oj
zKS7k}fW%PHLU1c!&NvRgGADX9Xsl2w_e@W?Y?MI0PZ
zWAwR+dT-yC%hv4Plgr7zC+jSnhH}e3Jh&X3Eyb6&L3FUr5zQu)dBsm=&}?8_fXSpb
zLs>HgH7r7`#mEsFkp)~!;LE2p$S2$_)hKwfhb7LpsZ
zkQ(>TUkD0urc5dVQmM`&d1J=v&G*!79d)NBWa;>bS{J5br&sW}(g`fNo*>(h!?;&u67WrWRv+eTPn11T^$G>sTw7CVl$sB
z0Z<5ln=*Mjt~0pX@zmoo9lbRq!dzo_T)+bP_qBSv&*f0!dyW-Y%CDn0z!Et
z#?z}TK0GjZlbhVSs3`$qnbWl1STrf6#~m5wGl}ejWL{^ADTZae@~BR!55rr8DPA2_=O`@0+P|%uH&3Y-d&eeJ9Gy<
zM3-=B`i!JP#wpiO&Ky0y=c4J4mjdsWBV~|7!$N)&&KXK&+dS;gaB-a{elNj06c2~D
zTUSn)R`x*;9W*`(wo%fkOh9%N4pSEsWj$c6#SbiwT-PvN;eK@<3k}po=@YqR%TNR2
z%*m!-(h7Vson$Yqd@gScR1CgiiE9J_rkk?SRejlb8dy@j!5VwjkZ~9hiXvib`A?I;
zaT6Kcm$5vujRQ`C1v@katCmc=(GsDW0%`q1HGUs}%@+WWoHW4vQo66pQ{u#ZCWBF7
zI7XC3P!17iE^3OI!YpAk-~Qg4on{sPwrSaIiU2PDgI@B`l&
zSplIjbDS0vQ8haUn3nxN5;Nlpx@xDrB4i;!ZMr0sp!~
zSrE6NYsQ(~tD6L?O>7bp>pN*f8<@X&KRJB^+cG?aWZd`##
zHpMBt6tCrW!ATYsI73xp1uH9}SxPZk!bcja__$mKB=>M!RbzzYTq0E}1OX6m@AyI{
z`*}EJ*M{FKLap;Jl=VUhohg8vZhT&@6`#pD@kowk!9?5QgiAXum5yk`9dl~=Ob{@@s_K$t
zJH8R_Qa=hX=enLW17~ac&utpgK`U#pcp{9OZW2!^dk1ak#onzu^`9NdB5t4AczV6keNN0q%;SRz}YcG-ES4o{#FE@
zrl1^32vE5=0NsM8>n18V60w6$+o%O66h*YO_2W92m*m@v=XzYwAHxFZ@=}BFjKr%1
zInhG3!KiN0hb`ItO!$r#r}+vGwtF#fZHl+Q_yE}~>IotN%W}}PV8(zspJ1@1vl%+e
z8lj#dTRaiITP=34`S3+42H!r`fT3nB)*eDtTZ>Uqb#>_)&RkLb=5X|7R~ccXaD5wN
z0ds4f6Rqo}t8)4q9dLuxTG0^N3P#CfRmWz&D4;^tZ>a20;QU!PYV3
zA%`x5!ICTrRY6tXiaU9#gWvN`+u~-uU#n7zAwyJ6#~@J9w@PlAAjx#Dz0C(hpQ(e&
z2~q%oxF7^-86=xbo{G5~EG#*BK$d7+6UjVwgUpp`CL(1hWxLeeJJ+=AU(?=I*x8EQZD#3y{XqNWcKAOOC>o>R-FZN*A;g2yQWp3ag=_
zQ&_74DI_k;ujbI0ut^u;n~DxvNm@f&CHSri!awM@a`$y!wWA0-y2aMfm~#rgc#3Eu
zk@_)lo#)|&KMQ@%imgf(a~H~0XKvm;r{)$gj%0pc<{A1o>yzTS1IFU}t85Z(=shgb${d(dv7EI$GBE(IwEz@eFRu@{=m3nlicoiE9SPDgbqEA9t?HwE?#
z%;E@A6QE20FZXgPmPCHtX^Re}n{5uC^a2IMjqnl*T_XcU2Ls}q1%K)d*^>i{Cxk~G
zF!WZ(idxVf0K^dctu6f=RLpeOn29s}l~a`INsv`%-%2j@nD!NdFy!v9KJDB-Y-m67
z2?$BNbYk$pMmU`u8|nzY)+Z9$CvNX#olX|ftrWU;%^HW~qAb5(d+m}^@gp+BD{>CY
z+b=V*XxY9(XzEu*QRF7gG})Bt2`T8X-(opg3DtRzTYQO(*B;>9*ag5L>4DDCl>(}Bnlf)4=#0OUi;&(K7x;Sn5?$t_;
zHSWu=-I+m?2q>lyDHPdPLhHjo!4u80k`JZA)BBa7GW;Gi<@S7S+=9kK0l{9*k<0=4
zP)f0eU;iAoFGqt1h`c7eOTr1h#Ts6k6{kHIncBcFmlK)StmXBrYPq@toKvbDSiVh>
ztY%#w-Us92_E6bqf9gHCF4iY0L+(X28CGwD32_&Opsv`WTN{@zO#kv
zhhkDJk|ROrT{d=-a(Hb{Lc!J3f>*efFk;ci&!Ot#$P&7x76FRxIc~$wp$>^GLe8=>
znB?iotNjFR_v8t$d)Arn?vjZZ^8TpuHnw}uY-jO}aEo(^bYY3ZNgie%Mx%mJ1t<2B
zWO(~k>?uhq)0Os20&b4a8E#g<=iwOc8XY#nO&4@=9U+H>)GlSw4*EblImpOMu9alW
z-VAz&un4dnI>r>E$?B6gqVvEP=_DBy;lK`j$!i6k2ZTGi3q6yHW3RL3cODV(YhVdwv{H;=I0>Ro8YXVkoZkXTY_Mbp
ziQ;=>vx|0EnI(ZeKwz7S)matnBjU|iNUY)GSdW(Nw5Lv^4_uB$`1%|Azl(5_@zYE4
z-bu#(1u{DA4G|7~)gS<~Y7Uj8@q#^uDl*y!F&Qs0Rv^h>qVfnG{tFc1h>P@27RAx{
z2ZsZuN%*=$CZw2kbi^7>>SxRz&2_qq5rrlN$`^?m%boWOW5~y63Y^tfKS>^9A3f^`&ux$y5!`;3Pf0d}s8a}2~3Pa#VDMQR7Ka0m#n
z0hcTDo8RUj`PNtWrZ}ybR^UlO2pT+PmXp2Q1v7cVm(;d$h~0EaorGY6+Vptv5fYmr
z#2njto)ga%*@0qA4Etx8Ek>o>#18tjk~Gy=VaP#@9I5h*V!L8#@#E2(i%ihmwvasi
z7_-0Y;*wcLf9!%EFA6M~0zTSmD6yR+q+7Y(vuQCqt)bPbDrHA!4jBj!4-#VO~?#rZ!OGLy4zh#+JgO_?)$`Y}+H5x)9@xH=O1
zxu0jmTh{%ovcKUmJ!82J>JJ&Hg3pRb6A`^Ewy
z02PG%Jt~(DXex`2Uwt8o=vR|SHv<)
z@sZ_S5whs&8DZ6@Z<5}v@}GGZw(TV8ZPvGVv)I?B(xldTP_(9*$UKsY1ChIBPnGgA
zS*-TF^II~5xW7{kSZI7F`w3hytlK^x=iH9PH5@cob$tAwVS*a`>|?P*=-|rnA5Qwj
zjDdGYkMg|YDFjmB(TcIF~gXfg}?HEluYBvPlwI6@@9wW<&F{lm^rSw+;pw+dP|!+;H2>B-YP`3FPYdrBe?Q?M^W4VAgj
zQNx!fSXL{t00JyB4U+gsliVPR$ZIHtsv4Hr%vG4|sS_7hg{83U1WVx@_i4Y>n)FF&`u%;fu7NvtzX*?;QE
z4_#2E30Sdk>*_e9p!g%C7N@&QvM56tdf>7l=HaAS2LVw{WovJog8(}<6`TTe
zfBJfL%u&{>xRB$B&ZT0bzm8(c9hVd|oq6-rQ-a>QevBC8I+8(S&JSjl?{OcSKOHzM
z3?MHNp53d^^htYep>*F~J-n|q879_7O!*u=kwt$`ltUQF?WGBhfHu>>x3U=hYU$@f
zIViCp^^=`)N$So;$M!mh&3>{NO*8igS%fkWCMTs7Of4>>Ngi{M5;jyOh1vNz1lu0@
z(SPEn?AQ4*>*aM5j61vw3>@|!8shcXPolEgx#i^&V(a&}Cy4cv>q{gf
zr5rG@*e~A15)~(!^>KVtcoXe#$NT=2Kb3V++&EZ%NG`>2S(0QT#;{%?=)Y;dNs*A+
zU>%+A7s3{&{x)4I9}c0Wh-&g&5zt9H%GJZkp?-B(*fQ6Kqbm5<3x%II7&l(HN9S`a
zwI7r3hq>ow+g99*#oCA-Zl^`2eyHhw4F9|ne6No+p4vNm4w!$La>Vf`QGD>?zkT~7
zYea#OS?mZ6JK?Fc`jH4ducDTf7Wncy={Qfb9Mb(pvszD{^sq0O;CPmoKcV!@fuk^k
z#vjE5A!wJZIZ)XC081makCtj!h}sK(^6uv(^bj7>QN9ixEPH8a&_5`WdcbK_2&^-1t}`Pn~ck^4mV
zKi!%ax}=>$G*bi-v=V`9hT;xlw%urV27fQ81XTV|I5Efb>XTo$-zBvMSjUVLyNL&2
z726=+L4Ds7AmeSaSenMcv_yZ1
z#hX!y{Z9X!g1Gu1RMcUCMue#tmNk?7=ghzcz?J@c6cV%cqTPo!dvOPG#OUbZpv$tW!~%ukC(Mj9l-dB@5&{#7
z_t|~KEWM`SdWER13E|`ma4;F0>uH=WtnNFP(q=K7d4!mR(arNV&p&EclH*OR>laUk;k}uk~BIriUZiJ;kPP-{&^kwE#5|InOH%U
zGPN1Q92EiJ*m-x(98<;ea{w8%Dq31m_3$c86vE_|Q3DoNe|x_Z
zQvT8E_N~fzINZGFrAlDhx1b%vj3W8KyY=bvVFTQHQ6D~WCOvjhu9BCZHA+iuX=E2a
z)F;&L-he+xsKI5ycGV49I;)&2d(w58TC+?WA%h((1mWf%l-5W`9KO6`P>7+w)uL;$
zgEnYD4wzaFRP1A3DOP#&K+($yIGA*vp^p3kuC9n4Wy_-~z~Xh7Q0GfXwR+rZ#@n4M
z3LZ$|i%K!#`#XiW!*^n3@ABAjH}S!e449pFmK>(ttkQ7J0tv|Qs_#h4EReThz?M!s
z&Q>vy0y$Mh+9;BQ^GR3f9)F&PGX%km=8n5woS#2S$rPk&zDlv=BPBcd_r3TzjnCAE
ziK^9TH;mn{(B9d5d&7m!f-QROO8fK60ejU|SU2h{pTekvrQ_P5?RFxeDz~{pGqli2
zI$O{2#p}qmOyN7a0*Oi)CstZN3Y`lH8_H9U7xbE^ryahh;UunxzjghRl%GzLjyhzP>ji_W)SXp#d;S$?#dSNb1NH8pnH)T^^7YDSw^wr=I3{yGQ
z!(tS9JTCa~f-Y{1%_SV~J;5)5SOgXu$OZvb$LG|3koDwXAa?+ls0M%_;uscasGZ(v5h@snFHDw5h7?$6CdU6*>o}6Vl)JvAUbPx!d4wcghnV_xrdFPZj>>=i-=F=+6O+HS1I4JWV;q1x3F3ch8a=l`LdcUg
zPz->Ij$xO6**kRZ>N5VC3NC@cHNM0z34<0WPOa(*JZT?AEd?GaOih$~OmIt=n?yyMwWeZU&pQf$7@@>6>9a
z#G`VE0x&dCr)8T{6ZV3C6gE~`aDfrvVYcrlPX?>z;-
zunH0wqC(XNIRYJXm!;cE&Ro>+vjj#+&8qf1Hc(HM%VavNy|ejLHx1X)_B3##wOHBF
zhwo-Di*KP->!73UDnw`u(0xD*v-7W`f;y)t@QM$&+YaApIP5x}5$M`)rd
z38bU2^G=H>YM+Z5ye{1{BR5wcW;zr&>96yU7r-#f2_ami48DM84<|6tT}9VZB$$Et>J1FdH?O+p!*m
z5gCUZG2=RG%ka4-0kK&RwW7p_*;W+%NrBQnckw9IQ>_br*rls%|V`_$GyK{IiYV`}v?3YPSRv*Er8G
zm4I-KG`sNQ`0pw(+z?0bj7$^W2w1IZCnj6!oA+r8Q;##_9Fd93@8p)Y`M|5d1j(vtPA#+Gvngl1NM)5=l0Pr;;rddP9&^HJxWmo#gFi5_6ZQ{dN_M$OwnSfj
z+IUEkXKQ+%+28-*fKjj^Mlh9rG)BEHE%hO;W+q4?s@0utOFt*9aNBiFWBlCi%}o_;
zt4Glo{9k#Qs3I+TE{-e$kiwmXK^(XcfNSbMLs6Osct{DA;kmtr_Qn|r%x;OYZE9opt<29g
zfT#586?vUrLW8#H>6S?7wqOao(4CV0A5bxPW~AcS4GUyKUZVOMPeLE^jW>YkcN4WV
z!t~~FD45X}!-CFkJ&2Ajc_hO#pZs5%zjcoPv-c5$sD!0|YIa21^ihb{kgadh^$j(mhT{jpi&fL`4lSQ_&XPyhP8`7@rbvVnsKljrJ8
zf;I>{F#7N`7ysXibuI9P6ue7d4YW7dXa
zcw`iteJ84Uhn2XY`-c%whftzGx7RoMsE?x-4KV9`%vsL8K5h?=*0o_uXW(iNb2%~jWyxCh!_a6R$
z3=eO?wX9xD3zK*`qtM&>8X%Y|u0J4cNt|uNWhr4jX>|r*%&kxXZZIEEaSe_akDv*e
zNNH&Wslf8^hP4t>8u-)eO=Yb@D;EW_lInrgAb&of^zQm%KRaVY(nCctSW3w7qI5*H
zup7t#SmS!U%KJMcoUvJ6vnEfKYE|wx6OzKu(eKD;$R~brm#-2os}v5b6pTTR=yL&M
zHbT%fv2P54^)|dGP1L-BOWiP1(G#s%$)8c>s$-1_@d|~3t3IxxHEC~G6!Bd+Sk^rr
zeNXxK_VT$J@SD|F;B9zA3hyE83)*HK&CJ1d;Vi#U`CIz=6^%XRZ8bG=dH0z7>lKsA
z{g2O+A*D6YD6(GbM<Iru*+uMh#`Aili^qyNy6mJXruZvgfS71vgoh%XhV=WsC3F+Mu}%0z>dj3M^v
z#&K>>g!$K#KC;Qc>VJWi?y*v$ft2s7Z3;Yw-$E*0*BJ5sq#`UnD;9A8)lx!#D-f-#
zVoHYJ@&?hI6rLDQVbH4ALBj^Tia&K4Uh_WZcZ+-n0qU(Nc`cRO`R+lxl~qV9t{0eQ
z9w$B9;M*~kx>+rF80o#yy@ozd@ItUlBql%Q*R}e_@Tj-kLNG!xm8aj7H{6h@0v58S
z2*cKt2V2dy-@z+Zc}Q1u26B>11&*m+QnjO7@PNOPG%fEy-r%7?mNb4$NmGAK&1Vg@
zlZ$II7Fa=RYRd7BWf|m>FxF?Jr*QDcZI|mVV+aUoU$1)_l;_nI$7=^;zNGVhso1Ew
z%Y!dCro-U1=|9=2X@3H0x3d30wd$``!fSvjm?LAk0|*mnD87#}l9v$xN+yui1CVLw
zc>pUpo)#Ru3bz|o#XJDGZ{c_vfSKQ(7P8;YUfObgoQ)`>Sh`OnetlR&s#v2^D2(2nPqu46>(_~OI45o7$T
zTi-krxAkwYz0$Ebsjv>Y#uC=22`PTSFgkEKOi1vguqsjD3jsqS3N6|nm97$es&YoZ
z3$HoD^A6ys!trqy;e+{r@Oh_mg?Jeg-V7*jk$_kELT*{5d)8&CDIAX^UhXL~=3}rH
ziWhL?{a_0Kr4<)c){ifKLQ|zKf^gy?_2vG~B~^~n@FqpkcEO6TKod@!bHhO5j;#!=&r*tzr0L#qQ;<&}iY1CgwR~ugF)axJ5Fj
z1=-1yxGZNUsSaXKXrXl|X%lFriMuzW-r;w0A_Ld-&(XM}aA(w#Ev2gr7EIv%1m{|R
zf;%nv8eS!g#r~#%#V^7VXKuN7M(+Q(8d!^|Vu`qL3iBoj{$=vI;Ves;mRb~^EC>?8
z(qw00dg5fr$ZM2+)R<%V2Qo1}2WL%uV2k5(mK}Fr6YBOvA8N6%nncXv8FUK6Inw%x
zJ017;`1JsnkQ6eni9J&PJxa$&sAc4)GEH8T%B968{dPYXx2rSOcysKzOWOlfayG_x
zO{toN-C_!)7)kfGI;t9qbr3^IYl;AqU#*hg`@u6p3ZG6oo|CIL@Mq?0ktij+rVFnCoN^jYS1j!M0&c(y72=~*@%G=$`mXY4K)Kya
zy<_&p*Sho1`NXeBEL(8^o|LM`F7e#pfE_RYPeGQ`&$E3Jp5ktx?vADXqed8sT-IJk
zdFv|0>MD79nZG1Rcy;5w_x|bYmK^iGK2-s4e`|f1b?IKjFF781={03MZv)SrHOn@>
zrHPCyi8uJVnY`0)Oo(bWvAZd}0DtEq>UzbY^a`;9Nib~_1(D(sg*H^02
z|I;l*W>xdhm9tiVj)jP(_X|v&l@`rM$gkZ|0An;*{DTBUj3vtE)s0cuubp)sq2E@}
zwu-w66+Oo*k6$_y9|5T$mw%`J^?r*fPS4)odJHfHg70gFZ=C2UX>XsT0hAz12sc3F
zDJEak+*3^VwA)$0FZb72+9BI5oJ+|3hhT~@a2XRJg~s7{st6~WD@2qK)uYgQuYSD(
zx3-esPU3}5w|ufzsQhZI*P_Kd7q0m8(3M<1a#jKGVyc@aOHdz#iJuS#M3ky%KCPdR
zuc%+hCh^MMxt7s@nEi$SsL5L}Ksr`szZJk8zY5DD@POG2A9*y3{A(k#_&Lsy-3JK@
z)Ra6&y3MpW$HDs;;Po!#HKFxju}G>R*C4q=1$?(rwm2yr2SCN%+ahP?gso|*jhT2b
zg%?+&@`R4d=oc!Ljh8m${cI-_708>XR@!}%O*O)c$lRq1efr?EB8vsOm8wjiE~2;h
zM7BlSl2Pv}Pg7A{Wd+yaNYR35H-~!#ZUc}?qdX=ihCMyVp7o#Z{-Rt5iKf!s1_p1fz{Psh&=Z*blR
zc>4j*L92=%tG58M=t=-B34nI{YVW~7l4RHv0p73*p8|L`0D-PmbUPH?d)8DeQTh!OjN7i;u-tRQ-bPKdZR^6l>G2`e59^So&Z(@4iV!|cG=ZqbX
z-Lf&td-gkAmN#pa&uSjSy^ewhqq_l~$EJ4AR=G?7unCpx^Wf=}F24A6)HZO@lxE^a
zQ!sOGba2peyBR5W!=8nlo-LduUEvg+(KA3$J&|^D7VP}&D1J)c+>Mp5C5m+?e$xw%{Ch)d%(B|Z
z)=M=0c>LhV<`R#97_|QJQ@4kjs^HRt3hpo48mFjy5s%n6?VA@2nz!lUFW_HO-ab#?
zm_CGq4QC14IUU>g_u!tFp$9;O-Z6udJGn
z3@k@!>R_e&4XRHV@;Bh%bOMJX6XMN;F~?Qi;xT@Pny1!1-bgyb^xhB(;k3(YRuKb=LdjCsj6juAedxYO+f`C0IpC=`O13w8z7jeCu7r~4@%XzJ65QCt~d6O`*_Vn
ziDr<+!P-F0AYR{8u1(jzcDhn&fB|B@Tdj9%*B@v
zThDU!L1n>KE^1q)fq1PrxKqP1tC&*Wf&}kLQ3WbY;Y;{felT!{bCM<@+R55M2gkzU&1{_kBxj&NgSTXYiHvDN0T
zujuhmK0rN;zxQQ=|1-%~Y=t@CYm$6CLS~XM0fcfpw8nBeCvX~99dZGe!wX=*`#7Sl
zut$OR`DDp>m}d%J!`V0$QYio0LR__L-SPq%Mqq!eYNie!1rIP%KsC}B;};$_Bxvul
z2E}tJXiVeG*nOlKKuY@(F|sl
z+6hBr$$zm){Au#AbbP`#4T@5yhuOw(NmWVbL8Nkr1gXA^L{Z5-!Z41Fqq
zoyMMVpYf`Nj#hCC2FFqoxU@S6DxD6~YocvX70@9Sqwz}p2s$>pfPL?^(uM#YPRQ}Y};d=f=
zghWXAIFzWdW2f3HQF!jN@9t3gZr=k;@}eCfKv$f~}?|Q^>a>
zut-O%3Xi%ew=lO~rh;N&D1Gsnk;Ns#73>uq!B!uob~R
z2fnRQRO;F1J8eg@W52YyK|@VSU09r-QHhG}OI#puh^ScBQIt87`!srgEZZjj7g^)B
z-K8<`^mn4On$#ClV%9B>AA9{F@&Enaz5RMw-W){8^ajBXytuK39DVAKEW>2DEzS(q
z=HJ#&x{hhWJ+yVi=fy#-h0Mv8`o#^L3mY;+&&`o?{w&NbMPo&1YUA>7^TyR(+9?rU
z__>q;ek7qt=yis#c~jNZ2(z5+zUj0?
z$Pv%MuSTkAVL@1NuNTES2+c!J&Q$eEyx8Q3v7%>9Mrf1u4&qMI)LdBhPN~(^GBeWa
zf4SKVt4bJ8Dwc@9oSQ*P{UNH0H8#AQS760G`Ps$%Q}BMa+j#X+Q%8n&yhc#Ddq$Ln
z{g_=tdprQ!^tA68+Xdy3S~EsVJyXXE9Xaz2_wgTgPE=if6jVea-W8aK4(7Ti$>2xt
z9+%F8o>lbCPls%!SQ%PX%HJ;{fZjZ;`ZW>y+m=0F$9p1iyY`i-ykT$(P^D*zhs?O+0jKpPBVhJj-&UoN`
z&Cqhby5`rn#-~MXR(vWC{jMl`8J~g87W7{+$}5xO6l<6*9-EVvncvp)i?J(S53kjK
zI%R$hK34&*IGK=IWt*MmIKsPsa@MNBfo3sRWpK5@vAMzNUfO(9;JmEe>xQ%UUd`W2
z`&Mu1vvYDd&DlL^o*`@1c-k(IQwC0L3)4MMnZ)br#E&|cVesbJu^
z#^PHEEp-dn@`Z63sFe6syA@qt4(jDt9XE9cvSY>Wy`K7dlcStlv7FtIvW%1-mbEdlnC!s3*WxR*q20}uj{iiKloq^~WPWWGD1XuIpN{9@#VSke43_QNfJi
z9hugkKjT@^vDgpIq|uZ!9|@d)@CUR}IE{x~c!=K^0A4!!Jl+4Wy);(yd%EsI!M;vm
ziP^*W7cH{igUQv}RrxQqhg?3&#yrX}TI?*GNY))KW5pI{c0>D)=BaDhc(0~2f9X+^
zwrs4btu6>1lQtc^a>%db)i-*uF_h5uNm7i@^YrcFA+LC^DCJ2b1Jkc__YT4(I+t>N
z4NFTjUGp|V%C0B&0sU@|4-0QZklONs|2+$DKs%q7in3Ik{2X@}b9~QNr{pKE
z-C5n7tXn61dIi8!8Ak3Y2j71VoaJBFbnTNp{;qW7XjV!qtWWig)oNt+DCU}V+__dZ(6Q5lKfkTz-DiQnGSKs^`bnVQ%aWe>;I78>zQ#Pg57sWf(-!6M;}X~N>thWPDYJ)#7eXGnRd3X_pv&Q
z$kXo}fZ^D`$=BEn4I)yonvhhlZ|TWx@r}~4^4c*YT+tbF$eK;N
z^1(=7Y~XlZ`tRo{v>(akwQ&pTQ6`SIT^znhd79h|O>gAHd=#1`pH^5b0sldH>W{5<
zvDf3s64tsX^n>T^l}wxB>|GbbKUlZb?uoD;B-={O`$b!fH^I9sDF9v6)`
z*$Sa(Bz|@=kO2i`uH{MPMGq||?j(zBo8=$L&Bu?PNRti|aZX1P;aslaH2Hjs5|nmy
z0d+fl-S@Dt_aFy2kt;Ei$If+=(8aCxLrH3g=fzR3A`uElO;O$j)lNj8U-?iFS70i)
z-n8(U?IIOM8eeUiV?FA#U)IOjJP8FPdkT%Tb)x!R((sQP$3P__w1Ca<8;~_FZ8CSv
zDkRu7)Xg;DVR*4wNkP7DAqkuRX83fPE@Bmh%9AP`Fe;tTEx4k9K51KeaJHnVKC*`d
zKN1E(ItRrprd2Xhx?UF6y~I*r1;l8bmS{u?dkSOKLB>&n$GCW+zO1{)B(zu`jy6zX
z*)H{xV^O>BZS7o(+V=9G>X3%FX`r8;-*r=YI&X6;B6DS3
zkx18|Y6~y(BB)fk2B<{MI04^%RpD%vTxqCOPuW#J?7j$6Y{yG8EMn|O!EkXJCPw1a
zjw4~(!rBc=K-{%xh$G2X4ga*}e2~1VfKF8?KdlDkqCib-?cDTyg<|3_{0ebw$R?!J
z1b3p{V`49hqFME*`#l$D4=R=J)O;AN2^y*PDb8pXz6v$2RYTr^AfdG5sLZ?3!Hm%gJIK^mCk8YI-fH-fYX~~5;Ie}a
zayJyczd+ouPDj_(G^mC~2Iak~=lfj++2;n-phQH?DPJft{4|9Wl;fSR6#(f|#P=1~
z*D$cE7DYXvGhSnXMkBV0HyXH8u`@CGTm%Fgk&}bR9FLZ0_!a3NgEAdM*}bn2+wm{Z
zN#!UEzFVq)Qmq+M3BW7vv_5Fm)NE;_*J{|o)OIRV_nQa2?##V1GhBt_eyhE(VS*OS
z{K4hBr-37smi!pGQJ{7875A+*i?$bB`9%%vv(Ftas+xx
zmCjl7`$zD6YZwx#4NPeQ)Nl~Wy`M3;STnoGt$PLBH-5uAUglP9y*-TMdT__g0%6o3
z7WuwIuL4SWRhO~dp37-+(0f<@&;1bYR;^L2UMocBT>OISSKh3U(T6)@Yxbw<K}dt2T>vQ?(irqtLM95dgHRwY7{~QzV8$pBHC@4Bk7f`RK+D
z%8vf1qQ~O$5(?Vb!U+J|X)Q=KhpktS8V(?*r@c-RgTtZ^ogcijn1vqWImfpWim(>5
z{&MmODijQ50c$*tf0xo_bWMQZa$-(rWLjwR2OGp+l&M-PKz?GHSokj}wE=3PhAjIM
ziXZ@8g&1e;(SBSd@WG7>X$MnBK;jV)4l?UmQCkV)UNr&E8;dYigPvG6D};_q`6(;G4U@yThKxZXO_wc?Cz2UZU&*hr~S~QN}3b6InzW1BVuR`PU
z=;ll-r{}%>jenh=R22InS^*{p{tLF`uhc{L@o1mXm7ob$=ed4&9Unqb^j@B-8p07F
zr-x%_KS@2bLVIU8&Sy*|QQ|I+8%I-HNNV?eaZ^NFsH8Y_{EyU@IQ~;`01(%wJ2O&p
zGgLdNJ$F=(Ju|UAJ~d^x9^wD30%-AV>;Ci+O)(hShdw_N|bU;;Ejx^)!c+Y)J075eHy9k)u-y
zq3k@v(FfEs1LdJ}FP86@)f|re`Z~pq5*HE^nN-pd{&Z>RT+eXOJa>S8l$hlWpVliJ
z!%ET%l70*J5=!2_bk2V%vh|kcX)o4!P;Fu_0^VJ)Up6A~p_4wn(6?~(E7utEx^AG>
zDYJMXMI}FVa>T*q!DMu4X6_>>txCzw?DiS7#i!b$Q^Pu}MauIREk-YE*R!<)`b^Ci
zAHBL5r)ZM$=#?~T@#60}|5MND2}?bXQ1u?@hjDS}j)^v-3^R|kCGEvW9>dAa)5%6J
zGEAqn!=I0NweEUfXCwr-3g@1C9v1KcebN8bQ=Zq`pF)Y-$o|QkS{66n@XD>@=E
zwLKNT6VfzlAq%jc`D`ddfOY~&!r{M>ifyi`;Rn8P9p2a
zSA7lVB;pj2{JGc7*UsJVv2YUM`+UOg#Cn0^8u_JD
zAF=t>mNFXe`n2g^>i?_Y1N
z3au=B%6vAE@Zm79rEuzl5Q(v8vh^(E-I32oM+CIGd~Lt|!(^6*vvsw^BWIJ&Qhcz%
z($pt$!JZX^m|(GuUdx7Q^IPK9uT|qdpMriilKK46^z)|C?sEL|LjG3&vaF`_yBxRY
zIRx-B)IFXzNGNkpKwuwvY#(j2ug3Z)n7uFZWG@Hc7Cqd{R70e;!f?C$unTYq5}v&W
z!@b#u?89WQuWaG?H3YtLyn%he!5a4X3tM3)j=jkTfF2yz2ATgeSs>q5%HYz=)KK2t
z92ou{d^Lw3fA1jm_2K?TD<1^Jw?56^i-S2Gdm}i@-EYfn4*LG(HH^;Wik<%IckGSC
zX>P^CFCnM#isT=Wx53f3!4Yqe(a(OcGeyI*OOLM(GY*k2RetIPf*=%7x&R=Q0}=`a
z<=OlaX8ue)T>`lV`0BU9bNcyg0B9%>8T+L8_OG2@082oqQ8|?XNYn1`rZ<2>U&~J5
zZ&%kRe4#Klh?4~X^`Tr`Gk>zCxzL2)51!;e#2$Zp2+j-TV!h#F11!%@{{up~o&35gsE!tySF(X0dz=Tfcs
zBk+Ra%`9jYF?9BwO$9NLU)F7I+pgL?RfEvO3>Y^6I9C+TenwE^HbXvJ1=zkn+e&$w
zC3|k+qieOz*{;~=TAPMA_1$XG2R5q`njVj;*d*cZ1tyI{z&eTy>Te11;MZp~yWf8B
zy}@wk+MXI^qU6M-t>vEkl))kad6${4Z0Yjaw!2laeth%-K=oS9{~-x`PR7K=RIr?i
z;dl7G=eUf5Uyl|Z^IH-BN~wh-$lY-25NrK~>j7sAq{
zi)KU)$%OF#AqfwrIfT=i!Z;wowv;5fy9Zw^)qXv1GehJk6UIgQ9j~0xDoGC;B|{HM-mIpaRjzNK#%U%ieO-i>}&>O<0X
zEsPc_r6k0i(S2K)zwp8+|d3I;1XvsDC&&9LvdcMjPoiF>;>2~Qg^T_5&N1sFfzk9?F|CIy{iXAQ7
zZ8eUF{bKe0)X0TCg%@SEPcyqBuS|1v_Py_a!T;~TGrdNX^4u;`!c4KTjJ4hIAokz)
zW3^dgkt+$yYmqoA%+Q)McCj*Y<2D9L-TYPTjm-Ut2#9`MUHhN(dnAgH{h{Ya{GSgZ
z>jp7f`Rr*#6NKUEf2I?WN6Zcc=m!6Oe2C1A2P(LL>wo?X=fwZ}WkdZPU?et&-~vd*
zb0?z)012~OC}0(ORG!Ff5-KB(sIV5;AV=*%=UL|B7!~|3C5V`2SaYlSxQD{=ecId)$(z-|FXO--$e}0B~_?e(m^eLIPaE
zVy>D`80oh-qN67Dyvp{D);EP5#s0EW7p>>KC)M|_j`ki)V|wkkAu%}q{%w}+a?
zG>d1OX7G&J=VDmp!i(VfctU-50Sm)f&X!6Pj4LeJR!r|;R4BZnH30WaE#OdP~P
z@=R|y_8KN9R-byea!KevRf_Bh^ub)~WN#YSY1&QV`M-s}IWF|!vKJQ;;DRkc7
zEk#nX!!tv3!9^++FNdsRaJ;X3%Q!lVt=z
z08ws!jRxI^qB~6;27|*QyFZPrFDDzzHxio~xZkDeEChaR
z4A0q|VtnH#N;<6S*~#AkldB=P%i?a$(o{nNA-?9rXF?7vZ&Lg3;y^NwYL}Q}hdbD{
znK1h}eKAj_S!r5=-?*-l3BGj21THgSKgNA@ho^wy`+Gbzg8*#{;jh=+Am0|d(4%H7
zBeP)yKU(%zuo!ehADQxGD5;j;Ov-A2pgi)iZXEN}ZQW(=cN4OZJYTk#8YSr&en;qB
z@bo?XeqGy}%B45gpQBmW;2GB#_8}K`C3CZ%^GJc*f;0YNR|NUS78wBm>JUyH42e{I
zDe|yxjsLWFsdz6`MGpVa{)dG7GDS87@fyjwmH<~Sc%Ab$O=)omT?z9{5b&#G{}BUq
zI?T3~DZHLHEYK>5;E(X?_iyT+Cx0XS9036aKg0Q{r!w^)q7#1tds)Q$9p3^ze37-d
zzmzg_%Jv92tPSz0^Z2&4@P7o)Y#k@Ua~lOA83;ib{N8J_%K)WQdoRM5S6o`BBJ?YN
zfOJ;$_iri#pxu8XiIB94Y+G+aBp5kdD71;-G+5)F9TSQvtyb7BtP$`B0AzR06WU)s
z|G$3(3@m0~@vyfN9{{4zfqE)$pOg*C+pIz|N{9N?O5ZB2@S`S2-Rkr`kk#rc@z9{V
z@?YY#K00Su+i*sJ*kmLr^=0^k#U6~pSM9}Z6;)}hDm6jh##yaRId?^$*N3rLBh&RBjtw?##Q_{aR
zPV(zHsAL~7tzAcQxYW^&?%YjWy@YauGp(7ekem2jiM&Uu
z!JQ3|JZ8)x2u@XagVBJUB7=bh9hg*c=p08+hf#!QfDu@*jv_Q$`Luc`s;kH`XSx7g
zSHXE~mWi<91*2oS83ZT~)urHDtB^>&qXeGVsYNOhB-UaZe+xFv&PmM(08*Fl}QzUE{uZ7FeCrZhWxRsGV&}g
z!<37Hx0qAcB`(XVc!speV63yr-^4$DStJsWbGPA8p}?iJsvR$hZOz!YLfR02_0CcgKp
zQC0oG@ix&}q&oBh-({N{{45-yuKiA`f^S8~v5s`lmTVCXk37-=t*pj>NR>hE&7|N|
zLi;&MOej=|IO*-`-Ozj@7iYV6%YBg*F_?ni?x?v~F6CM_
zQ5SU|0=8Kv2rwO6?-
z;sC&*I8ywaU)YQZS_KYfu_mWX-AJE2^3G=`rs(=1n#^av7KlFIVVZ-HY(CCl53p%u
z$3^k~Whet|4+D0UN4ymzSD;Vwco6>LMETAl`P2szh}LkbQLld1q1*NE)vJe%60$Co
zVK8zR8CuOq@Ta4XEfRQQLKAu^EO@w(S&@M8`?|iHn#IsQTTNV)N5V$M-`_8$kh`6k
zFU~S+?C7X3><$M_qJSB|M3weL08qA!AfLc*i!)O!>-ZwotA*tf@NU&^@hEhRvvfPG
z6fd=0yP)fHNV-?Nw`w~N)5j)6y&r0j<|PTSJJXTzq0raY&u#oJH~7{V64y%B$bY4c
zT8>n2F~tPdO8=AfC>oM*s(|WKq0hDuKOCdWzDxg0jNC#gzvU7-_W&6Lh5pedDJEP2
zMQL($BW>)l!&{!f^Xo}S9j8zmI|4LT4KZqhh+l;m?Ljq@t`BnJ4-&5#t6vlTzbLx*
zM<(C@58(Gsj5%y`KF|5AIUlQShB?*9IWm${(nuw#&o&!#Y~)OuQ#mE4N>a_K<`_~T
zN~k0io!%$+ag=OauP-4C-O!!)+63%nWmI?}p&(!tK&%V9?W9wcZI
z>PZt`mVpS=Pw*SzG$AP5`RJ@rP_RWDiNI8TgVC}=Ma$Fk=6$H~gwRP|jws8<6@6aql88O1iz0uv2_5?3h_8Ga0V
zZXQj=SvN;O4B8+^o|3;5hPGagRoByZ>@e3d%`CA&bNK1~)saQQC_nD`dnDD^pOCak
zFJMUwz=?&*Kq9fO04?>ioQ540ycY>SN`Y~93L&WOt6_ps;uA}V!L`gI^1|Z)@chs@
zcbqjHhnQ+Z?4eLZtHVdEeBW4GE}XG&;UF(yE@2czuvp~J(o0GM%&VRHN&4=rMZ!
z+6hd4e6?OSKoiOb0Q;wa3oriST$bONpQ3Oe9|j9j|-EFAhq
z4>lx%=IqLp9F>k}(t$$yV3BR$jtjI>=3HDB~B(Ye@U&59TOTPstXA4A-#ddPO5)*K{&u)UW;slz#x0JuPn@XsdRR
z3%z57+;Bp=bD-rs(FES<-JugnnT17>S7MK9(sdvAIff_
z?!_ib;%V=<{-{VY{1_l$cc6XnlZ5Vu$7U8X`Njy#Kn>7!CcPn~(8+??B-JMfgo^Cr
za6#HK!5g-g132}r#c%S++m)rs+wJL9CX?Hg{5k>;|2C`?jn;-oM
z?uQnxC6oRAg2`@uf^(rD!;*Nzp-g+e)Y!<
z-}OM;**Ml#^Uyl-eM&1!tL(*m<7T<4)TI03`h|&Duh%bbSQQ$}&Nja-Z$)nfH?LkF
z@ok=`)4l|?UA(T|62w%4Id48~35vKbE8o$jsIep3Qls5A{j42{7i=)6z;@G*K|i*C
z0MV4T>MdiL?TI(<|2m!3;e_xDI{B=l9@hEwtsn@Ow?Dz#?zqvudw%=-LXWzk_QBDK
zLmjmsP8<(rb-2^=d?$YElpMO_@R?isHn%doZaFIy`uf+>V^Q|SokcM>U|S9ScG4AO
zcrYN`I)ZG~M_Sh(op_&`Xe+HFWW>wVGHd|Dsh9P?Z^ZcCGuau4MSw3xgMT_d&v
zo6Y^AorFHvn>nN&5_XXq=!bzxYL)tNV07ub%L?s9x1%0M+&eLQyXdg|(maZ%)A(7s
zS1kV)#H;0^Xq!_QJeYH3E*aSxB%C$^b)epV1q0gp?iu2{a=V*C4i@aJAoX$mV>yX-QKe7
zE?r7^fC{VCzvpdsFFf(tP2fWpxf&LKCpYpiG62H`CeNumAg!s8t0gC-l$-npqVDzZ
ze$Mr8uUqk(L-iLPxHX&^{D}1aL%#M0rD6mICqQs*x$eMyVN*81xfaP2JVzlf11{%h
z<$wKH5BIp)<964?<2qJ(AZj}JiSIQ`-+7yye7m@w3!~^`li(CAEQOo~6RJWaocs4Z
zcj;G8gu{)Ed+5Uot#Q8URg9rPhwQ^f;R;XnRs7NWmmf^+{=khXwWN2o9@_Ab>lf!>
zg)TJI`16`7xFXaxs22wc^Aj*|d;X3j=a2pGt9hdwO3ToUPme>tWTki-CE*L*Scbe2tzFBRraX+2=rQtu#LJ$hj1Wku?3$JU*Z
zw%+mYS!bU}hnzcnM>M5M3j7x|#2^>YPxZ0!Ea(jH(*^d1>;K^{&w?*yoVr`-*I
zD(sig*k_Azd^;VTQ*h2GGZa0#;GmW&+HgG>1POU*Ez{ohi
zWE}DqCf|#;Pci|zATsV0eECwzpFfq{n6)_g_!CbvK*e48R9KacbW01t7X
zY6*4rUase6oCj{U*08VrLamtROZ2Xy+)>XFzmUGzPaU%=s9FzX*yIzpWN6F?l4_Ld
zPx3hgz#U!AShG^)s&kiY;Z@s^_!qdz7QQCE&nUgOvU!ocx=291l51y+8a(=9KV|Gy
znW>L-2VhiWmRR+9GUpY56Q=PXqc%*{zr}HZAZ8
z)LZLtu{QX<8&Z)U}NesOGyzv_X0(+ESYA=M5*wc9{RXCcXCVPI3liwX=rGe)w>|m*pBe~AS(VL&*WH&Sfx{6LVe|m1}FvG
zm*Z$XEnJ=Jump1AGX1Gg#d!GtB!Dynq1r!CfAYCk^$*9!`uvxu%matV?<2b(pc=~k
z_6woS!(ZO}H~Z+%+Y;L;__j<$y~vPCOCT`m*Ud18M%
zRz+#tQ#c-Z#F{oOIW>J+Wzd=?lC&vu6`KU%U@OqC-@$TqQO6qWvxye0S^L
z3zPav6?x0&#oPn7zdFT9S9?vYMf7z<4D)WNy?-@mCv&{uvUlgYQ33H9?!m!A^f6nT
z>g9*ID*Mxw13N}}8M?bpfgJ|J&6Rr)V-AxeMdl8VsFvMP6zOK|lj6NHxutvPWxLlF
zdLq(>7q9zR`dco@;nrG;iat9uers^Mj)na%T{Yx)()uODi=BHN$6meCI{a;{0ER0v
ziGfadogj198P37~fC&9rUe^P^#r_px-laD{>x|`yIfoRk-`&t=ct8iH(AD$uO_$Ol)8Uc;
zjxF&MF6w3_2V+1GhQ-@Ad#s!khs`QPeb9B~XV9m~zW&FGu9tmHZ6)nHq`iJn5q83|
znqdEJ{Eqnq9Fn8m!y$;<@dHS=OjFo3y7PlZP#SjdP`ESu+Mk)pFR3F|b^A`itb-Fm
z$2&=^2QvS)Pgc&z(oFV^)QD==b%V21-@#o)FWIfH=^8x
z|HZ5nh#eMrToiBQ+mNo5-W^@5))I%wmOPS&)q0wXx~Y2;%-yZstXsM?$Ou|07uKk2
z=+D~IlYAEA5q*eX&fMm#Xqx1V#2s#|j`e68DBfpx^1kNFr=${O>)|(_+U!KWsLlE6
zIq2Ths}M8mO(bw-0S*n0tqX|$%GCJ1su>vP#kP(&HxXIuKKx}&`d=7;^G{4NaDE4=EQu$;mLD)N3_98NU
z_!j0Iz+Mo#{odqkktc@68#Ko0BEJc8;0L$+y}YB^;=+b@t*>bY{Eva@w9Dl%w;aP>
z2|*gRIIX&O{&;)_kh~Ca=moW36K5Z6!i*?%5lpr+7}4EZTo;W=Xy+_gSrs%O^$Zz!
zf6;oIp${!&ebfHeo|I$-g=tQ_>DN%#77iyhq#NVId2Gig$_9FteKn!XbL|y+t`+Wz
zQMTGC7C0H{BG#`_9R0n!x9r>fUTiSxcP8(mP&+J*BA6Y1i#Dt~Ri&Qxp8h}2#|ssqz9W_R^M{$qW&CH
z>QC|y&~l@~-8_TM-rJp`+WKO=
zJV`p`wn$Z6SiMN5>_LlpZZ9&rq4t8S&%BS#_|NBetcHu}u}yuYI%ZwnmLvZP?H!GR
zK?!~*-ihN9_a0n_-Oby=>^byHy7ueOJAy0XS^v#j_=K5OnZ7G~(j`0CFc-<_z8J5L{;+}CNhdSVhS2BJM|N=gU2
zeo1}h7h-oysK{dKN~(;*^6Rh1%qzDxq{k6xvM5s~G;vn=OGYiLVD?e@{dY&OO3+QO
z?E)HrXvfux09=OMh4wv1-tERHpkB`ozn%GXJyuNRvjv|G@ZkUBaXFq2bz*zd^Oi9!
z5qCwJ_UIR1S*q%de3ALHhts!Qq3cKiCbvRDfX;})%2h6fKfW-oQvv&H=jhxp;_h}+
z57?Z4!d4g$+E63x4=#jA&QF)5lZ_7~NO=>(jC@qh7jAbK#_dyldfoZ7U$j?t@#-(Q
z;k%kM<|9O@sJCNA9;aJbey#k?bH%r~POkr)RtbaQMiGYZa6xg>=I3l?oZcv;Dy0=r
zpSKS8#D8RfuXtIHDqL)q$doT#!g)t8i;yudTg_(mdn(ZnC-p1KtM}ex>BC=IKesxg
z+Z^~oV$kZ?Q>Z?GgY70cnjv;U1H}q^3+MXJkL>?2dTal5VV%#PSDi-St3frG%+6TU4*NQEP1tc<{+v6C#P%An(@@c
zDb<5N^{>UcM6))$6hd|H3>;5?ldxXAsGV-3#gx4vKPcO(%ZV1#fL9Tfo%u*}cPK;H
zo6LA8)o2pqzZ?%39Wu0wO_Y;0P&rFz-l)-Vc27qF5NN9Qgx$o
z=&S!iqP8Ve@_1@{DJBvvv&?7adM|EVoi=|c=lwWj`p#a3hj&UO6aE!nH9UJ@ym2y$
zOQ%@UsX~1pl>sv7vlLu=jqzi2?=>a1DK1k0^lXCanMZA=)*A*oMGMIS8d2ugz0BG6
z{o@^X{(y6P+YOgvxOYA}&;uIl4#PcoFr7BA7hEV3o{pKd2gs0v(XilTkP3-SnPd{W
zdupS*HBrXQUu9hG?d5x!JWfBl#o-zXzdtrtrc%9G-tJ7y1J)+&S}n{>FyVsfVA0a%
z`PX;vquG?rG&4SX{Asbc4c#
z6B`UP$T@6JtZ&rcup#PnIPN{a4=}5LveI9%&1f`t5Xg}ag9eIm;QVE%z#PYJmO@&j
zc6##fxDBNRi3N6LK4`BGj4=-(p}YmoAZEJ{8`aQ-H5C`97a2crfmap;5Y)4
zOb;LUVF21Uz@i5{!Zt8e9fpKDMYsQmbV5w8vWHHATr#Kg{Ll5;OF;f~YILu;gJ$*r6sA+kCr3CINm(5N*_|&xu2NBC#wUymJ-O762a$#EfZ7EGu`NGI%`U)7zbPASdn!_1{r`?tsUe<&5P3iJfndS8rmFIJng)=HYZ7z^fEKnPo9x}<)#8WuvPx!zW#
zw_oClGfCY)!I{mMpVR{N;zO0Smyw#l6wHGBZ)c)={#ruP!x9aT>#4eVzfp&i;dCCP
z4*~<=x7FdY@OG!IUa=F7UT785s>V!i)01MogEawOR*nv#74kdgqG+hM!SB&N{NsN%
z-dZQz{Q`|Krdm2GSvNaHR?mA^=Xk>o>)N|c;~Twp>0GAem7MSDsTfH{nGF}n)Rfn70ypxn8d!i_V$NZn7ZEicbtxsU3Pk!4nA6)GT
zQ7RaSzU&}=D9q9qVcKkAh;%(#-^R$19iLYH#T0RaA1p05Xtj}*R*Wotj@=H9IGvA_Ma;lgO`lj&#G
zRQrMO$N9O)&}i28G%pr6?dj~jIPvDo)U-7mJ1wKofSP;G-__&
zu-{>di#gOTUSgi6@m6boU&w>po&CaJHS9mIOrauuE1-WiX*b9a!JL&2@=kMQd7f+K
zn;2Ofi7khMr)yswOS4&uHhaUH-JR~s8?IjnP6*CAwqJ6ESG}}w$^M`{$SQQ3c~CE%
z*}w|nLU3!KQb^j_UtQ1kLd+H6SkB{(g;#nUFcv9b2h-fYL%UGymQR*(jPAuU?>gkO
zlG!J3oD@}U9Tw;OZ-?J9Ogq@s$npRHoo(>ud66v{@rz;H3FCb8Nw8KlLr}b_%Ej6V
zxW8`L_Wc~Sw?TjF9=bkzZLs{>zSs8AUQu1IuyuGyP#esaICpcQQjWsF0yHrdc0&^v
zi<8m|cxZq4P7i6n!*+AI)3WR=&4EYp%+33KLG1VFYjmp=3lui=5w|}#q}$SaYrFsS
z28nr#T(MV)&S5cm&|QHuNa8bDPGA6gNsrxx+jfII2OCk+_RN}@&Q=S|y)n@Kf%RAP
zS(+KwK+7ae^i((T$DHA{<^LL64nqo_gfzYN9XvZ%ggcQLs?Mh`tzJqM*@OX|dQk5+
zSR@(t!7a^-hPMvx@=SU3lC=_dtkT5ha+R&kqq!_>x0#a^8_^m_hrjzveH-*Uscs>$bNAv5hft*S+-tk6Js$FJ3)q)c-PWQz>3pG@->0)hb*EgP`atQo>`
z_^*7is{8Bd6$lFkwWTo3qXpMD%`;kwt_LY~rJR(7aHhZ}7_g>|4b?XC*uUC!P5}E}
z{V9tlyVn~Ga|?5@Gm&vRJs?HBfQDCdsrRDbaJH|w*NJ^)e;eXMr5FCjn7;A^0Ci^
z$2*|Pp7_Ju1G*CFN-pPw$se<5
zv$3Th;ZIuAy)7Ub^3d(x;-}7b0y)zX&^IGc=(A)~l7fWsT;6l?>_7H`)J6q{yjuxs
z<08SDlOG;_7C~UgeNEfbdNuaIWKO+((em!y8gCsY3*XBv6JMhnQyBpyxT6hNi$8LS
zx;(tW(BVV>GZt|#g#6YIcsjGv5a3$iupDUpjfzy5oUAFSh*)t6`wMgVzJEBu76k
z4L7(=TS;Cv3htex#$U#^{&x|1=jA=6haw056*;7@xJt8)d61tz@Xbsw4n_7GkY;Yf
zz+qWlrQ%{4iJhu!uK>uiXRCqcF8qM?dOe!R_VE>+*k7_)uHur!xu9J{fd0!+
ziAao4aWUsi=FfFJnG2=kiuEVc%n!gV*^Jj9?N`Z@kSEQW9B_(-@qq2mCwj4qcMnFX
zi9U=x6F0TIGsBDiU;KN+z?z1iEk38j7OS;{X~u}O5C7P^suq`w8zz{gr|h2)FD;#^
zpgnlBFOB*1%r5W1)AW@aq_~8@O#DtLhxYwq2ItlI@Zqjz*}T|l{@Q)Sm-K^Qo9!W%
zHdJ;foZ&#Vq^5ZZ27YW<)UyozQpUtNhJ(2%ASR;Lb^mHN5|jwJ6kSAc{#G~rFahMo41z+6%I$q6{G
zmeXX)O}h|Y_5LQM=g)=$zmn-KdK)(HDz%lLgpKY`v*;#r
z*Uqz|Rkh>k##oBrEIbwTyB3)UM6*KVSuX&%tw#-@7rlw;XNt<{cr0_&X@X5*@0RE-
zjYm0()`=TyTbg{1>}4$@w3pUMp@I4t+q6wF4-M_)%}q+=6PLZh)^XAJC?7-MmROZ*
zCpxTz=_pR1T>d`lm3~mm`9^Fz?O99Eoy1RW2~98B!WHromg`s*Y0wZqi>3@DO*Y}M
zO`q0`9PKc0ktqTZ!g=2~FfH-J7a?+Kx81j?Qu*Vy=_A5HVnrk0DgoyeZzLFO)o@h}F(=`_wxgYsasui%NzG`e)dp)pvsN
z8-3HF>IVSou&fXp;~W}>>_$rqpD-Ol*(oQaOMBbcXyrR8p3^FjJ|@gliegqfD~Hpj
zoF(l}1RxcF1&*`gJ>M<`yvyla
z$*4kwJj_V|a8OCQ4Wyc~0g}@I>WWp|KY2s(MwGgqLwCpd}wxVIqqepENzJ
z+tk?9(?odosjN^`Bd!hbV}g;w3P~GuzP8W@uJf6woztAis~uCZNrRD|ms&&`VFXflOuJ(b}783$)Iq%D$$
zF9t6cEGVza^|g)21bvmWotngOxy)L($t!hm*9(*cUXum^Pb4`B8b9@O
zNNmS7v1O&XTOh~z{$obv`9&s`?+{UxAzf;jEVH{0?7#uv(Xpx*i6&8
z=!K*ZR}>y3J8R4Y3}z6Bp+I*8{&ri{3tGR)9)O1IoP^b!BOaAogZXdL-X`=_>}$4<~RqO6H2oQZ4*r!JOc(sWNPeqf_QMC|2z6ZBGG
z!=IWF)8OH7TSCEDxYnh!Ia!kBqJo#_nM-hlmI(#cowH?RnF`$vN?Kz}AQ5FQ
z0L1{P7EGjJL|9M=-_Y5lCI7u0su74bsNA0_9h=vEL2ci$qt_K>rPWSr(D7cZqOQ=w
zZGF!mc}J;r3S!@2pF>o4!b$b&#*oQsB&_kI8;G3C5L9+~+CZeaX3=aM+93MOBjaH8
zY(^>=xaK&dE9xb@pDn=rICNC{Z@HzU>O!TySSPcE_c^O`>iM^_*dHrxY)+M)nZ|F?
zdl0W?ctkO83>cM+Gw_^UE@*V$<^P@EJmkLpMkrYiqB;>f9NRK4ZU^JZ=Y$XJ>C2?m
zp@y13luXsqc4Q4)$lS&>!wt~z#4|)JLN|4moU8ji3lAJEG8VjXs?A0%w~lg8sK`b^
zb$HW#k__yO_Sm-Hfu3jh!5pS0MqMnSjUbgW2_`8p6|Pdj3S-_J?HQ67BzlzPgjDgi4fs)H3?Nwj{}#
z_c1#c7PN?I!*6Nj+(Z-yFfKei-;E`H8{>3K7kN0a;YsBq+pl2f`>=uHr^4=e+;>VD&3?=
zq`{#&X89u5UTdIJ?^LARc`5=lTo>5`I1t9j9QQ{xu#ElL!IN6UpM2|BUtqM5VsDOD
zoB{gKk~b$OFoU^NjiH1d+c{djnIId^T8q
z@Zk990qHE^2HFLi;aH&<|lDh%qAm&hJ?Bpfl7+7}+tCnL>JFsG8`NbC}~?lD%^!idbEWTl`0Znn!oQHnB5umDN&$wqC8x6c76
zhjJ&Q-Px}SOpO38%pe3G{7RNYmyeisM-tJM_(x(diE$-E+qjOqT+16F!myx}-13z*
zj-qFQq80^_NxJpnO7I|S%&AXt?GQe$U#<(k+7L$2awkN%8dFE&D4731JUt|MJ{9!P
zh^bjanLQV_RQkq+t*+oL`^YuDD`7C}bd4^7S||QA4H@R
z7B=diIBojklX1aoJ}N!o$`OxkW!_x184lKlYFh~ULd)UXJn`Pl6zT}9UkJ_K#h;|n
zUuiQf{g|J8`j}3SPMaRKkf?J)N@#l@rQqO-gu&3U3c`~6zDKNV=|N)rgu+5WGl*s-
z7FaSQFftUxSA6614fkGQ7&m-NW#;&aY3ypjr3gN9c54v@knrAc^sE+EAP
zByoTwTU&OvHo;Z{^QksJU|Bm{%N>CCP-^!Hyv(
z?9?!>u8xnw4Qf*uA^dczJTnfU$tMYE%Tzl|`5p(;zP?2s-oXG7uCj$vFU|?9D4MB$
zhGJ&mYiN3;#$Y1%n$zY)h_{O$?^tvJqVjHiet>Vbj9gSC(I3w=HzJ;pg*KABqe}BE
zZ0hkXipr&Q7I`}Q7wnTd4W5issvD*?X!q1U9Bj(Zgtl
zY4m_%eK;!uFSSNbiReEO%pTowI{EeOyEuf;=A+~zGS59$ENzSDKWVwuExM89s%2w8
zC&?2m8c*{h{Co3VJV7y9gSy>}w>BfH$^FIYxvF*V%|JY&2Bw~9A
zqjT^&^3GbbeF|&YqsU|WDtLLQ$Vv8Ye*8wdJTc1G!iNFoJzer@Rcv(HG)Mv+uQJN@
zl|LLI-+XjQQ>ju&w6I3Hw+|!6P};x``EB4S3`-+eCsiNd6CS7&rM{z$WuXr)7~S8&
zp&x|VU7_EVfHej28-4}J+60B#h&)JS?N49yGHURHt_Gux7~9Q>ADRdP%Bz*xpT{b3
zm{*czsZJt*V7I5H%3}OL|Zo#X}f>gT{RR)!RX?cbwxo|u{av+>e
zPTwL5X5o25{ufI=Kwyyrw-+TT>@0te*{T|1z9N(tP8_m)c2o35n$IIojVT=~@dzX1
zh#9u*CTQs#O<+uZpzaP!$`78qXjCV94ZqMYr8p>5_d$8APrA!b73bDC0jh|UmS4y?
z6Fn*o1wXw%6@+2l21d5Sz@K3Zqk_5r8ECrAtRI!X;RiQbd6kK~?UrF%d_$+jO1#x?
zY)sq%Am69k|6o07Z;=N2Q{RAsDGa0TKGz9vV=+Q8|FgVDA7bpJYT;GYRE8`OUn1sy
z(dLA-Q6GZyMY$zPVjM5U_H}6zBs~WN#HDiO!TYa{6&_()ZN>R&-EfJ1|LvXYcdNmQ
z8?QJzP$AtfKb&3U*LaWx8d{a9_}xjl3$KXltM4XcnK)SxA*N)MgcL&+c!lu5OD*B&
zMhK?-e&x1ZPzjFj-qbh1rO7T_xjopd41lF(2X$xYU)7Hxbh<&J6}x1gcA};fM+~B$fz4sfm
zK%+lWLG#gcS=$vC#0B_Pagnw%qfvOEMot+}P+TJsF
z@xR8tY>5;8e(HzCzQ&7v1s|GfqN7kL&G~)Mm1mRLt>X`gZl6?$;BD5Ag1fN0E3Ic{{?#)Es{vL8Q{W6h$I}aq<@H0wf5Mz{me)ZeGfIRty#V1A4KHs$;_GaQY*#5UAmKe~0
z;P1{YX3;mZqSgK@nT?8HP5+riQzHI{HyWW_>c@EC;bIJ7ivy|kuJH~vZj=4WtH$0v
zc&GIIP+kYYLO8+j4xx;xaPPmpdyTyouE-_>K{lex#!vNT9}Q&Dg*T(lCO=*Nn=PN@
zy9VZcP=&f`LS>YR#oaIGQ{(UZc?ysIm$bdU9KJo@;4fQN>pqBIpSY%!DtsO2SLQ7$
zF;{31p2xjsIQxUstLcBWPLyJxrD%#fImW&@D=l%GK4{HR8Z_F!n@P_GDS03y+m@+c
zt>eV{Wd}oKZ*}V=83J%AC0zOYHW;RNxZ?m5?Be79HW-iVdw~5Wnlj6&K*U5XE6Wn~
zN0xU4YA5!t>$+Reg7eRX0A-vNFeBHCA;y27#v6^w1B}NygU7X?W^;7aI0E8_&{xG7
z*3G;1_V67UCi35s_$Ka(p=uln6HK&Lv7yi0@G4Ls7OmV?{pT7Fe_vvqO=y_M7lMc_
zK{~>4NIEep+i6JQbA5JXlab4L!@<0d-n5^|VzPr4k3j+kSGn-u3-!9v!-|q_()@52_XGK<|UVUp?@Dr}_++lki#u|NNsD`tTZF-tj(c36dc88jG(y
z4@{)<&lC2j5)lGzaS)JP0-cm9>OFZIACc7dCYD4wRR7Ul_|9EM&emQ~DlY?e*y7Gr
zuFY{UPf@_kHv0e13|gG_XZb>Lhbj}(g)HjJ=gSdw;s6;k-ZNTc0UOU7XPwz+WOC5DLQn!r{S)=
zvr!6u3?x-I+}=iiVhSqT8a-iwmoJsO5x;w8LGHhs4=>z}+vg;hqMP}vaOIH_+Aj2Y
z`+QxxzZ?@=RC{@buapH+W9GU!atWJeT78+)8yC-r@uhI7q|F`wNr(Ke_uhXIQN6J@
zLt*#WA}7U=S^VUcQ+r%S^RU21-2U5tepy2}Z|XhUs~3YWZpgT%IC#9P-}QM{B@lmB
z9N9Zm_fWuCWB0e|?tXlGo`~5GxyoeI
zJF+=^x!$=GK4x|+y8pVr+#`kP{N0r@ETtoL>T=AC9$;-Hhx5sMX1H$>FON;mhl=s*AefBkH3&EtYS
zpNE$6v$%cl;p7oko{Fgu{MeP2pGez3K&$_QQ@GyW_b;x?)fR
zUxB)X*fX1&H$n}TYbExwQ4O*{Y&A=XVxrDO9t5JDFhK`u
zoumOONK1612UzK(ukAvB{>BH~*v4HZdZPgle01|f@;$s=YYMP!_?mLG+1=8w%^nyL
zP}|70JyiRZY$ciOT63Uo3R1$Dg>VOLA4L;P$a-E0Tr(384LRP^9j*zajP>s^`6lM>
zvQwPeG)yl~?U-~@@HA`Fyu2Kv`@X4HR1Dj{EvoSl9lnxnF)zP1jcqbt7t<1ZlY{vd
zkAlm)Z&0L=8$mK8lr)HQj2rZBNnJd5d-bcPX%Blj$7+!C<$-hAiRW`stXOZHQ(9qx
zty)HhL9LPSi1eZO1n81CBiv0>T>sT1gkxKW)H_7ItoT%3aQ^Cy30!Z`l+c>MT8lE?
zfq8}W$z2dn?j=BiEHGQw2-&vZCs#7!t8dIMXJ574k3BSGlBikHnuPJKm
zqe{H3FvtdXmc{&>{dlwQq6e@2s)q%MZg<8gJEzCWcNP0e&lU3xn&QaKA3_df;uqG=
zOYTh}4SY6o*A~sR>M|r1+bkv5iZ{@&oy(pDa9d;I;eR%}@X5%PsPTqtX(!FDCF4ac
zN#aT)UA`w5PXj_miR#Za*NyvrGZh2X^S=r4S}f#ZYsHOAsr@JEYticO$THrVGi2di
z#w(q%X#@D0H$C35Sq3pOu+|;j2$K!ol}VGd`_4@hTX_uM`N3`C6wd$m;kp{Xa{2m&
z_MCNy?e&JvI?g6Qky{X`n^3gKfA{g?dnO%U!wVctkrEaYhFOZ7rHoGsMD;MXqmso+
zuSplq1X}I1XBwK_EeNTGcN2Pq@WQnUClIq?1JI9AQor7EGHzshJ
zpa11#WE8&l&HYtzhf;`!0=h=<6G?Gh<=Q}7x+T9F!_?#7{w#~j4-<*=oW81>(1>x6
zg#)RnS5TSgyB2(5Cv~$+s_?JrSV3LM`Q$pyL&OZa-k9FBJ3>dYrYxp|qu$mqr2jx4
z>CsJ>n3m@6QDlhh?fMk2aZ1n=B-Ij%+*bZ
zVVo(--sYLop8=To6cEA|?}K8NLL~I1
z3G`GdCZRiGqAA0RuIGulLwRDd4>}=(UPT*o-f2E2OWhl(ZWle@hg+`Ya@UKxTUX={
zoV50-*^tt`2?(#P=PGh_fP{+G0)Yz1$i3|bJFt|yjwSOp$Qv*K^0n^uUm
z!=@y>{W6}5F#J=sB5TYuj)@95%Q=GFG-p@tcg}HBo`MN}J17`tZP<6gsen(Nesbvz
z>F%lqX*K06#CVDN@I9;=7hoz3%s}fpPitue58qmBe4+j<@LK;4b)L=F6@+SGBm_a}
z)O?AFXLPAQ(Xt_$O2v$Jh}@>uDD`U0-b9?~==>*G+e;0(9EyjJu(=S^IAgKu=^S|y
z>k3_&Uf^Z{S67`2eqVIzUaK9+`)o#eZIf|YvRsxodEFT
zc-)jKGU0Wf!m9Wg$D21Sr7}u)f6>h!cCX
zIukxWW&R>eeG%CdQK8=R;fdo;>^;|n@`ZyjS@ovkQFQFV+Qs#fkYo7l5It-d7zI%o
z{(dB7sK+?>SiRO%MZFc}y*P;tY1GTQViz~0KDw|cvg>O%3r!TW!&Yf7ZpNiAUDJuN
z%T=AP=bRK7j0i8p5}_X}*0BCBU#Ii`_b4R3EL5@o;Fg7lW(>z-=c5Bpp0#H}+MrKc
z%meJYt}5LwEZC8#4V5|aYIbnXC-I2q$o6K8pl*ilp)O8nyU`gcHEiL*kqqJlp02~f
zB*md3ezS=gYKi&>_P*OioX&uUwi$BHj8}fCZ2fg;*0#eNZ#)B=8xkBsVShfy*DvQ-
zYDk+3{~G+-A5qzliT?ULJ9=LQ_kN;cQ`&&czmGyk`P;!hGf!;!c!WQ-WG0Un72XSo
z80gVurGK_&c+9UZ#NR!@WG+0AR4dUvC}!`t2e~QQB9f+A^nF%PVsSKFltfxwYN~Y;
zj$DR`{^BZbWKFDrfX~7Sx{mWd(qscZMems`{|w?m4;V}B0MY%%CZiBZqPkdH*B|Z%
z$;CiSLx=+)IA)xjZE0*tvgAu=pbt0~b@2>NZ|H7%SMkORNJRecS#;&)6*LnqgYtNTp7GwU?m_wh#)dNgQE=GfL
z$*!VQJz_RB^@%z%T5d@%c81oqaRRfzl&Kq$38u@!!;mwX!piRlpy9$lD99r?arx-y
zkC;+OMvi=qUCm9*JnhLNnk0wvB$6sY+z|J1E#d$^%=f}p++W=!vFhu+@ds{7Y`_(!
zY;#WPV;xf>Z>%dW%OdqOTCQ!xV5`JN~H>bQigiG3F!u|$(x0uU3JsdXVB9vZ!BqHx*Elv?{a#|XdKimErg
zxl3tRPr?7{ZczVD5qm`uvRZ=Wyer!v`s=ju7bflq^@-KezO`K6NhCNCjl!S9fVekO
zvt-##jO56YF@TXIf~sxkQk8DVBxYFYN0d6mu7+U{+-iF!Mp6Ci1W9nz8M?6t^
zCer}n=)8&a%KF8*RL+JV^N%TKv9+9I^p<53R<%|jDuow9WM@`}mb6?KzknzNy9!Qg
zaZ2E8RZ3;Mu(3G7s#TaU9;xohvJ5;OpRh!(o!$kwl@i4{^uAQkEy&>ARf0s
zw!=2)A)6N;nDrik>$B%~fWmt$h5xrmKn~E~EPRAycq$1!ZBkW{J<+Y4Pp#qM0On7%
z49!|17!oP++&e1NR^}9clq(7iXuptlqjHvIzxEjp=-GoxeqBP;q0|}Tql6|>6EdI)
zbP2BlnNp7F*2rJO@UM}3jIPad0t0iTO$zF>j|2Od{&YPB$-t7m8s{?wUbeArtYuVr
zA~)x_+l|pfme`amYyyxPRL4fYXjr#`r~}wZOk`9gx8MiU
z+F-?|fFDP@KS;+hKfYmn#uq6Ff$Vuz@aYgVaCxOGZI$pTWvSv)h3ds}-6SZqPH<5v
zopV!OdQU=`MHG-fF`g_a@@tpirtd}YKshu_f
z#1X{*rRA`WxxNu=#x_3RT%r{l=fxT3xlr?oi_wGaLh_(MJUk#T9hB-nU!Nt)kBXW&
zW4|W92{VzOHdcmay^GD;GvFEYe%};eyjg0=V0oFCx5z6g*`aB7s8%?L#>*(Bf
zl=u21zO8v0XX08AYusQ%#jYTpanDadV1P;p7J#KwFL~iPY_oropWY4LFO&`nWocRw
z4>Ld?w_0H3YdQ03tl@a{G^^YOUGkKyr0%+SkA##T
z&`+ssz^iLKBzc^FUh#;SQ6?Z_qdg&bHn0u_Ug62Ex55qJ1jw~hoOQhC$G9l=*bE{!
zlh@)&(6QKT!HthDDBX_UwFTN0uPIKNI<*=I6_&RU;|H)ys8h
z_wv0|UY+OIGRhqnTWl7QXMx}qKx~CkdHKTFV2SKiC69|>YVft&Rc#6qNbXpI#C_%Q
zl9%3m5q>{1RQO&@Z2pi=fbO?bIjX{_ODk-uAPi)PbH~>5yq`B*k9*;xjt^u0c%_C@
z2~j>i5ips-vtEE*pd14P;pnXwR#C#$m9b=hb_-cPpPEddV=V5KvrhsNv<9^%z#m
z8*YHz>A3SN=tYjxtpL~%r>)=Pkf~@(Y?vBeCmp9l>~7A$I*xPau>x~OTxqu0I)b@~
zDVBOa>gTx0yV7s5^|(tdw#Ri=W^BMaI_xIcKwVW)a}o=y)wF4eJXV?KUeZ%@l?Tp#
zlo9J&9vdUO4s(OY)ECiDq`kPHV9t>5IP(zwt5BMQH`WoHe9KhWLo+@9LP)lftoLVJ
zm#Jd7f#ttOr}QlB`E^|TN5TI>!YF09k?lN`pH?j^u<6Ox!wKw$$yV_*%E;-fnxzBx
z`c+zSo=+uQSS+Q#Vljyv|F&)l6qz4#cf+Wt1|rMV#%pW=$h<9h2c5EFh6O-e9n9yP
zEwJhIa1y7cj@#$~c#lu!0ZaPuVG$#@(IuSf88K`>MyWxYwe&C|kS^bnT&PZNObm
zAJKHwX9{n&mp^$9x2D&9REpKm^U6^zq!3%pEwDVAu4hNMn+ZmycYf3K%JXAx@{(>Q
z6_$Vbnps`TSIyuLQ_B#l6JN~723{d1EnpW{8ri`D;Y5QVsKDGBw>q&tboG_u)~W50
z230T4e{(l4KO2DHzll<*!A~?~OK*A!5;aSuMQ85>)blZk&sfHZ@xI7BfqcbGmxx@f
z%NRD{kDj1jtMn>ndW-uzflC+E>Vz@`2yCv2>amHOJ2jj=Q`o*$f~zMI$cBee&Si8B
z!KRcdz)A%}$rlc9i-_`vTiw6*)7oN%
z;@)`Vs>0?94FN6{GvsOyn3j>brihy{t=FsnD*?q|i@H-lckt!pe7rf)_
z+Prk26%F~c3uap*T#EA=x2#Wxtz{hb&^B$VgeNr0092l7)jK?2LT!3oA(G;Wt*hB=
z&cNVPxE2WR%h-h~lf!}E?Z65;VTIl8qBsJKgn@Z0R$y3Twfo8E4Ps2GyS=Vw9u<0P
z2XWeer8a8qavS4(;P_nV8Z539L;GVaQAa$d|68&YS>(wKVRZG-#ps)&
zV$mn5m>r2s5LQG1RE{`<_hDQS0kfmJ9esx6_iH4nHQ0$F`{QCM-OjL?`|=gOTSFcc~baTFyY9$DY5~59&BS68s1k
zHjr5}7V$Qh?c6@*v~n_yz^x&uHxlfHGo__4zGF!^KFk{d=V;u6DlGL7$Nth5_cee#
zLA5&j`V;HFK7PLAI-CdxtKtAZFdz1e19s~yj;m_m^yRP=C7o!DJz$?cTt5cfU;hyaK~~gwuPGjZSrXCuPbROxbDmks#t&7@ba^0?IUT7u5{5cw#zZ*btZ7vdlH{hsy{W<9F%M(82S
zuqqt@ThoL0fx5ZRpmu(eoNFsxRbI)WTdFEI;CX}%|9D(eF*clsR3xexvzyw#E_G1wJ4BCLU9$qspdXAa;$2J3!NhE;$lBAW(Y``=*V1FaD!
zB-|!=kEz7^Tt6eR>Tg0rm42D^)t5Qd>Ex1hIw#n`4Gg6dkaIQ2Wk{)OEiFF~SurlE
zLF{Dp-r(^5hVXv>Qg=U}6zaT*;o_1@!nIDeIIU5j9|&AX#Fj1i$EK_TJy_?>u-zal
zshV-3I+1T^6{AUH8@rF=NnCY)=RjH2SM|E)O`LW{Ozwl@M!WurpDcO599tG{>P>n{^T@G%T`d6hjQ1fLbbqwly*UtY8J2H5Ervz
z*HQsj57X=*ivVtq!*v=FKAmTa!g$xs^BmbkE_TOt;w8lJ*6BCaz~KfRyQ?FaLg#XH
zV#XEy0UGP2bp)dW!o_WV7G-xjJ3;5LLdSWJK2;7^SG${*c@ig@FE^
z&AW5U@j2iLrYA+;Fu5|xCMv)%44Z5zA~82QR*v=27)4{RWIowf%gMsN3@^UGh6sJ`
zSaTfS=pkC1$;`SBl_{`n?AU6(~pnpHz1cQ43Kq3uQmnPLw
zwPsS4CS9H%3}|*kiDN)_1D-g`uv49lyWbpbsxX=)`iXa)6=|?+C?LbqYh*2GOqqXc
z1Gy0`AVE>Jf$|U`i6g=nHupXYT*4|F^5};Z-7*9RmeI@~mawi?3~`!;7;*eE4H07L
z-7^#nM>@Qf8RXP6iYi_77FPi1uw!9>#4|K0aYvJtV7KAr7^cu$H8+0;7E?2H!gF!*
zov}3;ml8V|O+!d(Fo)toeS2vm=ySq}BMdj0fEl*q8_mwAMlH=FM)__Qjc|{1n!UKh
zVv$%+tnS-uxg^n#AZU6q=1iw*c3KhApDkkrF?%5Et{U81^8z78hl(|~#k7}^yOA_V
zn8!MVG|COESJ)VMaPl|3;P=SBvLNALkyjSDP&CSXJJd+@K>CRWhD&sOCvhpLC{^x`
zG`?7_zv<(h7>h4wXMEJ}GYs9JyoJT`T}8AThWhbfcJ~(a+L(X~P%|bJ>Xy)N7+AAa
zvrv7VGnVM#Si3hCSOGgG@SBel5%bLX2ZTF>orhgCI?v`#%od-jLGNGAb=E7&oJE2m
zr=Pc<*$6^878=^Eyeh!!_kuGDG&p2n7BF;4EpcCwY;aJ^6yFvaT`k&$Er3Wo-r|8Z
z%Bl0ks>wDD1s;dlV3|Ci_2metuLTJ3VfJK7=L;HiWcoe%AOw^FU{)04G&F__7nFGa
zRIn
z2wO`LI#x=gv25ib-y@!A9!`4u9}Mx@|8CI|7~z@&B?&Os{y#GFkkh#7ITgJdiE&iL
znZaba@Q6%T&3b;-;CVv8YPwF$8g~td9_3a~ND3b-C^<6rDWlM2%o!YM1e%a~ILnvv
zCjB)Q`uq<5iQ8w)si%SO6#v7hFOxvX_d?@4F!1t7YL;UDwFYtltK*5ySp`=y^@fj5ivqONDi&52Aji`{jtQc;=jnw7
zX!UlCjs$skRcs}sTR#_(tBu{F5?JS;gu@r5LLhOAI93>*V??c}A=$n{k982;ag3!)
z8>*SQ*cO#lXt4wz5$XFyIYu5-Mv_KJq!s5BzN;>u5OA>;u>>Dio0
zpXo;XHVZ+nC?L<^^}LuNK}01m5~`k&tslCc_p-I3fSKEB@z4&iJK2Ui&AZ;BtX1-g
z9O;~s7iJN(*-q5i&d=g&;O|&;HNSG}Hj&P>Z9g!CHwjXZ1(`E-yTf|GOrAGDv4*n3
zlm-^>Pi^*!|C3i7R$UwG!0~mvn>B-l0cS50bukm^Awv5gW;;dZ0&rZ0I{aGK`7K4<
z+(05{MR)FD=-%y~fgiLs-QE;6c5&T~w@LBbw^B8E8qU55NDH?1%OhcEQVD`4p2d9R
zd};Lor5MGem#Xeb#)v_M&h{7L>x+qzrQ&Qbb4RwntBeB`SsRn{c9L+4dKK;x?+KE1
z87a>QyUG#Saa(%Hj>87f7dj#H#jip&j}Tz;$d}E;Ggp2w*XI{Q#+i~-9#`uLqQetc
z6;phN)BxIjagmQx26p%*LP3X&6|UPhe4$>tiulwcLf_hwbmKtv376AelQOCHJzu-I
z`;J1I(7yD0^-caso=b_$ly-ogkkKSH0_AHJ`Hm{h3lxf)9G5(7KU*?SLi&#v2Aa8M
z`o}=VAf3ECL)K{u_fo@KSm-bq(fi8AR~_(caE2Eq(BRYPO!|Uagn)>^p5A~YRKd99
z)E5bE%soAi@jyPhCsgWS=*eeo14M;&1un2h>{1`&<1?&C&N2nA+oaz7N)2_E&Q+>F
zR5w#0+2{!^z1sh1{IW!-a8~Bb$QVc*3(8AYB-cVs(lhX2WtbW%kt0!cwi2$Kr;1Qr
z7W|_paCru-A>WY*dyfVZuqofGNu8BH9a6TlBRvWqtjBD12=V*a0OwcP&9Dc~`bu(^
zukwu()W$_opbx5~#80-1-iBF#u=u7YL}-x;_c;D_SwEk_;Zruul~GO}MGg+RTJ^u;
zwXiQ?;kLNyM&$!)laCGdFC2Kgd70~tqj6-!be4V6JK!o
zq>pP|{eD;OU(lM_1G9m!+AJy~$Hq8GI8Hn{G*kQ`R5{l0Uud%0rDVzClZZ#Lg#MM8
zDU6PBWWdp(cK220zg{9nDOJxZ9s0G_i0KJRWe{VCu9oMT->Ie}ZYCf^Eg
zqsL1dF7@8k-OMqF*ZjB7adG9yL=!SDN2&b^V+`>hY2{_b(86hG$QFX-@k3=|C~=RwUVW?}w9
zjsT3=^a13lqj;geG%)0s7;*oQ|KJpv12Z)nfyWIno}bo#Qq7M)8Uj96!h6>o)li8B
zWUe)*t@!D$N
zQ&l7R(r~kKf*<4zR-(?=`_8H8TV43kb}o(~_or
zDM`i{FQdS^BpUK@<4
z#SCn%JPzdIY!rCnMM|M2YPLBu6CUEz=RV&jDM`*wz-eA==C6sy(Di)Z3K%`c=ZJ!`
z>16qiW@-z9TY)UU9*`rW>II3&7R%4!{*V)dQD;Zkc#F}lbz1jqCO>h^-8k*_w>h`c
zSoyy`NkHbRha@$DksX6R?^=>4B!dYE$P-=7<6_Mn!spwOxq181?&H4o_57c@y@Xi{
z+16A~np`XB!&rADI{OxiX%sxu%oZ}t2&AU4pD1)<$=E=ge@Ko$la2|e6e^7u$-R#3
z?a6t8$bS-%Ymlx->OaQ#HW!W6UgY5}mIT408e(kwFiz>tc50P@nAiN=e%|is<>h=VIpLQpc*QDeSt~|}+WGxz
zGl-&@MOuFVDryUT=TF6GI;OZ^^1fDn&ZaNHA#(jECR+_vw58Vk2mP`)eP{xW_N#i^
z5XdnJDB{jfHU!@fC5DN3;FG
z=*!&9@V{Yhcx?0FD$WsAE~|CEy9FK9QcbFj2D1x%SaL_p2?nyal+Pk(z`Es1-fzdSX1f0wY#|k*cWM{}|xb&#&DYt@fFJ
zG^OgIQSI5FD#wr2v7OiVTN(<=ZzczX@H^JMxY}rQXgFWmXlhvQg5;LtFW=ds^({7f
zwwgJ=rumie`(&i+Ayb7jnifq^Y_A&vJ_qkQJM(MDKR;+vkg<vKX-a8r{IA9L)E`W$f&I@-nsUBYkxNTBvo7IEgY8mXk5g;SKzqAk_ASwQ;+uDm{bsovS~
z=4flC^F*8YWYY`e?N=GMak$%)+VLZw+gKYb=@qv>vGEvi0?%T4ThX->X6!Z=Q1lrT~h|7mXI$+@)@>4yqr%&CoY}$1;7&Uv)kcjI(J#~F6usf&#Ld>KseD1br^A%ccAFk`E)34^1>-kSg
za$M!OP&wk3KBAL_iztI;OxEgR@7+a=9t
zJwMp$66H0YoYJCAHMmmoGBAHbtx-pd7MW3Lw}dT~=o4SfzcO+EXPT<1CuB4B4y3mK
z0LlHt0p&Rr(HXQ9rH&09D#V^#k?k4pJ)P=z)d#(Z!vxVZ_v)Dmi1Hd=YHp*+p9n_{zh
z&tZ39Sh=_IGxkmK{gxIq#P#7za%uhM{rtfaf7iDEq;%)rpofLB-$-t}^7BRy^{S|R?bM1c88O}_$>@<^QGqDocy~9m6C^*)HkyN
zjjzjooXNgt-%wg|Uqev9&TZ^Ncb)KS6SvD%Sw9QQTJsh9%SS36o^~6#+O8JkmYFI&
zHWsO;7ipCokkV_f4Tp}Ye==_(sOwH
z_@=zkx#gPrtj@2^LxJE4B{Q{$2a{L-J|1D6vXB_Q6EJm#U7*1;wOLrZtb*TNXxhWc
zx`{pgVml+;Tt4VX>y*sX=OH;z)^6|nLnq?Yq-EqQmdBTMbW^K}AUefvW7qG;;>d0&
zs46wqIQ|WLfpOY1&^33{=x5e!_l_Stb{TtEA2c27mCB$Sgqj+s58i)M8)4b36Yb@N*0{l&5tYs-Zu6pU
z;9d`Kok%=COWIt`=~d5eBbpSKRdxLedcTh2MpAs{7Evoty#
zjh@l?{KTREO769bO-Y++?Ah@@1e{oKcc&nMixA3g<
zpv%%-3$@O(#l03N@)28Bwz5?=KmWqggSYnjTGJ+5$whv&nezH?I~WU&w`y+gFS31e
z-qtcBtKLU_&tnH!KyzYjLkSVD--hNsk5B*hc2Q=#SjW8gAdoiY3pLAox9eU62pun^
zF_{mGyrHLZ8c0Th!km28%^HO)p$OimHOs)AVmf<)zB}s0&$l9=*TPXFwz#hcB0JynKHGG?%LX
zJ^=rLj}vo-@L?3!aVp1oMWk-+XEN84R&;P0E}_=RE434VU3geem|l-tT^~ii
zdFPEu0>(-4fpfw;_Bc$#E*opSdB6CEuO-I+j_`8-Cs~p<$JBCG(5AT8rwx8I&yaiA
zvrj6kpTc6Y`3BczRyQLoHn&}A25&O4Ho<&oIXu8a=e4_zZMJu-WJn*cw*iyG-
zdGmJIOMw0srY!h$``vv-uSDIkr-}mYGHLH}lo8b{@tyCWdx=XHY0K|+3X+TTIlkQa
z@^zRxU3dQ5im1_Y|B}7p`0$kH@9IrNOo9(SC@VztM7T+?o}M@#ILe=SMLem-DSJ(ZqNc*zxt(EqV{vz
z4S|b$Qt!VHsd&LphP+Hr9@p8O^m^@}?n`+8qgt$n55GU~t2oT%1N-CsizCM$`Tq_@
z@UV&H3hUgxjdA?RhrylCmDJ%hste~eIA?3{Vz>Cl52sW8UU%!PE-F`G_D<}*@471a
zaB5q=_Q&q+{dE`rsCV<~GhsVBt1@@LGgN+EKlS@0nqJTj=#0N6tq=IJye)z}b9Z@_F+-m%y`c
zn3b`;NllV`eb=KqRsCPgw1cYI#YZJ3oQyYk5tjHH@Z!3uYl
zSyxP~s#UH_nip^bEgqfh31Fp$n*2Iay{W=dM5|4^T%g~^(#!4tExv`m{&B%7(dkmy
zdaJ6pybX|p?eUgSptM0a=5~x1zIi0+LjEp-7I(cy(s`fE|Ba||sSoiT!(XwNAthUV
z<}7OO@PA6x!JYaS%e}o)iDZ|xwpjWZyy$%YT~q3KcrtXmu+`h4tz7)VG9$_0^v&>5RE34sD{a!3VcalJVFM#X+M+|*M8#77$(;|FyK1>{
z;bI6jj1?gTlM!jkjOEQCzU!{Z-OGv6nVC`LwqTuoK?4W~BVMQsU7KHUzve?+Md7mv
z@7dKf-OlNVyJn>q<|ULEIvf@zuI`GqP6`e!caPgP^&_QpN_Dp2M+pMGbWr)3-T{#m
z=0Uknc^l@gZ0qKWdLi`C*BW{Ksh3Y}j0D$GzZHZk-V&MKS87~%p!R$DZVqB?lorCy
zq4md9&9c?jN|1`bJZSIGut{c?W4*M$g!Ox}${)7JQ=mg69PkhinKh>h2Fwf`RHl^WVFv%Q-@~8eJy^DaV_9liIrvFUUoOp%c%lc3Mz24?D8(*XooC3t@-)=XhkmZPhc!KPiIX+v(I+0JCs2Nd?MQ-1yf|B+Vuc}z%+K%
z)Z9@Y{W;gD$wbKVkiQW9(M%YS9y#W$tI;%pewGUw#Brw1cS3$4fYIOyE-wtpCx#0M
zluqMv`=~N94TW|F)o~Bc4~qyQGt*gb4nBa=s8s+!4u9Rv!%f2jIK%(-GFuRyEQ5eHLmM}v~zzmbT&*HTc)GgT#|
zf1#qOZlY)-^2UXsPde9+?X66HUb=9&Ealns2a|YM7#U>d)uzqYA7#K90OieBwn-r+
z$nKM+c|>?wTnc|vE*q&MGYno{GPChADi`!^A?sAgJA^d`^Kj&wXn}=X?)9Yjfu*~8
z=9PTD&NQhRGzDOSimFN=7N=ge+>dRw^!{q#-Tt@69H(99^0cX$s3o0VvNY3Fz1?z0
zkf&l&-_EDMtxfDOXp=7J=#<@Cr19XLg{`*z_UuP96W{l)tFkhU>DzM2)OVikks_+0
zYWbw>$@BcfPX32K@BWFD-vKVQWW~+gVaS?99ql{Y_L?PEWx3hAyfQe~siFjT-S(Mv
zczv>kr~VY1edzU|m&dMDNP_|Et+2K^?fG5E?RP=9gP$4*$Q&Zflui7s1M3$Hr}=OI
z*uw7&P2qv0Z2#EX*EUn7?nD#CUYo{}=4Wg9zgeSnTCPY$kJ`&i@|6yb7u@yjR#`6e
z@4>R|px9x^aJWSA1AZyR-jz80=X`Yh5_D1OLKgkjQNg1hYmn(&jN>sAnIE1G@
zy&(VHH2AUh#Lexl4=k&EBrgQ(5O-{)%kx;yd!kLsPeb~LqPkwSZ$M3W3ucT0Im#Xh
z--*cgFK{gq=b<&Z*~h1w`G{@LPsrGW^4?m$^CCV^EO|eyVp70Y>4PeRSi)6U7`M@1
zr!~EkDO&W(ZA#hHVyl8R5omoJgD&h#(M-utbN12aFIF^e#G!-8spVX+
z^5C~YHEh=!>d`lIuH0oDA#~-Fg!==Gq?ah{kOJU_6aFQKi>
zYAn9?j)kiYyN*Qwh^qGx|2|95zt5=}RgF@{#8J8P1({}UAEtd=^`?6^vr~l=_&S&d
zWL_e>^g8$$Z`@Cm#734q;h@63vca4y{>do9Cn(*0IzB;ti0BXEqJ!8y0YJ55WfST}
zoU5l$7K*k%+1)IksT~8GXbzzfCZi%fUlAtlHBt6b*B%}6c2t}qfCQMoYWZDi(*7!E
z>}9aQaw2QUH){X*iqZ5BQhLst_btn`T8ocQ@b
z_jg-Ai>FSrKEM({(LFc=nbAGrL*!j%j0gxMg#)a4KvEh24;THEPf7FwVAd2^9u0n=
zL-(R1%Jf9r^H4cN{#^RWgsS+
z$S*L=15i}V_0K-g%WUgYj~mvk8rE6X*IOUftxDtuNLoe1dLbjDoBHRD%}FK{eXVwV
zqX#1+nk18kk!K8&)e)PqIf!IW;*}n?(i!cXA=&Pb>_ZIhjQ80JkD6rZ1D*y>4-D$9
zN1coG?M4hdXzA8P2Bz(!9`c5zh%pQHk@KpCembl^Zliu#hK12%?(zn%MTQ}6h@kZm
z-)X~(`)TCmk;h_V7v-NMBa95hjV`G^31uglxjl(&7{j9Uuh5Jx(nht+4exCkUMm`l
zS|1JGdE$3u6wEVzaefpF4BHBml7x+oc?^9+j6+6@(w3i4ii|xPjN{vlvV08P*GF=y
zj5FKDli5u!gczM(H7dMpkPR6rax=*lHi>^=Tt+gW+D}wmHVEEWHm;a9F@IokQ{M3M
zvOx~JsnvstYE@IckO}8FlSZA<>+Pcrag(a-2E1hxEe)osB-7hR6R9JU?K_hqq=^Ea
zDMO!0FLtwTb4I1lc<=JCwy=J|PT&2@BRBT-?#WFKkn}HiB}!I3v00ijV>c@h9qfNvj}U_G{`JK8q2HpAjUV*hH8n4NV6yY4vYO`fW@Y*8G|3
zj@GB6Y6|fG%CAn~a4>*420#d5n-l9$Ij>!0Le^)rM`x*8_3IVA_k
zF|~zMgGjGf-^^W!|kzgV-ssfSm2lv%A->NAiYfobq^(
z#w~Z=t?Tx3^7XA}HzsXPs_JH$Je!Vt`SDc;E!*&;`9M$LiyY@M^S+psXG7dj5alwn
zmtyJixxuqXU20$7)04O@wDf-l(F)G$VifbQST0_Tfxn9{Qu(pH*nMq36s4%IyfplO
z4)zLl)K3pa#;o
zT;-wY(&T`reZ$$tk`p$`ETBKNxt5sq3t3tV0SyJ@oU08EqDY?FOx=42jiuuE`qolR
z>;pGSobPQl>6xql5l^=+Axq^6j|Fa2#z`8A`(F_B`B*N^w|)?R$OAV?xmfdd0@~m?Po_mJG
z<#x70>#GM~u7c;FL{o<}IuE4ME*QCk+~&WbtR0ZRh*>d9RB=K>+;fsuV+_+osaqI9W8t$BuNzshx0Q
zsJ%V;^dW)7~(jR=D~p-@&%;4
z{_u*a+(!_QuR$P9-4Bk|guiDWNra}mT>t@JR^*~~H8RZ6yudyVwK5Z22Gs)0DYC3{
zO?gB+E$HS2xV7iam$-{tmL(XVzHWNpgK
zh!QU|LpCbnm~X9%pifDPtd@DW8{SrDS6F$
zsWqMHVeI19qDj&^itCo=RfLoMLP(TTlETqc7S_qF2hGxf-d#v-wOZode
z7bJC>0!YCz)*|Tv#u;TM#2g5~R8FCvzj$7?hEOCqzOz#)Lm1H-aJ~-;Ze1aj!__h;
z%`1k}PiZN33~Xx3s)3{|Paq8QQ0m#9(mvksbgrqV=lQA^_rK?1UrnWlC27D6)$Dw1BDbRk>R
z`YCuWrOKiBYD6)u%M*(K-d!QE?2T!kNfO;vZ9PTECumKcDAiqWyLa@NVA_;~x3_Fh
z|6=ECF*MG5T>BCSHOP{+3ujSC13=yaR8i$Abp>=tFr*fEkA%##NuJ0{%js*dkB}Y5{p#+E+D$x?9^5ycU%*rM2`#Mss+aMPL
zOe$mrAX)2S($3`ZI;=vgH)McldXkhh196V-SGH;9wX=BD$!app`|t!rGMWxLdaK7K
zPB|;b-jL(C@{ziSauHpoH@!Rp`K`LH3i=zF>v;P_wb$U4DfB_Ra4I}(#ww(m6%hnb
zBv1WhdbG^<13SAxXT&vTbQ-<#gLMQF9A2}Q3AYLIUc7MGVj
z=Zlc0WIf(i`smob!^QNiBHz6;DA9mKR5bvVHjGFYC`x>)Yn>zytfW>bGGMYZi75GP
zU!TfK*-vWfF?aGH)%VtTcAJvryaC`eg2p|jd4e0Uy<={^is-&aP5%)c_EPQDvqpye
z5SL2$ca+Vjp|Kh+0F+_(ppp+FQ?7sn0n#0}A$ENRs&Qz9sQqde&vBrpH;w*1mz;(;
zLnfX?I__SHZ|R)UeXi~x2)CN4yx}e{I|Fzt
z=OsAeXd?lKgm;4mSFA?9PkS-M$sJw##+F$72Aw8(k&}sbhpge)Gzp#AjG4?t4rt;q
zO7&V2;b4d#oUiwis3#>KoQbes9w6Y+Q9wHZ+W+d|@qrK+qNHQPv3l}BW@hS8nn0
zD%HeutHpoqX}3@~A3Lt^iubRc
z7V1lafZ&Fn&S)dg(A}iy%Mh>wT&*`qua}HrM5_O!fs@HP(U^tbngu>=iFPPMW0VsL
zQc(bD2Y?_tR4Ra{zxae+-WBU+7dx_tV3`8M5pv6swwyvu#s?cSyDea0wHX`mPsntca^%?9Cc41`;CKul*sD_7tGe$Nx3+YEX13f1L!6?Z^Y0!gfGN}3Chtmkt1l%-eujPr_f?((2F3<6(#VnPcJ
z#aB>f^awD+!pYM(yauA5N9i2T`rAyrc_1OCmxy7Q`du}CaEnhoJ$ke$k69JEOj3V5
zj&kk@xPk!49kIE`AFUL$Fzbu?Lwo5H>$nJr5f?a5crUpak5lX_^wZ2Mzv8X16(MaO
z;2DJ)zaPA)i8|45nxw~La5+o2`~(h@y&@
zm_kS`>o0Zd;w$d&4lrj=l=OKO;q=QE_N7x^quU{pCx?oJR?DCZ%obJYSW(_B!T1p^9v@C^bHIL#2b*G0UblA820Q;XsX
zd&z@yCDejEj?Nsq7LP0q>V}1yN~8WYpt@Gz4k)TrS5BS@Z(n)kV_Zdkpo&q%jRkv|
zj}EBq;{()46rUg~;OuE!5d#VDU`@IO`Pkz&5`|wF6?i9uUP{05FGA|K3Hrkc^whmf
zh0dJGe#BV>(5#ZnwFG-Lntqs~~@9`^ISbdq|H07h8RLlXw0Cg>d*
zRQ!k!)rfhaDi}{F6&T3-
zP%53}mBV!w5IlJUewP($oChsRt`}tvjI_~tVEg|}nmKJ+b^eqiXw5V0*@6-^IX_Fq
z7#CO);Xnr)O9YE$6f{5^r6!H4^n@iFRFZt4Ql*y^Hf{+vhz0q!N+h=8ZCsHNrqc)#
z_fqWbfxH}vs^OU1oakDYAhxessF4{K08TQik--|bPrWSt-d}JrkZ}KciR_(~IUJ|Kt
zUNzh!ui8?s`e>ac_?G81B?8KbxGNn_CKyJ`Kzm~F;NMn;9d%+c_oP6*GU;OWuD$nL
z?lz3{VuQLqrFAU_p{4HUfHguU10ew!C%O$wU=dKJlnSgs`Y)pztPvp{&Tkx0BgOYe
zD}qX0+s)71K2@6zmg%({lyM5a`?KOiZLD{KYX@zvkK4wG+cd;KoJlEzQDYWLvH5JB
zw_;zhutXs5cbJvSK_v~DFMV1aodQwLmHO?8*uJKGEQHM*wLLIx#tMmkZ$UAp95ZPB
z+!5_XB~X7Q7AsHOLv5}7ew2Gnl)?%`0cF6JUqxgC{A;QT*5RMDf~}NbmsSd*V{jj?
zJ)#9$fYxq5_BXyg()lkY(y<20C5@6<3S~h%tMwiV%23l*Wb$8PS(aOdOU9P__f%`xDMtbB3#H5n%wJt`wWl&OBr9iJcT{!MHS|rw4_m0g_Lr&
zlQo$=B;eTrJuax-nKG)8$Lt}v4x~auj(5Am!#iNB@N;ay5MQ=wP1US1YmpK{C@*1_
zCKYNfxzXmt|0DIvQEbux)@T_s#anAJLkEMP$sM8gGvRVmkma5zfN3)Bvc6fMpuJ$C
z{QdeFO%?zm4M3L7fT?AsDZyF2uD$YVCu55yS(ajfnaTckYFu8GlyRjqodpj7q67$&
zfQ%hRM((m?R9%c)fwwywT^tQ}3~%C%F-gmtI2CR=tvbSkV>HHwDbP~ExGTFpE}OM7>ZpREDi&OSRHjjx4nl!I{wm~bwRN{V
zdh)nk;1ikmyH@Q|>yz
z+Kg5j*u5ZCNFa*9O0zbf+E{pFy6}5{8s7Qxyt|dVNcoW)S~X#D-+bJR*R{FWK2P?}
zuF~x6F*^I9BRsui?1~fFmg0?_ZkvoLCRsbr3OxE-u{dpC(dv#8rswQ!EPwWYyC{h6
z<9Knx3}t&9J`4vfPyTlYi5s$mBCJM2$H(
zb>5;sgh$Ol?DOi1ecO>BsI@gTmZ`Dqf)m5pSoTTjTW|Rg5GP$c@4aN
z10VC8b*1(?h`RPfs(k$>3RZ@-&i
zq?*2(nwtr|hz?ZdzEeCs-rQDNx1&
zR8fyj6au{QgL=~6CO!Y{0FwVDA}noH%@y(e$-v~zrM6Qw@St-jg%0L11xv|ul*l<$
za?LH3ucweU!{6HGK;>^+PYSzJg{0c};8sm1zXTNdZmFDyY6GGlj}=kZR$yV+0PWqs
zTp&1+0ya)P3sy!t$N$Vfd$ac4k<{K%!w#mU{Lt9u$Ooy>qwp8-8btzB$nQR4T1Rr3
zJRry?t|=`@0@|vGMcrF$200>Una8cW6GjDMCe@^J+YQqa1@}j^6LufXE7U^Y{V$Hr
z{gLVZ|NpO@*v6O{=GZo;IiHVFn~j`}kQ{1`A&Ekgy0#h3v5_=VIVVX73DukmNlq0y
z%~GjUNL}jE+jpPufAIS0`FcJd_s9Kq)7lTcHm>Wq?-#UZFKN^;z{$x0iP!5l^M0k~
zxjCDwsN*N$SLrmRG!*fW4dQhou1(dOT-9=ODqf)j&ac|DRrh@h?MeOm<{rZG$k^@J
zDUsuE^n2f0cdACLn=x~~@IhQ^I*n5{^
zuH!ME{YpbSN9|+Y7E?~YlW6_-SH`ceuOBG=367HcX*T@Q>he|m{D0<>Dhd$JhpPO%
zA|>mcaRs*kl2)Dwddj4eee8zpE-8~CQ!466i7Zohx%T?*yDnqjE$gqK*XkB|>*(A1
zJ*^R0k813>MMld4nw%5YKxXhh?ayH<;jC8s2qFB^q$}HZAeOtBa&|Oj7$T$HKdqVQ(@5f0}jO)SzZWl&yz1pzm?U
ze`cfXQazlut*p-0v<^tUcChqw)BQQ=eIDMMZ{@HrbJVgH+9S$U6?fG1jql)=v=S2*
z#gUXW%xCaHQM*NpOg5*~FYLtY)>fLMd+|;EE0)cMm)tv?q;+Fx+yXtYT*@O22k=*<
zL4ktbz+L;y{C!6s!1m4Y;+^yM-VKtnZZNseb3&%wu&vE)z|;)pn)#d8NdwjcY1AX{
z!BZy32DQ5xS*NH|uTmo8r@QOMPmj)RHIGE#wUEam@|)pA+8&^ys;JfpX(!?a-G;?a
zU1FTN8LcIoWA`EJi-mi1a&#nyNva}?BJ!ZxBUzUA#IIiKE608ZmS2nsei3~3om8rds-W!#2&f
zc0>(X(u7~hCsqhU2`Psz4giy>HuD<)#@BRQY?Y?%T)P6^+rEo!$upKGjllYUI%J*Z
zx&HH?is}UUqW;z+(r-PyXT%(Z->03YpDd*ievGW1mTYXUcJAP$mP6&IvyPV+U38Gs
zwQOe0;ncWAdDX!4!rxH|w$bX2?QSM9Srp
z3>T#s@DJqsNjW>jR5BA>Xt6|&{JtwU%fE9D&8!QGNqtlH`+&ioh3E^zXf5=U!@8eD
zc69bwT&@^qW>kd$yxxebDSUVgAV5aOf^FZvQo;eeW@FkStcR_VfwcE4(a^6(z{p0y
zix1dv7SRQ`gcZzBX_BjJXDVisO!xa;`Q`6N=!H@Dx=V$mEtLYMU>A!)C>anP*r`ym
zm}wu-KHlkHW!#N;2m$RAinbgl>NyVEFU~K5y4@ma%&)L>$B_
z05lj`qmq?tIusB0ZDqS$C&OdA1dvQTTn-9i`pkWAzoWfuc3oe>Am}{4VhL_+&Vm`1
z9&6sW>~!osIrjh~0upAxHKGynQbf;t{^6hq+d<=HOFxixBCbWHsqZ=HBSj7#Dw~+3
z49tp4kY7SmZ|!{heQHlRclz6<_DR^ci5N{-xDxIm0B08rl$Flu?1|S8G#X;UBk8gB9^Rl3ZI2w$PX!B
zKl4l>D!5bMZL#X=&V$^HNkI(*ztDUm?r;K=yn_~cMJz4s8XQp+SqZW1N
ze4(rx-kqF2qWcrgzMU<7e2EPUW
zt;txRw&eOGT*8Z|!P-bCg!?Q@?4Yl4x#pOrXBCY1u`OSKolDvuTZ60o&-IzT@#hM)
zdE0&D|Ag8{Hv$2sWc=iv)E+^WC+U=K!~_^uM%NzmezVd39HI%TlC;4_O|B5lJaem~
z52i@y?&blI^wn&A+IBVPIC@ZxO&_SZ`eqY)BU?LNc=kL*sMrlKFYf9BDP&@Z$&>Dk
zAU~{5Is>v7z1RZH$Yf(Km)#R0DG3xw$ILis)vDxc!v{`H2UecNt^`&nkO-zbF=@oXFJX^04;RLnk1UX`isu%2U?tFdY8u8%je53FVf+umiw+KMf5
zlag6A;tpM)u9Q_OMtmu0uD3`0%iOR+JsYiq~Z!*m>p#
zJ2za3H^^3hoW)Qe|MRfp9@k4nTEV8-TBTi0
z<=Nr0?fK~touC>Ea-}*NEK$KyUu79EU1Fh^+_bnT063ZgegrU$Vp)ZDceXPGt^oJ!
zNdS;UgF5BggU8X`tS)JU19!8@jP9m|%d!*7uwAoMCuQQ?4cW0`VhRgl%S7RUD@&u7
zu^`kWQ<4PtGL_g(;wbWpxuIpziw`4q=4t_KQWf~Kt=kuoL^|`VJ(q=a-HA@n{qY!E
zeI8+9P8A5ODwb8AmcT;!**cTzpK&U`j&Zy7n_6<&rX<#7OXvEPhes@(FKYp(3Gm5D
zr6Vg3xl0c}idZ_`s^=OZtLx@?F!L1O;bK1;h{&IzQ~O*!F7mFMqP@f%Q%A13uYkj5
zvPq`5Ep7Glg4l+1qAUa0yW;T@>iNJB;t+J3L9ydrVXw
zv|mU3#8;7`>cf6}mZG0zeC9d{i!7GGdL&&`9oLHAcuSB~_X_OL3UMGm{b~5Lm;h7s
z&@UfQ!L@;Ps=!1>mcgQl0aK4nhMMUaWUjz}WBN&<6UF9}$8sIyZu34Ha#KseW~*6~
zU}iiXZedHhm34i)7QS2T+7v)-Zo@(Zun-_eZkR)vghJQukd|cz+e?=6*cLc#AsYU_
z8m`XB(>W33r2$-YqcAdl0ur5%SoX0~h8ytI=YDI(MLCqXHfy
zLQJ5M@3mtH?sHg&9xiZy3cgy
zDO9d0%3;2{nTjmWAA96Wcf^>>yt?o{Tmy|CW3P_6bQ+8m_zTb;v*i~o36IKRt4l%=
zlJ94KZq63Dw)_Lla@*i2#e#lfVO|Wa%=l;L8!LP=@0k95q4wjfDHM#TI(ylo#lT$JG~$hbZ>h+
z#2juEDV#1!4+zFdd=Yy4SS*|{u*eJ!mQLun5*bvU?giGqUZ8#TUHHHkaLD{5^%t)q
zhd=Ra#OmADc+<)KWgekUEP*8ntX%yvcRbI>)|cG~9n$1x`k@@T3#qL6e@@@AQCHF5
zGJ5<4Y>Gv0i}Kkpb-8o65MplV56TXZ<@|+_g$2G->MNCR(pJ`?2y4^Z=d`k-=fQ>L
zYzG|l4FSI5k(E!OYMX+s+dG?l5B96yF~;rIcMZNtFkAFONcvh<2u;hD%gXfla!K;)
ztswOgh4=MZWu!Mf=?8k#Z7!7_C|u~)t>+e^z4~UrvPlJBpYb(D@{I7@^QyWe=1f`Z
zYnV*exhk36=NsJ?%ie4Iv8NEJj|4X
zb@=tGvH66bis;ReRg_vt?4qf;bPi?TW>Dmrudidr!}{c^4NuX>f@@kv4_pgUP2+*NtUhcgkvj2BX*xe&Zu?;#3>2lsFU^g(lw3P07pJVgFh8{6Y;Yi?l_rc26r-L
zvS*U)FHA=BgwYpT?~>U|KSu&PRS`euP#50Az2lbZ_eZM5Fih!?y@rsph8MQkb03P9
zS$1^jN7rckSeALLjHBxXK?%exU3Aga3#2R=r(g^1;kLks4q-|V_cGBO|d
zH@T$LGhUewLod#K{I}}dKV|tN+3u7!qB^~ff)&8KFcUN`)T
zp#$01#2F4wz8cKL^Q_Zaam`mu%0?rylT|4y(XFr4OyP;Ja&!
zE?+u=^zyP3PQ*6HR&26rkFis79%>4Qa$@6ejQa1nAGK!i;+;!j`}6ygWoIFdOOLbihdl6ytCmIHs2=9S0WiA;q#GO~P%V!G#8MgNuT0G#tik48Ny
z|6kyx+Zq_KtSrcskBJU{*mQ_~PA*E4>B2PjU4_)Y_Ay8nl?lg}
zTo73;sN4PH5Y+LGVt!`Y9ZMx-uW`7|1JF*2y5>~E=`6kBMiX@EMSfRL+m-1W
zT;_KM
zSw3E4)3f*q>~QD?wK-ehw4!`DjlW9vXMk<_Q+b0Y;&)%v{gl6Jh!oJj)|8nV4
zSw4MTXCEPUx}W=yD!T(GG`WMWxrU0nm7H)1VYa$?R}Lb}gR=$D{jE?t{O!y?RNH%O
zi#Z@y@H2davjb;I^7)f`LiA0ImiwncL^l3r8JrR-)w8Ff*sJpP+R3{+GR*d!3SY?m
zn|Ll^1ZhQw7|t<0c@0zTQTKLdq3>sGuLous$FelI|Ur-x+uh9RHkc
zJ9*0FY(AjB`4P%=J(39GeDjc%jnMO0{toZGC3Umsl56?}TLxQd?m;P1pD({NbX@vn
z-RTQ2AW&{rEG@jED(u8Jbz25_4h;9GHCT|IhrouRY<@`g^A$=K?`ow0zYo$`L~V3_>Oh8OLikg-MCGp*j0hKZ7PeW0`v$
zt!Y26ACG;Ur@X&R3sI#d+#bqPvPfK+i^LS2)4j10Cl_}J#PXFSjCA}=2}7W
zK#cSg>#c#Dp92f1!^M1T^4M}`O_dYUzGL3F--Pk-^=U1o-N
zO&Oz;caDF*AEp!WU8MZ0@A^rLXA^omPbI+<^Aeg4oh$$`Z|qG5_FZ59aJv49>h0_O
zla>M?Dc?dD^e->OxBtSV0^QI*RQ3)%LWy*fF6u|cnOeR|M+KymyXTl;uSAk^x{3Kl
zJ#!HXKD=0YAE|G%)67R!92v7rL3A1JV5OXk8qhj$mb(5m1_IW=g2aQJEwI>k{1Ys=
zU}V*;$dzi7lO$|kVS)itsi0j_*0Yju0Skx>H&ZBrf0wDTJAyjsQ$}^{Z
zOfw}lsgrCa?Q~Gsu~MZK*xi;-5an^KPFOvMmt
zTGw-p#CY*XPKf~Xk;zP*1lbZukQ;Vtb=JBQyq>#8RSyeq&t6nAp3PIONF*~Q_f;dw
z-uMHHH>d|rmHJkq4`qsmqHdht`7JJzBUhks_gisH=&jl3pRDv$0s>KPT!p^9!{Mf?
zr*E5k3A2RlXcGX~`^2eyqsj#vKKW8EV893qlRZ8s$+Wn?c?`J~3C4HE{oFzS)4$EI
zeIdV{(}M_FarlLq3+Dt4+IxP(G?MwAhkQiJQ{U||4vY1ibhgS>cVSJAbu$GONRZhf
zLhriWc*yGz8H|~&%CQ{+#Z&+RRIIL)lkK8}2ETA=7pKhMEn7eNH~U6JJt}c_;B;;G
zf%qg)fnDh$tU+(zU&BcajxEimKXJtU4#&xO3Wf9>pB#dr{yJ*__UJTrN1zmA&W${Tft$o-t9nsNZZL-rvV^m9H^I~
z2q(pkpxcgldldoGO4V0F4oZzIMR>gEG>wK?la{2yxK5?9{b&au65BcFY!vI8@7cjH
zEkExpG)W$dXP>ARrBCA_w1?ih00i#Mo}1eaL*`hmc$;t*BV!46_;t#y62NmBFduOc?C
zoD7zqB}y2CYG2wdEKJI-kkDs@pVgJCVnQ-|<;B|^{l#1q&K#0cT15!7UX5DlAwTF#
zrYCQ?y^%;Uavi3ij;32kDU~>_ebVvlm}AR>=s{kK6q&t5nYv$1I|4u@1QUtxPNBsk
zNe3bVwO_WKx{73ytMI+y^b7VT#0y#eADUk+id_9H$McE-DB7&^I*9k##765G|zW#UGQO`@vP_kFtP
z@&^^2F7EKJKRvZAWtHi;Gs2jia}mxK7r$7?kz{)vMX(@b2k%(8|LZ<|>D`rZl%Pftok+
z-S;2_+r2a88u32_cgoYg(`0&KGAc>AmF}OPtqMyxZqy
z{&s^URY;(U3eR%e(0*ndnY^$O4Miv00juXIBhrSlPA9tjG8W)L0A0&0Qeh~S`wE}X
zkI%fQ%Xs-&o%J>j)6@*3(UspE>a6ujM0aDNBdrOO~}M?av*Ru(V0($oO-Kz7x(OLZYd
zCm}#?ij`@1em{LGsd1c*J>b7eL);JkIus(A6CSZz`EU82jk|DU&Cu`8eyw`e{E^Vp
z*y5+nZ}lcYsHRt2-Jrilv=$I^zWQ~9RTeiqFlF(g@&^8o6%>Q_#L_^RJ`gH~tzlWS
z$zl1*JypCiuM^JLjC&G7k=(oo#pMz7KD+%3l5ejpXZy>DQBCwlp1awQYSJ{;()(1h
z>hy7c
zR6NB}(9L_KS5{;DKjgo0jDuH^Jpy15cr$7R{aM8<=_HH?%SK2#lY>wHYnrx7OAtP3lVBDHK>Ia{#}kMUU{S7)CyIrJCW`1hTVg
zkVpYfFbf*MnX<4e6|(oTvr<5za7k`#G_^HEb$C1a+UZEed!ulf?4N~8;haaoUD}6@
zT?*=m9$ir$^b#tZt++)-bO4Ul9ChJ_97+sr8S~hh&^<7v*A(U6+`ucTscZO1V`@=@pmo#m^DTP}N}ej4g5U{c
z*#wHlcyuhh8f)o9#bZ#$9F14t|ExF~-{w&T6xk(E;muFD<~d&DYvqD$l~4-0vR^Fe
z+!0IJKgzdv%jWI}cYp`fwgk?JgwLg_RAFNf`(1;#{s|t?-LBGI6L8w;p>mu*&*_n{
zlZ!-gRU8BjOCa9xwtVIPn$TjgoirHO&<4`M#v@fVpF~d^)$aC@!#m0H8%$Cr+fXbC
zouw!_f)zV)Zr8^n8Do{Di|1FC$M)6ng
zgD|t=uIx73>t_D;eh*qy?bzl8Vw?z6(l_A&POkrzwQ
zQeT=v-IsixTm*15IPR+3uga)C-6*_#De7S*-1u5kLU5*j$m%uZ?|>6shclqg4sl--
zlKh^IhZo&EIMemQh^`LQv33aFI7!z9#J`Itjct3usA&{=Vu?le(XI;#>#@-R@rB>S
zy6L`v0<=lK+WB>M`P#%a$lBLpcMeEb;vc{7h&?^YDG6=gtcRn^AD@yq3
zyc)sxdJAr!FluufPcTEZ$>+;z*DKwba`FNLMIgYxT0)x%hJUH~GXl~AA_7(~&`55Y
z504bYl~J3$FTpiV3|y4wvGz8dUnhL7u`k&C^wAZ!md-hAG-Gb2eR(1cs&sw(gW*-w
zwwlyo*I|VMBTN+ljRmRCE*YnbqnwA$jF&~9*ggsfe*xu@5vPIz?R0qTv|)Nw?UBaj
z`qs+SYfIYcI?D0)T7Xz`8(Ojc$^7*n&i547Yh>VebLfVQ^H(nIYwPiZV$`b2b^Jbm
zCHWqPcVe9;$Vox^{0*f=q|9C1x@Qw(5ZR%a{FzLDvu@4ygcv5
z4PM!p-@LRlzb5p-&o(Ve=#8}CAbP~?;eOPpKP?Q~48p8Z=9DL1Kk3J%@Q|QkYpV0d
zD}j-NpiR#(y1z%O#ArbW*oDfux#}TvCM|4vBsTv8m=$%d!P>aD3w+bUXhzH|%ctHk
zm?ZY&X2;bUE48M_-wdu1_G1^d51dR=3%&
z;f2Jz!7f0adUSiaaBZL_Z(LX0s#SZI;tE=?*1A3ZFnKJ;tFe*Rh*rh0#M^=LcExcU
zWcg-_>X33Wl)5AQ>s7PBsv|f1hgrxuEox(^eAKp+Nk>o2Zt9HM2o}oHjHis1zGlbu
zQ>gYqgim*8PqF*1eb{%
z+S}Vuiri7FCSaZY?!xp`iJ1Wnww{ZE+25ZEjtXuxu(#dftnD31?^66_pn+9mv_t)kRX2}2(BRK*)9R?l54(Jjit7)}qulEK@NYkKMWFiD*kSq32aR`b
zLyw;$%s9zk_PoKKX~gtPNe}4x8ylv}7_R(}x@it;FX%DjCXatSVe(H%{QvSD{yBoU
z$gxj3vgbWE_Q8mX|GyAGd(vs{i?Z1Kn(mHg?g+b&^@rm<2DA5Lj7x2cBb@V<%wlG{
zeItsAYLpzTT}hPNd0pQI|GOpchm6Aluh`9$#89;4=Kk9A*M+N-?WMENUmiVdZer!?n0Kp2w@K(BL)c)2p&k)=2`0m=IDY2edG+
zKR@|wo97m2wZKhfoL}jQ^JL`}=O`Zux?Wpk$rBiuUUsR=l8HPA!=Dp>O|%k)58w+;
z8wS1)$5Yf)2SU{>2~bv`Tx;^FVvV8
z2<~L-Syx4tvH{=yRi?2%LZFG`PR(#YG?Mo5{J8n24~aW&y?QxfVs7-K=3EyyF5CWl0ijWfy>`1q
z;QvWVBYiI7sJ)m_&kVtopSWhRA<*JcKJX!V<8#mTHcuM3zt&-i(5@8`fN5P~@5DB6
zDY^j~{~qgESp{M4W&B2v$Q_&Cf4v;$L6|yZ2Jz%$UzOmvUyJ7s64tQ;p~wDHApWT~
zbUL*D!|+N28W@vGl|bgc>sigAY>J$&Bq39vqVqP5)yan@RkY#7y5s_i&XKB+0mU4-
zcSg{Cuw1GdQZa|qpBEkHI;a@RD&5;LAb+z8HY!2nkvS$v*vnkS55P6?Xb&39g;X2v
z=_xjK`)B>QXrj9lJr=E%_xmu>#mPcNCybVRnSgh5NyjuTSL1tea;8v`^iEDS;|RU_
zc?KwdFKGa?H>rB{bNki&%_L${V-~xDfZn|&nJ{_Dy&v8tg|_11uL0Y6PHbKyiOWLW
zo5|8R&4;|Tn>;u0p^$FiVk;$s+PREZ_B>Oadz>X1>!%
z0HlCc47wP>)Bx}*52^!B7gsJl_6;Cjy9Yn>Ol17Cksv+u(+%I(wXdH`k+Ko?qaNa=
zLb^r6Esf5hx$}-r2|L
zO=K6iH_LuiVOFWL#F_Nnq}sh}qrQ_X=i3Dnw5;fV-jyjKVq7;qh=#~H;6YF|Cdh`7
zqmwboLCq0J$!aZEVQjABHi_79N}ErcQ+zURzjF8VlmRBlbAR?S;pj^RxO(tZ-XS6S
zkzE>FbtFB9PNDbh*a;W9a2pL$o^2Pzo+v(E_Gd}N{fw!mQP8$5~@S?p4sq4G4
z{FNa&@a_hVPgXN(zPQhRvR}oo2feg>gy2A0J1fSF#vyVNE0(qMK!UU1_3Kc23f|bU
zBQHJi*_Zb&v(y0;(-HqDJ3>%`6Fko$S+a0omQd=xqLT9{=k~|2A}Pb^8y8~rs=GZ(1un;qFr()Mr+pCgN4v(9BZnFruz85
zQwLvTfffMt0|R3{+*YlOkj@PTeDJ0vj)1Qr@zmA2;zS&0}VVsDghfnM$!LH-jdWF-a1e_^ZY{{^NI8Na+czN
zl4o_|G	l>u$R9`#$d;_+;X0#IG2iTPqD5oGGg0uy61~2Eas&pY3iD?9PZ-8ZUgg
zM80D#A+A@U&Iom(5mH5XiwV?!p)}dU>@c01_^n5KTSiJVThT8x!=Bf!A!Ch&Edl0V
zq`8bVfU&=bD&-K%Zf-?2JU-b$A+)X(ktTk~
zJ#Ph*@GY~bK!3^PWMV%?#E~)yr*1HiZJ_s;_F23AJ_@d_<2Tc{DlG6K3^CWb~n0Igx
zo1{$dv2;S?UGbAF88@#U#fJr(0OGSi8W8pX0@N?244iNW%8K0H70a%x8Z!0;xxo?8
zy@ckKGR_gAtIo*{U~_hl%qCM_u|~#wMAo`L^Gc572eJ%bkOj?-ZXISs!DMgx87(}8
z9nX@yAb?{T1|RePiITVW7|=Cv`X5rHjD`T_;krvcNZVX|6$D)YAf_48K)5Wt`ulR8
z%;X3M5SZ6|1ZR?EW&!C6^LZq=%U18mu?Zpol3%HMMUwwN%kD0M>?+yuq7!ykzhY3o
zq9O(TSuokmphtZ8x=mAWlno?F0U^|tHk4+7T7*RSR_5DoNxm*jsM-T2Vb_As3rhe3%Z~K#y^M>=|WO5>J}Dk
zb2>2)3C4C!d|#iA9AQd>zi3K{Of$pL%MA2=X?v?h`5+3OOa^1C03;LSUj;2-eq5!(
zHH|#II!}|F4CH3zEWqk{1tU;mG{C^}vSwXBOII+KR;N+R0;=k8
z@RLaiv#Hq+tw~FP2Zya8J(>|f_)(+?vtEa}vBnK(-BZnk&dLoV{@>cVym)rU=W9qXB`n>cqw#Zn!_#PvMf`6z`Eb&Mpg
zn+!2!X`G~7CC16yw$}_!F6$u2g>4c2bN02D%Wk0fWSBJr2@l7r#X(>ZdciE02j2$L
zkE6li(hd0f|7q%`*K~~?(dkCr?ulCd7J200K9zlU!r~(*texon#+o8=68=bcC+Ub*
zE2=_x$i|wHopx#&fISo_%rNb@kRDqbJ+oxwvbU_7u?JTu@hVRd3sGbc^sZPaZm+Km
zlsHlSbBsQB?o{P-GoSl8^b|*%bMXug^#HP>BpklMF7AVg{B3f~&ue0YC#&
z+O*%S)Z#XFU@|60Kf!Io^kzH`gOHu+V1nc-}
zMdX}c(X4@cj)D(uZC=!l=EV^?4vooT4h@|wiD#78;=rwp)7#KN3`wX&(
zd1$e85da0(;-wN-4fb3QJ3UVv1N&|4e^cS>+pW(#ERi8muHU)}P@J+;R4gA%5&tCM
zr9|bn;ro$J;QTI0Fo6mMo99^89*tWOxS+-kAtm~2af#SXavm&7zejl5EpBG+moLM<
zA-AacwY5WK!Oei&lx3ySnzO`)#|kgWl72ab+p~g9Loi}XSfT*F{=fx=o;aWG({}{q$E98q@jYc@&R^~>aWiMCMpt?X
zUwz|{=9b`mQI-9Iw-~tAt(EcxxiY`Olv!ZNz}T`4_`3A3?RvzVAGytYMOSG%f26l0
z-1$C}un@vse-iIhH(rvUNYqOt$cCOGY808>k!+I!SF*nld69=L6R_ru+ceUO=wpsY
zO9K4>=)lzjf0`pJO1J&-IydMR-$tGveg{O;KeN4KF)nY;
zLK~kTIFtrX|2AR<@xulOzwD&k`%c)#5y`uIw}55hy(rE5Wc{HG;xFkxdk7+Y
zrb2{^1ZTfeUG<@yzyUm=;Ur<;`YDXq%G8vxH0E+rOi_GMy4V4097MKiNwo-(hHN*T
zuR|0ualP;APJ@no-65Z6D%W;eGx-d1f~I0CF)Eax7Kuz0abQkpp+Mom&Rdnoi0GF%
z-Y-S20mm7q2xduk*L+hXQkR$IJE{<+U8YIipL)p1t_~?bM3@WJGKqg&jPKaIwl!3l
z$G2fH#<|clF;i5B8&L${I|2T2jIYp0{L<=&5
zgAhF7fPzSo_E|AqTV}h&OCj>Y>>R_)`Dnt43FDyQwKvwJ}Rq>+1iqHmu=ZO#4Pm!be<*$XeyNpF9=mb6{cvSJcQDWSSv!&7DH9)4FfLo@Q7
z?Wv}6XF{tQkb*945~jTQ7`uv)Gct+W{PeE>zBWUT>8-K5%fgTEt~JzdsZgVs@1mL29{7&u{q;WO)sP9A@=E#-cL3
zTBd`Enq%DK{bK9}nXjCY?z57@@7f^Te|hBYadXERLzACj_7C1czC3Zd>y{tt0Db^6
zTS?tKZu&Qmw0?W61%OfiXHQVcV3DTRUw_l*IFR*bOB*asPd|w7d&LMGImzEN3A(TG1_o^hRF$+C@B
zm_{&~$#n2P_vilVNS(KJ1x<=ueB|b9z?oqXfcrD6zaK-zaJ4;D&UShu>MSlW(0cST
zvK^+OLtvk=F*y$&DZ=UDZ-grIHO!N4EES>j1)&KwhpJzJ9LCZ+1-ygTz^-7}xq)DQcsZ=V_
zGDQO9@m5=h^FR;C`X}v3XXX=u6prVmd=M1T0EjBoEe~Vc%!^}xo#9szxA(vyA#?pC
zq4FkYls;cN+Qy`yn*h%uR&aw0(qDeu**D3
zT=2&y-S2Fpb68qprjDa=1d!umg?B0?5nR;9SjVhsowQk%uyTi4`mO0i^qwW*Y6E;5
ztDd=L$?56=^dnvDD_;BC>#
zvsz39uZ(=Ah{B$Aq%ic7!tp+8q4jvMa#ITqctoy}?nvSrXA53-1W5wv&8)9@JW(TK
z{C@U?#}P1%n4fNJ%=a37c#=Z5rxJRbS-xol|3fq6DwU>g8#lb~M?&
z%YYtDNqu9kV`6sXzKAhzT~nkhj*bh@KDW2X8{>+l=haG9a=?fJfFV{tm1E#8h%>Fr
zL#Crcs*`c29H1$P)s&|%IRa8#^04DHo36^EhVag|z5Ea=EZAv>M|9ui;B3d4h7Y5cV1%bw35-04*KH-62O`D*2Fo3f2d5nlSACVEHkk0d&2N}vZa3*Gf|m}
z2?i+q$EIs}7C4#|g9cXfyX!175?Kjb25AkYlXIr#mcjKhZo8#KV?&mV_KAPMvCVy7
ziw&S9^S|Cd_T#RxGyGFe^;s7i{naiZLIA~@gXuHIU#SC4;^y&#$}#;Ipc5QD6>OKS
z&hS8MCuwu9c9uxRK@m;T^9fM|x^0iJ3~X*#0${LE+lROZ-SxDJ$>IPg
z#wl=CXEW3BC+_GunsIl03{FRkNjuB=9}*~UPqhSQ;W~@!M|MCDLYAYNPXlGn9)+hV
zk78LPOKNkLN6=d4?`kY!7NR=WbOaU|^69fwc{%LxYgBkvS+F*H87)u<
zf?x=)5-AX1aej~e`UZ&Yo<+Js0X6_HrL~8qhy`S4u|II;c*DHBwwF;fq=GsWwbGmZ
zmV%=drpg8nW}EvLoj4{(WO_;_v1Su&M~-M~(lwChCE8p-fnMR6bBoK{Kow8lc^C&6
zo=l{5;BAhx3-El4BJ-mhL-!kBq#P
zYKaGNZBPamv{avV8$vM|!Bki%VR#Z5@RFDlm|#W{yK}Xn?*3z2=&qja8U8Bftk`Lo
zu#)~49XnKg7Y06bTH6!Fa+O(^SH0qsC2|8T|8j(iO*v5WG`4md$qE=Kf$~qgBQMZv
zZha`4zj6}C)PjU@_Yhl-LLh7Cy8y$4%B{?=1IK9e;hDX7GdOGLC8i@_U~cWcuc(2u
z($tG-_nFeb-s3R@;?7oKkJahc>RTN0XCFL68xG#cI@91)cC~`ld}Aw%3jj3K@k5rE
zZg(Fud(X+KqmHkwXg2F4RhUtkAlIs!?s^@Q->+&;(uRAAvWZ2Qql|BFz3r8!ac}_az*-`1F`vY_mAg;d4ORT-~ekQ*KEij~E_;7wuI2TX>#
z;(uP*C4WM3ygb@RX7qco#CGn1+D81h`VLqT6OL5#Q~@ERK7i{k+@qE%()`
zT^3>4r0Q~f+5Rv#mk0*HhdCJvu#-jP6hh%5p~!UlL>>93q#+e;WuL^6&0X3KT|;7g
zL$x-?zfA|dCKR6iT|u#ZR(|)Csb}WUiEpRV2Qoa2dU(ghoWq#);+aQJ`48H~hoqk;
z4@dT0bLo6Ja1eO{&JpQPWsWoASVe6%-@$iIDCYQRcT-ticu-j?YHF{MPN+F2Lm
zI`Zk-5lf$he@9modx?&`w2vgIfaZ$eUQz&}LmKW8%e?NJtIbr_iR2Ig
zXf-6aA+eevl^=x`i6byBqU;#}A-#SFcg@@w+}t8+^44q*|n>(eL*;okypKS_2DP2I)aXu*N%K9cr0d_
z3Fuk#O?swW`OK{wDiT}eI9%$;7*N+*gDQ`427*k-Y)%(2Qak^=3j?W`SHKH(
zWM=~U*XV;tmYy!x!ENT&S?23Tn9wuKO$!1>sg8dTfQrX46bJ0Gq{K(D&r#@^BieRA
z+8|E$JQ?Pz!ZBevnWtalOA3uL+d5Zr@J4;{~<&$IcR)&1xVz}v~BXQiI4ibvFWY7N22fQevU%H0=yJ47Fh3XK-
zT*sHbmICb?xS&c%3r`ReVEyWDT3@w~!EuQRFRr)9{mR~$yOihmM5W3k&yW=O?=Y|(
z>4C%Me|dbPwN4s7$87ejq~(|V-L;@de4t}hcDgdk!?IdT1;yROZ)(XJyXL!8k6us!
zJAtx^ZPQB)h7TZs97XIdI`Wqh=%0T>&c8P7J&&3(sQw-%YRUWko}2}}u~Ms+Wl;9B
z2ouR55(zn#f;T#bwLKhF9qkDGrVDnsv&=L2OYoRgg`^TNRHdVWdC=K(EdqL(G#y^d
zV%Z#?*{q+QbGf!@}j_PIw>M|TMbZIc#h6|p@jfe3RD%Ii4JDShx$kkGiABD$t?*mn%wCr!=zyMz;I~L5tu}siAJai%a$bY$
zKKBkVI4RYmy6kK8VTd=)L+!gx)kd${&ifATj%JoGwb$o_PQMlEkZ!xAj{n*Ws>dQi
z4-g>=s9!6}weDyWVPfrDrxY-%LKIXxZoAPrEno(Jm)OVFad0du3=mDqAn@pemr9f1
zbLl5UxTSlNqS%iNWq)!-D(30V-b9|QjFCnuqq$qvUJ;0sFX
zqr4cQ-G@|a2PCEFX9je?T|R)!+tyUMiRdv9{Hh`$;O=|l*hf}#WTT&^^pO0?)Ux0TzLGUQT=WA
z&%h&UOMU@D7|iI%TmNEIxyfZ+hc;y(4}QYHS!iOAdc>xeIUc-3)^U~s9l^T0&7J7^
zzJFOmf72daNiuf;Z9=LEkypUqf#CHsAiFFw5JX72XIRfd>pBtERYW-(F#!?rZt3C8
z-$@{ZA@y-Yz4p=QsIQb7?!F^ODm}e!4g`z$a<@J09ktYXl=H%pp{m1~gy7DP)T;v11UZa_IE<-$Tu`
zp}QeV-1B@kzVSh}vfxGp!ipRqsvBj6N4kFO2HN3Yq?*UxY9OhBUvE6hT0I(X%f{Dt
zwBm+tyvI#o5qD=j@Ykplx$A8f|5aRTBxwGJ(=R;R`cNoIX_Tw_@i1oUX*PICWh!ny
z&+{>N-k?cj-?UcHV^mmBXqXr(%(Ch6gK!^EQwD6%!wO=@4l(_+A0NAC$yxSwW~}mX
zp&X0KRc%J59$##;Sf4S_$kY$k?)Tm<80fm4Eg>He2Ps5?`MNtPeALA`;dIZlW8m(5_cv+VqSKB
zAa>}im(Y%^q->l}e>pg=jbD2S$|>q`g)mi)g1_Q<&CV-{y;?XedGz#%z-z-QFTra0
z;VS}@4L;7k=R%Pw-iOAdXp{!AqV;49@G6|
z&u$*1L*CCPa?iQlj*Jj+c6b6Vm9MDPF5lapx~?+r=m-@9YUYE%l&2{2hMiPWy
zhFEnjdM-cc?;}sk4QKe;mXDn92!9#|ClSZE!ixL*XFi`-Dz$t${nzOnZ{xy~@{(1f
zwjfX!FJ5YfefjD+SKh(~>(lj{vwupbUawB+dDg>^+0~R+VtGg6tE{}f8?Tm8z(cb)
zpSxCb;@bvaJ-A4B9_yE-Xj~*Z`ISH(tT!)=KE&1!E;SoBV*WYhYGB1@ikI@Z{|yXgAT=fE{Wh}>&v5VQG)*R!=G&$rL5lyCQgc5Bfn>|1WgYI#S`g;vmLO*7^u
z4~O`a`oP;Y=z^DTl|^K;b}RVPG9|@qtzLJX|9NX{=CaKIsNuTxt>v_(uBH(i_Hp|d
z=inI`rI!aSV2<_boadXTPa01;EeEK8{uQ9e!1l$N%{bgPD;A?}8*QwBEz_O}nS7q5
zi6w-BWhNdat@xD0otCr*u-tb@NC}+qPFoAx@@|eibHt)Eh<+P*l$9Q6E)5l(skS>rvo;&xTSa+ve-(}YW6)DI6{8(-B=?e!bzr$4^i-GWaf_ZoBf^nO>LJ`*BjPf8&MVPVEo
zZ=&~3FVrR^Vt?J+D;s-s>Eb72dFS7Mv@w=q+Xi4N`BmhX&#cq<&Cn(M9%SlyXG&q3e+*q7v_OzlGlUh93HM
zb3IAyse~2q-J5n!t19OFKUo{F>PQ{CQNy#)Tb@e8N;RxNpUntG0YLcZ($hhm{d
zMr!h^%t=i&65@fo4N1J4gxI-WPqTzq})-%ZHB
zHP%0-s{eFmz?YT(zPjP`tLAPHV*3NW;|38N7!Wu%zlz%bKl7_#p|H=o4h>qQTW3G#
zsYTG158Ygu`~T+G2Z|E~5=O?Y-VYQ_OsG~R3f
zU0?NnoVw21*)O2({bqqUC}iPyOTt5dG
z8mV>9S{rusTE&C8|KLfdiq(K7?5%sq{Lec0WRCe$`=LtXBYAyaE%nw{n5X+viZSNW
z+kjfG#7wO_{rkGRjQa1@od8Q#i)O)_O3VbzFQ?
zCXL@XXbUDzmzSEP8Cl9oN4m+*HFqvJoVFQFMx`n#*}8E?*%!a?m+E#L7Tr3DxyC$m
z$Mm7@uC?dwqM+dyO|rYvuD9;mG`?8GSuVLM=`A@%E@({IdtAY#R`n^DhMKJ;xh%O}
z{`x9QXV^Pr*L>ke3e=pT5z$iC6zdg&hYo#R)MK=6}C)uUmBE2KSYak4fwy8
z-!(UUKlyQ>r;6fogP%NQEyNOX{^-jexhLzv{Ck74T#oD)5}PD{+9dt@;4Z$t!OlPyf@k7W;SWqwE=n
zVy)22^agH%Bu*J~$ns0;xjQB%wWhqaBt=qp%UE>!1MMH%JTJVoHKoh}kNTQ=k2g+K
zY(Slv>8-DrHTv-hUy|Vw#kW9%Pdw~0-{kr_MMayA7pGk)dlR)XFDYc(A#z`O7<0c<
zBnuuU?I_CnxiCiOEo=Q*lJ(oJwV|4yVHvRt;R5bS8(d%3!p_=e7U=bAk0k3prg2$5
zC6lA{btlDQJB(^ctMemI{6@N#{rv+kPS8+nn7@yrsC9
znz3;b9@W~d3c5-5O)4RL+g9z-reyhpOJnD_ME^oZQb(SOkhGj7*iYwK_!i)MF@73|
zG2QU@#-)v4<~aP0wr*Hid83U0?^J0NB_t_D&)2zLLm;kLUwxtcXwuWyU9|JK+?r&8
zq6;zCJV{SmRC=;Vg4*5dptWw6W>B$k72YR3VpEnx(+r%vy+Waf2VHn;x1xPi<1{P0
zl2>O#+t!$?;O=5Q^I5dql8wwZ@pGUNNxM|I%S>bhG&C2>bToWnJse*o`G>jCsPuPU
z?PJ!4^DoSGyOU>}&iG_XUrEATj8IfaLua~gSsND!+a~{7k|-51d2AD-a>(*EM>1T>
z9lte~LK9}m(w=fXC2T*yjOo(JSaE{5KdYH0%f5=o!UyL?=DFta#*&iS;i3&seD7WC
z@TnZ~muWasZ5>U&9EP_;Kpj%aR3<9nPVivt%h^!VCjQRgMf*wZdDnT9s~#1c#qA63
z%qg9IQmtV*8P2x6MXGIgo*{kS&&+%myKaAe2rHIJ==*84Koqw3ugn$6$oz%+w_859H&U?TM
z+d=|Z3jUhM*khF}c@~8Y+iyb8^-ObAV+%00S*`Rs;M)K?&Ixl;Oupt#RUWeYPD>+=MoXcwwpN;v{3`u&z;G{rgrOEj?1E}>|eTC?rK;s
z_&y!hn!Jq;M+4c_vnGs46d!8=`O1GDy~w;v_xT@;D-2rG%%VK@ST4m*nabYz@MFIC
zd*H7>8}3Rao03wjc`}__Px;PiY!t>A*jKX33B`9E^bevD!YZ(cJ6gBM)zpObQp)s|G*
zwYI(k7Qd4nuKo!R;IQv%6pcFrn4)$zY9{{KfH-AWyikOfFFMP{1bpVFrX|-8TTw(h#bATn-h?)!2EF3TJiJ(M!lt-k*?vk}Cyz+Sp2bJBE#g(gu
z0$PW5^M%!t*x{{2K9rbyp3k`lD$UuQe1l@sCt2*Zf|Rme>NF?YYvwx)3uNcKK|yzD
zjb&A5Cw?KUW(DM^T5s&JW0Mb86#5iR`MRIe1@<9tUaHX{`~u|{UXR~qK2oIFgQ*Y6
zchs9j3jaI1bgm$sZv;O<{432YumVv!kC9%3I$Bqm_laJRrR_;J=vifz1>loGfvf;7
zj3pEu-0bN%?AphbdyAFyZ6tF=vj&9zLG|UYz;z6hskH9R>(18Eb0%gXtq~WO{*q}<5ryXVUxl9e;ns@X+mr2*Ni&y
z_aSsRg=G_U#AkTotd=wiS{y%4RXe`X7g`GbpGL9wjpu8g`@2=8B)`)=Q
zq@t-}!^dXJVOq>IIAe+WLqEv@2V%Kt%T{7tFWMeEqY(QS%)btD(;ydUR4B!yFuPsw
zp^z0GaY>RU!VT@#t(<&_;-TqMDd|hzl_g>NexjMvg}UkL507ujNJARTp7QscCZFW-
zqr?d@zRXy9cIPTf(Hi}w>A8oiL@JSz)RUgHav|;LM&CQQk|SU
zN9iVOe#MhF4c>#6Yyy_FeT)1)%l9RvJm0}IS(K$(2?K}vTP@K!3&}B@?*}dE_A^?d
zRWm)Bs~f`bTo86?_$E5>;wZ^-!HC9{kSk$0YFrJ)k1sxuwbGNbc?t(u
zO;L9@EB<&b7E!E=CP{c|F5fSB865_Ysr}<7X9a7->Hj3<8UkhD6A;~AhbKr=)~@#Z~ap%&T)S^
zQc!)4w^?H*pgOQJbqFqp{Y6Fi*iKYGGww*n?J$Y~+stv+t2dXgu^7j;T>JEgE-3jl
zQS6kThCTHd(sR!4zb0GVRrV_(%UbA_T>Itp@AM<#QL8KWZ!vnZ*9v5+N{aCg^d>X*
zw=21<4&U=u*a8-xd)n{SE%zQRww;z8y)M9X);MUT~N=)~jfeJ{6ck6s9v@Fi=`-Ms_~^j+F@tdmU8LD|Rwpn{spQr#ypX
zvs)&SH>-u6_`bY&zUDYMJ_BpSbDzmH`!5O5@myFBYH=da1
ziIoT4VSBxkHOxt1aE?{`JKs)lPLNvd{nKVgP`St|Shv5r1$Akc9+|%Bz|VVMMx*Mf
z&#TyoSHrJXJ9s4;ONib61-Im+UM`WG5IvS6E_j%9C%bfPaNS{F%SUg{NAs^#SYNN3
zz1pZhk;6%}x*|04w}EwTMC~ZKp0@Ui@%u(km;Hx+*IHmS>50=OYldB>-km4*%T9Rx
zA*D9n#&*u;rKyuYecs3TC0EV59W)BTRCc5l)W8-5tRc(aRPHG3cH2k0oTPdcxbyN
zNJ^<7ZSUye?wycl>}n8)gn;+$Kvp|Yb&tZ*PQfSyVrGGw8K40fhz2OA?*Wy2#KZ&|
zObuYOq1>K%nv4h9#3|68z+2)0OW7!7)BAs3=5TumH;7Vpr`}Ht;-*k_7{EUNhfK|h
z&Q{t#%oBt=M4uaFV3>LiL>Z7%&h@~I>>;g>Kjg|&?z9F1^x&kb_qWebn0k^mC4;Fe
z!NAJLC(nYpXq0~uA0v)k@+f9D2g*3o4A^-DV^FLNgP%mDgzp3c+#jD5r)V0QA0?Yi
zo(VB&_*lS|=4K8VWeH8@Hb&4WUTW}J-;|f~>ETrn{gw0t!;i;Gdbs2#CeA&VBYBA1
z8Jho(JyzZ6E#DCIY^u@hN6ntlV9E69y1j66%1>ViOH9bV{ySe=A1cXrOOw`Z3m|DJ
zcJA;e1IgjDOjO#X;PJh4?kSq6{lDTqJ>EbRmgYcDuBjs@8GeB6L;USwpUhK_0b#%7
z(-Ro!R}E7&W5T|*lKosMBmj78PIU%Rxc&X+nLwl(fSEHr`y<8hV8c`$fbzmTSl=BYaTFr?ZVP4@TKgxY
z|KEPn{-fE&Km-tcT7ssDkAT~KX>UWpW@9b*3DUuM}&Tg_oKtV1AONa0oe$(-%u+t$d
z48TVM;`MIJHkw+&73~-O!(J>p>?A5IJqk&N@XSUj_xy;Ch7>$IxOCwMmGmQ7Av#qd
z0BIP&$)Lns0&sK)=i1LJ*S1jpKjMy1SM4Cl_oI?71$2@wCs@P~Tz=)n{E9yLE9lg(
zWYw&!v0s9TF|;v?+a(IOVL*z+VaN6_ick#wQtb7kp8+L5e<5Rj(%WKhrA0-h|0+3(
zNp6g-kk~Ew7o9v7i}erSB(K#(2b5g@ReCk9Z#yRD(T{q&facG!o2I+BC4N=E`CVZF
zsk4Iw82~4%Vmht{+#Wj&wzyK}dL{EmY{7}&NJ(n@_5U9HJZ!c2U8ow*4?z(x*W(?@_
z`?LOT`}xn`Ox(XVEw0SC{mWnR?OaNzx*o?-H-yhd~4zB(^jK13YCgJ#B{U_l=G0aP%GIO3*SW`QWi)sOELfYAq
zVZx)CT&Fyzo5DoKas@9Wu}FoBPUMSQ)R^817n>?3Aco*XQd%a`pJTFWcS!7Mh2~W#
zt8}E~T#f!U;qQ|4szD}IzD=7BC8?!m+cwW9&6j1CTY+M(JBP~pI&HpBYs_v($-TU1
z%*1>CmvS?PQ)zYM$?fP*Kf6oe?PT#OubEXY
z@##`&QJwlbvC6yi4HhP%VK`Z{8wK?>xpG(T1)P*Jt~)xfxEKZpt&LvzlI->fEMnfP
z7Y92>SYDnK0Q~n#?&<6R!*szynj(E-Oh&RwkcNA5X`}0}KO^91_YZO#;2anJQ4x
zO#s-F>&CrJ^})AOj>YZstAq6VkszmW1yp0TQ<
zo1A`Lcg=|F0j<#7%Avj}PAb;wn!bMbR*_p0kFTXg)uKM1Q8(6rKWLQ$0ffB
zWPv|)EFd4
z4!8
zOi1&BnEkio1u||k&YLWJ0KaObV1erQ4}2jjhVw??kLAioSw|Nb{0gX{<&DR}()i|ARD-TsyQn$HhqZy!^r*tC{RoY0v$7ySI|lVEVW
zXe5n~8D1L3lZLWB_nAN0Lh3im+ncoTCu!B`vX7grahq!*GiczB$lKiWy?%p4rE(I2
z2?&Nw1ZY?_Y+5FtE!ixn=kyr1e0H$2VQC?G%ct1s!8n0NN|Um5zxYLMrN}JzJ5Pz{
zyCaRjA8qq)HcU{hgX@oVUNdJe2HLTj=?{
zNvq&qX+V9s=J%0?n`zS0R#$&d5SsEQZ`t4+YSib*wU3V`oeLO6WsAZ3+=}$u$L9DC
zZDj{>VA>GdcTY~5ZCwxuLk!Bc&x%LwYQ@`LX{w7qT@(Tu;cv8Py%DxaWwZ6KP9^FC
z)j{1KzoAuK9ee=N^W!7p0^xruN2<=
zOq6S4jC3LVWP^tEmHRw~z^_ItgC_I04kqlM_cmI`+g3wRUeg35mPB0lO9rMf6mGe1
z#93B8(x6XkNiP$8a-pBE$^H)19R>q}tH-zvB=da6@*kr&kbqZaQ`_QJn(}37rN1LA
ze0>U|91;8YQLHX#iD)+Ch=g&P0K}0jvvWs|A4AU2G@>GWl1H0s1a&o11=V*LaLx}6
z(zD_>fZ3F%`3{6x5OMG~I^2hC&uQI7?@tQ$OdshdhZjH|!SdlWmWX5&M=DVpXb;_l
z9~_pI?)b)z5IgD6Hto`iOqc!cFpIvR&&IytyQK4B
z2oBY02x9~)Fm=&6N16G_5E(cK^Ff=GygosvYf^#Z
z89{``^9M{JND|QF)=AqO!fgXFr^F!qcnDu){{w!igV%V9;QM1gJ1B}uYuA$n$lXFL
zREu$$XN(bcZ7j1ve7vQQ+)-c{v!i1{hJ^MPi3DL41s7U5D
zoq6ZBO!wzdAk99@Q4PipT~8wN9$)|xgsrU$|0Uk9MVqQ9tG5q%Ok5e37aU>IMu~c!
z{>3GR8i}9&q9-@rgGnMmfIDF72Y`gQ^yC1|>us-%3ZSzJj?iI{`k<()U{
zmm=l9UhhgK6D~bzzDewL*J@+?V6w%3TW{}M%__gj9Se2tn%T*sF}-7Vag4XtA9oBD
z?hz+cYId))e)-z3?`@RtXx~?QMlITU9MiZhB1;}9OU!2lKsiHmpXIhBl`gsFkJ;1j
zxpI&6b-BtwM@5q4sw{2b|xt9RG<
zp-sev4JO(1*}Wm1q3&JXF4w#veV1^O)*Fj2>TJF|RCs`o8?Ad?uiMsV7JJIn^xT^>
ztZ7YJ0uA0Co5jXM@JD|?StQ(Vmb@NGYe(lQkP5TF81#MNw7@o9Ns`k2`iA@((vpwwE2NCDnsp9)41pLFQWZeyX
zmUc`W{@s!)HnHklx)H}W3^doxs$x=
z;E#LQhmi<7B3zIGJ9gqqR%v=FfXE{7Hz(pE{R}`v##3Uk)v!bWD04@SEt4uZm@)yN
zWFKloMm&Tku%*eZd3#%Fc#bBwel<(dobCPv0+o2I%kCAmw8bMl6p)I;u&)b7
zWy9fo6bgS8%w7b;*aqbuTb9`%E*qjLE3gy8ZrUDM3WTgKLtMNVyU$jtC^q21H~8$xU2Lg|W3M#<-7(!6R=oLfoL61H2UPn8NmdEWP
z<1Rw3RP`k`FAyV2J$zx*kkkhwf1Lm0G^iMmW_>7qaRP_`
z%0A6>nQsv0$jHq=0&C9-**utllj*^+GOt7mRynL99^f1d*o(aV52F$V2~56Kuy_hO
zihWiPK{mG622F@_l1PD1v2Fwe1`p9AS_KC>ZD<@
z_NZF=6{^Dgpi*uymKTnEPy@pq&m3#;(Oo3Wqg<7av?O0+u4cUt03&OdIdbK4T0B89
z%+c0d&DKGKaa>u1C8C$lqy?f
z7{;uMX@;0slydXmt(zsCzBTDp_R@ILZ`U$wqg*6Vu@i;zDE9;0(xc>oBaj7#WnB>m
zzkEX*GGM3QV-vXe;$JkP4{GWyqaWyBaB)WjGhn{6@XP);Pa1=v#|A@2c>FKW(6J`g
z9hpY-M~S4JtX3}P#SJS~2~d5n94PEBAy#dJeXr-Dj;|5l5hg#u?`OeEw1f76>-86B
zmow`xhSjq*-1btevjY*fbcF43?)5AfN^W>&bWNuj93fR2#--~r;88EwNiS||uH!3=
zv)JcaE#4W~k($Pgz=(b5ZltD^KiJhvvT5Q7EN=PbSg;b-*4qf?Nq`*h;h_qNhGh8X
z-8Q6R4cr5D%Eyg=qXqjPjt$z8x*_QtR>14w2U{;PCv^cw#Og=@WiuQumxj)h28Dau
z_li30)^Es_+;W(Veh>w_9MPrnUw5Pe!Vuru@jekotrLF8v53s#TR*4!l2hU~kD4Sh
zBcjXvLw6*eNs@s)$=9lVvIXXW{8D&ji8ET2feBc
zpu*&##nc^CbtOPy{sQk|p6lJ0!ip7R3trxJIjZ*&=x%%bAA1u<{!LAolw~yU1U#Fm
zzuN?vT=nq8oIW@>5QcJ#F-bm}xO=v%*XZ7(tstqTQ2q$7)qx8d3Zo8*%?(R?`28-<(#1pNNU;?U5oR)A3aJjc&h*v#
zuE6vljxa)WuFW|HJwn_J@8DR5BO++lUecg9oe6LsE%-??<*`U4Ay#e$X`aWro)4M)
zkYgzG*p6BwWBK@bEVw*=Pj`PP`p6#*C=3^*-+-;_F2Fiv--bRvd57|cE9nj{g&+6F
zBU&w{thSfoNpHwz!TKs>zx*I|Irc&6dD4s{`0Uwu?@M*dS;R_DfG;_!ZFPze2DhS^
zBK3L)oTs_g>yGv1%`d$FY&8XLK71U^$wP<06rTVLi0)~UtSSvX$UMaNL>K}+#z#XT
z&~4M1byIN1RCLFb)T9D_dstvWc5WiOzqveMi-d~0bN$!%6rh|GwS@XxLjO8jePIH=
zT>)=UhJE&Dl1(SvZag_+nH9%EV3xBU7g3Q_Os)=KZm-aP>$3(db88<36F#2o#)C8D
zNlqg$A3h;vIxi*=(|AORtgB+}Vt&G|ws1ZNocz`W#WJ1WCqX?P^^}3{UM!TJ*M&nY
zkb}CZAZDR9;`HrBrG7)y91sV)P|
zKFfOPpb;zJR@Hx;6gOqS_0^ukrs3fVU>1joQ~NV$9$FngZ(k_*Cyx}T0H4O8zDmE)
z{S%f_#T3c{Jfx!ojX*h;{DFk>r!XLn5#JNir)vPtbU&MP0nhO(c)>AT>P*?eh#qlF
zAP3Uy=p=H=rOX|V446&4?gEyOq36e#R~gLu`_BLd(vcOoKMVD70u6|Z>pAtFM8ER@
zYCrNdta|khW%!%5Qt1kFNjtS*9CEqy5kFb>AqB$(>
z=9zo!+lP>m?+~vO8Oz#g;EI0#JrU52{@hkp=+;O3a|p=dy`zZj1i_A|
zXFIp~c}i)EE())*Ugu=res^W&9lRR7u>S;MiJ7a?{Oz(!`H0RL$?XB|XH-2e6BOS3
z?`l9`a&iuj&MnqnnQrJhTG;IU6UECOx~Z}sZ*n3&d<`?{%en5zgs
zN6R1VjWYLtQ~fVuup_*mxWaaA574>q(L#>wRg<5#A9_33exhX%w$0h6Lpi72*Wg;{
ztA?MYt1l(p?ECbZeR&ZZcIdHej=kaxo@T{;{>M>C&p1PCY{}w6mSN;?{vo8_iYH^Sv
zat%{afwl$_18SU;(gzNBB#JT%wAb|v;3oFSoLpZ+dA=80B>bB?OmM?GRdTFSFd+uW
z6f(w(0*`zg?)#+I`{l+p<{HHM4|B^0Yt}HLgY0;vsrl5$$uKljQ0PaKnDis@CTTo#1hiFb{eaI
zyy+Lx#*i?lfMa=y)N+~A%Ci00m!E5ki9)3mZ>OvQ~evxTN+Wu>NNW`&66%GAuPtgy^%TOTW%
zez|}8-jDlVIOlQBxz6=^y`Rrfef+>__Y>hCqplh1m6yS>nbCcUXT2|73^xLzn-HhJ
zwjdDImcZ?aOD)~uLc{H#M92SN6Cs02mvqr*-F>u(ert(V>$VM~KC_FV$jE(}&pFN!
zcM7yM?Z)f6Hg>((r;Z_Mv)RCk$4be3$#~DHhu+1AM#^TeQ6JP<#8tV@2_hKkFO8?zWvH#$C*F+{XM3kzyLi45a4ug~{z5y~C?VcrG
zA=rMHg3u#2%b@A8ZV&Qy;F6rLz6gbknVJf5Cad;|GF~QSoWQy=resJ1B
zj9@*rpl869ttRkPIiMzLw?WvWq;0oq!y#!C?8y*hxXr-!ky2|R;X-3Dz|&J;M}P#1
zeyvjpDo%ctN@)b&!F49}GW77JCMKyY?VSn#oZ0UnM?U8m{Wl8Qdq
ze)FaQ@ZkzPkFE}+wf&K*!W-}*G;p8d9+Ee{U6ujEWQqi*RpWaOxPs)Tx^
z7TZKrB<*I)gMgxP0sK{|fout71X~$FDQBk^Q7;#sJ}7HBh7vMy6CsH*u@Xer?O#>C
zHc0w^-k(R@ANX!@y@olmLxl#UPAACv<&_xV+{(p23~UXz1YW8UCLeF=YJYR*Xhopr
zsqf$wr1Cxe&B@-|d9gDr5r&`rj+HPSh{M>U5iIYi_bp?u*N9cv-
zf0(IqjkKpvn(TTSCtTx^C)8n%BUkxE%iEf0OnX;+X1TQNG+%bQEq%_Hsife*N
zj736~%YnZ8ZW)x0v(Ig8F6^=kXFyOW1`FKQhDp~p9RDq34
zg{=>rGCV(O5j^yuDbYI#k@lGH(z7V-M3YQ>2xDLUC8;!E=B36S7I6v$u-jmJ(#dj^
zZh>OfSV;nJ4x{u(eBk5){8na2P|rF5c-%@2er0e4)n$x3FB!^)358D7cPPowtTfw!
zWV{_v&cw1UhVnr@l7geJO|Z$$iHB9uBTEYI?XEIcIdICN4IHA5!k-o9`W$(f>Cz&np`#vc#b`_{+c6y{5)7y
zxa~zDH}lR<81aq&04f5zzSLJ3d9Y)-ZQ*hBaP+<
z!U-#@PsjSDPH{SA3XL{&`#x~yM`ty^`0(;tYb=`k;}8!~lLRReLU;J{kxm_UZVk-2
zS*3&I8J}HQXh&mQyD~7wt}?4tvKI~R&EIp{@A0-9P0NQaL+L7^0&O;ZMXLV>wG<>~
zyNDYVZgL0JBY!4282HZvYjYQDm5?)r|9h3GM?DFOxc^9@VTK7`s
zqS_OLkKwAM6_HA*ToG$hKP;jSh^bn`{o?n{i&AxMYm_GXP3=cXhMsk@S4SN_&a^&x
zvSD}PG^(j!!YIVJoUW_j?(R0|aGRP<9QyhQjETnB3n5n+FINVur3IkMy00*9EIKIX
z3ZF-7<@R#0o&v_rVq~J_b}~~Fi}X!nI?c0pzzdEC$v#_euEN)u0>=Wl{EdI_1>spN
zV*pU1fsF&t8HolbOCY3PPA0b?n#Aa#80iZr0QS}gJsUP4<;=g+&v2~jC^pODS#lv{
znp9+-9x%@eci@Ce0zgv3CmPtW7mSBPDt_K}33cCDvMJ|h@z^0aGy3GMPIdrK;%Di1
z5yRd>=&^8lCq8r0R3^v-MI)#m>oaGQtN{!X*$eVOqCBF8(x8qDL7jHJijFjLkpOHW
zCN(U|x%R>`NyCjn<%W6Mqjc)#0g3aH5=d(JOyX+xf(#;zR312{&u;xQrfTE}(L{jM
z0s5_X8=%bn}zxzIGSKQP!EoB;B3c0^~KfJd_*mJd^w7&i(tHb09K%KY4C!E
z=FNl37+bNz!Tu^57Z%>33#==yVpxU|19pV5(g-tJs<&_ICQd}JBe&+f=r&UZYTwUs
z>?n?Y-%9Ld?9mvX&_6pmaw?+;5(z~)bZ|VTpie3xAZxyKUBZ
zPa&15*}<@&vGOVR3f5cjbnu2>2Zz+Sg&pC5m@(T-V_F14xM`$hG5S?TjrlxSXNq}v
zcH#qCcNBq&08d1qFlOR*4^JMn^n`i`oxNVJMmXj-#g2eW$&W#{dm~UI;JAddXC=V=
zPLdKDj?jRG)H7YuiFS0zbDlPUQF2`YJhX?ZtPN_Y82q7h%GjV$xfhUGrAI;l@H}9VL_b4@Kg}-I4h_5|U#XM^
za+`;4pjFg&gh14uYS>cX-U1V+Ft$e0u)+u=%bOd8;nbtJB#Z<>#2a6)*MF#j9^p6i
zGmTkOXaGP&zzwPm*;x!W7R2G&nz+{Pa)TQNf>c)Nfu|Vv+g;3@{T3ZL(HJ&yg~IOz
zDXp?TYGN$%(9%KYx89g$w}k}Mch)kmA!bM8MG7OA0c1LrdDaU=8?X-Qm8Qba*dIM+QQC78RhysoNph`BrF
zglz;QXcXE^W)gc_Di6RJ58zb(1IHu}pFLosd9V|lZ7gQ#P2pU#d41L8mi7HbeiE!&
z_?c&OyZ%OIzJA=bceEOG!btuQbU^@98RNL_Rh|WNCq=TSp49AR)xn}s
zi!56QCfdc-J-B+4*^?gI#vO+O0R-E9Lyl(?&Gy@K<_-
zkn^vjgb!I{EHog`YzfQOBZV*h#AGpIY-gWwdYwkUZQq!bnP5+q8NX8~$^#vq#ukv6
zo=;DB#z8DR;Q<}fflvSq-1_Rt^&5L^d;Ic?Z?P1xVkZTDOyjzc(-bkm-9dnE=|vTe
zn{Y5jFqsGUNpSQ?q<{7B=Z8DqEvlJ{Sq@z0^(43zerp+>Wt+rF7rS%l5C=N==T5GT
zK-;$OxE=|-NPc?9MD~4k(cf>htBdn&KFc?r8~|iT67{%OX=laJ}2)6%Yiej`Qi)gDtpRAWt{Is
zkV1LD9kMzd5z|oX;`O2z)Pu6IY0llRpKqKSqjcAw)7|%~8v%DG95?32`sK1>l%F&6
zB3(xyPJGDyXE6^^D21xH@7p1;NHi9Ccl!uiB8uo{I;6&@?<!8hEteuOsK)NOouR4fb?(aMEJIYo8ekbwypKrN
zT4&z^6_6G!IH@3&-p=fA>Kp7-unw(rx0k*khQ}U(y0)d3#9q2?CTrUZCg5cczkP!k
ze3Rg>4hc@42O#eTE!ut0*pZkv5fBCvqvr{auUDt>{Q-P|3*mVE`vs#~v`<5-A-ARQ
zP;a`f(U1m269Q+H3G5I%N^eNPiz;=lJsnxJ0OnOG22*f
zmfKLA%Y%hKxrU(7q%U4L;Z
z?rkA&e(ZFsHUT{OD{*(YafHwt$l{2s{GBkcdQ&)sHwfsbHlW|7$;K8sxDo|m*-@}#
z;Emo`E~(dlqYr=T;P8ipg608L5AveZ&#*vy`O?uScyo501Dy5kCoCaCytDYss36QV
z58~NzO3G%_qC1yde|<7a?$hIwH@#cM`?}QPcN0$;a#nln@>rgFW!kf41uly=7qy-q
z2w;z#fPy}h3$~A;Kz^$%dJWT#|GZU?=@;GPGi-OP(rzt$_i5!<c>)ZnQ;UVBGP=Qd1(E%+{Md{@+)i&T)
zbj)vF$l{q=GarC`#7Y5J1qA8^V--4f@AI*X32iREuUSQ&MJ$s
zctZz}m?k&jwtThQQL+%pGhQ7`
z)tDaeF;2PHvAvJ;LbQv)=u}0eEO!XroHW`r7MP&
zBRm;;@>|-SqP@`rClwKVEab%$%clc!>?`|faTI_}%{mS-a_8#AmjL9~XP-02d?0O&
z-w&KCA*A5#m0;Zw`
zEQ14)UNeSr;lXFr4s~?wH@_cvaCZDgHq*NSyt@H>d~bS19$5|nYTLWL9Q(1Yzrtso
zozw|YL4ZshzIPfOF3P(Ibc4+ikaM*IDU4*ZQMld1J%tE}5;pY(mR)~}+jbZpNgEHq
zLoM1M_!Y6x{s<3_*nGZqy_{voWjXR7=T5PnuCXre=3X4qWiUt^I}T|Ny}5j~2@*hu
z*(Y*;%*gnrGJkVxC?ie3`KKNf{^JRb*+r4<%M2pCS@TCtgFqJM7T=QtAr{XssIa;T
z5iD?P;}<|sgsG69W(F*)9WdPg90RFHyS!HZ4{_1T{-b|77_Prd&>WN_B_P`Zs#Y2E
zW{QBVr@+QV&!e;f4_G1N;oQaZ1@f*OC{2c>R!I|ZJB5ZVBlT7(Gwo^r8BU&b%K0__
z_CKR3KBW+4p1y{kY4%P#oz~Z#e1Z*ExN!c-a=NDNE?uh(<-6X4JMJ`_v(FNIF;{}7
zPfzy-2D!QP0yU+N-z}@L1AcsUefR3~i`z_TWs8h;Li|RPpORtnNbh+er!?(XS5rEz({~!(AzApbuw9J}mU@|L>FE{M!t%z+j7_
zUU1na?y%}`+=Jy}X{CdNFRNKW0j=9_0(sytRL$qr8@pbp?*8ZUYwhYyLFg81JNo$0
zlAy>x8QmUrHi~uyCfKsQ#td3=2)0?Jo*`q>i)C4NKBBqhr=m)T4*(Kd*1t4ZuJGrn
zmz(Ihj2}C=a-3H(Y~x8bzu3HQ{bk&sYa5@E9dj*Ej+NE>s$A~p%U2Ze@GQl2??5j$
zv*%mr(@H<5pGyHHM4PjW6f8)E(mzhWbh&~KWVlFk_Fg&r-`v#&`
z>N2PhXAjOQvW)#2Ay>Zzg;zF~`@#@ukaLNVC$1WFt`r|#tXs)cCpoeU3#$*HfKirEM&Sp&U)(ttry409ag+1!Y1J>l(<78fAu#-Hui@BqW*
zD+P>>QI8w*>a>mll+R)s$AB|n4@HJ}CJ#OkVOy~)~un1(?oEXI8?9qz7+JDKLnk3!X?wl~A{Q@&rT
z#VHUWB*K{yEbCnVcG>5dvEQzuf*qpkK~^{k~7Ts*R^S*n?9xcf9af<6jzlZxi5AOGeRJzbYyTNGa1(IQc-j
z&ZcETfu1KQ$-a@>qJbCTUb1)1RYz(xbZiFJn~qwmEB-rJS)@ZqG2TsgOVR*KpO{!g
zpGzM)9jk&`N@J(x08qot1BDJF3?-YN%%{LA%t6P@pW6QlaVdq$Cr!B*Uo6G|gyIkz
zq_4tb(YYrCn6Fv0+VA({wRWAn_&;pKe%#cVbmC18O}I~DcJ2
zPHe8sg#vkqp^@}18UOjFYImloKfltw{{ms(D$-fHs;-mh;+pvnhI
z3?nnE1&|CH#2lZdPA@9CsnuN%kQ9Qut%N&7@mbC{uojuqa;n853?oO&jg?+#NHEN+
z`YDw2^pKni?>XQ9lJT%Xa6Ao1mNTHyAyksP@`0BYTE)7+3h;mvNFdrH^!Gz&i*<<`
zOEvOwZC@}}1v;3-a*ypJXpQ)r2ON8@ruRsY=FJLw9NZ*~trE#5QRx+>((`4X
zG&S@pkx?oWpwf9ch2ErAoVP%^-huE5464;-Fm;-~oXwN@c;)hukIdu|hjTW53h`XG
zQ0$&=y;OaL)4BRlJDegZ_;^LX)#Ny|G~K2<2X|U)M(V3cm9OVE!?bylZ+QvtrtsR$
z=g<7Y&{pP`Q-^eqC3*g?nt#HXVj#HnW&j))HArjT2?GhV`ucd`*m#AsdZsppB2A^g
zRE@43)y&L76(C;OzBoc)?{ym&2W2VBJ?2;odlu}VU;Bp~vJR^(79=WqC~PbwX{7{r
z(Yk^^n6FrQDdF)j;wo7#Q&K$11L%3?`pR$0By+^c6V|lrxK;;?7jqp_L^=Z@h#qN8&g0lXaTB6criW1A
z=&O8l-s$-K`6G*RKC=f5)6P?H9wuv9jWBciCybjn;sSLlnRFlJG
z8?0hE%H5fup$3*#J)-dDzD5O1SBGNqRKfRdqrEA1b^=xgqJRp~J}Y=*u`Hglg8*il
zK|{Uzqr73TP%+5MtuEm#FWjwJAre{~ma)eaSZP$$tsjv0#ul_jMqp!}iic0w6%ak+
z^6TF|eF?stV+(0YoLmhUy_VB*X{7PqmWDwsE4|`?5wP;HUJ;fMCqwEbT19@^7Y=k>
z&#Z1}B{kAChoA6V^JtL&iP#$^5P_3qWdyl7p>Jxl&MI)ycqgkvrfz@CrsVSc7mniX
z;Uy`ndHLv2VS?t&?F-mNg~J^zov&FkP6UyvLMJ$Cqhn9)mUkBTrcTNhcS@0KH(fqc
z66fehdlzuyahFoyn_+Q__RW`@b^u0KRjvI8To8vC8?ILjRV8mmG(Z=F(k536xdhPF7==#4xv=eWHk{J1O$b_k7T$yyQf
z8tVgu*P>*qdq_V>sXbydjtMD#@iuJE7eV;|#kgfmOMJp+5=VIi2si~YeK?(Q^1;SO
zYy(=y&0*m+NT5N}1l1jx?j&?6d9U-)_rP{RfJyUs`LOpWuiudW8lqMJ5hkPVC_+Rxi7jE5i&$@>JgwC(S
z&V7-=SykeC0M{NJ14niL4)+i)qv{)ALxjfgKBv7xd27CPy;%Ucj9T2Fxyg&;Eq>>jC
zJ;TUc5Gsa&VGn4nGIVHxzP$t1%?+M-A=XB9)OO%SYT}m7L4T)asGD2-pvdM7{@iP7
zSO$*51z|rhyDFC`>xEq$QLh>G%IgtTiJiHgm$0<>6Ar5jtSn{kPZSJ8XC>MIb_%(scaYho4W0*VOm_2N$<#(OWrH^R1ErDKxNI6HSzX{ZP
zwju@nv(yN(d+nQD*Nk{xP&oCj*+GGvFGHta5SjK2ZcO=7c~ZKDkz~durV7LJD3%fP
z)7|sUm5n)%73pBQCIKA`79{h7Rc?e-fSA$~ClY$k74F;i>g0f%tvi}Z_Mn2KQbkh3
zhB?6#5o7E@B4qQIguTd=nnP=)uJOXA!hg-%e2(aubNi}BRqrv$TGt@hk
zA$3K|?tB<(q0V!SS(}aq*wMs4l)9M;&s_F38z_MxjF5@ie1NGdfW0na)SE1y@V^iO
zV`>XLHvNMdY#&xFV|WlI)V`v#WMlv;&d=o$rLCl1l7g%nw;XH>dAAJKW~W++5}vTF
z%ij8a2=;YAeH4jens;32H|e~s>Lr3Iovf|h?B*w5{?t{<&unR1tDz_G$QVA_hoGzw
zp}5u5PDR5F^QnQDf#ntIMFKk&1ybf+=#3l`+E9PlLb=!tr5-R~<}h<64_usQ3cwAt
zGX`#ZGSI#6u2(gEmI=x;7gbJDWBUS*SwWR+YJJfx!;y41@%wFHPh}FIGR00#V(LiT
znV!c!hHe|6B%u~GAg4I~-0i+D5S#uty7
z&tKL-n@=&V7lh`(V7%*bbLe0hW^jfm(awuk2)A_nfwbqJXsTuzk25%ve=f~#b~9(Y
zi89__E2ieyvNb=FufH4k_3iwx#=_#)h)=$$2JC(3RtjdS)4;|mS3a(qTs0AHU3y6T
z_F#Xp=$25pFHsw2EV|=Pei4j7X^owr58z`hc}cq=H#n`i>H|cmF$NNYUb5*j9W`fr
z+&}_a53p+_v%^_L&%pqYF#sWbbY
z*Cp^8KfO6gu7kCr9zqGPH$Vmhvx6oWvq12vsQKgZ!oQovi`3zPljUBLNX(3^Lg?^2
zDQmW1;=fLgeLH}j0HN3nRJY_}bZDA#KhBpc-OlnlOtBjk$*q9Q=t3{<0P^H{&5>hx
zU#=ONWhMe?Ey%VCTE7>I@DXo)Q)il!DEek1j6m@q__sb2@l1
zKI1NCf}C9NP<4r{a~Mp1$T;rxIw-I#`;$VvOu9l5Rk4t?A>k`46sOEGrGm1O^>ea`^jZBUJqVVsxJkP%*{XLuTKC{4J}Ypxyzp2yZzZ*+$B}7x+UAev-CYbBhV1)T9&U3
z#3ZjoGmx@Ts^9aAvh|N3Bjo2T;LA>JyVzUHYS(Hx1S;Q>T93a=$qH)h~hmQ#GvwJc3RG2S|MZv1DjvFx9m5nKMDI+(HAx#4L
zHcze@-n_kY`}JGuIj6kNaUS}(Y6EBpu0}p$xlGL(YQSb6yO~h2$^PJfRYxWzZqPly
zHCPuchi@9^j=#|Tf5j~QPFyWL8q)H9W3!GW5e
zq-@RdO4+jgs8BDWAAKrC&fP7kd2~}fAz)c$XC>k9r4ed
z>7z^c(akVsf1VpT--setI}RAiVt|o>bUpH_nN9^DFWm7arV<}iW0nX
zqtFrx*4Vm+u>t*fT%(>R#8y(B2j!ISb^6sT>fMPrd_;EJm4EvlY{Ex_Fc?+KNs*Q~
zq|obX*H17pL-H{rVZ>uc-g0ha1(TneuFo({|Co?~HrP%qz)BpMQm3Bdk%3|PF(;U~
z#t2Z=c3M-px6PwslS1ZkD>#6!1`uhB*;0u<$1LN9YaFYS{Z80tFVEhnP6;@(g(0Ql
zG^^+1xC_915raq-#DvWrj)UyGeBY3@(l3FpH{|Or)NjUQdtOw<0cR|TIh>NZ0Utp<
zNDwxT-Oi9Y`wh(JzHIXW5+y65i7@j%Wh17(Y8i%J4yfMkUmPeJt=^}VkLx?0lXCwI
zxlq-$Avf*V)|-hxH4OY7;ib-ETfovJHDf2241r{Kizd*3#GkuX3+scf!-Zq@MjZnK
z51Q3?CL`(xQf{rq>N`(mT}iog($)I#4+6ee-8nO(R7YR8FviZe5qd$b$}OuQVc(^2MH+!8>ivG!3-36_*}mlF4F`0SxZO%SG8h7<*AajV#uE8pr`
zv%XmJw>~h=ScxhI(M{{29kLsLF3wDE#g&E501xYnRA0O3!vQ~S-86aq&3lw8ZM0GD
zH4%x%1?BI6dI%8SZ0w<$Q2My#?r`7QNPlT8V!U`qi-VqmSt(6eZ1mSBekSSouDQo4
zhc3)EMjbT9d)zf^NKg!{lrX`XwVtpLKVp8t=n-071{Oj(Xt|o4`6bo0zJ5MH*0?T0
zGVXP(G?iG34q6o%X>4%j#4M!${9`417{ADN4iGCe>z3yzu{`#A@(3oIRi5SOfd%S?
z1Ot(>d-@-@in@_M@Zw{QtB+oo3X8jFob1WSH>cbZiW7Mx3485|6=f;D@ESKF0{Alm
zZ*l2{2MDnMiYMM%uC7ORFoW`b9`b798tD{^T(rs~2lNg3U=hi;%c!b4wcx97@OIQYeKhD`I~Yy=Y8Q0b%Fqih)Q?n0hib^z
zb#^Cti1NmNDwNXt)?N$J-;TdCx2hM~7@~e$^#H#Os?25^SXQX}Syb&IwdSG+if@d>
zcvqhwhPKlE9ewcMW(=NwSax(yz2`euQ8__<<6K+cu-h>3#A^2&R|P}&!=I|p{9Svq
z1*8$kP^{s@Y*)z0hCq%*O{2oz6*rtl5Z&-=bYabkJFy|CEVJgU_P3R-WR2j;@|tD?
z+qYgp4Z*dSYg)|rzV(UI2su7k(`wuE)-Ssu28x?EY+-=_lZB#ad
zwpi4j_uKm}q|wA6$D{T_n8v)5T3Fbn@VCh!&)#j5t1-L6tZm;&ONpFz;-9!=eQB4%
zy@HcA;nycs@aUHJ+ua5|3lR!ej;MGO|7t`GDDKN&(*F>*Ki>PAZe6EUXL170x!S|r
zuB-MN*Z6h%#-ZGq1lvRRbusL#il7gFNbes>U#ja-5(e*#zB%T3o6y6neY|V;
zp^0fQPy-h&Cp}Y-%HOl^I>$C6(8_dySkTo0teo9bc#%33e9fSTlNs5v&TjXv3o707
zY2Ote_f4h8`ZuqRq`kL)*5Lc->a4;QrSYB5ODDc_M)z{#72;p~*h9GebuawLUGBz<
z&+qo%+0txz@W}i_vFbXvWv>iT`mOsdkNF$6L15OQ6|q&*{sE~@A!?yy(dZ+I^xE~a
zW>54p#rMQ~T@P&bXtXl0i8!=rIy3#~!+5oAMWR3IA5-s^RKNU}b)o0)YWb!fmX2KN
z2w^(wTQ@uc%1W$)dVHnV$n$mA9~o@<_qqCxh!LH4Ev+(gc9k@~jP-LJuGhuTzQ%(p;X25;MY_IPyJXCMEvsSg`p
zgU+<3*`#g1@hbXI?jwTnzO)tRSCi|4F*oh+ENv$*sP&$?GZWw1d^ASWexxGQ=vKj`~I
zFXnDvyK^LZ5nke)A}NInx94TtC-n*MDkuoXi@v02YrU+RSx@eYCX}$2U)fn4xckE4
zNo9`V((1pWIG;~@YK(#+O*iF?%dBN?EcHFJ-oOn;TI_86aTtHz@Y2+gPg|QFG(WQ1
zkRcc^yk;65IfIf$Sl-h3)DrTS<00*RFCbIHd@}K!v#IkV#@DAMh1wrA4UFy{iQnu0
z{^16k;x&i8{(Rq=^@~S`Gx{F*{q~Lz{vAZL8)3A^
zUj|s^%2%R)v$=A7`U}Gc|NgxXT-A`r=)?b$7VMOdL&Rba@ecNP%vxINohfC6c<>&b}VRDvqQ3w3}*8TkZ@RH)6
zH61brN$^ty*_JHX^BuC6R%JU0a=&GNT7iFhW{h_8ntMCsUi*v+2=ZHHzX$^V`y;R5
zGbXPc{{^vI{#ju269lkKka~}3oW<7W#w~s+EY}#f?m+1
zRlPd%p}W7OBfoo8DrOJ=j*6dqIU>C*|7iVlZ5C6;aa!#taXuCN3HteNM91ug?>&`5
zu=-K1%AI0$Whu-dU5&q{3!CFtrIc)h3hIpZLQh}y#$rv)Ps;br=gk7t-dy}j9h}X(
z$Rb_2yYS`wzo`%6>CvjP>&fk3!NErDo%!(@+K)T658$=82>Wa9>Ad=g-HBBC{Y6!8
zrXTJV=`f>SbYJ&O&~qAoID@2VJEON2s5@=0vRfCYwzBEclxCWr;qOtyt31OTUA-SN
zMj>Af4x`R6zZz-FD1x8{MOMbOdyJ2F8K3%U+*swELHpj+WpZi8Ku2P7N=Kq_NPvdy
zu4>c(q4;F2+(slIMs``54tDXq7d4(NYU}|4Q(fjr6Z8T@i;qLk%vfwFrE60LbVej=
zibiF@jAhugc6pim*5#5g>%DmIo0ck8OYKzELNNxTqcUGf2Y64OsWhr^ELWIC24p0cEfiZMYgSGSC
zBIoNNpe#BP5FoWcK=7jCC*>_a9w4Ux&~xR@k)zI?R{>c8fB>Yv{-^khuOu%dD>Ny6
z5-Tb;g05AQc6&+Kx5#w?NJES;siAa&B&SujY;-niVHzn)aWGji&>P~m%?m6EDffU-
z8YGkl8W?NbYS6f~6Q_djR?-mQFf^y6*~;DrpgjyFd1dKXhC2fd#KvtJ18Hh8+_%vI
zs~S+%Y_%3ig$L4D2c(*2$(?bV+HF++G;aOKaMz@f?#x!x0l<)?$Ob7)qA8sWq{R1U
zfOEgvt#mEd-&Mxh8ms0_R#R;ReMbZB-CFtGTK~}gYJi8r!^-|pkPb<)nFd0TsM_61
z-ZjWy*uW6-R`YI8YnzY_Pf*8y&LF_)?SswMOo~Fh`)4{bf)C=&h8drCyb}V#&|r!T
z7{FJGz-}?Bkt(-^03`nnMh{PF%~^p4BJcqXKJW{Wl9hB@u~BDj!_Pge)CB;20jMJf
zEFTI|9Eb)9K)P74Dh>RhC&u+H6hndq3t%x=7=aJ&3xg&KU<9%4h6)g?yu*3aHiQI=
z5lEScx4R3ZbnD`Fy@kevz(TRK7q!rg2Uvd~VcYo~o5ErG`)DZwn5SKx&G$rCRVgYh
zDY~vUwk{zgJb9a4;?8T;nW{-f;VFmq)%uHfINBvU(xgIZssBB+bKEDbBi>%UFYS0;
zl|L;lJDj$+F3E?VuK6}4VPCTQ+)laksR7~fE#YaS-*=X&riRreJ^EgezfYPOp7AO?
z)A4&MYhU`t;`hvFsfi$Q+F4bp*16rUSJEMBNt;MX=jXD4L~#UGf<9))N8s7p4!
zzDHRt^+8<{$Uf)h3iRaMt~jhz__f{SVEA7#NBY0Si-Ja-U2dmX~
zCOpdPu|LqLwtxTkLly9>PW!aKwTF*#^KKr?dKiA>Na|i`wIhr6`CIK%{2t}Jw=Xc;
zwuiOkmQ~tznB?qeVhVJwpRz{;J@xPFL6->CYNz6#c|3UVJrVbX!X#$Fw5@cWVXf;0M
zf=k-jdrcm@Gd@IkU2VO0!Xf8^@7H^=PTQT6-)VVww@sfldeJ;+|GreA((|nMDeoTq
zZT&|d7RT+}QXgKCAp0&koTnlc9|QX8D0fhy7SIsGT=Zpc`@^$$)%)}`h9d^ZWQ&*}BV@j{=Au}5;G&jhAB
zTs`e~GqKGh>U9r@XTJC23xPpqbir=a9rqi+Ntwz11B1c5^~DF*7jAre4;y;?U?|k`
z`)9##nT;r;`=?yU0FSX_hvtI7?lZtk2srxvE6N}k04jB#HYDF+o&>Tlj&O#frvpadMXMB@ptt
zOk@iir!(4kT%(r6u21k@XUBTz$Ox2`je}r-pZpS=nzyp!FQW
zF#C;y?*y>`?XiwwSLVyIw;oe7A@3~q2q#085>`N5)h#Q6H|-E4(MaX)^A+`q_?5=H
zT6HGb7bu}L5WQj`*?I9oL}DdO8OSr`skFn}^J;VrmvQc#wQVeQQisIrmi#9$Bk
zWVA?1&De;1X$&z}GCF>n>gGEE)DR)VK&oyadaFye2w@!+2fMF4<9OFXv|iOScO082
zrA5{X8d45UEz*C8^r*DL5_X#h%FFnj8j@Uz;}%b3z9YIubRiowFN!xw`>e|5H51Os
zysfD|hIOT2l0G2c=t0iHnD&tNU~$9ey=PD4u^OPrAuRwKgfKRod8?-uA8J*I*b+nL
zpq!89V{37Ly?N^SQy5dVz4I>%;X3n#Lm#iH)r*kQA^D>I%135CIQxta02yU?2dlOw
zyGH#F_~7vhwY7d=%qU4x{R2UavTuBsO1G+h1O8UdL(a?A{QIR#3vm9r8Xa&>EBGpn
zOMyx|2o##AHvwJzQN#fqNx6t?z-7op^qzp|brYC?7fW*%0e5r21raLPN5LprNu;}a
zDT^9%D6TdJKdAAf!;zw~sGyL@b{I%6L|UhEg(m+TG2VOs0>}jN@9Yp@Y9F(p^
zpEI&bQ3jt^2ZEOo3o=Uw!g?uc@9OkT|4FF;T#y#DNmz(C57`2cWI_=IgU37VE&wDg
zJAkg42fzcE+!+bOOb5XLxKxr%bJjWM$yRiJDnn=0M%qxciVI~5QB5rn?Ph^=V(wDL
zY8KKuizpk1PEflH06_5!ese>}tzWiC;<8
zs6HG4i=#kg!7@@n-#&?O2C8^Nz8-y9F!m#oQ8#E)OuQe)G0SDh`b-T#GFJ8VXan#U
z8O?5)G->9-SJlg4z%+hfgXfUdSe64es;C1dv)+le230+gFeE@a&?adUG3b5A)P#>A
zJIp$rL9$tv%qsjn*=LWr9}-=}eIMbwRX$PfB0-g)Ow3t~29et+-R!j_1)jze;HVJ_
zPk0;}r~K@~)WzMCJDc%-qrXenSeq6EsA)u$O*m2^q+g(PhUaFX-UQ9eq*s{F58_ja
za0Z5{4EZwnLpE62kNZ*@#XkK53cg}sXloRw4+gIhY%a+9DIvrRbsNT9uLV0FY-|eD
zOT^*F2WU0cBCl7&V|hITQ2_7F_B1Pd!xg>^V?>1i2Slj+0c32i4pDyfjGK@UxHI)q
z#@%f^zm3DXMFqCY%9q8F5?7aW?K3mKI((1QJ3w+;39KZB!SL0v4bGjLUS%9j|S@rf-kUmSSN>ARxLA<*CIG@bE+M
zt2-`j0?Gp|n7CrxfQlzpdPXiHx2$9}tZ25^*!DjSYxz3n$ZS3VviaR^d4LCF>%|xR
z(AkTvr@LEf6`J4kSl9nrhO-)PWslnG59=TXq-04hruFY*v&}}3bQ?X9Mjf{Oox7#g
zG!uDeULW@VsCw_9Cfcxld($hhK!8vUJ@n86q9&mjdMHZQP^1YO6a+yu2?>OzL69b3
zzyc_0C<=-t6a~csh>D6D6cyVeb}Y}sm-qe6*Z#{)W_Bh!dvA8H`#g_h1LtZ*r|&Iy
z6N~{%uEb?aS3goQWRu&=5e&q!P2}Kni-?9d-xijirL7!SZ{2dCgC^uBv~D84L|U=x
zqSUtzt8gMIz;z4ID+;P9P2CxC{ew7(zOYH%35tO#jG#u#$oy3AJR*u7y
z4IgL-c0WXL;_#I8G2BKzIGB4kGc>?rkqbd9S{+x)
zERI|0z50ouX}xF=+s-AB2Ep+MqWBVq9D*}l=0E5+*c|J6@1~pn_@g>y0H0on=1NCz
zDK4Uu$-~Nf2L?63Lz}L=5d=laU#oO+?Nu`w~ZVD#l^BnxxgQV2?(KUwr@YDOX;57s2%ElZAF5UHRPE8w+DUgkLv4
zz_O{Hgi)INlwHyjrOpd0b{ka_c*KAwQA?a}TNx9u^{sOuvs*gU_y6E8A2wvbXfp*R
zL)&+4*E+}Xe_x`W8@hXH1Ngnpq9G;Vnk!iG&^fpS@!H5{+?DG-A27`Ti`r3vGJk(|
zK=6)D@Tm|C#093Bq?tAlq@d#3D?J*eQdB$YNG|I&`^W=dU3g
zXy9sB@Ir*p6_N=JiSn9+>X?@7=-8CMB-{w1whw?KORmj4LiK!DPwmF(qyciv!zY5&@ix^#spI)(*}r|Z-it^8E|E`;K~3(Mno$O
z;rsI{!r}v755oHzCMHfui;(|sRwo#hf?5ke=
z7Ho(@cXN{3OV#@c+zQ_YXDy#s4?&%ujb>T(<-WLf686X>w!#;le*uh>HC${^-Hrl8
zzZ&+sfgvSe*G4d+V;4}@r1=^4!jUgvubZdgi&#wsE8~F@1P~_AX^^1qCRWc{sCFGp
z1z5NiIlL|kDWl=*NvT5=_@_hg=c$1_0@`Z{mLl&}w300(tb!Fq
zTmVl?(A4|RKHQB*q&{qk1e`*|k&s~{-cku#KtpHK&~+^287|HX*y}0xSBS(f%aMCb
z6uBD23rrix3u^}tE1(NlbKH86*}sgKb^*^!LM;Jc*JR-q63CIYtStlYn}hdX!m}w@
zfgIB(%R|`jd}A8Ci-O#21ezOzDS5|LLJHa9!Z-zTl2+2pL}ha^GBHZU9@%mnbMpR<
zv^OV|A?=T}5M7J#vd5J{D@(g|645HTa2GQ$vIzJ47^WE+Snb!L`xB9skMxn1?HDL6
zyI2a*R8^oeM_kHM_Re(#wluMCtbbHjwRdVsqzz!Dq~2V)+e1XYn9a-jEJxlalI
z&;WP_%vmETyo&8=wgeL-&^Eu53GIlWvCXjfLvF+zR}K=5J*^s27(qfLJS^3vDJp)b
z6fuI$+0-G!%goN0sZgre?dj^M|2_P?Yo`UmG`(aq~JoQHBQrCv#tfez5_P!Y!>vvpG
z6Y+~auK3nI=3<~CLT+2n4Q>3Ktf_|y*06hA>LVl7KRmE|h3&cFn{gh<=%=Bd6ZgZ4)mzd75{|)%
zR`jynjn`yK{a|i46@5aYP9h@`olpeN8h93NyrJqmSl=KH&Sql*!NI}gq6ltb%#z}?
zo~KV9MP0x&auw#LP6acrh~=9z6WidedQ-smh>n_cIjx|D#aregLJ*@{D}fa>ki+gg
zK`thPaNX8N30EW+T?l?t!be
z_tsS;CgU$B#_eXu1#)186;|l@3vqA5V6BKdjor}rtn?Lg&}eWR3ON%eRh;#JD@lj<
z9R_nq$VNSs%B>sGQe+5w_zM|4LqlKXV#_irCwQ2!GRzzslPnF`cldCm6DXSAlR@!$
z?G>wZ3b~zx+NlU3mpVKiJBsl=lhYU2^cEAwLKch7j}(-NtU+Ehnki4Ra|BPGLvE*m
zM_8yWcrmo8ZY@_JH;AwQ8=zU{*KSjZaImF9u
z8p|t5XRm9Bl4ghtQ{>UN5={;Z;Iu{D11DrkRH{5BAaw3BBIMeX7LqMSrU0cy6r{M$
zDb2KFo3HHw4^Zy@a3Vxsd=K=>R6UdJ=@_H7Rqp!G1k}I-$x3^33(mK8B13_~es
z1sgP0ykqwboo+qYPHdm(+IBdw7Zjm~uE4XJYBHO~ZlLg=@5j^?LV1sOdOXG$UVBuB
zOcP(0aIh99GZ2sr`|M4DzN%}Q4;P?kV&e+l+&^&J%E*PT6@H(>y)z=
zQ_|l|o9{bj*ZxU5>$jh_!bW7WrZd>KPyYoIPw6RG!9^VG-9Sto0LVzVswd+XS%}de
zkCnFeztfH1p^eg{0S2^?tjQ;@;~vIOB7@|ZJ5Loy$7FLb3_Os)MHE)5r?Cn>FF&>W
z(QkYbiV)NA(z68n^Xw(rHV&qSi!PI(>l8QSO*t&iGpp`EG{mGTBS^;}UcYl!$|N!x
zsKO?x%1RvSX^Fm~JUc||NTT^6bC!ns-Zj=Z}NS9~d
zYXWQIg3J7n*-}Ij4O#XW-r1%8OMsbN-Y{Xhlfg=qbu!Lkz!Wy_}5lc15)%P;@eqrJ}bn81O)iRAkFaH)I
zbNco_W1t%3uYPabmXrAbmgRen^r5|_{$^`4LiMW4lyD**;oR{d_d5bz_D_NghF&Ty
zl4G(Z_Dpei&cC3Aanqwau926UY$>n=$(&~^A^<>!(*9}r(SP6GZN(PF;s7y{jxSK)
z#8X7|%g3VwdbwYANhP2Dw4m@Tz>6z9wD(-N?U+F>5_b+_v;;&;A%Rjvn4-(HfZf#=BIv6qXn1S)|a|C
zsCXF%Q7zG;E}QsJ7?Qaz028erFV#!u(2qN!J-X18f(y!!Gpib{iX^BOIffdD3ps@G
zkbHwryo7#+#)ZlD(Bw&1^y0)wJ_Y5B$Jfd5=P9V2l!rpmck&8k4n{>CvjzV?!R)Af
zhNVA@m%QaJ;f?_KX%Z@!_QDf#;~$;I*Uyr(bHPjwJWNgnLMF7$0N^nJ9;QI{0rA5C
z6-K*#!o95w((62Sv%yhC`+t#r>-9~KGjDv^vfx*16L&?R9rik)(Rs^BD0q6N-X(pM
z)H)(n1FYhW_QPQ(jP-z?viXCi?MJ5smYEj`FcN4+1NveiV$+EYJzH)okbS#eD>Y3`
zs=mic{Htm0gvT$8ufJsM*VEYhIYt^iOoot(b7W
z4UZ$NQoNh1<=E07s0Dm;YC;TC$?P@TyYg75==px+@?hFM`N{@z*|oYAJ~&n9T0_%H$Ed?r?OQ_Cf<6%z|AdynG`
zk5cRv6PA(MgmKbHrJMyv5ExB)5XGEpoZ;G?m(&-r`CcfjtYq5-q3Qb{P+2|Fz8j`u
z4v~%2r=^a7z#69dT{ElEWx?vG6R8lu`$K4|3TF))%5|F2cps7b{9Nf#in7j7#kahP
zUB~QN@&c-bA4ms-g)ObGG|iQcVy=jmr9y5042+3-@Rx}`jLkcR4w5X94rBf15pD}r
zcK{e1L!?S79NtZODceRcUf@jt?oqrR?#1;({KgApb)d&6^Mr?nf`q+omv5#PZvDF<
zktZ~kwxl$_t#+J{*rC}Bh;?|?XU5zWLpstu(cqE13qbcb^=})
zHL-<5=Xr_!w=L`+#a3Srg2VM;m&2*U
zf%{E1j9gsmNKRek$F>FCu*2kiYH7E1{8Gd&
zqx2PJKrYaEA+LVVq=OB4kax3Voj;z^)aeI(d?+p@Fr6(Zsm1t3uY*W^%~8$W<0Gc2
zA?0B+42SjUw|r#)%655zh%+1|yo;b)UL+fB!NOF#WGC!XTgyG1hCuK%yUNeB62K!N5UeJ
zD3-x(=Uzphe;2Re>`OutBtSImxGr7Y$*X6fpIG^Ad5`a+~HL(VK+i!R)=}@tc?G2|;P~s|cfOf2`aH)Nr{F_@*Ns
zk~SG?GjP%pJA(aMC3I|PF-hOf!}ko}DOPJiJ*
zLaY|!*{Ty%xAFVMG<}`=?v94->gAZCxJ4N{%2=
zWv|i0Fen@UFumxhOVwR5+{ds1FySP-hcPCHlmtug6~k{d(}lcnS8(c`_8G8h<=7
z^`Yf&G~rjXffJ{&3}mqYf{|FEGl^}O5aKXCWZWdJaEEJ+?E<C=M
z)-pq>ZH^VO3XKGe-xFG2(!vdI1KfJT%CL~q!7EYzC0Ya|YE_K=&ZN&rV$(0Zs!Pp@
zyQ!B<*@ROwe$dvf^Ljfy)_I}gM61%?j-t8aApmTcw@A8Z90E7|A&Ga6$u(Rv_1w(q^Jo%8hTkh<==wN`0s<5mYhdEy
z!f)`a-cS6FxKn=OQ}vEs^i$m)*=Oj}wBVX(mAdSaV?rfh{&brnqvJ%`?w(YIPG
zE=!~yEG9Q46RyZc2`5X%6ImwPt8u@&8ewu+r8TELL9izjEk9QLo_
zbir&9DQe=mla@)#Z$&b;Xo#RdcBp%_M`a&TRE0m+7j$eK*4;C8`aP92gniqyUvqis
z{h>%0a76+u{s~qj{AFk|d`u5@!CHo(T$i4gJa`4zGR>Vwc}xzIG%q7&W*T3|Q*Ln*
zVYL*KS9a@fd>LI8;A}N+*uEoX+_b1)OjqXT-Aa|4X5SIt`AEY`MqmcZ*)U`W+gLek
zd_uvuR>t%Oz8}8Tsi*NV`VGd~C*pVONb`by_7=RXy8Ld5RK)j6Tn&t;g#q$1J7?)d
zh0YG*a;U^$p%t-P0WBN_%tbUeLw24gp+Zum6fiG46*L}Jb@HH!rU{r&Ia+JllB=^*
zfZ3!sq6@5Y5|UP0t@?>gV%>;k+^cU7*PtVC;#EJYAI5w6Yhc)3SYXv67p*HF0%fG)
z3nO(?gG-MzfTBm|r#D^sa74w^n-El4=
zg`nDE5@LZaGS4gW0=PHkm8QQ44PXMZfr=8xt0-KB!){D4yAMY{(G)34T@r@E00RtSM$K7WvE-8z;a&T#)T1Pl@V4-=Y|Kd0_k4}wV2e96HQXGMjJzcXpV=9
zwJ2^0&g_6G{a&Y_LM<`XmQU_K%7%Gh54gySbV>Z+Nw^~$+JF(n>yPjRv*gLT%(c92?sAdsOF?vNMGX<%}9E
zLKxhu2mF;{)0)}W2SnR}`Yid-B82?2C3g7G0#kG&RHacNxPseKD3>ij?v|st6HOP-H9ttoMf+pd@3`?;-LN#0_}56lG!`Uz!sR6NhB9;8UzFlJ
z*q8asLW-XlO$NaF5JT10Ug>oTwWwSF&0FXh3E
zmbjYBehgoiJ%=?^W-sN;9~@XJiW&93ny0;Tq#mM@$33kL(I=yCnUI26f@f_Nd;rn%
zm#50%=NcE;)I%>oi>%2Pt671#j3OsutB9!;G<0_D1=l@}bxO3(E})O!Q6#ZOo8B`p
zR)=ZiwTO+6DMdE%Cy)2Xije7u*hQZ1Bush4ZcQrhPL-KG6%+jT&O&HW#X&3C41Z%I
z-(vY@l5yaFMn$)$%2msSo9k=&zyYfCN|;XPFPy`clfpNIQqn!a=2S3B0$VcxXVVyj
zX$Z=jgszTRP4bx)S-Fcp_WY}?l=U&?P
z9E*wKP76i;A(QYZDI#VPzG5bVSy4}sD(w#BU741Q9C_3@=6>t#ML6juEHG6p6v1Am
zA@dJH!Bk${fKZ7IJxYZc&?@Ome!(Oo;=dvZRW&spD}^*ux|FESeecPYM;dsi(|By-
z8qL&${N;PMrv(4}mMEd&(TY_^t9wU-c7~y&xd>xC=1xU>&^3PO1=DWwy5P7#_1i~W
zocXu5Lc%p5R0`gON(W{I&+r;)Y^VxJkSd{IjZF-uTWO?#2J|{WQH5ZZe)JDaETk;W
zhQ1ru(;z|e7Ys|~tI~X%0`h2y4rU3d5dGOTKq_-1N6l}`L(+G&&zd4vAYvG}&#!-w
zGz8!FapOv28ImF6y3C@@073C6oSx1U4?)0q1%}qZUXuoYZl`Mm&bVTAy
zi|I6oI8~@%bcTsLeG1foftl*c$r78c1L9(TU})QM>2Da9$wC`{5zx|v(Tk7Pkc0_&
zca#FWT3o9|9GHsn%WTAtN*0knW2us
zti{y)+InwIbxh(p0?^?Nh>O{i+Ssqx+YuNRnIe=4=bxOHt%)*W!q$mzWje=fpA(u`
zJ6c$%Ua&^{PpSe$zHg@u=~!%?lVIbuhybSdW(guzj^v3et{XD0+o%a6>qO(aE4T8_
z-ro?|;Oh|M5$p4E!x&w|Rn_dxj^ZJRTh0y5YK=`+(N|ARj^9eXZ@B@TOl)!mVVt(J&;jCQLd1DjQ421oIqol$@jp0$R
z0xpP8DJXXVYG*cY=!__Teu~D|wnZx@0^ik(OzD>Kk7Z#T;cLs`fY$SoM%DSRc^6PR_hT}SUW_pHSMzNvg9XojKe|?RcxZn
zx_g%wp~LGVT_a~77TWY0O+Vt-L*43&f)#Ur?rZ*1-4Z`JS#BKr=WL=`xj<^Xc1f_!
ziQ!H{)L9j;dCIks9Z=^XZp~Co4_OAOmlkpTuK!8S|1%f6L9`Mqnh-9*&c|yD*}}fR
z^!y;)eol43KeqyAS!tTWV5*z>fFPQ~O%W+;I|WPlUVYISb_n%w%WS>Z_xGVt;b2dK&50Et_+b
z9jcj_Kq`G3IM%l}DS$F+_KG5;DX|c-rPM<)B4p>gOZCa`>S4{lPpG{|z
zU=dv5=-xXUm;H)4J%4>)!>90$oVQIu(al+kdvMS|i>|HPamq69p}W|gLc3Pqc>3wq
z`bCU_FQCtcvc8KNntajN0nLMIafs+*N`M@FXT_4YrKf&%uws_KN49DF5uXM(|6fOW
z&V)&Hx=3~MaR`;KpExjsq*XRUEQZ4Oc3AFlJMu1{H9+x4n$p$eoBtXG
zj08|?__rEai((Nh>BfT)QE>sw0h}U^b3*2*j>CdKMjgBKIF7PT4q!<;^(ObuM*VfrrkY|Ae
z>PRXYZepl?sr7Rmph6`yKj?$3I4mKy$pkU8h}g))T>b77+-nvkFK!>sx}8^~E$2Ds
z6**Glnh*2O<)Z_LSuydEXeF4z7rp$W{mfM8J0^NJW@p_%+y45*(j|-$xGjb{9H$Tq
zU3S`Ki+&M;hR49%#+#1<2fhd43Z{=dklMvOsvNy>DBtheozaQ9!CdYhoBSArsr#TDr1Iz;Z
zcrXs2DxzKhJ}Qk1uDhx2mqILvSL4lbYY$eBHBA1qD`V$Qgzr{Fa4HW)=Iw^`Eo&I=
zy;|1yQVsCFq{QK`jNm5_Yq(GX_
zi+X=ta5bZwn(FE@UKWE!RQ-1(ZWcj*+=%d5zJ2d~FPFKAA!y5m%|s0rg`Rcf7+BiwHGMn&aIjQCITkiu6WYkH@a12v)Qd7A
z%G=rtHtm4@uog}KE1-&o`5?|r4uiu&^%91L`}3>FYOx}|b3M!J?EwjbyS{zW>W{!?
z8D4v2G1yLoeR@fHw_@&O!QiKYZgruDtY`>>jN-zB0JzRczGdX8nd4QD*6k4vyx1fQ
zfKPO+Sj|2sZ2CJbGB=q_SiSt}yp?Dq5HzWW5!i{1fX)(4X?$N=!@rxhhN=dL
zD6nlW1dw);h6Py2v9uAm8oIDdLSP;WwjNp9=f`$3exWMegfV6OE?BhAX$GyEgKxMlHVEeY5Q
zjNa_@x%J37ZLKX_CQ{_67I~{7CO&^K#{uPODu@j?THmWTWuxd!?OLt
z_(9dzaf0J)2|o=yZ}HnKfM^l$*5f-u=9DhX{VIko-Kam$UaRWZ6!lrH*<<${HOmv7
zQs0n3^LKk2UsST-;kP7$%1mF{R=0l0Xy~p6ZQj8Sq0C9*9qPdN=KA|f_Y*5hLt<6Z`LTJP+
z07T^jl83GS4@;>=r4L(S@-2v*AILx(VbyhAk5u|N`P{LM;yovJLwOpy_%FHz#TBpA
zh0bw1LbzZ4{T!PRN;)PaZUzA4p`hrHNv+LIs@H058X>q6oFt6&H7H|7AWZg5k9*5rPnU@wbbeV`o{v;_@9G>u
z28z28uVW@#znFC`O?j)A`^@;$12b5TL7WcWsC>Phmk%T4Scslx)RklL^wZf3rRE<#
zihZ>FscStxClzO1Q*qbh{m&llXHQ0a;OMSkyUgMn+ktN{u)vl`2lP`+$YLm`yuU|c
zF359W;!M$-JpO);85=92T;YYMtn3-*gW;H{fSY#9N7W-|UJx!1AOQSK7hl@JbaX?Q
z*5*h9GJst`>ab3viT$rEY0>_v5#qR3lh^$PI;N^PgY%+vRW5$7etk_vx{Hh)x8gFcS0zXsQ`arLa!&dS#>GkeQbw8ry`TP23kEkE-bbCnK3-
zV~8ZHEnUBOq@&7-R*(mQ@%4wgLf7qK*l*0?ASEBj2rNSbQp2~1D*mzV`h
z=jp2(9t^AVCSht1C}(w{j+Q}Nhmr##58oz2axZ(NGz^qfyV@?0EIjz_%acsO-xtZw
zA?7Rj^otvY`NUa*SMCdGUBlwMS{?h^e;3g=EFkx^%0$NQ#(w&57Q739JRh&wQt=uV
zR8^9f*n6IVP??7xx=SC{j&xPe1OVRpjB9Ze9?pMuSaXP6ye5T@Qc8PamQC!eF|nL^
z`%TtH3~b|Bzb##pN~m_ilpjIImw1Sv8ZM8@)RA5#!34AdCRk){J74UPao_CNVVGVG
zqsFj%1*$Sf8^7nV0Rg~sI(GewQL&z{*fd~eCmSExsJZMfw+;~}*%E*obDlps%F6Pg+|7zA6QhIXBS^|p3Y2FuUUyz5Liy;f)1X>Y7#J>s
zU`pMKG&=fXA0Es#46P7YWC_I2MNq@qW6xsl9va1+i?6f0$JBE#1#O#Ku{#SxKTa>1
z1}r3L#jv9pGLi>CYsDD{5`hznT|fJH%m%UVZpW@Fw^>)i-JRa~sz&9AgYk7M7cWE1
zGzH+H->**rsoUx3gwp~hWUKPVf7%<*%Nj>HAde`tbecZB6{3jR85XHuryxAPZyX6a
zgRtpgG%WX-8_H6ZD9HAb;fSYyE7(V36}e}9ew=%P>+b`{U8JmS>FxO
zr=~=@irQW1Hr
zDlUL%BF*6mo79S51sx7ExVY_PfoMtv#zl2(Tw!(mxB;matvp~mQWsCLsFSw>?
zE3ff87_XEU<(i8CW_?Gg#(&nIcRn!ExwCZ5u_?aP$hu#7&w!w2^%+rgB;!Q!yp!Lh@?G}K1^&V3b1^l~7?>}QNiD+oqvc;EoUY-Z{*x~ZgeReE2vQ+Of3tm3
zI3nT_ePj|kOdj11A0bULoN8`w_z*R6n{g9wEZ>vQ
zh)ld)fj2im?tqm(A`DSkUJgcqAhJ^IVG?$RuC+Bsu*;!~raI`mx
z2ECX*2-&`59=$dq>4ee?;Xy8>zOogb8A7i94v;kUb=opC#(VraV)4bOUhE%=u
z5_Y`O8utpwGiA(ipH2$Qq!2wOL@nDZ#s^j?39rhg>qsFQi$i1*NU`?APciUHl63qk
zNW*pV;!rI_MzY2;n4Sjmd;HX+iIa`$Aphv0=N9B)J=)!o@5wLs+{mk_%3T6fC{@1p6yfl0X~%#=>CEJisFoht}nDv2&rN7E1qBS(;uR-GQ)pqOs*yd|EhF
zQA>u9oFG^V1nX5d!+V}~jZdDt#T}g_DxjCM!{$U$Vl&cyX0+f}u;$;Dm*6682f*ua
z*lM>04EDMgdcMS>67oJt-CywstT5~Ks6UmOG4e(>0?*86c-!_c48{-NV_5`^F9>;l
zjX!h&1*7iWdqT5e&?MbVKwOy@z(_SFH1XEv
zzjtsSYqEd`(GL=7Jh$Ovz9PE%BK^t5A=@cPw8KMEA5V2|C5|Qh@brbv{r_lfPD96T
z4W+$n4kR&7YYMb$6JPHTnsFey@@65|x+8X#zQ>7DM^GR#ft^^
z$uj`{stBsKQ9?+9oafRT{{z&#&0
z@eid+&ne1pq{^QtDnF$vD-;mb4XW6yYIUowTCrC%?^d(3S9k4JUuREP-%SX%*NEuW
z*le$v(yh7OUMsg-QSm31bQ2HQYu9yaAFpsyw1U7eUC}7gK0#M>1GGBlpeF~
z4(7Q%=KCDTB|YQ=4itOS+$L6_%?VBFkPY!lJ
zd+b&mD5zeFile<&ul*`V2lHMBJ4Z*?UdMHgPV0M}f*qYBdYv~rx}@~FYvcQg=-%Gze%5hyfA8w6jviwxy&iWR*F5Z9^W1Umo8Gmb9M}EqUAN*$
zL-o;AoakD8^i@s_^FD^1lc#@;5+GA{>ht=O73nnWtTJNM!Env?6hmmnk$v95y>8+n
zYS)NyZ13s-s2k1GMO?H#;_K>5Fq1t+9^){o34hNKcaZfV)t4U4vYCvXW
z4Ry}thiG|;KSP2NcNzg~mvzt$p2H?h+0Q$tp2APCIzMX@Bj8rlc>7rfR-f%N}Y48pg`3ucmA+Dj|ld4AhZh?1O}gxeW!E{I!2%di5V@O;UL%n}LS2cZtPrg6^FTA$<`NBx9Pez)7|+_61}ehdJP$uxG+k-B4Q^63(Hph?#C@FFhN`Aly<@u?-oe3vRUQ*}
zY1dJM*IfUOmK5AMRdBgz@aE1-qt$yHuKt;LKR7bDXMFSDJE+Up?1HgR?vq-3?)F}k
z-IdMQeH~m`J)Kzaz{>ITs>^qt?~$Ipbl1Od$p4Qtcg>XX&RM(5clrw*b{5V}{GIUp
zcXHjH`)3O#T)#fCD!|SZ4ix3fk6ga}^{-Ux%4qfFCwD!%j}+c)zualH_IaWrtg`l0
z!K+J8OFUj3z4XldihOYO$+K&aazKG2dG7cX0}Nu1$%!bPmd^N&@%26d=BM7JvQyKnF2Rqtdu~u+JEaWt;TlG#yXqc|O-H9~hF=wZj-{Zcnqmeo!
z0F7RRQZ)-75XXC#s2KXxP^%KW%eCy2XUJ2EC5loegiA;!5C9RdE&Rg4E&m7EmnI$x
z_&>-#MW_?up+NRoI+Fh1=05;f0RGVJ|DWdnP|^Rt`LEhqSw?hBpBwK!I(C5MS@wT7
z{~1j~p~olcD2X?l{!jBiq^GH>xBc!BS`k+Nf1CfzYRkCC>d&3s0{*x8fAan*Pu@@BJt|Cy(Qs=bTXCi>4lzsiN-3<3tE^CODp
z|E605-7m+)#*WrT7kXYz)H`l{cI!g#oBwJ4|2LS}_x4_gl^K*YR&roQn%KU{mD5ZC
z&Te`C?4!2jr{^;JYLK~GQaLwNZM7a>Do_EbaWFEYx#!!fo&JfdtW#!X`W{(hD>W_0
zmN^sZ!%s9{QaXxVS1L~o#;jdb$D*!8JxE}@
zY0inu|M!*KgQI)YwglU1iV{`Uec_0OYpau%kjVuv&`A+97dAE>gLVJD?>#-W5}C%*
zl%~-whL?^`V0xE#24W5*o$n}vH|O6k2AtBn>Po02Y)GK%wD
z_^7UWFXOBFy2mku-L@fBlPYT$FNJ7Wetqw?OXLJ#*
z;)~vj+rlkU?ZdWyBZtaEGP4jzC7^?&h(mM%a>k8K4^LM;QjTx_P?ndwLTDQ^)!^;&
z>p=JY;O#nf?fW)g*kr#?O;kYZ{``Uk7xNC*h`&zh+52C@?Nm&%7xldNd=BOw4tHY;
z2cKRjKlVKP+l=4YXNR6-!e~lw=x_!2=B#mYOAf2uX^`%EcrWYA`;fl_UfmA~ZLtF|
zN~K|VjSpM}`Vqo47{a-DWc~Nxo6RHC?YRz-<5-vZH>X4Hqo8rZrH%8&ut`8G8l_4i
z?UD&-`KoI#RRpgmcgALMlY041ce0dfZvJhdIRSsUdw+)Bd_f2u*g0p8&elbf^C4v^
zc(^8_Zvqnk#Y0o$Y|K6T1I0T=FKNBH6;9C|S2Vj2#&a^5?ks>_$zGy0)!cL^HXxnv
z&?|W?-WDJ)0edatN{v_0Zk=}#4VpO~f>isQRZ*l8X1H~tcD%c*VkaP)1llagVp5#S
zJ|Yv)ceF=SEPCi*sLQp1E{a9s1lv=(tfoE83V!3MQqsZ}IIfK^$j}=nTmd~z$*m%6
zS?lP@Wig30loC5j|KYP+{KAXA6bjApp
z0gf?HLlaV6dTKN;<9z0OLrTQ*qv^jAw7MNaoJWUXIwXb$@e$K_xrY?EID`Wx1?GD5
z7^mZmtQV2%Zl~59(Oymqy6Uic_a^V-&q5VxTMAO8gNup2X9OH$f&Y2WC-`wruGh9`
z+sY_zU;W$C>e|h^p7foTZ%XTx_fm@8DtIV*2VVAfh;$fM=
zDvU_0d`&M^{|`}j+69J70A{DOh&C#D#9PUL0&M`z*v10PHs~Q;axzK2z5p8vs;V|N
zG=6umM00x-9dp?jx(cfbGvdsjfZ2N*?&ZK$wTJpEqQx<74^?02xC&{n#?w4Q&vh?p
z0ug{LVT@8ty+tP_Q_&zmTUX{HxU}E?Q|h0$&%233*mYDG$=bdwW=?^{WTG{rSHnNJ
zC$(j&4kKOpAppphaqUk8Nf7pMGDubU)vt?;)DMay6#V6*nHK*PJ5I-g
zsO#7PI8My_`z$~*pvl}-3?zy-^OotP^{ETP{5_F8ytZvLjIYe*pfxLwjjjEGGaKAt
zU>Z(G?T{eK(yEd)VeA!k`{I#mh3*f#v4NBrch>?2nS8wijrQ;z`l}i$o>#QPr{(iKxq1`raef~sRwqWHV<<)V!r2WDuj@PltaH81t
z_P*`5yf>^xe%%8}A3xg}#ty>)*KeuN?=JKcN~bUccg{
zs)VCgH$&gsdu*ZV<$wD*F~yr($Xq^({phZw^V;IAU!5P8v$S>07mrX)<#;>up>d+3&7SW8XH^B*^+@N
z=fc9;k=N<6*#Mv?hJJwV*iw&f-yIT}!*q10c&qOlN9y&U(XV*~
z-Jr%S^Lhf-{@YewqZN>?Bxp>ENK8Ov#6(x*0pfjbAt&Lhg#bDmyo$Wkj=D@o0V`m#
z%w7TlXkE!y4}-m0qGeJo?6A^n)jH@W=c5vS2y9G@0N+S7BrmFVGCh$J_92m3XfP
zlQ5vToJv^m29RC;4dP+~BQw)NgL!c4V(KxNOKLQvwy2Q^BQtiOKu4keWVp&vIz3&z
zvSj#C-kZZ2mdCI-RppZJ?kYii`81fuIy9UpC3%rje111EG^7z7oC*t0f+Y}PRwQ@?
z0Nf;@z(R;I1n7G!la_$K@y^ccO{ym;^mm1_O5GW)`BS@cv2nRdjIPk{p`}4@`PPSH
z!Sg79j|?ZFm7W!nv(xr}EB7VAxeOF!6)qjE*3%Km=p7AJXsQv+OA=uRDMr1=xT7Oi
zk778lLrb5jMl6vO}YO6q24J@n1h|V((PcFH&Lb=EiYo$
zJX4ov)g(gGg6{{y=&3MQB23zg#$gt7QzHl!5$_z7N(>|RO4w_;S>KXW+4{Nxl^0W3
zC9Ihwr?5H&P_f+*gxQWl=GEL-kvT2__4l9`dZ0dHXdt7OCZKoX(=XWCW{ZQRu|H52Dz9uN{hgy!N7;2P?(yfv4k$?tF(A7k!_-A9K
z3VhEq=x%&Oy5PXC8xCiaSPL?UE&?eS4U_N^jD=qDbq#knI3B(JX;FD9jN^7Agc{FO
zcqn?ORQaPL4%;m*4!L{$Cjs_CAML}CIl@4(a$z|w=-@oxqwz?>p-r!GwKjdHhw7TP
zvh@+z=8XC3O=&zY0G0qWG4QYpvOqK+)~D(YB{zByA=Ffe)UiO5$QTdF#`2X&<;m9(
zKxI4VUujC<_!Xod)^g;sE9}V;2Bio5rw!S`S5Td*!t9-Y&?O#VfVlmVaQKdb(&*30%
zF^+yt1~|}r*f#i|0LCGLV{x#0C0rMEbmPr6NpN;#>N$&j&dTSI5SCZ)S&qXhaSW5J
zQ|oQbz4-C>8Ee*Qj-&sXy?p9dXb4bz^f2_r*%sp7vkD%kLmj%nLb-aUR&hl{YaUt^
z*8y1t%l=#aMHZ9ylf}~C?)~w~(|4GNB~JPo(rA>{M;)pJR=TxT
zA;~qq028_+b-!Yo%@KYlCWgIz!+;s#q&>Rt#Na;WyAv2=Bw6o;QXT4M|8|(rj`n2?
zwu1@HV#rk2z%pvw6v&lftM0nOlMBL*TBVYnL$LlM*S93X_ALa+)~Y0|K)eNaI`K`Z
z0vPURt~9#Qt|yaK63Qb(JeS>H>F<1P0Ta&DN{5X4?o3_5!A?3-aIF|2S3Vj
ze($AJ;*_;bOK>ivPk*&AE-(1p4n&IBRSIKYs;bH}mWS2KynJ#eSpcKALqohoBaa4r
zFY)yVp&w+GG6M8V)kPZq1De*QwmX%794!f0Ip8ONTVDGX!7UEVt95WGn6y6$DeEmMw
zpX=JAcE+=lbOa`aE)Ggufz*2s$IzY(By&aD3^gWVqI@KM(Rf(e3+CNW+x3jok*$3v
z4%^;!8UJs_>%9y1I7rwlcV|0#Lirg~vU{vS4%jb1U&<|W{5=Noho2&{zWu>`*>bw#
zU+RdMfHJwl5G{WlQ`qjSm7)ga6w(TIJMj6c&aI(b%Q%(15jSAV02LMS9
zC&dZ);-PnTsF(y<Zd~YuK6UK;wc8J@SK>aLc*?#t5S>qN=;wzS4D9T;|17lFow@tM-=q*$sd5_Z
z@J2dZ0S}f&V`-^yX16bb9NN7Fees5PSkDpH&$ONG)=v>7k~wm0&%lUJ&CMJqeat9iaFv4i=(M*^v#)mLEzHEfM)A^zWyA>+AX
zoo&{;3(lN+10g@DoOrhNWawtnJFG%rG8Y=hL|!1t>`%P`6UuW|27_v6W!)zDI@`4(
zj8<)FlzTz0#CJ!EUTU-n2
z6Sw~~TSpYx75si|T<~R-w>ju<^^1XL8>i65+mvQg$_^j`B`GbEN9f*-??*oExk=wq-|V4z&EYj6aP*4KWdxnDT!y(CGW{uWN^2f+M8x5*o4S`xzkK0k6IT_|g4p
zT^W}akdt4=+X^2Q=}xbn*`@RCtsBqU`Nu`=ADdPi$)D#6PuA`WdZ#*eQ(kz!tjz7f
zU-W;LDkN`;99b3UV%DC$GBaZ91c+wbGS>IbJ&$Ab>jaw`&s7N~l$6%+iO?|GNCW
zSaav@^8JbC)7af@Td!_AeQ_qhQT<;->wo)trOGBa1E28;3IzHges0{DT8Bm7KUH_>
zOH#m=!Fzt#sMDB&4a`d`^nqtEfBKt=^6!VHRNiL(mjc@Rep8=q@frXkNl5G+^=Pc4
z4_?y@p}m!h^IxFmDP1%WhWWqVUZjwJ2&x{iNGmb)xj?N7c;m_Ti@ceMtdaF93f?mn
z*_$x!<}=O)Nx%|W-#X<|K#b>Eowfln`o&;4BVzmj?215A!-G3ewX1@`}?Dg!}B_W!rb>1YZA
zNH@ON8X*A3Pn>r>(9fHU59mLwd-=RAAI&7}7{Jfg%aha{k~a3Y6!sn=dQO>aYis>?
z=X&abw|m8rW6x7+$P
z-@H<`aNEnRYi--U>KJrTmHigS)L1R*yj(NFANLylno2&UF69xuw@l~O$WZBmX{_DY
zc4`MrUj}^Iu)ClvMd?k|_f*DR
zfAC{=E$v!;$syZ%Rm*1$!k>xJT08RNhJ&;Fhcth_h|}fkVeCF~
zt1@xwQ-G)YpuXY-0PkKpr|_Vz%@$FYM*bBNe&4^Sh#hp>Ct(*62{B1O6H;n7i`F9w
zDwj%f_S(YhtR`kiP!$njwf|+42I0X9diqBAj|*oKefFj4soZDv0k7?OiOmgXC|WHF
zx+YQ3p*(p92`Hb?5ZC_L33fkNFXHvsX1%a`FB~NE?J6`gPQK|^ksEU1`-=lZSxu_p
zKxJi}W#4*TJ|SawrYt!Hol*~iN2wN;j%
z*-uHvbr3~ht!7x=yX_D{ZqKb5(rJH0@4^^K3Yu>q%QJk|>#LwxIX7D`qxWws?!otW
zU7;yQTzXxU?5KC)*c+R=ymPn_b)d-6BG0OGX)sUKr8b_w2|D#!#z<~n)Jkl8VV~gL
z3nwP~j5gk$sOMsn(?f)N()-RezJ9#Q@>L%$^+q_U0p9gXk825ash3m;$0Tle^Su>@
zO+@!SosW05%k&q0D_~6};U7Au!-zyO%708m+H1|<>=;K#
z?tm%r@bENU1NcY(pon&M$*8t_gs!!s!r`9n<;!N$RmNybEQR_mo>io!^yrY~6SE6*
ztFd=vIT~kcvX0&$DROXG7VxP`R(%Tw5VMgV(Q-cP^F?LNdHpTv+e!s82TlC-HQj&d
zui2e8IA<^td5TBe(g-~iyKoK+n-b)%6eL7qhLjJ8x#S|D!sakJ%G-B*M)IIpaNy&=
zBX%zTRdpI5>Yfl9nj7trw9Td)qgbsi7-|V&a{r0ei-*utH^ZM}cB_A6<6h$7Cir=|
zR7WFnwh3BAX%Xd>A#Fn(yr5&acb_9@>cEtdS%UAQ8cplnimxuImLy#_nzhc|th;t|
z*)X+w{?N!UI38yG&0BUka#p=wJRB<@rwq=8lj}x$%v*`Be?_mhfm+HmDBO7H_gCb@
zWA-@|vxDPY#AZXAQX7w;YDL`yaFR(w-YHu;Yiv+$aOKK{q~wbLPl39fr2yOpfP}=B
zu8ZolEnK(2Gd(U6qe#MvcM(Eus={UOW5y
z=@33Cab>Hy();tQ+)j7e!DQRJIk&kztkrqr9WJ{yUcXTmGO~?RiYr><3C)##^={$8
zyYnij)M@OQ@_e*CJ^w^HZ1B>}(SjP-x!eS5S1^J$ye2XZR?vwky!_q%J{TJOj)
zP20?Nd+UCF*@w$z_zGC7&GPIkQlu
z?v9g={0&3-%EAP~b!yNw7!c2&^w~q~v&T3qtuYiXg?%{=OSe0EF~Z7KzNZ>ggk{qr
z%Y2`6%@CW>&LcwN&7gzsjZ)X~?C;SZF}u7ffL4n+JbGY#zo)%UdYzgpaX|8^G}gK+
zVm4Opvj~@`UkB4kj4{{mcNz+Bd2iOWUD1E~=)et977zWHmSA`MIRy8fRS>I|MP9#F
zmkGb(UyrnSjII#HX9d6SKzTKN`@B#iho?{OeLzK3gjM7PJ5AIgnz
z9@4Ir_!7CgatN8f>QO`8J-HQ6!IMxOS*zjw9j!wJIj#+ftV20=^J@&WuJVL2%tEqJ
zcVVDi6Q~r&*;fl?wzRVpjq)QCEU&W6cmIPZ7~)ER`t!3Q+F{%HY_2Ac
z!Nvm&jyjqJp$RP(?_d`}J`yfYmq)B=OV*U_?_i5Dl#PJf8$uhx>IYuaZ+5
zU=WVa_6~!9{;-djT&sRP95s*GdJb(WwvDkfM=?-cuZ_(gsl4Any+z`ubB08Vo$gu;|xPg#8I}0~hm5>SDGkIg|fa^Oz&kNQnW$}@=2M?`_X+lvzU(bm)EHmDktX34$%
z;NDYzTH>V<-)}C~8BEogT-Qpr4jyLB<@K|9JScPh_nBMZa$9u1DF*R{>=`(;qYYoLO#M6t+(*-=!Y$aGZTK4f5s?+azPcL;#V_47g18@Tfvd?|r-L?8$te
z&(LjUNTlO0UwEzg7mA}&-j;=W-Y=&K`6br(NIx6K#Jg#TI~&rB5j3r^hH%%&$GkVN
zl#*oRUveHOUU5W^B3AYl-#X2sc|7#y7}4Yr!4nn$^IaFmh~#yvNmK-x+$3-6`<(aR
zA35v|!RPQv2RbK@=D`vh_oaa~4s$GK*e0oLSQ#?3<9@N&)g+8<_1zz@638~|E*z;p
z^>y=n*tU%UC(gvbD%R^D+nTdpB(5s}Xlr}zDMlbQASNff-i&jiTXxKsD!>|$eI5Rf
zv^XYc(p;SWDa}XU0b;`5a$Po{JLip|dxqLW{0od`SS8+O`7kYJ9P7$o&p=q0k9(FkO<
zm76>7q4aCW2u3t;LMkhB({2+E=Dor4tR)=AY>8mWXUuUcAx&(cYU@~lGdLBzu=bs+$Z?g%rk(lhSm3jHA+xaL&tr$(BtxCq5n(&?Nxmp|c=a=k$V
zy0Wed-t(DY%@x3G$^N*7OKpdTeb^LC1(B%#ED(T&1LNF+F;V@K2Et6oI{g-LvU%w-
zcmz0SsF2WG?RY%2{&&Y2eqSJx@zAn
zk;Gn5MwHCyJQqQ2q#lh7hy@~Y1!R$U(MYPUs2p$+L+1LqRo6KVOkD2B{Xh`6xPcpj@ciC!
zjmWQ=;N+<`6fC$$IYva)AIFz7qi#W6ttB^{cm|J;-Lzmhx{eGqnQt|Tqt6dRJ?T(q
zJXhAUnUul$tL4`;6D&y7xgRGBYmW9$kLvr~qIBVcZKbL5XJ=lr27u>=ePXGJ?{*aM
zqH}LO{K%fy=Z5KX$*Ea&y)aiXXpfRwvu$pFOVRoQM(<=E`_{B#Tltr;b0zq$t1F_u
zY64BPyaE`
zJ)&>b|02A3U0Y|K!AxJc-BVFo8Cy(`ozOzKs3PrO_HP=2##XxQWWb$(mpRfbV|yPn
z$lbpH^7n&>TH(v$CR1xXyC=8vDL=AtF~6<%RU-jR(~j$rTNETtotQ%~Oa>NifxJe#
zcbvWW`7G~@N`CM-WDh@Ub0T6(6g_f#-Gee?t}PhJXF8%6jxL6GJHEJF)2x|iq;x)B
z;r;XdTa~mcP3=iw>lN+*ru>?XU$lA{!4cx*XyWO+2dHc@TYAm!xoZ7~Wf3IRmfSyi
zvuH6fwwzJ*4>G|UTvhFw_#F?A6tg$F-$WpIdeOZ0?Sc|7Bg9cK(?@c3VlTuD?Uy>g
zR64`dOa*)PNF@a9@0^a08A~H0yr^A?M)Q$vMB_SAkDZvKeK0FvhO57lSjgl!ufvjD
zTAHZFg4jj%yZ!Jrh!G!TjIi~r$?_7jtOQ_lQoOvTlWp&N&eXHeBZhbDk@kD!wIv)<
zJJdao)1eiXM;l(M9`i5akys-pvrMCzP@snE-^0~UFOs*
zcZPE95D;re&T1Z~UURPj@pbOZ<>-;o!qm4xs=TMG90v1=DvoOyVdIB`TH`<}OrQC&
zxBp&^&*8`4JHnS1iEKQ0~(9ZK7vN9#_#1e6%F&gfEFQJ@FLArdN4KX7nFHi1NMg+hp4+Cy%e3$
zh|M#Q4Ql1;M#zL}D%fGOfvc3enCZF(UvoBAut$TSBVQqvPLT{%l^wi=e0J4{VhGRo
zC0k%3$g08)C!i5ITh8b_{MZ47B%b_cA$_e2X_WRfhXV(lSF*e_KvLO)NB7sjZj}8B
z6M|k*S&Z7Y!kjpA?pi0?0ASlN20JS~06HScZWW>baJvq|=HhlI9E8MUd~1L@Cw|r3
z^x$w2JY2epBU(T84hy>X<0@&6lK#~tk=3%h@Td-g$UCSgVV(L5b!OB{izdWyc*BHL
z%$R%ey`=*ax}O2x+Qf0<5#2R-WHIM0HWe6w)BGo(O+gJO!^WEN2Nwt&(L<*t+M*@7x*xZE>V0S6~}{iEK?0-gGu=7wHcf
zP10;|ewF=a(HP12<&u~AOKN+nPKG*!8Lx84u3;Q|`g39i=dfo&JN3lQ)QIqZ4?h1M
zhAHCNAW
z!x#s&Ca&t;EzsDUzPz-mKf>4BQDUC7DpyHJ7;KFk4Un(2I|n4^LEaXewUgZknwo+e
zmpJU@b4{eOMIaJ)GlCRnkEO>9?Sy?Ac9AOfmMw)Og5T{B~s@F{v&c|
zz`~~vSc+Y;s;M_x2RxHmpx!^`r&Y@=RZVF$b2c#qS2vPnjg&
zf7>`{8`K=0#iPYsIDZ3}UZdu;DqIH!NLLHpzbQXUu57Fw3?i;b26L3HQvNum=VVu0
zRC*NYJ>-xi8u9NsE7r6CYOYWBranrsPo8M+h)DhLBj>VkFUDP_^73QAS4kEMz_N*S
z45grt=%pHLuo=&SX=LEp$d|)fUK7LfWg5QEz)X$(LH5(AR@N{ySalDaWG=))a}pJs
zK}v=IGaU&WlUU~%mP5gaLYI{lHx1`WhZkzD+rPQ1GFC3*i`_Mj8I*XuJ-k49nH%yr
z5Y`V8Xau*hxRgv@npDMQu8MNo@DJxA4D;{{8b(*;DEBmD>d6(pyTWSeL7{|W#utu#
z=rz8m(7{y!c4NOA0cn}B9^~*Pyb!Ke0ODyg!yTq`&-n+{neAz8;_Cr)Oti&7b;$xM
zz25qzdKdXS_6iUg6Lqm;%-QVfjRh6>arp<<_l#woCc*6%_2oI5faAO=Kx0U0K*nOY
z*utc|_k9x36@a?gI!U2L((9pjTMl;~A68#{J}U0L*>cPB)~B`RKs%)vFsbAFR0Lmn
z_`lSqxaVCj+qZ&Li062cM6e)SRSYH&izV&LVJ>`B6zfbiFT6$H
zVj4j^w5vg4Z#UatlTUKeEV{UfNpWf0$5>FC;lLxm!|KFISNa`ZU|jEa>WIu2QTu>d
z7aG}H%^;n;H|WgkSeVC9a75uBaHG1fzvBuefH(g-BRZ1ou9`$ToI-hXv)}36`5op)
z08ce8Unh`1&u?OY1grR2)kA%nmje;HTIb4=<;>3Es5crSAwQ|5t4E{K|(|wI;`FOt@58dSudsS{Re*9+5RU&~4P1bl|YuX!O`0
zw0#y%Z>M9fSm`(k4amjqEN}Kq@?12ZB%JnrvvzR-O&C(2B3kWp9NY~sHs#C+Rc-+S
zOZYrj*O{zXL0ougNzfi4evCHp;w<cKr~pZj-4)3`E9+_YI4&N|aCI3Q}P}TQ^@mSpsiO7OF0xZ8n_w
zwXoK%K)HV?wVDNF#Y-b1{GwQDJ<#2A(Bl%Ng##c>2W=fiae>1|Er(X!Y85L*+V+XhnE
zvClfsqKheKaM)Nqa`ak@H`F+`k|ld;1$voAR$zv)lh-9V)^Qu`6d01L+A4X-mA%n+
zq#;=APz~6LzNA|hvydrGQ*}>)rBSb$y?em||YO&sx&H{eTC78uXtny(2JN^{?c?4QtW6Lu8I()`OQ}-rqfD&NO0=D*%&M%uvKf9dCBHe&MJnw_-
zpq|PZ52dmum^nZyXG7cK0Y;?zk{->s!5I~l@u>LG>lU+bCHNH!G7dp|S{T%ef6z9f
zOnSgKc6s3#{&KA`_tG1)=qkO?QyZNW!Q8xZGg%f+5P-sZLGWbK`L;_sfaRo#Clid7
z{(&Nx7hj*WKIklPwzI()^Qpj$
z`Uui@^h#QM!7+{u<(nB+>kiX;F1UXk
z&rTj=%hwK*D_63g_DmvMGi5a~bqR$*&nC~@q;>g38F=StIflMe?e4Cf@tm4)Tq_m%*Tna@w&Wc=`QKM)+5h$}Jid5^KbIOP%w8sJNE99zSno8J^)Ci`{Iv
zp<1t=5jwR0X9~`US1a#HK$!bZqCX<;;D==dN;TJEdN&0SYKAAJwSDbyu+IJSKQi8S
z^dA#uMAg^5d;m_Rwt@I5MS+o}N0p-GFsjg;f!wv;9!S&;1u+rig=Bs3L)yoecW@ULN*c
zo>yE+A%q6v?#ea@{}8E0ab?t2jl!5g#5@?F4q1AWu}z+8h!Gb3*=4fi&8`}BfSe})
zy1
zSvyU1Q?&tsU=Nw=_#g3H2zXvgL06~k{(kM+vL+_vPc1@==`5@;SD!1e=l-LcWe1R6
z=4#`JESY2=1kL`44Z%56JFw-g&xFPjvbq#S#!}RoQ^rZYieP3>a3nb~{QH|)vzGh0
zizCbCYE{ER`6iO$w}6lBJk1%Q#w3?F4$@i|TBT-N7ld$$JJi~#SUI7p_+hRJ)#BUW
zstFfmN<}R(6*8D+=cnaUK>#;Ec?6!|^D1pcV%DfHpEjy4y_Nq^HE#>GmLK63H)sz*
zOe2GZX_1h_JMU#4YU&^BCeoN9aF^PjDnUWg5s*qGtF2j|x;@UlhM)X~`|39IvmxBu
zPNX-++GKDkkW0=Y6dlETlM^XA<6idRyH~BrxwMxmOjb9|z~_lU(eMS@UC`%XTCl-g
z%Jg$PJBaZNH?T>~i<-5718rIgAp;zpWMPZc$-Ogs@gxXW53@z)`lP%GY2zL*yo+qB
z&{zlE@!;6Wz42K#==db797)!+W9jtxPE3OImRXmvTvS^e`OkLmsVvV_Lxwc;Xbr6Z)@Ni@Dgb}UUP>cVTuspaIT^~~juD$_|-{W=L8v5OP5I2(*EUUHO
z(l}u)UstRHV29X+>{&thTq0^^&X7Rcedw*wcorOH0NylqW>FV=@Pe`1yiWAWeTp{(
zV6ao3_{7TB=fwrZxN}eogGP~~N)p*ls%X0QGSk<4zuiujArL=ffiSOe^bHWe#}zu0**e-hbXK_);34RfzPRs~)syueFe{4FR^!xDe+p
zq#PPE+&+ZI$MfFi)x?Az^M1)wXl|X^RhhXxMq`5}$lRfgUs3AqAU
z&l#qyOID;(bA|8tj8dap)8+l2!aZj7HBE={&BlkQ!j5EP)9(VjxY#!1v{q9Yg_(~F
zV@U-m&>n-}+1C{cEf=`Wl$FQsl9$QfRidDa>b$7eXwg79x35QLbSAMPpku?meZQODEkU9Ga&r4;u2==2Bt8
zBB|Z=X$@c+WH!St
z#pfutSYD*=oQ(>IT`nz@ePSg~!B3O5zvU4YEsYSHR-CDdL~a{}$}NcNJVgKW?2B6l
zj3}rYv^((TCZ)A^&@d9bNj+cLyTSnk?5dYj`nH!$VpnO%Fe~-f-;Un>Rgk*}`pTW>
zc7cVdFTf@uzo^T89s_Hq4srjpbYm>Hm6!nSatRsc)an>r3Aj^Lb^)iDx0wPsse}-6$wm0`(pLuwRKKGh2#yMj?(28f)EO
zeQ?dKKJgVnG~ei*t7YjX8hpH!s=m%LoJlal?;E?&Xk;ofj10C)VX8QmP0j$(
zw+FG{#vTSc)7`ycMpouCq99F?@X%wHg*QSmk#%11^v@6WvJLgGuV^)0bf9bFmAd31
zE{u{=G)U;8yp;-Hyg}Mac>5v=7?6D12}Ft}n>eZj%gzoz!OeA=&4UrWwj|
z228|4W$_=#f2^rgVe;HHn&`DC8;%`+-G(pNdUQ;^OF-+;(JP=RV&9fGv2aTQGK2}c
z%xdrRs<)s%vA4_7{jx0KR^`=eO!{r);$sti$RmRq&kTQIsa4io%QGTRrqu2zR6&oC
z8}}{P3!UeZ$z8VGLJi!^sG{5;VHgz|reL3&&H9Y2PttHc(oWx$1Aaa>|Jk6))R*?d
z$NT$53o+XkFFRvys_BRLu~e?b6KamD&QQ5p9B!TEUW?P8bvHHu^Wsqo37)e;?!(-L
zj}%6b!HV_cYLYzOr{SnCSt_C*)kM)36K?Xm!>Mt^Teu{-q#IQ?g|#YA++WCVGHoft
ziqr>;f$0W4EoxjSE&g2=J?^TC2xN$Or9&cf>&e;4msdKdtGFpjHOQ*=NyK}>{*If`
zIGbov6|?4&8%;As=B~l5{Fvpq1KV=pgIR=M?7~)7h}#YY6|O_igie7xKFcnk|8<<3
z&-V7$(eA=uI;P6EJrv`>diX(H>!ga-b@FYN*M)o>6Nm`C8xTcSS|WA29;8kGjH0Gd
zBemUKzGdorc^ecM0Jxyw*=D(6T3YYz5`K5fQT{YTWILZs4jbIm
zz|yHH*>xO1IKEOE5SG(nfpM&bT3}5Vq*%c6`ASfIG7P(tZ?^?n)(~0v$|F}}L}R4T
zwx+}uJ%pE9ic&igX*)E=9e^^*9GGM;9ejxp^)p>=d~4V(>D$b%ib$XpgoD_Ao!*GMG%M@8h#rRJffQXHX9=9bNC
zm6YT`t+*36Axsq_NOAmi)3z<{wHqnXh~_krL!X%tEN5aLs!^B|X(jE&j2l#f{;TH~
zuQ4o~e@_0sHtGJArCU&LnOCp&*o-b_)<3fOu;sgXpeuFByhv+)8lHsk*F5&NQl
zs5jJknab}64!qpU+^2{iGi)KpZ9eSsVUa9(5R`_{swA^ZZj+x=j7_-zoEdNUhx&Ni
zfM)gGlb@k;>x1iwpiS@%1+zb38ZEJSM68dOKi0ise
zsU(x_l47~9R5fi*l!}HYoj+V2KpTNG13jXZ3g3tDa0u|dahb8Zgrm~LAV^7_$G)?)
zpGf?%t3KO2&XI(#qay!D{-avRVJmWFmeB)Dkh0Nug>6D#+%lMSNobBDXJf10c&HQ`
z`#1hS`R`QvcHF?@f=hF6X@cKH3l;E;iagL4ft0`L@%3#1*UG_RAoS;2;1-9wMv%FE1v4Uug=R?Kl-bu>cr76uY`UR>K8J9
zaSq6Vr}Uh=Je!ZFBwhXP{ADnFcLu$|agVRowvJe9cmuKC*-g%1yi?yG07x9R1U^ve
zrMX`OlxfW;#dZ-zbbWc?t(YT|eHQ$hnB8LQH>|QVd2(1SCNsI95*wg@}W&wolb|uu)^b7L^Kuz;^*{MMh
zXCSPp1NSWX(SyzN1&@sFr;oocn0#KTR~jCvY1rCMS~JverqehwUc^-czV!!jy+wJl
z3B1x|8;GHZKW)g_K8B1Q8iBsG#-Ckx-dA?Zcv_zzx
zHrfMypJo1Z9S!6^&ciX~!$-bn<%Rw14J&0YbT@_bN>K!4J@G?%Qq*q!?>df(kJB$sr(R%76Ji*M79FV)9?j_nRD7kOH5Xa0~lamV$OS
zh_&-4zoewDx)j&Q7-rdy%*#E+yfumC$hh#hYk?%CB0jg{Y*b_uS1oc$==CQFT}G5tnyk^-Y1q
z(_!X`w-WFM3|$hA-QL9yk;4GTo5IL-e0bJOv0d4>H&#!V+;p
z7Hj3S`pLScStWu@k!(oQI}d-)e#e?C$k=BIR+*EiObsrEi|}apP*$?H#75P|e57nm
z3_83M@I_5z)ma$8)(YgbtD_LGZ|3E*}W%kZO*wV9jc3UW7W3H!jH+;A@OJ-+yTE4
zIn*Z&m&E5D
zWWz8QZ`tBoSl#D|XwaK3{BL(pavQTGegTj#H^^}WANFk*Uw(?yf=fBPl
zgUrO3RG2ek<+X43IjLHHZc>eGg&F1*=Y$1a!Uxtsj8?>4ryrAP@SUwb@+A}bxr?Zi
z9V17$RV72829ZsVwN>R}G2BIAhEK*?nbQ8w`vyY%=3mtT8i{;MHRx@)Nu=pNx65Of
z=P_kH&~-vu&s`rO1(r5+sldOWTU6Vpi{u&yG-I@%b$M;-q|pFv8HCj%wG$a7
zZ=;{Uic?gT3sJ<+ePFl#l8fQF^=q0YpBx&SH0xZ8BZ4vc9uqroE--V2Q+fV!dTuiB
z&)CoDC4f%G&dJnTxdC{kH`;OX(oEj)e@T)}Ro1e>0u9>lHHh8LdGWtToLp<=)J|gF
zsQT~@kqIS+=8wS~rh%8m5zskufgW`ClB_iVg!XfXRe(fPm3*h?=6@)vAX7wP^kBBw
zd=f9MkPDkd!xHrCWkY6)!n}TesknB&#QLYl=U7jy_Y8hRe&;jmt%zyCi)kQKSQA8fq8(afE|LvE
zD0}lC9C@6hs=P-s7??7V7d^s0kPaf{#iIb<>2yN#oIlU--a#E97Gn^@0hHVzUj)rniK&vz1MZ7Dtb!FYmr~;mV_h0={1-4062PS*=k>A~Hq!?l+I!O2NmMqNyQ&p-EZN~!5``L8X$fhpX1YG-L
zzLMNR`jp5%#vPGISk#lGTO}FbPz@eIrhtvyHY{1H=BDqV?$M{}Re5^m7{44u3OZeX
zLL6&&LD6tUdR8DXqYu(&kZzKuM9<>mq0mqz0gA9nnUBUAFjJP=?ee^et!%3laM2OMO^=ktw&La
z$EExYS8R*50jh*qEDkHCs?S+pSB@X!?tr4b9x{P8oHe|7EatF^I2sge9YS6foPa0L
z5WotrnbhZ(Vh|U$IXWI$hFAND7Oy82>EbwVn_;*;QAc+V53cF1D6vj}!FU4VC6V<{
zE7t!#YEepz7KW=d*#@vkMwgjsOl=XpcbUHE)z0eT`)8vX@uyP~_E{3{BSR5mRb>KD
z=P_krxP^K0_(QDqA(kS-e*rWcEyh21ghhBlTQ^wRnSk&P?6JQ%%O(iaj5TMyl?&**
z666`p8(?8pc?mm65WD%#>i9^KuTAnVMhfnK`otZkvra_f0gyT#tPX&*38;`NIl=jS
z#8zX<*2T|t$fR^GpG}TS`WV&6y#7@J8D1X!opS4)Sk-h<+6K!iSqz7GP2A+5p@1%c
zg?bh9*9)?WRkT!KE&@>CH(jV|R6Bs8(XeGy^>36j#>_zp8^)nq3U7==M94^Ud_R$e
zZcEhc_Z5?bWfN-7VZfXR8=S-{ZiTTBS8ps{|4O%k+~9#t929p9=)c6WJfWcr&^YHY
zo^DSO=?9$68*d0+{4CY~Yn@YwsC@TJ9b5uV+FJ<-zVclP8;sJdt%$4^!8XqOkf1j-I!j2!}uxN(e~?~Noe
zX@nRXIxug%3tK&zE=R%Ik+&2`Y!y%Bjqz+tH5aVCHc-{l?goDjS2WK!`g||2vaCk&
zd|>#Qt=5Gs%~nSF8EooU=GJbuL!$8w$1_Y-b&ZdBFz2;hLW{pUs)%p5FmAa;ODQUd
zNL{{%RV8uN1H3C=u%jr6uULDyXa9FR#T9`1?}^1UvF(}$g(!&A#wD8xjzir(qfe}O
z+Q1&$q9!+6>j6#~C##WkxPNC`68t3ElPi>t4gIn`$;lToc8V>XC)W|<>bWxL&sD$6
zLfHUo6POOZU{7?%Shz@8CMq6^T^yuO*cm)KxXPZiz^YD%;9_seX2d$y=qvWZO@H>!c=m1(_x}8&!$-XTXvkslLLl`xf=l#@Z8I6pZ?}WtRjhmzhd0NsnC*kt(^LXT9J(N=
zn#H}~s!2K}OHoQLfug1hV)xqQwa;OzAaPiOp2gYPQuNPwsh(+HdALV#+r_&5N`~`8
zBu{RrT!FNSC3r3Of4!p9Ai6RqHV)O9+t(VUd#(8`ZWkbTX|nZL=q^!tVgpqRVA{5M
zz)if``ituJY7d#^2>K;}nUp`t=Qxzx?>Kmp!_(g>xXY`(Bt)oTXrDe9dsut!yx*D(wjvZ@+(&HF3s-_OH4+gBj}by
z^Z4rYgh5^(=`rkn5}u{fo85-Yv(B4-X_*z_$;HovR`f(qKg1fCF9HDHNtyL8V1o%<
z#a){x$9#87uq^~jg_ZN!s4Sm+vJ9?
z?jDwjVe%4K*Xitnb=YQoE@5_dbplJtd3KTd7;PNqHX5fZjX5d7I@0N1U0GNx_jBCH
zhK4_pQ6fl_(n_WhoHkx9aPxgQ)5U~jR-R;PO+cZ2z3Q;?A_~mbK~n{?*?I|(%Rov-
z7Rxg^nd+A3C@Oa_>E#{Dab>KJh)A@N
z_b#z2NlQUSx$t0vX$31fN<)uw0M7bc&I&B(HzJF8R4^T4OJFVwXO5#?c(8lv{8nSs
zFNViz`R-{eF1bxD_h-e~HvohgEkWXi-~xYPPr7SxY+Ld^`kamU`-6nCK2a83vCETI
z0sLu5|IT>B>cVBMuKRBaGYZ>IziDiMi?jnQ>I~b}+Uby4RQETwj1bAZW!OQy%}gFO
z5ci=OoEybD1dMly5A}{fx^SW5XuCH{Z(?6NS=m0oHWDshEnZxA?HSr|xEep;ZtOHL
z(fPDC{&pPSMG=(7+djkUof3Ad&;x8y(ZJZbv591NWDfomowY)ONjs-nkvZ)#_^(|o`>=bG
zbI#hL<(VZ((KYvqa}#bp6PkY}j4jam36m#g!;@CSl7OqUm4QHyv+qCQSQ*yEx_QxoKPt;-mfSO+kf}gqaNOIZT4~$AYea
zYDDPgau7cDx}ZdY{rHyC+#91M)EZ5CDdugI<4}V5@F`r;+H#uT!x6!`sXvqKC6bop
z(=Eg4v7HZ3&*XlxUvwXzdS5Zs_GhuQu;_2sY$ADy`L8%MaU_0qE`EH%(_mhI>w$pI
z!s*-h+h_}${R?(y#)7u)^OBdvSZ0C@o}SYY_e+>A{f%tLyURLS$P1kj5?yf{!P>vh
z9gBZ9>#Fj7`O5W?h=kh%$vP^ztc%x1R!?5VB%9X9c8HYBP9qpAbx_t*j>B59IqWaHS!vM
z`|;hi|HQr5#XHtUVs}+Zcm4H^?h@=Xb9=|L6JdT)~gmLZaB%e`5AY
z>C8!cSHN%Q{Z_bRCagx@dThUy{3od>^yt)O_sOsO=lvMRH2W@7x$hDr1%qppOeXUJ~ZRV6SFAO&QPwKyD8^3m~etr@mmn#mtL_fsWmk!g`80yc1~@0Am_rz
zAuppEut3Ff{^CNYzMG^1Au=PGYAw&&E)B&QH*OQgJDlqji$ta}U$%LS)*8L)yy`{@
zd6$HX+j;NS5C0kN9%OXQ0%rgf(9PE9+?o)%?k8TR95_*Pp3{DD=vZ=zW~&LIQhGLK
z7HTcZb#t_$&fkFz_#IvPENz%sl+QL?QL;b&kPo(B9KhY+{d6)*K=0$y`TUI;wTTcm
zoy}_vkl#iS#Xdplrj9wbOL$0XPFw~{9*gVfrv_a>U;yDR%h#Nkl}MWkjWb1MVT7ezP6AgCFOD?vDOL1$T_ISp;`Z3ugs)%_+~d*<}HN-j^ZsCs+H{NB1}SwsI{(26ij6LI(HS=R<}*jxt{x{=8^$
zZRGoU)|rch-T6;_szUwO?t>$k59v(t0*7O$GYg>;Yc739rT@7i7daldsnT&Ugw^Glc7Ue|047~fWH`3YQ
zW%SxIW~Os3`s@#Af-_Ut_5YU4P{hR~_V$;wP|n<#t;|oc9?^z!Y_U}0^A`Mek;0Gd
zA!dL^1j9qw1|h|emnwtIM%a@HJhP%=+KZND+z;^`fQ{qpy97VMD(L(al
zE~bS2#4xlXKkm=>|MG79`^Eh9=f8h>LCHcXA8!1*M*@L5AbFUjBv0mYFt5L!wtgs?
ztCa>jLm6WU3{4h1puzQ|R8GeP!*x4I?27cWXg}Xzsdy}S%u$tFCN)(lqKf4jWkPU2
zG+kSagEc;;?=(2!1I;T+sClZ!n8C=bI$5|I?5SHoKTFpK6wO=+cEbG!iHSc|d
z$su1T5rQEA6O?JylaHCuz+so;mxu=%b78r>mRO-rlm}L~3LD;i=j&YBr%zNkP6pr$IM(d2*%{iOvxQ%DQ1yg
z9EIo^k)n4U#$sglaQrqN$grX)g=6Dc8Z7LoU{WJ7es^J&B{LnZENqMQ32qpc1Bl3N
z&O3j&^qG_iBxZ&Me=l@8JObAt@m+y21fzFqtu&Fl_!E{<9WGoFYn4jsW_>CNkm-J$qT#26>h=b7imyISr%J
zrsj}m!u{-tM19D{dyjCPC$Ye~AQ%k{>b3#^?{o)#@BJ_$OBVd8kPekVgSgJnL2M;N
zFdGQ69PW5WQrHyAcc_cG5p;Vkg2Wt5v}SR{PY6=S5W$LI-o}XAS_-^cHxJ%$_2Xw0
z6_f!J?2bhFdnj1Hp(t_KT4n+dRUtGK-`1uwRKW!q^gVL^4;mp;-K)<3C%u)d3sfBA@L5?Mc+
zYAxLNb0zd&WbF^jcZLsMJlT5rwd&zQU`SQjql#$NR`0ep7lE=TebZ4rVyr~lyZ4@z
zd{^rw${)C2k9#^jTHJnqkBcC(`O5B;L*SQPQ{m8#()d
z_XnQ8O)GARef`njxBS7T-}T`_wQIuVzt^`FB1e9H_!xO2umNi5YkqDS>bq0EylmZn
zZ~b*>y6mNm>%D!G$vuZx3tw#Up5~bxczBfiBXASKJJ3l_3@zkjesN1Edd_Jy+$`(Y
zjv{aIt>oK*_9{cWbc2D#*vqYvX=STVmA7+yFGQGRvU;p6+7!4j(NVI&DaB`Q?7$edGde(IHYJn(OcB4f1tq9ld35Xl(C%hT>X#U|h(zDe
zQ>=5$Z^spG*raM*&s_Lbv^&%6Fp()_(JObp)?7f#m;a_D@s!NMoH+6V?P0c^Q*TfI
zy{7dB_xG1~20K5l{f~CnEmPfHCo5dq==l|`a$-}5Ewso~zEH#5oAMGNs8LCLm-oL0_GEnCau
zZA0AhT?1b~ZA=86B(yIL;T5+Yw|G1n9r^uZ>s49$$v5@CzmLDXf1vT7kIBBJ-9?`0
z-`xHiq;Xt7)gkFy!$vaNL~1jIA=VSw`7TS@V~lMP|FNBmk=mk|gq5V=jm7MsX*@hn
zJk#X{Cq2`fZku}PE3G%a$rY0B<>g`TuKR3LbT9tL`h3)NgzmC1@YKwo_X$4l$
zGIf{y(^s>YUz{NDHQK*4ZS(7Qn`Mm?DvomXwrlJ7(tNbUf(jMA8b#WN)ZYi|Gnj-&
zr(RLM<)*Dj!;M?PWwIZI+VR~;AE{e<586E@+l8R#bU!$HQgwhCZ(D^|
zu)t`N<(B~04ahefnwR<8$Dx$>h$pFdrx`nQy=!}5;(Oo_l5;PXan6t)7hcIHszF14
zWuv#qpM2-qDkS|pmID6*fLzy%9Be@**NADauv-tiF-y1Q=_Lm28;ZLTH^J3#e7)wn
z4;J%$>48|~24gp})(-Br+E&S1DIy+v1z}kgxc3~8xD*=B2hM+}VJea+Si@N-1=Bl`
z!BHe;o1Ja2RR$cUE#94n=Onf4iWa_4QUz^A!b-8I-D0(#0ECgiHZGOE32|SAoPM=I
ztmrOEku2%JnhihI7hV;%Nt}(Yg8*w3KvMyvpFYT3!^gf&=F|ouctUN<|7@Gc$Y4ma
zkUOD2Rd%xCF6B}@
z8AaIASD9QZQ|VF#*i}w3sV@<=h_pGItCn6e?v7C3F8flymhHZx(n*;z3G@Cxre~PP
z`>!g9p;-ZdTaKLSS>~XizE5QlAX{oqW3ECSHpXcKCB~kGr7a1_w<%30Xb(OgrWe``
zcuvCyX^txPA=)!FFH5Z5M(mU3D%bdyz(8zJKxraCzv{EZY{){
zY};LPm9U-|f1IVY&0!!P=mvkEpF&P?;jxpvENyR_%KuEnBxdc>_Xqh|;ak;@8M25X
zI#ob*4C^Pt^!-As0EFx^?M
zQx1s9XHv+HfD5A$LIB`Q>aXJ7Qw(6}znK?es?Rf%Qjg%kNpCwefOQJ
z6k6r=V_FPethBUqXUKus_Z+7g!zb>|Cj4Tjiwuy7@)D;A>w8fPWIV`!=wT5F4yk9uEzH%QxN}BROr-ZW
z;+1N7A!D6*Jce!THShS3rZdJDf(p(mFHE#nG{l-6+Ya;J6Yn)TP+?zLR_7-ngjeaT
zfGt>L)$w+RymIh>agDEzrpS{LsT(j3=ssxw1j(*TAseF*i*l2G^bDI-yLCzOE;ES{N?0EUKI9$B18NJ3|hLdGOBJa__umwB{Xe1}p?d>OnfhI|-
zK0IHm(X7P5xWPJN)!?533E12=J~@)0OGgH{+;c5E2oU3pqyy}>n@Byr@&4y-kFnYy
z6#N~DyA>-vJ5F`kWX&3B09Oay{ezch&z!8HpmOh@At{yk8!uUV8Be
z<%2T4x|@-9c=TPVvs1rwd8KZ}tU>RuI2IfG#E8j)dg>r&g{6Fb%Ai)X!jzdE51cMU
zL<=Z6VqMWQtlb-Xl1AT;x{Flx3lzAA*!MqrE#udlUSoJ(BZJFsnXiA|^?4x-KLGz6
z69DM`0G^bRuSP}}Z9vq}VyF$#LJrHuMU&B2W)WxSDht?uI)!RJ#J>C^}D|}re
z$A*l->N1hCReqT9flprXZvG9E0Rd5uNAcN}m%mw0eerhDeOJz2@D`H#v-vXDMDK^d
zcVhZTty@q%EEBMl2w-7AOcFptLc*?uc3-wMQNOTb?*O_kd?dJit9===9CE30Bd~?9n9NFl732(P>SI=
zBAvn5SQH5}GLz@%P**za0~lEKMrS@#@%gU!Mi-Hiz?p1O6iTrZGuePd
z0Ekj5vKT=4($H!6NXdRxr?bA^o05lp=s{jCYym^EPE9i9>bm(qnzIJa+zkLjR3u~!
z7P^GEf5P~R(_!{NShPxdM3@IoLspk|?Sdgk{BgQI4tkx!pI1X;G2y1B@PWK=)lD|?rw
zh)l}}h$#KM&Wr|aRqm^g+sAali;C!UDYTY4I(&%*ATWh?B$?ntMjD~w(da~Vn<67p
z@Eei$wHT8_hjbt(AAp>g>UZ|#{Bck}vmz
zMDgAg;~7im8RZZhQjtL~9p@Q;ff$)mjq?lYJ$=^5&j0xf(k0P7wuOr{@9LAD3rV&P
z7qA`|HcVs)AOs;|TLQ!1>zSt-CDEB6VF!5}g8(CeY+At|2Qu1=nX&CS0xyy=^IH!CIf+POh76YJ#h;vGXuM03s<2-`Vo0b(igd|hvGJks9*EpjPoO<
z5>-6pyeRrQ5nNG^`D;>g)P+lu4Bq0lSd&PhghBNcAz^?PR4JdmHzM5D&Px$`3tq;N
zf7v!F!MIVy;5)%l5%Ne1{Y(^%F-*C_Ap*sgTg=|V#+1jQUA6pEgvCz{45=pg92%;E1T;dSd+-V@MS9&u^t&?`f$w4`
zkKdtw>GXvBB^o(c0$pwkcSJ|~{q*D>^Ra{ar6Ya&y7Spd$#eC=T8brPL+GzwTDoT?
zlCx5DvqJHhe2@>*`Dt1P16=6xj&xKP03<0w8~MzHIvI;IBqz8SCN*0&E?60b%Tnf<
za|z`rb3&fYi}tpKV_4LTp*pjkpQ969Z{FB^TFb0dr{r4qYg1*;s|EqCZgzylWH#`Q
zDPA>24QEtwbMq*}8m@9Ds{Ru0sWa*_2zhgIp(tJpeI$Kn?+W_b%Tj()Y|1a?01mZS
zj%!r|!p|JZaj3@YQ9VEjg@ZA$%ycD
zScrRG^Dk&+$HW{yxf-$D7{`yvarGBVsruB6+3~4OCD5Rq?rniw#r*AGmD(4}biQ0~
z|2u$@l1XMY=ZST_%U;!@wi5>dbqaytJTLG5mstb2VR;nM^%CKe2Il310ZYvtP{V3%
z4Q{jTj^4VKPupG6zq8mpnebPG?hbbDgG`j%F#mDu)f~4zZK(0XNwdCcW6|%#
zJm}Kyhw@oq^xo0me0j!u*TevnuZfxed0CA4s}3DmwB0L=?{AEYc~AX#
z>m3nMWYC@5=3WC(e51LwS1Kbzk@%^o7mM?9A8Kc0wkN
zx)_=@*L50{J;oQkhhw>K%k--5E@li>P0Wh=(&7}FuW5l{cMT7ZR7{G;NPrE~TKM+@
zZ9b3J*{uw+>X&lPN1#i5GPP_Xn!2&1hTdMNS_|t!2j)CK>zWcHuqkgP7U
zHVn@w9Qkp!!#H}#db%AY8PMTZpM%o#F;TI#YJPq`QOb#(R)!Ciz!yz@R?SOnQG*(ouKK9`_my;
zKE;K`pLwQwyj3WGx1upw9CxbZ*Z9XEY&N5jCoqt4*tfAKf7Z#slacKdn9v
z*ZU%Sl6v4##t8gW_*`R!#gj`JRtX`A+HMQOZ3o$_}dEz5W0vDy7VLlg$F?e(hp5+Wa`pN?O
zz4J6wf0}TeA;2&8ep{Mv8V_UUu)Fp6vcdV}pgY1Q%K~;q(g?r{3n#=f9-9%abf^ab
z_QN%FY7ly!k!nzcf#vQ(b69|W!abYR&U*iWNw?v*SG0@c
zQ!3qkdL8phSoKk)$HfmZGi{-7jpuwO_QdQ-GasEzaK(e
z&(|=EZFOH(Ul3gJCg^JMd5}D?=xY;>=CJBipD*`4b?)W`i;C^Ot2a<8TYh
ze7S?jlDdG{{bj$q7OV{(#puPt>_WY?m!N1xIE3VwHvx@LT!2f#Ob#J3hY)W?CKeO4
zNr(HLHu7ig+$T|}^~~;Ue#87EXA_e=`aFliW95?egr8SWU1)l78h2mrFGS8A{huhR
z6%BW$L7fv}x-^J3o$)y@Avjp35Qgm)OyvctVFQ&R90oi8P7d_p*OP;JYbEJXzUf;&
z-XA%BXD30p0_&4tD85;B8pIS0_aYL_iB+00=4nV4sF28c#M(QoQlwlK6ueB2uIyc-6LS=sEC`upw%I)z=!0D3St=tj
zaunKq#5rcrm-U^+Q^NS#S5?Yavpm`D3wPlMU&TTHL7!o45~210?Ck?WH5wZIQ3nhv
zhWspU`%{tGQxtONQ|MhieW@Q@Ojca3KPm(tXH*fP8t4i-%gVS+|9o_n$2+k}{Nfq_`XB8MV-+?kvE4LCWBvbVclJBSQhSEp#<@bw
zy0Ktv?fC-k7RP~baVs-5pdQJha`@O1@3&z@0@G0wqIS^A1n0VKTe5LBhp~S*;{VX@
zYWvxYN9n*xDegdycGo+V+6>#6OVrx5Yb7nC1g{Gm0`#wph>?^9pBIR_GiOxAR2bvl
z=-5o4r?Q?lsn8JdoDv@R=Y(Le&?Lfd;a<6=IX~IRJzy0=&+%76oZ(gFS)j3rL<5s!
zU7P{CvxpOM_5>Eq=9N14d|^
zuJR`r%LZD4*k#O!QHCurkGpB@A?1`+Qg(NQqwg(W^(uP@A!|`5*ps71K0W1UvKKSJ
z`Pls~;+ZpZgL`1WU30kSIc4PyH=wX;E26vA)pj7Jc`CfnDRpqa&E>|45O>Q)0p%H-
z>DXBhBwpXueDan!zrR|^*{mrdc_p`BnR%XjE{#{YY3i0MV%h$ro3z{L
zxb}n3RkqBM4OP}S`cd4!cI}TrxHY6uXz*$ucRY(j{`V=(`+ssdi>l7l&QxcHKm0a%
z%ijcPl;>(FER`v>ac@gImh-c3n=-KENgJS9yy{(3f0%Rszog3VSC`LUpR?|Q%?*pp
zl$~>bB$H`vnt7&!ww0}_4x|*@Eiv|uvUNFU`S4)0onxYv#t4y^^S09m5->n08Q@JE{>f<08oJ6vdV6DrQ6P(6?0XGc|
zmAW*hExie9`<$+K?~sT{Q=Z|jrdIi*Q+NO=2=4+Otw1L+i+!QQYVG0jgBSfy=VR*Nu3~_wqptf$f)n2Aa}HGi)KcW(J7KVE7ZxOiW`-oI=RE|6nA6YJyQ5)KjVXO
z9$3?a^*#`(L@5RcHDF%v;03Zp&iE^v3SIszDt~!bY?;LAfOtkXe6~`&;eZY0$#?+T
zdYk{YYC+6JoC|0D348d?z#|1dN75KWS}u+ADC;8(CR2(aC;6foA60SU?wGTjrM{Kp
z(H7w!--Y~_BGR%OF?R=1TasAi^PgM*^*3mPIlhoApf@mXy_JVsKvN_H3sU1R_(`5E
ze*_baP`PZF2DMmn@S*
z7jT^bz_SqwP30=Am3+A6JNyFuQcBumMWE>z`|{=|TqA;e#NVD>)vm%f#DUamV}0#q
z-(z5^oRsleSU{#-)giH&bl@fbBv@);XleWQcw^<jF0Sj4xg-ui0fu)*R-yH5
z_me1A2m1ZUSMQ=6n^os*@@y|Yc~ha@^ZY5N>F46*`UM`Z*_@gGpk1p)_e!(-`AOXd-7{{yVh!Pei()>T0dkTW=*KJRkeRa@MS!P{%wQGy)v}#R^~WawZuk
zw;8YQ^UQb(*F4M5sOr3+D2@J{-HNsASXoRu$=3O^*z~|g;Y!lSo^21|8I+*{0%uZ{
zej1&E0&2puLejAH1}_#6&81udoIVruO|0rp>5I^X*DB9nES{Kw2{?!UK780oe-YsW
zOXSpro4sF5pKh!N=C4R5m9lyJj#qOSUCFSGHS=XIsKSf{z-KAM>|B&v9w(ec1#<$&
zV_Slgy94{O30E8h8~V(lCg_BFK;Wmg+(FJx9Ndi89NJrUePOZ~
z#;;z059ZE|t@t&b@wRRMc=+)R{#Tm@TXd{{oVgdZg+#STr{nryI&e>wi
z?9~Frr-KgsZJJ*~3|~$cI^5aeIMXkD1)X$9guQd`I%B|#7LFmH9F`bKcn{3oN7Kq^
zCvDS5i}~w<0-w#F9)?D;-(3CgMEV;fc1Y+0p8_d+D~%hDm$!U@R^0o}BCw|~u}Aa)
zoDG;we;!ZZg!9F9lRS*XzkYBCq1q@Ntyq0Zq$YV(mXE&v^hpWa#BLz1oZ>Cdq(sKk
z(W$E41avnIB5g~?^FhnNy+9eq`n{GzL-kMbh}Um&<~a4>zqrN-?G(ycU*u>Cy1GwR
zsvy6UqyaNf>~fz;nNy@`Q6RhRA@qW6O=Kb56O`|US*`l}D#SqRNLre3JiyctzMtyN9UTJER
z9X;hN8p4jIux>yvpc}=VM&+6`H)F
zk-Vijy3L9BL`XFiMT{hqk2_!%{$QyNO_FWStWrz&XNoha@}haQ##d$&1If&p9ILOB
zwXU~q7bd-satG(MCl!qgxGO3SF}_1C;f&SkH$JgG2NPSa?LWitYS@eMT&`o4JytRD*(V)QMUxr3^wkF
zs+{}H>hYzE?mE*pzR
zG4w8*rNKtI5jm3b<6grV1VjzXTY;yzYa{ex$V$+gh$dN=@V1lzb{|VhO-wO@Jm=<$
zg2@cjcg)>vtu0PL+CL|J|I8%I&{@hmO|6~`b+lY
z_GinK7#19hapsc66U%0i0K_HEjEk9y<6Qm0Mb;BQ{*)z!e-Jdt+Umu+ubRGpPzd0OJyR2aD$S||A
zLT}(0zkkWH{<St$emz2lipY5OSi+zf~wW
zuro^;7Btp@;&;tBUd)5JT=-`H@>t3Fp`7b&%8il2%K%WuiEsgk?#{ZO09^|H?p71!
z{%i_A7`W%e+g9|lp`h!bw7wg#K|+6hwf=r4|F-*3SoVu@w=ICgfku44
z`Fe05$JeUhm74aGsD{@ccuKaPW`?fj`jg%FU`bz6ZA$cSJQm{OLkN^)-G9s)1pz9A
z5WG{wroNHza;<{o8n(0Kt!)L8`A3ulVhZEfOqVXLuZuvlC6k=D*p5Lv+@)|^Y&Pi??(h`A8nUPuyL`S>v`rJWk0MM
zg&=EB5x-MzOdAgIAj(;i|LH)Qv%m^4Am?lH{gyF*`U}m1WHpUbB&n2})vW?E$r6Yw
zDu)n_C1?l}Q3yAO<;Gj|@z24z?4t#ZLWv
z@?OP1qd1hHY0X+j-i%Rm|M(8n5{gt{8#ff4HUlZPbYC-vJONHM2>
zG7;BbD(f(?>k>h2DW*0Upm&%tJ^^z%_9Puw2^IKQl`v{8hnjSV%hCm1gubFP*N10>
zFNBKw@!+X2N$%SSHeCcV$3MgQi2D{o)E4}OsX$MFvO3j=bk2M%$YEWT&BAY=7xUr0
zqsw2R{qhO17j%B-)ns{pk~ZRsH{Fy2&M1F_Q!CS)X(6ON(#>PAQVGEjvmdURe9V{f
zMwfCTCDF(_Wj`=Mmf;bQ=uyqLpjt*!nG5aB&z!b?##g@{ujZ@#d7C4VOMgPChmdHB$)4W|;v<{a@fx6jTh+?IePx$#OK!6QF~gxMvRwi~PIz{+~GF
zN5qz@Vt^zTsx@jU0k=**dv$ABR*H`w0e^P!&0bhrOjH3Da8%D`?gz-L
zU#_1-O(~uW^!3H9wA-3Rmrn(yghrdewaJ38cCOW$A54pwSf6VJv|7b(G|;_O-F%`*l+f3hUZ+<`?$#3zYjmhg4%o(r8vm
zZ1TL*PkH(R2~U=498+)xi%UJ5YJPR^sWZ;(2iHgEO38D54HPaqMM&{7msp&7L8*6+?eB#n;o(01cMHBUCq2cN@-@
zasM|K*V`Yvv+F9`AoZDo_;Nqsmx8IOpN;-+iBnUOh$~xs^YXH1^g7+*+)gZipE@|j
z(w~m_0VBo(Kny^%|ChiX*5)#y;sqa!4g4_97rXfI%9w{k+Odx0N3cBKsm(Bm^33Vn
zSdxM%q)rm`1)hCDUS-#a#q%wNgF+%vlZ7(>Z1cKK6=pA=xa`?{Z2%}LU=Uhtbq7mK
zhTp3I9g3TeQ8-wmGY}>;9v}pz1;WGe!epxzU`F{!Y_3QKwCDWpv$$o6P35E(?}
z{;9mXPE%wY?jJ7&okEM2=-v(atM&cBUV!I?qTd7)5RKqKwcLY`Idu5iwD!b`ma@t#
zUoGwI%i@xL`Qr=R*2_y!l62^Cw)5uB4W{QxV?BKCTw$eYRyqv
ze7=YXo|A5ifzqX{ZS{F_n(dw~Uv?(sr<(c53`*5lr@k}f$T6RD(g&wv((u~E&d4
zeiyk!?sv&ONwS&yC4?m88o7m3Lbc8PQZ7kI<(4RwB&qcEbAEroKIiP5_j!L_pV#a8
zdOTnjD4s7~gMJ-0rtFf-Dp^QshDvuoX0%Uyc{md$i%(A8FsBMZ;4+K}GB>_>kwpR>
zZTfEL|4_qkN;r)$a)@^SR@c(U>G`3t+b#`1DY(`Bu8TGRAQki8ht2_TKJ
zK`6`nXZ!`F`&)EBVm0SfBM?z&;cs=hr!~)l5`|9T@TpijXsbcic)xzC)^VFOh>6EY
zkBXle!!G-JxT;sNU)7dr1J=4leY0F&U1KJ2kQ1kAX&2BbB0*FUhiJ-`g9lVlF&G`|~Ud)5dV
z3WP3Y(M>#~{}~M5%}r!jLe`Ox^tXmxLZZ5fo>0|UiYITO$bb4O2|Isr(4*d`JZovt
z=?o+JfeA$aAuN0p49M+i+%JSm!y9i6wH>S0f41%^P!Yx{K_>~R`HUaS{o!GuAk3E0
z2$#`Wv2LrX;*zA&ahqvI)EUhbi$yl(VXnbn*{TxDKCsNETV`HWh~(>+1OWY6D1cDU
zAnW6`Y@K+*TCZ!%u%+z`og9%I@+Nd$i}Q2oUiP7gya3)6Woh{$%o>yTcI+1o?(Zc>
zLV*VQ#L`uVbvpW8QQ3);cVr8Gtl&&mTXea{kcT0M
z1b|CbUG=D@XZ0Vx2vYV^Iv#lei&5iShN=&@3vae9BM*D7lKNzX)bB=4ce!IhN0b-hfkXQUgRDVNMs)G8-j?>EZa@1eSs!<8>*?yO@V#r?T%
zxBT$wuA4|!Eaq<~ikdX2jKu;^%C4wSmb;OKT4uLd(k&iNXtE+mzIrql{0;GhIZ
z#?staN_RJqs2Z=%EsISlJjkM5a9Ep1q2E91SCI{J?_hEOS+Bi=`NF879sRahbWAmo
zS5;+{kM5*x8n*}PnXh
zm{Y0^jSm4s_WkA(;a^}V0XAuQvKSTte~$|OPM;y-dGjCiqTXTFnksbrI|{KjORn#S
z(d4J?PpxkoOGxVPEk$vPs*yF?K_?It!8%<-*%3H!3U|5I*oy8*w8uOeom-&2GViJ341ogcP*`K|Ef0kNzw&=DnL$zE-zZ||9W;J04x}Sz@(Pf;BB1P$;Oiz7H@d^
zaN1TpA*~o~X8OyIYnIqM9;33ImtSdg4R^iE`gY+3W9GOqELbI)bLJd5d;cM)-2B7^
zkM4Awk7sWF_v`2Bhx<@2Ofm5bqR6y97Up`^P!UXHoy@p%(VYbrR8bN{km%*d{oY-?E%B0_ds~$O
zg2Ttuh2D|!&BD^|ax7gmSSA^zPY=nT9!iqf3d={l_7YA?1O%;QIbXPd;Eqsw_+3e9
zr7(RNrIZtY9##F=LDrD(zwxbofiMLosthU{1;wHKKntbc9n<@%XCOGF%w
zH<;^g=g9U9{&+jdFH~(`Zp&3hGug1X^)}bG#d=4UB-sKHY~l0h
z!TZ`z5|qF`S`yiB3y_^4QN)Uxh68o$y?I~mc`Ac|1G_kzP@_z)W39ZT2b{7^{CStD
zP|wrFvj&r%5=Q;H175xXIeiPu(R+B`F&N-sOGdD99&8+NfFt+7vEN^}b+D2PZ3p{J
zse2$?X^N~Fq@GwltL`dXG5%+IVyu*fi}0q#t_XoL_522ujIxfoa32pcY-{Ql4xOvu
zo2MeA3N8Ck5DW>Nc;6Hv)M<1_5F+lu^0`DIH-J8QvcscH#2D{+1z$IzX@=)kGtWyK
z4=hR!^#%RhdtkC9MV_Y$tASM+OF&~38&2)_GO*0DUPOz{WCe+%#USP
zs+<{6wv+aouCgZLZKtdix6O=C8vej@AAt-BS+EpP?oO4w5-6if6EyKf_;Ef65Sy(Y
zV8CMp5e{S7X+!^3^pQ(xUQsM03Dk_R<&Zt-)4pT<+cwz{jaPah6Era7_J;~FqpEr2
zig(aStm;`&*il27!dR+t0PSfXOSP4*3E|KfrW3;sttH~-m0YH-QpM^+kD46c-Q{A}
zSo_q>{yv`~NLY%m^}A=o?`qTs8G!0)-1eey5)C2t1J&ZIE64v(H1{aVymb9@bV+Qs
zXB_q9Hc32dxgA6j4NTG`79A;O*~11WNkxg@lSNtuoD!2Ghyz;Z#-@k`(V*;Fdo824Fz;c1UMM=)z^Tqy0^T!hOVu@InX4_
z#?q6sSmGu$u}-f1c42aSev#5f6s69Lv0?3V+D#$DHE82T?8nmu&M$m6GEH1^buBIG
zlN0oZ=~*CL$A+oTJQ4DOe4eb1I@IzxodkpP-U(vIXdJ#J5@TfHdfFMcjMfyEAW;a9
zOP6c{A$G?d3s8}}&e>{N<~BhVjO%!ZfE&Ooo1jn6-Q*(stk3_>NLw4VJNC{%<4`6*
zMp7|kCzzTLL-Mfy$+Jkd*iJuTMCBpcWxw6#=o?u<$IW`2-6kFH6)0LDV6^A7
zpk$e(T+UBVs(;1P%LJ)M;rs~^ed^_Xm=FM}Z=I9J3DnE?`JFY&nit0OVKrIHi>XNG
zV2jO>TC0%{xgqqhAZo>?Dbq#1EhKs~H-^_SD2;_>q?G%z_~%gDmcYpN2O+9U5*=7N6c`3TVm?n5{pz?}J_;TKb%yc?zA2IPA|f
zTV@?JQuhRL4jZ-v->ao8@k0{%Z0braHEgS?y!eeZQxIPC(G+@PUmYZ%M*I5Hkbq_J
zJqKacXgj5jL3(|n`n(;pym-sd+H)#5!(sJ7EipdzRzBHJ0i&@$y
zQ~h)B&xw9ZndQx)Nl`3W+PSm`7I6uZvXCs~gd%_|))``>{u`gxgG@*qS+PC93ml5~
z9?;N<k81NLAAd0Z8Sd5JXnWBtE&7cssKPW{1(e=UcKJv&l!Jjpw5w
z@dHv!z=C`jmm=oNPQ3JLlE2M4?4;j7-AP0@nB1g&iKc$j2tG(Yt|~b6B2Ckn^G-b(
zJ4C|-u)Jw+Ri?qRu3+M3T8i_Kat{FRpvveusZ(A5YH_;QLdhh^Z&;w=EDM7z6sj@t
zHR6=7zNv9`per^^Uo~Zm8QE`QV-~P|V#OCbmM8{JBqR^=gitS8Kw{H9iCHW$Kn?3!
zoFtlrWzzoU5zQbdvIkhA0=z?|7C4lLjTK1tFv&!t6ON6hA|En5xnJDeF;(TVs*f6P
z4X5Bn%>DaU93W5x6BNSaTS$bbF}Zq#B!;+{O#yB4^b;8%A&5Mn4<_$K0LDpCk}3h@#}
zwb60afQI6=t@TO3m(lmwoQ1(qd>x$?;2cqeizI)77X|i9^gCgy7hq9D>
z<%nCTYR{SV6EA2Y`%y3BQ2^He=jznm{gUPSlsqdG_2|T7oAuQ#4{$_gw^8q?tSvIb>De~)kTwi^m6PPj;ap`J#p6#e{
z2#D*;H4zf|Ti7?pVy)`fk5^vn*q(uCdJnD?nvpFqc{9bXn(cc{IY;*C>L$H*aXL<&
zx8YK)oqBtGbqr!FJqeT~;Yt^FJ^&xtB1?=(`>Dtu6@HX@Jh_0^+eD5KCeJ!Z=Ort`O++!v
z{!oNWeR=(e{+Igy4lN1RjVP)t5vGLmq3ZWiHECH-nWfq+9suNnrlJ^=jgiVPmUME6
zH&LyLDVK73f`iX}Gw
zOWdPKzq8q$(^|rPizn<3uLCE238d37&w$a|PO)s-R|YcL_swTt72J6asQ_s{UogH{nrB1#v#|Fae_z7=~|_R(c#
z!739Pl=6cVWUM5amwoK)T1LFQH|puq;4<_S_q1{UCkuTtDhW4DTd&W{%2_H}qATvq
zUNWYB74ADMU1ZWg@$ch5{YYJ}>S(-i@>W?wtNx*hhK`E_i>J}BhvA7*b`c94KH*Mw
z;`s+FQ7T}`EYgj)$fw1=p{?bV?fAFFpKf1B`Q?(LiQW(deY1Pa`i1&l;%r{Obf3(5Ho&g*E;
z85PIr`rnmFA6Sn(ZoAI(+>G=ezpZuDZ%=54Z7JZ4cSRb>vN1P>zOr`i^HRJlUCTW)
zb7ekj>g%V?GXDk!UU$fnb9}lGn=fZgq_=34Jw_GSKWH#rAGEeio}}B27G1
zV`m&)20VCYg_b!IwXnwwNShW_W_;4TcYE*nW#n=4YqQfVvb9IdmGIOEe*85*kr#8`HpZKN$f7pHL%gbM;fz4RE2f
zR?0P7BhLU~@@%3RRcjMU6*#^MBpQjEuBK@+a<`IXfg1S%gzhE>Zt^ZEWT~hO2=m3e
z1O*~1iG;tjQ*xy^I(K8ult#5&ZsrgPT8(sgLEJ+}(_vul7c%egX
zMdsE*^xVG;a|ScM5bt~)*_J&6)caPt#ptv9G$%$GLT360frfZ3jUAJ|zakoUsbw84vZ{FoKRFLzJ0zQZJ~cRSuNAE@&hW^Q?w>oe=}F6(i$;E
zMZVDrBq}RiN*H23eYX1d+e+Relkm1E6~3M1)&uj+FDa#>(s<`Pi#?pc!!2~tk#J3U
z^~dqnLr-h!n1+M*kjD(8Q|Nyn7xzRoY7oiVON_!!xAqWbEWS!71)+M0v&T*-V-fpN
znn6hAdEPLsk*dCq$G5hfPKit9wzXIi;!?Cwh4*SO_6?@aOBM
zY+N!C0-_R&4Mbird-vz~4^caYs&Pwtz!;z4(@$yZCpD4ZOc?RLtFKj>3^Up5pQ8>3
z)|9CF+&bShzDgk*;W$#(?^qKVo2Y|TDP#dN1qA}=kkFI-(*njO7_ZQHzBX;t(X_
zw>1_1xL>4#c}sekFaK4CUqnLyQ~GPjEs4n-^Ne1|VGf^ndW4bV6VBtf;Duo5R(Aj^
zjO0$d%!P_tgYt`NUv@%sGRzDlK6r5*j#*%oqavHKGa3FOV{wTVLl}4jXL2h87GWbr
zNkDKF0qZ3aKiB<%y+aF`;PtZxX<|7O$(Mu3y!s-&xR|A^>bYf3@8aIjc21EL1VzBo
zhC={vr@+#`sTnt>Z;y=OA};NrzkgKqQaQavwx}ldS?Q-gvdJZQGVp
z*o5%3Fdd{6Dlxua`sKm_w@E}u1bTYIfBPD6k-0#ip9D6TDI1hO$_T5fIPDBYvgEi6
z)O`e6O)Z?>OmGz?XyGY@DRd>Z>_cJU{jxIWlecQ|t_TB+`xB6yZ84%5?q8EVHvAWC$T4>1#HOFn*G?V6S=858dRNN*+7;7q<~UrsGyOx{jKU
z;?nY}&r&%6@jcNQ+_EAicF3rLudK>S6AA2`w)KZn41FMgD+tim&@+fQdkY~cZ3Oq~
zln1EO2b^|By~5^t9NF;g0
zg#Yb_8FW-PGHkNoKzE*EdJUH{K;m~vlN4Yani)1PavABW_#qibp#nFDoFlk^VpjI;
zp5~rbdlRj-hep6oVro0J%`-iYvYWvW;0xs=?pAP54T}Jh6O{7&fZIxJKjCVC!Hro2
zDLHYH*5*YcyPSPae7mVJrB(Rjmnj?
z`m?0@Zi#VZ72%a@{$jKSxMJDqE*;&6ID^wksR{UE@}?{x@^P=y!A#_-bO};T%3=M9
zIJWc^+kxZM(|kEOpWgfC-5u6EmlQr+_osN24gI#PG{zVWBd)D+X#|v?jv~e>y9hs4
zw^%BTgLYdY*f0S%)*1Wjwo>C@xBQOzuMh66E{0sqKj$M%wOr((5Ouv9lEwSNuzgwo
zn4G{+GWuCD*X#2jm@;Hu^HDN1XJL`CIrtDoSE8y<<~9Q8
z{P`Y`BQ||s@Sa*@}a3BRV;*8F`UOB$I8|!TVTdm4h5nPt(-pzLY`a_
z8cGudNEnPKKQ9QcG){0G!|#$(rw91j$N4HoRCfA>4~PNubBXl`ipqWkVwHq^u?SXL
zp1lM3vxS5*2K3d
zz7+;yiso4C7ZZw7q~GiFdXyv@NOB_6Sdlw2LLd*gzC1r;=>1Hvln;9byDWt849y^*
z(Dd$|KBI?URb9UFy0T4#lGXo12zaVX@vfRbWGL3G>NQmSH=-c6ze%xC&H)nnaxLdN
z4C?|sQ5tweQ!S>rO_cSGQ$MhxzB%VW=`gCnC=l~{Kot}uf*JrBe2h2ViC%NA%H-=7
z+FM;hkq)gjSDX;cu*wQWuthVz)GP*k84E@o(t(R?g;)YWkr$ueDsL{%Mw^UEsN|6F
z`oK=x95KSLK?O;k_^Kut5vt%Pf7@h8Swyx2*pzssE`1}wEu>!xV@R;?ySkY97U6}W
zr&|&P_q`%cz%>H>#uhZmX+j!=RwMrHy7dqi5kU#Y`VnL_;w|Jqq``g9QTU2Tu>AT~
zE;C;H_G&L9>9%ds70a%7
zJ;WHbKoU%V3A|hTb>Nh~Ig6Vd`fAE%!lf6v?7%&`iec^T>Z1)e5mhcwP!-@UJT!G=
zatdX1EsdCx#_x-#g4{)_B2+-ghaNn8Bp&UG%0qweLlO_22Y=_90z2<1g3VE~$c6Z!
zPMXRivbp0E^NAaHp#WWpAG+2A$w9gk6a=HM@zL3$qjv6GAlM#>h-3@>XQ0xP^c@Ah
zsF3q}s)FMNQ>|1JgfkUMCM%Ok;$Z;EL&TlMl>BELRO6;h);8YF-Q({k@u&rjyX
zy|j+SA=VN*fqbR9qj)fg(`2J1mMH)+!&5!mLRpv)vWmkB0hGwkI5c3VUZ!N0*qIBW
z@Wg{qT4x0bcBc`Vg(SF6bN~0U1lybbDa;Kbts%DY5OdyBx{6Qj<9QN9*Jw#@C)qML
z941fBt_daFy?_@Zi+33DgU0Y9Ow64_!1?$i$!0UO7eVSMA{GblBC+Zlq5d7!jI3jw
zj01Q8$(F9=g2cb`_yc(E=L;fi09Y~3ijBlGQRg63l)|-#Sff^`Mkof1ajoQxQ^cE?
z@KwPSr#*D4)HJM7fK`r0x~k;~v}WSwC6hk&cg+pC`n$>!QI4p!Gt`ZR$U
z16$!`Onnx<1TWIFQivnesdyGDR86JOT>y^HBAMf^JBBw3-EdT0!74Y=`mZ6X&*qJZ
zp1s$*&J*PC2s1R^=PMt^{m(qcpY;IkD0qDWyivJYc&KMXmVw@J1L5~S&HQ}t#~AHu
z5_rt=-R56-AuZrFly?XM(#726HS{=|4tsY;m_!TFeIPY`2%WAHCVe|1zAP8VN}A>n
zJ#LS;*Ov16U^FQcHerv~oKd9idJV&^kkY$c_Bsg4;YwmTg8l#i1atH8)4*9IMN{6|
zIlx9eSvD9!!0r;y#^cZKEpnq$U0+KPjcEKP0Vg&9*Vsg_1K}!o#;&xDOjub=*r9hP
z#ow)!Bk1RSr3(z-Gi&D2a6pK51qbHu=@sdD#VM>+C*)-+0rq7Uy8ctbhk>l~W#KbG
z^i3P7rcLSkq;pW67)9_gpOg!xNfoY@m~xu`Rf=H8uIiy`oEe35V#QRc#X`x3|3Oo!
zvVz7N9>mi025y00rPnj?Ps9_Eliq5{cp>q9i*|xl
z+$tAkt*Qy@z~`Zg)Qv@<9YFpQfJ9U5EVvI3JSddOYs7_j0ts}I$%6Es(j)Mv%zzU~
z=I@fv>FvGMjExEZUb2kio2h_>E-96Pls|CbB_H5rg;4C5Li)zCOdUKy1g}|u&Jw`~
zusqJdPy`HKw>EchD{!0BlWan)NvvOdX*6*S?@}%8tgKjpIjXSX2Kklw_KSk*GHJ%q
zf&P)#CWTw6(qufJ2~~2}?1&Vlr=sQkk!g4--=nIrq`m$9;gdng^!l;mmZQ92{07_|ztB;g;
zSr?Br!ps8vRV1{rx55+-9*RStSdLKv0*NJf*HrgC3Yq}sDGnViuDQ>^qVV>r
zv@l&cgTZ%D&$d%wUx{1Rvh}#iNx)Z>;5AbDN{_{xFY7HtNon*pD1zJX#Tj+uvUCih
z(O!#?A1>Rzg`!nz?Y^O7T?Gs4R@;Wzn-yhILqFDy@zjta$ir{?EOBKD|Io^Gc=YY`c>{t1e{bF}8a
zgIUUx-yRli-T_GPe%c|+Y7suck6*Upg~Ao28x-$wRGlEC#}wQ$fiq7yFb63YtMOut
z=#f6{1{B48ha`|=JKuUFFfo7y1Gba1rb0b96q=?bz6Zr>(t3ULmv
zK`Vg}A(fjwL_|O#%3)3=z_XC_*D)E~9Ukc1$>crrl|TRiITh;5ukk3ddzI(mjj%yj
z=D~{Ln|ghI+ccbFUw`u|6ZB8_dC}1veY?F1{&ITiHWjHE6=l8wJ_zDH0JBuWa`5ap
ze6hMGvP#&8X5)R#wT2`dtc@>WHzxF_htgn=$yT=Jk?&g^av#L|*^eC6o;`3wL
z@-4?ISM2*l#9qHkn9BT5K0GvQNz~C_PZPiDahK~MKHx8*mJ4IRM-$xE&;rRKF9a6b?HD+Q2<_fJgGi6K!h;;
z7w-cSNFcY6ySfFv_!APTCv|J<6a!i3X7*n48{9n8jX2!ht$Qmi)*f8=cy#K-{1H7j
zye6yYp8wsQeLMgH=W_78^FS)3ir&Fvl#0V8s?;8m;Kd}Fl~rfE`2>IM?d03e8-IO7
z=t7<9!SZC6B$i0|H5>LyKNRnS@t_Po!OU9;F`1hm;*{XI6gb;Q*QvG>JNiOv_bG
zei~3)K%dS)1O7qBuE4b#rtbpz(()87MOLF>m)9$}cGGN|&uGbsOzr0R2O)1{AsoV4
zBI*`t`xBFd>%;i~5nm;Jw5svx0|4Qbgb<-nc+&+JbTwB@-Q&vVJ=klRDCsIqnFT5$
z-QF^#LV*A^v%apVc?CRC?Vl@oERJF!SdH>5QZh$wNAX~pjt`xl#PH?lKi>W@cI)01
z@Y~<>+TlO|9(?OzxqK9_P}TLLA2%3}tR@?xKNXcr0ma4gK3Rms6XgM~7GgC{vGU;P
zOCDen#*t(Tr3?TS=|_wwAcaE4ym0#2pj189Ksoda%Mkw`~To!Z`@&Gk8pEo4no
zy)qP9hP*OWa(+_L4m~1gL_BSvfMBRi6_k*%NjBy&*#at1UeeN|GSw4axpLK68c-mz
zROlwL*i(>iE^0$}F`=4>I&827@1fa3mh_M)W1|
zw18Tvc4vm_Z7@KV-04H}6syX?bOIV!lW%1vZ?Eyf1W{Qi>$4u(<4`jp85uBXPhkx$
zOUFIX*UM1tThx&yCp}o6z5vM{c5H&*Wd+j?Ginw`Ay@2p?LE^z%mw@8f|w}f5E4V=
zyv1Lx(^_{cZG7{M9vuWedY8b{a@HC^RNq-j_-=@D3ppf%Gdh?hlmw!k`IB{!+K9*-
zklH{wWJ8dL(t_0#^2h)NgaJ8rzS`AbYTkel=HvsULm#!e@wE4BWwW?dCkW{9es0SR
zyz(6N!nlcug^sE`xOo^MTHwZc%{%cfw{e4U&bv7&HkoLtJvxlwJpu#S_62goWLU-W0YOa
zk!U^uQ7=6};H`jGLmX6S`oS47H(pU=gUJR2p3zg;D`?U|g9v#sKm&`QKiToyBdX)^
z&dFylr{rCZSYSLXVTKRn>iY1`&VeRUF{0_L#cRTJE}`1w^c
zf__0(tywJ-sOiqwli{F-vp-b+k9NOsAs76-
z3s5haSe3b;$Kh74)>&v<&l5&Y6VY$u0d~On=GuFZnh;aO
zqF7<~RQt{64h{sU42cFk`z4Uq%r*nXB(W4rFC_gR?QT-77SEzYb8t|)wm9JjbL+f)
zifH>y4sEB>D)b2m@E1zR3<38vD6O(&sMCJ~_skXxd
zw_8VzGSh}Ff+DUHU2cxFc+{)v%A~Yb^uMz3Iz?aYI~hrW4k@&!#>mu&+*UK9qN)*+
z02ruX`ub=`v~kQZVhdK-p0cb7)d%`jt|4Y&R%(7+$NpA#^q
zc?3}Ni2{gx^59*bVq8sONh|06+ONE8_8TEEQ90n8T6H)6L;l2O-Km4Qu|QizMe9aR
z>=%wqw^+JBq!R~uJ~u_XA_NZ)q+2A|W@~{K{nJ5!WSSTAuG-Q8&l68Drd~<<-Y6G#QAUi6!&3V0q*KHYJ
z?b8vXg(LjMHoXGS%=zht7(;cLA_x^~K?4QtLHd;snBx$R~B&JN@+H5EWIKCah+4VGWKy`Bf?*GaQ
z%WsSbqbJ*l=FElb^7=e6lnWEz{2mcHflB!5fG?>Cf9GoMO>`Qvxn8!O)9B&zuy|D2
z71n;kebPqJHK
zxICjS%klb6)_iL#f3Bl*%0`KOs*?GfOsAP;NP8B~c(6RX{nqp0$jhVb=a20(??lTg
zrgFYKdi+}&N=WHJ0RBy((5`c*(ASQ7@wX*Z?RJ^ypu^78Y;gF+ACL^fG0{3#**ij~4fa9f}VAQ%>=pm{6$dnyQp6syo`fG4n;^HQFnh
z9(7E4w^m75x#iQ%t5=c+PwJj+eYz{$Cf;aw?KsyP{)^q8ujoy0{(N`C|Hm^PNd+-S
z^Cj-v^LeM>iqXdUK^MNp7IjJJiKtTENnQIrW^jG7=;B=GUh{91+exKr7JXv`c*yFH;=t@SR8&#v0XMd8U0e<5%LzPSd49-_MRAR3{a!Sj{!#hTY+XaUKxy6GWpmjl~^RVn@}RcV*=pv#jFhaKKyuaAx|Vtcv_z6$;(}pnroL*IGZ7UCidQJ
z{JHf=hQs-gHUs0_^k;jStf6opP$-m@I=-5DbNkX*TK0211mX!XO2oW_0zw}xRE-c-
z)2^#dNL5)*$zqIPTV!E`&hVu8;;aUxH5)YRdVG;!8S9?|HR=vez2}?O8I$2tnF*~6
zYbuVuU!1MD9VD<}SSFmov`u<7|DPU3d7Ltm+v$9EKsx0CVPOa@sr&So$bvq7NhxnboGE@DL_Vjj|&tZVk^?gL9Gsb4W?iP=&*g+A(1jP0Vt
zAHmuiE|Z2Ta>6*LhbX<_%)d8sA3A3F<1c%g7QOmFS0N%5=ZdWH2^qfwz6^vWY!sDD
z#l6+I0(+c(aw9RoG(Y*SgBbvrEoMIkl|XC_zjtDmb>%7ogRQx+EqBpeT2Z37b}>gIas=FD!;jr?1A
zlpql~shf|BPcK~?a4w47rPF@LQ0p^noH4PN0$YS{$O-3Od|aSJNy~VYvz@?~@$-U9@6s
zuEJR+A>emJiJsHMT-ozsj9^KHk}g(K0ge1!DJ*?qM^8%RR~f)rcDk}$0a}Sv$macc
zd&9U`J;R-`ecMo>%qp)&*|cKz(d|*ea;jOZ0bE`!gP_u2cY_}Bf>ta7Mb}|!?Ydkb
z83}ORikF?0@Qhk-P@@
zO{7tkc*bq7z}l;ybZE!&{|(kEq3ap*#lgq&K^JQ>&CpkW-U<6u?{Ozry1~~RULXpQ
zI58X+;esg{Zm1ADXb|10aVFmx$t%b*YPiKH49aV4?LzaKq5DM}pHJ831}5_kN2g|B
zJ9V0pw0s_Sm0vSOUzm+DhBrSi2|AK;R|A&%W;p6rSMzL%K0Bk1JE+lVePzEf#>iY6sqDCX^xcqKc>qvORwe>Py$F@@=4Vv_b$89z8%NNDo=J%4<(k-gM@hsTI5
z(w%j-8!&%x?r-Dm%x<5#HrmB*Yg%J2#Ye!!|GfH*&5|fOfxn$(T-
z#|@ip4hYw0K-iNpJnJytG~RYkfl^^3>X+?TbFTiuB86=g{!FF`E!WfJ`zEpLa(Ih*
zI%fUCS*PlM$JsirZ2bi+sfiuM-3`OHE!aIUIE!pUsCgSd^1R!t-_0If>Qj3|{H$H@
zzOe!=-fu(ee@5tXUFd(y?jy$EJCf>f#1(l4TOrAN*ZwLn7PWpg&&hDh!1m9LeGLEZ7wW@FO}E|hhTKa{Q;&C+We!@m4M4y1giPqEfQPc;
zhP7D3#aRc>M!7C!EOe=#?)40}YD22I<~FxvVXekO+V?LU@Yp0Y^*D@-j;xF}@I>6W
zd?#4ZiAq9Dls9LEqyBSk=u5OTW2fg@H>5O|Ej=#cys)7P09<6yk4*0
z)@C-)w^;PoA32MIO<9j$Scbe9-ozZo^|_Uf!@r{sN*xHi=t~o3Kx<^#980xp(Un&g=4QTKX%oG_)R?jXphuE2#S-C)~!r$sDwavFZS4^Xy15=)2PZ(DNZ4t8XIKQ
zmO&mAlQlRd{Q454Y>L=ErSAAh%m=c)kJ@}`W({!4J}=hi%M^V3QaR#$_}ez(>o;OApD|xU1(96YS7^iCpWoj8q91hQ
z-@)zIkD5zUyUw#F^DGe?tK9GED+waHEa9+8(Bgk50+}~vT|dRAlvG}L)DTj+X!#ok
zFcmGXCu#zJ4W4IDSE+ORQ)Jr~sgqfP>2F=4K~dDei$uIr+0^!mS01b7-AMVa%D!
z=&w5K=P@S{t30iM^VcZm;Brgz+Jx@A0M^1i4sK@AmRw
zu!=dq*%X&8`&l@4h&S$O%{%3tJ?q5H0Mvfs$riNJmycKPJ_|9;y1P(!3bWpM4td;z
z<5L;7quG?_V_n3F$a=*<|98GaEeN-yS0TKBaclnK+RB=;JT_B*DknP`yE=r2ybXZ-
za=OeD_sp~SW4X!;$&&dt9Q<8C=h{0u@T@K5+&x&{63c8$>DHF(bGl5zOFfC6!y!RH
z`1@UnuLVl?-c@}qZ08Uk-yB<6gr7(Mj2{FmP5g?FJ?YWvFQ|6PW8!Y~*7Hyfu4^yC
z|NB0IgcwiE#|QcEo{Jqgk5L(v{8#4Q?)o7t6ac~iGXX%bf_9$!3*;Ba`R30GRtN3*
zMhn{JkEzdMm`#9C7#PX|w7)TI-hUPK-`b0IG1$WK4F7Z=Tr&>)0OammO$+fC7}(P)
z+$g!SS-$Ju1cXZlL2RMw2#y2<2PbJ)iRY7!Dl*|7Mguno1qu8V|M6TC5%?g@_7sLD
z0Pt?1xLX19do+owzpFCImCX)#oq5&X-(Iv2&dfa4m?vd*?pL
z80{g{-TNEsj)5PJOUZwsZF_>nf3GwUlFuc`Cy={OVLYu7-vNQ2xre_6`99m);CuTs1fkVIU0l&1<#3Gpi
zL#ym8^&YNw3(8p4I881aW{GMkV7ECEbF=Y=W+CfgHB1g3s}`TRsSoCP$Hm}Eu=|Um
zw|M>6R_9)Rv`$9Q__ds_uiMs`7P>446+k-RB;B5G7rE^T$tEb6lTbtc)L|z_1FNkak0z~XH
z&BoYm-!Z-H7t%ewM($%-JfGg)n%fz|874y1!MLHoOl?H(9k{j;NJ`+WpahZ=C}3gfwYPGFJq2xmJ$0)~*1p3Y~e__$>!KaybzmC{8CN>^mceU$0q7f*3)Ty)fTSdM!bR@O{9YWpFrlAF7Gh@W)!Mj
zeVo+&t)Wv1+g|nL#Yi4W;IQy*ddoZ308K3@)gY#o#%n13bIFJ>*SHclI>hrND(v2S
z1pJ4dvM}AG6MaGHhgES^Lw=VSEz^eG(t?bVJvJQt4Zmkrjj%QnKap;Y7bv^HX1t41
zd9ggx{?gW}Ff(Wj%ppV6wKI2{9Jfp2KsQ->|LJ&TaZ8kHY+&-b{PH(j!4qlP^W2e~3
z2s%xHb=T-F$zS_-aV5*FVM;&sKl}QLinuqQbZnml1=wcVa54>3x>j>KJjGj1d*?)|
znBTcp)@W+yE1n@x^>s(+&k}=iAMVGv^FY@L_PF`9e}l8a_Q_I3Le!IYAv?5HI{S!J-?UlY7}HG{pP)EZH;sPkQn`1&JRs#r@mk4~gN|=@#j4&Q#NPQnK`&wF
zHIdPAD;|ztw?1DGef2}_3Gy}eZF4Q<8u_~a)33p{?k9<9a>Z7ZAdTj?`#<}{4;B>G
zYM!89D&)t0spzVWl89Lh_IbO+l=~l9cm56a8~+XbJ*&ZBhQZj!zRRA9nqlnQ*msRJ
zNg5>~)vSyyyAU;mYzZMrGJ_(@Af=*^N~J=ZwvX@J-{0>0{sZ1;X3m*&o$I>Zujlgt
z{>^_`WBBq^WwFG6X_v}{=6^BPuNB7N@9<31I0{GOQ`d&?`lRpqXSe?=b6mEIviU;0
z=@@xUdA)COCK(>`^B(YLyP;+P(B8;uB&=APP+xFQizC{_lqTJUw
z--!eYuVn7kh}=PEt=IwxhC~TU$O;-k)Nv@%=EXs+);q;8E?&7I3r?ocVz%Yvic$$y
zP4;2xJ*I}OH28fcZY1LTscv-siTc-~3LxRIHZ;({x7V>kP#qq76^0@;2$xcMw&LDJ
zxus5s8)Ht=jW}3geZAZv%D5boXjusz`uF+%sAMU*xa^x?iAaUZ3;|U$d9fH22Y?}c
zE+U9;!5!mZXT=e8b00(fGcH?t2=JSdb^5sv?$nUBsNN19
zNP%NgWk`S%o#J{-Z|EXnNPE8$O$;!mqnmZI)IVoWp%HWmv~dmICfLF$nv8?_j+>yV
zw9LJAiUNny(l;mnOyLcQGbEN?@}^g{|55Zg#W52(4z*><0-6z
zN6m-pky;Qow0UITIr*u5#&r_s0sNjH5uSCQhpWG0#y($4_dmK=iWBi|+HE3WFvKmI
zf3FX_e0i1?MFp;%wwF;+h@dr!+d+ilK6)x}{4ySWuhn04wEIKK2}MMeXEY>KcKyoS
zWktrRr)pa+ewYuycS{rx!7VjZePzf?NPm7pOxSHro;+|-AhQ@IRZ8w0Gor#m7q9OB
zG(OeF8v?Ftel9(Jq_9+n3R+A6q!b(=j}aQXf^(2mg4GYYC#
z6@Stu_CGPZEM`+}c{z1l-k&SHk`d>0@!nM8ekk05zvAc^JbS^}{CogkNG16e|Dx8(
zsJ%*SxYe}B4YA+D#@f~lbNlCRr1a#MB)laYsC;r;CYRBf5o!373$F{exSsEh5qg20
zUsdY9l6xj0Zl`|M_0jhmSI!)**p?sHId8!{op+S-PUG1N@gE(+N{PvbLY`U0_O{Ia
z`&{mJ`$c8usXG=kheIcxzx?xPtogvv#PqKrOCr-hvd#FPPe_C=ip38}k&S#KULy{#NO<1?*RWoXYLo2mJR+W~;%`4OiIqO_?zeA4mKTkfoq3BK{Vho8d`2BV0+*Ib4
z=h?qUcGsaFo+HZD79_qucZ2ud2bp9Q2oV?G%rr-?ioM#MqC+6j87knZ
z^(@QNWw)s%;bs5b@4W`XI8nja_IyO+72Hsf@zB4o97`;_iM%UMrxBXh8L39Ib%E}o
zLMN&CC=p??$3uuVHue9(HeJCKFo4(rKnO*r4i1-L_Wxm
zlQS0Oxosbhoh-II46ev7xjJ$Af3eNStKv1{KK-}~eBwd8C0{jw(?^_>oAebRdTJNOCq=e1=4wt2*0
zpZX`;!6S1ke%3!4$Hq&9Lq6X=vEkobzR$MNt-t&IaGsKWp4{`q7qcYCtW|@;V{h}X
zgq%8iEk!%vWd}o4W&c+6>jvb>KZEWIF}${+S7(3x*_-}u;^B=WuLiw-;a8EPlpPh%
z!GT|2*Jcmhp9r;?xYNBjaoO|k*^zBKv;Bwugsvz50pL!TPlBH~lqJBlnwIED%O)>0
zfKiQLs{LAGFupElEoUmWN2@Y{z%@IxGu4SC32-V#a*VFAR}O2X1oFkrAH==RSIO2X
zJTE1qvCOo2j(weP{+ar^$Z3Cc1e4%BwpsugMKt8?l?;k14irBW?d$rVQyu<5zs_>5
zM)BH8uA-J#Ls?Mo`&hPYx?D_lcvaw`5+$ST*X754WWTupuNkky>-AUE<=L|lYM0Jh
ze$Y9CGX3znFfeCZt*Ril<#4*5QM6j4lem0C{l)Tly@Xir^uiXay1+(u`lTJc*2ZmL
zT73Nty0B`S?4Wd1+by`hzZ&?~>kIgO-{gHSkihzFSM0ZbCA60S6!&BM#CxK%4H8A)
zb~k))NpO1bc8S!zByt)KXf%QG!Xe>SpFJl%))M-WB1up+$W1(+$wMU!{{W*QSN;S>8xHP84yx)!2>}IvQNztO6&p0ZN1&Bn~se5;xKhBNrV&
zeWIV;1KId~6G(3Bq3kUv>mkU_tU=J4LxQ=yBbPrdiR*~a>*U1^cOrkLB%OCYG#hy|
zyVQq(v>_Fpo4RlI7_M17x)&Tn@I!%@Aw&D%4_7W;X72k>btER!mA?R>I#I9lcU6cJ
zUaj&Z%*zTXNFWSRUtn=VUXRn2Q|!?ad4@9$NX10iTzPg)NC!#yF)&+Tvo$t-55K~E
z-eF7FzX@%sYn1&sP1)Zr&@~158dQ*M+Oe;oAG444Z38sV-L+9x8H9>-Ps@@IMf|Lk
zRfDav##EgR&>wNZ!BgX-?I+r+w3meQ2n185rGmBJwzlBizr#39wZ}h_?R8XGVm5t|
zMJ-!T(OGfX?Uv-2lHDJ*nL2@iPre36(nRLJ?i&&6N{m>2;Yq;6-_lp
z&XB6p*ZK4=FZeXF|+q;hTUIP+_Ly=x>YQ8()WLpVW?ym8B`iCdg%WtkbTOMWCvaxfSna4Do+L{7P
z^*pmsb5~r%J`&fQijurX{2p3=^m7k%%0fKA9c+mw9S=sQ-ID?y1Mw(2hpvnrxx&CY
zSrzxA!r9Wvs*2OWt}FW(1Cn*Hw6+|l)d#tpxkhGN8zR?gB=UiDyTtdoNJ3-);5Ll%
zHI_uD;sgdP&<0R=W|u&~^PRmQpcG)?o0cHz<2dmw>3TC)q4MK(CFdH=X#Qg6f`6^ZTp2r;z5x}Hnn9RIN>eBH
zYDMoo;hePPC(tXBu-YRSMMNcZf49Srve*9*
zsaGfNAhjdLy#LZLsT`J894O7?xDMb7t^-|SQ}@&hz|T{hXvdDR5
z#se+#%mE4VWjJ}o?(VRYAorCAgYlxY`pv5E@7y}D@#k!cKf5hY7OT>q-u9$!6y;MM
z`Rwjuy9R=RLPxmvwmhKR$F04s5M6FwbYDRnEL}gwQmX&)OoSVXLD+U)J?f0O0<$A;sP&i#H&^3A^bUDnfS$L;#cE@UDmjmv!9qU2}2NHlBQifrud%BiRl;q
z?5h*-tBlaK!w(|kd(Z88WagZvIvCYq7q}>?E>Le3`e;II@-13vabc`H0$q3$M%(V^
zo9%SWp>p;-j64+`P#5lGQ8MaYtCO+3HNNE{Zxr+`RRW|C$Ai0&nPsP*^g9cx(-RtC
z2lw59AyGeeD*gyw^la;bByw4SSzp2Ls~?d5UD6M0$7*6}LTUmX)VhPF1m&&^B>CJ+
z6qfz~uD7%2Cn%8$)1w?2^SyjrfBe7Wl9ysXPJZ0$>V)4e3c^tR8V|e5i#xjI%UC*~
z=+dDbH0Ak-wE*Dy{K0gF*!*q2+7d|S{6d(;*3_%OT|Jb<_SAxC>SmsDPNhg;efy8$Rpi-Jtj22z!G>5?t`_hZ8pvPjQd@cyfQn_@%$w4!1A-
zPw~=Oodc0F4y{8
z8}4y%^Q2;uBOXP2qM_FPlq#co`ku_$#vg$~MGgx|P&*t9pul`N;1f$iF#t3a$AnCu
zJIjICZJfm%3Nyr}ik|Q>mbI|d?*7C7%suGO}7
zLfa0VmF+wU-~sA(wh=cN+$q|#gxoxd@*RS%!UavSP@+{5J`?-kc(&AZ$k#ek4Q@6E
zA-R8pIG?G^cRYfMfF%cJy#>MMR|OA>0)@iI0$tAnK)-*UD+i*7g8Gr6E<^F4`Fsc=
z>%aS9_qOw)Cg%+{;|J%_6*mqUQxFFH^I#Cfm}FtV0YhNu{=VEqQ!OUKRv4jh%vj|1
zlIZl3=;WFR#7l@PIE<3vBns4-4&}N$sRp>Xwcha7hiaq&kr;KmjzIB
z1vd>v#uq=Fgql352sf#KX=mCdRlPvRF({%c-=m?O>0s^!>mewWEEGwGI_OC1+UK%P
zx!pG}7Dww}x3V|DUp!N|ziOw?iZgOi!Q_&KP6-JVcEloM_?@zC6Wo!L0Es}va*lu_
z@~S$Zi|^5Uhv|dP=Ebq-yI70Z4sf5-MY+u^INDIo3wYb?y-Ih@R84Ar?{p|l`PCbn
z%TRzNpkIfCziYtsg(MGkg(gWCC&zlFkD<0A84FDKtPJ$dNwm0pZDK^sU7^zyxR+e8
z^2_gGVP>d9co^!WX)j0kEZ^eAHd<%pfH%Avt%@J0s}TX|dq%6`QBnH<=vwxbfi)H=
z9xcpPL%mf7BLJ6xI&c!q;wRK4z*E3%Ezg~$>)3h+Gdk!ob(U&@!5s1jWu3?dl#b&G
z?P|r%E7K>hO6?>yikVR$5y+~I_yf4SfA^aDc#?iOF*2RaGtp?B*Su~|Krv*Lh
zkJ|D@$T?vQimzVYtN-4yNx`;d`c3Kk;2u<{SJHgd2Rv$fLS3p#&mS5^4U>q@d+
zngE?e&yz?)MX)QaM22;J(un9H#)Ad?aZAnBjC_w8}-8HQi^4^PG
zcu)f(#mw+zFNWzm=lHZ&@ke`Ph>FrjUBkLo#m!49+?&b~NMAt6;wj1>e=YR?REfh6@devVwd41X
z?ss5EuH4*n?07N+hEFkJRMS9tiis
zuN~*xP%pR;34jWqOFRIh075u$1a2^*>BgR~y6;B3?<@2@2x$r@xP9skz4{!jeHx{$
zkg>B*a_gJNs~0WEB3ddLVEq_k-5cCZfsOi|OmpgevU+QmLa*7d+rw`y>Jg2-rna3a
zjbluwH>*hpyhNZ}SS-JiiG}{YDx5}wqmW!R4(x^OfNg|_tU=4KeK#O77`@fd#^51Y
zFCLuG4$9*>t)pG|HJLb+K;zs8zyc;v3IKrW2MGZ{h@yp{r^?oK7iXf1FkpsnLoYFj
z=-C6BMR(Lgd8ZV7k|%=Lttc-8R4o}ELxEV66JG=-uS|&4;m;|MMzeP^Ae2IA(8jd~
z8oX%*>A1gWzt|h3i}!44+|55#XB&GxL($0t{o*0_Q;*w)$@a(n
z%x`4XKO~RpQAP9+fD$Pe(9aY#N@Mcx03qafWk4aU;4gGRlNvzgH8(qnb=SH{?zTRAX=+UdK3dpGcPAn4~`H0+a&
zP|d^t+>#czdrWj;-Xz$iAHpk0;0izQV)OlbP3Pp^cl>uX-JOc8<^mK5K=GabCgg*M9mbszuN{I!
zJnoK#HBO>lx=A|h>nWMfs63B$o7mu{1B$}Vjv
zKLAF;!N`2D4e3~&aZdRVgx6n9H$j?6hUc)i#7pYzr
zDTOEJC6`?U^-viA;wBz>lb=@z0LO7N4T?V1522Aee6ZmXRBaT+>$_ea-wKL*3??v7
z+(DtFJNNVGio&m8Tn|Urg&F-P=j42py`Cq-^>o+ylmAfizYdofSKc-*9K<89P#;~~
z;F$;AsjoWH273wMMIUvb$fOrwlX}SJ*oT_@UxNPY{DK=#Msk26w+!F7P(5pb$D6wbe^PXXJdY=I7Y}FV)ICTM}Tm)KR}IE+Cir2d`nr
zb0_r@69$WW8<5lc*{xcq(F+zA+ImDs3YUrsg{f5VMPZ?{WKo#vbZY`sA_d|o{!)Po
zL~Yc{N3`B-6%rWPyYR5Ej_c>8k0e{aao>4g5aaafo75h49cNp;-em3hq@)w_
z`GrE#>|cn^PbIHhKl6fcz5Pd9k7usgeeCh3K%MSHM{$I#hk7D=`KLosEm4WesD!i*
z;ZT7_egv&ygQ9W}ed56ElPlVy5rg3iUQhg4tGA9s-@WfqV|Gm$b+ij|7A+w|EvSYu
zJeZCgSXALbuot2WC*-@auB;8)3nVxEOo`7ZN|(|bQ%I7m8mL~QV&B}zpE
zzVzV5o77K&MD+W_7k8MM{B?~DB}XT_?_87je){*XXt(Pt-S4G4xf`L@LQ(Z15x0$g
zNQnWHBv1O1P_^MS^d%(8Q1aAx7&8N~Ogsi_}%&(x)?e}w;z{_tP9
z^n&N+ticxf!XwEKVuEW_`y6R~02vPAkKh2kgEIS>eU$NH)^h+zD-y1#v2+9|TRvl)
zQZ@<%GWPb?9MN_zZez;%G;-A}RJ9K8@j2wIvLC>t-SSx@)!FAO+gJI%_ii+y!H=fT
z#ynU)`%wFd^UTzp%e^{l%J;4rwsMc}0CpSV%Is!XrK*Sc}1^o0C5|j*|i$
zL+}33Tlf<3ocHju<7MT@wC{Gbtb=>Lf8e!mL>&B{9+Q~^`L`Pr#}(cUP@*I%*CEt;
zb9zxG7O30QJ(pgN`M-sFw9SmCs@;QVL9fz@wV3%4#XKrfa`F4ib0gwMA6=
zinVD}s5IVs`wb5rnyd;{_8^-yto(XdCI*(J8gzq)astoXQ4>}kF^*eQ%g$)p!PVwj
zAjA#YejHuf8#XuIS{dN-UHjsc!=K)($eCxFtczQ6Ivmj-{cG28vme&l&ZaWNO&7=k
zAF_;dodeTUH0~9c&TmgzU*G-h)YZ-ykK4y54yq@0+*H3^-C}i7bFY8>7t5v`eFU#d
z$fgcXeagN0fUZ%)mK*KdP`f+9`Q1`%*|Hh@**bN(3SST
zf%UJ5D8Drx6aEB)lJgXRp&4BJoPtf`8P_je4lU^_si{9-9V;QeR^bITzxZgd9aqzj
zQCiSLJV0X3lIoxIJQ6m<0pJR}Jor~($4Fq%qaae@8h!D+;_C1)R6P!
zu3a6adRA+HT-xd>)w^&^A&Fllpg%;Gj)sn=UJ}XNe>3}!&UKCH*Ez21KKond>(9i?
zOAD1%U{JjJY&Tj?PpmEP{^C7)CtWI|g>%5kn{SMj^$ausW$Q@*+UUrTC5+q~hizyVk3
zVd<+z1|uTk?|JaS-S@EaM6h*gtu{a!rq~cgAL7w;<9SmLf>s=HCtFOv=hj32_zz`w
z%tX-AQi`F$vAGYc%l4>dK4N9m;<~yZZcJymTPj`rXvJf@J`?s~gZj+F-Um^&rmlY@
z%nEd>RCY`Mu6p(G12H56A@jQ1b&PpGHx%?pK^tKZ8eS{nJ{10g_+hW<2vinM82t~*
zGfm++pL5((Tb;~n4m9%IAK)C9ozg+NWQsZTv{cU5I~#LbdMIn!^KjZ40z{na1~bG7K2>=)sZ<-cpjg!X+p94g^6Td7ud
z&pZb$ytcf5ol0|Jiz7dxr7xm{Je^ATyuTQGex3(ad6*
z(kbmV1CMp6Y33fx56?_LgkV_jMFnQ%GKv<**!gXZ)PyB88o0UF$M{2TRuq_T@sER^
zJ?CG0V!YNCF56GKqm!(PjI6Mg*x(2Qf%IY1O}ladwjTA0EzR;t+VB`NRRM0#KS+c#SDbYwdD{il&N
znz$#HO#FSz4d_sH?rpsu=P~H9(iU+UjC1AqDI_3cegXA
zcI$i$)onKtd2o0uv0V1fXpa?(KvX+%{s1wsSM`uZg(T0syWdT9MT0Hw}QFNKE
zD^w~=F&m8nT*8PU!%qUh`2263!ClglDu
zONQaPiD5L!FwG5`bq&Yn)2tRJ0eX%Z3yEW1bE3{`|B`0<5*d^0sb>_6CBhn
z6)^F>{qJLCdWpo2C^B(bbX^n=&QOt&YN^mgqBNvOL)h=Qw~XS3%nM6H`1`Ialozvm
z833?#8-%xl5m7YRV1!1TNPQ8P*Hm8q5o6jZe9ws>J)rnH;u0s&s!g41ahSI--D#9l
z_PT?hHKfhh*c(jJvSzb)L_^tTO{#89u-!T!tqvxB2{e2}WXB{=He2nodQPjINK?ff
zQYX)^uDse9zw>(#``1*ix5Xs)?o-NEd~zkz>w08g9TIQdy!C^
zLa>%G)MLBHm|{0y-2dIHY<+J|qHdn8^@!gGQDFGa!s*N5yxef`1rw+igVZRz3AM+<
z_68!{wn4j*jF@1s?HY@K(pr~;7%VZ!g|J%)$efwT{!nX$XE`qp6MsLj4_g@h1nDpg
zy(8QursQC65}4AGc!V5%7aJUL
z8>H7)&)V)0tf5BK{XtB^>Vqb|wLMaHdWGwps(GjLzI7XXOrFbqm3ZqQTZvHx=Z#w~
zmDsyxRuDm{vkb+-ZRx%(inT$8C6ZyF?PtsoH<<{tF?a80l24CVc5-ZUkRo2fcxkV)f%-=eZn-u*f7FS<
zuD9LbG4HlLb~nkmv{^bA
zLvNCHy3wSWf{go~@gvjA5f$AtDBVRPsAf)Ux7Q-TkT#|Nr$ZG3=;l_8oy&RbV4RHd
zn&y^W0k{SkI^Z4nbq2X&@bRmn@yAE<(WJI&2=KC_KCjT
zxST$t5{&oC$uWNHYc4uFg0oYRW+>ghE7!(mv9%N9e7}!POI6yoN==vMKGyUGs~giZ
zXxYJNgbh)|GnY-nUTDJJC5!npuuq<1ot17M*b|0`-C%l=_pSt)d_ULMGuzbrl}=WuD-&N99!H7!-bW03v4pLgYO?lf-)Vk40pTasv{RGz7>4oE
z46{A_N?u!u@N%VN{PJ1@=f3eD1vCij_XJ#|dFe`xko2C`I6d9*;X=yg<#|Dj>d{zLE|~W-09;Q++#604dy|Nv_O1S
zpu0D+OtZ|_j9nkX7HNanUgRovf)BttM`uMD@&Q`UC+60l(X)A?D*+=-^ShVfoq24x
zI8eKWd3#a709He(p_}riEi-byX6ad*VTJC*Y=8a!Wj2vuQI_wMt>DBspP!>SU6ehJ
z1hDi_J#Dw1%V4Evl5@5rSbV=lSX1X3dOQ0ye%!~fQm-Y?6sYEG4!=^sLOh-Pf}SsRfUnvos|nv5
z6dCL_=|tBJ<1$!RQYT-m@YHCUQ{JF`05*(awacUrT+!p`1qBXL;9oD&-K!(ZD13g=
zh-NnZqpD2W9!16)C?%|@Ie%av@5OfK@{UifEr+w%=`<2R3$CT`+pGgE-m`)!K98xA
z%BI~W_}r5g-fUbs0z}pIXKV4nA=7!Y<8+5$He7KSS_C%FrOP6iLfmK}6Ey3wE{NmInP>KL2PQxqCl5Y7|xEg0hl4cV7xKHCXOzUJPo&B
z8O`5U9w1(;B1R^xmLxQ5Qo)vFM(T%1H>1dOQLnbsB65QU2qR(ezL*6o{`YB{5%UTo
z9Gzs$4%=XP@)>s(WDX9UzplX2!qX3j<_EJ^{)1HtkJ4jg<^nVCYQ49z1gJfHrsp=Z
zWM(zYYUMK?`7=i3C8})a($dRgpHbAL5X#XZ#CE$IBZNJlmCSZ*Tfe;Hfd*0m9fF<
z?vkH3?%Nt47F0MYJ27w@F4qSD!wLq`|B-pq_?XuIm5-fDx!{|Z)_b840Rn1*Vp!q9
zhIsmJ5^tyKbjjs2m17pLqA>FmeSwj?Ez`g(cQ+1hgY(7xRJ`PK-BZA7d;KX7hO(w^VoA-1RQpV0EzE
zn;`h6yL*OWZ171o6_AiZ*w!PtEC9ljyW4G4&lp0g^2L@?^2Yytk)rv|d0&Iv-L>Gm
zF%q}&5SZOOGQoCYm>YxDNb377**XYFI|kCrM8tsscNENS9;yt6yT-A?oZbibv3AVv
z!pJ%d)4p*X5>K#HUW8TZ2R6e33dY~tDt}2T>i|MVWr|7Q)^Wcp6$ip&L||tTN9>WB
zrzZaT`Da<3x1E6E0p`eu_tr}>3}dJ+9^7iVatKEC%s}*hgIEtS3^@$nS9C%L#HMM;
z3k$_m&|uLVhK`N!5l+uP5k17J9)IpiM-|lokuaBSd%N}u3ambqWU)NX;sen)s09W=
zuW%3ZO4Yf(q}IRBM+(>HdsnPrR13V_nsFN^Gy5P1qLlISFp?qD50*c^C>W4Zqsr@S
z!X&g)vOyQ(=e$-24Q~97cv&Qtc&{93oC*Lmp;UI)*_6N=RFnMynWF)5^5
zIzep4EC8Km-66)$(=SxmiG#~OIk^I|Il?A}hmu8JQ;0oZy67^*m
zyHWP9YwizZWn&0&J*4ZzH>cwJ=l+(yN@+g?5ulqU2tBCEb1Sykc-!KEv@wrw
zyC`YbuG|4T<<;#*h%X5QCQ#PCzYD4R^m%I6<35<1{M%`H^eW}uDfL$Yh!oIMkE?iArqp47^VouX{=X-?B1
z{kJM9h;}HXz?I>5fMv6x0L;@-XW8a>aPk9s5R9!4z$FdhC`%U%fPP=qHPNAAZ6R&%
zwzy5Td)o3Q9&W|;PG~^6gkq33oh4DC=X!n~gwGOFG76Y!JN#AaQT1NG_)@3YcOHOe
zOSBiZTW7Q`sDIu1buwqR$qPgUZM>P3HTLFJ>k7YhyI|(OS}2#CBdNOE2S@;s^5pdC
zB%blyuQ$1+G(R?gePf`rG$iCm$B6iD5O+!;qPWEMZIjipVxi){x00ef>Y)mj{w+6L
z=dS{d`#+^OOdRewxhqA7!kdY^u*+l5<(4y5t0SwS8!}q%b#8>ee}B`
zmp6ifMS?+&RZ%+JUb;$J#sC0I9l%8Ro`JDyGv(bUJB5Oo*k(sjL%!Gj*e9DX;0#3g
zTV$?Y`D33HS$F_gFt7>WlXoB{Qg0DBQkqtkWxly`l5T8-CPS=o+$-SJo|sW_apMgt
zRIS3RP-%C45Eu1J6WGdCQA2YPyu|LfBDl2Anu(Ca)*1A?Y=B$PG!_WtzOJ^8
z$gDYjXg^7>^_rUH#vh
zly5Fbjww1O_gwM_N_8PM!G3j3;H{H253x0$3m8x60M<_U)AQd(16q%&>PQghdQ9`C
zH&iCji&zUQ0d%})#cu4WU5Dp;n2gF?dTbgb<3QBqNO_=ab9c!_rQ6e0FUcQ6>w+A4
z1dxI+z4CXK6ucayLiF)^uO;6$2;ra<&ZdzE!sWM8>JwX9ZT|uOxp@;UOf6Wn!^Slez7A(CU=QptfT}Srywl^1W}p2{_5SS|!Y|OGoLd8RAA`bE8*|b#N
z8MhORY4#FGZ=i9H)(hX}O!e9^RvXnQW4TPE*t#swkZ8txVqcuuFS}X`3*q2^4>)+$
z>Q(8}lvm0kLdbn1s^WjW#VF9OL5dh+Kl7{%kc~DFW){aPIj|66gRA3&0$@Y
zUKI=1VDAc%gYQn{N?$;+jzDkT57TEZ6r%~eiAl=<2>`7f!nI+T6rUJIO4r{LF@m?dQW5EG
ze!L-$FoS23P*F(2d^Eko^1EvszSb`KUHY5b+8stc`4}p
ztY=`KH^WQB`3|=R(2~?4vL>Z;0)h_&OVO}IMeB}h9dK>itG_*h4k;*(H|X`KMIn!f
z>Y!B+%Y{M<x6tO@+na+?la`%yT
zbKcEB<^x%E#bH~ee;X`gWF+SI;Zfam3ZNzZ#%G7qBYVobTI$q(ho1M>>dMz%hXUq*^)8kT>Pag~QDl@jfY;y4gVapXoNm#z@wedw<
zFrP(FSV1@~9SkTgH^+4vAzL03nUx@;rt;{P6CgkvAZO|(bXfKr9)%|YRbCH~Z3|-J
zL9a53O!wUzJ*v!s=?q6=^^8Lfishvzw-v_$ow+^As83Ui>EnPRFM^|f`Eqhz5V
zZ?G*g>Ag`|68id=+ItR6Qa-fox^ciR$0*)08xmNJ$sNCkMHpRL&J9P6;Q#P`5Z3FV
zaw7zpKHTv2?O~OFIPmT$J{{9rS@^EAe{M6SHu&IYiye9QyEpNKTHc28-)oYBDL$Bf
z)tZyUBv9HMHU~s*bkb-OK0V*YH9-&=O{;{h{(V%5g2Ik?7ln
zc=zvyUwZ-`X`9@vJLUJUrwI{>dyln8X|)D6`oe_c*$_oRahltUWtl;&z2SdSdL@Ka
zxf|oQ+<>k*2xF8H!AoT+i+z8e2
z=*&{f0xgm@Fx%HjrMhsv@yQd0R(9qnJHu*lIgNf!Kwz@D=q3Tq!aP4Jy;!>_POCHBn&=CD|
z((~s66>F>l--E(no#^AVsAUxZfGBO)nqeTuZDLYvn))5C);Pv76c!if8ek4KGq$_8
zaH#@CJgK_F#a4$305oa7efGo2oNgtjYK%~48y%oAv#pvARA`v@eC;tE$l08Bvg+%mFQFh
zTL2{1*;X-xtD%Gk->FJ&1SzCEP>!kW43~{vmd+G(yXMLdfXr37icqgoFM;Y8E-(02
zb>gPd;B5?)*z@Xl_7I|(28keseUmsRtW4nZbO2jbjo0|-DjdSL9Sf2PBuG2CZFG$O
z2_s;tg9qA#byK2_Q|orCIcbgG_dChD0m3WbxTa!gfd?;L4U(ebn-+(}R(C))Z$U(9
zVv`t=OCq3>)d)n;+#+2c0|BU0e1W%tRX0I`F-WwOd01%>-Ee~zSWS~jcAZQuf66Rh
zV7;E;O3Bcpz0=P7xIGDY?DoRkR&juaO}1Bv0}(c;*2Uy23m)4;I3SLo*fs-OWF{~;S9++(XbTm<;PyeO?1ONnv!*)o6D6qg(Hr|(N1SaoYFNNh%8#F
z*Gz>smb9paErYfbv^8-zC{v$G$!hx-v{J>7UxTW)sWr+)Bf-?)xR*w$^JLp0I6(8u
z0C{skvZVy293{Yf=V2>^J4<23Ye
zP-Aj&q+Q`b*$72}=6NBRAQ`xTkBp2`E~~y&>86S!U1Sq{1LR(Wh2k9kYPTf3^+4*-
zdV>POh3MrPr`_fU(L@9mxwHDX1FRS!g0*b=>1VHm9sQQI5=i(;47PH$9RD9#0x8k32^b
zC3~i>V~C?f)lTS6`0QcErT~Vuk|Qi}wW%{@G9wtPhek-SN@;jtD$}Q)MnjCa*DgL>
zBHfB4N9RS}>?grngmbz@@}D@;iERN;k8^0~b!q6C^E}*N7e0om2pSSK@KJzG?*gdi
zP&?1FWK6y4f)mX_WD?TDEqu?_-L}=3r{Qgtv2nB0%7G9+{SawT;7Z)6zefc7$en>g
zt+a%XzQlfU<}T|z?SGCsF-o(4b97H4^?mJ_zsTDh-X4z;nffA3A6|6*txh*r5-L7s
z3-eikz0!)^ZF1DR(B%#R-Z#TM?{MvLVwUK$wH{}Ca{aXKoaniepX{vN4L7Pf*@nQ_
zv?y~&u!PPN!k~&3AguK~p)h=gN|SaXckKl!kss6+-Rtx&atM-%tPh_{&udou+!_|K
zd{6W>oa2jV?pW2d=W}&a7YWt8p-}qtz!3rhLBNR2$_<-i>_V3=XPzf;*F8t)@_Z8P
z1Dm*LjaFqNwh!MvEE<;gW9rk&#F7I%NH}wL>$7OmYXJ5o%F5f{ji!WrXy{h;9|$kG
zXJjmWQ9uG~Bk9U*>jbP*2R7Pd#6WSIpx^}Rjt1-WP{s1XF=KB7y5V=RW8(Apm)`a}
z>z~5NT(}&NMOJ77!B^lO$&PqdZg}Z=(^U8`vViV{-;;<3G
z!)|D58B+-O>%6@zm4Vnvapv*ws|T*pWHtb$b=#-$x|^gYZtlXG@*~2hP1F^N-_}1J
zf=zsAKjZ%l*8wHemb}BIsd@*!|Rt<
zT+hejUX;@SCqHbYX_H8oe;#%iJnQt~9~bZkp=GT-#GdB^fW8k)DUU=50jc_AYBW4s
zMo+uxi*cLOcCg(;fRaG9on%20GG*n0Ozp`l5jb5
zC3WbYRU=KH;E;IKBW_khbBkdsG)!Fh^c^&Q*^XPwKA$8$U(MM@61MLamQvg#fzUV*
zvPKjbB}o*`O2@J-=Bl6#w0qzttFGGN)hE_R?fY-8iO4E?JCH?6nQoFQYvG>*ZvRy6
zxc_|sAUT<;Y0gL^C!*cCO~9|YAg}#pdC;RZM_Db=U^CJICr*|0wk2~H8YD;u+U4{%htO@ab
z$~=83Z>pg&u6!^1r6m?yB*Md%z&A8#5aw>0W&0ls_>(LB>27A*jF&63;v9_X{|?f?
zKzu&@e40f2sJL)WHR)efPd<9X_z|t3oMe3$B!-nDyL<`OnY11J0pevt!`~43MMw+~
zW+f5wXF+C__NR-%+iW}j*Oed6w(|4=z*u)M
z8HwywIbiZPFy+wXNo`Y+p5W10a#ehuY-~LG6G%K55OfEfIGu!ryYlS>$eano7`z~S
z>usv<2?D5;XI|(nW}ndzgTmSeU%bT`kFlT-G;b$A98T?onD?+SsqwO(Xau;45WbT*
zD^bq&4C~TkyY#Ecug}FQ32a3XiPh)JCW(?Rk>F2n9D%wOjGBHBZU;xQI5gGhrxl|E
zNt758R6%T&)*ADfI0-^aX64aAbHPkee^RD>UAIjCnKn^Q`|;^bzqi3B*0q7(UPzk=yw5Lze6#OcMPpW#ytd;bv<
z8W5BdNffssy*3(_fG6Ui*Pj`_xX?($cF|_QY|<)!r=bd@uJ{xX6*oyLpJmo&f?%Rd
z0nrC91>-Pr(iS<%B1sdk*oi{AOiZjj=t-`);1J>kEt~zY?3Wj+WLA@ei?BS>Qb*&J
zHb{h{x3Olgb`hiPn3YS=pC69!%>FR6$KCO0#GY#RX0n~4fxFt`Cl!e6nHm~qbO{nQ
zyNf2zp%c$*-}IK2kXx-*Yhyj~(s}g2=x0!c;8;z9749?1@w4fF$gp?n%i}6T&6=SN
z!diQ_Q#3WCNvFt|vcccEW8gVJM!JhAv`P~CZcHo~bA(dMb*~Ho_C;p@8`~_<$^E}#
zn=%fC1}pYi!ho_sSwQu=4ZmbKJ+oMy0}uloKWVCg9UK+Cff5ik0+ME;N_pPz$p&zt
z^b+_%qnZ|nc6Dhj{PBT3l?(`*h<1T4gE+*K`b>4
z+B^%ZcJZYogi-&rSQ9p=v#|Q{l?pIhFzYmLmc=WO3^ITa{q3F|&jNJxrNS7a*c0
z?xDGhGyi7l3=0GK|808_ophcNxyiN&k6r$?`|;J|@*9UsesvkaQtNLjE=kP*l)=h?
zlBEPAtv5%-_Hu!h7czND*(uq{s=Z*~ICRXa>MSIUjjFQ9ZVFQypsdIpQZgMzgaVo!
z9&0!srpv*B^Qcc!90Kvx*~ulZ!P#2C&LYGlu#uzioHoub{rJKTxzZX+0#lnUe%IjJ
z#K*mi04IZ)5seue$ERAa4dhNFDJn>lq-0<4
z0I{)Jy|(;1UOxWa;W4|QqbJ;>R8tbl-px=-;dHr!KfeuITD4g{qv6Gyp!TOP-_&6W
zr1@-&o}#HRk*(UoHrasFhAMa7na~qOx7dcy+;4g1p_Sir+*uM4yn#CZHCO->_T=z#
zgMdkZkf6=kb>i0)<-4`cAJXIs)jkluYHg-v#oSiO$T4F%RIP@P*&Km7xpkD^^QZY3
zJ3FBZ{D48_YJqn^<*<+mn2pN$WHpbQs*E++%zP>mFyH1_Q2Ko}3T_$bAksT8~^SL&dx
zv)sO!>>&&&4gG1(IIi$CdiPz7wO3%KU+t|{WkLo!-Ap!qOecw=zIjpye#qpdQo1}x
zinQmit*EW?2QmecWW&5Ol#X;t{_~sDAg&@_PDYzx9Wf(ab3ggTRulT;xf_q;>ixan
z>E>wx`$>4eYXw$il*9(jRa+P+kqjdrTPG#z5*$2UhYMt$?^!)Lnl|X&tqN;L#3PFA
zU-a0{NE$BSPRwn-72uT-H1
z0BiV
zILj9QnP#EnMmw&g`4Jv=lo}pgOcwdXbG4mSVpe9KbhsOO<4nwv4Z1lQ@cBNar}!jm}S&ZAJwgCsMLb*_M&7`y6*)WuLFrUd>5p+Z?8(BPNeC`zPs1LvvW0{clJYR;w
zBqZ_n#$)PCjAX7c*grd3CJ<@|8#yYWWin)D3rmw^I(Q3z
z?MRIB7lyr_7RGfY%lT9Zeh1Hqgv*igaFxLiY{tol&~FIJ9d6%`9jDN&70B_8O3wJA
zgaiz`Q|c&<=fPVzR=s$vaLS?-DW_m*4Kpa%zf|-4)F$3F+BR||kxPV48nEF4T;1aZ
zn&%OyDM|{F8ei7J#%(8>kT-b&T)xGHal93s?wo3dj}9I6(yga=OC_qdaR<3Pk+054
z;s;!H6x;+Jyv**o5BuHWlQkvemTB)uC>m{wwhc=^ySjva^mhmwGR{aF};Jyt9mCq(vB
zgWFe>o5!B@*dA|`gflyZ@a>n|V?;Z?ZtYFnS~MfCfyPx1`gGv?k%qBhGN8)Inqn9&WVfsH$-qA$3^SQ(53Ey()ze^L&kGTe$}LiZ
zNR~|mdEH>D=kAqcv_7B1u0l091m?g)E?qGQV6V9(M;9mB`D9XnRGOOmZN%dO~g5PH2?PRRM(w-
z0pYs7mQijKPWC}@UsiDujCtFobnz&w`4FGr&&uAarkj;7aXpa50+7mt#8MKhH?8QCeAW5v
z;HR@Nht-&tJK<#c-$qi0&_~^$bB|3f)~;lkhWoJYJeNy!wB}G#s3f-y
zh7!2^KjiM8tC^}otx+dFkL-NWELzX|)e0e^-y3$?XfA=oiQH~=6s~~zDo&m;7#_f-
z93N$_-y2DN9om>X;zQE(zzbZDZKJ&~uHhVwa=ibX2(|#`1ZR52aU&~N);9=Vt-p$b
zZE7Y7s0{|qxq}koF?$nAlp3`VvRU;O9@uk9@5;V(j+9
zEv~vu!PIhfBxjU$pj;p-l)#4YpzthO=+k*$3bP&XFY(9HP|JSc!s<*);L}Mv$yq8>
z+ytQnLUtt@^-J)sQ+TO?#49!2H2{}6DBXa>$5Mr{vP!nH2{@$0p?h`^Mit$T)M=wj
zy4{V}V-u`m&If`JZfR1Y1fEDvY%4F4SZNu%#J}ukReDb~)4SYdn!|59laWFQ1)(7{
z&UGRmIq9qm*9U(S_#TzlXN1Ru$UV8u`9$(WUAyxe1ra56)JMWPZV0KyGQHx-Uqfh^
z{trJsgO8N9izOjLat;8ZKE#gYOyGUF$n$VQ!ry`5=7|`w=L@BgXNkNc07uF4UD&0}
zS&H;!BA(MzEp}Re6eM-4(*=9E5jxE{g-`Y5pFR3iIH8LX
z0kukZXQHp*(b~8e7`P#`f@hhbOiSmum}kULAsmvyz!B*6z2eeH1F!!RZS6!f|FV7^
z1#vVc^76!qH!1ybq5WGX{)#C&b#&Oh4vqV}IyzMt77|G35x~cvcl#=poQMMeY%mBL
zO2TYa@b;YG5XUKHnW|(+=td(6P!b>b8;b1|!pIZdPsV(u&_i&17AMi#&n^N?-YOh-
z;nVBl%Ogh8gh6>Jb8DN$kkVAsT7w9Ks|h7vKP$`);-f*p2p}yRcGI6r+Lw4VIIA0j
z<0CJjeP}}bgosrt=aCUwLVXu`Pr^C=Kz0HzyL6mulB=7_J1=F3suTE*CfC2b#%=^2kG$C!%z#G_uq~;WEq?*FrS7rJXB$&qZ+OeCm1jLvdmIk;eD5#K4?irkDIq8w&hFxV44
zMdZ6m1&wyuT*NJZ&Cs_CGCSXO^0SnJl9#oV7ktcL-))%(;wk6J6ogiSu>c6W2xwO*
z!7BT-FMSlI@db8B@E@geJ~{MF;p?1Se4cdxKxNfp1ndPun`ZNz2umbFsYFidQLEV^
z{B9DLah3kNuG4A3njD@+R7XMyXT$qN$TfhhtgN>}fxll=t~TLa#znyJ7?(`5GrtlA~voH$`bV3JmCQ-bT6>xGTzOCBv*({;t2mWjDzv4hCVZ(&?K>7zs!OsO0TR7Q
zT#%bu$CfGWTACq?G)b1}KXt_~<9M4@cQF%x53_MpoA=G`Hw-P%<2pQbr4=4_64fu5&
z+C0uZdX$p|q1fgyicHM%qUuB9bjLEktaZQqGS5p&WCDrLfPC7?
zY-9Wh4_t8=o6S|U_(VLOGmgrq$c?GS@#tt=*V4J}`Bmz|GEd1${2Y}BOu`&0E}fg5
z#4`}UKb~XOAKgEt>&bU<;8eD|;Xv?}rBlru<_ukn8N5{o7i0;un8(R~@{YDn8v9kL
z5Sb4?UaIaqC-#r@_@#4K0<{)?LTuOZt*7znOS%&k9BxF;F&w>6jTu?=9+eF*PT+39Ccui$v}bhV*yUnEp$K$7~*!k@4yv^mi)ncN|{4I#o7^pWhRKyH~v1>ps(V
z{D{glAR)mZ>17=6K)w64cLt74V^WonJz*$JNN=9N*MuMp@DKRe4iGx!TKi^5ofzg5
zL-7?3-!3Kcn<*Gl~^7%
zt)-1)+Nh8|1IJr|G*U#s)Z*A=FaAwta#*2ZbM~a05PLSj)y)f(;XR#Y
z{LGn=Jf0PCF2~U^-9J9QW&y`bneO)bgvm+#x;ECR5+3;+e%B0<`~_bWq^!b*dD+<$
zU77l{18UxZ&wHVDHX`~IXHyNmyZ3g@>>{i%-0(WHRBYdmUCOZs0BI8&#MyW?&kC!q
zWX$W|b|7K8JYBk93n=m;b|~7eOiUTtc6J@L!+6Ti#&?DtL_ssI4eJ@+S7K#
z-m;#&6|(t-&#o0jl8{Ffxo{J{i0XH!Q6dl%lk&^qBBLJo%art0vF!>vK}^
zSaV@QHigSJ@%ALK<`RS5MgUfY`+e=v`)581-xocPEn~zxd5u7P$|Nzl%5kYji@O0P
zHFw@<-I?QgD^$A^Iz{CZiRTpGD7UO8_%9u&$k^O
z;f2>1ub!Y;eOoM4u3Y4fJ6b7rf9#w3>mS!*dE+4Ix!B;4U?W8#iTGcbItC4CbzHiN
zQGSoBq=I;NQP_H5>yIgX`agHPKykfmV{M{r@@XS}6YM?K$JC3rE3v&mTv4*h9KH5
z+T^d9>y@~eR~}QF6z+A3JnkAHJmSJ
zlF}9)0#WQ;UVCO{58x0X{A=iBr`YAfIQ;lK%KC*;ULtuUs_8+pWGLgbzHOPjJ&-NI
zLYps@9rX>{`@rN_FOIWU`aC}P6F+k-eiI)b3-z_r@Z>g{w1Si;8%V~6=0~&k8JPXHQU~tJ{x5*oPGgLZPp8&(n;L-%12d!INWuLRLdsGyU+X6
z62P$O;Y<R5q-$`=^UK~(EJOHpecPIL$A5kg&3ZfL+Z0{E38)@V
zynwi>v;b7iAUPHVsa}w!#mgJN2$Zw{3+>>wz$TJ@v?_>kA=FWIVxceQkk_bxZ+Cg+
zdBDbmP^)-{OACY^kc~+Yp}rsl+RxNt!Va)rFZh9>$q|8zz+&KieK^#_BSU!r>Yb@RHGk?9&+Y{}Cva4u
zM@gidvM1YMBiX@6zc-KWfk2%(|K;alM;=^Mk_VY<{pEBJ&tF28S{T$9nKb@r2oBr=
ze&I>L&e1Ly#$ZB3fuhQiE1K`q{K}%gjLDp&Aeaeg!Ciku7=()rICg0yY)rQ9GYG&P
z*UYt4f(SRD6ro1LB0vPc`pj(}*Y>_X
zi&7F}2no0#Ib{?B(UU6v+WZwN^Hb{?;>M|-W`bjPNE||C02L}*#{&*#!Bi$g%PpmT
zAh6CgBo3fS*ry}_dpkL;^DPMXR1-N<>0>%Fj^XhwdhaWB(_NDcE13o8Rs7wp&rPjL
zf@d3A*<G)x>M6)`Ix+{V`YCG@3
z91*gaq>VMnJFo?q-U7VqVjy>dr?~~Wl8P@n8=cNTBd9ZyXj5}dVN<1mh#6wcMszw!
z*c=qKN=K6t`K``_wC4fr)Hb?|{dD4ss)&=(n|1Y(hslpUGp?IsPA+(<1c2+EY)Gx}
z{t28ffE!mCR`o6+Ts%<_e#yhE^Wp?>Ek04eydW#c^r=CQxwT|#jT%sxiA*FpxFd&=
zr!rNN1XldQhW8*+TGv`*q(S@#RcEh9|NVJSQ|q9wn|b5#Vn3rVftvpa<-LHhKHF|n4=~gpoqj}(mXEkz@_4m*BKFBZCgSG
z7KC2ifv9Oon#to6DZY764XV8)=cRy24V!
zx)f*v{}2MA<_|*97}F4QA~-=bPpAtq&UU|x`}~kEA#@v~bcHlRu}Zw8m@)EfnW%6N
zM0986CMm)@m?2AGbR-Up-)Kw1q%P3~bWKGHUL$zSz@|!7ZZgl(rtUa_fYa9q{NCX1
z-QU(QW2oBH>{yZL2(Is
zqQ^w|{n5m!`k+AHG*8I2RjzkBX05R?=?`t9*u_Ac%EO^a8k#=}Mur8XXQ*bHA{`t`
zI}DzgDl+qX8%TjnbK2HSvohfts|>u-8Iy;%_ZvdA-6!!zT_ib{Z#}o$0EKxmOt37R
zqFgMqj0I|EQmC#{2Jg&&b3DBnS^Nz~a}aoZkNNCY>f4DdfuT
z^RgcV2_qj;YqB}@&f%ntNGV>SD_IcQTMZhGTe9OW-cffrn<&eo+$BxIUcwN;qibj8+K+xQ4S0y8wq-g38>a#;IhelgP$K-xF^5IZcn
za+Y;CnLdgIv+Y7*^@R8|B?>cESG3AXIRGKF
zB{bdt<^DajQ?scxNykxFSOK?HQ%Lrm7tP7}8rRQc1-dVLy-6bCh{)hfY%1-sR8fgH
z*LlEV39r~5W_soCc4X7-SEmR3mE3YM{(6<1j`q#i;45GmI3Xt8KMBU8t`d;i5axy*
zlu38U^mFD?gy-;ljcf9?r_bR`VP4heI&35F#jMotGIa$xx^$^Q-okQNs
zk#V!nuKb)hslpPmmAb?el*(=gvVSDELGn(u$dlRs3=y+vaOX+mQ0>~Cw96#bCr)o-
zEX>t`)o{V9#}Y-Lq!v>oXy%uBdX_KiV}ruKxSa{f>_3WTg{dX1CC$_}I7=l>G2le{
z#;~|AV=hVv29Q%(!qCz*(hkkvQ8iVhbkU5TLgeiBV&PBU_)(@D_sc+A<{n=;N^Rl$
z>De)am2&x?H3W<6ihn$8zz8`&UXndeiN}oUL5S2d{kCm!#uu+Osksmq1f#J3J{VpBP;iq~QXan2R`HiWEU@uM&h#H3@
z9h~Tkn8I5s(t=GKL?tqwkl3Klye$QVomUb9l=^&aOhSs})aE4~|jb>PB
zn&{Bd9?517HfX8)9VKd@Lk*b|4XRI7h4q-=;EIe%i>w#d^vn@Rw13vy(X1uB@;hku
zQiJL<+3Yp{?2oD0n>`^DEOd55_J7cvx7Sj3EpmSN=ln{|iB{M9J(}~^1^s;`2P8*l
zx1@9YM&bPET#a<@F}i7zYnB6;M=sZG&l1{;b=AlfDvq;T)wNy4TH1pL>T@N8E^pTu
zV>Z#av|Juqp5$iUqrETyk*8vrFY@bJHcd;xHDCX=jB{H`_R_WEz1SUeE^;jYM6rxr
zC`Wg)W%gC?yqP=;xtmHI1#h4?e@o;!Hs0LuIlP&>OF!Ft&14Mw%_3h%+VnhEp$-2{
zqe@FJ-8?l*EjuvaT3o2wkzRv@DTtXxvD@RWLmZG@zUudR3B0;zK@lUX5&n@FhORXyjzdNx98YSCF
zg~uIAwCjqA?Frg0x9{~@>be#S3gw3AqHCj&j7D@j*X6X2MGuR~{akb%-F!n*;i8Mv
zxSUheCi_4@f&5tEh){N~<(-YLoTx_hvRv7RfU+8NnO+onEv;yCs90{d>|=4x{82M#
z1z0bv{D+*=YJSFYVa8Sj@?gvo*uwrUJ}i%#E&VT5@YU~J`Vu+3*HSvSgw^ZkdhNEQ
zkJC(4k&9{RS2^TAwkocb+{jH!#hJ?KF~0|mRj9DapWkfx)APmk(6+vgu!KAp%PQ?$
zSwEneN)^A5+-5O<(_7|*#SX7m+L%~*W
zjYu)-L2>PhS}iKfQWz%w-qL%!pu}zrTlKouE#amdzSvOhHo~n^X&?JA8RgelUu;?$
zQxxWE?^+&NvASgI=v{~^3Hr=$%okXH$<6q&oT<4G5~r*6Yz!@mt(AKdhtAbKk41~?
z+*Z%COodrhm(-0}qO4C=c{)a(7xq$Dk->c~GDp1bKaN3|5ZLA-g0Evv1wEl#*QUS<5ces%xeM?E3`=z8gZmTOVS
zFxb8Nd@a4-Veyvta%lDaC)zfJjU&<;QJ`Y(AmcZ8^X9j(4$(B*H}~{Y8$6?3xAYnd
zgsqNEwEwCui*OS{ZwKv{1pRjx^*NfZGoCjfm}}49etNJ%#af8)O3caIRge32oiO@K
z4I20BmT(5W9NlGN-Bp^{bufPDEy<0xh(CjQ^W(L`XYc1Dd(P^1segU&yeFYD@^;qMn@0LQ-vaOD
zcy?dm&Q0mdlx{L6yhUjKL0`MwSs>h-t=3zRafkW4AXee_=7o;N#s;a%`wd6I8{voQ
zyAZX??wYf`FRZ$CNo^?R9e0V!qRT1w-u5Q+_Mshmdd}LGZKH4^LNbr-1=dHX2-1L5KS16=CHmH20x67~&EZ|k>$!lcjjkhi-
z4EWxaaS<-zX(qp(K>t;!?%XbwUZ`tMyU9^{m)pBgM@0PogqWr3!+%XEbS7)cRp@e4
z8*(OBDyUlB2mBi*Q4ugmL^9pn3JNRl*f)06@85isffk%3>)J?2!W&c5hV^&JLfbdR
zq6;r&q~KzQ3Iepw8Vu*_F*IqVztf9JLXT!+I=yrUHmv%~hFI53hM&6*wkhO$e6mc}
zyUV7?_@r4%8f)Op>_YGAX2B)4_r;9eN3N&%iuT8A1_JL)P8U53kT;qh=
zO!Kd;!T9Z`Fm}d^KLqd}UEh6r2-je%KGL}jeDz?ezLR}X%@|PCn~WXYT_D_sO(vBF
zZ7xh|`=ToLo;|wKw;grMuOIb7u^xI(D5P;ZZDHIXwgIg8#8h%-V{JSanQOT~2PsXP
zzI_tjR|b9BxxlREbe;Ib>9nVZygK?!-*@^$FS|02xXa{>$avlRrC!^hlr;DH*QKLA
z{R*TzD1od#({qPKO6^1RvqC4{&EOUu)^2u9+sr7Q>~%RQ{$}fi)pJ|jlG)h0Hn|p5
z4NmkER^o^Li~;TC3NjBF^K^7_ScCN(jelhrWSgXfjC^#|5%wyo1s(JE@%QKv>N#We
z)t5ZYZHD`(cFL<{>(`phit?6HXEE_xik-T34=n#;FD(&HPUbCIPy1dR$bN^YLKjtu
z-5b!a8p)VfsGPqj$f@G^yyskZ&1W>(aOR~hGN`5Y)uha+7Igd0TP6q)h)5WE+Wzxl
z?YXB5mR$iYhT={q-#(4$NtJuQr;-2hoSt$GyH(AYF}G01xsjXhFJ3jizp-v2Pvcx0
zMr+5oW?%hqT=CHO%*w)w(nI#^$dPvyCZ{>#?9=7j1ztYwJ7w@B&z;%cGIOEt3Ago!
z(@JyhJyR$e=SLD%J>cohH>l~qXoc%{-d$Y0mZtUf(O~OEJ*&mViSO@FxttukYy$aU
znU>k9?TYrl%dzJcTX;s@Bg)s7F@iMCbC~&J(Q#1R;P-@gX4#LFm8WjRu4$-)f8Rkd
zJdZkkIh+v7IhAV~$T#HdHPtY!fL56Y7me*gSH2ODZrWJllvcOlVitboV%hkkN2=Pq
z8nYK)g**WtTwgA*S#1CNF)-x8xz@}hJqYD(Xz<<8(laMkX*J|wZndApiGTf
z*7qLuRBr42%r=S(tS+vGEe-
z(r#9uI{40~!I8$#)G13fvG-ZOz}SGsys5h%#L;`a+lw9lsgL#So8C|S8zyjR_m{@&
z%)g!F*KOl*-cZXICkN(vD*yYTH!kw%g`%A}$A_?25vBF
znwP!xU*dzqsly;s!{^$n-?MHnUw=BFKVxV!^`KGhGKVkQtw%zj<_El5uog(rUPB71Pj6pp1dZC@&?Ggf30o*HnWb$F=H=O@nHhR5m
z1--j-^+TR_-;Ygcuo13>-MFnpa`St1N6azwy^vQc*~@lZU9!J7ZyVpVwYtxB>?`lR
z7v-XRVOD$EVKWtcfB0Re6q??=ia{?8D3+dt4cpE;o!vG#Ch;eA@$n(r-q=a>6yN{G>Bb<+t}
znt+P$!hD!ZDM!9jV-L+YI>QKY>y#2znx^rh&
za&adlt!n*4LpDC>>pvUfra-CP-8ZX$?1zB>4j3=7{tM;z>0l|NoASz(jt-i5Z%W}k~tWam8HC112b
zZnMiZ*MXK@TPJPwLNR7vRZr@l47Y94TYYX-yr^SpWLLkcdD@u?elhd2E9kQGVOB6O
zQ*k=r#g7?t&kHKA&R!MxSz$uEqxM`RrNtqolXq=;KCjC0=dhQ+!CmfQ)E$hupJ(Eg
zx1NvPEfx?T$kuP0@5+y!34JTJdE{Nxo?Z}n@TXhy6w~C)`*V%J^7*d4gyZMq9A7*e
zS6R_YTWtBMw5Q3&JL}FPxAKf0dinG!%Wd5M781-Uw)az?c-WyQ
z{YRk_p}rmZsMw^xW)&Kw8#em3P~TBF?J2Pb+w%8Jk5+!}dn{y<;w
zXN07fdGGfY4H?Bx#i!1^qx=j0-1Q~5J>>woP|FT%4GD(sJ?7mpM*`^V|BG;{nX!6Gs1fJTdzUH~r7t
zc=J>4OtjDbZzBHrZIQ&)j(p(mP~7G5^4*{HP5*c-LkIqp9kRLHBx$vsT#H$(BJ9ca
zAwSFAYMQwv-OvoX66)2e`zoU4vjv1$tqv{A+2e$P{1BD-+Js+nD;rBNZ)$6c>1KA`nJh4{nC(H4u}Fe9TPJ%N
zr$)97lwwjXQRBIj%<)O+Beu~Z^d0hsXXUCTT(iis@GBwds6Z=~-r112mEVP=xP^A<
zD#dr4?k&A3VJ9Sibo(-HKCmR)JhA=-n)Z0;Q+Ee9CL|fMLpQGcAl$c>fZOxK&BPX2
z>CM`NhK$`R$h>{yZa{acJsz5s!Tn4VYkN(vE>pT#%DPZe`Scrfv5;owzvV+AI|tav
zt;%dbT#O=}kmsvk#J+mQ86
z71TLNYdQs3BTd+DjX2c_?$6m=jCL$tcdFN43$VMs?^ppj-Ehc1WSigD-^XaVJ2l
z_*3uPycq
z+0)?QUu=*u21l~Kdx8z_!NiNR8CC4J*~!0-SOh4j*_wKUe%Md0g}lbJ0UTY>|M5-%
ziv9aj#P%8SF#A^|=z3@$vm%S2lhJq2PbO?^4&y0Eh^Rg3^CkJgIBgzgoPFQ~%JEG63fhXYMi
zb*FS6N70*c1=yx-md^kPhE+qS
zuiW_iiC0$`-|RtTpC)=@Y>HSw1vBXnl^skxyI>ssg~SpO1J{TE98@M=m`IJ3pbSFj
zvpt_LmP2Ka3TcX{?4k$|=T6@TR4Q;?q5=?Ys{nCan_?r-+Or;4Xlv)Yosho;?gvV6fhuul(Gj&-;BHbb5wLi4!aLee-9u=DG;e0-Iq^8
zMCvY`+c>X6o979S?|gDj*Y4Q2NUQ1Yq0DadDR+Gwk^vR`XOdXNFt&>;`+v^
zt5@GXQ3kO@Jieyy>c4u_`mOC51xzoG{Wz0%rLw;8bK}##k0*~|JW`CdiUjpvOWcT_
zcTDjejz?J@#beXj=+9F_ueldlOGmU;5pMy6Wd~YO+4g
z!q@Km4{aicS9#ozM>)t0?mN3Yp@#;*_`mDlCBVDS{Pcg#9mXYV{@wpv&g8nnedA!x
z;Gj|L@k(FL;VkDFVl8xUdJlvh=zuv_7
z#cjy;-IzDlm}6*Q1l_0UFo2je{P@-w1=fFS%H&UcBrrr=?R$i6HhR%y$V_00Xd3?g
zqYoL96#vAW%76U+>?52ajSFi+(CinoY2gcgBo%D(E`#y#kKwCo*23K5%$3KDL55Rv
ztU2$8L)&`$6DDezkA4ptytOu+?__Z(62)|h$4d>S^;z)XLA_7?KSYRP3#M~@3BM~WAR
zU22f`0!L0*C`h+PQ<
zeP_S`d(3DLx4CM*cDjK+=j5m}7Zkw%26G%~g@7Ue$Q?;=|0i^+{r`hbHU3ZNR5Bq=
z<9|b^CL;eY=(L7M5a~BRs-udZtFo`w{&7^c%PKXzX!}C$RMYeSflkG?=}d~tsaDBlhg+50f>*foP6qGQjrK=r
zojTp?80y!m-V*-Fy0>d{E?F?&d9NpeDWv?qinmW#(vNmcLfjk~jJwDy)Hyl6kJnH-PpU7>6Lw8#QeD4T4Z94yK;QFuotMBfu
ziku(#`)BW4&b?>q)seNcSyCl&U`)e@D-hHW|8*|yjl~26>V87B5wJLzgh_WIBazDw
z1{1}SWvlE(r1ADhOa3s=B#yArrF7+sqxeAS>;^=p_IiW2h3r&nRT>skFhnPIG*sv6
zyJ3CuY%o8Tu8PQ~NoFW0>#pTVj2B5}pS&W6PZhzt@~5AIxL&xaQ8reasy@{tQRp$U
zIh+4J*L95;=+@|)=OE3MSW1n%Kj;9(Kt86aD{od6hNKrQ=dkezZPXN8d0|e-8pYRn
znrTP+-!j~H*=(rs=$b-*nD5M1rAV(Yn`p5ePW$Iy=Oz0z_N;HwMK>2UCWMmGFXM}O
zhqu-;1naIfwN7d)(D`1?C)jB-langjpL)%&H?vSqO`VGvZA&gAI-LiwbecF-a5YXO
zq*1T=_m}?IjZ@=#U*YmcUex%${KIcm(pwgK@W>R?s}O@r+OfgjIl7fKZE|U&ffFq(
zBpZ^<)U8<#NJ4uXEZ6g?y-enj%9L8ECR{2=?0@pNk^L0soGOA_$i8aWVYy{q`tvm7nY7LGVF7&ZAk+Ek=3u#b=xRct4O&b)
z&<}OS69E8f><}G(@(}OIdlxHsi5rLZ+GImJZ0WOSv$emjUd+Gwix_$yo5&~M23#@S
z68}=cW3&UJ3TN;Yq^^BD-H)G4ZkN4H#IY>(Ha-c6=HjyE*{KGBSjj#E$Xfinn$sdh
z{$+JcL;GWFVeQjf&HAa&v?mrdxQx>_;*yC6M0Vvj91nm0DH~FYXNRf(x2RVZD08X8
zpmrxA$H>n{1)=Ioj7V-hWPw
zJ0k&o3}ECq<5MiYdl!RcbVUBsqH?hrjHZ`;?_?MD$E?#+Z~!$^XE@!(?iyQjpr(Si
z>$JY(H$jdhF#o@kt4jY&ne&H*<^%BS4T;i{)5ifE=T(3zN}D}}Dg&7DL(|TjGsj|%
z@_MUgl6ZNqMo2{yI$ulD+{PRICcacWS;8|SoiN284*PpYcO
zb4Plr`EMs>vQ~+3iqAZqj7rQ^Z(ic9h5!~OEjo@8d3&EdGF8ZU((veho*9r_M$d@P8rh=JX3Jk9@Tj){U)Ed5&KP>FvS**GXx
zvXKrOJO6k3{Q8XEV|0*w=F
z!U-JKoW_OtbLjEDVFRdD0?%M3CX)=vsQF8qf-HyIzCu#g-E--DOp3b@YOMEEXED24
zJmQ}=^7!AU(2A$ac7ZqDGZLL}AF+x8|Hw(zC^BC;z#xJEZdwZgTS7E&{!M?L}WJnB^3#lB94j
z+B|LrefvTgaJzdXdGds8PFC7l=UH3})N~T7gc!~#&~ecJ?Cci*BYn}gCjyj1&M%L4
z!!E+lxVp|gxsrIHPz>8ufpc|ze)+3er6T?P&u*^cRF;N>?&ANV=w2L|{{BCJzjrai
zu+1>{x!;*fZc!U^zmxkV_e)eng;d)NbDvuw$t@8v*Hma@BvkH6HzXmIN~J#a_1o`{
z*xu*7&hzzrAa(caOLDzb%5OfWG_H0!z3d=XP1DqOfwLj}wM~QSAGEhpf}RY@%V@S(
z5$EP_wOyfV7W{^4?&vOTY6OVhCP1~F>Udb6wS`lVG}W>v;~t(Ki{^ePxr)>ZBYYBa
zu@xCMmdZ=8gO@u5sp|?wMxMTYL%MZxd)T~=-^`67R*{g2^2@ma@@-@VZ2V-Oi%(Ih`M9S1znFS+3S7LOjqPDUYPOSS
zgvG{%Ipk?E6VQ^yK|dRlov`!XrE4~H__IwElvXAF{;J?JSzgN8*MI=AY;XK9sEJFg
z{l$%=4f{}GqVXZFm2fG2%gq0(pWhIUT=DqLxSMq9hOFSt4@&3mrIoOt!nhCtV1+Gs
ze+Y#SBd)dAM~-Lh)z@W#@9?e=uL)`vlTad)AK9J{lo3St
zT<>#ky<%RfnNu&ALf(u$I*eL(Mmq0P_`Dg^*Z+}5HJ8ui_MCpaA{yPe)p1F&{bAY~
zNH^)&pUt{UN1q;u|)28qUvY%!e7@V`-UiJ>~h0?ut;3G6%L6~6Uby-dL^p<{6{2Upd{97OAtvlIIoZh
zL)$j${_{akZJ_-j;xA_pi~N$2iQ@5Pa6wbZZ&64f0qR9S)&oGM+v)N>>c{6)BHVwK
zR}>e6!dk{0V?x@SP|D42s!KsW;^gJ|)0>n~01AwaAU~a@bkBPRpHq+W#FsLet0T3i8lJTj|T)7li7d+vjsW
zhMrFYfEA1&5R%8$%uyAWr0qfxoe>XiT>@B_Li)2`h+^EtB1f0vfgXtFG%ub7#&cH`
z$gnv$L=k5rE`KC8CfC`+8M)y1)}7}llJ{;*9tSBngUbPsY00Q}aRN+HGoJcHkLDmhATq!G@As~u>KOXy(3%Ol`wR_3k>``=!{ZC)O&CVsA%C+O7nJ3^pstArUL|i61wK?1
zt|TM(VxS(oMMVuERcaA`uOz3PyNs+;)pUm}q`+Z(Kt7=~?mJZ&?JQ7?
z#4hXB;{~$|#|*jhw4xpq8XqE%R0~#i;}Pl$KXkJcG?tC6pz#x9tc{U|1c-?u@;n(_
z)r8^~uPDDMPpfo-B_2gvhyA30iDYQe2+~6pDegzGWn9q7@JkXsWznNwK6d;V9x|hb
zOiehusw(p@hIW7TxvPa!c_oB{Gq=NB~!
zRln`L8eOEe-%t~av@&b3u9DR))$%(bx4LlpL0=PbmG?nRV!lz+tsVsnGX>>)jSzO~
zhp|+DYt#om(P`CNU(Og!=cw{5H-_J8tnG~h4wxC3uTCPMJge14s=xYK4a*z8iP4f`
zPi`UO{p}A|Gzr($V&r+=iqVeyw~)`YgqO9rl-|ygkGYhQkMf9>{b^l6wHf?Ia&lD;KSxz#
zugPM?r9O{%$Dvba&jQN3+jeWJI{
zfAkhzL$r-i?1)3;%Vi2~X{fYZ
z_osJ}AJ;pzR*xKk2Z*}E;aohF34$hY@1+2AHc_T>I2
z+G2-3G9S1Q*#^2$mbcwp<%oH&j^fIpyqzEo7SyXY`?DnNxD+bl0y0J9L3PiaqH8C<
z_IaAUKLLj^3+}gXIG`^#2$mj<^SDZN383!7>gWl~3{wHIGd%+xw>zd^qN1p@#RWTt
zN{<{R+1dME>T>7DW%RHb@)~Y{3$*V4&Rvf~@-jiQk6DMf!$?-@mGPG1fD1atonH_4
zdDJNz-|Q9ZW%|MHNN*w&UOtf4V*||cR86qd3ZyrR=ivinmscYzSwfEcJd=f6hl+lc{t$MErVha
zd4X3UeCG&xU?Ml@N#^lku)x*F0et$0ja;VT=$bLe@pF;;iE%E31dn)h;~n
zpjgMcmHoEX#YZr9+rN+5bNAz7Um@ovg8Fv(8UPpWio7ST3CiZXw0kQyFs@+xl(%8G
zms3~Hde`$Uh0ZWetu#7mpdqiv&q;dp)?XC=&$emK1kdUO9FfheAxXa!_WfC{r9;Rzr_2yAwMzx}+jak;hqaDRrPbjwxWINS>09Rg9n^M;dw
za6GRa3v!9ccNXB)OMiMLg-42f$z=t0PYabupftP=KZ+|`P3e5(?t^t&nu%L-_E)T^
z_Vec4I{9%-;sQz!DiVf+MdNs*89bjLJnk#JRd}R3zN@05+mA(dS%F3X01b({bP!T_
z(HZG8-S$7yBqmx;@)!qF@Df$`GNl)N;|G--->&RDS@4gC%j~$~dCBA#ZVa9uQLu&+
zJZb$PUB+uw-bJYVfIuDJ*j1?f>+l$#48Q5|0#52}+I=baQC;7+(usPWPu_G&h!%A8Rmy~v2CEx@{paAMrk-}7`HUAOole*jG61DHJfTPJ+~iL|y;Gp=t!
zkKx{_lql<B5yL#8k9Q`}=07`LoI*YDuJOr#hm_d@+#!x6c5F!V3?kPE^#wbGiI$ZRkCL
zIBls>&6!={qf%&ZpP;u%f<-~h48~Lf
zuO4qMi)6#tv)Gu&baRxy9`Ddu`}hxO^|rCPx5?y)(wnv?`z{$f=aEP8KT>
zr?ZU`AYA}_FYq)Oc>VrU3os1>2)s5dXg0TJi_iJ3@j`H>ywHu!lb74V-6#03L(dAo
zSpA#pm+;36zkJF9>6?&Km^K=Fs@;dV81Q%!OyP~K{X$snCe=OsuN!@?>o@bw?`r9_
zsJG!A$CzLNjAL!K7x3S_Oo?D3kD4peB0*pW4rB*XkO!UI{nP(MzIOcwf8cyEQ@-#e
zM^`jHU-CU4^OhXXN(T}zjH2#>=Uk9|KX+b;e4Uy+06^U4I4X~zEUCh6)iO&^<_Hbz
zzDCLwy$I|UcdpqK@|33UU_HV_HI;9M$X6;)RB9(fKPQHL$mE2~!V15=pPVBo0JVk@
z5LT`o#h!jjt7K1YxY7E`kxWUi?PIsyu6f`5Gt)e*>Ixidu|#V5wt*iVk@uU;Ei>@v
z7)rd$dMXQ?+7ucH!)vh>0jkSOuW6q<0jV6g_64RU@lHUC(OLd8EuNGzb=9$Izwc2`
zA*E)04htVQY2lA@ErJ&L{p$QG=n@S#9}5Dy2e0OpQy$o3GW@!5^XKwH45{v2h}ZFE
z@g?nzb^5<
z@q$BZrc=hY;T~2&Q$RrsAPfomGhAz5@|RfVmbCZR=jk;1(oMnuIH^{JJU-kiI;k+J
z#w(u0G^@uol#q}e9DPUa?lZgH+Ug!1b<$jBNzcHoEa<
zXXkOz#N785jn=>VZbaU4hX$0u{mp}xO(RmXxurZ6eMgmvTZ5s5+zjqoY$k;ls$9yY
zV~=}-aKZ-ZVBDimKljG%ZI%7oa5lEpKimUOk1pV>Vh6Pv{O>$)Q|A>pq2u$vOICt|
zCf%C~YT8S+RJs{_xy+f$WPs6bK
z4mF>6MIFw!Tc=$*YaCgAn8WBISp=9y{7=Z^+1--+yI+e2P
zACqtqe9Jelcxr9L=qB-LbR6hqIQ9I}*9_mdA2-EZL=0y%$u^sIKU6fWdmF#Fgi{H=
z-RFP9c(+!dM!XAKh(p%DZ&s7aE%D-)$~e_^#r>yQ;;2q?o0lAugOdgANzm*H=+SeIPP
zv!;v={}Qq&`mWgn%~dE64Bj>Ue1n%;?13w=8J7Uk3iC
z-ShONIfz?myN?<0F^(@2p|jFIxxZGq>?^b{)U&Dnc(VQ8+ia4dRmPWCiYN8e!{#i
zSUR;ND*d}Is4y`Vx{9+}{3)fmy8%mLylldzKn@QI2>{Gh!Zu!zf(4sOmxTUit&uu&
zNLHWc!W2X$6m$~%ilo6ui1e>~
zQHY3iABTdp;FR7R>2E=KocCAfeK1-%@u`lQ4XmkelNx)I@^S_%qA70TZWCXlX-gTh
zeN2Y8rIG;bz|iq!f7rd;YP}L6iGr_B&pp_JZb#lDsb-(cd6=2sn$CRJ^yhzPZNklF
zHGfpwiC64q(K68}TEYlsZ-wD&Ld%$}_xl~ihr&=2aP48Yj6ptHB79#QtWBcL4&B!%
z{#)Q%SY5B;+TC`(4}JsITj|nk;M>-s>F
zQ&9dCuihYKtx;FC-uzEAvQFB*VRjwkRbK|>cjqp^eE8N4GYdsPPV$m?zbHq
zZm0ShJS)T(=ZNupr^M$d=c_EVS8r|QTzOZ~P{W#exr9iglg!t8!
zXk0Fnb3kPI(2otCxgD$h#Q$I$d3R{;bX2L2yViDH!<&U3|84%q=lDd~vU$DFoz_Ge
zceC`k1ZKoOjZmV(U~;?nz^PWmzq=0qquo4S@#A^!w+V%38mgK}?-yck9uD$X`E|$b
zlejNKll#+dJL*mtmKY=7cx4koRFi3ol9W_OOO|*CsB4^kALp}L{Pq6pb)0{0>TF9z
zBQuLf0vqN4uY3yP?(Yz!fyuX16;YSh{7#Vu46omL@_blQP%#?YR{4}Kg0GB+5Fv{4
zRssM7+}kfJb<6K)(9&qG;nm#HiZ@-=hKQ{G3L^cQzJx*cs4sOrFLUa8dZ_lW`-|Ok
ze-GR=DC0d%=3*yb>>Y~G@T@eokD2u@L_EB~szY9d$Eh?i`ti%I`Yc85!P^5HLZ4z=
z&ff$}!z}5hwJSw3{+~z@2oLq}$3F3}y%gD=TTh~3b#E%gj-NBHQF84WkG3(eU7IY%
z@h;EG|CbmoWKm<;A7TGaul;mi{E^26-m@+ehdhVq#k0Z73r-WS&Ko_Ek0yEJ@-|!=
zezfVTdi%?lHjUH#{+$RDzoxLf>vma5vOH_?i`h^Ve@}tMCqiqxWHK5ea-U&KBdnfs
ztWz?6e(SAkcEn{?)4BVX@76fILyPqy?KFV|feIlGmiKo>k(xb59oO@k6dG3-dPw1*
z!R~Mg%*R;AdR>`zHS5*6Pf|KSLe3B$>1Aq;wR{+gr)uLv)^Wf}yekB1N{e{lQ5<$#
z{EQum`XQL_vR*RnU)gtDx!A6loh;Ntz!%XdP{n;*HLTMv&Ok(%C{8@SRT6Dge?h?|
zHa9Dz@L0Zr(D}HZs9E9q1{&)EGBSbZDQLIp!iNw1*Z-qp+TAiY4hcUtbSeJEd0pIU
z(Ei@jHDW>hn}p|s{bbqaX=2AljZ^Z%aLaQPSP);M4q_C2W&b}yeeDmP5t*83zkIsU
ztaOXw`$WM<|E;OqIaFb9{XQdi;F)64qO`SqQSYYIj^35M>)NEjtDS9pk&D|Ev7w5H2p_N)Zdl(zILUg;FkR2j5+%AlCSEA0B#lJR#4M
z%taEAa8$+g*9OMSw~+WRA6#XsCJ3;-v0sw4)kB=iA2dGl=ajbnhh0x7t0}!}cn>sD
zFM_KzFPfwp`hxXqGlSirqWvI8IIV^b@m_+y^{8*&ddP4qTFanUPF4+#JhXN=f?hu=
zGAwQKxTq~|pl)AV56iQ3IMZ_&Dt*s@0zfqFG6rKa{egO<6g+ksYC0)~BIW&pu$jBL
z9<6W;CTHD|U65u56O-bjPZdsw9Jp>~I>k_&K;#g>
ztSF#9(i6kq0&eS+{N^^)c5k>5oI_0R)ZZ>(nq0q$vI0!kb*T#G-#M7
z5Mx!Xyag-Gpro4v{S>Dy?dV!)-h+makgO0B@WeZc)C%?38iY!QNZ>HF6Vkqc_qOTz
zEurjZrC0g8N39iVe(5U(m*vkLzJhGawU%z^{$~AlmqQ^7?^mce0WcZ?zx$YjZnZN1
zmS-z3{Vz<{VN&Q!x|xQ$Z2?+16ME#hr66m$@F3&Sf$p)YaLXpy8L&eCBg4vKLlD^)
z4|QH5QISyY4KaWY3z&oI^dAE3GUAmQ2k#&CYr(I6N8DsFyyNWl^-x=zR{v`?&2_s!
z`GN_Q5f`lJ)-<{-+~6m7SnI<-FIw?pBU77vh`oZ)&iiXlvwF;4wM1r
zF*aGPmf(4IH{#LN!@2k;bLaGk_~9ALJGngzw2T0JpbXK
zV*x0!el*7DAJS19?o&Y>7yyPmAP+bgJ_cs=P819%2i{=}mtJ#Q4rv)dd)jjNkz&i%6EMZCv&rC0ng
z)nNY`|4qz2=TAZwaM&p%d>aM#$3kC^AT(3Jc88sWJxC
z^rnCk*%xH>eT_`DoHub(#TT3Xit`_MiYNXX$?GlWRaXk5OfIde2luF)FNfbklqo}Q
za0yBoC5R^h4UA4vd7&yl5a?IVp&NU*S2NnE9zr
z9v|ZJ7Ce$c2AjViIkO!*#G!9NBF{Vu!T@n-y;
zrx(`@YB#3eJId`)`vBmR1U!(%V=zNeNddv_O2x4mdizvOdM%~GUQI2ud1@nUqUDR%
zC}kQXybFL?81NDR=7Pp4k`0wbILcuAt0jgpLaw0n+&q;ASX9pXe7RAgJP0_
zheI9?I@m;HbinigeEsU5I~_wq@)To#;Krepj8bzapxI`K2Wr8U?YtisW8gZ#&f(ib
zA4A2A_Nnnlc63b&HP;X%9f6RO+c%?5us~048_`>TE~{S3ZGUs(?fuyf7v(m@$T1Y;
zb7|&91nj6URc+T1q)rdnm37~R)I#pNvY>Z*pdsTYoftd^PW>m%@sOi%s`1#Y^gXIF
z+--EMZeYcTSa}m%vokJ6=VLAgO7P2|`4I(hbzr6eiKiiF+WvRvi!9vi=gY4(M<~b`
zN=1eu1MF;49;OE4&aRgl-#ImMC+h1LdvYGuQ1tD3O!sM~$OKbtLUn&8!58wz?YK(R
zXVj_ZQ{Lqp8+R)V={%j&IpYbyQbGI?Nyl|KnTiV8$QlrGIT+iimf}Fkn(o^!SW|*U5VsUoxMh
zm#~ZKqO?~6C?Sh?iSExG3UwlvLeIokze1{a8Gx?jR
zFv=3&$4E<2DwyBvJF`>weTTTAa|nS6ao?w15P(?`s8>Z1S(|S06V%!Y`@v1*8YkE4
z3mnV@p7fIiaBwZvpN?Phn*)5wFFTajBf6C?jdLf4%Gf7t@UCu9i)n~?%vlPfI|Ckg
z&>Wr_^IS(w_`lwM=W}{nIG`;d+3q=6+qh5Uc=@gWwOu%)X4w+a5$V!6QW>jyR^;6_
zg*)42LCscv9uI*jg2^Wwl#2~o4<3l}8;w)1Zd_k>pB;RMKqBe$Bb9kr9`8%E}Ky4;VO$a|d*!7Rm6w~;qDgWHn&zRfFdc0?QEfo(v
zkEb_Bbv)a+Y`%dBZ~S*hwJCkpQ14sQn!H7(=PvZseVXeE
zW%5~m+F#DecZ@)U{_51;^Xz|EEZo#YRN99-k5TOp`ulzF#@k!DD@E+p8-EQdj;tBc
z_nz)hx!Nx4?e%^EGXSod3QVyfI0rF+UtB+ab61{3KiY=)TDOiUqe~i}+2O8DJ<77r
z#qh<>Dm^aMP%Hs(Rxt7ffutv%zV+`Xs?E-S+u8DrF1aC0K>aX{@NXjDLLTK4qpkJ`c8c}UZScil!jG$Tzj}xx@qUdhd>~R^VhB0rcgeUjyYiu
zS#g@9M+b(V?4*R|N$EB@vCCqwT59q?GdUIZsIJ3P?Gy>b+)E03f;@b=-Q^yFjxxEE
z^yO*LpW%}E!P2YgS>qsKh0o~wjo-6Ab#Xs+%IgBGf6tkU*|3$Yr)mwa^!ah5RP%sVQpRyVz5Y`{+&iT3mx~R?Q^tTGxyNi-{+36h>0}y9&b$bny
zVTm=SAhJl(ZUR))E4|oS6i{0C6D1Ztk}r{AmnoGxpMutuy0>#MasDPmy3~c8I=baa
z`ng)mgP`R1Zeo7EsBG1momH4bay1yxrUA8&PLh1tHrU1Y<5rTfA)(fli=uq2Vh_nQ
zwR$J9s?9pM{(=`aY-(nsN<9}$s0meSMqw|O5CxRuK7&}z(IA#M#Gl@BOYF>(Lyfih
z6K0xs-VpubN{`bXW8yvNs8LDJ&CU&F<6sR~SIWjccgqI1wXw?)TcV2sI-!zdU1c*M
zvgq-^8Ea9W6*HZC@2f7HDh<)<)WL=})@8}0MeyCRJUej3v-#jtr?y0lUSb9+EJfA2
z(yE58Gt8$sfFF@oj)X$^r3t_&90;)$xEf(^`!I#<-e8~9L$&Lf1@GoyKUFP_N*vtx
zI0xlE9-=nId5zNzo|-ww=j@(k&e%wwZZ5XQCIMZexPu@nFOEMG^vwo0*@DFP
zk1NRc8Bzy5`VhbCrWe*^moodEPgFDtM>JeC-H;coT7Ty{*Nh%tda9h&;S4QllI8!+
z4GA*dbP39{mOgX%VD`dgvo0v~6PRiT!75v-2C6{GK;oA)7_WgkX32lzBN6JL+4sWqD
zP>WRc99b|cvB=J}2}yFJPgN;Y{Lf-N!FILMk`b-6aq*TOzkCQdgWg<(JFQ9yLqnv7
z34Hproa3t$<*pf;+*BljvlL>;9oK8)f(c2AAlTn5PM~TFH^>w(Bk^
z3F^RhkeaeJoF8eAwvad4@y_yiBeGUeYV7}o@H1eI|3~Q&;S~i*fmkc43LLNLdtPxe
zm-U`!p(Hcw&hqPJonJ{{DE=kzdTm;YaiD6xUaE|15CWs*(a6Cz$<{12K0jlhdlJR4
z;a4@W^2Wy=emvw(L&;M$ru7;O(!V%AP2d6cLoy?Ov|r+MHc5*8$_uN`kNp1by57B6
z%+*dyjC(&AwSl{9x(NtGvxdcKB2&+HowBR9a)d1!Y=gF)^kN_?j1t4C4AV}<;)HQY
z3_4Q}8iq_&hb3~L`d0>3)PE!iawC0$SutoJHsrnj2w(Ar+b%q9iATGdnCG;q7PVG&
zt2VjW{Ad_+j!8(HJ+8{xfuk_>PFd?MK^Gh$B1#bgru|QuK0$T{01I*4d_;T@XCu5+
zTP}%CD$P<_mEK;-31A+QoJnYv-65D&QsynY=k3DIY*!RRuXJpH?cblehL@3?=+b0^
z0gik9;QK8^70FWGqnj}by}jQdC-~xp?l;>$-st!nmePFPg^Oy%U9~&JA>&-92utC_g$eCA
z@$p+4La7kKVe>lU*847J0d5ZL2La(<9VTAM%GKTg95PKB#Q7;!6Vew#JGUM9Z7U!;
z7zI_=eCpt5y>XmDH1>f5~JjQ9Z15A!~0!6F9q&L57
z-vC(lxl{U&`d})g)v^ST(!N|eAOQm~_Z~3N5BuhxEsb&&Tu5_Stmpd{gRFB7eUP1d
z3+H(ftT?~q|Ywgmq@8J!(GuQq{r+0idobjYjeQU~;CZHmuUNzfB==}ovPuYXmSkt~KV?U552-NqvQE@)U4zO1121ibT_&hnJwt(J6zJ(O_k^U
z4t4^EAdENf_8xS%rzZKq7OGq!NPu?cyD$U^d))1q7U$hGwun7zILD
zb*C?16QmO$V!O)YHAAS&x)GSJ<|^1~BO_><57`@Hlw%v3H^9})wTBI*-0uDU^loSD
zRkWQ)1^=a{nmWO<_t2MBRrV@)Znt{BV0!W#%@t1)@h4}9MX;dS&=LnzpW{}T5iX&n
zH4oOthG_3tYUdAg$w6p7NTy9(JJ1quXQi$N^~Te_rpxi3!!6H`cWLEGawuG@PEboo
zjtk(KT#fUk>ZVu*3=m{1q-66cf~UZI+B8~3iM2W{yrA5wfG9$reXIq|RflQ=kJR=L
zhIM+#yi0`fLBi5&7FHdq(mU##S}S%c^sG4}oG>e4M?u?x;JyUDGO|!US%O(Di38a<
zgSDrL!g~af{FlwDXhmk3&#pH>%~zGfS;nU9Hec&?ALHHjG4(
z^l27Qz$uO1a-xpdWD2^F-&LLi9GW697I0J+2xWj+xy
zyK2dmrs65Gh+#3nGS1Lz>n26*wX9|cQJMvl>dCiP1Lv62bfrTomBVm701Q4AnC@bU
z%tomZHxg-m*9DQ~VKu42XKU+!=KHuev-u(jcX5*sh_n2kLsV`aus<||gf}Uw$l>9{
zlB5N@hEJRmSOsN_qkI_~mQGdGs#VZg{bq{WX+co|g48D=z>WYk)~tZ|FJewrqS_|VSp^4HV~n3j;8R8n3&b2xl4fJ@D>zJ(t|jYD5PQUL
z-O5RsG~gi$oo@-v@(NZ~55DfLGV#N%QBc%cVfTO%paboh67bubEO<3p9*MDHu{{^y
z;rGF6f0dMR!|`BlKdGhgQn-06S{TQLHpxQ32j1T+-uNc8sfsNIkr61P>!otUFY0N?
zhS~`sfF5zDI)eBQ>KA<63V3uQbQq_`X|6!<%)rrFE?NM~FhN8LiM0j+#xDe}B9z?F
z!(!va38!VxVj&Tx9GWzrkRm@B2pT;EJtI^cVIrKoR&mybgo|tn`UE{EE0*=+>02Tx
zC5*2{i_>Q=_@@~py(16ASjmNvtSX4|I5t`fDnG9R;Ms*H6AvZOqspTm1JSn9YT&Pn
zwmQwjYOZIaq@L#coZFyXt)}V59JpKA38V_y>Pe2+JQf0^TeRp@2}4p6Qx0ITFAwGA
zOpk|IlGfYu%_KLCPm$)Yw?q@vZ19vv*sB1#V0JiwDMF`2Br>#OEZ3nXW)`Vln~>WL>K&gavT
zhFVUKs*lXa+P~SlWrnb^fJ!LI<(!
ztNBHqM3sZgE`Q>j7Oln9?IrcZ(^u{-!*|N|+Z>>7qzL7@z2|~-7G^3CCTqJ5kQE;f
za~~6AH`z1l9Bo3WRS&T9l`MvZ$_5UrPJ?9k2$vUKlV<3RQ^cWd&`R2zcQx^HlkZJ#
zESex>f6=jmTwu@7gSvjoVfX5`ioFAr=h8_|$}ZB5t^w9tm~#f*zh@(!VlRoXA+HXr
zE`eW5FDo0Cd^X~UHPeHgC?Y15*b<6JJm@$Qw7T*tK6z&Swn$gw%!im3+xLZ*&|yo`
z_R~9`uFH;AD>!WT>Dn4afAokGdZBxMvpI9#PR59R=pyJ3MpGr1{W#N4Hd#$&ox*s1
zU~8yBdbk1?c{?6k6Xi=z*xckrw>`lfdB=*0(29%3mH{H`e18mQpdgl14~Ts8%q6YwmJ!1ux=<+Z2^khq
z^uO1cVoRQzECiOGq&%wNq@lXxC=LbTE>Lv?-6v|@u?xtpWiL^~O)cGn=8xx;vNpTW
zM6I^O`La`=TFtKd*mYRV4}X6Q=Y9W3^z|df>{~yaK?*K@hb}t>A$YB4?W7E?*BaZd
zbiM78X2T3Y@;g-JUDmHm??G%LycR`U6>WW91*TW4!1Xj6N@-YN#ES5{&9>XBMJ
zTQ!jSCMe%B#VYFNbf!*eOwXi+4kxkA`nOvnh6I9j6pcSL&U`kRoWJyJM=-k5rrC
z>lV|;A}FXSGA|wg@3A~hGrcbyig+mLD+2qGMG@L$rK2prr5>nO(>|cgJT7fg#FQ3Q
zu_JY>SabwTNUc3?*21zVc@8jsBM4Jo80*Rh2S+3?Zf
zgZ*sj&4k9jiZmaS0tpwg?by*H*8l7%(wGej@Ag}4Sg_$YNpq^IH7(efVT0)ZZ$(PW
z5Goe~`ce?Js`K>&vqCVyq^NZ55Q?{}n)1Y+A2)pfk~tQi{YL>U4f@7E<)TB9OM9BX
zi~Xff(_N0Tss{T997p!EU<~4XO>RiC0M?GE`^%&%ZWZr}q?kUJB(bF#%;MAP(7SZ0
zc6RN;@w6J+6|{A}F-;+5SpDxk%YnxNI1p`VUkvW_(T=!Somyr4XX8$aiu2loX5z9}
zhip9Y8rJlY8Z_Lvyct5>VXg35&C#qQ
zDKzEc=pk+B{h3t(%zpw*I(KWfP~=fkOH-PDVP*Z0LN?v{m9v0&w*)iafEmO5a
zR?=GG*E)p9BP{8WmZ4z4*%qpuLRDTN%It$=Yn$aT!=JRF!qsfXju}UIu+{w!&Vc0S
zX#TTI))Ulj)>0~VY_Nzo};ENx_(613XQm?2GNS00GC!g)x+Y?9w}h9s@?T34KU!O27n
z?#CNuWyH|5Xaw}t@gsNL57KOFT^-DPr0@&;F0oeQmTz=RB{x|xCpPzl`w_|eUYn+^
zMpFjJ&viNKJ;UnKZ?2!({@X0Gad1gJtb6}ocuH^G4(_?7uXf}Qd)t?fU_4;q0iu^&
zjU~QAb{bTBgeDs?>5*KN^eTsS(i(QeX!q*D`JXbiAq?I#y;{8s&V=IQsT#41!=_8a1AO+e<*+9iUYWR8Z~ZZQU*afg0}w
z*ChZS{M!8e@`E^^j^pes(Zg5b{kj3f0?|Z}AbfZz|D5!8%N1SUGJtGWezl>s$nP0U
z%)BBYbR-)kx40$B2RL_%&EE485F_`O$IVdVdek3@rTS}6L1Toj6y&(y@*b=@8~41!
zRwr2P$32HPk{)7~r}#nt?B-Ak@$ViLtKRxeN=>4jh&XLAm$GUYORE;`m45DH
z>z0yp&NhZmz69spmR7x=IGFV7%c|TZ{TrrFG=4#%K|rU#)Y|xh-H0$PzgPteocg#~
zJ7NA+snq@3A0hd#0P|gz8erFumj&z(%hQKhoBV)eiNcVGyOVpH5@0txTJ?Fv75~3R
zN8v+Cvj^mGLXkcMCLV&Eg#bzw6=9fxU9((8CjkB~U-dt$aSePUa~pA}4QHt+YH_=0
zQkU(NGxR&8t)6)h-=%LMCGs+&F3Oy$IHER-JtYYIwX`eN1~xyTqtg?Ivp-%6d)l?tQ1ZT|fE{3u&@b%y{az55C)5kNJ?o#d
zE8MF9lg-Vyl;veBd=&-pV#9PkF2YB!L%m7RpTa)wnSX&V#m+ev>Yt3AwSThRA>bO9
zhE_D)gVPj`AUp-gkUYJt0^7MbE5Y+$;zR42b^)MbV(euI2@Q(LcrMnIKrNItIsn4@
z@s$rc{EEdcErzm#m0~@!g0}aj1aBNucPOkeSIpO423Ev?`wa==M71^XI@xtM2>z-W
zw~fH+5{OV0wuYyfwRWN3Dc(0(&J*+f39ik_co0*^s|wVP@bR8vNF0%Pz%gpnsA>MW
zdgp=0a9oi>mipKgv)-yU!QUT!!wXT%b+o&v<KSJ~J`BRC7y?aS{TAp72=wQZ4kR^B%~HuFkwjOooQ_1UDD45_MfBL(V4)3pT!%fO;(n^ds+
zN9Mi4e=2vx!xELnZT
zJSd!YImc6N&ozh$rBl)Ifo9cC%ez^t3{`_(98AR}6RF*{9dehkxstD+!II=K!_nNNmO&{qP)IhZ7fyVGuBmN
zdVx{P{T_yIdc7h$Mp4I1b%2g2rVmTykN*9IT2$B1aZEmFbgWiuf|l@+$Mx1Bu3(w%
z&WSW9!Z5BZn~`>>P4PauPT`WT$We0@CGXUEDMkpdE|{Do^BZSJq97q!9N{Q6C@|&4
z>y3-Z{P%lFJgZ;M>P%!Vt`lotxOCIj#Xw7|Dh#9OC#L2FbyiXj^J(A9GOa+#S2E=#
zUg3|>b`#~Bs-^6c>qX92(#+s~)%KTOT=36cxst5EJt_+$abz(>y2Y;iX@!|!`xr3+lk4j>O05X31GR3(h1@j*pkYJ|n4wv9%4ns&+YBYIiMAqSuLQbF;A{slRlcle}9Rsb5
zeedvvwOrhtTi%;#e^NOb>QOR&<(fd$}oI=v0qv-AViX?t|qbcz-X?5rG9?tCb4#?|o{fPx@*hTIbJtBf?U2
zQY%7xcyoSTu^5n3fY-q-3|E7wH+5S7jH1~8J5~g!X#o2S$FQFt1+y&SxC$uRi2=HD
zZaPDOfQtAQv3Z*TCSYiWn0nuOK6(A(iGlhigT1RvBaZ}o^AjQ3-Rpc)vt8yl_S(;*
zwoUJRtJKz7MVQtS5Vq4J+Ai*n#>llMDB;FrnEm=*+rry=r03FQM(`^07~^dj3xN!N1siu=hD&1_M#tVq3=
z;MIKB{2lJMOcuR}hY=3q{ly|)SzUMcduP<|<*;lJ?_f(EE~PmMh7h(G1>UMfGoeUs
z0$m_0JhSz4hkZ1IDoYQQIF4K&%JH|)aPHE6E8keJWZG-*`&q74dQ1Y
zZuYCUj|yrDgF6ML!DKNS3+pg{?ljYmvY}k}yYx;7PuiF2xXq1;(3c5=-+&PDK0pc3
zVrLk0R_{`J@s<(ke1$1gv9wLL7g1U2kokEC9JgO#Rq~-2PZZ)d?Z3tAODA6MtP7xa
zP6Ud<4k?8mAUSk{m;XoDeSbCah2f%~goGrJz$8HoMNH^jnshLsgMc(CB1jWKdX;Vn
zy;r3}=tz+w0s=xPN)-W7LDVlGDvAXV6>OZG^2@zlz+Fx|LGo#0
ziQK2Nswugm_2waJ8Rb|CbrBy;9wo>LqZteXqqBlBkEu1NL#`cPokt={#wHyTB7G!Y
zO$Z8krH*^!(0Q7h$z5I`Md92yO4rO^Go0p#9C38`5t0)7+6A*g#@la1wx$X(EBgG`
z08JMbqzfVv0Fxit9enOY-)lpA2P0_($TWjXw*7dH-X!~8U^*iL`3|*;rM+(XiOk+jA4oN3k02ZA001TFe8V_NKum9kL(FCZzze+(
zy^S))>UaB#^b6sk8Gj9SFv0UE+3hZ5H9B_OS)d-X?4nC|M{80!8p!ZLkVPMA)5>Vq
zu0eeQ@QEHAz7TLURfy?rs=5^)se0;-0;te{ZCl@EO@nuVZmBU>UU4K)O*;7@9{r}K
z!b%nzp8(;07BFIs?HPlaX@^ge8|QYqVl25_<~@Da$&*QYeg5OhF8J;ip?9cCfRXvH
zLFfliSo$#8L)r^)VF7DU>6b|!>*Uv8*!qbyUn=bNJ3rnBq`}czD<3(R34Vt~*Qk->
zU2mAPuZ0mVsvBg)1%P`uh;t4ESSg$bE*whL9LnqXPiuIlwO~)-mL&ahCUYv&2h5YA
zO*Win9|^HSfk~?O=H-~pcS8Fv=t?$V?;)C72k$|_bBsedn2;tzhLa8;U09l^s{$WI
zmp)&Ewu>AFzdrJu7s{R!%47%`>^eoPLEcGo@8;n$b=WjrSef?-{y^w79n@a0RG7tm
zBC;+C{xz*JH_>t4O!8KBt0LD_^4D_c0kSGCENm_;5&Dh*gY<9lOwZ+0zZFyt_mpuX
zrju!`XTHMHTv%R`xus_CaxNE+e~)$V$=r)s_y^S#VGMk=LoZ9c$oxjNkN
z;7B*U6ghe2_L|^DPu9*bM^ulC`v&s4F!}%hp(GHf=JBI&ZxVM^YmV&*n%>&441WKo
z+qGCbo@0{8*+W&*b>mQ$>2pqg1q!0?uCeiMAgvzxus(3{?op!)ap*LR4h1BxQ8|6%
zFNRDC3FMeS7z8DfNALq70~AnB6vMj3$cB+7spxlW3s%j>*bPg2Newd7-;PI5?+01Q
zKzx+d0z=YRe~7%^erz=xwd|7gED4`_3l+GY-OoireiY(Dh8~TEf<4r8NYVs1&0CTk
z)lFvBXvk{R98+)wdFymjYS}cCv>#0SOg8(v*2Z%iw+4p__w0t?gM}qCEq+Y67t83@
zEpfwKGq^|nAym3(Fp1Z-!m~h6^c;KtH=+IlCBI4NA^1S@N6<0X&+6lRccm|Mp+c}i
zsG$b^(xSVz$3zc2!OS31DH*{k=Pn@fOLK!bM8<@A2xc++YT|`>-!r4-AQRHems9|l
zB&rz)&K0wDrQl1G#6A_VWSp{<6?{YGw6eirs3KWaM}vd|EF{2vs<}a4*cqtO`kIXe
zlJzeYHM^yC-G`%ilPlMH5F9*2o{hn&TI*C8|Qr%|!@@-oe_?TlrGL07^$P?7CB5TE(*PRf5A~apS;|-^F*s
zurE?`(cCNTNRnwmsN~J>
z8W)dWwkk~F3ua44*%RecwQ1Rd_L+Gm_cos|{K^7THuO%rt#(lWTb5Q0>z0d1^KC9dul31PN)z
zxtDD1sB=N}u((9-D9W{6Td+}6$Ny-Khy|f>CF57ZWr6_W)iM&nEneNTL{N*?9@e>J0Y$wTb6CK(^AtP&A~15wDUf
zVEGt-yQM-WHAeD{*Dn#R&;y~GQ@>~<+?#8d@TG{i_iDqQtb!XnI_es_f|H;QvjB%J
zm*|x<+8(}noXLEWk}wfXPAu~0006J;O8&#(wvXrev-P0PoL66hvo%Nf&ur}t-a{}4
z!_=$|ZXJ&r;kl{CAK2gCeC@vY2)Fh~rVdFL>ozz4)n;ej?4R+qXz^=ULC!5|PV%Dj
zj&PkLNojhGmEVPBcCYA&Osnspx7&H491{48qB`zwJl(e;AJ@@zQEp|Cjd}O-C?qB2w)RlTyEo1zhP$%c&|yt3TNl;J
zvcgn33_2EB&|Lu9x$vh=EpqZ^N7|~WX-1r^nQcHqXT7}x#Wi2bC+Vv=n~rD3WEO`T
zg)6T5&SmEOE|tAw%>tmZf$xbNeJ6fjB^jv|VK;~t4K^p&;Aa$^LQSkN8$1qA*8S4wILk+>3Xm6
zr0_z`XDPKu6gMw(SIiw{BcwUoO@J+%h*q8Eyg-L5195Ec*lw<|g}zi(S{aW0BU)%F
zY&yc>32*>xgwSFfuH3uirqTq}4ycYry3V~^!*>r5(n;L!=p3&LY6o0;)Hp=UNAf7p
zzSAS99;*=*21}jGM2@@2b?V99oN(tW+KW^jZV&V+?(&fedaN@QRijzh
zc#(UL%pC_I1RJxLJ~n0rg>zShy(s>rWOfUep1;@H;LV5zI@}ikx`=*n|16c&;vcTv
z3Om~?fWWT_cGjO$p*AS|sEL)ms}kNj1##ipVt7z&rFwB5-_~&H6{x+N!a#h&PaV=x
z^G_jzb@&g9VL96PgEiDz&**IE&-^#RmVZ~z&~#o0l1#^ipHQt4nie-^pPdoM`(EbS
zIi2v((B<{d*w>SX>=6eplejm+q;|DjbY9uk$V3Ayzyzh(B3veOHv?PCKB6m>-PHxee#VQ#M>E$F>R6v6kE
zx1JOYeLb&Rj;+z24$-qsDi5tcLSl4SA@^G?I88@{_F{Cn1u>sX#Iwx@P8U6R|EHy%~93vQ^_
zx9b_dQ^vvarY6M4g}BY@2_LDL=1oC$Vc{htsfKv#Rd3u?EJ@Y1$!++z7@V7ll9$9EON@(WsusPW5iP1c>nPlSAO}?iVB^({uvm~)
z2c8j?B2eUZT3lut)B;JZ%0Qfk9Bl5AsFL=2rJ899{}<@=y!uiX0w4jQFE378gT>O?
zKn;;1e`Q`KAvL*YY6C%Sae}AmD;^wUJa6x?cvf>d$%f(%f6L`tySHTGXAD`B5T4F{
zMe_yfARxm0@kk;&pLV8d=LQox{i?~bOA<5z3|1s3QB+6m;7v3X>|W!Sv6eoJB5+gN
zmqdMTXnmhTOJu|0RSq@5g+_vi%dwf4E&M4Lfc-7X-m}iVx3gs$*EzI)ZOA$S<+m#H
z6~uuA9RZJR#{~g>cuIH{cUJMo&gRuI+S`6xiv1-aW;gW!0T@}bhSDtHfc;=+n#_ot
zA|~($$>war=cipq^H^JtT?^wyr&QNuUjIqg6bWN&GMA+u1P~Rq{82%9qGX**)*-oB
zup`^T!7SFPYeK-zeHW4eYp0h5LE^qk{z-wmT|`k2X7mGa2jnK$`AqM{i|Fle!@~u-
zZ1jo}!bCsG=S#X#K2`Q129yBAi`A^v9S?af5%gBi
zmJ+&-aF@;WcI{f7VuIjh{zE1D{q2IGlII$mKfdkXo7;Yg|8e`b!BB8(HG){Flqy8>
z|77`8WOl33y}HpJ3gFHMj_8wGrIA3;#lLFYSwm#iR53;6)&vf-Jn;gYA$nnv{k(@a
zoZH^0I+4q2AHg`Le7#xrzWUeMZ~fs-ag%Zo>P
zoDK6jnN_pAo5rX5fH%|P>3Tl%dYtP`NH(CU+JKPb8Ev80#-BJ~7K%Qd#BKKPpT+Oi|&&m#Az?ri{m-}6eg7gV8TyG87&Ao;ooIb4!c9aN@`U!sb#JMqk%h)X{o!*rB5E7E2huRi&eQ~QwWlGK)-*>}kWhLXZMI-aDGuUE
zE37|OxRY2PScj7!8nU}j+A3-XWgJD$x*y?gU*B3j
z44(ce(#R>-JAts-hydm-l7V8brsZ6CFa(Q^AIwIa?2-UpZs0lZ*~6-vq!JizT#m)M
zL@r9ko4-2Tqk^lriYJftQfrJhS&UhY
z*+~nF1mMC1Z-9WXl2L~a{`Cq>M$R=0X}K=*HSKXscoXJIlTH|icdpXDNFLy2ZT)Pi
z2L=iA{~?q;?6`
zqd>CcMG{5`%DB6q_N4q{x9%k%!Hhk47Ms3#VR_fv1h5q^6v*L=1m=wh77=j$Eo}4r}v$yCRFMAGokTN^x|`Ut*<5?-d(z
zWx}X&nIkv*8B;_~O{B!rI|5I+Zdw(}>u~ryeKu(l-nE^-oyDrkrf&2(z)+PY@Q7u=
z@nQ`+!jc`xgw)Z9lvBok3KXB|QrMttg>YltSs>7K`eS(S;Eim(w^26}u{2I2;uqe3
zRv_~)TVbKv1A)}sV@+;SWh*h0n7)ww3)0*qyQAf5uA6}K%l+`dO_>05Hwl@0i_m&#
z=%VAAAWko_A--f@moK-V?HpGEPu1Fa%IyoeHE11`ae}@mYo4Jx>;Wd-C{cHS{Yh!*
zwNb9y9j4}#a=s7g9!fr!DDND3bSC2wMuA8uWIpo}KI3CB|;bE
z{(C?{|IdWNCaA;C9yzHOm)ctFk$XkPEY5C+sOyfZtri!=hpOu2B!zfP?O6{D{PZVdU9dLTtf)GJg*vIC81`-39~mfnr!#G{CmodUpb}L
zb%SW2g)fU?o2PN
z*tS=8i;ezl2%l0jgGv#T9&f*4U8$V9#1T@UY2B1Sk-ASj9z@U5e5WaPh7Oj9=?Rdoy&ngbAHi^l5%PJ*5~@Y5u+SxkvQb=jzEi%o)=FqfgFN9gLYT
zxVMt5+g3xBo7fU&`FK54(2qQ|wLv>wx)+`N6nU+-_#T
z;G2`2hm&XH_6pkv-=30dmbQMun*B|SGVgnx4U
zolQ%?{m(009s*#O3^%96lR8c5dj~YG%~f&Og+`^`Y-P
zMRy)@@j@el0?BfYVK9@i7Dg{QkqqP;{PAgBuR
zu_ldLcq78eUaBP`9-yl(HOBK1PI0CZ+)_e>EaTN&sX59@L09mq_B1JbS678#`93_Q
zK-TuS_wPph^@)Ujk!a;=8Um82C7(F=Bhk3&T>N{g$@^Hf&O{+feD1>lWM6`fy^ifN
z4Z9qz7?d0}5xg`J?Urg?S`?=aiT5Q$I~qmE7bp9Bo#kkXR2hl>6i$m0PmLy=iZ!CT
zT}ixalfbW%`b-Q4cZC@Q;`8mjf9ZLj39~Lb080-H5)%ly`e`15upC09%3YQeY|5qJ
zB>zHLonl2xaa_mbk%8NllupBxEF-*w1-#!VvDGRDut*Lp#AP($JG?U6Q^77T9h_Z8
zaB7B19{h}0=;i!$cr`Wh0Jr)iNIHc;5>wM%&M;R^kf5k;+!Z0GW+`D)AA1G8QB8Vr
zoVZ5FPEpJjx6F3WhkZ?z6fe&Hg!KMTEO1=>#ILPHL|!b9PVUc9|CJ~4N|ssw4h(kO
za0L4l?d4zsAz2Aa%)gTt#O3#0{4BHP+yDU#+DpAt%@t&R0{XJY5vMqr8G)XB@dNOA
zab7(wO4&Or-7;R12QS~3@$G>BUW%%=xL;ZXo?l!P!&8t|3j^q|{H?Te4q&4D4K0WR
zrz`xN#F3(t13>|gZ~sAZlF*wNH&qD9IT3v0?nat}H^F45(8gHw?(;(BYDxCP(1nME
zjuSBoM!8JlPcSl~j9^zT%gvgxH_B1c!5R
zhl*WF`R8+Q&QNj*NWb(CG)_`p-l4%+i6ED)VwLzpzni&i%K@{!p+E8^TOH1xi~!Zs
z2)+>o_iyBK-71TY#2q30x>JkHCd;~oqq#m1?x;Bz-wKhIFBgTB_wj@?mMfZ&1&^l)
zlxO_gtbW|dB~rUZvhu;BJV6@0g)fg+ZhSDp$Y3yyuwvtt2Ba=|urfOq{+SskIcDax#VfCo+8QR>kpte7Q>MH`IyFw9tPKwNR5u
zX$w_~X$3dD30TSM%<8ge!xWLLdB-EGmP@kdrfTk7p`Yp}$p6AQOjaw(*NJe|DoIB3
zP7?|x{4_q|!WwZ}A8XSWGQ~+XDtT3Z?dsaxPHpvtsF>iFkqt!k`b7v`hEiQ}uWIR9
zy_j&W)_SprdfvbaF4UpHW09_Tui^Z!06zlVF{+V2_>?zWvBngR!qT9%TpX|N`Vi6d
z@m7h~$GU^(bve^bGp>zUofS!)Rj2P2B)$lxnFRUq;)8$T8h&M#8x}Q9Cvth;k|Q0(
ze^6^o`^A6xf!6ahYo1iRz=ek7zPd$J?Z1Ys3g#(t{*}Hcl0`q^O4KdI>gJ&rgqY^*
zmx@y-uV&Tt2S7H`Dn1fams=s~gqoktE2(XQ?~7b}vkwm%PIcZsRJ!Fj+EUaU`DPmT
z#IQxCvnr#YzQgwRf6b%^KQs1LihO#T^t?N4OKbL#;SXN$|7}i!49I?-E|qOgfAOX<
zWxYA$R+iIrF~={kA(DpN>O=&Uh^3QGf8^)dZWq|g|GXj6s*ZQoX_x41QbGmg7iis$
z%p&%7Xl#?_BHQb&z*G0Svas#-Y@%I;$*&`$Ow=o6uC%>~499I(Izn61@+9RPkGdD~
zxZpz|Fn0R{EiQu~_d0JNecekN!f4RF=M{>uW*Soc}`>jTlq=VObV<6W$
zzvIGvRqpgnwQ#d)Q;<)`#tiO7?@dm2@gA?0AWO5i_`JtY-u
zzD**wRFCnhbv5I9Bl3c8-Q#}PBOiZ_t4Q+j=WR~O{>MRa5)pSBd_e76IP+^gOB4MX
z^eX7Sok?8P*#+p*zwPypi;!)!te4dpYE{IL3^VDOh(x6
z>HNVfRS_RlUvA^tXPREm#7gEh24r;RoK3hHjq5F@L97N=XNF$!4NXJZcA}5YU6#V#
zG1mG!)d9zzZ#>UZ2L=U?hzl+Fh;fujxTHS2fN3i_2A)g2>7hrhb
zvjP%#A3d)!zcwJc%Wjp_L-56Yb{muGV`=Oo4L3y$&xdA*
zJsG+Wg9&4YdSeUm4|Ar*A5(_QQm#$#l_&H&4nly$7#)QHRijyvXlb0@>SU}>&_Wn4
zF3>3$DY~~knL&zjTAavySu=YTbT%cV4=OSN$ov>wAM;*~ig#E&ig%b9)a;y+(408k
z$rA7>r=+#?kz>${3|yp~X)C&^edWO{DZ<%mrm~e_+ZSN-NmAE^)uH;KU=YhtCq#G;
zHujtLLub0Nxn{aNa_Ubl$5~NGKDN{40+PfQxsmyKoBoQwZa8&j4L#)Yr~8VdmH~A-
zA1d;K1-`>y_wA+Z1bW`obmoWVsd*nQ6Yvp`JBM7q6xON;Xw2L(e5_f}@yr@7mOST!
z28t{&nrjxOs-or65&h|LU$-L-*AP6_54SFkTZW-*=#K<@dxEbP;M(xO@4FlPBLN!e
zXUqK^;^!?*vM|L*z%4DoGd)@WggG&EIabcA?GB
zkwl$!Qrw-|FZJUGoyJc>fEcZzPkXu9>fQN~FDENh+h=3cH1AZ3Or1J0%1k^|d%Zk+
z|9U9Kr+Q*#O{>CaDG)sCbD)tH_t^}}m3R@gfL?5FAf{&t8uucXG}W6U%WmanAp)>SS(
z-M{Y`cVd0v#aie4s+(r(SJxM=@drIByO#c{LdE>eN5tyi<7=BSIK7w`oKfq2-euxL
zPeR!;ZQ?d_pV8*DMiCcZTzIwGNn~?wE1mnCaOGdckx64^+1qq%`n~=lT<_qz_o|fZ
zg;VBTjH{(&wpW?!RC?>Ih6_tlEFs~Q!4tc|23)4`*^H>PNu_n05B#Hsfmzq>Cw|6~
z9{0cGciSrJ9s6cR&;ip7$mzCiWzOglN!hpO0*|I{_CIx#O;gMIAgr-XSo|P6(o*)N
zRlq!H@UD)svCoNx)dgGqWy?)0Bec8e<+FCx`-}1`iT9UTQ
zTNMcZ8TzNe`fX{_7NUAZNZ>Oc4raLXv|(!I*1z|P8XwMLLN;R71pNUZ5ctIbVCfO@
zhFjb}SvbDGd-W<)ZBN=ty8P3;yD^H+qUNXYY}o)Zh!ffQ
zRWUch{%f^c&My6Ti(^1=L&@lw9Gr0u&i`m19td6u0JXmEIaG~LFT78mc%@bQQvtgR
z$8zpia3VUt;w^S*U)x2qey&SL6jkBEYoRv~pV|En)me7b`M<@r9_nYzHl8{$)cmV>
z;)m9&U%dIZ!UKYJb9L)qD^}&;Y|ccs2mDH1Z@Xo9=wfU9EGNAgl{Jg=G1y{`@+YzW{AiE$(~$pypi0U|;Q*psj_IUpjUz`;9Zl
z+B5E}zdQ&}x;2tB{N*SwCgSt^+VFNq)qtq_ou`kVXW9t;P5=BESDA*Z{_|NOy6Max
zNy#0?Lsf-#p>1${QjunrKXdzT`s9}4&dZFQ+xM;p@92Uj@0=P>P^#Oh`?H0guReBG
zXjh-0q0Y|q9Y$M3`9shPclgiazG_wF*2o(OPW{4;H2m?&5PdBBWVe|+b}Ud@#D&(Zxi#DZ1ixUv^KAkDKGY}S$e2b}GBmM?t|xK&p$gI!s&7SG^CH`j?j
zX|^Js5WAzGJNIc+e!i_cM(VMa5GJDz{sxyJ*7B(?-Ex%wb8G9(aZ@jmla*G%4PSm_
zH_*bA&$D{IqW0R%gnf)ad(&ZkikmQ6qPqNK(wYpK3TzoV8$m<;k&h^)n+rVKwZACg)T${6!{Ti=@FB
ztd8xO)=PpdZ|sB|o}TU#`?$AJs21vAf{}~*Pphey=6OK*k9Kq8raXJCLi@dNPHvut
z+^0!jUAwa{VqIu*bA4Jj(`*7qk_~$f-(5X5x-&5otZzG43dL-oG7IGF7L|f*qdt_+
zm#pn#!=5=_dqv?By&fC>!l(Cd_{;xj!q;9$pOM4-5F;qxWV`o~^prlV>OpNL4wC
zJt#0?1aWsFI%}{4icejKd)UXb0c%j`0suH0
zfv9ea)OHQ(5tO<335!~WB1vSt{xvGeATOL58i2O;0dOTUF$F}TU8tDB1C{tHIU<2mLRVO-YE!z@M4gDQ74&e7GL&Of{;=q!otK2Zo!2-)`m2;k>tp**JMCI7h}Dfwfs=m
zMCln4u$Pb|Oz!$7SgXiC>;G_rnQM6PY+v=lEL
z;ssomfmme6)kJPZwYp6PEba
zH&rs4Hr-ETi8wKW{MVd2%beS-xGWPVw`zYZ5NPLTc=`C96+W5`w}2CgZQcRD9dY-=
zSqC0Sp{}xD+>8_N9ZaHl|5ti(Yfh~9M4=4Y>-Wno&mzqknJ+;7!wNhv4LH^Rk(4X?oBp6A^>e~{nJZY3G1B`{o0=gLYcLpEs2qc0JZw^0`@`@_Fo@_i1Yf7f?oD{eHGQWu0tvy=B`?
z@`{?EnzEep*)>O*loAr3=cy322@mQZ=jr!HKc-R1Ar*+x%e<=&kAcY`
z#7XJ5S}8o!4>4}^CokXskX@NinfnxFO?H<%bzz3%%k8=cnj6YLmlq2>LyF4Sx6D{d
zMnAm@^46`mZ1Symt}$GpzV?r&?O4Q^`WL@e$5@ABg}npV<<>U+SKhx%3D1UDcbiWB
zz2c@)a=-uIen&yY`onztr;q=2cDhTQ=WwCEApe*&FsIrb-wIr1Rvr@%c2akZv&f_6*N2t8-)>KQ1&3XUe#8U57lFyTbP^^&Zj|RWot1jF
z4^{^ELm3Rv&@M~kScJS2B0U}vs5uTJ7)fC)062jG@CYJ0InaWZH{IlGDx4|ECriwzcME6>m}k?T8O;b?gJNJl@o!!+sB$y}Ufy%J?tt$8Yth_cM>~`206yc}U(w
zKL|WJd2VR%kf}vpnV7k#HFLlF)lAj7;kfYwT}ACHzb}3Y{SB}hRfR#H8Qk!Ni#Dy%
z(5!D0BJ}}_@kCtu=2!w|F6B}(fB4p75*8X*&8aVp6{Hvgxo$Y={&BbT#)_?KipG-a
zn=I7}5!GZN6Y*Ly-pa@|`^<*@8xA$mTXlLGti~3p6b^@Vvia*}_iRJiTbIL)44!)A
z%F(7a5?xCV+%gnJgG6pR`G0sG}{T-`Yt9_3NCU?4Ri2Xrff
zcQ~}YJkvFj9ooDJ!K(|EYN|?~`##0Jzj0@zbk(1x!ygX;vg>AYvzF#GYO{{j%YmqK
zQQkhc{+Z~#yWOEh&@;#e=uE0l_@x-*CCX=4|GaWz0>>(pJoYf~$Ld$T-h9HI?!4%Q
zKwZw88XwAqbqhZfDB(rE>iO);2R&j2*cA-ztV+N2C|L8{DG!Ev=e7w#qr~U=Px14E
zf>1^h21B<5k28}SVey9lb_jrm+%}7&*J|KfC!)ER?#;nx7s@*2Q~JVZc`!%pZqEjJ
z)q6$_6GVPI@oF^FW13QX^Xmy>2g#fPP4^P`Z|Hp-6U?&UFvfbHMNSEy7k`n;pSDBs
zYb&^!um2?N=GGX#e#cdpyJTS2y~0DAG>^Z^Euc25-T$J~%}MaB4XDeh_jBh<37@OT
z!6YSHdx}a-C4XL~vupn%3Z-aP_XS3(A1v$6@hJ-jLDl-H38t*ZHl0PBS91X~5!vF9
zhbS*czKp9j@aS0@>9QStM!ES2W#;lz9a?qy)9jNqZU<$$AJDl*
zi}lsVvFSdOZ+Kq|X01WH8!?L?BN{%i@bWTX-AQdkVd-irJr4pO)aB>ym^jUr%MrPj
zz^Tue5b|`*SzM{*!;4e6Ke=)MlVkj&z=ZN^SI%pC3n!Yz;lN}bQf^O(2LKGu^t*Bf
z<`UTtijxTcb)sW^J5M|(PLOd695HLPCw{D@Xb)AV&!gVjpz{{-R6EeO5^=#N{mC3S
zhGed;9At1ck6u3s&{i$qTJD5KrZ`9Bq|ot|Vi93jXLi^mm-*14bpCUo!kY0=@mebipeADTB(+qRN;?&-A{b+(!)N3Q2h$&I1!m7&QC#T@DrWw
zIkO5VWc`^{(+2jjA51Av9+f{Q$n|9su9P2$iK){CC&VGb+3Pf67#?=j-hl7VukoIn
zdl;NZN?^z7)7XQkEXsipBwzsr%hzCvs=6qJm+*Ld0LD`cK~>7R
zb9^GZd}eV+#gJ({q1|l6VhUE;0?KFVA|qm?!>wSEsO%9jO2S^OkUU?fp>M>H!YyT(
zpOsb^OGesO
zUcAXfE24(hSB9Pjai9J(L;3Xg&xUsdjZ={_&B+JZb}1i~ZU8$U{6E?(b(CBrSYTE4MCZPt{5l)Bqy-LByTcbHs-x8Fq<-JCpe5i+{Y4A?l8qx+f_j$H
zi<xiI9vo68@5OIl%_Us-Rv|2>gbIus-y8d-V6WS(A2ZE7G2r+G|IjcF%q0S)n7@v8v9oW7LaQ8UR$y|WZdFq
z;_n57$YENpgk;(ga_QU`aM-S5hprO+?q2z!!*{-|gWD3sw5Rz6W&FU>d^AX-(*y{0
z9}@^hs;tAHb7GwJiSm%QC#%AJPr+96PUXFjaf|Bv?SGggc)I@j`yW)khv%h(w15Uz
zq$DwoNlQ&02>?5hfa*HWV}Sgt0su^?Iz*c_MZg10`A?%c;hTV#k@A;afAxVU*kHeU
z=(UKNPwc4EsOF&L63me~NfcO7p88pwer9k6p9usaiiCXAp3
zF<&W&=wyS6{8$7xB|$^WvZoc9vbV*d*MW6>wdq@vv|m7;^beM7Sw{kL&{6
zuZ2QYxvp%0x1jNoO)!7~V@@s#)`dRr5jP`<6^oja?66PBnD=B13-&rQpqP2o2hw-Y
zh0Hoxm1vJii7N!IOP*BLg#fy~q`R9nE!ZsCDk$R$jI##bBL-ezu$*HA)){zdoX0gc
zC|naH@!r8E)334Sxy%N$gwL}y-{pSI3S1yMQbW?R^3$AM#kp05kq05=%ebL2!E-J!
z8!~+Ehd0Fb0;E{*r7-I$GI)v(*UN=b=rG$3>ZOGcTWc&OH|xS3me+PUY_5TpWRNrA
zw38rg8X3bap7Qs5CLR~rq|7bq2D2p!Je|z?^D}uB1~-#qWm$lpnrE@23sQ=sWI7GS
zHv;Clu@6#}&xC=TwA0a0wWBTZGpacC2nvlQmP0=4*9}2iI+W#Tm*sq*|8Q;g(_)wj
z9abd@S3xkl>p-qUm{6poT$6*y3Km_Y+#${-c`sks-B0G0;ZQA<4*=Ym{q#3r_5ff&
zEc|2Zb&lCAOa`^&SdDgA?ueZ><;gw%&Bazt)xJbP0?I6Zhgef-nq;{B4(z;(pITTk
zd;u21U^ycP3-N+2>lFob$zD^_4CzaJ1Bs6|#@iv_|C$8Vbmg34)$PxM42Lpu1~F++GU(pJ2fLF3gajiFpPZ0F~&xOZh7jB*~giV|t@JOr6L|
z%SFWl0F@5L0f5C0h%6`q1Yw*@(tC!0LVuk;1X)Q07Z{)o1Gb}9@X5ZOM=?w$h=iD~
zbH0kzv8%R_y8(dpun{=SH4*bGrc)fWb%CRI8+3}R`$p?8MKub!rs#ZQWnIA3(!s+6
z4ddLbJ@LBIz3Pb4CK0YgyCWtk=g`37+5ojgj*!8G9y2DMDQ(qcI~{7!*hFtO8YI*+
zDbp6Pz87SH0I23Wv(4&hKzYeHIOx?xMt
zubh_#u7*??w6iuaw`NBSr0|faJ1BK>VS+)UO@grLjaL26*6zEorbt#@5azCSD-g(7
zGls{2=(rs~fD8|8t|BYS@K^$CyxiJPZGr&AIi_T$=Ec(4e34uT?JP)U4oh1gRXQLz
zA~cDs@XbhGa(w%5N$$Td%uR_co{FF^v4v$Fk<m(umLxIv1oQc1i@|@
z(lu$4w6s?@k5#I1SHUGqq+|rlq!+bd&|Y<+z&%k?^ANH27_E~P+AUtfmPxrch&Hn~1R3!!KkJuT
zM|iMtr(PI%qaeMzAvhFm=J$*1Tr`N70UvGSZk!!V&>fh4pI5k^^5i&|M>O`qR5tlY
zzI#bScC74jWrp<`(g4&XmexGv@FT>8Q3J)oE$87sR^bky-_*AEn;8lJXaddcK0n(K
zUvCh_|
zd2_CU32I{&mJgjwu}AC=(_08$AB1ZAhM^{-9DM~ZRb$^x4e5-)1J_#cN4pPMIw30b
ztOZ9d6E8W(jEQd5g#2>v^y3+-s<=e8dnoo^@0bUE7jY)k4j2|;GtYb|Q%O=_&aWmF
zqK+cE@zK`AvAhgfpD8u|W5<798h}cEIg2%o@&A3Szw+JqqRK4Rbp{GS$f4sjEUKlZ
z+YsxJ%jCO!bf_(Zeug+ET_#Aq*zbf+f{$blzLe?xlYG-HYm$ku^7n6`r#YHtzZ&B(
z+-#BaP`hhkrWWN<{a~CN^A?KbgcN)P>O@|sqFP^$;f%yZ^W#eOoDw0LpBGfU@{ZH`US*iYzk?^y81vOyi
z5O|9b1$W3D9{mN{1;RB@tIjAOatC$(FIM41qHXRi_P<~)`tkDf0kw-$6>S3VH8Nx@
zimV?s^tXJOi~=XcbxE)b5LI|2+K`y!N^0WW7D^m2z`BVC;sKqZjn(?ncPMFIc9
z)3fBpwh-J5KPHOXgcSl>~)T*zIkHhED->C{w;Ik>yhu|u*u_Nq^?{IdAyQ+q9VF^J^L?Xy+)GXIj#ukOd=j6F=6Nyt|9kAHm<`&iUB
z>zVyh+^Y{EbVP6}N9_)YBKn7R-%*<+Ry`}8Z+u-fy{O9*8A57hcS+2DjNer{>zM2$xqEv~MS%aBV
z5qyDg3t~&AIVh7=Jv_}K(S$7SfFDk7**U+!&tWGDzWAL;eUHAklf8S=|D?FUH0lVe
zaoFH=0`9%G1MS?oihhQ92DLtt23^Ql&-u@+d3jNEBvc;$M)tM2)}H69*Se2ato&Dg
z1kDCUZ^@2~JAj+69XB&1K&bY;DQ7rph)Dwgg7e+St0&<>@bU=%H}}KiIF9N4_k{Lu
z7ppaLN|)=q_1+oF*(%=|W=p%oi#5uYMqueJ8+L$+2dmIwryIa3Mg|m8nY4)rr1r2<
zhN1Fla9Q}U%+K{`YN_vbQht!{b>4mfu0d_@Jty(H&#RL${u*iXNjYC7#Wo>jFnGtP
z02%h);0}Vqw#w3a-)y-Cgu%=~=0WIwGz*oAEbOQS0^xy@6K;^ID^stV-1aL1g6?F0
zq4~~6?{C-VysA11|2rfEPnQ9!K)7KCEcjOg(+<#xe8C2J;O5wiVMB&9gx+coA2uNh
zsmPd}d#{%hfxJ2-0O+G}|8Ff)#(BKh@{K_vD5{khH*tC25#EW)W+>t(RbojDiz!
zpPprF&kFo8vi*Fa$M4n9c}EYA)gt$G6FuYk`sW3L*RJaG*asdfRW5>h(Q?@UA>B63
zPMlissE7_8w~`OS0dmqG^kpP`+6@Sc15z*EdFPZZaO_!_PY>Pc+1(?*{~lKG)m(hx
z@u1&NLNQ>cP}1jI(&St8)rzJx!HXCm{aliJ>OEdPkhAe|X+%82#jW@p1BvUAAbj@}t@qH3OyJfLZe
zBuTZ+#vDTulIEC%FOr06n`2UqR4V$6R4SE@ADup~UDuD-Kd@i+zP)a*!{hn5djxXp
z?wPw9SNb;=_-emnxtno@Z5k{J2W4>kq+lb;dky{4VI^#6wpoDPpTWN{tmW~fi1)n#
z=5qSg^?y#Ho*lj-(H%_hG_pC6+IXQqc)8FZTkO){r}RwC;7l*Sl#laOJy#uKexm{H
z6lY-a@>y~2+eMRK!SAQyBYU6ht4U~e&^uk*>45Vo(9beD8UTM;V)eQj9|MeHw&85m
z^1KC{Wmvq=>8JXHO=)lf)H^J+*c0A4_>Ak2&@)l`>B$Mmqrw-}xADhGQF>SK@`l0l
zOujnoR|abPg7`dN+dCDe4m^&sy>EAS!+Y5B*+UfWCAbUrL6*}VE+ATeiSM^WmkE79b_CC)YJpo!tv&Mi1m-gYX~0Bx10
z4M-wm%4l`4FEwUkC|CAUgy&ujC(jGw0^bFlH@X!LWgBZptq*VYkjMf=G)Gx_rY78~
zb^++ivW@9lWLYJJf6b73ZqMl6{IlIgkF8D(m-Bc?L(v~(YjT*)9`$B1*w3F*ybmga
zCxMus?%9w9#{Z7p-`E;Gq?mEr$T<_@C=jzsWbM
zD?J`-b8f|{(k{gBIG&M%Zok@YRzw>yUJMRN56)wl1Of9(0H(o(SQVlK5NoMZY1M$+
z8>1(8{nTu~OwfEddjrna?`Dq#qdo{OpXw|j&7DzFuFb$(QB#mVdBiGRJ4Csa>L!lh
z8G6KIwZlqt)w3kb<3>`P<=1Ta!1B2=aUfNH=DF!U^A*T#@Z)O-gvl!#G``Q{1l%Q;
zF#79rkzLkQ7BrlWX(V#VEB?g*f7IYdnFd9F6w;UuE2AB~Q#smmDCqJ5svD*H!^!>G
ze@9!7Dn!;lzV&!`>#HJQb2V^UcN@;m$1ohzc9}qmcF&M@8CZgtUSgaZ>`o|UfLunY
zW+{NPr}xcEb1FZos4XYdI8T<#&t~i&z83xAnC)6y$pYNLcU?1-t7u6z5n}
z5g1c&;KafX{eM5y*e*I*@rOt|cNCK`wcRrmWM3I23uAfG;z7dDwMApoV!!NwqzkqO
zL_eQ;PGT=x_+=v#2N<3&a1M8>4Xds6EYhxq_5Ce+*1nj!$<}+YN7qm+uskOh
zUT3=ldV``45)=}f&No;82#>w1c9VUyZjWbQLeP@#K)q4{AR+Uf@9QJ8(W3gxx_VhEVK!TCKZThraGy9y)r$r>t$r);2$zzN_fWGpv8+d0ce-(0*vb}!bX2{11*FcA@Re2=MoJ*P9x8UR3Y?A}L
zxq?Qunrimq`NJ{kq2X1`nVnIY_2u1Tan8#|y8`gNi=_6wk=wWcq#%~}I0$A}2*2>N
z%96O{tbHzF;CwN@;JT^2_m>^K4a7g^c?7s1F?~?%&};D0YTyfwD6q;4+a;T!LOBL|
zC$+KsAwOMukaMI`X3Z|mo0B&*lOF1zb%cKo4fc>I*GZ1lJI>&#n+cIZwG0?lkEd0>
z>!6Zq#5!~*@eD}=qC4XtVo(O{clBRU_l1|Mn2B~oz&6#vMT*T^*WZ^}0N2W&TDuPM~!aQt|{_$O`zF1@Hv~Id>O}erc@9OAaHEv3!{-kw7SvUhp=nWMR7e7
zl@;pMSkWnb#Yr941;-m5@X2k0wxD(HifOBp7#fZS2SI^#4UU&MS7Dw845)1*Ky3wV
z_u}cTm1%I=z#9ziami9&mGDgCN&dzjJlml)0MEv
zg|N0@muo6l`cxngV_2@8n0*n(pb?ftx`F>;9NI~d$nR~v-?=o
zw9!;uPG!ZB9z@(X{^kz?|8B5d@OfCx8vE3@7CQ!8djMoE6$ZO=wZ%{$BDAy@_GU-r
z)8@X3Ig2|&n1L0hW7?Z7ado*N;
z4H@!=t+rG0u@_@{R6pjP8?g7AC-A(BVNXdYTeAl}p9^zIn*H|TgwdiODZGEz#2eE$
ze_=c}rl+H?-r8mlDb$C>3hoyO{9-@%^_+1TwXv?6IoF3!f}L==fqfuZrq#`Uo0ca0*Wo{RdA828)1wOa
zE5T|}4|&!4JO8hTYbpEcVeAm38ull43SeY+ai7Tggz`@57r{!
zdf@pR-Qy^7(fFAW%L{Y0()}?J{Nfnzv%f-TnyHOPNhj}N^w|OXBSlVBn9&FDv)o{|
zSeC-)+L3vCX)v{pl6V=5_&s&-22|7m8uYu;cd*Fyo2NtRk&h|3>0aX411Xs@&`B{{^-ex
zdo`Qb7M{a1nEA1yOj|WSnEIaz*m?i?@($DYpi+aBbE*`V!V~5!$4ZuSm1{PSdQ;@q
z2mY5#$Z`!^93rMK7Iwykn|*(nqC9P|A5m?t<}x@L$HlFdk(z8nkl&vmJZ_iJravPh
zPC2+Z%+5WN%)89w>4fv7KJ6=JL>aAVBK?vnPw{9>;C1_l*4K&(T44Np&rX*2H(YDI
z7+tZWZzQH*haX|yK2e6vfYbuH;jt4F&uXrE&l${Xuz}n&yvt?Bbv-%i+9yVk!e>KU
zOp3+^{*r10&}$_n5B}#|?$^z=4Tn+C{sS6zTj8zR^OH7V#rw2I&w8}g49q#37i`{G
zty9H|bhlI@*B1=mKIu0l(Qqac!mg_H7uOjJc3a9F=Q)pBlpJsnzk%}F1G7b>9(8dp
z?T~PRJ;mmAduK_Y_!tuFEkJG++8QD9eBM#lKsJChmcKDzW@U9~`)V-*}{hZbhAD{L?#BHtYF<
zEB;6KF%PUvU3j-oQK`|#Uo}Pm;i4f}&2V5{CV{q-UCma5bsI9+lr`|?yQZB;PU${Z
zUP$yK!-3n^vA4vChYBw)-ZzK|vyJ)Z71@`%tEU6&6F!%JpdzL=*RM^fg~U@MfiJGI
zEdq0y#VR{Oc!u*z_5y3n)#$tnFO%-o?g=|<>IT!W!{#}Aln>ay+!hnz!@IA!>|Cmx
zF0$g{+U+`t4|`UD%uSO{KUC_B%gs%rJyX(pJDdx
zHW^}k2<<;G#u*~h3qk`Rd4QFHcFSJ;(EUS7N`GlD1UOk(?}`B?rJ!zP~D#>h3LnCA)m5W|3EL|ndL>7cSDA5QgB580gkGErkp@s;|Bc2y8Z*QASH~>r!
z$#_pfE8MQ=zE#p?axTniZhgi=q%k4$z+l&Vg?VZ0Bv-~07T$J$CQjefXH1Qdt48wK
zJpi@7(&Zt
z8CFNDMkcaXm5BZz*)(9dUz$Ah)ntC?aN%tZ?PRI}DZ{b=c%Dfjaef|IvqKh*dxn0-k-m8Lj>AL#v>kw&~*j9V?h%4{$`x}1;*rzH%
zvh%?5PCyO~(!_%CS^f59xjt#ZY(g%<9&EJ%w(;cWiJNbievA62ga4PqPo%)%jb}z9g3G8
zp#EJSl7w{`&OxEfCo;fh8I(C60E=YU=#v6Q27-XHyhJ{QgHDQ+J{@0|aXQDn4h24n
zH8^x~W(=8ggKaing*(Q!(9G?2#7tebGrgV8?FRPPs-5>|zgZ0_4#RGjl~1`B>TiUw
zKD9^cfR6=WO~t+Mc;MA`+3+wG7kjWi(a~@c&P69bHh?XvCHc@+9NTjJU_ZR+yY3jk
zj5o|5@o#cvbI;!lKjqPM@DU701e@$rZl=K$7~2tP9=lUfPgg8h&vs2N{L?#^Wat5D
zdg=zCWnxLNU1$rPhip)C0DBb_AfJor1TQIDY-L--Fyddl?$P*?vC^s_?_7oS&jJAH
z6h99R0GkJH+aX9p3+tIT!(QRJNr^*q8nYjt6TjZS)w`Z~FTZ=pmy!1}<2mv82jY&;
zQ+K{R9oQJ`R8T0}kY1*v{b5jmg`jUo5Urg{Zq#(oDV{fem#Lh20>*s((I!mMOGCy{
zoa-o|&C4>W;_qudJYASu+uy24QgT(@&q4xIUZ9{z+{;=2*>~M8b(eDSwb8Mbl;#BG
zfSHum?UFGMh(`UJD`YT7%#jP{5q<3fG<-t!K2F0BD05g9R|vJf=JSw;+ckw(8I^)Eav5-s=*F4$UC*%Q#P+SW#Ie!D%>=G
zZ=&ZErsSBD`F{$>S65T13!hAyI{k__);`60Tf
z9@_I?j_Fpf9-WSwoD%BvKA6YtBBgcH{|jT1640`X+l(t}X5mT(aTQ@FKh{6Zk%IwX
zIb~_53i7<=As`DZ!$0d{Jto@=M!%+4TFOeb$WKmR#td+W)6Tel-&FDGr7+nnCf?7xm<;bR5&-sxIysth;Q|{jR2ze#_grMwRra
zlm0@i37dLIqJwSmpqDoL&zXeZ$~lqzByOe=^8MDZm$>zxQa#zn5Ht!H-V_w7Z%Z{3
z?^mudDGxQ)tVwv)3c2Dmv!;={n;n)Ae`JUF-J|~nzD9qUYgaV@y6TWAVC>Wzw%4s`
znRI;8$Dw22W#x2qI6T&&0iav;kHfcB?K2ph?^SD{%7lfOjuH=LoDLeo=p5*7uN~A4
zxET5=?|yx65D+!{QqDuG`aw%2odku!7PxYA0ba9ml
zd}(j<0~0E&xEHu4C&*7UqX$&SRRJ1K7NuL=AajDZ7A=PgFX&M^zGq$Ff&j#1*p|p)
z@yi?^Dw(UBy^!Um-YO&G#z>?_YXe!+WR4QO4)iDxHybQDyeSv4!92IW_N|83<3q4k
z(w6MZ*B<+rhq!P9ri6^LO!3bn6~ab2T5_yMz@NkjayV
z0Z3FtF4E)TMVkZNAiz9p*~|ReM*0*M`~gfd2e*{}6S*ghl~@=FNMto5Cs{ITdLcM2
z4V-srv7`MX09+|7r~7ZweyVAC`>&mwGVkw?q}tZ#VX`caho<hX=N49**_?=w;suk&Vrx&t7H#htJr$B=
zzqCQPJYWKKeb473yyypmNwSQho!N9+%Q4O8p!09j$c7OuZrTTiXIxRNwGVE(%?oKR
zA)&mbs%-jM4O#7!VSc{U{v=O+sYgo52TL8kYgplTfT@z2(&IXBfZ7osQxt_>f*adg0Q=l9tPx
z%xg{j=`Fk0?0Mp^mi8~}Hgb&;=Y->-ecbVpde)q|sS}#q93f`!Uj$HC7pRogf;z1%
z$+6$_G*Y2};ha!m_w!uRm$U-!{ZmwO^0ad4fY89Yr{K+3dOKCa>AsZ^Btu)0g{9>>
zu7FT?Bj=4G1a*UF#k(OtMQxlnRsaxyT@btI3=(a-oGy8_1qOAzel_a+<hUYeimfJKRZBR%emTQy&0I80>b8ED+dn!*2AVPo?9zQk>Qg`or;bC#X
zo&DC3Tj9}!vyb~;n}q-Ltj+n5d}L&<5sF8!;y}*N^(S5DBx>F{f!GQCn6$|t^%C!~
z;}>UqJsdIr!#A(h{`cn+*KP95p!_HtIy0;Ejf7;|G%DUwX;I#_obR`C|H5Qtq0Xgo
zrLK%z8(@!~%Th@qHQ$SMX
z!Q9+pPE+0N>c26wvuCZZT`mrPCmS*Ywe7|!c=p)myxb>wrbU#~R(_?I1hEsG4G
zKcNlV%{IT-oI2op!ZhlG^;NX+pj8tVW)vDn?PP-F1DFu9jj-8M(KQbI*+sD>O~!aF
z-V}8$Ap@T~F%a0_OHS0rv;;l5KDTNYh=v(j3z3oC(f*B^bN^$?0S$iH?@U3@xl!P+=rb?>&
zH2?&Vh=FL#5KfbhQT#%?*$Rg=MlF&K(E*)#<>4ZVo$*TKw$Bf5>DoQKTpd;+fBvP-
zW-i=i_d)&8-7zv{E03T6Q&=1!6(BFUnry!e=5nP0yTdT3Im0m;_$Cr1PI~6NfBpcq
z?ZzF)JEwI=ap;V=#@lRmDj$ku76MrRBSjRg7h+i;?XHH*XID#QGUsA3gBn<-eHI`A$bG#%hd|
zrh%CI06Jc-)mW|V$?{>v54`9yFm}`d=4V#iI(4DjbX)>b-2jju;5J={JCloG7U-o5
z5_hC0I+6}XZ4av&Sf{_%c(SaC7^5UUA30;i$i^a6CoeRSgY1A*(_xRzFI^+%sRJ>u
zt{mwe@z5#emgL0jTp--d<$0G`!n)6zur8C@6#&QQHKP07R}BQ#!H%hA;+H$^MTvpe
zbspanW(iyrA2Fe
zC}su;OfI+5U+7T1UX)+XF;Iuxfs*Y$%e#zH)OzRbfj0DP7YB+IfLv5+>G{SQm6e|z
z;YV^x-`fZ|>+F03po7k_n8!K*Bti5ZW3+}xwCs>q#g@&EE_tW4r_&c1lr68(kgd_KkSWHiSJcF}p(jK*qk0C!6tiL-T}rD@LqYfBwT*5txH17qjm`~a!G
zrg!@;K8*<_@pCnSXxWS_kvd@k1@;Tdwm+XTbyrDw`aTVEKJynI$t~}SUu43lS)zMd
zf0e#)8W1m9xFmSF9Kd;~{%7B+0*o38A{k0evVnc-D{{r&x(ma|BdcR^wp;g;gC6XE
zEOfYYod(jFoRuPk)diZ}QZNfpTmyiuNXoTh*38>G3M(wNV&V9qXH^AEnD+&_GLmxe
z*xn1&lLE3%u?oPWAb^oZF~xih+=Lue3*Ic={0TOv<(kifu`651-9@Wr7ojILYLc=&VwM^fq?{v?N`@MtW6(z>Rp?MM
zT_hC}Wk&@@eP^!G5z2;*mT?pWl-)=5vdLm=dSifjA!31qO7T+N*rR?jCM^z-_oqWM
zmoC3$LhYF{1SU>Z02*$Ts{}1@$?_3ogE_ESoCwn))J(an**wvtz%k^9DV|_0hK;Rf
zP|`Zqx+VwjPwBO%{^v7I&{(n%i!9be1mYB74vbAUEDWr@
z*Y%uGXoy+y#e!YHfQutZ6DyEiAYm6mHjS6nNI-Q9Yc7nX`X?r|nCDRMW8B!1FuRFN
z>Uib7rk{-txaD1;I+)~mp|h-@KMj%iEstW36Gbc9L_EKy33WGT>=YCjtg
zitocSAB)U+Z$!mKkC3C^qqt$hYWJK#Ts2vvSly+~2uJ~;bT*lC3(A#$lxkYYr+#_6
zo2i@$nJ5}3RMje&ORu1TfN;TiGJ3^5YjW-?@$OVo{cE}6jnti-;WiKMyse&k@+m0ccc
z@qE3gaQ1=b2<;Q2hyjtgnfL$j^G(7n%@v8X9*_!l4O7MvS$D{Ni&1JBm)-f#V@Arc
zX5Obmii@^y&JCE>61U#@QGRE(@D0CX7wai0N7wyCT13b@i
z9l(B3I;E{sXB-cwPJw_OX~u@$EM5BvH6VABtNwUn@`u>`z=n8W!+#MhKn<8zk~(07
zc*LA}vpp%HJp4bkQFX!7i)BxvV56^f0)n9if9}8Y8h!T^#^`7R9V-T9E$6u+{j&7~
z+V_J8SxCbu5e9Ze1-uF1kRr8J)_{JQiXU!mlcW~8gBOgV-S6G_$qC>Y7Op>z&~7$5q}~)a?5>-1Et^n1&Xk*E
zLZF?A29$I1qZFo|rkMhOWR1>tn;iW5bKpx2pqyv{Jw9h$FHc>j#;APM#zBlU%Y^98
z8Pen?JM1iMk$JAGKj7sSTEGHe~FuMzvp;LtgUEjX>Jt$mq?bBFg#_W85b&%Ze^vdQj+X!Qe
z+rA`4?sPiN8=_Ops-O0jANI?c9SMK7JBs}B3khy;TGt!I?C;5Y3!m$^RqkRb^!k
zuyw`fS_)`*#zIf{h15}g+DONfvs$UH6j&rLdDD((n&(lvVRvSm
znI227Rj3mtGMaOb^CRoFl6Cm=cB&67wMMPv;F2si-%L(`Z^h|^fd`^V%{b~nYsKfK
zf6I4pE3R07Zk_N|VnNqR)g)vUZ(-$op#kr1@Kaid6WgMplSFgryD=;KSQdarSt_XH
zf(6wm&K5xf>Ze)j&$Cr93zHCc$=HoHx$%3@#T9NkfdBM;n1s?<#({wr9{G~5awm#o
zGi;s(VR-g|8`C*v3`#OcU^GK^rB&$opC#Y>tQ?SEetPgK%2k5_Qn3M{1Tdef)UWrK
zbaXzAED5iC1?fO%ElKTGG7ns1w+02%|yK
z;i*odeEyd+@YLq`?Tf=JofDQxMr`@hqo6%HIZnrJJf6tsTgh`0`-D$A9Dugp8gUf!
zd5szbC+=#4nLI~>C`X>&KDGS>zs9}bRLHJXtCd(SH(L^W%8kl|I`(ocky+$A
z5wT&hKW9!oN(ld&_wf3Of$)q|=O6o?kXbnJjA^`B?IHZU-YYjx!t{|L26wAK0_jn=
zMFslwfsk^soi=#$WxjUy!fe4`e3T+J_&l-W_@>m4X30r`*8Y^UI``d?;Od^wS?H3L
zI+
z=LX9EKP^&6^OB@5zP?VFzKUR8W!q`9+e6Y4$Wcvj>w*~cw0e_Cxnam)Wn$1JzXrFn
zQ{Re%Txw%LWom1ifi}4|+RJ9Jc2$C>^-ZfVc%uEJ(ny_VH;
zBmaw@sB%94V@-e_;rzVfRK)YkG@9cKWpsXyxC%@6~g?_)}AM$t|3JF*Dm
z>+IJ%9th=d#r~q!!GRdOEi&R$ak~~(zTgVn#7zsRF3(f7Uk>wASp09>qzdIVu?y{q
z&)r|DJ-a!-UTo87|FTFEKAVd)LJuqz+W|UBB7>Tg^#2+0Gb;24)K+3kz4d3&BLZSd
zlgpWBB&#cIb^uZlC_}zfSahU90q<_8;A{|bs#(TBNQ3lg18E|K?W+tS#C$%?f2yQ{
zwk&qlyhfXGGfzSz*Jv*lw&g>M^pIBHpaNy*aq-u?6~xhYemt=5Qqo>l_rKe@)lFBi
z+ktucst8yTPaY3cvmfs|J}>d6S!FlE2^X=UPu(ukGM<`k{l)GkR&NM#d}JZ?#&-Bx
z#<{2u)sTV^KaqdWxRz&bl;yExy%LKIMuRF4*DmuUl)>Uw1+6(7U|#V7K6e*lvvEX0
zDU0|-oPcW=EyZb;&I{cY3Ik&b+h39q&fl<5vpd}vD2ofjHf`#TphU2Zc-q|K46nTx
z!?bxJwG>?$?-Cnhw+{&A0Y*!1u^O;0fEz=%!IUUOD`nggrlEma36(72%MK9N4*m005?En-0~Mo>d>qY|8z;)<
z7BBCV`B_5%nE7vz;LOf6?f>T1Z&zD&DI^Wl1N-b+3*s(e_cOe^FoY||jHznC2A3e+
z1pLN=`uP)a0m$&l
z7<4=$?!94!o>yn#frE_j=~U^!7(vd1mR*0`KF03kt0`O;-$i?apHBvu=te4-F&kE9
zCMH`0u-u9m%?G;+i7_{0%baa1wDDPd#Fbf}?76aPo4E#T2SD92j^?qT6?>KCUG9{A
zE33E}EpJX=N=UENU`LFiPL_$_H$2duXmI8OfJ^QJc+%{4bJZ$2N+*zecfdy}+TVB9
zZjKu{b>@=N)v!k*-u99V;f`%|@X#i*K;J4uUVao;s!>K#_bXEXF0GCc;-8eAy?#W4_Xx^~4MrbS_ML*X_rMPR(3<&0w-0+J-MR|wo$O@?{}Fmjc$wZeqA
zl#zQWab(f%GNQMf$^x-;8zQ~t7@4Z{vbYBKfPY@sj*9e7%e{$N0_k={J7PS%wMYGX
zkH0IelX)vcz|7=Xe9Kn^&^*_}eS;Y-D8!S{|hvK#q~Vb0N$SMbYs?Ro-T*P=zn&;4zme}DAz
zyF^X4SP?b5SKkk?GZ_@)_p&65#nGi*igJC0*HHrfmBmHoZk%KU!e@CCgV)x;W$S}h9le<^f2bZdXbfk=;-
zd7RZjG<{oi3TfYf5J@(hlyRShQ>AcZwHPuJA%-|h$ZA=Vhuu0NsJZ0GWuysAdk*-j
z8m+YX(xd#@{m=D>??__gx2f<|b*;HSG;(MQta5Z2`+C#SM6e2p;!*+T{FVtEaR^3@1jTWg8UaqcJcxwl)Rr
zBvkw)R&f%p*%VNz_;EPpP&StV@cZ@AdX-H$2?5?EfrCe6X#lJZK#mIFw*+ucf^n}P
zOx&$fgxI1HR;gYcFgydw|1CVM%3#j+cnkSoi;O6>jMvH=TR5oRzkCnhi|9>K;B2@{HR#
z%bc2}Bk42hDW7!?ly}^}>=o~;_v;?kam-#fCIc?=A>mTcFnmPw$38uxcM|~|>tg6?
z+phP0?SYn3`Wqfucc!_F5?g~#cEu+_E-7S*XVftua34P;ouKoCd8)P>m&!blo*Px#
ztU&0(t(Lb`q;^@e&nRl|S8h07Vb#*5Q4%sP
zm{XiJdi4c)H5qSIe#^qx&ZC=~(R~
zmL@!5cm?@|uizZrg^U>&NnpxW7Isj$^=GfWX%;?*Ev)o^NJoX08EW#;2zyze;*Bgw
zpoom=qITnKSPC16)p{e1IH96NG>wSHPcmb{(b6OqxjyeuU;?aEg6yKZH%pqbOaj8z
zY_5H^toDJ<=b!LY1ZOZ|X1+g$d+nOo_}8uQ_=krw95y0c2K=CHwNA3=CEv-oPRX_3+1C>PyFi+Glo*c
z6`bK+ET_#Ikg%B#vn8c{lxZxqG?eLvin{+COF_|>n)Us`R}dGo+F^n@x3O;)8*+y{
z)5-UlDEz}~@J8BSK+)!dI@AZXlPu5f#r=pc3!TM6LGm3cc)|F*Nh~JN@JgYV?1W9g
zS&HWtk;(%9PJ4{j6F_4WkN*SYA;Ek4NZc}d#EQh4L00<0rQJxxt({T)#=n}!erVFP
zk@Wr+o3aCQBvfwtTxPi*-S#b>t!l+$PKxmDz0+Ea!CM>ghuL*s?qZ8Oufc>0>1RV5
zRB@Y&RIC#@w8G!7kM4Z012<0zE9nbS{D8ZE30M3*aNeeO@~yR^Rm9V4M%Ul<+XaQc
zaou*O6W_%&YG`V}#yned#S501PSO4bWs+yt=vS29PK(Ttjq*FMVlnsuhBcmzQyZ7j
z8z38|j=4&b6snnUwRd?0y|`oqYOh45A1j@gq=(r33nQbAqq_#)T35%yb(HgZ8#Qc}
zwwQzC5IxuqBD|m3&Jb#*kEsxGCv*CPhL7y8v3rB*$I6mbnlE9;vGnFy+_WHGO8rqA
zY>u@0oKK1W*1Y)m8n%z68AnDEY5flvbt`~HCgy#jbQUui4U`|9Dto&W0T%<3rlxhPOJWY?Qb{FKauY8BV)vwxsn
z$q(aLs#-J*JlgNd)U;tTTI$3ldCdW13Ll%I_Jc7np?u!>j#o_gK$%@g3Nu?@zJny?
z!`+AVisNJ562D~|Yv}dA+?B<|{K|2-`I~ZCn1%~
z6-y=Xl}veoKu#wH4o+B6l*rziJodlW#dRCm$Mq8*E8{Dyw2QuD+@j-dJi#vT_kTEy
zEoSr{rvWB78#=J~VImpvt4kjh66YE^Jhs8N|4
zWTf}ValAt>UTJp(Ak$1Iv`Z=xc(=%o-EfLb7E@{4^>c4;*!`CdiI>PlxVn~ctc>!}kti_(iw8cjJSdU?)?@Wm!CK4s$JGVsc6TR~)YM~lc*w_hE$
zB%4aQ6sSjZOh)J6%G|Dnu5l9(?3*z5&drBUG*04<)vhYr=k1hZDXx+*J6WlPOX_`q
zVsVF~83kR=l>er`KX+np+#q7s!No`fH|s&XuIV60T2{|%X5;u5a9Y_7s;~x`V1avG
zj|nMwpZP4VI}YhDzzyTgwZPI1eVUQi?^Uezi9-W%<`!3*P0|nVO9m0jNb*$@So>FG
zM?bcTbk*he;J#R+95SvElo>Wu-pF49m?(>A^~{)N^fcBcycEEx=s1|C@7VXeRXvk^
z3#Gnd7``)<+P-xe<$vRt-m*0#2AwG&yuvCAfk4<^9*c-+LutLzk2_z)JLxSslu1Wz_ZCb^EOPjl2i2TCt|^Wq8I@eCuxyJff1YRpN`p&tWnI;@RA@a%X$26BX
zJ%22WFMuyIRqTaoeK_fdgCZ&JgU3wX`ukk2fh1Y>yE-C2?PlgT<$uX}$$(<9<_8Bp
z32|U0iKE{a)e!Ey&diN
z`v`U?k%DTxiL1AT+iL@@K?+e#?&*^R&wq|xe1fCwVh2zHzSXb(JZZ_Pcd9KoPz-$B
zE|AtK{IBc;V7bRU?TNH8MWzc2?`Hl&9z$jza{bI$JH1}oxl$e-O~l?eO15N
z$T3A+fiK9ug@dK>Uiu`t}r;;
z>5N;8(RqaGjq=w$@=U`No>_P!8lhGX^m10-rW-%J9DKzhhyAGiac9&}_FuSN$9zxR
z-CE~l)%RzvBunQbBVjm%{~ko$}*8_4F>>m=zU62R}IKML%_eaW;
z4>~ZRZs{3aKu`Db?6aSniT{ez_(x3_i)G8jU;}uDz@J_;4Q0HHHmH4yDX}y(r@o?K
z76rK!h1aSuARui&R~6xLD5~(}fAS1I8$PI(miug_QYVQ60EZw)IdTYQn$Q%2m;FGV)@#7om;r~_5vAsgYQs+mM<;JW4_
z5irzlnHD@&
zXiB-8e#f#`tmI3Ue-jaIGinyc_u-l8%cbvLIQB+8Cv*D9lf9=DGLyp5nt3-Sz-d1`
zUe`B>)nEI%BFy^cX0K8Nlk9`1TEEK`TSdFIzA)(g6SWPvnWoog39j!OaF@FnH*389
zl*0|$dhniVnxBSN=9~IcirK3{k0?juw~fSX&d0+Y$a0$UAb}3R%W*8D^yaKg8T1W+
zk=r}%bDvsB8)IMqS!FGwHo0;1j4G8GaA^>HXI2m+H*sT4{{PT**FjN!@uSBdHel(c
zJC<(gMwf2s4k_taI>lXJVd+L%x+EP*qE^Flc;JedR98@
zJ5J;iItiOL&ftBx=5JXu$~f2VL)iVAY%GTrWl?J`RkHPvivUf^MW8M;M(PNNv+JZe
zlLx>x5z5r5zdAsGL
zg{N-&r~$$TrN@v}0hYT4g|-7zg0L|nQH@H{lH*yzH$(t!%>j(gOh@7`z6%giNm|}d
zMcoGH2jp>NP0Qo`U-D+%go2BnS2~)NnwC05bqHyDj)^KCBr*&EP}g>|^7EP8Mk)|h
z0;4)jm9bdKj2eykD2Qc*lTk1R;de)VmbNYnqM}PsHvg&q-fbh@zI<0MOHQ3(*jcti
z>;W;$#V9^=2;rGOAUhOhu^^O`QHq3+0H<%%tPv?kryp+pX3oaT(sUC=qTGA|zefEB
zBuMp8>f#Xz0V7&wDF??fLiJ78#7W~0uc%2Jz^Gojd?9gsWrFCC*PXA~suF0wx^GF#
z$Al9wFZ2#=c7q`Od{0@5wWONObio67LH64tUiXr}<1`G*X*(UE88eN|YHicK(L!z%
z_jK&YBxct}!^DJ%OAVdx@vOHZ0}wp#=g5N&^9-Bv1;v|1dMr~cv7EsH8n4+H;`o)t~(~NAybHhEcnp*$V+E
zFQ`cS4^lS=9hcb%t`+v5!UI2ALx&4E7H-x%t#0=P0G&(T%u!5r{*P@`PS)tMWB72M
zZ&BEUj`4ljaK!tvGgc}Rbe-%Pw>G0lU_;W|{hWsbgHRw~E7hs1K`vMLJj<-S#Q5*s
z+%{4Kw2+>Q@l6>6nuHi-<11DAhQ4xuSggYuC2aj?T%7dn>pLxJ5;TjA*a?!Y3v~6L
z0&q#hOIw0Af9FD{3wnO^kiwlTXbe4NwdPA@OU~pT>h0&i26qYfH@lWy1)``La^3BK
zA8DU#KuMaj51Bfcp65KONO<_ZisNY4LY6$#ySh5o1z;Qh)
ze9CtJY4FN^7f)28B*g|*V*#!
zqg>|O%NzPX)GYte8GigNXT81|e^g?Oh4m~AH_F)RrMkOE;@VqAYMR4exus)^eSW65
z8>)AE?lNvKPPNHe&HEO(3GZz5PWQBV?9jn7r_^`FUPU(geGVaNO7r^p)4BkKeWhr%
zYnJ`JbMMd~#A?fiyP#)4<-=FicPER)Vd2(&;yia`m4X+Bo>vj*xFTN^|#(F7!>kZis+?`xJ(JBSby4M*#1Th^(>^=Mk@4T
zh=HA}ezYj}iam8U*=)KbdTQQJuzPvzHpkoV)viw*eZ-u@LSSA%?GYnbvEuHY!9FbF
z!vhT}%lSgr#i~c=cCRCoZ(4pJb+32cuxFzVV-HuFratRh>dd=7Lhk64eP)dhdAS`I
zDwM0@8hXd;sM7BnMv3hbJ1yTktjNMc6Z`$4QB3E_{qUT3?!|0sF?1mNj4ls+3iMcxr0^&{y5e1E?5`j@Z1vpd@PqW8ovGv=c%<5x~DkeOwI&ofGE
zUh1zT8Gh71c%P~KwtfHS-tZ>&-IE!T9>V)BCU5eGY5J~HJW}?_=l?ZE-;=9#=GQYn`Zn&#>6!%SHo+1zrgU86L-%g!bq(o-s^Zf
zZ8u*Wz0*tAL`K|gfwu>ag=iJ4Ochy|&k{dlLC#>7+83EFkM6?6vD7D1cl?U(opv>ZGx`LP#nh
zddBo~FkoI@D`uIWwi>=TL$fNcUYN@=f137sIl1#%wy^;_a1bJ89!1iTROCs6i%=1u
zPIb-p&bChDp^p82En^rF1Jfv)V>YOXW*R|I{Zbr#!JtSrV~^#d*Ww4aeY9sQPwM}4Lpl`ZR8HdNOM
z*_*@Sl2bZ~5Z-(Yk@G#de*D}d<&J`_8DHW^ADsog%ZW}7r@XW1b9$*YUFHuyCsv|k
z60SR^{2$h`v}|0*O>Tp|FLRNz7L}oKLV@lci2)i~If-$(ZqBItXNd+&zF~d-9>20s
z(+V`YEYaF=PDSo7XCBYOfS0(mSx<YBEdfD&3}zO@WN|B1}r4QDn6t
z&Ca#3YwU5{nTQ%EBxY8o^d#II7Cq?9BDR?ofQS{f&hbyqtCurl_#K+;{sh^O{qR?Q
z6|oscW*)5
z`_iSvK*xM6X}0&EP1zlb)ONY@E`oAC`kdQB&luT9QiRq{A;llOyoj_CS>m3E*FNzz
zi8(2SNIIe~nJGBndf$rO%yft-O8Z
zNpfzjs=Yc4?9OZKBXeIzT5HJH*^MDB398+16l}Jgd2I8(dn7+Fi>mMO<($j1a4y$v
zs&~~W6X`F%`jz$OL#}DsiEMMQL*pFN3pnRsE|2ju9?NA
zxc@zixpxb00NYI5^tn$&Xsdo!Pdzfq?=^Gl$a%(}GZr&K`|k`*f{hWodi3GUn1>{7
zv(yid2M~wb?x6LC0859n0TDw_NU>C_8zSmbFSL9!hhsbiz#*faN3?l{h+EXpcQ!*l
z(tAjE$a@q_9Xt~K)wpiiOxtW=5#9mrrO%uz4<~LvukUPQ@_y&l@b`CTBx6GobvvgI
z%|&sL!d%;`RmLAa3~BO1A=3J>jsy*12U5~nG}n`$fiBrUG8W-j`~(kp;K?BlzvtIp
zSbvM_$<9k*$aQEIp;YLx>S*Qo*v%}}sZ7uVo=GnJh5I=d2)zke;%oUU#AQnyrybdg
z80=;AM#dHNq8a-7vY$C8wT9bekofdQHycp>agO)t3G`@n+zd+l*d0&go8Z&QQWgIy
zv3c~IuB3>W*t~1mt3M9<+?cRGUk7DF72e0|9u?gxyf9c5a_mE
z>vyGL(hG!S?|k!+TjdLG$&rit=4KZ9|9q@DO8QE=oRfuZ$#zFwE=M1mrqYusj#p;y
zlRBw248Mc&g@*}r-Hfr)jK?kq@J6-2PR{1HZ&o87k#%sK%@e>U5Nc
zpYWw{T}K%j(A^t?cfg74jk$OXnrxKm|1?hzV^WsAru3gbdeb@XN<|vN>bN@Q9sl=b
z*M|Vnvze@2BQ-(+Vqdz#zcU<%IUY5$?v1k#TnR}k!H|%6{}L9jp;?cm=W3MvCfQ4p|S3
zkj;;M3cuwWSaU`IXjm!BzGWo}cuhI1M~6DhgAT2G2>_jSsbo&7r`;#c}c;bw7864E(O
z`_GvOpN%!odi}y~$=qbhgKP-{dX4xuZg1c6`ICvzr67qa^rwg-SM!@DGJ08uWjXV{
zs)+@*Z1uVJ5I7
zI^gY4w&FriTp3AycfY8?%g;z-QN;cw)M3mveQx>Hn&Ia;i%)Ny|Meo`Mv4-eO~@VZ
zwNkym1Y0{eWhjmf6ZklhbN$(^L^?TTkV7=#TN&vrk6tb2%}1?}B}m!PLHwM>THpq7
zh~ulEGOg)NvkCK|)rf!I#`+s9X8{zcfu#;~$t~3XmL8M~?vRpdrM#91FPm$Az0E$h
z$r%?GqT3@G{mMgi(RtUiP6A@3ziptrtJ$}4TN>D0xc#EH)8Ba~W!D^=wKMtav20DH
zIm^PDgP)G_l$^jUo#&pyL)gEaRx`iD?
z9eauGcT=?fq8ofARk{n2YWv^{!ClRDdPI6zscfrH*-?cSP>Kz*A_yyxXV+FOdTRl&#R4qt4!^?cpE1dM{Zy2qZ@j$&Ax@o_(+g#O#V8
zYegc_dAw5Pg6fI~*ZAk^rVjuicUx)%P>n2@xB7!ODa
z#||jHxv;hW#xDUrsD)o%yuABBB`({UH0mb+{~7Xz*7@sUr6*XEL(%_1?QPAQVf~+R
zlD{G|zq6ZA@*f-uRU}8hcoBS$PFwz3&!MTx3&W-K+xQoK)-yOM62N_>a(VVE=D`*x
z*H_Jmh1h4?o)REZ0?JEqO7??8s`k_?$Dh$LH@t_REd%ILC_>qH*}aedL@Z1@tAC63
zIe0Jpcj5&dMeEG~;_pyEQ^vc`HD6^E3w}cyz?DV+Fr9y01COD)|A32sjS}rTryqAW
z{w10ICu>*dVf{mA;6DqoVOoct=<>s5j%QzAcz^ysS|lf$jR>zrdbZC@B;vKm8tbJ)
z%`_$%|6`pj5_lGy;0?TQqDD7c(4q~mMe=HM@aWU03DWSsO1MLLSETBHv`Az;z{tFM
zI+ZJzDfV!CRd6bo*AKucw4bbGC^N0Mq^y11NS6sEt0Y3>hhI_&)Pt4Pv3lC>_944CScAR%(xy$(#&&E>L^e|~Z@
zKVNpg;G-?K+u2sn#@ov3KjCcJKWuLWZ;!ttzn?viH+&phon1e&@uvQrvBLRH=65;X
z`?j%D2{9<&dmwG@fWgyGht0^RO;um+-GsTK#wRIijD$%-gHW=t;qf=T#8R}E&24pa
z7x=jkE-xu;gB|5yiY05{D3y;}3eSeG_~qmW7&B!%PaH&22cXYeP($R-i|}##g?yW>
zP^`%sVz={^RASWr_EAq@aMiyF&L85}b=gGQHUHs@TAF@#)6Js3{1cKcWE&xf%#aVk
zC8>Bs&(o@HXG3)4z@
zruzDt-brln-sBR)7hGLUJOq3CO1FG+|7e9}hq>0w9nBPH$MZYw^@O)AkIbr6DZhzs
zWGDD_%*Tqjf_
zrng_j!>OU3$W`&DErDNXm`j0F6JtZZ*?{#)lFCWnQK+yf1~$&)^Z9*`JKdYt7&}?T
zmV!IIzuni}@0(0v($H@z6ZJB-mb9o8qkP(g=L$K|`LDYwA`~83aCSzKR?Q~KF7yhq
zaD9pLA5aMMJo!*eM(do|0CPFN9po45_8-^$ly}%%f(?|Z=iT0TRd_BM6GTm8b%x4k
ze>!8(e>Eih;Vqh7BFI-z&cSYJ%2By(ntPd5ugd7j9w(cbrjB;MM?FfRC1~Sc_`dT8
zlB@mH+hoX5u2pOps307#MOHtFjXH0B{vTe8ycMiu)8F_n`l9PdJ?r9?+>5(9oRJVf
zhcN0m`|8b;$FV!qh!@#ffDTW#COrWXe!FCZ2Aj`Ibeg1SD628;&rETtb)@^{#i40x
zIPC^7nLZZ>j9=kNN_+%BaG^Tu|8)KhBh;!zs>n~!iLCR1>0C8nX7(5jCADlA?TK-c
z7zV=4absja
z!0x6!qr%Z@aMNecsM4F}7#eV}A8d^L+6&AnQPv?bb%N710C`ocIsyujdcR*I-2h`=
zVFGbF>k(7Vo>X2Tzuzjvz$l0wj)Mwi5jYW=6^=qip;3|gZfZsZB>2lLwEG6}0;2#q
z0x8oRiFOBZmdqZXT+yS^gaAO8gp5Zzp%c|{G~^;^RVAbLdH?C)NK$Jw@-z}nS7XK*
z4xqVBZv%;9f38r0hbIusC?IOitg_2)RI2j#JXE}b@=>2U2R`xw7_U|_K|M8XjL}hI
z<~7*h24q41d}6^W6`%vvWEwNozCzG#dNyjSlDy773GwHDa5&K*C{77#3Bl`?TBffE&^60wDh{l-jh&WJl;mimSC4>Z
z{5i}Q*oVKn5F#H?H0dn1c=l7MQN@ttO{%{+wJ@EI!WVCA^hxNm)bte*AdA35a{n0|
zdn(6oyZLw~pYxfqw}P$WdWocEw~;A^Rov-Kjv{TV;GV#}2UO;|umq|!^haS}JL$GA
z!}9t4IsBs-zMS>nIv^|n)B1X`oB>*`;M?;H*1R%+>V$E6{u5Q9Lj$a*Qq|Hko?13|
z^m2c_;$EnKq|~Yb&N94*y!C@LQRh72F%1Cg69b+4IR2&g1cA4{BDpRe0P;?ppmKBw
z_dWm?;CyCEqh&g`)m_Zxc~LUt6sE{Os$8Qe0x4ql+hO5JrQ
z%R?@NoJa-48XWOG171e)J$y>;S3>%d@f9LAxRmsfr_Pg;IhpCML=HADg9lo#ePe@&
zS0?KJ7D#GZ8;So&^5;Sbu6u
z=#KkZfWM33rUaeAw1t)qm->4C(Ri&ED_Q!8&ChpGV^eLxzxr93AF7^bsjKa(W8#s2
zhJoU%7Fn5ry)vqx+^wZIvEjqKRsPDE*E>H?eyN49d9vCKyaWIG#ZSlPp=DR{7UB_+
zHtXPLC1-zl{6)6ZN-!`nU~tnuLw@?BsITm+of)=YeZ$%gXJJqN?%j5}OZM!we8o2Z
z-938SQ^A7tETW0oCJqlgL>)lU7}wLgL@wfX;ikQwfhPb+OD3y9NZF2QtVxe
z0q0Q;pO4aq6%hG-Y4!N?#!&8bXyR_Lkz~=Tzt+vxl>bFU0MiHmJBk%v4kwRRRJMh*
zu-`Qd=7h75%l8t%$vFJA&I29+`|&#a)`fEq9C`9NbdI5tcNe1_
z5l61NCme4ow1xs6T}Qt=n<%>x3tRfJKmC*&x_q;xt@Iceee|XBU!v?Jf|k`B|E)Zk
zI419W{UctH;qr|o5&#gtAy9lF3J?JRK|miA00LmQ00E3ur@dkqzqxiiiW<|bu&Ye
zGNu;&W+;y~$=0Ax`u*K!D~Sxbme+m3V@zUit0)GUc|0%?QUN@Ek;3Z56$(Gg4Tt(J
z^Z5}U`8K!rkB>BHyvZFS``mgZADg`+A0GVmm8C@Z*8V=6>>96SHa~bX^5|F3@!qpz
zmIovM{#<|0eD+4NI;3_vowqm^Lf`N%3?G!CeMBsKx*rdx?un1O3+zu|=~K)#sHhH~
zPb9D<3RD@h@F9$;bZG;fvCzPogA_5p8H6`qMgu%e_N2j8M_>V0mCQ(=H<^X(Y^csw
zvSoD3F_7I_Ow{9=JxtNp>p#Xx@+DX2+S4bwnFwex@#LE?=$sUA&B-5SScRR{nfvh3
z^W}rfY~B~?sul6T1Aa2)Q%aSJ+m-Oo_0^=>Of$Kp+#`{$d77nlZoKWDuwgbJ~18`@RKulhOC7-%(;+a
zYVLh1L!GBj+x#I(hDzpXe5T5=Il?C~(AiU@i?Qjqx3$jl_NP7+0*vJLyXbn&b(6>C
zX>PnMDAr$fj^-P_3OiI+{A?d@#Qjw*zpAip;8b9w0i&2h0p2@+m%)w(4e8QrxQ)aF
z-I%#M_hMNj5|EHF6h$M-_TUM}hs{QH&dsbiN+U?xXFU}m9`0(vfV|1!mzRxTQ;HS5
z7p7-k-C^
zLD|Ilt2Bu0_z7>NGw@R_>tl&sL&{rwIbDBB5+ob|B*297v>KBXj<;nM6v)#oIZYbE
zm*E>+nxC(AFqv!estFGm6DWn+k>Tph0e7p&Z4z>D3%VO5=$@vRQnOiSz&79+pY6l&MN4r&!zh>eX2#AF7dIG4j$yi4
zWI5QZxG7U*z0OMF<^~b#TwQ9B=&JHUg9zhhz+6B3-Whl1CGev=IP%oaiw^!N|gjyEP^KHt#G!0-Xlf!;~f*p
z1)QW#_``{Bn{A6c1EAk6lZUPpz7`^ql+Cuyy8B=MLBXskAEr>IIE~XYt(YkF*{hCp
zOGOSG`<5TW?}?`?q-PwOUo5?!v*AcN!_+C<{J6s7uz#$RK#S|6JBCf-BIhEDNXH**_G-I=MAaM
z2_{o5RAiZFZ0-ea%&WjCpD_VC_yPoQU#qH%cMusVgMncH>P@g1m%_ZRiW4>PeL4wu
zxmD#U5*YvNIw5U37nk6tw!~^KkI0%&@kPWhg82Y(Ts%CE_*wd*FZor&S;49=r1GQd
zBc+71$
zuNHUz$^M&YB{ccIMP00N_hkLo7<-^EhMdf*Q0OOuL2Nc6Ip{$;s(_}nED^r}i4oYX
zASMj_8U$6#R2J75gHzC@nb)kp>%GvX&G3@=pl3mHr{LwkN4`2lX{NS**SZD&=Gv{l
zIRh75Z-Cy4DfY==}_@;ZA3R;vEUGu%_U*{w+CPA2_;J3#Yps;b}#3;%&sM^vPaGUY~Xf
zx#O-Pw$fq7AOVcRJe#|!QEdB>0X|xD=RegOFg6-K+fgx5YW?IcXDc8Opyb)z
zwY2M-`PZy`U98&dN57_AJTagKkE2Qxzw`Or>j?V?!#FLT$ZmikV!7qqeJxMC;x%z)
z60|1Ky#lz-ld}Sbp5wD!3Rx@^6bGaX`Q7n3yu=)CF9Q-yoAjA!c^REy#vE$Xaunat
zLjRt&NsiN`RX}n`kD;O$XrcyVUEakK-UU|6i75klp-uFzs&Tj4WYYy3fIyg$+%zPP
zob1L)b}Cs$Ip56x5Z1ZRsV=VcTrGKe`0hba8(ij(Q881Md^6
zRH(tfooq_{>=JmGx)S06NjPVyZEgyOe^lX`sPg$w$*5ucmbzdOq5`WSvDhEz)wT@<
z`l7$R{7OKRfV7z&8R~dPMAMzL-2X}4^AFq7BfTe&_nbxXprwX5(aA4DW!c!B_o}v>
zaJdVREfO+S0~sO$m^>egCRssnMp#J!_|aocRZ#bHsy>=W8>R?;0Vpo!HY-ngcn#Dj+v^7XD(FRaq-rEs8wge%cDcfaABHepItcj$?nKAz~itw77QL(VqhK?v9jB#CMkgi!!~4+Xgg
zkHPRoM>YhwjU~l0(xUs^lc*y0r%c^e3
z#$=GUp#=)^w>t#6ZWnRQ|L9sg
zWE?7sRFdjZpKVBEAV{ShODpXQ8ujICp1a~GHFavitsLP4FcUxIvuZk(Gc>f1
zUF*W*e>-WGHgJ+~h;{{}J6Dd;6KWa>cWT5i!2qY<9*->xAe9B)Th!)H^4L`6v%%n`
zQBa5=TpR$)OoD{6qG+6vn;v-qrd<1dYCjq2mFS5;2c!$eqziCze4ORsMJ6CAm4qh+8hd+|y}yZ7`sYADe~~Gm-%0C@A~dlpCtolwFwx0v08
zsTmk;02ZNcHt^DR;#f{-7k%JYT-iXaX*R^XREUo$9I-A34|`ryKc~RFoDyJWjg6{$
zw}eAE!SD^p&$PmpP7wUCNa!fkv;vQqCg;sieVeX^GiUN1%5nEuN{1nsHd=_)ax{MB
z%6x0$$?HF06J&lCrng!L3rQy5h?XXPclV
zgo*okGRfVXI=UZkx&xMr#(N}I1Zn@}_p~y1wtb7{GJ(amiwd2FLOaMB8f^_1h>5LjDP4ZEgQB|6WY$Z
z^)H4z8X3Qja2
zaSS8XV13V2gyl=>BYh_j*>vp~aRi!34hhHFm#khvN^TkHUL*~=d>{7vJ{fB8B0D71
zKWxf+CrGs};UqE^^hs6yax9vKDij5Nq7TOtmrnhGq>8j-k>*+UFU2JIE`_`Ae0T<(
zF4?Bb?gq~YUqU`7W>h=cfEQcYM-fhEXi`iGuumWd2mdgD*j_-b+Cz(oJQS7b
zA1P7i^oVYxy&fig#a6heSkwmc^F!DbzW+Omxb)a|B9+^RSgu3RNQk8|)D&JrM1Y4E
z;YzR)n^G?vzBgcL;B`(R}yiVlH=5V@Rrnp5BgNDg3vuh
zcmxV=1)r~wlK-!d7zF^V$+3CIdG?VZzZL0S%>;Ow_{AkVr1q#J)9c<6`HcKnT#fOM
z)yVu>ez=_=ys&P={Wrui3(DnNP_As1CA=Z#{5aK0
z;J%$*AX${-zcnYeEoCLNBdL~F%(`{-q^Y6RNediR*5R&@ife`U+L3`xNFfsKL?)sB
zj1UueO^xX0;PJY&_4Z0)k$hbvXLdlA=$7GfitZ=shL5xBL2)^DP%g4fTRAJMc8Gpb
ztW)DEc#Pak5blMfS~Xn8I&2@^DmnLQzKkz9@h+ZSr%~N*k>#_--Gy_A
z!Z}n5tc<7Mza%n%LrwOH2)|^0VL7wBShC52emWr(x&h(MWR1Pl#78TN)jeBu(Q9pT
zWgz>lw<2#BhAiJwAB00>b%qm$_dyaLfKkXDAS@Dqg=VEf$Dli(;d|RqK0+W5ASt>4
zS#w@2+_G;#WEb|zbzygEwYM4#{<|PES)9JCXJ)6a+=Jf}`!bzGWGlY>V4q404jpzQ
zs@VUQ%YPAEcA@D=rG86;{QBK|;zJkJ!p6zK))=b
znuwb6iKje%SgK5PJ^4Yq^uzImrONGVUshT>Bib`Dc;KCaetxL<0@(ZAQb_C`x|17d>DU$~zq`R8PDNkbb*~h&?0YK^ru5oeLTr-3D-y
zVv+W$ifv@sAMpj0LL@QZL@WpFU`2lsP1o$&Q+vr?*HezAv5uO*o$dQP*VVU+F8f4y
zi9U!nd_p;4~Wd3{-Xn&
zHB;~p@FqaO8oz7AOFAV288v`EQ45nFQvl($Oq^BQ#iAN)lu}Tyfb+PJ`j94H)M3P+
z=$Kd^(4?myBQ~p_oRm!R&i>+_2&StXtdjHbeHqeib#_5-%FyPUQjC2QQmo=fVdV^wk
zvrt$Ioq*e1zUYJLQUx#bSDAtyhAqJ-27rf0`C5xaC0)J)r){L<;*lyAxNYl86yTq(
zz&<&=Zj{n~=$D}@$^LLl{)hfk1-hhOui)Py=WDGGKE(X<4*G16-0Z6cMHYy_o|y~2
zxcH-Hxm`Se`M!Bw%>?i*B2F`Ibvkzh(?@rF-uX%cC|bX#&jq_ZN9
z47ZD_PG;w9IwbjF>oQU3MW6Dlz`+(H(0{hdDH|pG5UyzH9yfgdM3Tv
z9X+1%tjW4T*(${y16c>46lK)rEQxWi#=
z3>2W!uunXFfsws&=Jp447{62y?2p62T~%f;?__W9bmX-sDx$`kb8l9pFwDOM7n{bt
zt9|A8p50d>x~U3sQQ3APEBqzC^C|smpa?&5OX!q~-7M@M9FYO(uRh^fSJakv;1~+q
zc{=C6Ht`6yHGk4w`#mt7+e2jqv*;?h&oa&EMvGTOY^XG9v^99xDmY{LU2y%)My}87
z9<3*(lH7jXd87TbGqAQf>inw2`%`q6+h-wB!PxdHtjXc`1PaH-CvP`pQQ&rGjErXV
ztN{IC<*Nj27-^+$VbB$_Hi8iKb;60z?y%wk-{*9
z=1vj7&j7X)2sIe;zqZ9OS-LSz;`j`tRmnW(p3}BC7{_ZXbFH&mchvIKY0~=Uw&qbo
z1%~$Ns|zcMwAvwZ@Izlfd52SW6!I@3LDf0AOrO1An(ya=uug(2E5k80MK5WJF!6!s
z7ai_QS_lFAwJW?_yg}5dDtHx)=F*S^i^F)rvO1|X;t0?#0GjS;;jx(xjArN&u_K(7
z>u+0uJZrXOM*XhA!Re-ahqM+>Np;@9k(l%M?^9kYTpZmv62jGhaB{$nQ}<>icNqpm
zJv2*TQFcmL9p=e#7mwHK+b80L@P%mKB8)^8)H-bZgIs)l;TM}&y`X~cg3p?cSY{bs
z8JnJPc5l}(+2vrr=kYs{RC>_XiQ`-fUKe@{j**v2k6^72>3fZnsk)Q%4BZV&52HOM
zd1gfY2smM?;vQNu+ZF!0ABg?UNqQSx?<9%xl=Mbf%Z7LMI_r*cE5jg?DjRPkb^$9p
z6J0hfjq0R-IN@0YxqK$5Go5~|LHSGoqN*rVBg!9?sL&WhQDvI%Mj6-JIUb3sg^4qp
ziHrR$oi_en9VX_M$%61M*$y}Fy|10%@wp;MPtiE{Zm4juX1Tug%6vl1n7Tm(m~Du0
z;!e3AnK%Tk6B5*z=T;fS>Oy|2>cBgdrAKejZon+kwMNrA+N0#-=i@2Ntz22>7Qh!g
zXQZl2W0xPI{Ea)^BHdKso5lf|wvdSAnK%}UgLD9=YS~$8Yrg9_Ewz5cL$Q!S=>f~G
znm{TBGu-xIc+nQv!MaCwJNu-q`h9C&Uro+&4B|#Qj=qpjOp&x
zW^+Le)J5mRWMgNXse`!$S31(i0R$FsNzbme`J-gNMQznKQxMD*2nA%X
zsNLtKqK~n&)_CSCG4|KMVU(Gzm&P9Gd0~}awg7vXyh}Cuy64BEc2k@-`^dh5e99gS
z5&MeDy^!F}>li1q6WzUnykeJOTGdKjdJL-Iu)u=GU}oE7V+o3|<(wildW;SM
ziO%8{@5M#3a?SJS>Xx&;oq!{5(>kavN>cgWR$E$;-mAx2E~ze1rf)%03q>|8ukm~h
zl3=w%SCl;Xs%$E@1
z|MvF2Vf|YA*lmE122t!&$<#l4>Pw3xzPyTADsrv!twsaNgqFIc-ii?erzOk*X#a@oe_-!
z0>;#>Kc?99nISFxYBW9=mRczjJ_bdFI{tYgikQ(C%O-Lv9JWy^4R8kC1{xMjJKwpj
zuz9NXZISyn@M@kQzX#k4-++mbCR^%?Dq|SZ;RJkc-Q?gGF~61LA9nS<
z|C%ua3)B})svIugVFB$DzttzX^r09K9?ei4orstCZ-w!yS?Jq!?MrGrxhaQhfZA4I
z?eGJ*4TKLiN7FAx6Gr3cE3lSmC=#s<;G1Y?_t;l?{zI#l!Fwfa=q1Ik25c}2
z<-*D0PC;|YV53v4LmvbOG-Kt#FIIRyRHYp^#AUsjWMitYH9_82eo7!ROi!9>qKrET
zrslXB6n2{YWe2k@q?CkXot!}UGd}S?&^84g%&%TO8E`XcV$QGA-V;weRj1^K3wfrlxKrXvC+=h+ojX8y
z22&w|_&!Sd;TTjOgjSVixGyXi`)TMR_0?$wbKR;OTVO_%eyeqn9%ZxMi;!gB9Cb_}
z(rj{|AVTEuW1Lh2E6-x8wGQ$93y23UGc7?SIGHZvQy%2I#sal^i9o4Br~c0Gg66Z9
zFxKvx2IVSzn<`J;Zc>pWA$d{*$7N$coQo8czk|m{Ev;dl-DS7dHc#+7w?d@p*;gr9
z*~L%W`Lo_$jnAtJtMn2sVhKNZh!r#_IM?^QI0(1}(m8XcC_Lk%T6D(;APk$vGwaattA
zwS$5EM4e7eaG)}?4a2a636*F)43n&(kDG624YE&}Q#Ivrfbq7b#YvMGTEpD&%qp6e
zY0I#alT!bthag?T(FlQ|aQUy$S0d{o8qQeRn59gNS>|#ua9T*~)Xu
zz*)m7WTl#zIYwsgk+L%nKS60oTE84k)?u<}8S^K$=;iXFs1+js}lm(ThfRR()
zdEX**AdX`Z5WbF+%DUGzv*t!u%TC@(#RN5I&%%liVs+w0;BP3`UYv4+2n7iEa3GmJ
z13T08z`cqiH@Yhxag{=9U|$QkC{pd~ORDIbyUgNajA!3Ox2T%0AvR1%$vI6arlsWW
ziNC^L6wQFqs2;Kxg9Cg(0{2+H;~p;V^wsSbft6UzDvRjq^~?TTI|P8UWaw;t;77us
z3A?nH2E-YGK5T#T&@JZ{vx#w*9%9rk=pZicK|b$?5%yrJ@zU
zToK^fJ)9seu4ynW9XiMX<{z_Q4{Kp-=JKb)0!ja`&rv2_Tv0
zY;GpGXQ-j;NPiOx&vSmhx`
zTs}^X$CBqY-+%L@cwJTsMs|xFtF+*xN}plkhVC7e$*Ei?JP?StW^)80rlvGZsFO4M
z1IeFt8}I9xZJERP_G_^b(oeUbbMpd&ns2{9B%vWdvt;S~UWB=9#!1V^d#}Op#-cw@
zwE$rEvQsy+fq`=umkI`y1>(sWE0iNJT&7*Q~=8P}a~2iEI6l)FzntvE28AtfJQ
zx@C)N-$23=R2k#BM@-TZa8m89!hoHFV!WC!k2@DPOFMy#F)?Mt9k7@^`#y$!CIK)N
zG3tXDUPB{?4{oIkhR;N8HfEfe74Dol;H<9`;>U4m*91R7CxCJhK;y5^z&aAZeAe+&PA{=&OKz}>%>Aki=k+-OhbdoM@bAndyb!&+
zsQ29&p994<mJ($4;}r_yB?`gF(TBi37$oF0m|_*@HNyieLev)_Cg^1&
zoOHrC1dklroX#5J>auYl=~PxkKj>3>oVrP-*bJyF0Vg33raS{7;E+CE!|%Ks#Nu(c
z8B{ptK+_ETpR;+I1)-Kj2#F}N3s+O)aw>igV6mVDe~71b@=Rvhgefj^^Mtj!U*YB1U^MAqL3~Pffy-Wjtj8WSqRG^b>eI#ZF@Z
z66Ev^_rF*=7k?)I_mAJ3VP<2qVa{_V=R;26voYs6A94sI=O{`=4sCNj=6p(WK1Csw
zq}pbr96}OBIVGY(IxF8jevjXOa6j(*e&6@|eO<5X`SkzIFNX)4jCiwhy{?^H3Eodn!_Edlb%;m*ciLo=XH
znL4{TVYl_eYpXFN`}xaP_Z~?|eGj`)@lFdbWLCk!rLYkFHWXM&b$BRHN~iHIj{Dn&
zDg3Jp&x>^SIkmNum17}4{z#$4f#)!v3$X1ClmsXFR)bL9Ag(|7llt8^pB9blRjcXK(?(va)o+0$u1w=^>ElDardYnSA|7d#Uw
zxfZwm@t^6arOLu*hP;Aro;vKx_vORPmmXnhPMpBW3OOZ2`a5e5IZdHa6P~vUk9^U-
ze;(b}f-8P9P5Jj|KHEEeXVTzs`k`7(`;JFD_4M1
z)gL-L$Oajw6x5K1DB!EQ){-83hdOJbdA2lYCWX_9BCx|>+81-Ji^C!;%{6SuwJ%K;
zlF)6svbpDgqg2xNRYh@oB$L%s>=bWs_&HN;s|
z63OWpmgcxbCCn?T*5uc$QNL~!{I=XbejGji*;h(^-vDqLwt8K(OzB2#S
z%1N?*5K_o-XD)Iynr4ShBlM+_y8e4Z`4)brxT-^3^QVX9jgP&XpUb<}1|v9~M$T?@
zat7SyP$$4pW)tp{5VMW4XUS_S;^ApWovACf`BhqzBlaY!y7IWmP~GQ|+9z@}*;
zzoQ?!S{(Uudi(;1v+zZXSEj5uM2-x;x(!w=iyNs;S>H_y!*cLDrCk2}E8pt(SYOQe
z_W-R)8aRxqT$@7Lkg}hIytep8o{4qOrK#>m7Jpqg;CY$9L8N~M%b@rud;OJkhTVC
zu6^e$un;49>fsME=~+wu8>b&X{v9l5z$L>#+RE%V5@*K_h=O1-oS$F4)
zRb()KC5KrpWcUZ9(8)}uuP;#Wp9Z?Dt0H0LovXzYRDf~Zsv-y6>mPfYsvk|8ky^@8
zi9I5WmEy|O4Cn^{3J+b`B3m8Q_brPGmF0Y1tsJ&1Gn^}`FOfPpEa!kaSX4x=aL`A
z8aBuyrH!(o??JT)KuqSi?FB^Dlq{ee(-gEBINdp}sJ6TJY3ql^5}n3S5Ewh
zYX8Mz&2ZQfmbR<0w}@uOwA`ofta1^aKKSM`o3?})fZ7by5doW2av
zyxLG9#l_bP;6}FuL9
zSH-V8kelbP<~8NAB~j^%fhZleJSJ82eRzVF#B)=K@RBDSIKb1TK>Sv{ZK-Jd@P~5WMe!J>PC2
z=)T4+rQFo+ia9kOKGIj|2^kSTXG|!>oaGt0UTHCzp#6;IzRT)5G+KOewjdQ{Q3{Ya;K0Psy}rE4~v>6S^2YQip#B+SVJ8utW15X
zoMWOFEB9spENu;gL1-l>i&={Cp~qKhfHfYv1_Q%E(tY@InpX}_<)Wy0k7+&Y0meEE
zw8XG@rbtdv-toC&pJc;zEeqM(hBd%cS3KXDSgy|F*QSQ80^;`V2xCA0l5`VymO4b?
zvLQu+XIU9f71bh};|MxdI-^{X8|A_4#)2q4(9>gw#-ofnV;|Ab)YrEZ+kA*`g|kj$
z{IOQJx}o6fm{eVWw6(CdcvSj7t5ZV&egp@os+=Pnt`JXJ-98?~^EJTRLt)+I7KKav
zjVMf@(}zseRa$YXsU;WschN-dE)kzpA=PsC>xCu&3X0yP{N_F+S@^#9&R$EO^B9g#
zaFixk&{7T5J>?$dpn&;W2PN3-)bQw8ksZwp$C)}grEUjt7!#HnB^@4Lk^UC8m+P}o
zdtoH|X*`UUV}xqJ`Sx0`)N66_#!+Bffuj$1?g%`LvsWaqN{g>5S@98C5f^d?86P#d
z^>EU#cM;burh#;M6ocm`okP;e8F~5yB>ZLtn8SFc4|}Ts5OC85(nn5ILm?N0h^H6
zvr5`sAjdE`;0_*60LZzt{aQ{-Lkf4-PP%UGgglyq?j7Qc3uWrs;_W9u;4v<#k}BwErNK9K=JB+eX*oV?4zw*bU{KB`!Wry!1yTJSUM?
zmSm73J`7|Mf>wksb#W-boO@|u=0Z;4AX^({n$E&GdFK%kfD)4f=TC^
zjtyXU{~*%ZT2K?xApt3IOabte&I=@gnl6~oL3&6WcfFh(KL=gO+c~%Agc+)H2O>XX
z#4VZG#aCUxsSp{!YX{KyBPq1=RU;e%Wo@~929+B%Y){N;Ly^{hKk!l>Wz8iFLI0%yt|RMap3L}
z1J3h;g*+xWDvv+3P~0?t=cIK5=I-1li;hWk8~bm)pF5w1h5mY5lX?_RWV;k%*`;m(
zsL)Y@DlP%iK&&hEltHxU4zbE!Zc0Ymi7Mi@G$=J}AM08n#11(F#2_qcUTlzerHgpH
z8jLvvfT8oQi7-|^4Vn0pAt=O^VdVCdNamC(sTO^w5G&&!bLw1eS2pJJY?Q1V3=n_&@UN`U{*szHXc%SjKstLs^08TE2o;r3117hSLp0XbN;hJ=7l4}
z7F&002ENMD2PxxgN{9X85^jZpLu+$AG!rcllc>o8tA$I|vQ33twfo6=T>5@Wn
zN?xNa4j*V(?$VUm^Hi>Jpq0zfr214M+yfX~wJLI~Ci!Wq72a|@9N_yt{zVfWGw0-m
z&S27zOqud%js;%rA2|jAJcrNPl0AmKd`yWH@rLumqXmAb&g4@-$)0DO2qzb)WF%bCGs;j?aP_
z((!ceU_`lvZ~!Y%?w0&q760GA!d>*YcH+PcdvFtMP6kVCgG9)z1%_Kqw2);5277T@QJWAkLCm?>YvG?*Vrg~q6FGt;szlK9))OpA
z@g*@ZMMG`^Hwjkncq{h1_LTecUi$)z{V9Ylf!BD*^~4LVOuWa?um>bCH5G(uB?OLT
z?0NABi8>28z$l~@d39N}BqzcEp0G_&@+0al)Pi>>aAdR1^Y3)QQzD)@I!8(01{j!q
zKy4z>Ho&#L0+I@aU~+K;Pmpz^m_f`T3%de=sdLL|%lmc#t^(lEL<=sDkbECb#O
zpje30T|75h7rc@W6~fwCi)?q@5{TauBE}+|GND<7jioI#Nh~pY5+@bwYa|y!0$)=l
z*BCZ2LHrAJ@7w}WJV>B}Ar3Gx8=!0BD_lqlRF|hT>ZwQ~>|DVNP>*{+76wWzCK;GXkn|E*(=E@U7AY}FESoUJR`~0_Nb2LL77brx`Ai4$q`!7dSjfYKgnBp=~R6UzdP5n;DN2
z!@q7qM>Z(3mj7Z{N|Drr*Y3RgEnj+r(a~NU9xgrIAfZ%HF>!t~F-M@6Ad^WVL^F7U
z4w>u36b*pMb%5+V;Lo_ERGMCQUbCv9&cVXH>IxHq+pV#vHcJu>BJ|>q*17SoQLCOY
z6~{p0Ec?fm+)&y?^S-pKkxknPR#6;SOEcWHgn})pwa8p3@o1|vyDm6XcD|P%tC@A*
zm-X%%M2#(X+*m(fHJN}hm!Q`yx)ni1>Nj&IpDD~WhL7?
zdgRK2A&iB3=ST{7BtbD7W(%o7;{>F_a&+A}K2iB3d?C=&w$c|ytU!24w%tB5SU{Jc
zFv(QXrE*&{_?4&vfg9GCj~)3pc-t9*z4WQww^Ix-xlnmCxax1mxVrA4^NHZp13IH&
znk8b5bcQ#6yn}})rD7n2RAjZ~CWF_Q!i|0Yk|$H;lkELz-f)ZU0wPs%8~lX)6r`niC(;&Q|fIuhS&z-FA^->NAN@B^L#w1
zeMELh`{jVMs)h0U^WQ062->^6?E@T5rW*V}+ipS^T>97SjxPlFkT{t|Q!oID=(b>k
z2tjYN@4RgkvtH#w5`4$r*|$17AZK8Fowo*xCMO~=tyG3QQh=CyvG)V6L{w=KJOT#u
zM}E@i;scc0InEL*y;7AjX$$iVjOt7JE+CaUWPvo}wLYZJ8Kuk5rzWq-I*h3;mYs0B
zc2jh+>{{cqaX3?HNm7EYB<%#2UkFhMVq$9}voLH&X$t+$3DWkWg(vNaj4wfxfmsOF
zO|HM$PEGERBjuhJu2B~sX9@Ft64_s~`pFY013K6MDHvF|k_d=wf_`28RZ*rbCQukp
z9SR~=8ZK4@rV3Pp5-nwcZ7LdTA-Z5C1YdctTl(#+#P^7|9k4HgX$JlSB8+ibB!6NTF0lcUTsXu}q?U>TOhztd=TfSa*Hgh6_N^e=hAK`3!js5z2j!2Kw$iR)}+=aKF5chWd*)mlM7h0DMSbsO3_9X$kOE0vn
zS<97Hy1A&@ByYn`ngTJ(NS<>L^Aix28FmSVfMQs}uMu(!?A_jXiG`jeSA)=DAbwp&
z-+qw55J*{vCvcb`0k!2;u|yRLyUx10p5B}r1zXgvGtz9A-{r#j>#+5?CX!S7tma9^6+xbqw*;3KOmJ!Y0H70`|cT&
z6l!^)U*!}?SE0u;E|M3|fKn*j#0rreibzMK$wghPOpa*ptmhEO>J-a!F}szo;&u>I
zazj;u1yZa|z2VEk+$P}um4!8STYb^}fP!1QR9z>tbR|^Avf88EEPh4FE?4s_<$kqj
zTwe5gmee{5|Jv(*eW7_r{C5aTgEZLK1`=rO#l!P3BZSSP=uy3oR!-MEYL9pL9X-MQ
zX1)&MBH;Nr3+Z=KD0P5pKTT6P!IWQWWI+OXntk-kQwyuC+@Bmh`NrptTZOb=>B(wF
zOvv-B^Vq6LX=WROb$ZQIAilN-0AWKn^syecCtr7mDn%Um
z_|HkWmmxj}R-dD(Y@0l9tc9KT7c5Rs|21ioqgCwc_y~m*4Nvm}GbZtC5kM$D^B0Wcf#^g)ygk}0$R*4f`1i(`su)=wrfuD6bqJn+%axlt+iwKPM~CM167
z?Qmuwt8MLR)CrVRbFHuxb{7?!N#V!@h&upU+|zOc)q9Dl^cyU-MyYT=6{*=It|L@wg()5$FEFwyuoO$A21op!pcvZ!WJviyT=*tL1_;Hq
z`E>cLECl#BFevnni8nQBr7^BAefzHddtfrNqlHyF)o&Yg#t*P-VWb8UGYz~CAp`7p
z?1-nBk_A5|-q#C=y2ki0ucQ0!T*}du1FYHTQJz1Uj7UKihW<-AESIgb8_8!df407X
zvOE(cyXc>8*0G+=_1`a_HEuX&zwg~hf7kyQa$_dHAxZmdzmjEFS-BR2V{GNSA>nWj
zU!Lbp3bMP4sjvtGr!|CpO0+Bf8TRP_DRR(h(F^qm_m0~EC+}~lN
zOZ~PiBeBZ|EFlQ^qKRd}&Bp41yqtpDW1!Dj+cs-9cd=>T!{2>xGUR{v)zg*?=8P9lNih|!F788&0$A4XpQh8ffF0@!
z(SOR5U{xokxGsZVLKO#qxgIjyb_n3*p2Y%|P4?@!E$F5&Bqs3@8=+6hG_{QThmZPC
zJnhJRpj%RIuk|4R*A7)El8%`)6)^xw1YJpZjd=SZsoPKvPv8B@{?gE*U^UKIg!%XuC%{*sfe7;BHVQXGoc&d@lS&i*t(y;#~N~%Uc00@YPpe#7#6{0$|Os0!fn#`-#l2n`jXdGT~eO
z%hAAReTnby7LH!j0QzT9zd?A-Fje3Yj9CRm0ct=eP;%fl0_Fs3#N3hZqpgKwCK)H?IfuP3V?Yh&GW^fZdHhEh%R*9T~@QDlP3(Qt-70x7!
zbjxqfSZf)jI+;P$`!KdBz&tt2qN)OZsBDcPpSb^C$UB0nqy-t^Xtm}$Dj_@k&p9r{7>Kd`z*rY3Ndm~G?RmVC{
zw(Ce(xpKXAgS4h6=gHeT0eSATUi>EtJZAiSmF;UoTwC+R;&v#R26F~Vd|GQN)@4S$
zeF1zVyV$IJb42^-&}Q>FHy;rOIGYC}Bf2NxSQFkPOax+X<7{CvxvnMC6dAOC|6VG$
zDu`U#y?X>;@O~d06IBL!pEB
zW)pvIA=O~0!a(}55f~^p?DbsDQ`XjcE`1wr20@>cUf)7&Vv?OcajSSk3t!QEaUH;$((AdbU3j)ByvVv-rSvS2K7hvq+-2*XoUi?SwIj_
zTN-TYR#w%rMp-O`nLj$YY9Kp5Hj`X9r3YD2CuXQBKWx%mxb*8iP5svbL(MXvJOqdy
z)vxaZ6@bGSphFyFKJE9V>D{gF=Y9zqf6ZEt15Bre9IeddknOP3^EgCb4{4P*!*t3%
z$P9@h^480G_#%2wUbz{KMfYsl_xhuP$=1wv9t(mH3CubLx^RJU|@;7g)IN{P!n
zrkMfKmT%s26R>8ev+2$+jm*U+G@*e@^|*W!b
zvxYH)m~JzrA7!$*+=7_5EmD&ca1e<&4k@`g#mqT2@9}#E4e1>#y#z|wQ!MjWTyhBP{n%oMrlRB#C3kN@tj5pk}xbypuZWyjoy9u+@Q
z5_gGr&>fN7h5{!7gAiY?zKGqs_qg@b8H7b-@Wp5ZVX8PelYc15btH1+*x$(Q*28|JqqRTDf6Gk(^UD|ilSp&Oq<$3
z=LI(>sm*><#?
zW6mCPu5u|A%A{1PSnDRnq==1BEtGcCYOBds#ElZCgg#E-NTK=T0cx`lo`OAm8_m?i
z5zx_dd_%SMnT7yU;N;a-$<}9uMv-^;V&))HJ78{2YiT64fI|SIP1w;2(tBvTb&A>N
za(|-q+QV95BTZ*;<0DY9(mYt=dx6m6lD53?gE7VgJ*6d_z{lF>@XY5CwA}#lvjb{k
z)szfc7tH|pNtDz*g&d1v3KdL(#goaL#ofzE>^i$(Pwn+myg)#cvb_C9mCs^PjEtC)
zhp5>v1Ifs9{8MPJeK;8JW!->f%s~{_aa=M6WR9~1=9pQh3~>v&Hk&$#Of{ZMpFE3*
z&&-V1)MAhM6ZlUm5ed2hxnzSN9$#RPCo95N@S5~pz3!(*m4Sy{i)>rwe2%4V#1wB}
zFQ9O0QlZYQ+3r}+DcCG0#T7INONj>a8^>M29hJ^DGffj%Jui(MVTo(-btRP=E4Z
z*>BmP#*Q@wYrXxtE9q~9?D>FxUca`mZeHdX2yOqU)+3^jhf5d*yzb&e)YXS5P6l+T
zQFQ?5IotP5%kcD5n5oJ8MMo-JCvBvA>QUED`5vYyi>f``^=Uo(?DqZlQ6{}NC8D*m
zy?-)=xldoXt%Fj$A6*Ae3!Be;xWxrjTvY2^f~h*x=~Ng&+E8iy#CN449$FteGj4pl
zxh(O8B@yTF(mVG2h5!*7?wa;4;QQn2CfrcDZ>jpxco6_w(l;d_Pu9sSfZaB(T`1T4
zcYjTIV#gFTdUaKTzk*U-nAyc=dNn1U4Z{8I(mx+#YO|6LprDjF@&
zf6yT`Jy;LbLfC-gUNPQoEB~YuJnu8APX_7%(PpB0LTO6X$}dR#Q*(6XHhnfBx*r1xdc~KIE^q{BVfN&2Uo)qd9mB6
z?>TCb4kH{Pprs9?7M#%s1dDR|V>;jVt%q^+1ku1h0~%oYov;IN)d=^}BfdQnnd1_@
z6j+Mer&Gpo{{Xt6(aMDbI>%ugnU^a7_U{=w2o6{;pK1nvM{mI^aNnU+r0)AOe$BV4
zp2RCeL$jQY{^pLN$slIQaMikb@<*N|X|yH*xkgcg)eGixgM7ecRUdc_hD-yICh&UB
zNI0-13y(M=!$p8QMuYwGhq0axK>yz;OW@N6F+K8J@M0F4k
z6OR*^kZxQ?@6*dZ(u8N@IXYeqI?hur5lW4yAd6jILwuu?JkUcH~z>9hHII#
z)sgeX(x<*U`L0p<>WHfq++p4f^uV~Z5@^)PjDG`KwxsGq?L_ChC0u3In0Zf!
z$%xrnZd`U&ev9y26Q6bipAZU|o={YnQp^t(coB$!4lXamNQ-D6QSHXnFLCVvC_EK$
z{maMbo7L7@3M|`ambAU80^jNSU37V<
z3^owNGrc2^XDIM8(IWs4U0(CGrJDFk%j+vI{6f^;r1Qvy9r+|6`U4-dH!WWg^Yied
zihS-ZqZ8nnIc-Dj0N5~vyKzZ})*@I_hpPw>)eMjeVhEjX!TH^Y*IiXNEav;MCqFkN
zbTh}>g~pw~X$f((q7g(-WC>krG){&HQv%R>pt7pvwiAH{U1~CSDJ7b><&WtYT+Fj5
zu=r3U%ZQK`cdCCzydq!}i(b23d~sK^4Hi88Z`F2Q;Q-b%Ox~lR6Tqc(o0!ga^PG|WwWsLi2#*-(JN3!|fF3CAC+d?LBehP@gKo!e5iaU(y
zzW3FFKW`ttG9y#p=VGR+x{UdbhZR80E1w_RXX5%OygeOR0DgGefgjf>zoITkp&<^+1=#mopO)E~jRUQvQ5r+i^0J)aP^9R<629|O^&e5MXvpm<(7g=I$*2uS1%Udg;bIo~}g;E$hFMOB6
zqdhD_eSu3}&x&5oST%sJ$X0z)GXg2Y9^}c3V4UjOo^c2e=+;&R
zmITzP0{CTj_Hfz$bLs3+RUi|W8~~rgXVwnNgF(RSTe$V3@^dsSmo(Z}L!OQ|odfuO
zk|26y?ut@3>F?pfAGEqjfmg|8>RBtb0L(Z*IGy#5oYj
z73*cnYtv-`3L_yPTLr>xY>d6sES$po{5xCG5ml9y4MPp@4DaoAH
z8Lh9a_LG4?gzC<(vA^(w3iSawdS8Cxz9@O{YCnbDeXcQrcU5u;s`%2-_FLCuPhWl$
zj+?@5Pr&|@#;%_d&4l32LF7@(`LVOO8nvSPV8-2*%JL{!bvrx=IYXC$kLk)E;$U?y
z^@*V&m}av4P5PaDJoyT)xDm(u(RGSWzx>cFbhfu4xCyHCMpr38QRzz+UW4QEXIg&a;LWA$q~mos|G@Orp|Z5c<$a8%T^_D<
z@_yQ;H-)cv+|rSH>LNj9Zw$9EbM}6{e`%+zDOJqW(zt)Y1GI#}gIpiwsX2p(7i%Fs
z>%J9%c|P^e*0<0yO`|2Rp~wWSD7HT#FjSW2I&7e)>GRa}nMai|Sv$rrC#Qa24tDp{
zqY&?$fN0@}H^SGKh0MwlO&Ef6`?1E1lUzkbDQo{Caq8kL&CU%z22*Ht5ONqFaU#fd
zW{30)GUeW`Sdln&CJi4ZApcoI^R7UdcJ-Je6|NU#4rB5iMs(rEZirek1Y;A`Vk^~H
zG0jg8q^rpsZnZBnr|uPx4$}fFeFOOgUi_PlwdVn$f8u%Hw&MmicU~
zH_cM;VZrnvT(r2vNg41DdLD9w9l2bBdT5lSUL?Q4U*d6&o*bnAXQ`$T$p0~tZ`)*f
zK=znxy}vB;K*3O+E5Ll8?h*Cv0kUG}l7al$zxqEOO2mMfXE^=eLt-zink9VI*JrVB
z2p5wZhR-VDkU3=o2=$l730eA=Q!sYhUC(u}HeHk;>fYy^Bn~Fp$5PC92$h+=)j6Zu*uVIiB
z{GuwPpWXKDohK&S4^2YZM}mX^{?;~L%5kVH^OfVteLH{3FZ1ru>v0I$f1+SY09Xq*
zp@g7e0vY#$8OH{w3mOdjO-iDUqBu}5M2Rl1h~dEV0)Qh-kVbpyRCg;3s7Kw#jvr^`
zRop$1#dd7-Dyn%$_Bp?QR<0oia*IE7;iRJhub$q4ES;9oBUV_P8jM;lvf>7F+OJ*@I0Ld
z1WlDk)@_n}_Qxt;KzIZItJ5yvXda-(j(+LI+1VRHAH7o_f&a+yVky33VlI)MN9+C4
zjsvP*;9#B&-SGZc!)k-|z~^hDD#mpB!0&I48h@0ouh|FyUu8$HKm8XjcCAjf-qfAf
zyXg~+M+z9&wG;~nx~_|hNiz?f6o4*JhS}o-<{SA=gW>{}@+GQ|qzTZ)DG`M1$*}~G
z=vv3ie>o`_595F|j0@Dg*#6h2pV&*r|DcTypW{7P
zjv)g`CA+_<_t@fWp(e_e9Mfl#A;3V3SD~d$rCejxkzN=V_R*vfY)jM&WrSqX<{qPTrSw*etQ!BSTY2xw(kn*WJ<))BAR2+-l<4q~N^
zYl1fZN!Dt1ho4TqjprV&1)}vw)bCXHj4D;a!I@^f**A)1YT#y;7#L&DNoS}Jf)Dfe
z1Oe#UsI_6CAY5IVnR9iwCGo$VS5Yid(@qCVNH(}L^tHnI;o{P~d&QxKT%~EE&g|%;
zq${93EY5ZFb$Po!wQWT5+`gEF@XIJxwvu}XYx8j=S$YV??hIR*U+Rrc3-H)ZjG1w1
z0y<|r{QtTNcpuk8k7R}DX*;~T0NNK06-RM8p6Q^nM96U;Ts!oWKftmKb|+?7@XW;+E;}7raLD7j
zTbB-9HR~7VEPCpO;B;XpT;lDn(>PGqYX6ssgfH_|`re_XA0QXE{WpGoZ-2-2ZK|&3
z52{cL#@M=MFL}JhlHVVM<3fM`&6oUh<;oSM1a0nbpNb_p5Hoe$agHheF*?JLXB-xvY5GOZNt*p|
zHT1xo!)lu}d}KXZ>Iq8`Y>_FJ#fcCU$QZU)H+9*r7iO33%(~m>pU?&^32+Dz9Oi1{YmRcVWP#F1SyVY6%v(q9ow`KzZyK2l77VnRo7x!SLD=)BpimCCw_2}
zxn$oG?INAg+iId;I&~%cO7)9u8JGUDY5O#cvJ*Ls*p8d3rl__$X|<6`w56)lgRR9&
zm47OU9&J_NY&ArrxlcR#@&cHY(We)}>A%@2l;z^t(E_#J^KJlAiA4J32=c#y0
zzEhJrrRcU8X~_S;^V{T0WsaAsjxu7Hhkly1HfY|6T{5ckR6x#&L%|Cs`lIufmt2Z3elFA2L)b=x$c=X0ca^jb?QdTEqd&u{
z;=XL~)VY4AzXX4wN2zhlM%?*N@#o|pIj>6VpPb#AKd5-2AUAf#S^Q1Wr@M`h=1S!f
zKZrSksFLxe8PpW}4=rK96z(iL6T;|Iwp?EF~RIpg-SVgdZrbtSL!m{{cEM1lLD
zAFGU}vii=^0XwWU?|uG{l8w+7)+g)4dY*H~>h+OOQ@?Ldhwpx$ej=nlVzd@hv{luJ
z)iG2qP}#FT!gF6XIR07Gnr6EHfk!2P)#hK6i3jg9sv|e&oY_
z55H$&)L$ERk3A|zQpcLVB^GZ9T$;QgB#Z8j40RSOnK`xoDX&fZl){7JrqiY0E-L=1
z_{R5Zw3V+X_S~maDQ7(&S&6imX;*KD**#DmH9f7ZKR)gA<<`rCs=N2Z6d`F?29zYN
z53DFMN;C82w?h2wW+d<`wPM=$buQjcMSebWh8RmPB6VI1^w`P9-ZK*Y)N-+h<#n3&94%oMzTQc=WP20k)5Cd3B6R<==&-&GDatS^
zCVthyxJ~Wem;Ns=yaa;3ArubW?O(FFrs#5RG;{^y8PLI
zzJI(}mZ`R$cJ_mFGQX$o2#b26MvX@NU1OL3Y1y_WzHbTs^wf3K#p8-hbC)DW^?2_G
z*Ym#_B4^$X(dwc7d=`rcys^4SyS7v2)j$7UpNmL95oD35-a
z5%u?nvx~*WHB{2+-m~=#5j-L8xDaK&Oztbgn$C@h|3FzAH2cM{|M1FM5R0)8P88D$
zigfcWvJ#Ooph*qci^Q3!&Yg8o44Mjc-TrV!*E6Ny$z{Au>JcHki>wsusf$)kXc4_6
zb88ZMBTCTH*JqXz%0=sxPrKrrx<$CG>Je;G7_8HsYO#A!BP5x4Hr2Q9n2P+V!F8+#
z^s?i3tQ(fh+m~jJN;?fTjW)m}-OKn`Zmx1P!@oT3NVA_rMY2BC%j-v4a-Tt-l1GkJ
zVo98qwadA)sVRL5LGkig#*kDjHXZ!(+>fcO{&VTJgv*6}s0cmGec{7wg_%^$h3pDz
z(uIw*6a#iPkk}N52~xr^e|l?h=01e_Tw~=NgNB|wo|~JQ>mrw9df{?VNK8sg@WAct
zW}@>GXuQjE_S8sP@wD5rb#UyxT&z;akqy6oB`uE~hfHG5tu+iqKEIR^S&X4x3$RhM
zNQ_g`l9atd*vl-P&iDa!g;6~|QgfUjNoa$Dzz=z(9-m69#I?dOXxp)MC9j)uRJ2H_
z;7jD6pOM19{C!iC76Y${R*IMx+Vts
zEmV^>xnp~_M)%|NmVjMzB99whQ`u3_!>xb{pueYc%6%Va0yo@4fQ$EHNkiyO4
zo>3%8HjRqhrS#rkOlr2EOoMFw4d*{X!VmVQ1@YOpTLxm|Pz6E8-H;1m*>;7Sh^
zE;QV|_zGK=V^&nWR+6MlXe=qA89E}`lCz-cSy^_Up=HY95p$(wMP6pVGB3wJ#T7O
z*-x|X=vP0LzgnqvVm__xa${vxeW};Rm5W39SS9zpn1reOVTH;V)1{E-v&TPWo=@i~
z+n!I{;U>Sih>cacV53>1rdw9LE7@R^^up#^Ztr!vmm^I7utZdctY#2bNt23xnpN#7
z7G+se;#`fnR0Bj@wF{M;YDw8DwbP$Vc(8h1+MpgSiV=i~cpuMc<`Jo|i5YK0!>w$N
zuGbrQ)hmelV_%Cbrqv&uv+hsLxZ$4O6lMX`+T_QdHxNB)Vp|uUCc+F4DsTy@jt}Or
zVUJ8TK5o2b)7~gF*m&TTZ?V&~x?21Do^Q*3Vr#HvHl#@m?S$*%r_MDGfN$a5Ln@j)zv^r
zgOu*qB5@h$SK(fh4d~<@g_AG+EEPJAy}ll3)J*@aH2zwk^hlC?BP5O7VMOHxkP!5p
z4oCK%=vRm8Z}t^8(~WMP{vAmZtTQU)zVo%y^GR(%tK@Ur{AnXoCb2N5-N2m8HObMg
zAH&fD0Agef$AasnD62bF-j5q@t)0C2aru@f8ZD0DeThM_YZS@D8CLJRW?vrP6zx8y
z-7Qd|*4oBS7IhjFvKtvXjsU0hDPK9eil5#+ByeY2#8K{N$83>ZKy5cFplg83G%-zN
z_K2%-_OJleke)2lr3DUTACaBc6V5Mdsb<_54
zuFJ7ID|!%=*6B5($HUOuzjp6`Flx!VQFi}9)64!E9nS$rtuC=$p11w6w{pBKM>UaliVg|0UWziW`;bjj=0e2JnyL+VzZ+ZG3NqG3SH*l;+t}#`r{Z8&5t4e3B
zu7p$4z!LY`g=Cv-seP>Vr>(xtKQ@iT!-s3#*5$OI;@^?gP{Hq`Eu%gUKG_aDS4ja4
zDA}sel^`L1RH_F&#ol<|eH?2+AfExYQ^gG~-uP`3_U(a4b(Zyygv+y-J2~Ae51J=L
z`raM8_}cvy;e(0I{#)22Od3NN-D!8Ugbs%R`xy7g+4jmgud6Sf-HFic^+*TJ?jS1PZ>&C&#?FOL64xg1DCXU>B
zIY06u@QnO^Or=cioo1%FvvsKP#Xn(($exYb|&)<%fTiCI`-+ea*Zg4OtC={7NT$d0+D4!+_!|Kb-ab
zGScaD^JB`@&t5zjHJozWO04^ATzy=%{*x$UyL3eMzSh7KOd4rq?JC+klyP3=`Bpc_
z^oh~@hR1K)kG^ZKh+l7hvK4IFHL}DD{I_${5As|;W)y|$^huoTM?;N#;1Bm7atl<^p0d{9;-!rUjx37Lip5!N~Kkyf!K8ip_1~6Y&zWSA7B0
z?mWWzRfEaoy9!pZZ?5);L319)rW3gf@P9+1bWA|@*WT21+$oe$u2^0`Q8^=P!IwfO
z-XA-?
z_Q&kKVePx}GxvNvry^U{Hr9LNOiGJJoeBqPtDddcJTttUYq}=!q2|k>hkfRzUHF6g
zFNX7-eLNDQy7&+Hq5McC{Ow!@t8<;D)^RS??qPOulo9(>~;_u2w(!Ebslr*~|v~p^sctm|)qGUHCjy
z|I4YuFLr5P7EP)@O6r7^K2G6Qx;XlY`RwHH(@ULIJ^x~KfQQ$c93opxT7%uT`S?F?
zUl3uB6)~}IK=)kXxOFYk!Zu%bI=|+t=+{RMIlGopJK}$9LGOdx6zdN^If+D9C9->k
ziZuRx+;(#E>#wHW2j6RL>RhLOWq$qguu=4j;i7de_i9mH->-_V&ci#bkB1Q0gY|Ef
z-Mp8NX3#51ZFiy^m=>bm$mFLmVZf@HD_ske_lK6AGa+z1_dnsl9Yy7w9fn9x9ud9d4m%V(V
z7xqv5+c$!K;+EWR;s5Wf;@{SFaNn?-o{r|mCPMYIok7E*qxI6JNw+G
zC3U9K;nwnToh|Nvca8oVd7H%%E}3%UU!KEmzr>-X6Zl8op_9g|gXf2T{~s-L1y4gB
zX_*UCt7i27L(5#4UbkdOS>(!k&1_f~{ckOE)3!t-_*t#j>^u7k{lqUDi?c^sCO(~8
zZerKTsn+`1|D|OP5;CeB>bzfkaBC5~j*P0cea*V*HJU4TYF_m@@lkP|3>$OWt0#W*
zSzS3=*V?Z3a7?0YJD
zM3NK;Kq{^P6vW6^9Q4~M(jbhVM1lcRB)loRLN^L7ypO{@gc|N)4d6n0D-4YyO4TIyR%l5bM*j37u@Txx5?i;cI_iom_t
z?wk7CUdat^PFh8I>OXKE_X^*lrkl8jv4G1m#XU0O!y8|%0o0T*MI5~axst6F!z5cO
zoH*FHDo@l;LjsJIeuQisX%iv%8a-x4!T{dk3VP2$MN~o2Y7rZtT94wO2O{$qnGB|*
z2_*oPUvIn@%sF({zqk7SPf>EKHEJBTiLe=jb;{^fN2FP=#C*KHUi_Q6^2`JuEucNF
zPZcRE{~deS`!Q)XW(~J+KeiU+(H}X8d~O)Z9kp{Ie!?;4HH9x^syv-@NUQD4luV5H
z*QWEC<?U5%t^)
z^14vv-+{5^$<=Q!<*pj)ZFPk@|9Yfv`RDBC;T!oEUiv?jO#C+c$npHj1It$_Kh_`S
zU3#e!mfE|#`SPT}Pp#g&KR4G#RVIre>^()f-{jI1f}}!~_a8pKL%fo0y}ApOJQR5sr>;Zu|H9i~
zh8YV^P%5DuzG%|z$H=4AjW%BWE~z(HEZ#gbK^=sBxjLX2lCQjX0Rvoaw7{O&JlFQI
zVzFJApe?wWZg1o#x?EDE)Wo7sMmhj*lP#-V+s}6l2OhgTG%Cr>b~RNt$bPScr6A~>
zuj^mKCUh`fx|N^nM+=hk9U7H!o+&7|%RoGNZ{=`hR~BaX2BD*5{P
zqpf+Ry|#`phS2}g(^-7K0q%lx=*(mgxc?lc|<$UX9v&HwF4^FWyhsgQl8WHzPE-Zw-Q=&`h*gn^<401o^L+$13WMMU+a;$#}}z;DD&BLAo9hU
zo6*nu@yCV8Q(x|%-EqHFY-n0<*Vny0oGqb}EwU8zYL;kubwiaA`!46^sdK5VNeUis
z+Nm7JOm>6T>o^mC57@sB9%^B|P5t@X;Qae1PrD-D4mcg)HaJJ)4v#qw^dB6Fd!dh>
z_!vKV(7pWRhU3H3k$p2QlhEHjpAvopaH|`M;CaHeD42ZXN*X78lbT`y5JzadnH$4Y
zu4h;Mu81dX&7`Bjan(E)vS?|%HNXhqRqY!I$ZV+Gs>U16>8#e$yw4;(sYyw3w0R1n8(HNhLkjXBsZ)zfJH^!$a|H2*0NQbMaCrCH>oM4x|)%^3r
zN7IWH-=3XZ>p?a8%a!dj>a6QM*J@=Xe}C+rO{F>tzM{|O>d8&AM>Ng}n)`Rpq{+!t
zuGU{zkiH1)EJc3HF%_qPfLyCdM$YeCqnkPW`PgBq0zj61qT1_)
z>h0UlJur4
zDut)E?&IyipjN})?pKfdag~yV8lN5W9uf$@p29yg=PoE7a#Yf}A&N+c@nHM)-`^FIQbR;G2GHHH;7k0B&5^
zVm^G!1Qs2LksZhB0&!_RiWweJV&nhFu5ue(p{AHMbRXE$M4QQCLmG{9bKj9!(;?!z
zl1B_a;nQT7mCgTsB)uAe)$Ng+EsA$BBZnqyAb`IeWKI(Q-FZcpcYugr6dpG;$XEFX
zB3~A+D5xtSS^P({p{t<{haZ|`ejQa94{DF0}I}
z7y=p-c0+@hb9AEK@@LFB?^CNd6w>myUdxH)W-Hz%CjQut1_PXuRwX@(vUd)@n)|_v
zX5__4Pv52Tf~Vy?cxlo^N`6)mol_ZnbzJ)lKGtWRQSzwrZ@#q+$G5tgBnuOP&tFT%
zFQ(lnOTbnaIZ2(wpv|S@JAEW+1^0Yj%tA$ON^s9gMShsQnPzPx9F6t5WR`vG)SQ+)
zC0+(kqU(T&9MlC&)#Bcw(VgK#3+E4=&c$mtJ}u3Us{AS}HLD)e2FUCV08XL>Aajts
z76m7$%)DK&GRk|_wV
z6^F7gcdYFxaXyBy3jO=w@Q#5Z#BvsMB)pqp9Quxnm_7C_${8dsQsy70lVYa>8a@n
z*bSpxalGhc48!;kAh!W=Lt0fJ;Ee(3h+;^`HMT1O;~4HDH-Y0R2LhD(yLpj0bBfn8
zYc9jLYoj9b<(2kcJ35RY2)Jn8A`EI*lh!Q}UUXVl)1?f|1o_ZIQ9py(>;TM7V5O08
z3PjdNKyUoEYpeYw=$YBCWfO5}yK3jEU7V(}bak{?1WyD^#>&5f$KOeyi3A16{~?1p
z(^71`j^}}!oXP+BkDsRMOh$0b>$n>Q)W_P!d73gZQ;kX
z<=^#>A^91n^An~KHkjLr)Ui?7EubG5H%<2KTlQ_0HJ55>11hcZ!-?zSbHa#tKTfjF
zap)ocb0!oJ&s>oFtvr5ROWx*%>&7g1g40F$Oobcd1&m-eJ7H=N-Ho{-f7F2J9*w(x
zX>Zfj#-(CPy33ps??x?h^44uPl?DvW*UDDq-;xfz4cGqnL(tL|?DfxI$
z)1sSpQyy6nNZYA2!P7@$CsDxpRoK__)ZJ0vy0g-Frm0A8J9WYPl+?FuFrMzNhei6o
zxaRxQvB_tWTM*QGM>9L+91|=czKTdnP_Ki{_ygFZFNJ)(=wSt(m}=hD01KnoM{9xR
z!yh%lReF#wJ`{(!cSZa@O*`fsSsbQ`^uVq2ScOCFV^DPP!Cm}`c96P}7V^j8n_!--
zGk0-+lQH{H36rZeJL%6GRs|iSPnv~Dss}7SR2JPV=1E)7mMq_p(*+BpCRkQoZDEz2
zPjTIIJ6nF?+v3S;b^JY*m{}hqi+xGRKprzv={W7K7&hq_>&efZFHTwDb9WH_W{J%w
zVNl{j1l?QR_iNk6D$b{syPR+H8(|gk_eU6N<qSht#%z$X4nlHAjD`=j>l4GEP>h640T#7ZqwYPn+BaBS(2!88vhboo6=
zd_ha1Ctce7JWLA81EvYYOIeu$0iJa84*z>Fpqt3?<0wUSNQB2JqT+yHGxDXw+Qd>>
zL4_I$szd3~8N^4SD_0bGQ>`v9I>ow=qig`G#<&DF40Vc0KY#(xNPb{YdJPt3wqo6~
zkjXI^dE4`JKjCz)C2G_&TTO~!%1V;>hB0r4s7$e8Szw!^C?gqe1A)lwxClxet(GWP
z!O&ng$(%Frsuhl`M*1C3xCRd81F&gbO%4fjUbnIfToXv4B?|dNHIfi>!bmK@$do}P
z?&pw)9oCX1l?vj)(;VHbQxAxaKVRfR{ozES4RFsZS2HMNC|0;Mlyf{iaTg;Zg~Sqb
z<`E1ZK6`kE@I@+y-vLJlE>;Nv*iJB-nCr*!58RE(z1kUVROLo1aQ7iZNqU9C!pp4o!F~26C@n&Z1c7@Z^Iw%
z#EAD~THk>J!8^3S3aD3yLQZ}ta-nt+_n;S3C;VDckOZ>AjOvN4j|Nj9^hbG*Q)JcW
zDv0P1r)g3EA)w)!q*EDJk#(D
z@(89p`$t5uR>@TEJo>?+wT0p_8w@mch3&1i^*ExMOSHOJugpTpKgSxqktX#ROn9s=-yp=|x
zCa#@zb#9WzhkDoOVGX>~{-eU>ya=F-K`_Uc(lV8(O(=t#jn?cWDY9UN@^P7t!pDt^d9LZQQnZLCfK(lhOg;>+I+W3
zQjkokF7dzzWTyVGY~GXI(&y)a`-{Dc|1Y#5v=80Vgt}9dX;yvfX_LhBrsk?&XC%UF
zQG&U5O{uYiLA>}TKQGk72(%Z59kRvdAECZg*7npN)Mv)~{5>i`TC;RB%CpDPn*D-c
zM?=w`bL2!VJ0%<9baTZE6{{Quy^pahXywJXUNBR~1a%7KJFj*hU2G+K@VCg`zy13I
z%JL9fBqU!c{cbD=#9cx7O!gBZt5IgtuI9-<=G6_oe#u
z;0y~c;ZoHZ>R=ygwd{7C6vyjxP#Y5T!G1TsgS7wBOwHniEU!z_#{%Ccc-7_z)p+^g
z59qfWj>dd#+wbBdni~EK6-@=;HgR@!r#b?f%Ns|@mi3`$?_a%ss#jIFT{7SOzef~d
z4&H2z7RE2qR#brgs<^LXzWT(K&n8>_&s4kEqNd^!sh!2zsf8Fz)LnFBC=DwJGTk!*G
zC~ZRw-5P19bD^Q38Gqb}caq6|Wd#uXACC@lEevW#YJ*5|l%Z096_EJ~=qUXs%7R>6
zQe3vRJ|?dBLj_GrQq|KPGLL`wx;be2s`OtdQwHBb5$jjKNTk{FPGV4M7?cZ(&2Hta
zs0u2i9a-9Vmx_dcEvG%$e$aHUTffI%>YHv~mzC$GzxR2cJ#i);{(iV;m6!b*
z{The5d1S|;978#PjYO!MA<7mA=FavV77}c3xOw@LgQ@iR50CrZ^Q6F`+8c6BDw7ub
zqQmyT?s1^A)qkK^^C6$*P}^H5V*4d{{t;aSbH>05`P(9Fo|GEMJ`QsD9Y_tmrO=c;
z!Hpgl^M8_gMq0erL8W8JF0x6YKget>6PiyR>+j>A&U|o=1BheiUS%EGtX~DGh^C&=
z{*yi8ca+5S)<2HMeeCt*9i11)q-^zgu`v(Ih8|VGB!5D&!ohBFup`dy5hvh*v+n6f
zc>u6{dDJuP;}HzXcLg=B6W|tiS-fH>;Lm7t@a>6Y1mK^HEs^!mQr`fwiqWb3j
zhZLq4MPObeSj2DGyOu5j25yXnxwON2OA5_C(GGvbu&riodQ4&${GHn~U!Q+0M`_*d
z<4rc4^_#yp(>t4I8$XahJiUw>?0Mk?kMbqLPBOu|ShyV-2mz4s0NYRt>PUeL?}i1f
zAn%gdz*20>mh9;)_z%IV?j#F$VBn`+Jm}Yp*!!(Nn^92vdAGnyF<~Mw*#qe2mdy>J
zR#~UiUWGQVyH*uM^mjDZ~zOVVNloGn>>KU7&Vk;1k@{Ti3@$_wu}17
z4~y5SPl=ymF=&?0>ydD8n%LZPh}1Sv$JW2Ktx|1>*@PO1Gx-QI`VU?E3=-%c)&Boks6mmD`$hTon#
zSN7bC9Q!HqLiC5qbleM@kB+4PBLD6*vY0%v+&-6~9M;-RD0#c*d^@NaO=_7vXjtY1
zQN==F7Iq^USE1X~WMY`VbXBc0M)JByI!+&*aSG;(gL=2KwW1KZjCc*<4a4pshr8B_
zns$|~-THf0s%`44s_RQ`ytfx%z6{usV7NVM6-t4LaYfyaI->XTpdhyB2Pla#25fa$
zgX5NL>U+2E3a`@TC(0~S|J(FC8|9aXAP9Hd9oO_<{dAM1?YBpy(J39qmDX%8qtD+TVgk3|DcMeAWQDB9sAb}BKMw2FJlI!fjgf^
zoMuhY>weZfcVF|0!)Cl=eiyhJNq@v>r8BW5yKK`JgpaR6jy4+5FkL3w
zpBHe6_h0$1muuc0Rd*y|k9}|9MmyiwY5nNM=RQVqdV?IB74}1Muvfo#xC0*i#D-2O
z!LeBqzw=Q(TU=1C{j~es<7tpuvaC~ZfW{O1*E^@bP18y<7X;pe2iXWLxI@^R^r$Izi9&RHy5F_!&)J4c}^>c&*1
zK>nXh%8r5NAHTzY7UvH~=ii9ayk^AxVMlKD5&(>#xPTRoErej%!~3;|s6eh?pC|s}
zD33^4O}U(c00ovMaOCFpES}vV4XT6!K_KF$wE$J1PFVXyYk-9x5Eo5>tc(*1;0avXh3tVLYjja^d#@hfS%gjyUk;`;eo#C3~U^M8wbg(el6I*)mqCg?zI*~Nm9
zy7^)ie+RX)^cuk;qdwv80{734!|&Vt%7l~I7nol62rUIKm6yx)KtVe6+1oP}4wT)C
z6CU3J#&RT1s)q}A9;HS;FUe)3bXu#RZ@+HrVXH3BG=5evcVX9E+fPD;SIoTb`@78J
zhraJdA6$MwKMB^lTe4nn@6&M-n5_NG}EV%2*!{i?}BPK8I&i{S-_mB;X10jbq9)e0c)gP1&INP?W
zY=|9~YH3N9Rs&jkhH6ROQnz$^;GorR^v}n20}wdids@gik3YDExlfSrTD-@bH}B=x!#Lst&@&
z_?O$p+f?0OLsDr@L;SfI@pVl(J{K{AX2*<~lC_)okiP9PUJlhd{rq3bhYvHY1)3Wb
z+P1bIdut;7Ir-_(`4Fl%W=%?^&r=w%!?uo>6&X!Cl4{j*b5$}c-`$TL_pG#TAH^1j
zhrMn)p_Qdjo4k^a15?OI`6|zVOnl6|u9R6NMmn3rHi9A>P;)TC3^)>Q0Iw7I7J@*J
zRp!o+y{mUDrPp`jIP00wv)H%S`F!eEs{20F)y3*oEN>QF)vZr{$TH=WXz5?e?5f9H
z$SaG5li4JJsm>aoR|Mm{W&QOCn<7IEqekv&vysjxTeOS$XRooYnd%otXPGUw}c+@)*J^G
zR$=hRP>BiiV&OU~t)O2yr+<1}Uw%B5XwwfhC?w5V>4L{goCt{?hI
zqWrEI^Ga_l9#!>C+UvwECXg5D@U1=3$U~uqMYSdL>Ta}k!
z7#4(mK2q)!oi8h{^-k?sH1ONb{IQPCl-wh7NQ1%lmKtMshc2RmkbR)DL`^(NQBgB%5>;H@4wZHjc`I10XeNzYHVNnV;
zddardY4Vd4=DYp3^Y=;I=k(-Ml)W$2vy&{KH7!7L-6QN-9lrAmqi=sqOeJW&P-wX>
zYvh?0czE;eHvhS?ld18H&rhT$e_c%i&v>A64{@)6(U*+h8~lk!nUTs#k8uw|E(Jup
zfjC)@N|-V$Q61V9gLl;lQa&rA?8}uRO3Y=dMiWpNoP%Yu*4UE%(L&Lmi52
zzk6xYw!86$0Dcrp{CMZ;<-ZOCBN9M(xnFQL^R5hDFNUI&tIF#7gF&H_(5yMfzCiPiqXo5>@?@yX^NbYB6)?yuw2L
zf1wHvg>OCo+<(&Fek18lep)O|uz?X~w=@RT(5^;?WAB|SGUnGCeje68sjJcZ)G6hH
z(fZJz?{2#f3e~UM%-?mM8tQ9rRtyT`Z*H?vBjlg?Rte?g4wqh@$9ikIY;5J4+?h`>
z+#A@~czN>eM`FXv%O)3oU>tB@cTEz3IV(OZy0>swt3Lk^xiH3z_WyHq;&q3p)JLr
zNDuN}GvoX2Ej==Xx8vl-&_nwrE#sSIm-;epqOygH@DF}vzFBD3OzZJBzzvXO#Eb6V
zB=)n*rk5@#0V~wQOhkrodtrEU-f^RhOS}Rpea!_uLn%*&9!SfVw+}E^3gS%Jiz8SY
zTT*v>@pqBK%6bsBFkW1bco7+OsuA(1xzD*2vFK#L{)AGE^6|;ms-#4vWH-yV6#o>r*;i>z23L?}hxae0xxUdH(3{cDaxN&MNu(OA_C9p>re
zHTYa)^?Ac9gv|nRd@EPyR~p|w<@Y-Nk-^l0{&c0@eP0{)%dXB3AERYH8yx;l;QYA4
zRJeo=j}vp$>u?IgVE4ywZKY}Hk;O>huB|lX#!0UtdA(Lgl@?P^uV!=KY<}Zeuj*#l
z;z`AB$F_^~kgDx(HQBFGo+9s#`Mo5)b8>6m`-P|kS!~(m8+B**a>NTtDZm^e+tO9le;!60t*$UIqJ}P#o6ue&}m2a
zhX7e&i5^BwFYQfJoig^X>lq{GKJ7wk!36x|u7BibMhx?8>!Eu;SVcUrW@+=;CU6)m
zgB=mHuOKp(Xhr;t7+K0#e??c>mptsAt;^3YaaWyqkhqhfs}uPmgFL**ir5xKzJ$8d
z!55(HVqtHiBY*8qxsmRC?%hPmhDyWCeSbFdyz^>EqxxV&L3ZPPXjm_;N)sY$MQ#4Q
z{>Hc^hsA(#QjdFzqbmcjWc3plADQl#?sevFU8~TdLv)A_}$bMNpi+6dby60dVlX55t@#u@gF5RZE1!!4O@p-rYs|rEX_`Mg^6#X-YK9^aa=s1j
zwSqE3KxFl}j&3bOz6BPvUdgc%+f$-B?m+BW5PL+_NyR{0J+sqJpNN@4uL_xt1w02t
z@mEwSDJ(d%Dxai{K$EmM0Meo7z=Z&@r1|xdb}Th4vgJ?uQLRCZ1q%Ue(zFV481HfF
zme&QTX#jv?Pe1&4ss471JroR3n6_Nl7~shJS)d~U^661cj-8O|g?IEG&I`^ZiISnj
znzve>57oJ8MOL@1;a|l!2K#Jp9}6@4z6w#Z;x~#u&3sDc#3I&Hfr3Ud8{_NypQkri
z{&BxNg$=mUz1Uj{y9^o;d~JxcH$&0EZZennVX8e##v-*C-PpX(I)-yZj>%lzvoutn5
zfz~bfO;MhhI@Gq{4h;nbOi}4)U(;tTN=JhTHIJ!6O`shw30HQXMv21|m
zqn*QlZDy$dgp;1VANcHlw2GzFSkKXd&`*pnWK0^}F}P#%^#{vA$AMC{0Fr12{r$UJ
zY2n>uK`A8~reQFf+cSg?4cUbRqGKj+BmDvZBm?AR;D_uBPc`WuE+V~J?O*{Sg?B0%Q2ZFD
z`rMO8B5{O@OWN6BO^$d^rvmN`QJ$65tP3ld-F1STKv6YNRL1@_gDp-sUF20%3Kd9q2VleFl7$SlB9BC2FWrAT{eXvIJ%8p)>bD}sd#x3UhGId1ZttPIjj?KMHs4ul=LdRN
z2~`LYGy_KX%sR}@57$bT%&V?b8Ezp56`RJ?w+YE+f$hf=oO#LtzBOI
zJW5WN0pK6;wF(CEJm;MBe|DE-djpvK@t};Nh0ZSb6wTBK=VR|*cEx@j=sL(YyOnn7
zYr)+?rUPc^#lkUZ$#AH}d?KL8%d2{4&NNE_*g{hULw)i~aP2m4qgU{@K2A3-
zNoDFuXULU>d0$i*qWKA#d;_Kh9mac(nY$!wTSx*Ir3nG3>O^0!tZBhfL8*h9mHdI^
znGvoC9}vN>?w}*%7_dciPsJ3M&@!=~r{qcw{WJCDFF@}uNZXwpxRx&*u%*EU6yW!c
z!Yqx|gd%k{IN8PkbkxDORQ5dL|2T(e0{*pgo}pK8BUc0#>)g_dWnvO*!h$0Dlp5UK
zM5UueL}>EnwPUXCg36WCA?5bawa0?`;1xFBXyITOU~ji-T}@LK<|+)Y9h|nk=^&RW
z@5zdni>x2`Z-mdf
zR~%|}phpmBQ0fLLxvy2otf&k~gw7Ge3r7%sAA5>$#pIW2oRy8jHb!cV5gprChq!;gbKF
z_i;4eCslMc3KGgc@t`E%8d%88@7Hh|ABF^9bVeL~c4|<0!@KpSCMq{4!-Pmme>Gl;
zMn6cRn>3zN8(TR4uWqr<54KyfdF^^{=y!j)-SHqP3EfX;%o3=|TVX{${6)b*9I}a9
z8+_5BTX7>5sAyhGd{})#*%jzF*JCd_TdQhPe9rzmeSRtAgT6Ve#ALwr-2n!AV0y=0
zV7T2<=R=QzFE<}gzB%Nc=%L-tGzMsEzc`kcS_9`g*oePiQ~En~CS9dnN=Cc@ES$^>
zmrbY+_E@ogGRAi!EPf}z=^H76aD4!63cDy9WgV$ZxB)eRr9KLO^M_P(|2ij+^j(zC
z1J@sgiqI*!yT6g4o}C%RVH6~O0gtL-q-$A$j6{4K*<{8H8mu@H-9Y}f7jb=jXQmb0
zKLxNa3J%}wR!j{G@V9e~ZxSfw1oD4Ri>zQrZir)p9h^#bS9Ty*aT|h3TOc%Vnq`$y
zWTc!}2
z$5T_EP@;;L=`%~KEtn-(PRAb?_IjzUxts0wFC)35_T~^21h{Ma8;Yz3X;HRdmB+W1mm3_E7
z?kFj}09FH7)^w%}9~%xpBMzQl>vSy%FnssJA^D0PU>btLzwMdgf1X6ZJmCoXp>Y~XxZaU!aWz^veTjhIte+IF
z%8wU4>bRCrMx^-Fq~Ka5Xg7c};4V9Q5R`kRAUpZRDd%k2*zZ}Qs5Os=0Zvr3D?ok#
zTDhjS*hJ_iAJ^F-BYyWpfMx
z-^^7qzhyZ3tdSCD#*08KBo1N9>CPG|Eg`@a_SM<*XI-8Dlx|p`wD3l0@DwN+U&D?_
z8NRXOw)Aw$$XeTUh>V6DTf#zlSdY2w^-AJFB+ig=uzE=9AUukB<$bWZ|8FVt+xJoF
zD&}~Fy0CNw#cG5Nw)}EQ$&knb>9zgEwJSY6QUOeM;O$=Dsh53+!h$+#F(tU>aW(yo
z9?Hz{YO6mNZ-kj>6fFP59Ip)c7oR+#9bl_vv5yIu34dtM@PwL)?kthh`M^*W;RZ{T
z6Sb6Qr2a&ZC3ki72|zKP9ngD^GZPyw6cuJ`xMV7Lt2>PEB745&IriD@)LtP&#Mzd9
z3i4=%fyanQrlI(yFVcrAft@RTO5xm+R>ST&T3_`zjbuVtIh+F|m2-uO$CJj*38-p>
zxn4tGX%FnEgjDMEg$9jbBBVnMkCFGBi+nRpGzELG{hd0Y(QEi#-`-;8~tIfbqee>_i3wYyxs38pln(%T3OMRV6M;_x*E<^J^
zO?sy#{#{kT57Fz%`~zZxs{1SuT+vL#m6@)H`P%NV_~tG3_{BVlqqAHF8D`!Nf+qtU
z?s`>Tp3-o=Rp%{rsb)g^6l-9vgJP&+ENy-R9UgU8G$i(cg7@Xjy-0Cs@(Spuz2FrQ
zy%m6sfe+3yeH@q@z5g#%)f+*xz*5j8kl@Imh+P$dAGGNEV|1^rssRkrxTo}cIV%Ha!U{mAoI#8HJ?
zlz!t0_Y4pMp!i}3MG@no7xB{jKBfnUBkt8O%Q=*}V);lojYOOKb?Yq!`)Ujg=EV-W
zqs0P0-S}CFoG)_dS;UBT@;}~Kap}*QxrmQHLi@(qgDxHe<_3lLb5G-;-%Hqe>7I~a
z)BR{)0{OJI$T-h0J&iDGzISpry`2(=iLF_vKI~K&Z!}!CTuC?$!AsHmoYMz8ZD7;7`
zC?c_7z@U#}OWfd4Ty{~+`Wglm3A$>Ix+$qm;l>VD1TT8(iE8(aEN^?DeK@$JW$g-b
zZh^>##iP3JH@!c^Myw*
zgB{PCUaUHM-e=vdKgjMbe_tt=n9XSA9&DcZ*iQm^|5Jea^dN>P3)J2`8dX#~Fo(p0
zjmkjhNPIlPOF|@yYCS%jpwmFk!@$uu*r7
zhUX)WrF#jtEwi#{0Ty&m3jio@HCN;{kFMRg7bg%S(GYi{7|-q!laV1`IcC3h)AkcS
z49xO-I;f_P@QDb$wS!E%Ria%xGb})F^I70$jUJ8t#%$zR2!}v3C_|(X9E+R4gg%iA
zb=!OI?k?lTADVh*BGuj7wn{AU3L?{hFcl2NY~e*^^9@ZK#LPnzl8Tf=pzHu}Z0;~y
za?jqD0U|UCz{bETu4YuA*o|aQS)aWth
z$Ou_;i7?ZWOJIqML*kf0F&e1K
z^J7!kxHxJ(wn$;f8Z^2&)s7YuFdtl>YiP=}Z2l)%$CzpclQl*ouG0?*nxoscwDK$m
zTU!_^SUOmobBLcvxG%>fkSYnuMFndciYTx}(mekpUJ^`}SfR9ZliMcoJUCF*AB3ei
zrFaM#ObgTj}oAU$)BQl8Z`)>MG-
z$_8ObLSo(cZh!M~#ks*4kQ<04x5o;8lUFcejoI*@_-1LQ2=&2@$!)@dtU&flW`f)LVGwV%D#^i?w0oiP;4YseFJpQO=
zOyc?WaF7@9W}|HsaV$7@NO1@%v4uC&9)SlP!R_Q0+TlmlcW*_4Kv3fh8VVuUPr;Z!
z7EceOxUfZBe>Eb$#!-=iGCDxc|fZect2sd_EuPvm*@eTBz^d-WNzp0*r^57q+YwYP;6?&jAhkuz8JMF@UB}w=Su$YSK9~-<3oe&EEqos3YFp}pv?(iBkTeaP>
zOM?FCI|rYk{|~>Aa6rl(YA|H?7TpIU62sIqnham(v-|<`9}`#)B=`tpekP-v^iK@J
zP9cLsV<#vAl-
zZGLQY{92U;>esfPSAe1|6gD3p=ou?KO>V*5t5#}H?yVH6(-O+wQaTa(jJoPy83
z{I287gm$%b17cHWEH8dfPCf*L4x<Slh0cK8PrQsEEv=Jj8
zDy6ATI5?LUr%UjZ1(c_
z+mI&B;oKsPYrY^F(rh#4EfYEf==vvda;f^~FNl%za?z3r->T`hup!3IDE^hB=gs@6
zb;f9#^U&C^Yp)3}VYt>$pFeBl#HFO~-X;IX5Uv9fx;M%&L`UBLzTu?qD?f-tmhL7%
zn2S^3lQ!cKR+}w)ns;6;zudSw5Tp}ge|?_!Vc@BLX~4*yUz*_G5hNW=1MjrsW`uL(
z#EFA(aVaU{4KJUJ>Ae;JNweisc^SG^`WHjpqt-h9uAAyXip+Ln
zE$I{!`}p(I!_9R>_dz(wpiyC;RTMu!1|V`Y(85Z?IRf`k7JnXvYhAR;G2zDVGA>sR
z^N=z(Zcb)Rdqcip!`Hg!{*K9TGoX>D+Qy}cv7YZIr#xpju~2`L`z>6X%Q!&ZOira^qGIV|>aDKEjYe^rgE!5_DWujWZU
zDNh<~PxKGdMH=ZWs%(5!gLrT!oDv}JbIbrR!sk;q^)>0ObE5y5;@ID)caMTy9YHv!
zoUw)CN8h4WQY1T8IAAH71E{Bt5Bq-&1xC5FNXZEUsX-gMR3Im^7c8FVB{im|-~ayR
zMeSGl#6w`Jeebtb{a<_IR4h#gJ+y`m)ACS|g_6)tOJ
z*1lJ=y}72?GUbdLl}js=MxKsfX;5&;#qs1T#?(=&y3aNs45N{X<)iw5g>Q!lXJ!3c?xjD?>Xm>iFn3RhjAmCcR_)=D=ek&F
zN^5|2UPFd_g`5PF!iJ8puzh>^we#(G+i#Y&6*`$5+Er1r_*M}Gi{JXufiHAr%plLs
zl6x8=f^Tyw3@v$-wc-kJbnEBH>MoPh>HLm<)s%4Qi9o%3pY@0UsRmNuM7rhDD=kl5
z%dn_YDzuNo>OvAKUVKg8S!S%elKkgKO&`b467j1P%|oWJhMV&+Jr?b8tiC2CjAEQG
zJ&z8^d7KmJbzL4XrW>TB;j?fZ%xsga*>8cuj{9%-z~n+w$~HTtfRrjNKSI)F77#c+
zpwUSb^p9wR-u;;s1t`)>lR|-bHasrx^qKA$*&Y{<|aMR({4>l|wHfIb}eT?S4{b1)PdE<#A2N1?U5N
z05F%iDjr7EecUW=lcjR=jL1uctb1LjYns-U--P+VDTZ(eKmfAntWt0dJ>@PgRK|C)
z9zn3|GU#1Q!+k8=q%6f?g9Ugkps-IhgG>wMBUFf>Y}J)XB34Rxa3e=t{NHA-tR3VR
zReDVJ)&7#xx9|JqBN-i7`8~N`F!tqjJ)zyrxc6v++_c_(cVHJ<=1_8-F(8&V!F$DH
zH@V#tFqZGbcrf3Dax{UmL|E-S0;rMq;Le-hqTD+wl-PAid
z4UYXT}tXn32PFd9R+EA>h&|xx1
zW{C|JalLM00_yA2_>o-{32|L)Jxw3&s!%A->?M`C2xhIt$be-FvwdxC&>~=!PVrVz
z53)H=6~HH|q@Q@XzDj@BQN#&g!D}VKun9mfTU9|KL->2WHGtv50#r0eW0HIAyOf6Z
z7)Hj44wIx>INB|t=VboIBq=->vCb4rj5^&C!f~6pJ)|%I{cp30O0pEbZkd=#lKyM#
zq-uX*iR<6W?@CZ|jdq@!H@7WUO9oEhJD6ShVyf>_1b-zKl*F1n&T$=hq-9!E@kFWR
zC0sYnRCmj0a)Z9?>{jR`KV@6$GGMJ|1oUAY8jW_N;sde$Y_|guJsoEHXa7JmdnHtQ
z!_V@VX(Cv|Esd&j3bTEso9Hh#WIxcMec2aax@WI!}z2x&oBJ$H2tBsOo9
z_fZ&=*V1EmXsMYhY*Yi~J?m4qQR00;I1tBwN1AE?1SSl>&-b_6^J=nrc+n?t3s)FfU{~ix
zd>55qt#%(rZcDTZ9Cak>ciSq4c7V*;8EBe(qFhLe#b1gH(
z0Kwr_Eb?q2UEwD+>D3lh8w$3(yUJAR-5|-EsUYwSKF0RQY;>fmepddh!0xqf=k^@X
zof#5Q(TJn58j7D5$ofz(IZx_F=c$b4Lxk(F6jAdThX=GUQF?X
zF_ru67Kwu(q%Obh!zQ6jRbr{X1^={;s}`zbgHgw#V)UB*FQjlM=nR*5`oOTA4g;(X
zOmU+t*9P3hWy^;x=2yNqG-x+3Y;v%>bJO3XCv(x!&^f@Nz&xyEPD!>+IxhEJkFf~V>kG+|ySU_EU#bi3=qAD#P=z!=PKy#Q=*K=#GI34lRm
zQaDWDr7=g%@(9$|pCjCr0joNqGDwYGP|tTIW&Q6YrqJ~fj;rHvF604ty~G%ysc3p-
z6mZWz759SM){pvu3K+Dzbe+J%sp2GhvQ?LELmYmD8`gOd4CMqQ6;NrVUh9&`{x!**
z;KGQ8KJ)xPSM~Yf>-*#vmyObV%kJ$93`y^h{tUA^C&Q#5-DlAiP^ya`W8gC;@`aBI
z_~pn^58docB0mCn1myGY(_AzwaFJk%jGG`*`nj~ObJs*~^vV|(cO!n9;KhDSU6b0#
z(A2APZpn%SXp0q0(|KBGV?LD)1`7xsFm_%b`Bg)9NsB6CrUWLU#$!t9_q_RdyvBzBo1@SkG)TmJb5E9{`RwjibPZGa^0X>)-
z6b}qT3CQ1UWD-4_ri@?jrSH9WYEPP+AsphHUdnkOWWu1Le$=Q!^!YT7Mq^=Mnh3L=
zY~Y#&daa}MP-4ssZeL3s;9AiG#(2mG!mAtqCvQ~Ht5r_=?_7)gMyUIBO2oosRzr-Zb{`3{hAlo
zj;Nv)%k75IXnJes@C*5WmE=BG>!2Fv5Z0SkGJM7;$wl0}(B8jxpj&>kZ@
zEL1p&!t73B))*-w`ym{HS>ytu&ay@&3+g^TISO5H{zH_R_mc`H1E&U|tVv46D0IVn))K3q54^<=899}Q?I;?gtRA+rvSF+Xp-(s4;ZUP0*IHa3pn%k$|Uk1S6R4pNYc?+5TX
zI_$2p`18Z8a2*+ZgPP9>j`RiB0-(E~GzIw+fQHS8Egoqz&+e~8oUF7(
z`;DyhhEyi$XqFYC1ydw^8^ZITOsA{$4eJL!{dppf&$i5sePR%Xx3Mnc&8TNb^4VTC
z|K4YlQ3C2WyZ4`R{v#vJ0pt!Lsm!K4fP%bBa9GFA=QW3mr{uvu;Ouq~Ki3hr$(11y
zNEhmi;jm9f26KbudKprI^6XOeHk=>j@tv@vbcxfvUeKCmxo&-qNdj-z848F~)&;zn5=pClaQd=D|jMLlbCeuqYNH=h8Kn5XVLf-16l&DSQH!#VWX26sXOC)#wR_x=#n9u
znnHMa_F=RF4mn+HP`OOF@BhYBW=D8Lhtm%GQxR1`LP*1RcF)X19a#~t{5+iJ2vttN
zi*xD8w(v2IovQQq>?Pn>=Q2&fB?$K8HHr%$)2-;4qCEQwiha0DC(r4#b-5ZH-v}s64;M%JjWvA1o&-R
z;&EYScdKRuv5)=?RXCp3!g1PHOAB3{W55mtQ=CP)OpZE_Z*OMXiWBqQ)8
zU(j0^yz4N=WrKUH6uDo|(pxX=yXm5Mdx>V{VXyM6O$cG!x50IQ6OO^NZ+sBgq&|vd
zowUXVJmJbqw}a@iht@L$?`UW^U@OKA`SrC5TR4GMPD35**jcTFJp5gA*^2jr4l%*k
zq*OuyrSfp7H<(>or{OjooaMU+9CvT5h*hiIuVRTszk_k@5`KQdgDsUJIR`%-qcafJ
zMJ$w^vlD)Bw=5X(qdwsfoO_p}fyxkAW_1Fjx^E%ud|1d9AMtpO9e^dOl_>?r+?C<`
zmjI_>;jRrI@gwNJ+ZFK?f7XEbbh^wA28tTBo01
zhZ7x=lJ6&9V&EK`aJMvf)Q8~%aPl$3vZKU|@5bzRr!kgM?6MS=pr^M4@G}Zb@pp3&
z8w92-GzzC?5Qx8;O=WN~#*(DG!j|5UWMWZ(`FfwU(d81=i?}a7#02dTg;X
z3k6YQ-CaRwEs#m~m|O*`6wWI$?+pCIv5>y_kw(zibE4uDu5kiOs7dUBariZWWs}U%
zOJinANig}DJDA0)-Vs8CPl1an)Skz;qThW>adA37KF(xzd9yMfBdmpgK0lj-#+Bh}YG
zX*eS1rySlZ4u0r9tQ;B&}EE_ev-`fBoz_ew8#0i*}rNr&@k~%&dxmPlwIac
z0&cdILwxwlzibX^232}b_AF1R*@$LAhQx<7;R*&WS&D20m1~c@nItVf(!wOrx~}$1
z_!xlQE{6A$5vCE02klo@IO{yuY&sg>@Noy~dghQtIpSEVy{~7=4P$8BoOwIK*s45K
zb{-C_AD+tYwZWOu!nIDLGwu={iiT%VF@y~cKn*WP!CauA)j&dVEO;l4mbnD)wg%6m
zSUYQ9cZe6W3Ls317PbV9sZ22+5#mpI^^Z8VsJRJvw!vQ}P>1OSF);MD)N-#a
z+6&|yg1l>>k3R2-p5N<~=e-CsU}%UAJUiiaI%Mtw;0@%|cb9I!bPzElx=`vpmecjGA%aApN@+}r%wa-84r9;
z^j?8-1bQMjXMg&r;9F4mWBFpis=RwQ9w0`$`F`LMDiBkeq9yAhM>M=RRq8HD<$`W$
zf<1GW=<=68qh><)v6GCaQ{(UkLM=}Bg*a%)?TL$(0w5^WNUbs>o)oZ`|7
z^xp-TSB@A#0py|vSkutrtt7Z_ZnHq!J5#S>u}zMZW~smA&E3hys(hoKKR8RTOmQ)o
z73eKJ69cSBE~MAGeMA}ZEJOh&{F9+r84*%uC&8tR{dKEwR>IDSF_vI`;=A8{)~3_tWD
zx!fkq&1IGqP%y>LMsgbB(59Ui1a+-;*4dLlX0kXwQJ27>_en01pmPkO$PN0gyfrsI
z=e|PjRk>ss&Ng>bO(2EwE@1S;aPj5C3VgZ(_mkiyPEjJ6;W}+4W%zO6#hM@Nf#v?`
z58t!9P!iSE+eeof<4C4&&k{Z(T;n{^;acJSADQp=IUhfu>@n=(9TvE$eX!4nSp4YVtTL(8+rrCB@tt$FIgwbpfLNj=u-ji->8
z+iAul(fz6PzCHaniy`c@A9Hh*#SJc=pI2K=ssZ+K30Ne@!SW3fT@*xkIhN5}6|qV%
zH1z4zZnmF=9kHF?fPzu%7qLxbmAg6D4}fZI5WCBhB?+%1OV9itHFClgR@r3Qf&D@0
zi73S0dZa~Wo*)Jy^~n8TYw<*{157Oh)&vA2k<931gwS}dRfJ>?sN7&~ym!v?%WhL1
zqA@H8M^rJZf$;)OI;?}0+JRoVVtAPrvWs9t?&JI)pC3zn53cwv6Nm6@0a6$McB5te
zk4sPjryS`lWQwK-09HT?v@3$5iMZZ(HG$BtqeV%53gCn2X|#+J5M16F#FV3R;)j?QXg}%u&9%a?ABW!hdj;&ed+8
znJVpEhflo4q^9cZh%k#1C7?|WQXrb63pfC2h2R}Cj!X|4GP^jN19-xw?Kbkwgaar5
znk<4>_Pw{Kp2!W{74PP_b^Woh$^!^cGGAS<^QMGr&VT>qBd>1|D31hxc0KY9vZ5@w
zXnib~_ri6pfurr&8;-uKeKVD9+|;XuvM9|t&ihVFY%+(5Qu#QM9UK(9((3UX$ZE(Q
zEbVc*=X5@D8^!V83!rcJb>IyvF$)9sApb5M2y5uV;thUY^AD%hCRXNLp6ML!S)Lg@
zp_4d=2fM9xW}?~Ri=k}lRHz`^K;fbQ(4WG{FO_ZVaShj}1m$ier{tP|M|POx+5Vfn
zp>Ot6Bpu^`q(0$_JfMwY9FqDSh9-E_~M#9`gxXx~{CUBLUr9>5M=raKe-A^pfU%PAD1t1Gg(~C@la(p=J`%FUzcCK)XMmovf
z532m&XTQxI2P&AdY!&92=3?6z{4^vAVgj1HjD>RqyN#6)iEPPult5}6{#LEnm%bUn
z)Lr?>99h$2y;3&oY$z{~giB}de3Tn8Ety{`+cD#5vN6qz_hDltOSjZDuszY|oYVR*
zs9hh)y(M7f+H^?IOGkH*%A#G-^ns6iQMqdZIF^iDak)HaKRAC&lVim-*g!o1KDa
zZ`2%NHQ~@ro5z$f9w85m5^!#p$AJ5*FZ(I82e-Y18^;n3L>5Tc8!%us;VHC#@Y&%^
z+bdpUwz*%|Ez2|A9iTyJE=ad~hs$Cd+x+1m_#zT=@J*{*_MA(Zt+X=)ZU*c(Jx}qO(TGN>u64J;!TBLnkA}SQtziFA2aaXMK@LJM-qhM=9
zS8C-J%(k!yCuS_G?SRX@8qy^6$~Z^eRNrUlnUIiR_LMn?JV*D>ba{nu4-DLGikqZ;
z!HcQq8LA>mJN4_Z&s6!&Y2PmG?c8?U5;wWH7g0VWJR?=A_=LktqU@n`i#&)tEr%Do
zW~lXCzHVy913%$r{8~uqPWD_#P~?r*`z@-OnH|o%p0Jy!OBm*k5j#FM)X?K53588?_Ci-1R^QFMEN$G8m(%Q%k?oY^ZIa
z;^$A!`1_MneG#|)1NC_AZkp9)JgK5um^lT%y!cw>$gWBxKy5
ze`A`6n5He-7(71ue8&OV1`)|KpaIweu$hA{P$D-BD>F@f?x?VZT%|QOe6f(?db{c5
zDDAu_`@26;Lfc*PVUdXZ`!s*Ap6Z-|f7)i8t{*f?1A80uZ^3h86BWLHtPowe#iwCl
zzQEzJ%lr&?H0|zU&y(p}QNH};+G7P%!IZuUrR;r&q%32_bcZR)+jk0H1iDYS7*7wH
zg&KBtVx$%AX2*3fNsp7P!tZ{a@-92NVo~J93{@5COt}?t74Cn*!Cq3uUMe=**-tT+
z1F(^mYCNriwnz?|pHB)s)sq;)eI7B_#nvj++ywXJ(f_`-5%R%OZF;fCNpZ2<=6a0<
zIPjm>lj+VAn*$Y@LPmAfr|uu+($zGBgg05*LG%EaiH{^is*+}WYm)Xb-EMP%D22KW
zFTJg;0I@Zh^9$-C3k~hBV^3Ba*;0@xH8_upeO)ZcJ^E(Sj;;(Jp1V+wD!sKgB?%fc
z{E~_R!Teu0vv}SF*tea3Q^O&1GSGU({@Bi@QzXeuW%KIx4~Oke&4Dj3A8K(c4L{&&
znYg!HPZPcVPTfez(FZM}I0$nK0b`eh=;TmAaW|V^+CXE%c#Z=ay+=;LLX+{FP=dw@SgIqVpY`Vc
zWu<%WkCVP755?WocUM2U61ViqG5L;`2mXzq^tbrC|GwVLJJ{mXvYO9-I#vFJ;dlAz
z*Ok(s36#3r2mcpa%7-6LuT~yIPK3#eu~$c9%^6m&GFB+VoNS0VyH-yFH>G1vdLIz*fp{uv>C})FB#!Ciki3n_b+%63n8@J+XO(}*5m9p+
zfLZ&t1zG#&#c??B#HAN8Ci6&Mj#K@q3*y$#+JauR<-F{-Zk)UZ-^z%Z
z5UKqcBR7d@UA>;M?MrC$^!LY&mE^?zjM_2AY?OtCwDE1m<$LR0|DImJEpEwP&e^@W-(WHAmHXp(Wa&qgVg^D^!ipo#*h;@28l1K%*X-HZ_C2{cz*Rc__H-lSUe
z6{arVrs+JEZQUAJ`SYUbQjxxJ0rI457YMO}C69}0pdBC5YsMN
zU+R5I&qk#i?UD7gsn=Sp{^yLDY0I1cY0hAZi6cPnC?^N?UrSZx+lV6~r$yNI>RA)`
z5DBvO>kR26%!wB#qL&&F8%%Vn{To|ryFo{e&lBFOAB;DL1hT~u84O1%Jt&rU198e4
z3HUY1F--o%OEuH3hL6-b(Lx61Z{V0hh)#ULd!yXxsiqG_wTF}W-a@1mJ$SPOxQp`FFshbaqJFkYK(w$s^?A6g>S+f1nx@Eu
z-iM9x7Z|z$XAbC00~_jQim-_hv2#2_GdQ}5|D-!_0mq}Z<-N%o}NxRTP;^2xBj*C-OFaer#@k?MoqEc?^J2`ZgtLH$uM
zk;OQbRb*%=hxOEIX1(9Y
zF#pHVuMgA+rI4HWw!Is7H9iuOd^wt_bQb%Dxax7LrT<^*EzyRB`xAvet{A4U
zDUTAAFOi<9p7D&2yA~XOyL0@D>8!0h-B$_JAt|NiwHjW}q(ga933WC>HeiFAeZg#_
zLY#(ADNl6P8>o-mQkWABpDPbxJ0Z*g_25@|mD@>}D(Jk2e6fG?;O(|SlN^o%^EpVt
zyeMu~;>lcJ2;Vnmj>aM4x>J+$=u=U7FgJ+xP>ywn89-reZCz)F0vqQ$`Ocd!c!L=H
ziBneTi`=)Wd1Vw+@}grCOGGX$MNBVFSuY8G_Mo$OdB5rt{}9jjLn4C{joWEX>8>TEwlfj`
zg;z+FC%Zi-u1=2UJl$5}6Ol&6zEKOl7M&?m9{Of^9^~;Q(Ly=)DR&v}^drR+YjNby^N4oVlnGX**|j&362|ShA$!q)~QUJ?!!y}B|AB)
zuDzYS`cvlp)z!C^A8#9eUT6IEuJrvQL6`U92(oMB*l+%=&l%@qw>M>9zQ3mUra)$M
zfPX8ybbbGZ(^tNCM=!R{eR(8c;`H9)^&Qv_6Z`g@|9y+qX|JQMveG*a_jXG6*1YHW
z!~~u?U&*Ts`Jh?&VHfUxGcmzE_I-I!Z2Q`SP!6+S((`un_n?n-%>-KFu8a__*IK`v
z4E1ZrWsY8sewu5UfX2MXX1^BP-*uUrJ8_eo_t{%`VI?Ad`Y~sySbcRm>#u{1V;oz~
zl2Pw_&#FC(wc8BQV}|~tO&`WsOJ{AZ>kg7%_g{Hy=sxRf`80LVIrEpAN@w|M4N8&#
zDf@5y_Ko^KZ%X9OjUP
zU*pQM@vryjbZE}PABY7+^PL)!L+TFlWK>Ayms3@e`WhP^kCj-WwQ2RaBRXB
z?5oL@w~g+HX>Xg~zC0AuCR#k0L^vOfdOKbeIAXSYZq|R8FmMzdy^TA!fwmlkK7B9y
z^xZjD>SdN=UR|)><&7K}xd_A^eJ+VG_V*40fKsY@yd<+AyFrWbDczTpu
z!1M|Lda$Vc^%E=$3n0h1v%s=Y4|l%$UFs3bAc19v%v`*168?B|rXD`Iz_JDWNMPMe
zTBjRWV98#9rJVb56o$BX=jXkLC(Qsr#iFuLe~MoE<$Cqkji^x=6nH~GbZM||kntq!qNHJ-jpyhJk&P*fo_ow^ZTX{Zn|1U55%2}{YC_$z#oVrfew_@m5U0|;*CCD)U=Wl
zx5oHzDZ%wnH6R;H%@eyxcGtEjB0ID8a=MkRef0C+T-rKM^%yPzsi)j5Z%XW4BcDI-
zVdIOlPq!8sJ|^nNDt~wK`Rv6GIB8>_+hK}IV_br2BFHaIWwd>qNR79?Ukn>X1UhS{
z*4(qfgkoadVqSedapbPXsMrF;OF!I`ZvMySU?!piqKkSy7fVWUj#jpd4Aj0y%HaLd
z>lor)Q|@$`zwhU!3{Lj`I~(6FjCX+^hmCiXFSNp`(AHsKBv|#)u@A|yEPm&Y%Wb>2
z&i+{|?p2B3U#i~Fezd$?m#e~~8ey=l_ADwt=J&@(DGn4nX01@3pw6E0oUOFr=f8uy
zZU)5!F9oPb5!6>XlqhrTeK!OTFhrXphP2n9vS9^(Ry$wH0b43ssfBGs!
zQQ;6FpN#?q5|SV3Nw20h#=}E^V0(#~PHYgtpIF!)KxWkx-V7<=Im|Lr^1|y#d!c)J
zVPb~ey4M26@NHT85`Klc=F483hmG{W5RN6Jp31i(SEx!}%nd$9G#UeBbO`|x^qUp-
zcG6JGMGVhS0nj%T8xb5n01Wj@g$nG(`g?{N7fgMGu6m0Yu}Ncr{}-Th1c!kE*eL*l
z@fmm352wP=lCG0o)X_|&kZH9sY9lX)OEKv6WOw64K2|S>&*W~?RI#{iLhrCm^Gvy%
z_jI*MPs`j5waa&V3wv6h))7+S{HDEai;c#`l5W#V)bjyJRi-tj_d1^6bP|Ds0g0Rc
z8=&LAc!YY{6Y#9VZKm(mtNUT^r)$ja-+uET&LrmLjr(`rJtosJ37GeH{SQDVIFQ&CV3&nuQA7Z~qB$uB7q$0Qi%5Rajdc(I5jh@AB$h1|b
z)v0GK#3@PYEk%BuP8v$?p?-l3@tR>4DeGZS;A;FS}gX{Cqdu
zbOfg>sw?RbaV}?@7Irs^OhgaU2v%H9K4A`C?RBgYQD^bk9iWR@=hHrb0DeX(BCn>g
z_3FisiF7v;f?!Hh20={)=?IqJq*T_}9WWU9T5qxttKvFHS7Bv(+TU6?SXiG!U_#pE
zXs!FCKCRgV)<;xahv5W`Vu1Xn0bHuPt2x5lD;@*)Ehvat1lODC90iC;-C~L$FQ~rT
zZG3vht0jI^MFU~K4HUt*!rrEP^+L
z7G~)fi}wis!1eirSF@V|)|!G*a`Pnl*EQxSGifDT4El7LkWKS7L>Wc%tUF{%(AO&1OB9MWq@rL^BLr+e
zVWbF*i~sWsn57N3@0S*U0kN(ZPZl=?oa7l)`sMy~IO|T>J^-8wd@h@ivxSK<^Sg>V
zQJm4guf21;mx_4x>CJCz+!wjj%!V(s16isnV*Ii6M|O~16LUB|E-RPgYDYnu^0OGsfMN8`T&nFG-bMgb{d#I{!
zV0Zx+%UXb}#(aG%lG;PnJwGuDgO8`e7D32UasZoj-hq@zh;g>vvanS4d>TD>0jt?&
zSGpD|iE-GIJ<+&?E5j%gCqaefXO$mbO4B=MJ|B5}jN+|n$`LX-OGJ)W1QO|h8-z2J
zXqXAeTW9dmGH26n&@CVr;!hJN*%1v-3T6>Hxy(#rkcbJaomfGfx{qO)pQ=ShbKxSz
zQn-Y0fvl^AWKUn
zXK7@CR!mbSk
z2uQ6E^(pJuZ%Si`V)-PXLufsnylyUGWk@5v&LgGan4jHns%#?6ZY
zA?n!7;Rt*@PjL-#4=Gf?Ot5bo!Q2LnrI^zRA)PSg{mC=F6$b+!uA78wJPqc6YH0N~
zSh?vg;JDcJXNEgiV;vx=k~)m`uoQUQ0v#YnIb+p44VSuRJ`dU9G!BNj2KG2>@FJm{
z$CakaMKrObVYujAv0QSHDxHoBO!a_9@6zSWc(C5F>WYh`DH^B!1bXedhV4_=i35yj
zaBC9FCm1i+=;>NoozR@^k1yOMPfKa^{zTo8UgMWamB+WVup@qqn;>l7U9AhzS<2m6
zs7@B2niZKWhG-%L?_Sh*@1z65{oO1xps-Oj)dZwN17rdyFheKZ8-3gjDN95~y;T}L
z(Dl0Wybg?|R|M)|7eZBqDhKGy=BNn(^-w{M
zNl++29um#Yh+_Kar5Eu8a?@|vPWW>CYQ=Ju)S1fZV*2zqDZ7sJ
ze-o*4OveM5KhG$#mUEF}QX@Z1#~d)s-sJ2>;i6jjjyE#Q*1tn!
z5l*3T{3&cve?|%$9M#wJjsg}W>*ce{L|v{ESwBbl7PxG{HPvWoiD!EmQ93sOHAP?z
zndgM0z>Hucs4H^*J@8?e&&X+?NPS2JQNkJlOj3YQE_s{=1^`;Nv8{O>9Yg%
zx}cA-tysZb%ipi@p}t`6>p*zwLapWb?e8H?NIS+iE7+H0GE@k#!8XY0;S{bR1#;}(
zq<_hZQ?$X$uGXs_zO^Xj&ny*@roc4%DI5Ti0T`n((;c2oK=yyS&sH*1c$(H^v3BbK
zY3RC%)ljQl(Z>8wN4b_ZhCRk23+M=l&a8AoLm0$F6SBhaWGcRD?x370^P_vbu8&7p
zfkM&{)`_f#EW>_FO?!UN)XL_elrCLs?)aFY)#SyqZ2kQzE-4d41g7m^-sQM~gVQZ5
z40`lE-D%@1EIg~ehH(%u9alXFkR}et&YiDRUP{`z#Ph(WmIxKf(!oBg
zhe`)o7hJ!rb~i_Vz~@0NTXpvkUJjtW4<^%3F!>ynlrvv8%GtStjAA4LG(Lg{)1uVY
z3&Bh4e2E_QsiInWbMcRKg5(PHv>vf4ak+nyX^ii#=7u{0v{M-XnEWD4zm|QG&n8EFB6|K>mTkV0>rnrhZp)X}NKDp`*1Y(?>_9TL4f?LSjE$Qi3>x
z!=d&hI$@F=1`_RoVgy^qfPYd@R4`Z`Mn(o=AwZLy`33|y^3@0GFEOnH1d>hkH&jY2
zGMP-rb+&)8%2ob>B?bpgE|%>^yHE0
zDgO~OaO}#kggnX=W7T<=3709KO#{gKkT^9tr
zbEzlm+FejiAw_Q*1|Y?An(*ld_p=xj92yQUVAK_di40e|q8WchZ&x61Ag@^gaU3tX&{(GmCD$`z
zslLYt+6@uo3bhOK%Q{5|xh$Ix!hqqjqJr+C)MmcL6V9T0dLJ_k`T(E`AjzpCMIB&t
zlzf6Z_p*@C0S^7$i2YSR5|@6_^NH_9xjE}H!JmU+b~4wBG2n|+=>;A9xom%y7`BV*
z?2}n}D0$aEK4x2!%-Wn+)YOq?VGvhx86E24dC%O?Kz61~wvuKxoCs!X%OZiX_>>ZztR(tT$hRUJ$
zKFtDqOhA%uNjlo^o@V{+I++%ii1!EbpB|Sz{Y+^q4?MK}jE$v`T@h&!fn~;Ocw9h4X%7WZ?qjnyA_LqQpA^0K;NdeoQNi!TU|
z^BklV%F6Bb*!en1(KNUoG^lcin7i%tU0ohw1U-Gx%^-kRCxt
zyf^{ccO&-#K&$``HN`-;xv)KT%%wp%Ohoo)mmk(TmJyw1R)>$6>bp45P+40kNojO<
zBuDtbl>qelUh&b$8z(r(Mj|TK_`C^mH
zNv*~o17opQzvvYN{!f{OnFA$8$k;hD))+vE1dOTt3jXn&qXM|aNen#dgmfY@A~M>FDzdQ3}ge|yBEj*9`^P|)CVlo@|5M@bxEIU>_GIuT!bCas5CFcwLqcK=6nB#
zXkemX05t?}*XN|tr|?;b*gUi?Y8U7BuyC#kpH{GL+n7-#{o5Y_4X#MK-3a^Hnn@kU
zs2vGQJ@Z!}{BKOwgaKGdMyIv#-PPJRr&izzkE9m
z$0dP>z=?o|86KB11Y)tJt#?dk*Z1MkZqj!(Ct}>5M9*C|>Erjf#{s=({Wt@@zsJNN
zaH<`s^bVB^hJ1D(rU58A9X04Y9De-H;T3+g);vPZ=%=1+(0|hHN|*dNaEYb!_AfvW
z;sQXg&N9jV()nPwM3%cxPi6O$-S7$j{_d<~5GkV+X?GvCgtSH7C3T&fp1O`G6FZSA
zoG3z;+i6^$wT^N({tozs@pHZ=I+?df8iFlP)G=3^Ojb$CwMIs>$!#<
z=@p*?0Lx!uC-@#;Hy*1WiW7=+qHHiB;_&{b
z;qn1T1Q^o?*CN6YOH+-`sfgYgm-V{Zz0_x~BybnM$XWaqg21L7Yn=WJ2Y7a%6^Ca<
zdIqGl(
z+}|)?@rTK<jvOzHIRH>cP2t4eK0wDwmjl9_RN9W#QTbm<7SCvm775=@7
zyo^dI{U~YlM#>(gx}8^B_^T1MgraAkM9z5(Y)C)-@JZGCH2JQa@@Y_Mcph`NRd~NO
zxOdd}?yBSn>I5I=3-TmQ(WU}a#HVEA@aqow_!nERD5vw&Exs1V&K?^{dF1jgp72(=
z9udSr`UzncO5cnkgd#y=X8CJxWnX!tTL>W*-G-E!8uscLedpMeeTeMK2m
zH+yL!7(twNQl_!oJdRh|DLz+6$u}rv`7--;{{E_xxF0c3M7qL$asv
zMxtzYtMlRCm>0Hyei&eas~GtBp+Dm*=*QY|UKzLrkvXDUWIPI;!tiJBvGoMedY{j4
z*sE_)&SGxG@4BG*cvfT8Y(?a3KUO$PoxHLebMez4)u6rFMe{26uJrA-u?7#N-Xf#M
zmKehu-zWRT7&6b^IjV%6g>%z6i3%6mMgD~
zOq5}2x&*KbC>5vwrf(c;c?H-)0~BKRxtg4-M0}pP=kvm!=*`&G<=-@5u`?vOP9NXr
z-qqhZ+*(|*VG>(H3%Cf;EvI5gEdUu4GBt?!dp0JVmInE$0ceNKEbt
z9G{fZii}pY(cW=`-Fx_u-~D&zO5$!M-*m96(CkjJv~KT(95oKlTvEAIWV~Rl(Pn@8
zV|@KKU=7`kSUx
zImY&VkN)Sa<(^M^mS;fa^Sf~+D&Oc@S7w8s?3ivES)SXP9q+Y_x;z$!PH&z3@wd(|(zM{S%Q%VkSoW?>Egf3?
z5;^?hs8L)6V-9h$Vy`5`jJyZ==;2A_Bh5$SVRRepiuA(@7r6xhxF-wUK0Ol??pb?d
zY445B54)Akl3j{|NuNT#CygmJ3=sqNZ%0qpM_1Lw+#x#|47u7WZmcizt6W|t<;erT$9wDlT5H?CPJ}A%e8pjvOIgOdThFu`ZR8+)Ey*ggVmX3?5IF*zW0?
z-5qv>mu~sE@I!h5wdv=~2-#HpV>#MDTNmdC2t;EnEzm?APD+}03P9f@{F_&1wCEGE
z>(=b=BYw5(TYNX^WAR>rYvUaTnI>v}E
zBAE$Y&g1f!Glb7%L@uLG%RujXWftx2kCxmOG`+27r|=km*;ohrL_K8ZA>KJx$&03H
zANYkBd&Ucwt3a>zPQ%jGGIsHctT82SDWUWzBx;
zlNARPR*YE@7?{AU0CdpmrcnzU2s
zGGbG|A^D`LIbJ;Ednt;C#QSE6z;DCbz}59A9-h7iiPc2|o}-aH?nOO?nlS^DCYi)@
zuUuZ3xW|}X+ILwDc61}QzSSV>!aj!!b$?k!pO>&un@ou+!ixqtK<$-L01(}TaKwPY
zKykJ-+$kK{=f=>iT+S}_4ONyY5cW?Wun)4CpDxpMx=FK6H}}afs1hzpXq>RSC*F~I
z@a7;_qHPieVAV)Vc?^v`LKtA_%O=TKg^V{U$=3L-n>KVU)TDf>JJX~aFz48lgWWkE
z@ULtqVV@SPd{SZ7=iP49@kv9`3gWlVvev@zrCV%0z=tb3>-vRxX>@L&Ge~vydrhOc
zlVwPhsKqc6Pk3x7tpl@vzI~~iyN0)$g?DQ0O_QR=jISepdJe6RtA47MNTN%8!XeE2A@q=VhDP|u
z2XrKhG+#EJd-LI6TMGWl9;SI)_d{fcu?Di|gpck;lPKbOpQ`29bd*FHTKi8oih5jG
zV^M;X*UL2afid_w-l@haS-YG03WHrBiMwm_knMa+MZFL6YE<#ZOBb8@Ba)inM6Z{%1h+K>xtNbop>EJ~B=S2LyQ@sR#zi);kiWi-!HccNR&rJpnqoHfMCH
zU=1h!8bT_jc1xK`VEvhxN{;UI@aRd?i58o?E_<99Ro8bH=lPVpJ<1$NWe$QCG_`)l
zmj3Q6yKRf1OWUsSY96PaP|`^#$r01}=py#M)s(V`!>$#~)VySz-dMDS6J!N~BSJYt6;gOMVG-@KCPL8X
z$_tF3b$9A(cj*hX@03wL|5NU3JDwIh1hL7n+Uk&yL5Gy0gWKVmaG+{epBo(OgtOSS
zUrTe!=E%y#sTJ@n16rj>DHgIU8y(#UxvC2-7K-GS7W{`qUF`(wUtcE*(;K#Jzurko
zmn0oAE^d)93%V?Fn?4cY@UO$Se~CrD=bE5l8f#i6)=VM+s*!#k-9On7ih>ObmqnbbY8z$apHASBvc|EVpb~w5Rt`1?cEE)(k#0
zVhY=8DGQ`w6C+U&)&Os={e}=1n^_dL1
zWDr_$;@0isH5rT?Yfkq!%{k{Pv?`e@SSgsAu51^&71NvQPZY?9VZ~Abu~NF-lY%1@
zqu(oFqyFQh&0OzJm@kRtF0$AWSUX8Gy?pymR0UILmun)l1P?P6X#E&u>ORN(SS!rn
zGRb{V?G|g>Naq@~-^%^cmbrcB-j{j`ay)$?;(VZ(PyfsCdT{bydhRsaM(W+Pbk2-8
zV3HTog4i3+H1L7x3j^-FXKwH2nmmOA5ggWkVie>@X2GaWiM2BzfbSu(lm;2pc&05U
zN1K!5&1Z!THRcpPJN{AkT`lTNDu7G16*qCmm+h%SA6?1DA0-IbUX1Zo#
z!(qj*QnN<6aUAG<&jDBWH}YxAKy%0hN*
z;rx^)1`C}-;!K>ZzsB%kYDL0eeR`@-+O^mbWeG5QffR!T
zHzyRx^%rKoG2*yNH2%ZVCBYnoWnLe_=Jp*KrEEkrFy@H)fLKV@eH@dF?fA$pQJPZh
zT4V@ex@6{IX3rTs+n0o3xWLq8&|X`t#X6Yi!B@J{;$4b>sc7Y)_g!5mJeq92`)92O
zoPO(-;)RbT_czV<{>*JGVTcck*amb=oQ?RT;J+gepV|Zy{|g@#3eF0Qwy$d!?DTm>
zU~lVNNBzh`SHgh=6J-XUH6YRA-J9#pwhG~}zHs5TB$%xUOxGu8)YbW+XjLaxceV=3
zQ>H%qa<0$Cz$->&*J^1Nh!z(B7$iM5(#A4(N1x!qxxwkZN(WX5Q8j?FX6?=>oYg}$
z@CpyT9{_@6*b3lHDko=PW;JUb?g0QEsfI|$%5<#lhZlvkYP6cG;R!`Fwt^is$=0Lq
zJ1blVjFaQW+641-IZGhDIuJj_u;mqM(tMx89ho0o5$fDKD4(z|zRAQ3X
zUf!|0Z|A3BsH2hR&N0J+_@$;UotX9B>&fiI41xC@W*Do~zWqFw9uEMFZ4>~wBk3X-
z`)LFN4LogIn%fu?`-FMiKyPdM6|U5G<8c+#p6!^Xgr1eLTCjtS)FC|wTk83iKdfQ%
z-*Wc?aP2LEF0ft|1SOWf+J%uvJ6$;SElzUn?U@vneynU$$HZ~lK9fJ}!x-4kH72s7
zWxXIb%Mz{`#CEK;zi^MOx)q*u3%|EE*u^vFNQW~pnLAlZ;3gM)ac>p%jMEzx$b
z4y~+xc&h8l;1Br9iE{%A9uz}$IPioO_Wm3=11#4!xyk5-ZQGZI7DrB*2QjtjCRSd>
z633x6-O8cgN)=_38Nj$+mH3Q5)hQD`pt;hm53dWd6xWxp
zyU*{oOManUz47T)fSA-3|5Erh{%^SbC8XxD{y%AF{k|8uwO^sZrLZbOnbXA{M==NY
zr&b9Bjgt*RLylVy8VTE2h5SIcTMIvry~*u75iFJ6CMx~WA_zwzO6sc!x7jg
zIz_)flrU#(%RDzW?cixvqPe9JD}8wx&SpBY>_tFIPZbgr!yB5
zV25|Xc3!w+ux$(q_A}V9`Gi3IgT-x6zO?Bw5TYyt0Fgp7@$+X@G7Bs^(;R)^yNEe<
zwG^|?UJO+E3z(K~A*Qu9xdR<&Yh|>j(O23>B!Bx-o$w8pl}Py!va!%}s5n&wKV44r4s^I*&TfSqiVs(wT_lmk
zh|@v;rJhGAg;~hnXr(IXME*nOGu1{kx2KzR>o4>XNQ|Puv?ZMCThEKUfaE-Zk!daC
z?JbC{OHtX^t+Tz_l}*f3fn4+}rf;twSqLQOY{0#rm88PV*f}BBm>K)qC=Wl&t0yx$
zVP{B;pqftx@6q|6vhbccas-wsjivd0s4B=2=1+;MIibIkyd!eVc(#DF0PP0=om8m3
z3(ZmT#2E2R>vr2d;~&QOw)E4jEb&jAfE+{g%yq#l#^kTFgwm8(OkMIXxfU2V5fMy)
ztD7*ho$riBe!iZ`Oq?)m`Qdsl>(|i59d3DItu`OKULR?ot9RJtJa}Sh$A=9JvI6hr
zJUGzH8UJ3w`C(qm^Z*bRhY{P}wOsc>u9fv)zDeJj>3%jrOkN#u#eg~;!YP2M3!xwmOZDY|*|T{HiCFyI1X1bD2d)jJz@
z4muQFqH+JM>^2FwLb$N-&2(k5TxahUgWm4d>C&5C9ZEln>vzS}TPT=odnp51=n{1c
zG`U$v55mGF2|Z-aMUHqZg^1Iy2A@n=PmtCsk*OZ2I`uP}U#jf@yX8L={a@kRjTbkM
ze*RPmkNdn_c4YSVx2#61hB&Vj_KD%n15^pSwq7PgcW02^#`}Qr{AdkW0!g^OJRM
zwN_5{GWw1L6oJ~_R2QN1yB*ZV$-qQ0T?hl)Kv
z=MV%xmnZ}tbbGuU3F|9-GNhwTd7mE*lvyQQuIaN!w%7e0`gLkKC726%nwDrBbGn3I5Wfk&4@i
zbndu<&hCJ^kr+8jBJO+rzbUv+v%k#wsOJwJ<6T$8yR)v8Tb&nW>Hpn7Pz{ia^*sF_
z(8TtF6&j`^LA-l?W{UnH$>VM)Kol%h|8iX4Ggk%p+@!`rE3rlPqo}0Ggagjkhp#$1
zxbHiB=OZTlIvEbXWBtbU;k3W}e~DEa2jyB}J?N(S8p)vA0+p8v
z-vd7{nYRE)k>`p6`k`{o034@zjRWoiQ^EbBZO)I|YsY$v!8$sbMRqcG(mGPy^wEyoFoe(an*EEko
zaac5%*HsPZ{^uZ0T?QCc1Jh&GF=@MUS^yu-ooGjVL#ih56wDRj-etV3*UTP7qGCK?
z$#YpwhRtQ@(~dNW2K2a&Jp{08gjOzn9d$ykH%f)0Qo=-N5&!42RT&53qhr^XLzgGI
zZomKvX|jk(MF82-!8&?c{r%ofw1FdCg5E
za*&#M+~Tra&H`0@jSNOcrVzbT_p{2S^DMJ@as#D^=ykqts$Ussm<53-)1?`WJH=-<
z1LQqU7~ibFblHn?F)T*^<#YS@;>lzlOWHTzvd3i)EzyBc=>ula#fID!~ugF
za(DO{_mzLuq^@>CC_1m8qcLWfgI<@2J!GE<(t+mC1pU8%
zUYm1$$E_r*D%7m~Nub>HbWnaT$oGs_Cm`yOChe4S_5&UU!~0#fGf1WS)&)e~lo3#?
z2F3;PBs-p?V}>0;+`SpU?Y+A7c=e(nUtSOO)z}O=@j?b(g9K#mJ9(!Mj?0h17L#EU;}XX
z+NPYsiNEnTpWg9QQ!Y$4csDtEBlT#t8(~D9rBE4(jP_}ALX;mg?WCNAyE@3NNTbM)
zAv#b-oI#83j6|uE_)*Y7IZNq+N$**)Xkm;D_EjT^NFf0NCw*H}a6exSe_qH^5&9sT
z6@x&a6sA$L{SJWzi|hwaTT_z?P%b7a?=AJQtNlQaIH~6P=wnN$l&THn;MVcxQOBEO1gc
zl2Ro2dO)1EaLFk-s=x+_+#5zz?S&94k!Qprp2cilGxxfB?3KrJ#hd8(@8G<~w&qR`4>i%aeeS(Lx;Q$WN;GfM{oDV5aq-=O@g0E&^>&~7-XSA`oA);CUp@se
zew#l`c7bgI#HYiC0>DZ@efiMy$M@c=2h`qSa+=%GG#@CgC2L06)}+-v6iNob!PIT!
z>zZI%G&bOHnc{TnIR?Nx>p4i3d2JnX{c2N*GC+B8^y!HU*^U^cL9Q9D(C3M$jZGjz
zcX%xoP&^=TJpd*{#v@yk)a77YsQoI{vQzdUv2ap6oWv+7zTfr*utpdT>i_xpNgeMJ
z$x~>FM3~ZMF|oO@?6h2OlopZ`_6l=y1TDEiv8fSlR>_u|ztn{nii#Wf_=s
z)hiEYMOGtb5R&;{gZ<8z3Ox)B!)H6jB*SbaJ{YKKh5o%PK{M%Pl7M@-&cRI$`DcDZ$h8OZgT43!=ojx~SF1z)7J@Jb}3b%QK{(+j_z?`Z{Jr
zW2(YM7-5FHN8l8vL?#}BuA~#lll29dk*vkgpAlk}0M(*R14Gl)Ry#myOWN5Gj$_EU
zwJzF-(%}rnQSM(sRAmLBkN{$c8j4Nl(fMk
z28De*{s5QtAT$Ya^+}8VmwG3;G3fDFmyFd|MHv(CF3
zr3q6&1fI}}qvlyvmj(GD_nU3!M#5h|{+(Bj9Ss@gss=?;thsVuIThA_lY1ql<6FvP
znF_yG$yq!FC`YE4fhy&aX!nQ~Z&L`-RV5lua-+WO`{OJRx@2@598jN}bBchH75zO9
zlSUK%gm_ERyszY!0rdBexkq+Z+P%*=C}r-bg+v;mf!bO{7Y5R=UWZR5#xrtO-c4bV
zQ63#f|LD*&d|0uxP#Qy3hL&2{;qtXziBHLtq{06!SFBaa1>y1>k!6ihmd+@H*Xakl
z%S4jJJs7HA$)V&p*0-gAuhl~?x$+27@%WlwCp;*Wfm9#8-KD7ITaf?-JT2GAi>uyw
zi{y<}G8-x{++KG2sxEEeoFCp&As|TEay|~hFZirp&UTb=+J9QH;m;K5FI;4PD4w&W
zGucHWxNr%|B!JH(Co!U@w1CH}l-~72Ahc8!{wsCqS~bK}>xbOM789613x`gB_d>!lZB
zW=E?!nqL(*p|5|r_?|KvHVq-BUb;W6P6c6<&NIg0JR%la`gUC=OYK!tgN4jJB@X4m
z==RjDCr(Z>iHB#o$~`F7?}fT4Zl1FKfPLbC(WQ%)mo5gK{mOaTKVCc6U$t+`GmfS`
z=33KtztG{a6yKF0-P!0MJ*xV(Jz|ZklTZ|t(S8AHRv%RZ~He8_c$1Xr0@
z*2tBvk*D4b)5t0iPtXiL-RQ9mju#S=2JGQSMmiTHXfJm5B;j6mZ#FB^M!N;}n)0Ki9sSYXM~vesii_&Z7<(Uo&!ysl?q2PwCG7yu`jbAH4W&
zP|kI>Dqhi5X^SkDjd&_seo~U<8BEmHd`1R}A}pftuPp#Z8$
zvOeNE6A~
zXL9IVWlg9gZWOsl-HV_?54csOp;7W5xn`^jmMrn2$(m{*`dnYk{>Bi)v*@#3rGo{i
z-J>nG+=dN&{ABJqkhZm|{dQ$)$1mO?gL!=1MW-bQ<vazqYC8PGLL7ictw$bcJlF
z(kNFV`y6A9n^G)(G0Qa2){9`p^6gE17eM(p!==Bw$>n~X*079^%jH91%9PuEaqX=1
z;Ca$^>}QJS_rwgFYVn(0-?j>G*iM$P{inbpz4vRtXVuOgCF)TvtmmN`V
z-@GW==zO`uQ~&PtoS*KaW{J&T3DPUdmy$lS(I*pRwEfb(tk<#jT4!ov;9@z2Z%}!F
zSH3ZJIE!j_mH&=*k7U7>Svaq@(r7Aj$F+~=xhZITaGK&H?#(a^vUwjA@lt#)3B0Fl
zJ=LCyH-0zPCOkUpeV##ZEvlU!#kBSW9jo&J
z*N;&L?_ckzwS#d2kD_k(xYq_5#XBSWE?<}8i6=aC|MA|;#|=pcqR4zn5l`ZVbO&$D
zc6BqT`oEo;V|h}&l0c(`pVT494qEtO~XvYwOp6bT-VIQDE&R~;PW@W*0xuxm$A$p%N9!Ta(&P|cxX8z`Xgk1^@=K-
zsfy()88F{($vDV5C@0~iRWc|t+Z|-<7i5`#P6?L+A|YRs<5z6Qe2FEwyIH~K*awgP
z$iFK6Fl(Z)s;@KXyB|9);sOP4--H7X
zr2e;vp_m*Pg}6kG{~#wphVWQ?`>Us=>6a&pB)toIagb281bY
zRGOn%I-T`~CzysjX5T|N(9cOzrVxVa6Bf7myS$DGH!&pg4rr(Iu0RS^1eT2
z9cmD(Bh<>5aYeV=!%HhXn$t-ovX^8U5qA_8Cy?!<*wN(WR
zrKz&6oj#WfnKaaVrj#`8dUPaxQMgrVdaw+m7XA8;HXRCBO1d-mi_-6sa_&
z7Re8+xVx(J
z64<9YLD1&RsQQj4)gC`$WjymP_KsEEn#%vn&u2Kpwm_~Y8xN1}{qV!hjQdgLG4$WZ
z8fjx1zwdCgqxPiV6ED3PDxiKVUD*a0%U9$BdFkz*&bDcF*Ibh~%A{O%;#Yeh$w
zM!G9t5<3vM%MK$Sy#1SR=|_Cm!hsA~MORUg|GA$NA~{OJmNrPky=((N!vM@0{ecEZ
z778fvSqZ}vfXmPq(ZRhjK>Ys#I>#b;Q+w`US&Z{pAUj*eraacQLdUnmf9S{?e2u~X
z1a$K&3Jo$Zfx)gk9fHXzk|K;Kb4F3cIK@^N=~%4D_6-IWU}e*U5TLQC9*x8X*{6Rf@`2GwpGBi7#xgKUJ&M2YRym%H@`;e%)Vni@qRWiHmVyI1e8#!iqO@wY*cjcz8?t(iJM3
zrH2H}gSW2Sk~-gdFUR~bnYoi~^gPE7z!Z$>7tRW&v`y68Hq~y_ZkMyIkQMqo=N%F&
zzLRPN2IbnL#SOyqT;jh7bsHdyQ7hHevx-z*0a>NK#I{&Rwo6x>x*M_ZqlTg=P=?m<
zbz2sL?EO+UW3%3Keb6A5dd*sE&lim|L7HYOxnbSEeWX}Po0{su0C1qcNZ?S>W|>9bYYFQTydU@<%0CMEkWBo>Uo=71-8!zX?nbmEsh>y
zBBm*sr`+A?r+Ufd`{f!hX%lOJCBE-PLf2}%f7O*I=GxjfcW!zEOw*5fdoh>C6g=pC
zVMSBmKTzSwEXbouC@zqL0+2(
zATY9PwX#U*!e|&kKmawK09&2?F#5JA!2f)-e}b;7*G6VmyaC>p(Hm^EbEM`2Y%VUR
zN~?P`wo1##5$q6h-e?=|XJ;VsQLp9WH567WJdu%!4F_LXsMGsqFR`T6%NeXIQzQBz
z&*R$5N=%-9iZ}7U5VDTN%Om9h>g_|hN8vqj3eb9|@92sVD~r&9K~x)6m;G%}PMH}xzt4`
zI&wws3<{UI%E0b_9!={n9d0Nd!{`a=@GP>1>B6+<(XXq<8q2)O*jDlPIcU>gTeyF<
zDm0mWuNCA(F_GJB^;xkT!lRZv!$>MFUF0~f|1#Xz�W4cBTDKledKhjzq#};Z}qr
z)L04M1)lybSXnrqs^7a76t8GgYXnjdk_+Ver{9sTkcw7`V{7ds=JoQ*#0V13L8;V)
z9Y$vPa@cHhAQiqd^sG)g0bxL%!%$sPv(8Vu@*WLNy#vQ-1GiL22c9`_7gi*ifdt3j
z>$23*N!=*m9(LP^Lzhstknpvp@?=b_3i?xmQ?l3gp#pTH&WuuinZ2FSOT1jzsMhd)
z4r8d9QBV+1$#Mz0XL%ALJ`~+n_MFzH?d(^((>hN5RM0*5hbDX3Y>1nRjiMby6dU;(
ziOJ~AQO5jo0Qj;^iBW#?ZK$DIqt1w+ZwBG$e%?pN*nYzyjphM8>F87YjHI=uUQVxw
zIsD6GoET)~*{kJS5g}q3{G7SvVMW#?Bws(_UU(TAkVxZQwK*Q{btTiQC=4#A!yA3MFQb{a;Sv>O+l-6naB
zG^6}hxb5QowN3u=+8Av%VR2{ZLG_a}UFmI+`5tVR`^%l4s+cIGIc*e+MFNxQ7PTh5
zl6Nv0YED9S*(|SSEIG~f=X=%hlNGc>J{K!k&@vv)bl2y~Ns^^@V73=cCfLA1JeUJBWJ`00XSKVkxyba&ho^qiu^N
zxe*^3DVa`s#f@ihyHQp?J6fZ|HRt&@|0fCx$qH6UqYFqiLDzF
z@VA=ZxP}IYzTNgnX{Tk6O+l8F%P#SkrQi8h28OnhWNr|p3{#o@#5RW5n*;EeZmA2L%es~57H6fJX}L(6nt60`G&;=CDm
zQEbeGOFh?8kxYd;ILLA6V3!IPu*PbZGNB7iI2#0j8G15Z`w*avNqF2@R+<
zkfnJz;sSKSSA@H8np;tLQ2<4GL>w?8)3V0w%xHt^xZ!d-ETVE!X1Ek-F~;pw`}HJ~
zcuoA3zto|*@BgkRTzfa%X*_3MR(dqDW{=K4EBVin9JD`QpKQU%ib*|jNOQTsjwY+_
zMPSH16(RxBp8G7WEAz+jY*4YH2YCGbmp5-@R(J2QXg0|#GqukBmc;s*P|EwRwk%E!
zou?k`R4nVik0U!PfBSa0@1oe=+PmmEn_1^b#c?92sgAEFS}sTh7E(kWr1hr`xZAOq
z>O|xxJ(FvPGmh{=dSU8=#Mit?i4}v2e-B$)Tq)CAMm9#*Eay0FLyMeFBnQSvVUb=D
z?9pt0?J)zYMy2C{wTFMQgqrPSOy#}hXrAu-;B+$
zIMNbE7b0^zR`m5^nw?)6Fwr`io9fXwUz5d1RKGvVZC^(v)2WR5NOd|Es3l6iB^$g=
zIt{d8ojE;-I~#29g*@r
z=VdJuvC?bxlk0mxt`1naI^II?6UpH{b4lrEXPZ|nDY^j
z65q$TB+Uj=w4_{`dOf+ihc1@R7JFo*E<~sg&LDeRmg0@_*z67M=n1DWq)x78iPl3B
z_1kEgR#)FQuW0F-m7!Az`s-XdgD63Un-0AbVL}ndL1e$-a57pFbach|y79G{@1^V}
zb>^`@R5ViGBGpBL`o>pt8A*gn0str!pla!2qa1V+pfMI*olf;DjWnkNQg2|cYx%YQ
zhsLkrC~uFb50`0u)I92h(mnuH*>+uSWHVH3v_1=ON9NyZ{)KwMdMU^L;?EHqLFNgE*P<2_P3X
zp3k2Z6Lr+W@x(}fY2(~cwGjX<<$JWb$M82!tF|L1gCSK4yzDOyIrUzr4;0^}OU|lG^wTG|En6f;fn6T}p!N%_Myg(q>gZdl9?Xy?im6pfO8pjBSAT=2E#Z~#
zJqqH=xxGP-3dmQ9SPzzbZmOc;vH`i=xKQj(%U8CUZ&eg_tA&QS)z+bfe*Idn}so{U?3CyyJc2NUS=VAvwvBm=yfI;&>UG
zAfp+N1-O#+!2jdwO}wH0!~gI1>@&7z>>|e4*X%pZ*mq+eYxZ5C2;nnh-y^bxtXV<`
zQE2Q`WRH?&gea9trPXh~_xYat-1qNac%S!qUFTfa^Z9tJ;NHAc1L-xA=VDCF%j>VT
z_Tc8^ads>=(lD_u&f%>f2a9B9w%qE7=>qo9%1zp|&WNHE0mC`Lq2SHDjc4syM8lPE
z@d%#O%QS#|2#~#L%33`DcAMVv{{veK9YwY}3Jt
zywPX{x>CQX@^d^Bv<`K^u;1WKa_G{2we0wrF?s!Bzb2_}E7BAcvq6>)kc<4XqR*Pe
zJAQ3C9?Qgg(cn)FS`EZjhG%r_1H#qJT&4!2Zl8T>3;mjDpR=z{?_E>yPn(Vm62@Vc
zO@Lcqt@}1cjw)>9_za!e?S4@zT$tnNgU^OPlcBKELBR53j^FXLrWbZG3Q-DCMz}II
zfRx3yM`cBhfIwcpM>m|6K(LTv{S%Tz!#Gi|*#Y{>#@xoj;Xfxig>QGVXCewqCZq#B
zQ-bG%Mnyplfxp@BZsLn7^_e^Itk-R-*$?WDIe`M|o05wl=P{3A$kB#Bi+l*1D`!}a
zqolaO&+)tZRE2CD?h#J^^_QB}^lRwvUa{?qehWB?zGc)d1TYo%`-f8_m7K*kT`oyc
zJI$jpVePLrk&s#`+sjhjvDEB8yWUWT{(vm*dPVXO%t@s*3$BP-+NYsG>i~6i!
zv@jFM*FO?BZ)#NQE2BPYp~8vbBw)&9+2hG_>~MDs&%FeFSTy*3P0d;HCSl%Wb^Moj
z9!`7Q1q+)|&pc(tSbLt6!iXZYtRhs+%lU|ft=0V9s>dJ%M+9CXL(vs@IQBbF*%#a{
zip9d0*Nk8we9>r7l;eUh2b_>xvzNiqjM@c+IrqdHJ~C&U*OWQqwb>KFc_~9>Lk<4B
z=35%tqe@2hxH^OCc{R3%82BF5U@#>KLe~seq^7Spii;Qz*BP>~iO8}t(gl+II~MQu
zSw)-ePKiX5VlLWMP-lvA;K<8=}Sp^f1evyi+WMR
zJdRIR0HI@Rj52s}Dx!xPgwt4k(`bL`^s?!AJKS6f?iu4pWz6z-aqlG5J}K9AaGqTS
zM-=@O?I}(>k=3kd+{snnYSdC-Qu9jk*SIyD!h7V!T0o1*!vLM#jtPzu8`Dy>CB_rA
zk#q(31+ROcfvb3{JnA!D0|zo`$b2kQjDfirjIX_PN^o6tYs-b!&{N}|+AvUy`GA)<
zFB77odR)@$y?L&al5Vd`L*!M|4q|c%9PGJzB48g7*5D?57F)-%HL!Z{<1(jRS;j$N
zJl6U(S?H(4(4ir!!s*$)lMly
zswcQ#YVN&&rOE!`6qwEj@n-WxP`0U7{QkT%PefT*06Rx#0NV=_X00JZ#q_nW@&xOE
z&V8CmI%8?$CYz9W(^bG_O|qfJ?Z5`)#mPxQGbE)i$k8u=ZWVr!AQxQb!K|MHZYu;A
zRQte_4ft1Y;lmXS<^mp|faw=>!@!}3;`gr-TX9>qc!DjIo>9@ved~tENw&qU4*rpE
zC=on}<4bw?UCF*XT)6FrYn(4e2@@ujVrkNq{skqLA8-2CuI)(b%Y-VkT#>|eynLYh
z*p*||bpZEi_vOe`UhsXz4Mdnt@q{Y~0
znsCVvaFRc-cWu2oLnG41!(|ew|8;K@YSZ-UeS)y0lECDK->SSOzGSJN`
z>;{@}*><*e$L&!KJ8L+~jB&;WS&xojeYBgm@z_i)KkhRkb6)%>{2s#&r=sZFjCA6J
z=+8wt_XByby(o`E@ruZN5%q46?ron>4RzuC{+vkf^BtiIl@;8e2{V=P0j*JL$3w1Z
zpt7DEONyz-j`Hy~a`kWnvJ6sKXl#Kxt_?d-0ZzNNA%dIg^=r1%;(95UG%1~E+M3Y1
zIL&k2ebUz*r*tI!?=9mMJoWSp@Qyq!g5$O;65$kfEZ^lm!dk4-O5c#tNq+_5(D4UX?d_|TY}voX(Zhji
zmXvs!!u=PklwiyuJ>wRF0dOgNWD0)}oqN<6y&HGpU>{avQ2N;m!T
z%SwO3Zy()D@Vy(76wo1{GViQ1LBb?%yn$oHb@=;wqU^zBZav^T`US*`dEQ120r!N|
z43RYSUxHrQg%OjH$QzUr61`ty7@`Hu6&
zO|ggH-@SNv{FhB{@c8rglWWi1ctV`N9y~Yy#IC`*A|&SN_u$%tq(1u>v#XBR6%njq06smJfCwI0g9*sdb*6=~Bd
zt1?1Siu&J~c#RrH6{eHIe+z_1oI%F`IV#X1HgP+H^>m}<<1F_jg>>NJ*Wocah
zE=Z?w0&Oa2LASkH6Ao|5+WOn|#yf??tE{Ll=Q!K8>N}S|JaD`d6!$cA8h1_BiDbqZ
zsWemXME5O>bd2_$rr2`9yCAUp%(74QwC8=Cb+10*ZYaPp0k;zDTF5uzr{(zGfD88U
z6VqUPYG7X6W4xROp+qngOK4+wyJI|JyhxOZi#|cMupFX`k%Ku&t}*0^&45m+Q~dig
zE3N*uf1uOnhgzfP>0eKCKTdxB%do)m)w>egZaoOTM+D3a@RC_Y)7Xi+%vylUEjx?V
z@_EG*Q}HsEFDSt-USE|nh$Tvd;Efk3U|>g$w6zFBl;@Y&02jfC=^U>qPY0FZnJ{wLPhs}zfpESzHA&Dps693IT=ZM}DfzHN
zT?GZp5YDj;o&zaZXrp&7?j)c#
zD{$?)i&Ip(%3+PNvoMseCL&b~4`LxQ(gj47A<8m=`5cNwZKFy2_qWr}Y?}WuH)_Vz
zoZU%Vg_-TI{y;S)m~F`0ns@UsT`MfvQb^c$HHeU7yYW^}XvQWW61l=Gjw*h3CSf{i4?mpNu
zWV#&CH8I}LULq97eIb@xt7<>jWiDt!U>6BQ|1~t)e^T)=$v#aSs5#*o6o85A_#m_y
zk4=hg`?MiW0hRdRS@MBN-FI(
zHOKj8)}c{Sh89e=>5I#?w>-NZ-|pX+7~IZmHf(+Q_@kXQX(&5khojY>p{9Pq9fMVL
zv*1o|=B9wiNMC_W-!F$*7SmwfW`PMfBP}oPSI3=-9~aaiWT+W}PW6{H>dQ>c->c?Q
zKjnWXQu*@>b<#zBh&R}$E%pX$JXBn0AyxbjfKaA_*dkBROaP7is$14MF<}3|`sJ6Q
zVLzvP2UU)KFLOk`w(eXH7amLc6U+<%5T5?&6afto02D#*WcTlJ$6(qWd)WJLFjrxO
z%-!E~a1AII$P;zEPz+Y6BuQZmZ!DUF{x6x6JVZfc*D#8(V3cdK4DUF$?T!G42=ikXqPL7IQ2JSDAMcq}|(^x6kX8);4`JfcfY55+&;=Zky)t
zTeye#cgu%(O@6%}_-Q0L-pYmhjAn(&mqQE;bWL#~d$qexbwXx!6m_=wn0c*0&F_?v
zR+EOfF=CYE8gY~XcB?YUFIUx(6;=)NTHr%+z{O2R&ii!gQ#X*s5>3CQud&(0yL_9r
zRcv|{SlhPnHt(q5ug-o8W~}z%$sxi1B9)zu>*t&<_`~@82#cH|+;X}Xu>r!jv7EQ;
z38824{Q2|*`U;%QMBz#XQ8`3MCZPA^xyi4o8)yGaXa8wzv7!q|D-UN2WzBJ4lRG2%
z2@X_YY)Z!Y5{E4B>exU`1aq@&Bo&j!1oWOEbUVMeRAa}ndK^Um(R=@$J;n-{zPDK*
z{Jde@mgv*@N7E588v6!DoH0kBGmC1+;NP=5YLvTw)O&SWQgUF8gdoVqSD2~73sD-O?WO=1#ByF<({TXFQoDR3DbgVe_8O9c
zTFBIE&4T)pN>>b0MK6gt2`hLI`G{j#m-XSdoeUv`h_XXje^un)rer}|O9&x=8o}J5
zfJ~vCFfGC(YKU46$N*y~6PXIJ^MYF9!|JeT0Lyv{%j~0mrCx-agiI8ygHI>8EYYIObYIe8SF+$}
zYSt+9(S6Xp9h68aREQI9>J=g*0dt|k72&`Hmi5ettjb=&iGfz|gtA{0M4gC@$1)=W
zRFqq@Gu1gMFDO~g_uFuDcZP-xG0*3$dg^)aRl0o!PP&nCy2*Du(xL
zpV%u9?|CdNLlIqW7=ZsQ(;b28!+SJuvv`ydm%5d;mzd@{Z$1jPe1f~4OJH$^a%JNY
z))Mh#6v#CKs_a~*QjXi`!EFSJ^4M#bAj;3houSZ+UheDfB00nHoLXQZ219qB4;D%^
zG`f7rqopF}`bFRnwhrP=*~Ro7VIs^t=Hc2T1j}N<`Cm798;?(JA|5+o)Qz$uOMek!
zd{9iRYo{~O7~l}%s(|pFhnRZVKUXi3QcA%-PO?lEES|Ba{VdX}sr!^x7uKcchJ#r*
z$Ow)|(#`61F>s2aPS_QTCSonbR;5lswVM__No9Z?=P*IWfO5Q!2=E5g3sSH3eX4w>cGyc#H|fL7(B9bdAE2D!E@}1WhFhp{bzZOvD>~
zo!#JpZkdZT%+&$eekgNs4fZnG?Ip=1a3^9CC0>mU@5*Qt#5m=+Cg0w{kZ5ObIl@-T
zMf_h#)sN~XQKa*i6eB_yOVp->TJ@YP&)~-fblwx$58EC?&b%YuT%{1L&YGJ0Dva`t
zLc9V3z+S2z^CQ7H>!un)B_fBt?0!b0?#_5kl$SPhS1OY@y(08YYel#@T6ep+I;0(#
zXh4&++2`;1gf;cMK6U5zJcK^Ohn9#zVkI};prXj&T1|9PMR-X_TeTO;m+BE$)4=su
znMy_=9>U_Ne&Tlc1*euq7~(MF@5}PnaB225nFVRpb3NRCGSRF;{
zkP}G(fOz0E@eN=7&Y7k-xbDwjOYn&d?;RKB`7S|=B%DRJK}oN2#p%GvUI5)T24n6~
zK-zXf&e3ipM!}T>T}iOh?X?I~K!_K~89}}AIGH!J2EHmTb>Yw*LidP73#3pH`t+s`
ztx9FiN%AxXxpu(oN$@*FmVc<(v2jSbl5jkpy|=&|p!K*abbUxiUV^#V(e49)cBUb3
znka021agV0n$-(wPo5IXU6jab9H4s-l;0dI@9XlV>mK?SJA3y6hj8Ed
z{~(Hp;0U;LgfGOq&6XKB%_OwufSh`ZNu7YdisU@|oxs14Rp|>;-Nlr#S1AN(45|B-
zyd3=dghWss!V8Buqfg*rzRlT)1)U?t@H|JmJFJPm6k
zpan7YkP%6z&oH54J?_tN%YqT(PI*H!`=Z~Eq%0@&d%0wuj*7B`Ovnfy@fp;pp=G8-
zoh?GVB4E=p50QmbAp+;Ydy|kROgPr{5-0LfXVR<3GP$u_=Nu;z{}_n9@Lb)W01H%`
zN^-CBn+rK|L%*mJkNo2pIFsQHt!Ig_}D
zimvFM_KB<@xt#q$Uf4~*rCiqO|@zBAOes*d|=gfr>te`Mcb%5Aa
z;VK4%uLRw8_Wol#_G|Q`Co4MW_d&B7Su!+XS1!&_64_5lD;EAo0xc`ER5`oP!s9g}
znGj2m;NIW=$Gj?|%1)7GL
z1L=YwgmqrKYbE!sMDAO?RNvZ1^aYW7d39K~=dnwI;!7MF8y6=Fn
ztfjhT4SuEux|Qu>b+Yr+8sn
zy-x8_ICr)I56)s!W%E&S)0<4vR;+Dm*Wwn(FgFoD;;i_Bro5IU+-;4~VEec|^mIx?
zFI92a)HZ@Zj6^$xk2cz=n|_qOVW{Xq*fpze_3wDz$J)eGO&LS(MOJ50Qg(d^17$p0
zu^lw4xwqHmE~n(b)RTY1<*RNfBOYVukANIgO$;b3Z5y6YC2V&
zOzk`RWmG3^pLtieX>hM&<=Pg;LT*2@wn*j!cfMe`#ng5ZogP-3+LM1!+PDRDzV{n>
zcj~KJW!1~D+9%>g(q3~sQ`HC8p>!MX_c~QDQUt-M{=I6JpX_zmO5#d$T}oNT{%gUw
zm!5HFiqsQ^gPrDg{0W@Jo7|1yj$d-0_QGF(n1zw(2=mToo&T0$)~#B{?Vyua-XHC4
z>JC2~zYuw&Yej#~@kyk8D-r#AUiR^G>qV{*`HS&ev!@Z}QHSuTnsm>6!JvQb%EQvO
zY+njU2N#9=sQ+fp%YP8JQ3~J=l^OX&RC+V0BN}&4{V?gPY15{cUU$)luXci8_n;@*
zekCRmbDjzHN0l#+C8h*XgrLL*^t(w*05jr%zUiTd|>HMi5ZHuOT;3J1>oY7es
zaP5|r?m+zD=jWF;BOkr`?{#8Q;&;DrYi6i6(R7c;?ML$60qJ)TZy{^nM{~(vkMY-k
z27NwAqFm_)znah4FF4hA-R5VK_g785Ul~h3Lxn$*Mvg@ij~iakUw<}Fx3%70-qW#B
zGQ;rj=;d;7Zr)S+-E)2s8~Ph>JOFuAHO$7-a^cUyqs{j>{=Bywc+>OiE$5r|vwvTm
zm(f>18&eY^6#s4ZJS}&s?{ptbk)ZAi@!V$Pl1#q5q4JL|0;LK4aIgD78a`2e)5y0o@=IBL=405sM8aIsQjL*X6~2P1s00?mD!=v{=fq!*6|Y$D&Np
zU%X8TO}DJn6yjbOD6Dx_efkU=m&Ssyr4&i}dUn64{EgM|*Re
zIx%tP33h#Ni==}^Zae0DlQ8VPsM+lpJn@)a%6(1ekAE)xMkmLVEu4cb{=|-OJ@?)EQSfq$w&H)kGk3M@U-@*Qhm#)*HZ5A;E
zbZ73#)G^=c_Q5@DI6Q1U<@jqWCtrufmML9loP|jq`>XNpPo4gu}rPd#AXw67dF(k@D{vmX+4R`gibz_}M
ztGrwftre`yiICmn>Ca^OI`EZgNoq8?=P1fX@6}bb&G*iOqS{$;<{~|rOWEecU041i
zTT{p17l*oUU*#N}txR2N?@J%NKKB|hlF}24#hbj0nG&w~2O
zPcwAVPz#29_BM`QDOP5z%AfC&kF?XZ}Hg0g+5-?9|;ieQ^tZPuR>JENvD*$m&=h>ADlif`Y3N
zqs(vHdkZLATD`?0A?p#-B0qkKKK6)t(A7GC)vr6RrzldNY+9UfdC@-k=Jq0Y?@Prf
zmjKDBMc>jyT&B&lr6=R|*#lj*+wT5OB(V4=$uDlx#1k5
zwKI$M_kNo_CFAH^{f1Gg|E$K(hC?h-;ijG2Yx~0M2B&}fsojHu(#;r_MqX7{xyw>|5#9T#I;zX%FhaEpOSq{WT!Eb0w6$e`-#DJhLH;RNledIkPQP8
zE*}GBGCv$M82%v+gneXcEQc7iMog-}l^jEh%l-v)_r5-!jm}A(7Pvq(AQ&%7Lv^0s
zI`}%dN4E-Kun`ShoeSo8>2lF!rJ`2*BK^IeqfRe)A9UZ-hR@v1uk_92%Eg|;@e<6N
zw#BR^Tet*2PX`JAtlL1xL3!;y=bu_fqv4TNp2kb1k91g6*O3a}CTzv@WRcj$pR=WC
zcG>Wwy0MD>_74>Q64-!mAhbs_Vp6$sRV7bjplojM@?9|?0r^7kBsquvB{
z(~tuFlK3A#31saQ>=frVyiOpj1PC4UlR0dER
z3=6KzWfwwSvLZQDtm2oLLzoG@7HoWwzQ6Nn5vl%OJy%B
z{(5R|Q7S#)_`;@%lnaxB6i(UqK513pd++%3@@U@tQhGoT7&xeTQYIOhB~Tcucxlw2
ztimxW=*)(+_w}36PF>ho0FY-SUXw|}Ek9>!dHAmmE$ygEY6CMXN53S8vtum$2+v-o?J}%?e5*UDq=z$rWzh`Fa&qwd*|MqeqMBIo^k<|a?7ctEWro>
z=dHB1Kk$TQDs+8BsIp*0Sm?R;4bSI`6&rkdyw-cI{c&AHcVF@!)_9ic_YP%$su5x?
zGZuN*QfqWPj)`KEJV%9QJ%c-SU&il#blJU~&Zv@>o)~BSPMa=YkM>nLcYlP#F4Ayt
zps1vJd@d6eP<=nlb4lZ9m|3Qdq@%;t`dA%>=I^O}XzXRziwYLv-
zWAC)hC>fYrg$3Pjz4z~_ijGT*PTEzudHr8`ozk=87?)3HO+TjyA2i*l!M!NE
z+gSZH>7|BtC&*l+KkzuHp^I#HZK(x-n&yAVYKnn
z0xoyX+vE_*MAKS(%lw)4I79m3Hj=-;2Fm>8Z84LVmXwfPChs`)l%gc{_01$ljXyPq
zL&YQMAmG{(|5;X`EYZ;}{rV`vN2mH&^0xD8Q*WNqp$zsV$>M`NuJil;=c1C
zPj1c?O+V{K^20c3!gGO{`;9_2Ep`vFSIbW_*#P1pVV@lGE;hEU2pPIQ~$U@_+cJRN@t?*
z01d;mG4>PFM13;aI0{9d0OT!OL-x^oda}}6^@djCe7aZ)?WG}6v`k!KoLE^?dU~MF
z&R|<|qCwNhVZ24!RNkq$#=g=>Z-2zVP>N+9^!45Z%l4?f?S#S8ap$86Q+k$9F0Yq>
zsIP3fpU!w-m~rq?QA&kz=mv+zpmBIHUf10qXk&7%Pz&|WIIr`57}VsZ%cQQRa8zYh
zP#Ee`g2`o3US}wGjC&rTaw@3R#Ifapheck(^3+zuxE#GD|G2%2_pE0QGA^vb;HV>p
zb2?0TI{B$F^Olt3gUa1C%#|XhC?%n+1XT7POiHDA`-3x1wrsyg9_I6E`iVB(_)@{g
zGF>1$6@Rt(5=+*>Np1FZQGMql3i?f!;h+AC0_u(}>Z$@W6+LFAGiK+;WrE!6Z(V+T
z;q>F4y2oB9eZhh8MyUSXtQoBwbMap@CH;+6`ls>Rk2^%G#Ms%?*)8&jQ>A4pZ5t)n
zhWow6Rd!d+dRr}S6g*LGm>J|OsTP$fDVFFJu#A9M<{uZ;nOjcCR*mIKOy^o&+as7u
zKRx63v=VKcYzy(}vRp9CRhG1(NmCXqty<>wR>G{FCs?iJTCHE^8L6~-X^7GT06lc-
zs{^aeKUS|<=3XD%eCaT2;+6R(4060P?VW{t^Ef5}W^
zA`IArJH|qHP73b*~7-x0;*>U
zbp&h()AQ(|*`YY-dniDNUEu1q;rfRBR=mImyUu9}DqdSiCW7ps0QQ?Lu(lxl%2srC
zVWg6>_i${_*Us_CQtI1Ndo2n_1W4=^2QxlP4n~&i1r+3v%=2V9E=n?*!ZHo0%#vlR
zjCWolCw&K#HOLUJL0GJP9z)b1Mg|{`tKGogUCMg&RZHI=5FmpL<&eC12sZ#2pZGf%
z8bNk{+bat!cYM_=#yaTh0#H1}B$i?La|HTRl94M!e<%ZO4BOK+&!ehO*mo4!1DPuY
zz%W=6fCK?%*cCm1EFg)r6La($O3~Ycm{0*&gia=P$%$3-TMii_3I4YI;E}IWmIm3>
zAz51v#K6!Y=2!HlDK^niAGu72J;yL=x&wAq8}B4k01<2lfQb3b&eec3z1=C9=B98U
zLdWG564DIz#%r~Eg@=9@`Qk+lvAwEN-bQoDrGUM_qM9!;~
zm|4B}v`lr{15vcLrQEuXJ$cgr9z=s2LDwx3GjD&;12iB&8CiNB1_zSe$&|{W6obyS
zTXG2Qeo{sv$xOkCrEJ-nj8v;KY!d4`LxLkRkpwK+V)jJ_ak$xw%z=iZGa-&tioyK4
zK|hJRb1j()PoSpjtz}%2bIqE5{;*e*5$1M8!`Y5?OIMIf@6(OF$ma7f@5~gqq+14z
z?BJD}0Rv1T)^hxz{f=Z65+jCKF#rRuzuIsgTe@iq($k=j{2!1KS2P@lS=I{qyvQsX
z5P1?g?E}Ql3I@c&d?(;0Ua8sNHuX-tpvFM}zzf1EfR{NpD=b!Dk2z5DGVyXqNdFRq
zVRvr^Y~+v!iO55LXv`4ASOdCiv8w6+x*+9s$HNzvAGGFt0pu>g?X{*C-#1WfrlLjS3i`fs{84)5Mr+6{LhwJ*KCbAB?E3?`D{Bucd$5_;$rQuP{rK?AWz
z@3sdJnPfph9~_$x!V3_V_W`gz3`DM2J{d*!(e@yNYrLVE^dv_>Qe0bplOAMXC-^P%
z%+Ml-BuGJgQFO-^q40)-7sNvacnUx~WpslefE^2BF$Kv+Q!s}*w|xR`Jyrf>@4&
zz4G5xP3}~5ym3koXgXD%}<;TouICyjOZ*_q6KdgVn&+3;qS-p-mr30yaV)8o%uk45*eg
z05u$pT-Xo3;7?tpa*%w7cXvI+LC(hh(`+At>cb}c!sY|QQKBCn|2tSN30?0SSnv!>
zkJ+!E3;${VXmQoAM;?^x8BY7x*LNYT*ZSic$Hy1nx9f*P-s%nQ^o1=OzkAoA`CQFz
zt1tY+$>zt~4=*@bhkxcC-s^Z5qW5X-;e|uv3*Tc-S$e)MM}Pcp##uLg=hD9e_E>-K
z{LG!f9?x;_1^8`!55S;7dfcerF{OwfKJToj;;d2X8z5X6$XY%P?zL!nWI!&b
zq{|)(VN#RPP>#1&yjH1Z)3XH;kt+(3yw^}1ftj0rNE&o5j~H255Xt^L`>SjwHUkMH
zS_@~SzR`IhVFF%|1*xw;x3t+LDc`mSNSI$GYAeNdSx2tnta&P*vbu6;i9w9_U}$bzE&bb}m!+X8GxKNBu=U
zPSou&2c-44LoM>Rw8)3wkZ3&?Qeu`zY4ljux$}Y7$p1gnx)#6(J`euCOzVb0V-qa=
z%>QFr@2Z=~`M*u;X4eA4ddzzEW@r9Cru9qja?7@F4qbkba3Jvin$}%ETWKZSvs3zC
z)B3$FQQ=Oc%GKiz!m@c^+y9u>aa9hZCRt%Xb@Tt4)|suZE4Mjl$LUS(p80=F>xv^F
z+C8hy2iEebxN6G*hG`w@0Ytd?Aa@kKIjR)t|wUS`604ryY{ZjlS$Wx>4TS?
z;gI>nV)c)&)pa34)`R_@DcY$*=k?UpzP@D+Kb~F;ILbFHNa(-JmKgWpBki8}$rHeg
zhWnq2xxucI!|~hR#7DPoT?PvU{nelCyz-%JNbQJg$}IuJ9m|O*+=page;r~{^>Uv2
zU@yFmcBH5BZuwDIJ@y#Av|q?5*~u~(C;rX`Vc
zg?&KMl}m7cud$5#D76}bFMMZ>0L$Box463+k!j>b-zaHgsO
zacg)(ZcB>~(gaT5J=a&o&roEH7FoyW6xailhWT(>1^OBsKA*hr{)cG9MIs89hI5ad
z`EhBn(COy~Bwu6-5*(=)um9*Pb&OTLY{Y=umS~&y`ak|izh{z6*;jYWcnRZldw@EI
zFnXkY00XWnFmFU&F$e)gN-JD&n;^
z=qtHiFlwGKx}G;pOaYUk6hUD&Foggrw#aij^ea3A-2NovqHTNwV5d{g)kf_Rht_co
zPm2Ib6to85g)}d#H*$xz&Tx((2xVFPe7g`~jYSIiVHqAy&($#=j4-bmq7^qUT{jAwT&Ixbs^nwHWg144vC*B
zpEtC*x@dSaJ-FE;Y=p(&5T6-82Ifb0i=Unw@e=E#vb>ln{G`)XC-ix?A|hy^%=DSU
z8BV9CY$68I&{`&UNhBAO2~1>gK8at0jJzCS70aI4s2S{K<(q8VdwHq!^zYjqG$6zI
zj4G~MavUYA02YsUCi0|v_I7J)p&jeEs(MujrTe>d`>I&8)eVEUC5#kkO{56Rjhv1(
zE%yFN$By=q*#f|{Qi5THwIL<1&p&9Zr*d^Uw{W;-`#C>AJ8_yscm#snTe#zzVFGO_Gg)`r$3J?kJyXrEt5Bni@{q1NAKMk}
zI9l@@_Yq@+Q}=mw9N(m-VpVTNYLNI^tv~p+S2`LdTc-*NiQIARqBX;r!IHW3q2}~l}sN4x=u561!*-m||JNji(WBJyh1kamMn;fq4cV4Tw(ali@W*yR>BW<8V0zA_a<-3>OGks}Rub$q^
zC--PjYa^WdM?o!Xa=f9Hs_Ij5!SnCG{yweo&Q{3ueYJu{bbEd{Q`WC{H2@4iass6^
zV>!SpTZ&Q8Qp)XrHnW9GF*q7?y_Gi}oAfQ_RB8AfnNgleg$(>2oz)dc;Ti^>q{@O0
zfaB3wMqkm5f#UmSkBn8y
zmC^k}W7FmO`4~lj%wmm&D!_3W7loh;@NyBLrR-d(l%|x+s#0C|$M|~ykMIwdgC6G^XB*enm?kc<=pl07~X#0;MU5jBjm3#}lrc{wx~$%9-c&
zeQQaztDGZJ@c^)I!m^;iB#vjefDlJ;z@$L6)I?d(0DhTv75(KZoK
z5*fBppAJqlym>k6hPsKZ1ne9Qqy+$HY0x+<(SWf&ID{Fen)5|kU-=Q%mz=3B%!&Gu
zd5MxHAe;^^gt^qjSQf$HwT6#0+~s&;4A!8GP$t6-%y3U97@;fi474cPma0|)05uWT
z32*)@*o$cQzVINHdwJYl97HxbWTYHn#)l9_&)PSF0$>pl5pjA~U=}n`v;xA1XsF~x
zK?ozHuV7RhU{+qJ8h{DnooPW&(-=wK$wXgB<1m1ypY768`5%|MbqEQaL`%h7fjMH~
zFS$}3Yr<6~Q`-P|cqyhIj{+}%*#v>44~yz8Qi$J6a1zuC#tcCZ=nbqqiCiO>4drZTmvoJ5EaLRiIO5(lP`J)
zVzMRW!Gw~#6Q#WLQngx@AVQg=B>ESpLsA23J{r?qRt7;PDLU~P=$GG(E=k<4$eqlw
zkA%ZUR0>f*Y$r-a3S;DlggcfwVQeKR;{Ikb5=v+amLaW0)E%P8HBrRXqMxr8Cvk)bcB!Qsa^Qa}r5Q05HQD
zRbPN`!o#Y}&@P?O6SJf*W`!sc`$tU-WJ`7dc8lgvqYbJB3gEmyZv7}p0^2gr0RW)@
zb|DkJ*_-}Nsy4>QAhew0te6m6w$HXG~1!k=`Qv3Ojkmk@<_D7S3fu%uJR84{C2SgUv8%cdZDHss>oz`7(S92
z1FwaXYO3R%F)0X+)Sf!`pmH-@dej0e-Lw(#YE;&$9lKH7kb)j3*J}R?XBb*MIve4t
zHLe7a6}w9K38jhzz6_vquNF0332BUdp%TT%!(Wc}V4}c2$1n`OeCBAKf))~oRIa%U
zwZHYwizsh=HQ2kQ)HUe0=KSk>`4a5yITD@Ej<=1pUcs0SPyO7gIgDL1H{yLM$Q(SEr;m*9)kYw9rMPC
z7y9Q9KJt(D2quxScXtc5;vmehnAC2$f^KU(+;6_y4jacw&l>@NNpx>FmFXb*bZT*{
z?#sJ{tySCEIxiqd>xdpd?LPY&gekEYFfu|BnEi=J01G*j;d>Pc;9Kwg{?)~s923S7
zO+~gF-BUNw?lZmG|~IR#jC=R@Yt%nK*{!!!x>yt#p0
zf##G&-&rg=y8!+4aM+^%<`(}D5}xbq1;gI!PQ5dfVSvo;d{}u2J^Op`tHq;18Q7g{
zm|(<^oI=0fd&Pfu&`)Uy*tc3(7QDf&-6F5hZ-pmm)Sv&&6OHA#I
zc=dU79OG^{@m{6CV)UsA`gg{F)WL(%7o#MiN?2e5iRy9k`w^I4z#TJQ^>ECR1@I_n
zi6j*OhmUZvgp!)l$vUVs@zXE{lIfDk5D&%+u?kFSvoPgKyiG7$5}
zED*{JM(|Nq?49LB~l
z=CC;7CBiwW?ll|K{yhP8$a(Y&FyNuscc^SB3Tk-_-Hb&1TE-lTNc1LLim+-4{1m3nst
zh=)T)w6+e$cu958C1IgFSXu0V;hH$kJ1UzuY0C1#N&?!Z&J=Bj1aG)Z)j5j^n%CbU
z+8W$`O~85rP4jldhNDvW;$Nj^YH09vY=`uR4xhr{KT`dkPhg=Y@C#Q#9w@OWd<@`?
zxW`RZeL58vj+)Lpch3>!uh0=6?nmD~vmXWD?(vjna$%d;ZHWbm`;Q^}x$yQx@;6J;G~vO`L{!~?ac{WaHT#*I!s)#zSZ>I$+w5}zTiacE@5NShv%3;a`10iz
zvg75+>CQN4Eni}s7AZ1*^Z8zYP;zo!B8m@HIXhQMIA|HI^x);3H4=V;M}r8w(oH0Q
zWC_TEC~b#2{}L^AR{mNDKV7LgE&=T~ff={Y*iS2Ag`;}-uONg{qlF<-_k46iwdTSF
zfmSV7yqI5mLAU#nt6&cD0v3sadpe_jv&2`zP$9eJKnDUovkvI2COXM3Y$q-3N|{|a
zI1)AA2_+!K2&Gbba)u*=e3zx&KB0u}UTN0inRm?y!lGv6k_+M0)7Ub|`t1<&d8p5@
z$wJ=UAJ=XYNhBDpJ=fzcOxC1A-l!Afe-!S%PdxYgC_sx8x{LGXCH%Hf4>cF^cFkN%
zEQLKg8}g;>T4~7pA6mg-Y9uFRIiuU}ohM%ck@(=i-9Hrr8m>t#Mi$WV6A2eDJE5h_9ii2BM;2;EO?)nEKS)UQ;
zVY1ksHTvl7khL=BJ^}Nlr_H2-KAN&T0-U@-a&qxU$uC+h>EWJ2k5rE*pr-
z^A&vIh9qx2l*&X=(!tt1up95i
zx0C3q)2I*74$U72acw{AU0?q_+=$En<&yF{+DEdECI+TdUg$GYSig5O94#vSz?u$N
z^_>8KZ;AsSj_&&NMu67v9)aHYk*-M@m{Hn(WJ#)^UOycZMqa
zFMBsS6{@ol
z!T5*#B4iVb;$kV15=A$iuruxQbkMK@mO!*wDS#AN6Ah*#fCfgrQT%Uh=Lb~`$Dvbj
z)zI&8Q{uW>dWBu1A7@(6By@bWaVyWdx)py@&Bbzc$}AJ$%4&bAFx=_#(fM!6l2om6
z>iy7eCcCh_>@X;?zw3x$JSiWP`efL@eIpNwDV4l?}3sG$nd-$qMM72RG<{{H-6uLQqSksc}9IO*XN}}YrL;|5$Tb6Y8Oy2?7<5Q3TX>Dy0_D_
zgLl4Zsy}X&aKPg6ynvxlSM?uTEz?>`E_TNz_~m8+=YIP7i0+nIr9dQ^H(89sruM5o
zSAK-Vithgp_ROA?@Hn&~Nf-^!3fzQRlfkA=FtvV$gz^!yrh$)etEvb|03}ce{sPxP
zWht*}X4~X;Zqe1D1W>?J6`e9N6u(B7;3QkJWoh
zp>U!Wq?G0WdT2UT1~(6qv+QxSeNvq4uP^ysZH-C#F5GF%YB;)TA!ZBEGqYD3abZ6B
z5i?QJcFD@|btucdj{7i()R!+-`geQg9dIRVJ|f@Kgv-0b2|Gde%N|y7tI#5dWinW)
zk1W>H)vZuHOPAJA9Gz@OAIq#_N}s~BU5-vwjhvXi_j?K!-%2^@o(u+l0=mJGhJ?#o
zq33YUlM=2RWK{hcl#rQBw;?wi?@Sp~9+_vL3+6pXS^MoCL0$hdcSoL$!ciM@bdt=
z$%g27i$pzCxp%ZFg(nS0TmCLC29(@D6b7j0K~#-Mun&$#r#h7i7JaFz&3!W+JOE=@=SY53w1mm`7YY<<{r_G
z`09Uuz__r*tGXN!K!B*E6fO`mB>H)FJ(pJ8%1sU0g{B_zgC}j
zsoCL#AyhIQBD-VIy?z04OYz
zGcgiK(Z&fVuJ>dj`|yr)@z|?3K8#*4wTqV8L$C{^Ny?;ek?*-mv#^=8!R?d3?p#a!
zY?#1hssa>3>?l>*p#{8m{=%EaWE2qd$<1|R(Ou)(^$Cw)d0A(k*rq3R2uN>+-^z)a
zXD$Rq0=~)g$b1`4>h`=nZ@ovUhHc$34pDffL={T5y#LwMP2_Al*TQf6E=^gFuBU%G
z>$qiglxD!X)*x>(M$0_5QsG`6Pr~;pa+w0PO1`gXlolWHEf597Ibb5VxgZElqp{%J
z&dBp24xjWCAe&IkB2zI{aD!;~P?oAz}*{*Wr<67+9xn^uXfZ+il1f
z3(Asz%(?Hr8kmdjExgfrac^&?ET>8`Y*6>m7E}FOJ22`*9b#}B36el&*Kmn)WA+dG
zDfqFmX)+Te70dN8Pn(A71M@k!Wx?zJezG(Ie;0pMn0xy*x>b3I&eB9hKIKeole>pP
z^c^HmrOZNsnn+2SW0T_WJBi;nlGz?z8qz7eyF|~`BBcWw_Vx~ZCFU)^c_9~=
zovT+c{lL(&CO+OAe7fDLO3(e}>LDRhoz#2mp{@`9$l8YF<iv_aj*Xl|5+}tOg`JM-a#-ZysKE2&85vRE+FC+
zN5l#wR}97UtfQFB>+EnI%*z_aOn@EIfc^o|ktl{NqLs0h_pOOP{j6pqBcJ}q!mFW{
zJ&V+e%d+5G*qDkVGa_nZ;#QfGKP)J5R`pZ^;%Pq^#G1^u4om4e~w)-w9c+*h4{h
zU^!Giq~rylu?B2e9w_=MH)!o&UBr-_v1z<)c9+J5AO|IpzYXYz2W`5t97zs=9CnWb
zN5Oljc2;jeLLwobX;Up3n*vh<(RV1pde)F2ANv)#EOnl=b=h4X_bM+}?K2JiwF@jy
zA(TkHt-W>;?|nrroq_AhdT4rgKLiL#2RVfe)#5?Li#0sFyebF?>XI6xHN`;by4$-n
z-4SFmLLnFO9Y1`)yo$dKrE4dy>CGTwWo+nz>}TYG{@k(q6q&Uw4-Wh2Bx@~e1ZQ2_
z56-ig1)+lr82wOc%XtWt?l;T!K|s}Lytj0SyC
zIo%WG?wcwcGSr@*mDeH_+I4@%)RM{vxzyCHiRXF^-~l4kkd}3$rKQOo1OT9IDI6v8
z*st{b9G~KoRD{(mQ^6b5XlG)vAy2}y{HhT0BH=Yn6lH_RSl=p?m2mZj-p6vX!1VZe
z*ieghFGdMKjC$oW)gVS*409O{2#pP6(zj&$J)Uw(hf8>IR8I$q
z-2k6ywye^(LG0tJ1&eIdcrcm>(IH=XXs5=WzslfB389a~!GHrF;)Z2cM>SVVK>w#4
z=Q4wyAswfUS$t-=Ps8SR*99%m>oCrL-@Ud}Jm(M)+{UPQ8?P3iV-OHS8q)^fqZy~C
z``5t_M7P+m)eXz5M|pX7wdN+004&6w13l{q#>C|oF)dW|I8PVyKVZG3frqc_CSSWF
zlvIVkytA~)=p?%lBptGCSxSSb^$>feA_@YuxT0gGrm_$t5PChg;M|&3FqW;@#aO4J
zEwM6s2nhbU^h>N>1xRwP5xG1%X>KpKWkSp6Vp*JA=<8r8u+dJzvOcP01zv)zytx(E
zs2rYpE(h^Q*ep6XSu+VuBosrl4M*hK43$*8!%lw-xq;M^H1U~sPm^bHjlp|3+f_Lf
z1k}E3ntB*A6h;9|?y@#K*?b5Y@rY>X@7OgBVZrL=0G&8VX{N8tqEuaoU%W-V(I{^R*@?3IgG1&Z=^AA->ud$fhw19XY`+
z+zdB_+H#ZopNB;u7m5Zewdn)K#2OPivr$kSuqZR9{JbYd0{NS%$5na~hEtIZVXd)H
zH_ZTH(D_?_vAxc$*-^a=%Y$+7Korc34%u;l`6&Y=X3-tgjhnuL`QB|>wyZ|fzS`V^
z?wy$RrXk$O9Q(M?q}=Q{e0Ju{uH(Zm7;(=T>1tZRBXMW5cj!SwiaV~|yoBTHYnz!J
zJduBIEPu;Uzi?bzWomK`^cCr&%&{<$vI1VdQ$^TeiJPHpkwcOFo25+(IH`)z1xC!$
zA=WKfakr>8Rrzmes#;um(z0gg310VbzLtlGT@R7DA+uokYAj(g_3Rlv22%?k4EYRt
zAO132g_D~OnD&cCyzm}>1Ua3dKgBSebqWFCA#{@x;bo%}=Yle_Nd1>W2dcp0=O?By
z*TJvSGbMnoGk?yW`D-7!F>f{|aNXm`dEkor)ME#+VBX+e-^rQdJgdjizG_UQM(^D9u=M
z9(~@ZeoROH4p1_Y-nX7%1yAPVMvFdH$+mn}u-{;XjuBoH`}X0WefReXU+xnYUeHO;
zDpG1c$(}nNlBL}Oh9B?O!Me?S3oGgdFDUCRN)~QQ2lqBCx#>6^^MmM&j^pA;M0@bc
zy0~Rt)jrKGPZ(fIdmFf;RV|L;ma!mTAh~G=(My)0ZO83c%hJR1eYp3EGCV5D;*(X;
zOz(FpF<_14ZWDY>4yUw!EttLhIG4B2UhSFPZI)e27Q!t{%cJMDve_01$8kbIRD~=L
zYn&PaT6`U5o2=>;a$&OneakvX-DTl~Lj7y-gVj((e57IQ_s1Yj_|(gYy@?>(4b~O(
z`Qxqu^b5CtFG1A0Ja!7fBx@#7nB}u3GO)97LVRqf`O8p=KlarZiOf>Z_y+A)C|BQ{
zxS5O}qOT^K`SY<#CgZst)P9qlzzYpUOTA#ur5
z=}*^E!AYi;cddu3rAhilu+fu!ZdNs(oC%*>j27&5-@I@o$RilAJzeshi<-`S*2Pow
z-TQP*x=TE$g{@V2gRxKV?uhj?HM}PT`&#yi{9g>C`Pk@!Ef$x(m&Q(rgSW4-6gW4_
zKY~91HQMQ+pTD=5Y}m%FhigX__SnB0>T7x*pUB<_9wX=bpp2@?tAuXByJMei5D^0VfLTlWR<
z*t=8_JFSy=$se+lVRyH`x^|YWGs-;j(^qwk4iQq&8}09^_}bLMkMLxaYZlJh-62n>
zOVB_uS)?SNC!VzS`2lqghFAcs%lTP*H(+INC2aW+Z57VUTsgmliP|*+#%7g~D|t@q
zt-|2h9XiO5jFUCZ7wVcr8u!@>cdL@YVipQpztW*kXQ1H&i5sA->lp~Amh*R&Csab2
z$3K8&g6U%dftYLkk=p7+y-j{~kB+IORD?E0HwC?F%+
zZBAy{_Nm*?OI7cCX6AAPA3stSgTTDOT9BD%A;8X>AQiETENgxsAJ!MYKK6kj@<>f=
zNDlOuc?cept$yWnfyL$k=qxbY;k4tqy&loyY2J&J?ym+
zH)}J%g)6ZM-LqVG@kPFa+?69a>06wtVYOso`-;Yc4~=sI)dwlyiR;qG@0taK&x}v?
zS`FY^vg?-44FYe*pF2OeKdcZvkcnFh3s5|5J4pjZuRzziTYi~15egp
zmW1HF8FDQ^y8#`E2hz>y+Xddin--^?I2pCVOa@pc9gsmm)Bq^t7Zlvg_EtxTXJ+?Q
zF^Rzt%@I3{;7-^KlWilj3O;k#Bg+DTjaiBZgqc8k_9=Hn@^{JNY@BUbwHguCq{S=kJN+)H
zl=qOBm{9N;jsSp%J?J|1$Kl3On|GgYrZ8**`iOjU(3Cc8xD20@%#Ef
zQQucOdv5uw_IQ=){;BqOxmdKi?Mck_58rf!JZg@tVZwK!Z`1yVTF4uz^HXM#7uu>f
zCCO$$*fPp&*^OsRwH<2S{RT?c_X49olZb6IdR`YTPoas2=gW;~Ky%o$@5b}Z+tYqZ
zC2p83ZVlxrY96|8{m!pJ&@3P|EnjjYJBDp5dA7O#9nT7O+~+Ivmy-|zRA)(>~Z+6GVVV%(-w)^m*ri3-WIyVri5mlu7T#qND-jkX9a95hNO=D@;{F3ynYf
zR~3AT;cA{SJxhA+?|180BnPl|aNC7F33t_>S4z!23b+$c*!?FO2>xO*0)NHC@0{my
zTe!*KHrDQL>G9OM~bT{m=zKcw%08FygLV@`q(FbZ#()K9U
z(Pj7XgHY!>+6jtxfP3$KY;}}Q%7+v!#8T_Ux-sIEO9y2P@10OLxe(R;L5FK_Y5%I&Ui=-FN@ifC
zySr2mH&cXlxK@j7GFwZWj5jtPE$dZ@XaFN{Cdr~rDogOOr^>PxTJ%pMv9t%`U>Q&c
ztTp6lCrtKSj_XGFyPE(*#WClf5Bj^&fr2Rq#o`n!3og@>d|1*7(bg{5$^(T#`GyZf
zUcktQD^tGiCJiH}jLRj-a^OOem~2#VJBc=hSQ5Jf|2GG|{O09UxAXDy-9vEMo_Uts
zA>kw#t+;i<>{-m2K-jbAof3Q*?a~mH%I$1rQv1%I>Ri0K@Wm>?0+%+BFVQ81SYcLSEL-
zy#w6=V6<##Dy!l0a#2!;rbPkUjuCw3(t;os=(irFcr-bFJh65E(_YJO<9=$-h#HIe
z;VVq5EB&Hb$67YiKL+&)Ox9P3Rz7%s0jV}xcq(iWrF(E5X4mve7kVW(xN8u51%)u8
z9p3r(^JR9~f%>-(=}=;vcV^9oBLc)@^LoJwB83Y?KCULe10)V!cT9_$lCX7bMWv%)
ziqgKE^9R8|nhTH8Ox6CY^oSi%rX&TqT4r=*gkwUXs+f28DA1^yN_Dx*j!%0U);`I_
zaGebsDRL^FBpF}XEUb03BL?8d!6#YTYbZ9O;B$V_iD>UDbi>~+V{q+tHFYjGTa(q0
z2De$DWX?)5P*E~@_#qXk>%}%|P9e>BHbr8XwDpfH4xG}ut58SIrmWM&RAha-q^2N+
zU9u(j>@K)#+3a2lPS8te3Bk2BUQ6kvNYY!X45B9??ti`UUCS`T<>axx0mm9^w><4+
zZ7vnWD+EVIsioSec3!9W_-|__k6vNP*dnX{`>X4|x~QfeOp)>{2IDUt&bHaOuh1uC
zTI``nI*1P;S>8ixD9W{{qBBiYpYxOiwBs5bjJ_eN8@r1G$I77%f*LtYDqEESfPr|t
zCi%#3mzciy)jPZ$RNBBUWDStG9%fXfikDq1Qk45okLvy4XIViX9f#$<2>{Le)HYL2
zz^kX+c+GB^vF7;#(?yj|6Wt5ZThxn(PJT*`cr(-THx>WtjW_NU9hVLPQ{`RR6Z+
zG6Ty8==A_UYg7UaY#mhMCIQ^21`9^pt2c)F@^x)h{Q_=Mx*!xBJ!-~@ls-WN`#s6K
zZaznolHI*+FJD)sUV=5Cc*?ZLV1{tyP;4V1#`|!!MrZhwpkWTNH7`gxr}OK9G2@5=
ztU^Xs)_1&w=Cl0#P+8?N4gt
z^)-kjo=9G0HGn>cm5_yBSn8!D;X4YFu2gn>y(H~)YgS1#Y~C@>K>n>M?Y$w)w&qa8
z+yQ#iipK7nBC{a-KZ}NA3~2`NM&Th(UAC+|esUW{DjMr_G5`~A0>N7)c?TSJy2dx*
z5Yph+xAMH!ww2!hO39I)1;AKuru8yi?0T!~8rLMoVqAo2?4nB)yc;*L4ZO4mX31ap
zeFHxgJ#_%YuM8*<-@ZnWmP|Fr_u{jyh9Z#%*Bn%(uZVkKNzx5EDemcAX7t`&h6k_{-slDZ?O95P`WO0
zi?WjI#%+Mv-6a9$1c^XmI6kn8*|cgJar4~4jHN=8SNmQ!g{GcwGxE867bFaMd5I|J
zSCXZ~lmT|07!3IQcN+Vgd!qny!7%^$ZQPu=^;=!GF#wMY1kGy`9!Y$+dllpUq
z<@591)>J&Qeb}xDPaH$cb6}DU+c{6SUHb?8|8H;sSwa
zC8>@Xd^{{rAv(&L3see3Y7EfBki2Hr)6IiC5^~S_C=?<;<;wzfL{s-K-N#D}a;jVo
zMmrK(ir3>E!Sc}HXZ|Lej&_^Hk)P|`3YgLZju@=ZZWaTRP8Z#oZyY3xOq+CVq~qwg
zs+cq3?Hp6g)hkO2D%V31IUsYSD%wy(0j&(_9&%dMXwc9@2kX$b1%X?EDxfuwOn>3l
z6X0&*;}r5(&6`^6|J0p-c9{;66In<9l2HZF>=QhU&f@xL16Xecx$VJo)O3Ff1(rcq
zNCzJsD1HF|_yVl&?)%QxuigP30pp=}v}qo~O6Twh&H#X%al9__ik3T#hEd?#G>rPZ
zJ?=lclg3f`{8VNxFD>q2If#$P6zUE$)CS0^Cg+nD1zoLAw2pTL&En7six14E%B}uocou
zP&`fG%)kE#D{IqsPyVlqOPD~u&UrIe%V@{jZ5?AmcaSOy94t$f2n9c|7}Zc^l?FFm
z1L&ld;)ysFfLN#+Hi(&*{VC2O_6roG3Mr3YID_SYX0Did&}g(kkvvw17~3F>oYQl@
z3Y7|Uj`fJHQH~Qpiv$>Rfuzg4$}HH(d@D?I(qFDc8wi7WUXa#)JgCdp1lsFV69r-i
zE64+~kFn50AiBzxJl+aZ4UoWd7z+MQ*U1a(JdX(%ox@Lt+FAq=69N?${Y)VPJ4$))
zzjP4HpLdyge0@kCOgAK|syr585n~h-^E43{i9?AZ~
zsiVsRRc+lO0obX?Y@PB>z$~3*EAtuZ9A><-gH%au2ADn%(7$7M?+yVkt_zgw&bzJ2
z5&nkjBmxI)s&n4y+SqIf@afFEaf(Nj3q38Dz1;ox2Uk<U^$j7Y0QA9QSjQ~xd-on<|H2Y(XmR8Rm%@UKV2AuBm-R42poLuxZ%tls
z*E9MEXD%t0OB{d2nm-GcxeZ-jdhU!DxIA|H)Fr^12ei13>!`8rY7IJjd+dMwar;5W
zgbU-U?WL1__fxJUWH??@Y|RUl{X{VV#ejecBWCj9;8j!RK_6dU)0=}-Xvw^o3m
zOIu%Og`&2oVy)qoAB9N&05*tzsX{!*S3g5bu*bH4dmtK=Y?)|&jV_)x_qN;EUVghH85o?4p;x63v)eKnkM*l`tym8MthjVwhI+K)ePQ
zUwJfS_paLp4QSo3<{pN2cY{({wG|(nu~kRQUX+C}@GBsKiI3`N+>QyBC4%*R4tx$@
zbF3uB1Op-d(-KM8)vWiqZwz99GnCa!PZgf0E6HhR!YXz+8nPhURqGh%mvxt%wXs`J
zxeeF-FUbZ4he*Ui5AuEOFsj=B^zD%cBv_T0+PCoH&_T-I0oK1~>ektUkos4Z^ZVau
zj8rA&X_8=@VPfq|ly^#wgM^i=PDaes#M@`GdORkje@qt(&YvS2QoQNy`D!Paax5;+
zTkRkHBjrRXIemfRSp58;qFly=0-oVtmq-2{#{PR?O>Jathi^nzqFTJ?j@8KLhg45k
zFtq7|YD9*!GSmjW4HyFBw#8r^jpXATjSE(eKLq`;?wU|`)aN`VibG|(C~;RLwhe)0
zP))pnB?}=%PCw{#pp;eRSmXUam}*VN~TVN
zfcz6Bvw!m_b|8fUs1{Hd5f74;0;}>rt7#?tmhf|5srhqAS2gU_+gufm=O#EwvCi8=
z3ejMYoXgP`x$afaAE~$AzDx}$Q#JY0w-2wrpW34yN|8+!tQ0V`SuuJiyWQ$8xeHOa
z{>zdwc@ekufiOmIA4yj|TYH(ZX23n)Lm8SPk~EUw&zMAnzUne#b?}|yG)Q$^RD$=>
z)6)ln-{91TLc@0}3eSXLD>Uyw4PBr`Bv1kIEhU(uu+d`Z!GNM;Bj%HJZ;o6*!Pj*f
z`%W}mnHMk*CUQC(2
zVU*O&ZmJD^HM-!&zkRQ|k7be+Sn;Hs5VNp;YFz-=^G|Zf4MR
zz?cE!v>M3`GcRGX*57j7h{%_(hE#au5b_#DYVb`e=wsw(cRPJ7-4i)t9<0k&vv)9G
zp2TA(T!44lI>k5`=hQMqrhu}iymyClmRUb|=dkmyiiBiUM>BdYrd`3?kwU%AlKcM9
zmG#bf!|6%K-r$`_eG7a~*`?~>qHqPwm?uWTkwlfFcAZadn&LFT2MvFtmpu@KItvRfl#?txl+GuJz$_d(xe2
zQ3HFGZ5bqgcRfss4h^i1rK*lzTV22Bgc+Pg-wpD=#yCFR9lL9U+eZ!t%aB_O@M9D^Ph{*<*eS8>3xmnVK(mQBnmGZil3>kF5N>OI$5fY$=^$)>tEX$S+
z-68P8DQ3Voy4V{36{w{=v8F7@CbzOb_w-7Jn&Wzah0{rPHLicZVy=TpKjlQQ+7QzK
z3o-G(i(I2)@B%GlqC@HvR3g-@s?+)Vl!6pEI3ZDPj{Kr7B2Yi`K?Jrn%vUFi;_zb3
zUft0Io0Xb46!aflr{9Qy=|5lD%S?(o3f)V^Qpe{9)j$;;cHg8|j-k*k$I
za>spJJVCKwdZpbuC9%>21=c2uE3NeEc?mp3iE}7J%r5A6B5-?n)aZ+sr6jaz`cDu3
zg5iHI>*frV*Q|1%pT?=4ZAYC#ApC7yn`%WD^SZ&1e(1}Bp6qF;NviaTe=OYy%I;uF
zh{)rz0-#X>!~guoF8#eKl+e@Xj`Rw!&_Ut`)3roa)xTyt^0QyVM28ZjtWK6QLv@bc
z6%v%mpzXSG@toB^IDP=|i{AG}ez5PZ>kTXuy>|5BAq&7jAnSczem*R2V^tFke{!uL
zq9D|G-Cg3;)|(@?c*os!@be8MX|R|WmwW6^0gVl}4QksB=$q?b6{Kjt`$Nr#
z(PU9eDi%*S1EY2P`?--0IWh$2GHmy#qsX)#`}qG%>*|zjOsh#g-+1qpI?@!l0S6qK
zld55AAxl}A&?mMQdD4RSIF=TY%A
z1>50jNp$0IL#Q*zSk9}(^qnFjZe81!F;-$!bG5y;^TtDkK`k#3Si{=;DikU8PazGJ47c;yOcW`If>QvI5
zhbLOuC9Grt3Xs}a48w*vqvI5Tu={#WZL(j5iZW(lqc^grGD`_Mg8(4sR^y^ssNab?
zY_FHAGA`zBBPwf(Z%39l8x%z^GKD)(!in(aH;O!CV%ZhMj{$0K8K}An%~{#kc7YpezE@
zC{4fGE*}?~-Q035Pph*kXiUq|Xwz8m{H0e+>F(#oyYD7I%A(@L@0Z#E?^=o*=rGrO
zt~)s%X2{~K$J}7QYKE452JnmiKZ1)wKeocCN+#*~F4Rxlz6;L@xB081k?d2l#2M|O
zel*=4qpY=hKoi0hY2d%NI&MKQS5n5+XWURl;
zFh1N>-1Vep>DA7!K|D7z1xEOj4s1$VY(o5Zz`gP@z-TdXb*
zbn|v9mP>1(nmZyp4+mVrP_t*HqLCG7M9Wu2D!NAMfaVb5F_lRMqQO8$6oDFeM3zHb
zJOUP%O9;ElH98TQWGPk39?RzHRpsChS3~rcRPX(
ziHMdqwsue)6t;-#ILZZE2T}i~WgBU;%*3Bn7GJ>bvdR1`o>#liA)T0QVo1R!jH+d^KN!J#LXtIp>m|I
z59-QAb+YD0kq5cd5hEqHki%_7R~<)pFHT#JkP#ZMYNwPysQX4QIpRq@Z%M_~?gAwl
zjWsmldg7FGjAv=h3?@ViW?Dh>6wi3_{hgIyv)HPx;k2d=8W_WRrgfH{Reh#T>v`sx
z@vyXhF0p!Vnb{rN=iT-HzUxN0oY$iHeiPq4|9&UB#yjohTk`?^Ws1DAPwuPtb>ELK
zJCY>m3o)rRH?l^ZY-)t~0{ax51%r1u+
zi%ZUFmtuO~ZvXJjFKuSB4KZ2cH=+DguaWEG`Zb}n`8le8to*W$|0T?RB`5yR@~&em
zO!qUJPX>)Dx_zJT-$%fO-1n@wQr^1~L#hp#I8<@8s
z{?VJ1^euDmpZ`+3eivR2{kLap@9+;R{+E9rA|w;1)Ag?UUxyrEdW2TNB%3?>pvlZ1
zB@0seJ*?LQCM+D2jLuI#E4#X8@T`q1leKX{K0`xW{f{E_YI==vVN4m>b>G?B{b&Db
zCp!eTzxlZOO+26~g_=+uO?ct!cgM|zUHsuq{>H|L+wFa&@`t06)G`Qvd%qgghFP=X
zMEa)xzFKXUipe~@Iqp%H>|oIPE@LrC^F*SV-0Q!O#UOkM@A)RB)e}{!(PQ@yo&A^>
zKO-c6F^X^^_Bf8#2{lezPv$$1^FF+Z0)mm6cAm@i9klnKiyIpekyp>lU4gjE-JeF@
zzp5qK7HiWK>e|+Krb!PB9NlutEb6{}W)OAwp>?uAr>CCNG4tc2n{xF-uS0#215}fJ
z2cXXyx3zVi`EVdRTAtKg(I?`H@)f-o9v|yG+ERwxS4gdXA@mG(It>ytazCz7x9a~S
zEOa7gvFg>gAwAQM%*p*$*%JR&!*4*ge;OWtF>mm#Cx6eu7mP={7M4AJx#{nCoDShz
z+XhDknysQq>WUAfb2kFllegQi@aCimhaDqscOLkZ`R=pf^_V1@*c&@SwDYL^uBiXG
zyqg#A4!{d!LJz&D4eCQ>&f2(Cw5@fpRY-`Weya92YGK|DlAu&(=5mqu%%+I@P@6tW
zIe@A27F0Rz+^p=_@x1x5U~9r+*UjB-$TWsl_`9S#+o`A5#cAVYap(EaQ|e5=CjHp;
z(_h|SlTp`Z>+e|2i640LVN=}a?|ilhfAf}MfvBTkuJUJftHY~8f~p6_$=U&I}5
z!!@-DfINWsrhNSN^o|Oxo43Ssf*x?P&i*P({Dpb6BUVCjt9D2xEWoWMU1)Z?&*yCS
zv(_&YOYbl9Y;uB(aQ3Y5m3oKO_<8TlYwVZTVTIt$Bm!%`
zDo`jCl`UEOf0;I#n0A7WCs%CK5HE2QZ#G6W8AFvE#4EY=MR)|*gpiJUh)?*_X<`!P
zeKD1WfDTH@YkaJ`+!9gn-=I+A=jD&f_utq_=e_b?ipYQ6ye7TbC8H<-ObyAf4@kkf
zQTfp_ND^8;1+CPLR$WIENV2zDVVAO};Rk25NIk@ESr~Q3gd|6KAS<^Bfad4OK0S75
zf;o5Eavih%0mjN>Jakgt>XV$3hIBkhF)c;$+ylAD;_K~e4~~+>vQw}bq}~&g3TIN3
zRE=QO=&Lu@ls=20x6b=qG00WE)ZJZ2!d*|%^nRxZOTq2>gezZ{Zb~^dSWq%5dMD$e
zscxL2?g5qdsJvf3=KfX7=gN@fXNA+IIxi+a^W*(od=!0R
zn_Oc3u(B|AiALz*v!_PjL|NIC6hGxNM5{%WYAHPj8BM1{x)u)%ThAD7*U&YTG>V@z
zGL|%6NYM~FtxvW8QOq(B2aUspoR#lQxp}2NYfy{&WZ+-xY0>)xW{IaJs#yfut``)ghpHM??h&w8;_M2d-+d
z4RYfY^-%)4b3t`!L3x8`CivE-(;%z7fIelm9mK;xHPCb4>@Q2$Se43rH{1EXbm!Xy
zSp_qgFBy+A*YGF95RWg!(%?`HlBPd?8%86R4;Lk<)y$i>0e}G?43I^QU$CP;bjy_H
z=!bDKk3SvL=qfDw@dK~exj2oPuhTu6si`0ozE
z@16w24nN){p9jLyTolP5Bc2SFLQnw_R`K$ye6-4f^ePRB!n-KZUAK0FIAuWcyfna*
z5s@8!lRf|7#n${iC%#KdH;Bf{F3)<-TDDmm&I73;W@e9!F9^3f@7Ya|U+s|@qxh=-
zK+)!*Qg|n^-uhG!;7Y^#FUXJk%Z^2=Ygx#9{_p|K`>W1)bqnl~J$`TXBpR<`qyVHs
zIof;1eNQ<$z1-&)#Y+Z+bZroEHUr=4DOQ+bwlx5$-xh
zyZU6b2);4`cNvgaKL9m4dY1DY$S!l^^;zTAMJ=wWfF;g
zWIvx0{wpoA@`&HB)Bw7}k;;17u_N1qWSKx}kX1U{D#hknx)1NDS5QW!A_dozjsqaE
zWVn`p=F@n}vC3oG3rDJ#SC1Y4_v-|xKYjSx3CY>o+fOq#pPp2ltx--t4WgyVTQf`JkG&0&
z?W{a<`WKV5QKb_sTYrtRb=rz`X?NEC%2V3ESU%}B&KnsgpR)F1tG^!0+TMTqfOXcJ
zV@G#BWf9VI_J24YWPP|Ph;tB23CF{du^Cy|+BfgPu9M3vK&%aewP&;~DCjAs?9_p!>K9gQzKAUN1RYXZIdfH#O8(a7Tn=fZx
z(D0PKm0lEuP1WybPWN*i;#eda_ia`2MPhz+KWEod%D3PWoXsiKezs;vX(jO_2!9gy
zJ%wOXN~u02>kpd>g1hny8P?@bXDR!FU=h`=Vr}&U8;o@U97rX?pWEakmSbd
z3Y%XQ#q)(;$DqpJlOI*5+f9nm`S3X`f=;V<7$t4_p=2WiH#1nu4LlIdRE}W!BaQd%
zBG2LodZ4rccf(A50sYgjv2wH#G{2pcdCUND+ZHz3)o?cl_5bk=d#sb2M$X_J
z@>F(TX}+JW>eUu@|H}CXl_u!t$>^&WCTgvZWQRRQ(2-2rED2TD$FXCLE~VSTC48i(
zFM2oaxD}fW_ihconh-ADNGs`}-Ti-5-FH`0TeLRto!%%31PDF!4xtx8lhAwUMbJ=`
zq9`ILU`vHign%fZh@q&c=m||x5JMFeH6Tb4JwZ`H(F0bj+>H1A#F6Jv{OJ!T050VDnG3mPRL%&MrWiZ8NvY
z>>n!C^Osv5w0?N6#&)au#4x?ukG0!Lw((}?GWVN8jt&C&*ZShcqz9HudMe8MKLw4w
zh<6DuQrNUov7abIR(dh2x&^!jy>S|Kv(i6G=AoC%v3u+M8Hd}4w(mPUbbiCOaHaeE
zXDNA?NlE|%AD3R;2>dieO8&9_`Tf6-@7&qg0N_3|io_`+2~+*ZYaA1;yCkiL*%204
z@{y?vTz|KIVu40|vkp*Tzf^(q%H}N;=my~%6#M{MVi91z=7IH{PkDJ<28Sdc_Z1R!
zN?lh-9_7eoUeYm>$jPJ#g8X+_c&&wK8Xk5u;=1IoV$44qcZ)cbYNybZ_QnShWALMy8ov0o9G27hVsZC
zR8k%DQwm2mv8>-6??1MTl@Br3
z!Mc{-UHR44t*7XLxAT&xBPsN{(BHy)m+m>>5WtAt^)MVdlHc-Cx0Vphb#_rvDxDlWF59xa#lXY}Pfo|~qfPoHW$eJaKp1wDiR$4#B!vA+
z7dr|NvuAuu0%fdg0W8E_;b|&ibl2St?@}v9d7`f-;zu06G|aExqcLjr`N6}sL=a#I
z`yes}xb$aOdDAM=$5($eaUS^18aOMUpyjq$Rx6jrc_lDPL8^pu((CeYzC@PXmT1tS
zmEQ4{HIFkj4elxtL+HbW=KzN1Cu_N$-h+c-c+--`?QTc7?zuOQ9B!w95CTQ}fWO~+
zeysLT&;7oC@!OK#Tf}eqHicHD*t=WeNjd8{&W9m0Xiq)O?a#vk)sa!8hD3aRMV0S(
z9bg!8=oN`h@_=mkzz?k&)gZ>GZtLpcKbNswGf5fyVuBZCOzcoBOjJAyFy!E&s^A5A
z?(f=D&*f+Uc$E*R)3ob0B%Hx9Aro_x#ZxH7c0zX3Ar`!sXXP^4+Df=BS?e6*k9bex
z&HEsBVJxLm{v9*FyCJY29;)3-!<*vCX!F=}s^15=<^deVJi1nC<3X>WODUQ^^YBZ0`+LtMI&^-f25O+J|d}rr9nTa@PljU
zN`rgu5y_B+)DHmTPHb5gDX%p`@eS#Gp_3;AmcYjG#1|aWTF`fAB^Dh6hV0Zq1wb%t
z2}nv>E8PMllnoo)9s29`04K`t*_j9bLXv0LsgBb(RQ}bqr&%>@AQJ?uuo3HQhzXe-^9KZ}b=kO@FtHL47yV>{(
z4Mbj?9~J-enLekk?4NZE_1S4M+$OV8ZZk<$T_*G{=kQ0~O?#vPIfQ;fzxtn;7OHZ)
zxR#SFcdq-Dnaz}-!1pyyDV3c;fhNE;w{wONswqVj7R~U;0?OM50*nBR(1xpndm@&%
zom=H9@PPe*1Ok(7FZvm)FP&obz=#a*>I6e;kHZ*vdiXt_24bUD?H#o|whp^xR2Ll#
zba^W!+{gB7yg<+H*7{=Y(U_?b#{lDCZG#ta%M(+F1ch^+`MkmM2~!dW`90QM=do@W9CIlP}qTu8ni?hrX6T1n9xQVKJ++^VYkfViv2;2QV6
zmLxwKAjRrF@!(lCetXL$Gz9+e|8~>UP?L
zDA49je++itA5hH|L5!LYNlloZXSew9BeopjIgvZ@%PP0w)Q|UC_o&Y+OyEjH2~d&f
zgX+5QC`9EpF;)n^GGBI3vE)5SW(KILsrzgssoUkN;0zlmruM-YztVLxNG+fUd4kZr|fQ16|i3GVVshcN_
zDyyHQ@BeMk_NsXN+;psEH!6t)13O9g!EhggG_66$8|0V_C0HfWH#$Hjb
z(Yk`!`hM6NYNX&#(L;;9?TQ@;kIXTf|(#(oZHvtin=6@L1_^J^;NB1`dxFR=q6_7>|zT8(S4%D7$TK_GO_7QA^!rgirfc
zcuHN^n3^WpkJ4`aX#5l{@W#ZU?>t2z86yR@kSW+&AxCAhoC@N9=3pv4F;n`cfS7xS
zd>DCC0TNRY48kCcV&up32r&wvG%PTSMm3ZmLde=N3QYhX8G?DT19#_Cr8-FOGZg3&
z@I@P$xQil$H2$4QhMw0wp*+q+gkV57?GV=K$Z_<30qLD_6|Q2ZwAt9f7Zdq|39Rlj
zuEnaE7OEs5@j2UfFJq~>Qg94*
zSb(UN2HOgd(P`M>oHzi0vo65qjFHHFj(H}y_*K}=@9-oNf=x%UGf`Hv*eYFj1nxw|
zEVdT`rxQ6B(oV9U!ST#?JM1auYYAjQ0j*B7ZW9R-?E!284TvxeT
zIz02M8iud&jTAv6gggG^Vs4NT`4V_^ZN5c+;*pJeha_BrQjCmyIyRdGS0_PIgiZPP
z6Qd=k6GBZr=gLI_1p0JgU?wz0(rBi`jm(VBCLwzy8B0qTHr9P2^Fk|Nc;Gb3iUF;?
zuMoNpi{L}UNXS4nd*mhA6Zz<5EI4!mhBrFRI2n|Y34d>7&+&8^qVxYOp)3TDX@%wt
z#YUyJYQiA&1S-;00Lp!NE{>i16<+i_3fqK5stY0aD$O$z%LySzqE;aW5|5xxkd^ox
zOy>%`;qv`lRQXpah6+*_fdYtExvypV7#QiUuJ6(%8A?h#0Ie|c4DEykkzhVWWw#}m
zo>kOQ8hna|ttFeK@T0_P@RSX58*BmPeDWM_9Mwt=3CFp0!&`xYM
ztnIArmBTQK69!}u!Z&U~2_i-CP$Z1?p40l-GdSB+Ct~;3B{XLh(;|T7tkyF@;6KL`*kMA&6MV(2Y!O129(KcIr9s3njEapGH23w<~J=!pj<&JV5*2{Fh*
zRM@Vpkjx_~naAJ@h|S-e(V)(e9atYCB2WZz6ZQraK%EWHzjna+lv>z6SPB3O1>jxH
zLBTQDYa7!r^a*T`Q*vG`cB#=R-6U*`f1&_@g{$IDGY}#=s+NH|#X$YU0N<|MIh_gN
zij#KTs|!OOdWWxzor7*u4`t6V|)B4q<
z*Z_AUA-jYKH$I|K%>6NZ6TWY2grp~()}JP@(UXAAzs1xN5%}4&jXS*X(}^yn9XQI_
zOSeEtt4xjrnoB&Y){1={iiP;XG;2I~>(d3+J(yQ1D3v
z5JbP2$wlN5F;iHy=#UMaZ!DXL$l{-S;mj?r6+Rk-Ux<0w*IOW-D=RXH8>H+2ET#|WJfxdcOn?_;pGGj}x}%IG{u
zBb!*z5)8JQgfzp?z)9F6%$e&*wI8(hm+QuY3uu&pGR8Pj>u_P}1zkEJ56h#mX~Kh@JI9}l9ZDArBAJ#7bwXMWJV4~{bmSq}$1F?&wG#Lw
zir|l8rquVDy~O|{yC&zZpP`H48CZC_;2x#{o<`i}^a1Yt!6A^ynAXUXW(jDN_G#-R
z$Ld{YD4$sR1dF$Zcrd~}Gq6$*_|5^duncVQ1IPjK(WkA`$)xHqAxt|EVL?Wa-;e5B
z!xvn6c7I|%-g}&6Go5q$v1~}vegX2(>TG62!c!k)HgOo%j~M@AY#Nt5}&al0ZGUBWBq1`3$e*$Oh^Z2KLc!{Jm}ne
zM*MT^EN;e82uda+vIPY^(e|R{o+dC*B}P|~QFBMIeVOPNF5tc7+6y-o_M?DgGBR8S
zdCsPmeZ=4G{-H;^>+Xy|m4T?`3&^S`@IMw0>4N0P^XPI1XHSPt#X
zF~x0Hp3Ox~s$Pqm{&)(WA$=0Z=Y*btpBrEC6Kmzh0
zztlNdW7>c?bQ=`7iU=ctmo_FQHvN5k=K_2)0M=dsnbL{^GoK@@r7OpQL{X#q!$ym5
zsrCHl$s|~=5SA+e!N|}Q;sL9*UKa)+&mS`=$R0LFWM$SS-?)BYE;gHwxZJ%w**b(~
zh7ZUA>9-2^@DbGvR4x&WAOi+iL?>@fy#d7)-thJ`bT^#hSisWBXLD#pJNbyGGqL;A
zj$b)*dFOM@|$ZPRN?zNCe7bQW5fDr
zm}{9RnOa!g#f&o#FWnbstb%W>
z@+XG)0oWON>(6z4c283=`-pI3?NGI=I5D!juPCkca;WQD(0;&aa_HO*#xN!Cb;G@d
zf3CEp>0?BIOoj-ac39yC)u{l0`-`G=J&D-BT?fc&0U`*8(Q3M@jj>uQUv632_eG)i
ztC7ysU2fW?8_*`RYacVRn72WNU->-}nHwayanQ`Wqo07wi#8{{@`8_arYcmNJr7_J
z@9#pi$otMc-rumhJ=}H5;qg~|HQalcIsA1*VKHaYvev>i!W)3o6oxruRG<(vS^cHz
zIy`a19+?vscW
z)|2#*LPa_$y(+bf83uGf!v(s3WTDnJeQ4+=Paj=ZIL5#oB7`pbR2pb{F+Yj1#m*d8
z6EGPSqM;?tVz#agdmB{mcI5B>_YF5s)uABdKo!GuyW>?e!+v#INvFTiSwr&Lz=YQ3
z&k>W0wN`R5&Ujk`MZl9c18#v3F^}34KfD+|6ZPM=-gKb3p(VUgr^5G%9mr#(XwW3=
zB|vg`*w7K%rSXYBs=_#@9*cC&zQV)mI7cEMP1VJIO@DgjPZ^AC-Qg3{w(&&2*E6+k
z&?0AZL%Om}D^cs{puR!ub^o24asfUCYU{#y?6{}uw(j|_2R=T({Z=2j6ln)EWe>@j
ztoh^h0U;p%Vz=1xTz*T=%8pqjMGK&jLwSiI9o0qZnn)yrW;RQLpo;6pX=eKJ;XDYs
zu5Xa!F8lRV9yV&{qa(a0)7g
zxfLVI^w>0m6S6`dh|J>9=~rVRK+BHDk;V;+4a(bQ=n%jmlekf4@lVYsKX2_nADwuQ
zQky0mv|KQ*g->~nVYWL*A@Y$nvI>m!3
zEt+Q(0F!13E;Ok;=OIraoPMA{^?oJ8_*!(pFX}{SW{!b=Y|y1Vtn(bn@mek{@3ib;ka%FYStUh-k=?WU
zzSOZX`VmB)`2B%0V7cRm0~sJJBK1#;lo?vFtGK@H8b60ojxRP>m0aBZXnA6q=k!F0
zx+H)`J-CnI6b5O!)RkN;-N(D~S1qM)P5r~}0SMrCtpCe7XXdM}XD%lHeOAe5+=ji^
z+In`H>PT{zu?J50=qmbxhb<~B*A#%*Z*LA&Q+R&{ip@HE#ZS-+2&n}CDD_ZOjHg}U
zTK=+h`ry7H@j2zmw>rwZ2URClO##ushE72KvuDWH23X)(`9qvMaC$5uKeSi9!R
z@$0;2M^55%B$PmoIfLWBCh(ref0_-_~d)M(|Az8sJ<5G$Rsq6OQWYYw&>~|tdPgIr5Led_7QVzH
z)L`Kzoc`1(WTX%4bXT8zuN5}OW3!0^~s}}$UQK27U4NU4}MXM?dE%AM9bmSCt
z=)HibqHdmQm?k3~`T>fif`F<84Wuw5=Dw2QZQs#=DSy{Er8l=|sG^|nH+<`CS_J|~
zK=~SytdUeYRo`^45v~t4VRoVXz?y?`wEq0Tb)dh>9sbNoXY&?9Yk_
zvs2r(k$gMJn_u_!;Niw$BKd74CG~**)P8B11Y1J)88ka+;Y$d8i4ATEX$n|3niWdM
z`6KAFE)(}ofsJEc?766%s#LTSwIFaaPra55knd12g@HA`>LYweh_qdJi$=fKdq1`v
zNGNW~2BB#!1Bo5N^Tw(7+FCVynU>AZUR;kd-w$CZbt@=*igVDfCO|8mju6FP>9P0l
z_qMqw!flBSCZowFsuk`POxfN3;E7PCIL~+f*7U%pnAh%3OZ-66PW?MwrB>++sCQKa
zV82CCpXhWYZ=`bPgOIEpcR!beANdIxO3y
z@^${RzcuYxU&Q^=%rW}vOa)H`AshPLZVowJkOk2dcsBDi_rerpaX*8!j0!sF*7
zy@%oggDSqiu9NMU07sk_vDLfjh~HUAyp5iC1`8UCadKBC9{$XIT#)!e=9Y*4NxXf)
z6<2`N@o1D$lnOZNZx#MLanzR+nSnD|t{eQWBmp}m&NlU?pj*H|@3Dj$pSl-OA
za((iA)H~tQWO9?D>8Y9fa@JRT-rZWiY^HTnZ8#+O5!SXyV?*bHnvR6FE3%fnTL2B*
zm#`eTeX%bpnf=~<-Tl@_{=Yw2L%M6+m>cF>E<+>=d8;CIIQ-wUyO+5qI`q|P^ewpQ
zM65dDZC2>*-{1O1{#$ZJhx%oiG^LrFM_jW3c<@AI$@P7jB|*vj%7h&dai<;K{vWN|komm$jouRUQl{viK6b4E0y*k>Y-+XQnVw05Y8D!R)hPs~oW
zl~4w33dKDf%8~H|$kAD%CjW+P4NKOzT5Fg4nFlf!OHyiw^ZrVEP^_t&tJyLH
zAoDGgkZ{m@)DzmpicD}2!PJmcVV=uctlVTTW>RZi+)_cNxhH>=ctp6DrN)$w2+D-3
z&_MmR<2X^_I`i!PE0d$Ok1y58kAv^80nnOT;caYLAISY>Ry68Tyj{D9hFrWQFu~rX
z04=+3*}D-qWFjXX3ElaUy4M7SkU<*_!VI&KaSI?5fQj}~av`#vovs_VIDh#x;%Zi6
zf<@86jFB4fCXr1rVZ=nDf|vS^nyF}e07@#79@P|SxL+t7tu&@to}fX4S7Gw`Jd4%a
z)MXpTRF+{brFoQKJ_TmMltz36`om+xx6R9v5sbQU*hjbG}fcN?)jswk&rud
zlk?H7cB%N2hmmS835BV!^FQ0&mqGh#SO`sU9cjDF`
zVDsDic#pBL7&>ethNmKZWbAi_IEYxMk>y!>R3slH&H6
z(LQrx8rgO+6=Jq3t%l#SUh3eB*jqvk9>+!)*KBCK($lB&otMbP?DSJ%-yaktWwr5#c;P>5GCU(
zh?92kuA6qFL>o<18V_Qb%A_jFQ3=c%#T#42tyJ>0JNdl#uhiX^RE*Ojeh$`I(v{_n
zLGpZ-9hr6a0m@&u!@3((wYw?#WT&hbH3s3dWw
z*3kA>ODm9=&1A3zy{Cc}1rV*(vZj3kia7?w-RrP>0`@^2)OG^b84KNr5p);Q?)93W
z{@pa=5I&Rtp=dJ{h+;$+0+xxR(5-Z7t%th>1oI=g){`ET#dniLv~Hcl&3&c2
zkdZU2t*hdoN!7Cw+_S96(^q5aEYSX+Ih9Inp9C=aI@G@f;?@l_gu>i*bMbAk>nB+I
ztph$k2sqEhtL?5!ON9qZdFm%lQ6i4A5dAoRHga9_c+RC~Ej%#Os`g%WV~AYG`O2v?
z$ZK0Q(vWhUw_tGq+)IzMoyvfuGT&qHar@v_I_36az4=&!S;<9XiP0JS{KuA?(G{{q
zGs2`b|FaLB>=WRD#*oy?Daa~dB#zGhY+kWmC!1ey>BHWzngMBwnd++yd-rGK&#|@l
zyn1JXdsp29W}#Xn0(2FS=EAaSz|Jxk)F!t1&oH=&_hZcQyF(@~n)oh0=Re8eIY*b&
z3%n~*Uo@<;KcNb?^zusRryY2Z)!VQe{K1Z8L18!71b9BZ0xm1Dso2l{o2mBYIo5g|
z^k9Mcmk19sM{%A6Hv8PajU6)6H}#|3F3LR_89nNn2{)Xd=FAWuq%on_+<@p>_yNg(
zxk`qs06f~3%A2i=W}Eo91V}%d82l_DqK8PdMai8GF|@qgJBys#x(thDz#a(wO7a-!
z%eSxma^9cEZa9FQ;RjEx3hhP!V!%}9EPrDhsM$){zv
zp6@d~id49MA5!nK@0Uyk#88XD(*65#lCOGahDh>f+xtMcL*bn^iuU~jA56=)i5Is;
zmqg{scx;=Q(($~vshA{AdOnHjyE&pfYIVK;9}4lTb5Qcf==0Ck<4FLC)usK56&$l9
zbgZ$qABF}Hp>C6GE70pke)(-1j%@uY|9i9(qdI`}*gX}La~u{pTC36dIJ9=hf87=0
z`_C&f<+iS}s}dBjpE%oE5@Y0wk_}O$n^6^j!><#_9hJ$y=1?)+<*vpYSHgH9NxE-D
zk$&y`kB^ksX`>L?=bixsJj^w-Y{Q?J;J5m!eyPX*DM~*VvZV!L`@?T)R0x
zFaPu4GB>j2r7IRj4=w#Bsk2|@e@3Ff?G;7X=WNU3VlhZ*on_>6K~|KIGRFuuh5s5l
zY5D>(J_Fg@{czKpBLA3{L-BrPxA|kkFJEzLIS!$VlH^j8i$dQ9?ckL|5hlw^sD!oFAB5Ao>c
zYVlZ(zbcQ0K)Mzc`99B=l}kvu5M3;2#W3wug&hbE)e@)<3AN>q*eCxfmF6G&kFUyP
zz0EzUR>*&7llNBkA|)&c^7v&T)*K%f(*yHg=Z_s
zI#HA4B%~H4>}}znnqfSVUz4|Iv?&K&rdRIE!J%ei0}MwivnxI$#&%SU5(|aN0Ew#=
z&34Q!HIFrR>W0!qT}wm-J2fvdA<_Efs`s5Lxf1RcI|sQexLYp!^HdS2VV75&slrIi
zjDk-S#k?4>2o{$iLc3`jsLH;#zpkikx9H^vx7-*>auu`vN6+YjfX`mgz~ry~eN|&M
zr??a2xn*FU2KqQ~)lJM!oxM$=?x;JDG^Dc{^p%_XJI;=L)6_27N=KYcfNx*rZaiLF
z?RmL64uVoMVHc0KQw*VwqhwR>Vz)V$n)f~2)Bj#MMIdN_8*-W64v?U3XiG8Mk
zhwaQ~Cv|K&MFnqmVU=CZvtHd=Au3uA%;j$HKX?gM%KSa6F}b5<#9RvoB%%a=eE=IYL((ZRGzowi$sf@XDIIf29u
zoPlm$qB~(BZ<`Ov^8v)F-tvn>ZL3@Z*&=5L*UPs5UAQ0zJIr(8u{SQw-TphOSoV$I
zez&bK7m|cQ`}y?FK{&xcP=$zH$1LRooWmyot)+Z(>z_}JP&4Hk4}TAxTwu@k<$Dq<
z-9+8LRuvvLJaMfBlT;6FKZuMNJERUnFCI)7hA@I}b8qV;6hV=}oG*4DIw_JA16QdB
z@nNFcf_SY1F{x|1Bc*DNSu0CxdZSY9uyU+>r`{Pm;6=cAM~Zx-8?X&5lE!{k%R1f%
zM%f{c>kQMRF<%f#b$_6Nt?p@)6XFMM^`xg@+5?rVle09@lCK5iFY@x9kYpHE@usmKKm2mcEFTB#Vv(bX
zXWD?t7Tk&7fv1fRkIJ}2bSWPwi2&8j?GTEM0JL?Mw1xBTz~U}SBAh%T`Bkfe+WQ#F
zSQ;j!48;9VC_u@p_ll|V1#6-~#R$R|&rDgDb;;Hq83e-?3lbG7C$_W|WWWtl7Sz|f
zbUZQn$thC@o>?TLfJj~@+dCs5fu@*SgrM?O_`)-Tx5ieWFRhB;
zGPw*GC&bU$z}wUUk5KlghXU%_YLjBsjWLi20_Ln|HPQ(`Y|sj!Ejq)gp7BFyAfqmF
zL3VF)a?)-UPzP3*Cuu?I7I!+{_e|r|j^}T8QiE^H^|dx3^n7@;v?o0M)+P2ZNLWy<
zwQ#adIUu0oo^fA`R8osL-u}RtLB=BXXRJ#4m2D$0R9Nk=dAmSOYi@h*BfJME^OM^8
zM^vS59^NC3(MBUowc|!qQW&^+kGlL{SNG-|j;U08bbW0^?eG|gXY`?rMIgp{7AR6zfmH{LhRMW!`d8tHd>{|2M<^0aLTl0|2
zwCWHGe@QKcXMMNNqH}cszi}=)@qxy`bsS<(?5G1zOMOV%#|**GC+K-?R_DB;
z_9c20{^PEm4DI^0JWazV9&dnEXz#k+71vM@ZnI6btl=)+JlOi~gX=^6BkEDo)JYw9
zm(5*xmSuRUF=ab`jGCAEZCjY~?dn#FEB$!I5mzz@!28$XV2g)6FQKZ*-Jl+0wM)%6JUaog$6Ft#!s(+mm@U0k
zI8Xf*)wI?MFO|Jj2(rq7Z+-P4x@M`zl@G
z2E}RyfbAW6c5GwsMt&q_SvAICH;!)EC}e!F(2H1o+`VF}RBoK^{1e0=tP{^{qwUpc
zlE_3|;NFqV5?Um-Ar*HDU~if!at@d3Jq3#hr!O+Vgz<<~XB*ZuI@w&qU
z`d$1%BdiO#6aYwrs}5rTk)6e8KQVqZ7SUwvS+bjn<$)OnBUrfE)rO+}22U%?P#rcF
z2RMB$8HIuv%OJYxo;ajVzTL3%#5j?cIXI4o0~FW0B{v8~hP=j$mCe448lRV*#%*Lz
zb75Ioc5^_cM-f_W(GG)pMXhJzl+~^h+Q_Wqk4U4X^iR573~sSZD25g;REg*xR|jE5
z8{QM`W%(Yb)%>e*)|2HSQGlp(l6J{|1+0AD&gTQTY3z9J2(czvpDszkQ9C8o@OxBc
zr^p8xiH~>ync}68PP{6M6nrX)m}=@
zqYffHQI|t+NZ#lLI;Y~S5|LZQX>uM5fs*7(HFoC-y?RoCp|Wnxwq9FOQz}LAbmkSO
zRVG&3o@Y^$;H5cBRqkJX5!fdXlxFLo)#6N|XIVX^9yWSaw3?;O26hg18#(g(6ji%i
z2V^c?JJBK(${k3zF8&T}y6Dq})Vg!GFgc4O7tUi1E0~FeHmCFw*9E3q6v&*2RmE4!
zQ14GfbolS7RNXXgnI)x2!<3qR#^<=%0J9{=a#3NwSXwL>DcO!01?JFM3Vp<9zRu_~
z$NyaQ8VhwAKR=<%qhAfc@AObU(hRf6Uf3QJ!u$Lhr06z~OmLHmeM=2JRuva0wB@mq
z)&#eAOh|@>!r7&kg(5}UZF?AI+Y11Z-(|3f6Me9@#uA#AgoJ)A<=d~SeNgmD08h4t
z-{gwHX<1IbyOY7j?7D$QF7!Zk9k(n5xjk~2=JT^csIHaZWB
zfj-zY1yzleaFnaA%EpVpr#e=A;>JK$f?K1podPcGBiK&uCJAUpGZII4qS@kNO@Jw+
z>;|C%H91?Ci3@io9FwHMK@PGLqh(9ihyar1-b}AB{XJ1h``F(n-oIp}A3I)NN-dHi
z((wo0*fKAnzk1|j4ZsjwwP;o=HQ~8^tB%8-M;ie)Z9faD`d%wrtv7T6SolAuaw)X?
z_KHJ9?l!eEWf7`!#9Z=!Kc$g6pKspxY<0hFcbksM7P#9S+gHTh&XTK^SQ@<{4{4lW
zomKv^=C$)f7&VuHd|*<`9r3I6N$7o{`Nh+&vEd$6y0zL~eCAOnU8#gx}@Q!?~y7QoyS^ZHpNktF8Lk@b>x$@sz
zv9S7UyN4|-*Dy)pgM^dgU-!No8I6rjgakeEA!Oe9@vqC3xGc$#RdfY{-ZFaijV;pb
z4PCoTJgm#w*AoF?M^d`Mg!UGQ#y}=VQn+wM!=&WLCa}!b-7Lkr)R9$nb;Q1qR1(I7
z@CdLj{4}$mxUWg8Va8j7z%{3XEdzMZBF_EUajxUMk8~?$(FrD!C>=!5&EuS!BZY?R
z6x#SH?M#Uw$D5QH`#a+VQW6rj0;0!JZ9r^;US)-V7dwCgzW|V>Ij8za%sW+%+|h#E
z5ExLiRbBrstN`j5H-z{YuCcN)No|HJo)YNgX`~RQ#{rQslx@L#gt6p=nsYd5{rKFw
z)K-=!k4+J>zj{V`3FItX-M#HW3MEyl}OG6UtBq
zT-^y7AV7o35ceB1MocPBUrW;@_)uCe>AqPlXiAPh&#&;BObkn9Q{z}>bZTz%Ns231
z7kK5#-)Jyt@cDLj0$e8hCJl<06z&N3P=WTtUCEf#;fu@tgn6>(VJ5y=+bOneEgLfh
zZBPR<1iOc{Eu=d)u$iQhvYUAjJ7W5Uct6JT3LV-g3Z8Tx6|9s|jQbTxcjdZ8$WjI(
z7dSCPR*qvDdNn_-d!SB2%+!ILE>+gt<6
zjAa25s3WbAE}|M{Piy3|tmv$6U@)8nPb{s~D^Q6V@lagUk6I=8RKvn28UkCN^mz6tvi)31ko0k=P%T??z05FR#$On(r9|
zzzhPA@nX*%Y8>5eisEiyPk@Tei{m+6-~+c{Wjt00fm7ALh<#c_F+Q^^>$noTUMew5P5xmYgf
zZxQwPJ)f5n-^)BlTu4*`b5C5x(>>dCaF@$J4xpBcPICML=!@Y3t*CX6B;bnr3owbt
zx)VKA%6r^+edRPQeO}Zr50I6TH~KHQv<`l}+PGt2)AFO~zlQCHN7Z|o(W4Z3L9A;m
z2WnrTA9>L;bwJj*_F!ed@|SB`0x4Mvp5RJ1oUf>^PzQs5meihkM+|%a33+Dj^Ew)o
zoW{9LfN~Ot8hOJSos=hEefW&Z=))%iNiROho!h20ZnArkXjc(j=79kge`s(inRDN=
zDN3||rV^z?Y?zwKX#xQLbJoh~FXJC+UQ?!eUzLaa@5;4e13>yBHYx9r5HM@W(drbv
zjseB1c~qxsfzD_U7@$Q!WMv;R%!0mXf9aVDR*LRFPnUwWLDMIj_7squ{Ko!*!+clC
ze)IrO+C|UsdP-{aF3SxM72fb6asMG&+04t;!oGPH*F(w9!(n-(@AzH0y&iadoYuXq
zR#QwFsr*0`YEbUVl79~)E0cC+#3=wXuBLZuy^$)%SL*4I2`ogCuWjt)2tt#n#Td!!Fp?KB~ihyRAb?hr?c5$AcY?$84PnJDkdGovS;X&)K?M
z>~Q(VcGHcHO?PZv?{0LsKDKq6?r{6pcJteg&HveM`QEW*!I${84|D7a
z+hQN?-4z~e9}(3RvE4p0r7Lo;ebm9OsAKlgg)y=pM=M
zv-NhnJG8PXxoDcv28*cQZ_jtvO}!p;CBzsYn`B>V^mvQpo7CPcA_W7JKP_jEfC
z1Q!l$l0clXcY{^#COZ!3RSoE`f8Bm%oNEqF#7M74rGIZjyWT)IlhM&b`_-Y@Pda74
zkVn_#i79)$mWA^fC2RZfB=TSHUn%d
z0-1}vu?&Wa2!wY6G{}CCb*i~^(E}h721Nv@2^pNQbt`4^-oBtroJVm?%Q?n{9Rz*Hwg0FmZAMSBq_hmf@iLz>79=ko6q
zZPEY|OZGQo$eXj2%o%0=tny7@2Pdj_U9KsKsvZ5~ex3D&Vh9Hpbp+`0j)u
zxm5m}*Yq!_>8+@xoUGfzg5nu|`vG8Vz<1WcYr?w;v_n9cO6OsAU-$25|K`-6T`L}V(wAe^JV`z5z6%-x|D(G7NM%7
zgdb@11Vbj*5ng)m;B;s9MTYcfUWO0AMTa38e;$AD%zi*d(Sh-(+cGVpiT7W!A2XiH
zyNx~&O&8t{+UR{6{Ac!}Td@BPObdX_{PT=`Wc~^;JAGvO*pZz7IC>6`kz`R%X2pV++%j$1x$J@!T0?ZdOq`Evkr=GXHpe*%LYXQ~;K
z-~Z(39nJpLH|hBIOV6F`D_a(h-41?m`;YC$_a}DbW}k&dC`!gj&K{5?z=8kg8#+}a
zdj4PE(7Cb^T?mzJ^fh)bK&$8{j8r+F*co`nG2?W2L!+esq~Siel1o);NRtyx!JJ9i
z0Xem)-0P&v$@HmOa>^HvrR)tO+Li771xo5ui=z6#tz{8Cr!t=LO#lH@-09)3vhDes
zsUF9bpbq#A%euA7y$OSbMRH?k*0Ns@PsjVz?+~K6r}V~!v%R(ZQ+QxdGtJr^p44fv
zmLGXL)@q4aeZ=J}xh5y$S-RP#`LwyV2hZ*>!<3Nu1?U&(5JXg8T+1$%;qvL6+S7SC
z?=>ie%9?77wHemJHkB<}o8r2MtLwi7)*ty*WQiQCuGpOLT$R0j;=r9_dEe%DdZyB^
zD7cQ6-GR(LqfpetQ(Hl{YG4r@YN8R01)vM;au4D{QzPctW+T+z)9q2;L%b
zpCQhy?h+1A%S*2CBuZJ23PPU#-U?Nf=MepM%j}}Ga5qDsFb8aDx{)RDt+Dad)@b=`yaTjC)e^h&*M1Whc>VS
zI{tqV3~&WfCm+FJF8==^7?{$Le)D5p{|~|NvXH}-)pFz`7?SGqF2Rn3dTDt^IF!gC
zpDRS2ct2H!`yYa#R~aI2pfc52=t&uFva5H>*nX-#nPGM#p4-|JbEwq2Ia|@Wf1O?L
zDE}cy_(!X7PeNm6X=|7Ei;E_g-@pnibPsj-M-J}D-RxYvuP{BtjNxVE3_`0@xu;#l
zmudnWj3XvDk2wvccL-l}oPGD^VT&@F$9{p|{us9@i-Y$C
zY^42{|LvR$pd*aXhlzNKU(;
zC?_HyLJ*$Jjw^!Qgh{X-q-uzPpyM5Fy04^&2ltIM*K2;cm&B-K{%kK)TUId-4@zD(?Wy}mLw
zLuV4jKQFnINMy-%6||i?u&;|Jx`sY_R#5;1AWSG!TRc&8($vu!sAWtGoD-t5ee#0W
zpQDX){IbOy|Ain9w6F<0F+A%O=}=ThCN6Sz_tdETjW>5ys*F?9(0RQ=+>VM9{A!g!
z;YK@zU_SgATyOzca5LyXIlOsaN8pd<34Sr=1zeCq+`v1@MhH$wur!pj?`O#qJK;|N
z<;KwdO0AX3xF_v$s+Kk6P4NPV&i+sGg$ctKWvC2^126pwTE|640-}p*etitD&og`>
zD90~7xBF(0Kea=O1c0my3b70c!ONk4c-Id>7Ic38m&f{4wh*Wo!+HT|R2jOS?|$`1
zt^1nEN*!{wQxLeG*z)hkiqIiHR_%6JbL030@A7XHa@n53o4FD&;xXA80%{26!SsZ2
z9_-Um9@ep17y4RyEa7yHAv;yg{PdaL0U)=OW>3&nk6zt27gL~
zhJBZn72i90&{tpk0yJ^@DQRm&&OR#u>~&F=XQ8=wouaXFRK+f=1S=VWjMzu^kVYr>
zG>3O8pVu4PYchrhC>!4A*9#wQ{Zf)&Y&)wfL_oG69?-msluxU{6^2wFuue93?Z_9^
zrfxII!cazw0$k@@6v9I#sdUo#X#7QKX&t>~K`{mi!#`aG`h?|Q(aV{GHjw^tRtiMB
zs`rRFj;$LNU2X^{(&Ilj{>mbbPq#>`6DZ^nbeOSiU5!b%BF#9V8WB@J|8wH;?8rn4?jhnY5x>D0Gf3zaLfix^+AQB2Cp&-QBVH-2wV
z4M!TMCtj@OuAU`N6rP=v0-kM0Bj`1BC3IK|MjCGOja`sS@52(m6*OiNeDK$kls&Jk
zhUgb@yw)blJ*>lW*ip5+ecTS9JX5))Q(0vLhdIkHbP#_cLf;QTSilL{lkCiUqw1a0
zUb>F`EmPRtI?vooI+1bJFAEHpo+~p;q9q)?HC^1jRh-Dfjr+9%v$#4}Wj2pRfOvob
z$+Zs#Vk&+MKscecFt3t3T))2v`Z%>|_mQZfqkY>i)8)rN$K;~2$T7DJG${6AUNpY|
z=ItKG)*-7L?Zguqjq({Ss9MqK}BF#sYr=n|Cnh@qIirbQ`mG4Q6SL`qLJy!
zW7j(Uu|X#PI2IKdu*AH2y=y&AFi+=+h0MyvhFb!QaPTd>RQUo(r{!7sMut(7AK3W&-v0SXtNAU6dB|!%r)Sq7jW0F6)ATHZnvu*!L6Yu}G#z%@b
z`59|=D*Q#*-dr9DfHTC)Ivq&O#<#jt3DSo*z<^~f%#C08&7#6o)qHQY7}{C-EDjXE!Pq;0sgP-Ki>I8)QCC`JoG5a$(MF$X&a0NrP;Ea%I^%qH1XN29NCbdNtf2CqGyfVjhs_ZYo#62m
z<0&mxImR1+%AzDP)G{|@n?;urlA7ql+;U_}0KkC$06
z^f%*FIU$c`u))SeB_Skkm#L#TAgRiy73@jeyF&HhTfFR0_kI-J=jO6c6zBI9v^>cQ
zbI-p(OLcKPhj!H1=P23uE+0T-fj7fNLrhtMsLx)dGIb_uprRMGWqYUd5sruf)NQYpHtzNTQ6VQ)NuKUbX--c)vjP|!j4Bf
zbJ$D(7rN|&3SX_*C^UUIEUCD4*>3ur_mnB_SIsVNOMdlTYbwL5P
za5n%X;PU-&uwQ-9JiGAq%Q{a5;)hRO`el1eq3f!ud+L7<&_7%OF97C%gZW~MzL-}(
zIb9;`UP1s>kF|#BC!>cmY`wb5K_zMy$4_g_9s9B
zYG9!?u)sYR#;uNo^twz!YrFk5nX@%IUB&ldQTJLU-}*;=4XZqts;KQ3mZ^h)V!$4_
z!tmWil{Bqm?@OI;WH#$8dKHDMJuhj#`!ZhLI-Xu(dsqh*fvu5r7xX;c0`3Aq7l8ep
z&?NXCqkb&;&q>nKRh8NrYp#pEjyH9(o2{)xIi_QyC`}`{-rpZx%`;z}OKz^!B`J{)-Qv#a$Oy0W%
z$n^Nm^q)2LPN=-PI+HbCTAdn*IIj&G)D)>M5W0;Mkyxw-D;L_c2h_}quK8A`$luCy
zy2U_QYX8x->+ToP@s`f$)Gcf%)b2QQEsGG4+pT%_k_h0A?F+;rns+e>L*8BSF2})R
zq}={i!-$*W>K)SVPNR(-dW#K@u3atZyQ|<1vlMaJKI?W@`)rmBl$;KSDXeVj5IiQJuv*e;Yj}sBm=(>X_DCw+Z+^KtW5TY
zsdXpaqzDUZ!KFY{KGTzlr~xl(zb{M8hNYy5z^Iq-lGmI9)`q5}gL1i7R6vF<>nAay
zRT8#?+d`gn)IG#s=ghD)fFggJf^gXos-)!U-f=*DgvMiql}}bkD2rsUM|6+X4~nD!
zh`w-_P&8fNeu)yxn^Dcf=R3!Q4J5Yj+>wHWsc-_CN#;cpu9ci8%hi
z9*NlL`WT4t?MxW*d%#-17xdRQb%$#kc};UpvgXsZWtkS8JBZ~!BlR1CmoX{KRl$T#
zZve;@7NsT&!JIe1r5~WFSeOtk2R*(-m3dJ`3{FuKPb<-mS);r+fnGkz|4T(m;
zA{GQW7_nBVwhZ`fPW3-
zI9V`#L#Q2h3Ca;7QoE(64}hmdzWc&*s)p?pjHPU(n_RA4d8ITHR{g$hLQUh5J&>EG
ziukuv-S1v``Yg;Pq}%6ze30BhO~Hcz5L)}0QKX?vUo>2#b3s_rFDgaP#W@&x
zUToH>ttYe)dR~rk_A@f&VIwqgXx;)*8GADrceeHn^uOrKl0l-o(NJ?h;Iq>>K$$D&
zfs;iZCQREXH#DAcIy@Oz`a-m#Xg6m#Gx-%R5#~)z7T&ys+qnd#9np*v1tTHWoz)ao
z;mnN`36Mzr%w3Crh$WlAMa_Ha?~b^|rCS9y;9kXtd5_$4VkjO5r>4ip@M~bZ}zEqy6z1k3siIp8Brh(
zSiv$fyl6iMRtS^7o%%#>+KS=wp0F$*tKU9+T7kKYoSRbw-5ipBx5*KuQ=DTrga81n
zLlvZw;n^a9Kf8*XI+TKi+Ug*;t)-vtIZnQM%*d&8ALk1K9&l5g_{|Gie?Gk}i0
zK4-yyWuCpe`+LCwk@agA3OggVS3|BiK666j2Q*h|Ru~2o5ljaFco`2Gix8~C2%G<6
z*BaT$9Df!&?c+DB
zszd<&HNN`%^kn>Sc*rCBJhTg&4;%>qItAkkzTREAFNqh0gb1Bj5KL!7ood*3wKIfm
z5L_`}g!JgdU%#Ti9|8l)X4V`dzI~xI@>7&wA1h7l-E7{h`1*HhJQ(-kw-e%vARtH*
zJ%!r{P1s=X_O=iy^59y*Otye8<)+8RMB={d=1!Y~6{O5|j;x`ooMOMGQu>Fftgl;8
zkVo}?u?Y)ofckMnv=VX}*Z^>%3^Kf;b3h^i*j+IZ-}DP2(faCz)4I+TA(|hIh6c2^yph9
zg|yDL!}t1hqK^A~`cJYUy(HHT
zSw_;{<^;pICjzTSGi<8g?!6m(lMfs#`VXi*fH-&jj~@mmat|@oDLi{sFaZ$s5d(s;
z-!gYWcgK4liG?(uka#t8{L(p_ogGe};RlGx2E>F7J&qGd#vs&>d`so=Kl`xLZxM6U
zZ2-jfH3iazyEsLS!X>H<)^wYhFq@byt$&zX?*48>Q_&)QYa5A^EL3;BO1$jx-l1ZsI$<#j^~*Usx^Ah^|EE`PpgXK%~n9$CkV*
z4>;1H8^ogyU6$G!c;_w>vM28KP=@@AaF_n1;B=V(a|5TE{fBw|gQgr{0w@de&r_+jlnjUZ&z-wcx()-N$av
z_=vyg9O2(T+lM`s$+|ubJ7kyXaiV5?00vP!l09My2p}8KdEba`Dwl#zuA2OcAE^1!
z^!&=xanSXwbUZFxH%73dM{W
z-$09LnT{0Hz^wWEYb(uw6snN!@`_MB4!gKkx7vvtRx>hD`A+zq@af5JlP)K$*WKaM
zQA2lai*MIdY62#gvNg*$Fm4J$$@d`=DU|NXoVA*k0BW^oc*Pel$~%BE#qbx*g`7IO9ufWmP0)jAsJGK
ziEqkf4x_cS%gRHA551qK2p>vi3>?irs3a7YaxImRV^xKDA!ZzqqKqK8(FtKaZ;Eey
zs3i5u1|098gkIF%!rij64u}E+$o7s$H{C6V^bgO)0;T$rxdz;?XfM=
zZW~vd$U6D4@()+e
zatB#p-9DzKnIsGYV@P)N(FF~NQW`v0F#quGP@magYVD!~r!^rpF7?oQ`_VhQZ|TP<^Q_6ST)cfJJDA5{wRWs16x>Er`!BdoTzHA*Hs(WI)~JuMyFWh
z!#{`Vx>XB>fkRzFA%oN#!C+jyP9Yt=5hg?k8B`sB>?I-5Oi(;C4e}@00w))=N4%C&x6tT;6lHU`?_)4_YNV{kX>C
zzSnJNWShoxR9H&UOkP==dI+4cs|W&7jro;ZbbzgJYB6^zPQ~%blUB0BJI6BkjEbb>_>A+H29guaisrUYh^t)Le|Qzdks-bh6h%#yd+|cH4pNAP|5v9lPzmY0_K6py?U|#-~LcqPb{_N{|MsfDD#)kL0GjG2M9zUz*q)sf9QN`6p
zT?cqiw}zhHRr(yavVX@~{JPpXe~hTOW~gZP20rYXm7!Z~R#|-J`VFZwSY}||gTI%}
zJ7pq-(1sI>i2QBaU`t5I!ft{~VM&rRE;C>BWR?1GfLdzE#GxRjUPW6#L;dO%(%HMQ
z%QttL2P$|1CKDCNJw4rNn5ynF4c`{@&4l}GtMRz|Resm$FY7U7c?n1XAUr0l8?z=+
z-zM@*KCD$64RWz&VK|K4#%R#&L>^D;Hfiv_d1
z8kn8hMrD8LvD>|wqv!tpNF9@RFL~y#{?Se7=NMP&B<^DNFJtd~H96-)3kAW)
zi{2%iSK}-i{YoRn?%7R_%!+w9Ty*PmeZ0=5>0K+?Nmc&mn{P
z8#C7?&2JfQ$M(PS8dP^;zc$U<4JhvE=&tDuPLK%4ixLYgZkK3(&Obl@uKA0!(vPKt
zvJ~jM$nmiH4n1y}ZH4V=&%wATaTOd3FHC7<8Q1$G3l4EF$0NTd(~~p)nr=?**@>v{
zI9t}T=j40oo83pcjvbCaDx{TdbB48j4B0}Viw6m^#hw5Q#`W5w=IG%)Wr%tM1!a?8
zsYN|3gV-UNQnQrJvH5r3PQjmUr{BNW(xoZkM}Hf9?M%K;QSp4nlJ)dK`vSfz0tV>l
zC5ZbRqTe+$P0c0kTCtAZvK;zk%*|+H5*2txF;BqP-g!d}M@RFVGSibw*H8I0%t3oW
z)ST?e#d|=?)jOW_KiNAE0{Nhb(RCigBQBzpuKX-`iN0`yY_wE$Fz)FItN6_bDD!ur
zzA>n}B}wey*^)-2l1&W+hXchGU3sxlX0Xu^JeC_PVp&|?3Gb=al@~f^a$x5g9Kqa|
z&Cc)%wy>;h5TOl4oYWf|kbR$P)9v;zyLL9X~Z06prhet06?4;J?
zQfOLH^}A~OvSiBX8UrBn9aEQAnD0IGx&_c9Fc4ZG+*-rZ!rXhTWmw7@cyp|`{tw(P
zOafUBN7S$+Q{>)u$vlEsu3Xc7(}N0U?1ykA!AZu^*xL3nruK@c#iUfBmYfogZZci_
zq!8VXU@Y)-uoU`W7ks^i6`5Fe3En>aN4LAB>o#1>{u%t}GcghrKok(enH6(S4#qEv
zxjthJz7jg{SLmt8eZ5v#z^wR=BrA{y!IS#10H6@6oR@Ha2vFa%nAH{yRvMsbM9~K?
ziynjm9W`)$vid-00VVh9`M@lfZ2RYb3WRWDLV!G7j}*P7yQXT%s?9irlLpYR-On4a
zBM1#oQHa_nx_UQ@HU<>|14g{2-GvsJEfICJn2(n@fRi<@VYu@gUXiR`VuZeA3+beq
zzAlHjl`~`!G?7l0=onBCGS(08=&|k9uaar^!~}H0OthF01F+ml(vjH=ejW<}Fh6t$zHj$9wmwm;pp4D0_r${v3
ztc1I=8Cg*@89(uoMAx#H)cs@7>=fCYvsGo5*q`i&v%JhRH5Ya*6Nq&smsM&yILTsX
zoh?xNY(6MhO6pGLTQXL|>Q}djg_s%wCgU>%kVv5!wUpy$Vel1Nv|Rpmq^9|PhAEk`
z>H<+adVenuq=He))?$cRmOX#=SY{SLZU9A9rB1OD4~xq_(wV7#qrwz9DBZ~jI)2>M(vFRPSvyvr%>w~o;1sjx(y2DJtg=t
z_rqaNkvX|W(#;zT_XkOye9&kccKpq_0hxo?|U4TZX4{cwC9
z0vW^SDjcBLUg2p7Omkwp!Moc>eF~rEt+pKci2$pzRRWZ0u_Hb|%K^O^$z!NIu}>p6
zagSaUSd5xxnfgJ_qH5MwctV@T8fz+<0Q}JMPxKUX(HpccExYu-txQ_TOiPKMs)jW`d`>VN4y$6S8Aa!
z0S(xI;{%*O*x?HuV%In-rI?iHGyR1y`&@
zO&;xC?-&?W$Ja`dZY#fPmozKhP#Vhyo0WqPoP=15hc|3&Pf{Gv)bZXiNniQfv)p()g8m6rh^yV{$
zUHs!8X)kd7S+SD$%qfy)Zuz{2!PY|-QttkZX-f#C=gjvu!H6sqGUMt?hW-H<*%Ic$
ztElc`sFzP+{3@f)iKrKNZ@hb5Jag1lX?|i_>r~u>=dTnv`ygX~SZn1Frzn`ghb15K
zWoN&zcK>CoZBS2~2&fBV!}nEV=X7z7Z9m?xX$MV2OPU5B+A?Eu2V6^9#BFMzZtb9tU>Knx`Wuj+GvT{|Q!LW~
znpMIF0|7w3mSNTdH_a2XUYS%~0x40!37KI`pH;-PhV(JI%`Agk5LFx%Eq(0cDFe+M
z1t_Y<%{gAA@bGF)lXRUWM1O%#Mu8G>(5&khOPb(fFe(QuvcKRfsnMm2($Y!``X
z!kO;aj7*ziL+Q2diy|lERE-uuni%GQ8gnG-&{&LbF3ZOW1HHVnPhl~_yyVy{?y?b%
zR&?OrN7GNknPOoEjz)0Ca|lBQ&1@KAa>p3fz_p{9dM6r=VbOQ=(J&_*^JWvo<_EJa
z-czCISZsU_H;QIv8KJnGWof=X+n=Ma6MZJ^@g5$e(QPeDOJVnE+0+lNvdacE|5!%A
ziVI=;vSo|!4Z2t#6gc!<2D=jevMIhG6o8UFcDRRZW+8U7e6|8qbBwW{dU(>{Eq)HL
z!N$MSXym_y&gfZHGDFKRcJ`FWK^|VCe0J@_@fUE0WfT}m0d}{jV%yC98L<}Rhxf7B
zx0>Mm`C8Euuo?3_WVz=MdewP>rh)YW@SpoP7+O@i{@mC9%r^&c-R3Ml!GN&_9I{DZ
z^fxh`{SpLYt3GNg38EnSXqwmtpx*?gy}aR5&HyifPQ)(GYI#N2Y-$+xVE;-ecrY;K
zw2!h-3mo%a5C5MJj=aJ`5xTQ2BLE!OtY&#PdnE+GfDvQ1f){eiz%5uFUbFf8-6)6|
ziD5LxyxqibUN~^TGS~i1Q`xzz%K`G%W6)byIF`6q=SoHP;WCP?E$-!*Uj6>`Uayi6P=0vc$*@WU9>jL@hD+M1ze5){TKNiX#WVL6pUloTr
zG*4|EG0f7y2>F!2LuX-phJ3;I!tW;&
zHB(OBp75hxkYr{B4Q@9cXdQ
zCTW^)bgt?>>*-xz(8lEvT69_T>mVRsp8w^$LlgW>f1D9@oM95>u7+mdI$-+}E8VM1!s$*a!ioXk{vdysd@+rG(4!D-#BAahhg2J+d-uAOmLQeOmKG
zHucEwLt)%bRx+4%7y$gNjwWD+nZkR-*ON3vsjfim_?+>`xRMhK1zI4DI_7H!q%d2P
zG;&bdqQ2d+tKZZo%Z($Sv`2r}n5wcq{cU~qd*qZ!%v8JV*tn0vWv3GUp3&*4X%MhA
zPp}j#@1Swx8?urF0CXoX$lDRdi334b%+02IE~o-d*(=ob%_SIBOmhD$Pyo|fVABPq
z3}UyjOS@d01laPsT~>*f`z%?u9F9Y&MMx>_XQ;WLEfaTQpP=*>Z#)GAg24@qpZ4%V
zhKv3^dDi&ZAWRv=6Ns8raF)6tF$n<-sWP7MGjcu36Qw2D&7L>n|5^WBpOeaj0f`P7
zA~G^qts@_#n(gxha3*ho8{K6y=0o4b-
zp#vYU;zPH!Mir{JsDeOx%V@UwgE$^R#Kx5KK;c;IbGy^}R%HbyzyKJh)QvKM1G~-Z
zz5+l78itd)Oj&W(r|!R$nUy$UrFrFKyl=Ri?W11;@-d<_BhrbT9*&CeE6VohNGeBg
zuSIMpN5lr;-4`>8T5K(ydU-*P6@}C0224BJ;U7$8-_>>
z4<$ej!{@2I=`|9aaM9~jHyOI01#BCt_R7wRgp{b17)Ip67bBu@ZZ)X
z5m&XX7u`tb{YE3tAN`$?R>JZd@oXq`M-0O>(ZDu_a&`j!@zgx?{O(uT(6_j5uDgSj
zT5I8`+)p{{j09n2@C5E&Tv6%J^%T0YexE2&0BTYa(0SBdEezgt3ScvyNgumw_9FNz
z>Mc3C7nvz@a>ZyAojPkIn2<^nX?3X-x7cXeVai_gyj^NhKK6Tul`r}LJ
z;@H=bCYuE$k7H`>Js=siFUe8UV5(-UDy@Yay{#xh@az33>A=!Mi5d!dr%z}xnH%6e
z6y}eSU&1p2RFqHH=8NB`gCHCdXy3Ko**tXTGC8t+<>TgVR_635+4|L|cVvMlH*lu-
zgc!K()dli}BlE=6B!2|}4gy@!V2QGnQqBEF*?1;Sgh(DHw*$aTUO48BC+jGt>_E19
zE&OxwUeTj1?Keb6Fh2urvGWdIopP>{g|e7Hh+CesL^$tuX%3hK(R
z9K(xxpdrElRzTl6%&uAP;gRI~h*$0L8IplVB*R+lt-Ke7zUG9iFPjPIPr8fw6a>i3
zQOuahi^2TC`s{~U%UX2VURPA@{R|o
zYTqg&-C;_}(3rwhQq4FTuU#&%nFy3P6Bc0z;~}S?Us+DL=L#U_GE*1xXynRV>MB
zfGKjK<8r#WASyv@xgY`0QUW^h2dE&^{>`gvHCB&kk|owNqSIzbh-PM3l=t5`TPsy-
zL{L251LDrO4p2nn#-xA*V-d|T8iJ?HL?EDmB!$S7;VGj6D22b=eq=b!XKQzIL!uQV#*P0m!s=~fCi>P%p=N4
z?&^k?#Kr<9%*dN?vh6uv|LM~>pvW>rNanQ$@dHNaNWvC2qdnNP{%&F9SM(Un-114f
zc&nssQWONLz=pU`3dJ7%dEW2Q-wn~vzAvC+b^C6ZGsUAVSo)jNS0YCukwWp>1FkY!
zo=P~HHGHQk+sG&i4^=qf5++tuDf9YS_t3wNPYvXD+Ipy2AdVCzC7E|?xJ_nY`vXQT
z<;Ci$(!fmKdK2{1h3nWwvFL}D|HQ!++tdiXH{X#+Rsvz6`{rF^Q5ewOaEM^3d`ol_
zcH*=V>rfgPu!jMP>oIQ?{%D8Dy%1M}NBnWz!*`!32(CV*mP?AeMwzRl=**o{0$KPm!|*pGwi
zWOLG8fZYa%`h@}-T=NwUJ0@LGx9Ht-`}KZMUUe=elQjMG{CaE5&8?9Y(-CRqkw)9O
zevGq*Rmg(=m`KMJxo6v^>O#bFyim+P(z|o-#lAyvrl*Xu3)33CZY5fb*~S-J$`~mB
zjL5&Mb}~zw7lP{ZD-FuB^bLO4y`bNDhO^0oT>ojH;qwfS;J0;YO>#~TE^)n$l*B?;
zXhQGqg5!t=KU#YlOfK8^jSCW3HYs#hLkD>J{lh_;1;J(GZwTlAZB%3og_(zJI$gW5
zkxATkl=^AJ5M*`DzqcP2SE^nOYc)u*F^Mn{Y~M(gPQtwvTlSVMDt)qG?RytONda9Y
zRPSyAR(TqYVx)4#P^4s;&Pl=kNG)k#yXNzuC^{(5n`6N1`W1KwFB}3?|KeG1zrHbO
zvow-QXfPKp?`hqnL|%VmgOtQgawIBP86*qo3!88Jw;**1XS|acC1PBc{42DKI{d|`
z?a*?odHt_XZ~SMWhdMpz2Cqz8+-`i__cq8_N_Sm;@|ME}6#9(@F<{)PtX#OnIUiS0s>0`ir7TYy*YrG~S(B3LLMLo{vb2K>$2+nUyOW9>3&>$3!
zhURkQC!H6xGifY}Knz7bZ%h!3lS?cYxr=bi#RwTd(P#kFP}{8Mc#e~8xK3E6fz{Uu
zvxR$sFv6D>2STi{Yl5_`-bKw`fWf69MY&Q$4A2Yu+Xza4KS{?qug}^apW)&+pE>Ub
z$?9;W{OV4nVc?Q41y502dh_L#iP~i$S6bOWe>+Ic!y-8o8;Ic{vUs`}(KHu)1VlaZ
znYq{6O+T8h8Z%AH#mjhsq{cX1g*0PpJSdj!+g|Bbvh+LliRLY+hR-`(n)04g%34=3
zu4*8Sicm|RGMKpi{QCGC)6ltPPbdtnh`peR0GEe>#in+}05yWsE$GHL(PwrqFiCsb
z$G@)P%R;;emMX(?_w=fD$@TaX8{$Gyv6K_Bi1+*J6*l(%`GE=OQ9Wkef?Ga|vzZIR
z6mVn^ba@0=c@n1B3;3U5Gpt01x|p`ixzw;xrz$UKAD!T3ho~7xr$O=7{F4w>rbWDz
zsq|?8L0~SrQPj>Fse27p+W&!y)sp|AxiiWfx!%xoj)*KPj#vs#VTUSwr$lbyoztwd
zADa1U4W_9N8c|+Nj|<_C1bSYyO7o)&C;2JJ4Gu
zlf0d^%4al8;uWGm5#3(ITOeXzgUH72BanK=i1!sSt5WH3ALsd}xCTkUg@12a(ri_3
zf?aY0SM4I)e2yq`vId?V;(CXCv`$4Q-np)q6Js@rB29E=Jk>9K>Ohqz>?a%uaP)zZ
z2q|DiKnQzR*qJM(c_&XV4SZeAP1qmqS#M5~<7chS$OwJ4h+ch7kF{D$8dcb!(|
z*1T^la6=Koz=d2;liKc;%h0!uorQmwBZv{Ie+M+Pd|KT~p4f6fJSx4SUt3&XLKW}j
zFs;VIwYcIk8NJ$0VR=+>3{zz#01n^`iAn^8Am=mz@-0D|F47WLNYh`trebVS-QlHl
zRjtx|P8DsQE$B>?zK*V05S@I=;z*ZNJb&%280$kQ;izw@9nv8BnzkB`JhK;QYwe$D
zeB@gFQX4Nfhh9Hammu&O3;m3Ss=gtpZBY$mp~*2awp!As`-inrk6UGq-PYEb%cY$=
zP_DF`S529-`#nxT+hWz^6xzoWc=d+xr$<{k7gCBnx0(q%4{@S&-}$Dlrcar#`A0-?
z@eYu9_>A4=E=5KBA&#_HVUnZItNmvODOVuNcVdp|FtyTjHd}Ou+bZlo$hgct{I1MJ
z`wjOG);!r@i*Z3}TEk@+X7TF7qCd_KYVBikvSrV?U)Y?Jq+gV!
z4fEkMUoarw>l_rjs>D0va;L3+Sda)A54
zDr5+;*(46F?t{?o3cMyNrtr9X6lgjvGalkHlDCc<3~K2`$gg{c@7rb%Zkp%+x~
znsAQ|)+50xCLYN=phR{zqmym2Xxn#Z1jWpJ(MJ_hF`>73c-+1a$wVOq&@miKe?dn
z6tR!R#fkE1c3-)mitf)&Y{Klt;h`vc;sTASK^#uIK|nlbwP-rM;QpzqdtT6KrNLED
zc+nO%j6nq|PSUitUTCrd3@2N0qWN0`(4j|a&MkQNf?nrN+Q>_q=GY7Sr|q}_y6!Rv
z^kybejOebn;iJvepQlzYzxm<+;LNEXuB?SU>ANf4tRIKcSPSS)5{4t$i$|p58cg~8
zkqdfQhOUdTp+vOvtjOUT>cAb&=h5NvyF|qTur}BCJwWw5^a+l4$K(v`_HuNnKfsm>kn_etUt
zVgX<^H3g;`YclV%9sPn_P|Ke8TscUfG!y?W`RRD|An{C63#)UBQjmd0fFcINQy;p1
z9iuBTA9B8IEr4q$)odo*uDA7E1(k{%`Eu-qEvtg$pft2s!^r~ly75;7W0
z;)j$SuG@SSO`Q7Mc7Z2@WazCEOvAv3TWI-uT&0uDVn-f&<4{|Sk?V$jvu!MTId}LL
zAKQ(W?^SNlg!*oBoX8efi|^o$>WM+8FT%C2%Gu*6QU-}94g
zGXTWF@+JKXL4$oef5TOK`jpfJDDGDt?R`tHGFL8{lkgHMUMQ+EOG~=&cev+4?5sVi
zJXa7wH(c4JxgSt9Z9C&u@{dBYaKjQ~Wh_
zKlC!HQdIX9d`f&=Y*%3dRss-H-azl3wsWQ-W{DE0jOz<@CH@%9@2I0v#krsoOA}%m
z4Bbl;zk}20oZM@|H6B6u-GB-t^{*O2*B&~qw|2DWLa(cbeq|LLxCK^R=BTe9R3;hY
zc;C!;PZji!z3Bx3IM*tyy!kAvCnBUOV-Kh|T57b`E_W|JeZD9n?}|%m#k}9ZBEU5Q
z3VO4^xQSu&q?C=6XHn6j(u
zbK^*t04(8ys9z5$+75zU%PY@SuKz4o+WJ7imkAFZT%IV^^zDdwUBM^_9W_55Z@O4p
zRHuv(|;h#^^&IiC^!9kvEEqs9=`ea
zcBO@xX>&!Q9%88GUJFKsroQ|8$nQnrVKiv?>m&pbYb^J;{MT$sb
zVjF}ihBk^R;D#i<%Mc$|GJ4)G`?24XoV~?6T7U=lh84S7g4jmx0KydyNIsjoXthmQ
z%AU`CA~7iT$Z6PC9G~_jOTt!fn!7~tZ^^=@4T9AU^jfMk^_SN`r0&S<)-iI8g_XmV
zqh%x;E}Dp+Z4r{-{vWQ+I;!bEe$<~8EQm2iqi!%@q;$s^9nv7}NGWk31_(GtjZ#WL
zP#GyDQX(NZQUsI`6%=)Z3Wy4deiehe-?{gkd+z;rfA4JP{d&Eg=TRMP&(Q|4^Zt#~
zV;c{Cp!0duyP0c(z(jMMuy|#I8#hEzT&CU2-C4EA>s>(Qb5T(U8Y{ntrPA
zesBA!W7E9nMB$Y#0CI2SO&KKL6z(-qBpleY!e#JB)eP&U+A%5&B#;6ie}uEqO8U#x
zVK>)DENIPUV%B(R5%hXZR=#F?2&ZVq8Q#j4O|0f<%>Qi6(FHNT%>)%36Q&VzS6!D*
zewq%(n~6kN6Dx-=m|Y>kch|92-1kFD?criDf)BNQjL&d-Hf`w5gznvR+M7v6fifIY0cw4?&O*$K7D`g7K3!^k{iD`0?#GYUx5SaeqA{lc2snBcyh2j9Nyf$$
z%@FeSY7e+3;PsW~`!4{8wsg`v!Eu;4Unmc04>)NVE;a0Vt!xt+opN@uNTy3l6Cnly&>b|@EV
zUGJ1*9(8x*rz;H)ugFaja^%$J`I`C|hc5s$TiIy&ZdI*YDj9WUZ46>
z3gVIGB(LnbwC~F1$ez_8mAPvUXJ2L&1Pui^(a6FCmZ=tMlV90*7-B*NNe}hFWg>R7
zG~^k6${W*Iv;qz&t}?CLx0W?2GgN0hTGx`y4<~9f^v419AmMxWj`$AO<
zn}Q|!2D@@x-2#1Uoyztrv46Mb8kYf@@boDBNbj1(jvi;PXv(7%Q($>eQ0`Xu*^)N^
zJ>uGUe&h;UgD_>DO?0_8KvLWC5p9Rz6H6)yfyA&>fE6;Wg>*!dUBZcWizVX6d!Gmq
zE&`-GcFChsAxi{H-#NOYu5@}z8Q9zu!)#56
zz8&0l?C_?z_go-W0ELK*=inF83_MSWmzf;|RdP-2ofxVrUF`~ZFg&VH&@cC%oZUVj)WI1UzOwWVn}md{HnoC^Pr3iuijfgf=hIiztf|GRH+
zyS*NNnRh^tH=F*f_O)C7DyF;$GGqFD8SKNsQ7aq%Vkg$M9gOlITEE2i#Q
z0*k9MC9G%U!Q+P|RDvhn=kECL6*6U3z`)8G*kz-YObK)fB8s|cbsq}Y=W?p;)VYdk
za#TFZ2cN2sl$o$%eCkt8zdtr1;gYS_@9w@QfHh1PQKto1C*d5_*sWCo`Z$I>}
z8<|3Yy8z3Iz<9hWzWQ_SU}`SMSCEj_uvFKAqM5Q+q+*HpBx9R~%g6SKecwVqcC(9B
z55FUe%%vS#r>4pI;uV6;_Ft_b_v#E658Op}q0iL7hvhVp{5sqg$X>C`)zH7vb=s3Z
zny48mrqySz@ga;GC-)ka(|GMRz!ISV;Jjga$LfOX*fQVwIg@u%PQPlzx#UXz__p_U
zl`Wqw$+`37tPA$pj(Lfp>7eo+O1KOM!LCz#gFcE8PR#xkN?A;=xjDRRrS?MWBt5;A
zG=_BX3U4iEaUu_s)a&w~0JXgi
zOADpEUm;vJ&+C+)D@EuKhp^)$KKj^d?w3o$Oj$OGTayGeBt@^DQYevL9RD(67)&cM
zJCEELVl^i3*CI=B(zG;|pLwF;hpgN8jMK#Rm09nmMB}=2)
zNWY4~3R|}V6T^^)b{!RVlsba+$qfy(%Xg|HmAi3hFi7y`tql7WyTl>8uVW%lMy%eX
z&-JWhu%<_Y1BO&qe-?rfJTkn6;rETnhSjWZwKRS;GLp$g%AUqId=bb~bCjA>icl2q
zXgkvqt+f6@Rv3KmfcklWVam^@@n++~9H`iDGOvxJ+n!8~`PU13rwF^Xi#C1wkfz`^JMfc?;bh-fj6RhxPz)strGajRKk+A0`Z~?VR*Qy
zzz;xB73BH{0Z>g(aM7^?qY@_3_`x}1M3qP=m$g!LLoHL_cgw42&^?EsC6830Y|hOO
zs5_ws0#cXz3oQ{I7V{kwi^hllc_fTQYVkDlZLp^jbI?+XE>1x&J@Tb(1pXOIg;L(%
zzrKRmV&O%l5VuxY*ma@T7B)QfXi?h*%>cn{yl6R8sZjcqp_AOZdHH4`!@)
zd#o{t{~$QP6&T{nXLF-TP;XXC>=WMY8on)-kU~p%ZHKfD=Jn+6Knq6r-!!J2MlBEY
zxW1ijOczt3Zy|?x{;-hK$9i{0r2ep)&W)&iP}eS!61ydJ%@9Rkr3!lw39F6?D}eZ;
zfjQ$UX9my9LL2YTA=1)k)aSSfuN@V9GDOD%DO;JG!6ZZ}0Bg=8{WS(}F33N%W(W^P
zjWf9oImAWyUtzL3A+Is`n^6T_yQ2EgP--IZL29t*q-tP4y3^gmR8KD!8^TZUofcAA
z5hhj*M&QLMru^ef)I1x-V}T&8V#~(4Nn{C<)Wv8L|6rZ8V+y*P1<__ATS$xpwuXhB
zxx%`j{BjV!f%cFU^i~xts1l2>A0m#fNpD5tWCbG*D;d1`cp{jI<`h6xV4}1tapNH#
z3R!-EX>;KzQSvfRD+S?C;;bM->LCVLSJbkyjC-7YRb3zhhQ_Lb4A7`K|S>cg=q?@2t#)RWp(JeIfQi7Oalz?sWZsCgP9jt#p&<7-15
zwKV0&aq(mn*z37FW~B2@-$o_SHYp7bSBKHoe7)lDVl`cqf7FM!jp#MHG{kMCkjQyl
zT+-B(r(wtByNhI@p(4&KNM9Cr*ajl^%Lo0lUXJF{no{^|bB%*@DZ&aoE5mD;D3CR2
z73N@tUFYewZN|ci9j)dh%)UzZ+45_%>8h)R=vzDRdNiGBbaeQwabQ1Y#=MFN8e^ks
z*~gx%C|u6=LNGj4-4=&gua)56KO=$SkBv=1D-HpHjsa+G7T+H2pYh83o|Qh|6yd-L
zXNMIDqgc|bk3P#R+)K8T5K5~=S+p$WqrTh_dG&Z+U^}t}G0tk7y+X;`pgfxnWHFP=
zNIc^dK3#tFI4Nm6%MXOZmZ1RI?vRKf-*YJnk!?bQFwtCuKnIF6mnn%a%Sio95g;$5{=CG48IK6h*XQ}
zBZN7q&*yac_Y|IP3L1?+KkyuJj#b@lg**y=+%kL`R;mlXH~-@UisR1#aND-&VE~TQ
z!Ua&r(e;$>VKZK5+@(?Zjmzv0j4}Rtd;T6}i&)3=LMa&1kowBU5S3Ldc;&p4l%HFPAR<
zJgKzKj*df0Z-wv~r-+q9gSqgL2Vp#-Lj2Nfd8cYzi+Re-x}8oC@w{_`!t3++Zj$rQ
zd20|;tk#r2wE5C0?SI}D`d8^_Z(95f3jbn*&@u_iK1s-DXkP(z;$_x
zq&5-@kH_wiuz^FO3k7_`Rk8O&?2f4z`EF=6%4vF;Wa)aTI9eks!T
zg9oTJ75Dv5>dl_mLG9N`mbuR9m7tN7f3?r^I(|tff@lXigg4XoxFY#TI7lc7W=P^P
zq%GV2BKCpl=OJ=_@d`aXIdA#8RKON$)tT!m1UE5Bxm{_>=OXg}o4GVT-xSQws@cKx
z%yn05`5&C^VhCxtBEVh#2@4*@<{{Zey%Zz-iMeUfr$BKPt_Tz<7d-JKQop`N$S{E4
zzRoS0$>*>ZyWZZTxXD{~HK1?JFmpe8}cv0tmPNv`3m9zO(qZaKh_OG35bAWwqmJL&8tiii|s~
z^1PEGvA}`nWeX6gvT^^;V=m$Dgyvg8&2@HKNXQu1Bk66Vh`i%BBwiR3FK!GH4gDyn
zy&|Y$D!d1js|JuP14Is=QO>0!7!(Q{+UDLL%8`W@N8*YZzF91o^ZaSZtoIK>R35
zT0H>u^;Y8(UIHf;t{zbR7S&Jg>e~R$b&>E3EF)cUz?{pi*5JX>ar=>`ST`B;I1TZn
z@en7gUb8K~$TZlXpc|gsd5@E8UUZg`c1J_;s=^Px8;n%S@Lt9RIpd8C
zU1}Lx2?{6+_%>d3-yuVouB_oG&;2%*A3-pY!scSf7BCDby6rZ3l`RqDP
zQfq?~!ZB?=vXbU^5!dpD&8;8_Cx`2IxiDzch|Y^qUKl|pv`
zO$UbaYDjJF^ii3=^95U)E}~EM{2I4$*ZL@~21yHN5P3F#7o3frxhFmI8hGZH)Og>;
zqIu^Th^7a;c!0a{+~E83-ye}V@Adye(trF(y09n>xj{goO$y{ty}nmxT3Z?-&e=+#N1uABG!3z;`X
zs&78~t5p7%{vZkR_z)qR_2=K;x7<2!Uk$vil3a{^EuYQ4ZWtW2-Fx*mdAZ;7?Omfq
z%$sq6!>bj6Z}R9~Kh4*q2id&-+Li3p8SqLwT~F7)mjqsKCofyww09nSe$3zTO%mSs
z-#hu6O=tY)SAM-n_V?=P`EVZcKIpLVr;hjE*56mIy|EB~J@}{e+matNuR$N
zY)#$#d^K>RO8U#yH(%Uef6_6(i7?qcJFqNd5+r&se&oTfhSQg)h+Px{Sa*SpScI~#NuV0w~XNXe-(LGenIy)Pt0Gl&~rQd4FsmK
zQlKbtLxyVAa5|5Kej;40dNd2G=zX7|Rx_R_X^^m824x8r9I-1m%u=tLysG5Wmw149
zx@ujh8T9ggmd33oHw-WC|3PRr%vPD_h#TosW#{YcEA*3)T1^X$Zq42U*;>udZ~OKq
z{6%WFEVc(vl^f+~-+p;F>Q!G7N~d+XH}2!hfgBx^xx+@Hu=2Z^Vj%qYh~*E
zzv#gp{-vt9TbKAv1``L;-yi=G0R1DN@!e(&^Yg9m=Ortg>D#{|b~KocGwuWlyUX$4
z)Sdm{ECv*U0r>~$y|?_f>zO6|QvaS)PUCq!3otMlMwPF030(RtWNdylBUZ>6nx$5<
zQJJAUeieGrVBESU4_-wqi6Zmqy%hj{76j12V)C^+{pMHbnahXNMvE@|>%Dp&Tp))oL;ga`F|#q>p_io|
zW79}ZQo%K8IsW>^HIRVt4byf8I1Qr^XuIX`_?hNxZLEX5Q*GU#t=lawnFh1Uwl~P9
z=btZ4qUBB4NF{q+6$Gv5``m@u>rdp-O2Av)Xr|X3FHY;S-@@TNxJg}Yrdd@*`RHpQp$+7QI`W|^_pL?HveD;O^
zCEjz3fme>5TN3$||C-NukqzN$Elm2}?|Rg)qAu{^sh#D}FOSc^O+MiL>3M#S53P+(_}r4%@L?neX0Rv(hmdD#$vf3^NIXWB79
zPa}(5rQAGVOLGH+YJqnKlz3p#By;b}`G0n%NNAubs)>@S(8h#Z)qtc45z_edIE42F
zuwY+3RHlawQdCVr!bicv0Km)X3iANCOoN3gn0fvPPcSn>@F(+BS^DiL`E~$>rwJlh
z=0##LTGnZcVBvgaXbZp&N%;dDKIv_UH+gi!|OO!6g*4iPSG6}0D8<6
zxYQr&y-5*JB36sLnyJZjw}X-xK}WWT`DVz`d_5vT+LB63_}i|D0Z8b>F;JNAZZ=mK
zjj&pVjM81rZ?uL<^JVcy)eaX(Gs=*1V&V`mNmN^vCCkr#WUvg9_)WArA_}5is-<(i
zBZew`cA5~J=qPO4%Z0jGnF5BxB|OaI5C^e`u>g(h)`Bc*vYp>qsz|^hNVufD_gdtk
zJA&ZGG-a)-8P9vUgOihe#q@u0MS`Jovs(8ZDhxjwkO2A|&<$c?S%g%+gp
zK(j2!Qmz=ldQ5Sj`tZ2wut4KBL{W&DrV~c0zpe&!cGW#1gf@f1n9=}EFJBkzTH05f
zCMEM|VJ0}LXi1#~@uV`0+nD^CPKt+K^*z5^T?K;a0+4x8kH@~wI1@p*@W-(h4Fx7A
zmjdCj%%F`*0l;^R=-AguF@!bC2g9I+DEmA{Py_&&?kEzAPKi`zftX_rA^84lSR^4`
zzKacapn)Vj(VQwJlt&%+3RRB_ZLm0o^retRdT=m}MN?SRR7y1>?cRXJV}!LTgfEcY
zqY9XwGkm_h@aISG+`(%me*`LZJzBNzbFAq(n;_HAwxxZmW38m=i~jS5=X>7NsYL6D
zzI_@c()ZD#m3ODaRYy5~N0{x6CRWXh&OK63RhbEDmuew_gluxyEzz=Lmo37e>sq80y}I
zRI%<)NivB+xZ~rga)h>=R|WwxC&x!byT4qiyS~O{5N7uGEL-J70{#=3f_w5DrjbGmT
zGuj?+vWg+0fbNCIDgQJBg(_Zrr`KGH+qN9$)^-VqII-8pM
zI5PCO#L{8OjxwKtQzP5wUp&=5*R%UI6!Eb4#fSIj`mB^coP&feQ|ndQ?<$`jn0+<-
zEad#)_uH@VGtBY-WOpC@?)c&?V)($|vo!)L{c*!q;_17;r+hO|Z&NQ)A955y8CHow
zBI6e8ywdR}I*MZQYH8slfQ(k9!ZmZ*ryz4aKE9N1se-lV2Oz)^S&#{RLY+w8(X+}n
zMjOM)C3dI#<};I`^XtynZaB?E9*9nmIIFN^frVa52On)+c~!vlzXXcYYgR|a-|fib
z_7a1$89mJbyv__g(Ko=y?vLr|+J+#Mohq1163i`pq3+G@*M(C71zw>^z$o9BQiypW
zM={)NLwF!CZFX2LC`rj*=aPv0zLw0Dq-}Fs$Gf!u&&Ylp9R2?o*){%uBYTdvO2q#)
zvfFgjlDP%_8Z;ku)J@Sf0*8xxRqG$8$(&w=QZ!D^l>TocdxH(P!8v`mO*&;b*Rsa;
z-7i;)dzyaI8_5e=>(3i0BOD`piIhtnvI0!m!qRxVLe|dxiO>qQY=}O^9_Trf;XmNp
z8+!ZI`8LbGSV2YqY29_NZqz~Fss4Mrp5;=C$BlEvRNedhZe%GB>k2hIsm%AsQQsSDfRYbmh
zl0^7Ij}Xf~*yI@5e|_6{+Wckk{I~s*@2N={$|qur)q?*~VH+Q3u`HbO$cI*<6?8iJAf(mBzYw
zYujhR`LakXAs0IyR-L6fz8HWx9@zV?f~vk3a#ipqTsHf>@n%4g-Z`-kl{AOO(CqN0
zM^d?p$)3_zW?
zHs4M_L|1^!(sro&xL4AECP7lZA11Q?kt8!O_Sr5pTRz4t53|thEMeAVdE{U6pZ9ru
zipxzC3TJd;BS^V$Ktx-UW@+lX;S@8?clZ}%XbXJ%^>mP53p!1EpJdLd5`3MVvHW;p
zoD>Tmwvuqa#T}YcukyUk#R)bS+W|R$s&bxxMVgWQg}vq=^(9T+N&iO4AOD-@Tn-dU
z@3=rnqhzZl-Vcb=Zul7kIrgE$w-`vqha1jYejZ1{G+9u<;HR$>r!9JIm?T%s;s%;j
zsnZSB3g!xcqhVF!+jU;CbBpzAbO=BNoOcVtGac3ta=xjK5`r7m(w|5eZ2v>>K(c?;
z+($$=wXBAn`h^>Gh45@x;%6G^MeR9=2)6u#q&
z2WX#papW1}%$6^(qlrjwC@_J~S1_!S$O49*S;`nJF4^E`QvK_G>PQN`R#ZSW!-arZ
z?v$v{XCU8hRPr%MzdczX0cr}bE=|%jY&~W(YZ=B{n6|6sXirJ-Dm$QP$*v@}8JagN
zk)qGDERXs#-;gKPlVd
zZPOS$3d67`7Q1c(fv?U5o~&1jn8Tf@a6yB-s#NIm=NJob!bKVGsb#_;Z6{sf&>Ge455HrN*IqA6pu~e18CJE&!H?-`Gu+I%N7Lzg$&{x
z!SVyXqquc}A)hxqUQH$A9%{ZK@6iyPI0_%P^Cg*Xb1i@`3GH+k8
zx@(75%5s>)&I_d|y9R@|M5SNk@8V-|DusSrAI%(!&_cj{Ylw(t59HvrAmF4mp#cXY
z?Jm%eVuhxXEloDYA$N(z(zV5jKeb9a-0;O0w@vwA22PW$nHkw07PL)tyZ8Fp(d7vP
zSnTCmm#R>=vJKLEW~L*DrM~Sc9-w!&?#e-id5c0`B=e7*hLZE
zNtX``t3MMa=AEA$Z8ycM#KNjQQd_>;j1LS8=BlP05gkGT)}Kk}C1MrX+#J8ZB72m~
z8&u+fn-j8re3N3A+C{=K^PeU>z1S!{*x(SNyg~XU(SQ4^Hu3BCEz^I$Yo^45E9VR%
zQ;(@P!q>vdg00r#fe~sOZzgd{gx#8#c35+@JDGoA@2qpA3?QgcE(RK3wP`S(P!)<0d;QeG;{fNzAYbXg+R1QdKQbGNa&%mhGE=yx)X@nRU{Kzf
zSeDfJ2~S`FHdKyw4Q{l2$L1j%^ENxz`{Ft4%$4chV}iAz`b0YNW7LPs``X85P^DC5
zqs{6a8X`zE6`Rav{jCr01)H{Fif8GEbrWzBsw4c~wG??2)|`K2(ZU>SV*^fKs4H2}
z56FEgSy?ol)2L48j!lzc^erM+hSB7rwE@f>xG4F4UNGf$Sc+R7+<`h$dH~osd
zi{fB^5KJ+5rpFtg8D&=ZQu%9PP9j&h!+5>)MaFmZ?
zkaT(VLrKE|SIB<@gadxNoO8FsfYF4oiK|_;I%@g+5DMg9(d!hM+pu-4xbMDlXKtw0+3A051Hw!E#T-K#Ru6WaS)uyX-FQ
z%R9^iHbvbf@f_Cmgbu-6@`;9QP%0I5O%;X){M=Oq1bTgY4o;>?x5s707I>G8p_%T#G9SM8C_eUp&cW!hfL!O9%A-1ELU~V
zA9T>VmJm%A7!t!xqy&qn5Pnq^9}&1z>fzwxOe+bL$_Osa8cLcIf?7FQp@x!fL4ZIC
z)DxE|VQN%ee1WJdOSl*ArV2?TqGbr^3CtC(Sb~@{5Qj*&-z>fN?BcT^Vr`@7T4x~-
z=op8EC2w4n5IAwRFyfJp#|f=#vqF9bXefdk(4|5V!qDrz<~PO4ZwUmrRt1KA4;=`>
zCl2%dr5LhVZI=-$jF5Tx>*VVgI?k&`tG8N^^CeV+rqk4}2;I0@T5DcT
z5EYLdtgf4c)jK;^bDP%dOy)Uf+d$_6LMU)wU7^UmVxK-4zx}GtM>jj?^n)YN_=t-a
zur`SiGFEjey*7lN=clIhcUX7D-ss*h!&AysF-4
zzk=MI
z8fyQcsl4s!t+y{pH@9k?_R&`PnNT%y);To%{b~NqxVFjLkE`NsK3tYIYh8&DNKbR^
ze{n}jH$-W?wR69f(A4;~oasoZ6x)ZE1;dazjfkx~DPNma*Zf^VZ(x24cxzT$#x!6B
zxH)QeJ13aitdt$~4yhm_>?0=a3cu7Yh5{>U5KAP-AOqezif=>7x6_Qew1NZNBi{E*=
z-&((mpt7LTCu_RIgpv?fV0OA8IX&;2Vjs9$C%Ia;D+EnnZG?L_U(D`y8M@>X1}nel
zbtv*~`jmgAV&9;MIzz}iCZQkK?os^FY*#@@;T77G1}kSG&T@8`s$71mNsa(l-brXI
z>Xr}3kbb7;zK?MKfg&b8kj`xzE>+NYE7&yY`OTfqE|nAvpECsjs@gt)yyRhBJ}{gU
z_{vF-usDylibNbrLF9aR)$f7JFZ+iG3a!Kx!b;megRG_gMwJ!l3E4Z~c7*1`d)&eX
zUiq+N8!bw*!-@AO*=M7U#F($-uvQv+n1yoD_XcLNYDVt*-rG7+q<9;YDA2{q;!!gm
zUb+OJVa~YtuK)7CUuYaG_vA_txciL2Jw3eoarhngh}U{je&h`!Y&+k2U-1-L;3AWt
z0Bh+@K4FONry?O$x1m+g<^RgToSxG3*!~a0@Z)!PJ{YHtQsD3E7KO%K498sBFZx40
z1}uCHBn4&;%pU4V3IrJTYi-`+K7Suug{avWzusm)h>aOH$ePOY
z@#}1uw2d`zlRPn;KF#l3)UO?>sAuda%muI>FZ?l(7({iA&i|pPC!3InPb<4BGT!-bwVJDpHpP31uR#Q!=EKX25e#vCcQ3
zDHMc`XQ*V!mv%GZ&UwE>PBEZ*>86pQ`?m@uo}T$*HQ0u#N5g4M2oVjVl3pbCRmWIA
zvSvY(+1}u5u;V*J*r9t)THNNidEWLhft;t5+z~mS`EsqE^iMJ|F*7>v+CD1G9@)+B
zkcM&kqIlM90uAhqyRO;4^w$ICg@z@6jfCQPhg8u`MD!VI8G7y#r;MO;0Ki`S9oeyc
zyj48-gxj35b@!<2t9yQmVtWrxW7bSK71+_6Y>7je6?3FZTXG%()72Okqg@bM|@$&N&RI|
zm@{jZPwk;QI#i+!#Ep&uNbEH=^xh-b>yoJ~1i-wFAjYHpSmUwU)TNyEMAwHOb#K90+Nwu|F!{N0l)
zU0bitd#mlSK-%kdkG*HNPYwR}Jn=-!`k@qx?M?^RK;hRsYzNdYhT
zc3~Pj5vfHmtzKxW96C)NT}gu4(>5WWxlK0EZOn1-94zzl2)W9HdkS;w%}S&3;_b_w
zzYJ3ttE8KKgJ+E~pQ2!1>5<%et>Eq_
zp_sc^xl3;YH4a)UrTa~KFAmlQ?tGjQ?YxhE$>NSVAfRZ>OO?zeo)nuB05G9`L79%2
zgC1`_E|PI{zQ{ek-6|&~FaMlqohMDkepjuhV}XlzRx^+
z*ZIyU)?$Wplkae$^iz9N-YWr^A4|Y5G9Iv0086TOEXKH?JO64
z@ozY4W>|a2ie32gp3INn-F%O>`;KDV9BVz;`3b<9DyMPBE{6DBft@8xU*5i+di|?O
z&b|yk_<8HTbHTG5$vcC}LVwRuVk^0ZRC!@)aFf|f={T_)`KBHp++4RC;0D-S>@QpZVhgp4dda*pxHAO+
zi01!(*Ph~mdZlnN`C6HrjUscR-FOkeE
zTerEIA!}#sydNCwcokmcdyI^xxdBJq{lDwCSr@jsKfY;E;ql44TWG32FTq{eqfj1p
zIoS5us!hG%?O=h$IyuQXLA8;D$>s
zGHJ@8WP3FufU%0qqJe2;5BZ?9Mg_oZLN5gy{L!G9v=%MZ+alhm^leeP-CWSo_cm_c
zP`p8U*XdQ$;EZwHC*#fzCKdM@x*y0TWWGa!afJWU?G?EiDtTLn>CsH}EnT?Ts~(pL
zf*4*r%QCZVQb7y*0IFfH#xEYz(x%^sA&53gGFo5kxFW2I4RgL`Ydo0%qqG+n!&w;|
zq#}or=KYQ-Rce0a;IZCHv9(>seMt=$8#(vWqpeUn2h6hoXEjNR)SPKYHAZe`ONdI<
zz~o!<$w*nWJ5l_hWMQkqj^tL>RNAs(jzx;(YfaC9OkSHY`Iw*vv$T%&{DDLGh_g&3
z?=dG-N`C)yUY&7(o$a0lPJJE*FoyU)0-|FrCxyh1jfnQTbuD%vtuFPPAqx?+C&x*JBz(_GzDT)!#U7C+%8h)+CBl;>R?xZhJ~X&&q=RhEq4zkS;L6G5K@QXYqEa>y2XvXC>o*
ze|b{pchn!(o+FVJF6S!+TzgA?Q)-dpb|(Y=P3rUds0qXRD9S@O
zl^;bA;ADdVDrK-M(7h8!
z6_a9?T6-8uzt+FnG2DVx(-C(4hUwvD(~m(SHTDN*cU_M+fCZWB+WNYtxVi%Z6!4!#
zXM3d_dt6)#JR%m%wkhUE>@wV1H|%~$#+H4tUsA~uvy-63TSpoyqCSd
zr*E0B@La-JOF-#EkMp~h(jqGGhR)R8pWh9+51AdvLRYg=Hk9zb
zG{|paT}7kro>ZoLRG46M%axLh_O^myH-0iV*3h)`=cs0pVB&Mdw4JstEUJ4OdpbG&nabJKd0xt){-5ft?I;nD(VyywsI`r9fN6i?^2l|Zs`lxzcpUo~q#
z5m(Ey2D!c>7POT$*X14Ae#>a+QDmNq$xm;&NmP1hEN!#p-FL8GEjwvBY?cvQYzKv9
z`5pJOADWB)ZQE8e*$m$*jx9U&ZT(gJj~mxKHyyYzDCy=<#4)=LZ_NhwBa8Oq!NM9j
zyw!LO6lORyDOWtV?fsTQEy@e+Yt7z2E(ZQp70ml+Qn&D=ZBe)qU#OzvZzX%r1@L1{
z<98w*Kt`39*PPGaqYJp(1ufR)Ay=P#!AW3Bj#UWVLV(PAq`;^YoToQ@<)p|wu%(#!
zlN#{Mw)O;Xr0~J7tiizDMOnRk6`H9Nsu8A4C`^w$0v!#{+GX$CmAY#@k-i))2qaEN
zA*arr*o@}b`2JW#xW0PHQ)Quy#lW;l!RQ2`3DGiY$br(O2xU7|v+wMw%`4Y4Uhf~{
zEj1op%XLch{Pw(H2^wUXDxD^L3oQjitF_|L5_n~6YaD}>R`Z%T71ds67x(9m_vuE9
z!trk-GYT5F^)5ctI`Z_kV6670z^<>J5>ypXg-aw>;BW7YO2)C~rI+)CL=DXDX-MtO
zQ>pKBKQ>zW-u@Q)-(}6RCz?WvPfI7MhWKI_sT;&R<laApNBu!AJmwC4J7oUPQ#z$90T5^AA}8;SWQ$#hG~b_p{4GHr4T*Ur~vac
zz7@{-VR(^vS9DOhsvQ%jMgNh0(fq&uO4U;vGVw;|#0YT?IkQER-x+RN=xeMrQUVBY
zA&yQMt)vLI;4(J(30y;%JlBZ(mSo12{G0`vb~+AqHuXvl_`$n*&9AJ1WYgBpDPH=@
z{pU_5g#GFf3AiGwijhxGM(Os8F~~Ie6BSthN0K>q!WphvHvQGy3rEFcNNrD110)m7
zN{?fFZz>4!hD5~XXGs8tS#0oA3E?@G>en+l`=Ab+i#gY8h61Wl-)65ih1F4m8hBdZ
zKR%MDd>-%^O60Y5A4R7Q(IA*w;{$-&_o1yxT2%Go(lC&QQf+Q%-2uG>-?8Z=Dzprn
z@57&3tK3~2K4e(7_?v9;r#eq!gasPRp49>-4l7RF)L_uby2PLh40~Ok#fUm%u)gmj
zA#HiOQElDK#)v&$jKnia5f_l#t_=E0ng)$n?3r3i4w?rutnb77q>OcH)jpWPlLX;$
zv-JT_^*;sXg8nGAITi4S_rUvyj!PkvJ`KzymqEM_9@v7m35j&?$wUPkZx+S87y=*!_*0W7JKwUu9di9)v$sT
zRioN3uJ^FL`MJ2fqfE7f6exfaDDprS85ib6C&G{0Pn-`#l+fTsN{7Jx@EQZgwwF-n
z#Lco?o5L%&zE9j#bpq!)%h-fpy-7fp1oM|nD9Df=6+lgHCct&nOh(NN5^}8Xow5D#
z6Rg*xA494hvH$>ze
zWwGRT0D&-pNHGTP0#d*6rt@<4aEn#=Lh1F@>gz$*c=Bg3WZQyv)_QKia`{;Q#<9%&
zn-h|P4n(eKRyrF>1N}08E-Ep!C>t#R&ohLV{1jydIWegGS*nZ;H^$HVvug;u6g9Ow
z@(8}&vO{rBr-RMa3jPQFG{RXEC}8;uw=;>DAHCYE_wxy!jp;qGS6-I>lGh$<%02X&
z&fJ+hNCW0^NphcZDhE9kRea~|$z1`amCehtDeyGj4b?2sRHIMTk*RcIzH_B6!yXP+
z85mnE8}g6sa*cA;_S4pp5f%+s#|0h!Xx{I=ogw?RL)=x{VW%iuZ`EZu|6s7)
zhl1tcQZVf>+EQjgx2r&#l@I2N%8x;0#{`J0T+KU`NN%@hd`QF=bh!nX@@6a>|8psI
z`DBsBlWSJ=TyPGWvUmHD@0218I6=)wWx4~Ry7Iae21ACQuyEN8x?UU`pdIbrB6mY6-7{5cmsd9?<6#)s{Np{D5(aiiX6Ox(Z)i2i<{NP
zez#23Eh|(LgMMKyyCJO1ySAZ&^P}*sI_*nXzZ^izMVA=blg>Ml=7&DelK6s4thW;4d6G&;H&P-u3qHzzd}LB{MWsTCX7&n4alhqG$b^8^X{8$
z#=%qFf~9Se6k%zRj*@G;}T0Ln_GuCQ&qE2FoI@KgmupBy!mo7;Gqo>x1N)N8a7kg{Yli
zsaA&U>w=QHvZ+Y!j=xn~R#)9yD=~u*Hme}CqHEAHU1$9(ePTw%&=+nL%gr1NrdvqC
z)L}En7j-;}vSAmmm<9qw4v`DCh+8C!`LT*~qNXA4Na+4)h<#k6Cm-Tf0d?(y9_B+1
zj6qy0+dr;3W1A3n7S;5DEHf1`v0W__k3tK(m>olk4G8$4bY8qKH|WOEo1{bk?h~VH
zI|0~m7IKcoWdM<3dD~#5#$nbphhcRDXbbsJFmE%@u@-VXE5#BpuwYg0GSNyGX`vPc
zZ!~izrRr#SvB?jQ-RuHDD|%+x(&S)iN+&ncV~MrO*bkJ&JO!iQ)Nr=g`#umYxMG^5
z7dvK3eX*uv({kK?`LY;SQv*{iPa{DoAfTRkCM
zD4WXF7W#{J{dr_Ct8M<|J}7CLSgh_`;MxBTW%DK31NBNs7`9hN0#Mi
zeX?DN_-LTt6)w~&YTwe(q7dJ(`X+1h&iCAl{8D-ANz3OnTQ`%dg*uKeWQHL-BF_Hi
z0LPa2YWAHR-7maw3w≷c)5mtK<_uJ}GIt#kOMX&cU)QNH7~Eh)o~FjUXO?9b5{Q
zBAfKHA|u{Ao+Q=gUyu5jMt*V2Uh23Q^BEepuMa}%5}6ueNxCb=Z8C+1=4O=;zWwIzGIL3AKYn8-pGn%Tl>3v
zMT&O4iL5?O^In)W@n(iW0xK>kra{b_&kjPxMJyhCS3+^!7zTGG(3Q^{M8u3dv|X-!
znDILypBQ%Xj=mrSyju}wODvjPe{a}%(!~nOiiEnvWmm^Rx5WXn5LC2WqG|%xzoBi~
zCWfy(=8D+N^T!QQKD9@Z9>lj&A1F!-}CR>g@zqqk&@`UF)4E81#$Xemy@`#
z#O$r7Ci7yE5f43AL3bMv!t{@E)?!~E%`BSn_k>|1Si;V1XZ~WeYD{&OpKO`-o{}G#
zL|aE#QDsBQ#h=c*F7$$DG>0A-Yd%Bnd3Z+W!5#UsHpab(%Zawr5N(*4MVn>#3GT_5
zY(G(u-+xODFJ=lr47)6e^RI4A<3^{!q^K7&uWuzDf)_;;*x&Y|AFVpI=UTXJt-2$O
z&nHgBKM2}M68|9$d;E4UJb@LG^&%_zK>L263*)TqL@!^$RJ!efosQiNF|8ESpZ=V5
zOlq$%9jFAGV8153zxC}>TKnI25)o1oBfm;?Qqd;eT=r$d#!-f+lEAV+B6;5d_-+7}
zWf=)#55kwGvusk@&G-DNeWCBlk18En{+Soh27q@!n!7=cxuoDp#m&e15_jlfh
z$qi&|2FC$mn65PZbaYpb`G4Gy#opYJ-Cay+>@*7-EW&+X91=4bALt9_7CFF<62}7j
zpnJJl!Y2dK!P0wrzyw&s+;2G@1<>M!Qv;?=yYY9<4w!i~v^Ft)4;)D~*AXF-|0mjs|?9gZmpcCQuayp`E_8
zp4cfC1ca7@GkG+Y-Mak$C9{w0l~
zwJpaHDu5?y7e3`&265t#92+KF^*i%y@k~r%rCIkbF{^@gSfv*5D!IQ$S>xF742Y&}
zHxoj+5A8nu&zCBzv6*7FP*-rb>>QWIdV;q#a?L^q&VS5oMs-Uq~u
z!~j&>QKe82Hb;^}J)m%MknHbj&RJzb(k_8+E92KApYl6(S{_j4v=8
zm`B2ld;E9NiGt0N9MK?Ak^y7Qyi{%kAz{0ckYIq=V>0KP8BN;&AG{f6I;t!0cW?p5
z;M9-BAwIXssqa)z|7c`+n@i*<_>I$cIcrw+Y6CjEn((!!UZu9yX-`&$(!YSJiqo0N
z%=iMVVyW?Bo@{mj(q5=j0v?-KVRRWAHYL;H-|K0i_B>)~^1WEem+
zd0;p~ZIDo_C5i=}F|FHxs&<``b5xONuOHRv-C9K8_F(y0S3l*bOFJtL3}6?G
zwht=q-0WW|+g+OhM(hz!7SBd|59TYW!oDK_wB!eYn9>PQ@u$-Vy=uLVh`A=k(%D*t
zL`piyi!>78^x9kQzvz9+&a|^-4i9!)NL`~m3`aYlLqD;n4g36u^3d>v6<@`nKUPoQ
zQuLBSC=5Z`$(LwBiI*=-`3j7(ug(4K5zj*NZYLe`>s{pgnRl&+Gvhl;W}WW%VqU7G
zC*8V{9npIf3rzPEnDq>LUwH#;PMwauX4I62fjO7de~>fLy}<%RVMd?~OUYALHE_6E
zP1mWNobVX(|#atT-}K8a=?(d
z0-F@M<~&)=up9mXuNrL%sA9WDgklkl%05fcI`H0ME=Fav&AI~w&pp63z64?h`>x?0
z^}y7_)0`K!0|mWom5
zG^f%s4ovc&Udj_<6mF)^0l9twYta|3EA2fj*TUZo^zxuU*E{V@ImAx(9ED5e(LbB}
zTp&QCamjIP+=W&Wr??)v2V0$JnrF~*chvvrZ!XO!Wg;r`vr&axAqkt>&{z3HW6}-x
zlF{G@B#G_1ZN>hZQHiw307)U}4LU(DU36e=xJE1(aI2CN{ArVl6=oR%!kqv5KqW&-
z_GHjBq<5*U27N{7&~ym@+1(>ywn^L3EWaf7`3KV{YFNf}M9Is|BBj2_;U^X761P>l
zRQo4c;9Dh9tJw6S5=%j82&oHXFvn6?qcOleis@Y7)=UEEdN7gl=
z^a3m58Vym!-u0F@tP24n{~MqvdJjGO&b)4Xkm}}y@q0EQ{t>(TPmv$48b_`w!PDJU
zX>%cB;#PbR-s)N<1Oyu#b;OTpU+g(b*+^Yz6i;~qr>DU@ut
z;|%|9&_4n4;$8xiP;Jv3!de$xy^sgpIcZNb1ZETfgL+rl0$Jdw2y%4~9oCQC=N|yapT&xI?&=3ENN?8KHLD{cR
zGo+Ym?IPMt;w33$nqwGglJA)1Y+vwS_8cbXi{i3Qncv|kVyNUTOh
zNE_Msanq#S-3hT*%v51J`8pZ66Gsc#$SjgNu(&SFm?h#EDZ@%>#B9SG31Y{#F0&OR
zKWLL?#5Bj7?4B50v4UO0-BcPyrxb_db3sx;t6c_7CB?ea*0|{9+M2d&8{B}y3FdE8
zLOF$HRf9ZuzS5|!Ptn)F6t>LXbHf#q9mUqu+fWgaT`G#+TRh>Ls?CKQ%Qm{%
z&3G80uwnYbnML`XDA70UV#{x$=T_P&`_Rva#>tP=$PGWdGaQ?rUTV8$RQNRi*y<$VgGCS
z4Lydx93|{*5=Fsafn;))Le$q=JjxbMCYJWF*_0C5dqe%x%asrprftc7e7JUXu-KQs
zj)%MioDmS65zL7b-xODCL3^-$l&00;tL{^+x=qp
zZ3({pQk-~e_RYa<_no`V&Ak<kJv4HlBo^f>RI5wV^1I?jr_g_4e&5O8pK(%lz
zg2PgnD*8uwN!FkLsDDm8mXx`Rbf^}jrdI5P4EY+y{wzWaaakBFOYa;=QVk^Z7bp^U
z@@A|?_QX$gicQ~$Qeh*Ff9*)1|b-mv4h_w6+9MF%nKFN7gv^G
z>SKojD#3u}kY6lwmp}XIBNSx@qzs_`dE~hB=KOgph!ImXt`vPmK*gX#(rVm8<_?hl
zislUQjxf+F8G>ER_Pfa?6Bu&_i{_)W)3muQGPTA_{&Olq%Y}N;$^jhkd6H7=S
zCPCYmBA{MX^DyY5SkTlWR;wsN5Vk4jt0qTpO`x_aP>lq|9TD_%c0e7)LJETMTvLOF
z!E1J)ODolMYP!`|WLtaOs
zeNNJL0W=tH8ic~39kt7@e>hK>6FA+ga02s(m)(?lF~B;L!gED)MJP|cT3NsW^Xyks
zO)$Gg`#1#(Tf%dUBfhqTR)OrdglJykCTlev0**Ow1t9AQw6BKYh9gBOuf%HP3l5@Y
z2fnl!!3M?&zOXCV}LTtnkWZOY5hH
zqy2u8QBm@aNAg=fvZj4fwNsXsja6p0Q>imk+CU+g0)aZVh`aovn5!M5OpCIa4U71{?j~qPG
zN+r$iXSB|{7dg4<3}XY$*dybx6(a;&9l=)pB*IJ(!3Z~Ip-ugS-J!bDU
zbumY#ygi1Iq+e9F(|+FEp`(_i&Z}`f6CePQEYjX&=vC@li4EvdWorehSb^%iKqpA~
zx9^UJ4&xuZU(-U{7SzbCGYEa-ebDY}-lCEQ6)=B!QF1zcw5j-#*3(ZBo3e_i@G-?13-LbmvG=Abz0(}Q0l0_}{UycsZdbA(4YntbMc
zn;kX0gvy9-b>LrZ{%Uyhh^KQ#l=C`tWL?P~dEKe((ZUa-lwJ_ZiVr2S-e^MYxjC}2
zOj*mreW~E5U^$Zz%J#r4n$xL2qkQcXf{KM6M;gj~atZ{7qg%bV#+eHn?n;7jP?z`^4ws~RIn!)CDB;DqLe+ZI_<@8J|eY+J@JbImLFbmwAbzh
zl+gz$OCa^ImkU!P@|VKTa0Ie6a`rwcAePc(P)7MJj-G=Yugjg#rh@jYLGIHk@^|!8
z%Sji%_{-ghk=yGC9fp9)W#Y%L_fhA!zt8yiyMY7Mf!NOUON76Vvo0R1awAo~x+1G&
z;NSxb7?7SV-Dbf$R5Yn#N~)Ey-A`PV)}7+ooub@_VkH(lO64!>e`O;V5~5ExOlQr;
zM4s72tyBPBQ^0r*^&SD~Aa)6ap?sP%re$^hhs>O-Zs=bioC3*Oc~MdTSwNsV5|I7{
zjF=g@ig^4wS%NG1Q0|+9*iIE*SJ&_ZD7G
z<$Oz%on5bjsXIpace`bZ|UXYL9g`YuV1jvS+FA
zlVF+KIgh8PqPDn98z8IpR&jOFd3f?x5i$(>g-SgjocvU6KoooN?KyCQyVTPb4tY{B
zdcK#eHZD*b{F=cSCG^(fd%+HlVdlQ?G*k6yc+pYOYv4KM$<;KeezbTf?9&&Y;z&T=v>>b6za77AWhvaR%8)>ZG
zZzRcXgHEl{>^^n)tj8%I&gC~|cHh3G1xy|KYy|rJ-R0d#l%DcBcI7qB2Js(i=afKmF#~c&hc)sn9<2E1iiyf5udZ^_}uZD}Zif?4cgz_P4xnCi_q0atHp-*FFRW)I_Rf
zYRq~aeboq(Ye@Z|Z0-0SRpLE@_Wc?&u=A4e`nf$9PMJ>M5wH~IIcP7F;I^%A_w?=T
zBa+KTU%ID1hcw2%=;%G&-lm#!ZZ+1f!Cm?8Hnq4ELli8`Nu^{N=|eB8B5$cKvF`~D5*r4i@q
z(Bc_S_v(jvg0s>dPE^bC?Uk}UpWSUoUsRVOk2FsQNKMUz-H@kD&4{a^UOYnrZGQ1#
zm8XVT&wt*gOc(g*vHQ>L_4_0Ts0~os7!+gxt8&%@BoUvyl{@>h46{$c1akZ=)qT%C
zOt+;U-MdDodc-p$h2WstHelPmGpnXxb@e9szv;lc8dNi++RViD`aW@^I@xf+{EKu{%Go_vXy({$5GM`c%H=Xp)kx|sqX+wt+
zxk+CaH8t2z#Z{6-1X#9ET(#+fk+h^zB)0?0`l&cp?MWSuc<}CDyJYaru`Gk#QT=e^p#_5US<7hY0WoF&{ytpFjbEATzYyVhc|S{B!KRGxSkw6g=Ab0DV7AC*
z|Kjg9Z9S%W6p(=sLAbgqF513s6P$!8X&9zy`yZls7{wc3>UcMnSTXR@uW9ZTJA#EGx-?_N|a^{(TT^bXM)Hgr)yeYA8j;v&`IIt~Yt;`VFsRBF4u;8EF7p)<^~-7Yog8^|#xNUQM$lOol?#UR5v{dEqy`
z&pr>I@cSq5#P;JZN;U`hP(^uO`5b)JiYirrp-gEZ4wR>>)Hd)?r6$iTNuF(~KA)Qak;}w6u$yj1K{p
zj7|T=b7i|;ND;L(X^yDF9zK?)`AT@4fX3Yo{480yqL+NG;cYaL#krD_6Tim_4kYK?
z?Ct)HZ$11syr$P?a{M@r+3%@1-&KAutO0Y6=t=3xDly~eq{J!7f$!#=7udvb4gjFN#qh`t@UJnm(El-Q?6B%S?WT20PRk+s8<8D1Cf@NdBE
zw?#gc$J=@EsF<-32g;N~$&-#YYLhSAmFAyq-dR$v-J=m1*rsX0S&&rP5Iw1bfc;$!
zuBVW@frPnX&U{XuuD9|{Mng`V2~vY873B8{nSJp$F(19HsV-ldTZTP}s&S*K*e39Q
z^?7Q=jlkfCt2`bM#C2))2W%WnU#xq#WZ$x&S8xwU4Xy
zn}6vci(31os?~*Y#iPz=%)WwN;rT52>7|Y~>9nU5)J`xmo4_T@sAGr3d268kao#wT
ziI-u~F5HE!te#QJm9*H|2Vt5BuMSv$W8
zcYW{ok4KOCaFFyR`+Sq5?xC~gg^_fGyT6!l4x39X%kI7p8`BzMwSDp8$mC;3$jUC>
zjb{#aqvhNw=V46$-;4$mmYTs^Q@Oj5WnOUB$HR3z3H1!k;1txOS^3h38tet@4e+P<
zl7iBdmg8}k$Q>?rl#Wcv61{kTdw)^AeeWh8b-N=>O9FPGEYDKQcNS7zCV?{H3Gvt3
zpi4$y5#uxBw>`KY$u-j@_k%RA2mUHrmao_e5?#cA6Nt6M+K(t=WEVV?5N`IA2d8n-
zaL+=qU6C91u3tcM>FWj#-SXvkR37!hN4dL8D`^D`=tsixgs7)h(0u?Y7|j16Mg=>D(!f$gv`+;>1d@gCA~oN&M@V;8h(YZ
zL7I4k4+MP|fZ`U35;kt2L+MxuUVAPpA5*}MnJIO-d8l=G@auy!Kg_&6K0ag9Cp)8*
z%p6WE%$uWc(gmv^myw_QO(JJ{k1XKSO|H4||9sP-n!nJxSCwP3%91(FLIVaHk$~`=
z=A{5J`4%s2(=)jeK0>ZvWtedP&Og;J$nas=p5p2E_xO6zeUmElUKc#W6oGu>ZDI3#~`IP34O9BITN<}i;&?H+~i|I{I!1)e-L
z85tEABK4K@jL49&%##%Yhz^phIJsGkLG(IyKVdjUrP24Ev6w|M9svz99r79zKHFp}
zdDJVw>VN#EVRo1xMJ7ldD-MXrwF5(m;&k*D7AN`sVd09q<~f}>`;1MJ>`1H3ClboC
zUTFZrBTz7QaNvZOtOzgLMA961ys4&P)6S2vjFZ|E$6RtN1wv%NpnF3|po!-XM96Fk
zF_8|DikUgYWM_?A
zOW9EQ+e507gk+AVE?rw!`GOFqAOOK{0s~FNp&VICj&$BC{}6$#97adRkuhr|3As?<
zLAFsa1Id-vVuyEl8NQh$z))<-h9S@5Y?Y6M)~*fQhjV7@&Vv*uS+GD_l%Kb1Z!~~o
z!tBwKIMPs-vd{!)nU{y?x|*wJzLRbFzVF1U4faFYBGPSxv;ze@J@_p6J
z??wzBak1&sdBp3Gt7rj=fHRJ+cS~--|2_*3_9FoilP{UAH?ra
z#C1IADPQn*aIXQbL~H^a6e1f)PwNr`cIM4+Ey8XQTyQaD|GrTDc~VmC`>>U$GMUW-
zv#q35U!4xGK}ToPS3+rY)F3r0S3DcF!jyKos;#>y{`()7d@?G@KE3JPVY`Kgfvnvq
zcDq-DUPnm8+iRJm#W%C0AAwiSr6sxV3bo#ywa)de@;Vk~*C4&duNgcLWgxI5fsiNo
zvc*n*+;H729Q=)>?4>a_RUmE9z$CEY_xSF2MA&JeB%f4`Y1Q;vwa?&7MC0w`+1eRc
zU+DsO_h$_&8ucj=`sj}h9iJ|0_GXL|5f1>FDgJ00U1o3-wT6upr%MI$B!Y!z&Mfrw
z6L_DwMvsBTiI50Nt0(VN?#>s7%rHigB;vTsci*a!;EJ#3rs3h@WjdxF_GrSMHnyf@
zu587u=M@iwzw_`xvNGo4aH~$dJpRt42v8p)^;*b~ACjyDL;?UrAR=MyJMwf(1sEz;
zcdRRn?P1EW0!Y3$pOsrd$~(Rj505WXmn+*EP|ZD8-XKAc;PA)cHv#w(Z%^5Wt1iBkJpMr;-yg*$5y6yY
z;k1n;aEUIqV?_TmzN*=`p>5LOFT$t?l8xV*Y6KlPRg^%mN{)8T!@GEDw=WX^IuR5L
zg%6Pu$=nl9^6!tixp?F4xev%`3&lo@nevOj{iH>=2A^AcxYwVKb@}OHF$r}eMK(jU
z=MnMc2Y({7F=E`nV;HkLOlU|i=K*yDra`7GH4X
zxf$#TACg`%9Oc3E^`U(zw#+RdtjQS>v?%%GfKJCoFxHB7KqA&G>p^V{xqR^@8n124
zkgO#AmS@OeJo3CyBD6WGx&oh8U%h$i?4DAiTL3(VDQSc^)5Rx)u#gtv?t^Hp9=@a!
zM%(Md;nb~j_0P}!CC0rB@3`k%8y7kmJ?{Z;D@&l8!hGlL5mdlV!J}omiaG
zi7taq<^>bR{%wYiO@q}ziVIcwv@<^U_+;5n@PGj^cv3}
zz@PnruV#^ut}0V&m=g=iY8+()mNG?vDJ356qN0WIvZUidR_P5<3Uc+HSb;a*XOn~((LrD8NM${C1(EzR1vLN(GX_?F
zvxYLN*W4qi0W6??cNu9f65YOiBZ}NQ`h|n4&#Ey@
zKgUlyBMR{EM8KC&4g1JwT0SWxwK9(NjvyiTmg$JX2gFp9*h^Wul)1aQOLxv193zB?d6nke@FK$%8TN?{VyUC0`fG*rQa6y^=?S)8>h*B1(cW|x$u5N
zS-G0ve>6v!yBD?}PA+D(&YN{HCHY_@ZBuOz7G@__LaT!*ZMq>T47p`Nmst}^RWRlE
z|8+0kMLWZ#abH+tYD3STf3H_aX^(Fo7;5hAFsL8lG1Z#HK%|M21Y8(d#(PuVc1qy~
zb52PU#pp|Y6Ps+jsMr~LKj((tf8V4Y^K?((j7PS#Xut7ntX78**78bbotIh0D-yQo
z48DrKu0T!5FeTl5P|~P9|KW*KSbu7R)Yn0)Dd<4n1G8e%$uKZ3mSEvCj2Z{rsr4#u
z=PZTFaV=P6pQ5|Jt4bJMh^Zpr1v2=y839S!CHy{>4fiEMxg^|ia~*$1%x*>V$vs-P
zRHh5w9Wbe(b|^f#bJNN%REAV`V)DK24lhKCD=3x8u<*SdQMkb?e5Uk+uYksN{dG9i
z0hc%US|_aqE`!mU%0D=qlTuuG@G3>dmk04B{c!QqZZmAk8&TO$ZDifGPWgT8m#P+9
zjW9mkfk#H%YLN1~QEG0c0t3NUctLX|`EQZXk=9bglHph8K;3Jl)#QdB%u|OR_MTx}
z^%5qu@6iyaBgSoUUBKuK0DtQTK7aY+2uU)DFP@A=-4D63Y;R?_&N@2u{@){fu$_iY
z4I$xErum`!+{33f9{e-_!FvIb9WG%E01wD{|92bXqYBXKH60|Cl%Rjg9<)3J_kI4X
z{lVqD*&?ih1SdHy9RC+Dg8b}U#!5Zr7ZqJ{n7nLr>
z{T&UD4Mwh=lvP|I$t+@FU-L2dLT^|mpnb#=dV3lnumn4SQct6jc#-6(26*hhXi~jG
z=U&{F&_>8KG1x6LXr(bXA7jG~QTxk-_*aI+ZVlk_I$e8a?<04!Mt?O;74+Y2hWqyq
zw`JA+gxul4$+{2Br}p|%UYRtg5E{awC;Av*cn7nO6@_0bFGzs{mU*Z`flRI)A-~QJ
zwyy}_9mxHAtL9ia@c)SHFyRD>BOHukLu&~evg*7bE6v`_U%Zz6)rXymxNz
z?JuvL#~lrO_NLf3`Mn&{uGIQ~=AxS@rVSF;5l1M#5#LNy>1Er!KNC%6IkG*L;q
z>+xF?Ca2?9QlHr{{Tq*@vOhXM!2s&qu5Iwx@d%jWYYIf28^V@I`>t?YQu6eUZ=kR8
zA!N49mHG=hN$9c?lQDiXjC>M=49+W19#IP0?+qpyU+X2HfXY~4jA;NBywaXFF_R{D
z@<(2#7Rfb806t9ms67`TIogZc!H$*rcsMWHPaKRY_V#pnS&=Q;nrc&g{BdK!|4R3U
zaiK?gN=X7>dddlM1>M9Ga>V6do^vM@#?cvfJeR7aO`rB9{SkHu;W?>k0TiHn2w&uk}KsmWY9Q@U)Y8N
z3S2jf)Jg|syco2dbRv~K7SNm`|m#~;)w@;J~orYGC?H8bY1Oh9v`J4
zQ%7<44&qa<5-W64@7ex{NJ)c$fo8~z1j)-ATd$zSDvXE7(*gcdS(|kL1O(34hIzvj
z!&*rOJ%^CDw$0~TIzjj-;>eqgTl#WMDghF_
zj@YaeeB*43e=%P5mm~=%Hrk&@N`E5?%}n_>M`B|A=~T?2r1(+gL)a?hEiu{6p?U6a
z1W8|73<#ZGASHvCbNK!}i2M@s
z;Lr<_hg0($2%vKg{4HB43TMSe>?LMZ31!%Ii$@}mS%9oP38(xodc;J}l%}0OfR%VN&Bp`S`Qaq-
z@MBSupBlhogsa`WV+NNm_$bUfA&EN~tTi6
z1-jR*-dQaVY8GT-$uf{4a=obBrqOOzEgp%a*{d{=MtT0%!y4v?3`q;cz2850iklpi
zB7*XLpXbR$Df!D+jgPPh@z{*teq{-#kZ?K9S?PEe<-0Jq8EK+l7@B4h4{avy8nI$@
zQKTw0k*0kDc!Dh$NL$LqcE`vdk;4xg_!kJDmJzW^UO2Wl0*KSlzN10YU|CpC*p5l=
zRfU~dqUt?3FYwm$%3Y^Uy`iGJ-DG@XTn6z@9VJv8yVtrhU6daHx5>o||onM;2P+ej+GG
z|B~F$H$;;{r~h-aAhJ{-O{xr@4b5^c>u#5Xlda56f4r>+lA516?GDMXv*VKVYvEd?tILPg(cmn9IqfjQ2qw2M$Vg
zBp#f~|5)F3>XBeYq$o(7V>P+Tx~H(XAgp+_%{FeVIOhmuyQ8rFz2K$wO;U%@?r!@N
z9L?F|+QE*P95p8BLypOHX|Utbj}R+KXYk7EnHnp72iySUNFjrwd=x>EdHT*-CEvf8
zkANUsbHo7ZhHsRAE~c|9+rUl^9WqbGR#wAOpO4zUlH|ZA@*+!#lFayzkc*!mKN>jv
z-|N$gVg0u-@9rK|!<^B{UcO_}?emy_;Z)SxIJCsxV-YZWf`Ft!K71Lc?fl4#CW__m
zTTd!k?b>Z>9)-OBQATu}G96HOIjYk1!W=iDTjR!UcTZ({kLaUm&ENv(4*<+Y^5+s
zCK=Y?Ei*G^@XoFo)dT=$q`Rwq1hqSdn{(G4H)xMa%X%fgCNi!sp9@;hX{>bhDbesC``m8f?asPc=;zhfr
z?*8H9<2IvL@*jduQU;3oqWG?0TNXFc1^G&Cazgg-;J$qEZ1RpoBhz-y=?syscX(Rt
z5hUnVsb+VM)*i=9XbJf0Mb@r1)%JuF^mxqr`$S3k6Junnh%Vwk-%RI5(N}-BoZzl*#WcWM38s~@%yJ#)^s$V`vQ@P(XMMrJWAQ1F
z4e`r|JZ%JIcw%rSDGTh4sAd|*;EsscnuK++L;!YtJdUscxmIEm>tvoZ&pFM_O$;}O
z_^^W(we~e-q$@(@K}T6Mq>>gi7I#EX3F_1Zu@7-KCfPECp&}q$A~Q2uf$e!AB6T%S
z+21^Q9NnO#^-sAY=~lMO40LZ}7=#RshG0SL9b)H?=xd4MikisiX*QS+w`Fpw=W_$e
zYEk5T=?(PPA9)k=C+;t09?!+acw=fHfXliHAtji9j3oxz&76k(sc?O}sxtgzf8b2s
zWMt7&tDeiaci1sx0x$ZIw|)Qs?Z)ItcxPwkBKL&ATM}cSGlk=)ia^S0<5pVH#3QFI
zvmqO7H&Aeh>G|xhp)tM1vL+IqXy_F#Hmq06T)TLeu0Ef9`oCF>1pJ8OLZXyzWB>(;
z*M@Guv~fR>Tl2`Q7o^d0%#W5LKpAsSu2j7$_drRW&rpeppFS!N6G6rmgqDIAN{y_~
zgUOQS=tHAaHLEL(vQy8!xVG
zDM0d&71rpp)=2w)1x`R^v!d3(A^D
zOZ{lso0YsqyXf0)-t4#@IUiPPH6s3EXI`yM$;C1MldWPTZ*I*$w`(T03l5Xhb0<_E
zd|+T-UYz*Ay2q*llWQMWRSzlE&3+IiM+<|<6#|pGZ?~%7R9%YydE((VQlhEOA5?T`
z;}UQ|?NeJZ*t>2Z{?e_AouX~H{?=^xx0ful9EB3N%^zhVpvQaOhK=~ZVMU$v8IC{<
za5}bm3)cGbYnKm*JlpN1LFAb2ilWg8d1Rmheyx5yl~*0=Z6*o8ofW*MZLTynE>$oz
zC(*hsi8nB+rqP8VoJM7((yz`6PFcLe+l^;i%MMH;4Ro4Z7AjLOHcNsVT_rPVdg#yv
zbpMP9%#ZX-(~q`6b5PtERzsv7F2Y4&;P&Ovw8lkc41WQgA=$Eft;w(3+UOT@r>!~G
zM(bt*`qpBpZ^=2o`pgq!Wgo5cBjoaLI~DzjH2?00>G|2}7Jb=O)LWCRJDuOk4b(yh
zYC+pCR|Fo)vDwM@^f}2GU?e+Vy}Xte`@Pa@F|%zgSAkLQmEf2(DIe9$qI-2s;I{MHLR7HW>5?R(lsksHt-LCc
z4l`BhgzNBlo7FW&fG=`s4S6)W^G`eWhort^fR_3~jdfbtr`4+=QSFGC!gsXxs`l$p
zxwijYy5mRFN77WOam@vjZScb#;`FBRoAqrUI-F-(fBAGzz`9Ob5t)uxV0iDC@Gb>t
z#IrQyujsZ%(T!cE-MSys^i@^8Z*;jew)fLdAkv`(C+vgj)+y`j4U-CiA8xo#UfF5C
z))1bUUKlQ7To3KD_vW`$^V|6+z`9Mrf9*eh3wbBn&GX~=z3I13
zA8y^_#KT$jrs&so{^~w;)3p-S?RB6pvnDqxz0U^cnE0_eQ-RnI?uy@Ar21?Blf1qV
zy~Ky@w`Ah`t(kC&Kkh^MUp04^C$V?#v~Gz<2x<4;JoI+vpOuwwx@~=Dxu*ZUYJ11OT>+qb+^Z!{
zFGUHw``2f8ZnP^KJy;!lTf@>sIkrB%53cPQ9J{W)mxPM#d_=s9>=5kW1zJ*pc}Ah+poUcD*0zjqFfy^TglA1wuZ@3`v3`4e1+D6Z<8?u;u#(eqOXJb)uIJs5_l0rM0oWZb
z`pI8Ay?Z}Q%wMgV%)Y{)2c3GR8rH#}_wZyO+I`8bYo{HpC9iu5hkPlHr+;@2|L**p
z9&=Fj;T6}Dm0~A7aMizGp7f-t1=ngZ4xTvkdSrO~A%c#`OC7tju>Vm3Bk>o1-S1kT
z>LY~9IhPQKUhR+={mH)nL)Lx&Q~AgL1HYWXImbFU_UPCv}!M<6gt6?1mKa5jyK;)h$P<
zE+Z>pGLr-=?SS
zrlxj#g#a|4YqEUei`HHYH$Ld*)GQf~b(|Y#^(IL0^ST{Bl`PLGe_$~o`bf1VD)Y5j
zkIRO+g5|q{ZEzl4*7-p6(SymRqH#Xw^SPt(cUV8gKdx;D%d?hQb5g6d_<)xew@{~#
z-K#wO%e%!P4})_@-%j()XS?QB_s^=g&E38~f0R=gN&oI;o`afXT^rNjz5HrIVEZ!d
zLR9U<5Z61aCiC!}o>R5tjyns){3o@CF<|J^Tor`ls9ebgW->;l6W8
zf6CGbeROwzR|n2e=25yIZ}kuxW&Rr5JIjxi#_xYUSiCesSa`KOarVyf$a9zHBHS{c
zA!Tv>Rbp)Qf_-1rVZP2VRQL1n$9T8%N=E+8Xrk`|0#8iDjd4D
zQg{E;L-pn`)s_HDpWP0b=csUZFnFDN)px^F?7
z|3|6qW~~lY@{~aA8nUNCe(EKt&k(gQ^mugbTKB}C$<-o3jQie-)jRG3i$T3;^crvT
z%kHr+pJ#@CuQQd#W9m>pl6*RDZ*CfIIPG_uPBq}8Cij2q+=!O(iNQR~XAOzks`S}t
zp<)aCwB@PQCRMR%bn|n2MWRf!qdFu3j-8{(mf-e*6BjTT*7Cd>h`}vhoeKpT#
zm#;HRN#&1T4HhwM+hca_?aVRx@3eWIZ}I0KE%&)huDiW#b-4YC+(OgJ*u0~EGc7Jz
z_*p)>wrBVG{)^m~pU0p)*>zvaYAbXfu+gq&o8-&94O(wwrg-*96sYYTWoHy9INEsZ
zwRvPb|DhA|@AK9Ek1xN<;FGyw-CwEq&9Bq%pC!2sOjd7Q&ZF>2?p@BKKH7g=wKe9t
z8-e(OSKpES`sKXtz?`Y7CUUP{>mXISU|)1;X#%w-x$pM3g_iLkp=Y7DF1ZLc(HT~;
zM?a?j17fbjh8#T{`ErO+-#qz!kXyB<`iMMW`DH44u6`=flsqPV>5X-5-m2P?Zv6JJ
z-#6dDyteX9)i+a)mN|Pq5ba(<|J1oeIPDSm@H>XKpD(eKc>OEn`=`W*C4rk``%ivK
z-M$*L9IjA!Y^uB7h@sqh>>2hDT|BxGaXZ*VZoeW~I7sFw_}QZCo2~-&daA2#SF}q-
z-ZVIQIn=qd)9pQokvWO8JXxiG7#8gFvV7$Hq^qzHg@FU=6HvUpaHi|&e)y?JV@Fc7
zVcS~v$>oX(sXvIxOaTA;#ihH|Z&(e3TKP`)@-GD{bvc~A@M@$`8nI!2>Q2V|e|0|Q
zR&M~mv?+&f#6JvvfzTrgCr|y{|4F;?ErR;*Ij)yj81(Mb*g*Zdsjj{o8p)@7{Q3PE
zjmL3>>c5vW5_F}fy_rYnAmr78a{%o$y`oEivtEWEX#v(aCSj{mr?+c{iKsNMjfJ=C
z#w32jWFcqf62^3xa=9X>+-O>owD*+V_7jnj7-dPew~OySUnT3tGT0Mmj4_uqBLAUO
zWJNKROtgk&5{=ocucWO7NCc>Sd2+h{Ao5R}Eu>
zs!#dX6i>odohyysG)Z0i@bl{{BVFU$yIl82_@Mk+7=feBw2$(Q$^SkspWe;Se6JMC
zU}L8%mL&6?C(CW?L()X`GtnF8(Zxp>Px80YRXIjL9UxnaYbkzl$2Glb`~2SxU+<;g
zUy?M>>3$EPomaqU;@+9$n)I0OQoRmB@~B>!R=5)a2t*^}DJ=(T7n#Tk5_0+|RdoqN
zHo=4;e%$r+*myxbW>_tp24&Kn$>)Z6#fC@8_X2QcJ=j^Cn`B=~kOuAGeAvcYA?A2D
zjH#3@1O%%T8lNf4H93V2#~o0LwMgZ5J6dlS_TU$r)q4R?czc>zgbJ`EdZNJ5hD6i!
z$%7ra*U`9ua(4RPrAXm8;y6rj7DBeZkbAAI^0&M1+Rm(~HP=5!{yv(d@n&Xe!WqTx
z*_z9|`YvjznvwDH+(sGiH?v+GC@#q?yt&P8!@xZB>{1+h+Xx?F4;ypNz1K?V2>iO=
zmsfdwERZ!4`m&ULRB9V0oLFi1%FJ*8!7q9>D*Rfw`lADT-Ild|EpJoAG5VJJt^)>0
zWR>PuVYE>axtB}ZevQEL&uS*gC4Xlr#j~T%=vraoOp7k-{)pJ6-Px0M^oysJ;zUh}
z(-QDo%ll((!?*9cl2Xh}V{j<4>aD!j0J@+VM_qx+e;f6FkiQo^DEX^qND6VobsP>BRGo=69N_!p`pY
z4!*M89<{v|Rpja?AV92`*}C^?_ML;dJVmGNQ88~I@rqhytVYlt!9;`Ovhwrf%%jx#
z@u%vd&e)(JCxSC=5d&m2l
z_DGph&O`OVv_}@Mg`SA0i=nh&D^TJMs$9XkBnZExt~<;k{XWt@a+D_EooS!TMh|IY
z3jO0^EtKx0Zwf-?hKRgo0aMagN?{}ju9Ee9jjn)!6+j-M191>TmF(@uX&)c~10PZy
zNy$R>j5c6OU>&+%
zjto|38Gpw=mpYU04L`FB#^32Af~p*z;86n9atHc!2&AD(=4)IGT`7;T06q={;Uje0
zP0RpTWBE`q`wb#56$Km1<4&cJUTP7JG}^9gkZ}vmvTPoFb=*
zoNi=@Ij1&}n*^J3H|wrDa$dthp7M5VO3=EK9Ia}fOTXBBOza=`{w<}kDK281XF`gg
zl<-k!uR@AXwXCD>+6r*pIGE#wXOIZ`>wz#XHs4H
z9MAW7UqNCrF-^-H+~VGU7sj`AJ#x#L$r8~l1bMV=Jf)MKV0Lr`I#y})%5wydJrbiT
z8=0rX8+Kd1EBUv|Vd{urC2rIsBZo-CV`S7F@jr1(<6K26
zIG!JV9#UzkA2+Qs&No(k1~~~@P+d2=qi6JprP--z>Zp>9){6@c%W$LY07C-F=g30)O9-&{ElqSV#z~Qm%H{FpGyu@fZG{pUgUHxOG#?
zNaDkSLhDg^3!KBnvZ}FM6Bfy4Dt7BQE>#fj@shLey1y+g%7jzsVWanQpzh4{IeB`%
zId5jqz52&u-nCW*W6w)~R)?$q?qz+~#xHZfBh}by**ae2`Nx*pW}iLU>re;pqtdoN
z>{JOm%uOP1hdp3J@IjjLHb*+*AfFDRXWP|kw#p2;v{&(r5Ol$cq(71~Rb_?2fTiGSmVcgewTG<4{?{G5LoPArl{?cem=cit`mVuv%a7E~25t@l>b#?CG{N?-
zOQN7!x$xv%qg?jnVxz);BEltQKMYRHeOP2F$e@1(P0?a0rGw(~XJ1~r4($1`K5DA*
zE}tm42iDaPI1372nlYfA@)Wor?e-+5Me13;uxNV@*jovr>%^dcbvMJp5Am#!e4ka9NkV
z3CMB%Y!?NMTH*8FHNm}NLCLdsv;T+6|EGEAbInzV^%q^yeSxk&#ojN^d3w`cXVZTl
zPFR-U>|Go7X7GsW*U(p5i8P612+DtUw$6KaZ#wCd3j3vxSRv~N?;Op53gc_LwiOR9
zzQy-ye6D?Q{ruqltAFi;)9!YtXuJuLkSE7NjPaik655Lq@SMpyBV{Qwr$9v!MJed;IV7f(6wr
zFBsMGRV;Y$(#8BR{oLL&fDQ?vzCe6|6GrS`u+Bex3=>-Lx4KSmCD$KyEH&w(WCk$?
zu<9nU>S!Xo8w~5l>-z#$dOD1Dw8t;Ap=3@Y0ISuY!?K6xAyH5hFBaZyl~0
z#PNqxt&u+Ui&n`V*qB0Xe9(7MjzxFlc{Z?I7JBvVeNb5}`ySqIfd&X6@TT{(NIeN%
zpg|nz3h(I^V+EK9{4Cvg_%e-rcfbA!6&q1c(2MX-ol7S10;TR1;nBaOs828TM6Mej
zN{LhQig6|isqzfwHVAUe^r;K!vr+o>+w~EOdR*rtP`x~ZG!?*ts}DNS$1?cjvDgzW
zO5CIAetn9b={8s}QOBa#z@9F?N^Vepw$CmC%92j7BN_tk5F^`1UfzA=M}}
z52h1p2smj&oQ$EqSdcHpr<4=o3xIV1a6@V6gmGL5K*$2Pam6q)7d7fNRtiw}#KIc*
zAGwVXIeJ*oRO}{HxCKpil^E)XSZZH@GlUA@pkiM!3HLNfDTRH?rDFA^h)tUqq>iKn
zjuMF`pT1~5O^47?u$&|+c!+8Kxf?8NLzA_^BykW3UwfS|Wrp7#{g@k*Z9tV|M^&t7
zRtdpo*^N=xjOHc+nTclk24g7M(WikxZkSmuVJz#+G(FHP+N-CLXOt)e`%l3<2W6J$
zW?mU(PKKDLMVWP?MhlKKtI{DT3J^a#{>sgy&MtJ{u$WIDZps@KM4C0`
zS%&VJvmTh`%$fis%a3-3Z=xp2c2r|LQ=yQaLCD0}xaH>A&^TdoBXR0R-dGx)S(=^6
z7dOL^vvG<=%3P`XCpya&l-2h{{rD*JdO9hh>y$8Q9Vb?A~TzV1y68}<%FVfqr^ie1s-VzuOKn30t3`Kf5tEi`jEV}^y*
zhE9d*GVi;kKO@f+$JfKgYV2%fpl{3UOy>eERHb{u$MfsyaLaG88fDtL9Ckp2Ixgas
zPQLcIf*nA4W#C$-Js!~2<_a--WOo$M)yJ)2Zb(`DV7C+iwoU?Hp~UD%;ICNYRZKuv
z4rb@O%0Ej|A$_s>3m3FE70zAFp-l5Qm!FOz1fH;8%H=;*5c~+PC@
zg8wgXSLy%rb`}0FZ&zLjAFp7O={DN5smCo#+i!6adTSz8$q$qjpH?wm_`lxnY$-iE
zlh4A4iY))Ti+wJoV{wv1f1c)Tt2uF->e>4L@piwE`Y=x{GPFLz-Qy5VA*K&%5en?Tt&x>f;!{KU{fhXl7-H}&p>^p2jeCp(DFJ7~b
z=ACzO>}d`s?RWb)FMld#=;9LciHT4M7P=iNsh>ku{aIky-F}!M%Kt@VVQFP!-GIfP
z{(5A)SF8ME+yCfab^ZFrohy0nW`(3X`5$lh#+#l;zgjjv)^Bj%==uBSHSM&%u^HNYZJlEJ;y!;qXeeP+FXhGZPqH
zOE5R<*dWS_#FwPGu|4s^h#7GTW!O!bY-I|JsjMeEhVO_x_pni&&bBYe7D_h-9c~po
zY>g~VH1EvX%n>L*DbdmY{$jhBfo+jgX!Ubjuq53fr|>E591JM3TvJ7+WX4JCMzY84
zkjg`hvIQzjT6cH#@)FKt`KxL@D{s|!JUZR2dzAURxUTy$LZG3KO)}s`^1MlPMUEpQMMq*=9eW}2Xm9KTKYP|Q}r=zRI%zP|99OJ0E*T3DJM
z+<35`yHn5_l=;U2A{%DD8)-rb+BGG0h+b|M9?+SrlFE??E)dhe-I*t`&*5075g4vj9;}-7H%b(=+eW5_O{CxgbWeBg<#d5z-089TR1Cj7y?rr_c=cF_u?RS!3
zvZkopdUEpO`;$SI1}igUk;o5*a^~1-AP(Zm9QpK{^~KF!j4q55bmRB_I|e{Qk7FPG
zx?IGA@nJeB2I>EvrP8=*iB||N*!+y#FF;^J&;Y!GINhEK@OVrJ?xQLk#vw~ZyRZV;
z90M+$EA|(D0|E*AGkia_42AAzn|Sm17gN!f7#wAJM6CSiV+fPi;OX=+QNYC~Bvg_F
z_S{YEo!$)E4fn=1H==KE+!zHKdM)2FVdz~2_L;>3kOB)mQAvOf2myoOu_|fn#FheAxU737C!-GH+s#|_u}w=aTEI0kiLeS|2b?OaBI6{8wsWHhruf;ms6vC5z}
z$_Q!;g_^3W#vuF;1nBAd2GO!bPt0M1GhCy(_s8Gsu)yc
z%*T;BT_sUv%%(Pbwduj6`DH?7=In+w*i~~cGU54yIU>(rpRE1b(i$Ku?jrSxU*JFo
z{Sd(NG0f27G{8t@7>GDQq3-$)ug~q|b0W2y@_&`Vj8)wVIE;{}JD0fE_`pqSv!U%}
zJjZIA5r<94uamhty%6DhNm2k8B{nm@6^(5GyV2^!NAekDmw#pUe;P2iztmXYYv6e!
zHkk?9xdZL;oQ8YC4{`a#>V
zfZ2fIBe~ji;TOpkc&^XnVVz1!G5qiZ&5eW!bF6hhd*Lm=6~*Rwze^UAOgvI0%xQ#S3P9d8PI_>arthn?vqPm2tFsWy
zPF9#bTxZedl9v%C#2d*YMxyy1iRsEP8v}hTrY~!lyt&hqokWHJvbu0>r+(&!QI|7`
zNP>Ia#nnMJ)-HH4ya6O>;`w!B4KtW=)0P>>yA9@z_%laazFZ4Q_;g^j(Jj!3>#Ws5
z3J^UQ02L5Grg#HlMTltDI;NjKP*#&pD2P*^u>c9>hbUXju8U=T9|=h~t95gvPN?q7
zN5h*8me(B^*(%8p@kEc8VmhnAvA0Q=&Hw;&en6q$HT4rE@iS;(*L1E+t{cANvRIZz
zv@n<*9y>(|a}<`{nawv9boYpV4h6cYfRXEx8;ENFWz6{#L4>C$$y%OiaxU>zt^Sa)
z>T?o(^rs)GSoEIDF;`|j^kx#|Q6|A?GFTysAa;=%hi&+s8O%N-vQk82>#N6D>Q0cb
zE6Nd(*ZX>l&RcdUQt9DkbwkCFpCbWR3}1d1eq#)35bVj!Ez|uWl;#co7|ex_*{AlUF>C*gU@`>$jZ4$tQ=gb@J^@uCBK?1G_1nh&$Mb73Yve$m
z^o!?+0_G=u+Oc9c;crLlTQC~H^-sQ@4=v4|H5~nu?WB!1k7Gn_7+Y9hlt+YK;kWp=
z$@CBpTsN&AV$Y*!ynEi#TVlT!B3WXCAPLT1IG-G
z?s;!uB%oUaDlddIAp3zl59%Y2pIhYPPpGu+W~a|bs-m>Jp)nVgvE#F!{F
zVeBloUmv>aBcp4cLmYKNUMLw{5T$M*5M6iN&6|)2B|)JqbMQ7!Fb2zu;nzH7QijE-
za!BCHkbF>HaXp9{HqJoS07ONji-c~ci&x-o_U+_B)~xNvbHoNLUCFaU~-!)-Gg
z0XQElJX;n~5<>f~4B2}g3*EkjtZ#93I>D{K#!7^GpXf0^Rw2^N>P3z4wX-uhP+~s6
z^(L@F9$d%~NcuVs`Zif4LJ)Bn4rw(u{xTf2SB^Azk^pK90zw|rq&)h`hN3_dc;Cva
zg27KHpb0UgECB8u07*1h3E&k9A{^W7_CQPzRaoPG~T#_$MP|r-{^8kShNfk-9}M>Bibg
zImLa{)wDcEBkL9t>U`nUF+Oomg0;vIHQvvH27Q~?#6K(F4wy+|UroG%rM?JmhykZv
z1e#o&IX%GBOd!~NAuggkNZTEH7fpRFgkZFT#2$;|o6>n3_40l)RV%3g4eq|=
z_&o@VPsR=#HFi9^NT-Zg@Ry2JCZai4zO65KQo8f5|?
z4zle+Hh_wh`}0R=h0NEn(K}3Y
z6K8;?;XyXsH_QnY9?DcSLb%lc%JqE?e;doBE6kz?yco^a@RYdYk$y!rYdXcm4|31>
zJOmmhuF|85G)97R4&dHsDmrUW<$ES{i#E*XMnR+&`>KLu6L^e3jiH3Oq!<2)%)irk
z0cv|II9_L)=W}ZaZt)2oj6mwI(Db2cqRF6(3@IC(FrK1&d?LopP*f$ZP@`QyI*h+Y
z38_x@fk;S>I;JkFGQIhn|5`VXUpP2U7O77bcL)iqIe1{*@K|8g^L#x$$Wh?EZOpT^
zE9`4}(qksrNT%FV45-~v)~J*P1L+ff0%fB4--$7AJuYS^HDBqJI~Y%<(bLlXKCh)w
zVWk)3fJG*hGt55Z9t2|*iw>4mvqO)Ss}RcFJfHklxa+-y)LtU@njmkTTT`PrAuoN9
zA=3ec?5HMqWvzV7@SJR?LHVwSWt6?Kq8U;h8{B7tGzMa8QAIhVTmzPjt;4r;9@PIsfEi^QB~nB3`O1`WY$GwxZvz|Z0XD?
zzJ8_k!C`kHMf6S6NGl&$G}Z^q^n_-qV$Y0cUm_pETJQZmg1J(JPR?{$4W)Zp{kh!h
z_Y%e|99eW>UL)^74xuPG5RDG5JF2BYG|-RpvB-)FVWN&Mya}h_$cq#Q7xv??nTi-!X^J|6o_j@feP%vo^KN#1
zF{@to=4syDhfIgQHq_af{7mg$Vs?68S}%K0hfvzWS7^$_qVFprQ`Av>{;ycM!(X6!
zX%u^H5R$}APdbaTu7}k%srA_gdhiKm)r1;k(FNH?gF!;CA)!7b>TA=`H$GK$ixCD?
zy+|q4&Cq8JOR`&KjaRlY4I3TYMG!~X3&aZypuqyNkiGz)aTAc}_lCzy8U?|_&P7j6;|0zg)%9IRu(
zjgarH@WP9qYZ4qMWg8<4ijsTGu)7LC?MYA{IP|`O_g+mA-N)(OKlT64L{)2^
zIe+mvje5c?RU+bTlSMGsKks7h{cSq4*URy<9%v}KmT9y#UNqm0bRv}u9l)~zV3`NA
zg8+0+Avq23Xn^K>T<~7EcI)$}ucKZ*@lm}T#
z)=*-hog7m%a)V`bz;g;cq4XOV9#He`rYT(zlC!rova@F3q(bkzW
zymunLK+RMCIyzWG9Z67ABt(fU?un%Fw8jwfYvUh=rOktK0H7I-M3PDXofJvQ(mDe4
z{C%_F#uU%^NS4&Zv4xFu7jyF8h5o-3PfXm2WC<~;7G}Z3^C6dXYlvHxIvxhpM9?Np
z!*GA+>G~k4=im@%BXx}hB9=m}uK%9H0lK&K79uwrLNJb}mua8#J#mx1VX+MQJ;U`j
zYJR*AVSdUK3~gsRweBP1rk*bv$n3QZIi
zd>0GRcE=&Qdi9{6XfX-jV1WNhZZ$n{=!bm4hUthTf%w+bi^7Fb(^3pfzh7Y_4~wp=
z-}RmB6?%n?s|ez{mT>6_#06>c{TB6hB*eKPh)V()*9IwCbO20-Or_u;>Kh@*
zxbyq{5dKy9y6T-jOyizpdoyOMqfI7TGEKf+e1Btn<}|vm@nH`nN1ED1mIgaD2H~%x
zY`568LbRqqw+*R#eil~!ey@js1*4HdQON%Aegh!5764>)Lhfdz2vS+-c}h^5>`eYr
z$ShF4;<-pJ-XsP^7>hygUq;@YhAe*#sLbC@e*pH_f|Lc)9#Z??Sb6V8E@~`+3NKUz
zjeG)8y#`Yu=36RLVY?H?Ut5gCMn2u^p;y$=pO@NSTk%N0t+DtUF?%&++nN*x<)^Vj
zPB~K`2Gby`6>8}aaIAGRqXhC!<+i3YQf&G#-V6Clq`v|{v`?E=__xC^p`6ZD2d@9y
zWAr#sKE3t$ON(C+)0LhrhXZJt7&VnLG89k`w+wS^pwc8Aa($z+aL0vO$2Q&X-tR#=
z0#MPsw2BZ!9X8a?{r&0Gx96e(SAu^ql-y>&-+`#<^;TKolbh)!wwhnG3}kC|*`W3f
zR963ixXGX=$&^aV6weSyK;3I-QIUN#?Oev}N%A(0e=PIB-p!<+Lx2eaH91S8&R)>LP-?l9r?S
zo^kb5h$)_U?@mVW=_ihZ=%+nO1@=74KX~tS8;@)wA3*JZTkawt)^mHP4YJ$tsa5j`
zO+y9b?J-inhKAr=~gQ4dlKt1C3s$>0$sKAA~eC
z#scUV1QK-(;!`E;8@&2()94iWh``B|@9QjRASWGYD1PgnDFK{BfZQQvW;qg^^Ml#8
z6=OnIgGA)A47RO`uRJ}`aVdpi%MA0iV!7;h?W*i+uMg$eR}UBHw7JwSFjH8Hya%Eu
zotcVsa6rVYo4}@L=4HoBjzQc|0xHQ!$v5Q~PGJOE0hIg*dr?L@(9Y3Za`TqwklN@2
z!>*T~C-K)5E?sm9e)!CkSr!`QyWE>>Dti?AiL-U{%X^=5+iJ}b2OmR8qX&|x5vMX9
zfIDY-?8lvCK7HzE8wA@Ywm)9bdDIU(hl?$h1K8gbzUyZZ-!~^6?bUyG+etbzgUF#F
z&v@|;-}wR)8`d%;?bbN%!U0XC0|<+TSEJ#xL4Z^&Pq1=%rdT*TPA7gKFes}}ue?F3
z6s>Bn)6bK5(62?!9|p#1<~6LxUM@b7t<9W;8Rg)qISHAV%PE^=!GiH;B1+Q;O!vIS
zOKSt+=Uz>w?{#MV#0rtclikdP?Uk4DKNpw*`C)+kl)!`9M@z(M5IKNwDlFR#+0pgH
zr~6gK7DN3YBK>n!#q`&6go7dV2W=isu+Zb8v!QE!KbZt(Nkac(bAegWE+C
zo!i9-K|6PMFy01&9y+BnTZa#Y{5g1VL;f#>m>z^<{3^;a^&3N&9h{PyS-u{K>oa|03~*>mU{
zbe&~z^Y1{o=&zpQuLGXKLt}4@xaTBX@KGvNE_g5-EdU&qjwSHviZ2ph`)qTyhN6#gV8z2*m0<-u*(m_XGmr`=Rg4toE(g08n45-
zxFz4Py6gzakTT#+NPmBxh>*BfJn6nO9pjHjDGcDd@#q8nU;Q6dbt|hc5o73DdAw-z
z$WP>=Rzt@UO&9H$leAIAbbu^auYH9E4FHz*9-e_jZ=<#s#<%YuS??{!StdB7Cu^MY
z7|1E3?xdCr&pj0ZPHb5?uLnivdX}2hQy|{MECsF${oIN#m@P<_f+j1QrcoUeSIfPN
zyz?f#(@jv=6pSh8rLWESOV0RY!$5oFh;mQmv@1HC>cnLlzxs>X^S4Y>htaj<)3)yI$jG+dll97J&v>UW{|?|
zxcPL!c(IYd;joA(W*aV_&7u2RTm{wrg(tBQV44+<;2!``?Pm~oK|u%VOYizBxlqu&
zA%w~Iyg|2?-oGb^==Tb^exE;8JX_^uBa(6b8Rjfp7)UguULHQH2r0f*U)-p$lI{F@
z(kL*$Df%oR^!(s%Q>>yBQIkz9AxH7dZ=Z9+0Fo`l4!kvjq3D=30XJ2NVKzpt*d^8T
z{mS6?n?@1bC5QzE&K#{@nLnS}c~UF+cA3&LR`^Zlg(Ux(z|g)NG(-8R2^ux=#Y~09j}JEkR=NXm~xM67}&zu4DY_;?LRXXPpW7(9
z>`3m%%AAqY1U6~-TmIYOaoSO`xY6}Z$k|K#Y;_22!}pDFyeq@mXKc
z>!`5#*J8)--Cl&0ocF$A50wU{sr%jP{^T_D-%5F`IyUci>J>!)23)(7s|m8}?OI9<
z`9s$nqm@tvb(-!`u+{`dV6xLq95~SYcN
zc=M3B`)^ytwzcg%VCKkzTKD2Z1sNSF1h|@9?IhbTsgEv37Wp9rYKqVsNF|M$ao0ZW
zRFJGJPT4x%R*WP+a>)nzVoaZ?C`+^;LoYl;UKl}F1tebiyoOYJUY*Rvt)Hi=+ltAG
z!^eBakTNvR1
zYE5(uKb-m&ERKJrx8+N$YXsG(SaQGb0G`wt8~ED!3^}Q<5f@_M+C7v&AQz2rhJF~y
zbT2JA92rf(aiie?N!x|gZ~q6vAEBEBK@rH8v~()c0wZGZOpw|0w(ZggCV$#i4>f2C}ZUive6ro|^E
zzji_5CpaY}h*}H_M#i)OK;0~XtU%P5i2uj*=4X8RJUV4U$Djqp>%%0lCRLW_(aAul
zisBzP97yP#g}n=V_HAHX`XRz70jKQ`{?8XYrk7SV00(_%-BrvATx>QurQ7c?`6`ew
zy~0w8dov49pBiYKz*_(AZh12Z|7!sIcQkU|t?@0lU^~$&GEK+G3@`61cc4hTDobZ7
z4-0SXgnM+{wPUN76(*KilvAwv=ceiZ@@X+)s;A|Y2l8Ln#Fu*MUVdqgx5lWaA=oWp
z|Bx&i8ZbZ(=Kp~U9|DzG(jvfl&&BT{6wJ*rdfh_yGo|JN#W@{EXNl6Ki1P`XA0xHP
zYDD*KX5m`3Gg_>Sa!mi@>RKQL36)TpwHS#Cq}Mb=4Pe>psV-9OVl_31EvcM8o9tV2
zMOL~Is;?Z$Os_?j9M3y(vlZ{n+Voiu!0!Hsuri!;mL3Yla7>Y?iXXG_4=Lw{jXVK?uUF)pHDj4{>
zrzE~oe)YxJFOwXJzufOntSe7+Lh}$h9&gB&>3$DT=t*{U8e&A
zNUuMW+{Pum%Sc&5r;o_yTZ&ixPAf3fyCkq|``fvxHuEvn2d3Hu;bK}j&c*L5aTW)J
z3su%ZCDwuHTDnOqyYh^>??VK{9zYVQJrYGj7{xCJg$Ekk<<#8hXAb?B<9S?%hDh>v
z^Y64Ucyv{s&xje#*t!0oRJgBDbF8VVaX{OkvmJAAxdvR0rBI_UGCuo*=*H7$Gq}dz
zRAV{CQ`km@-(va}vrSSU-kX_e!c|B`7z5?nM>@yo)A(KH8&>|WLe=b?nLqh?#90c1
z^<;%q>8$?=4l(OGWcb#pHR4YFK$;xLh@yCH8^sdVvUdv%!pviXmdn59NNqby)MjkC
z9eh5&^*VU2zX+KVkxO(XXGoL5dK_Ssxq1(JsCXL0=cIHYB43ywS4eF#PV=-!CCf;X
zE}CFz$#RhOBH^}81sPQrvQW|RzI@G{eApVRC*vS~LsFCe-NmfBUou~OoW(W=Z~+IW
zQqGs{;zbsE#C@rf76Ix5EVFeC=LzoN;Y?>c2%O5VsdF8`=HV#>!3(jd*c~}nATkx-
z)ILOCw>CS?$v?^0HctMeKm1r-u-bR7$8z=gm76{*ardD>RtW8t%eFbB3h5A#atJ=A~mqT$iI?fV&=Ns8*RQ8ndP3b1v1>4R5P&jO2T}Tz91RGqSp9
zx=+gxfV6)D=GI|xR+=z*Yj202TfxyW+|xHj{OSIoVPZNU4un^2wk04&Ea19PsV4}3
zm?S=*_!V}`V+*O>agF>tr&i_G2hSjWyF@`ONKOYNomH$#=69PXw!0h8f%46=7nEL^R4mv(Dt9d6Z2d8D
zc*?pS7E
zq3Vt6Tcm?p)qja@($_H6SWFJ~E$(uH9y;~{q{W~wj^&`*Z2XgCMnc3>vC1!94!g?p
zR6-*-1r-Z?Wst%JZcb8`n+9Dd=Xw55Q^hYEsH({AeO~>vdjbupaxZ3?mzdfbnfi%t
zC`ClR`)`~2cCpjmq8nI?93r#=_5%Yh@-USM9Etiu#KM>M_})Fl=FEn8`x%NiWLf!<
zDq2CAJK6@a#Iqn~ph}Ad?hE#G)E_;SZU7MHE0B4F{yC42p
z3<*Ysu;V$Pw<-yzFNIte2v<)a7Z$K41)|9Tfffl{AtC1gDV7Z^CV|BZx4TNZgU=&(
zYq`XOgauZOl16$Ce>C`1ASn|)i|p%7{EXA4tZ9ObEIzT@`d|RFAfv4U79vsbXtJL#
zwF44riB`pvppeE`&xTmOMyUG%m-9-D-T_|N8Z0(KDUCdofZ!vghP}L*sb>xk7k}hu
z0qXUc>DK(|BMud0tNghHnGkD;$j=$~`R@?0LH&nLO(S5T=Y5{Q6&0eV7&V(bByU%n
zS7(h-rzAxyrhP(C6Z>`d7m;%rn)_XK*;C*qqjt%vjh0B#aMp`7*nCChaMWW2zbuG<
zsP!-aG$&r)=3n`bf
z!1es-MU5IMS@NY{ONlR0IbW_|=ualHurcBh$BG8YyLkjg1yARbbpMFii2Z|Zn?gy1
zf#^FtGWN#BT<3uq;Wi7Qok|Kar+~%D0$5ockX0@8qHO$Vo%Tj(1hT9;WQ-h>mhk-9
z+M5NcQNEKHI3xGtEC()`ON_ou9tYYk^BQ~FKJRZRr+11(SQ@T?F>LQ{-%n7eTn%`o
zbL$Gx0gT0%Wb}NdNVd9b^ddkFz@wl)hq5oLVf_&woBiVVNA)7B-#3v9Z5#}vlCp4m
zC(wiCpHemQ$-Ow!dbq5PknlF|xu*E6ykDIR>>>Y6HV}DdQnc7rG?h-U!QicYw=(&X
z35fct_^h$x=Nk@JLWHbW2Dvqf{ZU_JPlGPpUoBbhobJI2YH&b()8BZUqE2Myp)cO#
zr(s_@z@DG=`OLNLEYCVp3QD{TP&4yn37hv_c)KEdYawL)7!NY>Z3qR-3ixyq;CHDf
zIOAyhu%`M*RHZ|@0fU`jSy8%#l#hrr%y2y;kMDVR-p&tEYn*8uwX{}`o*g1lu!
zv-oVKO@&RZ|FMKaoLSNQ;BUwUK*Gq*HzCmAZvfnwM?hE%Ct~Tj5rGFq2JH2^JM@Gd-?Wn#ogJm
zUL{_amkAS9F!1j2qP{A!p9(l#4+4nrW^6aQZFpcGdS>wOf_3lb;)2
zX+4u49MHKtfqBgbAVE6DsNX0XMj-3Nzh--^ip1(6_B4}qoo$1f^FO)OeAZ;Hv0$ci
zt;Ach6LRA`s7!^=nZwkY$hBcKJ=K9Yht!J{qYivW&c03q9g4v9EmoPt0vV;EuwqJ=
zD|>%_Qn&6=c=-4Dv5T?&-HAspQi{0!Sa3vvtYxH4MZuVg;2@)I(-YBp&ple!Qo
zYXp{plhj6;f(fQQPMhs}OP26hZt1mO2}S_TGg|F4yVU;h?we3Yt93ofu5c`uaiFg8
zQV?K0B6>mNrWj1D-=hw-^12W-o89x&cx`;C*1!I{_DcNwpEYic!{ZN(vxn!0=7y)m
zt_fjrY*`erbPYd3W?KJvS%*e+p%}h$b6}Y*HCMKh42@KW)*x_j^}!hWOEHYefP0lB
zk|8=Z?Z1@$ihfoJFD>Vigw|4!OryJ%GM&db=N6VAhxTC5sJtjChgTQAh!xIXqFkg_
z(*ja*c=N#_QKPWV^ON11&H}05Y)1N}LmSZzOds?pBWTVXxHLnIH783dH!0DC*3-9t
zj~esJo{CIga?xK$v&AXqd4TZ|b2^zPY9dBAkyNM=PAd1IcfdHt34+CP&DC7CX?kjF
zRZ*!D-I4IUg*9n);71z5GQBNl&rMfz8kNPjuw%+t^fF`Wd;hL+$S?%bIB?agkpsACAkxWY6nVM
z>+b6&E(MugPhkG*{A|VDjFS@%FqFCton*FSbA6ByOn12mI`3v>V~T^yNibJJn>OVG
z5h@R2BmMX}m(y)l;eqW6fNuv#Yo@>jniHI;qP=t-FLkN3`MTOPMaF}Z(L3pE)dOsa
z>|NtY?|fK>sc}m#_99j3Wrz&<(F*@CQ*$YWMH;?d(jB2DoTo;W;kjd?!@n
zoK71XxGm)Q}L`^1TB=lw(pR(a1vWTsU;5+GKW=P{nB-8``G%~?^CtLE6e)JtN+YFv%tC#@bN_WS0zuV?Ev;I8Cyq+I?vzq^wS;#y!-7(i9Ln|~`
zAc(`4IwE0-^cyX`8-6FSnGW$&M;6lkq*VuPLDU>NN+5l8qOa!+42XuiQf68j^pxT=
zMM0;<)vG1Rb&`xDt+YMIhrXw&k?U_5J@_OzZmzI3n(fH)4hK*o_?>qDZ~k*&)Mv7d0FWKt{8lFOf4*`uE@sFETWXVRb{q0E4WdreqB3%>0qvpyr1o1PV6lEj0x679
zT1GHjELsvW7pg-yI4(J~+*d#TZ0x89phVDYh6qw1Q4Uhx^vyMZd|!v+8)*sxS{qiN
z{)bOZrDJ*lDPxc{(h<9f`$Dl0q~;`zf`LUkbRhkvgkU^^uWn4oBr`NzXcnnV8P$si
zn+86Db^)U9J9}SxZZA4?&&k(=R_=o^?I3AIrW|2s@siL&xmc9^=UDd)C{2Q8z)2U{
z+>BEBu}JH41SUSUP~A3fodNpmeN`(J{2bIb0b)EyvM6)u%8MX1uXMaVE&dd(K9$yQ
z%6zq(H>5M73R-$9wu=b1v{5WGw-Ej~odl#4Y-rsMVCAz{PxkWI3tYrDwMW!i*;L_$
zP$)(@uV%7IHX`#
zC@-NOS?4uJw3>7NvuJ4dDz1@-_oAyI({=h4bqF46jV?CfOahVxPo~C-KB8_@5#=C2
zK-UMj>Hu)QG*=Eq%QG!)*584|Q!JFbz|s9V_cp;w90pDiBy9>&u+k0PqVfElKFCZB4|GX+y;OqsEzyoHF%
z+WH{O0w7iX!rDT{oIt;dh7^89Ds`uGL0rmKt@0KlnZnaQOFMvr{FV?d3A|~D1w@T&
zEkk8VAux+|F02<&LZu&W9>*b%Dgoa1Ej+3__*Y{vy**fNaA;p7UACR4P)GYgJ93OO
zPK7AbATRBZ=}Hp;mQ6#_lk|Z+K962v_TS-
z%K#cva%*Q8&7opjc(5vvg1dbAEvCFa6F&h`Dh!=S6DE%pn53P=cjB
zn65xczc-_#W43@}G2mPD@#*zFB9$s!?hF9+3Pu$yxY6ROK;{_|~LEGMCb+YA+6t
zF5_Zi=-M{@{-Vz|--Ghg#`~hkFlpZJOhGNQW(x&n*{&H$_ZRp0D!(`y(X|5#c4i{X
zs>y4#bIDZ14<)(Myr>u&0&*eJDwDLO22j9c0^g33et4FWzmH~W#SEU{tm?pQ%`VGW
zhNX5F{>>co5o-#;4N7`aMpufca}|+W)cu`^4T|$yFR7U>27W=ArcVT%uiA9;FFIwF
z<5-vpX2pY0F*Zn=#l$YY3=9u5{z1=mY2lkx#Rc>PdywJHxdIZ2;(`YOnM$TSb>d{8R+C@$?Cv3f
zAM_4=^Fg=f)z7(&X*TK+YaT0ht9iVK9RfmL3#18T>#tC!ype>3D8@3$nyg@dCp?xW
zi(%ZkW
z>UrRI(L6dO-9v_TuRT|}TdiFavXTjs{=rmqCagzXmis}I_XS}_naTioLFdim_VRrP
zZr~dMG#eE9)4Jbo$k$S?lo1nZwzjS|K8bs!({875mpM50jM|c}SNL>7_za|G-2hV`
z|A`1w8lVDBvQbiiF%OTV6WZ-2wmy1ew^*q>3BMD|{jhaSR?`RnE1s6kk+2`-Al%Nw-Hf^XGhRe^!w
zQ0dy`hvkvoe*KVtZ$Q7;Tf%m(hT;cBe#4WmT&J9Vq+}p0+BDSGWRfI(aX#h@2r#fP
zR}JSW3KfWdLT{)E5RFV}#jA32H0?pK{vcR!bn|^9O|b=v|2G!E5SvkuU0AL1nIB#N-&~fZoL?7=u9xY
zq4BvP6$Ue6&9c$QXG)753}y0d@SU`i0R~dZ4BKF)U-zaaM?`lb-~zu!t9Mw}Ch~2|
zFf@jW%8V5)*>OM!K-R)d!gWiViP&39Ta|=SDk1CH`Y?VIHc@Hi9jljWy!H2%14-+q
zs*F2Soi$};l#c)6fpy?_>ZV57mTQdSqZpXPQha+=7V-tIkVoi^n^|*=3rtt|Q5^+y
zLG7hsjD>#pR;{m|CoP!FeBlYd{^qNDee=q*it~NUBZ`Hnj~5DQsx2OWaxD=CsmKm<
zDR&E5i&G&8x|GE?yNadY1i}~Vm`0{)IwPyQeBd?{&tND_(e}z(SdR}Au+0vSZYntN
zuma}S7+vHmmcINWC$nl{noK>GX0t9qWYsG5SR04L2-o(cpG&D6zV+{nAULZHA!bxE
zx>IOnZ!lwMiKj5d{{S1GW-+&!GNxQyHzI*km9Ua;J)CpOl=hW-6WrvgJO{#12QH8;
zCJF_z69|!X5M+o)5=hI$!^L}r(z0RQE{1nj#bu@?=-768Gm7MPyLjvBR)y|OQ^Pci
z0@->T+stBuL^}4xlWzK?<~Hw9c$AHqe;9~*cZU9RO+tHuPd24ZcZ}nrcyHe@_Y8t%
zNRJZETO3;m4mp*RwFOAE6C5?w(1SEW)N4xANt9r4A;DzKck1*P1nJnV#J5=%=Ejj0
zr`*fMvc6lh<`(FRvlI1Vv}F3>z=`X@L5%NI%obzUBCTWiSyI&F1_MZ3*p5>>3#0&%
z*rfqEYR0to0-?2;eBq+Ynk7H&+keJ`SsxLk-wgKoA8F2~66=#9w@xUH$wh_bIp5_S
ze)&VAH&hwRuXtaXS~VSX)8f1c_iD0(?A*8&m4_Cz6lLu0S~+w$qvtiUrsS+?#bql}
z%z69G7{U`iW#Y%4uh*1q=o1r)PU#$3Ob65#LSF?hvhV9uuyCH4m96=v+IxUYXz
zDo17CsPRn?E9gL(Ro1GN!Wzg
z3;@ds(uv3-uTPdib}&92k}2kJ`i+mBz*0u~hf>WuO`6##!K}&e
zi#AY>@xBC8L#o3j!32lPI>%|xR;wjilbfV_Z>yL&=~yP->z$}0m1l!?6*9YY1rm8o
z#ct8Z%4NF>_t~e~o{)u{)nz4gQDNO&F<@A-5tJw3DTaek`d%STy@$H~M9keC)f;jX
zq&}7UTb70edb!k1X5AhKDS>O&zO2SEh&5UmBfT_v^C>l%f4qb_;mDi_;0Pi>=tino
zJGSd9?Dpe4SH;x19r&Eye<{aVA~~RjzZ-N@94&D0gA{F!CKaCAUHVO6>LEL-
zZJzw!q&mx>TuyfZth>lxdqqEL0TL5SVGiZ`VTpup
zS{zF0P!~{{ehYm=>p*QHXrt)S_%%c6x6Y7Aqva9J^Z8ENhOY6!BNq+AW_v46hE?Qx
zyxSCGP$tJBv%t=^A>(D)ZrAMUf=>12_W&kP5odUTn&U&Y0hf|<#_J}>Tl6XI)lecm
z2lzez#O}3GHpeL+ycIZFDxt@H1xUZ$5NJsgr&x34Z-Od~ZCxDx0}jwjofLqBaUr#C
zK6^8zo}~M%A#SUZ0+GNaU@=F(j{5mPMHL%6WUJ9SGgVME_sR8g>2}_bzMz|zp>S!U
zMohVV2F1{49odc4)dD+RGF@bY#SR!2HI}&zB!d{n$%{cxk1)`0Fcw%EOXa}JK(;e5
zS4>A{KWGokGvAZB{V1yE{p|B!1zibU6_Bn&I%=TBVpCxD$Eg=aGnz3q$;=Xpq%P21
zU*_`}%s2)>XnYZBX%MsY*&7W}jRdld`Ch5KM
zjo-TcPdOFyd4%fLe3*1jsexTCyVx#}$%ts0mIH>jLTiKpKU;BO42b@u=7rot}}K%)j-$p_$I-N*aPh!)n4UdZ7$6AA{tYT@U8gR?N$?XmEu3`>?!mx0>cF1_LXo!fpnU5_rM
z{Q2==(pK;6pp)ZOw!-0bu~5`uN`PXi54~$p;$YcbcJ=Ss5z>d!v_Gk8zsj6m{CHjT
z5P9nEm1p)_*^N6|tGKff)pat?0H?kz+=oa$<_k=MtVEk$*nSy}NfooHph_S3`F-j9
zvH!AtzpcE=j)}9}%rxj|Ogx~slt&ZIw7qwdjc?h)fn>;tsPbI}tnXAYr^0m7^^58$
z#G-W&5D%En;JYT$bLP$~B~Vyx5F!+GmZpxYojbCekeTaIcy4#sl0>$OM3>pVhv9RJEszO)(RaKCC`4+W_%@y`SkYUWQ=j48@J`o~jtF+q7$=DpdM
zVzxXVrS}+LLn4cxGbo?ZrS7$1VdChnpPfYyS=8djyEAd@FJ%-v0bG8Id%+@BK~J~1
z=+~zmMU@xJ#U`bn4*rXP#kO;-rb@3vQ@{YR(m4yW3dP;x^lPV}GELEJd!ugY3ypOm
z2BWSeG6~02;=HeZjgF&4cs;e6g6Y9`gHS2>K0O1skZFExQM=CfSNZxBMnS3
z>^KdU58|#YW2?3xr@}#q-cbzTnrtp>LP!^05F}*khw+Q#8}fJ6)8B1}JIty#S>9fP
zE8s>AzORk#~Gwd8o^}6;Hc{!MqPHjUgm`?2K3x6aUxi1lOPe)4p{=)p^;Urt6BySrwU_>VBEI!HPL4J7x`IFWDWGR
z*R(q0i#
zs)CU$zc1K7Dartah+g_tEg4karyyXk5{V!&z$-_D9Ei}dSV7)1FLa$AMM1(8~r
z_G9}Mm-WvDN(M@1=QP|;BNzEbyrp5A;!BB+`%2ge>8~S)uBjEnbQYT7K(a{O%ZYQ|
zhK=|z9`uwU<>h@-I55n=q!%Kt=QwcuZb89GJ2L|%V8?e^TH3a0_nn%oy<0S?jJZB#
zaV2%2befHw%)pCw?a8;gG=J)H=O5}#ld_gj$&(Xw?BbEi#9P7zgE@MeA$zs&t{3UC
z>R8S_xf|BCbq&Cvznum+2MGqV7&bE0HlcM*pi+a6G^N~q7$ZrF1m2H8RnYhSzWmniVxR>xqer#oYY17vGp|AkF$ar|^bNlV3LBC;cj%Ie4Mf&)?G0Ag%H0GtHiILl5b^!aHm2B$`|$t%
zemYU&-I@B`vWI?czYR&U{(j#1Ym}OQot)4>wb)C430Li-n`n+RYkHzz4NU;V
zIF6f~_1<8|O$yz?SIw|lQ#D3>ASYc1X4&LNl}Zf2Zu^U9a~eWL4>UMJdt!^qvef=l
zsWm0}EhCix4ju~!9EdKB_7bxMcH(=?J~k?`9iAG68A2L
z+`yt8o@)|A2>QVp<5F|Ei=r?hCdOYR9FoVip_+!}wzVR@9GW++_jPVj@zIi31!F3C
zat?7Ck*%Z{rjY3(6-*=f@?>Ip(%TGpvVWQTYx_2PBz1mN}BfOPG}jTx@mLDpz`K_{9n!hNnW)v}X$9_8^J40)6sq(f!0$
z%>{y%p#x4ABxS-yZZX6bxl*dZL`Axkqz2-f6|-t>vUAHYbTClUQrzEFF{IN7A49IJ
zmUTe$Jhcr{*DIE(l3QF!AqYsHmsQTg3Fs2-3<(AYKmowY;{D2qJ-{N-h5w%@=-t6;
zxvz{}_d8LaIY_?Y`GWx@c@Pl8$aE;S)s{HWoVR??+*lDzk$13B?&}OS)C*dk6s3@M
zH249RfZfehDPU;;MSjf|8TZVPGISuF%O%+b?=e{fI#nCa^+~Ob8d3wK)P`#oI9kb~
zOD0>ZWpN}JeUAwZH3x{_rHU&XP|}-7e6*U$C-u44(eGUKPEEV!eSpn#FVdsI^&I#%
z=T}SsYQ-O8Cat3ej`do?Z2C)Xp~U_GsG)qdPB5S;-E2&P9SA2aQb}uhGF2E>L&(nf
zqIeqz5pLnETZ@>oMkJj)_&RIbv_`Cjpj=VYFvIbf0pyMg-BKXzH$LVi_h&pA?|7XSwCrchk_o+
zG@YMT7|Rul;y?}aP?1@GKJr1D6EEc+bFq<@PFmM1~kmRo0_zHu?_
z=2g0+!vgsJ8$Rs>W3+mYGObmFI>!I|hiXP<7@O^(p*r)3)geSCJRuKyL|&`o;Em)UiaU
zGyD`5V1^6jsk6bP=8h>26Qx}?s}?^+B_#$@=8GLeP6aQzo~FjB%yB9S76o&_
zwW&slwqWswMR&VDdMxf+&my*GQShGn@xB!(3U4B>nCM2NuFOwQ
zzhmU%Vo0mhBAXz%8At43aBo{!@NO`~j{4D=A*Qw&I7~L^iXrL_=y3g=Jq^R2;D%Ww
zBr-N^tib6;uCQ!5TgJ*jJSH4^J
zzGbY8AAgrnJWfT#NX9%(JlQm+2MV@77tX%Km8M%jEQ6i1P2@w>T(H$7WVQL?WT)yYjjPZ`2?cLX-8I3eHqQXxLsHI*QQlsOwqe)(Oi#6#GMI-DZ6R2PJ5C2VKR-)^
zmFf5eR^yi_5?UlV9lp$6lH#n?kzyQmfsV?dJgPKD8-hZsrPBg`P#UO4@$JWu*BLM1frhITqi@d9bf>+-(y>6GYF`>>cC_0BD+H_adS1*#t#
z05oI#FYc(<$WlP4&)-RW*_ZwSuIe=c-Q{CW)v}Sq4Aav><845(cN)~C{QE6l*IbtD
zh|nGsr%FfFEba%Wujrmq-HXVn*~#KP>be24LMpcYsbhooD8thF;nSC^MC|_ETOn2r
z9Uc^)_r9Vtukte94ff2akbLIEsALS`_hz*AKp82Wh8-vnXfMZ70*@`nh|eyH&Ns+R
zN!+>};h+=fWb&)#^e@s&b4zuy=i!=LgD&KFtEr!;{Yi%1*F%V
zC*M>gJW{29Y$rKW7Ym$7E>8~U;ubEyf24nxDj}H^r8$(9%$s$Y?!x>rKpkj+feo!FP>a_
zX>04o$LUMvHz4eWPP>54ln9*HmOg*=)ztQYbpUFezMV
z*GLKE%0qSfsG2~I8N%y7~R7!6>ec^2D0S9
zq(DRRI|Y>(+p$k4Ft%`6-u$(f_LMGa@*cV~h6ZmlIGnS@V(?^cXP2DV<8ECI9cSb#
z-Q{W3f*K=9l->$l%|P>Vd^6b5f#alH(lpHjY7y|FiweE<5SoDkS>{I!eJ*
zzK}d%_@I8u`Wj{c*j;%2PMlo7QNSUC0NHPusO3BOQiU__1y4boyN_d!OjoFg-+Yjg
ztYSzTKXbyFzX(UIz>=vKQoz&u`AM}Fd`(`AIWA~fAO@?tO;~GO7b~;D2Ikqlm_y0t$zFr
zZPIXB6>Mnp#S#|b^3Xw@WwCK8+-worK$U%;#?r8P{`DpAM;f^$;7k?sd?E~Ep@ZbM
zQeF}yjnyiTox=^^$BBX#uZ26l^K|am^}9Ok_xF(3yG8N6G+c84E*qfuAA6|E&(>Z}
zK^-M6FyO1{5{&?2A1S(gQJljSNhpHH|HJ!#-!5CfnxBbO08_w|)q-rH?68+@P&<&X
zxLxWCq>-~MhqUYqXjJa1gBuBV2MmM$fWB_+W4h
zAMgcS!kcC<1AicSkc}bdVfDpjBxXqDQMrrvfXa9%VH(GD0|r0$WMdei13-K6apz%K
zW>}eTDmb}rG22quq}>c^U+&LS*q>(BnG-x%3eS--f^pkQp?jl!wDb!a)Y8^ORarJ@
zqI%jWzS!GHzN2Q6jZ<2iX`*@6d=?mbI?Pt?17`HiLiCY`nfDYr%K%>t@xD+rn#k4m4J_*`scDl8)@&W)?j27_DQH7kDtX&W&1%(0E2e{b$$abGA_4LbrL$_2d
zv$*J;)`YTgm7d9@pSiL`GH;zD2JlLs(WFhzR%hMHvnh0S
z5L-bg*RVeyiDmql%uGU{`AYPIG6{A%*YXSp@p}5iOl-u1WC1liI#{v1xotS|I=o-~
zRcc$hMkwu;{C2+|(7k41ZdOfq)(5tx8mMQmUAcM?rTzfttW^_~TO0m|E%B;xR9a{Ug5%ey4=N1@5rA+I@-O(nq!z$tbY3PONHF-&dsEUO
zmUqn4;JEDTvvO0dBBwwGz}HpHb{VgP04UnYS(8XF_jSEUv%X71g|iLqu{FD&#Jjrz
zrXIO^Zsh^zsCB?ZxWU!%>g)6a0v;UTIg<<3E};Z^Y6)vx5v2@W=qclzVBCNVAu|Pf
z2XL;rVO~r$BU^Z+sNPQTlg~?>kCcUU+z|<@Zl`*C1@u#oQAf=QgO=USciVtI42^kn
zx45f-a%7o0+1|2w(|+#~6Bk(-rwUjmBM%1ApFooVNK1^Y4D8q=-
zg6I-ql!)?giSB;n2>=Rb!5H+bIE!SyQ596LoXlMai;iXtDXai=`6~gE(-?LHl3qd+
zdxul7!N{VfbR{OO2>0-oqeyAC0UMNJqt90R(|(X;Q5^%xK1LsC2mKAEiCa_o==4~Y
znleb-Q_BrUQA62EK$5P77r3<-!bnqL2i||fVxL^0KHNamqELVyY^tfpQP*gMa>9gb!kyCcXR9WVpMGutk7b&GQnOZI
zAMy&wjhI*=IBVK0sTsm|vq4DL_H^ukh{4c=1n`=89!&_|{~W}T0W-yLD}zI*Y3?J7?l=OI}*s8f(J$t=OST
zJ|-sCxeG>zHxuCd?zuxKuA#O}L2L-)2UFfGyzra1KsMEF5bG;!xe7#4J~kzBu5U=j
zXcoKz&HmbA4SBd3;;?D(*Z{6_Jv0Zq<1i9@LGkL=?sL3+!kM4og}HW?X(3ZGCN={j
zBwgZ?xk%l8#U_wIgtU$&`cDP`Xo@p*sBbYf!anU5^&ykN$CPpeH$`Rod{BWB2NEV_
za8N+Tww83urGmcM4gz8w2(=UDI9Dh`A7xRKYG9+Z3Y;_b5{pqJ4+@9*v@C999m~VR
zwp#3VspQIykJ(;++sji%LR#egW(|P;G~GEOU9JV-VuuYIee#x}ltTXBbi76N7)aJp
zapmkQ(n2Y)e
zlWvVf@n|il<|$4;_FW0C*F9XzhlVhxNw_%3WmHWq+W`1lIe=^VQ+|rrFUG1$S234@
zF@1v!h>RIC_E`a?IIt>OW!Km1f$GIxf1{EH&WlCx{=4K_YBzo0b$!U=aa5*}4M;2q
z-={c7QUVCoV#>mKH=7Cp>Ojbz=6L*yChB0f6X7&Lehd7hcgmq@oZ
zeceg@cDt~1HgtSgbIsy(JA4HnCn<9moGkqrg3S#!)Um3~hq|t1bKg}M$86jDI-<7n
z;>V4pdZ`^7X#~*LOOsHz02b6tc>G4QE-WWZ3b+~ly4^O&YYtm62)axJ#9V%wg46f?
zl$Xv0@9j;1>Vbf~*t})ABQFgp2~Vr{J{m9wS3~0SDR8weK)`9dt(+{xok|5e%#X7_
zs-3jLsn;dRdDqrHzK<5abk9F#W8)$u{QBm*;TOT0pQtH?L}22})6l)Khc1aTF5f>v
zP!(ZB%w#Jz5DGMqdV?K5ub3uj{EmPw4asm~Gt^A08)EPxw{I{kg*vi>iV+#P;G3`W
z^*!~OmUl+>OdZ{mcziY7&CBMUm)hQ`--P{79U4TZwk|0OB&@6YNRB64g5Kls?g1%!
z;X9ML=XrbodCw0E}-#^{c%Srt17NWV(_IV^6M#9i93#^6JA{d5Hu`
zD>QCosp<{up;4%~I$PP$C`*kJCiarXLTmKD}|m
zQn)@c+rAXlthaCj5w+HFrY`sUjO^{Yya7?Uj5{APDysbJXWqJ+)wK+O80rUnMSxl7
z-%Le&w4WG6itT=-{q~KsKXGgoF$;K=8Rg5%FE0=Fh-5PLdF1NI`gaed()y8!A7tuA
zhn1G~hv)8*!uC~9Kr_1?DuX31$MnI^9P%mZEWWt$x*Sz%9(Cbg}iWIcRsw=7lCM50ls3+K?C8{_g4h%J7
z66&~2ut?F7O%dP}6>>=x7N`$D$$<*FmS9o9=qvceYeen;-T^@+H_xOpLXaSgejL+<
zlF71+|BlALy@OKj#`{pvqbktDvHvLei*;w6DeeO8D})_hVMr9oKqvo=VnD+H=#jXP
z!?CdSThIi3x5!(F1O`}H9}7%&^HHFIlZ=XRU;fse|S$CErl{7uuzgGt><
z;;2}WZ*F?HqO(vmvc`E&mQBd9Sg1b`nbHm|vlLBf2mJ&1A6wj^dQDKh=T7DlBk~$^
z?{%Xhzb8)g$pp+D&}5y_VSvS_jj#qzfPO|ywV1nejt30pgN9oB2OIVK*{Nv)ZfXov
z$nvD}gTdU_HU-(=;=Qov811H$?Z<-w&_4aWx;E&mY*bJB$+X)tHe3%d4OWeTdjbZo
z92nCd?n!_(TBB}$#~0ZYNDQ%0T}W=SWo#sUI~1W#(E
zgk*^r!0xOSY7G@Hu`?ge>4Z%LABa6?RtT$ms)H)Yl|$#)akQdU)CfE~00niL!c`;&
zv1g0zH8N3hM`N?t?o_Drl#q7&Wd@Fw)_Y;Ka;PIf+`-Uot8wB4-4Rcy{ur#%>3d4&|sl_?6kq
zPqNYS?4)ct^6yUrms-Vt`?eG}^8v&%#y*JFK&YwOWd
zKlgtSOWN!~C54%N^ER8eMLBmL-50vE>v6X7k7sD!>#M)ygv|Nsb1rh8UJ>?km&dk`
zM!hXPo}>r7VXua;$5hb*ei9j(2M}9+;=B3Ur_uo`b`g7)Tk27
zE6lbF7g$_}gU*0m((VrDhMc6m`x(!@L{1n+7pze$a;&5wW?YfhCC#?Y4*k4Ofse#p
z?e@0i*l=W75gYUPlwmwKNO?s3#`l~X9|JPKFV|$3UH>WG4pL~6s%`-vZ-*n)8s4Gv
zn%hM;+Utg!l#A*MU23I&waeaXLp7dzZ_pvEV0c95>l_30nFf`x8^qjB!sQF41|1p-
zoyr@Xp7EUq*RMaYyBUSOvgaOqO8km=^G%Yl5dFTnhU=QnZZ3c>MNp`{wYGz(_<|
zL=Gx`O?KSU&J8W-<5V}&d&&73(<=&9E#Pp`$pC57Q40c7z;X{Kva)`HI?$3NI?j<$(z(&)-G?7y+f8&sC
zi$ub;E6-1g2K9W4+vOR%)9W?g$^PcDYD&YdJka@>vT@IgK}(u=7JtmVwMna^@y;&6
z@m$yC#22CD&vp*b=ha5XQM3*6z31GfB>My-d!W7hW-ug83s3NMT>Qk(VRlOfbVDc4
zKK
ziI!ZIrvpIBP`+<y;_
zkAHl64DGlv_@~Nstts>FP+I0#R%+VAKNAQS70K!eiTqpbqmR_*?>CHEF+K%8piD~B
zZp%pkAGN2(N*(%;(?Pja-BF_-t0(T=BOCtJq#l^2J|8PJm=LQTHIko_BknRk%GCHX
zV%OXz(LwvRaJjQ{XU55~{16JQlRv3%f3+~@39|J`xBcv3-J=Vs_2p$V{jZ-q)6^o5
z&14W~LXM(53Pf4igVo|dYCihT^=B=vPi2XN@6l!#&{q~M
z$5&EoR_2~H$Im7n;N90jN69`ZjO+6Bn$XmI+Un@l4qiZlXcw;RdVXo%)9%IB>gnL9
zz+%T;^R0E17n;pF;}!4mDB}gPrm%#MobjC&wSA!)){=HK7v)%ODKW5cv?liY!qZ#f
zEsw}gdzHstT&*74xp7;kx;vi>&wKIU%!`(E&V)ob>&n8<_sYTdU$v^6jI1ms{e4!1
zo)5l0eOzhoM|IGm<1=aHq~EPe|41ytJD%scOe5r$r4n9tNxV{%Ow;j0i~c2VO!inu
zqYsC_4mm#XsC3EQcLhhJ#lR=Ezc0&t>d))-N>N&o>0at<(S-T6Ur~q&&wdphh4KWT
zX)Z=?e&t2?#xr(%SyxSHeZWtRc%A9>a@0l7+3wl4S&gzAYyaCAS%)(HFzWFVAHKfY
zTRF>4oaCK-ajIYd{SwXoBnVAg6(PP9$>zQK+3^5n
z0RNH|6Zy6@OZ`V!{PW3hlMR_<4ujDuVK9RN-TXdjO1h8Ix
zC!e;e^bpVnX}bVy(Ra;nnS8i)_vaUFzxS;Aiss@C-2-1DUf;%4
zZd*z6nxEz^y(Oc!ckucTw?&!DG^MYW`&R3H7ovV{LqKhjtS{aVHIJM?DLljn9n!bc
z{|XO)rv~!J6d(6@J!7M_%=J(QCq5^(emnlLvzAx4asE7Q{ek98Q_5+5R8uC}KJt3Z$I%gi5Ue%ODpmU#@mplt
zJ=X&2qW?SipWnz=Kij0_&OGj_OO4r9CI}|qj0qMtc;951UmqN6R{uBVeIMi%B}OFZ
z+ufIcq>KJ$U-`ZD3o)kbc@;n!Isa&T`VMH0vE2EDyz$?ISKS30X}~O3e}d`|Kpaq7Ep=j}65yVjATua1P)L
z8cpX#f`0z277V&wm#npOls@_HS-$0P&2F!f_eZ+p-i+60&twUuWMk5K;&+*Zvv4wMj@u!grfIyw=8mV*+-@z*e?30e
z5%SSt-(~->#?TSN*`G-*E-iIPNwJ#XH?H}YTbC{G8{djvo2)-{Ee5;n_uOFrO^3WM
zL#xjZ{2M@~?1*zCSn#W|D+PD=h3xwH=JB;-yVSpB%HKOv_Im@vAc`9*CrD|750*mZ%dZFeTHN?ggHBZzI
zh2$IUjQ?60oxZ|w<_nc|?oIAvPV;e{?&Qp`UOx*{3U!nc+cC4Hnr1DUDsLbXUitqS
z4?hhEDE?{?a3%FI4Oeu3#;ak*LUy`zpz<~Wec!QB&-b+E*D*}>#%*%%gZoXilOiUO
zj=_$-H&tyU_-*`@_oq&fj_5ppYO)K!{RqrU^0BK{ZEj3|ingzBZgx45@AWzlu6gnH
z1rQ^?R>Q6A^eVGJlR^4YA98=`+MP;lTw-}xHfwzF?y}6)QbxMfn`VT#y<|V
zf4@_D=)vaF{p?e@{cU6)|EPb&HEZ*r#(VuivWT!JCq|5JoH$w$3J|n_e!2^=Hm#AfE
zI&*$B@bB*vYy0BFqQkRC#1zL-COeMj{uK-6Pz#G6tQ)s7jZ>U^aHc$nl`7-2Hvwco
zx%#TBrLFMEh>GOdK>4RHvJ&YX~N-vW(Wt
zcIfldeWk69nKmusQpfmx721=23c;kajQ~WO-*08tQX?h%W
z&c0@~>DsXROR>89es}sQ>;e}xekyQatJEru-0rOIN2hi2CU!QL4)$|!q7EmL^^+%)Bu$qP%F&*}J;m|#7V|f2
zKG{V_9=KivyO1dMwoUL~)Dq+8_PX|lf}`IiyhoyDZ(>94+pV(vMZDd1e?9DYXc%%R
zpB8F(_{qpYPmN1Qj6#LNdKAuM^fIHFoX>R|T!|>W@V2y2@2N&@qUTVaamibkfgL$n
z@6Up&?|-gP%R-t0-xU$$XOv{@Pmf*+(5!?+2YwU{%*Y^ZGZD9{PS%liEKG_{olhwh
zske41^<25S*)nQnp4f15%IJ)S$1$kLK8hRtOX1t8b&(t2E*09TlJ?YVT!8tgIq243
z16I8F!PskK+Pg{r?4EX3_nAqNzEEGj{noBu7EOPV8ie=-wLzz4{`4MgK
zi25xf6>^!a4|%iVe*%jJbotDtS$!$hglY>GdscFtjTupAj;&sNhRLTS>9j;itpzQpzJJO@mr_^1l40j97_s(T<5J@C3cjVm3+1yhZM@K8fuj#>KLwixiu?#%!I{!W*GJr%~dSHn%(?nf)xJ%
z&U2=7o$Y*QJm*=@d#(>g`TS=<2U^fQgoHpIF=#{+G!cmqL?QsNh(#}=5s9YsD^>9g
zaLi&6q1XlhO7Vz8S6b9Nj$TAp
zef>db2xJoOxCSKNQHfBrqZGaVb+Z$A3_eW49NlOG0NkO9S*!yRi*R{xP_`vLZ2i$Uno&+Qc4S-1q
z{Ld*!fk0GX1&0Vh1>IG6#as0tjLtyg6d%Y5PCyWkTU_MFssI2gP=N_pAm#rS$bba^
z;PMMtAm%d%Kn5}}a-6eDN>Y*?LkRHmpC3TzIVXCcU<4y6tpETpfB^tl;B+*wpy@D(
zI@KS5x1wjAOh|_j0+j9uumj)@V9!A+#%^{;+<_4+h=AU-{`M3hO#ydnfFv4nhdcD4
z4>`y?BjhKLp2J=6^x65`4N&(!+<_pBz(zS7(FXuv0~?Q5I|cv{_`zqMIi}=67k~Zp;(E_3o)M9k1S3*`jaNv!|6_#2y94>VJo>Xg1w@Mlm^&B|
zIs||LM*sjuKtBQ`hyqkQ8pr_fTR;zt3*m#23SfalV1Yg`K^D-!6Vy8sM1ux+z7LE+
zw0NPS2|)z7K?DGR23UbZ0023|!5ox9A&iUsi2x%603-YwB_seI%$v)*JO(hr{24+j
zHVs;DL{W
zL`}pAIGjWkXaGfIL=_msO)SNdki;v*fHA~?61YM~G(}jf2uZX{KZhT!!2w^YDC3PT*VT&0czYvftW=Z
z0LBI=0YT)(X0*myT*O8s$5=E*hWkZq^Z<@i$5Ld+6mZ3J6vbSWM@^*1N&Lo2l*U)o
zM^iLMKxD;q6v%n>MH#pOIt)i`M974EMn?R@KwL(MghYnxMm|KwV4TK_+{8niL~x9O
z8#sY{{K!I_#ZQdJ83;&}Bt&ZjM;Y*dmwZHiRQ$(-9{6%v8Xb3`KbS%)q=#TC~i_Bu&=yMz3r|
zmsCyQi$fP^Nq_9fxr9x@v&(ZlORdCB)@zU%AOc{-03sj)-&8L
ze9r|uPx=JDHptI5h=Vv-12l*P9AE=Bc!T?7y%IQ35+DJJtbhb9P}V~l7cqbdu)Gd*
g(7~%51t@?5FaQOBK@0s*5H+jCsn8IWjDP?DJA~{^I{*Lx

literal 0
HcmV?d00001


From 64e0c329c7b41485ce0cef67746f58aff12618ed Mon Sep 17 00:00:00 2001
From: han16nah 
Date: Fri, 25 Aug 2023 11:57:37 +0200
Subject: [PATCH 06/10] rename gif

---
 img/{example_16.gif => example16.gif} | Bin
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename img/{example_16.gif => example16.gif} (100%)

diff --git a/img/example_16.gif b/img/example16.gif
similarity index 100%
rename from img/example_16.gif
rename to img/example16.gif

From 87380b51d67cd39690fa230096ed1d36ffe63838 Mon Sep 17 00:00:00 2001
From: han16nah 
Date: Fri, 25 Aug 2023 12:04:49 +0200
Subject: [PATCH 07/10] rename survey and scene files, extend notebook with
 explanations, improve plots

---
 .../tree1_a.xml => dyn/tree1_dyn.xml}         | 9108 ++++++++---------
 data/scenes/dyn/tree1_static.xml              | 2214 ++++
 .../tls_tree1_a.xml => dyn/tls_tree1_dyn.xml} |    2 +-
 data/surveys/dyn/tls_tree1_static.xml         |   32 +
 example_notebooks/16_tree_dynamic.ipynb       |  364 +-
 5 files changed, 7051 insertions(+), 4669 deletions(-)
 rename data/scenes/{movingtrees/tree1_a.xml => dyn/tree1_dyn.xml} (63%)
 create mode 100644 data/scenes/dyn/tree1_static.xml
 rename data/surveys/{movingtrees_tls/tls_tree1_a.xml => dyn/tls_tree1_dyn.xml} (91%)
 create mode 100644 data/surveys/dyn/tls_tree1_static.xml

diff --git a/data/scenes/movingtrees/tree1_a.xml b/data/scenes/dyn/tree1_dyn.xml
similarity index 63%
rename from data/scenes/movingtrees/tree1_a.xml
rename to data/scenes/dyn/tree1_dyn.xml
index 5c73f9c2f..4f6a504c6 100644
--- a/data/scenes/movingtrees/tree1_a.xml
+++ b/data/scenes/dyn/tree1_dyn.xml
@@ -5,163 +5,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -169,163 +169,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -333,163 +333,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -497,163 +497,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -661,163 +661,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -825,163 +825,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -989,163 +989,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -1153,163 +1153,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -1317,163 +1317,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -1481,163 +1481,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -1645,163 +1645,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -1809,163 +1809,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -1973,163 +1973,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -2137,163 +2137,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -2301,163 +2301,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -2465,163 +2465,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -2629,163 +2629,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -2793,163 +2793,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -2957,163 +2957,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -3121,163 +3121,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -3285,163 +3285,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -3449,163 +3449,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -3613,163 +3613,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -3777,163 +3777,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -3941,163 +3941,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -4105,163 +4105,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -4269,163 +4269,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -4433,163 +4433,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -4597,163 +4597,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -4761,163 +4761,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -4925,163 +4925,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -5089,163 +5089,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -5253,163 +5253,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -5417,163 +5417,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -5581,163 +5581,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -5745,163 +5745,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -5909,163 +5909,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -6073,163 +6073,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -6237,163 +6237,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -6401,163 +6401,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -6565,163 +6565,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -6729,163 +6729,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -6893,163 +6893,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -7057,163 +7057,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -7221,163 +7221,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -7385,163 +7385,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -7549,163 +7549,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -7713,163 +7713,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -7877,163 +7877,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -8041,163 +8041,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -8205,163 +8205,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -8369,163 +8369,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -8533,163 +8533,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -8697,163 +8697,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -8861,163 +8861,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -9025,163 +9025,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -9189,163 +9189,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -9353,163 +9353,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -9517,163 +9517,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -9681,163 +9681,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -9845,163 +9845,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -10009,163 +10009,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -10173,163 +10173,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -10337,163 +10337,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -10501,163 +10501,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -10665,163 +10665,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -10829,163 +10829,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -10993,163 +10993,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -11157,163 +11157,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -11321,163 +11321,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -11485,163 +11485,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -11649,163 +11649,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -11813,163 +11813,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -11977,163 +11977,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -12141,163 +12141,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -12305,163 +12305,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -12469,163 +12469,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -12633,163 +12633,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -12797,163 +12797,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -12961,163 +12961,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -13125,163 +13125,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -13289,163 +13289,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -13453,163 +13453,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -13617,163 +13617,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -13781,163 +13781,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -13945,163 +13945,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -14109,163 +14109,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -14273,163 +14273,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -14437,163 +14437,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -14601,163 +14601,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -14765,163 +14765,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -14929,163 +14929,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -15093,163 +15093,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -15257,163 +15257,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -15421,163 +15421,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -15585,163 +15585,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -15749,163 +15749,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -15913,163 +15913,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -16077,163 +16077,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -16241,163 +16241,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -16405,163 +16405,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -16569,163 +16569,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -16733,163 +16733,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -16897,163 +16897,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -17061,163 +17061,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -17225,163 +17225,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -17389,163 +17389,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -17553,163 +17553,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -17717,163 +17717,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -17881,163 +17881,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -18045,163 +18045,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -18209,163 +18209,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -18373,163 +18373,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -18537,163 +18537,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -18701,163 +18701,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -18865,163 +18865,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -19029,163 +19029,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -19193,163 +19193,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -19357,163 +19357,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -19521,163 +19521,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -19685,163 +19685,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -19849,163 +19849,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -20013,163 +20013,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -20177,163 +20177,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -20341,163 +20341,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -20505,163 +20505,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -20669,163 +20669,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -20833,163 +20833,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -20997,163 +20997,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -21161,163 +21161,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -21325,163 +21325,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -21489,163 +21489,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -21653,163 +21653,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -21817,163 +21817,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -21981,163 +21981,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -22145,163 +22145,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -22309,163 +22309,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -22473,163 +22473,163 @@
         
         
             
-                
+                
                 
             
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
             
-              
+              
               
             
             
@@ -22637,7 +22637,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22645,7 +22645,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22653,7 +22653,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22661,7 +22661,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22669,7 +22669,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22677,7 +22677,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22685,7 +22685,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22693,7 +22693,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22701,7 +22701,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22709,7 +22709,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22717,7 +22717,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22725,7 +22725,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22733,7 +22733,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22741,7 +22741,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22749,7 +22749,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22757,7 +22757,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22765,7 +22765,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22773,7 +22773,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22781,7 +22781,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22789,7 +22789,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22797,7 +22797,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22805,7 +22805,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22813,7 +22813,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22821,7 +22821,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22829,7 +22829,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22837,7 +22837,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22845,7 +22845,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22853,7 +22853,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22861,7 +22861,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22869,7 +22869,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22877,7 +22877,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22885,7 +22885,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22893,7 +22893,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22901,7 +22901,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22909,7 +22909,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22917,7 +22917,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22925,7 +22925,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22933,7 +22933,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22941,7 +22941,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22949,7 +22949,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22957,7 +22957,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22965,7 +22965,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22973,7 +22973,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22981,7 +22981,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22989,7 +22989,7 @@
         
         
             
-                
+                
                 
             
             
@@ -22997,7 +22997,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23005,7 +23005,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23013,7 +23013,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23021,7 +23021,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23029,7 +23029,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23037,7 +23037,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23045,7 +23045,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23053,7 +23053,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23061,7 +23061,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23069,7 +23069,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23077,7 +23077,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23085,7 +23085,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23093,7 +23093,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23101,7 +23101,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23109,7 +23109,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23117,7 +23117,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23125,7 +23125,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23133,7 +23133,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23141,7 +23141,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23149,7 +23149,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23157,7 +23157,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23165,7 +23165,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23173,7 +23173,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23181,7 +23181,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23189,7 +23189,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23197,7 +23197,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23205,7 +23205,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23213,7 +23213,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23221,7 +23221,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23229,7 +23229,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23237,7 +23237,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23245,7 +23245,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23253,7 +23253,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23261,7 +23261,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23269,7 +23269,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23277,7 +23277,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23285,7 +23285,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23293,7 +23293,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23301,7 +23301,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23309,7 +23309,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23317,7 +23317,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23325,7 +23325,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23333,7 +23333,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23341,7 +23341,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23349,7 +23349,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23357,7 +23357,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23365,7 +23365,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23373,7 +23373,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23381,7 +23381,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23389,7 +23389,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23397,7 +23397,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23405,7 +23405,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23413,7 +23413,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23421,7 +23421,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23429,7 +23429,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23437,7 +23437,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23445,7 +23445,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23453,7 +23453,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23461,7 +23461,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23469,7 +23469,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23477,7 +23477,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23485,7 +23485,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23493,7 +23493,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23501,7 +23501,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23509,7 +23509,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23517,7 +23517,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23525,7 +23525,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23533,7 +23533,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23541,7 +23541,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23549,7 +23549,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23557,7 +23557,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23565,7 +23565,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23573,7 +23573,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23581,7 +23581,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23589,7 +23589,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23597,7 +23597,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23605,7 +23605,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23613,7 +23613,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23621,7 +23621,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23629,7 +23629,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23637,7 +23637,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23645,7 +23645,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23653,7 +23653,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23661,7 +23661,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23669,7 +23669,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23677,7 +23677,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23685,7 +23685,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23693,7 +23693,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23701,7 +23701,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23709,7 +23709,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23717,7 +23717,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23725,7 +23725,7 @@
         
         
             
-                
+                
                 
             
             
@@ -23733,7 +23733,7 @@
         
         
             
-                
+                
                 
             
             
diff --git a/data/scenes/dyn/tree1_static.xml b/data/scenes/dyn/tree1_static.xml
new file mode 100644
index 000000000..daf3fae61
--- /dev/null
+++ b/data/scenes/dyn/tree1_static.xml
@@ -0,0 +1,2214 @@
+
+
+    
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+        
+            
+                
+                
+            
+            
+            
+        
+    
+
\ No newline at end of file
diff --git a/data/surveys/movingtrees_tls/tls_tree1_a.xml b/data/surveys/dyn/tls_tree1_dyn.xml
similarity index 91%
rename from data/surveys/movingtrees_tls/tls_tree1_a.xml
rename to data/surveys/dyn/tls_tree1_dyn.xml
index 0c1e02e8f..f0ce19ab5 100644
--- a/data/surveys/movingtrees_tls/tls_tree1_a.xml
+++ b/data/surveys/dyn/tls_tree1_dyn.xml
@@ -1,7 +1,7 @@
 
     
         
-        
+        
             
             
             
diff --git a/data/surveys/dyn/tls_tree1_static.xml b/data/surveys/dyn/tls_tree1_static.xml
new file mode 100644
index 000000000..79e66b1fe
--- /dev/null
+++ b/data/surveys/dyn/tls_tree1_static.xml
@@ -0,0 +1,32 @@
+
+    
+        
+        
+            
+            
+            
+        
+        
+            
+            
+        
+        
+            
+            
+        
+        
+            
+            
+        
+        
+            
+            
+        
+        
+            
+            
+        
+        
+        
+    
+    
\ No newline at end of file
diff --git a/example_notebooks/16_tree_dynamic.ipynb b/example_notebooks/16_tree_dynamic.ipynb
index f5f383346..6a37d79db 100644
--- a/example_notebooks/16_tree_dynamic.ipynb
+++ b/example_notebooks/16_tree_dynamic.ipynb
@@ -45,14 +45,94 @@
     "## Scene\n",
     "\n",
     "The scene was generated in [Blender](https://www.blender.org/) using three add-ons:\n",
-    "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were separated \"By Loose Parts\" to obtain each leaf separately.\n",
-    "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g, Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles x, y and z will be sampled at each time step.\n",
+    "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were separated \"By Loose Parts\". This way, each leaf can be moved individually.\n",
+    "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g., Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles $X$, $Y$ and $Z$ will be sampled at each time step. In this case, half of the leaves are moving with an oscillation frequency of 6 and a rotation angle normal distribution $N(0°, 16°)$ for $X$ and  $N(0°, 4°)$ for $Y$ and $Z$.\n",
     "- [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h): This add-on allows exporting dynamic Blender scenes (i.e., scenes with rigid motions) to HELIOS++ sceneparts and scenes. It considers translations and rotations.\n",
     "\n",
+    "This is what the Blender animation looks like:\n",
+    "![moving_tree](https://github.com/3dgeo-heidelberg/helios/blob/dev/img/example16.gif?raw=true \"moving_tree\")\n",
+    "\n",
     "Finally, further modifications were made:\n",
-    "- A wavefront material template library (MTL) was assigned, which contains `helios_spectra` and `helios_classification` for the different materials (leaf and wood) to assign realistic reflectance values and to create an automatic classification of the output point cloud.\n",
+    "- A wavefront material template library (MTL) was assigned (`leafwood.mtl`), which contains `helios_spectra` and `helios_classification` for the different materials (`Leaves` and `TrunksAndBranches`) to assign realistic reflectance values and to create an automatic classification of the output point cloud.\n",
+    "\n",
+    "The exported dynamic scene is very large, but you can have a look [here](https://github.com/3dgeo-heidelberg/helios/blob/dev/data/scenes/movingtrees/tree10_a.xml). Let's have a look at how the sceneparts are configured."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Static Scene Parts\n",
+    "\n",
+    "For the static sceneparts, we simply load the 3D models from the corresponding OBJ files. For completeness, we also set the \"up axis\" to \"z\", which is also the HELIOS++ default.\n",
     "\n",
-    "The exported scene is very large, but you can have a look [here](https://github.com/3dgeo-heidelberg/helios/blob/dev/data/scenes/movingtrees/tree10_a.xml)."
+    "```XML\n",
+    "\n",
+    "    \n",
+    "        \n",
+    "        \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "\n",
+    "\n",
+    "    \n",
+    "        \n",
+    "        \n",
+    "    \n",
+    "    \n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dynamic Scene Parts\n",
+    "\n",
+    "The dynamic sceneparts are much more complex. After loading the 3D model from a file, we are applying a sequence of rigid motions.\n",
+    "\n",
+    "```XML\n",
+    "\n",
+    "    \n",
+    "        \n",
+    "        \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "\n",
+    "....\n",
+    "\n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "\n",
+    "```\n",
+    "\n",
+    "Within a rigid motion (`dmotion`), different motions can be combined. HELIOS++ supports translation, rotation, reflection, glide plane, helical motion and rotational symmetry (see [Dynamic scenes](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes)). The [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h) Blender add-on support translation and rotation, which can be seen in the XML syntax above.\n",
+    "\n",
+    "Rotations are provided as `axis`-`angle` rotations, with angles in degrees. In addition a rotation center can be provided using the `center` parameter. The `autoCRS` parameter is used to automatically translate the rotation center to the internal reference system of the simulation.\n",
+    "\n",
+    "Using the parameters `id` and `next`, individual rigid motions can be chained together. The `loop` parameter determines how often each motion is executed. If no `next` ID is provided, the motion sequence is determined. In our case, we want to create a never ending loop, so we define the first motion as `next` in the last motion and set the rotation so that the leaf is back at its original orientation."
    ]
   },
   {
@@ -420,7 +500,7 @@
        ".output_html .vm { color: #19177C } /* Name.Variable.Magic */\n",
        ".output_html .il { color: #666666 } /* Literal.Number.Integer.Long */
<document>\n",
        "        <scannerSettings id="tls" active="true" pulseFreq_hz="600000" verticalResolution_deg="0.04" horizontalResolution_deg="0.04" />\n",
-       "        <survey name="tls_tree1_a" platform="data/platforms.xml#tripod" scanner="data/scanners_tls.xml#riegl_vz400" scene="data/scenes/movingtrees/tree1_a.xml#tree1">\n",
+       "        <survey name="tls_tree1_dyn" platform="data/platforms.xml#tripod" scanner="data/scanners_tls.xml#riegl_vz400" scene="data/scenes/dyn/tree1_dyn.xml#tree1">\n",
        "            <leg>\n",
        "            <platformSettings x="3.0000" y="0.0000" z="0" onGround="true" />\n",
        "            <scannerSettings template="tls" headRotateStart_deg="45.0000" headRotateStop_deg="135.0000" trajectoryTimeInterval_s="0.05" />\n",
@@ -454,7 +534,7 @@
        "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
        "\\PY{n+nt}{\\PYZlt{}document}\\PY{n+nt}{\\PYZgt{}}\n",
        "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{active=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreq\\PYZus{}hz=}\\PY{l+s}{\\PYZdq{}600000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{verticalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{horizontalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}survey}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}tls\\PYZus{}tree1\\PYZus{}a\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{platform=}\\PY{l+s}{\\PYZdq{}data/platforms.xml\\PYZsh{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanner=}\\PY{l+s}{\\PYZdq{}data/scanners\\PYZus{}tls.xml\\PYZsh{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scene=}\\PY{l+s}{\\PYZdq{}data/scenes/movingtrees/tree1\\PYZus{}a.xml\\PYZsh{}tree1\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}survey}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}tls\\PYZus{}tree1\\PYZus{}dyn\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{platform=}\\PY{l+s}{\\PYZdq{}data/platforms.xml\\PYZsh{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanner=}\\PY{l+s}{\\PYZdq{}data/scanners\\PYZus{}tls.xml\\PYZsh{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scene=}\\PY{l+s}{\\PYZdq{}data/scenes/dyn/tree1\\PYZus{}dyn.xml\\PYZsh{}tree1\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
        "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
        "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
        "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
@@ -487,7 +567,7 @@
       "text/plain": [
        "\n",
        "        \n",
-       "        \n",
+       "        \n",
        "            \n",
        "            \n",
        "            \n",
@@ -523,16 +603,17 @@
     }
    ],
    "source": [
-    "Code(display_xml('data/surveys/movingtrees_tls/tls_tree1_a.xml'), language='XML')"
+    "Code(display_xml('data/surveys/dyn/tls_tree1_dyn.xml'), language='XML')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Running the Simulation\n",
+    "## Running the Simulations\n",
     "\n",
-    "Let's run the simulation. This will take considerably longer than for static scenes.\n"
+    "Let's run the simulation. Just for comparison, we are also running a simulation of a static version of the same scene.\n",
+    "The simulation of the dynamic scene will take considerably longer than the one with the static scene."
    ]
   },
   {
@@ -541,19 +622,30 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!\"run/helios\" data/surveys/movingtrees_tls/tls_tree10_a.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
+    "#!\"run/helios\" data/surveys/dyn/tls_tree1_dyn.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# !\"run/helios\" data/surveys/dyn/tls_tree1_static.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Loading the Simulated Point Cloud"
+    "## Loading the Simulated Point Clouds\n",
+    "\n",
+    "We are loading the simulated point clouds and their attributed with [laspy](https://laspy.readthedocs.io/en/latest/) to `numpy` arrays and merge the individual scan positions."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T14:57:56.500130Z",
@@ -570,7 +662,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_pc(path, pt_src_id):\n",
+    "    las = laspy.read(path)\n",
+    "    pc = np.array([las.x, las.y, las.z]).T\n",
+    "    object_id = las['hitObjectId']\n",
+    "    classification = las['classification']\n",
+    "    pt_src_id = np.repeat(pt_src_id, pc.shape[0])\n",
+    "\n",
+    "    return pc, object_id, classification, pt_src_id"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T15:53:36.006928Z",
@@ -582,71 +690,79 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Loading points from output/tls_tree1_a/2023-08-24_22-37-26\n"
+      "Loading points from output/tls_tree1_dyn/2023-08-24_23-38-25\n",
+      "Merging files\n"
      ]
     }
    ],
    "source": [
-    "output_path = find_playback_dir('data/surveys/movingtrees_tls/tls_tree1_a.xml')\n",
+    "# Dynamic point cloud\n",
+    "output_path = find_playback_dir('data/surveys/dyn/tls_tree1_dyn.xml')\n",
     "\n",
     "print('Loading points from', Path(output_path).relative_to(helios_path).as_posix())\n",
     "\n",
-    "def read_pc(path, pt_src_id):\n",
-    "    las = laspy.read(path)\n",
-    "    pc = np.array([las.x, las.y, las.z]).T\n",
-    "    object_id = las['hitObjectId']\n",
-    "    gps_time = las['gps_time']\n",
-    "    classification = las['classification']\n",
-    "    pt_src_id = np.repeat(pt_src_id, pc.shape[0])\n",
+    "pc_1, object_id_1, classification_1, pt_src_id_1 = read_pc(Path(output_path) / 'leg000_points.laz', 1)\n",
+    "pc_2, object_id_2, classification_2, pt_src_id_2 = read_pc(Path(output_path) / 'leg001_points.laz', 2)\n",
+    "pc_3, object_id_3, classification_3, pt_src_id_3 = read_pc(Path(output_path) / 'leg002_points.laz', 3)\n",
+    "pc_4, object_id_4, classification_4, pt_src_id_4 = read_pc(Path(output_path) / 'leg003_points.laz', 4)\n",
+    "pc_5, object_id_5, classification_5, pt_src_id_5 = read_pc(Path(output_path) / 'leg004_points.laz', 5)\n",
+    "pc_6, object_id_6, classification_6, pt_src_id_6 = read_pc(Path(output_path) / 'leg005_points.laz', 6)\n",
     "\n",
-    "    return pc, object_id, gps_time, classification, pt_src_id\n",
+    "print('Merging files')\n",
     "\n",
-    "pc_1, object_id_1, gps_time_1, classification_1, pt_src_id_1 = read_pc(Path(output_path) / 'leg000_points.laz', 1)\n",
-    "pc_2, object_id_2, gps_time_2, classification_2, pt_src_id_2 = read_pc(Path(output_path) / 'leg001_points.laz', 2)\n",
-    "pc_3, object_id_3, gps_time_3, classification_3, pt_src_id_3 = read_pc(Path(output_path) / 'leg002_points.laz', 3)\n",
-    "pc_4, object_id_4, gps_time_4, classification_4, pt_src_id_4 = read_pc(Path(output_path) / 'leg003_points.laz', 4)\n",
-    "pc_5, object_id_5, gps_time_5, classification_5, pt_src_id_5 = read_pc(Path(output_path) / 'leg004_points.laz', 5)\n",
-    "pc_6, object_id_6, gps_time_6, classification_6, pt_src_id_6 = read_pc(Path(output_path) / 'leg005_points.laz', 6)"
+    "pc = np.vstack((pc_1, pc_2, pc_3, pc_4, pc_5, pc_6))\n",
+    "object_id = np.hstack((object_id_1, object_id_2, object_id_3, object_id_4, object_id_5, object_id_6))\n",
+    "classification = np.hstack((classification_1, classification_2, classification_3, classification_4, classification_5, classification_6))\n",
+    "pt_src_id = np.hstack((pt_src_id_1, pt_src_id_2, pt_src_id_3, pt_src_id_4, pt_src_id_5, pt_src_id_6))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T15:53:39.088884Z",
-     "start_time": "2023-08-24T15:53:39.041884Z"
-    }
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Loading points from output/tls_tree1_static/2023-08-25_09-38-55\n",
       "Merging files\n"
      ]
     }
    ],
    "source": [
+    "# Static point cloud\n",
+    "output_path_2 = find_playback_dir('data/surveys/dyn/tls_tree1_static.xml')\n",
+    "\n",
+    "print('Loading points from', Path(output_path_2).relative_to(helios_path).as_posix())\n",
+    "\n",
+    "pc_s_1, object_id_s_1, classification_s_1, pt_src_id_s_1 = read_pc(Path(output_path_2) / 'leg000_points.laz', 1)\n",
+    "pc_s_2, object_id_s_2, classification_s_2, pt_src_id_s_2 = read_pc(Path(output_path_2) / 'leg001_points.laz', 2)\n",
+    "pc_s_3, object_id_s_3, classification_s_3, pt_src_id_s_3 = read_pc(Path(output_path_2) / 'leg002_points.laz', 3)\n",
+    "pc_s_4, object_id_s_4, classification_s_4, pt_src_id_s_4 = read_pc(Path(output_path_2) / 'leg003_points.laz', 4)\n",
+    "pc_s_5, object_id_s_5, classification_s_5, pt_src_id_s_5 = read_pc(Path(output_path_2) / 'leg004_points.laz', 5)\n",
+    "pc_s_6, object_id_s_6, classification_s_6, pt_src_id_s_6 = read_pc(Path(output_path_2) / 'leg005_points.laz', 6)\n",
+    "\n",
     "print('Merging files')\n",
     "\n",
-    "pc = np.vstack((pc_1, pc_2, pc_3, pc_4, pc_5, pc_6))\n",
-    "object_id = np.hstack((object_id_1, object_id_2, object_id_3, object_id_4, object_id_5, object_id_6))\n",
-    "gps_time = np.hstack((gps_time_1, gps_time_2, gps_time_3, gps_time_4, gps_time_5, gps_time_6))\n",
-    "classification = np.hstack((classification_1, classification_2, classification_3, classification_4, classification_5, classification_6))\n",
-    "pt_src_id = np.hstack((pt_src_id_1, pt_src_id_2, pt_src_id_3, pt_src_id_4, pt_src_id_5, pt_src_id_6))"
+    "pc_s = np.vstack((pc_s_1, pc_s_2, pc_s_3, pc_s_4, pc_s_5, pc_s_6))\n",
+    "object_id_s = np.hstack((object_id_s_1, object_id_s_2, object_id_s_3, object_id_s_4, object_id_s_5, object_id_s_6))\n",
+    "classification_s = np.hstack((classification_s_1, classification_s_2, classification_s_3, classification_s_4, classification_s_5, classification_s_6))\n",
+    "pt_src_id_s = np.hstack((pt_src_id_s_1, pt_src_id_s_2, pt_src_id_s_3, pt_src_id_s_4, pt_src_id_s_5, pt_src_id_s_6))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Visualization"
+    "## Visualization\n",
+    "\n",
+    "First, let's plot the full point cloud, coloured by a) Object ID and b) Classification."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T15:53:48.363756Z",
@@ -656,7 +772,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "
"
       ]
@@ -676,14 +792,7 @@
     "                  pc[::10, 2],\n",
     "                  c=object_id[::10], cmap='prism',\n",
     "                  s=0.02, zorder=1)\n",
-    "\n",
-    "ax1.set_xlabel('$X$')\n",
-    "ax1.set_ylabel('$Y$')\n",
-    "ax1.set_zticks([])\n",
-    "# set equal axes\n",
-    "box = (np.ptp(pc[:, 0]), np.ptp(pc[:, 1]), np.ptp(pc[:, 2]))\n",
-    "ax1.set_box_aspect(box)\n",
-    "ax1.set_title(label='a) Coloured by Object ID', fontsize=18)\n",
+    "ax1.set_title(label='a) Coloured by Object ID', fontsize=16, pad=20)\n",
     "\n",
     "# Second subplot\n",
     "from matplotlib.colors import LinearSegmentedColormap\n",
@@ -696,12 +805,17 @@
     "                  pc[::10, 2],\n",
     "                  c=classification[::10], cmap=class_cmap,\n",
     "                  s=0.02, zorder=1)\n",
+    "ax2.set_title(label='b) Coloured by Classification', fontsize=16, pad=20)\n",
     "\n",
-    "ax2.set_xlabel('$X$')\n",
-    "ax2.set_ylabel('$Y$')\n",
-    "ax2.set_zticks([])\n",
-    "ax2.set_box_aspect(box)\n",
-    "ax2.set_title(label='b) Coloured by Classification', fontsize=18)\n",
+    "for ax in [ax1, ax2]:\n",
+    "    ax.set_xlabel('$X$')\n",
+    "    ax.set_ylabel('$Y$')\n",
+    "    ax.set_zlabel('$Z$', labelpad=15)\n",
+    "    ax.set_xticks([-0.4, 0, 0.4])\n",
+    "    ax.set_yticks([-0.4, 0, 0.4])\n",
+    "    # set equal axes\n",
+    "    box = (np.ptp(pc[:, 0]), np.ptp(pc[:, 1]), np.ptp(pc[:, 2]))\n",
+    "    ax.set_box_aspect(box)\n",
     "\n",
     "# Adjust subplots\n",
     "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n",
@@ -720,12 +834,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's have a look at a few of the leaves, some of which are static and some of which are moving."
+    "Next, we zoom in a bit to see more detail and compare the static to the moving point cloud."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T15:53:50.486726Z",
@@ -734,6 +848,7 @@
    },
    "outputs": [],
    "source": [
+    "# Select a subset of the point cloud\n",
     "def clip_by_bb(pts, xmin, xmax, ymin, ymax, zmin, zmax):\n",
     "    clip_index = ((pts[:, 0] > xmin) &\n",
     "                  (pts[:, 0] < xmax) &\n",
@@ -743,15 +858,24 @@
     "                  (pts[:, 2] < zmax))\n",
     "    return clip_index\n",
     "\n",
-    "clip_idx = clip_by_bb(pc, -0.21, 0.116, -0.317, 0.02, 1.66, 1.88)\n",
-    "pc_clipped = pc[clip_idx]\n",
-    "pt_src_id_clipped = pt_src_id[clip_idx]\n",
-    "object_id_clipped = object_id[clip_idx]"
+    "# clip static point cloud\n",
+    "clip_idx = clip_by_bb(pc_s, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n",
+    "pc_s_clipped = pc_s[clip_idx]\n",
+    "pt_src_id_s_clipped = pt_src_id_s[clip_idx]\n",
+    "object_id_s_clipped = object_id_s[clip_idx]\n",
+    "\n",
+    "# clip dynamic point cloud and additionally filter by object ids (which are in static point cloud)\n",
+    "clip_idx = clip_by_bb(pc, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n",
+    "oid_idx = np.isin(object_id, list(set(object_id_s_clipped)))\n",
+    "clip_and_oid_idx = np.logical_and(clip_idx, oid_idx)\n",
+    "pc_clipped = pc[clip_and_oid_idx]\n",
+    "pt_src_id_clipped = pt_src_id[clip_and_oid_idx]\n",
+    "object_id_clipped = object_id[clip_and_oid_idx]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T15:53:55.703656Z",
@@ -761,9 +885,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {},
@@ -772,51 +896,75 @@
    ],
    "source": [
     "# Matplotlib figure\n",
-    "fig = plt.figure(figsize=(12, 6))\n",
+    "fig = plt.figure(figsize=(10, 8))\n",
+    "\n",
+    "# random color map\n",
+    "cmap = plt.cm.colors.ListedColormap(np.random.rand(256, 3))\n",
     "\n",
     "# First subplot\n",
-    "ax1 = fig.add_subplot(1,2,1, projection='3d', computed_zorder=False)\n",
-    "sc1 = ax1.scatter(pc_clipped[:, 0],\n",
-    "                  pc_clipped[:, 1],\n",
-    "                  pc_clipped[:, 2],\n",
-    "                  c=object_id_clipped, cmap='prism',\n",
-    "                  s=0.02, zorder=1)\n",
+    "ax1 = fig.add_subplot(2,2,1, projection='3d', computed_zorder=False)\n",
+    "sc1 = ax1.scatter(pc_s_clipped[:, 0],\n",
+    "                  pc_s_clipped[:, 1],\n",
+    "                  pc_s_clipped[:, 2],\n",
+    "                  c=object_id_s_clipped, cmap=cmap,\n",
+    "                  s=0.05, zorder=1)\n",
+    "ax1.set_title(label='Coloured by Object ID', fontsize=14)\n",
+    "# Second subplot\n",
     "\n",
-    "ax1.set_xlabel('$X$')\n",
-    "ax1.set_ylabel('$Y$')\n",
-    "ax1.set_zticks([])\n",
-    "# set equal axes\n",
-    "box = (np.ptp(pc_clipped[:, 0]), np.ptp(pc_clipped[:, 1]), np.ptp(pc_clipped[:, 2]))\n",
-    "ax1.set_box_aspect(box)\n",
-    "ax1.view_init(elev=15, azim=170)\n",
-    "ax1.set_title(label='a) Coloured by Object ID', fontsize=18)\n",
+    "ax2 = fig.add_subplot(2,2,2, projection='3d', computed_zorder=False)\n",
+    "sc2 = ax2.scatter(pc_s_clipped[:, 0],\n",
+    "                  pc_s_clipped[:, 1],\n",
+    "                  pc_s_clipped[:, 2],\n",
+    "                  c=pt_src_id_s_clipped, cmap='gist_rainbow',\n",
+    "                  s=0.05, zorder=1)\n",
+    "ax2.set_title(label='Coloured by Scan Position', fontsize=14)\n",
     "\n",
-    "# Second subplot\n",
+    "# Third subplot\n",
+    "ax3 = fig.add_subplot(2,2,3, projection='3d', computed_zorder=False)\n",
+    "sc3 = ax3.scatter(pc_clipped[:, 0],\n",
+    "                  pc_clipped[:, 1],\n",
+    "                  pc_clipped[:, 2],\n",
+    "                  c=object_id_clipped, cmap=cmap,\n",
+    "                  s=0.05, zorder=1)\n",
+    "# ax3.set_title(label='c) Coloured by Object ID', fontsize=14)\n",
     "\n",
-    "ax2 = fig.add_subplot(1,2,2, projection='3d', computed_zorder=False)\n",
-    "sc2 = ax2.scatter(pc_clipped[:, 0],\n",
+    "# Fourth subplot\n",
+    "ax4 = fig.add_subplot(2,2,4, projection='3d', computed_zorder=False)\n",
+    "sc4 = ax4.scatter(pc_clipped[:, 0],\n",
     "                  pc_clipped[:, 1],\n",
     "                  pc_clipped[:, 2],\n",
     "                  c=pt_src_id_clipped, cmap='gist_rainbow',\n",
-    "                  s=0.02, zorder=1)\n",
+    "                  s=0.05, zorder=1)\n",
+    "# ax4.set_title(label='d) Coloured by Scan Position', fontsize=14)\n",
+    "\n",
+    "for ax in [ax1, ax2, ax3, ax4]:\n",
+    "    ax.set_xlabel('$X$')\n",
+    "    ax.set_ylabel('$Y$')\n",
+    "    ax.set_zlabel('$Z$')\n",
+    "    box = (np.ptp(pc_clipped[:, 0]), np.ptp(pc_clipped[:, 1]), np.ptp(pc_clipped[:, 2]))\n",
+    "    ax.set_box_aspect(box)\n",
+    "    ax.view_init(elev=15, azim=170)\n",
     "\n",
-    "ax2.set_xlabel('$X$')\n",
-    "ax2.set_ylabel('$Y$')\n",
-    "ax2.set_zticks([])\n",
-    "ax2.set_box_aspect(box)\n",
-    "ax2.set_title(label='b) Coloured by Scan Position', fontsize=18)\n",
-    "ax2.view_init(elev=15, azim=170)\n",
+    "fig.text(0.1, 0.7, 'Static', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n",
+    "fig.text(0.1, 0.3, 'Dynamic', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n",
     "# Adjust subplots\n",
-    "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n",
-    "                    wspace=0.02, hspace=0.02)\n",
+    "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.9,\n",
+    "                    wspace=0.0, hspace=0.0)\n",
     "\n",
     "# Display results\n",
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's have a look at a few of the leaves, some of which are static and some of which are moving."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T16:01:37.567366Z",
@@ -831,7 +979,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T16:02:17.903157Z",
@@ -841,7 +989,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "
"
       ]
@@ -864,10 +1012,7 @@
     "                     pc_sel[:, 2],\n",
     "                     c=pt_src_id_sel, cmap='gist_rainbow',\n",
     "                     s=0.4, zorder=1)\n",
-    "\n",
-    "    ax.set_xlabel('$X$')\n",
-    "    ax.set_ylabel('$Y$')\n",
-    "    ax.set_zticks([])\n",
+    "    ax.tick_params(labelbottom=False, labelleft=False)\n",
     "    ax.view_init(elev=15, azim=45)\n",
     "    # set equal axes\n",
     "    box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n",
@@ -878,7 +1023,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-08-24T16:02:23.703117Z",
@@ -888,7 +1033,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "
"
       ]
@@ -912,23 +1057,14 @@
     "                     c=pt_src_id_sel, cmap='gist_rainbow',\n",
     "                     s=0.4, zorder=1)\n",
     "\n",
-    "    ax.set_xlabel('$X$')\n",
-    "    ax.set_ylabel('$Y$')\n",
-    "    ax.set_zticks([])\n",
+    "    ax.tick_params(labelbottom=False, labelleft=False)\n",
     "    ax.view_init(elev=15, azim=45)\n",
     "    # set equal axes\n",
     "    box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n",
     "    ax.set_box_aspect(box)\n",
-    "fig.suptitle('Moving leaves', fontsize=16)\n",
+    "fig.suptitle('Fluttering leaves', fontsize=16)\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

From 785635c021ee118db7a6d79c937879a9b263e310 Mon Sep 17 00:00:00 2001
From: han16nah 
Date: Fri, 25 Aug 2023 13:36:30 +0200
Subject: [PATCH 08/10] add thumbnail, add thumbnail and link to README

---
 README.md                                     |   2 +
 ...ynamic.ipynb => 16-tls_tree_dynamic.ipynb} |   0
 img/example16_thumbnail.png                   | Bin 0 -> 50836 bytes
 img/example16_thumbnail.svg                   | 504 ++++++++++++++++++
 4 files changed, 506 insertions(+)
 rename example_notebooks/{16_tree_dynamic.ipynb => 16-tls_tree_dynamic.ipynb} (100%)
 create mode 100644 img/example16_thumbnail.png
 create mode 100644 img/example16_thumbnail.svg

diff --git a/README.md b/README.md
index e769b6850..8daab6abe 100644
--- a/README.md
+++ b/README.md
@@ -70,6 +70,8 @@ keywords = {Software, LiDAR simulation, Point cloud, Data generation, Voxel, Veg
 | [![Example 9](img/example9_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/9-tls_livox_demo.ipynb)   | [![Example 10](img/example10_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/10-uls_toyblocks_livox.ipynb)            |
 | [![Example 11](img/example11_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/11-als_toyblock_multi_scanner_livox.ipynb)   | [![Example 12](img/example12_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/12-multi_scanner_puck.ipynb)            |
 | [![Example 13](img/example13_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/13-interpolated_trajectory.ipynb)   | [![Example 14](img/example14_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/14-urban_mls_dynamic.ipynb) |
+|   | [![Example 16](img/example16_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/16-tls_tree_dynamic.ipynb) |
+
 
 
 
diff --git a/example_notebooks/16_tree_dynamic.ipynb b/example_notebooks/16-tls_tree_dynamic.ipynb
similarity index 100%
rename from example_notebooks/16_tree_dynamic.ipynb
rename to example_notebooks/16-tls_tree_dynamic.ipynb
diff --git a/img/example16_thumbnail.png b/img/example16_thumbnail.png
new file mode 100644
index 0000000000000000000000000000000000000000..bd7c25a98f5cbf49dc0bcc4ae1f2789824efbd3f
GIT binary patch
literal 50836
zcmc$F^;cA1*e?bMC?MS-A>G}Gba!`3cc))O8l)K-Y3Xhdq`SMjyYudO-*x|kyVm`I
zrH;&;GyCl4c|Ns66y(H_5b+RUU|^6WB}9~9U|xlSA6|Gk@XEj4?!Vv<1bYchCm0wM
zW9ZMTnRb&^@FK3WsD`t$otd+np`$5`o0}Vhg{_s7v7x;wgPo&!$}t}v3=9d3q{tT)
z_te8BH)oZp`M+x`kiH!3adhF={wXB&1hmX8Lz_ioh%`E|ynS
zHRbLoV~93jFR_1LA7E@Vx!fJo(AG9)!z)zGhU0ZTEEsi474S(u+vutKHb%`YirwfH!w)}
z940HRKA1{=*4A`y-XWWuEVtz3!1bX?rN{&-qRDXB)=UogG>{iFf{={GBW8Lmh3(P?Qu((`##
zp^l98+24PIuQ;5>i%v*5R8n7Y_joaa%jeD%5)#6x>gVanqg`j4YuppLxwE70{s11+
zF{~S%0tP1L+37!&D&rnxM@L7R=4S}2`T3lAMs#wr)?rdw8sYNt@{b=sM)PFxJ32Z}
zudlnix^gv^A0NH1kCz5AzXZ@UM}S9v^B*r7Rb^Gx-eLo*cCB>-#TU}gpMR?B`_y!j
ztnKaf1*4L2x$I-~L=qZ5-Cq&#x&Lz78D_R!h?%8ykTq!<(&KvCEe#v2Nl1<^Tp06&P-S{jhD44*gFW2IEB}I=I}9EmL6(-moV#MOQ)EoB~rBDJTNL=VM9VTwj~5{{7CWGE+4oplzM!DkcVZ
zFjMv-Zli*+wd~S%t-L%gG*)M)pFpoI2A)<(4?iCt4y)OR>+5Sw$JVYe>{tlIB6|Dq
za4?A2SED%K-qZ8?FeE#h?A5DR(1%!QDox~bsR$kH_0iDK=*|~q%w6;4(llx;<3*Db6R{l}94xt!bCsN&
zoylowixw{eOLhFE2mG?JcVqS&mbpuJ%mz*hmM~y$#CeRd2}G{P&~q4CJar2$4!Baa
z*_*OB;77Pnc*shC_2vm7*_kXiyAy54Qc#2CGc^Jr*dp
zH}%K%_q1+k89vvVclbUijk!_j&o^x^W7QTDi1CM&d3SWJ_ALSv
zQWyQ+SZqcHF=!iEdM%!VNz4JAot;VnZQXYv)DilnEJ!FHF%wcdrydc+$gyrMST~uaNL%$qD0yun2p^w6pB4gP3C)k>kfZ%X^;$2;vCxMQXG&kAwXaLS&Zja@OH)W!7quV;;+i*t1_Q|0sEnn0)7QEvF}
z^yY@q;ap!!3-4bL3beP>UGh`)3tq{8?p^xk<2JtK)1_`ufBM9Tk(XOV#ud}Mo5sa%
zqhsljA1o#!c9OH!80cS^@ta&MyJD7n*>dVnmIa<{N`ipppUMWS>%r%IDMSnp50C8?
z8*6JY^~}b8i>j3AEs^RA3Be2{vm4Kr8#X^(FUUYxa%Typ935Fe>-7#i*(jmHECkJZ
ztG~|h-%rGn6W4xTx9?;va4-o@pZ>J+`Tx*2|9IOLy;VBUJ(8GAjI=d)Dlav(vAg^2
zxZHNBkv)aO=C#30sqVMrZq^aLe`RgYo*Qnw!-*bbaZs?WG0oHn#T+&?FnJ~QhhB%mR;HJ%T@G=
zMh@}*bmC`TwaRSQi37R3CNGbgii+EUe&QRYnS*>=V>FmYZ~}$Cy%87~IOAjDR@GCs>9P9#ofMxd
zZELSuvXJ6Dla98www}ipCg^qpx`}xf;e@C1%@7m%uT5~>C=azUrxm8qDbd47m7k`XK
z^DC{N+fY9*)@`coG_LziTr>U_QC)ooZK9;4M7o)kDk_FZ5H~`ML8snc`HDJJ=?u*m
zBG&mzdF4xY0-+yl@FLoURCI-g*5C5=i=5K%Upm#_##~1H1P?tmEqJP=wZHzUhEXE=
z{{4H`I3gnABw^t1MT*kF`p5_84+3xQQBRMpOkGV*ij}=R95SALLT4UkGUJbzn)Ka5
zB5A!Qe*^`sNKBki$8Sge_I=C)rd|_MMXkOdysdaf|2|BX{y3%YhC7V
zQ&~KO-SB+S$RZau-fBl8j$PP#vEBhEBCjb9fC=5YhMPZ9=v4m&1ULYMl%Th~6HXy1
zElrzX#)Koq7xi03?8P~;3BPc|OeB5wi^-)N;soogViR>BE+lvR%3~X0pmGLR*y|{*
zGoGXMdfp1UMcM3@31la506Y`Q)o;ie=ko-B^=m#Y(T$_DhngnQ&Tty|d>b2|m9huW
zj8Z_^c1GUE@UP`PnO`Dbt9We)&IV1A9_%6v``i(B6HL_nwL87IZDA?bxeA4cLJjFe
z23Ui`*@~`nomOw$ckhA_Jt^JtwHq-lJya*v3S17R>1zklz#JM#WXzY0{mi*on#^v6
zhK_C=y?t~v)ZnyJUipWOSxu29z9U>lu8sY_|2m80(Tj^b(J#A#u%v&jgwM`u02Bg`
zfY7ipkhCZlzi&BHq|PYtd}|z*mJi@j5`aBOD|qR=Zl#@b%b;**B&hmz2m9wjRuS}<
zVj5psA4i^kk6$Xn@Lf$R*Eck1=7hjs?2Is0v}Mr|`#m~TJR=3P|3#PQQ$gVVmq@VN11RAa8DFBbgi{>I?80=f$KR6P?
z!oph5mVf^e0H^CFa|s}z`)0Iw=#ngGBJ(v?LHYUSfpwaS7+bb#d#^>oL=FiJWjXQi
z5(SW1IZr0bVWYcPvno%cp`$~%_2t=1tIk$;y_=kfh$tN2&FP>W3fu>1Ov?@@3zaP<
z3sCdrGivJtdItwhKsUbJpL+l9-8($CZ$j}js$5>zbd++bB)q&$oqM;XrKR2g!0g)!
zE5SrO*x2Uj+#aHqmNbQhg{k~r*NrZ!g-U@t>0ZOlspSBbKIM(`
zdp7&y
z-Ql=0Nlf4C>$%uuzluQVP}xlO#2$cNY!>4`pnxHgkXLQC0TU1lQ#aAfdi3$}@!+T^
zN(u^CadGj-$43?O8o&_|ju-xyNsj1_i9;#nV$1(a)_AN8-OtMTa$UZjH^)N-irEr?
zIAz_hZ*1&M7NP?<-InDD`Yi#M{p!#DMVh5X7vuBIKDS2PnHsMfTOODFPQbaOhb92b
zZUuvFVU{MBMfv->fXiA3EO;`oN!Kg(E-qc5jsE!YRxFZ0(%t`na}lPc_>#p
z(YAmvjn~br;|Bt#%C?$jldBB`d!x5PN
zPbTCADM(2>NNvFQ=eys{27Nw3F@X8@>g=Q=f536r|l0e`;!f8j$qLQ00Hm1
zJe)(v#>Ng47bfih_0pavn<61CO~%3!W1j8-2ln0H>b9OA2&Xp{hrwO_Vy0vs)7KJzL>WvGc-2-H(jC);j|+{KtQ;C
zc$mnSCk6<(-`WWf95C_>K(PSUeDU`U%4wP3(|g&8K@SeQ<-y;gVc@~%1AfYPv*>ht
zf1jXv0&Y#C+1;VgwDo?UmXwSPT4ec0OHGNGv}&g-FVEOkR#sSa8ZiE`vFL42*Z8u@
zY=)zmU%>eP{^ng0hYjA&NJhTr)jr?DVb$ax)q&qgl=A7DV3K_XY#57PYxU$r-z=r9
z#&U|r_vOj$(vu$)O%7;+Fa*4=;jr(qMggw-qgrG(oRN_+GNbP|6o4WivC$nd;6s!f
zgTB>z31k3x5?;4sI#)Uh3eii?mgdur_oSpT@$nRdJkB4%{oT#9JyXaF+~w5Q*Gou9
z1b6oIga!8&D(Aobwc_`pDhJ6_;dhG
z%hhl59S2*I8Rx_KAnQodMf3fB(Qk`nfTF*odmVEF;QmovU45?BCWSi+T%h^o`C)qo
z`hlXjets`Trr;Ln`-6kMZ?YbUSI{2lBlMqr&)|T;lmsO?Z=dzAm`y}oNSDLh(g4;DWv^w
z1dwD*ax%2nIX*vnXx7=LRokuTvB}1QF%=Tr`;OR~Bss4STy1bmK9%beXq4kkZg!~D
z+zK$~V5dR`Qu#cTVD5mBF=WARH653z?>qO{2!Pf&*s>P~K&`M?Zf<~*rrg%Vtgk_#
zV2NA2ZjvW_pYP0HnT(|KS6a`pyxIh%z)CDHEgf54&Qz#clz@SS6&h@ssnO_M2*cue
zxyv#T$Eg6r;&p9}irP0koB&!tMO9Vot2c1LW8W}P0Y4P>IIQUDTv*TslTk#39IO?%
zYct<8u!~SpQMV8=z)Cotu6}Wv|Mlr>rvX#ao2%?70UEGxSu*rRa?D54(J(PpEn9A4
zzM_$NZBC}yisfd$?(*4}%B0%sX>b1mC2o)lj&GwvJkGlc#gSmFg#gsGxwRFKM-@rL
zZ>iWlF`@i?k@1qG|H7}pce@&}etgV;{#k};r9?*_bbRPVuq*)Xs{}NnufIPARFNK#
z#mEH(S4ccZ^4ChjUd#@c^Yxlc9}pli~aqZ)F~YS{WCmCPZV(-Rg>XA
zxK}1y{qc^MyNa(i>sEZLdRalAafA)EdQ%!KVQKjXhQ;+z0~J-X-aZQkY$7aFR7p8G
zENCsA^$<&!+~}P*pW*KrK1wi1=50!T$4I}`2wmTK$>tg974_)9&9zP-!<_8*3c$N^
z&UgUD17WwqsxligT5k5RUT%hf^1$tK-)if*7{=Dy|G=MLwj*cn~#N~o%yX&m}(xi*4i;0HzU!KKw24JX3BgE+F
zZ-fjCGDUUU+uOHzc2-`@z>KeNYH~W?l!R$?JqnGALII-*)?j-OqM@mIcDoU^GV0Z&
zEuqI3Q-LyZLwH*@9ZOmB?i>9{d7Lf|`ilt5b%K^JZ;xj8@j+T3Y3Rq}GQu2H^J^cd
zSkNWL|CFXzM#;%pr{U@9$^nCnj10uRM6GMFA3uLq`n~vqiQN5ocLB%{vR%s+mf!Oo
zB|!bu72$IEv=u%xwVx;{^EEux)UaTHg7i`#V`!KqnjRzYUR!&?$Yy%a8Ngsvpl=%8
zy?Onb%l(u@sKON|qTA?B`uxT<1fH9lTSF7_yr2!f$)vJ8v&A@hcO>BeXmlQzW8x03
zt_T2iE%!NkJqzCKzA)6J~4T?#ELV^sa4(y-UaF8j6f@~F7H{1=c&e}Vc|%$Fks
zqFhI*Zj(EJ)zE2M=!Th94x_@4wd`K)mS!J!E}-eG^~;BV%K-D1rL|6Em~W;9j7IbS^FFHahPa
zmF~<7gjx*%;-D!a0v-U(@$vC^jg`6+1T2?y1Rnb)*j1#Ym7Z6Y(8oM2J_fYWFb;k2
z`#?s`1y^<49>fK;E+rKM27hQ>U7d-!dCEXzQ_}#TX`-EM!6YOknL0igVDdo+AZgxn
z2>9r*va+%}*7|F^RWPldpP#XwsBS8w!db~XZj*6XqojxDKYHv4%iqaP_eyM3D-Fo}
z${nA*4K8XK`}MLn-0_OU(Z^|iH6pojrjrU9di
zeFxN1WPM{}XhcK=5C{-R2zg!OfUV$^-i8uIUnm3i7+rs{UW-<0YAWdN!6_*zfY(6f
z?^1j!5fK21D8PKeNRy)k6CN8MA0G_vUqBU3xd6t1M3d_gFd5D+F3@RdX+5?f=KYvd
zP+$PPfs+$P4h{~b8cWr%#xfj1-)0yVKo*n^ni6qXktO811sdqMjRs|Zb!-qz$=plf
z+N6@9-~}aW*=7?Y$cI;v%OlzvTb&>!2QTWkupk;}!9fLj(9qB_#uCXtefkcjJ1MD%
zh{(r}9}NT&5)*sCn1uiE0l=4d@co9<`K19^qUUiyA>{c1FdDf1cQPYGZb$Q?a&pKK
z_?+E+eIa1Z*4nKM-(Bng6huiwg9wPuK`kS=5J1H1K-M%dA-A=)#p+>YWu2>cAWLM_
z&jVsl*XJ{U1hMVx?4Z)xF$)a90mb@lL}_y3U`0mvoKv|R{sR@3HFLlX904%7Cn_W9+33Dyu50?+SxnF%}>0Q#5rwikc>cZ5>a^%>S{B*=o4eN5d8
z&Hu!N8Ez=_yEApoA&#aH=Fs1>=<5ilil7o_n
z;-DKzAP#z>q3Vq^+s?hjJrN5UwtXinPTNFVw1v#h(rGE(!D@uAT&a45Y^
z%~|}Gz8EU*m%8DS19Q`6i0FtftE@{xk1nkkX*iPCfe^mAYRro*S+<__CjqH0}*`HfA6jU1#)n5B4cDckz*@UV%3}fsoUYGH`X{2T*NwhHI>mb
zYCwvI$J0WVJk0i0kN6VnLF-wh-lt~)jU3VOf_jkAhvNG~pf7N8$WENeFt+5RBqcww
zvBiOw^E&TuGz8LT9K{cpWR|%wKY!j!7PWXP%ofD7IM^!^9Y&ak=e&AbQrzw8){zL2Ei8A5K>t#iu!m^>z`@TD)2IeX!BjMKoFthXXP>leL7y5*WTYy!dZX$p$xpHYdfD|aU`T9JAS6LQry7BE!
zm%UDyEhni!{|9I(3)o*G;^NwyynwU%++St^)rO0UYZQ!WqX$<;o%&y3c&z~o6qF=z
z@G3RTjQ{$-YCh}6_qSL%%odNTH0nYmB_-wZd*%bzk=Ja(RVbTA*2t{OPtms3rtmRb2Ol}jso`aKfN>pKPfM|v>&u(4x*Zr`wWy`+5HNhi29
zjL&7C`S$JG-a!bfDKKF`w`O`}vfdd&YNQ26MoKCS6d9Ap+p|i*SofBi>To{5U3BvU
ztWmF0s3iJXE|m&EwP>K!YJ#Rn11z8IToO2B0;N-4kR15mEC3Z4%V;<_RG@h!0((YU
zMC1oRm3=_Eld{o|BI55H8&lk$EF=TCFTYr$LKqLsw$|2GDAOX%d!h%BKL>PQ7US*@
zn&k%Ho%bgtfx2sQcfLhR>IiHvDAxo}wikd3Q{e5PVPKF0I>vtT59%ZCjb#S~2h(X*
zioAaFCKq@`ELPKW4c>Q^;kc|~Fc;|`1)nZsVW5;%v(f|%hKms>$pnh-cC8OUA?vHF
zBmjn=-|b`!T<%TeTFsQcPP(}(kTL7^oFf&N=DSX#OR(Q4a#Ugn4wg`A_vq8sl}42J
z*0JR8N_riBv=F8_|KFz!Jl0S-H<5hBK;O+yIK3gAg%Ddibzd_YexpEVH|
z*#ytchzVyC2s48Tqd_K{
zQns(t1MYWK!VB@ul#0J8i7}0{Dkk~-eEG#)hgMXwc1o;i>`uaz@_;N5xWO|J9?czT|@qo1G#e+-2*%s_5MkxHTP
zzn@4$WnfQQFsLW=_DY1c;8;!;d;zZlx=sjk42EEngFS=*0JjrSi=KRjfDevvq-{Ww0*NTHtwZUDT@nO|qKF#XsR
z5b#D%Pp?ZYrQ`#a<%zNMS*|$Dqy5ffe2<(EEqyr89=iiSFK(JRWjPDIRjX)Z%wGz<
z(MC0mreVgYjo$h9*Q{oOQ
z_iI7K?m!3S0ssRLLsEb~MMOm_%twe|Vq#;@uCE!YA^~#yNJJC~`VR`l`s9m=I`Zf=&4W!H5E8u;ne6@9{vlol}P0RIQ|@&lC9#SrJp
zXrqf2sO)~AP=>l_CHBNSCAuzGSF?px$1Fb#rQXPeQbenpl6p~l++Bv{R21#P#4@}H
zi7BGRI3@g7Ldg928R2i{2Jha-y0EUK1nHaZcplfGUS}H_nKbo}yvpKNob&Go$A2!`
zKQQP@d^#APVkD%@C)l_gM2Gp&{PCxoAaUel1&Xn6-$1yV*8u|Q%T)IxkLQBocKB`l
zVRg~Ke8#d%YA5R%1!fy#fsjLnqrLs=KNLYIZy@0Jj6)H)^#^??#f{SmFo0U@H%VA2
zfE(eM52r$#KY+-U4jW=X0-mk5KyUGc@DPTD_Uk>g@qyJ0%hd&S<5C??$Lw*r|NtcBuq9+%LkhntD4ukT=h12F`o%)yoOvT6s=nc2RL!kC+z
zi$xL1y1R3UWupSUoe0<`7tT;Rl+^
zuh}-qj;KGF7L(`99F)7ch`h{m^)w`
zy))Py%^FPMjAGDjJZ*nRY+z?M0+g+R_JDU#CEP%34bP&6nfS!SE~I7f7|W
zwa!Oc=T-I~`vOuQ9ZAf_bY|88)WP96%>T{kc|`y{5(1pa=wHA70@)9wsA`j<6g69D
z(7A`XYrpB+LkRAz2>U85B2)vCt6?0~=+<-&ah-e#@mefo$%Y(HP81#yx-uS9`Oc}y
zyBNYUOktP8ND+pwy5@)Bu!%VvTdv+VVOf8^vL?ME4$m~rKqgOb723ZuS$yPU!orNk
zi2eJsZ(#4z5rrY&)L*XN`4cQmon?C0^4A{hCd>oB-j>vW_!>;LX*jJ*-@ofg=13Wc
z_m{_tZnccM4a%U1Hv_TtKFZ6>zv>(slGXD*6TL9wB_%yOJA>-0Krh1%XeR-ReKZjB
zlcMC)`81)7+8;E5{`ZW{BtWT;1Nz$C)r`JqXEn1TAa!)ZX=!Qn01nI$UQHHjvf{Fs
z1OrSN0%$cbHIxC}w2HO^vg~+;v3NygB^vmApb^J{+R@wu8eqa?nZAB;Nr`CLj5IVV
z^Rqwzq$99Ws7nCMfr0^GHdX?462fK?^A-+H%Jz6FZ3Ma}fRTYJ1UAN22xa;&;AMqv
zfO}9DdvCIU
zq-w{8mrKH^AMS^gmCkyu4tW^E;3joIGxV12K1ruu;lBzY&}*8}G26!%?Clt16%pB7
zFT6M(@ayi)&>z76&6VR
z&#Np>Lr5)&4}n@33RwjOyN%Myaq;3jN!yB)b<1#ddd^u9zclEtcDD|2UY1?;3
zhQ)MWXqg{YyjtxztLh}=l6Akq!m*|k|4Jc}VSFs!HdgMWtaWwJTM_YYj14}7g?=E~
z_Y94;HAB9;OPY`K*#)N6?_L>-g*`^Itsxc3KGJTdv%Ti0h;#z0pEzlQB9zt8#w&?l
zAqBuBfkpekF@5QNv;VC|8aqZ3U~K~tcph4QFKoN6rUYW&tSP&`9WO>@9}KAm24~Z)
zhAC_**@=D^hc-Q4XCB=^xRCSI3q2OagfVdeaVG>y!9ypGg)MuTjBf3pcQB9QUOy`4
zg^HhEkotD{x);Z@3Zuo*{}d6Gv#-j{TDQzrhB9h5w=Q?(=g0S%@W+11&zu!&m&
zhL5ANP4pK`@SIyrydWL9ASH_I#JBO1Ttu{71!zDP=6AK{hv~+wx%-&?snD54$}G?
zpjy$v)MEC^b~v}s^Ua5Ue)L3c!iI>kg0MxToj@m~jVGtY@-`+dA+Vx1xFzfjoHqXS
zV|~&sy1Cu`)6eQZ@?|LLUEOQ<3x~@mz;->B0yCVEqf(-ftA~4J;vCb9%Tz9fj&?4t
z4L7{OJr&a5`F`2k_UW^+2?=&&mm+&#$eI@MW5prCboM_yTBUWgAtxlZv`9CXs46LZ
zSRpwv4sEm2PoL)5$fx?2Ahl0TtAv|jVRiU>2!&jY+-vJch(eCV7Pl4RE)zQGyEft)
zk6kC5J4w?vG`&NVpcokPb%=qP~etvdF
z?a+~SK9ai1XI?LX#XXyMoH@T-7p*g~|7Qe)!*nr^8ly{AI80x9w(Gt7s*IxHrwc)d
z*mn1OJ~<2`E~m3gSYN_NB;Fm}w6=27d&}vk$Nak*)mG#M?}>6XY+`k`wC>#Zc@4~g
zcY*FIH{D$eNHFbelldZ|e%oODR1MPyv|_UUuzFO-T4<y~1LmFj@pcr-XEHw|rrm2byZ^MOHx}1$#u@c~TYhs%zu!0gGmQZA
zcWxrk^2$=f`(b3DpW-Ds-q7liHkhN$Rm7a?#nfiu@M@6YUb*37rEHQ9QMB-fT4mx{
zWgN2B*UOpW_RHewkSLSS%;e`kcj{){8!MwWK1Az7iXRwd|Fppf75SD9a$4^&-^H;v
z$`_0kB#1t}x_VPlQAe>^)`Evzwj?cQhAfw^I_TlZQt42%ZRopnyS7cB+m?}ykNk1*
z50P3eoZN}Pm!VSwXC6XS{%rVfAAiI)y;qx7o6&7-x>yyb*W-QHuu9-;JmACIz`KFE
z>hctR!wp0hs(1yvc_wWyY%4lWZObo&$x8Srsf8gZ*R!KMuJ0FSN^)$oinufUG-Nv*
zi^dH9!{?Y&XGCvEbgEBHmJ|vQN*2HitV*P2G9k}XR8f$)vJ%5HH8(NbIW+KX@fr54
z9n$IKvaCfW3Ls>p!OI5Iobmv~}si4USUl3OgWNetaYTo-BAXg2kYRw={OAMo4q%cltF_AQjl
zU|+np`BM)|8B8lY?k&xbUgn(B7rmino!ssh!z!5QI^s%^`8+i@<0FoeQ;_+qJ|NGq
ztl~i~CKe*AF!3wpnIMk$D^!|%x2f2h&ypfb(BNy9`Q;p!Xpt=`4RT>YdorrFy!Hn2
zDoM@jDPV{ol7Beo%gRTu?)N^Y_M`esTSFQqof;ZH+Pjm}oH!l5CqBVA?_7S{aoOD2
zj7?AK-bV=IawErLMsy+mWDyXE1B2Q`wLALHXc%XQrW6ej*qPuE3S0^Nov
zA7$5H8H)Go{{3mW#320H%ew?G+Mq9Mf*X>foKh+7jyrl$F#R9ArSaD}FSmoSvC3YQ
zqW@$Zmr_^<_Fi9fb*fDjJ9*7*_{gCG0#D1SdD%@y+dKhpWu3zDmJE0HgHuO?Q~VO|T=
zJTlGVz@JQ`WwgEi3Pw+m`pMd17LM=&hlpKnkAd+}Bryl-%Mom|*6q5=zlIJ0?cDW(
zVQbNb03cEP*$`EyZyxlxUpFtbj8~xDm#dN2>D#P8^B;8zrjE;cs`C`J
z;yVijWj%cHqivUvW!E46aNp}6yt4M#nqT`26_sx54I4t|ae)=N%L4mrl4_f;qikW<
zZg|rHIdTZ~)3kR_)NbkENQUD(m(Qt?;)O2_^U8nGB(AqXUtQ^+klz<^vaSoQ9P^++*
zrx_-0X*8QyAMrDvn{Al1Mw5x?uBmV+Co_|0L*n7g1&`K6D@DzfzvbZVdx5m!ab~B`
zDVy>Nv%hX-S%M}*wO{aI>dUtYtR4U=5uQf!Vc;aAqznS0f_kqW)s`t69>{Xw)2f$l
zE;cyT9W`%3^G6qvQ7=CbL4-M_GrChi?g9qMzT=W>o3%txmC1+Ittb@AkbeRbh^IBVUpBmTd{7->F57~1woqyUz!Y)i>{&B|?MkadPorLGG
zH3$50Je!2o@u7csdtT|tU9t6XZcm+YpJ=KD^zkmi;?FQ%ST>(nIo@QfT4I@AFm6>8
zU%VE6nee|aW6xVHLzQVgdi=(li|*Q*;6_~6@e>JucRcq!pj??=H`;=n!XoasYeAZ|
z*0?bG-e<6OK<=d%Jc-zy$VZWrlcUpXz9pW@1}BFWKR0prJ+Q?8sXvRn#yPT(U@aY{
zE^iki5g3duaUScy{j3Z#;ke9bnI~izNF;83mxk0V&G_HhKODZ-vigt0%_*@T63%4C
zpQYdCL8fpeEjCR|l&d6}B5f1M!ks+{r(HQr^3BJd?}E+>Rfnp@CiK%r4l=Ytn%aZ5
z1LiSli!}F6;cq&Ydx&PriynS1sJr~_p7weOF!q!t
z0B$@w1rpKJwpED*-xh(u0AEnbm5M*uY^^I40OLYdr#v5d>Q=)mS>iwGLG&;5u9o`f
zqPqW`Ww%X-)YbHaZcRY`b*d)k8J?{B$Jczn-F4bEzHkqQ5Az`f46|VAHxYh*u>rsj
zTwYB|V1$lC-pU>E{rrk4zWCG<3~`Eak}iWQFy25}(^v{Af8ijd7l6g@IX_uj-8~+B
z^WqDCqUF|O`B(i~zf7x!COJXcs~r(*Z}E^IQLQzHwO}1JBSTfjQxfMP9I3lF@YmNz~%;#|M$Q>1&;06)6I%@
z9H5!G>ScOd+}wstINz3=xr@}xYJ02f*MvL%{R5HmE})A7Y24v(mN|@1EIS$`@jy}z
z1hYu^_)>w{>G<_{_H%KlQr{JeFU<*_tXB}WRCJDX0^c`pc|CSHkOcbAXGF4n`T0EQ
z3?0`j)kv{cAvCA$j21$HKfu@Xf-9J?*1Zy%EAM61Om}DLTDY|?pBlSa9|l&B>Ye&g
z0`<$2-1Dt{D8}YCh?r#@?er60<@KErqevUtX3-sS=|{deYlw(|RsKxrMnL=W&LIV)
z(q&+PkpBg82i(NZ3=9nC;LJonsKQMU#`*{tG*njI!DTY=2j9C72q}O~(?ivN1VltM
zaGa`dU?3L!$^cOKV1EH2N`HGeO?$loi&2lxAFNy-hzT(Ok0=J{Q_#c_$a#qWL?MPA
z+lmFJ&cfvK!MkNM9F&w|fDj`MWL~Ii0JS$f)jSlX1*E~nBUMa15l0oPTF1=z_UjK**1{3VyGCRPy~d^HkvWw
z!X&vE9W|QJQMeVj}ESRomMtt
zQgSVCaARQK;n--d!%Wy-{KsV=QQFx_TTT|p@5)#i-8tUeuhMxViFp@Gz|qCU_e
zsx7CaL`0w-kU#LZQ=;q^YGuX3aXvvH5U67T9&Jo|y6rG<#t2@S024g7_TfZ@7<5k3
zGAsU}HuZmL?OL2X6F>YHy%Dcng@|wQcus8HdtVz#ZoYvGe>>8&T#q0kWUa0%^NPe)
z;$eEomn3g?Ckhx#{%_Db)k?jcbGA)m8C@GWHa0y_T|spnIkkgh`g`({)tXKdqO07s
z$Yn4~)Q`%m^4yKbpdnLYo$->_0@1v7L&R*X;s7fUtT&R
z6L9?nC#p0XovHuIBDF<;1nA50!NGeWu!F*KO-)Q-%3Y7Npqe;nP_xh^V@6#aC&+_S
zGBQSitzryHbvy?FSY%vK55Z=kmd$E&^r%Cha6aTAk4n%dkxQC0=J&33V|6=~?6;$5JmSCOq`Z!r9h#$Hemsy6#0pOu
zzGJPp^xlz7B`h+ireD9!3&^3&LxlqpaUe}f%P1l{n0PP&+24WKNqcXz;sOM1sLY7R
z{%5uVWX8_VW$-`QfEf1+Na}$!?K^OQ12~z3gwu}bPH}0esiC=Z3kxZJGkbJRVX-kW
z5;8I-y}v$n^{bZYr2*$1daeZ=_q@Aau)EvK&%ohzr2~-(XciS*qF*OJAYd!Fo_3G(
zTmbO*I7HXvx7G|tT|16^o-ePqFVjSv;;Q&;CWwmQ1d}GT(WIp5t94xT7coYj<=s&4
zOfgjV>y1op0=3yEh^D_s&2$eBL}H>alKx{PEECeNlsBm`Jf#`eqEKZ0!{HQ*Fyy-G3#uX
zfJFKUoag$)$43A%bs*2wx84;-O+(YTc40Zc5=5lamL?z|0P-tYgWljd=7OKi?d?kM
zJ4fI9JxYP6OJ&fzJAsz#`|pS@0`Dqku`WHHS;kzquxI60#xA8k$To`mu5#mgEqUe-
z@TigdNh)4`3%hi2^k+0>h;jJ1ac5yb_i&uW)HYgO-OaB5$ky^RJ`FRu^fs_3yAXSs
zuqXz{>lMB>{-3Fm@8(II-&P~BL7yKegzR4O6c?AAdNKJUI}vweHKMDzs=d7~jgXe;
zlMYhB0x_Aqf`VYsn>2G?K;9Ini_okS@XDmc#Na@9l7n8W`tSUFwf#CcT<~gw?2mQ{
z7);2np~G}`b;YY3$tt^H^!pU~
zcNlp|>GP{~;xcFz&*GI%k!A>A9Q^BC4<%D|sH0j?w*p4rJJ0Vw#PcJ}
zvaPfbgXrlv2Z12B745+iY!C;VyxE-af!mi>ZoyM
zJ?9M%?q-Ivf%oj|nC+RGkN+Ih(BU{pB7wXf;1VMtd;LD1Hvk;ejZr3P_`Mh!gvWfTOh#
z5CR9$&vjr1h)=N1*V+t#<8SU@wBWFP`^b|P2~rElpw=2)ie?2UFhSyETIFa6ZK9|5
zbwXv>`<(O4=^yS4(O-$)?3xUtOOwhEsPjp^U!F)Wry>qU(YX6%t}5huX-_Z_m3iTd
zBW~@`nV@p?NiMZWxMriz{oR~Fc};goGNot0UYoJwp(r$tF+X%L-mI?etd_@~3LIAv
zGe@`~&ziOIV->Z*Wbt8r!lL9n)Vnec_o>UZK1ThH<+<;(Px;X0?`{;`-6$!TXcVye
z%&_e!1&7M7wG*Y_oVqQd>m2u#{xU@N!-qXK#a6ePP5
z$%tIcP5y5dKr9^Q@5)LBcm`=8xHaDF;RNjc-MK2tAQa+lkhKM&C^)7oW)LsecE)%~
z10E(gq&_>Ro91Q&K$W|DeHS@D$XfybNKY>>BocV@(0r}ivPTfMzIQY*&%yC0pr)e%
z59%EWIA8!m2Iphq#L%%GY?x1<)$=q9bGJo{co!rG6T+72R?;eV*
zP||=0X}U59oB6=&Q=nG%Q?#M_Rt2k#H7xn+zrq_CGM#2!Za?w_RdlTAG*?`0abD~3
zLy0<;lGh6bR;>Hg7JttjE`S(?^$O{=WTfwoYNm
z_D9xU1&1AP>d&gYd|~(`vRkNQL>0MlXK>i|UnWS$h8D*6WE9zIt+#7d!#gDn<6`g0
za0Jui7)PymF7!SMR-~4h2-wuzPnIL*e9uBY>r
zGh@q^ozH99V^}hc2YE$QR22+N2a?c7Ar%E7SlFjf5R1gmqMM^%@+!+A+v{ESI1gt%
zULmIR8UN+X^p^atSFXNUa8MgPD_RgtMQX|1aJS4^y!?A;gVB~hjpEA@Q@
zPm5x#%7OM=m-8n96o}&F0VcDpR#pUq9xXXT5wIA3;724tdo4~oQsK;wpTo75j
z?VynOiR;6QA<|7R_Fd4efFQO$c{~ZM$#uOgGV+mY63#2WdgKRX$LtB=ci6r97tQq{
zeB-ZX?~gq>p3O0L7H=u|UNJt$k-R7NjObTwqDs~j_I!p>TdH`A8L_5M9C7w7ym>63
zU_p84Jb&3#ND(=fF-df};ERaXKR)N9mT*BYyuCX}vG+6oXMLuyuBetTmU2AwHM-pA
zl->?R?aneDl$fGBo`{Eg2xK-gvGCq7L
zetUJj#wGOTp@1x&B&Bc_Ln=yQ)vdT8p(>3PlA4LSQs;rf-h^Cvu1UG2=yp&*i044@
zlRh=Gv1m%xQ5P=TPdhZvs@Ts37JXRY`;#^;JZFs}S7{QVGzaU}f11|bKI~ufBFL#}
z1I=xHgEjTJ;~$wt;YAHZHg<`y({CJDYNk1=jQ7l@+bUl#RM$VITb;rATxJuCe{B;T
zixLRX-ZX}PyFm>^ns(1K@yX#2XVZ;l))SM4GSQ5?u9u!FI?jCymBa70
zx)JDE4fz*b?Rq*-oYBLPw&)}O_kiwNnnStPn|3eojl{r+!L_w`-|(iNS+_Sss#Q3D7g)B%?DjZh=__7lkE}LzAW&(~){j|G_HQ%~d=OJO
z>y?_{2f`YmI&1K&%^0z}n36;NIyjFbx*s3;I`J`>{5`@Y!!0^LEc>of{FEVVUk#DV
z>ua;~`!G<>wHH%0=ei;$+$E_|E7^7LsKZWVf{P);Xr|iZg^{Y#Ijc;mq{AM*`-h5q
z;zEHBF~Lx=>47BQcZYA9PD5(zr*7OJ!M|$hZASwgin7Pytc+8*r^!Q}-V{HNXai3)
z3f3Nj&eZ!4b_F;8vDB^nlU#W`;k@2E2%clUb~z*i*t&Mw#-yHgcCir>jG6WCPze4@
zR@twt_N+}$CqWyBs8C<SBzwaP3?};iJ&nP9VlA?@Wzou`qdDYV?xO((Jp^_DW)4z-0GQ(OR?V
zXEnaEWJ+xNwHN1v+L-WOVt&OnC9MQMMMU&PPb@Q4Sk3!{3O66_z}&8IJY~ecy&fAH
zFZ)tzPhQOV`fi`(pB_&Nl0%OjqFL#p!t9!248+hF%2ITT2(&Exq&~`z4g_->%hW@>6k;QJm%$K
z`K#z{seeVDxQE1pBrhbDe4142e)-D{f?{AXFgYp`BM!HW%s%#*{CRve6Fkw7iq6a=
z`RP}EZB15SkZp6+oIY1z^o0~IW7~jgYCn6JZ)A)M@_f0zGk#M54h^EMGfaP?ooE4~
zXslF$hW>EB7Z!Tqfx-RI1r?5Zr+%5^pT?Fi#H_>okjcvrY#H4}l+P)rm1>>eKTnd7?IfI^FUd1!QoYNfaeu8RHcZdI&$^HhVVd-fp=BoY$oK!ybd6D&
zf6+SIwr$(SWZTv>*|u%hRFln#la0x)$+o+{|Gn$3^{zhjrT3hD_OqY;Y~(6RRvGgb
zbuswdc3V;eeip^4FA=J>8TegNDRl#I{MCH>@wEw=`IP$7{a3Xxxyg9avOkGX>CN?J
zaVGdU^L^#7qqpX)eS(1)T5ys3SUn8NAZph7xil_qaX3
zJLkM(%dd>X?^$k{6OxZw1@gmjXWvd2^i{_6%$OvCdi
zDg&3bEwxk`u5rb(?~gs5$JIcqy=vn^rfwu|y3`dNbO%7%ChqzmyDo(y1KfV4i3?b&S3flkDpacEbmA(RT6i
z$Pt`_gf+Do7VV~YAEPyhIr<4EA9fAS6l8h+)Wq0X);Nn);6lY_pEg4Dw#!QVyg!H3hG6~5oN3JW0
znMjzEnsFVX3fv?|QmI;-RYJv-;nCXmoAGK&yB1`ZQe-{KQ!d6V69Z6~%C2aR{_kZ#
z+@PIP=DBf|ct*s5a(?@3AbFC~nJ25-DQM2=y6
z8&=&&ZB&Znkfadc2((Vj)Ps3Jbc=>pb@6=TuObH^(aJ1kQFM!DbWxF*vfAJg3}6YT
zz^Dot?1@2G{M3zQgveZ)R409&x)vSp76H^tg8knI%zHhIk7IVvl!pzeLhlW1gMwM*=R#kYM|6NLGu#QL|?UCO$%kPWUzTFQ|=kA9!o-!~2m6Pc??Mjs=
zj7|y>L+lq4S68PvnWB;@dD`c?A%r~l2xH@w#c^ImnVK{iPnpB}@fss@Rtgm$jAUPR
zFtq(1v(Otr3TYMtggX>RM`|}??}U8F0#1%U_}0dYR{BR2^zL9%D(Tlo`yDX9@%ZrNY-uY<%i}2Z#VBKJ
zRN1v(-P1c;xU(G3@E+vn&YUp|DAo5R#PYoT3ioS)A+1=ck5RUSGwL|f-FiKfCs@%8
z!sX_&_b2KgN&IRRzpSJz
z#v~#04`~dPvqU7JJtXFM81u1kw
zOX${S=Sn6Bu#CMQsUgavu1}@BFC@Tww#fnDydIIGs0fa;2m_-i@l;Om6i0<#ZUru-
zxIFPvks2`gPwEt3BmZ92=g4CZ!H0eJ|Jazoz&Zj+*4t3qEdLW%2+noUNVSe{;&Sf?
znVD1mXeK<>BTw&Z80CL_8`esR+De-!dtEl7g)!$t?=d+wO-$7ij`JV1_WjHrKGi_ET
ztoli%8$y;U!GfLZs%&t49Q~Pe)KaDp@i%GZgIZrotiPsxF4SHBPKE-wfS(-bpobh<
zc;LUm#~u#-85$o;_+J_SvmvW^Y^g5S9iJU*!*iK08hp&ip9C26vS=!(M`zilAUxc{=m)F2I*-1)-;
z9_`X`yj0h?Gfl01GdU1iywYpI?1sr1nW9G%3sAhO_fAdQynZ|PXq!X-#rfb
z{eEwpP3kPgnwLQ>pKiF$|`8k*c!9S
zIx!Z!rM`bH-gG_&(B3OWZO4&kHMfJg$COwEE0=pl8h+xSE9C}pmrt~?p53ZtdcDv}
zU!>R*SQmcOAVMfHNltuzzmP7`Om%O{%hpB&aCg8mv;LnpY>g#7SkmY{F9GglY(goD
zy$yPkSyW*I83sp@i46Dxm#lM{Z^ey*&Ae&zj@CyMh)Xnm7-zny032f2wgVH2Kq;
z6IFr8_{Zm@*NjQ@3HyScgj*D$=esE#37R8|%SEN?-LlX{tQ^1ri*S*5N|
z&Lb!cy5srGpTfV=7JnAWMBT;}e;HiI`SA}%Omd{{EVXqCUHAiE0U95N%?-k0qV31a
zRj&dG#}M*oH^-~>R21xV;3YE<-$Z5@
z6yUqa!}nYkL{kASbYaO4fG1!^jU+nVSS;#_DxR3%HaQX()(Hx+(ht5BdvySBun$KM
z+8VS&?Edv+cK0A%4FiBoHa{b(wGf8VvAm?+*TiuX)=>7cVM$L<{(U3cy$poi<;IL}
z{_7DUD}p)()+lE8Ak{SbNF7aedl)8rlzQ0eLtS2IIMx2tb#X-e?`s&z-C`qsSq6gs
zSpEm}2vy~g>4I-#ldKHwce4Mnr+tu~eAbrb2DYE(NvvgEb^3Tz7j<UGxxOfnGgZ>qC$G0pNa`DvQgD*T6s#
zds#`y9aH!90#^A9X?VYc7om}r&^GqbtwQdKIIl)28bw?Qb7UE}hXulv*FDBo&ok$H
z2j~w)z8*+f7aMCPtN2n-gIZ#8OXVI@{M}(qsXU&1Pl{=m-e+nx=6rF0-H{_gCw@of
zT+-V8`ny2zY|8XDGe%-L5~({!#D8Cp3pB_g(LzB&8q5hNibZNCK|F*~)<`_gl0vWS
z{sp8ofcb^qqg2YVoopen{RYQ5AeLy%e>cjiBQ79%tp@09IXq^V6H7sqDNJRa9B_n}
zTP@#^7k&EaQ+L0Y68^{`vghF!nW+g9+9o?^WJHDC(6^&RHomy;F8uODJ}IL65p0Dt
z5z3Z7_EsW0$`A-tW~&4y@;xKm>KKmZyL!e30=kE3DwA$sp%#-MOAjq}9zC9ViRsw*
zQFuiZn#0|j2*vqcz6PMSo#3LVD{(ZTP1s{88Obyuj@SOaX$VIvUoYZIEF@eW!shHs
zxF^TO+2mx-OQ7QcabL^#-Twot1agq;xSlUj2F@=GqB&69c~{ZO-1>kzKiams1A@|m
z?sVr093{YmL+%mMdeHGj;@`2|aZ|L|g4_JU0xSoY|61|AtaXK8YEbw%^H4?u*3#Ym
zIVtH4R~{4GQ1*oTy5a@)M7@4rQMT5jAuk_tp^#1mjN|Kh&$4
zp-J0c>xBEFbI!Lrv5iy%@87@a3vthEy|PfU4=299%Y_yv=I0C?<3t&><6Rg3gm9+z
z!S#Bez>BjSKiet;_?vh&sKOiy%q=zto4G?~%NO&Ej=DoRSK&Y9tcYE8YT}xwK2pj#
z$5!;V{R%M!{eX&B9v!7iq2Y)a74Y~N8e3^rd+^>vtAG)Ijv;3|S{j6F9*kA9l;Py{
z=1iclx+}QL7;3eX1kI_JqzSS6dHujR0=`QG5@8`y>7_*?R`ONl@>qgQAAR4qsmYW?C)sb}VF17qY1%0=#e)S38S?o~~$&>5GL6Cer
z*ey{FlRbNVD!sKz{7XnkKwMU>8A3X#_Lw;95=ej|UR)K(JM<`XdQb`#!skMzVs@2v
z4qk47Oc*V;;^<$lbTob0a$lo5MeE;SWgnYhbIJbr;QUw}e`@zBF#V?G0E(9cNQcGW
zoBox|`6ihkQSe#d;R4@sP422uydM!|%pRJ7iw8lqlfErjJHKi0CK@&SNpO>Mx
z+;G0a`KiXNeC-Hr>j3=*v=?2!aZiRr$)LmnNwBS?N?3MbN#Nz*5$PCQYgGL0ejdVA
zrf)_b^ndCRrHR%77=f`B1zb&|0-(}vbGo5>$_CGybkLQi>eh6$TO4eHS>`^C39km;
zAu{=~*#fv-HoWdbM#>SJ(bs&J{B~Cb^>m-e%egf)S>>c)#0+<5DZwpILZQ^A#
z_d1eucrhkASex#V_|F>>`KbLN@yu8o)ob(wL)yDj<*X~^+%6_W>0Dp
z&z;gG&$9cdi)DmO!6uZYS%TSnC{2Qf=n0~Fj}h#h*#BxQ<_&Y_B!68O!+tWxpDP*@
zl+eW3N+>>j*3Z>-pqLl+3sR(lrgDL##mX`hAtU5e+82iM!C4gl3B`BRJK3KHz!*~{
z7j|IR%F{-NgaiJz$}j7;o0~#+8_cSJ*4#0Vf@Hl4uJ#nreHRr`k&;?t@xi!
z(dnmBmVW=##c&mWPEG$_*Xc5*T_r+>v`PM}1syqbDjT($`q#dYw{U;Sq1%mVkA97{
zT)Q39BY}ZD>RV~O*v#qvQ+XPZJniDh>5WZ~gff3=7$6A3VM)?__|Q9T0f!G;SK|aO&RW_e`!_8#$nqMnxkz=y(^47Q9w*`RtZr2h!nJQ
zZw#0q(*1>><#~y)Hs$`S1QVH%3f!TAVApFKA&gXVONya$96r7&DR!ozu-fC$DHg-OIg#iD
zaA4FM3V9M9sPxG&NI=+?^+pqAl$nOlfze!I`FaYGp?k+l%Xr6fvVp=q%6;5^Cm_aI
zy7WohCA2QNQX*(V7K%d1AfG=ZnYVOvIf^WWt&m0cjx90IN1CVTsled8l3NtrelZTN
zFgy+;+o<&?0WfPRSV6s~e`#Z{j(oqD4s_BC6I(LapQs784AJ*F&61_oN^0N?+|J{7e-1
z>$?Q=!4elVKOF$}-kfvciOCGp*^#xubo4Y((z46u=DavK}}3cwsH>_@~x~&~4U3^vwxlQ8v-N
zjokeX?|e>8N
zh^-|9C9=kdL+8(_43Dm@wJ(}q$~s?ij8Y%Ehg-h1MN4j>|LmF*;>97)9X19H0~mdc
zpec4eQx^Ix)ev;dP{-wp|J}BuGs`3^+EzLwHn1wL%k#aq$gaFO&~T#&e=7^a+Oxzb
z8WPW04cBw#$CYgrRrc7Rh-i;TVkVMbNC{j
z$4+|?EfuQTJ?Z{vQ>|W^(`6}A-;e}9Gir%Kh$6`P^)|DM01V12yU5VuWBrXVFllE!
z*%DM!PM9wgl;6ytr#olf1PfB{SUSGohr?AW^M^%;{;)3Vh|{%S*7a+Br+sTrD00KJ
z)2#gQ9N9(K?(5`8O;;x7XWjr*kqdzP&}E88*KA`xG?dIFgAolp^*jmwx4l$=2syeK
zB~GfrA*ZpiQAw|PM!>N1jdtxc`(=;N2zn=MotT;^%6X2tXYGP7%3R4484%nMZ=hP$
z9S0i8XlVHs^fZ-!n~lDW43cIF^KK}=+lkHT9Q?X|
zN8RXTE_kMXrK?G0N7>1MkQPjo0%es2~za`y#Pcu;bN&(bQ$_T
zV1aFQ2jvXAR`6X~SH@4-d6U0yIn)hG?we_GSj#=XwN{t8rboEX(6~nc!%bD?LYhi$
z)!DyfFlF((E6x~BnPbTO&M8wa(M-GQboqKh-3Bs$fL
z*YZ4KpoTl8?Q<#F&Q2&f*ABBgErI{|)fs2z*bTKiCQ0b6wwI~l&);ZvzQOgJ<(Fd9BK(1UeOAZ-}Vb{wB*GzS)eh%Piy_<|XVcS)hqwtAY7>u?`E@Z{y|$
z(p*J{nU&REJg217IYXpto3q+xgWT#+0v1F%2B_{jsvm4A6HaDNuV71F@~mKRsPtmq
zUTDD2@2-iNXv3Ryvi_@*=e|}?(`!i8L4^trD#G<~t{!}7vOoD#xSFP%>2+#cVS>&M
zu!6zWW_7ty;Nqm(8(|4OA#kfGty_19yxC8{6-m_}FigJ&DW(i(`p<|*_}cTU&)kbK
z-XpKCojq^ioh=Bwus2`#ZHf`5>h9e1P^`Sm^Z}M
zC*mNEAQNw(RGC*mEWsN;ryPYmTCVW`N2;&Nm+YKZoE=M*Cw|*SofmMZ<7J=Kl
z|Gfl|WDr6lqxoJ5PXDSaKds;Iv~UIt()m-R%b7gOY}nV9&0o`4HU`jbPFo$(QR@@{jh?9K+kKi
zJ|{6${Z^mViRDVcwrjgop#5?N-sMR(rIRs-^Vo31gJLzz7_y?Wg%I6#AaS5S!<(~3
z?+Ra_i=Jdl-`y6Dd%9I_`
zaXA5@)Pug84>2q@x%p(wAOz}maD^Hj4-b{;JFxTeQS5r65q{DZ!&JY%|CKLXn3)~^ITvMIlt_*eLh#nXE(fpnr0v2
zod1Lw$>ziu+@ZPeo0hJIYdp%+ymQ$eJ-82wosahxA@!1zvIm~8#KFW#QN+2WhGT;M
z-KR+&JWz(_4|42!^)eqJTI^p2SDYMl)Qvaz0FygBS@}D|H$HB3pbZfbN4nlhw$4>-
zo`+0a91%9FHYfKLb&cu2Si;
zWel{-hc7rK*HMzvas^7&5_+dm7u^ve-n96=Bx7{rl>F4ltDT_yny})v9$4@mRFLN(e=6w1Q3Y6+5qUTPr|^^E~!=r$>Cqh&;f1onKG1z
zj|KcL=0+{1}DXeg26
zXB3yt3~qe7EcS1UYYIi$8wLsa$u9p!gl};FLed(3M=qmL)~BKU{e*Ec(l7@Q(1(Gr
zW)Mbc9%86d&AMSO1dNZAGS$ygWBHsoMtq(1=5(x*FoRu#c1&)79cRztU=c_~=MSVV
z0{^U`xPd`w3HsE;UPCC*@7gBwm3V^)zw83`{5L;t+FEG((Q|RluOk3eTyFRHNlTzb
zA51Sguqj=H4yW~$U6`aip-h(<`Zj(DzLo}rP)DR6rSIlw$F_N*F69dsBYg@jU2ccW
zexKS*$7%Z9f@~J*&FznIyrL@MJLd|`kA;bI+fvvk3#A`&&LQZe`l6HgPI36t4z-At
z#I-sba`aF`yX$g*vyL6K*bMn_iI`fSpy8sbo~&(;umsJpnLuz|Y9@D^w*r}R-#m1=
zh_>Nu>yM*8L?G9r)21z^`I|fNNiA(y(U>9gl~nBB$60n-j8=Pp`9w=pU-D<0Fo^5c5upAqwS%3C#u$&rU3D+Y;};
z$J#A<&2w#U5Lf=fCldP1mG{KYs@3Ock%W}+^$wbvPv|ZNWt5mte<@e?JqC@`KMKYQ
zoxGH2>woazy_Oc&E2MN{(pP|cv+scF1~q@r1V#yPfGzl_wXfS!8}aOXHXJ1>xkEb@
zX??(2hV?mdKBkY5znL(ClqR=;o2)&Luq+#%&Wd~dEd3R>TzKeTx$gJ+$11S~pHd;r@Y3TCoV54c?bg3OkCAvH0~{;kriViz9z
zLC&m*YBLh9>{>=vgY!qXJk2N;YA6k9dvTriP4wAIKSz-AKT??sKW~mWThvGohc9&2
zM-Cim7Mo9xz-4$$)T8z%9j6%m5qib|A&hC8f6pH1^NCRQFiK6W%MbN1ESF!1C*`M0
z)WiYJT=x&XJ}AQS1@AhvsQ&#_g7nTd9>|__!C(LQj=D=6jc^6=-J2cb180|BBAXGV
z3X~Rg3?2Q}dY}00p(_)=R&3aIj=FcnZI+8*8A~zvV%MheF#Rl1uU1;PzaiTEj7nJm
zI22i&CSU~8Zpci%fWX*uX^1YZB{ON%&;HGxrtcR2z2dC@ZGGXHNp-f}>$caA)p#K}
zExaNVvKOadth~d2ET8h%z8~YpuBjBAn72{KD5f<|8=%s#Ncp9TrEW~dQ3=Ne(JN@P)|FhpKk7-i0@Z5KWW2Uu-{qt>a~2QcvT5<(SGYd(ux#LQf$`w7-NLk{
zY@^o49mq?g8ErhhY4l-hB&73cb;bbE&o~&rXAw
zjD>*m&9^z(XurUeeJ3ZT@Wcb*c~~sC+`YpIC7ax+oL`do31;p1O*zIt^7RI1Dj{K3SV=r#gxz@;opTw<1>f%!p+b=`l0DMQ{
zoBJ+urwpm*cj&@rYKEc(-5`_>R7=x(4eMVa}4PR+&
zKbL*dR0!X}^_#fwc^ofZ&~L)bcKyubAA_jt$MX!I*fe7{PnPC~-ybR-hydqf(KNab
zI^}ysdo7hLvM5dZ_#*S=JZf9KdPW_q1n)RWmIKjb`h=dc*xqYRS+4h)gSl7nqfb*D
zJ|k7#E#>559NGBJ39wI+WF_MP=JI4VzKizZhR3ah&F=BB?K=N4*{<`+RqQQ+MN(mT
zeLG@bxLy3*6-am`F4i}SEnX|wvbLi{UI!51`=JD(`I1k}i9;<-uPZ0Zp?;dI)Ziz&
zV{|=YO3X{7ZZMmi*OlMQX*MfU_D>KgPL>^&Ci{PMv`ZhAgcG?%Z-z!U^AT{T`Y9BP3Z~Ff)Qd~f>;2a
z(~GsS1XjzCT-S1WTKhR>cGzuwbTcDn@eH|%ONT9*YPn`TOdQ)1G`=&?U=
zj^a|F2y?Y72PVVNtvO^Q`e33Z7!rFfE{9I}FO&$#be+h3L%bnU6V^Os=7RETjZhgx
z$8r-k8YZPpKWkOj!J=ZLWq)9m~iyfgJsDV6j$&+IK=vbaG5}^cmK>K%|N8!
zv|?>EyJ8)&*(6`RKky}cZOLPbBvL4O``>gRjLkekL9N!%;>+Db2JF!^XlW%{Dambk77kei}x1<}whbPmJCOW?n8
zmot{u1_#F*6Ixe
z2!j1KlrDoJ&jMl$bliL&@=${KHS;c6A
z_6WV>Ms^Uef2!LjZCyytM
z?lYKP#H*0GSo`&J4jC|Wb7J77!8n21?zXWm`{C+5g}a>mauLBhRx@g#Z%kBT_DEz7+&*+
z%Lsxx+<(N=kLE;Ve{tGA>Gy@dsV3g&0#G>He9nnw^nj(1<4t=GcHS=OHzY7_h$sE6
z>kllMTzrM`JuPzy!mDGOne3qID1QKz?r`WIGP?Q0VkK`-KrCuMw3j{4odOgFsVZe?
zcMW-X&iK5buYAa+p~`QMn5K^JSaOGz0H>5wHk4;S
zADwILx%+A{xUKL9?uBn=_v%3U_JAkMHP7GM?#gdxT246t2=A|@M|m6zegPwEejasK
zcvYKGPTHt|xIx34K{9AD`bY>uqoarpZ#P5S@c0q(+(q61lrrqTO5!)B=vmYALhW^8
z4BqGtTk(~DFiYb53D@Gr5Jn>vnQ91SM!FFMC-Z@CfY-Zk#CEiJIMU!&4Q$*qp8qVH
zKC219H~Z@~iZrs9QFE62gjp%l&X&9VS8+mm?2T?bu=cTYATKPLt4b~CvAiPy@WN%a
zW((HKgA-Q{rqWFs3IfOeRZdRYtq0CI)?cN;6}J!~beQr~Icm#|kE*kkTQnU0{P(TLg)eI%H*Ais
z3vsoF&~I&B@JIlRHaFP?Rc=~x^cb``saF~{)%7d`0ZBIB;4L}@GsQ(aFO(m@h_dKV
zf91lv=71}d9(KDr5dmSm5coO4T((aFQ@B}je
zqqxp90F5XC20@(h9SU$8K$__P^_;UGj>gB>utidcOOL>J(QfH!&(fP{)bhXzLV=5|jHrTI%A7HYPGj_ltH{K!ol!qj@PB
zD&Bs#ya$%8r4pBJ*Q3Sc)N+xzQKn2CrtYkYJ7$0s{tGl9CURcU$BW(lD?#9y@WTGJ
z40~JUA3-knP;_9htM28KOD441h-5aUEvA)}9X$EN?3PMRMhL4Zh^RgY|8Aop5qv#xsPtzm2lO^z?vy}JufT8^_g
za5M9g`;7Nl7K&8zNqz~S6QTc|NNE%hF|6?LpKTxPY;`V}sDH#4xLjq64j6_rZ4;ZXyoZ5{*+nOM&A}s+YUf~4r>K$?3?l0JeMXgGs1wTCsBj>ryDjCsQs_N8
zXk@S8pCs9bA_Sf$JDM+L^L4CQH3E+)SH1y4N7l$$ZE8Y|lX0Sy8z}QP#qvZ&JRpt%
zVyl~~;(;qv9wmSTD0R~KUfAv*>p<=ZT19BrhHl1_ib~mx0`QIRRsak~ZZ_g^9>r96
z8A*=4*_!TRj-jKTP?PEL`xw9@qT)q#{Chi2$(N>x8>!U^6nfx1a{W%RmMP57h99@0
zAfFq{8^GGmjvmw4^0n(2({8U5vDr!Fwqs#!_7&c7larZKD=C{7W$*+z2;^4fg}wuMyqD!p+dK?%xl`oZ=4wiE|mg99e*1_DFw@a}ILuppF9D55g7
zI$`|T3c>nYwUnn6DLWl@C!=S&mWf|U4Ym>7(tLge#8}Jdqn$XYIH1w+Q4(*ubSLQS
zuvd0R&D=8<%QaATVm_n7%r6s=`eho)v6+S}`p2dKL=;BU(d#B8=g>VpGeZE)jNd@^piuyjfk
z-<@9WF^p#Qh+JS52y$S?8lQ+}W3KhZiXW1jdXYOY0FzTV|J=V)7;w~%^VuVY=%r2z9P>R3Vs~S(moV{4
z!AY@r{K7M1c~P|sK8|hewNor`DGUFZiXU<AO|{->ymi$QfuClKgQn^n}+CoEkpUXPOL()
zTSV%SkL}Pfe6f%3n&KBfHl-hv?M)mFts1bD9SB}CV{o?HK|dkubJB}nBY3VjzvLon
zOPT`0g#1|dl$qg`^2x<7s%U7bff^mJj)lfdaomfr^r2!KmOH`2^>a*d37`<^`iehg
z6qoa0UjN28gEcbI+Jx^z#jy+vkSWg?2)bo$$=l@Lc_!{=CYH8w8EdsAN$g=Yx7+ngnL4IPb8&A)Xrfs)9<|~JnK0wP{
zFcgTpstDpfS&$$z|Fih^Z-Z5$+mrG;rA-tZE6ayVW%(U97XD
z=S6BfaI9VPCnCZ}F%v91=mM1x^q}Qds+@q0#nH!q2BnE)HUzJWS}H$!0}+5_=AVSP
zm&HX|jnhM%Rw-sf?d)^mTcIsyZPU}dUvlQ%pf2l5i4N;3$<%zcm_zWbK{7dWFS(!7
z_a>k)p{GN&0n4%)3VHEddrZyA>p&%oEJrJ_IoBU4qQ5o(-{tN}xoJjxs&~GDX=~YO
zfbNZQI9nd2N340*~>3mgQI11q$5znB)jf
zKkTQ77N}yV%9%3CvplHaT%5sLOb(~Jx(Kf3>Ez~@;{MT1N0liM?RG%?iF@TYJHr~<
z7Fbv6ursk|NN2Pm{vzCVhlKA1F@ji%GnHD~R{8RXwD#2O-o^d2=o>w=64Y_lwt?S?
zz1*GmrzJ)E^&(8Yw+9cPSE2l^Dzb#mxsW2V1^ewjrhh@ye>VxM?34r9LCX&QXsn&K
zza5$e|MaD14C%Uu@p5mJ!5bTpy)?LQhX6H*;qj)VB)RHn=)P#+9RgL3l=c}wDfA7C
zimm+KG}P+D(chD?@+hE&i%e1b}EU5`jUk|Ti<-(VVs2IhR50uFTO3}Yrhcp|4S2C>R>pt3SMK!pRgb*P+ytj-ZJK7OdpF+LpZ3xJ
zyXuD)pVRSOQOBaD9R6-MH7g%TuoG(I(B+h5ooKnt?2sH`$S7f*RJ9?tRu6vn
z&dkvhQ#79fMysO`JumUv{i|Cy5a8r8Px}3|b-ALdvNJ@80Og-UE=jnyc;We%))XnN
z=H*@+bEMfjf_sbQ{sSb?;Ro~5rLZwKAJ#??_hZ8gvSOkJP|*Y0aU9k-E(ygsG@~^h
z?e?zXUEyke<%w!o@P2`r^U{DM$3y88#d;&offzKuxH
zw0u&3?#mQKIgi6SA`P#R$XM^MvySM1*kli0KsnF%wnmyr=M`Q52S1Q|vN^S+Fi3C;
z&j|arv!EC|oU%~!)D)}1Us?V}7)H+TZr0|m@f&{In0m8?{R2}3-$nQ}^@~J+*Lv_u
z1b-{9PHs$y*l#UI`k#OD1;28#&tvN+1hO#A~>cW0p^Y9a$`MW99SJoF2kW64&J6sM0NLQJ=rO+Ux$ony)f#`)ji~MbE=bS&+w<(;O$(obDg|
z$1hqQRp)}KyqG{6VnDzL+QuN^1XYvBQFE18sX3u$bJ=m8gsZ`o)$%J2^EUB*x63qH
z8$kU-95fzC_@Zt)Ll@8oeNl{lBYXusPV@IvzP^3c<*ZUTbf#RUrz7b~tySnN;n6CtK3)7G)9xCWq~zDoYPuh9&g#CP)+gm3X3r*q`1z3F+RO`
z9?acuJ#}7fya_$|ZC$x2(oIT^^gZFjsm!Ff-Sv3aWpZGV_wp}o9&Rvt2%Kzr$)kG*
zp)LuG6OVlSOG3l2z~xVL{|m|O{SGBQoh6^7=>GKW_JY%hw&&4a{&CYsiDdJ!(rn2-S%iGKlZDze_;Cn{yUc(Nc=g
zuzPvov5B!mg}t;icDDIZnBZb2ptqU)QGB9zofSegVM3ncW5Q`)M^LR-5Qk6W#R7<4
z8x@X4!=7WaLP6*xNH@h?*hFDs6daz|-?0d*vU#HqBnM{;5ukcW2=
ztiF8@Uk#(2`fc&Yh+g4%^A+u#+;ivU-fiXZH8?t9F!fc)b4##KMhw51$qI*g8Z6Dw
zm=NwZN1>@5|Hv9cfGs#URw~u<>Q7uR+|A6V{-3s}Zl7DY?|$nB^r~AdA|U6
z{oIFnuj?Wc%Y@O1*d<{HHFs8+hB+{PmnI3lk(BPF&m8?`j1%q$e)NLaVna?IV@?RE
zNp+VE`iY99Kaqo&UMOZMe>@+3DPSv}LCR*Y8ZqeVbL_V|G^mCYG+PC2$A3ez^MVN4
zeY#{sfSfNarHpa75gemOdi%4F^Z$DR=C3Mt^d2s!^375Ms|R8lPU7>l%`=#IdQ8B7
z)Pa&^_#RjoM3B|<9hoXbAVs=*cJFuB(oE2WG)#_8bI{%X+3NCl!w~{c;9+imUPBtc
z5N<{!YYIXlcYC(zE>VO6*?7Ky`=(2-%bBv*!319a@bbW8F)bB=%(uUi+M9TW7kOk^
z7wQwp>^UBUGkF%;KWX4`eYU4bV*Z`o^}RXSW07Coq9(^r!v}DmjQ+V~Ea8ZZ?q6Gk-{1J2YJCL%!NJWO6uo_IYSj2f
zFroxT9NlCptQ}>7(h&V6OsY@KXm=)gjNJ-XaA`9>C1x&ssDAVe_yvl+#V8?Rjq+&k
zHkji071r$uRdF9oiDn2{Of}M967~Vs#XgB!1=0W}P~fj!FAU;n_;5}zT?&dT*B6PI
zyU!ahH9}5Kqu$|@qy~~{5cIs|*N?5uWN<Y@_+BsmjE8S@jMvz8(e?R+5OH<(3uPK&Wrmp%6t)f;cGx3xRFYYp$7r+8t%`W
z?VzMK$eD6tvOPQO%rVtKEEYS)T7CkC^PI+||9mdgz`ZHlk3d5lBK06=hiqSzp@ysi
zOFCr174tHUC7o#af??w6c%|zUrnsvW9W&v^6C`0ox=AL+kdvQyR#+_DLxc1th0N5K
zqZCvlA`O8E2P!`j*+CKac$(;7XfmK7@g>1PH$O0lYh)?S$^08mXG?n(I)W3Un078q
zkRKQdyAYUw4vHtJQt>reVUNyfJ1WFM!KkE8I37rS*^GB?rr#f?tonT^u2we#md$sh
z*N?mleLKBfFIN!ZA6z&lQ&zkQd=_-<$!RvvenG#3i2j3F6bw8!R)o`((Md>s36by5
zn=pD3fepzYDw0=kMW|Q?-j1Ng$_2sw#`r2RgS^qT{x}a;YM$?PCdZBST4^?va
zk3!p1-sq2lUFbHw+i^xHAHKjefzZ5vZ}|Iu$BLjWJd?l6l1YbU3T^=62f9|eE>?M}
z!N(5Kg>gNWH(#?zud`-C!4`wa*2S-yU@t?#zJyF0D_Do2(=<$E&zeG3(qxuQff@Xp
zk6h`W`|ZL4XurzO*GKxyzA0CNh7AzQeOc$+rCDKM!opmDC85lwgBSh)c78*fOm%VF
zhvcAeFX@NrIEnpvKBilsWH`6MUavTiW1aT@fd*NA+wXze*VcsANHQVfH864mgrheyPIL;wh*KA6Kd@>qWfn%3lU*|
z-NAO`{uW9!E=8}(2+u0P!#Fu>iSoZoNq<&j7BG`3{va)rn5r$~f}Ub|_D`Zp-K|zsg9dRo1uVStyEfTM(wJ3aCUil5}cFv4`PRqnAjdhf?lakYU$
zg@_=XJj-YT-kKUg{>$uQnem>|+j{=*G}s^K?;LnUu%ar4z98J}jN4{<53RgbT;O;$
z4&LFQ9JVpj>wl;4;l8j)8Y>FMH6C9bkdFR?kk`*klF0b2(BAORD7y(}{;9LgCG3!d
zSgAh?b21w|D4>|`+N@wiI6@(}V1(1Yz63+qa2L0Clwgq?S4h_apx{XnI08i<4o>s9
zNsn)w){a$I6z)MJhvL_MZ-LC_i7q7QU)|0q-WpSW{vU4_y!MLP;3=Q|&zgHX70lV)
zr?Pd+{e_>_pr=%tV0qB
z!JoqNDBi|KfSo|>3VYNX5+YbkiMoe?$_$p&Gej}4=fz0
z<5vf#RDIg;s=x3|O4jJCb@!ccZCu+T6U%F0ieL;HRD}U7`l+hd5D9wZ~D&~!c>hAR;q+CG<-$BywcCwlhbNn#jgs1cO40ocQWj0u5
zFL|4
zphfnqoDZ;H?BOMZ){B1?pI_V51uDHsbF-02FBFaSo~B|Fh5y2sO#@G2>=Y%b_n1EBy*%2eYy0Bl1f9Ss-
zGQcUWj>zxqSf6s(h?;O^6*BV%=jf#4irry7`n*7b1#LcRr>vqO{e>H3fq`v%Mjamq
zZ@D~K1J!x`;AtKP+7r30u$4PtTxJ9zspD%V9edQnACF|&EC*XZ!S23(;
z;`R4?z^snbg>uWLd`=dj3YCUeg3%9C-lmhB?q@ibzvtn6tF#diK?DS(q+6uBOG>1bl#p(vzqQ}-erKGYXN1QI&7nyJv)JYn^oNSM)FUU`Ww}vcl1ji2E?oSHTm<>X0+||nv5;2l;Lf0
zzu$<5P3A4aN-!!xzD8l=65}m^@n$)iMd%~mOATcUyZPX=4j0|~lDKVj6Ed5-c1dNr
z#kX+qY_ea}oU^_vL~QbY*waLjZM;HD(8q7tK#|2>L3EmM?YBJ%|9u*2|I2p+O?zL@
zjf!w3TiG**WRY9hSz~$sYcu9OBD{rRUkmQ)yRJCbXq7j%G2srU+$m1@<|`Y;7h`{p
zcEhjUZc$Woys^0IPJSZ8d7YU<-s3Dq;9WG*);@;d)1G*B+Tw#CEO{PBxHBuoS{9@^
z`dHSj)!I)5t4&!aGLYANw=|yWZ}976D&z9T);|$53Kegc4KQC|RXT8&)tB~6`ffQ~
zjPSindFLfW$+94ZRhduDp>Kr?VLa85o#E6`%1{-vX?gF4&WG|$D2&fL&bBYOS&II4
z?^SmHFzX>6Z781q+VD-Or?A7bUM~B^?wl`k^n80i?ud%hnkC%%_;|f4jw&FVaeZOk
zNa{Cz=u`7@3P+VEqaIRj|D2U2>4=dygww|hFWUchd?TjVhvTZjqrcNT`+q*m4r;E9
z<>XwQEk6$#CELmxoC=IK3&x8pc$ND0CIus5IJhFd<}8M5>5eBp@w@PqZ%L$6+f-Ee
z;mlrtyN5jqQ?ziVWP&GmFtQh_MnqnaO}B_Ca_VBfT^dw&e@&vC(mm2P?fCAci00e3
zFRp#LC$BFJFx^)%{}4oP!)7bUVc3N8b$N>;xn2{?}vI>7S%X**Gj@K
z{!ZL%g}xTVTdLeeJ@#lopl1Cv5{d13svU~)+Os^!?XkgQH`=>T@0{O*%kJB4MWs@f
zb(RRqkS>Rk-dIK)8GP#Tx0T5p91nQ3EJd+_#f31ip`9sfs-TiZCwoh_?d8gH>3NIc
zaE8?IpKc~iY*-lc;~dtZ$Np*F{=F;oA~gyp_pF|19ijiM^TaGtWmKzISfuXjMzwpk
z-{pL{$-x+?{W0c@9d{{}NRwr_uW7l)SMCgn4@
ztgE`c8n|TM`{k@uO_y@)v$g%>FFw9fCI)t>(GbTeiQIjE_Bdjan2>1dT6?EX7ho`y!DYkh!kprq
z8(;bkJU{5?_BPbrwcxL!Ue2p+j}1swv1cF~*hRslA?eA(-Y`FKoZAf=X00y@%u>T|
zkwqj-hV#b{68wE8+N9$pldciCLG}=OOpf($15j`npA*s(lDIxKdT(kudbBS4+{>^F
ze;R`xJuP$5Liyw8Os;#+l=B+=OGGmjj58=!9b8<3R5Y72F>UQ4+%?ru3mkA!Vv*Y1^&zzX8M7%G8CiP@a?nK6y=^*E8Z+crN@%jTUtEL;^yV=h#py`J9r
zzuy$YoAnmwR06)9OvP6}PQOdCWWqpyNWkb_a)e^Ay^6{+Z`=An*FNwJ%bO*Y%t;xC
zt;-&bj6QZ{-r~Q&Y`zXSOJm&i!cyJVS0U;oo1JEf>0?a(=xyGV_-ZSb+X|*1KU2$D
zUZcEO)Ar`;{$c9Vq3dG*v108GAcWl9Ze_Cca+3$bG$dhpmoZ02N?E;+BHm#PSdsX1
zt}Bx&eiIKQu8Pb2XAC_x@`@G#(>FEp01MJmyr|aKGdj*EiGO2xjePc_m9|px+X@_(9|IZo5MK@v2Bt!yO{iAyd$o)%npF&{S86LTqs|NK(3MxI
zikuz`)8M49xhX^?>2%iS5M2r48tZwg$^A=E!K9{%&18{YS{QUx`Zep0b}Qd{y_6Jj
z>3Q3De`(C-t603k#A~agxOHQvB>uX~m0MJD>^!s#okh^D^)X6O31
zH^G6};av_l7LL{=rrr5jlN-uKC^}!AjbnV`(1W{VwwFV*|5LS-x*%kBSfPW@W9^aV
zH5E{;i%Z;UTV@kP^?x`$!ReWC7cxS0!zBqh4H)}jw2d1zc;(`(CObln~-rM-u5dZ90
zMFQJKr%w+0)tpL6<#O726f$vfQl~9AebPVM_Q{bDA3?Wgf!8I@`A%V)^Zik~Q~OB4WW}iw^W-+`zXix#LI7rGzXCk0ZBz+@^3MAKf(`Nw)2ih__A>
zUza336|JXk5asxIU*QYkRmpa01#wb(K_*0gMyIJA5&fqpee~V>Ys8{4EeHhl@pR-$
zT|m*)cFhv{r<`(?z%Llql)XW@Pls5;zp)O@#g&NC@zhWz7YWpBc1#Qn1(Z9i2Pc7heG
z5Y6(9nYRXiI{Zfl=VSr(y*WDuCry##Zd}^HYI3Wuxk(4S4^=Khvw0`E-nLVJ!6;8%
zX&?QJF86dE6*JK#rWRuhg5X23Jz}qX1cnctl7s-E1=enHkQ3n^{WrQ
zN^muD*?5FE@f0URDk(&akms{@%mDrd?J{4plx_ssqhL*oRg3eLglRhl_IvN2o-Fk5PkGtP%woHKVQn5a~Wo%B-j}
z`$a?=@9!w4tfdxunTG9R$KC>
zWj_18;%}R(xya|-90CJ7xrM{NRM3mxst>E0F)1^0M5gp#7wHZTOZPrsI}>^+P(Px`
zf7=`(W>O=SRBjsg=dil2`V8Z1y-wq?XCe*I(6)t@nw6jH`E>8@jG3R9U{WrL)~OC>
zJxuf7W5vmxSh(;RqmbZv)OowwsdC{i_w=AQDn0tf%eTg?MEg7@jWy=McdRxHzhG1M
z9MD&Li%;YL*7)eNUbV)8PJIa_qV(
zNBh~ab6dmOVzTYJU6HI9?RIcxuhJFWX`Qus)|36tiUg(Q!#FY|JV-r;Ktt~FhplU5
zH@xkd|Mhe%Iav&S?|)0nAN^zh-i6fBn>~Bb7pS{4oZ`%E
z;WV&FvFT1mf`IQhY{vu%UDxag*zgeZ)lP7|7y5Lo>oWiTm%paQy=_AiH7XnI!F-ag
z2B^$zivbZ&oGtX`sjl54?xEio-N(Id^VV5d+*vC4#9SqI3Wo1oHp59pK@6^4br#9j$Y5a(nk%;G^ZNLBZxl
znpa@aef(RiE@X~k>CPKz(Mogo#4}wIqB{PBoW(aZFGPq*^sH+UKCKb{5)6iSq`aaI
zGi8Q;v{B(cPe@U*sMdL(lw>lRDMb)vy{C}{$JZN@W8iesiHo=NoPqlxE<>Pxxq^pq
z?NLN0_vY(dBsqOnR%8>)i%KIM$|ti4({d5Vmw#qrU}r*1^`~o_ae7oBch)n9xjP$f
z(B8M5EzP~R(rBZ4HOXN!$b`Qk_WU>hIbp__NdCHnDf6=RTKB~?1D-kGJt-8ej!!LD
zr*kd?kIlZ3bK#(ok&zw$c~xbofZzhFUpUA)Ae=7A>7YuOYGqs{01#+Lt6S#PQ&hXR
z^%2W{#eZLDf5__D9eWKtTV`Xl5hcmat}gahPOXSuwB1o_>_$^t<=|D|_*vg61d>cf)opK2(VuXZnN-!Y>g--q@I3HNde7PSO7)X~e@zXxMcg3hD
z`d%`RDVDC@j>{+&6{3xJpYGJr!98|~m)yg_J7$2M*YF29Ay56iK$=Fc^3)SEa(?;z
z`CEX-Ix+>?ies9szK*Z|+K#=VX+-4)WdCo5+WJRX!#*2tW&6Ndfx$ngwQng$nUpHD
zX%c=k;IkXp=(Up_t1kPHlu=xqhMu0jdSD6;BGzqm#f9U+OA_Y@@M32f9LeZ`fqld1
zIH<*IFHL#O^o&h(rHO!BoWi@ZxilCMblKAD%po?J-&Gvj!%3zV6)O=#qpN@HSCgXN
z-D;E~{f%Wx*2+#cvo&!4XAk;0>Ja(;z;@wr8yvord);6ryjLGB6@)RtMjO}L3C@jP
zBPW3DNla2ux|1Rel{H&SAH#{&!bZhY)NcLV85M!aJ@e&DCbT>%_;lvx5oipCusE8cH}1({pxp-JaTNLyMwXjbazUa
z#;z`r2`^Uu+u2!u1*hGuzTcNVk8ISOaKyy(G^82!o(TM?eU|=ds`&T=fBfV3WSj3Q
zS4f>bPCqPD#n37$+uQRQ|I861Ja%VQ9(iukC~w<6VQ}N(>HB=o<=^^Ha&P
zOQC-!jupjGIb)rLpFo1*0xdUlh+SrsIMxkK|9T0v>|t|ouN!`?Hs;8*12#n1It5|Z
z){OIUxxPR>!eq6^7+R{B1m>#bq4sv8k?Oli@hvBLucVfiw@~9qKN-5$y!vkwUGm58
zX-{j$-cEeM9MG9MAZv^kAG<{E4YeDE5R*_*foIiMRp2F=8;AB6!OL~6_E9rbR4Fel)^_v80X_`@7pDdCi@~5JUqNGo9DCPivdQsR=GoCLW^oj
za1VI#x9X+0wY`$As9xgR$%AQmd%Md0pV4qwbx=^wGa;$}{SNRY27
z+}zx4hk9K+@eG4?#|TXGkxz2q3=AeGbV-9t>+4~7)FP7XiIerZLG6fY9X(qSh$>H*
z{<9ia-f*tuRa{bUv$`1T>KzdddbHMS3zcs36(4c
z&SD1(--09D!U?M^)k6D!`$jnATnN=d5>r#t=_+&lS+MioI^?6kH5>U9Gf}MBX~CCW
zQi20Ng~aggSuO!q2qr#$FKoIfFzVGwYPI_%@*+*BQeGN?Ku1McUS8$`m+<4AxvAaD
z&rcI7z#(|wUDSDF6a_4UOI=c_vXoidRt_>JtSaC16Gc-Af9dfs@ceVXM5h|dTbvfW
zLD~)cuGDk9k=E70cZjE3z)8e?voL>uLeoG!RkM7Gk(Cuw^pk0J>G+?0I6~e897y=>
z++HGmY>&6GbSRq
zO){`!QUHIAJ((?`%>-ud9M(sV6u_1^{pjNCta3q)fzZ*>adB(wb^aG{iwW8N)yOC)
zIA!-CXZ+7}?eDZSDkf&;<=iBFq=Bu$mM0`~_-
zH`;TWw3s2%Z_LalElVOnWZfB%|Js#ea#8n&aR3R*FA
z^u$mebYMTCd-MojPEIaa%uAprjut;4^Hd^CjlDa9n1z6VU~%7DLxc3gBZFA@Bt1Hu
z5U5fn&!mq~tg9Y7?kc3e_y5Mhv#N~dc
z$a-m=v&Nh$_+6&Fz+ebe%sZ?jpV#tXz3dolC!jAYq`1hYC7L6-rwJMm*iM0VEcJG?a9Q*7<5H*@1C~l
zEWJ!<#oJ?up0Ja>gKBJ#H^#Qn3N?!3KYZx<1WqIOiNr;-A5x5aeaMHV42Xv--1&}5A6H6s
zrxB#`l(I4b*vBB(M*h?(ykAx8PKMug1o-K^
zNEN^Z*oTRSCvRcF`pJFy&h}hw`K)z|CIs3Fi!la`WD-(Rk-M?rPvrjhm)qDE)90r;
zufJLZ2+q5s)z{bK9eqpT4Qs}KJKxlAr+5b!SI*v^3*52}AevSdfgMB`>};IM%1TTu
zENS==cpdGJNZhD-P(vi@1osUBQqrDNqp32z1HYTUez-iuKCGF{FJL;^5}%<;!dOAf
zRW&__Cy56q9~3%p`VfH!DcyYj>=^?B-T(6PasyV3dfpAJhCg8Ul9&5D={x*qr8@%7
zPl~FA?@L)28FOYuAurM4eWdZvP?g_}uOkHH=h*%b%PeoMubi(hJ!;~bo0|(ODn|3>
z!3srLQW8-Q2GkFGdwatm5-E5#&oeK4wH%-311}i5T-84nzW_S$IV^Wk{N*K#*Dp7}
zz(v4E-re{I$Y9vlBI4p|AGewfQK+&fG7(^I&-Sk$J~G{4OpA`O@tHygfIb#ORn){VrizDokGE3;oMJLgBSLIQyT
z&K#-ViTwPT>C}h_D+Gd`!u9pF0R9(c);EKttgIzyWoqozge0)=e(&v#OtK{n_QSNm
z8koK=|A$zJ%KX=Qb0JYv4jhJR4K}L5G#|JV=feih4>bP%`RVV?&4EvUPfkoPI@!5O
z(aP1ev~J0DOQ~}vC8!pDB_x?VdY1cLUYSbN{T)Qp?Zfkniv;N`!`r@vYR}@tPLp4H
zJ;1`UZtZ)+b9i*b7$V(1U#^jLGWWK1qON?4ot63J$F4OM_QW?}z34P(q9PS{JXt92o_d$`|`k!H#{m}moyzPeh%9G
z{an?jFh6{z10-N?Lz$SAG6FSfr=O?@saJ2NxGXTK;3{`OUblKg}u{r&x2>qj%U&mfGj
z1hq@b%7Q^zjYm$arj&}ZavL5|OG}G0xRN!Bri-{3&pGZdO2NqQ%{SZlg?Af+t@_>c
z$8NFV4_mKb!Om#EcWGngA15L0;HVUOL8M5qxf6H_qKY00cAB|IEF;-7PKb8j2k?if7KkTPl>$;r;%fHd}b
z{LcoMW&%gC5p;6DI+lkakg+mdZJLOi*RT{rRghIJ-t=lswgWfpED-!f1jCIq^S%bT&y~`rqqr0mk4fAz!LTctjqZS{tJX4cnSI1rEJ8?
zM(gaAj?MsQ$x|kxf9L1MUEzdC0StC?5l8LUuOxr|{6Re2WfH&KmuZwU4K>>DXUS+A
z94zkH`Bm@4(x|+(xfz+H@7d1@j$5__po^^V6q^jZXWParfbYztJ%9Sts8$L89#7Yw
z4wy6HMij}1q$@Fk^Y(S)W$+s%tCjlYy@)yH)cIW0=!sNnMWdi$OjGZT<=oz4SoNK5s;jH3pv2f1F5_!Ee63Ym|G4qCsF>JT
zz7j3s!$Oz#jl8Vv^vuido}MprZDOLL$eiBjeHYgj8w(48U{OpntmVJ>_ir)kQH#CS
zI`*Tcwo?-+DHK&zRjNGeXugP@N_<8*(zyEr$7@4A3ZysX<@LoL9GELHy;EUT{jr*k
zhSv-S_D585a9d;7V2r78
zO4}PtZBk3n*w7$SJ-ds%aY_=|;ClFPMoRPya}CS|6@lC`J3s=y|evt5OT6
z%~;a&bXyz!_U*aP4r^AOLqjpYp7~0k%c-akKA>_JrFpOjbaBDXm&1b!y?cHa3P8z-k(NKOA6M+@^;9;62M
z7>X)$`oS`=#&$wDsf6`skyG+?@*=vNSf%ASv*`7|6^n%yF;EE8^N#lSB>{dyAPIvh
zti=EGXFPwal!JzbMyt~J7Fe&Lfw+(}77oA&yeaE?daM)2)lc%Y$9b%So-j4Aj5H^v
zh`6xp>gn13P#R2nqyXdqrV13sSEkpqx{TVB*9a|)r3>3O76MGFmU|KpcX{AK-M(Z|
z-S#dn)%C3qB~j7PtdCWSC-D4I&yN|^DWwd~L_T5x&|vxg{d)xjtu#>&B7j}Rr)$ec
zXYNNsg4*e9gcFS!S*wFdRc~7`f>836GF*!cN~1F}XuWcHaaNSqakb_@TJeT!sQIa%
z^dzRI>y`IB2cTlSP*A#=fB*Rh$?~br-rn0IVt;iL&zhT>Y}9NZEh>)BH+c~2l#;eJ
z<7?eLGH7%ivJ|P-8Jc&RmnU>7AOp|sA>%H)<`zXH#5jN<=^v23aHZw=$pj@B3jxJ
zyJ-*r>g<;SJDp{_%GkJZR-8F%7
z1r=a4xb8%Pb=_pYuCK57C-1|4tD`$1(nx*BUvA&$cuc{y>?c6~eeiyrwAx{0V~bFa
zDo|q&yUqmpL_N1Lrhx}M|DeJ#$!!AR03@SN9&0I9N0Hseux}6*$GylHJWRpvc(5$z
zS^;vCfPTP(q9CiHVWdyy11%>fCu%J0s+s88dC#c34S+K2=r5#Rsj3F{C$N|R5HIlr
zdp#;7yctIt2dfLxh?dn!Lv(+Z%37|P3aRhbV
z#o2mB)|drCE7(v^Oj;t^zVTCMRI(4q6jW<)op^eWo2WNQdGo~
zkD&;usNfPk`o#}J<*dNuhiErfFdDdKHzFbpo|9x2kz_XZUmH+QLt%|*AlP_{zw=9gbU0UFAoPF
zjs9`|2X_lDe*r1H=F*Vofb5ZT8>0jG-CO;S`VbOFXLt84U^ZMSFW{dtD@ih!k#x+V
zA57E}MMZg-0XVF2wAxzp^XJcWA|e#B!EnFE%Uu!Mdz-7Pri{VA9fctZd^6((bX5UV
z1hj(Vy@dtK^c;n_o)YaUWgTb<3q(b-Z3Ac|gizGJe&ld*YAbrNT~+6MC4v~--bmEc
zFZ5#hg$7>dU$w1yQ-@etS=(S1-le8S0e3#_1~z7hgobAe?kl(t4O*xmb@vSp%7FfX
zlnI&c-w%MkAr1~)kZ73ZS|O+*M~33Ep#=2?KuV}aaW^Of`@a*Ekm|tx$w>%o0DOr{
ze+c!okX@Qv8qmeOEb9H3DgS18an}|9>HYQVS6+0bN$+g((MqgCTw~*74==B|GlBmG
zSC2t)o7imFT;BRq-g^Co8}<0;C?le&NtN+2-0mVRl5Nf7b&b_Kl2;50nPTYVr4wUcmphyU#(lgn7*Yg$L+hNn)cc
zLzeH=`OFXPu|)utu6P&Qz^BcA#j%n^Qv7u>4Ql-8O&&@Qe8cPSu8Y}t9!1d$t@0xSj?|)wjTJbhJ1xQy_D`Y9{{{;LJah9
z_CzcY)k?$-n24kb)t14ix(zCg*6J+wnl38iw-(?bvXDWCL_|=K3`$Hz0t>K=50=7c
zr3=-hLBY)*&#I^(fYbooWn;3Gve?mtyvJ;?xH=|r;vwX9u)mZC(`t~{vp_9MPmh6o
z2|__T$ng*lT{PIV)G1@n%{G4&mar=@5ea`yFL=gr49jM@F#l6vTpWI5oCIt)$Qi5;
z9|nVh0DN^HemooEyYr)v7`W>6Eh}rf2gS|dC-cSL_^x~4Evs1`+S)1sDG!4Cmn!&h
zW_$pM!O25rpo$wpWO2bWvEHc)_0)%isvXqMs1PgUQh2i*^~e}f11y)tqcc`^c4-I_
z$iixBDmFu4QW6;`C1DcR|8ge(hF6J~fs0=-KodH8dKAzJfN1rBSE#3_2=FD?c3Abg
zu}I5gAaD3P6e@a_--}qXl*56XyEeSm+o#G^jet$9bB|gbkE?V2=%9!4Ez*A$iPSYp
zv;sh1?=<9Ud&48eN&*ADoMQf|JwZuaoAJS)0We+0feWJ(N-+^l2>sXqnigF6D*p=_
zL~=QOeHsiL^0v)6SXV=Npj<8#6#!F_^Sr@C
z3>xdpNpVBj6fjw!5&7d4&>I3kgj|GDLMN#9(|WQfC@Ah*rL~#LtXe2KsY29uFY=ZZ
zDIPq1`V{#NUv)UpQ3E<9H6ZeskzGF697P$7YIj@k39}r}TLNLOx5eiI>Ix8lmR46o
z?hrE@LL9@hm4zGwHJ4yWgtNKPIeOZ_+-)Ik17u><6U16ckC(Yn&($c%)HtkXt7hLt26s0cFOfMGa(qc@D2
z$y6Bojh%n@rU;~J*fqwL(@UpY5Y)bmyfID8gz$8_w-DEQeU6Py#@Pko9{2$~DO83d
z;qi?C#=qq0dLZ+o?KOrF1qa|1c+L>OP$0hl-d}nRhTM6I>5*T)@PKjql;;qXy;hd;
z`-?vbZQ{lC%D|!mLJ$i>G?T6g@;9$JUa_LJYLpwY2>4Rxq|4zglxm2O5+?+M>+6fR
z$czs%u|F(YB;>@U6sTx%ZE9{lXuY}GL#a)M+8jNyfTuWSRUIA|*L$)xWlMTff;UqF
zEY%1kCAh{gn#Fyn!pU^r!HQ*9fy)Ah0Z18gcyYf5AL)9piGG^esF~P
zDG3z%3J4*kA=jDR&pH&)Qup`mWfc^17BPGao;wde2{st5_S)2B~@NUK$Br6eEd0zXp!*TmJTY?J?Jc~AGwgYeXhpV
z;q1^9+DE96C>gCgO~?VNA#X$FbEJwjO1Yqw;c+b?=rLMAe<5@&!CH1$=@G_7(E$(z
zLe&2(^h9HU)R~I%UyW|&<7KaF@gS0JKrjSi8miyy*$#Lck~z9zgg-M0maX@Fuy!{*
zJ6wfChP*!L-nynGyYOCJJw1R+81LV|wYs{B+{HvhMDHM0LXwaw)yOeu^>wW*0CJ49
zh1YHMr3TAzaxqUn%H_kZ2x6o#0FvFCSANJ+kj=C|QeE(DrUBDwW4&O2z_($e0DS8N
zK@|C>Ak0HnooA-XpRwtIf|xyEDUbq@;Hu8^gdOTm5V#hPbsj+RuEO)g3fa>DVl%m@
zdqq0Mm!>8vkQ6!~&Sg$*5mHe_bDQ+Ejf~(kC)|Mon-u(PyX2tOW(GB=-5>myQ7bNY
zVFgXH1~l$b$G$`daWbS*Mg4YRc!3L0MT?!VshX-G9EZ
zIZ^zh*~<-8vQ(!!n@rz5ApGIHC?f+yUuS0!8~`Z~%}40|7}Oy0a2g6F?Mw
z&YTbt9uAX*dygj=VmByHsvw|36)6Ua9u|G?=oQPIpw{zydAZ{{BR*aV+}P>rbroeo
zak7Gg(T&MN*M`#v^ZEw|bCQ$Ek>d!}(=ph0PuUaygOY)%nHdqG3S><-diwS}&KP+a
z$NIE+k9BGW2CyP0x`l!9UwQc>TyU9!C?$g$;O~2VW-c%SCB}%}73AMpLS>4Cocsx(
zP-oE0*!?78!>|>V`5cRgNjNzLJSP-
zY;5#z-@c^~vZvdM)XpCt%ajUY<>DI6@-kz{1{(9q*_rR6)n%UqD@094=b5Z5Xw`Hy
zaSBk+5(w;=#Y23xnqaSq{v_r_)XDYLWlQ69`sVtt1gfNFnXbd^qoGtmmP)M`=EG_9
z3{n1v2M6?_Mi#)jxB0ufx+==*qoShv$Hx;u6Of^Z2@QX^n+x$0xlViY#nG#?}+CPXz6353l1
z5)u-ynn=BD+5>NOap6!4I|he`&wC%e{ICCwfF;bD3}OSsFFJ;7C;`FE3-~lawG-yd
zCF@s+(>V$ztbm;eI8Y-Cfv};;2no|A{5~P3ztMz04D>f5KL-LC5ss9$NoZ&k
zq2a>RfUBg6HMR$>cB?RA92&J!Z(hB61)~}X$Pspb;FUL&n}A35_4OeM83K_bAM@oY
zFH|WJZ4lY0CKHpBF$>iqLD-gr3Ni@f$ndOFZ50BUAt<~8Mh}NlphROz*+Z{u6RWWy
zU2l@3Mnje%UQe4RB|1jJD27N=c+vsP<3XVGx(1Xfh0KrT2Ka46K}>vnBrp{&vmb!f
zP$sQwxXo#h{end-rKa}&B@IoS=7XRfm=>8m@q8*?Z7px1!hYL)^yzhl=Y6Aos{7|FmhL+32
z=kGs!SO!)e1{?s0YbB`qI`xO^?)%W^^pZ;9;Fh$E40TTt#zXOoKf{Wjk+Z`*T$T9m
zpL@OwL?vXi29!+$CFvyBhtuPelf$9txA?msK5qQ2q&m}{L@<+CC=y#aK~gX=Xcnje
zRQ?4{pBNg_L3FJ!?#7Cy6vTs!3=IlRhGbnu4C)+BX#T0Glv^RS4DfIa@ddL2Xoh~Z
zu;eOJN!g9>{)g=JfD6RGd*=_N5NgWzHooT~`HGEe*2^>@LJ5iQrsN33t(m8?Qfk-#
z7~%0lVOvTu#2fx7P!Vu>nJzM6ltyNK84o2vI#50V!*_?`QdU4050H5bSg&1>Ev%gN
zsPJhNl|_--5fEx@az2Z9F$B}q)?{V6^{61xivNS&KY@T~s5iy}l!Y(aEzckVw*y!v
zBq9m~%|()lC=2pC68athn_}SP!~>RucQnbLt>;5XOpJyQ@;GE7A|{?$f#C~kH>|My
z3rU~b?xzq^^oDrfT{R-^rQ`y^p8~X7sGhtDiPS0W0j18yHCkQnXl)2O%IQFg@jSLT
zt%ID8M2fJI5N(ZnEm5#zO`zs$ld%rH6#3&b==8|Cl(Dff5^De;!$XFG
zQ0MlcL1hKVOc2x&Af5w@*#{k=GJYL|btLwNhLv8k=jNsuxD@D#&q6@BtOzRQN8bWs
zUYz#Q-OCHDqClA@*vh!g9|aQ!rwiso>+c_6&*e>rSfC%xaAf(*(KR$Su7I2(HS$Sp
zPxyEhh8y}LLhtdKWrBnZJlh@ew2GFN)(Q{&3Ab?bhG(O!
zG8-~BH-wSzgxi~TjFD#qCI6#t!Dt>H3o8w`=kZ1WG&UGQ%>mg^0P{*nNr?^P`%tfe
z#9vOL889?-KS8$xDhPDafODbmA`sbTHaIwFc?Ojuke@=Ic3ftS;*jT)^wYB8*bpF4-Mn(ZaL1+yP
z4VYn_U~+VHe*TP(fNPyABQGxxY7(70u9|5!lT%Zbb2|XME`239lcFs629}o@d|NX<
zex%UQ)Pw{hl&%=qPN$fkkdQ#k5Z|Y?mvSlM$+k#arp#*Z?hehth2%eWcXpQSg^FDJ
zLX9dK8=q$>XI51uD6^_@W3!S*+1T0|kzS|M`c;m_^?1>%gM=AO5Zsryi
zdd;d5af9OG;sBSL;%E4@od0f3zdkzRO-)TD50wIg(v_7Jb#t-W+S-y>z8?EKtme{Dv7w?pXU-C
zxTiUbynOYF7(z$(?%=8;tcdxAg*zBQ?#=p+^;A<+Q>HE}>-qwMf|^&%e}S?^*70zZKFa$R!~$GCYh2F)mHzO_es-+Q9TeRdS(8
z`Ye@=RkkJI4Nw36K39OGzrE16l@&&7Yil7YJis>-#4&y4*_i}q%!*1%5%M{@y1L4m
zn!SsQbiBO0d;$X3ySe=aic<6p3?GimSqKR$KW7pU5
+image/svg+xmlTLS Rigid Motion Demo16Tree with moving leavesLeaf meshPoints coloured byscan position

From 22633f735ced2fd9113b841760942c4aa42cb94f Mon Sep 17 00:00:00 2001
From: han16nah 
Date: Fri, 25 Aug 2023 13:42:28 +0200
Subject: [PATCH 09/10] minor modification

---
 example_notebooks/16-tls_tree_dynamic.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/example_notebooks/16-tls_tree_dynamic.ipynb b/example_notebooks/16-tls_tree_dynamic.ipynb
index 6a37d79db..10d9ccae0 100644
--- a/example_notebooks/16-tls_tree_dynamic.ipynb
+++ b/example_notebooks/16-tls_tree_dynamic.ipynb
@@ -622,7 +622,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#!\"run/helios\" data/surveys/dyn/tls_tree1_dyn.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
+    "!\"run/helios\" data/surveys/dyn/tls_tree1_dyn.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
    ]
   },
   {
@@ -631,7 +631,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# !\"run/helios\" data/surveys/dyn/tls_tree1_static.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
+    "!\"run/helios\" data/surveys/dyn/tls_tree1_static.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
    ]
   },
   {

From a494fe0f1ab0212305d70ebe95a17e086ff7a549 Mon Sep 17 00:00:00 2001
From: han16nah 
Date: Tue, 10 Oct 2023 10:25:29 +0200
Subject: [PATCH 10/10] some fixes in notebook, change tree nb to number 15
 instead of 16

---
 README.md                                     |    2 +-
 example_notebooks/15-tls_tree_dynamic.ipynb   | 1134 +++++++++++++++++
 example_notebooks/16-tls_tree_dynamic.ipynb   | 1091 ----------------
 img/{example16.gif => example15.gif}          |  Bin
 img/example15_thumbnail.png                   |  Bin 0 -> 50527 bytes
 ..._thumbnail.svg => example15_thumbnail.svg} |  572 ++-------
 img/example16_thumbnail.png                   |  Bin 50836 -> 0 bytes
 7 files changed, 1234 insertions(+), 1565 deletions(-)
 create mode 100644 example_notebooks/15-tls_tree_dynamic.ipynb
 delete mode 100644 example_notebooks/16-tls_tree_dynamic.ipynb
 rename img/{example16.gif => example15.gif} (100%)
 create mode 100644 img/example15_thumbnail.png
 rename img/{example16_thumbnail.svg => example15_thumbnail.svg} (87%)
 delete mode 100644 img/example16_thumbnail.png

diff --git a/README.md b/README.md
index 8daab6abe..e7948b91e 100644
--- a/README.md
+++ b/README.md
@@ -70,7 +70,7 @@ keywords = {Software, LiDAR simulation, Point cloud, Data generation, Voxel, Veg
 | [![Example 9](img/example9_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/9-tls_livox_demo.ipynb)   | [![Example 10](img/example10_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/10-uls_toyblocks_livox.ipynb)            |
 | [![Example 11](img/example11_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/11-als_toyblock_multi_scanner_livox.ipynb)   | [![Example 12](img/example12_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/12-multi_scanner_puck.ipynb)            |
 | [![Example 13](img/example13_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/13-interpolated_trajectory.ipynb)   | [![Example 14](img/example14_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/14-urban_mls_dynamic.ipynb) |
-|   | [![Example 16](img/example16_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/16-tls_tree_dynamic.ipynb) |
+| [![Example 15](img/example15_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/15-tls_tree_dynamic.ipynb) |  |
 
 
 
diff --git a/example_notebooks/15-tls_tree_dynamic.ipynb b/example_notebooks/15-tls_tree_dynamic.ipynb
new file mode 100644
index 000000000..57c0b0dc2
--- /dev/null
+++ b/example_notebooks/15-tls_tree_dynamic.ipynb
@@ -0,0 +1,1134 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Terrestrial Laser Scanning of a Small Apple Tree with Leaf Flutter\n",
+    "\n",
+    "Notebook: Hannah Weiser, 2023\n",
+    "\n",
+    "This is a demonstration of scanning a [dynamic scene](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes), consisting of a tree with moving leaves.\n",
+    "\n",
+    "We will use the command-line access of HELIOS++ to run the simulation, and use Python just for displaying the input XMLs and the resulting point clouds."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T14:57:47.799832Z",
+     "start_time": "2023-08-24T14:57:47.400770Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import sys, os\n",
+    "from pathlib import Path\n",
+    "from IPython.display import Code\n",
+    "\n",
+    "current_folder = globals()['_dh'][0]\n",
+    "helios_path = str(Path(current_folder).parent)\n",
+    "sys.path.append(helios_path)  # add helios-plusplus directory to PATH\n",
+    "import pyhelios\n",
+    "\n",
+    "from pyhelios.util.xmldisplayer import display_xml, find_playback_dir\n",
+    "\n",
+    "os.chdir(helios_path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Scene\n",
+    "\n",
+    "The scene was generated in [Blender](https://www.blender.org/) using three add-ons:\n",
+    "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were [separated \"By Loose Parts\"](https://docs.blender.org/manual/en/latest/modeling/meshes/editing/mesh/separate.html). This way, each leaf can be moved individually.\n",
+    "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g., Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles $X$, $Y$ and $Z$ will be sampled at each time step. In this case, half of the leaves are moving with an oscillation frequency of 6 and a rotation angle normal distribution $N(0°, 16°)$ for $X$ and  $N(0°, 4°)$ for $Y$ and $Z$.\n",
+    "- [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h): This add-on allows exporting dynamic Blender scenes (i.e., scenes with rigid motions) to HELIOS++ sceneparts and scenes. It considers translations and rotations.\n",
+    "\n",
+    "This is what the Blender animation looks like:\n",
+    "![moving_tree](https://github.com/3dgeo-heidelberg/helios/blob/dev/img/example15.gif?raw=true \"moving_tree\")\n",
+    "\n",
+    "Finally, further modifications were made:\n",
+    "- A wavefront material template library (MTL) was assigned (`leafwood.mtl`), which contains `helios_spectra` and `helios_classification` for the different materials (`Leaves` and `TrunksAndBranches`) to assign realistic reflectance values and to create an automatic classification of the output point cloud.\n",
+    "\n",
+    "The exported dynamic scene is very large, but you can have a look [here](https://github.com/3dgeo-heidelberg/helios/blob/dev/data/scenes/movingtrees/tree10_a.xml). Let's have a look at how the sceneparts are configured."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Static Scene Parts\n",
+    "\n",
+    "For the static sceneparts, we simply load the 3D models from the corresponding OBJ files. For completeness, we also set the \"up axis\" to \"z\", which is also the HELIOS++ default.\n",
+    "\n",
+    "```XML\n",
+    "\n",
+    "    \n",
+    "        \n",
+    "        \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "\n",
+    "\n",
+    "    \n",
+    "        \n",
+    "        \n",
+    "    \n",
+    "    \n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dynamic Scene Parts\n",
+    "\n",
+    "The dynamic sceneparts are much more complex. After loading the 3D model from a file, we are applying a sequence of rigid motions.\n",
+    "\n",
+    "```XML\n",
+    "\n",
+    "    \n",
+    "        \n",
+    "        \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "\n",
+    "....\n",
+    "\n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "      \n",
+    "      \n",
+    "    \n",
+    "\n",
+    "```\n",
+    "\n",
+    "Within a rigid motion (`dmotion`), different motions can be combined. HELIOS++ supports translation, rotation, reflection, glide plane, helical motion and rotational symmetry (see [Dynamic scenes](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes)). The [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h) Blender add-on support translation and rotation, which can be seen in the XML syntax above.\n",
+    "\n",
+    "Rotations are provided as `axis`-`angle` rotations, with angles in degrees. In addition a rotation center can be provided using the `center` parameter. The `autoCRS` parameter is used to automatically translate the rotation center to the internal reference system of the simulation.\n",
+    "\n",
+    "Using the parameters `id` and `next`, individual rigid motions can be chained together. The `loop` parameter determines how often each motion is executed. If no `next` ID is provided, the motion sequence is terminated. In our case, we want to create a never ending loop, so we define the first motion as `next` in the last motion and set the rotation so that the leaf is back at its original orientation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Platform and Scanner\n",
+    "\n",
+    "We are performing a terrestrial laser scanning (TLS) simulation from a static tripod with a RIEGL VZ-400. Platform and scanner are shown below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T14:57:47.840833Z",
+     "start_time": "2023-08-24T14:57:47.801834Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
<platform id="tripod" name="TLS Tripod" type="static" drag="0">\n",
+       "\t\t<scannerMount x="0" y="0" z="1.5">\n",
+       "\t\t</scannerMount>\n",
+       "\t</platform>\n",
+       "    \n",
+       "    \n",
+       "
\n"
+      ],
+      "text/latex": [
+       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
+       "\\PY{n+nt}{\\PYZlt{}platform}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}TLS Tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{type=}\\PY{l+s}{\\PYZdq{}static\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{drag=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}scannerMount}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/scannerMount\\PYZgt{}}\n",
+       "\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/platform\\PYZgt{}}\n",
+       "\\PY{+w}{    }\n",
+       "\\PY{+w}{    }\n",
+       "\\end{Verbatim}\n"
+      ],
+      "text/plain": [
+       "\n",
+       "\t\t\n",
+       "\t\t\n",
+       "\t\n",
+       "    \n",
+       "    "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Code(display_xml('data/platforms.xml', 'tripod'), language='XML')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T14:57:49.147915Z",
+     "start_time": "2023-08-24T14:57:49.113915Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
<scanner id="riegl_vz400" name="RIEGL VZ-400" accuracy_m="0.005" beamDivergence_rad="0.0003" headRotatePerSecMax_deg="60" optics="rotating" pulseFreqs_Hz="100000,300000" pulseLength_ns="5" rangeMin_m="1.5" scanAngleMax_deg="120" scanAngleEffectiveMax_deg="50" scanFreqMin_Hz="3" scanFreqMax_Hz="120">\n",
+       "\t\t\n",
+       "\t\t<FWFSettings beamSampleQuality="3" />\t\n",
+       "\t\t<beamOrigin x="0" y="0" z="0.2">\n",
+       "\t\t\t<rot axis="y" angle_deg="0" />\n",
+       "\t\t\t<rot axis="z" angle_deg="0" />\n",
+       "\t\t\t<rot axis="x" angle_deg="0" />\n",
+       "\t\t</beamOrigin>\n",
+       "\t\t<headRotateAxis x="0" y="0" z="1" />\n",
+       "\t\t\n",
+       "\t</scanner>\n",
+       "\t\n",
+       "
\n"
+      ],
+      "text/latex": [
+       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
+       "\\PY{n+nt}{\\PYZlt{}scanner}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}RIEGL VZ\\PYZhy{}400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{accuracy\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}0.005\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{beamDivergence\\PYZus{}rad=}\\PY{l+s}{\\PYZdq{}0.0003\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotatePerSecMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}60\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{optics=}\\PY{l+s}{\\PYZdq{}rotating\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreqs\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}100000,300000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseLength\\PYZus{}ns=}\\PY{l+s}{\\PYZdq{}5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{rangeMin\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleEffectiveMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}50\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMin\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMax\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t}\n",
+       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}FWFSettings}\\PY{+w}{ }\\PY{n+na}{beamSampleQuality=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t}\n",
+       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}beamOrigin}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.2\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}y\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}z\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/beamOrigin\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}headRotateAxis}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{\t\t}\n",
+       "\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/scanner\\PYZgt{}}\n",
+       "\\PY{+w}{\t}\n",
+       "\\end{Verbatim}\n"
+      ],
+      "text/plain": [
+       "\n",
+       "\t\t\n",
+       "\t\t\t\n",
+       "\t\t\n",
+       "\t\t\t\n",
+       "\t\t\t\n",
+       "\t\t\t\n",
+       "\t\t\n",
+       "\t\t\n",
+       "\t\t\n",
+       "\t\n",
+       "\t"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Code(display_xml('data/scanners_tls.xml', 'riegl_vz400'), language='XML')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Survey\n",
+    "\n",
+    "Six scan positions are created, regularly distributed on a circle around the tree. From each position, the scanner is pointing towards the tree and scans in a horizontal field of view of 90° and a vertical FOV of 100°. Vertical and horizontal resolution are set to 0.04 ° which corresponds to a point spacing of 7 mm at 10 m range."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T14:57:51.772948Z",
+     "start_time": "2023-08-24T14:57:51.743947Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
<document>\n",
+       "        <scannerSettings id="tls" active="true" pulseFreq_hz="600000" verticalResolution_deg="0.04" horizontalResolution_deg="0.04" />\n",
+       "        <survey name="tls_tree1_dyn" platform="data/platforms.xml#tripod" scanner="data/scanners_tls.xml#riegl_vz400" scene="data/scenes/dyn/tree1_dyn.xml#tree1">\n",
+       "            <leg>\n",
+       "            <platformSettings x="3.0000" y="0.0000" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="45.0000" headRotateStop_deg="135.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="1.5000" y="2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="105.0000" headRotateStop_deg="195.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="-1.5000" y="2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-195.0000" headRotateStop_deg="-105.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="-3.0000" y="0.0000" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-135.0000" headRotateStop_deg="-45.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="-1.5000" y="-2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-75.0000" headRotateStop_deg="15.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        <leg>\n",
+       "            <platformSettings x="1.5000" y="-2.5981" z="0" onGround="true" />\n",
+       "            <scannerSettings template="tls" headRotateStart_deg="-15.0000" headRotateStop_deg="75.0000" trajectoryTimeInterval_s="0.05" />\n",
+       "        </leg>\n",
+       "        \n",
+       "        </survey>\n",
+       "    </document>\n",
+       "
\n"
+      ],
+      "text/latex": [
+       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
+       "\\PY{n+nt}{\\PYZlt{}document}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{active=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreq\\PYZus{}hz=}\\PY{l+s}{\\PYZdq{}600000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{verticalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{horizontalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}survey}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}tls\\PYZus{}tree1\\PYZus{}dyn\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{platform=}\\PY{l+s}{\\PYZdq{}data/platforms.xml\\PYZsh{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanner=}\\PY{l+s}{\\PYZdq{}data/scanners\\PYZus{}tls.xml\\PYZsh{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scene=}\\PY{l+s}{\\PYZdq{}data/scenes/dyn/tree1\\PYZus{}dyn.xml\\PYZsh{}tree1\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}105.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}195.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}195.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}105.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}75.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}15.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}15.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}75.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
+       "\\PY{+w}{        }\n",
+       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/survey\\PYZgt{}}\n",
+       "\\PY{+w}{    }\\PY{n+nt}{\\PYZlt{}/document\\PYZgt{}}\n",
+       "\\end{Verbatim}\n"
+      ],
+      "text/plain": [
+       "\n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "            \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "    "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Code(display_xml('data/surveys/dyn/tls_tree1_dyn.xml'), language='XML')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Running the Simulations\n",
+    "\n",
+    "Let's run the simulation. Just for comparison, we are also running a simulation of a static version of the same scene.\n",
+    "The simulation of the dynamic scene will take considerably longer than the one with the static scene."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "start = time.time()\n",
+    "!\"run/helios\" data/surveys/dyn/tls_tree1_dyn.xml \"--lasOutput\" \"--zipOutput\" \"-q\" \"--rebuildScene\" \"-j\" \"6\"\n",
+    "duration_dyn = time.time() - start"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "start = time.time()\n",
+    "!\"run/helios\" data/surveys/dyn/tls_tree1_static.xml \"--lasOutput\" \"--zipOutput\" \"-q\" \"--rebuildScene\" \"-j\" \"6\"\n",
+    "duration_static = time.time() - start"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Duration for dynamic simulation: 2778.7 s\n",
+      "Duration for static simulation:    66.7 s\n",
+      "\n",
+      "On this system, dynamic simulations took 41.7 times longer.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"\"\"\n",
+    "Duration for dynamic simulation: {duration_dyn:6.1f} s\n",
+    "Duration for static simulation:  {duration_static:6.1f} s\n",
+    "\n",
+    "On this system, dynamic simulations took {duration_dyn/duration_static:.1f} times longer.\n",
+    "\"\"\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Loading the Simulated Point Clouds\n",
+    "\n",
+    "We are loading the simulated point clouds and their attributes with [laspy](https://laspy.readthedocs.io/en/latest/) to `numpy` arrays and merge the individual scan positions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T14:57:56.500130Z",
+     "start_time": "2023-08-24T14:57:55.415394Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import laspy\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_pc(path, pt_src_id):\n",
+    "    las = laspy.read(path)\n",
+    "    pc = np.array([las.x, las.y, las.z]).T\n",
+    "    object_id = las['hitObjectId']\n",
+    "    classification = las['classification']\n",
+    "    pt_src_id = np.repeat(pt_src_id, pc.shape[0])\n",
+    "\n",
+    "    return pc, object_id, classification, pt_src_id"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T15:53:36.006928Z",
+     "start_time": "2023-08-24T15:53:35.504869Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading points from output/tls_tree1_dyn/2023-10-10_09-02-54\n",
+      "Merging files\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Dynamic point cloud\n",
+    "output_path = find_playback_dir('data/surveys/dyn/tls_tree1_dyn.xml')\n",
+    "\n",
+    "print('Loading points from', Path(output_path).relative_to(helios_path).as_posix())\n",
+    "\n",
+    "pc_1, object_id_1, classification_1, pt_src_id_1 = read_pc(Path(output_path) / 'leg000_points.laz', 1)\n",
+    "pc_2, object_id_2, classification_2, pt_src_id_2 = read_pc(Path(output_path) / 'leg001_points.laz', 2)\n",
+    "pc_3, object_id_3, classification_3, pt_src_id_3 = read_pc(Path(output_path) / 'leg002_points.laz', 3)\n",
+    "pc_4, object_id_4, classification_4, pt_src_id_4 = read_pc(Path(output_path) / 'leg003_points.laz', 4)\n",
+    "pc_5, object_id_5, classification_5, pt_src_id_5 = read_pc(Path(output_path) / 'leg004_points.laz', 5)\n",
+    "pc_6, object_id_6, classification_6, pt_src_id_6 = read_pc(Path(output_path) / 'leg005_points.laz', 6)\n",
+    "\n",
+    "print('Merging files')\n",
+    "\n",
+    "pc = np.vstack((pc_1, pc_2, pc_3, pc_4, pc_5, pc_6))\n",
+    "object_id = np.hstack((object_id_1, object_id_2, object_id_3, object_id_4, object_id_5, object_id_6))\n",
+    "classification = np.hstack((classification_1, classification_2, classification_3, classification_4, classification_5, classification_6))\n",
+    "pt_src_id = np.hstack((pt_src_id_1, pt_src_id_2, pt_src_id_3, pt_src_id_4, pt_src_id_5, pt_src_id_6))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading points from output/tls_tree1_static/2023-10-10_09-49-11\n",
+      "Merging files\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Static point cloud\n",
+    "output_path_2 = find_playback_dir('data/surveys/dyn/tls_tree1_static.xml')\n",
+    "\n",
+    "print('Loading points from', Path(output_path_2).relative_to(helios_path).as_posix())\n",
+    "\n",
+    "pc_s_1, object_id_s_1, classification_s_1, pt_src_id_s_1 = read_pc(Path(output_path_2) / 'leg000_points.laz', 1)\n",
+    "pc_s_2, object_id_s_2, classification_s_2, pt_src_id_s_2 = read_pc(Path(output_path_2) / 'leg001_points.laz', 2)\n",
+    "pc_s_3, object_id_s_3, classification_s_3, pt_src_id_s_3 = read_pc(Path(output_path_2) / 'leg002_points.laz', 3)\n",
+    "pc_s_4, object_id_s_4, classification_s_4, pt_src_id_s_4 = read_pc(Path(output_path_2) / 'leg003_points.laz', 4)\n",
+    "pc_s_5, object_id_s_5, classification_s_5, pt_src_id_s_5 = read_pc(Path(output_path_2) / 'leg004_points.laz', 5)\n",
+    "pc_s_6, object_id_s_6, classification_s_6, pt_src_id_s_6 = read_pc(Path(output_path_2) / 'leg005_points.laz', 6)\n",
+    "\n",
+    "print('Merging files')\n",
+    "\n",
+    "pc_s = np.vstack((pc_s_1, pc_s_2, pc_s_3, pc_s_4, pc_s_5, pc_s_6))\n",
+    "object_id_s = np.hstack((object_id_s_1, object_id_s_2, object_id_s_3, object_id_s_4, object_id_s_5, object_id_s_6))\n",
+    "classification_s = np.hstack((classification_s_1, classification_s_2, classification_s_3, classification_s_4, classification_s_5, classification_s_6))\n",
+    "pt_src_id_s = np.hstack((pt_src_id_s_1, pt_src_id_s_2, pt_src_id_s_3, pt_src_id_s_4, pt_src_id_s_5, pt_src_id_s_6))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualization\n",
+    "\n",
+    "First, let's plot the full point cloud, coloured by a) Object ID and b) Classification."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T15:53:48.363756Z",
+     "start_time": "2023-08-24T15:53:46.963776Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Matplotlib figure\n",
+    "fig = plt.figure(figsize=(12, 6))\n",
+    "\n",
+    "# First subplot\n",
+    "ax1 = fig.add_subplot(1,2,1, projection='3d', computed_zorder=False)\n",
+    "sc1 = ax1.scatter(pc[::10, 0],\n",
+    "                  pc[::10, 1],\n",
+    "                  pc[::10, 2],\n",
+    "                  c=object_id[::10], cmap='prism',\n",
+    "                  s=0.02, zorder=1)\n",
+    "ax1.set_title(label='a) Coloured by Object ID', fontsize=16, pad=20)\n",
+    "\n",
+    "# Second subplot\n",
+    "from matplotlib.colors import LinearSegmentedColormap\n",
+    "colours = ['#784e10', '#2f7810']\n",
+    "class_cmap = LinearSegmentedColormap.from_list('classification', colours, N=2)\n",
+    "\n",
+    "ax2 = fig.add_subplot(1,2,2, projection='3d', computed_zorder=False)\n",
+    "sc2 = ax2.scatter(pc[::10, 0],\n",
+    "                  pc[::10, 1],\n",
+    "                  pc[::10, 2],\n",
+    "                  c=classification[::10], cmap=class_cmap,\n",
+    "                  s=0.02, zorder=1)\n",
+    "ax2.set_title(label='b) Coloured by Classification', fontsize=16, pad=20)\n",
+    "\n",
+    "for ax in [ax1, ax2]:\n",
+    "    ax.set_xlabel('$X$')\n",
+    "    ax.set_ylabel('$Y$')\n",
+    "    ax.set_zlabel('$Z$', labelpad=15)\n",
+    "    ax.set_xticks([-0.4, 0, 0.4])\n",
+    "    ax.set_yticks([-0.4, 0, 0.4])\n",
+    "    # set equal axes\n",
+    "    box = (np.ptp(pc[:, 0]), np.ptp(pc[:, 1]), np.ptp(pc[:, 2]))\n",
+    "    ax.set_box_aspect(box)\n",
+    "\n",
+    "# Adjust subplots\n",
+    "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n",
+    "                    wspace=0.02, hspace=0.02)\n",
+    "# Add color bar and set ticks and tick labels\n",
+    "cb_ax = fig.add_axes([0.83, 0.25, 0.01, 0.5])\n",
+    "tick_locs = [0.25, 0.75]\n",
+    "cbar = fig.colorbar(sc2, cax=cb_ax, ticks=tick_locs)\n",
+    "cbar.ax.set_yticklabels(['wood', 'leaf'], fontsize=15)\n",
+    "\n",
+    "# Display results\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we zoom in a bit to see more detail and compare the static to the moving point cloud."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T15:53:50.486726Z",
+     "start_time": "2023-08-24T15:53:50.461725Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Select a subset of the point cloud\n",
+    "def clip_by_bb(pts, xmin, xmax, ymin, ymax, zmin, zmax):\n",
+    "    clip_index = ((pts[:, 0] > xmin) &\n",
+    "                  (pts[:, 0] < xmax) &\n",
+    "                  (pts[:, 1] > ymin) &\n",
+    "                  (pts[:, 1] < ymax) &\n",
+    "                  (pts[:, 2] > zmin) &\n",
+    "                  (pts[:, 2] < zmax))\n",
+    "    return clip_index\n",
+    "\n",
+    "# clip static point cloud\n",
+    "clip_idx = clip_by_bb(pc_s, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n",
+    "pc_s_clipped = pc_s[clip_idx]\n",
+    "pt_src_id_s_clipped = pt_src_id_s[clip_idx]\n",
+    "object_id_s_clipped = object_id_s[clip_idx]\n",
+    "\n",
+    "# clip dynamic point cloud and additionally filter by object ids (which are in static point cloud)\n",
+    "clip_idx = clip_by_bb(pc, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n",
+    "oid_idx = np.isin(object_id, list(set(object_id_s_clipped)))\n",
+    "clip_and_oid_idx = np.logical_and(clip_idx, oid_idx)\n",
+    "pc_clipped = pc[clip_and_oid_idx]\n",
+    "pt_src_id_clipped = pt_src_id[clip_and_oid_idx]\n",
+    "object_id_clipped = object_id[clip_and_oid_idx]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T15:53:55.703656Z",
+     "start_time": "2023-08-24T15:53:54.043677Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Matplotlib figure\n",
+    "fig = plt.figure(figsize=(10, 8))\n",
+    "\n",
+    "# random color map\n",
+    "cmap = plt.cm.colors.ListedColormap(np.random.rand(256, 3))\n",
+    "\n",
+    "# First subplot\n",
+    "ax1 = fig.add_subplot(2,2,1, projection='3d', computed_zorder=False)\n",
+    "sc1 = ax1.scatter(pc_s_clipped[:, 0],\n",
+    "                  pc_s_clipped[:, 1],\n",
+    "                  pc_s_clipped[:, 2],\n",
+    "                  c=object_id_s_clipped, cmap=cmap,\n",
+    "                  s=0.05, zorder=1)\n",
+    "ax1.set_title(label='Coloured by Object ID', fontsize=14)\n",
+    "# Second subplot\n",
+    "\n",
+    "ax2 = fig.add_subplot(2,2,2, projection='3d', computed_zorder=False)\n",
+    "sc2 = ax2.scatter(pc_s_clipped[:, 0],\n",
+    "                  pc_s_clipped[:, 1],\n",
+    "                  pc_s_clipped[:, 2],\n",
+    "                  c=pt_src_id_s_clipped, cmap='gist_rainbow',\n",
+    "                  s=0.05, zorder=1)\n",
+    "ax2.set_title(label='Coloured by Scan Position', fontsize=14)\n",
+    "\n",
+    "# Third subplot\n",
+    "ax3 = fig.add_subplot(2,2,3, projection='3d', computed_zorder=False)\n",
+    "sc3 = ax3.scatter(pc_clipped[:, 0],\n",
+    "                  pc_clipped[:, 1],\n",
+    "                  pc_clipped[:, 2],\n",
+    "                  c=object_id_clipped, cmap=cmap,\n",
+    "                  s=0.05, zorder=1)\n",
+    "# ax3.set_title(label='c) Coloured by Object ID', fontsize=14)\n",
+    "\n",
+    "# Fourth subplot\n",
+    "ax4 = fig.add_subplot(2,2,4, projection='3d', computed_zorder=False)\n",
+    "sc4 = ax4.scatter(pc_clipped[:, 0],\n",
+    "                  pc_clipped[:, 1],\n",
+    "                  pc_clipped[:, 2],\n",
+    "                  c=pt_src_id_clipped, cmap='gist_rainbow',\n",
+    "                  s=0.05, zorder=1)\n",
+    "# ax4.set_title(label='d) Coloured by Scan Position', fontsize=14)\n",
+    "\n",
+    "for ax in [ax1, ax2, ax3, ax4]:\n",
+    "    ax.set_xlabel('$X$')\n",
+    "    ax.set_ylabel('$Y$')\n",
+    "    ax.set_zlabel('$Z$')\n",
+    "    box = (np.ptp(pc_clipped[:, 0]), np.ptp(pc_clipped[:, 1]), np.ptp(pc_clipped[:, 2]))\n",
+    "    ax.set_box_aspect(box)\n",
+    "    ax.view_init(elev=15, azim=170)\n",
+    "\n",
+    "fig.text(0.1, 0.7, 'Static', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n",
+    "fig.text(0.1, 0.3, 'Dynamic', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n",
+    "# Adjust subplots\n",
+    "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.9,\n",
+    "                    wspace=0.0, hspace=0.0)\n",
+    "\n",
+    "# Display results\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's have a look at a few of the leaves, some of which are static and some of which are moving."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T16:01:37.567366Z",
+     "start_time": "2023-08-24T16:01:37.544368Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "moving_leaves = [35, 57, 63, 73, 89, 124, 125, 130]\n",
+    "static_leaves = [167, 189, 195, 200, 220, 242, 251, 260]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T16:02:17.903157Z",
+     "start_time": "2023-08-24T16:02:17.005163Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(12, 6))\n",
+    "\n",
+    "for i, leaf_id in enumerate(static_leaves):\n",
+    "    sel_idx = object_id == leaf_id\n",
+    "    pc_sel = pc[sel_idx]\n",
+    "    pt_src_id_sel = pt_src_id[sel_idx]\n",
+    "\n",
+    "    ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n",
+    "    sc = ax.scatter(pc_sel[:, 0],\n",
+    "                     pc_sel[:, 1],\n",
+    "                     pc_sel[:, 2],\n",
+    "                     c=pt_src_id_sel, cmap='gist_rainbow',\n",
+    "                     s=0.4, zorder=1)\n",
+    "    ax.tick_params(labelbottom=False, labelleft=False)\n",
+    "    ax.view_init(elev=15, azim=45)\n",
+    "    # set equal axes\n",
+    "    box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n",
+    "    ax.set_box_aspect(box)\n",
+    "fig.suptitle('Static leaves', fontsize=16)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-08-24T16:02:23.703117Z",
+     "start_time": "2023-08-24T16:02:23.026120Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(12, 6))\n",
+    "\n",
+    "for i, leaf_id in enumerate(moving_leaves):\n",
+    "    sel_idx = object_id == leaf_id\n",
+    "    pc_sel = pc[sel_idx]\n",
+    "    pt_src_id_sel = pt_src_id[sel_idx]\n",
+    "\n",
+    "    ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n",
+    "    sc = ax.scatter(pc_sel[:, 0],\n",
+    "                    pc_sel[:, 1],\n",
+    "                    pc_sel[:, 2],\n",
+    "                     c=pt_src_id_sel, cmap='gist_rainbow',\n",
+    "                     s=0.4, zorder=1)\n",
+    "\n",
+    "    ax.tick_params(labelbottom=False, labelleft=False)\n",
+    "    ax.view_init(elev=15, azim=45)\n",
+    "    # set equal axes\n",
+    "    box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n",
+    "    ax.set_box_aspect(box)\n",
+    "fig.suptitle('Fluttering leaves', fontsize=16)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/example_notebooks/16-tls_tree_dynamic.ipynb b/example_notebooks/16-tls_tree_dynamic.ipynb
deleted file mode 100644
index 10d9ccae0..000000000
--- a/example_notebooks/16-tls_tree_dynamic.ipynb
+++ /dev/null
@@ -1,1091 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Terrestrial Laser Scanning of a Small Apple Tree with Leaf Flutter\n",
-    "\n",
-    "Notebook: Hannah Weiser, 2023\n",
-    "\n",
-    "This is a demonstration of scanning a [dynamic scene](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes), consisting of a tree with moving leaves.\n",
-    "\n",
-    "We will use the command-line access of HELIOS++ to run the simulation, and use Python just for displaying the input XMLs and the resulting point clouds."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T14:57:47.799832Z",
-     "start_time": "2023-08-24T14:57:47.400770Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import sys, os\n",
-    "from pathlib import Path\n",
-    "from IPython.display import Code\n",
-    "\n",
-    "current_folder = globals()['_dh'][0]\n",
-    "helios_path = str(Path(current_folder).parent)\n",
-    "sys.path.append(helios_path)  # add helios-plusplus directory to PATH\n",
-    "import pyhelios\n",
-    "\n",
-    "from pyhelios.util.xmldisplayer import display_xml, find_playback_dir\n",
-    "\n",
-    "os.chdir(helios_path)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Scene\n",
-    "\n",
-    "The scene was generated in [Blender](https://www.blender.org/) using three add-ons:\n",
-    "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were separated \"By Loose Parts\". This way, each leaf can be moved individually.\n",
-    "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g., Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles $X$, $Y$ and $Z$ will be sampled at each time step. In this case, half of the leaves are moving with an oscillation frequency of 6 and a rotation angle normal distribution $N(0°, 16°)$ for $X$ and  $N(0°, 4°)$ for $Y$ and $Z$.\n",
-    "- [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h): This add-on allows exporting dynamic Blender scenes (i.e., scenes with rigid motions) to HELIOS++ sceneparts and scenes. It considers translations and rotations.\n",
-    "\n",
-    "This is what the Blender animation looks like:\n",
-    "![moving_tree](https://github.com/3dgeo-heidelberg/helios/blob/dev/img/example16.gif?raw=true \"moving_tree\")\n",
-    "\n",
-    "Finally, further modifications were made:\n",
-    "- A wavefront material template library (MTL) was assigned (`leafwood.mtl`), which contains `helios_spectra` and `helios_classification` for the different materials (`Leaves` and `TrunksAndBranches`) to assign realistic reflectance values and to create an automatic classification of the output point cloud.\n",
-    "\n",
-    "The exported dynamic scene is very large, but you can have a look [here](https://github.com/3dgeo-heidelberg/helios/blob/dev/data/scenes/movingtrees/tree10_a.xml). Let's have a look at how the sceneparts are configured."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Static Scene Parts\n",
-    "\n",
-    "For the static sceneparts, we simply load the 3D models from the corresponding OBJ files. For completeness, we also set the \"up axis\" to \"z\", which is also the HELIOS++ default.\n",
-    "\n",
-    "```XML\n",
-    "\n",
-    "    \n",
-    "        \n",
-    "        \n",
-    "    \n",
-    "    \n",
-    "    \n",
-    "\n",
-    "\n",
-    "    \n",
-    "        \n",
-    "        \n",
-    "    \n",
-    "    \n",
-    "\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dynamic Scene Parts\n",
-    "\n",
-    "The dynamic sceneparts are much more complex. After loading the 3D model from a file, we are applying a sequence of rigid motions.\n",
-    "\n",
-    "```XML\n",
-    "\n",
-    "    \n",
-    "        \n",
-    "        \n",
-    "    \n",
-    "    \n",
-    "    \n",
-    "      \n",
-    "      \n",
-    "    \n",
-    "    \n",
-    "    \n",
-    "      \n",
-    "      \n",
-    "    \n",
-    "\n",
-    "....\n",
-    "\n",
-    "    \n",
-    "      \n",
-    "      \n",
-    "    \n",
-    "    \n",
-    "    \n",
-    "      \n",
-    "      \n",
-    "    \n",
-    "\n",
-    "```\n",
-    "\n",
-    "Within a rigid motion (`dmotion`), different motions can be combined. HELIOS++ supports translation, rotation, reflection, glide plane, helical motion and rotational symmetry (see [Dynamic scenes](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes)). The [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h) Blender add-on support translation and rotation, which can be seen in the XML syntax above.\n",
-    "\n",
-    "Rotations are provided as `axis`-`angle` rotations, with angles in degrees. In addition a rotation center can be provided using the `center` parameter. The `autoCRS` parameter is used to automatically translate the rotation center to the internal reference system of the simulation.\n",
-    "\n",
-    "Using the parameters `id` and `next`, individual rigid motions can be chained together. The `loop` parameter determines how often each motion is executed. If no `next` ID is provided, the motion sequence is determined. In our case, we want to create a never ending loop, so we define the first motion as `next` in the last motion and set the rotation so that the leaf is back at its original orientation."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Platform and Scanner\n",
-    "\n",
-    "We are performing a terrestrial laser scanning (TLS) simulation from a static tripod with a RIEGL VZ-400. Platform and scanner are shown below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T14:57:47.840833Z",
-     "start_time": "2023-08-24T14:57:47.801834Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
<platform id="tripod" name="TLS Tripod" type="static" drag="0">\n",
-       "\t\t<scannerMount x="0" y="0" z="1.5">\n",
-       "\t\t</scannerMount>\n",
-       "\t</platform>\n",
-       "\t\n",
-       "
\n"
-      ],
-      "text/latex": [
-       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
-       "\\PY{n+nt}{\\PYZlt{}platform}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}TLS Tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{type=}\\PY{l+s}{\\PYZdq{}static\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{drag=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}scannerMount}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/scannerMount\\PYZgt{}}\n",
-       "\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/platform\\PYZgt{}}\n",
-       "\\PY{+w}{\t}\n",
-       "\\end{Verbatim}\n"
-      ],
-      "text/plain": [
-       "\n",
-       "\t\t\n",
-       "\t\t\n",
-       "\t\n",
-       "\t"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "Code(display_xml('data/platforms.xml', 'tripod'), language='XML')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T14:57:49.147915Z",
-     "start_time": "2023-08-24T14:57:49.113915Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
<scanner id="riegl_vz400" name="RIEGL VZ-400" accuracy_m="0.005" beamDivergence_rad="0.0003" headRotatePerSecMax_deg="60" optics="rotating" pulseFreqs_Hz="100000,300000" pulseLength_ns="5" rangeMin_m="1.5" scanAngleMax_deg="120" scanAngleEffectiveMax_deg="50" scanFreqMin_Hz="3" scanFreqMax_Hz="120">\n",
-       "\t\t\n",
-       "\t\t<FWFSettings beamSampleQuality="3" />\t\n",
-       "\t\t<beamOrigin x="0" y="0" z="0.2">\n",
-       "\t\t\t<rot axis="y" angle_deg="0" />\n",
-       "\t\t\t<rot axis="z" angle_deg="0" />\n",
-       "\t\t\t<rot axis="x" angle_deg="0" />\n",
-       "\t\t</beamOrigin>\n",
-       "\t\t<headRotateAxis x="0" y="0" z="1" />\n",
-       "\t\t\n",
-       "\t</scanner>\n",
-       "\t\n",
-       "
\n"
-      ],
-      "text/latex": [
-       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
-       "\\PY{n+nt}{\\PYZlt{}scanner}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}RIEGL VZ\\PYZhy{}400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{accuracy\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}0.005\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{beamDivergence\\PYZus{}rad=}\\PY{l+s}{\\PYZdq{}0.0003\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotatePerSecMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}60\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{optics=}\\PY{l+s}{\\PYZdq{}rotating\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreqs\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}100000,300000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseLength\\PYZus{}ns=}\\PY{l+s}{\\PYZdq{}5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{rangeMin\\PYZus{}m=}\\PY{l+s}{\\PYZdq{}1.5\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanAngleEffectiveMax\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}50\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMin\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanFreqMax\\PYZus{}Hz=}\\PY{l+s}{\\PYZdq{}120\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t}\n",
-       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}FWFSettings}\\PY{+w}{ }\\PY{n+na}{beamSampleQuality=}\\PY{l+s}{\\PYZdq{}3\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\\PY{+w}{\t}\n",
-       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}beamOrigin}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0.2\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}y\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}z\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t\t}\\PY{n+nt}{\\PYZlt{}rot}\\PY{+w}{ }\\PY{n+na}{axis=}\\PY{l+s}{\\PYZdq{}x\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{angle\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}/beamOrigin\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t}\\PY{n+nt}{\\PYZlt{}headRotateAxis}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}1\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{\t\t}\n",
-       "\\PY{+w}{\t}\\PY{n+nt}{\\PYZlt{}/scanner\\PYZgt{}}\n",
-       "\\PY{+w}{\t}\n",
-       "\\end{Verbatim}\n"
-      ],
-      "text/plain": [
-       "\n",
-       "\t\t\n",
-       "\t\t\t\n",
-       "\t\t\n",
-       "\t\t\t\n",
-       "\t\t\t\n",
-       "\t\t\t\n",
-       "\t\t\n",
-       "\t\t\n",
-       "\t\t\n",
-       "\t\n",
-       "\t"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "Code(display_xml('data/scanners_tls.xml', 'riegl_vz400'), language='XML')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Survey\n",
-    "\n",
-    "Six scan positions are created, regularly distributed on a circle around the tree. From each position, the scanner is pointing towards the tree and scans in a horizontal field of view of 90° and a vertical FOV of 100°. Vertical and horizontal resolution are set to 0.04 ° which corresponds to a point spacing of 7 mm at 10 m range."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T14:57:51.772948Z",
-     "start_time": "2023-08-24T14:57:51.743947Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
<document>\n",
-       "        <scannerSettings id="tls" active="true" pulseFreq_hz="600000" verticalResolution_deg="0.04" horizontalResolution_deg="0.04" />\n",
-       "        <survey name="tls_tree1_dyn" platform="data/platforms.xml#tripod" scanner="data/scanners_tls.xml#riegl_vz400" scene="data/scenes/dyn/tree1_dyn.xml#tree1">\n",
-       "            <leg>\n",
-       "            <platformSettings x="3.0000" y="0.0000" z="0" onGround="true" />\n",
-       "            <scannerSettings template="tls" headRotateStart_deg="45.0000" headRotateStop_deg="135.0000" trajectoryTimeInterval_s="0.05" />\n",
-       "        </leg>\n",
-       "        <leg>\n",
-       "            <platformSettings x="1.5000" y="2.5981" z="0" onGround="true" />\n",
-       "            <scannerSettings template="tls" headRotateStart_deg="105.0000" headRotateStop_deg="195.0000" trajectoryTimeInterval_s="0.05" />\n",
-       "        </leg>\n",
-       "        <leg>\n",
-       "            <platformSettings x="-1.5000" y="2.5981" z="0" onGround="true" />\n",
-       "            <scannerSettings template="tls" headRotateStart_deg="-195.0000" headRotateStop_deg="-105.0000" trajectoryTimeInterval_s="0.05" />\n",
-       "        </leg>\n",
-       "        <leg>\n",
-       "            <platformSettings x="-3.0000" y="0.0000" z="0" onGround="true" />\n",
-       "            <scannerSettings template="tls" headRotateStart_deg="-135.0000" headRotateStop_deg="-45.0000" trajectoryTimeInterval_s="0.05" />\n",
-       "        </leg>\n",
-       "        <leg>\n",
-       "            <platformSettings x="-1.5000" y="-2.5981" z="0" onGround="true" />\n",
-       "            <scannerSettings template="tls" headRotateStart_deg="-75.0000" headRotateStop_deg="15.0000" trajectoryTimeInterval_s="0.05" />\n",
-       "        </leg>\n",
-       "        <leg>\n",
-       "            <platformSettings x="1.5000" y="-2.5981" z="0" onGround="true" />\n",
-       "            <scannerSettings template="tls" headRotateStart_deg="-15.0000" headRotateStop_deg="75.0000" trajectoryTimeInterval_s="0.05" />\n",
-       "        </leg>\n",
-       "        \n",
-       "        </survey>\n",
-       "    </document>\n",
-       "
\n"
-      ],
-      "text/latex": [
-       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
-       "\\PY{n+nt}{\\PYZlt{}document}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{id=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{active=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{pulseFreq\\PYZus{}hz=}\\PY{l+s}{\\PYZdq{}600000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{verticalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{horizontalResolution\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}0.04\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}survey}\\PY{+w}{ }\\PY{n+na}{name=}\\PY{l+s}{\\PYZdq{}tls\\PYZus{}tree1\\PYZus{}dyn\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{platform=}\\PY{l+s}{\\PYZdq{}data/platforms.xml\\PYZsh{}tripod\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scanner=}\\PY{l+s}{\\PYZdq{}data/scanners\\PYZus{}tls.xml\\PYZsh{}riegl\\PYZus{}vz400\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{scene=}\\PY{l+s}{\\PYZdq{}data/scenes/dyn/tree1\\PYZus{}dyn.xml\\PYZsh{}tree1\\PYZdq{}}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}105.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}195.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}195.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}105.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}3.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}0.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}135.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}45.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}75.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}15.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}leg}\\PY{n+nt}{\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}platformSettings}\\PY{+w}{ }\\PY{n+na}{x=}\\PY{l+s}{\\PYZdq{}1.5000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{y=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}2.5981\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{z=}\\PY{l+s}{\\PYZdq{}0\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{onGround=}\\PY{l+s}{\\PYZdq{}true\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{            }\\PY{n+nt}{\\PYZlt{}scannerSettings}\\PY{+w}{ }\\PY{n+na}{template=}\\PY{l+s}{\\PYZdq{}tls\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStart\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}\\PYZhy{}15.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{headRotateStop\\PYZus{}deg=}\\PY{l+s}{\\PYZdq{}75.0000\\PYZdq{}}\\PY{+w}{ }\\PY{n+na}{trajectoryTimeInterval\\PYZus{}s=}\\PY{l+s}{\\PYZdq{}0.05\\PYZdq{}}\\PY{+w}{ }\\PY{n+nt}{/\\PYZgt{}}\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/leg\\PYZgt{}}\n",
-       "\\PY{+w}{        }\n",
-       "\\PY{+w}{        }\\PY{n+nt}{\\PYZlt{}/survey\\PYZgt{}}\n",
-       "\\PY{+w}{    }\\PY{n+nt}{\\PYZlt{}/document\\PYZgt{}}\n",
-       "\\end{Verbatim}\n"
-      ],
-      "text/plain": [
-       "\n",
-       "        \n",
-       "        \n",
-       "            \n",
-       "            \n",
-       "            \n",
-       "        \n",
-       "        \n",
-       "            \n",
-       "            \n",
-       "        \n",
-       "        \n",
-       "            \n",
-       "            \n",
-       "        \n",
-       "        \n",
-       "            \n",
-       "            \n",
-       "        \n",
-       "        \n",
-       "            \n",
-       "            \n",
-       "        \n",
-       "        \n",
-       "            \n",
-       "            \n",
-       "        \n",
-       "        \n",
-       "        \n",
-       "    "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "Code(display_xml('data/surveys/dyn/tls_tree1_dyn.xml'), language='XML')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Running the Simulations\n",
-    "\n",
-    "Let's run the simulation. Just for comparison, we are also running a simulation of a static version of the same scene.\n",
-    "The simulation of the dynamic scene will take considerably longer than the one with the static scene."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!\"run/helios\" data/surveys/dyn/tls_tree1_dyn.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!\"run/helios\" data/surveys/dyn/tls_tree1_static.xml \"--lasOutput\" \"--zipOutput\" \"-q\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Loading the Simulated Point Clouds\n",
-    "\n",
-    "We are loading the simulated point clouds and their attributed with [laspy](https://laspy.readthedocs.io/en/latest/) to `numpy` arrays and merge the individual scan positions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T14:57:56.500130Z",
-     "start_time": "2023-08-24T14:57:55.415394Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import laspy\n",
-    "import matplotlib.pyplot as plt\n",
-    "import matplotlib as mpl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def read_pc(path, pt_src_id):\n",
-    "    las = laspy.read(path)\n",
-    "    pc = np.array([las.x, las.y, las.z]).T\n",
-    "    object_id = las['hitObjectId']\n",
-    "    classification = las['classification']\n",
-    "    pt_src_id = np.repeat(pt_src_id, pc.shape[0])\n",
-    "\n",
-    "    return pc, object_id, classification, pt_src_id"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T15:53:36.006928Z",
-     "start_time": "2023-08-24T15:53:35.504869Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Loading points from output/tls_tree1_dyn/2023-08-24_23-38-25\n",
-      "Merging files\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Dynamic point cloud\n",
-    "output_path = find_playback_dir('data/surveys/dyn/tls_tree1_dyn.xml')\n",
-    "\n",
-    "print('Loading points from', Path(output_path).relative_to(helios_path).as_posix())\n",
-    "\n",
-    "pc_1, object_id_1, classification_1, pt_src_id_1 = read_pc(Path(output_path) / 'leg000_points.laz', 1)\n",
-    "pc_2, object_id_2, classification_2, pt_src_id_2 = read_pc(Path(output_path) / 'leg001_points.laz', 2)\n",
-    "pc_3, object_id_3, classification_3, pt_src_id_3 = read_pc(Path(output_path) / 'leg002_points.laz', 3)\n",
-    "pc_4, object_id_4, classification_4, pt_src_id_4 = read_pc(Path(output_path) / 'leg003_points.laz', 4)\n",
-    "pc_5, object_id_5, classification_5, pt_src_id_5 = read_pc(Path(output_path) / 'leg004_points.laz', 5)\n",
-    "pc_6, object_id_6, classification_6, pt_src_id_6 = read_pc(Path(output_path) / 'leg005_points.laz', 6)\n",
-    "\n",
-    "print('Merging files')\n",
-    "\n",
-    "pc = np.vstack((pc_1, pc_2, pc_3, pc_4, pc_5, pc_6))\n",
-    "object_id = np.hstack((object_id_1, object_id_2, object_id_3, object_id_4, object_id_5, object_id_6))\n",
-    "classification = np.hstack((classification_1, classification_2, classification_3, classification_4, classification_5, classification_6))\n",
-    "pt_src_id = np.hstack((pt_src_id_1, pt_src_id_2, pt_src_id_3, pt_src_id_4, pt_src_id_5, pt_src_id_6))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Loading points from output/tls_tree1_static/2023-08-25_09-38-55\n",
-      "Merging files\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Static point cloud\n",
-    "output_path_2 = find_playback_dir('data/surveys/dyn/tls_tree1_static.xml')\n",
-    "\n",
-    "print('Loading points from', Path(output_path_2).relative_to(helios_path).as_posix())\n",
-    "\n",
-    "pc_s_1, object_id_s_1, classification_s_1, pt_src_id_s_1 = read_pc(Path(output_path_2) / 'leg000_points.laz', 1)\n",
-    "pc_s_2, object_id_s_2, classification_s_2, pt_src_id_s_2 = read_pc(Path(output_path_2) / 'leg001_points.laz', 2)\n",
-    "pc_s_3, object_id_s_3, classification_s_3, pt_src_id_s_3 = read_pc(Path(output_path_2) / 'leg002_points.laz', 3)\n",
-    "pc_s_4, object_id_s_4, classification_s_4, pt_src_id_s_4 = read_pc(Path(output_path_2) / 'leg003_points.laz', 4)\n",
-    "pc_s_5, object_id_s_5, classification_s_5, pt_src_id_s_5 = read_pc(Path(output_path_2) / 'leg004_points.laz', 5)\n",
-    "pc_s_6, object_id_s_6, classification_s_6, pt_src_id_s_6 = read_pc(Path(output_path_2) / 'leg005_points.laz', 6)\n",
-    "\n",
-    "print('Merging files')\n",
-    "\n",
-    "pc_s = np.vstack((pc_s_1, pc_s_2, pc_s_3, pc_s_4, pc_s_5, pc_s_6))\n",
-    "object_id_s = np.hstack((object_id_s_1, object_id_s_2, object_id_s_3, object_id_s_4, object_id_s_5, object_id_s_6))\n",
-    "classification_s = np.hstack((classification_s_1, classification_s_2, classification_s_3, classification_s_4, classification_s_5, classification_s_6))\n",
-    "pt_src_id_s = np.hstack((pt_src_id_s_1, pt_src_id_s_2, pt_src_id_s_3, pt_src_id_s_4, pt_src_id_s_5, pt_src_id_s_6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Visualization\n",
-    "\n",
-    "First, let's plot the full point cloud, coloured by a) Object ID and b) Classification."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T15:53:48.363756Z",
-     "start_time": "2023-08-24T15:53:46.963776Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Matplotlib figure\n",
-    "fig = plt.figure(figsize=(12, 6))\n",
-    "\n",
-    "# First subplot\n",
-    "ax1 = fig.add_subplot(1,2,1, projection='3d', computed_zorder=False)\n",
-    "sc1 = ax1.scatter(pc[::10, 0],\n",
-    "                  pc[::10, 1],\n",
-    "                  pc[::10, 2],\n",
-    "                  c=object_id[::10], cmap='prism',\n",
-    "                  s=0.02, zorder=1)\n",
-    "ax1.set_title(label='a) Coloured by Object ID', fontsize=16, pad=20)\n",
-    "\n",
-    "# Second subplot\n",
-    "from matplotlib.colors import LinearSegmentedColormap\n",
-    "colours = ['#784e10', '#2f7810']\n",
-    "class_cmap = LinearSegmentedColormap.from_list('classification', colours, N=2)\n",
-    "\n",
-    "ax2 = fig.add_subplot(1,2,2, projection='3d', computed_zorder=False)\n",
-    "sc2 = ax2.scatter(pc[::10, 0],\n",
-    "                  pc[::10, 1],\n",
-    "                  pc[::10, 2],\n",
-    "                  c=classification[::10], cmap=class_cmap,\n",
-    "                  s=0.02, zorder=1)\n",
-    "ax2.set_title(label='b) Coloured by Classification', fontsize=16, pad=20)\n",
-    "\n",
-    "for ax in [ax1, ax2]:\n",
-    "    ax.set_xlabel('$X$')\n",
-    "    ax.set_ylabel('$Y$')\n",
-    "    ax.set_zlabel('$Z$', labelpad=15)\n",
-    "    ax.set_xticks([-0.4, 0, 0.4])\n",
-    "    ax.set_yticks([-0.4, 0, 0.4])\n",
-    "    # set equal axes\n",
-    "    box = (np.ptp(pc[:, 0]), np.ptp(pc[:, 1]), np.ptp(pc[:, 2]))\n",
-    "    ax.set_box_aspect(box)\n",
-    "\n",
-    "# Adjust subplots\n",
-    "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n",
-    "                    wspace=0.02, hspace=0.02)\n",
-    "# Add color bar and set ticks and tick labels\n",
-    "cb_ax = fig.add_axes([0.83, 0.25, 0.01, 0.5])\n",
-    "tick_locs = [0.25, 0.75]\n",
-    "cbar = fig.colorbar(sc2, cax=cb_ax, ticks=tick_locs)\n",
-    "cbar.ax.set_yticklabels(['wood', 'leaf'], fontsize=15)\n",
-    "\n",
-    "# Display results\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we zoom in a bit to see more detail and compare the static to the moving point cloud."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T15:53:50.486726Z",
-     "start_time": "2023-08-24T15:53:50.461725Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# Select a subset of the point cloud\n",
-    "def clip_by_bb(pts, xmin, xmax, ymin, ymax, zmin, zmax):\n",
-    "    clip_index = ((pts[:, 0] > xmin) &\n",
-    "                  (pts[:, 0] < xmax) &\n",
-    "                  (pts[:, 1] > ymin) &\n",
-    "                  (pts[:, 1] < ymax) &\n",
-    "                  (pts[:, 2] > zmin) &\n",
-    "                  (pts[:, 2] < zmax))\n",
-    "    return clip_index\n",
-    "\n",
-    "# clip static point cloud\n",
-    "clip_idx = clip_by_bb(pc_s, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n",
-    "pc_s_clipped = pc_s[clip_idx]\n",
-    "pt_src_id_s_clipped = pt_src_id_s[clip_idx]\n",
-    "object_id_s_clipped = object_id_s[clip_idx]\n",
-    "\n",
-    "# clip dynamic point cloud and additionally filter by object ids (which are in static point cloud)\n",
-    "clip_idx = clip_by_bb(pc, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n",
-    "oid_idx = np.isin(object_id, list(set(object_id_s_clipped)))\n",
-    "clip_and_oid_idx = np.logical_and(clip_idx, oid_idx)\n",
-    "pc_clipped = pc[clip_and_oid_idx]\n",
-    "pt_src_id_clipped = pt_src_id[clip_and_oid_idx]\n",
-    "object_id_clipped = object_id[clip_and_oid_idx]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T15:53:55.703656Z",
-     "start_time": "2023-08-24T15:53:54.043677Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Matplotlib figure\n",
-    "fig = plt.figure(figsize=(10, 8))\n",
-    "\n",
-    "# random color map\n",
-    "cmap = plt.cm.colors.ListedColormap(np.random.rand(256, 3))\n",
-    "\n",
-    "# First subplot\n",
-    "ax1 = fig.add_subplot(2,2,1, projection='3d', computed_zorder=False)\n",
-    "sc1 = ax1.scatter(pc_s_clipped[:, 0],\n",
-    "                  pc_s_clipped[:, 1],\n",
-    "                  pc_s_clipped[:, 2],\n",
-    "                  c=object_id_s_clipped, cmap=cmap,\n",
-    "                  s=0.05, zorder=1)\n",
-    "ax1.set_title(label='Coloured by Object ID', fontsize=14)\n",
-    "# Second subplot\n",
-    "\n",
-    "ax2 = fig.add_subplot(2,2,2, projection='3d', computed_zorder=False)\n",
-    "sc2 = ax2.scatter(pc_s_clipped[:, 0],\n",
-    "                  pc_s_clipped[:, 1],\n",
-    "                  pc_s_clipped[:, 2],\n",
-    "                  c=pt_src_id_s_clipped, cmap='gist_rainbow',\n",
-    "                  s=0.05, zorder=1)\n",
-    "ax2.set_title(label='Coloured by Scan Position', fontsize=14)\n",
-    "\n",
-    "# Third subplot\n",
-    "ax3 = fig.add_subplot(2,2,3, projection='3d', computed_zorder=False)\n",
-    "sc3 = ax3.scatter(pc_clipped[:, 0],\n",
-    "                  pc_clipped[:, 1],\n",
-    "                  pc_clipped[:, 2],\n",
-    "                  c=object_id_clipped, cmap=cmap,\n",
-    "                  s=0.05, zorder=1)\n",
-    "# ax3.set_title(label='c) Coloured by Object ID', fontsize=14)\n",
-    "\n",
-    "# Fourth subplot\n",
-    "ax4 = fig.add_subplot(2,2,4, projection='3d', computed_zorder=False)\n",
-    "sc4 = ax4.scatter(pc_clipped[:, 0],\n",
-    "                  pc_clipped[:, 1],\n",
-    "                  pc_clipped[:, 2],\n",
-    "                  c=pt_src_id_clipped, cmap='gist_rainbow',\n",
-    "                  s=0.05, zorder=1)\n",
-    "# ax4.set_title(label='d) Coloured by Scan Position', fontsize=14)\n",
-    "\n",
-    "for ax in [ax1, ax2, ax3, ax4]:\n",
-    "    ax.set_xlabel('$X$')\n",
-    "    ax.set_ylabel('$Y$')\n",
-    "    ax.set_zlabel('$Z$')\n",
-    "    box = (np.ptp(pc_clipped[:, 0]), np.ptp(pc_clipped[:, 1]), np.ptp(pc_clipped[:, 2]))\n",
-    "    ax.set_box_aspect(box)\n",
-    "    ax.view_init(elev=15, azim=170)\n",
-    "\n",
-    "fig.text(0.1, 0.7, 'Static', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n",
-    "fig.text(0.1, 0.3, 'Dynamic', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n",
-    "# Adjust subplots\n",
-    "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.9,\n",
-    "                    wspace=0.0, hspace=0.0)\n",
-    "\n",
-    "# Display results\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's have a look at a few of the leaves, some of which are static and some of which are moving."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T16:01:37.567366Z",
-     "start_time": "2023-08-24T16:01:37.544368Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "moving_leaves = [35, 57, 63, 73, 89, 124, 125, 130]\n",
-    "static_leaves = [167, 189, 195, 200, 220, 242, 251, 260]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T16:02:17.903157Z",
-     "start_time": "2023-08-24T16:02:17.005163Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(12, 6))\n",
-    "\n",
-    "for i, leaf_id in enumerate(static_leaves):\n",
-    "    sel_idx = object_id == leaf_id\n",
-    "    pc_sel = pc[sel_idx]\n",
-    "    pt_src_id_sel = pt_src_id[sel_idx]\n",
-    "\n",
-    "    ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n",
-    "    sc = ax.scatter(pc_sel[:, 0],\n",
-    "                     pc_sel[:, 1],\n",
-    "                     pc_sel[:, 2],\n",
-    "                     c=pt_src_id_sel, cmap='gist_rainbow',\n",
-    "                     s=0.4, zorder=1)\n",
-    "    ax.tick_params(labelbottom=False, labelleft=False)\n",
-    "    ax.view_init(elev=15, azim=45)\n",
-    "    # set equal axes\n",
-    "    box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n",
-    "    ax.set_box_aspect(box)\n",
-    "fig.suptitle('Static leaves', fontsize=16)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-08-24T16:02:23.703117Z",
-     "start_time": "2023-08-24T16:02:23.026120Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(12, 6))\n",
-    "\n",
-    "for i, leaf_id in enumerate(moving_leaves):\n",
-    "    sel_idx = object_id == leaf_id\n",
-    "    pc_sel = pc[sel_idx]\n",
-    "    pt_src_id_sel = pt_src_id[sel_idx]\n",
-    "\n",
-    "    ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n",
-    "    sc = ax.scatter(pc_sel[:, 0],\n",
-    "                    pc_sel[:, 1],\n",
-    "                    pc_sel[:, 2],\n",
-    "                     c=pt_src_id_sel, cmap='gist_rainbow',\n",
-    "                     s=0.4, zorder=1)\n",
-    "\n",
-    "    ax.tick_params(labelbottom=False, labelleft=False)\n",
-    "    ax.view_init(elev=15, azim=45)\n",
-    "    # set equal axes\n",
-    "    box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n",
-    "    ax.set_box_aspect(box)\n",
-    "fig.suptitle('Fluttering leaves', fontsize=16)\n",
-    "plt.show()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/img/example16.gif b/img/example15.gif
similarity index 100%
rename from img/example16.gif
rename to img/example15.gif
diff --git a/img/example15_thumbnail.png b/img/example15_thumbnail.png
new file mode 100644
index 0000000000000000000000000000000000000000..8564f9737df278dc60a7fef710c2530de64159fe
GIT binary patch
literal 50527
zcmc$_g;!Nu8!wC?AV?epL0TH5yFsM8k?v0E1`%mt)7{6?Ux
zBMc0>0rbzSLcszH@FK30sJfG~ovD+nfrAN*tE(%6g{_sNk-;|;20I6{lw&?T7?_VR
zk|IJXZmEaMu1+e`3%~!ZCiUmu{QUXf7i7Qx-mqr{tz0S51%HP>TNt-u{D>Uta92wG
zDO3Bk1?&&3yc;|ZyDajo+@Q;J_YOfZgdVKWtbnJ|xH^`H!?w|Mzf{+ed09*hAw?`v
z#euArWmE<5mt*Ts3e=(5)bEx2zJNE1B9XDczoY_GGNJE&%7qQcrVdpic~1@g6^mT-
zISc%-iUd5es3KP0m;W~(RcmN@m4JnVgNcJ<=3`@K76gHe+E_<{?+NRwka@cv#`uBL
zmSARP=0ms`EG+C?l~J!?@x@MtFC`^qz60Ky+lPmXDP?(8O>eMLS2$UbO&8Afr6$Lp
zK|wLGvBq*%OO4DA*GCWHS85fyXa!Uby|cK
zm6SyCez-Q-8A;>Z`q6GOh|R*vO53IjZm{RD&EC++@Nk}dhJf{Id)m^{Qi?+ay;gm!
zl%u`pWA
zX)=MNi~N*~p&ZYb#m~;kv9pZq8yU&Z%*<5rNa3)tUEqE%s#sjC3HcbKSK-bd2v&bD;AYp>RS85agO88$l+>7$I!=r
z>+3&iY8>;@UBRNXTiwP+*+)pFB__pHVcMGV`SL}*!-rou5T)qyBL4kVTU#6L6Cc=4_t5C*sBBWc=V|}sijH8SV79XRj|J!MXhY(9Igw{l{PYL
z8n3JAa58&d#KD!vFEO&@{N=ce$*V>Rzb}()eEj@-GiCUCK6hKPPcFWPb5%+&=DsI=
zaxyZ;8$IFBbM+R7LEp|!{_|&;KY#u>?N1?n{W_a6BLE6_H0htwm-yjdz6V;Tb38ynKS8n+hxn=w$hKU@~J2je)M~uwDp2ovAgwNI@_eQoGDFm
z^Y9p0`{Pf+!_&OvHC^%*=l6Pn{YDR`)5zXrL0EWrxTwy`%E~)JLi&!!^RTH3Jw0&F
zyH-}(r??3T2)Y&*weZ+2$))4zn#LQ-s2fuK{r$B^GcNL8E;v0}Sw<9bw{m`vk$>XK
zR!P3Q;TayJS5}*s1{M1{5&;!YMT+;th4U(6{pI=O#eAjJJr818+;@LuoMHQ2lreiywno8i{;2v9UV*6_4W0wciSnKC#xAFY0&abQu2LcZ*O0!+m>9e)1u}9
z{VKI~tIx^jHlSxH9kj$DkLavPykvdf(hkOBM5Fk(GynQ&wa}`3uxB>tHzdf>bhBV<
z+uq5EP4DeOomKDlaLTK>IxC#y{Iks%`SXiWLA@9JrZAPF&jxIGMT$9r?n1x8&A9a7
zXEhyyp4VBGppFhf(B=x;b=7~5!PT2$8SUGxDI7`L2HK6^Ug_!S!Q{)P^c>FD3~E<3
z4>Wp{IWm?Exnq%%1_T5+oNr2MG&$szYSe58?k95DXLE6L$5|#cG&C5Sm@I!=#M&}#
z{JNv4ZQyHIJu;k@*A4RJl%y?Q-+->BPEl5L)-2KUpdsy1Fa$gz@>*1Jh|f
zo><{(Bb*%q0+(?t7livajavsR{xENnc>V>Bfc=rVP!frXisDr1UCxw32p!O8`tauM
zTiUqvq@;eZU$(+wSfVuY3l4)#avq+ZpzlX8ub$g0%$;<^YP6S<)NYk|Jh@g?Rpm{T
zmX`h(#p27*G`^8=UaHklK4fGvOz}{ll3Dnrl#A@^|!~$V4<{Hpj%f}S7$di&XMwy
zko@DQlTeJM)k(G|(v-5H9hlGj+
z%O*1YX_eGe^&!{EgA+9{AOU;JsVzW4k~KtPCmc537Dzfc+r3})yhSZ7Ki%EkVZDDJm69@;V%Odeipy8nIlfLgJudD&2?@zdZ4&^5
z+1TT}A%qw3o}IEe1XpO+Q(hYshr&PlxjlY3>Ujk*k51YBdpKvkZ9hL`pQa^Ua$WVN
z)2c`Lezwt@FaYi0TNy0o4t0p%8oomy@`cMVK27?xJD!7ujh#H3(4i(CK|tfk=AUoD
zWv7_wnhznRqeG!BnXqT%@N>7ER8#fG+Q5iW3O{x=)zYhlhve^VOGQ4W*@Yf#}4#+lGEyNdn$Hii(PP6a4)A
zxZDn#f|do@)C0@;1Fw<4|N9%X@$aAFCw>~55KvEXEwAt5K#LeYsOT8!4#T0JKt+H{
z<8dZsVyc{2C;=dkvrx$|+hj0aL`*C``9VQNrK{ch!F;Zgq(rUkQw?YgX6~nd5OF!I
z)r)-4n4Aq?ZZ{w%u_^%UFBA_I7DxktWIj`hYc`rrf6)lKIRKcTlcU?&*-cDLaJiq8
zCnY82=I6)bvBT$={pb5|#L45ds~{E*AgHQV9PX7Wi=0cV
z<&iM}l8`Vd3qNL25Ac^r@q0Aq0tj8I*O49>`QM@Kx20MDqA#Q~O
z+~$^k!g2Al%Sri|^mN-OYz&M)0L^@*x!T#>Je`ymWHuWi0JwJOpdJSYCueeR?BFW+
zjjgRM-|26-RzMhT@9tCwng9|$c5xNSY>X56+0`YYq^v9{E&X?71nukBuK<+{q*ne9
z;J57jj}tj~9|sFSY0%b4-v33CWDn7-GK61lcBZ{z1qh($7p|~_!@2V`4l%KOgYEKM
zrNLk4I9djV?caWIv#Q&sd&@1HllihO%fpSu%Pp>xWm=qo66n~b3;83Qf#I^!sYauk
zgp74l2(V(M$CV`v;1u5+9shQB2mJi`S}Yt-)XnYI89waC4_KFzm0@tgDoP0XJudYp
zawVY`&}gvL3BXz9g|-4P-zjNnOP2UjIPJD?&o&w=Ri#w(XQtbG!wGrggM;6M)vo%!
zq#+WyK`R?fy+o^Gs*fLkw+$TY-sQn8I@pge@h_yEb{$VW
zpyx=+%NK}-Ve{Q>#&B_Q!9=E~kK{_m>@GGif{z;A950KAik^Yvd+`@t@Z0Vf37}nW
z`$Yvqe*a1;+5r~x=l8s3vR&fR1>Mcs+Ip_u1|KY&oP^|+pr9ZE8i9nmx_W@k$mpoq
z_2Inra`SsDD=Qx7{Vrj2{-604+k9H})&`*GgHx
zE_OyYPEJOZ<@rUweXA73mrLjC2c0b#0x57ln3=6Bn%SQ&xx1Rx8$Y-L_XU#9?+N?u
zaE=+9Ub728@FIYMtjGvpyX@J6
zt)`uHOpGXiRsjMGQ`gcO1nVP*@Lwl3Ha1E~NCboRg$4H&DHpts1jVN+BGP`hjemA}
z8X1U+F9p`R^#_p{i<6VHs-YnP+=!6iK1_K&5;Qb4r4|>PJ;3-jH#hqLrVy!^mG1C)
z+Kl_E8+Cg64S;}ZuyTi0X;agDz^21;a&l0J_|yTKCr9uXO7}XKbWDfRrfiF3r@aYL
z=>08HEs1YzYU;l}S{!yKARyQTP?4#_XDjY2-2f=dxKBo)4=IX?Y_^=VV}1riSyaUM
z_xD#5r5dbNH8q$3{#Z;G#{~z20mcZHo(GWCdFNY3i5N=Ru8|SBct$Xw
z#;mNYbI>EC!5w&wfPnlFkbK%3*0YO?7%&Ax!otE(a9Ko}T~8Rkx4t|-kdj8n#*zaW
z;rw3^v1Y7RrM{neGUfRA_|{C>lBY^$qqq(-mep)|Tx~5IXcW*b9t3DU50GN8KG5cL
zMMT6PMD)q|{QxZvZ^@@}kpMai#q}68yb3Vq`z000gQKR>^7AYLTv
zHP|ewfx~LK)>Db=b
z+uM7GjZF!tppv#W9cjFu;e53TY+s}O#wR+*GC$ZzaC1U}C2VcW$;rus)6&vV2zgX~
ziRAr8Zt8S04kO^gs6^M8PFE@y}X2>iWeek=spk;5wTcIkY6khOoNFe
z4=!RBrKX_p5sc30m>9BAzKdUAU`ZPoWQnGOvg=+i-yisVcH;ZeGQ=`jAm2a@R^16s
zfs~ZgkUOPpGWmA`L7%1U!=7+__(;_fwf^xOarj8+CrL+t;j)&~C}`t;6BPkt?{y?-
zV4z0UyTjlk%d{FogC(S-LZPJu5qws+ZF7w=`?V^ex6$jMSe^ShH21cPO6lFp1JId%
zkq>P2FdByu6y>U|5Ka{qcrF1}oy6;b`D$qAUGX@ecTAs~QwOqyR2(WQ
zDutk6Ms9Ad!@;h_vzX472<&_}$yz1;x@I=#Be17yeR`EJM9%q&5Rl7k~2
z94)O}4K1z7Y|*zsMhOWIr=X^OF_Ck|TjXlh_uJS#@1wFC&Inq?uElRQ}TW5c4d;aucs55V}EU
zb~8Ql1&QL#%?#Q^G3x`-Y@OAtQcn7_T*YimMuy%eeojst7(_%w+xF(~v
zb|1K>v$nC3uG1)(tg@J-1pQxXt3tH|8=TtL)YE7=4C5TAaz_?HO30KNwvwW@bB9#V>M3e1a*_iNux1ZXcXxey#^`mK&RMPZeMX)~C?Y
z34Z0Uk5u=t{I|7@^gAVKL2HYsqIilhz(Li(zyJ)XxaQ9`i}k3)#KhV$tURY8|*SfHO0gbbai!yl30T(E196e
zqor;iXp!S=!(IueH#gd9N#NIO#DWG*#mYKKI$Af>Z9bOyN-QU;v-3;m-@n6x2>yPn
zJ`dqbOWK{CodECv`RH%<;Y!<HWb#mCM`Z4N;mO;
z!n?Y31uPrmv%u{d+=b&cR3efqV1*>pR6t0nsCu)@!BHKo85OYdSq7bDZ>lIJmDd$o
znz>-&PgEKROG-%mhoQV<1IB#!>T1W*wT{P%@7}zJqGA*jq^+;5eFXg7;c{0I(7Y(H
zQ=hA=t3^bNK^tHH_m2cLL$+B*6XNbTlj@opFeZQ$2YnqJUzP-m+48j4uV4281p~YT
zINbW-p>{DO8_ZE`n~{+bY_L-nW0`(H6#?P`XfDt}vVL?#-_+E!T@CtBwdaj31~V#Y
zp=!wt`<3GEl}8f0ReW&bJr!6M6`)|-qiX}ca9~)0c~Y}0-jw2Pol1|<^R+wCS^In@
zppO^lzMrvLO$^s8UduF^E+)U{E4lc&oq_ZT8njK8Qz--odtHu;gVx$LKd%AAKhc88
zejqB?9Ur!he`W^F-;wG*icEYH-~pu)HTtUh`uN|!KLb4i3tV-+(cY-Zh7~UyI#xpE
z3NV4RYVYWX3F=q_OfK%x$GeN};bB=&6PpBdD3UH7z1^%eOq!h!OckL@
zj*ra{w+a3#)tyPR8n6*bJvOI?B)gsA0Hn&x4}72x&X{T3Y4qp
zB-`25)q7f6TKDsQstOtffMVnU)a)7^l?T_%1wa$qS&zkjUF4NFpzojMTZgU|>`K??*6kB*K8k{BImnRUBe{7$?7
z$;rt9@gFXKXS>Dah?J2L0+bW5U=aYUK(9>|^d&+^M+YzxAd42u2f!HSnjERXhic8o
zVS!;2wxOY+VZBfra(HOHKU<+^`EC`6T4&eS`CxUk+6W)%>BCX+IWi~rb^%l6NsGXw
zk{ipF!~_aZfqVv3bRQDe2F%@hu|6CKYCyOX0u-&XzMdhD@zbZ!#KaFkFBJh|E})@V
zK2P^sJ`A9D0R>^EOe-iYjSw)uPZz5m)5WTnhx0KTy^w_DLszPpL!(%854NC%
z-3qtRXY26~)>Z%Th3~wP>%key8$Pp{?DlH#Zn
zntg0mBKzrj`nVwJb#}$w2bk4*qQ~?eIkaE`mc5f~d>I{x@V_5&eACX9uCwa}B%Y>U|B`r1L6*f|a
zn(PgjP+DX=oaAbN_Xv{aEH0`nV)gg3sr4}%PjuC^<{X7%cd$9;$$>dJMoGPIk&*j`
zhr6ezrwyZo@*Hv_C8^vYoVAEUkRPFt_8?|=_{BweGo>@T$FDbZK0L%ya=%D#IthrZ
zR^nH;WZ8Nro&=<}lrN}bJ#~RN=YCk#J5&L{Y!VRA?ykB*FzsDk3o}v*DtmrmbMenkAD|R6JonEIf)dde3UTBM&`)OT$3tOX24k
z;4@XIm}BcohPCA)B`Zt8#uf|s4_y9lAZ2y~D29?~nz^{Ja9-j2bkJ;;OuNNOS&>b?
z&3h?H>$W`FCzl;E_QSpxX?QKrR140xmFqJ~M^yk~?M!A(kDgu_n&w|A3t=Hk0gVEd
zO8Xko$%J;TN9Qj2R9*t%We!vri3rKHr7Tvrdw0M5sPss&!}b`iua2U2h0XHk(_o5?
zdOjRAxSw_73|G87v(*FSB9qKkG}SCW5FWGiK`L8NXmXy3v=yiR16M!1p=7qXC;BfaOAlW&gu5@bOYW)0UaEWqp=oOJK&PhpQmv<2KvDvD%F_E0_+OP
z*{I071&2{rW-y-K{@b@qP?JDeUNuY#2dc+;5565tzIP3Th<{)pjuznMHPCIL(-caH
z*;7HGi5VM{GcYi?d3v%M_x-oNu`%3hHj*lNveKr};zEysfdO41AXhyQVqf|fKGgvt
zxw8lviu4Yb&#{J~F6f_Y&_#%O;?1=Py=&tSXDP>$D9x{h$a}V#AKHjR1bre%oVNJO
zUYs);8Z(1q=R}Yl27QfpC$kXBsGNTH{H-6_FwjX+EKv2nIOyR|VO@(U7=KR2S7{OD
zNANmllS^lqU2bm~I7-|qSn?SacqpAJR+R>lIT=2ObtDFv*qe_rRPxvulPn*=S6$!R
zqXC^Q7C1tK-(SIX=`$sA9=mTwiFZv;t5V9R(?LlQjdH#OFysKy=xW940%M;R4AFO3
zSme-8f~hMhBJxvRL!-aRac96r4@iC8!qL$O4_$xI6ScDXGKS?^l3(Lbst0Fj!+?7D0(>kzPl;J8>X~
z&4L8@{h}h90P95p9~WFbd?=0gD?kZbKvcv2-AdI3Y!dSCz?zhJzTH4iVlfH5y}y@I
zP>5`@(epYB09r(FMMZ_z^}HF2)ePO)lSMY?jQ%YoBtCRmwF%?p=A_@>ClIZY8*fu
zaejOKdCv?F0TZ~ND&w%GJ>&mm0lY|o{yI@*Bo6I8qJ*H~<9r72M6?Tw`gYL))ARZe
z<1?6IYPJve*GE=W{Sm=^NvvjIPx`=_1yE;qENgvtmpUXQWSbA5WTg%tZ;Odsa71Mi
znS`8p((YgxNUH%_#ue~tbVn_qg$oFlaC2+qyWh>(p8bjt3g*PwS0@o-%eH8*;6kT
zxz2Vu8Hf~M%74xf@ZJSV7n#^ECgRmf12{00olaJkQ%wOGIbKefJFLI(zRXQq%p-2`B?
zBH$W8CnF>ik6)GkW7rQ(J#_#(%jb=}$f6<|8MXG>zGKe@30i6o~7@+y0!vI7N`psAMUVu=M
z(9wH=;s=-nGdRE(N}CR%dO_en(I#mtTpb&|0NPpY=B~lPuv)fBQ7U%!_r$~*O70AK
zc?AWSKura=QwZE9;HTM{&z2Jc&ru(+r97Upitaqe1lN_zOQ*2f>XnD^)Ek#jijbE+
z<7=hs^SzMVnvzWzIwLq$(iZxJ<=_`N@Y9c(b-oaA!l@(^;K>d-61s
zQ|ngPcISL~oip@uYUVJ>$Y|y3F>4<^(v_h4n4Sr$ZQ#!zKZwA6aE>?xN*#bAGYqKx
za7zj|FK@y^*ejW^VM1P)U#w;$(B=;i>s+k`CQwqWS6Y*vpJdY_C@9`nJo(ZCm0T(h
z__E0-9|5J4l#!u}qXN2OqgT}Ncn%^kxk0#dKHXOfBiNfZ`P#Ujz8^w
zW1u?+$M?GcOW`{ID~!dC@~!i&d>0`X{AVFKfmK1~_~oz$*hoj_u=x`?(_XujArraL
zknOoCVPkTguAbq**GB~9!rIJSdhHwBzU1*;F*}2NW@TbRjkBda+qfme7FLvuTYdN5
zCfgl2g`e%w2L=ao6m!HtXL!YAgLMD=aKZ|N{`K{BCcN-ki^;%Wzfb_~Gh{Gh!^34W
z{||U5qyV-85(%Yz3-vZuD}RnAf^$M$Qd`t`T@EYfOs}SjltDrygF&YmW~^L?7Z}<$
z&+)!R;Xq`BUW$vCmlephfUq*-g>&)nocEDI5*wadYo~WtfvAztqGP45{sBz$p%l(h
z(kCD}6L5W73naE!?*DSSC2zxa#57FND8bQhtiCDfa{75^9-eoWqwCOBzc=c6cS$xQ
zVCE13Sv~KPeIbA8`PFUcHa?5d4Q_Mwl@uXvXI{*>tDw1GJ=-d
zMWGaFbT2q-Y3XTLoc7TaV)0WOV(=8~RhlB&hF?%&ypv5I+g;bp`y6hyvF75Q@6++m
zAL(Q{e;vITS=k%w<|8jJFHm)E*Zk4H0jvPhH>q6qKfu@-Z?MyI;vsx`xG`I5v`xWZY1Y1JY?a*?jEad72CeWG
z_|1KzqdP#~?-?D1n5DZTKy9O%Z~wk{Tp#uWLkkE4JBxN5TYxLlX*d4IRA$Cz*!2dg
z!0NjFgBST}*M5hfrKRO@_31&Q5duNiYOsaQ!urH2)clW7!4pa&p=uNRI;J{WPYY0`@CBOd^w(Gfspfpvgmb5TS<^nmb@U;`gEJS$9CkQ4
zQFwgQ4e4x!MW&&gW(cCGjuxPxFHAY{uS-K^m|ork^?RsU8&F##$#zI2l;Wo&!Q<^$
zdqLCq;9*EdL&8nz7e1*rcGTT&TwwM?uF;L;J@$vEb9(mnw}E;_^4eWwNrrGR7&
z1D)fblNEM#cWV%!BO^y=lMc#$1KpmUL%f;ny)Kqfk5AOPcGzZ8weEA;MLr$x)z6{m
zD+ieosl+o;4f4f`5|5m5YEk$A!$+$(SC5K~9F}j?d(`PMh1d
zSy)$Yg|Hzh^rWOA1tWtmy7!vTkCy4d!35fETG#Yp(TUzv08c%Rt3y9xGFUpjef|(H
z+W$wjWx!5ZGQ{iVwxHU1WZ}Sr@dmk$I`fO9WWQ=cej)W}U2KOgxKU)FSAtaA$9#h&
zZ2XVQ61)t~>3U`92llKh4@c1=JV~4HVjF|j|5jvGToCm*vX0H-hK$r;+6`dMRAz+l
ze6c_G^i!!;?^7eFB2%1j7d!Cd=YY}X@`-PRD?mD##Pbi|GB5nO>qvKdi-UJ#F1Pqc
zhr537V=@9sRK5u}%R9#E^M}=bnby8ZOg+T42dW+=fP_6zJinLK%vRdXqY)8Zk?RWO
zA@XhRY*ty^fBLe(mZ`R}05e2<#fpG$b>HslUc1o!mL|80@*Nh&j}fWSmAu7MwCirp
zsh51Oc30ME@ht7hfbwiU&WA5W77Oe;OBFL{X>wnSgw{1j+&Poz263q~vYLJ>f4Iig
zIy~pfm*1iPdjiv%`xJJzP^13vgb#zBddtb*mlK(xF0}GKZ6btfwC40s^O>qdDy?^X
z8MgtCNc)$34pYT{;;vLPGP+VruOHbw+!EIr12wM0v&yBISm}YjjPl2^I5-;QO1{>e5Y+O#9fpzGb8-hs{kEfBV
zlD?6;gLD_opUP4o8>4E?ums!V#Wy;ne-3XaP~#I*v8BO45SAlWjY(GLcWW@uT`C^L
zu9n+Fk+g$n&O>;zM`TdPf$+U`NV|SSL;6dtg+y^o5G!HeWmii*I>XAbF?sI4-Q%BO
z4frrLRr&vV)1UL3_{J9@m6sQKG()Uqiz=~t5<~4V#s#|Rf>D?Wq7(J6yWDK#Cy#Up
z3bEA*({yzZD#X0M3=kFp1>HohQTaIuGj#_gWHU0zW&zFe*c-o}v#k8y*xr%SI$ch3
zNu~DI`6q?$Z%i|((6GCw$s}W&=HFx@>mjTm1&pT`gR7N}|F-VlYMGT8JjDtQSCk<;
z&tWGA)-|iR3Qt;Sx9TV3D{HI&D(K(@-yY^oJ~xK=%u!BbM*mcY7
znKqx7-O30lFk9vwMF4o6%$xdt!7kg;sy~~eO{2D)zLz^l-D2s+!*{>lR==FeV-drF
z)ggGrrzn}JBjWd8FDwci7Xvt>PelW3lXhj{u
zeV%0B>G)dYjuol|UuMXNX@aX$+p}At?!QMz{wxiTXMA6=or2Cmc^HFd@N$M4f-AdZsWiz<~U+NAPnS60_I?@uiA>-zj&
zuXD7)Nwv~jby$@n8gZLBZ}#Z%Oa+ov>?d=WqojhiAolna`nr6g;Ua&kk=IIup4R3#
zEpdfcC53v2rXxEz*b?eKvduCMy_7fSCZvMAki%L!OLpY!JGdw=&m>r3Qzae>(e7J4
z<_T&}RzzMi#EXN%JN!8TSAKEM!`{E6Z<+jS%)qb!
z+z=mN^TieAW!(aDO0KKy?$MB02lWUPn%XV_%EfbT!Ox<;DekAE3PIUdID5kg=Rq{4
zi77;AUFddV%g?hAduyl~E7~qjyRAw18=v!wd}9>H(T6jkyVet?u=oJyZ_+hcriFqL
z$0NCE(xzKCVRKFTm^h;am4=;P2%I7g6I+nl+R`(F|C4)MRXjI3FT8N`c9^W8q4|{c
zmv`CX)Cn^bIW+O=n*6^)qQkI1J)hl9I8`op
zzpru;31#AEusoC1nt8rNoYYJEoThdavf}eoGyKOXAghxWZt!=BUv-8@M~wdT
zc8ukIeY@{!4g1+Vs3+3``{;xto3VfS-8Uj!09L8wU0u`k5sIQLD*gxrX@=aTx8
zJp-nV(8Bn_|54I;c$k2ifm;}MbS#Ey@5hXKjrz>`Nh_>3biO5lTV!~XmOVMy#>HfV
z9n2myN+$
zS4&>&@%U|H`RM1Sx~c5%p$_=;28i9Ur!ZwSxxxIYq%d~H8)~M{C=MaO^~h0v%l#iW
zCa0AkY>}KmfVxq@`}Y<6?_Jlh_Rf5dCUDlxbOm??dC}Q!ZKl|qJP2ivtt89D>XJCm
zeK$?E-Yr!NEbH$22S>)l2aHHT+QLkBTorvt1O*=8vxf07XE;(Vhuiw4`zTm>2qAA6
zOAn`RCR*b5hty&hccnEXVhIpGhFhmc*=hWJcDN{r>c3!T)fl&ht-#;D5Yz~WcmB|l
zTJsh49ZWALvEjwgv~_w@@`X5K#eD5$jh=>p&nv&-{dZ%vXdGxRU56q0ijeKbdpCuO
zGz*j2$riav^Fz9LZ~hLIWdL~seQrM83(r^+*JFHtYc*PByM}zuu&F(}<3M(Pe$M56
z@052K;7|rK?28R{X26~R=H799+Kr}8DW6!DSH05K$2`A5_avrYA;IJ@b-IE#Ekl8~l2&t&5IU*WMsxGGDw
z`E@UiP5TI}$1@hjm$anR2-hP#^7Q8KDG-wkC^4q0CnDwCI2T=>T*b%t)OzfMeKl8O
zOsi3qq*4KFa_fKHu<Pz=C_v0q0e}KHYdju&?Z|9c8uI_>{$W+jso$UYV&bY
z5ZSzQBop}wLXR2XnFY90;6q;km2v6vLKgxk1n`c!Ci0|T6!`%t8KAFDiShc#TIk1n
zVvatU)Kj~8o(hYP@>(%1pgKHVlZ(ulM_+T~!F?Eux^!$Kn7*Sr>SkA7$BTL9=|5S$
z`!B62F|Bl%NyTkquk(|pllu2IO}5|7l`=#e$CLd6XJ^KR1E}L;cS#RLMB0Tg0gtZ0-fnp)oLdG;T{KgJ9{p5GMwPs>ivC{V##4lnYWS2oiuA%j0|LFjdm|?
zAfl}ebFOyvib^hL|wytt|csXLX`*m*(bK
zxBt_^Yc?62Q)y4-9kZP(a5j=JErleEg}j+|05Y-QgTvxE_W^imQ1aGZY+ngq7}pLCC@P0S-CO@)Rb
zK8)8j$`7Fu`^q?af#%C@TAqz60%_bb+W8iE*9>Ut8u-BwfgpkU?+?M1b5xznvoSnn
z_>~s-QuU*Y-)kE1!2~7GkX)M@G2&|ES^u{qI`kNms^!A{nJ~rejkqsWr>@l(53f%g
z5wq<<{y9OcY0uuoD}P*jEPp3l>s2V`ASCBw5D*LjiK59tTORn3KqI8$;`-303ju}%
z$i@Ic3HN)3&wa=re?&MYkPZXc3%%_o4!ac@5N8MeW3BBnp8ucE!2bh2Itj>jfKv#F
zrGG^QBS_V?iOz$t$oRP5DRNHrE-$xG
z9j$zYep2s2&ga3r8EXqCG`KG#4X4iz)pX#D7+u=lr;6_2zJ=gruQE6|b-`Um?wHHv
zh`5Ws+Uw5YmGOAC==<%1<(39u!Spq(`q1KY+Qx!xPS_v)NZ@!UUqFLOV0FgloBh?!
z2WmZ=G@G4@VAc-~XfwR8ljt<6MSwg-
z3myqj0v-@hcXNR#qTq44OTv>Thepid-2m2;_-F~r~0}#4g7#0zNQPLkz#h!|4S7)=
z5%%HrhIa3JUMf%0d$DBkFY_J?6IVA6!zL{+<1Oz5q89Cr7CP!phesLf{0)741VANT
z?oWqNNXNrOMn(MrZGNuBl@X{oaE)328bBd$uX=lV!I*;?S5!MRBm)BsNa(X?bM4-|
zV9A_27uVO@AiM+&;_skH4VXSa)722Z^EXfj0c50Wt>-7!mw=VfJ%4w;=D$!U8^bU;
zIa$&4^uH;x=FdAifeAAnJw~wq|989XZ%m$tiEyaf`hJ#P*Ss4qi;=x^%{)`G
z0z2-h{)7uiiy*`T^2N&g>Iw?~!Ncc=M{?LM^?@{N4`@7=>~7hRXqR$ru~c3glgBRxrj!WkaC^!y8Sxd{xfQ^O*0_J(Sxtq@KdRPSg4R0?CnxZ}dYw&P;;Ff)
znKw`15RGo@y1AAKDILOFTiX%s?K!J!X#HDk!`8uG3i9v3
z1Rr~iTIeq=F)tmY^8RR{E+;qlCoo$zb6aEYyBm
z2T359NwVUUGVpj8$c*^|<5x2m{R7i?@DvppDbxb}85juirN6*bgFeLyR8ttx0^(GU
zP?cS=K+r#UUCC2QPe82`_Z_{OHR|jSn%ud^d#0+!e-fyCbOUG;Jkj`b{|T2_eqa<6
zGC<}zd2knM$slp+PP~3gQP692w2bJKA2xRXLQlrc5%ruClz1@z(CgyDu++sGv-(@#
zYG7x&nI~;0g>p3xD+yL|$!{_@O+IUyjF85jnzBX%kAcJXgY+-*ye^|!hO9N2SN$Ak
zuLEbhyBD!gtV`w%w2mqa%3c0@mOSvi_FExoe|h!U54FQsG0X;FGZJvU>FAG2bzzYCRiV%X1e0i+XnOq(168#pnXN)=C@9?9tbeWta7-%?Q^cwb*N4Yq{TAxC^Y
z(f)PX%@dbl7+HO;#f|-XDlI#tU`=Nc0eBk6>?K*8iO&SehL{@9!?63c#quT3gku^>
zGv5}j9!#s1SS;o{_;FkdsvM5LoImfYPqT$%qu2G)R`Ni+&tR`d(7KKVyGH_2m}VG-
zi0wq%Tu?Q5-D&2Fl0+_TJXr-M76<0%lR(h`i%ddNlE#@2b$Mq&Eb5x;iiW@Q&D!f7caj&lK>UY^?&tFb
z;R07evpdeWFuNBcpDj7wR8l7pW%NwA0tlbUfSPXo1Bi$_kgjTviFbfPS2@@IrCg3c
zp`H9xDeF;}tNS2Unphe6o$}9=C6=%YWD@eJ4MTW%PQ
z?36W)>%PrlXy>EM$eDH8Zu{tC2(LGA;xvZ$PXE0KnJ}hyn&pA9`27hEx62{S1E=_Sr50D!gPeou4N~h5uhX}0MF@TwQx+H*
z*-1}6X#HE?8USuU2=BMhjTCf;>op7Ql9r1#MEOeFex+KEFPlcoZ!GY|$^wNBwQF(H
zg4yQ3Qa^5UIw
zcDU0o$C}J$Gr_SeyO-PYnWiuOQ*dx*_M2ch`%`#Dp;zy*E~!X=e7F8tZQS5=(iUAW
z$y4o`&bRUF;igwIgN>XJ<&~sB1;_?)Z?so9j!Zr@S6nr@D09^$UOv7mZ8xI%gh$rS
zjIc5O!QBW!xuGHXy?oo?_f7)J48gG0asQCoK=<8b&!lfNY!er(8dr~=G6KHX(nOyA
zQ>jjxmMspO@{bdIKlUP03|{Jyb)WvS$~5V7&}L|KWuA$mq%&Q1+(|v0aewYOC?fVo
zFi|1-?#04X`EF`4XaffIFegIghjrGEyI6v#-zVyhW%`I_Ox!|b?RJB@mM+A`(=~Df
zIma`Kylm@IC|X=X&R5%O>cCgYuDH(0^W!H~f)V
z`1Ey~wTCymG?8~qnD5mUQ7CC_($JhT<%H65aCY&NR5o#MfRE@nM8MxF08^p9(mrQW
zF1FV_0ryw#dX#GIblqtlZ@D28TpvYvb>8A!hY$UEvc?+{w_wf>T`=3s9L)I`tZol}
z2_JZz$%QF-k|BNSLMo$Ah7^xi}_){OtUVMx)+9MJPjr4j2Se9_D?Uv;NdHw0j
zw1U+!c!tn^{)cso`~jOlteo>^68olb_bb-Z?NaCO^^8_oBw^~TO8mMTwovZRa5sYq
zlJ5je(>an{4e_Z90Km6qz&!f(@QEn*+ebO3qe`@!I
zi;Pd`uiVR-Z?>hk;LMBWpz9Ec^luwq3b9Q@okW*;PFt@b3P}UP=
z;#PMo?RgUH-yu-aynZ)Z&ry3iCVRvD5O#sfUhxy@T(f*rrCj&XF}Ad3Jn$uZagMM{
zLGfD-oI<@J{ufp1R27--Ko+&-nx7Inh?92dy_shLk5^I!#f$it%p0l760)P8FDzO;
zCOVMN?Iv_)cEeZqo6cKomS2i2O%)KYYgK#k43dSJ-*
zglE~@u{aKSbhA345PjeA_44al7}PTa6bpUn6!4m)$2;Cdm*}JZ{Mxoya(*Ofo^nCe
z!mh&)N>boQB;RT+e5m&$LG>zz(8*)NEx}3H=P7)kCLfM-K`9b=*lnP`KWplI*A)KX
zo>bGV^4O?B=i`rv)6nl*6>HP_(RN#QhBev?q0v89?nvJ&J|wWyf1SrcLX`HN`8Jhk
zyxyb+)UUOh2}P1{b&~Hex61L7tfw%(6%GSgBzE>UC1(E~9K|#x*}v(UEXdV`6{RNE
zTW{4bA+!G#ck;@&4)rxrkOwG5igLhFnkqM$an_r}M5py^UZ7ifk-dIsQ2o}aK}G4I
zdJ{N%>>fV^T5T#bs_2m?O*u1fAO-!pOX?Hh17`XEN7FR`b^1o@Y+Jvqtz|4S;qL_0Bd(VR7wT19a#z-%hioRy_Tl%NF;iHt$KoIVA~4F+(HpIvQ~
z$0G)V4?V%YQH3OV^o{5RIdEFV&Zpol;SBr?X|>@K#TrMttv`_t^E`2wXzUH?2JmHk
z{wZnbBl{ox%eV@$s`Q*3(EbiHBD
z*m?i+4_7j}H1f^Cr%reyRlq!H=C{K@9VQx_SPW_8`ybG6x1q0Nc-cdHx8_O)`f}TQ
zJL3BfWStHpyQZk1CB3n?xc*vX)dJ-e{YZmbz}G45MiQid6mn3WjwLszCGL+I1Gu0Y
z8I=yAFdw=4O~OdZl+cK88`0w;F_KK(+^7^Rs)&fuvfD^dRopQr^Djxptu*O;%pABT
zj3t+}hyQm3P}dk|R5>o3MIK>tVA;<3c>2{6In-_B&&kA#>WY8mQSvWqN*r|rJgCGh
z^_PM(i|S9>hM;CeQILmu=IR)-{>XKB+@nsh9_(RS+W#2HBNBG9vN7n4!0cg1^?!2=
zu`y_jF#Gh3(lQXhPFsxmyUHf;h&K6godz75-rwfhw=uU-LO!U=SFE9Bp^qCW54Akn
z6O(%Y1T3SuW{n%s>d2)jVJTpNe_rLEzGNsLq*__mh5^VW`95G29IL=k7E`TkL=^*_
zKCu=CMGJ~}At*3V9AmZv0hF~nff7(iALFdS`@358XD1KR1IcpvDgA#}V#eZ%ny~eo
z;0RM|u*^@|!lbkw=V#8ZbH(nzFpGVY-JW8+Lk$Gn>CWBeSzkY%Z907zv~GV|5-5&L
zQe|bhKR8q8aAA@`0Z}MOuBJw2JV_~D;-uGkO%QeF0nW-JgZ-?6Dmh_%vP6gbJrq&q
zv>3)u2*svmZ)o!^YOco(JZKmj!|I%LZB729_l{TqQPA2loNF4(zK~@@+O{(Fmpdka
z0NOF?5ZeCv#AhXQk5W=$`&W7(?Kk9AFruiwnrEeu6_brncSyS-xpw*-_Ld^NNC*ka
zj>J!T){mN^&BCLR&#%6epYpsiZ_?R*x{G<^?#4Zqb2Ysw%Y9oyhw)yrf;Bx?{Cy(6ri05G9A_00a3Vv)>%pulPbUJ4
zSN{wQc6uKW##{SjHo2321>JW#yzZW9H)BtfI1QsR^8U)AjVCZ2|3ZUyQd#^E>g_I;
z7o!cUk_mVyQ8-clf=vm}#`h(JIlyE={kU(A1^HWZ-j@AZ+JMFWINZadBa-uxvqmoY
za8yPv(qC9gWTa844j`|}^>9jz2piKG+|`(ltDTi~zZ7@OenG+ZvrJPn5bpuZwjf{u
z0Kcm}Ni|u#Z|$1gZI9F##DZd1L;8h2MUy)cp9{}*hZf>D8Sp&v9j&P9Y~>pNaop~2
z`eOPQ%tX0M3`dc-NYoJEuEJqw3c1*N;tV|>K`Ue?1U5Z
zBPUj@nMcfgwIwm%T*%N`vC@i&f<=FI&`gZM27HnGzB(8W6Kb0ekE~V(Uy=_OqN;JC
zG!m|@)UTe7B@p85#tRtEDv+`Fdh?pnFD3pTo6NIX`;xbhzF`hFw#L*Qv(eUqKkknz
zU_Ox;)cKKvi|=+TKAbC5H}cHE^wn(hKp@-UpYzYq!-BRPXU*06<({T&fFLHas+4`<
z>)r9|mM7&92j~j?WU+v?YrWm}PjXw3d!Rmb4qpS|x6{Z{+-+n}{FbdbD}f(NFbj1*
z`pwfhi(+t!LQXU}IA#d23Md2Hwu*yJM5Q$D;`nPAY2z8(
zc9wW{ej-1ZNc=i!1rp)Dr-I}fCX?5lnDMS1c772OST|MUEF3mQfe^sZp>rp;{L$Z;
zYN{b`bz&I1NVI?U`*nJT`}y(=_t~N_B8@-){XC)jf!AZmI@itJGV-Rv^k$e$N`lj|
z>W0~}8(hU~#P+>nSyrwwbVZYacqpk=9xfnIR2tRi>&Nr3I|W3*FYdol!iL`n)yme_
z6p0s{ipe~qOX+#>FOZb)RcF_afoC*!W9nn7_3G$-G#6Re-JJ^zj2D#W98?vOmJHT^
z1%|5!fl=C67Ez&()pSV~xx$>qeO|C?oKgxtub^r}*u}rFc(N$4R;D4XudTytDovot
zMmTJ0M+Zk}WZL<$m4oum9VQ5^2JeBxweU@$*2Q3hykUi!?9FP%m0|p0X)n
zRF@i$oUv;%kwN@I<;W-Bnf9?7#_B7G)UHOdisNeWS5t2Wvo2yFXc&w*c1jdXYD}Vv
zRzyHLGFKE}-Zu7}LEb^0(W`L^BtD#yGfPXOkf{8^dU_zBBu5G~T}vogT3HzZ^N-?1
zO1`&Qo8BwN5Ac=7xUiO6y0JYLx4-!QVF;p`@41aAKU}$n>a!#&ZeO4Cme}47Dtt)J
z^}&S7gJgh&NB80N5=|Ph4j^8Y9!6gzR3vNf&+or;n-JLbgxw&UMe8tUkkL4|u%4=`
z&uOoSZkG%QO|yNQ>%Ryucv^Et`_ImfW%;lL5x{rViX(A~hTu==CXMY^sFnCuOfYwq
z1W3xC=*>sqvbM$ZAFs3_Yfj#myx-C3Mdu?E59Gf=WugvYz9`SEe6qe&O4L0xEtb{P
z&~!Co31IYP@;$QUm40}LAwgmT8;YndYcrgNuIUlz?Tm)LldBoIep=%e7>&8JbsiO%
zF!75jwO-+Bpdm^z@5;Xq7GTXgB2udWxenr`cVdFmFq>T;Wha>sl|lN-sV2Tk{b>5^
zx&|Y1(!(Ox7IAJ=1udb@%HTQoEBUKsB-f02GkP64z-NL9`+;xT4SnfOa&AFGvhqKF
zdgdqqrFibV$4eI{H)fsdO>G>bG!%z0-kF$V_@FJ#{+e*6%bC+Vjv#fa=1Su?xI8z0
zz3vGRte`!y{^1VDOBu5>eQmh9S5{GThiC(ag`K(fwf>h8PER=UX9dx8%J7N9Gq{6^
zSskpQ2mHKwEli%ses=!ZNpbcfv$_PCe={hogwsw(!ts-<*5q63Qf6r6NQonE*O)%W
z=A#Z2x!azk2f!)U#A5E%p8W3FVY`$6el)O!FS8V?H;$kP*o0y-=7>cCU85RzsKsdH
z>Xae^Ml$pX0?wo0uI~5OBN3UF$YcWI<%!?hxq`l5g2BAPCRNgWY8;%7l!gIjyj&lP
zN^EC+H7vxF{ZXnMZsd^rhP`PDz8KEdp=a=LByU^?*L^Lhe9J2R=S+J|Y(Sa&`h%x9
zT83h6ZE|*G!}KcH2#I!_EIA{aoAaj~JfsxLiCXTyLg&DXhPuO;-lp-4kiJRdytIc8
z#Yve+@qyXagWF>d2^}jR8jmo5kgg3NG2Z9Tewa;rgm9YQchfZMqy#>7}fgjF!R2Pq;BIg^S)KLLT|Uzezm_+v
z5KjLr8y|2ePm25JwH2Re$+a4>>Zn>kT`i>QlU+&UMzT9FR0cjGfz?z5owg+~3H67iMT1XoWxRE)*^R5#VuF!6+k-sqeVai2
z(+fU@&<%16#ho^jKM>%-znZ!;#`~6!>~PC}?c}jw1PiY>qf#C1&&O13xQVpfdS{rK7VXXcTDeGbvsV_8?5>Xib
z+JV_&PFB54D46&*63F?oVdqy7vMF>R;5zXw|3z{3@V#a5Wvyt6F4EV#Gu-G3f*xP|
zfCW3mc6B~YV^;xwTj98k86}S;vy%my9aKrfz?8)1cPAl=KjyC7X3F-4
z{5n}}rjy}0LzLK%y=Bw-J7yU29!&LoWeUg`SuW;fRMSBD#=CZtPs>ARr%NLTmW0T4
zF#U66##ACB%Ayt)v(ohDYmS$Azf_o*kJeGm8|qF=Vum2fNDHUEMabfHSC~LVJ!+F=u}PA0lC6b*eDBtR
z<@)TnOTWQ-nKSkMl!3A5u|pv9v9o74Yvgi&wxeeF{1Le}zn5(gl&rF1>1+6^qp@q{YC1#!-MpR1{x6km=#7{&b)QN^kQjmV
z7p0I$11Hzb5giRu$|ccRB717LmaX7bYptI?@uR_}K+g1*NfIEWq3AvoE*b$mc>`jssRuSS%kjpPOOCstZ$2a!r;z
zKLTz0CU!-3D)X|P4>(EJ!~_u4*PIS9nrywLeixpPj0CNisZ~B7BT#Spkl)tu9EPi|
zfE9Oy5IwInezq>Vyy7e+1>=mk=h%iX~
zl8|8gs4G$Cmy?S7Q9aOrEmUkzA?Cm8VqwQ|@3`2%-&5U;pcnyZ(R!>~BX@?79PFvq
z%~2MR{z|x5o$1!&ukVukmLLWqjNdBWyC(mdp&q7&ZW5VREZoA+6jxL-$`y}os)caG
zGA+FNPL2-OS&mBvMLZN#=<4>_X+V}fOKI-nqK&9yq*}0}#1GI?AnhwxlyNNK#`&{B
zD-Mkv0xA=w5~PcXBy_^#rzGrQ691{qDmH?0p1R@5e-(YQTyWU~GZb^R*Kg#lBOk*Kr8@Y^^ORjMy_A
zSV2tvl>7B>VOLiUFb?GN2jj!O=*OaOs?akEz^fHrNG%Ga>BkHoDD*)4&7DoL4l0Du
zRAO2$PdZprL}D99eP?d?PFFXN0`M;@_NYjB@bOanl}UT1BFp&2rwuTXk%puLL6
zwf%LfX}sfu)#t?2b%4=%8!Y}t1n0rWAj|7k(x?MIxh)F0tvZ)mtTZn;$8j+6E^S6>
z5PJj@qsT-Dgv*tiP&#Qju4e&UOGVxY-6vZ$PnHOgkc+gCAkj-@AzX+k6a=_&ohGVv
zf3xk{1x3s6vyp4zKz{Mf!(O^~Y;q6Q6j&G&sng#p%~``Iw7^lZ?801rysOnm{=~oD
zhqv)Grn2U$F~5CM?l;Ht$%tXtZA3*jVP6*SDcGraq*$R!ZiO2e802i(mA%2Bjt&&w
z#0XkuRGvIJCgHLf2{AR{%NEm)F9QuV$_0AH1I(mm2U>)SD`|EAjj^*ltqi+l!E&gi
zmFO{rm{LZ8TuZ^+-vaEo`YsrPC-}*2#JKVk{DQOeSHF-6rDxyu<4@+6&0w3&0M0w=
zv-U+LSYUyuUs1k%U}FcUE^ESt>70;=^@st(McO_qalY6y%zDv@xi-t@{m~*ET%CMwDb|Fe|O|NNo9C{mo$qE|Khe~IzC#Y
zG`egl7#DscO~KI)&$4yLLbWv~v>Q4%rCf#)S$9k#+TrExbpNWQAm6xP6V4fbCQDr$
z0#^<$>Iv6FO!_xTqM7Ek^|&5fHzcDqk{FskQtzGow*g7a6*A95Ob%LraWGD=-DW`3
zr&4lf4FyJIp_3yn0@08yRg7f#0_mHW$Xz#7nOOCu<9EVm9n+bZ^sH)8nXItPSF>?o
zQDMhNQQr^93P|fsFH
zs&VO%CtoJq_*O9^E7loMm6BCg2`3vl3GDP#wI`C^-}%lT61O^2nydiW&>`d!Kj?z0XzW<}GMygGhImaGgK
z{+KNBj#63gH`28m!yfkG8^Y8Q1kBq`;;yekLX%lOo%@I>rU5%n(-uK;b`*2!gea6`
ze%vRlH`pYV(_a?=z!mE|TKt;`(~Rt%=vGGgl70(n6~qmf>+*QhUd>9
z*Inh{)ZpmFdt&_7kp(zfq;>J>4lE-hRFYqUF
zuZRJC7myl$$EvAd|0cI8!gcAAcrQ^ZR@j;I9{rg$bTPIR^fi#Jv$Yh_0a1HGT~r%R
zf>yIRBsTUYiE%Pe1sx-wL^Gfd$j{zT_6g%I=ykEoN0NM!#9pGTk1%C`Dw14
z*pOA3EZ)@VQBic)&$X1KtJ)%3g^n{YQBs~nsQiAn?Oz?*2&xz&TgEp-TE3#KcTf%;AG?nRq@7jWaV-4_5XVT=5Q%=
zr6wgI9VT?4X-OHPv2T@bYeX4dlonMb+5T;KpH(Rz>&dZ@@TUAnK_6$JQ`c`3J
z{&U&(Y?(Ryegh-gUvw}sUO!cQFcOUjlk!)vV~cE}fh#)S)N)rtHKaAErHaoystv_@
zPONz1@nrFYjnkT}Iz32qi?<|Xs~4;BUrey530k#{C@ita@DKP*hSsq4?=Sw(!R5K4
zXMX9$%Y@wS1G}2AT=6dNjL9NGl>Em0xo;4<_);4ZE#0k=OYJl=nU5&dTBld?pjc~Z
zoPW85iuIFJ`}I0;&$<0k&9e_bDf&FXO*;eTZ@B`O{VV+%vZnMHS_zuAew>wCBvi8}
zH}Z_&X&Enefsg9fUG_f&9Hw4LHEHPsXp=LMtj{_74?
z5;Z}Wp%NGgV02qRUz6qea!*2hj)M160
zVKU`zZY
zY%2vBoB!ET5L}E1WsFmDC^q=QE^Xq#o?;kxfL+Inhv|s^JQ)|5{P=*Kb^ri+vIoaY
z3sby*{umr-LWRYUtu~Xbau%58z>*Y(g-ol=$bLjzVS8_R{cq-c9E3VsXNhjKbtSIJ
z#f-JoWl!?Ax+~QQXq!|?xSR{5Vn7i`sio-*n|)ATiRPr^qq{C6HdY^ZyoU>$U@wCP
z3e+ZacBxqJL>lPd|0O8~iwYxdWghke73+UVGuSymv34fa)41b;EMC9=7n5u~g45XK
zm{_yjV60mIG-38oe@=wf%Qx{^C}~I9A+rH5;BiJJIt;V`-v-dC>sIlTP-)yK%ea
zK7GVaJK-r5j>fUK+LK_p6^Y7+_#if~2&D~0>zTCPgX-n3MDLOFYyZkEpDsS4U~-|b
zV?puVhDtHXh$L{=7NT%wAR39bz46L)8emqL74H;MWuKD*8EiS5Y>f5hc(tQ(T*KUU
z)z<(K!BW)3-GTdyCxVJ{DHvtsa6P{kNm*E(+B4WgU#ZcFpM#f8ax+csUpE%sCU}Oa
zYY82-DI*Pm!@VIlQAyOmlc5zaCfNgsalMxO1Kr>&q`_*f@V0xHJDE=y1r&xUh7qnh
zIQtpn$}T@~(2YQ)Ko4xec4mhFi}`yOqLq&?v>49jhMc6!lP#P8K03i+XV&l#oJQm>
zCy%q-M@sk>Ef7seMNLGGG&v9xCMxP&H$$xTEg-~4^v7+5WLvq7`P5A$?1uQ%sXE=E
zJ)2{4+wz?hNo0q=z}1MU0Du><-iiliySCZBKsWjT0zPPEc55qgC7uv++(%f95k$WQ
z7O|j~>CbmgLP1#>UwYxa_L_umS&BP+Cnu)VJzl?5;Ww0u=;6b#od*!5X2?!A(qqY8U8vxV(jhidX(uYjC_?DL#i|>*UY{C>>x%$4KC6RXPzNB8
z(P9s@I+n?T7VYw3(SZ;4RBN9m188a6JiHQ?FH-Hpf@ZqB)VPut(PgW|u$kg*AOW-w
zzl^H?%3WQFJh}v@jf<^(wMLgb4z0OeZ->uG&W+%66SV}J2a#_w#+hlLg6DpzcybYy
zc+-@0J$dSEwZdX51wD&E0p|3Iik{0qFS0pU?SWtM<~tu?AcF4zQ}09bZ$k*U=<(Zn
zVDk2%{Ul`G(9#Xi#vG(n}Q9VjcIyDR-NwF3Nd|JFPO
zex4#9(eSD#*sLQ(!cx6L6wgHRUMUB=p&c||Qc%32_g$piFDV84Nw-{n)y>fKx|A@_
ziQ#<1on$l1&g5nyOfysy4Cj5)9t^V$FQ#(w9r$QmMvW4DJ}Bhiu+-v>i4yV
zIjugTZ@f)@#j!xyo|K&EAgX$L2&NZnZNPxma(!PN#ElVat`vik+Rf}jr*Z-(XU-n>
zvoYMHa--nqN$2y6ZF{G#oLx;g*QtHj2*JP$6};A}G|zcZqgr}ti#40h0F{_g&V0Oh
z@^0t_w;dCX{z@4=5~)P6cw}5{F}Zm9BKrW%{!tP0&jKVW5>3slo)49Do$HPxgFD%~
z;RO4ydbQV5l(VL9#izxo>O>46;ih?E>TlL>DmF0Q)-3GrvEZA!;#c#GkI14D8PV2?=mlMd6}G$L?8Vfd!Ik_M@hJa#S?=oF7&RiC=R6*cdC^)
zxps^ljy&qe=i&1i>#?U)afJtdMH=`EWSb)#UM6w7fXAR4u%m299axgMLsX0(yD*tF
zE#=rT*q#~0XZd>#8l=vQ^%E*I8rx>fD3>Omp
zrgdLz?fA?Xyl~>gN!DAGk4-y?$+6|NP392BV>Ak4-Vw>4#pR#&Rh5T}L5tk#&+h<;
z=e)h2q-8h$oy_*xo)81Q%nddH7>d?S7NJ*rWs2FLaFElGru@?jC1Vc85cvPlX@|MW
zkpxWt6QHPmLv549uD7FGN!3{!h)~LjkG-=Fe|Qp**h(O(VRYVY59)f#(;ahV2LVl&
zKaP}2m*mQ%D+V0dj%8>Iu4%2D!c#TK?qL$6smJR#;~j?t=gDw^6ekFbbQPiQ&qc4D
z_BOxNx?j5ntuu|q8IA`}aL39F0S0bkog?Lbke8
zt45#QHq9gC-%_dw7QlV}IIP2jyy3v61-+ifZ{d>dP
zFaD0yASII5NL&73E38p8xC^`#!>g-c^;}FF{VQ8^mFcW%!<$Ot&0IjGAFRnaZo&*C
zoB`R7nK+gfUlQxZDSXdkVP&UOQocWNJo2adV+S<2Xfrj(<u(W3UI+tF_h!vTqC!
z6tzyilGo5B!8-;pMfgsK6H6|iBB+7^e*Nl|K?((X-taC*az`}$0eZe9Wg?9UZV>sQ
zJu;IDsk=Gcm8-h_`jUok#&^zQ#*aGXSXTJ@T#`2^Ge?5|VQ#X6G#=dOmnb
z(?}d6V&plaz*|~iA_d~kYD*B#pr$W|p&KHGwOF+T{uQ(o&gb-GdOuw8OrYMQ
z`Q_#!C()^NCV>1rQ*+CO*u5K{a0jWU)1mKqCQ3_=`Hz{p%gxvwCp^jX_=YZqi=B~~
zepDyDHNwt*hh1TMo9$l`KvV-AaaY#vB+=%kt2m`17^D=hwSO*z-C+xGykVW*HR4_D
zxznlz35x>+_tg$_iYJ8$A4%1R41lQQHuwcBd5x(c?@GLJr{+aLeSCn!ET}Cofh=L<%ziA3%+BO}bJ#H0md*shIZkOE+5Lor2+TJBIQ+tLJ
z={F0loR~uN{6Q^cHR)2v-*zLcaQQ^U$I!8(1^3O8`xagKQrY=KI&aMj&9dV)#U)mB
z?_`+rWBl+Iv#TO<8rt@GO&bwh3^ke>6?e)j)fGee*ggtdL#ObVZ~?tJ@Y^i>ES5NdKz35Qm0y^`mbC;PP;&?-)}
zn02!Mm>Pf|{IV}H&5cxltAN^XVjqYlVj$%G?5X}nyb#BEA#%v`mh&c^OH>+PJ*Qxw
zvI%=p33cD%U{R>xxgo>0{^(XI;P&`ZUAL0+6pAe}rt6>R!~z6zn@xEC#C`U<+J_Hx
z>rJ8X9zKMMolm24zxjj?5A5Naqy&ajz>SB1L|yiR%F^Uwgu^64Y=%s=@((O#U96a*
zvW34F*uTjvmX`ZTWGWN2^sJtk^~Q0Ju6uivNv)8+7)Y|YFuEV;xVB+
zS3@OnshlDVrfJbZpcMXgtEFncJfWAXRxID0+t89Ne)|xEcMkKa|C>~MwQu^bRPD>K
zS#h*1m6JA(wO@1Kn43I}Q)UCRc1a7_s$0H-SI1$t6lsXcPe$>vHZ*(zf6kLf+JGIq
z_ryN3u?A}c$9m(RC>2Q#78H$?^Vx{)dNtUap$=xG-eDYK^}Nh2yohPhs)iu%{;^pI
z8qOV($jna{aYMX%Ge}n5P@gSFAnBV9{RC*=C3?Vi88kpoyfCdV1vIh!oYoXYrH22o
zxV=Nz2Af!E?mrrxKSNe)S&JY7o=^DNyNg%R?eE(^hoV!y9C~#?5lF$p;^3vme>rr$aV?^Oonb)Nugzra8HPu;LM0(;Z*21QJb7`=g%GGH(;n0C
zZPFA)#b|=ut!jFTJ|H^cVg*ZSzy2lPXeVO04GVu72xes}DLGauc4mcx?4xAIHfH!M
zL;P;LLgy=Q{f(iZc-P|TtojW(NXLrK|b!RTuv@Z{)AVs%#*1l70_rNn$
zUoh~csj1R24V`CoipOn&)a2(Pp9+kA=F^D5!zcr5Qj5wl@R^>6Iqd~TG{d|N{zXydRKgCw6D+gik-v6T!M0=
z(Fn+wj+r#N;5H2#mHfcy&*o)|^PrAtfGWCI8AZ~G7`}t#qT+|qXmeG5Dfb1&v2!rr
znlV~|qdafEK&F7oJuo;+C&d;H8hptYV9XOA8u@qRnY#3j>@<2+$Jdugdd6@*mh
z`$tSO>_AH)Ye{BWiL*V~TkVV9VTSx;GEMQeJ2dgJX|SI@k%oL$LA2TRp&f^SoSoR|
z^l_R-AWk~dU#|hp=fryQc#F2N&d=49lb|jul^5UXgWSP_8pq7~b6_3Eak-wj!v*rB
z_uI_yJF?SU3p1BN5Kyk^_&`oh{sMO?4Di~Q#+LSt6gSfTRcxC1(2q`?KR<;8@$YyR
z=lXoIrY#4X)ruY1Y7Gg(9)H0@i5?NSC(Cwz*a#Or^p-2gZ72{_l}vQ{^i|9=)<_PQ
zgEokc?|ghU*Mvz=$;AyRX&EUo&QE_AD~wZi*5u4>@Q1Cp5L6H^v>wItN+ut8O+zp1D8=~U^8IU}tAtII{&S=A=seS}BC~Bvm-rbBl
zR?ZrjaCN7-<8;{4x55}|2!yqr!vb2nq)b*2=bL)+8KPqSl$d)xphAN6mcJ1W&mJ2}
zd4l?8{;MIjIw=B)e%_Vl<(qUJ0q|!i
zR^vj)N>h
z3h~W@(dp9Pj5U}B0l$BV#)eBvIxj{!C3j_GZfm%o#5n}4q+c^dM+GB;z
zacOffewbCp?#gO8MWP7n3yn@RW@Vojb>bQry6ogMmV2s+2*^!`Oi#58u4_i
zfwno|3fZ+hpaj~L2pun0S_pnyR*W1tu}dqDtyZQxM^xj~b?^%tnv$EVb?;TqX%+Mh
zez3;t&m-5KM9x*MyMYdoYs1Cv;6y(vQI{QPR^^M)bgwVUkf*&#Wf!{1cWr>CQ&9X}
zr1`S9{K-#VUGY_(oxy*-5otka-lOJOgWDOD^G<(v{0%M4Q_KB^2>*wHgbWXQ0_Wc`
zx(ZJm+p|w6(+g*7qY)+4xE@;GA2Tt)FLd?$;u)y|zWJ>#_X^v2p$m*Cz)1Zm%=OQ5
z!;>Bw^-}85v@ljWZT9Z$2@kCDSl$w}V2rW0%
z0im*2j%N#$Ur&*w{X)rJlG)*U_g^K~<>?HTg77&#-Pp90OgpK!s~xGYw=x^>fm>d2
zmliHuXEHJPLs9t`6;}Gy0iWP&xkblC3TM3!9}v%L%X1|O9bxN@(61$SJLIhGp0vrY
zR{ojZ#^rI;n@He(DV8RP6TDXg*cJIeiDrtQRA`6gQA(wg!^HBLCdcUx&*G&P3`+Fgc(LcSxcryA6rl&M_Oc)3V9qumbV$L_V`V6N>7UV&S=vx(&p>UdZZEwbW2v6efcFwP~-zy5WT#V
zXje_s!4@@_#2%#i_b0?LTX;*=5c_Ty>I+Zk70OP972$JaYuX>&N9BhpQ0D+Oai1gP
z7fCiMLYp7m4M`7ORqGcM0vvgTOlN~@?>ZOA>rvJlj5{l1UtcH5%MA>I)O<;{W6xEU
zrHCxRfnFHyi(E|(Fty7w1+1sv5<-%oJ2}(gh00cri1Hi@mx`hIbH2J$fC2d6SM1bi
zdR_DZg(g5N8I`6|AA&TLK(k^~Ladfwvsmnb><$zkR&8D0G3c=~URgHGm2Qg-ngSePnT3j
z5Upm=TkcVJ*fwl7c{_aKnXLj;v4Eo1qs7GtO`u>2(D3(II0iY0%p@JO24TVF=6?EX
z@&N&AR$&m%o|LKqDutN?w#6F(!>^vUD02Vo$o0&bC1Gxe@=qRv$zsr|yIA$%<&6ti
zWhAWhqweIJMz^rC;}kLSk3P3))S|d6v*+~BKN*8XzxnwVhn%c8b`fuITphvu&+Cb-
zr$}lEL5LT>}YefeqEp?+oy_s3e>TZgb0(Qo~NPmP#G*L%*V?_W(8C(L1!8$EqG-_PIlIRhkfHQm8LXB_=E2^
z*wv4viqpsP1dkI0k~uw5<}26R1;1Us{OG5T`K#w&`
z;*maVq!%kT1*tcd9OZ~R>s?wrhT<`8lI*TEOi{M5{hAH3Rl6tUjks)GRGkgiKdYd?G3_#T?o8cDn%}K3bDdGex|jCpMst&*XyyvM
zN7GY7_=e~KwJd)H-V99-Vmf5x<+haJ)G=!Cm1hnGlIFKkeKA0~5plMz_(r=}p}0r;Z(Ic7r;
z?_)Ds;|IE(C_Y}D#~q42)!^xEl|bdqTj)|S)kKF$ZytTj(ZUJB8-@GU^IhHQ!Aqd5
ze1G}_nfu0iUu!U@rCuzvZY~U6#~?4(9#@vBE7#-ZvOOjgwzV?b)8`}`;5<(GeOT#f(^(=|1%vWDEbu#2{4xg*MSS2jNhsPdF6b!N
zkQ_6>2=4(o`|z<*jSyc3>y);ZRg3HHDz0`{d!v{O7MnFgEKS|{P>GNiHPx_zm1wv_
zK`362pa0pA+r!1emWCLHzo*Y%WBny+cl&k;4tNnDpMxvC=&%soQ)-uI-60+i>F+CJ
zo3|19ujNh_*=w!n9$a7rPT)5U_M$kNIZk!I#Jt3p1vZT2ag#051{CcKEeNnZeryW#
z@FL{}NOj_7`&7a1yOQX@CM-)!#dF@#nbWC&fwlN{z!a_cr%nvIw>kOQc$q;?rvIG&
zD3a$E+*a6YgW1`~r{5;tLd^9BgSqB4Msu11y}dkP!{N^(fdp&zK=&l&_5UV%ti>yG
zn?(oD1mE2Fcuru1o`yW>D`cUn4WX)0e=))?aX9Z;vh#BW7S
zdNF7z1-nEjKtqTGFTk8WIqqI^Lt@SZ>msJ5?qaN3a>)*57W2`R$EES_@Kp~K~`c;ON;%jk^cX^0Kf*0huF2)iG~*A
zoy(fSg+|vWheF~sL0VC9OSA_&rvWy*&(KCwgtD_l9t?fxLW9UKDW_FvSE+PX4RCUN
zcR?SPOJT6J&XZ-HY$fQ~v_SMR?hz-VnAj0XMcSJOvKBPvHVF8x7k?&ZgZ4EcsQtyt
zxf^$XVK69hs$PasMfxzW&~B`Vvd20RshN48<`z$TcOkhf4EpJ9
z?MaJ$XoRo*{6Pjv44ZW%BrE8{tB8HltNw>`xajarh~uV=!pQ0K=8GU#oQIfYLc{N`
zX!1FawV^&lYGP2yIC$G%w?!zc$;)u0g65pDFH)G3L4E5sw~y(qUMFycUd@=;ao6r(
zaU)UWq$7-g4!cJ5$h%u0^39P=wEx;I1e|wxIcg3jg}wxMsXdqA5Diq3&nM
zg7yB}AawXKtdwOc58|w=t2zz5eh@uEajti)vJE(#A$}{vH_ZMa_}63Yi$;1pxxz@h
zM>C8k5o+p)sA5?%)ik{V1wE<*4n*JfBe@Mac&O}y6n58Tm}I)ku}6r%z6XqFmy0+9
z%E)N@lhNSj)DCdP^KajB)qc4oL={Zd-9OvS;@5qK=tG5Ly&(_e2zJpo@sLet#V
zS`4b|eq3~}|CE!&{P2E3)z$f-pPlG-9pn|A)3-7b%G{RghyVHiB^m8Q$
zu|Vi`!|82FB1$B^74|ZDR&yWp5+QYjn2HD+Jv>XBy25vUFW_1uAO8qnnW)~LBxDVk
zZ*e><#PogDjj|ii-6lMHax~)S^*0#nK_7YFrZkSfu>mvF>rFmaj+Sh)>*B
z-|i?d(MK;xeuZA)BQl7ov4>`^A4vasNqNT~KMX!Gv{#m=?yf#J<9IJ-M4Al&sGPzB
z!5-i}JrK>5)d5P64&L;R4)eHj`uD|iR{0va!sgW;f33?vO$kXk`iis{4EZ4v&ciX*
zxbZot;&iR}61H0%s*X`CwJjo}Fac3uo*^hYuQtMQ28mni2f0iXGT|P2A|4tMeUL4^V2*Bln3DDB11g3P8K=hRjP;l0pf7CNLU8O`z=@zV
z%fAcv7;^s|+JYyJdSr>E{+@)3^wowtREW|M2`N|q6KS$_MwH{-1SIWq
zM{BG`U*AllJN8#F7;mpN4g?aCz!C(Xt%Qbynb%>uhnik
z2K;r_aNetb|GN!D&yRvfkxi{{>mFFSbunqZeKYe`vw{7l?4lZ;SS<|`Y{8=k&0f#Y
z5CIbpnnhzoC<_n+%y95rujqd!VdsZn3G0{RID7>lrmv%_;fS%+clj?^a`6%#h;HKc
zw*CYnj(*V3U68j`i$|?NYE9!$KmbN3as(LhzpD{g!dyC|?Z
zl6B!0I>fq(QxmeDNwF-TKRC1H1|EU7;-0BK1PK-G7wGJq95kYTGj{ENbWF!4U5BUP
zZf%P5@%$eURAnc%8w=n_K(-|a^@!m3t9BGNno!<+qhx4^(`H6Yjqat$v%c-Yw+7kf
zNyK?S(fD5MMXyW9&p=&}Ar|8eC`JF^e14Bmulwq5p{i&?tza$nyUa;;h
zkwwIwoQne^*;xIT;RNhmJOtx_)croUdojC>*Jbh;)QW_{hlW1sRG@5~m5*}vd6@@g1i#ZiMPdoM%zm*|7ffr>E
ztLs{Tf)_r-3-o|$P*t@O(_mn9_BE8$T)`Lu!ov9~vtE0|DHJXE(GYL=`nv6`)xr;9
z`w{9tmQ``Asqp#y79YMK;pkO(JQv=p5L7a4JXk#9AaK|)G1?}M;L{fqd+ET-w%u?%
z%$Rx|GqAXT$|NEw>T|KtEr%!98?oC6hB~L|O8`sh#iQ$D#CzTh_rNfr-VpLgLFx$)VIzZ<9p-%`Nnu>
zc<=R|!#U^o+k5S`=A3J@XN-~SgP$$W$Maq>KAJRo6Y+X=$xSqrQS}8{TkbzR8XA1*
z_s=BOb`}VU+RBe9N2@tfUDWpviuB(U?y;2>?_>PDWTrJ|g4Eu&Nf;xudQbLf@_8Hc#8^Q}WO!o=aUuQ&MDH*+-_3mF(UxC%@7Nj9d=
z`wz|*`S-JV(1nuUDE?mO>9vwWPj0e1d>!haE3b5J+$nyhA7q57_|1_lsJ%}u-16R8
z)(N@)HV)=eSImRcHw$qi^Ak9=
zOkrBT7uU`9aC8SO9FF`Z?CR~WO4#>)ioUs9k3Di;CySNx*>%j3U%j92+0=}!MC0tg
zncDL_C7Y39huA}ZH)^Aw^X{Z9so3v`g!r$uarH0$-T!A#kEhm*;mt_6EUoR2@`q`*
z*L8-8BOGgJerW2to%7ELp4<=IZ*2#4(h@YW1Zu7dk3aem)u97ye4wg-w#E13ZE3IE
z&w5|VNZuP{9*Rq}yJ
zLe*9AMB7~%(}J>_t;z$l`2Fa4kNjH~-D|@O{kG2z4$y2$jVZ~kt8-a7(aHX%WLVud
z-)jt-rMA!NST|T&-O`C)*;#orgu7GnVv|g?DAp+8Yb?hPWQGtl-`Gny%<1rB<
zd_)-T`rQSoz~3)#dS0ZM+Y#dZA)Z}AL%GW;O!a}~9_yQbPd>17GK$e}r2S}6@X$Ay
zGak|8VwGk7M!X;S5JjGDy+6AwW9Xh@TZH)At9ikYm8S%<^Ad>62R7BI@m$M{r$!u$
zN3l%`%R&;Znwg9^N;nGA-<$qSou@CL$JOvbK7QN0#8Q4{UK+^ctw|P4#}pjvD!v%i
zm?9JEwd)qbr_QtBzi)hG%BjK-ieUhRp-hnqACju8Yl_(afxep~R>-5sNC
zR)|JEGFfAlHYA!eU?uMM@4q^7lJvL;R`FEAfI?E<>IH>UqolVAwH-(F%;Jh4^x0&u
zBJ`C4^%?*6+^pmOKEavGc5x2bD4XW1$&=b1cZOf_?p9I!M4sV9Vwo0Ie|I@1a0}go
z-&vd!BHD{dBy|x}AwMa}?FW;*JKnQIQ$D
z2pxIY-HVVY=i!WVE@dK26&o^t&NBx=^>4zFPx)f9R-NV=`xT;XV`}|sWc${bQj&d0
zDAv>3LbVDt(((%=kEB>L+C4sJ(~O_L`_zx8NZ%dv+=n1W?>j%b{FRLP`is3zKSJv>ma@wS%!2xs5A=~I5e
z)wzqM@dD2!4dS~(cVDM1kk0w;bSUhK39cdRE?tW!PLlZ*K9@8QOlk;KUY3%gk=%W`
z+l1nGZS3dD=HL=2svW(I8)6mB?cLWHtl@wXCrn49W*42+xO)Es8-Bm0^bt8hQQ7``
z|F>x2DRUb7dfgmWQr)*-QDMcs*qv*)imIwTSi6O=d{jq_xZUd`j6;)^$Le{_7u>D|KBwEI
zX4*A^Vd`;=l&gK7)t#0aOAV(SEHA}Zif#Gg$;Wk=6=i2hv?Hs9qxbJbMsK_@xvn*+
z-I7L+cjL#@ZP=eUR4Guz;W_0=UlKV+L0DyU2&Qy$Xf|2a(B>ZS`b0hXAfz)ZOvkBa
zqab50t9yk4f%n+apiQ%?uZiTVot>+9v>1!{OyiYFS?&S;E&bVFPW-5P&9l}0M+&Lf
zlL=S&FN`SuoN#kFy$^r_*#5a>M-P5Ov8w00uLFL?{)>X`ta*ozQ7EX9Toi57J-0ZW
z%KrW&jCmEPV$bSun!OV4%{kHUy5jq`?S^7fo$K%|V>CkXgH~zW8)O;*Hb)3Yezs3P
z-pCf$B67;nCy8=yd^E*Ap9h_&#E2C0IUBvMbE_5T?&@FzL3`b
ze!!^nFhh>o^M+IhP1nBl>vpPN615M$FSsY8>Z#9GCNkFVP
z$sG&-tVJ|c1x^LtFf%zxP6ynkbrqJ~1a{$rWxFDR%dW4Y5leg<;w_l67(#`Q|Ds&V
z(tMd@KbcBvL}K{yOH?)oB5ed>>7bA$N5JiEY!~!?{q)yp6sb6~{*9E=5T>)-VcnY-
z4=)mLmEVbJUHqfB_HB@KNg)*1&b&4w@3Z9`33(h=F##(Zr=rYWPCb9p3Qy~2K1O%x
zym-QVa{Fq9vpYV-0$)XL%h(|o&1a4}AunS}jLZkji_`7YYr1T!bp4@^y@sc9kLyv9
zY_e=lztc9a?fp_Vf1ul_F>^LwO0;19T*gFy;i?$
zrT8%vb{)8Y%ClC8rTUi*mEEsohIbZqxJt-(VL$rp7p7T{ow|m@)LqD{f-Ikz_LT^{
z1_e|jTUUvYDTQ-bDy*_AA5AIR+L@3_g_hxO8i
zje4B5=}r~l9#m#H%h!r^ho5^Um|(>{k^hzqoIxE>RP^!#8+I{?&HjRNNe#vNSDTqi
zH91`oda7bTMw!!dMn&R&ba^4{Ad&$(ouj-^k|^6{UKTPo|Jf
z3}$NH$fP5Ao6#;jb%f*{gLbkrAXHG*YC~rh(9sd_42|Czk$SUz6MnKP+PJ};rYkVPD;k`q{bOS(yh1QbT
zKHJv@ETWh=*t*(Vwo&{Z`P-1@5L-MmBl;^xxHjZD^%C}Nb$6Tn5w;^h=Zh1nk?muD
zxozIOb;+MYJq}_)y$bgiLEEM655o|6dc&FjzM7>%rdDC*xDAiPqI9@im0RHmxQ}w<
z-3T>#`}VEIiZ>iLj7BVzJ0?@O<|^qprRb51x4xbtyXg`#?x@fT8H41?Zd90j42L&LE#d0z
zA6%>tx_b{ao+6%iE``I)Ae^Vh;1uE(bq_eL96i)zacAeve3LEt4i+L5?^Ylfk`obs
ze!}T180OVfE(>r&2<>b*{MP@o%@2w0i@5@l$+G)PP!pC4IOSzwbs1mAzOM
z42v2qz8*tK{Wa}YXXIXunD*i=irIYV0;A(PHc5ecK#O6p>|SZbTX2_2Rz(Fz_Q8Yg
z4^m7_sBku~G#ovC``ssMf+niyw=a
zqvEmMkTtXk&A7Waw+#>;Bfc%uEuekOV}$+Wz~)sU)$Sh)?PRmjEu=F|bAszP0f*qzxiW7BfoH;U7ll!9gV%0W%rm*$B#dC?3I9~}!$I~D;67m7
z>W@<8MBU!@_&HD(xi`@P%8!Kq&YRQ7TFh-fpvdi&iH)KV8xN%&`Vrzg)f6vO{!R6V)g4-nxjX;;iSH-?~(~bCX`)y8PYghHD-?Zn+;_m9=O4$-1
zM?oQ`#K@sLd{52Eo5mL$?k{z_RH|dy{n$7>{AjhSZ8TWf$cuLUSBmWSP?Wc5LT@}P
zA-!rhxA-R}tSl01d!235#0vgYA;DB+{sqNKhrR{X{PjgMg&-5jqjZ{Q?2K`K{Fwb>
z76ilFWTHo(dZhrlLJh1u88+H0ii8@_+-OO2b#-y%_Y@u{#Z)Bya-b^tV|oqCv;WGjwNT2iy(&lhU^OjM
z3wJ3=Y`;}N73a+Ad=HK!H442wbu*x^YW7dtsIWC})HGOeSO3&;yb0oq7#Z16^U#6S
z9(L#pi97k~2qZzWf3@m;Jf4IHC)$|XEV
z12KaI^5O**SNxw!fN%JeJjp5!AV`B#XMTy=Tj-eZP>grr!y$l24BHag|335I1qWrT
z2+On~ACK>(WGo^dc_dJgkPl64H7aq^rvHyQQ=Cg9JEC&}?m{wu2voBtI>N+a$`Vvs%OM3Xq^87>KZl=;>p@wl(un
zx}@Mb7=g>boT3m-
z;`T)GAsk9R!MXsxrDUs%Ls_T99O=$er_~vUY92`_|aJ91Kr)oSJ5(Bpc
zh3HuWQclChaIl~-1~2oSGO!`YbY35V3)WzZuk||P6qk_LuA2X+P%_yuH%I#RIMX3ocUgihHgx!>g?>ym@u$iJQUjf?OSp8*%CM>mwFsof*U)Q)WyLK
zp)o5tery>=l8D8%H488VDI90z;6U%-e%oj6dX$imF!@jn597wa)7>aAC?+C?@LSy5
zBgoXi%GboH(u@B6+X?QDjDjM&w3G+}_`ieW-Iqc{$M40fOxLXU7vKz-msM7h*;G-<
z%gaxdTj2ismK+8)H0M{G)fhS$)Bk8*ZU-u4w}Gp6VQLeHPHC%((hnhA3eHZhmJ3us
zJ8o`n$w#88LtFM{4_Myo&IRFh_=iJKYiMesG0DOyc2Ax@jY~)f1Itr>oD(WVQerZw
zK-K3H`A_nZh(t?cFhzvatou!wvbK@XHk?imM!z?h0yWvXz{{7%eqOv#$cCvM?8gtl
zmX}FNiXPSjL<&ZC3@vUz#;H`8&i!t1N+%*BGCuQmbrt-`WfU_kd5#wn5~9IMmMG@N
zIq$xLU)>BY9c|;|HxX|W6LrGaYla87THXW(qH^N}B_<|%ve$e810LyOt?Y~p1UOo^
z!5D0F7wZ*wgBJ!O@rA5sQ}g_+8E;b2gcKW?Nd>{NChf-Dt$lr)0Yy5MRa
zt;Rx1hJy~iFQu-#dPVwmB#dYYKb+;Rf5D$NR5-pPlu<8UK%;
zJPG7#{)6h-L?@a`@M0)MCX9dEbEb~F-um{=kSWeTJY&=f
zUJGSI?*jkcsiYi>=w%tEgn>hFf|oe(+$QxJPN=C70>`A$;^#t*zv0)YU{!&|nTD2D
zD826=6#J$Va&d8Sx+hU0HaImB)pUJ>gXS%Y^77A;Tn`r8cBp-Hb#KAyoyvGc4ekf$
z(roc6pL267*5T_y!SBHA&%sinlwb4Qh2P}~#lMs7Fc=a>R#vRCva&=0TXINN$hpF!
zm!tvfL0Op0RGf_Lx!VRq1hvnU(egqT^<0vVohzw1Ax{1#HNW&wxkM?6a@}
zO*Zi7MrK7tB_*uDz(BBA2!PlSZLEeXENj^X`}hD@o2sAqv5AR^u?Pqh;4;%Zx9)*A
zc*~4!vk?SSnQLm-=$G9!{P9D5{POdv|nic
zW~Yvgk1y}wzzzQ72ViGbS|9t!qn}qa|s`K;nX#U_YwYl2&zN&x=
z9B&Xrh~Gy?*>E{pNmsCNK7;4WhmV{FD%xN5^BpB1)iamr3{JdHO45CmmMZ4H(9rND)qo-^*%KHw4^K}L1cX@@;i7S9|y{dt^l8RFuuPv8ic#0UrUwTHNhZ;d|-%PU$w9zd7%%D%;5z
z1W^a~@xSeo*>6wv^i+70-s}$h`y;CNbSo@%a|EcO`8|G{|2{lq3^jQH{QR>|fnPz)n44`zFKii*g^18>s;1A8Q-H$6PD-R%3
zF{Y}&h`0a#S^4Fsy}5?>`kXbhc3fOsR8qd)(dS9wN>B|hG5pCn^>wnnO-xK)rUeJ1
zB_G*N6fxH6tD^?Aeo6I~Oo!`+lsL#@q^U`U!T{BNYqBJL&TFEpD@4>~OHRms{`1C$
zRm0`x?yee)OVvH2ObrdVn%$4M{Uu)1o;~?m-?y{@m>KP5Q-iVzTS=h3lzi92}hT
z*%gdN-QbfqfLh-)+zHjP$oT<_m
z%xI|2Tnx~=qPUuSf5i=~nFD%q2F_AR72ed;q`S1cy*)s8c6|I99Bc}mI09v1Kql8<
z2ziqR3sOzX5}~Arn@~DAIwI!+p4@VaA6WaW!8%ngK!smrJr>%uj*g0QPTjlal-wv}
z_cPB?N)SU>=5fIJO`!5|^{%`91Sub53k%u%)|?_^V!mLLvW%SW&MFsBg@sX}p}Rj`p#d`}xyqBtzyyLV}{4
z983ehaVx^f*|~y5T7Z}gJgPd^kESvIhSB>nG#NgUlk+;=Df7&3F_L+#qti=30)zYd
z-?4SFIIWng`K;5%2xC~F=|Z#5OFtm~Hq+&Izqe_m}nFq{A
zpAVW5z_fjMtyhYLGvGrh!HAKbciOViL$
z9h|i8ou5Z`nX=0qw_(zk4!><^5W}Yx{ZL*}5fPr(*qGA%XBij#Sfq>fstW$ES(1}e
z$$1AS1Ft%G+SHB0GK+@5ggCV^P?Sd^DFA%~zgB+zvScp(<1Go!JZ~Vi756*eX1#Ai
zJ%BLvFy=^9W!W0Zd{B%g5A{r}R_Qj$zl)>cS6}x*KGCv|J!57C(B-oEJ%rYqMLoqT
zzB!8l8xIenbX7y+_12FF2|6k&6}I?(yIGDKB^s=s!MQ$M;%qZFz5FjT6I0P|5fZZe
z{QM&B)6>&0Fnd!!@+Y_R!9efjG}Nb^y2!xxfq|%M`vtrAep^5CcZxbkiw5XiZX(}w
zn
zg06Xwby_ASUP?SI)cg1D_3gQE=-0k|#^dSbH3pW9wm;~jQS5jc(&ChEPc?e*Rll4L
zyqoS#;#5Zic~Hw501c$)x1T;mf>Lq;4u39RhfQDV{C%pW)y-K{S6kaUIZ4qGir)b^
zY;k4f>8m=ZE4{tF2xHf~hlf4%v-jEf@Pd$_4D!B!-TqgDhN%!eC=ZQS|F#9K^=j;*
zM@B}d5_D-n12J}!el_1Xy`^ts!`9&A3AloQVhDhgS+1`?>)Hq)BS
zRHLvM9LJ5Zk#1n^|F@>}rL)^>LU&KkEVuo6#9&KA_EmIvcxhR3WK@({O@NoXyD`)-
z!M|)&Gvwsts0dK{y6kLE4-eb4jeIO>hTz}vyFKmgvY)?vnNgdhv?iG~qnEFLy%`8O
z7hvKdKtr7xJ6hlCOE*`sq9^(09O0lug@B0|m|a#+oG9fyp-$H%50Xq($E2X30A{r_
zTT`MHWDiJXJ6HKOiAZJ1#?LzE;vK0NdZ{5hMpqXX7ptnd5+kV;agXxuHLb30)pk6$
zZ+e#dyUUaZ`E|#~uTPIa(=+P~Cw6di3)3rB06RAfJWAuWgHlmQqtjtY;WT?LZmzCh
z<5xN(?dwmA-g5xr8&8%9g7gj036Z#POwMJ9*V-sQUY@FbpIqCz&H&a^^D|yNv$fM4
zUdUiO{@^C68}OWh&93H6c(_BN`hD_>%N(u3T^v?L*}pQ+6^$C*M^za5%y~g_E%asM
z;OGJ{xa+H;qN0=eil1tCW?D0?OFJ~&X2*&bZWbEZLwDG5YPM)t1X-Z4JVJV-K9c-<
z8>&Vapvt+@^T6|TXWG*?3Lq7@?F9fHdB92rF~z{afggl{Ur=_a
zxAyv3ll4U9;0yy9&i;V2y#-_?ELdLbCu6{;fG42BU_Z`Qc$U;6IH~ljN(%8y=8p{Z
z0X7D{oT3Y+R+M!!5tAKFrl$eX{!<1lJY@i`jbJ`wghEqZWiV{vhDF-4tf
zLfIf{-+D2jnJiP8^{=o%=qq@ddI}g)2|F;HE4+Fv#Q_=u&=^TcN%y~N35A3EKzMUZ
z2m1OP6HlSO0);~C`Lz}#UUx@R6N~|UJx!}9QkIA`x3nxTxYb&eg+9plG>UfH_d&9e-AGm#+Mlu`>qDdIG!Hy5HMF0)m^>k!r-u=?*7fjwiMcNb`|!eKD0Y;JrO
zmX@X<0`GLt($M^5Ck>YG
zH2rtHS*3Rl-)lL}gcH*KRVokE6U|M#?60aR!o*MVKe!C)=KXk-ed1Kozbzs&Uupm
zP4=_{P8%fSYC0wXd&<^=7f3EzW~M0ktu^3=uFDD#s{>f`vmdgx3VFOvU+Oow;y1YN
zwu3(-wSLY-^{eNug1T@!V2IaaSD)^8b&D+?$6ps~Vx0Ln8>?o!4+YvW>E6GUtDd@p
z9t6dMTsD*F=@->DKv_uLZS~hLQ%ERSxVRlh!&0%}It;}h`6T$rPF2}bGz@f%jgbO2
zu?{jAfP4(a&2JIDoq-AN^435CS5L*T9J|{c9Pho2I6w(sIb_?T)1%zWNGPS4&oj
zEk3YkrOli-6I4J5`vAid#TMU7nh6o7RVCGAL42s$toQGC<~`0va!QB|bZ<#|sE1v+
zT#f!f{ZP4wW9C7-t9SeEQ|h#)QdlMUzAqSx9dp#r`%F?s`l3(}NH{54eSE~J{1
zo*oOngvXm>m>{dj0OfEOr-LKM4+r^%OE0&VmI7d81pm0`qFsUHf(xP*@b~4U7in!!
zc$T)eals%DI5aWn4~&3AynI}+Jx_aoFRBXCiJzG{XphAcJ7LE&~mR7ozl{Eqcwjez+g4lZs)o(%;Z47kWPGY)sd#KG_1rp20f
zNU*m#Wmw+BAX6nz##vOWBUmQG@d
zm+fEkcblpoAS|%g2*4KuSyKWM=E3@QVC^+rAJv(eSw>%B8qMG9l9JpN9XyC~ARAC8L50n-o%~wVA8kTe$Wii9P)n;KyvvkE#0l+NvQU^N
zTga1qIZ$4ZYbQM&$T6Y2m)E3jj`8DHQ`^aKZ{-CvnHpA;u32nVBQRExFVcO;p>*s>
zUKJJHUtL|z$jieT8X5wbz5`yiA^lfn))NEDh$%%LM?lg2Q>KqzCBNbK^_~kA88%VD
z?rqS-L1ydi>yrT#0qDVmHwlnz5ZuqC$eZGvVX7?;M;8|hd<+=Mt&yB7+mfbG$nerE
z?*oR{vukT9>+0%243;%CqzlJ_^|mov!v$#XOmBfX=3lKS^aBX!#KSu~<=j0yWJ)HP
zL2ia3)%)!ml45**a*v6b8E{y$qHA>CSAOg9_h57m3eNPVolBeZs*?!(-PYo@rbsJZ
z`fv~A|EL5*Pi$C|-H|uh9gcpf!I%Ps19M^-&V&`nyFGlv;!l~`H~aZ*C-81y;30@*
zSji@Ye{3vwMe#T;%ef+e-}ep=D?;JX_3Ry}G-ngAWKY3bFV_zPfS_eiJwNJsw)Omik
z4}cCMeK;&3fdUGC7G@UtjQ*CY|J3~dcz+~a3@$#JCPF(PUy?qB`w{sFf;&EL0{+Y-MdKZ`u)Zu
zf_k@oyZ82ki99?1G}adIxt|-ri_mld)-pZkE8+de;WVkJh~%}KTMwu+2T&|c!3|v4
zZI1>jIAADf4f9xkzm0c`_p@@SyG1ya`v5{Q`wr9$NX*DUhP&C3^ad@ct22W1v7sS>
zpWn4!i7qt6#Q*VojFT$PEgiZ8>uQB=1<#8in&czEFBO*GOvkO&Yz||f3z(x^m?pdz
z3rg$?2&E%7Re#`akRm)Dzz7K1T8AZ6q$>7r=J52i+wbZqJ?y6`H0MH*9Xw&VVl8H9
z6@xNWsdrH!Y+eC9i4Zu^+XPSrVP-tE;qdXHF;^g$sbLJN?NpPOP$kf|NBT^0((s2Z
zei;}@I}~zyr-vfYKgEG|-VbEarICOg@pf~8Dmlo86x6PfMvtSgIez$NjL`qn;p4Cr
z;^pPzvn6XlLXwvbX^J-?At8?{CcUd}zAJPe!v_Tg1>t`U`lf@UV;fW)deeutJ#e>&
zKv~Ve2^W8_%LNpRsZx`mXfZs3n18{ubhEwORMD)QoR(6Xo0~cnmiS-w>r7pKF2|of
zRwx`d{q{+q)@7RXqOmvA*U1eQ3z@b0=+J^7$66V2R`Z~Ad#0lQpd%|hX6Qb
zyn7cD(ikP5<(m$ojGUYtB{enq;WPAk_)(!mKat?nVQ0HHB8z2KYLA
zdwU~mIpPWMmm&(+-}-`Mg?g04abkF_1*Sa>6OriUQ4mnTLls
zDJe;(`sJ+;DtDj*WlI`W4_zim>s^q;mmqn@F)Nlcaz08G4S|KX1bYrD3#7mv8FZ!2
z_m3p8p|B%q2WLB&{@_Bl4Z4cRtLhyblmkr^+B>#4W5&#RO+ZK!_Pr1W(G!`MkSaVz
z5DF|)H}~TBQ7e9(CQkwAIUxBCw9R@I@bkxQ%AkjqBI1kzgaSIqNW~slh%rA^nRy=x
ztk;=tDnC$>N48Jg|83@?B>J7jvuiIyo;f%;XbmT3eyP8vU+aJZ9YT2kaIi4r-o5+&
zIq;u2xwwN+FwIFnBmyi%u})e0FMVlg#GSi$NjtbfnXv**SWXTpSAiP+18^%9zZDUv
z+fP7{VHFZe_}1XOuI}XGk^_u*6qxrtaq*PTPx2p>q=U2wS-$D8n|h}VT*pZeTQgPc
zUaI+;@1UuC2^=1&tRbxW-ra#p?E)sx)F>H{g}%dzQjxQ?PlMLN>e7;oL4#`!)EHE0
zNcnl?Mo?7lfqD<+crIQmAOPu|5{*n0r69)?`
z1C(x?$*;7~POusKf`2Po;Xl!d-~GUt1PcwCD{^p!cZ7t5B4cB7A&A5phd`i@gL^#p
zgSsmKR39!DpH4iHgp@SGgz}SwmtZoBlvKK@nOWc1*n22CvT$n*Wjd;9X=xwg9=GYc`XL7h_w>Wv$HlamRd1hgtpEm#7ir2zx-CBOLld#!Wj
zFb|d%KOkQm5bgk9)Waymx6t=wqu*tv5*f$FdGX=}=YjS-
zw)YcIIRllL>wRM4_>UjoLCXvuJmOutibk!hU^5HgI;%+uKH|}bTupL3JUlzsAKS+I
z`XXSphlg9ObVtLtvxy6YnnHknd}!X$Lloe%q6JwR-L96)e>hnM#q
zkOAnZ#Dou`_V@IJQHExMVpuv!Mom3X|BDkOUBH1`a}7fInruwG4GDD6=|N7Bf&xa8
zDhpDehR=RJPC-vUe3~vHgW}(Oz9%MlNhoz8jj#eW48nEnkrXjv24ufvODITa8CrqM
z5CSmjQuWU31YV#|cyw~((MouJ2oDFMuTB!t$@UFI8Z3m*$+)(hT;=P{C#IC$1+mZ!
zQpW2j<*b~ovQ>mmR8fQH`#w3O|2cMutjeQDcbT$~G0R@k*#7aczP>78V1Bc1ys*j6
z!;LoVNCkD5K&1Yr)dQ^M5uiCO-;0RB3OtyJ?^gVk&>=;YzN?;6`aHoRqj(ThZ7hVC
z5@h)>Kn-$u9V4J7MTBpxB^Z4HYD+{suA>12S!dk&&w&Z5bc5Tz>lD|=Tk`UrCtLDx
zaqul~Zasj;BisOlIjS@?Ps>%DcV`4pr5C)9@QI0ie)ru4=$>C$2{#UkpFF|}Qn;MC
zkw$G@o$iT;p5CYNmoOlbFI#k=hLBNF>6yvEh66cqIuLv}n3J6VmTUr*y3GVo<-V4`
zUail$V1yi#Yc+Htp;e>T<>J1TpPL7J7C|A0O?#-u0$vQfxTv8f8z8~M+aNd|LrDZq
z5be`eI+!I)Mfme;E{nRk`RDO#ppvZY><`S%Z!;h$MfgL)ohoL(cMlsjhX8jER>^6H1jY@)k1Qk5RzM*(fpiE>LZ#xbnZN79yKcI=
zh&9}Q{*nXSD3Z$|^HTe@lid00RJ0Nvjs+S=DWI1t534G@ms6!E{vsI4$kyxe=1M6?
zKtO;N=P<`!H3w&Xi9tgs^sow{V_c$z5e?lG|333}=x4q-X@D+-OwN88M>q`s!TE1-gC&5N$3#
zuw?_rp#xb`=;`S{fBtL?MZ3yrZTRqDiM%3N_;eXJI5c!7`Wb$r&*_+ySR8V43WbNs
zNk~X&CgMMQ2!<8K0DWN807R;&i|mspB&U0GQP6D$ak6kCu-y<26g1}IlvYEX(zXCO)!br`k0|JDdom~;dd?aj-!3t@&nZ@(J
zoP&si)3o!#<&`)=?Lw*?kmg1~!$ofYgF6gOPfs7`tOT&TlAG?^4*zw8;Dzxv22DcC
zMJ+{m)GmeM;YA#XfXsY+q(BEdplX#tFBEq7VXXAT_P_=bo7V<3g!Jkf;+ArXiYwo9
z9#RTBWW*C8@fZm27$7g7wh>}um*JSd2Ihd2A0r|n2nOiI-MPQ0r$)YgOZ0kwo)&Zw
zP^Y_KLr=7k-{sB2!^7~%$nxZxuf)4sQJ{+;S~tgX0d#lLwE${7_H26A0D?y>k6E|z
zT)hiYt_9h^!N{e?W*ny{hBm0p*f=EeNq%PtE=7^+n`iP6wjcxmFH(r1>7x@$QvCzl
zJBTPLu@L{YzYDdwpxF|(dj#46=-Gt~a!6_8<;(jMUk#$5_?scA11HCT#PZ&r-LnJ;
z>9d8<8D2xH751u#%s}unFW%~k@i~0l>>nF%g}P56tbi75|@;ug9%QA
zQVMwyt@ZxfdB1BP5PYIj1HL8kVInVYK!6et*r2^rrfjlkN{0L32J}ggJArZ@CNROu
zKrRb?eHz%eR0hc&VR?BBd%E5N@`Q8%YA`X-Fk#PQR;?04d}xG+tqrU>K_3ho_y@!g
zx^YZGN@5}wbj<~(w7Nm{!p6o%?%)9dV(YBk);}r=ccR27HYJ5dPEIZZBr(|7(FV=!
zGVsa(QU-z|G~H!D4k)Z?p`WRK6}8`TO^571FK%vP8yOive8?#%Oz51TAwV>jla)mU
zE*1k*%*e)u13&wpJbijOn8fF}GsV-{*_q*YeFZ%Y_=O;O2+e61O59jh@L^i;e#Y1?{;7%=gb+7b+1aps%qz&D7?c4n
zyzqlgRe>;>0*d=hCUT}we}<{4h;U;wVwo;ny+1U|Vt?qEswG1b$Iy5LnJ7c#_>ox*bg{G1>nn%hzAc2nwSkr&y5q(6tZYQ-b5gufUG4IZfDbT8rf0rZ0X?hNIgj#-CVVehS971`LONTY6rL%Co$8{BY>nK+CUI
z(X)OeGPGWiZGL96+gftt<)<$)Wb&P+JYXyHVZh?GXllZ?ezBHL$z+T|y@jp@8T!~J
zS%5U+-EE(HXSYHF+Km0rFA0?2y;Wr~p~MhOj?Vu1$NOWO@xfZ^&)A+D<@e3Xbfn4T
zSDos(82yB47zTK&XN!HfE?XKEk0mL|i`gd07A7|LTLimage/svg+xmlTLS Rigid Motion DemoTLS Rigid Motion Demo1615Tree with moving leavesTree with moving leavesLeaf meshLeaf meshPoints coloured byPoints coloured byscan position
+         y="27.89784"
+         style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:4.23333px;line-height:1;font-family:Arial;-inkscape-font-specification:Arial;stroke-width:0.264583"
+         id="tspan900">scan position
diff --git a/img/example16_thumbnail.png b/img/example16_thumbnail.png
deleted file mode 100644
index bd7c25a98f5cbf49dc0bcc4ae1f2789824efbd3f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 50836
zcmc$F^;cA1*e?bMC?MS-A>G}Gba!`3cc))O8l)K-Y3Xhdq`SMjyYudO-*x|kyVm`I
zrH;&;GyCl4c|Ns66y(H_5b+RUU|^6WB}9~9U|xlSA6|Gk@XEj4?!Vv<1bYchCm0wM
zW9ZMTnRb&^@FK3WsD`t$otd+np`$5`o0}Vhg{_s7v7x;wgPo&!$}t}v3=9d3q{tT)
z_te8BH)oZp`M+x`kiH!3adhF={wXB&1hmX8Lz_ioh%`E|ynS
zHRbLoV~93jFR_1LA7E@Vx!fJo(AG9)!z)zGhU0ZTEEsi474S(u+vutKHb%`YirwfH!w)}
z940HRKA1{=*4A`y-XWWuEVtz3!1bX?rN{&-qRDXB)=UogG>{iFf{={GBW8Lmh3(P?Qu((`##
zp^l98+24PIuQ;5>i%v*5R8n7Y_joaa%jeD%5)#6x>gVanqg`j4YuppLxwE70{s11+
zF{~S%0tP1L+37!&D&rnxM@L7R=4S}2`T3lAMs#wr)?rdw8sYNt@{b=sM)PFxJ32Z}
zudlnix^gv^A0NH1kCz5AzXZ@UM}S9v^B*r7Rb^Gx-eLo*cCB>-#TU}gpMR?B`_y!j
ztnKaf1*4L2x$I-~L=qZ5-Cq&#x&Lz78D_R!h?%8ykTq!<(&KvCEe#v2Nl1<^Tp06&P-S{jhD44*gFW2IEB}I=I}9EmL6(-moV#MOQ)EoB~rBDJTNL=VM9VTwj~5{{7CWGE+4oplzM!DkcVZ
zFjMv-Zli*+wd~S%t-L%gG*)M)pFpoI2A)<(4?iCt4y)OR>+5Sw$JVYe>{tlIB6|Dq
za4?A2SED%K-qZ8?FeE#h?A5DR(1%!QDox~bsR$kH_0iDK=*|~q%w6;4(llx;<3*Db6R{l}94xt!bCsN&
zoylowixw{eOLhFE2mG?JcVqS&mbpuJ%mz*hmM~y$#CeRd2}G{P&~q4CJar2$4!Baa
z*_*OB;77Pnc*shC_2vm7*_kXiyAy54Qc#2CGc^Jr*dp
zH}%K%_q1+k89vvVclbUijk!_j&o^x^W7QTDi1CM&d3SWJ_ALSv
zQWyQ+SZqcHF=!iEdM%!VNz4JAot;VnZQXYv)DilnEJ!FHF%wcdrydc+$gyrMST~uaNL%$qD0yun2p^w6pB4gP3C)k>kfZ%X^;$2;vCxMQXG&kAwXaLS&Zja@OH)W!7quV;;+i*t1_Q|0sEnn0)7QEvF}
z^yY@q;ap!!3-4bL3beP>UGh`)3tq{8?p^xk<2JtK)1_`ufBM9Tk(XOV#ud}Mo5sa%
zqhsljA1o#!c9OH!80cS^@ta&MyJD7n*>dVnmIa<{N`ipppUMWS>%r%IDMSnp50C8?
z8*6JY^~}b8i>j3AEs^RA3Be2{vm4Kr8#X^(FUUYxa%Typ935Fe>-7#i*(jmHECkJZ
ztG~|h-%rGn6W4xTx9?;va4-o@pZ>J+`Tx*2|9IOLy;VBUJ(8GAjI=d)Dlav(vAg^2
zxZHNBkv)aO=C#30sqVMrZq^aLe`RgYo*Qnw!-*bbaZs?WG0oHn#T+&?FnJ~QhhB%mR;HJ%T@G=
zMh@}*bmC`TwaRSQi37R3CNGbgii+EUe&QRYnS*>=V>FmYZ~}$Cy%87~IOAjDR@GCs>9P9#ofMxd
zZELSuvXJ6Dla98www}ipCg^qpx`}xf;e@C1%@7m%uT5~>C=azUrxm8qDbd47m7k`XK
z^DC{N+fY9*)@`coG_LziTr>U_QC)ooZK9;4M7o)kDk_FZ5H~`ML8snc`HDJJ=?u*m
zBG&mzdF4xY0-+yl@FLoURCI-g*5C5=i=5K%Upm#_##~1H1P?tmEqJP=wZHzUhEXE=
z{{4H`I3gnABw^t1MT*kF`p5_84+3xQQBRMpOkGV*ij}=R95SALLT4UkGUJbzn)Ka5
zB5A!Qe*^`sNKBki$8Sge_I=C)rd|_MMXkOdysdaf|2|BX{y3%YhC7V
zQ&~KO-SB+S$RZau-fBl8j$PP#vEBhEBCjb9fC=5YhMPZ9=v4m&1ULYMl%Th~6HXy1
zElrzX#)Koq7xi03?8P~;3BPc|OeB5wi^-)N;soogViR>BE+lvR%3~X0pmGLR*y|{*
zGoGXMdfp1UMcM3@31la506Y`Q)o;ie=ko-B^=m#Y(T$_DhngnQ&Tty|d>b2|m9huW
zj8Z_^c1GUE@UP`PnO`Dbt9We)&IV1A9_%6v``i(B6HL_nwL87IZDA?bxeA4cLJjFe
z23Ui`*@~`nomOw$ckhA_Jt^JtwHq-lJya*v3S17R>1zklz#JM#WXzY0{mi*on#^v6
zhK_C=y?t~v)ZnyJUipWOSxu29z9U>lu8sY_|2m80(Tj^b(J#A#u%v&jgwM`u02Bg`
zfY7ipkhCZlzi&BHq|PYtd}|z*mJi@j5`aBOD|qR=Zl#@b%b;**B&hmz2m9wjRuS}<
zVj5psA4i^kk6$Xn@Lf$R*Eck1=7hjs?2Is0v}Mr|`#m~TJR=3P|3#PQQ$gVVmq@VN11RAa8DFBbgi{>I?80=f$KR6P?
z!oph5mVf^e0H^CFa|s}z`)0Iw=#ngGBJ(v?LHYUSfpwaS7+bb#d#^>oL=FiJWjXQi
z5(SW1IZr0bVWYcPvno%cp`$~%_2t=1tIk$;y_=kfh$tN2&FP>W3fu>1Ov?@@3zaP<
z3sCdrGivJtdItwhKsUbJpL+l9-8($CZ$j}js$5>zbd++bB)q&$oqM;XrKR2g!0g)!
zE5SrO*x2Uj+#aHqmNbQhg{k~r*NrZ!g-U@t>0ZOlspSBbKIM(`
zdp7&y
z-Ql=0Nlf4C>$%uuzluQVP}xlO#2$cNY!>4`pnxHgkXLQC0TU1lQ#aAfdi3$}@!+T^
zN(u^CadGj-$43?O8o&_|ju-xyNsj1_i9;#nV$1(a)_AN8-OtMTa$UZjH^)N-irEr?
zIAz_hZ*1&M7NP?<-InDD`Yi#M{p!#DMVh5X7vuBIKDS2PnHsMfTOODFPQbaOhb92b
zZUuvFVU{MBMfv->fXiA3EO;`oN!Kg(E-qc5jsE!YRxFZ0(%t`na}lPc_>#p
z(YAmvjn~br;|Bt#%C?$jldBB`d!x5PN
zPbTCADM(2>NNvFQ=eys{27Nw3F@X8@>g=Q=f536r|l0e`;!f8j$qLQ00Hm1
zJe)(v#>Ng47bfih_0pavn<61CO~%3!W1j8-2ln0H>b9OA2&Xp{hrwO_Vy0vs)7KJzL>WvGc-2-H(jC);j|+{KtQ;C
zc$mnSCk6<(-`WWf95C_>K(PSUeDU`U%4wP3(|g&8K@SeQ<-y;gVc@~%1AfYPv*>ht
zf1jXv0&Y#C+1;VgwDo?UmXwSPT4ec0OHGNGv}&g-FVEOkR#sSa8ZiE`vFL42*Z8u@
zY=)zmU%>eP{^ng0hYjA&NJhTr)jr?DVb$ax)q&qgl=A7DV3K_XY#57PYxU$r-z=r9
z#&U|r_vOj$(vu$)O%7;+Fa*4=;jr(qMggw-qgrG(oRN_+GNbP|6o4WivC$nd;6s!f
zgTB>z31k3x5?;4sI#)Uh3eii?mgdur_oSpT@$nRdJkB4%{oT#9JyXaF+~w5Q*Gou9
z1b6oIga!8&D(Aobwc_`pDhJ6_;dhG
z%hhl59S2*I8Rx_KAnQodMf3fB(Qk`nfTF*odmVEF;QmovU45?BCWSi+T%h^o`C)qo
z`hlXjets`Trr;Ln`-6kMZ?YbUSI{2lBlMqr&)|T;lmsO?Z=dzAm`y}oNSDLh(g4;DWv^w
z1dwD*ax%2nIX*vnXx7=LRokuTvB}1QF%=Tr`;OR~Bss4STy1bmK9%beXq4kkZg!~D
z+zK$~V5dR`Qu#cTVD5mBF=WARH653z?>qO{2!Pf&*s>P~K&`M?Zf<~*rrg%Vtgk_#
zV2NA2ZjvW_pYP0HnT(|KS6a`pyxIh%z)CDHEgf54&Qz#clz@SS6&h@ssnO_M2*cue
zxyv#T$Eg6r;&p9}irP0koB&!tMO9Vot2c1LW8W}P0Y4P>IIQUDTv*TslTk#39IO?%
zYct<8u!~SpQMV8=z)Cotu6}Wv|Mlr>rvX#ao2%?70UEGxSu*rRa?D54(J(PpEn9A4
zzM_$NZBC}yisfd$?(*4}%B0%sX>b1mC2o)lj&GwvJkGlc#gSmFg#gsGxwRFKM-@rL
zZ>iWlF`@i?k@1qG|H7}pce@&}etgV;{#k};r9?*_bbRPVuq*)Xs{}NnufIPARFNK#
z#mEH(S4ccZ^4ChjUd#@c^Yxlc9}pli~aqZ)F~YS{WCmCPZV(-Rg>XA
zxK}1y{qc^MyNa(i>sEZLdRalAafA)EdQ%!KVQKjXhQ;+z0~J-X-aZQkY$7aFR7p8G
zENCsA^$<&!+~}P*pW*KrK1wi1=50!T$4I}`2wmTK$>tg974_)9&9zP-!<_8*3c$N^
z&UgUD17WwqsxligT5k5RUT%hf^1$tK-)if*7{=Dy|G=MLwj*cn~#N~o%yX&m}(xi*4i;0HzU!KKw24JX3BgE+F
zZ-fjCGDUUU+uOHzc2-`@z>KeNYH~W?l!R$?JqnGALII-*)?j-OqM@mIcDoU^GV0Z&
zEuqI3Q-LyZLwH*@9ZOmB?i>9{d7Lf|`ilt5b%K^JZ;xj8@j+T3Y3Rq}GQu2H^J^cd
zSkNWL|CFXzM#;%pr{U@9$^nCnj10uRM6GMFA3uLq`n~vqiQN5ocLB%{vR%s+mf!Oo
zB|!bu72$IEv=u%xwVx;{^EEux)UaTHg7i`#V`!KqnjRzYUR!&?$Yy%a8Ngsvpl=%8
zy?Onb%l(u@sKON|qTA?B`uxT<1fH9lTSF7_yr2!f$)vJ8v&A@hcO>BeXmlQzW8x03
zt_T2iE%!NkJqzCKzA)6J~4T?#ELV^sa4(y-UaF8j6f@~F7H{1=c&e}Vc|%$Fks
zqFhI*Zj(EJ)zE2M=!Th94x_@4wd`K)mS!J!E}-eG^~;BV%K-D1rL|6Em~W;9j7IbS^FFHahPa
zmF~<7gjx*%;-D!a0v-U(@$vC^jg`6+1T2?y1Rnb)*j1#Ym7Z6Y(8oM2J_fYWFb;k2
z`#?s`1y^<49>fK;E+rKM27hQ>U7d-!dCEXzQ_}#TX`-EM!6YOknL0igVDdo+AZgxn
z2>9r*va+%}*7|F^RWPldpP#XwsBS8w!db~XZj*6XqojxDKYHv4%iqaP_eyM3D-Fo}
z${nA*4K8XK`}MLn-0_OU(Z^|iH6pojrjrU9di
zeFxN1WPM{}XhcK=5C{-R2zg!OfUV$^-i8uIUnm3i7+rs{UW-<0YAWdN!6_*zfY(6f
z?^1j!5fK21D8PKeNRy)k6CN8MA0G_vUqBU3xd6t1M3d_gFd5D+F3@RdX+5?f=KYvd
zP+$PPfs+$P4h{~b8cWr%#xfj1-)0yVKo*n^ni6qXktO811sdqMjRs|Zb!-qz$=plf
z+N6@9-~}aW*=7?Y$cI;v%OlzvTb&>!2QTWkupk;}!9fLj(9qB_#uCXtefkcjJ1MD%
zh{(r}9}NT&5)*sCn1uiE0l=4d@co9<`K19^qUUiyA>{c1FdDf1cQPYGZb$Q?a&pKK
z_?+E+eIa1Z*4nKM-(Bng6huiwg9wPuK`kS=5J1H1K-M%dA-A=)#p+>YWu2>cAWLM_
z&jVsl*XJ{U1hMVx?4Z)xF$)a90mb@lL}_y3U`0mvoKv|R{sR@3HFLlX904%7Cn_W9+33Dyu50?+SxnF%}>0Q#5rwikc>cZ5>a^%>S{B*=o4eN5d8
z&Hu!N8Ez=_yEApoA&#aH=Fs1>=<5ilil7o_n
z;-DKzAP#z>q3Vq^+s?hjJrN5UwtXinPTNFVw1v#h(rGE(!D@uAT&a45Y^
z%~|}Gz8EU*m%8DS19Q`6i0FtftE@{xk1nkkX*iPCfe^mAYRro*S+<__CjqH0}*`HfA6jU1#)n5B4cDckz*@UV%3}fsoUYGH`X{2T*NwhHI>mb
zYCwvI$J0WVJk0i0kN6VnLF-wh-lt~)jU3VOf_jkAhvNG~pf7N8$WENeFt+5RBqcww
zvBiOw^E&TuGz8LT9K{cpWR|%wKY!j!7PWXP%ofD7IM^!^9Y&ak=e&AbQrzw8){zL2Ei8A5K>t#iu!m^>z`@TD)2IeX!BjMKoFthXXP>leL7y5*WTYy!dZX$p$xpHYdfD|aU`T9JAS6LQry7BE!
zm%UDyEhni!{|9I(3)o*G;^NwyynwU%++St^)rO0UYZQ!WqX$<;o%&y3c&z~o6qF=z
z@G3RTjQ{$-YCh}6_qSL%%odNTH0nYmB_-wZd*%bzk=Ja(RVbTA*2t{OPtms3rtmRb2Ol}jso`aKfN>pKPfM|v>&u(4x*Zr`wWy`+5HNhi29
zjL&7C`S$JG-a!bfDKKF`w`O`}vfdd&YNQ26MoKCS6d9Ap+p|i*SofBi>To{5U3BvU
ztWmF0s3iJXE|m&EwP>K!YJ#Rn11z8IToO2B0;N-4kR15mEC3Z4%V;<_RG@h!0((YU
zMC1oRm3=_Eld{o|BI55H8&lk$EF=TCFTYr$LKqLsw$|2GDAOX%d!h%BKL>PQ7US*@
zn&k%Ho%bgtfx2sQcfLhR>IiHvDAxo}wikd3Q{e5PVPKF0I>vtT59%ZCjb#S~2h(X*
zioAaFCKq@`ELPKW4c>Q^;kc|~Fc;|`1)nZsVW5;%v(f|%hKms>$pnh-cC8OUA?vHF
zBmjn=-|b`!T<%TeTFsQcPP(}(kTL7^oFf&N=DSX#OR(Q4a#Ugn4wg`A_vq8sl}42J
z*0JR8N_riBv=F8_|KFz!Jl0S-H<5hBK;O+yIK3gAg%Ddibzd_YexpEVH|
z*#ytchzVyC2s48Tqd_K{
zQns(t1MYWK!VB@ul#0J8i7}0{Dkk~-eEG#)hgMXwc1o;i>`uaz@_;N5xWO|J9?czT|@qo1G#e+-2*%s_5MkxHTP
zzn@4$WnfQQFsLW=_DY1c;8;!;d;zZlx=sjk42EEngFS=*0JjrSi=KRjfDevvq-{Ww0*NTHtwZUDT@nO|qKF#XsR
z5b#D%Pp?ZYrQ`#a<%zNMS*|$Dqy5ffe2<(EEqyr89=iiSFK(JRWjPDIRjX)Z%wGz<
z(MC0mreVgYjo$h9*Q{oOQ
z_iI7K?m!3S0ssRLLsEb~MMOm_%twe|Vq#;@uCE!YA^~#yNJJC~`VR`l`s9m=I`Zf=&4W!H5E8u;ne6@9{vlol}P0RIQ|@&lC9#SrJp
zXrqf2sO)~AP=>l_CHBNSCAuzGSF?px$1Fb#rQXPeQbenpl6p~l++Bv{R21#P#4@}H
zi7BGRI3@g7Ldg928R2i{2Jha-y0EUK1nHaZcplfGUS}H_nKbo}yvpKNob&Go$A2!`
zKQQP@d^#APVkD%@C)l_gM2Gp&{PCxoAaUel1&Xn6-$1yV*8u|Q%T)IxkLQBocKB`l
zVRg~Ke8#d%YA5R%1!fy#fsjLnqrLs=KNLYIZy@0Jj6)H)^#^??#f{SmFo0U@H%VA2
zfE(eM52r$#KY+-U4jW=X0-mk5KyUGc@DPTD_Uk>g@qyJ0%hd&S<5C??$Lw*r|NtcBuq9+%LkhntD4ukT=h12F`o%)yoOvT6s=nc2RL!kC+z
zi$xL1y1R3UWupSUoe0<`7tT;Rl+^
zuh}-qj;KGF7L(`99F)7ch`h{m^)w`
zy))Py%^FPMjAGDjJZ*nRY+z?M0+g+R_JDU#CEP%34bP&6nfS!SE~I7f7|W
zwa!Oc=T-I~`vOuQ9ZAf_bY|88)WP96%>T{kc|`y{5(1pa=wHA70@)9wsA`j<6g69D
z(7A`XYrpB+LkRAz2>U85B2)vCt6?0~=+<-&ah-e#@mefo$%Y(HP81#yx-uS9`Oc}y
zyBNYUOktP8ND+pwy5@)Bu!%VvTdv+VVOf8^vL?ME4$m~rKqgOb723ZuS$yPU!orNk
zi2eJsZ(#4z5rrY&)L*XN`4cQmon?C0^4A{hCd>oB-j>vW_!>;LX*jJ*-@ofg=13Wc
z_m{_tZnccM4a%U1Hv_TtKFZ6>zv>(slGXD*6TL9wB_%yOJA>-0Krh1%XeR-ReKZjB
zlcMC)`81)7+8;E5{`ZW{BtWT;1Nz$C)r`JqXEn1TAa!)ZX=!Qn01nI$UQHHjvf{Fs
z1OrSN0%$cbHIxC}w2HO^vg~+;v3NygB^vmApb^J{+R@wu8eqa?nZAB;Nr`CLj5IVV
z^Rqwzq$99Ws7nCMfr0^GHdX?462fK?^A-+H%Jz6FZ3Ma}fRTYJ1UAN22xa;&;AMqv
zfO}9DdvCIU
zq-w{8mrKH^AMS^gmCkyu4tW^E;3joIGxV12K1ruu;lBzY&}*8}G26!%?Clt16%pB7
zFT6M(@ayi)&>z76&6VR
z&#Np>Lr5)&4}n@33RwjOyN%Myaq;3jN!yB)b<1#ddd^u9zclEtcDD|2UY1?;3
zhQ)MWXqg{YyjtxztLh}=l6Akq!m*|k|4Jc}VSFs!HdgMWtaWwJTM_YYj14}7g?=E~
z_Y94;HAB9;OPY`K*#)N6?_L>-g*`^Itsxc3KGJTdv%Ti0h;#z0pEzlQB9zt8#w&?l
zAqBuBfkpekF@5QNv;VC|8aqZ3U~K~tcph4QFKoN6rUYW&tSP&`9WO>@9}KAm24~Z)
zhAC_**@=D^hc-Q4XCB=^xRCSI3q2OagfVdeaVG>y!9ypGg)MuTjBf3pcQB9QUOy`4
zg^HhEkotD{x);Z@3Zuo*{}d6Gv#-j{TDQzrhB9h5w=Q?(=g0S%@W+11&zu!&m&
zhL5ANP4pK`@SIyrydWL9ASH_I#JBO1Ttu{71!zDP=6AK{hv~+wx%-&?snD54$}G?
zpjy$v)MEC^b~v}s^Ua5Ue)L3c!iI>kg0MxToj@m~jVGtY@-`+dA+Vx1xFzfjoHqXS
zV|~&sy1Cu`)6eQZ@?|LLUEOQ<3x~@mz;->B0yCVEqf(-ftA~4J;vCb9%Tz9fj&?4t
z4L7{OJr&a5`F`2k_UW^+2?=&&mm+&#$eI@MW5prCboM_yTBUWgAtxlZv`9CXs46LZ
zSRpwv4sEm2PoL)5$fx?2Ahl0TtAv|jVRiU>2!&jY+-vJch(eCV7Pl4RE)zQGyEft)
zk6kC5J4w?vG`&NVpcokPb%=qP~etvdF
z?a+~SK9ai1XI?LX#XXyMoH@T-7p*g~|7Qe)!*nr^8ly{AI80x9w(Gt7s*IxHrwc)d
z*mn1OJ~<2`E~m3gSYN_NB;Fm}w6=27d&}vk$Nak*)mG#M?}>6XY+`k`wC>#Zc@4~g
zcY*FIH{D$eNHFbelldZ|e%oODR1MPyv|_UUuzFO-T4<y~1LmFj@pcr-XEHw|rrm2byZ^MOHx}1$#u@c~TYhs%zu!0gGmQZA
zcWxrk^2$=f`(b3DpW-Ds-q7liHkhN$Rm7a?#nfiu@M@6YUb*37rEHQ9QMB-fT4mx{
zWgN2B*UOpW_RHewkSLSS%;e`kcj{){8!MwWK1Az7iXRwd|Fppf75SD9a$4^&-^H;v
z$`_0kB#1t}x_VPlQAe>^)`Evzwj?cQhAfw^I_TlZQt42%ZRopnyS7cB+m?}ykNk1*
z50P3eoZN}Pm!VSwXC6XS{%rVfAAiI)y;qx7o6&7-x>yyb*W-QHuu9-;JmACIz`KFE
z>hctR!wp0hs(1yvc_wWyY%4lWZObo&$x8Srsf8gZ*R!KMuJ0FSN^)$oinufUG-Nv*
zi^dH9!{?Y&XGCvEbgEBHmJ|vQN*2HitV*P2G9k}XR8f$)vJ%5HH8(NbIW+KX@fr54
z9n$IKvaCfW3Ls>p!OI5Iobmv~}si4USUl3OgWNetaYTo-BAXg2kYRw={OAMo4q%cltF_AQjl
zU|+np`BM)|8B8lY?k&xbUgn(B7rmino!ssh!z!5QI^s%^`8+i@<0FoeQ;_+qJ|NGq
ztl~i~CKe*AF!3wpnIMk$D^!|%x2f2h&ypfb(BNy9`Q;p!Xpt=`4RT>YdorrFy!Hn2
zDoM@jDPV{ol7Beo%gRTu?)N^Y_M`esTSFQqof;ZH+Pjm}oH!l5CqBVA?_7S{aoOD2
zj7?AK-bV=IawErLMsy+mWDyXE1B2Q`wLALHXc%XQrW6ej*qPuE3S0^Nov
zA7$5H8H)Go{{3mW#320H%ew?G+Mq9Mf*X>foKh+7jyrl$F#R9ArSaD}FSmoSvC3YQ
zqW@$Zmr_^<_Fi9fb*fDjJ9*7*_{gCG0#D1SdD%@y+dKhpWu3zDmJE0HgHuO?Q~VO|T=
zJTlGVz@JQ`WwgEi3Pw+m`pMd17LM=&hlpKnkAd+}Bryl-%Mom|*6q5=zlIJ0?cDW(
zVQbNb03cEP*$`EyZyxlxUpFtbj8~xDm#dN2>D#P8^B;8zrjE;cs`C`J
z;yVijWj%cHqivUvW!E46aNp}6yt4M#nqT`26_sx54I4t|ae)=N%L4mrl4_f;qikW<
zZg|rHIdTZ~)3kR_)NbkENQUD(m(Qt?;)O2_^U8nGB(AqXUtQ^+klz<^vaSoQ9P^++*
zrx_-0X*8QyAMrDvn{Al1Mw5x?uBmV+Co_|0L*n7g1&`K6D@DzfzvbZVdx5m!ab~B`
zDVy>Nv%hX-S%M}*wO{aI>dUtYtR4U=5uQf!Vc;aAqznS0f_kqW)s`t69>{Xw)2f$l
zE;cyT9W`%3^G6qvQ7=CbL4-M_GrChi?g9qMzT=W>o3%txmC1+Ittb@AkbeRbh^IBVUpBmTd{7->F57~1woqyUz!Y)i>{&B|?MkadPorLGG
zH3$50Je!2o@u7csdtT|tU9t6XZcm+YpJ=KD^zkmi;?FQ%ST>(nIo@QfT4I@AFm6>8
zU%VE6nee|aW6xVHLzQVgdi=(li|*Q*;6_~6@e>JucRcq!pj??=H`;=n!XoasYeAZ|
z*0?bG-e<6OK<=d%Jc-zy$VZWrlcUpXz9pW@1}BFWKR0prJ+Q?8sXvRn#yPT(U@aY{
zE^iki5g3duaUScy{j3Z#;ke9bnI~izNF;83mxk0V&G_HhKODZ-vigt0%_*@T63%4C
zpQYdCL8fpeEjCR|l&d6}B5f1M!ks+{r(HQr^3BJd?}E+>Rfnp@CiK%r4l=Ytn%aZ5
z1LiSli!}F6;cq&Ydx&PriynS1sJr~_p7weOF!q!t
z0B$@w1rpKJwpED*-xh(u0AEnbm5M*uY^^I40OLYdr#v5d>Q=)mS>iwGLG&;5u9o`f
zqPqW`Ww%X-)YbHaZcRY`b*d)k8J?{B$Jczn-F4bEzHkqQ5Az`f46|VAHxYh*u>rsj
zTwYB|V1$lC-pU>E{rrk4zWCG<3~`Eak}iWQFy25}(^v{Af8ijd7l6g@IX_uj-8~+B
z^WqDCqUF|O`B(i~zf7x!COJXcs~r(*Z}E^IQLQzHwO}1JBSTfjQxfMP9I3lF@YmNz~%;#|M$Q>1&;06)6I%@
z9H5!G>ScOd+}wstINz3=xr@}xYJ02f*MvL%{R5HmE})A7Y24v(mN|@1EIS$`@jy}z
z1hYu^_)>w{>G<_{_H%KlQr{JeFU<*_tXB}WRCJDX0^c`pc|CSHkOcbAXGF4n`T0EQ
z3?0`j)kv{cAvCA$j21$HKfu@Xf-9J?*1Zy%EAM61Om}DLTDY|?pBlSa9|l&B>Ye&g
z0`<$2-1Dt{D8}YCh?r#@?er60<@KErqevUtX3-sS=|{deYlw(|RsKxrMnL=W&LIV)
z(q&+PkpBg82i(NZ3=9nC;LJonsKQMU#`*{tG*njI!DTY=2j9C72q}O~(?ivN1VltM
zaGa`dU?3L!$^cOKV1EH2N`HGeO?$loi&2lxAFNy-hzT(Ok0=J{Q_#c_$a#qWL?MPA
z+lmFJ&cfvK!MkNM9F&w|fDj`MWL~Ii0JS$f)jSlX1*E~nBUMa15l0oPTF1=z_UjK**1{3VyGCRPy~d^HkvWw
z!X&vE9W|QJQMeVj}ESRomMtt
zQgSVCaARQK;n--d!%Wy-{KsV=QQFx_TTT|p@5)#i-8tUeuhMxViFp@Gz|qCU_e
zsx7CaL`0w-kU#LZQ=;q^YGuX3aXvvH5U67T9&Jo|y6rG<#t2@S024g7_TfZ@7<5k3
zGAsU}HuZmL?OL2X6F>YHy%Dcng@|wQcus8HdtVz#ZoYvGe>>8&T#q0kWUa0%^NPe)
z;$eEomn3g?Ckhx#{%_Db)k?jcbGA)m8C@GWHa0y_T|spnIkkgh`g`({)tXKdqO07s
z$Yn4~)Q`%m^4yKbpdnLYo$->_0@1v7L&R*X;s7fUtT&R
z6L9?nC#p0XovHuIBDF<;1nA50!NGeWu!F*KO-)Q-%3Y7Npqe;nP_xh^V@6#aC&+_S
zGBQSitzryHbvy?FSY%vK55Z=kmd$E&^r%Cha6aTAk4n%dkxQC0=J&33V|6=~?6;$5JmSCOq`Z!r9h#$Hemsy6#0pOu
zzGJPp^xlz7B`h+ireD9!3&^3&LxlqpaUe}f%P1l{n0PP&+24WKNqcXz;sOM1sLY7R
z{%5uVWX8_VW$-`QfEf1+Na}$!?K^OQ12~z3gwu}bPH}0esiC=Z3kxZJGkbJRVX-kW
z5;8I-y}v$n^{bZYr2*$1daeZ=_q@Aau)EvK&%ohzr2~-(XciS*qF*OJAYd!Fo_3G(
zTmbO*I7HXvx7G|tT|16^o-ePqFVjSv;;Q&;CWwmQ1d}GT(WIp5t94xT7coYj<=s&4
zOfgjV>y1op0=3yEh^D_s&2$eBL}H>alKx{PEECeNlsBm`Jf#`eqEKZ0!{HQ*Fyy-G3#uX
zfJFKUoag$)$43A%bs*2wx84;-O+(YTc40Zc5=5lamL?z|0P-tYgWljd=7OKi?d?kM
zJ4fI9JxYP6OJ&fzJAsz#`|pS@0`Dqku`WHHS;kzquxI60#xA8k$To`mu5#mgEqUe-
z@TigdNh)4`3%hi2^k+0>h;jJ1ac5yb_i&uW)HYgO-OaB5$ky^RJ`FRu^fs_3yAXSs
zuqXz{>lMB>{-3Fm@8(II-&P~BL7yKegzR4O6c?AAdNKJUI}vweHKMDzs=d7~jgXe;
zlMYhB0x_Aqf`VYsn>2G?K;9Ini_okS@XDmc#Na@9l7n8W`tSUFwf#CcT<~gw?2mQ{
z7);2np~G}`b;YY3$tt^H^!pU~
zcNlp|>GP{~;xcFz&*GI%k!A>A9Q^BC4<%D|sH0j?w*p4rJJ0Vw#PcJ}
zvaPfbgXrlv2Z12B745+iY!C;VyxE-af!mi>ZoyM
zJ?9M%?q-Ivf%oj|nC+RGkN+Ih(BU{pB7wXf;1VMtd;LD1Hvk;ejZr3P_`Mh!gvWfTOh#
z5CR9$&vjr1h)=N1*V+t#<8SU@wBWFP`^b|P2~rElpw=2)ie?2UFhSyETIFa6ZK9|5
zbwXv>`<(O4=^yS4(O-$)?3xUtOOwhEsPjp^U!F)Wry>qU(YX6%t}5huX-_Z_m3iTd
zBW~@`nV@p?NiMZWxMriz{oR~Fc};goGNot0UYoJwp(r$tF+X%L-mI?etd_@~3LIAv
zGe@`~&ziOIV->Z*Wbt8r!lL9n)Vnec_o>UZK1ThH<+<;(Px;X0?`{;`-6$!TXcVye
z%&_e!1&7M7wG*Y_oVqQd>m2u#{xU@N!-qXK#a6ePP5
z$%tIcP5y5dKr9^Q@5)LBcm`=8xHaDF;RNjc-MK2tAQa+lkhKM&C^)7oW)LsecE)%~
z10E(gq&_>Ro91Q&K$W|DeHS@D$XfybNKY>>BocV@(0r}ivPTfMzIQY*&%yC0pr)e%
z59%EWIA8!m2Iphq#L%%GY?x1<)$=q9bGJo{co!rG6T+72R?;eV*
zP||=0X}U59oB6=&Q=nG%Q?#M_Rt2k#H7xn+zrq_CGM#2!Za?w_RdlTAG*?`0abD~3
zLy0<;lGh6bR;>Hg7JttjE`S(?^$O{=WTfwoYNm
z_D9xU1&1AP>d&gYd|~(`vRkNQL>0MlXK>i|UnWS$h8D*6WE9zIt+#7d!#gDn<6`g0
za0Jui7)PymF7!SMR-~4h2-wuzPnIL*e9uBY>r
zGh@q^ozH99V^}hc2YE$QR22+N2a?c7Ar%E7SlFjf5R1gmqMM^%@+!+A+v{ESI1gt%
zULmIR8UN+X^p^atSFXNUa8MgPD_RgtMQX|1aJS4^y!?A;gVB~hjpEA@Q@
zPm5x#%7OM=m-8n96o}&F0VcDpR#pUq9xXXT5wIA3;724tdo4~oQsK;wpTo75j
z?VynOiR;6QA<|7R_Fd4efFQO$c{~ZM$#uOgGV+mY63#2WdgKRX$LtB=ci6r97tQq{
zeB-ZX?~gq>p3O0L7H=u|UNJt$k-R7NjObTwqDs~j_I!p>TdH`A8L_5M9C7w7ym>63
zU_p84Jb&3#ND(=fF-df};ERaXKR)N9mT*BYyuCX}vG+6oXMLuyuBetTmU2AwHM-pA
zl->?R?aneDl$fGBo`{Eg2xK-gvGCq7L
zetUJj#wGOTp@1x&B&Bc_Ln=yQ)vdT8p(>3PlA4LSQs;rf-h^Cvu1UG2=yp&*i044@
zlRh=Gv1m%xQ5P=TPdhZvs@Ts37JXRY`;#^;JZFs}S7{QVGzaU}f11|bKI~ufBFL#}
z1I=xHgEjTJ;~$wt;YAHZHg<`y({CJDYNk1=jQ7l@+bUl#RM$VITb;rATxJuCe{B;T
zixLRX-ZX}PyFm>^ns(1K@yX#2XVZ;l))SM4GSQ5?u9u!FI?jCymBa70
zx)JDE4fz*b?Rq*-oYBLPw&)}O_kiwNnnStPn|3eojl{r+!L_w`-|(iNS+_Sss#Q3D7g)B%?DjZh=__7lkE}LzAW&(~){j|G_HQ%~d=OJO
z>y?_{2f`YmI&1K&%^0z}n36;NIyjFbx*s3;I`J`>{5`@Y!!0^LEc>of{FEVVUk#DV
z>ua;~`!G<>wHH%0=ei;$+$E_|E7^7LsKZWVf{P);Xr|iZg^{Y#Ijc;mq{AM*`-h5q
z;zEHBF~Lx=>47BQcZYA9PD5(zr*7OJ!M|$hZASwgin7Pytc+8*r^!Q}-V{HNXai3)
z3f3Nj&eZ!4b_F;8vDB^nlU#W`;k@2E2%clUb~z*i*t&Mw#-yHgcCir>jG6WCPze4@
zR@twt_N+}$CqWyBs8C<SBzwaP3?};iJ&nP9VlA?@Wzou`qdDYV?xO((Jp^_DW)4z-0GQ(OR?V
zXEnaEWJ+xNwHN1v+L-WOVt&OnC9MQMMMU&PPb@Q4Sk3!{3O66_z}&8IJY~ecy&fAH
zFZ)tzPhQOV`fi`(pB_&Nl0%OjqFL#p!t9!248+hF%2ITT2(&Exq&~`z4g_->%hW@>6k;QJm%$K
z`K#z{seeVDxQE1pBrhbDe4142e)-D{f?{AXFgYp`BM!HW%s%#*{CRve6Fkw7iq6a=
z`RP}EZB15SkZp6+oIY1z^o0~IW7~jgYCn6JZ)A)M@_f0zGk#M54h^EMGfaP?ooE4~
zXslF$hW>EB7Z!Tqfx-RI1r?5Zr+%5^pT?Fi#H_>okjcvrY#H4}l+P)rm1>>eKTnd7?IfI^FUd1!QoYNfaeu8RHcZdI&$^HhVVd-fp=BoY$oK!ybd6D&
zf6+SIwr$(SWZTv>*|u%hRFln#la0x)$+o+{|Gn$3^{zhjrT3hD_OqY;Y~(6RRvGgb
zbuswdc3V;eeip^4FA=J>8TegNDRl#I{MCH>@wEw=`IP$7{a3Xxxyg9avOkGX>CN?J
zaVGdU^L^#7qqpX)eS(1)T5ys3SUn8NAZph7xil_qaX3
zJLkM(%dd>X?^$k{6OxZw1@gmjXWvd2^i{_6%$OvCdi
zDg&3bEwxk`u5rb(?~gs5$JIcqy=vn^rfwu|y3`dNbO%7%ChqzmyDo(y1KfV4i3?b&S3flkDpacEbmA(RT6i
z$Pt`_gf+Do7VV~YAEPyhIr<4EA9fAS6l8h+)Wq0X);Nn);6lY_pEg4Dw#!QVyg!H3hG6~5oN3JW0
znMjzEnsFVX3fv?|QmI;-RYJv-;nCXmoAGK&yB1`ZQe-{KQ!d6V69Z6~%C2aR{_kZ#
z+@PIP=DBf|ct*s5a(?@3AbFC~nJ25-DQM2=y6
z8&=&&ZB&Znkfadc2((Vj)Ps3Jbc=>pb@6=TuObH^(aJ1kQFM!DbWxF*vfAJg3}6YT
zz^Dot?1@2G{M3zQgveZ)R409&x)vSp76H^tg8knI%zHhIk7IVvl!pzeLhlW1gMwM*=R#kYM|6NLGu#QL|?UCO$%kPWUzTFQ|=kA9!o-!~2m6Pc??Mjs=
zj7|y>L+lq4S68PvnWB;@dD`c?A%r~l2xH@w#c^ImnVK{iPnpB}@fss@Rtgm$jAUPR
zFtq(1v(Otr3TYMtggX>RM`|}??}U8F0#1%U_}0dYR{BR2^zL9%D(Tlo`yDX9@%ZrNY-uY<%i}2Z#VBKJ
zRN1v(-P1c;xU(G3@E+vn&YUp|DAo5R#PYoT3ioS)A+1=ck5RUSGwL|f-FiKfCs@%8
z!sX_&_b2KgN&IRRzpSJz
z#v~#04`~dPvqU7JJtXFM81u1kw
zOX${S=Sn6Bu#CMQsUgavu1}@BFC@Tww#fnDydIIGs0fa;2m_-i@l;Om6i0<#ZUru-
zxIFPvks2`gPwEt3BmZ92=g4CZ!H0eJ|Jazoz&Zj+*4t3qEdLW%2+noUNVSe{;&Sf?
znVD1mXeK<>BTw&Z80CL_8`esR+De-!dtEl7g)!$t?=d+wO-$7ij`JV1_WjHrKGi_ET
ztoli%8$y;U!GfLZs%&t49Q~Pe)KaDp@i%GZgIZrotiPsxF4SHBPKE-wfS(-bpobh<
zc;LUm#~u#-85$o;_+J_SvmvW^Y^g5S9iJU*!*iK08hp&ip9C26vS=!(M`zilAUxc{=m)F2I*-1)-;
z9_`X`yj0h?Gfl01GdU1iywYpI?1sr1nW9G%3sAhO_fAdQynZ|PXq!X-#rfb
z{eEwpP3kPgnwLQ>pKiF$|`8k*c!9S
zIx!Z!rM`bH-gG_&(B3OWZO4&kHMfJg$COwEE0=pl8h+xSE9C}pmrt~?p53ZtdcDv}
zU!>R*SQmcOAVMfHNltuzzmP7`Om%O{%hpB&aCg8mv;LnpY>g#7SkmY{F9GglY(goD
zy$yPkSyW*I83sp@i46Dxm#lM{Z^ey*&Ae&zj@CyMh)Xnm7-zny032f2wgVH2Kq;
z6IFr8_{Zm@*NjQ@3HyScgj*D$=esE#37R8|%SEN?-LlX{tQ^1ri*S*5N|
z&Lb!cy5srGpTfV=7JnAWMBT;}e;HiI`SA}%Omd{{EVXqCUHAiE0U95N%?-k0qV31a
zRj&dG#}M*oH^-~>R21xV;3YE<-$Z5@
z6yUqa!}nYkL{kASbYaO4fG1!^jU+nVSS;#_DxR3%HaQX()(Hx+(ht5BdvySBun$KM
z+8VS&?Edv+cK0A%4FiBoHa{b(wGf8VvAm?+*TiuX)=>7cVM$L<{(U3cy$poi<;IL}
z{_7DUD}p)()+lE8Ak{SbNF7aedl)8rlzQ0eLtS2IIMx2tb#X-e?`s&z-C`qsSq6gs
zSpEm}2vy~g>4I-#ldKHwce4Mnr+tu~eAbrb2DYE(NvvgEb^3Tz7j<UGxxOfnGgZ>qC$G0pNa`DvQgD*T6s#
zds#`y9aH!90#^A9X?VYc7om}r&^GqbtwQdKIIl)28bw?Qb7UE}hXulv*FDBo&ok$H
z2j~w)z8*+f7aMCPtN2n-gIZ#8OXVI@{M}(qsXU&1Pl{=m-e+nx=6rF0-H{_gCw@of
zT+-V8`ny2zY|8XDGe%-L5~({!#D8Cp3pB_g(LzB&8q5hNibZNCK|F*~)<`_gl0vWS
z{sp8ofcb^qqg2YVoopen{RYQ5AeLy%e>cjiBQ79%tp@09IXq^V6H7sqDNJRa9B_n}
zTP@#^7k&EaQ+L0Y68^{`vghF!nW+g9+9o?^WJHDC(6^&RHomy;F8uODJ}IL65p0Dt
z5z3Z7_EsW0$`A-tW~&4y@;xKm>KKmZyL!e30=kE3DwA$sp%#-MOAjq}9zC9ViRsw*
zQFuiZn#0|j2*vqcz6PMSo#3LVD{(ZTP1s{88Obyuj@SOaX$VIvUoYZIEF@eW!shHs
zxF^TO+2mx-OQ7QcabL^#-Twot1agq;xSlUj2F@=GqB&69c~{ZO-1>kzKiams1A@|m
z?sVr093{YmL+%mMdeHGj;@`2|aZ|L|g4_JU0xSoY|61|AtaXK8YEbw%^H4?u*3#Ym
zIVtH4R~{4GQ1*oTy5a@)M7@4rQMT5jAuk_tp^#1mjN|Kh&$4
zp-J0c>xBEFbI!Lrv5iy%@87@a3vthEy|PfU4=299%Y_yv=I0C?<3t&><6Rg3gm9+z
z!S#Bez>BjSKiet;_?vh&sKOiy%q=zto4G?~%NO&Ej=DoRSK&Y9tcYE8YT}xwK2pj#
z$5!;V{R%M!{eX&B9v!7iq2Y)a74Y~N8e3^rd+^>vtAG)Ijv;3|S{j6F9*kA9l;Py{
z=1iclx+}QL7;3eX1kI_JqzSS6dHujR0=`QG5@8`y>7_*?R`ONl@>qgQAAR4qsmYW?C)sb}VF17qY1%0=#e)S38S?o~~$&>5GL6Cer
z*ey{FlRbNVD!sKz{7XnkKwMU>8A3X#_Lw;95=ej|UR)K(JM<`XdQb`#!skMzVs@2v
z4qk47Oc*V;;^<$lbTob0a$lo5MeE;SWgnYhbIJbr;QUw}e`@zBF#V?G0E(9cNQcGW
zoBox|`6ihkQSe#d;R4@sP422uydM!|%pRJ7iw8lqlfErjJHKi0CK@&SNpO>Mx
z+;G0a`KiXNeC-Hr>j3=*v=?2!aZiRr$)LmnNwBS?N?3MbN#Nz*5$PCQYgGL0ejdVA
zrf)_b^ndCRrHR%77=f`B1zb&|0-(}vbGo5>$_CGybkLQi>eh6$TO4eHS>`^C39km;
zAu{=~*#fv-HoWdbM#>SJ(bs&J{B~Cb^>m-e%egf)S>>c)#0+<5DZwpILZQ^A#
z_d1eucrhkASex#V_|F>>`KbLN@yu8o)ob(wL)yDj<*X~^+%6_W>0Dp
z&z;gG&$9cdi)DmO!6uZYS%TSnC{2Qf=n0~Fj}h#h*#BxQ<_&Y_B!68O!+tWxpDP*@
zl+eW3N+>>j*3Z>-pqLl+3sR(lrgDL##mX`hAtU5e+82iM!C4gl3B`BRJK3KHz!*~{
z7j|IR%F{-NgaiJz$}j7;o0~#+8_cSJ*4#0Vf@Hl4uJ#nreHRr`k&;?t@xi!
z(dnmBmVW=##c&mWPEG$_*Xc5*T_r+>v`PM}1syqbDjT($`q#dYw{U;Sq1%mVkA97{
zT)Q39BY}ZD>RV~O*v#qvQ+XPZJniDh>5WZ~gff3=7$6A3VM)?__|Q9T0f!G;SK|aO&RW_e`!_8#$nqMnxkz=y(^47Q9w*`RtZr2h!nJQ
zZw#0q(*1>><#~y)Hs$`S1QVH%3f!TAVApFKA&gXVONya$96r7&DR!ozu-fC$DHg-OIg#iD
zaA4FM3V9M9sPxG&NI=+?^+pqAl$nOlfze!I`FaYGp?k+l%Xr6fvVp=q%6;5^Cm_aI
zy7WohCA2QNQX*(V7K%d1AfG=ZnYVOvIf^WWt&m0cjx90IN1CVTsled8l3NtrelZTN
zFgy+;+o<&?0WfPRSV6s~e`#Z{j(oqD4s_BC6I(LapQs784AJ*F&61_oN^0N?+|J{7e-1
z>$?Q=!4elVKOF$}-kfvciOCGp*^#xubo4Y((z46u=DavK}}3cwsH>_@~x~&~4U3^vwxlQ8v-N
zjokeX?|e>8N
zh^-|9C9=kdL+8(_43Dm@wJ(}q$~s?ij8Y%Ehg-h1MN4j>|LmF*;>97)9X19H0~mdc
zpec4eQx^Ix)ev;dP{-wp|J}BuGs`3^+EzLwHn1wL%k#aq$gaFO&~T#&e=7^a+Oxzb
z8WPW04cBw#$CYgrRrc7Rh-i;TVkVMbNC{j
z$4+|?EfuQTJ?Z{vQ>|W^(`6}A-;e}9Gir%Kh$6`P^)|DM01V12yU5VuWBrXVFllE!
z*%DM!PM9wgl;6ytr#olf1PfB{SUSGohr?AW^M^%;{;)3Vh|{%S*7a+Br+sTrD00KJ
z)2#gQ9N9(K?(5`8O;;x7XWjr*kqdzP&}E88*KA`xG?dIFgAolp^*jmwx4l$=2syeK
zB~GfrA*ZpiQAw|PM!>N1jdtxc`(=;N2zn=MotT;^%6X2tXYGP7%3R4484%nMZ=hP$
z9S0i8XlVHs^fZ-!n~lDW43cIF^KK}=+lkHT9Q?X|
zN8RXTE_kMXrK?G0N7>1MkQPjo0%es2~za`y#Pcu;bN&(bQ$_T
zV1aFQ2jvXAR`6X~SH@4-d6U0yIn)hG?we_GSj#=XwN{t8rboEX(6~nc!%bD?LYhi$
z)!DyfFlF((E6x~BnPbTO&M8wa(M-GQboqKh-3Bs$fL
z*YZ4KpoTl8?Q<#F&Q2&f*ABBgErI{|)fs2z*bTKiCQ0b6wwI~l&);ZvzQOgJ<(Fd9BK(1UeOAZ-}Vb{wB*GzS)eh%Piy_<|XVcS)hqwtAY7>u?`E@Z{y|$
z(p*J{nU&REJg217IYXpto3q+xgWT#+0v1F%2B_{jsvm4A6HaDNuV71F@~mKRsPtmq
zUTDD2@2-iNXv3Ryvi_@*=e|}?(`!i8L4^trD#G<~t{!}7vOoD#xSFP%>2+#cVS>&M
zu!6zWW_7ty;Nqm(8(|4OA#kfGty_19yxC8{6-m_}FigJ&DW(i(`p<|*_}cTU&)kbK
z-XpKCojq^ioh=Bwus2`#ZHf`5>h9e1P^`Sm^Z}M
zC*mNEAQNw(RGC*mEWsN;ryPYmTCVW`N2;&Nm+YKZoE=M*Cw|*SofmMZ<7J=Kl
z|Gfl|WDr6lqxoJ5PXDSaKds;Iv~UIt()m-R%b7gOY}nV9&0o`4HU`jbPFo$(QR@@{jh?9K+kKi
zJ|{6${Z^mViRDVcwrjgop#5?N-sMR(rIRs-^Vo31gJLzz7_y?Wg%I6#AaS5S!<(~3
z?+Ra_i=Jdl-`y6Dd%9I_`
zaXA5@)Pug84>2q@x%p(wAOz}maD^Hj4-b{;JFxTeQS5r65q{DZ!&JY%|CKLXn3)~^ITvMIlt_*eLh#nXE(fpnr0v2
zod1Lw$>ziu+@ZPeo0hJIYdp%+ymQ$eJ-82wosahxA@!1zvIm~8#KFW#QN+2WhGT;M
z-KR+&JWz(_4|42!^)eqJTI^p2SDYMl)Qvaz0FygBS@}D|H$HB3pbZfbN4nlhw$4>-
zo`+0a91%9FHYfKLb&cu2Si;
zWel{-hc7rK*HMzvas^7&5_+dm7u^ve-n96=Bx7{rl>F4ltDT_yny})v9$4@mRFLN(e=6w1Q3Y6+5qUTPr|^^E~!=r$>Cqh&;f1onKG1z
zj|KcL=0+{1}DXeg26
zXB3yt3~qe7EcS1UYYIi$8wLsa$u9p!gl};FLed(3M=qmL)~BKU{e*Ec(l7@Q(1(Gr
zW)Mbc9%86d&AMSO1dNZAGS$ygWBHsoMtq(1=5(x*FoRu#c1&)79cRztU=c_~=MSVV
z0{^U`xPd`w3HsE;UPCC*@7gBwm3V^)zw83`{5L;t+FEG((Q|RluOk3eTyFRHNlTzb
zA51Sguqj=H4yW~$U6`aip-h(<`Zj(DzLo}rP)DR6rSIlw$F_N*F69dsBYg@jU2ccW
zexKS*$7%Z9f@~J*&FznIyrL@MJLd|`kA;bI+fvvk3#A`&&LQZe`l6HgPI36t4z-At
z#I-sba`aF`yX$g*vyL6K*bMn_iI`fSpy8sbo~&(;umsJpnLuz|Y9@D^w*r}R-#m1=
zh_>Nu>yM*8L?G9r)21z^`I|fNNiA(y(U>9gl~nBB$60n-j8=Pp`9w=pU-D<0Fo^5c5upAqwS%3C#u$&rU3D+Y;};
z$J#A<&2w#U5Lf=fCldP1mG{KYs@3Ock%W}+^$wbvPv|ZNWt5mte<@e?JqC@`KMKYQ
zoxGH2>woazy_Oc&E2MN{(pP|cv+scF1~q@r1V#yPfGzl_wXfS!8}aOXHXJ1>xkEb@
zX??(2hV?mdKBkY5znL(ClqR=;o2)&Luq+#%&Wd~dEd3R>TzKeTx$gJ+$11S~pHd;r@Y3TCoV54c?bg3OkCAvH0~{;kriViz9z
zLC&m*YBLh9>{>=vgY!qXJk2N;YA6k9dvTriP4wAIKSz-AKT??sKW~mWThvGohc9&2
zM-Cim7Mo9xz-4$$)T8z%9j6%m5qib|A&hC8f6pH1^NCRQFiK6W%MbN1ESF!1C*`M0
z)WiYJT=x&XJ}AQS1@AhvsQ&#_g7nTd9>|__!C(LQj=D=6jc^6=-J2cb180|BBAXGV
z3X~Rg3?2Q}dY}00p(_)=R&3aIj=FcnZI+8*8A~zvV%MheF#Rl1uU1;PzaiTEj7nJm
zI22i&CSU~8Zpci%fWX*uX^1YZB{ON%&;HGxrtcR2z2dC@ZGGXHNp-f}>$caA)p#K}
zExaNVvKOadth~d2ET8h%z8~YpuBjBAn72{KD5f<|8=%s#Ncp9TrEW~dQ3=Ne(JN@P)|FhpKk7-i0@Z5KWW2Uu-{qt>a~2QcvT5<(SGYd(ux#LQf$`w7-NLk{
zY@^o49mq?g8ErhhY4l-hB&73cb;bbE&o~&rXAw
zjD>*m&9^z(XurUeeJ3ZT@Wcb*c~~sC+`YpIC7ax+oL`do31;p1O*zIt^7RI1Dj{K3SV=r#gxz@;opTw<1>f%!p+b=`l0DMQ{
zoBJ+urwpm*cj&@rYKEc(-5`_>R7=x(4eMVa}4PR+&
zKbL*dR0!X}^_#fwc^ofZ&~L)bcKyubAA_jt$MX!I*fe7{PnPC~-ybR-hydqf(KNab
zI^}ysdo7hLvM5dZ_#*S=JZf9KdPW_q1n)RWmIKjb`h=dc*xqYRS+4h)gSl7nqfb*D
zJ|k7#E#>559NGBJ39wI+WF_MP=JI4VzKizZhR3ah&F=BB?K=N4*{<`+RqQQ+MN(mT
zeLG@bxLy3*6-am`F4i}SEnX|wvbLi{UI!51`=JD(`I1k}i9;<-uPZ0Zp?;dI)Ziz&
zV{|=YO3X{7ZZMmi*OlMQX*MfU_D>KgPL>^&Ci{PMv`ZhAgcG?%Z-z!U^AT{T`Y9BP3Z~Ff)Qd~f>;2a
z(~GsS1XjzCT-S1WTKhR>cGzuwbTcDn@eH|%ONT9*YPn`TOdQ)1G`=&?U=
zj^a|F2y?Y72PVVNtvO^Q`e33Z7!rFfE{9I}FO&$#be+h3L%bnU6V^Os=7RETjZhgx
z$8r-k8YZPpKWkOj!J=ZLWq)9m~iyfgJsDV6j$&+IK=vbaG5}^cmK>K%|N8!
zv|?>EyJ8)&*(6`RKky}cZOLPbBvL4O``>gRjLkekL9N!%;>+Db2JF!^XlW%{Dambk77kei}x1<}whbPmJCOW?n8
zmot{u1_#F*6Ixe
z2!j1KlrDoJ&jMl$bliL&@=${KHS;c6A
z_6WV>Ms^Uef2!LjZCyytM
z?lYKP#H*0GSo`&J4jC|Wb7J77!8n21?zXWm`{C+5g}a>mauLBhRx@g#Z%kBT_DEz7+&*+
z%Lsxx+<(N=kLE;Ve{tGA>Gy@dsV3g&0#G>He9nnw^nj(1<4t=GcHS=OHzY7_h$sE6
z>kllMTzrM`JuPzy!mDGOne3qID1QKz?r`WIGP?Q0VkK`-KrCuMw3j{4odOgFsVZe?
zcMW-X&iK5buYAa+p~`QMn5K^JSaOGz0H>5wHk4;S
zADwILx%+A{xUKL9?uBn=_v%3U_JAkMHP7GM?#gdxT246t2=A|@M|m6zegPwEejasK
zcvYKGPTHt|xIx34K{9AD`bY>uqoarpZ#P5S@c0q(+(q61lrrqTO5!)B=vmYALhW^8
z4BqGtTk(~DFiYb53D@Gr5Jn>vnQ91SM!FFMC-Z@CfY-Zk#CEiJIMU!&4Q$*qp8qVH
zKC219H~Z@~iZrs9QFE62gjp%l&X&9VS8+mm?2T?bu=cTYATKPLt4b~CvAiPy@WN%a
zW((HKgA-Q{rqWFs3IfOeRZdRYtq0CI)?cN;6}J!~beQr~Icm#|kE*kkTQnU0{P(TLg)eI%H*Ais
z3vsoF&~I&B@JIlRHaFP?Rc=~x^cb``saF~{)%7d`0ZBIB;4L}@GsQ(aFO(m@h_dKV
zf91lv=71}d9(KDr5dmSm5coO4T((aFQ@B}je
zqqxp90F5XC20@(h9SU$8K$__P^_;UGj>gB>utidcOOL>J(QfH!&(fP{)bhXzLV=5|jHrTI%A7HYPGj_ltH{K!ol!qj@PB
zD&Bs#ya$%8r4pBJ*Q3Sc)N+xzQKn2CrtYkYJ7$0s{tGl9CURcU$BW(lD?#9y@WTGJ
z40~JUA3-knP;_9htM28KOD441h-5aUEvA)}9X$EN?3PMRMhL4Zh^RgY|8Aop5qv#xsPtzm2lO^z?vy}JufT8^_g
za5M9g`;7Nl7K&8zNqz~S6QTc|NNE%hF|6?LpKTxPY;`V}sDH#4xLjq64j6_rZ4;ZXyoZ5{*+nOM&A}s+YUf~4r>K$?3?l0JeMXgGs1wTCsBj>ryDjCsQs_N8
zXk@S8pCs9bA_Sf$JDM+L^L4CQH3E+)SH1y4N7l$$ZE8Y|lX0Sy8z}QP#qvZ&JRpt%
zVyl~~;(;qv9wmSTD0R~KUfAv*>p<=ZT19BrhHl1_ib~mx0`QIRRsak~ZZ_g^9>r96
z8A*=4*_!TRj-jKTP?PEL`xw9@qT)q#{Chi2$(N>x8>!U^6nfx1a{W%RmMP57h99@0
zAfFq{8^GGmjvmw4^0n(2({8U5vDr!Fwqs#!_7&c7larZKD=C{7W$*+z2;^4fg}wuMyqD!p+dK?%xl`oZ=4wiE|mg99e*1_DFw@a}ILuppF9D55g7
zI$`|T3c>nYwUnn6DLWl@C!=S&mWf|U4Ym>7(tLge#8}Jdqn$XYIH1w+Q4(*ubSLQS
zuvd0R&D=8<%QaATVm_n7%r6s=`eho)v6+S}`p2dKL=;BU(d#B8=g>VpGeZE)jNd@^piuyjfk
z-<@9WF^p#Qh+JS52y$S?8lQ+}W3KhZiXW1jdXYOY0FzTV|J=V)7;w~%^VuVY=%r2z9P>R3Vs~S(moV{4
z!AY@r{K7M1c~P|sK8|hewNor`DGUFZiXU<AO|{->ymi$QfuClKgQn^n}+CoEkpUXPOL()
zTSV%SkL}Pfe6f%3n&KBfHl-hv?M)mFts1bD9SB}CV{o?HK|dkubJB}nBY3VjzvLon
zOPT`0g#1|dl$qg`^2x<7s%U7bff^mJj)lfdaomfr^r2!KmOH`2^>a*d37`<^`iehg
z6qoa0UjN28gEcbI+Jx^z#jy+vkSWg?2)bo$$=l@Lc_!{=CYH8w8EdsAN$g=Yx7+ngnL4IPb8&A)Xrfs)9<|~JnK0wP{
zFcgTpstDpfS&$$z|Fih^Z-Z5$+mrG;rA-tZE6ayVW%(U97XD
z=S6BfaI9VPCnCZ}F%v91=mM1x^q}Qds+@q0#nH!q2BnE)HUzJWS}H$!0}+5_=AVSP
zm&HX|jnhM%Rw-sf?d)^mTcIsyZPU}dUvlQ%pf2l5i4N;3$<%zcm_zWbK{7dWFS(!7
z_a>k)p{GN&0n4%)3VHEddrZyA>p&%oEJrJ_IoBU4qQ5o(-{tN}xoJjxs&~GDX=~YO
zfbNZQI9nd2N340*~>3mgQI11q$5znB)jf
zKkTQ77N}yV%9%3CvplHaT%5sLOb(~Jx(Kf3>Ez~@;{MT1N0liM?RG%?iF@TYJHr~<
z7Fbv6ursk|NN2Pm{vzCVhlKA1F@ji%GnHD~R{8RXwD#2O-o^d2=o>w=64Y_lwt?S?
zz1*GmrzJ)E^&(8Yw+9cPSE2l^Dzb#mxsW2V1^ewjrhh@ye>VxM?34r9LCX&QXsn&K
zza5$e|MaD14C%Uu@p5mJ!5bTpy)?LQhX6H*;qj)VB)RHn=)P#+9RgL3l=c}wDfA7C
zimm+KG}P+D(chD?@+hE&i%e1b}EU5`jUk|Ti<-(VVs2IhR50uFTO3}Yrhcp|4S2C>R>pt3SMK!pRgb*P+ytj-ZJK7OdpF+LpZ3xJ
zyXuD)pVRSOQOBaD9R6-MH7g%TuoG(I(B+h5ooKnt?2sH`$S7f*RJ9?tRu6vn
z&dkvhQ#79fMysO`JumUv{i|Cy5a8r8Px}3|b-ALdvNJ@80Og-UE=jnyc;We%))XnN
z=H*@+bEMfjf_sbQ{sSb?;Ro~5rLZwKAJ#??_hZ8gvSOkJP|*Y0aU9k-E(ygsG@~^h
z?e?zXUEyke<%w!o@P2`r^U{DM$3y88#d;&offzKuxH
zw0u&3?#mQKIgi6SA`P#R$XM^MvySM1*kli0KsnF%wnmyr=M`Q52S1Q|vN^S+Fi3C;
z&j|arv!EC|oU%~!)D)}1Us?V}7)H+TZr0|m@f&{In0m8?{R2}3-$nQ}^@~J+*Lv_u
z1b-{9PHs$y*l#UI`k#OD1;28#&tvN+1hO#A~>cW0p^Y9a$`MW99SJoF2kW64&J6sM0NLQJ=rO+Ux$ony)f#`)ji~MbE=bS&+w<(;O$(obDg|
z$1hqQRp)}KyqG{6VnDzL+QuN^1XYvBQFE18sX3u$bJ=m8gsZ`o)$%J2^EUB*x63qH
z8$kU-95fzC_@Zt)Ll@8oeNl{lBYXusPV@IvzP^3c<*ZUTbf#RUrz7b~tySnN;n6CtK3)7G)9xCWq~zDoYPuh9&g#CP)+gm3X3r*q`1z3F+RO`
z9?acuJ#}7fya_$|ZC$x2(oIT^^gZFjsm!Ff-Sv3aWpZGV_wp}o9&Rvt2%Kzr$)kG*
zp)LuG6OVlSOG3l2z~xVL{|m|O{SGBQoh6^7=>GKW_JY%hw&&4a{&CYsiDdJ!(rn2-S%iGKlZDze_;Cn{yUc(Nc=g
zuzPvov5B!mg}t;icDDIZnBZb2ptqU)QGB9zofSegVM3ncW5Q`)M^LR-5Qk6W#R7<4
z8x@X4!=7WaLP6*xNH@h?*hFDs6daz|-?0d*vU#HqBnM{;5ukcW2=
ztiF8@Uk#(2`fc&Yh+g4%^A+u#+;ivU-fiXZH8?t9F!fc)b4##KMhw51$qI*g8Z6Dw
zm=NwZN1>@5|Hv9cfGs#URw~u<>Q7uR+|A6V{-3s}Zl7DY?|$nB^r~AdA|U6
z{oIFnuj?Wc%Y@O1*d<{HHFs8+hB+{PmnI3lk(BPF&m8?`j1%q$e)NLaVna?IV@?RE
zNp+VE`iY99Kaqo&UMOZMe>@+3DPSv}LCR*Y8ZqeVbL_V|G^mCYG+PC2$A3ez^MVN4
zeY#{sfSfNarHpa75gemOdi%4F^Z$DR=C3Mt^d2s!^375Ms|R8lPU7>l%`=#IdQ8B7
z)Pa&^_#RjoM3B|<9hoXbAVs=*cJFuB(oE2WG)#_8bI{%X+3NCl!w~{c;9+imUPBtc
z5N<{!YYIXlcYC(zE>VO6*?7Ky`=(2-%bBv*!319a@bbW8F)bB=%(uUi+M9TW7kOk^
z7wQwp>^UBUGkF%;KWX4`eYU4bV*Z`o^}RXSW07Coq9(^r!v}DmjQ+V~Ea8ZZ?q6Gk-{1J2YJCL%!NJWO6uo_IYSj2f
zFroxT9NlCptQ}>7(h&V6OsY@KXm=)gjNJ-XaA`9>C1x&ssDAVe_yvl+#V8?Rjq+&k
zHkji071r$uRdF9oiDn2{Of}M967~Vs#XgB!1=0W}P~fj!FAU;n_;5}zT?&dT*B6PI
zyU!ahH9}5Kqu$|@qy~~{5cIs|*N?5uWN<Y@_+BsmjE8S@jMvz8(e?R+5OH<(3uPK&Wrmp%6t)f;cGx3xRFYYp$7r+8t%`W
z?VzMK$eD6tvOPQO%rVtKEEYS)T7CkC^PI+||9mdgz`ZHlk3d5lBK06=hiqSzp@ysi
zOFCr174tHUC7o#af??w6c%|zUrnsvW9W&v^6C`0ox=AL+kdvQyR#+_DLxc1th0N5K
zqZCvlA`O8E2P!`j*+CKac$(;7XfmK7@g>1PH$O0lYh)?S$^08mXG?n(I)W3Un078q
zkRKQdyAYUw4vHtJQt>reVUNyfJ1WFM!KkE8I37rS*^GB?rr#f?tonT^u2we#md$sh
z*N?mleLKBfFIN!ZA6z&lQ&zkQd=_-<$!RvvenG#3i2j3F6bw8!R)o`((Md>s36by5
zn=pD3fepzYDw0=kMW|Q?-j1Ng$_2sw#`r2RgS^qT{x}a;YM$?PCdZBST4^?va
zk3!p1-sq2lUFbHw+i^xHAHKjefzZ5vZ}|Iu$BLjWJd?l6l1YbU3T^=62f9|eE>?M}
z!N(5Kg>gNWH(#?zud`-C!4`wa*2S-yU@t?#zJyF0D_Do2(=<$E&zeG3(qxuQff@Xp
zk6h`W`|ZL4XurzO*GKxyzA0CNh7AzQeOc$+rCDKM!opmDC85lwgBSh)c78*fOm%VF
zhvcAeFX@NrIEnpvKBilsWH`6MUavTiW1aT@fd*NA+wXze*VcsANHQVfH864mgrheyPIL;wh*KA6Kd@>qWfn%3lU*|
z-NAO`{uW9!E=8}(2+u0P!#Fu>iSoZoNq<&j7BG`3{va)rn5r$~f}Ub|_D`Zp-K|zsg9dRo1uVStyEfTM(wJ3aCUil5}cFv4`PRqnAjdhf?lakYU$
zg@_=XJj-YT-kKUg{>$uQnem>|+j{=*G}s^K?;LnUu%ar4z98J}jN4{<53RgbT;O;$
z4&LFQ9JVpj>wl;4;l8j)8Y>FMH6C9bkdFR?kk`*klF0b2(BAORD7y(}{;9LgCG3!d
zSgAh?b21w|D4>|`+N@wiI6@(}V1(1Yz63+qa2L0Clwgq?S4h_apx{XnI08i<4o>s9
zNsn)w){a$I6z)MJhvL_MZ-LC_i7q7QU)|0q-WpSW{vU4_y!MLP;3=Q|&zgHX70lV)
zr?Pd+{e_>_pr=%tV0qB
z!JoqNDBi|KfSo|>3VYNX5+YbkiMoe?$_$p&Gej}4=fz0
z<5vf#RDIg;s=x3|O4jJCb@!ccZCu+T6U%F0ieL;HRD}U7`l+hd5D9wZ~D&~!c>hAR;q+CG<-$BywcCwlhbNn#jgs1cO40ocQWj0u5
zFL|4
zphfnqoDZ;H?BOMZ){B1?pI_V51uDHsbF-02FBFaSo~B|Fh5y2sO#@G2>=Y%b_n1EBy*%2eYy0Bl1f9Ss-
zGQcUWj>zxqSf6s(h?;O^6*BV%=jf#4irry7`n*7b1#LcRr>vqO{e>H3fq`v%Mjamq
zZ@D~K1J!x`;AtKP+7r30u$4PtTxJ9zspD%V9edQnACF|&EC*XZ!S23(;
z;`R4?z^snbg>uWLd`=dj3YCUeg3%9C-lmhB?q@ibzvtn6tF#diK?DS(q+6uBOG>1bl#p(vzqQ}-erKGYXN1QI&7nyJv)JYn^oNSM)FUU`Ww}vcl1ji2E?oSHTm<>X0+||nv5;2l;Lf0
zzu$<5P3A4aN-!!xzD8l=65}m^@n$)iMd%~mOATcUyZPX=4j0|~lDKVj6Ed5-c1dNr
z#kX+qY_ea}oU^_vL~QbY*waLjZM;HD(8q7tK#|2>L3EmM?YBJ%|9u*2|I2p+O?zL@
zjf!w3TiG**WRY9hSz~$sYcu9OBD{rRUkmQ)yRJCbXq7j%G2srU+$m1@<|`Y;7h`{p
zcEhjUZc$Woys^0IPJSZ8d7YU<-s3Dq;9WG*);@;d)1G*B+Tw#CEO{PBxHBuoS{9@^
z`dHSj)!I)5t4&!aGLYANw=|yWZ}976D&z9T);|$53Kegc4KQC|RXT8&)tB~6`ffQ~
zjPSindFLfW$+94ZRhduDp>Kr?VLa85o#E6`%1{-vX?gF4&WG|$D2&fL&bBYOS&II4
z?^SmHFzX>6Z781q+VD-Or?A7bUM~B^?wl`k^n80i?ud%hnkC%%_;|f4jw&FVaeZOk
zNa{Cz=u`7@3P+VEqaIRj|D2U2>4=dygww|hFWUchd?TjVhvTZjqrcNT`+q*m4r;E9
z<>XwQEk6$#CELmxoC=IK3&x8pc$ND0CIus5IJhFd<}8M5>5eBp@w@PqZ%L$6+f-Ee
z;mlrtyN5jqQ?ziVWP&GmFtQh_MnqnaO}B_Ca_VBfT^dw&e@&vC(mm2P?fCAci00e3
zFRp#LC$BFJFx^)%{}4oP!)7bUVc3N8b$N>;xn2{?}vI>7S%X**Gj@K
z{!ZL%g}xTVTdLeeJ@#lopl1Cv5{d13svU~)+Os^!?XkgQH`=>T@0{O*%kJB4MWs@f
zb(RRqkS>Rk-dIK)8GP#Tx0T5p91nQ3EJd+_#f31ip`9sfs-TiZCwoh_?d8gH>3NIc
zaE8?IpKc~iY*-lc;~dtZ$Np*F{=F;oA~gyp_pF|19ijiM^TaGtWmKzISfuXjMzwpk
z-{pL{$-x+?{W0c@9d{{}NRwr_uW7l)SMCgn4@
ztgE`c8n|TM`{k@uO_y@)v$g%>FFw9fCI)t>(GbTeiQIjE_Bdjan2>1dT6?EX7ho`y!DYkh!kprq
z8(;bkJU{5?_BPbrwcxL!Ue2p+j}1swv1cF~*hRslA?eA(-Y`FKoZAf=X00y@%u>T|
zkwqj-hV#b{68wE8+N9$pldciCLG}=OOpf($15j`npA*s(lDIxKdT(kudbBS4+{>^F
ze;R`xJuP$5Liyw8Os;#+l=B+=OGGmjj58=!9b8<3R5Y72F>UQ4+%?ru3mkA!Vv*Y1^&zzX8M7%G8CiP@a?nK6y=^*E8Z+crN@%jTUtEL;^yV=h#py`J9r
zzuy$YoAnmwR06)9OvP6}PQOdCWWqpyNWkb_a)e^Ay^6{+Z`=An*FNwJ%bO*Y%t;xC
zt;-&bj6QZ{-r~Q&Y`zXSOJm&i!cyJVS0U;oo1JEf>0?a(=xyGV_-ZSb+X|*1KU2$D
zUZcEO)Ar`;{$c9Vq3dG*v108GAcWl9Ze_Cca+3$bG$dhpmoZ02N?E;+BHm#PSdsX1
zt}Bx&eiIKQu8Pb2XAC_x@`@G#(>FEp01MJmyr|aKGdj*EiGO2xjePc_m9|px+X@_(9|IZo5MK@v2Bt!yO{iAyd$o)%npF&{S86LTqs|NK(3MxI
zikuz`)8M49xhX^?>2%iS5M2r48tZwg$^A=E!K9{%&18{YS{QUx`Zep0b}Qd{y_6Jj
z>3Q3De`(C-t603k#A~agxOHQvB>uX~m0MJD>^!s#okh^D^)X6O31
zH^G6};av_l7LL{=rrr5jlN-uKC^}!AjbnV`(1W{VwwFV*|5LS-x*%kBSfPW@W9^aV
zH5E{;i%Z;UTV@kP^?x`$!ReWC7cxS0!zBqh4H)}jw2d1zc;(`(CObln~-rM-u5dZ90
zMFQJKr%w+0)tpL6<#O726f$vfQl~9AebPVM_Q{bDA3?Wgf!8I@`A%V)^Zik~Q~OB4WW}iw^W-+`zXix#LI7rGzXCk0ZBz+@^3MAKf(`Nw)2ih__A>
zUza336|JXk5asxIU*QYkRmpa01#wb(K_*0gMyIJA5&fqpee~V>Ys8{4EeHhl@pR-$
zT|m*)cFhv{r<`(?z%Llql)XW@Pls5;zp)O@#g&NC@zhWz7YWpBc1#Qn1(Z9i2Pc7heG
z5Y6(9nYRXiI{Zfl=VSr(y*WDuCry##Zd}^HYI3Wuxk(4S4^=Khvw0`E-nLVJ!6;8%
zX&?QJF86dE6*JK#rWRuhg5X23Jz}qX1cnctl7s-E1=enHkQ3n^{WrQ
zN^muD*?5FE@f0URDk(&akms{@%mDrd?J{4plx_ssqhL*oRg3eLglRhl_IvN2o-Fk5PkGtP%woHKVQn5a~Wo%B-j}
z`$a?=@9!w4tfdxunTG9R$KC>
zWj_18;%}R(xya|-90CJ7xrM{NRM3mxst>E0F)1^0M5gp#7wHZTOZPrsI}>^+P(Px`
zf7=`(W>O=SRBjsg=dil2`V8Z1y-wq?XCe*I(6)t@nw6jH`E>8@jG3R9U{WrL)~OC>
zJxuf7W5vmxSh(;RqmbZv)OowwsdC{i_w=AQDn0tf%eTg?MEg7@jWy=McdRxHzhG1M
z9MD&Li%;YL*7)eNUbV)8PJIa_qV(
zNBh~ab6dmOVzTYJU6HI9?RIcxuhJFWX`Qus)|36tiUg(Q!#FY|JV-r;Ktt~FhplU5
zH@xkd|Mhe%Iav&S?|)0nAN^zh-i6fBn>~Bb7pS{4oZ`%E
z;WV&FvFT1mf`IQhY{vu%UDxag*zgeZ)lP7|7y5Lo>oWiTm%paQy=_AiH7XnI!F-ag
z2B^$zivbZ&oGtX`sjl54?xEio-N(Id^VV5d+*vC4#9SqI3Wo1oHp59pK@6^4br#9j$Y5a(nk%;G^ZNLBZxl
znpa@aef(RiE@X~k>CPKz(Mogo#4}wIqB{PBoW(aZFGPq*^sH+UKCKb{5)6iSq`aaI
zGi8Q;v{B(cPe@U*sMdL(lw>lRDMb)vy{C}{$JZN@W8iesiHo=NoPqlxE<>Pxxq^pq
z?NLN0_vY(dBsqOnR%8>)i%KIM$|ti4({d5Vmw#qrU}r*1^`~o_ae7oBch)n9xjP$f
z(B8M5EzP~R(rBZ4HOXN!$b`Qk_WU>hIbp__NdCHnDf6=RTKB~?1D-kGJt-8ej!!LD
zr*kd?kIlZ3bK#(ok&zw$c~xbofZzhFUpUA)Ae=7A>7YuOYGqs{01#+Lt6S#PQ&hXR
z^%2W{#eZLDf5__D9eWKtTV`Xl5hcmat}gahPOXSuwB1o_>_$^t<=|D|_*vg61d>cf)opK2(VuXZnN-!Y>g--q@I3HNde7PSO7)X~e@zXxMcg3hD
z`d%`RDVDC@j>{+&6{3xJpYGJr!98|~m)yg_J7$2M*YF29Ay56iK$=Fc^3)SEa(?;z
z`CEX-Ix+>?ies9szK*Z|+K#=VX+-4)WdCo5+WJRX!#*2tW&6Ndfx$ngwQng$nUpHD
zX%c=k;IkXp=(Up_t1kPHlu=xqhMu0jdSD6;BGzqm#f9U+OA_Y@@M32f9LeZ`fqld1
zIH<*IFHL#O^o&h(rHO!BoWi@ZxilCMblKAD%po?J-&Gvj!%3zV6)O=#qpN@HSCgXN
z-D;E~{f%Wx*2+#cvo&!4XAk;0>Ja(;z;@wr8yvord);6ryjLGB6@)RtMjO}L3C@jP
zBPW3DNla2ux|1Rel{H&SAH#{&!bZhY)NcLV85M!aJ@e&DCbT>%_;lvx5oipCusE8cH}1({pxp-JaTNLyMwXjbazUa
z#;z`r2`^Uu+u2!u1*hGuzTcNVk8ISOaKyy(G^82!o(TM?eU|=ds`&T=fBfV3WSj3Q
zS4f>bPCqPD#n37$+uQRQ|I861Ja%VQ9(iukC~w<6VQ}N(>HB=o<=^^Ha&P
zOQC-!jupjGIb)rLpFo1*0xdUlh+SrsIMxkK|9T0v>|t|ouN!`?Hs;8*12#n1It5|Z
z){OIUxxPR>!eq6^7+R{B1m>#bq4sv8k?Oli@hvBLucVfiw@~9qKN-5$y!vkwUGm58
zX-{j$-cEeM9MG9MAZv^kAG<{E4YeDE5R*_*foIiMRp2F=8;AB6!OL~6_E9rbR4Fel)^_v80X_`@7pDdCi@~5JUqNGo9DCPivdQsR=GoCLW^oj
za1VI#x9X+0wY`$As9xgR$%AQmd%Md0pV4qwbx=^wGa;$}{SNRY27
z+}zx4hk9K+@eG4?#|TXGkxz2q3=AeGbV-9t>+4~7)FP7XiIerZLG6fY9X(qSh$>H*
z{<9ia-f*tuRa{bUv$`1T>KzdddbHMS3zcs36(4c
z&SD1(--09D!U?M^)k6D!`$jnATnN=d5>r#t=_+&lS+MioI^?6kH5>U9Gf}MBX~CCW
zQi20Ng~aggSuO!q2qr#$FKoIfFzVGwYPI_%@*+*BQeGN?Ku1McUS8$`m+<4AxvAaD
z&rcI7z#(|wUDSDF6a_4UOI=c_vXoidRt_>JtSaC16Gc-Af9dfs@ceVXM5h|dTbvfW
zLD~)cuGDk9k=E70cZjE3z)8e?voL>uLeoG!RkM7Gk(Cuw^pk0J>G+?0I6~e897y=>
z++HGmY>&6GbSRq
zO){`!QUHIAJ((?`%>-ud9M(sV6u_1^{pjNCta3q)fzZ*>adB(wb^aG{iwW8N)yOC)
zIA!-CXZ+7}?eDZSDkf&;<=iBFq=Bu$mM0`~_-
zH`;TWw3s2%Z_LalElVOnWZfB%|Js#ea#8n&aR3R*FA
z^u$mebYMTCd-MojPEIaa%uAprjut;4^Hd^CjlDa9n1z6VU~%7DLxc3gBZFA@Bt1Hu
z5U5fn&!mq~tg9Y7?kc3e_y5Mhv#N~dc
z$a-m=v&Nh$_+6&Fz+ebe%sZ?jpV#tXz3dolC!jAYq`1hYC7L6-rwJMm*iM0VEcJG?a9Q*7<5H*@1C~l
zEWJ!<#oJ?up0Ja>gKBJ#H^#Qn3N?!3KYZx<1WqIOiNr;-A5x5aeaMHV42Xv--1&}5A6H6s
zrxB#`l(I4b*vBB(M*h?(ykAx8PKMug1o-K^
zNEN^Z*oTRSCvRcF`pJFy&h}hw`K)z|CIs3Fi!la`WD-(Rk-M?rPvrjhm)qDE)90r;
zufJLZ2+q5s)z{bK9eqpT4Qs}KJKxlAr+5b!SI*v^3*52}AevSdfgMB`>};IM%1TTu
zENS==cpdGJNZhD-P(vi@1osUBQqrDNqp32z1HYTUez-iuKCGF{FJL;^5}%<;!dOAf
zRW&__Cy56q9~3%p`VfH!DcyYj>=^?B-T(6PasyV3dfpAJhCg8Ul9&5D={x*qr8@%7
zPl~FA?@L)28FOYuAurM4eWdZvP?g_}uOkHH=h*%b%PeoMubi(hJ!;~bo0|(ODn|3>
z!3srLQW8-Q2GkFGdwatm5-E5#&oeK4wH%-311}i5T-84nzW_S$IV^Wk{N*K#*Dp7}
zz(v4E-re{I$Y9vlBI4p|AGewfQK+&fG7(^I&-Sk$J~G{4OpA`O@tHygfIb#ORn){VrizDokGE3;oMJLgBSLIQyT
z&K#-ViTwPT>C}h_D+Gd`!u9pF0R9(c);EKttgIzyWoqozge0)=e(&v#OtK{n_QSNm
z8koK=|A$zJ%KX=Qb0JYv4jhJR4K}L5G#|JV=feih4>bP%`RVV?&4EvUPfkoPI@!5O
z(aP1ev~J0DOQ~}vC8!pDB_x?VdY1cLUYSbN{T)Qp?Zfkniv;N`!`r@vYR}@tPLp4H
zJ;1`UZtZ)+b9i*b7$V(1U#^jLGWWK1qON?4ot63J$F4OM_QW?}z34P(q9PS{JXt92o_d$`|`k!H#{m}moyzPeh%9G
z{an?jFh6{z10-N?Lz$SAG6FSfr=O?@saJ2NxGXTK;3{`OUblKg}u{r&x2>qj%U&mfGj
z1hq@b%7Q^zjYm$arj&}ZavL5|OG}G0xRN!Bri-{3&pGZdO2NqQ%{SZlg?Af+t@_>c
z$8NFV4_mKb!Om#EcWGngA15L0;HVUOL8M5qxf6H_qKY00cAB|IEF;-7PKb8j2k?if7KkTPl>$;r;%fHd}b
z{LcoMW&%gC5p;6DI+lkakg+mdZJLOi*RT{rRghIJ-t=lswgWfpED-!f1jCIq^S%bT&y~`rqqr0mk4fAz!LTctjqZS{tJX4cnSI1rEJ8?
zM(gaAj?MsQ$x|kxf9L1MUEzdC0StC?5l8LUuOxr|{6Re2WfH&KmuZwU4K>>DXUS+A
z94zkH`Bm@4(x|+(xfz+H@7d1@j$5__po^^V6q^jZXWParfbYztJ%9Sts8$L89#7Yw
z4wy6HMij}1q$@Fk^Y(S)W$+s%tCjlYy@)yH)cIW0=!sNnMWdi$OjGZT<=oz4SoNK5s;jH3pv2f1F5_!Ee63Ym|G4qCsF>JT
zz7j3s!$Oz#jl8Vv^vuido}MprZDOLL$eiBjeHYgj8w(48U{OpntmVJ>_ir)kQH#CS
zI`*Tcwo?-+DHK&zRjNGeXugP@N_<8*(zyEr$7@4A3ZysX<@LoL9GELHy;EUT{jr*k
zhSv-S_D585a9d;7V2r78
zO4}PtZBk3n*w7$SJ-ds%aY_=|;ClFPMoRPya}CS|6@lC`J3s=y|evt5OT6
z%~;a&bXyz!_U*aP4r^AOLqjpYp7~0k%c-akKA>_JrFpOjbaBDXm&1b!y?cHa3P8z-k(NKOA6M+@^;9;62M
z7>X)$`oS`=#&$wDsf6`skyG+?@*=vNSf%ASv*`7|6^n%yF;EE8^N#lSB>{dyAPIvh
zti=EGXFPwal!JzbMyt~J7Fe&Lfw+(}77oA&yeaE?daM)2)lc%Y$9b%So-j4Aj5H^v
zh`6xp>gn13P#R2nqyXdqrV13sSEkpqx{TVB*9a|)r3>3O76MGFmU|KpcX{AK-M(Z|
z-S#dn)%C3qB~j7PtdCWSC-D4I&yN|^DWwd~L_T5x&|vxg{d)xjtu#>&B7j}Rr)$ec
zXYNNsg4*e9gcFS!S*wFdRc~7`f>836GF*!cN~1F}XuWcHaaNSqakb_@TJeT!sQIa%
z^dzRI>y`IB2cTlSP*A#=fB*Rh$?~br-rn0IVt;iL&zhT>Y}9NZEh>)BH+c~2l#;eJ
z<7?eLGH7%ivJ|P-8Jc&RmnU>7AOp|sA>%H)<`zXH#5jN<=^v23aHZw=$pj@B3jxJ
zyJ-*r>g<;SJDp{_%GkJZR-8F%7
z1r=a4xb8%Pb=_pYuCK57C-1|4tD`$1(nx*BUvA&$cuc{y>?c6~eeiyrwAx{0V~bFa
zDo|q&yUqmpL_N1Lrhx}M|DeJ#$!!AR03@SN9&0I9N0Hseux}6*$GylHJWRpvc(5$z
zS^;vCfPTP(q9CiHVWdyy11%>fCu%J0s+s88dC#c34S+K2=r5#Rsj3F{C$N|R5HIlr
zdp#;7yctIt2dfLxh?dn!Lv(+Z%37|P3aRhbV
z#o2mB)|drCE7(v^Oj;t^zVTCMRI(4q6jW<)op^eWo2WNQdGo~
zkD&;usNfPk`o#}J<*dNuhiErfFdDdKHzFbpo|9x2kz_XZUmH+QLt%|*AlP_{zw=9gbU0UFAoPF
zjs9`|2X_lDe*r1H=F*Vofb5ZT8>0jG-CO;S`VbOFXLt84U^ZMSFW{dtD@ih!k#x+V
zA57E}MMZg-0XVF2wAxzp^XJcWA|e#B!EnFE%Uu!Mdz-7Pri{VA9fctZd^6((bX5UV
z1hj(Vy@dtK^c;n_o)YaUWgTb<3q(b-Z3Ac|gizGJe&ld*YAbrNT~+6MC4v~--bmEc
zFZ5#hg$7>dU$w1yQ-@etS=(S1-le8S0e3#_1~z7hgobAe?kl(t4O*xmb@vSp%7FfX
zlnI&c-w%MkAr1~)kZ73ZS|O+*M~33Ep#=2?KuV}aaW^Of`@a*Ekm|tx$w>%o0DOr{
ze+c!okX@Qv8qmeOEb9H3DgS18an}|9>HYQVS6+0bN$+g((MqgCTw~*74==B|GlBmG
zSC2t)o7imFT;BRq-g^Co8}<0;C?le&NtN+2-0mVRl5Nf7b&b_Kl2;50nPTYVr4wUcmphyU#(lgn7*Yg$L+hNn)cc
zLzeH=`OFXPu|)utu6P&Qz^BcA#j%n^Qv7u>4Ql-8O&&@Qe8cPSu8Y}t9!1d$t@0xSj?|)wjTJbhJ1xQy_D`Y9{{{;LJah9
z_CzcY)k?$-n24kb)t14ix(zCg*6J+wnl38iw-(?bvXDWCL_|=K3`$Hz0t>K=50=7c
zr3=-hLBY)*&#I^(fYbooWn;3Gve?mtyvJ;?xH=|r;vwX9u)mZC(`t~{vp_9MPmh6o
z2|__T$ng*lT{PIV)G1@n%{G4&mar=@5ea`yFL=gr49jM@F#l6vTpWI5oCIt)$Qi5;
z9|nVh0DN^HemooEyYr)v7`W>6Eh}rf2gS|dC-cSL_^x~4Evs1`+S)1sDG!4Cmn!&h
zW_$pM!O25rpo$wpWO2bWvEHc)_0)%isvXqMs1PgUQh2i*^~e}f11y)tqcc`^c4-I_
z$iixBDmFu4QW6;`C1DcR|8ge(hF6J~fs0=-KodH8dKAzJfN1rBSE#3_2=FD?c3Abg
zu}I5gAaD3P6e@a_--}qXl*56XyEeSm+o#G^jet$9bB|gbkE?V2=%9!4Ez*A$iPSYp
zv;sh1?=<9Ud&48eN&*ADoMQf|JwZuaoAJS)0We+0feWJ(N-+^l2>sXqnigF6D*p=_
zL~=QOeHsiL^0v)6SXV=Npj<8#6#!F_^Sr@C
z3>xdpNpVBj6fjw!5&7d4&>I3kgj|GDLMN#9(|WQfC@Ah*rL~#LtXe2KsY29uFY=ZZ
zDIPq1`V{#NUv)UpQ3E<9H6ZeskzGF697P$7YIj@k39}r}TLNLOx5eiI>Ix8lmR46o
z?hrE@LL9@hm4zGwHJ4yWgtNKPIeOZ_+-)Ik17u><6U16ckC(Yn&($c%)HtkXt7hLt26s0cFOfMGa(qc@D2
z$y6Bojh%n@rU;~J*fqwL(@UpY5Y)bmyfID8gz$8_w-DEQeU6Py#@Pko9{2$~DO83d
z;qi?C#=qq0dLZ+o?KOrF1qa|1c+L>OP$0hl-d}nRhTM6I>5*T)@PKjql;;qXy;hd;
z`-?vbZQ{lC%D|!mLJ$i>G?T6g@;9$JUa_LJYLpwY2>4Rxq|4zglxm2O5+?+M>+6fR
z$czs%u|F(YB;>@U6sTx%ZE9{lXuY}GL#a)M+8jNyfTuWSRUIA|*L$)xWlMTff;UqF
zEY%1kCAh{gn#Fyn!pU^r!HQ*9fy)Ah0Z18gcyYf5AL)9piGG^esF~P
zDG3z%3J4*kA=jDR&pH&)Qup`mWfc^17BPGao;wde2{st5_S)2B~@NUK$Br6eEd0zXp!*TmJTY?J?Jc~AGwgYeXhpV
z;q1^9+DE96C>gCgO~?VNA#X$FbEJwjO1Yqw;c+b?=rLMAe<5@&!CH1$=@G_7(E$(z
zLe&2(^h9HU)R~I%UyW|&<7KaF@gS0JKrjSi8miyy*$#Lck~z9zgg-M0maX@Fuy!{*
zJ6wfChP*!L-nynGyYOCJJw1R+81LV|wYs{B+{HvhMDHM0LXwaw)yOeu^>wW*0CJ49
zh1YHMr3TAzaxqUn%H_kZ2x6o#0FvFCSANJ+kj=C|QeE(DrUBDwW4&O2z_($e0DS8N
zK@|C>Ak0HnooA-XpRwtIf|xyEDUbq@;Hu8^gdOTm5V#hPbsj+RuEO)g3fa>DVl%m@
zdqq0Mm!>8vkQ6!~&Sg$*5mHe_bDQ+Ejf~(kC)|Mon-u(PyX2tOW(GB=-5>myQ7bNY
zVFgXH1~l$b$G$`daWbS*Mg4YRc!3L0MT?!VshX-G9EZ
zIZ^zh*~<-8vQ(!!n@rz5ApGIHC?f+yUuS0!8~`Z~%}40|7}Oy0a2g6F?Mw
z&YTbt9uAX*dygj=VmByHsvw|36)6Ua9u|G?=oQPIpw{zydAZ{{BR*aV+}P>rbroeo
zak7Gg(T&MN*M`#v^ZEw|bCQ$Ek>d!}(=ph0PuUaygOY)%nHdqG3S><-diwS}&KP+a
z$NIE+k9BGW2CyP0x`l!9UwQc>TyU9!C?$g$;O~2VW-c%SCB}%}73AMpLS>4Cocsx(
zP-oE0*!?78!>|>V`5cRgNjNzLJSP-
zY;5#z-@c^~vZvdM)XpCt%ajUY<>DI6@-kz{1{(9q*_rR6)n%UqD@094=b5Z5Xw`Hy
zaSBk+5(w;=#Y23xnqaSq{v_r_)XDYLWlQ69`sVtt1gfNFnXbd^qoGtmmP)M`=EG_9
z3{n1v2M6?_Mi#)jxB0ufx+==*qoShv$Hx;u6Of^Z2@QX^n+x$0xlViY#nG#?}+CPXz6353l1
z5)u-ynn=BD+5>NOap6!4I|he`&wC%e{ICCwfF;bD3}OSsFFJ;7C;`FE3-~lawG-yd
zCF@s+(>V$ztbm;eI8Y-Cfv};;2no|A{5~P3ztMz04D>f5KL-LC5ss9$NoZ&k
zq2a>RfUBg6HMR$>cB?RA92&J!Z(hB61)~}X$Pspb;FUL&n}A35_4OeM83K_bAM@oY
zFH|WJZ4lY0CKHpBF$>iqLD-gr3Ni@f$ndOFZ50BUAt<~8Mh}NlphROz*+Z{u6RWWy
zU2l@3Mnje%UQe4RB|1jJD27N=c+vsP<3XVGx(1Xfh0KrT2Ka46K}>vnBrp{&vmb!f
zP$sQwxXo#h{end-rKa}&B@IoS=7XRfm=>8m@q8*?Z7px1!hYL)^yzhl=Y6Aos{7|FmhL+32
z=kGs!SO!)e1{?s0YbB`qI`xO^?)%W^^pZ;9;Fh$E40TTt#zXOoKf{Wjk+Z`*T$T9m
zpL@OwL?vXi29!+$CFvyBhtuPelf$9txA?msK5qQ2q&m}{L@<+CC=y#aK~gX=Xcnje
zRQ?4{pBNg_L3FJ!?#7Cy6vTs!3=IlRhGbnu4C)+BX#T0Glv^RS4DfIa@ddL2Xoh~Z
zu;eOJN!g9>{)g=JfD6RGd*=_N5NgWzHooT~`HGEe*2^>@LJ5iQrsN33t(m8?Qfk-#
z7~%0lVOvTu#2fx7P!Vu>nJzM6ltyNK84o2vI#50V!*_?`QdU4050H5bSg&1>Ev%gN
zsPJhNl|_--5fEx@az2Z9F$B}q)?{V6^{61xivNS&KY@T~s5iy}l!Y(aEzckVw*y!v
zBq9m~%|()lC=2pC68athn_}SP!~>RucQnbLt>;5XOpJyQ@;GE7A|{?$f#C~kH>|My
z3rU~b?xzq^^oDrfT{R-^rQ`y^p8~X7sGhtDiPS0W0j18yHCkQnXl)2O%IQFg@jSLT
zt%ID8M2fJI5N(ZnEm5#zO`zs$ld%rH6#3&b==8|Cl(Dff5^De;!$XFG
zQ0MlcL1hKVOc2x&Af5w@*#{k=GJYL|btLwNhLv8k=jNsuxD@D#&q6@BtOzRQN8bWs
zUYz#Q-OCHDqClA@*vh!g9|aQ!rwiso>+c_6&*e>rSfC%xaAf(*(KR$Su7I2(HS$Sp
zPxyEhh8y}LLhtdKWrBnZJlh@ew2GFN)(Q{&3Ab?bhG(O!
zG8-~BH-wSzgxi~TjFD#qCI6#t!Dt>H3o8w`=kZ1WG&UGQ%>mg^0P{*nNr?^P`%tfe
z#9vOL889?-KS8$xDhPDafODbmA`sbTHaIwFc?Ojuke@=Ic3ftS;*jT)^wYB8*bpF4-Mn(ZaL1+yP
z4VYn_U~+VHe*TP(fNPyABQGxxY7(70u9|5!lT%Zbb2|XME`239lcFs629}o@d|NX<
zex%UQ)Pw{hl&%=qPN$fkkdQ#k5Z|Y?mvSlM$+k#arp#*Z?hehth2%eWcXpQSg^FDJ
zLX9dK8=q$>XI51uD6^_@W3!S*+1T0|kzS|M`c;m_^?1>%gM=AO5Zsryi
zdd;d5af9OG;sBSL;%E4@od0f3zdkzRO-)TD50wIg(v_7Jb#t-W+S-y>z8?EKtme{Dv7w?pXU-C
zxTiUbynOYF7(z$(?%=8;tcdxAg*zBQ?#=p+^;A<+Q>HE}>-qwMf|^&%e}S?^*70zZKFa$R!~$GCYh2F)mHzO_es-+Q9TeRdS(8
z`Ye@=RkkJI4Nw36K39OGzrE16l@&&7Yil7YJis>-#4&y4*_i}q%!*1%5%M{@y1L4m
zn!SsQbiBO0d;$X3ySe=aic<6p3?GimSqKR$KW7pU5
Kd=aN05FcD3-R~YaFeJ4aEFT=DjunC)wwtbI
zxBv`fXC)p3zH@9O#J#`;PNFIL!9&l-5%Gkkye)QN{G
zfB@T!%S4%E3pEZ&U>xN!EGu(G>Xt^uu3#y&3ZJk5P-U=z%10`L_~NHtg{NKZVfA1h
zKZ?Ocgs|f3FS_2LOr1tIi?R&GSw^LxC^Aat7oW1FW75RuA|C@M2%{fXVF1FYUa!
zQh8^I+Xt=vX>H>_eK5Z^1R)iq8rE+`2UW(xGOWwoog^7ug@=c~1w}vr_BpA*SW|1H
zh=qRh>I~aH`6NF@&i=*Sis%hD*M(3$#(NV?=Me5QnKaTPaOfF5xkzx~WVyeogmhF3
zX3aJ}m)8PfQ5`8&qRC7cn47BukZI*u$}jB99rnDt8Uc()`c@)ot?HCk4m;j``r>0j
zpy23dvD-CtxPp7q#6Vd26)w1OP{}&DM&LqieGLQy}v?gIW}T(GgMXl
z+Kk`edIoJjdx&`L)lcd7D{`~w;2|v(6;CfWP}dSc9y(wgmqI{k=y?zi2>3e)cpE^v
zn<*lz`U0=WPBaUQUGHzv2fHtd%lLCwa|h+r{)t~Rwja|lFbh?KSiUf=KGjGmQ@m(!
zxkawv+tEi6JQI_>@MZeZiEqUPPRG+;XZ?NM-@SN{^dkl$GQ$PUphQQ5tZo*Nh@R+|
zfS3{u^QKrOXEe(BwWHjzb7~5d2
zB6|R{uScm(+C@OSuA#uez?Snmd5C)5vQ$wBl>Bq?&2@uHt%$AV`~N$?++bRWKiyXn
z@E?8|Y`x^oBiiot&4pE+?a*8()o;1V-bJ}i9jMx9$&z?8TYK&S02q{+K*cZL1l$ZV
zImq>@T{hC(x#66EoM)dADIO0MF1N>-mg<*B`urEaJdn^V^eAuyn~>^l9k689n8}GK
zL5Qd%gFn=>G949;i!B;ayiP5Mr8Sc87{sgMFmvOD1m_1;2~lq!<)Ni4_ip=jdOXS;
zP1wR3cyZ{=3Pw*q-92+hEyTY8j*$Tv2;E6TJ=_hF>0CJN!L>`54i7=x1^3_eSWeuo
zzNZGMJK{Y|cs>0;OLv|DYL$y+UCdih2Q)pO&L2pqw+iTg^2>z}m7QL<8dpt#nF2sl
zz!=JJ`_Pc%sOi0n73Z#>&?IGNu_2qCm(5~mUf(@oFiNP)b(oTMhLDZry4e+1>oii{*B_PlOUMmJn84_P#mz>
z;WK_Jbchu=QZiHFw&@TRC7LQ}11jfSyumHwt()4U=)GaKTyrL{8*1Ph^7yfH<=03x
zFU8N-ub#PQ&H>lgzenLjp24spC0+vL(zE-K>6qgq6FiQ}Na1hXS>4(!xk?OWp3@ao
zw8t;PhG21olL-=XxnQlRWz&L!?PIW8Uxc2ZRQD$!2;F@H|2(yuJv-0k`Z5iLv9cOEcGYidHiLPsTIk;ZVsE$N2$ZW%fyU}nAiLFKaajUX2El2%?B{xw
z_moK%;A1llxzi)&Tt^AbUaUTOA^@{Q@pP@3FsRo~CkaAVO!>U>mmE%|hQB>oj|&i$MEXw&lc#Vt3(%MUXQIf5>j
ztY?ve-@vkQZ1Mn*Q{+EnBlva2;fYtK%jza2!La7J`vTX6J^xgWo%8Pcd@AT2lF|O6
zVgFnwjRDZ(I1?!IbmRV?vv#VgjX0ph7hyWf0rYOea2$Lb$G6wfS|l;oGp0x?P|L&7
zx`0<-xS|}L5x4Q$Fzw8GmeY!by?z^PWh-2lm@5?mlo=Z4mcsAI8rkYk=8rY*KREre
zAm5|Z3~w$w;iy69OJ#LY7Jkr#nVJW5%f00HJ7DDZ6m!%_FUPqP(_@~8!8uh~BN
zk@I$ET5gMxC5Mk`hdjY6i-AW6**wfz0yYp?$&Sk5MTXS_e0Ht{UZN3`$P;UJun%82
zm64MZup#h?o0UFWG=oy@l@Z=BGee4|K$A2Rip|!Kj^YZG^Yzo+x^DT=
z2+?&g8n+UFa5u;^2o&;3ON=Ns*sNncTCL`2DTAvh5ApV!H=@^EZLe(Q)-VH`?Ol-R
znl0;WQ2+$8iRHj&)-{B#3`=jja|gIFP@P0~lS65ijHct(xCyT&>ueVz(Jd~V0yY&<
zH4mokVZ8wN;l+W-9Dnx@>|Ez|TrZr40INzKn-b86zEGXVop4UI!F-H_ExB8$&r<{EbuQk1tcGsuxoHmd
zkU^cXf8SP`or6yaRIqoFJRzD3f}hbgye;&Dtt-5~GS%!2)^{l<_q!+Z-!AMzM~_ub
z-l(PdJ|6JwnygVK;htJ?;M_pjesnOO0=*3}q0DdOQqP(FGthuBUu1QJ@Nj%i%bdS{
zZFx?>?vs~GFNZ{qeA|K5MUBg-d3ENIizjh=}L=Qq>5RQq*Cf=Nr`p^m2Y5NN_HG>6->8ZAIrw2
z9kzwznIN5+_~T*zEC^sImlj>m2`OhN=zAj!26*nXskjL%5|CRV3_Ve?!opW%?!aPP6##ebNY$I59U=$U;&j`
zn)?PGtfsmdT>l!T6+-CV?DSC>V(FxrI1DqEVMtZ>$7B*LV2>_R54!4~Tgv%l16kuC
z`u=YZh?5jA>9T=E#~((pApWRjR%43Ozg}EI=O&*Eb^m@mkW-{UDQym%;)D*FzBLZw-)!k$Sf&Mas06M=jEfaxo
z%$vsSKS|eCPm&k^*>nmVl@@nnowZFr3$rK7rtTF#c438xAG?tuQ}BlCxz2|^lGv9P
z^7Zh7^RWRrWpXMZJjw^S1Mh(#uJa&>Jk910UdtxmcPTk!fa^;I{Xv?asIp83fa={gB9m)jf9
z9*wv1F7BhEru=rr?r&)w;>??v!XH~w-2G<6`58R(2
zrzgrD6&XqL`~jZRhj}+^CrZtk>h+w-*1fqrgxvH6c~c(njyyoWqKT^>u!w48Miutc7x
zRF-R*%qc}=-NL?Fl`)Y3<7&c&qa~Ej(|MHZz9XsA25{cs`pPlI>V5Z#Km$F%1nQ8=
z_E}bKFX&I{>-^9?9vn+Pragu^Y7YRS?;cqgd7Zk5f5lC>1`PEcaQ0E_A|a%}cmT9Z
z{#)~bP+)>nwZjofd~Uca`%J_x_PIVg*B$rF{aVh6$x14ybOQ{Gr5mrg^Ayy2^MB%Y
z+feBXRCUVHiDu_bSx}Ac5MBwI1L%SutqBtwQIZE^RG5r`nZe>-ho+~Fqn1y9(H?5pn+xmhwWT!lNgQ}Ad!lg+XAF@VQ6
z*$7;*fEalzi2a7%r;tMuV
zSsbsSUcS3L;c{#Qzhz|wH$bWnVO$~zChyrEsNjH4lD)O8U$E_W>74GSqA$5{cJ8)J
zW0iX5)|$I|cdBs*5&El;@Fvpkgp$r2nYW69Nyy-J=QBCnJjSO28UTn~P0TP02PK3A
zB9X|mYs5AM^zln{Lt8M#8P&N~gzl+^yY!%6jN_s8gGP|^HN2jUZ=dK(Lf2%@I!J!o
z>ee`I^uFXZcjFYQTR9Is7f1;K(l-zy*1eJZkb3DQZ`?7@6tBlqKd}$DnJJ-MT
zZTJR!eO9h}5x;LBmCcIFh9EOv<1I|1nuxrr5>UHh$NdKEM3hDe1UmNydQ%$jrgkDO
z*S7mn9)CTo!<_{~*M9R^?PbthrU$$L8x?KI4#%>ckneWua+))Hb_7j&Tj+&Qk-F>z
zBnU7v;vHkIJtufQr%Qg_ayvhL+v+{nDk9@>Q_c9p?i+GFER)Wn4{#-aB4ng1dP|tMzW>%apm@vn6;x)fTyQ6WJ`sV)F
z#3B(^>kiK(DUCJ`CW91v+>e)V;beGK`KYJ{to1&YBVwYJ#|q8AbBl=6`ypXots>du
zHP%6f35}o0W#JBO${OJ|z8!5J_hsQZ(RL(+@XwuVjTKN{H$YI^{}633Qr$?8N}=t5
zFFsrn^73zt3OVYwex3UMXD^(J?5xHshSGuglmtN3?9u@R4MFe
zUc#n?ShGFy`{;MbBF`SZL3;^*xHSx`!d~&Ve;TWZ3%m_U^kE?a5^I^v$QZXhyhu%prj%-*}JQ=f!|yfA$FVWH{eO02APO?o))^!FNJ&+wRZ;_eKU?MccD^aaU^J
zorST4I74JFqo2Q3;wG!PIkAyF!ZeNnj!IrxE9hSKSP=wCHq-$Yx>W1mka>oQ_;=^b
z4j@^u>81WX9izGIoiK;
z4Kd)29kz4#Ptwhhdu+zX0^-zl#6jO7Ef@$S$j{cm_L64Eot|q2mLbX@?YG1iWZwW#
z?XJA^FQB%u-WqrKhs?f(g%&W|n~-Ql^-g#_>TbJ%i3bw!mqNa05A{@@aw7Qdaz8f<
zQHdMJsNonz){zqEQA5H2gLiQmzecyQi0h1{8pP5FB0mglslh*Lqttq1KkV`&sJ74K
zal16m?s>JscUG^+(Lc}x8)sa%IiW}^K^lpZ89Cl}TggA}esFJM9CvJ6hm;)~E*8qS
zx>>t|g~8bXndO=}g@fRY+Nn5M%CZ^)Y^usZk*U*Disqen!gbKU0KmhJ-b?SZrrg<2
zy&O(iP-uugMz~mqIW|tf9upz=NPdvbAJR&=Q^!RfvuR3DWBUC!GGGhk^dHDl@$%FFL
za}8`{|JlJes-g{`1aFcs5*&07BoJH|5Q4+hmRpz>ZW0;!Hu#PKQ)edyfa-(&J~xAGkOf+picdbS16
z;2MA-o((c=B#QuSLEGr1iRG6hb;=$}3muJ<*ruXDKJY
zTu6bu&N#(o9_0fXD(eEuM;5_>J{Hf@NRMcG6BOe4>p`(`PpU?mPR(^Ar3Qry2aJ@*
zCBA&?L7YQc%5}OSR9L2qO6(+lw^qG^cqMr_^LiPF8?~>1XN|t&m`7ywRR3TCsd3JlLnY2*#&BZ#+V&?GKpcQo&q#tZ0)QDAQVTpD9}B
z*v!Y^)+C-ZCPGAhUEL{YxbjP)cbQ}Id&5D{sEBFxXqwE$c_
zhW|`FlA=5{RY@Vfq((ZkkdMkW5WuC~#+oj~Q9*MmPHa8=CZzkMc8}>56d!L@+MUE-
zU&B|gb;b(E9M$@zL$Eu=8nJ=b=sOX+iH4N+IgLV(uJ4^p|F4?T7np23WcEHf)Ia8y
zeUeW2Q{o1en`1~2-eTn(w_w07fdcax2_f&ca>@@~M9CJ`TlPWgyGAq!$T~FAgFD{+
z!cC*^bF&7iZB@)iZ+CwAXA6-uVbD2={sY~qSkb0NkZVxZ@TPj!I7W%K6i_uqq6u9
zQt{plQyjtoD-x7yuuX3NS}Vw}jcX!TY9Mfj6Uw*~9_5(VP6|le5xLtzCLq_5$t1pL
zGJChXH1}(Zmjz$RfjsrU(0lpv$Yyln5aNK5qz@9&WsdRz!{~SP#@xk*1(y@L{o@_mw89RkCpt42i#(xZ?kZJg-SJM=-;~>v{9>op
zT~$=R=n@(M=%GUy7eGNHSHJgFqy%}S+Tf0-GsE$E@A)ne9@XCc)_(#sd;QMO&c|b&
z{8X#)kkkps&f8gUuaS5SxN+d}xaZAWtH1D2c3j2x%9#QKZrQzRt-TjfMcC)3X3{i+dh7s
zusDHNrxZ-1TLCh=kvDs5vTO?OcrX!fb=G1Rek_^Jo{jw%b4`usn$E7=!+kC|heu^3
zLklnvCQ|_AHy)^?1tdx~N8vMLWuc)g{*=dk9JOe9Kp3SHuwIvi(ylkM7CCs+I7I=o
zJM>A<+)euZ52k-Fyv;nDxA!j_vGR=vzzX%wDzLDfAt%(wSS-ls3TKMw95uO;t#6)r
zrmvwKX$0`wo~hxG`|a0ho({NxnNMb$j@MV|)U!Z=S~`T^tQHPIoo?|dvF{dTKlGsS
z+n9Nzp%;HZLIonPJ7pa0$d3tn^x)DlRy6w!qoMGqNdlQ~V}wm%UzrsP#CJ~{0NP*I
zOg{ZoEmuO{ALkl6MFz3r=gsoKXULphRnv8gM`Z!n$u+q)LHib{;m1
zGj;%^(wc8UPE)!@g~Dc3Du-*HwcGo-bq!$>3);ugXSY?xgdLI%=3&AU@)W3D%jYx{
zV01Jvwxg-Q(UC|nS)RVikTld(xWRWS381rZ@Vo7?02Kh-QtdULb-=l86};<^?Hyu<
zXTtHnPXs;DKEdOm4`Feu52`ukZ=C}GlU6Z(dI*-I_aIJZ-dl%=`fG8&
zhxr*5s=WX((s6qXUR(XoAu@z?q*y#X^)`?j@rH|ttgX_#5
zRqW{R^6_~P!vFPkd7`ox{dTS3qs%e&!{@$nAz6&qWs$uUa$SU6>!@3DB-B7Z09%h`
z1vKLxP(}*U|>wAiE+RI+o?#ed(Y6KRJTmJ{E5$8u8s{tS1}h#&KKOg
zV&p}5fE`oiLw9Cnt}6tSSrESNtXZuP&6prNM}w@X@a(9n&FHD8$}vUf4~%#_GbaD<9Xh0xW1nRDnkPG6<0PI{GQPFPSq;d)$7s9K`1o$hEQUBX94
zDSH7XjWYzWP9~F)rcRNN!=rOXqvX%i-fn|9Be0pCTMcZQWk$%qj#+Yw3j#pNy3~hf
zqc#tkkSh7yUg+!DS|_uY8^y-0Eu^Pq^qcvtjKM&d+3+@-O1g%l>Q#s!guf>na?;IO
zHmN69;haXM3~T*)fCHi!cAwoqipqh7JQrM{l5QDwwkCgg?-K5XFZlUQ?nC2K8Rel2
znLkAC#S$_Nr
z#X22q#2j+DJJ!hdUpc$PUI(Pzbq8^En)9%gW7DK*LnlMax6Wn0pZqP)su{Awu%|1p
z%lOxILh3#erG%Ksc1)gW8uJFdlcwVfN^P?eD`Rw)R%v|Xw(gXcsALCtd4TN1laJZ?`oamgvkt~&?fzwL>j+txI|tt
znEz<3PXL%b&NpvYr#bh^|9A(BycfjwihBI74WzvG*(Vp`vNqyX!a{CnwCj^9Hsoa=
z&Jria;Yjq>wpGxtxwho&vlpY%)WQ;%8}EiTTjsrUY}ZwY)SYU(0DJF(Fj~A>dgn%1
z-g~$AiBAVU-nn%N7Az-#TN!a`sL9FO^_J`JGnb*7UWI+|zt+XETzdD;t>dH*o=GoO
zKi=(q2>TeGleD^d#IQWd`xxEc^$fs#?|cmV6rYs#e804J@CG;G)qt?}e(d)LpJ01W
z`#816Pgvfeq*kV~C$G297C36YtMu(JT}Sq6bgJ*~t}Z7@2;RCkKAu-ei~I9hig3sM
z=iuj}cDFnynS(HJ(w8-x@pkF9
zW#0Wo%fk=RFZ4+-Y{fH8^AO+KypTIS&txXLdG^&w%AOHCFhX-m8>1KORc{u?~-n
z2$8ZLkR--gC%@yqqVq5Qv;bkN^d#5B#)-gzYsQXsho45q84Fn@57b&-?eCtwy!>*{
zHx&0Nar~SOy6rdg8~J-NXY}#IIHa>5f@tP)fgu;>M5CI84enPk~aD_yjbhf
z1^*xq49Sl}#BOZv^-aVel6bzU43p9vG4exT
z{ZoD!miG4bj#N-tTB3Fu;d9D+KlIl&VebRHJ@jJH5c0J3ivne%`Q%S7`|pg8U!
zp_q#+7?ap$ehYHWFbQd-g->u19zVDwBndH4&RrXKB#%erI}1acQ^K5uyC;x$e$Xmi
zGQ3CfsOs=pZINNsL@(3WO~3HEd-*Lr7df7Vaz7I!TvcIf&Bn*`8-Jt4Xw!yNX)J6g
zAOP)jkA}-ai~419%G&I+MO+xq@s-GRU(d<)P1FBTAlHiI^~=TwScI4*Kz>FB`6v0v
z6g0feI?osBVk&>1QKYSt`N$-5d_9Jr)7|cX$N-~|<|yT-IX^X{oH7n0Ewb=;7SH%R
zjgrG(dFXlBIe|Y%n~zN}cWAxfyt$2Sz?F96jFRo_)6bGOor`4Rij#ko_I|l){KNhg
z2O3^d$XH17YDIDhmW2n9lmdb_S5TEJMdyZ!vs{X=1fY>Fw3KqZU2AYCKgr5ii!oH}
zHW6>FBeJ($#{VU}SJN8+#7-}yH0;oxXkEPkDi25~X$cVScvb=bQgL=6slvR(w^8H#
z=Zd>O6U%l=1Whj+?x0#(QF($@Cz{J^1B7E-3q)QkU2|vqdk^VgpU75T+4Lj%?S1~5
zgzAXytIn;}-{MPuPdLZ9qCe~K?LI?})?FiXC4IQBlBJU_J5e1}f2iSQOxkY=8{@1!
z6QBHU5*6ch1?zPUwP<@(mYUqj2EHQ&eyjq`xCZMxlQUlHTV9#|Oobznzwv9`@2yIS
zDY+*)TB*I$A`yi+e(5rsJQi#%nSS_f-mv6R(9zWU*RY7x==Nrd%mUVvRGq64))p
z_oc?;7s>)!6`IhvU4CV2rz$8A*Hz0|rNdWB)HT$`YYO3-)0>AqTG-8_jJ2B5uQpiM
zl{Wd|ZYr}IF$+KLu%sl)6$&-6k2kvEYQ46Rp3SwPQ4oHYLrr~UE&d*yC;Hmpzv9#|TBwSGq`nmUg|@q-Ok9A7;MbDu@(PMZ^DA|f
z&C?s61hm^Qs%$)B;TUetqTRna>|{Y$
z$WK^QIYl(@=u-CBvx|@2m~+JymDR+@)%ZL^Ioomk(S?`B@Sl!qIagP4V*DmsCBDzJ
zjr^m_XtEQz(Rp0E<5(BOxAPR$@l-bv3Y2qdF|$Q~N5VL}k(*(y+35R$6{1(-H)Z2_
z9m@dsu4C&;hI^2EnQou@ZUd#+cK!S(5^&V(#kpFCMZ%*k4%_Sm(n-Lb+p?Wfn^9(e
zmLzRi;`kyhXELJ4CR;T0{Epq{
zTtL~|tH1Zjw`*?pA&2OM)_ch9Y`N4R+)2M^n~I7y&JM3SNNhj9nz#5m?fzX7C9yv|
zC8(K&FQIk1?-;IHW3re!nYH&ThG1GZ;GbjO-UHNjHDK=OG5b&wZGm!VkiG1HTd1=61aBl%qg~e_}g;#S6@_&oy9fw)j%uz)}9Xdf(FZU2bU}3L=IZJ%x$LL
zmoanj9PbAMq~zUP`XBTc^;cGQ6%6)*Bi{Z#yaypY^afwrjeU6Oy4=om*6oV!Y!}o;
zb@;z8T;bUA%HJ8RZo=#XxI@=Y@y8h!979&8sUjG97o6RVj=vok?v~YDSc(5v+6mLT
z1lAkMZO0Fr!@1<|>n62}%phxB9<1*N2e~ka?~(EY_aRm&V|nz3+z3z*%OU&lLKju!
zHN%gOUavKJ?DNIr+#|zK(i
zzF-wqq(5o5&Qir)Te^GA$v*hr9yrY6P~3MK`G<3AM{Bwyxxl##-+R_Zvl}$wGxbt<
z!rN-JEO>fiI#jG-#DAnCK&SI}d)OJu#OMIZPNb(d%f4;++*{o#+hqP1e@5%hO!M?r
zHtlmIzDT*Q*E)4{nd5GSb9X33yTOfS7BheVS2vc+dU3+|
z*c78Mmbp83S$F&d(EhM%J~sAIyiT}H#Qe~D+`sR079hw*-7MeVvhdewvZk}{T}jf`
zI5D@FVKxYo17f_lDE7DVeMhH4Zu#ed&YvCp=aR?sttu+?NKt=;j}6|IYVR<3cVjZR
zTQ`M&??uyj3Ce4?f^f!gfYh*I%HhD}q~-oEwG++D;W|pUz2M7+8P`
z&K;jD!oChB4laAV6jW}2816+~Us-A!c#^{we`tj#ucpj(RLwsV?z*pZt)e2d|4LvU
zKIG+7^w)Y9!qe#>;om*{%3oQU^&Zdkmri6X0(XU7MV~e8EM0*mJpesK)a6&-s2)>E
z)lRY?hb#s(1CTnPcd$1RI?UJo@aCOSk?DukUA7O&T@V$slguf~Xvu7Ic)_gm31%Nx
zC%~%TIG#I`Z~fHUW3~Mp>gk!xx^vHy?_8q2#D^;+0`$RY@xINHTv~B;QXetHGk*ey1MQN
zNBLD3&YNzeA*9=>)Xi2an~|$rZ**;5oaJi`5kosa$iMN|{>S_JpROC%-bWK2@IR~E
z98(x5jV<1MP4M?ELlX1nV#S?gm1L7zCGQ=
zqGJO;HHYjQ+zw>Cx>+IL`aNf4yU*Nr(_k36uNEg6u7s_~09)I2^Bv{;V{?#kk
zmD96Giu%VslMj}45H5FM@M37y&mDE1pkq2{6W`qy-+^&U%Ga6?2hsdKc5Ga=oa~*z
zKz@o^P2i+C+yM@Wwh8l(vfF-nS-LHF
zsF}voD%{Np0H4*YqJrk|*heU-TOSbiyafA~$H-s${l0$Czi%wCdP~C)s0Fvx;4R}(
z&_g7j=swOC&^^h=@#!!`mKSFuK5cyK46ti@8vq>XBS8lB2;?_66)*(E`&pS6VgHg(
zIW+rUg!#==>161~1l0RAInEH_@Nl-L`Js^)B7oe@Wo5pn`OpqJm$yL}^^u$_>G|n6
z%9ooz#CyN0&I5f8Ay*#CZ8v|p@nZej!yg;%-+X(NnR&}UB@oVZa|a5&EvMR=aJ?7
zM&hGO9Mfv7P+@M@a)F&Rl_(vywfanr(Hd})@E{ld#ecc{c$>+~=ih=l@jk<8*1h{)
zH3-%AEoJ|RIA;icgJ8}?0**eo^C%My&QJz
z@P$;=7nii=lhb`MF$GuSR(&sA_!In_m69{}YB}Z2Kkf}BBG`WT7O@TP{q7|2$>7m-
z5UNDEvn94{ul~iz8D5|wyY^Ns+p`zp5?$o}yl@p#ePaunHV?NwX1_K3ES68KQkyalVLGx8%5sdzuCLS4D5dRsKCgFfPSBEs@HTxyA-_S>z?N+V#=?4DGXBWz~>yA+4r
zN#Q|RYs{&s`QhpK#*PO|QYbYu6VY!aQpE+47PqX2t<06=G`{fLN~h4KZ{D{!-hRX{
z2WeO=UB5f?*hWF_@goV%2&rhpbLR4QXFJ5?ZY)}|sw3>rHoW0<=JN^8y2bORr^pai
zS#8z(QNqFrZ=Ry}-PHg3>8EW!C8XvSgFfwd-8y~lMvL4{#%Z(K)$nAl7g3Vdap$Nf
zBc1yV45vz8bUeAOzTWjc?;h5^YXhw&`n&4#qg1Z%EAFoC(0h`ZCv|VE=ZcFx!ya%~
zth1-UbnknQ=qE$*TlaepR(j*-8j(p4O5rm8m+rd)wn&(kJl@o>s5J
z>?$X#!1-vrgTn*FtC>A!RsQ7&sjv|{B@0dgcx3c9r{u3aDi4zehmM2)JX_FtHSlu!
zxK=fB+BxoT%*v>bM(p#?$LeBNqaFA4|%(bz|$I+FR{Qbq-juNAr>u-fVzU)2x*Z;)T
z8y)f7wdvv?Ry*=(*Kw&Q6mGzqcS0a8zN128#vqTrkOiB%OcD7wc>@_KMp0b&i0J%LdQTN7Y=}OG;dFHnz-cS_OX~u@3mv!$N
z9-9J@BPY5=4!1W&r54Ci+$=!fJ>TQ4nyEhAMkv;RM(qoS36_8vxEi3F=uA;yXDz_&
zxE?>lgr;=LQB@E-K$JYSV|#Y(i|B89x(-)1%*y_#*CfZ~DTg{$IGb(tu^R?$$XpI>y4?a`
z=VK6s%?*c0hCc&XxHloXDS@uSk0*@V_(A>vAPJA0KC23bVPuFdvx&|p7rOG}^pE;J
z!#RM?T3&g7Jd6kDg6_n!xQ_&RJu-6AEwTsI8WDZ+?o;c)002Y>dBRcxSQS=9
z8Bkd9G{ul!3$}9Gh`1q#L$%PcX3?O~+j>;KPBaV4!pE4|N{Npfv21E)r1A-%aBBK39ib`rY8RrK|ODQCbmz?p}agZhj!`q7>gy2@)9jLFa5zjzABr
zfugXC=hfk9$NyC9*VGPuOzWhbO!i!nkI!OB52wMnfw_8@u^P_LaWDHX@DL)#^wwsm
zxAmAiecJc+@v2^m`l);+*ghf6uHc+MoBeK>hgxf$lwvcmj9S(3SNLKjKr`OzihB*H}{g
z3(W+9i;7D1qA-3%!u|QYi_zD$>Nhsm$`?zwdW`brceKL#mKtm(3cvP);g03Y?TX(b
zD}!E3tJyDi_yI{X71o#~MzQayj6Yh+O6J
zF`N1%4f##vh|BZR(#Z6>5FenRcK8L`ese1~`CM`3lIi*An+tz8!rOl@q{iOuSXcOz
z&|fhWdhsr8Dfg41<^47Pd@VXl$nIYK^EI|dapX(Mufx<<7q)78MhG{6*8jZ1E!6`3oVCps8_A;dWMEZ=@d}NREo8p8=e-A=qOo$PrP+u-<8)rcUF*Qr^zj;cA;Qx!K+~ld|In{?PQ}$YDwk!XI)JA#C)o8Li
z!OAt-p8kiYjM--TJ5Vgj!JU-ojoOt@?+(3fPSjvC%l+$x&
z{mPwdgO~X(56X6job509{Hwa}3f8@VBAs)@Q+9feLA@N%nLi?Tn(OXMh_0&a2R`Jk
zHbL+Hy7TE3-L%GSpkzIyEhtsMy6n!67jtKROw9~ddd0k1xgB&hzREo!-Sh7M;wigM
zKB%dAle_ZYJY~J_O46%#G}prihll@k*qKC|!MIoC|KcePKG>b-1CTfmn#4~gOX^qA
z%>VF|J~$fSvTev`PBydS2WrbkvK4P+dIsQQ{pWeqr~F^%q0Yz@Wb%#46wnYhnGKh<
z7PqnaW_ZDcG+e&FL?#hxzD^{rO-SaO9BX}3%AIw9%Q|VXU0-&xbXy`v6(1p8Y8tuI
zRC)fqj8vArg==$(=DSSq%CPU|C25+Y$`PpAzt(_7P8M(>TW2w#@=d@;csEkX0Xe*eX$f{YhYuVRF^y{F56qbb^P}
z*c80bd@j(pxECKJ#{sM~m}qU>leFP1Vr`Ybk}vVwDYxqU`wuQz9E?YLzW{m$Y$Q>}
z@5;-IdOL;GzV|n=&&UnDCn7l<1MGE6IeZ_UoU#-u{!Eqf=iymcxkDv7>4mw{3i;)ubm;Rm>r6Eh56^(!Ue+@z%oLCGo3h)3VUQfe0f
zMB$Hfc3+3SDYBDw2~T?V{~FWb(ctvM}T2<
zK!(?PeQYMN_xhb_hs1!FLbG12)a|WPV9Gk}<3xep*mi!=h$PU)QK#2;%-&VsO8g|!
zq7YKY;b~<|apE`bOZ#c7T;;D5au+vD&fGDxms!i#?KZx`B4Tw597sN)RozY)4>Zfu*}A+!lHn^EI;L+{d~<3B7E#}ZdQXm
zNY0ce(C(;ju#Ln)g(kYg%XvJp>)Y=P;=7z3KAT<7{>I@U*=YL9M>+dthnE{Kc=)z1
z?Q(QUJ~GW-Wx{GyxE^Te^I*tR<2PF|vRV
zoi&DS$TOA>0i>YhY?~ewP?kz$9xb{BwhoE7esCfEczS;B$sI9KU!#A|t&JbY4s$sz
z^HZ@9$>n0R&Om$n+i6d%6B@6-ofmkI>2{;gJ+Y67$^uYMKuoWUN~~Kt<hH~YX_NC^ZtdSi%Sn|xTAZgdJ1`@)X*!L01OEK&7YyIfITo`Xu#~fD%#rda
zR?dePfcUQl#LwIo0JFC6Z$v9iABp@Ki8Ik$R;0-K_OeO0-cXQlOs^QiVMv@7?hKKN
zc?b|pgaCG6AQyfCoiICzP$|v6r_;nAF#>ngFvB#*vgqyCW(1kzfgUFI%savUALrgl
z-IkI1da*3qSoX*P0H|1*I;btPXD3$Sop>f?QNe$R3#bLj4qTnNvG^ndYgK@?!{xfI
zfWpUbz++76UTD_7D5Ql4J=)Tp@O<~4)V3MKz~DHP9fw$=v8>i-7yFH^7mgaM*nl27
zQ+Ne{H~Mc}T(lh!$8}gJO?;qE=te#l^1K|9^*NR>{UoF5%4Z8fUzOXjG8Tu#1>Qz%
zf%qS6WzEMRS()V+8!{l|X*|LkfPmyKbr&D`dGO$co>cXG)+)yTC}NF}LuW$yP(
zq`6a+TuLf!NJyeolnNnArBdnk_1o{9-#Nd3VCS=)&(7!by1bu{GG}CLdAwyQqXzWw#%ayu_d#w3-bJ-)x#K=%qgjLt
zL~W=Dv5yZSqzKsB@ybAR#`-3gWrpd$fAfxx&h|PPgVp5>?jy*D*IzP@VBgBXT=5pz
zZ^x_~ca$k?*HeVL2q8yJ<04$#921}?-~g8a^Dlt9W1LL~;@Znda>UgA*N$_mcl>cV
zs~CRveFUEJHRg!6mSCHLPs2_s9b#(=XNZxegu}BEfU{zZ-p|vKI;UKto#y0qborX!
zeqy*#XhkE&wjDxTVAjZU^MZ}sausH5hvQASRA|m-hky>yJ)R7J`5=aOD)D`+Ju|FlI4IvsROKS}C
zM)=(ufzc`H(wm7I{QX!LKIaJEPA)Z>O4voQ`64l9VxT?mhO@D_dpk#!{@BuWSa+K`Jk;&A*E!3@|ZT}(<@+zWng
zxm7;AkY^n%`-8`mZ^9~4q1)TQU=Sq3RCc=n;wq7Q8tjQNi&|htg}Wf%APWE2-So+W
z&Yd1U4hx_|^aS9UvV2`u?9Od&^;5C}$XS)dBXLhGQst1Q47feJpjPhap8e_uHH>YW
z;-9CxII93DhXiVbD6x(g21tPU&_Dr1dltkLNFZiGQ8!%T19mjllN#hBQ<8IJ!Zo&8
zV73B)Ay9l4C_o=8Fb~Q3NQvz03vXyt+wO+sm?B>2Vy+27P|JDxZ6Ky8s?$_r8wU0m
zSIWM(2YjEsgM?Kj$?Eih4NZ}TvqdH+&y};o5k#0+^kWy4voVN~{d-_@M*@TpMN`DB
z0;EX-)Q=JMJs`cgo_Ktl?CxZZYf7>XWT?$nOsXbkzZT|(UOAIi(f&(0Lr>W`2H{BN
ziQ5IX3>exM7BUMG`=G}OupJ37)4E*O#TYWyU?wwgV(9QESIp>UQ-xTPiG^qOD#<3g
zZru%$*UgM*sxKXxlh`44{xDF3nEdDjaR&gJUM98;pvKRS5JIqro%m~37RtVCD*$4c
zAQ91-W9p;#?VYwX6b$OOJ~
zkOU|dI?cPF$c%hx8TfMe%-0aiUR+4zrJXcDE<+PD8&_vstVtX>DJQC5#G)1&EmL%z
z98kc}xxIkE2MmgHoQ;KzoP5b<{&lhJ*2ZcFHk{lXY}ho*{i(}MJ5VaNlccb*INxJs
z%b0cnG922(LdkN5{jE?|;Ri4|`gM6(>IddIVY2Dy=EiWuWtqA1xoJ$OK89P+sPVk&
za*yllZ47uSNe_t+Q)!{VKe5kS`q005H
zePzvVkFVSe?vJ&tUa`a-PK;rEBg
z*1)fRO=?Z=tR_6otJkpma{$x!{(Nr_M&u)L1_OP4A}YDt2yw7&(F~O9FRK=;t2Tt8
zr|(#I#;0E|nA3JL?M&}{kMSp8K_^0eHlHCW;5fP!ER@=$rSgYS~>cHHelkv866{^3dy%0ilZ4Z3ezh{E_y}^-i>}M06X}
z>LA8N2(vkeF^}!~nRTNG)Ezr@qyF0s)Mam{4{SMf#g9mS^q;F<+b^Gbk8w|cu0^#}
z->54-(Z#ROI&lzl@nGngXVpWYH@3Q6?|q3K1U#O)W3G5$f*B`#ZH{xE->!WiTNPM)
zl~o(kf4=Jvr*pSQPLpH2rbbCK_Wow5dpbI{rlxy`FFb((GmIhm9!P{#TY@~82OlKA
zsR(?DyKV01S9a=7O{mvGWa-U6SK}9hOt&}x2aUg%<>2xYs+3rMO$nJV>OT)y_+|hH=;q|2E`JI{G*n-3b7_WK7a3OGbBXCZKl_*q=2q(Fqr>&7b!Dl^Vi`N^QB%*E;t5ubgSjB@r>SCykdJ90>#EJoN`f&;=Lb0B`|7y
zFWt_pxqb4dhpVdmAys`#cSntI9l}?U_Z`BPo@S%MM;nG-88$7cGq4a$dXP^|`6wm;
z0qkc;h!L3?A9SNBCQc9{ZPr@do@aErIjFVs_XE-UxC3mX9R=-!>dfoA?I$`?U7W=R
zsbHsn0esIIwA{~GIt?FtOiQey;7=6h2j@w=vbTx2;v}TgQ;}YgyLED_CfS=k><76<%)-VpHB-
zw;PA52qgBmfovJz6RQ$u=x9Uz7yFDbc0LJ*$?)2OdE>>#5lJ8%ld`2@%A!hbYt`Fr
zpRm4C!BB(C=DM$8@hxxfU{Wh#dxQ{~H9%z+WXAw|&O#O+W`i~ET|&nNVPGcXke!?K
znXyICioR6s49sWk-JelN8hKZ`#ItqwK$n-SWp+4kbTBKaDCThMkuT@H6|V7duQiw_
z^1YzyWTS
z%gTC0Rjse6Ox$~A`~J0gY>JUr;$iH+A-TR?(#~K_Hl>io1maBeo-Sqls7``O=
z2y1m$tyR9G^=YRjHr-$Bgx!X^GoWBIiA8Dh59FWr@ve33zfoe+xB6dN|vyvhjeFFqK{x6R-JHcg({ctg6U$;B$Rba
z0iI-|op+DM190aZ&o+(agsrd|I-)Id^&JVrO9)xq^Fp{JzvcMg&+~hvFaCJu-j~je
zCCR>a)5e*hVNWjg1PY;cLTIp<-UZ_J8S&elzl$p|O$^+m2FVq|OT00b+;S6)bI|O@
zL$@zR=64S5l#RUotMcmGm#tpe=4*DYB1ciuv)DXy(u(&Q%x`mTk5o0XLVRiibMMAa
zOnHq&mN=A;{zXRPQ(}JFUBmVVkA6J7%CD07$T|0jyZUW!Vi}NFKOzSJ?UJg&Z2}xu
z3WU>-T@n?hd!S^KW5>fwbJQ#X-Ije9T#KZ$ac+KXypdwAqc&>Ica;=4eVX0#i;N&I)`B4R3zyr&+Na_{Cr@;WKi6byrd_&
zuRT(F2MWv1eEvf6fLFfO1KIXRYwfw4SGCkT+8ax(*L^(Qbn9^rZ>@-()uhu99D`(9
zj3sXa{CTx%`%vZ-yEW6+$?es&YnsC)=Iegdm;9S8Shv^X^h|u`yZpj4T9bY2mG1;R
zD1>V3j|6%2wV}VGi1G~k1t=Mn=Tnk(B_~afq-;Mbe4Ar@sck;X7?@=ju#SJx3k9da>|SNCJ^Y1B=PVGwW5K1
z+e;WyJ1e%?soKu2OP&;3+v7Uhob&Y18#=n-X7n52+vA2b73%fs6425z^6HgtmWKLZ
zN_ciU5UKo<1T3yfa1#=THp>FiGNUm&W()c*9s9Kw`=U2^>E`Q;9}gz`zEbXa7=7c7
zm1G?v9xc=lz3hiij@Y4!}`DCIt{==s^t;g9kwIpbitD4V?2l2jliO
zeU?$XwQ$Week7m#etN*r>7QE$hwNxs?(6A2zWLJk+0oPXr@yo3
zKawuUx1ah~QFp#KEu)>!%+UGmuijxpJ6)+#*~XMg)8CDX<2znDao(;HgbqeL_yYhY
zjwM;TcpDYxgi_lyZ2hMFq2hfAr{L?~azFc+QYy|3{jBiPxQ~h6rNs&wqFWKEsEu)otB&#*FiyuBAJug-`-{g*OksY<0>fOj4&uTrW^4=ETCi$gh
zpN5{>ze@ybgW0Ad^nw>s<KScI^1|*5p_muOb)!#aoY@D@HI39c_iXG|JUQH
zpR1XPhxNRJ^dh#qy
zb`!E8NQGB#dk3rwq$bY%*}i`cA?GwAmC*5G#B<3?PA_Ufq`EwN#n*mP+!f;#c73uHwsQE#&wpo~uu<5_jacc`
z7}$0P!qzsjg8TCB%cj5?jm0yV;hO``cfgjzS4w4fyc?*)uU=~HGU}U|J~&Q2*;jsf
z{Daz)h9lMy(kksfovea)WB4CrWoymXEOOoSpkcCh@dv}jOT|Lb!1cr%_6eJ3?Qfd@
zf{$@5`rwBYIB0-T&p+>ah*Qg-Ror(`MAInYWqg;F}=yMZq$gk?yA%2-J5eG
zZ7`xW%G}0*|C&-=DqZc^-?n!3joac2V+q@{M&CX^uLntUyE(Va6JL;^f6$3@Hv{d7
zD}tbZS-3|&_$h^1$00gsLcj7p%
z$K8Ll|A}{x&_=aBb=bgMQ+0^EaB`WkKTAE#55@o3HTZUGa_<}e8=U)pdDoAn3~z~<
z=8E>Z{MecNXG-rLT{3Id;%@3Q@2ujjs(a>JTR)hbz4iS@*~znSeH^V;H`7d`+-`n$
z%|8-42V080f9JtB72G9sP@42F1D%Yk81TO<>2lS9FcRdv_3VDWWE+Hh0WG>(|ke
z^Bd?tAL^&WFU%lzoQl|*0kG-25Jey$6kvoh%4!(4&}(_i-%2ck^?52;ANKb?BHyXw
zt5g@LNObBx)zoqNV7~O2$65xP5^m;@ltN>62M~cP>B)V
zF;O92miL?_J5@{F7c&tzITVjs4o9{ziRV=Btw><<}^+r29Q~BZlAP9nV`H25AK&Z_HWu
zhfj*!3_HWawgJ|j16qV9L^cJ0^OkKlxpav2GL+N_u^%#+SQCq5-6p=(`@?U#B%9rR
zFcfO&^+dH=ChI|Sw!D12jC`%+=#GLkUZcb+dWk%_&6{YK7kJQzaPxH`8mhF8Z%gkaqjBV%Aa*B>IQ3#
zgTS$mAS4E)8}ww#y)f1h=-v*vvgMM~WAS34^6vX}grUf_v`MW@fK0n4f*9dng(5dq
zFP0~b>!Y&}@|nn1TFm)Yv^-LLS6fXn#PphsIQ?`STw=hB@X-c@s0@UC(}+m@fOX3?
z_0cu^Uu)NwRf}nI7dCI^Tzu8->kL&;E8UV7GLC+H;VirBBEe6sb6oRIr^7>}`YOvK
z86ZWmEXe+k^bj&0Z1Llm`^|Maxj|!vtgyB1S3>)bqsZFefiSai#gZrYm1)j?=cL@P
z5R8z*nO(C&tSJUU^nu)cucjpg6A6YuO1DiLhX@7eLv3HfSaGX770k1A)k0Ntz#$cv
zW^$)6<$ASGfQaTd0F2g`oI@{o147R3aaKAny{Mf1t#~rNyp@K5c)gm4_jq>5pxW~z
zdRHO888dkDj+VBXq-yy7O?YL2y(XBql=QIfSY1Eh+3=1mTpiUmwG!pyD^#8(c>?3mP7Lkz@|+@7p$k-+E~IbQ=7T5
zLv>CS%>s|7-xUY%Ap4$fe_k4B>YF{7jBrO#3lS_iC}XRSc9*c_!tAzLQeHCH?uSk0
z{MNk@H$65Fyy}a6jm75EXW_t5C>MaaE^^3y
zPbJ~aSM75LHSheZ2zx0x>NWvC1nXioy|UFnM)OBgR<>RxIGHZ9mQ>ZqtMb&aUCvrL
zc>h@wm|DN2%>UD)A&1$^!s-&j>Z=sxm`r9zp`5wa)0X5M*VsWSZPYvJz5
zT-T`K_Lfs6WxNMJhZ*t;*c)C-4Z^Kwi)zX{FpvSXRY&;WCieMCIu~QKnG$Dvt+bZd
zseVYxd2IYmS<~~Y%QMKwNUzeV+t#Qv2Qs0D5%Sj~FvDFB{&=>2B|V-fJ>hQmXvXb`
zYGK4IJZvq%p1?+)2M?E5TE^}tw!jja!vH#1hg56!AHu2wY&QN>#&hqGeds)I$4xC4
z$`~S4eIZ=bbIqV&-U9#0Yu}v@D!cwGh?q4E!(hw_9C8ZN?e>0g-bBI|*ayn_&+kDy
zmykCvE5{s-oc}6&2bX!XbCJArez$|tsdW^$(C(%PMInO*@
z;X#Zu6LjAFcE#xghMpj1J^YG%*%GeKe(^iOpQt+VlnQ>_4IX1uYi30gh7m@LI|ftD
zv*_ksD=Jsl1G(eiVgsJZTE)W;rKI0CHsn?+QzGDhV@;<8_ODek<70GC(G9dVw`R7*
zQuw|hXuaMPYfW<>W;w>#*Vln<=~G5oTuxX&gl
zJ&hx`+2&XTfoRkH@-Zgk*aC$iwz?3qUC558g#-bZ$WxFUjTc3SDYN)}`FS6|$EtL0
z#olv%UV0|;^~rZ0*@6A!$zB1^a_t>~YUq(!)A&Ofu^=FLO(8`b
zxx=ta2`Nm-BPB=|J{`)Snf=&##NDQ|sUiQt1%R8~pG&cI`B2*0y+&oAW=gh?t(8cCDp
zlCS5iSzbf$Q0LA|Z(?rGt)b&CV~@1S9=X2>y7=(>z04)2N%^~;n
z*tR^&B?N@PW6q3TcHQAA9xFc?oM90@d^w*V
zvi`MCO8Qu?wm9@pCv??8+uM_Pw2GdX5qmViXt1)4OC__k1@3MC0u!pa{L>JZE?B?|
zju`+AENP(Np%gsCfx(I9A5E$OTW#QK5(9`Bki-;#odP5hTGrW2}6HF^~HR5tOo&6MGVx1ttoL
zMcu3`C#)v6-rhX_HJb19+*pzgA_^XmX=
zxI{mwJ$~hD6m^S(tO6tMo6cCJ?TN2xadU2uD!q%KQlZ)&3IMrK$LM|XLK$aYFJ~1@
zSSYuU={TT0EbkeVQ)Rq3d~`(?*pYaBZ)T1E9L^!|A{elEI`3tWy7E=){WZj!LJNqT
zar}nq{AQKg-}yA~WNc}TtIJO5k*ylf>-N>*K?0q+J*Fu~Qx9-s^QpSY4&TS&0%-;*
zW=UUizj=cEoxt8zuhk^8w`IZ%2@}I7+rBQ0lx;uu7r*qas_-&RI#fw>*9%({$dJCR
z1{SPNrrSVtB=LITeZ7|ZwCww9Q}k;5Jo;xF>bjbXxFHH7yszkuj8t~
zR;3LB2kQ_V=7F-+dF2RmxQFu&j#}Io7|tmimy(F5*FYm~*Il3by_}Z0tsMH6a3?z)`nH9l=x<9&vWYv!E!F&aoe}aBVD-4K%
zv-bTN&J+I@JALv66(
zwHjTr7_1nht`sm3a=6><9z6R@3?G~SWex<9jt7Jwbvh`{BNTpIBY8?cL$C2ws>ec+
zLFR#vyMud57X4&O^{0=eolcnu3rfaH;O&3}M=Bp+xT<+2zkBO?cm=DeQB?`{FzUo4
zWyQ?g2FTksVTRe2WnIy4B4F@9b&b@EkFu~3)rV`nLpS(ztjB{wX=Hf_Bpaf@S+!44JJ(fFmL#ESJ}T4
zzOtb_&^@JiAyc_ERO)0Q?*Jfhszzn5#ZzmwRv$Rp`Lzr<9(Ryp;61}epF|$~taY?R
z$NOZV%y!GzZJ%yhWC)HGM`>*Av{Agb$9?b|AH6sF={T6rI&8)
zUGW!uu=RRh*CecN8K)opaK_1QpV|v#U+t}MDp6xDq>~PLs!{g2q
zA8#7#x>@x*{SDO1C+AKSX4OT;pv2?w*eG3KJX|uBM^%npu4rp^)wc=H`s?7j?Pipa
zy)$jTbckF3J=a}N2RifcxVeo{XcYJU0k-mhfc-mcK`y?@BR{@L)&~G^Rl(|NL#7f&
zbXcyzfSaNzGjmH$thD#bzJcHj8tx3{xcB)BE_}p2C-ZjK5LHxyKELRg=*X#LQI$)4
zEeLH*Mv_2va(&JjcEV_TC$^hGi?c*1h>l8X8%q7_Sho3J4ofCG6s?9T#Zmhr3vT1G
zG&C)HX_s0G2g4#qdDJVP?+mzFZI6&Wnq)6?Z2&pR_wupov+
znkz!PC2$LMYF;jo?&zdXBsG$&C2o-#x8RaEjjBZXRlR{rp~UF
z#DJyEFMywuOSSaN4dI1|f6WqZ=P(%C_tnN&b?=7h3(7iB6MFTCl2ro4oM0M{i0uD9
zWnrUkMv=T6sSWVMovm*B>z?@HrF|h{a#6VHrLkQ*b~jT$NH;LX)+lp{&C3|xUc{+c
z!h&Q{8CTOML<$~zGI_E@xQy#lWTz|7%3;E~z_UJGUOO|E6uQmzw^Xzn%g5U!V*F;&
zkH!=!@o|ooq6^_k+OgX;Wd{o6xEobmjmiRItWd}*Y>)Ka>$>awWkHRK58n$
zoYI3vMrl9prjdphH|{l}^r&VYmtP$TK)HAKA^*i{j*%U-w0uu0%E{J1w~jhXxwJ9y
z&-_%d)iK%k-68o_zUgfT=FeWSKYa2X5tcDk-Rv9dpYG$Tau%*_i|iwowEe++IDDh;
zwflH-K>M@G&L2AKyAUTrUxs@`)*?3-Z7Sq>vn(u$Cg+mix=SXz94L|l_Gvn49FW5o
z^5Cdn>k!o*4A&%f8Fk4i$ETIA4cC2VUFG+<$UJtAedhQs$CC-ZCO7Z>2+NQCEc@jI
zXqK6s*09~vhl%31WpWDSfpF`$3OnlLy<&+P6?DhkY`>6A&wF*|$I#FZM6U7QJR9xF
zz}JLTEoM5pFsUL*Gt-YV27LEbQ4h%Y;_8)hXqty~>zDE`#3W-hv26FyC9)(?tn6hO
zPVQ5R{GA;EkmW8ct+&=Ebt`8_AghopiN|QbJ_jTjL>`Vqe&ZViHIEo2TJ5WoT-k3v
z$v1s+B(dsk7|Phr;HDJ6^Io!saCH)&MoT
z>d(HCeG)N*@xsEHcxaThcFL|TZU?q~bk)>DdVZSi%C0#i-LYHaXu0*G^CVn-l&HJ_
z$VN|M#GZnN=(5(mId$DjUkk+`A4|
z5Oh0zZ(;c_()qfyt$BTl(oSfth2f)ne*ZvxEV&e!s@;$Ww*|-t92lY`FYYy+_=&w2**Zc}>?bQrDe?wahb(Aj(J%F6}G{gxS1Prd|?R!(dWAG+pZIl@)|WPu|Y
z{Wgt-7y|RtT>yS<_gEalw38`Wua{~ddn8kb7CsbwUky?Huy{4%b!M&o(l_nNV`T%?
zP@~v;q%>@q9xTg-b1_0f5esE&ydeOZ_ab8_N1p2z885F-J2c*NTn{
zHpf9Yp+YBXUW(9)W297q3JZ~brUX{NgZcn;(e1o_rWJ|fH2Aq{_Y^`2!AW$DgX|gj
zuZxCndk*&$xlG@O+mSEj4#l=)?B-Ehhgn9;9{*KJtK-?!b+FMwSPTay3!ifDzULS(
zRAqtZkpiNn2sA^+KJ`^pb=pM+;kupL>jNypD|QAWwP5h$4+lW}Y6E3eWoN{$f{4oT
zL6z&!ptRtf!P2LYfh2B`+9y|KyXQ)hqD$Hwo#nmMSt|8!pBo4;US}xNM9#zfgW)tB
zfjJw_QolXaLe?O4vU*KHr-mQ!D=D;(&Q7MYdnm89j#Y~^kfmBmeZHG-3|_xI1{zdW
z9yIK$)yx|<`dy{mHRsqwQB5zz-xi`RJxOjg%5@;8TpqsV{@F;);5LfthDc{p$#j-w
zm_q9x72)fcCl{vO8R@ZYE}ykI6iG#kQHq@4U`Lc@Zw3l?BD%
zXM+X^`>B(zrv7Y0YYO`BgaS|Nl$v7T(!$A*vGdxrF}(p7;(lqcw7ex#eOW}v5leKU
z_+(10CG)NpRE|eK@DXa{P|>t3CGmq}ud`T!&5+M@+mW>CPLB3F!E=r9qu}@r8hENH
zUZFB_OsQZ&iN7U&R)oW`2DLbbl0ko`Uq4wVqlX4h23J$pc=);(N=+hgFWPj5Wf4X-
zTtl{k0HYMJ>Z&5foUI)UZY6k%X=xcdQNbjkR?8RZOOF^Rjc$1N!P+?rrJa=4&=7y|
z$7sF$R}ev~k7&svtWnamIT}JfH5eLPDZ-{OB-YhtPS@+;BdE9QskaI8!TYJ*7bhq8
zDuz+;s~N4!4dHVjos_fZR@fp|Vi%q`VptVb)QV@UcZ3xZf~7F4m`{tPZd6n2
z-rw`ljx*A)GxviR0HK1gaW%xQ$HJM|!+)z=j-O8+)jagpGw@8943YG^bLg0BhfPI4yNMz!`_D#(dlga+_Dgx_;Wd
zlY%Z`$n!6Hw#JvYK+B1&={$C(!f@aMFhYyEg5)MCjPGw
zF3Hjj^8%fs65<)sL(lw22bCsOoPGuQdPYaMx_@{v06TjXUQta*f9NFXNs@|)43<`n
z*8*H2z-`cNCQR0v_TNJj@rZWXVL)L`H-HCE54|iwX7H6_s}4B%YdOWvYo;DwD;0aVFR`6>61kxFVTgdM?=u5?k=3iJ<#
zYE^;cFiDC*6vZ@`h}Yab!OT5cg9J0}pMI~k6~CDsO7fA+NxlNr7#FEeWwvQSm2g>$
z1d+1vB~pUDCcWFhON37$%ZG`kWBqqAX<~2_5e&#!dPjwbHMI0i*UbdFq@T_s|DW#%
z8u1ogSPP_63paqGYcQ}52rc>(sq0laUwz!|7W@wN{dITTr$akC3d-?pRCg_v*dXKh
z7uEgVMyN4RLxBOj!K$r9tu4;>im-DlM^mj-nl_GdxqYv+2aLi7az+spZ<(Q2*@Fn8
z8~-Jb{)uYM;qk@VAQ-?mUyWymp95@mYPMVeVeQDB1C*$MbIw|vLbF#z^~rUv1|9~B
zwJ&HzqIK_wAcFV;T1B{xWThyu8Hq;7A%_f6O(pvX;)Tu&%vSw@XXAM1^BD?+@5ZDq
z-O)qmVOi4xI*79#Hp`9P!)-6>>X`}%-e(2>))9Gr^Sjyfh>R+8(b8LvQ=x*l)JX&D
z1UphasknHuhJxe1$4m)bnjHBMo<`XM5xOWqROytEc14vo<*kRM0GytoBo$pZ4RNeN
zkpQfq7MCWvM-xBQ4=(J%M#ud0QdNbszZX57?ChebzCg*1g2Hm!UZPNA
z*iBv0q7l}~=Ur=1^N76UMX7b+7>BuB$9$`Q)K8}G&Wcb5NT7}ik)yA~uBXBV21thD
zX`-Xe@-YWb1ZSh@V(>1(P2`k*%1V}hxP&rBA%v}a#y(T7d%lGRv8GeimnmpZ3XMHO
zS}l<9Aey4G^U>)4?0%+PQ^}`oGHqaDo|~z_5aF9$Wwh=+2Q#z__Kjg7zdqiFD8q01
zw54}+I^-0&)k`JIuUQbRGcOYL$W
zYUB^t$gKg}pOxZt3Ye(>Qu5K+T79Ad2!`EAQnnJ(PN
zIdwR-p+0ROLk5+FP>^c_Dfn;;>RldM?BUn`
zJKnr`ZT8ZgopoF06>^nti#DA%9BG^^2ZeH-@9s4Oh1mu(LlSDo0Jj**TCq1MkzG3`
z;p93N`S-p;G)n6`Y3V`fnuM|W=bD$hCsjx%-x$^9I75x-;7}jdgbUO^uPqssmT9nPwA$?uKYa?$GzVB
z=AO4mOzGrMC
z%eSJ?IxJW7Tq3`r9={_I_zU*&Y>s4g0b!vYFZ3O72u*w#@O%$QzE}dlM>%FI
zC0iUpf16AK%h(|vLjea#B|U#Hx5d;
zHpv%Y8GDCmf{Yz)81f+S(Ns=H^5VngXC)zrZ#I|iu`)NT8S!J=0O!fikY^r#2+y)q
z(BjDl0>hJhy7l+iC98tAcERUotSCL1^UHJT53H7%XdR-I8?somL0q~vY+TW_CEvVa
zJiXt}G23kP)IrqEOqKmPR*!|drLNuaQ_iUX#UcRPCB{OL+$p~f!MQ6bM4onDF!%zuk0u@?soBQU;Ycz<+12mi>9Nj5(mwkr)Oca+ks$^K+?1B
z6Vhqw7QHqcs9C=J)KmaKP`$N}<1USE-OS(nyN+J9*R7*3wtugdF^!ttPzaoVJ@-U7
zPS{_k7cDop|HzIUi_99pA?2%!R+{DS7vABAH8kPeLGabuP%m3s&h0Ewu|
zHgJt_)yN90oY#QsO(=dEP(NyRRhO2Q^{uY&3c|sJ?bS)YT{(2|hgV^iy$vM2$q9qI
zE;3XH_5bPV=2(l1r%Vd%Ka?N*h+z4|m8AJ90p7`GtT6A&Z-o43>yE0Ddvs)lbj2hF
zmJdv1w;w%Ek=3*=)Vq=go7>!_siEZ74wKTm_JQ}$tF}X`ju*c%NAnX?K+S958Eux=^q;`XVij9a6%x*qFv9weYYE=VW*ZA-Vhtsxc8
zgKRMr<w64l~&8{6(Moe$i&)=4HDVg%?hA64R}GF>wh*
zX=4B+5$_}6YRXo+2f&RJ%(5~VVBB^s-h4czfTYUQysXlw@~-=0^3IZ)s17AFB+GK=
zqzGor=vUov!%)Qs>e*{F6<->nWO+{F-nV)AzP9p^V+*L^?3%RX5Z?=*O7zhvG@gNC
z>_c@Kq?7TK&7}~D*z^*@QG7p|zJU28xONuk=4z)1osKpqSg2nE`!GX^@-;b)QCknf
z*lvCG2@9uz*$9kvgxeK57QlmqI`P=YUNb^TyK#{;YfTXt|Eghx=NPP$3-&CF>bHPA
zJQ(FL9bUK=rfW6CtYUiPTAQ|!88P4dv5ig%!%m$cU3^LQoRv_7K{h%7
zz>t_4hh@tTAQSugwZFEby<6sv&_i`e%?p!T+5$9BZH%EGV_=#G&hQo~b*XLE}05W(1Nd1R-2O2w-Obv~nh1XRr7i#{`w=8@uG{?6x^#
zBYp$jwgGaoiYnMPd1KeJV{2@0_MX;crf()pXq*Oy87E-@!g#LS%xt=SH(
zJWl4Q#9wwoO(0G_N!W_XupYP>zE3sXU4D6hWtzleOFUW?O`fdN-pPxi{CA<1CM(Cov`@kM|=79e{#z(_;l6ssTd(o=Nc23D>Sm
zNO1N5Fe{aYr$u}R5a1h^2%Q6E^8Ciw@Xxn)q(9U1+4j!{*r+*+H|7~K!qF#hF(rvh
zNse|DiQ^EUU1??A6xqi=GWWqS{MV2M$mi41id#-CRy=iZ_+6vZ;CmN`_D~W)lG`y0
z^Jl;#g}*KwMeUu@j3{6Yc+?l{38TujyDr~)RiNmk<$NG(2wh?6XVFOCT?Gdf&`Ykv
zw@xulntpI^KKhvLhvnP{Ffer=S%?JyXmd$Zd$x))=?JUMlyJwgi$yKpI@IsIvHgya
z(=x@_k9%K|z3lOC)g|2n2UTcoJL)}YR~p>p*Tk!_(eHShQ+U??X{*D=e*hyx{We3w
zQyBCf>Ik)t9JmVwy$2O*;piXKIxvw*LCWb2DJTf(iWfmF$&7FOcQ?*jA~fR$T^bQT
z6tBg?0c+oa$-)~UbtH~@W%%K?gLhvC%ihDS0=D*&RBF|pSN9I?JoUX+$AD5JxLQHf
zFM5?dZ=2fsGd*w>JpKfMFgjRoy}hz&BfQufoj7Q&6#V6
zK6z&t=6!^WGD|{1YaAd*CX+SsBi~o^2KL?BA7l6oSP}>m#YHdQYly<
zT(T3u{2*fyS!a6Q@1?s)jDFu61$)(IX*!e|je=hw3d39_g{XhQuY&bL_oWMjaz$g^=Aj
z<{>*Pp+oj2MKq4Rx1^|$3Q?$Nz4JSt>-zrl`~RHl{By47^&0o%zUi5KZBihZv^I5K
z4Uc)0{cYI7rq~k&V!|R&dPy>hU{8I2D&%YKXMXU9|sLsCs@Ae%`j9#zmO;@sgT
z2~q=q{Fy*_#vb0ijnPH>i_Qng`?J1y#-3;S6Eq-X?b$SY7ER3#A)p!h-&PK63Idp|
zgW}wAqqN9ka0hvA7aKC)+c3Vo|Y
zI?PGG&5~Xu^O(|410=me9rHT6$vo|Z6}6gR#(ENF9)a6|2K9~WF?=2*QS%&`=1`>>
z8M7tk2ir2LaDxiasT(YJsI4t(^64=bHu}Jx_
zZ45S=W#c1^)#Bh@(2XC{4kFCVVPD-*sbi-ig
zQ^i$h2fT>imFAf93H)aWWg9F#VmlhThYOLVq6eRnk?N6B!r&8Nw?w8-+jIw}ZvL}!^E)mJAddP$Wh1hA^PvpR|Y
zR!fA(i`(#}bi8hW*~67A6R*)5jH*aBnVmMt_0mlN+(Bgc&s@pwx~u)!7ZqDgc{iDt
z*U-}hW;)r#29A{S_z}7B50zlqWi2h`E~KgGXgg%7n{BEYW*V^m0hV!fe8Xb6Hr?*M
zL_q%;?<+@tb)^bNZBBTv*Cm7*sd|_o`+2wMsNso=EF0*y%uBG4JG*Om79FlCrmLZu
zejf>}gXDo?jCM0(Ws~+%O4#uroUQvi`#;Rttu?E}CM>#!CtdhAJMm?@A*zFh>RCex
z97z-xoD0s9Is9^g`1#^fduP?9W~vB3!b8*A+#pA1=Pg|n5XJ-_6m%n-7N{OON8;I{D6#L{wW}TPAB-Z|!dap%`;RY2hwXf$rJ*x|^
z1fTgOWqRk?{#n$4*9|668s+r)b@oRP9xn=S0EG>pV_t{K9*(el5pm>P#~CRJ{aAw`
zDv^~WmSOh$C(C*-#j25NG-c8tLh7@qHyqNXbMbV9AFrchrMo6nm;g;Qc}v2u+H4q5
z)|C6lbqZO>@u`pW+>Wi=gC(TSB!ot8usFHei)+xOS^V1!VF0g0SWiLi>&A#M|4f-O@;XOq_M)4R
zPu?CU$x?Yrcesx0vv$D&Gc7IQpl1iMYQ($!Zz7sHGAcBdtsEmKUj#V;2dNv1_JhptrTLJlUR}}N1
zD4vY>$lWNR-JK1zKqrJ24_GBWf+Inqm!^dq(m(1*hi~G40|1W{h5O!D2Vx&L_b2#I
z8p}ql+#nqRszVnO&e;2eBtFQ{)Qp}?khnb)9=l*HRf%Sw7=IRIQO}LBrg=eiH)54x
zui2An1gxJsYfh*Fx{@cLkF&dv!_|G;xkA{;9i>RYphB!G(Tc@1x6k^}69(8QY>M8*
z+bA^NZjY+GcBmJNDrgF62hD|Ek5@+09T$^Mp#
zFw3$on@BFFhBsO)g?W?|?pTCd>&KT2n=AprzP1}#LsdWp^4Xeh-I+32ScRi*q_DBl
z$g;k(2ho5SUF%o{^szhlv&vbeGxY_{+(1(M`xS@r<7;?A(-L(=s2ShvOTpy4;!s|P
zL5zzIHcNv|YRyG!(elpQb#cO$Q{7TV{`VKOM}yHIWF!DR8OB3u@Q@u5$lnO8!`0LG
zgl~pr-e4jtMuOgHIIIX&-e@bTA_kzp1IPw3NVQ%zp^rnz0~dC?qlv(55mK~1L!uIZ
zm|lG00(T%*m48b7uVn+y9cSRKu|+SD9jBQ6VZ8r|*R=6YLwB_@4%(k#BLGsnlI6=4
z?#0dQ2_w-q&zbK8X7B4gKBK}06wH^6UZy8kw0>|m+e_PB7vkjwFzdLWTKwi3`=*QN
z4k_@SQ(Jx~zL;MIALW%0Xg$*M6SzxY%$=cqmh~5oDeBnlZLcp7`7q{o)C<2=
zd~_`bPd31IfQwM$5bh9ih{_E?bv=d
zpP7;SiDtV3Gf^IIaH(9;?$|Fw&L^BPZLY!}|6w?0BWzeomfFi4`G#p_72L7wysr_`
za>Nu5C9@sbU@-+zJ2Q@dDU6?YJ0;(bPT(ww%x2kOS6Jt0yKxcKZ+X*rW1i$5cV-1y
zZUw+!V&6(05pw0@+Rh8JUrV9$J;752wbRtXSrTk^Q&|;+%T*{yv`AsJ`%B$xU=NbZ
z62oPm2-l{m(l=0Ap5s@mOHo4f#1fGJBENMr*X%mGjyE^UEKu!)4WQU4G~vC^1WTM3
zjV!%LW@9#C38+L#O+&)M~Nm33Hv##J7>rG`v{?a3xYu-I
zF<{Rk!aBY7#9Eluh(_kUpzaVlmkCLGeW`W@&%6u{R4>9Giad=I^toueSnkcIs)PD2
zv?Dw9JXJur
zrM)l2K6bSy_>Q-d^D?LeGAcclCF^KDt#VD938T!Ui`H?sAHk23S#>5o>(K)Us7(b|G
zB(4_5)6OMNy^nazL~3^;>ZePU@#zPf;ei;SRM6Lq&j`2%3AN)e6axsg+AK+D^VtDQ
z@-PB+MtPDhYQGWNR}V8QI(@mr^*>idD}|0S`T+#+>iSeDuopxE6D@+1~ln3
zQIF=#lr!K%dzC2<<(4;V8=JMQjhG{{8+_m`&||W6yq}`=d2h8h=7jb9lgP%oa{a{7
z_ZbIga+vg_e=5JGX@1`}>?x35C{}fTl##G?OY+_(6G5(H)FVR<{Hh{VFk+T?GJ<#U
z6-lQI@qpog5&lYXiU+}(-MT!3iOx&pOt#@F&m8e!tnm?^8OrP*Ce8r)a6su?e%P=#
zq*-ZJSBYtDLdr-lq>9Hwu@8b0GYIv}VrB|96{^~-C?tC2FwwbeV-Jnxo(mLLc!5LI
z@X51*6U%`5o6JDm_Sswjm%;#Rb$d5}ofQGH860po`Q0WcAQ)PkgHfZsf
zNS#~a_nbP?cmfo$aKpKu>{E_d76@AY7Sk+B{%LVZsuZUTf{@}9FDwGw+y@N!eDwNW
z5dAsYFR0@
z{p@E4gxva3Mt4WWKM+#lwXP65uwkbKxjw+iO2+lCgn49$6#{_nqs}ox-%m6k2{CpL
z9AvjN3mMX>9~>s2e<)i80=|dHq!3>vE5S|HB%>k;@IF#PZ(i0sqkc0@5`k2CR0R$Th
z8FDa%(5_?i4hcq+xoNs{7*UzJ1inqQ+%anv$MgR{nA8XZri+X7UJHjAXA(O}Fb>GC
zknqhsON*$h!dXdFk1P-g4dkfEr7lvdwGG*lyb4aa368)v#y@vOOJ!{-|M!Tsv5Q=QQPTV_W1|;|+O>!n9
zo~NAF!}QIMix2bI=IBh
z*DUFzV5n5|oG@W+;?hGWDr?75vfP?i0+>nvU^ykkIc(mj0iOt%xh!^Rm)*qkuW6Q
z8XX3J;(HNb%?8VqqmYM5iWT`jBwrGoq+qv>a-gT-0zLK4skS2=jdj>BAcw5dJ5(07
zb2)qWg$NlU*S57PiT#ncTz*RMStuq7>m8_&B9rjFk?$Qpa*kN$Uc1KF(TQM`ilnNT
zeBj2qv=k47I`1a@8vlSn1eU6l!GzRCR08&Pm{mIrPVo*_vblfEQYIvSw{(u8x+XUJ!_lbH^(v;!KEDp1bTV-ix?rlX>&$%jmOEA>bcO7MErDIM@_hdZ3T%a^n
zupEF1XN+!HW=-lzmn?(Y;#YVmofRzL`aQyH#&So6Qy6Bf`?VW9lTiAtZLy%#Jh*51
z{1ql<_meHti0(hhM{>8Wm#mE|_%V8x5MQwNtS$#5#`~_s8b_xkpK)g5cK$i6`k$w-
z-uH+$=Upa-Du{p-SnEzu(dCG7MaF)2;2hc)?vuDW7Q_Tp9cz4K8D3}Qtf*ezb+|ET
zKOkHFJwN$$=Q_)-WQ{HFl1B^ahv>L`+ga16Zhqud1;2)HbWQ!rA^k-Hy^_lhK*
zaD@5hc&}0L$=jVzx00!>tagD-FSz{e$26*lg31}NBdh_uH8~Weui3b
zeS?Xun4FY!6~yZ2t;_w0kYUZB4*B={cxn4)`7KgObpBC190>#=uHor)h#uFx{;M#l
zpg(>FXB0wi*-9md`~436NeJ&(U+Pa-??ek8wWWHB^s}lXI;_ZtJ2R6}OAz%;6NQVx
zS#=QR3;Sf0HUYx9ibq&cb%&M3lBWY`$o1EKVZq0SqG5{j7=>X;L};4ds7E3*n5+_@
zlo|SX(ypz$LDEF_mbQv$WR3j|-9U+*14@ZFEwUc_-{afzoiwObiZa&ZM5mGC-KNY}
zfyn;WAkO}yv8fmn<7_JsPBJOC@M4pW51=dD{cnH4i%7vpIEx~
zi&DSopDv$6ks=2;rhgvd->Ot4BEQ*IhHuv+JFr*OD&Qi^05@~-*^1Q{GLeCmFWOmu
z*EQK1%-@lH_=OLLGf&%f!C+{aV{zSP+&@PNJ|`@t
z82V~J*^h#x@B8ZaU2)UXGXs=P9YsrxQuKdH(o{G#IrV(@DOS9tEtXh6)Lpuw`l%m^KQ2U8xXqXhGA@*Ktbw8MjFh=hGGgbCK!PcW!U
z-GwC3+~a}$RHL~hc@M|gjp#Z%VqT$w5gsN<(U&ITi1*n;YtM8+HHr|xbpoQCo>toJ
z3_h?LvBxM$!OP~81(aN4>e3sw^oVom##ri_@QJ>(xJns?T~IX{Jjb&#DC8&xC5E~C
z+F=59Bt_k!9{WO80Mz!Q{{w4G82+*~USqrhc45sM-j)7}8ouupev{|cg3hf@U(7Tp
zjjDmUiib}Rx;f&K!9;h46Z(~;b-g##&s)ML2lh(?W1*_%mS7XfF4A&*ZIu%I+BYY@
zGTI(&(Kw8~O!LO*%3dTu1M%<&p{b>mTpg@eOHmx`0BVJSJ+U=je_^Xl@Sf4d=q-w7B^DeFv8sx&Y2??!gEs(Zr=hkY07G1X4wO6
z6=6QY7#XE2#=?bj%JFVvMb_(jE}BZvG#s-^L{xDqc+Tci&9_LoTOJp(W7@NH+db$us0WTJ$a!w?J!m(Nyq(S08pBSh?>?p+P4>#UA^07
zEc>upq(Pd~Qd*RED-I@nR}jHhxeh)be0K~P-Fvab9$e~B8?G2?F;ZXpB8pJ?irofJ
zfL4e&lFPWhWxg#cuspb9X$=`kD_yED&p$)8moDs;F1{^VehCRYl#bqdTpnGQ_h6~q
z!73wA^BjG<$SlcX@y^LTex5S8iT{T&oRJ1+Nj=Tc(1|%c9JJ02K0trb)g(*Dm+MvN
z6P=EDD{TCH(K{L7lCi%Fl5
z!04UwcoR(%m8uu@$dt9>clGI8S7{kC_b5H(2fXs{FP7H1*B7PN=f1DU`Y|))lTD8$
zqr&f0SvQ#GpVZybYIx8f`PegYcs4ZF!z1=L?d@@0C#tF9d*j+%!@z4?=uSO`uW3T&
z9G{=9hE}z;b=9Ovb5y_L)p5z|J4K?AoD0s)?@aEPyVupUH`ewUS5`C|g;=|$gqMwf@HT!KZ++i>Pq!~`rM>Y$Mzr#ED|~`483Xm`!F`YBdy?MP
z71e5P4V~j_*PqK&Q);*CYvJydg!JM-CXUEjWZ)spMe1HOXIVMC!&bOa2+haZbEmcE
zj!bXui45o7MI}>0z3uHgkP5xKkOy{&O=Vu~#aAC_xo}FTb>Qyfagyg)$MtwMI`w2L
zt=ik$icj)x{m8VVJTO4$Ia=q)yF6^9y7lvxTAMg(gy)ExaMn9L(vR#kt%!E}{17ui
ziQw-Nt+8;NX!nVZ*E4!#pwy*gQ!>pb^r|2_vbSrd9g1a3#EHMuJ*)6K}ylR@##qq
zR&WpfdoQ{uo%6?B?(H4%w+3ho&opPik)HwGd*NFSc&>Qy^IdpuZc{GQ?y+Ej7vE&#
zlQ&k5kK0~(?syQg!%Y{p4zJ_y(E3wacMzA%Q}X5N
z^VK`hhR-7APTj)Y&o~3hVoNA&e{mvD=s(gBm>D?Lmz8J1bXhVy0)Ke(brab
zIDSX%p{Z9&!=IsgY|PxY(p%u|eX<$2a_8_g@d1O}B2Crj1|f7xEJl~sTV)+y-dh>d
z^KiHk7tCB2YUVcC2$B5o)R)=wtv@Hz4UV@lPaTyaj1R`t?>q&_xxO3s^xGlKy?hJ)
zCr{V?`QGwBjrM5E%iz0b=hR+2T2s-^F+NHoj*7Mq%{x%9U7WNhH`}T4f_fXxT!!xV
zH9v}VVs&l^GVOsfS+>fyWUbbm_;HB*EesF$eqJ(piMJUXGol@fc_ufN!ddyLXEb}I
z-%4q6t+wk!Nvn_+d-v+}qH6Dxm>WCPDYe}IQl#)uAuLe_Gd`_cWMt6NOHMI&Wq
zrEVfb8^>gh;V3CUqGnF{@;zjpiwaGD=iW*??lThZ*u09lQ%}jeJCrLh|LN@f3;Vg1
z;z!2rL!G9y`4_3r8s_xYn;*%|LroXBrMjf!CN4F#>JX>Sx-Fo*rsC3PE9XXd-<&Kw
zI*a?3@yyyBV>l(^`n0@hXYkgQ7j=Ep&U=d-&3w9hFO+qLv`QRLYtHW9DzJK5xxo4I
z{`%52`7)2VJC2#{DylE9>Xx}QzSzR^8
z@ePp#UoGY>{YEd;R*a(d8db!XjpzC=#+1|IFt-I?$AY?j%NFF@=f|a2Oc=+$_KJgU
zLiNNzmo;-;{d*10wZqxtCw=jG
z?eFC|#hdwz+ur?(d)uD==EhS#q}J1H8{33#Zih+FHe1V`3RBtDP(B
zA=#_;|B2KIx#BaaT8#gp{_7-&-(Q{$t@wUzwD8Rx40C
zy)4iSF7KBAl6v-^h``$!v_&|x`Gx?+?WO8%$*uHCCS0rU2>s5I+uKg;n(o?|*U!g>@sl4@ER@WuW}p>Y)qTs@e_PI)+e&#K>WL%87U#~N|5Wz<aI&=atxm9xH5ox^W&S@~EK5Vi(T)
zN#S$zs8-orPPsJ_=YR_)``pnMv
zwewEhfBt(8x#g@TANb?;o;ANQk}ox|9%+5sInEmYR_MiWJl|5w{+8X!>iVOzyFEdr
zA1-|v{x*$O+7dyqeR`*`c>MMS@6)Y6Svr3-4xZMEBK{?|uipY$4$D~+3Y|}E
z`CIy=h009aa8=~)yud@V+^^Pbz}Ysi5_^LfoBrD(TYa`03WFjS`1xv{wbD!&4Av3h
zvZnv)psv=s(fSX#JKfM7)%+Q3FbT#GyxYRI+*^Jwm_2wD|4U1-F6e?%JOKhGLiB=vzgOyMzKrWR*}Xr3
zH5vR9GYWQmbmt<==PcBp((>c_cOuVDt@J&|jaka8X<$M)W)=3{j<&v=xW;!D|6lIj
z-}a}Yq9sW6;89`z-7VH9D-}nRGa?OdMeaiWTM7+TU-NwTyi!?y*KhA%JP30hastBt
zU!GFI%Sh2USByp6qRMG*LqEwQE|)|5H)S_dNu#Sv{>oNbk)V%
zG{Px0M+3Qe+fSB7&piagRN;gISps*ZUGz87bd7bjMYZz_zdjL-R-3(7;h!CWs(8W8
zB?!RTW*yR!?EE0mxjW>;boHNaVhcSc42}dsMqo1)&whl`9U5Kw(>PDp)a4y`jv_tH
zh4>#GPNZIvOxY9&RkWg>dcd0D`uh9TTRL{4u7W?#_${-@p0VEOXq=%lpS>R6{B3h|
zpgox_dw0Pvc*7)SX4Q26cHJpOLDMJx?5BMTM!9cWygjF!lfQNg;5|7hlyCtiKKMl}
z+nzH&RvY3H*n!hAi3S-@)OjyF4f)E4%9Qy6QrV{$E|;_@0PP7h(46N-
zLT2?0UMreP_@;#m8B9aD%2oEZ^jauVh58k1EP)&k>I|%Ldf+pcScsueOsQ$_pzGg2
zG461$?X*efzx9t%*;f73>hn99_1tlthbD4?>{Q+UAdV@?BgKhkno@ZB!L#FTvC+n?
z4BXtH-1~f6JyjOeRb6$Z+t*IpNI}-9Td4V&Mx|?EThp4guifVa1B|{~8+j_LjI&W1
z^2FLp&LS=(z%mtuS3$k(
z`Mo=RFn6Em&61RTE{6dTHd#bz;?(r)~l^M->)DWsN|V-UBZIu
z8}b7q>k@LQjwmIW4%OmYFb&x*_Hp<<-|*zn#;2j$FKn(RY?%nZ@>K4HOB-A0%vEi}
zH=M7MHqCwI1oPK;jk^afZLK_^HE=#`Y~;$du1+H7y*|-=T5j|OJ#@r3l(}`zC{^@(
z+?}rKEsNbRg#sKsV$Xgotx8|1_!niKc-}w9B}vZF=t_bLr+#Wx(cK@REwK)hsgvqm
z=UfL9HKY+KHexZ$I+`vIy4scU9rqIQd465C^QnA;_g44&5wX+E+;5x(Yl)n%Z5Mg#
zl#!xb`RGIAW#s2u#=IB&87G8XrRUXto1Pllw*GKreoOQZ#(Wn2Glg{fL+&z9l+_ErkL{X^IL{x+GhY
z&$FyZR$!lI-~`~a6X=YQ9z)`oli0vzqQ}(SFmOU-IB|J?3d5k0B(@uNM9IT++*?J2
zK;`>BDbQ7MAw9{0N`!aIn7(b7QF4x3FZnVL+el(=Iu<#8)CylWJ&qb
zHYVpo_S{n65DkAbJP{L|6CcWUq+BB=A-R@mAP?v2h*v7+SL%o;yHPsEo601k)`xz)wpkGAVki4}
zjK{D&xcF;^nKq+@B4c$%0i5RT_2{JDGFstdF631WrF+vNSooSSQkRJs*~KZi&sqi4jN_Zfc`e0
zW)v=A@u3JEyKe<7ew5|Ox3zxAcXyy$^;#{HbaZ97!^1DO_$FEAY_il+S7FN8Q2mCX
z-$fWG^vGv30p)xHXFF7$60soW?k=yU)uA?jeL*=5cI^FXbUG}a#%WPZPPCnR^-$#1
zMN?n5#+*rFp+>l~-w(T6xhE^n9J;oI18?wES)8h}cD*z%Z%l7+3F7ni_fwh-F|9n6
zSZB~9li%WVFGk>#h`M#a_8!%$@xg|{$6h4y#kbDS_g{+`iE}63^BeKUzbZc_Yzta@
z_pQ9X`@~WDjiB(&54ZT{HPY=~ZGW~64Ru0!J9Z2=J5>UI-a$o2U?7PCEsg-=_i}+M
z+fgEG#f6pfM5jTnxzpKXm7L>z9y+u4ELGp>66Z`8VZl%SxNULuVO!UbYM*n48#6y+
z75-dc_+UPNcpa>nBCWB6N{CtXgr4xw&mUzu#2)g>+(w-HPaBi}nD2`8fXoCFyK8)0
zzn9`QLkC-qm&F5SJQVE{9*Ky%rMb2p;soW#g?^W=rXLC1zHs*R)V1>sj^WC_@AFa$
zFa8>JQ7Gc9C28tiHIT=rb^zaQV<3K{z^sHjWq;8sg~(%hGuI}uX+uO0cz*!^>RE<1h>Yd)*;lC}2(J!;7!
zmv^HkJ2EHt#|EoKQcSfLO5@pdyj=1^g72xyKmET1Lu**Rxym(=5n1}9?g_5kj)uwC
zH2YK^gBJsQ=MEdW)v#HdmG`X+8&-mZ<}MTWu2FmE$94^N120a!x@>#cgf{7aIv{@G
zx}oc)a#S_ft%(`Wn~#N0>=1rE>c{)JFMHk;yzkKK94Id-Qux%85H;D?{jFfKRNN%b
zi~5v%fEX
zdjOvP`pv(H?h&^y*K1?m?6nl|#dnFU!QJ=S8*Ag#
zeAZd*5jsNEMoFLiPyPr!(#6aMkDTRWi`_hHjY*J7midXNZW>-rj$KRq-h7Q
z1wO_FU?bsVJOGg+gL6cI0J^Mu0izuZjsyho2p$H>NdR+o6IhZc_{c)0FamZJ%Q&bY
zBqjp@Fbqzz>rUkIB65a7jD5+_;QQDo#IIJT0N(;c27%d#2y`c&=jmrGq0eG;xU32!
z`iT-5EU=9GPy$&B(=R#*3owEjY=I5i`bEY1kFM${W@I{q6hiIDu+e@QxztcP%#dMo
z#pxI$bTx6T7*_&BLsw=u(auRXU^z9^w@+9b0+mYElpCC1>(j6S!~pVnjebX|)VLEo
zHI5F8qoT;>NRs*^u2w&tWO+~szz)*Lw5K^U2TA<&q
zyFxWqFP5Ha$D?CV3DY(7!f#4y%wgdGC-
zs{oMh0dxSs!T7F6f#9TJ(qAMgoqQa13Z4U~rvnZ|fTtJ&Q8Z!*C6T_PNxP#Z8qdFh
z4LC^`xN|5Rz5tg7gqeirt^)w43rDilAK#2hs?u=e=imHCj8A+4Ucv<+IKNnoN^3H%
zbWLNIqWri{!R1hReMfA3$sDBd%2JaO4HLkMsWhJwp`8Q|X5w5{`+eV}Jq%gBI|d_w
z3$!V%5CFqt+7*y?7cv&Hn*@_$s*g2&B8O~pHQ@{%?{S@Y!fbZS%A|GDn1`AK!&7>3
zX2Y(C##Pe?O-AL~&xe~PlQfuM>81m*CcULh{~nml{?#YNUU(K@IGDjS&TRfdjM~3z
z%7cKGdzqZLm`@~`z1%dbfk?cDOf7vk#n2`ntxnMg&6eb*1_A&q1F&T_YmB|{INywy
zG>$?{e~6vojAmA=
zrjJTZCdJI&Z%!^YSw2a!9JDhtsI>f7I(}DWx@_0@o`6;R;P|J(Dc(AO)oK6(`oL~3_Q~`o?OAN{TvpZW
z&qa$GGi&~#kv}SP&Aa0dAr$UC>i{on6~qjm>U@~jY^fIo47HFj9~nuyQ1g9ax^$jj
zeiFrLiKbi0iyH_ePsu?S6jcXh&RuApoRd3e8*4W{_1Bb>WT_sgzu`4Is%OSsHl-zK
zAn9hy_rvVWo~`1OX&iN7kJ(Cx)AqgHJi5Yd(LrqT+Zk|K=_D`B)<|BjUv7+}V466!
zh!vPRes9CGX7aGq)+$i{^&KV=jfpY{aL&ZuG4|QQwC-EeAa$9VeiKB
zWa0A@eT)Msd}#5kgCp~k{f
z676`~K`}$rz7Jql97)uBspv`oq{uch2!|xcn`p%UU+r}ST>}A#6MzXJVAMwIOGI$U
zxQ@0}45VU2O-hZh>lx`hXZ%)2+wYHL<8{*oj615vZcEulclOy-PZTM7j+YugsF}K}
zajl~>_d)H`y0_ah3YnTJElNLDNS~
zmP7!5=i#f+wdodfXo{O@SIe7To>S{@Wap*dJtu?FLT24<>jP8{*-Mk%?ViJKA{Pvp
z!#h4q6rb^bJNfvV`>Ar>|5bZCw-@Sc8!w&XQThC`%|1cFM(okvO83<--NwBUU*6FZ
zzwOCC=?-~+#$vbJSqvF`YBuiFJ)xCUmh%sO%4M7U(G2^vIM8}>si-PnI|gv&2xJ9f
zgElta*K*}g3w7viSDV~qqanh6970EVHLh+aW}n;iYA+*e{x`CgSfV-)16JfJEu|$_
zzn==jWYr`R&=EX$6+!kLx>|d#V1lURPsfE6ApPe;yfU#%m#W-vK;pbrC2Fa_5>)KT
z;Bd(AbDAimL^Pmn-S2uDWh|O!=b*VLhS?(}ve_<4RTb!jBR?kgRs-C+N+_`!NT
ziDJbpX-SiZ^&{&7g%_1v2g2zL%~xZY^zmFlWqvo)8Mt
z{i*reHtebRdU*{^BEO%ojaW1iJz5jZ=7X(+>1Qi&Cy>oMRZr8LY9FPb8Z<%jBC|@P
zYiE!bZUIr!z;CB-cWdvdExEMx7|3Q{xJ~G1W4OOU(2GZ2}NNsq*I%#%TUU3
z(u=xZK+-KZlRG>2iACTN>-p{*J|zn5Pm9M92PbddJwPSLs1XxV|Lpq)iB^FzX?K&7
zSN-LSYJ62#13%9@-24-~?tzZ)_Pxy}rn*`6e)CvozwDCoJVL(dwaOx+Iw%8_4xj+0({w#AmDpxT~;jG64k-0F1s%vl|3_|b(P^7Z)S-XnHERPCpJyTT*Ng0gt`0N__
zLLqy4%(uAswf>XR?u@kMA%+{qR5IqSmSfPq|s2_vBOFQ3xyCwZVK
z2<fN*jWgB-(4dlFAwBqcTDbT}-)#dwXs)b4UpB0FZC*}zITq(l`Qr`3ma@$F-^k(|x%T!cSoJdO(3pTM_S2Y@Pc
zaEiPS(hU65;H%|7(<>j#kV#D9bREv$-sdP%?nprhz-#dv1lUnfy5tWfM+-I=hFkOG
z!?)N3e=7r9G(_gDa?5MtR`z*fburAVn!I^)nYf@LGYkcyy>9?WvByup5&^j{hxWmH&h)c!T^y1~
zKW=tl3bursd8FqQq09i_yz$u_QD&x~VGP3*6bubvA+}xM(TN#*cyWcQK^JE|Jo0c!
zmeF9G-c$-MtSJfa^)RMPHSiV8MnCm&o~pA6TMh&1^3Y)d)Mr7wql_w9KJlrE251%H
z0lSFWJQ;`amK3CFm9pLaY=Hf67#P}H=)uLKlE@e%qClylxWUYS8Kd+2aQ>SgF3z+)
zR&XzzO;onk!2R^{iCEX|L@(13ea-lGEPw#6E(O1oyT}aU1;|(R7z9WW
zl|tyoq#6KZTrdD6Hj|vEQM5KIVD5%bD5jjN0
z0=@Nb-4zR1XTRHr((EG63gUK96q)JxBX1c^M~$x^5SN7#MHHKt|I
ztgwEwvJ->(jI<*HBcDbnF0k(jI=~kGhA2)7vj&oM*joreSx#AsxflcsBj>~E^xqeb
z_GF3J+2j{8L`0nU&`x0xL=zxj^k&JhSb|UQa+I*#Rw6;s>Qx#B^|kP7kGswk>WmR3
zKHK#SpxkYzz7vU$FQyc7{R&O;Jul8SGOEui{Ohq~^&xhf+Y&{Nn&f)W8lspu1+jrj
zL+%FK(?MKqdvKsl2M1{Av|ql=c{`;32eOZVsbK}uZz_L6&c&U4eH@VN%m3f(zcZb}
z0oc?8w!Y=?3iI7Fpa=JNVSnF$Lj2R^^mD;@eVAH|{iOp<^bG8v!x#}$mXx@=30A*~
z*u@n&i^BNiUTQVzViqMZ=@4jz1jbm>#UL2MS^zO6kT2T7`)04obY0@?=2Yys$>z&L
zO6EIyq$65|xu_52=w}XIgA-|Fgf+q*<7Y|>SMn7Qqn)x$<>mBMv*R*i+;a$yqJqC&
zYS+hrq)?V^kazRu@oR~OJOai}>;byQ?0S^24_am~F`zB;c>_!a6evA1HVIa<+t=ua
z0lYjZT}&VerJKlg=|4<~MRUO-`TBbyYWjs38%FT?qoxR{$v;P}ax;(K9pSZEOrJR%{2*Npl;3jQ)sdExfw{9sgWq`4Q
z!=rXQszx^{8PJgQlTYw=5!AFDM&FxJWQ!|Vi(-sIO9+r)tAv<^%(uQ67d5NHqU)RN
zqW`2MtekW{X{03%5(H8y{U6i76mmcfx$hCOa^K669wc9L16oBJSera4DPA>s~%QdkVt>W3GdBT;`Pt{{Zm$0oL
z-G9srNNz`qiskVL=do5fw82=n7)Gl=>{MUCzEMsUXq9=|Z$k~v|A;#Yo&aJDP@^ZMxP>hkr;m2^?>
zJ)mAop~_HD$+K5eU_#7=rT`F^_~I&P9d1pA_|ahQ7?>L=>F8S#BqcoPQL%uq_KQLB
zf5I8b_4ypRI$PgwWsek_Ez0E~)hvEOMxCH310@*uBtnP34UjZwdlc^MOSyPRXaeEn59%Z@!P1?p(t
zZ)x@+NlXRiHYk^98Vr&5^1X{GWAsOD5Wu})a1?=dU=Q#E5Ps<^ss|C)9(UOru-XP3
zk3G&^{iQjWR&bD373h;C>K+K-q0Ga~kJs)5!l3Tkg|SGcVGkwrUq`^&D{vKA;)$gcQKxnh4C}u4dZnj9u$=cATu=&K
ziE*ZdgOyGgIY&B7bH``3JwH9g7-G1d5doBbcm5*NyvSJJGbj=;d9i}
z#u!@~{5l=7?r|BkerE&@Pnp$Lk;pd1z%J7uI%z>^QN{LYZjuX`2F4Y4wDMMlYT_2K
z6(w2gpgU9jRU#_)_G_^gzf-{L=xpdM+1F+eYxv70F@rVgP*r$O)#<-iwC3Ae_;MwK
z@|wJsY2;sWH8Q4gkOsJQsn@YyB%g+97v>cocCC+j8V+-9xPU|7qxV7_K;bz1i=TbRHbK|I{g;reS
zi53=&2Bw2i4*`HeJ3C?+?DAc|rArS6dmyiO@583n<@fD~+#U1ARR_HDU#~Tcrsg*Fb@(P#2T>51hK(m=}kg|qSI!)zVusdo2)rMp@JX8%2^}uJlyEF^;Kp#k;V4ojg2)@~aB&U6Y
zNGa%Wl$ry+hyP08qI!c@erRTw$u+)iy!AuEddr{pnDR3kMoA4rlF(kN*QFxl6&RwF
z4zC=+c;GQXZSa5Un2|sJ$z*7hbilo$tiL@}BfS9A>aJKX_7dCf_&;40C%W}*x3r37
za26|KuVbh>*IQZUsQ+w}%xGL)R_JGI=(!xE{g38`$Cw}jycUo7cie`Fff&$9CiDo%
z!6SR}(=8r_ufFys<2+tbx>7NBH~hI8TxxH1+fmahc-tY2A`n>-HE8vGZXd4Q_Lx_U
zoSGEmh_ToGguHKsN$`O=SS4lW!$1ekUn8pWG}G*@)Q5TdGL`zcwVzEj@I;zkFx
zYwdMmAAA~v_-@K9L4ym?&H`(2-$jb$?}WAm>jVHXil*ljVYajX3y}ug
zh%L2hVU7)QXtQ&}WZEiX8`=j0qMrRRDdmRQ_ENkoe}f}Ok@trlZbbwgDv0>uwNeG!d6
z?g5wp2h@Xw7<-E~WVxchW}o__CW#Ms{q!GnJYzop`3VpGFIN8%#B?8eJPNa+Ll7xm
z*7S%DJlvJm0Pc%;ErH?3W1?utCOq_>1nMri@qTUrN@t`&qI@SsAGJtRE4(|Sb
z`op=8ozL`MG3FaH`_ZnW=s<)aUFNzXOj-h?caj4&B|l}vZTa`Bue34Y*Wew5ppkxf
zib)HE*l3wN2MPguk`XijxYtB;7nuhc&nLeU{6224+-_>r&?!{$bjZ%@@-XBK%l$V2
z5cQ{H(LW&-;b0*Eu0;c}R2ubD(9eGh?Z##|U6DXL#;-CMF=w
zi5|i1iXjt_`BvUlF*W+8FNOy6S@<4))y}zVlHN0gG5lS6GvFblol1}jTIO1@&w(0~
z+igA$frW$O=_q~)sEZdI91^5>GC|UM5~yiUeq`FKoI4>pwVavR@$pUJUz6t3#6g?3
z+tBrg%YRDMKVN!b9$fmUQg91i0+NS3LChku78a%RX2#n3w
zePYM_ai}tYZux_1o`1IFHA9obx#6^M1cxPolxEoOc2_V4t+N
z2XZR?Dm!LzSyqR_JQ=XVn5?8zA9B-1U0d^p$Y@_Gg8^JD2M}Nc?Cjo=d$VC2H_DsP
zAisZhxiyOAhalJFFiP4
zlT`%E+qr)@aDi|!W-UVe(;Lw%Sp%}nfJegEtH-OnM{gtAT011cCN`nbpvW+eVv+rBmvxu1_%NS%KF;*RD8Jku0x|Y%hq3PJ~sVymsYnt=wH|3`Qp?Y;d1rNVt&*K4jLA8bP05T_aa+8aaG%R(JM
zd>jQ%a{LE)_qEI
z77gwHW9Zfal4xq$fB&JjSh~;4#Phq4_h3J=U=$tz#8s!s0cTbL3W7Hw51hw*io4yL
zB%$nBLul`VGWCICAi{E0D98XX-X-LpR8GIlK_2Y=dP=EMLPIN-ulC+?C@A~C+FPQ8
zWGYay9xx&W$c6$2v0f(7Av%fXz;
z1^-{U$85(2RjYmO2A|RYctttn@brwjAvgnN>&$|D=%Y+p;u@NK{feJ8?
z>+5?=5;y>&6qqijzEjbcHKz$m+h^q5;fv92bp5AR;;J|4Hyf?7rl>pm*A1f6?`p?9
z5Mi3ua)Ws)nrlKiJ+iMtgnFyU3VW3XEsiAW(NL;gVPHClP~^gnT&w!Kq;%5~?eQ($
zO8=tW9Z!!jzdUPWmkq9g@X_uxXW19OKX`~9@49Xq-)N_+6&P|Uwu`{KQCR<7#k<}
zH6r_JSXZQn#aqGUlOrC!d(D4?Vfedw7pEDjGS%I|X=-{%u{o-51W4Q(2%J#~J`ki*
znGxZeKHErbN{qVkbLD)9m`%IGiQ7E0=7GlYg|(=A?X%)q10CM;^&MxRmg%Ib2yous
zE^Pp*#9LcM
zS>~&M_rHyhUQCoVTE2Em=Ag!z2fHpQz@|%By9LssQXl9H_rkq2wfg#c>rHUs^0b8jInhEPbc`cbe2y^>O?KUW
z_t)2aMpLocM#`BXoKU3zPA4t6j)U9{imBO5*6;+eq1{j*aUpN>Wfk>seWtJ2*$zrw
zQ?83tD6aCZinK#5DJwrz`?RUF%hXdfgh-%5^V*dm6^;qp*K+xdW{%!P0t9r#H&3YX8;b0SgeIq=Msjm}+Ee9ql`k
z_Ncumud*$u)ax5T2;B%1DxHL57h9j-5sa<4kVto2rj+`Op3HGNU*jv`SEtia(9jd@
zxVHoFQo{MSk~!Hc%9~7Ho%bqUZ!Az(y*pBz5UiB7$r|wP7ynhPdp1`|0;JdK^D1|+
znQSl?`>gueRs!_@*&sDU9Ym?9fP(-9y4SwJ>@w0}LXJ!3Z$zbf{N}9MJiSCZHjO`^eNl)+en~ogA-}oESTlVBYWsgR3@Ql>;H@xSdjOmqrGtOD$Cha8`$+h9FKipHy9geVH5Yu4%=eRZ>R12!4pvjgxF-x^1N?
zAlxROJ|U>QZ~n~@2kJ9z>IYRzx^^;;sBL(L6<5iYznp3jTgP|v%K~S>xON_c=3H5*
zV|NGBX42O^+xJ0jk0ai@1B=!^3l9-XL_U^4f6KfYR=T~T3BMHIa`krI+n~D89C<~F
zyG#sSL<;Bxc*>b?;L7~eS{vVSHmH=-_=37Fk$5#<`J;fm>s0~ouq$UAVa@?p|L}}{
zoW4s>k1PuJz>Twx37QA*!!lo1^Z;Dj-|xn18zGfqjSW|0*kremX|>=(Nu<
zMl-!-r2w!cLIY~#LSBHQ+~z`j7LihZ%e^XDRD@{VAqCxNf!fPPjw6SaPUao5AkHg~
zKJU=3`4k$6U2y<=HO&N)@I<;@Ls{Gw3!WVXf26b#+;E6gam_f5k>9QF5B
z`lUmot~90Z)$=FLdjB*|6Z0*pTAqE;ZjLEw%YnX=sAbyat-|H56
zO(T_sl-~qoaV
z)rCdQ~L=kHRy%BlVgSl==zJ033mS8#)IYzwMj=eONcLVg
z(rJ|YO~O@b&pQe{4p
z(T!=>A%d3Q3`Lc6ev$`m7i*gV`{md7^GvV~2&(@9a{aAL-u@u$5RPot(1-O)72>qQobk6^eH5C(OmZtS
zXD$_UJM%fw`u#asg0|wi(TPP?%a~WRPQr=g^@5>k%899qV{tmuY%J6NR~BtnsCf5}7>08t7e#4go%f$h?o%&8yAUIo3Y
z?|aMxmzouF5Tj*t4v)DG-#&70B$-Rz?yrrw!gU+1jc>>0*g?SL8#{Kn{<39()&J<(
z=W?z!?WT=J>M2H`N{K)(#SYj>F4yH;iX5Xmrn;rm)iY9j7gB44G$}OXy>8TzdEr;c
z@xn=kbSwH#{l42KkM_0*17(!r$NBUY-XrZ!7L4x$1H#@R5JE(nfRzBig&p5aRt1^)
zHe`|J#15sV_}Qf%UPYRB*U9NV$(J&IyW#Y6%<`3*_?g}6gbQ}7#eycc+4=;q=q3;z
zA_c6Px&^{x3HWm6jlBW%C>ZeLaVQJ7Z4g5({$+As31bmL?|#cQML$JfY%XV9!7rgK
zZ_0`PwhJ&9+Bc9zj!4qyvL|wB-uOv6UXRU7j@X3Fm}jcTXUO;JaY+03wHnLynsPQd
zY9#P#{lt=EyLgTWCOO^a-Q?FQWS6~QI-b~2F{gFbQ?PcZ^OnC~**19-bz>aebpE
zqI*Z0Dr+U?R4y)!K5$c(GY`eXhyV|ArT)Hl2E|R5%j-g_m?Y`Dg3GEE9qdxitCd%R
zOeNiCu)XDjRx@$3qWzZX3j->)--mxIi9DfA6;hrRl7`x6Qs4LKkn!#Zc3ArLnGUT;
z2MUz0cDZuBy_%Ec3eYKSRoQe=be3QyYueXP&DZd1Pv*Wq^Qfa|Lf>&G!=0
zv$gAWUT|#yvQ}Beth_6-BJS!$pGO%FtVz!PtO)%~O|_l_?GGrweS16wg}xP+j+xi~
zaluEIcF#UhGyXLFj6_y}Bf@D18W{)|T=Q|Lm`&^gRlLlxPwG67XEg>uNKEj7UiRci
zR%jJcG~@Ab{++DdwEBDv_wf=qv
z1K6*xTbiHonl#MKmCQd_2WI40R(Ve6nUUTFq>F1`DSSyTUcT*Ll*Lsm
zU+dWC9P-#a&jQRmvXJ`lx0IicJ-ZkzK}Wq{Oe8nKawEXcV^}JkAj8eq8U6Go7_e`S
zIbNBqIwf0?PbUnajGe1fgI}l5`#&XHnidLvTI#5d@2}noYUGXUy>u9;zm+v?;L9Dt
z55V}orx^lz_V8_0erHny>}XLir-)s^xvyeZdA%a715v8XWb3rDhRAnw67bKZ@AxRw
z%^#$VpOzM*9D6U7as7Sae5N2RwBO*R!%+?@ygpg54u&H3ti(U{oWKfy?gmtNGg@=?D31$?-MYT!6n~iCm4?N`JQ#H~o#Y_OvtP0agLn
z={dqzyas0`6bS$f;7(agUBYKcp^swsm42hLe1tUx+rhesXFA-bMkfRX4@tv2ijY9-
z4*b(!j_L@M5&_mkc+fPSyTi=>d}PZ_vZC2l1yG>+6rW^f2N`tTYpO1sgesE3pElK&
zuC0UKc6@%jk6%rhP@jaaXMU<{hUvw*{C5J9^}dvOgWUSDyt8Z!#MEqq%t4qon0F81
zD@zGWN^>kZ0$3rC2?+$C34p>T%Pt0~pWq7%-&DPqA-Re0ewb#hDO;~CQlFOY$Bubk
z1aLY9#I9P~FFA{!&e$_Qm+pS-YxGTedFN4bDo-wFtds&S{%m?#>bB{ekBJFe5zo~y
zfylLj_$V#$gtN#TQw9&QC`xjwhlCJd`rKP23`Dm=^M&x37CuRr0#-`pcJwMP8$s9!
z`tMx9!xo-X^)b5TSKL)Hni$_te4aEg%e#FkeKhm^wF|*x-QZ(wNPX8NvqMSb&D%1u
zX@+*G_DxBWbG>>{s6{Ksx+uxI9vW$f(4G_1#9u?};gu)BD!`CF26CVc9QL&!!>_Qk
zD5;fL|0V470OUm-<-=*OtelurcmBv9WelOklhSWH2M*5wkH$DVM>t%YgBTb|eLp~g
zx0i_ln?Lt_k-GPMf(nWZ%)g12KVkE~$pqveM)-#$J22HJf>Xq)GiUXvzoC{_myh#Ic@v+umM9MTY^)y>Xvc?>qqA7tsh`MNW({@(Fm}kS9D5S
zg_IJ4B@3^gp2{gH>U?`m@^TvZ9eH2MXR!Y&yflJ+3!FYyf3EnS^c6U8@5DL%VrEt9
zX9HG!WyHQp6Ozo=&=J2j`;L2UXI54S2mlXp+diGuk37yxj!fkTNq$?rswVM#mAK#+
zGLT?i>oF_Y_37U_vA1(xI%t@@Tzi>QGWmVb=c=fC@yYnw$@ki>+2`-urgrV2PN76z
zO`YF6HI>)%v+I%0mFQ=`uKm;9crQ(I6Y|g59eJe=A3P^tm`D0d_4ex}n}9?Ap`LE*
ztdCG5ahC}y^6JOWo}yi+|{<1E;;va{hira$5e`+y;>GKxUp~+)#!Ul
zLLgNe0GOr_0-8wyu%HEnbxDm_07Xm#GsW)&@_S`uR@-c`9C_R9-C%2_5d%kP;`oxD
z&`6PPfCGr3JR%EB*?Bhv52lZ^T&|<&V%sG58v8<(*!69-nR@pd?#)r()o1I((?dIa
zmv6c?S#^U~f1QkwxE)m~XbxG?!e7zsp0swjm(hC&0X1J=Y4}zh%Ln;Oo3)9s^4!5ZFld)q+?rUF+Gf(1NoS
z)P!p}Fh-nP?F$L5OfXNL<6k8Jlmifo+&F-FOf^zIWQ}t~<>0&yyAlO}?o3Z>tV$$q
z(bGUUG{-jNuwj0V+r^IMT%rG~y>7qZI4@Y3HJ1Abbhb1lytPg8$X=v>oOL*K(5uWN
zoMXyWbv9`mq=ZfqGc?Koo=tLmf$57v=eGDE2`dJaq6N%j2BqAYQ?L~8DFha{FL92L
zM|U`d1F{7?k{yLW^>kw+l!}iIP-K)xC^6QE#sfTr^AOYB;w~_G7!d
z(jF@_T19QBhx6^HIWE??tJZ~?SgVku5h;-_bxUwclH%d}YWLnGmM+|Nkt!Gvuk@99
z9%ldQ?D718%KLKx1LqjbO5aUF3jS!SYQd?*oGF@+&UUK?@7$c|Wqf#zXtMRUpy!9f
z-RK~|I_BrOSJyL;S6|eXu@Q14y%qEX
zNMQ6+IAkbO+V!hBf~OUOVF*3!ArH#Ztrl~e4^uY|<6J0}{S@E&b18=pACS7!seHrS
z=;bk6<&$nMXbBJBSW8&-YpruxUZG7?@0*my9&1j8e39<7d02w^jL%^#%-Oi2ML57oz_u^i*0NlkwE#x@(m8q@5~vQnEu?ZL?{ZlD
zxpvTyq@xe@V=PglAW~GM?zjx7dFEmMqC%CiNrq6X4Si7deXoR9!?y1QqFkVGGCOVOnr%
zDs{Zqps!e(5JUTvaiBXFHpz;_Nex|j3
zwKKBJ)YKB2nv5mG_q4?2bw9|jlDW84CZL?!f2zf|Aa9f<;Irc{uL;-nxw{o{b3Mb7%-_S}LA&aU+0{9l8gHl(H9Mkh+dPfnQqBP^1w|wr1c6b)R
z_;D2L;n2vmJM(fQD^D;2^7G>$1^&KojjgvTJxI_iLI`T_UiQQp1mwG_Df367PN|EI
zFgK5=E@lyHCrJF#=J1)JBLDYW$F;c0=z6*;z1rqppFOcRe#|?d@bG(E>s{?PxkbhY
zw4Q419YrKbzhaUNYie`qPm7ls=}jruMd@MxfW#1sNEe?lLP7iT<#1W-*0rZ9#_wA_
zWj5;H($7#u@6H5kX}+&!0>@T-U)ue^tL>@r=`pWh_nDdEkzp*bpYjF2LV=rPi35)U
zg3DcD28QDxOgRHktShZeDN`DB?U-f_pU~#n>|ll8CV;!gI@X
z2F$z&XPz#iN>cvLQ=Je_gv?g_LT#b#2HfYkYihPJB-<
z;eF=92cOEL;U*x6D;n^&8`2tByhBg@CaV@2_$Zk$NNK-A5(S&xf4_zjkIEH4ST<*J
zejRo1a7ZJ^ChA%1qCtKHJ?LfcTJ&Y9f-)l=E&qc5ory=8TrvT-nR#neszmfZZ|ux_CBRJGXLwcoAG2uL
z1CD>K4b^1IN1x}3=>+bnE#JDU^wb=D|E$~syc}T4&TRi%#{nT>*~zv|u4N&Sk>eQ(
zBVvU-nlfn-={lA$llH1F#bxlNk8VJ_#xs|C{hq7x|4p21-irJ6Lwa5*$kt#F=!KlS
zatN-hKFCPIUDZCEKXaa%HkNfk_K1d`Xp0z?#S`yNCx5fp
z$DBB{NwJomr+lx3n65%2dDhCG991J|SiB8&2OqcKD2uh?dvGcdYy%Wjw<5pgv~}_B
zVYwX^c9khUPpjOf>F`BO#^b+>N1spG>^&cf!S4g<%|cNejO@`6wY^uqWWnFMgl%Q(
zNenAy4GQ~B`<#YNucgWk^r}E1`w#&~L?26#-T9uJ42P9zn4|?*8kj>WLuYTnlEY=C
zWLkUSD6rNHTYrXT&@_Vv9Gn72L9^Mh*x)%*kmwIFw{cMgv%x(nM8AYLe6aRhv$oLrx~x
z>{}nu$EL3|fS7M`_F@l5WByfG%2CjpO$l(oI>0Jcd$p}B4T_RfH+ZMaFLz4~X#ECh
z46|k1S#}&bz)mE61_aRiDOQ#`JAL{}eU$mC=J0ju*)FTwjzR^sh!oz;Q;KfsnT
zOw=w%!fwoN_uAvYLN4&u&HSAgv{Fy6Ku#+}C)rvlY|!1j$~RQzTjaGUtB~J0Po-9=
z1irJm0hUvm9A{zi1lHAr0m(!tp%Y|wJtQsD%611^(;iAs2(a(8zJjtM&-1`BOn>Ws
z&HspiEDw|li1V!3XwDhsV#`9o@e9lUSx{@~N*?F|?ZY)b({QRi(keK>E_msi6bm}f
zlSQ%RCwp-~pX{)VLS&!qXuowjR8|JV0K5lG#kF4S^4syrcUpI;cukN*g1~k3Kw1Jv7og|@mKwZ&
z*PP&f8+F%0`;OJ5<4OU<{cQS3?8UTXF&KWraXaD#bF7@@X(t)_y%vq4kV)x9*N!|z(c)Jpx~JZ0nQH(G
zeF^J!KL9|al_fm`Qe93Ku-{~&|M=<&Z>hgw<+>v
z0jD>MbSA+c?`j{*{%}x!NPI`?mK;cY?k2HQsxR%yro#vl0FZ<+w>jQk;{?bNrmMXv
zoAb)L*{(!PKztJ<2Sq)3z}(&j^af@f#__$%&D6)kBLBrVCg)HJ2CWLvUoj$k46tgP_weD#`ZY@CD+UIN
z8CSHSet87Gxj4j<9cS_1WI+j=cIMFXSs*|k$gHVKC)xV0Ud!P4lKkZwkT0_z2
zE|i9^yKZPIAW*sh>YE+rl&+$_;=L5b=(RU>s6h<58MnqPNSB=i`M;&yM04;1z4%p7
z+DT2F7MV#OreV~=BS+>WPk6{XA_Ff+TvJW#VtH=^gm9kVO2p4?R
zbCD7&r|at%x$`f)jkA}{Aq4hf1Mm2Qc%&Y8mzP$rr{3Ac4D`I>P|Z&`pgF%vZrOH%
zg#LgvF<`i1@4ig7V>#O~oF;BZ#VcKIv>R(T|3>-J?u9joU)zrAjJ8Ui@0+Ac9We`xEqNk5@y`ju@A2iDST94)k%$S6tq~k+JSSXsj6<1_oi&X56Mp2zv8aWcTq(mqOO2O>
z@pQU@SVfMqeUbrJq2vO%rx?^eU@hGQ67Te}Hh(J7&cg081H*t~L
zbw+2t997@G_#MGwVjuK4(n2d}yC)poqJo3!T#T
z`qK+DK23{dhrD|(^q_n_SF5m`rV_&vKsj?=Y;LE3R^#c}XA42fV>;z`y}aM&$lTAT
zs_9Lw?2=7A+XXC{->k1di#+OVGkaANJRwf!=)Bn?fw~K#Az>nY2XX18FZ#6Fd5{RI
zbUbU^v{k~cH)LVLDdTQ<46@uj=*)dp`8ewltZC)gmC74+o6e(WR8y-CCdh{}0EL7@G&pCU9Am|p34Qnn6uVvI
z5w0!Hj((ggT{3t6Ht4(mABG6BTr8Xkr@y-OQ?zc<`st0dh9mC9UDCQGYR%rK49{{j
zIa)v_OYTCScOJCpsXihCwDMrYE{0`d3~H-Lla{4^J5Cw>LadCrS!P=so(Ymd56F;Q
zWye91E~pdJsER8qQCHEoTp}MH_8GxjPwnf<_w-u$=bG1U(G?4qtgt@pP7D@`rfKf6
zQFkm=7FZf4U0U2!+xD+^c29*msZo`M>mKUK=`);5y&~g0IDsO>JcWA*h!#zA=aKf9
zBz-HkoF?Yhnt9W^KL=I+?xOztSNfFB-^3;32DU-Zi5k2boc7H8;dloXn+hUu?O;-d
zl|7pWZKiQRW@*#a_5GlA7njP8!Vf8+`|mP@GkN0XBI#fzvUpV#_+%ZZN!bA}Xovxt
zK+gqGD>umUvIx;;TrX!SFI7@EY^F0O#P-TQY6{jgR}q=3>Q)DJ<LWu_1y+_@^~5*@@vGV|O3n+|-Z>w-2AU#2;}KCm}2+vI+XjOxdr
z0J7T<*zTFiM4$GFZoq^MWy%62CUMi#u7U0Jz|pYG()UV(X-1+~IK@SAA&;*R%P-td
zSk6rPU3q`|L1j`mcN?O5?YSrU^PdT`Q^%)8oV
zCzMLo&u=_bDxy~*{^n+$to&8el&eHKR2B0`y(x5fSeq#3P+t}X?I-D`sb9gNUvfr^
zee1T83#oOhl>%A`n~*C$nV<^k6jZ3&eaW?xo0)i!Nk3^npX3#hFLI5jq@Ovb&Xun+
zu_W?FPkkKYA|T>zKYXX%XFS}TBznd=q2D~z4%71opFiQU2Ythmo?R7co<8jkY?0ns
z9b5+%B!S;b(Sw<^5M6D>Iy{7FYDA3cZL2Z?3(Co3sLA(Ka=|DyYy=5G3C
zZ-B@1tV3_lS<_xTcMgIXxLqE)00ETXASTxXx)&V5W!>;aI42ctLJo&WuIp#(ckL*U
zGsVo`1$WD)Lxk0)!4(;Irx9qT@e@}t`6LKoXrJLz`&0Ss#fldzrEAglbw$>LlCx63
zyeu_=ohf#?1=x>PZw#bm
zlE-E9kU~lfLiX*F^AZ+UO_y8(M$2mMhn0au=6g=7J>yrmPdgfVo0hDyD$%%-U?Eym
z<*`UJ42UVlhWYwTS+!4QSB5PW;ccAu30h`#GC-k%t)NLZw++NdMmZ@+D+*P1xl%c3
z<|FDe?H0=LXT@&2pPMPyV~oenyx9vl@_WrRG0mdC;VR;b`h+3l7TOosw<`!rV4-O6
z$|PaE`64;MqUg3mhLLnktMBDh)UV3B;I(5!6(A64ZJ;EQP?6pjp(~(LMnuzh%XCw);oB>cO%~czgMIp?rvsDFF|3QB
zlZ$Zkz~ucWKN$d|z1cRq$A$vBO36ZzNfNk|P+$X$6aLCkFpnEdZ3==QB6@N8wD!zn
zERWb-5vF_9P(f#IVaI?7kN|)Du6R>rTSL(KE*vmds1&eOtRcQ(K!!V5RN-DZpw10-
z&0Hxt#sq?^sTGLSt;xfi4tn7DnN;Q~%&K}!q6H{&Wd&We@5{BjzR5Yu4z+haIZe9&
z==gokD-Tc@|6yfacTqViHm0@j2r$VR<{zbX5#8kLOeT{PntX(EhGw5I3p09G(dJy7
z3Qo_!H~t$9eK=1;IyloQpTq#WbcyZ1q$2@9s1saBy#Gj{I`s3O#2W5qT310nSaFV#zoU4d1G20866a+j)
zfkDh5O)y6QFliz_s-I13<)yfyVR=>s?#`eJk1Ly=t!lp-TtywrufLkUWqnK(knBrR
zJ6@|+0HcWP63l?sVDa3Vo7Qga+$=#4m=HdQG-X&isv5rKy+yik13*CpUDCc8EbFPQ&ZWh#I~PP2%}mIv+Gc#d|RW
zGy_o~z&}1ZtGz~=yP34FOr(Q@A0+vtqsd$J^MUw}=jE0
zfvPqg98Q~TSjb-W7&5#Y7qT>0gl$|D;zjpfVeP)t%_KHVU8|=V#VJIwpA$of)3iDD
z7apB=C8A)wA<%sWiVBw660St?ep_e=2jUc*1C;EyQ3j>EW=HyKi70
zevopoqBez?5;$y7(kn2PbtYHnCB)K7w92B@uvw_>WZbv{ypsnbYrWp$zESW1+pdhK
z7OPs6E%H>$R8-MT)UFAC6
z7d_LPjcITFLesm4ao=qqj=-5%3^?{1$tu%oE?jImO>85%bRn~Oq!XfQe=0is^zD++
zz@kNNf=&&L6pM&4hKVZWs0tOyX7qdv5j}VOkJ4AAbKfKU83q4rPSk0O^u2!{{`D;s
zB`%xZ?4M{AIh`%$1*bgt7I=*DBxw5RZ!P46UAgm%nj30Q?JTY?Zx^`yWoQW?S%EEL
zr)rl`@oG!7nuY+MYPeY7t!ut&UylR4CEB^bH5{~;b8Y$b9ua9jtSt^!iGQf80v!Bh
z)8%x!H+*t^U+?c(>NouSUvPh#AQ*w0MgVhF(u12;7xqnXeaqNbp+%_WM$h+}59g-?
z(mzali81n@b)FlRyI^I)2wc2<|Gj0J&@Ip%&4GRO(Kv5=XC?b1Ciw)gZmZ?o3*Tct
z@zXt#H%65Kf}kmfNE-Y_lO&~ZGs8Ru-FZEO=3Zwt%3#ZT=D)YaHge96Zhc3oQ6(i6
zAnG0Eg_FN>4M7E-Dv~9+1!ZpR&k;ZE6dvGdnB72Ofb|x)B)%OeEQ`52R436mEQPB&
z9jb(4WLxX0hrDH@`zWZbY+{ktD_OR=jfhvi>i50$=!I30|GE(Wl|}!U(=^areUAgj
zkcRqbA%;E^lv%iLXUa_+c;K^w3%_hqenH?&u%PB=^=$%%0TOxTG?z_52Zxe0SA>{p
zf_&(AuHv3F%{{R~IDumAOg>UF_AHe9U(C3IZy&n6=DwyPS{!2EG$4@645sx9lGpxO
zsG2{ylx?0~9J6Gw%LE>Ow5p+s%fe4y60jYr=i8O2C4jdWCEe%G<%eDikm!fS^we
z`VxhI;>X_Au;Fou6}PONoxD0jm;H5h1HXO=6`kMt%=QgCe;`Euxn)RAg#b@goVP~Q
zvqo`fsG^02#A@2^dyZaJu93p?0S){EL4e=_JMb(@3%jUFV@a1pk3|6&pWEi2Rl{SSlTp-wFjQQ@FAtO
zPk1Qsg)>}X3DEg4sJEA>M*``e2L#n_eg4SdJP}Y}zE@6i@?c#JVOYe6W+|GV%!%>9CM-DTMeLfxJtyTji_GAW_Xqfv&*Q
zGqFdEvWTB`$;o%fh!B!--+!`8#+EdKP9J4SL9m3W22>bLt`nDeNM_P)QcLKQ8j1<~
zQd8L1z9%A?QyK?PJ$21!Ii>h`4B3MYa!q^i(OD#F2w
zlEWWE_licY4zVxE(u@oStoKJcy={giQbe2w@STl~KIu0ZK}6hu;6XP!#}jw~@qZ9X
zG>TQ=uYna~F*Gn5NF1-gtTqZWZV3CZB$f$jV#>78V|Fh>By(m+
z1>%&__L&6rt8bIs<09=9gQ>>sdVGiCk33xl8yQ1luT-dAWvhWJg@NZ*01rL;+3P&D
zN8yInYWM~zhCXUwb$G^hO)DR)1xOL#{rRqK-Crk@)c8L
zAnp#z*rHD7=zY2
zck^5urMB8($19L6S;Xroo2^V*Up(u_HKuo
zap|()5>ErfEcSeyEz1zq9>s;Sgc%^*OrxYP2&Z`&Ba8+pjhb08hc2dRxKz91f)#(E
z&U|JQ8I?vywu7U4#mSXO$>8)2g}|k(7vxBOfv*5o<{M0?~eI$5C#kIEsW2nh}b?JBq3CoGA_Jcfdp6`OE)FW8oDq+Q!{;614FYF
zs;HRH#nQp(%;1%kC}I;KF#WlY1xvVbLyE!@qsX!ZDGAiVCO_57
zd&(}nD7AD)S|M1Hc4wL?pt<f&`3THt>C;+
z6TUM-+=8_`?}D)bu~2)gVx_D^97E2XUmzl2Lbo5Dr+@o
z^|79cPf+grOfp1nTp~4P^cuVI`F2JxuIeO;n-B{G-Q%?g^u#qM4&)BSXV+n8tqh7}
z*@C#L4M3S@5NF7(5VRqSFU6tGhyxdX5;+1ye+Qvfoiqp{BrOQj!VDfz)7m<&&~!RI
zR)GU7>&St_)Kj1v!4bnCJdyIdrw*+frW
zg}c8>rK&_EgG=qD*tSv!T&0wmHvBV8Z^p-#r4+7M~{~U1D
z(z7X`Dt_$rI&n$k+D(EGjnvAB3wv5T5&S#fOmhv%V%)mZwxd-_$y=nVp^ZlgWhm^1K2%1X>8z9f8%w07_w5
zOPV8+N)&gc#G(q3dbOpZhg9Teg!fC~f~a0&<<-IVlO?|EW;Q8w7vZZ|a^_SV
zAHU++7|JV%hgA}pAiOpRb0A1~n{xW;6zS64i)X*j0)bAinUzw~x*($X1`xWmqp({n
zh9N!@rHU9W0EmT0KbKObgnXq2o>x)O*IgT$?p-@~-}|R>W1dE9o}Wbz@b5rzIoT&U
zq)+4VHab&R=ii;IN72MR{$P#Niqi~2<(lc-Lv{%S4R_XI7?0b&1L83t%ub;2B~zV)
zvWAJf7Y98Tr8yzECD^Mz1){>E$M8p@y@W-AaHDeSdZ73YbF^XJv?&lZJ;$}w*J>eq
z3nx#;@KdQ$^d<^2lLAsHJ9zYWZ7DXnOH3iOf4`WW(0}!Ru<3NKvne1zB)!%u6eKR|
zw>1X{9Ty2rx%=_@1L6S@r}d&sX6yS$M~@Q5h?}J&-(;{D7RdOf72~7$($`cx7_+?)
z13(0_j1}bb8H;_#49-m?31)!u`X_GYRNW?41!1bbx5z1Ie9Md;z>1{0VNt0!QyJn3
zOo1a5-%+gS-Y;w71HGr?e~ODK!tSL+JvmVWi$^RN{&?j{bK-peHOx*o3booy&JI8snR
zQczHlP*7A<{D{eSzw7$_183LSxt{HL&inPc@8NMhwx@SKrq1MAjG)-31u3K1egX3}
zBK!H`nJDz~#`1r`%YKiX?xczw-j6%n;Nb4!U2<$~c3v!1StM?8O(#cXXH3@SR&(j`?%lvLc{lGD^$C*iX7bN3d0Ljh0d2qgfUO8G
zlW(dHRH(x+jeAuBy6$0oi-zc%c4Oz4!M0CUT<-XofWQZv@avRIl6TMZH;}H-anZj9
zBbBen8I~gL!OQnI3)IdbRVtBhpYUXQ%{FUs7+GCSw-x;~nBPY#61TY#@DHusy*tmX
z=l7qPwwM**Wgohq*r@~%+>!Tk7MCK2Rn5z?Dm!ZsWJzKbSwgN{{wp!`MX<<%-($K0
zt^l-Qc)%j*6AiS1B8;a6>d#mBT}?0(ZKhD4iSctbZ}2MnG44m^_mi$EojVfyd&0;u
zw=c-f3g|V&6Hkj&kkZ-DB9Gq$!i|rL!zFv(I2wE9g9s(-P@C1`2gYzR>6){c+=5ZDva^=;eWLi$ZYYiT`iy
zm1qxHGu$aiIG(rfFME`ZxWPb*0R!t`Bu8kyGK|#=0m(cO)L}YAwr*DW${{SG^}$zR3@UGm%@lQh#n5~
zN-hwAne()yJu$N!dp`Z_RetoWc1gxZQ{5l=^){pShZFw(xO&(LfGROBT^Zo_L@IO;
z6hn-tAkt!=_4vv&X<4qAE86UXFup*Dt*KA|#&D010CN%odI~!433()_JU;1;{v~X4
zwa3^tlx$<@FxkQt{xwaE<1l09j2`>Xb6N4-3EQ%4g^Qh3U(T|*BZ`SDZxU2RJ0)%U
z$MJ*|ZE~Jp5!NG$J!u2R7_D%oB7g?yI18h-Ra<$I(~eUT#zBhd@ucb;sLA5cQ
zUcBC!TnI3U^r(U-LvvF#@X~|HH&uV$8t!C2(=<9|v90o?{Nag*rd0pekw%%Yy#4>a
z*oaqob%X@)tdWogXWu+C{KR~5Jz2vRx`9irjmW6S56k2LfCvde{yxY=;vPVrvEa~l
zp4oiEcx1)w0el_iccO`o6s#uDWaetpQdtZxHABeUvLhj;q>TS@Wpk
zcz2H1hZ7F0xS(z->sA_jZb5P?rk>dfbzT#
z!Rfd@3F0mtq22rj!4WA)G{#bU9P8EHdPn?j?BFbe-ljZr_mR3|W>)4~A_lLXl(Eyo
zY4IX}WP+hI2;YEC8sSK>9p%|lLRdO(bL$=zekJS*0?p0k+|T`u&KH^FK(FA-rKwVJ
zNV3eXqPp>K;XAjF_)4uTg4Wukw{tuADte}`@%HQn;>~Gl;|<67okQjq4&wcLa>mPA
zl!`weEuc9@!OtLzcuVgq=4hS(e#s)`#lJ4*kVkH6{~g6ANXdO}d!uZgnCpN7&t8q;
zkb2SPAg-J1bVejN%FWd|?fw1Y+s=`;FANv`;VVuQ9o=|@J^J}?b2iC%8IrJmzt^i2Htuql`K7T#KUiNEcKh3z#5^W0rAV@m%G!*yBd
zEQ|NWQOPJqsi%XiAj`O}@*bX+m-Ca=#U8&lK1-ujv^Xu+)`
z_l~IJQgEp2=Gf8gxS_*LTZ@e`&2!@?P8+CR3%lr!eOK09-Bmj&9pp6Z2m(0bsE@w^
zw%MA~hdkp*V|mHutmOUr&TW8G)1%6r*I(Z@GWC7cw2Bq?frrBMiV+E4SY_zkuQpCiFKRK$xjq4~qa!Bd?
zCfzq3R_BP5;{{%c7LoqcHa@IqG4zgYVG>9b6VP8e+vu-N3ja$|1GR6O%9V(TCOw~4
zN4~02oG^p7Xgj!=G?*49JNC1}vuod}1AMYDZ(FOB)W0Id|xH7Qpu9
z8I7vSecqNYlHLEi7ocDL1#J}KOuIT`86+>|+2vDc*zs6=Tl5=p#%uKcQ>8$17h5_n
zIxt7{l!82TYE%lqRDh-8M2YiY{C~$vtn^~J2b1TepT=?hdu
zgg3VinB{
zwR!oZls6gGL_kI1;W8t#+Zo3w50WR0Xz^E72k{kJ0YSLhl0C?dobx8#5iAO7)-WPd
zr~&hda4Wz{#m;dDFl0UEz{CTn^8t*z34gjs#SQPS;SxQw;JrPHHQ@}~f*5ThGPD*`
zdFO-As$Qs9#@tlJ{!7z&3dKU~F*+C&hjJ3f7gS;d3TA+Mu!HK2h$*F@G&V@w+i-Ii
z%w2+snKb636rUp**3AiX2V|NyP=6npkiN*U!hrEbel-wmT8bq`DGrzeO8^KHJZwfk
zk?fC0s&FX2kg=
zXmw?kb9C?eNVuRY=9dcmj}z~)f$)tER{FbKm~UK1M;hr3O39E#Gy_FGKw)KU^iESb
zI?1>qk&v&vkz&kGC-J`Vh<@Z}V2XjH>5%Bqi^2J)g2mvG{%Rm>E6DB}N8;R9$#@I>
zDY2xgIjEKiWhfzM4Op)-5cs=@ccn!ztl{Z<@W>)#Ehr#OJHshGYR;x#G?|p9sx0iv3XOlsq6qnMluB*M6p7>iRh65YHtj%=_dLsO0_z(*>rI+WF9`0Ugt=>121H!M
zVNq5Q&@okb7s;M(h^*;0F?ZmN!Y~&sCbdEH+ok
z-NK(?sm#|XtT!?@s5zzYY8lWDTKFS@BM6f+dem%y%7-xhk
zUNS`#(L4-&-Q#cya1vATW1cUs;aTp~S`Lv>4j6>{f$>E{OdAktDHRekjD4M>TN;g1
zm&WO~wh(`Jxn*{_2HwDbNhLnkBh;!{(}d!YK)Y=_Fo*Q+Mx}J1>f{1}4NwfN)kn6m
z?|rUe{5=jkWW6mWRPxOEISIcxUPA(=asyOO@ZyOSf_|yGNnp7V!K$E^)Ys2EdqXcK
z3L6~U*-xW0Va+}acx)0su|#+k!R$LHN)m5hT{F`?65^O==^VM}
zB*i)bv<`f8c67yf-#VrvaQ=~I7WNZ=Mp
z{qGW=asi2)%sGGAyj-YqGaSI539PUVz%UB#(&OKveUta+EvZ87
zDh`CcU3cL_{izD2xF%X_Kxlx+oP^?Tdnt@1B@Nl$QMTh8S-7gKrde6rIVv@ORx51M
za6t8GmW~$#8f{x%rJk~A+x|By1}D-3oi|z9X=qh?P}@|QU{?Ne7z1=Xgm#L%+46ph
zX8E98`&Z?d4N63o(uBg5`iGYF<47Y(m?~e;BgtD}yCT@I8}nt8BQ#B*JVB8wXmEcZysh|a^Ez2ggbKT;TSBF%+jRcW??X}
zSVgblN$Nd=ZR$Ye9(ZNWmv=|^NG)HCf&&jjkZq;dQjD;?I<`)UC5Ck0oes7qxrrQE
zdPkAt*Lg~57Q7ai)OAVhQSWRDwh}pGtfhL*eWv6?*Ymc8lgbORBb?2~9;`jwrl6
zWrE;ihY;-us80cBwEU1SluV^rr`9~;&BJrWmk6ivzi&wpIE_=_=2iTx=6;?0E0Hgg=J?)*CE7MfYt~m-yyQ%G$kxLOXf@WRg3W$y|kDSr?qJ
z$=xRW+SB-&m?ZqkbrtzcB2N-sso#J}6zSS-rkLRAVuH3s`OYq+g82|_$0SJ(x
z_8kv6(^v)nbAZY*D)O;|9Oj`i2zy#a`g1u4eGH)!9&L*-i@czpC2n=vLlk>?@bB73
zjw{!+H@GF%ujc9hih+kINHclzIaS@I4Cw(3Qiu%2K#3+D&{I=`%Ns1YVAk#q>*j*z
z!u!6bl;GbY<#yWJwCa)LZqvqbFJWlbF;7fbSXw2w3&5xb2z94jyal{;ulq)-K2d)D
zP1$K{`;5p#hf7vYvvpTpI4;Z?g&9Fl{O;IH6@(Hkz_Q10040{?WUtg`>s~atG%N7J
z7|T$a)$6%=(ill5gyTAcU|T4`pnw_^w66umC-?GJ{#3x!8GD?$p{VZnE&0n$yentE$wkUD+AAZgLXe8ATF?z)R5v?7G}%0?eHmopXJ)V6R)E>JCF($
z4w&k`aqvMK)3kG1mg*3h@2*>L1M3vw6rn4{5d2h98ojGs!VQA!)4|Mvydjx~c#Mg_
zAR-uW`?)sHT4>s~W!hiZB?YV>Z7|53dH#22!`V5!WdkI{*?c~;z#O>kS-I|0c=1~Zt0@q`Ql!Q?!lvWvDd)VJ^^vzpqUWD&wm`CZsu#uI;UwGaw4h+j!Xd{U
z)4L9@S(V
zb1S7~N~tWKq$vOuN1q0i!Ps=v*Rkl`0iM)9k$B6i260-39Dy)rdVqkdkrO*C799Hd+zLVEKyK3E%{Wf8EP)?}Wh(mEKVG(k|eRZV7&RVNs+Cg$@
z3nsTp8_8YY=N&@=;-RK%L4wKZb*e*kAritO#TB)AH!L{q!Y$N)29!Fzuye?I&vJJv
z_T4WEoBUzdRIc#&jMC#ayx)&pXV%DO1BJz2X8+@8XN66lvu1$}(1y}qeFQ{m6|Pjq
zetMc!ypb0w!1Jr?PNzsom}tb>ugcWB&E~Z~#fIa5>
z?Q;Rm$elm#x_zsl<_8~e@1CW`_bKqdRJOSKM07Ow+zVQrSi8I%U?@Jc
zo2vMex5s;u)*ZOb8dC9s4|fmi4>jOyhks+CF8V{t6DX^-W`3e6$dSns!J|`CP)bhouLY(dtCALq$qzyq10tg(=wl2S*
zsFTLtHJ%VYpS*twOxWv91$>>s1<%Od#Y*LKi(T*5n(K)
zb;?~#K2XMDOF5tnl8Ac}H#XRkf~sJOV2rPE8B3*3dVM&go^Ck)Y1a9dU8z0;Ni?(9
zb9iN~C7&FqDX85nc$U+sr(XJt>{}zAXJ17U{Ldv;^RWK=g9FN1-Wi{$6v%Qkt`ibj
z16kF!Z%%d=9#qX*ntUAb-85YF_ax@(JBiXFK341gKb5$(`0Fano&Ofw2;N
z7`;gqHgYevkp*C}nBwqs$5j-XW*u@cd9|Fp;riQ`wEu*7q-oP`+-<(L#u7>zdOT+I
zrAV(6vq!jXDD)`;>ett$zr+dV6EZ`e`U4Fus7=I~JXjX__vCflEXm=1(0^iSqD!ZZ
za4Wa}72>0=6vs(q9h~a_M?<0sDc~@0%{_t|iaI=R_XcE806UPt6|B3Y;Y;Kx=Zz1~%Eqbt
z!RbFrup&A2D0X&1i!2SD!h<3)l{fzO{-OcW|D;*P{RGbySUjX}ex6co{A#k0i#uZf
zE{?jbVo296%VNAidZJPIwuzS`lFa`bH>#C@p_tCc54W>a_Z+_*Nr$iZg@1g|?w3_9O45
zJN80|W8LJq$nVd&4|2`BZ7k)!6I;9_>Olxe&LE;Mqp^Rg6}T`Fq6H*->|i
zD^Rj>K2cT1^G#*rIPOftVrW=&qVmtY>ydK0VG(B}jVFye?mZ6^Na{qyDQlj38UcLe^*SjBWn*B$3O3p^19!#}4I*bPVg7*;&D(t}L-{Ww_|{D!)#okp)>XGEiJr3-9^#McWj~
zUnX%t((0qLVm9O8lX&~MrBf@m?awAZ1ilX3`Lp-!VYX>_*s*)o^dAQf15IFA@q8)g
z(EICxXTK=u8uWM^H&{q7?+Q<229G;GKKpvCCEFvM{OtN=akjIU8bKYXByHZ0^YhPa
zk14f3XT1LY6Z-MbKr}o12pFNY*AUdbVlFt}ALtHyJn>7d3+Zei6!}+S}_8TQRPB%HO?f!rM
z5?Dj5G&z0#Nq5i@^nR40!1}!c#_-8}2A_P+^DpfUtW5`E)TY|??HK36x?DMh|TZ4z^vDde#KP|=-J;x>z
z41(Vem(+}1=`hq>9Z>rNv%?tjXerrN8=(nd#hV#XXek&hRV(!pGWL9K~8BR@5i
zhbIbU*|YQkX(4ZXE~eGraKdK4uEE2&kbH}jA&yKo4o}G+c1MdHO_XOJSWc7-!|+rK3s9l|fgv?+sv5a(tQRHp+Fzm|v^CuoX~8!+Zd%s)yFpA7JRoiI
zf!8=>%qSI&e|c@v8EmjNKVD89E9N!L>EtXpM5+c5vzhcflIe$L$qB|JRmUjZRx{h&
zxFp)NoFH6n(V@SDj0)pYJnnd)7&4yLOYu%YQw>oSo@Q@1M-&I9CIIOMM|0|=Ss^)H
zFI{3^)tuYFoSU`v3Oc_r#?-Qis^$T1=Rbq=pwQRvmi*?(=hYiyn78gvjE-`5sTdVC
z-+ur2`XmPF)76x3N+ruPf4#x4dJ7bMv5k(`PdH3vA8FoCu{f6@I6lal(=oa3_V|KU
zReL^f&hsbEef-&~@B?kiqJRDMNPo+^@(;GLODu%gUam7viQRI9ZBtJIVChse{gKkCOU0^nMU
zsgpTNa#qy>)THCD)1UpRd)4SJ@F++?VQC-vv3}OCl+m02bkMaoBf;hbw&!fO#gHrY
zSX>@(1#9xk{|L2CGJJBHMHwE8n(MUrng3vhHAk+hNZ;4+Z&;PY2BkpLf+juY#G20^
zbDg!o_ItE>$#bpGF;!tP`QCYT7!RA;(wh&dmK>=Qr0CKApi&7?vJXZ^Pg(}{mo{HC
z#nnKxPbusjocB%c&J=k316L}xQ?4owqnQhTE;Y(LkmBS*6;v(cg<483tNy?ha)e5d
z2H9aRTOfxDSS$No@|#wvvx>~JDv1m`0CdBQh1#tkUS?T
z(g({{?X6n1PW}&^jf?D_YKvO6@UROGnDSHqK7Ldgpe!-weC{N>%*@>R=K^*Snn(k%
zpMgu#$GcyiOrP(>%jw#fxkK1Fx%y$&T+hJG{%Bu2-@b=Trkmtio+6)r-s0RfKtarDm%Syt2Xb%*LpMDOj&V$m%an
zi~(*N_u7Kd;U8}ui9E_p5Tk+JC`#aQ-B+*AtSDM~ldFpG;>%!k`VuCd|USXC5V*OtU=XMHd9F-2RxDa)`!<~<$5&O?wK2IZ?K0`H@-t;
z@l@!IS6JtVRKEpG5b|v58|3LXC%YFQJCy!$U4ehTrfVz97m&J0HT+pW3&MM#%A$|5><{!}~5m
zoNpF>`--b?oKYq2&z6a`XnWx8O(#mx^14ri9;pK&p9cN{6Sw}fofa7I0CO!UkZJ+I
zM_Z^Sv4LLU4TsxKw5UwS8mk9#&%G3b`pi~+csE!2GyLX2FWOw4y<45t--3h&T#t%d
zTdcBkjn6y3NcJc!e(&gNKVtJK$X|D0v&=I=km{7RZK{5*jLl9eg(}f_`ssz%_^fx?
zv7KV6;Ng$nR9*_6Izzy|i+F68D(U(`&G8Cy3vhHS5~PUWOFgr;L#%@(t(@ym=lqMJ
zLjIF0{20_3%`mNAth)_k`MqSNqQVBVF1#(GwoJIk4+{hW(Tf>ahJ?izfI_reONL
z&=KeSvbQI^3p{K8rR7L|=ur%t3_|I3ETqny&k5h34F9m2geY-^7hW~m=D^8JH2KBmtSr+H;;tWG
z-8(awMOak^8}uPk58xD9rltS>_E309vz1;&AV7y-jL2>|22);6gnyl-#ubXk9>MgK
z(jO^a{1HbL+(^Gd-~OQ(7E8^Z)U`d>1nWQV`}Oa0Ha%-I3(3{ol!OZeY$AZ8cfHF<
zMOWVfhR>?=!L+yU1$qSf7^$d~T|kG&0^tT5U;_X!Aiw}pCi+o$9)|Kc3TeOqkTy%4
zQWqD5A}OSU?A0{h*LVKqR{e8-qq+&>xEa|3KMzbovNp2f6C#8GN*XdOvS%xsP7!ns
z7rmGx``Kh^21coP{X%o{upQ3ow?YAakAAX8E(SgX9GrbZwHyY1!GaeZDk+l$a
zM(xK%y>I^K^6l%&lRwLlf9R+2#7DE$#@pm1n6w@%*Dl5-ggJc=NxPn$EvNG6D0KM;
zZSJU$e5hNMK+`ZU;(1)E_pT1eH>pJt=scC&
zrI*}o^Ltu5PGA*u?>?ya%5REGa{ry=pBYdJ8ETpU9ehePK1ya>gbtW&8kuIKNv9B%
z{-hyOCN8E73;z-R1djm7#?qNgFSwIyhDmUS2|2~kU%$8M@r11S=8U1H)Q!sl!MxO1(~O0S
z2*5PM$n>AJcgEH`$mmVj`<0!&cMz>(rIc}=jM>+h&fm!Ra*Q0j`Ogp$15`w3k$Hz|%@NA*t8E^z2;nta}pXp4yY}@8SqfMQ4
zyL;@)1l&FJB@1DA9l}P^JnoNfvSCKue;qz=|7{C_Ab9Us-%io`_I6g;{kl~T5;zN>
zOMy8_^=A~f6P&>jruTQER(ahfvaEgxZg#VZURJz(_V2I%=HWpAfFoN28JV>&o#x$6
zU%QYET``eeAYayMU~_uGnRyb`=b#UfmG<4A`=Z{oeO~6`{(#T~p}d
zSJ_Y=Cb&031NLp_L=TGkR>6pqy8?+V`=cAV*vGvM)zJ%X@9gr+L`_2hM?1jZ9jnEa
zuvxSse%4yQ*SlKc_{H<)x-0tqymjnFJEO_3*j9P3-EW`5C*5h5nks!ns#3Dq?6Xy8)oHnLDJ5PyRhau*#E3K*yrJ
z$A#!Ln537pON|y67^y}k2+PHM|LEgr7S!JV;cjR-gk6)9NW>1ZUVQMw+3eIHTB(B!
zVo_s^ummeIfCs0IXdQ#F;kDbNCk#9}2PGu}=7=)3VV$gEB%Li0xiJzEB_{7kW07hl
z&7pv50{98fsHgpy>Y}Hrp`zF}hKTiQqo8?75lFNsm3Do`MC|&Z3712LEsGT7ukt+J
zGoX9H<=Fq_r!knaU=b@q0os!wM`Lyg)Lpy3Rv&z-?peFodU%@X+e!uj_IdQ-?hB(Y
z@4puM?ioL4kO$~rxh!@=v%||kTmz74RWewTqvDCg^Kv)(-bM)x*^S#GtnM+5jNbiw
zTJ9mrMui;W=^OesA4jH|7QKI`UjHy1Pn6(Io!g3iZI$@u;hOj0mqX=$v@P1hAuwW8
zSopyq&*KNGyTW=l-w)TKKd*m%XrkM_BOmWG^fO%Iv+Z}-6h865FjNWh_T8e-W&2)_
zYMsxoeQf$*_({dU{{--$8T$umhj+pNBnc$2%V_BM6v7x?dmi+I!Rpr`f&RJvRNsU$
z7*^7Jo*;I!3<0cI-Hwvvz_W%18vqA|p;sWUH#STL1;AfYj=D_0
zbAw0cunJW3LEl-?bN8>L+FrD%_CtEDK5Vg5&g1#x{d+`;QnkvUxS#aj%W^Hsn>olS
zEdiFtOeZvCZ~O8-r;p>1x|*AvDQS5%NJacZ9q_`%sJ6*}xDlOGckSYW&;fX1yDlT^
zv0T06*9Ys9lNQ|dY?aaO$AkzIOTS`m8-gdh)1%QViS`gQR6;I9-BeT(nl|$-KpO`Omvki0eCU&ik{yd*M++jvH&l|r
zOD=_VRs4FqbLoCEu}7YC5g+R8&BMuZQTqMU*^DO*9>p!jpACwuHe=G9`}cMdv=?r~V&W1@=+$psuyuZ@meYak
zdvO~}O=rK01b-tE8I=p!8B;9;0L(&>g5a7-24opuik3l>y2$`
z!5I>d2ri~-loQYTCcT{&T>8M}5(U8-Vjv~g0(5ytVOWMQD=XQApnkXb`VIL&2@lM;
zahxcveKLse1M|7XiTbllk$ApPjq=sIZ_Qx+$Gcyw)WUmOc98xatZQrKjcjHIrUEZ8
z+3Ib+Y}o{eKnFn9*ii3F_XQA23!W!8JD}py!yJ($5F(h+f}g(~HDFO1wj88#0>c)w
zS*-ZEmPZW1Yh{AQEBvs}wVro-oML4E`fyVt_QJ@I+8*ZU2NJ&>TMb*3e!S^V`V?ANCy!I6IsWt7
zLo$R_s4cSiq;JEEsc*iJJ3iHBLah6&1eG^WDpW(?CKWtYPkyW4pn2=+#l4wkhgR?F
zC1a!N>ehn+R>?s);oi^>udKcWVh0D)v&Y!}1V_G^Eb4C#*6NGSyHr(j$y%_<4p3@v
zc|H4J;71x8=;*k2XzS?5H_A+%&&`8^Jkbk}P0e>2f(e|WrXegpvJXH$@(
zwxalo5;ntsr#1O5vl~-Obyzb-p6bz>BiZyCT$xifFVo3a{-rs=qBatfUFfrAuC$D^
zH4*qnIlEt6L<=-$Gi;oeI|^YU+!@Mva2Swv;8R*4`fogQM#x
znhjN8=;noEGR|og-sLFVS$yxa0{*CqE_Ohj>i@PnrreBOSaD-#1kI%z3tSHk=gH<>vs=pAHZ4A
z+NRY7-rk#!d*ajy5Bz<#qTe}pzStz^!^eIr-5SN9N0N5!ofaeKr3a2Kt;pT^E-C)D
z>r7z(eg%J8)#qU`p`^JXH|4dE2j=X`P{0@;)*1bof33c8jo+@*(3nXHxlM$E2$+7!
zFJH#x?*w%a`zLg0jGefKyI4ot$OfF8zx#y%Ay!T!PQ7L(D%27njh}cdyY_W4J?&@k
zZRMu|Z=bj&S{iYBeDJiL5orCh%Pw%(ku4CTIm{G`@GGBQif}j=JL)T|9K-2ks~lhP
ziRE}Z5@WF*kuH$2-}wk{E&yu8nUe&6Y;mXm%wQ2(J;<0M`g{m)yev0Q5lZH?rV1&9
zJ#d*!HMrd$o_z897@N=m{Sce1<>5Ya1vi|*k(oV&5CS`Oh71OQJAZxQlfXhNBo61&
zS#*GZ8+9~i5QELX_swq!>t<307i=oIeG7-n{`0d~)*ALaDgTQ;cEq9WsJP$#b-EB0
zZ-2xpfWc;BEe9%(CbH`%w&AJBYU(SUIp{(e8RfL+%+=A=xCKX|fvlK#_Udw2sR
z_Yqan(vKw;mdSQNI3Z90dJknnF8@$C9mxh5I{wbiUt8qY0r!%*OmVSmr*eWVE3uS_
zjJMB0K%gdtP_B-#!+${K%Q^R{FZZ7u4nUyw#lY?45xD~rItE~H{t(Y)EmTYl|zMZV-n#!2|q+)8dWcGZFWmU6r
z@Ef-c4K)L0X_w0vJdN@C7(XW^NBd}Tb$c1}Y?k8O$TU2a!<2(Omz5bH!tQr8g8OaS
zR&=fLs;G!#O^3N-6_QKU5jH)>lznO%rJ>w;M^0ml^<~FExT?8f=HpGjl2or|za?ub
zzF2J$cUn?>efr7v>6RtmAdX9}A9PUmNX`AP{#6~B(n8F(swo-OIBnW;J7%G>`pX^F
zpRykA+NvFHPD-=#rd)-;EI;^~GX)*5*wpc0vE$xn_0|12SZHxu8b+#vetQ1Z+gSJE
zn9^M6@Cj~!oVf!gaI_s|2tyH2QSlm%HLkTI%ALryIYue56
z+zOwwFXOc1#b;`qYzqZ#aF}E&Wt*(i^*KdZM7gQaX48Iu4_44pXD4y)mRsL7uRe67
zojVBtu;}u8y{Fk#LOba5$f~fbS`Y>cs2QfzPCu
zFx5wfd>A|k9<~9kco}u|iiS@3RQ+*Rs2zkSXb=T#h@4Oe9)=%UdME>lGgr1g-ITdI
zw(VHMa`VXW2G8|(|LllEWaC$H-_H~w`PD^sYP;QEMVvF%NP@UFQ@q65``6g6iLMAz
zQ`+O+uY`}Im15p<>iiAClXx=gv#JMw85@^$^NVC>sW~3WnOM*D&uf_0^hF73j4T+E
zibqX5`b16sE${;hMx)2g%HExpX_*_wiF9b%8FP7TO=4Grg1Ia#|rNEHK=e6QX;~E#cb`&q_onuMqpz;>Z
zt;Y!aqU>oSHOiScs1`b2%EzD;(t_(3v>wJL7niGF
z-`#}&*L_0QEI~-y5N2>u33@k=;^`}@r%8D<*Y`c~{reAVsDV|tl9(0if!7~;MrsVK
zClx(?QRZY*mb3%iToNA;jW-}tzfkb?!@Sop)OKR7i9|i^3pw6A0Q0cOBr*OVypsNW
zQL)HCZeA(v?WT?^
zsZXld!!xP-2#Hm~F+QA_|CK`wb1!%-zt-n-hNegn6m(9+wDY1&#lMV_X^QyT!_pO>
zj8@9kRFC;kmd-cp?qHoKpy%>kZmk7x1j1(9sknamr
z)WXvw>&;g=?3@t3hI45L0Gk_g5Ch}!K
z!9^AjWfChf%Y+xIKt_=xAS{__S|VZfvAE-flm8HzCdx6E@iBPcOfx*pl!O{PK-?#R
z)0vT7p*jD#`nc@4c)JKVv<6{ChCWO8hNMxrA~Q^+VX_
zBs&kHp6|>CNV<-b*oo|9lL)ve9cHBj2bAD?B-lH36XSRZW_EOX70gU%2Vgv+3{yFL
zVFu9|2`C{t0HE@C4jj@EW>e#<4JyL!
z1?eYpB%4xI()7i$_5JK&s*Ny24b&~d!
z-sDgd^_i9x?K(s|U=HA~aDnn9ot%jASjns9i;EnGM&2%8VgTC=)w%>{2+TDR<4l9P
zpF3CEgt32%>R@X0wz#31xZoU8-}9uTK#l?D$aC3T&Ic)3@u84TC@m0Ey@8Ncf<}{2
zhtin5koXD>j9d`5{5f~P-OB!{>w;;iKZ7Doj_1p!%V18NS9vvQ69mk^?`zH5*Bwr=^JotGXWM0ai$aO}>@MH5$C9sLdsD8bS<
zSi6-nq|7;3k~mJu(nCY^iTu3A&$-NbMSU>Xie|O}QXSC2I$+D%O=fjqc#2BnhGnoY
zZg+$881X0>0q6S5oegHgUJxRD>KsO+qXar%fmCLj*1+^^unu&qY_`gkmydVolIYh;C~~9h2ds
zjgKnqZ_>NvQC1pN#Z@%mCdtY$P8;51}19igkFrq$ya5s$$j+pwlB
z6?6n11JAx!TlGfqX;PuGwvI<;$0TaZCnY!Qj(*POHfa)lzg$HAXfHq7s
zg1Le7C0WL3&q`5A8B{c%F1448FY&GNNAhy6AWKsG`Ns}nm+Agp%?VmA7*>HUD_Su$4Ql_0gY&2RhA9@pe?Ql+$Eo!)msp2q-d*WD
zB!Bm5A9Cz@=iUIPt9KSA(f;;DwT>-seC?u^ZNaN|G4+u*FEQ+
z^E}V{iQyDa!B8Hb+KDe3%chW9NLV=-34khn%@qy!^8?dnEL>xK#tns^JfRuE7i~6Q
ze*umGir}c_Oz;{DQzb_@NGbp}@_rwZRIe{vwZ7T$En5*lOQIk)iqNF>x1z3XPMw16
zrvwg0fSqg%HaBngT(Rc@;5hf0xJAO9&wBV&dU
zThm}lL!AOjFx*E;Kw-r#zf>byK_ZOooD5!k00;;$(c{l`y#W+pMT~&|*Gi02&$F^bfkzr^gMKL>~
z_OXxqt@NQ{+w~7Aexy+Xai7Cmq#p+zp{Nr*0_L!h$w0r^WVc?PESikql0kpq8WM87
zig7n4xwG3s(X6MWqyijU%?8PqAbFSn56gj>^^I(n(%xin-xTEDlYzTv;Jnpfx^@0>
zG}6ElEbx{GBJb5_gDlEPS$Nxqb?2hRS2I=yuNiitPyrQg;5mvCiF2gWa0q3uoM$*F
zvl(nK2e}K^?@kUuD^d8mV#53oubdhGmmNfYFlIA!sr$jJl?T|m%k8YXsh)c*EAYfM
zZ0D!Jx8+AG7??LU;9@p*qfSQH_`_yhM40zOB;?9&N+AGdcuU~(!bjAkDov~@!PNx$
zlJ`dC5v(`_NK=M!^OUeMO%+5Eh*Y>OIc6e*n-J?ysu)2_m|&=KE1jZB_Fe^&uq
ze@DTlF=eZ1m5mtFFfqbhL}gIC_fg=x2S%$8JRtu&y5NcmV~=R+BNIS`;kdG3_%Q&Y
zx*bI{qogJT=7SBmQ>4^~zj!{v9`h3Ma9sHas5D}|p53pU10t=DJ~4A?G_e9BUP}2C
zWR6Iw69CqUAHZTu0w_u^m?-1*5&(~ixfo%dRFY;JpXv>^0T?Y?@RBI))_oNz+5T4n
zVm1@whhGoFs#Lmm6@HG7k?>FXfrkK~m2>jI@$=?He`^SdXOnP5NcqhO9+5y>#S8f37
ziqJhrY%!e+&@!AXw8LR!3iEz)+JGn>cmZ$zSfH}d@0$%8ZUT+|J?$F?qV2%Fg>R($
z5#D%2Q>IfI`Tk%5*afP-8G;>Cw1Y&0^}}$VhqKX7Zs27|UkM@*u_@CX)Vh;Kk6QyE(J%$gLFYu?lUIW1o~;9_hxSWp}aq7v3jyf2xXWc^@nu|8Pp5d*b$&Pck*_
zQ>owtE7Y)Mz@T`(l}FMD36DZIMrh7f9gh8aO>Xw)Kj$ZRG@m!=NF|?h
zYOkWw1z|@7xrfT^Z|W==-^36We?4qCRPo8Z__N+??WWZ)XchGTpd&Q^{-Y7KGxSJK
z;aSA5a-CB%L8tAP99p{3V-2O5C;Up1jMEpjroY<%qb-%Fc2NRd0#MOpsdH>+)$-}k
z8pk-+r+ZDBj3xZgCeUiDp&rZkpWjz~VmP|#k@s9QgRg7%u|mVtfxI@~)v{^(^t;~{|didVxHWjy=Adf;C;Ls{If}8r9vlDGPHEFI)VH?&JBA^(OlOE
zTPvwuU;HyU2Tbz;Z~k8XU(VOlF&x%O?6X(e9eB(SKh(Kl_=?}RZ$$`pl%P&HN~33bYV!>K2B{kKeRcIVjBS{)R~(5
z!`v8TT#GDsAXnEQLPVe^magTxD+PIdufFHS_v$(98`OddYu)*v!sEh$SPdZNdB;|R
zusH4FjL*u|9_?z}T>s`>N5dvBbz;b1Zn5w>*HP^-s<5
zlByU4W&8>40r)MD*u(JBu`)QE_NwQtCNc6%_KWQgBL6-7^YgPi2h=abuN2-^pniv|
zSvUT+R~c=x0f8|PRX_}>>(hOQRKOCXO(>X(Wdp!&Uuv>e;kW_{e)WcL0G4xh0l@13
zb~oiNjTx7(d+5eES+Bvpt(w2A4-uyJ*TYM$h#zSznd`^7fXrqC8|u89?fAex9tbD*n=4a!WVl=KkK!w}2xJSCsKiM-WT-oN6NaSQdWYJ7
zsIV|W{)LX^w>;Xo-VjO=5)Ez7BhEKpE(&Pl^s4(Gc48`%%&KipSU1hZy(xU+JQH2K
zg?O{kV%GK?Av@*e*#NGF5mN~OHJRs=kn0|cXz)KC_#LF8J_hTbr5p}iBA89sq7yWKRI@_@O$1+R2$R=d+%eV;Hs#CG2U
zk0NLkPi6X?xaLt;oVbE8v7hvImL*)g`^L6b*vzwd9X*3-J-DVZZSA4Ag@*yWz5`=`
zK9<{H%DnkoYoh6L!_-%eHa+0VGa-TH%v)!cAC?ae!NnpfNTnfOTx3=
z7^W`qhi*xO84g;=-u;zIhr!2MyWDa%MDa8)HTTgZ5`nJHA|dd*_gIgcr-Si`-Mw?@
zon!lv7Ld12xhDqns>HcEzLkiBrE%&Xm(grr*2b9<|3O(+aYXTmsAJ+%l@;L%@{>8%=|TYW!t~|bR$tDIsMG2U*DQ@85MHR(AK~`VC-d`khCr2
zz@XgV@jP5ln1OwWx>=se&PYz8cbqISqmHpgJL1FIqFS!f0Wn__ZtCa#PFl3Es>#&u
zCh3}H3wGcw^&0Zs{Ub(B6i|N4^cwJ7jasU592;ifZzgh|oMJ0+FZ-fsUOY}MD`Sdl
zyaXP9?nF>OjN>Z_@j1KDv&Cxe?+(lLbWH$p)$CF%!OvY!+>AxLKma4VN+B;~i-IYN
z2Wl-vsZ?`M--&ZwCOI+cUa(zD6tp*qr^Z6pS$u;6!z%##Tig9rok=pNj%O=smSvxzzrp)`
zPns?jp7IQsdG1=b2anYdB3;GJ6m%j!nML1(l`+mWK!8R7LE2EfHKJffqe5K2DQ9%B
zwd@Ic2b-qPqulNu)oy#_A$;roqMO?sNK}@O=#jO1E$6skmC
zAVxcbiA0efD!$|S_MJvrxId}dLMXMwDrfR
zyCokt!Me-B@0{Jg_}0vs)TiQF#vO04Vtq-a-iDcim}}p2T!soBE6*$$`tsQmbE%uI
z7_YhZ;ZH(X*!oRTd=&$JN{-`Dtje{EW=7$GN@RIx$GABvxOyy$`&uO!zO2-@iP6<
zX0APusC9{jHmD7I!`DqbmHmW@5xq?Fa~96%9zQg6Yu9nL2r438jJUe-LB3z6s4Ept
z(Jvq5Q`u09@*+>C!}W&Z`-pUhoMXVuGMYk9;i;7cE!oTr;1kDw?tr&m=gPSYNzc2CkRxXU
zr)H3cC$hin-z+K@uI^A?Id)M^p&kXmdv!9H7KhN#b1t=&m@XyBS{_7Y*Sx|ETd8F<
zjs)IK9{ctB^@dk(wy10}yBd=+e2VD(N7J%}irH7j50FnC{}ymb&*|2gsO_RW_{KH*
z=Z?waa0(E9@+{C$@
z&yK36(r(#_p=BR)ddu{XdWJ_FCAhIxC$>=>h{_xgkh)slt`WJ_I&sJ0n}q!5&-2!2
z@TiODPD}6!WiU5Vo5~SA+6^^l4U~JDtc-+;VP9{Hg{GNOfQ2&ataW;3^y+-0S&1MJ
zpG(DqtI(wGM+PXrVZkVW^X{rEJa#U2DJN9%H*gqrInnHHR_h?H)h0vPVeX%ZwA_R=
zq=QHYISjQfQ?tg=FAts%v+DJAGI!D7yAH!BIQWlzxBnfwZ8xRyw-~WY0zW-xF$|$%
z1%yMUb^=bpM^@$9VST>^Kpo&v!=>97)B%Y=hs}Yp0d)zFyl}QqdcFa|F&~yEPBJX$
zJeOfuOsqrBfXjCc)Z@Btp7_p-`fjATG8<42YIbtt|GGisJzIbF@Gn_IEvnNUS
z$`RW@#M2jWKfry1kUL_Kv%?@qx63=%6m@C5xk7$_N_r1|!^4>ZZ5^!Ak0k=lXoF@B
zj54H3hHX{gH^y~CNkZL3o{@uFs;?RmsH5U@t1%_Lk{k~`)bz5T^JY%48)E%9#{rKx
z0SBlOxIu`hcL8ojF0>cb^vM0dkF_$w(6Lg9Lcm;=u2+miV~GuPO|zB}1=?2&TfV^e
z!wZcE&44-X=)&2O7ohJrj5cuMp-M^O6f$brlRI}g_gao`7Q~LFwn<`IrmqUrAvTgq
zEf>%#_aFR)SFkm2_APJ{ZvsXv{-KtE1`u*($chpPV?RhOKZB;Boz+@
zh!E6TSSBVXVnMK_3`Toiu-@vl-;}ZEa{$|Q#$bvkBPr5S@RED=wujhHU8`ts&Z
z`TCq_Tn;mlXO~!@JHu1Fq@6xRt3`PuE{*41=6OToR`!*T*IU6fDw{AHAC-xS53{&B
zwXiueVb%<^GT0o0fo-?6QF#fA;SSAAwUrwbMl8cND%^Y$Xs)SBQS50N8BUjwhxR?@
zG9duK<$+K1a9e+}Ucj{KH`?yQc++#RLf`y2eyieMe+I!B
z01$5u4<#3C6^~(!0s$O?Le_C_^?lO9GcW7gsx8#ObNN#MupA1Y!T=H^HCo--l$V%y
zCTY4Z)2*AOef
zW6BgvE30%>np8i4N1@V5AHXLr8^bhkVSM1ZNOfCgdm;N;^Y=GAJu+WQ!gE12@Z62Q
z*q7nQ@4B;Y5!00IlORf6kU7gd+mNS$i-pRJ)Xc8IHy_)N76BDi<*!JL+H7VM8B78r-S2}gNp
z*LOsZ{WzZ=jnDNhgPBdiHlpBW6rL*+W>w~v2kSM4j$c1L>6XrfO66RX0T&85kZBjX
zA8->P*eOV_yQcO_1H4)2PyO*Y1c%ZLQ#`Gi2x>N7vSwl3XFcWed7NyqeDKH1)jD*C
zZzRYA1ZUxZE9I5wyp8K}6e)2NkS6Osdf_9jkq7wkQGKrC8kX$Km06|pvG~rvFBcJx
zhw{x-2W8Vc1J|MYZmhHBb4)TaX^(Sy718W1g$8cRR36F$nBxAAEBQvVxGVt&+4yfB
z>@at?xk$BoR;!N~wk|7%n-z1Rwpp3a_p6OudZMXXgh0Qr^ubMz;$UU#R7;)M;&E-*
ztJCWSU%+#xb&@vi*GJ91*(jL9Y{Ls;-n`ZY`7S`d1ggEGOOH$PzF`QDs?7;xcCQ-b
zBwd8rFGF1hT#l9$AfT@;q%Ttnr|l{Vi4noArb6E}s9XcoPONa1iWdx;qFfhxl{Ha+
zv{BQwFk;aqo#dHSl){M6LT=_gOBW5`r)+9u)TJ4EE_N6c#$2%R7|6rtJro!TQ5Ec2
z<%VpBViW=h;=tTce3L|83*^^BnswE~CZOMMM52M>XZkyIKr-{kD^<2TP(Ym$|bG3S9#FBks+~f=xTveS8X3
zKi+6Fa1r&^xYCDQ8M)zs)*Kg)tOw>47w1~_STkW=C(OuY4vYKk2^met-xUg*CZ4;w
zy#-+)N^{*f?;=yUsg?TF@}8HAP?ybfEA!nj%;$Ft0w^SVw$YPQZnikSZ}Xk6j6IjP
z4xePI-EnXtlX+%|_2SwtvChYJYj$s|QAM6Q(@U#8_FEU|n&T~dMv4#`fuesvA@f9y
zN`cd9UUHHtY~vi{i*~!S8*elVQvEU~aXg2D6Htoz?Z+U!b#3mXjXo$iWeTEtzSWh1
zSv57eb>|bI+n<}r$E4*GhheM6-pxe1&}W$cT84;B8;s!O{DL+;cv-;hdax-c*;_-W
z#)mAWUMEdKC^)_@2QY57odbZD^ow=_Q|t;o0vc{x=4z$GFLFj#-Yc}a_W5<6w{|l}
zl?`7)|y;l_^V>?wVVQzM7|4t@V1SRoXEFhsZ6}V=%l!2)SDnJaQEx=tbgshu_{0ne814lysCo2(Im_4(ovt?giekB8c(V_TAs)y=wSz%fb6N82u2T62ECqs4b=
z*cMp1AYm?Lx35~~!M--vEd{)ywltAE_5+EnCbr`mP!CbBk*RM5bFxvTHs4%E*{V08j7FyHIBT
z!EI!eRbT?N0Ev!7CI9n|?1whKmvi%QfPjpRgNn6nfo9@=apu<^S^y$oC=fPPaGD$4
z9c7vH(`KS=_p{cNPd{xZPk3p58;%PuI4$r8+&;W08S=HL+LR7WGglR_x~lLYoX5mz
zz3T}Nh14nwu-6#Kwq05RAJGEQ+bT!p^({D?(2@2S@
zFVRM{g7Ef8A$svHTpg)k8XmPIh6wU)74>=rnsxHmd)F?$ja2ueAOQo2!`b1rqs$wZ
z>AM*%o-|!3<+w50{l-fMvl^RI8d#o=2uxsLFCX2M_S?K{HFlGeUS={?cMImc`xsrF
z2`r5BV&zmlpeFCYd0Mew$8bE=mO-EgTed}8Uu~Pw146CFJgO2h18d4|{3d^>E{-^y
zbRxe0Nlvh9@|5(dL3YG8KE|PoxGnMX#+<~%kU9mSi(~?(Dx2`x05u6R*=%qS@EQamWcSqtYmV%C&c2z}?RKABUS{q&&(e({e~vT6v>y)YN>*w08K<1Q2%7UMN}iZck4W#*R(baB
zxDPWC{1S#hh+oX{~PBQuFp=
zLMePfJ@8}0*Myy{p0?rW3!p(v`NSK&0UA8@jQJB4Gdhz|>0#6XOevE+jz5SVC>?fC
zw&l-Ky$$1{)`zwn+I(*f5HhzwN3Z&px7dEu**F3&@SbfJi2%4V0iuLN8Tk2qh+rh~
z!(^Zs7_=f_PZd1OK-v{YDc+5u%2Q{0#y$WzGVYk)8pzY&&T)-0W|TK30}iy}
zCp(Ubd8$2PgaJrRWnYmTM}ZtKoGC<;1_f-ed8v9QzGwtNu?rj}O0%pz6U0z329
z`M$@zEi{mXMCN&t3cw>^Y!{|f1G}E;cL?%wh9KzkB!+Ps72`0D*m3H@sA8yi=i1ot
z6jq*hd0DY3IjDFmZs%#n~
zl*WN{Lp|E@Rlzbu{jj8uv_WAJ4*#T*!se-E-8dfmB^F~Vl${aG4dj_|iyuT0Yw&|N
zothzjcPisCD5+jPb}(e`^1JwNJ9Lo0rS8(iT>E#;Xj{Rw8MuLtYwgp>o#L7Y>M7D)
z)7$~yBv>$>Xn%E>KRAmxubZ?BTam=_**N{biC{CokmgT|Mv1wS}Q5aqhP~8ff)-V_N!~>>g?v&Me
zzw7r#y~@NnCyQ+e?Jq>Mnjnl%mKc!<%#oEwpxXHTcHSFp;-v6LgUMXNz8-{aITuZt
zQ|Ij&myr&0t=9o@Dtp7}{n>gYdG2?&+C9+o-foVdmdkYaBY(WBQkA
zzRwE;W3h*-wC*)z0YVk@1I@>nrM$*$$w&3U|J2fV%ScHSoR5$@q2L_vG?7w6BT3U
zg(@yC$fL|b>bAw^Sxo+YRZ`hk-JkgKLe%bX=Vq!s&?PrdEUsj?xDs4XH}CsK&e3VM
zQ+4qX?tR1drYu)pOnP^>XEqYA*=Utg`s{URoa2De3#%`yZ8F|+|%0d
zQS(0jFrB>PO8(XjJ1&CT7zesnG676e?WWIVB
zwiv)DO+QNWb+O5<6_7|_Zpjb{zkNWlC*7N50)2SbD{bV{p*{l&ch?l}SLthfvez$&
z&)59$k><;}$4p%!}q^>KD0pSNZm2b~KG0
z1O185=8VwD%mG`5)3TyEQK{*)x7=`bf(D2FuPwjJh9S>Jl>1h0Yo0Vz(KcPahitn?
zILe}x_Fc=S;u0Ym02FU11?!o2%>`DUSQo0sD*Qw`np`HcPq
zBjdPE-Ux-SltU!*8RDjn6QwqlEvV#p-#=urbj3SkBM3sz}11VF6byWcs7MoS9PP
zuukK53Nj%51Vea{HM&QixSss3WYHci_E($Bn`?wi?uZq4!D;jJ+*z(oR@E;zhOVMc=egk6
zvXm%9dL?eZ4REfrp~eF|eF%pH7yvfLM$aMI%f#k8@kg0Y^@UQs
z+DN)@K^#bpc@VUNy8|^y)pX)gwpMa#?`>Pozs`~w%c1Myn6?8K0e`NZS!7u{6fdE!
zjDs5>ugdE@(vOxm>?iM0uh4&i;NEcR_F)o0feFN0vr>
zS%uuZI82(9*~Rl@Zy`oek+gBB);qz?Qn^K3JU|nyjhERJYS?JggfYZ}0Vm1xvrHNKmF46
zBFzj@>=|3p6PI5jy-fCo#F?Hr@Zqdz@@QEojSSHw4;nUOHA%cZ#VR%-2E(c{Ej)zr
zFvplRKr9>BGgB$YA%ZOBK_xu5pF2x3!|*E5BR$ez<{lm6(q^$@iCx~w1WqpB+2vrBF`E;DTBi63sKk?Wpw
z!u8Gi31^;+h5#}Gu_*D#xn*4kgP
z$G7H&)n%XC`ATQXGd_Pjo{h?R&NCmU{WW7~#zRMkKN|J`h7zic9ICk;Ue#<)ck)^|
zCj_UVcrgp_#8tvSzRaOgQ`Q_!tBW9OEUL_J9*y*A-`?MouaBo1U9_AXhr*>c_^b;A
zp=ZS=Igwlsbi;Ftr73o3Utit&Ab4?0ap$<0YQL5KeBR-U7hb>bOf>|aw8H=|U5T9{
zj?)bNY$iTPGa>{56Fv*tJcD6@fm3M5(ivRT$Ae~q(konwVd$DepEu_}R(il)>*4vV
zdL~l;2qm|4kEldEEFUMQPjWkT#?f5q-
zq{UpW8x9F#cp3~q$V}bFh=_1yl!scLhnr<{4(!{a5`dC1C|<;5$dRGRv_k;BY0kL7S7dv;9pG6HSN&-ln(1?V4$t$g%3ru*H?D@6I*1IeCkw6$%}o#x)EcJO8`m?ND21qv%E
z0>8=9zglHX1=g>5B6D1pIigOitP|KQK(v|iw>8DYkp3S`xGMnI2~Bnk<1EHyWD9}4
zkSB2VGLG-F7~&F#;&@g9No_`b^rf_vU|Rvb+tmD~Gn{Bsp|kLarFz;Z`RbNoh|v^e
z-7%R>67;6cs!~a=lFADoqj3+T<|106%z~-AspYP@w-ge=)$Xd6$e7a+j#2PoEFrYr
z9aiEX$icP9BWNLJm8@ve<2rAI4`XEiGaX;5?>yH)*i>}>x~Jt?+W64hQL0XHo>uk=
zc%a%*9vWx86iLnu+6D>It{nT#6ZoakHe@g|A*;YWelc{d9J(9_(PhHT0iNQ>5SRIE
z6uTct$e=kv0a5d{QV)U{YCW;$=g<3bh&|PA_tf7wMH#lyx4?3=cn*&ovJ@elA!*8X
zl932XU;02#_K0<$>THm{@q^odd|g)tH9@KkhZy~Shr>&;S|QXM?K^Mvt5O8Nf3L*zgwj^v-
zqiQbgRR0wzyyWN^?NnB898a@56i+MQ8T(T4@d(|`0?(@@o`H4rrTdbCOP7KKJU=Ox
z3>nkbGS+C@TgMJf?@_|X2)(Yj%Muskf3QDMk3mnu6h+W16n(aCI!WEc0
zSW^|ve)^6idapG^tyGg)h@iY|p3NLJEJaCC7Hs?sEojY1NL*wruPP5`(KOovLApS1
z$MtLFSx386e3f&;-e_g#`DJ3*Ear`jgtR0*`fGOj
zw^#Q(3SQYJb0Qvn@gu=CGlP0FAxG)%Vjp<@6BR8L+0On2QnKXk80}Ao1U7fpk`c|8
zg<`GXmTupF&0nxierB$MziTI`_Lnz`42DMEZD=voVo-lQ;qHy)Qo6QmCsD1d01vRS9d1kJs{cqs*8=3>C7C1Vq>Z?Q$E3b36&$dY
zV?apj>^E97_u36lEiHy_mviH@PLs88JBpe?wvWNmY9Y}uqD%@Morf$_%7|sx9RKqL
zw!f=<|0K)huOt4sp@iFhsSh_t-F$r3D&kv;k6@_c*3Q?S^mvzw%x8wo0NU7$anyj;
z81>;a8UX2IMy?49e;F&+@4+6}7JS*3OpC~q6}}Y^v}k%-Jdm=Rg(d3(L!
zAS3FY3_rL=NlSp%}SDbR1-JX1Wc
zWFUgb;E#EAKe3iq(*!C*(cXplp&WFU$@ES`euC^GiQGG|t
zkgK?3&E}Suy-HUSJSFsBD>Hd@=W=qz27h~j4GtP}sl~kJMN-xm2cZq$L^~W{%6{@RrHkVxGN4qLb7*Dso{YM
zFDKfsO$u~>GqG!s3JmpmFrg;u!rd}UzULE-WBH*qswJ3RBN&cXNU4~-`OL$|3z?su
zwIn>d^IetW`V!I>7@T%+vIDTgj)uQhaMoRM*zv#V7|nVFX#8-w
z%7sr`KPRlTIRvR*TdGKf8sn!R2qKFO11#N2p#&?ldj%Rp{vQx$J~ulyptQCnkM!xn
zK2>4(yPOhTfZ0{bj1qqeysXAwBGuYjM5M)ubovz?=NrnoIi~#oPJQ~vG8)FRqm+s0
zh2#nR74syG`Zx<$p8YP(4a)kL^X$X}P>fA!@P~ZslB}7Vr4H68GhCjxEMPOFw&)QR
zZ9B#)ku3A**3|$#-})g4>#@5t7k7t8E3UzLZ*a$Q0{c<3!9e*)z1Zh)-CM>qDMRB-
z@PF%zt8S`vGu7-LqSmOGgEjIcl_t-IaxIYC)F^Pp6jkj(3qQg~!{~
zjCS`W-~9aaMgLO9SYY%&r}!tGCzxvri)C&DmcC>?k5|4mlsGl5wldQ};@q5#`nvMi
zty?VuRs-czdF4@crmoqwGZ>euu8=E{-(FZ=5zNhL>3IB1TVv_kk6*a52rzdPmOyZC
z3f#*74YlZH|BQ`1o7D7tS9yF7R2eiAO+i2gg(6TAvT0$KP9rsV^$lg*JnJ)VrupRR
z<(UG~84fg`H0t(dHUI#2l@eoZaR7r-=lhf&Vv9mUZ?USP+dxw|5a2I8LTvc5DY2e9
z$C@qu7f=)>09j?&$g|ze-*;7%o>*BNwCr?$$g}!9qf9;qRB}`!fTR48&91#VyOiTh
zmCdYv46Gr`mgCIyF;#J1J5(n2>gK1{IZ!N<^x})AHFqO#^S-^yTj0;vz)ta$R`nR_
zzO%rT3dt(K*B7X-jk`H7{oiCdZSC6Hk30oANRbT7szk4U`W^z`3=GRpn#(v#1y*j=
z`UR^A2SMV(G`>}_2~3r$=0Dk@^8BQfCiJoYcy;(DQe-)>sNLFKLmpx$ws5HWsXejGf;(g{=zt8BgxZTy~_zi=XcuM2-6c3CMORr
zsqh}1A#+g);WCy~|0!SM8>zIlHhe4X!7RfLl(sMBs5TGFfkYN5exQrq0?
zW*N1+*P5jdKV2X7%4@C}(My0U0pqF>1cPnzvaPL3#fCKCPl@ADlWYF)J4PZE1@-^&
zKgU)c^}q8LfC?NqHq53T8-qr)*&e)@*?TDTMXrH1gMOy#bg;ES)O7c(s23sG`9IUk
zM>FjMMh>AGg
zD)bI&R_TB@o%%G*L4Wsvxj<+ItoydgoYz)B2-q<7ED9>TJ%6i(ECmyvIl-Hwst2ch
z&9PT0wLtB!^(vobZqPVK%6f2kTQk{Leh$gab|3^a%e0H8xWxHNsfwK+)hrpL%*6)i
z{aiemz+=7fv|sxusCVWVjV*BUR`zx4#kz=<{^i7Zmy!+jCdIkm)5i`_ettU});f(j
z@j*5FCegPXPc-x49<#;{J|QnbQEhC{Yy*N2p-73&3)en@f4>CTIO%9HD<>BZ=tbcu
zw6AZKv2>_%Sq)J=ar#0Vdg+S&#Sf?10eLw{PD!L`(|;|~n9XEfUSlWR?C-Y6jR$^Q
zc~JnmFk?LfXGNFw&2O2lX3Rag{nNRI`m#iAzfd)r4b#cJUE-K2rT=r_=MD2~y=MmI
zFd7xX@wK0m#_JKD2JgsiQlnHUOV^@jS6*&tVU@+0*W~8|2gT3+{e1Azg;)7`Upr@_
zzlK@|zn(}+q;DJBST=j>HCIh0g-E{gtaB%))3XkaMUn_>4Tp|zAoXeXKIJnXd!#J5
z^;f1Wnvx7>>2)6}tCJoJHe8$K_{#<&jd7?0OK({QNUBC9vW5oGw^J$YT1LR@ZbJhKg7>y6l(X*9V#_t+W9?doUr!#H(
z$br`D(Yc2{bf^C-*w^vs;_8=;iw9mVRvf(j_2So~zy7|4m}E)SD;9EGSEjL-vijCm
zEEXPIc|$NcG#F6v?R4kLTl-6g9_+37e(~4Jd#cIdk&_imS6u)75P0eElj{{f8V~;a
zDc0o3^G6jw+dKdLoPO!Z%dZu`ZvXoCE7v4@TK&>;pX+~%#h0?*uD$g8!NLE&SDGCC
z5OC?wlg|Hsv|Kv+dGG(e#J=CObfxa+SL;h3-yFR2M!xshtWWTlkLs?hyHTM1>DT`f
z)}mH08T+S4|Myq@$7V)MV^>eX>c{K&_*nqE(0D94(kAtGgBk(V3|vyJ1ua{@sF5cE
zpgEsrc=!EL{;xghxJlv05Qkc38m6=M_Ba*0|gTHQH*y33vhz?n6c@
z?M7m0!0iS^?=1XKvjTgG=YSKk>!`K9KnnO+AVL?TS3{wd6$_&ecUzb;lr{5|E&V^J
z$&}BqF*nJi1MKy2wMhG-)ozQI_e8r$BIFKJ^u-j!heyit1=XAxmFqh^LaW8`H26_f
zm4uJimO#=0j(R5@+$zHm_PkvBs;rJ(uVKGFdB%KY7(WL#;?p&vYc$mRu+}FKH=2AVm!3W@B91PuVw`51PiXBcFyXPduJZN4vpMr6y0Xp
zy*|)_vmeqqzDMs|ODkhoeN}Jdn|RUQtYtZQai+E97qQ9Uh)mb(D=Mr?Unu|)12t-d
z;l7^KK6ld4I>0EBW_*PXxCWB5@yct}jV%JEn?RN%y>-Z5|N9paRD+~g@qGMEzN>%I
z2qMrQ>6t64X+%bZjQP?$LQAjd+Kf--YDC5tV?Dar`qtU$XMn;#i9@^fZ
z4=g8H{1asRKI8MMU0ScoqQ&+v0S)BHSrGg?YIzOBpH8CkOwAMe?XL2XkIBDzl6Mhg
z%#Bf00p7v(%hfOHc8&ao<(4IOKT@a33QPMkV^>>04BK`C?-XS2=7_r==ya9tKo3yU
z>{Y~o4cCioqiL^18P2h3_Ouf7WJmij8tSQ!>p!D-v&Dd2nuM4cn{)eWL(S0L$5jll
zt_BX%^^WT=eL?Xg_L@*)wCN|`;tlCg`%ivKxnle~O~Q&jAx5qE{OHC==q3bgU7?Q>
zK%tz<+nfM((>{rVj8XL3s3vs!@_nkiI@P?5wq=xN??iXbq`SA#H!jhsrRS!C)gFm-
z=pkQMv-UNpt-<;&F}^pQOSD(rI^yxS$U_zCe8JKq$?5B^Hhjj|=7X7EBAf^uCuZRi
zv$*tIc-xj}_4QBoD%h6Zl}=ttd%cdAdbeb<#vFY$y2M8h4}7M+wj22
zZ(G&6vayXLiW-9@@AsoVnn_4Yr>iq#lvDd^=R^EV5@!Fa_BFX0U=XsUH^E&AW>M<3
zE2705?rgC_CVVY*SN*|ynXX3FaN-7PS%QJuuy#qmxob$6U)?TCOR17*8@%0Uydk;vImWM+(pA1p|5%~DAagr&T5WFow
zJ8ZQ#zhT$u&^_A2ai^Jzq<(h0ab>#_tS{WLZQXJqIh7Z-_j{z#={3@VhGa^JZ6>30
zf3!(&$TQ5gb0fjM*qBd6G1@^fb-gj~{n^f?>}L2leL;k2C7^TXyt)#wrvK{4|!Ov(wLIPQMbXOxu<4b7zX(
zE)xPam#V7~tJ6x=4eh`hb9bejnaSwTTB=l(ZQxM>4o!)EFK_Gjf7Oy$@=IPyVP;1PcOzElvBB7zE)Ax|V^ci@^py~i{8|MBC$cHWF!W0>xjWuC!_H*lSxTQwp{{A%2m
z0HENw3KM}`t56s|4pFaoau*`Ak@Ser1be8y;LHtMC|WFwus~FqXCTa@`_#`I_eSg#
z5CheKz$XZb7`YxOhV1NzXvmlrF+ww=iF50xkYES8Gs$*hB2s;dh_
z>ND%_W+E?#on0?FJD7)&+rR*7n{|yAUoA%wOVaYu&qIY6B9oLHNS>4er4_&
zXuME+W6u6unR-WMR{Pa(QDD`@AQnVg(>jycHWJ=FR(t;KJR~%$@gBALQP!o=j^?jn
zt?SkUmp^NC7Y$r6h;GyjulqT0%Fgjw($40rvvB9e#u6!FYP+k&mQd8T(}tdtE>I@`A_z(
z_Pd(PP!Whs+!sEb7Oi$aPo4x)c_Wf#J9R
z8ayAAbrVr{IYTFbI!UlFMOTcFd0Xkw}Wh
zsX~-QHj^gtllez*I!$Sh{_qwYr^@p8E^B2sjJ|d>-%!mu_uXVe=)0){=ixH9P5uU4
z=MR_+!01$DaLDw&G1jdoEF1varvAX_{ZXu-!o7di;(1)pKMx?p%+vqO9&kJ60*yLfX?u$(57be9
z06J0B_4@W^FS%Ur{_eLqt~zp4+5K1F4+kI3*6|tWN?>n^tJr-{3q&WXF1a
zPzU~&XO84zRFu%iJo`uQL8jly<8q*1b|_GK>E_85*EuFEeqAL&%0?TuNps|FmZTie
zjZE_L%Qo^?QjX(?@BsZqQm#fWKST*$kPs87Di<4FVAPvYkq0ww;!-_B0|J!XL~R@0
zO`+mwl_2joi^{>{b`p>V(qEN$+gP=#1n>N+t)jJUb+L5klGsHN$Vi1LJCGr-s7^Nh
zuS@-yGz4J3ZD%yk?GJGjyF;|d)dXY%g-7iT1J2htocM=cALzx-RQ~KU9R{Ho?>n
zE>ZiS0t9fr;ny&d3Q*vkjCvXcZqPsL8J*(Wxd?unJj&0L>AOT@0bA+BB%u)qKyt8
zfXzquu^L6(`eOuN%pzZLrzz0fliaBk7Te^4F=!+5@Rc7k;CR@zS00Ok=`;`dy`Ti4
zb$ioS?gpJ?kYVUkMC3iZ6u;KXt5ZH<17uZnvB*Pw=R5ag^>?l+nnkq2%@Xfu$8QsU
z)q6A|lwRC1ZU8_O5QnEa
zuT#RJMR1Eidd&!kB25vVG<+fc)p(K7*0sghmIseE9c(9=#119dF6H1ar}E5u
zQY$1y{-j|dXrJ9296o+twN}PkloBz0MRD8{_N9i>=uk~Y{5U$5<*N`_k9B5Kr`xB}
zb(k>X3d!-w$hyLArat=cG}qy;e)h2!v*_Eu7q`_N@(N1G*#|K9(C2_|n7n?hrU-&7
zCmK-9@wRTlJ;sEp0G-Yxy+&|UAuVrEGnMTLglga2mZa?q2=FK7avpCQgXKH!Ob=dZ
z>P}X7ueEtEGf!b=2@qCz^((~AZ@Mn8gcv}7*(db)g@9QlSA))!!%%j4Ft+=AA^?;O
z+PRvgSn#k;T$NPf`^n}C4}g(!F_EoQ+G}04ENKwGfK;kvRsH>ihvx(Ta
zKEnxH8f*O1&8_^v|BVWO$*ht{dsX2tYG@>2iL19;NpMlCES)Aq_+~tL(0q2_T11Lr&I~
zu7u}36Cj|8jV__K!ItG;w_*?dm3^iAhHmJP65#(y*R88?JK)@)$m3`Q>4W5CUK!y6pI!LJ
zuJXyb3xy^tE-4wIe7V>OC5!>^c>njuvPPJwac3Qhg(OFkO{$f`wV=DxFV#13HHU_O
z%P*T4M#SK|*SI=%U7spK{xyeqWzd`zfMA9Tv4+6iET^>nY~yot8q~yPAnfdgyNWI>V;F
zh|Fkl)_BqWl@0D8=3N=Rbqk!GZh4y+wdVZ#mH-N;0D$pswD$Nk68jWAOL*+I7yi*-%X@
z>6SWw+;dLu_9tf*YI#7$H5LmVkax>_uA-#A-BO_*5Da`b~qX24#Z0&##a)_cPB8Cvrb3Dg`-utB%ty!4Utc^+Rw!a(1>Wd1P_y#vU#8U|AsV3R*cAcIHT
z^S4DKm}2uc&bc+Axo`$5(k4b>F)f}~5FeetDGli`4dqf;6(PAC3ObH%j=9Z3Kv4Sc
zYnUA_4@YMns+BA^3dqXgoRf>7WislKCnPU!kwc-$qVpss;b4+oL
zT_&4>+6Monct(d+p+o&aM3@kAM37&DW{DplXG1{#)e{Y<
z(!*U2ztm)rDuem80vU)Q_c&LE(Pc8qLIWIBYY+iK!-HTZS6VQ?gfweMb15iWL3pUR
z7+9Ceck&MF=d1b;dq<{5Y>^iJg$8y|5a}DiJwouAkOq%F;?%EV+6Qq;&8kEJY~pE4
z3=q)`wt|&M%8tdvdGmX%p)-5SF^ydesWYyy5zMoFYaPjg$?+OE-B?LE)
zovQR8M5m_jg#m@j;NX_>mYPC~5HxJ4CiX#XC+?_6+Nt7MMo$>Q(HLX^fG7<7-CK7m
zKzoBly`)_=gL4S~_0)ui`gTNp?vMJ181j@q)*FGv)8qoE+($JkZPwu8x-rh3Qhp9r
z@iGxl3d1fKgP${Tlj$`P)eTNG#2o}Mc^Fr*oauuEo{iV8W~%nvmTIAqW9ou!Lp$f%
z8)a2hw4X2oCOk3~hAzN=nzv1bX)Y`PexGLFbzIkG=4?qTaW
zovs6NS#m{SE0Tz4-g_p{@no!&bx|ifQJzP5{Iz?kxnEI~pks&>?tgD*W&OBz0%O
zL@h2xP!LZ+`jq-Y*{H(+pm^;R6oSbP2T#Zn`blYUcG02+E(QZIDVJlU-rhnVTgtu|
zB2pLzhL$!hS7J790z+5`=2(=p_KNpA!PHJ+4A8RMMpopVT<;FndUh#vHBE7M^&dq>
zQO?Q;+urF+u~=T&3$)k-UX_uI>zle2EiQ`Z5k|+n+Xq0gRBmk(ZigIDEI|0@Uqy5!
z{l0SswutfG+x{dB*XVC`x~b>aK;!8)g=#8R0?3P4IGL-sPry-&?tSTT5kAw-q+S7p
z`#!p3MJvSw*<7(0Zfg>%_q0ca2G6_;l9oHvqr*J*U6>SPYeCvWk10(O%V0D6;a{O7
zFEHm=Z`{SB6Ppwce#Bg$V&F7eN5M5Ei^hbfAzAN2s@i*cSt2Yh*C0fnY^=e7g>pl}a}K2Uw7fi5osEoIm)
z13-Lwszg&aSJ@)R&ASO>VUC@}ES|aX?508a8Th3qr%pV{`1~%!jfmXA
zvirI=de^{fEezv1r1LYTOMOT
zex2wGZMm>)V(y50t!HvD6}jmyd-fy8;!$s)7=9>q)W_fAP(Sw9xv1Cb!Y9A$Z-5Pl
z1j7nl$)~a1zV+$b#{0Il9mFLgdKTb5;O4K;?DafMjTBqP=okMy+wG3+r8Zr7E1w$z
zI{IJuu)Z&Y5UQBT1%<=lu
z2V*11chlH+uB4tpc!W3v2C<2=&|ifyUjvaOPCT@%_EGyC!2hZa1<9eJ5Y>C2IOOMU
zH0_h{>0rSWJhzH~jAor2d~6H-N;^_?SL6+7t^f#jRYNMKc12bgb9tL>ElR^7`YAjf
zgp*5YDu?85ZUu!KZ_h-Ga{3)+#!xIF23Hm9F^rUP$f>EYq0_zyF>ox03hSz_mcl)L
zn5-^~5(Vc!m&4&&SD}j)hlP7t0u;;tL2v44y+7)K91zvM38#X5a160ijPzco!XpHT
zjJM3kQ3~WdgAom9=j0#VjnBGgi3wJ_D5CO;tK+7}|{b@8D
z8odKI6YDKb+rR6&#%+hs&F6i8C)NNPDr-trHzK#}L%Xx!muw^8(Jh8gt}sCaLkK^t
zf#^SS^&Az~^L{M$&Cx{p(s+MF?=xWp3iZQ=qZKU(0gw;jHRdxZ*UeIgvvHfJv$_7L
zk4a;yGv@ftb3>nV4pGpt0+bI?u5kq`!-#M7gI?Dowh<66>-WH(>dvzRJ!m)7{=X9*
z`GBXz;KmB8tQBPGbyYW}QnI_}KjY_MO*d6>2Y^!9BaPt#tc+=x>wfG^A{u-ia>okJ
zD-^69zk1K9dwJizXkezAis4ewcX%&){S}}y>4k$mxZSwN&mPB8v3?U#kn#fBgi2B_AEcnOh0k=#N)KU<
z7FfHzc*+}Ve`=_P@@5%*hP{z5L)uQmca;X{tItrW>fII#CU2T-kLc{pzDk+l3Ld8#C
zf9VAJcAiJW`T;3s`uM?E@Bn7pE2C(mn`u$i`;Lh+k%`Q&nXe$nRtov0?^;2JN6~^m
z4i8VBKn}ZMF0s(J<$+x+%*P+nKN_z$tw*E4moEbZ$SPjJQ!KDwfQ(6n$fVska%MWS
zw(s(d&pFY8X}M!m6r7G4`~|oPkS9x&Yi}SvWDop(@1RbH(JyRv73;5K0`&QB7$4v@
z7=16ERdM(@39eM6^HDmz87LkE)^~v&G1j$Dj8!
z7~$nkb5k*wQ?cDdRPxIEYXeGK?}6+}_V$mTwQ3P*(=Zip&1r+)4`
zfN2*wI#yCu~DuVu)k(+RkG;2U=f
zS&q~nMpSkV@7^#BVd?K7aDa#DU9hEDBc^yE)E+j*yjO<4mA(AHRdykPo1jZ+uA5k!
zT`%n(tquAZd|9rA*gv$VVsjMG3=y7NMgh%OL@oq$GcWhapie;KOiBn%Ou><%EUV=j
za_(+Vww`}+txZ6C@Mn#%Z?ShO&A!Qa^((nF+n3i
z-X#Qf^7`o{rz|AJnH`-iFz`!AoEOOI}D8O1vn)IOukA-<*k_wTvU;!A-43
z^jksgLrq3;(*PfOnNtuwrW&u&jJaQW5o6XPm6x})E<=){8jMXW$u?!K3Y*T$PD()9S2*woIOgf)qWIZwUDjFH
zgt*)bZfYephgV<8H#DtB5`cP$!1vB&J5Gs_3%pE8`}8J!Kv2k8?=fC0ANCMEzd&j7
zdy}w7fmbiv(%Fqm!?5DHK3wDCqy@7UyAQJYAWw!tWvTrbdQbi;SQxV@xbJOn>z0QE
z80dFoCV_)mVU%j8vh9wY!_Yatlu#*}AbXHyPvR5A?2`-s$&D)RebHLRDcI
z2<*m1DZ06YjkRy8UkhjexKaL=juS&c-=^pxA-G4znLDU%DkKo@eNG_r=0?8ca+bgu
zKTq=)OqdG5e0|=$yVQA8^+vHbN4NC%qP^ZCIcp^@i6L`6kU80|~dn-ufzN6YQicD7{o&
zaoelXi953!hGq2{;nT0n9l>ElwPTU`x0k|&jBs<;bx%e*rTo>Gw#|Q(;6R)ZNj=4_
zUd*L)-+hTLG_wp_M%A`bzaCiZb8^8bYRw5)P*t)^TyXe$@a-)<0PB}<6&*ViU_Jz!
z^NU%W&UZ{xW#?509CS$*p3XnyjT1iP3{rYrmQ+KmAlpek0Qi=uH<>VGmK1Qyf=E*s
z(i~aAw{_egK=wpa1R22e=8{A3P%Cq&ki^OcJs8=(mZE=%*kG{#s#DuHGC!73?PmS)-szB
z!Cl)6yYiQYOUn<`j2%BXUZ%SsbhXJglHVKQJqrfr*?szp_{a_|7tl5geMT+DK%N_*
zyHM20XoYyz@QXDjHjaoPU0B-rZ!OaWATKLdi+LB40?rufzmebB6JvP#>cAltu9>s_
z+^+@M`Hhv{27-r_c7B>;F$reZZmJR35V@jII*z{rCqbL?5=S9mLjDdN^RLzbv0HVJ
zFsi@l2%fbZ{RL?Hc-0w!lZzd^zXXFce68<}9b)eYqG|y<7kw
z^eBsPN9iImi!f?lZCAj6=O~iLbLImt41`&GJE<2Wr}dX3-`PCrpA149j;(Q&-b}_;
z160MVmCHxp${Sk#i>5|C-62bNs@4!j2x}Ci6PK#^y``MGI&1s(v6?-tU4ihp=lqTj
z=u6#q=N0OuNa#hS^P5%y+zUL;#&Jon%Q}eqckPq#of&F1QV!ms070G%+0K~pQ!RQO
z@cT@LCAbszFTR_vJP%RMqLQ@7sVI%x3I)&qW+~h{hAUaVcEQP2LURmQlsgt9@0h?j
zHMP#H#a;B35N!@t7`s#?WO$NTMEc_;3ZDkY0VyjgxI5LzuObWIGwCEFyZ5MFpGc&P
z;^(Svv{=`rXxOpWz6W*p*eH3;-*;{D7=t@|#%RTsV@M%YD#tAxL`^fkbHn%~9=M{X
zFV~vxLHa|58%Q<)4dRcg5&;iBOHvlLxe{%dh;#n>@@+0(8u#v3=_kJ_QR|047S&(l
zNE9$Cq;tBjRtl@iz9~0TxVi((ku9y!3Nh6q6R}p{rZzFmj5wmeXX=TU?2R|n9TshW
z)sjSNt&`s|u8%_7I5BhXQcZ=M_6BN3TC{ote8dsRP~K=5343g#w??yn-TFU{w(&p$E^(t31`|S|Vy0xi%{SMAsJZ_kaE
z9$3~7y!rNO3!R(=h1lNKyZN146oc;}KDh-@`5aOIj`%SC;4(FxV*87DD50qYLj8pK
zuleK&a9m68V8ZmLSE^alBbu$HyzEB{#N#wZAQeH__Wjvs^{@#%axvG5RYPK&!T`?_
zUY~!B0}=u8Q4Xm%1`vR{SQn3BfbadO`OeL@6&gPpLrsYOTxC`88aUl(zVzqwfhU!+
zjY8Hy)r&8xWgNripKm$!FASN?lnDs2c*hCXiukr+-b%ImXp>xv4qEZJG;&f<8fh0JNMq
zWJ)Cy_Z%eggxtt1jxKYn_A}b{!F-swcil|Lv0qbK@aLp-=S%GP-UO~Aao}qL>uaLeCR~vg{2>(GadFFpYjc}IZz$A018xDh
zY-!Wi(-cqzIp*W-xm(?oKbDF~?C<+j$3li*mPQ4!(U&ZagDLAw70|IxQn
zceP-ga6O7-!l-n#{t!I=Cgx$9BH-eHdHp124m-S5;v
z@9$G9TDm^8#
zy;~*P^Evu^`2RVe?TKDqN>uw5IzS%1LPxuzE0R7bd+p*FltRq})rnt$byBD$>h3g=
zXIhyA)3IZ{nFpYvSp^Z>iVD>M;2JHQcNHxgzWH()GoR(JYdUOgAw#wO*_jW>E_c!4
zc8LGHVNo%gy=V}8hGH9c_8)J|VST6}F(}ZLuS33QJPmWGhT`ws|Id8uUpJr#|plW?CG!b}r5?Z0-0?ULs(p=JqCQ$9>bWaCNV
zfcx1G7jphQbNjM|4+QbIyq@fxhO&3^vmMYed-*B)h_La-s5ve!>v5{)#t#-}?B>Xi
zYPWeV6SpNozcLXr%Xm{H9~OkJC5-bv7&{ZXW0Yojsl4?ouZesL4EzP(PKNLHba(T6K_cA2X{v1Qb9MD2}35CTIITmR6T$h{Q!H_~K`?{v}j~J-k
zbPim8K6NWc#^zN7&Ht3DI8_@3=FqvRE%QbGvTLyt=w0c7Gev~Zr7&J-z5*L6^5+ZAn2%^hHfH?xNiLG=!M^m{-q6@=GbQ)V0vOp*&t(>`0{lq?-6zvJ-haw
z5X*CfMuIiA>ncd
z({9c+eDW=NDls=q#?=_-Cdc&w
zsjJ2Sd>6Ac5W>5jR&^Ki^lyZeBN!OXk4ox9gtB;zBZyrD!~f2~Lj^p{K6Z4b`Y$r%hx&*Ny;;5Obzk?ahJ
z>mcOplKOqKcKlR|*|%u)=G%5`$>O?r_$K+X$_=IMe8k6duz2C($7#IRGz=SFw=GlE
z&khkaH)26i9bO6Wrpw_jZdy;yoYnvDl;iK5@1=!*x1Vd@TXyVYm6t%-Z%HGrlxHu3
zpqK!h$WmQ_@4(=lG9cbdIuQh}8b2rQkMP1z=z9%2YZkP0@9Y2k@5}f>!ml%Nbv-YF
zaAX}NCm?sS1{qxa2uFq}t^n#8fb)Nzw$vP5@RTufkI1pn??1K;F!(9c!i);&joEA?goa6^i(>8puDnf0CIer7_h*8KB;2$+2-r#6)H?b9{4VUDv1{@j6g
z=X=@IX{f$fr%|rkiO5y6W2sxd!_!XN_y_&?M*I)YwWnU>F=k$aHr$nM+uC67plAD-
z9P8h=$Xp_nf{3*#HlY1(z(drdA)SZ;b^LWZnvXFafDcsM3;bcviR%ZOxpVz>bDA0D
z%SJsXx`3lV%pqG(wQVb5eW|eDiVn>=yF1vp5@6v-4qFpAUjM$i1S(?w_$K+nd~c5J
z01(Y?Xf$#caxZk-+FfE{e8~|QT-f4qQLzQ~>9+$cup3^YueQ>Ua0xG}NJYTEAVS65
zbwfM4L-ts6DQ4?7vk~x&%}CoPQ!K|y81v1?p+PllX6&(VRrjI
zzd>tlQ>nW0Q{&1-L;Vhds6OTW7v65c%*D!N_79wS(sEG;LPOgUT{6+4_wv?tE_1PQ
zgMIJUHH5w=dhYj^38LKGR#^R8pKs@20ir(pHrS7tzyA60g{_0Bp~wT|Qzae~<0TUB
z1YX3(^9AQ0LZC6+r3Ma}!x^7rlsTc=o8TcUeZZi+GoRhcQLE0eoMSoj5n73TKip(T
zjr%(pV?45QkMo6+_F}K`n^)R-Egeh$+=K^Af7@NwwWGt%f;}c1_QkT{ByY}o=+%P<
z=5bB_oawO(N&T0Rwu$={)x{kb2xYb%baP=`5=
z+fh!i#(cPv*;fNo`-Jy*d=DL%`M_D^yw2xLDP6jGoFijq!_c{2BHr#)caqq3%w(%zqwv32=L62
z2?`NdO8sj@Hh#zV7Vy}yuC5}uUk1{DiFYzOeZXXZCSoU!ps!FIG@Zuo(8x(LBpe!lMOR^zY;5q~edb>b+`
z-w2a<$gu5sF6-{a#a!wNpq9!ezcCgpa0a)*hWr{l)uGwe+x&om{jbMX5B29~I-}DPp@$tf
z1z4CK06?NX59+w~D1FSW4lB0PwIG~}i*5gyz)_;qgx^o?foe;8&li#k)td6Ze{CD<
z`?@;u`*!9ySH^9p=U>T$bVSLwyUuxqWM-b0*Fec`P@%t4|!{d{X~b+kfmHk-)Xw3vD$!KZO$p3>};$Ca!
zJtCBpw;1?n0!cP0(QR=C5z{7f+ve7&Db?3Bq%(Tk<(sLGvO2=_qE<_XbYest1|Gc{wYZ3DTFJJ%Qow_6`
zx+2gIz4Udzl*zo3#LA7t78)<0PYN6=cMNEofzu
z^P``s-Fpk~U$C!}Y=!T6YX|7Zzi}JtJgisEyCOp_4{U#x3=9HAvaKSauKe)_pt+1I
zkhpk<8oFsFf=H@%msO94PyE^DaUy5hg0GoUN^_?m3!s3`MhA(fOV&dgTsg8Hhlq+#
z4GKv5XFg+NiS}D(oD$m}uMlSrS#k4>8SiSM4>3mk^-_~5Je{oirb<#RKqLV(O^5=$
zW9f5E%Ihi9WqHXxvPED;z%QJ@a1@|65qGKc=G4DA$r@d(--(PGvp`i>p`{{Q0+UtC-t1;Yw@dn^D?_RseT;
zcPK_o*po2C#mjQSIx$hl9~lXU9v^ivly~KnY^K^okDfe8ELbA2W8Gz?RM!E(Y-Y{!
z4q1P<9@a%nk)T}eN4KlC>ki=F=@j_y^s*XUvOu^nK#g4WRQxb#G?P`1F-$MAaAhdk
zRE(+tlVsBog_9CBVB8JXI;=J{I;|c)X@LebVm^AAU0buXoVW={v1aL3vGN7$fKX4a
z?c(PqOCU2lAMJ8MASc#!1gKYB+DQj_S+*HcxOU6KSNTSVir8>M)bTRmNYJi-XUr7r
zukO=KqiUsl?&l6I?E$Q2MpOrjI?X1M-FMu@ZDZ_n_U|`bf`}!D!?bLg!vV{G6nw0jZl5qP
z+GSY^W=uoxY5j%O9#eR}lIeQZSKs{FhJzjf8c}9&D*)@kZYbK(-y_J7ytCO8`;(I=UR&~0hE(fd(9zI*7hrflYwwCOvJIk~P78IVwH7qEKN
zB?rYCvi4LQ7`k^%RgGtrfRMKwt}dJ^&9#bP`!5VKf20h{mPq^cvOFGY8j{t^uH8R;
zjRh#ytMQZoG3Lk&{e`||o}qxQR|iUrShW1$^jHOk6sFWFE~VIkdL7Z6;kZ~M0L01f
z7*R&H5JqpcA@zaj9F*f%hq>ZpJU9o)>2%*}+|S;y`YmdDO27{Xq{y_kR|jIh=KEzd
zt3Z<(hH|!LKXx*l+AU&u$w98hO5LS4Gw5iB5f68rDW8RgkdELiQ)Erq3__sVd1n65
z*%)~s^t4NnMccnlE_&U-69cQ(JTsAhghHZ6k5)5c{nIrb$xAf+aEfw<%%^ShveKt;
z+Ho`2qZI$4x9&|6(su
ziS6d)O6+;ototM(6HTfZkMOVK54^b>6E>MJF8vCn@tP;9su
zs(PQ*xFsD4I7Q?}+vF#vJm-EZ}mDa~g|UN{AOV2_E5RlUy>E
zN*O6udV69SD>;F;`YdhQWrZCP<;u7r2Z_Bx;#e3n0DG_7;tIZrtC#Z%<4liDEq2;Z
zQqU;7^~XvW&vP-2DSK2bdO%7}-tXeD6*r?a9BCEqfeJ8*i0=Pbl0&!)7+JQAG>od%
zK0>EJ1pI*5JP=48C)QIDSWg;%k|lRx}Gz_EK+~N`*0=4royMg
zmfWM=5UQQqkd5O}L!mdnyE|Nb%YTN$?-^q#PCY7vK%`1l1e5yB7Psva
zpuvZ6A&&w7psg#iwo(=hmvURqQD~s&P9-;V6O$ZIYiu;!gLc?phVvv2-_m@eWvk2>67K#KCR+U
zZgQ4o)RtFj`+C>MZQ4IzAa@rPrds)-gLg_@!J#|10yoenWi6R}AGed)r452h2Mi_e
z9?r&XG){VFn9pjS-C#eZ>8paH?V!tTNJpzmK!kq?H~hldvRSRzy+Fj5lb@k$|Hwp;
zpIJT}f7Ex=jNMUsc31^>4<<_cbooVad55Xnsl)cFCU&dUdheQ`N>}}*vLvhW1p&fL
zHpN`&2bcTY1p%y@P+RSM6aop>cfLk2bJ24z<<-^AN>0f60pdz=>Zocsg&z>njDR9t
zTb;aL3@$=;KH#fo|5QfWWDhwi%+w5T`35sKg#bTgHGt;7cm}LmZ>Q2p!hk<-B82qO
z;zgFrdN@j-*!2hBaDe~(OK?JnxLL*f`!kIgk233{Zj8m>8uRaWy`m*!SUr8yi`*hTAqZc#pkHp}8=K$z5t-HR6^{kj&
zOm|`3HF7NISiZNJ!7&wkW@o^4*W}%#XU4SW3VpaoBiTFjCmHu%CjJBgv?u+OGx6c@
zcPCx->tbXPtxx~%JKkLbd=6PspYN{~>!d(0#+`Vh)JqvOFP8wK9a6}r~VV(Xq
zx&qzsnD7X#+g6(rUC93oC3z1KGQWq)deDS|}Ss{iU{
zpFgB10F)g8s21z59Sww;|QvY%zJ~!C3|pCfJBs)oY;BsV(Bj_E=_M0
z45d&*DO*)Kq#}%VVJVqN>aEIm4pR!JNRKb}?{rCZ)_%y2dI&M<)YePKxU8@Yizn4C
z?;$kETNF(?c9$8I4jDMYs(9XaxB-7(f9j?W1!SVrBHN+}Z6+J$E`pkUa@Jo3lqX)Q
zcM|C4ZyagzC9ZHo$zyuw{9)X1a{a7a;3Ks@oG1&pddBd}R{d7*r<+*5
zR;92#ubOXl&8Yt2)s#6$xkjpMu_bRMh8e^5kJt50nZv3Au`DSogUUR<+&1q#Z?GbM
zRIH(S6EKAPMFtKVuMUqsfBQ~?3eiW9s4qcFt_{n}zET;W2Q}rZB_3Y{Uc^XPO;0Q&
zEo(SnWp5if&rR@_UNn!#`{C*A4Km7lg_==fR9KB7T#p;IgX;-3uEA?kEGOYd*ePJ-
z#Q?g6JfpQ(1(=h%%1ig`-n%C!THl7=*LEBEPSW|O#ziK-!P)pwh%$et8vc!X1e-Cz
zZzIV+VkAgCLbBuhhU(c{)Qw#JD3BtcTPX8p72aLkG8K?bP98RxhLZU~Y~Lc5^LhD9
z>Q})idK!B%2tH*+Q)y*$HP+cU23v_mQw@cvdcSC^F*sxm*Xx0r0>OM_;f^+XQqRyo
zl>hl`$_(;G8IK@imR;q-?BUv}Bm0{?3C*xm4shMo+gXxQcOd71{(0BwNu!7C6pBQJ
zO#3U0t-|8by>$RGjlNV(OIbd?Q_-bO40>w;5ksC_?u|=Pdp8g|>M!s7IJM!j
zE8KAyOQ?mV=fqxlD=(|{`M#FdcaY9pS#*O>ru`@1^)`}TG}O^H>EfAG5>WxF(=d23
zQj2;u1;Bu8jcix^Dq;I8=kI3s)=6T8hj;M89rR4E*29nYKiBK*4#53ap)8b;?6GxySo}qrgJ9RhIjZ629TX6>tzd=7gN)qSXMm#A{4$t=XVVx4%3^g7$UYeUoZus=Wzy*y{p%1CFMf1L0Cgq0@>lZ2WTvhtVUl`nndrDMR
z#V68KLh_4T$A>q|pgsU*T!kaZ3Yos;*lmMo(?r_2Qx9G7l=&
z%3is2xbB^=Xn_uI+!S$TY5sU>I3k=#f?M9cbe!!-V
zs-OepZ+NRQX?>S*j=cs>mJ<9ba83@VGu*ZHbr|;bZZ+YM#3>(@3?PX+wZH(k?650_
ziU9H9X9~BDI;1xF0h`P&e*W0;3lZp?BSf-w04R>0uH!6$Wl-_;G{&D%6|KweA(EG5
z|7}~~1v}HTI?{=6&aW_x)ZrD`5?$Z-(SAp1jO(GcQFL&%$3>jF1mu(
zGx7ar4%k;6?XNm%U!B)qeagP3s=ubuzV>+jp2ebRsSrG3Nu
z{)WHo8~^EVT(=jX1_X)@O=<&8x(>}o1I?QqT5JbewmY=C548F@oC_H^7v*q1UY0|4
zxNvmf!byj=yn(h;4((L~?Z1C+XdP(y&L#>6F7`Qe-Wuq{LVfb>H9qzeO><z}mCWPec#v^I>+=v1d0!^;sOJWKPd)zqysO=H&2J@0`oC
znR+aa{q+$W3FfTrG4lVR>aN3@eB*zCKT9@7JoHFMk92ehxRIkf1*J<+5L8su6|fOX
zDj?`cX-A4EI#NKS6;xDEFu*`XznGkz-}&R5b6xv?ac%dW=e|Gh*L%%cBmaSN?e1?S
z_8BGccg4MZfD2T`h1P#`xb-|k@Xu|*hCUmje8n}2%_LWV7u3|Y7^3@Jai$;u3d+{P
z#^VkmIGuMU3@^R~#RC8@V8=*@_`o5>77)gtvb_MH&4u6rBo~;hfndfg1ONatY{C1Z
zn&|ukG2|*54$A`+WmBk)K)*7K!9v*3qQLDAnsWnkPo)x#{p#~
ze|b*5_P;)30T6(XCvQFT=e><{dk9cvfM^Cl}&DjdpVzDkugptqAz__3N&(1_x&P8zN&Zn2U
z-<{tJKy4wI?E%GY2xb{FcXRi}5D~U~ZZYf6V)MPZ6iZ@@=>i*o0!RrUfCCV1vV;}w
zi%ko{?Q*2_q8EA#A{;L6A!Uk7&ypOAgj8&KQ$_<&1agLh>!pz3NUNHkmn%L9_L~w=e1VN=cYb#;$Zh
zd?aF?y?J!|^3j75Ks2|KO4VJE4*spiLoW5)r9xwvi5}MWYonL-Vjfq#V&tGykn?p3
zfhlqG*B9%P6se5tTkcvlmn^URc>JhU_1VaQD<_Y>6zf0HFMoO^c36|V>v#80*W$ga
zc4Io)uXR&47d>U8bm&Q6CYbG6Qa4Jq4!`FVUG%?qFfry^p~L6s{nxB!#WYnYIICM7
ze}3&k;N!P4RhXZ;`+i|O1`uX4TUuas^(F((D+eFI=xJwbNqKRIaEZRdq1M1u2VqD|
zFEtD)OcK{I77w$~%iy;XnC-kxYEIz`WrNrPrc&8=PF+CyiuNK5@`QqG-S2lNRsJDJABo
ziM<~`q;yKFF+aH&{nhrlvEqX%W?Bj+7VqVQl@#q4rK&8Pu;~&Ukr;J=d7^4BIq(eBkU;&qttOjo9KLhYbNYM~zO2r3gz}m&4~E
zLD45M22Edw3=U*Gewr7YG-nraXErhx4bfjPBKgF=i>lcGl9{N6{nN9~^4mte%
z10iIh{Os`;5p}AU2G72Ic;acI@Fkeo${{`rQgELkQ`1!9pLy>ydEBx)!l1MxjE~hX
zQLAWWad1t`mk)=T7iR1V66z*?ZVFjyKrQ$NLFmysTakNfWVlP*8#7Ygr~&8
zM*LIe>$gW7LfJG)^|%#UoO{489`<2Msp2CLaEi^>i~s;8l+-|hj@rv6gi1px5GM9m
zTw-Kg`R!oDM9=M6%Kt-E@DiPXKlCURK#p&xl*PA??O&XTUWopiSj1}8B
z2%JquDro-*U+rUxX&p=`Y;|cuhV+g(Cp9^wFRl?3Zu_c4j>&a)z_oYYPF~3}`}cgZ
zuX}S5`lRi`^7b}YTKCQAH5e~o@ukQHD-3bJ*qKw3FVspX(kI@nX5rMjhtBe5vW8e{g+9DlOrhQ(
zrp_q-b)c4-qKAm1cyc%k(LVO-0-<&6)nVhQG%(*@t#Qr6RESlRhnFlKF826ZT3d2l
zFix`2`2;JV_(f~1QmMv;an(z~6Zo~lxYO_JgCdVGqP$GYrPnW{{UStOP0YmCUh<#%
z`Gy@eA{|nhCN!*Gnxm`nrjQ6~YDDZKWUOAMLATUPt=iDBIc8QGGsQ)h;x{~vy9&t4
zs)cn~63m0L5Koaf$xqMs`(N>rMQ>pYOZi(!W36;iyJTtElb}t&NB0
zHuqMv|I^}-inbJ8G(L`bHxkRLyFYQW`}Y+J!Jb1rxuCGXlu>#@#6`18fO2G1#UE}9
zioeazwz2v!lQe!Ld^sP}I7Os&*`cL1Cl&3RY`i7s2_VLz^LK|0#yPm;w%r+2bZwU5
z^Tb+sVA=cGQ3coHyfG{7?hNu;=$FOrUtpsMnAdQfeYo&r4@ngX0YHOLiVexO_fOAd
zb6~d$_B6@HuTfB$X20`-iBb8FMcQFQF%c$=lvf6y^5J`EV+D+(#lpR>v(KuH)*OKj
zU}N4@N|D>G6Gc=U)OYSEPYwM5aPDJ`H*YpPjvKf1*aJ;&2RCj#z>jJFl^fzije*0$
zh9iqN_oe2pP-xTpTG|>WXJfFsz%LXOZMD-2Bg(?4^JhPuWkUdw;MnQqU-nJAc^DOy
zL3gEt^B2>;3x-<%`SYLJu@)Gx1`zQK2*pptWB=a+lfh53pq-u{sm@S{d#Yl7RJt&o
z={&Z?1O|1{N(h(+Ny^^O`oE-$M$!3)FcF5;VSz_78-EK6=?veNFVq2fnv=wCI$l}4
zJ)ar*ErS%zHdJwY$8=*ztNmDE#QtBg`a5EjT^2&sR)#Oj)?+K}^^fP=blxaHaIX92j-cYl-YCA{8VoK&}MTzb-vTX7y+QO)5
zxR`gLMuY&CN!FOIr*v7IQMi4awOBnDCOh`ge~UMbc_yeS`|cah-~&x$oelau5eNp~
zt=1904ezpq@SA{4G2|v3Sf=oiLRG9;bB*c$7F6w48b7Zg84PYgYt8UFc8^kRY+-z(
zB!Vaz&4%ibSNX~+-WZDfY^YZ{#(&_E<`9FZ`Ed8bm-d{$V=O4^iFfx$&9T0QZgQV{
z*5r4*A8+5k7(;0e7p+y+nGUhHwhwA}UJhAv*asovYu30KD*r!_GkJWr7#gg4zVE
zz=0m_YYi9DJqI$>w_h?eDz9`HH%?)VJlJ!j^@o*rHB>TpA8^xlna_Y7Oai0q
z#k-sK{~qOBn2f&ATh<1a}gW~*x}qO66W8GNFz@5nItodam1NeKw8;ZwL4)wg%H
zhIuog26JLRy~C%@#Q*i7^4rb~O4f(+(OiD=@jHI^M~gOz-M&7i7}nkF8vfxT_o-^g
zv+47Vpf8YSjnktH5&wV!GyxKN{?75%!@oZ0YMglj{hiRs8(dX*SB1OGBuOJX;(#4$
zfr%eYD00l{og^70`hDyOgb1Ym-W+$8WP)S3d~c6xTrjAho(lnVxvP9myw+k1fJxN8
z$zSv7<~{U62PGwP1-ZNH-}ucS-v38QQ!AT6&>&%~{DQA(oE^e3Nx3d?2*08~xv}W5
z;=~4k%)*sBdR+Z_O2TM=sSh--^&_h^=8Gf)ZzI5~Ob-;WJ+hzx(@S5?xw^T6dJ#D`
zui?W`R)MF*Qb^0n5CCiV{QUiqY2gcCh9IDnQ=DXq*Qc_u!)y?t*Db>2q^P!83-1T|
zsxC&o7O*q5bG%qi{BRHka6(_66z=!LSD>jVF@RAD+wYuSh?gdy1mhe$
zR`eW@Fv17?GXXP0k+>``?ET}xC*c&ykPsy}JPfG?Qhev*5j#|&sziSRs2l($;k@7o
zz6vfs03san&)Rz_5%rZmMSuz@nrSa+dlDRDkn8L{pzY}6IFoa9=s3nC?Or
zW!i=STW-f{!u_k2_wiah@FME@8H!bjqil3c1l*@VC4Dd>dQ8NDazc=b2uOk-8$w_4
zK=~l(F%8;s9$B!e#8fh<%y(9Tne`G1r7Vezn7}uUnFo($G07qaZ^9jR*~yY#M{-PA
za@2?)^>7EyF){sw;w6?#2J4uZz|%}tMh`3E6{}%K^jMAR$!_wk7~J0C>>gU|1M9G0
zAj{V%E6NY2rk*pQ!qV42K9zN1Y4O+@<{sIMgu4NnRUJYgf1s-hL|@}nWSvIVZsRn%VliAo2GjO>nJ=hHyhB!G_#_aN^*
z{i^W0CtPa8AO8e2uD-bW!^JUBq)G)$;uHz!<$dc31!jt5iGYPiyqsh4xUFhtZT_KK
zA||I|NaJACdl4@VrIP?AP!OeKptm20IROBKqX-VfWD9O9l`dYF7y4eIxmy?VqZmw%
zT97yr(|E~Nkw?s+pzXo?I23RdazH9TfeTN-o-Ou|a6u~_F)H=wInfJuHHs6>MwiDm
zN?yT%$BD@N;zO9(Odu3_q8k2*^js#=!%(%3^O_+*6%f`%~7bJKtzs^z{i(
z|4T*jW#x(@zNZQN-NZ9DlVF}e{I3OC@PBTxyEox!^@RYNh5zn(7@eqrj2kGd`2NLn
zFotyRIrH*Ww?!y7h&eJ$}`13uaD$
zTM-fSzP@{x$}!0Z8$)F95A+n_Og#ZX%17R#)IcHiLaQYq@wL^~l`47{owN6}`ADoc
z`gru7kO+g1IKaaR$P@yS2N8Tg0OVals(@aqdlJH!1JMZ$;WGy<*ol&1RmuVB$8XWM
z$wl5yB5CE;z!NIA@@@jsw
z<%ClSUt&t+MW1~Rs%JFS`CS!*L|>jpBx-;;O)w8)NO?RChg9uB4Oa2I_uq}=G
zfuxz1`%f=2ix2x4c3;wP<@LWUMRsejnl6`g(>uBcj*CjaFX15#WH#UTM>kzO5}!pO
z0=aM%@c_$Ez7wGsizI|+Xp2P5O+k@V69Qj05nakndaF^LhYtJ-?KKl~BggmF54P$g
zM>*jTWDsEy+7JOENREho4W-(1;j*0I&kM&bPV?@`>P=)t*qh0lAdv*`29PBK<(cG)Y-$TYxU;~J=hY?;YraVw228S35>^!yw56nl(eQ6cXL<`?{
zj3eG^IB~;YvDeI|V|CwcdtZr(@=GW9#bi%Kg?NBzEA=Qea9bAXl@#TZkBGtmg&N=$
zHU2Ap
zqaxgK2&sxR+mnbG9_O=_1ofo(B}B~|H8lnu2nsF;UcN8nIHUj>z35oGxNt3g^*DFe
zk0#cRei{nK{)eV`be`X-G~onOANQ?mX{*MIXtJ7cVHu~tUOjjRtRGG=Nf1~6buE5i
zY~UM0B1{0akq(0-2ztgRqWPZRyj>n}V*okf*j}hUt6S+(&iy08XqjjZWH_{s!@i)e
z5aHs{@jeNl5e7&PMTTjC=T`Wx;W9iq^zwJ-do@xYO=3SbDits0)Vb&nnSn#&@b5i*
z&}7(W7m;}YNa4bQ2>fkZXlNK_P&t>6)DB&JaIgKku4hvwW~}=wV*ES8^bHag#SNh@*)GC8?hpUs2fxzO6&(s+;Dt&Hy`jKM
zb!t!nVq;04Z-5|hg!42WJc~Lujewv5uHa3|l3Ct-&5XTg(%p*Zt#;+Lo)cANm3!oT
zCntiz8{gjE^CuTVq9u1Ix67HOY*gvD$<$-zh
zc5ub?$Z`E^qlqtkQ`C=Hj&&|P+2M^-bCI^3P@S2@mfy?gEA3PBU!wIzdS_rfU*rO|
zhT4tkqEvdBwfibAfTU}m@P|dLmUF8YaGuWTOD{fpA}$@~t?jl+?Bo^3+
zinoOP5fn*WV+K;l!^CD{Fv^88`d(*ENhWWf?&>pdqlshp%>&ky(|luaUZSGn+*mXaNp3=8rVFA@QHU-NP?FF_D
zsVAchKy5Mm))Zu(qt|i#%kHW9)%XPva6cKF+B2PEK<-=q5bBj_&-sMe!3msgt
zVhHC;ANLfw^;Q@_Tv)R7@bK}8R!=edwg_bQeN-H
zO)F8_pHlwHE@rTJ@e9!%!NN1d>1+;PsxDYYK=@LODMYx;x%<y-Do;XK#
zzrk}*`SX+MvUgs`zB&zVw+U@(-vdKJZ^iTOC-c9JT|jN;qIf(RwFI5I1s6*P=W+Zn
z&-IIf!EW~w+~0lX|FZcY9uczz*CFyT+22m@=gCrhSM$@uW=4Tf^j!XroyO+Gqbj(3
z0O=Q+FH8IYa6WBLeG*(1K#*p{zU;6LDdz0$*epW)es~!?`fbeW!|>Ig
zf&&QqJ-@~~P&J=lyUrtgJ$fuwAQ=*0U{!o>=RRC>20OKXtJZwH+0g@?MHI|I^;-we
z5Rjc3pi~I>6vrRsfr{Ey)7(A!r)zURDjeYgz_GWT6&z97D{K6-6vBQy?DJm(!&HCv
zy;2vxYujKQv5WIuRY{PyV@g~h@+3%w|3g&>%3Cq81!0%8{aS3zY7jyccUOG~ZkUsQ
zO;yzOs%=?eSfRSR&s~PJ_ZydTqr?}(W%FUqm6kCFZxz-}2&+Lq26)+$J*^XA7k3!u
zgmIrM-q%!E|3g)T^qEPY7fB$7{
z%(0g=4_*^*JDl8BMRi0dc!uXouax>XdRa9{eT$x|w7im_5fByf`oHe~X{3{pp40evw=#ATTgKB3powu(OFy`Pk@0GDJ
zu7;&Yt~hp^@{?i=S|BicLrf$dO>i{2LW05cgs>aY8
zZA-eHvloo&LiaW?nrWJ!qr<^^aes?h#XU$G=%9KzQvZ(fyKE<)IEb~d4y#c6KIW%VfqX^Lv=4%HU*m@n4LY-1(ocR72T#;S9)YkRBlZ>?pWy;zS8C91{!E4v>3
zmK)I+un4il3uocK7AuW>5S!ICy#Wt>Bp#>wW3RTiYj;4#s0%80UA!+67k~_h^=tjA
zCG+d`k=<|KrZF51ZQW)30#p7%{T1z|OYk20Kck#|
zq!Xj#WmDvea^3*#QO$}^GO#VF2&J}H6*I$oJ@kx>KewLR2WMZ3Lszf&I#)nK^DiKv
zPyu&{DV0{WW?b?{4X6lrd-*8}(BBwMi&2>Xw~)x>br?q@j{mw}{9}IK
z@!v;&8}$VqK7H1)7o<1Gr#(D8Bz8#VM%|?l)G7#AI)Sg*y43;U7oBdd$WhcdD=MY0
zqmNzL7Os(f_~~ueMV9ZQdy8@V>vn~jyU^ph?{c54%9HW>>#o5;K$q1EnRP
z?=JXI2LcGgkMXt+ti|Ov9(Q`^n^z3yshZ1(z+J;-d2=miR)#|9+s7INMxA#Pj-Fcl
z{q(+ut6(k0mBVOxDJ>Fz$PP~&&zpE5FR^`wJsOpn{L)+QM8TEVuxstA?b0nxIZF@D5X3~4P1
zMbJX4bg?t=I0)*Q#-mehX@!en8FpXF0!U3TK+;SkJ1gPopn$~fqHX@Y!4*sooU~C@
zmn*~PTc{L{b@y^56&;SHOHT4K)j$nc5g1YcHcaAVO;W%SMSsQ8{T_!F54Iy8O6kD3V7{u>P0-Zko%U2m(1nH
zI%O2|V*{Yzjd8a|Y@~TP+>5m__n-i!G#&cbJO6xbLF%BYR%CqgMKyGUHNT1KcAieT
zY{WI23IuZh@l}CCfDLvKmzf9PBoX3FnIAEjP6#pYWHS>ooE-niH!)k`>?G?nXr
z=dKQHzeess>~nZ;pw#c>NEFeZiJ{F}gh#B{)F$!r8Kkq`zpb%TT%!oMvSJ%EpL`Te
z;n%mV+bZDK6V&et3mLtfnf~5+{qb}$YP9}l;hM_BEWJwFBo6+)k%TE6$<%i6_WNxu
zImKZp*A^0NUw7_`yBxYK3E*mV~N{p6gws^UW|L?
zh1=`joTvRY1xSiiQBO74YsFMoa^a%`9?4c^At$|ZT_lp*GxqipYYGg1u|6-(~V0{m|za@WhBM@?9BrMhM)U7uE
z>lbLvm&m0*Y0c4d_7rHr=;D$^zTZ14UkI6A7UOlP$+gw}tPHl@%)pS^QckxFJJA_p
zBoVuJ*rR4VLbuT+aqpW^(QC|P#&;s$uCad;W?Lq}ZOTU^;=CgNS2>%|{w+RS-!Z{ETqc_~;Nwzr*ajMtE
zN23>yI7>m7%aYHYQq?iEm98?bcH!9{f-8tGAw1
zewSo_vuG{hL$lRapBK8T2k(^yp;QLp(sroeIfOBj^bzsJ?vEfXSa`I#a5eSX^{WKc
z9@MZD#gd61gFZeZ^tn`nxpLij+$zN}|Ae#Hqu)6(PaD6~_*4&e7wS72051%sUt
z%OS?Iq;g~RsHOFfo#<7fbW<#>t%mLiaD7dgyYaXcQ*IWhk;}W1_AEgRixlzq7jNBt
zvSA6}VYD$Kb%#pWp&0nSzrbki{7j3P)L
zw$n!0E@cycW#5UgAt|DNi6LO|KA*)dS)YrGP`!6rv|y~%+71gC4jK&~lS%Dsa7P`}A@
zAIk(rvBn{&+zeojPDHUtD8_n<#o`Ks%HH4GP(NUOO$(3KVF=Pq2W>yt9n_`>E&-i^
z*>wQmk7FDPMVJ!zQ2}!n+WJn7L3oQ8y-M>#r%G}Tx~V|Mtym?K!CcH4E$bcKbvM0-
zCsLJ}G$ZyXjY;1VKpXIa5z>_RYp|%i@vu@DDF8EA&|nY>Q^2u@_fZ5x0X6bPOOVMU
zFm&)R0}lOtnhhO(ZQ6#Vq{s_J+iSn#*Ro({3uv>-tyvy0tvj?C#mpeQHIU!?q!gCF
zv7cnBZneZPU10{`84A@vA7zOyw}w7);wC
zLK(KNjcJb<>>p=HuY)60EW(NmHDcQb%Q6cCG^cH)sX$}8B1*`NZ2@LjujCia(xn1m
z_nT2q*2LKjGW!Q4f1I)&9LP9AL=UsvsLb5o`e+yefLl)Ov5^SjuQ-uBIvIb>tug1J
zH`6GVbYsY@O#~HU$UMK+Bk-sHr#MQ50=>!O*eszc4HF^Gj(=sCnBS#zyuh1OixTc|
z&TXBdq^{csW^^Ou7g-nh`dbE9itnd0DT5Mma12JCNdV}E9&~Eey&M_T{?IE$y-xJ1Ld7jb4Q-a*Z@F=h;uaX%W`AZ(T>VV_s7EYBU{-T%sTkNGgGgPJtDVAe~}
zeWf((9mG~J^P3IpiwDZ?@MTDdxSb;4*s4CaVixx;=b@;q+e2;FRj>Qcpmf~BdJsk4
zs#-PJ<5vN-!cV??YLX@mMTPke#g;Y@+=3p-21hX$YlwP5dc8^b%It=TT;`!Xnq==C
zYD0fK7IlEY$PVAbgKS)#Sji#+0d|*%80t+PllHg$629l2*C~3L)ITLU-1NKgqj~RE
zwM*RwF*5*P)8yn4z`v_sN_#qF6kRH)#v9nR%)gsdWFr!w@F+JBvGmbn>@py%;)?zh
zKS>L3uM1kzbYU5?VLb4_gWbRWn_)_Usd#8!dagghn&AdaG-#3eYBjH6$BLfk(SGtj
z2zQy}oh%&pVx%?HLV@%rPwPsd07n9N$9)j2xlw`clwd|5zg_K%;t!X(9Q*VRHt_oQ
zoT+BRhX0*8#v9>m)y|@PRd5b+hE7=cZ;`7~OM6y&gGw51yb+;mfw?1RwW{n`HAbkM
z*V(;w&!#yCXaptg@B>}d!NoK4T>e((D~NDDRl%IaLS*;>8Qw&=c@oVciH87DrMJw1
zG#HSSxBE67y&})N(ajTqpc?qxzl@pLk7$RF3g)j1Z#`dr9-xly@P1R-H;_2lsVq;O{Y6_}GL!YMYR4ri(#YG8t8cw*hm#uUrQ`ue5UJWcO$^aj@d-YtOT
zhP_{WUm~)A9<|uV()jt3Ja~}Bv5qYs)TnURSsBmYI*`Gnsg=TL%Doz~RE1co4pXvC
zd%pzNGP3(n&nBp!1U1=`Idn*tPvj>JmTFr)EY44MroJ@@w
z2t>O)LgaNhr*n$4+{T`{WAtiU5p}5bmToM>eF(#A$)m_jV{YFD&f((tZDsU>_fdilTw
zjY+uE63m4Cs$&3V#)aBU@%Mz%e_Ry)ngy2ZxG7lZHV
zJ#K|<`?m|1+Rs3&u~CaBY|U2~>SG&8gEDGM+}Ht!U?6k%!S?fu1;MPX=Db_OH~$If
zC~qoCuXIW>FVy5+3q1Tm-|G)^GsA;TpgbTDXc~ko-dk{YE+h1~b4@rsr)MxX4Q2`4
zcg{zI#;WR}Za-~1!kmHYVr82h54<_23(n+$hYNom@m&Kb(!6BTQqNCmhC2$W){&S29T6RU<3@yC4D^fSMrN$cHDIAR#qs~45W|BGF8%51#W&?
z&mY7$(9KrB=zN64$%M?Lw@d=#ReQzPP_>$YJnQTmA{RBCK8mu$n7G(jB1fuCd)hVh
z3S8{qhuoumguNvy1LZT~@!NEBuaU;8s#8^{U4PX}Rmr8w4#$4yo7afM^P|1
z22b!$Fr4p$(n%6bcRW(=T7qpzS^O=i>I$TM4Kf93W#f)LjQ(bPXvQWJm5M_W@%$=V
zuO+;E+e=)8DqfrX&PebUVur`Ke*D6~8U^x>zT05xNr_IOn5?hsD2-&tm%&blP*5mO
za?7BuP|dJ#>s|!rLx|9aeE6A5_xw63-1FmCi5QKJSfO7R#kKFcv6!joG#t40QXWy^?=$fdCa=-E9RlO
zl50Wf?F^|>e}k#K1Hvc!ER%OLKncJwOQM6e&XN1@7}`}KXq=RnrRq>dEqk<+5e_ng
zn3-s;h0lFZza<7l8g=GW2PNw!^m
zpndg*s|5|^1Egi*8R%6S+!dE?8H-rT2oX%ZQy0E7z4fC){dYNqro&Ei2cSC_p!x2w
z!N&|&0`f)cgg_!hJr*J*dHY+j1S
z5*Z_+2gFwDlgH2$DOsQkzzt3mD0^{($E)X5=4zc>t>QLPHGJrIL
zapSwz5-0qAp?tH)1WZKs2xr7b->H(
zSLs_U)nQ25NJ|KZJ|20MreoYy3JnD*dY;w6x8~Nvp47S*a-#p1eBV%MjG1ps{B3-s
ztu5u-CqX}c5ja9P!Ia&DQ!k8P5HJ2|J>3w*iJw&}RyUxy^F?*Pn}tzIhvNFQjaj|8
z(%wT;4Ic{YR$33x>)FZjEudNPg*n(yEk!fNe7
z42hsv4{R8704Zxg#?erk;$HbWhp`LDlpugTg0bu+jp5t^x<(|+m-J>yI@>-om;lbK
zC^kiUI9QHP2TpNHPNF@~nF3P4SY%1Ehw`{xiiaWHc6Q{XTS9V`|E?VqtyUIQ9`}aP
zQF$vmFsBk?e+uXlagYsf5b-A^bMy)`S$0)Oar1YSL6nZ9^nJO~_e=AFvcn>aWL3dx
zrYvx0776%~2QuYU*H=Y=?wxQCVb2N?hk}l!W6tNh0q`L{qG3lBNZL?aQBW9yuC2N1d+mgRnKaa
zB67Scyqdd$;_7xW;yu(TI7K@tIj;c(P>$`&X^voA(r9fuj&--e8yjy9pUDt*sdzqe0@i@|3O(>v*(0DbD
z+gsb><4U~)+Q}v~MB2$T$VYmToV=H1huobljl87u!4F4#oLk|J6{kXGm{=$qIga>(
z0NnOLx8xlYy1v*?@_#I|&p%pji&iQII9c-EvDZ7ByL$Pz_FTnz{*Vd`2(xSTs!$XM
zGAbYrB)>5q_Tw(QO0&0>XI^k*_6N*-j|N&wE|Uy%2JX86wK-x>%Lf$i??pOFdWHKw
zPd5NYv9_#+g}?U~aja6)LWy;Su0m11m~#aB)Ojn*?~e|g&lh(hC>CKYw%FB@skAH&
zb@EJ)1*L)Y>(rmbmk|-S|;HAu>MIFRi_m|cpE*Zf0#QRJ5vq9i{^C1#G
z1!I}^LBKg_OuBkSd7H9|S0|x`s7pge9kV1~JWg1mu!_#Rbf%FRII<*aP@Exz{1Wk@
zf=e>{3DFb`yKsx&dcV^G9H=2PMph!VYUF2f0j`wHvxafkV_w=vwdW)B%gW78gt2Or
zSgP;1R`qu1#3M;G@ed2g-3bX>8C5i0X7YY^II~)aLS(2P^V{ElHWO@vQugZWW$j^v
zQMEN*ODW8c$9Z*@2mVwkvo^b87EKl``!h{i`&LFHwBkyjtC-SGxrQC*eHoEZ$#M`^
z7)wQ4&J1Y;BXT4v>n%f2a}nBc52>PE?4`+i{5|W=!K=MIb_CIaBTZ*}!>4u?(3-g-I
zHZhmh%U=y7ji{Xi#4IGF{7ZI!p53i*IwX(}Vfb+VSK*qKdP#czOE&df1MxlYgl@j=`}gEk}0K(1VXP|(xw2lu)j@cg(P^h`n`a8M1WJ*F^q%f#dZb?@ms
zq|C3nO6Q$+?l1WRvIn2tZjgba13ku$P2rl=mf3yU3pB|{eNiEnAHTZUkVK!BN{rh2
zo!xhT`O}{?hi}}H3W$$vZRdVP0$W^|8+%CM$Ca0~bR{u9=|H&^!km@pPh2UKqA28*
z>!xF?7!I@-=}ivu|Hnp0Q2emD(OeqbM^#H2%_<0g1(#kcY7WsWzjoqj+c2{G>U_Q5
z1QO7`lf}nVt*Jkq3rPX6vLaJ!G*4tN$|WM=2zxFEC_nAyqq3=I)WJ!Y7E{
z>-ZZpZ}vvEFcPFJ7DtQCe?~SMlzuIBG#kO`iw$ZlRpA~HwF45TlW_xeKc+t(A&LK?
z%Z_mmS;U?xzJO*X*G2Axj;DY5CaieLVSPu${Kk#3f`SzxuUe9sbcuSx04~j1xn#Ib
z?jQ;07oKZ-Ytrs#!J*({=WKu|wu8BvpC=b-eO{mfffhfbmkWFUQbvRP9l-hZE+@9k
zFXg)0fP=cWSq(E7>4p~yhAZzO#AC!2Qt?awKLVm$1eS{s2Y2CnRI(c>10F<(_-QYQ
z>Y?4rOS@DwU3_3LHH^OrCtMlwrWXg06@0n4fLypz0X$p99@{b?(*>!PXEav`ekO#v
z&d|it09*XiLk$=?ij02(Eqg}ce%XX5;eri_z>=%}hRpi}ta^!i9Cjh!P$5a_3Sc`#
zcH>5R3((R*c28L&GD^0eh6e;)7O`OF!%8omQ0qPl6fnf$cS`5QhxZb&fo$4+#JCfM
zda05s?xZ+$s;IZTNw`D<>9oq!=}4v!K}=QvapTX7zWtcNV5CcQRnvQAQl^ssN~CX#
zcdcz{N4}tl;edF6bjSs&{1!wM2f=k+)f8MT5JUr|(>>VX+%kAdDk%gMSls42;)?t%
zH>@!hz7gz|`lOuy9kD*0s?>pYrR|OzoKp<^I#C)q(ziad?)aKmA7w1*oLi^(Edx^B
zH6S+zahRfF*Xps8RH!ITHUT340mpaM=dDH^$%U>nLd9JrRgxhaSlbt_>poDTR>i~I
zjA^-rrx*f6nBZ_yf_ylL9AM6bWxUyc;Z520>r?h4aqpetj%5V;c_-ITbw-hoNW#Z+
zXPz!ERnC$XW(Mpe#|1J53M9O=u`tI$2pKOd214vaRHsc(mPo}N*)yfuknQ=zVf95%pIy4VNovinhkN(XsR~51MgqEa`{zud2M59
zwPT}wMycV<+b)fWI~o--kupld=_dxdT&X9wx#GDqm~G7mat!b>MCXx^BU0^}_Wi1M
zp_in$ceL#=sgF{gfSH~HTrBU$MtAAxjH#R#q8eApg@0eajQ7U0bmBnW&b=wv8*Znu!)yDhV;x3w9ye*USqT>^DLw
z2dQ#@9Z6)!=E`GL9?wvlqf|jll(5wjsETQ1aNNU3li%>vp3-Y;l@F84Vby(SPDag5nVQ5xKvan6n
z+g)x*jyq}yHa-5h)?F6kM|v^3F*G@2CvJPa3nD&AQe#e}<_^vz)T*WpJ_(vtz*%#l
zK=?;p02B*Z2EArnCgbx)3fuTc-_qIezMzrA|M)w(R7J9<0q24wV7+CkslBAThe*>|
zfqwaPWNMA%F83kk50PmZZvFSw+g{CYQ%8?b4s0lC-W@GvK3>Y50P}kr2!qX
zLxbE09Sas*5+1eTrz3779SkMp4oaeEq)5`ARB2*H;ocq<{|3p8c*VX%j!4d~9bZoM
zT#xNP^RbS6kIw+nAb7AuuBEw`=0Jp^R%zNB5A`Z_G+JKEEIXg(2A}r88LqqitsCtz
z=goe761lH;1xKCN$doxSX8toLzhm0!(Vz~6UuB6T&m0hsgyKD*c#5^wg0-Pa3I4;N
z_#{v-mmyd-;kZ^Gr=sEr=)E1Ql{>Fr8u{e#qde;_2Er00inB*M+7Qyd;L{j7>9hl!
zmq;c>ESIL;162Z%x;r8!J2dqMVEm65)*|zYg{@4>KrH*(_Zc1h{*;U^h6odm#o5ak
zu4R-?ml(qomIrU9=j>Ug@XHY)1mFNyNG}c|-0-1!hbEs!q}lC0jmw4L1ZWEIG3=IN
zrQ1b>je${jjN7Rq!O(2UG1BySbP5G;Qi!N8_R!;zQ7$k8tWAN3hb#f&q?Y$^b@I^&
zNpXd$HDhgPYonGx?8t^-XAC@lw0(BtnJV(%8!mnO_03R`xgJ<#ZAkhr4`Np`EJMV~
z_K-rSkkug?fD61yPR$yOlW~FQULG!DIO!A{irhhC6OML%dT86tb=2uvkeif!xa~5(
zEo9c|e~0f~8`^zy1bX#_F3MV>VuEBifSVK(O+P57@*qgJ_~#Df$78BmKq?~fwe%lD
z`E5Rz0^1jXdmL+>FMK3jxJ9xYAJ;h{wCon15J?Dh-t~|@9};wVTvlfIN$B7cfT(6j
z^-!LZF>b#7M#$KI)%NY-r^us$Ky?^xb5CCXRC*pvl`Z1NfYZ{Qr$PXuhIl;t|0JRL}B!@Ap92faMzT&Vwxt1}IU>W};XnKAneX3UV?*!O)G
znz3&&)+hhpUs1F&6AmP
zo%8vA-tX5-kJpU2@LF)3|J6>H>ND*&N34M3hX*Ei*+r(nZS9w9{(z)-;q*yQa
zF1|{>oI^Jw;dxq*OF2e=3%5`DRL@
z{g^$JcKa}r&q}u}g!es(Tdm;I=)8d39-D>OA@L)(uyH(Jcm
zlQRN7-a8?`!zE%C6WgSehN@5kQl&Ri(jUaGQ|ql=Kn(aVE^&RHf=BSimB+i}RhuR<
zn-|7P5z_(*cW_!Zsd^B3qV9C?V-7Is_%m4Aj-b-)
z%Jqa3;x&HX@YvJu6rNn1NodP4$16s*UrhVx|FP=(DB90LG;>(Cn_4hrqPS0MMTDQA
zdwCBJt@PElI4~E0bmxEG$%pppL6+hyvk1=VdM$pTh@s&{b|r80_H~^0aEqH#Z`=99
zXQP5<_s$*M%3W<&OuMFJ8P|V?03i#FgHS{eH+HDQKO?r+M6oxn_Fx$NmGf&f!AQn>tJk+0KB?#o4^hStkp<{2}degpB2f^`L$mGB#CI
zIK{Q5bT~|DqM&u=Ky&MEQmWn890Q?6*|fzGI?skDnc`W87&eQeb^YkP9hEkHbsjI~
z_0piOa>gV{@{#5n`q}ro9nYq1+--SOh8AUep!@l%e>0-h4#-5XxSUB1_JK7d%vvk@bHDAqf52z~t>E}N*?ah+)Jy%%d8xe7
z+FVZI|K_s|A$6Vw3&)JVzq$8HtGp|d%#Ya1S-xv<_{?mReOtCi>ur%K7GLj8@gcsu
z1zm7uW;z{#e3}H+@tBDGtjaIUe!Yzh6ZPol9WC|D8pN`mIy|f5AcYW*vBO7t3~zEO
z94F(_%kcSMRK>!Moq0;|TsMd)gDK1P8Lk9%1U!Qo_4t7npa7Uh`Ro_~R!bwwq$Cn>
zOSS8{V_D~cQJ>7UXODC&%?HRD)3egofVkX6%@~%b%@N&nWCHY%^!x}=lfo$^w{`?L
z360&<;*fJiGMvSFN!^uD#@I+%
zhd0RGVD^ss(g+9o*s-9rd%USO2)C;P*Ap*(eK&-k)G+QhxpV%|z<6Wf4(Uc@-Sjtq
z^uoB*jrgNjQOGW
zR7GY@D`U`mr*E%6(ZsxW%fzaE*E`p7Ou%2Nz=Ae+SmbCVlZnj~@T?U0z^P2#vXT3T
zYH3igtJp!-f{yo(Yu)%uQI^nN;BR`6+8#va)-}5y%)vdrM#ku?tzmLir}%wSPuFC@
zvV`X1Bs=$}*&uwO`>n&z(_6+{#mV7HbJM0cW$s5Kd~bOqZcKxi{N9;EkSr~Niz-*%
ztUJ1!rsiwfBrATjB~Np7dR$gd7zGCY&^~QFp?6Qy3dkW6W(Dk;z;P+#QPOT(m4cKE
zo?A~4L|2%?I*usKO$-xX@qD&5&-l{f_Byoh^Q&recJrUsMcQHNo6_++)G(cTeos9kXZ-fh%$e@hmQfM07;C5=rkGXbN#)Y
z;zu6*)%&A^3vT|>d_f*xAHZ8Aa!AMz_x-=ucsB8!A$`D*?NWA|vA{Z%Dv+X=CCQ~U
zOaXzsvPOgPj<8jFAAP+SiVwu!v*9*Un>m{;v;TASibD{b$uJCiJVM0edDnJi??z*u
z8$Nj2X+BiwFfe_8-D&x?oZ_K`at&Ec8xfgO_jBQ_+&k~o5L74r)eF@j9B5P(t*XjLOzG@2u32AbxfB!qDIGM82q4?l^HUgi*AxISpk
zpdrrD=21oUvq9!^V%JioB}$MQ5pvvY>DL!2ZO#BI4nW3lID%%v0DbwOkl1?z{{;^0
zi1-~ryk0?rh}wXAGw~!N4;M}8Qn4bVJOHnY!tP{wdq>r0n&XgWtJ)tTkRxESW#zyX
zY?ZJ-DHoS&2U|g=&FNPhkYeDK#t7ow4$Al-IBiU<76WXg(Eg((N`9-Sq
zE}TlHeue2`4^s)tFskaDa!zTtUr$?{b%}^2F;DNAP}0j{Eh3q_oGG@t?2c6v%_nvt
zU_eM`miwp)kr~giwPXU*(DS*vcN+x+r!ef8fOV&!6@j5&tv>BT7}_^ihN(kkHke^C
zIW;n!<KFU}9(v#(^IXR~z?qIxE@NIFG)%D5duTA}
zM3mQ0C6rY#3>HBAFLz3!sEc^ihjNbH=G$h5OH%O#1V6?jSCx7Mw3UHq^n~W9|GPc=2S$BX7ngZ
zd~>+M(C~=ZPbLD`&>&}1AYzC*g!NC2%$dsd7sPD!;Dr)eH7P(z!AOUyr4DFu*
z7tc~t1$yZWgE=3xNochw4Mt7osY6Q2&qhpIVM%Y89{n@pCDyh>-#negFM%6RPX-5Q
z7YItk{L&&D*llI_K{WcaO#DW$8C4NdUG7$;!DSR0-=X1$v5>-(LQ*D$Y2|-q>&LDZ0z^!|S<78T&*l9>jB9MDmM+^g83$78X_z>2IevCVE9mJ%f
znsZ)b*h}Vq%TT1L#VVySSIHmm++qDUj_=_bAARVBOgN;AAiJkLnYd_{tY
zj#hB86~4*9G`ew?hCRVHpSZtt0RHZk!WJ>);K*z*x@iW$gh+#DJj<=fw$AI%x9oAp
z%n_sbDwZ_BbMp!5dWG_rEAdbE=(5=uzr(lT4w)}78V_YksEDDiKIL9@Y!xS67rgmV
z@oXpZF!wl7P}qu19?MCgNC-CuW!~2C`IQo9f;$@?qVo(B^?>>2OMN3c{~k-$KCyQ>
zluUODcV-xAeddfpP=v23Fis&fQGYuF2+YNp3
z^so6d&Apxx%zv9l*S!3g5o)nqZ#(~IHsrf~c(=y0+H^~`d$)*lncOwhW3(LN0?BOJbQ1!;Iyb1F
z0OI={P7L<>hm{Cq-8!;cu&w7nJme1}Zg``sh#+zZfQ*1WwDokEP%W7t!nlAnrudEu
zzgG2o35Pv^DKG(u?`OzRhYcoF|LHx)!&Vd#t1n4
z7@Ux5aUjGS7Lr4ILab{i)^!lwOo){$0<->yfHwi*!-av!p`I__-Qfn|u9?}X3Pv<@
z(Rd*>@J?pLtOGlGCr)(Ol`7zFOVz!{grkS~T*l=QV1s8TyKNrgj9GPPFl_cmN#eOMCC
z{CqcUzdu*B{F~^vPNLt+UdSX-uNr>I{vg^{-1srpYz4+u!%OHov_oLHYdE-@IH@&V
z0KkP3kAhj>L`m@8N!#C67b8cZkE-PRt{kCE*6T(bg~>^51qp>uu&qJ;xso
z!nq|fcnpV_hCT!p9}WozBDRS5H&c0_89hs_fz|MGnkZlS1UX^4+G*(%+_&T}Ur7h;0@x8Rc-U<
z>ZdOl@zUa9CVvcU+-X^S`*2_zDXunzj4j?KL?Jk9W)R>sfXHvB;j{ZlTq_)kA3kCM
zLXHklonxU66PR4rpXlI+V>HNl
z>sFg{R^sP;u&Z{3!kB2({tc;`U$E6FuA0s;GWRqbSQwN@zol*%zyXgG55t;O&rw*#
z7QW5~9oY1+7dl2M@O>7CgU=CIHIg#eF063c*yqM2ap~-ow73%Do2)BA&HPJqWGNbg
z31G(I;&Lga5@gdU0Nu`(6MsMtY%10gzmKKfu8DT+36~$L^?>;vsVm}RH*&hY39%`w
z1Z!?0iw(~r)~xXDdh1FC&QzsrXI|jH?Bh)b7m3mk&uHBTfNY_uSq(cSpuyE`Vt$g#
zyf@5HK->M@l;eNk-5MX+NHeJcCg-X*mzvKJhUj#sIr
z;HND)tL%xnrqeCfs@(0i0}&l(YbRwH+V{LueuhaFEcJjt?0U
zdYdmHg};G?5uFmxXKmKdgwzZQjhe#58p9a^VSKu{UrQnDG?><5NG<4D_B3R
zh0gQT#E5FbV1d~96YNSs?=bf(sM6sV1;KHUcqaMQU<`4CJJL|%-7@f1rbYz+39mB5
zvpsmMn<|;xEpekZhj)I?1>Ew*TkYwD}!2C!j#t0X&?_%D_?
z=~K0Bt&oEBG{yd^8N&Nyg_KQSC0jaSFkBh(CLX*E6NBn~EGH
z!LD)VbXN-?R(WVoxHQD^YCeRMn8+F*?Ce-;Tdf)CN`iRVT-~FDBNFJ{@0cQ@gRDa|
z)HghbL5$7R+hjuPii!`XFUEqX_3as@Fkh5lB=PSNZj_I_cLXs)JnGd3&lm39aTa23
zjH8=){_lA%2CH%VrBWFJpy|@e<6sX54SG#vjCXn=zJf5BXrzgdUR?Y;bSxa4j0Y!;
z0?6*wi$ap9is+~WTb#;@!n&+(8R}O%Q^J$8eETQDA}6c2U2XSH)_-w-+9s50sBk}t
ze7Pa)5pd+2Cm3H)5_EWI?US)HKQQUj7@~Vt{9HF=SdX`+w~VZn=;
zA)m%}-1OoU}F>-=!v*Q)`g
zoqcNj`N{5K88OcF{gHpxM_LCJxrecn-d-RQ{3H`Evg%+IirnEB9htDO!2`>TD~oue
z(c@_KUI_cS=0bvcrg2kiEWga7ayNPIAxfj~5_bWSF`lwjhoah)dcd1kjt^jvB5n9r^4eTP{Jcv0}wy{OGHJp(XmYcQ4|TlN
zd(z7xG_Ea11P+`FoKz5KM=vnz%vSRe5`st*!S{+0(gNaF&SA$cCP|01i{43pDmXgz
zn>$fkCc633_Q!@8Vl+V1+iqSR^X4!cHPd;I5Dz4P6FJ{Y*|*D{lYSoin28+q=AxO)
zNuMO5Kt;SYIRapu5-3*bPuJs%m^g3cqOzmoeBTX(o*5s-Cc1L2v0SYO|)+b^&2~(-*P&B_s6U=kzuU-8lZ8(YUz-DWHib`4Fl+z
zROC+az9z*?fzs`7K_4W^Je3XMY$Pvvd<*g;|KMu$t^BMcF
zUy)K9eQFv(K(~)zgdXHV51$GLe+NHc|5C?6d>f!nUydEm5H1&Cz{^<(8VPE_Y7n5#
z_DWDVY5uG(WsOa(6H60!tbdz0-PAvO8|*>+XE8)DgS~cC_=pEO^tc1ETtGx=Hhuom
zbN+voTq=@f#9K$objl)r6#9S&G+~9jSHuo?GZPa`(IDcm&HL;jOa;UE_m*s5`|2Lx<=_S#i+uqpK<%8zK1JmLU_Z}Pt>p#0sLXHm}G4w%406(9ztOUTAc?onEgoRT_4+7;4
ztZlKH&DMwiT0d;cms!mAtD)ZK0$^yd4loz3e_`F*1i%Oxn60UCUQy-zPfw`biqm|`ij+>>OFBeqHcXalonPwD(rlc%ZkYJ{FH)D_T(l>|>
zn5Z*(NclVa!Dd7gV8-^@6r-pr(&*9>X$5H^03l?LR9C=LPXi5Fxg(5V5#Vh0SR3tX
z^KzMa_V#~hy$;q89Sy(aH23Aqqx2Yq2U~ZE+%jiS$Drkqe^N~Z^{Je;(G35rfp
zv&NIX;=4C`auN@@jQis%1`G2G%FPd6&a1q58n9)ICNxXuxZVurz2Mpg3{w1d&0{c|
zpmDd;{f)2jmj1ex4zI7n4}Iu7TOa1>&{BV&#I4Roac}#2T`}9S?$LJ^T=juaz^-nA
zA>zl|=*^Q0y6Tgsv&>(1#&~X=H(kfg(JAY*Yl^q^S9RH9g3TCQf}lNf@eyyC`6iF2
z@GhSu(ETK+D%B49aU@?a-@1X~BM24G^WR#lVsNcM18vN!#{H7^A4Pv~)8s`AUVq@<
zS5G^}`|>Ttys|H#CVPn(T|uLs`wdZc3mse!`I6n-~v+h51yn_PwB%
zmM*D=vUjCFn7NBc-p!VK>NC?p7f<(`$h{LQ;BtnyYOCeuSVKY+_sDv82<3x*U4z%1
zrQl}UaBPW7aKaS*aG}lAbw%;k@~#U#)I|FAcIQ?*8lU(63qjfR8&}Mu?k%u&naIL~
z)}}YwSb-2l?y!v*GN`r@_3e@g{@S^zEp^7}1QtYR_Vq4{I
zaj8OA&*-jgvO7>cmxi=|GHg6BDwv?1xgvPGh$mND$|;Kyx{nOz0Y!P@tpJf)~1(SKG$Osb+px;y+S_m
z*3xXRKD+qt-mg17?~K3w#S^@Rtz_*IHmW^LUpO6Ce4U`V4_Tv~;kwX?Imb2USnoS<
zWW|{5U$-GW^Z2ml{k+G&7q_H1D8Jq^pHFEmO!iJ9vM|5(@MS$HMvUfE9TM19;Yj%5akGFTP?PD;0KM#29
zr&4QJZL)Tj2|u<_{CmYJ&iyHyGvRv`q49|NMkD*o8p|XoB_ds`8;O>dGTfO=vynCN
z+C^xRD&-h@m90LU89`<@I%PBas>^IwWy==)5n0;uzC5=!7(%NBrtn~~a3@*ax0Fu3
zyJrb}Wd6$9!v|(L^y(Sz$bIACy0tuh;TsqAV#f?;M^%Trt`B#Z^=o^iCwS!|g;)%N
zn!TK!t+P+ZbmL>IyJqgv=od8L3
z{_X^&#`;P##tv?s^)$V#Nc!C52YWMIv2H*4G&5xU=h#KtGYWg*cRbgRd-XMV1!$D4
z`_yXQ(l2}NvnMm?m#OYY&XyD&a!@`st@FJ6nr+RVjOFx8gLla1aZ3{wyKRj|;cHUD
zGkaBkw;PWeE_VCi+zRA$`3xN}JjP!#(Q0e?>qk9}%
zDg}jmhqGZ(eTk>PZt3)|O4oNSTQBdnTzs${s>+e<4f)tG|6u>PGB!Kn3~}6&AMHR9j&_5z+_
z0P*{ElTop^{XQ7_XUx?~nYg7~m%k5yHx|VM{%QJKPGjRn&x&&4q9B+&54}pz1f#wC
zuwFH9vlFNPqVnJxXRO+a{fSqwI@lmrm*UpAecW)9eT*M+d&~W4!mIA~J2%7gK6!ph
zmjn!Xt^x`|UjszUF;Rs-3g^tr86V!?{C6C$S)^
zy+hpj5!NQF!^rt_5`tVWEY$q?v&J9kbg84$4Oem4z-EP=87^|&S&?bEM-m28v&A{7
z;z?>5`V3H3ajjuJ=Hj>#qmwIY(zBjNHH#R_$cdGz`FK=!b3{ZUKYIMVpm|2Kipk*+
zwnq2AI?Ifexf2O1mY%)q+ABY2@Sa<(59gpN-d3ooD%$)NCghxI2b6y|78rdX6@KIX
zg6h3Zj*SO^nm7PLF@M}Y6AeNWcfk<=z%OU~O^w8X1_r@eZQkQXe1A=mx2RAe5p^+Q
zROIApyrmwP6G4osQZAT2uF3=u-XKZ$s0`zMad>j?hzQpVFn|~R-dwN;Qt6(U9~U<1L}v0Gc>J@A2qgxn^kdrh(aUK)m*JFn1SJ7F4J0!!
z15_X(h(@2MhxXdx0RXoX#I*wOumCQiKaLbvKMxd9Kt^Lgt{$i$Ad4F0aPA`*4}kr2
z!8%mXPzH$Kn?sTX=J$>*+i*~!fB-cP1yZaO_ArS|1^GY5$}+S6MaNbm00kgNn3&DK
zldZrA=o@zk?8zcd=X4;ziqr7Mjhs=vqs{?2W0^vsjkyDQ98x=(wR*Xa^p3s^%1bYd
z?QhDHRLdFO2zuHZj+hd?+0
zWEE_V7qAh72mFkopLrMo2YD(3+?+ovSNN$U7RSirZZ6=*<_Y|=zdw#$3M$0O7rmy(
z0{R@kdJFc-iaz?~d_@#qlF3(Zw)?TcP?paISYVy3;)U)UqFOHUSK%>%5`|5$@UJ{s
zWU+O5ajI3xkBuT?Up}SJPM(o_+~ctLL{@2^R*9!T!4YKs8Ec!9eZ{VQi~!^n_+p`<
z{*{sOE4}*#;hQDK`d90sOSOI#{*5b+kGC-G%YE%$OwF?O54<|08*=_!Sz$?lvvux{
zT!GhZ5ViL<^EaMwCQE3=PIuKVt=^OVtwV&IkUjWB{GYp1I?9UgvzPKtBnHJ
z*?~>p#cT5(rnIK(Po7*CTMIl_o`1`#a;1-Sa@Mj#50VKl~P+kX7ms10f==fnOV
zr-SYPaXM)JU#CNkj!N+V=XB7hOU+Voy5jky>%*{s8hY67XH>vsk
zbo21!M)b|Rdq-lXdJ|8yzG{v74t~Y|m7^vNcK5nBM{-3Ja|M>dUcaDNW~?bO!q@X^PhGrpGgkJ*az`p!%y`%DeLW`T
z&%p6F{=;p9?=BtuF-Z9M^x5t6?*<%yk=8JeA`ZnI2Ks;PZM+D4{M6Iv>4WaKPj5Ip
zyfpgLRMR-{kLPyu9{^@`BL@7+qBI05)5M}-U>{QB%>l|NohN&3B$ab2<4n46?8a;w
z4jfUCpQm>+u9_riBUekpJ6ZYUA6s>Q&!sQ3
zS(>->nO}-54%7Eb<1mV6n+-&p*RD9K_u+~h^#!DI&vxmFm&*(+tmayKmrIv(r?
zeU_!~pXIb%9#|;yrA(?a3MSaVtpnJ2WWk&J8nP7z#y4`!bNQuj(A+w-lJ>|9nu2l(&LF4yl!o!2&wc625{P48HaGw=
zuSJ0`y&DG!b&cPv&{@QJ>PUf65_VxW|6GHW8sk@0y7&WP-nCTIA2O9YI)RlWnnHb&
z^sP*cZDlpq(woh>=hpO-91u;kYBbaIEE`4wOv94io(9jE@`>RCZ>)emnDhh~^xmsi
zv|UTh+F$=$ecLqL&;NqKhT3$hmR4wUb$SDFXHI0#ozP@*(x|YRWo&fY^87xid%oG2$r=r7ykAHw;2Gic4JPLLT6J*SE^VRKA8qSHKl88g86p9;f9k<@HI5&Ai@^YjB
zZw;_Rmz`6vffhP0A7;M4$@lGCrs&XHGeZD?>rfG?isSjB^kII~1|~EPZahA8lVl{1
zbl70F!@3N4(;SVxIdZVC#&HS&lN+3JgCMZMA;NUXa$Dn?ghbH@ejtcEwxo2}eeCpg
z8^l)(#@E{B-3
zKCwoa`FmPpvq@>TJfl}Q3(4jztbpCp$3o#Q9{w9@q?G-gG7kN90Zxrc7ljKB#}g<@
zwyPFtf2n5JEc&=!JVW8th6etJz;AePk#vcqpiWuLf?%
z79m9IWlA*tm~FW9C{qY0OZLl_urS`L_ASZmiQ|W~+#5Xw{yuJ@pMnbBk>JGqPeZHI
zEoF^Nd>9d&zVYbzgr7E@^GT__GHtTM-0!$J&xg~8s4)e(z4Kn6Eenz1S2YvgJB6&9
zEQMnVV^q4UJ~>;Fd3hXpp)0rl6Sh6A+U1xBrV0lA*M>^)X4G)`5?3-mnZ$uSTo1no
zh1JHKRDY{~+=7O?PJg3hnv`jm(H3N*1&#jslFZYR9-HNnVKcI5^vm9nlnl8(}=enMS-^TAzd7c>VEy;
zlt-kh86OoZ9^i!Nx3^S@cQ@98+lP+`%83ntRKd3W5ta3SJOX>JC0AKCEHWlaHhaQ10xUbKS_C^y0Sy@~jl%fZ`zB06@jO%wa8wd7w
z)Z`PuSREpblgdJ`wCmi?-GMmWb|Y@I@8P~YiKHc9&BYHrZa5rw5C6{Nw|F{ndU@=-
ze(J-yN92FLa!<1M`gtCq+*m6xujy1y&q34|sSD&$HE48gBI*Kb2p9Z0qF<&=vh{w#
zVEK0HG)nrZ&I#{LSu>Xv
z^oI*$L$rv|xs64iThA9RI~};B3VtTT0er7{dQCA2W!l6TmOP{@zR`bss*EN~*-4ee
zi0|=8Y?J`kJn*VmoudnWEBNO;*r5L;h!yj-cPrLCKeIdj>Bo6yAvXzOp$0KwLZS{L0!Ag!mT|Y)q?2yy3Y=$6SF`W2dh@RMj$zSU=ceUUKh1=)@ku~k`ZT9;)2q=f8Z`7
zGIcJvSEOZT;G$hSKw&@@V*?pYfvE#&01#$$;>?>2dmnWvwVzlEN(9MKQos?YbI&Cg
zLfk0e{Eh5H7AlnjW19!SGl)ni+>^+*@quD@tszWHmv_uaA-zQW3;Q<0|zVKg;tS4^@k0CmM)47r<^9E4R0Al1yp
zDa}w79XZ6}5l)L{Df0Sn_=(AuSj&2NiW>YFH4O!YT6jYv)!?@5Tbc>Me{e<5*dOaE
z3Miq9rCi#WS2G)Q`5=eY#_E0O1uKw>8s*t7wG^5h!9qYdortaI;5bc!nlP@3A6j8u
zu$OHBsJjgOE^y6&1o^y?@AycmH~m~hx$liQY={(A%9=xK5X=z?m-7x60#RNddFGKS
zEmbfhl(VdpLFF9ARo5vAJ!LX#kMuW&vM
z5r(CytkqK|bbW5T^aEtEdTKGY^0ksq?CFVcbc?s4>HK^{@|Jovv>J9j7GglDj-$XZ
zRKN}!k7~yG$9mq+xSlI@729d?{JY0zYb=QbdC%X#C&%OblUL?2n8J}RdW;B7c88iq
zoOM9hcoM;)0OV2zW2G#IYXUc2l3@HBix+6h$Zq;lXyFi3X8f}$SGK0srGaNCvOFH5
zWJ2}C!iR_`QU-LyvQTWL@n%UXldlDy($Zoh78)hqULk(`-Wh-tJQs{3W9!DGu{Qv~
zk_lOSg8SUvrdn#8!gDiU&?Nn3WV$O(qN0V%njjF)kJH%;BtL2`^0<4n{Np>MH+K9BW*^bnUF+Dm@W2`T+5Fv{#Roiu$elb
zq2r^v9q3f&k`Ktsiiax>OVCIml55I&L({9<*A1NO4lO(%rrp$jjg#+!>@2p(C=%sz
zI$)h$3S;Wl0v@iGBz*^|@TUDf1ywujvx)kXg9
za*2v14BKb0eO^K~FKz6@6h({j2EEL5PlnM1PjVjpofj
zgVr-PA5&YRsc_zhXCm*UQNbR9jqqvke@`DmcTyJJbI8?~D_>=0)(i-)G@^x5>8CO|
z9YgE)9~|u&;lSM#_T-7W>o`QjUK)fJoX7TSVQ&Otg_vM@Ora?*GVeEjFcE92J>rcX
zQf-ZNHN?ICbE%@K9lX+MDa>QR@&d5;iDTG0X8%t#AVk7KIzWG(LaZ0=OW-^&HVwKb
zrF!jY>wUP;Gk!vJ&6V5SmHc}|^01oG!sKjH%kc!@QcYMlRz9x{HZqCB(EIU1*%?37
zNbPy)n%9phLyuwEBi9eEi8%&*ejQ=BFVUsYm)(YQKmhg3{y(2U;wW4f@EDAHoEr;W
zFkn5Z6Ea@X*g)xO^j`2bu5vq4j!}_hGv+1MkzjRxsRJ!Lh7<0(P~gpotv1#
zdfaaaIS?uy|v|?g9kO4phWd~y00a>O$vpi3AL70)#YsF_J50ai=^qAf9I|F}N
z^jmvqJD4&YfBTpAQ|RHhZnQYmspA>CaK?gU#192(N$5LjsQcax(3E7hZRnC(%mN~M
z*fYR4#4gQz+ONkhP)9y)va1=MFC(HVmpsy>SRZ`nDXK;dYdbxl|MJ>~-R+IG2g&Hl
z(}p-}p+%8d1CQglGNet`g8}12=n3pa;|Q1!5ymzlMG~PNqrXe3@`xYs`HTrW}g|
z07Mi3Hzk!rlA%yCVzT2VI3*8K2tAs-`1WS@@+fQD?qyHZkE!=NB$E`OM=e(Xu%32&_D;ervn}TIhdo9okeB=gC{pE&=~cY;3cfb&Kp+%
zdcwP3xb5+tI;nPhMH;lK*y$@tUj6iY%Kc^Ukx1zIa}d#pf}PtiFBPbjGES9AA(TNkhDmjcoLqkuugw4Srn~I~#<4Gw}*?
zXg$>~GvzzT0orn`p;V(pamRz9!$};z)>9W-Jkm=CV!Y-9-PGLbZSy#hSRZuY$Js}`@5js{?jWs$EwHeY
zgAntp@P{f-`0wH7(a{tDn#w|MuD8EXaPH{eI%81+|5P!OF$@l8Ll3pPmqf8Sf|8jf{0dKiYENj}I-TyD;%`e;pG<$NpV({3Xt
z%2C}Q(m3UgrD5W+bwq@@4eN{C_LvHGR0QfW4av$vSUzI8t8H?L?>YYa*G9>`vrJU?JZg#)O-Tey-3TH~nVr
z`}}2q>RG5|9(kX^Uz!?!R}l860>B1hnHdvW7jo75Q
zZ%*v}Y-|aN>K8QbcIRYd&?xF;YS(&%wd4}Q?MnJ#u6i*CDFY7NSZB|pD0lX2B6OxtkDXQGK6WTb2zV_0BVQBG!8VKPgTD|BKN
zsWi|ekx9IQqG5o8g^gauLN6x}82jzf)ssN)8XhQPq3)E{$?eF%ki#ku5JE?HP1#Nd
z9_vpPm?x%;DQB$y?7dbAG_Ok>i^`$Ho;79PFdZa+4YIz!XvrZZl#?q)jO7V
zC$ArkF_4s6U_+|KYPem1H{OK}DyZ3Xe&3pSgr`WC-j0DsX{n9;DRk|Y;b;4(o~C-h
zTppQF_(=Cm^7+;83peV_ju=cAJ(KSiH)U^20iCy`+7P6KBt}WNW$qD83B)|*n{+Ow
zR=OQRJx*h7)GRW%0{9eWqFg7=+_0Fvb5Hh1eP6&eS)r^BOa1=L)0L!y@z&gSZ(2qg
z??K7Z`Rm1Cam9AECZxnF0(J+#a)vQq`tr9WKm)WY_K{Xjiymp=we^1Pv#n9TOv+LVViAWWbnLmf*B|JsU
z&jaJjn1K7`!?#Dgd>SqW^g39c9xgFR#5N=zmd1a`0IJ$QKDaP3ygHo}BA2673YcQl
z$I4PCe~p_}F_fp=Ya*|7Eb~(}x>>7m`TYCeT!G2)mOt*vUs|&7f29ZiH8e^xiupdD
zfu%eGV%{cI`f^{lI@WVPx$%t{_~fWkhg>;N2_;R=ZpC?A@`Wh26HeM^$K(~Pj;!6r
z<)`EjL&hiE5MAh#fcGJx`zKv&R898rT!F{094_10$HshjDQXV0TyNc)jCbBjsqvjh
zMg7z*Rq-P$o~BlanxrZJmZR|iMAPQnK}pW`QA|8@_^^!u6#4XRNO#xpu%Z;F$egRqSBrw
zOW}3ZMz}ALgheKO2;5o2cN4(fM>mn72@||dRdoc-*x6z&b+;-fM9CDv`chiUu+WjU
zqaP#F%$X8+3G6q^R0iXMP+!VPVkCK)AEJ`;-rAbdi-R>6$sP>ns~_vL(+rcdIqM>%
z)u>fb6}cPWbQteInCeI&Q%tUO)zQV|s}ZC(R65baoSf^3p^ejc+Zbu&i8TDFZ?=Ie
z_%h_P7q}PXbLo?i4f{%Yp7T2CniEo1PphKtB1J+jYxm6xgfZb17ne$=p1Gd-4CGbF
zr~ou;Oj4VN1Ni9!lN#|>d;aKAsfbpR@RLRPb6|r@|1_DpkIp$HxH@z!PTPd7*;}?p
zJUz;zoiA9PO&I7nmOeRDaFc0f@gD+Z<7dKcfL@U;2SlMG?#tx#T`GeX5SfT32YM-(o|?Ib>f
zN=8Xvpvfw1A#FTscwL@BL^c>m^CUX|jV3`d5mA3ddjC?3G=EU&@9NE>SNC35U-x=Y
zESv9u
z*z603KA*|>ch2J1?AGWY`s6KuRUu%lYKjnq?IYVXZg0SVMnH0jirjH?d*JpK#?;x?
z`s^|XY5aj}FOr_NR;PWTaTIMASE5c_vTO14N#EoubWPTtewk+IvK*Lp=wPUH2j&_N
z5t^X`zyXCjT~L$>HoFLA{TMvhbz@Oc`Aoh}*{PPl66$_eR`70gts`ZUxAgT8rjP7P
z42}#t4qWkXM{UPLNzJp*b)Xf5-g|7Pel+WkpW6uXYu&c8EkTfjl
z$+gpisgl!1
zQ6#_d^xD|uwVdea0~R;m7u@n19*hjQt)zWsyMugUWrq9WyzI6{M!dF-s!M3q^V=nq
z;FG>jI4OPoUs1=H??Voq&Text2(Mu-T)w;c%mR+W4~mRR!sV0|L+BPC-Bhyg$vV%k
zO#kiMha_G_?e0tTq)B3O!YQ;_R
zceqenvse+fs!$*@!q6pux)cx!Up~uy_o1&jb>Ypz&6hu1gRCO_A5?xG$iNgoywc=jZ_`tFN&CcK
zgz`g&+pl(Q?pwFmnU;PgdPY0#qr#_C6&3enR~~bJO*)_Xb&!MvpsprL7Qdb}-;?vw
zMUuboI`i+4?CEGp+HyX-dFeVbI?F!GFYCqF1E{>F)5`TZhg-8sbxW(6?+!MDBig@G
z+lEaM)pHMWCZj$@Qs_&=&D3|zjrz;wLn|Du(T>CK?D~b3%gIX6o^2}7u6LxI
zFDK3I{5o{R)UOo|(c>OI2mM@KQ?)X$xaoqbe8YuCos|uRDi!*(le{Ksj-fYL#}cwA
z*Iu;SfQD*36GXiNH_#r`A)_-Veo{A2tJ8rg-0kbP&W@B}N-A_4!CH7oZxg-6RHWu{
z;Z~MywTk^&%gk8^2bP=c4_9RlOn&x2*ZH5!MseE<38CbEkJ^
zOhMb&xi*HVvq;S;K{j;4Nw!jA=BPfQ#Lv4gg+T(y=@yAR&MeNd5k_z4szu>xVweCq
zl@sNdy=YkAQFZc>@Eo<;DEa~w=lD*5(AHd>z&$6V
z&OtWYnXnd1j@ANH4GWS6QuDIzUar;hohfuE6=hI`S`j%D5uQ7mx9#zH$olV5KP0EJ
z2;Hq=S=8xyehOz6nz~a1zR66tor2yv$@2n$-f8$@GkK3yeKhnQ$%lR(pC$3wtD|G<
z`^5{tbaJwDI{p%$Y|>p1t#E!cIt#91C{bz}!qj0i_-;6Ou?6PUezRnLM-Y3c#6`C9
zuGgyS$YfDoce{I4jy%eC$KRh0$+NiU9#-9z2!wgx4Sjf&2MTbxVLH<36bJj3>4P?_
zIq+JcXpOzG(PtUR#6#j^5@rWM9Z<9mj
zGAZdC{yp*Y-QiXw#1`{<#~R+~MQZiEO5fW}d9wR0ceytxO=LbFe5$ftN`2k!eDMf@
z>r}($fL)ExFN1FT@JDT{lR_OPL#ZVjPwe+!*?QITL84FHR4Yke-|$euE2<<%2t##%
zj24v~5IcRUEFcpqJ4&qlF?Y&@KB{3mD-*kCHQ=|$u5$QB1{?5T$6LF5cSieFd$?WS
z^`F7lKO*@`j6)T+B}&eQ=gwJ%X?~_@vXxdw#x-*$OM=fH{Q`g4#jA*_%1D&f*GH-?
z`79-mOCz57Y%uz`-5>cv0$T4*)UFekvE!ClP1dtxo*hppo;`9@o1b*=YJF60T@(}N9ow|T$!&4aL{Hm_0+2Lh(MCZ`%_I&zR!t<4=;LxY(SaY6%kYhSBQ<7Md
zbjY9qK9qHicJ~`k5%&D7VD{0Aj!#$Z<@Ae)5#FT+^6e-M07%=kYG<3Z2ldC5=>>u%
zx8D>tg0Bpf-(Q*t4|`;D%(I{GJKd|8wM5dLe{$uLMs@ECqben9EXfhT9ym2yA$+m4
z9YW^uIK`K~v(8locsV?LQ0n#N?sHB*@a~&6@09wf|8#bQw_K^cJ$Tu9twG5e
z&!t9j^n|um%2OG5_qqwK=8H@|3!Dx>G>h4$QO2fsIA5bf_R+F9A}PhHyh7fK$7`?N
zeXF>O2yP)-(Dz$H&zofbTlji1^y*)`tXy-+guR>R1uOl)3OTfCr_2u
zG9L(4UwAy9bTPAtD2LtRxkoY|Y&KrP;n|cCL3W%3sw4l*1Wz*dRZ$A>K^>=D8D-4m
z=#Wbf|HP#dB92<^Q$U`7R^?@HAT7g-h}wNQ!JNvdmfP|YPI+sg+DG^Ec}N
zTb2N4tG(Wx^5}_6F!Nkwm|Iu)tv7v?g)1Yfo4c9zOz%D)LaHLrVaf+b#WY1Fo>OM;
zf8mjO=nkie=^Z-mxg-{M@=~ovAUQ$jb^?k+`8i+c))CedS4%|n(zY+fEI}Dd@&4k8
z)@|3JlV8NgDsmd84(3$@@xi7I5_vvY9gRlL&cgM
z^|25GK-G5Hc{~2`Zu~(y`38}fV`ky72lRTsT2Tven)eOsaJ*Ob%kvdp)RlIbAWABo
zEU`}j3mbuGz{S9Lu0=nX0*AbS0wIku`QJTW_@|Bpr0T&5j^|?9voe{Oy|dK
zmyJ$!2UvR(&jnJlJy_z!c9zUy)|7+i8!9;XG^-IX+BenEg(KSzU=snvnye8KkRX8d
z;Gv#;SlvnZ^l6^@QeM^K_5+c`L&cKGJc!H)tMP-eT5H?S7Q}xyL~lMmdK;N(Xtto+
z6W0|5Hped*31bX4FqR1qM4E647K~y75*r0Zp}@gud6_x3J~Q<$nfG`>4dAs-8}d}<
z*wKIBp1f3RGLN2Y2|m1M`zgxTZn5J@8dzkcZLrU
zQT4%q5E^1Rxk&~-8ymq%+B~t=Nzxhw8<9_+W*Lbu)V71{@Q*y1ex?ErF%p92K#Xfr
zt(os=TNlq#2o7uJ3x!ASpH_PQ#vb%>da)YWonRxpw{EBLpNr~S0R%zN^
zIO*o{@W$Q`d+{$4b{vmFZDtzh#_o7B#QRA97x0Y(PbEqK#*{Cd;`GQwp1y3_jty8)
z+z$>@yORtzZ4{L^|0rb)>P^itH&ynbxILk%yYs-Lxzv1#nQ+8|GslkujjW{63k}Sv
zP0k_G*8)@>B_QI##zVdnC2rDh$8obHX|6d~x*forf|Ic)jyy;Uh=*l;)XgPxRS)=0
zp%!;X3Bo6Am$G^c`&Wl_rgq=uAPOpT;I}=1jLZFSZWX@FQv1yyLfspDZQsVZM!;9|
zeEx_{3fS{Xzm>sZez#X4CyL`akXo5Ec2<~n5CE*(VU021pHT+^?-6FDmgKdYqKY3c3bWhu>`4`)#52En;E#@ki<#$oKlPJy!ohrV;9*p(UxtGjOzh
zYAqh7Ef(WUfyFAamVKy(NqC9W-egBPjk%|fA*@;W#o#%JL1Ndbp-er?%uT6g#M;qX
zZgNBOW2My?`T+K|aT~B>NosQY#kV<@zfv3ivygWcr3~92YdUMBUChA=AvTsL?Rj7g
z{*$xVy(_Oy_Ox^EEJP=-k_KG
zSyri~9@7hJ;!^hM3PycYe32utYdB$Gxv8Ry_tdUHKWH?ofVaz|IcDXH=3uersSREr
zRcpA^`ox#_E2h|^Irr$3z8i%#%
z8M@npf4*M20#T1O45CClZU-6zR40%!ECauQ9iiVcgBn{DS`zY2xCa#M)UKQT(@8oq
zr{M^bI{IvM!f@#Jt8|}DPu2=pImOibGD!XiRh5>hS!*lgpAcEyZS-_i1YKtSI
zfNM{Ial)Sp)r1{-L$0{3!)CwYPrqp0%7!Vs2;wQ*wJ+|N{47!IXV-P>GWGR64YdQ3
zjtmqTNNj$HLwkZ`;0v4@ZxWlcsntG6t8A<~imy0Cwoo49L29-`3
za%w#ws_%E>Y6pg908Py+b!Pvn`xE0`2g({c>cZmN@+v99w=-X{G~)Odv3g4w6D4lhtsH;`Yir(+~z
zSV9R>3^t$iN0i{CY&$EgZ*jOSkkkjp3w+vha~JcE8TAI4J~q7kxXuxBe7nW;<2yeK
zOHAC04$jZeSNe5bbkC1uLv_F(l_L3@5SK9yW5`a
z`%N`jJh!{7IO4$XB8}mgAIBvQ`k2YUNj&f7{ZE0$d?#9NVM01S6wN79@xn_9$rs2b
z+oZD!>hQ!?M(ZQ8txNgF5@@p6_UjPD;zr)KO~&5is>jx0&D#Pw{c0x(^#0k?r5iTx
zWg{Q@W`RYT#FmIg_LX7Yo%u|orwmhZ{u{>Xs-ASJ`(O(|$kehPqz=Hta@Tq*4e?Oo
zo_=t^@Q8#OK$m#|5hf$^B@G+r>F_)BT_lrj*6l=TnJ!4heSyK<<@w_Vi8KPQiLFkZ
zx2ZB2?Ucah+pjcc*tNQV3<_^um`nCP;pf*-mIlBV@tnt`s}Zu(D&
z9YG9SGS5NsS}Xl-4IDTI0Lb&pY`s5EH2Vdj*1lPz2CpM+V9mWwhpaQJvX-X
z7}43XWtMI5)zu>8NL{Y+PjxRKx~I5?h6x~uFzpn|_C!+ttlt&FOKqn@rY7>>6hKHR
z_l%7_s+h|NIQ3oxDGZ!Xv>42!o~qEbd{lT2;4SHY(-~{_)N*+sMw7Lh4xaV*w2iTJ
zpxxz5YzH{ltK#j&kd{6L0FF%lGV*4k&vr(5Nx;M#!?rbuF|?p~&tG^FTE+>O%CK+`
z(!Rsvb|+eFzBPWF-M{;Q?laJ@X4+EEh?jc-1?^dd^4aK;u2aYlz|wK`Q4ZQ-SoF2v
zNT@Iv$=XW8vH5er6H5;j`&4$7>qO
z4iY8m{RDr3b5|eE7HitcdfYupa^BjrF)?`c*4Hl{HK}t7&x|jEfC^e(J}(><=$*Rn
z42x?F%=H8ORFTV9m~li~tx8r@NEtL!c*l%USB*jsiCJ!-PyFJSON
zlXu^qH+>Yhc4Ksl)l!e8u62Sn4s&#bvvATNO1?No2Ck;jvVEE6xXB+zhO1610&6J@
zi*ME~7c@fJSgG!Jzp-v{@=kvE5_@!l2Xx$=jaVz&vkuQ&bNc&NZg`~6OP(tx5quY4
z8E3k8yX+090X>WFA~lJ@^K`j6dT-;y4-AGeG{lGjmAEt(L~ZGF&)j(^sVatr3qvGv*kxcJPLd2}j;l38+l7o=naY)hDW
z*oCN&`KN&}d4A=hDs6S6@e(owm8V1DfY|6UK|?y_dOl8EL3=(=EUGmDh;XSzjhu}-T`;i
z?=1-Hzp(95V6Jd5LVli|b9HVfBg8h1PM;!wj|-&9nTZkkyIfx`#sll?Ygd5Sxpu!xm8?$0Zi2PY^xbo8tr)?6Fx42#hA#s$-04WwtZ|Lkx06gkoe{
z7UjE}A{<@9!lC6$H8gQ|R&|!8Y#x58hNjAr5*I)7cP#nszRR(M?HGL3~sX`1>^ECq`%bX+aIe4ZDv~Tzv@Mr~y
z2jIe$>!Q`PR`%uOv>P9DcNMc84wzm1OSv1pAvKSAiUGj^~p&71e8Xu!_D?
zxe7uON8j%8J@N~D;Umkm`aC|6hWGA~VK9`rK6^$(JtD3F6Lk&$uvz#2bEIstB?Ehi
zKCdKZfv?}hi@Zy5K{3ntSBZSw`_8DXG?NZG#0h_Y}32igXg8IoD=;sOA?o2qn
zm5m={A^QP^n&A{CPqT+DzrKRU?j)Fv-Ls~_bJ)ZU##3+Ivim@e(<>BOv^9}V=oA8-
zEJ^0$;|pNsYgpl+W}^gSez#n67MVebaKFAC8wk}O?jCmxo#liO_TR#hbwazDu(hk9Iuno
z<0v;?+a0!B%7%Q1m%dGu*5Xd%-E|ILa2#gfgQGhjrMtA9|aoRn0f*
zO@tz+!ZnoYE%>#U2;v=D5(s%$7y$jS+C^rSS>)24-9UvY?h};7yA?U0hmCfZ*@s?6
zsSp@DU2_p9bo~pkzXeYu7j))bxT=9y%tkgV91{(J&WxLNJf>z7E{8^VPZt~RY{m`u+3<(Kpzge`3HfP9
zY7fDZ;l$Gd>OqAvd3>*Kcry2$)-E?o>`zBVH@x{D7bNcuk}qY;`>XDxehjm#*o^6Tc8+j#j$=TadTCRqOkm|`-Jo%TJyhy6~;E@13h}j+^%TPf}JXz
zcEz-iLUJ9UqM-B8?iX=(PF(Q{`^_tvUSFyvhtw+18U%2S8XX;(;NJDtazbuKgAq_n>x=7g;<2Slze+IG#01gH
z9i|VMy$TU&mc%!pN!7de6HfIefDYu~m(75w1jl6%Lqb(KZjWlG1c0Xh;+e}be4U^U
zs82>+?LZxpz$9=O2UD%%96}?fTX4~Yw
z=I>?D7MGPXm-OfaMdQX)S_gOwRs>&Q*Co4P$3QKOuU@XL;_xQk0}l^Gq-hU1t0pST
zc+VRC&^zD_Rax!}eq|x!LhC!9iMuLWV)^CN$)
zrWQh1V_F6r;d-p^lpnk%UqmIw(6vD9nz=DS@C-ckWdR^`s&5DX%u~hNUW@U(MDx>N5$uuSpzvJMR
zMh>y&trLHPJi=+Z$8yY^xnVmJoAmk)HRbL)JRIVE-nrKdVT0IR;50$k+^@Hc5jl=Z
zhfInrN@RdP9LuA9$Zs|taqfC&owA)lZ@?V+B0ZPw*k;Q=$Mj+S1&qOnla%MKVFwzX
z+Vo94;@WFJ5pb<5rW|QQ8G|3s;nx79|Ig?|x`B6rBUv1x(DkVIj0SVz8=GC)QE?12
z2%cE#OxWjMyyNRJY<6N+VkJ!;9r*Ol_F&3*7_!I=vEY
zm;h?)%`OFfkTju7EDbS1&iFV&HEqu%1Au;{b~1mP)o4$CrDjPU3Jgwe&
z_xz#Vx9w8ot?o{|qt+aIt~I@S{*%xU+->+CEJvJpz#5Z{?cje_GCzbT(dhY7ELy@c
z7Tg%WV}GHC#uOhy&FP9fGS?41`UXWSW`;DQ$KPFVNKHwUM_+x-fl8#p{(abeE6cww
zpf~!3O=*(fy(1;g7wj%4ALAUE?=X10OK;b^P-*pm$5Y9#`@--}P9|}vH|`|}tLZq1
z3Cq-19zsPB@GMK9gY`l4H{jBZY#X+upw$_cb1Y0s;46WIU
zn;M#%RhrB%;gr
z0sJ=)*icn?b=tUhTqeiMxW7;z0Zw!09OutH~c^S}&}aB735MR$e%AJF8N^1?P{win%DYgrj5X^_+W0YBb{{>vq>2GAOY-649zkC`ojf3`rGHzjbe*rq=3^u_bb=O
zj*B$J6q-u2mWY)dayIV)AHurR^!ZL_#FJo&6UqbpSo5CF`4D_{)*gg0{PQ3m=t@Iozk
zZCcw|DcLjuU1F3W?`amAM$iW=<96vtMcfF#Wj7h9&)a%G?`Ed6*X~0tCO8#h?h7YW
zaCo-d@Xf{|`d}yBA;w@-3;5)^#NHbx%Cxm0L(Y0ig_RBzOQhsvoJ2f|5a=H)@3~rC
zE#?cDNN{FWE{9|VA6t@kH}DZPAoV~J?)!8bmb
z*bRF=l5W`va%M~i`1vm=FBmf?wr&9vq%Q{FSwX`EDND^rhmHsx%;1$-FC?EA||4(b|zUL#t+}6)(dPn(F;pX8DpH
zfZ&wmK{2_Rt+E%yqbxD2oy#epgJCnLXz
z!%ZFq1={RZfFb}#u?qs&;HoS)TBWwHp_x;=Xceswt7jdHs?3&xI10CKHr@#9QXjvJ
zRCrAL_{4lcg=a>$6nUAvK~XM3h_)bEdWe|wFD8t*%(telM-amL!K-kv#IEzcR&};Z
z<~LXFwo>%-dZPuw@4w%rCmU(y{-opiaaZ+AiBh>#buvIjFy6BX``09Z`;~R%cA1ic
z^WOF#W$%_{pU_tx?v~QarvEH!GvC~Ksx(Q-*a~{ReGN+0Gh9G&+OYtcPbXiy)wYn(
zVzep0?CO(DV+f|n~1nm||=ZqMvQn<{(G~cvf-G&PmuF9pX)ZAihhE=hGVq0yh
zk_Ge5mDpj$dvTZaN6siC;cxYskoRfgaMO-
zTc#iZmPqa-ub=e_!U7)v!^7}7?pkJkI{j?lBQ9}adZiJXB?adiZ5@s@Xmc>~UC6Uy
z$sRD~tKlq(NFV7j$nHW$u50%i6mu>P>4Qiyw5w|gU>~?_?zbS3)Ila9{087^7nmg-
z>^&ac))_&QR@V2v=U4b)kzwA-daD1p6AcKWm-zZOcS#u_{+>beg<-GvM1T?sxOPkBk1-PH&)tN5D$U
zteDhUl8lvKs>A477rTBQ^DfQw=x7k1>Ea;2KdLLfw>L^#1j_Ab`ykFzawMoXE&S??Wfc}N9NE
zlW!nNWt{`wuI_Lex2%>q_A#V}jYMw8DRKod{MbZ`$t0XwY5sjEVUnjI)-
z#~dx$wb?;y*b*BY@gOsu8>ma1W;^mgpit+PT-~WzGn$opMVz8GdM)x+xS%
z%23+Wsy)LpELq+IFZ=ELgpYtZocwUypr*7-S4b%!S9e2^$+ob}vibx3xgV9EMbc_@
zjD%O*iI5_Oup|2$doAXGML;VVy2_)L-+wQG?A2uHACjQJWsJgke8OpI0T`2r=G;5-
z8Zpk278A&Vg>h2O(mCaLL)te$pxD@`I1FEt2>UropDFXw9wGf2U&RHVB~Z#=ONbEt
zEVQc6o?lUXBt}x7Nkge$L7sy;@C9A3
z#>T6qk+CObjM1z5ZV-DHM@*myy(qLGi==dG74(~ApNBo`I7~QA#Cgl;RRZpllC^mQ
z3KW^EVr|BV@mq=!(Bz1T6dsxN`B}^iPRUpE@eM{}tI`d&4sj3(LMLPepU+e|^cvF&
zASQ)!$B8JJFzJ7JzUv0WA}FzA5Ovo$YKDr8G{8!*=c(-9098ybR4_)!m>uLVu#!5c
zm<1{fAFGkXB>Oe%56M!ze61rY>~M6+9+saa7SSWLV09^N0I*g^>DYOBFPiSAQCQhp
z8hTi;KF*;?E)Yw=uOjH^ssE&~nZL2@)HMT_?{nAmqX|%*6doPs#NGl&1A=nxQP!3-
z2V(O^^nK*o2o73UJf4m7hr9(Cyy{iaxz?hBuVbQfcZWKX#$eDbd=!M?EJkdON}YtGjDn~)W&(t
zMyBS!o}=^zH=;@w`OE8R5%Wh(`JLcg=SmH!$=7?}q=!h-%w{B)U@NwKbM&tct7}K~
zn_z)P;npz$B1}#r#}oC2D%mP{f^&tn3AZfe;Q#1jD#%$beut2G^vh4Ed6|}Lc3Z+Z9bWcovi1rbeEwU)8}aXkbf$r1B<3Y9QIplG
zk|=(dNhSmc)zBtx%L3D-Nd^uPRb^&AO_?3z^kJ6x@+w<@I)V5AtxidUo4{3W!dBgw
z`IASkuR($1^N-w&vg~T43`K-w!s%otmL&^>Ecp<^q~1{J(+H>&XiEA@lpXH5$c*RAnu*R@o3V;LP)Y0<<3HwM7gniQu=BG
zWhV8X6;LpR?$V-$y~9eE;-tR!QZB|3Dl-Tv=}Kx7vdy=ooYWncgm5#e(~M9Wul+|T
zl5#TF|33H8EKIso95AkbeZ!Pn1*F=V2;#r>$!#!F97IZEyK*X((xRDc6nd^rKgf(Y
zl{G&DxRxxWw(Z}Z(sxkpo6o6ADQ^kO2r$%t4pSj;{zKhAM8Zx{JyBt0Vc++^5K6_&
z%URCfhll-&D92;{cGHHyo6t$S0{)!r{)4a+^sV83rC>!YUE0jZxGG|I57mzpMp_qO
z!}?-Qai!k?N8eImJSJvXD80Z6c>qQ%FwsWG53T4NGZ$eDiIH*a2EvFJNHAe3HsOS-
z^hQ&@sAvBnS)z}{v41?%FFLXy1!x2uI(r`9@^Ly+@vBoPGSOcg#N)wExEvzBm8}$Y
zc)ydt`TpP$MF$_`K(@H`@bcUK@Z&$E=zZ&~5G048Bni}~8x!jEX1y&M%ZcWYxCDOPL
z8=XUItu
z4?`NYTuBl#PjC^*X+5p)derg6(KMZq=8Vsl@ZFOHW--Dr>W>8Ul}MnYy;z>0rKJ+$>T#$O28OO+;vqA&}x)Ib?5aVKK1K~204sM431
zWWnMKykFjCh53hW=9i80n?v-%hf1+*Oe2dJD+-B)20Z=;G!=ZU+Hb
zvCN#*v4wNb#3x;0ODC1|UqNVO6-^iZ!z143^jM2O`9)_wU^3;JI(uE~#3bPcbhKa*
zV?mWp3B7tMw8l`5m~+s}NbX&wv-SbqdbH@JR)crKg~W}YRod^*8k%KRe`m^(q!Q*(
zmhjhZyQE$+oAtYJ0By4KOZH)|*gdeiK#f*=7|rM{%8Z9r6HfUzh+j)ZfuoS33foYm
z6awHg5zOVly8!*-+zU7qEvThq6{=rcYK-}HVo2mPrI$6%N_r`j*vtdN?T9s7esVZs
zrwJejo|jk<^UY{-$ST~MIf+H_X3mndB`Vh^U%kp+vb#hu%PiYqA#M;z2e_J@U$i13
zq!OvDSJt<}|I7GIH>R#RRZ?MuFbTIgXrxej&<*!e2oDg?F4^05U6eG;B`}DXkc)dI
zbHt{a;`C@mi7w1y;dX#^U>(4|7igThfhl83@`R8#y8jiN7$|eNHSpU;?MHm!4)|m(
z#&9|REla^}9(IX|?Cf|UQGrOesf3g8#cYKbcJdK$hgef$!9=>S<)tzR$pY&7q22ZU
zO6zm)Bbg8ebItyh1f3l$oGUVckN@739)8aEcWp>O`Fn(!=hpIF@Q9*&
zC2NG>B@csL@(WnKxsQ4?8CYD379bq9PjVlLdR3Y-qquyMmpIl5p(Xp*8
zO_Mx(I4MMquG_mHpUkfLRWP29tee0vLP^g*Y+-?FW^{^VeZLiAz%t3i7D>o832^oO
zU`Nbf!s(ud)+f{I{|FLYh#DcaM~F20w-A3?ZKd`#hBR!xg*fM~Y;Cv{o=@Nl{>u_O
zS7?rAW3oor|~_L*ctLm)b(GDNtYJx_DwO+Ta>N-^Ou4<=+0(Y$
zcfu=Bi}4?Iwtik5xE6^nqlB6TKF5h(1{}v*8PCgwHKIMXN>9!bByzwjbM1gY(&Hat
z<^W3nuTedvf>ea6V2dL){!BWkDeh$Knwjg|O-)^$(L(=OiNQ
z%)fa2Xxb-Y%!?ho6@q*2`k4k|cMXGmM3Sy+5Pxtu#ljV;RJ
zOUJ~jG#>6FZ8PdKBA*NaF+c)sV#B%cQN~k~jQKL|E#@t^cHY1_L!h1S4Of&-H^cj%O5`o8-BS+>eshU9I4Sa2JNle)}J
zUFL(=^oS*CKIniXQ4v8-Z{IwY}UeNR9V8;{)4wuBCnjMt3nXcy
z03qYJViH|OvuC-;E$NiL01NTZQ0GTRT`6A>TE(SwHLbADr&wO5W@R5s{_+AMDR>U*qp`gv-$~_Y
z+f!XeP1aM1BABLIOjDm)_It)EyD5-Vlm=1&{YgBHZ3n$h
zm$>)N+x@l&TU2ia7Ps}>@zX`}ZoA^+L{j#cW8=R6t)qeajH^Lf{;ECWN{7dZ4>eoc
zT}IrXE8>(2+X*a^k0Bm<8!TV;mG4tL8sKgeq1Pi3lIrVk#(0J~W^PEgPtX8-13~Eu
z-c)wnqTdd$q@_X|2k!|eNZmy_I-$HzrL6W6mh%QQx4EQsWh%dLLSZ+C+Ix6cW_+bT
ziM*fQ4hUoM-Zk3!qzPkf{)oC=#Zbb$4zRmV;ZGTtJn&xK}IaGY+n0L}J@lmOG+roUDg@*qzVe0V(
zCf2g?op_4M_=>NPc*l;*iO_!?h;+i5Y%;ZtpjKH15uw@bF?8&anmPKV5iWIPA;TUj
z++3z#$VSNEoZhR`vha6zI}%fmWw|JJKzKtk4Ebh4T0HX_-zN|Z*ke=6;74GZ@*=cq
zSbxGG?~#9FnMFChsMzNQK+vma4hqHO#4qb=E`1b2kbV>T$w&{d|5mSfuDiSRgl&_ns+W`893`B^{S*
z#Y3$Uo^j^EUF~NTa6i&i25B-D`{AU(N^DSNL{d^z5ItDHw|gmFyi;^}VwMG#&Y45U
zN1dmedXqpyNL8#pcH+|Xe
zW4~B_OnTbEyOPD#q=L}m)-tX}Xr$6*Lfk`i@wiYlmY?#r(Pn4;(TAL|PiBan&`gMo
zErGL@OGNu_T8iN7{K7+;J(h#;K0;K}gFPNJ=g4#KLL`veuDedgB9gi=%C%MLtpUU|
zp6F?DBh2FR4dTiE0pI&`mSl41r9DFWtDY(TeedsgS)OI^Vz8hac-Rss%NZ-mVza;Cbx^JTbySfnBXx7|#5#{)Xi^aLZ%RQ7k
zM!?ogn4Xb1=4oAf!{ySo1DbucDChVc-X!VCFVXa0#Sel$}cq_%n!|H(og>^$=J;-
z@kJ(W`P=B!CJcUZj`R#Mx*EOqgWKq_9GE>d$=W4N*n8|Z=Y87ymlDj)+kKNJ|6qy$V{cuJc;Ze~3
zFRiCtD?rt=oyoKg9{m&-VJ~kcG*d=qJ!3SY-IsHiYC;e_`*rh%#C(#BCmqM+rnba8
z?7ZA|-4j6RL2>YQgm}O(CITF7CY^Lv=3IqyhV76U-+A}goA`qGoDrJ4%wz%QGv22`
zo6GKz9Ml&^C=&1)(@naoZ4xCivy)@Gw>6rclX&qX6c_bwC~1x-;UHOwW8q>qhi#~c
znTq5D6F|(w5d>1B_d<<2a8MjglTYpt)YKCie8m5rt7n5jG0ca_8tMx+n?LK8Zc)^C
zEr?}mC=$6)mIKLiVzMQS-3snHTf=$%XzZ-c2tWc${H43BeMSUwhUiP2Lq#jFc17@vy6UE(}Y>uFb(N9KcW%u&@qP0)lpGz@;ce+M!GPMgoG$
zSe=9RCo^6hGMWajSL86xcr$-xL{=MtO@+GZSJc0kjiBlBErH!QI1KScKkHqhYDnM2SD%(MDE~mlo;NX5BoGsGt
zOy_^BJ}~&Gpel_{lSbzPTs99%y8_2}dnek{r99%2DaSFuR2XM2K@+M3?%x8hW24)>
zna6V&Z{bpvu#D%oFkoa7*BekX5qlgJ$=h*uA}y^_IwQ0_g4;*pucJ{k4Yv3;T|QC}
zDZ(&z%D;JafRLkSt~lVnHESe97s5jIW3IdgUx+YD^R^r^yhF*F#B-sfjhG?qg;J7c
z)u4c}C_rPVEd=lKxZ*KL)fdd|0Q2($MC%4~*u0ZJ!7`T-pud#LHm3!nPc-h;vaQVe
z9&}U0M{K4SToXwQ^A>ZxCCY6Kc4Fb72Z}C)h$%GZYmEQ^%V>h-nb(r}d)D$I6(oWT
zfiVn(d4`Bt>Q8vC$W^XHwDc@Jg98>mMml#Xnkfl@pPA(u9Y+H(>;z&KvogOec;18x
z{t;J8%5}dcooj57&wUsZvwTY1wmyr4o|4K=O-YWVQ^PlVToB5SWN+$gRWft}^PZ(I
z#^IMlb1LTOtmZg0A?MnM1576iFIu4R#rbPKSnQRvYV9TyjJJxHIV7X7_YR1a_Nh{!^|7Wl64#%>Xkddp(hQe0c=EJ=3R6;MM>9-Ch~2vt5|?D1m+SF>@>*vNffuw1H)q(RMcRXF$_L!=VvF&
z$5bv|V9-~23YW<|3BNX_~9$hDajSuS#^7K_P?RP={#3N7L9VGRpx~
zry`E1KE}wJGtN-HN}sW+8jfz$+rj*Hvk`6?o*r@1hC{VWX7CttW&%QEGq}7S)UyxQ>A$V>7a{sgp&mv?w23vb+J7#>%u-sWu?hdBI{iyieF$x|gvRBggo=#s`i*+>yZjll
zRj9g=KN6brRrB=}co_@ll5SeCM7IT2^E_%9oO2xEYNa7*ZyHfQ?}O7*;Ab@Uqh+&z
zPaV{!);P`a>ncAb=I({LCR@>(7kBRR+QV}0fX*AO?2(PU{9OMU+rUG?^Q$!yiLO6Z
z+x!pflXE-l79xg2#GgDs&G6n+D#h;bp|w+*0I*$<3XQh}sg@nnF&+M!_tJCQ(7Npp
zM4IkpT>AI!u8>Fr!XB#sr;Tseb4I;0`NGM)L0Pk<2mF&rF8U0gS4ggMoet+v6yF})rg>LD5s`CD5N(ywBw>j?2&RCu+{3_
z#1$fu1wG`6(!Dod<8$cVi=MkzxmPPP+(uz~z|4a&M8R4*i+(C!3bbq#?gM4`I{<8#
z*x~)km)-n*y&;u`%qZ>8zdD5~Yp!IV?Ds+3{{1kkzO;^xGXeVbe}wZx#bzw-^D5H{
zryd}v{jcY0#IE)G<@Z;Y2tQ}S3^eiE5n=c2Ya@|^0@V8)kp7pU(x%t=Gnkrln|kL$
z`H6-%Lr`8H|Dg6?J}lcGwA^xB4?W@f;c@9#DVKktqi!kcF8@%|wxhOXgGcG$T^XX1
z+yIhV!|d6;`e(>$tAR5N^(CZ@r8Lmv4|un4Xi{QCcv|=#Kl*^bTj!d%xh~gLrrV`*
zUR1t5#VlzoGkS!diQ18QNI^CGzhk={zfoN-V4--*Q4vpV^XrmX)
z*arq#qI()2ASND)qU1f}0|lB<=bDE@)>@>kW1X@dHICKUS))+`Xusoezs*M%9`)(G
zd>nmj7!%g-BQl18JbvcZzz{k{&ayPP)+=h?S*nYU5~y)p8_D+6W|kWjuEFGhSnrFn6rBJ=evism%z~tV`i7bJZ{8eyis!^-C74Rb@=wOP1A#-i@{;NfhnZqLYro;Od1U(4Osk>i@mnsd1Ka5OYQ
z`Y*^>>JyUcxT`n%GGsnD6}!eapy6Aq_C-mrC2~-Nc!PO?;SbNG{9WbS^Ztu9$#0)7
zX?FdbM(tPznpw_qY@W3KLd~)Z!l^_Fy2ewt*znj=9A0%(|$gK-DToN7-*0_S3*deL*vkYtMgYZ
zmu@vqeG7faVgs_UEYIw>V6A#T^rK);mNC$WH{Bn3AJ!y0uiPpbW2R0Ruyp@aZcc3B
za`@P?aP2uVa>-F{wMI}~yXzSdSr1!VHP@V{{cRpJ}4c*WeUwbsJ&o!kV&$NE`
z$%ElH)@x5&2IQ?*XIYFgAIyguE@YUlZwjImy`KGP@7p6wm^ryJo@uc|UEZR47r#~}gLaTX6H5wuJT+X2rt>>`+-ddnHIYgfO8ouMtvgEyvg8jY6pXeAq2y*^=XT3Fa
z!T!CELA*ftgq_e19`S<1g`^?mB
zAL^SPnPa
zYxwg1sSi$YuJfPEt0j+5T)(6MD-YjKq
z;75gjt!3V)tt>F4KSeN^t
z{&va0?D%#-W8mD=lY^ja)Net|;q`AScfS!oz2te_Q1*1tv4Y?9ZyokO$Df1mG)}(T
z<$WCNJNTqnjZ${yJO3{Bf}2>;>n`IWW77eAYKU+>rR*8VJK8}2Ia
z9=tff^ZJ4RvnEa0R{zw)hR>aSuL9if-m@Sq2aFwlP55dveLAyrpF7zOJG0L9`XQa-
zdui4ciGh17=Z|kP|M~Nj|4GD$4Ys5G!ENIQzlTcOdK(w#Z;E$B%&u2}Ij@&*-1Ui6
zLi?XzFMj=cGT@myGiZ@}0$^NcHw=>zoQnR-vzx{g6cd+>=-ifR7O#5v_VV1D(=|@~
z5qvjN+#*TLs?|UE(4s)rj>Di*+ffoIQIFh9=4tZ2=lXD?^IMV0J6x4Tfnvbw;;tiA
zx>7~&DnVkt0oopz0Kb=ERHVr}m}PDQjnQOAr
zxuL)-s~mmU_cKLy+lt?=5~K@;U@)T=9?dTS)5TVwmMia14CVc&{ze_S@WsKQ9bY4{
z+^cAFzo68m`pD@=(Axc&r0N~bZ{e*ekXXUB1FYF|s2g{(=anyOuWY~5)ty_9vn=RA
zWQ2!YiVQEec2-i-I+0)(5OTlkcry6v@1G%OHgfsXMcw$CNx%CH8);8yILd^j*3NpiPOGl9>dsB!dtBjv~CM`CbpfD8;}Wc$Y3cL-h(Pp^U%tom4BnylL`Qe^MU
zTMoI%!`XC=WV3L|anpN~8NF|!Y&4#Q9dx|ub+W+&;YUyscRhtXU6U2JWnLv4*J@+L
zlps5G+6h~*BAY~}V5I9^MJ+OAa}k6pcYz=)W8Lo@VkVz;kct`!$VQspC%*iKsoCRi
z&KjZ6FW3_UM{yWw@u)94yEnw}Jf>UN>yn7rMJYv#fKmxSb9mU7qr
zJK=t%Z{X)f9|;&~*#WtDs$C7{4AT=O(D0_rl>!B)87KisM^f7H9{!2d<8Vo_D^&#WM23oZIeQ{_}Cjcdh01v+%}ip>KSTnIlq%
zyePgWVj)#WwOn@e{9e86XVQC;_|o^
zTgk^{hAnN!s$BY^u#{%p{OeIBkCjV}wsd?~UL`tSYJQ%#^{3KfQqBa~7Vux(Ze;ApueU4l%!D$oy*KZbT
zyX$aZDroR0GqYyo9rYw}pWDW9qShKO=kvDK3mRDgzZg4uDec~{n34Fk^!mLo(QwvrcgTtn-UQ+Sz#f)_rx=rFi$K>arrc8){Pq%)-$a~S&vM1
zJ`OPm`DHwVzpYDE7;_(unxidA^~hNIpMn1pwP~h7$1lxb$^FchYw$ATDym}HikCw&
zQB`b_$>qAJi18NQxV}U
z3B{Hr39Vw$Hu??_pXH}QC4h^5yNYQ!rN>MZXeFZ(yej)javrsQvDT1-@K8sf8dRnv
z3i}dBnU5}M4x0GsDY)jSs6FCetjBy24<4-~n=qU`jqp~xtM}GGfDq@Y5k*Q)unzTx
zfVM2a)0RUokEyuOHNonVL6bLo)Dj*%Ey-|=m$7mI7rlN8NFwH36A-W9+LALlmgRiZ
zA+F=}_MFh`R5s@<;A%0iM`rwxTX>83y-NxtLs5^MdY2y}w{9atbopIRjNI;3_Cf?H
zE`6vBw7AegeVXAHZO96F@9yM9#0Lj;XE(umS<`Vi*D{UnU6e`DNuWpNeTlnSBDeZp70g;N%xoG((>a#@tUar?lcHo5#LxN9!Q7@>!AX}%Wl3~J
zQ^i>8^;y+UFUoe;L-a4DWX&jsR@Yb$&7ns1B_9e#JWmO#h)9pQvx!iWXl8U%wxDYk
zVV8qn7g}4alPzKj2a}mhMWy+Szix5-`Pt)RdT7j6aQ@;728sN%$m{Hh6=%FJ5q+DL
znrK}hcD~pK&M?FWY|ts(8}pRLEZ(fi;{H|d-x^ZAo9>)mV|)KZy_d6n&x=gxz*H*~
zYjzkqJ@v#l)L*?K$8}Ju{?<*y=V%ZifxjK$w0%Zye0(7wvUI(fTZ&Efzc@JxI*wU1
zMNnh@@RwD7VzfoRboUja3*o$zeh8{|WpQ?9p3~;>o@D^vlE$%eb&H>*x3fy*$Cn;x
zzy8qX8_DO44!)ZT-Tx49=4~KD;&$i9vmdjyTvsd1G)m(H1CN(=B719D2RfO6hnHXK
zhrOGBWD@;Bvd%(w>-x9m=Ly_K(ZPn-(>HtHehk6Yq1S$1NAfFNta&JX*;u;c=Ur7%
zX*-s(4F@AlzyJDb7jmiTrRyJ@iQo1F)w8nL-|vsVS+8_gtlm6%zA4`yVEN@{*Oj*j
z(dAW34|ikEKkqDpE+132+KWfm6!nGInf+peY<2~rI`VT=@AZ7mg01V|ZuQQ-H~L1O
zvUcrTD|*W4-)D9E0gPl%TwvQjIjtuC=~JbIDIpcb}fw{f8Q|s+Ns=QqC$DfSqS4+uze}aq0M}M*Vh8bRt)06Qb~Nc=Ww2
z9lL9rx04ZhSFnVlVgIPN<%^oKLGbPWgg@%D@%&2scTiP_>bI*BTy>?o-wnj?WE}if
zF_o|xi92^`)A{>Lrt3Fw9SPqWQ*Q6Z^OuZkdZ+!CH$USS^(Dpq++}@a=7gmvQ=vSiRLC{-g@dSPNP0N
zVN$ty&wwAo^{MENq}xDH+yEw)F8s~?Jtp1aOdQ&2sJ|W;vhtvFG+!1^)-RRnMfIVr
zTVHS7I80LB*hgIxGlq`Eci-^iZ^L&_s(g)0vLXjP{T}ik4ujB;z-pe2of?GQzOWkqJ3!nCw#Kjkx%vFey$jjl0N6rvtx{7Dqh%re$4GuCM~*6lae
zW3E)0Ha7TReCBxcXDk!|O>pui0`AEs0Lc_@YaHj+q4|oAr;)M>3Kz
zjFGO4R%0dv>#|GBW1+naQD8E`+O*dqIU4m^MS8=TFmQyH`IY|cy@qmnEz(}1Ofm+DA2Y9CZMyQoe7#K?pjGT$1q3i~
z9ug$Ugr19l=b_NSyn+2g^YlgLOf(+q4KdS#n*$`LUV3w4vTjZ?Cx+Blg3rs!qL(Jc
z$pg$-if(U`LGLLUHK{0m(!d+?JG~|EWX+-nNW|8Y=-bHVIC_9&QRJWOuQhFbY2_xkC%@Q)*qiroU!1smpG6tZOyl#Y~`{ej+Gnvsl8IlG(|
zwal1PZE;J~dL}Gg9mn8xdLN|ZQ=ybY+hoUB+J8K0QPOD!t~OcFCl6MwSHhZ;CII2t
z6p12;*KEpJ?36BUYNFcuo{1HCc5+3}HVyj}20$3JNW8A}N~%*uP@u*d7It7+95mqdVY;vwWB2rtZ>nV1+cW(OC9oaW0=(&jvZ^QlF1
z5tksmFGvL#>)Ir$vn&{{
zFBqJtFMi5*Amf~LO&xfH9E}p3@Hgyqx*U1O9pxn;Q>%;I9~UhP?3HJn92A^!&Wonw
zP733#&JqMi7AIc3GkRmet>(FlvlAg^!D!w2SGAKziZg$Xv(IfC3mD*AFmGz(Y;Lpk
z#&gNNz`-izxp%?Rr!Z%$u6e^7&KEyE4f$*4^moaR<;6_((zyiZXj7L<1vBRcmM$l}
zSP^(};r7|M_304UV|8_xD>G-iJ71iinU97oH#)sAfjR!CzMNEJAL#W$cHG%3V43vR
z;u*Vejvo^4mXp?2ffki_F$NZY9gpaP?`YX3$9!Czi
z>YoTcFZpO*;JlDKz8tphmcDkjOk(*z&eiY_ZWjby6>8k7pFb*9ID1onwQk^1!0j{S
z1Gk9VtBnQtsVJ9XP6$}E+*&Z96tGHDczFf-vLa^Trt`}#{rT$`ojOuHt}MET#klvy
zJi-MywXVPHlX#Ih?mnb%t_3sa4_G0*U5J$T3}0MzN^lg5aeW+P_Vo=jrYKS4HiUN;
za?-TsWHKJ&3AOrWIvexY9PdTOtXt}>Uq2o*cZII#o4xq>$W9)<+Ts-+c6!NV{o^AI
z_$#fTBz4z$=^%QISbBhv^jhH&S}PGvd4(p-TLh7qK?nd&zms^>ApeYUh_tk2PT^X6
z<+}ZtjJGHdKmXn9d>Yd3hfOQ#f2oqg>44K!0R%39Z=($-Y5Xr$vg-e-vQS01qw!rPM|Px4|Dx@48Hc9D|4}6i?&l2Kr&$*mtRuWr
zksU;fxE7@9n}z&Pg+0%Vo?VwlQhRtAe^1+~Dp|cG#{O0%6Zd6=j!oE6?L_}obqDAB
zj>HSCDlJhTtnPR2E~Ikjxg7OI5A!O%s$%Wq6Tgrcs~RDG@v5A02~GP)xlMoXVS$v$
zzU1=i#`YT%_7IkHS9?!a!~Z$HW*O-F`I)~|?!?m;WIj4oB{!XaHkk0UYkU3fHvjp-
zzkiOt-n{!v<<6y=`5O`?*P&eXuP-y8$2bxY8ao?FAi66l&H&gLP2tLLGC`rXdPb84
zQ>Cj2{E{LBlm$nmPYNt@VlzYW;)F!`m&)ph6b
z&$Z_262HVRn=YOyr>OllPjsqCJlp271xF#5h#N!|Xx*+bpr#qdPcbI@#T7uP!QHEUMqlmC7=+
z;(yb?L3Xd6yCrW-^GEY(dm{gSFX0A&Jz15gphsEkwe;$IGt)Vmj$)|v^}^R0x5fS1
zN|9MD+3$Fgd%$9V^Ymjgc+tk!)I99sDu0hhDC1%qbZ+WHZ4g^%R(4yyQ`3O^tFPrd}
zYFUZ^u#=a~_Kw4!4fw*7&vZGr(U!IrTT=TImjEAwy)@h}Kd0-l-8X$nisa=0rMnYBTpd#ZbI{ld>zqikw8tU|o_h|mgVNOy>ul1RE^L5;&h
zA*ascuuQ+bO6O9B4#UN75EcMK$9-%L8YWPJAd5HkqkJIz`GD|B>|;$1%*~4viY7dI
zlxEo=b^JvZeUl8@^hv!-*UI)?h&9iqq3w|fK*Of|L_OwDrNXZ>i*X-mF#uc;DKqDb
zWCm1KPW@7OGs}mxGvevrq`wrhRbeg?`0*!YJ7bbY?YJLcvfhCqE3%dzcsVgtk?U=U
zWSzt4eelVQf}2RBNL)c%P*y13IqY0e_~qs|f^Yq@HLEw6xwH%|%TJx~VPdvZI^xgq
zE26A?GZ;mcHjfa`|7gJC=w`m1smR;my()eWpEE3@)PO4V^=HqSA)zX>6}%5IX#Rijucs7<`H?nf^x|=v9}-Ls@O}n
zNlpHW8N^O7w_40XZ6;`p0o6JQ$%a>DLzBF>C*;zr9CEFb_<&`oEI?#E2Y5rz1i>YL
zY@}Z}Ej-b*WC8bs`?)%tq0A!hjjQsT)6gd6dM4853TVeF=JaZb&14)A*^$C*#8w0h
zVOWjel6v1;d@A?MK+87w8dMW%J;XGNc8W_KhNm-S@P4<c5b6-QLYTvEQt!`$4&=FF1sl3?;qHKI$mb+*w#UQGcPny4iw
z4%N5WEp~2N?-O2Gir-Ncv*=+G$Y@8&b0Jg_yV_D3FB&T;bK67A>Q1zASk&UTcx~+_K*@-`9%1
z$ka53th!MA!6$?D6z0%NL0O-k=&q9J_vbx=J;Ll%+`fiNG|8FAXDsy3WuAx(@Zif}
zbQ#1CH|(VqqJqD8z7%DZxE&Js9y%i@z88Z|u6F(2Ztd#CWP;V`lr
z5GtdJ4flC*n@E1Y;-h#lWX;VFsK!7=K3sf};}97QQ%RAT-efcD587PL@>Pjl}Ls>A8~+eKy}p&na|aYKxI~I)4zBb>!nSl$Om76Z+e{;CTUjd
zNnezA4EGbfN>P%ZViKK1ko1w{CF)Qz$IloHWcxJy2*MWXpDv0gD`h&LKpcQ9fXm5z(jvYq@yOF
zC4Dp)?6@h{4W+n>#}Wm5(ZXRiECFhWyzb55bP(lyA{>U_lbLmk2*f<+G1Jyu#CFWEFbEdHfS<
zf?>FXMdoiHIx%3t5bR}Miuq&Mu_o$WowdW^RYB?{ai8>}BULF1K9j;{_dl5%L_QHo
zBQo6r>6?N?F5tirMwH3OHK8ArgKd-%E`+=NDu4s}mT%xTW6tJ4YvBHMv&hbzEM-@F
zN+3^qRGOx!7HnAcK0N+aQRaAH*oWc&o=t!*ISK7Mf}|hxr~JegBJxozvJ>O+_??&Q
z0rcw8O(q{0T82tbO#pCI@M;p2N|mF!|6E4JMQdS+aCvMl9fTeW7|GM=uj%t2g);4kRK>C;y-UZOGDv_XIa2Iz2x13+MHAVm^N(b{=!mwb#m
zq@$%BC#1+isMBO#$rm^fbn3PoQe`1RkDW^XL!iHE^7kVITj4+|4rWK76Q$8xVM7N_
z0^~^CMz60#J-gx|P~}n43+i4`zfhlV=1@vE$0(mumT;iCyklh}aT{!}Si2K%e>xu4
z{P+8oQ0oLDB`3uiSMj>~rZMhRz6{~t0Diwkz53!)+JO4$hdP1-p56>{n46Qu;H_R0
zseBN&QNhE9e&NF76llF`QuN-wTu2f|Yy(}3?wpzv=^_Ck%vC{@33p(if?=vm)kO{w
z>(Un?LBO@*=&FMJD*37G%BAr2nv_>D&M$%mo)z6@@_~2L5GidC7=g~y+-@HhLzm&-
zey5tvUSj;RNVJqW4xl;fpktAmXZMos2NZf)3g`?aKsOoHd0cxMNG9G8p%bESu1591
zvPV>uChGz*!aeM&C8ms=h_)9~b4Tx91s|HBa0fw99|ps#P(37IHU#zZhFRcZqby9^
z;_T!i&sd%QjW1~+$^3WC5>t_Zzr%S4bt>K_#3WxJdLscht)~0VQT?*EKawmvw;Red
z8o_q`wg+I<0d!6hL?P|XdMoFC%PiL$o>fIBhVXej_tNWZWlKaFc7X!--T_Y#$$PcQ|P*7j9BeXRqK3#8;R$
zpXkJ)MB3y%+UTyK&Tpiop~}>ngxEK%K5%xh3`=q5#`AUfO7X~42k?mV$Lv1u7}dGK
zJ?zbt2=maOS-s0%q1*k(ps9W+3?{Rww3xfH{+UoQWsC*oI!
zz;LgF4@@U898Ch4+aN#8pxckVQh#JFK_9erHdT5^-+AeC^|9f>cJtg0s9LZkm?Ws0cf)T8F81&uT|H{gt&~>%8ST5yzFy1`Ca$0wy*DU8_(}ve-m)>4`Ii-
z^TO4Ev|)t0c_l0oU?c`(;T$wrFt0}2Hotm5(;$)B9kt&@@7NG8xNP1k(Lwffc=MVcVe?6?!z4s~CS!K6b@Nz%oNk=tjD*8u+X?ruHA(Vk}
z00t>tn}E5Q;Z2Hzpz%$5azo-#{zF_rZ@IhW5245paSTOc^V>rbJ^;|>eHIu#4gwj0
z(&v2;O)UMXPS%-l_guip$_|#7Y0Um`RKz}&Ph8)38vIl`iZ2^OJ@GO3K;vXUD1q)g
z1|PZG16H
zEHn3sDLv+L^}dTJ-9bUWib&}Jm$G>JrS&(t#u#p;1t2%roz?CFk2%2Vb4
zOd9HmU6ZI>Z>qoPQ!^*cV?(E
z639Uu^JEfpZnIpaN=s3bPpqk@_=E%XtFcz|qE=6P<>&U5W3uNTv1axFFS|ttN~O8)
zc^`wR+6+)?M&D4gy*INOGqj+I$}oJ^wHIoIn?Mau?){eD-x6-*56?A1*i^4^nwGjf^aa$lYSVcd<{&Lm{+=$P^;JJE7&!f
z@nAXmQIJBKi9VXo>m0c0AW--meF$AKClXkI9vpL@H==kJaf86<GN
z+rz8dC^okfy#IpR1uF`o(QgoIuuYlF_?2kRIUg~Ni7;!6vKj?z%L8ka3t^&lnz2z~
zxsNsvY9#}ce1!EYSd`yqx+n8s5{o`=pga7MWGn>|K
zL!YK+RT~FsGcTOIXAKE-Y^0cI64av2ReLIBK^|leo^r(!l>g8vHo)Uii+wi6*Ru8e7n9
zzEUrTITK-CL-aO;=!iDgdL5SWHvNycmqC$vebB4z=W@Sw+k(woE*tgHsI}XB(E{9W
zznsj^g%3QGr@}r7zVkbvcfe7Ap{cElpu+(yoHIPuo3RYz|5_gPjrTNb`wBRC=375B
z>App3Doko!Q&_bW%3j;86aMehd-D%#ZW{*fn1t5Hpc`#>eSm}~FrKR7w-TVq_|bY+
z6ai0(qQNsT;HP_F4=dS0eeT|?%?K8g$TFW7w&F4Ri8s)Kd06@JbHt%B@}7}zSzA^
zwWf_Yw?PS*Stsuz;NXq@L6l~XM)-5EniWU{07{Mv#CfZ^^`ZXRvqSo?1x~Vd*6rWo
zBHwm|*vhS~@hhjmd}h_IzhReo#lu=fZx1g67{Peh&D)-$7eRZ%@F~*>IG~eLLNVTL
z-7qct5JRN1`-*8_F+@Fvly_N7e0>xOauqw)DZc7!7-N6-o>2r@N@UmxU{deNLC$44
zo&ndgzPB=S{ViO;G5$EM#rrC8XjS|-nlX#|H0X8!O^)A2@Hjafd<@hEE#!Yfsdvt_
zeFg}h80K(qEiB7EzkK55zEyTbF4sQwuG#wa2Y?;wU~Po);}N3lQ$txmR|8bwJZMS!
zBz65a{o!*uALi9jsPX}#gakDwF_MVw%$u)tNS|)-|4GSIVAQ#pc=GQzcgo*q$OGX7
z@DqRcSk{lF)<5Tozr^j{XsmQqWyL6y1JuxA?>@cW6dZhCIn(vVGi)SyrXW2nlwegOgQl
zwcjT{YvkO`l5Un47k%0;n+4usOsi$z8P+c96+K~+qlg7D3%zRtN2MVYhCIn{KoUYG
z|KJcK`vBisk4ka4IY(U$W!Kj`8_?yP_95x8vGTI&bDFzX0=&5`tBs6M_^?r#k|-+v
z?SW+X@m6L!?VE(9@4*3mwgin}lp!p%w^cDGJ-6RCCBYisOGZu?xNaxqUTb+mKX{;LgvtL^5kz`{U!8G7Y
zyMTgw(5tjCJ%kt4ymiJP)tc+4iNF<(TQ5C!o6pj&$*|X-Yagp3)Aoce`Q<1-&@x7<
zFitID0%5MMdsrD*?WV;N?>pz>V|e6K@9a?;h;G^jEcVi5jrodzckad!MEs
z{987ITzd`MY6ysIAqk0Fojc^(Fe{qTSp5i6o?$gWx@1+5QY+}Cn9)TXm(-1#WcdpD
z((q`VuPVFGw5+LE`GIRtB4zeILDQDaA1S*gw1bq6#jYx(La@GYplSnxNFwpMi@kB-
z>w1U!PbqIMR?6JqS5{%}^C)um`ydsw_CnRnd-|5F8~YodidmCdKHDRf5G5QW6$6Mj
z3Y#WAA@#~a_LE0^9-0{T_VeS4s(h)8o7Y5>9z-wzf6q
zMyR)pGLDuRL8d{MPhOH3-P4E8h7YqR14F#iHHP57n;5Z66s8MKBfj0y8vIPf*N18f
zI%O`Dgf{W&51Wr>z-@xOdg)Lm8_5?x87gjwCyScorua)_pQih*zs=U?gj{Yb5z#@t
z^BuFja+yPkpFU70Jr7SEBAl~AQ>TxLOM=5q&N~C6aCaP|?x#f7OUq>3U<2Xiw6&dF
zO#Rlh1&WnSj9$ER!SwRBmc^_0ra~zp-m?}|Wdq6UG7X%Z0bdr1E*6w2k_jrTlYjve03#98ZySuG}9
zBdt293*q^F@a{kfRFqJ|v70r}MGAc=!S%rcDlaZwWV7o{6UTe;uB+?XJF45xE
z(zczI7<0i(mWQISlU*2nj_usK>f#7^b-qs0y2fw$f|5&fZ#2%(A0-x8wMx`<6rBD?
z7}y`?Va%fnP2XfRX4DS4j4{s{p%49f;h#$QV)Y=rEp0k9MC?)06I+?<45#o!6@D?k
z=5NgpB+&2lTUXy}+&sr57WTqm)ns=!)51~oVpcxCNUzzILHpa4O5;It`a&6zMxLmX
z0(JJ>D@#{K8Uzh*;u3QL?nOk4gzqNqvx)CH#XkBj#T)dR?Gy-V`p{=CA{)>Xv%=*~
zw(~`}u*WY7BPt&a2;_#IEo*EZ{<&R+g(c=3i%w3tbob9korr5?t=)J(m7<;du*mwI
zWZVq#~_n9@H^
zR2J;>6_y;BtZ`3f>&?Hmb%A?`_95qMHKvU=uBc+DLjh_KHo(X@^Wzw5FXBCydhKn@
z)sDe8e>16OmOBgh?!)W05#&0)c+;nOj__^tQ&MI#lM&pA;*C$_8Qm5e=}ia^=p{fgt8k?lodKeFDd_HpKqBYhaq;F$?Ro*+KJRgKO#-y3>8
zimMA9*)m4OYOC;7jgX0bLUX0^9B}Lo-BM+W;{=%Kt)(pfKdRtJv>HH6!I181Svny&y)@55`AjK@uZSaWd$KfYAhbBA&Dc>u_p)}QbMvi<36leznh~si
z4?S=!rqe#brF_5*44FPeJW3)Z5kND%HupHOn&@F*FjrLOSjjG98uG1*zu|FnI`D@jRdKQzxk8b^$NWyd8(u2D+!;3G$kC~WS`z^w!C)430@9*I4y;Cv>
z^yD3~l9m}C0^Gz|{=gx;=sTV^AnTf~>a#4jwa+wn!gnFo*R&;yzKxb1cNTU`j)lo&
zlMDk^@}x1B}J>Wqq{H_$5H`7nxN$kUCvLh=CNS#51oxJxT_1i*dEd{8T2zwz%x+
zKavuG2M()YQE0N{=%8|j%qopm53bT!p4f4IjtF#%L#wiSp|z2eX{%TZi_Hi$+HNB|kp@+Ii>%~-ARBbb(KWf!
z2iK?>-B49A=j7#dtBrV41;%9Dl{d5$%!;;F;}zfnf?#BP(ogX-#qcr}LG~fT45cIS
zaTy0LCIcC-+EdwZ7T(!8g?+I^_VF)4G%wy&AFh9B=`O+SF-srZtI|+OZ&$>lu9cLg
zyZFAJ+|ouKe)-gorABCSNyNEQ6r656KzY8gcH0DkYuL{()JIQc%Inm@Yx?5jGQw}L
zFN;vD|K7S0uO+8eaxx24OXKPLAWzfrg$fp|lF|^-140sxtVqPFAq`!fi%nas$f1u0
zGhIkGsO*0w1RF#vC#b(6auLsGUM1)Gf^hXk`cq4ja;$I~1>-qOM?Sdqx*v|kl38LC
zMSO{T{O%~FLC@7RW`Rs`D;_UUZLHeD=hU>L%&k77kkBXb`h)**=zv;CD%Wb0fJX-6Cm4iw{Bx4QKz17aw=d37e
z07Ug6Y57K)L%n
z$@1@J*nDHp{U4^z{h#Uo|NqY&urX}R%&{?s9CAJs+Gfs&oKI16$eEBLN!tv=oF#n22=npI8U8_>X*yvbfGR4
zd}fAWJq{tEU_Q9K(B8WU2rVA&vvSq^q3i1%g|SjakAi^We_wJ!LRNASC%s~O1rJ?v
z3^@l4Y1|uWfj}qnsa(eg$lfca&tC6^phRg(+BtMXU10f=b+S$4aN+iO@g?U7v-aXt
z_~YP+n-dSbeYz)Pre3Q{9x0!GUBHDt)rS#@^u{VMEQCQ`Wta*;PKGc&piUEj=*(4U
z4lp)u)!yEKc*TIOWiC3NfVnL3Q=Y(X&o2JvJx`x0{j%D%`2JZ?u3jll(AYohTf#Ef
zittW02547I0a`9)d^?=h{JdJMJrjK^!V~I#t9n
zFqpm-F^qd%(piYAd>m8q;Qpt`o#>CK>t`=|B^m7geOo?$U+~6KqlSQmwT2}?Y_^!j
z9Ji!is0oc&=oapdgmHcsn0P{rfG`3QqBjpBa8@j-VE0}MWBTqn7Q}oStVac#Qz5!Q
z9fKOBaTW44EsT{^*mdLZMTf!_ul+o^BkSsJMLn>iwr+hGA#XazkoX}-;5>$aFlRtS
z0?RwO!h+@G(V633lVb%iheVl{(+rC;h%M2y#zDOqeb@k$<3%u0r!Fv@!X@gLJAgyo
z)o~X^ONb($ipE|i3NOkCbqOmIbi;UV0$mMCsLS|SdBED?H>3NOm&b27G
zDt{XD`Th6-I&DuqCPy3saNZm+Ne<3gCeb@Z>4uQUv5|l_)T`!eDh4)4i#$bVm7HeP
zlcGK4SlY|rkmbB$T;;|0Rhv^V5ivmY9!$*;tmgEku!go>HlO}6wEoTwuFVlvnSD=E
zp>a0r`yDy~S$$wDm%awcQF!=Wg=Oj~?8rlOhz$I6!z~e-)qqHau5fCE+lIBy8h}px(polq=aXd1+#33+T+$aiw&iIOxT5Z
z@D5u=akq7jE{;!zLOw%EeE=v$&9{UGeqLR-EB0~neJ$7aLXE?>I_Bt$J;_@4irhqz
zN34gnce_<=yMOuOvfLWYya6Szeb^%pv+I0iKX>4VK8*eSX}+QP4W&YZ8bs5j>lZV{
z_aA_RdjXcgCU<&hV8p>@!rU=`GY3hf6QhZM*7NsPhi7d8Ttb2smQ6kKN?mrZjr?;Q
z&|Px8>*{J(OYP2C*+PI>Kj`qac>h-4vlPnH-97xh0Z1{#`URVbR;H>2gx_u
zZe14qY5c+^zDmoC(J4+X`nG-ON$>-!0>Ajt*N->4xId=aW>%_4|Apo>YUD6DkTA6z
zof<~ND&w(-xRJICU>H8tc=q-X%k8m5!=6)C4}$G2H2e6@e=`1CVQyM3qy`7ykFZ|)
zT_UlU6RrMuuAPY0qz+|e^G!ToNqxO_`AAk?`_Hkjx5|D|ynMRPJh?J?nzeJ|5iF%J
z<>(Ee7@97hL4Q5My7U2rN{-AK_)oWyLE^-B5Nn#1b5v_UDoBZ@u+tA4x3X@s@}{3Z
ztorjeSsA-fPxmSIChwKg{MAc<8B!st(+ndl#DpjF
zKno-*@S`|BOGe8@Iid_hBW3apg`hbJ`@$dxe|T)gLS^OdfU8i!h!{=XSn{q$AV>56
zsgl2GO>>0*63#(rqD(X8c>5*r)yT7*nmHv<9p427AXJ@Ub!_Q@vW8PX*UQOJ_r8Gz
zfS?2>3);MZEIHpwQTDToGH)zFf`Xna!5EwD?TTX>w4E+;&4B!9-C64
z$r`tu_zb2oovU=)0)pKyS;WdbvAY&gs*EDg&cD1@x##Fx>mO|*a=Q#{etp}#cQtVfj(}O%Ww%C>RGs0?BZS>YRDgi7YFlF>F`?DlhFr(_)je
zGrIgudS$MddZAADz=E@*+~Nz_)%U*k>{dT5U-^U1n4s{9FbqA;+U20y!Jw7U>va{77@}ebH>QFID(kwkJiBPX{)c>5%oO=S2@Enf?b?b@aXHtposIaZSKz?H(QzbCpFqM~8KvxY`nz4DOh{QjU&Bu3UUP`RV(R40l7a
z{#};H5kEuO6jPp^tov*31
zg6i4Eu9-5M-`K0`AHz^a_xN+J&b%xW0sZ3m(Vq0@?mwML5@!GQI?9I_0tsoT$TH1u
z04qdtA4yF07&pvp5q;!4LzAi$c`LCzDXIsJm&>!X{|Eg2(0y$(;f1S-#NB;gRlmfl
zJnFsBk@0b~OA0j^mUcZ7i#h%ou9g-uEDmg0z15%unS~Y13E$Cte%LG_b9w*M>Rfb0
zd!}l!=1TXWy38lD`~G~t7qriB=j3f&n
zAoR6^{P)oReuG!S!fW&b!;&3H;urlFRWjuGlpp)l#80bRZ>*JS@#7!+_oH>74ixc3
zA*Zg)Q=$(90g4S@&KS?_e?=pSXW|^F$^&-xPC{wYAjgx-<&|Q`40V6QPqi-Cj?kSb
zrl14jBidtUm*I!^1^xRsc$sX5p`@6u{=2RobKVdEE&!56frKV_`BN=dx!K33hf=NB
zHBt$U88r0O_S);h&ZKqt1%=ZNc!LFfV|*$+2Rr&Bz_EQPc>vn>;M2SMs`IU%TLdiMLemW48^bY<$
zQ|8*JXH^4iXJZljrEh*Pc7Jbn&E*
zCFhzX(c!zPAnz?Tm{QTXN^NcvP6k4=2Z&6GPJ!BC!+?o73k!YkR87-YYyz)qrhtj8
z@02;>^t$>+ea#cvvafSe>slTWxrl)ljL83m^BHfn5aDYhglsPaBZjVd(b^e3=BNa0
z3NW`hA_UXa91}`d4sUlUCU(}V{dR|DXVGD*YLPITyd&+}3wMey`+N1v=*hq~q
zcUL>KR93ChOiZZLUlR`Gj;wiPQ$N6^5Eg`|cI_azs+v$4NRtQvsN$8oos4LtFu+>P
zB5~F^Y#4aHOLcK9rF~RY#y^f(2oevQER9t~Sd*UIdUoT68)FVBYCb3An=V&7SH~j#
zp)EHm3}A_Hax{G3i@Tx79C3AuEl8I}jmcPT?M1-U113RG5dyvNmD{sGEDuF49
zSDv-xlVq=K8e9uepl0S)O@HTRcqtbRm6#T4ow3iL9B1P&Oa1&viGM
zgYzTMYr~=wCl~J>&TOF``2hv;$iQo
zz$={15r*PRoS5yhnk)iLD?We#B9IiR3m5l_=v0^zkWe8pM;+KABBMjdXrOG=F^#CL)hTEKhYGueILNcExHOo8+os);zp9y@D(%L1u^Fg&W|QL(WP*q(g`#XsfplO
z&}ljTA71^I8j}go;!fU={_Z7&p=sj4LJ#YhCs-|mA-3>#h5OiG7OWS9kOsJNS#&uT
zI}}AZ^gU4a(t{Q&4oX$+GMvwM-=V0Xq1nCla=u^^n>_40FTn9ZzpP*{{a<
z4QHwMa*_b9)>bIw4bEW}2Q2eYX*_TtJF-$pw}^8{qSG7;QG{r*iENToQ;+UQnlj
znOk&%0Mz{ckiJ_B={HH1?V8PTDB-G-LU@MT&Iz#^tiuerDwkzJLGv3@}a$hrbF|nKXJyRo}^gi
zdILn$0cbc4Fi?XbCD5J0jCiBz1rS$hPUIyB_;s17O9KPrhs80>-`m~E57l7b^iEvW+BVdm$>mqU`+*>^Qru8Xr2})qgDDWSLLgPG?1Piy!$d6ZS$83sn)Q
zZqzdM0*CKE?Fb5VDHG)H8mFHjGu5~tE53C3%Q=$u?;Y}j16a6yB>0Fq?5rMw1jUHRIrces>=NAj*btjH1-eg%pZeis
zaB}o?TJ9j!CEHs2M~s7|ZDr$zPB+76fI^W)GJ^(qs@!g+)w5a6bWCd~1s3;RAguia
zs!?=`ZN;S{o!TbpSZrtFz~PxH*8pf0vwiwuYj=O#6J-EAWfi5^NspS0yCl=CA{aij
zJ*e|moEkhX{`2>fAM%B?
z9{p}34+{+AVBME?J1Jd-gt{>#K?iGY(VK6~i#l-;hJF~u98>g&vi8g7Tvzu8VrV8^
zY7LN``xJlDK3fy%&A@QSE=?&;L+`X;aF+%hC`n-qFJamI&l^etT||{8#v-ZwPg(A!
zx=dGL^F*Pf?^Q)u!RW@o5-NixHU(7o(|36>kLu1N9o#-N|^gT~vQz*%DosAODW|9;yfl3b1
zB}4p?)~~v~ov40MDLrxWi#y)Lv--=;aRIcDJm0#v?w%qf@gH(cq~D?)R4|k@-3$f0
zmhdEACrK~z1Tqwrfu&tupKEMd05W^0tTv&bN)GH-*!2&Et{-@R!Qtr>gb7f
zttVl|Nq9CLGd`>p15%11fodP(*!REL#sl|~zl}C9x1FB)xhe`(&(p*04@7R*M?oKn
zKTv8oDeg4-gAqD#_{kCLQyqM45-Eo
zJP5QAK{!J1>IJx#v5IIie|w##Le8okMCUE=yPh5BYP@G{&s6-)Elc2OyS>xVJ7(;&
z7J^}F(Ii7>!75WAX;U?d(}&I67F)*UwfXI9E9+2|zSEob7|F(U_cM`-$h>z?!q(>^D|Gs%?(4+DmHid*lL(_TSj
zp=YPYj`lOOB8MfW)pyxZ1TP#tsoyAQ2igrf8q50>Xxh<6k!Mxd97{XNH*vbjbYpK)
zW|vNGKzlBYyL_r9euhe3VTQ7gUk3rSRZxYtHZbs9G=pX+M^X9BIO75ldo-h-&;LU*
z>;!zP>*?ac?mzdtys2rgwY{^onQNr{9na%_7x)p&#{0x_ZB9AWZt-{gMMZLV=!WpJ
zUKPEmHjNQOw{4@XsYbZm3S@+2O>Wy^e!eB-cTYcTPyN4zW6G$`i=!m
z7wPbvlRHkI<~?E2$ls5WTBY~?<9y^_@j7&_yhv`Obh`hCbXM}&J8S$ql#0Sj*E}L`
zc+mWB?Jl54c8HP3%K>20+ey9ibZ$zma`AC+?$3|ccW=9gEGL3~edK9*>TT=$jE3y=keC+Q(x{V?
z3@zBltMgDTV3-g{x>KBSY`^AjoP~PCb&ndYqAQdyt3}@RaBZEdqy(0}I)(q8yMeJxNixk;k4SKy~BF0yJef;dmhPOekuM)-KCgR*t
zu`_3^{1eUW-S*x${neN|X79@UPqMy@klCwKhTZfv$Stx*Ok@`Pi=O6b&Cz$UhVvT?
zzV^KNe*Cg$NBlu0{%b|3-s~o2lc=B!09Ew9_)v;vd#9sM`^b3M7pQ(t*=@>R`(E*O
zpS`3Z6OO)xGCi~Nd|q@%ywVW8*^G{vBS~97kPMl}UTSQf--#m$4%R%AYusO`2$0~E
z7bYLxCZejH$8#m;0F*TsWC(x*0io6#Jgl7cX*BDm)4m=4o4~yXvP^HBQl=l2SY+r#VstqNNeZ!wwIYvqeR^OSo;+e)WkD*{lC#r8R!GYvd*g%
zv4%VOS)PsF|83%%7Lxbv*1w%U)b{FRjB=zdG0h6XK>;}fL@$?^>2su<%K+`x`(AOH
zL8x-n>_B;hW2wSL-`|%1bAM==5mL4m;V$R)gpE~MRYtj=w@6u<9juHVE5aW8yZNFr
z=3bz}pMI+mQJ}^!6$heXF3nXH&mh1i8Sy)4fM|_45hgBheX+;hxq8a@TI3^jd!UoD
z?_5&o?ez5%Rp%|POmpNdq?E^>M+vpch%wMH2R6xLAVCgdsO2G%11Bl4p9w7me(sD`
zt7}_RK}APKq@*OOVqVqhr{BnOtvQkS>gIO0-qipt*SVWUQK)R6tzaN*xIQTJ2O{3k
zoo5|g{7T>z`xwdt;T)xL2d5B^YptVP2%bnCP>fS2`_dtx{)KZT;eOC;&>U=tRk!zx
z#?XHfo?MVv!b-u5jLe09{!P~H(Kf4-)!v&k3=r94#@;!%EVDs4Y%DM>g+xlKM@Zz<
zO{?Qs0G5e&D?>uGuhp4!UV^*t;CrcmU8#$0r?tlR{3}Xsq
z8`iivm|K(DQaOg}qvyN~Ul4OY3{QKK4YT7s>~gZ)(FBp5cV2T5<#L84hN3UI}5Q}w|4B)Ka1>}s`>$*zWBseHWIDHN)Gy)})-DDp3PT~Sg_r9+R
zwFc4hb?XYR_V20RaVep?RN8l`hZnyeA7`qS%n_iD42ho7=3Jdt(DxA24$E6OM!xLL
z%LUel8ae9-khrn45%0DhfE|?
z1sgLIf#Bdfn*)p7Y4sR_0p%gNz{^EFqPQFPEU0(JW8g)x_T34y8>)9NKP>6E4fm;b
zTzSsvR>{nfG+KHUF3-}dU62IcB3lmBB##YB=9gu>E|qH2$t(TmLvMHfgHzLFiR#fO
z<7a&U%eHDC>O@SE(c5JyWDkg%Q*5E<{@?ZMiH}qkj+opEB>X#`wAFTlsm1=%I16Op
zsSYnjIrq-)1h>3pKaK|jGf~+qOP|e#wqHxh=GYaRjbZU6TJd>nYyRuUm(#i=_kurY
zXS@$9A?j5z0^A&B^nNZ#GWNZZ^bAatz`46zH3A3oBld+U0QF)dAS7H@s`gQqam8L>
z+|iUWGhGc#n*du)DMz_M$`99wwwpy509m@?K`O$61!;dilF-kP!mS1mLkIYgTU4Y~
zy@u5}?}zIZ-)~g066x-~nC6E|y#u2n033>&`|W*s)gB47439(tIGY^qf{p0RtB}1S
zz=X9lU_LUdAa#!5#_US#<>ZPUT<+Ijp=_M5b_f
zb5Ifi<0SkHJuLUFI5)PkjjRVqvSo%0i15Kw%HUzz%Pza(9?SJ-l+NyWcd%@<$*jFW
z5asIaiicHk_Fs>UYo@{h;~BbCQcX_bRe47rewU*_c_nCO^3uSThbL}yVj*hd;9$!_r#IB9lLA&pBf-D6rFXB^A##Z<60~G+MI>ccFsuHZmFXJI?Nge
zN%L?xm}&UNjyWhsL4re0n80ApX)?O2iE&+(iYmb~;-1zJz-M|S{U;HgOKpaS3iqsI
z3|;)%XUxc`Q*Kmha4q`YWt`PY-1;ZJj%fE?i=e8+Bf~qQx=1yt!eisPFLC)Jeq`M%
zFFWkM#3I`a31=so#Mis^*+`2kZIw5?96oOrX{21{_$}gCD
zs6OANy#MeP!uD$^K9^k+b>a3yn6x)6&vJ_QEWB*k07xuLFeQaV7C5Ihwk!|Uh-muv
z4v<Ml?F9);)w?f?C8gi+bHi?Dc%gskumS3zmBRgJJo#RebcT#
z1oM)RA0==jfe9(Ub1{m267o95C?+UI1Y12lf~}(p&hCo-A@#!!H#kd>HEus=X7#cT
z5cnk*?{PgAm}7q}(sq-Et>C#Oac^gr6dSw!!uEo63uY%*Q(|?`Bi$jpme_;Sk=<0i*#>t28yd_G#6i6;mC8a(lsk>z}H$5`ss<9?#JLHDU)F7qQ%qHIiUFaLri31%Y@9biua
zT*D+!v#S)dW?FR(2Ve71QgT@Ghd_22SDw{$*pM!zXD6M>K_m&Z=W^xD)mS|MqRvo{
zeBfhdc$;#H;!ane*6wNCl91-m%+BOUny5c9SWHe5^&Y1ojpr%0$)9gI?Pidq*N74s
zf*sR1jecBTW4?}PIL1QV2B1nO%-|dj;4_UnJ?te|xNg&h(oJ{qY%WasvD#&hUVVvH
z^X13g>*_|SguBUjHW&YrBOBx)xk!{qqaj4qY!ru|D>E>-1(^+8Ino&eB}pMS@PQ61
zhuT;_y4D=RrI)E)TsIpTDWLb!eSmha42Sp)NQv{1h%i~j2vH(+w;2F+AtHnqtDU*(
z2gMalHgtI#1eq}X8zSyW$vggE#mqTk)h;e-p#yo?eqMCA+TR^y
zw9B$&h-!ZPYA!yc0%02_ZQwez7p&_55;2H_$lKvs0lQ&hlxSWXdfnhEbz*qKgj7lB
zrU<^s_q+Lc3KvcaN_yUwtAxGxce^3+qW5%)kWh&;xL
z^K;`jh5hrm{WTDL^}4$6JMoY2BrsmqHk)>zE)xt79Pd7$UwK7rXBG!PClJdf!nim$
zT$7YR%)UT}(*V~C$wl;w0f%r%sB5o7Gf~>~LQSEx9c{0@ot4J{vpT@gY(dXE?Il5m
z($()$%zA>E)*L?aKF$Gwp#kPJSfJQ%tzIfVY-Dbe>9TC3K$`Zy41{#jl(=G~Uy&~egjtoa76A(4Dc(>)0B!tTX
zQ7V#$!G+1D9sN!jK2irrna@i(GQ`HH=#8`kO-t5m(ri=4;53{(6pr~IkhuEITkxrQ
zj3^;GEUt7sut4th@^DJBXbHb>%9jxIZ_2i8Non+h!-2CbeF?ty(@^s_jDD{={<&2FOr-{5-GGhEOUF{uTP&$VNS
z?B(9<7*!B0lueR-Nj#}MTskytBMjxoBPA$JNK?i=Q?i|+oqY@lnZ)tF6EAh?UVQJw
zrG)0|AHSc`zGC;z0ACSd+f4lubp`ndfWL$ym$~B?oj*fHOE6}l62=J{523u
z-|d>`+M7?Q%X1zFL9D(MA-y2
z+2nb?F>6<7vvFIbcbr^f6gCC94cO_c_y&$O)H9;&Vqm
zfyKB-yIsFFldj<4(07u7p
zP6Z}0eO(E9GB1Z7r^x2L#F^=7F%Sqa93~ohl?vUraMWf&!qymXt#*6?fes#LzkQ;%
zjB~Y_N25un0whvT-rOLEr$73r=;bLl!$^aI?EI7C%oi}^bw~s`hhZ%3X?7giZ!c~l
zvm^=pYIFK2fBEmbQ#wcEFIVjf&65<|#E<{f_+?KlcZmzBJm&L30k?p*4m(vVJ_pUn
zIf_r$IT~ze|IUMKg%3~O5t$eFEyJ&Jj56#ADR3eB)cY2oN>OY*-ow_zO~OWYVehmJMsv*nu)G4|M+03N6SGvWCho`21r-y
zU^hMS26V=bcbC*hT$#sk+%@X0)Ss=278#wa>Y}qOzmc;kkc59-%tX}@V+;7PRlIRd
z2_pOp+Q+Et8exNIy-Y(epTn5})bE1lgdWcw)*kc6Y?Yq#tc9BEBp5s{0zWi>1Cc!;Z(Y)CE;@hf#Z+k4lw;w2i*T2M@R$8a!}q@(KZh8^hsleA;6s=4K)ACN
zLkbipV^JMz%VsPlUSVe6;j7QpI0A`DKE53)-foxmU2JcNeE5#x=5+m6{O?y!6g+1Y
zN@vrXldAhVp5k)^se>_L@(yZ8g*sv|@1y`aUHDaY`6fQnLRtk}6{>#fzxR~PDf|xs
z+Bi%&cLZ{&BcT_?DcD!|G0(-PVoTpO5UiILCX;9|!%!Y42OOgtt%hokvT~0!GESf%dtt_90&YF-lk+#c4jTM9f
z?WlUgv0;V!j=Z3zsvL)vMIg+|;xm#o`uk+MN!aVkN77w8`lbTK=
z$mlg7;blh3crOFBagmfF@vd5kj5rv|)*EU?V2Z?V(>3cQ~bZ
z8K=kaX?yn3EIFsjz}vtZG!5gLL|p)~3N^)PCcsQp2^blJkW~+Oi1UIFC9(J@aVwpZ
z?X3dd0Z}Dewq;*X1Od5^F|sjmX__|G*jTnktmeGy;JxJ+WU&(ohi`A<%E9deMBT&U
z5)^2+w!*~X{qy@vZEdz6eAJ2RTDbFvRC7)uYH-im)yaj!!NxiBZO?Rft?mKJi>{
z__S(AqL-%+_`$Ph@pl(RU6Te$T!^$=@A|)40pMNbVt
z_DLF76o%shVAWnPd-))znX{GP7gZ4j2NX?P%NZgo5fK*}3*)-Gd&G&S!42!)^1j{t
z9AXO*OC?tk16hPIT)!Ybrg6gGbl=?{46$HCx;)vd)vHVwm;(brkndC+&YgnV5kUuJ
zg^eo2aTW9BD65_kq~l;3zT}elc6rzS3iM)`?cJiIcYh^qQvUf*YF3n+h_GH$ax(PN
zQbDjS>$|EO`&2pf0j|XkIOO09Ct8Mo90L0D58|OGHv2
zh=>K)6)lwLz%Ztqzh0j)5Ok@^6McF~S=H|X=ENSLy<{`cuDIaW(Wm}e{V#@GFSK^I
zL*8^8mOosNa(IzAzAg&5E#r`wq8TYj2xvAp%jcjs}I!C+N$m&Yd
zx2ip-vfZY!@lZBYC-%>VF6kxI&QrIM8g`9zRA*6i>B8&`MK&D3?byo&S*MK3K?eVt
zVVtobE?w+8eYD&@8~w4=Jsy31Hu$i6*1E^n``t$sEzm%Y6He0H
z{pQ-?pUtwl`{c-KRuUZGNh^{v)dYX1Q$@7y%T3vFhX!xSjw^q}iJEn)QLPnUZUCOO
z41TmarTL}U&ej#l<~XK9vzzKS?Onfd(1ZZt@U+PhGuB2__z;JsVH*%zXt>nDZ8~~f
zH1}bO?tZ$nt6B0q`;hgxY`->U!E&tKTt^)l8a{lw6`9wMjw}+{{&%eX*gtecI7B~C
zG6SGi?w#E&{;+af6{Ld-ARVjgl4*Skvno?pDTsme`O2>?&>{WQ`gdu=hd%c^1PMU}n7|ku~)TOC4j;blRfscu(u7w@AJMOFs9Y#=Le1+R(-9(&u**mDc^u-i+
zsC^hw_)p#>ZuYKE=4w@aUlGoIjixj!UZ|76@iRRb>0tJ&yfV!c|I&2)tDbjvrFgYt
zueclaaoe7AKm2TW54O0>t%;boO5~^X)_iK6uH8eMmoS`Ioil7A)=
z?2Kq;2BlzE+xaqeW+eXkj>@Ic`L-z?z}GkmeecH7v&+VCvE43lCbqBPl8o&&|e_31o62&a1;7aG&la
z=oN{DTdGvK1uDqKGmSNT``BOEA9AM$G?e6Y9DlQsTN(2H&>(G~*W3PpRg;)I79yQ+
zg2_?gOAYB!cJw@S{i%zQh!fi5adI-;#k*3$b!Hz6sPdsbO_YcDf=7qGA!tH=;{NitNuN>E#OZ7v&!B!F(txhR~7a>Ac>WDK*J>tUPwX6R8h}ik#JVGNGvXxlKRA
z_((bCCLAf-U;hXfCrpNdKbYwD-t3WyRlEEM|0(_6))l-n__*uV%%NAOj3@RTNJDwQ
z?Xxe-E~-3uUJul3+4_JUy1TGC!J^D;izM5MOAhW=D?5}`f{V0lCaTY9a)5AY)d1F6
z=vC&?KT55`)#>4Az!Y~i;ZcuMNF8b~
zWA~M{;THP@gWAUbUdR8OSyiycm-)<+BeH5x;XP#{Hpr3e=r@)34xAf3OO%l9fMmV8
zTn+9&oc#@&(r5p0TIS4W)Cby_lf!?Bs_7ENU(e64YBoH9+6bt)>gTXM@Zm$MQzUH{
zFLA$Cn_SgRvExy1*SjcF+w@l4=ZT})cWfBH_~@n0eTUf}-3@egxKjBSNPq1C_SH?W
z0QM+&M6t{;|NG?ws5`|a$3#*|e!Mr^n^$%&cDm}*jx%!Q
zL0?J8>m8_owZwyu8Kj#*p=F{|*P+W6$wuqh8|G*5FlI(nbUB^zHPsyORDK(PdTE3l
zLn4|1kpPB{JD6rGONTvy_;5sRES=tZF(3P7lC<;Q=B96%=V9qIC|&2P$l(UMP8dgJ
z-6C9jHuWC|hH6IMN$tSf?fF7dSA&`_fXs;+3u!(_UXwbwKC
zc_H7@kgiu;cXhEY-1fs^Ajw$jB?+2>pY2|hVfKds?2);AeY9rKv>FU_V(ceL@3>P~28xL;k?)IM
z9xr`t#su@u{Mia+QrO#ps2_RxzhDvIl~i~EQsPBiraiKI0DCyYJJIvRzfZlLk!4aR
z%NAMjs$nIFlX)-u9Z5*&&!29}xiXzj6|_Ya)us{+qfpW93ep^D*GjyRRfU{Fneu#v
z#YC~DT6*epHiJaAI$7EK1NG_%>c^OuHM~3rRi&}c0K**PoT6&sA+?lS0g&
zr5gWQN2>sG*C2{rfKnf1O;hpIjL}@|KJ`t&Rsi?iS9oict
zGvItSW)P{rQs2>h9?c7J(>67PzeT|eK+Aq&)sP>`hoqVgETpbO}0{a
z>SuOmP($h^=TB|nT34lfTzn2m!{=C|SY1|jUektG=4hA3oI>reQ#mWlDO2w3WBFYU
z8%;LhyVs3daG7RE(^84dbVS{r%yZ37;9dU)q4a|l_Qhf;GA-bgmIWt{rFa`Prm~CC
za3-kjJv~t7Mct3u22Fm8L>&pQh&sLK=-wTjsn8bd5+CqO=jfBYKR{*OEly9m>aeIh
z_40V1z3qiv?We`#Uq?1C8>w~ZbR4$pK&OQ2W|rl`ci$RoQu^3&TDyHyz9>Hvb%fM<
zST<%Ou#Pd)3?p#{woj}obe-PYl@b(9(`Z8Xu|%8T*~Fbz(~bO&Io5$XwsLo4+wQ!Q
zNj&cdDM0-~NF1^TEC%&DKEykX=_B{MC}fH!EU%xv6V?UU^z``0yD$G|ZWgVOSGzk<0S>ehk+(_KcE2thcySUxTUmkXS#&v5c%&B4VT_{0
zMuU$-&5<#9u~QRfm5Pn6TAW|E3hxCS#VMRS?%4F8tEa=*YV>E4xmM+mkG&OhjwvU*
zHDG&^PxReY(0ukw$M2`^KOEQ9yy&9qUN?UAofqr-{*0|@$)?B2%=#)`6`te_?#|7{
zUfF6hE9&q3{43S*}ZlB0lFO1S39V0_xkaD-FzRbOOLMyO0<=x
zTx0U$vz~=&DWR+-u0z&KoYlQ^jc!CrG)EP+-?zFd(RWj-s4%nb`U%$xcwD>eOu(Ee
z_F+ce1L0~EdDA78oTNK&?S(1aMFv)TovvF3-8a}!q;dBA#Xjc}&le|NPuyrMy0xti
z1&2ZVO=NoRC)whU^=oI-9B=Pf94
zn05SE??0olyTX;havj>WsruqS5-9TuWvl+rhoSjTSD@?H8D^OsN~pS1cP5V=qCv}*
z+XjAv&oR2N`aiqu18<7Vo4lT6{i(k4sN?RZ+jm22cmDYv->MzRh4lTiJzPHPdZksD
zi&8$%+aR>m+QEW>psu-`}NXm689N>u8=LaSzd4X1ew#vYNP=;KwkGWWwEYtA^t&u+|HtV!=VW@fk!_uOLi=44v$m)*O=>+w&XJ_Xt3
zcIR78|#A>o-ByN`*UCAXb2nW~d9zjl3D8?)(k+%wkPkdO0Ix5KtTFC6_}{y8{a
zd_TYNHc^sSZiD-lukI|i+vrN;tLul*8t`0V{k#SH*p|*hyzjzi^MyFr%cp-Bmv2wG
z-C9t4Y?N-NEF$_EKUv+HC?@mxH4Ce8-)OjXa)nR;_cJInV;{H-qaZyE0!qjOa|e+u74y+FLrG*I;)EGb$ZiF(93wuWt#ze#5_U
z1tFxzIfKGBO?@$5di}lsJfdcIl%Xqp4Prmk;9Mx3g}QI|LY&iXPeiX{TVfwA_}&*C
z@A^9S?S+Jdse9;E^N4j_0}uT(s8gTvR+g4mO4rM*S9V%9EIj|S7o!+QcDgP5qv}u>
zBkqZOdKdEPbaSnpozh68eXC=`YD&wPK+EuB&78Z9o8t#>LmD@JAZE?*m4_KAHxJaV
z^u7;C=&?X+V4c>CmfthOtJgf=kJvI!#iL^iw>&<)JPcmq>Mu0r+?);CNH*Qh&&>9X
zY^BE@jh%h_PGk(F+q;#)Dac;to8dHlsZ2~X|7J*ff`#>Fi9)!R0wt<<8{PtGyDq6F
zv>hh;s$1>G%k-&Vr!(Y#EK&n^vC+F*IlCDKHS4-N@v_G0jdxc(f-)OZN_#(2XFfU@
zUzlvlnQeNiRG>$^_71w*bWG)Zf?~ViV)wlFli1v+Esk1a$~{(tPfC~H{rI;tj0B<#
zVb@~h=%RZk)c2m%YA}>GZ*1H_-k&Ev9zf@Oe&!Xy1b^lSaSK1$-cdTSkDL6FQjN$$
zwHP8>q8dty=l>>(*>$~T_Kr?`z1~;fd5;U+zIZEUd-6PZ#&V-
zLf4MIlHB&#OFkY%euMYBITM)ltStLe`^cO-an?VauJ2RazI`0)iXy@jh^!BC#k?67YkeH|N{I^WtuiDvHUw<5o__?{FU_bQk
z_9XwdH<6oh2xB^oY&=o^H1-(+B94pwX}PX9t^DsJH~P_YIT?)*ugvS
zi=Q@Lzj*J!U`>ZgdCdh+c~oDQb&IPl#eVJUpg(tmXAAssD&d1uv)@pb)VSlw
z>lAbPn8KTv_*#z^%s=C<2Xa6M=Y!C92`HeyA`-?W?bEsD-t5aE++qFw7W0IKDZDrB
z;C^8Fb!C?`4UQLsrYo+3f7u9G=DetmU)C$Uz4wad_8DxadUeye8)5d#seU>w{~0<^
zt8C0u-LlX8)QOkYz2&e`rZ
zCuVrlTE%XLx67#TI2(eDZKPTdFLiGzGg+PFBrB?!wg{7>v{oegzMI|rrPF7$&;u!L
zbjff{)01lr)$SHwA%Ltv?gy3>`&R234&h4V?3uRt%Wr%G**_^!B0p};BfGxY-?unY
z4Y7%S>%6BQxt@Pz`6j{cRTF(N5b-pyD&s-ruI3vX{Lequ`DbWde8$TT0-`9(=rEh@
zN5U0DW7cCob9!ekn+78qetx~v!x&v$l$c5rm7S;@
ze~D0xbP%eW&G^**!y`ZgCt!VE(3#CkOm_B4!+n!)InJZ(t&-~+R~7z5A1nw20twS3fy)<9w6I_U
zMPufepOem*ZHZm$`LZmtt>f%}+?NNgU3*GjUY2Q@%vxGiklGOtk8^~GFGsQbHHc|9
z2${mMbuJ&FoRd`*40%{Q`pVfo>VEq=O6IR|$$qcOI;$Wr*Y;w?gz_*)&{kIb3*N8e
z>urK2fK6tk(dPljB!1@&nm{cUfWFH{{v)KAwHO`!&i-!vEr5XUT7?QsRo|)-4^Ck-
z9ogq~zL|uuhM7oOb8Bb~LBvc`PYTlE`%Xx{!Ys2HqkNBSIyd2KHgMXN4(nPllK=;1
z=!ut)H2mn9CcE_m6x)$!qeSk4@WiW>$H@iYSQ08KY
zm@*D}TT1S^*tQ!y`8yhLCDeGwHWPw6g6@b3&a0&2A4k+xvk_ARN4{of8%M2+`Y^!u
zG}6Pre!+CV`V>HH{DAXv5mnEJd4Y`NPt-_8jbVL
z-YdFS+aVuv>MT_-J5{}mIctmNKQGyw%va}hNsgSwk13y3W@0KP&b&K3oxc0MTGH9;
z%&YgOGqL>5>6b?A)^{9n{j)4z*zW}Lj&rxEYTm=I?~Xdx3~xE|Nd}vYc-j`5yy%^m
zkc2j#4|%`PEoRkDeiVN3{G;q6gXpOTR8@sECQKY6HrRScW9HnIu*zkjkh|@Co7wc=
zxBBY_JBJ_0+go?E_bSb+Q70H?9N&FP*pp-)qVE5U{=Eku|6I^7&)nTs(
z`|pUP(H)^$zatCd5oLsU`NYa?A=!56CFL|t1s}M;7WQM=Fh>nM*<+`
zB0Fqm;GNmH*+6vue)VIGqa)X+r&~szCH%NuZj|${d0xW+4REj8~n68TH)UMintxL
zs^OBx$MZ`e@#S&x;&=AlZdYNQ9=>{eBkW?|MSMVSWC9L$g?{7Xo60pJ|C*#y`&0ei
zoJ^B=al}oPq2k8fn?YeLM=VXde5Ttb^0+z0BEM016Xe7_qx|lh&-na%-^
zKZFG-NFD$jSA9${04haiLY%YXy=Ze}O0r%PH_~zhg1#ALf$wO#GN{$gor)Mz=@Y-{
z*;$3Ih_aC7ERUOb5yK6{4dS}{SmN_4Me7R9PU@D&&)xpY4UnGcF8gr;KI@{_-<#}2
zoEkN?H5RC2KAyL!*nh)vgPv|l6WPc{G)QcG9SHh&$lwGl4gJye7YqiBy;_q`pZ)#a
z+6d{c57~QkEHsiiy75|?NKRus`SYRtwASBPlGFZ@IFxY;#JMMPvi0myH*yZlyK)2v
zfMZ9mI*|-gFa+yCMH~TW)RVtg`&564!?#WyJq4LNA}peyw2{7(TZZbveY9pALc~Z}
z1prJT9Hw*wfF$D4Z_r5<=%Jbf1HT|79h{MfDK~6{V!l9z5J+%sC_pl@=!1t_CK(WE
zF_uZ1DGf%MuA1e)L7-%)w|UvNE?v%F@eeo
zf>-pxhyl)BY7D`|$};JiHq8~!q8<)F@Z>NiPE%y?{Rj-$g3=I47F))cLKC15o_G{D
z7^4jh$FrD683QX?#!G|i1VB6QslYBosL#ZFA;o|>C{SVqSXL~rnx5v({8F6c36Pca
zpqOeC6)4FB|5Pp3*yz_|zc@2LA9h$XNC!_w8Ux-?65n9*1(K1K_5jBADXp2}E@B?e
zoAH}^3fkOv@^~dGGC=F3+5|w=_e@TWnqN{#KjF_XBpbtz)w)Cwz!<(@ia1vE#y60D
zd0N~EXLGK_MnVB7e#F271jbuJu_FgxDsCiNHb()hagwQd$DS4dK4N)vas)hL36GP^
z&H!>~mbvW6%AMX%5YnfMAodlK35krv3z{N3avQ9w3`cn#K>|n3Aoe&b?q<-JHmi#7
zsb4PAKe>QPH-O_RJ9{ChRK%L8fXp+s7G{#D8^AruI_AoJ0YYFT9
zhOzp92dzHid3)9ZouuYi>y8qe9BrF=A5epcP4|*b=AJ?IpD`re=JAHjKsCJz3e@%3
zw1`X$gijhVl?tj*tDd$DVl6R~!i88g@+^AD2KZj)!Ko(4&5B#DadTM}DNWKWyIVvh%20
z_rVMOYnHknUxbH4G=ize3SD1Qs#+XX696=TIXihh5P&D6F~x3{crH+YR)hVCD?{KS7jVMqV~6pp8hz-jRR_UEeofBsy}|K-nZtu|)i
z@nx!yw%#45sQC}%brEVNX;K%~phUHx=eG^1NKxx{rWMP{%et=H6yiXJd6o6MUoJ#9
zn(nn_kvNTwm$m=n&$TJQIp0MVgNZx5B#!pL^~--kHO`weBO_KGcV0|B^Vp~BeB+xd
z&F0-PJo0BIv^P9E*p9j*9zFcxQG}B}ZIB^IaO?IhO@4`g-MamP>2&Ihr<(YAa>8nj
zl9z6E(82@#g6npL;`Xmgg4j;j>&cA?Hh4>v_#`qvl=ZD=b&S0r#@5{_4*PHFn&f9n
zs9@UBwta8UumADqe(t^U?Xckbg(u|>PkOJ-ej=Zb{rhtN-RGY${0b?88*|64OOUxj
zVb{dxac%N}47qvj@wr?m-OjQ^q03u-P8jRs|0x6B9NIA>7eq?4YTt5Bm#a)(OM!kQ
zN@QwpE}&DvUp)Mbc-;>qGS$|C*Ew~iWnX13`f0Cb^BV|m7^>O-62ED#TDwsY5K_yX
z>#QSKoeGArN+hWi1>-VQE*C-zJY!_yMrKMo3_r!2NTqzdqcO_$2o#V^Hiv__bdHL{-BCD?!o;~f;z{!C!i0j(tx;-r$isSuE$+AxXpNKh?*s;
z*8bpE;I3BSQIByf68aru!cf(#and^5Zhk`Kv))#wyxL&UG|zzNX1%%h`SU}mAQc?o
zvoH+^!J;du6HZ}q8(eIo?5k(c-9SEFJVkN;xvv4VBGUln1ZL0BgLb^pF*s^5k*Emh
z|8A7N=PN=xzhkxUL6n2Jp{%%Kt5@Niy^gB~?Jh}fMhF@g@EN0Sb1BJOfmqF3AF?2@-9pSRcCxyl(f%vyjWLP-dHnS|6QiqH$>JubZ{1#=Dc6-d!h_
zB);R+HgZ}|ozcg#dvfGy;kRBmD+D;~G?y}VLSA>J*hJ{g@sttqR-jbB?U}i>7+AyY
z!V5St05}vfgx=>Hv_j#C5W%@*pOvR#0KKfFCXXhw@%+YLlRU1Y|8BK4BUb4m6=2{H
zo4xTkilmEJW)0FlfiA&A)JC3h-q~dfh_*k@I
z@b~QeV+$%XV(%8@*9IzS%L1Uc-ntr!rt#{arQ|kPq$rk>|J;VD;h%Clp={zqe3pOr
z8*Y#r3Tghl6KX2SPD);U4As{;Q;O9E05i!bd}YFC7Gb5*?#kskI_wnbl2Pk3gSYD%
z{TA}-B63wO^l
z!?B5Jh%AyYN-~`5f{bs2c#h?nqMViVSD^1z-I5jNm#wmosU{h$8r$Za4<PU*)<}gn!;vzh334#
z$5@1evfNx#WI%~nMV(o4t#%sfzC?g3g}YDacBOlD=`Iw|h!UbHiq`jRX4Ai8kP^rb~&
zagu@_895cORo9^F&RhCT0$qv+g!+=EU=_s6eNf;ND{yVCjSncK8kTIoe6xmsXt*j}
zNh!pcML0UhT-r6V?{YocA)Ec{L$%>t(HxnXk1*XMA4Kz)>84iZqhZ-g
zO=hh8BXBR&nA`!kn}j+m^Q#Ol`Yi_cg7Hj;se*d_k_~V_gTR*=u{MAiP54iI={C9Y
z?gO2@6+IWCpIYVdtHd55EC9g7X7L<1tN5rgw$<=iTi2M9=ct6OwDa@9Cz%-VJ-Czq
zbR;oFta@6p2}Ax?x6yW8%b(>PyInA#}waV@&ay5P(J
zo#h-6%tZ;KxpK}R}wNlSYqA&uwM?6v%Bea3vL9wye&-tpF?Poc(^L<1Y7`
zdo(3z9y!aBW>N{2k~Ct~JMN=Cb9_Y^?{Zr2kpd<-NV0=QEJnvJpFCkXzAMmZF=e`%
zyq8@?iN}9JN6x;?{>6LQGUlxA9y46o1h{@MnZ-hz!hJoPX25eS!w3U6cr(u6@kWiD
zXJ&3P$KDWpwdG>dwZ>FDw-`&Wg2FdBGa3kC66!{)=MIc~g_T~)`xs#rr@ska2j07I
zC0M3~CKSU8i?lSa?kI!E=^8WNM?~s?b14F4nHlnCBTl
zD&Yc6nPl(Aa{R{DDsOJb{iMUca~|@^v@QpfrsZquNZVH>Q`;h6a6bbOV<(K(MNc3^
zR#5LHphjjKrw+YRWIvL*-hB!XEPrp}fSx_^rP1lQgdDt?R~TJ3KklXz>%$#)3GH
zf;bbP5v{C%Arc_L=(({n8piKv(xCkSA#vGnaP(sCiEk-4ezI_Xa^b(~uM3E7d5$UUpl@BBFkU8AkjiL3s%);#!os$$;A-;
z0R)KwyXXj4IY#Egfz~Lp=RHS0#04=w=-3amW-d1@DmfW*)@dGEV2G$%Ve37LVx#U+
z;Qg>DMzl;@N`Rm5=U1p~=NKRgA*Di3IY1ke5(iX*3Jy?&AnH>8r3M7xOh7zZVVf~b
zpIJewIKqAUVBl32pc$&(sl&p;4Lh9y@uPCSN`h8oj4hxoB%zi+qnp|w^3yDYKCl=B
zP$0p@AP|WaC;k>a8LhN}Sr4e2&*18L=RMsj6vwBntlex@_$teJ6wIQ}2!4ecQs~oo
zF9BW=BjN`Yxr|uAuo8&bJ`$(^ldMRIU@mUjP`{&NGgJ&fwC`no#@}Q+CSqcdV5d~{
ztBj+LXqDvD^j4a{g7?+;l7ix_gzU`4;A|y`4SSdFhgE-#qnC19+9E1fY#tKRKVxn}
zR!^5oM30!AJ@jywZM8W4P{KI?tjl
zvAKNQ=7SbRA~Ol%r|nz`kXLw=tt3kRTkNAFiX@a+EE!$cH$*$U7fZ}54D>@ZA3%Lx
z!EE}{+5O;1CaV_#9^D76ea21b@VGmOc2f-nJh_+MPM<_Uhon*3s35RxnPjWhrYHXz
znEy9D&+@L^%hwoF)WvpbR4oFCAfikdtR;J_*HLgkENtf@-KSeS2sEV)7lWUPT9?Jfom4JGMv!Kv=BN)?`pa?FJ-dQtMDub(DE>
zfw?qy{`VRv2xipmdWi_{(Wtb+KvX3@;{
zLwVmr+u}~{C$3@{p*H1d1&Mg{{hgb_Q0B0l+-M!DCa!crPN4ip13ZVRkb4fhnw~_2
z2g&fq-f0x_2dTRpvj+X9Sh7-kPj#Yu
zX=M)TrE&2LQEuA-Q*uoI{l8KV+IRIAW(jx7w!@2Dn0){VI(
z{tKM^LrAK}O?>bu4{)V9&D2yM|Egi2m8T217X&NFp=uJGU=_d-a44v7Lk@z
zF0}{Oky@Jd&62A)j6Ap4hZeDZ7>90qG`#9!=%u#B_Ma;EmD!wJ9vMo_T-Z*1peMn7
zb)x7G|t_pE#2NgS7IX6R3
zH(w`o$5=hHPW^_~yxdt!zJCrDoJ6bRSE*a#wKT#+>&goVvH&p*k{$!rUJnbCg)59%
zy%<9a%C%{9KTKeHXd$~5$&ET{Qk?b4BwkPcnTwTP&To0oRdn0^eD@%&f)ob;lR7A^
zD2Tuc$oj~&lM`h9`<784I#Ri!YOomdHk4-F))T*mp0EjmeyM$F!|Pa&D%o>^w1AH9
zVl6|MBg1AxvX`&F6LPEPL%ks~{C<6MpKX4?zhUXWK~EsXPb5Gd{4<5eK4^#&09yg|
z1T{H-sV0K@*>+>~{dqOht3X#;b2J>~F4_G2fG$Qs+5_R1*(D3NgOSIdhysM806k*2
znaUGwh?aQaz>sQ>+Iom>SGRJ-dEgDMaOZ)>1UJJI#j*nO-bE!vL6qYlNu3~EAH;*$
zZcrWV!{RyjtjSIg9a3oE!!0Ca<$`b1*mW+BY
zo&6)@W4_B>S&cgy3#s)%{pm(E1;d=NFzN)#C+Hr)NCK-M9}!>(dDQ4A@{%Je&MQhs
zx||Uba5=r-W!LUTXalN3He$ASGTiw2pWZ$1het5af%uV?o7AItLQpLVD5ofR!%7a1bK^juPxRsB;Z|37eeby2B^AXNE9d%t51oyN&TvKB
z{P2OD{~73nf&+${>t71IuU$|!L>-&v^_uffcy>T?(jE_9n!v}kCivhJ`$qKUp_#*2
zr%5dYcf-;RA?~T>!h#qCa3_kb275ERk2SFmmdsJNRF4X4&aQSuz^iyb8MzxvwQ(R
z(MR1j9ElK|GN=aYX2aYFuYb=Eb34o1Of3F*xaeTE&@DvNne=#ZRQEstROCy57fjQ$
zw2@R2SnT+*!L0UVm<}o4r0u;@`3Vt=f}AESF8vwM>XMz0c&kKy3l2gf^&K1jFfDgc
ztKk9W42bYF-LIAf1%Tz((?7ODM?+BGenEu^0m=;6C>5-RVTZJ2^K-+Li7W}tAP*F*
zSke3-JWFEczEt5#u$wV3H4rU6;XEXLO?^S!FW^)Z2+<5uCcwp~A=vA8JtQiZ!(nbj
zm|Yaaj>r;&#r5Jj`iUvdMA!#wZdb#AZ+5T{;`y3@v6vE{m@d3#uk+!WkxrJP!SW3q
z8>-Z5lr0H1?Ph0(g-LTZf@hxjV&UgjSjw9bB1i0KrxiFrK-x1*S3{i%t<#tFgQ>9{
zV%+MldEY;mS@Hi;LlRv!7oM_DfKmQk%9BAQ0S>0bmz6^Ad|2R?D7fuPdVdrYqJYXz
zd&B#s;1r65X2{yK0v+1CQL&63o6gUypUpmhISINBtKL)468=o>_x@VGU~539;3D^J>HQ-w>pNg#maEYv;Of(-adu
z#dEx;rat33U-<wC-&J}J|8uF{junw|MUL9!B5XqEj%0#%1PtIC#ZE0
zP|VU6LlQqVTcV~WA>9x_<^9gx5Z-Q^w#4UZMqrb;vp-8qUO}7iT8amT
zt1X?SAD}JYkiA0_Sj5gbcoB(32?eubRH}7C-5u>UJE1OVEaVTb+y6ryc{Rx0J>)i$
zzH;L*{?y-TpE1a*>C~b&uOmhDAL||Ky?0{bEa#)3&Loy1fF;n8Me*Q^icHmkXDvDM
z_RllE(+*=?=6@B#{#x$51^%BuSIo4~an%@bs{=-yhtl%#T!Lqy1dcwD<8FB{cTy0i
zj5d%Z67T=+xa+_r<4+TG*&M)W1Wh$~Zfx3@>0kQ?6>{BjtOOD<`_b)Nvoxy`)uhF}
zil+*Iv{z2$An}%%nkTmi%+jXR0r;M$_iMwyK;HP4Y0@1YC7|o#$K|2o)5=TTSKk`A
z9hf$nP&irNUn^9#DX4d-BjgyTO!eu*>!tN@1P>#Ba$H6W^azbpRbC3U)F;a!I
zq$+g>VA^(%!FMVZlQTf1!eIIrGpzqE-jqk>I&oY@K0`aQQ)XK2g6v!XggEphu}Yp5
z^RueOT=+r;tN!1ApzPpyQB_5m!H$&e`uq{9OV5;HfmhQ}DewV)E
zz|iC(6&uBG2wc3UX{h;IdsVG32*UOBdXMGGM@d|wnQ+8xaKt3qF
zocQ9QO9V{ICz@wgvG;Xu(Tu)}ceu-g=p4nYy1E8SE2N?xU<4O5h@ocbCnvSG?x<1`
zHNmRwW>_U;B96_3Md+><@CRk-QqvwWTHz(&9A-gty?VhX$D+fn_s`V6_$l{ygC6cT
zU6Qo=o^J3l(+HeU>VzU4=7H6(!K-bi7r_|pipV@%`oqh2+_9bwV}eZu>+iOY-ce?y
zbix|n>+yA*KKDkq&f~s(Lq$Po6Hba1b|_%I%{1vxQv!JLnN%exw#YjYSjmXbtjlKP
z>b{kA&GOxRxl?xNtQS6f;(5K#6K6fVJ5AUAMa-K&JtLLv_noa6+ThEMy8376YiW|k
zTzd?q)c!$s;QGieLUfaWH-33#?N3a$3GB{Xg}pv^%=*n&@=tzfUVg3U=_0K4u}p;R
z`$=?_i)*)Gq~$dnVdE1{yazS_0gN`YApjS0&7bi$XvblsaO1ykdik(fk@&wqPsr8Y
zFAgnnSW3$Iib~e^{5>Er@Cs@;y&B<&1o3pED&%>O+rr|>$!IvqA4NOjYl!n2La;ok
zRfM`O9&-P)#^mw&HJU4JoMqo%dy>8p;tFxH`pKs98e^=P5^Kb9E_fwi
ztB*x2R-A1H2L=EmsFV+gUe6pd43NoIEd+6@kxT>@R(Se>mYCf!@x`s5vYT%uFGl71
ziM$K0^2}#RP!Y8CkHu>OK7JA4FY71n;&|j&LUHzg`njGFl4Z9*C_6n9-YLUMEKZWA
zb74g&+ff>CNzT=fSVtm+@_e~QlXObf(e^5{m(M2h@d?yVskU#4WqDmm#EsM>)Ez6b12*vm~RrV8Ka*?K6?D?E1~`^kS?aWUd>kHzPs^f9buqB5c7qONny#N3(iMJ6gtDPQI>4belZH6C{z
zD)LZwqpVkB*XP~<{14y1<%&t3nq^#3E5KQK3-t;n7M?^d12J8CGI#BjMq3V20p5m#ypaz
zUFtc3FtH#&Ui@Pc#^cqCB?MPLPkgp5l
zXYK87&e2vX)Y(gor&OIBcZY{!`z1`VV3ES+26Dzew(2CpSkQR&QSUTh}A=j$u)Z<>xf#3IBS5~3l}RT&9?Euz5BBH8N8q0;i?;kpI_aF-um?UXM`{I
z-kuE5QD&5s*pJLnryyPTAT{AfWq6lp_7`8$o-#xdzw0XfH63RA*?-IkT$TUI^Q3HO
z^|ILC*hG&drrS@ioUTMV21q}n>b~lb=N@n@Y|Q@DP{Uj
zxFGNlAh{G4)CeZE3F!u5d6F>@GL!l>oqFA+dstP*U_7T-SC1zFnVtHiLk;1Q
zlgYLrx?08aXS|6y2A;RUk`KtoJMOa#9Wn-HHVp-^)F^DSE&ddBI!~>WY{-BDMBHsO
z9S=#1#TEb8DLXi$jmk(T6Zj6^^yz%r5YipCJ^=-q|6Y<&
zGdV_$ZW&4@$5D^)v()=MNcmmXW0%Vy)wl?AAOELSHu2Q=;*+_a4c5+&Swq`;)2Z&j
zQ-w+$hzJyG_%uNL)@Ub8cbeQq7?AtJe9KVm={C``)zjZ-8T`;Q5dSd8N!?Jq|GkZw
z#@>KwEWa%PsDJ?X6}USA%=?t0y$5xOtG*sq^Rrt=GM1h4#x#XebvIkrF|nCFG2K2-
zB3*kZC93yBpD}{mr_77+La2BX!E|Bp;SN}Pg=RYqanHk%57K^CB5iGj^##p(y30>4
zvgTWv2bwC|**?Nn6THN(?>JPmL+3hb_XYuh?F%U#JM(YyGXt&om0K{%XDhNZ_BH^3PLtF<9HdL!R*|5Y03SWp|+e7-}EV#{rGIK
zWFd$vm_lw&(p!M0z0RO|7y>IGpKnx&o?DFEX35=DvD)D~d*#)*(T=d2Idk;|EhX%a
za?VgjJB_WA`c4r5DyuF;V~g?wPfc2ZR`Q6D5!AW`Qfu=q4cRIKpF4t{Cv%oYYI_u~
zIB{`gJUyBoQ}{DhjI#VNJ-{@!r7_Jj93QI%v&kUK=LG265mZe(0XLW
z*WWYpO`8F$VteuQ=EGne`1*L&Y${)fc?pm04F&qs64p2BM#k(T$Jv#ULy8*4^r#m?
zf+8X0J;*tPHGpcQ?KO;df)#>K7;sN$`Hl85x=
zB1d;9ya5Ow%owFllvC<4H-}S_yuzyA*ndxD`7>Gl#;>RGKQET2(wjUTh
zy-61i(=Pu!RjW(3KW+0vOc2(=Cc^tq)z_s`>Tl}Fas>t0+3ZWZ;v}w@q}Hy?*>e=1
zm`gWKt5-92<1=!)m0`yKoKEX&I(FY$?%^?!LL8&?&;NaLmX>}y4yP}nBLPDuEf##~
zVHLu;dr;=DH@KCwvIX3|vKh(e!MrQ8(%buNfP)@bH~v69jRzC;(jqA^U&o;Z)T2gkwe4{apUi49U;xt
zi{0F@m38<9A#xuDhtSoAS$mv*OwZTW@250_i&TpH!@Fy2PuBFDaJQq+?|KZ+xFk1M
zwT?@)QrYI8=I1`(wmE=$uE4$apgF1(p
zHy7CNN7-N}r~>E@58P0VlY?YiH{UO7>>J7Cy)Tr~w0O#95+?2b83q
zU0px#t^E!ph9`?C(C0=^p6Gw=T9^OCRImD=oVw@va8gK1^zn7l&l^-xFw_D
zo#Hib5P@KsI%SlUonyE1H_AwV8WI!*8>jWl62Wha$qyyn$l7OtgO#mWN?^t579WJ>
zikH36@gXlFOxwUgUPzI#ay
z(-0z}g^Zy}GZpya)(DPN&o8j2QV6k?wJKrz^?fZ>RtVo#{_jPSA|{DFq#zijtGEKv
zR#1EBb@H>`bofV0)E_Ucnupg!-!bg8Lsi(MYLa}XA(9@{v3fnrUg0~)6Pm}5dSD8{
zjiAk*dP1h-`ZlimZ^|xEZ1>)niTf~{J$p$!{{r7dgZLu$^*9EX2Xob
z42Vw~ZLmN~3FpRZqcn-sc7KR839NyF5b&#%J>^GL63HE50v#O25@vI4s>`*T_KK}b
zO~DmglSgCq&n~-%B<&4k@FP?VDQTwvQJRa12Mjv`TN`0*OLNT#OLOR?ImGb;0L8Ah
zy)GMdYIagNkfOf>R(02Ubw;G@TEtRwg*H2K?lIkUF50
z5k)sPq*#Azs5htE9nfkn!F&KXkr)O4?5*1jQNx$t!rQ+sL1-(Y0*pRV_k<5Ao!{&D
z4#JlA&m-8FXzv-`lZ_aqOxF7szm%iKLvVD#hv|Yh*M@7NX=?)%f(FhJqQStB@o?8~
zR4JxrMm9OMpPH>Le}^A-=OrZ4vIg%#os&M#l+EUVGfBMki7N23cd64Lm%LA@M?YD=
z+#!IajxhnLQ)CpVt_=X2@qM+_)W~%`X!6i2ax+f
zo-kLtC#CgXopu)TV4}mH?0w^%&n=(H!rwyy1Sl>qmDNAwxij^I2bEt$m&{amxZ>%2
zsPe~3rY7uy%%7>Qy|XnVqz)M1a)U%+l30MB0&<{234SLcxPWZlKAG(XWaF!9pkPSOz@7U6a~j#2z=k?^)I
zz0XB-O{ir?Vn3_CfSK;=S>ylTgwRtArX$$jjPw*|wXR
zo>%T{{pbQfWG1PV1!&j$a+Ca|M^p8iylwo?z4Y^;&Y3|Yc{Rsi=K)ceBLJHmi1Z|W
zx@d>dj`L7qNt;sO*dak*7o?#f=V@a-B0Esq}t$luv&p3!(X79Q$N3--|
z5D%})jQjOo2&vpXelBA~
z%krO3u=~h)?PvGY>*itlSV}q?L%#|DalrAy4FP~z&=iQ+(a|_13>m7@m-_p1|OfD#iQQZ8f12aK7O5_%GHTK6Ep@o3qUoQCfxIgOVLvD=b;i7(
zO)A{*w`{N))RmNV46|yuXC17YN;WE}qxOaB
z7Fq1lg#oNwfWINV6KhP#QqD0m=GA-kGD&7NI;j`5i2fg
z$p-kAe1Z88*#lM#hxSVW5
zqb_B%uhGXhW`Z>MBW6g}_RR
zv}3jIim_jHNwRPiO6TsA*gqd=Q=uh#(@$*FT5|b1LhJX2AINU_zItkJ3$Wa|`mZZh
zojB0;+8w^8*0m3&7yC{)>q#dAfRlb}Q8Wols*
zcukS3XvEK^OS+wj4jz?PU(CO}H^65sZ~oHC>8T_bBa%eBB*lYr+tJD{i4~__ETk?)
z5*`W|vRcQFKoI>ffJ4ai2IP*3{0~D!0*J&9mc_z{NWAFz=a;xvrxto+jCtD4@y5;dIu-Fwsq$#arIt2m}%Q7{|8pvr_FTg~iS{=Gd`X?*hq
zBB8ow%Z=?U&==|9h1(a3=Rd_x3pV#2v%|G^w`6~oxbDo;l6dj9_Aeq!M52^J`8V^U
z3A@4M$`T2)@A&`2(z*CE`Tzg_+RV%hn+-G4Hm5lsq9}TAGiP$lDdiA_B%(snHlsP^
zd_JEkBuNsr%^?XPBs$EYLMo)v(bwm9`~3&k?RMR+*YkQkpU=nr-k9JursQZC|GX+A
z$r0Zs7(Ldj+{ZtVxcp4V7GS9uhrquXyO5iaPCB-9+isrxk*kD>VIaHFe8*k>d@#+17}9
ztmcsVV)1jUYY9!emy{+E;p$&&KkXP^J7M_4$CF0jn^3@~QnZ>4rAXYSDe{||g{aAI
zM=KKd)3{>gh8jQ#O4OUp5DpHzLD5pnNDp197W`RCXvG+5?DoPF?yowR?jwl=K;jgJ
zaPW~Evs3a*mnVndntyAiBkauU^mt?V%Awe0==G
z?8v;6S7M}U5iEUYqj>RCc<4>1WZHXL!DGKO#G|2uu>s*qXPy@qZxt@t2HLTMY;r8(
zXP$RtX4GUZ#v}y^P?%BVQDN^ZM(Q>hwsNJsJyOO)Oq;c5oF6YWj22e&W6IFk
z&xAxa6IKZC5yE+91_c{Q`y;tz*C+JW-7=44>s@@){
zv(X1Da@I4yU*gsu>IysL_WR)vs>OhP&pE2KZbqP@f{X3$&TQyykz*KBv57N^*cp!N
z4XUBR@mJMSRvE8)RSP&Vk)2J?TY{m}_0N*L@U|Yp7C-j65bl>t#Bn}Np&#h{a
z8ER$dlBy&Nf_4&!8sjYBxRG(5l0neZ`>XZsGSjy@=;Vn;&-3OV??k!6P!OgYkkKoB
zzT!k@RV!43R3sS-0GPaOH(lGUnYX{pbN~PWZ1JRBTn0mGy*_D?xzO@fL1loF_!JPt
z*)RdrA(8$GViM$MpWiuhGI+rY;liXG?y#>KARAb;K&y>Q*3xvVXwL7UJ1X!pA$AM#Um#ekfFNS>iYYb@Nxr8_5mM>)nLBAHVDZ=T
z)Wqe`k?;-Vs`IUX-{Qp(zPmk=wtQhPTUSCbo5_NM0NeOKByiz`${*%}QLiJzxyukm
z3rV80xd;IKcb<3rC$;`;8PWDheFz7-MV2GG<6IJsX0U&n+2BANP;0qxS;YW{g=*j+
zmgyqx{bW_t(p`$24@lapP#4D1+};adO(*Ah`vT?sLWc4>`|@6bwO%p(Ja*)OZPv_j
zs)!F?Fcd&LOi9u~KQg@k%2^IbB!T1x$ua<-
zhNl^9xsKKhMK9ZX?V$zShvYYaBnLtJ!g|+GkoKcapJU-b2p~Vmu<;t4b(E$B&L@`^
zVNX>lGb?es-=iTJ7fSa8=!;MA6rB>O8pc8m2-QH}k#x|tEg@U>s#r3FV6UY8LFoIE
z{)HB{r4-)oui_f@+?8EkE=MJhsTW5DU4frN^=iK2$+5ZOeKyM`&d02KmNG=
zwQ^#$Vcm?hu@pDy$;o+9bwrMH8fBD5kzA)s*;4RhJ3OUjE*?V#DV@*>>{SV&3mDRc
z+_@)(``*6Z%Myk3?s?{|nkm-_2DV%^06GBXkV<%}?mW>9FeQxHh@>g6(|xzd=v^U_
zK6h{bxM7Q;O^g3r1Blf_nTuo)!l){NR1AypTDT7z2$Dg9uOOIcBuGvNgk&?xOBK3U
zXN(?4blJCA*qxF=k&Ve40@3B+*C$13nv*=$H6F>Gs-}jMV>6Wz7)?1pWte1l>y%K3
zqSruxjhHKixSK;TM6CI0jVb?!j3t9G
zK9%f=+@U=nI1C~gn}Si?L!(z;9%x8yc_vdsk?rQnb#t+6q;w(|+XuR{Bn@)
zB_pKb7H=;TR}7va+rX8DB$W&W$u)pfW|*A*$APvKy8GGpF=BFC;DM?utgLw>`E
z3vfXqxdDx(5+)hwu)a=VnrsOd=PzzXWvROavDBzFV7gK&sP!L;i>F}xK@Vd=&h*FD2>U43O~lXs
zizRC3UiEk8eYCDj|Im5kmtjIpSO~gV{hQ?n9XL%9pr054fnSl8e82_C+|EB@^MlFc
zhN^`=u68TcfF|bzDRh3#yK{Jz3{cTNxmrdZ(cc}8dgS)}O;q|fkesSv9i{oCOBlv#
zE?%3UI7rC*Fh{AH66*~4WeTO8BeVVj7dAl)HWkCM7TA;DS9Q4tAOCICl{j~snE*7%Gd-i=;YK!Bg+FuK+(DzcNl$@rt
za&rT$`Ctwv3J~z&>#IGNyuNb!-P4|=MYZPDrGKF@36$@~b(C$U%JMZbHmeH>dDAjQ
z<}e7bFI4D9vW|!B3?1_Z=>40y0U5NmoGswVTk{jQdCo!GTI+SU%4^QhhE;pFq^bVk
zdCn&and>F`daNjP9~L6Zp>VWNF(fZK-bFfx4pV$DSaCd?!QKB2_M6vV+4mxX-So?~
z)x$)`ECf_{x0c$z>&$K0B=((D9aScsp=?v+QW<;xAT#J(A+6_nC`-9r_9s|TK_(I0
zc65MP@$R}{5Vs+M9dg4{2le132H5eG6z=@%&ur)!S;13gw4E_+<(P!o@XlF*75SSgJBI{vn8osn7vtcqZ~J^cqLZkTf1l
zHNeDYC{Dt@x=Feh5J1d5*rFP~y%reQTf-IiB7dkk{+B1%4SM8fvwF{+V_o
zLsXHH9-F0leV>`zmizDuEaJ1bGDPX@yNR{nH}a6mM21`g<@+{Q8yl}V2u3PlxIyD%
zj+6V|lA#YjQR76wu3SbV2;;>?`#UUpwmXR5rR@?;=$_)k6g8%Z>@or0hd5}f`xnI{
z%bX;rY?6UVoMPx6MQOj66m$a_+e(o`JX>d_&~0yuMFCbrC&iwbivwq*N+_~LB6$CT
zJS5u#ZLoWy9-HzULQG#@wUw@+eCpTt6{g|+c`9CDO7~eeDab@BH|?JTnh%o4kE_h=
zfW!gr8!YX?_fwzbbdY3sX|Jq~I__JUYHhmGUbdnwi}K@_!C8@Se*p$u2b4j@vQ(eT
z{`oH3L_xwJ${CE4;(gDYBzl&)m_a-AZu?@8cMLn`LVM93P=xiN#2bTbHMq;C(iaOE
z@@rH#iC(OWg1|Y)#_9c+rFE%|04k??fv=WB#RmSOV*%XX;Gs3td4j!@M6YJW%J4-n
z*#KLUJwCG@CUVr^rJW*EOoyuy#*^#gW<|c!8l(39%VM?PyY@lXp9{GP+Nw&T$U>M(
zi02E!qpI#+SH+oW3{R
zp5o;|wp6ZG-WP7HAu50TOBW4I_ay9HFg-5kCe=skgUfeQr1f!><<4~tnh>$S;r;1`
zHHYR64t6l*j0hsq~^2%&PQaYXYIDe)s
zK7%fU%r7dPFuS-bl2w6>aYBk6s=MsHI~g8EO&(O_1)wHmtr_k*j7S74hDu2Y&f-Gr~{%hka5TFX))
zyxbEj6y*6E^lKr<81ZcSLc!yX6x&drg%1Uo@f4rl$EXRFE6-2AR{gL4-b^VrQf;pD
z%llE#{Fso;n1y{84chZI12?AqhZiuKyD+>zUTmlDxeSXq*-gn{xVKU$zr=wOI;sic
z9F^8>#maqa;?W-yX&Zaot2^g2%515xeCHcXK>y2&Wt<#Wd^ff1!#n0KE<^rAHe4Bh
z=hIgi{iBQaqfLn##ms#3KoTt{{^yx!4b)J(b0TH>%{AJ`^74<_67r9%%x1hSyEE2K
zTfIG5@~N8kdG2_#UjUB9&@(zNmpUh63nI^qE7(W@CdcaVC^VF8N96%?Dn52C3!P^S_VuQT0#WXN!2IDtjeR!%&!1~w{@*2KRVPTGW3@%5
z^3krGAm@5}t6zW)CJ0qYlU0uPtlfdT-16p5Yz3j{1&N*o!19KlwFq#e4%prj<|vt5
z9H4_Zt(AL$+o@)(?DwfBvVw79yR02fBReMscT!0jD6<0=T7Bc+*-8V)AMz0&bI-Wd
zx!t|)+EaAl%!^xhl&#K224<-^WalLI6kjs!V~?2o`|TH_cK{tgpsrH-oUxo>|9#%L
z_T%J(x$6bJx=6rY&O~*>Lz&o^Sd@BP`KO?5fks`=o5UNJ_d880-u^!QsQl_qO-o9Q(zUF&NN8WO1ubwX!iG!X*;R*bIOK2wn(I%lnQUuu(IEe7a==#t-X$&2|(
zIHswn;`d-nW&Hk5Mh07Fr!pStNuOA(%_k1U=jhSqms3gDKWZs;kpdMrRhDe5AHF>G
z^chF}_OQhM8|`bG`vlXhk+v|xQgd2Q`xsM5et(0b>AT=HhPELb-
zM(w(yYfX?Y9NW7?wjD^FU|XW7p%^7`pV%VPYitfOKJ8dPpa6e10JC{jSCOjiA8n=e
za;de9wC-QCJatRCFIhDHmb>VC*Z|u#l`Z-(_1*F{c4*Szu37`cH!9ys}OHu?2Cn7((rz>HV)6&`K4<2IE6PBH<)`m=48
z1KC+N|EQipMV$4uGwB9`KRa$@R{dISmO1z5^@Q=atfO_f$P!TlgsT9;Kw|n&vLR$%
z7E^&wvDCjENS)iLnCwq~I^~;g^0eiFOW0DRt50g1wH0z)b%n(2*wt_67(nRKrMzuIATpmaiU8J9TwC=UUZ7EerlZvF=#kTj7pA|G3JBx
zQmdp|*9G5(_=Eg3-RI(|`Ih)K^05y%5j0hbY5^WrBz
zaO%hz{t}9gN#Mk5%E$%G-LM5x0SNK_3Qwbqjv$eACA`-g2>18`@Vqc+8Hg`3QB9aX
z5mGC+-h-USS{Rx8C*H%&%@}5(G`|V&(|`{s1B7Qn|8ikU}Gc)K1Ve0DRghBoWtxuhC3)M37^_
z$dge5rc9|!O`j?)(T#pB2qEDfBdefazfSHGtig4vZ=aM^!I9v)y?rkA1Wu^dN%QLTNz1vUZyL0w8CT;klpMpAn|gerGBYj-zsExdpRl|+x1gV
zm+f0BDr08q$?Z>EA58KJp-RI95(_73aGC=}l^nMIc@29D}D!iBotGq@5lQ%m`X3t8v{;(0~FX
zPijyk&;MImGmvri)WrHtc0;uX%2ih4zqE;*RvJ(ykgKEULn%Wwnm4oB2nh0vIAadt}b=qnOhT8_7=Zd4?
zp08eH?y)Ms;`M}R%D0?8YCdURz}|w2za&)+2~Xig?(nz1$F+~?1Po=hD)V<&e}e^q
zmRA{DG5z8VA?F_I)dyTp1@EenWi{l`lZk)o5ZiESa
zesWpL#-CCS1w=-1sFXHGnFNBEExQ+QEQfkLQ%NXqjc3!cf&fxg;LS!K+9Wy8A$^ia
zxqMw6b74MfY(b)bo25*v6t?4V5vaxswC#$d13TI{1sQHm`Cn(lI>o55{?Q~?)~=(L
z(ofWjKT`{22-|OCkTL9Dx%XKkY=4AIEjr8_#KtsgBVJBSLp0Fv!%M7~!YuU{tmQmn5%)*CB%|IrS23OG?6;Ds!
z^vXJ-F0K~WAfQ&fk$vze8gTh+hQDtauzSzKL=^O50bMqQPP-zVnR&Uo!qR?5HW>Wl
zr(6>CI37GlYFl7Pz1N)g=wWbL1!+13($~d2JBO0}u$7pIx;jq7L3QmUIZNuh#Pw#C
zmWp24Z5^0x7!GN|rsA4>1dDyKI|-uEhb%sOXjJW#d>Inm5|6m_pj-!{>$}bTGkYh0
zp9bqxxI>vnM@EwJn`cQ1g;G`>shA}hDschI!HvOz*c}aI^vJn$HWMPW$t)qd1B7H=
zpZCv`g6Mxzk7XuO{Zffyo`73m=)|S@_%C1n!*uY|B%s9h$Hc+n+=mha!d^2~!Uxtl
zP)zvziKQ%sg>Z+4Ot8XMbdO?~k7@bnR>HoskLwSC+|ZcpY(othz?E%U;~1Ev8yK0|
z`(tOv4SH%TfCm77UOnwus`v0>NbTl+F>148wy(dR5urXK;i+aog$#3EdQ64L1BiwT
z2YhH^BnUvRlqOS*cjW!^aaGTY$nG&JzO%c0WG2=DmJr3a?Q0k=(hE4V{a`I_oO1&BD>86vZt~6`G^idmqB9kBBG^CU!;Cn+JHW
zVs`zxI1khQF>_HifCM-)bjA>jBGiueAT@$-a(@%6M3;QL<8+G})@_p)rH#e0@#8(Q
z8Y)%vCLC3qc1G0yX2Q@ag4$cZ8Y(cY8Z^qrG=~#p&Z|~@l8T~<$A)0VS&CYW{C1AO
z4gABIOvUd3u7*_tR~DouXic#T&JGSFnY<~r!=)8ECBTCEnedlcg77QVPz4h;C#}TA#ZPAvg3V1&_vrg!u
zu1fca#%n&b2#8d!7Smd+3kiM^Ottg+9I)B&BJwNIZ&~|Fw#vRQGNdZPbj6M#Phi)&
z2m?tMMu-_S#o~ukXmzHJ976K4Yjxat#JP(b^%NFb4h&Nc_)>&xm9fOrs
zTVyrOVFmTHPGd_@A_A=U9dG=aGq=f+WF|_<^`dRJ%y$OJ6f+9OHsnPfRAIG2{jqCEsqkXU>IwN|p*GoO802N@mD}FcwKUDucSNLx~XpAF6gok$1nB40uF4`td&ECM{xw20Q_qg!pAMwzvobf3(yHv{dYfsmc7GR*&0vH^&I~GQORDTw(EzBU<64VV3)q$W)I~-sR>BmNHXE1LWW`}hb@(kjdnJ#qMK0TMTbc45D67(e8Bkr8_Tx|We!L=ojr}~
z2l%%&`h51hSb=T(U<}o(c4A#KN&xU1;602X#+Hi1>JpPtlUq*kS-QBb^_u=DL^?^r
zFI{38k2d!e8K^i(4x6;BdO2XJ4QbQSuRiendt|zBgx+IU5hP#^Q9bkCZ44fLVnA)K
zLKs|m?rMh=W?pbV9~SsdbRa8Cs8Vnkm~OwLh7yS6JF|2^*v_=Ity97E9R#gs0!4su
z0cT%{Io^o+*>WS~3Hv|Cd$A@~u>TY^0$-dMT@uw>#(bZS8w^Ry^M^Oi--^tKsDNOh&FQ+R=)IB;?6_lskf&J}C-f%i=c50cZlNf=MMSP9-Z0wa-flD1n|qkJMR
ztzUy_sp4c(9{4*0qe8{vr(nBhyF&+jKrbjDI!EQ7V*bHcaGpL_djb&N@(JVyojYHp
zDWNQ~B(|$9(e5LQtC@+%&^7k?BCq?L&V=LUjAa(5(KYCrTc~uI)EMj10D07Oq1IO>XZ8qzOYD{3ke>X0`
z&(a&tWc?1!v?At#e1x3nImz*89fmB9_G_Uxs{uce<&ZzfI`=vWa1cS8;Y<
z!kijJcPp(fyNcR#aM6(Hv3JG1uiAO9A#p*h?d;_fbst=uW>sD8sqDX;shEHM`PwPS
z1MiIOv^n}4;>o3$h10F6DTWuH?TP#47#!x0}GJ*3YM~Fmo#-e3ahN4`*mo3m6NdSUW7&zVF{%zx
zPNYo0%A7pu4g0W{~j4v~t4P0sOwq;#HSR1$J~Ks4;9aZ83m=RuQ0I?)>&Ke~Ub
zBVhfP+u9yL#`C~eN{NCBet7FvLIHrx`>Og4FFv+!DV2DRv!V%beBSZI{s2J{JoKL`
zzqVGDC^CHA3yzF6P_`Lr-gvUdg7sRRbF5fZ+qWvoT*a`mD?35BBc3eEY&!UrUy2hoeDvQx;SYycPx*2A=FDNN^K&GOW$>>X7;%$@idxhvcSaP%2gN%T`~);WQb>mQ!gW-3yl+aC$MsOLIv+UOHKV#Vh5a>5
z*3YVS0lm(D^X1BX3qHUlHhB5v-2J~h4X-W_!St=GJRskt0PgrEM@-B2n1#^G`gc%z
za{d6@*IkR4%>8!nK4Nij-RHE3KIr>0*`r
zdB{S#uv}(p-l?EGeui0YQ*wpK!so;|@Zp`AgG8X_S=vMYcAiiyM{Vg{V_cvsmWhNp
z57;)`y~K#0Y>ra5lPa1}y+;-&gQUy}BZm?dl53c86fr(fb9G@eh9?cHgs}Ow0}lu}
z6(Tb}hQ@SQor2Z((a+9xU*0W$5h(Z1C}MPUNGuYG#2a__^d@2Y>$4Or&A8K78Dex_
z@#PAZm?JNj*tU+$1l
z087_!z}(9|LY1*vH#_m5|qo$s1|0#^u)VNLp^;ISWV3923d?Krp&sZF;L
zISGP6@nQ~X^+faWBpA@-8NXl711p$h%|6=X{_w`S^3+HPLD_1;sC{|7#-{l2YmeYS
z8}reU`(Wj#`3D#v!}z-nD07pT)jmp<(pYmsUlk}yq$Ag_zvrRa+EjNw&ktzmy&Yp1
z}&nsQBmqnU)}_wDRd00Y96GsTL^
z#1FS$J1J?u?jd;PzblTJLVyDmMvOGhxkl{()}d_p(KZJ^pyW0L2t#C*hd-nV_-c>G
zDjiRdoR=C=t$O8YtKPz&FqJ*mkcrWZQQb-+U6^MG$%gfz9?LMfl_9~be~`uY=@Sn;
zQ2KFFJEV@UMqLilCXQPtX>13kWe$>3h1`p*6`?l(5NZn5qw8JDrPe&F$^u}w-K#1j
z^E_3zWE*9U$(!0j+lau6`P6R{ZBI2B>lM8y-`LxI7AQ$SC{Upx*mO_1JayAKQ9e0v
zXr&Q~8b;|FV>Ju5ze(gcsL?EFO)ck3w8s;aDw|GdDyEbc^=;Z1^bgMqwfe5_a*9zw
z)kyhJ&{(_@?dpYOCAyBUAR4f}A`du4am3M&($9yf%g1l;IA@_8
z8^@G}K>Q~d+o&-x!P{aVOx#zF&~JCyTPakzvPy&=8Grt_%jLv2x8~QQ|9N}cQBl^<
zT@D=yn36fZ?(>BGJ~4Sqr3Ei$v<=u2x_dk?7T$W~$4DsFK2m{)V%#|4rIs%RH@>JU
zeC1@9B_S~XdPU_cDxmVa1gCiXQ+J#KRA&aF;=K(X!RYC+ZQ1r3o;l7r_w;a-b1X#-
zUuQ1`3`ezwSsl!i)A%82-Rznp9UIz~4}ej}IO{?Kg=b?|^nwcKobdgpy6d=(Jne`s
zTepS)Ur=M+KA~6g$Uz7jr?YDV$3sf1%=lq9%{n4|n=2dmJkcIp5n1d$sGm$h%19-`
zLjnb8qfXkTW0hF??RaW?g`iqHLlo`B7K-o?RMQyRL5IZ`rycBU5QAD@x0s)n5q&pY
zFr-ox@Mn2nvoLV;Ngb1MNVc`^K!vTBpNKObBwpkLkCe9~M8mGB9|5HtDl@CeJMI!M~4xX_NjKQ^cWX~;0q_Z9F-u-s#ol_<*(N5*i*
zWlnCnHMHB-v5tz{Ha<}>6YMyAU`6%&d8_QRzbw=wbEqYNkC1VQkHG#4Dy9mbX!s`(
zesNh{h8Wy5Z+pQhxq_zN{k3*MSW}~QhA##1>+~%t!T|QBzP}?v#Xap
zZG)DAijq(y=zv)}U1)JK3D=!86KvjBC$h7WXYcAdv)=Wg)o7xYTDD%8e*S>T3yiQ`
ztRz><1w{5RO4q2XMD9V%!-EXtaicm0xwLt>1%D65O95+)HN_QnnkB4G!9B9aOY6bV8>M3+$n5+*nlcLJ2Q0~a(`eqPKj~6br1DS>_C+0YK&hY@0VS-
z@f$?6eI4l=(bkccza4+9|{_VvqH>PKiAgRH8?six2e`M`520;*p0LZ)tBtOg-
zsyi=?t?@~4IZZ(L&_zSQ|AG^+gd;D0HR0id+OJ^O^pi93K>%5{nH|PTYu3(q
z?4fdYUW`QA=*U)AgzxNim@o2@UvOkR`2>GKf~^SC!9PUOz#QzN0H8dWrJaf1c=0so
zcXYC}Q69QL!wzC0)NHLa63XPbchi
zh$b41Cb=NeF&1|uMu=+nMNM!sk@UzrcLA@3RTumX7~iKPrV5yT=vEF~qD
z(TAjPpicD1?-H#@$C-P`heT{;!twB3b9xRoX3XvkS+)u(5=Rg%cR-*|`z41H!VI(-
z9Mo3{x6oE06B-2Ld#NQ;5~3owBgHav$BB?xbW1io^8~U0lRUsOnP)w#p(4Yf-eeSw
zPY8G~X9NQz6$6aEX-SSlCj|b7gc&*bl$CEp4w7#;9
z3@%7Rptf{K%r4!GD`ZJOoxZaOphuiz;ByYXF(EAkB{xv(L_sM7ENRJE2U;jkWj8ZW63
zh(0|Ai6KKpHZqa(?uOJT4dGmkMw^iXRNbFwMXYpjHh(xOenB_(st9t;;OfuOFk^^1H2LjYNg9KjF1
zGTxkH?I;Og40Noi20T35`({^sNxg?+?vSDsnW+kBo*E
z&!FqusYa?2*_lx7!lHXg#p+C_yq72LuM|H@(z~Fanp-Hz2`YIUq_?A6;vj68y<&do
zeEy(n>AYlVLt}74z=;^W(z&G4aks)J+vYEWieFikX`OVA(JOoRgf!Mzy1G*KWGS|m
zl53Y)_QeX5J5ctmQT{Y0==;wU3Q!TKh0{^R%r5;rQ?B@;!GB5LY$Zx&rIf_I6FCpNYX->IwwL0v`_D
zyavU+k%|hMJw9(Fq#jMMCeqFdr;TGI3m6il}?+zySaCvj(Qs^4vRK)bpBSCi-*CJ%mF>7!o9
zs(cirASY8Ms?8?X9B2QehJEjb$Wx5snKq-3nswH#^}hRoN-2ZM$ndB>~GfXU)qoo~RYootqUP1=ei)^PlaNjB>=W1Ex3S?ZX6nuHm$-
zI;tIS9rkVaz8OU*mVY#qj-MjoF5?;^(l%F|&OJrbZ(_tq_vkb7zOuNO%Y|2D?+A(D
z^lUIUJv&8b<)O*dA7(qU9~|Fq=$sQoK}GJnR5le|4%Ix_WHeu2Xw!9YKC~dEi~h~+
z>V>YGA8l=KVj^t<85XfQLo(98T3I)diq;Pj0v|l_zk|N0sMn?qMJ1<90Ek59Pl-wD#?|
zSJ?CEW7)82k7Yv__g>W#-eO+f0S3yqKHYF&?Q9*xd5DaV``kKz223B48E
zy>+llP@RKJ>46$^bD~+DbIoibZ*K_CTb3t-z>GcREZpsxyUf!qk?({6)|_M3;k^eC
zfH}E$;etGcEl)1lPu%D=sp}}s?47CNB&5hl+2Z&%7;E(tW6=*&J8Z_?9w}@&u8M@N
z&2#mJF^Ami&n-2}2lpJ>=+~}HckMo4k>CGp@wk^pq>l#a$Yj+BjSlJJULkUqjy*J7
zJ#qA4?L*nYWKU=6w2YGNV>IGE^mnM!uNsyY>VWT{+|ppx_+7Q`!QL}bGnbpAaDlq<
zZA$R_#tW4A7cvgrPx4ostVDL)?ZbOs6JyVXJPaIa{d^IPjH)+u3@Qm0?0%J}^3G}h
zg`TWc?lo-VP1`c@PLjcF#E%Cz$6rvA^9HhqFB$6%NmjBu)^e^t=;zGd7DL>7uyS|k
zPjPoG#N4MBUfKIGw$F}GAn7ZkrQ26Lo`2Z!nGrYN=>D^PnSu^FB(o-DP<3x*=1CJ{
zO)4Jp-uA$7gso|v)9F9=_^%%5Aey@2Pc+qQfzsn=y3)f%8gC4bIsR;VCNy#I$NgEg
zQPYiEDFZj3!}mqCjjxA4I%8eKRFa?*A1l}up6+`f2p_Ro?)rXgXv12vf0Fm%n~L#B
zX`}ih_u|fWul)R`5jS|3H+*MOfA+X|>9B3ju2W^`!l6lZ;VB`Jd*S-y!oNmF6egD5
z_npuzEm5z?5$2K!u{M-pvCatlmFG3L`@;TC^>$5AEvNR+PHR`bnCn08WQ_YQGNbM_
zYO?v_OmXp>SX|cJaD%LS@}HT;=!u1tvh*`O<1eSQ9cNciFH21x-+0Z5zceI2_s9@e
zy0>_`Zhof8gj)W$?qzg@1Zm0wH7P%(*=5p}oi?ZFKW%#Z#(^6I{5|7AJG#98)mn&w!N?T3RilF96#qS?7mfvJDdT+Kew3+%n$E9S#
zR{l;@_DO!TJW1x=*z?6ulNWWFOIy+7$3&-nPGFR@PE4mMP!GSS#JvwKe*bn)=b6xQ
z(uogbp%%Tk_Tkj`?6vW0qg@UoA3Q#OIP>%!qj>TS_`_BC{-W+!h6UdNwYbeLr_|XD
zkV3CsUg)2Fblzm8*mv;@_hnA#PN=Dy<|oJZ3b7wb8H0iC%?-m1G~DZ!%g+N8pW4fH
zJB+T5ntm{vA4~jRb^Pg#`cnDT+ILAO-ux(BHK8uqhphCzIXV0y0<}@)+VX1npL~DF
zLZO!3dHGn+v`>!Fb1zqObioV_@Q3Y!&qATEj^jRlvHPqvdpy=IaQ*PiVWWyNUmWxB
zmxQVL%d2ig&)BY#bfZer_tLx8YaDJNK5!
zPkurhS**(E+Srv(puE}StD7lqJ9{JJ)?5F){p?#|Apc-}^|Sa{s*8A~zxTKAYFla#
z(K|h#kIa9n*;s4({jFE%L2mS?)9DzGFE57beqUoujy79yYKpq>diPn{B^cFcSr|`T~G}RJtS-)w9<#L;M_SgZ}ri4xa0`gH(
zbiak-T3@j4V85(A1bz|lYG&hP;yHDBFT~3>`)1h2jH>F_iVw+=#bve0o0~zCjYqTf
z)jdDi6x_6U(|2=yKn2ilpn*p8pV++kFTpkM_^a*km+Za0=307RDUK~-)XKIc?a6|p
zrRSBbyMJCq0
z-dQmqP9Ut3*r{jRDX5SW#>@Lt-C8+|>4FrL(SAL<-8PE5aX7=Wd!6=slp5Zj3RBeS
z{YJk%4-+S3ogwb{d~K(%Y
zE{7j7R{ucnPfZ2^qsL<#px0LKs1SSXM{Ab5Bb?W}injCwC4adzI@<77jIfIbw{F@u
z`foh$TV0Br-g)n8*E|8aDxlesH@kGb4&f}whbj22ej2$Jc=V!&C)Y`|uEjqX`2sGK
za!W~ikM(m{!9-5dO^7sens(}`LH?r_7h}!CH`G3T_RON@whey}!!g}06(T;_-5TuC
z9*z)@ih5v~bpD%)&7rQ93Ln`v-mQzZO9qr+p?`xKd;RZ5EgmY2Sm8IvNn}_7@J#A1
zIHE0=5O(rw?jix@3=jlQCH{P0xc
zdG2nuTjkEB7gDidJi!OI-z8aq=lZ=J&Ndt()gv%%@+j(qu;G0cp9U_DM39CO1G|fT
zOITCVLtmXNNT2J~v{$W1PI@=bc*I|a=~rv*q<%}%^KYA}%yHn^d5d3spv&WBUHO@I
zv6bRnt25=~#*@RL_$~aivmSFsY7T^X?>1_Zwfg7uAGcd`W(`*gEv_F)yDG8ZsBrz2
zi(8A*jeiwg5ha+vfaVfxzSt>u{Zi5QXxeeWy~18%`S7Xcb2ecDa?<6SNvGKw2`
zT9HBR!$afP6cF_1kYHg(h9_j6GUOn8&S5cB<<4G_lU5Qk7_>YGGNB=uw;N#pO7b2m
z2A(wxq)$o!h_FGBl#Y3@yjjBZk~m=BYu7Y+3cU_NIepKU4~ywL1#=iQ!R+V_l-Ar)
z{z$Vtyg`%nz0r6%sP~$hd6?ed_7Fw*tni^jeq&)$c)~y0pthhjnt3px3Vz{3spWg_
z-%N5y`oVhm-A;*!QCewe%=#XBL7WowPM#o
z;M*F1D_=
zmij-OTpuGqK_g4gj;Z<`>G;>z94PoiX3Wz4)N6nc&^mAsfr9)WS$7%NWZCVJ{mR&Mg`v=+%!wN=cnDHGykA3E>nDa
z=cGizONRMuhrcvmP|-bar%SODZeGHmmYf35LeY5qSpCZ3suR9;~^uASx
zG)<|+ePd#N;MQ2|ieX=#(B=K67Lm_!19SC%uC?YQX{t$kR6Z{dw?k;X9sQHgvepO)
z$n6Qmzhy}aK7_yQH!>8lCzJ@LM#F87sj56ML9myevE#>e{j
zzU02jGa*yG<2=(MaHQnmr~Z@%CgVH3|Eit3Qpi(hTZX*y(Q%2+Ht4%DuXTvzHCj`x+?ivukprA$;BAv_`lkDd+b#7&B~EOJE{sU?#`&^4>P{HfIpxd
z^GxUFFLoz)jab@sBS(%{sZydxA9*~on}3|1*c#^eU*M~hC$b}Z{w*
z^^Web%1O(oxZ!fr`R-D$$Jm}Nhm*XO(vLueJLl6>{`)7hSgO4m-nb#@|Jek2?a0R#
zrR(c0PpgH8KA--=GExaXkm$Vogl{dD(PiV#!_{+1UaQpYMCF69i?1v8tUkd&78{?=
zzey*_o)Hic@O1hPDr*iAcz)|e%FgRMz11q;e)7u@2~j)~Mp_Bq4N0vIKZtn(y7a>g
z|BK>=#w_-mT<_yP|M`|oEj?4})?|9q>I6C$pFe(k<~j1x!)xbPd}WWvU&Bl$&ZTWzgsbvKdsoVS3f`hb*D&Vdo6PeKKo*4?}O~c
z@|}O`u8%MMu&`VEono1;h&s6Z)6EI^di})T?Xb(gUmslBe{6Z@MakvAmQT2F%O?(g
zzB~B$_v&SnHcQZ4y=^iBWRAUa3<{v2&?qc963SRe4FP}v6c<+?)?OFOm|_yJsV9kC
z@ocO>R|5gXutRahqM#g0SJa`7L}A3VrJW`+tiy3q{?&h6nS^i%kep`MgG2jQ+n~74
zB&S7_*=UD>{xKLwx%EfDl(O&xE;z+PyoS3Jv1cH@?C8f?#IIRA#y^*{Ge#F5)Rnf<
zB_Q;8tqlDuxQ$umkya*^xsG5;`3;HeNCbFc5Dc`K{2AnFFK@mf3FFwi-Uv|&2LcA^
zdxP}A1meN^6&U(DU3`d>nUe0IGh?An4otIUf<6{dtQ#U~TJM&Ym7A#WQb4vn^rNxX
zz$nOThc2BwY-Y@WHxb;HhTj4-T#FJUoMM$cd^8ps#ZILYnejxJT@T$a1O%{@x0kIW
z3E48@sdQryq=x`A1_BdCj;f}G?9hWb0C230oiWsjM163>=4=-)LX+ak*&!oS%0Jt9
zCRoRrKQ<#nPp&_!vQe%`mL<-2CTe&%QYlN0;bqV0u--xd(lmZC>g}xCef?uaIMJ-
zUnv1)55ma|e-3Vp1ulVsE4mKjyhwO50f+^FTmZ=exJo&VIDm^qK_G1GydC0P5nQ>H
z@e7kVu~d32RX7&((j8Q9Iw))m66D;K2?y-LDe%}E`V7Z4DDqX8BNIFLdS_C|8)U}@
zI1sQ%?&MmZ(-orAwmWCxl`2>YLIF-&4NsR2hMc|@B9_cK^=i-tl(Gi}^bDNKema0Q3!TK+lOL9xp~I|wO^_hq{JY^PG(ifWTr)7Gw9dTa@VGR4Uq%`X2dq8-$}cCnQ&1va2EEMmYAX(
z_L$MMc&1hLOyRHNAKqDn%&bTe13g8;Si9+*p5d6h;8rJNN0RI}7mbUvW(H0M1~WX9
zQ+yw0jb#RfwOj>cp6Myg;ftP`9K3crdU9@jV)lpy$?n^%oR%vObH@6CyMuxIuRl)-
z!!FK$=Y&gLT>j3uK5&xlc2OLj@z8QWC6b8UbKcqGmLk*WaEj9d&c?cnwv5M@z2`3~
zJ-j^Jy_M#R|F|8#$o#Jm1o80f{WGhZ?Hcj-`69vHoXB2f(MCL9CnTdPEbxG!Ey
z9J_jP@oW^`kn}%xSdaD6hVZHyKJ*=xpPuFuT_8;rm
zz)N9x1|0U|LnrbLBfzEU1=q)~{vUgIu7OWXAZ%gO7$Y}ZN2)jcrk1NdP-$`6>A9Ng
z&AHqEvxm2H`(4r;ijKZUl2f@mV(n5|x%Jj&3r}gi_s_Vy<=ISWkFJ!u+qN>uGAK`U
zDXHZVOG27DM(sELFJtNI(d!l)c1yQ4e#gGIYil-DtiW@>=S;tZ_M1BX`;v-b)MULF
z#nb0BtjcRlzE?Z;^?WW;k=s^YSX^FTBM3$E9Y5C-a!2>F+kboy?*I5CRiSaP7t*ACI;f9qMPdMC8Jrs>GHCBK^%K{b2?qO
z+Iy7=Q<7W1qOt1TkYn_|DZ~YvbUl#i7=$>PZ>ua3ltr}ZT`$H*L`>&dR~akisuyq3
zvqF8x0<(1AZYq_;cI+v~1r?i+${km4tQDAo1>Rjf;S)ZXcKyLvXn|JHOJ$boFV);!
zij8^%F<@tTkUz%VS2B-p@`mCS3nz{}EZH4LQ~!mfqy4qC2?{`__QBXYtW|#Gb}Rqq
zxDm4h7TrBaG-GS(rvJTgxs2}B=9Ui5JR((a@G48I$dfWzkgL
zqv^Z-&&+-S>@>b5__v0t|58ugWCsO1j29mefP6SM)1I*I5RcNhr-keL3x5l)S5u*(oivOl-
zOf?XU@uSMZ2bZ*V8*Hg_Ix5v`Z@$MiO`Lg;j%~#Qb-E~o5f##E2wKuQF5-udr
zo|&x*mS&Qh@oM8%iU_Sf&^mrnNB<zIFv`lw41G;oj#`gGMxqkuk&(J$kH;pukp`hicUlcfi
zqVl{`80Cj=$bF+WNlB>UaPMeS9Z-pNIUO~C
zZb=z!M9V5)e63>zwkTxJX(^>gIiQfY6;Wmx5qX4qmqTX}7~AOSoS*cfxE8|(>(rqr
zHCKe-;eo4k&1cMXhil$@w)Nr>0(70hV6l^BW2d)16<^YvEHFpryNIsGJoG1`B{{_-
zZzxZ*gYt-M_hX;752m+W*
zxBrbqUH-3k`B)>44~PPb0LENL0L%gHus&4i{O*t*FvUaSG?uj3OD1Bbg=lUbd1w5*
zA~N2dFTS%vD6hfYMqI=R(NKNZZxp>pK?1z1XwLD6m6v1@E1FSJzFvb@KjxU65>iLl
zlC!a;IlITw#AY#X@faP1!{&-07^e;d^}8adLgruAH|{3AS10=9HT%wm6Ei4d*_Vdv
z_Y+2yh$%CT)(>6_Y{Cutfnaf97Wj;4ypZ0sH@27L)l~}SzK@=(&5Cumtaod!hUYJ*p
zA49pRl0mfxUa;kF44o
z=a2R{@*BQCI0?ylB6Nw&IJ~bndSxIasi=mbXof>ukOon?)^$_Go$^}TqNze3Fxd^D
zc9+f=T=^73P4iqf*rev-)s(kE0%Dro$26`Qp9>r_+)Lwt1mb^8pbFmokt5GP3yD`U
z>|;QHQM_%rOpcO-`F(37F=6ws-T>Z%YN{P4a
zgC41Da-h~yx^M#fos{H@JpWiRw
zAJ{(xIWbY!MaK`TTw05{Au>I30el&`SpWl~Po3aQaMB9MP`;qk+@GTFVg;8@Y^5Z>
zay@`65@29Pu^4j}p+XYBYx;bwIjzWbnF>uoAt3yL2+tmET@l^XvykQapZC?RTUj5>
z^<;w6;A_|B#J@r(r4_mVJA7ukGfrWX3=y-%(5M&&-Cd6RBYaN`)$%zPEt%Q$~lhsR&J!)uN#Vu)=KNN0DQ=5z0OOMfWpdU!MHjbe6c4ODgE^Ng+dz=6=Z
z%x5Z@%KdBnV@LtzpNjbl%;<@SJQbh*%F=b}DK*De&+;u1q)0lk6f4@39L?rpW$4k$Z*d0
zR@-H+e(YKI5eI5Vilj@dqKmS`D7`2DA{U4{M71DI2M>TU>zavNK)P37m&K8H-uY$yx>fenGxV`Bva8Ih5P4q%M&wVs%h>Q$*n+*V5{;0g{5ST9~IEeTg5kv6~5nScw$eL#V{4*Fr9=ol{)jKoH5ZgH)Oz^%|wnu3>9qh-))`I14}C8H}}
zjFruR&~QppzFU=g7oJ0@5o*H^f@0_raT@1j=fZ96a|^(=aBB($f-`DqLmI1Hs(fA}
zcmu~PR;nd;ak(=~J?MhyYP=m3dNZQNkC+}NC`#~=e?KZq?R4{`*afkn7Rb~u5iwQQ
z>HLG0_=2lNo0ZxrhbzINSwsa{b-}d90Y@bTu-Fj(c5{v^ZHsEq*SiMk6pR=M)RJtp
zOUZ9~QOEbCL5Yhd90y%JcNJhCH}*Mg?9rIMXAvHW=6>7oS0pT!MKObMts{VwV%PNF
zRVDc<)Xq^W4_-FOe{Ou7XMY7&caN31U($4_{;Cn9iJxj$X)0PKmfCkcfUqfB8PZg$
zu2%lU#ZoS93a4LNZe7uByS*TLuCN)d3(DU-_0#C0cXIKxaD$hd_$A3)k98Bmrb&Qx
z#Wt?6=e^85^_r|>0xw+k9+@W34Wm378ujiZ9ujCC&PP(ii-X-pZmY
zzc=+IhkJO6i@BL<7JD??-M#!B*}M^X>vcOm*S9cj-WGc5;-yFrkcJ3ak{o4lYvj4$
zrP#3B;kB02xBqd=xQhjg{q)!QdIL8QoK3i)o!2&*Xg$pB#jAe7geVxgo4TTslvp14
zG^O33?#9`JIYIwsfexggqMvw24Kj)i^#te?c1KgHUDM>LMjeQ6hFk7fJ{?y{|jak10b7p;rOo1XjCr4`qDom@o9hj?(S8Fy^AiU3lQh*i0wAiWt7MXuEfU
zem7AS+bLo91&>PzB$Bv_p2w}1OG=?9JdyJ*ON=
z6d$WO3Gf2enH;?|
zGv!Y3SMErY1S>FSqUhbwakmHMBIJvTsfFL}9f@L_G_g^SFZ0V~c1H$CN?sQ^=tqWS
zB@IUSB$l_VNh)8+XWd<|vR`ya;!TwL)^qy#iG{Px8lMN6q(;NW+YSYeqHq=6vD{#}
zc3#{GpEhVmPir|>kF~=kYx+>rh0z4t$H{$TBOvMlOc-5yPCp9elM55Bs5f~M_Tr>%
zbBhmm9FIVIY3=U}aQlSLL@(h_Qx3S}r^bZoYO_X5FSCTc{|a@jJekv*4I+hr`}^2D
z;{cgQI&kzDQ0_^31l61D`8_GIn)607z199HM~6zS?GgOh+Twl*EF-{QTrF0n~aXIzS7T*(jNF3lEL)KkEZ3skOX&uBJ3Ww|_fv=22_
zJ~0xg+G0AZ%c0SD+_ZQ4x@Vp$m-LdgP=jTb_MSxmmY2TIg#ZA7D0sMSJCsWCBHLQ*
zhHF^Cjb+Sx*FBObWR$Qn0)nkh#8%n{zPA
z4dH5`6tHdCrNS`npJ0nAusRcLKf*nOK{>Vx7}ca|0T;3#1b_MdJV%6f#^Zj>#7yB|
zA+Eno6N>_`wr2-yN9E*THD#6oyDuMNxT)CxDZsb`6zq%-3hEDY1>im;s1z2pGTAGL
zd;OXRC|gEGF<%Ot7RX_6T6$5pU!9vOURrj2QZ?Ko2g)QEM@s<+Hw+AdfpZRv9mvoq
z)K#89BS|vIJT_ug1SZHY7=lKr6J08#mcG3{D?zwfZr*)1WWMn4xnC=@kd;;WI9LD~
zhQmMCXdDk^uM^H7S-1Z^>P>-DN|k`yX9=IJyVVnBuO-!Z~xf
z-jKEG>r>O$S3?4Pe+9DdjK7o)toDedh2_4rCnZ5$5G`!3M}9*!OR$9FFdP?P>GTNF
z&$ZqJHBlGnvPIpZ_`Q}|NB^7mJ_uV{c)xMt_=C)WO?kpwZMn>&yqR-+<)pSjj;LL}
zJn8LUPg6&2c_2Da(8+w5E9&a`?h$S(4MI&ito^3O(?h5Gc8mJ#zX1Qq*Uc>tTI)^6
z>K%qIQMm4zpi<3G!JJ+r7Cg530NrK4H5Voj=HP`L7v476f^pMhAs(?Xg@3F6{S%1c
zX1k5Y!dv&3wsyJw>W6W!3Eq#q+EzF#DRwpj6Btw)
z0!YT5NNK%?H2rR<@k^p?-&*GqD6`G}M=u)p8EBhGeaOWr7l_otN64rYG%N_a6UCk@
z<`&+a8(+G!TX>MH@@@FHSo`m3kNf)Sbr*k435)FEsLz!jJ^TLj54fExDOMm!hVTB=
znL*i=X7dq+?QH;5^MtJq?n22upc=^uL$*;mzyF&p}JK{C|I$%(q@0
zEq8{8-uN5yJC5b1GJ3$hmC$L#k%=ZtkAAS0ew}x*GdR~5(b@<`J3XBVE!JlC?;(e>O9+d&+E?`YR
zEeVhAA3Vg!*^RDs>C($aSCt>bYZZE*XWeZ#U%E{Yawfzn-dSi4H+ndCD$eS!tD>ek
zNvhLZq0n?AXKj{GVs~vW=9XcU4kE7101RpXXw@oMuHF0
zwX03X^cbZJ`L)iRUCGS*AI%*n4uwUrhDV
zV9eqvu~6~JD505RIi{a3kEN5fHLuS~aYKnN12_k&UDH%jlVt7#z{z`LM>|W;bBi}7
zQo|a55{&FRnr?;aso%aq)pnX~p@B0!GBlc(sV0g-czL_Rt^$}`Fii)30C?8DwX-Tf
z6gOG@>B`}G;Jnh@yQ6nT7WtudV*A)KEf{kDZVs2ST3=Rc2R;KMjE~P*12*e;ihHmu
z9=)Dr8ehMkd`TF!hd;Tt`bAEhMdy*neLE8MRh=qbvSNq!q+h|7xou>^3ddx)R#zx|
z!a-oU*)vfHA^Tf|rU;;Bm;ceMSB9VB!SUmF>?@7mrQfB`hUlDmclAKDJF_~sV0ABY
zd%8`kGpze_;jKjqmCsOB;fhWQ5b44&pI*~Vjk*zB``_y`60=tyM01B1=cGNnd@$?a
z?AGXIQJl7!3M51PSQ}N8L#(e!oe=7n;!La14p0&xhL!B5Y%BGH
z4{w}bqwBtG$KPkna-mu7(+bKTbZ#gc%RBR>>*4eMeBkj#^>1@DZ-zHXKtTegF4)2N
zxnk#?pzx+rwC9m(&NaoK_O&Ua1Fd@9yUY_^^Cf#>LSJ*WPr3cE59)f{?$92m^w>x2
zkRll;cRZH{EYReSmge~lfdOxEyXs3{v8^9kRFsB*Xnbd$8P}WjV;he}j$sr=
zx0lG|k=zwNN2=j_SBPy#J=?#QN7fh%Q!{=j?@Ll#nsRU_%&VL8#h)LFV2NwodGyDw
zq2!_B81lYSd;0WfW+6d&k1QnmPl8aY{ka;QKBClMvP^q%&`^)xQ_aWk+$weuyk^yv
zTB;sBnRP|uoqgTOJbsZgmiZ2$=G*!ICgkn&_=Nxr
zuvH|WqiYnIP4aRg@ii)b299xeG^!F6WL|8}JpI+wT5oHu9`I0ku2nJA!%Y8%KQRKP
zNnU|_J$Q@fR~JotVq?H2OzOGCqgbS&COhj>zG~mQ|NYTdvecLeOpYv-S5~<%)c$*E*XI9>=m<Z1Ilo$(d?_j-ls}r5u34!TU=T{
zGZsdSj;HIPTvw4|b>iapZmS?Kj1EnBYl^n3|Vy
zr5rRpsV*JZ3^N(5D<2iSK0l&CUU5$Om_^Qw5`G%@CcEGTcg040udY1+5s%)3$)Mz>
zxqbHL2{+XZZa17B3wHaeoxPxyqb8T&6lH1k0401i*^GNy$2z1xLkTB0*C=F_n}UKX
zO)pGf9m}u3oU!wRLsHI~N2j80zU2N1`gH6pOg5Q+&^yk;OAn5$7yfq@sfj-wD%M1tMOt3Rk@=Bb)rhQblWb1PC6f;
zx!?G_fJaYpJ9qV8d|rE3>VqKG|IEgjndoVo(Y;SY(cj@^{QMm)!-Ax@e(BHm37)0}T+Eg1<9Iv2cz3?+}3E@{Afd6eX@__wQH!DBsR|
z?lF~suBVCfDQ7Lpk8kt9yoCDsTrsOht<%r8$he{z{E964A5?s*Vo$9|Svc)-Hane6
zgvs^2l3Gg%DXA202ukA$4d{wKJ)&}8K*8MQIX59{oLVVal5BdZD7-ewi@XYLe=Gzn
zkTtwChl)tI&$&$pm1dkwo^-pC*>e7h_X|X9FI(;(UUu9@TVbT(0UVG3P`qmUMsnm_
z8becu3zNKfyYofa9vZ=`(PMH>^s-dCk-($RZW^7cJSPS$#?IX-96kDK`NrOTlY?=V
z%ukvgg5C&XIIvm*Het@HP|G010}#cr4JO~j%~*y+>@%k9i?nMIKn2oK?q)VRFX~Jl
z3oQb7zj@kBd=%2WOU?!_-9YYT^Y}mFZMjS6q#YraFgF`D@>NH{LLNz|__{G9eaZ}oy}_h_
z7Z;(atg6dM5vg_QPn}nc2-xfe#F14C!^(zAA6ciHs^8cT5N7G7L#z%VUfv;WFOPW|
zg{FbHYiSO#j$+xwB6PeTwA(gI2+2xVpJAropOP-Tw`$traNs%0yfME}P*$9V4I
zs^9*4!jM*H*5VXQ?fEE64H;4TK#APfhIgP~_8mHx=v
z0HjbIOhDE_t?M1sm&I$7Ozd7wWp{SiODWhmsw1z4sAjq&iwOmOXwmQJask&vj~e*i
zPiMF84iEo1+;-k!)SNG`B9q%e$PvqOAtOj_*-{-s39bX+`}c+#3`-D>({rr>zl5LY
z3mk-!;i`H^7&Xv^A!cqn&!^nS!^sY`o2Cr+iIP&MH;n4_C;fv7(zAfmKG_kNN_8p4
ztT84_nlWs@?Pk(Zsq{?SAeQ(y=Hhe^g!(8zyglf1l4qxF`sq1Z+D0
zOK`;2+b~G>CC2=-I@eT5`Fbo`aQW#Ri_KT8iwJ3;9qu0O*cHyHZAh=
zz!eP6xpqF3<1(01Z=(nS%PU!$_
zm=;9_*dOE*Hqt;qI;S8OX9|V;9)H^tjNq{u>XhEf8j^WE*I~kP*2^xU84=#ZWkHTAK5a>nq80=4vy(k9HZd4Y2UI@5EZiHH73
z*gkH#We}upbd6mTlD_w~%Y`wf*G^ZR&9MUk&KNDNDJhQ-F-r(=fIdZ4>+xpvQ2mDy
zs>ET9(g8hVI=YRjj9`4`oqrlKdv?N3_!lN^=mjQHYNsLnGOYB0vksZHe<(o8jRx=txwiUjgml5(EaLA$ZoA86w+fV3?J
zjMB{)DErL+_Onlj*f+gIJI=-)zsr0hJblZk#iysr!Ie*u{@0LSOKsNJJHH3o7{D^2
z0P<6yLsK9nRhH@|&6^3``>SAx>b|+0m*`WXF$z{gbl+`}^iikNTv^=B5M}S@jD`C9
z*z801%MLy?$s7BXkDHV&kSckCjA&k|7>_*1F1TpA_i2QG?4lmRAg}1~?=$6Iuk#3Q
z`8|C!C1aX`D$B~9bz+N}tJWl%Oce{K9Vip&>YE@27RqcoD*4jz{T{~c^9dQlyz_ci
z`)q-r?1_qTaoEGW!PxXHLQr0}Umif$Fou{-L0m}zj45!xxABT#I)=>o0|^9x{F(5(
z#=u6ZI8DLWx4$2JG!MLF0eMGYNjj-o*yp_)UVGCM%y;wT5X3tyFkSw*UA4NJr4v%o
z^HE~n>NF1>Lk>z?UhrPv{QA=@c_9xnQ+;=rF9kB^*BBG=y0X3+#v4nGU=j;(`EZKQGfaS0SCtMJGZSBa?p(%^Jisbolk>@Ud!%jv$8abNB;KU19
zGy@h2Xewupdg!p3p-G5077#_EwGxhoF$TXoTmI0Z;n1h&7JSK5Z3RweY{I$5N3DAOsv*(3c<5&J_(Yo<&tAD{R~-emygjev3n
z^iVnjja!SkC$q484%1Eo_^FPu=k#dAJ!@fm;+xbqk<(52jn;YEn}p)_cfW;^;5N$Q
zGKH6f094{utG5u{Q^h9r|Lr%q+x1vFB4|lb{pL)@E~M4~sz^CyNkSEW|H$?TDGgq|!{dI!J)85*dGf<^ucB+-Rmq!v6k?yZs?9|S{?2w$KdJ(7Zc#ElYoH%ll76EJ
zem@6YEz_k~&$(-pF3G&ch@d@-omg}@%G`PlX2DiZxJATBaZejjW=
zrej{bmf!-E8(|C3Df=1-8K5);LX1^Uv-Ki-W4*$mk#Wwu+0(_$IhTVN+jIdUE9HMe
zE|82k3u*WSO=ui?vmsjW@qSI5YW7FN9sq1i;XH>do7QwO_TtWn#(k&?8{&XD&VhIP
zw;r2a$u!CZTfdTv6zO~SP_e76A^H)YM+p*zqB2;J0iUMqH0*KRv;AjAs-AqW=ReaI
zWX-uxbO?17q6)yphe&g5%dY31-rwDfVa_!W-5!ShCWtfWIkZfi&4pmeG*uELPegIV
zvpK&ac&Ko{Kota_K_UQiASJ~^AmSn0;(UaUjHX`%`w(&l8@yg$-%(d$5{~CW81b-yg
z34I*@^L_NZeFP+lO8T9iGf^s+kAgw+8CcQp`|ct>&wY8MLY6LON3kP6&a(m@`?iS&Xmp2QCe9KffgAUntK3q{8~J1=X7ykwL+nUv{@#t?5f=-2^RGdJsSqvr2fNae`0+mP
z1zveVT9y=E+TvWDHS5rTegOM|j{}@7-sc7E6#w~>{;B?GJQywg$N0D=T|5q*k`0
z_cDgh$QurlOh(iCK|dHL>;Q2YccgqsfE{1D99-NpT<5W{pYh7jNgzC44B!1A!I}s0
zp`A6$GP&t_!I=24!kKT$-L;WTyRf+P@sxw6EWO9LC
zhA><_ETo?xeP-x01eN44Js=ulTs|dea18`Rv6Aahn#gt+zw(TqaxlE-1v#eh3F8Qr
z<{QoTBCjM5ybL>j-P7i|1ep;hhfmtW+SEH;prwhQV65aF*IJR3Jg)pi(nI)+kKB7P
zpS==tK7o5g{m#qCOf+-0
z``D@3>+|6bh{wFm{k-Hth~1kckGg_ga1HE`lmiI35CVl@CBrB@^R`M<9`-dkxws?b
zx^Nmy+8)cvxgFHYBFcho!IjJ1&{r4qf}AJ%q?vY9p70tyX_UYNdGIdXi#oF~BVvgz
zwA1(y2*oPP_T{Axy1oQa
zmHREsDQS)jP$GHy4itt@9-SHY?b@xi7LHu-6@ILEQ9V_-Ka{%GwXeN?Bp73Mx07Mo
zZDG1)WOx2d4niPr3MJ%v(M6xfF~e(K-VXFp8Mu%?CGMg+F_-vbO9?*i5E6|J37x%>
zv^8mVcxKD+`a_Z`GJyI+TVe$appzT&Y{UouRg;7jREDxNlemu8xz1bXprmV#{=o|c
zFU2zd98@X46L)`Nd0+{AfL3nGZ0Zqx4&$eAyjToXmr7)5M1j(o7aZgU@d)tQv(>qK
zEvf-MwAQCkz=aU#8YRz=SB;}fCCG7;DBzb(U!|vDZK;O5Q$Q6B4UrsHFd|vwrvkZU
zp-+zi$;(=$)Lgi(B1tyRTlh~KN_iK?8$cQ?IU1O%u)s!E*FePuYSZol6!*}=!|~FJ
zGG%k==Zr4YPa?e8LDn#7Kg5zm-EgWhP^TQ}eH8&B^N<(p+4&8te&HxNLqg0$5Qt*xHs)6;19VTZkTRaCQ5U{9uGp8?+i!x#cg
zZw|Y(&=vfua7bAIipglt44(>eC{l!?lXv?y+*h*x)ymQGNl;QoM|ty?rN!Mse&43R
zBfG8;L2jM=mn+J0hG0OWJTQ|nSEsw#OILV<_78%D$qfzih-sQ=AC|{=
zKg@As-;KGOaQo8VQ?7kqZ2Q)gxDDg2mDhKfDj9@eVyq;m_MPPn9TemoU*mUca&zU^
zku?I_#7Kh{?Oh62PY+Ccq20)LQ%HajJLn6o_prrhYfz8(i-_uE;AT~^Rrr7
z5#6|Q)x=8px~ZJcxdy(l1vbwyg$(m#PBeO#U?v3S4c!Nqv{y~SPvAALG_1gbm*GaN
zxF-yD0*YIL2TxOCme23`7_F>dNB_0o0V}~olGz{xmdzJLal)A+_4UvY8**NrueTu3K^{>F0s-XF
zRb5Hc;AIU~%1*2b!%m}iJ@$FbE
zSr!{jJ(^IJdJ-n!jfL`~s9abQ!qPvAPv{$>$b1SClP4@hq-
z5fTh3O^Y`g$_*m1^O|_4ynu5Tk#b&*B}bB0jsr_@I#6Xeq~LV#z*U*Iz0Xka)`w@;
zm_vdEgwf0+=c4t(^SX>0ypSFxW(;}Oe_yC~2b!UT0(
zLciv2z-TA*KniH-m#plcb(B4{J|fvbl|;*N;fqF8p=H^!zo>Ri{WxiTH1`A!0kEY;
zD?aU33NLxfZx!Q#m1fSg{Fmir3)|g@%&RETWhIAnT
zyGcEtjf-ARm8OjEgdF$B%oDT7+*SV}j*?bB*rNP#Mrwt^oB8ros<`wseCdMI{xe>+
zH2sS?GQSSXc4S{wos$){Zk-wx&0%l>l#^SyC%yd<7-_sQ2yTFu=4I$OSm|_uq$
z6jQ)nFDDO8NXizF>GQ;C
zG9FZc1c@%19H^Bz7*IN@%q}~;5AxqzeFwtw$Wyo`p7WsuWNOppzh!xNZoKMZNN>~z
zg*UhwZ@7i>*a|A&Sz30N_BzZFq>85T1kkZzetgIa=zE-(D^y2)i08sV)(pE}IlRoU
z=oMEo-ff
zn5QgGHx#BTvuMK9{^>FQ`oh4aF-??5J(Uh99$#0J3nFt_mg0y#N
zZH@zp1E5<11Y&M~TUJ*12#p~*C{=0a{nt%6irC~*BuJ9?RwPS}Qn}12%@?U6Jz?p&
zYGeT6-VF-fdm`+b+w_=
z`pY7#98wl^C~8yOfZElD)1N^!?e_Dc*`Q=V${SRJ=2By--^mzi;(sI2f)gXBKH0+Y
zIJgS&4$LbOv_KGGfv4yKO>?0+PoBWBhXEnu+QW0y;xUd+TEp*6%|eYI)_E>$D38|1
z9S5_Q0IU#O8M2fnY)(D>;pL~#%(768OC5PC=^--#B&l5rqKhpXh2z2WzYB0#mhM+r
z5H!jSr_~|KU7WYcH)`he_WwuMy@xaT$NvMrH#0NL<}_#9oP`i_Zku6_A<41k
zkW$$`o{A6NzAqYz{&nLKK2@TnR^E>$f}sB
zB1k7s#V0}zY16#lmEEw=IFUW8ly0X40K$tE5y@%`iH!>Zxz3X0sXH`;0f1V3^3~#?
znNz4(@t5ft4t(ufnZmck$CWlFXkEwcd_FHA|#8kQB-C9f1GL
z8o(^_saFh&NDnk_kDO7C!2*NKwxIs0$>_6J}0WLN^!
zBeMkA^?|eT_$N8U*vj`a3hTs<0S&NknEGHw=%Dhxu%PX3Q=1LbJQSMx
zC#0Gxb
z>YurElpR4Kha~!kDh)}MMS_G?ME=v4%0Aoa&zgE39%UJ#J{;TWL{atfCpP=rXqf1X
zvp%V?tOBR_lwK@76;0C?7YB5?vPq!lIq5_D!jIoiE7oR-a>f@mAC9>z1gS?vBBS#q
zze-Cg)t}Tn!QvBNq4M+rGl_#L@q?J25fv}UiX=pl@KqxZ#Bu3#)z_Va=)9@`8=>gB#mXAE&eR!ScOa90}Y-vEMbvC!v|dt@3ec0sH#w{lk$iv
zcEt{wBq|%6-H*cEz)nBWctl(
zS)fam|BgEfu1he;X}p>cQaxUO6B7gyp7O%a5HKLX<7T8&JlH;Km?JPB^(CMvqi&HP
z6zn!Da^2}I#py(ehVbJ%PNQ<|GmQbSl=t6?Q5J^QKgjN#w-r`!l7^f*v7<^&l{^JS
z##6b~+CGw%fXEL|U>hDhbf;T-vRFrF<1=#w2OwHLEn^FD(Js$RIo)AdP1@w!+^~?O
zBB{A2UAY^qX-AW`%W>UhZCKE}T;6@tQY1UXdH8+2qnIu>J0k*gU3Fi)uTyurf`_;=
za+u6T#0Qfh1wPrNBmhuPpCSh_o=$<3RbEs$oEa{5IB~rz;_AIiE;SWbO2pN3Ag7<_
zPTX{*r>eMB_BDbqdHY|Qp=F2>YMUHauQ_Ts@_!yM3dwFgiQ7+@d76URKy%_$HV95fZsm<4NI9u5gT
zo%Q0AKF+k990Ii_m@r*RGJbYcgS4FjV+`qToN4Q(}GaEYc~QF+WbCx{U_myShb~ogtNHem+_U#ycPu>CtfCG2<(k+YfDrj(z(jSc>P{98fW!aaQafQ6g7l
zhh-y2ZYFS9Z)VV!3@Tqf7(T~`o}wcD{8pt5m-?h~UNk8744PggZea%%S^KqI_>XzF
zzv;dkzGvdS-Qzno2e%)<_$MnIUs7SG_UdpccJruo6VFEvFT6TJgb+C;k-q`tt|lqt
zLEp0(SpS535b1St=)3Nxr*Tnu1KAtb-x_MYrwE@{Fyv
zA_Oh~zL@-U;o!i;6G_C?5EMJt#&D^R45
zmPM0?2;IU*0dw5)z(NoRVnFk}Y&}kYCcT3nZS^SOEU8rG;Kvb(A?Vk|-1ENo*Ss+pLn>VM&h@C2EqCc3D5R-N{;y+BfmMS_Jm|
zzq@%y@Bq?)!Lhq}P)aU63?K6>L9At|L6PrBhDEVIgyG*{Q79)9Faa)RS84$cU@~Wb
zO3>qe-fd|9wXWF>XcT>>ABmtI4Pgxv$P@XZ+Fa*8Ns7Fil3?2N=!+}cQq;IC)V(WkMhWy_k78LMas!r^>*~Ydge}9bRGt)&GlX0K0U{g9-kB*-
zG0s8J<5va`+uuelg6j^^9t3gEMK{?#dkDTrUyNi!9rdHSC0#YNwqJDc4csg4YT+$8Jtaw-6x6x){WL}LW5~1!>LP^;r7=u<`Qct#ZG~-}T5aSZ7Pmwwqmi>^
zf!!rM#=<N6kw3)%wn-6lr
z{izxh1U`mB3ax04#`a_6J4R>kdnAKm?w_E1acNRF*`cHfcr31Eh;4JRa}G&{Ola!z
zRtf88%nv_*aV9Lco%tFEzColMnwxGolH5bc6@wbS6H%^wKw=U$_6wPw@DHo%=8$4b
z4q`6@dsO~!x#{>Bd|3HJa8bA4bJfk33k;=EHW&3#GI2A{^U?mACc^lDREGCa41LDV
zkdV#Q@bxhlr*;UL++EG;<~;6xYn;VC7ck-QL$n>trU0%#6SKmD0*{_ay^1X~*oO6o^Q2VoVM{f>cP%MLZ%
zJdE(%&SI6(*A{i8r9P&$g>N>cy^i-2(2fVFFH_Z}$Xf=9fP#}7#i>-tLhBtI5k2Cm
z0;g$xQJAlNrO_e^n4!+D*iVU%=MiDcB!p{dQK)mtbz#`8B3;eLYw553=^AO1vYvZO
z1fvJ{x*msqa7D=oVPhNa}i@l<+=Zz0G9}kf2nOnwkMsY?+#VS$dU+U;yT6qGT9F62+#1EJ`^4Y#Ig(
zq`!RO+EU(=;TDdZ#-C{cFxOMZ2aQd&$I*AcWggk3iVtIkrG{rqOY9i>H;mcBb>o;<
zB0fIAJfHnC9s<=`Rn~Umf+=A@P!TEs2_ilN*m@
z0u;rzP}Hld2_>*W65|BPtFuEIkrhPNcVCfk45x{ylLrltz>&$X
zau91-@)$x;gMr+GUoL7kyY-?aZ_~uYa9T9-DnCJ-ept4ZOLhvvKT@qgBC4VgK3_50
zE9=IqhN$enlUFeA)vEGy+w|Lo3q|rjua-2C%8EFybbS
zM>&aC`@wmc8X13KFs~)C1;dcMf)zM1PHJgSTtO^w&(GmrAC<)?7rMVim&{6r25pNFty
zwFsH|J=e6}C6Z-)zwr5yhm;<@MF7K8Nri4~S-Lm`GRma??B4d*)Da>iGBS^D-pUOQ
zN|iqcrwUM4`SV2S`blG?EQkTr@2=Pz&fLFz&*y@3h{2>peIyw$cqSsX>2T(F
z5|W6VcG|vph|@)JV48+32~*3?`RlcQCcT@+n^LU_)NALU)P)qcPSRC1?9i&AJy@x-
zR6GZ({Z>#h95eUXD*eYyddx;xgi0~t0xI7#6rYBR6(PV4IU{|FK(vY`O;{*vA#n^N
z)r5%kkhuH|HzBY}`6WCr1(IPtX
z5d=V)0O1llc*J7fIoDoHi8cv5nHLg!)5U(xVX~@=Us}68*IfD2*dZ
zQ`h7{=b{UNSLrn4<81Zw-Pa0P&+)y!JRYYKq
z)~WrI#w(N+AIf{T+}~+O{=B>Vxii~i?0Y%$R5}u#Hn+l<$!-M#jT+iOo>1S-rCSMe1ytLmq
zEkk9&iR;tdyx{&pv_Ep(g+A!?-}Cqjn`6$j#y_GPou&=YFw=Dpg
zsNd(WN5{}Hi*(~b3Llh~LCyZ!KiO16<@0B85FkW=rC5BBa-9?144(oDNp%gn17iBC3T;$aGSwy>54(*w2)VhixHToN1?MQZ
z)Z_3^UG#)6Ld{zg(aZnh`Aeyi2?4CgR33D%?FNyM|RfuS~Argctq|y)vl*b&Dw1Q
zyj7gq!0f^VNAUdbS!1v9i1(Bf27tt2J44jU9k51gc*F+)0rv?A$BFHm{
zAz1Y>UaB=pycnyPZ`k~?2&fxH`WD-aJzvNS*=d(Dbk;*c0RDC1iI3OB)^`8^y~ctE
ztf{1aR$2RC;_8sLKndTciv7{bvTP1a9^mb!3Nly^*Dxxl9C6cZ71uRB-c%__Y8Hfu
zQlSYAB1M#tzy~Eg1_i#0=c~X|z?qn7bAx`oLdTaFj(+!KPTwS|cDh*Iz=ywQy*?$Y
zb=q7leOsW4A{!;-xcl`)_y^bl__{z_L1p9@^wfWt75PJ_`3{K_zvDq7NRSBBN|2K#
zZ>9)z*LT_#s!6mePFwWEYzV#3(Y5$S4M6z4cNW*CiSG$HM$e%g>UiVrlm;pM!0PXG
zoER|o>!!^$7o1E}mM}oe>Mj&gQZ|8rO?(*`j^PUH6aeZ3$^ia_AuA<1uR;T#N4+BE
zkUZhM?!#}!=+W^%+)9?$1*CH@F<(WXK3tCYchh)2Ox;U$AAUCV4?;tnG+=5{_YayX
z=szGdY%T`37W4|j_T}?R3k?4w^7qjv>0I1r23=X_iK?Z#s)HLk4*U)SfwdEXado{F
zc*QD=FtW}7#N<8T2NlAI!qZInE_`!uT&(yUAAk{@a=?70BF6C~7>@hO+ED5cRF?&J
zNL2-Zt@v-*hz??9x3v!rF?Sf@!fG_};gFyrCIl38mAkaLr(+8f4tT-yq9Lgg{sUz@
zR0NcW73E0FSV8EZhSU3Q##@#C7>quXw;RxwdTjl7_xRi36Wf083NR;405HGaNk=?u
zyHMFt1RL~DEPk_Lih8n!d3qdg&*y?!F12jH2($rYV{`Z#1+mMlg8IN=1Hzo#w^{7p
zHERu$kfY%j-pm|VnuC=GAOGBO0o^)u9sd`}ZKDkeEOtc&UR@NrbzylpYB50vwc{&H~v!F#^&Qms7;geF0Z
z2aHyGX6!aQTVYK>MPQiUp@O)R+~7$l=ZcTiZQ{R&#D%nq+2=XU=@0~APBJK8#51Nq
zc-K?r8vp1tNwEX#QFqp1)q~eZB*of;+qYnaqV%&pi6c8RkA{)VVr-_-Yv*rgg+`tDNv+hBW!~lV!h`2CGPyua_m(hz(f&>RyE`%
z@{2!-6s<>_jGWMXCnj=_9JG5UkLk}%Y%*E3;UO5c@c;_K`Z8M2Z{vjxFT_igt%{@y
zo2*K}0+Gdn*zkJsVGF-zXH1T8B*q%E;wPYA=J>vWtnx!ls}40siE>THsM6z~mb-ql
z#HLzfygq0P5LvGSB=~&MqBwCx7$%5Tg+FCOV`=JIN>*USqxr?5YYnfd@O}(GwNxQd
z?IN~^_~yOR#Z`$AEc9hLhI~Qwdq%}Rb*t|QzvB;Vpo4
zC>*n0E|_v>wxSsGer6E>PPiWzROs@*tLOw!g?3H?QB@eId*twAV3+VS^=?nH$Y#qvy)R
z-m{?wei$WH0k1>omw34A*^|HfZ4Z^&5zPdudQ2{5D%7
zAk%$k4eS~pU$w{!i#CHs>*!RHuYH=XQJ@~
zLZ_)1{ay?QSaoqpRSJsgzzeuG4v53Cr+1@*ux=nWjK!qgf&&2*6CFK?S4?gbsz9&K
z@YJBjbw^zI&*m);eVs{60SPeXOjNU}T7*PH1B%>#k5GkC9)LTh!sI1UC};8cs?kI(+uSwKKO^~DGXnQn$?}w96)&ehpt`b
z6yWq%B~8+egAUA2V!g)EaXwrrnDqV6m=w&gE}C`LMB3VVQPMDjKQ#d{ab0$60K*S>
zfyDg@5@hK9@k^Q+waD+2XrJx0+cG?BUM
zZn-pJEtS9G*4S+;PK%J4orRqR?Yu6{OMeVIAD?yQA^UlN6NwEi`%-T6SC~Z=XrxqD
z1PkSa`q3(z_oQFR1t%7z=cn)<4gM?q0dwR`5N-i2ZlfeDP@>p;8VbPOc$X}3n1(j{
zfLYd^5g~qlDl;aqR>{delWB=n1LBmzNrCzX_@mj+93)kro0ld=-V@nVhfQN#il)B?
zZWK&_iEAET4`(htPIvu>0L-S~Lak(dQEYeJH>Vp6-!qspw_fRB(NUSLB(GjzBM<`S
zy?Hvznuep&Bnpah1%2TiOg?-jzX{Forir8oflX4^)Zgw6Q04{d$wB~xPtt_0)WnF_b+ZD3Id;X$zy}3JJagM&>(I
zrsu!}zP`()=++RU5Tjjk#p!r1RvcdXDE^x1eY7=y5lZK|luY
zKsD~AL-OWb7?2hDYWZRA(Oa({CZo)LzC{05eH2(v=asjdk^sm6NSs7R447*2LWjC@
zF>M}|SoO>kEf`#RgNcT>2U2y;<0(Z3GQ4hAewZR6TSR|1Q6wkP<>HQeH;z(pW&|Y+
z4Y!FNa=%@nk>KaZ-kQJR`KZA3_jl!!*Mm0p6-~qs9nr5i79k(vtKmE^28lbg_1>d;
z0+{=DnW-KI!0z|1TPx*=#N-^dvJlQcV*b6@Q4od%9pI%P!C<^Pd?Fet1~e8GNeze(
z@ydDtkwZ|@6uwxEq62VVWGm_>76@fikd
zc-^)tap>!y!F(H0CkX@OXEuj+Rqsduwa5||NAAB?FpZlEF{L!p{r8fDewEuao-q0s
zs5`F@otFw9iE^@oY}N6|q|Rw`18PW1e@m+3WKcta*{`Ro<|StbrlX^XQ?|3?
zk*mYEM=GUH?s*8GpsZQmd2Z&83j{)~LhdtM@r-FTj}
z_Rjj_P_^^{_z~T9)QHG1OXrM+)Q(mNa@6w6D6drLYPztuULOxOJt%>q`*1$GGuhgD
zlq7T<1EMO8d$hE50X1tAswo~2+Y>zAbAtl3Spr>()6LE!dipEIW#3h!`vb~TOdM3qyG@(>`kj3+9CFmf+7X@GR2Qriqq_}}2rVS$
z9(jlh5+>RX5XpQ}?4y&)8GpX=0V7_~wv#GJ2|1);y0yz1FG`CW<2QvJm5#0A_M0Js
zftaVYmk^1Y^@scw2q6li2Sd^)cC|)6+!9MCiJWTb91w|c_>zhUEOkIiaX;bIQpALI
za-z$~*Edr8BTvj~Oat6Nwer>INtKJaLXQtW(KU~sR23vM-ogdAsa0$)$4XpyDDYEy
z)EWC*bTZh%aiif);iZ4SzPU*e&gk+${oH9V5@oPujm6y!F!@e$0%cQaGz=AM;tDfA
zsBuQR%?=7T-G|7SMe(K?q)ClvSrT=cD^G+X#cwi36sxd&M(J;p=BvjY`P0o)si{K7
z5N=$RGmjvK!ez!OXRq=rdoMnm^7~x9@KxBz-E9Q$WC9!(@GV0#$jPhk_ZfI{WO}jJ
z4(1jYpyBwesrsNhRVo2#!TyS8_)^9>9kb)ZZbZgu)|$l4$c)1w@o-`dKaK*%Vr6hi9-ny5ogVrHH!4X|sy`*1
z)@_XdF#K2foh#iDEj57K5TOdiN7=cS{7^(rL%2SRZgM_%CVl<*OwK}gz*rlc_qs(K
z)Fh4lMU2(v9G|L|nd+FCCpE|rx7G)^$LUJ@cW%9C}pECs^ihkS=w(0fYj4I%Aq
zXAeI>-%V}gv%!!LKZ$o4tq9ZiFiBI9AFO*;)-C?eZU|b{(e!g%KWa__<)Yw$TJep$
z*Y_zbu74-ZFb{M!Lx&uO-#YaaNkS!63<>zlFQw7JaCZ(O4qN4;s%F^Q92m;Y7+4*9
zlXIbO{Vzg1^_z&{dMvFeKXnPv8g*Av=!HHV#xs~{%U5tGtDT;!D-Km(DZ9XeXzrZu
zR&j}_bj8l%U}EtXkX7On%y&=IaCaX|HqGZ@KI(O39h*X1zY4;X3z!p-{M0K?UtnCw
zL&2hJ$M>qjVDgLA!%%HHpZp*%qMeU^X+?#F`P7z%^^V6RGtiE_69CMf@aHGDw#_Pk
z2p$YI0cbq&)RT$TL}8<;7Ms-!Y&7V0rLf-G5i6R29h7P(fXiuNeDBKw0aEi!&Vg!x
z%ZdKVUHVQ-8be&c%&e2O*XdBhgPzElEDJFs51YgAqd8i(-4SV8kQ
z9dkXbass*uY~9nAHfIDZ6{07dHXoQmwS5
z(*OIjL2^6%06T@SzCYvr(fw`p;f3jf+b`FU_g0eL)XPRaq}4oCX?}^RQR?nFy2c1B
zuVm8~eh~UfG;<=-Z(lUrtKj__k)P|OAR%XH8Iy~q6Jv~cUck(ubI~QXN8Tr>-k(yv
z9r=)*5CnRZP`KfHrRH~EpRepMVp8~S<00>M!85&zQU{-RTOOTtcE0zxx3eL*<%yzamMU>|=7pG~HLbvX+t`gA0-NH?PcQTj>)hg}>Q+S65vQ_n$`2gt7%M
z{hYd5;I%&Zc7eLqSXG~5q4X29WGG1C@20d_tM{ri_Jfu
z#U|}NzVxQzeeUW;#O{axO#kg)g|+zHy!1EF{f|{NcpP=(-hoPl6&1Q^NPZzEb`Sk3
z3*B-wG2$K)dM$-t#fW|ZE!#zvCD2;0CH7p4kZ%r_+$SOSslHaKxQQgQ%4)o0R=jTIuLdh`N`If9K
z*DS6L)Ej8@SvPCXiu9x)x&#&i@qt(ZLV5e%kWT4mG5$NQMkQ_v#bWk$rRb`+^mQC0
zTjgTYTk`9p@h{N!l@QHYf7gZ4bbH+(lOXg&z(GdVKC0g*_i97hX|(tQE4pn<&Z8E`
z;`y9kL%|i-&|TzQ%z(AZp5f$=xP(QNMnzIIERHuSr4N>i>XiPpr{Tks^<*!9q9>+<
zobS<+bgVcZ*_r>Q81il(rKLi3a8;<;vB
z;SVpM^(v7=Jte(AqzD0#a0CBi!RXN7vcRT@wfE&=1HtA(g>q2|55HXC+bT=Fkbtkh
zY{`{dWmOrLjr4adzO>{w6L>+(Dx%UlGb@<#uZ8L&9v}JRV%2?5HF{;QxUai%$iJ3^
zj?BE89DCX{}YqP6lxY%OqRJl#DS%R~e|f@|!;*T7M>8)J}Ss?QWi0-LO@_
zr&|6``CRUc$eUXwt7R!n-YY?hSH@IpU))dg9WT##PrFlz>QgN^%d0x$F0uq
zEH4of^Hr=)YbiLg68%^8obXs(3{S0OmAvwY5*Mpl$uIR^;!@>267NgYIBry_!%@=8
zDA@ISleGq@Au|V8Rc~l?2^A-cZn!iaZ@$btmUxVijS8`r!6X(v54PSDN3-3l*Y_HQ
zL026UkIf#viVMkqZ+(vN3+1fR%-EFL>VgAfGnbrasXwTNk_{A)cjrAwV*$c(Uy`
zSEjlF`VRa$!M9?fvSyQ>_`;@b<(mA9M9qoo_4k*fR+Vlh5LBa;uaveXXeS^iDl6RS
z@>@#&(d8-zmGaFMH$O;b{BRBb3`ZG!ZI=SI0j<@hhR7F*@^bF&ml88cb4ijnIM3;A
zq7UlMC3c>XjG7(24XtZ$9^a+)SpJA@mjE^@xv0y}vYv9`)__EJ
z+J$P8t-Wm$s(wSB%juxV72bffy|b@;^%lI<{AH_I!lgg(=)>nwew8i58_8#qVq{*{
zM&CfcfQyT61xE%p1m+;6C+SLsQszF(HxB|A{p@IWSo
zz}!3)qw5^M6?aKG!9DBaRpXuBWl(Llaq&^Q401D52-L!L;||}AUUT`r+qU#{b&)zGFtN!3S|A3_x+N4
z)0wj!h;)9i{uy3H?y#tat{T&agYizCEH|`{HgiItKf*+uj$j^mTtDow5nS{oB
z4Tyj;Sqa6wQs?Bn9`X1LL1;seBD`Mepw6M;FsDBAw(Ej~))OnWZs#=l`GxfV3|~s+
zbq27&&b?!I2P2I$YO?FR`i|M#!Hw*YoHocr3a<&W-5A&BwjDV+R(!FqjQ!(;ZyqwR
zjqCDo=dV`u$?Y*-?Jjsxr_P0;?CZCl+jLHEggS4I6nb^1^Gy_()Q9Me!J=G_BvZ>*
zg5fIT29FPVond2?oV!|56U8ev@~0-aqqweir1Gs^YVW&xEU%|lS{HTgwuzm!zR4i8
zh^L?vxg`FPRg!;psEl=8}isZhex(#Mb@o*@XZ)78iaOJRjF-`yR3@#o5xbkY?m
z`yV$RaXUFXPferh1_#@w6F`r@Cl6XmTgac7IO%md=6=-Suv3fSo;U`C2S&66fryO-z3!vvOjJpi~wx!gy{O9&U
zENbYL-7~ey1;Xb1w#tjTm1q1RPmS&7usoyZua{rwoJtY^2(#{bk{3Nq7msnz=ciUD
zc?29Dn+|H7lyn;M3q_g(fH^zXl#B6NHAuyM>2CADo3F^+smd*{*`vl|et)3mk`H;`9dzWyAIp->0?&LRvN=(d=q`J$GsMA
zFRYYr$4`0(`U2;E55mhxhI8)kv7$9&2CG%R?HhWcO4iBgI=w!}@lv
z93YJ;uOM{*Tx+qybMff%4r@%Mg+>0cwhlovevaO(9-$;XbLw~`32Tz+SpeNO}^3u0eZZmOU2vOPfQ
z*RCjqe^5zTUtCg2{Wo9d@a~s<()fZ5E{xfpNXwH7qLNV};g1|lM$2p09>#8-`_&8S
zN5N`8ZbU-}k@GiK&R2UU?%LKGOs$uve2}~_AUg1xr}j0hfQ_Ig&C9F@G;@iBZ};;T
z3zt7(WmkgeZ=8>QUY7;wFkkayE^dEbMSp1oBP_Dpxb8oBE(Tit!4!Pm5%W6*Wzzvb
z0bovc2co@0_NH`^ee^0m0Y~WB4xlO$;A6a=z5nIu
zLbk3wT)qwQ2y^0!=;y4_O-XGoLoehPOf&S>vHox2iJf2Ty|2kGe1`cPd;?go;XdEo
zk0Zjxh>AcSElfK7=$lY;TuZx75dR9i_}8E
z;=XPT1=EbfL$SuoyIcLl=W*RDVzC1_Yd2imw%^{l7H`CcNU@k!I3tH9sQh`pefCaS
z_Hi+{`}^Or4CTb4u8?56S%aMs8@1lCTc5ixcg4sY{EPlX?|NDt_~x~#`N;CCL-)uB
z7vFpr{`O|$&7OV7ImY?2tr23ftzwPSPRA);vP#cSOCrznDn8IihvDv~tg?+$ALFr!p0_C3
zlY3>;n0Vo&e*Nh~Pi71++oXPZcsE5xZ|Q7TMnsl=5iX*8*{xTk!8A~#%=lP!^+MbE
z_D~nk_yle>x7ydHAveEY&n4?m_Jx*XiKmJSdf!XhZZ)TFKXjUpm(o;INnFZ(!p{6R
z(mHne&(uU?(18Y7Kl<9sc&`nA#XIg8aMu2aUrV$df~pus1Hef<3SMTn-~QP92wR*XS$i
zeH)SBHI(DIzDBaC%hk+u%7a@E^MBK^)NTHP;-U?6KifBTvOZj}mEq(1m!jQ
zs~(I2wwi1}z<@;f%!XOP))5ydBsnF{4WPog{HLuy4$TC_$zY&sdr0d)48v@96){Ol
z#gp&b2BjVcac#XjEWiR=BaetKvMlAK2cEd7d_x$}Q?2R~96khFV#@8-L2k?`-_H%w
ztLj#!CpxE$?bbx=kfXe_2R~=Fn!c8QZaXX2fjtiF)=B?nLCt>ez;(5X1&bj;7N0C_
zyqcXsi#3Y!J@*UUd>d+)k~bBAS>D`ck(hoL1-?wxX|rwl8h|`vhR}X|s<6E`qnAnoJQQ0WKYJ8eb^OrFp
z1E7HkMH>H(iuX=0y;lvRNhGsVMSy#tZVML7g)z1>dhgiKl@IaU#5ZgIT)B1P@zH-<
zy?;V0j$t|uo8LZ{_Fc9fqyT6pbN``8)uDU-nnIv9Oa~Z;qggr$dR}aM5;*5J%(K=3
zSIGmU(&L8@1ssR753Ncl^njEdwR6MzWYCX~4^~;<{1cMwhcOQvd)dB|p)KvNV9wKH
z;;Kb2tnpWQ6fnO1F0!#!2W-}y7XFQ%
zx%2)G@q?Wwe;%j2{$p&XVEq=9${ZNgyxVw^wW)NYYN@IJPU6zX*Y3w(&bPRBw1L{g
zPTaabcgs~P?G0bJ$EoTGvDbRN3EsZAqpa~aaYviaPX%}>SG-zkKYEMy_{_0O_ueoO
z-x8kLhKmT+EEr8kH;6i%<9&dCGuZrNNKoT*W_k5v(R&8mmYsm&UI*!hr$FRV*^&-av0W?!Y`$tZoJjF^z%AA
z4pTLj4C3OP_x=gth69{5833pPw&1Y;3#~lz|Dcun|2JCMn3k>izi8#4#QzViTt{3%
zoan_=X!$+8=2-bl#6Z+%x>ldZRiIMu`iuWTD`Pj=LC!RrN^l1)rp=S#-8wk68PlHM
zi;kV{Nji07;YRd#@Phb{b`Dx8d`{h1{u8nP-1D`QCVS1}6D7Q!pC6pxacwO#CN|sk
zc5e;k$sEd)SPp;r%+V@qU7Zo}KEJ{9LP~p_@~PJyX?${KU;W=U@yGt|w_iCs*v5L3
zviI94apUomu5)ktoqpoi`9~rTpaPAEVG>ywWA$xciAwwkq?DSgu)n+~{bnxm|#WJe)@
zSuvcW*-l>zR*G|*Md(fjz0H@)R$&wfiz%$8n=XsL&DZ@*eOu)CyyZ#;3To|BattBj
zSE}=Y+*nKwuofwkl#mcDIaaJPTc~NXkIPo*-N$8FyCpQ0MZ!m#2%OpnrOT)?@#gF#
zqa|#KL88P4)9FbhF)1@Un86vGHP+{JZoP?Uj{f^U9l@6NMh)T6N{teEV*FW6s6H_1??P26$!NCPK8%&jYRUGr7{!4WO
zz@%Q#Y>)BGqAff1gE~Q2GilXRTj#;2o^VCK@8k@zv6&d+T346z+a6
z_RJRC>OL=EmRm#FK5kbw?mOW3K56;hZYC)Lfp~ReXZWOgae>MG?eFh0d@>hzhQ;Ag
z5GY^();8B$u*-NSO;5ny$EOf~qGa
z(;(;N
zBUMd$Q-%OZ-Q~e2X(itw2@A~7ada=Tu~6@=WtiN<$p+Pw;ET+sfN&X)+1t1ChxW&L
z75n5Jpb`8Eh~nNk_ZwGxYy`Vjy5*xPGf@TrAWdcJTpO7oys5zB_MPB-jeHIu|M6Cv
z^%k#ID`NDw#W7e=)ovY&hu?($tYQ!Uou3Q%15iQZG(o9SK*+pwn(}>rEV;aqqeW
z(lxfyTV{)E&>$l}%`}v(#8*5ai{K@iG&(BH%oEm~pe}Mciq@%)5H)f!=2j@3Uk#i!
zZud1V#zg3H?|%BfFFWO2Ki`RuY+6_Hb{)6vWvE%zTW0*BkdWDsiRdMU+RE3e)7Yi~
zV(UOhtX8R6+H5W>o9x~MbG{2MMI94@WIA?X?r6~kmb0HE4mRgLUSHSx;(kD$XbP$r
zRhW_YB<2SLfM^XsHF5(1=;7O#G)y|DR1U3&zSN=R=O;J&q`ClB}zXDcA@v6!h{qWxt&T3xWO);gB~~FtW}g92?D1Z
zY1nesFs4zBVFFu68->jpXMG!?tv_?Rw!CgZ-MT~9g_C^0kDu~Rbt&%9twU6X*mc>w
z=)C#7%{%s`;miiIKeLhK67=5l?qpFqP6U{b4?(6fQ)R^!n$yI|1|7Y~)AOPyO^SW3
z|5P>i)t;{&g{*rE%$ZY+h8arWYxR~o%khNsikaLjU48<$`~ix_176|+-opW9leZE8
zaFesK;dO+i!_Bmc`PU-d?cA-qEWTW8sh^)viY+P;^eGLzwA@JcKI&qr1-2TrlXMCZ3|r
z2;48{%ZK0#c>83&pN8}*nxTR-B&IGkKOem7dj)5WTM*TI=8A197R;
zc($oNB6OiV{zU3DbjBJyS5lWgsd0G)qQ=Z9qcd9R8pIev@yW%yoy1
z3D^wzmE~+bgP}XtEt{?7pXN=kyxnFN-Ew&h4$QE*m7s5x7^$Sf8$1(+HodN$dHyCB
zQLtxqzcWb}dMNuKE8=5`zcF6O6+$&Ip>+&w`A{@o=N=3
zlCkXPu(UfZ5ZS?%d;M1QArOjTjK`b>%&aX&EEu?sF}TwT?$FN|?9;+XDx>huoK7!4
z7tB(qaSI2KnWuWBw^;ZflJX`4*$!romJ+CmZEZ`Fvi7b7&+@A
z9OJhFk!2%#XR>=&gqddXDb4>}dFSJpm?2Wn%3dS+nyDS4q=1v)ss`DY%*3s?SR8|x
z4H)_yE9cE>u1g)5!8!VH26-3A0Z@>`8mI=83(hpAttWKO4As&f>T??9d+elclD#!5
zWGNcG&l+mM0iOpTI*G;r7aW~vjK_n`BGDFg5Hr8rq_57$nWx?*LBa{hyOg{;DED%*
z0Jsa$jS~tYI~RoIzw=J`<(=`$PVEFqJ?tjh9th7$EGPmX((g^dp=LY&raH-m?`TTS
zIMi7JvX@)fLqI~%5P&PxMTYk_LLE>c|Nemb?ImXPH=|rfgQK1vBWyb+?xI|Z(Zv8{
zqr5=+%z;NcMK9hdfJ%v|zThE`=xGMB#y{^i0ohMM7(#*4lc}cB`A)#;Ps1$B_jYUF
z&P6;BU%4rMpspZ`TjcbnG{Y+c(U4z3K;9$>pC!PO*)*sk3`orI*@9ZmKxH`~O*Sg}
zO!USRw$|K5723HX@eAU#gJ!C^U=PRz>~j;kp@|BugZA5(p@^ilVK&iGt@v1q
zHy-j<0~M!&@=l>nhN(a)HS(dAw;C#SL-EAkK#6PxD{q(|4hBDn>PNsnA^_EKnu22J
z8Ea2J4U@>ZItk*@+<(JT1pza{SxH2l(%M02AV%neJ^?Yz%b=(q{$SR(2I
zN*L&a?l9_>C5vsCm4_9*5C23Ri@2Bzi-Cfmwm`1FOwpoa<9_1h%Eoi=SMy(`q5N^E
zI4-PTQ~dD3Qn`ATnkxFmMx%FN(`OI+CB)_BktRKKHIi2^HybL#@2b=xY{<<~OBaGo
znEx@F1y`FB&G*Oeg(;>EDEa`&A~dCgnCis)levq^%Gk3tDKER
zpG>TMTAma*(0b=+LrdSwRlO~pW4(u)ZW?V>@=1`San?wZ50gdXw324
z06E>+skx`6!V4q_Ecwm0B|P}m`t(Dv)tmNi>xxH0I4QiQ0{GlF&ubWgG$CSeCb4Z)
z%d<(#=qW6DQApg01Ep8G@@L|k(VdTDQRP1=3O7;$WGW8z1SWX2e*1+Q`*jXH+qoaz
zJUI^Imz|fdUjH`~RAwap_8scOPU1ruZ}*0i5{7PBJR8Js)Ml*faztxd8#wIXB-L9~GUGSZ*xidOe%k8I@xDK6THi;7b$kE|dVogq63%v1R_6BO3W%-ey
zvVDU&A%3OTG1#_8JgKKFwr!tcCMM^+a8+aBhn_#-o$mA0{lC4k9NU{bG8Mlgs>sey
zdO~$4#Yy&8-uIe2E?tQJC`GMeo$+-_YeiqFbgv&~0nDBgL>i3&iy
z33Qq{GS^455a*o@dlA;xPd@zyeD&JkPSVA5Sp3J@tXsWJO9KRui)^D!
zI9-Wyj-K)RRuiH(sxoJ)E$-~^asu;OfiuSL2ueZ=bzuwQjDvZu$?rNa3
z3q(--qV=HTCY~gW{$^i|`yKfq_pavgp3Pj2o`De2r^l)>{v-!6>EEWPhVtD?irHJx
zu%7Bm*tnCt$s+HJ$|`g3d_T79A5o4JAF^%jt#Z_fL#211;K%PQK1cZ_!UR2#SIEel
zGbl0+)xmBvmOddHH9_)&J-PkQrq-3;sVy<$S?$c+(vGgAO%vt3+x^}BvK?r-v$yNw
zMxJU-H%yJ-Xc=ITU=$A4;Yj-)7_I)>d45?*F%n<;!_UHDYDDgo$g?q7UT?#%)}Ko@
zW-ZWv_Z@#N4EQD1Ly5vumjwQ)%ru(}qQ{1;^+LzB(9?O8L1k{KZm&SyVJecgArshA+PqbmAV{NHZfo-ty?EYc#y_y@G9Bfq(
z0|k0y=Q~{Mi7MMdq;p|^;!s_}K>s@Q2mwBY>kAeJm;|BE%N%#gBbMAF?9<1mHY1&d
z21Xkm9tdV81c~$Bw^N@?LPJ}hsL*BVYn|&Rz(nD@1XKm;pX3!mr*>3gJgVpaV}avSfTzaFZ9#J@Zbs+?H+0G(cJb9n{()l_&DS?II0d&O?`UI
z1r^MB%IBk%3>Fi1z)zry4ME(mtEU~(rwVJjCi}#_f-)?x4S3ZI_)v2ydiZOH%X}2G
z9|l~&qt4U}bT`KrsG|5T!JH;iu4ZxH>{D>)i`=i{wwq|Py(1aOJ0b6Vo)focgkL;=
z)}&T5{8%9=<8wUJ6X&=epXZ8#IpFJ$#+C<@%fU23;E7AGvB(HH(+LL)pe&)2V1EUG
z7y?Xvx@2o$ai2kj$a{^|Yr~L#ZQgv+`QYlUR&_^-c8xDHyQ1J3cz8J8D?AbENreer
zeeqcYP{M&_ao|aRXA%L{c?VswGa+)WgHSe9Y?at$e?#Wub+MbPubrNo1$!U-`;he)
zN=6AdY=s@BLi=G9a~3N;GuVOy2=bSraHCOx;ANDs`mbWJNAdP3+5-i{1+S8~-#{gv
zIk}ad(vx#^@J1dKzq`o4Y*(2V{Cw~i<04jKd!3JrC?G8$%oh*{MTH65{R2UlpZE*4
z2thAp!YV|cV{%^}EPi+TC90uzq23&m`cT}oWp+Dg;SQ@Fx+-{?g9;!oW$N5%JvV>l
z7$l4kUH5Vw-FNR$s^?o>>pAle*|v`*^yneBJwnxw_9aaSbUjTY3-Z`ilQoXpnK^NX
zP$KCN6g?-60&mzFZ0neyQi962z$YHQM<=bqO*Xd_+J(J7jOk$vU7xX&%fBs6K5=>C
zkXS$IijLkbwk1G4w;)siXh89j9xgY3(li@?rJ=ogm}e)c+cA3K3oQ1_`6HW@@Iuby
zmv@*6TZ1i8MFof=|GXEtz(u6hK{WQZ5EsetN)&Y9B}yTnyr!0kpKvW}*!&B%ZX4Z}
zcYpq~;CX&nt9IDeoTNLDdXX6~=dfLfc^!;b`c`-w;t70;`P*kZJCkC>ycn}%lD}hp
zlyuBFLZ|A%8_+#689wfM4}ykzP}<&PSIu1L{advIwG4}Tm8Rg1x%5KusVI<61-nqH
zDz^}4XSjl)FTTIv>|Jn*x!if_-l~W3uJq}??`UBGJCtSO2EZRg-j9)fWK{9xFz)E{
z3;U(S6`T+j6V2N&(b+4W|5QQHf{En$ThAk;#0Hg-BmS&L+Vx+p`_Dw^9?#p@Jo@Ed
z?WBwk0jKvHhzyJH4}7@4zR=R1E+%Nwx&OCcTjZ)M(u8an{NT%t+IyV~!!Ngke(Hh}
zf#xF#9Ki$t7?2c?BShN~dw^|~aS1w5`@d-AJ}DhKo*!;5sjKEF?h#s)CuMa3D((4y
z(Mm}{A(y#g#nE!9_T>&GFGV-tpmS7fgDrxpVYLG!-oR@D+PS7?AHNiwcavYOJtY2mDnmv!@On+~?^Bh
z>Kb+bJIIbYT^i7>vr{#5-b>Rn;Xl-UcGnONxXZ}P#2)SFUccgT5yBN?sATAxGZHIZ
z8#9_A+0Eq>;rccrrt|FH9&_=+LAamIbsY1_YqH9Z70B_cwYA-Ax%#DxbkWA|zw=v+
zUP8v(e84>rzrrFu+kLHIF)zr+>!xDSM?>bZ1$obkOoaj#kZq|ldx
zdi$BibES7JT=jE>MW#F?j^{p7syiEqZqZL)BxWgngHR4PqO6HI+8>UwJPBNBmM
zk9n@lx8ALfb11QTc%)4@#)76|XA%%8y%ybvUN|S!RH>9_GN*+J;9t=CT-LnH9xheb~3&%@V
zY6%pjC0}=66Z*Jz=ipf45Q533Kmh;OJ1uTNj)7WvktyPB$wkaXz3YM&k++Dm{dtCz
zs;hGSL*aLlP5jvu@Z_Np8Ukexvaexgx}jaX0j6j)
zC{X8H16LYQyrVOC(=l|i7%@(!_?nWgrmLYMxo2t}3ZU%t)d|Co%CFIGK2qUxNnQRp=9b@}$mr`k&K
z?~ecYJLWf#kh8mfzpU@?MrLM29DQ2w=XO_*uwfC%@dgWca-@>S*ifTb(a1J~%Gsr*VSklw*)%Y-z^bT|*bkP({31kVg0NqQcU}
zQ4=-QDMvq{{kxc5E5@wofe5YT+?-~M43*DT&uknq4_80}W}o*ij2gWZ=-VoajhNEpxDiPB$Co
zXtwr-G7m*esQ1KPo`AUF80wa5!X5xW^u%EH*MyXjVOhKio>(fP-lOrMr{n0s`PEaT
zbsKZ=6b+$W<35G8$sANaZKilRUD(u&-NDj!p;*ti^pELkfE5`8mv2%-!eud&#RJD@
zU0*(6??!kA8q6waMA{5{IFURW--wER?4R%fcWYNR)&)EfyzE-(t~xMoy_X|6B&E>}
z;~x!*nANcrmtqWnw|O8Q#&mtwUHC~zr9N))ZcJsQuE^eRQ7tbc2j5dho=d4LZJ4^v
zv4&y43z}CCw$CutNL`n3wj?p24jyX#^-R=E&fHMB8?o(rc3S(}CDBZDf$^q!Qb)el
zom*sBZ1RaeatO-IGZpLZVJp8Du*BNTLpyLC0)bY;9Wo!kj&NXR$h}i2T)bPBu7?-8
z{n~N9Ta#fh-)wr#nL(8#=gM4jsmgPf8o;anAgv<(fDFuV9ses0EEYb-z-Ppu)1AI*
z6ZnAd(YGx*wYK_dh8k`o=Ds&|Vs*j|CMELH`UB>e4xF#p&<-|JKZ58hoYW{dKf~9Z
zlofri1^XR%%vl^G;|&%9>QCAGj+*#ZvKF%UX1i@}O&y4Ehl6mdY~~Z3&=bo7SbVg+
zxbDMB`|j3*pR5guS<1pN#iLN_(LJ9fj!vHQ3MM{5aa|5WH0jps$<4Di6tap?O9UvH
zJH=)8|J?Gv`H1;B7%JXVx$8>{B9m}^RA^?jG9@}+Bqw&MW*cWb@a_dUg&y?+rX`_R
zu>3??JUM{5+-v+$7ZGo?t}j})@6O)e<{{F9keez+RvG?m2kOTsFz4tKYw}+jQ7z)j
z;KiXAU7t<~Pt{m%&_pxM>#LWK>@&EP#l6x*W~c`7%E(%_`!csnlN&sz2FgO*hyfo8-awgMy`q=PZtCYQBsX?|AmTZE@6
zYZaV>V;g67ijFEp1mvW2Z~z3w<^@xGEV||}eyBCu(^mf5r^}dA2b`3;rBEY*J$5*E
z9v%Cdf5D23P*O99dK?O|QRGB24H%D)e=wlIy~@F!uRJ$zPVI8yt4`%ke~jz4wkUX3
zZ5*DZr4DRqAroKhRLg!<-^*;wK6|X6Ct^>;{4TC|(K|Z6;ij{4=Kkk{KbuXpgX853
zo_{>~JA~8=@i(R_+dc;Kw=el7rGemc%_adZE}EF7N=g=X+0}J=rxcmy6`}gk(R
zBBM;V2MxK+YX&_AP*BrC5m^yskQp6
z^z=oUJpFIE@2I6-(xs~X>i(b3A5#=M=R(8l8PY6A~S@vmfUqb8O`MGtKbmlzxX==!r@PBvTF(^Y4>EtmazgTv&M^f)>
zE0_^4W`1Mx_orJ&H&Tc9j$Q^1tJk=XEu+DiD$k_Xff=lqOjxWLW=zzB6DtqYWn*zr
zQ4x1UHE=s*R^`&_9idx>?>zdD?+
z11r#KFZdBQY+hSaPZ1e^kh>&X#3~mRcI>;sVr{3%3JU9%w-rDe@v;qUiN}qgQsloj
zmCE8nt6uP{Ghim6AP3H5pdj)sko8}M`fVy&JjE<=3!&#M0l91%NJ&m^;MvyD(v7O;
z+(D6Xc_l{uo^lYJ&+U53Vi+2btX-}jVLb{&6ChZ*6e*nBkMQn8q!`QU6n>Gg
zfdz^^fe&0vY;w|;Gu{96`4UEISxV?c^P2l2D47z^N*}ZOtI7;l0Iab%@r>xCnoo_%Kxd5I%69kK2|hFa9U3vd5$zpeJe)ngN)$8W&(svt^mVlEa+0Ygo=_Edyp
zQR`er?G;<4Q&R;le9sDpcwYrENE}bkp1QPz2zis6DJ^w(bJCV~?Gw^zQYSmiMJkYM
zz}#Y(QRsT*j#*=J;x5_a!V*^^#0F8E=Z{@7hxAKk^ba}Rf6AEFY*pEFX<^#xI@#3~
z56vfBPsTnR@5=oMeaP@P(*?u6K!GpAW5sOYNGQT3Pvcxy>7O~GIIS-r$bG-ey|Odz
z^K}kdx2)YYT%GEmqfkJLl+m{X*WPgGCrr6d+{`L<%OyX8HYqEFU*C)&PoqXJ{C54E
z=o&+SyJPv|{7|Q8CN2QASDLG>p_Rpb!gb}6Jtf7OI5
zU1Ld#WXIkfCTX&dY(b$&HQi$U^v2u{g9DPD+RaP%B?
zJQsAJ3a3<8Jb$Im5_3Rzf|Bm>nO*(=NlcCDN+^JjRuJK%ZMN`LDAjldSEzz$c7j8H
zY9~YVw3%+Pv2cg8)KN@Qb)xD7#Xf(tY67ba{`@c?xp
zf@NO8e2po-;Kez#-K$p)2Kw`I61}xfB5H@Kb~c9Eh0#hzKF95RVAdYI>Xsj=PfA)W
zNHmBWAdo;2ID)TDn$6JEddN%^INHK&kEWk@LELMFyKwI%{_+K_>waU@h+kuQP5X*U
z=O6HyGy0Hc;iGs`&gqS9LvVm5X_n!t;kOsHp~O#~7F(eiv9E{sIO|=p2g>PE*Z{@`
zsnATgK`F-=&TpySse3y@)+4I^3C)$C2Kx9Yno|vx9CDF)CU+>{
z1?pG}Gh~a|Spi7^sQz`2r0@sWAGwS)KL8$ZW{$49BNo-vZe|M?O9Q=c_wZCPD=gkG
zSka~6La#fBTh_L%TnxB8V!i#fx_4O=2r9D}|l*a6hMk2iE3Bpzg?79$Um*kp}C*Xv+;*{4>9Y8p(3
znj1&c=3QkO5iq;4I6pw6e(!<>#3a%Ct*lm8s^s}NI(iBGdKSXBQY^R(W;lFU*8Ai{
zL8JvaE;2YWMsz2x;$Of!;H*PL3=|+cAKhgX4=_7q35FE?L=)EG-Oh}5VvZ*QHP-BElZ889Gt5?Nq}aA}eFa3zq*
z=S??Ols8^5DH-)zJ!>$?L|M`PNS5A2(5?;3G8$w?xWia^xEOArj#z?xSD>30x-X3Q
zEez+Ny%jG|_FW6fUGYCEe`ukHQo@=#vXXDSF>FkNJXH~j_J(T}2rUfKjo52Hap2wo
zx;zJD!h(FTf$v?zXYAXcO-*NLf&rCiv$GAw-%ATlH=dkcRm%}T13vzwE`I5j!c{7kP1OT#ZaJ2+TZL$4qDIL@&I4Hl@{zygrfYew}zgaQ0Q-xN*a$&^wH(x;
zkY>tJDHCKZ#mqY_YquLr1B-yE__PUTxxl)4J#93@$+JQkL{)B8F(RW>qP>|E@b}x`
zy;JBge}ko^I;*_fM^aD0k%_vI*+O@M*h!+<`sL2oDTft;51UozmVRF_qP({%L084Y
zPdLK^5X4~{co0B!`r64+q)QXvmi>#CD5fQx0`x;8#u1La2(n-F@y4^m3$>--X$6S4@`rV#
zH|v~2HlZB+*9KmK$jmg+3=V$mhc))!9t)gltbno54h(JgRkiNDcLPk(Gb
zu;_SQgNnc>FtEqxqkZ(^vJC?sNaEXngz7*=3=y#8Y8*fF~CHg{
z)HQpKK@xnD9eXRTc;=;mU;esOU`1Wx0Hjm?(JQr(Hz9VcJ0CvQ=fo7V!yXSm%G`on
z?ek8d-<_TarT174p!{VYwaKXkZampm5VOAs|BCx^Ox}!ECi!x&aqW0XVl3*>BPKg@
zYR%`u>)Z|#gt@86?K^h2{S$TGi8_Q=B>Nuc1(@!4e}jMLkH?7`@EONNDvSasnT--9
z<1GTwTW7lHA*E~6>R3~vU}AnYjnX1l#EQa_e}eS}$QR&+2B@j85R8s+eD
zWZT*4!9?n*GXgxd&vg6@U3Lrj`-}jBbH6uvr8Vob;IEr45iK>
z;viSEZ*?${+yO?RQ@=9SIq~Ff87P&VmLGY9C9R%z7dX0eP-n(FEjn!XJ1!OP2l<&p
zH^XPhfwE6to*(jM_|6!Y+%`I=HSK7M&Qc`Ysq!a
zSDXrmrobzXvoy`DFgf$Bsfq&1Ky}gDzb@sbu$wEOEzOTyykx)y6;iaABH*?Wq;>nr
z2PcaJU`9Hv5hs_y*lH58hTujz7+egwLEdPF5_C5
z-R-VPN!|3_=hQ*k2xU-mT>m?a*bt9^)tP_+N2}6jZ7ZaCd$#Hz2qXWRHDxKIwTR69?j^1O$25?ZbV>
z$a@iL{9Za8N;hSnHk{kR<{kXduUvSr$@KEM_dIBXy~noq{+QkEAJs9^%xxyt1&>yh
z2%MjVD!93G&q+!Ux71vQu$?@dcofk8DJ{8jKNAH@dPV!`Ljz
zt7syR#Za)H%688Naj4)UkiSL^-cp&2+e;}&&$7gRTAQ1py*?vKxuQ+cI?>#-(
z;uh>Y8Qnkl1s|{JcLiv{NE!Rb+b*Ai)4+HLM3%*cD9$o+kpOi*)DC;dOW4=f1OFpi
zV+y!oj|w_Jp7MxDQ?yG8s_A-P1zdXCkp4{dTDUmU!S!{X?~w~<8qOXPef-u+@vTIY
zw8z7uc=T}0-pXhbeGzRm~T2li3P#QYTH>yu&8y!!Hf0o6hK{qeC(G=L&@
zrSU{nj=ozzV6Op`DCZpf?sVioTX8$PdviZ5VyrYvWbzZt-%FPb#mKtUxqc;Z{S5`}
zD2e4o5BHWc6;IhW`!@PEQ@=8GwyxvIs3T(79?$^-&2Mff@5gRx?H2Q$mEaA9({T13
z5nmKwM^X?>X%H9cZbV-G?RXxHH7m#QLmOEF`}ywgfkA$ETSHn;3q(Z+Fb+#~y}AQk
z69oP=U?I{gdj+JyT2O)VeytTkLt+L4H7u&X%bHE@QNNPipYE7
zwU|<~{YizHVkGZSE?Cvaq7iEsnY!iZtmn4%W-!fhX+onw{dsHt?=C}1Xzl)Au7UFY
zvv2mn)q7kqU|8tJB!OVSmH`uzEIg+Qs|8BJR$+NigLP>y1V+CtSyg$s@|^;FV6W4s
zJyqw{B`pDQ5r7pg6y#webC&=ENGx1DLghb`Crl0D?R`8z!041>iJJA?(Xd@G_5v<5
zJzz~D0}fRZvd*T}+2diMuOm6%lrEFqEe;VPwO?zNAcSqIx`FpyRS(f=lK2-@iX#F3zTDx~v+-{Zgi-bx6me~ifirNb
z_vh^_=3oj?I+hsCU|^2`aK&EtdAKMm5$*Nj1BUe4_%2!q*#YbS1h^M^*G%G0HgjcsCv)5t@n5sB7ff%r^=
zx>573zYF62hOf$7j$N~S2*02%(eg!(d(U3M{dHPnsr7p}`>Sl^sg_)H_d9to+TQ+S^mygNy)jB#!%{V)z&I}Pu?PVGZoH^N!CLou
z^ioao$r@rni!?f)m*?J60T*;F`nz>jw^myH%4Cl$5Dfy3apILPvqlJ(D?pJ!wCG_j
zD|PcJ#KNT>kv+eC^B_IC>u$uGC!JGQx~_dK8+@m!d#v=P^b=AEyfGwhi@?7x0NVBs
zo3YN4V&R$j!gN#=$5ab`L?l2MI$%Sn4ire%(*$}P16mINwnUV9>Ar^n@8AYIRIqj(
z95|IYB*p$!995E4s{PNohJhcJJLG}q7Zpwyo}Cm=@n{!0v3q;o0g5;>y!yC#u2c?e
zki*nz5%gTT5r8`+`;75Mpp(X#-+SC$)R)%6U6q0Pfly3k3Q?KUHljOP$25xz-4Icl
zTC&lr9b1t4+;?LBMu21T*WL1reIULl0d$L?{(&g05M|li%r}Y9hcuGP_K~fR(pz47c)o_
zmb`973b9U7{O(?`0GkT(d@dehZ(B5`KhBfu;nl=JrNC5CRk_q_vRD%y7Cxxb+i
zkO-F^PO~>66#)&fk}*{7?yA`{ngafX{S5fOGq0-5M)q;1_d!8I7`h@C6cS9_LyvqO
zDG|4?S3VRLNwve4=Pau1|ArpE6#-QoUKHq|{+G|%zbQ$a0wg&!QQIf>Tf)e;6@m*y
ze_8gJK}b*@$hr}EBYs|~4~l3l2CN(O|67ZMmNiov3=Z%J)pUhCqI@1N!~=Q}J*-wu
zl-2M))df{ulm;+EL?5XW5#WqEt~7yo9#v@{M9dYFLOI^KObK8IknJI2
zNFcF}NvuX$vo~z7D7>V#_{zu?$6A$AS3#@K!&8yAG8~ZD8;~02u^i3^=RZWicqMy3
zL!qJC6i|rnoIOREI9z|im?%?ClUyD}bEp1Waq1cw-=Cur-Ke~ahvjaup4Y4Rom%hp
z9w{bCyF`oxcR-)mfn!=Nt@XZs_{k8Uqk}bkR3K4G=WUr
zKoSbGW=HNQo%7WYy!IxHz{7ga+vg2Q34`TP;CK{6!G(xv1ljmLgZ4F`W1w;x^Ls7K
z4CWK-Hh{=?*BBrt8qd3w6`3f|vqfSDXcUR#GQZo(VE4kaE=rSp#^@C5qZChj6;Ig}
zA8fi$$|MD!6!fCmn}cG`u6ao)38$q%2uctdF(Unm{SZj%+7A3z9ds!~yMS)H>=6y6hV@342zj)W^VjV2Hi&<@|Ez#Mz6Hs1;~<|2FIX>|
z(`n8mIBp7bYDDcS>pgad3N-`7;$Yph=2u^F?&Qz$3tGg*4{o^5wPw$7Ij7eqCqUhd
z*Kb%~-2{T(UXx{f!bI~P*b!TLA1US0eO4ou*A&$llfK!X2xg#d5CExO&8?|F`vQ=F
z`?S?hHg8d-(f~Bd&AW!iPk!H0
zd`Zg|;iI5zE$Sio)nU-A&ZaJ&BqGjG?RV4N5Re`$4*~$0=2Z-vsL=9KHbN=+;J7r0
zCyL?;_h+A1*$cnw2IupF8dBwmR_G|KGuvc%4E`Gwm`2kxRLK0i5To_RYIFWW8Fu9&`)ZWs0&5nSU2XHB*MM+QF+I!X=0dd
zpCFCxL#Klb%Z^EK*+C5~AbG3KqbO`&XTn@gDN
zn1G@%UEQCw{IaW3XG{%tM0$nx#-L^f$Fr%hosSW^B?D5jVB$8YqHmn#;Q7BU3X5$$
zKuZP2<|iMbEn~mH@7?uUYxY6xhPh6~j^7!3{TZ%d!IX1+@amVX@`5vY!FhSto&QoR
z#qX7uh(k9HX6UrPLVcx*uVkw&s#mNu5ralDs
zSW&6EF&sXme||?V4;(2qY~3#laE6{ejO+z=+@@%1To640c25|Zfdh$g4W!cYa;lAL
zYOfYrx}RHYH~lu&WqY8``wLt6yMR@qRwmY2>8d?H*?o$xFgK*fb=O^_=+5uaho)h~
zeo?g^Amu#WfHS0Dsz_96I%AF@vX~;>^iVo!f4)NPV4g9ZCkz)j+Wz`XoPNT3h?zv6
zn(V1Fe>T98Sls&7_R{$596*o=mss48ATRP6fWv5*7
zxI@CrII^axdxVm#M(KvM`#perm11g>=cP@ht5d9TyXr(PF9t$24hpLn8dji~$({(=
z*8)OEb3v&}oZgROrW~(o!PH?}uW;k27Imt`Bv--gM|Cmn(w?%v9*
z1LOTt$r3J~2x9{BiBYklbcHuKaZ0ExFtjSdNXuQs4B6sP>mPT&3d?b&`?w;@)Y-)>
zWB0E1w`T8*Pu|$wEi8Oc7m?xsJ>96%Pe1X+?{lA9OG*aha^ooR>zNZl{UGUn5UZ9Z
zg`>$3FppCGjRryCNfX&#uzy^FkZhjx_XlS!TrOOn<6(c)h9_UXF8{mb7EAi%deQQ;+=gty>7Oz1p3Dbi(;d$sm>lJAN8HfE4LUBv~v}{>FE9E
zG9?}KbvN$d87(QOSWAG!4q+lUR$)6eE^Dk`%r8xEWEB
zz<4q(qp-+ROCOSjZYw`?cdQ$$wqY;(>_~jr_u$wc#$B&kYESNB`-vPZHk$WXp;WMi
zi!8O`tm^{H1SDT0?O*Q&xJsDxw5nlIxm1Inwu&<=0Vlv(czG$fs}!8^_y}xpf8d+%
z!`1&~Tl{x(!Aqb!uedsA(8mlGF6&l*btW=>ufuMbCdhDk+3m(@wNz*v+)s(YZ_)O1
zrBg&~jf`)f_lEAz1K}1|a5%W|>0w<}%kSRL9WYO6j<_>U(*pn_6hg#SS+;dM^;nPOsx9KSZ=>{$D>)pWYi
z;ScC`mYJA?#SxAr>K@JBw~8a3ivlRcmPU^$`>ITD_iwfc098iuOT%X%#v4;cKtbE;
znbi6odfbo>41#mvT_IIscWedsN{IefF?1Lk0Z51eAv=rYtM^{_#yQyr1}MZ9H4t6>5)c$M`<_lfnvLqu!Ml{j8RMj#@m}c)11M<
z^qH@Z$L`a1S>c3+!xAd#DJUlogpu>a{WD%_n%#a$Nv|IisXwh^^nV@B%YWp3mL20=
zcn>hvW;Ie|@t#YpY;jdr8H42Sc~&I2hkr)A(5Z@;Z!Q}TzMuU1-KwZ5k^K-POy+_F
z!$r-&pp9#)RRu;uhRwqCEycs)^edJJ=xK^2M|PsE#dOo)MJON;v{H-~QL@7@M>R-7
zG%o5szp#oL!~F@|n-fzV7S(Az2&D;ojwwnMvkoiDdZJV-S#p}9CQn#vnFlf3O;Y|G
zxyT$@pdJe7Keti2!|)IP)FlHN)4Xc@G;Xdb`vMejGkxFj*zFPu;z^XhRJ!G+GEdDI
zqW5InhiDyloNo`b?1GhN1a5zA*xyO;YTPH-*y2zkntS811yRIj-s4%2ky%qGQ==Ko?Cg-&|eMqSi!1xAyqr2K7YVW$*n&M
zB3if76me!Wj_Mh4DSa8#n!6f@YaFui+G!%F-7i~0c
zl>CdHzwbmCCTMKRcQ$H%FvTEGO|AA>2OPt#*jwu{2$hDDV;=op0Q17F~Fw?dNYP
z=QIrsQ6RB7RtrBzwh@wKrJ3G%kn||{#|sgm`)bcqjYvp3hAvj$_#a*WQ$~4FrsU+c
zz2ZcnJao(mLYHO6DmUQz$KEgo;r`2#HUWrvMs;h!fB$v-n}43krNpLWq@Ov0TGkuL
zTcFoHa{K1mmVBsfc=c4L863YU0L;&T!x82=CzWnMWjoddT*|YtFV)pKk?ai667F}{
z(;^M5m^Bqok};9U9PhUkA>kQn*eKNDK}F&9GkKrlY%&GZ7)KgGT&z+_rV%NW4r~y`
z)~G~)6?*c+Icv$~r$kMGF_N_Red)E+nX=0`-P-6QL_HHDgANdIgg{Drh!d#kZ4^nQ
z)_R$nRxG@~j*B3{b)9xh_}TfsH8VplqwE0@b|^A&W+-arhd}G61ih-ty)|XXYfXo@
zpTi-uoziy*}+1}k6cs(!@h$0|p?NLSUy?`q%u2)88A
zjYf*KgUY*bm1HHL`>P|c6Q&(yS>>EA03@FhR6M$)Va>G`FxRn_=%z3Y{1uTw9DU@k
zH}9N1o)E*pbs`aOh`GxbQI;%csgxC{t)xFH`&VT1i&i18y){$?ePu|(BJR1@(HM5x
z1u$@7hM^|v$zm8Ah$ND2qTY;Pe+^FQ;SaPsd|&g7(E1lw>T#c6i-Z6;qL_dpRGwd!
z6p5=tdBfVk76G~SO3-Q#_aw57af(9Aq4&jx
zW7x79aAD>9;{hI%7QK3(8KwttQvK#0`+*E2Fjq2LHF`FPVXNH6&+1oLvB`45
zfieBrbNixFuV^qnmo=rMst&1zpmXDU^DX>&mdTl>{DxH+x&G6r^leiPO{|aGrn)ON
zAMz$g_{uYza~n9q;v8lWULl&SA0}Xc4;8w-#ni8yq#W%TlDL+Z>7Tfyz_j$fLdH!J
z6P1T|F=vJ&Ma##NPitYq-vk2yO{y(>tWmB>#DkS_{UWPWgFpI+@E9)qjr1@-SJJG+
z`(QWxY{;~c2O*^yrd%s!1DD#ZZf=0;-P1yPO0%Y-zVBQu8^I{cE%bBN5ukNSZh@rA
zjpJAwTydX*?!IBfVaMzC2Khxpds5d^9OLiHTH@iF4&hm0j;u=)W!W=Lp(j)Do!3BH
z6VWapMCh(H10xt4f8x2Tx$*>AxLrWp(=Pe24ojy~I$JGK=8zby^JO~RNj&Fy|1CF`
z5AtgQGx4fcd)|-$7@Z$jzM>PM2vwQ0eGuT4C01eQB*UT%MQ5N9VY}8<1BqG*C#qkA
z+tiv*IMg&oj7o0^00vLu2LXLsv~n@T^p?)bwc*(oCr1OSrrtVT_S$XL-uBs(DuktNB}
zB2@NN>O-ld#hLH#cb#*t^DoSG-S<83_v`t3J|3^Vc%Cm7JoO@cm-XaA-jM;Y@Q6<;
zBA#SnFIQOn&fI#uPs)H&UO}~c&VB2k?5R2B^t#bfH@sL%c~q%AXz~_>1XoveWi_{`
z>0Q#AMo8D);I%5<{+9eBeUgms&bdt9XRw|$KbvaKcr7?cGeq;S0`W6(YjHBy>oA5=;y=nqiW?Ke+HIPzI~fBlDb)9f}CN_CTO}?
z1zm*eH`JK|8O3~n%JGqEvBu(F<^w(sF!;gr7HJR{Drc`d$C1Vzo3lh!moM9<EfBWqWv4dP1XQtZkKCNpyUdzMO3miUmm8qPJ2;Q%fpapdY8O1Z`7|dBY%dQL=pTb3t`XW)8&h0KGIy3ku&vfl82AEaq6O
zaX+1vjGa*zzXnT*CIgsZfP;X!(onYYhzBu*LAV+~b9p2@dAD$2=VnPK4A6sI7~FI^
zsN_UfamoctY@Y?$hcU)xvQl5lI9cS@q{aS{?hK~Vm?CBd1CfH0zl)1Suwp%Pr8aqT
z2fevJemDlfp^BJ4ffxJH%X>c+tFZei*h91%FF^og5k5v4H*qunLBtOd5w@N(*1L$X
z_`3@3GHY`u+E-GyzN)~XVx_e*Z>b#n$;V?&6X_Jrf4jtTU-95kGv7G5*rzzA89IJX
zP?TN#htdUrYLJlbT#+_(xQB~cA+~TB@6>b_dGIxIs#amVye%|mR)xlsA=%$AnXyxQ)KRL;%)*biYc)hvDwdccw-^j201D`)lZp+^1;!2XoB9oI)nHxM#`trisQ$F
zxX=Mf9NcRhuWJq8gc)y!-6|T90o-evOcyGA#eY4wHS&EQLRkZFgctP!s;flaIIP<}
z4nKWPy&+35ct_9GymJP(1AGA8LQ)hceo2Umk>6XY)=#IT{<5_BC7%q~Ot*T$KYpIQ
z=~0tbN$(Fo%i&gi>*T6>Lsn89@MjQm)7rhUbuN!I0jnk(Y8
zqgv9rTg{F!uDo)qn3s$fSUPjgiGK-I2Se?AKI5iRcpWQw&k^^}G8=D6TrMlHOcwND
zvfsgo`s62vxDf^Ky_}He5@A~xTsSI}T|rd0sXAm;j0NN|!B+x+^N^)Igf9TcRR#b%
z-m=%u;dc3YAiR@*C
zWs)v&(RtYJ;H=)`YF(WnxKLa?GLnHTqt^0t;ckA#Y%?+y)L6CMRE3D)K^}+Qk8kZ0
zE;`t1{;9$J(brhpkPLo*(U|25ZY{KRg`-}dV>}2yh_m=Z;+3=XC*`1y2L9v7WFTX$
zxS^QSXv9raHFAR*fM@w1gw!YwgodLZQ=P6W_*FJsw4|&LV@ZmcWYshNqj!X7x!Tmk
zIS$lLN*rgjvi7!$cXAqYD2|^VA(X}@IZb(hOp0^AQdp%*kDcN!Jm#lv7m@1`)4rDx
zwJQ<3GZyL*=R>M1<#LttS#oKDS)dUfRDP!Pgbqfrp5^o0?W7NpiaA3n_#)1&mcpx>S1@z~z@%&=aZfB?o3I7P3_*nfg!3#|hf;JA05
z%ZpYPC5f3I_|}Cqh=WAE%IL>V+#pTtgd48o>oZ<*&M`Vi2nGD}6Q?XA;S0Im<%3qM
zgpL3f%Ho+1_nnwZr(c|I9@Qw5s$?=OrS^@$rkU;fntE9D6jf{_2NN&i$7dSd;Gnbr
z6A%v~I|Z%sY%w@LR&uJkV*Ky|yO;4_E73;*fT(u0PDpjZv9;6&4ZH}8r~Ca<<2A4I
z)i+O6V~1ULI-56t(0CTz3ybG?2+H`!wQv!8*M%I{f#)~{*FFW;9ixwd+bft|I3VU(
zhxWb+(BLV!@OC(XIrg?@u$s}3&A)CjUW&JCN{qiMJt;)JhhWtn7Np_1^x}wy*zI;c
zg3R|ox7B?qBMkNqxLYaf2)S-r%TFS6e`Pi()mRM?-Fpp3EAl(00ZufYYsRzoC6!f&
z*5g9WQ!+{TBvGS&c>SWL1eI|11j}T=Xv}=^uouTO^zfO~*%UVjUu+y6QVCYzuK7Jm
z<*w!*DB_C3V7>9B?TuL5r??}>ODSj;K7h*R$RHqxkUA^T&lw({3{-DNwVfFDYaUir
z8s;BX=AvE3Ju&1axk~r5;3I|HG1VcBpNN&jraBZPny5_9%Nv!wT&IP7_|B$*-G;qn1ncG}$+B4^9m
zYfvS`Y--?gX+#~-{hH(A3L
zEwoOvr+Z0oimXR_Bt6pCnMjr3+?mxSkb#W_6UjH0r$trD1r
zZGrk?PX@Y4TEh0x0`$eRzFYwp012j#@VSM$U7F4~H?dcC*6b7elq%O=PjZXL6%K;^
zZ$EzYc!Qk*wguLEMTYBZC0r!twgH(}Z}rU-HS5?g#+EhTWyJ2-n(fUkSnUcTp;5PP
z1(mJy%tq8CC`o0Q1gqf}H*yW=4wH`C!{z?w$%t#`aO?Q=kx9(*mML?tRO*4+a*@kt
z@ouZxkvd12m3oY3eY=>&QiBzAwFCPaiV?p68N!r7PV3-xE!=q(T_c=E9`QEg&_O=!
zjr@-I6ujppkcCsORzge-KUs&lzO}(g;jBntUtp}(iV|8#0*!xH;NskLMFcwqd<&cr
z(dW&m8s!+~Q;5?ITz`4>zmag5-P{81?2t6~+FM-;_b?~kc@?YXWT39ieQwg5gT({G
zBE>7b>hE&AiH>Y{qc}j6&ahU!CUFu+!Y2YyY7jgJL5QX#WJ~sG`Dy0cQ!A(}b5G$=
z!L3Ma4ZFWR1CV&1e@lA!9p6AAlU|~#54L6pCD3rZ8qR1efiqXTd6ljmG@_&*&wex$
z{NaTtKHx&!A@@gZ<%(Xh-W3uibXk00lg9wU#gwK|uB=nEw-9PDU;2Uk$XKq-8|uOX3r
zz#Wb?%vV6$8Db|mj#(*q;Kdjyj
z6Z>m!(;N$MLG0slv#rPmY)UW{H4ay_GRJ8nRtt7pGe8Csgg@Gb(;Dbc)gWLzl*FHO
z3Bjh~O{}^tZJZrRnXvM_>sX-^xve~FW_t7d9mfZbimA5EwlN1pmYa7L+B}|==%%aP
zUF@>I_R)j=C-tVB-4z}vD{fK%xD5pPX`B%P%o&JD8Iuq$^0^a6-1}WJixYXUQN9dY
zc1by45K*nsk@wU*!6L-UG?E=qiBCYg$e4VvzNkZO*%eUnET!LTg
zX^QovyxJTs)xOTD+qd88+hlhu06V3x=sMkioZlK_18TGa%>{NaElw3zdKB!Z?p5oi
z0Xx;puLmgKN;NU&p)=l4ABx3UwmPG1dDxJWi@wmw;3F8|W3b1{6S~b!7jvJAOTbzf
zAQ;XInmv3@tn%+)q{y_4yQM2g)xID>Cl0D@f*WR&u;!7iQ02d6K2~HJ0UqN|&7Z%>_aJ{Qcd6eCRc6{EvO))H=
z?3=Q;V0|5eLmZEq3a%1WS6sbA4yd|pk)b*#5Sps^E+ce$o*6mgW0@V;u7KKDC)Ps$
zCL-|i2LP2E9z8c~X;!si%6`J!b&NMm!w3$9X{;t;JbH7Aj&}+r2-=wV*9-7m5e>Fb
zYM)AA2P(nm{FH<5^%p7EN8=2H-AAfMg=xugb^@;3=Gi@ZS*3FQ8RyPk-3b9N8CWJ+ixLNMZQ#+EMe3_^mrFvW1~H{C~e@Gen>M&*Xt|0u#%#
znmO^91(>qD9oZiJ7V-UzMPOHN8hG1nr*WhrH0JXCC$}TGVh`4w>g1kn8(D+6u;?#^
z4+6}qlGOn3p(MWaOB9R7{*1z;noO)gqO`{2EAHYcpTC4kUfPwkgHG@XI+BtyAyjw3
z+vpW%2z|}_QGf*A$kTh^8K3&Cr5%Gwr6es|QM-`m_pt}tM
ze8M1*2`JMMjn)ak$far0Z57(8=jMG;)9%V-Ix$}IZZIe)m@qqyfammBZl-Rj!Bb5?M<`BdEPCK`;iUG2PDH(CKHhioCHqgf>3@p)+^->vj
zA2^f*=&ACxcn&cD=>8YRSD`x;y?*{IH`^%SVfNhl-Mj;KaH2zlP|HrurgMgYNt#;i
zM>vOUeO8|w!Gy|A{+qS&pEGk2dLkPq;v;X!>EY8$)7)&@d!dS6nkoEH7T&vv0!j+G
zIA3hU#%P?4?-E3*=svWe=!>pnp*Rk?s;CTSR
zZ878|7&mZfWP>^sPjm6kbAiX>tcpftgqU|+`HNk*{i#R7e-&GCMa1!vf4q3D3!VgP
zzFRi;(_T-;ZC1%o?NELo9O*l4p8h5XIqzV{0^DVlq7{9Sjok&jDR2l4moV}Hef=W~MSp~E?0zdk?OStbARD$)mmkj;>}9x9Z7{ICfsQ&77?rjW
zZp;7D#!)BlPv)%wABh?W-Adsimyu5c1IZEzDG6dTL7OY&^
zm+*9S#uFDZ9xX_w{VMe!XU=uu9970}kJ4ulb;bnNl`)cSN4ng~R-%Q?@Z74czSP&J
z%mG4{&N92{b({JMgI@#it7L;pT28#k<3@GwVJquboAI4EN}y`W5jR$u`$oHWF^cVL
z);ijkvgbEl(xOt%r+iy3nvA?aoEPIBOG*nus$MEupGET|5`#2Q0<%o_gvZ9ej~t%m
zQd)Pr7(C10)KL}C-O*OF43-ONT`@Aryv~;+xMj}~mKL7OUoBwGEx{g{O2I>|LD^{h
zs~$YG*1B4Li9|JnG4xE3o%ciOB}r2nx*5@%9ze
z5~R}8$zS2Y3BAEU!37QVCC+4R^Wzh-p)!|D;_tHaTo0@8(hVCn6PxGHKA_VX~nATvxY~
zns)l0y9HOKUx-#-Iv9A*463tI1GELD3|c^#!23g#ZNq8)?%3f4`N?3kzw^5Z%6=RB
zV2JO*yOpdzpo=&(A6UQ|W=_fLoQ9y^C|4mnf=cxF-r(5({$4%x>_xeNUdNM!v@#jD
zOY75W_|x{3joHEbxa6EeUOZ3Wofe3&W+#fl2IztT2XDpM4|9ex-
zFf1Tjw&6m}Z?$oIh)vC{?^Dt2e;?TF`u}KG)%Y`d;>ad}GfZ1nojvt&O<%*IMkiH4
z6QTC-?|fZwyut5(ihmsbdvF4qN{Mw=ivE*q&f0JUe(%8!j$L(u^H)R|`!g;@Y+Nr$
zq}kzVm#g@uJZVp_L<2<%I?1t{KMe)PR2-G)K1vFDui^v>3HCX}H5U42`&DN{^4fVz
zeyk|U8_V&7E^lvsd^r9*cf9nt24{*xsEvq95w=EM^AsXMsnY=lNmLZLVvLBxO8Woy
z;-66$Er*MaMZ|5;Ma%^fwK^R11!#5+Dkd75FKofd_ldKX@zZ#4EQffhA=zfg*?j@L
ziqH!f*9bBJLsIx&T*AJ~P4tb^jO|U%B8sBDX!B}V3xKWO*ea#SBE1N^JRh@sJSAz^
z*%y(zs*>>IrHGt;bUqOa;`y7s`Klt1un&yW%j}8g?bE^y(y08J>MFk7CJL=7e2>5T
z^PfyUk5BIyPh}LPlk5|vl)=mc0<%_idCeqvKgy#j^%6dV_ERJKQPR_*^r@V*rrwC9
zLX}qtg{c&5^q9qSV&ZF
zeUL*fTCkV~TgW+SYJ7lD=;5cXZ$-R#d7~VWQ#R%|ON>@7rV0DxnF{J1cxTD7NT60V
zMhsHECWF**K4LHE!*rG#j`F{GWmefnothxnW+w_t@@EufD-x)2>L6EF`i0kV7X?Mf
z`13cF3*x>)!^XmMin0|J_Q8kJVr0eU{n9s@6@fk#pG=FkuVSJ1ixm@c5lXjqd~Qt#`&@350$OkV
zd3}pV@*0$Ek^luDB}X8emSrbg^!Kk@?+F#p8ZX4Z7OB$YbJVnye9atI#|%V(zwOLd
zOsXW?9QLl>dX^K-57XmstjL=HB}$x^G5)i*zG6|vsx_tmIaF_~5xIl?^E-l-ShDR>
z3*buEbBe&%DY+32JfU$h>{6P;rr3wYHS>*Wm=A<|w`+^-Z{1s{U7;r{OePN-SDa5P
zGbjwC_F)~g0)`hNd`n`Q4&>LXEhH%QTgO$9<5KuOg(DMjKKnwiDmlV1B?r^suo9E5
z!TpAxVD%kpWpW?R~H}pU9N^2RYK7p?JrkX`jIP9u2*4)cY<9#?1R0~O2_*OoBtb*
z-J(}g<}06)ul+)*P;k&rUxiXh@$HDlSx8CPuiJTDb)rIP_I>sDUd5KY&kT=@-b`s+
z_~-x?yz==_L^WQdRSWxurD?T2k@#GGJF3XweWo&^j#aQ|A9c^Yhwmt{7e|%NR%^Az&AD8M7O09;GSUHc9?{n}`O8
z8w#fz9OBw!kfL0D?Lyk%FZC;iW_s$2V6iwjW|~vp)%rxbO4ljc3DOpTZ5KFbQK5G}
z@CLC$N1|UobRv}M(}z1s9HJw~TSFT=%9_A^nYs(tf)TRiJgI?iWx`a16>QS^Iwrf}
zaXnX`fIZT;moYuj(wZjH#p1(V(b}2;!liel#gDOf1n)IYD61IU!6v8oYPlCFHsoIU
zolEX6x$e{$`-<=lRn03CD9PPjSgMjQn=kXVw|w&c#@DReb=qp$P06_WYj^sdbanSS
zwfgS$mG!i7CDn6JB=n`{=z8&8?C(F>)S;c1v1pg=xg>&J8W_3UKDq=h^QTuAr{6v7
zfA!?L+jd)(HedGP1DwoYMM2-+?bc0MYPI0~eE0qwZF#s!9y$Td3;dk|X{V9+Dt1
zP)a@0y+fwyL-XS*o%~&Mvo*Mkq|qFLq~Gv?6LwSI1~VmfA|vBjeXr(xr*Z~%%Jq?e
z=EKW58K*uyx|RIMAlkSlas=WbFEoWdi?lLLXil6t4Q&ww7}%Wi1c1Ym1BWf(9?w}o5h_W4xL0g^Y$rPA@t8g
zz@Mferyi0x_&t4k>-OY@*<=UT2PavJ1S5%F@LG)dGqmSW8?iH2_-@JKvmn>NF9Q`H
zcZR-?jR^>5^B)Y#5-y0`rPzOZfO_Ge_Y=w`@9}%;A@+u-oIm*anx=tZ>&9fp=QO&I
zdWUP--5Ks#nY*Ckg$I)Od0^&=P~@~d`H8GGffPkwmh<5KJP(CDH(%;JeGIaGYnAyo)(8f(R(z@(*&`FSE-)U)
z*RnqSbp5{HlgLh`yVl@U98vQu&FaG9nX|=)qG2+b#t$FAPJMc|VR%YfHSN!55!30-
zeAX@504WCJEiFxf<{!x6EaEpf_)osPOm~Zoo1H;r%|u1Er1oU!yqTyPaCy5G{Ws&K
z+2Xa7xA38}Jx-&EciVGPsTps#IUrEd459a_yEqT~EoSj&Oo6rbefQ`ihq5n(+z0(!
zFerxUm@0mHrj)iX|59yn<*L|>kLw%t17xBil;H(sMdU4&Y@gWp=mq&yu9r6vpzwU@
z)BdHNiofgfF5nB!8Gh--i2V)sy`7ng0`m%mS&aeH{-;V`KY0bmFUCR(ABU1f<~9_v
z6p<>&*;A&vcDRvwM^o6?LGZF0bi7S!ea?L@y#2@9jM>rma>}K->0kacd+<=_1563J
z7rVn!(S7>#Tg&G6=p#z=ucwkC{cXBrSk-4J`C8$0uG0K}$;pH~`L9D9wBob3pYB~A
zy?}UhSY$QyS@+8LzTOog3xKi!QMCP&S#7qk*ZZ*!_IeDfhoD^M5!msU)xLSaL5Z#=
zzE*(w;<3uA$_22u0_K5T&R3Zr6n1VJD-8#(SAY&Dp6}XEc)yD?3fi$gRh7lT|0AmN
z^I7ar`&U5ml@@haHnrU#`Ag)(R|f%I4iB(OtM4CXf6kNJ&l33>RQ1E@%fb9r2OFK2
zvI%@a7&+7TuM_X}*ksV}W_7Go|G4|-S0d%^GsDi}_}M_gZ}!3Q9Wg$RId|@4(p66H
z1Dxa4UkPw$*u&g^<=lJ5|i$;Arwj4p|8m8EkA=c^B>ScM%G}A~YWcT*;
zMR=BgVA_i>)@f1^3yK=K>-7FO7?%_itsKJ{)1}a|=Ou?aJj81T?zi23)&qO5ptt-w
z^w9v853p}#Fk3tuAO;7^izgqaYF``r*u|B;x!S(w^
z18F#wjs|3JyXgMdX)xBeyLaQ-c+O3sQK5(1N4F~G3KN
zrj=PMGkON9j7ZV|=r(dFpkvAgD96K%L_)(X#`@;~##kdQlBjS$(&L<3t^|}8m&|F8
zJ1Jh%IWCO|M{^qCk=HKg$@yGE)|EsWDA&#cq?O8RoM!%P(o5DUlk~?^3R7Ss>dDig
zT}#gd?B&bm^2a_7G?`^?n70G*b8;#AI>M5Ov;EMnc_rf-LOX7wssGy~HwOn&i@p|j
zTP)tHw9?9&-%Y{B_SEFgZJmWX9~zIi3kc7}#}7y_pYkBype11C8XI%*}KOpiY100
z-fZ02yesb&PG|FW4zzR9yYi^G@vrz?Ta@QyvacDMQouCLwBrD{j%eM3}#%e&a{t=<@TN_j|t%!*n@ECL%K0_tJ<=3;&VC?<<>H0S4SLA}AGhOmOW!zH
zZMT{^fXbb-RCG)c=wk_BZwz^#qKu@*R?{W$|13PusOFwYBWOtekWbI7
z%FB^iZ<80|PHv{Van%(K5zQJC5pANK^jE|AwQc9g8RuD_rKrd>1;=Dz77wdcnb4bG
zQbbub*AAi}S@L*>j3DQegm1Uiq`8%E%(_}n_2!d#Lc(8Z)|$#V@YH34QdRTskYrwh
z3N~AbGh~%G)LGLN-F_zI`Nm6)*L}t=&{Qv^-FQB+w*aw`$UjkSLB$wb-b}m+ID5(O
zZRa0-Fp-u;PZ+rUnw%|Hv}lSRH}_q8kT9ZT(JGRucEUm9Qb17b4PPk(i-p3V;uG@V
z{ned=xu;6>)Y6yjLoQ-R1ruQ{)3+*e>gJ}ef?mJOD&Q~%Iu}HWpj4!(7bG%&d@c}argU^
z<5rb7FJJiJXzRTaX_#t*M+WN?^_{-YR~i*)W$tenqzd-W$mf+f=AAiLCu4JmK6l3h
z|8~#7-aNEVqWSYjU+ss7FFEg?Bs`z`_^aDYl{kDdR&C|e=)t7rgW;4W`u$5(j%)T`
z-?iPQe!6uOn0ge{+s=2cOAkg!-(~6!4_jqrT&SFl=ij>`bHl!ipV1_M3L?3)o
z7Z7q<=}m+xfqU?7K!p40%)s3$?zfWnd|^tdR~jhbvV7pRQ`&EgR4L$%$h+4*FF72d
z2;BR3|BLyX?(kNR{^010%f(PzdqAKFhtT7vBL7e+eGC{X7*dLhUhQ!N0G@0TMYY*A
zp$zp%TxtWt2_D0Uf5bzXkq~n~H=ePB40D+qEJ6UQNKG6JIvbp6rx-U&q?sy9DgV;2
zE`bpNI4n4UEVAceygbD1O(GSiMSFg|v1N+TfReueG(7+Z2YU63CZdz|RaaE&hC)h1
z`8P1?N0m=JuRzsWbJDaIH2E60SxfA)g(OrapT=Kth{k%B2piw$+9bk(-HaO{J2fIP
zHxnd007){&aUPq_mCKHMuU%O@yI`>|IyrPn^&t!J?RD548#U1nI3YHVFZwcXhrCVq
zA#=Hi?|6we1gpp5i$^WkQun_f6n_5Vl%uJNOAKx6?;rAo;I4F4*|5-YnoD&`K*JN~
z%-|i?sYdW;v8+4`(ZT6Wqg!Y$vf6VVM}t}F8I%t#!;LhmxhBu5u;zCL(AJUj01-p=
z&7etM7o0-<3~3OIV?(!UtzaU~*I#a?AsH)R43&J$8vu-gqTk6;A;@O);QaU78%If;
zA-D5HjzO(oKX%o_u+Yjv%GOgL+$&d~iGmRBb1T-TvS_RVt=|v}Mcf#B5){qkPg9B@
zqRha%Xm)7x`AfrAr{fYJmGlcSx;rpU@++lmI&U@=7Q>`zZS}KxJuZAf=C;1Vud#GS
z=)z=H7${C|XwR{cFIK{TmN|}!`vP?dSKsv`UUCBHsme!Kz39ygtXJsS47Mv{(Ujfk
zNIs2!p#M8X1TpaH^B$vb-uK4ee-k_GT4H>*J{R*@JK+lQQS5$n0f6v3`hBQ4xYssD
z=cWzMkVxiVeC(B*2BT9!2`RWN3p+jS);~&
zl79#XH2ivVLf}o+1-<$kJ035s~3f;-nK9WXUoTm&Ze;j3LqGQ~WrFu=ykS@-SDlzJ?A1
z?@SVJ*5{VfCv-w49#M3s7}{avd3FP`$IzDh@G(^b?fg@m%cqXb$Qc;vko0&T>XeOW
zgc->G(Kioc$kdWfbu!NSjXbzEqT)Pasrt~YnPIKUkdYXa@-zISZ@{%-;8130+^qNh
zvOWNeIPDMG$mv=C8QuQW*BAdlQN+m2V6gp>E-Wl=ykASp*=Xt0?G_gL$KTp$fCUuL
z_LVzDUWxy}LNh&he1u^Z)t(6bb1GaS<<-Y~;c^f6=wp%jV^Pr$)c~5>!dMJ1>%(jD
zs*$X@ea6pa<1ozSR_{R`0f?Wt$p>~-ChWFW0JjLk^`6rI8U_KJt07b+2W@w
z%
z2ARmISVzj<`r}mDi_?ErQ{OYr<$Irf&=*eUY`Oey`a%EC|5hHQ{~zS^&c$bg4}SmL
zUH>2Cbnx%*gKwXHreC@Ky8SmyW1jQdXVMB;Pr{peorSZI5)T?R%*IPLdK8+7HvXJV
z5+-=WbBLOml(G}~R39Zr7etDg9P3W0PFAaxAY2v<$+t*XiLE058e8LwsoI-Y4R+^Guao#Hr9$+%Nr$(6mI@n
zPd&ya4W=I7A|5CEwlqp*364hAl~&&kpUE_TJK9WA>NfWDbY5)E?@kUA6
z{9Dmlo%KD-Lp}-v`|Uqx2eKR@tvsdL?Eibn5{}=sKVaj#bNalC(`*BvKE;#AF1oWj
zvdTxc2#Ixd2IGeXO_Tx+C2|r-_+&I~9D7utJfU<0jU6LPBEF4viyF5-7AjQ>wbHX6
zP&unSKVVH4WF_tUsa-7V@KA=!t3Eqr%zJXipkFTg#qnE7B4pG2Xovapr^@GNV>EB<
zPpa4G3W7#?^4)f776&2o9pR$wPl$nDKbBk?kLFtJsPncVlfIX+YVQnm@!2}B6Zj(i
zPN!#td%?e|iBbS;{#8opWe$xu**%~2U*(FwX6)+sgWT^s`I${($90HyW6*x{2fCY`pbX
zh(JophiTXZ@j3FEaNiS!Mm;ipx0>6kKG1pwE*f`?gKd}&o34%fGG{u6UOTl0y>Y#I
zo&EK~6$EBF!5`{sv8j-hjeR+yaY284{Kza~a2d?R8(X8$$LI+njAuy-dyu7!Z1C3i
zmk1)Sw-|wUzt)Ep8!WwKVP%vcR$F13
ze!_S+-MBwEKN4fLaQX0gWvyiv%id7_6%A#h&#hj7McKq3jS+fuxPpFu88yDCCRHPk
zl>43AGu6ttm6q)ZaSb#mm-Z$x`{v>GrjW0Yk#d5+t*8Ckfp
zNng}FDybY&jBwEA&h|C%cN@g9<%th2U4=~$u?XF-%*{2C1R<2#c>bzi-tt?21s6V*
zLM6AYBoEC_%-KsmJ=e0$;Ob<9LDLh6uV~UT4gptY6$W#&{=C?GAeHcabbP|FEkpfs
zPj_(n1t1ZaFeyy#l
zx#Ir$Bt*!RvmU%h9-lhB({ZM!Lv~G_(Dh?7VZzx}-fm%D?*4xC=CV(Y|J8T@{`Gk0
zC~HPP@?d4DN}#;G3hIv`5ZVB}nP1?`VtApnz+3giYwY$rB|nz5KFEwKnJ+$%aw_6G
z3N)QOULB8*wp|;qcJCKK`4?P_mL|MXxfoiW?e|UsX%k7|%cVj!(w5&Tltvh@UkjT%
zj3)kmT6MNWHhbLmFJ4QrZtAUbXu-pNqUNQl;DNLY@r4e!bBJNSNJcylSj7$yqvm_q
zck50o41Rw*`6>_rh#r(zfsM}dy=U8Qx_P`=$D}?TNTjd;mMn1n$8{de>^M)m>6A;)9IL@bWM
zY8^?L{VWQVAo}TqqL~*GSV~lH@aXqUXU4*I=?_VLN-yM
zSwC!%W`NdL$aGlYUWD58EdgXD*WeDk=WtE5Y2ll4^ytYrPWcsxL8Zncbp~z54^`6zt3Y3
zLJTm~cUB$J3y6$K!iSv#pk-sgl@&N@6>b^?m2kh(y_YaldqMe#tnuSG=45?JNL3uO
z)e)FsH8Mgl4No_3HfLH&k|Ic^LT{RQJBgY9B-&xZ*eAvL;GRB(;lCutTjJvqAjDO-`;`QyRM
zC$C22KrKNd8i48%DCnUfl`KFnY63eVNJE<2tWj0ADx)0Bt4L#>KFnk7xW(M{@7jA!
zM}j%(KHs`;s>j7z;=mqidj1Tmq7p%?^kN~WFhR26<6#7M=!=*BD~1`eN)~FC`oIia
z4&b4*`caSq126I@`~2JQ%~|4*MI=N;Hu5|*0XkG%q^9hKV}nN)aSfG>7KGF!>RR%L
ztGcp0fdU+)B=Hn(iyYm78pE{L$_56BXuMBcm3a~gW~s>Lt_ZLCeg?2Wc&mecM0hs?
z4o9R5#ufkQ@);jd7VgME9g$fPiP#iF?yH?7l^UlZB*r*Gx#dH!v;GxVxIq61a$W=K
zauTYl2_^#Y{(PuDEoF!WFt(tl-#=OPO8d?NCAH~o$YJeA;6yit;jEW9wm
z|2Oq&JrZ!`CxdE?hgf9u$
zGm==^lAu*=*3?v{=UUc^3{tF|zh5penXDzFbutPRn?FVls^HcFzl+yIDk+os1s)1S
zSXF9RBVd<3lbUDJnH8<_+*U3&`4>ObVXNwntUL|Kx5FV3js|h&hRhEwVz)hRzm%(J)7ht`)*uy~G=P*utZ9ug&sa!2N0v4+lVW
zc#yJ3(S=u%D9;smqD5iy$6FL)^dk1w_v3}A{_E^cb%Wgz^{@D=W$tkAx3^D%0cNnL
zM>ehci??btD)oSK#F0Jp$3dAt%BK>3$CaywX8@#o!f{S{mnpKq?zbywOegy~}9z=IFUNj~5m
zDe#O8IAn#msCbcbx--?aJ!AV_A1K%I_{uuS)Sitd-1fL~c9DCwa
zUd3@!8|2>4ewFyZ1ZZWEX;zWFv*yGt(&Wy#c5zu-pfTLlt1p?kXd&**JFLhND+{`&
zUorRue{!XgSEM5?{(&jJZZ;|EEuY!gZ=uL0VS9-vc_+-$X&#%1q`HzixXY>Zgg_aKV-wc#QW2PAB29Wi`6PRUoQNu34c0sFL8?>eG9uF*`X{v_z%n5
zv69Xb%&N1(T5t&#UjnAfp!_0O5v>pz5>$o?nO_}m(COkwb9dbiFuob48O4a=cDA
z6Xldt+T@-XS4HbYTrs=A}dz)yjWWG9&2
z%HXTZPnEBYp4jWYqciw+DkEoW4F3yk?dK^dY>r+AOEX|eYT#fH3Lv3%X(?GvgM~fF
zSO8w{-Q0wlDsJ{fi*&(6xnG;-YwHX|#1|j%4|^TSWGH;BK#R`uL0*Gvl%XHK^xSiVYJ{
zFf+xAhCLHp_*&K~__77NfG+d3=g}pequ`#PS`7PLhIK7(w$ZK4LND0bcSgjk$v%A%
zIdtls<0D?~j-N#nwibm&5o}Rtph>WE#TV*3bB$#WX`2oPDLz^~bOu^|DTP>CU(Dpk
z>{nZ!Rs8kpd$B1G1P6VmHMkdU{B37u%ybmlfR$7rh`pZ1PQ$fAbw!jngEf|l=%%t2dH1pe_xzOy!&VA0?11yqT5trL
zF93^eyYFA6H~ugS0SSjHru$;|z#Km)WQ87h2%GT~t16^OZFy=Ut^vkRaZ@PcJ;vuKQ!#+Z!pTjH)F*Qal&cW=D0
z-9YV)k43>ONiY)zJn9HQgjzf#Xn|yb_guxz768oBqVU8D6e7TSnKUs6qM=pGz%Coi
zGWYu7V}OP%Cb3y(vw7SMJ1q5-PF5B*6%n!c)IALms)WQAh;7P`j9iUSt!f^Rf|>xp
z)7Q{bl~4!LVwL23|30XpF;vWA%ai0C%vdoZg}2uX>R5oK*I)s1Ag?Jb3;-%Dz96_e
zxWg7-vt#P+i1t^A2_<79zwrEIe;z0XJF~L%H5yjUKuw!ARhKjqS|RXO2sa6A1{&-c
z>qr}zst>gGjoSpr3(nUo;5)X;ROI$q*h_zA*ZhBxZSVj4*tdwS^Jm9cYIjZk+3~@F
z?xa1!kqj)wq<5|XB8Fp;p)ue8^)%uC#nHL=Gx`7j|JsRdjA58#o8vIdS*W%-pN~1K
zIhFG%N>QI}Hs+Xfjx|Cml_WV;+d@tusgMe(B$cGn>FwwH`wy<$>$+~&?e%)Ro{#$-
z+H?&8PKJJ-|8&N=1lV{E(BXM>gxgfGaoi*NM6Ak%+2_53*mZ1oVVmRY9=o$>hz`t#
z1`Q#vX4k?>mD)prRCgTgoY})h?x#@Q_s8gPEsaTG&?bK8)RnRK<)+`mt&Y;guN%jO
zMkdZd8CMQ(xKDomaRW6ox$3e&LMNexJlaPBamZ}iT4>?VQ)C444(RIV`)+RW_cA+A
zfBBiYbX9X_(cw3uLJX+-^ke@u^m#F$V?(H>z$E-!w7c01h^%|9-j(
zrrQ$XG8HDMdGdPU%xb;Fkz*@Y_6*=h62H4k0ilCPfC;Tg?E!NgDcXnOfhCfjP8HfP
zkwYb65`eU>*?!RCv8G&IfL){rQf<#8GoY6-ieW3cb~PsPuLi2UHTi1$PHUVjjd<^o
zzrR4zw#Mg!SBq=?ezyF{kCnx?0|rsxQCx5)tv^J$5vQhxv(eptVU!sHUPeKc!++oLBuNKZ4-R!uJ)7A++`t-jGH&S|(<6x9
z2q!iEszO5mi=vvAUdHb*4gW|WHg#NT;){IZ4fzxA2Rf+v_4%2%6n4>qPp=9z7$-`34Df(s6sY)y?l
zMfS|kMAqCN
zX1E~v?D|{Am)~PEu0PtlI{5q$GoABEBqv)Xn_JfdEFuZ$>4}4z^4U*rmL)D5hc}-)
zQuAhtT$bm3am=E3r-hUAj+7het$t&z-s}1&(>$T8%lo#|&3#O&bYt*&!6x#mpfjcaZmtIf)Lkn1mKAy1M1up0e*
zIn$^{SaA5z!TbyH&j==kjSaOpD}WXr)fe^Kp`g}8p+8{Y#QVEHYu7ummvNL9-+(vK
zr=FW0z1F`htYo^ugD9J}4JXbjT>b5TKgTB0jpiG#Jyd#i;^*tv
zm0_Rl5|FL1oJovhPfXDFT%Cyx0G==f?Zo0mp~+d_+wPo41&6BV^*XrvA1zb;%hm8)
zrOFK5*-w#3*oitD{rW0F_<&@khxQ(Cq@QA0#nEe{t|o}{zMEz}n}kVIn?-&`#5ahh
zng`=qENH8}m_@YNg)e&-{7iW#T)e@+bv2Hp2!{BN)9u_e2Et^@Hm}tuNl>X7Ph14Y
zZ2721TB~EI{&%;A^o$!2YapI@)+$5QE9Q`Kt`M-FS{#Of0ByxE9H{slY056H`$@f<
znx?hk@(0U6mfF$&sxrqS;ezW(xqnH9)N)UWNcrT0%py)PXQM?#d6q1KaX^2Jr$PM5
zVb|%|d+tfFL<|97a@Qrsd-TyCx_8A-n`&Gi^{C8c#8<7N$7PH)rD0I_`T^RwRW6}a
zBYy|lEO)G9D7G}`fAYB;^2*!MJ)_AGqbff|w;7`v|797q-R?g?hpE{tA>|6(S7xL8
z%R@R;p3aQ6sAXNkS(R1`+m^m*RM~s1q7Ao_LFlXce(?oPf4@n9MBR`ETc;@$Vn(>6
zsNde`85er`!KSrLC0e1`!6%zL{<1bxFyd-a)N)CSDUP9goELL!5c%h6t<)q`8r+HG6
zP}^WnPdxe03GYw~(UY(La^L*8En}`bs=>a=d328kyG^2qc!#{z9svONnH3Z?*>0yA
z*#RY}y>DneR^+r%qZh5TT4l+Q37D)H=|O&Ii?#jaIzNADpzyd)Q~W4%e>A?fH1e?N
z8jF?jl`H@WNCEY7Kgr2oJ*nG+))8yQ?N?ntn}c(-+#`61}F)WI9rb
z)M(fEbg7$x7(2G(^Jz|$j=gIs-YaEP!6&ssMM69`6v?T0BeF$?GtnnB^_HJE#`%|B
z{(j?bSym-uY9r_Z|IZ5>l
zV>as_nsr}4$+5~NG@D9bgzS+?c7vZ|PcB1i>t{rJ6ul3PMveAak3_R8cB~GxDxM^|
zA$20ltq_-Yt6Pd2!M>HI)HBz_-9~pCP(o^cLaXcyv2}i$6k130_3*9fKkUATL^?6wY
znUrW?`$SJly954j66?{cl_zV~SIl6V##f|I1vfdRmDTshBpkDQP+bx`Ao?l1%1)u`
zPWJeEqk@}G9Tun|c~Z8=Aa??66taj=uk#`3)49DNqPngP2AQ-S)kKAnAcOQf(i2A^
zN8ddR2&Uef9DjXoZa_4SqyAuB)Ti*w^ixyMx+ux>7>mNpB~95*4b?Z}ma!#%o+K!6
z$S;n`_$1czPsXz9y+y3*dah@9-u!B6FRCD+9g9{m7U$Fjm=);fD&i?lx
z`F~{=&l?wFs9O1)MqFHXxX((Wi6Y}(*6Is$RSAn`^1enR^5t|H)Mb;z&Ayi-R_hKd
zXL_3pcR!5MTaV7WT5`>bA)lxP|6<8Q`&2K*)_9VzOmkS{u5w`Yih91G1dE?9q5ART
zF7BRe)8_k`aOSC7xx#I^t_~{BNV1)Lr!a_*Z6f{r*u_c`Qf^}_vS7?8
zSRoH=It2xAFi#%t#kRU$1B#F&F^Chi?A3pgBG@rqFWACUcD;93Rp5b(6ksuX69nuc
zyx;t0mvUe)0SKuI^`cwzExa}&8d6AOn&U~(I1{t-0kb$By8i)_u99C>?>}r7h_|5@
zz)9FWXMRx}0vjA{1|RuT8x@)q1>J+zX1m^oau?$%r*gx>xj;*&KI;CS9i&qmr4!8Q`
zwNDk_$v~IPh?e%7l#O@4(Bk-)+X6h6Ax-FJIr!bOkS{_osTRS#~q8)6V%YbSZG`)M=Am~IbNbpQ?ck~
z$<6{IVEQ=&mSI)fmtd#4COE90tW_(ywSv(|p4=kh@nie>aqZc)dCh_6M48B=b$KuL
zLZrMy2bcCT32I2Z#U688Gje|feOFQk!2wfR@Ey;ptSVJ_
z5KuXb&wW4z7n(!vK2X?)*Dwn7nrfVi=tWv2dlA%okx_jEJ{=CM2BNDzN^U>La9Xck
zw;8)T{FX-<$C;ub!v3B@I3^CxG^X7$)8$w)p^vO60EudD&Lnk%O$ZPkuk~GNvC2zw
z_)6~C2IH@8}AILJFnt=q4=|>HmxCJ*Q
zq3?4MM(`{`w;aALH^ItUwWp@lv(ELTJSOa#UL)cn+&7fHCvT*@Sgw1jS7uzhRo$;`kF{JWtY}7@`R;exD8Iti@l+dv+z!nGWp|X<
zT35?@_E#%Z^_(Vhl;IEX2Gfva{O1jimcd6l$N<|glHEb4ySL$vO3(c}=8w2qZ;a;}
ztvYj`cD(z|oHc;P)3TS1ZY8U8YJV}`m%)%~99#3Y9EZ`5{^VOYU)KQJKHI_m`pSiB
zi?+RH8#c06zdt{%6ih?bw$&;5ZOt=z(4JrLU~JWnBJrt#8rq096BJqiyuOe{ep*ub%g^ukTRp$Q+aYtj`FQu{F`7j&Ls~7ACQYU+n^Ka~QKM4LEBr
z&GdT(QZ_W#(t!ErHvDAXs0!!+bM^4MNBiL>bCXXIZMOsG4w}uIpx#RkGHKZz{p=uK
zmSK+_unp?kaw>Fy{#b-)m_w4&0-~>y)uJ!-n(!oX42Y
z_AobKyMD!k^<0+OA}DYqL|&KULhjOz9lakPB41S66H>81^3?`&=~WM}tpYu6(Kv8d
z+%c`k5
z_d;uU#M+~VQ*S&xQ0pKuR4<}4b(<$|+i>uW-94m+o38e&BGs^nebX%3qL6#L9l(Wp
zOmTh>=c;JHN!z|8I`cIVZe~%wzkonva_8ei>?Dn##H+53`tpY!RePhrv5{EwgaLET7vPcM`Z-bh)lLM0MGquX|7iucF>kdXu>n
z_v3y3Wl_`XZ|gbZ_?y+A=Oo_{IlBLe9JhFP+r=Yr8XnMWe`kbN#}TjPm+qYcZ6v=x
zmX8kqj!gRSzT%JzJ~u|x#@8x08Xgc}_nBP->;m_rELLgE*$?-&*iz*R!RBp55J2?I
zs~l#gKUwJcC5B=~K29@X%-@=>h&kdlM9ed~9-%df4z45Df5yXWe?hk
z|JfH-L59_(EZ{7ZfBsI^`P^rZ`Tt@;ljoTl-5@E5t=4RZV#7npSTpsh-I@G)gbGKC
z16Cg6cp2*xO)M&YR9>k>KC8XUM1Ogrr!fx!A+~@iE>2GdkTgA5Vh?+TJTw7l0sG|igbNHo2WeCeVe`TeGkLV3S5oJ=fGTYV;5j@5FxT
z|39R*-9qhAph
zqF>VuxypWEka9YM@kPIo4AX7RVs4yk{`&a?*VnCE7%&HE)!S75G@Zu2^gH`Y`f$M9
zd8FCBUo<^hetH|p{GC1r?4iNg{gWM0@Y=U>T-CpbxO=-uWBxW2_c{aF-mdiedd)(7LOrqA*o1AI{=(
z^hwPB=8wCKaY@RNKO8f*f3cI#GDNz8tMt=mo%A2~tLC4VE!;=E66TOXfz}f6B2JLy
zBC7OvV4c=LZ~#&zzNs!zqMx9DgW5kxk=#3DN{9iaGP;_P37is@NF1GLcq{Xl%9Cbi
z*1=9=%50OfbRLx?sT;FJm~L`9XBfY>75yY#ST|`Hpo8cU9(Phct$qLKr9*pIs`RJ1
z?eVRsvh#bh+I1IJxmo-}r4w+^_dbUuB~8xj?hZUY&T~jB5po6UO0wmnH`22)mR+7~MZo6G
zm=>Ls3H?mJ9)QdG>73`!`av?2X(eT<{ssxDk&Vsf+D?5DFJGB9*X5S8Gq4F
zfQhG?wuOit3u4Vj(?vHR>uDMaU=JTlIz8KX^94=u(tW>
z>@r$<4#_Sil_EsFMA$?CK4lc))zg(iWY_r1kDtn3v&|400c;vR+*mwxqNB=v^}lzE
z_urz(eeepB)z?9(Nwdunqf3_G?xvl5nV6qZ6MJa>WIG5Djw3;&j;11qp4l^QYU-8)
zizCV>S17loBGPe8EKKfi<%N4nkNsqJEQ*CH>5(Slm1CJFjNVGL)58(oU&^JF0INx}
ze@}w=5$z0_PF#ip95T1wSWfc{6Hf)mf9gopsMW>8hzG+@sy1)FF#m+(JZ1*s4#J&Iy`f%GaYF|0%ow+xlYG
z;;nLzXn`VJqE{CkhGAS`w}PKaxq)$+sRFp%ER9VJrfB#&pxK#@SAy!b8GLJk$Dhcl
zM$zw)fqAXo!)%{cs}vi7#RIdKV7N_Eo7T}Orp&1gra~MIa>{(L(Id}`isNcF;zhcA
zp=_PF9gu1m4SXYNncMu^-BjU;lKz`=vppMWT*|-L$)=w2w~7_Sll4Wm5`8KkzORYS
zd?hPw%@1sHceg6d$3?kvS5OQ-UKmTuXp2DW(_0s+Y^D
zeSNXxt4#6VdJdrr@^8NAN-+zFvSKFCC5h&@&)92)B;T`e99W9cN6B?
znX2;U0l`zKF`F>OmtrMBlol2dw!0+6Ae^;$3ms~(h15;wm#L@nnsgVXE+h{6#>WSh
zKlrbU2iJ{atsgggtIg&+syk1km)!^D<7}Z<^Rb*M=JpyxJPiO&gr<-R{@SB7BLZ^mcH^A=PR&HvM=w5v&NK&(eolmVJ>&$zx;>G+NsfVn9w-o;cn
zXMUUS@v@e%&JL)dXW@k!A6AjyK8t;PEBUYQF!e|8b2Wf>H&tp$#LIk7*C0Qgea-(%^RaMUE>a@2Qx%yO$_5#87W~s
zhQ-GHzdaC)ToanESOSV7RGEj%ve;Pw_5#{{6_!hy%CmJ5ZuQ1AJu4UOi-kBvYYU9A@)fkOEgMt#yz0)8Sh<8;nO$+^l59)Qd?>?IuV8
z02aSW>@^-0a4%J*gxy%raMS|3-8Xko05|Y~W#5@e
z3O7r;5kigfltnLztTJ>nsRV#mFtei)GHi<+3A;)u^i+G)bYO<-XRVW@p^McWJm_!!VF>@@!vu;)D0}
z$SK=k=mLOF0sqoTs%MvAB%1QGoO2g1{*4x%LR0sVL5Il%Z@SbUU`FIL9g-~o#ba}u
z>1FabiehKA21|KQ=MKe5C4A0xL0)a(g_4b~mGy467+yaS)LKIl8`1)xie>x{HG2RqDuUe@PCwps2pVDp1^~xLMcP0I-fxX6=IK8$XPAcG}jP%M`Of
zn!E4g$WEOUL7=G{p~J1hxR#(uxQ<8)rV3?jGI&AhT#E7_s?zoqfu2*ORec;Lg&~8?
z0WgLvmkFkH`B0Ne)4R$s0>&N;Q=>rG2nxZk3n)Yp5(#24D6c43(vE+4p9I=Nf*7%=
zN>LPtLT1@1H@Vw9kvN`?DPIW62p>G?X6)!%;qXObaK>@Cy=3ql*suEf8Y%5^V*4tk
zb+77s|I+rKQlB;N_T@tK3&;6I;ZDs6zNbw{YHe355^9J!eD9uGfcQWR6c
zz#>(3oUgc`4%BJvhCxbEe5^4;m_Riy0LyIv;%!|2;znw#LuHIsonnQz-H!eBgYSK3
zb*}#Kf3+BUPlY8vz(;Y&exdGu6(C#^*mgbFd59siWh>jyP!9Hsl&~c^Ja8Z4?}Ah@
z7N}-c9TRRNUq2`v$JAb68j&EH!%Phfvla|!bD6|AfkqNjQH@VXwbR`dzKBvn7VV^5
z_^m>ia6QeG)3!?`q4zc7uX~11$4niEv#{+To|8x4O{Q*C$$c>WjB%WN6bR?f)bSYI;^A0dPINyJPMde7bvmtT;L9iTuv%9$LbCU+KBR_p#$V^6Mh8h=-uTw)A%mSMl>)s($Xkx!y2CHd*c1l_(FFSTp(WPva~;uJO3ueR`^
z(IySY2bjAr^;X*Sr>H_l1tN9Nw5n`$%^@WJQN1KLsmvw>i72-&m;vJ`SJ`6oDjLk9v-)0^}Wm!mcCh=b)SoLw*~y=dVDYWNiR{uP{#e
zJTLin+;)h@Qo(`MJt{OsnaXkWJ?-FCHJ1KDoY3ny-72ccI3N+nlPO>}6$$RdfQ=%U
z`$9nJ{fpl8CEVAKC@;vbG60N(vauRLb~>NtHvZNT{FRf9)5cX`#gH^_(tTN!{a
zhGmHT-=r*E0-$62`Em|B*Y5Yi3e*P_gK@!0l8SKxLWYeL^TLxWk^qiL6ioC}
z)KYBNYMgm=JsBrTM>_C>p$!-~sKg5-ozA9rZ;0JRIK&c2@yG5K1Jj{4N_eH|k}XPI
zr>R*yi`Zdy=9u}5deu7-H%#aL35=ZoT}`Dw{Mtfs1B1m2j)t^SPHr9hAFckGB3mWX
zK%GGKQ3VrdRFPt;TqixjEm3zJ+|u@SOA-w2mw#)#ii~j%+D^vMDMd-J&oiBgt8Rb5
zLD|2@@1xFoDo#>X3N|)OCLA=;64fr=@D#&AK2*d<@kgZ6ac4IFV`Qne?s(95GHzX<
z3m3?>F>a*n1fJZ!e&Cn_Srdl+-&gh2ryvs955{!tF__pLm}X_qsXZ$ii4=RC={%7F
za7z_WhQ*Vq^TqH`hsI$y;N#}1wwz8Et^xY8sc=<#1Rf&ee9_h=qw%r!j6bF;2Q$v|
zKk++yYW2~eZXMWegQB>~Q0|n4=Ss+RGge+bxv-dSK%KoxeWlCMGZbP)t
z>#ch@7e%jpL@`I&FNsfAzHmwqk#F(#Pi+6~Z5%)y_&rR6YGit>c3M(7J0&u?N4->S
zN}A4db+Ym3yk}fXz{RG$cYEJQPIYL3cIccSu@(U2G!*wNckbIaa!$iGF~d_5UOS74?^i%X^VQ?+8%nUqs7%;B1-wZX>e1R9l(V
ziXF=jdMtc1qpsJMAj{UM0x5btS8CzgJ!Ftui;7R3#RT6}CODpN+Ejh49RK`>3sKsZ
zdiM?JjGPd6+TKdydohdCgVPEl3BB=J93cnG0#;veii0JJ2~x
zfSQCo%5h=9GLobW01t0a*Y_2A7Dq^py463loG(Jqa>>%j`
zA0?aG?+Fp669Q<73jqI3!5q`MG77X9?W0Q#H-$z^36Zga#A43n3=NT&BpPouE+nae
z!nXpc5sij5G6bEEj0FV#47M{jOBl~0wTQ~MwKo+XVG>k0^0(0Rr$^Q%`pPywiqTCc
z(yhf^;PN(SHIUN~JPnS7(%pd_gKTaPfL+1uE9PVgi^E4R3Im(CRUwsrBN0)P2~HS-
z37?DH<@J+k`ph<3Sdm7fN7g=*B92O)(e&zae)jJ-H@LvhZ&T_J6p_Olp_X}1?)$ZF
z)G%h+>uo>*MHNiVEQ>z2IXAI=89|0mhv)AdAUG5nPw(zdn1&#F?dv#7%3dHddXP&#
zWR(J821YgDELYGF(OWLitipiDnD8PkAvp*GVg)eweT6$c$kTrZ@Fe#w<2J1Y_xx|=
zv*EQ}f&a)`Wla{|V^Vmr&PX&AFvrRQ$1EXc3u)r=g%dClrdhE0bC`Ca!B!Ph)Tx1#
zf4A4IV415syn}<%olQ3$Yx$r0>niRCijt;lZO($}d)KNexVHS+s(k?0UlnCAg!O`{
zh*HCBTX|!N;
zwOWgRc>83a=d+0QbrZAy5Cq`f=Or1J&DPN}netOtDlgf2nlE#-hO)SCTOq)Gmd$!m
z`{#MIswv?WVGYhSrO45vW=~Ose@=LOdnbP3U((U@-Zi}{W3|_#)EbP=eTzbuehy9*
zb#MF@Jp*j?xR1V$`>XcMd2QmA@fq#b$F~6Ui-oU;E?$hxI&*`~4a|IEeb(R|7IN0&
z%wvhRpievU5{ZAdJ})DCP6gT&wgSZvx(4{GdQH@E&Xet8cu=YQ<2d7f~zI0WFzxJHBUZplbr
zNtTQo0Rk{@B3!YJC(}ipFZPmDgq52LdLX=ATM&#nGbL`&&B)w<2#KS00)TYut%(ho
z7ExORtW^#;3aUI!bt&AXmA#L1<%(zZ^B2p@0Ox=P2ZNfDYP28RHFj$8pAvrbWASK)jY$&(7WO3wapLGb(qP*^e5^%pB5s=<-B_)
zz8n1;YjPn-j-HhGKanSm)7#powo)u?G0PMAK_mIbkS^nF6yYNP!%S`Eq}$po<+B}@
zyv55;B@a?)HfUlhUNjqaMPXqPDo$!>lDh&1A4ZOlA?uI3=L8*ksn}vnpVIzwSRBEKe!XFq#1}V&iO5p>I9LNgPY%_Tq{X&&k
z5s!~TOvwf>p=jNNL__cGiJx_wuDNSlP;NC;R{i#^mlV3;jt-Z@Z)dd*YSoD3d#{H&
zpf~84`HiN}zwlx}w;rIq&?Gb6jI*(V`(_xO50Hrv@pFJk`AmTgxxQNaBdulibS$2<
zm%0CF{!&=qJs}$Jc};Oi-~RfK!$!X!TZV1S%O9r$;smps8A+SU9+pBtTPP}?ll8d`
z0k{qbu+xC^OXYdnIe;Du`&vlBfL^iw&LCRTzyX&%_88iK6uBRHE_x#<{KazBWc}9_
zM*uc@cKq_O17||cx^D__$FM*+jw;ec4vkz)u`z_&jqk}Sv^)MknF3lvtsWW%ltGIMZA>qxo2|l9wI(|0Xun-Qv%D6)vUvXlX=5ooiXw`TnvY*-iTHV==MI
zN$zU>p~x34S$FQb!p-K}#iC#X5pR-0^m8IlEU-$&4&hX@7U&gsyB+WV{g@}(CP7As
zrvU)M2L25qqnP20pvH|PiM~bG*HS=Mp~ORDgAYP6<`?AO1hIIgNBMulUy;J&zmV`}
z3uCfIO^ZGl7=xx;O=6YL@R4pl*d5@^1_Vg8L4T6>E-0*t!(p7!&2?0Mj2_3!rCHc=
zJ5;P@!y3QtX3z9lquZB{JdmKaUbP=Gbo<%gRT@%KU~Kte@>Q(udV$T2|Ap8XA}-z*
z@32%k@zDHSV3v$kaqNXnI{btt2Zv_bXLr3SNR8H~v^#Ms9}8XyN5dXO?9J0s3`JGR
zWbK|s5TKXC8j4ef9Cu@X~TMT*G7pae?B~X^S@_n0soV_
z#XEDQb5x;xTr6U0v}%@IjRdbERlWodSD6!$EnJ+ahEx&*2N%a@LNM^W|6-SRx(oMl1ye=O9dzH~IbfQHY74aoz
z9gJ_G3?r$r@3c0kZ)tUtJ^;BA&b+;z{XC`727MV>g2)tFB+OV6O7|g_&iq%ouD*mb@
zH;{6sq&&SvZU#*tN_|^@y^$)_=qc}W(+R+FvDvx+
zT@C<ci_g(2QpC2x66^;(BfTSD_d
z^o=-@dbd_hUdJIi^W2$G`6iH*Z?48Clxz|n8|)=c070}EG7jpRB8|ELSp@nHsdx3%
z&XsHx#0DT*EH*(Fw}3%FymxgJiCqc(he!KEW){NWC1mNd6wKu`VXyQpwI~2I(FdK6V>mxa1r!8ZRP>Q)`7HdU4K5@FaJ%9!KUNl6C|6EN;@{EXdW+z|#S?@=u~kXOPQEOSfk?-pcA^F$7ZF1o
zLSO=Wa^+TP=8%#&2B;jeOEwld{Y~kYgK%K;K_V|8?qS~{&ak$?@Q;XCdM=L1z(uL~
ztZ@a6WKqr{)QJnDJwloCB&$I0>-cgppr1B28q+uIWXn{vA#PF=
z(WaZ~T_pUWTkg|1WCB@ap7`8q@p1@rtyrrqlq
zO(Y$PvErlpp^m`~vW*NG83sIXLT@8$-$c1^0*+UVX*ohfgc)myvS2TL+@U^YWb3K*
zyn5w}qDtW^ZW}6_K5oBLHUr6r=L=*q8EAl?@%Jqw*q*wBQYoZ0&Igv_^7vzF-$!|N
zsAT~7A_<^FF%c^c^adFkU+y?xasWW~5_qJ@Po3lip|*pT_DiDdC2WN68Mo$FoNc&9$QlqJ1@?Qj37?Msc8Ho47c&pPqy3
zr0+YWVq3!#E3)5@T;4X1_BRM~-AOy50F{K9ieOd0rwoyLuj}Zj6>!#3cA*t^e5p(|
z3lTwggg9V6Y_`rbU*^r6nL4Bp6@BL+I@nP2Ly{gx|DqT(G`K-C^0G|Tq+}I95Gw0uV^QdZqA
z`lzbZiAz_44A{b3v|rnfT6WF9kzmqx0g7y@Is+q3}#R9FL2MP?@gkG-BRXYqD^fA)9GbCsDpLP1y4U@E?^e`fzu3)(ua
zIw6bSx`Xe9AOv)AxWM{TyvXr{T}iY>0#7pTy7VbLmu4`QloKP>*!_wpE=pko<9*1m
z6YDsss>H&fF_*4{A~`
zo!q;N&R#m25~81WLnA)<3kXEpeO7cA4H-y(dR$Dr1(34)b}D`XNBw9+{$&F-1N0l8
z_`r$gpz_OUo_b4CaFEL4v`aLBN?sNzd+&Oopl8z;>6s!LV~
zi!;xK@z1#p5G%WIND8Jrt&JmL+!-T7&5DLd;paBt{Ue7
z5+aiJOZ&S39S(Y_dcRQZ6645z0^^34wl!nuV}RcxTyBW
z<%oKqDC(EW&EGYLv6>s(YR^1ul5RjdaZUnU%o_j!zvF0-EeteB+a1#o2P-1@s7#OX
zooBxoUS`@00ax^{;f^O%|D~m#R?Cu&t;CdG4$((EK{?6s==^Y`FKfunVJ4JO`UO5We$70gpZz
zvgQ}V8#y~>DVlXKS7;*kOjye!Dy)siSeb)c%*g36WTHT_o%DbiN}Rn!&_a~zNM05JE>h#tm+$0ac>vsFB@Uqo|I
zBJVOKQ&vMKck{@B_3e7%NO5co9nKsKvJx62s*AR#&b=Loqz-xC>BJ_x%m6
z89@ctCx=z8qkdypoETX`^V|O0Uh`bBO#Q2W6(rt~MW)Fot*fQ>mel`z>}9@y({3ZK
zEXT~#5!wZz3v`c*xOYx1s
zZio8k4xBY;6f%5s>#A&&q4ck-j?^YdzD{7J4u|#2qXxT0L#5g`?Fw{2w0sbGM1mqA
z6pH5kyo(Au5mvMMoVS2p7Jg0U2Ru4E9T@8Y4MQ@;hs6jHpED)~AO~;8kE}aZErNs?
zefFWL@m%Ee6O)wZYK>2GzRsThk#!b7Pk1o$CbU@P-H-mAyT2#yJEZ9^3->YYqd?dM
z29|_JNA?pV5>NbHl+s(m!9fyg&5XAv&*$zhU*d@;)wI0kAn{YK$|I*Fr>UGD37whM&e7L6+a_gu1t18Pk
z1y+^p_BPx!SF2bCNNSjgJvw|s6WN9nQzl7~7-&6^qS6l6w&pWap*%|gVH~=p5Y~Z<
zL~>oq~iQ-64uGV8AHpQb0)))A4W{9w9J?&6ahRG7+@
zaYfY!K$~>bUU4yZRIFHiO7)BEFcJggXpedEfgp`xtznahlD=1-jJQ;8&cl}YpGZ+K
z(Rwwd=@Eeb
zS&!eTvp7!zy{DaE;0IjCGqIv{n35DP(`+GmB_^H%PeBShzO9Kbfkyi`pY$%4n
zzyC4o_8t|vG;+L9KJzW!osD`D!XtlI5m;EuN)(ltCXRv)0Lc#eR9Z7S=Hni4`m;*%!RUS;`Ixs5|PhwcgwcU!VfP
z%#h?l;{&x_CZG$L$J+$@C>bML@Zd?FB+o>o2${4pFH~%9LzbxCl0*pbt13+hxa-!Y
z-1I40%OTS?&^+UfWC8=id0JNSL
zW6{ios3}i%7uWwh~z_h+GsPp5z#P;83bf;fXYF$1)~4hESd5+obxmIAzz~1M34!OTBudg2@8x_i&M7dFh8B!6ob~gVRdL@3nN%{L4sy
z43IK-yl6}6lOYbpP5yEXTnk5FC%c=|yDvTa+Zi6VF`(zb)V=SL&`6KBd*Yt=k8$2ePo6ouV9`^}nau8aWl48f?Sb;~PAOFtUlrwE
zImsJ`OyCOkg3BKfIP6RBYTARD1dgp)QRkwFSdtR+HXoqROQ*IL$l~_cfk!>*u6RXN
zF&9mpakZ2H=bRE%6E#QRDotA~knp=F!iFHYi^=3DPXx&H)%4($Q!ZF4NU6^;PFC#Y
zV9$Kr@dL@?nj&-vhp)_jIUne*V^X+^TAoA0Vjsyotij?b}2F
zzcRwfef1+>mZG)Fyc-c2*tH$GGVL)-l`fu#Duh24f!_<=G(CH-s$zFTxU_EciL8bF
zc9>N7EfXzzHb~a>>Bn+1SrWkrdZFGC^f`;G_oT8p7ue$J(Cm;nv!t7~z)IYIoIuu_-4@Gqp6hQF
z9U~ad1}G?{FF*>p@+Vs;iRu04SVaFlWGeTiS}Bg>W&X2a7?6}WXjlDpwk8)BL68&eP=Nht9>
z%yoE&!xchQ*?%f)Ww2cp)kUs20WwNM-g8tSN$eYFdinl@tNISz9uw5yqx$cB>M=|v
z6Gc4v+Gc|13Ctp+$n|`UNv!|(kjY!(-rNBIQQ;Orl}-J!3Xmy)dV!9gR2d~%ox8DB
zU#CmL!ID5f{l{C7UaRndAC!wF@vg#Y=KR9#I(`%xWu+#3+*%I4e%li0WuK-)A@+R5
zssLwN4>4Rx{j9s_p{qL{%1rcJNU+g6p-7+K%IU7JJb}M3A#<{xIdN7&+r2khbaZdr
z_so1S@;2X#a+j|6>7Yo*S-%#O^kcKr31xZ0uOM;Tw$p}tger*G=H#J?ch091uR+AZ
z`BWF+wM4|in6O_P?;u*dZQ}YT+%0CMn>*m^yYvbdm4t}KLh?C&J==klksBR5SI{=Z
z6Tc+HyRfV51f@|4j)(E&l_dQV#CH*n>SEYeE)}g#`pGB;on?4wo6kdTL?Y2Q^jJX3
zi7C+O5|7eV*YgM;JHp%(TsY6*rxA5SgMoymQyfkyrvvon!Mc@n?nt=w`PDmC=9i@G
z(AA`yngS-3scIcYf(c3;Tqrr)BtDvJ0@w(BO<}i(h?I8XB^oYoPJ}lS+6Rdb=SD;T
z^e|4wIZvEvE?KqaR_PH)Sq$#erXm=jd_4ymF-+C9nUDO85H(nI79G(;C}}uMWQeKR
zP9n(NMwz$#Gez5j5**xv@%m@Q8Ff3ig(Cc99b?*@7zZmIOn4CQlvFmkI8)$EeAN-v
zqxA0)Lg(fCaU}CyB>$UtuyGby*gW0y}qLH(a(IV6Q(a
zhVb5^d60uZEvb}-!!8cXbznRY3D905EG`H3y3qu&P4_+lF+NNejubsJvaZ5G9KsQ1
zv|K{`Ia3mz0SbLXfz!oSJm2=fSod4H%lwUVnuuGBhcGZAs
zyYz_WoHSeHG@I96-G&f)jsUy7Wxo!9q#rP(FaMvdtr4
zD`hm#`m{Ztsp>-O0^bXi9nt9#b30=xnm)}4;yB!ySS)H24z_+(%FKCA`GY)>HbzNP
zBT}R?yJU^lV&LS^H`qw_)&m3
zg18P3#0fjEMv=C92HOZc*z6`eRP&_6Mfq`M&Lhhsfp46M`$z^UNyc@_>9HVay^b4(W{uny0ItzSquph1RC$nOMZ4&uwp63r_ZSc78U>ucGd~
zr%DOk0r#%(8{G(D1bALw>El9maFspf(??w|mbG<4y>e&fLYRT-*X=CUQFJmj0elfz
z+y%V=nob@KH976jJW;k&W~iK^zxz{Aq82t(dB^QxYqf?Lt{(cE0g$o|)V@w-=t3h|
zN93KS?J8+8Ve=6tyU~IRNpTz_qBaBGb?*J~M#5LRMcRR9LH&V6H{?b%!~gORIPs5u
zZ0B$96UBCzoP*EBtg1!O_w5;@erbQoQ;@3U(u>OS^y(`PcioX-G`&Jk6!p9w4(oz2
zb=5#_ZJlF3ntuewrzU_b)CL9HwY!LnuHj&Z`A)^rCxE9OBmm;kb}vGGU|F?!*||Ar
zy&owsI<9HF_!=Q-ZY$sJtuR7Yj8;}^7F!5sJS@=TQfjnVp^L^aElnu!@4^z$P>?QN
zE?U_YC7AJ&;s60oeJe=TVbMs&Vxp_XMr`~Z9|yGLS}g5W5n_9rs!f>(!>)sEWFft;
z;4#*E=CTm!ym1%!I1$n>&NVC0=q0Q>G0~iX@otWF$rVkQ*574{(NMNO5~*1*3$vzA
zs}k#~MBdzC6j}!JZ}I2>a<>=&O8C?*nR|`zv|FrIwrn4$Ty`CrXByvn9Dw21=0Uh@
zNZ#IRyuEwz^T2bvTYTJ1(4Ya2PvZ^&Ds;?9Ix$l&Y0r80;TJngNiI
zABuY4Ow``NK+WS;G{D_Ddb5}CZX*4k1lMLFH**Adriuy{eznkb;np6Iwfl=9SdfQ1qoupxN7kV%%L6xws1Ss7wEf#eMd(=psHI?=oDgXD%9d0dPBIebSVkY%uB-_(#_%3)44^ETzJid2sn;6w0O{VTbPaY)&|UdI?Lw=?rKqWBlBXvwgtHV5Kk
z>V#_bhbR`dv8y*E$_}SP!-K!DSC1aHjEY`+XR28$uUb7WP!5tru#ZNG9>Y3_(AGBbYvDo#7?>I@LoXWQl%qFF8XqYT?WLeC
zz!C2lk)LsHT)oK|QUY(7t$fbnkw
z){1x#cefZWuya;auK$u%^|TqfKtgD^e^Gw(&4pdkznQD4{0{T+E4B#6(r__^7u4i&
z3*Q1mJevM85^ieBmgrEU-+`9FCDh(Q6cMudb8ZI@6!|!24m};=uRG#N=yy}xo_z)P
zVEqY6z2ZP^LuCBD3k3E*y$netnB^*;UMOd;kfW-Aw{jVHvmazLjMp_UGTOF@i0!7iUs
ztracsuXAdp^CA@hj=&hsL>Q-nPkr0;SSsCpo?z!(PqqwRHIS4o_}w^&-|)`4&{q92j{$jJ
zz^?#2N55yhvQ8{^qrrfOom9QA+-zxyX>@FdQow0J;;EWQ}sH
zaWa1EKyOue!MNTM!>ZRPK7*cBR1Urn@QeYM2vAYkUez1
zhceF<@%y^>=Jl_zvR;cP|7GRI;O-4aTsZ(?7)oRV_60WCJD*f=GbIJo80G{zc))Is
zSU{OHsHomH_)fN-fM|ypUe7?COv|e3u7Fqd>*ojk?EV!6c{d)DMnr(ZI&d?nw{`a@*Q=(Ua(tP
zMg&@xmJ{m7~_;@rtX5e=#?4KBiUF|?~7z~HStQ0
zx1GC^eD@QMS!*3`kd0Zh%R?%&nI6%w?(>M}DaD;`lVzU|^AZiSC^hEV`Vr4KUHy-D
zxm-j0d|SQ%$Vc+#Wu;*p+MRQ|ii6NRBUYy~F)6pF?2Fva@6<#p3kQkQ=4nWbu&6IZDu2SQ^I@BxQNTD*Q>CO
zZp&Luj4ER~GxEe7Qy}
z_CawN@PFerxz(_b(EypWd2Yx5WaT+e{8X633JCrj3yoGb0Tx4_9G|6#5}U
z?%&axpDH=vH`Vf8{t#?l0sRR;EAtIBtjeLx957kUqfMbu<&Cx(%!9EUap(AHASbom
z|NM>wn32X*^&B0Bcr18A#R+x>N||0PLU7y;#{_)hJ!_Iu#AJkma?P|ut>N7nGR^rv
z7rbYaEp1ZB>RmIDZIO`>-%K_e1yT%*SV#un*0_gW+-rR}RyNy=)>4c7Rn+7q
z{BfGcjnOn%E(F-eFbv%APP;#8Act{b(#E_G1@_^<^##V{{Tc3ngNsIiyvf3FEWM-i
zW&g$cp~C(ut!kHYi~ah$#qak^VI$C1Rd3@gO=8aL-MtWK->`AalK0GE$pqhyQrS(f
ztj?V2p(jaGB)B)DC3>2XZwY>IGY{FmX6BJet?IIq+EHT2^;O_p)KA>VkaH3vaJL?n
zv8319U!lO#?!MxK8b#ghRD!9?M*?(YyIQC~WuW(W<--11-x7Xl1MRMc;!FOQdGEdC
zHH8A$Xg__MGzJ}rgQ8?`6@-6{$WR>vPAm|Y`s_uJI}*zxN#U5Hq{LaxOyD;gtVEa~
zKtS)h0Qm=l$g@so7wL8Wf+w>^^{>flpW^azy6syfE*2VJiexV_7gMLa+D~)i%H8Y@
zHR74JwovQfp|FXy1LQF%KaR7!8Xs`l8ffHZF{uqGAExeL?Z6x0E0MzLyiKU
z&Y`K=JU@4^MADD(1nCHJ5*egK|5WOw*uA^UgxZ(GFMfp8ylCM}33;}WP7W4V2v10x
z)4k_FV@!GE)wJ*FgyN{7g8eojUL0sO>lCKlT+v3T^Yt=1DWrplHRrCp97ys%&@f>c
zL=;5l(xC_n_EJ~SUc3Z5z}`hf@w2@l{B=OFqfY{jPv~8F(JKW7rL(^JQB4}kG@zaF
zQH>FFwwQ8FhWLjoOqT6Npwi;eK#@V(5fEco<4$tsHXU#JC>vijOa|DZCsrE%J?oNa
zKu0s^0ZETr<{_kg5hkN>e*+2EoaJH57#GX3dW9l5fjQ47LTHNJht@keToctucW(Im
z7e>^;uWBewK4rYrnDCag`2nwP5X#VJY*b|%ww8^;o{qe~i54M4)8iSFA*rTV#h;wX
z*ylMZXkAt}s)37HoaG2I5slpi+9GECK7699h>QK|NC4X?&$&LNB$se$XYnR}%#|XF
zNJHb6?y)%Ec^~W5JT^5NfAe{=R0k=(dxqC-G(UYRl%Z%XDgNHeWGNz+>BTW^5W6jt
z1wP<{lk+I6wdYkWKolM?jIX9SqLaXHSK(g}IPWHnjM-gnyFrQQ=ihb@AB#~=zXir5pzqJB=mhg7W@YzY;)^Fk0AT`W^1aw%6NHbo%Hq+0iC
z&yHkvo*;mEJ0v-{l=XcNcK7wK>KbRRbtJvv1NOuI=cTJovmer%FXcK)xxpB@A!0|K
zOhv&|1Fqp2+7DSHM|=lsAy)^_LPu-AY4YAW{!9&1P!!wN*uFU&#=4mcrLzg|UJ23{
z@w&s}suy6Abk_`O)|)WpHKgWU_TST?!uku0vzUk9`-<+~H3`yetQt%KVe{bFM52zI
zC#{rbKb#}4f}kT!7KlnujF%~Z;?piATwpH96+9d%MYe_n(pu!pvPQ!Y99YA?wA3Z2
zdP$k}E12OEtz252@>3r3v_yrHzUK`XVO<#0Ar8%?a0gkQBJ$)P&uD1g6L>SU>2;TS
zFjT6I{pw$y@-5*#GDhAL1X&s>mu-UK2B-dxq6H|Nr59YchwD)Nd$JO2v(V_#!AvR<
z#Ga0pi_%E;WGF0ok{+r1P_`0#hR;!=xF?|bu@YN3k5Zf;F@57$@$X4#Q#8CsDW}CJ
zmuN|}fe3QCXAAh}xuyBNx_{a6)`z$a_%l8m=~Nq*e@ce$dAfAHX>*^J>@JWu9<$3Y
z57Av74_1{Z*uw9yk9(b9w;7%=9y5oXWclunzQK^`8xf8IFzV^kWX!W%Od{f1xyI7{
zXEquc{-yukNnGA&3m2H=4^YXQyueplma19CUzV$3pOs=yCX2zQ7}Zk3M7PJp
zD6ENLd!+Pq*(f2{Xl0=sEHg)V&zl+5KOEs2>;oZBBVV-9Q)7rXEorr-aD^cCgDl!=yBN
z(X_?~!TPUHj`R7J?4rVr2}aq{n}_Ik%TPmYkUB9b-PuZd&PGt&F!3)mUS;~?k}a*C
zE&9z8(SV25K#~Unl)91Q%3#%ICD}f_9-U}C!>L5-F!?DlZKJ>GEnub3Y>+*ft6;uZ
z>}G2tGGZkK22|5z?Um+^dVzU)+<9P+ACbuyn*DNkgz&-+={6j_$q#;*Pb8sbY%EVqoBgJza=9Y(v1-g=1P%feZw*`Q^s4OVr3^F%28
z0^t!Uhqi%PF8|fKhWC1V3$z__ae%Y(jiz+W3i+_$72krqQ;kaj=GmNi+Qq*Yks^1}
zV@f98T%5WIv-o!rF}Gf*W;&9L8vTK$uCX({VJ?4FSK_rY;p;F{zVTaCEnj9mNA-2R
ztRq-C<;qdE6!fJ!!>hNCdzKyE=#{VJkz8}D7m#gG`+>I2AMWo3(;itM*ThX<&ymX~
zQI_tPKD}q&8o0DyhG@t%fAt2x`{`9K6}r*i;=t#Hy|uFWcIMJ&z0FPkiqe?U0ndYY
z?A;ec_P5`nLFdR3)+;dNosvwrx5!T{mp573ZHHCLSkz5qP2vttI+i3;x@ST(k40i%N*HD{?gIFtX=3!
zSA{FJHxWC|h(815eBAupKTqaDwELaHlr;6DAGuzR%pB@hLWS;_jIXK~y(?~k&O&@!
zHl{CO)8r+{77A%;_GvOdj3SImGu-z=Z+ViBGm*F0ZvM=Q+1rtGytDE&EkPY78<&W6
zgkF}i=ZE==nm|)i{H1xkHwoV9mPn*|Vf?0l;oZHLBfdk6+o^>8o1!k+S4yt2JcDie
zvv+?uUg&Ie1^VmUN<3*{U(}PdG=x
zR)~2a^^}Zv+<0o?QXRS*TqoiC2B97DQSS%hV8^}fPHWn~8cweFO)oE|Px=_@yW}+p
zl>VoYl9E(Qx2?YJlm%qH`Ji(pbe^HJp;sPdn2
zSai)mx4>*+8Z4IcWy?yT#9?k@*1z|M&sj`|TY~NSE@WFkQ}li89GkTCS(Y5#W^Y;v
zv@civ44!6Zfn7?=OZWVRf?fA9nCAT==mt_Ce4Y#~?Z35Nz~VNn_bKh!=Ww@N`>Ew`
z$t#2ZJxe~FX5up{hXD4}^uvZ*A#ZcY6%Rs+)`GL*oDb-F6=fF&-FLqkA-cb`$qs`i
zL*MmkwUp$f?Zzo2m6)$y;r(5N4&gG~oA%G=`TWz7<)b6ZQp=~zBeM^A;kb`}cg@b_
z6pFnF&j+o+n?Gj!^v6L~2>-;eh0vp^$4$Im4uPQ(%p}^~D<4S12e3y=R0*%*aYsgB
z*l)g%V~!E;ZDDkZA#<;eOX{tT#d&3jhshXAaZS*vouK=@HlbgxTT+oCl15>pOI#mh
zheP^%>kx#p<6aT6h&9WjJDgADVPJZq{`xne*Co5YG0YPdKnwCUP~&P=Xttv
zWvgixN4Xdt%dvibMGgN%)AK?~T+lhx{NJGcYxNT?*2qI2Co%4I4K_b=Z{&(|qIlaL
z^TQL_^8t?uL?fF?0_@i&#DPJw}AOCm0
z5%!0T>yZOK{vNA>na`!g9ck1qU3=RSKk@5E@#f8*U-1`^zrTmD&N%v*yHu#>dK+JL
zX?TPe%yo(F8nJ}#xW;%;4^7n$hc5N2Yfq4Zw*351e3ue496v`n98R&@VQpD<(toBG
z7d{z1(bXQD+8i3B-mtfR%e?i9ocn7;cLJ6kb`4j3YC-Ku<}g^aW_0!-Dey4JUSO2
zQvQwua|^LYnD`mb-OvjsGDS;4t(y4j+45>U=fjt7T2>%QqUfPx-Ddmvg4)Fl*1fr`|&4
ztzBEW6k;h%p`~*E+N0v%TwS63rBoGN843d~g$0}-GA1*SM!Xk{*E!mwKmEl6T_OrEDab|EyhcZb=icRH7SXG-h
zM2gQ8DR_*6t!v5V!ukyB{e2M<7KJ8YwoI6c)Jz(~{kZ1H`Se0@le02&S4i!AqhuPx
z=c%Z=mDWo`i8uRD&7)=7hCj{I&cmvy_B2w4r!OnnR3z@thBW>1MBIy~f>`8u-rs3Y
zT+-iN@0!`lvbv=J=8M=_PPib#f7VdTu$-4ouO1r29tj2M3)GL&$
zHMX3;nd{P3J)Yl?ws$Q@Si`wGl{K+?xw=sPzv;Zl$D4dDowD!$%(rGO7;T!*bv*Ml
zca~Uwh;`Jj4epDJXj*)nGQLY|=wiK!2)Q@UY#C19^M}`Z2F^uzp6(38
zlEb~x?SmW(1))x5v_C@%8O%jeU($D7hsf<0U9
z5nW%lWL*M9l82^1!*IDdt-8(IHJRRvsh3$Cw|)pIz*kT$tWDJ$+X9bA3Xca%_LJ6WX2A#gnT~mALI@c3R%Fu5?t~AY?w6UpqkP2^Zy8e3s=%
zL9%YlWWgB2EN2ENW}l9
zeigrImH681OcG^U`YGzS7uOR{Z;_gaUF7jav;TH+Pv?)Oi9qJ--?(=}NdeS06Yer|
z3UqCt(({FQf73ic!9XdYp#}RutHMRy-vEdXzhFpyfjgrs`Hm*s;_5GjapH3R6;f=S
z{us_a`NfMg%$7&tpv;_fWzu=3k|G68EWc1-krQhoMyC?4_kN(r%_u=_)OJ>%26&pq
z7&cd0GOcVk@yK(*N0pSu>5ymq)m-%2>|d53hPuv*9LW#`F$PjShalA9$fhqLjZFj!
zFou}xv-MYgp{%vKikyelf4>WeMV9dg`sKW(0rBNR*?moqR6oL;&Y{`?Vk5rLh!0t
zRqt1r7id^sR<)`m`FoZi`)g4T9)7R9ymJ2NhdDRkB#U#-Ve%_y-FE?Sdma#HBnAR7
zjlk^NcJ4n?g^_CU=(`GJ)5{DDIVW~=i2~aZ8wmq_p(Bm>Uq#)7Id4EK}n}7=S_+0y5sU2Yr(f8(pOA&lI$M`ikBu|J8g6Qj6D)Y}e4K$BSkrW~^uQt>u
z*F{uWJoM%zj{Lf^%*~jRYawKJo4g_f&Cd)`lccGW(>x2F#BNAJF)ni$nXT4Vcc<^Z
zRr!9kRzrJo5o3*8!cW)bZhUD&*GeEg>f&;5^f`?zAYysB{-ibn
z5F4gJ0C4wkZSPtVG>lsI=8TU6C
z_qr4r7#3{`zrJHLk=9#^S{PBdn)V!$zj856>{A*w{@oT8P8g^3rP=vyJU4uEI&c}B
znIQ33Fo(s_9j{9;pb2Na8JA>kTk%OUEcpF+*;l3;u(W&6&bS}r_9VX{A}^*(@m4c&
z0!Ni}cRSq#Xa;ySxneiV@5wfXq}<`CC49#we)N^)9&b$BRNb1N5thMMG5!Dp{7Wnl}8>(!pO!b!q$abpz#m
zNW6UGnkTk5C^>e0@Hf8?)EsqR#5Tq3t{61gkZjI~+s_>9R}y$@LZ|m!;_AihSavZp
zA(rqwq^9~1Ov^)nNhCGN`ZAxA$8`g9ttc5smy*lZ{#?Z=v_~dAQ`neH)~@%0-sGqB
zq;od6e1Cm8$y%i1Cm6#K`N_5z|KZ$C+#~Iyx(z`oT1;mqoA5yesbZCz<|Fh&k;Ou&jgU=^>G&e~Ymde`6krpZ8>zp~Q3{O^@K_
z`$!xV%ldJBHj7Z_1+0ADdh~`uC+fu(NB|t4*|#r#`-~};!vF3nV=tmWQt<3`Fd7AB
zj{l6|vjT8%0!)Si4X)s-26GpgPzmMyM}qj)XyGOD_HB5T#r!3~4iQ|h*J^>|CUN3{
z_`36Q;mMCGgEOxeTd(rU@imm~IDZx%K3L&7VB-wF(p%7y-D*f^Zo4WWrTS30uGaK
zQ9L0!i|u9ZJ*QI${V1vQYzMnstXPDXaNJ@CZwrd2Swcx%0Upl#RjTQRYJWt6K38A5
zCb}-?RK1)o?)Yky??1!cm%No}kncks6NwR3F^
zKEkoTO$}d}7;}+~65ZbJ?p_VK|EiWS=EbtrB}VsTSF{3e&gE+)GvSMLz;D%BjGCyu
z61z`BQ;DCzv}Ief__lDo-Rkp^sUwz|EO4~gU2x=o^WJp3U_vtR{camc$a?G3(e9R}
z;GdN@wkf{arkq?}2v<;n>wlRCM1gp{2Xi4%qeU0hE1s8R_AY&?(QeuOA`SN3oc3S#
zwd9h3{@A4tSrDv%8GID?8T4WMh-bDaL~R;fyp_|<(30gzg;)YKT6bdme0ihZ64Sj>NtHRLbH+CwcA(yUg~`8u{U|w4duvnfVtn
zF&QISb&6ZyECS>4+uSeK@u6Dlc<`OfC~fb1Oj(gZr*pkmVVbApT#J@y(lu<
z%rpWg2w8l|xpgaB4?0O|+@KTcoon
zvjik9h5-R?OIybDvhVy
zIM*=EsQ?fyH>Pmd@NEJVOabM{0VT~-LI7wBVCt1)s-$5A&NHSXGYT{m5b!)PcoKx^
zPnn$3#!o8{L2>{i8i&&a0UKDEjRX{7lmR~c{7duD_&9~F1>`xrusI@lGIG9~VmYA!
zPOz(y@{CM!^QIx|AObg&oUa0y;u^vc-m;n!q9qU_<7prhEstsgpj&e5ji1|WL!9=5
zHF}B6P+DLYM3y0)53aOm(CSaD7J%8T!)X1!tLDr2^kn_qw?ndETdaH0$ccuGH*
zqWxv8nz*Yys-H=#jt1?4Fj}5TyF%ct>k5r5tq%Lm3emaLXBA%#7+OFWh1I&z3&60x
zXVPcOP_0aPMqT3bFRkrATOImGlsXTJ)G1S3iZ4w=WeyF5RTcLv6_%87!nL74aI%-<
z_HSc?!I@^*T@XMder#=}uzWs_4bj?4`aFo+D@sD)zy9k8`}>XlhY%RXf!8m>e6;=g
zkwuX5k0QlG+QK3!|{5@dW=vG=e679Uw)Z($=jFONJ
z@oZcPI6MXuFkt96?$uygo?#H0h?MO(<08RP6hTGOnSwGP^$jccO`NfVUuT=)A-G=w
z&rpV8a0X~U1$`e5lKviqCHfD5h)IC0WwPItRb5
z+g3B{?;@0RIX=eFMyp;9BVE4Gt#8?FYTxZE-0fI=?5&~dr$MsJ{^=Lw<^PcKRQa1n
zakm@08W0_0|0_7?X)N25Fel2Z)BJgD!7I+!1ptJslzT_Ee!PwYWB+@
zTE(O0N63fR3r@eHtvs3&pizt(u~D577rU{0p>q`RB@YnY{zkY-?#pFMYO~2Qj@UAoO
zqDE168x6nKHOamdV^UhuZz??Kw^0&6x~FA8h`B4=75_=)-qLBrOy9ct_opw_GRJ-;
zy!(0YcI2H8*IMc#b)gisTH^8N=L%xE!2>&lNQR
z0P*Oy!H@W!BYqN1f5Ok(>c5h1hpA9cYp(vjNB#Nm0@35b$)gJwJ*a>j!J`tWTH;;F$Ss6r
zI3wij5^@3aP`9a$2Q$U!%hP2hkL%{{X+~+QR(e(@-q%iI5H#(qU#KDE%eYU&rOv-V
z{O?dpt#P@*xm@|pbXU{rBhRt)WEUKAUJ$5|1Hy;BUN-7YOqZMWw7z*7SK2x^)AQ)<
z5RsNq$h^00dyLF3dug_}{oOu}
z()DSz?ea{8#nbN3uY03DZO%RYwbwD2#3;D2r@y{#jb%`Utp@vlf8Sqf@^~@$KSk%^Pv!sq@%!vyox{PgkG(neNIJ(n_TKB5
zA=OdTsid=T%xuT1V}weDBuP5QN>U+}Hj-$4DfQ9x^ZOU>`+mId>wUeh>-oI(`@i+K
z_s;s<9{T%x>)XdS|C2R5^7
z&oTeJ`-b7?y-KoEb?LlZT}eu&>3iL?)+cSwlj};hioW+{#z|J=9YryEuYWA2jcH#oHKa@6xD
zfd-z_lD%JUtgB^ybok%+zW>o-;*||CzhweBhn8N~*QalTX)kX(Z@vhTgqny32xG_w
zl`JuI(Tj9&Y(x4`yW3PCQ~9G)_n3$7{KfHKdIoZ1>J<%@cUf)*-%{N8qNHKHD^or9
zj6>4SPg?rq2H&$g@%?|OIO(R0{V>N)^E*7l(2UTlK$qi$hiWL=x+NP%NTyviEPdYaSYH8!0)>>m%B-kHlFdGC0~P_!y`R7D6TPlv{UG)_^wm<4
zv6I!Svt%QTJ>;41!W*}gTbpV1W)0u`BHoX}utbSF!nKa}2h4px%n#*~3Xy><393}T
z@gW}K`mw!{b7$!OrwNxT#`{%p18GQ=J%L~J(;L_hrkGfZZ@1rWdW9FaI%2+?U{5O^
zzGMonW6_w!^JNDzCS4uOvNB=!N4y-Q2H;V_ghrD{ZXZB=@LZS
zY32|>Vs9Jf9J_P=*^A__x4u|=W}gmoRM~n@YFYM(!)Wkb7OdLODbdtP)(Wy|(||dS
zBVvo8B4Xnpvba@Oz2_l*>sK1teH`93C|iFoJIMiv9oz|w#<
z!Wba3R16X@9ABs{02D-bNdv~yagJZf!Hh|qohn<+1&uH{@4kFNj7;n
zYK>r&kf2{`w~btu#gTL5{y?BNp1B@cKwTn1pIR2$eb=-JLI$}-JintM(Bvn$41I1*?8$d8N(fND>&2xN1DqL|b8QMBeQklQm?Ho{{QAjKqD%8+Q4Pg@uZd7G
z2lRkE^yc$RsPRCXn%=ut`sL1la4)Ej6i7Plcj*EjD_#nz?~nxsDG=GA8|-)&8Q_P-
zgc%Zy_MkJ+Kg-FAnC23>XN(F^b^d?8C!#yhttUMK)}1pVvC0xhRRh1vA6EYZRaoU;
zSdpGQ8e1O9Y`pBbr0NuRdlFpY(IVG}UCCVzIX6pB
zl?893f_Op*-WO2AH{~rR<}Z9WYEx8n?IJJ{_k}tWd>uVH4SS}I8Mec0TS`^O*&}@=
z-dd{2I?>$x%w8xKVJ=C_qV=c(xFwAtMr#`6Jvi(;eG`*P`+gUU0{eqXhqb2$2!
z4(_YXf7J&OwTc&x*o=P|u;%R#ZMndzF~E6W3@>OY{?-w(z!4i|pg!L;^S;siA*U5I
zpmfWkW_wrQC$)(^#FAdecVY4G7U#z!@;{uuM9n$hcdXaFpM}7aKFjoy;C5SW*vj?z
zF5HO|J#av}MDL@H%4lpL*I}HhmB#*Al=v*@x|7!a%G2ZjdzG?*PQNm_qVT3D)?>R%
z*wMJaQBD(xx=$Rr{#)&Uc;N|x?i?A*irPrGs)&=j{luasWJPDl>o7$1z^up6O6^CD
z2{&Ibev}Yf17=LX{8(7rBs6=M@Qta!vRomc%h^m`8#p76ButJsP^Z@XocdOb@ck_4
zPoscKV2Mtq(!TRbme<43!CXKYlcF>BPu#
zR1Fd_06R_t%WY0`2u{~FR>p=qTn*V@+uotvj@YHCsRSN**!tzw?&E)SPFK!EGocDJ
zwn75{Xj5VvG@n9&I06{E&PSVutlmFfap2kZyZjEPUop*>zRLD9MMqRdw#7U=r_I)8z^HwKwgqB+?5Gx|$
z010s%2uoyOY)McDYPJoXLrIqFb(N)6#8<=dE&@v@BBHiSqzvJMn1rqmow@v(+oCy8|Vidz*j)TxEYj;MGDIu9
zfrr2r5da}wq%YqFkKHb}gkw#cIx8@&yvX_0V*m|yMH_Q_JM@@VitLXGByl}aRku8%>Eu7wDNK6qsg2z00AT8i
zxc43-*-O<}3q!u;IQl`r=}4dptVborBc&q()Ba32rkYh@ndOwlXmA-RU>$6?0E(Q3
zfyroeV$neXDw77bq(aG0F{b??L3c5`bg@SnV5ZAH!n4B~@#XQ)Bq@2vC~J5}62_ed
z6_JHnx?v(|P*f9yB3+9I)%CTU76U=}I+f)|EG-`MKCW73*)DMPj&<<=>Fr=B|RVr612V=eDOtcA?LkwSFV0>UaU68n=FEGK1I>Tq?u
z4nw#8;a4xZ9a|(3U)*&U^Yo{rz(#BMQTnM``Qqys_nJ(WSwqNEdpBzKgZwjAvDJCx
z`0*y*cN0*rV_iuK^*BX7sI+48`|-&n%;XdM<&*-~b$+C3-Kd+?MMpk3RqCIdyvXs&
zZ#I$YwwMf_j7VtEst)Eg1s5QFR<1zG5n=uO=$Slb6Xv=7UStcnJF^IJ0_Zw>-nz+T
z63-pozdkQ7GRe1nY_D2}xk|xgFSLXTh?hefota7RgIa5=TRXd3v+okEZ83AlGK0{7
z=W)#01w>#{OHER7(n?#vNE761Goq>ZVKv65s~NF~$X;*WW7{_F92>1$o}ov0icH9N
z$A)f`YHBoEb-A!$Oi=K8Yhm}9=N6!_M}F}x&8}8F>)0mWH6pg4SfhrmuZ2mPZm#b_
zWz+JbtP_WHIsg9);NPU-=@nE!}ncxqrhb(sO54Z^#UM=uQKlWg9
zUvOB@1}O3-=%~#RsUhUaL*3BOh#f)+3?OBLXTXWRR|9SyCu3koYb=~>>V9tIWpfq&
zJ4)lV;i&Go{laEa8#Hho8hYfa)kW|g8q`F#*EH5T;)SLL?FO&@##yFy|M62|I_<&>
zY5Uogi8n7dda3d!DxQQQ3
zNgtc$fpsO;dIi^pGGGkZQ|-yuKOli2
z6~2ODaS+T8Ai
z0TiSO*R#WHwn49$!3^?PHwhRkAOYMh_@NI=IdRLnw!(e;y?<)k_^plG4A2S5BY8|a
zcx_i@8%?AdKuIk6A0}c*9Rjfn?R(P%@}DN!X1cOwy4ST~ansOvB6=q%pTUUr@=)Gu
z7^5*rJShwC4OHmv-RkIA%b$#d+&$HF6%asn5CB6Mv7u5_?M_KffG6=$4ZgSe&!DBw
zS!XbD08tFO0rRuPCY?iAky;_biLtb)OTv(n^jmv~;PCak00wNl08-|c0Hj;}`FAc;
z#(`4!Zeol#5oWj!K=seL_>RN6Q4%JIfr;*~wbwpp4WiFYeu*r0oWh3@YIbsf!_>qq
z0!F-X=RsTv*x}dsW_AA#mkAOTU91e;PQujMVEiyJ&eSE?`!lk0S7p5v3drMAabB$z7=k_gPi5sE~a;6%eS
zurgR15)NKOqx0HQKHfU`ndh;)QlT;9&`GS!)P#pB?6_SFK;;Pui1O!yx>3-;9hL_P
z7Q=wK5U12FI-99a5KS=X#zPbt1$4nA@5Bq;BhwTgM_q?sso=2x2(`qN;(7}v8!
z2!Maz8U@UJE)Em)*=(P51FP2jEh>pyXeAF!J^eh71fjVLsH*#X-u?ZJhWHnuQg$mt
zHnDv$;fp$|2qbm_On(0SPITC!`mZ0+thb&G?C
zmwOe@yaG3&DAe2Dg%je7Z~hvYs(-5)dxFi+FFvySL&QiJ4b_WdMY6
zTbD5y7KS;4@v0X*Ctz|IiTiIt4pT+4_2|a-_)`&YGn*`BUt>g$zxmZD6({-(nhp~k
zc#hmbH>S@{(ah}lu)cNFK>~~pAafQFP}z4v^LK%-g;fz<$GxQzBQRUVQo#%FlwQEn
zE@3>;FstoXFOC2}@dCn&zg*?^o)i22Xe_9)vh~pMw7legN?D&hw$o9y|H2@%J-#KcG&}^_UT_?~ClOUmtD%%miU>fmO5Orwcze
z414HJUr`qWFe7XN!j6cnCFVKKOt`nL9sOc#Mh>lLy5hmVVoSV}Ktdh>fD^PY2MBO*
zQ^|DusMej@wCPevEPAOOA)q2c0feLdN5>f(MtZ9mj(6u0-l%FeiUxBgLL?V}=01=&
z?F+nn+P6f2>csR-Aw1VnXGx6mXnf=0>n|Q$=3SPnePtiz3l{NBz37@HX^dHWFl)G7
zH4IgK4c@o|UYxp={c7+p-VGgOZTVI9ydCUziRsLoPTC80aYuDcNIoMUl(kSLlwG!
z^EW|#FyOuT2S_&}ej3`Kya))yAXu@B0O0ZS-Jif&=fzt!xu3ab8w;=CNDn1L&b0{K
zKN`%u3nLv2CBZ@k@H7EbndmKf@INSdMcm|`+R^dr|HD5TkbF-0=?3}}w&0K5E`m8R
zV37d)-~u!Q_ytdgB>%;PNdV?0KW6v*W%qydc)#Ve_{TmPCiFSD`2!k4Tm(RXK-ua5
z6updnHzBQyP_pMB`Mx{@tYP#h4;v>9xT)FC;3ea+$&s0N7qNh+x@oUJEWtO=
zr@Ux)a&@~vJ2|FWLm}i#qZ_c)Hi4#2I8K7ruE<_G~a0X@Gxr
zU(wKaAXF$yI`8N?qUQp}9z#lZ`ZifUIxHf&`Yiag
z`}y*mJBoR5&@HZ{b3xSwi3mFlna@oo%uZ$ZFxIp7FY{N~UkxQA{?Na^yMOj{|8Cm&
zYu#dd#S7g_`be2-QY|bz$#d6uR-cW0sHcF*Y4-xFWj_mcrTYbsT|QU@ie(J$JJ;M#D8q7
zoI8HrN)Fb8RT}}M?%lU~$9dSXOvlGl_T;C<78s0wO(@V(?K!tCp081`RPgdk=e^En
z$wer;`oWirfT`8HKuGEYM;hKH(I)v|M_zTyO^N;(|
zK~#4F5J=g+rVh`r&-~%kva6{nM9Mq8Oe2q-Zp@VTm9Zxpn60nEymh_LlzXL5Z10a1
z`+MmJy|!HLYS(VKgnh-%ejyd2CV}qBF$4%sSO?`)M}D$t{@SyF3C+SQ2D>KvV)JZX
z^>Gg*4&U{3zZah3{J7wkZvT--$Df`X11KYGv44YBzChpla*T7ZS&f0)+NA$m%e))}BEkkX-TG;jbj5yP~zh5&ldIG3;+
z)g^`MEjvA)@VcxgH}+r8zl?f+J>;ITh^71d0<1FclWOx2NU%gm6fuE_=%$!XQhn|_
zS+^ZfIlJr7U9n}=Gvmq+aCK9fB)M<**`e2H-F}}v^`HW
z$1S7-T=8Is>gmfwhtbX`E$l6`p32F-+%5OT1%^Ale0uwo3g?WgrH%rIb?}(4HB$Hw
z21I7=w~%eP7wUP~vKY7j_#XXO@q;0f^3ko%CXW^!`3r<)8z{=fdg7@!WQ3ivmaCd_
zPbvm{gAly2|6hFBAhLgtjsOHS(~&7a9_+tY?`RPmH@L?#S-)8Wa*(60=={|sFM*_<
zKKfSavku1g5Cc*%((HCTdFSiR3`9cWN4C-nduzX}0DX4*6?m
zc_|V+Tek0)h6`7{^b`z)+CaV3>IE@OLsyO5wkxXpWn7dSddsy+J(DQ^l0B&4g_^O^
z37dm!rAS3+V}oeIc!ueOgbYjk_zroMrCO?$DXf$E6FS^`gYu1j^|(D<13+WEb6+Q(
z(6gyXS*ca)ftAVNQ7>ip<;bQzZ!^~|P&+O
zb-}Ottpj&XO?{l|Y|sqA!a;mh=h*V?kq=Nwi(ij>_P1zzOH@65L%*L2^mjOhmtli(
zOjRl$jhA_p1GX^m)(3w|Ox&m3fZc2>OAK<(coDXvE|LKlInG8Kty~^Xw8NPyeR-M$
zK;uMzin{x?yr^#pH|o1OcHpH^)w4tA4rR*;_d9(VX}Z`TM1rJ{hN&|J4ppk^4*f;a
zqg0sIdaSrBl_hT4gfN+H^#+}D%X~9C_esXuC`GD{OU?9J&pjIa-!X31yPdyPkpuR?
zw4*W_BpPSu6y~m@@3=`TjPO)NyW3I}L%UHx!=m2c$c25c{h
zkx&1=0ph1-HlkbIq&uAr=e9+F=?Q76J^hpRAR-hfl|Z#_j1eTEd$ec{lV(4!L_yP{
zlxuzpHk^DSMwg;C*Wm(;jUx^Y0!DV?!y|B#GQh}3IYH6BT@J8_?m{x1M6jCY7z*Z}
zv$~I^Rf!R%k)l%NbuCWshOe6IlV5X2CTz(a}X?tEY6R#n6^0ikz+=@r@@tdnq^cjS2W
z|E!_HO?#As--D+jfBYaG-%WZw9Y2>6XH>T@AMr#he_*TBpyKGv_nc_>50F42#vZAi
zW`d64d{=$=35U^ra+|kHJo)aE)aRbc2PtP0g3R~6dZ60#6fvT)SmF$p@H_(a)hwEH
zbGe4ZjZ!aMGl}OmqP=&-@nn2dUy(x9aNE$rjc0b6NLNFJt_23J?8lSZ>S=v%ww1T!FG4@*xJ?xgYX9i(>=WsLvGJprJR%Z`egFY7jg|^v
zO509P{0X~iTmO~cdi$xV+4Y|zU1u#<4EFxeaPeXoJ6t#NT|cdK+L0&}51CNwoV`Jo
zuiMONZdmlaP8-)bf^DlkCiyzqJG@!JKl88GA37ESbY@QY{4Q2{<
zoH*ReHws!hkkKcQnzpBZh;;Rp*1s*hEds5YWsAK8`1rfr)~2)n4s)~7_H|o(*bzlQ
z0^BEb&oWkFWEcs=@1B|=iS`P=Sz9wh#aHOu2U7V`Q)H&K5f^|w%720qF1#>!!ZQX!P2lNBUn&ZlA+cSEzuJJl
zbwv%d+2m-e*mh|4g6GXfxdz#ZrOJC!-0vrlJ{{~kgwDbRwhBSTrVG}(3w709Vpt0M
z>xIM6?8x)Q5&Nmp4T?q~00n&6m7(3kOhKJK+1l@_iCeMz=0y)rU8dt{jX|UZbgYud
zo+6c2&>YStix+-#2!`(T$MIF=L)Z;ycos^dAFM+{8%*fft%8*MLBuYw%BOri6591*
z1$Eiw26sgACm!rB8Y(K~PDff!?5gNu6_rcgcPo4sS1#E(M0Ts1q9OJ1eALJBlcSBd
zLT~JQ<}`F+=>9y2K;`RqjZ3DhWhY#`JfM7NwA!Hn=`#(n<+HbI(z*H_yKjVEUPiJd
ztpWHtK&1AL#ZvmpuOGxoJ<)eDZDO;NSqfa1`KmJ$n?F8_Y$d1^zho${H+&i?d*sn_
zd6!#aJicmE)mOEmS_4Z37+nMHC)`WTc*A)#_;g3k>%-iva>|=Rq%PsE`c`Mn9Jgz=
zL@uSQ`K8|EFMdGp>BrWij-$xeEjiINE_DIU)H&n0i`fd;=XK;<9CVKX#HOF7l
zHtjVtaIYx;hr*C0o5Gu)s+zEWxWG{xo*dx~Z-aNJ(hABcv+SVEV-j)AT{YKNv07I<%w&ax$
zI23As{-=-AKI?4L4mfjyWADZ`?qa>IyK-@-*S%iU*_z{r;p)&-=g{nTTnTO((+>a0
zKa-_AZ5AS!s84MKEdr^e$ym?%)AsbK(+4Av4rLMG&ccb`V{1C;9-
zrviN&>5UPeukHCRhB5H3Id$rhJ
zwLz{cj{@1f#WCf=JQv^|ME3KW{Y4bkMaJAkLD7-X63tMsg)hVeV0d*vUWw=drMoTp
zU^P1M&<*r8-jEyG)Lewf<3EB?pK2sOmOLI-JN>k_BTPNsu}DXQ)Qh|{IA}qKaPe%D
zd6sS$WH*oP13-6mK=zdC6AzK@3|LRm!Rp*jqmEJoeh<_FeuUqKrUSdwA|U%h^xa>0
zr9@m$M1|4ZTiC1-jX;10cg;BKBY=9~p`HS0L>Fg1C(2=qBm54*5&8{$3tDzJZ0l32
zmF?W<7-Z&2n;vI4WTaFP{XAFBK{YG7kQ-g$3pw!0_X85Xhaz4?n{?jIl_Nsz*4bV>
z$k)G|uYV)FG;=*MoXy)`R0}P3&qe21~-&uQ>jB(p-%I7=V2JkzXL8bw{sr*u6D~y8s|o{nFB}
zr(vlucM?yqyZ>r`-ec}E{g&QG@V8wASou8L*R;@DSj7MNF(=7aI99T+qL~*+_49{l`7P8
zx!_f^r~H5u@k?cR%Y^5+HfVvarh#PSi$cNGmle;;Ic~s~Vd2Entj9v*ewJE^h<@m6
z%j%GUQasZ-;%u0X{jiDR&9}ED2j4H_><^%f;S5!~SA>LoKLQkC0^i@2Gja{1Yv^3e
zn|)h;#d;q&4u3z7$|rfBK5Coxl;JsUMThLv;)z<3}4aUH++GQ0DpRd2c8s*UoZw&(c3Uv5SzfttSCs+Ey%Hogk
zQV(>eo>_VPVNRbGZaF_ul??NpM$cS>g)Kn;OJEa@#8#KiZWq$#jWH0imq?ak?EJ#x
zYbNKtw6rtB+fRI{tkYG^j-Ds_u3;^1r$o=296(t>VeZof9zd>#b&OglKkSR$SI%1P
zI&-8K?C&jM&5V28k&qajRGzKSm+_Vmo>G100@~>8P3I>}vwWj1*~8GBU>Z!jAKK8z
zwnDN~ESLMY3}Z}gvn!TPcW@s>iFtI3oJdM-Tuc6|J6r|7H>UG3BQ5__ZHhYpJA9v=
z@rX^ZX6w_zbf+nq!u(twWRhlLrJnkR_@QM;kXI)Q3r8)79R4cBd#kDY`sE(e+h%n9syh^UWtLe2}G2m7osmeFqd^-ywkg
zLct>#+IGH%a_vsijgJ+jxRc`O{I#^T=;G?{w%7U(z7Sp_hEj=JASF6zH-Y1qY+bef
zkxXNWO|t_Cp2MFKNjo!=zt`A|gH=c+CN2CyY*F0>vA;6=UEq&J^j!8h`Gf%W`}auiNMYk|tENG7W4?gE-7Xwk0ISH1oJbU$!NlLnc79`8mmyhvDn6T`C-_
zEvC-3!s&E~=`>i2Ha;F)tk-dTbBy1%A;vs_^7PP17AsCM#M
zb;fLI==|JeqWd~@*X{LycD6a*&!Qb=i)_T~Neoyc@$lWlBTr!j3`yFez%J1KKb^+Ma4i2ZV
zXKCgUK3aMX^|bV->F0&f#Thpl`W`yanOn5sv5yf_bZAY^^_K=&OG#5;Q
z)|g}tE5g9*3`_2R1HQOzYDt-w+0k78u%7A6Tgm?c?#>TC@6~Alp=bbh9l+wn0V>T@
z8?q}IEV3pa9Fig%u2pDoc(^E+OlK&Be($NKt4sff*e$KEQuZw6(X;dPqJBD`o*w>&
zUdET2QkLkcU$G+mu*9&zib1C9(BM9Z9Tj3}T`3X6&uL^CQhu1;?)cVv>#g3$0V4GC
zHFS3KgDQE6e+M*gzMpA1#ogn6ybgJ~0PE7jIKCOW?`y(5k;jxJe2pS_h6tcq$UPeo
ze024_?uW4w{Y*nX``~X5r!P*nFnK@#j`{iX$$F{qdP2*cgp8-Z+4%OyF&R}8Tdkd6
z54r9x(h|x3N8heoSgd>!E5T!v3Gn(iIZ^!}Oc(2N{!epirj{>Lfl%T%jmF;jFdse7
zqq5s=D*If-%3p|I)hWxo^3f~qWH0tq;e6Zgk-skyKR&vmzS?p7_CQQXEM1H@tm&}F
zJVVRfN}-HUn?fX^Amxn!hGjJa!S~8EaV``ZW9Qp6tyd@jW-_?+CArrEgRG
z!oQ-Hwrhfd<)4K0Qm_D7!sS5PPt%pDx-#Xz`Tg&g?puBT(RyNp->9C-1HjbB{Ggb_
zcD**=0*&rmiFx>EOlQ0~xhSZT2qM6au8(jXwRbu+l*zmI+XJqA3Ck$2*?l$vaescm
z^_J(UYB0&5qS`8C6H}NQw68Zp`9X(`^%HyEAJkvGIea0&p?L9}imNNYcMfNolL^ra
zN}F)s)oFT0T;@4#Bez*TBLEk&D;Vp?1szSrVl
zE@z!$qXgZ)>E5ZAbp~;IYuvPZT~71B@5`=IcnznUE=_1Xt{SNHf7K5rd+W$MVAc}jLtU{EJF{Gj
zCyMnGk^~^Lj_#+hACGfZtj8ya5JOd+&-FUZ`FRqL@Fxs)o`DZJ;_LT-matZ({?h-h?J<0mIZ2w64kPZMGNIB8EHgMK5_{wYMK~%pV^P@<>
zOk5n@CEL@v$<-X(ZidFtKghsO0<@?EhgikfQ5YhP#(+rt8Akw*sJQ!zV}9lv7gbPg
zzVbdhnU)zaADbtI7*o1lu8>9`OVxUsutH)YXB51H6pa?A-LXd2-=`IDC%xNPYqNW8
zG{2|@6uYYC5>}eb+%dIhneWFaT}&9zoSfyWWQaU<+i)9z2Z$1f?A{iwXo0(f#~!E`
z?_!Gw61h8Od3?Zx;|?1FT`8B~_G6z=r)aQk9~?EEQ;Q0-U}Y3fOgIH
zo6~n3$D=T_RU*=d?!e+(=aBn|uwARMxY2&JNi?4w7bQgBDR2`_EH`@4fXOi$R9F7i
zZ)UMhG>Rb&WB&*Wc3&$}_l%7kU6w@nb6L`}T{(tuvIuAWVZ5^^iL$aywXWRY{D@AQT8ZEWOD{-W8wdxgm}<*77Tpo2a$?if`M8}
zy^eAp*Ct`9$SdKMSUJuGc)4&zEB!(y;jI;}ZCVR9p_hC<{@ipDB{YW1mY=6}C7gLI
z(Xcu?hfyp2es|IEFdd?NoW_3jnuJ5#ZIp8oK=tPZ2wU^~v8CoR2jx~gqRH7XtGjSD
zd5m5HLF%V&RR}?VB_c8=h_@}OkzqwCD
z)ewN325b9fa-5;JU4hmQ02M`>RNU%{qDj7$2>=8*Oe-|!7ADa6*g@~1$~UU|&KE*8
zP3gGdo%z05$lxnO3A#YVeyd3geBMV}v^h_~ZeAGmnk4rt-k<&Iab3)@$sJD*%%f;|
z99S3~5jTy3&koC8o0v3eP)((jPKvOfG+Dyu1#P-{b4|JekeOM^ro)Dr}`GW&6dNbb$^dkGa1d=+Zb%U`a+0C%oUj
z9JOihm(dr80z3xPYNZ{$*P6xrLu}7UTon0eF|k<9UcK;Ofna2fL}C2FZvQ!5ec87C
zK(+{|;z|ldmDd^Q3MN9z$Gub=ajxmv#Wg)C4e-14z~QMNz8_yw@QAX7>(m4}_)
zy&2EH9%HYh{54&5`%-Aw>qryjTrxs|V8Kzb%US%sMyMk^`Gv6&uzj1=YiKN0^H_vu
zQQX*2*DvyAWtK@K#~iix%i~~=UR7w`!7ZhNi46+tTD*d4+S&ZOiLbFkcWLAX#?)?bF`9~CwD{v#iEk4HZS{O5%eypwrMbQXHGr0hCSpFr{+rls~3=~^kGA8C3%Wb4+3^BDoXui*Iqzs6eQUSIyK5tuY&r@aRhQuH9%3&IIO!WgeQO`
z*3c?YFo6R|bqQVb3vrz3TH<3LC**C$9S5
zCHD)J0TM!)qfjaw(%>wr-Xjl!6g$bdE(wP%5TR1V#au}hGhBcLOLPF`T;a}1ED%Q0c=p@ATlrb^~oh{*_9v;Kk(`78o5~{r9f3}
z2?SP=JdRX-;Dr4Gh5Fx-KHj7-4U(02`X5PDatpL2r|6pOU?5%?nz_
ziU^7cE#}Y>Z`Dz;hUe!^7|2inOCie+3d59~_>oK;m#ok)VFLmPJqaHE0cD@d0n5B+
za^qefT3;TkKauJ4O(Q;Y`K{|8H~$2%Ax_32d5KIP4vKVkT?IL1LnRfVF1E4&joGBb
zktqTVp?pA!0EE5`VAlP5BSAK?;+1$2<0KBoJ3M(*!(pm5Q4|+l4NZHn!j25`QReJh
zDx=D~NNqA?zc6J|W9^+sc4!R*r?zoHjLdPT`$`;h-=qY2j^A!)33Faeu{eaVb9tiR
z3Hi7VrsC>Z!(yjnNxA#Jv|+z$D!qGZ(ciGYZZx@SIuh-D@E3=YL-uG85=2?FfA6)x
zfKi~T2^3rgkYr-x5J#HeeINz?*xMb2S3{6I&L2N2JkS7=N){f_JagnYNs>|_%`bU`
zUw$eU=YeIu1L*-dFqsL)w|QwbBDL$1txvqL-w(HZ?9hGJ{Q)s96k
zfiDi8P~ac*Tr~_nrQ0~0;*(4|d27{cYUY_(LNWZE=X|o~x}QQ(@~K%e{DZiId6_}c
zu%WpSJ}S_jU=3k+-uby7pJjk`fCgqbc?xkjti;@%kU2NTPl|kloD}T>n$8g8l#+{>
zl9li1kx;4{wBEk{xK`la&!j^4=YCG`oCLJP=2{Gk%b#@W`GH)?Vk#wom3m2)a?$+I
zDG58U!?N(L8^GTGo6nohq_vaqKLwGThfPN=(mIbg+cOuMJI_r+c}ZF3IM-V
zX0yt3{hm*A^zL7pA{#Aa2FWo|0m+N>4u=c%D$gj7c8x>H_jQth)RYvc)XqOb^cDOM
zX*3XeDiaD70~50xM5qqZ;Z0JJZxAa&91kSX@OYP+Q=^8{Y+^EA=b_=^M9+ROUM~1!
zFZ$Z2pm>_kZgfTWYzRu@(yWo8w?ehw>crAvj%b+ez6xG`Je1%nLk&AAMa0
zjiS$!HNXLBV8#A44X2t$n1jSttnChN3!L^H>b#EnlJ-?Ie#&#d8tkp*_(>z@m$?sR
zDPv(pqpusmnrfr@jfUUDhs8347QckXoU^z8?)Nk=R-B9d!(bqsbhS$T4V@rLpX34~
z$@~nZ?X?37c8LG|y8PGs(%BE5(J4->95u_wuJ*6w9Eyfz`dMV&rET+8=Pl-`pLv`^
zUSy7v=K@)3f~A!(A4UYJ6oDZi06XVD)*$w!r1X#fX)m3ozvu%?Loe5kb51#@kcpVh
zC$;1Ruv|vjr_>zdQnG4Bg@IF4Rcfp1JEtT2St^8W5D7&32XY{UI_x6~VQGRRslv0-
z$iTIvnP^Jl`ekApji|i;9O*MC8+PL)ZKjb0Y)8m~7@v}Iv^U>tFMtx|oysz-#L}Kv0`1Ka|Lq`KY^15`td#+k_9b_Pb;8pa+FzJj4|XKN
z9(Rr-WbXN$9bV3fL}`ZfXnyqkt7rDH8``$;KhuZKmE%GMuF&m3oPDE%{UuZI)eWOw
z-~;_F+1wG>UFKaX3_1e6@#m#usw(2lwlH0E!Gl5B9vej;=4fsEgUbsfs9()Ry#G#)
zW;uMbx0<_D4Y&MRBcGrpR|-<49rjah2zGj^lLm-CCLjL!!l&2J#ZxknOA-_6hGn~Nx^lioUc-P?SCqlSgJ9)0QO
z?Lm7RCv|duT5+1(D19wTh?A|LvG8u6X{8JUwJEus{k^{Q!}U)FopZxL-)`-c%)@*0jwGKL
zhLcFRIRqi}GTBcBENg7wGqAkH`$Sg$GV2
ziod77w{m%D{=bt}4m&6OH9)SD_i2S@C}631GI#owj`5sRt(Kne^5hd1d?A3L01OOz
z<)}an)Hw$~yKQxovl$k-qs#X7uLf3+X0f`n1~wlobUSYziD!%*)EHGDoRK2+2GhRj
zG&tz#gYoX8T2RP`>204X_l_yFuYA#Bth|%qM4bFl&fp?bCW}S!3w68eojJAaPPu9n
zb^4CY)q?k$8T4a?D&~)etwHB)e0qstqMRqlhqyGVVmVVPA?Ak{S<0N8p71j=B_j<)
zGBbGLGNUL-g#EcM4-pP)RE>&IK$3Pjr~E3L=7jjltw?cWI`=2
z@TH^fp;mrkgh73PvY`v76Jf&+{y7H;9cra%y;{!PqTz}swcFLPP2d}s4
zX*+s1{^&2IlfRU%op{~iXWm5oA(@JC9Oy8gMoUlKQH2cQ
z#e%oD7wZ_Wx1H`SP;l#bUSMBs$d2c7*VR0W_7RVb$$nM8--(zHH?x@%s{#oMQ}R#E
zsq;l-fUAnosA>jK3Lzu5d?ZTdoPp-Sq~n4CbbX89Ytt6%Y_lh^3eA^kvF
z%dr{_^AGMfV?Vvh2`+M8x_h|!v0UJ?jyqF;&2CvIQQT6lR=x%);fFj&3$hs=rjO%{r+GPRNG6(@FfKs|EXMK#l6
zT^m@rjuwOFOXw@FeHZ@o#92M{czzV1b}&xPhnzlzW1ousBdQSyG!tXEybR$Y_pj63hwj7qLq8*0cHP*ir6NH<
zm+yBCn;|luCI%rX299dwOwQL1#p=X)Phas`o?1Qig0%bg`v}*K*Bu`#iUoVQE~X+c
z)H#x3v$}CZJ6aG8x3|_G3eWG$zx&qH3m(>Bxu?tFcAC-UDW4PHFMhchcy3>YlRl2E
zGiXHG+yM{a0QNP}a?{mRFP!dPfMbGO@Tf7O3Owif%i>*6tB{X(4x6}9Dzpo6HYr3m
zkJI+l3z0SzNnZ6<>2*`36?=Wo?(r#U(7`49@nvo{_@P%k{m)@WIKt%3_g7L7SozJz
z7q*|b+bL*NCNJjCl6-psr<;|ob4EVykMVXDScX5_A0T3P3WA`LlOW*7@2iP!bv_iC
ze-u`F{2jKctEC%w)Jam&!S=~i=%Kw2&ypYZZkg)^+yq9ssHlKCbDtTYVL)13&~BS;
z$MwbL6uCI_vL3?)oz=#qI6~4N2U*5fqf`S{?A5vfm(jqeBU90hCo(1Bw@>}g{!G?S
zAqJFDCbH5rYwmX$|HohU*3Z*t|7?Y^IrnSLQ~GF$&ASiG>&V9#ERw}6c>V{~xU&Q>
zpwL-*Z|DK{mw{%j(WmJV353T|zP9M212-F7pfhdlXX?~TOtc1u$=KpSkK)-&+8SnF2%993YI)(@lLoj)2`R$xp7s)e`$8o_^v)^YNR*N
zQ{60Nva3M5Yl=2iyi)g}&};>hP)bH_4_MR
zAuu2VB%gm*t#yH-es|zQxkH{zbU!)g-)rdI`z4rrUu{c!m-Fwb4H^VJ3ELC-*fzp3
z^{N*eTHj%8kn(?Qy?0O(?;G~J2?+!eAR!@CHG~$b^bRJWh2Fbp=tV#f@Qa9;(7SX&
zKsurn>4KordlwWGF;oFX5gS%se&@`b_n-6c&d$#6?C$f-ec#u0eYBZoT>#!{Y#ZX0
zerC>tue)s-%;^KSRR3vVv^UibApjK!UgwK5FAu{@Fxj(N`
zo(p@qdi_oOk2gw&g3T$?0JFXDjkm|Su-Vv^R}@?|;vhc&Tc|
zl9MvdIIO}^#W=RoTT~lHtM4!22gvgUU(!ww?=&Q{FYVwF1O&e>JQlMYTbbr<8{$x;
z-XC5W>CyQ5;~wlE%(3$lxWIwG`~@LJLabuQBZEWim7;RyL2Y_M>768`Pt~-swWBYq
zgOAMi$!%+YEzsovHW|9Y+8Bwj%CnN>@oycPEx!1r>lMp2(c1n-AG@!8IwiiszNc#U
zT9e=JQxSmuaPjGW&MEVx7bl!GWJ%5&U$h86b6MWdB5eR!Q#1#|=L}F{*BLG3+Wc?#
zbf8YAh(V0guODM
zxQsUDq$XL~hSBi_D-N}X6mnL!oG{9r&7+2^p(^D}VU@uj?;M#RkyM>75a;$R1fvH6
ztReugN)yO(ZI*lRfh}By1ykv#7k_41R7`R!b$tPheP4tDzs@(bwH|iMV6gl%QO2R@t41-B3t8x59L9;rPg}p`FS0|?uo!ozZ
z@JAf>gZqu{9Xe{8i}^*nR58<~T@$bN!Ez!JIQ~_2F_WC<3WR&Gp=ke_@t_iBIz0C#hxCVMQ?70a~1nU
zFd@xxiK@O>?SB7Q-Xj{^Wg(l>Bl8{>m`kw-{!3#fK@{j!Sq~n3B;BgC7mT(#e$DT{
z38VNH^RAaIkCX_pg#vN0;^0(!T>m|DMy=u-8q6J){mcgzi&1EPSuaRem-b?Sx!)`7
zHy)8!F`}kI;M#?@H7BktA2hyM22c}5pO&-rM{1#*aH04lOUS8p8e~3U(=tJ0p%3ev
zrq(ZXmL`{!t=&@w{re7akqDL&jbx3Db7Pk2Z1QJcZ`(Z}oxFu{Zp+6XKO=`q
zcjcAkf3!s8f565fDX__vv=o~KD#N9WsmMBt*8WW!&DwINAgr2GOPxWf+LmkV0-Ycw
zkY#2%;?I)B&)UTMwx=$aZZ=1Lr#wsJd6fLMu;!(Tx(^zZ@^9(dwWwq2O8WZP=V(2N#t$0{LhC@t
zug8VF3%I{UNs3WcepUjKJIKdmAw<6n`8+!+j#m%9kond2hh~R>Q|y_OutAAGWxj5`
z`G(T+t`eBhmQdbuY|jo|W0cN%fW26Jw}tw%N*t~jsmT;i9=i48QqDD1os^^1o@cjP
z#HC|iMYlf4D(xG_B|REowtYfQNA%-dmXe-uuO&Qer#t^P$k^UEOgOz-71zCxB;Jwv
z(}H)9Bedz+-z>&GrI9Td5bRvBfa6##gVxYk?({}c8+6p9iZ?lO`45h${;z9BOXpKb~QGG~s?CJd+Bq>4kbE
zv+;{<;QMh3vuC$s@x1pD_cxX`)|cyvtXKf-=6?#1q;+KhW(guS>D6tyS#$ca(FU&745?B3Lse=1^8S6HH*6HgzDvREJsG_%q
zCR+%b8gh;@xH_mzdJN_!TA(|elSP;sc~&m_-4;1Eh;dNuT%#LTfxT{sJ%{H3fKyRI
z{9;3VK@7`PoQ_Jr#WuhS14SP%3?n~XLKgROZht~o3GpIgIQM7>*xIG1G-rMvv^%L+
zsh>}~pGy^tv3?gyH00DPk5ynn&+Bu3=*9ghJIzkU7L>D&11#^V;17rfnH3!AG2UTb
zA_ccJYy)@(#y*P7pZ$sxK*an4i1VAcNVN*qMrjUaAvCi5@Z^@mk<3>$N75?IbBTTB+9kP&z0WbVAezs2ov5q})
zZa@wYUvcOtUEyPMA*4tOZ?W4ON)ta&rW~+_&iCqFm=h;}P`8AGU^o&s-lWlsES{!N?@qUl&;M67`z0l
ztQlT{MUrI$SY=Fv4yGY9MQ>Dz`4i$f_L@7YKvK#T(G`io^U?^Pe)gm*Y|d1|T$)0x
zFgluQHAsZx*3~nqtc?tWN*Sxxh@&qZNi~92;g#ulcs8dgo=aw^DmyGuRd*d!x1n|B
zP>Vs%5F=w3sbLi)VdZ`{Jmqn?OXDB48WuYQ?pi4nCF
zRo75Fk*ZjxWL&LeJh3rDBU6C|QuJ9zjV5vFEOv~(Q9q7jn&`gn&K`+FCnevgsVTs?
z!8hLpWa83JOnhIdh*cQCpVI`y=P?q652<)epLjXj0~K$)VB5KZUNVRXF97f@(~LM#
z_KY&?O4{%pyf%$F1(sllL4!svddB6dyEEv%C<>G>#gxnl(he~35%?=ua|Kgi}+tx!dqU?#vwr%
zDhTr-DUG_>E-7Xc&Ti?(?U0Dhabme~znRV@!9vJvRmuQZmVCijdyv*|cYnwn482q_wn;=D
z(Kt^d+(>Ywk{dhOOtLER_ldi9kBH6=cdG0~N0N@kJmDSoXS}n~*4usZnyS{T`4bS7C=_v!G=m>!2
zdD)^09u`0ZBXRF>>tLU1A7xM7lwKAD*j{b(a{Q089ZJN8o$$_NJKfm5e}kORS0u6-^s@1?1Ez@r3Mt~^2M9*l8HavhW$*)_3@R%m
zXzhc1`b`+pm+~K1pq3k^gT|p_d+SV9LPKEuSVT4noZdR|UM+zAs258}6f4+fCXrE*
zAejuK^FXhR!WZGA7HKV^)N@~j>xm9&XGIBJ`KW4P>7V45hngbh$WaT9`LdhoydvbY
z^R(RI)6a{=D|nUq*pOzzzMwJ*QdQOxFh?&SjdYcRiZ+<8KVMhxW1S+=HL+`lm#
zK`8t#pNMJ&z}a-RmI04kD)pM=6FYJJXLHxW?gIj>Fft_<%;{R
zYkUZIAHOkI$8i`-YEo$`gE!9Zj+E=)RW#M2D`UuCaHJ{Z*-CLP+-L|~xS8?O7xkCJg9=eeW;9qaIy>vLv2gHytVyK6z{qbN)
z|LtBTZw8A(ILBZ;_s%N;ac~;~&l>~*n#x{9>Z6Li)%S+$?Q#egUbPhEww?p~H`NK9
z+o(TR!Sl5VJE$(=N$0Gk3g?TqGyW4k`qj)%#>9{WzK?Kgt#QfHkvqgrcO$flTa+?+
zQVh>|$bbfqeou;6iIaWQ
z=7LxTpB~#d-4yvQT)!Ar0^FH=$*x1^U~~I>*YWx+p0mu8X|hc6oI4_-7oSgMEtZ+7
z`K{}F4e!h=PCe?|AC6abAN{*-!(&bGEEM;g)`=v&tMQh-6w7sG!(zq1)vGA7ISWq`ZzDB{JL6;AJD_*C|A{57v3>Y$**AD<90*
zDn~(#(Y*8B0iu2B;PHpHCN+N^|7{;DiPEBlwy!ozBg=29Ff2A=S?dF;KxHiE#b9Ok
zGbMM@YH-YY40~1gw*L%-Bg@girG`@BDSpFPVKSRF(^BSuY`x3I!oX$RI(F#s9G~y<
zu`tuTrtWB->+%E>-nc|KYK?18p0nqHr)c9%NR;(v8F`%+`vySo5QW4l%Kybk000-i
za)5L&ymLl)_&a8$e>~rWlX4kf1|ZU?c<)=RjX1cp<*V{HBKf{It;~apOO|i25C{Bz
z0uQyweZ(*htU1Z$kjCK&;sF=hrTL%P#l_I|4pS$Nv=AUDdOAFdCL0Vm%J`orq*F}&=)gO6}8
zE&P{J6)DE|fY0Pt%&Vtm#|SXz9z#2y$o4Nj{O;3D>;<1{U!T@!WmxatxhfHNe7_N^
zzt$Q34v)PFrj_-WZi|Xa%?d0>I7X{n^=lY@M*!Jag0Lk*oT=~x>y&GyKRhIMjsk@N
zw+(t~?0yOFR~qLFfGxXbWwKr3MJwc~H*@V^dAP&nGVLQ8{_9`-7v*QVYHwMnTmPvC
zeIjn0i#4nk^5|!3V{`wwb`H;0>-QA0bMe$3aU*d>asy;7E@Njs4nF?EUv
zUcm3GV;uC7M?+UAsCXQLGsXae{y)LNyA=c{f%L7Pxjx2sWzx>A{nX*?f<85b9?+_QP{`^9M_pO9S0-d_!t;`_;qMm`uSYLl;r6ssPQ>R9!aqI4j=86v
zj#OF$aZ!}qlJyV!>v&LlO)n+njXz59JaxXf2|raujY3sX%vgKjKvGGLN)8xzk_*LK
z@$qp;6X{XDbHe5egGWSP4%+ljXH6Yn-ZO5=iKP4tI`xtrsP#|N&kQMUxn+(29^Q*imTsZlsJ^rI-WG0p3M3J`1mL#GaI$GR>xrzQ#gqxaI*D92
zZ-Nn!LN!N}c<%*)l&=~va$dDqoVet~Mr41H?2U4`QxX_MCab67+@lHr;H)gUMS854
zy?{8_BOUWNI)2X|n0WcuKt8^k8w^l$3>4+C3BrHQiia>xYQ}PPs^>V~K9Wmpv=_pC
zlF@bdKwpVUO2r;W5D^zGr~Mu`@c@<|V{((+CUiuK>ntaNHGbk)k6~oieBTt=*L;^7
zd#fb{cMNsti%Kb0h)2{I|D1_2ZBPZYe*bMO76`Rk}IQe
z6R7mtN&t-ow$uwRCMI?5xG|YDrQNQ_G4D*yW(daES9}edWH??f)c!1tD>WiFZ5m{r
z(i-5Ypv9#rfgDOShUCHzlY86xdAgCe_}s0!Q+vl{=6Dy8$q`vE|3aBY-~;_fFA-Nj
zv|OFfu|j~ZX~y}c^StUzTw!uCECJMVD5H?w%4=D0huU5hn=qzSKh&LN*(~n?B_ftL?0`uusa#2b
z&VXFB)Ge_LknXZtFygE>B80$XwtpHr%pZ8TNgHVKhmM9tLH99^gF@
z`pQd(m3vPlpVpHs*J@OEn_ZYQi23=VB+0(@WRa*O&5Q
z6CaobR%9lyw^3WGR1O7jRUL8heF{^vy&aNA#@WwX)HSPO7
zPKLO#7>G@H>7S?yw|fVJR^eoX;#L3q>OU)3R2T`G!eo?r=ZWap68gL)Kmu{$XLL2A5HjYaEb^v#ELstu&o#umrawV!CI_6n0ca9;(5AxWN25CcG07wj&3mVnq841P
zpSlptGhH^(yQjcraWagFSV~g*O0D+3sAnqFd}nGgw#w(?AUbFk4AkKEc-qRK2u5Gz
z*>(F=%wIfUnCkjTQpTHYD>5hH@qT!J5zKl})$HBsQ^ozu20vCMJpGh-S2M)`B8Ys~
zGgZ1$ZYR;u^4h;$i!vunE+O~#X3yffcpGnlJH>+^DCknED(|uno8xW^9?JdtFS%ne
zgQHmELF<6hhpPtNC3D1E<~1TLlmky;21vXNtS5Jj3bGA)@XlV_fSb3PAnlDA21NVwEO3y@x-)4pG}>*F#A
zF&*~2Q2c`1$P&V>CIb)?gsiTgs!hO#T>kh%U_nWH+%8I%!2M7-z``2NK5#LP$l^g|
zVVOq$E)KluU2E}XIU^eX*h;fr5F;U!p=VUD8>(=aNKyplu
zQKTj*Sc_wPMp1s938$74+&_yqIVk@Aer)PbOvRE?AMtWCg+_d?O1;Nmj+BFj9)SIZ
zEHs+s>snCH6kjK{qhNCGZ?}b$WZ-O@=
zVL^dTs}2hvN*?~qMOo7_Bk{m%Qddc^ll&?VOZzradFOnz7LHla4Kamt6GX*bk!Ram
zyQx7EGtK0GXr=I<~J-VEg$!_!+S*Ehv$M^P0pkIpsP
zP*yq*$?RYl!-p~~3cIqR%6zGb`7)A)OPD3Lh6Theby?0AV6co5*vTI1ZNc!^-c#LR
zfFA>+A218fIbF{bMuQR^#gFM5)I3Hj{Z
zG%E*oNBQ;g)iA;2oAb!1TZHWE&Hs56kD&_3FcM{jLg5~~$(OyCxP2_KYQiP9bJ?yV
z;VZ1%FFaB10Jy^2#Eb^cW)0G5W*Ll=`0ppWO`fG<3;t!<)-3z%M`2vUytGv?G)Rcq
zR4z+*POXZfUG?+W{q>hTf$|icHL&JEF{iVjif)-{UzmVZIi@TB#zu+R+?fk_X2m9^
z>&-lwhd635pSG0-Pl&>!W{3eFmmQ7oZZ7jB!2c3X!?Ow&XGv0DlO!w0U{d1GI^ofh
z+sVpa@KMM4B{RC=0%5KK%~cli#a0h$
z@$S~LepzE~#ik(@7ZL?;zCb&Bp=4(B&q>M)3Q3%F>DxbFJxe!>{^=%U#lrLzoyL61
zbum)X<2WTYh8zC4wp~MTYcalpkIQLCq5Jch$3CdPpD{r{E3sBJQn0X3`OrXHfzfrN
zyN}F#kYV`@OLCtb_s<75bJ?QYb*ITC!=$Z@zzZwOtifbL}ov6*C
zq2d#$lgxTYY-jfM@D?dJ#d$703VbU0m#KgT79Ecn7Q@_45afgl#WzWgCShxCx9)Wu
zw}SWLU79_%3Itwx$&jyKm$zvVJ#3}vQG$;I4gIU@jUBW>m*47Q^W9KYncjjS5Tqta
z4BX_3qF=b)p>BnNYH|y(a<>_FblfgWP-qdwR}G-<2+lDhRa&itq5>Byux{-F&5wpO
z1jkWbqs{FSUEyVFokAfQ_kW|)H9b;)hrP6EleBKc9(BIjqh$#QF1_oBi+Oa8gr&T1
zF1%FEqpnyj)#7ry!%n`|ZSCg*e>*D*Z3Sk>KMXsV24k~$Ti@xpw4u)JNTdc~(rq)`RqEg}?D6|u}Dbm9?
za~;g*8XS6ttfElt2r{oxp$gVdbba`8ag%e_kdPnwYE*Lqf_wdX{P3l$(f8ccX2Q5s
z|6m`taxwar_aLROkM>8QRiLBJq$4S<+()Z7rN=HUpx4gIH7g3E8g-0!`+(kvcvjrg
z=}s9bQX5UG7)Y3JQlFa;w1Pnk&EH6k<4t<*_qZqZ3&!6$IXEWJtnIx#Xa@3YHJu>4
z$V>^Qy1At%&L{6)&8jl#$s9*{S!Q<4-P5<4)SdG+cEHq}=o}L>sM3yNKQWmdgM#vP
zFHJi-qO3l53wE0l#+|dO{6^$2p$5{hZ|myLcaDfkn0crrY*XgMl;;-GW-Ob>{s?B|
zYY}dBPaAaihe|!N42GV1E;w30KAWvT+Z&xlB+d)s75_Zrv3jEJrhPMeMr~@2RzLOT
z_fxaAr!k6;^c&hdn<3O*&r=vW{q^XI$un=q&Y6|*&Jd5J*T>JD-YEE+su`HgYq&uP
z0r>q+-?!tJIn>4;n?B1_7_k0t!lUcC^OQr&2;Hwl#_&o1i^pBjCOtj=jibL?I|Lmc
zA%I2cmqmOpX^ZaI&nc(>mWc_rUz@rY5Q$G)8BJ}iJBS+NdBT0yZ?WaS=ZX8SUsasyb`0sr`!k7!4P&R4eN#(rR?SNs
zLL4$9J^sd{Ue)^2JG&ZQcgwt)HJxeRTOQqixiEmQcYb`n{bgtQ3Y@Ysv!4vsoM|jr
zdY;~NQR_n7jr_OqcY#^v&DVmP=|hrZ@ih4GhyAx1W=+<&kEe7aU#B#
zd*u|E!F+lYth16E@De%ANDVc;^LMn6c>?=!t!V1mBYzBkV{d+7T~hwjlkmrL4U=D2
z1{eRX5lo)D2~FKmS%-5}k^JkpK}D}C2pxgXPo3Uqf^SgP26?B~lTFue<`Ry~Jl?5o
zYL|?0rfe*73GJ7c$uo^E+@teMDG+fC;wePQT@yfOSZIc0@<
z6Sy57wBmVz8@Y%tQdw|2qF?3MF*=XcuGzM7<9C>azP*a#%zOL#_4bwGRi4v3M$!}5
z=~>Y${GwvpgMDiM;IA*sdRS@i%Aeo8+|z!0Rml7_G(O`P6P5Aq!S8n^fA=bN)NIVT
z$v6l=g&1V+P1Zu7O!
zQ->kd@w1^jXPrMheK!f1HOAZRzl%=kHM@{_sP^o`)a#PF<{9C?rwEg7t8TEjJ34RX
zPiUE+clIbB3Haa<*PiN2{A;e`zyZ@8@3Ha5Pn_qrUy~2&6Sv8U2hI}^1KjDmBA*<8
zd_r;_nx3*oUk-8=vc)#vqpY@5*FFh-I`sX#vKXVN|J41w*T;GC;pQI<&kV+%@M5z)
zgY)m9?pyKSZ+ucZ#}#Z`F3wtVg8PkFa>pm%&Y*LVz>;~+Vl6I?Ub&Pl;c&wrMf
z|4?ff^iV}{-pgz7Z^7C0mHCJn>=R`BBW3#w@sE`IzTWbuXll+2kK@x4jRcwW3)
zDPHcy_`pPT
zy{X;ew=<-vw=VJtl2v^`e)Nv1j)AA3DPvg?he$~Vrv@i@)j
z2Bl%1gfCVOORkN-7jm9oe|scqGT2~_X)Em+;4H78bmq;djamqjWk;ru|IBz4hE3H9
zea;(o`P+(JXq#HafB1p;IJo`^({=IR3`Vh___+WS31lCOfGlSjq&QZzH)&~`ArOxe
zHLr4vtPh%@z(_(%ra6x3VxOKf#d(hS$8y~x(b6L^SqYKi@jed)b?9Ns9
zZ3^wK8k~feest|o*~M~qe;d2ld-Ds2*oWsb4vC=;vED07&67j?!e2!1AB;J-`JTDF
zU2mm0HCCd3OKi&CbGx1fIi)1O7`Q{&<1FD#8f=f14o&XKwb$uFnziVQfFeF`$FFJ8l1gsJe!Q+ONhmirnH|$2n!-lK>|^J{!VT
zE%&4?v`N0`w~XAx1KYVN&4vL5nIB-~ua?7;=ci^EI__qireOeJsp*i?EUJ1|Kg`Db
zmc}LPE+vn^*@6X;aQwM(xuo2SNQH_r@iZ#9{P;J)6{%UduoLFc9W@)K*$X>AHB?`-
z;+vf8e4~9vyuK-B4ludH=8%au$#Mv29S?mX`H$;GrFgowa&?IMuWGxLTv#N|9`_WRw3oDKSgIx?
z_?PVNg5=c3W&LWtd)Ej|I(4>+y?ErCP8n14@R0Pk+N>DXZWchKN|F|rrJdH^?w4@Y?UaKVLPw)mAiG0@$^M>gM#HNP)c{y{Rqj+zwj5
z0dIMHsL^@Qi!Zr+uJ-Ci&TXSm&E@)?w;e9k>lN$i|8ZX1YJErfmaX;R5$O#)r8*F(
zjp*Y7B03AkryLwcSt8nRpA&92XS=EO#v|Ev=Ma8}>5JmjW&8n}3X*Z}j45c8H@kn@
zEP6yTwk-v20|0^%y=A@3y6-{x5SUj*joiI6Y%;cac$J(y
zE|T|y6(IB#ltI!JuIZ1)QA4k8GA)UVc$u0wx5h4rRPds#O)|fRC_Q#^0denRVqDl61>}Hr0BUGpVs-)!NlN7
zMGLn=g%W6joyT8`=Kb6uj^yJcD~Zf&zasVv{kGRrHO`A$Je5_x*hMLp*gtDfbSB+Q
z_jeacE?!A0h%S6dg^j1k_G=sz70*bpL^b<`C4lYVWT{ZwyH|$qu|Ll^C-L0y7I{}#
zt%3E6kicrz(-jUD2
zV8ahTUd5JqX$;Z})*6TI>9aqOyqRY-`&IR62K9b-F={OQ?TAae(vPl)cDUCY-S|@<
zLJR^Zy8N586te>`H?-Wq&wmv6DIrmqm18Ekcd@m#!r$&$Zb=QwAjQzY0=X7L@t_9M6>-P3Btw6#1S4t6uGa@0mazou
zL*|(s&wSJ4nXxnQ7>+QaML{r~O{8YD4v}Dee>ks$#Cj_NW8|IA>o!}Ye(Ul}t-C6r
zTau|yNBI%fUce6UTtPlgaEY2JrKbl|?D6HNOXZOac?lK14HXjm1+{7#Vt&zKCiwIQ
zvnF0Z?t+P_u0q~SrmAR_k}P@EY4XhZf+rqwsBWM~zz6#=!
zh^syB4zUPTyzn`N`e)03I=OYKm3PY9BpBK}qP^}`k~aewa$KU(7y;y-#oBS~~+#a!LKJWR6G>%O5#_6$TqD{nXvI`Z(I;=|DBVwNAISxh(+n+tA
z(5y)Rc4r!Yy?D6Ys9%9L|WzY=wzh^2GXfCcI9@
zXEx(#U|=U^clV*WE>wLfZUg}199f@8r678GbLEqUvU2i|NVtW>*ji1yN-a}OVMN)z
z->(p-7D#85$T+Q}ZguF7bnOl~9+y{XsShTrRaW-_m|hx=fYC8Y`WHGNv!YAJWK=8anXkYtlx`&vV)kMb
zR|!MHtlAtKa@x5)_LE{4ZL5tYs_nq(a>*%*^YpI!daesYg`Ik)f{!m-KQ=@o5}PrZ-+<3G^bkKuHp=k#?J02%;j4>T$-`3sZ;uA5SkC#g@fHe91$t
zb#nf~3p5#bzJ64;K)x6-@hxIxIthFxxXvWmc&59iv0yAERjDxQ_N}j6*}3|qf*G&7
zDP5DW!p#Z4FD8Y-U14!1@B5$hm7%liQ_kHPztaRE?v!>W8$)#`pZu9y
z<~y2g>vqZwrk><2Yjo0gg}R*s43tb_`rA0JMi~J}qm0?{PC?TuX^zG)w%r_<+6f{N
z(Qr;-j0_)4Mw(}+O*u17Gfd4s;#k)qg{1Kb;`5a2aSuF>*VTS$=4wg9-hZ9Cf$y)!
z48Fl|nBrxQLOV!~78}jV21m=ncIJ6IW(AJYAwqarl-_7tK#&{
zL@YmMo)wVM;Aw|J7V`zeM_zb7y%k~p%qB_iD@_CjCSrOAzh?K^&J}p1{w+SmCqv}d
zo;H1Mz}Gr|X3LD%Yi48#)E_W!ygMzb&Up$MGYWtwRw#tL(o_1?&j}5e)YFlXT(h=q
zn^86ytX6Xb`g!oe&bkff;qyK!k!-eLmTaRRXghf9W^0(fP$O?^l*jX@-gctjHUkAQ
zgR)WfZTEcRVvu&0@yQl4c59Tl7)v|b8_70-c5fo$&La~80h%Gr&ShZH+z8_4m=Gq%
zV!vqji|YmPTH+;uriY9(Lb3!?Al9PxX%Tk5-0as!;|&3p>r2d}&PBf`Fu(m5Bcm;s
zD3GLxL?giAGL%NrcL4kn&5xKvBUl2xUJ|NbGOxv2&c<6ey^P#?`8SgZ@P(LvbMO~l
zf)+x8lpW)!R=PrF!Xi^KmLP6RN3&{MO(PHwg^o#rr9o*!RgR{A?Wdb)F}UTJQCe~n
zkOy5((Z)a{mTxQ5l5oJCY9~OAR&?yOOlfxn+yJN}P-X`pXrKyFXC*2~NzS<{kj6v>
zO5Qkyx930spv)Cu@}=pj!3>w2fhA|dP9}q$Shk4edx5rD;fRwH3S0pw4P?|At3!LO
zsg|TOO7Glf5+t}hNl!1cJGm77QHhHo00eY08J>_iDDj<7m;{NygEuZZ+OLNxuOHl4
z*6n=VCwd;B#9!H2d9=@@L|ZX%eaYM&LuI+=#`
zX>DGsoF$p*``K;BH=H`WXgaX-hQ6--LkU-A6R#Yt%tD=Cf4h)0`KF)u?d>gB-p|;@RH)i3Q2txif^}BP`pLiFNTP&23VWdg`15TeuLT*gxJ
z@n4T{#O5&XCb?!qPsIbU1o1FD3>!zyvOIO~(v5=vu1rw!;^xWXL&18IGXNyurT=tO
zR>#ZSAeVHNZo#o-HSFoMy{Y`vk(>`0M{k{2XKX)us^xFk4{w<;1L>mMD%*Kvb8r28
zy6IJK86Av8zPHI~?@P@6wz6pfSGP_vgRDPp`_y=;b!<^ry+iFswcn%%4}19sz3X=D
zH&XUK`*h1M!zU5sqZbFB_+{5*9Y58KfUFDoZxqA
zACq3<>lN)+{B*ij8FQy*=h{ENhZ8$_Vtb~tew79ah102-7ksR)`qc#O{fyiz9A1KD
z`k&i&ulv4Jg5AB}vGXv8vO^oH%JEF@j<&!qCePh>^{qXSB(vrNca%O
z?A@#LVOn;5^e%1k=|=vGt-00B)_mIY(|(H=_Rn$nntbIxFcrT(RS>2*>!`6xVS(FCE^9`q#VUA8XyzX%*!3%2?~YnNngbTY7={6sz5@vSr@!w)@ZTSypOnJ>M!hcSW|!|NrHl
zgGo_LWi>@=|E*JUArl=9uO9^~uA2-dzSX?({YX0f|KXlr6k>h+J^kY96Waf{=S!k$
zfRA}@f!$u*^zi?<=Yk=Lw=m)_uAFes!#1)l%8SKSgcDW7Q0wXH
z%)4&4^uQ9ES;r_NOO!sLJdS9pki41uZJCgn0wfg-qV1}Nh4QFZe75pMPyeTnRDoCx
z<+ybuU*IwT4mLS80-ESB0m~2w5b}7}C&WTztqNrz7&6GN+BVw{2P{eY$Q%D8?gy!G
z@#9Nm0@fga)`2CI+v&USd{x!snmBGSpVd2fQ4om6Z7qHLSr6%=L-)Gh`7gYVjDK*X
z%PM0kKg(X5a^%%GI-IA6wf=(~B)afpe7Nln%D{kU=7~E@>%2rJaxCFBw%lIMA(7}q
z$%3@IV)eu^RzPqp+B^W4$<>ikciF{a@P5pbSK!$Jqe*>ZB)1(>4}wzA==wC^yzIP-
zkb#&EV@(eVQGo&W6MY9%*MMBFU@2%(ejmLI?yb$cZ;XoLuSeJpaT&wL
zYe=3SA0N)1MMZjXsiv*P3A~#B+>bo!_ZyrUK8XwAHiCQ};3S~;zgZZ`_33qdcQ>uX8hXLKxbOldK;hmAxDOKc%cP9-2ZuBZ
zV*{@84zS13;u8iz=QJoWoWE*%IoLLxn6B9)V}j#Ek%K3OB{y;cqYtYA;qdMR1F!6$
zZ`Jj%(V1>-=SOv8fwJ2Kh#wC_k*O5#xN$HenIpOIZ-c9hM;T|N~{K=Tca1ul@=7bMXg#U6)=KXC1WxS!Q;
z2LPE)^uUEJdH21CNH>7?Nr%p&&ld+$9VI_I7$RLtX+#p1(BcOGja>_U=KupjzX&%9
z&7L{IYz-(rxqmF@l=u8@xfF!yHWG3!3Vav5c8}$0FqF*4UUo57w}&?dDn%_%W4d;a
z_&6_KnurNvS)#GfW-~wBAfvBJ4lpD2TSTS%*oc1!b1GgeZp-FEUP=REWczqwN*`Nu
zR6kc^Fth;7C{-xQ{p2l_X%+BLXy%p8DY6*Si6msHLgo(5ykiULQ>tN>-_z@T@YFdC
z4A|6GkcD8aV8yL_bMilDobi2k>uO!hvF4iP{k_k#>QNmJ!dz$zINd0k
z>^MMgo8FFh;~y>?LO13#JG>y2N_8vUV{%#kWAY1yuqaq*%;CQDyhM_F)W6?Cpe}5_
z&Tl~kh#}iC1hr4gM#tNLfYk7*5{GnwaU!d)oF~AxX2GI1lUQhL97L{{kjKhZ(h2eB
zP{5PLJzxNwhnv!F_7XVm@*~WZKRne2L_`(X_RB6uj1-gMlvNNgF@MvHKZ_dIKS0d!
z3!m&?GzR9`1U2cm`c%}#MSeoPcQLM-=ENXoLkNLn@DqUHz{)s@2N;I5#EqxpphYDx
z2o4lG;BGigTp%Z@Dj%1Gu%ZWU0EfpaCIzTi+W5o>+1x|HK-8oFPAt_!;`PQNtDn`Q
zJeg*EnF$WUmxu%KH?_gDP_4!?qTw)AX;Ko?1QJ2kLps!^oN#_*ZinUzrj|E?X|kGo
z>)o%*%C!?v&1n%N5)k1h$@#^f3O13VQ%_P~5ZdICTvkZWVgQC3Hsnb}&wQgD8C`p1
zD7-UMvNn3|?JBNZVRYAyd8(qFKa8Zrn#HVh49uq%xzR+_Ut3L1pfU-TH~JgmC}XL*
z3S4y@EAhnXFpW%JDv#{;P|0Abg6|DASYs(9`$3eQ{673MSlO}nSgW#uTAn3RFQIJ_
zqH6kQw1UAxMXZA5&AH|*$*7!<_%&t7R$v-Qd<+Po-*P-Z#b0Qi+15w(Dj9H5IQN)M%T-=cuV2&H#H$d+%yzvU+Hzu0y0Zwh|lxs$UM@vna+k()?>
zTwP4aV}Moo*KxiX%p0FJ^ENoge-z|i)X+Jpbkp!Y1Ns+;Q82!cp7zjBS{Vs^gYd==
zd;bF~#<7^PpEHyP^9tOuHqicJ2k|@Iw|V~ctEz|kG_%}J7fjE}27S%SZ{Bf!6})&O
z=Khod+7+jn%dD#vgSVca-=4=^d)-yx^mO21K!d`gHApr`YY+KD(Hu%qL4~i@h>;&F
zJoY&lq0_f3tiwcdP!7@sxj=5nx6B0;F9>*AWVF1o`-p2y3tM?Ya@SyfR3-<9Tz0T}
z?>h*V%V=4B@5g;(8qPuuzYt-r75q9$2*)^!pupkZU)UOle!j2IRFNcJ;il!t?GgRw
z*}!6yA8QzB%6Hw&yEYAx$3wsNJaJt&W-m4$=qOu$g7Zzsxa|OLAq>aB9rqsOhET#RHej(hHccD_Ejy-&0KOhb
zamUNF;$#jp;6(^v#)=Vx&w-SM%{>UvgaHS_aWM9tD++AvdN4GApp}&mAIl#}!o_dS
z!|FWYd;IP9FrmI#ut3J4FQ@lIMqMKuaM>&L^Em9rWNu-uR`DS2*g+Tr2R~zl+aZRS
z5#Z|~=@>T*G!bsia385~YNl%+e}|hJgJyRc)qsocAAs8!BEUp0WK`xf1()m}egjW9
z{5>hgz&+K#6ubmATZ9IQ!KsuIj3s=u)9yH<=+PkG>2ZE-1MJmC$qW3+y*N0h3AaE-
zKJ<_K$Y-Xl@)MA-yAa@IZt=5jqo73;xE_gOVeXUBEdjvd!;Z=n
zh9SRrR%o&hq)ml&l1`2-S775Xc>+fZdZnxm_seNmxc~7_&{F8_9WJ6IY03=4DhVuL
z#^B)F7Sj%Z{f>)vME}6?a25fMr{6CXA4xi7r34EX9HCI4J4M;3IHsds6=^vjLKJ4j
zMIR92lu~ewhSj=(Wng)j&&tu1C*EMU*wXhpfg+0WcHBC(>dY^l<-F{Bs%K3Vpl1`$
zmhUqM*B_NiqOF_GG9H}ieriw|RCA)+Zt$rAeV``ji!*#FAoxvB&^|;uAfyJ|1=Db*3a}{ZcPDMD%fcp)}5jC!3Gy4;DgucP@1=^lSV86k0-ztjB#4q
zQH?^>%LJUqO_VqXQ%xp=<;#PdG`J2p20=R&?iYk31OAALtJ@*7kZN%}MBY0Utr;qT
zTz*_D0|n0FTtBJE%&u;S$iwwEpEQq^`Q0^yyL1NH6Y?G2w7g&E6T?q41mr9c)HCa1
zmzviz0NBeoQ;pXAW1DvY4!56g5`^Pa?Qzk!TrYWRTf^($X2WAd@Rq|(vrJ6E!Pa{$
zAvPfAzuQ>wQiima(IIt1Q`+8jHK`b}A@wrVqOFLK)(2<;Ljv20v-f6BCHIOA#B@SVCN8#vda9+br&x|QB?{p
zY~wDpntW?_)-11hZ3eB
zWk-uVyViRc*(gXoqFEVcZP%l{6nN$q36b6xHHv+fg{f3Ll0!fytHOOg%D-Lj+NT41
zNM}Tmk$}K8(M0)LMf6PoxX;9FNve@byQFFl6&c-AlW4MfhOx4uE&7s;TT5IJPH
z#Ui9_5E{$y0n3*Li6PSEU2(oe@m*33KwI7IFd=X~&kqd{Un%{l(A*g7N1P7+c#bkVLy`g>Cq*%$BU%Pl?1o*kF``t51tEQyf+P{(nSx%;
z%_k?&ZhImr!7+N>DHZ9P)>0jIh@H
z4zBqWTzbiOR9|}z7V&2u7A&%KEGYl%gE)h0|9)5LzCWf`fZ%mDRJsq@B7r?V1JqTF
zwo_@c5N>=F?n)WBvoQuAJ@FT%2402;V)m(Gm40@)WGi9XufpkzVSkiiTfK16p>D6k
zVTM^Cf&@S;0y+SA3+|@A2s*d19jQMGu7~Y+kWK{LV)?kms4I_x{%ni!6J)N&Yni?6
zg}Du-0`Ncr2d
zFw;qSGP8!^LNJzj>p=JITGOLRiwH@O)?eRYPx4^)LfGq#pk1v~R$U!8fX=%JHE3Kb
zH~|4berw9Gb-4
z5DkJa)EZ$6d~l+51=xRwFxM1O%RadG>9dr$(YF=wh)u>IM84-G9LPg50{vN@sE2MK
zL}4(lF>!>9u=k&kk%zgE5&PSZ0u;ny0U|03b()Dtz&(-$
zJy#@ZHyjy1y%m`tf>iMf4rvZ#Uaqy5fU`C`oz2w{EekmF56=%%kc;>uxvfWY({U&G
z3SnaCv^TtC5z}9T(h@<4;q&p>Gv
zTkMOpsA+@vGN^xK=IqIc5y?_71sR(m5B}!M!O8SVmYn`|J|mtH$SC}5k#3@3ju`kc
z((oLn-g;8HQ_{8vq+;+Fu6(2hN-d7@5Jk+3%W{+UJDd|PKhwqi@ohI-g4b9fXrfjD
z>B_^Sqa9n=*Sy32{Mlx*iil@Ijhsc8uHJUR{7zUcAViRWaVtxNvj83@=sx5ky3+#B
z6v9&l7yk)EuAhR39A1&%1fhqman1Xka+tHpl4X(`JV*p(P=bHgJ<-|?QYC=p7J=JF
zxE#VV)Xi$_W^4LL?`Z(toQ3X`yj|=AISGp`>lXy;&#HH6oz;S4z5+kPz`om&=O~EW
zEC~Lhl%<2NTtpS_;$8rd2q7d5CsO}g{RY(Ku%@xR;5F
zBK+O|VnN`9^LrfbrpQL^e#&4d2w9Kj63r|rU2F6`Vc((#g7T4Yr`imzc%^<
zPwVX6jaAEx{HDCL05ZUxZhkKthe{B`lf_We7~BM73Y`6+rM)-RdQ
ze}VU=V)c13
zQPDroU{Adpm7BZGjI52v4G1FB7MHF1drz2a*We1jom057#Th%{7cYb*c7AKQC7&|V9wC}okHsoVyhfdwS
zR5ed*Iq#@zmlPKfS4~cB$Y2h$M&-Ami$Do)P2N>mn9Z~-SthGmMs*)>Z0!>S26*r1
z*WQkwxbyH*j9KhtZN%5z_top$pcf=pr~%kv8=1O9cZ{K#9ib&1D|(S~ee;`f@N-Kn
z-Zo|ur<;cXI%3W#9RepQG1q0Fz4$ZMll1EQkJ@8zor~E@+Ye-{>_JiPsoD9y?kv}D
z_S*tDPxe+XPuxB&V{ZdOK9)r2=%j`3#`+Nr-VXBcdlF|~SE#J|LzQ+GM&2(`k5Y1v~28bz$kd=_4r!POn74}
z_NBYu1hm29Xdb%ko(e#oy?`)WWvrUVo(rHCoSL@^yr7p4fp1m?9FU?akw)uW1xhai
ztWN~-C#iDxnQV8PZ7|#50FSM@qJ_0!zFxuoRd$I3K%$+F4UhAzk5O9o*b=P%p+Q_S
z58Mi7p)feU=cJKs83Fw@x~Y@r5MMCx
zrByHUshC=9xhCOMs2wZepLE1u-d&$s7|>E^8w$RvL*CW22L)8$h8jjEMx-bLHf|mj
z)ITB)3o=Cyw}`iM(3R0YTQ`{6eEuc9WWD!a>L%LK*lcBCQ|s(mmppIx^nPBofbCSY
zy$@MzajC+6Foqm}Oy=!DLFMw;UAzjnEl!aImUT?0tWkvON&U=Wyv57Y>R;saE$4FG
zWwn%_5l#*P$l-h$XNgco_wdctBJ&OKqIHzjRbGA2w=YRm6MGykl<-WuxPwt3dR^9w
zgR0jq+I5N=mTyFdtd`_kb*&WJHiftFRF%HGj!sBxzwm&3pS0Y|ds)j50d~PC{m$mu
zq4klG2&posL10}PmeBj=vF}+1efP`Hx3v8({R;u~5sP1dH$WCdZsAte8j9y0DR$;%
z>8N1hW^!p2c@|kkPP;isqNGs}V>Yp=+LxsXP?1bG3ISuFCa1BI<;aupkE`8@#U|04
zxVeBiFfRhK!#nZh#t2jfT~>92EmIw*Ccswq%q=Qv^;&K>_}
z917srvO!t*sJp~qxdq@TChn{!u3qrRv{5A@zEWi`j0#jUup|cOhwnoeSuc*5a8~y}
zZwfmOs3XP4PgvW;lKRuF@2*<;g02#?Uc
z&2}BBL#pTVocZW|VsONNS*~A?`CC{lx&@iW`|kTt3h4-*a#xSs!Q1e{0E4S)BRH6X
z|58ZS5s>#987}H0$T4*}ifd8{rM`TD5=u@-0K1rI43nCUAnyyfhes;r`&xW`z!k46SlN^H&Ayw
zZLhIfIhwOkZl@ft<0=%^Wu$yaZm13(`SF)Y>Vj(176qhBbUf~eBrRU`LCBfyB|LNi
zWK;b?*8Tn6RJ*@AZ)!Q$&ukBjFF$g@!;Dc@U^J*tA>n=SZ*ThF=zrWtSXVw`?&1IS
zMf~2V7m)MUE=T1{W|&wbrTf$V{ARJ7&S42bGqACr(veAQJd&Anv9;!u+E0$GWd;$%
z3~x_6H6Y_C^?;4yuBf>y?#3HLYccZZkR6L4ZE-KNzV7-*wW}Y->Q96
zoIN#H>!^=Q;Oe2yil+|
zGhtT$ilovfa3&?nS%=cP3LoKI#BrkNiY*Zix)F+P)^^R*F@@WuU;?iP~s#OBu;C8w@eX7;mv(dU32Fwxl
z06r;W5C_u#^BSUfKZ_^NdG^%n`;3AsXSU33#SKgJBy@M-_b%
zJpS{5IBkMY8Wk$&rrK1RWnVe*xMu05TU^f3OANl>$Txn$l1xm~D^(3Mdco9w;>xg}
zne(Wj=r7x)KKQU;Se)1N7%ZkQ!Qf66YY}1pN_{wJ@3||Pl;=w)M
z(b7%rsO!W-DCgSU^t8YyXOvmc$7nT4yTISBeE#|0Rkuznn}7P&6%4M+)){W`4~?q`0>Zo+C;SJpPR>npD3P$9!a;;eWYWFRfFw-
z9{Fc-^T4&mZ2kkH4qOfwmux)fraDGu#IAiB3EjXHRIeTRQbd1m*1l>7!aaMK%*GCg
z%cCmq+%7pBtGp4q5$fc_!D*^9Z$;y64Cl(*GVh0x!MVujL6X8#@WdA)
zfGk;8oCsXOZUP(!!9{YelMCG)@Q2FuHhzrc#|Y1#`qi#5jdC}^P<6nDV&lI9k^d=b
zmRsLUz@kcuM(%%fwk2%c*uvFmyZ(_qK}lhIRYM%aXV<-pZn`zsSMU)mUY?MB_*sV<
zq?V!Uk(lUpIR*8tsAr*51W7k^nc~X)8D$6ZeRKP01dJb_=a>k|(zCc?>B)CEJ(p^6
zWylI3a4d0y2P)|uxS>hMiA~7YljLw6DX^CATl|&SLP4?^LCDFiXFjh_+BmSUrm=I6
z@Y56cp(5DUlu@44uu8yGq@Xs>PMvE*8!9w*_gpFZz*016Ir)tjAmLI-W|`YLUIdKR
z$NpYXU!DN02{0WO6?fvH28$2??^QS`_pOCv%z**|j(I28bkXH%D_GjsGKeksuA`@w
z0`8wBBE)nqgYjU)Sa>h{*0F|Jy8eWUSelg$Sso&bFJt5_!!X$Q!`
z2gg(xGWLwXK|G60!1Vh=EL*%)%HjXMcC7T}h^C+}QY|+Dta#OT<{JM|Akvh<*)++u
zFW&%P_-3)w`hiXeM(>RjQ^7(kY79CsWyGu><#p$ZOxGolKM-?(t}AQJ?6a7>A1CpWdb(XrFV
zE*c9^xZBZQc}!{noc6c86z1@qHeOIC1TR&GfPmM*b-WGG
zp@KqlXy{JO&?5ZM`UAG~(|De30*KCx<>E9iTD1;Wv>mO^~v7w)O0%?d9yNzR1(Eh
z2OPjnVDl1V&wTnk@0eYZX@xZbv#lj88Rg@t;T7TUpaa%O1o1*0T*FA5okFSZU9lvd
zfADV8E=Q+|?=F?LithN)KPi@xgD}Pv#Kpnr2?>ZSs(e1gwOY)Ri-eYAaUVK^Hv_GP
ztRpKPY6<7g@z!v95{~49-4afgf#W%oID-TLBW9_DKmL(|yuQkvOh@*Vu^r}hyUm^t
z9Z}0_>;ELEyL(CR51yd^=^-o&&=F`F3PZP4KzJ#?KOqhHCaqup1Iwrye07kN=@*mi9{7XK
zu@_vabm+Xlacgq!3`tOD-{ReshD68Q_k7&KDWD
zce+rTcgniG&F9-m7IvY0_3|!ik`G?sCfIrsEkQuXNg)8z;q>B~7d5x#XMWFfb-PV#
z>($1Mb{coYC$-Vtr#n>^Vy-(3_D1rzeT4DwUjB{f=&zir!^n_g$d#*7p*Qa?muDZ!
zf1z*SSN)utg$&$-jN%iNWgvF2M1>1mwZsq?#yL0tF4c#e63d4?No+^1o<|&Fm|5zbgo
zz=Is$WK-o6>OEf1h}t+mX?n*gQZxW@R;RkQJlG3l;K$kY?4v$gps%
z)zl6KS9pDhZH6?3^be3bceAuoY=ufLNG|S;_OFZj60_R|i@vi9^Y_-FyAqzbLwR_A`C&!Dxn(HZ$FgLQ=C@jhWtQW54
zM0moRhuo<(%rqD-rhuPXa`kJG?m1UJsAkrH>$0a1DRcN;{*1bqBC%*C{Q@
z*%FnHd4Z7I{9V1~8n5L!Hvbh8j`4>)p>zWdspWQ46W_K4vVRxS`@W0t@2fU}+TRbA
zhf-8L#Ndw)jWPoPN>eob$%=?+~ZJRT7^nck;~Fm8%l8)jHGMo
zwQT2QIc=_5=9M2(pe-u8kjK=F8XWe4Ya8pC5k+-WDE=^r+4yk+cz&1M@d`jC+QK=X
zFAYJuz1N=Ig$zp`wiAPQAfa0c?otsw4hJ!-=9JBzj{8(ZCaEijnH5|!Nm7JR9;3Z%B~LNQNP(pomzdH3zl-){LEKJV2Xa`+N!
z@2oi0mk@u`vB(IdtqbIX`Aapz)^5C8A>(y^?ovt!)Q669ZaL|<;jNXD`vlChC_dg{c*6o7o>l;WlsLa9zWqK`J|IYb-es&uMXq!P*;$5kav
zhZIOO6h)g)$^&>&gIu#Ij+uzFbACRO^ga~dsn}Y8xFg2^pw4(UySm4)g>BLaCI_^0
zl#bY?B_>b(J+jqBOZ*#V2pM!U-O=ppz&L3DZ1LOR{t?6Dx}cX%9MnFYyIIPF{&msO
zBYMI|2qVUIrO>hXkC&_#eG?Wfy|0#shaw%BY}n-InN0)WH7K@^yL~J8vGQ2;w`W-Dm##a?wW>
zK&x71tV)Ozd#07~H|EtT*xm)kNPdM;`3xU1rT)sMus
zNPsc=?4tieYGxaiss~}*RRL^OA3sP{q}aq?$RQ^-NT#c->5YU#_3wg%Vn@=F4rgEV
zsU|1$yE8xjFk2Yh_wK&O!H4yDVDAIxUc3Hr!Ds+J^#F
zTirxydNl7agZ2qlsCvLg>Fh&2@3YpIF8~hXv|D+qQJ(T!<`Oxwt(Ql|pFaJzmn@E*
z;Piucf10pPow*j=qVK<4=d1W6&?XO2ZXNJArQm6!c(O13!8QChG0NS$w#IlR!&>o2
zTUu}Mfl@Kyv-$C|T>qu|ZHn;rzEG8MwOj%lWlUGKWCyQ22}$Ey#%b(rvAjv@BQ(|T
z=&PkpVbuALC)LufSrQ2e6Y^fBUBP;j$J4J9%hYEGQoJNTxBp@I1yS!L1?U|0Oed}L
zqSGTTmQAWBYdnROW4s;pPlZHY!l~mTSE{z?_1D7`H@U@+f`c3nHQa*=lLe+&R{A&K$hc4R+gdger{87!MiTQP6R)`e(WE!!KK2FHL>&$i{}x#xd2Pny*2;=
zOasEaE$O7h+a=gvvjWrqr9}0;XWjA?cdXnM7XwljC$%m0mRLh8LkyAgqo{c(9V!{N
zyrp@hxXdTMR{rA_{kvV0w~yW)Ei~JV=_SGmg*H&SVisvdM|ifkEN^=3nZh*ne03Q4
z@M`A!uwDCwUY;0kt^!?A-(2af;%5ri%{8&F
zg)-3yILtqNk3LqPr=2DEQdD&F4|sN05T(}%;OHDLGqh6I;&-F2E+zsf2n?#QyPqv*TL>&I}XR&C^;HYvfN&9{{r4d+s-jU{;+v{Kev@-?|%$
z=@;;rf{=m4TexxC6@}jr(SNnwf}1v64u;6>+R`$n+$|>B)3>`Hwj`Mq?WRzOT8p+A;}
ze_K&^)PJ{YL$UggMO>t1SIM3~mD3~;TE~3im@KiJy4EL%wYh*l%YT8)|86pOEQ{!R
zd0M@i0>eFsKT%Ys=6)Dps`#$&-Fr>XpcQ&M4|hqqT{sb_0lreBtc&j=g=u^n#F;Oz
zswpgCKB*{_Zt7?$0OuXfQ3axQ-!I)&m}eU9c{=$v(JY-~b6gc|YC$TWO00=4Hrx?MCTdQ3(+vyNKqF~l;TP)1*k
z^@|kZ%yFYa1D90Kqn19*nB@vwJy#zPLwvsNb(U4*>K$TP16UXdJqmG;WK}0K$4*t@
z!`%bvGx9$gl!t{JY5kEG)6jc4#E-tN1l}S&CIX+Ncyd97kfnz%M@0$;e(?8LfFWRaExMZ@}tpnHU?3=!X3!2hYuVl@(ICwe6=L+
zY~!r+y^N67j3#X!Z3!Eb3s&jH2T6a@4&Mv-)1q!X!g4etC!DRUr+_eGmUi}k(p;RU
zmj&9anE&3Y`QF@;}0YZI@;YXs&V_X(=L`v%(o6|jl2M<(rHm4$}tm2^f-`yKQ
z34}mA)XL(m0|Gc$&qHcb$AYk9DQLG&Qw38^AO(cW>C{pyx8gYq;{G}$atA&BQ4X@2
z&?JJd@LqWfFw`-us1Qtvp_V}g5y=u!u
z9wiyen(wBv0mtoi=+O6G4V(@
zzLgg-t{$9N6O<_&-*u7r@d8^8|p=RJ;4|Z!@v8cAbdJ8d7iLoJ2e>A3O=|)vOjVm*u
z#6gA^Z<|NrxFn?(%7_03S+&`!03-f#uLpA9hRFNOBXFjla7>-g@Mb&*FUL_%WGPeU99$tlV2bC06W)fKriDJ?6DkJ5L!e{7%O4
z(a*P>_RHmBCJn=z5H-)akIv724fotZ6>d_uDC|zapN^4_Uz<_xowo(ng!$h<5LN7<
z8ngfA1n7@M#SsE+k2I3~EbaQ2Y*df+W=1jQ{T;UAi6J*dsk*^^o;cb(Rpq5-RXF|R
zsE%F^IzMAg5HAhm2E$PH&b5zu8@*U*|G9x{Jt_jY7Y2w~vf%oBZL$>0EBtiU%;MjE
z0#)ALN!frqjrGOGV=Vvx{Wk1az?CG(=@gIL)cb-xHZ*tH_hPC!2H5(j-Y4b@{R6)+B`<3Ww4K;UZta&g4>+ZMiTW^p7b`q;clnC^#8Aro>~7`f*Da=%$%r
zN|iylrlr~lH!w#R
z)yL?C5=}Fl%cDBD?V-7;R;#$<7laFZIV;-0rF!sT4Isr^W!g>8=B9y}hPxO9)sesa
zjbe5Tf8CPXC8Q`zJPtb2lte*Z89RIfSjs7jM$q#Uah-cQfonCtF-x1S2d%n;gd&M%8Y6GxfOYd=qhgX
z>ZO^Z0VT=d2?UVHOegV8l4@m!jK1gS?KTja3_4-S3VO`qf<#)tS#>;5@6cEb@~)6V
zkROSmElhC9dfe#89U>1A)ZOwZRg=#;e9v1sk*7p^rEkntAU}2&CFfJA~OT`b#jsSN4pQQxRVoRTW4l>yXsiJ)|z;C0o8cEXGnbv!aN
z^5x%jw+kN2)Im3OjnN}+wZnDNkpd|XKB79ajvRVyejEHg!_#CT!G<<&E_xL|ajxVL
zSm6)w#zWwaUFqrK!5_%$OJTZXH+=krVmRncd-CIBtd&bAW7`^C94DkS6OHgu<-R8U
z_ookZ!fE|zb74tP;yIHAn#CU?>Oswp43NGISaFiN%`z&=W^)w3#?mNzlm`|q^IIyx
z6qVcsb-t%EWftFASgy559jrQfQQ1{UeViFX9~wg*mxnqz!57
z-KnzWiU(Kodk#VM?s2;_ShhN2TAhWlX?H3MS1WlerK8eW^LWmbreUfubm;M`98kk$
zn!)1yf8S0nA>V5QbMqBE(jruvPEjpwGR8w8LodhT{oy%-56r<#WxSi4(nB>0=+0lH8>MSr
zk{wXX)sv-yyxK7m7W{r;MV`V60M1hJ=hX1*KQiIhQ(5{@j-65=&BHw>a6&!r{n1(d
z+XkP!R>Q7mB2kCfs&`Iauf$4?>}VG#$aUhzLUczAR35*eJaM{^*#6*jrdK0Klajc0
zwRNC7YBX3+jgpBoMkn!yW@nup#h=uR=npmFw*!I)gHF5s_&N47pS@9=au
zf3+kJo`&36OmO#)9|ch?Z$24&OWf_b2~{O81+8)og#qW*rYRCn4dIs89ecbSj8|!H
z>NNA6D^OH{uhL3BO?om5nE1M$VX!dfH%HBRTRqa%vEJ`7TgQU`Kx(eKA*WftX`ng}
zXuZ|l1cNnN7E3wfo;;t$Qf^`uJj*9>zcWFZS{DEGcc>U4_STNd{Q<5KL1>N9@i(wD
zt~9$dh{@HDRIJC*xBz_cs17mdpmeXZc*-vZQGI6aGdoE)_rV-S%TXl7%
z4HoyI+Iuvj)=fHnbnb)3Nl-Ptz<%3K^bshPKB|5VwAm5h?%-x-Y)(s|W`ta7ns}qy
z@%Pms@MJ2`!F?Ryrh5v*seS8kP;XvZ@6k^ztnZ3G&J7(G!o0@9231
zmraDE(vT+UdKXpBXS1VO+N(0|gL+$TtT*x3t|XdiJXt@r;THDmtmfyg=E14>bxT5Q
zK_A?T7<*e=)k?=?iePA^t2;%sx6<33)bX;?|Cy(~En7diJIc4);9z$&?W|#bx2JPA
zsjA!Pyp?hDms8cFIv=}?Z|r-SWo0_kt!6V(cE8*BAjoUU%ECv3^wo;|aJ%*3KC)_$
zWz83|30FpYKj{g|z`DoitGrFKmF3PJ+gNM6`z!b-dAjV
z26}yN*!bS+^_{Wtd(!Lo%4WyA-W{K9cK+<$xoP8%=<}De4N&b1(6$XU>xSFzx-gqkZ8gZ6m7sBF@`JHuptdv5gw&i@ISO
zeXB2e#x~|jU(74pUGMsKeYTDL*%!NM%Ruxq9`{T6j;tl)bE$kBP`x78>3eE?j
zmE012enk1(B}E;GQrcwgj_r33K9Ia0nw7*S{ZI{Y{rZwB85A>(su*A&h-3j#<`cWU<1jr67;vWU^`hzG<;-Oc(h?!S^q3BGAj@K6|HA|J6bR5b?nH4n
zva#Q1PcxUW92+546l(U~0r!?M%QlXq=~!-sJM3#OAeq-2hq+B?$aXbJixwjK$^RT`qJQl2sZZv
zL}Kz)rML-Z0Yn56=B8PQz+@?AMg%5NitU+H5wqlp0~P=
zp8Dx#T0g?2jztweDj*_M
z^thhn>e-(l;VnnqN{H)}W1T&vq31xg;i!G^81WkWtPdDi<2VmG+A+pm8SYIt4pcV-
zHgrH%+VuwkS``m#uK;$Hkkcow7VRIRk|?BUwx0N~_S!$L1jp_KPSq6vG=HeN;y`f}
zMPpG!1VpD^xn2GV(rp~lP5f1F&n$L7l41=MnTS9*KsMMBAhXX~Y;uQRfpmo+IG&Pm
zei+gwB7Os5R&%R*DB5BXQ6z#C|2o<8qoQb|=*HlnE(P)pRH7?QF#+Itsa0xt_f{r^
z#GUj3AT&{)h4h&@a*_$I-U^UKP?{8R;c$2O0D4*ktptE#CT5xfUp*2I0pP^|TtLYj
zra+lYjMBf@6cPH{sO>!g`OUc{{pr%C}?dv1I0eGY6z*b=P)wM_3U^u{h*b4Bz
z{+JvFI46$b=A8kXjjReL#(5A;aG5_T!VVtW+vEJq+Tq0&7tZTrnIDg#g)R?%vM|M>
zS3iGXX~065%ZuN@ax6fTTPx`t0M_zw)hWEPeeSUnpXJqB`$cG~%?>WbxKI|749h*L$wpLQ0F|bYARI0Nd2|~)AVYk!X1mz-rIN02WqXRt!MwFmU&J4KD=kYeXLvFPBj90f9v{m
zOQAK8a-qcGKIJtIn9HJ<*u9(zn)LuldqurMI$1Uai}hYN{Q6;fh@Qp$y-(bIV4G49i@Mo+Fa;z9J8{TFA>8>`J{$!F)4
z)R=+@usgj*cg~r{nAaNpb-}OJ|KMfrhu+pFdDH^CYpFS@V`|1Dmt%el((hN>B!qI)
z6^)`VJGDNxeOhMn{Kk&){^&F@4^y)H)ZvMPezJ`Ikn=g1j@qcyel
zp`5$*)+=|fUj2TuQFV(2^6k*i&x_+lo7y}7`~2XO^hWdIxshXEOeHV2CSD1Bz3;-T
zw83FUd*9}H`}X{oC!i`)V#A4F08|k-+_nG`SZ~czJ_WB2^E`AQ?2cN55(~Rc%Ifc@{1d+afV=(ut4){f
z<;?4!|GQ*;7o|U?TM8>h>6K3KTq~VMcbeY)QAqc^7m`*n1uks9OUmyeiZ
zza|tlWP6?RLM|KoS03sJ|2_71d%{V`%3^{$N>I6`+k5ND;Qo?Xji<}PaT(ol71;Jub#yLiRgE5FtoVqilg2<2t^lmXHHxE_0t;p
zuT|r=?Cp{W`#X%EQxHqd5PAyq>1Y7_L0{sf56N$+^6O5)#`$X>k96qHyN6Dl55ANZ
zyA4H^Zvn>G-?F4kC<O$viM>!SRU~;M*Op7nH{s
zKWopb-ma`5r(YL+mv3|RG;JSPd2Z2Ti?^C_(7z>_EjjhtMh&#rmsU=lJafUDdWOD>
z9dKr7O9D+R$*mx`)W~zH>7dZDOp2TU=H`=dY$03A!P@=$P#oE9pC2bt;Y8qqAb);P
z{?H!D|HIaKeKobk?Rup*N==|zf&R1HN%MNNfJr3-=*n$lE2
zR8-Ui0YOm#Q9#iRhzPbF6cyX%*-=K-cnps|~%Tv0DamwY35WLHPRT
z?oYj(hvRfcD*f~dQqO9KymF^1c=&>apzxMGSW`H1TNI6On|Xdm4c$Lfj$T*UH?nGSN<*%+cIteCG4QzL62U-GcrJC@AD^O>5}p
zt-FwLg$k1M2((TJ)$^Z6d(7cep2W_~gNhO9)BQ@d0HBK%Bda1_G6EKM)c9uTQiU{?
z8=YL9eQzlsplN|f-VzVbhTHXZEVYLDth3|WW~};UYyp;@rWpC@?B&x#KY5!!e(!}G
zq4El(d%SaNJ0X>Gl($v)b7D()>k3K$i`7Kzt~`4`ee*~;GC=jeL9~r60Ny_b(zEr7
zRG%%z3VuMy%hzGx8)*R%>TZqaRSjIgBfLhN=&N|O4X3GZBRI0hgk~559WXbI*-zq2
z&+rHjB>3+aPplSp9u?FJasrJ(gI)TbAJMK|=qt6;usG?sBwx=R
zlM)6G%XqC@29zYgOps7aNUsmk0+dm4^@Hkcu_1R79UO$912{%1k%x-dl3iE-TW<&zGPs
z-yfV#I-BNY1mD_N34h|>c$P=N2g!#`gBy(*)dUIqdx&RBuO_^DdJc88Ya9xgPXkNDXmt@w;kzIs
zVp(T*4BOAuL4NTtmQ}pJ`p)UYx1HPtO5I~~ryMpPGv|H!65Syu>g0Q}z)FpHx>^jO
z*k8O^}D?vm+@%nV0Ilf`kF*#?b1S
z=!;U#HUkbT$=ZnB|9jG#aPVLx)nfUO0to<6!BW~E3p~#1yI`;W?Z{A%t}h9D5kRXi
zbFVW|dpiLDE7L$hQ}tnagTXUaj9!lC)_$6IW`>Hd;j;_{YZ5l6n01^2F^+Pkmc~Au
z@b2D6aO`DYB%#6LqmWeS-_t(d6l09=4!z%84W^a4(la&0(vxWpz(m@PA;46qbuiBB
z(B?)8>OwIJz#f5b%xC|A10I4TuQWb(lTYRa%XPmfPaFzNKK{8rN3JS)k;-3*MndL6
zF%m|)2;xt%0T@Vt1$zk259)+I4mf;jLOE1*`~LgKG2;kZ7AW#MP9-L~b3hjzllQ)Y
zcyxkz@DOn}4m*G0WS7(}?`v-uS4e*AdT?3Ulb%dn%c*No91O-?EyKcCIq^#&kH|h8
z=go*~y2WrHh;a(r1vMV`sJK^vT{ZY_5r@jRfo!~PCXvT9a+oYvY4z|>euU6hQ=WVg(&n;h+*y_vwLOy;0oDjxSATy
zIt1y8g|hZlM5%3=cFV(o5VK3CqN^(tZ&W7d62pzLmsD^CP(bs|v6LgHnP9~EX;=UY
zw%aNvQ?1JL%N`|PL>v$qVpx?oVj=CY`vVC7Ip_Ru-uWTbRo&_hOz2nD7-C>{<hevhIfWM*{w)V7Edq}B2(yi3j}nAZ`g5vo=@g4_|k7Egy?No
zvNfE_B|L-)A3g)aIzcXTro$nTf`;qa3C5SG7gSOO
zk5LL~{W8*`a}Nb`wG%TyIUU4m4DolZVIW%Y=~8#p%s`vny64qrO&(iJZdKDybrIKY
zDA*>#{DeH^dFL7m_7)R;m5CuAHtyws6|>J={dwHkU0X%TdBCtdG1tU2wmh+-
z>%)y2zOZZ&3Uwj-sxX@^gluoaGNa(@)9pVD+t+MLHv2Vi3@0QUxoD!G19Y}YD=$>+
z33U{Xfjx1EfUTR889)OT6o(5
z!MHYP7ZVhQrC@*qB&^&)tdt7iL%AYHgn3Ayfuyzo3T)dj+3VqzJquSfsjbGi+Kbs&
z9inq@Vh~+Dva7J$@7ozz=&8z*Xp?K<-APBj)oh9zwnTr@AM(^UB3Tum}oNn}F~vKF8VCyMx_s+jh~j9)@ksF2IAY
zUgHAAZtBLcBXAvw@5#V1X!;!d&tT+M07yS_QpLA{ymWQ;*O4{%=H@U$b*6&$d*8Tr
zg(J@s{~Lr%e-KEWC?W1QVDqPMY@C5bj6wFy!F>>bHlwW2JwS21XNL_smVkSRX?gU)
zBq8H~*^-h}9L9)>fsjMIEw4bt&?TwO@C7)Q(HY2uURA+pmF)8)SY^~W+uv+i3%h%#
z;ihNFwPRr?{W`g!BshA$ed`%mqzIxd<%75RvDOv9vnSa5X5Zp^ij
zd~u{zJn6I#Wjs-B<)Sg01gy
z{CH30cSuqRwBXFee-FZLtJg9lP#zNS&OrdIx>p{gKq16Z$P1ZEEM7uDOD=(ZVd^1C
za>QE#0A0|_4cvICU6#}J5OSgHOCQhrE^c34;1AUylkPK77+A@^Uq8aY^{2X;QKVa!
zwRU1ph+us;u^MwF!YEYy8JKE;&$)!{NqMnno9nA+oZYzFnwDww!@U}yo)~Vv6rTqO
zQMxsK!anRZ0;jeERl_`Y1_fx(V7K*xU>b3>Fc^F1!>gl8w(o|8d;%#kU|vQ^+oMi%
z(8pDORJ)`^EujyJgXxc+sUe-F5c1Paaj7}CrFFe)zv~soUEdwL*mbkayW!!ZO}Z=L
zxUwbn7l~s>Tr#}7`s(|jzCc1H2Jzz~b~YZ$Bq0vng3q+_7yvAsGTe4-$Y*VAQ@veS
zPS^UzduqWIy1(`Vr9@n7`j?YA#p`Ywi+-01#|WiYzX*CAOf6!z_X79sya
zAC@U90k2-wd^7Q;o(hfglrb9*bi1bT_u*&X+q5Lu?zKI>Nv9OMhHE9@JtXuw$*wv8
zd7|$b%j4#24??MCL|lzgnILiXxXxuzRAsHOS~)BysKWVE+d{YF~fKPwo80gD+
zF-M$xO@8<@WhC?Hw7h5Cw;Equ^>yZK$*>vwX#FfBPivI>i2fL8-xE*n_H(zdt0
zFTvaJ%ko`svrdfu^9p98`3^jP|HPdYG;Uc^vM=HB-4N2fl)uv@S}>bG<1lhx_@&n;
z7|7r;*o$&!w{2KH0jB?O<)-;^Z~mIrzhBQ_aTi)@vK%-?zZy
zV2v@OwoBNsOW3VrC@|<9IQ8H6yO++IVI?5gKIZv_v)z){U*|M9=t`r?~S@
z$LISv9Z5{`TSzM0*z`3)XMR5uvK6?dAbz4-wE|9EQUB))n!3DjEBwv|<_qC+c$XaT
z+Wj9G2w6pusdd2m61t)Pexd(^jiA6ZI$;Z1^SIB@{Zg_XbEUBpw)O#Gr~SaW?%R>y
zupj`cL4xIbe?`^RuI@zgm~a;d?DZ%VN;N!mus8U_Bp6
zNk$^a2b0Xp-+rmX0tn}HExz2@iHMbevCYV%Pq1=f>y;<5K@v#%95fdA;=QpJJ9gpd
zj-L*!PqR^&S?15S9oQQm5?x6!k0I}!kknu8r
zDiEak{}LPg7Trn>yw1_9{oZ<1nr)3E24g*lIXtwBZ_GIH3Wtfk303!BW;8e#YCE4%
zGElMw=zGh-bNSRj=_R-C{}LM_ZlCzuR;D-L^}>qnTod>y^jgZ5?Flcs9vA{mv#$qh
zg8tooEnVh?3`hSw)yo0nt2P?68Z%U=b+TzB^+ia2@?(epB{uZ**mfJcUBT>|X!fc*
zq^9;Q@%hDw9RK6E2B)se8!2VxXLII_2G>Xi#hUUt^+O|PUfF=FKKTpn4
zIXb4vE4KKGqYXm+#6Q@Ja_Ng6{RN)Txl%Bwca%sF73;bK{hjlCZT~1Ri?SrWiqJ8s
zEpg?heP!&l@C9@4=)5)>R^`HpjWWP8GN+0&AwtTK9t#$-WgSw%P(#yk2tY1ka4j|M
zCYcsGa*jP44=q%cNAfINdY6@aWc(BX&!XYsJW_*gBMgX7<)93=pr91?U!<=NCZh^(Q
zXqbI
zmu|iZtPtO-QD@YH)X}`}mI|bu$g-RlmbWgXvu@E7hWQ>69;qH8s_zjW6;ORpa#QNA;21d$`~6Z8frwscj}T~4jOGZg!>X0
z&!RkaFki3HDmCBlz_=-SFw$qon$}f+`
z;;j64vf|$j=J)s-5HsA>tSxWf(j243Xf_5d+Pap;eu#+Duha7J({otzjjskxg#L-g
zE(*qtUg(VwAT0_`M^UcG#e8k8don&iK2{i?udIz?Q38?WL==MouTopeV3sg7-A%%D
zJ%(%#C`DH1@spozD;V8Zu~}SYwk_>iXg75C!c))m-Kgz*UpJSmZKw~6!j1TEmN)6$
zq`POH|5*|o*K!7UueQ%>pkBAOOpkJ}Iqb#I&N~hd6~lrRfdOZi2KRZHKsRlrn*eN+
zpPvgXdXenhFkIsQ@zAP*1~H`6`*!Ekvl=&5K3bKJre-%anpAIc{NX3_{$e}f76Gc^
z9jsIZTt;~T($H0KF=5@;f&P2hwIAZ0hIWflk{xlj&?U&tIX6!E8PY>$cBt(?psxry
z<-3%t_FFkNB36oY*iATR=WdNjd-xb5-N(r%HwA_~Fm|0#pFH&3yG8ECb5m>Z0i6HYkfe2eRTxh+$WpETJ&=2d>z)%If7YBo>czcC8_VaAr
zy`FVIr}=h?FhXnFJ=;f37A9YCNfYaTq*dpztQarO2jM(OcQ_AW%sqbroB;MCULj1(xV7eC?=<1b1~qs%AXa
zh*G~NqJ^f?M%kpzyzlkE%uR9f{iJgq?vO@73*B*pV~ey{DunrNag%%CakVf=Uqd_E
zZENE>pF(NeR080nfY;F0=-qc1scaCo*<6a4NMzir$*sAw*=Pm*RKZDeiIhVg6)O%1
zvTFj#O-(%|{l_oj79Q++Jjiw~3m9tQM7JP*8BD3(F&Ync6!KMyt_crLkpD(?-~>78$Dww{yapiU4Tx9H0UGxGpaO5VOMO00yM`&jf_Yy(MFod06cW
z1rbGvG0B5tE~{~e!-L|JS7lH~FPpyE7{|`?Z{Pd$@93@4FaSKdC;mFZ0k|;t-D{#@_EQsbm6wquKc2AYJ($?X7vin(x@^%M#ro>5mOP6xjPxS|X1HEwyrYrSV
zQ%(mzpZ*!6D>?O%)JuO6jSA4s=d2NAeI-<-CU2hY*t+hPh*Gr8>(on!H35xY>Xdm5
zoXld&)+pY4^*LLpvSTTEb85>=j3B)eYc{W)`tozJ-r8%ecc0bf=bd?bGMXC~ja5@2B+yt@k5z)}K7sNI0m`YSqKC?Bf74#Do@)0H8R>I%Yub{VLZ;?m%|#
zFrBcgzV_r@=5f8gMWb=&on>lQUNF0P%RRCd{Turg{_9p>fv<3WbAJC8tc$n%e{@@u
z?av6A2IH^wLPLU2d(Bzxz+37AEK`rt;=CG{(B3{#v(Z!JDkc}TynUim*@RINs%BVP
z3^qGZ3GBqe*52ClCIU|^)X!-0NiQ|QkTTl5D<1?
zHN9H6_O=)?h?Nuu$%*2a4|DW!$g1Ur`3Ypq2SN0EO3pB)+{lQ#Oe@2J^|0X5D%Px!
zvdQV<=l3Re+Z;FeSL(%2WpF&j3%!CTzfFNLaQK{F5Wdu~>fW_3u@+4MMdnKn&A@Q~
zspYDF(RusY^h`dqn!7t)tYUF&ou+(ILDlkwex!ntu5Xt0Uyk-6M$vwnDC4MlP9`WP
zvr@fJFw)B_D7Ig~6nz%uF1!(ZgbX_W+L~F7Pt9v9EpB&r$kQSTw)D_zODI>{N^DAR
z&(w5p;N@Q5LUv)ca{<{DCh`wiK*6cZ`-%}a&**FNtvYFq1dW<9^P7rjX}l=*Bl;`D
zb$So#E*B;9ut3*NRabnixXNXyU8g_-@x*P>G!>ZGLUt+Pd7-o!q25_Lc`yKEPF~&n
zXZuD0Q4sGh6NtKBzV2EmQ8rOO%K>W41)SV!@OI&jQxZAPmlYbB_Bboe!m9h(Y5C87
zBM;GcRL1Y%wQKt77x90$-QS#R&IIQ}01u%P(5aKMb_QXuzCY%!E=~AkUiyUPo-40~e07_
zB#6zQowM_Da4m2v=&!vU(I@07IWzlY7SajT9fQ%v$Qp(RkhzmPXLTS}sc^E@i(}Fx
z*?9@;x$>e|k2^4<*WFATZ6w*RYZMhFn6|pvlY$3|;&(K^+{EpKIxx6Gf47YaW;umi
z|D@mXvsz8mTFc9o2f2xlcP5&YQM?8w^`6A$PsP?v_o?cUz`E<~fiM+k0`xB7@kcA<
z53&Vg*pu7B)eD9gGdNYq$3kX5ygz@kX=Gdp{dW|drH49~R2YEKK8%CNMgb@$&~7Af
zr0@ne`xFT{R@1;X3DkoCr7@t+5~#h9`-;YC8?YJiN7;rrx2y9gRUDgO3NAus!$0rc
zBId1T@o?&Bz)!H*vL(5g+rQ$8W#%Smbo@&
zY58Ze+{}(R{7@5{;<;TDT)R%LBR*FP4Z#@!OcTMOm#htK0@pXnhTF>?@7>uTHPE-f
zBJnW!InaWif<@`DNdShLahd^vJWK;`6>)l3}mDD
zP{`z7e#x@<%C?jkQVgD5%JiZdXd6~Rwunptx7%UvqK23CHUwVqB1300&Ib>pjd7(f
z#ZYwar#~ty4a}Wm8ZX^f<
zV5w$7`k&Yu*c&!(4#$qysCGiO8a>}ItE%B@1{{4hEhMQWlFtn!acwCa^D!`m;=eUM
z$RW7WPAS-B5Xyz|cg4eedU?`z{do{;|8Fmlb)MO>dfDu>Fd*+CvJ4Rg$Ya_2f7`sr
zD3mutwq$OHYNAxWK>Zt_nA^NC5znp{WWXw0uX!po;#DZU=r%x;gc{P`G7byM&F9*R
zAPxiw{UG?;y0o@<>%bIOsZ?t6pJUUFDhOiAQ_1+eokd1v?r!A(g31EP25DGTNtuT2
z`~7Nz6Aan>9(+tzNox#b8wSyrKvWv$e0n+9@5mXMvf%=-z99dfUYWZDD4hY_Nl=&x
zFc?&N^H*!pZ&hZWh_7}0=C_E_t&pwoX`nS<7&%P!#-N!{pcMw}Ai3L%pdJ)xfXkvh
z{Edssf_Xd_FH^-~71fA@<_xYD-fv4h2o=S#orC(ofhYp0=qLC}4|u*x!>btPE#Z;@
zo=gDLX+QGMQ5|E6UGUOUp)L1dgnQx<2QrqeGR;jt!Iot~R1)Fg{<#_&g$aFN!+0oq
zi6>o6JV}cIm*RA70p0ZrUq8f=&nwy*KS9#^NKzUc6Kp>Xp{IZ>vF;o7@pYt5u+22|
zcNc&AEyl53P>cc3P{P`@zKIpH$UZcyWu*ER#KTAPb-u|5Y~{!mQ1mZ%G3n%IhEVTJ9fYU0Ty;s
zh}q79$~n(CGC5)Amt`9j$t-AGC(N;vdm=#)FvOtrvQ2_HWF$0(S;jBs7_hMIcM?C!
za=*LtBJCj4FgGJf&07!8
zo#Qaec0yR+OYIlbKYl!mCb@0ZCqVCM&n`clEw#-zyJvvT+h1>c-RGH(q8bbpS1H1~W9#7@B7ajl@p
zjeFf1>Sc@ZoXZXyhU{5JCe8|4nL^zgU@1<-FABcDw@3d{+wvU{ux*^xZ>hgCPeTPP-5cMI3_jL5``oT;ibMf-7C{oL?{T!a+h1NGNe=2WxVF>0$YNw*r%WQMEYqj&
z035Qd>ISDX4gmNYRQwaeX`bc#sZqarssGED0y1Pko)6}o{0sd(4kjwD9kd8&v?MDz
zKyHF=oBa3@wj%Nz<8Ea@9#$!)-2TE7Kx8KTGEala2az7@@pmhP>HF-J7rrNbg~j0c
z#so!Q=P+Zu(VP)<`q`Qa?WZu{Nc`CVvS`Xez-3JHs_)21eF_oHkX!64)%&^DRdsuV
zaP%jFwvMeIpTLLnqGL@L;yo3D1+M)YT9a`rA{9sewVUx1opg%;NG{sCEll`i?A-3Y(
zS%-cgH}Vv@Hc^nz!7J9wemn6zM<@5b>aCh|1RVAPpWIM+;G*U+V`<){)
zjXHRD_Q`9+Cs%PhSi=os7gePl#VM_WI1X!AXti5UE4|W21!$)nYy4`28k=5}FAfVp@DHVhL|A`I7x@K*u_$3(@2?rag)`PQ}sX(nQaZi~Hu*EyBG~sKv
zY=1D&qvnKvTi}sXL)h#GWhv--0Ey#ZtEHB59jUvA4rU3INs)JA)sn8w5BDTa{a<2(
zhVOa0+u`^3s7FnS8D)wMHD~=)`awbz%W5M*)y^3PpriKy=YVzfZ*e2lmO+5#yo~VS
zE3uy_qa^8<)%(e|peyI_ISrRX<;W{kw_(GxcW^$xKvY|PO<
z=4iR+t^*NXWd@_;q-c?8pRUTMcM})ymsuS6FDpqu0q~>-Kb&$3#iaj!RET}|At&vG
ztl2L{r4g`>b5{Crk*Z1C29nA(c$wV~3BD8}j33F&(au&&>?P)?UG<%CilCEStUil#
z#&WN{jjMACDsReGPgyf8w|WGKhGRbt8S{D`ZWJ6pB8UJQl6UhY!*HIl&taj_
z&icD^0z!`%R3;LUxO~G0aFOu_Fh)iadDHKvoT$Hi?^_IkI&)JSnBpOgnD|ZEX9Kg?
z3K9Ftvm5#Qu)Z8QZmyetMabrxMvaBECKr69Cpl+R&um(Wg@Jj-$fj#%i!P^;^FIv>
z^Gd*gWwVk&ub-dFs-x$zC6drA@=&r?DqVvvRh=n5
z)BcUU)9$${y5D3pWB_b7Q;|r@|M7H
z7sk7X{49RUGS
z7=i{*7I+r#qB$po>*BEbzRR+}_p8_$w|AB?oivoZ(LJ>yr~$-j*nM)YZ`F({e_b+Q
zym$p0+PiR=p~2HSGgrY^8gv;w*5EX7T|+QRQLH0Dt+YR4N2`19kfJ>oJ(pmkW5665TreZcSjArfA{oq?$p9j?T93RYni{%)pHli<_V$=W*poFo(Gm+r{s*-#wvZW
zgJF~EjUxdtEF8olYL{Nz>C#np6z?QMTyV}AZ9o~ds&=zn;Z2$Q8eI(Dh%)ec>{onj
zqXepj1OcJKNor%1v|H8%w|3|^sllQRKUJRR#k^PQMkxY45^F$z14BHz4Dw(cp1h$T
zOQ$AjkRS4)W`t-t7M|zsNEVpM=qkQ;0u!KY9;pw6Js{z3#z`3yeo)txDB9Ff@nB(c
z{ly<@T$Miesc{uX79tO<<1(Kgwmc{oRs|*$Q-oG6?<Bi6U8DiqDvAOvclR2_Ney3RDwL#zS+<8#H+zDFa
z9@#6{z!T|Qhs?IFw1qpirAjyCe-2o1R#9Hi0>up=_@0_!jWlq}mu~HC~^TZ8z#IcD~79f^G|bD>TuK#
z7{P!|d3e2*u-^LGOM~pu9`-g+{)SuB+#ehE3ihD&(JNz7F!2ZX|tTF`Kp)Ih`jMCf~|9w0T~t^V+QNB{v{B%Bl0NORm8lu>Qx;;*4(>
zS2vG4%SQErfbHMARC=NyKqpn5m8SY>+Ednz1=-Ng{~U58D=;~preFIgkQa+5ZZc@4
zo8MWj|J^1Vi2W>og2dDN1IQ$GAn()=HMLH(pZoEdqjh2$&0Dm)LEkt!^kO>Orm6PY
z-&=0d(U$BWGd-}4_CRBafDHR{gh+99(+*$t36KYUJaIAz&umi2+7+7%7XK4_~zX2|DL<7puW{lVaEX51(=f#wX3U5dZ^gSsBE)5
zVxCF{mUvrG=+sM{=xrv7ZqkPT-C>a>JAP%Icey5LtN`yl04h8%2O*e7W5NLd-$Ru4
zuEBZP_BFo%3Qd7g`gG2MXTGSj{nr)x=!Bk&I!D4)SrQ^V0f?#y`;@R&n(OPvQKvO!GCh~N#9IPFbfCp(9
zK_i$s{A9#(FlYcL4GZbu3*falw}jZ)#ByG-yUME>8cE6N!Xg!u3>x{%!rM}DX3*hO
zNO?VkM%n29G>mR%v6cG<>Y>_lR|&r!J!mczZ}S>(I13l(*D;iw$emzIH%Q;lsJ~71
zFe7ypoEa?4+?PndozYhQvC7fQ>i8hvb^9U*C(D6FXoyJ
z^bPuYPteTPb$~v~F;nPCw`xN?*HnTq&x|~f8snEZ<9J7miS0i&9bz?rqci(AnGV9q
z8m6{0VJx>3wm454Ju(sbEdq?K5A~)&f6G)G8vR2HRtKtrU-oQFMfj;YimOF*>ZOX@
zT_IR_m(Soxp%&{AtyhL7>VLj6>z3sf#B3b>8LfOLMAJ0*wVgDOpif^fF%)ogM4+h-
zkb>2w{R(hEssC@q!=uCMnCvBA_V9QiaQI9(!S;okL~MRrgb99}1mW6e_%6o*gW1W*
zTyj6ON?w8Gnc6r_`RYLn8N
zJp-Wl9&r_c)82N*X#jL5RiF5AgJ!r!arab^T}o7&DI#W5|4GphOpnnRI%c*I^8&Ue
zfh{Lw)f{4w^#d|);RF`KWLXfSf8d?IX`M_w_qN^^LC;{=|)%f@h
z>J~O)nWa(=RhWLZ(}M>#8*uL!XUCR1v9r~e*`B@aP7<*bI6v|{bzb{%heL@85j#A~r#XAX2P8lm25*9)tlI>tKJ3uR`?UlRfU7#V=
z9`^8=*@`w?=i?2rxO03wJ_iR)n2p<4c`hXjdk^24;ts$DC!9@5kSBa~Vla%Q(BL}A
zR<;tu`;e()?`UItUWHGn1wW>ZvJtkxu-h{!vtDssq{w1Hlwyw=C>@Ta{^LeL88wYn
zT=Gpwlu{ai!MYr_xy#q}EyXeQH5)qQN)!iWN+_c@C%Wa2^NY3E&S^&~y4
z3K~rJqZmF5NP(3&H|i~8B|s!)(zD?tu}F0B2f9p2`Lq+(=^4!o=qWZD?l%bM==RV|
z#%SI#9QfZh-=ed---|Vqf$^c)6zjMl_8DzIjxJz6$KhybLV;0`0v4fT>Z>vQeCFbY
zF9_4GX{&uBKvHSPH7OTZ@@V5<;@ndP@zd--BmIOZj)|aiQ)a)xs5q^O%`A9AJvvV4
zq3px=8@h$;doEU!Z*U@P@@DbP&r7f-Tlwyjyj-l8-c=+y|2U
z6exP(6^0f5A3nQgE_iL;KQ7kwr`;Epof=sNoO1ELCX~~9qV6nVQEi%P7!Ljl7OCiK
z(x6U@S{6DT)Z>L>cs%$#n^(IX>JLz~UHKXUaKLjKe#exOWWU;4w$b_q?iH1TmvPq_
zQeOdIaj^zj50&^7zC4luI(6HpsaxKoiu!2;Y!VN#^mH-vmLqM)XS3`y1ac?slw2bB84s<=i>=t4JDOL$EJFF
zICZ%0u7DfT4R(L*S88H=ET#vmVs)~tQfKx;-pJXsm3(&F_^8ywLX3)yhUG*2R#pRB
zGzX{$7(E9%oOivWYTF*1a^GcDaMhXV_kN9~ZR>{L*RQnBjJ>D$O^qGyOxMs9{Y?h4
zR$Gsm((^AAG|TSHU-G$mfNr)$p47<+=y*wh<5YPv_2D==7BZDu^sI>Vt=H4Wo4o7GLb)p2LO
zW=yD$RYnls9!+{eNbRH-Xn7!AUu@aB1J|!Yq0Gi^P8odE3}X2?4Lob3YbJB{z2N-*
zl3(D;(;a@ih()MBDhtf;-RU#1$LSD1=~P2tmuU9}PaXJxDPVKm;0FH6hI9SD$ttzD
zOHNi|(+j=iFM)U0@{M|_t?E08ljof97>)}&GJ(x(f#Ny>N)SIQqiqe<^cf_OV)+mA
zR{&ZMd@ZE$v+0jW_JWYiT9X;4ol?gWId1)7eW@Z!B*MhWM
ze$!W|H^680nn5Md>C5u3ito~=q7wOj8z0jSo;UHJ=LA7p2E}TM;80~>ZDwlIe9`&J
zqA+p)z>z9MR?!
zO%A_G*xJ(|boUo0>`fM4kEU7RG;L_mVVpk9+l@RWc@fd#m0i7FG;;D4@b76tM~-GK
z`${C;63Q*N+duxmfu^)4@B!!X@nxr8lM&t1yT(Co@W21aI?}4lQc0{+x`v_sznvJt
zHwKWCCe`8F=(db+PQdxu52vTXqNl2tWC{J2z3tj-Q%nmty=^>;@aCy!*Xc?@7E#Sw
z|3>c5eE#Y}U9C-d35`dnvZYsTyguSgcYy#~JN98xKu4U9JDZk;&A2K`SUX()V_Ex8
zYlOdap?>jm(jc82)pnl4!YX{ZSe5K7jqi6jagj
zH4ZrP_5RbhcK64QP1kORQ)yUThX|v!~pyEbjj$Hn8E!p;rQX*~j2V)msEh_-e-(SCAnFB-;PueK
zY-_@1eY9D9;Kie|AHQ`d8`#Iz23xtk(`AJsj)^(W7@*893F!0XHtj99Obk6I-d1xc
z<>mF%`xTFPhJn?+z$~DjE`MH|*qE*9#`jR-MyzWpZHs?UD7#ltSIbsig>}C;lb&jx
z?EuU$HY&pelvDJmV6S^^`Q$i3iN0&XZ&d*lMi$L4Ez
z<3er~K|0r!I-r=C+IV8D-1Z*49BXqt=hJQ6hn>EI${`(?0+I-iJb$)fwL@h>X5&nJ
zE1UUqv3CvI?WR;&P~u!^KdNC=U~$J5DPz)N`$o)mnNK>uYdeHc=DQy^e%^jSWBKBB
zcpGOxW!!U@m(|`RJ$LS8yi);hOY6As_h*Q38&?G~R6!jY+e6s4Wjwu{@PjZ==<{WL
zuqq}7WSVE??P*b9*&W4wP@A}tA#bL%#ge#9f&}N9U+U~f8;*oOl@c2UQ;Mn{$2(n{
zirS_p<8x@md?)v#rkl`F-U_J@xE+TDJm6`%h1P5M*i(-15Pxw@Y_(p|Ryar2hBvux
zQ-4YNZJ&mQuCfr;8E3cDZ!P#L;;Na$fC7u|cdDPp7QxZZ+gcEgwi*-Tv7m9Tf`@&&@m9o0KUNi%iKdufMtw@%et7&
z3s}fAH8c6hKUUVK47=I2SAL*LXb3>!Rq>sLveLU^z8zXihUKuTIjoui)2&QD_`u~V
z%lR{_zJrASeAv<#O?#|gOn5b-%B!MsDyc2fc|b|cF8b#hRz0
zECo)k7Ewv!3trGK34atDun7~bBG{!}cUm^QH6}#eb+cgC6YD&~U@+jd4g&ZjC!!p9
z8`o+RI-r-M&?JEZEr|t58E;Lv4JytI8ct<=l#2d7W%s=F>
zPwzS!FIqzUW9MuL@ckf|>x(fh+8+R6K2T4Tl1x0$2w{do!+o7r@9a`0C|8Z>xD7RD
z6H2$*B*0SSR_Os%{aiz(_xy1Jd<*DI9WVZqWr0$mZW1|9rF@RMFfX>}>xs{Z%s20C
zbW&`)0+MG@V5tBEKW(i@%VYD^t$dotswb=$yf)cx5!k@}^#9T1VRP(bPJu?=;S|fA
zb8p@opyzpsP=naa3qg>Ftl$a-75D+g7w!+93Re3G@U@dNHSeiQ1TGD~KzJm1R2#pA
zZ=MX6R_Kf`t+WB<~<&{p{pHO->j?uAoN?&znEo^NckvM;G5-Q>{avg*M*5%<
zCe#RU@!NRF9wT0$O|I;A?Fx(n0jMOb8BkR0UIXZzgOH({+N-eVSsaB*{5{-2b~ESeE+b4-%J4);GTiGM`^j!0^EDgG{L>oa%GFDI78ENrD(3Unwpv!ZZj)0D=jm$
zG_$3aX6xg__c)$kp64H6-3M^p*LA*Mr=~kz0LRjEW>x0bBPqwi0>0%v-_9}_qm5hz
z0jlt#93pN=ib=LL=xoal&<>^eT&{G-OgV?cO%Bz2Y8j{7pr!G%};azg0kSpxNKv?v2%|m>q&cR
zOPtu0EO;&JzsSYT&@m}-`$@3e4IWcx$D4w5awkRKAgfa#fN*f41EuR#RKznO^=9)b
zG2<4RwEbP7G+C>k=*5}K889Fb$524bVU<8!+0GfO*`VbKdYg|ByN@T{rA7hB!}jnP
z7W5}`?f~YNTH++r0bzzd$nKwfGeA}#p)?rQakHX+UVW#2N~==uzJ`3vRUS#w(&g_<
z%Oz{$J16PNhW%QMp1@f+UFiIZD@L#8X0(d!(33e0lyL?XT1Evk4Xq@QZ8=AhHfm(r
z$*7-tB_;FIdJg7QAOE5l8I3LPXhB;#t^~SNxPd4~w<0nnn%2wVt>U5e$0u6l3(`tYH+ws+DZi`U?@kkBiBjTDnh>v5~}
zZvZ;WXbglr3drGeBkTy#RuXa>yr!iFy8fw$!9r#vQV}*ysJ6sBldS<6yY?cdb->XM1Y8Bi{t@~<|LpC2dq@c66FHH0
zK^2A{i~A+wZZkj_fzxSc>@1QRPxArcBi2!$VYUa^`3IwLWdzYKYq#jyCXq$#RboJ6
z|1`jrR~>NMiTzNKA|#_YT$O)_=$~I32t31aStyi>ZsYYoLRZ3l2J(
z|4{vEtKk&eFF}U`BLHmqz0kmFpX-A3XD-?_MkHcEW`iKD3qDZ>f<;hN*TQh8p5S&~
zIj)M(2{R(h;xAI&9;fEHr?cXUPH8)ViQ?l7{dt^79}@F97FQULJ41m+fF$-1r88B<
z_uv(`9`Cp9uL;c7m8`25At~52D2QTN^Se=Silo@Mp9ol5_lv??^5HI+QTsTRhRvj_5M7?Nn}N{u(a1_*iaBY$9(8
zU3b71&k2HL1nqt)A`UQ}`?p%o&yC}@3Fu`2yRUx`=$Eh{hQkM5h$Kvpy%RAU#=hqg
zV>LA%>|^!uk360-?5y{SrbzCin6~qb5Vp4H#Y2eN8)D$(_o6!cR7H1ebzj!=5rsJS
zzJegbme{{oj^iy|x%2nhsO^PRp+>jgBLuO=2kMQijH*SEDF8L+gx_bK#lxX)^7dW^
z0vmavBF8~~F)!;;Kt3)*{E%Ypi329#FVi(^bj|dZPHm}+U|XmE!@P$<#81YOFz8C_H;>ybArL?x_0yjyMk$4>J6!LDGufB4wrs7)EYWAq&Qw_
zcf9e#vDMJ2BgLt^-Ra&Br+!1{;S}cw?aq&WI6pOXd7k1j+wSt_hs%PY>r#sA$9C5*
zKU~)h-8NI)ezm*(`{4#Ma)+h5BRkwhH{CHt9#W|uf~An
z%P7^$ti#K4(~D^2ZIkNl(BbW}>Fr_UF`b1^i4MMOHK7V
z(cyP`(~oB4&r0>r>F_Vu^e-|BC`}D0?+CcG8Bl8!xYLjtc%>uo#%5rv(czBN!`&T+
z?`IPzul$huL;W@^Zs(Y7G~BNX1NtcG!C~(
z3wP)Yci9T}Fpls^iwNk92;PdI7)M5=MaFbSCTv9}8%L$4MV;u3I=vM|Gmd7ZMdx%z
z7i>ir8OMA~5i0S;S8v3?K(P(Ru~)WY?m9&6TEJ9D<54OYRA}7M&$6Ah3RxhmJP3IF
z0yiZc{RRYF0AULki{1sJkr*I+ee45;QiY#hTNg0o6_l0NYA;N#M$F%c>-Pcp7;@1M*U
zsZpVDfRH9M0FO6`(&K?eNZ<@VX!s&{4;iN}5VWZo$-W>F5=e{>pvdY7{s~b&0FX~K
z_+>_4V4ElHsQ`8Q%!l@mj@}evBtR>*vCmZ-5ZaG|Gve2%~|N
zYbD5B>K{O1tM<&dpXktS^j8@n062NPQ$d{~tzIjMrLe!HD;8$#@~jn)HI*vc7Mlb>
z+cHrYzNj|^%QR(x0EKa4&Rf$gxvrdt8Ihm-Wwr^hV?=CF8D^_iaSfCoF+&}e1&I*o
z$(^DXs30+(h(C`dx+omX);~nN6KMhwV>6mC@BJHOcpejLGuGnV94M!vx_k=K#F9X3K^tG0IT4@
zJ1;Jtmf@qxTtJ;%UNbA0tO6&d!My=M6@bE3U_oSPJOGKOLYuoY+yEd57kyq1@HUwY
z;#E3PE6jLsTPie58ah9F$!`Yc4M1PWLBhGwQRHeL+$6lBg2+udmj(rJTpxZlg%6JB
zLOH&vKDb)Fz^Ze;sb;ULulxe-Gq1NZhv^2^o$E{uuHaI*U|dhMjXBIbut6y>#?1VW
z?yGvEibk8B)I+aehMB3fz-A}&7)C|Y6|;=eSB*YE(_Zl(wnRionS<;+_YUj5uEi3
zGWy-C#zW@qEZ-J|$_D)5o4*2Y7**atDztq6eOuygN`ykR_<;_Y*NsAVuhqP|s`RRz
zk=Fht^A4r5!sm4tr2?X<02m**;rF_&wley4d9@cGig=Clz0-JltEKg>cxX=wkq;I0
zzqs;yPrpcWOBagwgNadKw&c$MkP70bF*RT=
z7O(#TkC+}E*DQ*gb9u~1Pm-$_!=s&WgZuyXIuRiAm5`Q7$o6cs^j#UC?!@hb(&K}PT
zK@ZxN2ITaG2b{N$MNSkO$AHUn&Nn@*Auv!%j??eOE{S>d;L7yFo;JCc|CThBqCBoP
z7V;G>H@f=r7I`o?b%h`8Npma*x6o3qALayK*_bx-+a0Wsap~)Hrq9jCy(i2@PCIqA
zEDXv&d~APLzh(a3In23xT5So3@0P6pzSL8SBXekKdCD$5EukZ*Fi&ar&to5(YP(gG
z<_vzs-WR!KEB*O*$G5jUyXv6cl7)n;aSR!kvW}mx9|!&%pSV{Umbx@^JMLme6*)O8
zwDW&dWMA*E?<=i``l_p!@@KxhdsyRks4jBm!Dw>zCUb8v|P@m{taI_7*al7xtwQ`rQSFg8iOC}dsZik0Knpm)I-O_XFe|+<6
zj(ob|&ne+Ukh3%Ap(hWytVEo9yPB!m@g?&Ba@RmfTcO3l&%iBrHRCInJG@48lcsz>VKSGckis`ow{qx>$)VSxnl{?n^xCe39o15a63Ja5yTt|Do
z$F7j{V=sd4)L*fdDmlM?Et`K5R8+`eNom)*<{mYo*`h=_1;U_-XV=~yvVn0x8C
z%FRowInREIArrpQdOg@rU`tO_Ap@t3I}H@2gyg*@`FR%g@eE(@nVIlJ@#
zP~}k=63uv}?HOD6ymy1D1?bF-Jo{r%wD|_1`HbRph+WGvMCtFuX`Hv1(2l7-<8l{Q
zSXH*GnTf;&u8T7`7L?H;?bmEQx6yE8P!Sz`>=l}cU|#>;*rKf`7nda(AKE-
z?T%K%(TbXEs=FrZN4{DTPD$qHm?6G<4LP01#R;j5$@nJZvM0oN)MKNJQ#XoquYh-H
z$Vmp2YtcoC5|a2XTlWa`S&Y0y=;F5Rp<^6;LS4P~BP**M>ouDjhGUzVFAumDj^?VA
z!;J*4l{dgw>;-s;GcDtx|24*d`|EYAavW63uY|N*$6H6MS!oj^Y{pWM8c;#VHvVZD
z-$Ep>?HBqN#=5*sGQ!Y^QNs#w5d&8%~1HE0y4Cr
z(F1pAyILd0K7Kv?Wmtg9czo+aFJ5YM<3nCrmY|MVJ_tt%SV|#oRR^k2-^%2+8^rTX|$!H%+meu=1WZMO4}_k
zlJo(X-2Y|E_y|u4m8;yvp^<#c&3s}d^EQ}j02yINeQOs`KQHx$57&z(N+jZlYE@&G
z=7W)1CMUe^nyZSUH|0LaE)IJ4rF#Z%YC{#YRXa&7ZPq6ua@+1gcg9gcu8m7Y++p+^-dNyq^QTD}u98yPBw8^rE(6KN3T
zV4v!NlZ*a6WTMHa=Hxz*AnKq6TTrrAPJ<(}4nl_QKy(`+aFU_mUW*F7cEk?9`Ml0P
zK=*B2$Jry6OR}tv@x@kf6pbgC5+XdSI!tOif5q0JGX-MJ`6N-IpIG~VGuu_NR!A4Q
z5bac{rn-`B-&dj=Q1p8`GZud$tW4<&(6jvLfEJ)n@W?3Zi{?FT8I~Yvaf2_IY$*FT5Dsk6e$Pv}%2*O@vU?78=lr0>N
zfSHk)b?P4(y=yDKrBP#_{tXtLS5(p1F}?pw@>^-|98Fo~QEui9DB#xr+J$U-S84!;
zkj5jdlGaH2+ig+Vy&v6nIZQXjm*JlN9FBH0jHzE<(NeX5JG&ns3i_K9oD!OigS`n4
z!rQKf{IH`x!c-5+rss^cs(Gh8yyX1S>$879>hfv2=#e$LGQdTDR-;Q%4{}IlwYPt(
z@A3CYOntTYBZ-6t7o~I4bJ?2irMFg&eM)>Z^m;GS9Wem^OhDL>NjSmBsVrOv`J6b{
z)UnUVyKRrxRukIMyQJ-mL
zDi}b>C{07tg#ag0tcxaE)gG%0K*0UrXaY-LAN(;5b70L#WlYT*j&ZS8)}0DJPC#>$
zP~j%0Uw3%5rK`u4r0gcDItgI}tGps=wtfm!Z*>7r=zG=
zcSO<-8E%J5*)2`kOjY@ro^rJzp5URQqLM96Wcie38}h(I@3YC2lRlEW*)LD9HI!X0
zAbZu&T&ggb0zeHCXX-Py(_Qs1oOWBxkZHBl@qhqS_$~x+atr~c(Hom}^GEUJd?X|}
z3x=V6Q-{6xh271_VVgKvg7f7!1Ix#-LkM7WCcjA*n`bEh8liXwhtA?1N8Z^TGo2VO
zaNnpfb25awjFDK(k)|X_wbO)KSwhJ|npAM+^2v;>LX+LtPY5X?m=!rI;WZ`7aSdX)
zFC0QaaJupVe#nXULTWe=lm|HT^06NKSx}B*k-0M7KOF&_)<<`w?!Uhy1VH(mb3)iB
zE7F(j5~HVcms+9N=}<8WymAd0fde7Lb7^_
z6jWFXb7YZXfpkm%DfvDsDL&uVX4w;}M2~dw;C-NhltWrz)Ht4NR%=0E0
z0s$IPe&JwaVcdfY4%sTN*vf}+Ff3C?(+DlLOnRk`P5^}5sqwp8L*|!?G3%P&t)g;I
z>}G)rRcpP_t^0;^aMoAC
zeI~0OIbf2w&^`x@-5OJ`IB=xgRR4imb%bqBUBP9ka?DOGBS0GZ%mICfm-%qGVm4>D
zvkykaL~Y;!`b%?asgd^+Ee910)Fv7&cc=PGx9;2>wCVnus1)xdT8_{{)dN+BhgZ;N
zaK_cfm_2Nm_hgM8(GgUk1G$QR;DEW^s92?O9J*c=r{*TQAe1vJAP$9!wxOOMec(N{
z^%PL5Hx~MDz9D$vs2D|)`K*FM*AY~gF+IGr
zkJpRE+KT+<%C{mb_0h9N&{a7}>QHrTpuEaXXgzKr?aJ-TiLcN*Z1vJu*|P8u45ks>
ze?`?m=$j@Q^Am!;Q@y{ZnO$@_8Fl58%9V}}kraB9UTZ=0`^(scE049Rch%N}1*RSJ
zM{Ap9=jL8Tg*N=ixKwLfks*W48Spxs=^i1J*~Uf2^I%RuHN(5c>x7PGrY7WKZMofb
zC$)wQm810=q(fIQhnLanfgx{m>RBELGA^fL4e6l|6%6v~jYQ0#npF%c!L!bL@ak{1
zZ@zQ%j%BHw@9}yg&v_J^qZV8Lcs#H6!8)ZuinBN*l$Sq
zp;E7UN!)~2?iYTD$u_p>aKNrzMO*E#LR2e5g<8Whc%Cj?7(uu_6o8L4(p|JeT2`fE
zUZK^VwJFqIMR%vMhk|P#G`$J*(jnEq4Ul~L3+>2(rmi6yebBlvKmyk`{u`tJB18LA
zyPK1KKg;)`e2J7t&00@x+i%GT4%&lUlA?3f9}vj?UDzt#0?qFwk7`N%h&T7{=
zM-BJ3_QZ!}9_w}?j+Q_JrZgu&H?(fyV>61!Cv2B3
z{O}q$kmnF)hn9$iOYHc?`0`)`eL>AOWIqoU+ER62SaQX%NLs)Pb?+UF?FG$t`j>mu
z85_m^2`Vj5$4*zBRcQTfX8-&X#=$+U8z(H_gYE)AUy^YD@`VreNo-%3A3?yB!L-$T
z##QeldLz~v3mqkjw(?GFe{w8Q!|o%G7Ie0fq5n|XH3z*%rTy8g>Cxic5W6U2|5s&0s#p%AONT9HU7K^N!`Im
zuQ7uI1($Z(-T(8~*t|Qu__W|-54IvV=hdsK_^Jom(NGCZnAJ)sHW@a#U+9EB`m#P+
zfWGFBp_6$`)+qf=Y7Xu2?aV*PuhW&aqH7-yG}AC;mPW{R2s?z79=@hfPXA
z{RAy9ipm&|*1h^Lp)nCc?{V`PfwxE}mURdQ_}w|TbTZnFPd==T36M6!_Rc+&X=uPA
z@5lTJ)~j;&oVZyW4tr()P;LUkj6mK^5^faOC{H_t0>g~cd>~KZ5F(1jkGYqA+h-D{
z5&2khuH~NMH@dooG5`7U+l0p*Icgv)F~$ud6lp^sTA%2@~w@FE@M@
z?zuzDrPfbi>mkk@2o?=cX%V68{N>KYMxY
z=qYq1=S8e&W4;2@m5(d~5_7hO6Lj-zeWFgxgy5(>`+3mFl35!nEDDGDaH5?}Me0p1E$Q+VcckXzZQg}HcHMi#SNaha5`>n#
zhjH(n_c;S|Kz}gMI~{Kkc!k)~ApQuMZdw^PKrF#w@&*In}5iHbF89)o@
z(cCNRL7MdRiUR$uRB6ZFl56&X&#j-r9#w^9kkRhF^Z?+pXE(pd1buL31dK;j@M7V~
zkN_Lxc~MJ=g_mC|9r8|lxPSU&2$@)|@QB~j`U@$kxd*LMKI@SLT`G7Wk?^_-eKkxQ
z9gj2aTzi)tiw;hLAe#`!c(BKTAMNBbd2!38zuNlx9{V-gG*$Je2L2Kq6q`3`ky56UpGp>
zOP@tsy!|c=0_Qug6GN~!147_`t1#g|40U?^d`5#fpL}&-)xo!&fUi&kc4iW?l4JKr
z3^#!*{Yk$PR`;r)*0cII`C90c`sl!O{Z2_R`=jU)p2!9663t!s
zkS;n?|FqNEZ{Z@?sY6?`E5~l{Y{l-}FMj=GFFNFQ_iw2wBC8un$EwfV@Gs?@vNfb$yfM{~B@1
zZbd^*gAfdulT^Ny$$UKuqw`$Vt#@D|pyiVj3q0DW`YVYt&_;RF$5Qb7I@fKZI5jM6
z{O%F`)OVHkP#b=!4j^b9=@we>U<5r~GWh)){ODUlGU^{!cO};`T@*I443L3QUS>
z2GrXlA8wN$WpnS-N0f~J#&0Y=sNh%2dTb)N6UxO6xD(w0yWEPp{etmtPYMcG;bBZxm&n>(+Zm3F=uGIdp7SYL*
zO}MJ1UvYC~00Bpsk{S9T6ZZNA)v<}V-8auK!Z-Rz`&`XF)O*#5S{m9vz}wNM_WZQH
zzA;Yw+mqA6v(_Z;2&?2LIdf|eo)a!KsHLVXEmn2y%D$PF(418!K)x7gi?NqJ#0DUH
zO+STq`1pMox?SgY09>T%C}fG!femgi=E(lpJ(gn!`whyyK9L`-CBGlU6TiX+6NCWR
zE1TwCes6+r!kwiTotC$r3#+32Zg`mj(LJuX7@=bWNMJ4@l(D}hY!A<84`u~Hqi@r2
zfq-Us(@f&Ej>8ObThq&(`aRbgN|b*aFWj4wLL4w*rv41p2-KwI?77Y@;}WMNIpK7R
z7HeE2eCmz`K`qN{Iq}-BR8jSdEDii_{`qBeq^#jjo&=(o?qD%Ceh<3Qox8VhCMUc4)uXOA
z(#Gg6F857JBX0k=DIyM-$!01XVpjuw0EA9-U!UMyTEG9X
zV8c^OKk?_A^usL+D3vqJ3*Tu!#+a2QAbSQ*t(dpy@(fWoXUN~D@v#9%XIq?DdUW{V
z=i@own)knqZrd2Iyt%_TT7Vq`Z})r__2kh4^1^U
zm%TPld|Byu_%N#O`dO0HoH6GORA1!|)}H(r%~Ec0O8t85rKm*i%p}rdq
zOhP+|G8Mr1Dl~}9@^Nre37-fNPGF@Z}iwTsLhs%k4)
zwp}*9B5OkwJ~}LsgE8Zar1$-C#19S(S$uej}PeMVZP(b7h{>0!)h
zl`2S*kPN%HDoBRe%QBQZ0Y_l6Rw%7Y32==;AKs=V9r#7Z9+G_s5p!p$AeBMM>ch9B
z7V_>Z#&|c3+vtiGU%}zu?NrGrXdxym>E
zKe#-<>8Vz~qrWO0BI-_c3jY)m`hz746V>)KCHZECI##1q#s2%;v=f(dVItfd>1uvA
zF7k4ZA9gr(55!O#ppy{h@^D+oQyeg4rtz3QT&Fo5AOB@Ga0Y5@b$JGS&i8<5LWi`)
zc1c3gx8Djq*oziLMsCV*@FfQj_mmF=kTLetD5qjV-K7%KjQ$+%s%R*?qHV8U1=sV{
zx01Y<@MP^+n$MR`lRT~d**%umdU3cy+$q7%-RgPcHf*x7(`h~1XdShyJui6~N~-_;
zxKf={-6SSZ>H&8gi;E4H*#Bz!c(B*K$=qvk{fDn+w45YkkL%cr^eM77xI*SZNw|K~
zTVXxqkp5$)!k^!S_<~K}R=~Q34n>wmH>ON&*uzzp4&2f<*_ohpjmg|JJ*b*Qvxv~X
zpCu_fz8dZN`2yzmmGKbx?YLMXdO(Re0uD$Z7Dwyotk0YeosRaZm5elJyr;a}Xq`#h
zC@GXwk=FYYGF(sIQ)&-tSIQE8#ZkbryN?&8R>wy7Nn9Lu2#9Z&{eHjC0c|A7l&r`A
zx5zi(bh^HXUdZUTZ~I(XYyIp#oPy~S
zDEA?9MwJpm(mM{vjCP6UTyL`Uq*SXWTopA%w`cL=L@@Ys%Y2+6A(#jiu&lt_gDQuO{YMs*(sUY}L_S~Yd82yP$|2gc~u
z3Tf%n8jjpil`YjOel^xGm2*o&%41JPVf{|k;lc;GVe!2qd%EUveK;TGGy{ZsbViSX
zjD7c;l6^XBM0rRNsp8O7dJkFh;QjAwA=L#Z?QO@_&yN1>=OuFX13SJ>k|k18lV6TT
z_2JS@5R$gy3+rix-&&3$gHhbKWtN!0mOD6w4ITB|=DL}l;?3_0&f2=NMfi*Z5M>0@
z*Ax~qW*C)pvDu8Rvm)+_gF5T?OoqXL3{8N_xaZVk{HgC|SI$?`)rk{^Srj(Zn`hUP
zrvVZ^56Ox2>WDZl+VTl}nNDbPA{A%~;^uUPjG`4;geRJHTY^pArain3cI7k8$@JX_
zh>AX2mV6^wPP=qPzJttO2L^U>+^vevcPd%bvbqX1J#rp%n(;w~-TEX|3sUzdu=3?|
zhGekP3;>O$DFbSU(QLmq7LEfJwA|_0cSg3tT-F$e>d)Vul#`ooSOit~ES}eRN;EU9
zjT$sbrijd~S)vR`3zfX7-KHGi?rs8DnM@T$gTw)<(0K%5vU@%=XZROxKCWuLi^$Xz
zj>)s~a<1-(E<-;=2F2OvuHPN;C&gO~3}klaF)#p=y~m%s2fuaY=UtYuy6;16IbCN#Y6*Ia``}m_O|Bc;_(>uz-5JQH02)oUcNZ(`5}g$h?H_E^j3f
zJA7wx16;ct()NuAUgx-k>Mb~~Z
zO9YGX>}Q}1v{$QNp5>fbU{(hZKLwm
z8E&n!t`G6OD`r*)MVwThGE4iRfjBADFSnMi$*z_ghXS>4>_$Q?-S2v~n0CAE#x#*<
z3@_C|e{f~9;~neko{V}uIQ8rf+NZa3I(IC-Qf26&={j?RjcNP^MhRi-%xbTO>s5D@U`vh<7MJA7M|k-a
z*?yku`ZiPWwQ4G<>Y30Dw6ZM1RuW;U`J`z~DeaH24#42aGR$NldTj9fa)?1017}YM
zmh!${w=}fQ%ZPP3$2%{QF>PMdt}2TER-sz#e8^3O>(t>qVOV@*g{hFCf7O5;i;>l0
z-7Y#4oVEtalUd1w+$_jnHQ2V-_dqduIR|jv1?k*a_uxRNG#XDxT)M
zD_Vh{7WjLK2Kc2Vcr64>Mc2LjJ(S0o_TF4!(K#=UR9^avou+d|qWHI~OrLkhfGyXU
zReA`*$#eNOo>s4BN)Z93&f`_O7H(#9w=;01NFKx1%0SAzZ~GMg$Vj)$
za2PSzfyP9?YCd40XvB66axaD0<+m6Re?8uPBB1>plbe)vtF-Vhx{UVaH7zMC5O|e<
zML3v|=pA(YJu!XUa~*X4r!KnM3{rjUb))HFVC-=64dxgR@Osf9dzM{p66*
z6+vTnch?+!e2aN6
z{qS^m{;R1=47Y9OzU`-9m6*gXo2^F`+~`rpHoY3cAbEqt-9b{@wD-M*`W*UuX3id*
zv(GR?;RQnwK@RO={a}gKr3z=QNPr^eg$)kvUt$Mg_x(sZd_AG`$QmrLg{6RFMNU$l
zNukHbpvnZg>+76=$s;TX)r5D+umx<;McYwe`_ufx1lv*yXo%+IE#n!cTi1eNAIM@1
za%c?Vu@(l9M`vVtKUO5n%Ck?F2?1r<832H3p@x+18r@V8N>s;fDfp}2C47HyAE4Z6
zVG?Cw<6M!@44M%@z0^gk(l(zf;?meNqSPhPnMyxp`UMA~hb9!zWcbf7iE1(+rqq3T
zqOxuK9llB@lnG_BA(%<3-IC^kcFv741aSYJMJ*c7JE{8WIuy;?|FmtxI=Z)sdcE(AUV>07
z5RrK%g2sa!m|>c3v%YIH)cnDF%pe9hy28pw$rm7Xf}L;9oJwQOf>N7MpWEFD;lw?N
z0_BeV2!=l2D`#z*WY1ye(=W_g*aktol-b`;fu`RyT9kpGJ!P7+VQng`yPsqR%}Kh^
zAqCRJA2|MKLEcHjRWph+D#z=bKdEsV9V)4EC}PbHiKM%y2A+Q3
zyjY7ku;0LEwi{eNgWUHVk*PI9OG3YT&;H<@Gh6?8_VLXX7D6XxR;0W4Hkg`Xg;3{b
zJ$1fwn98EfApiUWr&;NmWzp$xfe*3ar
zUtEd{3=nS1txoe*lqCt*rEVUGuHVk1z2%duW5PmLMj>*3n@*X4r2&Wteb|=ksI5BoWFhbVJ$ceSY6bHNs9e
zYmIlU*@eRm!
zc6Y6pmf9SQhoDUXaeLZU*qwi?U)U`h|E8WL$0Z)NPn4_9JIsHZ{pO3Y&8qiBS#LWn
zy8cl{y;l+S$5z~ZV@;Yq^1Os;LMZ^Ft)!WA1R2&LQ`t+ixS3BGWQWWZAHOZ!pze2n
zm8hDa%`$~VX}e@ei2r;gxC=y#VX&v!+{Gj}F2f1PdX(^CpmXB_nI@F$k;!o4g4x{^y9j@c=>4`lOyDu6>XmH+=`1b
zyz1C$Cvi<8pT#dJn6gJ)Pq?sO5$b2U4{r*(kt
z58Tdp^NDLosLKn(cH
zchZG5a11jtSO>9*=#1-e6BkeZ@55efv$Oigi=ws6f5re?)Kc;b9tvQn%y@w5u(Gx=
zs4w~)h+aZI#WBQ%KxG?nSml18kDwc~q3XC#d~}XICFtYPLf+4gowpxxc)tEl`|2T?FJM7U=8H|oCQ-aP$bc5C$^6iVr%hlnKB}ZX4
zV`cK!>$=ergRq`vxihx!U#OWVPQ_rB@+H+h>nFn}%$rueJL-rJU;oeY@AgK=K{=Nm
z&DCqyK3q=u_q#SJcmii58$LS;#>ZkxI7(-%iBDaknv3AT1uB@Qm8)+jgwKqBDi~?k
z$6y`Ga~3$#f%c%0jCUZ8{Mk*l{t!0;(q?y|*{c0zA7tss`B=-ZO_$HUEQe;r9ij?u
zHZ0}{Ln3-BGz2j>XmLoxC54E0C4)!~Iy)s@{gk7;Q(!>C8c5GNaS6Z9lG4-OnmP6H
zONK`EiPdh68cV61H+~eOA*L*A1V18b(pAJ)zSvbHq#QVO0nOEH?H`fO{A{3p{N~(-
zgI{crhIHIQflO3k+E%yrwHrOZSHo|zjILP)(~Ptgf`gjkq!p6b>_DKs0S3gTM5sEd
zB=8_gc~eDblie&e>9&e~8cSApTJz(Lmk2|$eq6s{$9o(y*{GoVp{)5Lm02MKm3BlM3z(s
zr5`Sh-G6~4<$LO{;k1X7<))R!e|#FsI^HkOs=ce26W0n#m`aVY2HBBVYrT_R6h?np
z+=AJAA?X#@IUDJMr2>QJr~mvj;hSSA4#t4)Q+O5dxtOyT8K7ckPaz=i@q;Y2t7;}i34D&C9{b&BU_2J`k>6rR{h-#3@8R0z_hCF-~@LuxA
z<2|;EI0k|Lgr26~TB_j49tW`Y65f2v16#9k_fNZ6l$G32z5`5}>gnY@b*J?QznV-9
zzk;z*tQ?!lw=y{JJd(8INA)lP&aglKJ0eNUagHaz$Vo~+vCTZ#e>Wu69R_m%4lBzJ8HP9>WkHE78)?!{k2S(&k^
zc+uF53E3Y2MpaeS80!#{kdg{FUF*kB_|JJUt&|C^p%P*SY+J!afvsrcVhwDLM!s{DI#gT?l(jdr2(7NkI+`2}1;Q!W3he~7y-=!fcQk9i
zCJ~j%hVF4qe^T0Jcrn5Wf&o$UOeRrkp6&z709nLWau8cHLnnc72Z4Mn(80DPMXFY{
z{t7phYJ=_Bw~#~32iNb3XDK-H82h~`Vnuv;1Aq$6ox0r+X?YF&WQ`#=v%`aH=`-$4
z%GR2;&`_z*hW37r5H=SvIspK-hJgk|;5yOI2?N;`zs`v^{3VMZgrq>t{w4klUp9lY&q@JyNjII2+=7Y0mL1@r}c8``f{>8=Pg7Tl%
zlhX|8Au3aSj!V}(K9+90#Z=M1bDJBib-d>F`Tg}V5V095V!TDkS2r|Jvz9GC-;!ne
zcip*d+gi7xwjiVzC%&W2gNFlDV@1}{$6YY}@Yj&l&4PC;vW$(HZGYq%UYNBf1tNr|
z!829%tLmyY2mC0u66?qJr!g=D>TIony=Q#rRaY=7$>gEsJ`I_`LJm
zp^{zz7+4jYZMTqGN7Y6od23mEe;bf{YHP1m<6?Gsbm!N#CN;#-mlkanP}5+lA{LwN
zE|W+4I}MSd<3JcT0dA5+MfCneyHsrfd*=a#AwtODqIGy{M3ye%g*5wfsLbhQh&Tr-
zlq+VAe~gy5?ozuc7o+>kq&Fqy#%ZiV6}26zxdT8Zf&!%!^Tm&9MUtWy_L;RW{I3kC
zR(a9Sbclu!IGA5Y#+exJ%Hg=#NVmm}w*=Far{g
zGB+@;T|tLQSc%(@z3{(DX5kh4@$uZrr&Y`6@d>@Fz9Fa!Z_(MN(fGK-qsJ8IagQH1
zEG*~pzpPnrI%Q7=Y5BO=D_{L69HM*kYwqzeO;S?bP2CLKz@p
zmc@$J?-ZvDDojl>h|?sDi}NmE=afITaVz{o)qbY(zJ;0Lre$hbihS6sgq?z_00f+C5?xubF*6%S
z`C^gGQX#yZRk9|Da2#`(gR0j45hQgeU6~6cP1x8wkJSG{_zu~_s%zjI$Tmgc6@A!b
z8HpqaE15dO)JAVxI0@t^1rANZ+pe`_#-*7?d;?Y^ytUF4*mDC~pJC$ehztOWTc8ed
z0c;RWk^m}J-I4i_V8fY40?oO;C2!%rlxw)>+ZIqIRWgY~Q!wp!Fbv*NgBGe;D{w_I
zG@|6BjK<`-qbqz-+g+MC==k<*dap}%!RWw8HyQn`T@_M|0kybQ2mjI`X$lEuBrJTD
zi86<>+^rF4w
zCC!YnFWE_GHhb0(h3sS}MMyJ@ovhiS#=az3S|rsBV_z#GrN$akNhPF@ugCY7`*Gj@
z!1>`k&ULPH-q-8(d}{TaNF)3M=+PhSoukCBq7D~UP@vYb@w2B{84yXyc)Uc-(8zDtiJq*%
zG>W7e2nI>5|IJA??8Es{SVO5bVpszBW}$hte>xQbfdg5IlX#|-vWQMHP8MoM(5k`^
zNJwU3cRE;f7q4MAlekVl0{`>xRyBOECl~6x`@pH>o`(uiUMKV#7Ye4IVUiusM}e~P~pp}
zsrA1i2#hksAq;_sjEk+Ty5K_#!Wu{omv_P-QH0L;QOGQbLd*EMLr*eC0=#9@xx3XF
zd@(?1BuFUjIMQtX=C8Cb4!3<0ixll$B(h9J$rQ;oiqx+ZTYak3rpsM+f&deQLbAyY
zd4&bb)zZDU`WPpW2m$7iM#Zi+jUDPXhebHSk<
z&2Aq!GB`~@-a1Ry3Fi}x&P9zuwPT%v(=51NQ&NLL$ER+dd&m&is<0JfcJTIyAj_o6
z1yus%07wr4a>xO6t`PMYJX#c;MvyA|K=a@kWUjX&1xm%zU_ac8IPwD
zQg{+Raw%0%M6_l_poFgnuhVTwh%Ep`uYGP1;5t4pAHYOJk$Cj*w5tx0u#2&83yG3;
zlp3CwION>!jJv}vku|zl4W)%y;1BUHjeT31FybA_5=G*XBvy1IL--73S6(d7++3tz
z<|2Uex4#&Yft|`rO=qAm
zuO(s)sEOYtPnL?`1$%pdiQQ_RYhO%=e_E`EJG47!7gQiWl_R@^KM6=7w+5zBAqfAE+lXy+$}Y3
zxWtf)vX*4_c^#{cekye?ioJAEX=v5F$5&u4W`QSxIas7T-D1%`#~kuu)GY=JTnQbGRj^HNMzgF(Y;B@s7}hHXaYcscRhvcAH;H9S&Lf5O{)n
zWcA#)lZ{0W0QiBNm_eoljHmC6iq%}I^?xeOq*WwCRnt$!NAjCW3LdeBN5Ke7M$8%8
zL=h_=XRcR6YlzhTx0zg8o>CN#?Q?sE0HYS1x;V@|*8A>U!`~AzE
z<0$7uWoS0+5g-@q$eMG9)X+m-q4|~@mhh0RjjmD=#RsslOesWhkZGPVbv861b
zw2;);`|bc8AdnnaK+9zG4)+YR+lv2m_8+5Gxu6T@Mwed@2CtOo7|2rp9LQy3WMntR
zlEPoFc!&k-%m1T;-1|)=K3Jnh=imKKb}$rCD?Oyj$8->9dnBo4VcUxAVP~xMe`V88yVP+5+uAUo{igbMr
zyDW31gk5kDl-j)^zniFFK1D2K*ym$>WkZ-kk9@9At@ZzrH@n63av0q;nF$sFL7$jAtQ~Kda(uv%wNul@>rs`Ktgh?2+~3koI{~Yx;ul1s1z55IQK0MQo94@o>K@@$_77-gcu8m}5d}GR
z6u)~CmG&pbeoOBj#OB>|#ue%zRqs71P`sDa!3Z*HD;dMn^Il*6LPL86!OSdg>~^cG)ZXWY!v!_2;qyNSq8GymQw&K2F@Z6EH4NUnoFE=#;ZGpB^eThsH
zUtfx|y%nzbZ`|zAgTGXZmz-_Kjk)?pL;l&HgK@^g>_~D<*>WzX-6s+308e=g53jIH
zz)_tk$<7LVDx`M(CbzR~(bV;)k@)xut#ek^@$m)=b{?_zXNJ)Ol-{Uf=GK6ic;cM+
zTxq8-PdA?0?ps<9!#aUwBo>Tx}(8T4M^?Uvk`)^!F~B
zPH01cm|04ImZU|3pxmP?>(-3-c{`dcZI!`mgY8_@S&&#TC_v_C;aS2f)y=-
zK>g3(qwn{h)MtOn1b@SG3;1fCDbIfZXb&exhJg-e@F&f_;P;F1419-nk`~R*YlI?c
zrhuz47h27ts{pVbu716Wbhq>j7{Iqyu5qkaLUl_vQa8(FBD&C|
z8#CLYswW2b1+~@<0Y9R7<3WCw{jfqkLam;yvc|r?-sHTRVu=GO;DKgCP!g9};JaFp
z1?t}#ey89@Zy_C%4fdiGol|4E7XkTx<~-B+o(fgtY2Phvcyb=r2H1rFc7S|M7IGNY
z2m>}?>B1*lQTb=~ZZ6w2%G}E0I;~=7<>>fdzC0#f&fSV@#L<*JNTDQ9B7-r1)w{a!
z;X{~rE>7(icHrc%fGRFC?P2D)yEvF8Txvbqf?b{5?iCQ!_WEX-?E~U1;hv$IRR(}^
zSM1Dx&Uz$?F`bDYI{=T~w7jx_?W5;+cQLb}%pupZkmJxvVZ;$`?YvNyAAo!-=MW3l
zNqa<6%TzRTRG4{PrD2~<=>bqsO4ODI8{iJGI1FHAkDrNY+xrNVw*J#pS(@4+61#v|
zNUgpZnjP>66&rUgIU@cJm|hsHPL^7u5d~yp42ir(Opm2(+3TK#fqMD
z!Xkyg7V9|u<`s5~ug-p|9ZSqso0}wL+8i9HRwj#-iPY*&YVh9=dqq$>rA_*kWOMpZ
zYe1&6wN|GUooYq`JqA)Ls`tD^X
zZ86997Cre%zi%cAKVHJe1(G
zObR2qK9LtZ3G8|bMNvMOH+6_84B`bSbO@jU0&K}%*j#g>kXoKxc6ncngqQmu4wn`n
zPeq=k72ojdKxGT_CaSL|a-29qMQ+r1J|K8EaTn3lO3jQf2N4~bh;UPMjk*~$Nh;%N
zhDbjzx&)Q9T@)?&G@IQ&#QCt7e@{zqwSf{&w5}syp4*ZMw5)#O13H9qWLZIjOSvF%yUUuYl!c_qp8-S
zYey#)H=$&+ELA=)T#qEvBh~1LCrbc7cbw4JHSG
zJ$U2R!D3peP}z)2*uYjk!d&)F5_tK&z)xHo)gp-7KHXKsyKjr9qLn7*Af^q$enF6xPc&N%C8O^&^AV5!#+U
zkH%5SI}4a1uz9b@p+=hx^#dyp5%~9EqG&x`u0GOMV+$LY~_O*JZKma=RcSz#XwA
zy@JQXH55K9ml`Pi)uV4kPekH_tXU@T&V|hjr(s;W9NrnSPzxg+ZOOY^rt*fivbI;H
zKf6!cCxg#01b<8NER0?&5aPo6N_!FzMQX`*NAW+gbb@#@o%$esf!A&q0Zy$+I&Mbc
zJY$ym(ktjNUt<_che$b-i+$dIR4rlf)eRNrYVqVRJD$`&#`DsoDou+oQNSSP!Fdx*
zs%VS{q7;y;1GaeX%ws#G+o)2j0F)4ubEon7u;cFJ1Mw6JAB2*diKIjJ10luyI@@`9
z=QKf9TY#e@0}BJv5+9{a
zCfbbh0%QhzBs&GB9KS%aMY0KSv}K+|;r%z3>(A8a<)8ZWZaj|FD;Hk}H()IYL2Qam
zmTft$M=91&UYESDXK$rnQIVWp-ySBNt)Dfd58D-&!k5~nnMS?4?+6O{lfV?Py
z#LSIwz0YRUI!E}RE=I?YwJwab8do1!a!L$Iq6AM2=m`%D!J2U)?&M(0c-i+aDR124
zsRFnhtfT`eYN4LIxpcs;`sd_#HhgaMTdz}_+^3dNywnZ8Lp44XCIBgC3Hr$fmU-}M
zfPMf2qSPfszsJm5@HPx=pFpw6$Uf46Hoo|5X>y`hy!OAMG(m*gewp%Se-)>O(n$c|
zE&ELBVetWIn8^aq%WzmOnYb?l8QbC&9TUswmloOJEy1yu<5JdW{4p%!X1V>UFoZk6
z4kf4zH)6ror;hqz>K6bD3eZ7zWX|2A&2dWz
zpEq}B3{!>^Sli0$CnH0{)tn>L0zJ76=%GEd2QQ2fJN)P>mY~i}&hbQIi?nJ#SkNrd
zU*yN-$Nq6WTLupSt_0)ySln$BPHYvJ=WytowC(4Q1a*l=d9RArhgVm5mr+~_RN?#e
zB5MHnA!``6XsoEhFK>xe3+B(C(66C$j}DFcc!JEqh#KgPU4Y9LRZs(P(NQg~nY;ts
z5wl;V+gUvBK@w;UOwOpldm5MW0yts|tS-pO1!6Zq@qKGBUt^`k&|zL<*fJ008gjT^
zB{IQG+Ajyuj#+m#TL#Et>Y3`xIBr3upFJ!dupfU6*{pQ3hYE
zBlljF<~ag&>XCSM*cA@{ZJ!X!${Sq$lKaC)!w^^GHU(-18M5`o-GNj7Cc^EYMJBn_C^AStnb
zi>krJ
zjln%yUO&21VHyRRsMq^66UR
zI6=7jA%`cg-~BoO2Ybv?^EHEOc)|!C{N)|S7%kH)g^2)BpbE#=YAc+rqY>2Fx&~SC3GUQPG7>`OBydGnmMKEsZ3Ccm@UdggavlcH=OY
zcK5RzR^s}>iJy+dZmU=xp(2H9;O13aA~xx;MKO60j74SxvEsEb{DanKB)rbo)&BX<
zMCt96OSZ{ylj0;u5
zXv5FLfs%*z&;4OgklNJEvqz{%8{*w;*3Qq2RWsZ$nSx!tPV
zi74)mN^c~=z?AKs$ei16my}yJmB$mg_lI1MP?2!2{#fld&4stYe2e=KGz>a!R4?Xq
zCNAwKPXY^s1waoy_`8G8KcpxX2?2?u`B{KhGD;1xpiD0Cyj0}(hf8QfvC0-~ujV9e
zix;sL5p~7?;aCvl2xZlIuo5egJ`~e3ki9E@O$Q9{^2@BDxCcA@9yy&gPwzKb6q;g3
zE33#9nMgaMgLOX(t+9kQ!uGZSVu_8wj{KC?;?bWrtj>eGke&ZoiAWaDo9yhy#7um~hz?y{x}1Qa4iG!fR#h1%A(u
z<bY)`tk!ujCFGsdA3_Es45nUsEyg!h^98G8Xn$mz*a4&rSYp9R3cF;yLBw%6L^6w
zkI3d7tXVX+2jD&Ev+(v3ZBE@+Rew?lpf@7?X8s8F0o*hXhi2M=nO+8)5CEwf+Z7go
z6OKNdjNuq~?}{LOmcKi6WwMaJYUE?XuRQURoq$B7UNG+_PjMM1@2m$*`-9y#Gj!uUK{3l9<_d4kugP*SOo5DgvVCvYjmV
zN7P4Xuc+FB&^AgW_y^10tJD}wJv>{bppAiKv7YZg#H!|s)Qw(!M|ZI7DgQ{vJoMm5
zV{wZMru(0)NNp6kgBG{f(xrng~t4869O7wk)t+=PNfl?AiUI7V<|q|6N*M)
z?9~SzKk7MZ)t(7^oe>dJ2~U)m9WeF66SIWS!*rOIkB||bm{B=PO5|?dm)H8+6*o|>
zc*V~z=BSJ{&GZ1H>8(Q{U=WIbZRgQ~eshq7A4WJP2y~J+DBHV7xP&4m>G*WSgH1|+
zKe&mHMT@(hi;cz2tR?5Ponq9J{IBm`hB4ymjNNKDkFcctH4=YjEwTNy_lsr7S&0@E
zTPy~A`EaAF*wjE=@w{|!64V_6NPThi?8*0SSlfO(5##Z*$RFwv3A#_~d#TG$y}(E=
z{|W2H;{1;!fI>8HWvdBmTP9z~ZFp;8i+_p>fb~egs$jVQw@#@N;2}<{fXOcm
z4YG#h8C-kkq+55mV{l*{0Hi}pIH-WoQQ_Bb7KYC^2-kVW{L?(|J0mJJn-{70ZBVe9
z#uXTb$VwL6aFFg?A1VnD9i$7e0O1tbuigFvi+uYv@hg?V2<7}?V{pSc()kmmfXzAS
za8QUbm>f1A^oV|?1;=g8eDU!f4pr9CIJw;7roC*pGOjL
z#$2B-#6a2)-S6y1Vj=t3HM(l^8q}G|U0BtumJ%$;EAw`7T&N~n?e2zka+B_9^MKEW
zEo82quS5DB>~$>m{SiTUl_2fLx%(ZO6&^ffHp!
zzcvrJv>I%4Z0_(HW@t6Ou03;G|2nsJ(^R8Fp7?cpnV{+WQVg>;jLC4R3b0e+xb9~m
zpe>QK(6-cAB$q@j>yA-ht+dg22plCUd4+&%2{_0WLM!S?<(2MfT7elOF`5Y^_-{24
zve!%Qm8a~(ON(htfb{b>?DvFWNjyIoP}Gt=Wi|^QY+U69=3V1VM_H+dUyF4&KY1}#yuPK&RSwGRmF5iCf6K)&IS6#&Pva(AAlX#
z4CW=n1O!azFF<55V9dZ_fCyz5=2Nc+u|_Vv%6fd5Cl{5Ahsvi>-)2ahF=Mz213qY1
zJ1KoruXNcvXgacc&
zKBNH+^;Ybh)>AuL{N&=KIoxjVqfGH&B$sRpmXvwo`rd1#N;MEZ;sJ_%xKafB=5Rjn
z6)@e447C-!oqT>%wi*FweGYg$7dmnn^5i3d-NY*Rx(r7)P?N_|xY|Zxmw0OeGDciF
znhPS{y8keyo!j)I=JHg4>y_akwlnGsGwCsUpW0bo2IqgVT)=etb|yLILu>}-ydq&p
zfkqdDSJeHZnkfN;Xk&r1uBjDbZ=B*nQa_EKxjd%xsoaYOH!M9$lmbA%Xiw!Y_6hml
zA*ol=
zKCBl@T?@`LU5kp}<`OGL79M`$XnhnJR4xFQma~ZVs$>dNu7dg>Swg1sV!`F8;s$?-Qq4L9-(80{k~a;C(Xl$QYwyi{=kBPG@=x52@6zyHlV2PnJ`85x$jh>Z&74q(mNnSe6z=yY}(>g~gABvHD
zz@xsAC{_)ekUxwcQslLV@!Q(Bq*V
zoCIDkfhbmq9CU$0W0YcW*nyA;PU13JTRk1IStECvYq-K^f%kN7FX}2j^DJ^wkkXKZ
z9M9!Y4yNWDowZUD^B-j&;5ZFBDV#c6i6=WfNL3+!W(HDb8O0F4tH9#|c{x
zpjWJFiw(PmK4BHWBI11dX|P4~WxW~k8wB>&wB+-jEoMX_%|!ex(A+LtToMVWvG|S4
zcPTt_zzcwbtBgB0a+VL-3_GesuUI?mPJYtDb90+ul|6G4kzPLRtSGbto`Qz|H#Cu(
z5p`HIr#PnzVok{Iot3XT@BOU?;OP0q4|ui~R=xn+mhHEi`h>Fy`Yq?B@UKK;RhsMy
z<t&-;~N%csHf=jHWtsTVdLY3j|F~ET5B=0oJm~M)>ne4plC5y(X8W`djU>uWKao
zdc_bH!lnG%=(Th+;lvKOJWK;~3Hges%wR*lXpm=`Z@37Y((A>DDE3WKZBxMyqWH8h
z&(b7SF-7v9wJ%~jvVDpaZnNJH36too
zs*I2WvWCS=W2pHjb-`R3;EA$c`iRpJ}6wi((yloHM?KhD99(M!%N-DLOK~U8QC=K+MzGyjg#(ndO
z?&1Sk%WK02K24d8Su59zwEJD^xXI6WSHmhhdpuW%i$}8jLfV{%laV5(v1jG;Geo;j
zSznesHL@aA%oub10pnRQ_^khaFFVLD^3tc^RXx%Aj{c#aPS){@__+Mh4220`KK1u$DVs|d~u%44~-Odn(hC!v1+yy5{O|`K9dO?TG8nuTeofgO{&Q1s1&7sL;Fck(=Xt(Q&unTH1wqzvQh4KTE&fh066vw7H4g
zi7$^y5(gICcWt)k3&Vci9_UW-%dZeDkCv{V{`t}DI%P4uX<2kpC`^rEx)GR%`k*(4
z-|ETkS&1u-?>*-KDmds)X!_~f3-EWFj&<`Am)Ml)dK?hvPr1
z1)dieHN;LPf4i+xF#SUB2KSSKicdV8;(cf9yQZHKt}X`r>v0Pk76RfU%_rWy@Rqyw
z?(ezZ*U$BRv$t#V;&Bts{u%w;HKJ+YdqT(!UBeHq5q6ZN1Wh|hN_OV!YmT9byBN(1
z1rmF_V>?gx(5c~{rMlnBe@8n7?=hyWK_wtADyO*I?<0(Y<
zza3H+zRSvP4?ZF6`zRIdFrKJvq>lcnl$6*Xd+;Ca?&*IGJ{SLlA-d`J1riWq3up`5
zM2ArU;Mc$__wB-0#MzfZyH8#<^()-ie<=e&7rIq4i+@M-^TpFU+ys8aK+IfeqK8C_
zzW6yg_ZHEFLAWGbUXM?dYy-MhRx3%Xr;Ncpp@XOYCJQ(IA>Y(68PL@0D{?5}6o#3E
zKTma#x06?HI6rz7fyzJsuE&cZ8>Fw7C}isDT8v2+3LC8N%z2=68z)LgNfi85wfx35gPuY);LSUX-0xw-(i9=8wT7j
z@8pr-bSv|%eFpPKdgZK2=ackojZoE|>(ce@|
zc@2q}+~A3IMQ
zsihDY9?nmE<%_cHBGUVfV`m%E-~-|NkAyB4sMjV$oU{~ZGgJP20`S+mw|xN23Tjv#gw+g@An&Ra&YF03%xS06#0zSD<}OY2Ng
z_r6)+e1WsHhQVH*JYAo?SYy{!-HWcjY*EAp^)&CxQrFDU=PLNKQZTYsZurz^rX;`b
zRdxus=@tJGL7&
zbGgnhHb}s1)bOkO%jXT|(y#uW3wo21yA)gY
zQ!(tONRSN;(jEBV0MfMfv}FHEDYLY-f2UbKF>N{{wZ}KLH^X!1cRlAbPxzNsW_odl
zUrYRM!OfG-r`6kxqEimU$S3kbGI=
z&#CRb`(}!Q5S}#2xKO?K610p5T3;#@y{@@+#n(M;Ff>1`VtTjA!ylcw7iJygML=KX
zS9%QlBHy3U?);@ahFciFYI2e1u^IZwI6m*ndy`Cyu%FYC#`+x+Ah!?scQ4;oiMdzI
zCjocNz&z+G=QL|OF%)ovr?c!8uV}q|l4WPMSEsOk-l?7H*HbldmXAN_+{eRt;L|En
zBM6_er)F(zr%;L0MXg=K9U5Q4-2MtR+?F4Rj;Zc?Y8UZXQt6pF{@F_<;v?abW1{yh
z@Y;aKQ>CgddQi7D=-K^eUH=Vw=$w4sQ}@7lpc5X^HGbRYOWw&dTXuhjTE`5vR&#Y>L8N!3olio)k)1$A+$^X#n^ah?kH&o0D}TKLk<
z$_yKL8_^=(Gdb6K)nLTJuJ2ylpeBhPZ-9q`vUrLRq^5qcqRydB$+yARaWMC}X34RP
z5!f?tsm*4$Ao|2#He&0Md44W4xA4_C?xYDm_sa|@H2nLf9#
zZr@X3x)%QFhR=4tfQH=1#ocf3Z#_6bxbOmaj|3mz8xI3->HAOaSxod93~|o~@Qyt5
ztbY)ddbA7~qPmdFv85kHn0nF^Qigh~U9Wz`Od^H^YQ=I3gt)y!6)N!QU<&@}LJ_d$K_X_TLR=
z<;eJmKX3iG$kPgr$HUr?es{iSoG>^~D=-J9MludMdRO$l6QMKX3%@m$sglZ
zsJ=HA_K?ks?`Sv?`fz#tpN~${SDM
zUl;?zuIl@zdK;|#_mxBPCFk7M$MeJ^%t|k=nIdaHyn&WatUyQKm#O5{b(mDV*Q_i2
zeUicL6t=X2apVIWjJ3;^L;as#aTP7NS@l6+{=+-35t`54Kaad$WnP)s?C#=uqECaY
z1;1jKXq-RBd~*h)cWh?q7$WCi*I?z*>N|XYXSosed7jA;wDz^pKrcw)?VwQIvo;hr
z$zy&eIg|50A=-U;pV(3P#ZR}_rU%fFrQ)gf(m{@d!mlpTY|6qqJ3QaDA#0Kq3Z3(e
z&EjJ%9WmD=(fo`$Lnmv>$LG&J#3=Nx8zNL?7fi_GU$T1sEBT=Jam--+lSWh+9_Qqy
zJYd;8ecLfh|CE>aYPjLC_olRQliy6o1vdZxX3t8Q;=>`5o0Xqdd-b6=FSg8D*lGLl
ze>U9t^wDg_-`e{$*#@A09DJUVCh_LpXs+2)m&bg-G>b1q#rJwb!42yU&aW=JQ+;^b
zkEUpbZHrgox58uM<&;^+Jqq^cXzxAcMWV^A_78WZ7ds4
zc8q>VE>K;M#8BRQ%ecqtpf>h|Hv1W4ialJelk3lT+Fwd#J-it+{2y~LVbUq}t3%nH
z$J3##kcm&&NAS1127A!~bVE*Xv3io*%7G9yhs*X}h!YCp|7#;OAV`2XDo`yFNdk@B-B#
zq0TQ(n@v<-lG-YC->=KL^7pzoU36sTmZ!QNfV18UNhuno5CF*@byKcS3&A`k9?jV2!6lk}B>KPta5u=1bX
zt1ot02fq)h-`_pG!*9CuUFFDXaSAxx1ptp!0SO~Dh{EjT0x=CPV_oC?YSB1LOgnUW
z_SKSUrV%L->$2^gmtvex(|Y%M#WEM;t0T$vX4NY7RMcAoXBgC)hEL{~5s&h-s}avs
zR!Pf8jnvrX4L6@`ZF0!aPv6*7fPFdF>e(0Ae93#$rH-9TFkUaRmU+)VxqW5V;hXb=
z=-=N~f-Zk`l<@m&p@I==ay)M7BI`NYsm8!2c}gYE&PICYrOJe@et36zw)1YLeI3^|
zuYgy_)D~#=b$({<)6uf_&E5w0q{$v3
z8Hc>nEuG?u#*{lk%rN@uG-akFUEt7ejQ#tbPj)`$
zOE&R~esFX3tq;TUZ4@Va1xw7W3`6;5I$IkxcsvpBOy+}-3vtU
z*UFC>XpC|HLuei4bFK)QtTk=6Xn+5hnKqu{M{DSP9UmTLoBkRxYJBFDFTd4u*zduC
z9H01hdzObi1)5@gj|(@^Ng6gjOdS06>+LLW-y_Vk7JcDqwJ*V$s%UCV;kho4K1Y;n
z$oy}YfV)Ecs#Eq>Ln`wdBRdaK?v{ji0mr@UTf;}Rb#=hf;H{Z|yitRuiiv88bC;F8
z+TG)SS_!z`d_Dg}`-a$u!B6qur~i0pvg>4gqCEZkr}YF+B(MEfgwc!#Rr4)UInyyy
z$s*gd2DLnUi_A}<@5BbT|Fk0ICW^RV;ed$3-;mCT
z>sYws<8=Vp^4PG1aR1PJUuSFhb^A@HE57gFBCqiZdz`_T^t{ID1M2QD^~>P
z1g@bd%nIAty7;Kq#U0&nv*n?cyl6$Pl?r>(iR)MAPItKGdVVy==0!V{)*dta&~iOy
zac|=SETU_Hm>cvl@3Xj3MsdP^hsZS&>&fpDtAjYbO%MY^(>tKZ3Dr;L3UUK&CnT|v@
z=HVWPFa*w)_CZ!u25+IZL&;*-tCXx^k*}LL1jsqiLHv^pHWa{Vyji7cn8Cq|WMv7;
zD7yi>9{AueYn$XlRW6~vjx5)EiL~y&GF$%p
zx6d66KcVyJZ23OpabwqX?nyHLp2TV3$$NK&e)uRnLGxgtE%$LRoFgK=4gBeM{w!0;
zggaEl)kS1LPqD`F1l2d*yF3_4SLlz(x!AtYAv-%jOySCYcIpB~Zg1d$aC?45H~cUE
zlOdZIw~nuHE^|sd^*KltifhR)&SOePo@9*HZgZ~g-gFs*z50VY6AU^L+1{Pf|6SZ11`MdWj_r-&1IYS@izmBhp
zogynUdAzN|CU4;5%(;3rl0MYEVZYbX#^2BP`|c
z??o=H@Cm5e0ZTX3lLtfw$ypx^>3+>LZd?3OM0Q=WvfTA^(u*uKU0&ub!wwCDSlfl(
z*#9etJO>W_UxG*-enr>8*2>;gn6yQ?SzA?Krsn?=M7GxuIE4Hgw1(PiM-p|sdJ3Pa
z)s0bQ!WJPOn*I~T|6dUKu)&-|$CXs>DZNCeT4!5S#1^n@lJ%oAM)wO>2b<3JW*oD8
ztZZ6iA))UpeoKxlrZ_q*!{y{LU19jho_Q~_cE07xgPpGiZ><&_~1T)3m5By#Ml3#-Bg?llMSW^-veO`s_#$`R3lm
ziT~o>|M=>nGcEP<#lOG1+OLn7+3COe;xk|L>B!oURzX>OCxc4l)mdXD;rGaQs74M@
zG8HXs2ciD>+RB!SN%g2oPMXuL#dLzSg?Xvz6>jQB6FY`xXN*XbH}oU4-A
zWzfqxN*T`Bo4Okf%lRU|OBOSbP0;0Jhzyrk*2(ij%SEpG%hf5m77DdlUV(caSsIvY
zKE=V0FJa0=OhMrLvjo*6%PyHzFIVvIyIaYgN#q7&+qE$VNd$n^``&FTI#g7un~Co%NpAL1lx+<&>Ws>
z@iM_ZS^F3AsDCpaDfJ0@D!lEWmNo8-2Uj5Z3}~+nmY3_1?WOH%Uw@m&vO4exODwU;S6_Ob`O~j`T5O*
zLk?O!ffa+jT=~WQZ^&SBUh3djNhP?Y`7ZO-M?mP^apu3&`M8T7nEyx9UB)%_{(S&H
zOEyMqbThhPq_o=@4HAMNp_B-UNU4DFTgnJ^gtSPv5&|OSHbP2DR7yoe1w{oDlY9RM
z_w&8Zlb!8c*SWr*&s$=2c>mBWLeiwt7ees*Z6%fIrJO_T=)Y5gjzSwcQy@Z+5k+$>|hLk;lIl{LqsPX*_p{DujZNOEDa5xhw*`
zr>oAzJl9ZCjl)BA0Y$k^p+jW}6@)oe4lOUr$^U|KBmV<=PSD=CzoPyVW=h`NjDRpz{eW-0
z?__4Rs>V;^#;S{^kN>Ff+7A}qgy(!TBP0;c7@T=ZXcmrKYqStrK_T{Xy1CHvo`dH+I8w99dg#z;&
zexQ5x8iX^XV7(&%dio>
zU$vK!qNWoCHx(f$&$Z!<7))8x+EkVo%D9im(7C%13gz
z3KjicEr9V_N8D&kr%W?P_DrP5W5fc??BLCnclDU5MvMRQU*A^4=m52$2<;0@gf)7U
z$LXcfzEZK%z>pv{M8~)_^maz0j`rA`wPX(_+YcI`ns~_c{$a|VKyvE?OSN%wbIvO2wfrN
zx{t(`kbYHXTODzg*B07k$i6t1g0$GW(s-YrJffHm0BZP9xbOlVWd;B`njD1ckx!zf
z5h8mM}(^nABR9u#zL_Jlpl@;-j>1O>H6Jn$DDq
zxy*1s-sTrS48&0bn$WNZx37(;wT1twM>P7K8rnnam^!K7Gl$XuC9X@XuW#C1Powgu
zj5da}SHdw~E}AnaLONIh@?^-iE+ARo*@BgLn40Fx#$WR9x^6eJGoTdyqIIs2uImX0
ze)=333Fd>%ajXMfI>X~n8Hw%^@u)NUoi$)Fqp@kygC8>_HEPBUfUE^z;okMclZF>3
zGpMQ)pL2~8?SAe%;liZZ&QQ97uLRsWaVFGQx7jz-8>Wb(AW2xRNOkh&*R?PF*4y~P
z^ixN%A(WJSp|&(db9Z(MDbZ`W#uGmF0c5zSdZ+rE+z+=>5gR3ygBt|l@^ZSWPbk81
z^asB3FvIORb`n@13w#s|d+JhD)W2uSKlr-+K25WWVqGx9Xp7Rh>EutXp3;8_Pxa%0UILEMD7s2-1w9&Mkw4SX4iBp
zb|=hR6Lyu}UW8C!4soWCP&gwFY8RIx;C009ZL$gNKTN!a1Q%xJ2~+km{p|RkxQUp^
zLMU=R=7kbWwU#eq6?q$Xu;CCIA3_$}u@)4Q;QN7*vJ=^8r^waodmTb=*2!eT0fiap
z`8fVtts#Y;aKjL|f}yI>U3@r5bzB2O+@?sz>jQYeqL87cR{3EVflDFwU`iU_
zPGW{RI{$3+)xBi&)ngZwmC_5-f_kb=ECEOw8(gf3#sQEggJ5mofIp3PdQ{`ib>F{f
zGDpt9;PL#ZS}L!d3|QrhM8jSeSbsVbC{Xy{!TEEtUQkCC`XZ1qB89}^(ACKqFNhwm
z&MF*%!2kdOpf4Xq0KL2%A^>o3=pfvs$vody)${v}&)?Z6vQL5`9Dm5CJze!xdXy)m
z^v5{O_={!^8{!Y9?b7P19sU&B9(tnT*m+I~WAkGdUFr{s
z+P(^~Exzp<{dUCWN1;>Ed
z0LQ(V6Veuvn6VHM@Rm>!x+EjwA*Fn7jK8P1n
z%>jLhjcoTsTvZ1HEZBT4M(VL8vFOYnGu76!hVcpdy>xhYvRNjQbOl*-*Qm(5jTRf>
zwG$uhfxZNdhc_Vs=Ry8tPx$v?K$#8o*iMwCurB#tmuFrkA1<*iw-awa@pv!c_`sr$
za<+CjsBqz)g5`EtmjChcXqcU+a*~Bh2>@uv0l)5n%w{qp(tY2JV$QTX6h`ZNcq>`?
zltHP=3H}5>=OZm+#s8x1t(XUA*F9X%xipLLfkR=WRgf`H3d2<#PV+tICjyZvx8027
zPgS(_E(-RBNohJx-0>3$g}b7?QHE9Umwdd|SAQ}ElZrY1q_UcR!A-g9p19-gdI9ET
z(Y+0HmnO{7)5qpVDmtpVD(pWs?J%Ng^(nf7s
zBzB!1fE5kN*wAzftE~57RHvS+JhlTpbD~a&&}h6=?|8ii)>azf*igVPU({2gnPM1D
zt(R$I5!$nlc{SE9p|6ZbrS>GcrPwvgG<`4xMRYU(uhrtTmCA~7AHL{(_~zSvxlxqh
zf1p<0C1>xKKZWZbn;&*e!{@L*Y>yZQ>O%4+5&P1JHx~
zsYH(8l-d=MHe@jw3RbGRT_5vl{HR!Ug~77O=81X}D`j%@$+lOSy2}pMC+fO~kG%G)
zEB9;G;|Sctqy4lom$o5}Z0p&G_{5CX$HnKiz8D7wGK|l6rdQnlCaH7V{vy?-^&6>j
zP`land^esW2nF$hpN0u=_|JIq1z_P|C3qMb9vTvL>-t@#wmAC9rg;9+3%w0(XWeq>
z_I;)z?-w)c8@(2^o2}p76XR55y}#nPT_;$9l{tZX~550UgCrbJ@
z&>MYzqR&XG4zMEFFg=!#A`9B~{${lk4lNzaXqjOF-m{hu0QRkd@U77O1yv{v-w3-G
z@h3iM-?@EwA6t!Z-mr&EVCA&S{m&?o30Dz0v$J&H3T#F7pZ9m_PIM6iMW8`^`Y=Q)
zo6njB^TooVEzzRA$RE7?B@1e~4Z(-N%&qI*i?Su+@0ijppjI|2a$H@^FoRDcPo!2I
z)N-IH5Y^OeZEn}tI3%FtzT%0TcS2j2S24R?&$J>hpmq`SsAN4EKeBzZ@JC5*6DfWt<=3qbotvR1G#2luSQhG;QqQnEm!n2A5
zuY$}AFN(@~kB{8BV^ziDrXDS`u8BGOJE|s#j8d&f+k+~F_Bl#-C1zyBEeA9*U}Hi`
zW4m8db|dPH8spDKA(}k}ZnBV%{ZRlKVHwiF(nQM@n|NZYJmO$d%v-)8H?r4!X?7q|`pB>+<3|!j;{(W2&OCyVbLX?d~xjQHwDGteItxu
zA~tEtgt+Ljt~vim#SPK>NjAf0-MPieA}O$TTVCPrpF3znyB!AvQxIVGqj;vITL`?E
z&HK(T-L?wn^Gvee$6tm+Khs3JY-I3xA?9PyhXKI49QMjQXHHh}=B=p;J#I)RgX!AO
zb!)${cM+3+AvzI@{tp05c|Rg~SmY{SS9zC3@fMf;yzd+?m5IzuyPgsWAkQr
zy=Uq+IO53+YkgF8r)ll%{fidQj-)=*O}zCn&_i3GSKv3ssB!SX$$LdGz#$##);cXZ
zfp$eF1>heiVG(}0@N(Yq_x1uxi6el4MPSiGZ=RuMCobt-7x+26UbC8V5jXXIwMrz`
z=rTp;8OCPc1D^bO7
zl;QY|2dYR%#vN~Co_DYaxQ91)ZaCJ=U6k16QKCo93
zdj^YcCujP5ZkXAkc_8pBLH^rV^1hF+^k?51gg#6Dh$)LzKwI_VzRp->4CV)gy$N52
zQPT3aK%4Ld2QsW&3wjuRyac@ldFd(A7A*hk@dvxNt}*W_e{asF-4V2nTKhAsAOF(o
z542Ao4bnp^ovC@89{Z!w;ddYUiqIlNiC^^B3&+byJ#ywh=PiksHxF9erD)BM*oyz*
z7pr&a^5Co37^pIC9E=kHTmt!?A+|iwL2FIW^<@hl4puY9guUd0{fE9Sh1lru^gzR&
zEG|jidUaJMEN~%O{?Es}l%3|Lhs2(1I)6mOudO(KLxL$Q_+|9cynBT%9KIJ743r}+
zqtUts==DsB`1I(-KdB*(^BNEG6^;%Qr&k>eKP?Fan*QSAXW14#(BDVCfGJRDS?&F$
z#1h~OuX{S5^?v_01aq#W<{v!54b1mOX{%Ub@Yo{+L{v
zvR5pOHE5|aXfHm1&Jpl;{qK_y<~eu=eB&|NW4kX-7CsN>i-C2D9>8?=xdCLRr^#i5XUrq6jj%&e0eTbNJE
z&2K9{)l8h0sDCJbo2OmlUd7_jXIY7`?05VafjJg(ihY>8IthRPwuU}fP=SOX3j#Vw
zd0XfxdY^5BH0JnJ
zp+u7pCTiFvU*DT6mlW=q#nAZ4xv3I1fHF-?z*r
z3)cAvu^qE}CjRd6;qV~&wOe<~#uJ1%g=M3aS_=v%S~>bXtsLrBKpfQyFtTH&^NI40
zV2?s&Fv9!)u)zEk<>at_VYOT*<=sB+X4gu@^5y{O+}7B{nUkO;%*
z$5b#r3N5Kr3@OZdZ(7me0G^!BOh!%mCQjS?RVz=4#6D9^=i5>ue&y;s4RG&j8rQyf3g<)X8C?@FT-aF4GL{QFJ6!MJ4$s@ms}pVg7UTEt$qSDn&|yI+|LSoS2Ii
z#j7T#+LSLcrCh6K?XX?)GRJIum56sNOk@Lbb&YKf);qwl8=aMdUX_}4sp%^PDi^~?
zBwy&}Gc&C0K%?kc6|T3k5gjKzTOQ@Tk11>cbSvf2db~F`y)mhapNdBg^__e1EkROc
z-zV?wO4DQ2(U0L3!v#IMl?y3C6x#=$i#la%$itMv7-I|8&kU-gr;U&nV|`5iE23
z=E5&%0^_SWG!0R4II$AVP+!-hO8=5W4B-t;K_Ns$+mK$263bMoTFC(j_yFHU%f0zX
z$9qk_@HA329GJ;EzLFhtNGdyp@bTic^hGz5y9O5AX0ozUB{aL!k(NwGOu9PB*D9g+
zCxs%d*2aE$)@RGOUsc(&3s+V9sc6c5hdgDCR2h4ccf?*Z1rEwUT=dV@F$ooze-z%{
z4guT{P^6TFYIa1|fLLU;&)1R&{WH#`YdatJv%}mp2^J69W;FBIJ>gEN^=Z@gp6ADu
z>3Fe@0^^}$)C7~3)BK~CdP#3@igmbmNkwLAX~|NfydS(y
zAJ-a_a~39~HLG-m94=$3J9M)z`xEQSetr&Z$#Bg1e#;=npz)Q;gi)u_n@^>iLz=Ad
zbd2c%y0Pv~n55n2SV4_*p6Wd=hJ|D3sp{BWSRu=!*Ffm7YVxl+Ib6S*{=qg;2h1$e
zla^YY`Z(ji!xK^77x$IK{%xr;w1{3j&?DlsgXYzeF~4{G0MpQ6#mG=Nv001T0KT33
zX^SaDNPm*o0ox~&QfhzQ(hvL7$HuMG=H;E7BDrxJ`1-
zH{JIv<%>*>9L{#C-HH_Vdzt^V?>i|I&^Rw5X8SN@{GsbXu1LPYMog$udWNY^*z(J*
ze4o{e%w&k&^Dh$Jec23^3-3)vr=Fu)&Mg*G)C7W{Uyk+S$D#6`A+U@5s?CCz4u>sR
zhKdv<=MCq*Of6_y-D7gGRim;*vx+Mx&eYi75(#o2K!u3@NWP;ibUi#dt6NA>Rof4s
z;m!6aEZJV|(FRLY4*1nLj%pmvtP6?&fGsgO!by+&qdLopgA-$(d`Mzy3|K1A=>L(OO4I#k(a4MQPqrQLn6PIT(5Bw
z#MC8!M&~$fzISNZ-2-QHN)*))G;-0SW)^`84X;MGF^Re-OBg!-o$N4wtMW0#)ma1nsADB_1H7zHV<>-E1z@teymH(>da1;#G}-$Q0d|b
z-46M!s~y%h?03|=Fru{HxNLPazu(MFJxtBPz;XM1pH5$#kZ@C|KPSB(F;T=7t3OA2
zzbV07DP+_20X5Npg~_MA=Fzy1TJ^`?Za6$=oa^9wT8}#Vl66lrMUi8py
z^r!Xh-v39OJbv}H8y{QvNE#~`Q4+;(fe?j(qeD-tivn0MfxPdAWv+?z^|MClH^bBa
znD4LBG3jN>HQ&S40sIq*m01voVYw~9vJ}cQ4KYXPB{Oj}1`sCp{$vFJImCQ#$9Gj`)#Bm3!v4!`{t%3$%RwRSMq%&@6(<
z)Xa6~p<>-2c^r|>0v)<1iOcD`PeI*vV&dd*f0NUfMF*>?qV>^DKP*syozlL(Ow-8*
zi*{1oE>#yzlh!0d%sGM!REbt&VgkbJB-LWu2%8{o5vDr5#D!WTNCL=$yWf-6#dYTg81pwgLUJGO<2H_qhMPG$7rEHw5L?JOLULI4Bn?cK*ew}Sp#Zlh%jQ9*E7Cy&jDaU4s1g|
zS}=*-RvNOUQqo!G*@7JNo_LVJNSl2UscLTp+Z)FrGG&qf_>n1j=;8{;*UH=sb~i59
zwk`ysj)P!5X*7Y$4I!8JX);@7FhQ-w?88~Bb}e-oPA$@{>3Nyw#t4}{jg1wA?>)D&
zlUuH%)p9z@vq@d&lbBhq1EsvR)~GaK-gOj#$toZBjn*#vTKhafk{MyW98RiQQIl=v
z90`4pPq}k0W)K9T^;+`-=8(Df{CEJG1du;jAa1H^-E#MrhH_R%ilQy@
zm!(b>N*r2)ADzJ(qR>|-Z|)HVWD93>A5Cgj;N&xL@;aW>Etm9lF`a4hy*zT>yXL8h
z^}a%<_Nxnh8vaHAqG`Z_c?5@0Uznm3uKp}G80u*O45>fFm~%x3UL~12bs&#MxIn**
zUcK;e7R-7GA-i`wRE|L?^XhuGGGP5IMfr!|*f3$cu>d?wL_ifd>NP(S4sMYswb7$0{iey5Y}$?(eWh!cDwH
zGuitWr$H&wk!*Jwz@U}W-B{+R5|6rMC)Ku(`l`+X8AO$o&^T#%K*dmk&VmL+8%Z5x`I0$Ia7-V))}7}6}z
z5G@2XB|(?ZIh_=kewQhSsktU=Z4P-!4(yacd?1`Iu1Eowl!2u^e?2x!dJN(W3R@w<
z3aL{T=?ht6xETPErcpS!oy<0MRG@ZONM=T&SjfS5D=u)`7htcggy;
zgLgzq&t3>h3%R}4Tk5;RNEJl{jq(m&>4poIC01t9J209FQ#Qn5GS@aVooYfZI^a`i
zykMorguLsAMbDP&retkf*|iz2?6iB+c7s=+WhzLDUQIJSEh@KQpJ=tODnX6WJet2-Z
z(E?d=lr~r#COiNIb{k(hjlZ1f|7{w2$V(h^z$+M8k^Zbj;_CPw%4gAZ3N>M!?#!X%
z&EZT+n
z#EJ#^Lp1!i_Ckva{hJ-q>A5W6d|hohW2Q*f=5>xL@}m~i8;$Ud0&A_(tZH8u{mlAJ
zD={&r;-nxpeH2w&&WBS}b2P-n9$~ydhD7BMLnHrFCLafr$vL_8_USK{Bbp7nfAR8u
zKaZ~4zrsQn-`peSVBN6e(l@+b=d5;lu#|Zcqsk0O-5l(CmT7KIonqK20B=4#wzDdP
z;8|rqm+x!tf^}EH(%r1^F`?sG!9qWCi~1w?3SaDX$s8GRx-OdfAl9sYsnNCH^EJ}q
zb7Gz(o;M7P0bB^}R0~hd>VT?6V$(}NdGUz&i!n>}`L}W=wiVN0yf6rcT8gI2e
zHhqaX6USVddbqoE;%PZEUEPFfmJTiiz#fSA4p)O;87liVFO~0r7Nzs8GWz~(B`HkG
zr6K5?lgnoj7@u@u$B&Moul7W8uY)~5t9fk2P!m`I3KD_|y-->~Qsux@40Ch`c^2{3
zepmoTcF3gSHhS|sAvtCUEx=Uv{t|FrK>X+z^_xc@lN_#Gj-!R8v!1wew@8Mb6zSDF
zSX+;5_7}}KYF6+ZM9(;o{eJ0^^Jn#RgXGxzf48R1d`Oi^E$K^oNAOP9l3uai4f+d5
zgr%oWT3?^}%Id-z`sYBl0d%1)g`Jq~M8gHnsojX6u;7%C&FJG_J69=}mV1!r#P4!P
z9ScyVd*2k0_u5C#+#b>Mxbdai>UivmYl#<#Vat0zM>QCg-Y|Tf>2C`}>B;C5Q4cb)
zar#QD1By}8M~i3n6k>MzqPEWLpF9&^Eu|~a>)j-|g;Bn6e;opui=|YLfECSNFOrN<
z?S%&c#=%j4N-M*1W~U!LEecQ|<^UKA%n5moBvrfFT+O(foL>9b&we&%?iSyR%xfR1
z^Uo%3{ZTpA5NzYPJN2F+0<{5{KkZH+{Lfucm;;yXCs#{Q($bPyDd!r$f2({eV%g2`{C@y}%)qgQ#(%cP^(@81p76$t?jEIF;^}_DFE;M9mX_P}OnGp35
z$P@heJ(mD+er1+
z$KL){)>@vQ0O6sK%g0#
zHd$zNeC~fhg5=S}`D
z&I$sp0fhj$y{+zPq3>Kf%(I#)4CpP--8%V0|9PLnQ!rL5_qYUaFH^QjZFPOR$6$gY
zHnW`@mF*pcmD6)f;vX1C3tc6eZ)25g4!&XjOn?iJhfm$@zUSm1a2Sw*rLDVKy$Q^h
zi~aKP!|#31I(;vT-b6|zzZs%j*R~Pebt~LwY^GTWb-`%5Bmqn?x%wgJ5oU1oiQMZo
z&cRk|>2In5SMzE^x%CH@Ausc_ynFoHs1hGe4=Ww_j!pPrhNU94yF-o+2_BatqeQw`
zc7h-fmCq=ujiSLMg8?-qg|A4_Xw}Xl$NGj@u3jhGdqRtjHbVHPZgb#a&Za{W5{SpV
z){UcIC6y8eH-|z}_!YO2o37oXdB9seH0Koh
zir7I3U)|%6uKUZtXT9qfvv66!Y?TDW~T=Os;jQPVW~CwlkU6k#Y0OmQ8I*%Riqlz
zlc=v&upa6xpZ}LXyD6rY164c&#yct8_SBRGj;;*D<-F;$H^m7;vLS7Bqaxi7L94Ci
zIF^GY)~>`QV#n^ELPT-s7sD=sa9-&eQqM1#iniCd!5Na9NyiObv|kHvc5yW=r`_>yH!)GA78JDiCb-U0Ylt6d6lPVsZ=xd0245u
zpVGy^ZRsCp?y{n5XBp{JK1{E8Nxy~u=r&ruPfk_FuU6V43d*+oh|m4?_-O!F!4*`C
z!7=Ubmf!o}7_9x8k7)EG@Qa7Q#T}R^zkCFf{dehB-dl=`ULg&@-`JR=PuNF;+@8Ra9o1%cMlll$&@?o!|1O7z&C-=bqwAur7Eo3
z>=?FEghIinqd{mB$>#OdLrat`n*r1xiGT3d=t7H-X%RPhJ(I`!hD&KNL{a6K
z%n~foz-^`y3yU8?HODdTG+#BFcbRt?(j0UCe$2b${8PdVLBN*fC=ePV4s^t!14lvO
z11^Go2nZkV<(AF~R;VF><=flurX>2Vfnkt}xf0xgMfpWlpUxSnRwd=+j5LS7AJFKb
zRnsICM1@OOXnUX)obi`9E{g~+@|97MYP;|PCd|G3=h#V{WfK%I<3RKTs1p6#!^Y1g
z1^wj6e15#ss%z;vVejtT{1+kiaHzqkt&gO@3oG6Y4lS++~U0-fa=F$@Yf1qO6@FrTx@)1
za57b>XaQylLc0QNVSZ=Bhfe!*VEW*4q0r?M>Xx*LF59YGNuHFFsCcvo03@Hks23Bi
zBV{FmIX>>GNjOup
z1?PpE)HNT!;^yCp7QR7KH`&Sbh@y%nc=C2IplmpVY<-qzipsd?IAGpI{c$ra^~#}F
z4Hu~g$B9bS&oE4?E6@N!)(73L{!Je06Hh*HTzD>=E=7~RALX9?j1?l@+DLDyEE2nV
z9CbVhJ&K^{0$bb9X$Wb+_u^=SaM=H9(qaYAPn5jZJ()gPG<4@OGW2;|)WeQY_bxKY
zX%KKUyAb=76tW@+#6jRIA*VR?mnoZZAsVU+kU|TjSa~_J=tfHw-_G7J;jAG-8K)!^
zKl9?IFDmx!jpZx6t+tq)gPX|muP5KteO_!`If-VnA<7$fq1K*^nvRz<>tjcey5*~~
zD|n79iy*I{z3u^&!z5mi`4*thCS4-jX9n#T0sw)d_%4ZZ^`H7jE<^vrfP`-@ydW6u
zP}ArfBcWF%1BsW=7akpctKkI^CarE)oL=pUbUH3ae|Vf;8YUzZLY|Qx;4QJR$NgX5
zl#bp0Bzyj`N}l;B7GcQeE3YbX{32q^`RcP^EJZgG36Y($8Mm0PKw58GJTJ)yiLA;F
zr`WG~%zM(oVj&QTyUD|%Ze+n^8RU$Of-ag%L&=3eGC%#W+tajFRBa9IIiKfrMhrw2
z_7#64w8&WUx{sn2f&s7Og!}Us=(EG2WPo=SbJ?6PZ~A}O9?g6SPdrtMqagPA0}#1Y
zph9KuWs@~Rtgo~EE3n#4Vo~_I0R{Dw?^WIyNdoA$0KkoAB?lwFdvrDRHW)zjEF{K(
zJ0c4nsCq$C-Y55dxgEB2#>#$e!FnP#TGzc!f%~0C_4esDk
z=y|)KJgN1Q|%#afx
zYdJ%)9+SN^eRTsNY-BHDA*?A+QU&nJ2&!g^1Q5fqmy-%mqKgKRWLw9*RiB!;`#*o^KQ{(!pv(3nx&bf9@gNg*`bZh!ody1qbho`S)Y;&+%T%Qzjr?i^)
z63mmLdW3Y$JxKMS5xUv8`Vs5eV$`^HC8@=ENNQf?m=d)66eqrB-OhX=lt`+dR|R;*
zvdPYVd4k~^K9Vtehpygp!A=H6C#4^7uMYk*FYw(#^ZT*Vzpu9tkxmkD-`XLW(OE((
zm^ef64Jin_ElX5YCAq2Z;pw_j+}UV~P!_-NmZP^^q$ICy$o#MjmLfGt5!*$9A0G?u
zI9xKj8VE!>_Ndz{(36QZLg2KJR25h{KgkW`0%j|$hbzOmY73xs^kK)C%QDS5b@oqY
zYdFQcC(_Cd$hk!3Tf;+r&f^;Di1SbEWjs0WZvbd&%DCDN
zeNm$PUGbtdaAczh*TCeU01nz@*a*Zfj-RIaXg%6~ol9)UacN-we1tLamx%&l5kq!l
z`{NhD>i!U-2}stw(oo9IFiwpaLxy(a&-|ju4RI&Z#|1}ggx3rH4uvO;aAcFm+R_Oi
zFk5y$DAauDLR5Khz#L&!twSsqWwCkFRv>MF?&vU7ezsmPoglXXS_di{EJ)_hs2Wf(
zFXEskM$;v4+W9NoQIl1W8BV)!2gaTi2>?%hp$1
zSI7bpK+2sK9I*~IFR;971AUl0DUO$X*SbFWElX+?1US8yN+zR|U?2<1&%q@T?z|q6<5WpHhpc(JA%NySRKtttzU6ZFk{heScsA7M3*0
zml8zru%xRe!S%AZa_H4>5!0qA^cbRx^S0KMwu|}4=02D<$vOjd?*MJ+*7G@grjfIE
zcO#;nT^yvAxZt3WOkK|cKXHJ>{UWM&uu(}dsB%YzQLe^3r>r{1d1g=GVaT-Pg|#mh
zu{_4Io}A&CN)HXva%p~JC-t5hq4~@xgArEm$kjj6s!u{(>92)hN;$GTJ?Q$Po!szn
zEZ^qs5(E4cYQ<4FNrz|xA$Gg8SPylk#Pa=|P+66H!v;w*z0b~uo48Q~*^0~GV@W|7
zF`uCyl}D>~8&t0YF&5FPo6WMsEBC)&{%A{|5sP$>coLeLbxT5q@Lin*ytV#CT>t_6
zPPvMz1>f?EPIoF3XR?ULG9}h0?T}i)3UT);m2aCY<4KZSjahELWk**1ZRV=Vb6Lku
zr}rQJXY>%cpPpSiyq6v0C!X^;l`GNuVsjHTJUgx)^4Py}kNH$txXa{0{z`Ct{DW=!
zIHr#iSgC+bCZ`J!F6;`A%;TK@J~+}Ho7;DKVCuH?qoM77sKpiChm4Gs215M`SBou7
z4B^_BmcCLZDL^5o#SHymscFKNB=!eL0l6&+3gzs4M7xU8ru2_T
ztnv=fkNOif4U}T?})%GU20-T%k0j6(}uu8|Gjv*z~ozZ
zn_XlPbsO^bMwjH@VFqQ=uPU+$y7QkS`qTH{n%8zKZD2*&d;DliQp}^=;F#
zZA+x`-I9(>rWNEh*q;+T`C;v>CU+1H#zLuTSdP(8L%@Xg^AgFRkZv%!Loin+b&l8v
zL7zlU3(|&Ys!K
z-38Cka;C;tF3j+~9qIYTGoD{hka43Z$enRG|KOSYjP<@5
zJ?l|q3|v93LNDe)<5*_vJuPAs_wn$a$RCR1QzMWFJ6gnruAy3Gm)HLO6#Pk;iDlJg
zFH3Zc$k{=;?@nnH4#t2)A0uQDM7vjxf0(+6{v=)4sf5Q_oPYeP^XO!MvqB%+MuB8B
z@YPOJUm@a=L<~rJbxh1>qy^yDM_on5SI1mCH%OAKw4iJBPh8yiM(Fn1{NUkxg;Tsy
zP$;Bg*+js;p4N18__in#{NIh}yIi|gs-b`G!UeEmGvQi9`T>TA=8{2*qj^=*uttBS
z-4I90={>=mb3+a)zYhA!U16uBkqS+3T`q~fnYjL#O1}S<_g`2i&RtaUJGW7*-b&T<
zC&-m=b|7~5@?D4Xjunlb*X-8a^!C&L>JDcpfuse9
zNk?^0K=2CesPl>(%nG}H$XOIkkedfp+_0$5{c&tH(w{d>BvXz@~BU>QX~*$FRwJx+*c-IopHDPboF%VKWY8N=n-iXO2?bE8Y>b?cMbjgx!rub
z3Ed?!*kODnb3L{lppwJw8+E3F1#7})EW7p@_ed0n;)O1LPVH<w4Ndz1U+XuvB&2#6icu{dCa4Z_0|&P?;ty`*L1n
zYp>l5Qi}-=cKxl_C)@L5Lf*Z#|LC6<+d7$1evu6_l~W*eA!GmE_>HPB1e1-H6-ikW
zFtCAQ)@zawyIO^2F5!I-AL;cF(~56@?MfphnA(Atro&dA7H<=9h@uHas50~DFk{fS
zbPS6%R(oOn_`U4F{qYNh<^!T@=65;w92J4DOWvwf*5(^m8uf&GZ@KHf>z%HT@BdZ%
zVVxKkned;b2%;}xET^xYAdaT+p|9(WX6dew)wWfEzEL|~ak3(bChzu;`?ttAQTE7k
z*ZX@f6|P09>_HWW2oeH>i_ggNqf|W~yEjh=amUl_oc5`&JpJO|D`+RRUUH8M=pC>Y
zIRzbg0fs4DVco}$7-(Fx6TqDk=rf6-3SfH@m$^S*5)_g{8w2?;7Br2*9^(xTn(cMp
zC+n*T<6-dmt=u0~5k@x4|4ywBY+rP}S(rvMuNl!^e7&Z0cBXPTd}i
zEU6b86Gw~=(IMHuB`P6giCd14X{RhHhfoURWF+igRz2Svr`=E!)%+#!7CE7NBZJk
zMPnDOW%;wgGbp^CYrx#rl_s3Nk4mWPHWSimvR2|7ap>v5jq~R|W`fKQRC=ke=Tac2
z-!3u|4w#Wl?soSd%WI*KpZBHr%JYCn2+eS$(EJ@sMaXa|gv+li6}L*3NVZ}Mx$(fK1qu`E~aKIY{l84
za4Ok@p$CtrW+4nsm_3}lK;B2nY;qpBelXj(M-gD69Z>ba_j}jGa
zU#WVsA)?$wKNY06Z)2uP$T0Fo)J*oT$%8fTC(l1wI_Z@ZKWpziCsDQEqd2Smd-s=k
zgEF6l1OvmV>qsUdU*`tz1AahZG
zD8c{gidHc;{FdGusaKkspc$%={YMD-iiuM%;@R=BZ}m&3Im1t07hp~nsppO7O24_9
zx2zR>Z)sjd#my%dF)`|Mt3#T$WKHX#+!-3R{he_KZHM2I3Kzkg%?Ru1@$Yd-drei!GIe+jez1;YIe;Xvftvz8Wv0VmlH(q|4FR@rYl
z&i&9IKW(Gd;@@Ky@fe8cg-DhgIt*LBv!Y%bf~28uO9~~9?Uak)MnL6K*On0q8*!QAgj*7w
zWJZf>WifRo6cvUi%CbCLC{6?w7Y-u2L*@3h(W@#XfmKX)VeTIgJJ5}u-Jxus19Mp?
znL0x-E^MfpT&Pw8o(%_DDa-3h!tI(PYL_7ZR~m{D3qls$o`=^LHu?hQOTW!4(}@D>
z5_&-kuZ{drhS$-+%>}B$N^6=;HvzRTYA=@{pbD?z?T_F;2{k=;hIqGs`i-yEp#sP5
z;NwNqf1H0M-CnNwAqw`5I
zq2~L$wi8;}bi4o&VdNi^oe{$oEH`R0pR6$ON+!%R4H=reFxh_STF6k1a~A7!?uVq~
z?(>`brR--_k&{l~&Hp3oKA)QS!*+ph3IRfZgoGj}CiE`7NlEBcx>Pmvs#2A15_&Hp
zy@Xyxnn)89njjWL1Qb+2I--E6;7{f7oHu8lIsd@E*xA|Hd%xFxeIjzPFGx&Z+~Roh
z^kkJr2*}gj$G3a3Ov5N|p~8{mvsOQZ02+?#iENqS5;n)GE4#W4nAefzI{&}Y}mmo)WqZ1OvofbTMQDqeH-R@
zvt=&>BrsP$uMx{;_V~b85Q_QKJaK_f{q>{7HrLBVYss3%RSMsNM=bPq
zjWT|!IQ{_dweS2jx__xgF(Dbp20vq@7tI2&QcRv8vr{n=o+qcWhjdG*tX-@|RgY>N
zr&4>ezFelV6(CEm1E|}vLcbO%_m{aS23ffP$LT}XzmM`OQ3
z&%LK5Wul}IZ*cQ`URaRq04~$)X54veNMCvv0j@os+`217-zdki7x9c@2ShCvjQ#gb`}iHb&2g50zpH*N?1P#mr(oO11isHmM)@YEoKP%O
z2B0&mO*sW{1d`UWw0f!6tJn_L$M1Qt0Vc^|Y=x?Sc?xMz)p0Vqv_bdWA1Z_D3?Vdx
zq{|uZ1_{L`>5V<$GQCJ@7zajQlOBN1?Foiw3AOIjmQUL9XGCx6vz;Q4*`}vE-z|&D
zXPP9|{!M^*@QB0D;U_ED7k)$N5fgS<&=ZKJh>Um!LjoXE(fXKae>0ENK&u^#0HPA(oHwg_tGPpx(j
zf30gn)yw`BasyY8d5USaZ2ohzQml$`^IZs()^oHImK8x}s#*QX>y5>N*uC&9p=ovi
z)<^ZGFdl>vb7kKo7LSvRn!tj&&>sRuLjX3)fq)JG0sP~P(NrcL0fd*CHJ1R`e(2Vh
zOQ@4`?Y#GcWF;6lgonNfRWbJ@=zhers9H`AY`Z4?;
zH*pyaasi`q{fnJw%!`0f9kC@6OBAX?A_yj9G>8xpECuWe)Z&7@aHr?U584H!54^aR
z;Q*1Xb))V*!0_o*na1Z}QYc#K&Cwt~8AD-TIy0PrK}f^~;9`SyP>V#C-$5(`aFiIm
z2j&KrtGXcZ(pZs|xsZs+9=_~Uf0JkOLI>4CMqc6pgG7br+8;14D_E?;l=TRYXu+Ef
zwS1S-XDOtys_VZ6sFFXZxl_;(2~n1{r7mJH){P#j#~7qj%MAZ2$W+O2a_Z!jl91yo
zm`ilgiFz)HmUhcgm*QN3ngh866MYXb&^#>>rSnZ5d~QDXRiC%@2%e3&ci7jl0$uU_
zCnj9sB^|tZ6*-BGrQ3Z>!fNiq%xYO{z;|Qi1gDavZmnT%HAdqt__J
zmA{83wOK#LFe<#t5`>xrpGturX%EcE(QT5#{&eoT44?!;?AR!mrE{;7lQQ8
z;E6CD3|z+yPoLjIyn+pR58(v~UwhS88Z&LISH0C3LOXIh*Xm9?lWYW;5-|t4|oako3n?LO!K5d5fsF32-d~ZKK%vuM8lOO`v5iuFgMY(jjO{7
zsTW3;nEIc}?TR*h@xn)h!d)+^vr>j+8MAGJT@75}mRQ7l06r*U9&Q??NKt;ZREmHL
z3V2|@oN_lqq9^T=;+Bd%iOi+DSAEP8LozZvRcfCay&}8J3qp*$0Ayc?k-hws3>}h8
zUBc7tJ$&Qao?|g&uITkH=ogN&7udT6?1kKl|Fr*BjAI^~Ko7q#L<4zqQ^I9S_aUZOy52(wajChksV86PR0vG
zP?_t9ET};gtxXst^r4G!&00HXn1c5l|mRXD=}x
zq=BX1JU;6#SS;q;tn}DtqhCblmcUMOz8A4UY4%ymbNT#K^-1e&JfkI^F%!>vX;_1ibR3VjSeHM+a5Tw4W#rirYyFl!Qd9YImegR%X=V+aBvOf)ZpeX_oCaHrbtRn|Q%d7gOFT#FOYcvuXCShI?En
zP~1mamV%_bjbb?J&;a8Xx*is$MG5Pmj<7Q8RM8K2uQ!qegWtk2fx)*bLsbL{guq;_
zc~4@|iHqaE0W9f+RY#CfHNo!4(WGT$=7H#L2z&^u%c_HHBMQ0^cqs&o2OHPR8cvPn
zsvBh0DsC=6I>@tW)TZT(jX0~O+9d6rjScD;he5FdI?LcBC>)-h|e6-SdX(q
zz`pN(L0;Jl;tAN~{VQ*<;u=Fd6dYIK1wqPD_lyrVcnbq8!%my3V9(C(hv(OU!n8m<
z0XUviD}gp_J2E2QH$r#@NKgPLy6}Xvgygdse9&0&QN$spEilFQP!NsNV25LS39UtE
zJE6W~&sg?J$8jkxqa{4B$(%q3Xj6O0Gycce1XT`jDtL;WWw~KXwy6
z`xEwkiDMJUkXhzXPh$Hs2UA+UMxtX!YB*i!%#i>)TQj>t)k-E%0BUfht5xNkUW&ws
ztyI;Jo>E?6N%GfY_rJhO!C2DmiYrS(-eH|8IrpSgo`|4peyO~3JAHN6G6gR+nB)f~
zMGHsPhit(6sFyYH`4}(ohPA-@n;s0P2yG(>!^MQVVw){8)~vEObCP3C4*bog!&Iox4{OCwnX?*A-7#_hCGGu1XzN}5+b))
zt{UaV!vx+6Q3UiTCfYZ!r~EFjnjm5Wqf;CH5Wjg^P{Pj&&&LZA;Q$Bsoz`JyO$zG4
zkNd`amOKIrr>!C2-PV}pzSw!o?*NYnT@OW{Hz2bq)4WT41!uwRcu}^~6olddLhq$<
zE=>-EM>4s#Dz9MpFACO>&Zy~x_H42=$cg$TI`=2|n)dg*3JKik6wGgY2qJ>NMPe}^
z9ypjshL9t+{P+V&MdeYv(h7PTU}L&2n4W!o!+Aiw(LMGU&Tl>~^kV4!hD{X~o{yE~
z+U;{*>0}u17j`iiBVJBryL-^D`qEiIBUxpZf|2sWh6i(L;xqrI>Zg`%MNIh@>xFPLPxt0P$wg+^J&XfHMC0eswy=K@>JT*ToU2R
zNCNBH(llg8Ox=~76@s1LU#}*&1rH85CkMKW$6kE55#)-v#VOK7csnb>
zu197&z|ULWzapeldFJG2!gGxO+}rF4tkiPM5fOa^WMIOvQm)*g<MhUdnUOYWFe
zkvTM$&lGQr&IrNby}~Y@(zao)FftpMzz!v_Xl+J
z2~0y1^cfo2Lc@HE+kGJ=tm)`DHiFp=uivSc1LveEZGLnKV?&l4zHqKF`O9XrqJZm-
zgB&%#rOpPMa33|!`d=A6@MRD;(j
z9^}Vk6l$eUuy#?l94^OlEa@A({7EIt5+;M5^56M0O@^eT2XI}9cGb7hSj2Af%Upb|
z!@|EuJN?iObxV_q<5o{~F#$tz#`;B7B!Y(g!IEwx6tNN(A3H7z>T*T
zEgduBA`NgKTtB3X)R>V?&E>)P=L7OM4kkj~h1SFbVktQ~(I4HVK?q9^8Y}bBcF_M3
zbuBCAXZzpBK^=LIB@!^w0m~gL63hp8ZOj;uf|@?)M@0?O^njoYbxOt@|==Z_k1_RB=DCzIRby?5zY3!g%c
zCgPdh#=rzA7n~VyT?^fjE(|2cag8woqrCy}3L*?RU6~Xaa7AbnhuBYjLuFv!?lj89
zIV4L)Acfc=xO0FHAuC
zNPYl30s#tJSgss6a}Lc7;o-sA@h-DxM24UOhg9ZUg+nXw4yZWxLC_zNE(bY0N3xUv
zRUr!E_NYmwOGBJcUxpeWkl8}9POjg7lqwGbtP}%Nv9BkB<3-RGr#NKDe4MxnB$aQG
zYULQ1G6pz~dq{*7J=ZY#yEh_BDFxXAK8yBCvPfCQHH2jwg-7Z*;q&MND-))>-x}hd
z1xRi
z4Uit)UhX9SI{gc&uRR<&5R@nj?ti)^cVp-$_T25`_*v_0w<}iGNQ^#?Ng(Ys)8=18
zJ1@aP&B{EUt-hINdL-
z+2tP6IH4o$Hl4!du4HtaDO22^UM;-+VLEmmXm=YTI6mvI$&)91=IySc^O!
zWnUW~;?cPGj0f0fUIDtP09D$&CNROi*7Xr$*u1FE@ZFN%tB$x(uD}xG*)*X7tTa*t
zm5fbNB+5GkpJl>^V`13A8Nc?Eo_evc?bN^{769mFgccAIO6IebSffIUK
zbME>p*4cgNs^UtK7+;6wK2Vu&?7DGo99xBDj5}uWe>=|t80cUANpe%aFUfLABsc-?
z>1BG22Igy()j3WLACY&oDQ23H^3ItT6>VNWFjAR~8-HQsE9=NR5`t1YsAKeRsKdBf
zGb#t**^NTDqliJN(yieWW?HE!d>)^uiVvDE$u**$-%7JudfFFq#04}>VQO7G6ymXO
z%+d)+5fTv|haJiJRLj$pO)piCxc8?x-5aG{M0mQJ!kf==Ek`+s&3$T^N4ekvC3^X#
z65*q(`w)ZF2!U0CG<^bdl1<>_#uoaGB`5IfmK@?8MCdlr3Yl|i8@Vi1u9Y*v?^+qt*f_2xYfVtydr&R3e7ZE;`*ZKgcLQ?CCuoE?(AIq^m3y^%>;C$)q7zbL8naFQ!hva({Yu$8E0`4UEPy}pxyYugI#(9*myAwFg+|$Sz|H=T
zEwKz0=y<)LY~!Qp$>lxGFOy^H7YTu1f6`dAZi+Ogd}MJ8YdET`dm@`??{~l;o;)B-
zN{=Y9{`>0*tLH9W?M*o&dt{UQ!^lqNef>Vnip<(AZ0$;zLdocHDNSfw&p4Z1Co3v^
zuJk>$o#M)9{U+T{OHAQ{&X<^j<3-6kA|&pC9qGtNRfTm-2FCvm9^65xojbn*f#LTO
zZsu*FJ=be0wSEfn$74gaepBznc0IcD@95;i(ZR;VuPZjUxH?Wm*Rlfs?p%pJsYl;W
z@@jF7l=e8$BoMBF#jfxDx+55Rr^PiwF#i_9hirSB1eLq8k))A%i+tWEL~u2BN+cFL
zPI`Y^WJWYpgy;IYA!ha|rA~zRkULJvCvIw8N|A};6?n%%Fs`~?{kz?XR^5sIe7gfBLJP9|Flj68p?7z#gDu~{mM~@aHk_wX&e3HXMM8u7flg5*$
z$C9$V658creCLzzIfUG{B5Auac=zz~h9o=(12cvx`9`TfezMq&qb)4YAU$uEGXVxZ
zm^6oz)J`!sEhbF!CRR)=t!q3jVLWvKlJz2|le
zu5#NDb9={=*0L`(!2RFqTy(;#
zBa1X3LUmC2moP3uN&bS5t~(dxJO8-al%wN5A!j|2tk?zNn7%vBo%>?OkTpe)uNM`2
z962$bg`c>`A+MU$Xm-ebSHKwUB#wz?E)pn+Wa~A%W|Zq?U3k+?KB~*i-#hDaFZyRP
zN=2N^=c?IIK<3#hgt(r0@Top)&ARh3r@%7;wRK<<6_O_
zte3|k9}Df6-)Vw)F_=xMt3sTC>LZ9!z=U&nMQr31hV4`SjKK+Nn}^K*lJYP!x}-|+6O%4
z^7Um-eYGh2O4?{Hhs0fn;+v0r%VDYLC|>lhx{BMyH^1=6xBAqqoCzoK*8eidT@4rE
zKEC@av4QgF&btZk*!LdHPMWh~4T=P+keVllRu|W~Jrkv4fU&*UEPx&>CTkgPo4p
z`kesnMIiK8sGU
zP2eRzuv3>OJ#7^eaSR>L!}z1$xTCqE+M}vF_y`Y{j_P>iIs>ZOMmNhG!xE6Dca@eq
zAwdln{H>lfp;vyNaW`pxMoHZ(lsi!El0)%YT|@>OcR7tV_c)$(I`%%isRM5<=p@H?
zG`p7BJNuz;cWQui4|?P#97TRM-Ld!UR`R)aHVRegSLYe2>9-~4&es`IVkNUs|FoF*
z3Ljclul&XWudz?7YGn_aGsbrkZCirQW9hjk+2!c-XxHfx>q=&~Nek;rY_&X;vX&KT
z>S*&HrNFeC!ctcXPe&V8JoM{f7l0c(patU}1rBvU-MU&zq}G4+TXy$u_vI=SwWDnM
z*(hzyX-eDn4Xk%{CKs>_%meQr4<3r9mP_`25U<1UwCSO`R9+(l3spe0(4}wm2+WlZco{-gqC~i
zWx!e9sou^_=0;N%QSOK*N^+vdjYE46
z8Wq<2#HwCIdVtsVom}5|YhOcgT+4u*y{4Hx^0LjzSaD1A<%{V0oP?3ur}8;N&!3Lo
z>da(j?yoC-)(}0+K&a-~f2Q9&sv8uQ?owL1h+Q{y5r6(%e1~*Wl6De-e&cZO0!l8}
zsfGJ>9e2>3oz?M4`4??c=!;9wQ92JN%%0x()79gY^D{z)QcBlVC)Ma6+X2`$snVw9
zmz!qj?X$RT=dwy8WbdE8ah<|#r&kn2n-&57WG^~s-V7u?wKee4vxCGF@4O1pfeKJYpk_F?u?w@BBo%F%UX_R4YLS=XM#T;;$!Bs9-A2#_3kaEphd40XufXrr)S@P=X5l|*Dg{d
zea)ulRk$W5-noI%dfxZ%Y;4SXcKMMe*7+t07rQ0K;QIN+qroG)g?mv8_m?66N*C-(
z-Zx2iZPY_Q!xlc<=W0nMe~Dgv!Fs>$^}_!1#i@gb)qh3mgXYVBeON5hbc~j|l@Vui
z<~71CDyrq9bk|$i=%HsAmf`CKJ-aQ8S3aGMIr-!vw(x8O`LVt&%9ZiZ+{h6z(y;sq
z)T+ZUXr}aIhA(F#^z1-gcooZmcqL0rPQ=o$Vb#b?JO7+IR~RxV12+
z^6?42b>vFo%i_gn*WJGCt~7w4c+${9nc1>AI-JCChCg|Hmm>WUZLz+}rZZDu8iNmv
z!dpTeWLEtOKcM*2zND^D+i6O2l%jw$bff8hDWlT+yf*(nE7F(Gwo1iF)f)_=Qd2QP
zoX1O{`@Nj%j-A4wzTX%o*j5$Xw`HdXR0j=b@jzwKSLe!*^D1_12IXzP3{=`
zwL$LLG$IT|X(3JaHZ^xDd>+YNy|HyXcCt*C!HFf`&3l$1`rnzzmok85A3%g!+HUW85Yj3&cz1xDHTezc-E;Yf5k~w(m
zI6lpWJpP7w(qJcE`ym#c7fF9|NpvLPt;n6^d+>5jiSNnL8+TNZF9u%~JbqP0g^0&4
zm}g4myjWNMBy!H;eOz%9r8jo&3i9)dlSruRXYIh#d&WzQINTB&p#P%~juy?Xq2X>T
zlCfW(L8Cw=aa|jeABO3?h#{0ZTCnhkVRq$}n^08ND4<>W^6}5Hj>9>}qYIn&wBXl5
zKBeQBbD;3|x6ZPtQ-2K~&-Q5SYG@sKUqhChv?^u2)Ru60{)IxiyZ^&@gVdR+Wr0RsRDl_rAme0QKwkS75GZVZR>ITfSpk(ZTK5T`KWL
ztogV87VF!
zb2Hm^xfi=cl+>-TfHvb~o+EXOMu9lIZS`EZylnU=XpJI;Zhl7)C&WKrOS9d{EK&ge
zNbo%P<~ow1D`B_D1C%@sU`F3^iCDj!;{%d%NY3x{oT|LNgg7VfwUwMccLNOO-Zz}r
zcd5RSthTyAhV7hNZK3?UIarvh_Wy{k;o5OtDg`Y;1AX#gzvAPSv~9eH|F7){cpFUwJdz!9S&P)zxAM;HVGfu
z>`8#QLjzmC;}u%zKjgt*2nZ`kix^ztFtE`O0g+z06j7naPXLSkr_Eny?IGZpDem?38B8XHU
za!88sLBHq}S-Uiu0&ct(k1w!DKmpf6-_G`QYU%fvm3<>y7pjVN&=yG}r?sBvs)%Td
z&)r>HL+ZZJL#rGk!H}`4_h~a07jbrC1j;maobjG*>JAfN>CBR2iR0VfJqQQzSZTkwf!+)5#S$Yu;gZ5mAr2q*6|>#>I3JPcFx;w
zfn`O%Jv)cWmJsI_Fa1qN1(2n{Jc1lp;1X{9d)DfklaSbCxNdG(RrSvozdl`Oc;5Yy
zbDyC{;1252Au-YBufJqquPxju^@Zk<+Gf?;N3NNm4}_#F?aUq#T)Nmhrn?C)CQSE0
z_~W%qTx8LeY^NLWwZf2pUzc;Pnb~i|bNtI#8wGe+eQJbP(8fPt>#EBY)uHOXO$9%L
z{SqrPom$J+c8j-5|IG$?5Ut`Mkc$OWcDedl-R1nbo8-`9<^&}SM6$xyd$O}39pSmx9Fz3=S^P`&Jj^K0=^N
zkiFGEd~H1%=H#~^yRK4s9@x?-O9-6Th&!e~xjNJ6Lgr1O)#^UIb}BjNj`&dSPBd_i
zLWSZ8;o$QO;d+_+ZP_Ky=Wyp9;aNFe39dKka3l(=mPx1GZT4{HmDW*D3=F)=N3O+1
zjhna#2&eJ&me0XbknC6W)PFVAHpi-o+O1m`X=tpA)hkTef90@v%XU1xFMc?_6h3BC{=LRqQ(r+u^u0~Re_t}OM<+`b
zq<=P4knpDVCz?gP$e~1bc)ZTJ-$_gIwUVsH;;lIuw@&MVrD}c62?wu)T;k5A7&V&5{I*Fj0|R|ax&om%b~`3Y4c=42
z5*>t~Fu8Gk1!#P{uiw;p-K)(805$dZ$+wr{&H@hcmtSn#l*=n(bTs{)efyZw;8iU*
zYW)p*;iUfAdu1<732@sbzQ?dzWuiu80(=Kd7xREAkBb7lk`Ch?)8MxRqV|wBTF{51KHSVG+v7wgs@9w*&RgUv6^(X1aS8%+FZ>fdE6PK8R-%BKQ@b
zt#!D}wq^e9-0URfbFlqjVy6XxYMH%8QGo*v-_Es>Gi+-psCluZQ!I=Lp=b*x6yJ;!
z-vA4W10Yt*2T{xe>|6P|!;QoX^8A%7fDer>sO%EYIRzNlIy_#ZjYSH#v$NH6j|kPZ
zFQ%Wy`1C5-|6I9Axa`9AqizlxaX%-*<~g02AJ+*5b8W~pb|NH8k>(JAJ32SlT2oux3S7SeLW
zVzzCALGAI`5&Ne
zNbuh;?7dh9g=~P?C2)6;qvpZf7>U&bPl1i}f#g*|u-09$Pd%S;jOXocP@n^M^u@(m
zAAs2-@Osz=pMf&|c0X$gIN~WUM92~}_#-9|vG4r;i_CbpCzfI+*aN-uLt#kzWyP(2
z=LLyuGD6@V!2O5w1Gi{z(pk2BPCd89lRMH8lX9zp$ap@wD79zudgi`w0kGmz81drf
zzwc`v8Xx&L)L@qazokO1Y&C4{AUu%Y^Hhi{#@8a>5)^jpC(lA`9!1XSex6G*jNZ}u
z75NVJ=8z+A=`%p=efJ@@ur#iJQ}O113%g(QF(Z825~ATBzWuvh=drjYR-if!x^q;^
zbQR`T(f3brL@F-=(nqX06Y6=YGF#uJ||OUbdNFsQt(N
z)ql^D{`~!EIIvQG^YHIy?eWh8UpgNF7+SxLMni}uRBw=uzF4f#1A{(({oj*UCHQ%N
z^{8ge-HUic*TpB(z0;CCpZ>$YxI56I3mNp+LZ795^VjAIpg*1LAC1GG@liOVG4O+>
zf2{e*Su_0cXFTMPem=Utv|3}kgv=qOBbYw;vRX^PL+8-~`Ai|%%tno`fm1wQgRnVN
z6$#av*O~H=UO#j8mn76vY@$s}7VJ
zhC56zI;(+D4qA%%xJW@Vx`&gX*uTnsDn5k+2%c8MKNrhst)`*Z~iYURN?=#LY4oQ6)Im7mm*`G?=sP`HgraoWytI(*z0+&vM;zWn)3ZV^ld^UzRH~US=&)YMOgM98L|}T=KCdn-qcD$e}IH
z*;g75X4LEjukeMJeVvK4YkfHop*9v{+S9f?%sctgs9(12(2do`@hTj
z?qP}9WZ^V^^S(B>F}S-mSMsmmt@_Gdfpd#;hkj2GWd>Yden0&7iDp>tGLW}?y~#h0
z+r04MuZ5RRzn(pRT;d+KHs9%A5MD|QN_6W^J2`JLIB;r(wrdZTm#?MI?|z=Fu+XmZ
znveR_%*FC#@Z{v58sifF(&O8oNK7IPOBBQnTPUEf$5d&gbu>kdX1v<4oG5K~gatT%
zTk3I~=g5Nsq9T=5rV`~2PAO-(x`xx`W_>;z;^2AJ@eKN6xGbe1pU>$R7kz|mIsLqG
z$pZODm09?qP4^5nHsjAZ4qW#5ClU|>e+F8FH-RRQ&OzqWZ@4_Oae&pwtYrK&=
z?T@_LGgQAN+fY2T1x%57qP#3z>9Z!y_Z`yq=vfzk1GFT2j$6!?Z3~y)Z{%)uvj9Sr
zfbXo@KlgChH1=Y?-T1GW-9r7i_L4YV1+Rq%_ZLcYbeKEyf`_R3_xc6<7zM>fP&~lW
zI1RxW;X7);`y9!vK#Uw3#>R54*JEvJ>c(pwdGriU5imJGwo6LO5>fyH}3k&1y8CS@o
zj+^Gr;|Z*+R4XL6I)1U6q7Ix?>b^s|HmQ(zI>xp?R)aKW-@qLmWKqI2+PH3#U@MVJ
zq5QSJUW!9&*@$_^6^9BVHO`UO{@=eG-)hheHD|s){)P=$4Y(^0`~bQj`C(n;Du>m9q685y_U+n`ebQ`1A``1~PwsiAjf1?&7
zAqk^eMyu47^S>9tTA1_UjocV(^a7i6WckpfrU;dGzU
zn5eO1S5BJsA(cmYB!?l$1Cfwdm1KLM(pg2c9J?%*0B{J%H!z*m^BK1`(7$dSJ;Z;F
zNtcJM=AKP_F~9daL#+cAu?j__Pr(z}Mjq)w$Ox)!}UZ+B*{g#18?)dXJa^gMX{%(f)52ctzp*pYL
zNb9i|PChxFw}RZ-9bg)koO
zU}iJKPy=`(4j-E{T_+!(Dnc=W;v!HE)=C1l@j@2D*2)4HP@wKR2~*`ri=?xhHJ8kH
zbf=C{XPrFiysM0UR`FVx!i6FXfM$md=G>^@mGU>TP(T)$z^6#ZV$Y4>hv+j2n>P1j
z-&>)y<>!1y?Qm|n0+JhIvvDJB_iov3NQyGIa0kbC8iZ4>{@U&=2NSCYj3C^!o;d!K
zObn2!G_Jq|hMR_y;HJ5Rv)G+F3G<(#sXJB;LJ=}A4Bp~+7A1W7Y8{z-jUG1NALjr9
z6$MHU?Z%~Zc*Q%c$ffRWwm!U^iR#&Eo6BfMkiI0Z;iB=rolx0*@x4HwOZoI^+~vpH
zHs3d%wZM7$z^I{HQQ;6^ucKJW(^zrXgB~5BS8)iXZIPH+C|tJK^D<0W^4`+#--)$n
z#oyQnFljUoa_Gx?3a9#bzWuZEi+RB=S+~8xi7Z8C!uo)KNGvk2xS`9E!C2q-;kbHO
zJnwgnn>iVaU7|d_SRLhtgRlN>tc|KI$Y+gd<})uZ_bJsCNY|yy`5SV&&YdtZe*ieC
z$Tvk2&&JS2b?3aJ%`lQete#=TiBVqJl3~XdPg!pYNA%NA~
zKksE&tA_bZ(fKp8XiYj?1xsP{+S@V9I)|w_aJR_ZULz-SUI)b;d(wza|?G~*E&0KNwZ=*GS52;B0
zkd*r?y4`jX|7egk1}N#{_>TOXyC^)7X_Hb1ng>4(<9yY&aK6
z;9_>{wkT@(*X1YEI@0&fL5_6nEE&xAPG>5XLOfEJ>Y{@uIlR54Fms!UM~bbEw5m(y
zR24rN^;)4rLa0pT0Gt}gQqYEs-GdrZDQslX94MJh#c%W%(qM{&mlHf=1t>Wr2romy
zAoyv=J_2L_5eqR1CmjiLtuWkHTZMeQ#UzYNxSTAAU`kjg+$p?`eA*qe0Mhk@sQy#A
zmInYaJn?@-k#`w^{G_Og1mD6jB%~)9f(uDLVFLW?DF$L3cbR~jVqxQ*5XmV;gUz~!amoKS|d%q1MGk7D1
zZX*qrtdf>easbGLj|w;^rfFUt$%t}gI%|(-U|o-c=`-VbAaVc@H-3YKVCUoJ^+wnf
zPmsic(~Wacxd5bsDRrVjQF|)>RkF+OzPOwhNiP3fzbfTB15m%j9HWYC-(yKQov+s&
z-xS9CdJ$S~``_;1P(r3A(bBbSvk0A$|6G#{8XPoK4TkMt&>$#4iV|sr+LLa|s(2;I
z3*S)Ts8Ys#{)N<9x&p3D1fN(zZdE5rQo(h}IhFaO3p~ENpi9q*EX8dQ*C~h%lHWEP
z1`f)$#ggo@p^h}hFd9@H3leV2;&r_uEgFb+OGKz5Kj}jhX<$eYqnNCZj;Ad
z4o>sHbRb4nY~0o5|$~uD#C5hbQF&ccaW#8ETl{f
z=_Z6UR4DL_7eAF@gCfFK7>k5lNk3u6SJn9QMUi%a3@)-r3IibIm`ki>4x%!+Vi_8X
zyk8$)(@i1rs%r3pF4c2EFCw9BB1lzy?&x??qYbW;t9W!($Le)j(QHh$(s=_*1_>VR
zbII8q$g~<}r%|aU!by2Ogr(@5
zVcT`fw(FObBTjie3+k=^BD{CHZ^){N6widR;h>{T6+a^?R;|Po968v2+y3Ojv^Hed
zO_V^|uXpy|x-wVE3yN0AtN7WeH0)E!om%;RUw$|l+i!gRd{4C?Dh=w&RIs_^O`
zIbtJ?71ecy-ifqs8uxmhx#WfQ4m
zp@1I}m_S)5^A>VV3HsCvY9b2_EvXZe?-T?%p}V|g
zyXz%$T%7p0U<)W*li_$5hgEa7PgL<$IzvlSd@L3@%n1Vk7_kj1$I^QAwoT%D`|9_H
zagym(EF7EQ@V%rO6R!uZlT=P&ek$AGHyJT0D^u0U}ID?IFDK=5N^l5T7nU+ebL&!vZekl3t{h~
zCN4B!Iz*)m2SfY@tv!9WOs_W{KDMi+Wq_aT_xF6~Pod(Gv7_VR38>YpNA7ku91Cz$lNNf3zFmDwGaHV<+LD3TW#xF!|imL_fr(OGU_RbP}1xQ%ek2
zx0a<@2f~(7DEVfHjseWUhov7s3Ij1_akbSY1pF->-HUby!Curj_x=2Wo$)PDMWnlN
zJ`K@(&Ocvl4|ux+Oal6dek`(#$a3>!ulV0$@w*);!W_0IjJ&yoGMVa_cDR1F*!Z0~
z$2-c{`IxXW1ebB*bWT^#&U&;0thKFl+5pRNfy&qgyoSDp7XKfX?!}+!_J82`XGh!2
zYz)I_lQGBUkW99_2635(CbOS_-Ni_SRi^!2aQDaGf^`nH4#zf6
zzE24{rS)8kTQ5F$C?y6bw+DWOjvlYV`6R%C_@KS>aNiZ=RT}mg9eZ&8j9lUvaOjrX
zNOEV^)L!(g?;WYt!Om+Zdd@ZB{5I%G1xTO(d1ihVpxc1Q2Y8XN9Vfb}=MDuZH*&*G~B~2BTNF;
z6^PC3Mg?y)hC+eUfS4EkEwr#mgk}a3oDL>Bzd#NB8~8z5dp5Gv0UyyK{QgjzJe3*?
z3u2w9I9HIUP&V_4K3b>N93OMG1i#hsdF&p%65a&lMr
zK$5t1x$$%6+WPOCF@y1kp51IWSYE16eI4-kHFkR!)^-DiZGo0$Baf0EP-$ZA2^(ho
z4M^~b^}R1Mf<6a7cNrS4CNGWuIY586_W49$JLlt974j6HI7|XTo!rFQ*mX2I;IrjJ9t6vX89!WXSU+&P;^-6%JY@taE{}>Lfv;mXi{HD|Sf5k2
zuJBs*sCPamYhUwh)$1zFwccxnuj*av(;IeO7>eoHi;y>}w)A>QKNt&|*Qm`Il+^I(
zs2Ns}T9dAz-FThmcVyoABK?xhZgUg+knVFz`?83BU&9Jb>t3Hb>G%0XSAcVWYSFv!
zL9P9@)O$6x*~(dPCI2m|!J=*sWcwOW!pb7`&U)}co2w7*OjzpbR@k<0te
z47YxET*)^*DB-L`iJf-OHw@m(U#A;~Pi>U?sh1gr0JC7yvbJQUnJxU7*MxbBSJQ7j
zIUART4{%jJ9dhxTAX`B6*tq%Vq*+b}m^Lnr52bGqy
z>M!}B`8xgyBUP<|ka<{H$l79U4l$&Me$ht7-m;uk;a)$Ste|f%vO=X>p^6zpH1hMn
z#sLF)%hu82(n-xGar@z#?Xy~C*iZ<7nXZCa4jhSW))E@()v}14Ba*-(01SQj8#Zyb
zX4YK8g(0#+pVvx38X1Z~nV)VsiT{^Zt=nnm1qLIgSayhz#LcqyYEW9V=jDKs}*B}c&d9;cf~hM)FRTwB&TVMXlj{Bj+jQXFV~o6
zd2UctuBWA24@}5JnaG_>{T5iyCh~5@@5oB=&LX3c&+BR@oL+i25iVZSbZ83Muk~=l
zE_a9JEErHKb8EXfp`fs2l-)c-FBxney3kO0rw6T>WtMLeSuJt@$hE`w%sS^wy`t^k
z5=}>Uzt>h?3f@L%RYnSOI0t-remjX3-0B~^oaN%I+?kT5QufVQv-_z5U3vh_`)FiW
zqV}wFb|L)x{O+qBgNKtDDqcgqdsREnd$6h2`%O%xU`vcS^
zvH>v9JzHP;dhk|;m`cjNYp&-K7rP>^1w|s?!rQ22Wrtqsl^uw0Fgzr$FSAQ(M<=-b
zt!eJ}DOviTtC2Uh5A&o`=)1}hVWg}A%VkX4?S=2>)HrK?uf~iSC>OglkKi4i
zujS90dw8a#g_uD+N%(j35g_wJR3DbJ*+O9
zj8Zubjr+bJkn$gm7v@wMO(mU&55!i*7`DJafLa
z{d>l$sC}nT=fovx^xQ#s)T79Ui5Xex%m0;l)C5_RQS-R^7sMItt{)`TOd3QsBs6p1
zm!gCWVeO{FOu@YQvbytady;zF&|#wzmucoz`&q-$yPzyq<(F&j%;%#V!>5J*F<>+$
z3Ryr4O;%1ss2hAJu!0+Ez|s&-dg*1AXq#guAL^}+nswEcN7va5%G-Ra8LcZ(L%Er7
z!8R=-@V
zFHGm|QT)o)hy+VI^LtghsM5bxkEq7qcrKWTHovy{&dJ#zCPe0xURxuk)H^C_JKzbD
zuzwY!)5Vco+uZ>s2AU^-O_Gs|WcHbB6Mn|K)F;V|W!>rh~CxC9S
zRoRzaMo#12`gNoGuYujCWQ|+8gD@debv=r=q}6X5W$fnt@kH7enNX60+X@K7jVWP1n%CHYnHhb7Dhu!l}|n
zmiF(f#in#g9MKE?(iE&9=9~ZtdBeRdt(aY_;}m4~CCn$V=CN$1L4{LXVa)dZC0^!Q
z&%WJm@gSDLxNgJ%+ntt2J?XQlKl9|^sJo7f9^NCxwoe<5rndYkmQSAEyu{d5t
zf{?C991A@RN4~6wB6taK!*!arF{-Oowhid6boJo*(x>!1NF_dL*TR){hUXu@7gZ%b
zC%0f&|M1WSgYw;9pmi2D6UJ++6$Y0}_H5ZbGhA*fYSIs$(p^$Lr+X*V#aW)J_%8d5
za;}TNPSbv^A0-BZdCh)ZF+g4vB9`H=O?9i7wtua=wh+Lr9z
z-x6n$I0}PV?M;NNn_Bu0JGnwO!M5xt8O4WdD6l_s-khP}8J69>WVx(aRk5Rt)L-gy|I9D*{QwF8zCN#<0@s<79KpZqPoizaM9gI
zJ*ujcqx_AEXJm0oIAk-dy#irT+-yFT1YL4?5Mw$X`DOhnKBJu?d+5_2zurYNVHkO?6+#cil+38LneVMPzjLYnJ5e9D+y2bP-(%NUj-SrH
zbA5Ks$+7F>2Xe&N9>vQhSUq2c1jaPEEm44#M`y^)u`;Dx@&kbH+bYt*FK5+$i38M(
z;2Z9TQDd2}`8vO6djbbvzV{O^*)uf7tUr#pWxn$A`JN>>+r(PS;^)2oCo1TJ(u1l;
z(z#4pSRO>ceHt3F6?3~*wd8<9-o2ofOU#46`mgL14#X&G6e|FM5~f4;UZ
zK?+-of=$YNjG_1Gp;Sx&s4w|LA@V=b3HBJ&g~i*hkS0Va{Dzpt{Vsq0p}22jpNy(j
ztlyo+4T+I?b0t&LhsB-n!0xL9+_dV8U;Beu;OQKb2_Ryn;AhHnKMUtv<~i6
zfXu}d>HFPX2xRSl;<t6ucVQRVRSJk)kljtxO*TR52S1Y
zS;JWtbZ0~slyf#98gxtGtsw%Ow`7-pAwf{KQD{_dX*qWl$isnacUe23Z1Rw{Xe4aO
z+CB_%=WUJw7NUoMOok%d2@g4J$WCaEa-@krGJl@l=T(AgNVuijm7|i<7n5i0mt1Gm
zvPYfxcnc!_c@cTwkMK-%w;~=1%|mKzf={IKdNVG23>?r+W*%L_IkK`MQ_ibt7HGZ1y(KUL@OLk0Yf)(6ohd!V
z*bAMcmOAVOT>82CKvcw4hejeoG(H-c0Mi55MYYVq$V$Gd{5t_|x}*9kb6-vB?Y+=*
zI+IFW&-yM`4OS5Cl|ZnpO^!jC@iIZPw_K2R-#q<``JM0jE=`RwQmWl0PdZ~S1dXMa
z{iaR&U6tv_bl*s!l3x%Yy6o<>_JPJ|vG);V
z^q)cmrf>!}!OBli$~!B6DVny|qP97)BeM%mRYijZn?qeZXHh`M6`NCBYh0p$C@Qoq
zvR6y&G*Un1$XqwLgdJU|R3hMp#@Wuf_!6U3gj*GK|G)d{%%rhdcb$w)ow`U(y
z=EYLZXQ=Cy*_$KjDt)zi_Y9w^Zb84NVx|+M_*k>vRfL9}BNId&ThgpU+}k&Eci0?t
zch?A1$4OA
zu;dHauI0tt)WRZ-v2+IMR`zt}*R69(I*d;oVO;2Lj0Dp8+_P_b+JVgtZoBnC&bH6?
zxD!_^IgvdIs9pLgUdyy{10GiofVxB>?j_Yj7|qf5o)*m8xTGOiAH9egQmNt|V^uqQ
zQV|M&^3F3|r0-qWAw5Ej%5)|m;uGMv1rXON2z`u0YiLzj1I>4Vsnm1&4=kiLaoPjm
zNyqg6Wdan6e-LAA*{UC_lZ*D}4iMC0)!3H2c%`OgaoJI8MJr|#BZTqFrY0)`(
z6$ojcbspw|qTsx?}
z$$hoQYn-Qbe1@$N2{NN1ET=PDg7f#~`27==bLQQ1hcsSg=L|Au_nj@eNBE7P2AInj
zN))69CzZ$YAgWsI(j#7DCzND%B05!%J72=e!Ie#fpn1j~0jav2yJ5#jl{1j-sAf5%rCb>ubX8I-tLB_rmvZ
zluamN9~Ppz$=T7M?@zdGnzGMiUc$)NRE>X!)4@^XUsK~jEaoAM6vS_n^fnS#c0fVB
zU`c11ZHU!*AccRr9s+THsr;ZU_M|Wn|H>w>SJC|7HIv|MRw!J1k%rw=GIFY^y@IDi|Qis}yh)HvmZjNoxQ+FOOgXY-B0A
z{UbSMZYj>){_H76XB=
z#C+_ffsksdTOu9bCkS0;n*3=ewPxlDc8A
z_Sm&i5zjmkR!$f`tgIkW6$^+iE=2N>0D#%hA36POnItN`O(=fzD>m`n-ER>*`D`QZ
zUNN0i2m}>)rS}%+SiO64ms8PjUAN+b()M5$`fgetn(6^mt&1h_P$}$%1Nto(spamK
zcBnJWMfJ<&f;yYKX?pKDRf7fC$Xa%P!Ss{vW!&x2<;kNcFuVI*2U|Q6F?{H-T4?-x
zlg>YmPFsaeK1k`*jJrj{pFUb3eKs>8i}b>>+w1wrYcBWrwR$8nFo^xcX^0(#w{0HF
z?;G>J*rAyVf6^4Tdb5o~bAyP$fg_@`S7pTextyjWh`=(isU1YZ_;FmYqT#t5mjfs)
zfrsi&1g5{_wQGngJ#|+;c;^Sp@U&}V8`p#di13JfM7q@RP{`*YSs>`rcvNaUue(d;
za`A_{0pj{6u0dH~-i?HB80I!Xet7)OmpVHTYzCyn2l2lpUi!7)aO9)P{umE9upw?hcN@NmsI@?PDJ(XBKjW(fO*Lzqb$9HFrw
zn#zb^FsJk_B=G6ONb~-pb(ot;W>+%TmE{US6*J<{^pDepd;70E7ywOPep~Q)w{5Nz
z50q7qK7Q}3=~T$}F9ml>u-+=cXUG-
znLx(*;0g$OX8{)<_cO!`gzI33k-xR-bXY`VB95b^06@NBZ`2N6U|BYY3aWmy#QS;W
zu+ZW`a(fUb@T3OBmW*K99XM`*Y=LBS5%0Hnoh-Dc>ZT@5-kE=K)S`MMERnFFzN}Q%M8S{|a
zF?m`9PvdzrBbMB;7ljXw*XaWs9P8Kp^S5aKjJ~=Al8JP9zdmtuA7r;GRDGJQT$S!_
z0`nz3+V&g^|9BdGGn56)4{a?uLt-`t*vGOrUu6NDCFB1V&E6Q%0XvZZOu7|PhzxK^
zH?(s%D+pnn0d<|`8JPX)p9W8rRo*t9m_2n`BK>Zb;~S%S1>*$n*MyMl>6CJ+z2(>+
z27qt{;9vrjXRBxgmD7)1*;o*2K`wVBf>~(E9ISED|E$n~0u|dLZIKl^RHC`RHCAMW
zI+X+=PH!dEJ62GgwLd1_j*w(H0~2fw)S=KaniZ(6CIdmO<|G5LAX50eJS`#wQ)&NL
z1u%xz1-^^^p*`CcJ=Gew_Csf`FzBIZbKPdO+`t(8?{|A!Z9vsylo#A%6V;lNn{plQJ
zEmFWe8v44@Q~z>J^3Z-A;NnUkm?U;~u`R^c^H%(SWOMv@;}YL0Ij>PPR2;3Q8Uk$6W(Fu
zB!B{&BjTbrm(zO|W`VaMMleCZ4)F(YdP&q)VV}EC!BLHr>*Id!FQeLj>GVkSlqB>-
zi;lejXL?INP8q;TJRaY)9M<)rCBpH(;~#K!Ct4b0@!R{I%KM%DoMJ?qaeGn?Mlmn{
z#3`7Uw6;+E?}Pf_iqg;Y^cXLX>)R&Kl9O7a?tDqdn5~nn3HrCQ_;*yoFBwb+AH1k}
zw6=b7hQ7`$-i0@EYB}54HGfv-0P*s|W4ZvSvM&Ru_XHZFK=4KGz%c8^x8FXprg0Cz=rth(qTOyRR}!<`2J3r
zC!i>A;K!(zjyexk60KYUcKSxx6+-w4%OiUp$;PG8OX;w-bPD@o
zWp*SEkcTeYg&n(oiV{NdToKUyTlVd4=gMY?irdKvnd3z^o+?}B|ypXoNP_0CHY_lRoi-9pX+TgR;~O*&PP53}c+VlfngrjCg^>4^=flQ|yf
zC8T4p&pXB9w$)Wl^A5PY)tq{NIapLyLfmYfC_DuMFj)YdMgyVo@;eF70k*VMK#QW&
z1&50YgAdHc3xnoEFjSUM0z}KDFRf5hkH!Qrg!jDe9JyH^A4Dd%eiuYrp+xYyykDqC^PgO?H6J5*(P{n~b^jfTR4K_9_z!z9i1!
zJ{W3_+MjdcnQ|dPn#X^yHpdooj^zHwe}Zf_Odwr}1TW^o*~)Wl#q$e&Z3^;V?Sm+jVTJ#n=z
zJ)Zuwnd`DC3F&In3zN<(g055ZV(XZt9H8oQ82k$u$78)(F8@F$bmk-p;A7bFr*tX^
z*yA?k>2t`=_VUP#R_%g;S1Zf!537vB;z;aEYI5q+`TDOB+B}KqrRLXaXga_^C#G!u
zc%9I!V7;$8W-DkAOB2cgQ$sftYu;06sr
z2lLMVfl9KS@EMX+R*&;TQiXf?D^+l>PZSY-*7V@F%MQ~IP-(*%a+jHqOo4ZvP=l61
z{H_c*WhxecLULd%9!zS^8iIt`_9|PEzyOu2!WQbHg$l8KF;s>hVEM4B8^_8jpX^O3
zw?6Rz#$9JQ(RP4@xgbo{iF4(5%gzm!J+&Jf8m!uWVl@rUaqsnVVp^kn(U^>9WpAvy
z#kK4vEZ3DLa7=2R0EP^}LIpVdg++PtC~@8)`SR3%^G(=-?Zo_}8G&{U3*RqitVl5H
zv5*fY4z?YFgXT~vBc^&eX9tTB2V$!iR9WQ-8N<*Q=w3>&$0N4iyACqZ2o2gI*-n$2
z!#tGL$UvLm^wC~@95cLwL$YALN@H08qVYTqc}_OCmLca>wf5?XBnd>$6Y8u84+_bD%RM{r1fUzsX%0FluMpldP$L2I9_a+)tuu9t~WCZ
zqDqm`NB|Mta(eUZ7g*MEVGI}AHixhxAZ>7D`F4+S(B$E4g-$4z^Vslf4%T9)j&&&R
z#}3=Tx8N(i??J$W>w_AIUQ2ChZDw^v!=laDOG7;5K@M0Zfny+&016JcAco}ULmHSM
zlP`euFw;HnV$9fM3Q85L@iqWa<>-a6Oj=}gdcUVL>HQhZqXImdd13W6eVt=-(vqSF
z_0(r-O;nbACjgOF26KLUUI)abu!^?<#{2@gLhp
zrhm#w2h$6g)DnkC#Z3T&WlI+@YRSt!bay{&4>eFoDx>Cr*xG^RyT-V|xqZ2#hs5u%
zoC;wrPTN9)5mF=8qWgmy(G0@g)#efABe!8A70^+hj0KbsIY3lDUop}Nu
zzchJHfFpu9Oq^BgAxC^Ir>wpPqZQ@bSTY?nIPCM_j$j?ft+~@(lQZ2TA(Um!!>&Z1
zb&*p}VEC{_aH~^uzviRios7tGc{I}tZut*+)sk)NZh>y;kGXPxJ1gKJbl(E3?vtn0
zO7TwXwVtRKx9wwe#ssp6DLiqS?j$Go+WNRka7We?Cv7l(11r5Din&7d!nl}NYl(lO
zAJjuLVz1rL*N(Xl@2apa@BR=0_7r`hp*5>?+QMzqp$n7>^=Sc|2!KmKw{@7QxSEdm
z0UxhOy^(GUS@EQ9S3JSG`j@6-18UGFF5NuLKhj1om-S~|u1oc?{$9Kii(5X?ysJ%^
z{Dsk^hkw;QK4{i^HgSa>$tBP^G2d0{68#kNvhc*K&u(UD+243mQ99H%E59P3PFg~b
zUA#EKQBMI=6Fy!$ZAmUDbR(o28urk;hi8+R(oPJe`E5Vek`5zdRs`IJw=iURptYPq
znbh@2&80W5^VA;3hb(12n8_|JfB&dHM?DV=Rr9y~7(8KJ^rpM;(v3JZ`dZ_c;OsK(
z;Q!^Ahpw7EPMs_`wqC^_((TzG{fHl@$2yMGF@h_u70F+wyK&Vwf@n4LhgHrSC!x>P
z0vRSy8Eues9(r&<@Y5S6AA7;Ojk0Fh`?fj*6o0E{qiUeP2?xAP4Fp}%VTNO&R5tfC
z7A%^1c~BD4U9DrQYTX2~lw|4T>V`a8hF)V;S;q?SB2p4cv-d)r+}Z)^x#`+Z8xef4
zsC#9}%=86dJEepqU#>Cn7p9SeOA^9RQ9V(Ho*bk#@Qp4vBD^N
zXO@AOb&R9
zacX54EpD+zT28NFLfT|N!XyS&r^5LD*z(V-b7a{NKWOP!;Kqj?%VYLZf%=qNeg6*W
zew_7z9Lgmm3}t}(joFPmbRD6~!#twEc7
z0iHE~Rqe>1pnQ<>#;(xpU1zp0xAgD7hs}_^|59AF?x(XLJ1I=5d1)|`d)fQu8*S&9
zk0lCT0zzQ(>Qa4^9&}hLLwjYU6$Gf46_x{G#CJ~bpx^eKF$^HA;kG9CJ}ZO7(d)0CV)3h<#6Mj4KB%lox3px^pDW;s(_U64MCA=1dJeY-mabOC)s6(qMRHPd
zB%-)&!rDWSI~9A2vI(lPJ`uZpCmH9R{pX$IY2OolE(@fm;W>5oYAM`>lTh7(0HtZr
zVHsiC?p`N$z>iJ?ul-^QhgF^#7Nj;S`b@Q+Rq^q-3A)ecxIyTv?^{0^66>_p~xP&;%D2N
z-PVi9L59qGaf!jV<_?UcTTDzo^OTk`SnqgrjZ$nRXvYdjY2Nts
zew*4sfi5}OO7)mk#^9}Bg%dOo;^?H~apr+ZrhCa#=lem
z&Wwj?uBr%#gdY@bnr<)Zm7`+HR}3{D6A2prKC7H!sYQdnk>PIrYYSZjU%W2p
z<_%8Fk}yTvdMEtE5A0(Wg_;~qG0ec+esF(rf*-S<`7gb!27f=-3D7mR)&wQY^&xf7l{8R
zncp(4={jteJl<2UZ)ImiEMthTaL!DEwFCVO(cm0iCb`%c;ER*;80Y_d4l;OCt!~zM
z{_$X*`18~HvWo%Df0U?I8cB8@7oO*P`x;z-oA}x|w9;m^+|{VmHpuKrI`^$dg5hf`-sNhSSwe$L$d{Hj^uLt4QLgv*|
z8J+MTRdI1yZ%zgyPSEA=WM$wcG|1C2Ktr!B3vyorU|I;~>Z+q8Sc;eZC7kgRm*~>a
z4e?TIrJIlL$SGzG#LR2BU^DTFyJ8F>x*d|`r-gXA*>KCX6pLD)IslPEzlp{1q?=99JC0ILAZgCMcp;`iD1
zKLBNxr>9|^()Vt>Cpc--lEUL4PJ^&i7xBQR6O#rrkJm6@t)4JLt6GqB;5GoXwJW9k
zbKxreg@|Q?e%7aTdo8xvmKCba&2=
zu^!vMF2Z63U(j!h@hny$6Rm
zN^@rk>l2{sxy90tqP$X;X(JBcpo+W!%P^s?_0l&3=K26gu~vyL3TLXJ*#FwIAeLDF|5j+QQM1&ucg3p4QOlF}iX&YA
z*~fv)n3cRQF7ZAj<=yE;W$ccFgEnBS{SF~cr*49(G`3~gA)X_VU_QPih9qJZA;C|zdF>~Yem?k
zCNx`xTuiZ#8CYsQ1Vk5@;3WW;OC`aWM)z+vn$6iViZ8f`vr=p|ofT}70ku(SR>Brc
z%HUO3Xh&cmn_v5qpK4FZtLyoTtkBPIj#%Ix=?{i)ygyP3$L8q7`(unjb`M&oLjSEG
z7=>O}Ll2F1ybNvHn?+T~%L4=ilU##o1gSa;J9s`arFWe^~Db
z#ThktwSeF|t7-wn+C%EneGPFfQV-Cc!+M_j4(7D;DuqrPn2>>6SvK;_^BPM@E5&O1
zpenhS$wedA4u*_Btu~TZkt%kblp4GEBes}IaaTyHfk~#AIBI1zlNJYVAz~ssb?HH#
zlkWC9cho-mpA1nmboL&!teK@bp>@1A$+-a_QC%E3nNpo8IuT^c@2~W;#}%-mt^6w5
z8h4f+eAxMwVissW*ly!FwDY{|0I3J5-alq3q4QkptGDTVwD+r{GrPxIRC8HT&yNMG
zOsembH?zt!(Tv-9E_1@oM_lLF_P;1#zxkJp>R*KD%z|#;q&UB-tg-t)eZn+mEa3
z^|CCppYdup4`y*&V1RiA04@Ew**vxT%BWcp*@b#wFprkc{#J5(XY`8v-k*`dxrZ-r
zB5;lecq-?1328Zf>G6fphS>)s{5J&1h$!t^KY9UoSCBQVz6D2&EX?C?~I7@i_A1VpeA~HP@g-$?ODbYre9;M?nR8WY2du
z49L<7042sX+<+pjK4+4&hhvP{RyV3Wr&p`@Q~lTX3X1RYFa7VUON0
z+2jkv+M#(2%V}5;cVdCL1pQ1}G6)UeMZd^+bPbm;Y)vU1W0oy2W^%}B5Viqt90H6T
z($1CjAxpP;A_*S|-Eu3zXU5Ac@hs1_
z3ZyR2qiTC`C)w28_&^I;b`qkOu#nq`y^6G}dh2<`LoAymB&V_l6hmMS8M_nQB(}zX
zWOPW~3SK{npMl6^nPi%S=)p{X9&wqC`>Wj|9y|t;ni|Wj#)TypCNCRQBWuV9@+cki
z{eMknDruX@)OXPc65J|m=EC~G~FG{aTa{gR_U4FZm`
zt&~K2r&+$$s8Bjs+I&n{bB1G*(yQKiq3Yjge=Bo6#Oj@3
zi3kFOqzlrk_5-2Ca6RY(Y^i~E#^rrqs;sc&z4U1T#(YB?P=Ic;So4drkSjQYSOL;y
zg&`ixvWoR$&V0~L)|&=ZWGh?^k~mDD_9>|2_p3ZGW*14OyZHuzpMm$yN1UnzcdMb!
z&IvoD0RBhhAFqkr_QWU1V;vd9M1Nensy3y9YNO{10vP-Sv$$Wv;EEwHq^+8j8xhA#
z5C-cUzDHT*|;w4$}ZjA{jFW8Wyg$cDqrlA|QXp|!u3u=J{36y+^h
z;BP9@1Kiyzv(S8))G?8@87wUYX5;c$uW%L=jO3O05}foq@$|AMmwy=YwEZKqq3)Cz
zUn^qoMwUS&2rGH}i85kb5%GbniI#@}v+ozPwhh6}`xY3#Jr;8gpICc(_sgXQ#fkJE
z4_Fp~VZ0saYNU)g8-&?lqi@~-tD!#*eoR9*v|{^QMOLVs1JeT_+q4YxC4yO8BAhYw
z6bEM9ec`NAuP>8o5GEJK#-H|~mc0IVE8r+4{p6`5xv95$XY3Fv-9Nxt)UphOW=Fdi
z4f9}-)j6j$wNc_+>o9unkc5=@OClH&Q}UdH)akh6wJ}m^^$nqu#Ih3qZ|uQ8PSuov
zfgXp`zJ->yZ(oF%1bt8Ku}1z=mxD1+Pgi=Wao+Xv2eYWki@r;~Zp#0{6R)OAf8GD0
z6wSlhRRtDyzL3_kc|iUin-d2Q!$v$2+fI0MDoL*1v)Ulx3u@n%w(iJ^)
z`-kmacVqG!$=^|;AO)kNv|3J`JI11zHTZdpK>gW@@tf30>dna
zVi)@*6l%~Yvg%xw_+i-RPWJE7ZiEO!!ISTo(W}+Ipt@OD<5;n`));$tudI4bSZKz9
zTSeMpfDJdRzi;vdfEoh>4q^aFy*hGWEVy|z*6@Er$txG
zxiG@;{m4m2YTv}3UT2M3ryguI1@zb&(Mqmo)pw|?fkRz=Yn0w%@CQCwf6oXuC!gC^
z0RQUOr=`~`?1+{u3zghFymK{{q5#rW1V4q=-254b&_NE4l$BT>R`^1T@
z7DoE#;1J1_c}bYT?p2CL<9q@!I&8w@7_Crc&v}{@nIe1pHo-De1pJvt`4bki=L)gP
zAf!{=E)Svnm1^HcTj`~FS#JZg)jlk^xo8kBL>l-(I`>Dk>X7Z0fS*1pSWuOG
zt&NJe<$FSwen7R1HV4^8M;EZIb*nY@y2{3q?MwzJlLl%k4rVYzeauyq+gEn1hwFy8
zs<)_dFuL=pHYFKz;}8;XV_0fOUu?9N{!?YMF)y9xKINq%Sy_eMAkA<4b5V#R6yI=q
zP%_2Gkd5dAWoBnx(bb-%@46DK6%%ah2iEhplni5}*JhJ{6~6x7JwgCm-&Gm>phel}
z))iT9D}W^a%lqE^x<*Rz>u*wXY;-$i|A*GSwGqf;mfrkfJ%vSugN9vy-PK2HwX?60
zw0TI)>Ytlpgs*hjuv0fk={pvDy!_WkJ`xTG7BUzVn?JuZ2l!WO4%7)*5jYtSFQ#h@E4$@k)HHWFYFzX+m6br@HFG%PTU8~SK>V2gNTpo-1$
z`W(9<$_fj=DK=9tG>X@eT%pUdImaeevdtHy4zRE+5I(w*%#vW#6zyKxX*N+v=Fgk{
z5Tcx-@JX$@t_$QuhmLNNxSa$6#Dce5mdJubLEVLFSM~I@sSYw>Z^lB&tE9m6$c91k
zkGO@Tx0<)>aT;HB@tj|$C&&|QG#vC|+hTxxn$h9YatIFgvMW-1{T5s;CT}7hUP_0#4!@op*K0MZ&>%8Y8
zp7C?fbdB#4`}&_xsEwPEobGO6t+-@2V}4%NH@nh}LSJD&fS(BrNUB3{5gdvozDVNse1
z@=&QIE2!R8hLwUp4R-IRY?r-|rh>&zexdxr7|Kmi4!uLwvPlKTpQRugx)(L*?>;Dm
zRQo(KZRvFx
z={K}EQls-g#6-qMu&IJMX|IhG0vvgnGSs(Ss|=xEdJd;%T45s
zXS>8iVqgq<=Ri>CZb~FamId;^^-Xil%5@Jxd%pWncLzn^l=3O0zJnDE0>pi98p6jr
zYw20LU&LMjd)s^C>wf0%C}`=}$$Pz1VYWv;AyQ##=eSzGH(O|T~OoDK`b4PM9%AQKyfckxncD*zt>
zM(d8-8wF=F7wkv6N0+FCo4qr9nIeZf`5!kc_nq54o-Q`WmNEm6+2qI%eL%R)duT3P
z0$c4xd;7%sYyS0n!`G+ia`0cP6aqnMW$dO%%U$2^kohQr1;fE&T4Zrz`D_Ux7~>{1
z-%A)LHs)J*&fUDI50oQ(YK-YByZlr%u?u^4f13Vdnk!dl?TjHTU>j
zUEq3#EW@Fncr9|&YJXW~rcHtL2ezaCA|4NtIQDK|-NGnPynlX|kLemBQg7pci3dCG
zn$qvPT^Fj&$7ebQ{?4}Qgmcn;(#gk|xRE@JKm9cF-0hk&S#ypnwD(sT$rr_VZxUX8
zsz$>$SlkG}%GUi<2$9PdWjcK;w>rHWE@~X3#c~2tzM42a>@F;`Ls=xEwHc|wmWooU
zXE_YJ0LzOtf>xj4<-g@`YSj(4n7H$f$UM@GbHN$G+`9c>N90m=LN&6CEoRP`+}?~h
z^EHe-3ZRmF^A})x%bOS0UaCH2E0~5x{te%6xkmZrxoe*(<&ZjU?pWcQ3xp4MBa|$0
z75_)qeKKD}{B(QD5f$Ud)0tlKUqZ$=%
zBwY8C;Voq&N8R%3M2Xbq=$$9pV@Xg}W5^w+Ig`7rNzWfcw6ThTEn4&D{28`XVICka
zqX=6WaK&KZUkTUhYVnuHp!G04Ix1pFOPmTY-Q|_2LNl@6V05^d5VyfG2GHyAMo-_L
z_w*txk52D2K)x~p6v7s!27PjffBv3B%9F$6KVu^a=f{b*c)CH^&A>I$w+Ac_-h_d~
z-m@@nm_?QzUb)
zaXw
zI7!uR>c%Wxn|A+Rn$PjR(weqFmswy(gP!DRP~F7$*V&DP+3N-1V+42(6<)X~JkE35
z7d|)LRFjT-4d2(uJ98
z7oem1#hgOlQ#s>Mz=4_D(Gcf-3c@{+t9@
z6e(V4#Jed@8e3;y9J5Bp*3$x6w}%-T-+XF-Mw8&3KCdDL4$~_mhDa_s*S4yGQbugS
z6K$X;24us+;{;p}=pR^+x!$_;AaGG;ZB@NezD?i-wsyWDgk9(L_o)rK
z^)%ZQ)cLZD*}4x-zVE*pv@YpYa7YW4o>Pi?YF}&HRd3w1I4NHgC-O|v^|II0_1228
zNhwxH*y+o&iR?Rs61yFkQT!&|dNPlZLoS5hQ2-~B>gjIl>i?x>!Yf_jAR1K?({F$`sknt3e6YgYvm2G-~Fd7}WVnOr;1{FG#ovxDWeQDA+_V{Ui!k|C8t
zm11q{GYc`elyegb_%=#;pIM>stL0%mJe)zZwyKlp7}eP%9@pk}Bfc9J1)_%hLv+T$
zth}Prl8dnV6#b$oM-$!%=D91XOO~pPcwU@=LRqLo+TzIc7{jw7H?`S2zz7|dt=Qn|>x8k&
z$a`&!8e&EQN0YNq09j@pI?8n=Bh;8?N*5y0Ro-DP0f6mNcrF{vLU?4Zbd3w8MKNOe
zY~4dihL_T0jL;=fdY6-WqrNH&|6EM76|itvuo*K`oQ{|eH?ma$ynz`oFid{{;i>f`
z!GwQm7C<>{@CIb-Z$`sU1Y$CfBYgHd8zg>K%UKYQxdllC@WSNw&c~m!M6K^8Dj`ue
z;Mg%6f$cs95zqIke1P}w&{=LzA3>v1V-sX6S9p%n>}?B-MAUBWy{yv#^DE^Vv;0Nb
zY92-uRfWi@%RZlMggd@B!MU6hLcD
z8l{)%f*%jICH4&cVytuSf$YbJ81hISD*dqSEC>Nl*}N`rIQ4YR;9|O}jrf;*D%_g#
zID==KktAzisOkw(<4|knri)N1!
z^}I)O5s75;CQrjWXNcfkgLGMGdLV6mR3a@jBbzsq*Yw@R^wVNwz|j1?`Me3kJcBRr
zAKs>@G#g{(yf;EPo_}t>c3AMe{Hn%pUQt=KgL{Kr7Dt=#8IlZ#
zs8JkE_fh{0#cV+tWGLc$5cMLJBfLuB(@w+v9Yab?#3@Zo-c;9(XkuO%Q8P`Nh~^9A
zRW$lSlWUO{eF1)0#Md5Qv{G-G(D?NHZdWoG(r8QPI{j4rs2(mKXx2Qj0I~C-T4nB`
z0@6@-%w9A~wY>ek{?oBJtlLXh>ZA9JbV