20230620 09534100 1.0 FALSE COH_PW_Zones 002 file://\\cohnc-cp-ad-01\Shares\GISDATA\Planning_Dept\Planning_GIS_Projects\City_Limits_ETJ_Zoning\CL_ETJ_Zoning.gdb Local Area Network Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_North_Carolina_FIPS_3200_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/10.8'><WKT>PROJCS[&quot;NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&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;,2000000.002616666],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-79.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.33333333333334],PARAMETER[&quot;Standard_Parallel_2&quot;,36.16666666666666],PARAMETER[&quot;Latitude_Of_Origin&quot;,33.75],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2264]]</WKT><XOrigin>-121841900</XOrigin><YOrigin>-93659000</YOrigin><XYScale>3048.0060960121914</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102719</WKID><LatestWKID>2264</LatestWKID></ProjectedCoordinateSystem> Union "Annex_Poly #;COH_PW_Zones_10132022 #" Z:\Planning_Dept\Planning_GIS_Projects\City_Limits_ETJ_Zoning\CL_ETJ_Zoning_2020.gdb\COH_PW_Zones_10142022 ALL # GAPS 20230323 13483100 20230323 13483100 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.0.12790 COH_PW_Zones_2023 a a File Geodatabase Feature Class dataset EPSG 6.12(9.0.0) 0 Simple FALSE 0 TRUE FALSE COH_PW_Zones Feature Class 0 OBJECTID_12 FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OBJECTID Integer 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. FID_Annex_ FID_Annex_ Integer 4 0 0 objectid_1 objectid_1 Double 8 0 0 PIN PIN String 14 0 0 REID REID String 20 0 0 PARCEL_PK PARCEL_PK Integer 4 0 0 LAST_EDITE LAST_EDITE Date 8 0 0 AUT_SNAPSH AUT_SNAPSH Date 8 0 0 PIN_EXT PIN_EXT String 3 0 0 PIN_MAP PIN_MAP String 4 0 0 PIN_BLOCK PIN_BLOCK String 2 0 0 PIN_LOT PIN_LOT String 4 0 0 PROPERTY_D PROPERTY_D String 150 0 0 LOCATION_A LOCATION_A String 100 0 0 OLD_MAP OLD_MAP String 100 0 0 VCS VCS String 10 0 0 CITY CITY String 14 0 0 CITY_PCNT CITY_PCNT String 4 0 0 FIRE_DISTR FIRE_DISTR String 16 0 0 FIRE_PCNT FIRE_PCNT String 4 0 0 SPEC_DIST SPEC_DIST String 20 0 0 SPEC_DIST_ SPEC_DIST_ String 3 0 0 TOWNSHIP TOWNSHIP String 50 0 0 LAND_CLASS LAND_CLASS String 50 0 0 ACREAGE ACREAGE Double 8 0 0 CALCULATED CALCULATED Double 8 0 0 DEEDED_ACR DEEDED_ACR Double 8 0 0 ETJ ETJ String 50 0 0 PROPERTY_O PROPERTY_O String 150 0 0 OWNER_MAIL OWNER_MAIL String 50 0 0 OWNER_MA_1 OWNER_MA_1 String 50 0 0 OWNER_MA_2 OWNER_MA_2 String 50 0 0 OWNER_MA_3 OWNER_MA_3 String 50 0 0 OWNER_MA_4 OWNER_MA_4 String 20 0 0 OWNER_MA_5 OWNER_MA_5 String 6 0 0 OWNER_MA_6 OWNER_MA_6 String 4 0 0 PHYADDR_LO PHYADDR_LO Double 8 0 0 PHYADDR_ST PHYADDR_ST String 6 0 0 PHYADDR_DI PHYADDR_DI String 2 0 0 PHYADDR__1 PHYADDR__1 String 25 0 0 PHYADDR__2 PHYADDR__2 String 4 0 0 PHYADDR__3 PHYADDR__3 String 2 0 0 PHYADDR_CI PHYADDR_CI String 35 0 0 PHYADDR__4 PHYADDR__4 String 2 0 0 PHYADDR_ZI PHYADDR_ZI String 5 0 0 PHYADDR_PL PHYADDR_PL String 4 0 0 TOTAL_LAND TOTAL_LAND Double 8 0 0 TOTAL_BLDG TOTAL_BLDG Double 8 0 0 LAND_USE_V LAND_USE_V Double 8 0 0 USE_VALUE_ USE_VALUE_ Double 8 0 0 HISTORIC_V HISTORIC_V Double 8 0 0 TOTAL_DEFE TOTAL_DEFE Double 8 0 0 TOTAL_PROP TOTAL_PROP Double 8 0 0 COST_TOTAL COST_TOTAL Double 8 0 0 INCOME_TOT INCOME_TOT Double 8 0 0 VALUE_APPR VALUE_APPR String 24 0 0 DEED_DATE DEED_DATE Date 8 0 0 DEED_BOOK DEED_BOOK String 6 0 0 DEED_PAGE DEED_PAGE String 6 0 0 REVENUE_ST REVENUE_ST Double 8 0 0 PKG_SALE_D PKG_SALE_D Date 8 0 0 PKG_SALE_P PKG_SALE_P Double 8 0 0 LAND_SALE_ LAND_SALE_ Date 8 0 0 LAND_SALE1 LAND_SALE1 Double 8 0 0 HEATED_ARE HEATED_ARE Integer 4 0 0 OTHER_EXMP OTHER_EXMP Double 8 0 0 NEIGHBORHO NEIGHBORHO String 254 0 0 DEED_PATH DEED_PATH String 20 0 0 PHYADDR__5 PHYADDR__5 String 6 0 0 TOTAL_OBLD TOTAL_OBLD Double 8 0 0 EXEMPTION_ EXEMPTION_ String 100 0 0 PLAT_BOOK PLAT_BOOK String 6 0 0 PLAT_PAGE PLAT_PAGE String 6 0 0 MAP_SHEET MAP_SHEET String 7 0 0 IS_PENDING IS_PENDING String 1 0 0 Appraiser Appraiser String 30 0 0 Assignment Assignment String 100 0 0 created_us created_us String 254 0 0 created_da created_da Date 8 0 0 last_edi_1 last_edi_1 String 254 0 0 FID_COH_PW FID_COH_PW Integer 4 0 0 Zone Zone String 5 0 0 Shape_Leng Shape_Leng Double 8 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. 20230323 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwCWQiRV Zl6dcD71RLnzDvBG7qNvQU9gDweWHNGAAcg+uQazGXrWaFbcsGJI4C+op0sSSOsjAAY/Kq0DhUR3 wdpzgirkur2c0zPJbbEPDKCSDU2AqXBCndCrhV4J3EiooUIQsdxJ561YktFceZAHFueVDdaiwscm C54POBx+NNANRY92FXaw46daaNrS4ywHcmrIt3d1ZGyvrtOPp0oMJZ+CN2eccUDKuAv3eRnqRSSB uCijI68YJp89vJGduAGPqageN1cJuWT6GmFhZHZtuVPy9MtkAmtK3iknswhdd5HyAc/gaznjEYAK gj0Hc1esJrqCXED+V5g2kcdD/nrRoKxXRjG7RyJhgeRg8Gnqq+cGGORgnHNW7uAmU7cOwA3Be/vU IjwysBjHHpSCxYkswkKsrEgnBz3qlKjW92pYZUdKty7BGCSAV+bNVLhJZIxMpJY8+oxQgLYjjmCT xnaE4wRgj6UyaOSKOYgFlfDGUsf1FZ73Ulw2JCBt4xirskx+yrFHMMKcMT1osBFFPKJEiDAEsDvY 4BHocnpW1qV1PHEMTI4lG3dj5V9gBWTa2yvdRC7WQWr5+dRkZ9/StoadayWTQWkuEY7t2QRmrWxL 3MgKIwG3qZOMjtRMmQXISQno2eQaffZsJPIdYzkfeGfmHrUVppF/qVvJLZxGVUbBG4Dr9TUpNl77 Ej3AWNVcASjJye59BULrFdMGY9B2Pepri0lsbdEv7cxyZ+XeOdv1zVCW0hMKlHOOxI4FFrbiaF86 WF9zgKgbCrjGaGmd1IIXJ9OahitJJlbEisFPAOa39Q0+1s9Ihb/l4cYY56UW6iK1jDObf/Vk5bgA gfpUxlMKbpRsZW6E5/KtDR9RgtIRFErMhQb27j2qncWk+oX7GKB5HYEgDp1otcFqZ1z593J5tszv G+QY+m2tCBo4LJ4Z5G27fl78+lQWc0lvB80JUDO0levPrVC8unlwWYAFskKMcUrdBl6KeJA0MQfz GOQ23giqt0rSXDEIB3AIxWhGtqWWS2c9B989abeCNlBK7mP5Ur6gjJguFRnWQDlflyMAYpnmGSck MobHAFWni80sBH93jpTZEVdqtHyO49KoCtiYyGc5PYlhkGp7cCVwMFR6DvVxbUn5M4iUZ259aeYo 4FLAHGeMdqnmArraOJiu3OecHripybYHBgDEcZxUhuS7LtwGxkMP8adm2XhpirdSMUAZUSDczNjA GMe9IYkJyxPoPaogJlyxJPQZNSry53YOOvYGqAu/ZoRFuOWPYmqFxbSPJhYxn26VejkLKgyAR0bH T2NQPKSjBlJx37Uhi/vII9iNwowMcgn1pnyyJ8gOd3zrjvUaOJJF2HByMk9AKsQXMcV2GG5nyQOO voaBGjZXC2tvskjLuXJVDxT1RnbMhxnnK9zWUt7JJOxnUO7AgH2qwNT2wupVd5BG0fw5oauBJfsW tt6jKg7QxFZKR72DOnJ/KrscrxxeWy7w33Qe1NG5lLEgAdcdqBkaxkEMAGUA8GkWTyiNpZSvIq7D EwBMm3aPSp4NEnuwWygQNgMTzVRhKbtFAyrZXTG5DFOfUH+lLK8V1cNI6gMDx2Ga3LTw/HbtvaZm b2GKJvDsMrEW7Mrsc4PIJrf6pUSuxbmHPi1nQM4bK/lTpCNyyb8IR64rq9O8J2sIV9QImmJ4Gflr R1DQbG9tDF5KxkD5WUdKz9g3qaeydjziWFrqUBY1VsgDb1roZvBs1rD5q3IcnG4FenvUOhfZl8QQ RyIFWIMfm7tjiu4u5A1odmG34UfjV0aaauwjBNO5xv8AZ+owFPJELBf9ojJqOWzvfP8APSwjikP3 zG/3q6IqVYq3DA4NJXd9UptaGXU4q70u+lkaSWGRu+cdKu+HptStFkhtyQrHOGHT611FIFUEkAAn rUfU0nowTsUrixk1Aq2oSiQgYAC1K+n2r2/keSoQdMDGKs0V0xpQjsgbbMBfDrRzfJMPKLZIPWtt oInGHiRh/tKDU/kzYUiJjuGRimcgkEEEdjU04U43UeoNNbkUOm20kqAWyhXPzFVxkVuR2kEMokjj CsE2celVtNzukHbitCsKnxbHRTStc5DxlG8f2eUYEWQoC9c89vTpXOX1uhgRgArkgFgK6nxgsuLd yB9nB25B53H/AOsK5kBJx5sbFkjBDY7e5rgraTM5/EJaxBIjgLnpnHWqtxdXE0whgh6dd3ar6FJH UxtwMZHvTvJZboupUA9qyuQkU0tdRlQgFY++fWq9xNcwsInIZlP3sVsC62SOmOeBms542NxvkUAH OMnHWi49BbSXejMckg4IJzmrqwLtPzcdTVSFY1D7gBu6c0qTbmKu4jOOc/xUhETKXLBEI21NHG7R gv5ZPT5hzU3lGBTJjIAzx3NVzchThlwfSncCBlC/ewO/NVSJMk4G3sBUxlDfOSSzZ2gdqfC+yTbK ASBkGmMfZzhU8uZCufusRSXtvlwA7Ed89qcp88hipz3+bgU3zGRvLmY56hjxQIjFkEy6yDjsaIkV sO3Lqc7f8/Wm3ELzZYMFQcd8mn21vcs4CK0yt8o2oTzjgUwI5vuj5SGxjIHOKSzilnukijAeQnjP UfWuotvBstxoySPKUvGydjrgD2NW9L0ddKjIkUfaG+8f8K6KWHc5Wew3FrVjINEt0w8uXkI5OeKs Nplm0Ji8hQh9Kt0V6caUIqyRBi/2JIlwPKlUQgHAYZIrSsrUWdqsIbdjJz65qxRShRhB3ih3Cp7L aLtSQOQagoPyqGbcrH7nQAinUtaw4aO5rSSwmVAZRuzjA5pzXUKsymQZUZNY+BikwOOOlZ+w8zT2 3kTXFkiTG5jjUh/m3gcjNNgkRLiPex2hs7Rzz24p0M7wupDMVH8OeKbLcSy3CSYRVQ524603GVuW wrxvzEl4yPN5iB8HqShA/WoK0Y7+OV/LkQKD3J4qG4smTLxDcnoOoohPl92Q5xv70Rht9lvHJ5TO W5bBPFSR6f5kQYuykjIU9vrUEVzLCCEbj0PIq5Bfq5VJFKseN3YmpkpocXBkB0+YdGRv0p0enOwP mvtOeAvPFWri7S22buQx7HpUsciSxh0OVPQ1DqTsUoQuOVQiBR0AxVBrDzJHdZhtJyMDPNWrmRoo GZV3H+VYxma2RplYqVUkkU4Rk7tBOSWjL6yQ6XFI93PGiluCTWVfeLoIpF+xKLhF/wBYcEfgK46E tf38lxM+75txJ6ZqyunyzPcSRLtjiIaTnHBrhniJN6Ee0srIta94kTWbOKOG3kjKvuyx4zisrTWM TydAxX5h61G0PlsGLHBBxnvzVmKMpGz7ivQAkdaynLm1ZDbbuyw2oLbwOxsnG/gPkUyOeMr+6LM3 q55H4VOBLLbL5w3Y74qAWpA85XBx/Eo4rMLkZnaCVi3zKcZzSNDPI0RbhSQ3HYUyePETTtuZlxuG eKktZ5JDhYuWH3s84PpT6CLE0kbyAZXaq4HHT6VmzROswcEOAMDNW5D/AKTGjKN35g0giikG0L0P 60bAyeK8aWPAXHGMH1qVI0VQChY9yBmswRmK4CKxP8X0q+s8xX5YVx/vf/WpW7Bcy1iKSbwQWxnP +ApiKDKdnPbnvQSdxzkY6YOfwpyswRQuM5PTrVASKyKjYOGBpRIANzAMW4NQJlSxPJ9TzzT8g8cA dPpQBMkgj+YLkdq6fwzq+nWOnzi4uFjlMhYqRgkYHT16GuPkDKFIB2HqTTgpHRA3GeauEuV3Ki2n c6Z/HF39pmMVrE1vj92GJDD3P+FathcT6nbRzld0rjLAHAHPvXDWlwkeoRO6IQjAnPP6V6FZa5Hd xeZb24SMHbgnB/SurDzk2+4783xMR0aNyjjDDrTanuoDJIbuMgoQM1B1r0IS5kRKNmFFBOBmra6e 7IjeYASASCOlEpqO4Ri5bFZI2lkVFAJPrWnLNbiJ4TJGpC425ximWdq0Lsz4z0GKoShlnkDddxrF /vJWNFeESMdBSnOOKKK6DEUj5N4O5M43DpmkpGXcACTjrjNGR0zSjdbjdugp6GtqDmCP/dFYvarc V01pGgk+dGGQB1FZVlexpSdrl2e1jnGSMN/eHWqEunzIuQRIO4Awa0YZRNEsgBAPY0/IHU1ipyjs bOEZalDToWjkkYxlBgDlcZqxdXCwRkBsSEfKMZqxWXeDzLwqrKNqZO40170rsT92NkQC4nxjzn56 55/nVea1e6s5YhKgYj+L5ePrUqsTGEz8oOQPSq19ci2tZJFAZ1HC571tKKUX0Oe/fU5KWaGJprbd sYcMeoyPSrv2i3SyeLD+fNg+aDxjGADUdi8EhmS+RfNdiQ2Ov41XeOWNWd0wpTEYA646f59q8Z2W wFa5ihVQx3EjOWzx1otpkaIKrEoGySRwPz5qxHKGspQ0eWlXDHPTntVW3TySE2vknkZ7UugGv58b nygwII7MKgtryWG1uLdI0dSQU46UtvpG9RI3y7ec9sVGY1t3kmgz5ecIwPUUkDHFGuLqVXRUh2j5 gMc8cZpAVMgjjBJX5RgdfSiK8u54PKmlJjT5kQqP8mpZRNBseEAOoIAA6mkxDLm0dESWbKgMACeu TTLQ6cC6yZaUHmQk4z7U+L7TKgW5Z8PklTWc9nJDJ5jyKgznrTQ3oWL5PLnVomfA6sAcVPA0Twqx mOT1ywHNRRXRnBSQ7o+uMY5pPIkPKRnb2wuaLARSMMRgsN2eePrSIFDqqqC2OMetLPZCFclt+T8p z0qMNvBKcFeuBTAbl1lIK49QaZjJ3Y4z3qd45Mb85IXnNNjbKkYycYoENcuVEYPynkgUjOwysRHA zk81Iu0AgnDHgU2QMFxGp4zk0DTI4U+Xc4G7ORmuo8MNi2mj9GBrmXDiDgZYd62vCckguLiOTPKg iunCu1VAzudOYFJEOOucGpp7KOX5l+R/Ud6ywSpyCQR3FXba8ld1jKhie/tXdODi+ZGsJJrlZTli eJyjjnt71o2EzyoyvzswAanmhSdNrj6H0pLeBbeLYDk5yT61Mp80bPcqMHGWmxLUMtrHM6u2cj07 1NRWadjRq5jXUYiuXUDA6gVFWpeWxmAdPvr29aoQW7TylM7dv3s9q6YTXLqc04Pm0C3t2uHIUgAd SaspZSR3S4w0QH8Q/OpYrQW0hlEjFQpyPWmQ6gHlw4wh+6fT61nKTm9NjSMVHfcguIv9MCxxnGQT xxU95bEbZYV+ZeMAdqvUVHM9C+RakUOEt0yvl4HIPasu4naW63A5WNuMVrSruidcZyDxWJtKfKyl T6EVVJJvUiq2loXDqLGZTtIjx8wrJvtSt4Z18w8TOcH0xVquVv4v7O1EO6GSEncgPrnkU6v7pXiZ ObludbcSQmXfGVEe0cjgVy19P/xMpNrxkBgcMetULnWby8lYMfLgbhYxUJ2tIi8A9c4rkr1lKKhE V7u5cuDvTLgADJ4HIp9vLKbYmfDgfcPcCq1zOjtGg+bzAMk8Y5qN53mZbaBCTyePauMCa7ONpjYE S9PrTo7fNxuY4cKSNvPNVXBCISjRt19hzyas27hZDKshG7jOKOgyrdzyLKVMjjHUZIqafVYjYQWi RqcD5n70+WyiuledncSn8qrppS+SzM5DKM9KExD7GNpoWKtyDgbvpTrm6keIAIwIbkjselQW1w1u zYXII6GrcRje2LIx3s3IGfxo6gbthf2zaRGskQIiTBkYZ5rn51glwJvvHnngAdqsgLCkluxIdMEA 9O2fxpiskiYOGAOD6UhjUiixtjcE1eiYxRhGAzTVjhEQaNVz9OlRNPErEMRnvxSYEMLR3cRDfeA+ ZfX3FVZYlifCKznPUD+dMWRI23r8jHpg1XN5JvYI5x3xV2EXPMUyBCM7lPNVIYZVmII2qehqIMxG 8ke2OMVKb0pGFIDNnsaLMCRUdnbzMegNPI4KqcZGSKfC8U0ZZwR7njFIiL5bEpvBHynGRQJEb27G He27YDV7RJ0s70GVvkKkFqqieUQqrDKr6ioy3mOSnU8YXpVQk4yUkUd6jrIgZGDKehBqe1dY7lGZ to5ya4aw1O5sJdvJUfeQ8j/61dda3Md3AssZ4Pb0r1adaNZW2Ylo7m1PfRxKNmJCeymrCOsiB1OV PSsOteyCi0j29xk/XvU1IKKRvCbkyeiiiszQKglgO/zYjtkx+DfWp6KAIVdbmJ0YFTjDKeorLnha CTY34H1rawM5xzUc0KzRlG/A+lXCfKyJw5kQ288aWsW9zzxk9jVoEEZByKxnjlSQ2xOAxH4+9a8a eXGqDsMUpKw4NsdWbqR/fRj/AGTVy580QlojhlOcYzmsuedrh1ZlAKjHFVST5rk1XpYjqC7t1uIs EAspyKnorplFSVmcxxFzEyXUjNDxuyABwKrTiWMgsrYIzxxXS6xAYSbhB8j/ACyD+tYRlM2Ucc44 PGTXi1abpy5WMrtJuKoSgDds81f04wWlx5rqxIBxjnrVVYFk2SAKCpwM1JsIkAKn7uPSsmNaFm8u FnnDJ8seBwRTLILLK4bHy9iKQxsD5hThe2aidZJMMEH+8O9Kw2+pfa6ihh8nyw0zMOnYVE8/mR3C oNhAwd3GRUCbpCmW+bIH1qG7uEjvmXaSAfmxQguaJ0kPpy3PnLsVRkdcVRhWe1jDRvlN2WUjk0RS yI0iRqwilIV+OQPapZZ0VG5AyTjJ96BCTgX9wzwk4buxxjApWj8mNYw5L5HQVWjLqVKoxU7mytTK ZpW2upbABHy80wLpLWtwokZSjjOAetVmjIY/uy3vvxTo7dJmz5g39k9KtKqBcSN83fHNIDmZ5H8z eGHI6dqbDG7OTwCaesDmMyBlVW6j2pQoWX73B5GKsB0qLt3nI7DAqHy/3e4gFieAankm8tSpQE9B 7U2FEZf3rMGPQ+lACqX8vyc5DHpV9pVISJCEwMFT2PNUTaz9Bg4PUGh1aFS7HgjHJzQBbnZ7h41c LGeQRjimpZ7JPMaQsVOSBytIs0Fwy9STwwx0oRBGPlyo3ZGP8KBE7Qhi7xNyeSD1Fb/h+ErbPKWH znAHpiseC6jRlXbhm/jJq1a6m1qTHAocF+h9frW+HnGE7yEdNWhpsmUeM/wnI+hrOGSBnrVuwx5+ 7zFGPl255NenVtymlN+8alFFFcp0hRRRQAUUUUAMeONmV2UZXkE9qZDcxzlgp5Hr3oum22sh/wBm shGaNgynBFaQhzJmc58rNwglSAcH1rFmikhciQHk/e7GtS3uVnX0cdRUzKGGGAI9DSjJwY5RU0YI YEkA9ODUD3sCSGNn+YdQAatSKqzy7FAG88D8v6Vyl9cSx6hMwC7QTk5q69aVOCkluc1tbG5Je2Uq NFJKoDDBD8fzrlrmAQzmMOGVTlSOQRTGaecKzbWJ+6PUVIiKAPMXAHGPSvOq13VS5lqMij25Ax8p xVkossSyNnKgnA5yMk0023lSIYwMg9+mKomO6hkDiZvLD5OD059KxTQFue4nlQGOIqkg+bucVYtV heExuxDBT8uMU4+YiEnkHniqapcxOHd+GyV9aVwIC8qOISeMnp2qaOIHcZMEE96ju5IjdBJWKPgE tjgGmPE0S70ulkGfujrQBfhMhmMbTF9zdSvvULxTI+4SgELySevJ5qoskiFJfm3ZxzzipjKPKGTu Zjge3FICw9yJmWIKzKMAMT3qxNGsFupKkSE/KM4JFVUkW3RXKKW96dNfG4k8ybJXHDL/AA0ARtFv BDHbjn5ecfjWha2rfZ1wQPqazgrRyZjkBV+Q56mrMNxIYh8xGOOTinuBlRzK0SoQdqnIHr/nFMkn QlsEAg8YFS/YWEauOpHApi2qEncOB3qtBjPOQ5JGWI7VPuGBt5zz9KiWIea8iAbVHTtU6qY1IIHX ApAKssoG/buA64PWoJVlnuB5mI0fp6VYeURxAZHHaoAZXYk52jhR6UCY9UgQ7vMAOcYNK7MZCVKY 6ZzVd7aJmA3uD3zT1iQAlOB05NMB2DuyWBar9hPbxXULyFlXdlgORWa4y/y9B3qeEpgnbgDvjrVJ 2aYjvRIkkW9GDKRnIq1dBEvl8tAuzb2681yWm/bpTGLcHa/AY9D9a7qO1DorXEaNKAASOlegq3Pq 0aU4totUUUVJ0BRRRQAUUUUAVr84tG9yBWVWpfoXt87gApyc1muhQKcqQ3oa3otJWMKqdxFZkYMp wRWvb3CzRbujD7w9Kx6VXePcUOCQQaupDmV1uTCfKxucjcep5rjrp/MuHf8AvMTx9a624fyraR/7 qk1xUbL5hBcEA8D1rjxz0jEgevDscdKlKeZGVGC/9aIQFlyxwDkcc1Larm5eErkjp7flXnbjJbK4 DoFuIhuUEVUu03Rn5doZgP1p11D9muF+YkuOGHNNkk8y3K/eKgNkdaGBDHdyY8pBvYHG7sKlTUFV /wB7EWmTIUds02zZYRJGVBz8/H9ahkDmWOVAC2c4A/nTAhuC5LMwV2Jy3rmnrAY8Squ7IBANSiSK a4ImjKOevv8ASrkNtjG3OwcDJobsBmrIxl8sx438cnAqzaBlkKAAgcn1+lTyQRzOxYqwRGDeoIpW eNITcuCcDgile4yO9tJpo0EQU7Sc84qn9lvIeJI2WPPJPIq6164tRIkaujfwtnioIGladv4T/cY5 FC2AmJjWLeNox2PShBblcsUYk5yTTWjllYIVQAHPFNbT4XYszMD3AoERCcoW6BOOD61E9uZXVz0P Qe1B+eVAQAAMkfWpGLIDk4ycDmqKIxGVO1S2z2PWpkhQJ+8BGfWlQFF+706mm7w0WMk552mkAYHJ Cgr05603yycIin5uOenvUccoeTHIHTDGke6jPyjPcE9aYrkZ3YKg9DTgzMhXGVHYVIsQKkrJsHcf /WpxQ7htA24wSRTERqqqeF6jkGrKAGBXHU54I6CqpjdnIjbYB1PrUn2KUlcvI2fQEigDtNMj8vTY FP8Adz09a6CwdTbhd5Zh1B7VydjqMywbJYQVjXG4HGcd8GtO1ulnRLi3kGfUYOPUV6sZQqRUYPVD hLlZ0dFVLO7MxKOPmHQgcGrdZNWdmdSaaugooooAKKKKAGSxrLGUboaxpIzFIyN1H61uVnaimJEk 9Rg1pSlaVjOrG6uUqKKQjIIPQ11nMZ2r3Ma2ckIceYw6DsO9YqwIUDMUUYyFA5NR3UD211IwV1w5 Kox/hq3aSRuoSWLfGRkYHI9sV4mIqOpPXoUivKqQzKQcuy5x6U+GZFl3rjzMdxUFw/nzM6D73y7Q OwqNWEQBODk7RgjOfpWKXUNC3cscmQq+G6Njp7CqTmJY9hJDZ4bHFSO6yNsJYMp5BWotR3GybYwy jAnHYf5xQA2GSFmJlnxxjO7BNKSGkOzJx2xWQrSNglSwz1xW7CS0G+QBXY8gDGKGrAh92zpbAQoG c+vaq1pqE3lyicruQDGRj+VDOTMedwGSoNJFHvgkl8pXGfuk0lsBLbtG5lnVQoYcj1ptx5yRgK2U /P8AD9afHIFhCpGATk4PQClXcsbGQZ4z8tIBkceYPJ3D5uoAp9ravyWlYnoAe1EAfc3occZ4xVkA 4AQFWB7UXARlWI53bh0+U1GXEjFgjAH1BplrCYDK9w6rGWLAk9zVnbGeRtYep70BYwxMZNryMEGc nIoHlTyZ8wED+82KhMTSSbEBK8AHtVmKCJV+4u8HrWjGT5VU3BxjpxQxzkZznpUTmM9OCeOuKTkL ncdy88c5FSFxX2mPayjd0zQuFRQAMd6PMQ53enFQLJnOcrTQrlohJGYMMDPX3pvliNSpZvrmmIzZ wGHqTTiWYMc4X0oC463njgYM8YfBHTpitZL+2mDI7oIuxxj8MVhbCwI6YqSNVSIEjJBOTQB0U2ze ifM4XgISefxosI1g1BFVtrSDJXpms23vHJ3SzMccY45Nadjvkk+1KhYqjHJ9emP51dBP2iBs6BZX iyUcr368Vrw3CTAAMN+ASvpWHGzNErMvzdSKmkld5jNna/tXrThzaouE+Xc26KqR3TqCZkOzqJAO KnWeJhlZFI+tc50XRGboC8FvtznvnvjNWKx4pwLzznztJJ4/StOG4jnXKHn0PWqlGxEZXJajmiWa Io3fv6VJRUlmS9jcAkKA3oQagkR4ZPLkHPqOlbtRTwJcR7XHuD6Voqsk9TN0lbQ5vVLA3djtwA5B aM9xj/GucRhACXb5gQDwRz6iuvkLiVhICGBx04/CsHWI47a5jnUKSx+aM/xVliaXNH2hg9GZd9NI bkSB9u5BkDoarAW6XsM5dgoGHULkj86bcu80yuRgN2HQUhUDKEe4JrzwNkTWltHIGhLMRv8AMPB+ lZIme5UNsUo7YkCdMdjSGedwI2JYY4BHWrsEBnYQQIm9yFBHGST3o1YWOpstNtbzQhb2MpUeYHYS fNg+lQXmkNYWTXNw0coiHYYqS20650GJLoSeYOk0a9AParniC4jk0IuhDJIVx7iulxTjeS1Rs0mt dzhruV9Qk+0xkgdMFewqK3ka2hfjKsT2zUzbraN9wARj8mPSoGuTHBIqruRh3HeuUx2JrO3M9vLK CpbeOPY0+2tHWRWeQkqeB0FQ2Mr28eR3OducZq/FeoSJJQMc8L2oYFa2lnlkd52GwPsGPWrbSQNK /kOXVeDng5qEQ/JIUY4Zt65HBNUrGKV7iRJAQWyCfelpuMTVHldVXyysa8565NUVFyB8rso7ANit 4+asbRyRjI64H3hTBaQkA+Rmi9gM9I3WLOAPxqNlYoxdfoRU2SFPO7PQGnyqPLjUEHcO5xj61QGe IJCC5UkdqX7PKvOSG64XtVrftk27Qw6bs9KjmQkllcDsST/Ki4hsRXafMznoDijy942ggjONwp+z coCTRE9MFutVY1/0kbxkn+EnAoAnkt5IpU5DK/IRe1NyrL82QR1BPWpEmw/zAbUJA68UsgWd1RCu H5LAYoAYs/lA8ApW5pVpbX0OBLsP9wCsRYVF0gIwgPNaGnSC3vVdARt4x/eq6bipJyV0BvQ6DaRH 5suM52npmtNUVBhVCj2FKrB1DDoRmlr2oQhH4USFIwJxg4waNy7tu4bsZxnmlqgHeZIE2eY23GMZ qMlVxuIGeBnvTq5fxTfkMlrEWDr8xI9ayqTjSjzWHds6irNi0aXBLkA4wpNc1oeqNJizunzMBlWJ +8PT61uU1JVYXQ4uzub1FUdPMpQ5bMYOAD1zV6uZqzsdSd1cKp3V1GrGAhskckcY96tkgEAkZPSs HUdQt31WG2jOZfus3YZ6CknFP3hTdloXNUaJbdZ2kGEGcZ6j1rmNZksJ7VZIXLy8Evnp7YrX1XRr 24mjWBla2EeHVnIO7OcisBNHlR5fNZYghxsJALGsa1R25UtDKd77GYXVuDwOoqVrZhAJ85HTFROi O52DAz69DV6zuXVBHNHviHOCuRn3rkMmZTOS24qUU9D6Vp6XEIrtJ1YsAQ457gjiq96rzszMUQZ4 Hp+FPsSkAyJmcbtp6D9KPMpHav4hsceXMkihhzlcjBrC1nzLe2e1hkD27N5kbK2cDuKpTFJIN7fx 8Y9Knmlga3ADqPJwoXbgsPXqa2c+dMtybWpiR2tzeyB96hADje3pUkUDT2rKEGwZbPvWvDJHDAks bZdZN4VsY6VRud97OxQASSH7o7n2xWTstOpD2I7O6aTOIx8owPapHNvM6oJU2jPy9Px/SkS2KQO0 ZSPgD15pl1atLYQwAx5HJIAGP85NSIcAxnSG3bKZPTnFOjfyd6qrs4JJbHei0hMMAiLIoL7tzHOO KcxMTE8EZ4+apaC5JLdmOLdImTnHHWoBfKBhuD6bTT5XSW2Jxl84HHb1NZ9zcosxCwkAADgnFOwX KKymMfeUk/dbOQPy600ySMu0YK5yW5yTTxEnnKvycjJ/wpyQs8hMZTaBk+1WIVId4A3EL7d6Jbcn uduMADpU3KptUjGM8UpyxA5AHU9aXUZUVfJ+4FMh74zinSbx+9JVW6DA61MxVGYBQSe/egzBRFnG Qeg7j0oAgt5SizM+eB0I9auRiLbDcT4RQMc8E4qnKGnGYkO4t1zU7RSjyo51bavOCB1oAmjuYZHd hAQvbpj8aSGSNJQXAx0OO9NOx4SBHtZT94HFRbW2qz5GD360AzTbUJ4oPIgu2CHjcByB+XFV7W+u LR98RdmcnLHuffPWqitGm8nhmU4FTIFWASluAADzzn/Gq9pPvsIuaZest8txITuJIck547116srD KkEeorzt0eRlfdn/AGcY47Z9acYJA6sJdmfQ4roo4l01Z6geh9K4HUoxJczSlv8AWsTz9aBcXqbU SaZc9drmpb6MrApJwegB70V8R7VJJWGkUIJDbyJIhYSA5XPOK73S9TgvoSdoMwXlD0B9fcV5+qgY yTuzk81oLMDt8rKGPodtRSrOn6AtD0KxUfahukwAMgFsZNaN2ZRaS+SpaTadoB715ydUka1CuXc8 jntU9r4i1C1LiOUOpXAVsnYfUZrWWIjKWxpCpZWYy9v7yWSPz5pA0IwpJwQf8apJdqX8sMWdjuDA 96fczi6Ju7h1ZzwUzg5+lU8opZ0JBPzAAcDFcjdzO+p1UPiu6gtnilQSOFG2Q9R9R3qJ9Vmu7nfM A8L8MFO0ECsjCysGLhd4HJ6Z9PatHSLC3up/IuJfKfdlXVvvewzVxlKWlyryegkunwLAbuOdQxbB iPBA7Y9aGhvYNNLQo72o5Lv0z/nvV3Wf7PjuBZJOpZgBI2AzD8un6ViSqYc7Tui7HG3P4Cidk7A7 J2K4DHHIO40kkhiPlqu75gcA47VK67wWjy2AM47Uz5I5tp+9nJPXFZEl63uUKEgBSw+ZCOeO9Xri C5tLBL+KMMjjByC20e9ZxZnCttVVbkHHJrsrC9tLLSbRTISCv1IPetKcU27suKUtziVeVgclSDzl G4HtRbanbb8SOY3U8SHP5dOK1fE1xb6jcRPZz5IXDYUjJ7dq58WDXBbPCgZYehqZJRZLVnZHQWel NqkBubG4hcRnZszg/n/iKcyyNILeaIRNaxsJQ4BBBXr/AC/KqHh3UV0r7QI08yR8Kh4AB9/0qpcX TTSXJkdmZ2Ic9/8APSnLltpuPSyGy3ZW3WFfLldMjdnB69xRFKzR42bnA6KeF9qpXUP2WKNSVJbJ JGKlsLlFf5iEPQZHBqCS7bFJTO77gH+XaB0qc2K/8sbh0THA3A1QOoPaysixrjPIYZz71eglubiI SKsSg9iMUtRowlU+YY2GfXFWFcQQYVA2Tz70UVYhdysyERhB3L84/KpftEaAgKCCKKKQEcLRzcY+ fuMU2WJWUSeVjGF68UUUdQLFpC63a/wgDjdxVueBzJ5ZZAwbcpZscYoopLVgUJf3ScqCSfXr+NR+ YZ0ZnbB6YHeiimIjVB5ZGRn2HNLJK0oUSBQgA4WiimBIFIKt0A744+lW2gSeAeWw8wdR0z9KKKl7 AOjCRWrtLy684NZk8rXcrSkHpwAeBRRRHuMcgRRlvvFeT1xTmmKIY0QCM4zxyaKKoCWNmhVfnDeY cnnpVm8i8tEliGUPVietFFJCM91EsmNwzgZCjOKXzFgYblU7Oo96KKYEwvpyAJkGw4K/jT1kEs+4 AqBwNpoooGaf9krbo0lwP3rfMqjt9ageRLi0O3IZDypbgCiigRVgLr5yY+Vh1bpUUaiIhy3yg9uM 0UVIzTtZ4bh2jKgAr+7x0HWqbhvMbnBU9+lFFACRXAhZZXAO3r2z708yuzNPFgRvlTz0z3oooGiN iqWAXOJACF2/XrVGFpGGGY5LEHj6UUUIRLLCjoxzk9QB7/4VUaEr95c0UUwJIMuBH5mT6MOg+tWs yLwAhHqKKKYj/9k=