20140306 12142100 FALSE 20140227 14214500 20140227 14214500 1.0 North American Profile of ISO19115 2003 sloAnnexations_SpatialJoin1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_California_V_FIPS_0405_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_California_V_FIPS_0405_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,6561666.666666666],PARAMETER[&quot;False_Northing&quot;,1640416.666666667],PARAMETER[&quot;Central_Meridian&quot;,-118.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.03333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,35.46666666666667],PARAMETER[&quot;Latitude_Of_Origin&quot;,33.5],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2874]],VERTCS[&quot;NAVD_1988&quot;,VDATUM[&quot;North_American_Vertical_Datum_1988&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,5703]]</WKT><XOrigin>-117608900</XOrigin><YOrigin>-91881400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2874</WKID><LatestWKID>2874</LatestWKID><VCSWKID>5703</VCSWKID><LatestVCSWKID>5703</LatestVCSWKID></ProjectedCoordinateSystem> ESRI ArcCatalog 9.3.0.1770 en REQUIRED: A brief narrative summary of the data set. REQUIRED: A summary of the intentions with which the data set was developed. REQUIRED: The name of an organization or individual that developed the data set. REQUIRED: The date when the data set is published or otherwise made available for release. Annexations vector digital data withheld REQUIRED: The basis on which the time period of content information is determined. REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. REQUIRED: The state of the data set. REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed. -120.724928 -120.617481 35.313013 35.232733 5748768.642596 5780097.291038 2282024.795996 2310422.404893 REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. REQUIRED: Common-use word or phrase used to describe the subject of the data set. REQUIRED: Restrictions and legal prerequisites for accessing the data set. REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Shapefile Esri ArcGIS 10.2.0.3348 sloAnnexations_SpatialJoin1 5748768.642596 5780097.291038 2310422.404893 2282024.795996 1 -120.724928 -120.617481 35.313013 35.232733 1 Annex Annexations in SLO en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20081211 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Downloadable Data 0.720 0.720 002 withheld Local Area Network 0.720 Shapefile File Geodatabase Feature Class Vector Simple FALSE 0 TRUE FALSE 0 sloAnnexations_SpatialJoin1 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. Join_Count Join_Count Integer 4 0 0 TARGET_FID TARGET_FID Integer 4 0 0 ANNEX_NAME ANNEX_NAME String 254 0 0 ANNEX_DATE ANNEX_DATE Double 8 0 0 ANNEX_DECA ANNEX_DECA Double 8 0 0 LAFCONum LAFCONum String 10 0 0 DocumentNum DocumentNum String 20 0 0 RecordedDate RecordedDate Date 8 0 0 AdoptedDate AdoptedDate Date 8 0 0 ApprovedDate ApprovedDate Date 8 0 0 hyperlink hyperlink String 100 0 0 ORIG_FID ORIG_FID Integer 4 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20140227 Dataset copied. withheld 20070803 11584400 Dataset moved. withheld 20070803 12003900 Dataset copied. withheld 20070803 14473000 Dataset copied. withheld 20071013 09140100 Dataset copied. withheld 20090512 10494700 GCS_North_American_1983_HARN NAD_1983_HARN_StatePlane_California_V_FIPS_0405_Feet coordinate pair survey feet 0.000000 0.000000 D_North_American_1983_HARN Geodetic Reference System 80 6378137.000000 298.257222 NAD_1983_HARN_StatePlane_California_V_FIPS_0405_Feet EPSG 8.1.1 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1oK+y SIL/AKx9yj/GrLxnYPmUgDkKcCmIRbHEmV3kZfrntTZ4syxqJNoZulR6B6jGRyjSoBt2+4/KpFYh Y2k5Vh64IokEijawxGOij+Kq8MTtbkM2csQMDt14pDLm5VhEqk7MZ69RWTbSSvLIVi3yyP06Ven3 Syr5aHaEPfiqto0kEsxwCSfl/Kk1cHbqTCOQzJFKgL9WHUYpW+RsIuz/AHR1oW623IlYN07DOTS+ a0g3rHkkcE9qmUbE3RCXf5lZB0IOe9Yt7bSW8wnQkr3H92t7DgkSKpLe9RvGsgaPbjPeosFylbYl XzABu24YD+KpF2xzeSB8svzBxyc4qJra4tFVEAPXGBUTXEsUgEiY7n2FILGjaqdOR1JJhK8gDv69 eK1LQyeWI5cMvVXHcVkQzLLCjHOGJwamsLl4LgwSPui/hbHQ1rGSGbasGUgjgcEGobnBhMY53YAH vTjIELFhgdajUMSZTwT09hVgLDbJbW5ETkZXg4HFZx064mm/eT20knd3tVzir6SCaPYwAIPIHapA E2ttGCG60XAjsrWa2BHnI0QHyosQTH5VbkyUwD1qijXUjuUliAz8gIOce9Tul2UDJJGHAOQRwTTA JGaDa+BtJwx/u1aVs1VkDqh3kMT1x3NPEghyG+7wB7UkDIb+2Elu425LelZazs5eFpG3oB8/eugY b1x2rD1GJYZ4GQfvC54HfjnNJgT28XKqR8pOTk5JqeRBFJmMFWx0HeqltOsbmSTAycAKO9W7p0MI fdg5+U+tAxVdQkjoeXOB7HvTQ6xuSfvHrjv70y1eOWN8jBGcgGpl2Tru7KQwOKYhFld5N4UgKnAJ 71LAjMFYu2cdKo/aRISORubaeORVqK4xnuOgxQBaHJIyMihiPu9jTA+QSByO5pkbGT+uaAG7E8ya PdhmxinlWiAB+ZDxj0qpGHku5JSw3DIAp0szs5U5VAvOO5pDJ1++eyngUkineWPTpj2qKKciBTJ8 uemf0o+0ny0eXjjLACmIkRR8+5Rg4/H1oDbeGQtjoQe1I1zEWB3AKRxTBO0hJ28Z4oGQR2v2ht8j sQpxtJ7ip2tPNnjlLHcKmghCb2BLbm3fjTRcN5jRpHgqPvE8CiwrjzG5LM4BAXimhQoXoML+ppwu CdqnhiOR6UxJBJc7Oyrk+xoAhnAaFggwo9OtNUIEQHAI9PWpTGB57KQASBzzmqxDojO0KMD0APWi 4WQ+SWNSBt+fsPWqdrDM7yln2RDoB1pJEnmjD7cSE4XP1rRWOSLL7lYY5BHT6VNrjKa22xmO8ggH 5mOSaTemN4Ytnjio72ZU37SQ7cevNMt2xACfvdCQKVkFiOS6la4UMoCj0NPYQTLhwRjk8dfSkn2K AzDg9Biodr+agUFnc5x6AVDWonZCGyeNVRJAVU5ODzVYTOJyXyqjqcdTWvbxbSQfmbOWc/yqne7F uBkdec9s1LQi0moFhGJASN2CTVhLiaJpd3zK5BHtWLGHMm8jnOT6YrZSRHtkI6MBg1ak7DKyXbrf yqcKWwRzUsFzKWnjJ3HIKkd6q3TLGwMgBH06VXQtaYnB3qfQ8jPepU9bMLnQWsi723d2JDVLHclH k3kbQRtP9Ky4pFdV8snYRkZ7kVZEq3EUQXdyeeK2THY05CAgYcikZFmjZGwVIqGCbbEFdgSMjA9j UkK4LvvBz2HamIbaPtRkJztOKfNbwzKAy98gjqKCqQ5faMMck+9Kp2tkDg9famwRkS2kkRlBYtGF J59qrkvKsOHwpAbrntW+VEsbKeQeKrWtjHCpCjoePQUrAVInS1AQ53Bcbcdaf5xjil3fd2dPSm38 OIZnJ3OR2HIqrb3K3EUiu67kXLH1FIYsMbSPubCqwzgHuK2IhHsCjkjrxWdBFJ5Me7AbHT0qRpyQ scZ2k9x0NAC3V86Xq28QHI5zT4d0cbb5CS54wvt2pltZkXAmfJbHzM39KW5uEaTERVmTnA5x7mmk xNoSzkIjYlOB90+1WFmJZVkRee47VXto2NqFSRSPVhnJqdJBs5AUknoKAGvKsUihgDjkd6rvcFiw Xbhzt5HOKjVg53Nu3I2Me1PZIlnCHKjAbd2B6f0pDI4vLMgbqOg9mB71o71XjJNVLcRC6kCH5Qct xxu9PrQ7yoxChcUCJFeGOUpG5jZTk7Tx+VWIlkkDo4Ujs68bvwrnY4JP7VecufKRecHqfT9a3LB2 xk855+lNO4PQsMqW/wAwxvbgGlijKqzscMeuKldQfn25ZaN4wPUmgCDy0RfugnqaVV3tvOCuPShg rynJO0/L+NQXN2qEohAHQZpNpbhew9m+beRhV4WoPNyMbAW2gBj1qt9pMu0b+S2CKsLhV3MOprNT 5noJO5QlhiRgz8nOQvvUXzy3QRBtTbjPvV8qjyksPmFJIAgDqv3TkirLK87JvRWBO1eAPWrVnaAM ZJkA3D1xgelMgjV52kc56Bfarq+Y83O0Rr0z1NNJEtalGaVEkaFV6DOOn41RmbzlcvgFeFIHerOo iNp2EKnzFTIYdGqwbKOS3RypDgA465NZuLCxjyNII1U4yeD6VctCEt0jc8jgH/CobuIeWScDBzVS S5RUQb/nSX7p4H1/KpQGvcKGgLsoIHP1rHk/0WcqhJhPAz/Dnt9K2BIPL2t36VkXqgXBCdM45rKq iWPeQrGxhPCAcAce9aFpceZYscjj5s4596xFnZJHQHK9j+HSp7KTYwIbMbnDDrzThUb0GmbIuyZp Y8DOQykeuOa0LPIgDOEV+5rHMRgQNEfnAHDDt6VN5sgmVk/i6rnrWylYDZRy2UlCsvqKkHQg9ex9 aoR3sQI3jYWOPpV1Tj73KjoRWidxjsHkg4oSTB2FSCehHeg8kelQqMXMkbE4Ybl56fSqEVLtWWOQ 5LM3HPQVUtbF47oyvHlSvIx3zx/n2rVuwfKBDfc5+tRwTmTKj+6STUjGyIzvkAgYxgcZp8NpDbRq WwSoPXuarXJMShC7sepGenvUkEW0Ayv1HTOaaV3oDstySUSvHvjbKnqlV2SGEfu1wVOR2zxzU5R4 /nZioLZyO3pUc7qVAV9w6EY70AFl5awbcFlLcMPf2pZGXzSQSdg5+tVXkeDylDbIySOadv2XICHc rLhvr2pDHlN/KEbi27Jp1wrzTskTAOR2PIXjnH5/nVaZzbzHzQWULmPaM49qksmliBd8ebJyf/rf pQImZEhWJEQbQcN3/H86jkt1kbccDPY8VIXSSNeygjJ/z9ac7F3JBPpQMja0KQhmX5s8gfWrEDKj bVXJGR19KmkbEIUv87CqcEMnklycyEmgC8k6krgHB/SpigbHbnJrFdpoCVkAAxuGO59Kmt9SaVcb sMOoNO4i5cpK/wBwrx0GayJLeUN8zOuT0NaQmLnnk+1I8rZKg5HoaidNS1uS1cz2tiqFlkbcKWKQ Ps3E4BHWrZjbyCzDI/lUEcQLB8YXripjHlKirCgAMSRyx4pxU/mKsLCz5bGMDjNSx2gABJyxHStL DKYC5VAPpinMpnJ5w2NoUfzpZgsL784AP5U2G4D3DPChYBc575PWgCB/OiuSos3YINoYEfMKvRTS OjZtniKgAbiOaSG6SdSQcMDtKng5qaQ5jDFgopiKstnE8TrgEsD+dYjwx+fGZsKUcZJHB7YraW68 y48oqCQucr6+lV9QthJGX25YdR0z9KljKtxHsbIOF7nFU9huVdweMZXPU+9W7OQTwNBKAzRtjPqp pWVoJMKoCjuBWUlckxWcIVDgDuD6H3qEB473Zb7vnIP0qxdoRMwIwrchueKgk3mJUjyZCQQc1ypu LJ2NtLlndonYKUxnPenyqFLMhZWA4IrJuUDRrMmfMGMj1q1b6iBFtlO5wvGepraM77jTLzOLmArx kAEmr9pfgBYZBwRwx71gxXXmSNj5Sfve9XYn/dK7FdobgE1cJ32Hc6MfKowfrUMykFZucx9QO4ql BdtMmxCVXpvPatJI1SERjlcYye9dKYtyK5QzQMVHBXjFRWsXk5z/ABgcemKtR7Y4xGo2gDimPG3U AnjFJlGbcqwkkmyBg7Rx70RPkBmOPeprtRsVFUZZuVzUUytHAjBxGGOPmXrW1GVnYxrRurk4vIjK E3bj2Of0qvezPHGHCgOu1gMcZ/yaiVgZNvnwj3xU+4y7VOJDGT90daUqa7jhUb6EU8ZmmgVz8o+b AqR48zjapA3ZzjvUnEarJt3EDj2pYm2Mzs4JPO30NQoSvZFucbXZH5ebpkc5ySQaWUSKiKn+sbgn 0H/6qnTKjc5AHqeoqYCJgu0ll5y2ODScWNSTK8oWIhQ4JxyD3PrUqLGy7gzc88CnmJWlZ2XOelSr 0/d4xSGZ+W+3DOTGRt+h9a0iuIjjP0Hc1EsRA5xkH73rU2cqPShAylcWvmRCNenVvase4i+zy74G O1O4OSK6Qx7i3PBFVHghZiqgBsZzik0NFexlN4uMYYdfSluhJCDlT9RzTLeCW3uQVXCE9B2rRlZZ oyA1AGRa6lvkZcgOpwQKuPcRgbmjJOM/KcVRfT0imEoBUsfmz1NTPDLbcMu5PTPSlqBpRzrNEGCn 6ZqQNviZsHPbNZVndAs0cYO5Rjmmpfv54VshAONoz3rSMXJXQ1FvYV7e9uWcJcQlN2cMmSKW1S5t bp/OKOm3qiYx+tWI7qIyEoCrsehHWp/MwMnBXvmhwYOLT1Mxpo2viIEJzguemTUtu8wffKc7CRjP arQ8lSdioGNZu2W2uJLhpMxkfdWpaaEX4rdUmE7Lzz04xTJnfzCWIaMjAB6A1KtyFgEoO+N/u1TE zRS7XBKDnHoDxSAi+zmPUklTBV1wfTrU9667ApwSewFNso2a9uDtIiQYQZ6Z5qW6jDAKvJHJOKUl oJmJdokttkKN6ngk8CszzN5RmUAY+XPXg1uSW7HzFcEjFZN3EpQEYDoMg+1clWLWpLRCC88iqVAU P+GPWrUyKblUXDKR+VUUV5troNmw5HvVhJfMncq4V8bcenvWRJHsdUaSHdsGcj1Fa1ky3MAOfu8Y xnHpVGXalqSm4Kuf+BGr9onkWyTKMb8ZrSno7jQ6K4fGJBtZTjnrVi2vp4tynLKuCMVRnLTSHHzD OahErtkFioDZNNVLMaZ10NxHcICh59PSpwccE8VzDXf2dhsLb2xita11FJgqjqOGFdUKiegy2YY4 mZz8zdRntUEzGSNpI1JZRgA1adEkUg9P51VmVh0Hy9hVjKjyXBxKSmAuNoHNVPOaCeLztxZs4IOM VqbBtK7uvX3qG4s0uYsg4kTIB9SaE2ncGrqwwz+W2AN0bDll5xSrm5uQ6cJnkZ4qhA8tvcQxtkxt x171oRWkgKzRnbjkjNNzlLcUYRjsTGXLbHUEElefTtURzbsYG+YMcjPYev8AOrMX7zLSgZ/nUFwu zzJ1J3pgY9Rn/wCvUlFqLCoFySGP481KvyjHNULdnEjTSkBOg5qyrtINyltvbNMQrT3McSmSDec8 +Wfb/GnQ3Uc7GMZVx/Cw5piXZaVk2YIOBk9e9OSdHAkAHJ25ouFizkFSKTy15OBk00Orcd6eOPcU wKbiWJgy5x6HvUNvKwuCigFCSWz2PpWg6hxndVHyPL3OpwSc/WkBc8tWcMRUd1GzxEA//XotpxIc Hhscg1YbnA9TTAxXRdPt2K8zNyx9Ky4bv99sKHO0nOeDzXSTWm9uPu9xVR9PRiwRAD04FFOc4PQu nNwd0UEkO/cynqCMN05q/M7XUH7lQPMO07ug9apRWjiL95EMbyCqrkj68U8G2jzzGmeoPFOtW97Y 6ZOnX1i9UZ+USZ1kECurkNktn8K0re0dYWfbHsdeChP9aj3WoLfvkw3JG8Yp0U6Qghb35T2ZwcfT NZe0v0Zm6D6NDtOYCY20y9DlRU91GxukfbtQMMk981n+dBBdrN5hk5yWUg7T+Fac0kV5GqvcEDd/ CNv5046oxknF2Ylnk/ajwQZfvDjIAFT71KsRgKOnqafsQwiGIKFHUClCrFGEKnFUTcy5o2dCyNtO eSTzisS/tTGzMOI+/sa6O4XzVYREKOjEdqzJ1DhonACEYHPLVlVjdA9UZi7GijbO1j05qlKm+5JH yNnAwatAG3kMMoyCchsdaJ0+QyRKRIOgz1rmskrtGfkNSYsRESCR/OrU12VlgjjyYwMFPxxWaiYz ISzMOWz1FS20wk3FgPNHAz6VKk1sPY0VeIsX8zHYAU5oop8lThvUd6zgWZplHToPrVqOX7NbyPwS Tn8fSkIkkR4Nzt85x+VSh/JtU8vmSRgSf60Q/vkDcHIORSqoJA242tx7U02tUFzWsL5GTYxPy4Hz davy/vEyhBI7VyZlY3jLDwqNkn1NdHFcIoLLjLD1zXXTqJrUu4uHBO5eoxj3pFV2ucgcICKVZUnD Bsq46ZoRF2PhguB2PNaFFMwPLPheArHGa0fPR7XCkbuM88ZqrJPtg3ISz8ZwOtFtAxkkkdNqOAMe vvQgZe4WM9CccVWuJliXLDc7/KF7Y5q1HbrHF8vOBxk1WlSOaF2X5myAPqO1MRDBZvyzMApO4KOl aEcK7BkEe2aprKyQozL198bak/tC3wP3q8e9GwbjZdsb7sDCgkqB0461Xtwv2UxRyjdu3YFBndoU eUhQSckDrTAYiyyhlGTtGDikMljncz8kHtt6GrUN2rsVJIIOMGq0iLLJu+43ZhzUTJsQs4OQwOR6 DkUAa4YMAQetQz+cOYkV1xyucGqNvcshETc4I5q0txg7hkrTuIaJIjLtB8uVf73celXR+tQMIbjK ugb61A/n27NKjGROuw9R9KYMvn0owEBbvTI33IHAOCM89aeARkk5HagDIu7oIxkeEFehYGs3zIpJ GMQIUADk5rYu7aK43DaMnjNY32f7LPJFknoc1vhNahMrcrHUUUV6hiSQRJNKyOMkrxUd0rWzqrkn ccjb39c1NaPsmfH3iBj9aszGGaIxzA724AHBH0rycT/FZ0Q+FFeC/MNuqytuB5Dd8ZrTidHYyM5Z VHAPT61j3FiWdCpBiHQDqfan28kkUrIAdo6qelYXGbggViHUY+lZd9CqOzEc56noKtQ3Ql+7lG7g CpZUieMtMSOO5pSV0I5ueMT4LcAD5WI6mqK5jjBxlcEE1szQGS4bnCAYHtmq7wJcKlvAoVEfkk9A KxlTb1QnG5k3mWSJ1Ax3qNRiYKuWc44xgD3rbmtoI4nKjPBJB6Vjsn2VHI55AJ9DWMouLsybW0ZL GyOpIHPfH88UGTzFEjLgKcKfU1DalUlAOQh6k1fFqkssOTiNOTzx7VXs3LVAkyvBK1vdyR7uGJ2k 1oI/KAbthzkiqF3EHld4xhVwFb19adZ32NqueCOPf3qOW14vcT0ZMoeCd+Mx+o7Vo2LxlCEbkHOD VaRmjTCjJboaYkKqu7G1+oZeMUQdpDRplgJlBfKt2NQ2t2xlkiGCmSAx5qGGXz49rkZH8XSnPbpG wWJ8MQOK6E+xRKJ3hmMgXcp5JParX9phRv25GM5xxVG4IS2+Xg9Cp6iltp1aMRuuCRgg/wAqfMwL kupssRkjXcMZGD1ppvVEAlQjDEHb6nvVKZXt4yYQcAklfT6U8PHFEQIyQvI4696OZgWjfhXQSRgl QCc4qu5Nw7SbV5NQ8faGfPyMNp3evWqwlfnB3c9cUczA2baIfY/L37lyfve9QhVjjNvGnyj5ssM/ lVyWJZI3FuwDADIHQ1FasfPwRwo5HvWpQ+0KBRvbYH42t6024DrhgQVXK4J65p0cJmv2c52R8KPf 1qu++czDrhsjH8OP60AOUhsBwykEE+9OS6Te0SOu4c8+lRq53AP98Y4559aI7OKLe2Axk9OooAsr JkA79r9/Q1bSTue/HFZnlDlNx3ZxkdRUyq8Zykhx6NzWsKcpK6BK5M+oxPN5Eb4bu39BUkVwJJPI lcKe2P4qxZbWafUDzGN3zEoeVHrinXMb27DJLbujHrn3orU0rRg9WZ01GVfklO2mx0hjUptxgdsd qwNSwl8VJUHaOnfrVqy1KZ4fKEZmlHRsgDHvVG+tJZ3kJXI2lpGJx0/r/hU4dOhUfP0NVRbbi2Q7 l/vD86Ny/wB4fnVa1RJQ3K5wOOKl85VlKllwuMqcCvVlOa2S+/8A4Bn7CfQtWuDK+D/COlWY1ViU kU5YnD55PeqqTrHv+RU/ujk5/IVegs0nXbcbQxO4YGcj8RXj1nJ123pf8TolKEKahuxgjnSTcnyK O3tSSXYGQ8J5ONw6n3rV+zoqKv8Ad6VA9qhUMABk07GNzLS6MKl4nDNnJBHar8ciX0BYEqwXkY6U fYN5bhQnaqNys1q2+PPyjBX1FIZPJCzxNKmNhJL/AFqK0sS9uzKOWO7rjimWtyI7BVzuWVzj8auz AFFRZdnABI6/SgDPuVDIysPmAOQT6d6zzBGYJZCd25N2PQAda3GgiVRE7Db1x3/E1mTgi4aEcI/H +97VEocwmZ62xRlbaNgQMv8Asnvmm7W3KysBvOWbPA9q07mKK4tHjiyrL82PTHbPeqCRRrGilAzt 0U9qEraDQE+cpGQpQdB0PvWVJxbQpFy4fn61olSLhYlOWI+ZV42impbeTMzkElvujgZPf8elYVIX d0RInMzoV7jofyp/2xZkCY2sQDntVKQT7d8iMgBOAR+tNeMpaLEvDHnOeSaxbd9SbF23k3zMO4JP XipUMjy+aTnAwD7etZlqzNMhxkKMSe1X3nTAeNTkYGPUZouBcJWYKHIBXkOKiWOQshIBHdl7tUEN 7HM0gH3E4xjr71LG5RPlIU9gKuNR9R3LMc7HKuOV9amOx7VmVsKOSB/Ko0kdVJcBj2OOlRvNBJjD KjEE8nGf85rVTTHcY6zXS7FUKgOapyyyJKyIp2rxVyW4kjcoCowBg561WS4R13Sod3tQ2kM6KNRZ wxxkbnxy3PJxyaYkiR2scsgzI/A2jrUVs5aXbLvwVIXK9Dz1/Ci7VlsoguPl+XJroKLkCrtBWRlb HRuaz0klZzB/qy3pUtkRJbqCd+DhsmpgkTltjAHI7dPSgBbNIjI6EAk8BiM5qOe0Nszsh+QjscEU iFYGk+b7p9KuFnaMY5yeM84oAzbaTzyTIdrj7pA+9+FE94YowNhEpH3T2qaWFYpkkLZLEZFJfxKY QoUzSLgqB1PPStqNXkfvbA27aFG0tri5lLxuy/3pM/5zVu7jgdliDl2/iJPcUTTTSRGGOF4FHYYy RVeOMpdJHtOXPAPYVNSq6k1NqyXQypwSlzSRaidYt8oGWYbGAHT3qkAZmcMzojE4IHGR09uPetmN A8uWxlBtYEdfQ1nX8sXnt5Sc4Kllxg561i5OUrNnZStFXSKYs41mJhdGwByF4zz6GrGzy4+V4A64 q7oiOkRDvk4AIz1NaF1KiRFXYLuBAzTfNNJN7Gjr+zk0kc++x7TepxKrYDKe1Xbe6t1gRTIsbL2L cg1UeyhFwnnTqQeCsec/U0j27pMYlG85wMVpGjTqrlk7Pdf5HPWjCpJK9vM2ItRtpmVDNHvPGM9T VpzwuOe1c29rc5UeSwGcEkV0UXyxoO4GKupCMHaLuTKKjonck4GB+dQzW4fkgc/oKmVecmiQ8Y7m syTDS0ZLmVRHlV+YD0PtUturCQ7oQO+cda01QqSCctjqaooZkuMMAsQ5J9aT8gXmLlUZlmGRngjv WY6i6uxOikrG+AcmrOqxtKm2M4II5AwaTTYykeM/ebt24wf1zS6g1oSToSpPRRyx9vaqksf2oCRI gkgJ2seOPetBWBuWhYljjcDVK9lZH2seSOAB/OhjMOVJLSW4lw3mbeWI6n2q9C0d9p6xyY3q2N3c d6vzCGS2jLndnjaO9ZHlmN/LgYBB83zdhmsZaMTI5pTDIIZkOwr29ajuot8CyROZMfNkCnzSGe43 TqRsX5c/zqnbO8WWVto4wp/i96iUU9xNFpNsUJIUFduTxjJqN2M1oWXKoV3Mf5gVJK8En7uTMY29 QOKdMu2JUQfKxC8elYyi0TYqWnzSN5fyJt6dz71fjkJPBGR2I71Qt08vUJ1z1XgVLOzJESmA54zU iLbagruU5JHXFLHJFM20oMgYBYdB0qnbQNDCX4aXqasNN0V8AtnA9aeqAnMabjhAQpyTgdetA77W CjPTbWdbSyneu/52IyT+tWROJSxyQA2Bii9wL0WozJsilZtzchm6GhruWWCQRtkBjxjioplBleRz gJkABuTz/wDWqJEZJmY5QLkhB3/xrrTb3NEWYbqMKHDNDMONvY/Wta1uS1uJAgZ+dwXoPcVgeYpj Xz4wN2eBz6cmpI1Uqr28u10yMqep9KtOw7GvbkTL5TkgmQ53ewzViafd8sI3BGAJFZMl5dRrsm2n ZIcHb1FWrU+aI4IWVcMXlXPTP1qgLtzF0BG4kcf/AK6oxxSKd8krlhnB9M1du3byP3and1FJZyR3 sUm1sEDDZ7UAVXiaSPb521UHOetIWWSSCSPjYep7ip1VQBnDFhjg9vWnrbqkaIpBBbGT2osBPDCs 7tINwU55zVP+zpY2Kqquucgk4rTjZ4w0b/dA+U47VICr4zgChxTVi4VZQd0ULO1miuQ7qqgA96vy BWTopb/aFP68frS5z70JJKyJnNzfMzCeNjKwIUEf7YrRsFTyfmUb+pJ5J/GrLQQk7jGpP0pkxSCI yBQSvQCnYkkKjG4UpI6d/wCVV7e5a4jYlNvIAqxsA6/jTAUZPTrUSSbp2jP315OKkHB4pMASbscm gBWyCGPTFU7tfNTh8E9qszklSg5Y1RnCiNy4AZemDzSAikh8tCWO5iNoHWnhfKtkWLAk/iNPiDeQ hdTvfpVadHVm9VUsPY+9IZJGoLh0yz42knpVO/k3kxqv7wNnJPardtIzWysg2Y/Q+lU2jeK88xuc jByKAKEcoLGSTcGQ7dvpT4rWO4QHBOWJHOM+lS3sKJhkKserHHB571UkaSKaOVc+WRgr6e9YvcTI blH2t8pynJz3HpUexJgu0DcQWBFaTOl0uDwM8EelUpI/s1yNufLI5YjgUgKG91LJId8JHJxyK0LO KVLYqykpGdqse4yajcGNzcJHuTOGRhwR61poga3aYfclO5FHRRxVcmgNGZ5AF75ikHcDkD0qO4yZ EReFUEnI9qVGYXgfpluFBz1PerVxGY7g7kHzIcEHNc8422JaKonlNvHsXkgZPpSRgtO08hHTA9qt QwCOMKx6jcSO1JNG8rKAAQjBs1DJM60UteTDBAGc+vWrqusY2qpUDtio7eNkmuZXB3M+APalgj8+ MyMuCzHuaQFmPMl25bC7Dgn1Aq5K6lmhaPeMdBz1pLYiS7vJGIC7wFXHXjNEqqWYuBkqc+wx/jXc lY1SGNbJJkxko2cgP6VRZpba8GFClFBOON+fT2rQ8uSS2iXdiZV4P880x1FzAszpksuCD2b2/Whr sDIUmZ5m3kYkJypHUj/9VOVXWXzbZtzjr83OPr1pUiSNmkQlti8KfftURVoJjcwEkgjIHoelNXW4 LVGpFczFhJn5GTgfnUKyiyumA+WCXC5A6H/Jp8V1DJCLdV8uZXzhu/0qWaItLiQcL0Hv/wDW/rVA LMFjhaW3bnA+hFWLNiwUscKOSay7MgRPC+QXTgHpnGavWiTLZQBGwCOc0IDQOoROuCSMg8mqs2oC KREicbdpzuHBp8UKCUbwj9sgCq99DFK8qpEFdcBcUXCxr7fNjVwxwRnAGKghEsbSAyEoPuk8ke1V YfPt7LAlIZfmVT1x71YW4Yl43xz0Ze9O4rFtGZ0DMfrilZeODx3qAz+XFkKdgXPSlecFSqEe/tQ3 oA9ZDnDEle1TEbm9qqxqSKshgqDccdqIgKf0FJnk45NGcjPahiPQnPGRTEQuQi/LyT39aiMYYrlM uB948VPsxlj34AFNz85z90DmkMhZmYnjaiDK/X1qGYRi3ZsMc/fx1NXmQyL2x6VWfKnJUKf4j/hQ xoiQRrKGyBG64ABqvdBZJRtYhVPJxTrNFMzrjJU5H0NSyRGH92RgMc7qQHO3LuzvFG3I+9npT5rK cMN0rDhfTHrx+VW5LJsKQfnLAnjsPWh71pIJE2KkykDbjrzxUcqCxXSMowhjdSx5U5zUzQu8RJ24 LYPtVcw7LtZY96yYwc9vpTvtkgyrq3lkkkj+tHKgsLPbG0bzEJKsOg6A1Z3SQWqpgLGqDKHn60to TcPlz5kQ5Q/WrOorA8AUNkNwR/dGM/0rVxtHXqQnzS06GK1sbq3BBwQcqcd6vi3aW3S5kXDIvIPS jS432M7ghD1X3FX3m85WjdMpwNy81nyK2pWhRl06SYDC44xkenrThpkwG5ipGeRzmtKKX5ZC4+Ve QR6VGJ5XjD7MxkbsjqKn2ML3Fymc1jgiPeWdiZHGMYFOisoUhQbn5XOBV7ypDch1JIJ2t649f1qc 2wGARngY4pqlHsFkjOm8q2PljgnMmfbP+RUWn2P20yzStwT8oPerYtfOm86bHIwo9R15qzKVSHZG AJPRen19q0sPUyo8Pc3YxiMALn8OcVChe3j2Mu7yiSno3UDP61ZW2dbllYcE85HX3qR4yyur52Nk BkGcDrUlGPCJAZo3O12G7b/OrJ4juNoIQbQDjvT5bd45laVhtOAGUZ/Gr8MawrIHYFVfJ754o6C6 mfcR+Z5IkwGkPBHVTir0Ej3ljGwQtJGxR2z0xSm38+QyvH8u4YI4K1ds7BbXcI2OXfe2aaBmctu6 PsIKsTuXHarwjzZjnBJOcVPMAVYg/NmpvJH2URjr7U0hXMtZTG5QJux/Op5UXy2mH3sZJH86lliS KNhh8E5YqMmqsYK/Nv3RggcdT2AxSGSRvi1hOQXHBJ7VOgWQLgDcPWs4XE7W6CRh8zbSCPbH86SJ yD8pYNtypBoA2IgfI+fscCm3Fl5m54vkfg5HfFJC0s0cTP8AdAy2O5qZ5wFJIOew9aYiibtoD83X IGO/vVto4r232McqTng1WuLdSEmxnIw30qS2i8okp9xug96EDJbazhtMmPcC3HLE1YAHrUW+REZp NuR0AqNbghkSRGXI/AUATHLAHvSeWGyO3U0OxyABjHSn8bcetMBhJA47ConCzNsbnGDmpXyF9fYd 6iwVG7GD1J+tFgKjiRdSDLgJsw2P0pJpQ2QRuw2FqYuy3BYn5GAUgjoarXUSRhSMqRkZ9CakY2Mv 5bknJJx9Kp6hYeVZ7w3zJ8+7375rVjiSKPczDc3IqFZRcIyBS5H5H3oAwIpmjCmUMNwO3Pp61chM GcoC+eoqbyvP85LhvmBKqqgVnwF7JokTc6uflB6g96SWuoN6aGlDZiKGSNScMxYD+lRxBpr5kwNi jaRVmec20BlCkn7qgf3u1VYoZElN1PJtAycY9fWuicU5pLZHPCTUG3uy+IDJH5SHAHNVV3QThgCM naV9fetS0xs3qwIPfHSmzQpKu44Ut15qa1ub3S6PNye8RQhXDRH5Q2Rx61Ys4ykRR1PynAzVPb5c zAnLLWmhJRDkHgZrJGrKv26BJtrgx54DkcGptjNgg5B6EGkkEDym3ZVO4fdIqk1rqNqxjtJAYeoD nke1MRaO1VM3GCnyj0H+cVXgjMsvnzKApHGRnmiikMCFeW6DNtTgYFRyt5fyq5JQZAPcetFFABNt ZIJAmQ5wVqSeJCUVMKQdxGOtFFTJk3GLcMsZJi5zg/N2qzHeCQLsKofRuc/jRRTTKWqHudzqSoDB gMD0zVnfzsGc46iiirEiuhIO4yEMDhgehqvdOvmxlfubirgeuM5ooqRkr26FYigBBcsD7Gg2gKKA MFSTkdRRRTEXVVlABbgiq4y8csjcgcjt0oooAiWdgoQ4LkZUHjIqQzxRMoZ1Uds0UUIGTZWUYDgn qtRsHLqgGVB+Yk0UUAh+Dsx6EU453HnGO3Y0UUANM0e8IxwxpWCseuR7UUUxELqJIc9Mcr7VDPGZ M5CnzRjJ6A0UUigjheGEDJMijBPXNJH+6aQsoz1P0oooAzp1e6vV8ocmrJ07yynmMOG3Z7iiiku4 n2IJRG0h+cnHomeOtF7IIrN8gOFXLccntRRW05tx9TGnBKXoV9KnmRfKOTEc4b9avTs8gD+d5aDn hec+n0ooqL3irmlrSdiS2gJ3OxDBgBkHrV0L+7eJgdrDhqKKJRUXZChJyV2V7gZSG45Dpxk889K0 FYOoYjqKKKlFs//Z