20220228 13524200 1.0 FALSE Parcels_Random25_SpatialJoin 002 Projected GCS_North_American_1983 Linear Unit: US survey foot (0.304801) NAD_1983_StatePlane_Nevada_West_FIPS_2703_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Nevada_West_FIPS_2703_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,2624666.6667],PARAMETER[&quot;False_Northing&quot;,13123333.3333],PARAMETER[&quot;Central_Meridian&quot;,-118.583333333333],PARAMETER[&quot;Scale_Factor&quot;,0.9999],PARAMETER[&quot;Latitude_Of_Origin&quot;,34.75],UNIT[&quot;US survey foot&quot;,0.3048006096012192]]</WKT><XOrigin>-15822000</XOrigin><YOrigin>-32308200</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 20220228 13575700 20220228 13575700 Esri ArcGIS 12.8.3.29751 Parcels_Random25_SpatialJoin Parcels_Random25_SpatialJoin Parcels_Random25_SpatialJoin File Geodatabase Feature Class dataset 0 Simple FALSE 0 TRUE TRUE Parcels_Random25_SpatialJoin Feature Class 0 OBJECTID_12_13_14 OBJECTID_12_13_14 OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Join_Count Join_Count Integer 4 0 0 TARGET_FID TARGET_FID Integer 4 0 0 OBJECTID OBJECTID Integer 4 0 0 APN APN Integer 4 0 0 REGION REGION String 6 0 0 PIN PIN String 10 0 0 RECMAP RECMAP String 6 0 0 BOOK BOOK String 3 0 0 PAGE PAGE String 2 0 0 BLOCK BLOCK String 1 0 0 PARCEL PARCEL String 2 0 0 SUBNAME SUBNAME String 50 0 0 TOWNSHIP TOWNSHIP String 7 0 0 RANGE RANGE String 4 0 0 SECTION_ SECTION_ String 2 0 0 FLOOR FLOOR SmallInteger 2 0 0 MAPLINK MAPLINK String 49 0 0 FLR FLR SmallInteger 2 0 0 STREETNUM STREETNUM String 6 0 0 STREETDIR STREETDIR String 1 0 0 STREET STREET String 23 0 0 CITY CITY String 15 0 0 SITUSZIP SITUSZIP String 5 0 0 FIRSTNAME FIRSTNAME String 34 0 0 LASTNAME LASTNAME String 62 0 0 MAILING1 MAILING1 String 48 0 0 MAILING2 MAILING2 String 61 0 0 MAILCITY MAILCITY String 31 0 0 MAILSTATE MAILSTATE String 2 0 0 MAILZIP MAILZIP String 10 0 0 LAND_USE LAND_USE String 16 0 0 WATER WATER String 3 0 0 SEWER SEWER String 3 0 0 ACREAGE ACREAGE Double 8 0 0 TAXDIST TAXDIST String 4 0 0 BEDROOMS BEDROOMS SmallInteger 2 0 0 BATHS BATHS Double 8 0 0 YEARBLT YEARBLT SmallInteger 2 0 0 LANDASS LANDASS Integer 4 0 0 BUILDASS BUILDASS Integer 4 0 0 TOTALASS TOTALASS Integer 4 0 0 LANDAPR LANDAPR Integer 4 0 0 BUILDAPR BUILDAPR Integer 4 0 0 TOTALAPR TOTALAPR Integer 4 0 0 DEPRECIATI DEPRECIATI Double 8 0 0 SALEDATE SALEDATE String 10 0 0 SALEPRICE SALEPRICE Integer 4 0 0 OCCUPANCY OCCUPANCY String 3 0 0 PROPCODE PROPCODE String 18 0 0 TAXYEAR TAXYEAR String 4 0 0 STORIES STORIES String 46 0 0 TOWNHOUSE TOWNHOUSE String 1 0 0 SQFEET SQFEET Integer 4 0 0 UNITS UNITS SmallInteger 2 0 0 AVCONSYEAR AVCONSYEAR String 4 0 0 BUILDINGTY BUILDINGTY String 3 0 0 NBHD NBHD String 4 0 0 SPECPROPCO SPECPROPCO String 18 0 0 QC QC String 4 0 0 LAND_BASE LAND_BASE Integer 4 0 0 NBC NBC String 2 0 0 Fireplaces Fireplaces SmallInteger 2 0 0 Agency Agency String 44 0 0 AG_ABBR AG_ABBR String 5 0 0 FullAddres FullAddres String 31 0 0 ZoningWith ZoningWith String 49 0 0 HeatType HeatType String 36 0 0 SecHeatTyp SecHeatTyp String 36 0 0 Zoning Zoning String 49 0 0 Zoning_GIS Zoning_GIS String 9 0 0 STRAP STRAP String 8 0 0 OBJECTID_12 OBJECTID_12 Integer 4 0 0 OBJECTID_1 OBJECTID_1 Double 8 0 0 OBJECTID_12_13 OBJECTID Double 8 0 0 APN_1 APN Double 8 0 0 REGION_1 REGION String 255 0 0 PIN_1 PIN String 255 0 0 RECMAP_1 RECMAP Double 8 0 0 BOOK_1 BOOK Double 8 0 0 PAGE_1 PAGE Double 8 0 0 BLOCK_1 BLOCK Double 8 0 0 PARCEL_1 PARCEL Double 8 0 0 SUBNAME_1 SUBNAME String 255 0 0 TOWNSHIP_1 TOWNSHIP Double 8 0 0 RANGE_ RANGE Double 8 0 0 SECTION1 SECTION_ Double 8 0 0 FLOOR_1 FLOOR Double 8 0 0 MAPLINK_1 MAPLINK String 255 0 0 FLR_1 FLR Double 8 0 0 STREETNUM_1 STREETNUM Double 8 0 0 STREETDIR_1 STREETDIR String 255 0 0 STREET_1 STREET String 255 0 0 CITY_1 CITY String 255 0 0 SITUSZIP_1 SITUSZIP Double 8 0 0 FIRSTNAME_1 FIRSTNAME String 255 0 0 LASTNAME_1 LASTNAME String 255 0 0 MAILING1_1 MAILING1 String 255 0 0 MAILING2_1 MAILING2 String 255 0 0 MAILCITY_1 MAILCITY String 255 0 0 MAILSTATE_1 MAILSTATE String 255 0 0 MAILZIP_1 MAILZIP Double 8 0 0 LAND_USE_1 LAND_USE Double 8 0 0 WATER_1 WATER String 255 0 0 SEWER_1 SEWER String 255 0 0 ACREAGE_1 ACREAGE Double 8 0 0 TAXDIST_1 TAXDIST Double 8 0 0 BEDROOMS_1 BEDROOMS Double 8 0 0 BATHS_1 BATHS Double 8 0 0 YEARBLT_1 YEARBLT Double 8 0 0 LANDASS_1 LANDASS Double 8 0 0 BUILDASS_1 BUILDASS Double 8 0 0 TOTALASS_1 TOTALASS Double 8 0 0 LANDAPR_1 LANDAPR Double 8 0 0 BUILDAPR_1 BUILDAPR Double 8 0 0 TOTALAPR_1 TOTALAPR Double 8 0 0 DEPRECIATI_1 DEPRECIATI Double 8 0 0 SALEDATE_1 SALEDATE String 255 0 0 SALEPRICE_1 SALEPRICE Double 8 0 0 OCCUPANCY_1 OCCUPANCY Double 8 0 0 PROPCODE_1 PROPCODE String 255 0 0 TAXYEAR_1 TAXYEAR Double 8 0 0 STORIES_1 STORIES String 255 0 0 TOWNHOUSE_1 TOWNHOUSE String 255 0 0 SQFEET_1 SQFEET Double 8 0 0 UNITS_1 UNITS Double 8 0 0 AVCONSYEAR_1 AVCONSYEAR Double 8 0 0 BUILDINGTY_1 BUILDINGTY Double 8 0 0 NBHD_1 NBHD String 255 0 0 SPECPROPCO_1 SPECPROPCO String 255 0 0 QC_1 QC String 255 0 0 LAND_BASE_1 LAND_BASE Double 8 0 0 NBC_1 NBC String 255 0 0 Fireplaces_1 Fireplaces Double 8 0 0 Agency_1 Agency String 255 0 0 AG_ABBR_1 AG_ABBR String 255 0 0 FullAddres_1 FullAddres String 255 0 0 ZoningWith_1 ZoningWith String 255 0 0 HeatType_1 HeatType String 255 0 0 SecHeatTyp_1 SecHeatTyp String 255 0 0 Zoning_1 Zoning String 255 0 0 Zoning_GIS_1 Zoning_GIS String 255 0 0 STRAP_1 STRAP Double 8 0 0 hexID hexID Double 8 0 0 hexID_2 hexID_2 Single 4 0 0 L_1 L_1 Double 8 0 0 L_2 L_2 Double 8 0 0 L_3 L_3 Double 8 0 0 L_4 L_4 Double 8 0 0 L_5 L_5 Double 8 0 0 L_6 L_6 Double 8 0 0 T_1 T_1 Double 8 0 0 T_2 T_2 Double 8 0 0 T_3 T_3 Double 8 0 0 T_4 T_4 Double 8 0 0 T_5 T_5 Double 8 0 0 T_6 T_6 Double 8 0 0 T_7 T_7 Double 8 0 0 T_8 T_8 Double 8 0 0 T_9 T_9 Double 8 0 0 T_10 T_10 Double 8 0 0 T_11 T_11 Double 8 0 0 T_12 T_12 Double 8 0 0 S_1 S_1 Double 8 0 0 S_2 S_2 Double 8 0 0 S_3 S_3 Double 8 0 0 S_4 S_4 Double 8 0 0 S_5 S_5 Double 8 0 0 S_6 S_6 Double 8 0 0 PO_1 PO_1 Double 8 0 0 PO_2 PO_2 Double 8 0 0 PO_3 PO_3 Double 8 0 0 SE_1 SE_1 Double 8 0 0 SE_2 SE_2 Double 8 0 0 SE_3 SE_3 Double 8 0 0 E_1 E_1 Double 8 0 0 E_2 E_2 Double 8 0 0 E_3 E_3 Double 8 0 0 E_4 E_4 Double 8 0 0 E_5 E_5 Double 8 0 0 E_6 E_6 Double 8 0 0 E_7 E_7 Double 8 0 0 M_1 M_1 Double 8 0 0 M_2 M_2 Double 8 0 0 M_3 M_3 Double 8 0 0 MI_1 MI_1 Double 8 0 0 MI_2 MI_2 Double 8 0 0 MI_3 MI_3 Double 8 0 0 MI_4 MI_4 Double 8 0 0 MI_5 MI_5 Double 8 0 0 MI_6 MI_6 Double 8 0 0 MI_7 MI_7 Double 8 0 0 MI_8 MI_8 Double 8 0 0 MI_9 MI_9 Double 8 0 0 MI_10 MI_10 Double 8 0 0 Shape_Length_1 Shape_Length Double 8 0 0 Shape_Area_1 Shape_Area Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20220228 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD29QFF QyFA2WH6VMxIXBqHzF8wrnNYiI0xJuCScDqahVdjMqOSf0NLKyJuwVUn8M1Bb5W5YhWP1pASuiF5 GkUACP5iOuarSeeYl80JsON+M5xVsyR+RILlgCTnaOvtVSTz/JXzgmzjfjOcd668NszpodQdI0aM 26xiTPGB275xSspedRciMrj5R1GfxpHWJWQ2yxCTPG3HTvnFDDdOouhHsx8vpn8a6ToFUFZ3FsIw mBuHbPtjvj+lJGkTmQ3CxmXOG3AdO2M9v/r0INszi1EezA3em72x3x/SkRYWMhuViMufm3Y6dsZ7 UACfaPIPl7NnO3Oc4oZLcW4ZFTfxtIA3ZoQ3H2c+WE2c7M5zjtSMtqIAYwnmcbSAN2aAHSeaQguB H5RI37f0z7ZoZFSZPsqxhzndgYG33x70S+aQguBH5RI34/r7ZoKosyfZRGHP3sdNvvj3oAUKHnIu ljJx8g6jHfrRGHV3FuIxED36Z74xSYVpz9qEecfID0x3696I9wdxbCPys9+me+MUAEaQNGzTrGZO d5YCkJufsvbbjrzv2/44oRbZo2NwIjJk792M0E3P2Xttx1537f8AHFACyJAqIbdYxJkbNoHP/wBb FK4dpEFwIzGew6Z98011twqG3EXmZGzZj+nbFOkDGRBciPyv0z75oANuyfFssY4+cdB7dKFRXmf7 SsZcYxkZGPbNIAFn/wBFEfT5wOnt070BY2mf7UIjJ/Dnpj2zQAR+cFcW4j8oE7N2f09s0gjtvsxZ lXd3JA3bv8c0sfmhHFuE8oE7N39PbNNC2v2fcwTf3OBu3f45oAc/nmFfO2bDjfjOcUOkaNH9nWMS 54wMcd847UknnmFfOCbON+Cc4pXWJWQ2yxCXPG3HTvnHagBWUtOouhGUx8g7Z9898f1oUFZ3FsIw mBuHbPtj2pHG6dRdCPZj5B1GffPfH9aEBWZxaiPZgbvTPtj2/pQARpE5c3CxmXPzbgOnbGe1CfaP IPlbNnOzOc4pEWFi/wBpERlzzux07Yz2oT7R5B8oJs52ZznFAA0duLYNGqB8fKQBu3f40solOwXA j8osN23PXtn2zTWW1FuDGE8z+EgDdu/xp0vmEILgR+Vkbtv6Z9s0AKyqkyfZljDn72Bxj3x70bQ8 5FysZIHyDGR79aQhFmT7KIw/8WOmPfHvQQrTn7UIycfJnp79e9ACxh1dxbiMRA9+me+MU1EgaJzc LGZOfMLAcf8A1qdHuDuLYR+Vn8M98YpiLbNG5uBEZOfM3Yz/APqoAXNz9m5xtx779v8AjipVitNo 2xw4xxwKizc/Zucbccnndt/xxTwlltGFgx24FAGjc3KomQRn3NUBcO858sI5A5JPAqJw3no1zs2c 454z75p2R5/+jeWfl+fnj26d65YUOsjmhQ6yEjCiaT7Ts8w9M9Me2adA86FzBsMQJ2Bicfh7ZpFK ea/2nyw/GMnjHtmkjMu1/s4jMeTs3H+Xtmt3Ti1axu4RasGbdrcs+0v/ABE43bv8c0OZ/JXzgmzj eVJzimg232bDFd+Oc43bv8c05zP5K+cE2cb9pOcVRQsnlho/s4j83PGPTvnFDZ89ftIjC4+XnjP4 0jmPcn2fyzLnjHp3zilYnz1+0+WFx8nPGe/WmALkTv8AZhHsx83pn2x7f0pI/KJk+0CPzc/Nu9O2 M9qFJ89/svllMfPzxu9se39KIzFl/tHliXPzbsdO2M9qAETzxAfLCbOdmSc4oYW/2YbNm/A24xuz Qnn/AGc+UE2c7Mk5xQ32b7OAhTfxtxjdmgBZPNITzxGIsjftP5Z9s0rbROn2by9/O7HTb749/wCt JIZcJ9oEYi3DftP5Z9s0PtMq/ZfLL4O7B4x749/60AKMGc/admcfJ6Y79arz3Fxbk/YrUTozYwGw Ae5+lM02A2sIivdgcZ25PGM+9W49+9/s4jMWe54z3xiglXlHsZ9rdiTUbm2ukjG2MO27GQT1Ge4q 8ftP2bkDbjk5O7b/AI4qGO3tRPJcTMnnMuyQMRipj9p+zcgbccnJ3bf8cUCgpJPmfcWTydifZ/L8 zI2bcf5xilfeZE+0CPy+2Dxn3zTZDBsT7P5fmZGzbj/OMU6Qt5ifaRGI/Y8Z980Fh0n/ANGEf3fn 9Pbp3oTaZn+0iPfxtz02+2aTI8//AEXyzx8/PHt070KU85/tPlh+NuemPbNABH5u1/s4jMWTs3H/ ADxmkAt/s3zbd2Oc43bv8c0sRl2v9nEZi3HZuP8AL2zTR9m+zYYpvxznG7d/jmgBzmfyV80Js434 JzilkEYaP7OI/Mzxj075x2pH8/yV80IE434JzihzFuT7P5Zlzxtx075x2oAVs+ev2kIFx8nPGe+c 98f1oXcJ3+zCPZj5s9N3tj2/pQxPnr9p8sLj5OeM9859v60ik+e/2byymPm54z7Y9v6UALH5ZMn2 jy/Mz82fTtj2pqfaPIPlBNnOzJOcUsZiy/2jy/Nz827H4Yz2pENx5DeUE2c7Mk5x2oAGFv8AZhs2 7+NuMbt3+OaWTzcR/aBGIsjdtPftn2zTW+zfZwEKb+NuMbt3b8c06Tzf3f2gRiLPzbT+WfbNACtt EyfZhHvwd2OmPfHvQOZz9pCZx8npjv1pGK+cn2byy+Dux0x74pcjzz9p8sHHy5PHv1oAI94kf7OI /Lz3PGe+MUiCAxP5+zec+Zu/z0pY9+9/s4jMWe54z3ximoYPKb7R5fmc+Zux/nFABm5NryBtxycn ft/xxUq/Zdox5OMcdKiP2n7L8wG3HJyd+3/HFSA2m0YMOMcdKAGuWEqG48sR9sHjPbOaN2Z823lt 8vz88e3TvQ5cSxm48sRjOMHjPvmjdm4zbeW3y/Pzx7dKABWQSv8AaTGH4xk8Y9s0kRlw/kCMxZOz cT+ntmlRlWV/tBRXPTJ4x7ZpIzLh/s4jMWTs3E/j+GaAGhrYW21mXfj5gSN27/HNK5n8lfOCBON+ 0nOKFa3+y7WYbsfMCRu3f45pXM/kr5wQJxv2k5xQASNGzJ9nMZlzxg9u+cUrEidTc+WFx8nPGe/X /PWiRo2aPyChkzxg9u+aCxE6m58sLj5MHjPfr/nrQAikmdza+WUwN/PGfbHt/SiNogX+0GMS5+bc e3bGe1KpYzubbYUx8+Txn2x7f0oiaNTJ55jEufmye3bHtigBqG4+znygmznYSTnFDNbfZwEZN/G0 AjdmhftH2c+UE2c7Mk5xQz25tgEZd3G0AjOe1ACymXCfaBGIs/PtP8/bNKzKZkNsYy+DuweMe+Pe kkMuI/tAjEWRvKn8s+2aV2DTIbYozjO7B42++PegADATk3JjU4+TnjHfr3ojL75DbiMxZ7njPfGK A224JuTGpx8nPGO/WhC5kkNv5ZjJ7njPfGKAGo0AjYTmMPk7wxFBNz9l5A245OTu2/44pY2hETCd ow/O8MRTT9p+y8gbMcnJ3bf8cUALI0BRBbmMyAjYFI/zjFOcuJENx5Yj7YPGffNJI0JRBAYzICNg Uj/OMUrlxKhuPLEfbB4z75oAN2Z823ltx8/PHt070KyCZ/tJjD/w5PGPbNBbdcZtjGTt+fnj26UI yrM/2gosnGMnjHtmgBIjLtf7OIzFk7CxP6e2aQNbC22sy78cgkbt3+OaWMzbX+ziMxZOzcT+ntmk DW/2bazLuxyCRu3f45oAVzP5K+aECcb9pOcUSNGzR/ZzGZM8YPbvnFD+f5K+cE2cb9pOcUsjxs0f kFDKDxg9u+aAEYkTqbrywuPk54z3zn2/rSqSZ3Nt5ZTA3c8bvbHt/Sgki4U3PlhcHZg8Z75z3x/W hWYzubby2TA3ZPGfbHt/SgBI2iBf7QYxLn5tx/LGe1IpuPs7eUE2c7CSc47U6No1MnnmMS5+bJ/L HtTVNx5DeUE2c7CSc47UADNbfZwqMm/jaARu3f8A66WQy4j+0CMRZG/aT+GfbNIzW/2YKjLu42gE bt3b8c0shl/dm4EYiDDdtJ69s+2aAFZlMyfZjGXwd2Dxj3xRuAnJuTGpx8nPHv1oZlaZPs5Qvg7u eMe+PegNtnJuTGpx8nPGO/WgAjL+Y5txGY89zxn2xTY2gEbicx+Zk+YGI/zinIXMkht/LMZPc8Z7 4xSRvCInE7Rh8nzAxH+cUAN/0n7LhgNmOTk79v8Ajipg9pgYeHHbkVF/pP2XBA245OTv2/44qZZL baMPFjHHIoAjcuJYzceX5fbHTPvmjObgG2Kfd+f09ulD7xLGbny/L7Y6Z980E5n/ANG8vp8/p7dK ABColf7QUEnb0x7ZpI/Ow/2fy/Lydm7P4/hmlQqJX+0FPM7emPbNJH52H+z+X5eTs3Z/H8M0AIGt /suGI3Y+YHG7d3/HNK/n+SvneXs437c5xSKbf7NhiN38Wcbt3f8AHND/AGjyV87y9nG/bnOKAHSN GWT7OUMueMenfNBJE6m58sLj5cdM/jRIULJ5BTzc8Y6Y75oJYTqbny9uPlx0z75/z1oAFLGdzbbN uBuz0z7Y9v6UkbRgyC4MYlz82fTtj2pQWM7m22bcDfnpn2x7f0ojMY8zzynm5+bPp2x7YoAav2jy D5ezZztznOKGa3+zAIV3cbQMZz2oX7R5B8vZs525znFDG3+zAIV3cbcYzntQAsnm/u/tHl+Vkb9v 6Z9s0rkGZPsxQvzu9Nvvj3xSSedhPtHl+Vkbtufwz7ZpXIMyfZim/nd6bffHvQAA4nP2kxg4+T0x 360IXLubfy/Lz39e+MUA4nP2kpnHyemO/WhPMMj/AGfy/Lz39e+MUAJG0IiYTlN/O/dTf9I+y842 Y99+3/HFOjaERN55Tfzv3U0/afsv8OzHvv2/44oAdI0JRBAU8zI2bf8APSlcuJUNx5fl9sdM++aS QwlE8gp5mRs2/wCemKV94lQ3Hl+X2x0z75oACc3A+zGM8fP6e3ShComf7QUEnGPTHtmgnM4+zbM4 +f09unehColf7QU8zjHpj2zQAkfnbZPs/l+Vk7N2f84zSBrf7Nhiu7uON27/ABzSx+dtk+z+X5WT s3Z/T2zSA2/2bDFd3fpu3f45oAH+0eSvnbNnG/bnOKdI0ZaP7OUMueMenfPtTX+0eSvnbNnG/bnO KdIULR/Zynm54x0x3z7UABLCdTc7NuPkx0z3zn2/rQpYzubby9mBuz0z7Y9v6UEsLhTc+Xtx8mOm e+c+39aBuM7m28vbgbs9M+2Pb+lABG0YMnnlBLn5s+nbHtTV+0eQ3lbNnOzOc4p0ZjG/zynm5+bP 6Y9qan2jyD5WzZzsznOKABmtzbYQruwNoGN27t+OaWTzf3ZuPL8rcN23PXtn2zSMbf7MAm3dgbcY 3bu345pZPN/d/aPL8rcN23PXtn2zQArEGZPsxQv/ABemPfHvQDic/aTGDj5PTHfrQ5BmT7MU3/xe m33x70A4nP2kpnHyemO/WgAjLmRzb+X5ee/TPfGKSNoRE4nKeZz5mfX/AApU8wyObfy/Lz36Z74x SRmEQuJym/nzN3r/AIUAJ/pP2bnbtxz13bf8cVKr2u0YaLGOOlRf6T9m527Px3bf8cVKrW20YMWM cdKAGPvEsZuDGY+2Bxn3zR1n/wBGKDj5+OPbp3ofeJYzcGMx9sDjPvmjrP8A6MU+78/HHt0oAE2i V/tGzzO3pj2zSR+cRIbcxiPJ2bgfx/DNKm0TP9p2eZ29Me2aSPzisn2cxiPJ2bgf84zQAim3+zfN jd/FnG7d3/HNDi4EK+cyFOPM2g5xQDbfZvmxuxznG7d/jmhxcCFfOKFON+0HNADpNhZPs5Tzc8Y6 Y75oOROv2koVx8uBxnvnP+etNneJQrQlA685A6DvnFVrbUYLu6KSOuVHCMhXHvg+1AnJJ2b3La7j O/2YoFwN+Rxn2x7f0ojMY8wTlPNz82fTtj2xTSzLJI9qFKhfnAGct7Y74/pTbaSOSIvcoEmbllkA BA7fpQO+o5BceQfLKbOdmQc4oY2/2YbNu7A2465oQXHkHyigTnZkHOKGNv8AZxs27sDbjGc0ALJ5 oEf2gxmLI37Qfwz7ZpXwZk+zFN/O702++Pekk80CP7QYzHkbtoP4Z9s0rYM6fZtm/ndxxt98e9AA MCc/aSm7HyemO/WhN5dzbmMR57jv3xigYE5+0lM4+TjjHfrRHvLv9nMYjz3HfvjFACRmARMJ9m/J 37qbi4+y9V2Y6YO7b/jiqOpWsl1ahY7pIJFYmYnvTtKlubjQ4ZGkDgj5jg7sZ5/HFO2lzJVH7T2b j0vfTX9S9IYTGnkbPMyNm3/PTFK+8Sp9oMZj7YHGffNJIYSieRs8zI2Y/wA9MUr7xKhuDGY+2Bxn 3zSNQPM4+zFM4+fjj26UJtEz/aSnmcY9Me2aOs/+jFM4+fjj26UJtEz/AGnZv4x6bfbNACR+cVf7 OYxFk7NwP6e2aQG3+zfNt3Y56bt3+OaWMSlX+zmMRZOzcD/nGaRTb/Zvm27sc9N27/HNAA4uBCvn FCnG/aDnFOk2Fo/s5Tzc8Y9O+aa4nEK+aUMfG/AOcU6QoWjFvs83PGPTvmgAO4Tr9pMZXHyYHGe+ c+39aF3Gd/sxjCY+bI4z7Y9v6UHInX7SUK4+TA4z3zn2/rQu4zv9mKBMfNkcZ9se39KACMxjf5+z zM/Nn9Me1NQXHkN5RTZzsyDnFLGYxvFxs83PzZ/THtSILjyG8ooE52ZBzigAY2/2YbNu7jbj727t +tLJ5o8v7QYzFkbtoI57Z9s0jG3+zDZt3cbcY3bu345pZPNHl/aDGYsjdtB69s+2aAFbBmT7MU38 7vTHvj3oHE5+0lCcfJxxjv1obaZk+zFN/O7jjHvj3oGBOftJQnHy+mO/WgAj3mRzbmMR57jjPfGK SMwCJxPs38+Zu9f8KWPeZHNuYxHnuOM98YpEMHlOJ9m/nzN3+elACYufs3JGzuMHdt/xxUqta7Rj ysY46VFi5+y8kbccjB3bf8cVKptdox5WMcdKAGPvEsZuGjMfbAwM9s5NHW4/0YoPl+fjI9ulD7xK huGjMfbC4GffJo+9P/oxjHy/OcZHt0oAE2iZ/tBQvxg44x7ZpIxKQ5t2jEe47dwJ/r0zSrtWV/tJ Qv2JGBj2zSRiUhzA8YiyduVJ+uOemaAEU2/2X5sbsfMDjdu/xzSuJxCpmZCgxvCg5x+dVraC3ggm Z5Wd5GLFXI3K3oPxqzIJxCpmZCgxvAUg4/OgSba1Fk2FkEBTzM8Y9O+aYYkW9E1wsRYrtVguPwOa dIYyyC3MfmZ4I9O+aVsrOv2loyuPk4wM9+poHYF3Gd/sxQLj58jIz7Y9v6UkflgyCcp5ufmz6dse 2KVctO/2ZkCY+fIyCfbB9P6UkZiBkFwY/Nz8xPp2x7UAIouDbnymQJzsBBzj86GNv9nGzbu424xn NCC4NufKZAnOwFTnH1zQxt/s42bd/G0DGc0ALIJQIzO0Zi3fPtBH0zz0zSvgzJ9mKB+dxxxt98e9 JKJQEM7RmLd8+Fx+fPTNK21pk+zFA+DuIGRj3x70AA4nP2koTj5TjAx360R7y8ht2QR57jPPfGDQ MLOftLRk7fkOMDHfrRGHLubdoxHnuuee+MGgBmYVtpfO2bwG37v89Ky/D/nnQRtZfLDHIAO7HfBz WqvkeS6zlN/Ik3VWsrGWw07yY3zHkttK/PtPbOeuKpNcrRhKnJ1ozWyTX32/yLUhhMaeRs8zI2Y/ z0xSvvEqG4aMx9sDAz75NNdoGRPs5j8zI2bcf5xTn3iRDcNGY+2FwM++TUm4Hm4/0YoDt+c4yPbp Qm0TP9oKF+MHHG32zR96f/RmjHHznGR7dKF2rM4uShfsSMDHtmgBIxKVc27RiLcdm4E/Xv0zSA2/ 2X5tu7HPTdu/xzSxCUq5t2jEWTs3KT/XpmkBt/s2G278YION27/HNACuJxCvmshTjeADnH50shQt GLcp5meMenfNI4nEK+ayFON4CkHH50O0TMgt2j83PG3nA75xQApyJ1+0lCuPkwMDPfOfb+tC7jO/ 2YoEwN2RkZ9se39KGys6/aWjK4+TjAB75yfT+tC5adzbMgTA3ZGRn2wfT+lABH5YMgn2ebn5if0x 7U1RcGBvKZAnOwEHOO3eljMQLi4Mfm5+Yn9Me1IguDbt5TIEOdgKnOPrmgAY2/2YbNu7jbj727t+ tLIJR5f2hozFuG7aCOe2eemaRjbm3ATbv42gY3bv/wBdLIJR5ZuGjMW4btqkc9s89M0AK20zJ9nK B8HcccY98UDic/aShOPlOMDHfrQ21pk+zFA/O4gZGPfFHCzn7SYySPkOMDHfrQAJvMkn2dkEee4z z3xg0kZhET+fs3gnzN3+elLHvMjm3ZBHnuuQT7YNJF5IjYTbPMyd+R1NADcXH2XkrsxyMHdt+ueu KnBttox5WO3SoJluoLQGT/VgfONp3hfrn0qYG1wMeVjt0pRknsTGalsMfessZuGQx54wMAH3yaPv XH+jNGML85xke3Sh9yyxm4ZDHnjjAB980ZDT/wCjNHwPnI5Ht0plAhVZnFwU8w9CeBj2zSRiUhzA 0YiJO3cpP1xz0zSqUWZxctHvPQngY9s0kYlZXNuyCIk7MjP+RmgBFa3Frhtu/GGHG7d/jmlcTiFf OZCgxvCg5x+dND2wtsMV34wwJG7d/jmnOJxCpmZCgxvAHOO9ACyGNmjFuU8zPGPTvmhsrOpuWjK4 +UgYGfxpHaNmQW7R+Zngrg4HfOKVsrOpuWQrg7TjAB/GgAXLTubZkC4G4kZBPtj2/pSRmNTILgx+ bn5s9x2x7Uq5adzbMgTADHGQT7Y9v6UkbRKZBcNH5ufm3YGR2xntQAiC4MB8tkCHO0EHOPzoZrc2 4Cbd3G0DGc0IJzAfLZQhztBHOKGe2NuBGU38bQCN2aAFkEoEZnaMxBhv2jH0zz0zSsQ06fZmTeM7 j1G33x70kolUIbhkMQI34GPpn2zQxV50+zNHvGdxHI2++PegBQdtwftLR5I+Q4wMd+tEe9nkNu0Y jz3Gee+MGgELOftLR5I+QngY79aI97O5t2QR57jIJ74oAgmuEtrN3eISyhv3iDGSM8kfhSxvPNYB 1P7sj7pQh9vpz3xUkbQLGwnaMSAnfuxRtuPsvUbcfdx8230z64oFrcgdLezs1WwiVnDAxohGSasv vEiG4ZDH2wMDPvk0kjQMiC3aMyEjZtxx/wDWxSvuWRDcMhj9hgA++aAStsH3p/8ARmQfL85xke3S hCqzP9oKbzjBPAx7ZpM7rj/Rmj4Hzkcj26UKUWZxctHvOME8DHtmgYRiYq5t2jERJ2bgT+XPTNQL KAxRo08rZ97cN+/PIxTNNe8nhnmUqkTyN5KMvRe351ZD2wtsMU39CCRu3f45oJT5kmhXE4hXzmQo MbwAc4/OoxBbRylrQRiaV9zEc59SaT/TPmFwIvIXbyvVh3zUsjRs0Yt2j83PG3BwO+aB6MU5WdTc tGVwdhAwAfx74/rQu5p3Ns0YTADZGRn2x7UNlZ1NyyFMYU4wAfx9v60Llp3NsyBMDccZBPtj2oGE ZjUyCcp5ufmz3HbHtTVFwYG8pkCHOwEHOPzpY2iUyC4aPzM87scjtj2oQTmA+WyhDnYCOcUAIzW5 tgE27+AoGN27/wDXSyeaNhuGjMQYbtoI57Z56ZpGa3NsAhTfgBQCN27/APXSy+YoQ3DIYgw3YGOe 2fbNACsVaZPsxTeAdx6jHvigELOftLR5I+Q4wMd+tDFWmT7M0e8feI5GPfHvQCFnP2lkyR8hPAx3 60AEe9pHNu0Yjz3GQT3xg1Z+029tYIzJvn3HK46t6/SktrV5mZoZI0jZsDIzk98VdW1S3UAFTMf4 yO571z1pJqyOerJPRDo83FqDLFhccE1mPDNaMYViWRR90kdB6Vozzpn7IjbpSOn9TU8hKMByePSs bnPYw5CySI1yyeX2PQA++aTcHnzatHwPnI5Ht0pZCySo1wyeWO/QA+9G4ST5tnQ4Hzkcj26V3HoC K6Ryv9peMOehPAx7Zoj81lc27IIyTsyM/wCRmlV0jmcXLxhz0JOBj2zSR+ayu0DIIyTsyM/5GaAG rJbC22sV39GUkbt3+OaVxOIV85kKDG/A5x3pFlthbbGZd44Kkjdu/wAc0gkeW2VzNHJEDiQp7daA uPd4pGQW7xmTPG0g4HfOKViUnU3LJtxhT0AP40kkkcjILd4zJnI2kHA75pWJjnVrl024wp6AGgBF Jed2tmTZgBj1BPtj2/pQjxRmQXDxiXOTuIGR2xntSqTJO7WzJswAx6gn/wDV/SkjkijMi3DxiXOW 3EDI7Y9qAEQXBtz5bKEOdoI5x2oaS2NuFjZN/AVQRuzTIJHngf7PLGyKSoA5I9qe0tu1uER038BV BG7NAX0Fl81QjXDIYgRvwMfn7ZoZlkmT7K8ZcfeI5G33x70SeaoRp2QxAjfgY/P2zQzrJOn2Z0Lj O4g5GPfHvQAbhHOftTxgkfITwMd+tLGXZ3a3ZPKJ78gnvjFG8Rzk3LoCR8hPAx360Rl3d2t2Tyyf qCe+KAGpJbpG4neMSAnfuIoK3H2XGRtx93B3bfT64oSWBI3Wd4w4zvDEc0Fbj7LjI245XHzbfT64 oAHkgkRBbvGZCRs2kcf/AFsU6QskiNcMnl+vQA++aa8sEiItu8ZkJGzaRx/9bFOkLJIjXDJ5Y79A D70AG4PPm1aM4Hzkcj26Uiukcz/aXjDnGCeBj2zS7hJPm2dDgfORyPbpQrpHM/2l4w5+6ScAj2zQ AkYlZXNuyCIk7MjP+RmmiS2FvtZk39CpI3bv8c06MSsrtAyCIk7MjP8AkZpBLbC2KMyb8EFcjdu/ xzQAOJxCvmshQY3gDnFK7xSNGLd4zJnI2kHA75xQ4nEKmVlKDG/A5xRJJHI0Yt3jMmcjaQcDvmgA YlJ1a6aPZjCHoAe+c+39aFJeZ2tmTZgBj1BPtj2oZjHOrXLpsxhD0APf9P60qkyTu1s6bMfMeoLe 34UAIjxRlxcPGJM5O4gZHbGe1IgnMB8tlCHOwEc4pY5Ioy63DxrJnJ3EDI7YpEE5gPlsoU52AjnF ACNJbG3CRsnmYAVQRu3U6XzFCNcMhiBG7Ax9M+2aRpbZrcIjJv4CqCN27/8AXSy+YoRp2QxAjdgY +hPtmgAZlkmT7M8ZcfeI5GPfHvVyyMSXDNdvGH2/IWOBjv171TZ1kmT7M8ZcZ3EHIx7496XcI5yb l0BI+Qnge/WplHmViZx5lY0JL93l/wBFEZiTjcecn2xT45UkV7yYDcmFK54BFZkZZ3drdk8snr1B PfFalpHFLpxWQA7STID3brWNSCjHQwqQUYqw2zjSMS30rrvkyS2eAPQVS8m61B3uI5ysZbCjPaoZ 72TUWEECqIwcKh71PHpjrEiylAwHTzCK5zEhkLRyI9w6eWO/QA9s0bhLPm2dDhfnI5HtQ5aOWN7h 08sd+gB96N4lnzbOhwuHI5HtXoHeCukUr/aZEDnGCxwCPbNJGJWV2gdBGSSmRn8fpmlSRYpn+0SI HOMEnAI9qSPzXDtA6CNiSmRn8fpmgBolthbeWzLv6FCw3bv8c0gheC2UERrGDukVFx9TThLbi18t mXfjBQsN27/HNJIZVjUTSIRwXUcEjvQA6SSOVkFvJGZM5G0g4HfNKzeXOrXLptxhT0ANEkscrRrb yI0gORtOcDvmhmMU6tcOm3GFPQA0AIp8yd2tnTZjDHqC3/6qgmit5o3hu5gj7wzfNt3Dt+FPtZJr hmkURx9nAO4E9v0qSOWKIyLPJGsuctuIGR2x7UC0ktRkEDx2zC3EccZJKqF5pzS2zW4RHTfwFUEb s0Is5gPlsoQ52AjnFDTW7W4RHTfwFUEbs0DFk8xQjTuhjDAvgY/H6ZoZ1lnT7NIhcZ3EHI2++Pei TzUCNO6GIEF8DH5+2aVnWWZPszoXAO4g5AHv+NABvWKcm5dASPlJ4GO/WiPc7u1u6eWT1xkE98UB xFOTcugJX5SeBjvRGXd3aB08snr1BPfFADUlt443WeSMOM7wxHNBS4+zYLDb3XHzbfTPrilSaCOJ 1nkQPzvDEc0hS4+zYJG3HK4+bb6Z9cUADzQSIi28kZkyNm0jj/62KdIWSRGuHTyx36AH3pJJoZUR beSMyZGzaRx/9bFK5aORHuHTyx36AH3oANwlnzbOhwPnI5HtSK6RTP8AaZIw5+6ScAj2zS7xLcZt nQ4X5yOR7UJIsUz/AGiRA56EnAI9qAEiErK7QOgjJJTIz+P0zTRLbC22Myb8YKkjdu/xzTovNdXa B0EZJKZGfx+maQTW4tvLZ134wVLDdu/xzQAsizCFTKylBjeAOcUSSRysgt5IzJnIKkHA75ocTiFT KylBjeAOcUskscrRrbyI0mcjac4HfNAAzeXOrXLpsxhT0APf9P60ikyTu1s6bMYY9QT7fhSljFOr XLptxhD0APf9P60KxkndrZ02YAY9QT7fhQAkcsURdbiSMSZydxAyO2KRFnMDeUyhTnYCOcdqWOWK IyLPIiyZy24gZHbFIqzmBvKZQpzsBHOO1ACNLbNbhEdC/AVQRu3dv1p0gkURtO6GIEb8DH0J9s0j TW7W4jR1L8BVBG7dn/Glk81RG07oYgwLYGPoT7ZoAGdJZk+zOhcA7iDkY98Uu8RTk3LoCR8pPA9+ tDSLLMn2eRC4B3EHIx70BxFOTcugJHyk8D3oAIyzu7W7p5ZPXqCe+K07dfN0l4osCU5Vyf7x6msy Mu8jtA6eWT16gnvirVtqcdvEsHlM0+/De59axrfCY1tkOihi0e3Z/vyY+8TgGsqWO5u5DNIGBbpz jirMjG8u3kui8YXiOPpk1owWgWP51G7Pf5j+dchzGc5aOWN7h08sdDjAB96N3m3GbaROF+cjke1D lo5Y3ndDGDgEDGD70bvNuM27pwvznGR7V6J3gkixSuLiRA56EnAIpIxK4doHQRkkpkZ+p+maVHWK VxcOm88g9ARSRiV1doHRY2JKZXP1P50ANWa3Fr5bMofGGTcN27v+OaZNbE+XPcCNmjHLBcEDvzUg ltxa+WxG7GGXPzbu/wCOaV1nWFTM6FBguAuOKAI7m6j3QiD95IW48vDbR3J9qlLGKdWuZE24wp6A GiSRJWjWB0MmcgjnA70MxjnVrh024wpxgA0ACkyzu1s6bMYY9QT/APq/pSRyxRGRZ5IxLuy24gZH bHtSqTJO7W7qFwAxxkE//q/pRHLHEZFndBJuyxPGR2/CgBqLObc+W6hTnYCOcfWhprdrYIjoW4Cq CM5oRZzAfLdQpyVBHOPrQ00DWwRGXccBVB5zQAsgkQI07oYgwL4GPx+maVnWWdPs0iFwDuIOQB7/ AI0kglQRtO6GNWBbAx9D9M0rOJZ0+zum8A7j1G30/P8AlQABxFOTcyICV+QngY7imeaFMkqTxRwk gbm6E+xzTwwiuCbh0yR8h6DHcVG8C3qyKBG8DEcMuQSO9Ane2g+OaCOJ1mkjDgneGI5pClx9lwWG 3H3cfNt9M+uKWOWGKJkmdA4zvB70hS4+y4LDbj7uPm2+mc9cUDFkmhkRFgkjMhI2bSOP8ilctHIj 3DoYx0OMAH3pJJYpERYHQyEjZjt/9alcvHKjTupjHQgYwfegA3CWfNtInA+cjke1CSLFM4uJEDnG CTgEe1G7zbgG3dOB85xke1COsUzi4dN5wQegIoASISsrtA6CMklMjP4/TNIJrcW3ls67gMFCw3bv 8c0sYlZZGgdFjYkplc/j9M0gltxbbGYbhwVzzn/HNACuswhUyupQY3gDHFLJLHK0awSIZM5GCDgd 80jrOsKmV1KDG8BcHFLJIkrRrA6GTOQRzgd6ABmMU6tcyJtxhD0AP/6v60KTLO7W7pswAx6gn2/C gkxzq1w6FcYU4wAe9CkyTu1u6bcAMcZBP/6qAEjliiMizyRiTOW3EDI7YpFWcwMY3UKc7ARzinRy xxGRZ3QSZy2eMjtSIs5gbynUKc7ARzigBGmt2thGjrvOAqhhu3f/AK6WUSJ5bTuhiDDdgY57E+2a RpYGtgiMu4gBVB5z2/Wll8xPLad0MasN2Fxz2P0zQArOssyfZ5ELgHcQcjHvQHEU5NzIgJHyE8DH ehnWWZPs7pvAO49Rj/8AXQG8q4JuHTJHynoMd6ACPfJJI8DoIyeuMgn2p8MttbxbpCq3JY7j1JPr RFFLMzvbOgQnuMgnuafHpIj+aWQtcO2QwHFc1aaeiOerJPQjhtWNy0+QxySmW4/WpVAQtk53HORz mrflSiHYTGTgfeGc/WpCUhCoMDjoowKwsYGS++OWNrh0KZwMDGD780bvNuM27pwPnOMj2offHLG1 w6FOgwuMH35NG7zJ827qML8xIyPavQO8EdYpXFw6bzyD0BFJGJXV2gkRY2J25XP1PXpmlR1jlcXD LvPIOMDFJGJXV2gdFjJO3cpP49emaAEWW3FrsYjdjDLn5t3+OaHWdYVMzoyDBcBcHH50LLbi22Nj cOCp6lv8c0Os6wqZpEZFwXAXBx9c0AOkkSVoxA6GTOQRzgd6CTHOrXDoVwQpAwAaJHSRkEDL5mcg 46DvQxMc6tcOhUghSFwAfzNAApMk7tbugUABiRkE/wD6qI5I4vMWd0EmcsTxkdse1ClpJ3a2dAoA DErkE/mO39KSOSOMyLOy+ZuyxI6+n6UAIqzmA+W6hDnaCvOPrmhpYGtgiMu4gBVB5zQizm3JjdAh yVBXnH1zQ0sDW4RCNxwFA65oAWQSoEad0aMEFsLj6Hr0zSu4lnT7O6bxkseo2+n50kglURtO6NGC NwVcfQ9emaVmEsyC3ZQ4yWOMjb6H8f5UARSSSwXSbxG+84LE7Qq98e+cVLHvd5GgdBGT3XOT3xzQ G8uc/aHQkj5SBgY70R73d2t3RYye65ye+ORQAkcsMcTLM6BwTvz3pClx9lxuG3H3cfNt9M564pY5 YY42WZl3gnfnvSGO4+y4LLsx9zb8230znrigBZJYpERYHQuSCmO1K++OWNp3Qp2wMYPvzTZpoWiX ymXdwVI7e/5VBZ3UlzbW93c7BHJkqApGPTPJ7UCur2LJbzZ827pwvzHGR7UI6xTOLh08w4IPQEe1 G7zJ827oCB8xIyPahHWOZxcMvmHBBxgY9qBiRiVldoHRY2JKBlz+PXpmkEtuLbYSNw4K55z/AI5p YxK6yNA6LGxOwMufx69M0gltxbbGxuHBXvn/APXQAOs6wqZXRkGN4C4OPrmnSSJK0awOhkzkEc4H fNI6zrCpldGQYLgKQcfXNLI6SNGsDL5mcg46DvQAEtHcK1w6FSMIQMAHvQpaSd2t3QLgBiRkE/8A 6qGLRzq1y6FSMIQuAD37n/OaFLSTu1u6BcAMSuQT+Y7UAEckcRkWd0EmcknjPpTUWcwExOoQ5Kgr k4+uadHJHGXWdl8zOWJHX0pqLOYD5boEOdoK5OPrmgAaWBrYIhG4jCqDzmlkEqeW07o0QYbsLjns evTNI0sDWwRCNxACjvnt+tLIJU8tp3RowRuCrjnsevrQArOJZk+zum8Z3HqMf/roDeVOftDpkj5T jAx3oZhLMn2dlDjO44yMf/roDeXOTcMpJHykDAx3oAmsZke5nSJshl/4D71q3U0VqiyykgA9hVDT I08+WeMLtbv646mmale2rs0LxSMAfvA4rin8TOKfxMlbWbViNmXY8YC9atG2M2HfahI6c1BptvC6 fafsyxnon09aSbUofNIEwAHHC5qfUkz33pLG1w6GPoMLjB9+TRu8yfNu6AhfmJGR7dxSPvjlR7h0 aPoNqEYPvyaN3mz5tnQEL8xK5HtxkV3neKjrHM4uGXecEHGARSRiZ1kaB41jJO3chP49RxmhHWKV xcMpc8g4wCPpzRGJnV2t5I1jYnbuQn8eo4zQAiy24ttjY3AbSpPJbp+eaV1nWFTNIjIuC4CEHH1z SCW3FtsYfMBtK99319c0OtwsKmaSNkXBcBCCfxz/AEoAdI6SMggZfMzkHGcDvQS0c6tcOhUjCkLg A/maSSRJWRYGXzM5BxwB3zSktHOrXLoykYUhcAHv3NAApaSdmt3QKBhiVyCfzHaiOSOMyLOy+bnL HHUdqRS0k7NbOiqBhyVyCfzHaiOSOIus7L5ucscdR2oARFnMB8t0VDnaCpJx9c/0oaWBrYIhG4gB R3zQiXDQHypEVDkqpQk4+uf6UNLA1uETG44Cgdc0ALIJUEbTujRqw3BVI+h6njNK7CWZBbuodclj jI2+h/H+VJIJkEbTyRtGrDcFQj6Hqe9DMJZk+zMocZLMRkY9Mcd8flQAoby5z9odCxHykDAx39aE 3u7tbuixk91zk+3IpA3lTn7SyFiPlIXAx6YyaE8x3drd0WMn+JCcn25FABHLDHE6zMu8Z3570hS4 +zYLLsxym07tvpnPXHtQksMcTrMV3jO/I60hjufs2C67O6bTu2+mc9ce1ADbvyruzaCF1DyrtQj+ HI6/lRFCbOO3jldGijUIpC7eQOp5NPklilRFgZfMJGwgdPelffHIjXDo0fQbUIwfzNArK9xS3mXA Nu6AhfmJGR7dxQjiOZxcMu84IOMDHtSFvNnBtnQED5yVyPbjIoRxFK4uGUucEHGAR9OaBhGJXV2g dFjYnZuUn8evTNIssAtthxuAwV75/wD10sYmdXa3kRI2J2hkJ+p6jvSCW3FtsbG4DBXvn/8AXQAr rOsKmV0ZBguApBx9c0sjpI0awMvmZyDjOB3zTXWdYVMsiNGMFgEIOPrn+lLJIkrIsDL5ucg4zgd6 AFJaO4Vrl0KkYQhcAHv3NClpJ2a2dAuMMSuQT+Y7UhLRzq1y6MpGEIXAB79z/kUKWknZrZ0VQMMW XIJ/MUALHIkZkWdl8zOWOOvpTUW4MDeU6BDkoCpJx9c/0pY5I4t6zsvmZyxx1pFS4aBjFIioclFK EkD65/pQANLA1sETG44Cr3z2/WlkEqeW1w6NGCN21COex6nvSNLbtbhExuOAq989v1pZBKnltcSR tEp+bahHPYnk96AFZxLOgt3QOASxxkYoDeXOftDoSR8pAwMfrQzCWZBbsocAksRkY+nFAbypz9pd CSPlIXAx9MmgCSCebe5t3j8kno6E5PfGCKtfbLaG086dVLhtpQDv7VRTzHkdrd0WMn+JCcn25FMt 7Gdo5JAiyybyG3EYz9K560UldIwrRSVyXUtcMkXkWYZWbGXI6D0xVWCzmWILsVcdMrnNa9rpaLh5 44xJ1wvar/l44GAK57X3Oe5gSM0LpJcyRmIcZC7QD78mkWUXE260lj+UYdsbh7DqKKK9DrY7+tgE 0dvK4upUDtyGxgEe1LF5siu9vLGsTHKbkLZ9xyKKKOtgW9hgubVYPJdlEmNpQn5t3+Oac6zrCpmk jZFwXAQg4+uf6UUUkJag1xFcMi20qGUHII5wPeld/ImV7uSPaRhSF2gH8zRRRfS4X0uIjmeZpLSS MJjDMV3An8x0/rSLcQ25dLmVFlzkk8ZHYj2ooovpcL6XFVLhoD5UiKhyVUoSQPrn+lNNzavCIo3U yHhUB5zRRQweg6XzYwj3EkbRKcvtQrj3PJ70eclxKv2SVC653NjIA9CKKKfWw3vYDKtvMTdyx5Yf K2Nox6dTSxl5XeS2kjER7lC2T6jkUUUutg62Grc20KNHPIgkBO8Hv70eXc/ZsF12dSm07tvpnPXH tRRQtQWoNc286rHbyoZSRsx296dIzQuklzJGYxxkLtAPvyaKKL6XEndXEEouJt1pLH8o+dsbh7Dq KBNHbyuLqVA7chsYBHsKKKL6XC+lwi82RXe3kjWJiSm5Cfx6jvTRc2qweSzqJANpTPzZooo2BuyH Os6wqZZEZFwXAQg4+uf6UNcQ3DIltKhlByCOcDvmiihjejsDv5EyvdyR7CMKwXaAfzPX+lCOZ5mk tZIwmMMSu4E+2CKKKfWwdbCLcQ25dLmVBLnJJ4z9KVVuGgYxSIqNkoChJx9c/wBKKKSEtXYabm1e IRRupkPCoDzmnS+bGEe4kjaJTltqFfoTyeM0UUJ3BO6DzkuJU+yyoXXO5sZAHoRxQZVt5ibuWPLD 5GxtHuOpooovpcL6XFjLyu8ltJGIiepUtk+o5FX9HhULIZJGd93zZ6Z9qKKyrL3UzKt8Ny8qRC8d kLNJjnJOBTnljVsF+fpRRXOcx//Z