20021204 15060200 FALSE 20240501 19104200 20240501 19104200 {087EA87A-1690-4E38-B10A-544999AB66BC} FLCounties -178.217598 -66.969271 18.921786 71.406235 1 002 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.2.0'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 1.0 50000000 625000 NAP Simple FALSE 0 TRUE FALSE FLCounties Feature Class 0 The polygons represent the counties within the United States. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas. In the states Maryland, Missouri, Nevada, and Virginia, there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia has no primary divisions, and is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. Department of Commerce, Census Bureau 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. NAME NAME String 32 The county name. Esri Federal Information Processing Standards National Institute of Standards and Technology 0 0 STATE_NAME STATE_NAME String 35 The name for the state in which the county is located. Department of Commerce, Census Bureau Federal Information Processing Standards National Institute of Standards and Technology 0 0 STATE_FIPS STATE_FIPS String 2 Department of Commerce, National Institute of Standards and Technology The FIPS code (two-digit number) for the state in which the county is located. Federal Information Processing Standards National Institute of Standards and Technology 0 0 CNTY_FIPS CNTY_FIPS String 3 The FIPS code (three-digit number) for the county. Department of Commerce, National Institute of Standards and Technology Federal Information Processing Standards National Institute of Standards and Technology 0 0 FIPS FIPS String 5 The combined state and county FIPS code. County FIPS codes begin with 001 for each state—use the combined code (five-digit number) to uniquely identify a county in the country. Department of Commerce, National Institute of Standards and Technology Federal Information Processing Standards National Institute of Standards and Technology 0 0 POPULATION POP2015 Integer 4 The 2015 population of the county. Esri Populations for the features. A -99 value means no data. 0 0 POP_SQMI POP15_SQMI Double 8 The 2015 population of the county per square mile. Esri Calculated populations per square mile for the features. A -99 value means no data. 0 0 POP2010 POP2010 Integer 4 The 2010 population of the county. Department of Commerce, Census Bureau Populations for the features. A -99 value means no data. 0 0 POP10_SQMI POP10_SQMI Double 8 The 2010 population of the county per square mile. Department of Commerce, Census Bureau; Esri Calculated populations per square mile for the features. A -99 value means no data. 0 0 WHITE WHITE Integer 4 Department of Commerce, Census Bureau The number of people identified as White alone in 2010. Numbers for the features. A -99 value means no data. 0 0 BLACK BLACK Integer 4 Department of Commerce, Census Bureau The number of people identified as Black or African American alone in 2010. Numbers for the features. A -99 value means no data. 0 0 AMERI_ES AMERI_ES Integer 4 Department of Commerce, Census Bureau The number of people identified as American Indian or Alaska Native alone in 2010. Numbers for the features. A -99 value means no data. 0 0 ASIAN ASIAN Integer 4 Department of Commerce, Census Bureau The number of people identified as Asian alone in 2010. Numbers for the features. A -99 value means no data. 0 0 HAWN_PI HAWN_PI Integer 4 The number of people identified as Native Hawaiian and other Pacific Islander alone in 2010. Department of Commerce, Census Bureau Numbers for the features. A -99 value means no data. 0 0 HISPANIC HISPANIC Integer 4 Department of Commerce, Census Bureau The number of people identified as Hispanic or Latino in 2010. Numbers for the features. A -99 value means no data. 0 0 OTHER OTHER Integer 4 Department of Commerce, Census Bureau The number of people identified as some other race alone in 2010. Numbers for the features. A -99 value means no data. 0 0 MULT_RACE MULT_RACE Integer 4 Department of Commerce, Census Bureau The number of people identified as two or more races in 2010. Numbers for the features. A -99 value means no data. 0 0 MALES MALES Integer 4 Department of Commerce, Census Bureau The number of males in 2010. Numbers for the features. A -99 value means no data. 0 0 FEMALES FEMALES Integer 4 Department of Commerce, Census Bureau The number of females in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_UNDER5 AGE_UNDER5 Integer 4 Department of Commerce, Census Bureau The number of people 0 to 4 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_5_9 AGE_5_9 Integer 4 Department of Commerce, Census Bureau The number of people 5 to 9 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_10_14 AGE_10_14 Integer 4 Department of Commerce, Census Bureau The number of people 10 to 14 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_15_19 AGE_15_19 Integer 4 Department of Commerce, Census Bureau The number of people 15 to 19 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_20_24 AGE_20_24 Integer 4 Department of Commerce, Census Bureau The number of people 20 to 24 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_25_34 AGE_25_34 Integer 4 Department of Commerce, Census Bureau The number of people 25 to 34 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_35_44 AGE_35_44 Integer 4 Department of Commerce, Census Bureau The number of people 35 to 44 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_45_54 AGE_45_54 Integer 4 Department of Commerce, Census Bureau The number of people 45 to 54 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_55_64 AGE_55_64 Integer 4 Department of Commerce, Census Bureau The number of people 55 to 64 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_65_74 AGE_65_74 Integer 4 Department of Commerce, Census Bureau The number of people 65 to 74 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_75_84 AGE_75_84 Integer 4 Department of Commerce, Census Bureau The number of people 75 to 84 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_85_UP AGE_85_UP Integer 4 Department of Commerce, Census Bureau The number of people 85 years of age and over in 2010. Numbers for the features. A -99 value means no data. 0 0 MED_AGE MED_AGE Double 8 Department of Commerce, Census Bureau The median age for both sexes in 2010. Numbers for the features. A -99 value means no data. 0 0 MED_AGE_M MED_AGE_M Double 8 Department of Commerce, Census Bureau The median age for males in 2010. Numbers for the features. A -99 value means no data. 0 0 MED_AGE_F MED_AGE_F Double 8 Department of Commerce, Census Bureau The median age for females in 2010. Numbers for the features. A -99 value means no data. 0 0 HOUSEHOLDS HOUSEHOLDS Integer 4 Department of Commerce, Census Bureau The total number of households in 2010. Numbers for the features. A -99 value means no data. 0 0 AVE_HH_SZ AVE_HH_SZ Double 8 Department of Commerce, Census Bureau The average household size in 2010. Numbers for the features. A -99 value means no data. 0 0 HSEHLD_1_M HSEHLD_1_M Integer 4 Department of Commerce, Census Bureau The number of nonfamily households with a male householder living alone in 2010. Numbers for the features. A -99 value means no data. 0 0 HSEHLD_1_F HSEHLD_1_F Integer 4 Department of Commerce, Census Bureau The number of nonfamily households with a female householder living alone in 2010. Numbers for the features. A -99 value means no data. 0 0 MARHH_CHD MARHH_CHD Integer 4 Department of Commerce, Census Bureau The number of family households with a married couple and related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 MARHH_NO_C MARHH_NO_C Integer 4 Department of Commerce, Census Bureau The number of family households with a married couple and no related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 MHH_CHILD MHH_CHILD Integer 4 Department of Commerce, Census Bureau The number of other family households with a male householder and related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 FHH_CHILD FHH_CHILD Integer 4 Department of Commerce, Census Bureau The number of other family households with a female householder and related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 FAMILIES FAMILIES Integer 4 Department of Commerce, Census Bureau The number of family households in 2010. Numbers for the features. A -99 value means no data. 0 0 AVE_FAM_SZ AVE_FAM_SZ Double 8 Department of Commerce, Census Bureau The average family size in 2010. Numbers for the features. A -99 value means no data. 0 0 HSE_UNITS HSE_UNITS Integer 4 Department of Commerce, Census Bureau The total number of housing units in 2010. Numbers for the features. A -99 value means no data. 0 0 VACANT VACANT Integer 4 Department of Commerce, Census Bureau The number of housing units that are vacant in 2010. Numbers for the features. A -99 value means no data. 0 0 OWNER_OCC OWNER_OCC Integer 4 Department of Commerce, Census Bureau The number of housing units that are occupied by the owner in 2010. Numbers for the features. A -99 value means no data. 0 0 RENTER_OCC RENTER_OCC Integer 4 Department of Commerce, Census Bureau The number of housing units that are occupied by renters in 2010. Numbers for the features. A -99 value means no data. 0 0 NO_FARMS12 NO_FARMS12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The total number of farms in 2012. 0 0 Numbers for the features. A -99 value means no data. AVE_SIZE12 AVE_SIZE12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The average farm size in acres in 2012. 0 0 Numbers for the features. A -99 value means no data. CROP_ACR12 CROP_ACR12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The total area of cropland in acres in 2012. 0 0 Numbers for the features. A -99 value means no data. AVE_SALE12 AVE_SALE12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The average sales (dollars) of agricultural products per farm in 2012. 0 0 Numbers for the features. A -99 value means no data. SQMI SQMI Double 8 The area of the county in square miles. Esri Calculated areas for the features. 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. iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvQeUXNd1Jbqr6lXOoXNEdyODAJEBkiCYSZEUKVKkKNmkROkr WFl/1ozHHtn+f81aY3vJHsqevyx/jTwjW4E0SZFizgEMIEgi54xGNzqnyvG9V/XXPrdeoUFJ9MiS 5ktcvlzNalRXvXffvffse8I+52qT+aGazWYDW9UEakYV1WoVtpodfN/lteP9msOmIZfL4fnnn0ex UMK9934GHqcHY5MTaG1phWkCToeGbCEJTbPDbrfj1Kkz+H/+299j3br1+P277pLrOJ1OwF6DaZoo lAtyb83lAFCRv+u6Dp/Ph3Q6LX+LR+I4cvwInnrieXzuc5+Dw+GA5nSgVquhVjNRrRnyXtXmrL8H ubbN5sDgmSG88847+NSnPgVbje/Z5Ief42f4/FYzajq8bjeee/Z5uJ0eXLX1KuhlA3pZRzQURgl5 ZLNZ+LwBuN1uAHa5jmFUpb8w7XI9Xvfdd9/Fvn37cPPNN6Orq0ueyabV4HV7UYOJ2blZuN2qvzZ7 DV6vF1Vdg6Zp8h4/z2vxuTiObPd9+y9w3bU3YtWqNXDYnZiZmkU0FobDYUc2nYTTE4bNVpPnA6qN a/P78plKWuZQ/m4ChmEAVVv97w7o1TwA9W+7TYPD4ZRnNGWdADZnRfrEH16bjdeSz8t3/JxWdV+o cbWD4821Y0O1asg9jVpV+u9warDbHdD5nmGgbOZkztTzqme2wSF9k/5VUo37mqihZlP3r9nVmtbN Yn3+1c/8xs+5HWq8rf6/93O6eX7s5HXeWMr6hwM2m5IVjo/VT/UZO0y9Ar/fL9ecm5tDIpGQNazW iix51Gpq7fHJIHLnaDyzxxtEKZ+F3+2WMUunM9AddsDtRbJQQNnRjN/lZrOGug4zpowHYFYh66tK CJjXNI6vwisOVA01vnIhNgb9/Rsnulgs4uDBg/iPf/hHKJfLSCaTiESiXD7q5tBF2AyjhkqlgrNn z+La667Gh264GVVdRyAQUNeCiXK5KBNcqZTUQtYrAmYup0cm0+3yigAXSiXoFRNmfUFx8VqgI79T 6Gx2mJRCKOHkdbgI3B4nHBoXX1VGyGa3calQjFCr/9ZYtNUq8rkCjIoOn8eP2dlZHDtyHJlUGl1d 3UjlpzE5OYm1a9YLcE9Pz6K7uxvFYlnutah/CcLhMM6cOYO3334bN9xwA+LxuIxRS0uLjM3YxBh8 Pg88Hg8CPh/MmonJqXEEfUHkdb3xTHxuq4kwl8tyvYceegjxeBNi0SaEI0EZY5dLQzASQbWqwFge pQ7ICpgN1Gp2mRcThoyRJTx2qFUyX3gFxG1V2O0cb9QFsyr/1Ro/1urjOEL91DeLhsDLhdX77I98 mu/XBE5h5/sEg/pKVvdRgKKAV/VtPsBYfZWpm3dPtR5Uf9SmVP/cvM+8F6jmg5X1HUuiajWClNXn 9whe/Q0B5sZ9ao254qbGDYhzw78FvUFMzk4S7uR9t9sj85nLZ2Wdh8NR+L1e6DXVP9monBq8fj9c Dg0VzQlHxbBu8YFq1fd5Jk00DPlPDTJ3KWui/hfwSiaDwjcxMYFgMCiaBYXL5/ahYlZQLutwmJwU N9wuF6Znp/HKKy/hssuuwKlTJ7Ggq1uAJV/IQjcNTE6Oo6W9RSYWdhsmJ2bgcrkQjUZF2yLo2KBh ZmYadptTJpmyJFqNXoVZNeoaidr1CUxmtQLTtKEqz+VApVhAKZ9DuZCH2+mrg7UCaAqsCGJdy/J6 fCgVinKPSrEku+TExBgmJqYwl0oiElcgdujQIfn+4cNHceTIEfT29qFQKKC/d6GAAgF9YGAAq1at aowbf9K5FNpb25X2gxpm5qblOhzLqdkpBLyxhrZjtflCd/HKVTh9+jQefvhBfPazX4DTFYRR1TGd nEE4HGyAj/VMhqk0IktDsDlsqMkKoaZJbc4Jza52eDa9osBbAYLSFNkVm90Bu80G4xdoJue1loos JEsjlHGWv0PuW3OIQtfQWrhp2djPmgnTZsraUBqcIX3i3PJSxA7RmN8zHlYPGl2pWuu5rkXLJqrA Ul7rWufP077Y7HauJQXySktkZ+Uv8kzE1fdu7POvRzAqlUqyKbPvlBVuYEVdaX60IjgnNCScTg3x eAyGYaJYzCKZmkaiqQvVqgnDqKg1YLfDgA3Fko5CsQJ48DvdRNzkF7UirWmQ9fFzjDutaiiTyNqd qI9Ym5VSat8ftQgmnIiLLroITz75JLZs2YrWplboVV0ENhSMoFDMyIBzeXDQz507h5aWJnnNzM0i EolgenoaDqcdQ8ODWNDfD5fbiaaWZhw4cEgWJrURLhCaWezv+Pi4fM/r9cuiYB+4qE3TAYfG3ZD/ rsLldgioERyoUdhsVdjskOuLql6hWm+Dw1Lr7aILyA8br8FFS+2D/WhubsYVV12JTCYjz1csZdHW 1ob2tk65R3NzK0KhkOyQXJw0Tbkg//nB+3H11Vfjv973V9Kf9evXY/Xq1YjGo8gVcjhx4hgWLFgg WpYC4apc3+sKycah6xUBPmvMaVJ4PR6MTw9hw6aNePa5l+Byu1GmYDs1BCJhmNQgq/p5gbXT7KIG zVVBUBJpQ82sCgDQVKTZrtmVJicC6nCgVjdplXAbdcE16+NjnF9x8zUsS8uBQdGum6I0J9X7ItD1 VSmgY2loBCebZV6queL9lebCuUDd1Lc+b2lSFwLO+X9z1fP51fxyLJW2xu+c35jeq1lZjffiulHg WzcNxUSuj+l7BbCuWVmv2WxeNt+Olhim5qbEHdLT0yPrd8WKFXBrDhlbfobzzftwLfv9PsSiUVRM Ey6PE5pDE7By2DXYaur5Hb6gmE4fhGaBVdXCoF8AO5qdMEYfhiWkVEEFrTghXLhqYf6iRgGjwH7o Qx/Cyy+9Ij6aNWvWIBAIyeCXymoSqjWae9R+7PI7wWZ4eARDp0/B5/eIXR9LRDE8PIyKqYvQe/3K Z5VKpcTc4kRyAXHHIhhQwAlW3HnVuuPiNMW/Qk2LrVgoy2Kg34P35nZe1auoGWL8oioLWWkUlu9F mS9qZzZNXcxL+m4IjsGgX0CTWmA+n0ckGEAunxP/Bfu0ZMkS6RMX6sUXXyw7MLUyLsDNmzeJhkhA OnHiBLLZDDw+jwAdzcQ333wTyeSsaGEHD+2va2iL5JktE5C/0w/S2dmJWCwmpsTQ2VPoWdAPt8eP 0YkJ2J12xOJRZPMZuExD+ZLqihZ3a2oMjeZ0NswijqHs9pYZaAJ2zYkaHZEUbmoanEvRxs6bQPNf 3/s7oKMG5YNTGwY7Mt+Ms6n1ZqemV5WNjmMvgGSjiVgHo/p88G/KjcEvOVCtr2wFaEqDmt+4GQnA NOwIZfrzY8oF8P6N88pr2hwctwvXhrrv+bF47/PztSnajLn0HIZGhgWkdrz1Nv7pH38gG969996L ZUsWy7rmJqQ2f4KjgXw+i0wmBc3lh8fpgo4qKrqJSs2BvGlHnqa+5rUU5d/ZRu2ajRumgJW1j/0i wHLavWqxyG6hJlBNu+Xcen/AIpAQXAhcl19+Od56620RtOuuu0E0mFwug0DAB4+dgloULYFCx98p /C3xmEyYrpcRb0ogkYjD4XLC6XQgFApg06YNYnJZYCV2fi6HaDSMYDCAYkGXRUVB44SLI1YvywCI aWgCbocDLpdb3adiwigbKObKKOUrcDvVpMtCr/seZIFbGpfDhlwlD6/bI0DB9yZnpqV/bq8HZwbV jvmNr/87HDhwAH19AwLYX//q/4myXkYhl8f3v/99bN68GQsXLkTAH0ChWMAjjzyC1157TczKBx94 EAcO7BOwPnXqhADs1iu24PHHH8fg4KAADndhjp2lTRLgCGLRUBNCwSSOHzuDXLEMfziGiqEjmSuI f89Jk0/mVwkbX0U3qYOWA0prETBpmHLKpyXWT0MzOQ8cog3VfSv2uq/pZ90HltDybgZqdXCxcXxF 8JV5Lp+ig9zk4lWmX02caVXpN5XE+Q5vq39K21HBA+kHX+seyPn9YUBB/s171zU/3p8Of3mS+jV/ UWsEEgh9dnaG9yN4qX6pXxqG6AVjxdfRiVFMTU3hO9/5jvixPvKRj+ALX/iCvPeP//iP+Lv/9vey Xq68ciuWLVsGf8Ars0Lz0O93IV8swcngU9WGimmgUrMhV9KR0e3Q/C5olrf6d7gpXfq8dfeLwIpN s9tcMhnypboaTouBF+AEO/8FPxYBhOYJJ4iawcjIGEZHR3Hs2DHRAuhHcWpOFEpZFEuMOEHMQYLZ 9ddfD7PMKKBSzV0eF3p7e8T3RQH1Bfxoa2mtO+xV1I8OfhWFM3Dq1CmMnJsSDYbv0+HMHYqASac9 NSGnXUWBJGhUY3+pflOX1OD1BGAaxs84cC1NS8CvrIvDXQkIoFe5o9bgdLskKtm3oA+DZwdFc7r/ /vtFC/vTP/1T/PiBH4vfIhwMiLn39a9/XYD05KlRNDU14etf/6oAzzf/9M+wc/dOtLe314MVIQG3 /Qf2ykL2ewN1TU8BDJ+J3ydgeVwepLNFtLR1waza8daO3ehasACJlgRKxQqcHoJxuf48jDpZ/pX6 JmSroVQpivYhmmWNUTtZNuJcp1ZZqVVh8seKwMn4KB9YPUTTGLMLFqE1lnZqZUp7U/6rurYjGq26 inyeoGrUNStqgXTuS19V5M26nm5UYBjno3AEZP4uZl7djaH6o15puln9+VmHOh9IXfu9fjgLcKoN H5gCLXp52azIqEMAr9oIDlj3Vv2zIRZL4PHHn0R//0JceeWVSuu22dC3YAB//MffRNATw/a33sAT TzyBH//4QSxZsgjr1q0Rq4VaseZ1yabpYMSx6oTT44fH5kDRUYXDbQdK+N1uyqiTpnyKSvu1JvK9 8KPVTO7AaulJFKlqkwVas1u73/vfj85ha8EQNC655BI8++yz2LZtm0zO0qWLxeEOmykgRSGlNnb0 6FH4/UHEQsHGQuEOJKqx1yUO3nKlgrlkVr5nVnU1gU67AAHv99aOCezatUsc8jTPEk0xuXY2mxYt hRqaW/MK2Mh1nW753vDQqJhsfP+8P+P8YhVnav09quPUznj9kydPStSRPgUqLBNTUwi5fdi7d68s RitS+ZnPfAYnTpwSMB/LZsR3RUDic9DhSg1RBSgM2WlXrlwp6v+NN94ofec1rr322gbFwKJbSBje 7ZZnZL+z+SxCwWacG5vEX/zFt/C97/8Ajnd3Y+Nll8AbcKNYLqHZqzRN0T41BUyWScNXl9sGjRQB uxN0Dwi4w96gUph2NUaWT4bPLdFkS8MQX9iFoNUwzyyAEICj2W6I5tpYjPL5C7fURuBHTC1+tq5d 0ZQX4FOAZgGOS3OeB6D6Ap+/8fAaF/qVlBicd6orh/p8Kst80DKrZp2icV6C+FGL/qIoIopOcx6o zgMWN9ORkRF87Wtfk3VqOd0tH+zY2BQ2b96CSy/ZgvGJUWx/601s375DrsfNK5QIoCneDJ/bC58/ hqb2PuhOPwq6DS6HC4oc8bvf3t+OO9+0qq0EuyuACjxIl0wUdINqFzxc2HUD+edFUBo/hgppexzk 0DglFEvBo4Z14tRJnDx+WCaKQmt3OTE3lcI3/+hP8Dd/8zdoaWqCZ9lixIIxTCWnFLeGm0ahiEQ4 gXRmUugMbpcfpUIGerkGtysADRGksimUCxpcmgafx4OpiQlUSiXxDVAjo5N+7NwEKsWqABz7SsCg 9sUFZJmLDk0THxnBsrW1VbTDjo4OjA4PC6hEYxHkywU43RrMkoFTx0+ID42qO03VfQf3i0bUO9AD t98lTumFS/uwau0KWZwMJIQDUczMJWFqNvHRUJVPphj9pIlad2KLiUJQrkE3CnDUnKjWdFQdNHOd yKZySMSbYHc4MJWak0Vf1exIZUfR1Z5AKp3FVZeuFjNy/IQH5UoB/oAbE1VXg8pAAaP5PjMzIxoa n0Mvl2Q3P3duSMaJmwuFzOWuazZVW4P/RroGTW+OYzQakes6vV65Jq9PMOXnOH6WGVup1OQ+sVhI 5kXXVcSsUMggEohAq9pl/D0el6xap80JvWzKs07PzUhEMhIOI51Jy5y565uH1+OVDQGa0vK5dqgt czOg6c5rct0V8qX6RkKgmQ9kai1nC1npTzabg9PpEj4dKSncLILBMMxqAZpmg2GU5RnpCihXyzCq JYl661VN/JDsG++dz+bFtziXTMoYV8o16JWaBGFKpQJammIYGh1ET2cnRiZGYNccyFUq8Lh9MB1Z 3HTrNfjwbTdI1Jn93vvOfqTSBZyYGYFZ0rF+pYnevqWIeX0oz/PAzddw52uL7K8V31DR9PlyLH78 hvYuwQz6EetuG7dbA/fMX6nxnnXGgbUv8dXqR/mC68+nkfz8ptngRNW0Qdg4nFDusnDApCrMRd5g dl1wXaXKEapEn7PiPCoixQVM53NzawtmJyfEN/PCCy/gjjvuEBBg6+3tVQLkD6FYLqIl2oJ0Lg3N psGtuTGbnIXfowh3lbIuE+5yeJDMJJHJJesaWBGLFi0S25/RO96XWp74dqJRRdDTvCJgnARei4uq vb1V/kbu02xqGrv37JLvjYzGZfHv2btb/k3Bs7hPfJ8+qI6Otjq4mHj99ddFiHkv+rECvoD4rXgf Zd5FkErNIZNNw+NyiwM+n2XwwI5oOCKz6fMFZAYrFUOc3B6PF5qhwe6owuXyoFAyEPD6xYxKJ1Oi OdLsJNjmswXEIgHRtCLhiJBOV69ehauvvhLhSABDw6cRikTkWQgaBB4CCQGb4MLfp8bnBNy5sKmF +f1qvKjNUpD/+3f/AbfddpsQXdk4ftwUOKd8znyxKH0iF42N2h+vzQ2Ajfwwy6Tl9XhtS9Pk/Tqa O9HX16cAM0Sts4JCqYi816200UwWOiku1K4ME2XdkIguI5scz9mZpNyHc+D1uNUGZ/dCcxRQKRsN sLbMSkuTsgScwSGP2wMuS4IzNwdymCWQY1LDoumno1LRhbumVbgeGG2lT9SJXLZUpyEUxb/Y0tIq FB9uAhwnr88jPig60QuFnEiJ1+NHOp+D30+XQRjHTpwQkGtv6kShUhAu39KlSwWYV967EiNTE0Jg feOV1zE6OoRLt2zB6bmsrK1oKHqBNjtfmWDj0M2nKM0HBH7F8l+yCV1FaCRKYyRv8meNsl+9zacu /LJNsztcKNfs4hcwyUPjYhB+DWnPjES4fgbBLwz7qt9lNy2T6FkVp7ns1n4fQl6/7HKMgJmMzNk0 ERza8K+/9iZWX7wWpWJJzJFyoSz8LcahqO6SOAko7lY2m0QiEZNdiguejnwubgKfBRoECIsN7vP4 kC/mZaEL47zud6DAMUJ8+HAG2VwKsUhE/F3pdBJDQ4MCehRGalv09Rw4cEQEh/4nXkfxwYBkahY7 d+7E2g3rlMlqmkIA5St/SBQlmPLzzACges+IZS5bAGwGorYwSmXyu6qyu4ZDioXPvlCmisWKLC6a R3PJOQT8wbqm6EDQF0bZUNSHfI6AYWD//oPCxqdpGgj6EQqE0N+3EEUjha72ZiRzyQZdYvOla+CE U7Tadas3CbhuWLdOnmt6dlLC7V6fW4iu6zeslQAA55wgJGaymN1ZAaZiWY334cOHMTY2JnQNAqBE Zm02MXUpyAQ0fo59oDnEoAvfe/j4T+ocPr8EXQichTLHwIDmciIUYHAl2ODi8Xfu/twgeF36SHmv YoGcv7JsMGWngVpVrWeLLGzx2BqmXJ1sXCjlUS4V5LlKJX6fLCdlEvOzLpdaO9zYJWLM72nnKQ3R sEdpcDUgGonKhuT3+sTvSYAt5emeKODgoX2ykXIOLdOQboKzZw8qN8XwMDLpnPi8CFTNTS2ybmYq k9CcNrS1tGHhon7sf/cADNNEPB6UaHe18rOAYgGU0irPa1IN3q4ViWtoXZYJXM9AoLZaHyeau7+u Ns8i/1eBFZtm13yo6TVUuJuII1Sr2+kMM5twOxQzbT5qX9gLEvrUiFQdyhleKVLPU/QI7hxcNBR2 DoLiS1XFIU/TY3Y6hZ7uHrmU3xOS13y2hHgsgYnJCXj8EcRiTSgU1I5NM4oTqNJMFD3CpamQMFvD J0U9kQtJ465MtV4TRrvTbZcf3SyJRlg0iuhe0I3FyxaLwBGwOns6VVpMtYrly5cLYNG3xGex6AUE PjL2O7o7RXhpHpJLxu+zL/wbeWbpOQJFBaFgDPl8sS7MJTH/6OCenJxGuUIwpF/OQLlWFg3K6aQG BNF0Xn31VTFlqQGo1BwnUqmMAoxiFpFITFKjKMSbL9kg2mPZ58EzzzyDydkxfPjDHxYN1KlVJFBB E4WCw9ehoSF5JgIFtTDek4A0PT2F3bt3Y8mSxZIl4HDUI5O6MrGpJQiJ12aT8ZidmoZeKqO3q1sx 82GT4EApHhFAH+hbIH3nd2iucd44huVCDX/+53+O//yf/2/xndI0JGAxusx/F9J56R9Bjevl+JGj ePjhh7F4MX2jXiQz6YZJyM2KgMb78ZXjEwh65XkIEjQV+cr55A+fw6EpSg0/XzXLINuMmirng/et morgS8F1uRRoieZl6jJeNk1FrqmNWxQcaqN8Nvpoa5Us2jtasHfvbrlmuVSRtcj10d7eiVCEhGqv zO/srKLq0BxuSjTLM3HjcPv9GJselX5ROx8bG0Wop1vWkcuuANXitinwOS+n85IjLiRl1n+3gEl9 V6U7WWD+ftHTX6a9Fzbm3/+XbZrNrqEKQ3mryJFReCWdr0m+1s+qmeqm57k6Ss1m6otbFiQjaZxQ cd7XbDh3bhSdnd3yGbfbK6pyS0sbbr75Fjz73Iu46qqrZBK5iNQO7kdZN7Fr9z7s2nMAn/v8pxGJ +kWjcrpUOgkXDX0MBAcLnKzGHVU3lAlIZ38mm2nstNyNyQ2jOenxupAp5NDV0ym5iW0drbI4Fy9d 1ACliD8ui5nqNxc8NTyOAzUwEj/p86ImRcDi5wnM7BN3T96vs7NLzOxiUUelbGLpkmUYnxjD3r07 EQoHEItFcPToYVk4oo2VFG+NJgbNs3whjf379yMcisoY8jkIWJrmkn7xu3/9198Ss42Lnoz3T93z KezZt0e0seuuuRVDgxN49CfPiuBy96YgW474M6dO4YorrsDu3Ttl1//Yx+4QesbOXe/I9S+9dLNk L0xOTuDUqdM4cvgYLrpoVYMDx89yPvldXpdASuDn9QmkDFiMj6ssCAI6gYrPOjExKeO4b/fhRp+y +VyDukENmkGSYr4k1+ru7m1sSrlcQSLMDFY4XEqwOF+8Ll+F0Fssyo8yxQpyj7nZJM6cHhTgkw2g VsPg0LD0a+XKFbKGLJOVc0FA4jrlhsS5IOj7/ARARdzlvUivEdIzY4gOBzrb2lEuFIVoXNUN2cAY fKKFsWjREpSKqn8ENQIaibXMjOCYcl6PHD6K1tYkQqGI8m1Wy1h28UqZu1Ao1KCzTE1Nw3R7RGTr dLZ5hF0rKHKeVPveXE/rx8pLtaKelvwwyKByHPFrbQJW/0pzkE1j0inTK0jYktg/nXCSS0g+Kfkf huLj1PPtzt9ZgRZ3B4IAo3iKs0OOCz+gQr00K7jrMOplmUtceBRs2umnTo/iyaefbTjKueuRq0IC 6rbX35TFT/Mhn6+KM5rfE+egaVcOTV1Hqaxiuw6b8sOQqU1fEieEJgvt/0BI+cOqVPddHpQqBrL5 InwBlTpR1AvweN2Ync2JScVQciISRz6ncgIJpoyeCf1CIo4+bN26FdvffksEhwLJBcy/WRql/Jvp Lg6P0D0mQ1Po6uxEcm4WI8OjGFjYi57edjz51GOi+dB5T+EkAAiRltqpZofX7cOa1auxdMlyWdSK Da/8Rtu3v4FvfOMb2HzJRszNzWLHjh3Y8e52BANh6cODD/6kTjD1IRymENjleUOhoMppnJ2V8WSf LZClAFFgt2zZ0phXahD01STn0gLc3IR4r5Urlktyu16u4PTJUxgZPicCT+Hi77wmo6v06RDUOcd8 pVnItcBMBqYs/ehHPxIXwuLFC9HTt0A0afLJgp56FNrjbZj2sUgU54aGsXH9BsxmZuR9AhOvXSo5 hTZjpT5ZGQO8F0GGz2kFOfj7zt27hMTLuWSGBNcTtWm2mZkplEtV8a9NTpaRTM3JpilJ66SEMOXG pzS5Z575L/j2t78NI2DCpblhc6rIdD5XQnNTm/gjSVPh3FFerE2DfeB8c/288/a7ODs4JGlfjz32 GDweH1z2Ko4PDmLRkqUYPn0OpRy1uU6cTWXFHC7l5uVjzgMo6+d8StS8QFk9o8MyGRlUYBRX11Wg RH331++7ugA+ziPqL/U9jXlnRpUaliasU5Xjxe6b0Eg6lICjMrEkzNy4YZ2HY/fCbj8f9qaDktqN 5H5pNuzevVd2VebWcZdjbmEwEBTyJAfl43d/SiJb3Kk7evw4OTiME2eGcOTEaYxMTGPLZZvR2dWG ciUHd02F6G01RmfsmBifw6KB/kaUoyIcHYNuLwELLgZOusp810TA+Vm+J47rmk0c/Vaul8/pkx1b 0oqo6diq8LiUaUCnOX1rVhIy70Un/JHjR2VRUOOwdniLdsDmd/nh1NyIROJYOKCLsHPHZirTFVde jkVLFkqeYWJ3BDfd9CEBCt6DY8XrGLou9wv6w6KhptKphspPkGtr68BNN90kmuehQ/slz/HNN3Pw +0IIBqO4+cPXyvizX9w4bLZOWbAEYGoazFBg6+xsF2AbGTkn5sonP3W3inLpKrWE3+c4UbCoSU9N TmNmelY0Kl737Nlh8cPw2kzIpl+Rzv2xsUnk84ze5uV1cHAY27dvl+vxs+TdUVM9fPig+LB4fYId faOkZZD8yrQk5WuxSR82bbpEBPqGG25EKKyoMqNHhlHRi2KGK/9jTW0emk/6x+9xPC3Qk8XPJPpC AVPTk0LXoLYrpnE5hEDAj0ymHXabt14FxBQzlJoW+83sDN5jdiolY0kSMPvNNWdFDPnjdoUk0qY5 3PCuRz6SAAAgAElEQVS4meSs2Ow09R2OaiMpeturr8n4ka/FDZDPzTGcGhvFazu2Y8/uAxgZPId4 QHHsuIbnZvNSLcLy0VnRUGt9qHQoi8KiZFdpUqYQqCUiWDHrVoHSqiSp4YLshV8NuOp57fXrndew Gtf/VwGWlGORx0G1ZpdqAXT3OutlRywi5XtZvGwMAVuTzxC+YUKInxwfS7i5cDh5XDD8XkWvyL9b m1uRrJho7+7EufFRbL36SmH/vrFju3ynu68Xp04dx6FDB5BoCqOlJY5iqQxyxwK+JjjsLhEyDjgX pCVYbJYmZ3Nokst4duicCAr7JOBSpX/IiYCPIetK3Qmsdn2Ho1UWpmgeNaeAh+XjsXLnUuk5WZzc KSmY1BIakSdPAHMZpuP4Yegq+id+lYBK3+GOyu9RI+A4F4sFpNMpnDp9XHwlBBgu5JnpOWzasBmV Sg5TkzNiAnPcaGZxsR09chzrNq5R2lg8jJWrVqCntwvlkol9ew8KF+7Dt1+jQNTnQTTejng4jpnU jAhXNO6DEypLgc9vRTeVBhaS370+mvFu6DZTBItjTaAjCNDEYYTv5ZdfFsGnw53jR/8kwY7Xmxif RlOiRYIGNI35XBS4DRs2ikCSPc7PEfyp4XPMubHQCc9/uwNu0WjYR4ddhd0v2XwJ/u7v/k5pUKWK rM2zQ2eQyaZEMydg0RwUgPJERaPjv4XIGw7XE6iVkHf2tMNzlFoxXQpMf2EOLE1UrZEGRF8Rf6cp SKDiOqPQq9zSVhmvtWvX4+mnn5WSRTQRO1o6ZA3Q+Z/N5MWE5+e51sglLBaVPLAvb731lswVXSRc E9zc+czsc29PHzKlEhLNrXDCgT07DuDNN9/GwvUbUDQMuFm1YZ7f6byzXcmsYeiNUj8cZ7FISqWG vEhJKdHEFB/yQrD59ZuEv2rTpol4GomdHthM8r/p2KLjyoReLYjD1U6iHkMukmnqRNXugm73wrDb EHKaYjYw5GtUCHRVuJ1ULVkLSMc1d34Ujz74MP7277+LLRs24fprr8PU5CRaW9plQmJmGlsuGsBj Dz2E4fEkbv7Y/4E/+7M/wUVLFuKu3/sUpmbS+O4PHkR7SwRf/uK9iqsDA85aFnZzBo6IiZnShGgf FcOAPxiCTfMIHWOafB27E//jBw8hWTCwcu1G2YGf+aefIhF0wzQewLtHTglAGJWS8MKmJ0dx9VVX oL+vF90dnai4k6i5apgr5uFze5CjKh4IIhQIYOjsWRzYcxg33nQd+SGwO0zykSUhmlQEW9UJzeUV kOHfyPoOhD1wex0YmzwH5hhn8jmJquZLRbjJrSnr2Pb6W0glMyJchfJrEn0l6KxZs1bMMGqM1NDy FCRnBaGYX/LVAqEIYolmRTqMR/DWu2/gvr/6rmh1NO/aO1qRzjIdKYRyEfB7IyjnIb61wTPDQlpk LiNpIvRVUbAOHzkr5FYCxRVXXI65VB4DA6246ZabpcJG2B/BOzvfxa0bb0E8oSJ6qWQOvX0LEE80 YeGyRfJdPgsBhuBxcug4Pna3orjs37Mbe/bskb+znwQrCgorUEjOZHuvCJcy5zQBA1I3li1bgh07 tuPKG64UYA2FEujrW4JXXnkLdntOFjezOMxyEkwhpWAzKFB0FOUaK1asFKDv7+rHmc5T+OcfPoBP f/bTkicZjyegVw1k8gUkwozgBoS7VuFmWA2IycfItlXTiiBALfe5556T9UUg5qbA55ubzKFSLKO9 pR01g/XlvHDTLNVtEux6/JnH4Pd4cefH70QsHMNAz4BwwlhlI6T5kczmcHj3Edx222LRfNdvvFju U9k+I2b2nM0l/s1EezuGz5xCorkZk5NTiCXiskFMj40IgGdyOekX6UtHzpyUlC8x7Q/swJ0f/wRy 45Oo1JwINrWjUKnCGXKgbM6rV/WvbSQpSxaNstKEiEz/Xp1Y+8teXxPLpZ5g2nCqixqnUh90oypM aBdLjnA6hWnM/D2bABuBSuVQqXpKTJBVKT5UVW3obGvCJ+++Gwf37sfTTz+NSCiMVStXitbCic4Z wE+fegILlq2GMxBBVXPi43ffi2iQFG0XitkMCpk0xo0CkskMuttbYZRLmE3lUTFtKKbKiPnIfg+h SrStOZCaSYqJwgjc8y+9iKUrL8b1t1yNBQNdyOSqWLawD+PDpxD0uPCH37wHtqop/otwwI/hwTN4 8YXncOjwSSm019vlEa7YbCEJHZoI0u5de3D44EHEY01Ysng5hocmsH/fPyEY8oswMILmcLgx0K9K y3AnLRTzDS4OTRefjwx8U/hlbAQFkm0JWNRefH6VghMM+jA0Rx/KNLK5tIAX/UmkWQjxVCdHqIKW phaUKqWG47+rswt/9Ed/hOGz0+IvouN+1UUXIZ1LwufzC4XjvvvuQzmvak/xmmvXrsZVV10uG9Dw MH0pE9i956hkLxw/fgy7d+9C74JuIZU6XTYsahvA//v33xOfV39/D7ZvPyTPz3E5fvykBBgKFT53 XplHEtUsClBwk+D7qrKFAjMKEYMY1OQ4BtSQH337UYlUUjuiL4yvW7Zcis9//vP45je/ia3XXI5E LI5FAwsxfHYIay5eK5Hdnu4F4psKBpzo7+9ndp64Pqz6aS7Ng9HxUeFBbVi/ScbouedewA03Xiva 4lw6KWA2PjHe0NypJbNPBFBVw8otuawUfP7Oa1Djt7RUajX0h772+jbceOMNYlEUSjnRMGdn56SI JKOr666/HgN9C+HRvEhns0LlyKQy0GuGjBU1cq67/fv3C3BynOjIJ/hPzMyK7La0tcs9W9s7cerM aXi9PrEAsrMz0nf2l+uJa5Ga3tTQEPraYlI48Z1dO3H42Bm4wzFcduX1SHT2CBctnQeYdPLb1DRy o6yUBkudtNI96aDNmzW4SVu021k8CzabAQdD67WSRBJRtUseGP31Uvmg5qxnuJv8E+ZmZpFOJpHP ZBvVMj2sEVQpw+Vx46mX9+HI0AQ+8cnPItESx+h4Uib60KEjeOLEUfQkYvjSFz6Pnp5uZHNJvPr6 Dhn0mZk5PP78NpwdGRNTiZM1N5uRBUkfHE1VCvMNH7kJ69ZvRjKVwe5HX5BITzAUgXvBQsTDAeze cwDr167DiZMn8OCPf4TLLt2M/oElsvj/+r6/xX3/5WvI1yDJzwztv/H6mxKgYJLxdCqF5iZGkpoQ WbBQUoGaEm0SCU0l05ibSyGTTaK7u1N8BD5/FOWyV9jkzHus1ioolSoisPTjkH5AsGHakIyTxwfN Waszu331qqsBEYinnnoGJ04exa23Xasin8IlS9fZzU4Zj77uPrQ09Yp/8Nt/818lOkpH7b59e2Qu PvnJT2LtxWsFmEjE7eroknUwMj6MbJbakh+zSQYhvFiydEA0Lz4rwYcJzZlCEm/t2I7e3m7s278H TU0JLF68SJzzDME//cxTWLR0QIScADsyMizCZplfHK9yPCJcL84pTWvLz0jTi4UWL5FgwpxEnalZ 0cdHUCQwkC/23e9+V8ZlcHBIHOcEykMHj8gGQPOqvS0mvqHOjm6hfZCzpvyYVRFg+iJpvnLst73x mpA2e3q60NHux4mzJ9AUaWq4HCyHvQVeHAdSQ6yoLs07fo4ARsZ+vpxHcmYahWIKCxf2C1jR+U5g 27vnMAbPjOKue+5EOBgSpYHv+/2MOs7UNz2HbCSqztphAVKLv8WAFe93+tQToj0HwyE899zzcNqq 2HTxCtgcTrzyyitYsXSh9JnPyHXAvq5btw4zk+dQyifF3CTopQs5JMJR0TAlsGC44bD/Zoijv0rT xNa1kjvPp3mJ7U0tqWQy4RdSk9LrsMFtp1+KrhfmuemoOYKqMBz1PKluwDxAlimpocr8N0cFr7y8 TXLyPvPZz2P1ylUomwbOjoyKo1LXgrjs8suhl4t4/dU3sOvdnRg8eQx9PZ3oaovDY9Pw8D8/jJNn TsLmsGN0bAKHjx1FOBITh/OxMxOIxUhSZGK0LgmqTMEoCssZeOn1HchUasgWKjh49LgId47RnnIe fb298PrCOLxnl7De+7s7sWLRAA4fPIBzvB/L27r9cDm9Uu1xdHwC215/Azd9+FZsumyrLPyQxyUq N4WjWMzXhdMUTYF5jr6gT/IP47Eo3B7lcO3sakc8EpWxnp7L1H1j56tsUtgpHAxgMALKAoQVXeWl VXRF/jSMEm655ca6tqW0LC5gCrT4jiYmFPHP5sXqNavwpS99CY888rAIzmc/+1lEomHZGAqVrJiU FIpkbk7oHvQLLFq2SIIjfQOLBUTc7l5093QJ2NDv5PZwU9Ll+VatWaUCI+WiXJNUgLHRSXT19gg9 gZFeBhb4SmD6xCc+0fCrkInPH0mDisex1FBUAPYnIGkyRQEG5S/0yrNyjCenZ3D5FVfi4YcfwKZN m3DP792D1tZ20ZxYX8ztUv7Sba8/LyB5+NBRoZ+sW7cBiXgChaKqaEtiK7U9Rj8PHzqClRdfJNdn RkV7W4fUS2O6Trmk14nRBcm7DPuimCxOqvSfeh2rSy+9VHxRBBBqggTWmckpsUBoXvMznMM333wL szNzuPOOj6G7vQNT01MYGx6HrtewoDcMnz8oG2+xUMTk+JiAr5VzWq1WReM6fvy4uAW2XnODjOtk KouVazehpb0NZ06fheZy4dIrr0FNL8vYEuBHpxR5uK27H9OpPByeILoXLkZbRxcS3b0Ix5oRaYpD N3WgbJeacf/LSX7/m5qGGolX81C0no8q/AZGZYTnYKBkmDDdDtg8GrwMcVQZZTBgczGD3pRE5ard AafbwyJKqFQNlCom5pJ5pHIlfOy2m4Sj8sJrb2J45BzSLIBXLuHWW66XBfUfvvEVmQQmBrmdDpzc 7ySJAHD40N7ZIVSERKwZN264HHc3NcNTTzPp6O1EU1NLg+hJ4CIAcFKFAZ3JoK2jHZFYk1QGoKlx 5tRpTE+OSYpHhHNi0vdUQzQSQkdzBEtv/RCu27oRE2PjqJQZnnZiYnxGhuvqq6+V3ZhRXy50zU6T p4BUbkKoBASSql1HrjQDvZaBHSHsO7BfmO7+gA8rVrCESAAz6Vmph9XZ1ic7q+UQzddyCmiYU8h0 IqgoDnPogv4eEcZzk6M4NzIsC5hmARcjn1mCDFKNsthghNttbgkmzM3NCFiRc9XRqSpDUEtIZaeF mmLl/hH0AiRRVquYJcM+EBLuEcvizMxOyXeaYwmMTY/JmDPQsnbDatG8CFgUXtEMXU50dyyQ3EFG 315++UVcc81V4lxfs2oNMnnOj45QNCR9J3Pf7XMj5otBg4ZsKYvR6VHJUSVfjQBEzZMLlM/JexMQ CBgbN25GE3MPZ2fh85nC0WOFEAIBzVlG98ZGJ4QLRQ2M2REdHV1iOnLtkIN29uwZbNzIQECv8M5I 4uzr68X07EwjeMS1Q3CgRkwAJfhYtdc5XjQ9H3300UaAit8bGRoWjYjfZ1R3374DiEbj2HzzJejt 6cX45DAS8Wa8vX0XfF4/XnrxVdx44804ePioiOPQ6RNibpK3de2118q8kdBLc5c+qbmaF93L18l6 TKeyCEWiCHcuESe/BMlqeqMQ4+U33ykywbWxxBMVras/PysW0fTsHBxuN9xer1T+YLbLBWUTfkua xqgUtZKfm+NTs8FgXfQaa6QDNZ3cUgfgrEEToCNrjUXXTBQMAyYZzqxI6SDFoIYyUwdsLuzcc0hK 9zolodINXyCAR5/5iYSxn39hW4Pgt3zpEvn72tWrZFG0tjQB3pBESmLxFkl2kjpdDtbgdyMQcCBZ pEZCGgOL9RWlMqMWDCEWZIjZgSYftRgDhZJiQ5OQt/nSTfKMyWQKufFhIYXqlZLUG3rw4UeQiEWE md3W3gK3hxUg/Ght92NsbASp2bQ4camRmeUCDBvNrJAIH2kRZybOoK+rV0yjeDyCuemqLDYSDLmb M6pEgeAi6evsx/jkrNADuJCUj0RTzG3NhkKxnmpSLkukicLJ705PzcjuT+GnaTafsUySLK9lVbRg hIva1pkzp8QxTC2OIMf+T01NIBwLqIqsumKhk+dFP5oiAnsbLHNqkTRHSSAtRyIylgQOwyyjo71N onTUHMO+FiRzacnXZGAhEozUTfgZ0XAYQRwcHpQ+U3Do5LcoIHwGAiubSoMi980mqUkUQL8vAJ87 gJnknGxe23e8jWuuuBwBH32HMwLc9A0RzDimiVgTklmaWX7hQNEEZNFIaow//OEPpS80t8n2Z901 Or4ZVStWizLWBEiZKztrUwWFsMpKCnz2lpYDovlZkUcpbxQOS6SU76mabVGcOXlanvvA/kOiZdJn ed1118Dr9mN0fATNiSZVKJFBo4ohroz9Bw/j6NHj8Hh9yCaT8n2CntPplKgsX7nJE3BSRQ88Qa8U DdBCzSC3lqXeaV1YXCvKx+xsGb6QG3rGi6m8AYc/gelCFYlwk/AUg8wplixlJ+yayqigD1qqDf0W NY3UgPfmF8m/69U2xJvv0FC1ayiyznbRkHpSAacdHodXonEmJZhRGKOKPPPVyJxnHSqHG8F4Cz50 y+0Y6OtHPBoV0ylXKOD4uVFJdl2xaAXKlZLUveIi5UDF4gm5t8PlBg9pKRTpuHaqelbMD2Niv1nF +AwJfh7AZJi/JknTbtYIsgGlEutY1XBqtiCCkWjyC5cnnzdRKJpwehyIJCJoaYugkDPlsAvCYZha QbmAgydO4v6nnoc9VxaT6sYbrxcrWPLpTAPxQBC5UgY2D3lVBRQKFRwYPiC7fjZvYMGCbnh8UXR0 +5E8lMFPH39anOxf+eqX4PeEhck/PDWBnpYeWXzKzCMBtywAEnT6xTRkkq0w2x0qP05zOHH69KCY P1zgrU1xzKZnG6WjrXw1ai3KD8bKCDk8+OCDktStDsCYFX8XBTaVT4qWQCEgv4rARVIqOU98z6vR xNVFG/nyl7+IeKxZVefQXJiemkWpUpHSvx3dHRgcGhSwCAXDmEnOSMSK9c727d+LueQsHnv8p6J9 ECD4OQJUOBG5oAaZom24xLyiT4o+Gfr7GPEi3YB9lKoQ2bQAL/tFk40/yVQKLc00zcsINUVEG1Fc QUWWpf9y16498j6d2PQbMrGeJjI3CgIZhXVsfBTTc9OiYekFQyJ/Fi3HSiCnBs+xFu2wnqNJjXvD hg2KzmKolLXZyYxUXjjjHhYf4NatW4RjdvTEfpEFMoimJqeEFByJxXHVNTfI/Hp96nyEpQPXCNBa bHWXy6WCCPXKu7Uaa9ExUqmqURiGoiLQvBTAqbKsU507yNLxFfpMWaKIIFbDbFpFO4NhatUK6Chn VFJ+G0sDyqk55w+ImZedWG9SyUhTyqGhO5AvV1Cl492mTqGBvSrqv9OuocRyxEUDOrPe3Ta4nC4Z hNs/dgtSczo8TifSuQJsLjf+8D98BVOZqoBFLO6UMDuFvr3VhbFJE/6QA8UqEHAC2bQBu8cpQEVN irsJGeC1EhB2ukXjqRg8bKIKZx1oOfDE2lg8JK6hmWRFopg+H3PVDBTTJQTDHtDIMKjW009lB1oX LhWmft9Fa3HtR+5EqFTB888/i//0J/8X9EoOXg/rvwOT0yMIBQM4fnwE//C974s2MnJuHJdddhle evENrFy5DOdGzgoPae3atZLZn0i0IuAPYXJuRjg9rc3tyBVV9QMrcZe+DjqYVc1wPgfrrHMsVdkX AgkXNFM56NM5fvq4CBTNGcvZzlcCJ7UisrQpMH/1V3+FTZs3ikZBU545arye268yB+h3o4+GJVao hVIDFKZ+vdbTV77yFXzxi1+WXVtpgMoHtf/wfpXknE2LQ59Cy4BIIt6CY8eP4JnHnxYh+da3vtXg ZlnVYwVITFXCWmm/oUZEk59j9JHVKMQkc3gErErlKRmT5597Ces3bhACMBvzTltb2qRctd8XlGAG zVmml7F/ZweHGxU9CIbvvLNTAIrgQgAVQPK7UDHKAlgev0fG1af5RDMiUN32kdtxzdXXCtDT9JVU noAipvIe1PD4OxvvIybk6DgO7D+IT3/mXqxZc7FsFKze0NWlCLyM4PB6mWweXlajLVXQTjqNXkWx nqNIoGw4+XXFq+IccIxCPG1JNvUq7AZNIBc8bhvswsNSh4Wk50oSWffHIjDKNuilCvQSI4AOVB3c OICSgJkCOa8XYKVs/vySvM7/PYAl53/VGbDz843Y6CDnqTdOpjJQvfTY4ba5JRGXhQema/NLiLlh 8wrRXBoXFsEvkwXsTqecMOj0K6bxXJoeITtCfjuMEtNqgKDfBeY4R3wO8fKzNJtZAKI+r/ybGo6P Dv+yCgIEXGHxCcquwANFHA4IFYwGDcGUm4WuwNZbz0PjZ92sq8TIgQG4+WN1f159bDUKDsy5vVh3 0+3YdNPtSLP+1c4duO/vH8XCvg5cecUl8MajCLbH0dPdj3u+9AcoGVXEFi3CocPHUAv3Yl2sCxNn R6Xa6u//wRel3E5XVwd0owSjkpdDMyTxWYpZO1DIk/iqoVRUlQI4hlz41JpaWprx0MMPCYk2FPZi 7753Ua7UcOLEaUxOJeu13ysCShQ6mg+9PQswPjUO29Eaevq6EAh6RHtYHF1EmiRsVZbeUazzgI95 mSZy2UkBFVIv3GZIHM5/+61vC5FTc/EwC/o089CNMr72H/9EeGQ0Dfl3BlvcLh92vb0Xjz/+NO68 8zb09S8Q5zv7VbPpqNnpRqhKrfiALwTdAWRyWczOFRAK+bBuw1p8/3/+E2ZeewPlEjUbH86dPYe1 a9YhOZuCWTFx7NgJqfBaKJDwCkk7YvYENRAGDqTwnsOJXKmeWpWICW/NF/Zj76F9mJgdx8WhVWgO t8iGQWY7gwrUcMkYYgCFXKZKIY+An5FvlrfR0dbSLPXXWPeNZiDHnKafRfSk5sj78Vkll7S3A5df tUX8T7liBrVSTUi8DHBJvmOtipiDviOX/Ju5vZFoAM21TnF/OF083ose1qqUQmpqiou/OJLwoKgn 4XVFMZMqw8bcQ7cbLslS4WlHZdg8djhMJzSnBwGnB9kcZeQ8T0Gk05QYi6x9l6ToAHq5rrL8GsDK Oq5EHTAhJWZVWZt59bF+mabNNwPns9gtwGLOHlm+lCd1Cp06VqBej5RPiQ9yo/3PjctlA7p742iJ 34TTA70YPHUUjz75PJYt6cfirsWYmU3hiYceRTZXwsc//nvoibbIwanLl/Zg65WXIxj0SukQOqBJ B6B/rUhGuZ8lVRSbnjs6o4CWH4uCRActtRZqHqzSSmcro2xWkbVcbg4OB+eshlJZ0SGaW+LweJkb 2Io3t7+Bj370o3jnnR3YufMdScWh5nVy8KRoHJWyMjNUeRVlRvoDSmshgTFX0RFNxOG1+zGbnkE6 k4Pbr6mzHZ1VdLd1YHJsHE3NrEZREBPH4/bj/gcfwOc+83m0tSutRtVB54+tXgJIVfJkjiUd9hR6 t8ONTCknGjF5VsLUZlnpk6fx5mtv4t5P3YtoOCaARW2PY7Z7527x71BLIVhw3CS3tV4DX/PaRavh tficpm4IF3DxwkW44/aPIuRVfDASpEMR5i3WsHT5cjnExOv3wCiWsX7dRqnnxk2dWiKfk9rpQP8i 5EpZuaflM2SzSvFIapVhyGeTmVnpA6PE7B/nmf1zajYpRlnIMNmdZXQ80E1VdywWb0KpSJoPzVAd YWq+dhbVK4mJ/PRTz+JTn/v3KOTtyBs1aG4bsmkTdi9dAW7odvO3Lsr3qzYhjr63nvn8Hy/tQanR xxNM1CkhPMFDanv91sUQfv2tykNkzBpyuol8Hgj4NCy8aAWaOrowPj6KwX27xSfSv6APW2/fit3v 7sRPf3S/LOAFvb1Yt2kjPEyCLWVlVydwpTJp+P0MGgSQSqZEgyIHiTwZHqRJfhIXv6qAoEL5FApG mW699Vb5njVf1AIW9HXWcwNVRKu5RdVUosCQC7Z8+VJMT0/i+PGjQrdgKWmaqCSqsnijRdxUmkZA ggSce6YDTU3NoSPbqUo8h/xw+pyo6AUxZSt6CSNnhqEXKogGosLuz+dzeOKxR8XkXLhkQFR4rhlq DxYPj0efkWhM34m/NaiKLtJVYFc1qHhajsfNcwBUuhA/xz62N7dLfiH7pgow+uS7fCaOIc00Vb1U 5flxTBctXyQMcZpUVmkb+jRpVtN3x4J/9qBVHZVpPuosQYsAbR2tRk2XwEuOmRQi9NXrcNXPGLB8 SryOVfEh5AuJn+qFF56TI/AY3JGka5dKeZNoItRp2jyZKRyKwaiSaqKjaFZx3fXXo1XKijvl2TTN BUMnT4qbjE/qsd14yzScoTBqpg6nw6XSbdxe8NxhBr4+aPKp/Tywmv+7cPwkiKiceUySZrPcXY7f tmSjX3MrFyvw+llOhFoPwLMrnVzUkTDaPSH0d3RLiRZSB+7/ySNw2Vm2OCcVB/bt349jg4exfMVS MSUGFi6QWvldrV0o6Mp3FYk0CxiQBEk+UTaXkQgehUudEqwiNn/5l3+Jr371q1i9crUkZ6ua3xFU jKL0M+D3iSnBzAPmQfIQCQrPtddeLUBG0OJhGBYo8bxIHnzACDEFmPdKpwmWIWHVS4Lz1BT0fB6D J05JmZw16zagOZ5AnrHJUhEejdy1frS3dCCXKsjZAG/U04q+8IXPSYqSx+lpVDiQE7xpstX9Lwzj GyUdXqcXzqACZoKUcoCPS3nqmk0TUJAy1sWszEc4EBbipJXozH4SvBjmV8UWVaE9mrULuntko6V/ ie8zrUoc5zRLairf1W73QGwp8eeaqPEQFN2UnFpquKo2GR3tWekLmfwEJFasiCRUcUH2z6rFJqlY DC4khwSkCKDiwNc7Glw7dTCsDcWCOlyFlXE5HplcCfnJGfmeKlfMcs0KGF31Kic+bxCRcBQLevvw xraXseGaa+HwhgScfFIFQvmjWMzgt9Fx/isDFtt7i/NZgEUOGVs9g6d+0sl5+/PXV4/wt7PROWBs A14AACAASURBVM4xMMmmkNK56uw0ho6Nmg2J1gD6AhcjPN0B2/FjOH3qGE5OjOKaj9yMjVdvRXpm UtJcXn39Dfz0ycdRNSu4/bYPY8XSJZK+w0gXf9QhrM0ipBxhq8wHNSwuVNICGC1i9I2Ll4IqKTxB p4pWVWhuUPhqCuhYbcNpF23IYl9bNaBofvF6rS2dSKVnVNHF+hHqpDRMT6nEblbxTE/MCk/L1uyQ IEelYKCQLcNp9yAWjUCvOpDJ6ujoaELFLOPZZ17BH/+nP0RrR7MIJf0+FF5qSVbuHQWaz8Aop9fh RFO8FWeHzyHWlIDfE0TVVhHNzOWwI1dW9bEYGePx7jUzK8/DIANLF93+kdsl8ZzPxHEiIBNM+B3S MRLNCeFcxWNx8XFJPX6/H9u2vS4mulVGmaYgT2FmWhIr1TLwQbIwx4w/ZJEfOXJUAJ5seIvSkC0q jY5zQV4cNxECKJ3lHNNYNC5aG0+UYqDCCnoIeDPFycEMBlOqLvAUp7JhYt+hozj02BNymk5xckTM UJq8zc3NiET6RDPkurjqqmvwxOPPYBmpFMEQygVqh0zqpk+wDF/Uw0OTPlDtAgfUzzuqqVHBU46F o/NPOcxUzc8PflOnLrPePRnWmjpNiAczeIBgBDh2egaL+xOwe5rQ39eEM2MrcNl116KjTTlzB5Ys R6ZQxi2rVkmN/COH9uHQoRMI+CNYtXQ5EDTFZLEKqFlZ9dZcUCtgNIsVJvg7gUrC23aXLGRWTa2a qma7lN6xqXMZaepQkKg1CS3AVhVNimbnwMAi8ZXw7EibXZU4Jp1BuFeaisbR7JDctEibkB2ZKvXi y9uxYtVKLFo0IBS8qZkknP445nIGQhUb5may6B9YgbaObqSTU8KEZ92teoE0aRRY1nviM/E+ixcs EFPowL6DUvOJZudcchId3U3QDVZcCIhpx5LTpE+QW8Xyzoy8MvKZnGVp6yEJMEjuZ29vvZqCSr1h kjLLZctRYwbLBXngdTEB2Y1cJod4rKXOYTOE0sBDX1kHjpoW/52cnkE6nZGSOR+9/U6pUc8ILPlU 8Wgc5VpO0nCmk4rEysgmq4KwfwQwpnLR90iw4nhSaniAiVWCmQUbKVwOzS2/k7vIMWLFV5q9ay5S mQY73n5TXAKcX4Lx6MgY7r77bjTFw5iaHEOgvQOlsomQm6WN1Fgz7lQvXvKBadp7a7VfWAuH0Tb5 l5yLNl+bsr71QQetUpkkVQeiXnWuX6HA3L4i8mUbzLIHbU2sQgqcGxpHT18bAv4wmltI8ARcXiCb r+CHP3wQx44eEkJsb2cbWBfx7R274bK74XKpmkgKbOiQpomgOFByfwnPBxqhbX6WZs/ZkbOiNdFs 4SJmZQw5fBT0xbBEDkuYsCJmtEEq5S5PYeLPypUXi/BlssrvxZpd1Ph4FDrPbpycUEnT3/zJfeju 6hPeFzMXHnj6JaQfeFjCLxwPpkD94OHHkEtn4HTYsWJJP/btPYxVyxeiUMzOO7GH9fzPa458LhIx H9m1V06sTsRbsWvnXhRLOaRy07jhxq2IJ4IolDLKtKtXOJWIqTeAvt4+OZB0bmZO/Ho0Dx944AEx ae+88045L5JpTfwuT9hhSSPFNSNBstrQ9hRJVm0M9MWxrhhPzmb0kUz/556i7ymF9rZOGW8ShGmm E/ynZqZggM5yv8wP6RikkEgpHHLgNI/QHvKFXIOsy7lz2G2SscBCgZFwswAWn41rRjdZLtsjpOBb b70FrQFDNkxqdJWKjonxKRk7juGVW69GSzSOHUePooV0HCddAspdw0gkqQofOB8W//d+oGWddsuK BnImMk8IZnUHmvz82Ac7SCgEO+5YmYwBs1qS6pphFnEjWJNqUabZ45CFUy0Bbrsd6ZkynB7yw9yw 2Uz83t334K0330BzPIKhwTNob4nj3Xf2yEEb27c/L4LA6JGw2ivqFBY2KUYIu+S+0c9FoGGUj4uf 1Rh49JVuGo1QuioTXRXwoUal8vAy9aqSTvT19wqIMd9NDrwo64glfAosWbKRkbUKnf1pccjv27cf n//3fyh1x/yBCHw+N/JFE8k0nceQlJmg24sK8+zyRWRmp/DKC8/gpRe3YWLkLBYN9KC1OyECTqKv 282j1oIqOlkxpFzwgrZOPPrI47j9trsk348HjSyPL6oX8bMLMFh5hxJdK+sybhwX+v3oayIYU8BZ sZWOaNIdGDhg5VqrdHajyqfURyvIe6pelCH0DZqEerEigM2zDpOVpCRNc0wWL1oqm8a77+6qH6yR E0c//5bMTsn4cw55ihJ9Zb//+7+v6tynFYtfCv75fOJbJBUkXWCZ7Zo45KumJpoUTyOnU92uNAQJ TKhMApYmUptlS0uzbCKkXDCRO5mexeqLV+GHjz+JVdkMmtsTkvtIdrrXB8zmyvBzLXyAmlRw/1m/ uRUlZHjkQi+V1BVVFVXrEdMPGoZf2Fjoj83u4NFbAfmdCeGNR6/TOmwOVkFVbzOkzOYgwc9mYuna NUh0tEmSdTSTkpNzIsEwtr3ymjDAuctfvHq5nEPo8WpiEoT9YRFqpgtRwFj3nrWwqEUwVYM5bVzo TDJOJJoFaAhMpE0USxmkMzMIhryw2T0SbWT1V04oo12Llq/GP//kKYSj7+Du37sJrYk4EqEYHFWm ablg16IYTdmx7vp7EI2o473YWImaJYVYwcBqxSIHww5XMITmcAi3ffqL4jsie//RHWNYsO801q9f g87uJqlaUC7l0dwcQnNTRLSYoL8VvnAUgagPazatkIRbJeRqUVZKBlysfMCJqFURjSlCppGbFc0m FvJjePycjEEwHMDmy9cjFA9h1849eOTxn+KG666Bw8la7SHMziUFUGjPev1eVIyS/A02DRWTRFCV KcBx3LfrsNSdZ+4lgYuHnPJvBMXX33hFAEMVRgzh/h8/LEfNr1u7EQMDfTLeLfEWjKRHYDNdCHpD Ui8tnZxGc1MzRofPSc2wpnpObFtzGyamZxDiSeQmkJlNwg8NM2dH4F8Ug1kuwetxYW56AoPHjyGZ zmFuJonOWxZAd+Rw7dWbcezdt7H0E30Yzerw+Z0oMmWt+tvjYaYPuHEUPZUdcTH98lysD7h+9P9/ 82hOOSmFArVl69U4Go9j786dCDV7sI6Juf2tkgT91o5tKmk7m8L42KSYPXTccma5m9MfxrIgBAP6 dKgBcVNZvmyFmBCuiEeOUZOyPjwiy0n+nEol8gZYu0lF6GiGpVM5XLRsCTw+v5QaJpu9KRKDXjTQ 0TUA3eET5romKvT7NyvxV5l65Do5pbAcNSRqPeOH38Gzr7yG1tYY1q5ZjkRTRMqCiCbjqiGTnUVf f0/9sFZdtCA6vK0aTlblC3UIqy4mFz9LE1CuP3EWbW3tAmIHhg5JDXX651i369TJM/jJT36CO++8 C25XRRziTA6niUhfHiOn9DUB6hRu5ipK0rLdieeeewaf/vSn0dYWQ0d7l/imGIXkc93x0Y81avc/ 9+JLErG85ZZb6of1siSQA6OTo+hs7UQpZ4pWROoCCcJ79+2VxOpYtFmqozo9LtHe7DYHli1biVg0 gTVrFSP+jTdexXhyAS7ZvBGZuRk0NbegvasbmcIJJJqb8Orr27B1y1rRvo+c2oOTx4cRaeoWv5XL rQ6S+aC1fwOs33BjWNk0uHPrCAd9WLvpEsRbO7B3zy68fegI2loi4nBtbe1EJJiQ5FwrwsXk7Iqp N44f+/BNH8Z057SYhIzy8XOXb71UmXwOVatJHLu2dqZ2Kt+jKyh8KVOnA9utyJVFXeotzUwnUaxW MDM1jUIyg5df2IZzE7uQyuvoW7oSA709/yLv0Omk1kaGvXXenzox2OsNw2YLo7v1Qxg9dxavbXsB ew4+hE0b12DViiWSsBwJsSxvSjhp9Hf5mBpTP1CEoENt0DqPkMJN5zMBi052OtdZI4pBA0YByRmj b4cnaRMceIQWn/vwgYPYsmUrLl65WlTi6ZlJifzylKHvfOc7+N73vid+IykDbVSQy+bFlGayNKsi 3NZzs9x/wwZ1fBsb56hQUMUSOTd33XWXgCGd8blctV5GSMPgOdb+olvAgZA/LInqkj3DiKDXqwIQ QyfEhGMtd55fyFOSErEwrrzqMhw9egyPv/gK9Iod61dfBLcziPauLrR2dCDWzPLajL7aBTDf3nUU I8ND6OrtRipHvhu5ZR886+ffAOs33DIZVhXleXZOzCQLouksWNyDYFMz2k6exE9/ej9y2RTWrV8p xdQGzw6JMB86dFj8hfHWuITVGR3kSUB06NIc4Q+1LvqRCG7WAbWsU+UPBEVgeCCFz63ODQz4PJI8 zAM+GUAJROIwgj5Uy2709EbgXeyHyxPDsRNn8dY7O0UDCTzxKG684+73fT662ajJkVKhDuaktnU+ W6JmdyPU0oXPfvmrmJ6YxEP3/wDPP/cKrr36Smy9fAviYR5IksXcXBK9HX1Ip8ehOQhSyvSjhkgg IBgzUshGoKC2Q1MtGgsKkDHKSU2DKU4EdJp31KBuvP46fO1r38APf0Ayb0jGhSbbQw/9s1RNoF+J /xYfk0+NW1OiCXfddafUjf/qV78uFRjIkSO1gBvF448/KffmuG+8ZKM8JzVVdQhHDf0DfXLyuWQv DI7J3wulEgrFnAQvCDR8hra2VrR3t8j9uzo74PO75XBf+qi4Qa1ZexHc0W488uD9OHNqEHfdeQs6 unqkysPQyBDaCdTTaQTDzWiKx5BNz8Es1yQnVuamCsWj/AC1fwOs33Bzux0oV1QCeTDsA4NSM0kD noAXl2xeiYWxMF586Vl4vEHoehXr12/G8NlBLBxYLEz5dEEdFMqwPc0E7vIqxUNxhHiAAU0O7th0 UPM9mio0DyngF6/bgBMnjqOvt1McubxuS3s7UtkiJmfSGEkXcfzIcaEV8GhyVj3o7luIEk8KYhbs v9AaSduaOsNSmYjqbwSyvA4EQz5MzvEk5wg+9wf/DkcP7sXeXTsw+MOHcNuNmzDQN4CST0elVpFT sFVlASZxM0m4S0CLda1oIhNY6M/jM/JvJFXynuLHqxcyVJHOsjpwwm7HHXfcgZ8+9ig2bdwsh7Dy ODdSIJ5+5nEx+1gBlvdT5zbyTMMZfPu+vxFaxD333CPPwuqdvA9NTI4zeWGMUo5N8pSiNyU7gXW3 RkfPyTyRlEuTlfXyqaH5PPR/2pGIMlWJ5FZVTqhkFNShJC6vPFM8zkNVS0Jx4P0mxicl0b2YS+Gt t3ZgZnoCZq2CJcuX4f4HfoTelja4WJ3U7kY+m8HkxCgiTW2ykXwQ278B1m+4+QKsu2WgkjcQiXgQ CZHUpyE1W8BctYrulk709S/G8WMH8Nrrb+HWm66XI877u/sUABnquKiO9g6pdUV/B3duISXSgVzT hHPFNjs7Lbl5fC8YCEnxwcFTgxg6c7Z+ZiSpzwFkCnYcO3oK2WwRh84OY8OGTfjyNbdiQVsUg+fS mJqdkfpkAwv7/uUFVKdjkLZwHqhUpQA5RVqjRkQqliblflJ6Bes2rkNPbz+efeZJbHtlBxb2rUAs 0qLqwSdi4oMj+TIWp2Oe9cbCYnpR05FE5lAYY+NjAmDW2QDRcFRKzjAqyDGi1sIUGLJ8P/Sh6/HH f/yneOXlV+UMx4WLBhAOk+81hf/5/X8QjlVLc1vdd1aUSrgtrc344he/KIDI59m4cb28MvmYteVV nbAxrF6zWjYGi5xLzS4YCghYcZM5uPeQ+BtZUoktnc0LWZUEYTm52elDe1ukUUlURUfV6UByknXA j2efeBSLB3qwoCMBT1urkFtJI2FJ41JFRzbP8x574HM7oBdzcDkdKLOA7QdMu2L7N8D6DbdM3oQ3 oMFd1ZDNlZHP8sgvN7rbfRI5evbRV7Bnz9u4eOVSjE9MYd/Bg1i94iI4aiyrk4Gfh7qyGihPLqJp UeCRYP8fe+8B5uZ5Xoke/MCPXqd3TuWwiL2oUKJIiaJ6tSU3yXbs2E5s73qz2Xud3dzcJF6nXKds 4tR1L4odR1aXZRWK6o0SexE7OTOcXjDoHdjnvB9+DDiiRPpKIofUvM8DAgOil4O3nPecUKmPs2Tx UmmQ88tGkwqPOyAeeDXVTTCbrUimIujumoeC2YLhsTHsP9KP3QeGkUwX0NG1EF+44Q5oJmqZASNJ wFvjg7PCJ/QB7tOdrgtipUSJ6ChNOQeXU2Wo92+3cIkZ8Hl1uJw6RsbziCXyuP2uu/HID/4B27a+ hQUL58Ji4eBAGZ1QgkUAJFmQcozelQQ0ZpjMuAzrOPbuUrk0Rvh/RWlpns+QDYCYkoH58z//Jn72 s38XsKL6K51r7rjjdvzbv/1MSjlehytF3L3ct28P7rnnM2qX1kE360lRNI3EIli79nKR0TFoFiyd eZ/UHCPAkLLhcNrlmMBJ6sX27Tsl62Ozn9wwAjm120g5oSzSeHJCbs/Qs+c+KUGaMTxA3a9B3PF/ fVXAf2iwD00tzegfHMCyJctl7Yq9u+BEVBQkCHD8XCVl7ejCI0rOAtYHHLkCiX9KA8rrsomaAVd9 gmNqJSSTy+PXTzyFr/2nL2Pvrjfw5BNPo62pGYVMVhyOxyMjJbcZhiFxyy8JMwySPen5x0Yvp3Ot czoFsKy6R5QYHHbg6PEePPbkr2GyOhCoakRdcwc8/lo0NVcjQbIiywczlVlz8PupjQ/4vTpiRVfh dwslTaR6VirbMs5XWxLmAmWXNVAePJ0EomFOsDRU1lQimcpg4YLleP65V0QHvrmpTiSb2Zyur6pH MDou7i9saLN8+slPfiKnmVkaS8ecixumsJzOGUDCxjpLZS4VBwIVUjKxD8jyjBnc4Eg//H6f+Ahu 2rRJ1nzIX+P9fO5znytuFJCHSMFIMyLxEDwuj5hm3H7HrZLBMbvrPTEk2eCSJYtKjHxy6QiuvB2D rMrLsiSkmQileCgRTW/Lg4f6BfRYUvK+Ca50nOb9y+cn5wSyKYwNDWDliiWopD6YrotmWZaeAn4P cpk8Nj/zAvLZAlwOW/HHg5PYKSHOCyU+eMAifcZw4yl+mHk8nft1sszNlHDYaZerueH5bnGOtz9t muJkFbh7aJzJvUSrBWZY4Kl2wep2wuH3o617BZ7Z/BKGJoLwB8yYzMRhsVdDt9sxOjIsvogO3YZH HnoY0WAUVZ5KeYFJOIyEqayqMqOcloPHyQXiPvzxD+5DDc05uy9GU3MbPIFKWGhoq6n+UkkPiURQ l5m+IgIuBK1y7aR3CpVUGU7D5e8ry0K1OU8erHBhzYDFoX70qRzL5cyWxauwZf8BvLTlDXy0/lqk YuQnVSGdySJNiS1HQvhk1268Dr/85UNYtnQ1Fi++CCOjg/D5XaLVxUyGhFihQhAQslRNVeYL2aQJ X//610WSh9mREr/LibsRQcei6bjlxo9gy+tbpZzesGGDgAd7X+IbGSZbniYdLOWVGQZNUKkLx+nu Al8HVq5apAQT65VMDmkYjzz8KHbu2IVF3SuQSRbg91JyOQKn3YGh/jEhmXLKufLy+bhqw6Wor6OZ iDJn5RI0wV8ULjQdbe0N+Kf//T38r//1DyJHFAmPi5sSJYSCobD4Ji5Y3I6HH3ocXaEu5OIxtMxt w1AQcJzjzz8HlaJ/VXR8JoDmy766pvMhw3qbdvy7nD4tHpW9IafCtpk+2K0M+IQztX3rTqxYsqS0 S0gukMflRDTGyV4KRw7vwWOPPIrenj401teLfLAn4IHV5RPm+uOPPyGTs0984lM4cXwAf/atv5OS 6NrbPyFA5q+ogsPrVSKHdEHKqtfLeo4/0LrDjns++3l89pN3YMO6y+FwemVKmMlRzM+LRDKEgKcS QxqzLbUIzoxT7K802nXR+sxZkpShAil5b0YmOjIQktKZy9LMzIwFcB6LSkVR4M8wjeDtqz0/9rPS woKX4HI0lZboWcBfHyqZsPyMK7kbZogEG94up5WUX/7+97+Pz91jFX3+bC4t1mVPPPm49Mi4Z/it v/pLhBIjStnVakVNjVKaoEUcH2NTQwuS+QKa6towfNOYUDA+c8/dsjFBGubI+AB0hy6Cmnzsd9xx G/75uz/FJz/3VUxM0Hy3AIdTMecvlDirgFUClLIM6yQd+bIMi6eVR+KZQ85Mk3M9kwj4fWhtaZbV nWWLlcUUx+/0MZwMRcRI9uHHHpUM4s47P4KOrrnQLVakc3lMRuJ44YVNok9+7W0fE431r339j8X5 5eob78Dcud0w6VYpdahEwMyW4nAM4lRhBmiPjEeSqArY8ZGPfRr/9h8P4BMfvQWjx3tQU6WMLshh I9uf/Z36etq4twg1xGHzSJnG0+UL48KQNyljXB6effZZWRqm8OGuXTtEvodL4+wfiRkqXx/dJn0m mk6QnCs2a1a16kShPYKfOJoz9TQpzXuRsaYZitUtZFVDb50/Enw869eukxL15z++T0rWTZueLvku fuYzn8a87nni6uP0Uw6Gonx55StJKoKuS9ZM1Yi8yY5IMog1a64QYwq6/niWLxbmO8tcvofRdBSd LR3oHx7E+ivX4gff/Q7u+eLX0NRWgyhtDy6gOCuANR1IykEqdyrAMq6nzj3Nbb8dpU5yLZvhcl0B fwXWXbEWL73wMjZtegqDw0MYHhlDNGrB8Z5DePXZZ5HN5zFvwUJE4gU8/cxriMXT0CyUUolgJAXc cOtdMoK39ZzAN/7qWvj9NvT1TSBv80oPieu9mRTXlZXuPQ1v6UUpFds5VqT0BuyIJYFrbrgFv/z3 H+N///hnWLqwCyMBqoJ2wOXxyUrN0ePHpEdXVVOJUDSERDqmyj43KQnpoumDGSkoByBj0kYlDAIA hxRsjLMxzz4YL89mO0s0Ek35/2xeEzRqaqqE0kHwC45TrSEkt8Vmu12kjOPFnmIebq/qm3HNiJPC hvoGHOs5KtkbWfSxUFJ6b43HG3D11VdLJsgMLJGOS/8pFKOVmluyt1iUVAYuVquGOwGU2vKpVEx8 LBcuXChOR/F4p9pmMNuQLsRhyms4cPQtYdZff83VeOTXmxGeGEWsgitU5+Gv+EwqCQWsTlEWTi8J jSzrdGlT+fXOxwwrlkhi/sIleObZF7Hp2ecwMjGJ51/diqoKj9AUYK1GW3MLdLsP+w+NyVpLS+t8 cVgJhyJYu7AbDodd+i3dF7WDHggjwRwa5lRgYgJwUm1QYL8gCppcROZpyVxp1HGOn384nIfNqiGU SOHLv/s5vPzqNsQmx3DwWD+27dqH9o5GYayPTwbR2tGGnCkrQoFcxff4fUjHI0W3a5WpkDVus3IA MMVXI22B0zq2D5j1sISkVBBBqq6mVl4Tan9x6VuA36ZAMJmMi0s2CaJsmrNEpVSP0g1TjHyvr1ZK PVUORtFU34SOOZ3o6T8uGRz7bRTvu/XWm0saWXwcVGbl/RhOQZx2sunO3Jc8LAKkWM2HY2iorRN+ 19jYEGqqq8WUlxQXPo/xiWHUVAQQ8HrgdbqwY98edLW1Ik0zWbNpau/1AolzNiU0FCG4K6eAaVpJ WDw+3et9UqO+eF7puLhgOZPD7vJj6coAPvP5L8iaPcmSdCTyeF1YZLfBVLAo8Ts7t/3tUtaNj8dl Mbq+uR2RQlLZj4XjqK4m6ZIgQCNVt3wxStsZguYqqzqpEjzHU6SaSk0Y2em0jqPDGSy/ZDl2vLkP re3dOH70EB555JdYsGC+AA73A/mAuTtJsKGIHW3IZBJHpn3ejExa7SPS0CMcisrnjC45C+YvkOvG ElHJmOrqaqRBbrcS6KyYGA+J0qoBWNFYUtlocTezwAV0JQlNtQVDPoZgc/x4jzTvqfvFXuTufXsx f3530cjWJFLS8VRcDGM5GRRVDZhFx33w4KCw54W2YqHNmxqgyGU0kn/zQlXhyhLVZAOVbuQLKQyN 9EsWRt4Wy00y+6l1/vCjD+DEwDgGTwzi4JFe4brpXmWZd6HEBw5YBvic5H1Y+lshVXnPqvx6cpnT fKGobaQkcQyV1LL7neFgxRgLxpCFGwuWLhO9McrZUMpG2ahpcHoh07JoNKmY7hYdniqnrFwkEnk4 YAE18goZC8aGaN7pRmOtG0lO+ehTV0Qsae2QN0pCJ0HLKMnP7dPH2HAYHq8XgYAuri6TcWDVqgUY HEpi7iI/9ux4FVXVNVhzxeWwmS2YiIzI5+bV118Tp22f3SsAQoDgShCnlsxkAv5KxKIpATOxE5OM SH2YVCZD6ga9CylhrCSVlDdkFtksWftq34+2bcyAeGAWxX4gzzduN5W2IBpTstY04iDxVElA5wTw xsZHxY3H5/YiHA/LojszNb4hb7y5pbRuRHMJZoPimm1WMtLM6rLUfLcUsHrlEsTik9j6xpvoPX5Y lqRjsRTsAQvGR4axf/dONNQ1YPHiVbhi3Ubc98jTyCTj0L24oOLc87AMX8R3yLBOCzolL0UjznWR 85tFTR2Z6/RLhKgVREne9NJWinIkQMSUQCqRRMDnh6fCjlAwgnQuASt1qHJROB1eDA+xlPEhZefy cBZOh0XcYbiETM81xZUyKAjK6sz48TjXZXRDnRdDI3HkE3a4/VxFYYPbCovDDo/VLjt5dIkRI440 gSMivCoGRf1+/dATAlgcVChKgFukhmuq6+Fy0al6WCgE27dvl0b5nNYWATT6NbJ3VFVRKUChyrxU 0W9QGUVYrW5E4kHhaxlWXlx5MqaKsjeZt6CroxvjwWGZYiiPBGVkwcvTeYc2XSOTw3Ke3WmD1a7D 7XUhmU7IAICNdN7WggUXSXb31r4DRVVTHxKZHBYtXqD0ujIpNDTW4JprrkJvbz+6fFUYDg9iwdwu rFm9EgvnzkM2b4buqMC6tVfgB9/7Dr76P76JCyneM2CVJ0Dl2U3pDihyJ+YVRVAqlnl0lObBXPYT X7qa0dc6g/unUebbLidNMnWyqIdWAjYjszDu61z7imQSilpA5yYXp1AElJR6jWSinrcLf/wEdQAA IABJREFU/wpJqo8WYDO7hXwaidCpxSN7ik6XD7H4lG4XlSYtVou87vRwZBQlzEqn5XgGYHswCtiI 1nzeCaDabxXOGiOeBuZ0rcBTv74fXrsH0XgYNT47JsPj8Li86DsxissvvwzJFP0AbVK6kZc1p60W mWxctLNo/MHlan7Z2Sjn7uXAwJCAG7OoP/yTP5QfhD0H9sBh49QtA6vNLGVeZWUV8lkrrC4XJkOj 0K0FWO0WJJm+Fiyo9FchmghhZPQwqqvqREpZMi8x/DTBZC6g93ifWJPx8RpOP/FoQhbbb735Njgs PlT56+H1eTA0MoJ5C7vFmJipsPTa8ha18mMBWhva4bI6ZfjQ2ESH6wTa7I3IZ7Pw+yowNjKOCp8H qUQIFy9sw5vPmHBsxxYsWr4asRzkwHUduriFJ6JwO2jvdnqu3XsJ8REUnKCwTwE5ymUbeMAozLAM S0S7ipkSD4JPZ/GLUu4VN9P7WbPx9jBb7OjpH0Tf0AjqajxIRIJwOz247pqNsFhdMgXlcII66aQV hCYj7NSJ9tSe3W/JWg2XnxfMWygyyWqy6EEoHBHJmqeefgJet0dUGMiKZzZWXVkl2Rk/r15fQD6w /DudTsjuH0t0on0oEhHWugCKyVxiqvPrSI9IlpskspJXFY8lhI7C5nokHJWsjhNikkpXrloh/ajG 5mZoukl2Jg8fPYp5nfMQnQwLPYOAaxH6Q7ZkFsL7S+cLSOULmJwIqQXwJCkXBSEPX3nV1Xh932FR 5qhpaYMGrnipHyr2/yx0/D7PlqTfV8A6abpXDHHYIaIavayy/zsDfbj3HGzoUkdTmWcwqyve71SK NRszOLyBKvj9degfCsLpqOGWilisV/srMREMwuzRpSnNHhLBgpQFWmcV8hpefeUNzJ+3APUi6YKi VpjMS0WGZ8HCbqy+fLlk3+RI9R7rFb4bM6GRkVGhPdx+x12yAG3V3VJuiy2Xxsa4RWgHbIaT0hCN jMPjCcDjciAUGYdJK6C5YQ5ef2OHlKtjYxNirMsGudpRdAhIdbV3Sxko60aplGSIihjbjElyxnw+ 2elMpRSxletCvL3e3uOiXFvgtgDlskMhWKBjeJzAXi+gNm/+QmzdfwIT40No7+6Q/VS2HGhBT+BL ZNOw6KdX5JhJ8b5nWNNpBgY1/21UhrOUZfGNy7LwKzbGaF1J0LoAF9kvzLBYsX7jDXhj+068+OLz +NgdN8Hn9MiiOHXDgsEx+YITjFgicfmbfaHgREQa5RuuWiuZF7MrLiXrZh3h6KRcvqaqBokCLb1y wr0ifYD0iEQsiZ07d+H1118XORmVpbMhn8ahwwelr2bY0YcjoyJJ01DfIrZhN954o7Dth0eo+U7X 50lZwaGHITOxZctWSJYnnp+6jhefe17MKPiY16y9Qr4Y3Iusq23E4OggEmaSSGm2ymXwAhJxNuPj OHasR0DKZLYjEUtjclyZtDJTHKmfkMfGktLr0NF3/DAaW1rhrm5UgpI59SNOnf/zLT7QklAavcYk ygArAhUzsbOU2eSLC4wEqpwBWixNi4A5A8jes/Euwc9PW9c8mbS9/NxT+Md/vRcrFi/AnbffgnQ8 LlM1Ziv80hs2aTzesuV1kadRRh5c8FZmrn6vV7Ix6WmlI6LBFY8WF5OtdqEVcOJIcmdTY4scEzAI AATGF154CRuuvgZa0bosX5gjCqLNzW348Y9+guqqGixfsQxVlTWykkND2Hnz5sq0kbelpKDV6g0B y+2wCzfr3nvvxfoNV8Oqk7CqIRQLwecNIJtWbtJc5vaJgoOGA/sPiXck/x4dDeLVl16VbI2X4e1z lzGWTIhm14ql84XX13+iBwtrGmC2cVjAiscsGmZFv5PzJj7QDIshHxeDolDWDD/bocrRggKt4hkC VjOg8Twb7xxWO1dVWH65cfNddyI4vAHf/pv/D69t2Y6/+LNvwMZJXTaPfE6D318hmcihw/uxe892 XHLx5Whv74TDbkMmx/3CJJLpuNA6LLqSrU5mo0ImFaehHG3c4gj47CJ0yEM6m5L/C0eiAowPPPCA 7Any+lShYKO/53i/gCQzOtIUuP5Dl+1jxw+RxYUbbrwWC+fNE1rD4NAJybTcdjeCkSBWr1wpz/P+ ++/Hgw8+iOtvuEn6ZaPjQXHDJrjydq0Wt+xEUoGiv39QnisNMTZvela5S1t1BIPjwsa32FxwF5zQ bRrcDgtMuSQO7tuNzvmLoDs9pa/g+djTfd97WOXHb1tePhdETmM72uB/FbM+g5Ra5vE5GzMwRsfG EKisQqYATESAxqYA/uBP/wIvbX4Kf/l3/4qvfvYOYZrTD1KcZSbHsP/AHvGGXLy0W0o/Htizosgf 3/14KqKUSs2kkkzK+S6nAzpsSGWykq3kc+wZ6bA5TcjkuPisZGso/UL5GAtLR/KcLLShbxdLt09/ +rNiVnHwwCG0zGnBjTdeL1QUZmgjwQHVm2pSxq3B6ChS6RT6BqLSv9pwzVV47oVX4PH6sXrVpVJW GpZ7PGRyGSlX2Vin1jyzwJ079uDajRvkubCQOHLsMKrramTnkvZvzCKfffRJDA+ewL6eEaxeezVc /gK8Pi/sVmUddq6Jw79pfOBTQgOwzkaD/UxDAMt4o2Zrwhkdzc1VGB6Nw+5yCjPlrb4U6qtsWLhi NSJJ9nJ60d4+B26PXZaJjxw9IAJ8l1xymSgVmDKqGc+MiOalNHmw2axwOG2STdXWViObzmF4dBhW zS4u1EIsLbBksiKVDYmBqd3mEgNdY9Gai9DxBJeV6ZlowfFjh7HookViCEHSqG7RMDo+DM2ckVKN oML9P67vELAIYpWVAeTTJAXHZX3I66/CAw8+LOBLh/Gurm64dGXuwTJyfLyowdXTJ7QL9sZeemEz JibGZUeyvb1N7NyYTVJry+l2w+dxYMH8LozHc6irrkHKxM0A7pYC8VgKVsf55Vso5tzvFvmyFORU EjCGF58672TXaIZGQ7KyeBvN8wPOcKZndOWaXIxU7mQNrnIumZgrZE99vbMXH+4UMBYF7LoT+STX VjTUV9jEwNZscWLJirV46fH7cLRnEJeuWIzt21/Dli2v4qbbb8W8xYuQNtuRmxxCRWWlrNXkkUbO lMR4ZBKFGKS5nU+n0NLcgXTShAJ9G+068qYCdK7KZBIkSEArZEQkz6pr8HqtSCZCyGXtsFmtMBV0 kaipqaaooNLcp2MNNduddheyhRRyKZMySnWZhZuVyxKwbJgIR+DUXbDYrIgl42ie04DuBd2IxGP4 1eObcOklaxHJx1FTVYtQcByRyQG4XQUsu2Qe2lsW4V++/SNEMkFY3JSvyYpjNcEtGc/ArnuQTwG9 Q3E4vT401NdidOQYKupakIibYLbaYCq6X3+QkS2YpIrRin1kvaDaRFmTokYW3u8Mq0z19hSgdepx X7l7dDkgzfRVmXKmvfH32Qeo2SiPqR8StX5lfB4JDMyElq2+BH3Hj+Cvvv2P6GxtwCc+9SnUNdbL ClMsNAmXxaGY/dCFTJuNJnCibwjhWFSylOjkGA7sP4ps2oTuzoXSG7LTmov1UkFlNwxmVjbdIf0s qoFSVYE0B4tZEVD5+ESSOan0sQzdLt2kCdGU6zjxVExUQQ0DEXKhopGwlHfM+5vrG3DrbTei5/iQ yN+EwuOobp8LXbeieY4fc69ag4BPEwDV8x4kE1E1ceTMT3T01bI3VSsM1yK6K01GI1i9eiXu+/ef 43Nf/hosFIK0KZFG/YPljb7vYTGmaO8U5XSEt4PO1O6ecLDKXKR52rh+6dLn0ZffeB6nYvLPxtkN wY7i55T4wb+tVtIC7AjMvQjbdu1G7+AorrtuIxrntMPrdgh3iTr2hZyGSDQuUzMulpPEOTg4LKTP ZCqOpoY6JBMZZDMZ6HbKGdOurCBlm+ob0PtPLxJCcwJyVosdoUhQpIjZ0OdlyY+il6LXowxByPZi z4tZG5vmLjdL0AQ0C0mtLqFWaJoVNVRXzSYl28shLfI1Xp8DK1Yugt1hRnv3IpHAQTYNX6UdkdBx 2LS8kE59AaV1ZoTxuHM5lp9KY3/Hrm1oaGpB99xOdHW248lfPYa7PvVbCE9mYadI/PnWw6JMx7uF 2BCUT/mEVzV1HeOXr3SZM7jTmZR1la8IyOMS4D15p7FU1BYni7PAdRbfn+IbRLwoz7D4Nw/xFHDP 5+7B0uXL8N1//jscPX4Et9y4EQ01FXDoFmhuu6h9prjf59TR4qyHL2CHxcq1lAJ0MyWT0whNxlBT WQcT+zvJtGRIVMqIRCkr4y7uMiYQDtPgQoNuccDnCSCVVuYgCihySCRVn0s+Lux1WW1FW6+kUt1w 2GHTFVGUksixRET8Iqn2oNusGA9Owu/3YPXFy/DTn/4ctfPXYPFF3cgmrQKCBEWrlkY4PoFkKoyf /OTe4utEP0jljk2gpKqEZHzxAuqb6mHTNfzub30Od3/+S9i48SYUdBccLu9JLZ3zISylMf87RTmg lGQWTG/bPX6nLMx0HmYo05n6Bjuej5/P11zWG5stGT/YMDIqlWVNLXGLTrj8elgQSQB2bwX+9h/+ Bd/8k/+ODYkcJiYjqK0MIJxUhMp4OoR0PiYZlNVmAts3zHhMZh+8fqdYpWlmlm/UbXdIaTU6Oi6W a6mULpNDZmQCPtmcMOJZ0mUyWSlNCU7kP1HdlNrtBCRlfpsQqsGJ/h7FgSLRIQd0ds9DJk3SQxo2 m11oDqmC0tiiTA0nn5xIvrnlZbSyxNVMiITT0PIpmMwZ+Pxe/Kf//GUEwzFV/mkqeWBjn1QLghdB zOH0QzdbYCpQ9yGH9Wsvw+svvYD1192CDMWyJHM8f8LyNrGDd4uSqF5Zj+ekpvvbTxtN/dMpg56r KAecEj+lLFsUA41ic5CrDZKElWVhs3H2+1mGU49UbZpJvB+bWxpwtPcEbr/zbtz/yK/xpc/dg3gi i0QhK2RKh9Oj9NrNGvKZtJA2k6YsovEYaHGazqWhUbXUboJTd0uPa/vO3di59U2x7GKviMfkZnE1 h4oQPC7kUyjki/21HISJPtA/hL7efhx0HMZkZALd3R3o6T0K3WFGnMYS+Tyq6+rhsLtEbcNlc2Ai MobJ8CQ8PuVRyPu78sor8OQLT6Ol2ovW5la0tVTDV+mGKR/DyPg4FixchChTTHltlMMPf2ILUGBV KORhsTvFgUnL5zDQ34NPfvQO/N0//wADfcdQ29QGk/k8W805XUYoX9Z37GFNMcbf6TJa3tCrmrIv n+l6VeWPK2cqlCYcpT3E8tdmFrnOCo1OwMl0ck+L75PPAxw5Moqammos6m7CRKge3//ed7Hp2ZeQ zyThrSaznR6QGioCfth0C8wmExob61EXqMZQpB+ahbQH1py8gzyy+ZxkSdwvvGbj1eIwzaVqytFQ 8101t61S0hEEWYYRINhY59oOpWho/cWsjCBHS666unrkTTm43Cozo5YXLczioYis3FC8j5QKr9uP dD5bBMg6/PbdNyOZSGHfjtfw1q4sLlrYhisvvwzBdAQJ2rg5mN3liplVTkxWVU+NzZ4c4tEQqvwB ZGNp6BYT/C43Vixfhj27dsEVCMBjPc8A63QX4HY3o7xvddLpUr0+dZ13uuxUmGZMlnU6wOHvFR+k kVmpNuxsnK3gx8soAw0BQqOfxcPEeALtrdWIJYAj/VRTMOGLX/oyYpMjMGXJR0phfGQSCe7W2UdE SobrLosWXYT58+YhZ2PvSaVuMvnLpWFJJeSHlUDHTEyY6S7lyMweEoGI/6+EAKd+8gleLAW5gE3g kh9qTanIBiebEEtG5RePShK8rHK1Dkjp5/a4ZddxeHxUVnJoXU/QXLlkPmy6H5msVbwTDx04iFWr l0G32aWPls2mSuKDBCvl6sPsSpUB3BKYnAwi4PQiby6IRdnaK9Zg5/d+jIET/egO1J9XH2ZSW97m YKMOhRKPQsUp5EDlSm+/0fLyTyY10y9QtqKjM5UtKoWeyqzig47TMe/1Mh4ZXwpySEqywyI1p8Kg q8ntFXsscp3zq0Uw46K8yT79PIZudyDCVUBRElXZQmPnQgA8AMlYFA63Gz39w/D4fHBY8+g5sAO7 929HZ1cNvFpenHHMuk2kWujQk03FUFNbhYHh/Vi+ZKGQNsUogoqnwREBJFEnzSUF0NjkpjM39wtt Zr1kKsvLZ2BCPBGH21cNh8ePTCahDF+RhW7OI5aJwF1BKZsCYsmUEFQ5ffS43QiHgkgm7KiuIju+ gIsWLsGTTz6Nod4MujpbEIkkkdYi8Lv8iCW4S1kQAcNEjDr3/JHVoJvMyNJZJ5mB2WpHmj+6qRSu uXg1Xn9tCyqaWzBnTg1CwTy0ggYLlWzjaXg9Vnmds+/xO2h8L8oTA+VWqSAl/pvqYU232So/zMZv JqlT6n0Vp42zce7D73cjmaE6aS2GRqJw+NxSam3+1THY7Jz+Tcrl6GLj9gRQ4Xajr7cHfRFODWuk 3GMJyGPSE3hao+uQWZPdQEN5gRNAQ7VU+RrmlLmE3SEEU7PZilA4CJtuFxsyCvjlqG1lVtM9gzsl QEfUAE0ozDLpY6ZnNukoNJoEODdv3iTSN1dftR6RjBWHew6jprJCTHQTsTjqa6px6PABdHZ2Yiw4 IY+NlmB0E+Ljdzvd8Hgc8jjGh/pR4fbC57EjGskLQ99ZbS0KRM68fge166cB1jS2+rmu2WZITKdi TAcno79lzCSMZv1snNvg+0AyZ7XfLjbufI9q6xpRW9eMnXsPYOMVyzA8OgKHxQarZkYsHEJ9Va2o eO7d/RbmNM2VbIoTPxHq08ziWENACvi5m0hXaxJILZJliUwzAUZTJhWJDDMpAhAljjNCkaDuO9d5 NJMVmjmnvAyFuWiSPhM/P6lEXLr4hhRzJpdEhb8CV1yxRjwUt217E9XVlehc2CK3e+jQIRw4cAB+ nxfRtna89NIr4rgzOhEsumFnZbWooaEJy5cvR1NzLebNb8PWHdvwxvMv4Oqrb0BbV5co2FKVNENR JpMF5hnWpLWwR3Vy/2nKdlxiZj3esx7vhNcngXxxV1JAywCr2STrnL4/RtCWnr2nySBQUaEjNJ6A z2nFxutvxff+9Z/Q3lApwnpsUHd1dUpWFAqGoJvtYmNPl2Y627D0Y+9q7dq18jcb7JlsRjIiUVOQ LIqaVaRBpOB0OOW0lVPJXFbWdbhtb9ftSCeS0PJmkbMp6KphT4BTk72CMOOpa0WgZZ+Me4jkf+lV OhbOX4Cqqkps2vQMtu94AxOxIdG2Hx7ox7Fjx9DdNRd79uzF2FgQ+/cfQiLFNSCtpFdP4OromIOq QBXmL+jA3v09+MUPv4+J4VH8wR99Q6aooxMxODxO5DUTzDOMp2WZXqOSnCZh9GTO/mM6r6JcTmg6 aJ1FncLZeIfQzGa4nGaEJjPwkhUKTagA9U2tiCTz+Pt//C7Wr1tL8WAcP3pcWOWxSFy8DX/rs78N r98nJhc0s3jzzTfFXozlGKVeurq6SmoKDJJELX6LIm9mKFWcE0NWAg+BjfpVGpQzjlqitsiHxUwF VN0mssdSKqZzSMVTcDu80i+TtSCbLus6zLhqqytx+RWXCkAx06IW2ILueTK5rK2uwfDAIOrrGuU+ M3nVI1azMVqkOSX1T2ZjohO/7tLluO/nPjz1q4exYcMGrN24DvGURQYQ0n/NztAp4VSWNfsVK4/y 1aPyKP1tiOzTdKD46s1OEmdOhsUfZC1Pow4dkxMZ+DxckclhNBjH7R/7DO79pz9HfUsHFs/vxPhI PzKpJBob50AzW2G3uYXTRF14loM333yzuNls2rQJAwMDcvsELrH7SqUEqBg8JlhwRzCTTiOdSsnn xOV0iTSN2WRBgVrsyRRMmRwyySxsFjtyqTw0mlgULHDZfeju9EmGxdtmBlcoFJQUskVDU1MdHA4d Jivwq1/9Cq3NLaLTRYOSuuo6uFw04h2H3WUVHTBeXwYEGTVVpK8l/+7ubManP3UX/ugbf4kf/uC7 6Fq4CIH6SoTjeenVzbSwzOLUmUU5b+wkJnyRX2aUhkaGZbgEzcL/uQ2WWZFIBlUBG8LBJHweHTab GYmEhpWrFyMy8km89NoWRMITuPbKNaJxZdVtyOY0TEYT8Lt16VXR15DNa7fLjbvuugvPPPMMfvSj HwlwUdmToCW+kcXSkAeaslImWZV6ivZAvSw2wznN4+U1PY9kMi3ZVzSiVE3ZgCcHjKXnFesuRS6f hVZQksoerxu5fBrpTEE0vi6/eI3oY+3cuVN04AlYHpJkdTbaLXKZXF4radnLjqT4G5hlIplNRnHV +jV48dX1eGXLbjz28EO47a5PwmK3CxF2psW59yW8gMLQip9tuM+csNm5bsM+DuCwUb2zIPSDQIUd QyMZXH/TLbj/vnux5c2tqK3yobG2Bv6AA7FESuzTItFJyXKEegMTorEofF4frrzySrS0tEh2c8cd d4jXITMxw6SVHCopv6DUGajDTs15xoarN8rlmQHRs5AlI1UiCGCG5PNkMIzOznYkcuNymwSaZDIp kzvqc5FvxVI1GA3i2muvxdNPPCmgSWUH3rcesCIQqETGFBQjVjMrABMnf4ogSxDlepFDy6G+oQ73 3PNJ9A7+A57d9DRWrl6DuYvmIRbPwUxC7QwKy+kyAPMZCvRNp0JcKMPFk3qOp6CkFQokshXLQGrF a8VfAdntmgHWyhd4nI5+U0gz43AiHAb0ou8jg/ZWAb+OZB649aN34/GHHsCjv34BX/jsp5Cic874 OIZO9MNqtQiVgIRQqjzQE5BZFbOdJYuX4YEHfwGYMvB4nGJcq+zmddTW1Mo0UTXNs/D5/MJ+J3g1 NtHk1QHdWiPAYRhSMD3i9ahEGvBzmhiFXfdhaHgADfUNSJvorRhDja9C1B6iE3G4XX5sPdgLG2xw mu2KIV9ZieGRYbktFJxIswSkwa6LrPwE3G6nqK2azCbk8j7hiS1Y2Ikrr1iM517cgicf/SXmzf1/ YC2YRbcqnVaEXXI21fPT5HQ6/d4BzalmEYrfWLbuRyPhU22SWD7ID81MXr/5IMLYMZwJjsqzcWYx Nq7KvuuuuxYP/eLH6Ok5hrnt7dizdxfaWjtw8OBRmQ6yH0VQYZZEP0MaSlx88cX43d/9XXz729/G TTfeghUrVkhJZ7c5sP/AfszrnidgILZedkfJDZqZksq+IFkSMyOCGq/LIBGVlzXUTQlWjFSR4zU6 PipZVFvrHOzffxj79+/HggUL5HZ5PSqvEqwi0Qj9XuFz+zA8Niy3ZdxfPBYX9VIq11AR1R/w4Kqr 1mHX3oN4/fVXsXnzM1h1yTqY7WZZFCdACWiJRyJXicii57jg7MYpAat8neZM1Rw+TMBUHoYkjRFT EjzF/z9nj2w2ziQCAQd0DXDpQDIVRTQWkhIqFgtjfGJUSigCiJBALRbpLfHA81nCkd5w55134sUX XpZJ4ooVq9Da2iZg1XeiT+y7BIDsjpLQn9LWUmWjcsSxC9gwk2MYU0WCm67nkIlnBIg8bo9kbZUV 1aiurMVbB/biF7+4X4CONmL5/OtyOX5/KyuHhe5A6Rren1GOSg8sVxAAZvaXL2gITQalL8bncu11 G3Hg0AC2btuCZatWIx2xqGZ9MRO0OXSZIJJVb7Gq7OucAdb0vb93UhQ9VXyYeaanWin6sGWX52tk c3kkohFsfmUTQqEgqqoqpAy8Yu0aMTWllPHCi+YrV+mi1Tz14LngrFvNMGk6li5dKrt/zLzY/Pb7 A/LlZtPd2Blk74tApCgKNgExlpa8Hfay9uzZIwBSW1sr37u5c+cKgMh6TyYj2ZDf55fbYDbGyz79 1LOSWXV3dwvFgRkYgZUAyKyLE80FSxbiiSeeEDoG+18EsUsuvRi6TrfrCSGJsrcX8ARgnevE0FgI bx3ow3hwCA8/8kvc/dnfAnGUg85ILCtlGvGWGVYsRja+NnMyLGOB8l3jFOP+DyNoTZWDnMZMKa/O xswONeJPY2hoSMCC6goEB/aqctmCGERIOWjR4Xa7JIOpra2Rv8lwjyeScNqdWLJ4iYAZd/0IDgQS 4T+ZFEAZEsrGni3Bhfd78OBBURvl9JCcKzbuCWoEG8MglhkS7cOqqqok82ImRy2tl19+GX/9N9+S +507VzlIsyfGEpbgyWXphx9/RG6XQwKaxd5//3247LLL5PZ5m9t3bkMmlUYwGMKc1g7sP3Qchw71 YsP1N+NYXz+2vr4FXd1zUV3lh0UzI5Wm6oNVFF9lafzc8bCmQOpktYXT3MK0C5xK9+rDEiet7HyY U87zKHxeM+JhDR0dXbDkYjKt47p+OBSF0+mRDMggghIsDGUENsYJQASToZEhARCCBMun5cuWS0Yl dvCJhACJ0adi8Pq8LYIiwYX3cckllwhgMjtiJsdMjXLMnZ0dkqkRSG02myg5dHbMFUfp559/EWZN lxJRAVxawJZ0iItXX4rLLr0ceTOngQlEY2G57zff3Aa/1y+Xf/GFlzBv4Ty0z2kXKHj1tTfQ1zco Cqy7du3CF7/yFfz7vb9AcHwUF1+6RoxpOXFNZlPw+GzQLKLcfFbjHZvuxheODiLvFjNr6HnuQ2VY cupDDd7nS0xOcmWvAJ+3EsO94+Ko3NLAJncasWgCtgqLEC8JNgQj8TPkArSmSYlltlgl4/nrv/pb WdtZvHgxduzcUfx/swCDUeYxi2N5yCBgEYhamlsE/Hjb/Lww65KmeDwuQLlu3ZVyPpVNzZou/SeW ikeOHBPy57PPPouNGzfKBJLns79G0GL2xMdyYvjEVF9MV9nezt270dzcKPuRnR3daG/tEMuvrs4o sgUb6pvn4F++933J4LhIPTw4gMH+PtQ1+OF0OhBPpJHO8jYLsFtN57aHdXotq5Njur77bEx7bWZf kxkd2UwB7e1VyMSC2D0yhtde24ITdbUI+CsxORkWX0G+jwQYccHRdfmis0FOcKHQVIQ/AAAgAElE QVS7zqOPPirZEgGIC8iUUWaGRE0s9qn4f8xymDkxayL4McuS/lZCARPXelhi8nKypygNd112Enn+ xERQMimXy4l9+/bj+edexLzuBXIbDz30kDw2rgwRrNjIJ5mVcs3hRFjuk8RU9t6amlpw33334fOf /7zcB2kK5Hw9/viTWLfuWrz2xi6svLgZv/3bX8R3fvh9bLhiPV5/7RUEaThbWY1ANbNAK3QbAevs v1+G7Z58sdh7KZlMnCH25C1q9Co3wTUIMr9FiecMr0/CRVmmJustwhqXR1P8d+ZGuWGF+oNbaVP/ Qw89EZ0r6n2VFDuMEnyGP78LPXJ6GtGUDY0tbUhlzRgcnEDA68HRYwdgs5ph1QMwaQUxKx0dHxEO U1tnG7w+D6LxCHyOShw8dAR33/1peNxeJFN5mC123HrrXXL7jc2NYp4KeFFd58NkZAS5Qgpud0B2 B20Wm5oIZhUwsh9FIDF6XrGYWoCmgGAulxN10XB4Ak6XBXd97DYcO34Eqy9eiVdeeQWBCh/mzZ8r DffevuNSRo4MDQi41tVU4dChI7L0HIvG8eiDj4sGvdVkw5y2dhw7dgSNTXuhFZL4zt9/S/pcX/vE R1E1x4dsog9PPPkwmusqcPOdn0SqQDqDFTlnUSDuPYTI8hfNXXJFz0LhdhKHTqEgcM6Z7h+WJIR8 ldnyeeYFM5RUKo9cPC4lXHf3XKxatQj5/CKReqGRq8/vQSIRx1sH9uH48aMy1ctk09BtFuzcuV0A oaOjTaSQuc8XicQEdKgmGolWlvhLY+MjkvUwM2MmRYkZA5wMqsNUuWmeIpSKgKGyH+MUkAc259mw pzsOlR2YYRHY1q9fLyTX48ePS3lIR2k29XmfzAw5TWSZGgpPorKiCvsPHsCKVasxODiIpDwmDbv3 7sFVG67BNddej4wWQnVFHZqb2tFzYhQH9u5BU8d8BMNxuCv8Z/39EgG/8jiTMvD9DmMPj3GhgZeo NpTRHHLTdOFn49wGVRmyCWWYSkWE5pbGop4VTU6DqKmplV6V0+HAokWL0NraghxyohpaMOXR1aoU G0Tm2M1l6awc6uqqpVHP80iw5FpMODIp2ZQBSNR0T1DbefpkvnhstFik9CyK+xUKBVkJYvAx9w/0 CWAxW2L5ydslKHIKyWml3alWdXhgaTo+Pip6XEePjknmx/7axMQY6mtrMDo6LD+t1Il/9vkXUdfQ hEULm+F1upCMxJAMR/Drhx/B7/3BInh8bqkkDAn1sxWWcwVSRkzX3boQHWn4nhamS9DMgtaMCBIf C2ICkYbZYpL+DLOP6soKkWuRsiyeQJbaV1azZCn8gFKhNBJTE74vfeELuOX2W/D//tGfyGKz2VzA ZGhMgMbrrZDbCIcnJbPheeLeY6EZhrmUQRHEDD0sln4GSPFgkD51nYvbNuFoKVJoHBb9UrktTvWe e+45yf7YYOfjJBs/kWJPzC8gxb9Jy+BaEAX/OCyobahHX18fbr75RtGaf+vAQWy8/jo0Nrdi51v7 8dSvfik68sd7elFR1YCjfYPiQPT7f/h/Y3A0DodbMfbPVliMXaZzFSUFhOLfJcLlBYJapV0ofhCL T85w4GHMAte5DdkF5jQvGJQMY//+fcgkY1g4fx40FvGmSXGAprFDOkvuVBLZQhY2uxU2hxWvbntd muTf+NNvinoDMxxmaevWrZPshaDi93uFrmAAksH9olimbp7abzTURY1D+XmMZDIp4EXAM/hWr772 sjT3SWX44he/KIDGktEoKa12Q1hQCQXy2Ot2IxiekEniD3/6c9x9992w6xZEIxEsuOgO/PDe/0BT axtWNrXCnb4C3/nOd/D1r/8BXnzpFUyEEvjpz36Kj378U6ipb4QyGTuHGdbZBi8j9Z3eyzKswS6U KJRAS9W/7GvMSiif+1CLtpSGCQoojY4No7+nR7TRs+ksTJpFmu7pdArhaEiWj2lpX1NbjYqqAF58 8VXccsst2Lp1J775zT+XbOq55zbjmU3PYk5rM1LJAtauvbzIoFdAw8tYLEpfvRyYjGNDnsagORiR TlN5NCyAxMkfqQwLFy6Uv48cOSJrQMzCCI5GTyuXzcv/M6tKJuOSRY6MD4tUM9UgWF6++OLz2HjV ejQ1NOBY/4DimdFWzeqAlrMJdWPxUtI1dsJfVY3mxno88tCD+C+//1WkVPJ31sLydtv5s8sfKidY Ts+sDCC7IDKsvOJnaUXbMHmdiVqzag7nNFht6eA0Lob2jlYsWzwfTXU1qKqoxsTYBOobmsTqPhwO IRiakAzF4XbA6XLIWsuC+Uvg9QSw5rK1yAk3KY2bbrpF+kkEgscee0I8ED0epdrAck8pgGoqeyo2 gcqb7gaNwgApo+9VKJJWWfaxoU6aBMHUYMGzDCRgsZ/FIEB+/BOfkF9GsvFZ7qbSXHoOI5FUUpOL ly7F8cOH8Mwzm7B82TL4/NW4cv06/PKxZ9C9dBUmR3vQ3DoHJ6hQYbdiaGwEX/vaV/Dcyzuwb18P atvmnNX365xPCU/pPoMLO2hxOWNe+A95eL1ANqF02Su8bukNzWlsQMBbgeGhUZgtFtgdVPvMS4ZF wGKGZaZqQS6Nea2r8OCDD4qNPaWKKysDAhAnTvRKz4hAyDAASJmwTrnq0MGG8U5JAoHMWO3J57m7 pxdLO2XiyqyKPSiu37D8ZNlIDlh7e7scWEJm0llEChGZVOYLebmORouxWEwY9nPb2/AX//NP4Xa5 sO6qOfDndYyMjyEYCqHv6HGRme4fHEAkHsbA4Al8/J7PI5rWhNl/7dkGLL6A7ymoGV3+p/xREE4F kwlrmaCN8Z6c9N4YAFUEK2lQF3WGxauQOXvp+lNpc9ndz+golX1FuVl5WQq0RlcCQHb95Cdi9LRK ra8LHr4/2CBOUGSzKLR5kv8lq7HRKFBlB9xWJ0yhMLwFHdFUShxnWBLBlEI6y127cflQki0eCcWk NOQX/0jvbmze/Di+/OWviN0Mm/fpXAY19RXw+D1o2VuLfCEFzVwQU1MSP+MJgodF6AcM2TEsqMxL /Q0kkpwGWKR/pvrMpDXQ3NWNhQsXSSlI4wy7zYnuufMF2Ehx6O3tEZMKOuoQMKOpODRpQ5hRyKgP Vy6jbrOQ15G1JBGORiSzamnqQjKagyWVQ43FBG3iBLZt34LbbrsFB/fvFeb//LndcFg0JCfHkUq8 970cqTvKbKZk0FDEAXm/pr+fOAdR3q+a/ssyvQScImZemF/c8h7GbE/r/Y9y+ZPpZr08Xe0HJvoj eOXlF1EIj+K155/CwPAgKusaAIsO3ay8Bsm7oglEfX2tUlywc00mh+BYWKgL1MbS6YiTSULTzYgn JpE35fHsU5skQyLfiiWc0RAXQwruF2bo6sMHpbwPVYtE8bOSyRhMtKjI56Wcs1o9QrlgJqemiKqM ZKbFfhXB1GpVml0kuPK8WDalLMRYhhaPZfAjJaYZsWRMAJOPy+FyQrdaYYcJy1cslYXsseExWEwW DPLY6kAwmsDf//O/oqGhHbfd9ZGZoYf1foYxDTNi+geGL+L0KNdONxsZYPku8QVENs3mSSjllgGb v2p6KFnWVIo1G+8hqNtE/SbDOXq6UXA0VMD48AAWzpuHj97wFWi5BJLpFJpaW8VT0K6rRjkZ5iy3 mChT153vWDgahs/txfhEEFbdirGJcQGThmblWBNNUENLF9licq6sVi5BMwvLyXE4HIEJNjgcXPkx i9W8sqpRwEIg4YHgRACzO9Rj4f8RuHhgWUcAZKnIko8TSx4IgsoMQ5MfQgEsObac9J3zOyxI+ZOw OR2wOx3y4UtlU+ju7sLf/v23cezIcaFF2B0eNLe141BPL5zVDlxzwy0o0BT2QgOs0tpOEWFOVjR4 u0Hp264/HZiM655CPO98DL4+pBqqXz4F4IY2/Gy897CwtCnKVTOZLTcO5vk2ZHD0wF74vU6RX8ml Y0IM5f8VClkkk0pZgaDj9dgxERxD1qZ4UqlkFjEtJhkW1T0rKyrh83kEjJIppSBqsNr5PjPj4QSP RE8CDxnoA/0jMsEjm54cKTGx0GyIxVTZaGRdyVQMk6Gs/K18DK0n/T9BizrvmUxa7ocAyJ6W5iBg qR99BVhm+Yyppr8Z8VwcsUhUHuvA0BDsTqeAc1NjPSr9HuyLJXBw/yGEI3FccsV6dCyOomCxweZ2 IJE8+yXaBw9YxnHZ9HE6aL3tOmVn5qf1wMpVW873CWL58+OHSPG0itrwBk/r3D688z6MBN0AK+M8 45CcmEA8MoZLFl+GfD4LEykFWgHZfBqaXsBgz4AADBebWcaRTDo+HhSQ4heeYFRV6UE8rub7Ylia SiCZCsPldckSdWgygt279gr1oK+3H6+9ukWuT2oC7bikkW/Vig31gljKv/HGdlRW1Ei/yeFkozOH eCKqmu06OV0mpJLse6nyTpQkcmnk8znJsJxOuzy2tJaCqVjmmJnLm8xiM6YAS4PFMSXPvHXHm2ho aoTDYYfDZsXH7voInvnVJjz99NOomdOOSWqDVfiF8tA3OImmJj+yaqZwYWVYU0B1MmjJ8SlSpJOa 6vl3B6vi7vQFxNOaSiHlu3aBPL9zFQZQEQgUx0mRRY147fmn4XXQUblLHGxobRWJxhBNRqDbrBgd GxJn6NraemGqr73iSuzduxdtbR0COPHYJDZuvE7t+oGNdR2VTifycCGRSYiCAgGBO3ws37iQTIVQ Ej2ZKREIqVXFXUWSUjOZHAp5+hzmUBGoxOKLVkAzZ5HOxBCNhor9LBfMmh25rFlMJQg+Io0MZn4p AR+WgsywuNxNAiw7WOxFcX+RgEWwYn8sngojk89h+UozduzahUw+AxaNsWQE87u7sP6qK3DfQ4/g d37/64gnUxiNjkK3OtHW4sfocApup9Khv8B6WOXcrpN5XuShnGr6Z5ws0ZTKy8ey0+d9BlLWoxPQ 4per+Pz53EvqDrPx/zsIVvyxLO9lsRnPcq3n6AHcecdHYNd1xBNhybLoKEN2utPmwqh7GHX1VTJp i8VCGBsfltWdwcF+6WnFoiG5bVp/ReNxWcFxed2w6Io2QDmXSy+9VGgHhpkFLb4MCRmuzDBzc7sd kp3R5ovyNFQATcTTctlUOgLN7IPL3aqmgWn+jllhs3pQKGRKUjQkhRKwFH8xJ/dvcuRhNnGh2gLd ZC0CFh16imWiOYdYIo6mlmZs2fZGsYGaRzQ0ibzDgd/7r1/FT37xc2x+fjNu/NgnYM5bRHbHrrng sJz9xsVZK0HfiZA6nc0+HbTokFv2v2+/4QvwCy2AZYxfzntEngGrNwXK+Ra3C0xF2gBVOKNRRIIT WLxoIQr5TKmvw+kZ13Ci8SFZYm5ubpAysLOrHRazVVZumLWRlhCeDCop41RSyrX6unrkkMeLLz+D x379GI4f7MWaNWswf/78kquNWWO/Ka+AxmqGx8lF4owQQlni8XyWj7t27cHDDz4Om92EJUvn4ZqN 64Qnlk5RxyoDp4NMeTVdlLLOrkQACWrsozEbi2aDKJgsioNlYnJQkPtW3ysCmdpd5HPga8K+mM/l QcHpQCISk57cl7/yO/j29+/F5s2bsfLiNWhrqcTYUBouqxXJCw2wTgdS2fL8fOoCpeYXfxVPGUZJ WbSnNaYgcp0iisl0pGxZ71SZ3G+oAP2+x3Qqg9GyM44TxefHpF5phE/phyme2rvf/tkeO8+0SBdy 8rlw280YC6bgrmIJk0VrtQ3f/Mv/gf/6e19FPDxZWochmEyMRIQ1niwoi3dmRs0NbaWJHIHAcLip r2ksMdMz6Yi4NxOUtr++F9evuxUdv90iWRUb2zymVlwiHlcZkUlDKp/HZCKqHGlcHrntWCqJ2+68 Fbd85GYgbREgIVhs3XoADQ2dsNltorRQMMWRz3Mh2iGZoZogongaAoY2syKdUlK5uqoGiUwamkk1 7U2mPHKZtEwbx3p74bW7YS5oiFBmhuRWqw1eqxs3brgeTzz+HI5s34bVS1YgHsnC4bMiGE3DYba+ 5/dIoFPsPU3yQy1czOIkd7psvOW8N8ossQD5T7E/Zqz1iB7hyVPK8zUU3YFm44r+wDijJfELYDDx XoLZg/RwTIqvxC9yNp3Gmzv3SEnIHhLBw3CcYenGzwr39JgRGcYOBCGez8vwsoYVF0ssmfQWJZQJ aumMS1ZgaJ3F+6+qrEJwMlhaszHUGmTaR56EmIdOLUbzPLOugKCiqhZj42OyTP3Yrx4VDazm5mZU +P0IRUKwmNxyW8pvkEMcJfIn5WYygYyJBFQNNVXVoixaW1WPiclJVPg9iHEv0qyJ7LLVaheXIDb8 ZcEyr9aIYumoZHVLliwRRn3PsaNYWlcnr6OxTnQ24zwArMIZ7yLm2Kcw+A4lOsW787hm+veZ2g4M Uzndgb88xf8v/8ic55j8gYSUeXlVEuo6nY7V+du2bZMv/sMPPyoAwi8nRe+4zsIgODEj4hefzWvD hNRYRjZMJUgf4GkCFaVmDK9CKnhyf5B7fe3tnVJq8kBJYgIby1QezGZFQOXqjxoMKK0skZ8pAgLB cm7XXHHiYcOf2V8kpjwN/X5nUX45JrQGsum9Hi/MNrMAayKRQUNNA0YnxlBbVYuR8RHUVNYhmWZ2 lodmUffv9fiKnDVmmhZpxPMrFE+lUF1Th43XXI1/+d6PMBkcRzqRhMlqh4U9rLP8BTrvAStXKJZK xVWgfPF04Qx5XGWbPzM68gRjgnLxb0UGVLKy5cOIt5Fz8eEOyYKyRd2r4u8YgYAcqNuuvBK1teRN aVL2EbCYYXGlhUHAEuUCUhXiccm2CEi8PNdyCGDjE8NyPgXyCCzpdI000Z2uj8pE8M//7Fv4+Mc/ Lp6CDIr6ESCMRWizRQFejpmRVpxkamZY2BzXzOK+QzDkQdM08S/kdbl6s2HDBpkw8jqBgE9uP8Gs Kqv6cZw4kthKA4uANyDAVumvFLFBn9ePNGWZJZPTZOWHpaXD7lLZXyrJn0gpG5lNXnbJavz66U1A PoNYJAwP95kYs4D1m4eInhn60EZNXGT3lvfsz0cel1HyFlVp5Lj8uZb3sGYzrFOH6usUYLKo15Lg wuA+XkWFQ05TzI5s9Kam5pKnIEGCYEUAIriwKX7o0GGhKPAyzNAo2Md+FgHPKPkkI+qci2Q6iWg0 hnSaDXITQuFQkYRK9x2ql5tKJaWxZqMer8q+WKqRVc8eEyVw5syZgzvuuAOvvvqqNM8JQE67ygK5 OjQ6Ooa33npLMkY2+Wnoms4mEYslioqqDrnfyWBIaA7K5DUq4EZKBQ1kud4jwwn51edCr+rZVfh9 uGb9WhzuG4DVosGqA+nU2Z8JzfgM63SRL2uwS3aVP3klyJi2vRNYnS4DOdcgID0rI2MsHmvG+fJP mfih8dzKF83PA1D+IEPWU8y62tcrTgkJOAQBAgeXnJlJeT1+VASqxEqLRE+Wd5x3OB1umQyy+qER RGNDM/pPDMr56VQWz25+XrIyWngRqAhwBABmaZQqpiP0vr375f4MoCPw8DZlaieZMx/YlLyTHESO qIChcWXwSnedOXPmwG61Sh9t82ZF6NTNqpylryKzPmZ7I8Nj6D+xWfpwjU118hqwNKXE8+DgkIAW z6Nk8rIVyyRTJGCbzczKKCzIyWExAzSZ5bHHYxFcfukqbN35Q6RTBECV3Rd/A85azHjAOl2znKVS 8YKKeFmcqBnf4tKU4R14XJbzpuFeBCKD9lDMtMyzfq2nb7pThtg81fdj6Ud+Ez9bPp9fMhWSQI2m OmVTSOykJjqzJh6M5juzLQNUSArdvmOHaFHRqYZ8K9IRCAj0DWS2w+sq4mmtyBjzsgQzRe5UMjOl YVHB6FZOfT5ZVvIcAozH4UY0HpXs6aGHHpCMz2I2iwwO/58qDix3CUDslbEkdLt8wtRvaZmDUCgs PTouNdfX10nfjDwuTbOir+8Yd72RySaKrxn5WgXoZjvyuQwKuSzqamsxv7sD2958EyvWBmAuSuOc zTgfvq/vGsaXWNLq0hs/hUgn98DOXx7XO+nAn2p74FxnhTMtZHpWlG0hX5KOM0uXLRapF1IA3njj DWzdulWmYAQy/j+DpRdLPoIZsyaezyzmpZdekhKQWQt7W7FoEvv2HsDaK9aLESvB40TfIA4fPibZ F/tlBEDJWIruN8Zpxfs6+Y01xP3U+5rDyOgIaqprMBkOSpOf4oAEXWZzl1x8sTT5qRxKMBoaGhbJ mUCgEqtXr5afNzLr+Rxq66qlH0XQZAbFsNrMsDt0hCNBOa02W3OytM0BgN3E3ccR+L0uua31V67D f//mt9B20QrUuGYB6zf/MJbe2KkGYK6Mx6GkO4pROAWP6wy/3OIpaHCfyjhQhdPWXO8NPYwManoY j1t2EYv7hyVelqp+SuXhhznsNjviGfVasL+cjsbgTmXg1a1IZjLQ0lEEKmrw5u4jyJtteOqVPWhr asC6K1fCyldRM6Glow1Heo9Cd+robGiGa+NGRKl5NacJtqI+u5BKdQ0dncocgnQJ7v6xX3bjTdcL wF173TWoqq4QVQa7xSpTPc1skstzsscFao/bI432cuuvgJ8mEknYdOqzm9DU0Ijf+dKXBGifevYF fPyuj2HpylUIB0NomTMHiaqk9MAIZNEYM8cCamopLEjYdgntwcgSSWfgY6yqqBH1iFwyA7vLIfpg Y6FRWJ1VCFTVIhkJimZbU20lPnPnR/Dwz36Mr/63P4Dm1hGczKHSZ0Y8qnS2AgELwtEz+/HMclJa LBuMLh6hNCsUjRnoS/h+xKmyjOm7iO8Yp6GSlG6uMLONMgzfQ8U9m41yZ2eSj3UzkIqnkYiG4HY5 4aeqArLI6hreOnYYAxOjuOn2OyX7OLBnF376wH/go7fchEIqg7FoEP5AJRZdNg+OvIbVK1YhlIwj azPDpSkFUJaV7IWxF0QAYibG23rhhReEw0RQY1bFyxhAxL+Z8VBd4eVXXpaMiZwnfpaZvTErY4bG 3phSZsjL9QhE7EeRab94fBz739qPiy66CG3NrQJ2Ho+3OFlUig/K1EIRSwlaBDBDppm8K2Zkhvwy +1WJVFLKWk4OlQJECh6/F33HjqCmoRFLli7EQ09tQs+xQ6hsmS+AI7QRm4ZCTkM0qtaenE72197f z+IFAVjTo1zvyBDIe6fIn6niqrHbV1RDJAHf6Dm869U+aPQQGZRiT4sZZRFk88Wn9WHf7NHpeJM3 IZlOo/fYUYz29wlQVQd8sOkW7N2/Dz+//z4kskm0d3egrbMDvkovhk4cw0ObnsLGlZchGI5hNDiJ V7Zsxe3XXCsiZgQd6r4XyMWy6EInYO+IjXwxUfVS2cEijXFeVgwhinruBKly4UbSF2hxz+sTqHjM /hn7XiSMKg9Dh4AKKQr8/6aGJmmaT8bjOHzwkPTdWpqaBKg8LnfJ+5BKpwQfrvAQtFjuKY/DIh1I U7SKTDonQwRODvla8TE63S5oHGvleN0MmttaMDo6Dqe3Arffcj2e2fwkbr6rCRUVXiQSOSlXbXYg FEor2s0HkN6f94A15boj9dm0/zsT4um7337JjkvcVVQTn6CVM7K6ae/K9CHB2cp2igqzpcXp6X6P H9Ywa8p5Jh4O4/DBAziwZyccWhY9x45gtE9Dz4kehEZH4bG78dRjj2LRkqUCDosXLccD9/8CwU5a aW3BG7t3wWWzobWmCWsuvQSpyTRGRofhsjkEnAgKzLKMHhWDWRZBSjXWlRSyEdJ0N1uQSqeQzWUl m2L/jH0zgpl4Ciboh6imdfJczKQYKFE/k6buhyCxdu1a6auxyU/Lr1g8JpkSQ2llqR9uRaEwFdfV +FOmSXZFbpiyAsshGolDt+pyfTru5HIpWC0QegYzOzrvZEwmdHfOwZNP/hrh4AgaaryIRjOKMW8n 4VWHRSNJ9/0vQ857wDpdSXi6KWP2dL8CRW15mTaW6c9rwlQmoJ28+jMl6Xx2MpxiC6vYTytjwRfv /8MuBGh4ATKUoWkYWXNOpnnmXAbRyRBuWX8NQvEUjvT14+mHH0Ff/yC+8KUvYslFK3DgyBHkNQvW Xb0Ry5cuw99845uY1zUXlVV++ExqEscwMqiS200RBES0z2aXhWOZvhXdb6TxnldgxqyGnLDGBmpR OSRDI2DxsfJvw4TCLEvN6jRVGVhC5i0aFiyYh97e4zhw4K0iU18NoLiQzYxPZVR62X2rx8zjydCk 3A4/qcPDo3jyyadRUV0hDtcDQ4Nob+5QFmGJmGR//IzZcnns2rMfG9dfjt0730RjfR3sNgcyeU4z FXeQg1mW4++3/tMFAViM8gxrKrMqa8i/0/VO0+MyQEBE9bRiSVi6q/Ks7u1Cg2djWifTQ5watGb1 tNhop5GDBTZXHo3NLYiHQ/DZNbR1dKGmwoeBg4dR19CIcDyFWDqL7/34XgS8Pvlc6DYnJoaHxJuw pb0TDS2tyGk6vL4AstkEguExOB0+ARJVdqkPk+FqQ7BgaUXwkk9LETj5fwQJQyWB4EJgY7bV3tYu lyfwsQFvXFcZr+al6a6AS/0U8m9K1DDLevShh/Hoow+jo61TykmWjOSScdqnBAsJWPmp8jCvwe/z yu0Q6F58+SXs3r0bTo9a9znWcxyjJ0YFUAlWBg3DeOxLly/DwT27hVvWsWCxfP5SaT4/TkFNsJo1 pN7nsvC8B6x381E8E9DIn26OJqs/U0RNAS05n/9wwbrYizCyLDlRvO5ZknDOl5eDJZ7H2/X0P4zB zJgy6Q6nCy2tHdDyOWQpmJfJweFy48rrrkcqHkMoFkcwlkBz5xxct+KjWH7JpTh89Dh2vPgCzBU+ +CprMDAyjkBVFSbDYdj0DKorK5FMKcY5wckAEYKQQVswQMzwFmQZWNCnfAfLFUQIBDyf4McVIJZl xuUMKkQ+r47Zi5IyrqDuv76mXkDn4MHD6OvrkeY/r1tVWVv6jqhSUP2IiwF/reEAACAASURBVFSy BmnS83IjI6NCfiU4haIROR4eHUEurnYK2VNrbW2Vy0QiYXR2tOHAvrfgc9sxMjCAuqYOaE6XVCw2 q0nKXDLn32/fzfMesE4Xp3ePfveizWCYl/pCxrTQdGpFVeM/zvbqjwFa6nEY3LSzd/8zNYKTSoHT 7QQqqqswMjiAfTu24flnjqKlvhZf//3/DJPDCqdNx7bDB9C9dBHaFnQjZdZQ096KG2+5GYcGB2B3 uFBfW4mxccoau5BJBUWTym5zI56Pl8DJ0FgnqPC0wadSDXOlW2UI7hlL18MjwzJRZPOdnCtO/5wO p+wE8rK8HA/ZrBL8kwVsmfap2+Vq0FhwTHS3mO30Hu/D9u3b5fFcu/Gm4itB9rxRHhufWTNs1JC3 qEEAb2fVqlXQdGVm0RqLwmf3ytBiydLlMv1cuGAR3C4Hdu3Yjou658MfSiEei0o/z13ZCJuLjtPK 3COXyQKa5QIDrKK786ka5Mo88vSAM3WJ6dd/7/orJXJ8mSJo+Y8G1ba5QqEspPgrZqRbRbG4stUg lvMqCSsoNn6Rc/JeQpv+CzZNhSLOYUHxjbaUWV0xs1Rk1As7DWsJ2NA7HINZc8HjA+ram9ERuwgT 4+P4+S8ewdzubnz81uuRjUzg+O6dCMy5CBW+JkyGUqgIOBFdsBhXrliMiePDePh7P8A9t12LWHwS NqcdeYtLvsTUeeeqTTKTlFUcglc4EVY7gDDj6OFjmDt3LqwWm2RRHrcPqWRSfP1oq8WF41y2gEw+ Db+vQtaD2OQmqOnsP2lmRMIRuL1cxs4iW0gKI93ldSIZUYDsdNkQjIxBs2qYv6QLDp+Ol19+GW9u fQ1rLlsjmRSniwRAhpENxuI5+HxODA6NSAl5443XS+ZFTtkjjzyCjq420Z132J04fPio+C7W1tWg rqkaFZV+LE7n8NzLWzB+bA/8bhv8FY2IRQrQzDpS1CI7zftT7lVawoHi57c8AZg5gHWBlaTTDTYK ZQz1qf1FU4l28KFndn7AMTaRR22tC5EkT6dRVxdALtqJwzv3onv+PPzxn/0lPE4rbrhmPQqaDrc/ IDW/v9KGSCiNvAXoHwriqQf+A11Ntbju2mtgd1DTyoZ4NgG9yHNi1mPQFQx3ZiP7YbZi/BgTMNLF fUOD+8Tsyeh3lZeQBKIsHR9OKjN12Gx2FMBMTl3OyOKMstSm2yRLI6eL+4sES/K/WI4aqqfG9JKM d8O2Xul+2YTYyqZ+OBzCvn3UDctibDQoyQH9Dve9tRfR6KS4Xa+/9HJcddVV+J9//Q+YM28RJkMK WFOpAmw2as6/v+/nOQesdytbTl/Onfs41SNkUljexirt/BVbXKXF5TPKAGfjvYTVqiGZ5BceMGWt CIfSCFRVY/HyFRjsH0BjJo0nn3sFoUgMyYKOnGbFWDCB5mYH7GYrQsEwXn7lOSye34V1l66A3WKC VcAmhxQVSG3uImVAWdATWMqJoZz0sR9FAqgBTAagiSJEUX3UMDM1GuoGcEmznYYRJsWIpwaVZjEL 4TOHlBhJGAvXvA5vx7C3J1Viz7ZDwvFSazrqMbH0VP2wPGwOIJmKyGeRRFMawZJVT/pCNpcUakYq lRGN+YpAtdz28Z4jUhYTjK12m2Ruq1Yux5NPPI6P3/15oUOkUrQbY0Z3gQEWo7wcnO5jOPODH14e l3fbpzItYbycgnSaL2voz8YHFxYbEIll4WZWZAFC4bSYRHR0z0P38V4cGZ3AldfegL3b34DZ4UFj awcCNTb09YRhM+Ww7ZVnkAyOYO0NV6GmKoDeY4dFi8rh8sBlt0mmZdAZjD4Vl42p1MDzuUfI01zV ESNWmqC6XDjR2ytfdJ7HY4IHl5lZRrLXRKDK53KwU/KFWi4ynTZJ41w5PDvkA8VylJc1QJL3byiI VlXV4P+0991Rct3ndXfmzZvedmYbsAVl0UE0NoAkSIpVYrfESLRCW1ZixYlt/REdO3GSE8c+UhLL PrHjuEiWSUdS5BY5qiRliiJFgjJJEQRJgOgECGAXWGALdmenz7xpOff7vd/s7HLRxAJg+T4cnJ2d PrPz7nzlfvd2dHVg7PQYKrQSI9dA1D0a8ruLFHUXl7sLwkoXmeK6S55PMh7DnXfeDp83CrfLg76+ RWiLJ+S+e3oWIBRWPo5Bj0eA9KP334fP/uZ/RDY9ActlItHeiWwe8LjnIWDNlVGdbfp3KUVTxsam ObDcaz5rW36j2YazSaeSXDlLyu9LZHIVxGImigWgVLHQ2UnXZvZo/Lj1w3ch2rMI131oMwaWL0NP XyeOTzRQKABd7VH83dcegb+SwwP33I2piVEUMuMCUlySphtysVyBy60UO1lm6ayIIMVpmlISbYis MUmhnNzxd07ztm3bJudpT0Ee9Lwdm+9UhGBmxp+9CzsEHCkLk0h2CDi5TZpoZGF4FUgR9EQj3lDZ liKUqiyO7j9HjhzB4cNvyv1xopgJhyXrk2zQU0WhoICUT//YsSHJrLq62gVk39h1QEC5t2ex3fz3 i5TN+DhfiwuBcAhhw4tsqYSP3X8vnvzBY7jjno8iFqF34btvA3bRAWt21deaYc3VdLvkooX7pZ7z zKdcs5mb/KGJv7o8lOXsS/zlXe7h91NnvQaX4UbI70U+r953b9CPgOHHlq2bQX5j0arj5HgJoYgf Y2M55McG8fpLz+OWa6/EoQN7kEpNYio1LhmQVa6jQE1324BBbOT9fmUkQQedUqmpj0UvQ8q5EEAI XCzZOMl7+eWXRSamkFWLzgQo/ieI8T54O4LX6jXL4PZ48dxz23DLrbcLsFHrj4J9Hh9lmi0BKV1q 6smk5obt3r1fZJVHT48LYDH0ehCfXy47Co9Bj0M3JifS2LN7v7hMx9tC2LzlKjz33I9F+SGXLcEq UylVgXI6nRJ9rvYt1yCTzQhw33bzVjzy1a/joV/4NFLpBkIR3/ykNWjm7+UYnLY1aQ3a8KKVRGpP CZv8rdaelhPveVCyaXg4h2RbDKEgMHg8I4CQ7CAolGUMP3wyja7uLhTLNCwFlveHsWvUQjJi4hce fhjDw8dx++23YXJqQiRmurt6kM+XEQpG4HbVJGtRqp2K5ElQYXlHgMhmMtI/Yj+JmRVBhKBEThOb 4uMjo03AIoiQ4U7QIeBRMmb5in6UrDp++tOXcdNNH1IZlEstM7tNysGQ6qC8CPWis27Ec6+QE74r rliDLVu2CEAxS+Lz1MvPpoeaOyZQ92EqVZC+1L79b+DE8FsCzKFwQLn+5LMol+rIZHIolSyx/xKN sEZDMsPFi5aiULGwdFE/Rk8Owx1KoGNBGyrKEHt+AdblXBLqHlbrUz2TLlWjtYd1Bn0rJ97dmJqq or09hloFSKUa6GyPSnabLwLhqA8lC3K5KA7Uqzh26Di+8/p2fOV/fB5f+v3flb/R+g0bkMtn0bmg GwsW9iNfLCEUa0cpbyHgVeUXD14GAYGAQ6MITurYtL7yyiulvGKjWjHWG1i+fLkAWnVguWRDbLjz smRXF4rZrADWkuXLqdKOVDojoJC0dxP5AarXLdH2Mg0XipaSQNahxQYJXCR/8rl0dnc1uV/aDUj6 XVZWwIq9qkQbtexdGB07heMnjiAYDOGTn3wIPm8IkxNZJBPdME2frPAQsJht5vMFLF60GGWriGqt gRuuvw4vvfgi7vlnDyOdBYKey9iXcHZjncEm3vR13We8zaUaius1d/Cpc7+K16FXYqO1h2X/1KGz L63Trs1+zklDO0cYuvlvN/5dLUx9XnZpv7vvPOgiY8unwzBdsFf/FD+oDnj96r3hQRhy1/CPf/0l vPTCC0hGYth03Z0wfBATVZmularw+WriEt2oWvB5anAbbkQDYUxMTkgmQkpAJjsl1l6UZuEsj6gX jUWUOYSHWu11hCJBFEpqSVm03gMeJJJRpabgN9CztA/lqgKitrYOAR6XuwarpMwwSKcgyNU5taTz De1b9ZTQdOPk8WF87Wtfw9KBfqweGEAH3aSnUnKdZCiCyalJKWPhTSjLMqOOgL+G4ZPDWLJ4AZ79 8ST+7H99Gel0TjJG3i8lbJiVybqRTePo6OiF4a7DVS8j6A9g8NQIhlMF3HTrbYi2L7Q9G12oVhWF g8va3L/k/fn9KkObwcTWcQYllEsqw5rPca523Pu1e+jEzLBKwMmTwxg/cRSH976Ov/3rv8HW667D HXfcgYN7dyM7OSpTP5Zs5FOxjGPZxkyFpRjdlk+cOCGnBwYGmj0k/mR5xeyJP7mqQhmaoeND8jtF 83QmxOuy1JQJoW3KSmDg47XaitXpY2gz6nk9JTmjaAz6Ms3J0oz6hz7xsM0TqyMWJUWhjGKpgmgk Ia8pFFK0hIA/IORSZoK8zmc+8xn5mcnkZS2Hz2/z5s0zhgv8OZXOI+DzolFVrtGnxifwyt7DGD15 CtFklyQk2mijSaC2FVWFFH6Bn/mLDlhvk2OZx0dti6F1k3E+m2g6j1/+JRmxMFCNhfDon34LI4NH 8Iu/+AsImB488f1v49mnn4RVKoquOntOBBqWapQoZnbBA7qnd4HwnAg+zERIYWDpR/BiKcj+Fg9W ShTz9rt27RIgIshpLhNLtVOnTsn5/PyLjrvLJfchcjU+tepTsqeBirqgxABLJRKdqHmluGBaQkYm eIGQyDSzyc/H5+MFAxHJBuPxgPCqpHnv8SKdyYpMjrIhayASiSGZ8CIWKzSnm3x+QmatKokbWdCO JhDym7JvwkqiY2EvCg0TO/buw4K+fvjC8Rl9alHuNZhl/mx8h4sOWPMdpKbBSLXkhfgwR7/LAauL EyMnxlGrqp7TyqX9+MWf/zhcFQvHDt8kBg+73nhDmuX8T7BgM52ZCTMs9qCODR4RQCDwENQICrwe 70/2Aw2jaQyhe0gEOmYspBbwMva6mMWQXKo/K8yshNbQ2yvnaUKq1/Q2p3wc7mhahM6whHjqUr6J lKx58h+fEmcf6rrzdwIog6tAnB52diUFhHn/XM3h86dePJ+DsOM9pig18Dkn2hJyW5a2zT6YVZPm vpR3fA4eryxG79i1G/mp0/BH2pRtmGRUHBao911nWRfalLjogEX52ku8TfWuRRO0Wny4WgFLfl76 RI55FTywoxE3lq9cjTde3Y7de/bhthu3YuXAUmTSE7h28+Ym+5xZDQ9qTV/gf2q5t8XbZIGZwCHs b3tZWThTds+HoESGOaWNmZ1Q/oXgQZBiGcZSkwBBYCDQEdA4JdTCgLzvmi3kp+VrRPyvSj0tdQzx NMssVYZGsGrVaux8fS/q9Qyy2Tz27Tsgj8XnRdqEvBZ3Azt37sItt9yC73//MVE4feGFF+V6zOTY 7CeA8flTX4uf4da1ooDfi1QqL+9Fmf6IxbJcd0FnEsPH3kJbz4CdVSmnbFUiarVTDjpweQEWY66M Yz7F9OCgBbBmseKduDjBg+7Y4CQefOh+XH/9Vnz90S/jrUOH8auf+bS05tnc1mssBA2t5EkQIqhQ nZPR1dklMsksm7izp4Nlk85qqAS6cMFC6Wf19/VL+UXwoFmqlkGW38NhOc2el6ZLEED8fr+I/jF4 OYOrOfxPTlhTfbdOiZcA+noXYWBgCZ5++mnRlafQnwZRSr+whE1NptHR3oXuroWydH18aFj8F7n6 U8grmoVm4/P1s9HP0lH3zThM4mXSP4MhXovUwSK9YeeuXXJ9rzfRzLJUaTitaHKh4bnUwOpycWS+ 0NCyHrP/Ss3JqRaxmsfl8aUYXh/F/aJIF4GFixL45Kd+GS8//zQ+/4X/joHFPaL7rqdvmrmu9wZ5 kHL3jiXV5z73OSnh5KBEQ5rqPMAJLDoj4YHP2+iGvF6pIXAxI1NA4pVSj9kWVUq1VA2NXV0ul5ij 8jb8XetmtWpptWZivD869QSCPiGt7t23W8iqLGH5XEUHa/S09MxYCn72s5+VcpdZn+aWZXNpvPji i9KbY9+NmRlLS96WpWCOfomxODK5LPKFEnxBkmVHkYiF4UFNBhYi7xMONYcCTbPYn0Ep5KID1gct ZrP3Lx++2fwMErfZd2FpMjYJhOMJPPTJX8DTj38He15/Bf/yUw83v1SaPSJ7Yic7hKYbX/ziF5tM dwIHJZFliucPyAHLTIwHOsGAgKOXlXnAM2MjkLVKJ2sDCWZABDZen6at+/btE+AhALBfRsA7emRQ wIsgyPvi9VsnladGTmDtWhJHN8uwgP6LpVIRDzzwQNOlR+88SlM+GJTnS+BkkJ7Byw8dOiTARYAk wLGU5vM+eugQlgwsw+G3jgpodXQtwInhIZFVHh8bgXdqSkpE3rfqW9l8xJZ+1iUFWHPxqGYcoK3D gjls5c+lh3XpH+y22qP9PPkS+ZIqtph8wPb6ZirNpJrMecrYusjf4gVNbtrcrkDnevkVexoplgMu wNO0vbd5+Zf8+/feRq1chMdNCy0PonEXynkvjp4YxtabbsQrLz6Phb1xoQCMn55CLNoh181m0oi3 RWAVsiihIsYLpDcw6FNZKBXho/ZUrY5ioYxdO3dj7x7lAi2Knum0emxbOVQfIzpz06oOPK1twHQP bXBwUK6r13Fefe0VmUYyy9MZXF9fnzyGVhBlb+v666/HunXr0dnZhW984xu4884PK5WImiXASBE/ n48egyml4yUseOUGpK3JOGkkWPK+hcMFYHRiAuOplEwSmU2Ggn7kplIYOvIWbr5hK7bv3IkrB/pR L1lIWw0EIj4pWT0uN3wkBJJob2+4iTps3RYM0E5Qrksww5oGtZkN+PlYGs4OnRUrhVCFJi5hzyvx Zr0k7UwR36P3v0HdJlNItIODGSzujWL1ih48/u3HMbBshWQC+UIO7ckkCvkCqi4DgRBBZwKxeITd I0xNTeL0xGkhRDKbkNLMY8o0jQc7+0dspBMIWCrqTIoHeL6QFTDQE0RRVLANM/if12GWRjG+zs5O 3HzzzU3tLE7vqBBK1jwv0yDHjIvgyP/M6vi4BL1QUJVlfI7Mlq6++mql1xUhYbXRNHDVU0r+Zw+K j0UQvPHGG+U5sp+mv4SZofE+2OsioHI6qh1/uIL04qt7cezoEazY2I6uuAfFCvt6Srs6l+V0UfUE zzc8l9QeofBHpksmvVDcet35FpJHiQwNs6u66GTV3Q24BMmomTS/e3sXOyiTUihV4fJ4ZG2HRNKd bw7i2W3P467bbkG9CoRjIVsau4ZgUJV+NRiwYKFRJeD5lL67ZcHv9aNYVk12KQ/9fmnEcyrIrIVg wdDmq3SC1qF4VCqjbjozm94mX6ujo0N6TwQmXcLxfglQ/J3g1tprI7ho+y4NhLw9sy1KKHNKyNKy btYV293jQTymqBWFYkGeC4cJfH0EXK0uoXXmCca8Pz5HDhS07hflncdPjwu3bGpiAi+98BN09y+D v56EN2xg4nQJS3v8sIqq7LzsAKv5822rO9N62PLbDO30+RHSHqUrj+3AU0MdRp1rPLZhQMtLba3e HAB7dyKVyiIYiqBMJnjcjVqZE79uXLPlBvzl1/4Pxo9fi49//OMyDYtEQ3C56rIEHYvHcGpyFGbd JY37XIHTMD/K9ravVSnD8LhRqZZlA55KnpOpSTnICVTManJ5aryrpWU9dWuVh+F/2nBp3SyG7qER wNhHYpB3xSyKgMUvQGZ2zPB0sHnPTInB++SKDXtSBC36GJJuoY8pKi+0Kk8QuGQaak9I9c6kllrW z4vnazDmes8PfvADfPOb38SK1RsAM4BXXv4J7rz3Y6rkq1WR5dsiz/Ey42GdK9RBOv+ASod+STUp BJlRuVFrqExLLm9uSP/so2AnzhwB+gnaB56RDYp+GQ+ku+57APsPvokf/GgbVq7ZgGuuXC8HpcXs ycXeE01DfQi6TMl8nn3uGdFmZyO9u3uh8J4IRIODx0QllAdmKBTEgQP75XHFr9Dvl94PwYf/GRqw CA6acErw4PXy+byAEgGmNQuru9U0kZfrTIpBbtgbb7whmRYv0yx1XpdDAF7GxyWAMdMiHYN9L2ZS uumvGfwELW1soZ8TS0Zmj7rJL5/jWk2uz9chxNojh7Gwbwm++pUvY/OW6+GNtqGvJ4yRsfLPJD9z 0QFLZ1DqBbeenquxPH35fAEvTZxTqqRksrA4dDeB6vJTYL28IhJxY+x0WTKgMpvPgYBSOOjswn/4 L/8Of/9IJ46PTOIKCxjeewCuRgUrVq/A0PAQook21Os1bNy4QbImHqynTo6K/AoPWq2dTsBgdkVw 4EFPgCMZU5FMfU1KAw9yggDBjAx39oNYtvEzoF2lq9Vq0xy1lSKgVRhapY5YJh44cEDuS5RO7Ykk J5XUshIrr9FR+Z29qNtvvx2L+hfJ7UlK1dNQ9sF4X1wrYqbGsk/TMngdvlaeJnBpbTC+9ttuu024 XLW6G3sPHMCPnnwCP/fQw8jnqHXvm/bOvNwAa9Y5sy5XP+cJPr0tuLkvHzxx1aGTDUe/DUnzGY16 7W1ihq1OI068sxg+lZODj8KY4/kaQiEX1q3oxtBIGZl8Hfd+/J/ju//wt9iz9wBGhg6jVs4LeOw7 tB9Llq9AqZCVLIMHbTQaswX+qnJQM8Pq66Mgnyka8JVKWRRAOfIncZO66bFYvJmV8L/orNtL0fyv J38EhlAoJOChe13MiHKlnJzWDtFavZTnETwIjjSJIIj4vD4pF9n412s2ZK9v375dnLC/973v4b77 7pPXx9uSwc8pIftXbO7zv94h1EClS0dmfSw9eR6zOV6Pl5EoOzZ2Guuv2oRtL25HKZdFtpJGV283 yKeV5PNyAixGa0Y1exG4tVejy8P5kl0xOAucrvpsCoMtRSOv911WbHRiZnh9AXmfMxkLXZ0RURs1 vX64PSY62t2olvg38iJbtNAWT2Lw0Bh+8vzzyBTyCPgjGBkfQizWJrLJgUBQyqnhE6eUFhWXhmu8 7wwGlg4IZYDETQICsxkCEZeXNQC18r0EYGjfFQxK5iVlF5QzTtO0Ip8TljxBh6BHIGImRK4Wf9+z Z49kUaIa4Tbk+rwtwUr3xviYN914kwDbY489Jo+vVSN4fWZf/M81Iel1GWqCqJ+HzvQIbJq2ITpf 1aq8plw2K/d91aaNGDo5gtdefQXX3nw70mkLoTYvoFpglxFgtfCsWhOGZvYgb4jNGxJtKbz/1srv YUgRSFlSLocKo86FKjWrxGKcKbNaEiWWTfsaso+r+xdnT6rlNvZpNjx535Kr2SQ+3Sv7oIaP5g01 NqM56QKCIdVLYhTzig/EPbtH/vx/4td++WEs7O+WN5LGEPVaA/2LFfGyvVOpiKazGSxeuVIyo0q1 iie/+y24zSqKlSzypQx6+3uEMCn7hfF2ycZEkaHRaGYlBAJNLWjUTVnCDoc4vfMgGAgL+1yTWKm2 wLLUshQf7P99+++xftNG6Q9tuPYKLFjQg2I1L5SLcCAIj9srjXWCUivwaVkZbTUWCUek/PujP/pD GTpQNTWfL8LnC+Ctw0cwsHQ5Dh48jLVXrBTp5FKxKu46bpcXkUgYNU9NeFtuo4KwK4Cg0cAn778b j/6fv8Pel1/ANbfciol0BQG/p8m5En02myfI7+m5nMsvPmA50Qz5htXln846iTizpGnsgeJ514TT fojn1uVyYmaUKhUBqfVXbsKRY0O45YZrEY2EYNB2iwc3c+QGG+ohUUZkNkKaAQ96ng6Hozhw4BAi kTg6O7pF/oWCgNFIDKVyGbWK+sZoXSiWv5X9t1XUCK9MBCuVcnOnkWx6VYLlbSXTEkyPV5rjXLAu FHLoX7xIQCbgDaBczqj1nYBXMjfdM2MmyCyNJSH5U+RqMX768k/xyCOP4Fd/9d80m/Cm6RIQ2rbt WdGkZ4P+1MignKf7Z/o+2cgnyOXyqWbDv2TV0LNwIU6OjWAyNYVYMg7LmmdTwvke2gpMh9YM0iDD BEpklcn65dqGnXHSsZlZ17mqY21b3zzt8LouKCJtJsYn89h8/Vb8zVe/grvuuF1tDdAk1evHZCkn E7dEPC4/faYXlYIlmUs0HEGFrvIwkctayGZG4fPSq6+GULAhhFBWGNrxRpubtm5GMGshFYLXGRwc FBVTpdluTza5iygkzxIqNWY5Si2B5hQaBK2aej6c8FDiWH/ONF+LIEiXZ4IMQfCpp57Czp07ZT9y +fJlzcyLJSSlkWnvRUNXj8eNw2+9KWUgwY69LoIXJXiovMrPLjO5TDqNUCiKsBdCVv3eU8/i1NAQ 4gnF+bqQcADrEojZg4fpTEuv0djyxuSwcIWHH8R36PfmMOfPL6gzN5XLY9niXlAv+cfP/xPuvf0W VItFeD1usdD63d/9XSxbMoD+vj45cPPZgnzB8O9YyFdw7Ogw/v7vviXAcu21W6THw6xDdgYpL9wC UK1TcEUcDUqDfseO7dj2/Bob2JTkjF5QJkjQKzFfLMhkkZlPW5uy9NJ8KWZ9jaoCKG2SIsavdLAu FiSD41L0d7/7XQHSe+65B1esVQBGTSytjMrrb95yjahBEKBPp8bk9bBPJnSMcBA9fT0ydMgWsnK7 HEtJD9VNI+hd0I14NIijbx3Cgv5++CPKyed8wwGsSyTUB2la1UE78OiNdpVJNWA0VK9LMeHP977V z+b9O+PF846RkSx6+ztFC/7ejz2I//vVv8KKpUuxrLdbDuBYJILjx4Zw7VXXiA1XWywh2ceiRX0Y GjyJu70GDh0+iKeeelqmdQ8++KCAB0GF4GKVc012ul56nha7q6NRV3pab+zeibvuuktUD1TGoyZ0 zJg4maNW+omTwzKRJJAQsNiDyuUKqFoVAQsClstlIBqONo1X2Szn47BBz0kjXxOngeuuWCfrRlrf i6HKPiCRaFNcLHcdK1YvhWmYYszKcpRTUK0EIQTZcBSRUBjlfAEVy8JkOicaWvuPHkKDLN0LDAew LqGYyUFTKFO1gUkaky53c/dQy2HbLa6z3KdTEr6T8HsDYtoxlSphPX5a0QAAIABJREFU3brVeDLZ hd/8rf+Ef/Wpn0dXIoZ0MS88p127dmNkbBI/97EHRYfqtX0H8cr2V3H04F4BDh685DqR3kDayqL+ HvlS8nkjknnpqZpezdE2XB7DlAyIQBKNRpROlmkgEgkJOLHSI61i3749ttxMCiPjYxgZOSlL2ASs UqEok8yQPyBN+A3rNjQtwagoQX0uTgjZc+PaznPPPSe/czLITFCXqfzC5O1YbrJEJX/19FRqhtyO 1pPXrymfK2NBR6cAluxSFspwBSI4dXwIvnMMjOYKB7AusZjOsGxZWXtaWHcrF2mGtgjjVW3S88/0 OA4Z9dzBhd3Tp2kE4Ua6ANxz/wP49e9/G498/et48P67pE/1hc9/HrlSGX/7d/+Af/jOdxGKtcEf joicS3nkpJRQV161USze2Tjft383li1bKjQEOs3oXpKeFPJ3NqnZTC83lIcgjVwZbKbL5X5T1olo wSUUBGZThTwmJsall7V7924UyyUkkx3Ipsnd8qBmsR8WawoS8iczLD5P0i2oh8XHZ3moSaxk71Pz S/XDaGZRkt8JoCxVV4fXyPW0rZi+X2ZlQskoAYloFPl0BvVqDalsHmY4ivF0Bh6Dux0XFg5gXQaS yowWsr+E6mmdv3V0a6blxPlHMQuEg15xW85ny1i5dgW+8HtfxH/9z7+JeHsSD9x1jwCDNxBBvlzF rn0HsPnGGxFLduKXP/MZfOXzvy1Tu2PHjkjW4/N78J3vfAuLF/dLv2v4+MlmZsUDnRkNwYCNdgLH 8uWrhO1OcDMMrsNQN11RH5i1lUsZUQClow1Lwmp1CaJtHACMIhpnr6yIQi6Prq4FKOULIlFMINF9 Mj4uAYt9q02bNqmdQXt5uaO9Q4xT/QGlIkEdLWZXNFctFhU5lDSZaRec6QmnFj0M+uICMo1KFQZJ 0aaJct3AKzvfQCadQjg0vfx9PuEA1kUO6lMqSRnNFFWNdlrpMYxGVZkNNLi0o0L/rHOfyz7N5Frr XpHTwm9DOd9QY0bhb2nhoRlcNifOFg1DZbGWVRNPwUIFWLv5JvzHP3wUz2/fjhVLDuOKtWuAahFX rVyC0yPDaFhV+MNJfPa3voD//VeP4nd+57eFv5RIKDG8tWtXi6wMFUCL1aIAGqViKN/y6KOP4qGH HhKxvtO5USyuLJavJ2ZmDOWWExdgo9uN4TVQLCnwaE+oZWhRJF0SV32qdsXxkn5YXH1ytE0YsyD+ /PGPf4wVK1YoT0Ou/9SqAlbMvpjJaU6Y223A6w3I5NNjhISlnquNqSxJvDSnP78EeNOgL2cKLmpy NXgbBbLkHq5Z1o/Xtv0Qtzz0KzCoMZbPI5EMYSpTh9vLUhgoFiiuiBnhANZlEvyQ6WnSXLLSTrw3 ofo3iqSp33tmOiRasox66fU3kMrmsLC7Xcb6fvZnRifQu9KDW2/ehP2Ph6XHRNBLpSbkj9XR0YWB 6IC4JfuCfgGKFctWSpZz7933IZ3KYN3a9SLXwgY2m90ElyxXahIJYbMzA9Mu07rfpWPakUZlO62X zz6fpR8zLD5HDgO4EkYiqTj0eL3NrGla1njmjqvpVmx5AcWaPSho5drUK4Dbi3qFk00CotL9WrZk KZ76xydx9d1ZdHUmUK5QaNAWNeRotkEy79uNhB3AusSDxFHljmuPo22NMP0BdM8mlTrg9e7/Dewv BTq/8PjlfwIHG+Av/OgI9h47gTcHh5BMJHD0xAjiXX0oFiuYnKpJaUZOUndXJyKRALw+E/k8TVRN WdmJxJXcDKdulLXhfbIfJSqf3M+zVHnF5nlnR7fQDNqTnbJMzb++YZCTxX7ktESM/nwoRQVFa9Dn t/5ktKovELzYhNeZl/6SbL1NKxhJH9RQPTTpi7nq8r+1P2qQi8OcyvAIh5BZIe93+fIBmUByjag9 ucXWolfZIR+hXK7BT0lSB7AutxBIsj9AWm55Dk2s1h3Mi/Zc51/otRmlzUYlUNWbYYOZ4/1P/NKn MHxiBLt37MDOg0cwfGIMGzsWoTPpRaEERGNKk72BcDP7YAOcBy4b4OwrkV1OsmXPgh5MZaYQj8TF 8IHZVa2ipGgIIrV6TagDfHwtSUwW+lyhjSj8/sB0Sdg0M9WZugvbtm0TU4mjR482TTFaV4N0tN6m 9Xc0tKuzW5b3OVJtva7p4QK3JXZiXHsqFEoocgcyGMZdH7kT39+xE+uuWA9/MCjZlN/vRqUBZPOW cL1mh5NhXeIh2VXLT83X0hnXTNcdBVzzaDf8ogfbQJWKOuA1d0kHj1dODmkWeuMdH0E06MHhN4eQ SZPGAEyMZ/FP//Q8Hn30L0WpVJd2lFzWigdKVdbVBBiCk/YiZFStupAwX331Nfz+7/+BlJ2UqCHl gOXgmeSH9PnaJVrTDDRgaQUIZnI0pGCmw9O8jhbl08KBrUTW2Y+lbOt4mVyi3xmh4PDzSbswWpCp yaReNQoIhYLM+q//6JUWv0X1fmuqDk9T8bU1HMC6xKOhdwtbehT8bKhG5/Q35uxe1nzSDLuYwYOo tX/DstDt1iWT/WdpeFCru2DVge7ePrR3sEEN7NjxAn7jNz6HG264odkP4oSOYKR7Q8GAXxroDC3c x9BuzqUi6QNebH95Bx64/6PC+frwnXdJv4mlozaDOFOwaU5A0FpVuszTgMXm/sYNG/GFL3xB0RFM L0p1RVsg4GiF0dn9q6ZxxhwN1GnJ8wYq5SpC4TBqrqrwwUh45lRzajKFVEEx7LXHolA6Gh5BJQI6 lZgrDmBdXnEmvtTs5ufspWl1llMcvtOoVKYJndpLj2DEn6Jl1nDDa4s6pSaL4kJTq1jI5qp45ZWf 4nOfuhdLSRhFA5lMVjIoWmexF0VQOD40JIBFUFqzek1Topjsda/XQFu8vUk9WLJkiQAOxfeYMWkD 09mfhdayjbuHrRPB2dehtAyDDX4+JsFEZ3/a6Xn2fbaeLpcVR0v3zGb6DrK3xWtyYKHUdDVrPh6P 4bXXXrXNMzxit8bge8rJtrIpe/vfw8mwLvWwlwa1NpicJT14G6CoyTFjaXp6V8yJdx6aEMn3lkvL +ndN8vSJ4zLgC7AEzGHb889i/77duPnG67Bx0xXYv3+/8K06ksq5mZHOpHHo0Fuiq75j+ysCWFu3 bkXPwj4R9GMZFgnHmhrvPMi16065XJb/BBftR9jao5rddCdFQa/8tBpc6OtT0I9gpZ2lqTTK18W+ Go0lOJHUGRn/a0a7nppyj1H3vfRl+jGkX1dzo5BRzkBegyz5KtITk4gl4pgYH4c3sVRsyOpQ2vYE Lv05LhYbML2uywuwWtGaelgqppU353vVI41MRosXoTpfvQ3NcbWtDSbfcq1TnRYqsV7rkSzbNqLW GrWawyX3aS/u2veID3JQJ0v7o3DSxdD9Gl6WzpekP8UthGDIj2QkiAXxAN74yTP455/4KL72jb/G Ax/7OPLFPMIBPyqlMlzVKr78Z3+KUyNjuPlDN+K66+4TKzASNKl1pXwB0QQbggH7SzW7tOPBTxqC ZGYBJZLH3w2XV5r2sWhcaWuRN2V4BeC4tMyMibI0dJrWocFGlFJteWYGgYvnkx9GmWXRs7csAUkS Wdn8Z3ZEkHniiSeEdMrSjtcRg1kb1AmMPO/uu+5WGZvHjVg4IaCdK5WwuH+hvDfRRBT5ElCqN+B3 0fnaRCFXfRtEXfKA5cR7Gw6P651FNEoeFZDPN5BIRrB23RUYPzmEwYP7ZG8vkezAzt17cOXa1VIa mX4//ttv/45oYn3uc7+BNWtXyDSQgnksEwksBCrdeNeTMl2Suu3yS2dNJJWSIkGQSGXSAmJ+n7L7 sqwskrYU8onhE00XaYKS6sepclLvArZmYAxREiXR0zac4GSS2Rgfi5QM8sKY+fE6nGryOtpEQ/O4 SEhlkISqhw4sj/l4BD0CLU+zdNT9QjoJke/cyi3T4QCWE83MTe0vOm/IhQQ1ybQ2VSIewKJFi9G3 aBGeeepxTKYzWH/l1djx6i5sWr8ORVrSA3j55e246eZbxLE5GPLKwc/gAZ9MJJU+fCQqHoFcrdGi fS7hMalDVmtn5TMZOZ+0CC5gp9NZMT2l7hbPP2T7H3IqxwY3+WM8f9myZc1md2up10p9YGzZskVk Z3gZ+2h8Hmz8K6a9RzI/Zl0iJ2ObxOr70VmhPk8Do16mJsjxOblloboVsNTKGQccswsoB7A+4DHb mWi+l9jvdljFGnxBpcHOYZ/pBtasXYdAMIofPfMcbvnI3fjh4cdhGD5MTk1h2zNPi4zyvffei2R7 O8bHT4oePA9kMt158PNAJoue1AU2zcmIl/WgihLsYzAbo0Ca6VWZjNbHGhw8Kn2lpjKp19/UYGdG Q5Biibd06dKmpM3sDEuHJoTytTErE4UGUiHCyrpeZ318nsze9PBAW4RpwNIeiXr1h2UtH4/PU/py VU4D1UYBLdHYeCd4mYYLNYc46sTMD+X0T51hOaB1/sEDjAeX3+8S9YSKVUVPXz+WDCzH8y++hFvv +TnkS1U8/sMfYXL0FJ754Q+wZvUVMvEjEVS73JCiQODiQc5siI7OJIVGKIwHqpJ6kMmkmxmWGgS4 kMlnFPXAVZcdxWiUtvG94osoZaNr2hqMWSB156mXRRBqbku0LC/PZrbrRj+BhhNEAiX7W9rOi4DF 8xkENbkvu+9JsNK31f03bR1GRr32UFQDAJfsDaqH5X3Ypx3AcmI2YDVBahaPy0Gucwen9Ol0Cb6A Xya6NJ6o1EwsX7VG2ON7DryFVWvXYf+hIxgdOopEeyf+xS/9Ijo6uwWwmJGwj8OfzH7YyGaJKGWd zyeTOlq+ky/17LPPNlUQFE/JAxjKDzCft9VGT41h48Yr0dmpuFxtsaTqb6VSzX7Rdddd13Sa1jQE XkebYOisi5dzt1BN7IrT3DCbTMr74mkCqlY/5X1o6oIWIdT3Ow1OCoUIeGK00bAnmPYkXHHb5v74 OSXhBzxa105mr/VoQqoTZ45aVa/vKFY5jSAyuTzWrtuA9NQkpnI5PPjAfchPjuPogd0YHT4uGlWc kjEzIX2A/SQpnUyzSSfgQc6eUCwWFhMKSiC3tycEJJi1MPi43T1KAYLTPFIi6DFIkUCu/YjZBJts hsqUOCEkjYEUBm2CqgGLj6cnkLo8lKyItvem2aRP8PoEGoKSqIjY1+P9ySqR/Tq0b6IS/KsKIbVV oFAbtUpZ6jHhMtygHwfbVxq0WifcOhzAcmIauByAuuDgcnFbmym9lny+ikAwID2ZlatXyV5JtKsX lXoDhmliYNkypMZH8b3HHoPPNLFx40Zcc/XGZpknhhIVRQjV2U8mMyWnmT2tWbNGpnJaJI+Xj08O SwnIRjhdpGkmwZCExdUQtVJen844BEKCCctPAo6mHrRmWBqUmsBSLsttW/WudFNdk1x1Y50ApteM eF9qDccv2Ver8gMfV5eHvB1tzCjjw/etWiPPTWVbc8U7B6wWjd63sa/lu/vsMqgUFDt32KSjWfFB WD2Z8V7OsW1vldW3osuwWcZUE5hFND3r/VMAkHaINklLjC7s6dfPKGb6gQqqL3Dtj3+maNgvqpo0 Ys2Va1g4sEqa4lUezIEoXL4IBjbfLtrq7CM98t0nkOjsQn9vDyrFIiIytRPha7z22uvYu+8AGkZe bO1XrV2OUiWPuiuGKjXS+HdzuUSrnQc/TVzLJWZ4AUQibahwT0iIoarRXSKvyqd6RvQvZBZWsgrw miHZ7SsUiyjQiZrmFWWV4Ykdfa2EfIm8Kq/wukjmq/KYZTM+EKEyn3xGWc6SuqDLQl0yWvkKvB6f vKpAwAurWkLADOLo0ePoXdiDhi+GMj02RZGyAa89GRRsey97WGcCjw8AplxS4fCq3v/3uzV0iaW/ VJoKCIYHpt9oWtizROMkcHxsAksW9cP0+ITjJJZfbo804pmpkMfU26PUSTs7ulGxmL2oyR3vNxkP oGgVZcG4aqhdRcoYB4MqK7IqVSH/NsQ/UfO3FHAxqNFFagGb/LxPGkrUPBUxuaAMji4PVdYlr3C6 MS59hGlm++z3geEL+1EuF4RbJvuMVe4zFpBKTdHz/ILf73cFsGZr5JzpMife/Zhb1M/Ra3+/QrHg Z37Gdakjf5cGnZs9zUTBML1CivQGgqJAuvfAfqxftxbRSASZdAXBUEiyIqtahsdrYNmyFZK9xCIx tY+YzdiegEoBoepyIz1VRCCgyq16nb2vNPwBDyrUwnI1UKtXUbe4SmP/V86K8vxIo2Ap19nVIWs4 FCdU+louKeNY1ukpngIhG2Ts38+VxLvqujemhPtEdLBWR7ZYQrKr+/0HLNUYa7Wimin0dW7AcpiK 7yRmSH003m6W6sR7G2fKLJqrUW4X3B6gZjVgVSi3UoElKgYWTL8Ph44ew5Gjg+hb2IlcOgWP6Uax UBbvwYULu8U5Wno+Ni3A4/E2BfeoM+Uzg+js6FItAL2a5WYTvYJisYBQ2CcrbcqtR7HjmcG5XIqI mpoaF4BlX+uttw6JiQVBq1It2y0GvUeorq9fczPrmgNCZqo5eFAs5ODzsaTkbqAfdbcb+w8dRqhN STpfSLyLJeHMJ+zE+xOt2/P6vec/R6nh/Ym5stkZPcYqdbTcsGp1eDmBE91fyDSxe0EPnjg2hO89 /jh6u9tRLmTQ1ZmUDGsiNYWly5Y1d/GYTRmGIdmWttJi+UjvQNIViuw/RSJSSuq1GNXEV033Rp3U ATbyNWCp6XB7ol12+VgCTk6eluxMAV7VpjXo6d7cnzvD5ZsB0k25ZLvB7jX9yOfomFMRuobb64Xp D+PVnbtx8223XYQMaxY2zZVlOfHeRWs52BT3c+J9i1ZwmutLQsACbhFg5O6+j9lWTRk0sHd0/dYb YRUK6OnpQ9DHpd+gZDeLGy4sWko5maqt8qB6Scx+6FjD+42w4R7wwUsnGnufWfYFS+xBqeVl2nQx M6NSKg9Hut5oMT3eB/cQOcUjuNFAlQqpSnlBEU7RUBQFApz6MrQngvbivccVmvGl2QpY6vpuNOpV AZrJ0xOSXZUaBg4eH8a6jVdf8Pv9rtIa5sqyzvVN72DaO4u5lCanzcGceK/jTJ/v5pe1cJF4PUPa JxywWVYDdY8LLsODdVdswP59b2DFqpXo6UrAhRqq9YqAG7lJFm3evaaQTC0hWRJs1HJ0rVGB4amh Us9Lg5zZEUvG5557Hl6vYrJPpkZswFJKeFoWRvpflbosYZOX9eyzz+DXfv1XhLhaqVhNqkMwqACJ aaGcV+dUkJmaKgtpQtEqiazBSlMdStWKuD8TVDl4cHv9mKTefSaLTLGICy0K3xMe1ky5VOfgeS/j fOkLTrx37//b15xmDqFoxyanZ/2t6OBMOgLXaJpSxuUCfAEvAl4/JjKTcNepFVVFoZiXPhPLP9Pr EaHAXJ4Gqcy4CghHgqLscNttt+HUqVF4TVWqtbfHmz0nytdwfcbvV5fJc6spztVrr+2QSSGb7FNT ihVP2Rxactn6tnZ2Rfa6oi3wd4+WP2p9vXZ2pQ0uhGdW4xJ2CUHTJ2WtQU17e6XnQsJzrgyICe3c fyibak/F+LOEk0G9szib2iijKl/FijPFDy+33OXjxW9zLsCShHe20IxiuktrjSzbw5AHmMMsPnvY rZrZf7XmqYAbqBUAn214S1MJj23hzT9trK8PJ8cnEAnGEIQfpWwKgVgcxZoFk7t5VkX6YKYvgLDb A0tWfypouAxY5HwZBAfag/N6VfQtakf/4qQyrSBXyow0wWO2BZfKitROYndXF4aOHcfAwAAsfwWu hiH/9eKymhZ6YHr88vj8nNBIgqFJoPzP0zpYaibdtMLxYDKbR7w9AauYhUGZHRezrTbJOJUYpfqp PuD6+U1ruOn4mT+PuqnmTPkubrROA53J4OUX3MUbWLEMe/btxcKbb0CiK4mJsRH44iHUGlXUq6o0 mz199Hg8AkpuqD1By6oiFArAcJuqYV7jaoyyzppWqG2hW9j/W/0udZanwY1hehTwDA4Oih4WMy+W kNonUcihtruO3i2kagMzOXLH6pUCs6JmiUlQS01MSa+NZfKFxjkBq7WZpn/OpCw4fOiLGfInmLW4 7MTlE/Txo9V9O3lQqXEkklE0mDWxDCxkEQ/EmlwohgYEvbOXbGtDNqtWbcLhiL1rSPE+Cvt5YPAQ t4cxcihLWToNWC6o8o7N+TrZ5g23gB6JqLrXxckj2fZ79uwRwKLSBI99yuHoJWn+rleKqM1FsOJu YcBTZ9KPKjXsa5SUNmSZO9GutOrnTFDPEp7z5kk107ZWstxMwqITFydUo33a5suJyyf8wRAKlTKm chn4l/cJK9wf9KHO/hDLezvb0UTOms3HYtZDcBo6Om1iMXxi1J78BWT30O+L2hLPbz/Gp9UTVDOe YKPLuaYShKhR+ASkKIvMHhozJ043+fj8ndkce1Ky+G2asnCtpWfEsqyYFT9NAiF1rlgeDp8cQXt7 xwwnqHctw5qhl9Sqr96cAl7wYzrxLsa0+YRDGL0cw/T6sGHjVfj249/DxvUr4CUHihM2NBCLhFCz qBNlu9K4KXRnYSqdkl1EgtPo8JjcDy8vFqlTVcOSxUuFTBrkrl+L1/tMfwTb79I2ffD7g0JE5W4v jV75X3PACEQU/CMIspTT+u78T3Diedq6jODFFSPJuHx+5Mt0EmqoXhS1uRp1KWHji3sFr971DEv2 kGaAFk85KHWpRKNFec+x+br8olIDBlaswaH9u/HI176Bn3/wPnR3UBo5i1pFqzLwS4mNc5I5aUyh khNmN4sW90omw2kjDVxzuRIWLuhBW1tSrO6rdSVFw1CEl4aI8GngYgbFYDkpmZC415CHpSRltEoo QYniglrehj+ZebFEpRgfdxh5XYIUQYtlJE0nCHYcBhAAhchaLqFkVQX0CMAXiljnzLDUizjzCoIT lwZgKXa789e43ILSVl5PAPd/7BP40h//Hl58aTtuv2UrDLcbVsFC0Xav4QHu8XhEXoYL1FoKpl61 ZHGaKzxcvSnkLbW+4wsod5zG2xv2nCbr41pLzOiSkPerp33MoISC4Kb8i2qat4ry6etTwkb3xKhz xetpA1bD9KGcL4MLlG6PFwWhYhBxyQe78PfrPABL/eSbMXc4PCsnnPhZg4J1kQBQnGrgV/71r+Er f/IHSMYjuGrTeiF/8kAnYAkJs6SMTbXIHk+HIgEpsdLpmoAWmes8VhWw1OCmXpCtUyW0F7ti0gva egVHDC3yJKDmZ6iJchJI0NJ9NGZa/F0mlLYWPDMuUZkwDOlrEci0YCDxoV4vwuVWl1Npwu2xzS4I Kcql/rzDQ4vts8V0X8wBpksxyIbm34YiIsLFkjGQyrTVB1aZgM5FMHU4chc/vG61rpMRbfQEttx8 B154bRf6VixBNBSEWS3BqqmyzufziXaVMlNV6zS5dB1+Myrlo7tuylpOLB5BPqfMS922bvpMztg0 D8xPi7C6auS//vrr8lN8DH0+ATEtvsfMjiKBvEwL9GlQ09kUT2tgIw2CQHo6nUMhk0Ypr1yva24v TqYKWBJpQz5TRTjE+6ii5nLDH3SLZ2Y2X0MgYoBsCRefi0mxQaUM4fACnXDiIka5XEGhbMI0farM qvJLKIByEZJ6uf3MmAC/14tcLoOTo0Noi8bEbCIzlZasikoKdS+F+ZShRSHP6V0NoXBERPXO1soh AOlMifwqEke1DLLWgidNgVQEyjATkLRcstZuV5kTaRgFAS39OLzOyis2IB4OwSrmEQj6cHx4DINv vYm7AyYWL/Bgx4t7EG2Lw/TRrzCCcqmIRDSOfLaAsD8IX4ASyxYKU3lZnnYAywknLmIkk6bULn6/ ialUDqPjUzh4cBBfPvk3cDfqiLT54eMKj9+LazZtwNbrNov0cnpyAslEO06nJ5T8C3idIEIRv+wI Ul6GjtBev8p+zqRYK6Wdyy19MZZxBCyRLbZljFeuWCkaXKK04HY3QYohTXSbNEogI/ixJOR5BDxZ IwpG4PcYyGemYLgaQmkYOT6I8RNHEQyYeO6Jb2LDpo1IJjrg7+9F7vQkuoIrcXD367IqNF6iKqqd JRZLDmA54cTFjHS2ilIxj2Q8ho7ONtxzz0dxy4fuRLlQgFUuI1vLIJ2aQGZyHN96/Gl8+S/+Cjdv 3YL77voIMJmFEaQhhAflYhFTxUnULW5nmQJAhseHYil/VsBiVkSwYa9KN/ZFNsb2HaRSKE/z/ng5 V3V0CUlgIyjx9nI7uCSjk0zI4xHiKHXaCVSNYFDJ1lgV9C3oxImjh5BOjcNdzsCaOo2R9ARQzmL/ wYOoZifxzPe/jzVXrMfo+Jg8dizCoYLLASwnnLiY0ZbwIDXhF72scpZmFX50LgygXFBt48nSFFat 2UQFQNz5kfuRT03guWeexB/8zy+LFvzVWzdgYMlihAJ+NAw3DK8L1XJFGtsUzmOpdbagwzQne2ya 68Y5wUhPA0lZMILKV5C/cyKoV2y0izMzKiGQ8ro20Onz2VWt1KmgWpWl6vGJCazbsAmjp4YFjK7Z fC3chomhoSGYE34BO4obxqMxrF25SjwjlHSzTad43/4yTjjhxNuiwMVoalrJzh6ndjUUSx4ZmpAi 1Um7+lwDHhd7XHU0vCF84uF/JXymV3dsx3e+90P09XQhFvNhYFGPHORBMyDqoywLNWDNXqnTp9lz Uk18pTBKCoPVUPIyokSazzWZ70qPi+qjhrLyomehPE5VAVTFamZbDN5fUEpSn2SLx0+Noury4tqr rsW+gwelb2cmOiS7K7JvZwYQ7eqHK9iGRas2oKN/AN1c8LYnouVC0QEsJ5y4mJFOZ5BMRkU1w+dz oeFl1gK4qMjSAKYma9LDsmp0pgkikQxiaqqKWsWFD91xC9avvxqnT5/AwQOv4cjRIYycOoWx4VGs GlglhhVut6JEzJZ9mSaOKruv/fv3K2NTcrdE+kZp0TNL0rbyzt8fAAAKAklEQVRfupTUDXaClDZn bb1PrbklC9WlghBFjx4bwhv7DqKzZxGWrV2PrsUrlBpIrE1kZ5Zks6KbRVoFhwiR3qWohRLoXelT z9GtjF+dDMsJJy5ikD1OVsDEBOkCageP0j5cXOYSczSsAKxed6FkAYUSG/Qe+IIejEwBQTOMvr7l aEtEUS6MY+jIfux46WV0JzvR37dUxAlaAUuXdvo8ZljaxYfPhYanpXpJyTIbNUTIgG9MC/IRuNjL 0nuNvL3OuBitTXiWluzRlwo5HDlyBPsPHMKNty5F0WoglmjD6ckcUkUSGTxwR9thGS54oj6R4Onu oNwzYHjbxHOuQrUHUimcT+v82CWkbrjHsD1NbD83sXmq80OmmpXieaK1rvS6dM0l33QkPpMbLHuJ tgaHo8Px3odRd6GQBgIeH8D/Nt2xSnI4PHLwMsTnxlB/FMpfcaWHKgihhAvHTowhGQshHKWvoYEb bvHi1Vdewz0f/TSMupJTZoYiJZ3LjUDQj2IupxalQxEpySgdk0gkkM1lBaQYk6nJZinYqnWlXIAU 851AVatUxQ2oVCzC5zFQyuUQDgel70SJHDMQxNDoOI6eGsXDy1djslCGPxGk4Du8TCX1Z9kmkRoe IGfPCtyUWLbXAQ2uDL0PfxMn3qewBTTOeJmzujP/4s3BMXS0JVAu55ErpdGWaMfP3bsGL/7TS3js 8e/gY/feqQinXr/0tKiLNZVKIxIMw6CNV6Us0zwCE8sxghIdoglQibaEnBYzCpvSwJ8sGzX1gVM/ abLbEsxlyaqoEOGSktZl+jE5lsLT236CP/6Tv8DxkQkEYib8FI68WL6ETlw6odnrGrcUgU+dofek Hf2s+RPt8U7EokBqsoZA0IV8MYfn9j+PSCSAqfRp1F1VWCznyjU7XzHg8/llJahatuCmEgR3EAsF abyTQiC/FzmmBELBkFAblJ68arBrKRnJtIy6KgdtAUB+0Eyf0pOn+0++WsXv/68v4df/7b9HuW5g Qf9ieAMeHDpRQHtHEJZ6mPMOB7DmSTR1ytRvb9ukaipuOFob8yq8JjA2XhNzVH84gsnTY/jjP/lT /PZv/Ts0qJslxEsfJjNT6F3QK/IzdIWulNXyNPtmutRjL4qsdsmiLEtAjOs0+jICE7lWzLjIgCdJ dEFXt9yeWRxvG4snhCYRDIeQyZfwzaeexdJV67Fmw1WSXcVD1KOH0C7s/v4FhQNY8yRUE1XJAc1V +inAUn46Z7qOE5dflIsQpdBoLIBMJgdfMA6vL4JAIIKjJw4gNTWKSCSGgI8cpxx8Hh/Gx06js71L PjPaMFW7Mu/YsUOAiCJ9PJ/loma0c6+QAMYsjKdHRkYwMTqKYrksgnyH3zqKFatWC5eqo2uBXD48 OoVf+sxnkMoV0d6dRD5PJQcD7QkfCjmKcV1YWegA1rxTHlXoxG/CuS3AnCxrPoXHpGqpAdMPlCaB eKQdd9/zUXz7W9/HogVdKDeKKBeOiX3XxPhpXHXVVXjhhW1Yt24dTp4Yhs8XFEBixrR8+XKZ+hGc KH988uRJASeqM2jlBjbmKebH4O9H3nxTMrH2zi5Zu/F4fRhPTWFkPIXhkRHccdc9OHlqDAMrupHJ cfppwGcC+YwFv9eEVKoX8nrfm7fRifcrFChpk0sFSHMlT4ooaAOavZiqJEacv9XlHKWiBVgeoOxG KByWv/B119+MP9n2PO646VaYIUPUSUE9dZ8Pixb3Yfz0CvQvWohiKYOANy7TPi42k1JB0CIQMUsi kBGM2tramo15ysswyyLAsUQk275kVQSoIvE2hCIxVBsGpvI5FIplLOztQS7PbMxCd7cX4+M1+KiF VavAJWB1dib+7HAAax7GbOXRuS53KsL5EX6/V0imVh0IhICpsQoWtreht2cR0uk8bt3yIRgeF44f H0Tvwk6hvlx/w2a0t8XR19+NgNkujXRF2DQkg9LgdPVVV8veINnvDO4JarE/arwz0wr5vCIGmM7m EE90YmIqjVzJwu49++ByewXwSHEIhoDBoRw6kmFQoouUDJ/pAqZdwc4rHMCaB6GzpBpHyUygGoqV LL0JU1MaSMDiKoVLCadBE7NUjSj8LNF6U+VknQurzrLpJR+lGhAJAtkpC0aDSqNApmrh7k89hC99 6UvYdN1SAYyOrgByhTFRI/WYfkxMlRGLLoC7rjKvWtWFitWA2+WFx1cXxx63UUO9pvYIGQQ0hnaR ZoZVN/woW8zC4ihlJ+A33Cg0Gjh4ZAir11+FUDgoOlypySpikYB8FgulslD56z4TRrXV2Gbma3tX fQmduDxirpJPZ2Dy42I8KSfetWg0tJEE12eUTRfD7wtKFjQ0dEzKNiqRUkOrQZZ73YDfE8LBwwex bNGATQzV90G10qrobFVrStvqbCGMeDE/VJrtZUut7TC4tkONeb0krbwUKcvsQ6FQRSZToYbyBb1e B7A+YLwsJ+ZXuOj5V50GrEbdLY44dMFZsXwVdu3aiVUrBpAvpOHKVGT9ZmjwCJKJLqxZthS5QgFm I4BSuSC3r1TKqNUrMD1BUS+ldM25QjTabX14o6YY8Dyttei9XhfKZUWVKJUo7zx9mwvsuTuANd/j TO0sbcDq0Bsu73BxraquAEDZvdH8lFIvXixZshw/evVJWT4OBSOYnBhD0O/Fov4+WOUKxk+fhOkN Cdjl88pzcLad/bmiyXgnl6teE2oE74fZFpv94c5OuR5Xx3iekp1RxhjBoAlr2tTnvMLJsOZ5aMNb hnL6fbs9mBOXb7ianpQkdKqlY3oL1qpAe7IL6zZuxmNPPI3bb78Rff0DODk8iFg4jFgkBtOk7pVd SqIOr09lRS63R8ifpDPY7aszhuwTek2U8iVppAei5GkpkilpEf2rVqFQUIvXfj816Smp4xaaRKVy YeUgwwGseR7Nb8s5gKkVzJy4PMNFsHEp6y7phXPgAmqsUzrGhOFL4NU3fopEZzdC4TgC0SQM04OT YxOIhsJwu1S2E42FceLEcSxevFjut1KhyYT/nMaB2sGHGZ7JEaT9uRKd93odoRCllglS5HexxKTn oXLlIYjZ6/rnHQ5gfUBD87KcuLyjXic4qCypZgEeN09T5aEhyg4br74JnmAEe3buwA+e/D1cc+UV uOfDd8Bj+FGw6vC5ld7VwoXd2L59O264Yaus2mh2u0HphLOE7kXJbqHpEcWGQ4eOYnJyEl29S7Bj x26hP0QiIXGmzmaVk7RkcvyudIijTrxdfmbuieCF9CqcuDSj0ZIli6qCh70ioGqp8yYzRQRDSXzo 9o/gjjtuw84dL+BP/+wrIqt8zdVXY6CPrjsGenoW4v/+/bck8yFQBQNB5As5ua+zhewRmnS2qQpY sgzcuXOn2Hx19y3Fn//5n+PTn/40br11i0wHs9myPE/Vz7rwDOv/AxDC9zxwSP5FAAAAAElFTkSu QmCC ArcGIS Content Team Esri 909-793-2853 909-793-5953 380 New York Street Redlands California 92373-8100 US info@esri.com 8:00 a.m.–5:00 p.m. Pacific time, Monday–Friday ArcGIS Metadata 1.0 Esri; Esri Offices 800-447-9778 380 New York Street Redlands California 92373-8100 US In the United States, contact the Esri Telebusiness staff at 800-447-9778 for more information about our software and data. Outside the United States, please direct all inquiries to your local Esri Office. This information can be found at http://www.esri.com/about-esri/offices. Software purchase price Data and Maps is available only as part of Esri® software. File Geodatabase Feature Class ArcGIS® software To use this data requires software that supports FGDB files. http://www.ArcGIS.com Downloadable Data Esri Data & Maps group 4.38 or 7.95 GB (gigabytes) Offline Data https://my.esri.com My Esri Downloadable Data File Geodatabase Feature Class U.S. Counties (Generalized) 2016-11-30 2016 Esri Redlands, California, USA Esri Data and Maps for ArcGIS® 2016 - World, Europe, and United States Location: \usa\census <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>U.S. Counties (Generalized) represents the counties of the United States in the 50 states and the District of Columbia.</SPAN></P></DIV></DIV></DIV> ArcGIS Content Team Esri 909-793-2853 909-793-5953 380 New York Street Redlands California 92373-8100 US info@esri.com 8:00 a.m.–5:00 p.m. Pacific time, Monday–Friday In the United States– Please direct all inquiries regarding software/data pricing and consulting services to your local Esri Regional Office. For support, you may contact Esri Support Center by telephone (voice) between 5:00 a.m. and 5:00 p.m. Pacific time, Monday through Friday, by dialing 888-377-4575; facsimile (fax) available at 909-792-0960; electronic mail (e-mail) support@esri.com; or visit http://support.esri.com/; Esri holidays excluded. Outside the United States– Please direct all inquiries regarding software/data pricing, sales, support, and consulting services to your local Esri Office. This information can be found at http://www.esri.com/about-esri/offices. For other questions or comments, you may contact Esri headquarters by e-mail, telephone, or fax or write to us. United States U.S. Counties Counties 2002 2004 2010 2012 1992 2011 2013 2014 2015 polygon area population households demographics society boundaries farming Florida 2016 Election The data are provided by multiple, third party data vendors under license to Esri for inclusion on Data and Maps for ArcGIS® for use with Esri® software. Each data vendor has its own data licensing policies and may grant varying redistribution rights to end users. Please consult the redistribution rights below for this data set provided on Data and Maps. As used herein, “Geodata” shall mean any digital data set consisting of geographic data coordinates and associated attributes. The redistribution rights for this data set: Redistribution rights are granted by the data vendor for hard-copy renditions or static, electronic map images (e.g. .gif, .jpeg, etc.) that are plotted, printed, or publicly displayed with proper metadata and source/copyright attribution to the respective data vendor(s). Geodata is redistributable with a Value-Added Software Application developed by Esri Business Partners on a royalty-free basis with proper metadata and source/copyright attribution to the respective data vendor(s). Geodata is redistributable without a Value-Added Software Application (i.e., adding the sample data to an existing, [non]commercial data set for redistribution) with proper metadata and source/copyright attribution to the respective data vendor(s). The terms and conditions below apply to all the data sets provided on Data and Maps. Proprietary Rights and Copyright: Licensee acknowledges that the Data and Related Materials contain proprietary and confidential property of Esri and its licensor(s). The Data and Related Materials are owned by Esri and its licensor(s) and are protected by United States copyright laws and applicable international copyright treaties and/or conventions. Limited Warranty and Disclaimer: Esri warrants that the media upon which the Data and Related Materials are provided will be free from defects in materials and workmanship under normal use and service for a period of ninety (90) days from the date of receipt. THE DATA AND RELATED MATERIALS ARE EXCLUDED FROM THE LIMITED WARRANTY, AND THE LICENSEE EXPRESSLY ACKNOWLEDGES THAT THE DATA CONTAINS SOME NONCONFORMITIES, DEFECTS, OR ERRORS. ESRI DOES NOT WARRANT THAT THE DATA WILL MEET LICENSEE'S NEEDS OR EXPECTATIONS; THAT THE USE OF THE DATA WILL BE UNINTERRUPTED; OR THAT ALL NONCONFORMITIES, DEFECTS, OR ERRORS CAN OR WILL BE CORRECTED. ESRI IS NOT INVITING RELIANCE ON THIS DATA, AND THE LICENSEE SHOULD ALWAYS VERIFY ACTUAL DATA. EXCEPT FOR THE LIMITED WARRANTY SET FORTH ABOVE, THE DATA AND RELATED MATERIALS CONTAINED THEREIN ARE PROVIDED "AS-IS," WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. HIGH RISK ACTIVITIES: (A) THE DATA AND RELATED MATERIALS ARE NOT FAULT-TOLERANT AND ARE NOT DESIGNED, MANUFACTURED, OR INTENDED FOR USE OR RESALE FOR INSURANCE UNDERWRITING OR WITH CRITICAL HEALTH AND SAFETY OR ONLINE CONTROL EQUIPMENT IN HAZARDOUS ENVIRONMENTS THAT REQUIRE FAIL-SAFE PERFORMANCE, INCLUDING, BUT NOT LIMITED TO THE OPERATION OF NUCLEAR FACILITIES, NAVIGATION OR GUIDANCE (I.E., AIRCRAFT, NAUTICAL VEHICLE, ETC.), OR COMMUNICATION SYSTEMS, AIR TRAFFIC CONTROL, EMERGENCY RESPONSE, TERRORISM PREVENTION OR RESPONSE, LIFE SUPPORT, OR WEAPONS SYSTEMS ("HIGH RISK ACTIVITIES"). ESRI SPECIFICALLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR HIGH RISK ACTIVITIES. (B) TO THE EXTENT PERMITTED BY LAW, LICENSEE AGREES TO INDEMNIFY, DEFEND, AND HOLD ESRI, ITS OFFICERS, DIRECTORS, EMPLOYEES, AGENTS, SUBCONTRACTORS, LICENSORS, SUCCESSORS, AND ASSIGNS HARMLESS FROM AND AGAINST ANY AND ALL LIABILITY, LOSSES, CLAIMS, EXPENSES (INCLUDING ATTORNEYS' FEES), DEMANDS, OR DAMAGES OF ANY KIND, INCLUDING DIRECT, INDIRECT, SPECIAL, PUNITIVE, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, ARISING OUT OF OR IN ANY WAY CONNECTED WITH LICENSEE'S USE OR PERMITTING THE USE BY OTHERS OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE FOR HIGH RISK ACTIVITIES. DELIVERY OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE DOES NOT CONSTITUTE A WAIVER OF THE RIGHTS AND OBLIGATIONS SET FORTH IN THIS ARTICLE. Exclusive Remedy and Limitation of Liability: The entire liability of Esri or its licensor(s) and Licensee's exclusive remedy shall be to terminate the Agreement upon Licensee returning the Data and Related Materials to Esri with a copy of Licensee's invoice/receipt and Esri returning the license fees paid to Licensee. IN NO EVENT SHALL ESRI AND/OR ITS LICENSOR(S) BE LIABLE FOR COSTS OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOST PROFITS, LOST SALES, OR BUSINESS EXPENDITURES, INVESTMENTS, OR COMMITMENTS IN CONNECTION WITH ANY BUSINESS; LOSS OF ANY GOODWILL; OR FOR ANY INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THIS AGREEMENT OR USE OF THE DATA AND RELATED MATERIALS, HOWEVER CAUSED, ON ANY THEORY OF LIABILITY, AND WHETHER OR NOT ESRI OR ITS LICENSOR(S) HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY EXCLUSIVE REMEDY. Third Party Beneficiary: Esri's licensor(s) has (have) authorized Esri to (sub)distribute and (sub)license its (their) data as incorporated into the Data and Related Materials. As an intended third party beneficiary to this Agreement, the Esri licensor(s) is (are) entitled to directly enforce, in its own name, the rights and obligations undertaken by the Licensee and to seek all legal and equitable remedies as are afforded to Esri. In the event that the data vendor(s) has (have) granted the end user permission to redistribute the Geodata, please use proper proprietary or copyright attribution for the various data vendor(s), and provide the associated metadata file(s) with the Geodata. In compliance with FGDC metadata standards, Esri has attempted to practice proper metadata methodologies by providing any data source information, descriptions, and file names to assist in this effort. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>See Resource Constraints &gt; legal constraints.</SPAN></SPAN></P></DIV></DIV></DIV> publication date: 1992-06-01, 2002-01, 2004-01, 2011-12, 2010-03, 2011, 2011-10-27, 2012-11-28, 2013-08-15, 2014-05-02, 2014-07-03, 2015-05-19, 2015-07-09; ground condition: 2010, 2012-12-31, 2013-07-01, 2015-07-01, 2015-05-01 2011-12-01 2002-01-01 1992-06-01T00:00:00 2011-10-27T00:00:00 2012-11-28T00:00:00 2004-01-01T00:00:00 2012-12-31T00:00:00 2010-03-01T00:00:00 2011-01-01T00:00:00 2010-01-01T00:00:00 2013-08-15T00:00:00 2014-07-03T00:00:00 2013-07-01T00:00:00 2015-07-01T00:00:00 2015-05-01T00:00:00 2015-07-09T00:00:00 2014-05-02T00:00:00 2015-05-19T00:00:00 Esri ArcGIS 13.2.2.49743 1 -178.217598 -66.969271 71.406235 18.921786 The dataset is converted to file geodatabase (FGDB) format using tools in ArcGIS. The geometry is checked, and if needed repaired. After processing, the data set is checked for drawing display and number of records and file sizes compared with source materials. The geospatial part of this data set was extracted from the ArcUSA 1:25M database, and then generalized. Generalizing reduces positional accuracy and the tolerance was not recorded so the positional accuracy exceeds that of the ArcUSA data set. The positional accuracy of the ArcUSA 1:25M data set is 1792 meters which is based on generalizing–to a tolerance of 500 meters–the 1:2,000,000-scale USGS Digital Line Graph (DLG) source data. Attribute and geospatial data 25000000 ArcUSA™ 1:25M ArcUSA 1:25M 1992-06-01 1 Esri Redlands, California, USA Esri vector digital data publication date 1992-06-01 Attribute and geospatial data 100000 Dynamap/Census Boundaries v4.0; Dynamap/2000 v. 14.0 TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 Versions 4.0 and 14.0 TomTom North America, Inc. TomTom North America, Inc. Lebanon, New Hampshire, USA vector digital data TomTom® Dynamap®/Census Boundaries; TomTom® Dynamap®/2000 Versions 4.0 and 14.0 publication date 2002-01-01 2004-01-01 Attribute data 2012 Census of Agriculture USDA Farm 2014-05-02T00:00:00 2012 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) Washington, DC, USA Census of Agriculture 2012 The farm fields come from data published by the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) based on the 2012 Census of Agriculture. http://www.agcensus.usda.gov/Publications/2012/ http://www.agcensus.usda.gov/Publications/2012/Online_Resources/Desktop_Application/ ground condition 2012-12-31T00:00:00 Attribute and geospatial data TomTom MultiNet Administrative Areas TomTom MultiNet North America Administrative Areas v. 2011.12 and v. 2010.03 Versions 2011.12 and 2010.03 TomTom North America, Inc. TomTom North America, Inc. Lebanon, New Hampshire, USA vector digital data TomTom® MultiNet® North America Versions 2011.12 and 2010.03 http://www.tomtom.com/ publication date 2010-03-01 2011-12-01 Attribute data Summary File 1 (SF 1) U.S. Census SF 1 2011-01-01 2010 Department of Commerce, Census Bureau Department of Commerce, Census Bureau Washington, DC, USA Summary File 1 (SF 1) 2010 The Summary File 1 (SF 1) data is based on the 2010 Census of Population and Housing. http://www.census.gov/prod/cen2010/doc/sf1.pdf ground condition: 2010; publication date: 2011 2010-01-01 2011-01-01 Attribute data Esri Data; Esri Updated Demographics Esri Data 2015; 2014; 2013; 2012; 2011 Esri Esri Redlands, California, USA tabular digital data Esri® Data 2015; 2014; 2013; 2012; 2011 http://www.esri.com/ publication date 2011-10-27T00:00:00 2012-11-28T00:00:00 2013-08-15T00:00:00 2014-07-03T00:00:00 2015-05-19T00:00:00 Attribute and geospatial data 2010 Changes to Counties or County Equivalent Entities: 2010s 2015-07-09T00:00:00 2010 Substantial Changes to Counties and County Equivalent Entities: 1970-Present 2010 document U.S. Department of Commerce, Census Bureau U.S. Department of Commerce, Census Bureau Washington DC US https://www.census.gov/geo/reference/county-changes.html ground condition: 2010, 2013-07-01, 2015-07-01, 2015-05-01; publication date: 2015-07-09 2010-01-01T00:00:00 2013-07-01T00:00:00 2015-07-01T00:00:00 2015-05-01T00:00:00 2015-07-09T00:00:00 The following steps were performed by Esri for Data & Maps 2002: Updated geospatial data to match Data & Maps 2002 U.S. Counties. Recreated ArcView GIS legend file (.avl) and ArcGIS® layer file (.lyr). Copied projection file (.prj). The following steps were performed by Esri: Extracted and generalized the features from ArcUSA 1:25M. Converted to North American Datum of 1983 (NAD83) by splitting the United States into-if present: Alaska, Hawaii, Puerto Rico, U.S. Virgin Islands-and the 48 contiguous states (including District of Columbia); converting each to NAD83; then merging them together. Added Kalawao county of Hawaii. Created ArcGIS® layer file (.lyr). Created projection file (.prj). Ran ArcView GIS Avenue™ request ExportClean, and created spatial indices. Converted the data set to SDC. 2002-02-04T00:00:00 TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 ArcUSA 1:25M The following steps were performed by Esri: Updated geospatial data to match Data & Maps 2004 U.S. Counties. Merged county (FIPS: 51560) Clifton Forge, VA into (FIPS: 51005) Alleghany. Added county (FIPS: 08014) Broomfield, CO and adjusted surrounding counties (FIPS: 08001) Adams, (FIPS: 08013) Boulder, (FIPS: 08059) Jefferson, and (FIPS: 08123) Weld. Converted the data set to SDC. Created the projection file (.prj) and spatial indices. 2004-03-10 TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 ArcUSA 1:25M The following steps were performed by Esri: Copied Data & Maps 10 U.S. Counties (Generalized) and renamed it. Removed all fields but FIPS. Updated generalized boundaries to reflect recent changes in the Alaskan panhandle using Data & Maps 2012 U.S. Counties. Attached and formatted the fields from Data & Maps 2012 U.S. Counties. Converted the data set to SDC. Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices. 2012-02-07 Esri Data ArcUSA 1:25M TomTom MultiNet North America Administrative Areas v. 2011.12 and v. 2010.03 U.S. Census SF 1 USDA Farm TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 The following steps were performed by Esri: Deleted the fields POP2000 and POP00_SQMI. Added the field POP2012 and added and calculated the field POP12_SQMI. Converted the data set to SDC. 2013-03-28T00:00:00 Esri Data The following steps were performed by Esri: Deleted the fields POP2012 and POP12_SQMI. Added the field POP2013 and added and calculated the field POP13_SQMI. Replaced the fields NO_FARMS07, AVG_SIZE07, CROP_ACR07, and AVG_SALE07 with the fields NO_FARMS12, AVE_SIZE12, CROP_ACR12, and AVE_SALE12 from the 2012 Census of Agriculture. Put "-99" values into these fields for records where there were no matches. Converted the dataset into a file geodatabase. 2014-08-20T00:00:00 Sources: 1) Esri Data; 2) USDA Farm. The following steps were performed by Esri: Merged Bedford (independent) city, Virginia (51-515) into Bedford County, Virginia (51-019). Changed the names and codes for the following: 1) Kusilvak Census Area, Alaska (02-158) - Changed name and code from Wade Hampton Census Area (02-270). 2) Oglala Lakota County, South Dakota (46-102) - Changed name and code from Shannon County (46-113). Deleted the fields POP2013 and POP13_SQMI. Added the field POPULATION (alias POP2014) and added and calculated the field POP_SQMI (alias POP14_SQMI). Placed them just after the FIPS field so that all the 2010 Census fields are together. Put "-99" values into these fields for records where there were no matches. 2015-11-02T00:00:00 Sources: 1) Esri Data; 2) Changes to Counties or County Equivalent Entities: 2010s. The following steps were performed by Esri: Deleted the fields POP2014 and POP14_SQMI. Added the field POPULATION (alias POP2015) and added and calculated the field POP_SQMI (alias POP15_SQMI). Put "-99" values into these fields for records where there were no matches. 2016-08-10T00:00:00 Esri Data dataset EPSG 6.2(3.0.1) 0 20240501