<?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.OmniGraffle</string>
		<string>137.7.0.106977</string>
	</array>
	<key>AutoAdjust</key>
	<false/>
	<key>BackgroundGraphic</key>
	<dict>
		<key>Bounds</key>
		<string>{{0, 0}, {720, 540}}</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>0</integer>
	<key>ColumnSpacing</key>
	<real>36</real>
	<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>{{147.125, 325.5}, {13, 16}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>ID</key>
			<integer>206</integer>
			<key>ImageID</key>
			<integer>65</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>
		<dict>
			<key>Bounds</key>
			<string>{{144, 324}, {18, 18}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>ID</key>
			<integer>210</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>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{201.125, 325.5}, {13, 16}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>ID</key>
			<integer>209</integer>
			<key>ImageID</key>
			<integer>65</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>
		<dict>
			<key>Bounds</key>
			<string>{{198, 324}, {18, 18}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>ID</key>
			<integer>208</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>Draws</key>
					<string>NO</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>207</integer>
			<key>Points</key>
			<array>
				<string>{180, 333}</string>
				<string>{234, 333}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>0</integer>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>FilledArrow</string>
					<key>Width</key>
					<real>0.80000001192092896</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Class</key>
			<string>Group</string>
			<key>Graphics</key>
			<array>
				<dict>
					<key>Bounds</key>
					<string>{{124, 244.5}, {13, 16}}</string>
					<key>Class</key>
					<string>ShapedGraphic</string>
					<key>ID</key>
					<integer>201</integer>
					<key>ImageID</key>
					<integer>61</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>
				<dict>
					<key>Bounds</key>
					<string>{{117, 244.5}, {27, 16}}</string>
					<key>Class</key>
					<string>ShapedGraphic</string>
					<key>ID</key>
					<integer>202</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>Draws</key>
							<string>NO</string>
						</dict>
					</dict>
				</dict>
			</array>
			<key>ID</key>
			<integer>200</integer>
		</dict>
		<dict>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>197</integer>
			<key>Points</key>
			<array>
				<string>{126, 333}</string>
				<string>{180, 333}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>0</integer>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>FilledArrow</string>
					<key>Width</key>
					<real>0.80000001192092896</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowConnections</key>
			<string>NO</string>
			<key>AllowLabelDrop</key>
			<false/>
			<key>AllowToConnect</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>196</integer>
			<key>Points</key>
			<array>
				<string>{126, 360}</string>
				<string>{126, 288}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>0</integer>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>Pattern</key>
					<integer>11</integer>
					<key>TailArrow</key>
					<string>0</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>177</integer>
			<key>Points</key>
			<array>
				<string>{72, 252}</string>
				<string>{180, 252}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>0</integer>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>FilledArrow</string>
					<key>Width</key>
					<real>0.80000001192092896</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowLabelDrop</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>195</integer>
			<key>Points</key>
			<array>
				<string>{58.625, 162}</string>
				<string>{49.625, 126}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Color</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0.501961</string>
					</dict>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>Pattern</key>
					<integer>11</integer>
					<key>TailArrow</key>
					<string>0</string>
					<key>Width</key>
					<real>3</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowConnections</key>
			<string>NO</string>
			<key>AllowLabelDrop</key>
			<false/>
			<key>AllowToConnect</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ControlPoints</key>
			<array>
				<string>{-18, 0}</string>
				<string>{9, 18}</string>
				<string>{-9, -18}</string>
				<string>{9, 36}</string>
			</array>
			<key>ID</key>
			<integer>194</integer>
			<key>Points</key>
			<array>
				<string>{126, 288}</string>
				<string>{90, 252}</string>
				<string>{54, 144}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Bezier</key>
					<true/>
					<key>Color</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0.501961</string>
					</dict>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>0</string>
					<key>Width</key>
					<real>3</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowConnections</key>
			<string>NO</string>
			<key>AllowLabelDrop</key>
			<false/>
			<key>AllowToConnect</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ControlPoints</key>
			<array>
				<string>{18, 0}</string>
				<string>{-9, 18}</string>
				<string>{9, -18}</string>
				<string>{-9, 36}</string>
			</array>
			<key>ID</key>
			<integer>191</integer>
			<key>Points</key>
			<array>
				<string>{234, 288}</string>
				<string>{270, 252}</string>
				<string>{306, 144}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Bezier</key>
					<true/>
					<key>Color</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0.501961</string>
					</dict>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>0</string>
					<key>Width</key>
					<real>3</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>Bounds</key>
			<string>{{306, 303}, {13, 12}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>ID</key>
			<integer>189</integer>
			<key>ImageID</key>
			<integer>64</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>
		<dict>
			<key>Bounds</key>
			<string>{{81, 135}, {18, 12}}</string>
			<key>Class</key>
			<string>ShapedGraphic</string>
			<key>ID</key>
			<integer>187</integer>
			<key>ImageID</key>
			<integer>62</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>
		<dict>
			<key>AllowLabelDrop</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>174</integer>
			<key>Points</key>
			<array>
				<string>{301.375, 162}</string>
				<string>{310.375, 126}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Color</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0.501961</string>
					</dict>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>Pattern</key>
					<integer>11</integer>
					<key>TailArrow</key>
					<string>0</string>
					<key>Width</key>
					<real>3</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowConnections</key>
			<string>NO</string>
			<key>AllowLabelDrop</key>
			<false/>
			<key>AllowToConnect</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>172</integer>
			<key>Points</key>
			<array>
				<string>{126, 288}</string>
				<string>{234, 288}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Color</key>
					<dict>
						<key>b</key>
						<string>0</string>
						<key>g</key>
						<string>0</string>
						<key>r</key>
						<string>0.501961</string>
					</dict>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>TailArrow</key>
					<string>0</string>
					<key>Width</key>
					<real>3</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowConnections</key>
			<string>NO</string>
			<key>AllowLabelDrop</key>
			<false/>
			<key>AllowToConnect</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>144</integer>
			<key>Points</key>
			<array>
				<string>{234, 360}</string>
				<string>{234, 288}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>0</integer>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>Pattern</key>
					<integer>11</integer>
					<key>TailArrow</key>
					<string>0</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowConnections</key>
			<string>NO</string>
			<key>AllowLabelDrop</key>
			<false/>
			<key>AllowToConnect</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>116</integer>
			<key>Points</key>
			<array>
				<string>{180.5, 360}</string>
				<string>{179.5, 216}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>0</integer>
					<key>HeadArrow</key>
					<string>0</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>Pattern</key>
					<integer>11</integer>
					<key>TailArrow</key>
					<string>0</string>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowConnections</key>
			<string>NO</string>
			<key>AllowLabelDrop</key>
			<false/>
			<key>AllowToConnect</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>102</integer>
			<key>Points</key>
			<array>
				<string>{72, 360}</string>
				<string>{72, 117}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>2</integer>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>FilledArrow</string>
					<key>Width</key>
					<real>1.5</real>
				</dict>
			</dict>
		</dict>
		<dict>
			<key>AllowLabelDrop</key>
			<false/>
			<key>Class</key>
			<string>LineGraphic</string>
			<key>ID</key>
			<integer>65</integer>
			<key>Points</key>
			<array>
				<string>{27, 287}</string>
				<string>{324, 288}</string>
			</array>
			<key>Style</key>
			<dict>
				<key>shadow</key>
				<dict>
					<key>Draws</key>
					<string>YES</string>
				</dict>
				<key>stroke</key>
				<dict>
					<key>Cap</key>
					<integer>2</integer>
					<key>HeadArrow</key>
					<string>FilledArrow</string>
					<key>Join</key>
					<integer>0</integer>
					<key>LineType</key>
					<integer>1</integer>
					<key>TailArrow</key>
					<string>FilledArrow</string>
					<key>Width</key>
					<real>1.5</real>
				</dict>
			</dict>
		</dict>
	</array>
	<key>GridInfo</key>
	<dict>
		<key>ShowsGrid</key>
		<string>YES</string>
		<key>SnapsToGrid</key>
		<string>YES</string>
	</dict>
	<key>GuidesLocked</key>
	<string>NO</string>
	<key>GuidesVisible</key>
	<string>YES</string>
	<key>HPages</key>
	<integer>1</integer>
	<key>ImageCounter</key>
	<integer>66</integer>
	<key>ImageLinkBack</key>
	<array>
		<dict>
			<key>ApplicationURL</key>
			<string>http://ktd.club.fr/programmation/latexit.php</string>
			<key>appData</key>
			<data>
			YnBsaXN0MDDUAQIDBAUGCQpYJHZlcnNpb25UJHRvcFkkYXJjaGl2
			ZXJYJG9iamVjdHMSAAGGoNEHCFRyb290gAFfEA9OU0tleWVkQXJj
			aGl2ZXKvECMLDBIqKyw0NTpFRkdIUFFWXF5maWxucXt+gYaJjZGU
			mJmdoFUkbnVsbNINDg8QViRjbGFzc1pOUy5vYmplY3RzgBOhEYAC
			3A0TFBUWFxgZGhscHR4fICEiIyQlJiUoKVd2ZXJzaW9uWXBvaW50
			U2l6ZVpzb3VyY2VUZXh0WHByZWFtYmxlVG1vZGVXcGRmRGF0YVV0
			aXRsZVhiYXNlbGluZV8QD2JhY2tncm91bmRDb2xvclRkYXRlVWNv
			bG9ygCKAAyNAMgAAAAAAAIAegAUQAIAEgAAjAAAAAAAAAACAAIAg
			gBlWMS4xNi4wTxFIcSVQREYtMS4zCiXE5fLl66fzoNDExgo0IDAg
			b2JqCjw8IC9MZW5ndGggNSAwIFIgL0ZpbHRlciAvRmxhdGVEZWNv
			ZGUgPj4Kc3RyZWFtCngBfY7LCsJADEX3/Yq71EXTZh6Zma2i+8KA
			HzAoqEyh9v/B2BbdSRa5kEPOnTBgQq/DFix4XXHBiO44M8q8HHrM
			RRmmuHK6WyORnBe0zLEng1KbQ0aiJEYWaovsIgU2EB/IWI9c0Z2Z
			1IZ8w+65R37glJcS/wRNqVCBUAp2rbFF9pZiSirwFJx+/QjMV3D/
			CYY33zYxaQplbmRzdHJlYW0KZW5kb2JqCjUgMCBvYmoKMTUwCmVu
			ZG9iagoyIDAgb2JqCjw8IC9UeXBlIC9QYWdlIC9QYXJlbnQgMyAw
			IFIgL1Jlc291cmNlcyA2IDAgUiAvQ29udGVudHMgNCAwIFIgL01l
			ZGlhQm94IFswIDAgMTMgMTZdCj4+CmVuZG9iago2IDAgb2JqCjw8
			IC9Qcm9jU2V0IFsgL1BERiAvVGV4dCBdIC9Db2xvclNwYWNlIDw8
			IC9DczEgNyAwIFIgPj4gL0ZvbnQgPDwgL0YyLjAgOSAwIFIKL0Yx
			LjAgOCAwIFIgPj4gPj4KZW5kb2JqCjEwIDAgb2JqCjw8IC9MZW5n
			dGggMTEgMCBSIC9OIDMgL0FsdGVybmF0ZSAvRGV2aWNlUkdCIC9G
			aWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4AYWUTUgUYRjH
			/7ONBLEG0ZcIxdDBJFQmC1IC0/UrU7Zl1UwJYp19d50cZ6eZ3S1F
			IoTomHWMLlZEh4hO4aFDpzpEBJl1iaCjRRAFXiK2/zuTu2NUvjAz
			v3me//t8vcMAVY9SjmNFNGDKzrvJ3ph2enRM2/waVahGFFwpw3M6
			EokBn6mVz/Vr9S0UaVlqlLHW+zZ8q3aZEFA0KndkAz4seTzg45Iv
			5J08NWckGxOpNNkhN7hDyU7yLfLWbIjHQ5wWngFUtVOTMxyXcSI7
			yC1FIytjPiDrdtq0ye+lPe0ZU9Sw38g3OQvauPL9QNseYNOLim3M
			Ax7cA3bXVWz1NcDOEWDxUMX2PenPR9n1ysscavbDKdEYa/pQKn2v
			AzbfAH5eL5V+3C6Vft5hDtbx1DIKbtHXsjDlJRDUG+xm/OQa/YuD
			nnxVC7DAOY5sAfqvADc/AvsfAtsfA4lqYKgVkctsN7jy4iLnAnTm
			nGnXzE7ktWZdP6J18GiF1mcbTQ1ayrI03+VprvCEWxTpJkxZBc7Z
			X9t4jwp7eJBP9he5JLzu36zMpVNdnCWa2NantOjqJjeQ72fMnj5y
			Pa/3GbdnOGDlgJnvGwo4csq24jwXqYnU2OPxk2TGV1QnH5PzkDzn
			FQdlTN9+LnUiQa6lPTmZ65eaXdzbPjMxxDOSrFgzE53x3/zGLSRl
			3n3U3HUs/5tnbZFnGIUFARM27zY0JNGLGBrhwEUOGXpMKkxapV/Q
			asLD5F+VFhLlXRYVvVjhnhV/z3kUuFvGP4VYHHMN5Qia/k7/oi/r
			C/pd/fN8baG+4plzz5rGq2tfGVdmltXIuEGNMr6sKYhvsNoOei1k
			aZ3iFfTklfWN4eoy9nxt2aPJHOJqfDXUpQhlasQ448muZfdFssU3
			4edby/av6VH7fPZJTSXXsrp4Zin6fDZcDWv/s6tg0rKr8OSNkC48
			a6HuVQ+qfWqL2gpNPaa2q21qF9+OqgPlHcOclYkLrNtl9Sn2YGOa
			3spJV2aL4N/CL4b/pV5hC9c0NPkPTbi5jGkJ3xHcNnCHlP/DX7MD
			Dd4KZW5kc3RyZWFtCmVuZG9iagoxMSAwIG9iago3OTIKZW5kb2Jq
			CjcgMCBvYmoKWyAvSUNDQmFzZWQgMTAgMCBSIF0KZW5kb2JqCjMg
			MCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9NZWRpYUJveCBbMCAwIDYx
			MiA3OTJdIC9Db3VudCAxIC9LaWRzIFsgMiAwIFIgXSA+PgplbmRv
			YmoKMTIgMCBvYmoKPDwgL1R5cGUgL0NhdGFsb2cgL1BhZ2VzIDMg
			MCBSID4+CmVuZG9iagoxNiAwIG9iago8PCAvTGVuZ3RoIDE3IDAg
			UiAvTGVuZ3RoMSAxMyAwIFIgL0xlbmd0aDIgMTQgMCBSIC9MZW5n
			dGgzIDE1IDAgUiAvRmlsdGVyCi9GbGF0ZURlY29kZSA+PgpzdHJl
			YW0KeAHtWUVUXN2axd0JIUFCYcGhCnd3gkNwKaCASqAKKKjgLimC
			JLi7EwjuBAkECEGDBHcJ7hICNO9/7/Va/ffqUQ960udOzvl07/2d
			de/gsjIqw2HuBl4uEBAPiBcoDlA21TV5Kc+loKmpJgIA8YKAQGJW
			VgU3CNgdCocpgt0h4gAQiI8fxAcUJWYFKMBdvNygDo7ugFJ+IFAA
			IOfi4gR5sDq7eLhD3LgBajBbXgAYZgeAuiMATlBbCAwBd0NwA8BO
			ToC/8hAANwgC4oaE2PESg0AAO6itO8AG4gCFEfP9A5gazB4OEPun
			2c7D5d8uJMQN8QAHwP4XQI6HGmA7OMzJC2AHsX9I9HBy0gI7QwDs
			f7H4b26wM9TJ618B/0IK0ITbQdxgfw81gvzFjV0fBnbRd4S7/92v
			5g5+ICUHc3ggzQMS5AUK/hMBFKEM9YTY6UDdbR0B9mAnBOSfdkPY
			QxcnKAyiA0dA/yEoAPg3h4Ej1PY1DIJA/MsDedDub+weZPkLPN9/
			GdVfzHXA0H8O8991/z1cwIO0f0nzkKwJdneDegLMgLxAIAj4EPnw
			/OfW4m/dlGC2cDsozAHALyQMALu5gb0ewkEPJyGADwgAfeDjCYB4
			PrDk44XB3R96AB4m7wewh7sR/2NeIAAf9B8W4v/OQV4e7gnwAQJ4
			+IUeKoJEQAARIaDf/9Re3/3hFoHd7P4Tz0MrAlsPNzcIzP2vS/Mg
			FPG/zvbQh3FAIJ4QW+KZKbitROirlPRU9yrq7K/fFY1bXzRnCeO5
			cHsGMzuUXb03CY+1vebHtSN4PTnLqIKizFB7hpHvcxoO57Dbnno/
			EZ3tpG7ZzWx4RSGECGIJWX6dFLmtYQUoDc7ZNLLzEHqcXB4Fy5EV
			MjeUP0mezv/EXh6/g+u6POncgXb5LePXTXb38l4VMdbk+emJRoqP
			gbONezKNit8BRY8yc1dg21weuZsNkqwHYc8/VgCV9nLNkOiROhfA
			fV/IM/TizPBjN+VFdU8LywevOWEM1pdBYEPOx4684sJYHV8yjWgZ
			Yp+ImB0+C+xB6mBwDpQGB2fGVi/TIN0IdGfUKgqIU7Elr2MOKURW
			O03fyILUkeqVLo9S4ZG8VNq9HNoW2HmtdPWy4m4h9/2kYqdtZrgT
			lFYTNKpGc4kutpyns0ix0m45b1Sgx0Ck24lyN73k0dwsaoclrUUj
			Pj9uSdIf8/fr+TVGJqJbyTlJKYoB5Y0vVr9mzI8QfjqTSx1Gl3me
			LTMUcrXmjCY2WzQl+4/YJNxHnoqFzrIk5h7NJdQEsEoryA41f9x3
			O3uhyclL1RgRxrjKWvu96V3c2jyy7+XrsCf7dN/80HrM/5jHjOBN
			mA906NMX095mKRwxrQzW9WUps/fgMrM4IwKu/aXXCPixz51DIncI
			TBR7c0tKGX9opfW8uAqyz7Dw8RWReis92liAH4m8MjsQ2g+KHXeu
			Uz38g+iI7mI4e4fSGNbHXFgXhVIWl6wsoUNYwkevxoJ8bsG4xTw7
			Ukyhdz1MZTOU9eUpFhNXHMrWYpLeF3S3RYZ/QqnFYLiadAYTqMCB
			FAFX7XsPdiupEsyfF8fwyxiCbYSpMi3ZnF2KYT7rsYeKd/WCmFbm
			ca6DnRfuUwlWFpbxxYY4jLtyvayiEApWxXkLZcMDZtKvY34mAphI
			HR/fsz0F71/FwSJzDW85Dd1sGw7ySw4Cvg5ZlpTmxLzg72WzgYW2
			OnX0QbmziVwx55YmiFeGSvDa/J4v1povy1UG7BQUpTU2MABb9Ynd
			OdY02IyFVR+N9LrQJFHbEwfO43FcaMRR/Epk29lpKh7hwPHlEL3T
			WBhmv6zU2CsvzZPTARHoDj6JIsHBtKYasMBQ3dEonWS5vicEEoS8
			qpElY92K66LeYNPwj5d6k7cW08yedOn7PJgFa/AOsz1M2VgVZ5K5
			1nW3mmdtQyvGQSrlxWXtkUZKc3DMzHIVYrLWYnEseXTGMMcx2x5W
			iPFLViaf1hg74m7H1W85Oc2iWOSAVCW0Wnt6KVKORJ55elqYq9Xv
			kpa+gKEhng7YMj7m3b5MNWKLc+1Ou0nCdtQhDDv8Qxrc5aBEVqOX
			ADmU3mOu97vgx6gHZGgog5X1VjuF+0pGY0/4n/Qcm8v2n7DzIX0h
			1F8uqnDPHWUn5GZoNguV1XMgvAfLGJYnJjGqJUW09BD9Nxxq/ZvD
			owM3pI+KCaR0u/jPOTHe6YAsSLMwZb7ktiWsyfCNSC2dK5/DcDAV
			heLP1pavnH5XCIZdRsNScbSYlNMFvYSPVIDQg/OpjiKKaz6pZEdP
			Az5XLYuMnkDST4c2K1Sr8krOnI3NGcGJFw5PU+P/rEhLUUkcIieP
			KnvSuGEkSrVbAz9nMM9W4FiW1m2bi1mExM8vDokpfNcpyVP85UKU
			bY4Cox5bf+8zviiII1euN1V+HM3kO3MCtlfiSWsNFGocPp+3zrZw
			x0dWjxfRDu62bzyb3aM0N7QTxAurRyVYhAy57Op758kM3ScK8K0y
			iE3LkBO6fuCNkdTTTl0jfWW1WofKtEMvVOeQE9K21y24fQK7wDKW
			l0kp0T3oBM5U74zD2ZBcpsfYx/5VOuOfcFW4OLtYFDOtXZeJ1cW8
			APkyqdZ7YiEl28qAWT2UFdc9I8uExloB+psocqzqOAj0jl+AkCcJ
			xxS/WVzS4K63dqsjgatmd4Xt5tKgzRu+kV/xhcws9IWYy3lE7qGG
			W4C4YLn0ABYXkNNrAjIv2NZ+aP6OvJlDu6jAd+98MUY+IV2GSMIT
			e9h8XwEfFZ7eMQFCOtaNie4TCULYI/vZmnMPx5JXr3K7WeqiHzlV
			d39f4gxJPw+y5GXneV/LGHD93ajOewlCdsAygU2NobT16NKh4NOP
			7Cm6sYDWd1KIpPSj5cPlQ5o29s1XPNzqpVbHf+TTjQJC2mumGv07
			3eo3NILG7aKzNDzO8o0cFXhXeJ+G2Qge+hJfWVdH6F5ieKyjp+RH
			EDsvPjJOXRNuI4joVHKmOGII3cFR4s/EIWlu7iSMHvHhZBldlIBl
			uz29QbMnoDIhJ2fbJoXcqYM9xNuXPgiQIet9I037fVwN2lgtBTfS
			PlIXdT17xSbh6PMtrEww+0r7euSg6nChSiZnfugE9YvNPh1Fwr8K
			zVja+pHk7xyuiDN+sq9XGTJ92osv0HuVsl22UGDVNLd7TB57T1tt
			Mug0Wil4XrwuSKZAZZUz7L835nTScn1GRJhrMV2CqA3dOxh3qDa+
			Jzs+HVpP31tLfVREPrg+TOGb1+QwY+gUFEk3SEG8ii/PWv8KU1or
			r3KoL8prTtFnpS6WfWGq2Gn2XUViJINHM9vUCdnVW92RJ3NK4yBR
			limE9KVugPLTJ9AIER2cAXkFNVGRuotD6lHZTacC5oPqaJdnqmn8
			n7Gx3cozGY6cwr//7NbQ7UXqYhbWZ7f8nC5q9D3F4ZOfu+z0VfWP
			PvwcNeHZLPCDjck+dDoBVNT3RStaZpWDxuWg8rehhSHNH47ZPBIR
			9UPOdRMJzqOD53w//EmtUcD4xFmt40+9FHSJBiv38qvCWQLbnbpe
			PGqHcAznPRNXtOeuwbvdq9e+7VY0RMFdfSL0WgFcyomJP5P8/KXG
			qyrSNl1+5s4z/Z6AUyOH61Jjstrdr1/5hrD/VrTvawi7NC0LMJuk
			iExopLukta02tf+ZkcwKmRihoqqIsPbApRkTqxLw3RwVm+W1rbr+
			tZ0UF1uf1et2H1V7faa2qfnkOOqItlvN9a5OPanGqdpb/beyVIWl
			q+T0QHB3pK7N4OZLut5n93EjkCdaKU4a65YjIHTKfKqfjQp0eDt2
			UvwpMaMrLAl8L76mftu2oMyLRnhQNANXNn9ynxx5td4twplWoui2
			YZaYBQJx8PycdJ0JfiFUcBS7mV6N+dknrj5j09UriZCy8t+VkBEZ
			Zm6zlteR66fVH+NRlj8PPfA+sHvrQWmGkpxPP2joR78B6TBQPakn
			07lSq/twYpGGsnTmZkQNz8Ir9MfSaDYCGm4YCywkx9OHvJ7ozVsi
			6tEJhDJJ4GroNvtauOinx63GWz56r3h60AC4B+ahGd8CViqSeB/L
			xEu9ZTA67yL1TQiDWpdMFWs8Sye4JVHDM+9/35DO8Gpw96eNc/Jn
			zPYjwGF2Vth9Tkk8lsE7M0xkNm7REruMmtJw+F5HFrPqug+hRXQg
			Y0uTzLheNk9YD1uP92kf71ebvOG4aiLz+ZqQMvFPQfdCH4PRyrzf
			t1QXxxWksSe4MgR3BDYMobXhvh5+TBDYjo+awZS/Ey2+2Yk0Qf1o
			yw23M7JBMVzu8+6IqGmaEOR8cVbj6nHuHVYKmKNP2iP7eJE8uX2V
			ce58NYU7i9VacsP4ViAaBJ6zRDqwZ1FJpEDOJcnGx5XCJhjPM/10
			HTG/oCfru4b9sSw8i3XznJtwBNZ0Jjx1Q/MzoWS56UNOjXXOMIBS
			Gd9IFT/hwY9/vmOPAlhB0k7QHXgqlFinWbbYaBWMewtljlR8nQhJ
			smt0raJ757JNhNdZkO6Xp/Fvbh67vsTBn8xypn21yxa0RNZ2VLlq
			C1xBq1XrII7slyG91D1jnaW/xRAnGqD8g6LDkhKXOkdh3rygMxT7
			RRVCpw0/k8DKmYiNi5c++NCW04ClIj5oPPbWxeGjv4LZGBi46TW2
			uDu77TYU/n3Fb0w1LIsp28DFlmqBToG/MJblTfHoO5/THEIBYCR7
			Y1dKS5RkZdnujNwm/1BVGuwFt+3XCyUI6hHrn+Zd7Bc/QMG5BOax
			sXg5kdBmnKcsTDxKdUqCVAftHz0y+daANniXLb7LucuzStdBYk9/
			ycqRMYdhVlcR+iYu6m8lBozfYZvhMBLUuNBu7I7iynXRLGvT5ih+
			eqnbw0DlGjq9TVSD7LukOrZ7Hsse99tzdU/Gu7y4qRBrDeVgfSD4
			Qe+4H2zHzZok8CvoUzu70KvAcnzamLos2qhVHXAo3ljJ584exo/9
			pdtqi1mX0aEctoFy/Pg7llubyVUvJeMzaisiGxwvfEuJPl9hoNdm
			b4qIHDo8t0mjsDzTGpyNyxEQVKxkyLtbtEp4y7K1Z+yeBrfmND6O
			ySyT1HhvFulRfD9lRMbs07Q13COLIMCLcryWN7i206mxR34+OnlV
			PMcxE5Yr/aS0mcyLIHwc84VfEoUShztyY32F8yD22P/Cs64mRuKz
			qgkJ7HEo0md0ACd3lEaTWXxPlHyzSKYumXO+mgUTjSMN0T+ivYF0
			xECUfbuvSuC+TiMIEn4k3xcgusPqO3NQ8dFcO7DF4LGLw6lf5qAx
			5JabruZdZbO1iyJiibIQoUNinJA9PPxWA7pzTy6CvTrMy/g0JQX2
			Ipo5mq9xiZOBarfIfVF35iNMsgHTnSYLKPWKwLvYPqnKcNHv8iN+
			SN1xAiHsG++BLjidw0+BUqA6GPrtd34LEKWEEf+KttXchK1p/fhG
			X+vD2WOi2H25rls+srrpO76ar4ZRkV7wWU06fUBlfsWjL1v0CpFf
			SarK2Ftms7Espt4ybuSikonbJEElpKd0MLYKXNDa8nPlKeUffbYn
			2feteLqZN+RHmu1m84cldXfh5mqXptaX47GbvhJqN+2Z+LpiNpct
			S7s13Hz7Ul/TVqzTewI0sc1YQZ6JJaXm1tdKLQzrht9FdXbztqQX
			hKLe9xuap6UNWHDFexbFxc7pGfDb/hb9Yna7Ucwsu8p6JDa1Fih+
			Uk4OdlzJzpLfMsDAVl31mjlhSfK9iuL8iYh6eeGnBjLHshIhtOdp
			0DHg8gluSmh7Y4PxQ+yweITwXPib37ZV64oYBajXCg27NNFpIY3H
			3bDbeeI+qGc5AJYEaJpulzebxZRgYRS6nGJKdeWKvsFWNqxOx97o
			Tdktjwxt6k64NCX1YVqcdFGPuocTW6lT2HqdsBCyftbE5iZ/eHN8
			UYH5/QK+S7ZOY/YqCcMpFvcOozXFx349b+zPaHE/Iu4vkqFpdzKT
			qru30M/7zB2dzyz96hNBECH1epdHeIKj1aDU72wu0ce6E+XYW/BT
			QpG7FXWn4sL5JE815TKuHj4xpeyteAI9npdi4gxfMEx/Qaa+Ya/r
			plok1ZfbR2C4lXJCvMlgLQbaZu5c7KICeo74exnEIQlQJxMd+kod
			LdTORZrzgjjHGo79b0UM8Rw8ioKoQopPY00HK8jnY9e3bXGRVhaH
			hOJyHDYnkVp1s7auWpULhmV+P9F0TT9QVkEhEcLXPF8iA+DSk6OU
			z85O0pt5Evq/RZ3Yxx1SroLXDZ4ikBuKDb0NgRagty1MKRnOe3x1
			dnaajeDNyJFZVS3qbnH6R+GgJ9+ghrEhwZY7b4Yqqp7lxl0kbxxH
			Gu4WqcYf5S8P6LSffG0zh7GpCuK/O9kmWtGMyb7/Mxv+sonDJPye
			WWV9W1Dd8r2kSxx4TrHpg93v/dOCbYS6z5jCiCSjTUXukkMHCL0l
			3PVzsnduJw+BtIrGB51Wd2+6vOsbFst0fDP766GIzMVgvm0W6O8m
			K+5OzXMOg4vXho2yNCMoyxKyk9G5AM8oHJCdvILqIxpKhPPMGE3f
			lBKmINZ2IvF93wg6cXivRJR/Vb1wbfN7HfxzS2T5Fkn7Ffuqd9q1
			2HxcekrS3oZoo2T/r+53ViVkV3fh76mcr5Eqn0VwHHWwiGY9r7kv
			OHzmIQH84bhDqslZXeouKvO7CrlYvLxXZgXe6Icir2UZtvGcIaMz
			JUmPrAJ1694G16/NNrxC2BpGVsf0vFKnofv6ghz5tuM7Hf4E4die
			EvU4zxKTsGye8OP1lWSS+4ynF/b7852t5swJv2RPib9J/d5ObTqm
			ItUOsJcjB0sg8Rt49TXXsttqcE+EI04t8ZM316IwNI7MI7/5RtzL
			SaGrWl+TG9kHF45Rc6Nfvp70AidvYea7i3VyaajZfZ/QKrypQP+Q
			FWyKbRrKWyxTxlT1jEXiRC62o6Svb7u5YQwACLzCmpQKZs/FiryB
			Ttfvad8H3qa7SLXsdH+MgoUy6bRPEU2NNEfP27pW01trcnuXDgYv
			0NI5XQ/VLmcwyV4J4yQnW3SVM5Nsa/5E+r9FIch2T35UaWdluo8q
			LFQKv8wzTeZXOTdU4WJ9U5cmX3h4mYD/YQ5sxliFqWZplXb3+ZHt
			fNxyX2WQM6Cjd/DMjiN6YNnDP4uHVh/NLZYoxmm+OB3SgQ+tnKuf
			RWVj3ZOPbEm+pM1pCSQorDZYbz45S1Zd9sHoXmMVD2u+x16SIiN6
			bj4zuR7wiUx1hKVPp/P0rPC7T0jT0WG5ZHEOMekgkYlTRu50xRqw
			tVWF4u6xay0faqySPdBWe4WRv282FJM2+BYvjuvzZilm7u8o0TYW
			zcLQDq5L8bUpKbL3YjaSh5zGJ9Nh4sVcRJK0KRiG4fSpcEZ/jCd8
			kiVauoQx8+C5JQssZZUPt4fi6nE8mKX0EX33TXPxmZIzlEYFBl6p
			pv0b6/GmEWzvw/QCBHvEM5h6T5gTJt67pv+IcjGL0Vy2+LiWmIQ3
			m8Mt79qLl9/YYBdBsUIINa4VO89EqYhv09vvN1caRwvxMEmFtxdR
			jGHItSXJyyT9klhj6HdoRkdu8Ot4w46f9fuSCYJxJbGXiSbG69Q/
			FOPxfxHQ6BpHdd22sRaCs3aOCuhqUyYuxQKSXOsyv8cTATQYTgYj
			Gtr+sDJkzfUUZH8pfXe0ZFb4VkqdeDXOsrmpJ1x0IqJVkkOzojMs
			KnyNvGvs5fr0BG7ftqkXkevbtA2qOArZuOOkMe9BjD+9IzDTTTxr
			hiqW4ryAC3a0/qh0eMqV7et31gR1/n7FfLqJFtNecWaRO32gEzqE
			nlutWwiQ36Q812c/umKoanCbu5YbWkREd/IZwsqmf9ERg1EkNknp
			70F3RXKUr2kduk0dOiXAdtuTRELsoY0CL0ItnvZ2HFqMiA/4JkTU
			sdS/Wii3T5ufIJEgYmzmADSrDJyOvoZAbLzGWrJDD40+Sb8S/k1i
			E15EIiiM6hs7X+gYkK6j9Y874rMKL9f2WnhamEvem2/qiWNzWM0B
			ffrz+dXx5LD+8MeUx0ACqsEYdAzWbaBKOkO8zUL1henxnDQr6dcG
			hwy2Ks9nSJfVjxIIHpeJdi4Rp9jPJuJMtRbxhnLV/sWfiqlFCzpk
			VO3kEko2vIccblpEh42sZA1aaLFRQ791K0hy0JXKfEMcJ+fCrdZ1
			2Jt4MmgQKp/0J+VIb7t7rtMwSxuaJvEbJYVmOBMi6vONeGDziW+d
			/DT9wxn3cK8a0btBP+h12RnXthIlGUg2cwLalvn0VhfcNa1R8ctB
			NRG0xNfdWK0vosfIuzMSrg/chMySyFhJ0LMK2UGh9GnEQovvmS7S
			vW5qmzfVz1fdInWLdufG2PhvNai/YvsUt4U9LXh+tz6nvmi9diZw
			tnkbUWJjyr65XsQxsGo0+cTler2bs9y/PuwH6HlYntenoJVnBNcB
			nwQVq4aHvM7Vt9DCP5gEPTrhAJxfan4WMLp+x6qxGjNI30dzyWeE
			Nijlqnj9XI/q5WsCl3LUY3cbz9fxEg5opkhFP78k8rN2PR4/uPb8
			eoto2DuLWDSNqhVCZ1mbM9l7Fss00dq1RCi0trhY4dNKJ6HINJ0D
			GzbmdlaN2HulXHMF2ZG+yxMhIhvGrh3bdOmjhJCe1Mnuc4FihjvI
			/DeVm1rKuDttYz72qC2rz5c5R7Xh/osE2CRvLNv45VdnNNlzYmuJ
			fDTt1EHc2Lr9f0rZag1zzL9lxgROwvn6F99rDp0Wl4yJBFYcMd90
			ghRd8bVxurrGMsOCF3MyWvr3yUkhBPzZzN24cg/fiDLg/SlNnTtY
			M03+0ed7TerFxR5AJLWCAHu7OgHbtaPGzeclodO5PNJMryhi3gnB
			9YvGyrbUtEhaNIzvSVVGdjLEGd3HCCFSxAtt2dbnDSZ4UlxOCbnl
			jzx1LzmjRi2eKpUJeH+8FkXOGoJdcoums4ggaJJ61Jp9K54iXJJj
			nIjXRyPW3mhUVxMTOlr7jXJVMUQv86neoTYMxruHeA+uS9/lLtb4
			jW4jO1Rx2sBET7gRXHVDm7sljfvSwM72fYvtfK38dnrFlGmLPdYj
			B0FFY0JVLxxN3fQkj32+5CnXX+70x0njT1z4XAXnk0KeNtDkXWG0
			TAuU0Vug79PLExBtBZT++EoBf3E5JLJJag1H6lQqOPRrgv6cv2/o
			cAT+Lxfx/zIf+P8FHn5V/t+LaOsEAbu5w53Bbq+J/wNs05K0CmVu
			ZHN0cmVhbQplbmRvYmoKMTcgMCBvYmoKNjg1OAplbmRvYmoKMTMg
			MCBvYmoKNzM1CmVuZG9iagoxNCAwIG9iago2MjUwCmVuZG9iagox
			NSAwIG9iago1MzIKZW5kb2JqCjE4IDAgb2JqCjw8IC9UeXBlIC9G
			b250RGVzY3JpcHRvciAvQXNjZW50IDc1MCAvQ2FwSGVpZ2h0IDY2
			NyAvRGVzY2VudCAtMjUwIC9GbGFncyA5NgovRm9udEJCb3ggWy0z
			MSAtMjgxIDEyMDIgNzgxXSAvRm9udE5hbWUgL0ZaUVlWQitDTU1J
			NyAvSXRhbGljQW5nbGUgLTE0LjAzOTk5Ci9TdGVtViA4MSAvTWF4
			V2lkdGggMTIzMyAvU3RlbUggMzIgL1hIZWlnaHQgNTAwIC9Gb250
			RmlsZSAxNiAwIFIgPj4KZW5kb2JqCjE5IDAgb2JqClsgNDA0IF0K
			ZW5kb2JqCjkgMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1YnR5cGUg
			L1R5cGUxIC9CYXNlRm9udCAvRlpRWVZCK0NNTUk3IC9Gb250RGVz
			Y3JpcHRvciAxOCAwIFIKL1dpZHRocyAxOSAwIFIgL0ZpcnN0Q2hh
			ciAxMDUgL0xhc3RDaGFyIDEwNSAvRW5jb2RpbmcgL01hY1JvbWFu
			RW5jb2RpbmcgPj4KZW5kb2JqCjIzIDAgb2JqCjw8IC9MZW5ndGgg
			MjQgMCBSIC9MZW5ndGgxIDIwIDAgUiAvTGVuZ3RoMiAyMSAwIFIg
			L0xlbmd0aDMgMjIgMCBSIC9GaWx0ZXIKL0ZsYXRlRGVjb2RlID4+
			CnN0cmVhbQp4Ae15VVQce7MvPkiABALBmeDODO7BJbi7DDBIGBgy
			AwT3QHALrsHdgrsmSHAIEoJLcIJ7Dt/e33fWuvus+3Qe7svtful/
			VVfVT2qtfmjGl/JwJxcdD2comBPMBRIByhtpGupJs8uoqiqBQUAw
			FxgEwmdklEFAIS72cCdZiAtUBAgGc/OAuUFC+IxAGbizB8Le1s4F
			WMIDAvECpZydYdDHqKOzqwsUwQFUcrLiAkKcrIH2LkggzN4K6oSE
			I5AcQAgMBvyrDglEQJFQhBvUmgsfDAZa21u5AC2htvZO+Nz/Qqbk
			ZAMHCv8dtnZ1/k/KDYpAPsIBsvwFkPWxB8Qa7gTzAFpDbR4LXWEw
			NYgjFMjyN43/kYc42sM8/v3Gv6ECVeHWUITTP1/Vh/5FjkXbCeKs
			bQd3+WdeyQXyyErKyfaRNSeYjwvE9zcEe6S8vTvUWsPexcoOaAOB
			IaF/x3WdHqfA7J2gGnCk/b8UBYL+kdCxs7dycIIikf/OQB/F+we9
			R13+As/9f5r1F3cNiP3ffv6n8X/8BT6K+5c4j9WqEBeEvTvQGMQF
			Aj26/Nf934+m/xgn52QFt7Z3sgXy8AsAIQgExOOxAPx44gd6gYH2
			j4TcgVD3R5rcXE5wl8cZwEfvfYA2cAT+vxwDA7kd/hXB/58kpKXh
			7kAvTl4eICcP/2NPEJ8QUJAf5PN/A6Dt8rhJEIT1fyN6HIZr5YpA
			QJ1c/lqcR63w/322sX90BAp1h1rhz3+HW4kGv0lJT3WpfpH95Zus
			QatKc5YAtjOHeyC9belVrGFIjNU1D8Aa12Fm4aVCGHGGEg1antdp
			CJzV+tf32OmobNhrsx563SsifmQAQ9CKQ1L4L2VzYElgzpa+tSs/
			aXJZpFOOJL+JrvRJ8mxeFUtZwi7g7cqMYyfK5VDGzm12z8p+NT7G
			zPnpiXKKl46jpUsyhYLPIVGfPH23f9uP3GcIS7enfUgbnol8ewmP
			txmifeLnvIDYAs4RlTPd8h7ii5q+FoY4jx8CaIx6ARBdNlI7LhEB
			jM7eTH1K2hgyQeMjKvrfnB+7I47zMO9Jwk6TnJ6VOczt+ukJjQ7F
			D/r9/Baq78aJ2tWE10jQMLO4DOt/ffW8omKttBipknmWCvvGdhtv
			u+Jvc8MPPjKlar/6kbeyYuJFm8qsdx0wadOtETM5AlY6Q+IB6ORV
			v+rmwxT6wYKap1lNI3RCHQLvGzva8YLC4mp7E85f3Vmo87ScyO+v
			yWIO8RUwffZST8DJsKkwGNrwiFgu+sSlmTQj9AcQRWfUeH+HW+q7
			KG3giCW8S0Lf1ILuJUyl99FqAJ4m6BvYP8Hn+rGxBcMCK3ZXbBK8
			/HZJdSpY/0K7gjdaZO9aMLIhWmgZYK5d2jy3EU4IOOYRqkeNatTU
			bDJy1C8z+Oq5MKyOoo2gtivPI7/8VtOLrsmdS0wD1lPw7hsoj9wx
			5KBwa/lYqdg2vMSDMHIUV8ybFPQP+3NvjHLMrf18RDA+yMenUpAr
			tqkvrbhkKuM6jtuiq9OSL7VEcbtcjyrzOl6ZBocTIwDG/mtdLDd+
			nkRw5NQ/F5cyYDkPfe0nXhU9G4Xfn5wvd9jFvNNKFXp/dC2NUDBy
			fI7CVzQiGtv3Gjr3A84GKSnoh4zRedB+7J6y6NwdC0Hxv+hPtP1q
			SICa7qU9qMfHPfUxMmuUPl8Pnyx8SIAHIldxVOq86yjOe4znDmdm
			vPhDMMddjfDTu60JVB3V1NJMbyzoVj9wOeX2oC4hf5Ow9YQg8D8Y
			tIQ9fUmbkt8D8KFn4vBVuIlyAhFRi+7s+D2RIqEexDfsnetkPA+b
			LCz7mjKQV5WQHavmdBLglxgmiQ4uPsEJ8PSPJRWrFZLoOkqU0iT1
			Zqt+8GKIC890NaspSNqTj/L0j/QQE3/+ZSkUUXV1RPGK+JPf43I1
			XEmKN8Pjj7bI+HkDq8UbgnupYz4XSpn7azn4DolU7VxvLuFxoHzf
			gOne7RCakDk+WCrkvzn7lCJyL61LHiPHfw3WNzPd9ba+1eDFgLXY
			1+t097DnGzFYT5wOpOL7ikmLyjvYx5i5Z2vcwPXfV2Vgoq04fiTR
			ZRAwKERNvek0vcFYxbrQC2z07rf+/G68x3xA1z5qYEMy0nolCkLV
			vEWW9cWsdMgfYxMrR1CMjHWRxfWtKOr1PH10f0qs8vcTpT7LhXT7
			ESGq7d03q+UIYX8MaX+UcNmauwiztwzrTWXj2XI8RZqjhhUDJIpP
			Y093zfomGiTPCNhj9HM7guzCHWxTzCWKmrqHCDEirXme2ntNjb9u
			cR41YqOjzeKqdoEIs76o+5I+2sK9iu8JcaNSxBMqK2nH+ukmx3bQ
			Wi40DsV56SdGUbOKk4ARJsqC/IwhSn+BC5G8Lbrv3as4dcn03dgR
			cNtKrJzM636HXTsr4PASh08SlwLqXJp8uqEijXWkohUTfysp+d5U
			5zBU+BapKVkYZdllW0JJQeop1ObP0ajyXA+5yccp3PITJS+N01Dy
			gOEnpYohiQfuBl2xy7uAoNyktcOQnub13h/bCUxyo08AnfX8EiZd
			rGp65qHMwHITLbuArXJ+eGsZEI8O+5idQ9G59+tCPVNUOwh8/4Be
			qxv6LiOgGV3cUKuvAkkj3HLgmPsLpXqEs/vmfjq05zRgr4yN+5XI
			FfBl7bPF2DcE6GWmBW3oiB9U9+tzabVEKG/3NMMzZfOjSLI8GkDN
			8q+Uo13gs/XCAZ7g6izFEdIXHeZKw0dBYtkFn5imvg0q5G+/r8jS
			LpYq3py9+zxxmC6RT+pHprfMov9RWDiqk17o8ztBBbqvyoq4T4Kv
			XGk0z8I6CHjJob8QQiJPRtg7evKTcs88aZ5+kiXMd2p1GZVLnzuC
			q/sDpjwiwehfVfZegbVhFxQ4Sb9T6uHT78j02SyedZHe0czQGonQ
			NrEkZoyzVwyHjSo/11BGlZY4oizyo4s9oq8ipwWqSH3BCndvDjRh
			9JvXCaqaN79Ps8ZesWHcbFjq38sxuUDNb53KdLVfcpuYOJmUU/jA
			XzdISZpZL8Yi+ofV3qiQKlf59sgJ4R+uHEgGIdlZGrZNfyc3A/bk
			dPgdiKbLpeb+YkZvjVRn91qZAQ3826bdaytGR1xrKk3jekZ5DDgP
			pTsff21zd9WLjTbUeDUvpxpktBZNNhWZ+bPvU5xImHrdKzWpn69j
			yWTcmrf76LNvBb/QoqlcsX1XQLEDAxySPa9evyXGWVLAHs63M5FL
			UR0j6PKhpUoSisY4XNPHSZfLjBycZxceZHhDK+WndJTUFrmqisks
			m1qba8xFzSIFouHmgOVPJlZ9ZChrJMfh4lRWrq2KX1jArOMHKgqo
			Fh6Ps4ioWARKzHXS0pztowbKaSg2eQVSP2/8oqaVFFQxX6dE9cLu
			hka/U8O2/CmGymS1ALyXP3oddRGbX1kXZQ1gIqUBRoahq2VKVpO0
			yb8gcKUj4n5e08iHsVCZa4VjEd2zTljqiXZMLf9gFVMgfH7dQSRG
			zrPbkx6qyrpAV2ZgQlZ+RcLpa2MkMrjt3dPu5Iu1+FNRIoutZZ1D
			Xzmb6rlUbPbbCtcGlRWz98aB/vD12jbht4gcorpq8NegFJfEDm/S
			kJ2kI8gFjjWtHqYcTqlqz0wCJEaluyy/7SuWfPbZVzfY2ODF7yeQ
			I2FbqbfBy74H9jGdS8Qx7z6VQhsaCR6mysGlLzq30KA8iTAR2Zf3
			C1U95VTLu9v0TGdXBJRxM0wUHh9e/ulI/c0XA/mzs7uEFtk9uzSr
			nbrFtaaGF//1epXwq3c47RMuHVdbxmOBjvNQHfan+US4qNwzZMiU
			qoV2rp1qi63cnnEtyuH56LPEK+7UYGNKvYDwNp5RzDxPVt50AB2c
			3tZFMySs0MSfMLwdcTmzQ8dztKiv82QsETCipDA8G3c27tD4Z4//
			ZO95j5USXOy4e5joZfU90fz7vkKGvHQhwcCanS/3Wa8L0gzfUenQ
			YDz7EynP5TRSuE8Z1wJA75V0zHL5KGaxV8bcPF+9DXjT97Mtkmkz
			9gfjJ96lzX3AkSJV8fJ0XbiSbcx04dYxtgO10T7vmi9cMdF7RRq6
			0v5EE9TNmMov8L3Q8NZ73JvNtMY9xSzHVHuHbT0/eyFVCzLOLPa6
			5sQPJL4iiqEbzht0nETtXIr+a3meWuF0SuXbj2qaj0sbnM5XtWUz
			keJCTW4S+8jKTh830jh9GMggzxSUk96UVbRY7AXQVQC+8U4Gt6pq
			02qa0T4tkKHVXWbpYTGfLZoUbMdYR2QAOMnvqeQHlW6VOHgC0OT5
			31gf9gCIgi/sqYlHvqCxrOjisabboZnT9ZbjMzelYRlfGFUb9YPC
			kmeLzDnWn0xO03H80niygzRGqZH9JZnvGLk+pXM4N5tHMS1JIDUL
			EjhPsAd3Jw6OSeoq6UfFA47bhxX/3O3OH3frOMPirRqTXGEyOjZj
			KBUpmsbuWieCr2/YVmvYs7OFRXX7iByzCLSuFPLSFD6WW71kU0uI
			M1CZ1/hcklcXJ/0xovt31+3kCxeehk+F5WtnLs8S8u/W3SJFyTNj
			xGFZVVIdguP8SuTSzIeskcf871otfvi8/pYRlp7x3afVRpX4xUpW
			5hpWoPZosDoiicgjrwo/NE6rnKobt2bJ9AWJyDpyNPwGxUnDE/sy
			dGlMtCZ56QkXjaTb0+dVHuERG5SbOvg/vLKeBV2LdNuJR202E0hU
			VNeNl5raivAek9i96ntWwd/sESNifYbpgH0/h6WK3Wkf6QTnT38n
			miFMMbtCC2lpFvgiFajA0g43Mypn9grpMyFlXq2w8h3dFjw7FLWY
			IdneTnnmmTZpBjBw1QPQcIxjarIMUbZePfNpHqfeHwW9Yq/L5bPR
			NXNwO8UrEQEvzS/0V7QaWk/Qom8UF0zHJr2KlfPVIe0Xa/ilIrta
			dAMUs6Dah9GRx9/+7MIjiI5S22YIiume8JBvUfc5j77XfyfMtHTe
			u8G2tx4qg8OMSxiLKCK4Gbg2Xby+lLyBBR1JEalOxkkXEJYctU38
			SMmJb9Ulk7arzNvgfrEY1mqxzrW5eWlbQW5Ig1Hkg05NuqseVi+l
			7FnoP1ojOFPGGeHbLCsylcai4q3IokvB4UUcniM3xeCY5sWYg1B7
			rWDVHerYEMrg0iGYbhURSiy9uvo93eNZ4egfNWHA2HvOjaOh9Mm6
			ElUWrkMC//6nYimJUst1HUAWlklC8RV97ao6a7ciR9dlf+ODafko
			vAWjc44gco3CsUp4HnvUxoFCZn25YPruHOO3QoFFVbLVpcMxuUB0
			LnjbBnJ64NLMhoQKZM4g++bce++CrKrHX9KPeVNLlrdI9xJg7qlY
			LmQyjslKQRAhE8xTCE7oK8lIBvwI6C0e69OR3705X+TJgSQaprfs
			WZAzs4L4d3rX1wNnCnxdAzUhZMOxvoW2UsiX+1Lxlz0cGcsf4loH
			YKeOYLXhLDXfkFU9V/g2TTReCxZhePpKdUvMQG/LVrCh2/OZMVgJ
			KjPDc0Zd8GGt56XVzxz7XfZXHyjLWCZwrPoqIS8cY3AvzpuSKTMU
			P+BIHZY3JmRiuqCkRwxcdj/0NQjTYNcPH+ChtPBHvGKqAjSh+Em6
			mI+82fC6+EAXZAynq6bE6ZSotyio2gBQI/Khk8m3M1mCLuWkzMPB
			691PAFx6QfNSrMMFPxHt2ZlIzJP37ZkgjzDmbmKhdGzhftjCsv9J
			WmRK6pHxtlGiRwEKxxP+kMtpMZXgyIGT3IFglDCdmJl6MwEy2S/D
			L/xSdGj62wqkNVcJjWL20mx1ApXmR1iCF4DDcCux0AQO8vRTKQk2
			qYYHYBgawQ5GaN8OU0FZkfFwSPuVMOHdq9f4Eq3eUxm2CjTt+haL
			k3InE84IqbSn3FTHnoT0q3CzW12r4SAl7iK8kFYd3tQ3V58+mGhJ
			YKLGkyIUHejTYkEKNhX11v2F7zykuqEFbhfcWswmVp2VjISWn/aF
			harB3jwhCTLcvChFderGfjmBfC0tkXUqhih5KU23bMlUzVkGhc6X
			Fml0+jHdosJmdwYhXycKP0QwjwnGVxJ6D19+UyI2DlA5C+mOCR+z
			u8/L5a9TD06Y9xiNzkO3SwNqkUuPfH6elgW9mwhnkR7SdZExzjnW
			oTodeNc0b5WwCJOO/ATasNvrB6vmN/plVJvHDqFMr4Rs1FMdcMaw
			7GacXjjv9jNEP6MjGG18Hp/zlT85fYganyxpE0C7HEKm27QsArxG
			5zsq0ez68BLFID+nGN8xMvaGc/rwhKoGDTkf/EE2ufujd552WsQi
			pdGusm19cNExwS9GK64JevO3IYUV5m+OJSJsILmRPyX5seJFg0o0
			qUsoZJiead/YDQLE/NhD0xUu8rr3Oceq6xnEfRC+ecp4IUu/9DLU
			2PQJ0n9i9BRMP36stT9iNrAeOrpWYS5Jm2Ge3TbzpqDaFaD+Giwy
			qdtfFz9rlRBi72VNHe71W1O602ZYQeX5RrMhQNs83nYimZqDCkRi
			Du9boOvOxxc53JFuaPOCIRKzuDGKNnOl6zJbLJmLPxxdJ57WaGTI
			xfjqmYnUe21HMUenv6My4VsxNaFgr4/uz/uGTRA6dBVmHdDHBZv0
			2H/c8GkTfV3AYrxYC3p+Kc9JvAZvYPBrVJPOHP6OFtDddpy7Z0le
			vljnoToFsbooSO1T9B0ZjyhpQnWQtarcoBNiKbKfFmLZMd2WonbL
			tEVkeZ+J1y63NMhcPbNZ57id4ZpYSfZRy/rn4dRm5XUwRQ4Wg5Cs
			qmenOfMG9LOt7m/enBvtruZ7OV9ZmarZ1hsWz6hyfdYVgJFYEe7Y
			rHvv/rBLkBiGKpNowfeNPc1dIsePc+TDp8l5hOQsqxGrFSUueNYN
			1m3pR44D5/bCo+OoR6SYl9OrskKDG9Vfo3Utwgz/8EwIY6ksN4pK
			veyZ4FJKm52c3R4UtanBtJufdxfNpFazxzcGYSQACvqpTEm0mnvc
			Z3ujFxBzW1seByFYhc/I6r5b8UG+89CjTyqgNmSskk11zvWD4k7D
			YL4SXOVW2MLhb0tq5yJaxhjXLtOQZNhMBCaS4odOr42XQXXXz3YF
			ZMT7H7hdAlZ8eYAtQw6Vo3y13YBQlIs+N2UOdvVKbdXXigbvdEiM
			qsXu7/cQ65brbqVBKxR/tCz5qbQjJnzuj9hY+3ZAthfHDy0Q8Tp9
			R0dbweL8uGklxKhJYhH1llBmjDoxrfhhTBBrjqgkE3tXjp+srP/b
			4s9GU4D33afzDfdUro1ljeEFHuycZCvVIUwFqmhCUaKyT9lp8q4O
			h3zXSedFzpv2bj18K0rDpU/EYtqlFrN2CXG1CjZFzLuNUV8Gs6hV
			ydIm/mjhzjWYvYquO6t/Wq2mT1bt6MgMZJQ48tegy0okPduZs1sn
			LCYK81tP5XP80D/B6FpieJmQJRVXDmA+GHurwmvTyLdU8NwIWkCz
			qU1n45x9MO7GBOVnHhH69eazmjXyHHBfwSvf5TIVEeidY9KEtJra
			4TWjsKfwHSqUU9ymsIVWu8maZAk/EBXCpOau/A64ScsOPqkMvpz8
			XDW304EKxJZTWsjFza4R9zavlDvXt1QnotGqDX4fRyR6nxqRFRGE
			090hNExcsP8tId+9mOQA3yF3p5DemO85KeKJeytkVXldeJFD59Ru
			Ju4Zn/HBbT/H3IkOGywqIfr5t08d73u2k4j62T6go2G/ItVYT164
			sNRIi8bF97wi45SlE/bL6bKDRqV41v/uJcGnzFDn+kgiX+RMG9+4
			m1L4KmcKu5k6yKXJL+Twa8znmxAXax9WWeNCwXR744BUqQ+ABsVs
			v+fxQmm782qWZWe1Xa8TndpjdMwIHsZeocaX3th9O/jj3wTjNbsP
			d15ki3bEbVMrl6JfzrxP2f7M2Nn5dNdB7dCdZ6jcY/L3DIyyVkNw
			aSLLIHeQ0yt5Z/tg09dQQZwvcNn2Kda8SgBjw/idfKBwMHI7qvx9
			XEhJY5aKziadloqV2QCQpZ4K17h2iWCOvlVplQ9wZgfbaKj/uQbV
			vc9dCCmWCUV8j6ITpc4nPVAWaxvBIRko5mXleFBsQmcTrC36NmKB
			T4Cogru//AOqa1klLsJWrffgy7OINDao6Y5Oq9hMK638bRWqVhIc
			KVqsRhyv827WMEop5oNQ7hGEJd+/EUnufl1O4D9ZsCHXklnKtRVN
			YLqmKbp9H8N1bcPYyDTPQeHFGMfV9elN2rhMYTTyj9ziuph3ksTE
			Eakc5nX8LIhdJsHpj8KPQC0DTtWsAYVKzkn8G99hfJEgS9MUllls
			p2NNgf4bPteiWa1vhAYNkjhFr4iuHapf0uyJbg2t6aik4I9Kta8Q
			r80eR7dd3o0OT29RYP9m6a0e5+GMogBHxwTm5dw6eQlgLkN/fw+v
			vq9MHX/GG9JsgIAzvGUNbv75I8tbUNheVc3CdDVALEdilEXDmOVC
			N2fS1ajZT6srvvr+dHZ37Snq3ANIWedDz/7ZBK9N7VrLsymLr02i
			ucQY+5VKoViDv93VuQ/ojdvZj+q9RUQJ8m0P5afAFHGRmXsI+5DO
			Rm4APbAN0SSMpYV6beu0vGPeFdQx8yKlFrSrvRJKkvDZQCbKrKo4
			plK3stonETsN9vrOX+NG2+9BSJSXPJeo/Fl33NBgNpCjzUcAkJQ1
			E8jwkDDI26tivYWSNrL+1qtua9svjID3kPE1+Ymc7FULZS33tOUR
			2jm2+Qt7zaxXYoWhsNNUdyauF3XXA+wVqOEKl8lhJjIXU8OLb3NG
			uw5RMLbtOJU64O6329YVycVBTzIe1nUuNcG+70BGa263OvG4pSTi
			c5+PIaae/RwJztwbtZZfp++ML0ahxIrZ6kd8LH7GeF6GMQ4Pirr+
			srmDOU4g3jsewubbQ70Yw3KTscDh1VYBR4Euo7sUlNoiE16y32Kb
			RodhWNxmbBdqwb5cuM3j2Xdjf2Tmb/quHnjyjbmJCKS5WomaY/GO
			9uvQ/3RqErPOLGHfmoz4LUgpCyGFTZwIWh+0iwcHR2wUNzDZLP0r
			ul18kXMVShOqFb26yFcy71rHBcyMvfzP3eiLK7KGxhYLf/XZX2Gf
			x9rh+k5HU8Fmc1o+0J5o8OBzC52stuKyiJvwKNWZ+FAy4t+RtCUd
			cnxWuvGM32h8WQ85srqsejik8+pRe7+1iOZWbpwho8DKPvajO/37
			RwXTz7+iCke0dDOaaUdZo2BrT/FogzVv1uLg+tgqa2z+n0svLif1
			tw5IYGfOfcOSiwp3c+qhBUTSIwyxNSNmi68F02rFTwBa4ZzfJOI8
			LC7Btzi+ATNI6/OP6CjJkGPQ//LC/1/Wg/5/g8e/oP/vRbSCQSEI
			F7gjBOGA/18i6KeSCmVuZHN0cmVhbQplbmRvYmoKMjQgMCBvYmoK
			Njk0NgplbmRvYmoKMjAgMCBvYmoKNzQwCmVuZG9iagoyMSAwIG9i
			ago2MzM3CmVuZG9iagoyMiAwIG9iago1MzIKZW5kb2JqCjI1IDAg
			b2JqCjw8IC9UeXBlIC9Gb250RGVzY3JpcHRvciAvQXNjZW50IDc1
			MCAvQ2FwSGVpZ2h0IDY2NyAvRGVzY2VudCAtMjUwIC9GbGFncyA5
			NgovRm9udEJCb3ggWy02MyAtMjgxIDEwNzkgNzgxXSAvRm9udE5h
			bWUgL0ZaUVlWQitDTU1JMTAgL0l0YWxpY0FuZ2xlIC0xNC4wMzk5
			OQovU3RlbVYgNzIgL01heFdpZHRoIDExNDIgL1N0ZW1IIDMxIC9Y
			SGVpZ2h0IDUwMCAvRm9udEZpbGUgMjMgMCBSID4+CmVuZG9iagoy
			NiAwIG9iagpbIDUyMSBdCmVuZG9iago4IDAgb2JqCjw8IC9UeXBl
			IC9Gb250IC9TdWJ0eXBlIC9UeXBlMSAvQmFzZUZvbnQgL0ZaUVlW
			QitDTU1JMTAgL0ZvbnREZXNjcmlwdG9yIDI1IDAgUgovV2lkdGhz
			IDI2IDAgUiAvRmlyc3RDaGFyIDEwNyAvTGFzdENoYXIgMTA3IC9F
			bmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZyA+PgplbmRvYmoKMSAw
			IG9iago8PCAvQ3JlYXRvciAoTGFUZVhpVCkgL1Byb2R1Y2VyIChN
			YWMgT1MgWCAxMC41LjUgUXVhcnR6IFBERkNvbnRleHQpIC9DcmVh
			dGlvbkRhdGUKKEQ6MjAwODExMjExNzQwMzlaMDAnMDAnKSAvTW9k
			RGF0ZSAoRDoyMDA4MTEyMTE3NDAzOVowMCcwMCcpID4+CmVuZG9i
			agpvYmoKPDwKL0VuY29kaW5nIC9NYWNSb21hbkVuY29kaW5nCi9Q
			cmVhbWJsZSAoRVNhbm5vcEVTc2xhc2hkb2N1bWVudGNsYXNzWzEw
			cHRdRVNsZWZ0YnJhY2thcnRpY2xlRVNyaWdodGJyYWNrCkVTc2xh
			c2h1c2VwYWNrYWdlRVNsZWZ0YnJhY2tjb2xvckVTcmlnaHRicmFj
			ayAldXNlZCBmb3IgZm9udCBjb2xvcgpFU3NsYXNodXNlcGFja2Fn
			ZUVTbGVmdGJyYWNrYW1zc3ltYkVTcmlnaHRicmFjayAlbWF0aHMK
			RVNzbGFzaHVzZXBhY2thZ2VFU2xlZnRicmFja2Ftc21hdGhFU3Jp
			Z2h0YnJhY2sgJW1hdGhzCkVTc2xhc2h1c2VwYWNrYWdlW3V0Zjhd
			RVNsZWZ0YnJhY2tpbnB1dGVuY0VTcmlnaHRicmFjayAldXNlZnVs
			IHRvIHR5cGUgZGlyZWN0bHkgYWNjZW50dWF0ZWQgY2hhcmFjdGVy
			cwpFU2Fubm9wZW5kKQovRXNjYXBlZFByZWFtYmxlIChFU2Fubm9l
			cCU1Q2RvY3VtZW50Y2xhc3MlNUIxMHB0JTVEJTdCYXJ0aWNsZSU3
			RCUwQSU1Q3VzZXBhY2thZ2UlN0Jjb2xvciU3RCUyMCUyNXVzZWQl
			MjBmb3IlMjBmb250JTIwY29sb3IlMEElNUN1c2VwYWNrYWdlJTdC
			YW1zc3ltYiU3RCUyMCUyNW1hdGhzJTBBJTVDdXNlcGFja2FnZSU3
			QmFtc21hdGglN0QlMjAlMjVtYXRocyUwQSU1Q3VzZXBhY2thZ2Ul
			NUJ1dGY4JTVEJTdCaW5wdXRlbmMlN0QlMjAlMjV1c2VmdWwlMjB0
			byUyMHR5cGUlMjBkaXJlY3RseSUyMGFjY2VudHVhdGVkJTIwY2hh
			cmFjdGVycyUwQUVTYW5ub2VwZW5kKQovU3ViamVjdCAoRVNhbm5v
			dGtfaUVTYW5ub3RlbmQpCi9Fc2NhcGVkU3ViamVjdCAoRVNhbm5v
			ZXNrX2lFU2Fubm9lc2VuZCkKL1R5cGUgKEVFdHlwZTBFRXR5cGVl
			bmQpCi9Db2xvciAoRUVjb2wwLjAwMDAwMCAwLjAwMDAwMCAwLjAw
			MDAwMCAxLjAwMDAwMEVFY29sZW5kKQovQktDb2xvciAoRUVia2Mx
			LjAwMDAwMCAxLjAwMDAwMCAxLjAwMDAwMCAxLjAwMDAwMEVFYmtj
			ZW5kKQovVGl0bGUgKEVFdGl0bGVFRXRpdGxlZW5kKQovTWFnbmlm
			aWNhdGlvbiAoRUVtYWcxOC4wMDAwMDBFRW1hZ2VuZCkKL0Jhc2Vs
			aW5lIChFRWJhczIuNjk5OTcwRUViYXNlbmQpCj4+CmVuZG9iagp4
			cmVmCjAgMjcKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDE2NjM3
			IDAwMDAwIG4gCjAwMDAwMDAyNjUgMDAwMDAgbiAKMDAwMDAwMTQy
			OCAwMDAwMCBuIAowMDAwMDAwMDIyIDAwMDAwIG4gCjAwMDAwMDAy
			NDYgMDAwMDAgbiAKMDAwMDAwMDM2NyAwMDAwMCBuIAowMDAwMDAx
			MzkyIDAwMDAwIG4gCjAwMDAwMTY0NjggMDAwMDAgbiAKMDAwMDAw
			ODg4NiAwMDAwMCBuIAowMDAwMDAwNDc3IDAwMDAwIG4gCjAwMDAw
			MDEzNzIgMDAwMDAgbiAKMDAwMDAwMTUxMSAwMDAwMCBuIAowMDAw
			MDA4NTY0IDAwMDAwIG4gCjAwMDAwMDg1ODQgMDAwMDAgbiAKMDAw
			MDAwODYwNSAwMDAwMCBuIAowMDAwMDAxNTYxIDAwMDAwIG4gCjAw
			MDAwMDg1NDMgMDAwMDAgbiAKMDAwMDAwODYyNSAwMDAwMCBuIAow
			MDAwMDA4ODYyIDAwMDAwIG4gCjAwMDAwMTYxNDUgMDAwMDAgbiAK
			MDAwMDAxNjE2NSAwMDAwMCBuIAowMDAwMDE2MTg2IDAwMDAwIG4g
			CjAwMDAwMDkwNTQgMDAwMDAgbiAKMDAwMDAxNjEyNCAwMDAwMCBu
			IAowMDAwMDE2MjA2IDAwMDAwIG4gCjAwMDAwMTY0NDQgMDAwMDAg
			biAKdHJhaWxlcgo8PCAvU2l6ZSAyNyAvUm9vdCAxMiAwIFIgL0lu
			Zm8gMSAwIFIgL0lEIFsgPGMzYzIwZTNjMDY0Yzk4MDE5NzVkNjBh
			ZDJmNWMzNTAwPgo8YzNjMjBlM2MwNjRjOTgwMTk3NWQ2MGFkMmY1
			YzM1MDA+IF0gPj4Kc3RhcnR4cmVmCjE3ODQ4CiUlRU9G1A0tLi8w
			MTIzXE5TQXR0cmlidXRlc1hOU1N0cmluZ18QD05TQXR0cmlidXRl
			SW5mb4AdgAeABoAbXxDKXGRvY3VtZW50Y2xhc3NbMTBwdF17YXJ0
			aWNsZX0KXHVzZXBhY2thZ2V7Y29sb3J9ICV1c2VkIGZvciBmb250
			IGNvbG9yClx1c2VwYWNrYWdle2Ftc3N5bWJ9ICVtYXRocwpcdXNl
			cGFja2FnZXthbXNtYXRofSAlbWF0aHMKXHVzZXBhY2thZ2VbdXRm
			OF17aW5wdXRlbmN9ICV1c2VmdWwgdG8gdHlwZSBkaXJlY3RseSBh
			Y2NlbnR1YXRlZCBjaGFyYWN0ZXJzCtINDjY3gBqiODmACIAW0w07
			Djw9QVdOUy5rZXlzgBWjPj9AgAmACoALo0JDRIAMgA+AEVZOU0Zv
			bnRXTlNDb2xvcl8QEE5TUGFyYWdyYXBoU3R5bGXUDUlKS0xNTk9W
			TlNTaXplVk5TTmFtZVhOU2ZGbGFnc4AOI0AoAAAAAAAAgA0QEFZN
			b25hY2/SUlNURVgkY2xhc3Nlc1okY2xhc3NuYW1lokVVWE5TT2Jq
			ZWN00w1XWFlaW1xOU0NvbG9yU3BhY2VVTlNSR0KAEBABTDAuNSAw
			LjUgMC41ANJSU11GokZV1F8NYGFiY2RlWk5TVGFiU3RvcHNfEBRO
			U0RlZmF1bHRUYWJJbnRlcnZhbFtOU0FsaWdubWVudIASgBQjQDwA
			AAAAAAAQBNINDg9ogBOg0lJTamuia1VXTlNBcnJhedJSU21HokdV
			0lJTb3CicFVcTlNEaWN0aW9uYXJ50w07Djxzd4AVo0A/PoALgAqA
			CaN4KUKAF4AZgAzUXw1gYXxjZGWAGIAU0g0OD4CAE6DTDVeCWYSF
			V05TV2hpdGWAEBADQjAA0lJTh4ijiGtVXk5TTXV0YWJsZUFycmF5
			0g2Ki4xXTlMuZGF0YYAcSR0AAQEnAIUBAdJSU46Po4+QVV1OU011
			dGFibGVEYXRhVk5TRGF0YdJSU5KTopNVXxASTlNBdHRyaWJ1dGVk
			U3RyaW5n0w0tLjA5l4AdgBaAH1NrX2nSDZqbnFdOUy50aW1lgCEj
			Qa2uVDDWfkHSUlOen6KfVVZOU0RhdGXSUlOhoqKiVVtIaXN0b3J5
			SXRlbQAIABEAGgAfACkAMgA3ADoAPwBBAFMAeQB/AIQAiwCWAJgA
			mgCcALUAvQDHANIA2wDgAOgA7gD3AQkBDgEUARYBGAEhASMBJQEn
			ASkBKwE0ATYBOAE6AUFJtkm/ScxJ1UnnSelJ60ntSe9KvErBSsNK
			xkrISspK0UrZSttK30rhSuNK5UrpSutK7UrvSvZK/ksRSxpLIUso
			SzFLM0s8Sz5LQEtHS0xLVUtgS2NLbEtzS4BLhkuIS4pLl0ucS59L
			qEuzS8pL1kvYS9pL40vlS+pL7EvtS/JL9Uv9TAJMBUwKTA1MGkwh
			TCNMJ0wpTCtMLUwxTDNMNUw3TEBMQkxETElMS0xMTFNMW0xdTF9M
			YkxnTGtMekx/TIdMiUyTTJhMnEyqTLFMtky5TM5M1UzXTNlM20zf
			TORM7EzuTPdM/Ez/TQZNC00OAAAAAAAAAgEAAAAAAAAAowAAAAAA
			AAAAAAAAAAAATRo=
			</data>
			<key>bundleId</key>
			<string>fr.club.ktd.LaTeXiT</string>
			<key>refresh</key>
			<real>0.0</real>
			<key>serverAppName</key>
			<string>LaTeXiT</string>
			<key>serverName</key>
			<string>LaTeXiT</string>
			<key>version</key>
			<string>A</string>
		</dict>
		<dict>
			<key>ApplicationURL</key>
			<string>http://ktd.club.fr/programmation/latexit.php</string>
			<key>appData</key>
			<data>
			YnBsaXN0MDDUAQIDBAUGCQpYJHZlcnNpb25UJHRvcFkkYXJjaGl2
			ZXJYJG9iamVjdHMSAAGGoNEHCFRyb290gAFfEA9OU0tleWVkQXJj
			aGl2ZXKvECMLDBIqKyw0NTpFRkdIUFFWXF5maWxucXt+gYaJjZGU
			mJmdoFUkbnVsbNINDg8QViRjbGFzc1pOUy5vYmplY3RzgBOhEYAC
			3A0TFBUWFxgZGhscHR4fICEiIyQlJiUoKVd2ZXJzaW9uWXBvaW50
			U2l6ZVpzb3VyY2VUZXh0WHByZWFtYmxlVG1vZGVXcGRmRGF0YVV0
			aXRsZVhiYXNlbGluZV8QD2JhY2tncm91bmRDb2xvclRkYXRlVWNv
			bG9ygCKAAyNAMgAAAAAAAIAegAUQAIAEgAAjAAAAAAAAAACAAIAg
			gBlWMS4xNi4wTxFIGCVQREYtMS4zCiXE5fLl66fzoNDExgo0IDAg
			b2JqCjw8IC9MZW5ndGggNSAwIFIgL0ZpbHRlciAvRmxhdGVEZWNv
			ZGUgPj4Kc3RyZWFtCngBfY7NCsJADITvfYo56qHpZv/SvSp6Lyz4
			AIuCQoW27w+N26I3ySFDMsw3EwZMMDrswBbzHTe80Z0XRlnqw2Ap
			6mHqN5/u1kYhHyJaZkl6KGNzykiUoo3VtUv2PYnGxiBkXUAe0V2Z
			lIb8wGE+Ir9wybXEP0BTRiggUhK31dglB0fWiAICidfUD8B+Ac8f
			YFgB6CgxdQplbmRzdHJlYW0KZW5kb2JqCjUgMCBvYmoKMTUwCmVu
			ZG9iagoyIDAgb2JqCjw8IC9UeXBlIC9QYWdlIC9QYXJlbnQgMyAw
			IFIgL1Jlc291cmNlcyA2IDAgUiAvQ29udGVudHMgNCAwIFIgL01l
			ZGlhQm94IFswIDAgMTMgMTJdCj4+CmVuZG9iago2IDAgb2JqCjw8
			IC9Qcm9jU2V0IFsgL1BERiAvVGV4dCBdIC9Db2xvclNwYWNlIDw8
			IC9DczEgNyAwIFIgPj4gL0ZvbnQgPDwgL0YxLjAgOCAwIFIKL0Yy
			LjAgOSAwIFIgPj4gPj4KZW5kb2JqCjEwIDAgb2JqCjw8IC9MZW5n
			dGggMTEgMCBSIC9OIDMgL0FsdGVybmF0ZSAvRGV2aWNlUkdCIC9G
			aWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4AYWUTUgUYRjH
			/7ONBLEG0ZcIxdDBJFQmC1IC0/UrU7Zl1UwJYp19d50cZ6eZ3S1F
			IoTomHWMLlZEh4hO4aFDpzpEBJl1iaCjRRAFXiK2/zuTu2NUvjAz
			v3me//t8vcMAVY9SjmNFNGDKzrvJ3ph2enRM2/waVahGFFwpw3M6
			EokBn6mVz/Vr9S0UaVlqlLHW+zZ8q3aZEFA0KndkAz4seTzg45Iv
			5J08NWckGxOpNNkhN7hDyU7yLfLWbIjHQ5wWngFUtVOTMxyXcSI7
			yC1FIytjPiDrdtq0ye+lPe0ZU9Sw38g3OQvauPL9QNseYNOLim3M
			Ax7cA3bXVWz1NcDOEWDxUMX2PenPR9n1ysscavbDKdEYa/pQKn2v
			AzbfAH5eL5V+3C6Vft5hDtbx1DIKbtHXsjDlJRDUG+xm/OQa/YuD
			nnxVC7DAOY5sAfqvADc/AvsfAtsfA4lqYKgVkctsN7jy4iLnAnTm
			nGnXzE7ktWZdP6J18GiF1mcbTQ1ayrI03+VprvCEWxTpJkxZBc7Z
			X9t4jwp7eJBP9he5JLzu36zMpVNdnCWa2NantOjqJjeQ72fMnj5y
			Pa/3GbdnOGDlgJnvGwo4csq24jwXqYnU2OPxk2TGV1QnH5PzkDzn
			FQdlTN9+LnUiQa6lPTmZ65eaXdzbPjMxxDOSrFgzE53x3/zGLSRl
			3n3U3HUs/5tnbZFnGIUFARM27zY0JNGLGBrhwEUOGXpMKkxapV/Q
			asLD5F+VFhLlXRYVvVjhnhV/z3kUuFvGP4VYHHMN5Qia/k7/oi/r
			C/pd/fN8baG+4plzz5rGq2tfGVdmltXIuEGNMr6sKYhvsNoOei1k
			aZ3iFfTklfWN4eoy9nxt2aPJHOJqfDXUpQhlasQ448muZfdFssU3
			4edby/av6VH7fPZJTSXXsrp4Zin6fDZcDWv/s6tg0rKr8OSNkC48
			a6HuVQ+qfWqL2gpNPaa2q21qF9+OqgPlHcOclYkLrNtl9Sn2YGOa
			3spJV2aL4N/CL4b/pV5hC9c0NPkPTbi5jGkJ3xHcNnCHlP/DX7MD
			Dd4KZW5kc3RyZWFtCmVuZG9iagoxMSAwIG9iago3OTIKZW5kb2Jq
			CjcgMCBvYmoKWyAvSUNDQmFzZWQgMTAgMCBSIF0KZW5kb2JqCjMg
			MCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9NZWRpYUJveCBbMCAwIDYx
			MiA3OTJdIC9Db3VudCAxIC9LaWRzIFsgMiAwIFIgXSA+PgplbmRv
			YmoKMTIgMCBvYmoKPDwgL1R5cGUgL0NhdGFsb2cgL1BhZ2VzIDMg
			MCBSID4+CmVuZG9iagoxNiAwIG9iago8PCAvTGVuZ3RoIDE3IDAg
			UiAvTGVuZ3RoMSAxMyAwIFIgL0xlbmd0aDIgMTQgMCBSIC9MZW5n
			dGgzIDE1IDAgUiAvRmlsdGVyCi9GbGF0ZURlY29kZSA+PgpzdHJl
			YW0KeAHteWVUVH3XNz2EgIAgzUg3M3QLSEo30iMMMDIwODMg3YLk
			ECKNSCMp0imlhDRISKc00u3DfV33/az1Xs96Pz0f3i/vOV/Of++z
			9/7FXut8OByPVBGuaCMvNyhYACwIkgaa6SuamCrxPdHW1gCDgGBB
			MAhEysHxBAmFoGEIV2UIGioNBIOFhMFCIElSDuAThJsXEubohAYW
			C4NAIkBFNzc49C7q4uaOhiL5gRqudoJAiKs9EIZGAeEwO6grCoFE
			8QMhcDjwrzoUEAlFQZEeUHtBUjAYaA+zQwOfQx1hrqRC/0Km4eqA
			AEr9HbZ3d/tPygOKRN3BAXL/BZDnrgfEHuEK9wLaQx3uCt3hcB2I
			CxTI/TeN/5GHuMDgXv9+499QgdoIeyjS9Z+vmkL/Isdt6ApxM3RC
			oP+Z10BD7lgpujresRYAiwqCRP+GAEOpwjyh9nowtJ0T0AECR0H/
			jhu73k2Bw1yheggU7F+KAkH/SBg5weycXaEo1L8z0Dvx/kHvTpe/
			wAv9n2b9xV0PAvvbz/80/o+/wDtx/xLnrlobgkbCPIEWIEEQ6M7l
			v+7/frT6xzgVVzuEPczVESgsJg6EIJEQr7sC8N1JDOgDBsLuCHkC
			oZ53NIUEXRHouxnAO+/9gA4IJOm/HAMDhZD/ipD+TxJKSghPoI+A
			iDBQQFjsridIVBIoIQby+78BMETfbRIEaf/fiO6GEdu5I5FQV/Rf
			i3OnFem/zw6wO0egUE+oHen0D4SdTOiLlPRUdOXD91+/K5s1aTVk
			iRO68XsGszl+PI97FoaxuxAG2BM7T8w8UougytBgxsn1OQpD8Nj/
			+hE3HvMe/tS6g834nFIMFcQesuj8LvKXpg2wODh73dTeXYwmuSTa
			NVtBzNJY6TB5MreCuyRxC/ByccKlDeusL2Pz6n3H4k4lKd7EydGh
			ZoqPkctzdDK9mt8eZZcqW3tg888cCuRzj/tdKAfhkTyYvNfLDJku
			uRMRQFy+wIDWsXFpB9Xpp65G9nivn+I4HCZBEGNeGidBaXG8ts5M
			UwYWDK2ExT4j22+Bt+1RB7n4N9QRR+9cKUqcp7YCTCQH+xJ6A+a+
			h5t6CGB/qSepI6udmF2Adz89f1BWtvyxCKWVeZwK/857leC4GOhw
			KQbet2JsOf+Zu7ho6cOSymVyETTq0K6HGR0AaxyjSACsqtrfjPPg
			at1gCf2jrPoBVslW8dd1rS0kIRHxVZ2JJ4+vbXWFGw9Vd5aV8ftE
			8zk/++gmEmU4lJn1rXpFLRR+ENR/NyH5BxDDal53c0380X9WycyF
			QGqLmq2+EddHitHkrV0PIk3CP7h7RNT9bV0jni1B3JbsKHjh5bz2
			WKjpqWGZSKz09oVEdG2s5ALAxvBjw9RqJDngQFiyBjumTl+/3tzF
			tMTsm/dMvy6WIZLJqTSX7uz7p05cfaEcKmawiZpvV09p9OYzfnqP
			xrfl6s3988JIcxc59dxRicCIPzcWWAdChg8GJBJC/PzKJQTj6rvS
			iorHMi7ihWy/tD0XTS1W3yg1Ycy8SNBkJhLAC4Lz/VqRzUmYppYY
			OArMIWYIWsjFXZ4jqWDjpQ/4k/31mrBIZFyjzOSP8XNzLLxsv/3I
			Rb2oupbt2radoONeBnq2PgtcYZyfW0fcRtcHklDSr6Yjzb9qE6FW
			22m3ugnx9/3MreuUTlYiRwtuExHBqCUirWrfavqTDoupvYkJH7Ew
			/GF3c9L0dnsybRcdnTSrS1vWpTeCrjkd2POo39S8HWFI0jdmjRH3
			H7Gk5HUA/Ng4+f3VLmNcQZRMMpubAfcUqZl6SZ91TrVxnESMFpR8
			S+nJrUh8H6fjehgUkBShgAsuOiQK8g6Mo5GtkpT/sp+kqE/jy1t5
			68MeH5npbv0p/922aox3YLSXrNyDr/PhyIrzffrHVB8C7par9lxB
			rgGRsL9OKyYSXClXG9rJhPlcoGgTaODs3yddsXmxNk/Cj/VjFW58
			vUluSety+1wt78XxhxTpGyVjOoyK2AXY1Npqy9f+Sk8ED94IqzFq
			7+DLM2e3HznqSSX1l1WSUXWGYaw93+tdIkxfV2Tg4yy6vKU2Zhc3
			K8BOvWyzusRbIjg1Ca7z7bb//Gq4w6bHGBbTs6oQbb8YA2FsWKfN
			+mr9sS8Qb40gW0KWlmeW2/2lDPbFNFtsd0qc5o9Dja7nM+mwAUnG
			ja0XS6VIqUA8pUCsSOVP11HWL9lX6kuG36sIF+oPPivroVa/H3e0
			Zd01UqtwTMaHMc1pDXGKdHZMsZEvrG/vI8eLthe+D/MZG37a6DZo
			zsvKkiVYiYZI8Tys/po+2Ci0ROoN8WBUJ5EsKW4hmPNQ4d1tKpUc
			hhI9CpCl/7RElIgXIcON+ownw3ZKDFG4Krzp3C47Qmf6r26Ke6wn
			lY/mtr8irJoUd35EJKpATA91+5h8tKqlRLCvZYBJuFJQeG1ltBcu
			dYXSVyiIef7FsZiBnsZbsjmQv07rgQlqTVRAqnEOKzdN4JnCLvsc
			g9Yzai/iVdYi9KugkJx3y3thHQ0rnT83EjlVBu8B2mrE5C2/8OiY
			2IRzAUstDZyC1kvFEE0lQBJWwgM+fnW3zm8zNZwxLSDwzS1ulXH4
			q4ygBly5ZwZdZShmqcZdl5xfWJUDAu2XN+PhHUdB2yW8Qo+lz4GP
			qihm416Q4ZZY5TfjIn8y3qxMpVVRYr3c1o/MVM6Loc7yqgU1qD7W
			jEUjJmukgrzBlVnqAzQPW200+vdDZN/nf+Ac+96rlrfxuizLsEix
			aG3y+vPIXrp8Hk0ArckCt+lbKamYNjbJz68k1Fi/aaoT3ws9d2fW
			P45oJROhg/5CSkrfG+Br7ch7l3PszXz/gzJ5nmsTelAlfWofoRsI
			GPOKBuN+09p+DDaEn9ITvfudUoMYf0VrymtL8YXmmnmCxVyapZ47
			KWOYr6w/YlDzgZ4mtpL8PkNhAGvcPlsFHQtQS/ErQaRnQ7AlR8C0
			UUjFtM1Nmj3hogPHWu1893a25Sl2XtNYpjts3mNk5HBURe2NWHUv
			A01mjSy3zB8emHkBY47m1b4rMjBSM5gWQr053++Y/kplAuwt4Pw7
			GMdYUMfz4YTJMo3R1oUmOw74t0OLzzrGSM5gLE3vYkJzCDgNZT0Z
			fupwfd5JiNNXdz6toh1ivhxLOxadOdf1IV46Qrf6sY7i3NM42ice
			DRtdbO+vJL6y4Gid8/5Qw3ICA5yTvc+fvqQimlcj7M9zslRJ0R4i
			++LHwvhOMhZvb9mUKF0lM7p3mk+ql/0Fi2KAxv675uglbXwu5dSq
			HAtBJm5FELMQPzxvNKniLXtJHR2RoICmZlVFwswMfrUYUF1cu+Bg
			mFtayzZYfqqNhfl4BztYRU+93ieY6UHdVx2DdyFl09UajA+dLplN
			2/QcS+/jaY1WiiM6xWJXsGcJxTSNsZYBlop6YFQErk6mQiV1s+pD
			MndWSqEHn+pE8WbKc+yIbGM7Vsg/euMcMKne2mHypU4uWill6YS3
			OtLDtXlmWEvMLGlLz6kF/B3MpXs3fDtaXP0JZufU5bN4G1f4TTXf
			Mz5QjHv/ssy9VmvR+rVFcCBipapZ6iUym7K6EvwtJAWd1OpLE7b5
			bh9ySmTPYoKvQvRRu2MiEYLRai/Ja/5GoPr++JsHfKj39Pc9yL6U
			o+LL0AX/XRimbZ4K8+rDR2htHdntWCn448O2dRyocBJcWvnRzUxF
			RynjwtYGG+fxORlD/AQnvdebR39aU3+LYiB/NrfmcaLbJ+cnDVPX
			BZd1SBK+XSyRf/ONZLknaOTuyHEg3noSbsR3P4+SGFtoghaVUjHT
			IrhZabue0zFswNA/HXucdC6UGmrBYBIU2Sw8iJ/rzSOSDmBFsDmi
			9cMiCiwDySNbkGcTm6zC+7OmRveGkgADGmr9k/HHw851f7bFDrcf
			dNhpIGQP2vspH1XeUE6/7ipgz02XlAj+tPn1JutpftqzV4xGzHgU
			f6JVBV0HCnYY4hsBuJ0KLlnot7K22yVcDdOVG4AXXXPN0ZxrcT85
			PojMr+0A9tUZixbGqyM1HDHjBesHhM5M5jsiy/4I9STfRSXoYss9
			fVA7R6qY+I+CZ1e+w768Vp88U6yzrQw3eVfy3s+kGkCGuWSffjoM
			AMktyuAZR4qEHLxjcvuI+2thmkntaEzr+89K5rfzqwJu51UlE9Fy
			kvUe8juo8jY/D5p4UzjILNcKlJ1en1U4W+QDMFYDvvBNBjdpG7Lo
			W7Pcz3/CYrzA3cFtM1k4KtGCt4LMAAjQ3TCq9mpcafALB+Goir2w
			3+sAUIaewpioBr7icC8ak/CkO+HYsHaWknLVpxFYnJpXmneDIpIn
			C234V+6NjrPy/9K7t4mywPqk/EshzyV6Zcxob2oyl35cgUxxEiR+
			kggDtyf1DikYa5jGJAAOWvrV/1xvTR+0G7nBE+zq3rnDnxg5DGGV
			pehbeBocSjy95F36xPf+vZSMcRelSxaZwblabpra21K7R7w6ifFm
			WtN6n4tzq+OV3ka1//5yNfoQLVz7oaB0+RhNkZh3veIRLUOXiZGD
			Z1UotkoMi2nQKXHt8UQfiL1qsv3p9/R7RkR6xg+/JgdtqoeLWZnL
			BMGGg6G6yHeUXrkVpOHxBqWM7cSf5q0eUkuvoAYjL7Fc9bwJz8Ln
			h2Q+Jc/fE2RW8Lj/oMIrMmqVYc2I9KdPFkXIhXS7k1zMWgOZfFll
			9fBHK0dpkQNqp8ddFGViDV4YaftjfGfCmykCbcI2WLQrQiz9lUyG
			FP3kIguksUH8q2KwGncLwtq8lMsnrMuShmupzM5/cEPieE/GdoJ6
			YyOFwjtt1Bpg5m4CYOYfxtfn7mNoOqfwaxhm2hkEPearzhF1MLZ2
			9jgiKZYGz0/PdJc1PbMfYcFdLcofj3v3OE7F34imW7b2l5byUuEl
			UNaWcQfOSpdwNfeFhCw2RmeDPQTTPuKl2qjrdxJ7Y/pKinP+pHOV
			d3sl/AkRFzF5HLKQ7LLnwmr24kzhEh6yr0ipPRqvlE9evN888jMl
			O6HJmFbJqTx3VejhbEST7Yrg2tqZYxndM2a8Qj9cJpot3YgaRU3v
			gsDBTxITJQJR/g3K0mNp3Fq+6tzG9Pw+VJHZKmPsLmk+HNlInadq
			du3hLrXh7OhWiXS7qHAqpaWlH+leFAWDf3SkAEOvBVb3+9JHq4u1
			uQX3yAK778umJCkuVLcCublHyeUWTQ0rqu09Cl3cFwItdsdVY0hm
			zE/4Q+j0CobKEbl8Mau7apk1pRLpW1Mc3wvEZ7Vpl+b3hlSCcQUR
			zauo8Z4zawdqRpANu/KLE9/tU9qKjkCFAK41A2WRQuMzgI23eqmk
			5TA+Dz1Z1JNQ4QJwYldxRjLgZ1Bn0VCXkerW5cmscDYk6Vl647Yt
			HRcPSGyzc2UleCLf3z1YH0LbH+df4KiIerSjmHDWwZ+x8Ca+qQd+
			5ALW6c/S8Q9bMnFHbDDHkjQSkEemL1Y2Yno6G9dDn3k8mBiCF2Nz
			sT/gMAbvVXmf2c1lw7b4Hr9hKOEeIbLrKoc8dMEQn57UJzNkqL8h
			UtwrrUvMxEdjpUf1nLXfdtVKMRPW9O+SYDWKRT3mrADUYwUooG0G
			Xqz6nL5hDbFAsFYyELXJ19jmV6wCmJB50NHkq4ksCXQpDVd/6Er7
			PYCgSci0Ik9//hyy5X0mCv/wdUsmyCuCq51KMp1Qqhs+sxB4mBad
			krpvsWGe5JWPxX9PLOxsXFYrNLrnMKcnFCvCCDNRYy1Oq/y1/2FA
			ihFzd3O+kv4SuTlmO83RKFhjeoA7dAbYj7CTDU/kp0s/UpTnVay9
			BUbgkG3ihXdtcuaXFFr0h7WcS5FfP35KKt/kO5bhqMbcYmo7O6py
			OOKGVEy7L8R44E3OtoSwvjK26w/RECokCWsyEkl9cf7hjaWBPD52
			Ag1S3ZktLQ6k5lBWY99d8MpLsR2a73EqZMBladdWzkH+/MOOlGQl
			2Fc4LPGJkAhWYbWuRUB2sGhjY3S11jOs3JT6K95kxoYsswK3M9s0
			VlNMu4yU9bVZ2LeRgjdRXEMSCeXkvv1n3zWoLIK0jsPaMZFDTje5
			OWLVuqGJ016Dsbm4TmlAAzqlgc8P0rKg1yOR3Ep9xugnFtkHRoxH
			Pa/qp+0SZ+FK0R9Aq07b3WDtvLqAjEqbuD6s8cWw1RrGXQEM91bG
			0anbVjd7LAUr2WDdg4Tsb2LJ6X1MpLTv1gAsC2G0xvUL0sALXNH9
			Yv0vbx5hmeVlF5G6RMddCozvHTJ+wkFNh75RTm5/65trmBY1y2C+
			pelYE1p4QPaLw05whM3mZVhBmc2LA/koB0hO9JyCGEGCTEixPlMx
			/RNOCsNLp16AbABfeLraaW77jsBQZQ27nB/SP1eTJGz+l0mGDq8p
			WfocXkf++N3H2vAtfi3Pnot7Bf68kjX+8VWDSAq2Uz72r95Cy+qd
			FbnjJnlJvk6e1P7OgGWNa0P2RWzh78yr4iwNw82HCqnZ2EAUfv+O
			La7xdEKh8zXNqqEIGCI/SYxRd5j6uPJknTtz9qeL+8j9T3oZKhh/
			E2vpGp+NGK7Y9FeMlqKLVpb0fDWx3bnfCcnC+84j7IO6BOGjXjt3
			Gz5uaWoMmE2QbcTN+yh8mKAnEhz6FNuyLVustRF0vRHv6V2cmyfb
			tqdLT6UrA9L5EHtNKyxDk1gZYq+t0uuKnI/uZoE8bx1vTtG54lyn
			fH6TSdKiMt/LVTmxVu2ykeGeVE771sB+bm9srfwilD6bgF1SWdu7
			zYZrFfrZ0fi3SPal4ZeGGxV/5ScVk02X3N4xpaY8iwBz2ULioUnP
			zp1+dIgsnjanTP6P1W39LUqXt1N0/UfJueR03EtRS2XFaBL7Wvvm
			9H2XnhOY1OAw9j4N/tn4krJk72rlt1hj24hnf4RHpAi0FupkFB91
			jAhqpE2OTm70yjh8wneanvaUyWTSgZFagPASAfndjFbUBg0dnpOd
			sTPIqfV1r90wggIK2uofdqKQH8JsuKNq2LUZS7RjbVPdoPijCLi/
			vGCpHaFU5MviqqmoxiGO5bM0FC0hJ5mlgtye61OLBVD1BcWW+BO5
			7lshdNCivzCwsc+5fFC0qh0QjnXa5aHJz6dbbqj9VN3slRG1eaXs
			zc02cuX5isfHkEX6PwbPxRgNo0b8bvZ5ebo2QY6nB7eNELlqUxcX
			R4mivPhxDeSgZVIh07pkJkaXikVuDxPCky2jwMn3JTtAWTnwZdFn
			8zHA6/aj6dobRve6krrIfC8+AdrFyjDOfG0cyRgZ5ft8zLnne33+
			KzTT0if121de/mUfI5UOZTEtirNZW+TEBvlr0jbtFtiPQrl1KpRZ
			kn42CuWYTZ7HVh/X3K/UMaWtdHHhAnLI7wfqsWYl0RxvTjmtkBdR
			RgSspIq6vOke4XAvfnaWmKUYXwrg2h16qSXiUCc6n//AHJrPvGbI
			6uD2fnfYgxMqxjUg+evFZx171AngpkxE9Qt6LCrYN9uyHmU3tili
			TQ+j9+8rUFHfoHeEVnooW2ZJ3VIWwBWnzgN2hWhKdj9o9T4a/Vwx
			tdmKDSRU0ZjJIX7/Sc7XplzlxPS5LiWzQVXo63hKmZvUqKyoEKL2
			Vsl+qvyd74l5nkXUu6TOOZsFbBaiD2iQ9zybIEuaK1Kz/EZHThPx
			FKIWu1fd/FOHRrzwmMTYB98/tL7u2HhH2c37BheH8DGN3kryzOlz
			vbRYYlLvc1oBZVapgOwvTtCYFO+a353UpAwZuoJvqVUL3VgS6rZS
			Ch5njxE2MIWg6wPC9r5hPl+Goe39eJQtCiTSYRZBqYpvALXq7wMe
			JEimbU3rPC85rvryNMm1BWNkTXY79Bg74eOl0/fdP4H1cBHrm0i3
			Wd5YF+JmnVJFtoXMm5SNzxxtbfe3nHX2PIX7Sr1Gf0/AGar0JOZH
			ssxyegV8kjc3dtf8n6nJiQYvON4nmNYK4qgdvlYNlgpFbcSUvo4P
			K67L0jJaYzXQsrPuAXLXMBJbVM2TTbE1aSyJAo6d4Ku1NXPLUOOb
			nJmwoifhyB8xrDJMeTS7mrLNA0TUPUUiPPy36vW4vBJVhd8HbEnJ
			kBUIz0d/QNWNS1SFhNo1XqK5ttEWZp/aY9PK1tI+lv+2C9cpDo2W
			KdKhSjB6NfksRgPzRjJnH8KdF1iHovO8KCULHM1fVWnM/Ci4Hktm
			tawvs3GDEbxw4KjjnOan9+GIF/zy4UXa8JOCWNQfldkVWd938iP7
			NCr4FwmTIL4nia5/1H4GG5gJaGf1qJULjJJe+veTSoc8t0rhniR0
			PdAX774UdS+cNPhOblarQFT4mPLCufIR87bMet+ykVYK6aBiyyLV
			8uRBbPPZ9WD/+Do94W/uzsphYYEYenAsJjg3+8rVRxx/Afr7R2Tl
			TXnqMIVIWIMZEsH+kie0Ye5nlq+EFExbx9ZqKUg2W36QW8+C+9Q4
			e9TdvCHA4EtC5c3R5NbyfeypW5Cm0ZuOneMREYeq5UaKMdtv9TI5
			VHg75RrhBL2/PXWFdtksWvj2a3ylZcjyHPdUx8D08dGZ20hYWFud
			EIAN2IyslyIwwL5wdF3YtPkS0jrxMKUKtGW4GE6d+NnsSYx1RRGm
			3Li80i+JMA3+9DpQ79Iw4FZSRoQuh7KUoj2+r/c9kL/ZTxzwLmsi
			mP02sVekU8t+HSttYOWlT/X6RkAEmcgex1O6QxXl80aGKqHx5/s4
			J4Q2D2H6WY9lC8LhR6menIIPqy96+MqwI9XOkiMsn5yO9c++zB78
			soeFt+EkoNGK8LzasC9LLgq5l3G7YnSmD/Z/BTJf9rgySiD+bBrK
			Y/SC6Xiwxps2WO8lKmqX1PgbfVENvL9LMtCJfCygJRGtljFuyLvc
			cHG8VWKXKc9yO4SPHZnP8vRZdrw6GGkdeT/w25i3Y/rtlZU+X6P0
			g1grB3qqTG0StbJ1j9f2s8KHvjGhR7ZF4fQDmwdXnz/TrItaTcsn
			WJlwU8zMBSG52Qe3TSGYzNc/PNJfOrA0nVG95TmGeYFg1JGK+24K
			W4/7tom0iSm4UmTfzn7YbgiVhZZV8mJ2z4J4Y+RoI5mHzUXcsddZ
			IcnSVXMd9otUhPAitgGekVBcVBcpDpsbiXoKrN3qT+D5nhmt5mBO
			fkrVnDbHHyaiWMBqvYDqh4Ej3cVfK0H3MG9tTUmar3VTxnlJ8KIj
			QP/Li/R/WQ/6/w3u/lP+vxfRDg6FINEIFwjSmfS/ALaybjgKZW5k
			c3RyZWFtCmVuZG9iagoxNyAwIG9iago2ODU3CmVuZG9iagoxMyAw
			IG9iago3NDAKZW5kb2JqCjE0IDAgb2JqCjYyNDMKZW5kb2JqCjE1
			IDAgb2JqCjUzMgplbmRvYmoKMTggMCBvYmoKPDwgL1R5cGUgL0Zv
			bnREZXNjcmlwdG9yIC9Bc2NlbnQgNzUwIC9DYXBIZWlnaHQgNjY3
			IC9EZXNjZW50IC0yNTAgL0ZsYWdzIDk2Ci9Gb250QkJveCBbLTYz
			IC0yODEgMTA3OSA3ODFdIC9Gb250TmFtZSAvWFFBVldCK0NNTUkx
			MCAvSXRhbGljQW5nbGUgLTE0LjAzOTk5Ci9TdGVtViA3MiAvTWF4
			V2lkdGggMTE0MiAvU3RlbUggMzEgL1hIZWlnaHQgNTAwIC9Gb250
			RmlsZSAxNiAwIFIgPj4KZW5kb2JqCjE5IDAgb2JqClsgNDUxIF0K
			ZW5kb2JqCjggMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1YnR5cGUg
			L1R5cGUxIC9CYXNlRm9udCAvWFFBVldCK0NNTUkxMCAvRm9udERl
			c2NyaXB0b3IgMTggMCBSCi9XaWR0aHMgMTkgMCBSIC9GaXJzdENo
			YXIgMTE0IC9MYXN0Q2hhciAxMTQgL0VuY29kaW5nIC9NYWNSb21h
			bkVuY29kaW5nID4+CmVuZG9iagoyMyAwIG9iago8PCAvTGVuZ3Ro
			IDI0IDAgUiAvTGVuZ3RoMSAyMCAwIFIgL0xlbmd0aDIgMjEgMCBS
			IC9MZW5ndGgzIDIyIDAgUiAvRmlsdGVyCi9GbGF0ZURlY29kZSA+
			PgpzdHJlYW0KeAHtWUVUXN2axd0JIUFCYcGhCnd3gkNwKaCASqAK
			KKjgLimCJLi7EwjuBAkECEGDBHcJ7hICNO9/7/Va/ffqUQ960udO
			zvl07/2dde/gsjIqw2HuBl4uEBAPiBcoDjDWlXtpJM+loKmpJgIA
			8YKAQGJWVgU3CNgdCocpgt0h4gAQiI8fxAcUJWYFKMBdvNygDo7u
			gFJ+IFAAIOfi4gR5sDq7eLhD3LgBajBbXgAYZgeAuiMATlBbCAwB
			d0NwA8BOToC/8hAANwgC4oaE2PESg0AAO6itO8AG4gCFEfP9A5ga
			zB4OEPun2c7D5d8uJMQN8QAHwP4XQI6HGmA7OMzJC2AHsX9I9HBy
			0gI7QwDsf7H4b26wM9TJ618B/0IK0ITbQdxgfw81gvzFjV0fBnbR
			d4S7/92v5g5+ICUHc3ggzQMS5AUK/hMBFKEM9YTY6UDdbR0B9mAn
			BOSfdkPYQxcnKAyiA0dA/yEoAPg3h4Ej1PY1DIJA/MsDedDub+we
			ZPkLPN9/GdVfzHXA0H8O8991/z1cwIO0f0nzkKwJdneDegLMgLxA
			IAj4EPnw/OfW4m/dlGC2cDsozAHALyQMALu5gb0ewkEPJyGADwgA
			feDjCYB4PrDk44XB3R96AB4m7wewh7sR/2NeIAAf9B8W4v/OQV4e
			7gnwAQJ4+IUeKoJEQAARIaDf/9Re3/3hFoHd7P4Tz0MrAlsPNzcI
			zP2vS/MgFPG/zvbQh3FAIJ4QW+KZKbitROirlPRU9yrq7K/fFY1b
			XzRnCeO5cHsGMzuUXb03CY+1vebHtSN4PTnLqIKizFB7hpHvcxoO
			57Dbnno/EZ3tpG7ZzWx4RSGECGIJWX6dFLmtYQUoDc7ZNLLzEHqc
			XB4Fy5EVMjeUP0mezv/EXh6/g+u6POncgXb5LePXTXb38l4VMdbk
			+emJRoqPgbONezKNit8BRY8yc1dg21weuZsNkqwHYc8/VgCV9nLN
			kOiROhfAfV/IM/TizPBjN+VFdU8LywevOWEM1pdBYEPOx4684sJY
			HV8yjWgZYp+ImB0+C+xB6mBwDpQGB2fGVi/TIN0IdGfUKgqIU7El
			r2MOKURWO03fyILUkeqVLo9S4ZG8VNq9HNoW2HmtdPWy4m4h9/2k
			YqdtZrgTlFYTNKpGc4kutpyns0ix0m45b1Sgx0Ck24lyN73k0dws
			aoclrUUjPj9uSdIf8/fr+TVGJqJbyTlJKYoB5Y0vVr9mzI8QfjqT
			Sx1Gl3meLTMUcrXmjCY2WzQl+4/YJNxHnoqFzrIk5h7NJdQEsEor
			yA41f9x3O3uhyclL1RgRxrjKWvu96V3c2jyy7+XrsCf7dN/80HrM
			/5jHjOBNmA906NMX095mKRwxrQzW9WUps/fgMrM4IwKu/aXXCPix
			z51DIncITBR7c0tKGX9opfW8uAqyz7Dw8RWReis92liAH4m8MjsQ
			2g+KHXeuUz38g+iI7mI4e4fSGNbHXFgXhVIWl6wsoUNYwkevxoJ8
			bsG4xTw7Ukyhdz1MZTOU9eUpFhNXHMrWYpLeF3S3RYZ/QqnFYLia
			dAYTqMCBFAFX7XsPdiupEsyfF8fwyxiCbYSpMi3ZnF2KYT7rsYeK
			d/WCmFbmca6DnRfuUwlWFpbxxYY4jLtyvayiEApWxXkLZcMDZtKv
			Y34mAphIHR/fsz0F71/FwSJzDW85Dd1sGw7ySw4Cvg5ZlpTmxLzg
			72WzgYW2OnX0QbmziVwx55YmiFeGSvDa/J4v1povy1UG7BQUpTU2
			MABb9YndOdY02IyFVR+N9LrQJFHbEwfO43FcaMRR/Epk29lpKh7h
			wPHlEL3TWBhmv6zU2CsvzZPTARHoDj6JIsHBtKYasMBQ3dEonWS5
			vicEEoS8qpElY92K66LeYNPwj5d6k7cW08yedOn7PJgFa/AOsz1M
			2VgVZ5K51nW3mmdtQyvGQSrlxWXtkUZKc3DMzHIVYrLWYnEseXTG
			MMcx2x5WiPFLViaf1hg74m7H1W85Oc2iWOSAVCW0Wnt6KVKORJ55
			elqYq9Xvkpa+gKEhng7YMj7m3b5MNWKLc+1Ou0nCdtQhDDv8Qxrc
			5aBEVqOXADmU3mOu97vgx6gHZGgog5X1VjuF+0pGY0/4n/Qcm8v2
			n7DzIX0h1F8uqnDPHWUn5GZoNguV1XMgvAfLGJYnJjGqJUW09BD9
			Nxxq/ZvDowM3pI+KCaR0u/jPOTHe6YAsSLMwZb7ktiWsyfCNSC2d
			K5/DcDAVheLP1pavnH5XCIZdRsNScbSYlNMFvYSPVIDQg/OpjiKK
			az6pZEdPAz5XLYuMnkDST4c2K1Sr8krOnI3NGcGJFw5PU+P/rEhL
			UUkcIiePKnvSuGEkSrVbAz9nMM9W4FiW1m2bi1mExM8vDokpfNcp
			yVP85UKUbY4Cox5bf+8zviiII1euN1V+HM3kO3MCtlfiSWsNFGoc
			Pp+3zrZwx0dWjxfRDu62bzyb3aM0N7QTxAurRyVYhAy57Op758kM
			3ScK8K0yiE3LkBO6fuCNkdTTTl0jfWW1WofKtEMvVOeQE9K21y24
			fQK7wDKWl0kp0T3oBM5U74zD2ZBcpsfYx/5VOuOfcFW4OLtYFDOt
			XZeJ1cW8APkyqdZ7YiEl28qAWT2UFdc9I8uExloB+psocqzqOAj0
			jl+AkCcJxxS/WVzS4K63dqsjgatmd4Xt5tKgzRu+kV/xhcws9IWY
			y3lE7qGGW4C4YLn0ABYXkNNrAjIv2NZ+aP6OvJlDu6jAd+98MUY+
			IV2GSMITe9h8XwEfFZ7eMQFCOtaNie4TCULYI/vZmnMPx5JXr3K7
			WeqiHzlVd39f4gxJPw+y5GXneV/LGHD93ajOewlCdsAygU2NobT1
			6NKh4NOP7Cm6sYDWd1KIpPSj5cPlQ5o29s1XPNzqpVbHf+TTjQJC
			2mumGv073eo3NILG7aKzNDzO8o0cFXhXeJ+G2Qge+hJfWVdH6F5i
			eKyjp+RHEDsvPjJOXRNuI4joVHKmOGII3cFR4s/EIWlu7iSMHvHh
			ZBldlIBluz29QbMnoDIhJ2fbJoXcqYM9xNuXPgiQIet9I037fVwN
			2lgtBTfSPlIXdT17xSbh6PMtrEww+0r7euSg6nChSiZnfugE9YvN
			Ph1Fwr8KzVja+pHk7xyuiDN+sq9XGTJ92osv0HuVsl22UGDVNLd7
			TB57T1ttMug0Wil4XrwuSKZAZZUz7L835nTScn1GRJhrMV2CqA3d
			Oxh3qDa+Jzs+HVpP31tLfVREPrg+TOGb1+QwY+gUFEk3SEG8ii/P
			Wv8KU1orr3KoL8prTtFnpS6WfWGq2Gn2XUViJINHM9vUCdnVW92R
			J3NK4yBRlimE9KVugPLTJ9AIER2cAXkFNVGRuotD6lHZTacC5oPq
			aJdnqmn8n7Gx3cozGY6cwr//7NbQ7UXqYhbWZ7f8nC5q9D3F4ZOf
			u+z0VfWPPvwcNeHZLPCDjck+dDoBVNT3RStaZpWDxuWg8rehhSHN
			H47ZPBIR9UPOdRMJzqOD53w//EmtUcD4xFmt40+9FHSJBiv38qvC
			WQLbnbpePGqHcAznPRNXtOeuwbvdq9e+7VY0RMFdfSL0WgFcyomJ
			P5P8/KXGqyrSNl1+5s4z/Z6AUyOH61Jjstrdr1/5hrD/VrTvawi7
			NC0LMJukiExopLukta02tf+ZkcwKmRihoqqIsPbApRkTqxLw3RwV
			m+W1rbr+tZ0UF1uf1et2H1V7faa2qfnkOOqItlvN9a5OPanGqdpb
			/beyVIWlq+T0QHB3pK7N4OZLut5n93EjkCdaKU4a65YjIHTKfKqf
			jQp0eDt2UvwpMaMrLAl8L76mftu2oMyLRnhQNANXNn9ynxx5td4t
			wplWoui2YZaYBQJx8PycdJ0JfiFUcBS7mV6N+dknrj5j09UriZCy
			8t+VkBEZZm6zlteR66fVH+NRlj8PPfA+sHvrQWmGkpxPP2joR78B
			6TBQPakn07lSq/twYpGGsnTmZkQNz8Ir9MfSaDYCGm4YCywkx9OH
			vJ7ozVsi6tEJhDJJ4GroNvtauOinx63GWz56r3h60AC4B+ahGd8C
			ViqSeB/LxEu9ZTA67yL1TQiDWpdMFWs8Sye4JVHDM+9/35DO8Gpw
			96eNc/JnzPYjwGF2Vth9Tkk8lsE7M0xkNm7REruMmtJw+F5HFrPq
			ug+hRXQgY0uTzLheNk9YD1uP92kf71ebvOG4aiLz+ZqQMvFPQfdC
			H4PRyrzft1QXxxWksSe4MgR3BDYMobXhvh5+TBDYjo+awZS/Ey2+
			2Yk0Qf1oyw23M7JBMVzu8+6IqGmaEOR8cVbj6nHuHVYKmKNP2iP7
			eJE8uX2Vce58NYU7i9VacsP4ViAaBJ6zRDqwZ1FJpEDOJcnGx5XC
			JhjPM/10HTG/oCfru4b9sSw8i3XznJtwBNZ0Jjx1Q/MzoWS56UNO
			jXXOMIBSGd9IFT/hwY9/vmOPAlhB0k7QHXgqlFinWbbYaBWMewtl
			jlR8nQhJsmt0raJ757JNhNdZkO6Xp/Fvbh67vsTBn8xypn21yxa0
			RNZ2VLlqC1xBq1XrII7slyG91D1jnaW/xRAnGqD8g6LDkhKXOkdh
			3rygMxT7RRVCpw0/k8DKmYiNi5c++NCW04ClIj5oPPbWxeGjv4LZ
			GBi46TW2uDu77TYU/n3Fb0w1LIsp28DFlmqBToG/MJblTfHoO5/T
			HEIBYCR7Y1dKS5RkZdnujNwm/1BVGuwFt+3XCyUI6hHrn+Zd7Bc/
			QMG5BOaxsXg5kdBmnKcsTDxKdUqCVAftHz0y+daANniXLb7Lucuz
			StdBYk9/ycqRMYdhVlcR+iYu6m8lBozfYZvhMBLUuNBu7I7iynXR
			LGvT5ih+eqnbw0DlGjq9TVSD7LukOrZ7Hsse99tzdU/Gu7y4qRBr
			DeVgfSD4Qe+4H2zHzZok8CvoUzu70KvAcnzamLos2qhVHXAo3ljJ
			584exo/9pdtqi1mX0aEctoFy/Pg7llubyVUvJeMzaisiGxwvfEuJ
			Pl9hoNdmb4qIHDo8t0mjsDzTGpyNyxEQVKxkyLtbtEp4y7K1Z+ye
			BrfmND6OySyT1HhvFulRfD9lRMbs07Q13COLIMCLcryWN7i206mx
			R34+OnlVPMcxE5Yr/aS0mcyLIHwc84VfEoUShztyY32F8yD22P/C
			s64mRuKzqgkJ7HEo0md0ACd3lEaTWXxPlHyzSKYumXO+mgUTjSMN
			0T+ivYF0xECUfbuvSuC+TiMIEn4k3xcgusPqO3NQ8dFcO7DF4LGL
			w6lf5qAx5JabruZdZbO1iyJiibIQoUNinJA9PPxWA7pzTy6CvTrM
			y/g0JQX2Ipo5mq9xiZOBarfIfVF35iNMsgHTnSYLKPWKwLvYPqnK
			cNHv8iN+SN1xAiHsG++BLjidw0+BUqA6GPrtd34LEKWEEf+KttXc
			hK1p/fhGX+vD2WOi2H25rls+srrpO76ar4ZRkV7wWU06fUBlfsWj
			L1v0CpFfSarK2Ftms7Espt4ybuSikonbJEElpKd0MLYKXNDa8nPl
			KeUffbYn2feteLqZN+RHmu1m84cldXfh5mqXptaX47GbvhJqN+2Z
			+LpiNpctS7s13Hz7Ul/TVqzTewI0sc1YQZ6JJaXm1tdKLQzrht9F
			dXbztqQXhKLe9xuap6UNWHDFexbFxc7pGfDb/hb9Yna7Ucwsu8p6
			JDa1Fih+Uk4OdlzJzpLfMsDAVl31mjlhSfK9iuL8iYh6eeGnBjLH
			shIhtOdp0DHg8gluSmh7Y4PxQ+yweITwXPib37ZV64oYBajXCg27
			NNFpIY3H3bDbeeI+qGc5AJYEaJpulzebxZRgYRS6nGJKdeWKvsFW
			NqxOx97oTdktjwxt6k64NCX1YVqcdFGPuocTW6lT2HqdsBCyftbE
			5iZ/eHN8UYH5/QK+S7ZOY/YqCcMpFvcOozXFx349b+zPaHE/Iu4v
			kqFpdzKTqru30M/7zB2dzyz96hNBECH1epdHeIKj1aDU72wu0ce6
			E+XYW/BTQpG7FXWn4sL5JE815TKuHj4xpeyteAI9npdi4gxfMEx/
			Qaa+Ya/rplok1ZfbR2C4lXJCvMlgLQbaZu5c7KICeo74exnEIQlQ
			JxMd+kodLdTORZrzgjjHGo79b0UM8Rw8ioKoQopPY00HK8jnY9e3
			bXGRVhaHhOJyHDYnkVp1s7auWpULhmV+P9F0TT9QVkEhEcLXPF8i
			A+DSk6OUz85O0pt5Evq/RZ3Yxx1SroLXDZ4ikBuKDb0NgRagty1M
			KRnOe3x1dnaajeDNyJFZVS3qbnH6R+GgJ9+ghrEhwZY7b4Yqqp7l
			xl0kbxxHGu4WqcYf5S8P6LSffG0zh7GpCuK/O9kmWtGMyb7/Mxv+
			sonDJPyeWWV9W1Dd8r2kSxx4TrHpg93v/dOCbYS6z5jCiCSjTUXu
			kkMHCL0l3PVzsnduJw+BtIrGB51Wd2+6vOsbFst0fDP766GIzMVg
			vm0W6O8mK+5OzXMOg4vXho2yNCMoyxKyk9G5AM8oHJCdvILqIxpK
			hPPMGE3flBKmINZ2IvF93wg6cXivRJR/Vb1wbfN7HfxzS2T5Fkn7
			Ffuqd9q12HxcekrS3oZoo2T/r+53ViVkV3fh76mcr5Eqn0VwHHWw
			iGY9r7kvOHzmIQH84bhDqslZXeouKvO7CrlYvLxXZgXe6Icir2UZ
			tvGcIaMzJUmPrAJ1694G16/NNrxC2BpGVsf0vFKnofv6ghz5tuM7
			Hf4E4dieEvU4zxKTsGye8OP1lWSS+4ynF/b7852t5swJv2RPib9J
			/d5ObTqmItUOsJcjB0sg8Rt49TXXsttqcE+EI04t8ZM316IwNI7M
			I7/5RtzLSaGrWl+TG9kHF45Rc6Nfvp70AidvYea7i3VyaajZfZ/Q
			KrypQP+QFWyKbRrKWyxTxlT1jEXiRC62o6Svb7u5YQwACLzCmpQK
			Zs/FiryBTtfvad8H3qa7SLXsdH+MgoUy6bRPEU2NNEfP27pW01tr
			cnuXDgYv0NI5XQ/VLmcwyV4J4yQnW3SVM5Nsa/5E+r9FIch2T35U
			aWdluo8qLFQKv8wzTeZXOTdU4WJ9U5cmX3h4mYD/YQ5sxliFqWZp
			lXb3+ZHtfNxyX2WQM6Cjd/DMjiN6YNnDP4uHVh/NLZYoxmm+OB3S
			gQ+tnKufRWVj3ZOPbEm+pM1pCSQorDZYbz45S1Zd9sHoXmMVD2u+
			x16SIiN6bj4zuR7wiUx1hKVPp/P0rPC7T0jT0WG5ZHEOMekgkYlT
			Ru50xRqwtVWF4u6xay0faqySPdBWe4WRv282FJM2+BYvjuvzZilm
			7u8o0TYWzcLQDq5L8bUpKbL3YjaSh5zGJ9Nh4sVcRJK0KRiG4fSp
			cEZ/jCd8kiVauoQx8+C5JQssZZUPt4fi6nE8mKX0EX33TXPxmZIz
			lEYFBl6ppv0b6/GmEWzvw/QCBHvEM5h6T5gTJt67pv+IcjGL0Vy2
			+LiWmIQ3m8Mt79qLl9/YYBdBsUIINa4VO89EqYhv09vvN1caRwvx
			MEmFtxdRjGHItSXJyyT9klhj6HdoRkdu8Ot4w46f9fuSCYJxJbGX
			iSbG69Q/FOPxfxHQ6BpHdd22sRaCs3aOCuhqUyYuxQKSXOsyv8cT
			ATQYTgYjGtr+sDJkzfUUZH8pfXe0ZFb4VkqdeDXOsrmpJ1x0IqJV
			kkOzojMsKnyNvGvs5fr0BG7ftqkXkevbtA2qOArZuOOkMe9BjD+9
			IzDTTTxrhiqW4ryAC3a0/qh0eMqV7et31gR1/n7FfLqJFtNecWaR
			O32gEzqEnlutWwiQ36Q812c/umKoanCbu5YbWkREd/IZwsqmf9ER
			g1EkNknp70F3RXKUr2kduk0dOiXAdtuTRELsoY0CL0ItnvZ2HFqM
			iA/4JkTUsdS/Wii3T5ufIJEgYmzmADSrDJyOvoZAbLzGWrJDD40+
			Sb8S/k1iE15EIiiM6hs7X+gYkK6j9Y874rMKL9f2WnhamEvem2/q
			iWNzWM0Bffrz+dXx5LD+8MeUx0ACqsEYdAzWbaBKOkO8zUL1henx
			nDQr6dcGhwy2Ks9nSJfVjxIIHpeJdi4Rp9jPJuJMtRbxhnLV/sWf
			iqlFCzpkVO3kEko2vIccblpEh42sZA1aaLFRQ791K0hy0JXKfEMc
			J+fCrdZ12Jt4MmgQKp/0J+VIb7t7rtMwSxuaJvEbJYVmOBMi6vON
			eGDziW+d/DT9wxn3cK8a0btBP+h12RnXthIlGUg2cwLalvn0Vhfc
			Na1R8ctBNRG0xNfdWK0vosfIuzMSrg/chMySyFhJ0LMK2UGh9GnE
			QovvmS7SvW5qmzfVz1fdInWLdufG2PhvNai/YvsUt4U9LXh+tz6n
			vmi9diZwtnkbUWJjyr65XsQxsGo0+cTler2bs9y/PuwH6HlYnten
			oJVnBNcBnwQVq4aHvM7Vt9DCP5gEPTrhAJxfan4WMLp+x6qxGjNI
			30dzyWeENijlqnj9XI/q5WsCl3LUY3cbz9fxEg5opkhFP78k8rN2
			PR4/uPb8eoto2DuLWDSNqhVCZ1mbM9l7Fss00dq1RCi0trhY4dNK
			J6HINJ0DGzbmdlaN2HulXHMF2ZG+yxMhIhvGrh3bdOmjhJCe1Mnu
			c4FihjvI/DeVm1rKuDttYz72qC2rz5c5R7Xh/osE2CRvLNv45Vdn
			NNlzYmuJfDTt1EHc2Lr9f0rZag1zzL9lxgROwvn6F99rDp0Wl4yJ
			BFYcMd90ghRd8bVxurrGMsOCF3MyWvr3yUkhBPzZzN24cg/fiDLg
			/SlNnTtYM03+0ed7TerFxR5AJLWCAHu7OgHbtaPGzeclodO5PNJM
			ryhi3gnB9YvGyrbUtEhaNIzvSVVGdjLEGd3HCCFSxAtt2dbnDSZ4
			UlxOCbnljzx1LzmjRi2eKpUJeH+8FkXOGoJdcoums4ggaJJ61Jp9
			K54iXJJjnIjXRyPW3mhUVxMTOlr7jXJVMUQv86neoTYMxruHeA+u
			S9/lLtb4jW4jO1Rx2sBET7gRXHVDm7sljfvSwM72fYvtfK38dnrF
			lGmLPdYjB0FFY0JVLxxN3fQkj32+5CnXX+70x0njT1z4XAXnk0Ke
			NtDkXWG0TAuU0Vug79PLExBtBZT++EoBf3E5JLJJag1H6lQqOPRr
			gv6cv2/ocAT+Lxfx/zIf+P8FHn5V/t+LaOsEAbu5w53Bbq+J/wNs
			vJKiCmVuZHN0cmVhbQplbmRvYmoKMjQgMCBvYmoKNjg1OAplbmRv
			YmoKMjAgMCBvYmoKNzM1CmVuZG9iagoyMSAwIG9iago2MjUwCmVu
			ZG9iagoyMiAwIG9iago1MzIKZW5kb2JqCjI1IDAgb2JqCjw8IC9U
			eXBlIC9Gb250RGVzY3JpcHRvciAvQXNjZW50IDc1MCAvQ2FwSGVp
			Z2h0IDY2NyAvRGVzY2VudCAtMjUwIC9GbGFncyA5NgovRm9udEJC
			b3ggWy0zMSAtMjgxIDEyMDIgNzgxXSAvRm9udE5hbWUgL1hRQVZX
			QitDTU1JNyAvSXRhbGljQW5nbGUgLTE0LjAzOTk5Ci9TdGVtViA4
			MSAvTWF4V2lkdGggMTIzMyAvU3RlbUggMzIgL1hIZWlnaHQgNTAw
			IC9Gb250RmlsZSAyMyAwIFIgPj4KZW5kb2JqCjI2IDAgb2JqClsg
			NDA0IF0KZW5kb2JqCjkgMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1
			YnR5cGUgL1R5cGUxIC9CYXNlRm9udCAvWFFBVldCK0NNTUk3IC9G
			b250RGVzY3JpcHRvciAyNSAwIFIKL1dpZHRocyAyNiAwIFIgL0Zp
			cnN0Q2hhciAxMDUgL0xhc3RDaGFyIDEwNSAvRW5jb2RpbmcgL01h
			Y1JvbWFuRW5jb2RpbmcgPj4KZW5kb2JqCjEgMCBvYmoKPDwgL0Ny
			ZWF0b3IgKExhVGVYaVQpIC9Qcm9kdWNlciAoTWFjIE9TIFggMTAu
			NS41IFF1YXJ0eiBQREZDb250ZXh0KSAvQ3JlYXRpb25EYXRlCihE
			OjIwMDgxMTIxMTc0MDMzWjAwJzAwJykgL01vZERhdGUgKEQ6MjAw
			ODExMjExNzQwMzNaMDAnMDAnKSA+PgplbmRvYmoKb2JqCjw8Ci9F
			bmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZwovUHJlYW1ibGUgKEVT
			YW5ub3BFU3NsYXNoZG9jdW1lbnRjbGFzc1sxMHB0XUVTbGVmdGJy
			YWNrYXJ0aWNsZUVTcmlnaHRicmFjawpFU3NsYXNodXNlcGFja2Fn
			ZUVTbGVmdGJyYWNrY29sb3JFU3JpZ2h0YnJhY2sgJXVzZWQgZm9y
			IGZvbnQgY29sb3IKRVNzbGFzaHVzZXBhY2thZ2VFU2xlZnRicmFj
			a2Ftc3N5bWJFU3JpZ2h0YnJhY2sgJW1hdGhzCkVTc2xhc2h1c2Vw
			YWNrYWdlRVNsZWZ0YnJhY2thbXNtYXRoRVNyaWdodGJyYWNrICVt
			YXRocwpFU3NsYXNodXNlcGFja2FnZVt1dGY4XUVTbGVmdGJyYWNr
			aW5wdXRlbmNFU3JpZ2h0YnJhY2sgJXVzZWZ1bCB0byB0eXBlIGRp
			cmVjdGx5IGFjY2VudHVhdGVkIGNoYXJhY3RlcnMKRVNhbm5vcGVu
			ZCkKL0VzY2FwZWRQcmVhbWJsZSAoRVNhbm5vZXAlNUNkb2N1bWVu
			dGNsYXNzJTVCMTBwdCU1RCU3QmFydGljbGUlN0QlMEElNUN1c2Vw
			YWNrYWdlJTdCY29sb3IlN0QlMjAlMjV1c2VkJTIwZm9yJTIwZm9u
			dCUyMGNvbG9yJTBBJTVDdXNlcGFja2FnZSU3QmFtc3N5bWIlN0Ql
			MjAlMjVtYXRocyUwQSU1Q3VzZXBhY2thZ2UlN0JhbXNtYXRoJTdE
			JTIwJTI1bWF0aHMlMEElNUN1c2VwYWNrYWdlJTVCdXRmOCU1RCU3
			QmlucHV0ZW5jJTdEJTIwJTI1dXNlZnVsJTIwdG8lMjB0eXBlJTIw
			ZGlyZWN0bHklMjBhY2NlbnR1YXRlZCUyMGNoYXJhY3RlcnMlMEFF
			U2Fubm9lcGVuZCkKL1N1YmplY3QgKEVTYW5ub3RyX2lFU2Fubm90
			ZW5kKQovRXNjYXBlZFN1YmplY3QgKEVTYW5ub2Vzcl9pRVNhbm5v
			ZXNlbmQpCi9UeXBlIChFRXR5cGUwRUV0eXBlZW5kKQovQ29sb3Ig
			KEVFY29sMC4wMDAwMDAgMC4wMDAwMDAgMC4wMDAwMDAgMS4wMDAw
			MDBFRWNvbGVuZCkKL0JLQ29sb3IgKEVFYmtjMS4wMDAwMDAgMS4w
			MDAwMDAgMS4wMDAwMDAgMS4wMDAwMDBFRWJrY2VuZCkKL1RpdGxl
			IChFRXRpdGxlRUV0aXRsZWVuZCkKL01hZ25pZmljYXRpb24gKEVF
			bWFnMTguMDAwMDAwRUVtYWdlbmQpCi9CYXNlbGluZSAoRUViYXMy
			LjY5OTk3MEVFYmFzZW5kKQo+PgplbmRvYmoKeHJlZgowIDI3CjAw
			MDAwMDAwMDAgNjU1MzUgZiAKMDAwMDAxNjU0OCAwMDAwMCBuIAow
			MDAwMDAwMjY1IDAwMDAwIG4gCjAwMDAwMDE0MjggMDAwMDAgbiAK
			MDAwMDAwMDAyMiAwMDAwMCBuIAowMDAwMDAwMjQ2IDAwMDAwIG4g
			CjAwMDAwMDAzNjcgMDAwMDAgbiAKMDAwMDAwMTM5MiAwMDAwMCBu
			IAowMDAwMDA4ODg2IDAwMDAwIG4gCjAwMDAwMTYzODAgMDAwMDAg
			biAKMDAwMDAwMDQ3NyAwMDAwMCBuIAowMDAwMDAxMzcyIDAwMDAw
			IG4gCjAwMDAwMDE1MTEgMDAwMDAgbiAKMDAwMDAwODU2MyAwMDAw
			MCBuIAowMDAwMDA4NTgzIDAwMDAwIG4gCjAwMDAwMDg2MDQgMDAw
			MDAgbiAKMDAwMDAwMTU2MSAwMDAwMCBuIAowMDAwMDA4NTQyIDAw
			MDAwIG4gCjAwMDAwMDg2MjQgMDAwMDAgbiAKMDAwMDAwODg2MiAw
			MDAwMCBuIAowMDAwMDE2MDU4IDAwMDAwIG4gCjAwMDAwMTYwNzgg
			MDAwMDAgbiAKMDAwMDAxNjA5OSAwMDAwMCBuIAowMDAwMDA5MDU1
			IDAwMDAwIG4gCjAwMDAwMTYwMzcgMDAwMDAgbiAKMDAwMDAxNjEx
			OSAwMDAwMCBuIAowMDAwMDE2MzU2IDAwMDAwIG4gCnRyYWlsZXIK
			PDwgL1NpemUgMjcgL1Jvb3QgMTIgMCBSIC9JbmZvIDEgMCBSIC9J
			RCBbIDxjMDQ5NzUxZjM2NDZiZWUyMzE1M2E0MTQ5ZWI4ODFhNT4K
			PGMwNDk3NTFmMzY0NmJlZTIzMTUzYTQxNDllYjg4MWE1PiBdID4+
			CnN0YXJ0eHJlZgoxNzc1OQolJUVPRtQNLS4vMDEyM1xOU0F0dHJp
			YnV0ZXNYTlNTdHJpbmdfEA9OU0F0dHJpYnV0ZUluZm+AHYAHgAaA
			G18Qylxkb2N1bWVudGNsYXNzWzEwcHRde2FydGljbGV9Clx1c2Vw
			YWNrYWdle2NvbG9yfSAldXNlZCBmb3IgZm9udCBjb2xvcgpcdXNl
			cGFja2FnZXthbXNzeW1ifSAlbWF0aHMKXHVzZXBhY2thZ2V7YW1z
			bWF0aH0gJW1hdGhzClx1c2VwYWNrYWdlW3V0Zjhde2lucHV0ZW5j
			fSAldXNlZnVsIHRvIHR5cGUgZGlyZWN0bHkgYWNjZW50dWF0ZWQg
			Y2hhcmFjdGVycwrSDQ42N4Aaojg5gAiAFtMNOw48PUFXTlMua2V5
			c4AVoz4/QIAJgAqAC6NCQ0SADIAPgBFWTlNGb250V05TQ29sb3Jf
			EBBOU1BhcmFncmFwaFN0eWxl1A1JSktMTU5PVk5TU2l6ZVZOU05h
			bWVYTlNmRmxhZ3OADiNAKAAAAAAAAIANEBBWTW9uYWNv0lJTVEVY
			JGNsYXNzZXNaJGNsYXNzbmFtZaJFVVhOU09iamVjdNMNV1hZWltc
			TlNDb2xvclNwYWNlVU5TUkdCgBAQAUwwLjUgMC41IDAuNQDSUlNd
			RqJGVdRfDWBhYmNkZVpOU1RhYlN0b3BzXxAUTlNEZWZhdWx0VGFi
			SW50ZXJ2YWxbTlNBbGlnbm1lbnSAEoAUI0A8AAAAAAAAEATSDQ4P
			aIAToNJSU2promtVV05TQXJyYXnSUlNtR6JHVdJSU29wonBVXE5T
			RGljdGlvbmFyedMNOw48c3eAFaNAPz6AC4AKgAmjeClCgBeAGYAM
			1F8NYGF8Y2RlgBiAFNINDg+AgBOg0w1XglmEhVdOU1doaXRlgBAQ
			A0IwANJSU4eIo4hrVV5OU011dGFibGVBcnJhedINiouMV05TLmRh
			dGGAHEkdAAEBJwCFAQHSUlOOj6OPkFVdTlNNdXRhYmxlRGF0YVZO
			U0RhdGHSUlOSk6KTVV8QEk5TQXR0cmlidXRlZFN0cmluZ9MNLS4w
			OZeAHYAWgB9Tcl9p0g2am5xXTlMudGltZYAhI0GtrlQk4pWF0lJT
			np+in1VWTlNEYXRl0lJToaKiolVbSGlzdG9yeUl0ZW0ACAARABoA
			HwApADIANwA6AD8AQQBTAHkAfwCEAIsAlgCYAJoAnAC1AL0AxwDS
			ANsA4ADoAO4A9wEJAQ4BFAEWARgBIQEjASUBJwEpASsBNAE2ATgB
			OgFBSV1JZklzSXxJjkmQSZJJlEmWSmNKaEpqSm1Kb0pxSnhKgEqC
			SoZKiEqKSoxKkEqSSpRKlkqdSqVKuErBSshKz0rYStpK40rlSudK
			7krzSvxLB0sKSxNLGksnSy1LL0sxSz5LQ0tGS09LWktxS31Lf0uB
			S4pLjEuRS5NLlEuZS5xLpEupS6xLsUu0S8FLyEvKS85L0EvSS9RL
			2EvaS9xL3kvnS+lL60vwS/JL80v6TAJMBEwGTAlMDkwSTCFMJkwu
			TDBMOkw/TENMUUxYTF1MYEx1THxMfkyATIJMhkyLTJNMlUyeTKNM
			pkytTLJMtQAAAAAAAAIBAAAAAAAAAKMAAAAAAAAAAAAAAAAAAEzB
			</data>
			<key>bundleId</key>
			<string>fr.club.ktd.LaTeXiT</string>
			<key>refresh</key>
			<real>0.0</real>
			<key>serverAppName</key>
			<string>LaTeXiT</string>
			<key>serverName</key>
			<string>LaTeXiT</string>
			<key>version</key>
			<string>A</string>
		</dict>
		<dict>
			<key>ApplicationURL</key>
			<string>http://ktd.club.fr/programmation/latexit.php</string>
			<key>appData</key>
			<data>
			YnBsaXN0MDDUAQIDBAUGCQpYJHZlcnNpb25UJHRvcFkkYXJjaGl2
			ZXJYJG9iamVjdHMSAAGGoNEHCFRyb290gAFfEA9OU0tleWVkQXJj
			aGl2ZXKvECMLDBIqKyw0NTpFRkdIUFFWXF5maWxucXt+gYaJjZGU
			mJmdoFUkbnVsbNINDg8QViRjbGFzc1pOUy5vYmplY3RzgBOhEYAC
			3A0TFBUWFxgZGhscHR4fICEiIyQlJiUoKVd2ZXJzaW9uWXBvaW50
			U2l6ZVpzb3VyY2VUZXh0WHByZWFtYmxlVG1vZGVXcGRmRGF0YVV0
			aXRsZVhiYXNlbGluZV8QD2JhY2tncm91bmRDb2xvclRkYXRlVWNv
			bG9ygCKAAyNAMgAAAAAAAIAegAUQAIAEgAAjAAAAAAAAAACAAIAg
			gBlWMS4xNi4wTxFIYCVQREYtMS4zCiXE5fLl66fzoNDExgo0IDAg
			b2JqCjw8IC9MZW5ndGggNSAwIFIgL0ZpbHRlciAvRmxhdGVEZWNv
			ZGUgPj4Kc3RyZWFtCngBfY69CsJAEIT7PMWUWmSTvdzeT6toHzjw
			AQ4FhQjJFb6+6yVoJ1vssDvMNzNGzOh1OIANlisueKI7FkYu9dGj
			ZPUwhdWnuzXOkxWHltlHPeSpOSREis646tok20BeY514MoMgTejO
			TEpDumH32iM9cEq1xD9AkycowFH0w1pjkyxCwYoChLzV1A/AfAH3
			H2B8A/AzMYkKZW5kc3RyZWFtCmVuZG9iago1IDAgb2JqCjE1MQpl
			bmRvYmoKMiAwIG9iago8PCAvVHlwZSAvUGFnZSAvUGFyZW50IDMg
			MCBSIC9SZXNvdXJjZXMgNiAwIFIgL0NvbnRlbnRzIDQgMCBSIC9N
			ZWRpYUJveCBbMCAwIDE4IDEyXQo+PgplbmRvYmoKNiAwIG9iago8
			PCAvUHJvY1NldCBbIC9QREYgL1RleHQgXSAvQ29sb3JTcGFjZSA8
			PCAvQ3MxIDcgMCBSID4+IC9Gb250IDw8IC9GMi4wIDkgMCBSCi9G
			MS4wIDggMCBSID4+ID4+CmVuZG9iagoxMCAwIG9iago8PCAvTGVu
			Z3RoIDExIDAgUiAvTiAzIC9BbHRlcm5hdGUgL0RldmljZVJHQiAv
			RmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeAGFlE1IFGEY
			x/+zjQSxBtGXCMXQwSRUJgtSAtP1K1O2ZdVMCWKdfXedHGenmd0t
			RSKE6Jh1jC5WRIeITuGhQ6c6RASZdYmgo0UQBV4itv87k7tjVL4w
			M795nv/7fL3DAFWPUo5jRTRgys67yd6Ydnp0TNv8GlWoRhRcKcNz
			OhKJAZ+plc/1a/UtFGlZapSx1vs2fKt2mRBQNCp3ZAM+LHk84OOS
			L+SdPDVnJBsTqTTZITe4Q8lO8i3y1myIx0OcFp4BVLVTkzMcl3Ei
			O8gtRSMrYz4g63batMnvpT3tGVPUsN/INzkL2rjy/UDbHmDTi4pt
			zAMe3AN211Vs9TXAzhFg8VDF9j3pz0fZ9crLHGr2wynRGGv6UCp9
			rwM23wB+Xi+VftwulX7eYQ7W8dQyCm7R17Iw5SUQ1BvsZvzkGv2L
			g558VQuwwDmObAH6rwA3PwL7HwLbHwOJamCoFZHLbDe48uIi5wJ0
			5pxp18xO5LVmXT+idfBohdZnG00NWsqyNN/laa7whFsU6SZMWQXO
			2V/beI8Ke3iQT/YXuSS87t+szKVTXZwlmtjWp7To6iY3kO9nzJ4+
			cj2v9xm3Zzhg5YCZ7xsKOHLKtuI8F6mJ1Njj8ZNkxldUJx+T85A8
			5xUHZUzffi51IkGupT05meuXml3c2z4zMcQzkqxYMxOd8d/8xi0k
			Zd591Nx1LP+bZ22RZxiFBQETNu82NCTRixga4cBFDhl6TCpMWqVf
			0GrCw+RflRYS5V0WFb1Y4Z4Vf895FLhbxj+FWBxzDeUImv5O/6Iv
			6wv6Xf3zfG2hvuKZc8+axqtrXxlXZpbVyLhBjTK+rCmIb7DaDnot
			ZGmd4hX05JX1jeHqMvZ8bdmjyRzianw11KUIZWrEOOPJrmX3RbLF
			N+HnW8v2r+lR+3z2SU0l17K6eGYp+nw2XA1r/7OrYNKyq/DkjZAu
			PGuh7lUPqn1qi9oKTT2mtqttahffjqoD5R3DnJWJC6zbZfUp9mBj
			mt7KSVdmi+Dfwi+G/6VeYQvXNDT5D024uYxpCd8R3DZwh5T/w1+z
			Aw3eCmVuZHN0cmVhbQplbmRvYmoKMTEgMCBvYmoKNzkyCmVuZG9i
			ago3IDAgb2JqClsgL0lDQ0Jhc2VkIDEwIDAgUiBdCmVuZG9iagoz
			IDAgb2JqCjw8IC9UeXBlIC9QYWdlcyAvTWVkaWFCb3ggWzAgMCA2
			MTIgNzkyXSAvQ291bnQgMSAvS2lkcyBbIDIgMCBSIF0gPj4KZW5k
			b2JqCjEyIDAgb2JqCjw8IC9UeXBlIC9DYXRhbG9nIC9QYWdlcyAz
			IDAgUiA+PgplbmRvYmoKMTYgMCBvYmoKPDwgL0xlbmd0aCAxNyAw
			IFIgL0xlbmd0aDEgMTMgMCBSIC9MZW5ndGgyIDE0IDAgUiAvTGVu
			Z3RoMyAxNSAwIFIgL0ZpbHRlcgovRmxhdGVEZWNvZGUgPj4Kc3Ry
			ZWFtCngB7VlFVFzdmsXdCSFBQmHBoQp3d4JDcCmggEqgCiio4C4p
			giS4uxMI7gQJBAhBgwR3Ce4SAjTvf+/1Wv336lEPetLnTs75dO/9
			nXXv4LIyKsNh7gZeLhAQD4gXKA7Qk5fXMJHnUtDUVBMBgHhBQCAx
			K6uCGwTsDoXDFMHuEHEACMTHD+IDihKzAhTgLl5uUAdHd0ApPxAo
			AJBzcXGCPFidXTzcIW7cADWYLS8ADLMDQN0RACeoLQSGgLshuAFg
			JyfAX3kIgBsEAXFDQux4iUEggB3U1h1gA3GAwoj5/gFMDWYPB4j9
			02zn4fJvFxLihniAA2D/CyDHQw2wHRzm5AWwg9g/JHo4OWmBnSEA
			9r9Y/Dc32Bnq5PWvgH8hBWjC7SBusL+HGkH+4sauDwO76DvC3f/u
			V3MHP5CSgzk8kOYBCfICBf+JAIpQhnpC7HSg7raOAHuwEwLyT7sh
			7KGLExQG0YEjoP8QFAD8m8PAEWr7GgZBIP7lgTxo9zd2D7L8BZ7v
			v4zqL+Y6YOg/h/nvuv8eLuBB2r+keUjWBLu7QT0BZkBeIBAEfIh8
			eP5za/G3bkowW7gdFOYA4BcSBoDd3MBeD+Ggh5MQwAcEgD7w8QRA
			PB9Y8vHC4O4PPQAPk/cD2MPdiP8xLxCAD/oPC/F/5yAvD/cE+AAB
			PPxCDxVBIiCAiBDQ739qr+/+cIvAbnb/ieehFYGth5sbBOb+16V5
			EIr4X2d76MM4IBBPiC3xzBTcViL0VUp6qnsVdfbX74rGrS+as4Tx
			XLg9g5kdyq7em4TH2l7z49oRvJ6cZVRBUWaoPcPI9zkNh3PYbU+9
			n4jOdlK37GY2vKIQQgSxhCy/Torc1rAClAbnbBrZeQg9Ti6PguXI
			Cpkbyp8kT+d/Yi+P38F1XZ507kC7/Jbx6ya7e3mvihhr8vz0RCPF
			x8DZxj2ZRsXvgKJHmbkrsG0uj9zNBknWg7DnHyuASnu5Zkj0SJ0L
			4L4v5Bl6cWb4sZvyorqnheWD15wwBuvLILAh52NHXnFhrI4vmUa0
			DLFPRMwOnwX2IHUwOAdKg4MzY6uXaZBuBLozahUFxKnYktcxhxQi
			q52mb2RB6kj1SpdHqfBIXirtXg5tC+y8Vrp6WXG3kPt+UrHTNjPc
			CUqrCRpVo7lEF1vO01mkWGm3nDcq0GMg0u1EuZte8mhuFrXDktai
			EZ8ftyTpj/n79fwaIxPRreScpBTFgPLGF6tfM+ZHCD+dyaUOo8s8
			z5YZCrlac0YTmy2akv1HbBLuI0/FQmdZEnOP5hJqAlilFWSHmj/u
			u5290OTkpWqMCGNcZa393vQubm0e2ffyddiTfbpvfmg95n/MY0bw
			JswHOvTpi2lvsxSOmFYG6/qylNl7cJlZnBEB1/7SawT82OfOIZE7
			BCaKvbklpYw/tNJ6XlwF2WdY+PiKSL2VHm0swI9EXpkdCO0HxY47
			16ke/kF0RHcxnL1DaQzrYy6si0Ipi0tWltAhLOGjV2NBPrdg3GKe
			HSmm0LseprIZyvryFIuJKw5lazFJ7wu62yLDP6HUYjBcTTqDCVTg
			QIqAq/a9B7uVVAnmz4tj+GUMwTbCVJmWbM4uxTCf9dhDxbt6QUwr
			8zjXwc4L96kEKwvL+GJDHMZduV5WUQgFq+K8hbLhATPp1zE/EwFM
			pI6P79megvev4mCRuYa3nIZutg0H+SUHAV+HLEtKc2Je8Pey2cBC
			W506+qDc2USumHNLE8QrQyV4bX7PF2vNl+UqA3YKitIaGxiArfrE
			7hxrGmzGwqqPRnpdaJKo7YkD5/E4LjTiKH4lsu3sNBWPcOD4coje
			aSwMs19WauyVl+bJ6YAIdAefRJHgYFpTDVhgqO5olE6yXN8TAglC
			XtXIkrFuxXVRb7Bp+MdLvclbi2lmT7r0fR7MgjV4h9kepmysijPJ
			XOu6W82ztqEV4yCV8uKy9kgjpTk4Zma5CjFZa7E4ljw6Y5jjmG0P
			K8T4JSuTT2uMHXG34+q3nJxmUSxyQKoSWq09vRQpRyLPPD0tzNXq
			d0lLX8DQEE8HbBkf825fphqxxbl2p90kYTvqEIYd/iEN7nJQIqvR
			S4AcSu8x1/td8GPUAzI0lMHKequdwn0lo7En/E96js1l+0/Y+ZC+
			EOovF1W4546yE3IzNJuFyuo5EN6DZQzLE5MY1ZIiWnqI/hsOtf7N
			4dGBG9JHxQRSul3855wY73RAFqRZmDJfctsS1mT4RqSWzpXPYTiY
			ikLxZ2vLV06/KwTDLqNhqThaTMrpgl7CRypA6MH5VEcRxTWfVLKj
			pwGfq5ZFRk8g6adDmxWqVXklZ87G5ozgxAuHp6nxf1akpagkDpGT
			R5U9adwwEqXarYGfM5hnK3AsS+u2zcUsQuLnF4fEFL7rlOQp/nIh
			yjZHgVGPrb/3GV8UxJEr15sqP45m8p05Adsr8aS1Bgo1Dp/PW2db
			uOMjq8eLaAd32zeeze5RmhvaCeKF1aMSLEKGXHb1vfNkhu4TBfhW
			GcSmZcgJXT/wxkjqaaeukb6yWq1DZdqhF6pzyAlp2+sW3D6BXWAZ
			y8uklOgedAJnqnfG4WxILtNj7GP/Kp3xT7gqXJxdLIqZ1q7LxOpi
			XoB8mVTrPbGQkm1lwKweyorrnpFlQmOtAP1NFDlWdRwEescvQMiT
			hGOK3ywuaXDXW7vVkcBVs7vCdnNp0OYN38iv+EJmFvpCzOU8IvdQ
			wy1AXLBcegCLC8jpNQGZF2xrPzR/R97MoV1U4Lt3vhgjn5AuQyTh
			iT1svq+AjwpP75gAIR3rxkT3iQQh7JH9bM25h2PJq1e53Sx10Y+c
			qru/L3GGpJ8HWfKy87yvZQy4/m5U570EITtgmcCmxlDaenTpUPDp
			R/YU3VhA6zspRFL60fLh8iFNG/vmKx5u9VKr4z/y6UYBIe01U43+
			nW71GxpB43bRWRoeZ/lGjgq8K7xPw2wED32Jr6yrI3QvMTzW0VPy
			I4idFx8Zp64JtxFEdCo5UxwxhO7gKPFn4pA0N3cSRo/4cLKMLkrA
			st2e3qDZE1CZkJOzbZNC7tTBHuLtSx8EyJD1vpGm/T6uBm2sloIb
			aR+pi7qevWKTcPT5FlYmmH2lfT1yUHW4UCWTMz90gvrFZp+OIuFf
			hWYsbf1I8ncOV8QZP9nXqwyZPu3FF+i9StkuWyiwaprbPSaPvaet
			Nhl0Gq0UPC9eFyRToLLKGfbfG3M6abk+IyLMtZguQdSG7h2MO1Qb
			35Mdnw6tp++tpT4qIh9cH6bwzWtymDF0CoqkG6QgXsWXZ61/hSmt
			lVc51BflNafos1IXy74wVew0+64iMZLBo5lt6oTs6q3uyJM5pXGQ
			KMsUQvpSN0D56RNohIgOzoC8gpqoSN3FIfWo7KZTAfNBdbTLM9U0
			/s/Y2G7lmQxHTuHff3Zr6PYidTEL67Nbfk4XNfqe4vDJz112+qr6
			Rx9+jprwbBb4wcZkHzqdACrq+6IVLbPKQeNyUPnb0MKQ5g/HbB6J
			iPoh57qJBOfRwXO+H/6k1ihgfOKs1vGnXgq6RIOVe/lV4SyB7U5d
			Lx61QziG856JK9pz1+Dd7tVr33YrGqLgrj4Req0ALuXExJ9Jfv5S
			41UVaZsuP3PnmX5PwKmRw3WpMVnt7tevfEPYfyva9zWEXZqWBZhN
			UkQmNNJd0tpWm9r/zEhmhUyMUFFVRFh74NKMiVUJ+G6Ois3y2lZd
			/9pOioutz+p1u4+qvT5T29R8chx1RNut5npXp55U41Ttrf5bWarC
			0lVyeiC4O1LXZnDzJV3vs/u4EcgTrRQnjXXLERA6ZT7Vz0YFOrwd
			Oyn+lJjRFZYEvhdfU79tW1DmRSM8KJqBK5s/uU+OvFrvFuFMK1F0
			2zBLzAKBOHh+TrrOBL8QKjiK3UyvxvzsE1efsenqlURIWfnvSsiI
			DDO3WcvryPXT6o/xKMufhx54H9i99aA0Q0nOpx809KPfgHQYqJ7U
			k+lcqdV9OLFIQ1k6czOihmfhFfpjaTQbAQ03jAUWkuPpQ15P9OYt
			EfXoBEKZJHA1dJt9LVz00+NW4y0fvVc8PWgA3APz0IxvASsVSbyP
			ZeKl3jIYnXeR+iaEQa1Lpoo1nqUT3JKo4Zn3v29IZ3g1uPvTxjn5
			M2b7EeAwOyvsPqckHsvgnRkmMhu3aIldRk1pOHyvI4tZdd2H0CI6
			kLGlSWZcL5snrIetx/u0j/erTd5wXDWR+XxNSJn4p6B7oY/BaGXe
			71uqi+MK0tgTXBmCOwIbhtDacF8PPyYIbMdHzWDK34kW3+xEmqB+
			tOWG2xnZoBgu93l3RNQ0TQhyvjircfU49w4rBczRJ+2RfbxInty+
			yjh3vprCncVqLblhfCsQDQLPWSId2LOoJFIg55Jk4+NKYROM55l+
			uo6YX9CT9V3D/lgWnsW6ec5NOAJrOhOeuqH5mVCy3PQhp8Y6ZxhA
			qYxvpIqf8ODHP9+xRwGsIGkn6A48FUqs0yxbbLQKxr2FMkcqvk6E
			JNk1ulbRvXPZJsLrLEj3y9P4NzePXV/i4E9mOdO+2mULWiJrO6pc
			tQWuoNWqdRBH9suQXuqesc7S32KIEw1Q/kHRYUmJS52jMG9e0BmK
			/aIKodOGn0lg5UzExsVLH3xoy2nAUhEfNB576+Lw0V/BbAwM3PQa
			W9yd3XYbCv++4jemGpbFlG3gYku1QKfAXxjL8qZ49J3PaQ6hADCS
			vbErpSVKsrJsd0Zuk3+oKg32gtv264USBPWI9U/zLvaLH6DgXALz
			2Fi8nEhoM85TFiYepTolQaqD9o8emXxrQBu8yxbf5dzlWaXrILGn
			v2TlyJjDMKurCH0TF/W3EgPG77DNcBgJalxoN3ZHceW6aJa1aXMU
			P73U7WGgcg2d3iaqQfZdUh3bPY9lj/vtubon411e3FSItYZysD4Q
			/KB33A+242ZNEvgV9KmdXehVYDk+bUxdFm3Uqg44FG+s5HNnD+PH
			/tJttcWsy+hQDttAOX78HcutzeSql5LxGbUVkQ2OF76lRJ+vMNBr
			szdFRA4dntukUVieaQ3OxuUICCpWMuTdLVolvGXZ2jN2T4Nbcxof
			x2SWSWq8N4v0KL6fMiJj9mnaGu6RRRDgRTleyxtc2+nU2CM/H528
			Kp7jmAnLlX5S2kzmRRA+jvnCL4lCicMdubG+wnkQe+x/4VlXEyPx
			WdWEBPY4FOkzOoCTO0qjySy+J0q+WSRTl8w5X82CicaRhugf0d5A
			OmIgyr7dVyVwX6cRBAk/ku8LEN1h9Z05qPhorh3YYvDYxeHUL3PQ
			GHLLTVfzrrLZ2kURsURZiNAhMU7IHh5+qwHduScXwV4d5mV8mpIC
			exHNHM3XuMTJQLVb5L6oO/MRJtmA6U6TBZR6ReBdbJ9UZbjod/kR
			P6TuOIEQ9o33QBeczuGnQClQHQz99ju/BYhSwoh/RdtqbsLWtH58
			o6/14ewxUey+XNctH1nd9B1fzVfDqEgv+KwmnT6gMr/i0ZcteoXI
			ryRVZewts9lYFlNvGTdyUcnEbZKgEtJTOhhbBS5obfm58pTyjz7b
			k+z7VjzdzBvyI812s/nDkrq7cHO1S1Pry/HYTV8JtZv2THxdMZvL
			lqXdGm6+famvaSvW6T0BmthmrCDPxJJSc+trpRaGdcPvojq7eVvS
			C0JR7/sNzdPSBiy44j2L4mLn9Az4bX+LfjG73Shmll1lPRKbWgsU
			PyknBzuuZGfJbxlgYKuues2csCT5XkVx/kREvbzwUwOZY1mJENrz
			NOgYcPkENyW0vbHB+CF2WDxCeC78zW/bqnVFjALUa4WGXZrotJDG
			427Y7TxxH9SzHABLAjRNt8ubzWJKsDAKXU4xpbpyRd9gKxtWp2Nv
			9KbslkeGNnUnXJqS+jAtTrqoR93Dia3UKWy9TlgIWT9rYnOTP7w5
			vqjA/H4B3yVbpzF7lYThFIt7h9Ga4mO/njf2Z7S4HxH3F8nQtDuZ
			SdXdW+jnfeaOzmeWfvWJIIiQer3LIzzB0WpQ6nc2l+hj3Yly7C34
			KaHI3Yq6U3HhfJKnmnIZVw+fmFL2VjyBHs9LMXGGLximvyBT37DX
			dVMtkurL7SMw3Eo5Id5ksBYDbTN3LnZRAT1H/L0M4pAEqJOJDn2l
			jhZq5yLNeUGcYw3H/rcihngOHkVBVCHFp7GmgxXk87Hr27a4SCuL
			Q0JxOQ6bk0itullbV63KBcMyv59ouqYfKKugkAjha54vkQFw6clR
			ymdnJ+nNPAn936JO7OMOKVfB6wZPEcgNxYbehkAL0NsWppQM5z2+
			Ojs7zUbwZuTIrKoWdbc4/aNw0JNvUMPYkGDLnTdDFVXPcuMukjeO
			Iw13i1Tjj/KXB3TaT762mcPYVAXx351sE61oxmTf/5kNf9nEYRJ+
			z6yyvi2obvle0iUOPKfY9MHu9/5pwTZC3WdMYUSS0aYid8mhA4Te
			Eu76Odk7t5OHQFpF44NOq7s3Xd71DYtlOr6Z/fVQROZiMN82C/R3
			kxV3p+Y5h8HFa8NGWZoRlGUJ2cnoXIBnFA7ITl5B9RENJcJ5Zoym
			b0oJUxBrO5H4vm8EnTi8VyLKv6peuLb5vQ7+uSWyfIuk/Yp91Tvt
			Wmw+Lj0laW9DtFGy/1f3O6sSsqu78PdUztdIlc8iOI46WESzntfc
			Fxw+85AA/nDcIdXkrC51F5X5XYVcLF7eK7MCb/RDkdeyDNt4zpDR
			mZKkR1aBunVvg+vXZhteIWwNI6tjel6p09B9fUGOfNvxnQ5/gnBs
			T4l6nGeJSVg2T/jx+koyyX3G0wv7/fnOVnPmhF+yp8TfpH5vpzYd
			U5FqB9jLkYMlkPgNvPqaa9ltNbgnwhGnlvjJm2tRGBpH5pHffCPu
			5aTQVa2vyY3sgwvHqLnRL19PeoGTtzDz3cU6uTTU7L5PaBXeVKB/
			yAo2xTYN5S2WKWOqesYicSIX21HS17fd3DAGAAReYU1KBbPnYkXe
			QKfr97TvA2/TXaRadro/RsFCmXTap4imRpqj521dq+mtNbm9SweD
			F2jpnK6HapczmGSvhHGSky26yplJtjV/Iv3fohBkuyc/qrSzMt1H
			FRYqhV/mmSbzq5wbqnCxvqlLky88vEzA/zAHNmOswlSztEq7+/zI
			dj5uua8yyBnQ0Tt4ZscRPbDs4Z/FQ6uP5hZLFOM0X5wO6cCHVs7V
			z6Kyse7JR7YkX9LmtAQSFFYbrDefnCWrLvtgdK+xioc132MvSZER
			PTefmVwP+ESmOsLSp9N5elb43Sek6eiwXLI4h5h0kMjEKSN3umIN
			2NqqQnH32LWWDzVWyR5oq73CyN83G4pJG3yLF8f1ebMUM/d3lGgb
			i2ZhaAfXpfjalBTZezEbyUNO45PpMPFiLiJJ2hQMw3D6VDijP8YT
			PskSLV3CmHnw3JIFlrLKh9tDcfU4HsxS+oi++6a5+EzJGUqjAgOv
			VNP+jfV40wi292F6AYI94hlMvSfMCRPvXdN/RLmYxWguW3xcS0zC
			m83hlnftxctvbLCLoFghhBrXip1nolTEt+nt95srjaOFeJikwtuL
			KMYw5NqS5GWSfkmsMfQ7NKMjN/h1vGHHz/p9yQTBuJLYy0QT43Xq
			H4rx+L8IaHSNo7pu21gLwVk7RwV0tSkTl2IBSa51md/jiQAaDCeD
			EQ1tf1gZsuZ6CrK/lL47WjIrfCulTrwaZ9nc1BMuOhHRKsmhWdEZ
			FhW+Rt419nJ9egK3b9vUi8j1bdoGVRyFbNxx0pj3IMaf3hGY6Sae
			NUMVS3FewAU7Wn9UOjzlyvb1O2uCOn+/Yj7dRItprzizyJ0+0Akd
			Qs+t1i0EyG9SnuuzH10xVDW4zV3LDS0iojv5DGFl07/oiMEoEpuk
			9PeguyI5yte0Dt2mDp0SYLvtSSIh9tBGgRehFk97Ow4tRsQHfBMi
			6ljqXy2U26fNT5BIEDE2cwCaVQZOR19DIDZeYy3ZoYdGn6RfCf8m
			sQkvIhEURvWNnS90DEjX0frHHfFZhZdrey08Lcwl78039cSxOazm
			gD79+fzqeHJYf/hjymMgAdVgDDoG6zZQJZ0h3mah+sL0eE6alfRr
			g0MGW5XnM6TL6kcJBI/LRDuXiFPsZxNxplqLeEO5av/iT8XUogUd
			Mqp2cgklG95DDjctosNGVrIGLbTYqKHfuhUkOehKZb4hjpNz4Vbr
			OuxNPBk0CJVP+pNypLfdPddpmKUNTZP4jZJCM5wJEfX5Rjyw+cS3
			Tn6a/uGMe7hXjejdoB/0uuyMa1uJkgwkmzkBbct8eqsL7prWqPjl
			oJoIWuLrbqzWF9Fj5N0ZCdcHbkJmSWSsJOhZheygUPo0YqHF90wX
			6V43tc2b6uerbpG6RbtzY2z8txrUX7F9itvCnhY8v1ufU1+0XjsT
			ONu8jSixMWXfXC/iGFg1mnzicr3ezVnuXx/2A/Q8LM/rU9DKM4Lr
			gE+CilXDQ17n6lto4R9Mgh6dcADOLzU/Cxhdv2PVWI0ZpO+jueQz
			QhuUclW8fq5H9fI1gUs56rG7jefreAkHNFOkop9fEvlZux6PH1x7
			fr1FNOydRSyaRtUKobOszZnsPYtlmmjtWiIUWltcrPBppZNQZJrO
			gQ0bczurRuy9Uq65guxI3+WJEJENY9eObbr0UUJIT+pk97lAMcMd
			ZP6byk0tZdydtjEfe9SW1efLnKPacP9FAmySN5Zt/PKrM5rsObG1
			RD6aduogbmzd/j+lbLWGOebfMmMCJ+F8/YvvNYdOi0vGRAIrjphv
			OkGKrvjaOF1dY5lhwYs5GS39++SkEAL+bOZuXLmHb0QZ8P6Ups4d
			rJkm/+jzvSb14mIPIJJaQYC9XZ2A7dpR4+bzktDpXB5pplcUMe+E
			4PpFY2VbalokLRrG96QqIzsZ4ozuY4QQKeKFtmzr8wYTPCkup4Tc
			8keeupecUaMWT5XKBLw/XosiZw3BLrlF01lEEDRJPWrNvhVPES7J
			MU7E66MRa280qquJCR2t/Ua5qhiil/lU71AbBuPdQ7wH16Xvchdr
			/Ea3kR2qOG1goifcCK66oc3dksZ9aWBn+77Fdr5Wfju9Ysq0xR7r
			kYOgojGhqheOpm56ksc+X/KU6y93+uOk8ScufK6C80khTxto8q4w
			WqYFyugt0Pfp5QmItgJKf3ylgL+4HBLZJLWGI3UqFRz6NUF/zt83
			dDgC/5eL+H+ZD/z/Ag+/Kv/vRbR1goDd3OHOYLfXxP8B+caSaApl
			bmRzdHJlYW0KZW5kb2JqCjE3IDAgb2JqCjY4NTgKZW5kb2JqCjEz
			IDAgb2JqCjczNQplbmRvYmoKMTQgMCBvYmoKNjI1MAplbmRvYmoK
			MTUgMCBvYmoKNTMyCmVuZG9iagoxOCAwIG9iago8PCAvVHlwZSAv
			Rm9udERlc2NyaXB0b3IgL0FzY2VudCA3NTAgL0NhcEhlaWdodCA2
			NjcgL0Rlc2NlbnQgLTI1MCAvRmxhZ3MgOTYKL0ZvbnRCQm94IFst
			MzEgLTI4MSAxMjAyIDc4MV0gL0ZvbnROYW1lIC9SQkJLWUIrQ01N
			STcgL0l0YWxpY0FuZ2xlIC0xNC4wMzk5OQovU3RlbVYgODEgL01h
			eFdpZHRoIDEyMzMgL1N0ZW1IIDMyIC9YSGVpZ2h0IDUwMCAvRm9u
			dEZpbGUgMTYgMCBSID4+CmVuZG9iagoxOSAwIG9iagpbIDQwNCBd
			CmVuZG9iago5IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9TdWJ0eXBl
			IC9UeXBlMSAvQmFzZUZvbnQgL1JCQktZQitDTU1JNyAvRm9udERl
			c2NyaXB0b3IgMTggMCBSCi9XaWR0aHMgMTkgMCBSIC9GaXJzdENo
			YXIgMTA1IC9MYXN0Q2hhciAxMDUgL0VuY29kaW5nIC9NYWNSb21h
			bkVuY29kaW5nID4+CmVuZG9iagoyMyAwIG9iago8PCAvTGVuZ3Ro
			IDI0IDAgUiAvTGVuZ3RoMSAyMCAwIFIgL0xlbmd0aDIgMjEgMCBS
			IC9MZW5ndGgzIDIyIDAgUiAvRmlsdGVyCi9GbGF0ZURlY29kZSA+
			PgpzdHJlYW0KeAHteVVUHHuzLz5AggQCwZngzgzuwR2CBpcJDDBh
			YMgM7hYIboHgIbhbcNcEd4KE4BKc4J7Dt/f3nbXuPus+nYf7crtf
			+l/VVfWTWqsfmvm5IsLRWc/DCQrmBvOAxIA6srJqRrKcchoaKmAQ
			EMwDBoEImJnlkFCIMwzhKA9xhooBwWBePjAvSISAGSiHcPJAwmzt
			nIFFfCAQP1DGyQkOfYg6OLk4Q5FcQBVHKx4gxNEaCHNGAeEwK6gj
			CoFEcQEhcDjwrzoUEAlFQZGuUGseAjAYaA2zcga+htrCHAl4/4VM
			xdEGART9O2zt4vSflCsUiXqAA2T7CyD7Qw+INcIR7gG0hto8FLrA
			4ZoQByiQ7W8a/yMPcYDBPf79xr+hAjUQ1lCk4z9fNYD+RY5N1xHi
			pGuHcP5nXsUZ8sBKxtH2gTU3WIAHJPA3BBhKEeYOtdaCOVvZAW0g
			cBT077i+48MUOMwRqoVAwf6lKBD0j4SeHczK3hGKQv07A30Q7x/0
			HnT5Czzv/2nWX9y1ILC//fxP4//4C3wQ9y9xHqo1IM5ImDvQBMQD
			Aj24/Nf9349m/xin4GiFsIY52gL5BIWAECQS4vFQAH44CQK9wEDY
			AyF3INT9gSYvjyPC+WEG8MF7H6ANAknwL8fAQF63f0UI/icJWVmE
			O9CLm58PyM0n+NATJCACFBYE+fzfAOg6P2wSBGn934gehuFbuSCR
			UEfnvxbnQSuCf59tYA+OQKHuUCuCue8IK/HgN8lpKc6Vzz59HZI3
			bFZvzBTCdeJyD2S0Lb6MNQqJsbriA1jj20/PP1cKI01XocPI8ToJ
			QbBb//oeOxX1Ca5q3sWof0kiiApgClq2Twr/pWYBLArM2jSwdhEk
			/1gS6ZglLWiqL3v8cSangq0kYQfwdnnaoR3tYiB9++ZT1/JeJQHW
			9NnJsVqyl57Da+ePVEo+ByQ9ioyd/i0/sp8gX7sS96Bs+MZzYVIe
			b9PFeyTP+AGxedzD6qf6pV2k51U9TUxxHj+EMJhfBUD0OcjteMSE
			sNq7Mwyo6WMohE0OaRh/c3/ojDjKwb4jCztJcnxSYj+74/dKZGQg
			vt/v51CogSs3ekfDo3rCuumFJXiv6uXTsrLV4kKUesZpCnyI4ybe
			dtnf5loQfGhG03r5I2d52dSLPoX11VXAhE2nVszEMFjlFPUIwKCo
			8U0/F67UCxbWPslsGGYQaRN6V9/W+igoLK66O+Hsxa3lS76mY8W9
			VXnsAYE8li9eLxPw0m3KDAfWPSKWCj7zaCdNi/wBRDEY19/d4hf7
			LsgaOuCI7pAxNjRheonSvPpg1YdIFfYN7B0XcPlQ34RliRO7IzEB
			Xnq7qDEZbHCuW8YfLbZ7JRxZFy2yBLDQLW6cXQ8nAhzxidSiR9Vr
			azcYOxiUGH7znB98iaaLpLUrzaG8GKrqxtTmzSalA79S8u7pK43c
			NuKicm36UK7cMrjIhzR2kFTOmRD2D/tzZ4J2xKv7dFg4PsjHp1yY
			J7ahJ7WwaDL9Ko7XsqP9tUBKkfJW6SuajKt4NTo8bqwAOOevNYns
			+Dky4eET/2x86oClHMzVn48qGDmo/P5kfb3FLeSfUil79Uf/tTEa
			VpbPYfiyVkR9625d+17AaT81FeOACSYfxo+dEza92yMRKMFXg/GW
			X3UJULPd1PuX8XHEPsbm9bJna+ET+fcJiEDUCp56jXcN1VmXyezB
			9LSXYAj2mIsxQVqnNaGGg6Zmqtm1JcPKex7H7C70RdRvMo6uECTB
			e8OmMOLn9Mm5XQAfRhYuX6XrKEcQCa349rbfYxky2n4Co+7Zduaz
			sIn8km/JfTkVCZ9iNR2PA/wSw6QxwYXHeAGe/rHkEtUiUh2HiTLa
			5N4clfdeTHHhGS7mVXlJu4pRnv6RHhKST78uhiIrLg+pXpB+9ntY
			rrpLaclGRPzhJoUgf2ClZF1wN23Ml3wZC38de98BsYrtq43FR1xo
			39fh+rfbRKYUDvevlXLfnH5OFruT1aeMURC8AhuYm+14W99o8WPB
			m2C1ep1dnLnGTNbjJ30pBL4SsuKK9rAYc/dPWtcIg3cV6dgYyw4f
			yPSZhAzz0VOu282usVZwzl8F1nv3Wn9xG+uy6NOHRfWtS0daL0dB
			aBo3KTK/mhcP+GNt4GQJS1CwL7C5vBVHv5pjjO5NjlX7fqzS83o+
			DTYsQrO182alFCnqjyXrjxYuX3UbYf6Waa2hZOyTAl+B9ohRWR+Z
			MnHsyY55z3id9CkhZ4xBdluQXbi9bbKFVEFD5wARVqQ1HzHMa3JM
			tclpxJiDgT6Tp9IZIsr+rOZr2kgT7wqBJ8SVRvmRSElRK85PVwWO
			/eZSkTEo3nM/CaqqFbwErDBxNtQXLHHGc3yI9E3BXfdu2Ylzhu/6
			tpDrZmL5RE6nG271jJD9czwBaXwqqFPxx5N1dVmcQ3WdmPgbael3
			ZnoHoaI3KG3p/KjXHbZF1FTkniIt/lz16k9foTYEuEWbfqLlpHIb
			Se8z/aRWNyLzwF9nKHR2CwjKTlo9COlqXOv+sZXAojDyGNBeKyhl
			2sGu+coilBVYaqpjF7BZKohoLgE+YsA94uRSdur+Nl/LEtUKAt/d
			Y1brh7qlBzRiShrp9JSh6ESb9h2yf6FVDnN3Xt9NhXadBOyWcPC+
			ELsEPq9+shD7hhCzxCyvBRP5g+ZubTa1mgTt7a52eIZ8bhRZpkcd
			qFHxhVq0M2KmVjTAE1yZqTxM/qzNQmXwMEjiU95nlsmhfqXcrXdl
			mbqFMoUbM7dfxg/SpHLJ/SheLbEZfBAVjWpnFPniJqzE8E1NGf9x
			8KULnfZpWBshPyX0F1JE7PEwZ1tXblL2qScd8Wd5olzHZucRhbTZ
			Q8RLf8CkRyQY85v67guwLvycCi/pd3ItYsqNwoDD8kkH+S3dNL2x
			GH0DW2L6GGfZYNiI2lMtNXRZqUPqAj+G2EPGCkp6oLrMV5xw98ZA
			U2a/Ob2gijmLu1Rr3GUb5o26xd7dLNNz9NzmyQwX2KLr+PjxhILS
			e8GafmryjFoJNvE/7DDjfJpstZtDR6R/uFogBYRse3HQNs1NYRrs
			yW3/OxBDn0fT/dn0q1VyvZ0rNSYM8G+bVq/NGD1JnclUratptVHg
			HJThbEzV5vayGxdjoP5yTkEjyHg1mmIyMuNnz+c4sbCXNS80ZX6q
			xlLIuTZu9TB+uhH+So+hfsnxXQnNDgyw/+h5qfqWFG9RCXcw185U
			IVljlLDDh54mSSQa62DVAC9NISOyf45TtJ/pDb2Mn8phUkvkigY2
			q3xKdbYJDy2bDIiOlwueO5FY8YGppJ4Sj4dbTa26In5+HrtGEKgs
			pJF/NMYmpm4ZKDXbTk93uoceqKCl3OAVSPu0/qumTlJQ2VyNCs0z
			u2s6g3Yt21JiLPWJSiFEt2D0GvoCrqCaPtoqwFRGC4wKw9TMkK4k
			a1F8RujCQML7tKpeAGu+PNsKzzK6a42o2BPjiFbx3iomT/Tsqo1E
			gpJvpystVIN9nqHE0JSi9JKM29fGWKx/y7ur1dEXZ+GnslQmR9Ma
			l4HaJ5qnMrGf3pa51Kkvm78zCfRHrFW3iL5FZpHUVIK/BSU7J7Z5
			k4dsJx1CzvGs6V9hK+AVa3RNJ0Bi1DtLclu+4Sh+Ov3mCh/tP//9
			GHIoaivzNnjJdx8W075IGuP2uRhaV094P1kKLn7WvokB5UuEi8k/
			v5uv6CqlWdrZYmQ5vSSkjptmofJ4//xPW8pvgRjIn+2dRYzIzpnF
			Gd2UTZ5VzUfx365WiL55h9M/5tFzsWU+Emo7C9XjJM4lwUfnnaZA
			JVfMt/JsV1puZneN6VAPzkWfJl7ypgSbUL8KCG/hG8HO8WTnTwMw
			IBhtnbVDwvJN/YnCW5EX09sMfIcLBnqPRxMBwypKgzNxp2P29X92
			BY93n3ZZqSAkjjoHSZ5X3pHMvevJZ8pJExEOrNr+epepmpdq5Eaj
			R4f15E+kIo/jcP4edVwTALNb2iHT+YOE5W4Ja+Nc5RbgTc/PlkiW
			jdgfzJ/5Fzf2AIfKNIVLUzXhKrYxU/mbR7j2tMZ7/Ku+COVE72VZ
			6HLrY21QJ3OKoND3fKMb7zFvDrMq92TzLDPdbY613E/zKTqQMVYJ
			1apjP5DksjiWfjh/0FESrVMx5q+lOVqlk0n1oR+VdB8W17mdLqtL
			piMlRRpcpfZQ5e0+ruRxBnCQYY4ZKCutIbNgodALoK8EfOP9Edys
			oUuvbU5PnCdHr7/E1sVmMVMwIdyKtYZMB3BT3tEo9qvcqHDxBWAo
			Cr6xPugCkASfw2hJh79isC3rP2JPs8OwYOguJWBtSMUxOTeuNO4F
			hX2cKbDgWns8McXA9Uvr8TbKBK1K/pd0rkPk2qTewexMDtWUNKHM
			DEjoLAEG7kzsH5XWVzGIigcctQ4q/7ndmTvq1HOCx1vVJ7nA5fRs
			RtHKkrVN3HWOhVWvOVaqOD99EhXX7yFxyCTUuVTKSVX6UGr1nEMz
			Ic5QfU7rS1FOTZzsh4jO3x03E8+c+eo+55eunjo/Sci9XXONFKfM
			iJGEZ1bItAmPCapQyrIesEceCbo1W/7wUR1KD0tL/+7TbKNB+mw5
			M2MVJ1B3JPglMonEI6eCIDROp5SmE79q0ewZmdgaaiT8Gs1RyxP3
			InRxVLzq4+JjHjppV+KnFR7hEevUG3oEP7wynwRdiXXaSUZtNBJK
			lVXWjBWb2YrxH5HZveh5UibY6BEjZn2KbY97N4ujgdsOi3RECKa5
			iaeLUs0s00OaGoW+ygQqsbUizI1LWb1CekzJWVfKrHxHtoRPD8Qt
			p8m2tpKfeKZOmAMMXV4B6LjGsLXZBqibL5/4NI7R7o2AXnDWZAvY
			6Jvbu548KhIDL87N95Y1G1mP02OuF+ZNxSa9iFXw1SPvlaj7pS6/
			UnANlLCk2YMzUMbf/Ox4RBgdpbnFFBTTOe6h2PTS5yz6zsBNlGXx
			rHudY3ctVA6PFZ8oFllAeN13ZbZwdSF9DQ86lCHRmIiTzSMqOmwZ
			/5GcFd+sTyFrV56zzvtsIazZco1nY+PCtozSiA6rwAeTlnznZVit
			jJpnvv9IlfB0CXeEb6O82GQqm7q3Mps+FZcXaXiWwiSTQ6oXcxZS
			U1XJqjPUoS6UyblNOM0qIpRUdmXle5rHk/yRP5qigNF33OuHA2kT
			NUUabDwHhP69xBLJiTJLNW1ANrYJIsllA92KGmvXAgeXJX+T/SnF
			qEfzxmdcQZRa+aPliBzOqPV9pYzaUuG0nVnmoXyhBQ2KlcWDUYVA
			TB5Eyzpqqu/C3IaMBmTBJP/mzHv3nKKiy1/aj3VDR56/QP8CYOGp
			XCpiOobNTkUYIRfMlw9O6ClK/wj4EdBdONqjp7hzfbbAlwVJNEpr
			2rWkZGUHCW53r60FTuf5ugRqQygGY33zbWVQz/dk4i+6uNKX3sc1
			98FPHMCag5maviErr1wQW3TRj5pwiMLTliubYvq6mzaDjVyfTo/C
			i9BZmZ4y64MPqj0vrH5mwXY4X7ynLmEbx7PqKYc8c4jBPz9r+Eid
			rvweT+agtD4hA9sZLS2i76LzvqdOlA63dnD/EVqTYMQLlgpAA5qf
			tLPF8Jt1r/P3DEEmCIZKarx2qVrLvIp1AC0yFzrx8WY6U9i5lJx1
			MHit8zGA51XQnAz7YN5PZOunDBT28bvWDJBHGGsnqUgarmgvfH7J
			/zg1Mjnl0GTLONEjD43rsWDIxZSEenBk33F2XzBamF7MdK25EIX8
			18Fnfsl6dL0tebLaK0TGMbuptnqBKnPDbMHzwEGElURoAhdl2omM
			FIdM3T0wDINwGyu0Z5slr6TAZDCk9VKU6PaFKoFUs/dkuq0SXauB
			5cKEwvG4E1ImlZiX5siTiHEFYX6jbzUYpMJb8CikWY8/5c3l5/em
			OlLY6PHkSGV7xtRYkJJNWa11b76bh0wnNM/1nFeH1dSqvZyZ6PXn
			PVGRSrA3X0iCHC8/WkHNSxO/rECBpqbIGnUjtJzkhhuOjzSNmYb5
			TheWqQwGMZ3ioua3hiHfxvPfR7COCseXE3kPXgypkJoEqJ+GdMaE
			j9rd5WQL1rwMTpjzGInOwbRLBepQyg5/eZqaCb0dD2eTHdB3ljPJ
			OtKjOelza5izSliAy0Z+Bq3b7faCNXLr/dIrLWIH0KaWQ9Zrafa5
			Y9h20k/OnXZ6maKfMBCO1D+Nz/om+DFtgJaAImkDQL8UQqHfsCQG
			vMIUOCzS7nj/HM0wN6uQwCEy9pp76uCYpgoDNRf8Xv5j5wfvHN3U
			iAVq4x0129rggiPCX8xWPOOMFm9D8sss3hxJRdhAsiN/SgvixIsH
			FWnTFlHJsTzRvbbrB0j4cYamKZ3ndO5xj1bWMkn6IH1z1B6FLP56
			la7JYUCY9hOrK2/q4WOt+wG7jv3AwaUCe1HWHPv0ppE/Gd0uD/1X
			f4Fpzd6a5GmzlAhnN3vKYLffqsqtLtMyOt8Q3boQfeNYy7F0ShY6
			EIU9uGeJqT8XX2B/S76uyw+GSM3gxyjbzBavyW2yZSz8cHAZJ67S
			SleI8X1lLlbrtRXFGp3mRmMqsGxmSsVZG92bM4RLGDpwGWYd0MMD
			n/DYe9jwKVMDfcBCvEQTZm4x33G8Fn9gsCq6aXuWYFsT6HYrzt2z
			KCdXov3gJRXpS3GQ5ufoWwo+cfKEyiBrDYV+R+RiZC895HXbVEuy
			5g3LJsnru4xHrQqL/ayV0xs1DlvpLonlFB90rH8eTG6UXwVTZeEw
			ichreLZbsK5Dv9jq/+bPutbtaLxT8JWXq5hpvmbzjCo1YF8GGEsU
			4I/OuHfvDToHSWBpsIjnfV/f1d4hcfgwSzl48jGHiJJtJWKlrMj5
			kXWddUvaoUPfGUx0ZAz9kBz7YmpFXqR/vfJbtL5lmNEfvnFRHPWl
			enGZ513jPCqpMxMzW/3iNlXYdnNz7uIZtJowAhMQVgIgr5fGjEyn
			sct9pjt6Hjm7uemxH4KT/4Si5ruVAOQ7HyPmhBJ6XfoKxWT7bC8o
			7iQM7ivFU2qFKxr+tqh6NqJplHn1IhVFgctCaCoteeCoarIEqrl6
			siMkJ9l7z+scsOzLB2wasC8fEajuBISinfe4qnFxvizX1VBVNnTT
			IzOulLi720WuvV5zLQ5apvqj81qQRjdi3OfukIO9Zxtke3503wSR
			rDFwcLAVLsyNm1JBjpgmFtBuimTEvCSllzyICWLPEpdm4ezI8pOX
			939b+MV4EvCu82Su7o7Gpb6kPjzPg5ObYrkyhCVPA0MkSlyemJMu
			5/JgwHeNfE7srGH3xsO3rDhc9lgiplVmIXOHCF8nb0PMotME/Xkw
			m2aFPH3ijybebMOZy+ia01riSk0DikoHB1Ygs9ShvxZDZiL56fas
			3RpRIUmY31qKgMP73nFmlyKji4RMmbhSAOv+6Ft1fpt6gcW8p8bQ
			PLoNXQYbp0/7Y64sUEHWYZFfb75oWqPOAHdl/IodzpMRgd5Zpg0o
			q8ltfnMqGJXvQL6C8haVLbTSVd40U/SeJB8uM3vpt89LXrL/Wb3/
			+cSXitntNnQgroLKfDb+pypJb4tyhTOD1y9J6HSqg9/FkYjfpURk
			RgThdbaJDJLm7Q0l5LoXku0T2Gdv5zOaCDwlRz52b4asqK2JLnDp
			ndhNxz0RMNm/6eWaPdbjgEclRD8d+tz2rmsriaSX4z0mBu4Lcq21
			j/Pnr7VSo/EJPC8puOUZRP2yOuygUcmetb+7yQio01/yfCBTLHCi
			j6/fSc5/kTWJ20gb5NzgF3LwLebLdYiztQ+7vEm+cBrMJCBF5j2g
			TvmT39N4kdSdOc3XJafVHaqJjq0xeuaE96Mv0OOLr+2G9v/4N8D5
			ze/CnRY4oh3wWzRLZRiXMu6St74wt7cT79hrHrjzDZR6TPyehlNX
			awkvjmcaZvdze33c3trf8DVSkhQIXLIlxplTD2CuG7tVDBQNRm1F
			lb6LCymqz1TX22DQUbcy7wOy1dLgm1QvEs4yNqusCABO7eDrdbU/
			V6H6d9nzIYVyocjvUQzitLnk+2oSLcN4ZH2F/Oxc98oNmBzC1QVD
			w5YEhMgKhPvzP6CaphXSAlyNWg+BHMtIE8OqzujUso3U4vLfVqGa
			RcGR4oWapPF6bjNGUSox70WyDyFsuf71KEr3q1JC/4m8dYWmjGKe
			zWhCs1Vt8a27GJ4rG+Z6ljkuKi/mOJ6Oz29Sx+Tyo1F/FBbWJLyT
			pMYPyRWwr+JnQJxyCY5/lH4E6hhya2T2KZVzTxBc+w4SiAW9Nktm
			m8F1PNIW6r0WcCmY0RkiMqyTxit4QXJlX/mcbld8c2BVTz2ZYESm
			dZl0deYouuXidmRwapMK9zdbd+UYH3cUFTg6JjAn68bRSwh7Cfr7
			e3jlXXnK2BP+kEZDJILpLXtw488fmd7CojANTUuzlQCJLKkRNi0T
			tnP9rAkX40Y/nY74yruTmZ1VYvTZe5Ca3vuuvdNxfpvq1aYnk5bf
			GsSzSbH2ylVCcfp/u7/k3Wc0aeU8rPUWEyfMtT1QnARTxUVm7CJh
			Ie31vABGYAuyQRRHB/3K1nFp26IjqG36WXI1aEd3OZQs4YuhXJR5
			RWFMuX55pU8ibipc9dZf61rX715EnJ8ym6T0SWfcQP8nIFeLjxAg
			KXM6kOk+oZ+/W916Ey11eO2tV83mll8YIf8BsyrlsYL8ZRN1Ne/U
			60OMM1yLZzDtzBcS+aHwkxR3Fp5nNVd9nGXo4UoXH8NM5c4nBxfe
			Zo10HKBhbdlxq7Qh3G+2rMs+FgY9Tr9f07vQBvu6gYxXXW/04vHr
			uu4jM3k1HMbkXSjGG4aHeFpNtVdPUS0t2kiRSRrB9yu6Dr9/AGgG
			2EvM74qc3r1ep80Y7LlS7CdUw/guB73j57kXi7+QGBm4MjCqIBC0
			Ex9it4tWvlPQLpU1zrAM4ACaheyetkqKED3d/5DtBnqEIXuBkY3n
			RH7e3/Tj3sKE/7wKF79rUMB1esfAkSsAk3QgRn5UJEk7Ml7NpmRW
			3IzIWGoB4POtn+h8Wda3iYzZNG/1ODmNqYT1LTO3Q4H529LtDSAV
			ejlomt+VJbC7dNDhoHUW1mEXrB+4SQNE0NqvJPWbMZr4PZOr9sET
			jJKjDH5Z2zteUzowXnRkpJvLUt1LfKHpfn4WSjXHt7kjRxmq7O/g
			11xekrgYamHkrmj7mLHbwKQ9rClS5IRR1snYp4HMLztuiA2yYD4q
			sRWnusHbkFkud78ycJt4ButSDCk+ut7pUkD/5ehLKnJDw027tlsH
			+l9eBP/LetD/b/Dwy/P/vYhWcCgE6YxwgCDtCf4L3ImYdAplbmRz
			dHJlYW0KZW5kb2JqCjI0IDAgb2JqCjY5MjgKZW5kb2JqCjIwIDAg
			b2JqCjc0MAplbmRvYmoKMjEgMCBvYmoKNjMxOAplbmRvYmoKMjIg
			MCBvYmoKNTMyCmVuZG9iagoyNSAwIG9iago8PCAvVHlwZSAvRm9u
			dERlc2NyaXB0b3IgL0FzY2VudCA3NTAgL0NhcEhlaWdodCA2Njcg
			L0Rlc2NlbnQgLTI1MCAvRmxhZ3MgOTYKL0ZvbnRCQm94IFstNjMg
			LTI4MSAxMDc5IDc4MV0gL0ZvbnROYW1lIC9SQkJLWUIrQ01NSTEw
			IC9JdGFsaWNBbmdsZSAtMTQuMDM5OTkKL1N0ZW1WIDcyIC9NYXhX
			aWR0aCAxMTQyIC9TdGVtSCAzMSAvWEhlaWdodCA1MDAgL0ZvbnRG
			aWxlIDIzIDAgUiA+PgplbmRvYmoKMjYgMCBvYmoKWyA3MTYgXQpl
			bmRvYmoKOCAwIG9iago8PCAvVHlwZSAvRm9udCAvU3VidHlwZSAv
			VHlwZTEgL0Jhc2VGb250IC9SQkJLWUIrQ01NSTEwIC9Gb250RGVz
			Y3JpcHRvciAyNSAwIFIKL1dpZHRocyAyNiAwIFIgL0ZpcnN0Q2hh
			ciAxMTkgL0xhc3RDaGFyIDExOSAvRW5jb2RpbmcgL01hY1JvbWFu
			RW5jb2RpbmcgPj4KZW5kb2JqCjEgMCBvYmoKPDwgL0NyZWF0b3Ig
			KExhVGVYaVQpIC9Qcm9kdWNlciAoTWFjIE9TIFggMTAuNS41IFF1
			YXJ0eiBQREZDb250ZXh0KSAvQ3JlYXRpb25EYXRlCihEOjIwMDgx
			MTIxMTc0MDIwWjAwJzAwJykgL01vZERhdGUgKEQ6MjAwODExMjEx
			NzQwMjBaMDAnMDAnKSA+PgplbmRvYmoKb2JqCjw8Ci9FbmNvZGlu
			ZyAvTWFjUm9tYW5FbmNvZGluZwovUHJlYW1ibGUgKEVTYW5ub3BF
			U3NsYXNoZG9jdW1lbnRjbGFzc1sxMHB0XUVTbGVmdGJyYWNrYXJ0
			aWNsZUVTcmlnaHRicmFjawpFU3NsYXNodXNlcGFja2FnZUVTbGVm
			dGJyYWNrY29sb3JFU3JpZ2h0YnJhY2sgJXVzZWQgZm9yIGZvbnQg
			Y29sb3IKRVNzbGFzaHVzZXBhY2thZ2VFU2xlZnRicmFja2Ftc3N5
			bWJFU3JpZ2h0YnJhY2sgJW1hdGhzCkVTc2xhc2h1c2VwYWNrYWdl
			RVNsZWZ0YnJhY2thbXNtYXRoRVNyaWdodGJyYWNrICVtYXRocwpF
			U3NsYXNodXNlcGFja2FnZVt1dGY4XUVTbGVmdGJyYWNraW5wdXRl
			bmNFU3JpZ2h0YnJhY2sgJXVzZWZ1bCB0byB0eXBlIGRpcmVjdGx5
			IGFjY2VudHVhdGVkIGNoYXJhY3RlcnMKRVNhbm5vcGVuZCkKL0Vz
			Y2FwZWRQcmVhbWJsZSAoRVNhbm5vZXAlNUNkb2N1bWVudGNsYXNz
			JTVCMTBwdCU1RCU3QmFydGljbGUlN0QlMEElNUN1c2VwYWNrYWdl
			JTdCY29sb3IlN0QlMjAlMjV1c2VkJTIwZm9yJTIwZm9udCUyMGNv
			bG9yJTBBJTVDdXNlcGFja2FnZSU3QmFtc3N5bWIlN0QlMjAlMjVt
			YXRocyUwQSU1Q3VzZXBhY2thZ2UlN0JhbXNtYXRoJTdEJTIwJTI1
			bWF0aHMlMEElNUN1c2VwYWNrYWdlJTVCdXRmOCU1RCU3QmlucHV0
			ZW5jJTdEJTIwJTI1dXNlZnVsJTIwdG8lMjB0eXBlJTIwZGlyZWN0
			bHklMjBhY2NlbnR1YXRlZCUyMGNoYXJhY3RlcnMlMEFFU2Fubm9l
			cGVuZCkKL1N1YmplY3QgKEVTYW5ub3R3X2lFU2Fubm90ZW5kKQov
			RXNjYXBlZFN1YmplY3QgKEVTYW5ub2Vzd19pRVNhbm5vZXNlbmQp
			Ci9UeXBlIChFRXR5cGUwRUV0eXBlZW5kKQovQ29sb3IgKEVFY29s
			MC4wMDAwMDAgMC4wMDAwMDAgMC4wMDAwMDAgMS4wMDAwMDBFRWNv
			bGVuZCkKL0JLQ29sb3IgKEVFYmtjMS4wMDAwMDAgMS4wMDAwMDAg
			MS4wMDAwMDAgMS4wMDAwMDBFRWJrY2VuZCkKL1RpdGxlIChFRXRp
			dGxlRUV0aXRsZWVuZCkKL01hZ25pZmljYXRpb24gKEVFbWFnMTgu
			MDAwMDAwRUVtYWdlbmQpCi9CYXNlbGluZSAoRUViYXMyLjY5OTk3
			MEVFYmFzZW5kKQo+PgplbmRvYmoKeHJlZgowIDI3CjAwMDAwMDAw
			MDAgNjU1MzUgZiAKMDAwMDAxNjYyMCAwMDAwMCBuIAowMDAwMDAw
			MjY2IDAwMDAwIG4gCjAwMDAwMDE0MjkgMDAwMDAgbiAKMDAwMDAw
			MDAyMiAwMDAwMCBuIAowMDAwMDAwMjQ3IDAwMDAwIG4gCjAwMDAw
			MDAzNjggMDAwMDAgbiAKMDAwMDAwMTM5MyAwMDAwMCBuIAowMDAw
			MDE2NDUxIDAwMDAwIG4gCjAwMDAwMDg4ODcgMDAwMDAgbiAKMDAw
			MDAwMDQ3OCAwMDAwMCBuIAowMDAwMDAxMzczIDAwMDAwIG4gCjAw
			MDAwMDE1MTIgMDAwMDAgbiAKMDAwMDAwODU2NSAwMDAwMCBuIAow
			MDAwMDA4NTg1IDAwMDAwIG4gCjAwMDAwMDg2MDYgMDAwMDAgbiAK
			MDAwMDAwMTU2MiAwMDAwMCBuIAowMDAwMDA4NTQ0IDAwMDAwIG4g
			CjAwMDAwMDg2MjYgMDAwMDAgbiAKMDAwMDAwODg2MyAwMDAwMCBu
			IAowMDAwMDE2MTI4IDAwMDAwIG4gCjAwMDAwMTYxNDggMDAwMDAg
			biAKMDAwMDAxNjE2OSAwMDAwMCBuIAowMDAwMDA5MDU1IDAwMDAw
			IG4gCjAwMDAwMTYxMDcgMDAwMDAgbiAKMDAwMDAxNjE4OSAwMDAw
			MCBuIAowMDAwMDE2NDI3IDAwMDAwIG4gCnRyYWlsZXIKPDwgL1Np
			emUgMjcgL1Jvb3QgMTIgMCBSIC9JbmZvIDEgMCBSIC9JRCBbIDw1
			YmZjYzlhYTk5NDEyMDIwNWE4YmJjNTExMWFiMzQ1Mz4KPDViZmNj
			OWFhOTk0MTIwMjA1YThiYmM1MTExYWIzNDUzPiBdID4+CnN0YXJ0
			eHJlZgoxNzgzMQolJUVPRtQNLS4vMDEyM1xOU0F0dHJpYnV0ZXNY
			TlNTdHJpbmdfEA9OU0F0dHJpYnV0ZUluZm+AHYAHgAaAG18Qylxk
			b2N1bWVudGNsYXNzWzEwcHRde2FydGljbGV9Clx1c2VwYWNrYWdl
			e2NvbG9yfSAldXNlZCBmb3IgZm9udCBjb2xvcgpcdXNlcGFja2Fn
			ZXthbXNzeW1ifSAlbWF0aHMKXHVzZXBhY2thZ2V7YW1zbWF0aH0g
			JW1hdGhzClx1c2VwYWNrYWdlW3V0Zjhde2lucHV0ZW5jfSAldXNl
			ZnVsIHRvIHR5cGUgZGlyZWN0bHkgYWNjZW50dWF0ZWQgY2hhcmFj
			dGVycwrSDQ42N4Aaojg5gAiAFtMNOw48PUFXTlMua2V5c4AVoz4/
			QIAJgAqAC6NCQ0SADIAPgBFWTlNGb250V05TQ29sb3JfEBBOU1Bh
			cmFncmFwaFN0eWxl1A1JSktMTU5PVk5TU2l6ZVZOU05hbWVYTlNm
			RmxhZ3OADiNAKAAAAAAAAIANEBBWTW9uYWNv0lJTVEVYJGNsYXNz
			ZXNaJGNsYXNzbmFtZaJFVVhOU09iamVjdNMNV1hZWltcTlNDb2xv
			clNwYWNlVU5TUkdCgBAQAUwwLjUgMC41IDAuNQDSUlNdRqJGVdRf
			DWBhYmNkZVpOU1RhYlN0b3BzXxAUTlNEZWZhdWx0VGFiSW50ZXJ2
			YWxbTlNBbGlnbm1lbnSAEoAUI0A8AAAAAAAAEATSDQ4PaIAToNJS
			U2promtVV05TQXJyYXnSUlNtR6JHVdJSU29wonBVXE5TRGljdGlv
			bmFyedMNOw48c3eAFaNAPz6AC4AKgAmjeClCgBeAGYAM1F8NYGF8
			Y2RlgBiAFNINDg+AgBOg0w1XglmEhVdOU1doaXRlgBAQA0IwANJS
			U4eIo4hrVV5OU011dGFibGVBcnJhedINiouMV05TLmRhdGGAHEkd
			AAEBJwCFAQHSUlOOj6OPkFVdTlNNdXRhYmxlRGF0YVZOU0RhdGHS
			UlOSk6KTVV8QEk5TQXR0cmlidXRlZFN0cmluZ9MNLS4wOZeAHYAW
			gB9Td19p0g2am5xXTlMudGltZYAhI0GtrlQL2Kce0lJTnp+in1VW
			TlNEYXRl0lJToaKiolVbSGlzdG9yeUl0ZW0ACAARABoAHwApADIA
			NwA6AD8AQQBTAHkAfwCEAIsAlgCYAJoAnAC1AL0AxwDSANsA4ADo
			AO4A9wEJAQ4BFAEWARgBIQEjASUBJwEpASsBNAE2ATgBOgFBSaVJ
			rkm7ScRJ1knYSdpJ3EneSqtKsEqySrVKt0q5SsBKyErKSs5K0ErS
			StRK2EraStxK3krlSu1LAEsJSxBLF0sgSyJLK0stSy9LNks7S0RL
			T0tSS1tLYktvS3VLd0t5S4ZLi0uOS5dLoku5S8VLx0vJS9JL1EvZ
			S9tL3EvhS+RL7EvxS/RL+Uv8TAlMEEwSTBZMGEwaTBxMIEwiTCRM
			JkwvTDFMM0w4TDpMO0xCTEpMTExOTFFMVkxaTGlMbkx2THhMgkyH
			TItMmUygTKVMqEy9TMRMxkzITMpMzkzTTNtM3UzmTOtM7kz1TPpM
			/QAAAAAAAAIBAAAAAAAAAKMAAAAAAAAAAAAAAAAAAE0J
			</data>
			<key>bundleId</key>
			<string>fr.club.ktd.LaTeXiT</string>
			<key>refresh</key>
			<real>0.0</real>
			<key>serverAppName</key>
			<string>LaTeXiT</string>
			<key>serverName</key>
			<string>LaTeXiT</string>
			<key>version</key>
			<string>A</string>
		</dict>
		<dict>
			<key>ApplicationURL</key>
			<string>http://ktd.club.fr/programmation/latexit.php</string>
			<key>appData</key>
			<data>
			YnBsaXN0MDDUAQIDBAUGCQpYJHZlcnNpb25UJHRvcFkkYXJjaGl2
			ZXJYJG9iamVjdHMSAAGGoNEHCFRyb290gAFfEA9OU0tleWVkQXJj
			aGl2ZXKvECMLDBIqKyw0NTpFRkdIUFFWXF5maWxucXt+gYaJjZGU
			mJmdoFUkbnVsbNINDg8QViRjbGFzc1pOUy5vYmplY3RzgBOhEYAC
			3A0TFBUWFxgZGhscHR4fICEiIyQlJiUoKVd2ZXJzaW9uWXBvaW50
			U2l6ZVpzb3VyY2VUZXh0WHByZWFtYmxlVG1vZGVXcGRmRGF0YVV0
			aXRsZVhiYXNlbGluZV8QD2JhY2tncm91bmRDb2xvclRkYXRlVWNv
			bG9ygCKAAyNAMgAAAAAAAIAegAUQAIAEgAAjAAAAAAAAAACAAIAg
			gBlWMS4xNi4wTxFlvyVQREYtMS4zCiXE5fLl66fzoNDExgo0IDAg
			b2JqCjw8IC9MZW5ndGggNSAwIFIgL0ZpbHRlciAvRmxhdGVEZWNv
			ZGUgPj4Kc3RyZWFtCngBlc+xCsJADAbgvU/xjzo0veR6ud6q6F44
			8AEOBYUKbd/d2bMtFQcFyZBAfviSHi16mFxswYrhjBPuqPYjI43T
			wmBMOcPUzLncS1FPtVOUzI0hQeqKXUSgoKJTahm5DsTKUOdJrEPs
			UB2ZsoZ4weaxRbzhEKcjfgFF6vAFaMizfAKyAsOfgFLwdv5zGdlZ
			EuMz4MjX+ezXB3YFrm+gfQKkL0XHCmVuZHN0cmVhbQplbmRvYmoK
			NSAwIG9iagoxNjQKZW5kb2JqCjIgMCBvYmoKPDwgL1R5cGUgL1Bh
			Z2UgL1BhcmVudCAzIDAgUiAvUmVzb3VyY2VzIDYgMCBSIC9Db250
			ZW50cyA0IDAgUiAvTWVkaWFCb3ggWzAgMCAxMyAxNl0KPj4KZW5k
			b2JqCjYgMCBvYmoKPDwgL1Byb2NTZXQgWyAvUERGIC9UZXh0IF0g
			L0NvbG9yU3BhY2UgPDwgL0NzMSA3IDAgUiA+PiAvRm9udCA8PCAv
			RjIuMCA5IDAgUgovRjMuMCAxMCAwIFIgL0YxLjAgOCAwIFIgPj4g
			Pj4KZW5kb2JqCjExIDAgb2JqCjw8IC9MZW5ndGggMTIgMCBSIC9O
			IDMgL0FsdGVybmF0ZSAvRGV2aWNlUkdCIC9GaWx0ZXIgL0ZsYXRl
			RGVjb2RlID4+CnN0cmVhbQp4AYWUTUgUYRjH/7ONBLEG0ZcIxdDB
			JFQmC1IC0/UrU7Zl1UwJYp19d50cZ6eZ3S1FIoTomHWMLlZEh4hO
			4aFDpzpEBJl1iaCjRRAFXiK2/zuTu2NUvjAzv3me//t8vcMAVY9S
			jmNFNGDKzrvJ3ph2enRM2/waVahGFFwpw3M6EokBn6mVz/Vr9S0U
			aVlqlLHW+zZ8q3aZEFA0KndkAz4seTzg45Iv5J08NWckGxOpNNkh
			N7hDyU7yLfLWbIjHQ5wWngFUtVOTMxyXcSI7yC1FIytjPiDrdtq0
			ye+lPe0ZU9Sw38g3OQvauPL9QNseYNOLim3MAx7cA3bXVWz1NcDO
			EWDxUMX2PenPR9n1ysscavbDKdEYa/pQKn2vAzbfAH5eL5V+3C6V
			ft5hDtbx1DIKbtHXsjDlJRDUG+xm/OQa/YuDnnxVC7DAOY5sAfqv
			ADc/AvsfAtsfA4lqYKgVkctsN7jy4iLnAnTmnGnXzE7ktWZdP6J1
			8GiF1mcbTQ1ayrI03+VprvCEWxTpJkxZBc7ZX9t4jwp7eJBP9he5
			JLzu36zMpVNdnCWa2NantOjqJjeQ72fMnj5yPa/3GbdnOGDlgJnv
			Gwo4csq24jwXqYnU2OPxk2TGV1QnH5PzkDznFQdlTN9+LnUiQa6l
			PTmZ65eaXdzbPjMxxDOSrFgzE53x3/zGLSRl3n3U3HUs/5tnbZFn
			GIUFARM27zY0JNGLGBrhwEUOGXpMKkxapV/QasLD5F+VFhLlXRYV
			vVjhnhV/z3kUuFvGP4VYHHMN5Qia/k7/oi/rC/pd/fN8baG+4plz
			z5rGq2tfGVdmltXIuEGNMr6sKYhvsNoOei1kaZ3iFfTklfWN4eoy
			9nxt2aPJHOJqfDXUpQhlasQ448muZfdFssU34edby/av6VH7fPZJ
			TSXXsrp4Zin6fDZcDWv/s6tg0rKr8OSNkC48a6HuVQ+qfWqL2gpN
			Paa2q21qF9+OqgPlHcOclYkLrNtl9Sn2YGOa3spJV2aL4N/CL4b/
			pV5hC9c0NPkPTbi5jGkJ3xHcNnCHlP/DX7MDDd4KZW5kc3RyZWFt
			CmVuZG9iagoxMiAwIG9iago3OTIKZW5kb2JqCjcgMCBvYmoKWyAv
			SUNDQmFzZWQgMTEgMCBSIF0KZW5kb2JqCjMgMCBvYmoKPDwgL1R5
			cGUgL1BhZ2VzIC9NZWRpYUJveCBbMCAwIDYxMiA3OTJdIC9Db3Vu
			dCAxIC9LaWRzIFsgMiAwIFIgXSA+PgplbmRvYmoKMTMgMCBvYmoK
			PDwgL1R5cGUgL0NhdGFsb2cgL1BhZ2VzIDMgMCBSID4+CmVuZG9i
			agoxNyAwIG9iago8PCAvTGVuZ3RoIDE4IDAgUiAvTGVuZ3RoMSAx
			NCAwIFIgL0xlbmd0aDIgMTUgMCBSIC9MZW5ndGgzIDE2IDAgUiAv
			RmlsdGVyCi9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeAHteWVUVH3X
			Nz2EgIAgzUg3M3RLh3QjPcIAIwODM4B0C5JDiDQijaRIp5QS0iAh
			ndJINw/3dd33s9Z7Pev99Hx4v7znfDn/vc/e+xd7rfPhsD1RQbi4
			GXq5QsF8YH6QJNBU0dhAU5FHUUtLHQwCgvnBIBAxG5siEgpxgyFc
			lCBuUEkgGCwgCBYAiROzARURrl5ImIOjG7BYEAQSAsq7usKh91Fn
			V3c3KJIXqO5iyw+EuNgBYW4oIBxmC3VBIZAoXiAEDgf+VYcCIqEo
			KNIDasdPDAYD7WC2bsAXUAeYC7HAv5Cpu9gjgBJ/h+3cXf+T8oAi
			UfdwgJx/AeS67wGxQ7jAvYB2UPv7Qnc4XBviDAVy/k3jf+QhzjC4
			17/f+DdUoBbCDop0+eerJtC/yHEauEBcDRwRbv/Mq7tB7lnJuzjc
			s+YDC/ODhP+GAEOpwDyhdrowN1tHoD0EjoL+HTdyuZ8Ch7lAdREo
			2L8UBYL+kTB0hNk6uUBRqH9noPfi/YPevS5/gRf4P836i7suBPa3
			n/9p/B9/gffi/iXOfbUWxA0J8wSag/hBoHuX/7r/+9HyH+OUXWwR
			djAXB6CgiCgQgkRCvO4LwPcnEaAPGAi7J+QJhHre0xTgd0G43c8A
			3nvvB7RHIIn/5RgYKID8V4T4f5JQUEB4An34hASBfIIi9z1BwuJA
			MRGQ3/8NgIHb/SZBkHb/jeh+GKGtOxIJdXH7a3HutSL+99kedu8I
			FOoJtSWe/omwlQp9mZKe6lb5+MO3H0qmTZoNWaL4rryewSwOn87j
			noehbS8EAXaEThMzT1QjKDLUGbFyfY7CEFx2v3/Gjcd8gD+z6mAx
			OicXQQWxhiw6vY/8rWENLA7OXjexcxehSi6JdsmWE7EwUjhMnsyt
			4CxJ3AK8WpxwbsM468vYvPrQsbhTSYwzcXJ0qJHiY+j8wi2ZVtVv
			j7xLhaU9sPlXDhnyhcfDLpS94EgeTNbrVYZUl8yJECAun29A89io
			tIPi9HNXI2u81y9RLDbjIIgRN5Ujv6QoTltnpgkdE5pazHyfnuUP
			37v2qINc3BvKiKP3LmQlTlNbAcbig30JvQFzP8JNPPgwv9YT1ZHU
			TswuwLufnT8qK1v+VITSzDxOhf/gvkpwWAy0vxQB71vSt5z/yl1c
			tPBhSuUwvggatW/XRY8OgNWPUUQAZhWt70Z5cNVusJjeUVb9ALN4
			q+ibutYWopCI+KrOxJOn1zY6go2HKjvLSrh9wvnsX3x0Egky7MtM
			+1a9ohYKP/LrvZ8QvwPEMJvV3VwTfvKfVTB1xpPYomSpb8T2kaA3
			fmfbg0gT8w/uHhF2f1fXiGODF7clPQpeeDWvNRZqcmpQJhQruX0h
			Fl0bK74AsDb41DC1GkkKOBAUr8GMqdPTqzdzNikx/e4906+DYYBk
			cCzNpTn78bkTW08gh4IRbKzq29VTGr35nJfWo/FduVpz/7wg0sxZ
			Ri13VCww4u7GHONAwODRgFhCiJ9fuRh/XH1XWlHxWMZFvIDN17YX
			wqnFahulxvSZFwkajAR8OEFwnt8r0jkJ05RiA0eBOYR0QQu52Mtz
			RBUs3LQBd9nfrvGLhMbVy4zvjF6YYeBk++1HLupG1bVs17btBB33
			0tGy9JljC2L92jriNLw+EIcSfzMZaf5dmwi13E671UmIf+hnZlWn
			cLISOVpwm4gIRi0RaFb7VtOedJhP7U1M+IiE4Q67mxGnt9uRaDlr
			a6dZXtowL73ld8npwJxH/aHk7ghDEr81bYx4+IQpJa8D4MfCzuuv
			ehnjAiJnkNrcDHggT8nQS/y8c6qN7SRitKDke0pPbkXihzhtl8Og
			gKQIOWxw0SFBkHdgHJV0lbjs1/0keT0qX+7KWx/W+MhMd6vP+e+3
			VWK8A6O9pGUefZsPR1ac79M+pfgYcL9ctedyMg2IhP11ahGh4EqZ
			2tBOBvSXAnnrQH0n/z7Jis2LtXkiXoyfq3Cj601SC2rn2xeqeS+P
			P6ZI3igY0aCVRS7AJlaWW752V7pCOPBGWI1hewdPnhmr3chRTyqx
			v7SClIoTDG3l+UH3EmHypiIDF2vR+R2lEauoaQFm6mWb5SXOEt6p
			cXCdb7fdl9fDHdY9RrCYnlW5aLvFGAh9wzp11jerT32BOGt42WLS
			1FyznO6vpDAvplliu1PiNH4eqne9mEmHDYjTb2y9XCpFSgTiKARi
			RCp9vo6yesW6Ul8y/EFZsFBv8HlZD6Xaw7ijLauukVq5YxIetElO
			a4hjpJNDirVsYX17HylOtJ3gQ5jP2PCzRtdBM25mpiz+SjeIBNfj
			6m/pg40CS8TeEA96NSLxkuIWvDkPZe7dplLxYSjBkwBp2s9LBIk4
			EVKcqC84UiynhBC5q8Kbzu2yI7dM/9VNUY/1pPLR3PbX+FWTok5P
			CITlCGmhrp+Sj1Y1FfD2NfXRCVdycm8sDffCJa5QenIFMS++OhTT
			0VJ5izcH8tZpPjJGrQnzSTTOYeSm8T2X22Wdo9N8TulFuMpc5PY6
			KCTn/fJeWEfDSuevjUR25cEHgLYaEVmLr1zaxtbhHMBSC33HoPVS
			EURTCZCIGf+Ah1fNtfP7TA17TAsIfHOLXWUU/jojqAFb5rl+VxmK
			UaJx1znnN0blAF/75c14eMdR0HYJt8BTyXPgkyqy2biXJNgllvnN
			2Mhf9DcrU2lV5BivtvUiM5XyYiizvGpBDSpPNWLdEJM1EkHe4Mos
			tQGqx63W6v37IdIf8j+yj/3oVc3beFOWZVAkX7Q2ef1lZC9dNo8q
			gNp4gdPknYRETBuL+JfXYqrM3zXUCB+Enrsz6h1HtJII0UB/I8Ul
			HwzwtHbkvc859mZ8+FGJNM+lyW1QOX1qH6ETCBjzigZjf9fcfgo2
			gJ/SErz/k1KDGH9NbcJtQ/aV6ppxgslMkqmeMyljmKesP2JQ45Gu
			BqaC7D5dYQBz3D5LBQ0TUFP+G16kZ0OwBVvAtGFIxbT1TZod/qI9
			21rtfPd2tsUpZl7TWKY7bN5jZORwVFn1rUh1Lx1VZo00p9QdF8ys
			gD5H42rfBRkYqRFMDaHcnO93SH+tPAH25nP6E4xlxK/t+XjCeJnK
			cOtCgxUL/Me+xWcdbSijP5amezGhMQSchjKfDD+zvz7vxMfqqzuf
			VtYKMVuOpR6Lzpzr+hgvGaFT/VRbfu5ZHLWiR8NGF8uHK7FvTFia
			59w/VTEcwQCnZO/zZ68oCOZV8fvzHC2UU7SGSL76MdG/F4/F2Vs2
			IUhXzozuneaR6GV9ySQfoL7/vjl6SQuXQym1Ksecn4FTHsQowAvP
			G02qeMdaUkdDwM+noVFVkTAzg1stAlQT1So4GOaU1LQJlp1qY2I8
			3sEMVtZVq/cJZnhU901b/31I2XS1Ov1jx0tGkzZdh9KHOJqjlaKI
			TpHYFcxZfBENI4xlgIW8LhgVga2dKVdJ2azymMSdmVzg0ec6YZyZ
			8hxbApvYjhXST95YBwwqt7bofImTi1ZyaRrBrY70cC2uGeYSUwvq
			0nNKPn97M8neDd+OFhd/vNk5Ndks7sYVXhOND/SP5OM+vCpzr9Vc
			tHpjHhyIWKlqlniFzCavrgR/D0lxS2r1pQrbfL8POSWwYzLGVSb4
			pNUxkQhBa7aX5DV/x1P5cPzdAz7Ue/rnAWRfwkH+VeiC/y4M3TZP
			gX798RO0to7kdqwU/Olx2zoWVDAJLqn05GamoqOUfmFrg4X9+JyE
			Ln6Cndbr7ZO71tQ/wmjI3ebWPFZ0++T8pEHqOv+yNlHC94sl0u++
			kUwP+A3dHdgORFtPwg15HuaRE2IKTFCjUipmWvg3K23WczqG9en6
			p2OPk84FUkPN6YyDIpsFB3FzvbmE0gHMCBYHN72wiAKLQNLIFuTZ
			xCaz4P6sieGDoSTAgLpq/2T88bBT3d22yOH2ow5bdYT0QXs/+ZPK
			G/LpN10FrLnp4mLBnze/3WQ9y097/prekBGH7C5ahd9loGCHLr4R
			gN0p55zl9k7aZruEo2G6cgPwsmuuOZp9Le4X20eh+bUdwL4afdHC
			eHWkugN6vGD9AN+JwWxHaNkfoZbku6gAXWx5oAdqZ0sVEf1Z8PzK
			d9iX2/KzZ4pVtqXBJvdK3oeZVH3IMIf0s8+HASCZRSkco0ihkIP3
			DK6fsH8vTDOoHo1p/vhVyfhufpXP9byqZCJaRrzeQ3YHVd7m50EV
			bwIHmeZagrLT67MKZ4t8AEaqwJe+yeAmLQMmPSumh/mKTEYLnB2c
			1pOFo2ItOCvIDAAfzQ29Sq/6lTqvYBCWishLu70OAHnoKYyBYuAb
			FueiERFXuiOWNXNnKTFHfRqe+alZpVk3KCJ5stCad+XB6Dgz72/d
			B5soc4zPSr/l8pyjV8YM96Ymc2nH5UjkJ0GiJ4kwcHtS75CckbpJ
			TALgoKVf7e56a/qg3dAVnmBb994drmhoP4RRlqJn7ql/KPbsknvp
			M8+HDxJSRl3kzlkk+uequWmq70ptn3BrJ8abak7rfinOrY5XeBfV
			/ufr1ehjN8HajwWly8duZIl51yse0VI0mWgZeFaFfKvYsIg6jQLH
			Hlf0gcjrJptffs9+ZESkZ/z0a7LXoni8mJW5jBdsMBiqg3xP7pVb
			QRwer19K3074ed7yMaXkCmow8hLDRdcb/yx8fkjqc/L8A35GOY+H
			jyq8IqNW6dYMiX/5ZJGFXEi2O8rErDWQyJZVVg9/snSQFDqgdHza
			RVYm0uCFlrQ7xnXCv5nC08Jvg0W7IETSX0tlSNBOLjJBGhtEv8kH
			q3K2IKzMSjl8wrosqDiWymz9BzfEjvekbCYoNzZSyLzTRq0Apu7G
			AEbeYVw9zj66pnMyv4Zhhp1B0FOe6hxheyMrJ48jomJJ8Pz0THdZ
			03O7ESbs1aL88bj3T+OU/Q2puqVrf2sqLRVeAqVt6HfgzDQJV3Nf
			iUhiY7Q3WEPQ7SNeKo06fiexNyavJdjnTzpXubdXwhUJOAhJ45CF
			JJc9F5azF2dyl/CQfXlyrdF4hXzS4v3mkV8p2QlNRtQKjuW5qwKP
			ZyOabFb419bOHMponjPiFPphM1Bt6UTUyGt4FwQOfhabKOGL8m9Q
			khxL49T0VeM0ouX1oYjMVh5jdU7zYctGaj9TtW0Pd64NZ3VrFUu3
			jQqnUFha+pnuRVYweKctARh6w7e635c+Wl2sxcm/RxLY/VA6JUl+
			oboVyMk5SiqzaGJQUW3nUejsvhBovjuuEkM0Y3bCG0KjWzBUjsjl
			iVndVc2sKRVL35pi+1EgOqtFvTS/N6QcjM2PaF5FjfecWdlT0oOs
			WZVenvhun1JXdATKBXCs6SsJFRqdAay91UrFLYZxuWhJohRDBQvA
			iV3FGcmAX0GdRUNdhipblyezgtmQpOfpjds2NBxcIJHNzpWV4Il8
			f/dgPQh1f5x/gYM86smOfMJZB2/Gwtv4ph74kTNYuz9L2z9sydgd
			scEYS9SIRxqZvljZiO7pbFwPfe7xaGIIXozJwfqIzQi8V+V9ZjuX
			DdviefqWroRzhMC2qxzy2BlNeHpSn0yXofaWQH6vtC4xE9cNIz2q
			56z9tqtWghG/pn+XCKNRJOopewWgHiNAzs164OWqz+lb5hBzBHMl
			HUGbbI1NfsUqgAGZBx1NvprIEnMrpeLoD11pfwDgNw6Zlufqz59D
			tnzIROEevmnJBHlFcLRTiKfjS3TDZxYCD9OiU1L3zTfMkrzyMXgf
			iISdjUtrhkb3HOb0hGJEGKInaqxEqZW+9T8OSDFk7G7OV9BbIjVD
			b6c5GAarTw9whs4A+xG20uGJvDTpR/Ky3PK1t8AILJJNnPCuTfb8
			kkLz/rCWcwnS66fPiGWbfMcyHFQZW0xsZkeVD0dckfJpDwXoD7xJ
			WZYQVldGtv0h6gKFRGFNhkKpL88/vrXQl8XFTKBCqjmxpMWBVO3L
			auy6C157ybdD8z1OBfQ5LGzbytlIX3zckRCvBPsKhiUqCghhFFbr
			mAdkBws3NkZXaz7HyE2pv+JOpm/IMi1wPbNJYzZBt0tJWF2bhn0f
			KXgbxTEkllBO6tt/9kOdwjxI8zisHR055HiTmyNSrROaOO01GJuL
			7ZgG1KdRGPjyKC0Lej0SyanQZ+SmaJ59YEh/1PO6fto2cRauEP0R
			tOq43Q3WyqsLyKi0juvDGF8MW62h3+VDc25lHJ26bnWzxpIxkwzW
			PUrI/i6SnN7HQEz9fg3AtBBGbVS/IAm8wBbeL9b7+vYJhmledhGx
			c3TcJd/43iH9ZyzUdOhbpeT2d765BmlRs3RmWxoONaGFByS/2Wz5
			R1isX4UVlFm/PJCNsofkRM/JieAlSIUU6zEU0yqykxlcOvYCpAN4
			wtNVT3Pbd/iGKmtYZfyQ/rkaRGHzv40ztLlNSNLncDryx+8/1gbv
			cGu59pzdK3DnFaxwj68ahFIwHfMxf/cWWlTvrMgcN8mK83RypfZ3
			BiyrXxuwLmIK/mBcFWVqGG4+lEvNxgSicPt3bLCNphMKna6pVg2E
			wBDZSUK0mv3UpxXFdc7M2V/O7iMPP+tmKKP9ja0ka3w2Yjhi01/T
			WwgvWlrQ8tTEduf+wCcJ7zuPsAvq4oePeu3cb/i4hYkRYDZBuhE7
			75PgYYKuUHDoM0yLtmyR1kbQ9Ua8p3dxbp50254OLYWOFEj7Y+w1
			taAUVWJliJ2Wcq8Lcj66mwnyonW8OUX7in2d/MVNJlGL8nwvR+XE
			WrXzRoZ7Ujn1O327ub2xtfKLUNpsPFZxJS3vNmuOVegXB6M/QtmX
			Bl8bbpT9lRQrJpsuOb1jSk24FgFm0oWEQ5OenTv9biHSOFrsUvk/
			V7f1tsid303R9B8l55LScC5FLZUVuxHZ1do1p+8795zAJAaHMfep
			cM/Gl5TEe1crv8ca2UQ8vxMckcDTXKiTkn/SMcKvnjY5OrnRK2X/
			GddxetpTKpNBG0ZsDsJJBOR301tS6jd0eE52xs4gp9bXvXbD8ArI
			qKt/2gpDfgqyYI+qYtZmLFGPtU11g+KPIuD+svyltvgSka+Kq6ai
			GofYls/SUNT47CQWcjJ7Ls/MF0DVF2Rboooy3bcCbkGL/oLAxj6n
			8kHhqnZAOMZpl4cGL49OuYHWMzXT14aUZpXSNzfbyJUXKx6fQhZp
			7/RfiNAbRI343exzc3VtghxOD24bITLVJs7ODmJFefHj6shBi6RC
			hnXxTLQOBZPMHjqEK1tKjp3na3aAklLgq6IvZmOAN+1H07U39O51
			JXWR+V48fNSLlWHs+VpY4jFSSg95GHPP9/r8V6imJU/qt6+8/Ms+
			RSocSqNb5GeztkgJ9fPXJK3bzTGfhHJqVygxJf1qFMgxnTyPrT6u
			eVipbUJd6ezMAWST3Q/UZc5KojrenHJcIS0ijwhYSRV2fts9wuZe
			/PwsMUs+vhTAsTv0SlPIvk54Pv+RGTSfcc2A2d71w+6wBztUhGNA
			/PfLL9p2qBPATZmQyle3sahg32yLepTt2KaQFS2M1r+vQFltg9YB
			WumhZJElcUteAJefOg/YFaAq2f2o2ftk9EvF1GYrJhBfWX0mh/DD
			Zxlf63LlE5MXOuSM+lWhb+LJpW5So7KiQgjaW8X7KfJ3fiTmeRZR
			7hI75WwWsJgLP6JCPvBsgixprEjM8hoeOU7Ekwmb7151804dGnLD
			YxJjH/342PqmY+M9eTf3W2ws/KdUuivJM6cvdNNiCYm9z6n5lJgl
			ArK/OkJjUrxr/nRSEtNl6PC/o1QpdGVKqNtKKXiaPYbfwBDiVh8Q
			tvcd/eUyzM3Oj0vJvEAsHWYelCr/FlCr9iHgUYJ42ta09ouS46qv
			z5JcWtCGViS3Q08xEz5dOv7YvQushwtZ3US6znLHOhM2a5fKsyxk
			3qRsfGFra3u45aS95ynYV+o1+mcCTlelKzY/kmWa08vnk7y5sbvm
			/1xVRjh4weEh3rRmEFvt8LVKsEQoaiOm9E18WHFdlqbhGrO+pq1V
			D5Czhp7QvGqeZIqlSX1JGHDsCF+trZlbhhrd5MyEFSmGI3/GMEsx
			5FHtakg3DxBQ9hQJcfHeqtVjc4tVFf4YsCEmQVYgPJ/cgaoblygK
			8bVqvIRzbaLNTT+3x6aVraV9Kv9jG65dHBotVaRNkWD4evJ5jDr6
			rXjOPoQzL7AOReN5UUoSOJq/qtyY+Yl/PZbEcllPauMGzX9hz1bH
			Ps1L68MWz//148u0YcWCWNSd8uyKtO972ZF9KmXci4RJEI9iosud
			6q9gfVM+rawe1XK+UeJL/35iyZAXlimck/guB3qi3ZfC7oWT+j9I
			TWvlCAqfkl84VT5h3JZa71s21EwhHpRvWaRYnjyIbT67HuwfX6fF
			/8PZWTksyBdDC45FB+dmX7n4iOIuQP/8jKy8KU8dJhMKazBFIlhf
			cYU2zP3K8hWTgGlp21guBUlnyw5y6ppznhplj7qbNQTof02ovDma
			3Fp+iDl1C9IwfNuxczwiZF+13Eg2ZvO9XiqHAmenXD0cr/ePp47A
			Lot5C89+ja+kFEmew57KGJg2PjpzGwkLa6sTALAAm5H1Enj6mBcO
			Lgub1l9DWicep1SBtgwWwykTv5gqxlhVFKHLjcor/ZLw0+DPrgN1
			Lw0CbsWlhGhyyEvJ2uP7ej8AeZv9RAHvsyaCWW8Te4U6Ne3WMdIG
			Vl75VK9vBESQCO2xPaM5VFY6b6SrEhh/sY91gm/9GKaX9VS6IBx+
			lOrJzv+4+qKHpwwzUvUsOcJC8XSsf/ZV9uDXPQycDUc+9VaE59WG
			XVlyUciDjNsVwzM9sP9rkNmyx5VhAuEXk1Auw5cMx4M13tTBuq9Q
			UbvERt9pi2rg/V3igY6kYwEtiW6qGeMG3MsNF8dbJbaZsky3Q7iY
			kflMz55nx6uBkVaRDwO/j3k7pN9eWerxNEo+irW0p6XI1CJSLVv3
			eGM3K3joGxN6ZFMUTjuweXD15QvVurDltGyCpTEn2cxcEJKTdXDb
			BILOfPPTI/2VPVPTGcU7rmOYFwhGGSm/7yq39bRvm0CLkIwjRfrd
			7MfthlBpaFklN3r3LIg7RoY6knHYTMgdc50ZkixZNddht0iBDy9i
			GeAaCcVGdRFjsbgSqaXA2i3vAs/3TKk1BnPyU6rmtNjuGAhiAav1
			fCofB450Fn+vBD1Av7MxIWq+1kkZ5ybCiY4A/S8v4v9lPej/N7j/
			T/n/XkRbOBSCdEM4Q5BOxP8FYWFuLAplbmRzdHJlYW0KZW5kb2Jq
			CjE4IDAgb2JqCjY4NTYKZW5kb2JqCjE0IDAgb2JqCjc0MAplbmRv
			YmoKMTUgMCBvYmoKNjI0MwplbmRvYmoKMTYgMCBvYmoKNTMyCmVu
			ZG9iagoxOSAwIG9iago8PCAvVHlwZSAvRm9udERlc2NyaXB0b3Ig
			L0FzY2VudCA3NTAgL0NhcEhlaWdodCA2NjcgL0Rlc2NlbnQgLTI1
			MCAvRmxhZ3MgOTYKL0ZvbnRCQm94IFstNjMgLTI4MSAxMDc5IDc4
			MV0gL0ZvbnROYW1lIC9YQ1ZTTEMrQ01NSTEwIC9JdGFsaWNBbmds
			ZSAtMTQuMDM5OTkKL1N0ZW1WIDcyIC9NYXhXaWR0aCAxMTQyIC9T
			dGVtSCAzMSAvWEhlaWdodCA1MDAgL0ZvbnRGaWxlIDE3IDAgUiA+
			PgplbmRvYmoKMjAgMCBvYmoKWyA0NTEgXQplbmRvYmoKOSAwIG9i
			ago8PCAvVHlwZSAvRm9udCAvU3VidHlwZSAvVHlwZTEgL0Jhc2VG
			b250IC9YQ1ZTTEMrQ01NSTEwIC9Gb250RGVzY3JpcHRvciAxOSAw
			IFIKL1dpZHRocyAyMCAwIFIgL0ZpcnN0Q2hhciAxMTQgL0xhc3RD
			aGFyIDExNCAvRW5jb2RpbmcgL01hY1JvbWFuRW5jb2RpbmcgPj4K
			ZW5kb2JqCjI0IDAgb2JqCjw8IC9MZW5ndGggMjUgMCBSIC9MZW5n
			dGgxIDIxIDAgUiAvTGVuZ3RoMiAyMiAwIFIgL0xlbmd0aDMgMjMg
			MCBSIC9GaWx0ZXIKL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Ae1Z
			RVRc3ZrF3QkhQUJhwaEKd3eCQ3ApoIBKoAooqOAuKYIkuLsTCO4E
			CQQIQYMEdwnuEgI073/v9Vr99+pRD3rS507O+XTv/Z117+CyMirD
			Ye4GXi4QEA+IFygOMFZ4qf9CgUtBU1NNBADiBQGBxKysCm4QsDsU
			DlMEu0PEASAQHz+IDyhKzApQgLt4uUEdHN0BpfxAoABAzsXFCfJg
			dXbxcIe4cQPUYLa8ADDMDgB1RwCcoLYQGALuhuAGgJ2cAH/lIQBu
			EATEDQmx4yUGgQB2UFt3gA3EAQoj5vsHMDWYPRwg9k+znYfLv11I
			iBviAQ6A/S+AHA81wHZwmJMXwA5i/5Do4eSkBXaGANj/YvHf3GBn
			qJPXvwL+hRSgCbeDuMH+HmoE+Ysbuz4M7KLvCHf/u1/NHfxASg7m
			8ECaByTICxT8JwIoQhnqCbHTgbrbOgLswU4IyD/thrCHLk5QGEQH
			joD+Q1AA8G8OA0eo7WsYBIH4lwfyoN3f2D3I8hd4vv8yqr+Y64Ch
			/xzmv+v+e7iAB2n/kuYhWRPs7gb1BJgBeYFAEPAh8uH5z63F37op
			wWzhdlCYA4BfSBgAdnMDez2Egx5OQgAfEAD6wMcTAPF8YMnHC4O7
			P/QAPEzeD2APdyP+x7xAAD7oPyzE/52DvDzcE+ADBPDwCz1UBImA
			ACJCQL//qb2++8MtArvZ/Seeh1YEth5ubhCY+1+X5kEo4n+d7aEP
			44BAPCG2xDNTcFuJ0Fcp6anuVdTZX78rGre+aM4SxnPh9gxmdii7
			em8SHmt7zY9rR/B6cpZRBUWZofYMI9/nNBzOYbc99X4iOttJ3bKb
			2fCKQggRxBKy/DopclvDClAanLNpZOch9Di5PAqWIytkbih/kjyd
			/4m9PH4H13V50rkD7fJbxq+b7O7lvSpirMnz0xONFB8DZxv3ZBoV
			vwOKHmXmrsC2uTxyNxskWQ/Cnn+sACrt5Zoh0SN1LoD7vpBn6MWZ
			4cduyovqnhaWD15zwhisL4PAhpyPHXnFhbE6vmQa0TLEPhExO3wW
			2IPUweAcKA0OzoytXqZBuhHozqhVFBCnYktexxxSiKx2mr6RBakj
			1StdHqXCI3mptHs5tC2w81rp6mXF3ULu+0nFTtvMcCcorSZoVI3m
			El1sOU9nkWKl3XLeqECPgUi3E+VuesmjuVnUDktai0Z8ftySpD/m
			79fza4xMRLeSc5JSFAPKG1+sfs2YHyH8dCaXOowu8zxbZijkas0Z
			TWy2aEr2H7FJuI88FQudZUnMPZpLqAlglVaQHWr+uO929kKTk5eq
			MSKMcZW19nvTu7i1eWTfy9dhT/bpvvmh9Zj/MY8ZwZswH+jQpy+m
			vc1SOGJaGazry1Jm78FlZnFGBFz7S68R8GOfO4dE7hCYKPbmlpQy
			/tBK63lxFWSfYeHjKyL1Vnq0sQA/EnlldiC0HxQ77lynevgH0RHd
			xXD2DqUxrI+5sC4KpSwuWVlCh7CEj16NBfncgnGLeXakmELvepjK
			Zijry1MsJq44lK3FJL0v6G6LDP+EUovBcDXpDCZQgQMpAq7a9x7s
			VlIlmD8vjuGXMQTbCFNlWrI5uxTDfNZjDxXv6gUxrczjXAc7L9yn
			EqwsLOOLDXEYd+V6WUUhFKyK8xbKhgfMpF/H/EwEMJE6Pr5newre
			v4qDReYa3nIautk2HOSXHAR8HbIsKc2JecHfy2YDC2116uiDcmcT
			uWLOLU0QrwyV4LX5PV+sNV+WqwzYKShKa2xgALbqE7tzrGmwGQur
			PhrpdaFJorYnDpzH47jQiKP4lci2s9NUPMKB48sheqexMMx+Wamx
			V16aJ6cDItAdfBJFgoNpTTVggaG6o1E6yXJ9TwgkCHlVI0vGuhXX
			Rb3BpuEfL/Umby2mmT3p0vd5MAvW4B1me5iysSrOJHOt6241z9qG
			VoyDVMqLy9ojjZTm4JiZ5SrEZK3F4ljy6IxhjmO2PawQ45esTD6t
			MXbE3Y6r33JymkWxyAGpSmi19vRSpByJPPP0tDBXq98lLX0BQ0M8
			HbBlfMy7fZlqxBbn2p12k4TtqEMYdviHNLjLQYmsRi8Bcii9x1zv
			d8GPUQ/I0FAGK+utdgr3lYzGnvA/6Tk2l+0/YedD+kKov1xU4Z47
			yk7IzdBsFiqr50B4D5YxLE9MYlRLimjpIfpvONT6N4dHB25IHxUT
			SOl28Z9zYrzTAVmQZmHKfMltS1iT4RuRWjpXPofhYCoKxZ+tLV85
			/a4QDLuMhqXiaDEppwt6CR+pAKEH51MdRRTXfFLJjp4GfK5aFhk9
			gaSfDm1WqFbllZw5G5szghMvHJ6mxv9ZkZaikjhETh5V9qRxw0iU
			arcGfs5gnq3AsSyt2zYXswiJn18cElP4rlOSp/jLhSjbHAVGPbb+
			3md8URBHrlxvqvw4msl35gRsr8ST1hoo1Dh8Pm+dbeGOj6weL6Id
			3G3feDa7R2luaCeIF1aPSrAIGXLZ1ffOkxm6TxTgW2UQm5YhJ3T9
			wBsjqaedukb6ymq1DpVph16oziEnpG2vW3D7BHaBZSwvk1Kie9AJ
			nKneGYezIblMj7GP/at0xj/hqnBxdrEoZlq7LhOri3kB8mVSrffE
			Qkq2lQGzeigrrntGlgmNtQL0N1HkWNVxEOgdvwAhTxKOKX6zuKTB
			XW/tVkcCV83uCtvNpUGbN3wjv+ILmVnoCzGX84jcQw23AHHBcukB
			LC4gp9cEZF6wrf3Q/B15M4d2UYHv3vlijHxCugyRhCf2sPm+Aj4q
			PL1jAoR0rBsT3ScShLBH9rM15x6OJa9e5Xaz1EU/cqru/r7EGZJ+
			HmTJy87zvpYx4Pq7UZ33EoTsgGUCmxpDaevRpUPBpx/ZU3RjAa3v
			pBBJ6UfLh8uHNG3sm694uNVLrY7/yKcbBYS010w1+ne61W9oBI3b
			RWdpeJzlGzkq8K7wPg2zETz0Jb6yro7QvcTwWEdPyY8gdl58ZJy6
			JtxGENGp5ExxxBC6g6PEn4lD0tzcSRg94sPJMrooAct2e3qDZk9A
			ZUJOzrZNCrlTB3uIty99ECBD1vtGmvb7uBq0sVoKbqR9pC7qevaK
			TcLR51tYmWD2lfb1yEHV4UKVTM780AnqF5t9OoqEfxWasbT1I8nf
			OVwRZ/xkX68yZPq0F1+g9yplu2yhwKppbveYPPaettpk0Gm0UvC8
			eF2QTIHKKmfYf2/M6aTl+oyIMNdiugRRG7p3MO5QbXxPdnw6tJ6+
			t5b6qIh8cH2YwjevyWHG0Ckokm6QgngVX561/hWmtFZe5VBflNec
			os9KXSz7wlSx0+y7isRIBo9mtqkTsqu3uiNP5pTGQaIsUwjpS90A
			5adPoBEiOjgD8gpqoiJ1F4fUo7KbTgXMB9XRLs9U0/g/Y2O7lWcy
			HDmFf//ZraHbi9TFLKzPbvk5XdToe4rDJz932emr6h99+DlqwrNZ
			4Acbk33odAKoqO+LVrTMKgeNy0Hlb0MLQ5o/HLN5JCLqh5zrJhKc
			RwfP+X74k1qjgPGJs1rHn3op6BINVu7lV4WzBLY7db141A7hGM57
			Jq5oz12Dd7tXr33brWiIgrv6ROi1AriUExN/Jvn5S41XVaRtuvzM
			nWf6PQGnRg7XpcZktbtfv/INYf+taN/XEHZpWhZgNkkRmdBId0lr
			W21q/zMjmRUyMUJFVRFh7YFLMyZWJeC7OSo2y2tbdf1rOykutj6r
			1+0+qvb6TG1T88lx1BFtt5rrXZ16Uo1Ttbf6b2WpCktXyemB4O5I
			XZvBzZd0vc/u40YgT7RSnDTWLUdA6JT5VD8bFejwduyk+FNiRldY
			EvhefE39tm1BmReN8KBoBq5s/uQ+OfJqvVuEM61E0W3DLDELBOLg
			+TnpOhP8QqjgKHYzvRrzs09cfcamq1cSIWXlvyshIzLM3GYtryPX
			T6s/xqMsfx564H1g99aD0gwlOZ9+0NCPfgPSYaB6Uk+mc6VW9+HE
			Ig1l6czNiBqehVfoj6XRbAQ03DAWWEiOpw95PdGbt0TUoxMIZZLA
			1dBt9rVw0U+PW423fPRe8fSgAXAPzEMzvgWsVCTxPpaJl3rLYHTe
			ReqbEAa1Lpkq1niWTnBLooZn3v++IZ3h1eDuTxvn5M+Y7UeAw+ys
			sPuckngsg3dmmMhs3KIldhk1peHwvY4sZtV1H0KL6EDGliaZcb1s
			nrAeth7v0z7erzZ5w3HVRObzNSFl4p+C7oU+BqOVeb9vqS6OK0hj
			T3BlCO4IbBhCa8N9PfyYILAdHzWDKX8nWnyzE2mC+tGWG25nZINi
			uNzn3RFR0zQhyPnirMbV49w7rBQwR5+0R/bxInly+yrj3PlqCncW
			q7XkhvGtQDQIPGeJdGDPopJIgZxLko2PK4VNMJ5n+uk6Yn5BT9Z3
			DftjWXgW6+Y5N+EIrOlMeOqG5mdCyXLTh5wa65xhAKUyvpEqfsKD
			H/98xx4FsIKknaA78FQosU6zbLHRKhj3Fsocqfg6EZJk1+haRffO
			ZZsIr7Mg3S9P49/cPHZ9iYM/meVM+2qXLWiJrO2octUWuIJWq9ZB
			HNkvQ3qpe8Y6S3+LIU40QPkHRYclJS51jsK8eUFnKPaLKoROG34m
			gZUzERsXL33woS2nAUtFfNB47K2Lw0d/BbMxMHDTa2xxd3bbbSj8
			+4rfmGpYFlO2gYst1QKdAn9hLMub4tF3Pqc5hALASPbGrpSWKMnK
			st0ZuU3+oao02Atu268XShDUI9Y/zbvYL36AgnMJzGNj8XIioc04
			T1mYeJTqlASpDto/emTyrQFt8C5bfJdzl2eVroPEnv6SlSNjDsOs
			riL0TVzU30oMGL/DNsNhJKhxod3YHcWV66JZ1qbNUfz0UreHgco1
			dHqbqAbZd0l1bPc8lj3ut+fqnox3eXFTIdYaysH6QPCD3nE/2I6b
			NUngV9CndnahV4Hl+LQxdVm0Uas64FC8sZLPnT2MH/tLt9UWsy6j
			QzlsA+X48XcstzaTq15KxmfUVkQ2OF74lhJ9vsJAr83eFBE5dHhu
			k0ZheaY1OBuXIyCoWMmQd7dolfCWZWvP2D0Nbs1pfByTWSap8d4s
			0qP4fsqIjNmnaWu4RxZBgBfleC1vcG2nU2OP/Hx08qp4jmMmLFf6
			SWkzmRdB+DjmC78kCiUOd+TG+grnQeyx/4VnXU2MxGdVExLY41Ck
			z+gATu4ojSaz+J4o+WaRTF0y53w1CyYaRxqif0R7A+mIgSj7dl+V
			wH2dRhAk/Ei+L0B0h9V35qDio7l2YIvBYxeHU7/MQWPILTddzbvK
			ZmsXRcQSZSFCh8Q4IXt4+K0GdOeeXAR7dZiX8WlKCuxFNHM0X+MS
			JwPVbpH7ou7MR5hkA6Y7TRZQ6hWBd7F9UpXhot/lR/yQuuMEQtg3
			3gNdcDqHnwKlQHUw9Nvv/BYgSgkj/hVtq7kJW9P68Y2+1oezx0Sx
			+3Jdt3xkddN3fDVfDaMiveCzmnT6gMr8ikdftugVIr+SVJWxt8xm
			Y1lMvWXcyEUlE7dJgkpIT+lgbBW4oLXl58pTyj/6bE+y71vxdDNv
			yI80283mD0vq7sLN1S5NrS/HYzd9JdRu2jPxdcVsLluWdmu4+fal
			vqatWKf3BGhim7GCPBNLSs2tr5VaGNYNv4vq7OZtSS8IRb3vNzRP
			Sxuw4Ir3LIqLndMz4Lf9LfrF7HajmFl2lfVIbGotUPyknBzsuJKd
			Jb9lgIGtuuo1c8KS5HsVxfkTEfXywk8NZI5lJUJoz9OgY8DlE9yU
			0PbGBuOH2GHxCOG58De/bavWFTEKUK8VGnZpotNCGo+7YbfzxH1Q
			z3IALAnQNN0ubzaLKcHCKHQ5xZTqyhV9g61sWJ2OvdGbslseGdrU
			nXBpSurDtDjpoh51Dye2Uqew9TphIWT9rInNTf7w5viiAvP7BXyX
			bJ3G7FUShlMs7h1Ga4qP/Xre2J/R4n5E3F8kQ9PuZCZVd2+hn/eZ
			OzqfWfrVJ4IgQur1Lo/wBEerQanf2Vyij3UnyrG34KeEIncr6k7F
			hfNJnmrKZVw9fGJK2VvxBHo8L8XEGb5gmP6CTH3DXtdNtUiqL7eP
			wHAr5YR4k8FaDLTN3LnYRQX0HPH3MohDEqBOJjr0lTpaqJ2LNOcF
			cY41HPvfihjiOXgUBVGFFJ/Gmg5WkM/Hrm/b4iKtLA4JxeU4bE4i
			tepmbV21KhcMy/x+oumafqCsgkIihK95vkQGwKUnRymfnZ2kN/Mk
			9H+LOrGPO6RcBa8bPEUgNxQbehsCLUBvW5hSMpz3+Ors7DQbwZuR
			I7OqWtTd4vSPwkFPvkENY0OCLXfeDFVUPcuNu0jeOI403C1SjT/K
			Xx7QaT/52mYOY1MVxH93sk20ohmTff9nNvxlE4dJ+D2zyvq2oLrl
			e0mXOPCcYtMHu9/7pwXbCHWfMYURSUabitwlhw4Qeku46+dk79xO
			HgJpFY0POq3u3nR51zcslun4ZvbXQxGZi8F82yzQ301W3J2a5xwG
			F68NG2VpRlCWJWQno3MBnlE4IDt5BdVHNJQI55kxmr4pJUxBrO1E
			4vu+EXTi8F6JKP+qeuHa5vc6+OeWyPItkvYr9lXvtGux+bj0lKS9
			DdFGyf5f3e+sSsiu7sLfUzlfI1U+i+A46mARzXpec19w+MxDAvjD
			cYdUk7O61F1U5ncVcrF4ea/MCrzRD0VeyzJs4zlDRmdKkh5ZBerW
			vQ2uX5tteIWwNYysjul5pU5D9/UFOfJtx3c6/AnCsT0l6nGeJSZh
			2Tzhx+sryST3GU8v7PfnO1vNmRN+yZ4Sf5P6vZ3adExFqh1gL0cO
			lkDiN/Dqa65lt9XgnghHnFriJ2+uRWFoHJlHfvONuJeTQle1viY3
			sg8uHKPmRr98PekFTt7CzHcX6+TSULP7PqFVeFOB/iEr2BTbNJS3
			WKaMqeoZi8SJXGxHSV/fdnPDGAAQeIU1KRXMnosVeQOdrt/Tvg+8
			TXeRatnp/hgFC2XSaZ8imhppjp63da2mt9bk9i4dDF6gpXO6Hqpd
			zmCSvRLGSU626CpnJtnW/In0f4tCkO2e/KjSzsp0H1VYqBR+mWea
			zK9ybqjCxfqmLk2+8PAyAf/DHNiMsQpTzdIq7e7zI9v5uOW+yiBn
			QEfv4JkdR/TAsod/Fg+tPppbLFGM03xxOqQDH1o5Vz+Lysa6Jx/Z
			knxJm9MSSFBYbbDefHKWrLrsg9G9xioe1nyPvSRFRvTcfGZyPeAT
			meoIS59O5+lZ4XefkKajw3LJ4hxi0kEiE6eM3OmKNWBrqwrF3WPX
			Wj7UWCV7oK32CiN/32woJm3wLV4c1+fNUszc31GibSyahaEdXJfi
			a1NSZO/FbCQPOY1PpsPEi7mIJGlTMAzD6VPhjP4YT/gkS7R0CWPm
			wXNLFljKKh9uD8XV43gwS+kj+u6b5uIzJWcojQoMvFJN+zfW400j
			2N6H6QUI9ohnMPWeMCdMvHdN/xHlYhajuWzxcS0xCW82h1vetRcv
			v7HBLoJihRBqXCt2nolSEd+mt99vrjSOFuJhkgpvL6IYw5BrS5KX
			SfolscbQ79CMjtzg1/GGHT/r9yUTBONKYi8TTYzXqX8oxuP/IqDR
			NY7qum1jLQRn7RwV0NWmTFyKBSS51mV+jycCaDCcDEY0tP1hZcia
			6ynI/lL67mjJrPCtlDrxapxlc1NPuOhERKskh2ZFZ1hU+Bp519jL
			9ekJ3L5tUy8i17dpG1RxFLJxx0lj3oMYf3pHYKabeNYMVSzFeQEX
			7Gj9UenwlCvb1++sCer8/Yr5dBMtpr3izCJ3+kAndAg9t1q3ECC/
			SXmuz350xVDV4DZ3LTe0iIju5DOElU3/oiMGo0hsktLfg+6K5Chf
			0zp0mzp0SoDttieJhNhDGwVehFo87e04tBgRH/BNiKhjqX+1UG6f
			Nj9BIkHE2MwBaFYZOB19DYHYeI21ZIceGn2SfiX8m8QmvIhEUBjV
			N3a+0DEgXUfrH3fEZxVeru218LQwl7w339QTx+awmgP69Ofzq+PJ
			Yf3hjymPgQRUgzHoGKzbQJV0hnibheoL0+M5aVbSrw0OGWxVns+Q
			LqsfJRA8LhPtXCJOsZ9NxJlqLeIN5ar9iz8VU4sWdMio2skllGx4
			DznctIgOG1nJGrTQYqOGfutWkOSgK5X5hjhOzoVbreuwN/Fk0CBU
			PulPypHedvdcp2GWNjRN4jdKCs1wJkTU5xvxwOYT3zr5afqHM+7h
			XjWid4N+0OuyM65tJUoykGzmBLQt8+mtLrhrWqPil4NqImiJr7ux
			Wl9Ej5F3ZyRcH7gJmSWRsZKgZxWyg0Lp04iFFt8zXaR73dQ2b6qf
			r7pF6hbtzo2x8d9qUH/F9iluC3ta8PxufU590XrtTOBs8zaixMaU
			fXO9iGNg1Wjyicv1ejdnuX992A/Q87A8r09BK88IrgM+CSpWDQ95
			natvoYV/MAl6dMIBOL/U/CxgdP2OVWM1ZpC+j+aSzwhtUMpV8fq5
			HtXL1wQu5ajH7jaer+MlHNBMkYp+fknkZ+16PH5w7fn1FtGwdxax
			aBpVK4TOsjZnsvcslmmitWuJUGhtcbHCp5VOQpFpOgc2bMztrBqx
			90q55gqyI32XJ0JENoxdO7bp0kcJIT2pk93nAsUMd5D5byo3tZRx
			d9rGfOxRW1afL3OOasP9FwmwSd5YtvHLr85osufE1hL5aNqpg7ix
			dfv/lLLVGuaYf8uMCZyE8/UvvtccOi0uGRMJrDhivukEKbria+N0
			dY1lhgUv5mS09O+Tk0II+LOZu3HlHr4RZcD7U5o6d7Bmmvyjz/ea
			1IuLPYBIagUB9nZ1ArZrR42bz0tCp3N5pJleUcS8E4LrF42Vbalp
			kbRoGN+TqozsZIgzuo8RQqSIF9qyrc8bTPCkuJwScssfeepeckaN
			WjxVKhPw/ngtipw1BLvkFk1nEUHQJPWoNftWPEW4JMc4Ea+PRqy9
			0aiuJiZ0tPYb5apiiF7mU71DbRiMdw/xHlyXvstdrPEb3UZ2qOK0
			gYmecCO46oY2d0sa96WBne37Ftv5Wvnt9Iop0xZ7rEcOgorGhKpe
			OJq66Uke+3zJU66/3OmPk8afuPC5Cs4nhTxtoMm7wmiZFiijt0Df
			p5cnINoKKP3xlQL+4nJIZJPUGo7UqVRw6NcE/Tl/39DhCPxfLuL/
			ZT7w/ws8/Kr8vxfR1gkCdnOHO4PdXhP/BxdHkpYKZW5kc3RyZWFt
			CmVuZG9iagoyNSAwIG9iago2ODU4CmVuZG9iagoyMSAwIG9iago3
			MzUKZW5kb2JqCjIyIDAgb2JqCjYyNTAKZW5kb2JqCjIzIDAgb2Jq
			CjUzMgplbmRvYmoKMjYgMCBvYmoKPDwgL1R5cGUgL0ZvbnREZXNj
			cmlwdG9yIC9Bc2NlbnQgNzUwIC9DYXBIZWlnaHQgNjY3IC9EZXNj
			ZW50IC0yNTAgL0ZsYWdzIDk2Ci9Gb250QkJveCBbLTMxIC0yODEg
			MTIwMiA3ODFdIC9Gb250TmFtZSAvWENWU0xDK0NNTUk3IC9JdGFs
			aWNBbmdsZSAtMTQuMDM5OTkKL1N0ZW1WIDgxIC9NYXhXaWR0aCAx
			MjMzIC9TdGVtSCAzMiAvWEhlaWdodCA1MDAgL0ZvbnRGaWxlIDI0
			IDAgUiA+PgplbmRvYmoKMjcgMCBvYmoKWyA0MDQgXQplbmRvYmoK
			MTAgMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1YnR5cGUgL1R5cGUx
			IC9CYXNlRm9udCAvWENWU0xDK0NNTUk3IC9Gb250RGVzY3JpcHRv
			ciAyNiAwIFIKL1dpZHRocyAyNyAwIFIgL0ZpcnN0Q2hhciAxMDUg
			L0xhc3RDaGFyIDEwNSAvRW5jb2RpbmcgL01hY1JvbWFuRW5jb2Rp
			bmcgPj4KZW5kb2JqCjMxIDAgb2JqCjw8IC9MZW5ndGggMzIgMCBS
			IC9MZW5ndGgxIDI4IDAgUiAvTGVuZ3RoMiAyOSAwIFIgL0xlbmd0
			aDMgMzAgMCBSIC9GaWx0ZXIKL0ZsYXRlRGVjb2RlID4+CnN0cmVh
			bQp4Ae1UZzSc7brW++gkWozeGb1FBiM60UULg8EwBmOI3kUv0UOU
			RA+ihehdiBJllBA1okRvES0c+9t7n7XOd9b5df6cH+d913rX+9z1
			uu7rXg8Xm6obEm3k6w4TFRIVBskBn0JMDLUhAhAdA1EQ8M4CUgZw
			cUFQMCga7oZUgaJhckBRURExURGQDIALCHFz90XBHZ3QwHIxEEgc
			qOTujoDdWV3dvdAwlCBQA2knDIQi7YFwtCcQAbeDIT3dUJ6CQCgC
			AfwrzxOIgnnCUN4we2GAqCjQHm6HBtrCHOFIgMg/gGkgHdyAsv80
			23u5/9vlDUN53sEB8v4FkO+uBtTeDYnwBdrDHO4SvRAIXagrDMj7
			F4v/5oa6whG+/wr4F1Kgjps9DIX8e6gp7C9uvIZIqLuhkxv67364
			pyrcB2avB0fbOQEdoAhP2D8RGCPvqiHgSJiemyf8H4MDgv7mMHKC
			27kgYZ6e//LA7mb0NxZ39P8CKfJfJPmLoR4U/k/R/l333yIC70b4
			1wjuknWgaBTcB2gBuhPxTsu/3v/8tfpbt8dIOzd7ONIRKCYpBYSi
			UFDfuwTRu5Mk0F8UCL/j4wOE+dyxFBFGuqHvegDvFA4EOrihAP/Q
			RRQoYgdH2Xm5OiDuAu9cgP9ORlnZzQfoLyQmKQq8+9xVB4FkgbJS
			soH/ExRD9N3mQFH2/4ntri2JnRcKBUOi/1qUu6EB/nV2gN/tHQzm
			A7MDzM242clHOGflvELX3Mv/NKLytFW7OU+KyF3QJ4zD8d15stmL
			JLsLMUJ7EpfpeTa1GJrXGg9wCv1PXrjx2W/NJE8l5CM0n/VwGJ9T
			S3qGcoavuGTEbmlZA8vDCjZM7b0k6TMr4pEFipKWxsrHmbOF1bwV
			qduEHivTrp1Yv4de/7zK71nZrQHgTf86OdbK8jdytUVnMqoF7lP3
			qXJ0h7R9e0uFsvWm7PN0EJsogj/y9Xgt36fwS5wwuVhoVPvUuLKH
			5qy2r4Xzpe83KRwuk1CoMT+9k7CcFF5nb64pE2vSfWmLA2aOI6G0
			7rjDQvw/dDEnGUiqCujgXMla0ZfpnwYd0rbEvFc3M6Z87QmNVIxY
			JogU5CIg0qmd+rNkWMZ1TURbcZpNlBvDqdzHwIz4vkG1YMei+uCW
			ZgmUYJvn+1IJoKa1ptYeam+vfHxhUFasZvHrSYglojnk/YArjE6b
			av0lbRgN+YNoiGuy+8PKhaM042gsZRyrWuKaOs5NfakwPA6tFRrd
			ErO2p49Vz8opKzaHKTdUCLfAIY9F2dEvF+hleQJ9WcnDIaxxgpfJ
			Ll/f79ITApjCceosQsnBSoYwoRTYmXwBvtyxUoXBU3uKYePzM6WE
			isnvl5GZk3y44xJsKmK5q6bp7SO05YxrqUTHoAnL2uf7t88sHdcb
			DhZah/b95Tuvc21ZZiMZ1f2aZI8XqnMzw78Ivohk4cQtGCwq8NZW
			HrphI8crOWLEBhv8gEHIV/zks4efzTB7fA4VObISd10MFT/8SSv+
			ybtfTfmYK8My3+r9EizhKbVcjLRD4UEH/ArXUrvew2zmuq8pma0P
			h45jxzuq+orxlMgEjPf+3QQNa/51vD4FXDSJZQv5mbJ7+088bW76
			eM4U1dT3puDtMvljXxZhtrXh2HaLtRyz3aNN11oBvK9x5deaKl93
			Y73tEo/Ko4x/0VjSCuAd1tMrvM1BVaF1Z/1iY2jmZox2uTTKwV1H
			tnhT9xAsm8sgWia7apqjtm/SoSzgD6DJCXzKNFjD8HMHtCnfeG+M
			IV0akbV8ERlBhxUn2XOiwWSy4bt70aS42vhR42erm7rXc4JpD2ME
			He7L4dB5sQBVUcyp4mMqLWsgWZqKET83t5P5izdHW9PhT6SPt/ts
			M9eDXsmTVmfaQt+gCHvNXySp61OqNtqV48f3fSv9k8hbkp6f8I2K
			1OedJvpd022jt9ab3ojTgZVNCfOY3d5U3eUaTdzBeUGLmcDkAgJQ
			uJ0OL8Z9BLR3QZ/Lr84SokUSat85lHuWBMGYSwdIZXGyzDbQf7Iv
			1eqIvLFcZRvSeOphU2NinhwoWr/DCEJqUiz+SnIvlQjnuZpaR0ih
			/ZMqjkzrmL9OGn3nF1a4nlEJs9UnQuhKDTgiKGeHow6O0InCvDqR
			irzNyOudXuoWWV5G3i8Solc2voAGa2aYeafQsYlNbEfMBrfOgC+a
			ac8waBISaca1POp/r4pFChhhyb1UlkoyqyefX7jAwSZ6VNNq5L+C
			NWlAjBF5zrcs2RnyRcb20+mnAO3xb0LMtnUl7qFsFLwc+1d9w3Ar
			Lrb+OS1fbgY+Ehx2ksYBCWwVul90ApCVIeFHJ9JpKWVF7RoJ88mh
			JaNc2IzEKMXaC47Ocyx6PX3p5FBzm8hP7S8bWJjYXI9KwveaWtop
			uZPMrKfiKvQ8WieQKrAle5l+YlyHlnwh52rBJ9BUlD2ABPLC7NvN
			6ijMJLo1TJYaqkiLweG6HiXZlgdTHLaHLlyHUKk0+0iNnAxlj/fT
			tSlI+8xzP1ebJn1E6DeCpfU101P+zcUP/qoIjhRemrpbneuZd3yP
			NWmyyOemxYAal1JMfEFH75gHJz1dnuQs0Gsx/PnmYcbJgWt0gKOq
			YVpoZu1TX6d0kBKmLu904nfaKzP0ccYclxhH97Y4l4NhTHyQxNKn
			tZp0Fn9OJKDm+sKmdipiydazgdM358PAcnFeG3+Fru+DEjFPAYF7
			JOHiq60699svnfUekzTojaWwuSai+Dyk5kvcwqNk06uK3z+v3IUQ
			eyf6qKVCQCuZy4yaXTy0qjcCuAvC4Z/3P1SCYQodKTkkXWS3iXoz
			ASf4gK+oVBcacf+041QGBqpobFqC3hYfrrZNGdn7z4phbv5N2Olg
			LIT8L1aJirBkgsr0QHbR3qymL930b4i6hL7QPxCbcv4BYoRkse/O
			1cvtGIT0voxb5KaJTjnNLdBe3PGv/7AtojrF3qIHXnpONAAYoTrt
			kN1AMsbS17I4kyy/wl7EQi8HJfidYKxuVU7jLMkbPD+02bdsk9u8
			fNbH9MzoWqWJaQfUjpUFECZ02wvC8u4uPkNlja+N0ZTI7Y45FHqp
			G++yBASGcNCA39OdWGNnDmKe6e881agtuCnjtVRj2v9wf3AEULSk
			uXX6TRZye6neHaYunu9KNEujh/8B/0CxvwxQrNwdTlF5iFHjXo+b
			aBLUdJPpMovIe+ty4aQlEhR/Ucj1qCROpSgIpV9a8s5Wt/PZHEHd
			gY722yc8zXhsq4zti9ivTkOGCYAfvlMs0ffHzoNLKw2eVAyMmitL
			vSIz0Kn9WKEh1SelL9u0YIQejt9/wxZYOtfY8nP0UlKvs5OOOoAm
			gfLSe+Ey/B1w/OH7y5y3cs9kc5jFjQ6JeK/LleWTygQWjwvysGAY
			Pjr9MN4BUVYaV5Di9P1GmxoEpZhuOJTVkmscordqOW3znMmT0MOU
			bJKdbcw1PD4BdGWU7zT2luzhN7UHMzQxpR14AT0gnx3WryOkTn6F
			e5xZj3+MuLA4bOoESpJTkFRbxSo4L/V8ugCZP9nbtMXUzaoW17Gd
			8QHxLyQrXJmcvTdeCpChPDRGdq0wAwPSnuAo8VgqcZJTLZqe+w41
			YZYLh1ICFi/7SY2l9jYJYtNSXmCftx7neomuX3M1YIeTXpKKr3ml
			vzkbHzYlXqytq7DD7j5KCltV3zt+8WX4odizgaSv6zNE0CS5WpxX
			dVH+f2SVv2+6m9DiXENb/CTr5pnfTRVoRb3yiG0qZayvV+akB5df
			iSn7BJ/r7vr22qhPAdyFSMqam7WhVDoklRlgQmZJTxK73W5JV5el
			GtDuTucx42RgwUD6INeMfUBOJ7Ovz5GLu+YWbutSutz3T+vNsjQ8
			quNkeF30L+OuWB5gmT8m9qRF0ty87olzKdcjIV15g9zaOHwu5pWy
			Rs95c4KzmJw++4GYYcz4/Lwfd84M2kA6i8JjgLCe2Wt8yI3D8Eg6
			v4IPxFwodicHEuxclWdMAWC6iHpwTyYdK2TvRo3OurH0WXVTNMYq
			+9PHmSVwcYMzq9Hkz+5se7++IRettf2ZwTmAgSV7pCvehvnAcA5j
			c/hq5v1tLFWOTnJ+pvewMBeHoGdZ7athIgcfRc/Kes5TPfzUHpt2
			1I9o/URLBhiK6kvMsIL9LS6tSQr5X8vquxZDVwvKziz3qtXqhJNl
			j69T6SXN4/xKid5ZMHfTNFIcCzIemcbXprAyuwSvP3qH+/oihiAm
			rXm72KyczPuRZTT3S+ageQU78Ii92YJD9udnUjDxoPHg5gkS6Qq5
			z6Pb3F4xroUyrjeH1It7F2etzeYFLzV2rxScDzlOHtDtCPlpZqNI
			HALtPHqlegyh0P5HvNHftY6djAmquBWqbq0EuM4lJjhnH1Y9iyTy
			XkvTloPet8l9LTy0k1HCA2xRvTcSSRHqMRYh8ZOi6jTQlzzTcyci
			2rFXcsmXkJViYloB4n7b+vnzE3lrSR8n9/i18VGOxAwPu8sx/n2q
			34WaPGYWJF1Lmm3+24g5KN3Z3q6ssidB+rJzg+wc92KPyf763HO1
			OAf0zTzNVd+uN9vRK5pS7NNgqY9iasdGUzd2QFIl4lFRbnIj0d9w
			uh6IFG3JoNhrfS8KLpGJmlTn1Fciza1rt93fuJUXib4bhYB6uDU9
			ryVLKAYXuYksErjwC8tzCwjGBpIInRmCXB/+uRBp5PZS+0Tqe8rR
			eq3i0jNYWTOhQJN2KXThhRvBGCy4VOWuut89R0sJYGzPt6M7XsF3
			wpdQpaNk5oy6CWU3zFKKOrh/xvNyjBLcCzxQzsr58sHTQzOYv3LK
			kAlEuNbA/xTyKX/2ASgYikljjZIu0Kd+R+2i5+kecJQZlTB/mksC
			Kxwy5yWr2JRvMZIq0bvllU/wI3fONomPKFxEO04ZXUZe6fmlS/f3
			zFEpE243yJA8huTh5oaGJ/+QCGQStMzPvg4moxjO0v9U67/GKZWX
			gnNuTDco/gCSaN7DJ1PS52qRjdeqbEVnrMbvailF07SxbT7lFaTs
			jcnwMQ7uzlX5Sfqpi/M65LRrEocurGlKl+gLqNqcFWztA6bgkrjn
			aciDDiUTdFgwy8YfQrUYKwQXaClljzCq3jLzl0UY7IZ9xSf1KH1d
			qMxXnxTkJljGRnubB6hOFF6k3g/bPY7zwgBhPe1NnQ1gvmm1PjpH
			lrT6yoxXleunMH9x8fKm+bokEy9iUENcejZDOASQI5+gP/V8RQmW
			13fy4nnZSlby0y5lMfnwQbby7esZvh2S/kmbH1+jRrrvb+FLuXGz
			Yc5HXnM4D1PROiDmPEXDjHjGyfL8DRlpI81NyoF9HR/tTeX3tR/f
			EtuUjjW2T7vxz3ZxfFQJWDiDS+nm2Kn8ZFhQYdJfQqMDabNfOSZ0
			LUnhx4elDP0g67hWTfKZ5+gdU3fd6vpu1sRgDQUp5r+nGkyDk+l/
			4wiam1e3y4t64+09QhW8zn8WXFesZpKkUN5w1L/dUsL94YHFzMEK
			vfUhpjgUxVJHbBsdmVYCtcQwBopcfaBaDeJUHG1E/ab8OONoW4jI
			UzLjQ5vqLsYl4coovkhF5hRpO0+ai7AJJq2/PU/WTWizTZY5GREx
			yHbtkk5PqFt7NZQ9ncCgHLLTvNmfpZR7RgG/Et1QKDZp6B/epT94
			HfWW7qga5b6VrS5pJq4GCBAPcXljP0zIpnT1XCSEtzdE2NvyW/32
			NfYHicfrPxffmS4hISwL3RlT1Gp5jb2ARO7bxTpisr4GFswqjr/b
			5EaNnG/SWlH39ipeu6NoFZdNsxafaWs2ixNxsvCczxNcuq89ToDO
			sfL0RiGMtjtm/XsKcbf/x1EftaC87cCRP+UE0vPxsMtt4cBz5ZfO
			j9f8Kk3VWusYut7HBLrkp4LcYy1P9zNeIvI5HFdkDbACq6v9vshX
			OuI8VMeLkHEds6KNKFLBZSsgNRA+cZHvivm9ZH3WU4AnLtpcTu0G
			Xuh+nHFvrZelq+DjT0bmVZsjl5fFRA/tOn6sbyKMRGIrefEyqESe
			C9btCzQYcVhpjQq/L90yi8VTcD7j4hwA36T6opYkS+JV82QCeVcJ
			bJByY2U9TiIBswDy6opSSjXl4qs3mI/39uq7WQD3lgfGABm9V2mS
			l+93nUJP1ha0ABz7KAA2t3LNrZvFjPSFeurD1hm61MpdQsGB+kFf
			/XFPpu/NVbSngeLbxYJU6HfTFxX11/543tgM9DLejJ6HvOv+K5Sb
			asNpJBzhW2RTn1Tl3t8P+KVfNqX06vr7YApTKK03noTyw2lJN7Hs
			5eWb+7le4+zlMy3KlYW0z14GqZibxpGP+9FT5D7hBUt0s9Oql/+q
			CXdrGk8J+3aMidvMc3GIU8Jrv9TOsZyhZYuI2mgnlMICq224grU4
			k4t+Y1QGcR+vdae/sCGuiUGMT4KXaubbZJtvmQYj9ufpP0cgd/+A
			52xYTPo3HivAb8erF+rvq24dlMQUUGilQb381CPluVi3PhYRLucc
			PqoR7igk/4YP02lslbdYkMmpGGznnM16ja8mtPUlKLp27ynvsGfG
			rdkFX+WFOeSFIn+zSUJs1BoWZanACv40RMZjtJjhXhntuomf1XmL
			kyHbsTdQodCe0Zvh2nbdmOJVpDBChZ0FoGVhNm3KNdIUtgCwZcmc
			OkmsXzQhbOuJPhQFhK24cw8FUcincvdNg5fUCD6nymAFf9Wtgx3v
			aChqv8mJOO67IB1ibjpyXxrvO5fSaKYzFzpe04eshvgx2IIfBT1f
			37hi2m3qhq9lHpPKKo2cVBkfByufvwn3y2jTZL0MxHgcwqGqslpX
			uhsme1gh6UppVrONSLUAWyPNOLuuSrDX613DLgL87Biq/qkDw/hf
			PNzuuKWSuYzoXKPSobiRTvg9KSWaCWzb5AxJtobxBbka6bdx0ySy
			VUrTjB/DFpfezunn+ApxswbK8kf0pg4eDw7RA7oTUpeuaPM4zB1t
			8ssUdNbm7jNFmygwSt1MegNWT1R5kJ9ZCRonTMr9EPKQFwOJAgM2
			BstrQZt6PWB5tuhte4H6jHXzFvT4zzUShR4de+T6haFYqmnRfKMR
			/dF1d0iVoorMQpWsLO69DwVvGpfFgwCIDgvKjSA3HbHLbpZfS1sm
			stoqY1WEKxYLFSPkmb52OZ4Z0cHEMV6kjjINBDPI/W2iJ6Orf3g+
			W5CuirN7wM9RdB/BV0hBvbYki9SZntEjJFJ0NcShTZZV7QX12awE
			S4y1zkPU8HWQbX9XHn5I7wGVJMHoXIkPLjZEM17H69FRANGJa27P
			Wed9njYd8VSlz4OFBq9wPIWHKAKvxUAjy9t2axaxzuJtlOG2eSfG
			m9fyEsf4byPgg18uio/d5wxyKKd+uNaYYdv91jYSP0AzflGPCv8y
			das91aRD3ajdRuq79/jUDSd1EGZCvaeliMgoKEoSG6UjlfgQt3oG
			gkZPfD4CMca6jSE4qdMRsa7r6Ob1S+f03lMwiRdCIafwyH+b87J6
			OTl2nyDRaIlxj6Ci6oo+uvhPpB4ZP/lJnOpXbcazZkGnexfNGfDS
			FDKpLA2sdORVcpkAODFgseaJZUYxPsOyM8HUT+mHC/rSL5sWmVmZ
			+lqjKnYwcD4wxqN2jFItvL2Iwijm8sHtIW6EQsrlRuMtCe0SatcD
			3bEvRDKq6UaC7KgQe5DAxOibkhfdhol2lTS/VzD1WzI5MMAx47QH
			czHeTUfXdS/LMk/I0U65YX/T4cjP55BHsCtCD2PUtj0oiWtZZNZj
			kchVxqDOADxqr7KOmDNy+x05sGjXVfvlzaM5agEsHnb4TMeWcxf6
			nlNEoFd8BGK3ewFz+q4Cvs8x/bQkbxPt0qihnQYSEJk13d9kcBLB
			eBS4H/yRXtntqg6czESEsdz6XvjlpO5iv5jAxNIu6qz1286lpni5
			Ngc5ILlGZVA1RXRLxoxrmnbU4wE8979iHerLffDXhou9ONPPr15z
			7Ps+YJ95JcsgPUvr9KVmeB+h2C+ffRZZyumkjrs7dDU5ewPITnl6
			PIM2PAI0jB9irwXJhGe81sHeLQ/LuYln8mXD5FxPrAgtzFPrkg8+
			9Fsja9pwzXtq+jDR+9Y64zv/SNekf6H94DtnbIi/OCacnR9Ccvyj
			5I87YuXUZGepEoPdusjDeUHAEpD83d3mWy/HZ9bYkgF+zm8dBPqt
			Rvz06scc7MehGAENCnnrP7VqLFYjbLiZKD9laskooN+Gvj241mui
			x4/6aPhTdiOePW41HQN6j2N8EWd03wbHRDeu1N7vx5hxuMepge+b
			RDHNZvXOhlDj8x8FrmrVcrlfC845U0eRLhxPfwpvGfIo9hyg8M3g
			N/clTUqS3+nprje8/g3SlBVlfWFRuHxptKwv16o820WURb6rKXzO
			xTLQUpaODrWDVJlpk1cTRi6Y0LL1BP3EN6Vkkzd7Tmy4y++F31qP
			5wYRsdVoIn2t3Ialjo/tvukqdL5GP/Pe6eF4IFr9O81XQXPUTQB7
			JlI2oD5ZMYMTkiqqcXB9FBNMMIW8B+Jkmk4cqIvXufo4392QYwd7
			NEntax/HvjH8GJL+aan5ln+FKFaThX9CqQFbK1Wkf6fSgtmc6zPd
			6XcHk8VYKYeHVtzsBIon10+erb1hNzCcWjdwcWiTqRnJgH/FtO1l
			mmGkq6y8LiaqEqvG9oNSNrbeKXDWInAWebDqoxV7klxsRrxnQhzz
			4obETsbtGFF9Bhcx5IpEr3Em2FnNYE99sppGiOUkdsMBTElxUAmv
			CKzhB7tF5c+tyTavJXvBiGtL1tq6q5vm5SKIGymn51LnU7awq+8f
			B0PpJS4eH/ZZ9B8//9wjt4F0SL9MkF5WecuMPZH1RMzmyQ6Ac42T
			2oRWkYLsVM8Ha2PktjHznrdM4B66k7UGIdTicZF6AbGypw8O/M1x
			80w3gtbbMUGGwLNXCSqYMX0/8gR0qCY23oFZGbgwERoV6bzQtvvy
			ATdAo43+RT5sKIny27gaMeL5BLVywzDgqS0apSTED/pfPoD/ZT7o
			/wuA/i/MwA4Bg6LQbq5QlAvgPwB0Iix4CmVuZHN0cmVhbQplbmRv
			YmoKMzIgMCBvYmoKNjczMAplbmRvYmoKMjggMCBvYmoKNzIzCmVu
			ZG9iagoyOSAwIG9iago2MTM3CmVuZG9iagozMCAwIG9iago1MzIK
			ZW5kb2JqCjMzIDAgb2JqCjw8IC9UeXBlIC9Gb250RGVzY3JpcHRv
			ciAvQXNjZW50IDk2OSAvQ2FwSGVpZ2h0IDg2MSAvRGVzY2VudCAt
			MjUwIC9GbGFncyAzMgovRm9udEJCb3ggWy0yODIgLTI4MSAxMDQw
			IDEwMDBdIC9Gb250TmFtZSAvWENWU0xDK0NNUjEwIC9JdGFsaWNB
			bmdsZSAwIC9TdGVtVgo2OSAvTWF4V2lkdGggMTMyMiAvU3RlbUgg
			MzEgL1hIZWlnaHQgNjQ2IC9Gb250RmlsZSAzMSAwIFIgPj4KZW5k
			b2JqCjM0IDAgb2JqClsgNTAwIF0KZW5kb2JqCjggMCBvYmoKPDwg
			L1R5cGUgL0ZvbnQgL1N1YnR5cGUgL1R5cGUxIC9CYXNlRm9udCAv
			WENWU0xDK0NNUjEwIC9Gb250RGVzY3JpcHRvciAzMyAwIFIKL1dp
			ZHRocyAzNCAwIFIgL0ZpcnN0Q2hhciAyNDYgL0xhc3RDaGFyIDI0
			NiAvRW5jb2RpbmcgL01hY1JvbWFuRW5jb2RpbmcgPj4KZW5kb2Jq
			CjEgMCBvYmoKPDwgL0NyZWF0b3IgKExhVGVYaVQpIC9Qcm9kdWNl
			ciAoTWFjIE9TIFggMTAuNS41IFF1YXJ0eiBQREZDb250ZXh0KSAv
			Q3JlYXRpb25EYXRlCihEOjIwMDgxMTIxMTczOTA1WjAwJzAwJykg
			L01vZERhdGUgKEQ6MjAwODExMjExNzM5MDVaMDAnMDAnKSA+Pgpl
			bmRvYmoKb2JqCjw8Ci9FbmNvZGluZyAvTWFjUm9tYW5FbmNvZGlu
			ZwovUHJlYW1ibGUgKEVTYW5ub3BFU3NsYXNoZG9jdW1lbnRjbGFz
			c1sxMHB0XUVTbGVmdGJyYWNrYXJ0aWNsZUVTcmlnaHRicmFjawpF
			U3NsYXNodXNlcGFja2FnZUVTbGVmdGJyYWNrY29sb3JFU3JpZ2h0
			YnJhY2sgJXVzZWQgZm9yIGZvbnQgY29sb3IKRVNzbGFzaHVzZXBh
			Y2thZ2VFU2xlZnRicmFja2Ftc3N5bWJFU3JpZ2h0YnJhY2sgJW1h
			dGhzCkVTc2xhc2h1c2VwYWNrYWdlRVNsZWZ0YnJhY2thbXNtYXRo
			RVNyaWdodGJyYWNrICVtYXRocwpFU3NsYXNodXNlcGFja2FnZVt1
			dGY4XUVTbGVmdGJyYWNraW5wdXRlbmNFU3JpZ2h0YnJhY2sgJXVz
			ZWZ1bCB0byB0eXBlIGRpcmVjdGx5IGFjY2VudHVhdGVkIGNoYXJh
			Y3RlcnMKRVNhbm5vcGVuZCkKL0VzY2FwZWRQcmVhbWJsZSAoRVNh
			bm5vZXAlNUNkb2N1bWVudGNsYXNzJTVCMTBwdCU1RCU3QmFydGlj
			bGUlN0QlMEElNUN1c2VwYWNrYWdlJTdCY29sb3IlN0QlMjAlMjV1
			c2VkJTIwZm9yJTIwZm9udCUyMGNvbG9yJTBBJTVDdXNlcGFja2Fn
			ZSU3QmFtc3N5bWIlN0QlMjAlMjVtYXRocyUwQSU1Q3VzZXBhY2th
			Z2UlN0JhbXNtYXRoJTdEJTIwJTI1bWF0aHMlMEElNUN1c2VwYWNr
			YWdlJTVCdXRmOCU1RCU3QmlucHV0ZW5jJTdEJTIwJTI1dXNlZnVs
			JTIwdG8lMjB0eXBlJTIwZGlyZWN0bHklMjBhY2NlbnR1YXRlZCUy
			MGNoYXJhY3RlcnMlMEFFU2Fubm9lcGVuZCkKL1N1YmplY3QgKEVT
			YW5ub3RFU3NsYXNoaGF0RVNsZWZ0YnJhY2tyRVNyaWdodGJyYWNr
			X2lFU2Fubm90ZW5kKQovRXNjYXBlZFN1YmplY3QgKEVTYW5ub2Vz
			JTVDaGF0JTdCciU3RF9pRVNhbm5vZXNlbmQpCi9UeXBlIChFRXR5
			cGUwRUV0eXBlZW5kKQovQ29sb3IgKEVFY29sMC4wMDAwMDAgMC4w
			MDAwMDAgMC4wMDAwMDAgMS4wMDAwMDBFRWNvbGVuZCkKL0JLQ29s
			b3IgKEVFYmtjMS4wMDAwMDAgMS4wMDAwMDAgMS4wMDAwMDAgMS4w
			MDAwMDBFRWJrY2VuZCkKL1RpdGxlIChFRXRpdGxlRUV0aXRsZWVu
			ZCkKL01hZ25pZmljYXRpb24gKEVFbWFnMTguMDAwMDAwRUVtYWdl
			bmQpCi9CYXNlbGluZSAoRUViYXMyLjY5OTk3MEVFYmFzZW5kKQo+
			PgplbmRvYmoKeHJlZgowIDM1CjAwMDAwMDAwMDAgNjU1MzUgZiAK
			MDAwMDAyMzkzNCAwMDAwMCBuIAowMDAwMDAwMjc5IDAwMDAwIG4g
			CjAwMDAwMDE0NTUgMDAwMDAgbiAKMDAwMDAwMDAyMiAwMDAwMCBu
			IAowMDAwMDAwMjYwIDAwMDAwIG4gCjAwMDAwMDAzODEgMDAwMDAg
			biAKMDAwMDAwMTQxOSAwMDAwMCBuIAowMDAwMDIzNzY2IDAwMDAw
			IG4gCjAwMDAwMDg5MTIgMDAwMDAgbiAKMDAwMDAxNjQwNiAwMDAw
			MCBuIAowMDAwMDAwNTA0IDAwMDAwIG4gCjAwMDAwMDEzOTkgMDAw
			MDAgbiAKMDAwMDAwMTUzOCAwMDAwMCBuIAowMDAwMDA4NTg5IDAw
			MDAwIG4gCjAwMDAwMDg2MDkgMDAwMDAgbiAKMDAwMDAwODYzMCAw
			MDAwMCBuIAowMDAwMDAxNTg4IDAwMDAwIG4gCjAwMDAwMDg1Njgg
			MDAwMDAgbiAKMDAwMDAwODY1MCAwMDAwMCBuIAowMDAwMDA4ODg4
			IDAwMDAwIG4gCjAwMDAwMTYwODQgMDAwMDAgbiAKMDAwMDAxNjEw
			NCAwMDAwMCBuIAowMDAwMDE2MTI1IDAwMDAwIG4gCjAwMDAwMDkw
			ODEgMDAwMDAgbiAKMDAwMDAxNjA2MyAwMDAwMCBuIAowMDAwMDE2
			MTQ1IDAwMDAwIG4gCjAwMDAwMTYzODIgMDAwMDAgbiAKMDAwMDAy
			MzQ1MCAwMDAwMCBuIAowMDAwMDIzNDcwIDAwMDAwIG4gCjAwMDAw
			MjM0OTEgMDAwMDAgbiAKMDAwMDAxNjU3NSAwMDAwMCBuIAowMDAw
			MDIzNDI5IDAwMDAwIG4gCjAwMDAwMjM1MTEgMDAwMDAgbiAKMDAw
			MDAyMzc0MiAwMDAwMCBuIAp0cmFpbGVyCjw8IC9TaXplIDM1IC9S
			b290IDEzIDAgUiAvSW5mbyAxIDAgUiAvSUQgWyA8ODMyYTk4YTZi
			NzM3ZTczOTI0ZDcwMTdhMjI5MzU4MTk+Cjw4MzJhOThhNmI3Mzdl
			NzM5MjRkNzAxN2EyMjkzNTgxOT4gXSA+PgpzdGFydHhyZWYKMjUx
			OTAKJSVFT0bUDS0uLzAxMjNcTlNBdHRyaWJ1dGVzWE5TU3RyaW5n
			XxAPTlNBdHRyaWJ1dGVJbmZvgB2AB4AGgBtfEMpcZG9jdW1lbnRj
			bGFzc1sxMHB0XXthcnRpY2xlfQpcdXNlcGFja2FnZXtjb2xvcn0g
			JXVzZWQgZm9yIGZvbnQgY29sb3IKXHVzZXBhY2thZ2V7YW1zc3lt
			Yn0gJW1hdGhzClx1c2VwYWNrYWdle2Ftc21hdGh9ICVtYXRocwpc
			dXNlcGFja2FnZVt1dGY4XXtpbnB1dGVuY30gJXVzZWZ1bCB0byB0
			eXBlIGRpcmVjdGx5IGFjY2VudHVhdGVkIGNoYXJhY3RlcnMK0g0O
			NjeAGqI4OYAIgBbTDTsOPD1BV05TLmtleXOAFaM+P0CACYAKgAuj
			QkNEgAyAD4ARVk5TRm9udFdOU0NvbG9yXxAQTlNQYXJhZ3JhcGhT
			dHlsZdQNSUpLTE1OT1ZOU1NpemVWTlNOYW1lWE5TZkZsYWdzgA4j
			QCgAAAAAAACADRAQVk1vbmFjb9JSU1RFWCRjbGFzc2VzWiRjbGFz
			c25hbWWiRVVYTlNPYmplY3TTDVdYWVpbXE5TQ29sb3JTcGFjZVVO
			U1JHQoAQEAFMMC41IDAuNSAwLjUA0lJTXUaiRlXUXw1gYWJjZGVa
			TlNUYWJTdG9wc18QFE5TRGVmYXVsdFRhYkludGVydmFsW05TQWxp
			Z25tZW50gBKAFCNAPAAAAAAAABAE0g0OD2iAE6DSUlNqa6JrVVdO
			U0FycmF50lJTbUeiR1XSUlNvcKJwVVxOU0RpY3Rpb25hcnnTDTsO
			PHN3gBWjQD8+gAuACoAJo3gpQoAXgBmADNRfDWBhfGNkZYAYgBTS
			DQ4PgIAToNMNV4JZhIVXTlNXaGl0ZYAQEANCMADSUlOHiKOIa1Ve
			TlNNdXRhYmxlQXJyYXnSDYqLjFdOUy5kYXRhgBxJHQABAScAhQEB
			0lJTjo+jj5BVXU5TTXV0YWJsZURhdGFWTlNEYXRh0lJTkpOik1Vf
			EBJOU0F0dHJpYnV0ZWRTdHJpbmfTDS0uMDmXgB2AFoAfWVxoYXR7
			cn1fadINmpucV05TLnRpbWWAISNBra5TdeKDkNJSU56fop9VVk5T
			RGF0ZdJSU6GioqJVW0hpc3RvcnlJdGVtAAgAEQAaAB8AKQAyADcA
			OgA/AEEAUwB5AH8AhACLAJYAmACaAJwAtQC9AMcA0gDbAOAA6ADu
			APcBCQEOARQBFgEYASEBIwElAScBKQErATQBNgE4AToBQWcEZw1n
			GmcjZzVnN2c5ZztnPWgKaA9oEWgUaBZoGGgfaCdoKWgtaC9oMWgz
			aDdoOWg7aD1oRGhMaF9oaGhvaHZof2iBaIpojGiOaJVommijaK5o
			sWi6aMFozmjUaNZo2GjlaOpo7Wj2aQFpGGkkaSZpKGkxaTNpOGk6
			aTtpQGlDaUtpUGlTaVhpW2loaW9pcWl1aXdpeWl7aX9pgWmDaYVp
			jmmQaZJpl2mZaZppoWmpaatprWmwabVpuWnIac1p1WnXaeFp5mnq
			afhp/2oEagdqHGojaiVqJ2opajNqOGpAakJqS2pQalNqWmpfamIA
			AAAAAAACAQAAAAAAAACjAAAAAAAAAAAAAAAAAABqbg==
			</data>
			<key>bundleId</key>
			<string>fr.club.ktd.LaTeXiT</string>
			<key>refresh</key>
			<real>0.0</real>
			<key>serverAppName</key>
			<string>LaTeXiT</string>
			<key>serverName</key>
			<string>LaTeXiT</string>
			<key>version</key>
			<string>A</string>
		</dict>
	</array>
	<key>ImageList</key>
	<array>
		<string>image65.pdf</string>
		<string>image64.pdf</string>
		<string>image62.pdf</string>
		<string>image61.pdf</string>
	</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>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>2008-11-21 13:39:55 -0500</string>
	<key>Modifier</key>
	<string>Ray Zimmerman</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>36</string>
		</array>
		<key>NSLeftMargin</key>
		<array>
			<string>float</string>
			<string>36</string>
		</array>
		<key>NSOrientation</key>
		<array>
			<string>int</string>
			<string>1</string>
		</array>
		<key>NSPaperSize</key>
		<array>
			<string>size</string>
			<string>{792, 612}</string>
		</array>
		<key>NSPrintAllPages</key>
		<array>
			<string>int</string>
			<string>0</string>
		</array>
		<key>NSRightMargin</key>
		<array>
			<string>float</string>
			<string>36</string>
		</array>
		<key>NSTopMargin</key>
		<array>
			<string>float</string>
			<string>36</string>
		</array>
	</dict>
	<key>PrintOnePage</key>
	<false/>
	<key>ReadOnly</key>
	<string>NO</string>
	<key>RowAlign</key>
	<integer>0</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>CurrentSheet</key>
		<integer>0</integer>
		<key>ExpandedCanvases</key>
		<array/>
		<key>Frame</key>
		<string>{{1946, -368}, {1544, 1195}}</string>
		<key>ListView</key>
		<false/>
		<key>OutlineWidth</key>
		<integer>142</integer>
		<key>RightSidebar</key>
		<false/>
		<key>Sidebar</key>
		<true/>
		<key>SidebarWidth</key>
		<integer>138</integer>
		<key>VisibleRegion</key>
		<string>{{0.5, 4.5}, {696, 535.5}}</string>
		<key>Zoom</key>
		<real>2</real>
		<key>ZoomValues</key>
		<array>
			<array>
				<string>Canvas 1</string>
				<real>2</real>
				<real>8</real>
			</array>
		</array>
	</dict>
	<key>saveQuickLookFiles</key>
	<string>YES</string>
</dict>
</plist>
