gp-tv-process.graffle - Android社区 - https://www.androidos.net.cn/

<?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.OmniGraffle6</string>
		<string>156.11.0.206384</string>
	</array>
	<key>AutoAdjust</key>
	<true/>
	<key>BackgroundGraphic</key>
	<dict>
		<key>Bounds</key>
		<string>{{0, 0}, {576, 734}}</string>
		<key>Class</key>
		<string>SolidGraphic</string>
		<key>ID</key>
		<integer>2</integer>
		<key>Style</key>
		<dict>
			<key>stroke</key>
			<dict>
				<key>Draws</key>
				<string>NO</string>
			</dict>
		</dict>
	</dict>
	<key>BaseZoom</key>
	<integer>0</integer>
	<key>CanvasOrigin</key>
	<string>{0, 0}</string>
	<key>ColumnAlign</key>
	<integer>1</integer>
	<key>ColumnSpacing</key>
	<real>36</real>
	<key>CreationDate</key>
	<string>2014-11-01 20:41:29 +0000</string>
	<key>Creator</key>
	<string>Dirk Dougherty</string>
	<key>DisplayScale</key>
	<string>1 in = 1 in</string>
	<key>FileType</key>
	<string>flat</string>
	<key>GraphDocumentVersion</key>
	<integer>11</integer>
	<key>GraphicsList</key>
	<array>
		<dict>
			<key>Bounds</key>
			<string>{{161.25, 343.625}, {148, 94}}</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>12</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>Align</key>
				<integer>0</integer>
				<key>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
{\*\listtable{\list\listtemplateid1\listhybrid{\listlevel\levelnfc23\levelnfcn23\leveljc0\leveljcn0\levelfollow0\levelstartat1\levelspace360\levelindent0{\*\levelmarker \{disc\}}{\leveltext\leveltemplateid1\'01\uc0\u8226 ;}{\levelnumbers;}\fi-360\li720\lin720 }{\listname ;}\listid1}}
{\*\listoverridetable{\listoverride\listid1\listoverridecount0\ls1}}
\deftab720
\pard\tx220\tx424\tx441\pardeftab720\li457\fi-458\sl360\slmult1
\ls1\ilvl0
\f0\i\fs24 \cf0 {\listtext	\'95	}Design for TV\
{\listtext	\'95	}Use Leanback Library\
{\listtext	\'95	}Meet TV App Quality\
}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{265.75, 531.75}, {56, 27}}</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>14</real>
			</dict>
			<key>ID</key>
			<integer>48</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>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\deftab720
\pard\pardeftab720\qc

\f0\fs28 \cf0 Review}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{105.4375, 515.25}, {49, 27}}</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>14</real>
			</dict>
			<key>ID</key>
			<integer>49</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>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\deftab720
\pard\pardeftab720\qc

\f0\fs28 \cf0 Opt-In}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{102.4375, 494.125}, {55, 27}}</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>14</real>
			</dict>
			<key>ID</key>
			<integer>50</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>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\deftab720
\pard\pardeftab720\qc

\f0\fs28 \cf0 Upload}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{101.9375, 536.625}, {56, 27}}</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>14</real>
			</dict>
			<key>ID</key>
			<integer>51</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>Text</key>
				<string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\deftab720
\pard\pardeftab720\qc

\f0\fs28 \cf0 Publish}</string>
			</dict>
			<key>Wrap</key>
			<string>NO</string>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{79.875, 501.75}, {100.125, 54}}</string>
			<key>Class</key>
			<string>ShapedGraphic</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>12</real>
			</dict>
			<key>ID</key>
			<integer>52</integer>
			<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>Color</key>
					<dict>
						<key>b</key>
						<string>1</string>
						<key>g</key>
						<string>1</string>
						<key>r</key>
						<string>1</string>
					</dict>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{52.875, 262.125}, {352, 375}}</string>
			<key>Class</key>
			<string>ShapedGraphic</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>12</real>
			</dict>
			<key>ID</key>
			<integer>53</integer>
			<key>ImageID</key>
			<integer>3</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>
		</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>ImageCounter</key>
	<integer>4</integer>
	<key>Images</key>
	<array>
		<dict>
			<key>Extension</key>
			<string>png</string>
			<key>ID</key>
			<integer>3</integer>
			<key>RawData</key>
			<data>
			iVBORw0KGgoAAAANSUhEUgAAAWAAAAF3CAYAAACbspFvAAAKQWlD
			Q1BJQ0MgUHJvZmlsZQAASA2dlndUU9kWh8+9N73QEiIgJfQaegkg
			0jtIFQRRiUmAUAKGhCZ2RAVGFBEpVmRUwAFHhyJjRRQLg4Ji1wny
			EFDGwVFEReXdjGsJ7601896a/cdZ39nnt9fZZ+9917oAUPyCBMJ0
			WAGANKFYFO7rwVwSE8vE9wIYEAEOWAHA4WZmBEf4RALU/L09mZmo
			SMaz9u4ugGS72yy/UCZz1v9/kSI3QyQGAApF1TY8fiYX5QKUU7PF
			GTL/BMr0lSkyhjEyFqEJoqwi48SvbPan5iu7yZiXJuShGlnOGbw0
			noy7UN6aJeGjjAShXJgl4GejfAdlvVRJmgDl9yjT0/icTAAwFJlf
			zOcmoWyJMkUUGe6J8gIACJTEObxyDov5OWieAHimZ+SKBIlJYqYR
			15hp5ejIZvrxs1P5YjErlMNN4Yh4TM/0tAyOMBeAr2+WRQElWW2Z
			aJHtrRzt7VnW5mj5v9nfHn5T/T3IevtV8Sbsz55BjJ5Z32zsrC+9
			FgD2JFqbHbO+lVUAtG0GQOXhrE/vIADyBQC03pzzHoZsXpLE4gwn
			C4vs7GxzAZ9rLivoN/ufgm/Kv4Y595nL7vtWO6YXP4EjSRUzZUXl
			pqemS0TMzAwOl89k/fcQ/+PAOWnNycMsnJ/AF/GF6FVR6JQJhIlo
			u4U8gViQLmQKhH/V4X8YNicHGX6daxRodV8AfYU5ULhJB8hvPQBD
			IwMkbj96An3rWxAxCsi+vGitka9zjzJ6/uf6Hwtcim7hTEEiU+b2
			DI9kciWiLBmj34RswQISkAd0oAo0gS4wAixgDRyAM3AD3iAAhIBI
			EAOWAy5IAmlABLJBPtgACkEx2AF2g2pwANSBetAEToI2cAZcBFfA
			DXALDIBHQAqGwUswAd6BaQiC8BAVokGqkBakD5lC1hAbWgh5Q0FQ
			OBQDxUOJkBCSQPnQJqgYKoOqoUNQPfQjdBq6CF2D+qAH0CA0Bv0B
			fYQRmALTYQ3YALaA2bA7HAhHwsvgRHgVnAcXwNvhSrgWPg63whfh
			G/AALIVfwpMIQMgIA9FGWAgb8URCkFgkAREha5EipAKpRZqQDqQb
			uY1IkXHkAwaHoWGYGBbGGeOHWYzhYlZh1mJKMNWYY5hWTBfmNmYQ
			M4H5gqVi1bGmWCesP3YJNhGbjS3EVmCPYFuwl7ED2GHsOxwOx8AZ
			4hxwfrgYXDJuNa4Etw/XjLuA68MN4SbxeLwq3hTvgg/Bc/BifCG+
			Cn8cfx7fjx/GvyeQCVoEa4IPIZYgJGwkVBAaCOcI/YQRwjRRgahP
			dCKGEHnEXGIpsY7YQbxJHCZOkxRJhiQXUiQpmbSBVElqIl0mPSa9
			IZPJOmRHchhZQF5PriSfIF8lD5I/UJQoJhRPShxFQtlOOUq5QHlA
			eUOlUg2obtRYqpi6nVpPvUR9Sn0vR5Mzl/OX48mtk6uRa5Xrl3sl
			T5TXl3eXXy6fJ18hf0r+pvy4AlHBQMFTgaOwVqFG4bTCPYVJRZqi
			lWKIYppiiWKD4jXFUSW8koGStxJPqUDpsNIlpSEaQtOledK4tE20
			Otpl2jAdRzek+9OT6cX0H+i99AllJWVb5SjlHOUa5bPKUgbCMGD4
			M1IZpYyTjLuMj/M05rnP48/bNq9pXv+8KZX5Km4qfJUilWaVAZWP
			qkxVb9UU1Z2qbapP1DBqJmphatlq+9Uuq43Pp893ns+dXzT/5PyH
			6rC6iXq4+mr1w+o96pMamhq+GhkaVRqXNMY1GZpumsma5ZrnNMe0
			aFoLtQRa5VrntV4wlZnuzFRmJbOLOaGtru2nLdE+pN2rPa1jqLNY
			Z6NOs84TXZIuWzdBt1y3U3dCT0svWC9fr1HvoT5Rn62fpL9Hv1t/
			ysDQINpgi0GbwaihiqG/YZ5ho+FjI6qRq9Eqo1qjO8Y4Y7ZxivE+
			41smsImdSZJJjclNU9jU3lRgus+0zwxr5mgmNKs1u8eisNxZWaxG
			1qA5wzzIfKN5m/krCz2LWIudFt0WXyztLFMt6ywfWSlZBVhttOqw
			+sPaxJprXWN9x4Zq42Ozzqbd5rWtqS3fdr/tfTuaXbDdFrtOu8/2
			DvYi+yb7MQc9h3iHvQ732HR2KLuEfdUR6+jhuM7xjOMHJ3snsdNJ
			p9+dWc4pzg3OowsMF/AX1C0YctFx4bgccpEuZC6MX3hwodRV25Xj
			Wuv6zE3Xjed2xG3E3dg92f24+ysPSw+RR4vHlKeT5xrPC16Il69X
			kVevt5L3Yu9q76c+Oj6JPo0+E752vqt9L/hh/QL9dvrd89fw5/rX
			+08EOASsCegKpARGBFYHPgsyCRIFdQTDwQHBu4IfL9JfJFzUFgJC
			/EN2hTwJNQxdFfpzGC4sNKwm7Hm4VXh+eHcELWJFREPEu0iPyNLI
			R4uNFksWd0bJR8VF1UdNRXtFl0VLl1gsWbPkRoxajCCmPRYfGxV7
			JHZyqffS3UuH4+ziCuPuLjNclrPs2nK15anLz66QX8FZcSoeGx8d
			3xD/iRPCqeVMrvRfuXflBNeTu4f7kufGK+eN8V34ZfyRBJeEsoTR
			RJfEXYljSa5JFUnjAk9BteB1sl/ygeSplJCUoykzqdGpzWmEtPi0
			00IlYYqwK10zPSe9L8M0ozBDuspp1e5VE6JA0ZFMKHNZZruYjv5M
			9UiMJJslg1kLs2qy3mdHZZ/KUcwR5vTkmuRuyx3J88n7fjVmNXd1
			Z752/ob8wTXuaw6thdauXNu5Tnddwbrh9b7rj20gbUjZ8MtGy41l
			G99uit7UUaBRsL5gaLPv5sZCuUJR4b0tzlsObMVsFWzt3WazrWrb
			lyJe0fViy+KK4k8l3JLr31l9V/ndzPaE7b2l9qX7d+B2CHfc3em6
			81iZYlle2dCu4F2t5czyovK3u1fsvlZhW3FgD2mPZI+0MqiyvUqv
			akfVp+qk6oEaj5rmvep7t+2d2sfb17/fbX/TAY0DxQc+HhQcvH/I
			91BrrUFtxWHc4azDz+ui6rq/Z39ff0TtSPGRz0eFR6XHwo911TvU
			1zeoN5Q2wo2SxrHjccdv/eD1Q3sTq+lQM6O5+AQ4ITnx4sf4H++e
			DDzZeYp9qukn/Z/2ttBailqh1tzWibakNml7THvf6YDTnR3OHS0/
			m/989Iz2mZqzymdLz5HOFZybOZ93fvJCxoXxi4kXhzpXdD66tOTS
			na6wrt7LgZevXvG5cqnbvfv8VZerZ645XTt9nX297Yb9jdYeu56W
			X+x+aem172296XCz/ZbjrY6+BX3n+l37L972un3ljv+dGwOLBvru
			Lr57/17cPel93v3RB6kPXj/Mejj9aP1j7OOiJwpPKp6qP6391fjX
			Zqm99Oyg12DPs4hnj4a4Qy//lfmvT8MFz6nPK0a0RupHrUfPjPmM
			3Xqx9MXwy4yX0+OFvyn+tveV0auffnf7vWdiycTwa9HrmT9K3qi+
			OfrW9m3nZOjk03dp76anit6rvj/2gf2h+2P0x5Hp7E/4T5WfjT93
			fAn88ngmbWbm3/eE8/syOll+AAAACXBIWXMAAAsTAAALEwEAmpwY
			AAAB1WlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0
			YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1Q
			IENvcmUgNS40LjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0
			dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1u
			cyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0i
			IgogICAgICAgICAgICB4bWxuczp0aWZmPSJodHRwOi8vbnMuYWRv
			YmUuY29tL3RpZmYvMS4wLyI+CiAgICAgICAgIDx0aWZmOkNvbXBy
			ZXNzaW9uPjU8L3RpZmY6Q29tcHJlc3Npb24+CiAgICAgICAgIDx0
			aWZmOlBob3RvbWV0cmljSW50ZXJwcmV0YXRpb24+MjwvdGlmZjpQ
			aG90b21ldHJpY0ludGVycHJldGF0aW9uPgogICAgICAgICA8dGlm
			ZjpPcmllbnRhdGlvbj4xPC90aWZmOk9yaWVudGF0aW9uPgogICAg
			ICA8L3JkZjpEZXNjcmlwdGlvbj4KICAgPC9yZGY6UkRGPgo8L3g6
			eG1wbWV0YT4KsOMy3QAAQABJREFUeAHsXQdgHMXVnrtTl4tsyUUu
			uOJu03sgEEMICQQIvUOAUAM4CWn0UPKHhCSEEghJILRgejMYAphm
			gysG995tWZJl9X53//fN3juvzidZklVOd+/Zo5mdtrPfzn777k1Z
			Y1QUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQB
			RUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQ
			BBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFF
			QBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAE
			FAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVA
			EVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQU
			AUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUAR
			UAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQB
			RUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQ
			BBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFF
			QBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAE
			FAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVA
			EVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQU
			gXZCIM3n8wXhKuHK6bxe73z45+7N+VDHZpSfuDd1aFlFQBFQBOId
			AUvAuMgRoQtNTkpKmgwC3QoSPm8vLn4flE3Zi/JaVBFQBBSBuEcg
			koDtBYOAb4D7Wq4eZPwTHC8NuRskHmR9DNLehSuAexHxWUxD+HV4
			ltQRPgnlFsD/HO4SuKeZBzIJ4SeR9iu4tXDzk5OT93OS9K8ioAgo
			AvGPQFQCBhEeDHKsxeXD850KclwHsj0RxxMRXoa4CwgNwl9TY0Zw
			GOJexvEtoXgxQaQjvhjuLOQ7HunfwK1iHhwfgfg6+A/icBTCr8K9
			xTQVRUARUAQSAYGoBIwLHw4yrIefCv99kOYvBAyEr0bcGzhORngb
			3LUMw/WAGwRHYrYEjHzfhxONl2x+BdJWM0+IgAsR9IWOj0TaSoZV
			FAFFILER8Cby5YMcBweDwRXAoAb+SI/HcwvIM58O4d8jvi9cHcI/
			gT8F8UVw1GRJxGFB+gkobzVeRvr9/i/DiQggbTujGVdfX18OL51h
			FUVAEUhsBBKagEGMZ4I8F4S6QAn860GefUMuF/4PEJcCf1YgENgX
			/lE4prnh3lAZ8fyohwNyVkDsuRIO+YGIYz1UBBQBRcAkGgFT88yA
			6wMzAM0NF4JU72E/wPFH8M6BS6MDyXLg7OcI94D/FfyecN/ATYXr
			DRcWEPlMuO8iYjCcD+Hrw4kaUAQUAUWgEQSSGomPy2iQ6qLQhVXA
			/xha65nwaYKgaeBepL8Fsl2HeL6YvobWexX8UhxPQ9pWhGeDXHOQ
			5yaEwwISfw1x4+E+RiQxfRduJJyKIqAIKAKKQDMR8CAfiTMaeQ5F
			/Fi4aEJb8Sg4DrR5YYI4HoT9UrSMGqcIKAKKgCLQtgjkQvvdANK9
			Au40hBfCP6ttT6G1KQKKQLwhQI1PpQ0Q4JximCI4lzgT1U2HSeP9
			NqhWq1AEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUAR
			UAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBKIh
			oPOAo6HixLUGm2Dj1WmKIqAIKAINEWgNyTSsoesfRWLA48i4llyl
			m4QlLH5L6tG8ioAiEOcI7A3RdHVo3Ncuu8KJz2tzh5t7rUK09CUs
			W1G645pbn+ZTBBSBOEaAO3clokSSL8mWcXTuMLFpDhEL2QrJCumK
			z3okLHkZp6IIKAIJjECiEjBvuZtwSbJ2JzP4QsDiC1mLz7KREo14
			Sbj8CgbLMcz66CsBAwQVRUARcPauTTQchEjph4nX98el5fh2kKTt
			PSYeT9B/8zhu4k7S5Xfn6Ms5GVZRBBSBBEcgUTVgEqE4knASyfe6
			A/sZr89jvB6PwX+HLRlGBq+Xvsf4Qgks5MQhH+J8Xq/Nx2SGf/3B
			Ghbjt+NIvqL1iqaMKBVFQBFIdAQSlYAtf+Lm0+xA53xkE7FkTXEI
			WiHBkjk9waChjmyplkzLnPQg+FKG8YCkKTbJhkyK49m/Qr62KsTQ
			V1EEFIEERoBElEgSYk17ybx2ki9fQg4BhwwDoFmHcENMKoxJtuU/
			y5wgXMuhJF7JZ+McMkYiJRWOdQvRC/GHaJtZVBQBRSBREUg0Apb7
			LEQsJEyCdCzCksPyq6VaMqpDuijFkC0cVnMdLiUJ85+jEjtxOCD5
			kuBZP88VTkBYRRFQBBIcgUQmYF67OIeAXUNjll9DJGs13BAXWw0Y
			4TA/g1JpfrDOoWlUG8q8i3zdBCwsneBdTy9fEVAEEpmAefdJhsTA
			IWCJge8QrEOk/Gu52GrCNDkwo8SxEkTYOIRCaU6OBqYHpiQq3iE4
			1FMEFAE3AolICEKR9MU5OOAvNVmKkxDKGopzJqk1jAtnRjGmSHkb
			v0vDZpJgHaoglEM9RUARSFgEhBQSFQBeP12YFMWOazlXYsUU4VAs
			SJYlmEiHA0ZIXsTIAT7U6TY97EqwefSPIqAIJDoCiUzAbsp0cAjb
			gCMJ1eFYZwCOZgYUtSxMJobYY1Ixj0OkbBPCtMxIOZ/4Tg79qwgo
			AgmLQCITsNz0MCF6XGgwUswJDJNjqR07JEuCRtjyLRJsgFG2lNRL
			nxGuWt1JGlYEFIFERyARyYGkSIn0TRAasGixDrc6WYSIRQN2lF/m
			cCQcCgekaslh/cjIyOMGmfVAEVAE4h+BRCTgxu8q0HBswMgSJlMn
			Ow899g98Uif+NFB4bZyTV/8qAoqAItAcBJSA3Si5bMAOuYb0YZIt
			88GnNhyyOIRMEIxGKshZNOXd2Nt9Dg0rAoqAIhBCQAk4sitYpg1F
			CvHiUMwOpGLyLcWx+YaI12HocJyTQ/8qAoqAItA4AolEwKRIoVe5
			bjl2fMQ62q0zwCYaLX2r5IZyW+sE4mw6DkQDZrJTRqpt9Hw8fzhT
			47dHUxQBRSCeEYj33dDcJCekJ3NzeSzhcD4bIAtz+8ldqq4lZm5T
			SaOE7IYWTm/QQ1iDpWjG8kDOK+fjOZkhnCnKMaJUFAFFIN4RICnE
			o5D4LJfC5zW6HQmQLx46NynaLdMtK4aIVzRgsm+Yi1GtzUOSDvGo
			oyHL6Rgv4TDByznpu520iwUYDhdEWEURUATiHAE+9PEmQmJuUhPS
			k53JhBDtMVas0bcUyELibByPreaLAM0O+GdPYBkZITdZ24RwFM0R
			3lDdrN/t3O1xk3DkqaUJ6isCikAcIhCPBCy3iWTmNbd+OMT6juZJ
			EuQWkbJNpDvsfDQIiQ7NOsSLQ6vnOtxqh+DssbVJMGS1YydVNGbx
			UVSI1n0+aQN9n/nZq0Phi/arBAwwVBSBREGAJBBP4jAhuBMXZZ2v
			e79vzP1LMpq6yPDsM/friJYEEiw1XGq+8G0QcbQB77L/OqfkcSgU
			OjWK3ff1Z6yGLNy4BCvx5c6cUDqbwiKsyrYgFK+eIqAIxCEC8UbA
			cotIYHRe/9alB/oGjp/17cGZ9UN7pvZ1vt0GErXrjoP2+20sZMmT
			9BdiS5KtmBcs2YZokTRL86/dGQ0+q6HGa9kSZRwaDpr7Txhpi7Me
			+405VMdvyDFM901eef7j8zcn+1fP+RaT4Hh2e1b4FFulE9S/ioAi
			EI8INK2cdb0rFgIjodH5zOyXKnzjvjNnfbD7OT2TPeW905MzLKGG
			iJGXaAkSpMjC/Cgn/Qbka0kTUSTcUDnWwU/AMbctj7PZsJ094eRz
			8kJfljKsF7kWbi3Z8cRXm5PN+gUXBv9+6XIbvYtwSbziQknqKQKK
			QDwiEK8ETA7ltVkSDsx+Md879IAvNiT1O6t7sq8iOwMkjEQSJsnR
			EjKPQ+TrkKtNddKZZjOSrB1CteURZ/+RdHky5gn5HpvPObapobR5
			W4qLnvp6m9cs+fBS/xNXfYXsQrb0xRoicaxORRFQBOIUgXgmYMuJ
			uG+8xqTggrd2eHsP+XJDtyE/yvSZ6j7dUtJJqpYi4TtasEOiYUIO
			EavNh4yWbJ0C9gvITnlnVgS/iCzp1rzB/Kw/5LP+2ZuKdj63KM9r
			vnj1Cv8Lv16EdpFwYQK2jmFxSsAAQ0URiHcEEoGAHVMESXjJBzu9
			6T2+2NhrzGlpXm9N324paeRTIV8PDLu00wppOgQb0n7ZE5DZF9Js
			ORvY5mO01y7NsOnUfFFFqE5SslN+5oai4heXbDfmo39d7X/7D8sQ
			XQ9XBycETF+IV3xEqSgCikC8IhCPBMx7ZXk15DPM6yQRJwVXziyB
			hjprU86EU1K9ntp+3VLTmJtk6pCvQ8BiTiAJhwkaGR1ydkgV9Tma
			MH3mC2nMTn6SMkgacZ+vKyp5dVlBwEz/23XeT/+1MhAIkHjpSMJ0
			kSSMKEvG9FUUAUUgThGINwLmbSLhipB0eSxaMMO+pE0Ly4N15TM3
			9T3o5CSPqcvtnpJKzZWUR8+GScggVamMBEuhBkzhkdWQQ/E2jFge
			hu3EOPhk3Y7SN1cU+M3bv/+p94sX1tbV1dWiqJCv+ELA1HzFDIGg
			iiKgCMQzAvFKwJYfQzeOjEkncV5ooN6kLUvLgyUFn28ZeOj3QJ7+
			gd1TU8mtjvbqEK9Dqk5BMqsX9Og2UdDUwJwkXWsDRoAnYR0MzFhT
			WPbOqvxa89IdN3jmv7Ee9dXi3CRgIWE3AQv50qdTUQQUgThHIF4J
			mLeNXEgR303CHkvC+SvLgzu3fbZ10OHfA+MFBnVPSxWCDWu/JF4S
			KzmVfqhKhm3lYOFwXp4M8STmD0G+760urDZTb7nJs2j6RpIvtN8a
			ZBECFhKm9kszhFvzVQIGICqKQLwjEI8EzHtGdiSJ0ReHoBUeU0jC
			JqlgTWVw+9pPtw456rt1KDGkV3qKLUCyDRFumGxRyG1eEGK2lYF1
			+Y8E/t6qgvKP1hRWmuduvtGz7KPNKF8D8q1GPiFg+pH2XxIwRXzn
			SP8qAopA3CIQrwTMG0YejaZJCjFb35Jw0YbK4OZVn+QNO/r4Gr/x
			DM1KT2EFFCFfEitrJOnSx38rQro8Zto7KwvLP1ubX2aennKjZ9Xn
			W1G+OkS+JGBqvfRpehDzg2i/bI+SL0BQUQQSBYF4JmDeQ/Kim4Qb
			kK+kWRIu3lQV3LRoRt6wYydX1XuShvVOS7EaLish6UJE43X8XaYH
			pjPHtJWFFV9syC82T15/k2fdnLwI8qXWS0fiJRG7TQ9KvgBERRFI
			NATinYB5P90kLGHxw/fbknDJtprg+gUfbx/5nePKa03K8N5pyUKu
			1jaMqki+rJEVhIK2jrdW7qiYszF/h/nXVTd5NizMjyBf0X6VfMOI
			a0ARUAQSgYB5l92EK2Hxw73AknBZfo1ZNeej/FGTv11a50ndNzs9
			OUy60FNJuqIBW3JGxBvLCyoXbtpeEHzs8hs9W5bsUPINQ6oBRUAR
			aAKBRCFgQuAmXAmLH4aIJOyrKKw1K2Z+tGP0CUcX1XjS983JAAmz
			goYaMGt8bVlB1eJNBdsCj15yk2f7yiKQrwy4UetVzTeMrAYUAUUg
			EoFEImBeu5tw3eEGuICEPb6qnXXBpZ9+VDTq+CMLqk3m6JxMqwmL
			BkxVGKvbqpZtyt8UePSiKZ6CtcWNkG+06WZq822AuB4oAomJQKIR
			MO+ym3jdYXcPCFpNuLqkPrj4ww93jj/p8LwqT/cx0IR9IN4A6POV
			ZQXVq7YWrA8+dO4UT9HGUhf5cqBNNF8lXzeqGlYEFIEGCCQiAROA
			xoiXadRObbol4dryuuDCdz4omXDyYVurTM+xfTKSXl5WWL0uL39l
			4K9nTDHF28pc5CvTzOhHzvXlFDPVfAGCiiKgCDgIJCoB8+r3RMIk
			SwMSDvrqquqDC6a9Vzrx5INL6z2elZsL1gX+/KMbPeWFFSHylSlm
			4pOA3QstlHwJpooioAg0QIAklMgi1y/7RfCFJB/N5Ic0uSCDzoaT
			e+amBqa8/Afvn8/4janawaXFQrIkXLeTeM71VfIFCCqKgCKwOwJC
			QLunJE6MYOAmYRIxiddNxgwznvkoJFZZTCEr22R1G32mK/kCBBVF
			QBGIjkC8fpQz+tVGjxWbL8nSLdRohURJtCRfIWCWEXuuaLtuX8pJ
			HmRXUQQUAUWgIQJKwA4ejZGwEC0JmJpvNAJmGh1JlySs5AsQVBQB
			RWDPCMjP7z3nTIwcggfJlmG3WULCgoSQsxCukDCPKeI7R/pXEVAE
			FIEIBIRwIqIT+lAwERIWIqYvTgAS8uVxZFjyqK8IKAKKQFQEhGyi
			JiZwpBsXEjFFfIaZLhowj0XbdccxXkURUAQUgUYRcBNNo5kSOMGN
			D8PuY5KtiBKvIKG+IqAINBsBN6E0u1CCZoyGlZuEExQWvWxFQBFQ
			BBQBRUARUAQUgdhAwOfzXQTnhyuHq4ArhHsHrdu3PVqYnJx8oNfr
			XdUedWudioAiEJ8IuAeW4u4Kg8Hg136/vxtcJtwIHH8MEp6DC82J
			u4vVC1IEFIEuh0BcE3DE3SjBxjr3I24JNNWrQ2mZIOR/4ngT/BnQ
			Yg9lPMLPwJ0ZysPjM+EeDR1PQviTUJmnENdD8rl8JHvvgdsKtwXu
			VqRZGzLK8iVwIeIWwq1E+AxXOQ0qAopAAiGQSARsbyu04JnYwWwC
			D0B+j8PLBjF/F/7j8KfD7408NCWcDydyEeIW46AHynyI8BvIezSO
			a3H8tGQSH8R6Lc5xIvIcBvcdxF+AfJeE0o+Afyniz0SeWxD+Jxz3
			nVBRBBQBRSA+EADhXQQiXBB5NYj7FdJeRXwv+Fw6PFTy4PgjuAtx
			PBp+GfxUuAyES+H3gX8F3GyERXJwzD0jMt02YJxjIeIvk0w4vh7H
			7/EYfk1SUtJRkobjt3B8vByrrwgoAomDQMLtBQGtcx9osF+DMIdD
			C/WCAGkTFslE2jQcrIC/GsR4HPwMHM+CK0B4JMpPRJl8KQCfvyKy
			Xcf8jP1Q2JzDRI3jtSjbR/LU19e7B+vWox0k5A8kXX1FQBFIDAQS
			jYB9IMLTQIjXYC/fEhBpPYhyGG51Reh294LPTdUpU5H3ZPi08f6X
			EZASuPdR5jR75PwZAG8bnHtgbwnIexCIdimzoJ7ROOcXDIeEdQqJ
			T0RY6pd09RUBRUAR6LoIgFxpgliIK6AGSzccce/AzUCYLx4f0tfh
			+EqEKYNxvBWa8QHOoRmO4w2MwzEJ0yDtcOQnCe/DY4TPR/pKhiNM
			EL9B2jOIToPzIPwhnCVt+DUo81uWgdDUQfKfZI/0jyKgCCgC8YAA
			iI3zgIPiQHqbEP4Xrq2vXB9NDIgrRNpS+GXwOSgWFsTNgXslHIEA
			8tyDOJLoUrgNqIODcQ0IGIeDQumb4S9H/rcRl858LAv3LuIXwS+G
			fxvjVRQBRUARSEQEUnHR1EDdJoQ94ZADjXc/ZGpq9gL3Dh4DRxNF
			WEjAOOC5GJ8ZTtCAIqAIKAKKQPsi4CLg9j2R1q4IKAIxjwC1NJUO
			RACDcR4Myn2KU9Z14Gn1VIqAIqAIKAKKgCKgCCgCioAioAgoAoqA
			IqAIKAKKgCKQmAh4EvOyW3TVLcVIN2lvEbyaWRFIXARaSi7xjJRg
			Eem39pqFiCP91tan5RQBRSDOEEi0pcjRbp+bcBl2O+aX9Ghlo8W5
			CZdhcZJX0uVYfUVAEUhQBBKdgN1kyzA31qGLjGf32BMRC7EK4Yov
			n6uXY9YleRlWUQQUgQRFIJEJ2E2yQrz0OTdajt152EUaI2EhVCFZ
			+kK8/lA5OWY9FCnjHOlfRUARSDgEEpmAebNJqEK2Pt/9S2RXtLbp
			CFhz4b95XBYq477DIiRiJV9BQ31FIIERSFQCdmu2ovVaLK4/uB/3
			8zVeOPy3DI1t02wYf514dhikWeb2OnHM70XYVhwq/+sP1vAwOaJ/
			kXwZT1EidnDQv4pAQiKQqATMm00SFO2XOFiiJPlaEg1lgAeaDFpS
			pm8ZExlIxpaV4bOMkw9/QcIUiULQvWEPi7sds6ooAopAgiJAAkpE
			IUvSifZLu699GWGfBosHqZahMLkyNsSqpGiby+ZFPvqozZZAmBVL
			PQiSgFk3zyH2ZTk/olQUAUUgURFIVALm/RYSFBLe/dcAWdaSKwg3
			HHaI1hZ2qblk5AZkbau33Yr1CgHzXHJem6h/FAFFIHERSGQC5l0X
			MhQSbtATLL/yD7VaesxtlV2HkMOcHCJil9brZHRqo2lDNV8HC/2r
			CCgCLgQSlYCFeOkTg4YEzFiIQ7Ah+y+OHesw4x1CZh6Hn5mT4VDB
			kGcjG5oeeB6migtlUU8RUAQSEYFEJWDeayFB+kLClmRFk3UyUNt1
			7MGOHUKKwrd2CR5DkFnKie8khLVfJd8QIOopAoqAg0AiE7D0ATcR
			O9ptiJstvzIVYj1quDbAgTdG8sBGWHVZNOBd8yjst+KUeAmgiiKg
			COyGQKITcIg9Q4zbAB4wrKRKPFnXRoemnlkWJhNDkLeh5huKd2ph
			TVKb+LaY/lEEFIHERSARCTiSAOXY+qLFskswoiGpOlkdgwSZ2BmM
			s2Us34aIuWF/YiGn4C5fcki8HKuvCCgCCYRAIhJwk7eXhOsQLMgV
			OUmudI7JwSlKE4Oj/Ia1XJtANnWXd3LrX0VAEVAEoiOgBByBiyVc
			UVhD/BpSbsmuTm4wrWP+JTm7tGQysJMQUaseKgKKgCKwOwJKwBGY
			7DI5hKaakXQDCDMfyTVEuMLF9KkRh80QiLB5rf4cUbkeKgKKgCLg
			QkAJ2AVGOOgwqHMYIl0eWNNEmHAleRcpOzH46y4fjtSAIqAIKAIN
			EUhUAiZFRnMWHUe7dey8ohHT+EBNV4THNElYm6+jBodsx2KpCOeN
			dh6Jk+rUVwQUgQREYPf9D+IPBGFCt+/eGIcvITqbbs0JxICkyu0l
			oQE7dmFHA2Y6NWHZDU3SWETEOZGlaEbxkE7O4/aZSRyCNkxfRRFQ
			BBIAgXgmYIcHdxGgmwiFgCN9S64sYm266ABWw7UDa2RQNxkjV1jz
			RTxo1BPaipKMSqIOCQk38jw8ZjaKbNAux4xzh3msoggoAnGIQLwS
			sLAfyY8iWifjGeZ103GjHAmTFMParrA146gNW0KGb5kRiaIBW6oN
			EbRNjNgPGAQeSb48H0lXhKeSzxVJmL6SsCCkviIQpwgIQcXj5ZHE
			6Lzmu7/gnrwkQiFdEq/bJSUnJzPNarzWB/+RAUUTZhwOHA/VWnak
			Bsx8YU0YxyRrxto0m90Xqtt9vl3Ef9gFqcjlfkE4J7FF9Y8ioAjE
			MwKWdOLsAoXA6NN5fcdfVm6Ov6zJy3SrpOGMDsuiBi951aFdaLhi
			A25AzkwPab9OeacZwfu+/ozVWPU6XHHDgH/2c5mhGDaDBVlE/FCS
			eoqAIhBvCMQjAfMekbzEeY2//s1u6UnjTxvZa0QSyNT5dhsG0jxU
			PIOGcVRuWcAtVuHlH2q1lniRh0SLOBJyeH/gEPFS691FykFz/wkj
			bb0+5G/wvTjkr8fc4vs+Wbs2v7RyCc7pNGQX8bIpJGEVRUARiGME
			4tUEQQKjsz/t/Y+cf1l5RdWi11fu3EDis+yJZGqylkzlBosGy5IQ
			MqCbVGVgzSlns1iCFXNDmHxD5UM17GJ2y+jG1NYHzD0zVm3ILy79
			xv+X069ETXwR2rbCl7Y7J9C/ioAiELcINPXLuKtetBCYEJrPlBb4
			gt+8+l79AWfvv7qsrsfo7IwePpCtkxE+iNE6MC6/bkzi5LH9MjJy
			MYZMK9qvkz/ElFI2RN5Mc7KzTmrWqMepwf6t9QfNvTNWbynaWTzf
			/+cTp5gdeX7kp+nB8n2Ez6pUFAFFIE4RiFcNmLeLhCbiMYWFxn/f
			MT+vLCn98uXlhdtq/QFyakg7DXEf0LDaraVKx8wQ4k7HYwHLr8jF
			IrsqsGcLk6+UlyawGPJWQ/u+95NVeTt3FMzx//64X5viYrYv3Aoe
			QNztdmL0ryKgCMQlAvGsAQux8SXD6/SZ+vqk4JfPfeo/4IyRq8pN
			n1E5GZnJ1IRBjtaB+izH2mOHNG08CofTwZdWM2YecGU4v0sDdupz
			tGmGqQFXW813RUFpft7n3vtP/F2gtrYe1YqjFhxNE0a0iiKgCMQr
			AvFKwLxfbgIWEsaAnN8X/OypWf4DThu0stLXf3TvzIwUHwmYBUCW
			YprAsWOO2EWkTGc+1izEyxP5OIjHaJKtq7w1QYCkq0C+v/9k9Y7y
			rZtmeP98yh/r6upIvHVwQsD0hYDFHIEoFUVAEYhnBOKRgOV+hajS
			ciMJeBcJgzOT5kydUzfxe32XVyUPGpOTkZ5E4gQRW7EEi+zwScJC
			xFazZUWWhW1yA9KVeIegaf81pqIuYP7wyeqdFVvW/M/z4Ol/Qx11
			gUCA5FsLR1+IOJKA1RQBcFQUgXhGIF4JmEzamLNkDBL0Js19aX79
			2O/0XFqZPGxs325pKT5MUQNrOpou/zparSVeHIQH4UjWPMYfBHfl
			s/G7ypfV+c2fPltdUrVx2TTPw+c+hvy10H5JvOKUfOP56dJrUwT2
			gEA8E7BcOnmUQl8cSdjj82GG7pyXF9aPPiZtSU3mSMyOSHXMEQ7B
			OmSMjNBFrWmB5Cy1oSoSMMWH2Q5h0wOOWa4UJt4/z1xfWr3um9c9
			j138b+StQVItiN/6DMMJAdMEQdODmh8AgooikCgIxCsBR94/IV6J
			t8cgQ0MSNnNfXeQfcYRvSW330aOzM1PTknfZdEmy5FkhWxw5WnIo
			jmRL8qVI3pJav/nzF+vLalYveNHzjx8/i6QaEjC032qERfulL7Zf
			MT/Q7CAOQRVFQBGIZwQShYAj72HYvhoiYWPmvb4kMPxQ/+K6HuNH
			ZWekpCftgoYkSxYmLZNqLRkzKlSrTQ6R8M4av/nrFxvL61bNec7z
			zytfQJZq5K8OkS+1X3Fu7TeSgEM1q6cIKALxjMAulonnq2x4bUK+
			YT9MwvPfWB4ccmDN4vqsiaN6gYRTHJuwNUWE2NZSMMJOnKMNWzsw
			WLiout48NHtjRf2yWU95nrzmZZzWTb6i/ZKASb50JF4lX4Cgoggk
			IgKJSMC8z2HylZseJuGv3lrhHzypfFF97wP2zc5IxvSIsMZLDdgS
			L3Vf5z8VY5teCPJ95MtNlYElnzzheeaG11FvJPmK7VfJV0BXXxFI
			cAQSlYB524WEw11ASNizcNrqwKDxRYv92QeN7J2e3C3Z5xCvlHBp
			wDRHkHz/PmdjVf3ijx7xPPezt1Ehbb5idqDmq+QbRlkDioAiIAgk
			MgETA6FUwcMICXu/mb7G339UwRLT59ARvTOSu6X4rKYL7rVkLBrw
			9oo6848FW6v8C9//q/eFX04n8cLJgJuSbxhZDSgCikAkAolOwMSD
			JNyAiEMk7PEuen+dP2f41sXB3COG9UpP6g6bsOz5S1NEHsj3ya+2
			VfvnT/uT96XffEDyRV3RyLepGQ9sg4oioAgkIAJKwLtueiQJBzFF
			zXiXfLDR33ufDYs9A741JCstqWdqktWAt5TVmKe/zquun/fmvd5X
			bptBrRdVidmBYTE7KPnuwlhDioAi4EJACdgBQ8i3gTYc0oSD3qUf
			bfL3HLhmSdLgY/bpmZZUinm+zy/aDvJ97U7vq3d+5iJfIV7x3VPN
			3Ast5HyuW6FBRUARSDQElIB33XE3KYaJmCQMF0xa+ekmf1a/ZUuS
			9vnOovyKev/c137te/13M0P23hrkEdIVzVfJdxe2GlIEFIEoCHBM
			KdGFGNixNfhcosyvU9Dxw5n8mKc4fFszOTlwxl0HI87rfeWOefAD
			WGAh08rcK9yUfAGOiiKgCDSNgBKwg08kCfOXgXzFmGRMEhZitpv5
			4FhMCrKlpNh6hZBlgYXs7+DWsFFcRRFQBBIdAZKKyq5ZECRLt5A0
			hWiJFYnZbuQDX9JItELC4iv5AhQVRUARaBoBJeBd+IiG2hgJk1wb
			I2CWIemKE9JmnVIvgiqKgCKgCOxCQE0Qu7CQkJgj6Iu5QYhXtF/J
			K1qwEHAk8Sr5ClLqKwKKwG4IqAa8GyQNNFYSKoVEKoTsfmkJAdOP
			DPNYRRFQBBSBRhFwk0mjmRI0QbCh73aEg8dCsEK+4jNd0hhWUQQU
			AUUgKgJCMlETNdIiIBhF+kwUoo30FTpFQBFQBPaIgJDKHjO2IkO0
			uqPFtaJqLdJGCMiLg9W5w21UvVajCCgCTSHQ1oQYWR8HrSjiR4Yj
			89vM+qfdECDJCtG6w25bN08uedqtIVqxIqAIOLbMtsDBTaQyc4D1
			SpjpdELE4jOPSschIMRKwhUCpi/H4rvTOq51eiZFIMEQcBNnay9d
			6qDP6VpCtL61a9d+p2/fvmekp6cf6fV6c5HWrbUn0XJth0AwGKzA
			3hXbqqurZ23btu2VfffddwZqJ/nSySISNzG33cm1JkVAEWgzBEi2
			QrxcupsGlzFz5sz9a2trP8eDrtIFEKipqZk5bdo07nHRAy4TLhWO
			91PmPyOooggoAm2NAMmztSLkKwTMh9W3ZMmSo8eOHfs8dgnLam3F
			Wq7jEcB7onjevHkXH3rooZ/j7LKkmr5owtSOVRQBRaANEWitLdZN
			3JZ40aakN998E9yr5NuG96fDquIL86CDDnrmqaeeGoeTcvMhasBc
			qON+0eJQRRFQBNoKATeRtqROeShJvnxI+bCmVFVWvZmWnnZESyrS
			vLGFQGVl5ezMzMwz0SrZ35i7vIldmL6KIqAItBECrdGAhXxZNkzA
			n3/++WQl3za6K51YTUZGxmFvv/32ZDRB7MB8wfI+8363pr+gmIoi
			oAhEQ2BvHig3AaeOGjXq9Ggn0Liuh8B+++33Q7Q6HU5ImPdaXrxd
			74K0xYpAjCJA7aY1Ig8kNSP7xYgePXoc2pqKtEzsIdC7d2/OiOCM
			FhmMc5sgSMQcmFNRBBSBvUSgpRqwaEH0Sb60/dKl4ms9/eCrxAEC
			qampfXA/RQOWr4GIGYL3XkURUATaAIGWEjBPyQeQ5cQ2aAkYCy0y
			mKjS9RHw+XzpmJZGDdg9G4L3nCSsBNz1b7FeQYwg0FoTBB9COj6Q
			SdCW+KA2S2rq/WZZfqkpC9aaMX16mJyUdH2im4Vch2dK433FN0fl
			Rct7ze/dqSgCikAbIdAaAqYmJI4PZTK0pWYTcGF5jblj2mKz3VNh
			Dp/Y3Uwe0tcc2ivX9EvVVcptdE/bpJrQPY00P/C+y8tX7cBtgrRW
			ksgItIaAiZdov1YDxnGz6+FyqnK/35RUBM2clcWmylSa1ZX55pCs
			AWZC9/4my5oeeQqVTkZAyJf3lk7It5ObpadXBOIHgWYTZ8Qliwbs
			xc9UL7QlEnGzxAPq9qV5jLfWYyrKfWbVBvyq9Raa+qRys746z+zX
			faAZkdHPZPg4A0qlExHgPfXh/vpghpD7LdpvJzZLT60IxA8CLSVg
			9wPIsDyYzSZgAwZOSvGZ5HQU9QRNaWWS2bTdY7qlVhpvzwozt6LU
			bKvLM6MyBppBaf2hejW/6li6LXgpGWxyY2rr6kxyUpJJSUkxGNyK
			pSbuqS3sG2yw3GO59/RVFAFFoA0QaCkBu0/pfiCb/VBaDRjKbXKA
			BIz/Hq8pqfaadQUek5lcZbqlFJtt9RWmuqbE5NdtM0PTBptsX7bx
			eVvX1Pr6erNz506zs7jU1NZW45Rek9ktw+T2728w3cp9PW0arqio
			MMtXrjLr1q0zQwbvYyZOHG+wLedenQNbSJqqqmrj9Xr2uq5mNITE
			K/dYsjf7PksB9RUBRaBxBFrHarvsgXwgRUNq/CyuFPCtScnwQbPF
			7DVowB6QiReaYWFNslmSn2QyUkvNvlnVWAFQa/I9xabGn2d6B/uY
			gUnDTXdvb6hkzdMiqYEW7thhFn6z2HhgeB4yZKDJ6pllioqKzPz5
			Xxkkm4MPOgDx++Al0Pa8giW9JhOuvKzCkmYStOC9lcqqKrNo0SLU
			m2kmTBgPIib07SZyXyPvcduD1W6XoBUrArGNwN6yQssfRpCdL82L
			qRPgXxAIuc/DVoCZi0Gui3b4TI/UIjMWJOyxe8DUmsqkarMxkG/6
			l/Y1feqGGE+f/k2iKuQ7c+aXpkePbuawIw6xJgASVr9+fU12To7V
			TEmS7SU8l8/ntdqq1SPb4ETUgGtr6lBndRvU1uwqWn6Pm121ZlQE
			EhuBvSXgFqNHwk1OgR3YA00WYXCU1YItESO8Eytg55XmmB5pO8y4
			nuWWoH3BKtO9sNj0mLnCmNJZxkzYz5hRk4zpmRP1/FXV1WbVqtWm
			uLTYHHXkYYZEK1ou7bD9+/Uz2dm9TUpyso3HIJPJzy8wBYUFsNvW
			ml5ZWWbgwAEGu4LZ+rG5vCks3GHyCwpMXW0dSL2HGTx4oK2XGerq
			6k3RziJo1ztNECRJs0q37pmmuqqmwZrdGtRTgPPkFxbi2xNB0z+3
			n22LW5Ol1l5YUIg660xxcYkphymjT98+ZuTwYfaXAlcBMz9NK9vz
			883ateswmFlhemb1NCNHjLDtpcmlL8pgSbE95p+tW7ehjTvNCNTT
			AlOIkm8YwZgM8P5Eu0ecIqjTBGPyljVsVIcTsCXdVK9J8YKAvY4J
			gkYMjw+aMbtSkscUYQ+YmWV9TTpmS4xPLzVpedWmz2fb4Fdh0TMy
			r55pTPEyY4btb8ygidi1gB9y2CUkpHXrNpie3XuaHGi7Qr6Sg5qp
			LzTLgrbaxUuWmerqKjNo0CCQW4VZsPBrs3L1anPowQeDZNPN0qXL
			bfrgwYNB6qVmwdcLzdp1a2HCOAirUJLM6lVrTL2/HuQbNGtg8yXJ
			H3zgASYZaRTabKtgPuBLoRoEn9u/r9m0eYtZ/vFKs/9+E82YMaMt
			qTIvif7L2XNtfUOHDjXdQeRr1qwxBSD/8WPH2rr4aK1EXYtgXsnq
			3cv0wQtl69at9gUxaMBAk7c935SWlZuD8SIhWVdUVpqly5ebANq3
			78iRPI1K10YAD4EVIV/6dEK8EmYm3UifKMSotIaA5ea36pJIhklp
			sOQm1RsvwiRe2oWts2HGeU2hL9l8Wt7X9MqvMEfMB/kWgnzT0b/S
			sC+Mr8KAEY3ZUgR/nTEjvoe0XdowtceyijLTq1fWbuTrbjR/0q9a
			vcZsBhlOmjjBDIU92I85yjXVNWbeggXWhkttcVtenpk0YYLZZ5/B
			ZgA0T2rBCxZ8ZdLSMkxSEkwnxcUg0v1Mnz45xh/0m+XLV5oq1JGe
			5gzyBYMBs279BpOXlw+yHWV6QTPdAo2U9u+6+jpLjOBJKwGcPy0t
			zYwcOdyMHz/OYpSzbqNZsnSJWb9+vfPRtoDfkvzYcaPN8GHDbP7+
			fXPM118vtsSdldUDZJxvNfKcnGyzPW+7KQMh8/pSUrhyvNXifuD5
			sKt0LALy7PE+SJi+m3DZIiFd+pJP4piuEiMItIaApenyMGJAKyg3
			WdIa9Um0SZiCluxPQq9BnwDZkoTBRY6PdBKw1xc0qatKTMbrSzFq
			V2o8+2KlnN11As99KhzNt2nYKzwJ+4bTfuES2pa9OFFZWZn9KY+5
			rOFUkm41yJGkSNPCFmiOtXW1VtOl5ko3YGCu6bkmy2zZssUO1mGf
			Y8ycyLRpNj23v1mDn/zbt2/DFQRNEmZo+DDIRuLMyc4xqSnrQeLV
			YQL2+wMwb8BEUbzTbN22zeyAqSInO9uMGzvGdOvWHSTuGljEpXTL
			zLAvj3TURxk0KNds3LzBFJeUmhTM3OgG08iwYUOttrx02XJTWVGJ
			F06F2YkBxv79+9k2FECT5rl69uxh/RRo44MGDmzyhcRzRRE3uO5w
			lKwa1Y4IyDNGn/eBncb70B//2G//A8d/XFtb88Tkk07/K+L4YiTZ
			0jGfhFmOYZUYQmBvCJiXwRvcsocSuX3QgJOtrRTarksLpg3CCxOE
			D7Mjclfkm8lPf2n6LNtgSnKg9fbwm/RxMDXQBJEBlw77Zv8DjekF
			E0RqrwaQpmLObTa0zKKdxVbTpOZHoWZMW+iqtfhJn1dosvtkw35a
			acmS83VFOMugOwg3H7ZYSiBQbUlb0mmWoGbM+rrDvrxly2azadMm
			0wfaJjXYnvjpn53T22rTZHCaJqjt0wzRvXt3M2b0KJBukjUPuO2/
			Tv2Es6FyybxJ+EXgD+BXAOqjlr5ixUqYRpZZAu8H7ZcvhoqKcns3
			cmFb5vS3HbAnb9myzZSUlFg8esNc0QJx31eG3cctqEaztgECJE8K
			SZeO98J396235oJ8Z/QuKe9T2j3z1++99UrSiaecQRIW0uV2onLv
			uKWokjBAiCWRG9thbSLhpuCXeVI6iDYdGiempHFRRjJINQUuGQQ7
			cE2ROfbJ+WbQ0jz0JK+pLaozVfPzTWBzKQbeukMlPAqDcGcb0+9b
			IN9sdLGGl9G9ezfYOkeAXMvNfJgSyuBTSGS50F7HjBoNE0ElBuGS
			MCuiD8LVGPgqANE6CkIdNGIOcuVCmxw8aACIrcymc3YFpQ5pHGzr
			1auXOejA/WGbHWc2btxs3nr7HbN+40YzFgQ7ZB+SPrR7/EvGz34O
			+lFRz4M5oBYmDCFgW2HEnzpsWMSBPZES2J2p5VIjTklNMSWl5Wbj
			ho0YnOtrjjnmKHPAAfubocOGID0d/By0g4e5ubl2EG/u/HmWzmnf
			JkmrdDkEpHML+dJP+c3Pfz7o298+8uOe5ZV9ulVVJ/fbsTOje1r6
			L6a9NvXnSKftiz/7uJyc+VmH3HypD1EqnY3A3mrALW4/SSgpDSvD
			7HvZD1MD+gO0Xr6oMSZnchcXmiMeXmByl+ebIOJpSvBhpXNdbZKp
			9mIxw/BTjKf3QORHf2JlUYQmhxEjhptSEO+8ufPNq6+9YQfMhuwz
			CGSYYvwgUGeFGvKBqEtLymBjXW5NCAMw+2HV6rVYpJFi7cKpsONy
			/u1S2HXToe32xzS21UhnePzY0aZvnz7QfHOgbRaZL2bPwaKPEgy+
			JVuyI4lXYzVcKQh06JCh1i1Ztswejxq9r0lPTbcmAtppScgUasSs
			a978+dbWzNkUixYtsTblicPHYW5zAZDCTukwW3C2xObNW0G6AUNT
			xDZo93xpUDiLgzbjNWvXmsMOPcROv7MJ+qcrISBkSfKkYydJmnLd
			dQNP+t7k97MqK3NAwNa+5oOZq/+Oogz81JnyxkvP+0496/y/Ia9o
			wAiGRTXhMBSdH4jOYI23ix2Cb1W+YTlHqzvIpic0x2yQzTs43qMU
			YBvKP/nXm0IvtEguxEALbCPqg6bfN8XmkEe+MgOWbcPyXQxiYb5r
			WqbfZB421vQ85TiTMn4M3uvogxEab7STUhOkiWAzbLxrMGOA5giS
			b1aPntAiky3xDcSMAQ7U0Va8Zu16O5hGe2xWaBoap6NRSkvLMIi2
			HuRabKeu0a5KjZLT0aqqKvEzf6udXrYFg3XbaHfFOQ4/7BBMRetm
			7cgezPgYDELMgGljPQbjNm3abF8eAwbkYurYMGuW4C8DCol0yZKl
			9sVUixkTnMFAgt9vv0nWbswZEbQD00RCYs7DVLS01DRrt6ZWzqln
			Y8eMwQvAa2bPmWcJ+IjDDjXDhw+z5h57kmb8wQvhErQpH64IOJag
			SBlcJRzsIHZbSufnAg5U2gWBRsn39NN+8H7Pyso+WeVYxx8hftz3
			bdm9qrYXFT30o3MuIgnTtsYPq9In+fK+0afoPXRw6LS/HU/A6AsP
			BDeYQg9fzqH7j67RF+R7wEPLTO7KApOKhRdpGQHTY1Ku6X3qEabb
			AWOMhzMKZKpAC+AKgIhpl+VAGG2nzhQ0nyUjapskPpI1nZggGCdp
			PFVj6YWYzzt3/gJr391v0kRLpBz4mj13numBwbVvfetIEH1P+4Lh
			3GByLOtiO3gOCs0CEuYxCXjtmrWGGvI+mPbGNjEPtWp3W9m+epgq
			6v1YmIG6qUFLXubD143NzC9mo0aPOfJwvAy6tWy7TyVg3o1Ok6jk
			e8PVVw8644xToPlW5UQjX2mtkHDejh0Pn3HuxULC/Mq1krCAFCP+
			bm/Q9m4XaSfEPc6p0CVyvi41E/62wfRZXWWS8NM+fVQ/k3vyJNPz
			qLHG1w0bttNM0Urh4JcX5BT6hR+1FhIWHUktmkRLJ9mthx12B2Y3
			HIQ5v/2xtwTzjRwx0hTDDGEXbUADT4qwuzZ1Hp6b9VqCRls4qyJS
			WF6E84xlrjHjSNQ0e3Ba3TeLFsN2XWn2mzShxeQr9avfKQhIJ2xg
			dmgu+bLFNEfk7tiZjoGH61954WkDEn6okStRc0QjwHRUdIcTcIML
			A/lmLywH+eaZnHV1JmVkjhl0Cuyq397XJPfOxBJl6YsNSsXEAck6
			FaOJlTBBcGbF4MGDoAF3A+lVYJCuFgtAsq0poqWNpQ03AzMs3KvY
			WloHCbxX7ywzftxY266Wltf8nYaAdPhWk6+0XEjYk937+peff8Zz
			5vnWHCHJbl9J2I1GB4d3qVPNOzE7yF7ZgAthgviT2WCKautN7/lV
			ZuxjRSa3rNoM/cFgM/C7Q01G/24O8bo0veY1reNz8Wc+p4KtXL3G
			ar/cdyIF9lgO1A3dZ4gl5Ja2SswdonW3tDzzU4um40uiMa1+T/Wq
			CWJPCLV5elTynXL99YNPP+377/WsqGzS7NBYawIYf9iak1W1Nb/g
			0bMuuPRB5KM9WM0RjQHWwfEdrgFzIlewxm9yZteZcc/VmnGT+pvh
			p2BAa1h3a2rg6rCuIpwLzClgXLHGqWW4Mqw0S7WrzVo75WtviFdw
			2xvilTrU71AEGiXf00496T3MdMjJqth9wK05LfRi1eSAwuJ0TNe5
			9qXnnjIhEo5WVDXhaKi0c1yHE3AGFs19Z1uWqVtaZg66bJDpewD2
			K0jGAJV0wXa+4LasnmRJoiURu+21bjttW55P64pLBKTnNzA7UPMl
			+WZVYMCtleQraCkJCxKx57dU3WRn2SsTROxBoC2KhoCaIKKh0uZx
			7U6+7harOcKNRmyEpQPERmu0FYpA4iAgz167ab6RUIomPADmiJf/
			+9SNSBdlios52A62iT5F2ucc6d92QUBBbhdYtVJFoEkE5LnrMPKV
			1ggJ5+bkKAkLKJ3oS0foxCboqRWBhEJAnrkOJ19B2SHhknQlYUGk
			83zpDJ3XAj2zIpA4CMiYC587EjAHwZPacsCtuVBGIWGaIbjFgNsc
			Ifwg7W5u9Ymej6adZokA3KzMmkkRUARajQBJjE7Il37Sr6ZMGch5
			vm0x26GlLWtAwi88Q5uwvBRIwmyfOGm7+xR9MAMoAPeoOxLHF8J9
			6I6LFkae7yN+XLQ0xmEq5U+RJ4DB4KMbyxOj8UPQ9tXNbRsBVlEE
			FIGOQ4AkR0Kz5PuDH5zwv72Z57u3zQ6TcHbv615/8dkpqE80YGrn
			8sJo6jRnYZ+Sg5rK0Eja5SDYwxtJ48KmC5E2BwuTzm0sTzzEKwHH
			w13Ua+gKCLjJzMvN1Em+2FQne2/n+e7txZOEcwt3pvft1evaN16y
			JCyar/ADfbZ/NwFB/g6rLh9GQrR0KIPeu+G2wG2Gu4X54F8P/ziU
			vQ0kfOpulRozGmkDQcI/Q9pZcOH1Csg/A+5C1PEV3AqEz2B5aMrf
			gvsL3J8QvxHx1MKHMg3H19Eh7ln4bAO83duF9Evg/s4yIcnCMXe0
			6gmXifATKMe6P8JL51DJhOOT4ebCzUH6aRLfHF8Abk5ezaMIKAKt
			Q0DIib7nxBNPTDv2uKM+IvliiTE1zk4XH5au9y/cmdEnq9d1r059
			+hw0iG0VbV3aJ9chx1zy/k8cJIN8LgtHhgIgo2tAoiciz+FwkxF9
			AfJdgvDzCM+Bewz7lnwUyh72UO58uBexsdQXIOIqkOrx4URjjkCY
			dZyFum9F+Am4FOTrDfdTxBfD0WyxEue6Gz6FZP47uEKkvdhYu9AW
			ku2lcPZz6Cj/A4S5BWsJwo/Bz0b5E+H/A/678HuH3PM49wuo/2Yc
			XwLXbAm/WZpdovGMzuciGk/XFEUgkREgeVmF52fXXn0t9hDNLenZ
			zdA1Jnigg4O3bN+N9BrLv6f4TQP7gSeCe6ovA19a4e5pJElR0Ojb
			XQSinMOPdv4Un916DWl0brkCB9wOc1Mo8hH4NCk8BVeBcgXwy+Ai
			5UKknYfIIMjyVbSZZaZLJqTdifBqEOZqEONFIOhjkIdbveaBGO9F
			WhBpv0DaWoTlGuaC0G/CMeVFuKjtQh3Uqk9A+deR5zQcvwCf3/I6
			F3H7wl8PfxnyXAlHO3Y13Fyc9wE4roz9K8rcg7hmSVsScLNOqJkU
			gQRHwLPwm8Wv/Oq22x4DDpx1YB1+0tJPw8NLnxpdyscfTHsL4TYT
			1Ok59vgf8Cc9Ny6pA5HZjXngc3MefCSmjmRSc845p6fDF6Km36Ry
			RU0VxDMdjhrnl3BWUO9QkBW1Sjlehzb0keNoPsj0KOQZhnJ/R334
			xkAgG/WQALk3K9vHLVdX0Q/JeuQ5EnkWwnHwS9pagXq44fgY5kN4
			Pn3KHto1FVlOhpsONxl1X417Mxy+F+0JXwvSMlHnNNQ1HP5MHFtB
			u7/ES0MO9+g3P+ceq9IMioAi0BwEQL5bQvlIENaB/OjXw/np48Gm
			3x4i9ZOEeR57Tpyfx0wLTJ362s7QiYXMQoeNeyCeXyP1PNR3gCvX
			EhDqIDkGUY1C+hdyHM1HngsQ/xRI7AbkvRH+hYjbCfKjtimCr/OG
			BV/lNdt5hHz4YGRY+qJ8PxzlhWN2BRptF4j2JdTzA5zvRGSfBbcD
			0JTAr8c1DofrF3KDkfcx5F2L8wyWqlGOWnKzRQm42VBpRkVgrxEg
			oYkLky3iSH72s0F4mK02GjqG1+ZSi3PwXPStxguC4TnZHkvK8EnE
			dNLW5hBxHsjoHjgOsFlB+G24C3FA7RWn81Cz/MAmon6kMd4tnD97
			Nkj379ByZ4rDMU0b50pGHFOLp4yGOwREaEkd9Y/HMR1H2UjcyxAs
			4rFb9tCu1ahnM/LciTIvhMqtw/EWkOv5oePBqH8xNOPRODevcTLi
			R8DRonB2KE+zvE4lYL50xeGt0qwGtyQTwLFfiGhJmb3Jy2toj+vY
			mzZp2ZhCQIhMyE2I15oC8CyQEMME2R4tB7lYooVP0q0JkS/bIcTP
			MB3b2qKHEs/bwyCj1ShnzRc4fhbHB4GsVsEtRXwVno/34FM+QBvu
			BqnZWQyMQPgk5C9Bm+by2CW0x/4Azmq4KHc06vsG+b9E/v9D/DfM
			i/B6xE+FI/H+FP5PGB8pe2gX65mKc4xCW3leih91XQ7/PvhLcN4l
			CD+Cdn4FfyXyfoy4pUhbhWPnE+wINEfEztOcvMxDwuZbKhUuE879
			Uc5pOG6R9MEXhXfu3Gk3M2fBDHyOaNy4ceanP/2pOf98edm0qMoG
			mf/617+a559/3syZwwHX9pdTTz3VftDzP//5T/ufrJ3PgJ+Ol6Jj
			6Uc52wZnec74/Pjg6NMlu3w+VzxODdmDUz96/60v99maj6i2kY0D
			+prjTjh5Mu5rFWqsBoFY4keYpEwCJuGSfN3mkLCZBPEUeYk4R3v+
			y+vlz/JSuK0R2TkCybY0m+hBdNUgxkEoQ7xoGqiAI3n/EN6NSDsB
			/lC4dXBNtbWpdqFoVCHvUevmdRRG5BiKY16LNYdEpDV6yE7QqfLI
			I49YLbi2ttasW7fO/OIXvzA333yzuf2O2zu1XXpyRaCdECChkRjo
			k+yE9EiGPOZgGH2SYnsI663HKejznPRF++Ux28M4+mxnUySG5D0K
			61kOF0m+LEhtkemtEdZnyTeiMHFdC7endjfVrogqw4fEidp2JPky
			w3q4FpEvC3U6AbMRFLyV7XfQzjjjDPPQQ41i3WMAAEAASURBVA+Z
			++69z34unmnFxcXmoosuMn374lM/Q4ea22+/vcFP/S+++MKcdNJJ
			+A5bjjnzzDMNj6PJypUrbT7WQ+37hz/8IT5gudlm/e9//2tuuukm
			c+mll5qBAwead99918ZTix41ahQ+X9/LnHbaafj+W7R+tPvZ2OZJ
			kyaZTz/91BxyyCFWM6aGXFBQsHvmUExVVZVtw8iRI+2HNA888MBw
			O5jliiuuMP/4xz/Md7/7XXxvMdsQq1WrVtnScr5XX33V/ooYMmSI
			fZlBIwjVrl4nIiBkIOTLm8K4SBK25Ih4cjBJuD2E5+R5WD8dSYU+
			2yTx7vZJO5G8R1JjnnYVmAc4xYtzcxsI+vkKRDzdILILHMQMAbux
			Ouqoo+zhihXE1BgSF4nmmWeeMbfeeqt58sknzV2/u8umrV+/3pxy
			yimWNKdPn25IPOeddx4+EcSX+S6BQd8cd9xx9uvF7733nnnsscfM
			kiVLbH3MtWPHDvOvf/3LbN++3Vx99dVm9OjR5uGHHzZ33323ufHG
			G83rr79uSktLLfnRtrwnIfEtXbrUXHvttba+qVOnmvnz59uXR2Nl
			f/nLX5r333/f/P3vfzcffPCBGTZsmLngggvC17J27Vpzww03mP33
			39+m8xk966yzTE1NjX0h8Xx8idx222227STju+5ycGrsnBrf4Qiw
			8wgJkvAYFgKkTydEjGDbChQdar9CtjyPOyzHjKOTtrZtI/aiNjx7
			UQkYVa7AM/efvai6U4py1C7mJCsry7Zpw4YN1jwxc+ZMS1777bef
			jecngEiSd9x+h6G9dcKECeaf//ynTTvggAMMP5ZJsnJLUVGR1aJv
			ueUWfCyzO77ldoBZuHChJTLJR9J+6aWXwp9x//3vf2+uueYac911
			19ksb7zxhtWc33nnHXPyyRzQ3bNQWz/7bGdg9Morr2yg0UaW3nff
			fW3eo48+2ibdeeedhufMz883gwYNsnHjx483999/vw0/8cQT9sXz
			0UcfmUMPPdTGkfD5AqIQv9/+9reWhPkLQ6VTEaAmKTeBYTmmz+eQ
			hEeFSEiP8e0hrFfOwXMK6YrPNErk+SOPnVz6d68QiEkC3p7nmFJo
			Uli8eDHXeZs//vGP4QulJsqf65s3bTaLFi2yP/ElEcZ4q0HymBqx
			CM0Ov/vd78y0adMsmc+dO9cOzg0fPlyy4BPug8Pky5/01IZnz55t
			LrzwwnAekv+yZcuaTcDUpEXYBr4cKGxLSQnHELDQvGdPqxlTu2W7
			HnjgATNv3jx7bqa7f41OnjyZUVb69etnzSPEQAj4+OOPl2Sr8fN8
			GzdsNEOGDgnHa6DTEHCTGMmYx3QkPZIhB4bo07nz4jC6VFZXmyff
			/8B8AGXi9vPPMQeM5HhXk8JzCdm6z814aY9U0Kw2SGb1W45ATBLw
			8hW02Rv7E/yrr76ysyP4s9stxxxzjElLT7P24ZSUFHdS1DDJjqYN
			+rSh0qY8ceJEM2PGjHD+Hj12ze+uqHDs+5yVQWIWYTsOO+wwOdyj
			39jHOkm01GwpJGbKz372M/P4448bkuyxxx5rzj33XGvntYmhP3wp
			uYUk7LbzutOZRqn383lTiTEEhNxIxCQ/kq/Esakk4UYFI3XmvzM+
			MY+8Pc0cjWfhtxgzuQa/1CbR9v+j08yowYMaLetK4Hkpcl4hYSdW
			/7Y7AjFJwNR2qdHts88+ZsSIEdb2evrpp9swEaFG9+70d+3AGO2k
			HFxzCwfirrrqKneUeeWVV8y2bdvsz/Ju3Tj7BWsmv/ySm4k0yCcH
			AwYMwOflU6zNmDMzKBgAsINgTNtbeeuthqtM+WLg4OPLL79sbd6s
			nwN4FNqvRT755BNDWzGFxEs7OWeNiHz88cd2IJHH1NSpsbu1fMmn
			fswgIOQnDeJxZJykob/6zRuzvjQPvPq6GQvT27v/+581pzEDzWIP
			ow+de9995thJE82U035oBode7uEKHDOHmEJc0Y2f051Jw22LAG1O
			nSqrV682s2bNsmTDObskWhLPfehElBNOOMGQ8GjL5IwFzhu+4sor
			7GAVCZKzFkhmzz77rP2pztkM1GqPOOKIBtfFOqjVFu1wFsbwnLQf
			cwArmtBmetlll1nb8ueff27J7i9/+Yv5zW9+Y00G0crsTRw1ZZoi
			Nm7caKuhzfpXv/qVDbvbSGzefvttO0OELwaW+9a3vhU+NTXoNWvW
			WPIlMdN8ovbfMDxdJUCC3I0k/zd/gfnebXea/86db57Hi/o9DNRy
			LEMkNTXV/Bx9Yh1s/+OP+bY5+Y7fmdufedYUwJwmAiWCShcdn/3d
			ziH51I9NBHjTuHywJxzVwNGYNH4o7K5cwRJoqcPPZe6oH3aYGhaA
			DTOAQaUGdc2bPy+AwacACDcAM0EAU84CGGAK53nwwQcDmZmZAWh7
			AUz9Crz44os2DYQZwBQwG4a2GMCMgQC030Bubm7g4IMPDmAOcgAE
			FoBNOQDtM4DOHK6T1wI7cAADWtyV39YP80MAmnSDPO5rxrS2wMUX
			X2zTCwsL7XUtX748nB+zGwIwe4SP3WUZfvTRRwN4Udj2EQtMOQtg
			Slzgueees2UwiyPwve99L8A0thvmkQAGEhucj+1lGrHAyyxQXV3d
			6Pkiz+8+xn25GNf9Pd5f3ufQ/eboaCpcp7+40YZ4Epof+FxxpRdt
			TEPhxn02Y3pgw3NPB6be8pvAgaNHB8bBQdlo9v3ElMfATTfcEOjZ
			vXvgulN/GJj25svsy9/GPaU9j8bigXC8p+lwJGUlZIAQy9KmBOx+
			4JsTZoeCFhu1A+JnegBzdKOmuesuLy8PkBzdcXsKY8AvgAG5FpXZ
			U52NpcMkEoCmT2+385GAMS0uwJdJXl5eg3Q34ZeVlQVg0miQ3tj5
			GotXAu7Qx5AETBIkGebCjQBJ7vfEYw8FjsFLf8jgQfYlHK1PNHb/
			3PGbNm0KXHbJJYGsrJ5UYv4NEj4G5xgPx8ENDkBw8CMZTl+sAKEj
			pUsBzgEmLleOJiAMA802WlKDOGjKdhFDg8g9HPBnvgyU7SHrXifT
			XMCFIE2ZDbDm3MgAW7QT0sbtHlCMlkfjYgIBapx8BknA1EDpc3Pz
			UehzD996xz3mXExdXL12nV2a31SfQLlGhVMY//3UU5j1M9dgM/hz
			QcBvw12AAplwJF6elyPZ9Nke1YQBQkdIlyLgjgAkls/BGRkk52iC
			B8rArGIH3aKla1xMISDE67bHQulNHo6X50Mg31cw5nE4l+Zfg3nd
			vLdtIZxn/uabb6ZhpWi3I4888gYoM5/hZX426qb5gwTME4mvRAww
			2lta+qbjTeENoh2Qb8+92owH5VViFAE89JdC49LNeNr2/vB5E/IV
			gqMG2h9keAtMDOdg1aUPA73JHJBtb+Hg8vXXX1+BQdsimNlug2mL
			U3M45Yar8SicCkfX5MwMZlRpHQKqAbcONy2lCLQEASFdt6mBikwf
			zFz4HdzXl1xyybmYAZP2f//3fx1Cvmw8Z89gEDcTM4cGYwn/I1gh
			OhPmj8lIoj1aTBPiywuDRVXaCAEl4BYAyfm40FJaUEKzJjgCQrx8
			zsTGS+LticGwn8PUsAwbKl2FeezpmAGTyg2iOkM4fxjTQTMxhXEM
			xlmexfjBdPwC4mojErGYJJSI2+HmKAG3AFSuoJP5yS0oplkTD4FI
			4hXbaibsvFfA3LAcqx1vxirPzOeeey6dC446WzjAxz1EMAMn4w9/
			+MNBsEW/ASJ+CUQ8AW2jjZgEzOtQIgYIbSVKwG2FpNajCDgI8Jki
			AZOshLDS8NP+bMzAWYKB0ruxmjELGzpljBkzxikRQ3854IeNrrxY
			NZqOgcBjYB75EGT8L7w4RqCZkUTMa5XrjaGr6DpN6dIEvKc9cKFd
			7PZlDa4M47aWlKb2AOYKI2omU6ZMMZhjG76jXKHGpc7cH5j7/M6a
			NSuc1tR+w8zE3cu4LJi7sXGlnnvfYl5LU3seh0+igVhFQMhISJea
			YiqI9we43wuwKdODWMHYD/0lk7NVYl049RIrMZMwtz4NA3Un4zq+
			gOb+V7Sb03BIxO7rlGvni0elHREg0AS/TVbCuSeLtyYsiw+wWU4A
			y5gDmGITGDZsWAD74dpFCO6VcFI/NtIJYLcxm87Vb3i729Vl2J0s
			gNHgALa1DGCz88Cf/vSnAPaKCIAoA9ilzObnQgh0RLsYAkuCA9//
			/vcDmI9r07BjmV3FhqXRgQULFgSwp0MAZBvA4IpNx65uAWgRdkI9
			di8LYK+KAFcCshzbhs2FAmwbdnALgKgDmLsZuO125zqk7R3p4zpb
			uxKOD2Fjrh27ZqdVzWvlc2EJFz7tpj2A30kg3m8wuFX22muv2Xvc
			kfevrc+FjaMC2Oq0ChpxBdzfcI1D4MgDnA1FTpAVksRCpZ0QiEkC
			xr694Q5OUkXH56KhQHMImMubuXJMOiyX92Ij9vAxyRSbnNvVZyRg
			bA4fTvty9peWkLlKjg4ag13WLHVh8/jA4YcfbvPjJydWImUFuCqJ
			6VyRh03eA1xlB63I1iPLipmOvS3sy4Er/KS+jvRbQcBCuuwjdBzx
			dzvGSR76XV2iEW93/IQ/GrbTzzGgVo69RjCzy98p96+9+gq3AMBH
			AiqgIZfh2bkbN5FbEpCIuUKKRMxBO7nXCKo0hQB/RnR5aWwP3OZc
			mHsPYG7Izi9vuLebpCnCveEJF0OIjBk9xgb5mSFulN7UfsPcZJ0m
			DZogvv3tb9uN1/k1C/7U29Oex11gL18hVDfBSlh29nLPJXXHCZxd
			xZfr4suFRENJwa+bfXEv78XChmOwXDyVdlTEOalx9Jd9GMpBOr9M
			g+1Tb8Lue9fjV9y9UBT+g8vkzlacR0xcdA4xQNiTSAfaU76YTucS
			ZRFZoit74EZOG4v8VJF7yS53S2P+ph4c2MHkVA18bifJb7hxU3UM
			YFh77uWXXx7OA1OHtflytzJuEckvP/MLH8zL87Je7jUsjvsdY06o
			3fM4XElsB9iXrLvzzjszsJFMzUfvTbsHcXzJx4MmTOLl9fF66Bgm
			w3L12hPoM5/jF9Bk2EzTcW/jknxxrWHhACJ+1WV+9vlnPaGw3IEB
			xkV4+ZyHDDRFyNQ18YkV8VOJQIDAdHnhHrgi7j1wYasy+KkvSdbn
			Z3oaEw6skSjlQ5fMx4E1mB4sSTZWjvGy3zDPz2/LcbAPO5GF5w3z
			qxX8rhy3uISt2u5LzIE3frXDvecxt5ikO/uss+1gHdsU48IHy+28
			IGC7kiotLfm8j6a//QDSSVRCXELG8lDG+oPJ9rGtbLcQL4llAF6a
			D0DrnQ9t97QtW7ak4XNXSY29oJE/LuWgAw8yWFGXiS/N9MWvwz9x
			wBHmK36vi+YI3nfipkQMEKJJXBBwY3vg8uvC3BsX21vafX/vueee
			8GeAooHBOAya2Q9xzl8w3+65y49yci9hbuLTlOxpv2HOsyT5fvbZ
			Z7aazVs2W4Lm+vw97Xnc1HljJE0IWMiVRGV6Deo3MCUj5dT3p73+
			exx2NRKOJF4hkmy82G8H8S7CS/Yi7NeQhg8IpMh3DGPkfnR4M2hW
			g5KRCfPEEAwgPw4i/gxEfCwaoqvqmrgbcUHAw4YNsx/mPOiggyxZ
			8lPyFH7ah3ZWLqDg2nraWvmF5aaEdlx+hv7www63H8KkaYFxexKe
			g5+5Hz9hvG0Dv6SMCe2GG6pgkM+2jx8EpWZMs8fR3zrabjLP5aC0
			A7/2+mv2K83UhocOHWo3YOEG8F1AhHzZl+hIVJaAPV6PyR7YNze9
			W/oZ77756l2IpyZEIhbNiHlZRupAsNOFbZFr4XUI8fbAANuNuFfL
			cJ+vxS+dDLz40/r379/pDY6lBvAZWLt2bSZW9o3FbKL/oq+/A9w4
			704G6Iip3H+597F0CR3aFna2lggB40MUE5vx8FPytPny8/LcJYz2
			W7dNVy6MH/HEqHCLvmRBuyw/htlSzYblaHpA55PT7+bDTmjbDQ1h
			tzTOOebP2M7+KYuHpjmb8UQjK6vpwga8vc9Q59NNvC9Fm/IKinaW
			PP/D08/5P1w0B2pk0xcZrOEab/dA3W7YtHOEvATo88bQJ1mkwLZ5
			AYj3TnxTMPXPf/5zJr/CrbJnBPj88KMCGLCrwSDd5/iyy+2IW4GS
			cv95vxmW+y6Ds3uuPE5ykFDjQmi7jUa+vDjGt3R3KZocWkq+PBfL
			NUW+zENzRTTyZVpTex4zPYbETViiMZK46KwGLG0FgZnsQf37YEPw
			C1976Xl+wC7WNGHRxNhu0dC4eu1M9KtFWDjxe5ixer///vtKvnJT
			m+FzMPu6667zwj6ejh3ejsPxDA5YougwOLERyy8i6UPsVwkjXZqA
			oaXpHrjt11U9+NUgD4UQa2O+EJeQFwm2gXh8XpMzuF92Tnavy159
			8dkbkBgLJCzXJ+2mz9VrJ+KlPRf2+YcxuDpg9uzZme6piQ0uTA/2
			iAB/zWFZs11Vh8Ucp+DXxGzEcXCWP5FIxII/yVjuCYLxL12agKnV
			8svGsbCZSRx2FUu2IGE+HKLVMhzprMkhFC/azG4ETHy8MLlk75Pb
			q0/fPle9+Py/r0VUZ5EwtSz2fV4X20w/FS/0o0C8H+PLKv/597//
			PRJ23kza9lXaBgE+rxgXSVm/fn0alt2fByL+Clrx7aid80hp1kw4
			Iu7SBNw23UJraQSBMOniIXETK0nT7ZjmPmaYcVHFC004e1DfrP65
			A66b+tyTVyKT5BeiFw1ITBxR62llpBCvPOj0U0C8+2PU/i0QxOsY
			+NwPBJGJbSJbeQotticEOG7z2GOPpS1ftjz9Rz/60U9AxIuwqu4m
			lOOKOhIx+x77BX32h7g1SygB4+6q7I5ASPMVonKTLB+QSNeAgMHX
			TG9UqAnnDOzXc+CA3CnPP/vvy5BRyvN8dG1NwpHEy/q5em0UiPd5
			EMAHmOlyJBdR/PjHP/Y0Zp9HGZU2RIArPF944YWM+fPnd8Nc+1/A
			LLEY4wWX4xSc8ykvZvrSJ+KOiFt6QbbjAhA+YPpJIoAQr/L5x+/t
			1aVh3nMwZ0huk/3LX+c3RVu3l23csPm+Cy654hmcsDbkZJScMyP2
			ZnYEz09HTUrCfJkMwGDp7Zid8aObb745iY6DuCqdi8C8efO4krT8
			m2++KcdMojuwj8bLaBFnybBfUGTGjMyacGK78N8mH5Ao16UEHAWU
			eIxasX5Rh1yWJeEt+eUbNmy868JLr/wvTsr9BLiSbm9IWMjWrUmT
			eLOxDPyXIN7LrrnmGi92zUvp3bs3olViCYEZM2Zw9kQFNofPr6ys
			vAVETG2A/YH9guTLlzLJuMsTMTuoiiLQaQj4kn2m94A+3YYM3eeO
			J//1OL/Qy19XJMvWmCNIvOzT1HhZnj5/wvaCjfG3MDUsOeeccy7D
			QoE02HqVfAFMLAqX/i9dujQTu8kNw5TNJ2Am+hhmoWPQVvlEEu8r
			+wh93u+WKpIoEhuiBBwb9yGhW+FLSTK9c/t0GzFiyN1PPf7o6QDD
			TcLykMmDFu1hE+JlHjfxcnvIa0G8K7B38w1YCZnx5JNPpnEetkrs
			I3D66acbDohii9kJ+KUyFUT8Nu7nQWi5zCHmve7SRJwQBMwVOW7X
			mq7H8k2JO90dbm6ZpvIlQppDwn0zR4wa/ofHHnvoh7hmIWH3AxZJ
			wpHEKw9kOgZzLoKddxm2Ab0NUxW7Y1P0DC7z7iBhu7qq6yCImnca
			LuLB/iwefqvu3nvvPRQv02kcOMUAKveFjSRi9g/pI807QSfnSggC
			psbDLSA5IZyOu6RxExzu1cBlsnsS7vfL8u5d0txluLSY6RvWbzA7
			d+604eXLl7uz7BbmMmqWWbGCKzNViEASNOFeuX0zxo8Z+cDjjz74
			fUTJSLibhIXY5EEj6QrxchHFaRhQ+wbbet6PlWvZWMGWyW0/Vbo2
			AjAhcQtXHz58kI5B0+NBwB/jBfsYrmoIXGOLOdhXYloSgoB5Bx55
			5JGwFsz9Gvg9uPvvv9+ScFveIU42594U3HhdpeUIJKWChPv3TR83
			btSDf3/kLyeiBiFhkqzbHCGkS5/EOxma0Rzg/tjUqVMHYWpT5pFH
			HtnyBrRhCe4/Es219hSsK9GFChQGT5OgEadxG1AoU3OhFf8BuOTC
			RRIxCTimOS6mG9denQ12JLuEmV+64NQXysUXX2yeeuopG+afvLw8
			M2nSJOtL5HvvvWe4ETUnknND9cjN3ZmP+w9zBzZqxZSmPsTJ9Jkz
			Z9ovbnA0npP/uXFQoktSarLp1a9v+oTx4x559KEHJgMPkqwQMLVh
			midIxlxEcThWr33Yt2/f5/E9v1H4RZEJey+SYkO4DWmka23LWE8H
			iPzCaI3fAc1zTsF9svHdRruq7vzzz78IJLwQWvGtSOUuWOwf5Da+
			vOWl3SHg4XwtkoQkYCK0ccNGuzcvPyVE4b7BNDWI0I6LkVirNUsc
			bFDml7/8peE2kW+88YYNS5r4mDJjy3FHNGrCmE5j7rnnHvs1DP4U
			5nZ92BlKsvNtbh3Iw8yZM8dwy0oVsG1assnql50+ceKExx956IFj
			gQmJlw+U1YjxsE2Cxvs6yPct7Md7wMaNGzPOPvtsS3bIE/MSq9ps
			Y+0STT7WgOV2oPgAQhqe1YzTTjvtahDxIryUf4p2docT0xVf3vJC
			ialLYMMSQviVik8++cReK225X331ld3Ckp8Qaq7gG1gGK6Vsdtpv
			ubcvHv5Gi4MU7O5o/LwQNqk2+BqzOemkkxoQMMtjOaatY9asWWbu
			3LmN1pdoCclpKSarb3b6pIkT/v23v/zpkhum/OIzYBDEQ/YGTA77
			3X777cn4ZLoPxzEJTVMaa1NpnXkxbBfJVtonYTnuzLY1de5hw4aZ
			F198MYN7fuMjur/EVzp+DkXnaihE01COGg+5TjSfmLHlJIwGjAfW
			fusNmpPhJuh/+9vfrIbq/p5cUzeYae6Pfx5yyCH2Kxsk2cbE/SFO
			fvXi+eeftx/kdBPG2LFjw8VHjx5tuB+wyi4EvCk+4/V66gYN7L8/
			YvkQJePXyWF44ALYoSxmyXfXFcRXqDENOVaucsiQIQZfIk8D+XbH
			IN0otIt9JmbNEAmjAV966aXmqquuarKfuDtXtKlk2b1pXnIEK3Rs
			oKlZFFze+sUXXxgMChlMg7J243tgjuAObhzVpXBQQSTWtQxpZ0f5
			AZhzdm4pqFq7bv2jF1/6k6dwXv6kRLR/JH5yng5b729gx0/HF1DS
			+UFUlbZBoCv2Q5r8MF84gD09OF/0U1zDHzCesgphcpysnKPCGVOr
			5xJGAwbwTUrkBzwxAXy3/IsW71qey+/McY4i37iNSVMf4mysjMY7
			CAT8+IrG5vyqlSvWPA7y/S9i2VepyZCEk/CL5gM8dKfiBfcEftFU
			wLZeo1P6gEwbiFsRaYPq2rUKjqdgoDuIqaa1UG4WVVVV3Yh+cRcI
			eAdObH8xwWe/oYu5gTglYNwVCj/g+dJLL9mBOMw1NHfddZeT4PrL
			wTdqvhxc44dAOXNCNFlXtnCQmkRjH+IMZ9LAbgiQfHds3l65bMWa
			/1x13Q3PIoPY7PgAsc+GB1dAFu9jNsq170Iw97cGdvm6TZs27VZn
			Z0Q0h8iYpzn5OqP9sXxOYgabLxWgWnxFfDO+3fhXTC/lRxQ5ks5Z
			EOwjHBxgf6GTviNhRHW+sDEqQACTuy0OXLTBRRokVxKoW/jRT466
			4kG3nxXiPOKmhN8Oa+xDnE2VS+Q0km/h5rzKFStWTb32+hufBhb8
			+UgnJEx4eGOo3YgfhCnoAxDx7/ESnYePqtZjcM4fC/Z0IVi3zwtw
			S2Q/c6d1dJjtjKX2RLt+vGv54dy6K664ogjK0quY+vkP5NsGJ5ou
			+4a7f5DnhOsaPtRI6ExpaWN4ETRe8g2TCdcdg1o90fmz8VOAo41d
			Xjh/F3NK7VeJo10MF3Hg44KmpbtosV7OH+ZgYFeQjtoNzY0F7ekF
			m7ZXrFq1+vWrr7nxcRBBFWzxsjsabXskYj5Y3Ms3HWTRDY6bePeA
			z2lH3FOyB8plI/0Y+KOnTJni+dWvfuXFdDUkdZi09LnqsIa184nc
			L8k2PxVnCeHFWg9TEx7Bmlm4v8vRZ6pwIk6eL8dxGfwS+KUMo+8w
			vgKOediPuK0lZ0LITmoIdq60tKNEJWB0/t642Hc691L07G2JQEcT
			MFRYU7AR5LtmzdtXXX3D3/EAVaNPyYND8pWHhm8wEnAG+h13xyL5
			kl3pk4BJxJkoTwUhB7b9w2GrH4wpax4snvG6Z6Agvb2kpc9Ve7Wj
			NfW2K4m2pkFff/21ufHGG+sxRdMP4p2POrh+vwr3uAoETIItp8Mx
			CbeMPh36D0fKScrsR+xDdCTgyF9UiOocEbW8JWd33yCG3cctqUfz
			KgIWAZJv4abt5WvXbpgO8qXmS01FNBaGI4/xbNXxAWQ8H65quAoc
			M8yHsRJkzAdxOx7Y9zAw8yZGx7fDvFSPz6QHOXCjEvsIcHEUFlfU
			H3HEEXVYMfo17uVUtHoJXAXub0WIfEnAlaF7zz7BcA36h/QbeXGL
			H1Oc1dI3NQlbjNucP2VNEACDGvC7OFaJEwQ6SgMOBIJmx6a8svXr
			Nnx02ZXXPoiHh2RK7df6CPNBcv9sZJ8VM1gGNOFM9D9qw9SC2Sdp
			lqBPDZgaMndGS0UcB2RyMe3vcMwPzXrwwQeTuGQc50O0SiwhQHMd
			vqLsx/RN2vaXYdrhYrSP/aEG94taL8N82Qr50ucLmNpuBV6w9jiU
			h3kjtV9qwDEhLe19JGDa4NixlYBj4ha2TyM6goCDQZodtpVt3Lj1
			00t/fNUDEeRLDZgPjxCw/GykCYJ9kIqAJViXOYJETDME7cMkYPZR
			IeG0EAmTiAeDiA+DTT6TRBxLe0egbQkr3CHw7rvvDmCGEW5VcDWI
			9BuAwV80JN5qF/GSfEXrFfK1x3hx0+xAx74j5Mu+xP5DLVj6EYKd
			L3tLwN3Q+bMAVm/8zHsNa7Bjc01o5+PcpVrgx0/0Lz7/cK/ajAem
			yW/Coc+QfEu3bNoy66LLrro/RL786ciHiw+MOLHbuU1dJF87GAef
			A8J0aeiLJF6SMMmXfZFhkrAQcRq0YeZhGsuMABEfgimIqZjEn3TU
			UUchSqWjEeAGVphRFMBSfdya4EbMZlmANlCbrUa/qGmEeK0GjPQw
			GYf6Dl/YJF72H/5yos++47b9uvsSkjpPWkvAtnOj2WKCyMZGNv/O
			ysrK7bxL0TO3FQLYCW7nwIEDH0F9HNSgZiEaBTtzHY5JihTbf/DQ
			8JcRw/SpoXo//mDay32GDkAwioB88zfmlWzesmXuxZf85D7UZx8Y
			l9mB57Hngs9zif2OlfE8dCRQno/mCBKyJWKQMDVdq/WGfEu+CItJ
			wvZdEDHz2TIoOwaDdQdheXkSVtUlcZqhSvsjAJuuefTRRwN33HFH
			EGaGbTgm8RbBicbLPmAJFj7JWMLSJ+1AHPoN8wnpSr9hnyEZxyz5
			om1Wi6C/txLcsGHDciXgvYUxNspjme8mtISd1z4I8Nm52dnpkxDd
			BIxoa0i1xIs0H4iN2ml0weMA8i3O25r31Y8vv/b/kIkPDDVf1h35
			EIntlz8b6ShC9CxHApYHjHlRjf10SQ2I2LYZcdVoT1qo7dSISc78
			OSumCWrEi/Dwr8RAzwTsIbw/9u3wYKvDJM4HV2l7BEC25umnnw5i
			7j1nNezAr2fObMiHY3+jxluDe0KyFe2W99KaFpBOPxrxsr+yX7If
			MBxpcmA/oYspYQduichFiC8PRuD111+f1ZKKNG/sIoDFDBz0sJ0c
			Pm1snOJDW5yda8lwhOMACPPJw8EHZjeB4ot5vlt3bt+W/zUG3O6D
			jc+SehPkKz8b2c/Y56S/UbuhY3qYaBFmG/jTtRx1lqJ+TkfaGXI7
			EL8D4SK4YoR30uFh34mHvRhxJfDn4+fv89OnT1+CvaDr8Skc/5Yt
			W5BNpa0QeOWVV8ywocPqMa1sZ3Fx8Ucg3+moezPwLwP+Zbgf/NVl
			703oXjHM+ybO3iveX8SXwNmBN/hC2OwP7Bd07CPSZ9h/Yk6oTbRE
			mJ/aDX+68addJjSNngCuN1zOunXr7h48eLCqDQCmqwomuW8aN27c
			P9B+EheJiiQmBCvTe9i5KewPdHZgDH2BfSMJfSFlxv/e/tRtgkAc
			bL55RYX5+Usv+/E1d1ZUV0cjX2oudPIAuR+eyAdIzk0lgk7aQXME
			20PThMyWoH1YTA7UeKn9ymCdmNNEI5Z8PTCmcQCufdRPfvITg3nE
			vuzsbBRTaQ0C//vf/7gZVT1eaOBcq/FuQD38FVMLjKn1CoGyX9gX
			OdJE6xVlINrsGNF62WfYR4R0GY7sM4iKLWFHbYmwk7Oz80Fj2WQA
			l8JpPginrly5chv2tj0cHZcPgUoXQwAPRvV55503FeakQjwE1Cw4
			l5babgU0jsrQQ2JNBkhjxxct1HZ6pAex0i+I/MFLLjr/yswsromA
			gHwxz7ewaEfRissuu+r2ypoaPlCRZoeWkK9Tr/OAuR80eQDpC3lb
			Mkfb6uH8aJ89xvntgws/ACeEXw9yZjk/+nQt8m+BW4uFABmwDffk
			jluHHnqop6n9P6Rh6jsIzJ49m/td1z/88MM1+fn5c/GrhL+UC+Es
			0QJvzullX6NGy75G3zqEy3Af2Ae5qk3m/VLDdfdB9hv2P3G8fzFP
			vGijldYQsJAwy5KIScAk3LTVq1dz/f32yZMnT1AStvh2mT/YZKjm
			2muvffWtt95ai0bbBwEd35oaSL6Io4Yind+tdVjCQpolPRCW/dDp
			jy+98Goh4IJNeQU7dhSvueKq639bVlHBuki+fIikvtaQL4qHhecW
			x0iG+UCKL20kCVsXQcR+XGs9HMvYFwtIgeEA+nYNbJYb6PD5qu4Y
			qe/GnfOwL4gHfRxZVKIhwI3R8amgenxFpg7fb/sKxPsZ8m2HcxMv
			zVryorer13BM35Iu+x/6STnuGU1L7Cvi2F9EAeB9Eu2X97lLCcm0
			JcL8VvOF7zZDcCpaLziaInofe+yxIzG6eQY2GB/ckso1b+cgsGzZ
			sq34mT191qxZG9ECrqWn6YG2Upoh+BDwIWHnd3d8HIYHxORlzBcx
			XcpnM6YvowkCeztsL91Zsv7Ka274BWbK8CckHxzWI1qMm3z5MFni
			g+8mVBw2W/gLjcI2SZht4jFNEtJGmh5SQ6YJmh1kloTMmqBJQuI4
			fY2LOdjn++JrKIdDC87B10x8/GR6V9nfA21vd+E2rtidrH7atGlc
			cbgYmC3BSe29Rl+KnFJGMia5ymCbfdEjTkwNLCf9hf2EBEvf/WJl
			uMsRL9pspTUEzDL2IYPPTsoOS3sZSTgbYRKx3SDl8ssvH4cPTY7H
			gMZAbF6TAc2B5VQ6GQGMPNcVFRVV4bNM215++eWVzzzzzCpoGVYb
			Qefnzz87UIXwTvAlHxB5SPhACEHyKuSFTKLjvaVKaPsGCHiNLzl5
			a1lx6eZrrrnhp2s3bWJZ+anPh4rHfJgYpmsL8kU1YRHyFSKWfst4
			Eqn99cYwSZg++q3MkrDziHFM3xIyfK6oE/swyw/gqjps8tOTU9f4
			QVXghejEFH7E9tZbb/U/99xzXL22Ar8YFgEJEqtMKZNfUEKyPLb9
			CrhJnJt45cUsxMs+8v/tnQmUVcWZx2932y0iBDdQk3EjLmQGgs4o
			isQwCQLuOm6giKgYRQnGfTkejx3jgpPjmmGG0Yn7BFzmqBM1zmgi
			LrihY5wRQVoBQaBRoGkWgabpnv+v+n0vl8d73e81b2ng+86p91XV
			re3+b9X/frde3br2JIO2GzR6i5X29Bg6MJ2agUZHpJPyZxyboWAB
			Q76QMROA/NHBxih0cKwPOj15qdecvC5FQMA6LJ0XBxk26Dph2TIQ
			mG7A0rWVA/UiX/5lhpht8DAIyGfCNbT+wLUNBCwLsfK/X3p2/pp1
			a9+/4qobx2j/ZPLb4CG/ka7pfJOvqghifczaSVvx0xfxb2QRqw/T
			n8OfdMLFiNde5gh/0nE8QcSESb+PiLif9pnozFt1Q4cOVdS2I3V1
			dZGmGZomTJggyJpny+r9s86ePmPEy40WgqWf2dtrhJN+9bs48cZv
			zPSLrZJ4dV5B6Iy5CnmMgCFhs4K7yApmRQTv5EPCXeWPWxDMFQcC
			VrwNBCULAwLtUlgEAgGrswciZC5U1WFdQI4MBkgY65f5t+UaSJAx
			jngGBY48DIq4GAHTJwIJDxt2yi7duu3c7bHHJi3VH1fWx+IETDlG
			xIUi33gbaYM52muO/hvvyxAqFjHWcCBcaYgYAyLsOSFtRJz6Vt3+
			2mntsF69elXpD6ft9F0yJd16hQ8T3H333U3jx4/H4p2v5Xsf6Wy5
			YcffXgukqzimGkI/k982TQpxusmThn5ofQzC3eqJV+cYxAaHhbPR
			5LFBZ1YwHRcrGNJlMxRIGOvXHunMWggErHg6PdKe+lty+m97EIAE
			IWIjv0DAGhwMAojWVj2wlR9WTHg0lCadDQwrQ1FBjMy4puYCESuM
			NjECNsI1MidsZRb6cdJI2PqwtT1OxFjF9Ge2vGTKwYgYHaxixWFY
			GBGbRUweiDq8VScCrmBqok+fPoraekT9Ipo4cWKzphv4Nt9i3WA/
			1NktlYtbvNaf2np7zUjXbu70Cfqa9ZV4vyh031C1xZf2EiD5GGw2
			0MIcmsKQMKRr5EtHDccURwc1AraO3976VZRLjgjQgenQ1rn515/O
			zmAxC4VpiG8T5IvFgiMNzogzdSDEyYw+YTdnI2NFJefrrG4jXdOU
			mVou+QoltNmc9UU05Eu7IWQj4lSL2IgYixg//TuQsZ7wbJ8J3rxj
			JVDfY489NrxV17NnTyXbckVWbviqtza4bxTp1mnJ4gc6m8VyybfX
			5Kcv2fRC3G9PWbbBPscgXfoVN/Y48VofRRe7X6jK4kp7CTA+6CDV
			eIcNnTFhPWAx8DhHZ8YZAdPJM9WdKV5ZXHJAIB2hEQfpmfXJvg4M
			BCwV5uGMdNGpA4R86QYE18v6g2kj4fi1tAEVH2AWl66tKrbgkqnt
			RsTWb9G8zGFTE1jG9O0wxSZ/koQV11lETDridtQKib4K/7XWV5fd
			euutFXzyakuT559/PrrssssaNd+7SlMPEO8CuVTiTZKsjgUSlg6r
			HKyPqX9BvLg48cafrKxvpOtnyrb1SXyA5Hp2NtjM0jGCDY9vKgyN
			9VCVIGCzls3isM6fa72evv0IWAeHTAMRa3BoXCTn4RgYDBAGBX6I
			Gr/ly0SU1hfsmnKNzS9vkDjZxv2ZyrR8xdDW1njfNEsYbUQcphkS
			xgV+LF4jYnvDDgMkTFXEiLirrOG/FdYHjBkzpuymm24qz/WTVsUA
			IbWOKVOmhE8A6cWctYm31+YqDTdmbtzsp5G8YSts01VJCzgRF/+D
			zYjXrF76F9efvhjvEwpuG0LH2xwhv1k7aCxhiJYOi9/CaK1KqqQz
			2+BEm2xuO6wc1+kRiFsUgUxFuoGAlRzNgIiTLgPFjof0CrdGlHb9
			0KlOUUnL2cqw9liYNB1BrO30TeunZjhYX6Zvx4k4WL8i4uQfzvKH
			p0ClixMxeXbS+uHDREz7XHvttWVaL1uuzeEV3bFEL5wEi1dvADYm
			diirUQvpHzbPy006WLzSPD3FLV78Ye43ZvHG+5f1N649fYuw9Qd5
			ty2xgdPes7b81mHNGrapBuu8HDfytbTUafmt/tSwxbvODYFMxGZW
			hpEq2qYjjHDjYeIQ0rUldu1SteWzNqVqO26afoJY3S2h4v5yDjjr
			q/iDESENAZuRAanylGdzv+g4EYdpCKWBkFk1wdQF+XfVigm+Vben
			NiAvv+SSSzrE6816ISe68sorG19//fUmkefHautMtTU8FYlk7SUK
			yDdYu4rjj9v41ANTDjaVFSxlHQ/ELW39i+uP365vNn1LybdOscGy
			uWdnndW0Ea6RLtqOoc3F6yXOJf8IGOFRMn5zRsKEIV0LMzDMb2kV
			pTtoRcXjUmfKMSjLNECXi0Se1pK1aoVZgoS0dR0pM6OovKshJpV5
			lfR8PeYep8Qs6i+F0I8R68ecmxkX8ac8iBYiDnPDwiU5DaF4/pRO
			JWLmiCFv3qrrrxeUdmX7y5EjR5bkq9nzvpwXXXvdtY3M9Qr36Wob
			eEOc4b8BXQOzeMOUQ8zizbSWl7z0ERx9Cc11t75l/arVvqD0W720
			NVhyAcDKsk5r1gOaYzg7ZmHKt3z4XQqHAAPBxPxxosXPgIgfs/RB
			Q8AanPM0IG9MHNhJJPme/P+suPs2StzOQJyAVcTecrVyDOBSivVh
			69P0WSxiwhApflwgYbRwshc4mIaAmJOWscLxpWvk/x5v1Wk/7e+w
			dE2b1yiq8KLNcSJthr7hkUceYS3vrMTba1i3NtUA4Rr5Gtli9San
			HRIWL2m4RvbHrREvREx/cuIVCOmkEORnZaJT/fG4dO3xuMIjYFaH
			WSHUaH7TaVuRhoAjEWa1BuHBGrynKBP/+t8rshmquM917Ho9yr6v
			+B8q/nLFz5T/Yh2r07HRPOYqXCb/bdKnKX6m3Fz5ZYg1XqU8z6rc
			qxWm3Ez5lb38FqU5Q3k/Uh1Tpb9Vvt8qLp9ifRcdJ2IsYcJmEaON
			iCFe+6MuWMUKh3lhpQnErLbb9AVW8r58IklfI9mBTyQdffTRisq/
			1NfXR3fccUfT/fffD/HOFda8vcZLOLayAUINc7lo4Wnzveb3lygE
			TD6EjpNvsUEcv/NxB+Qx1x5N0O5Kg4FdB5vrNc314tplLXrk7qvE
			w0QqL5NJJDlRalcN6qHSD0j/QXoXrQDA+jtHZPNdxR0r/5fSv5Im
			z3lSp2qQXyH9e5V1gXQQ+Q+Vp3Mb+U9XmuNUzjlK/4bKuUO6Z0sJ
			ef0FGzCyfm24YfXhjLTCCy26ufAyS9jYSG0KGxspDTpsCi9/HU44
			2IbwEGCNlnk9W1NT874+x75m4I9/HL33Pg8Y+RGtZAjEK4LfIIJf
			qLfXXhb5vq3SaRMboq9Qe8JGTIpjIyZrt22GTniZ8rBHSHhrUuni
			b0uCQXzu1yzfnPuWytkmhPmsQku6QZ0urtDt8PLzgIAG4A0iuxso
			SoOVvXT/KGtzkoI7yw2X/wDpudIzlO5ncscp/IVcPVatNFs/3qWs
			D8uPQNb3Kf1LBJT+JHQayZT/GJV3swhhmvJMayV/miLbFUXfxWEJ
			oyEXDBnTkI4ZFw1qF4/ja3WzgpywgrF47cUX+9OOP7hCHp0LxD5T
			LzvMP+Lwvxt20iknRIcd2i8af/udUe/evXUodxHu0YMPPhhVV1dH
			q1evXqKy/1elLJELlq3qZEkZFm/4U01hs3jDOl7SEadzsZuNadqK
			sykHzt0wMZwU5ZIJgUJYwJnq8vitAAENxHtFlt0Tros0BFovgsHq
			LBcBvie3GKfw4SKbHpy2NGEGKPMLvOYMGSE/0eCf2uIN6d41f1xn
			yq/4IWpDjaVVOG1+O55HbUQTt4ghI8jJLEFIjXNlQ/uVOm8sYvtE
			Eh+fNIs4WMMKYw2TJliVJx5/TDTx1VuiPft0iQb+5Kjo7BFnRWz3
			mK2orGjSpElRz/33ix6aNDG67ZabIpHvO8r/tRx7MthngLB6sXJD
			2xJ+axufAMKax+I1qzfMAyvM+XGuRsRcX5xbvAIhGymGBZxNOzzN
			FoKAyBLriHf/NxIN0HqRbqPIECJmgCJYxes09cBUBYMyncxWvr2U
			D6uMLR2xoCGnVMmUv1FTFHuL3GaSQfn3FPFg3RVLzNIzizhOzBg4
			EBLWLXPDWMQQdEPCIoa81qi9/KnFznSkC1/uEGbhfCs7VUYnjx4c
			DR12VPTcQ69GBx/SNxo+/Kyo+ubqaI899lDy9KL9eKNrrrs6Kqvc
			EF1y+/CozxEHRTvN24vEkCZzuWx0zs0hOMIJP9Yux2mbvUSBHysX
			oqWNOM6Lc40TLmGXHBBwCzgHsDxpqwjMEYEsEJmenUi1l0jkExHN
			Qa3lUp4XdHyEHH9KQZ6DWkufekxEMVV5yL+93N5y/5CapkhhI14I
			Ke4CkSmOG5eRXLAoExYxFq9Zw1id9UpXL3LE2kxKpy6douGXnRD9
			yyu/jL5p/DI6qNeB0XXXXxfpw5bJNHjeeuut6PD+/aJxV14anTZu
			UHTnf1wbyDeWKHztROVTD9ZtmOuVn7r5cxS9XDcKHGmwxiFt2o/j
			fMziNSLmZuHkKxByFbeAc0XM02dCgO+ojRYZPiV9uQbxXvKP1yD+
			SBZq/0yZRASPKf2rcjVKo2xlr2RKmy5elvN1Iv1bE/khijflsNZK
			JRCROYgJI4cwpMx4Q0NgtNG+i7eDMCJ+vTALn0aSDhaw4jaSrrt0
			ic6/4bTo5PN/Gk3+zUvRfj331RcoronOOP2MaOy4S6Ppn34SnXX5
			CdHAk/uxQmWjvASEL5YvxMq+z2FKIaGDVazrZTcMayPtDG0jvwQ/
			DknbxpZD/psNAjw2uTgC+UQASxSrd6FctlMBENOBcnPksLJykV5K
			/I0cZLJeZDxR+k8i5qekO4IwxnAVCY2/MhFmWoJzB7Muelpg7TAf
			NviOwt2mvPrib5fvPV/ezLJw7uJo0j0vRNM/+Dw6bcxQTVX8KNqu
			Kr1dxRTEwEHHVau08Gl36TDfDCmLeLHOwR7CxbJlqgSCxW83ECde
			gZFPSX+l8lmDl7WtIcDADfO5OZw41tanOaRPJhXhDlBgpNzdIq6/
			khssC686maD0HrOGrSUQMaTGOUNohEnDrkhNIuFgFOk8FNW2fHff
			3aOr7hsdrVy2KsI6zkKwfM0ChoDj3/wzAoZ4IWIjXsJ2Htk1LIuG
			eJKWu6/j4AhssQjI0n1EJIz1O1iuVuQ7BN0BTwgSg1whXfw2NQER
			Ex+ITSRcJhJWMMShs5IsyZcpCLAK0w/yszqDP0xtjtesX9pn7XTi
			zeoKtC+RW8Dtw81zdRwExMEbnlZzcB1djMyMcI2IeWpAsIYjkWKF
			5oQLNTb5E44laJAv0w62pIy5XyxzJ16BUCwp1EUuVvu9HkdgS0Qg
			lYg5B8gXIoaceSU4mMHy51uwdiFfNPWZg3xx1ja0S4ERcAIuMMBe
			vCPQCgJGcmgsT5sXFj+GN+haydq+QyL2sOZYuc3iTbV6scpdioSA
			E3CRgPZqHIEYAli5JswFh6kH6fjUhJGzpcuXtnleyofwIVz81G3r
			1uJ1x/1K4pJPBJyA84mml+UItI6AES/a/IxB/Ew5QIA4woWyRLG0
			ESuf+o2EwwH9GOmaJj7ut3Rbg2YpIDelkojd8UpSuVfqCGxDCBjh
			onGMPUgXv5EvGkLEIi7k2IRMqcfqpT78aBzH7EYQb7eiNxWtQnlD
			L318pSOFbPOmFW9+zD5q9+ebX0z7S9jSAGv/mXpOR6D0CBjxGtER
			xgIjbC9lBGLUUjQIsRBCXUb01MVLIBY2DS/EnZGwojeR/bRmeX/F
			rtfCjYGbHPWIVhFoDdhWM/pBR8ARyBoBxpm5itf/9OLvyssqTm0r
			t/4wa67ba17exujO8/cWVzZnVd6yZUsHnXzaiLfVRqYnbIoCy3mj
			qQhZkDeqnbvLsZlQVy0JvJjzEhn/SOo0uQ1am32mjtfo2GiF5yrP
			TdLsvna88hys8FPaF+MaxTXKP1aa9cr9dWyG8j4kC/sBRR2l8Bwd
			v0JppyhulOKOUJmXkF6yk+L+S+Eh8jfKn+7DAGx3eoKO3yyn4pr/
			Xfoq1bG3dEmEO6CLI+AIFAeBYFXOmj77mgP7fH/guu+s3HVdN96L
			yChZkWXG3CkH2iLzsqaKqGvt7g1rv13zG5Hvh8puT8ibEG+s6BEi
			ywsVJs3v5X4ux54Wu0iPk64WwR0l4rte7lciyJFKf6COnSB9isK8
			rv6Ujr0m/3/K/z3F89WUxxUmfrLKmKoyzpV/kPzPKE1vHWPbU147
			v1putfzHS7O0jl35HpfeUXmGyt9X+g8KHyCH/E5l/FJE/oH0PS1R
			pfs1gEvXAq/ZEdg2EDALOPrZuHFLXpvy5lHbr+i6rGoF2z6UXlrI
			t0dDfd2qfx069PRfq0W0l+kKJNn2lmDLr2ZJDpVvB1mk78i9K0Jb
			I8LDAg2iMG8m3qbAlyJMiJJjgXNEsI8qz+sKT5f/Tmk27jeZpmOX
			JwIDVMZ4+etUBuT7SYJsZ6r8z+QfnEh3isKT5d9Zjg8DXCk9Q5q4
			PysdX035qfzTVN5d1K1671W4pOIEXFL4vfJtBAEIDEEz5sqrq+9Y
			8tTTzw3pVN+lbvsSk3DZBizfHg1Lvq579KSTht2daCPkG9oqHW+/
			gi0iwsP67SZi40sk0+TvoiPD7bjC/MGFZYysVnqmMnoREAnWoBGl
			m6NjA1pCYW4A65tpDOaXZ8obf0yYrbjuibRPSp8g10lukMp8RjeF
			nvJn+jDA3yvvVB0PInJ+1/yl0j4FUSrkvd5tGQEIrWzChAe+/rb+
			2xNHXXDWi6KdbpqSKDomZRvKRb7d19cu+nrysGEXQL52kwhtbKVB
			FSK84SLPX8jNJp3IDfKbIBe+dqJwV+IT0kPpdpe/NhFOHlM5fXRs
			sSU0LSt1uoh9T4W5EUDeyEGaPnhMeSDxp+V/U2mY+nhbbqleYNlZ
			4UwfBhijevpQCKJ0B6iNLYES/XJiLo6AI1BYBOKjHL+Fmx9+4onF
			Ex94+PSq5V3qq1YkOamwrUmUXtZUHnWp7bF+4YLaZ84552Iex83S
			TbYv1lZyWTzWKY/+a2RFPi6inIqT/wkR2nIR24kkFtn9jRSOvYn5
			aOoMeZcR1rFTpTAAu+DXsbeIT5EFip+r8vgzD9lL7gDVBdkinyvv
			V0pTLf9kIiRzFE77YQAR9gs6Nkhpvi9H3WfKlVScgEsKv1e+jSFg
			5GualyI2TJ78zMJ/mvBvZ29f13VF1crikLCR71fzFjx37rmX3ifL
			EQsTR9tMWzvRG4mIbIQint4oUnlFiM8pLkxDKA0rHp6Ug3jHSV8U
			S79K4c/kZhEncvzH2LGkV+Uxh/yw0v1PRXnFNJV5i8LJFycUflJp
			DhT5Uy8SPgwgfbvyYEFPl3+Czu8j6VlKywqKT3WMKRA2Iyqp2B2v
			pI3wyh2BrRwBe5zH4MHyMsfcJetwO2nustPxxxyz3+VXXPzoul1W
			dW3oWrjpiEC+i3ZbP3/2ohfPv/Dn94iU7Ntva9QWNueB4NbKrZcL
			NwnpOCkr2LqI5E5Sil+IGLGU95WbIxeIXMceF3G+LdJ9THHd5BbK
			tSY76iBW62y5bEkTXA+So+wlcnHZVwHOdZNpj3iiYviZaHdxBByB
			4iAAEUPCEBFjDz9SLjIq/2LOnNVLly1/c0Df/sdGFc1VG7aH//Ir
			kG/n2u4N8+YsfvmCC8feJ/KFbBtUf9D45dgjAuKlAbQ1J/JVeqYc
			IL8jRLSPStcRZ6JjTD/Mh4Sls7nT0A7IkrZlK7SfPCxNS5Xlilid
			GlmKsBNwKVD3OrdFBCBfxEi4JdRCwhBxGSQ8e3Yg4bcG9D3ymGg7
			kXBV/ki4TO9gdNZqh6/mLHxl9Oix96vOBgg4sfMa5EZl5iBhyNcI
			WN7sReQKCS+V/jg1l+LLZAXzkkVblm9q1q0u7AS81V1SP6EOioAR
			MM0zv1nDSVIWMZXX1Hyxcvmy+rcH/HDAkHyRMOS748IeDQu+rP3j
			BReM5Q839hzmo6AQr0034Mdh8ULAaLN+5c1J0pIvJYiUnXwTUDoB
			59SnPLEjsFkIGPFiVUK+kJtpCsYKZnlU2ayaz1fWLV/xzpF9+g9t
			liXctBmWsE07LJy36LXzzx/LUjMjX+Z7IV9I1zZm59GdsFm+aMR0
			S8h/84KAE3BeYPRCHIGcEWiLhKNZsz5fUb9i1TtH9j5ClnBT+6Yj
			NOe746LdGhbNWzzlvPPG3qVWQr72pxvka8SLjpMvftpoTl6XfCPg
			BJxvRL08RyB7BNok4c8+q1mxsn7Vu/17DxjaXLmhMhdLuKxJ0w61
			uzXUfvXNG6NGXfprNcvJN/trU5SUTsBFgdkrcQQyIpBKwmZx2nRE
			NHM7HlW+AAADcElEQVRWTf3qb9e81/8H/YdkS8Itf7hh+S59c9So
			MayxTSXfTNMObvlmvFT5P+AEnH9MvURHIFcE4iTMPPEmJDxjxmf1
			a9esnXZ4ryMGt0XC4Q+3RT3W1c5f8vaoURePV3npyNemH3zaIder
			lcf0TsB5BNOLcgQ2A4FUEqYo4pKW8KczZi5fv279tH4H9RvSXNVc
			2VSZZokaqx0WdV/39YKl74wcefEdyp+JfLGAnXwFQinFCbiU6Hvd
			jsDGCLRJwp98OmN544bGDw474LDBTaLgjeaEE+S79Kv6d0eMvPB2
			Fd0a+bLMzFY7+LTDxtehaCEn4KJB7RU5Alkh0DYJfzJjWdOG5g/7
			HXjo4KYqaFiWsMi3S233tUsX1b838ryLbtVyNiPf+FIzW3Lm5JvV
			pSh8IifgwmPsNTgCuSLQKgmzVnj6pzOXVm5XNe2QnocMgYQ7L9tp
			bd2ile+dc+5F1dotbG3iJQtbYoal6+Sb61UoQnon4CKA7FU4Au1A
			ICMJq6xmSPjj//tkyZp169848gdHnrG4dskLZ4248Ba9ZbY+8Xqx
			kS8TxU6+7bgAxchib+YUoy6vwxFwBLJDgHFpjp3T8FfJ4UebI6yN
			1CoxpCDsKLGtJBYvxBvXPu0AQB1MnIA72AXx5jgCCQSMgNFxEoZs
			2WoRXZnQ8SdZiJY/1SBgtL/hJhA6qjgBd9Qr4+1yBP5iBcdJOE66
			+NlLAkcarGBIlz0mjIDx+2oHgdARxQm4I14Vb5Mj8BcEGKPmsHSN
			cCFf4i0sbxAI15aVQcKEjZjR5uR1KTUCTsClvgJevyPQNgJGwEa4
			NuUA+eK340auEDAOgYCNhO14OOA/pUfACbj018Bb4Ahkg4CRbFzb
			1IPlh2BN8KcSb/y4pXNdQgScgEsIvlftCOSIgI3XOAlbXLwos3RN
			c8zJN45QB/Gnu3gdpGneDEfAEciAQHzcmh9tJGua7HF/huI8ulQI
			2MUrVf1eryPgCGw+AvFx7IS7+Xh6CY6AI+AIOAKOgCPgCDgCjoAj
			4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgC
			joAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPg
			CDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAjUCwE/h/W+KHAb8MF
			9QAAAABJRU5ErkJggg==
			</data>
		</dict>
	</array>
	<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>neatoLineLength</key>
		<real>0.20000000298023224</real>
		<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>2014-11-01 21:30:52 +0000</string>
	<key>Modifier</key>
	<string>Dirk Dougherty</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>40</string>
		</array>
		<key>NSLeftMargin</key>
		<array>
			<string>float</string>
			<string>18</string>
		</array>
		<key>NSPaperSize</key>
		<array>
			<string>size</string>
			<string>{612, 792}</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>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>NO</string>
	<key>UniqueID</key>
	<integer>1</integer>
	<key>UseEntirePage</key>
	<false/>
	<key>VPages</key>
	<integer>1</integer>
	<key>WindowInfo</key>
	<dict>
		<key>BottomSlabHeight</key>
		<real>478</real>
		<key>CurrentSheet</key>
		<integer>0</integer>
		<key>Expanded_Canvases</key>
		<array/>
		<key>ShowInfo</key>
		<true/>
		<key>ShowRuler</key>
		<true/>
		<key>Sidebar</key>
		<true/>
		<key>SidebarWidth</key>
		<integer>230</integer>
		<key>VisibleRegion</key>
		<string>{{15, 41}, {475, 680}}</string>
		<key>Zoom</key>
		<real>1</real>
		<key>ZoomValues</key>
		<array>
			<array>
				<string>Canvas 1</string>
				<real>1</real>
				<real>2</real>
			</array>
		</array>
	</dict>
</dict>
</plist>