view nime2012/TheTriangle.graffle @ 40:01639248a310

better diagram. study particpants report.
author Henrik Ekeus <hekeus@eecs.qmul.ac.uk>
date Wed, 08 Feb 2012 01:57:06 +0000
parents edbd4d53829b
children 5d50a5ded349
line wrap: on
line source
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>ActiveLayerIndex</key>
	<integer>0</integer>
	<key>ApplicationVersion</key>
	<array>
		<string>com.omnigroup.OmniGrafflePro</string>
		<string>138.17.0.133677</string>
	</array>
	<key>AutoAdjust</key>
	<true/>
	<key>BackgroundGraphic</key>
	<dict>
		<key>Bounds</key>
		<string>{{0, 0}, {559.28, 782.89}}</string>
		<key>Class</key>
		<string>SolidGraphic</string>
		<key>ID</key>
		<integer>2</integer>
		<key>Style</key>
		<dict>
			<key>shadow</key>
			<dict>
				<key>Draws</key>
				<string>NO</string>
			</dict>
			<key>stroke</key>
			<dict>
				<key>Draws</key>
				<string>NO</string>
			</dict>
		</dict>
	</dict>
	<key>CanvasOrigin</key>
	<string>{0, 0}</string>
	<key>ColumnAlign</key>
	<integer>1</integer>
	<key>ColumnSpacing</key>
	<real>36</real>
	<key>CreationDate</key>
	<string>2012-02-02 16:27:54 +0000</string>
	<key>Creator</key>
	<string>Henrik Ekeus</string>
	<key>DisplayScale</key>
	<string>1 0/72 in = 1.0000 in</string>
	<key>GraphDocumentVersion</key>
	<integer>6</integer>
	<key>GraphicsList</key>
	<array>
		<dict>
			<key>Bounds</key>
			<string>{{62, 144}, {227, 19}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>40</integer>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>fill</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Pad</key>
				<integer>0</integer>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf0 Low Predictive Information Rate}</string>
				<key>VerticalPad</key>
				<integer>0</integer>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{6, 133.5}, {41, 38}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>39</integer>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>fill</key>
				<dict>
					<key>Color</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0</string>
					</dict>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{60.5, 96.5}, {231, 19}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>37</integer>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>fill</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Pad</key>
				<integer>0</integer>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf0 High Predictive Information Rate}</string>
				<key>VerticalPad</key>
				<integer>0</integer>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{6, 86}, {41, 38}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>36</integer>
			<key>Shape</key>
			<string>Rectangle</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{67.9824, 329.089}, {141, 29}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Color</key>
				<dict>
					<key>w</key>
					<string>0</string>
				</dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>35</integer>
			<key>Line</key>
			<dict>
				<key>ID</key>
				<integer>34</integer>
				<key>Position</key>
				<real>0.48214036226272583</real>
				<key>RotationType</key>
				<integer>4</integer>
			</dict>
			<key>Rotation</key>
			<real>303.79998779296875</real>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf0 More Redundancy}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>34</integer>
			<key>Points</key>
			<array>
				<string>{192, 265}</string>
				<string>{81, 428}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>stroke</key>
				<dict>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>0</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{337.631, 329.571}, {155, 29}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Color</key>
				<dict>
					<key>w</key>
					<string>0</string>
				</dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>26</integer>
			<key>Line</key>
			<dict>
				<key>ID</key>
				<integer>25</integer>
				<key>Position</key>
				<real>0.48809188604354858</real>
				<key>RotationType</key>
				<integer>4</integer>
			</dict>
			<key>Rotation</key>
			<real>54.299999237060547</real>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf0 Higher Entropy Rate}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>25</integer>
			<key>Points</key>
			<array>
				<string>{359, 265}</string>
				<string>{474, 427}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>stroke</key>
				<dict>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>0</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{377.579, 327.535}, {153.141, 29}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>Vertical</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Color</key>
				<dict>
					<key>w</key>
					<string>0</string>
				</dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>23</integer>
			<key>Line</key>
			<dict>
				<key>ID</key>
				<integer>21</integer>
				<key>Position</key>
				<real>0.48372960090637207</real>
				<key>RotationType</key>
				<integer>4</integer>
			</dict>
			<key>Rotation</key>
			<real>54.299999237060547</real>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf0 Lower Entropy Rate}</string>
			</dict>
		</dict>
		<dict>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>21</integer>
			<key>Points</key>
			<array>
				<string>{509.294, 419.836}</string>
				<string>{395.295, 259}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>stroke</key>
				<dict>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>0</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{483, 553}, {41, 19}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Color</key>
				<dict>
					<key>b</key>
					<string>1</string>
					<key>g</key>
					<string>1</string>
					<key>r</key>
					<string>1</string>
				</dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>17</integer>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>fill</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Pad</key>
				<integer>0</integer>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf1 Noise}</string>
				<key>VerticalPad</key>
				<integer>0</integer>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{36, 553}, {74, 19}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>16</integer>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>fill</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Pad</key>
				<integer>0</integer>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf1 Periodicity}</string>
				<key>VerticalPad</key>
				<integer>0</integer>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{240.5, 240}, {73, 19}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Color</key>
				<dict>
					<key>b</key>
					<string>1</string>
					<key>g</key>
					<string>1</string>
					<key>r</key>
					<string>1</string>
				</dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>15</integer>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>fill</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Pad</key>
				<integer>0</integer>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf1 Repetition}</string>
				<key>VerticalPad</key>
				<integer>0</integer>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{6, 181}, {542, 399}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>13</integer>
			<key>Rotation</key>
			<real>180</real>
			<key>Shape</key>
			<string>VerticalTriangle</string>
			<key>Style</key>
			<dict>
				<key>fill</key>
				<dict>
					<key>FillType</key>
					<integer>3</integer>
					<key>GradientCenter</key>
					<string>{0, -0.666667}</string>
					<key>GradientColor</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0</string>
					</dict>
					<key>MiddleColor</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0</string>
					</dict>
					<key>MiddleFraction</key>
					<real>0.51587307453155518</real>
					<key>TrippleBlend</key>
					<string>YES</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>VerticalPad</key>
				<integer>0</integer>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{30.8881, 332.099}, {139, 29}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>FitText</key>
			<string>YES</string>
			<key>Flow</key>
			<string>Resize</string>
			<key>FontInfo</key>
			<dict>
				<key>Color</key>
				<dict>
					<key>w</key>
					<string>0</string>
				</dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>29</integer>
			<key>Line</key>
			<dict>
				<key>ID</key>
				<integer>28</integer>
				<key>Position</key>
				<real>0.48097380995750427</real>
				<key>RotationType</key>
				<integer>4</integer>
			</dict>
			<key>Rotation</key>
			<real>303.79998779296875</real>
			<key>Shape</key>
			<string>Rectangle</string>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
			<key>Text</key>
			<dict>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf360
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\qc\pardirnatural

\f0\fs32 \cf0 Less Redundancy}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>FontInfo</key>
			<dict>
				<key>Font</key>
				<string>Helvetica</string>
				<key>Size</key>
				<real>16</real>
			</dict>
			<key>ID</key>
			<integer>28</integer>
			<key>Points</key>
			<array>
				<string>{47, 427}</string>
				<string>{158, 259.836}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>stroke</key>
				<dict>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>0</string>
				</dict>
			</dict>
		</dict>
	</array>
	<key>GridInfo</key>
	<dict/>
	<key>GuidesLocked</key>
	<string>NO</string>
	<key>GuidesVisible</key>
	<string>YES</string>
	<key>HPages</key>
	<integer>1</integer>
	<key>HorizontalGuides</key>
	<array>
		<real>427</real>
	</array>
	<key>ImageCounter</key>
	<integer>1</integer>
	<key>KeepToScale</key>
	<false/>
	<key>Layers</key>
	<array>
		<dict>
			<key>Lock</key>
			<string>NO</string>
			<key>Name</key>
			<string>Layer 1</string>
			<key>Print</key>
			<string>YES</string>
			<key>View</key>
			<string>YES</string>
		</dict>
	</array>
	<key>LayoutInfo</key>
	<dict>
		<key>Animate</key>
		<string>NO</string>
		<key>circoMinDist</key>
		<real>18</real>
		<key>circoSeparation</key>
		<real>0.0</real>
		<key>layoutEngine</key>
		<string>dot</string>
		<key>neatoSeparation</key>
		<real>0.0</real>
		<key>twopiSeparation</key>
		<real>0.0</real>
	</dict>
	<key>LinksVisible</key>
	<string>NO</string>
	<key>MagnetsVisible</key>
	<string>NO</string>
	<key>MasterSheets</key>
	<array/>
	<key>ModificationDate</key>
	<string>2012-02-08 00:22:38 +0000</string>
	<key>Modifier</key>
	<string>Henrik Ekeus</string>
	<key>NotesVisible</key>
	<string>NO</string>
	<key>Orientation</key>
	<integer>2</integer>
	<key>OriginVisible</key>
	<string>NO</string>
	<key>PageBreaks</key>
	<string>YES</string>
	<key>PrintInfo</key>
	<dict>
		<key>NSBottomMargin</key>
		<array>
			<string>float</string>
			<string>41</string>
		</array>
		<key>NSLeftMargin</key>
		<array>
			<string>float</string>
			<string>18</string>
		</array>
		<key>NSPaperName</key>
		<array>
			<string>string</string>
			<string>A4</string>
		</array>
		<key>NSPaperSize</key>
		<array>
			<string>size</string>
			<string>{595.28, 841.89}</string>
		</array>
		<key>NSRightMargin</key>
		<array>
			<string>float</string>
			<string>18</string>
		</array>
		<key>NSTopMargin</key>
		<array>
			<string>float</string>
			<string>18</string>
		</array>
	</dict>
	<key>PrintOnePage</key>
	<false/>
	<key>QuickLookPreview</key>
	<data>
	JVBERi0xLjMKJcTl8uXrp/Og0MTGCjUgMCBvYmoKPDwgL0xlbmd0aCA2IDAgUiAvRmls
	dGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeAG1V01vGzcQve+vmKN8MM0hh1/Xuima
	oC2SWEAORQ+GIlcKrDiRlBT5932zWlJra9UECQrD8JrL+X7zZvYjvaKPZPETQqGUHW2X
	9Ibe09X1jmmxI+5/dgu6tCaQNb5YyxL1unFZJUwuEOru6OrlcrtYfth/ur2n7RpqQ5Re
	tTimy0Cck95dbOjq+Ybp54fedvT9nWj1ShSPK93hipu8EkqEE4OW4QrTC7j5jq5eL+9v
	9+vPy+uH+4fterPcb9eLDr700Vzf9JYs3VzDOe7/udQ/QxCwKonEJdoQB2eC85FczMZm
	GLynm+7VoADp4BBNkULBsZFkDzLWWCdCgaORGBJkOAScIVGBvUHe9GxVhbuR8B1Uv8Dv
	u3OuVYMuwiAX3zs5GHQRBp34bmTQxWKSeD82iGia8A2y34orxXCKcNNnhFWEO6TARRMs
	ewoWubDcRwMQlFJIcM3HHHCWvHFJspBP1uTIsTc4pRAIud45BZUlZBCwMyFEVwJQYrK3
	JSP9xycF3PCaLYCXM5P4aFxhrwj5aU4wptC9xN/LKMaKK4kCcDoHxn5hYxHh/I7+pNlv
	FwpgR7Nlfdjt6ALWXDd7XY/au7f15FN9eF8f2qvbetJeLb5cdH/R/AU9myO32ldBMjlk
	D6jfkEuJomX95x5OIo0llvpaUfHo9pvuvR4gFlWAymwgI5BBix5O+oogWIuGzNDc34Lm
	Xqj9uyLVNNXgT7u1bwXNmDoqB3XaiDcrpt3qEFE3oag1nzLGN/SYhhmyBcLUEKOqo3Tg
	RY+f4RKiVpxW3MARxU1rXVUQvAcfDIBAP1jraI7+HEEDoLHOa2OeQGP2evlhuV/v1w8o
	4/wdSocmH1lInpxT1lPCeYI4qC2qd0ItEPdyedEdILddV6g81IeGovZq0Z72PSxp9uWC
	Gpq6kUvBekXFOa9wLsGzm/bqj+pUc6XZ3QH+zeA4B2OCDBa0X4TAQGjZGFBFAaYtF7gU
	k7EJmAZVHorWTxCFTN/wvmduzZdzxnvQyIZ8AcQTg0cZ/ZuyUpggQGXKwMkESapvhYtK
	+4+Fv8aZXRNyUckEHTOyqMyemZWRq0UXg/E6rR5ZrMKI9TFpItUJtAtH0dUZjqJH2Rq2
	mHsewy44DEpoB1mCyXqCBAEgHjiWDBc8ShFTYnC9RZlQOEWa2QdBgYGuzA7DKTx5DMMF
	CYKZUxyJ4GqQ2iXj3gBpJ3sWLo02G1z+OUC4OxLp9sCjNHvWmLBCeNvEPlTkf6m3G+ve
	VkhWqUc4rOwyaoAxHj22FlQNmReUEzPPd8LZFJc0pZMwlOTQt2AJH5IRYEqFNQ2YsARI
	m1hwhrLhMTvPnY+gVheHGk1Ifw2HUH8w2YkDiYd+W2gmBTDngrOjSSwh1sTo8wEW1eRI
	WncR7n/AiD6zAY9iUgN9cdDOJnoNMotJaBsox2CwqWDGo08BfI1RU4BrpZPiTcxy2BYm
	9P0QDDkY9jZiemvHFZ6Y3ghRssX8P6VocOmvFT2NrP6uMFzVV214fzceB7pug/178Mjo
	NuARVKFNn3SD7KmSz+MRG7SNBdPJY6WUaAV4zMXY4MBXHgsbSuhAiyikBa5xhIpG1pKu
	aEr4a3DsmpBgxcPOFMcWQX/YKYJCr1rUjmKXD5vdifBTWkTgicUr9HSr7BdVtBI2amyS
	IHHkA7oZLx3sgAGxhNm+4xjwBaOVzmOptIKXfYin+qbQ+I2bJCAoGZyNxjfe8hQWdQgk
	tphJJ+sCsPh747Rtg9z/u0mefIpFigGdhOkBgGT9YrsDFRw+gSZ4UtstAo/H6+OdatjF
	206F7wCKKar605WHtZUjzCI13cmSfbZNadbatNL/y2P23tYB0Lp7UVuvnXx+kmuaPR/W
	pDZ07oZ1/lifzUkrN33tUhOvjn3jXKpFadsNsoY1AIviqChni8FYWgH9Wr7/rofCEJ9J
	00soeBwEodvSVEXOzm+a1XgfFWL4SFrXivxAIWg25LibbX+0EINb+4uufsMdF9VX/wJ2
	iHToCmVuZHN0cmVhbQplbmRvYmoKNiAwIG9iagoxNTA2CmVuZG9iagozIDAgb2JqCjw8
	IC9UeXBlIC9QYWdlIC9QYXJlbnQgNCAwIFIgL1Jlc291cmNlcyA3IDAgUiAvQ29udGVu
	dHMgNSAwIFIgL01lZGlhQm94IFswIDAgNTU5LjI4IDc4Mi44OV0KL0Nyb3BCb3ggWzAg
	MCA1NTkuMjggNzgyLjg5XSA+PgplbmRvYmoKNyAwIG9iago8PCAvUHJvY1NldCBbIC9Q
	REYgL1RleHQgL0ltYWdlQiAvSW1hZ2VDIC9JbWFnZUkgXSAvQ29sb3JTcGFjZSA8PCAv
	Q3MxIDggMCBSCi9DczIgMTMgMCBSID4+IC9Gb250IDw8IC9GMS4wIDE0IDAgUiA+PiAv
	WE9iamVjdCA8PCAvSW0yIDExIDAgUiAvSW0xIDkgMCBSCj4+IC9TaGFkaW5nIDw8IC9T
	aDEgMTUgMCBSID4+ID4+CmVuZG9iagoxNSAwIG9iago8PCAvQ29sb3JTcGFjZSAxNiAw
	IFIgL1NoYWRpbmdUeXBlIDMgL0Nvb3JkcyBbIDAgLTI2Ni42NjY3IDAgMCAtMjY2LjY2
	NjcgNTM5Ljg5ODIKXSAvRG9tYWluIFsgMCAxIF0gL0V4dGVuZCBbIGZhbHNlIGZhbHNl
	IF0gL0Z1bmN0aW9uIDE3IDAgUiA+PgplbmRvYmoKMTEgMCBvYmoKPDwgL0xlbmd0aCAx
	MiAwIFIgL1R5cGUgL1hPYmplY3QgL1N1YnR5cGUgL0ltYWdlIC9XaWR0aCAxMjYgL0hl
	aWdodCAxMjAgL0ludGVycG9sYXRlCnRydWUgL0NvbG9yU3BhY2UgMTggMCBSIC9JbnRl
	bnQgL1BlcmNlcHR1YWwgL1NNYXNrIDE5IDAgUiAvQml0c1BlckNvbXBvbmVudAo4IC9G
	aWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Ae3QAQ0AAADCoPdPbQ8HESgMGDBg
	wIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYM
	GDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIAB
	AwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBg
	wIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwICBt4EBsTAAAQplbmRz
	dHJlYW0KZW5kb2JqCjEyIDAgb2JqCjIyMQplbmRvYmoKOSAwIG9iago8PCAvTGVuZ3Ro
	IDEwIDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRoIDExMjgg
	L0hlaWdodCA4NDIgL0ludGVycG9sYXRlCnRydWUgL0NvbG9yU3BhY2UgMTggMCBSIC9J
	bnRlbnQgL1BlcmNlcHR1YWwgL1NNYXNrIDIxIDAgUiAvQml0c1BlckNvbXBvbmVudAo4
	IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Ae3QgQAAAADDoPlTH+SFUGHA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY
	MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED
	BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA
	gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAwMvAAHy1AAEKZW5kc3RyZWFtCmVuZG9i
	agoxMCAwIG9iagoxMjQ0NwplbmRvYmoKMjEgMCBvYmoKPDwgL0xlbmd0aCAyMiAwIFIg
	L1R5cGUgL1hPYmplY3QgL1N1YnR5cGUgL0ltYWdlIC9XaWR0aCAxMTI4IC9IZWlnaHQg
	ODQyIC9Db2xvclNwYWNlCi9EZXZpY2VHcmF5IC9JbnRlcnBvbGF0ZSB0cnVlIC9CaXRz
	UGVyQ29tcG9uZW50IDggL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngB7J33
	X9XI38W/6za7orjYe28siuuKsqIoLnaxiwW72BdFUVwUGy6KHbvYcFHW3nbd8nr+tecz
	k2Rmcm9uT3Jzcw8/rHBvMpOczJydk0nm/b//4QcKQAEoAAWgABSAAlAACkABKAAFoAAU
	gAJQAApAASgABaAAFIACUAAKQAEoAAWgABSAAlAACkABKAAFoAAUgAJQwAMKfCF+PHAw
	OAQoAAV8pwBZTBvlh/703SnihKAAFEimAobJfPnll199Rf/hhgOrSeYlQd1QwG8K8JEM
	s5iv9R9mNsxrMKbx26XG+UCBZCnAbOZL5jHffPttW/r59ttv6I+vmNPAaJJ1UVAvFPCX
	AmQzzGW+IY9p1759hw7t27cjryGrYU4Do/HXxcbZQIHkKMBshrtMu/YdOnbq1Llzp04d
	O5DVMKeB0STnmqBWKOAzBTSb+bZtOzKZzl26ZtBP1y6dyWrIaWA0PrvYOB0okCQFvqDR
	zDfMZTp3ycjontmDfjK7Z2R06cyc5hsa0SA5JenKoFoo4BsFDJvp1CWjW+Z3Wb1600+v
	rO8yu2V06QSj8c1lxolAgWQqQKnpq69pNNO5a7dMMpm+/QbQT7++ZDWZ3bp2JqP5+ivc
	C07mBULdUMAHCnxBNvMt2UxG9+969uk3cPCQocOGDR0yeGC/Pj2/655BRvMtGQ2Skw+u
	NE4BCiRNAZaauM1kZvXuN3DI8JGjxowdO2bUyOFDBvbrnZWpGQ1u0STt+qBiKOADBVhq
	+qYtjWYys/oMGDx81Njx3+dMmJDz/fixo4YPHtCHG03bb5CcfHCpcQpQIGkKsNTUtn0n
	spm+A4eMHJs9IXfylLy8KZNzJ2SPHTlkYF8ymk7t2S0aJKekXSNUDAVSXAEtNXXs2p1s
	ZuiocTmTpkz7qWDGjIKfpk2ZlDNu1FAymu5dO9ItGiSnFL/SOHwokDQFjNTULasP2Uz2
	xMnTCgqLfi4u/rmosGDa5InZZDR9srp17oDklLRLhIqhQMorwKe023fO6NF7ANlMbt5P
	hXPmLVy8ZMnihfPmFP6Ul0tGM6B3j4zOPDm1SfnTxQlAASjgvgJGasrs1W8Is5mC2XMX
	laxYtXr1qhUli+bOLmBGM6Rfr0wkJ/evDWqEAj5RQHsQuENnujkzeMR4spmi+SUrSteX
	0c/60hUl84vIaMaPGEy3aFhywi0an1x2nAYUcFUBnppoSvu73gOHj50wpaBowdLV6zdt
	3V5evn3rpvWrly4oKpgyYezwgb2/o6do+GPBrh4eKoMCUCD1FZCpqf/Q0Tk/Ti9asKy0
	bGv5nn379+/bU761rHTZgqLpP+aMHtofySn1rzbOAAokRQE9NXXpntVv8KjsH/Jnz19W
	unH77l8qD1dVHa78Zff2jaXL5s/O/yF71OB+Wd27IDkl5SqhUiiQ0gpor0/qqWlc7tTC
	eSWlG3fsO1hVXXP8eE111cF9OzaWlswrnJo7Tk1OeFwvpa86Dh4KuKsAT03tO3XN7NV/
	6JicKTOKl6wu27Gvsvr4qTNnz545dby6ct+OstVLimdMyRnDk1On9nhaz91LhNqgQKor
	oKQmmtKePL1o0coN2/dVHqs9+9uFhoYLv52tPVa5b/uGlYuKpk9mk9tITql+xXH8UMB1
	BWRq6jNw+LjcabPmL1+3bU/lsZN1Fy5dpZ9LF+pOHqvcs23d8vmzprHk1EfMOSE5uX61
	UCEUSE0F9NSUkdlrwLAxE/Jmzi0p3bz7QPXJcw1XG2/RT+PVhnMnqw/s3lxaMndm3oQx
	wwb0Yi9UIjml5uXGUUOBZChgSk3fT54+Z9GqsvKKI7V1DVdv3r3f1HT/7s2rDXW1RyrK
	y1YtmjN98vdITsm4TKgTCqSyAmpqogeB82cvWL5+276q42Qzt+49ePT48aMH926R0Ryv
	2rdt/fIFs/PpsWAkp1S+4jh2KOC+AiI19R4wbKyWmrbsrvz19AWymUfNv7e0/N78iIzm
	wulfK3dv0ZLT2GEDeiM5uX+pUCMUSFUFeGpq17FLZk96fZKlpsWrNu6sqD5Zf/km2UxL
	K/20kNHcvFx/srpi58ZVi/Xk1DOzS8d2eM8pVS87jhsKuKmAsujMoBHjJ1FqWrF++76q
	E3WXGu8+bH7W+pJ+Wp81P7zbeKnuRNW+7etXUHKaNH7EICxF4+ZlQl1QIKUVYMMZvlQn
	S00Taa5p6doteyprzjRcu/2g+dkfL9/Qz8s/njU/uH2t4UxN5Z4ta5fSnNNEIzm1xYvb
	KX35cfBQwA0F+M0ZmZoKfl68mqWmU/VXbjU9afnj1Zt379+/e/Pqj5YnTbeu1J9iyWn1
	4p8L+JwTT06Y3HbjMqEOKJDKClikpg3b91fVnqPU9Oj31ldv3n/4+PHD+zevWn9/RMnp
	XG3V/u0bkJxS+ZLj2KGA6woYqYmW6hxOqalw3tK1Wyk1nW24fudh8/OXb95//EQ/H9+/
	efm8+eGd6w1nKTltXbt0XiElp+FsEU+GP8Cq5K5fN1QIBVJIAT01dWVzTbToTMHPS1Zv
	2nmAUtNVSk3PXjCb+Yt+mNG8eEbJ6SolpwM7N61e8nMBLUUzpF9PLOKZQlcbhwoFkqKA
	TE19B42kRWeKFq7YsIOnphv3HrW0vnr34dNfn+nnr08f3r1qbXl07wZPTjs2rFhYREvR
	jBzUF/iDpFw4VAoFUkgBAwvXgy3VyVLTMkpNh7TU9LSVUhPZzN/0Q0ZDyan1qZacDlFy
	WqYlp4F6cgI4LoWuOg4VCriqQGBqKl6yZtOuA9Wnz1Nqauap6c/Pf/9DP39//pMnp2ZK
	TudPVx/YtWnNkmIkJ1cvFiqDAqmpgJKaBmupaWXZjv1Han+7xFLTH6/fffxENvMv/ZDR
	fPr47vUfPDn9Vntk/46ylVpyIvwBwHGpeflx1FDAFQW01MSwcJSaaKnO+cvWbdvLU9Pd
	h5Sa3rLUxG2GjIYlp7csOd1lc06H9m5bt2w+LeLJ8AcGOA4r0bhy1VAJFEgpBURqoqU6
	2VwTpabNuw4aqYndnGGpiQ1n+IDmT3aL5pmenA7u2qwnJ+APUuqi42ChgLsKBKSmn2ip
	zrLyX7TU9FhJTf/Rj5KcHtOcEyWnX8rLaBHPn2jOCcnJ3euG2qBAKikgYdp6aqKlOvce
	rqlroNcnWWpiU9psNKP5DE9OH7Tk1NhQV3OYktPywOQE5HYqNQAcKxRwXgE1NRHgoKCY
	LdV58Jg+16SnJt1m2IDmX5pzUpLTsYNsEc/iAgN/0LEd3nNy/qKhBiiQWgowm/mmLYNp
	MyzcZEpNtFTnL0drf7t8876WmrSbM2w0w360WzR8zunx/ZuXf6s9SslpFSUnwh8wcByQ
	26l1/XG0UMAFBdjNma/JZjhMmwAHhfPZUp2Hj9ddpNcnn7a+MqUmzWf05PSq9Sm9UHmx
	7vhhtojn/EKOP5DIbUw6uXD1UAUUSA0FtNSkYOH01HTh6u0m/vokexBYpCbdaPTHgp83
	N92mRTz15CTBcUhOqXHtcZRQwCUF9NSkw7T11FRxtJaW6rRMTRbJqb72KMcfiOQE5LZL
	Fw/VQIHUUCAwNREWTqYmWnQmKDUFJCe2FI1ITho4DskpNS49jhIKuKYAT00GTHtC3gw+
	18QBB7RUJ1t0Jig1BSanByw5Ef6AzTnNIHAckNuuXTxUBAVSQwElNXGYtoaFO8oAB5Sa
	XtB7Taa5pv/7P+Yy9CPmnF60sDmn+pNaciL8AZDbqXHlcZRQwDUFZGoSMG2GheOAA7ZU
	Z2BqUnxGzDnxRTwZ/oDNOQG57dq1Q0VQIFUU0FNTRiYBDgRMu/LXMxcY4MAiNQmf0Z7W
	40vRPGf4gwtntOSkI7cBjkuVFoDjhAKOK8BTU7sOXborWLhyhoW7cuv+kxa2VGdAavo/
	+tGCk5GcaBHPlif3CX9A4LhyBRzXvUsHgOMcv4CoAAp4XwElNelYuOUCC2ekJvaWtu4s
	/zGXET7DjYYW8Xyr4w80cBxDbnNw3HcZ9Fjw11+1aYOn9bzfEHCEUMBBBdTUxGHaS0sJ
	pq1j4fTUZLw+ybwm0Ge0pWgY/kAHxxFym4HjJhjgOLzn5ODVQ9FQICUU4DajYOHmmLBw
	IVKTMqLR55x4clLAcXMAjkuJy4+DhAJuKMBSE3t9sltWHxNM28DCEeCAr21lTk2Kz2i3
	aDj+QAPHAbntxnVDHVAglRRgwxkG0yYsHINpMyycDtO+I+aaglOT2WeU5HRHILc5/mAY
	wHGp1BhwrFDAGQVMqYlh4VhqYlg4DtMOk5oUpwlOTgc05PaPOaMYOK4LlqJx5uKhVCiQ
	GgrI1NRXS02EhdNh2gYWLkRqUnxGSU6EPxDI7YXanBPwB6nRFHCUUMAxBWRq0rFwDKYd
	gIWzTk1mnzGSkwqO05HbBjgOyG3HriIKhgKeVkBPTYEwbb5UpwbTtnhCjzmM8aPfHZbJ
	iSO3GTgOyG1PX3kcHBRwTQE1NelYOAWmTVg481yTYS7qv6rR0JyTDo47V1u1f8cGHRwH
	5LZrFxQVQQEPKmCCaXMs3NqtGhbujgkLp5mJai/yd+07WmhPguPuaOA4Qm5L/EGn9uyx
	YDwV7MFWgEOCAo4qIFNT/yE6Fi4Ypi2X6pTeov4mBjQMfxACud2/Z2ZXzDk5ei1ROBTw
	qAJKapIw7RBYOHIT1VzU34XRCOS2AY4DctujVx6HBQXcUyAICxcCpq0ZiWot5t+1703J
	KTRyG+A49y4waoICyVdApCYO02ZYOAbTDoWFCzmcEW9uk9EEguMIuc3BcaOB3E7+9cYR
	QIEkKECpiWPhumX1ZalJx8IRTPvyDSvAgXkIY/5LTU5/6uC4GwSOY8htBo5TkNtfY4WI
	JFxrVAkFkqWAgYXr0Xvg8HFsrolg2hILZ4Zph745oxmOKTlx5LbAH2jI7XHD2dN6+lI0
	yTpj1AsFoIDLCqipiWDaGuCAUtOFq7eamp8FwrTDpCbmNGJAY0pOweA4zDm5fJVRHRRI
	qgLMZmKAaZtzUvBfwmhozslITkBuJ/UKo3IokHQF2JS2CtM2YeGCYdrBxhL4SUByCkBu
	AxyX9CuOA4AC7iugpaYAmHYlS01WMO1AU7H6WxhNAHJbB8dNydHBcUBuu3+1USMUSIoC
	empiMG2OhStatKqsvMLAwtF7TVaAAyt3kZ9ZJycDHFcEcFxSLjQqhQLJU0CmJhMW7njd
	xca7BuDgs7IahHST0L8Jn+HvORn4A0JuAxyXvAuNmqFAEhXgqUmDaTMsnIRph8TChfYX
	4xvdZ2jJK5pzUsBxKnJ7WP9emV07tQf+IInXHlVDAZcUMKWm7ydP12DaDAt3k2Hh4klN
	zG3EiEafc2LguJsaOI6e1iPk9ve0iGcWgePafvM11rxy6VqjGiiQJAVMqWl8br421xQO
	pm2MWcL/K3zGlJwuCeR2fu744QP7AByXpMuOaqGAqwroqUmFaRMW7tczDUpqUm7ORHhE
	T3qPkpz4UjQCHEfI7S2lJUBuu3qVURkUSKoCPDVJLNz0OYtXbdRh2k0hYdrSTcL9JkY0
	PDkJcFwAcpvhD5CcktoGUDkUcFgBIzVJLJwZpk1Ldf4VDNMO5y7yOzmi+edvQm6/s0Zu
	Z3UDctvhi4zioUCSFVBTkxmmHQkLJ/0k1G/SZwz8ASG3NXAckNtJvu6oHgq4qAC3GZma
	NCxcRZRYuFD+Ij8PkZxOVVdo4Dg+5wRwnIsXHFVBAfcVYKkpAKbNsHAnIsO0pZeE+02O
	aNginiI5nTtRtX/7hhULNHBcH56cvvkKS9G43wBQIxRwQQE2nNFh2sMDYNoPm1vZahB/
	qQ8CRz3XZHiP9BkjObU2PwxAbg8HctuFK40qoEDSFFBTEwMcEEx7E4dp06IzUWHhDD8J
	/W9QcuLguPpTHBy3+OeCH3NGA7mdtAaAiqGA8wrI1NR30MjsSflFAqZ9IwqYdmhvUb+R
	IxojORFy+8YlBo6j5LSwKH9S9kiA45y/1qgBCiRLARMWbmJe4bxlscC0VTcJ/bv0GZGc
	nj7UwHF7CBw3rzBv4li+iCfAcclqBqgXCjipgJ6aFJj2mtixcKEdxvhGJCdLcJxITgDH
	OXmtUTYUSJICSmoysHAE0z5Se+4SS01RwbQNKwn/rzAaLTkJ5PYRidwe3BdzTklqBqgW
	CjiqgJaaOmcwwMFYDtNep8O070YN0w5vMMa3mtFYgeO2rlOQ252B3Hb0gqNwKOC+AiI1
	9RIw7c27DlSfPs8BBy9oSvvPz3+TN+ijEcMz4vlXDGh0/MGLZ81Nt66eP119gMBxS4r5
	nBNbigb4A/ebAWqEAk4qEJCaCAu3smxH7DDt6GxHGA1LTho4juacGDiOkNtmcBye1nPy
	qqNsKOCuAkEwbcLC7T1cU9fQaHdqYlZklZwaG+pqDu/dpoHjtDknLTkBue1uU0BtUMAp
	BZTUNHR0TgIw7RgHNCZw3PnTxw4Cue3UJUa5UCDZCjCbCcbCxQXTjtFoKDkZ4DgVuT05
	e9RgWsSTVojAUjTJbhyoHwrYowC7OaNi4QimvV6Bab96S4vOKO81RWcl4bcyJSeGP3gq
	kNvrl88vnJbLkNtYxNOe64tSoIAXFFBTU8Iw7fD+YnwrbgWbkhOQ215oDjgGKOCEAnpq
	Yli4waOyJ9NcE8fC1dZfvnn/MXtCL3YsnGEnof8VRqMkp5uX62uPVpQT/qDoJz05AX/g
	xBVHmVDAdQUCU5MJpv17a2BqinkxCGuvET5jwh8QOO7wvm2UnIDcdr0doEIo4KQCPDVp
	WLihYyZMkVi4q7cfND/XFp1RntCz12cCwHFXLwhw3JQJOnIb4Dgnrz7KhgKuKKCkJg7T
	1rBwCcG0rUcwgZ+KEY05OZ3UkhOB47IBjnOlBaASKOC4AjI12QfTDnQU67+FzwQmJyC3
	Hb/qqAAKuKuAnppULNxmwsKdvqBg4exPTcx5dJ8JSE7XjOQEcJy7DQG1QQHnFDClJg2m
	rWPhNJj2eyfmmozxjRjR8OT0/rWC3N4I5LZzFx0lQwF3FVBS06ARDKa9gD2hZ4Zpx4uF
	M9wk9L9yRMPBcfS03u/0tJ6B3F4wi5DbIwYBue1uk0BtUMB2BdTUxLFwJaW2wLRDe4v6
	jfQZYxFPAsfdvtZwRiK3xw4b0DszoxPmnGy/9CgQCrilALcZBQvHYNo77cPCqZ5i/XtA
	cnpDyanp1hXCHxA4btXiOQUAx7nVFFAPFHBKAZaaArBw67crqYlg2p+dS03MeeSIhm7R
	SHBc3YmqfdvXAxzn1IVHuVDARQXYcEbHwg0jLNzMeUtLt+yprDnTcC1xmLb1+CXwU+kz
	SnIywHGlS+fNJPwBJacelJzafv1lmy9cFAdVQQEoYIcCptSUM9lumHagp1j/HS45rSZw
	3OQceloPyG07rjfKgAJJUMAiNTGYNgEOGu8+aml95XxqYs4jRzRGcmphc046OA7I7SQ0
	DFQJBWxUQElNBkx7K6Wmsw3X7zDAQcIwbevxS+Cn0meM5NSqg+MqCRy3VAPHITnZeN1R
	FBRwUQE9NSlYONth2oGeYv13UHJSkdtLAI5zsU2gKihgswIyNUmY9g6emmzGwlmbi/qp
	ajQ05yTAcVUEjgNy2+brjuKggJsKWMG09x4Sqente9uX6lStxfy7ZjQmcJyG3N4L5Lab
	bQJ1QQGbFZCpSWDhnIBpm/0k1F9iQGOJ3NbBcT0BjrO5DaA4KOCwAkpqMmDaAgvHYdof
	TU/ohTIIuz4XRsPmnDg47pEExy0syv8heySQ2w43CRQPBWxXwAKmvU1LTU5g4SLbkUVy
	unu94WzNIQLHAblt++VHgVDADQVEaurVn7BwPxYUL1mzedfBYzpMm01p2wbTjuwxbAsx
	oDHhD3RwnIbcHgrkthtNA3VAAbsUCEhNHKZd7hRMO0ajEcnpsZ6cyoHctuu6oxwo4KYC
	Kkx7XO5UwsKtIyychGnbj4WLbDam5PTh7Ut6Wu8uR27v05HbDBzXIwPIbTcbCuqCAvEr
	oKYmFQt3/uqtpuZnSUhN4ZPT7s2lJcUzpuRo+IOO7b7FC5XxX3vsCQVcUoDZTDBM+2jt
	b05i4aId0NBqwZScDOT2zcu/1R79xQSOA3LbpWaCaqBAIgqwmzMqTNuEhXsahIWLbBB2
	bRGQnAKQ2wDHJXLRsS8UcFkBLTV16ppJc01qarpw9XaTBRbOLheJXI465/TXp/dvXj5v
	brpN4LhjB83JqROSk8tNBtVBgVgV0FMTg2kzLJw7MO3IJsO2EEZjSk4m5PaQflndgdyO
	9ZpjeyjgsgIyNalYuMPH6y7SojOOwbRj9JlAcByQ2y63ElQHBRJTgKcmAdPOcwmmHZPP
	BIDjFOR2HpDbiV197A0FXFHAlJo0LFxZeYULMO2YnCZgzqleIre/B3LblXaCSqBAAgoE
	pKZ8ba7JjIX7/A8t0KDfKonOHezbStyhMSUnAxw3n8Bx9LQewHEJtADsCgWcV0BPTRym
	rWPhGEybAAe3H1jMNf1nn4NEV5LuMwHJSQPH0dN6QG4730RQAxRIVAGemtp16NK9J801
	sdREWLjyiuqT9Vdu3X/S8uKNozDtmJxGT07vGTjuPoHjTlZXlDNw3HQNHEdzTu2+wWPB
	ibYH7A8FHFBASU0E056UP5tg2ioW7i291+QsFi6y18gRTRBye/v65YQ/AHLbgZaBIqGA
	fQoEpSbCwu3mWDiZmpSbM66nJuZC0mcM/IGO3K6p3L2ldClLTkBu29ckUBIUsFsBbjMm
	mPZqd2HakUczitOoyUkgt1cDuW13q0B5UMBWBVhqsoJpcywcPaHnDhYustfIEQ1biubD
	u1etv3NwHJDbtjYHFAYFHFGADWcUmHbhvKVrXYZpR/YYZTzD5pz++ay/5/TAQG7r4Dgg
	tx1pIigUCiSqgCk10VKdPy9WsHDemGsyfEgf0ZiT09X6U9UHdm5iyO0fgdxOtDVgfyjg
	iAIyNfUdNCKb5poWrtBh2gwL553UZB7RGMmpheEPdOT2wtn5k7JHDOqb1Y0tRfNVmzZf
	OCIYCoUCUCBmBaywcHskFs4lmLYxYgn/r7xDYyQnA7l9iJDbyzTkNlvEs1P7tl9/BZ+J
	uTFgByjgjAJ6agqEaXPAwZNnnnhCT/WeoOTEkdvnT/PkBOS2M20EpUKBBBVQUpOBhduQ
	JJi2aiehf1eNJhC5vRLguASbA3aHAo4oEIyFW7s1WTDt0OaifqMZjTHnxPEHErk9v3Bq
	7lgFf4A7NI60GhQKBWJSQKYmD8C0VTcJ/bsY0AC5HdOlxsZQIFkKBKWmRSsFTPtxyx+v
	37kL0w5tLuo3wmjYnBNHbhvguB0MHAfkdrJaE+qFAtYKqFi4sQwLt2zdtr2Ha842XE8O
	TFu1k9C/WyQnjtw+bIXcbmN95vgUCkABlxQQqYnDtKcUFJckGaYd2lvUb8SAxgq5XVJc
	MCVnNJDbLjUhVAMFIinAbMbAwo3M/kEDHDCY9uUb97XU9OdnZTUItasn93dhNAr+4AaB
	447o4LgfskcOJvwBwHGRWgC+hwLOK2DGwhkwbQ1w8LT1JVt0RlmqM7nWYq7dlJw4cpte
	qLxYd5zwB+uWszknhtz+LoOMhp7WQ3JyvimhBigQSgE1NZmxcEmEaZv9JNRfYkBjSk7B
	4Dggt0NdfHwOBdxRQE9NDAs3WMXCJRmmHcpazJ8Lo1GSE0duV5iQ2wDHudOWUAsUCKEA
	m9IOCdNOMhbO7ClWfwmfMeEPtOS0fvl8ILdDXHV8DAXcVUBLTQEw7cpfT4eAaSdlqU4r
	h9E+033GhD/gyO1fK4HcdrchoTYoEFoBJTUxmPb0okWrvISFC+0wxjdiRGNKTgY4rmj6
	5GyA40JffnwDBdxQQKYmFaZd5QmYtuEk4f8VPhOYnKr2bRPJCeA4NxoT6oACIRTgqYnD
	tAcMGzMhb+bcklKGhTt9wSNYuPAew761Sk4Pbl+7cFpLTjo4rldm107tvwXPKUQzwMdQ
	wEkFTKlJhWlfuUlP6L147QEsXNROYyzi+fpFy+P7Nwkcd5TPOenguCwCx7UFOM7JxoSy
	oYC1AmpqGjE+N38WYeG27fMOTDuyxygjGn2FiA9vdfxBHeEPKDktIOT2+BFAblu3AHwK
	BZxXQE9NKkybsHDegWnH5DOmOSdKTg1nKDlt0ZDbAMc535hQAxSwVoCnJsLCWcC0mzwC
	047JaYzkxJDbDBwXhNzuCOS2dUvAp1DAMQVEasrqo8O0V5hg2l7BwkX2GnkvmC1FI8Bx
	LDltX7+CkNuTxo8Y1CfLeM8Ji+s51qZQMBQIVMCUmibSXBPBtPdwmPadB83PX3oKcBDe
	a6TPGPgDQm4b4DiO3J6I5BR4+fE3FHBDAW4zCkybsHBehGmHdxjjW/EUDX9a772RnE5V
	V+zcyMBxk7+np/V6ZnbBC5VuNC3UAQUMBVhqCoBpMyzcCQ7T9hgWznCT0P/KEY2RnFp0
	5Pb+7RtkcgI4zrj8+BcKuKIAG87oMO3hYyfmMZj2Vj01PWxuTaXUxNxH+oyRnFqbH+rJ
	aauO3B4+QAfHfQlwnCtNDJVAAVNqCoRpew8LF3okY3wTlJw4OA7IbTR1KJA8BWRq0mDa
	RQTTlli41tepM9cU4DP0FI2WnF63CuT2jg0rCBwH5HbymhtqTlMFIsC03743LdX5n8dW
	gzC8Rf03MDkp4Dggt9O0leO0k6yAnpoUmPaaTbsOVHOYdrORmuhBfr3zqv3Zu7+L5GQJ
	jvu54Mec0WzOqSvmnJLc+lB9miigpCYDpl22Y/+R2nOXbtx75FUsXGSDE0bDkhMHxz26
	d+PSudoj+wkcB+R2mjRunKZnFAiGaa/TYdpexsJFazQm5DYHxx3au3XdMiC3PdP+cCBp
	oYBITb0ETHuzKTV9Il5TqqUm5kJiQKPjD148a266dfX86eoDuzavWVLMk1N/WooGySkt
	2jlOMqkKBKQmwsKlAEw78mDGZDQiOZmQ2z8xcFzfLDytl9T2h8rTQ4EgmPZyDtOua2hM
	7dQkjcacnBob6moYcpuD48YSOK5HRuf2AMelR2PHWSZLASU1DSUsXKrAtGMc0JjAcedP
	HztIyYkjt8cAuZ2slod600gBZjMGTFtg4ThMmy3V+cfrdx89CtOO0WgoOf3J55xoEU8F
	uU34AyC306i541STowC7OaNi4Qrns6U6Dxsw7VcehmnHYjR6cmKLeD4VyG3CHxROMyO3
	sRRNcpohavW5AgGpaUYxAxwcPEZYOM/DtGPxGW0Rzz8/vX/zks85Abnt83aN0/OUAnpq
	CoJp11/2RWpiViQmt03Jqb5Wwx8U/aQnJ+APPNUwcTB+UiAwNc1SU5PnYdqxDmj++fzX
	JwN/AOS2n9oxzsXbCvDUxLFw/YcSFk5LTRpMWyzVqTyhlwKvTwZ7jz6eCcAfXDXAccUz
	8iZoc04Ax3m7seLoUlUBJTVxmPacVINpB7uK1SchkpMExwG5naotGMedAgrI1GSCaZ+o
	u9h495FPUhPzHeEzAchtDRw3fxafcwJyOwVaLA4xFRXQUxPHwikw7TOpA9O2Gr0Ef2ad
	nK5dYOC4zRo4bsywAb0zM5CcUrEZ45i9rYBITT37DRmlwbQ3lldUn6wnmDZh4VIDph3s
	KlafiBENn3N6T8jtJxy5XV1RvnHVIh253RPIbW83WBxdKiqgpCbCwlnDtP/+JxVf0w52
	GuEztIinnHO6ZEJuD0JySsVmjGP2uAJqaho7QcPCBcK0FZtJybkmw3GU5MQmt+lpPQLH
	CeT20rkz8yYAHOfx9orDS0kFuM0oWLg5i1elLhbO8JPQ/4oRjZacTOC4VYvnAByXko0Y
	B+11BVhqCsDCcZg2x8LRXFPqAQ5Cewz7Ro5oyGgkcvtcAHIbS9F4veHi+FJKATac0bFw
	wwgLN3NeysK0w/uL8a30GQMcZ0Juz5uZx5HbPWjOqe3XAMelVFvGwXpWAVNqyplckNIw
	bcNLwv8bLjlx5HYOkNueba84sJRUQKYmwsKNn5Q/m7BwBNMmwEEjAQ78l5qYA8kRjZGc
	CBzXSPiDKobcXjg7f9L4EYOwiGdKtmcctDcVkKlpoArTPttw/c7DpykH0w4/jjG+lT5j
	JKfWpw/vXG84W1NJ4Lil8wopOfFFPJGcvNlocVSppoCamkYzmPaS1Zt2Hqg+VU+Lzjwx
	sHA0p613TaOnpvq/QclJRW4vEeC4LsAfpFqDxvF6UQE1NY3MnpRftHClAtOmpTo/fPrM
	ntAzRgCp7i/G8RvnI5DbfyjIbQaOm5Q9EsnJiy0Wx5SKCgTCtOcvW6tj4XhqSkGYtuEk
	4f+VPqMlJwW5vXfrWgLHqcnpqzZYwzMVGzeO2SsK6KmJYNoCC5f6MO3wDmN8K5KTJXJb
	B8cBue2VlorjSGEFlNQkYdoMcJDaMG3DSsL/K4yGzTkJ5PZvtUd+AXI7hds0Dt17CgRh
	4ZYRFu5QDc01pT4WLrzJsG81ozGD49ic0yECxwUht9t47+rhiKBASiggUlOv/kNHMyzc
	kjWbdxHg4LxfAAfhvUYMaKzAcYTcnpIzGuC4lGjIOEgvKxCQmjhMu1xLTX7AwoU3GTmg
	odWC+QuV717/0fL4/o1LLDmVl61cVATktpdbL44tVRQwsHA9eg8cPi53KmHh1ilYuJcp
	j4WL1mgEOO6lAo7TkNvjNOR2ByC3U6VR4zi9poCamgimLbBwaZKaTAOaoOTEFvEsnjEl
	B8htrzVbHE9qKcBsJhimfbT2N/9g4aId0JiTE0NuH6XktIqSE5DbqdWocbReU4DdnFFh
	2n7EwsXgMwH4g+OH920j5LaGP+j9XUZnLTnhcT2vNWMcj8cV0FJTp66ZNNekpqYLV283
	NT9/+eb9p78+pzoWLmqfMYHjmm4TOO7YQXNy6tTuWyxF4/EmjcPzngJ6amIwbYaFo7mm
	VWXlFUdP+gimHdll2BZicluZc7p5uV4Hx/HkNKRfFvAH3mvCOCLvKyBTkwkLd9xvWLjI
	XiN8JjA5VSnJCfgD7zdpHKEHFeCpyecw7cgeo4xnTMnpAUtOGjgOyG0Ptl4cUoooYEpN
	GhZOSU2+wsJFdhsxouHJiYHjHt+XyUkHxyE5pUjTxmF6R4GA1JSvzTVVnai75C+YdmSP
	UUY04mm9V62/P7rbaIDj5s/Kz6Wn9ZCcvNN8cSQpooCemlSY9pZALJz/55oMF9LHMwHJ
	6VoDQ25vAXI7Rdo0DtNzCvDURFi47gZMm7BwGkyblupsefHm/cc/1TX0jP7o338DkpMB
	jjvJkduLJXK7Y7tvMLntueaMA/KmAkpq0gAHC5ZzLJySmlSbSWnIbXTeKEc0bCmaD2+V
	5LR9/fIFGv4AycmbzRlH5VEF1NQkYdo1Zxqu3XlgPKHnF5h2rD5j4A8EOI6SE5DbHm3I
	OCwvK8BtxgTTXu1nmHZMTqOvEPHeSE6nqit2blwN5LaX2zOOzZMKsNQUBNPeX3XCrzDt
	mHxGe6HShNzev339CiM5ZQG57ck2jYPyngJsOKPAtAvnLV27ZU8lT00P0zM1MSeSd2hk
	cnp4h+acCBy3RQfHDRvQG8ht7zVoHJEXFTClJoaFW6xg4dJxrskY71jOOV2tP1V9YOcm
	htz+EchtL7ZnHJMnFZCpiWDaHAtnwLRv+BambThJ+H/liIbPOb171SrAcQy5zcBxQG57
	sk3joLynQCAWbh5h4fZwwIF/Ydrh/cX4VvqMkZwM5PYhQm4vMyO3AY7zXtPGEXlHAT01
	ERau3xAFps0BBz6GaRteEv7foOTEkdvnT/PkJJHbXYHc9k6DxpF4UQElNRlYOIJpH6k9
	Z2DhzDDt8N3Sf9+qRkNzToQ/eHTvxqVztUf279jAkNs/ZI8c3BdzTl5s2TgmLymgpabO
	GQxwMJYBDpat02Ha6YCFi2yMmtFYgeO2BoPjsIanl5o2jsU7CsjUJGDam3cdqNaxcPp7
	TdTL9P+vR+6XfttCDGiCkdub1xA47sec0UP6A7ntnRaNI/GgAgGpiWPhdugw7cctf7x+
	9/GT+l6T30wkmvMRRsPmnDhy+zElJx25DXCcBxs1DslzCqQ3TDsamzGe17NKTkBue65B
	44C8qIBITQZMuyStYNqx+Iy2FM2fn96/efmsuenW1fOEP9i1eU0JkNtebNg4Ji8pwGzG
	wMKNzP5BwrQv30gPmHaMRsMX8dSR2wSOU5HbhD8gnhOWovFS88axeEMBdnNGwcIFwrRf
	pQFMOxajURbxfEqLeF6sY+A4idwGOM4brRpH4TUF1NRkxsLdamp+xrBwtIZeOs81GS4k
	bgWbkNvB4Dg8ree1Jo7jSb4CempiWLjBChauNu2wcIadhP5XGI2SnAh/UHu0woTc7oLk
	lPxmjSPwlgIBqWlaesK0Q3uL+o3wmUBwHJDb3mrUOBrPKaClJh2mPSFvRnFJ6WYCHJwm
	mLZYqlNJTWmwJLDqLObfdZ8JwB9YgeOA3PZcQ8cBJVMBJTUxmPb0tIVpmx0l1F9iRGNO
	TgZye/rk7FFAbiezPaNuTyogU1O6w7RDOYv5c+EzgckJyG1Ptm8clDcU4KmJwbR7Dxg2
	ZkLezLlGarqG1GR2GO0v6+R0zUBuz52ZN2EMLeKZ2bVT+2/Bc/JGG8dRJF0BU2oSMO3q
	k/VXbt4nLNzrtMPCWXmL+TMxouHJiSG3n9y/eaWegePKVi0CcjvpbRoH4DkFlNREWLjc
	/FmEhdu2L11h2mY/CfWX8BlTcjKQ2wsIuT1+BJDbnmvqOKAkKqCnJg7T5li4ktIgmHZ6
	YeFCuYv8XElO/3z+i73nROC42ybk9liWnDKQnJLYslG1hxTgNgOYtvSQ6H4TIxotORng
	OAvkNm7ReKi141CSpICRmrpl9bGEab8zL9WZ1k/OqA4kRzRkNBIcV3eiap+C3OaLeH79
	VZs2WFwvSe0b1XpDASM19aC5prETaa5paamBhRNP6CE1qQ6j/S59xsAfCOT2Hg25PRHJ
	yRtNHEeRfAWM1MQAB6NyJjMsHGDawa5i9UmI5KQjt38umAxwXPLbN47AEwqw1BQA096w
	fX8VAQ4a0xwLZ+Us5s/kiMZIToQ/aCT8QdV+AscBue2JBo6D8IQCbDijw7SHU2piMO2t
	BNM+23D9zsPmVrYaxF+fkZrM/mL8JX3GSE6tzQ/vXG84S8jtrTpyeziQ255o5ziIpCpg
	Tk0E016iwLSf6YAD8hm9Sxk9DP9qCgQlJw6O05HbHBxH7zn1zOyCpWiS2spReZIVkKmp
	76CROkx7B09NHKb9GnNN4R1Vjmi05PRaIrd36MjtkYMAjktyK0f1yVYgAkz7LVJTtD6j
	Jae3L4HcTnabRv2eU0BPTQpMe80mYOHCW0vAtyI5BYPjNq0BcttzTR4H5L4CSmoyYNpl
	Jpg2sHABrmLxpzAalpw4OE4gt8uA3Ha/UaNGzykALJyFb8T8kWY0VuA4C+R2G881AhwQ
	FHBWAZGaeikw7YMGTBuAgygdRwxoTPiD86erGTjOQG73yuyKOSdnmzNK96YCAalJYuEu
	3bgHmHaUJsM2E0YjkpOB3C4vWwnktjdbP47KLQWCUtPyddv2Hq6pa2i8+/Bp68uAuaYY
	+l3abWqVnBob6moO79XBcWOHD+zdI6Nz+7bshUq3ri/qgQIeUEBJTUMJC1dQDJh2vAYp
	BjQByUkit8cM7Y/k5IFGj0NwWwFmMxKmPZlS06qy8l+O1v52+SZg2rEajjAaSk5/8jmn
	x/dvEnL76C8GOG7kYCC33W7iqC/5CrCbMwpMe1rhfLZU5+HjdRcb7z562hoI08aiM2Gt
	R/iMWMRTIrfXL59fOC13HCUnILeT3+5xBO4qEJCaNCzcwWMMC2cF04bPROMzGjjuT7aI
	57PmptsEjjt2cPfm0pLiGVNykJzcbeCozQsK6KkJMO2w9hHDl2JEY0pOQG57obHjGJKl
	QGBqAkw7Bkux3FT4jEhOvz+623ix7jiQ28lq5Kg36Qrw1MSwcL36DyUsHGDalt4Ry4e6
	z0SB3AY4LunNHwfgjgJKauIw7Tlsrqni6Ml6zDXF4i3mbcWIxpycdOQ2geOA3HandaMW
	jyggU5MJpn2CzzX9jrkms39E+5fwmYDkRPiDbTTnNIvPOfXBnJNHOgEOw3EF9NTEsXAK
	TPvMBcC0ozUVi+2sk9O1C2d+rWRzTgK5DXCc4w0cFXhBAZ6a2nXo0p0BDjSY9sbyCgHT
	fgOYtoWLRPORGNHw5PSegeMM5PZGgdzu2b1Lh3bffP0leE5e6As4BscUUFITh2nPJpj2
	9gCY9t/KyuPR9DBswxQQPvPvP3//9enD21etbM6JI7c1cBwhtwchOTnWslGwlxRQUxOH
	aRMWbndlzZkGJTUpNoMn9KI2USU5mZHbNZW7NXDcBIDjvNQVcCzOKcBthmDaHAv3/eSC
	OYtXAQsXtZVE2FCMaGRyarp1hfAHFTs3rlo8p2Dy98AfONe0UbJ3FGCpKQALx1MTYeHu
	PqK5JgAOIlhJ2K/liIaMRiK3z3HkNsBx3ukGOBKHFWDDGR0Lx2HahIUDTDusd8TypfQZ
	DX/w5qWC3CZw3Mw8jtzuQXNObXEr2OGmjuKTp4ApNeUQFg4w7Vh8JPK24ZLT6sU/F/wI
	5HbyWj9qdkkBmZr6DhpBWLjZC1cAph3ZPGLYQo5ojOSkIrcXzs6fRHNOAMe51N5RTXIU
	CMLCMZj2IQ2mTUt1AqYdg6NYbyp9xkhOKjhu6bxCSk58EU+WnL7CQzTJ6Qeo1VEF1NQ0
	mqUmwLSt3SKRT4OSUxByezSQ2442cxSeXAXU1DQy+4f8IkpNEqb9B2DaidiL2FeOaLTk
	9PoPSk43Lp2rrdqvIbd/yAZyO7kdAbU7qoCWmjpn9Og9cPjYiVML5y9bu3WvTE0BgIP/
	8ISe8I5YfpE+oyUnBbm9d+vaZfMLp+rJScMffOHoJUfhUMBtBfTURDBtgYUDTDsWB4l2
	W5GcLJHbxTTnNHpI/54Ax7ndAVCfGwooqUnCtH85UvsbsHDRGki02wmjYclJwx9Qcvqt
	9sgvO4DcdqOto47kKRCEhVtGWDiemoCFi9ZAot1OMxor5Pa2dSw55QIcl7yOgJqdVECk
	JlqqczSwcNE6RnzbiQFNSHDcaIDjnGztKDtJChipqXtWX5aaJEz78g1g4eIzk3B7CaOh
	5GSA424QOO4IgeMkcrt75w5tvyESLu4FJ6lXoFq7FTBj4WiuiWDa+wimrWHhXr798Omv
	z3I1iHBdCN9Fo4ApOX1gc04cf1BD+IN1BI6bagbH2X21UR4USIoCamoimLaChbtlhYWL
	pidhm3AKiAGNKTkBHJeU1o9KXVKA2QytBmHGwgGmHc4oEv1OGI2SnMzI7VEMud2FkhPe
	3HapG6AaZxVgN2dUmLYJCweYdqKWYrm/8BmBPzAhtzX8AZDbzjZ8lO6qApapqVKHaT/X
	Xp/8m2Zh9b6BB4EtnSO2Dw0tSda/P//FkNvPdeQ2xx8Aue1qD0BlLiigpCaOhSsCFi42
	z4hvazGiMSWneh0cVwRwnAtNH1W4p4BMTSYs3HFg4eLzj2j3Ej4jkpOO3AY4zr3Gj5pc
	U4CnJg7THmCGaSuAA6SmaN0j+u2sktOD29cunNbAccUz8iaMGTqgV2bXTkBuu9YZUJFT
	CphSk4aF02DaV27SE3ovXgMLF711xLilGNHw5PT+9YuWxxwcd7SivEyA4zDn5FTLR7ku
	KqCmphHjcvNnERZuWwAWTnlCD/eAY/SScJsLnzElJw6OI+T2gln5ueNGDAQ4zsXegKqc
	UkBPTRymzbFwJQwL96sJC4fUFM4t4v8uRHJqYMjtLRpyG+A4pxo+ynVTAZ6aCAsnYNqE
	hdNg2reanrS8AEw7fheJZk8xotGSE0NuM3DcyeqKcgaOm66B47p36Qjktpu9AnXZrIBI
	TVl9CKZNgIMAmDbDwrHUZPyfN5q+g22iV8DQ9V9KTgo4ro6D45Yv0PAHfbIy6IVKWpUc
	L1Ta3PxRnEsKmFLTxLyZcwmmvYfDtO88aNaf0JOvT2KpzugdJLotpc/wWzT8ab0Hd641
	nKmp3KMhtzk4LpPAcd/i9QOXOgWqsVsBbjMKTBtYuOjswcatQiQnjtxm4Dggt+1u9CjP
	bQVYagqAaTMs3AkO024BTNtGOwlZlBzR0C0ajtxuoRUiLhFye//2DUBuu90lUJ8DCrDh
	jA7TJsBBXqEC037YDCxcSG+w8wvpM0Zyam1+aCQnQm5zcNyA3kBuO9D+UaQrCphSkwbT
	3rTzQPWp+quYa7LTSiKUZZmcrtafqj6wcxOQ2670BFTioAIyNWkwbTMWrhVYuAj+YNfX
	ckSjJafXrQHguEnZQG472A9QtLMKBMG0CQunwLSBhbPLSCKUI31GS04KOG4PgeOA3Ha2
	G6B0ZxXQUxNh4foN0WDaa4CFi2AJDn0tkpMlOO5nDo7rB3Ccs/0BpTuigJKaDCwcwbSP
	1J4jLNyjFoJpf/z0+W/5hJ5DPQzFcgWE0bDkxMFxGnL7CCG3Vy4syifk9uC+Wd2AP3Ck
	K6BQBxUwwbRzGUx7nQ7TBhbOfffTjMYKHLc1GBwHzIqD/QJF26qASE29BEx7864D1afP
	01xT8zP9vSa5VKf7PS+9ahQDmuDktHnNEh25TUvRdGyHx4Jt7QcozFEFAlITx8LtAEw7
	eeYmjEYkp8cSub2o6CckJ0f7Awp3RgFLmPbhmrMN15GakmM2oZLT4b1AbjvTB1Cq4woo
	qQkw7eT4SmCtYkBjAsedP33s4K7Na0qKC6bkALnteL9ABbYqwGyGvdfUPavf4FEcpr2q
	rJylpstsqU421/Qn5poCjcDpv4XRUHIykNsMHMeQ26t4cuLgODbnhDe3be0OKMwZBdjN
	GQULZ8C0NcDB09ZAmDaW6nTaYnj5wmf403oSuX3cGrmNSSdnOgdKtU0BNTVFAdOGz7jp
	M/9xcNyfDBz3rLnp1lUgt21r9yjIVQX01GSGaVccra1HanLFUEJWIkY0puRUX6vhD4p+
	mpwN5LarPQWVJaBAQGqaZoJp/9766u2HT38BcBDSDBz8QviMnpxetergOEpO65fPB3I7
	gVaPXd1WgKcmjoXrb8bCXb0tluoE4MBBOwlZtO4zWnLSkdsPblNyUsFx/QGOc7vHoL44
	FFBSE4dpzwFMO2THd/0LMaIxJycduU34g+xRQ/oBHBdHs8cu7iogUxNg2q7bSMQKhc8E
	Jicgt93tJqgtQQX01MSxcGMmEOCgpHQzw8JdAEw7ogs4v4F1crp2gYHjNmvguDHDBvQG
	/iDBXoDdHVaAp6Z2Hdhc05BRGkxbx8LdvE9YOMC0nfeS8DWIEQ1PTgy5/YQjtzk4bpEO
	jmPJCeA4h7sKio9fATU1jRgPmHb4Pp+Mb4XPmJKTitweD+R2/B0Ae7qigJqaOEybsHCB
	MG1g4ZLhL0adSnL657OYcyJwHEduL507M28CkNuu9BVUErcC3GYkTLtgDsG0d1YQ4OAK
	AAdGR0/6v2JEoyUnA7nNwXGE3NbBcQy5jaVo4u4J2NFBBYzU1E3AtFes376v6kTdpca7
	j+gJPQbTVpbqxPsGSfEcOaIho+HgOPa0Hk9O29ebwXFAbjvYW1B0vAoYqalH7wHDCAs3
	cx5g2klxkvCVSp/ht2gCkdvzZuZx5DYDx2FAE29XwH7OKWCkJgY4GJUzuQAw7fAdPmnf
	hktOHLmdQ0/r9cxEcnKur6DkuBVgqUmDaRMWbvyk/NkLVjCYNgEOGglwgNSUNFsJqliO
	aIzkROA4Qm7Xqsht4A/i7gnY0UkF2HBGg2kPNGDaW/dU0lKd1+4Aph3U15P5gfQZIzlp
	yO2zNZUEjtOR2wOB3Hayt6DsOBVQU5OGhVstYdoG4AC8pmT6i6w7KDk9e0JL0ejI7SUC
	HIfkFGdnwG5OKaCmppHZk/LNMG1aqhNzTbKbJ/03OaLRktPrP4KQ2yMHITk51VlQbtwK
	WMG09x5igIM7D9lSne/Ni85gTjupXiN9RktOCnJ7L5DbcXcC7Oi0AnpqEjDt4iWAaSfV
	SSJVLpJTMDhukwGOA3Lb6W6D8mNTQElNBky7zMDCAaYdqc8n5XthNCw5CeQ2wx/sKANy
	O7bmj61dUsASC8dTE7BwSXGRKCrVjMYKuQ1wnEvdBtXEpoBITSpM++AxCdP+RLwmwLSj
	6PwubiIGNDo47gXHH+jgOCC3Y+sB2NoFBQJSE4dpcyzcpRv3NCyc6b0mF/sSqgqjgDAa
	kZwM5HZ52Uogt13oOKgiJgUMLFyP3vSEXq6Ghdt7uKbuIr0+GTzXFKbl4ytXFQhOTvRC
	5cW6GobcXj6/cGru2OHsaT0iVLIXKmNqEtgYCtitgJKahhIWrqC4ZM3m3SI1vXzzHqnJ
	VfuIujIxoAlCbu/WkdtjhjL8AVaIsLvLoLzYFWA2I2Hakyk1MZj2UcC0o+7vSdtQGA0l
	JxW5fVRHbuvgOCC3Y+8V2MNmBdjNGQWmPa1w/vL12/YdNmDawMIlzUUiVyx8Rizi+ZQn
	J4bcJnBc4bTccZScvjOSE5DbNvcdFBe9AgGpaUYxAxxQarpw9XZT8/Og1IQHgSN3f9e2
	0H3GjNxm4LhjBxn+oHjGlBwkp+i7ArZ0TgE9NQXCtE8Cpu2aWyRSkRjRmJJTvQ6OA3Lb
	uY6DkmNRQKYmFQunpybAtBOxAFf2FT4jkpMFcrsPklMsfQLb2q8AT02AabviCU5UYkpO
	An8A5Lb9PQUlJqCAkposYNovXr/7SA8CY9EZJxzCrjLFiEZPTi9aHt+/edlITkBuJ9A7
	sKtNClinJgIcsCf0kJrssgJHyxE+E5CcTgC5bVMvQTGJKqCnpiCYdgNg2o56g52FWycn
	DRwH5HaiPQT726AAT00SCzd9zqJVKkz7zXukJjsdwamyxIiGJ6f3DBwXjNzuycBx33z9
	ZRs8RGNDz0ERMSigpCYCHOQS4GC5CQv39oN5DT2n+gnKTUwB4TOm5KSD45YvmJ2fO37E
	IMw5xdAzsKmdCqipScK0a86oqQkw7cQ8wI29leRkRm7XVO7eUgrktp19BmXFrAC3GUpN
	HAv3/WTAtN3wBGfqECMamZyabl0h/EHFzo0SuQ1wXMx9BDskrABLTRoWro+BheOpibBw
	gGk7YweOlSpHNGQ0Erl9juacApHb39AKEbhFk3DvQQHRKsCGMxoWjsO0C+ctXbuFsHCU
	mggLx99r+uszUpNj1mBrwdJn+C0ajtx+eIfmnAgct0UHxw0bAHBctH0D29mmgCk15fwI
	mLatHd/1wsIlJ4bc/hHIbdu6DgqKXgGZmgimTVi42QsB03bdHGysUI5ojOSkIrcXzs6f
	lD0C4Ljo+we2tEcBKyzcHomFozX0kJpstAHHi5I+YySn1qcP71xvOFtziJDby+YV5k3U
	FvHs1J4t4ok7NPZ0I5QSXgE9NQks3M9LANN23AucrSAoOVkjt7GIZ/iegW9tVEBNTSOz
	fyCY9soNO/ZX1Z4jwAHHwgGm7awpOFC6HNFoycmE3NbBcUhONnYiFBVRAS01dc7ggIOJ
	eYXzl63bCpi2A53fxSKlz2jJyYTcXrdsvkhOnZGcInYQbGCHAjI19R8ymuaaANN20Q+c
	q0okpzDI7f49gT+wowuhjMgKKKlJg2kvWilg2sDCOecDjpcsjIYlJ47cNsBxhNxeVJT/
	Q/bIwX2zujH8AZ7Wi9xPsEViCgCm7XiPT1IFmtEAuZ1Y/8DetiggUlOv/kNHMyzckjWb
	dwELlyRrsLVaMaAJAsft2ryGkNtTckYDHGdLJ0IhkRQgm+HvNXXP6stSk4RpX75xX0tN
	WKrT1s7vZmHCaCg5GeC4G5d/qz1C4DiJ3O7OkxOWoonUVfB9/AqwmzMKFk6DaUss3Ess
	OuOmL9hdl/AZfSmal60SHKchtwGOi7/vYM/oFVBTE8G0FSzcrabmZ8DC2d3z3S1P9xkz
	OO4WwHHR9w9saYsCzGZoNYhALBxg2u76gXO1iRGNkpxuUnI6WlFetmoRwHG29CIUEkGB
	gNQ0bZYK0wbgwLnu71rJwmf05PSq1QIcB+R2hH6CrxNTgKcmAwuXk6enpl8VmPZfn/+m
	eVFj/O1a90BFNilgXDm6iH9/1sFxTQy5/auO3M7Tkdud2n+LVckT603YO4QCSmriWLii
	RavKyiuOAqZtUyf3RDFiRGNKTgY4rmj65OxRQ/plde9CT+vBaEJ0FHyciAIyNakw7arj
	wMJ5wiBsOgjhM4HJCeC4RDoP9o1aAZmaBgwdMyFv5tyS0s27Kyk1AQtnUx/3QjFWyenB
	7WuUnCp3G+C4oQN6ZXZFcoq652DDGBQwpabvJzMsHKWm6pP1V27ef9Ly4jWwcF6wCRuO
	QYxoeHJ6/1oBx9GcEyG3v0dyiqHfYNOYFFBT04hxufmzCAu3bR/BtHXAAZ7Qs6GLe6II
	4TOm5MTBcdvWL18wKz933IiBAMfF1HuwcbQK6KmJw7Q5Fq6kdAulJhMWDnNNnjCKBA8i
	RHJqOEPJaUtpydyZeRPGEv4gMwPJKdrOg+2iVYCnJkuY9q0mSk2AaSfYuT21uxjRaMmJ
	IbcZOO5kdUX5RpGcgNyOtu9gu6gVMFJTtywDC2eGab/DUp2ecorEDkaOaMhoJDiujoPj
	GHJ7EkNu86VoaFVyLEsedTfChhEUMKWmiTTXtLTUwMI9ABYusV7tvb2lz/BbNBwc98AA
	x3Hk9kQkpwg9Bl/HoQC3GQWm/fPi1Rt3VlSfqr+C1OQ9m7DhiEIkJ47cZuA4PufUE8jt
	OPoSdgmpAEtNATDtDds54KDx3iN6rwmpyYau7aki5IhGJqd7jZfO1Vbt375hhSk5YRHP
	kP0GX8SmABvO6DDt4WMJcKDDtM9ymHYrWw0CWDhP2UTCByN9xkhOrc0MuX1WQW4PB3I7
	tm6ErcMrYEpNGkx7084DlJquUmp6hrmmhHu1FwsISk4qOA7I7fA9Bt/GoYBMTX0HjSSY
	dhHBtCUWrvU1UpMXfSLRY5IjGi05vW4l5PYNnpx2bFixsIiQ2yMBjoujO2GXEAoApp1o
	n03F/aXPiOQE5HaIHoKPbVBAT00KTHvNpl2Ums5Tamo2UpNcdCYV+xSO2UoBkZzM4LhT
	1Qd2bVqz5OeCH3NGD+kHcJwNXQxF/O9/SmrSsHAcpn1EwrQ/fvr89z9ibSurBovPUlMB
	YTQsOXFwnJacjuzfsUFHbgMcB4+wRwETTDuXAAcCpn334dPWl2/Nc02p2aFw1NYKaEZj
	BY7bypDbU3PHDh/Yu0cGkNv2dLV0LkWmJgHT3kyp6bRITZ+I14TUZN1PU/1TMaDRwXEv
	njU33bp6/jQlJw6OY8kJyO10tge7zj0gNUks3KUb9wDTTnUfiXj8wmhEcjKQ2yo4Dsht
	u7pb2pZjCdM+XFPX0IjUFLGX+mADq+TU2FBXc3jvtuDk1CZtuwlOPDEFRGoyYNolgGn7
	wD2iPwUxoLFCbpcAuZ1Y98LemgLMZth7Td2z+tFc02RKTbRU5y9HgIWLvqOm+pbCaCg5
	GchtBo5jyG0NHDdyMOEPGHIb+AP4RlwKsJszCkx7WqGKhWNzTR/M7zWlep/C8QcrIHxG
	X8RTRW6vXz6/cFoukNtxdS7sJBRQUxNg2sF9MB0+0X0GyG3RK/CLzQroqSkIpl1/+eZ9
	ba6JprTxhJ7f3UaMaEzJqR7IbZu7W7oWF5iaANP2u6NYn5/wGT05Abmdro7gzHnz1GTA
	tCfoMG2Ghbt6WyzVqTyh9591K8Wnqa6AKTnpyO0HHLnNwXHFM/ImjBnaH+A4Z3qh70tV
	UhOHaWtYOMC0U9024jh+MaIxJ6eTRyvYnBOB44Dc9r0dOHWCMjWZYNonANOOo6Om+C7C
	ZwKSE+EPCBw3fxafcwI4zqmu6Oty9dTEsXAKTPsMYNopbhpxHL51crp2gYHjDOT2MEJu
	Axzna0tw4uR4amrXgc01DRmlwbQ3AqYdRx/1xy5iRMOTkwm5LcFxWd27dGiHp/Wc6I5+
	LVNNTSPG5+bPBkzbH4YR51kInzElJ4Hcnp2fOx7Ibb+agYPnpaYmDtMmLBxg2nF2Uh/s
	FiI56cjtpUBuO9gXfVw0txkFCzdn8Spg4XxgFwmcghjRaMnJQG5zcNyqxXMAjvOxHTh1
	akZqkjDtFeu376s6ce5S411g4RLorCm8qxzRkNFI5PY5jtw2g+OA3HaqY/qsXLZU57ft
	O2X06D1gGGHhZupYuDOEhRNP6NH7Bv8abS+Fuw8OPUoFjGttLOL55uXzZoHcXrt03sw8
	jtzuweecvmrzhc+6BE7HfgVMqSlncgFg2lH2RX9vFi45ceR2ziiGP+jSsd23WCHC/l7p
	uxJZatJg2n0HjRg/KX82YeEETLsFMG1/u0nos5MjGiM5EThOILcXzs6fNH4EwHG+swPH
	TigIC7d07dY9lTVnG67fedgMmHbojujzb6TP8Mnt929eMuT2dY7c3krJqZCSE8cfdGrf
	lm7RIDk51kN9UbCamkYzmPaS1YBp+9xCojy9oOSkIrclOA7JyRdG4OxJqKkJMO0oO2Ca
	bCZHNFpyAnLb2b7o59JNWLiJeYXzlq3duveQlpqCsXD/YTWINPEYdprSZ7Tk9JYW8dSS
	06G9W9cuk8kJ4Dg/W4Qd56anJgHTLl7CYdoSC/cRWLg0cpbAUxXJyYzcZuA4Qm4XA7lt
	Rx9MgzKU1GTAtMt2MMABYeEetfzx+h1g2oFdL73+FkbDkpNAbjP8wY4yILfTwCHsOUUL
	LJyemoCFSy9DCXW2mtEYT+vx5HSXzTlRcgI4zp5O6P9SRGrqxWDaUwooNW3edfCYnppe
	vnkPmHao/pcun4sBjRU4jpLTFIbcpkU88bSe/+0i3jM0UlP3rL4sNUmY9mXAtNPFRyKe
	pzAakZwIua2D41YuKvrph+yRg/tq4Liv2uApmnj7oo/3YzYjsHBjc6cSFm7dtr0E076o
	w7SBhYvYC/2/gfAZfSkaNud0t/GihtwmcNzUXPa03ncZRKjEC5U+dov4T01JTUM1LNya
	zbspNV24equp+VlQasKUtv9NxeIMdZ+xBsetKSmeMSVHwx8gOcXfFf28J7MZeq/JjIX7
	5Shg2hadLa0/EiMaSk4qcvuoQG6PYsjtLkBu+9ku4j03U2oalxsI034FmHZam4ty8sJn
	xCKeTx+x5HT8MMcfALkdbxdMi/2CU1OpnppuNzU/R2pSOlqa/xqcnJ43NzFw3LGDDH+A
	5JQWfhHnSQakpulFi1aVlVcAC5fmnmJ9+mJEY0pO9To4roiB45Cc4uyI/t5NpiYVC3f4
	OLBw1j0tvT8VPiOS0+9qcgI4zt9mkcDZ8dTEYdoDhhIWbkZxCaUmwLTT205Cnr0pOYVC
	bhM4rmun9lhbL4Fe6btdldRkYOG01HTl5v3HLS9ev2evT9KSwHoDC9kA8UWaKCBGNDw5
	MXDc4/s3rxjJiZDb39Minphz8p1RJHZCamoaMS43f9b85eu3EeCgTgccYK4pTewj6tMU
	PmNKTgY4bv6s/NxxAMcl1il9uLeemjhMm2PhSjQsHGDaUXe8NNvQOjlpyO0tpSUAx/nQ
	JRI+JZ6aLGHat5qetLx4g9SUZi4SzemKEY2WnAxw3MnqinIgtxPukn4sQElNGuCAYNoM
	C6ekps+fFV5TNK0Q2/hdAeEzlJwIHPf2VSubc+LJafv65Qs0/EEfvOfkR8eI75yCUhPB
	tAlwQFi42wIL9zewcH43jhjPL0RyajhTU7lnSymQ2/H1RR/vxW1GgWkDCxdjj0vXzcWI
	xpycOHKbg+PYnBPAcT62jlhOjaUmDQvXR09NgGmnq3PEdt5yRENGEx65/Q2WoomlT/px
	W4mF4zDtQhNMG1i42LpeWm0tfYZPbnNwnIrcZuC4YQN6M+Q2wHF+tI5YzsmUmhgWbrGO
	hbuCuaa0co14TjZkcjqwcxNLTj8CuR1LX/TxtjI1EUw7Owim/frdh0/qg8BY2yqe7ujb
	feSIRktOHBxnQm5nA7ntY/eI/tRkaho4fKyOhdsjsXC08vhf6pQ2fMa3nhHPiUmfEcnJ
	AMftMYHjkJyi75J+3FJPTQILB5h2PN0tjfcJSk7WyG3gD/zoHlGfk5qaCHCQX7Rw5YYd
	+6tqz1lj4TCaSWNHsT51OaJhyUmA487VVu3fsUEHxw3qm9WNViXHnFPU/dJvG5ph2lMJ
	pr0OMG3rDoVPLRWQPqMlJxNyex0ht6dOZPiDHhlAbvvNPKI/H5maGBbuR4aF27TrQDVg
	2pZdCh9aKiCSUxjkdv+eAMdF3y39tqWSmjSY9qKVAqb9GDBty16FD4MUEEYjkhOB4y7p
	yO1FRfkaOA7JyW/2EfX5WMC0t+3lc02AaQf1JnwQUgHNaKyQ29uA3I66N/p2Q5GaevUf
	ymHaJYBph+xL+CK0AmJAY4XcLuHI7aFAbvvWRyKcGNkMf6/JAqZNS3X+8fodluoM3bXw
	jaqAMBpKTgY4LhRy+0sgtyN0TH99zW7OCJj2OAHT1gAHT1tfYqlOtSfh93AKCJ/hc04f
	2JyTjj/Yu20dR26PA3LbX/YR9dmoqUmDaRtYOMC0w/UpfBesgO4z1shtgOOi7pM+3JDZ
	TBBMu+Jobf1lBjhAagruTPgkjAJiRKMkp5uX62uPVpSXrVpU9BPAcT70kChOKSA1TdMA
	B8DChelK+CqMAsJn9OSkLeIpkNsaOK43FvGMomv6ahOemjgWrv/QMTnAwoXpQvgqCgVM
	yckSHJczhs85ARznKx+JcDJKahoyKnvy9DmAaUfRmbBJGAXEiMacnHTkNoHjsgGOi9Ar
	ffe1TE0qTLsKMO0w/QhfhVdA+Exgcqrat2398vlAbvvORSKfkExNA4YxmPZcwLTDdyJ8
	G1GBCMlp7oy8CWOGAbkduXP6ZwtTavreSE3VJ+sJpk1YOMC0I3YqbGChgBjR8OTEkNtP
	OHKbwHE05wTktn8MJLozUVPTiPEE0yYsHGDaFh0HH8WkgPAZU3IykNsLCLk9Hsjt6Lqo
	L7bSU1MQTBtYuJi6FTYOUMA6OV1rOPNr5W4gt31hHbGcBLcZwsJ179lvyCiWmhav2lhe
	wVITAAcBPQd/xqaAGNFoycmM3F6sJ6ee3bt0bPft13jPKZZOm3rbGqmpW5aBhTPDtAE4
	iK1vYWupgBzRkNFIcFzdiap9CnKbL+L5NcBxqecdsRyxkZp69OZYuJlzBUz7joBp/wOY
	tuw8+C1qBaTP8Fs0BI573izAcRy5LcBxGNDE0mlTb1sjNWVqqYlh4TburKg+hdQUdW/C
	hqEVCJGcgNxOPadI6IhZagqAaW/YzgEHjfcetbS+QmoK3YfwTWQF5IjGSE4tj+4JcNyC
	2fmTxo8Y1Af4g4Q6cQrsLLFwAzQs3NK1W/ZU1pxtuHbnYTNg2pE7ErYIq4D0GSM5tTY/
	vHOt4WxN5Z4ta5fOY8jt4UBup4BTJHSIptTEYNpLdJj2VZprevbizXusoRe2G+HLiAoE
	JacgcBy959QzE3NOCXVkb+8sU1PfQSMJpl20cIWChWsFTDtiL8IGkRSQIxotOXHk9o1L
	GjhuxcKi/EnZIwGO87ZPJHp0MjVZwrTfAqYdqRfh+0gKSJ/RkpMCjgNyO9EOnBr766lJ
	wLQtsXA0p603lUgtCt9DASsFgpNTc9Otq+dPVx/YtWnNkuKCH3NGs+QE5HZquEbMR6mk
	Jg0Lx2HaR0LBtK2aED6DApEVUI1GRW4fkcjtwUBux9x/U2UHE0ybAQ4ETBtYuMidB1tE
	r4BmNFbguK3B4LgvUqX/4DijUkCkpl4Mpj2FwbQ3m2Dan/78/Ld8EDj6VoUtoYBZATGg
	0cFxL56J5LSZJacplJwAjouq16bcRkZqCsLCXbpxDzBtcz/BXwkqIIyGzTl9fPf6jxYD
	uV1etpLwBxpyu3vnDm2/wXtOKWclYQ9YxcKNFVi4mrqGRqvU9F+CDQ27p7UCwmeUOae7
	jQ11NYcNcNxYFRwXtuHiy1RSQElNAqa9++Cx0+fpCb3mZy/fvDenJvhMWvtEoiev+0wg
	OO786WMHd29eA+R2KjlHTMdKNqPDtPsNJsDBT0UMcPDLkdrfgIVLtE9hfysFxIiGkpOB
	3L55+bfaI7+YwHE8OWEpmpj6soc3ZjdnFJj2tML5bKlOHQsHmLZVR8FnCSkgfIYnJxW5
	zfEHhdNygdz2sGHEeWhqajLDtG8jNSXUn7CztQKWyen21Qs8OQG5HWc/9vhuzGYsYNon
	AdO27iT41AYFxIjGlJzqdXAckNse94w4Dk+mJhULB5i2DZ0JRYRUQPiMnpwskdt9gNyO
	o0N7dBeemgyYNmHhioGFC9k78IVdCpiSkyVyewKQ2x51jLgOS0lNgGnb1YtQTmQFxIjG
	MjkBuR1Xb/bsTtapqepE3cXGu49+b3319sOnvz4rK49Hbj/YAgpEo4DwmYDkRPgDILc9
	6xfxHpiemjgWjmDaM3WY9pkL124LwIHyXhOe0IumC2GbKBSwTk7XLjBw3ObSkrkzOXK7
	d2ZGp/bAH8Tbvb2yH09N7Tp06Z6lY+EWAQsXRR/BJnYoIEY0PDm9N4PjVOR2u28AjvOK
	Y8R1HGpqYjDt2YBp29GBUEZUCgifMSUngdyeDeR2XJ3agzupqWksS02Ehdtd+esZwLSj
	6ijYKCEFQiQnHbm9lCWnscMGIDl50DhiOyRuMwTTNrBwDKYNLFxCfQc7x6KAGNGYkxMH
	x61aPKdg8vfAH8TWpb24NUtNAVi49dv3VZ04d0mbawIWLpY+g21jV0COaMhoJHL7HEdu
	rwA4zouuEfsxScCBBtOep2HhKDUBph17n8EesSsgfYbfojEjtwkcN5PAcZScetCcU9uv
	v2qDRTxj7+TJ3yMwNQGmHXtHwR4JKhAuOa1e/DOSU/J9IsEjkKmp76AR4yflzyYsHGDa
	CXYb7B6jAnJEYyQnFbm9UENuA3+QYF9P5u4yNelYuKVrt3KY9vU7D2nRGVpDz/QgMJ7Q
	i7EHYfNoFJA+YySn1qcP71znyO2tBnJ7IJJTMp0iobrV1DQaMO1o+gS2cUKBoOQUhNzm
	4DggtxPq7snaWU1NGkx7pQLT/gMwbSe6FMq0UECOaLTkRPiDR/cM5PZKILeT5RD21GvC
	wk3MK5y3bO3WvYdqzjZoqQkwbYsegY+cUED6jJacFOT23q1rl80rpDknwh/0yOiMOSd7
	+r6LpeipKTxMG1g4J/oVygxUQCQnBo77SO85SXAckNsumoL9VSmpyYBpl+1ggANg4QI7
	Af52XgFhNCw5mcBxO8pYctLAcd0AjrPfCZwtkQMO2nfO6NGb5poA03a+J6GGsApoRhMl
	cruNs30DpdumgEhNvfprWDgG0w6NhQvbRPAlFEhYATGg0ZHbL/XkdOzgLgO5PRTIbdv6
	v0sFkc3oWLi+LDURFm6ljoUzYNp/fv6b1tDTr37CrQgFQIEICgijoeSkg+Pu3dDBcUBu
	u+QLNlfDbs4ILJwK02ZLdQILF6FH4GsnFBA+oy9F85Ke1rvbeDEUchsvOtnsCU4Up6Ym
	DQu3ZjODaV8ATNuJLoQyo1BA95lA5LYGjiPk9owpORr+oGM7LOLphCnYXyazGQssHGDa
	UXQHbOKYAmJEI5PTfYbcPlphQm536dAWi3jabwr2l2hKTeNyzTBtAA4c60coOLwCwmf0
	5PSq9ekjlpyOHwZy234XcL5EnpoMLFzOFA0Lx1MTwbSfs9cn6SawfEIPr0+G7x741iYF
	gpPT8+YmK+R2JyQn510i4RqU1MSxcEWLVpWVVxwFTNum7oJi4lZAjGhMyUkgt6dPzqZF
	PLO6IzklbALOFyBTE2DacXcI7OiIAsJnRHL6XU1Os6bljhs+EMht503ChhpkahowjLBw
	M3QsHM01AQvnSOdBoVErYEpOwcjtuTM4OK5XZleA42xwAkeLMKWm7ydPn2Okpis37z9p
	efH6/Uc8oRd1v8CGdisgRjQ8Ob1//aLlyf2bV4zkRMhthj9AcnLUIuwoXE1NDAs3C1g4
	u7sKyktAAeEzpuQkwHGzAI6zwwWcL0NPTRymzbFwJcDCJdAtsKvNClgnp2s6OI4jtwGO
	c94mEq2BpybCwgGmbXP/QHF2KSBGNFpyConc7gjkdqJu4Nj+RmrqltVHAxxQamJYuDod
	C/f2w6fPn+n1Sbw/aVevQTmxKiB8Jjg5bV+/3ASOI54TgE6OmUUCBQelJoJpE+DAhIXD
	E3qx9gxsb6cClsnpDiWnmso9W0qB3E6g+7u1K7cZBaYNLJydHQRl2aSAGNGYkxNHbgMc
	55ZZxF8PS00BMG0DC3f3Eb3XBJi2TR0FxSSkgBzRkNEoyO3aqv3bNwC5Hb8BuLSnxMJx
	mHahDtM+SzDth9p7TcDCJdRBsLMtCkif4bdoOHL7ISWnsyw56eA4ILddMo3YqzGlJoaF
	W7x6084D1afqr9xqevLsxRs8oWdLL0EhiSsQlJwYOO5K/anqAzs3seT0Yw49rdczE+C4
	2F3A8T1kauo7SMPCrdCxcI33HrUgNSXeO1CCXQrIEY2RnARye8eGFQDHOW4WCVQgU5MO
	0yYs3B6JhQNM265OgnISVkD6jJGcDOT2oT0mcFwngOMSsAQndtVTk8DC/bxk9aZdlJrO
	01KdSE0J9wwUYK8Clsnp6nlKTrs2rV7CkhNHbnfFIp5OmEX8ZSqpycDCUWo6UnuOsHCP
	WgDTtreXoLREFZAjGi05CeT2kf07NgAcF78ROLynGaY9lWDa63SY9t2HDHDw/hPmmhLt
	G9jfPgWkz2jJiSO3716nOadDe7euI+T2VCC3HbaMeIqXqan/kNE011TMsHAHqk+z1NTM
	5prMS3Xa115QEhSITwGRnHRwnILc5uA4lpz698xEcorHDxzaJyg1GVg4wLTj6wTYy3kF
	hNGw5GRCbpeXETgOyG2HzCKBYi1g2tv2Hqqpa2i0TE3OtyHUAAUiKSB8Rk1OjQ11lJy2
	rVs2v3Bq7tjhA3v3yOjM55yA3E7AH2zaVaQmA6ZdEhamDcBBpC6A711QQLlFQyTcT/RY
	sIrcLikumJIzGshtmyzCjmLIZgRMexSHaRPg4JcjhIW7cf8xm2vCUp0udBtUEbMCYkRD
	yUlHbt83kNurFhX99EP2yMF9s7p3JnDcV19ihQg7vCKBMtjNGQHTNrBwew8frwNMO+aW
	jx3cVED4DE9OH9ick44/oOS0fH4hxx/0/i6DjAZL0STgEPbsqqYmDaZdqsO0CQv3DFg4
	N3sO6opFgRDJSUNulwK5bY8/2FQKsxkrmHb95ZtITbG0emzrvgJiRKMkp5uX64Hctskc
	7CsmMDXNmr98/bZ9emoCTNv9roMaY1BA+IyenF61WoDjkJzss4u4S+KpScC08zSYduWv
	wMLF0NqxabIUMCWnYHBc8Yy8nDF8zgnguLgdwpYdldTEYdoCC4fUlKy+g3pjUUCMaMzJ
	6eTRivKyVYsIHAfkti1GkVghMjWpMO0qba4JqSmWBo9tk6KA8JnA5FS1b9v65fOB3E7M
	IGzaW09NHAtHMO2ZOkz7DGDaSek0qDRmBSIkp7kzOXK7d2YGkpNNnhFHMTw1teugYuHK
	yiuqT9ZrMG0s1Rlzs8cOrisgRjQ8Ob1n4DiO3K42kpOB3AY4Lg6LsGMXNTUBpu16B0GF
	tiggfMaUnIDctsMh7ClDTU2AadvS6FGI6wpYJycgt+3xCBtK4TYjsXDT5yxetXFnhQ44
	aAHgwPUegwrjU0CMaGRy0vAHFTs3rlpMc04sOQF/YINlxFOEkZoCYdrnFJj23wTTNv5/
	EV8bwF5QwGkFjBb6779kNJ8+vNWe1rt07kTVPiC347EGW/cxUlOP3hwLN3OuBUybbAY+
	43Q3QfkJKiB9ht+i4eC4Bybk9sSxOjju26/x4ratLhKxsIDUxLBwSE0JNnjsniQFwiUn
	ILcjeoGDG7DUZIJpL1xhwLSBhUtSb0G18SogRzQ8Ob171SrAcYTcXjg7f9L4EYP6ZHXj
	S9G0wVI0DhpLQNFBWLilhIWrrNFg2q1sNQgADuJt9djPbQWkzxjJqbXZQG5v1ZHbfBFP
	gOMCfMDhP9XUxAAHDAvHYdrAwrndR1CfHQoEJSeG3L6qI7clOA7IbYeNxVy8TE2BMG2G
	hWt9/e7Dp8+Ya7Kj/aMMdxSQIxotOb1myenGpXO1VQSOA3Lb3P1d+ysoNZlh2sDCudM5
	UIttCkif0ZITB8fd4eA4ILdd85WAivTUJGDahIVjMG2JhcPK47Z1ABTkkgLByamZktP5
	0wy5vWZJMZDbASbg/J9KajJg2mU7CHAgYNofTanJpXaCaqBAQgqoRqOB47TkdOSXHWVA
	bjtvK0E1mGDauVML54eFaSd07bEzFHBNAc1o6NHSfz7T2noByO1AcNwXQd0CH9irgEhN
	vVSY9jGZmgDTdq1roCIbFRADmgDk9rEDuyRyuxeQ2/baSajSjNTUPasvS00/FQGmbWNb
	R1FJVEAYDZtzCkZum8BxeFovlEHY8zmzGYGFG8tS0/J12/YeljDtD+Yn9JLYbFA1FIhJ
	AeEzPDlxcNzDuwy5fVgDx2nIbQGOs6dDoRRLBZTUNHR0zhQCHKzRsXC3gIWLqVVjY68p
	oPvMf3SLRkVua+C4NRwcB+S2pSvY/iHZDHuviS3VOXhU9mRKTQZMG1g4r3UbHE/MCogR
	DSUnA7l98/JvtUd+YfiDop8IfzC4X1b3LkBu2+4spgJNqcmAaRtYuKetL98iNcXctrGD
	dxQQPiOTk47c5vgDILdNbuDcH2pqAkzbO/0DR2KPApbJ6fZVILedsxSrkpnNBKWmiqMn
	AdO2p5mjlKQrIEY0puRUr4PjTMkJa15ZeYQNn8nUpGLhANNOeufAAdimgPAZPTlZIrf7
	iDknPK5ng68EFsFTE4dpDxhKWDjAtG1r3SjIKwqYkpMlcnvCmKED6Gk9gOMC7cGuv5XU
	BJi2V/oFjsNuBcSIxjI5Abltl52EKkdNTSNormnW/OXrt+2rOlEnAQemNfTsvv4oDwq4
	oYDwGVNyMsBxHLk9YiCSUyibSPhzPTVxmLaOhdu8u/LXMxeu3X7Q/FxbqvNvAA7c6Aqo
	w0EFrJPTtQtnfq3cvbm0hCG3Gf4AyO2EHcWyAJ6azDDtjRpM+1bTE2DhHGz4KNplBcSI
	hicnjtxm4LiThNzeuGqRDo5jT+sBuW1pFYl8aKSmbt/1Gchg2rMXLF+/HanJ5R6A6txQ
	QPhMcHLSwHG545GcEjGTMPsGpSbCwu2urDnTgNTkRtNHHS4qECI5NZypqdy9pXQpklMY
	n0jwK24zEqZdMAdYOBcbPqpyWQExojEnp1PVhNxevXhOAZDbCfpJiN1ZajJh4Ras4KnJ
	gGkDcOByR0B1jiogRzRkNJ8+EDjud3rPSUdur1gAcFwIn0j0Yzacadu+U4YO0y6ct3Tt
	FsLCUWq6I+aaANN2tOmjcBcVkD7Db9GYkds6OE5HbrfF6weJuovYPzA1EUx7086K6lP1
	VzDX5GLrR1XuKRAmOW0Ccls4g62/yNTUd9CI8ZPyZwOm7V6DR01JUUCOaIzkZIHc7gvk
	tp1GE4SFYzDtQwTTvn7nIS06A5h2UnoCKnVSAekzRnJqffpQgOOWzivMmzgWyG07XeZ/
	emoSWDjAtJ1s4CjbIwoEJSdr5HbXju2+xS0aGwxHTU0EOMgvWrhyw479VRILB5i2R3oG
	DsNOBeSIRktOr/9QkNs6OG4QkpMNDqMVYU5NUwvnEUx7r0xNgGnb2bhRlmcUkD6jJScF
	ub1369pl8wqnIjnZZjL/C0pNljBt+fqkZ5oJDgQKJKiASE4Mf/CR3nN6BuS2jc5iKkpJ
	TSaY9m+Xbtx73PLH63eAaSfYmrG7ZxUQRsOSkwkcB+S2ySUS/4Nj4dp3pif0Bg7nWLiw
	MO3/PNtkcGBQIGYFhM8oyenu9YazNYf2bl23LBC53Sbx3pa2JYi5pl79GRaugGHhdh00
	YNpsSvvPz1h0JuYGjB1SQgHlFo0Kjjt/+thBQm6XFBdMyQE4zg5vNFJTEEz78o37Wmoi
	m6EXDvQLkhKNBwcJBaJWQIxoKDkZ4LgbOjhuJYHjfsgeObhvVvfODBwH5Ha8lsNsxgKm
	fbzuYuPdR8DCRd1asWGqKiB8hicnjtzWwXGWyG3gD+KyGjU1mbFwgGmnas/BcceiQIjk
	BHBcXH4SYidmMxZYuNrfLgOmHUtjxbYprIAY0SjJiSG3j1YEIbfxWHAIIwn/sSk1BcO0
	XwGmncLdB4cepQLCZ/Tk9Kr1KZDb4Y0jxm+11NSpaybNNYnUVHns9IWrBuAAc01RNlZs
	lrIKBCen580POHKb4w+KZ0zJGTO0PwPH4T2nGA1G21xJTRwLV7RoVVk5YNop22Fw4HEq
	IEY0puQkkNvTJ2ePGtKP4Q/afoPkFLPVyNQEmHacDRS7+UIB4TMiObFFPC/WHT+8b9v6
	5RwcNxzguJgNRt+BpyYNpj2MwbTnlpQyLJySmv7CE3q+6Ec4ifAKmJJTMHJ77oy8CWOG
	Abkdn9GYUtP3k6fPMVLTlZv3CQv3+v1HPKEXvnniW98oIEY0PDm9f/2i5cn9mwSO0+ac
	FHAcklOMbqOmJoaFm0VYOMC0fdNxcCIxKSB8xpScDOT2gln5AMfF6C/G5npqUmHahIX7
	FVi4mNonNvaHAtbJ6VoDQ25vAXLbMI3Y/+WpibBw3bP6DRnFUtPiVYBp+6PP4CziUUCM
	aLTk9IaSk0RuL5bJqSOQ2zG4jZGaCKatAQ4A046ncWIf3yggfCY4OWnI7UnjRwzq8103
	eqHya7xQGa3VGKmJY+Em5M2cSzDtQCwcVoPwTSfCiURUwDI53aHkVFO5R0Fu98jo1B6r
	ksdkMwpMm7BwG4GFi9gWsYGfFRAjGnNy0pHbPwO5Ha27iO1YagqAaW/YzgEHtBrE762v
	ANP2c3/CuVkrIEc0ZDQKcru2av/2DUBuC/eI/hcJOBgwfOzEPAOmfZZg2g+bnwMLZ90O
	8am/FZA+w2/RcOT2Q0pOZ1ly0pHbwwf0ZsmJ3aLBSjSRDIffnDFSU86PBcDC+bsD4eyi
	VCAoOQWB4+g9p56ZXQCOi2Qx7HuZmvoOGpk9ibBwK3QsXOO9Ry1ITVE2SmzmOwXkiMZI
	TgK5vWPDioVF+ZOyRwIcF43HaD5DS3W276QBDlhqIiwcYNq+6zQ4oZgVkD5jJCcVuU3g
	OCC3ozWZYCwcS027DlSfPn/1VtOTZy/e4L2mmNsndvCLAtbJ6fzp6gO7Nq1e8nPBjzmj
	WXICcjui3yipycDCUWo6Api2X7oKziMBBeSIRktOArl9ZP+ODTpym/AH7Gk94A/Ceo02
	1ySxcPPCY+HAhUug1WLXVFNA+oyWnDhyW4LjCLmdO3b4QJpz6ow5pwg28+XX37br2DWz
	Z/8ho2muiWDam43U1MxSkxkLl2rtBMcLBRJTQCQnhtz+ZEJub16zpJgnp/5ITmFNxjTX
	pKWmRSvLdvxypBYw7cRaJ/b2jQLCaFhyCkRuLyrK18BxSE5hnSYIpr183ba9h2rqGhrv
	PmRYuPef/vpM9EngJ33TbXAiMSogfEZNTo0NdYTc3rZuOZDbYf1F/1J/Qo8DDgDTjrEB
	YvO0UEC5RQPkdjSmErwN2Qx/r4kWnRk8KnvyTxxwwFITsHBp0YVwklEpIEY0lJwM5DYD
	xx35xQSO43NOX+L9gyCfMRadyfiu98DhwVi4l8DCRdUMsZHPFRA+w5OTitzm+IPCabnj
	aM7puwwsRRNkMfwDNTUJLNxBjoVran7GXp8EFs7nXQinF4UClsmJg+MO7t5cWiLBcXjP
	ycpomM1YwbTrkZqiaHzYJI0UECMaU3KqB3LbylcCPgtMTbPmM8DB4eN1F7VFZ5Ca0qgj
	4VTDKiB8Rk9Or1otwHFITgEOo/3JUxPHwjGYdt6MYmDhwrY1fJm+CpiSUzA4rnhGnoHc
	xiKeAWajpCYO0xZYOKSm9O1POPNQCogRjTk5SXAckNsBBmOMZtrQahAdOmd8p8K0q04g
	NYVqafg8nRUQPhOQnE5UAbltaTD6h3pq4lg4gmnP1GHaZy5cvf3AWKoTgIN07lk4d1WB
	UMmJgeNozmnuTB25DfyByXVMqUnAtKtP1mswbSw6o7Yx/A4F/u//xIiGJyd6oVJHbldX
	sKf1JDiOVoj4Gk/rBacmwLTRi6BAZAWEz5iSE5DbpvFLwB9qahqrpSbAtCM3NWyRxgpY
	JycgtwOsRf2TpyYDcKDDtIGFS+M+hFOPRgExopHJiSG3OThulYHc5vgDJCdmN3KpTgOm
	vWL99n1VJ85dEk/ofcZqENG0PGyTTgoIn6HkROC4t9rTepfO0ZzT9vUAx6kjGf47G85o
	gIMBwwgLZwnTVhadwVKd6dSZcK4hFVCS0z+fjaf1TMjtiWOHGeA43ArmN2dkaioATDtk
	y8IXUEBVQIxoLJLT6sVAbqtDmqDURFg4HaYNLJzaqPA7FAhQQI5oyGg4cluA4wi5vXB2
	/qTxIwb1Af6A+Y0FTHvrnsqasw3X77ClOmk1CNNSnUhNAW0Nf6avAtJn+OQ2IbcNcFzl
	nq1AbpuHMxxw0CWzZz8OOABMO327Dc48ZgWCklMQcpuD49IeuS1TUyBM+walpj9ev/vw
	6fPfdBPYcO6YLwR2gAI+VsDoF//+qyUnAY6rInAckNtiRCNT08DhNNcUCNMOBBwgNfm4
	z+DUYldA+oyWnDg47s71hrM1hyg5AbmtG40+10RYOC01ERZOwLQ5Fu4jLdUphzOxXwfs
	AQX8rUBwcmpuunVVQ24b4Lh0R24rqcmAaQssHE9NH02pyd8NBmcHBeJRQDUaDRz36N6N
	Swx/AOS2PpwJwsKFh2nHcxWwDxTwtwLCZ5TkJJHbAMexKW0dpt2LwbSnaDBtAhycv3oL
	gAN/dw6cnW0KKLdoLMBxhNyekjN6SP9emV3TFX8QkJoIC7eyrJxj4W7ce8zmmnBzxrbG
	iIJ8rIAY0fDHgt/RnNPjezd0cNzKRUU/pTdym9kMX6qzB2HhxuZOLZzPYNqHJUz7g/kJ
	PR83FJwaFEhAAeEzPDlxcNzDuwy5fTgAud2h7ddftUk3QqWSmghwMIUAB2s27+ZYOKSm
	BBoddk07BUIkpwunjxE4bk2ag+PIZhhMu4sJpl0BmHba9RKccOIKiBGNTE73OXKbL+JZ
	9NPk7FGD+2V170KLeH6VXm9ui9QEmHbizQwlpLkCwmdkcnp0t/Fi3fHD6Y7c1lJTp66Z
	vRgWjqWmUj013W7SAAeAaad558HpR61AcHJ63txkhdzu1O7btFqVnNmMkpqmFy1aVVZe
	cfQkYNpRty1sCAWkAmJEY0pO9To4rmi6kpzSyGhkalKxcIBpy3aD36BALAoIn9GTkyVy
	u893GZ3Tas6JpyYO0x4wjLBwgGnH0qSwLRQIUsCUnIxFPFly0sBxhNyeMGbYAHpar1Ma
	IbeV1DRklMDCUWrSsHB4Qi+oGeEDKBBBATGi0ZOTAY47mrbgODU1ERZu2qz5y9dvI8BB
	nQQcmNbQiyAwvoYCUEACKk3JyQDHzZ81LXf8iIFplZz01MRh2joWbvPuyl/PXLgGmDY6
	DBSITwHr5HTtgoLcZviDzLRBbvPURIADekLPSE0byysYTPtW05OWF4Bpx9fOsFe6K2BO
	Thy5zcBxJwm5vVFFbndslw7gOCM1dfvOwMIt51g4pKZ07yc4/8QUED4TnJy2r1++QMcf
	fNctPeacglLT0tItBDg403DtzgPtCb2/Pv/9L5YETqzNYe/0U8AyOZnAcRPSJzlxmwEW
	Lv16Ac7YeQXEiIbPOYnkxJHb6QWOY6mJHgTu3C3LSE0E094vYdoAHDjfGlGDXxWQIxoy
	Gg6O+53ec2LI7f1phtxmwxkFpl04b+laIzU9NFITYNp+7Qc4L2cVkD7Db9EQOO5580Mj
	OenguLRAblukpk07K6pP1dNSnU+eYa7J2WaI0n2vQFByMsBxFTs3pU9ykqlJYuEA0/Z9
	48cJuqaAHNEYycmE3C7Kn5Q9clBfvyO3I2DhANN2rT2iIn8qIH3GSE4GcjuNwHF6ahJY
	OAbT3nWg+hQDHCA1+bPh46xcVsA6OZ0/VX1g16bVS34u+JHwB/4GxympycDCbdixv6r2
	3CXAtF1ujKjOtwrIEY2WnEzI7ZULi/J9jz8wp6apBNNet3XvoZqzDdfvPHza+hIwbd+2
	fZyYewpIn9GSk4Lc3rt1HSG3p04cO3xg7x70nhPDH3whWPd++UWmJoaF+1HDwh2o1rFw
	NNf0ybRUp3tXBjVBAT8pIJLTvxo47sUzgdzebCC3+/f0KzguKDURFm4Hw8JRatKwcIBp
	+6m141ySpoAwGpacPurgOA25XUbgOH8npxAw7bqG63etUlPSLhIqhgIproDwGSU5EXK7
	ruYQS07+Rm6L1ESAAw7TJizcLsC0U7xF4/C9qIByi8YCuV3CkdtD/YncJpvh7zV1z+rL
	5poIpk2AAw2mfR8wbS82VhxTCisgRjSUnP7UktN9A7m9SiC3u9MKEf4Cx7GbMxymrWHh
	DJj28bqLjXcfsbkmwLRTuFXj0L2mgPAZnpw4clsHxxnI7XE05+Q//IGamsxYOMC0vdZG
	cTypr0CI5KQht0t9i9xmNqNg4bTUVHG0Fli41G/SOANPKiBGNEpyunm5vlbDH5iQ274B
	xwWkJh1woGPhnra+QmryZFPFQaWwAsJn9OT0qvWpitwm/IH/khNPTRwLx2DaJiycDtPG
	Up0p3KRx6B5UwJScdHAcR24LcFzOGD7n5B9wnJKahozKngyYtgebJQ7JdwqIEY05OanI
	7SH9srp3oTknXyQnmZoA0/ZdY8YJeVYB4TMiObFFPC/WHT+8b9v65QwcR8nJR+A4PTVl
	ZPbSYNpzS0oZFu70havAwnm2keLAUl4Bq+T0QCK35xrIbZ+A40ypKRimDSxcyjdonIBH
	FRAjGp6cOP7g/k0Cx/kRua2mJoJp589aAJi2R5slDstnCgifMSUnA7m9YFa+j5DbIjX1
	HjBMh2lvYTDtBsC0fdaqcTpeU8A6OV1rYMjtLaUlc2fm+QYcx1OTCtNevIrBtE8Bpu21
	Ronj8aECYkQjkxNDbhM4jpDbi+dMn/z9KD7nlOrIbSM1SSycNUzbcF4fXmqcEhRImgJG
	v/o3ODkpyG2OP6C19VJ3cT0jNfUwUpMFTBtYuKQ1Q1TscwWkz3Cj4eC4BwY4rnSpkZzY
	Ip7fpvBDNNxmANP2eWPG6XlYgdDJaedGv4DjWGoywbQXrtgAmLaHGyUOzXcKyBEN3aIJ
	QG5vWLFwdv6k8SMG9UltcJwEHAwYPnZinhmm3foSWDjftWqckNcUkD5jJKfWIOT28AEp
	jT8wpSYCHDAs3E7CwgGm7bXGiOPxsQJByclAbh8g5DYHx9GcU8/MLh3bpeYtGpmaJExb
	YuFaX737YAIc/OfjS41TgwJJU0COaIzkRMjtG5fO1Vbt30HJKeWR2zI1DdRS07K1W/dI
	LBxSU9JaHipOJwWkz4jk9PThnesNZ2t8gdzWU5OAaRdrMG2OhQNMO50aOs41yQpYJ6fz
	pzXkdnFKI7eV1CRh2gQ4CAHTTvKVQPVQwMcKqEZDc04CuX3klx0bUhy5HQILRzBtKyyc
	j68xTg0KJF0BzWj+1R4Lfs+R2wSOo+SU6uA4kZp6KTBtgYUDTDvpLQ8HkE4KiAFNAHL7
	2MFdErndK/WQ2wGpiQAHgGmnU7vGuXpMAWE0bM4pGLn90w/ZIwf3Tbmn9ZjNcCxcj940
	15SrY+EO1dQ1NFqlJkxpe6xV4nD8poDwGW3OSUtOjRy5vW3dcgW53aFtCr1QqaQmAdPe
	LVITexD4z89/U1rUzx4+47dmjfPxmAJGT6NOF4jc3r15TYoit8lmdJh2v8EEOFBg2jcB
	0/ZYA8ThpIkCYkTDl6Jhc06P79+8/FvtkV/Kyxhye3L2qMGEP0gh5LZITRpMe1rhfLZU
	p8DCAaadJi0bp+klBYTP8OSkIrc5/qAw9cBxamoyw7RvNzU/Q2ryUuvDsaSLApbJieEP
	jh3cvTkVkdvMZgDTTpfmi/NMGQXEiMaUnFIVuS1TE7BwKdMEcaBpoIDwGT05vWpNZXAc
	T00GTHuCCab9oPm5tugM5prSoFnjFD2mgCk56chtBRxXzMBxKYPcVlITh2nPWbSqrLzi
	6Mn6y5hr8li7w+GkmwJiRGNOThIcl63hD7yP3LZOTVUn6i423n30e+urtx8+/fVZWXk8
	3a40zhcKJE8B4TMByelEVaoht/XUZMC0Z+ow7TMXgIVLXvNCzVCAK2CdnK5dYOA4mnNi
	+IMxwwb0yvQ8/oCnpnYdunTP6jdklAbTZli4k/VXbt5/0kKvT36kB4FpOKOfMC4/FIAC
	biogRjQ8OUnkNgfHLZLguA7tvvEwZ0VNTQymPZtg2tv3UWq6hNTkZmtCXVDAWgHhM6bk
	xJHbGjguJZDbIjUZWLiSUoJp1wCmbX3R8SkUcFmBEMmp4UxNCiG3tdTUsUtmT56aCuYQ
	THsnYNouNyVUBwXCKCBGNDI56cjtnQy5XcCR2xx/4NXkxFKTCQu3YAVPTedkavrM5poM
	Tw0jBr6CAlDAEQWM3sfW1iNw3Fvtab1L52jOafv6FQtSABzHhjNt23fKMGDa85au3bKH
	p6Y74gk9ZUobq0E40o5QKBQIp4D0GX6LxozcXrt0Hs05jR1mgOO+bPPF/7z2w2/OmGHa
	m5Cawl1yfAcFkqBAmOS0yfvIbZma+g4aMX5S/mwNpk2Ag8Z7j1qAhUtCg0KVUMBCATmi
	oVs0HLlN4LhGDo7bLpDbnl3EMwgLt5SwcJU1BDi48/ApYNoW1xsfQYFkKCB9xkhOrTo4
	rnLPVkpOhXkTxw4f6FHktp6aBBYOMO1kNCHUCQWiUCAoOQUht0cz5HZX7yG31dQ0MvuH
	/KKFKzdImPYfrwHTjuLyYxMo4IoCckSjJScBjmPIbR0cN8iTycmcmqYWzlu2buteCdN+
	+978+iTmmlxpT6gEClgpIH1GS04cf6Ahtxk4bl7hVI8mp8DUpMK0m5/hvSari43PoEDS
	FAhOTs1Nt656HbmtpCYTTPu3SzdorolS08dPeH0yaW0KFUOBIAVUo9HAcY/u3bjE8Aci
	OXkPHBcbTBuhKeiq4wMo4K4CwmeU5OR15LZITb36CyzcLmDh3G04qA0KxKCAcosmEBxH
	yG1PguMCUhOHaZf/cqT2t8s37j3mqQmLzsTQArApFHBDATGi4S9UcnDcvRs6OG4lgeO8
	htxmNmMB0z7OlupkT+hhqU43Wg3qgAKxKSB8hicnDo57eLfxYt3xQ3s9idxWU5MZC3cL
	WLjYLj22hgKuKRAiOXkVHEc2w1aDYEt1Sph2BUtNABy41mZQERSIXQExopHJSUNuV5iQ
	210If/BVst/cFqkJMO3YLzT2gAJJVED4jExOj3hyOuw95LaWmjp1zaS5JnNqIpg2x8LR
	TeB/sbhVEpsTqoYClgoEJ6fnzU1WyO1O7b5N8qrkzGb01MSwcDTXBCyc5TXFh1DAewqI
	EY0pOdXr4LiinyZ7BBwnUxNg2t5rRTgiKBBeAeEzenLyKnKbpyYO0x4wbAxg2uEvKr6F
	Ah5TwJScQiC3GTiua6f2yUxOptSkYeE0mLaGhXsNLJzH2hUOBwqYFRAjGp6c3r9+0fLk
	/s0rRnJSwHFtk4c/UFMTYeGmzSIs3DZg4cwXEn9BAQ8rIHzGlJw4OG7b+uULZk3zADhO
	T00ZmRILt3l35a/Awnm4XeHQoICqgHVyutagILcZ/iCZyG2emghwIGDahIXTYNq3mgDT
	Vi8mfocCnlVAjGi05PSGkhMDx53kyO3FMjl1TBJy20hN3b7rowEOANP2bFvCgUGBUAoI
	nwlOThpye9L4EYP6fNetc4e2X3/Vxn2gk5GaDCzc3KUGTFti4fCEXqiri8+hgDcUsExO
	dyg5ceT20rkKOC4Zc07cZkxYOMC0vdFwcBRQICYFxIjGnJz+v71zf8cqa+N4hyHnQ045
	huSUEvEKGaRxKDJJKhmRMgkppVEaMUVlQimdj2+GogOjVDO9/9t7r7XPnudxKc/ez+Py
	Xb/UD+y9+6zdfd3fvfZen8sdrUy5XahSbhtfaFhqMpFpn2rvkmTaEBx801Tjh0HAZgSU
	joYKDRfHjdJ3Tky5fcrmym3Wzsgy7S0ZeSqZ9nPhu6bPXyDTttmtgxODwLwJKHWGP6Lh
	yu3nQnJqPiqK42yk3NakpqStOYU/Hzxy4kzH5b4hWmuC4GDeU4wfBAE7IGCSnNTiOEpO
	WzfHMXGcp9HiOCU1hUTEJqaSFq5C1MJBpm0Htw0uAQS+iYDS0UjJSaPczs9KTYy1hThO
	q4Wj1FQOmfY3TSx+GATsiIBSZ6TkpFZukzjONsptMTVpZNqNZzqu/InUZEc3Dy4FBOZN
	wHxyksRxlJySjFduq1KTooU7db77mqSF+6DRwsHXNO/Zxg+CgG0IKB2NkJzMKbeNFsdp
	UlMKZNq2uTNwVhCwHgGlzgjJyVS5nZIQHR7k5+3uwl4LXr5M/6GkprB18bTWVLSnsk5K
	TVymPQNfk/VuABwJBAwhoElOM9OTb17Jyu26yj1FPDmFrfH1MmrNySQ1le6vOc60cJSa
	BC2cJjUZwggnAQEQWCABdaERlNv/lZTbNSSOyzJYHGdGpl1/8lzn1f47ghZuekbzht4C
	//H4dRAAAUMIyHVGlZxIuX21k4njyovzMsXk5MGT0wqdg5OcmiDTNmT2cRIQMIaA6hGN
	7ZXbVGb4d00+ASG01iQKDgSZ9hPItI25IXAWENCFgNzR8A8quXL7iaTcPkDK7bTEWFpz
	8qEdIvQWx7GHM1ymrdbCnfyNy7RfQKaty+zjoCBgDAG5zvDkxJXbojjuJG3iWZy3LWUj
	rTn5e+u/FY06NZlo4V69nZxma03QwhlzW+AsIGBVAmaTkzlxnN5rTmJqmiXTvtDdB5m2
	VSccBwMBmxCQOxpVcrp3s6/7gqHK7dmpaUcxExyIqWl0/N3UB6w12eT2wElBwCoE5Doj
	Jiez4jjdkxNPTVwLx2TaGblFZYeY4ODKjSFJpv0Zqckq842DgIAtCGiSkyiO48rt39ua
	6g6VFeVmJG2ICtNZHMfKjEqmnQ2Zti1uBZwTBHQkIHc02uQkKbez9VduK6lJLdNuF9aa
	kJp0nHscGgSMIiDXmdnJqb2FrTmROI7WnIL1XHMSU5O3b6Ag094ppKYeSk3PpK06sdZk
	1P2A84CAHgTMJadnbM1JSE47czOSNzDlNn1Qqc+u5JrUZCrTnoRMW49pxzFBwGACckfD
	kxN9UGmocludmkimnQWZtsHTj9OBgCEE5DqjSU6KcjtLV+W2nJoUmfZRyLQNmXicBAQM
	JGA+OQnK7aOHyiRxnD7JiacmU5n25b5bkGkbeA/gVCCgPwG5o1GSE1NukziugcRxeiq3
	WWrSauH2Vf/a0t51dXD40QthremL2tekPwucAQRAQB8Ccp2h5ETiuCnhbT2enFTK7QCm
	3Ha0rnKbtTOyFi45YzuTaTe3dfb031Zk2tDC6TPrOCoIGEtAlZz+/SK+rfdMEscd0ii3
	nRxWWnETT/5wRiPTPlh7opW0cEhNxt4BOBsIGEFA7mhMktOJ2oO6KbdNU1PF4V9PtZPg
	QEhNkGkbMfc4BwgYRUDpaKjQqJTb3aTcPlxR8lNW6qaYiGBrJydFcLA2OkGRaff233n4
	fGSc7Qah2aoTIhWjbgecBwR0IaDUGb64LSq37/T3drbJyu3otVbWH2hSE5Np74FMW5fZ
	xUFBwF4ImCQntXJ7DxPHWVu5raSm2TLtu49fjE28Q2qyl3sD1wEC1iKgdDRicpog5fbd
	wWuUnI4frtitg3JbSU3hQmpiMu1znTw10VadSE3WmlocBwTshoBSZ6TkJCm3zzUfq9JB
	uS2mJlmmXUSpSaOF+wgtnN3cHbgQELAWAdPkJIvjjhwUxXGhVhPHqVKTItMmwYEFmba1
	/pE4DgiAgG0JqAsNrTnJyu3zp48f3k/JyariODNauGOkhaPUBC2cbW8DnB0EdCUg1xkh
	OXHlNonjekkcd8za4jg5NQWqZNpnL175c+j+0xEIDnSdZxwcBGxJQPWIxow4TlJu0yae
	C9cfzEpNP+abyLTxcMaWtwLODQI6EpA7Gv5aMBfHqZXbP1orObEyw7VwfkG01pSSmVdc
	/osg0x5GatJxfnFoELAHAnKdUSenYTPKbVcnh4V8UKlKTVHxSek5RWWVdU1ITfZwC+Aa
	QEB3AnMkp6a6yrKinPSkeK4/WFhyojIjyrRDI+M0Mu17kGnrPsk4AQjYnIDc0SjJ6cm9
	m9e7z59uqBGU23GRoQtUbsupSS3TlrRwkGnb/B7ABYCA3gTkOsOTk1q5zfUHVlFuC6nJ
	3cs3kGnh0gUtHKUmroXDWpPeU4zjg4DNCZhNTuaU2+7O36s/YGVG1MIpqan1wh+Qadt8
	9nEBIGAUAbmj0SSnPkkc9yOJ41hy8qS99b5rzyslNam1cJBpGzW/OA8I2AMBuc6Iycms
	cnsB4jiemiSZdrJGpg0tnD3cALgGEDCAgCY5SZt4KuI4Um4nL0S5rUpN6+LUWrib9568
	HJt4/zc+nzRgknEKELA5AbmjkZPTS1pzkpKToj/4nuRkPjWR4GBAFhxo9tCzOQxcAAiA
	gC4E5DozKzl1WUG5LaYmSaa9XZZp34ZMW5fJxEFBwE4JmE9Ot2/0iMrt7d+v3OapydnV
	0ycgVEpNtQ2tHX9AcGCn9wIuCwT0IyB3NDw5ceU2E8f9wcVxpark5Pxta05SalrtHxzO
	ZNo/lZho4ZCa9JtWHBkE7IqAXGc0yUkljhOU20wc903fOcmpSZJpkxauiWvhkJrs6gbA
	xYCAAQQsJKf+ns62pqOKOO5bldu8zGi0cAeghTNgOnEKELBTAnJHo01OpNw+Qcrtwpy0
	zd+uP2CpSSvTruAybUkLN/Vhhsu0pSpnp2hwWSAAAlYiIP1f/0rJSaXcvkZrTr9Wf6c4
	jrUzskxb0cJBpm2lOcNhQGCxEVDqDH9Ew8VxsnK7au+uvIwtCeslcdz8lNumqYm0cJJM
	+9WbyWm8obfY7hJcLwgslIBJcmLiuFt9LDkd+R7ltpKaQiJiNqVm5e+WZdqkhRuHFm6h
	E4bfB4FFSEDpaOgRDVdukzhumIvjSLnNxHGk3A6Zv3LbRAu3l7RwbdDCLcJbA5cMAlYj
	oNQZKTlJ4rg2EscJySk6fN7KbTE1yVo4JtMmLdzlPhIcvERqstq04UAgsMgImE1OQ5Sc
	zjSSOI4pt+PXzVccp05NsYn/odS0//DxU+2WtHD/W2SocLkgAALfSUDpaITkJIvjmHJb
	FMfNNzlpU1Nm3q7yX0Qt3MPnbKvO6RnNi8CoM985Z/g1EFhsBJQ6IyQnLo57KIvjduVl
	bkmYZ3KanZqK9lTWaWTaM/A1LbbbA9cLAlYioElOM/Sd0ytZuV1X+Q3KbVVq0si0rw/e
	pbUmtunMzJd//v36VTyfla4ehwEBEFgUBNSFZuajpNxm+gM5OUXOY81JeUOPtHDKG3q9
	/bcfinvoCe3MV7nUSL0U/gQBEFgSBOg/P70VLJpwX4+wt/V6O9uaj85ec7L8tp7Yzqh3
	g6hp4DuPUzszOv6Ons58+kINzb/U0mCAAAgsTQJUAP758uXTzPQU2yz48V3ze+tZFlTy
	pzMu7t7ccsvamfKqo/TqTM8NtqY9NvGOXgWe+fT5CwYIgMASJ/D508zH6cl3E2P0VvDQ
	Dfpwmxqacv75gfgoeA7NCi02Cd9PhtDTmbQf80v319CaNu3Veech1Znxt5NT0x8+ztD4
	hAECILBkCbAa8PHD9NTk23GqMw/vDFztorXtmv2l+aRZiVWe0CxfZm7Ii02yF66SfdjU
	fX1wmOrM6Os3b99PTv09jQECILDkCfw9Nfn+7ZvXo1Rnhgevd7PPnMi4nZueJNgP5jBu
	C0+BPXhs2piSmVdMsanpbMdlqjMPnr4YGXs98ebtu/fvJzFAAASWOIH379+9fTPxemzk
	xdMHVGcud5xtouBUnJeZspEHJw8XJ0vaOP6OnqvH6oCQCP4qMG3WWd/cdvHy9YHb9x9R
	oRkde/V6fHx8AgMEQGCJE6BC8PrV2CiVmUf3bw9cv3yxrbm+el9JftZ/EmPFl4JpC0+z
	wUnY3srTZ42w9zg9nmF1pqP7av+tYSo0z1+8HBn566+/RjFAAASWOAEqBCMjL188pzIz
	fKv/ancHqzP0gCZb2FmPe3Bpxcnc85kVKxxWObt5+dLjmfikrTkFrM40nbnQ1dM3MDR8
	78Gjx0+fPnv27DkGCIDAkidApeDp08ePHtwbHhro6+m6cKaJ1ZkC9jVlVFigrxd7QGO2
	zkir2r60+fiGpPScwtKK6mONre2/d/f29Q8O3Rm+e//+/QcYIAACIEAEqBzcHb4zNNjf
	19v9e3tr47HqitLCHHoQTBvrzbElufIYWKgzBbv3VdU1tJw939ndc62vf2Dw5q1bQxgg
	AAIgwAncunVzcKC/71pPd+f5sy0NdVX7dheIdcbP2+KDYF5nXNlyE6szW7Pzi/dW1tQ3
	nmprv3ip+0rv1WvX+zBAAARAQCZw/drV3ivdly62t51qrK+p3Fucn72V9zNUZ8jlZPbT
	A1WdiYrfnJaVt/Pniqra+saW1rb2joudl7q6MUAABEBARaDrUufFjva21pbG+tqqip93
	5mWlbY6PYhuSz1FnfnBwYv1MYNi6uMSUjNyC4rIDVTXHGppaTreebTv3WzsGCIAACKgI
	/Hau7Wzr6ZamhmM1VQfKigtyM1IS49aFBQp1xuzCtrTFle+a0MiYhGRqaApLyioqq2vr
	6o+faGxqPnnyZAsGCIAACIgEqCQ0NzWeOF5fV1tdWVFWUkjtTHJCTCTt3untTi/qWagz
	Kx1WubjR19rB4VHU0KRn5RXsKi2rOHCo+nBN7ZG6urqjGCAAAiAgE6CicKS25nD1oQMV
	ZaW7CvKy0qmdiQoPDvDxdHOx8CUlez7DPqP09l0TEr4+PnFLWmZOXn5RcemesvJ9FfsP
	YIAACIDALAL7K/aVl+0pLS7Kz8vJTNuSGL8+PITaGXo842jpOTD7XNvF3dPHPyg0Ijp+
	U1Jq+rbs3B35hUW7iotLSnZjgAAIgICGQElJcfGuosL8HbnZ29JTkzbFR0eEBvn7eFJs
	cjS/Aw3b5YpeCGYNTUBQWOT6uITE5NS0jG1Z2Tm52/No7MAAARAAARUBVhe25+ZkZ23L
	SEtNTkyIWx8ZFhTA2hl6Hdh8nVkmBCcXN15oQiOiYqjSJCWnpKZtTc8QRyYGCIAACHAC
	UlVI35qWmpKcRFUmJoq6GVZm3KidMR+blrE6wxsad0/W0YSujYyKjo1P2LgpcXNSUlIy
	BgiAAAiYEKDisDlx08aE+NjoqMi1vMx4uvN2xuxreqzOUHBydHJ25YUmMDh0bXjkuvXR
	MbFxcfF8bMAAARAAAZmAUBfi4mJjoteviwxfGxocSN0MKzPUzliITcuW84ZGLDQ+vgFr
	goJDw9aGh0dErsMAARAAAQsEIiPCw9eGhQYHrQnw9ZHLDLUzZvefYQ0NJSdWaNw8vLx9
	fP0CqNYEBQWHhIRigAAIgIBZAiEhwVQm1gQE+FGV8fJwE7qZlSvMb3NFwUkqNE4uru4e
	nl7eq318ff38/P0DMEAABEDAAgF/fz8/X1+f1d5enh7uri5OLDSxMmO+neFPaFhH47DK
	iSqNq5u7BxUbL28MEAABEJiTgBeVGA93N1dWZVY58DJjqZ2hPfZ4R8MqjSOVGmeqNVRt
	3NzcMUAABEDAIgEqEqxWuDhTkXFkVWaubobt5ckKzYqVrNI4ODquomLDhzMGCIAACFgg
	IJaJVascqcgIVcZyaBK3DF7OSw2rNT+waoMBAiAAAvMiQCWDdTLsyYylRzNileF/0E+x
	tkYcKzFAAARAYE4CUrXgNWY+RUYpOKzcYIAACIDAfAko1QN/AwEQAAEQAAEQAAEQAAEQ
	AAEQAAEQAAEQAAEQAAEQAAEQAAEQAAFrEvg/HM5K+QplbmRzdHJlYW0KZW5kb2JqCjIy
	IDAgb2JqCjM1ODg5CmVuZG9iagoxOSAwIG9iago8PCAvTGVuZ3RoIDIwIDAgUiAvVHlw
	ZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRoIDEyNiAvSGVpZ2h0IDEyMCAv
	Q29sb3JTcGFjZQovRGV2aWNlR3JheSAvSW50ZXJwb2xhdGUgdHJ1ZSAvQml0c1BlckNv
	bXBvbmVudCA4IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Ae2b+1MSaxjH
	NVHuN0VALkGLKJeQNilSKmBgKFKzLItKHAtrwjCqkZHJLjimjIw3SsbLFJkTOmqMNow5
	TjrnXzvPQmeaFPO4dc7OnLPfn/aX3c/zfd7L7rvv8xYUkCIzQGYgl4HC36YDZRSoh76r
	6Bf0/SmH4KF/I4gcGYgUSvFvEoUCj8MC2S+ALDsHLqFSaTnRcerb7VRqCdiAEPbhf2MX
	F5cAmM5gMJlMFovFxi24GR7BYNBpNCyCn/MxeBHkG9AAZrE5HC6Px/8l8XhcDocNMTAg
	gBx/j/Rn4eAbY7M5XD6/tEwgKC8XCkU4JRSWlwsEZaV8PpfDxvjgH9KfH485x4xjbB6Q
	hSJxhUQilcnkOCWTSSWSCrFICBHwsnywj+HzdP4sHBqcyQI2oIErVyiVRxAVbiFHlEqF
	HGKAAIDPYmLNnx9fiLU5lQ7G+WVCsQTIiEpdVa3RanU6PQ7pdFqtprpKrUIgAolYWMYH
	+3Qq1vd2mwfrAKcx2Vy+QCSRK5HKKq3uqMFoRFH0OC7BjUaj4ahOW1WJKOUSkYDPZYP7
	Ykqe3IN16HCMLFyqQNQavcGI1p44aa6rB1kOLOyuOvPJE7Wo0aDXqBGFNItnQNfLY74Q
	rNMYLA5fIJYqVNX6GtRkrrOcsdrsDofDiUNwm91mPWOpM5vQGn21SiEVC/gcFoMG5nem
	PmedCXCRVFmpNaCmUxar3ek6725obLqIS02NDe7zLqfdajllQg3aSiXmnsPMZx6jQ955
	AFdUao215tM2x7kLTc0tV1qveXDqWuuVluamC+ccttPmWqO2Eks+jw3md6UeEl9CY3JK
	hRKFSltjqrc63Y2Xr3pueds77vh8nTjk893paPfe8ly93Oh2WutNNVqVQiIsxczvSn3h
	IRhtYF0sR6oNtfU2V8Ol1hveDt89/4NA98MgDj3sDjzw3/N1eG+0Xmpw2eprDdWIXAzm
	YdTtbHgs8dDqQolSrUfNVldji6ft9l1/IPikJ9QbxqXeUM+TYMB/93abp6XRZTWjerVS
	IsRaHlL/43SXpXPLRHJEU2M67QR4u8/f/TgU7nv+ItKPS5EXz/vCocfdfl874J2nTTUa
	RC4q4+all9BZPEGFolKPnrK5L3naO7uCofDzyMBgdDiGS8PRwYHI83Ao2NXZ7rnktp1C
	9ZWKCgGPRS/Z5Z1SQmdjia8ymCyOptY2X9ejUF/kVTQ2Oj7xGpcmxkdj0VeRvtCjLl9b
	a5PDYjJUYaln06Hb7cg8hcrglIpkiMZoPnvu8o3b94Ohvv6h2Fh8MjE9PYND09OJyfhY
	bKi/LxS8f/vG5XNnzUYNIhOVchjUPHQmB5pdpUPr7Beueu8GAB4dmZicmn2bfD+HQ++T
	b2enJidGooAP3PVevWCvQ3UqaHgOMw8duryg4rD6aC0k3tPhfxx+OTQST8y8m5v/mFrA
	odTH+bl3M4n4yNDL8GN/hwdSX3tUfbhCAJ1+l3cYcFwB1uwnzriab/oCoWcDsYnEbPJD
	anFpeQWHlpcWUx+Ss4mJ2MCzUMB3s9l15gTW8AKs0+9sd6DzgF5tNFvPt3jvBcOR6Njk
	THJ+YXklvbqGQ6vpleWF+eTM5Fg0Eg7e87act5qN1UDn5aWzeOWSI9DpbO4r7f4nTwdi
	8al3AE+vfc7g0ue1NODfTcVjA0+f+NuvuG3Q7Y5IynmsfN5Z/HIpoj1WZ29o7ejqeTY4
	+mZ2LrWUXsusf9nAoS/rmbX0Umpu9s3o4LOero7WBnvdMS0iLefvQRfKEC1a72i8dicQ
	ehEdS7ydX/y0mlnf2MSljfXM6qfF+beJseiLUODOtUZHPapFZMK96TDggH7d190bGR6f
	Sn5cSn8G+NctHPq6ubH+Ob30MTk1Phzp7fZdx+g61b70Jo/vYbg/Fp9+n1pezXwB+DYO
	bX3d/JJZXU69n47H+sMPfTDk9qLDC5bG4gtlWe956H8cWNs/p//wbVVYVAzTPEx1+uMW
	50VPZxC8v56ZW1hZy2xsbm0fmA03bG9tbmTWVhbmZl6D92Cn56LTclwPkx1M9MVFJP3b
	m47MPNnryBFHzjbkTEu+ZQ74miXfsOTXBfllRX5Vkl/U5GqCXE0UkCspciVFrqTIlRS5
	kiJXUv/ZlRShf4kL9qH/s3/If6ATtjtA5M4IobtChO6IEbsbSOROKIXQXWAKldAdcGJ3
	/wmtfCgitOoDq7chsOKFyGofYiudiK7yIrbCDStsJKq6r4DQykagE1vVSWRFK2aeuGpe
	oGO5J6qSOYcnqoq7gNgK9hyeqOr9giw+e3qAiJML8M/228kJ7LjIv35qA/tlnOUfIubE
	SvaXNYGndbL8v4KAOH6Hvj+TvCIz8H/PwJ+TOuU7CmVuZHN0cmVhbQplbmRvYmoKMjAg
	MCBvYmoKMTc3NAplbmRvYmoKMjMgMCBvYmoKPDwgL0xlbmd0aCAyNCAwIFIgL04gMSAv
	QWx0ZXJuYXRlIC9EZXZpY2VHcmF5IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVh
	bQp4AYVST0gUURz+zTYShIhBhXiIdwoJlSmsrKDadnVZlW1bldKiGGffuqOzM9Ob2TXF
	kwRdojx1D6JjdOzQoZuXosCsS9cgqSAIPHXo+83s6iiEb3k73/v9/X7fe0RtnabvOylB
	VHNDlSulp25OTYuDHylFHdROWKYV+OlicYyx67mSv7vX1mfS2LLex7V2+/Y9tZVlYCHq
	Lba3EPohkWYAH5mfKGWAs8Adlq/YPgE8WA6sGvAjogMPmrkw09GcdKWyLZFT5qIoKq9i
	O0mu+/m5xr6LtYmD/lyPZtaOvbPqqtFM1LT3RKG8D65EGc9fVPZsNRSnDeOcSEMaKfKu
	1d8rTMcRkSsQSgZSNWS5n2pOnXXgdRi7XbqT4/j2EKU+yWCoibXpspkdhX0AdirL7BDw
	BejxsmIP54F7Yf9bUcOTwCdhP2SHedatH/YXrlPge4Q9NeDOFK7F8dqKH14tAUP3VCNo
	jHNNxNPXOXOkiO8x1BmY90Y5pgsxd5aqEzeAO2EfWapmCrFd+67qJe57AnfT4zvRmzkL
	XKAcSXKxFdkU0DwJWBR9i7BJDjw+zh5V4HeomMAcuYnczSj3HtURG2ejUoFWeo1Xxk/j
	ufHF+GVsGM+Afqx213t8/+njFXXXtj48+Y163DmuvZ0bVWFWcWUL3f/HMoSP2Sc5psHT
	oVlYa9h25A+azEywDCjEfwU+l/qSE1Xc1e7tuEUSzFA+LGwluktUbinU6j2DSqwcK9gA
	dnCSxCxaHLhTa7o5eHfYInpt+U1XsuuG/vr2evva8h5tyqgpKBPNs0RmlLFbo+TdeNv9
	ZpERnzg6vue9ilrJ/klFED+FOVoq8hRV9FZQ1sRvZw5+G7Z+XD+l5/VB/TwJPa2f0a/o
	oxG+DHRJz8JzUR+jSfCwaSHiEqCKgzPUTlRjjQPiKfHytFtkkf0PQBn9ZgplbmRzdHJl
	YW0KZW5kb2JqCjI0IDAgb2JqCjcwNAplbmRvYmoKMTMgMCBvYmoKWyAvSUNDQmFzZWQg
	MjMgMCBSIF0KZW5kb2JqCjI1IDAgb2JqCjw8IC9MZW5ndGggMjYgMCBSIC9OIDMgL0Fs
	dGVybmF0ZSAvRGV2aWNlUkdCIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4
	AdV5Z1gUy7N3z2zeZQlLzjnnnHOOkpMgLHnJOUoUUURRAYliAERAEBNRRUBQVEQERcwo
	IqDoARQRSe+g55z/vc9977f3y9v7bM9vqqqre6aqu6t6AOBcoEZHh8OMAERExsc6mhsJ
	uHt4CuBeAQj5sQAxIEX1j4s2tLe3Af9r+TGByCJlXHZH1/8q9n9nMAUExvkDANkjbL+A
	OP8IBF8DADbyj46NBwD1E6GPJsVHIxg9hGCWWGSACH61g4P/4MUd7PcbY9C/ZZwdjQHA
	cACAp6NSY4MBIIsgdIFE/2BED9kEACwlMoAWCQCzO4L1/EOoAQBwliMyMhERUTt4AMES
	fv9FT/B/wVSq3786qdTgf/GfZ0FaIh2b0OKiw6kpv2/+X1YR4QnI+/pdKEhNFxlut2Mb
	NuQ/F0A1sUauPMh/Kzr8t80QGYgrMNLFCaHtYJlIP7tdf2O9oFgzRwQjbSH76HijHYy8
	MygoOt7e+W96RmqIsR2C6RB6SWCc6T96zoRSrXZsRo/Qr8QmOLogWATBvXGJTqYIRjwK
	+pAa4uz2t8z3gECTv+kwHEQzs/wjA1No8ZY7fbEgNhcKi7LeGQPSF6wGrEE4CAQJIBap
	I4EssAHGwOTvWhYEASrCSUR4cSAMfERwBNIiCmkThWCBv+WM/wfF7He7YKTdf9coAPwR
	2YR/+/zTmwDS5z86aSAAwf/QqUgfO7yd0cX50HL+0+c/Ejv6fo9G4YLCvMLGP2NCi6GV
	0KpoI7QuWg+tCQTQbGguIItWQWugDdH6aG2EpwnMwAdEc/A/Y9zRH3ElKLE8KkXLNQTh
	7jy73z9c4Ppbmvbv/f8YAaCNLHQs/DMCAOIDk5F5AIBxVHRKLC04JF7AEJm5gTIClpH+
	cjICSgqKSjvs/2/Kzpr1Z7DfHH+vRRDbo//QQtMAUOdH/PH2f2iBEwB0v0amKfE/NLH9
	iDujAbjn658Qm/hHH3KLLCSACBgQD+UEfEAYSCDvWQmoAW1gAEyBFdgFnIEH2IP4Twji
	g7EgCewF2SAPFIBj4ASoBKdBLWgALeAK6AA3QB+4Ax6AUfAUvARTYAZ8BovgB1iHIAgH
	kSFmiBPih0QhaUgJ0oD0IFPIBnKEPCBfKBiKhBKgvdA+qAAqgiqhs1AjdBnqgvqge9Bj
	6Dn0DpqHlqFfMAqmg1lgXlgMloc1YEPYGnaGveFgOAZOhXPhQrgcroGb4Xa4D34AP4Wn
	4M/wCgqgSCg2lCBKFqWBMkbtQnmiglCxqAzUIVQpqgZ1EdWNuosaR02hFlBraCyaGS2A
	lkX81ALtgvZHx6Az0IfRlegGdDt6AD2OfodeRG9hyBgejDRGC2OJcccEY5IweZhSTD2m
	DTOIeYqZwfzAYrFsWHGsOtYC64ENxaZhD2Orsa3YXuxj7DR2BYfDceKkcbq4XTgqLh6X
	h6vANeNu4cZwM7ifeBKeH6+EN8N74iPxOfhSfBO+Bz+Gn8WvExgJogQtwi5CACGFcJRQ
	R+gmPCLMENaJTERxoi7RmRhKzCaWEy8SB4mviN9IJJIQSZPkQKKRskjlpEukIdI70hod
	hU6KzpjOiy6BrpDuPF0v3XO6b2QyWYxsQPYkx5MLyY3k2+Q35J/0zPRy9Jb0AfSZ9FX0
	7fRj9F8ZCAyiDIYMexhSGUoZrjI8YlhgJDCKMRozUhkzGKsYuxifMa4wMTMpMu1iimA6
	zNTEdI9pjoKjiFFMKQGUXEot5TZlmhnFLMxszOzPvI+5jnmQeYYFyyLOYskSylLA0sIy
	wrLISmFVYXVlTWatYr3JOsWGYhNjs2QLZzvKdoVtgu0XOy+7IXsgez77RfYx9lUObg4D
	jkCOQxytHE85fnEKcJpyhnEe5+zgfM2F5pLicuBK4jrFNci1wM3Crc3tz32I+wr3Cx6Y
	R4rHkSeNp5ZnmGeFl4/XnDeat4L3Nu8CHxufAV8oXwlfD988PzO/Hj+Nv4T/Fv8nAVYB
	Q4FwgXKBAYFFQR5BC8EEwbOCI4LrQuJCLkI5Qq1Cr4WJwhrCQcIlwv3CiyL8IrYie0Uu
	iLwQJYhqiIaIloneFV0VExdzEzsg1iE2J84hbimeKn5B/JUEWUJfIkaiRuKJJFZSQzJM
	slpyVAqWUpUKkaqSeiQNS6tJ06SrpR/LYGQ0ZSJlamSeydLJGsomyl6QfSfHJmcjlyPX
	IfdVXkTeU/64/F35LQVVhXCFOoWXihRFK8UcxW7FZSUpJX+lKqUnymRlM+VM5U7lJRVp
	lUCVUyqTqsyqtqoHVPtVN9XU1WLVLqrNq4uo+6qfVH+mwaJhr3FYY0gTo2mkmal5Q3NN
	S00rXuuK1l/astph2k3aczriOoE6dTrTukK6VN2zulN6Anq+emf0pvQF9an6NfrvDYQN
	AgzqDWYNJQ1DDZsNvxopGMUatRmtGmsZpxv3mqBMzE0OmYyYUkxdTCtN35gJmQWbXTBb
	NFc1TzPvtcBYWFsct3hmyWvpb9louWilbpVuNWBNZ+1kXWn93kbKJtam2xa2tbIttn1l
	J2oXadexC+yy3FW867W9uH2M/XUHrIO9Q5XDR0dFx72Od52YnXycmpx+OBs5H3V+6SLh
	kuDS78rg6uXa6LrqZuJW5DblLu+e7v7Ag8uD5tHpifN09az3XNltuvvE7hkvVa88rwlv
	ce9k73t7uPaE77npw+BD9bnqi/F1823y3aDuotZQV/ws/U76Lfob+5f5fw4wCCgJmA/U
	DSwKnA3SDSoKmgvWDS4Ong/RDykNWaAZ0yppS6EWoadDV8N2hZ0P2w53C2+NwEf4RnRF
	UiLDIgei+KKSox5HS0fnRU/FaMWciFmMtY6tj4PivOM641mQ4HA4QSJhf8K7RL3EqsSf
	Sa5JV5OZkiOTh1OkUvJTZlPNUs+lodP80/r3Cu7N3vsu3TD9bAaU4ZfRnymcmZs5k2We
	1ZBNzA7LfpijkFOU832f277uXN7crNzp/eb7L+TR58XmPTugfeD0QfRB2sGRfOX8ivyt
	QwGH7hcoFJQWbBz2P3z/iOKR8iPbhUGFI0fVjp46hj0WeWziuP7xhiKmotSi6WLb4vYS
	gZJDJd9P+Jy4V6pSerqMWJZQNlVuU95ZIVJxrGKjMqTyaZVRVetJnpP5J1erA6rHThmc
	unia93TB6V9naGcmz5qfba8RqymtxdYm1n6sc627e07jXGM9V31B/eb5yPNTDY4NA43q
	jY1NPE1HL8AXEi7MN3s1j7aYtHRelL14tpWtteASuJRw6dNl38sTV6yv9F/VuHrxmui1
	k23MbYfaofaU9sWOkI6pTo/Ox11WXf3d2t1t1+Wun78heKPqJuvNoz3Entye7Vupt1Z6
	o3sX+oL7pvt9+l/edr/9ZMBhYGTQenDojtmd23cN794a0h26cU/rXtd9jfsdD9QetA+r
	Drc9VH3YNqI20v5I/VHnqOZo92Odxz1j+mN94ybjd55YPnnw1O7p4wmXiclnXs+mJgMm
	556HP196kfhi/WXWK8yrQ68ZX5e+4XlT81bybeuU2tTNdybvht87vX857T/9+UPch42Z
	3I/kj6Wz/LONc0pzN+bN5kc/7f408zn68/pC3hemLye/Sny99pfBX8OL7oszS7FL28uH
	v3F+O/9d5Xv/iv3Kmx8RP9ZXD/3k/NmwprF295fbr9n1pA3cRvmm5Gb3lvXWq+2I7e1o
	aiz1dyyAQmo4KAiA5fNIDuGB5A6jABDp/+QUvyWQdAVCZBCMAmQk2tJBYrRiMAJRIHeo
	AYbhCHgaFYhaRhdgFDBT2GpcKN6EIEakJ8F0KDITvTSDJWMs01nKaxY+Vj+2KxxoTl+u
	Xh5+3ny+JQFvwQfCWiLnxFjEsyRmpeykW2Xp5fzlryqsK2krx6mcVh1Qe6e+pkmnxaUt
	paOha6Jnp+9pEGKYaJRnXGrSYNptdt/8hcWc5ao12obRlsdOfJeivZaDkaOlk52zo4uL
	q5ubu7uHh6en525PL09vzz3uPq6+jlRbPzN/vQDVQKkg/mDmEFzIOu1r6LuwJ+F3kVl5
	Iao6+khMSiw1zjCeM/5rQl9iWVJUslWKcMpm6rO01r0H030z1DPpkbl1PbsoJ2Sfbi5z
	7tz+nrziAyEHdfLZ8jcL0If1jrQc1Th25fhmMX+J9Am5UoUyxXLlCpVK1SrVk2rVWqfM
	TgeeKT87WctaZ3jOuz7yfGpDXuPxpqoL55pbW7ou3m4du/TliuDV6Guj7ZId4Z3lXe3d
	j67P3tjqYbul2OvaV9Q/N2AxWHXn4d13Q4v3sQ9Eh80fBozEPQofdXmsPsY3ThxfezL9
	9OHErWfdkzee33rR97LnVevr42/C3xpNcU4tvxt93zXd8KFq5tjH/bMpcxHzvp9sPysv
	UBY+f7nzte6vvMXQJbtllW9C3yVXvH/0/FRYK/n1doNz032rbnt7x08ACXAjUaIjSAXN
	4CMkDkVBvTA3nAMvo6JRP9EHMYKYQWw8Tg73Dd9PqCamkwLo3MlO9O4MfowJTAWUBuZR
	lp9s4uzeHMWcj7jJPDa8h/lGBMiCDkLHhUdFSWKm4okS9ZKPpb7LMMpKyKnIaypoKior
	SSrzqTCqQqrf1WaQ3WpIs0urUbtSp0A3TS9Uf7eBnaGRkbqxnImIKZcZoznWfN1i0XLG
	atJ62KbH9pJdza5i+1yHOEeqk72znou0K4cbxm3J/ZXHkOfV3ae98r3j9nj7mPrKUJmp
	P/1e+/cF1AUeDAoLtg2RpzHRvoU+DWsPL49IiXSPUoumRM/H3IotjguIV03AJEwknktK
	SDZNYUmZTr2SlrXXLp0n/VNGd+aRrNBsxxwTxDO09qvlKRyQPiiaz3+Is4BymHQEfWSz
	8MfRpWPLx9eKcSUcJyRK1ctMyu0rdlcGV8WeTK8+cKro9Mkz58921ozVrp2TrPc6X9DQ
	1viiaatZsMX0YkjrkUsdl79eVb22v+1xB7lTt4vWXXH9wY3tHtVb4b11fa9uMw0YDNLu
	FNxtGhq6N/+APKz80HMk51Hz6LMx7LjKE5+nuRN1zwYmP74gvpR/5fw65c2pt3enVt8r
	Tsd+uDqzPCszFzxf++ntAvcX968n/1pcSvwmu0JZJa7Bvz5vXN+i/W1/ImAHMsACyU3L
	wH0IC5lDx6FpWBc+iyKj9qNx6CKMGKYXG4Cj4O7hDxLsiPzENdITuk7yOfoKhiLGo0xF
	lErmcyztrENsb9jXOClcstxmPFTevXxl/BcF+gWfCM0IfxFZFl1EoqZJiX7Jc1L7pD1l
	5GUh2TG5OvkkBStFAcVVpRHlepUMVRc1GXVYfVKjRTNHy1VbSntTZ1S3Vi9J38qA32DF
	cNjonHGGiaupnBnG7JX5NYtDlr5WatYk6ymbNtt8O29kpcDYP3dodsxycnIWdf7hMuRa
	6Rbmru1B8njpeWF3qpeFN5v3hz2XfTJ9rans1Gm/i/6pAWaBTIEvg+qDY0K0aWjaSGhZ
	mG+4ZPhSRGdkVpRZNCF6OOZwrFUcPm4wPidBL2E9sSMpLlkueT6lLtUnjSvtyd7CdIsM
	OKMnMyPLIps3ez1nat9Q7uX9VXm5ByIOuubrHRIrIBesHH515HZh09GSY9nHk4pii6NL
	kLCgNKYspjy6IrKSVuV70qna6pTNae8zKWerawZrv55jrVc/b9Pg2OjQtPtCWvO1lvVW
	80vFl99elb6W2NbXQep06irvfnlD8GZ4z81e5r7Q/tsD3IPxd0aGxO6l338yLPUwZ2R6
	1PXxxLj/k5WJg5Ncz1teGryaeJM1Zfve6cOxj6vzJQuDS86rz3fs/+dsaWdPwKoBcM4M
	ANcSAJw0EVwIgGgDsn/oAGBPBsBZE8CcFQC6GQ0gL4l/9w8+YIjsHftAHRhEVg8ssn5Y
	QmHQEagVyfW+w+ywNuwD74Mb4BH4G4oLZYgKQR1DdaLeo0loNTQVfQTdhZ7FsGJMMQlI
	1jWJpcMaYpOwF7FzOCGcD+4U7g1eCB+Cv4TfJNgQzhB+EO2JLSQyKZI0RqdBd5ZMIieS
	p+kd6PsYlBjqGDkZjzERmPZTYEoOM4Y5n4WRpYJVlPUqmwnbJHsUB56jjtOY8wPXAW5Z
	7qc8mbwyvK/4CvlN+DcFugVThfSEMcKPRE6KhonpilPEP0kMSNZI5UgHytjIasrJycsr
	6Cm6KIUr70OW/Da1cfUfmrxa5tqJOo26b/U5DdwMK4zemkiYJpjdseCyDLY6YV1mk2hr
	YLtt17frsH2oA80x1+mS8wdXLjcn90KP4d1kLwfv0j2TvgxUZT9zf5eAgMDMoAvBczTF
	0Oyw8QgJxPNexKjHlsb9THBLbE76ksKeqpBmtNcjPTOjK4uQHZLzMFdtf80BhoMZ+bMF
	hodzj7QVTh2jP25XdKlE5cRgmV35w0qLqjvVDqd+nhmq6am7Ul/WkNpEa9590fAS6+V3
	V1vaMjv2dHle33uz49Zav+ZAxJ1DQxX364ZbR3pGH4/NPsU/031+5OX3N55TbdOkGeps
	9yf8gvhX8Ff1Et9y+XeelfbViDXVXxsb7Vs+v9cPEeQsKwaUIucF7yE8JAc5Q6lQDZLp
	L8GcsBEcBp+Ae+HPSM5ujOwm1ahh1DpaGu2FLkT3oVcwUhgqphzzGEvCmmP3YwdwWJwV
	7ihuEi+Cj8MPEngISYQJoibxDIlISiLN0rnTPSQbk2/Qa9C3M6gxdDHqM95BctTnlEDK
	MnMOCwtLA6s+63O2BHYW9nYOT06Ys5nLg5vAfYMnDrH1HN95fpqAnMAPwT6ho8I+Isqi
	RNEPYv3idRL5knFSvtIOMqayOnLq8qoKaopaSkbKtiq7VSPV8tTrNR5pbmmr6ETpXtRb
	NtA0zDUaNxE3zTR7aaFtWW21aWNvW2x3f9eGg5xjgNMp5xeIjb3cz3p82q3qtc973EfU
	N456w28rQDcwPagvhEBzDT0XthphE1kbtRHjEdsZz5mwN/FFskJKWurNtF/pWhnZmSPZ
	Qjkp+8b3K+QVHviab3eoqWD9iEHh3qNtx1aKTIprThBKY8smK/Qqa0/iq6NOTZzRPVtf
	y1KXX489X9jI13St2bZlujX5MunK6Wsqbfc7fDtXug/e4LnZdsutD+5vG6Dd4bk7ci/r
	gcrwp5Ha0d1jTOO3nvo/A5NVLzRfvn594K3S1Nv3hz9ozyzMnpq3+7SycPDL2l+Wi/uX
	Li+PfJv7vv2DY1X5p/Pa3l9N6582NbZO/La/JHKmlAkawTjYgiQR62dBzdAkjIVVYD/4
	OHJ2s4wSRrmi8lE3Ud/QkmhfdAV6HMOAscEUYB5gyVhHbAX2PU4Wl457hBfDZ+PfEcwJ
	V4gixCoSG+kEHRtdJZmfXE+vQH+DwYbhLRJvMDA1U2wpS8wVLCYsy6y1bK7sJPY+jlRO
	Nc4fXF3cmTyWvOyIrW/ynxCIRSIQFWEuETSy90yLPRcfk3iEZOZPpd/IfJbdkKcoyCha
	ITO6WKVH9Yu6gIabZpHWmA6rrrdek/66ob1RkwnBNMLsmYWV5R1rG5tJO5o9cKhy0nF+
	71roru+xsvuyd6yPmu+yX1WAdGBLsFRIfahYWGOEfGRXtHnMZFxEAjaxJtkw5W1acjo2
	ozCLJbtin1BuS572gYf5/gXQ4QuFXsewx6uK+UpOlOLKkspnKz2rxqvdT30/01gTWIc7
	d6j+R4N7Y9sFlub4lolWzUunrmCuRl573m7e0dWl0N10Q+Rm1S363vS+T7fdBgbuKN09
	e49yP/fB6sPwkQ+j3o+fj7s9eTbh/Ozec6UXRS8/v9Z7U/j29TvZ9xnTozPCH5NnH84L
	f0r83Luw9VXxL6tFjyWPZbtvOt+FV3Ar7390r2b91P25uJb9i/LrzDphPWb9+YbRRsXG
	3Kb65v7NJ1vCW7Stlq3FbZXt5O3rO/aPC1L+cwAL0Rkhx49vtre/iQGAKwJg8/j29nrN
	9vZmLZJkIN9AesP/fK/4vdcgZ+4nT++gwRLZnct/K/8HoaRy8gplbmRzdHJlYW0KZW5k
	b2JqCjI2IDAgb2JqCjU5NTQKZW5kb2JqCjE4IDAgb2JqClsgL0lDQ0Jhc2VkIDI1IDAg
	UiBdCmVuZG9iagoyNyAwIG9iago8PCAvTGVuZ3RoIDI4IDAgUiAvTiAzIC9BbHRlcm5h
	dGUgL0RldmljZVJHQiAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeAGFVM9r
	E0EU/jZuqdAiCFprDrJ4kCJJWatoRdQ2/RFiawzbH7ZFkGQzSdZuNuvuJrWliOTi0Sre
	Re2hB/+AHnrwZC9KhVpFKN6rKGKhFy3xzW5MtqXqwM5+8943731vdt8ADXLSNPWABOQN
	x1KiEWlsfEJq/IgAjqIJQTQlVdvsTiQGQYNz+Xvn2HoPgVtWw3v7d7J3rZrStpoHhP1A
	4Eea2Sqw7xdxClkSAog836Epx3QI3+PY8uyPOU55eMG1Dys9xFkifEA1Lc5/TbhTzSXT
	QINIOJT1cVI+nNeLlNcdB2luZsbIEL1PkKa7zO6rYqGcTvYOkL2d9H5Os94+wiHCCxmt
	P0a4jZ71jNU/4mHhpObEhj0cGDX0+GAVtxqp+DXCFF8QTSeiVHHZLg3xmK79VvJKgnCQ
	OMpkYYBzWkhP10xu+LqHBX0m1xOv4ndWUeF5jxNn3tTd70XaAq8wDh0MGgyaDUhQEEUE
	YZiwUECGPBoxNLJyPyOrBhuTezJ1JGq7dGJEsUF7Ntw9t1Gk3Tz+KCJxlEO1CJL8Qf4q
	r8lP5Xn5y1yw2Fb3lK2bmrry4DvF5Zm5Gh7X08jjc01efJXUdpNXR5aseXq8muwaP+xX
	lzHmgjWPxHOw+/EtX5XMlymMFMXjVfPqS4R1WjE3359sfzs94i7PLrXWc62JizdWm5dn
	/WpI++6qvJPmVflPXvXx/GfNxGPiKTEmdornIYmXxS7xkthLqwviYG3HCJ2VhinSbZH6
	JNVgYJq89S9dP1t4vUZ/DPVRlBnM0lSJ93/CKmQ0nbkOb/qP28f8F+T3iuefKAIvbODI
	mbptU3HvEKFlpW5zrgIXv9F98LZua6N+OPwEWDyrFq1SNZ8gvAEcdod6HugpmNOWls05
	Uocsn5O66cpiUsxQ20NSUtcl12VLFrOZVWLpdtiZ0x1uHKE5QvfEp0plk/qv8RGw/bBS
	+fmsUtl+ThrWgZf6b8C8/UUKZW5kc3RyZWFtCmVuZG9iagoyOCAwIG9iago3MzcKZW5k
	b2JqCjggMCBvYmoKWyAvSUNDQmFzZWQgMjcgMCBSIF0KZW5kb2JqCjI5IDAgb2JqCjw8
	IC9MZW5ndGggMzAgMCBSIC9OIDMgL0FsdGVybmF0ZSAvRGV2aWNlUkdCIC9GaWx0ZXIg
	L0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4AYVUz2sTQRT+Nm6p0CIIWmsOsniQIklZq2hF
	1Db9EWJrDNsftkWQZDNJ1m426+4mtaWI5OLRKt5F7aEH/4AeevBkL0qFWkUo3qsoYqEX
	LfHNbky2perAzn7z3jfvfW923wANctI09YAE5A3HUqIRaWx8Qmr8iACOoglBNCVV2+xO
	JAZBg3P5e+fYeg+BW1bDe/t3snetmtK2mgeE/UDgR5rZKrDvF3EKWRICiDzfoSnHdAjf
	49jy7I85Tnl4wbUPKz3EWSJ8QDUtzn9NuFPNJdNAg0g4lPVxUj6c14uU1x0HaW5mxsgQ
	vU+QprvM7qtioZxO9g6QvZ30fk6z3j7CIcILGa0/RriNnvWM1T/iYeGk5sSGPRwYNfT4
	YBW3Gqn4NcIUXxBNJ6JUcdkuDfGYrv1W8kqCcJA4ymRhgHNaSE/XTG74uocFfSbXE6/i
	d1ZR4XmPE2fe1N3vRdoCrzAOHQwaDJoNSFAQRQRhmLBQQIY8GjE0snI/I6sGG5N7MnUk
	art0YkSxQXs23D23UaTdPP4oInGUQ7UIkvxB/iqvyU/lefnLXLDYVveUrZuauvLgO8Xl
	mbkaHtfTyONzTV58ldR2k1dHlqx5erya7Bo/7FeXMeaCNY/Ec7D78S1flcyXKYwUxeNV
	8+pLhHVaMTffn2x/Oz3iLs8utdZzrYmLN1abl2f9akj77qq8k+ZV+U9e9fH8Z83EY+Ip
	MSZ2iuchiZfFLvGS2EurC+JgbccInZWGKdJtkfok1WBgmrz1L10/W3i9Rn8M9VGUGczS
	VIn3f8IqZDSduQ5v+o/bx/wX5PeK558oAi9s4MiZum1Tce8QoWWlbnOuAhe/0X3wtm5r
	o344/ARYPKsWrVI1nyC8ARx2h3oe6CmY05aWzTlShyyfk7rpymJSzFDbQ1JS1yXXZUsW
	s5lVYul22JnTHW4coTlC98SnSmWT+q/xEbD9sFL5+axS2X5OGtaBl/pvwLz9RQplbmRz
	dHJlYW0KZW5kb2JqCjMwIDAgb2JqCjczNwplbmRvYmoKMTYgMCBvYmoKWyAvSUNDQmFz
	ZWQgMjkgMCBSIF0KZW5kb2JqCjQgMCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9NZWRpYUJv
	eCBbMCAwIDYxMiA3OTJdIC9Db3VudCAxIC9LaWRzIFsgMyAwIFIgXSA+PgplbmRvYmoK
	MzEgMCBvYmoKPDwgL1R5cGUgL0NhdGFsb2cgL091dGxpbmVzIDIgMCBSIC9QYWdlcyA0
	IDAgUiAvVmVyc2lvbiAvMS40ID4+CmVuZG9iagoxNyAwIG9iago8PCAvTGVuZ3RoIDMy
	IDAgUiAvT3JkZXIgMSAvRW5jb2RlIFsgMCAxMzY0IF0gL0Z1bmN0aW9uVHlwZSAwIC9C
	aXRzUGVyU2FtcGxlCjggL0RlY29kZSBbIDAgMSAwIDEgMCAxIF0gL0RvbWFpbiBbIDAg
	MSBdIC9SYW5nZSBbIDAgMSAwIDEgMCAxIF0gL1NpemUgWyAxMzY1Cl0gL0ZpbHRlciAv
	RmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngB7dAHM9ABAMbhlqZKU0lLQxuFSntqR3tHKiNK
	e++9NWlP7b33VkmL0ECkHe1Bi8579/sQ3f2fj/Ckp2dIw1/5g9/4hZ+SihT8wHf5hq/4
	gs/4JB/xAe+RLEl4h7d4I6/xCi/xQp4jEc+QIPF4ijjESgye4DEeyUNEIwqReCARCMd9
	3JO7uIPbCJNbCMVN3JDrCME1XJUruIxLuCgXcB7ncBZn5DRO4SROyHEcw1EckcM4hIM4
	IPuxD3uxR3ZjF3ZihwRjO7ZhK7bIZmzCRmyQ9ViHtVgjQQjEaqySlViB5VgmAViKJVgs
	i7AQCzBf5mEu5mA2ZslMzMB0TJOpmILJmCQTMQHjMU7GYgxGY5SMxAgMh78Mw1D4wRdD
	xAfe8IKnDMYgDISHDIA73NBf+qEv+qC39EJP9EB36Yau6ILO0gmucEFHdJD2aIe2aCOt
	0QrOaCkt0BzN0FSaoDEaoaE0QH3Ug5PURR3UhiMcxB61UBN2Ygsb1EB1qYaqqILKUgnW
	qIgKUh7lYIWyUgalUQolYSklYIHiKCbmKIoiKCyFUBAFYCb5kQ95YSp5kBu5kFNyIDtM
	kE2yIgsyI5PBGDAGjAFjwBgwBv7DgX+zLh0TCmVuZHN0cmVhbQplbmRvYmoKMzIgMCBv
	YmoKNDY0CmVuZG9iagoyIDAgb2JqCjw8IC9MYXN0IDMzIDAgUiAvRmlyc3QgMzQgMCBS
	ID4+CmVuZG9iagozNCAwIG9iago8PCAvUGFyZW50IDM1IDAgUiAvQ291bnQgMCAvRGVz
	dCBbIDMgMCBSIC9YWVogMCA3ODIuODkgMCBdIC9UaXRsZSAoQ2FudmFzIDEpCj4+CmVu
	ZG9iagozNSAwIG9iago8PCA+PgplbmRvYmoKMzMgMCBvYmoKPDwgL1BhcmVudCAzNSAw
	IFIgL0NvdW50IDAgL0Rlc3QgWyAzIDAgUiAvWFlaIDAgNzgyLjg5IDAgXSAvVGl0bGUg
	KENhbnZhcyAxKQo+PgplbmRvYmoKMzYgMCBvYmoKPDwgL0xlbmd0aCAzNyAwIFIgL0xl
	bmd0aDEgMTIwNjAgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBvXp5fFPH
	tf/M3FWrJVn7YkmWJVneF2xsbLAwtjGLHcAEbIKJDRhsAg0QY5YCz0kggJOQhbAEaBqy
	gIEmFsYBAYVH8yBAm5etCWRv+kLStC/+pL/+SJuCJb0zV8YBf9p+8kc+1dXcmTMzd+bM
	d86cOXPubV++ogWpUCdi0JRZzUsXIOmX8S5CpHrekualcToxFeLX53W0u+I0BzSzeMHS
	hUvitPgUQnLHwsWrB5/X5yBkTmltaZ4fL0cDEBe2QkacxiMgTmld0r4qTuv6IG5ffO+8
	wfLEa0CXLmleNdg/+hho10+al7TE62eEIE5Zeu997YP0dIhnL13eMlgf1wN/byIMuQ50
	L5Khe5CACNLA1YiQ8JXcgVgopeXwm5+h2HZ3Qum3SCtK9N01j0nxa+5fXv6uZcCveEL8
	O2TIbtanMR+IBhBSYijvVzwxVCI9BzdHGNWlh9EECGUQCiCkp481o068Hz0O4VkIDGrD
	D6PVELZAeBoCO5Q6CNQJ/HAvKwZP4tXIiicGFaxzut7iNMsVznfCmO97xvmB+fNT2AKz
	93ts6VUh2Vg5fhb/HM1HTvwi8uI1qBql4t1HA4udTVB0EC2F0AmBke4YH+xNynOewRnI
	y2J4xoeSWHzM+YfcTOcXuWGCe52v+sMsRL9KAiqY4DzreMb5n46FzjMQDseLDgWgxjHn
	Qcdi57akMN7d63zSEcbwzBPxaIUDHj3mXBLY4ZyfK5VP3hEmh3udxVA+I6hwFha5nQWO
	q85sf1jEQGc6JjvTcv/bmQIPQjUXNOoNap12xzbnKChKclT6R0E4hQ/hPSgN7+n1TnSe
	hCQM9+iEQNGOMP7p0erUXG8YrwkWVqfuCFT7vYHJTm+gyu+H9IyLwgbhLmGskCekC6mC
	T3ALNkEv6kSNqBaVolwURSGMf9Fb5uRP4cOoDGA5fFTkRS6MX4ZM9hR+Scp86bjIikRE
	oj4c+wyEFyN9GB/u09AUJI7xUooP45eOxrNeCjpZmmKlAg2habjBHREsEjQRhfCjYR5t
	NHaUmct0Y7TFVRX/7NYkldy8p//znxk7Qjsm1dWHDjkaQnk0EXM03Kxuvpn4p3H7Cihq
	KU9PnzRt9dGOpYsWVLZ4Kps8lS0QmkIPd7SaQ51zXa4ji5bSAleI8TXNnddK4+aW0FJP
	S0VokafCdaRDem5Y8QJa3OGpOIIWVE6vP7Ig2FLR2xHsqPQ0VzQcnVu+vPG2vrYM9bW8
	/B/0VU4bW077mis9N6yvRlo8l/bVSPtqpH3NDc6V+qKDr2yrK7+vHaTTVdk2yRVKrQtN
	mDqrPuRqbqgI4/2QWbECcWeRhjuNUrlOZGWzkROh2AcQPqRx9M7Yl9wFpIkuif0/pgQm
	9QQNJFpWis6iR9Ee1IN41A3pVDQH7UKX8CJY27NRH7qMk1AW6F4WhdFk9DqOxd5GC9AL
	UL8dvYq2oyNICc8sQQYo3Yq9sTVAByE9F22IPYdSUBF6CJ1GxdDqVtQfOxg7CqXT0J3o
	EDoMz/8Ge8gRNjH2cuwqEtFUaHMDlLwdmxzrQTqUgcrRFMjdgM5gL/NhrBWZUQlwtxf9
	HO1Dv0Jf4wdwX6w11hF7K/Z7EFUzsqM6uNbhPvx7pod9KLY39qdYFJBIRWnQaxPahp6H
	9nvgOguqtRLfg9vxNrydBMkDpI/dyJmiEcAhgMbDVQ1aeTMgcAKdQ39Bf8ffEDOjYdqZ
	87GC2P9HCjQJRklH0oI64NoE11YY0ynM4xw8Dk/B6/BTeDv+LUkjd5J6spKsIl8ytcxs
	ZjXzW/Y+tpd7hNvFK6Lfxk7FLsTeQybYBe5Cy9F6GN2r6C10DV3HDLRlx15cgsvxHLg6
	8R5yAu/DJ8gUfBa/RQ7h3+HP8Tf4BuGIkhhIOmkn28hh8ip5g2ljtjNPM79jvmXHcITb
	x33Be4WPonOjW6JvxEpiv499BypWRG6YmXJUi+5GzTDapWgE+g8YxUtw9cCsnUPn0SXp
	+hzbUT/6DlBAWIetOA/XwFWL78ALcBt+Bp+E64zEy18JTASRES0xETupI3PJEtJJ3iOd
	jI1JYyYys5geuC4yl5kbzA2WYxNZAzuenYAeYZewu+Haz3azveybXDE3hqvlZnCd3Bbu
	EWYe9zZ3mV/Pb+V7+W/4P4NanCzcKzwCs3MJZPZXIMvf/1icAtznoZ+gebgCz0U7YDb2
	4WbUBdI1H28GvJai1Fgjs54ZT3JAGs6gn4K07kbr0BZmNtoXe585hK6ApCyGJjvRAbYc
	ObidMDsPoByQosErGEgLpPp93hRPstsFKt9us1rMJqNBn6jTalRKhVwmCjzHMgSjjEpP
	VZMr5GsKsT5PdXUmpT3NkNF8S0YTLGVXqOr2OiEXfa4Zim6rGYSaC4bVDMZrBodqYo2r
	FJVmZrgqPa7Qf1d4XGE8a2o9pB+t8DS4Qv1SukZKPy6lVZB2u+EBV6W5tcIVwk2uylBV
	R2tXZVNFZgY+EQQ45JkZVHEEkYI2HELjmteBgkXjaI3KkNVTURmyeCANZYy3snl+aMrU
	+soKm9vdAHmQNa0e+sjMaAsBn+hh5XzP/IfDQTS3iaaaZ9eHmOaGEGmibWnTQyZPRci0
	5gvz9+TNVOUjtxSGiLequaWrKhRsehjApWQTpZofAWpSnQuaJRsb6kN44yATlMdFwCll
	N74neJsWuUIyT7mntWtRE4CLptX3WoNWSfmG0JT6XkvQIhGZGSfM60vcMPoTmWMzx9K4
	xG1eH4//8GA8/52zNDavP/cZxJOmDQGAKQKeCcBnyDVP6sQDzBbRW0sR6ppXBDjBrwHD
	MNuAn3EhAjLDeEOcd0JzqLPuJhutFXHmmhZV9MosVmkTKm+A+k1dmlEwU1Bf43F1fQu7
	dZOn/+vbc5oHc3iv5ltEC+lED8lKCDffTHfQzdILo241e1rp/HZIcwq0x1x5SwbQFBrK
	c0gPG/iUenfI1QAZYE1mTAoj2ZT6IxhvbQjj2MYwqnCcABuVuXsOFGdQUWurgP6ByMyA
	jDQ3pLIyXFXQcxWVFVeXq2vC/C5XlasVhIn1SjEUtHQ1ZAOCdfWAE5oOPQYbbEPJloaG
	UdBONm0HHoHqXQ3QwqLBFiCWsrIjUCknAzZTxjelfmp9qLPCFgpWNMAsgPienVIfOguS
	29AAtXKHOAWO17WZB3nOA55z06A8P94K2C6d0ERDVxdts67e4w6d7eqyddH1FqfDGA3P
	CA5mhBGtQiEP484p8CxEHrdNmgO3xw1sNVBMR4BI35QosNn/NcKFQ3zDkyOB20IJ4aIf
	CeHiH4LwqB+EcMkQp7chXAo8l1CER//7EB5zG8Jl/xrh4BDfwORY4DYoIVz+IyE87ocg
	XPGDEK4c4vQ2hKuA50qK8Ph/H8LVtyE84V8jPHGIb2ByEnA7UUJ48o+EcM0PQbj2ByF8
	xxCntyE8BXi+gyI89d+H8LTbEK771whPH+IbmLwTuJ0uITzjR0J45g9BuP4HIdwwxOlt
	CM8CnhsowncNIRy0hdCterhzmNpFP7pinn0L5GApcTpUToohnoF64Ny1D9KX2PvQXv4Q
	2gn03sH8PsibBofuEoiLIFRDPTvEoyFswBfQBqi/gaYh0Dod5BDaAvVp2yagOyGtgPZ0
	EBug25v+IiWcYs4A7UKz6PH9R/oRqR0GzoL0x0EfAsTUISWjGf/0J4cSBZwLVUiNEsC/
	pR2sqUOJSC/xbYTzjxlZkBXZoMwulY+A08gqFEIX0Z/xWvwOSSW9zFomyi7iRnCdfCq/
	it8vJAvrhb+KreLLsq2yT+VF8jcUa5U6OICUI8S+BWdhBjgsi/u5xGwwRiCImjBCb0Gg
	NKSZj8OIhYAgLXyMTkpjmpF+Elrh0Iz0nNx8rVvrh1DObg0P/A93+vq4MFtzA3wmUKMH
	+umHfujoaoMpQhLLKpgkcJvIxCS5QlQSpZIgvo2UyKxqRvQii0odxoqj7u1bwLVRe60m
	Ulqr+WvNtataXXE2KisrjZSWlfZDOpKbk+g2uLWDAfew2QPbmPSB95i1N14lTu50X7T8
	UFTdA13DD8NpGHHZEh9lQbcoS2IIYTGRCyIreHnOqsJyrwJZlErVs+6OpdC1pvZaabxz
	GqEy6LY4G3qHbulw87UeuHv2XSIDly5F2Evc6cg+cvf1caQnMlXq7xJ0+qSEr4l6DU9K
	QpaVDj4CCivJzsmFdjyXLsGT18dB4V7AaRLU51BuMBERhiSxnMhYBUy8HLLw4M+qO+ru
	mCOBEmfsS2AKWCuLc2Rw771AvhqYCs39pQfa2wneTRO0l4h+E2yowJMYwmMZY8QW5grm
	ErGd0Stsypm4nnkXf8S8q/hIKWflrKqSPETYqWQnIQF5qqpIXqQaT2aSDiJ456vkhNEx
	mCiUOoYXDSaTlWXBobYnqJI7GQUfUWISUTl1kHMsEVn0FMRaDcXwquVacTH8zVfpXFa2
	VADjJoBTZyoGl9QRlTKMD/URmAsFJHoJYTZxNVlrIuy6c5u4eJybgxqXL8PLG5clumUY
	YNeOKCzAHmzQGw1az07swPvx89h6mo02no/O4s5wp2/42A+vj2PmZb618kaAvZJZ+MmI
	gZ9J8gg4c2mAiwzJUUdQPxIX8UTAJuzH43E94QBvQgdl0vG8QAQRBgyOQzkjl2NehFmB
	slc41qoURFpLLkMWhXJQYm4TGBDX4rjAwkCLi9lNWemb1p2nA8GNifmYyg+G/97/JV+e
	/l0k4QwZBUzPYvdfH8e+eOMu4O/m2vkO0nLQAc3BgjZlm261co2OrdbX61v1a/SsICZp
	NRo5VifQFSUXCa9TsjK9Ppe1GhNksJgMxn+wmCJagD6+ljSwkkCocWNuTmOiOw9O57wH
	8EV+H0TuvMKCHrL93J8vfxrNu8B0riq/L9qOH3noAHf6k4u/iEW2sSdGOaPM8scpr+A+
	5VZJuPrRU0GdoJqAq7kGXM+1cfP1qzjReAqcPhZkw/Zgucft8jXplulW6BldklNvNzDu
	JKOe9elSvElIJrMJSQris9tEl9fg9BqZ3IQ2mzUg+rx+uSU1cNm9fcEtqwB0Q/+7cMFi
	KC2LxIdTrDUVYzoD8G+EOD03BzdiGM0IaVyMO4/6IXghCTux0WQ0GTxZOBv7pEIPM/6R
	55ePXhC1XiDd3UveXDJ3xkxOYBS6rGtyJasU5heviZZcYOxLn/xZcVJUTvblzols6M73
	LO88Pz1QpXcnls749vFcW6QLNOu02MeS5yYBfHKl6JNgUVoOlmtg3dn9+dWaNtkijVAs
	6pQyxpYnpMgcGqWjJJ1kBUqOl5CSvDSvTiNwot2fbLKHcVfQY3I4Bb8jS0EcBYpSobTU
	rhcCad0p1jG2gH1igr/IMnrML/FOcFidwDtQXHn2X+un2vNq5Fxce/aXwQXakwoABSar
	P6ufAgV45eaMWx1MLRxpSEbY4sWFCW5kTrK5kdGld2N3MhpJ3MjqMLmxwQ030GjpWFNK
	/a73338/FeoUY37eyMLRWI0TMC/wBlw4EvD2eZIFXvCMwfkUcq0eKkEXauxJ9vv8NPIV
	jCgcmYjVy2vvbtjhbs1bMje3DveNMSgfXPNoiVvezf3t+dMdK0xeZZI2LcPXmGaUjXxj
	7fbTJ3d2vTkrY8L+Jwx2Xq2yZy/Ei8UMc+bsuslpda/tqa7eFdlpT2aYjUq+3BOsXvTK
	5u0vJOKrVE7Bs8e8xdZK++iBYPYBC95l7hYPmZmJonaPnmH0vMMqqBygHQWbzaTx6zDj
	J1qrQ+43WezwukM46l6+bhBdwLa0pr+4mO5HsJ4AW0ho+iUoRyCL6FUa5D6kTtT4sE6b
	oBEsQHGIcWNMWEZhVPlQgg5uMjPvwyzm3ZjiCbBSYOP3dAlbZDSBhFIoQeNRBPMpdKRA
	g/IFcvlzU49m+fpfTMzZ/OTSBy09SX8+9c51rHvXztaGrsx7sHvJs/s+3rLyvfM4/0tw
	S47iAIOi2IdMP/cq7MkOtDKYN1I9Xj1TfYA9aOO8op4kODRIdDiERDlxmBRcVmKWJqDV
	WZ0Kv9WS5NzkXl5+6/AjV68iGDn8tcXauBRZzXaZHGFsVsDY7HBDFuJDcpvogwHCX5IY
	HR2IJCC8AcEapBqxgA4LFYzQ5f/1yX3r9u1fs/kg7qrLGf3Sc2W/uPdo9Po3n+K7v7py
	6Tf/9davycgRSZOI4/qY7fPqceb1P+GZsN6qYx+yVvCU2sGr7sXK4Oqd4tPWA06GU5ME
	Tm9Q6xIM+qAyqBcDVjxJcYy5gF9jLtjeFz+QXXa+7/nK9JVHcUF7QUdmi5w7JWG30ZFS
	zAuC0e2wC3KHUeEVdtoP2I/br9hZrzHBa+cscqWgVfsTHH7O6k/JEvwWi8//rnt/Yxyg
	yFW6+PrfjVA9FFdH2Y1DcgJqV9MPuZK0VCEPyzHghsYcyzt9Wo1Ok6jRa1he6U22pfjA
	SnX4cJJDZhJ8SGFQ+7BK7bG6IYuDm2gGuVJp4EaXZXxdSmszLT3tfrysES1rbAQRgsvg
	ToKVOFISIFiXPKCtBSGSVF8yD3tf3+WiQp1m4Bvu8Z2PTs/RHxHuyJ22euy0i9E/YfP/
	YKcideJLa7s57GHH33Pn1MUTn3v+fGPh+JInsqbYNbAf85jg8qhvRdUDR7swfdkLdghY
	qsTEvQPWa00wXXDwcgeDE/TFRhWvk1vAiFCrtAGTTtAlqJ1qoh7QW8yWAffC9YMINhaf
	o/uTpjZuNsQNHtD2uTm6kYX5eaC66brgDfkGD1gFnoL8glc8ZX3aFJPdopjm6u3r3b6d
	Kx8xm5AXCL7z5a0D85m9W7uBLwaNjpYwX4GsOFEmvL05Hqwp1E8QJ8jqxQbZZuVBW7fj
	oH9/+gmbIigyxuSA+pw8GdQvywccFrnOIU/IErKyODuTZczKDHDWHKXarxrj89st2Tm3
	LJBr/cVUAiJXv4V5HtQQsFKkaY/Pe4Yn1Zqk0KZ4NT5Pks+HUq1w0yrUbpSgVqq8jmQf
	9tsCoCeUOrc0u4PaAaZZWkV05RTka/UC7072+fNhiun0Spo1hc4skhSwpDVAHWOydk5+
	wf7SpdFLL32tPq7yj37wzaCPKdy17uXoDSycxBUv/MeZKu+2ta/ekRF9my0f4xm3aSDv
	9Y4P97xY7S99csYn06b8DYwtFc6K7jvbe/fuV073zNtAMqV53gCgUp1iRHXBDFg1okkw
	iX7Wn7hCWCGKiSqSCKcvrYMXDEq5KiC3mrEhgIwWkxnegh91z43rlLhhC2uG2ttUoxRj
	ukAQmExa2E/imwhYf7BTw6RrPRv6gvkzH/hjXeaJpNxNS4/1ca9GPp7qLn6+4ZnIVPJ8
	x8j63ZcjF6kcEnhDhnAJ2Cf0vFMYtAtfsCCcPCOXgQyC3AYEBhS27ND3nJyLlJ4bEruy
	GhA5arBrQdI2HIcfm3bjMnf69Ztj573seORDG4Mlgiio+QSTaFKbEvyiH9RDtWWGYqFC
	6fHKrQ6PRU5Yk9ftMDlUvIB4m93LJMpTgQltAF4+415rgL5zD4L+zPLCxFv8qWGsuhWg
	q5pr/dcig5yBHQ1roh/0SNziuYmWYRAt082dF0AbxOwW9HqDIxqWddZmpJQ+1/J+bdqp
	e2oWPX3cGli64EAfm73rjpTRZSlVM+r2Tt8aGUm+umfK1v2RJ8ipJXmTnnmToiphyvTD
	GqKn0jnB3OP8BZ6wvJ736zv4doHTK4nerHFwMEyzQm4VrFakDMisdpxlDliQxQZmzW1T
	H1eX8ZUC4+r/fvqpzWy4ZSh0/kF/qTHIAN5wePKh1qtTMo47ctYHAxOLMm19+ADwP2fa
	z2c+R+Vgbul8lbG8YFlb5E1gFiSgJPYB6wYbQCmdqB8P5u8Sd2ieNr7Idov7NQeNYfGi
	eIX9Qv1HvXKUyDvMgtKhU1gEi8VA/AlWm8xvsFhtYSwDS2BQ00tW1vdWgKTSM8D94FMk
	ykAra4kPCyZIcSpIyfVKH8IauIlG2PgZNdwkvU1vdMNP0UmGKkg47PY60NDEDbuitNl/
	tjFn8skXd+x4Hl46D0T/9kl0AOv+wLfjhP075jw10Hv4KvNh9OvotWgk+jJOHwBjLEj3
	+47onawXhq5Gyag9mHFQPGAiqaLLrlXzDoOQwKsddkWymvjN1hR5libLHUhOsHhSNrlP
	x4dHz3DxuZE2Lzoxg9uW3WhDnNXH+pANBsYZ4YYtah9iTNKYpGFR8zAlbnpLBgyoKJwf
	l094EUj3IDAFtR7y2gFv1clTlV64R7N6CoN3/fRY9Hj77tXTckr6Vv/2nc7ZR07N3712
	5n7myNYJqaXRP8IYn9txd0HShMgndJ/ZAgL5JKxBLboj6PMzPtVIZjzLqkUNUcu0MqVf
	pGKolYvWREztGWTRJYZxJSys+FZDx1irgZNpWU3Zucg5ultTwziueyTRG9prtJ4thw0v
	3MOZHRqbZvOTsFROFO4hzBmG9CyP7KLrojx2hTnGToJ9JRtnBR8rku3iduie1u8y7Erj
	U1O8/kJ3lXt8ynj/jJSZ/gUpC32rlatVq9UdnvaUdm+7b39Sd0YiA9s8l8lmJSKrwWay
	mw2Z+qzUBEUbnIIKvcSbrJKz6Ynm1+yORIF1ZO1OV2QLMrWGCCjbnW11mo1mv2lMqk/w
	p1pz1U6/ZgzyZ1lycnuHbBNQIfG9qVgDKTrc4my4w5Kjc0xPCVSlLJMkeTLOJD6D1+pz
	q51uJIPPbTCTAecMLg1SDh3k2fRmN3YlJLuRO1mtEv1yN/Z5ZXKcybrhGyu4JWntbmwx
	wk0yUSTjVrpJInJT8OnZWNrCJHGRTmRwPKBaX/DQ0xldESajdGajB1XY8fA3oreie/6u
	0f77Htsytv2jE3+5Zxw5xPnGPL2grTK1duWr5W0ffPrNBQEfx1Nm5cyceVdlClh1yWkT
	7t/1y62zWkfnja8NVqVZEh3ZGZVPPfbWB8+Sv4MsmWLfEBk3C7TDtFdUWfKzahzGZUEv
	ayw2MbxarrWCuoYvDwLIoDYkME6GMANGi8UKdsvgySByu92STZV0pLRfE7kq7SLUWoGB
	DJ2FfAXUdOk+dviwz5CrStI7x/nXz3riCW5W9L1tkcqiRAUmW2Xi/QvJ+W3SXtYZ+5z5
	FNYz9QjOCY4K6y/qiSxR1FsSLfpUfiVzBbZfxKnliFfJOdBdZsFshuNGljygVFitOECZ
	fefmTldDlRcVf5j+uI0Cnq5B0YdTc5xRMB6ogT5Sshn9wK8XF1lzHvxlhbfvEPGMWLjt
	i7pM6oKLFE8b0dQ962dEfePtZ0anTX962hbyvpWuTwUo3j+x2Qj22mBWOT6PCVqIWkkr
	s5DfxG7mDqBuIsIXJaSSncg9xG7hLrAXOXFC6n2p1NMCqlYyCcFfFI4t7QMj2cWG8YPH
	GWaJDjxH4IZ6MJjE80t00BPHswzGHGF4BsH3BXKRTlYPOYmpBbDhKO7hLZbaa+aayGef
	RSzSNmqm1oYJ3DR0xeuKhZos8P5drRHiUfqkqauDXhLQMQyLAuAWAhv9tsbhLNfDoe/b
	LS6OFBcPa5kTNOnwBz8EmOPgxpLhfLCXP8ZJOP18dPHZ6ArwXu5iWm+8DQhh+K4Hcfsg
	pcSu4Prx7CEZTD+uEiYoNjFd4kb5r8k55jXhkvia/JJCsUBYJLbI2xQdwmqxQ75asVHo
	UshpXTKeWYlWcczMVGMqnLrYElzCPoYfY3kZixkFYTheCf5pUa5gBLkaMBI4fo/IsOfk
	RHZOgfAepUVFMbeAEw/AkgYVvw8NDYwPQA08CRQhJQfYCPBlkE6pVHCbNOnwh+nqk8F3
	HvIwfjiYqINjr8CzHK3ICzJRJoeZfTio1rFwGFbCsKVH8SaAf5Nm3TkztynLnC6u05yX
	EpvWac4N5VB/zrJly+BgYyP5NoqlAuC88sbbv37no77opVMf/vZU9DcAaR8zeeAEM/7G
	28zogf8CQEE3G6ITJLuf+tJ/HfxJl2Gz+YCZEXgTX6Sr1tXrFgormZXCI/pd8BZil2Gn
	caepG3UbNdVokmG86ZKBreBe48gmbj/ajw9w3SYuJZUzG0xGsCUNSkWCQ1RTQ8FoA0Cp
	TJgM5h7lY0awF96NSzCIXs1V821AxpcdQJxnyTaDF4v6CzFAF9QZDMhoXKIzmcwcxlS4
	zeBGpNDQSIQYUMjNWYZBpHA+zxCBSEqxgB7yCkeOwSMBGYZxX/A9OLd8b+deXyApO02T
	l63hxqij7a+D84vNXhh9Ivr1y9EFfbz4gop3m8WnUthaEMUHKFbSL9YC32/9o58DMhn4
	biwdvkLLhi9/cuG4UYAqUJX0ZdgE+BiSfv9Fv06bBl+c3YlmoJmoHjXA+5bZ8CSVciw1
	y8P7DjSlYlb11LHp1S2LO1ra2+Y1SzWkYrithbAZAmyu8AUeoj50eOeB0PsQvoLwHTQn
	QjBDSIVQBKEaQj2EVgirIGyGsAtCN4QwhIsQ3ofwFYTvYLAiBDOEVAhFscEftI2G0hi5
	htGVw+jqYTQYm7c9P3kYXTOMrh1GTxlGTxtGU5Ru5W/eMHr+MFqax1vGs2BY+cJhdOsw
	um0YLX03fkt7PxlWfu8weukwevkw+r5htPRd+C3trxhW3jGMXjmMXk3p/wPemTGACmVu
	ZHN0cmVhbQplbmRvYmoKMzcgMCBvYmoKNzkxMAplbmRvYmoKMzggMCBvYmoKPDwgL1R5
	cGUgL0ZvbnREZXNjcmlwdG9yIC9Bc2NlbnQgNzcwIC9DYXBIZWlnaHQgNzE3IC9EZXNj
	ZW50IC0yMzAgL0ZsYWdzIDMyCi9Gb250QkJveCBbLTk1MSAtNDgxIDE0NDUgMTEyMl0g
	L0ZvbnROYW1lIC9QRFpIUUErSGVsdmV0aWNhIC9JdGFsaWNBbmdsZSAwCi9TdGVtViAw
	IC9NYXhXaWR0aCAxNTAwIC9YSGVpZ2h0IDYzNyAvRm9udEZpbGUyIDM2IDAgUiA+Pgpl
	bmRvYmoKMzkgMCBvYmoKWyAyNzggMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
	MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMAowIDAgNjY3IDAgMCA3
	MjIgMjc4IDAgMCA1NTYgODMzIDcyMiAwIDY2NyAwIDcyMiAwIDAgMCAwIDAgMCAwIDAg
	MCAwIDAgMCAwCjAgNTU2IDAgNTAwIDU1NiA1NTYgMjc4IDU1NiA1NTYgMjIyIDAgMCAw
	IDgzMyA1NTYgNTU2IDU1NiAwIDMzMyA1MDAgMjc4IDU1Ngo1MDAgNzIyIDAgNTAwIF0K
	ZW5kb2JqCjE0IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9TdWJ0eXBlIC9UcnVlVHlwZSAv
	QmFzZUZvbnQgL1BEWkhRQStIZWx2ZXRpY2EgL0ZvbnREZXNjcmlwdG9yCjM4IDAgUiAv
	V2lkdGhzIDM5IDAgUiAvRmlyc3RDaGFyIDMyIC9MYXN0Q2hhciAxMjEgL0VuY29kaW5n
	IC9NYWNSb21hbkVuY29kaW5nCj4+CmVuZG9iago0MCAwIG9iagooTWFjIE9TIFggMTAu
	Ni44IFF1YXJ0eiBQREZDb250ZXh0KQplbmRvYmoKNDEgMCBvYmoKKEQ6MjAxMjAyMDgw
	MDIyNDVaMDAnMDAnKQplbmRvYmoKMSAwIG9iago8PCAvUHJvZHVjZXIgNDAgMCBSIC9D
	cmVhdGlvbkRhdGUgNDEgMCBSIC9Nb2REYXRlIDQxIDAgUiA+PgplbmRvYmoKeHJlZgow
	IDQyCjAwMDAwMDAwMDAgNjU1MzUgZiAKMDAwMDA3MjAzMyAwMDAwMCBuIAowMDAwMDYy
	OTk5IDAwMDAwIG4gCjAwMDAwMDE2MjIgMDAwMDAgbiAKMDAwMDA2MjEzNyAwMDAwMCBu
	IAowMDAwMDAwMDIyIDAwMDAwIG4gCjAwMDAwMDE2MDIgMDAwMDAgbiAKMDAwMDAwMTc2
	MSAwMDAwMCBuIAowMDAwMDYxMjA0IDAwMDAwIG4gCjAwMDAwMDI1ODMgMDAwMDAgbiAK
	MDAwMDAxNTI1MSAwMDAwMCBuIAowMDAwMDAyMTIxIDAwMDAwIG4gCjAwMDAwMDI1NjMg
	MDAwMDAgbiAKMDAwMDA1NDE5MiAwMDAwMCBuIAowMDAwMDcxNzY0IDAwMDAwIG4gCjAw
	MDAwMDE5NjEgMDAwMDAgbiAKMDAwMDA2MjEwMCAwMDAwMCBuIAowMDAwMDYyMzAwIDAw
	MDAwIG4gCjAwMDAwNjAzMDcgMDAwMDAgbiAKMDAwMDA1MTM3NyAwMDAwMCBuIAowMDAw
	MDUzMzQzIDAwMDAwIG4gCjAwMDAwMTUyNzMgMDAwMDAgbiAKMDAwMDA1MTM1NSAwMDAw
	MCBuIAowMDAwMDUzMzY0IDAwMDAwIG4gCjAwMDAwNTQxNzIgMDAwMDAgbiAKMDAwMDA1
	NDIyOSAwMDAwMCBuIAowMDAwMDYwMjg2IDAwMDAwIG4gCjAwMDAwNjAzNDQgMDAwMDAg
	biAKMDAwMDA2MTE4NCAwMDAwMCBuIAowMDAwMDYxMjQwIDAwMDAwIG4gCjAwMDAwNjIw
	ODAgMDAwMDAgbiAKMDAwMDA2MjIyMCAwMDAwMCBuIAowMDAwMDYyOTc5IDAwMDAwIG4g
	CjAwMDAwNjMxNjUgMDAwMDAgbiAKMDAwMDA2MzA0NyAwMDAwMCBuIAowMDAwMDYzMTQz
	IDAwMDAwIG4gCjAwMDAwNjMyNjEgMDAwMDAgbiAKMDAwMDA3MTI2MiAwMDAwMCBuIAow
	MDAwMDcxMjgzIDAwMDAwIG4gCjAwMDAwNzE1MDggMDAwMDAgbiAKMDAwMDA3MTkzOSAw
	MDAwMCBuIAowMDAwMDcxOTkxIDAwMDAwIG4gCnRyYWlsZXIKPDwgL1NpemUgNDIgL1Jv
	b3QgMzEgMCBSIC9JbmZvIDEgMCBSIC9JRCBbIDwzMjZiY2NkNWVjYzYxMzNkMTVlYjZi
	NzIxMWUyMzUxND4KPDMyNmJjY2Q1ZWNjNjEzM2QxNWViNmI3MjExZTIzNTE0PiBdID4+
	CnN0YXJ0eHJlZgo3MjEwOAolJUVPRgoxIDAgb2JqCjw8L0F1dGhvciAoSGVucmlrIEVr
	ZXVzKS9DcmVhdGlvbkRhdGUgKEQ6MjAxMjAyMDIxNjI3MDBaKS9DcmVhdG9yIChPbW5p
	R3JhZmZsZSBQcm9mZXNzaW9uYWwgNS4yLjMpL01vZERhdGUgKEQ6MjAxMjAyMDgwMDIy
	MDBaKS9Qcm9kdWNlciA0MCAwIFIgL1RpdGxlIChUaGVUcmlhbmdsZSk+PgplbmRvYmoK
	eHJlZgoxIDEKMDAwMDA3MzEwNiAwMDAwMCBuIAp0cmFpbGVyCjw8L0lEIFs8MzI2YmNj
	ZDVlY2M2MTMzZDE1ZWI2YjcyMTFlMjM1MTQ+IDwzMjZiY2NkNWVjYzYxMzNkMTVlYjZi
	NzIxMWUyMzUxND5dIC9JbmZvIDEgMCBSIC9QcmV2IDcyMTA4IC9Sb290IDMxIDAgUiAv
	U2l6ZSA0Mj4+CnN0YXJ0eHJlZgo3MzI4NwolJUVPRgo=
	</data>
	<key>QuickLookThumbnail</key>
	<data>
	TU0AKgAAGqaAACBABuQVuCOECOBwuGQ2HQ+IRGJROKRWLReMRmNRuOR2PR+QSGJr+SOc
	LycMRsAysACiXSKYTGZTOaTWbTecRljzt4DifA+NtehAAU0Wc0ekUmlUumU2ITtjz2f0
	Gh0UUwJ+PQAPgAAitux1gB/hQMgAEu5xAB3AoPAANAh3gBptJyAAJiarhoGASGPx8XF4
	PQEgAKBSvPh6Vp+ASvAwEXyG1xxOJ5AAPB4LAB3uJzWYPBquxesgB1ux5gACWQABHIX2
	43O6g8OCXLBbDvSuAjHU7eb2mVCpDigRqhNeiUbNNgALJetQAPx8vUAAIJBEANdlskAP
	sPEgAHInwJHJNxgAhDJ9wR56dxPEOAAbBR+dMH5l/P1/10B/l/vZ2AAfIIAmABsmCbIA
	CWOwnAAZRQF8AAGAoByxQoA4GAaAANgsBQAHOdBzgAcx1H6AAYhkBgAGeaJ0AAeR5PSD
	QOguAB9HWboAHIBIaAANQkgKABLE27QOBEEkWnZEgWBA+ZkmUdQACeOw0AAEivN9K8sJ
	C4CfOEqjjKsgTEAAejGK2b8Dm+cRogAaB4hCAAjhwFC3Ak9JwHkCQAPecDSHy+Z1niA4
	AAKei4gZDUxnWrgKAwAaBRI7YBxQeJxRYDgaNodpsxADAPgrMZ3ng0hyriCgUPeBJ/vS
	fSBgEeZ3IIdD0gmBABK2f58gAfwCwwCIIApOj0nMyrnnGb4AHKe0fg4DbBnadT5hGGgW
	tW1ss2vbCLS2qbiKq5Fs3BcNxXHLJiXMdgJXTAaNJWAKWpfcl43led6JEgyDoTet9X3f
	l+pkPOAHWZuB2AjQ74O8whCFf2GYbh0sixiJ4FRijhoyV+MAAKGN4fjuPY+m+IixieKo
	3jBX41jkxm4ABkHIlIcSMzR8K8CK9oYfBzGmABgGZUQVh8FgAQwgQEAhH5wGwsIJAu61
	CLCbp0HuuwQhMAAOghMJ8L5FFYHUfEfrE/5sxuAAWBODtBq27cKIEwYEgK+Z8HdWB3gK
	wYIAGvgCgK9OhsyAh1Z2YBpLCFQeB0AAJHozpvn1CYQglrIGZvkHLI5kWSFRiyMZPlIo
	IEdRhgATBnLKIB9GJnh7xQepkF2AAFiaPYACuDRwxSeyygmeq6myY5hM0CLMgOEYagAF
	p9rqcp9Hsghy1gCwFgXGh7LqaZ8cSQYvLabpvrqcJyxAcZ2r4CIJRQCAGVsdRmTWlocM
	IbBSuuDYqAAHYO1seR4PSBICVWDXTc7UGB0hkjWSeAwCarBjDTHiWIeCxx0AJYWIcN7C
	0rOXg0RVzLFHNsmYyxt0CYUQjiVgBICxgx3D3MGhNqZZjrG7IgPQdSTwAAKR+PJZTik8
	lqHcfMBwBiBAEiI0UgQ8maAAAs5UvxWx+HziefMdw8j8mfQwPgfDUz0o/H4PJWA/ADIT
	ATEUezdIbgah6VxCEMiBl+LiOoeR8wJQ4RahCJTlYNx5InB1kpGnPQij1IGQUGxDSFHS
	N2RBmSNBfkYAAHsj5ByRkkw5e5CSFSTkxJmSclV8yaYbFEAAc5RO1CuFcAAOpUSeklJw
	hEqmGC1lg58AANJaAAFxLcAAD5dSujzKyS8vF5jomEAAH8xQADamQQxgAeQACCmcaiIs
	wGPS+mkuMfU10eBqDUAATs3SIP/MHLcXAAAfTlmqx2ak51wOeCpO1XQ/h/EUBjPMAAvJ
	7Q8h7Opfc6Z9G+HJP+ck5hv0DI4HKgwABE0Jmgtafq45+UNKUPmiQAAx0VAAKWjBIADU
	bAALSjwAAi0hogvGh9IyjinpQAALVKyagrpcAAX1MYlAWkVSZa9JabEzoGsecoPkcUAJ
	xNqbYkKiKDb5Tk31OKkEfiwVwLlTwACtqkUoAdVQAOeCbVmpZvKlVbIwP+sAABP1jopR
	YQIpRYgAB44sAAznCgAHYOwdLigCHlHOBBHYIQKoDASP09IAx7GdHO2AAA8x2TxBAAwa
	oABHCkO0MGyAAAM2Tq8UmrtlSKzIG1QGnw6bPAADzUUC4D0BgvBgC87Y3EbgNRmAAeAC
	yFAGG8NsAA6R6lhH6PwrwCwMHWH4O004+x7WLC2GkQ4AAw3JdIJgTAAKNxCswTWy90SH
	D3usAAK12aO0fIuEAMwcE9DHEgAAUjOyYrtAAKq9QAJ2v3uoTO6blhI3zABVkJoAARX5
	IoP2/gAKqqOIfWA/Il8CAADXgdfQH8FAAGFg0yxlyISgiJQwiYgMLAACVhk+ANgbTqvi
	w+iSuZnCCAAHzExZn/kQqaAAyZaQTYvIgNXGVnIfKwX7SsLQABPY7AAAfHxDCDAAAxkO
	NaKCJi9yQ7F6YAAb5NABeiXmH1+zwnjIhG4G8sQ3AUhwiY3svGEMKAAB2YyGD2zMAAKO
	aQAC6zYyAUebwAVPC4Qy6zU5/l1vyCK/1ViJzCRZgKyVlMokGktBoc+hyGWTLKRPMzzh
	36PQzlkhegBG6VAAHXTEGwNabAAMPT1+L9ELRcZVyiKABD+VYYsr2FCxVhv4iTCZWx8H
	zAQY+TehJOuWHrrvFBgwBa/IcVwbAzk+AgBknMA9YcoEDGfs0AAQdoAAHjtOQWaQogAF
	NtkrutWcDmGdR0aRAgkBEBchCaOKgADYGQMs1AJ3jgkAjBmQeUlyM52+MAbqwAkA9LaR
	MdQ1Bm7pHOZ0fgGAeHmBadYheuzpYZCVgzB0mhOcTAAGLi2TyWQkGwLutI2ADgyY0D42
	hEStDYGmiAviJAHAlTmbbeeuJWr9HwWkYAzTOqpRIBkGAOzLZGIWPwzYABmjQsWPoB9q
	AegyNAQvKgABCdPAAH/qUwKaGZwa8EE/WSGDvG2M8AA0RylaA4C8HKVDWER5np0YBzh5
	AIIUEcIAJzUR63otcrg0xhjINIP9CYKAbcgLeQ6Jo3xobsG+AIsvf0jc+IWMnxwAAh+R
	ABwydXDgACs8xr1EIzpxjGHOrYBc8AAArCKd4D28iG9AZ2JwSaDwYBkDOAAHHgYNd1Su
	4yxYzhrtTBIDcGBbo8FYUKh0cPXhTi1RYFwOWOQNYUPWaekIRQAeOO1TYSX1wABs+1xh
	dxfknjSGbZsBAJkdgqAr6gh4/B4DevSKEXV+Aqhg9l7SafMJfriM2cocA50bjJG6LKDQ
	C05AIe3so6GMdwA6Bm+kBuBC8YAA1eAAD9AkAAkKEMq8AjAwAAsgGCeQBaWoIW28FkAA
	FWGeK8CMCKeOBSA84U3QHMG2GsmOHGR+BoCEWpAcYY9sKWPmHGGdA4GGGwPSCACsO8+a
	8ELiGcGO68HyAMA2eQBm7k+CIE08dGCNCq1kjUsw8iCGOWFlBEy2y4IGM2ZYHuAaJShS
	1W1sIoZy06F0GYdiBoCMAA6U/QXpByKQH4HM70FgGkVyBWBYBmKIA5BuIGcYZ2GaG8RI
	BcBw9+7O620gYUYWGhEkveIcoSESAADpEyOm2BBAGmQeGAGyK0BkCG4eBREaIc28QeG6
	AKSMBYBCMyZtDoXnDsJuNGGwGYGURCAWBU4QJSIeG4GGFqAAGsHeniAYBCBu4QpqUev6
	0wDqAAEfGjEoIizGQmpiQeBnGyIYHEGc2+HeAIVWAMasBrFMIkPmHgHOT4GcGiLSBABw
	cSBEAhFkXFFoJmK0GGFYdgH2A0A+bMBk5A5c2CAAG+GY705sQmCoCdAGIcF3IaQQCWCW
	O2H2b9GmIkB5IulslwemeoIWHUG4Z2G8HgPmAWUOeQBRGW8EAAHGGedUGGG6XcCcCoB+
	jtFm/sN9I8OUHIHgVEAKAsaEBaA9EGIEHoGxBEEcFyRQDkgvJoIYriP+mLJmGtKlIqI2
	wsEAAAD7KzE2VshIGoGIeCHMH0LKB1BrKZAIHQPKGyHGLSAAAvF4BfBWXlHqI62EGc68
	GuGg68AGBgfvIVJQIENPE8GLIGHoK8BSB0fiBKMML6ieAADdMeAAwIEvKoI9C+AAyQF6
	9kJ8IcK084QeHgA2fjBrL+IcG4GQQeHOH+U+A+BGNoMxHmqTJsKRAKFoGMLqA6BOtQBe
	BbH7Ng82nGGwALEBBqU+Ieo8FollAhMoJABrOaABIadgl0c4M0HEZ2GiGyWOAGA6B6kd
	HKhmZZC6GgucAwIUB4B8Bi3MWzLmI8HwHWdwHmAbH6/OIicEQeGyAKaEB7JOIgz8kckg
	yDOWJoYODuAAELQMz2Uc6AM6GkGyRYHuHyUcBUB+tRBY/SHWsWFiF2OMBCB4O8BlKCWx
	PWIvHuFMFI8mBaCkAACQBbNIKwHUOUGiG+RYHWH+z0CQBw36IHImPSDPR6rErIWuv+XF
	OUKYx8UEnEAACBSU63NM06HEiFHfF4H4HSanH5QqxVReZ4GQLCBcCNO4/oKZREIoG4Fw
	FAnqH6WoC4CHEAjY5+NeGYsWHmAMNAB0Bkz0IeqkFaAACrT41aPyJpSEIu1q9Q0AvRUK
	4yIHUOXcInUVT8QAomInSIJkBdUoZ4GAGANXAyIbMCF9MGG+K09GCCO8BGaIIeHeHMZY
	GoGZBgAgBxDjRZN8JtTEIeHpTIm4GIR+CsCo54AzTbDClsE6FvAeA6NABGBgfjJO9QHH
	WWrVIwxaJBUCIdSM+4IhUGIxUMrCJg2WIE0aIZWwPyxCIhUkI4DfXKAA0qEbQRU2RuF2
	GOHKAABCBgw6BJIC/SK0GKFzBEHCAGw6C0CQZlTDNkJCHMHESepoRJQYPSBdLg7mIaGm
	FkFYQImwAuBgQWB6BJAcmuVYDBY4AApQFOI5WiaK240AIXMtZKIcnBUdW3UcIXW/Wo0n
	WyIHZeIfXDUaIXW7ZYxWIfXGIeb4R/OOABCrDiIaLiF8FAFSOmBmcSAwLuJbTAIYHoHE
	OUG2Q8NIAAIUCMBubSstYEJAH0HkT4GSGM/YA+CAYW9OIi12HargHEK0A2BTH61YzeFG
	AAC9buIpZEIZWs0BZVZfWtZoIHWswC2VUQIFZuJvZ2IdZtZka0K5UbcVGYUgIcJcTnCm
	zAYK62ZaFtMyHEAEz0CcCQ5BN8HYGvUwFYF0P+CUDOfvbSJzTE0Ap2T0A4PeueIhXCHD
	dy1Az01iIWHBd+lOlS0ORAIXb1cHZSxS0BeOIbWnZZeU25cCIbeiJzXDAIixWo0BcZT+
	IGzrWpcjAev6IXR69iEpfKoXaiHMOUGkHUUEBqBeBAUHcNduomMSK0Anfvdfa8I2hqSf
	R20jCay6y/fuQHOkIZXCCzgQquYzeKz5cFZIrDZUIXZVefHnb5caIZWnZiPzedcKXdWn
	UbeqIAAIFA4JBYNAnzCYPCIU/4cAADEQBCXyAIc/4hEnxG4tD42+I7GIpBYuAFfJwATp
	VCwA6ZcAH9MQAGZpLII/ZwAG9OwAHJ8AATQZtQ6I3KM3BHSRHRIW96cAHJUQAIqoAAHV
	5Y1K0AAdXQAHrBLE5YwAZbNVqxBAPa4yAQACLhBaCCZDb7jarZC7WB5YBr9bbrEbdJcF
	Bb8BqZBH1i5ZJYJhZHC8jB8nBo/gKc98A9s5BZGH9AAGJo5nNYJJWtqQA9dYABtr6Y9N
	kAHRtQAJNxid1BKPSKVu4I3eEAAtxQADeRLHfywAYOdJpQAulBWz1QAPewAHd27sCILc
	O9BPBgL3BfLeL5JIEBgPiMLJfPwPXf6J74fi31NoxArdnoU+yMMghSCMqwDLpLArLsug
	jMgAL0HgATUJAAAsKoKa8MAARUNgAT8POAnB+rQAb5N03qlKXErLvGojWHqAB5xiAAMR
	ogrLinHAAFxHagKEkq5u6wDDvIvKBvi+b3Ik+EioNIaFwAAEhygx8lIfKD8MAh6Bv2gc
	sKJLyBwLMUBzDMiBQagkFI4U02AAK03pIh54zmAAITtEs8PlE7fzzPqFpKSlAgAOFCSD
	IDCvHI4AUVRi2SW9KDycg9FMdSdHS0gcp0zKsuIFMD+IlAkzJZT4ASwktSzGitRVWgcG
	sumgMgAXtaK+sM/VxPM9qTXNegArRqAAI1hgAeVjSDFiB2SgTy0VKSJUlZlL07RdpsM+
	lNsGh9ooLTVQW1akBVam1xSy+7GXKxTGVQxlWP8irLsLBsGileoAE7fEo2xX1+IPXcU3
	64F6XsYWCx6ukgJLRMmWrSEkYba7EIJbjCwqAtzIxbiFyGwlQy3K2PMSfeRrrL90U5U1
	2y7lVPZZlL83ZmFzvzeKNI4kcQgASWdgALmfYDoDeKPFGgqIkpG6QAA/6Xg9kLvZS424
	8tH4ggmLMBq8oY0getoNq8qP7j8A5QwrT0wgWRn2plSoJtN3sAkd0zKitUoVBKOMuCm9
	AAW++gAEPAaLfl/8Emxn8OAAkcUAGcvHZeIamh9m4ZyOMr/iiJa/rl9oLzSbWfcGi7dS
	qDSxsuVvzdXUoH0eZ7ghVToeke6oqkbOHsAAj91DsP0VwrgcJ36B9uAAl+MABpeTpvH8
	mvlnL/yt9SSt2s8zC2J85jmz+kvvOY70ModOgXvrrtyifN1CWdajB9n1tSMIxLH15f+l
	3VUiaFRcABGf4AAxP/eEnh4LgiYj+AAIeBAABHwLSCeUwrzXuGFSGtxIb0YKOcayRBCg
	BmLsbL+6R7if2QNhP1CNUjJ3QttZJCp98JlSpYhfCh/DdGXOzMY3ckBIzxi1h4AAE8P4
	AomaGnxwQyYjAARwFM77TyBAIAOd49hiHQPcPK9V6iFoLsSIHFZCiFmKoWfI55iLJU/P
	ijI2iFZQ35voIM25uJEo2P0QLDBlyWCRv3MuDePQABSx9SDEElkA1+oxHmSklY2pENNP
	QxCKcFS2Rigm9kv8kIMReetB1SMH3txibBGdjC3WUSdfnCx8rJDCqljXGllp+XTESjs7
	CGssD8v3QaHuWwAA0y5MBIBoRRmiK+gKAAQMwwAFjE4YBhbzi2SNcvM16cXWLxVeu5uL
	RAmrrcAJNlrE02vSWdCtx8jZmxwkk8t4ADbkoD8nVKVtUpCSzqH4XV+Uqn6SoZJG8t0d
	5ZQzbfNkAgABWUBAACygkvJem+V4r5gowk3Jwn9A0tkEHsGImkxctz1IOPcizNCMclDE
	ElnAtuTS1HtTjnK2RkJwJRkDnhOwgsrS3UwnrDKOjq5V0zlZLGGks27EKQaa8GwAE2Cm
	kVEGQSeDljvAAEypgABw1PohMovjVDyyRmfNeZznYsVZItNajLVkLRijEYWh8X5MJ9av
	TKcUu30xmfnS11SmZzvtfq6xkk9m1V4n5TWl8N6erwI4g0OlgwABxsNWxwVRzdM5lsHs
	AAo7ITILjBCqtWYLPQkfNyjiQ6PUcomQWh9JZtsXpBSOxEnrRGFfm+GODJHyUyr1Kcxk
	cUsUtJK26vkqW1Q2p5Ttt6BRVXBAADK4jwrFGJF3ckAAW7mPcmTIyzDDmINXorCGLdWz
	ERcavVij9IruuWmrRy0t4YxThIHWWlDoa4EHnfOshdb73PptsQ9t0cbcR1tnXe/MLX43
	7r3X52tfwAGXBdgUAAq8EAAAXgtotxyWDswgAAJOEwADmws02CFVJl1ZqtRyCUk7sWeu
	uxe0V3LQTaovBu0l3sTz/tYW6ssGn4SgdDHEhd63xkPvmRiltsGXY9Zdfc/N9Z6V8nnb
	tUcr7fEjMug0NmTwAB4ykAA6QAl+4OJuTkN+WwACoy80471lMNxSujh5aGIGL4mmxNrD
	t46OXoivWfERAqHsTAKxI/sILRH1g0+4/MZq4yitdjqdd9mSXwnjXrIT9LaGMyPf+nNv
	Z+LuZyKfSwAAcaZyvEOhJNhaafOac9hZ3i4VSiowyRxfM1Zoo1aazmIc6zUABnDN+KCJ
	axYeQTXBLGrpapSfptA/J2kHxw/S2Wf5XY/nXTLReRNhxobVG4hWi646Pt5PyfRFUGm4
	BIADT4tDjnJVxg42o6AABC3QAAde62IXPghh26uHYOZ4mtiG7eISS4m17iyh8XNd1is0
	QvWla5zbFlIQTHYANi21vjTfhLbsgZDv1simOjr/W5nvPtLDNZ84CeIGPkEwpiZVV1px
	gHCp1y5DSAAV3LXl2TzGkHDtn95VZxNNnElX9ZWh1ZrTe+crQ53q6RiMXA7zzaVxseT+
	xY48Jpboiue0dD6Dx5svi/V+KT80Xkbi2kts4DI5sKeIqRVCpAAD/tHJZfREABcEVQAA
	w9xaakDMWpt4WZmj3izerKzPcavv3EOus2F/54xI/YBACz/rBmmzW+1qScT9jalnDeok
	F2cYDRfSun8T8rwjq3Eq89d8rtbab7iJj6yXgKHAAAO+tb435OwEHgcmHH7Xc+6akqLB
	+HBDocQdgAG+L8YxMAFgNUWCIDZEB0jlO0N0bBbwcBJRmOsbYAB2gHAm4wA4DEZj83MN
	ob45vgDmHb36sP5/Gc5vIhbwus/B3fo5wBi+/4wH7VC18/eM8Xye4NXbZ7hQfaeLGalr
	h5kjiLlCeKuLzbqT0LSLzr/z0b0TIwEwKLKIIKf4Yoar8oCoBKAwcweaAwC4BQcb4Af4
	E4iwYoQAiwEALx/Z/oq5Egooo4sADwEYLsG4AAWUHQAABUHr3T3gQAHTcwdQE4NAAALI
	DypQZ4dCAwDAA6fIewdjhQBoCThQeAeJRYBIBQAAeIeAdzKgBQD4qYAIZQAATYWr6rV7
	OUNT+L9D9znLFa8D9yf7n4ur+SrToDpAg6czG6daEDYsBbyzqb/8A8QLHz0EBDRkQanE
	CMRCO4DYGoAAMYKQIQnoAhtRER3AcAdIjAGgFRi75gDhUwWgPy5YRYXrA7BJ3QI4pg3o
	YsV4EbuIMJIMHsLY8rdyiLmJIYCIDgCLhQeKeMOoB4EwGYAADYeobI2ge67LWCbUOrm7
	WzGD98OcajEsNzwTxTEcPAwK9Kk4tzyQgTpzQqekQscZtTpTiEc0RsRLR6vUdq/za5LA
	CoCo7wnYdbbAhTJop4DcfhWZWseYColiIwZIbwlQJwELCEKRxwuL2JyEXIvjmqijvUiL
	Wqf8NjvsZ79kabv8ZzxsN0GB7jfMj0PMbJPq1TqjzEAzyjy6UkQMdKeLQ0BsdgxkA7Zr
	zjrb0TaS3wy7JSfheYp5nwLgAAS0ohEYgoXMpAcIC8pYDzQA3Up0kzX5oEqCg0PcqRPq
	EEqoxp7ZoMrJP0rwxJnIEEsYAACMswgrLErUtUtctktst0t4+QgIAA8BAAADAAAAAQBc
	AAABAQADAAAAAQBUAAABAgADAAAABAAAG2ABAwADAAAAAQAFAAABBgADAAAAAQACAAAB
	EQAEAAAAAQAAAAgBEgADAAAAAQABAAABFQADAAAAAQAEAAABFgADAAAAAQBUAAABFwAE
	AAAAAQAAGp4BHAADAAAAAQABAAABPQADAAAAAQACAAABUgADAAAAAQABAAABUwADAAAA
	BAAAG2iHcwAHAAAZ7AAAG3AAAAAAAAgACAAIAAgAAQABAAEAAQAAGexhcHBsAhAAAG1u
	dHJSR0IgWFlaIAfcAAEAAQAUACYAKmFjc3BBUFBMAAAAAAAAAAAAAAAAAAAAAAAAAAAA
	AAAAAAD21gABAAAAANMtYXBwbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
	AAAAAAAAAAAAAAAAAAAAEWRlc2MAAAFQAAAAYmRzY20AAAG0AAACQmNwcnQAAAP4AAAA
	0Hd0cHQAAATIAAAAFHJYWVoAAATcAAAAFGdYWVoAAATwAAAAFGJYWVoAAAUEAAAAFHJU
	UkMAAAUYAAAIDGFhcmcAAA0kAAAAIHZjZ3QAAA1EAAAGEm5kaW4AABNYAAAGPmNoYWQA
	ABmYAAAALG1tb2QAABnEAAAAKGJUUkMAAAUYAAAIDGdUUkMAAAUYAAAIDGFhYmcAAA0k
	AAAAIGFhZ2cAAA0kAAAAIGRlc2MAAAAAAAAACERpc3BsYXkAAAAAAAAAAAAAAAAAAAAA
	AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
	AAAAAAAAAAAAAAAAAABtbHVjAAAAAAAAABIAAAAMbmxOTAAAABYAAADoZGFESwAAABwA
	AAD+cGxQTAAAABIAAAEaZW5VUwAAABIAAAEsbmJOTwAAABIAAAE+ZnJGUgAAABYAAAFQ
	cHRCUgAAABgAAAFmcHRQVAAAABYAAAF+emhDTgAAAAwAAAGUZXNFUwAAABIAAAGgamFK
	UAAAAA4AAAGycnVSVQAAACQAAAHAc3ZTRQAAABAAAAHkemhUVwAAAA4AAAH0ZGVERQAA
	ABAAAAICZmlGSQAAABAAAAISaXRJVAAAABQAAAIia29LUgAAAAwAAAI2AEsAbABlAHUA
	cgBlAG4ALQBMAEMARABMAEMARAAtAGYAYQByAHYAZQBzAGsA5gByAG0ASwBvAGwAbwBy
	ACAATABDAEQAQwBvAGwAbwByACAATABDAEQARgBhAHIAZwBlAC0ATABDAEQATABDAEQA
	IABjAG8AdQBsAGUAdQByAEwAQwBEACAAQwBvAGwAbwByAGkAZABvAEwAQwBEACAAYQAg
	AEMAbwByAGUAc19pgnIAIABMAEMARABMAEMARAAgAGMAbwBsAG8AcjCrMOkw/AAgAEwA
	QwBEBCYEMgQ1BEIEPQQ+BDkAIAQWBBoALQQ0BDgEQQQ/BDsENQQ5AEYA5AByAGcALQBM
	AEMARF9pgnJtsmZ2mG95OlZoAEYAYQByAGIALQBMAEMARABWAOQAcgBpAC0ATABDAEQA
	TABDAEQAIABjAG8AbABvAHIAac7st+wAIABMAEMARAAAdGV4dAAAAABDb3B5cmlnaHQg
	QXBwbGUsIEluYy4sIDIwMTIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
	AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
	AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
	AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAADzUgAB
	AAAAARbPWFlaIAAAAAAAAGp7AAA3HwAAAcNYWVogAAAAAAAAZdYAALrdAAAIClhZWiAA
	AAAAAAAmhQAADgQAAMlgY3VydgAAAAAAAAQAAAAABQAKAA8AFAAZAB4AIwAoAC0AMgA2
	ADsAQABFAEoATwBUAFkAXgBjAGgAbQByAHcAfACBAIYAiwCQAJUAmgCfAKMAqACtALIA
	twC8AMEAxgDLANAA1QDbAOAA5QDrAPAA9gD7AQEBBwENARMBGQEfASUBKwEyATgBPgFF
	AUwBUgFZAWABZwFuAXUBfAGDAYsBkgGaAaEBqQGxAbkBwQHJAdEB2QHhAekB8gH6AgMC
	DAIUAh0CJgIvAjgCQQJLAlQCXQJnAnECegKEAo4CmAKiAqwCtgLBAssC1QLgAusC9QMA
	AwsDFgMhAy0DOANDA08DWgNmA3IDfgOKA5YDogOuA7oDxwPTA+AD7AP5BAYEEwQgBC0E
	OwRIBFUEYwRxBH4EjASaBKgEtgTEBNME4QTwBP4FDQUcBSsFOgVJBVgFZwV3BYYFlgWm
	BbUFxQXVBeUF9gYGBhYGJwY3BkgGWQZqBnsGjAadBq8GwAbRBuMG9QcHBxkHKwc9B08H
	YQd0B4YHmQesB78H0gflB/gICwgfCDIIRghaCG4IggiWCKoIvgjSCOcI+wkQCSUJOglP
	CWQJeQmPCaQJugnPCeUJ+woRCicKPQpUCmoKgQqYCq4KxQrcCvMLCwsiCzkLUQtpC4AL
	mAuwC8gL4Qv5DBIMKgxDDFwMdQyODKcMwAzZDPMNDQ0mDUANWg10DY4NqQ3DDd4N+A4T
	Di4OSQ5kDn8Omw62DtIO7g8JDyUPQQ9eD3oPlg+zD88P7BAJECYQQxBhEH4QmxC5ENcQ
	9RETETERTxFtEYwRqhHJEegSBxImEkUSZBKEEqMSwxLjEwMTIxNDE2MTgxOkE8UT5RQG
	FCcUSRRqFIsUrRTOFPAVEhU0FVYVeBWbFb0V4BYDFiYWSRZsFo8WshbWFvoXHRdBF2UX
	iReuF9IX9xgbGEAYZRiKGK8Y1Rj6GSAZRRlrGZEZtxndGgQaKhpRGncanhrFGuwbFBs7
	G2MbihuyG9ocAhwqHFIcexyjHMwc9R0eHUcdcB2ZHcMd7B4WHkAeah6UHr4e6R8THz4f
	aR+UH78f6iAVIEEgbCCYIMQg8CEcIUghdSGhIc4h+yInIlUigiKvIt0jCiM4I2YjlCPC
	I/AkHyRNJHwkqyTaJQklOCVoJZclxyX3JicmVyaHJrcm6CcYJ0kneierJ9woDSg/KHEo
	oijUKQYpOClrKZ0p0CoCKjUqaCqbKs8rAis2K2krnSvRLAUsOSxuLKIs1y0MLUEtdi2r
	LeEuFi5MLoIuty7uLyQvWi+RL8cv/jA1MGwwpDDbMRIxSjGCMbox8jIqMmMymzLUMw0z
	RjN/M7gz8TQrNGU0njTYNRM1TTWHNcI1/TY3NnI2rjbpNyQ3YDecN9c4FDhQOIw4yDkF
	OUI5fzm8Ofk6Njp0OrI67zstO2s7qjvoPCc8ZTykPOM9Ij1hPaE94D4gPmA+oD7gPyE/
	YT+iP+JAI0BkQKZA50EpQWpBrEHuQjBCckK1QvdDOkN9Q8BEA0RHRIpEzkUSRVVFmkXe
	RiJGZ0arRvBHNUd7R8BIBUhLSJFI10kdSWNJqUnwSjdKfUrESwxLU0uaS+JMKkxyTLpN
	Ak1KTZNN3E4lTm5Ot08AT0lPk0/dUCdQcVC7UQZRUFGbUeZSMVJ8UsdTE1NfU6pT9lRC
	VI9U21UoVXVVwlYPVlxWqVb3V0RXklfgWC9YfVjLWRpZaVm4WgdaVlqmWvVbRVuVW+Vc
	NVyGXNZdJ114XcleGl5sXr1fD19hX7NgBWBXYKpg/GFPYaJh9WJJYpxi8GNDY5dj62RA
	ZJRk6WU9ZZJl52Y9ZpJm6Gc9Z5Nn6Wg/aJZo7GlDaZpp8WpIap9q92tPa6dr/2xXbK9t
	CG1gbbluEm5rbsRvHm94b9FwK3CGcOBxOnGVcfByS3KmcwFzXXO4dBR0cHTMdSh1hXXh
	dj52m3b4d1Z3s3gReG54zHkqeYl553pGeqV7BHtje8J8IXyBfOF9QX2hfgF+Yn7CfyN/
	hH/lgEeAqIEKgWuBzYIwgpKC9INXg7qEHYSAhOOFR4Wrhg6GcobXhzuHn4gEiGmIzokz
	iZmJ/opkisqLMIuWi/yMY4zKjTGNmI3/jmaOzo82j56QBpBukNaRP5GokhGSepLjk02T
	tpQglIqU9JVflcmWNJaflwqXdZfgmEyYuJkkmZCZ/JpomtWbQpuvnByciZz3nWSd0p5A
	nq6fHZ+Ln/qgaaDYoUehtqImopajBqN2o+akVqTHpTilqaYapoum/adup+CoUqjEqTep
	qaocqo+rAqt1q+msXKzQrUStuK4trqGvFq+LsACwdbDqsWCx1rJLssKzOLOutCW0nLUT
	tYq2AbZ5tvC3aLfguFm40blKucK6O7q1uy67p7whvJu9Fb2Pvgq+hL7/v3q/9cBwwOzB
	Z8Hjwl/C28NYw9TEUcTOxUvFyMZGxsPHQce/yD3IvMk6ybnKOMq3yzbLtsw1zLXNNc21
	zjbOts83z7jQOdC60TzRvtI/0sHTRNPG1EnUy9VO1dHWVdbY11zX4Nhk2OjZbNnx2nba
	+9uA3AXcit0Q3ZbeHN6i3ynfr+A24L3hROHM4lPi2+Nj4+vkc+T85YTmDeaW5x/nqegy
	6LzpRunQ6lvq5etw6/vshu0R7ZzuKO6070DvzPBY8OXxcvH/8ozzGfOn9DT0wvVQ9d72
	bfb794r4Gfio+Tj5x/pX+uf7d/wH/Jj9Kf26/kv+3P9t//9wYXJhAAAAAAADAAAAAmZm
	AADypwAADVkAABPQAAAKDnZjZ3QAAAAAAAAAAAADAQAAAgAAAAMADQAgADwAYgCTAM4B
	EgFYAagCAgJtAuMDZQPyBIsFMAXgBp0HaghECSYKDgsCDAMNEQ4rD0kQchGhEt0UHhVi
	FrIYBBlgGsAcHx2JHvEgXSHLIzokpSYUJ4Ao5ypOK68tDi5jL7Mw+zI7M3M0nzXENuE3
	+TkMOho7Kjw4PUQ+Tj9aQGhBdkKGQ5ZEqEW6RspH2kjoSfdLBEwQTRxOJ08xUDpRQlJJ
	U05UUlVVVldXWFhZWVpaWltaXFpdWl5YX1ZgUmFNYkZjPmQ1ZSpmH2cTaAdo+2nuauFr
	1GzHbbluq2+dcI1xeXJhc0F0GXTudcF2l3dveEp5I3n9etd7r3yIfWB+N38Of+WAu4GS
	gmiDPYQThOiFvoaTh2iIPIkWif2LBIw+ja2POJCykf2TH5QrlS6WMJcxmDOZNJo1mzWc
	Np06nkafZaCYodijFaRBpV2mbqd6qIapkaqbq6Wsr625rsOv0rDtsiGzcLTQtim3bLiY
	uba6z7vnvP6+Fr8xwFbBksLoxEjFm8bNx+HI8MoGyyXMR81kznPPbNBV0TfSHtMK0/nU
	49XN1r/Xuti82b/awdu+3K/dkd5s30LgGeDy4dDiueOo5JvlkOaF53nobelg6k3rM+wS
	7Ovtxu6k74bwavFO8jTzIvQp9V32vvgw+ZT63/wZ/Vj+pP//AAAAAgALABsAMgBSAHoA
	rADmAScBbwHAAhsCggLyA3AD+ASIBSEFxQZ0By4H8wjCCZ0KfQtkDFgNUw5YD2IQdRGL
	EqgT0BT4FicXXRiTGc8bDRxMHYweziANIVEikSPQJQsmRSd2KKYp0Sr0LBAtKC40Lzkw
	OTEzMikzHjQQNQE19DblN9c4yDm5Oqk7mjyLPXs+aj9bQE5BQkI3Qy5EJEUaRhBHBkf7
	SPBJ5UrYS8xMvk2wTqJPk1CEUXNSYVNQVD5VK1YYVwVX8VjcWchas1ufXIldc15dX0Vg
	LGETYfhi3WPBZKRliGZrZ01oL2kRafNq1Wu2bJhteW5YbzZwEnDpcb9yk3NkdDV1BXXW
	dqV3dXhFeRR543qye4B8Tn0cfep+un+NgGqBUoJEgz2EOoU2hjCHK4gliR+KGYsSjAuN
	BI39jvaP8ZDykfmTB5QYlSiWN5dEmFCZW5pnm3KcfZ2HnpKfnKCnobii0qP5pSmmXKeL
	qLWp2qr+rCGtRa5or42wt7HuszW0hbXRtw24Pblpupm7y7z/vjW/bMCkwdzDEcRAxWnG
	i8eqyMjJ6csNzDPNWs6Cz6zQ19IG0zTUX9WE1qTXxNjm2grbL9xU3Xnent/H4PfiMeNy
	5LPl8ucs6Gfpo+rf7BvtWO6c7/DxdvMt9RL3CvkC+uv8u/5p//8AAAACAAoAFwAsAEgA
	awCXAMoBBgFHAZEB4wI9AqEDDQOFBAcEkgUmBcAGZAcSB8kIiAlOCh8K+QvUDLgNpQ6Z
	D5IQjxGSEpoTpRS2FcgW3hf5GRIaLRtGHGEdfB6XH64gwiHUIuUj7STyJfAm6CfYKMIp
	pSqDK1osLy0BLdIupC93MEoxIDH3Ms4zpjR+NVU2LDcCN9g4rTmCOlY7Kjv9PNA9oz53
	P0pAH0D1QcxCpUN+RFZFLkYFRtxHtEiKSWBKNksLS+BMtU2JTl1PMVAFUNlRrFKAU1NU
	JVT2VchWmldrWDtZC1nbWqtbelxIXRZd5F6xX39gS2EXYeNirmN6ZEZlEWXbZqZncWg7
	aQRpzmqXa2BsKWzxbbhugG9GcAlwzHGMckpzCHPFdIJ1PnX7drd3c3gueOl5pHpfexp7
	1HyOfUh+An6+f36ASIEdgfuC4IPIhLGFm4aEh22IVok+iiaLDYv1jNyNw46qj5SQgZF3
	knKTcJRxlXGWcZdxmHCZbpppm2CcU51KnkyfXaB5oZ2ixaPupRWmN6dMqFKpUapbq3us
	tK37r0ewk7Hfsyu0drXBtwu4U7mYutu8Ib1svr3AE8FqwsPEG8V0xs7IJsl9ytTMKs2C
	zuPQVtHW02PU9daI2BrZrdtA3NbegOBN4lPkkOb36ZTsxfFU99n//wAAbmRpbgAAAAAA
	AAY2AAClRgAAVpQAAFM5AACljgAAJagAAA08AABQDQAAVDkAAhmZAAG9cAABXCgAAwEA
	AAIAAAAeAEEAYgCDAKQAxQDmAQYBJwFJAWsBjQGvAdEB9AIXAjsCXwKDAqgCzgLzAxoD
	QQNoA5ADuAPiBAsENgRhBI0EuQTnBRUFRQV1BaYF2AYMBkEGdwauBugHIgdfB54H3ggi
	CGgIsAj9CUwJoAn2ClAKrQsNC24L0gw4DKENCw12DeMOUQ7BDzIPpBAZEJARCRGFEgIS
	ghMFE4kUEBSZFSUVsxZEFtgXbxgIGKQZQxnkGocbLRvVHH8dLB3cHo4fRB/9ILoheiI+
	IwUjzyScJWsmPScSJ+ooxCmiKoIrZSxMLTkuLi8vMD4xVTJsM4M0mjW1NtM39jkdOkc7
	djypPd8/GUBXQZlC30QoRXVGxkgaSWdKlUuXTHZNQE3/TsFPjFBqUWlShFOwVORWGldT
	WI5ZzFsNXFFdll7YYA9hM2JHY1VkZGV/Zqtn6GkxaoFr020oboBv2nE3cpZz+HVXdqx3
	7XkXejB7QnxZfX9+uYAJgWiCzYQ2haKHD4h+ieeLQYyEjbWO4JAOkU6SsJQ0lcWXTpjN
	mkibxp1RnvigyKK+pLKml6h6qmmsW65BsBWx4bOttX+3Xrlau3y9t7/5wjnEbcaKyJnK
	pMyvzr7Q0dLn1QjXPdmN2/TeWuC14wvlYee66gjsJ+4A753xHvKY9Bz1tvdt+TX6/Py2
	/l///wAAACQASwBxAJYAvADiAQgBLgFUAXoBogHJAfECGQJCAmsClQLAAusDFgNDA3AD
	nQPMA/sEKwRcBI4EwQT1BSoFYQWYBdEGCwZHBoUGxAcGB0oHjwfYCCQIcwjFCRwJdwnW
	CjkKoAsKC3cL5wxYDM0NQw28DjgOtg82D7kQPxDGEU8R2RJlEvITghQUFKgVPxXZFnUX
	FBe2GFoZAhmsGlkbCRu8HHMdLB3oHqcfaSAuIPYhwSKPI18kMyUKJeQmwiekKIkpcypg
	K1EsRS08LjcvNTA2MToyQjNNNFs1bjaGN6Y4zzn+OzQ8bz2uPvJAOUGEQtNEJ0V/RttI
	O0mdSv1MUE2TTspP/FEuUmRTnlTaVhpXXFihWepbNVyDXdNfJWBzYbxi/mQ9ZX1mwWgJ
	aVZqpWv3bUxuo2/8cVlyuHQZdXx22ngweXt6vXv6fTp+gX/OgSKCeYPThTCGjofuiU6K
	qov7jUCOfI+1kPWSRJOilQmWcpfYmT6ao5wInW+e1qA9oaajFKSJpganjqkeqrSsTa3j
	r3ixC7KftDS1yrdguPW6iLwcvbW/V8ECwrXEacYcx87JgMs0zOrOo9Bb0hHTv9Vj1wDY
	m9o5293dh98y4N/ijOQ75eznnulO6vXsiO3570nwhfGx8s7z6PT/9hj3M/hU+Xz6qvvq
	/Tj+lf//AAAAKQBUAH8AqQDTAP4BKQFUAYABrAHYAgYCNAJiApECwQLyAyMDVgOJA70D
	8wQpBGAEmQTTBQ8FTAWLBcsGDQZSBpkG4gctB30HzwgmCIEI4QlHCbIKJAqbCxYLlQwW
	DJoNHw2mDjAOvA9MD98QdREPEawSTRLxE5kURBTyFaMWVhcLF8EYehk2GfYauRt/HEkd
	Fx3oHr0flSByIVEiNCMaJAQk8iXjJtkn0ijPKdAq1SveLOst/C8SMCwxSjJsM5M0vjXt
	NyA4VzmSOtI8FT1dPqo/+0FQQqpECUVtRtdISknGS0xM2E5pUABRm1M8VOJWjlg/WfVb
	sV1yXzZg8mKbZCtlrWcqaKZqJmupbS9uuXBHcdhzbXUGdqJ4QXnfe3h9Bn6OgBSBmYMi
	hK2GO4fNiWOLAYyrjlyQBpGbkx6UlZYHl3eY55pam9OdWJ70oKmiZaQHpYqm9qhYqbWr
	FKx0rdavObCesgWzbrTZtke3ubkwuqq8JL2bvw7AfcHqw1fExMYyx6HJEsqEy/fNbM7k
	0F3R2dNX1NfWVNfJ2TLaktvr3T7ejt/d4S3ifuPQ5SPmeOfN6SPqduvA7P7uMe9K8Fnx
	WfJO8zz0I/UH9eL2uveA+D348PmB+hL6oPsJ+3H72fxC/Jn86P03/YX91P4j/mn+rf7w
	/zT/eP+7//8AAHNmMzIAAAAAAAEMQgAABd7///MmAAAHkgAA/ZH///ui///9owAAA9wA
	AMBsbW1vZAAAAAAAAAYQAACcnwAAAADFlC0AAAAAAAAAAAAAAAAAAAAAAA==
	</data>
	<key>ReadOnly</key>
	<string>NO</string>
	<key>RowAlign</key>
	<integer>1</integer>
	<key>RowSpacing</key>
	<real>36</real>
	<key>SheetTitle</key>
	<string>Canvas 1</string>
	<key>SmartAlignmentGuidesActive</key>
	<string>YES</string>
	<key>SmartDistanceGuidesActive</key>
	<string>YES</string>
	<key>UniqueID</key>
	<integer>1</integer>
	<key>UseEntirePage</key>
	<false/>
	<key>VPages</key>
	<integer>1</integer>
	<key>VerticalGuides</key>
	<array>
		<real>-19</real>
	</array>
	<key>WindowInfo</key>
	<dict>
		<key>CurrentSheet</key>
		<integer>0</integer>
		<key>ExpandedCanvases</key>
		<array>
			<dict>
				<key>name</key>
				<string>Canvas 1</string>
			</dict>
		</array>
		<key>Frame</key>
		<string>{{313, 66}, {800, 712}}</string>
		<key>ListView</key>
		<true/>
		<key>OutlineWidth</key>
		<integer>142</integer>
		<key>RightSidebar</key>
		<false/>
		<key>ShowRuler</key>
		<true/>
		<key>Sidebar</key>
		<true/>
		<key>SidebarWidth</key>
		<integer>120</integer>
		<key>VisibleRegion</key>
		<string>{{-45, 67}, {651, 558}}</string>
		<key>Zoom</key>
		<real>1</real>
		<key>ZoomValues</key>
		<array>
			<array>
				<string>Canvas 1</string>
				<real>1</real>
				<real>1</real>
			</array>
		</array>
	</dict>
	<key>saveQuickLookFiles</key>
	<string>YES</string>
</dict>
</plist>