20211217 17211000 1.0 FALSE STATE_SpatialJoin4 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/2.8.0'><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>1111948722.2222221</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> 20211217 18110700 20211217 18110700 Esri ArcGIS 12.8.0.29751 STATE_SpatialJoin4 Tribes India Railways Schduele Tribe data on railways File Geodatabase Feature Class dataset EPSG 6.2(3.0.1) 0 Simple FALSE 0 TRUE TRUE STATE_SpatialJoin4 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Join_Count Join_Count Integer 4 0 0 TARGET_FID TARGET_FID Integer 4 0 0 STATE_ID STATE_ID Double 8 0 0 NAME NAME String 29 0 0 C_CODE01 C_CODE01 String 17 0 0 TOT_NM_HH TOT_NM_HH Double 8 0 0 TOT_POP TOT_POP Integer 4 0 0 M_POP M_POP Integer 4 0 0 F_POP F_POP Integer 4 0 0 TOT_L6 TOT_L6 Integer 4 0 0 M_L6 M_L6 Integer 4 0 0 F_L6 F_L6 Integer 4 0 0 TOT_SC TOT_SC Integer 4 0 0 M_SC M_SC Integer 4 0 0 F_SC F_SC Integer 4 0 0 TOT_ST TOT_ST Integer 4 0 0 M_ST M_ST Integer 4 0 0 F_ST F_ST Integer 4 0 0 TOT_LIT TOT_LIT Integer 4 0 0 M_LIT M_LIT Integer 4 0 0 F_LIT F_LIT Integer 4 0 0 TOT_ILLT TOT_ILLT Integer 4 0 0 M_ILLT M_ILLT Integer 4 0 0 F_ILLT F_ILLT Integer 4 0 0 TOT_W TOT_W Integer 4 0 0 M_W M_W Integer 4 0 0 F_W F_W Integer 4 0 0 TOT_MNW TOT_MNW Integer 4 0 0 M_MNW M_MNW Integer 4 0 0 F_MNW F_MNW Integer 4 0 0 TOT_CULT TOT_CULT Integer 4 0 0 M_CULT M_CULT Integer 4 0 0 F_CULT F_CULT Integer 4 0 0 TOT_AGLB TOT_AGLB Integer 4 0 0 M_AGLB M_AGLB Integer 4 0 0 F_AGLB F_AGLB Integer 4 0 0 TOT_MFHH TOT_MFHH Integer 4 0 0 M_MFHH M_MFHH Integer 4 0 0 F_MFHH F_MFHH Integer 4 0 0 TOT_OTH_W TOT_OTH_W Double 8 0 0 M_OTH_W M_OTH_W Integer 4 0 0 F_OTH_W F_OTH_W Integer 4 0 0 TOT_MRW TOT_MRW Integer 4 0 0 M_MRW M_MRW Integer 4 0 0 F_MRW F_MRW Integer 4 0 0 T_MRG_CULT T_MRG_CULT Double 8 0 0 M_MRG_CULT M_MRG_CULT Double 8 0 0 F_MRG_CULT F_MRG_CULT Double 8 0 0 T_MRG_AGLB T_MRG_AGLB Double 8 0 0 M_MRG_AGLB M_MRG_AGLB Double 8 0 0 F_MRG_AGLB F_MRG_AGLB Double 8 0 0 T_MRG_HH T_MRG_HH Double 8 0 0 M_MRG_HH M_MRG_HH Double 8 0 0 F_MRG_HH F_MRG_HH Double 8 0 0 T_MRG_OTH T_MRG_OTH Double 8 0 0 M_MRG_OTH M_MRG_OTH Double 8 0 0 F_MRG_OTH F_MRG_OTH Double 8 0 0 TOT_NNW TOT_NNW Integer 4 0 0 M_NNW M_NNW Integer 4 0 0 F_NNW F_NNW Integer 4 0 0 R_TOT_NM_H R_TOT_NM_H Double 8 0 0 R_TOT_POP R_TOT_POP Double 8 0 0 R_M_POP R_M_POP Integer 4 0 0 R_F_POP R_F_POP Integer 4 0 0 R_TOT_L6 R_TOT_L6 Integer 4 0 0 R_M_L6 R_M_L6 Integer 4 0 0 R_F_L6 R_F_L6 Integer 4 0 0 R_TOT_SC R_TOT_SC Integer 4 0 0 R_M_SC R_M_SC Integer 4 0 0 R_F_SC R_F_SC Integer 4 0 0 R_TOT_ST R_TOT_ST Integer 4 0 0 R_M_ST R_M_ST Integer 4 0 0 R_F_ST R_F_ST Integer 4 0 0 R_TOT_LIT R_TOT_LIT Integer 4 0 0 R_M_LIT R_M_LIT Integer 4 0 0 R_F_LIT R_F_LIT Integer 4 0 0 R_TOT_ILLT R_TOT_ILLT Double 8 0 0 R_M_ILLT R_M_ILLT Integer 4 0 0 R_F_ILLT R_F_ILLT Integer 4 0 0 R_TOT_W R_TOT_W Integer 4 0 0 R_M_W R_M_W Integer 4 0 0 R_F_W R_F_W Integer 4 0 0 R_TOT_MNW R_TOT_MNW Double 8 0 0 R_M_MNW R_M_MNW Integer 4 0 0 R_F_MNW R_F_MNW Integer 4 0 0 R_TOT_CULT R_TOT_CULT Double 8 0 0 R_M_CULT R_M_CULT Integer 4 0 0 R_F_CULT R_F_CULT Integer 4 0 0 R_TOT_AGLB R_TOT_AGLB Double 8 0 0 R_M_AGLB R_M_AGLB Double 8 0 0 R_F_AGLB R_F_AGLB Integer 4 0 0 R_TOT_MFHH R_TOT_MFHH Double 8 0 0 R_M_MFHH R_M_MFHH Double 8 0 0 R_F_MFHH R_F_MFHH Integer 4 0 0 R_TOT_OTH_ R_TOT_OTH_ Double 8 0 0 R_M_OTH_W R_M_OTH_W Double 8 0 0 R_F_OTH_W R_F_OTH_W Double 8 0 0 R_TOT_MRW R_TOT_MRW Double 8 0 0 R_M_MRW R_M_MRW Integer 4 0 0 R_F_MRW R_F_MRW Integer 4 0 0 R_T_MRG_CU R_T_MRG_CU Double 8 0 0 R_M_MRG_CU R_M_MRG_CU Double 8 0 0 R_F_MRG_CU R_F_MRG_CU Double 8 0 0 R_T_MRG_AG R_T_MRG_AG Double 8 0 0 R_M_MRG_AG R_M_MRG_AG Double 8 0 0 R_F_MRG_AG R_F_MRG_AG Double 8 0 0 R_T_MRG_HH R_T_MRG_HH Double 8 0 0 R_M_MRG_HH R_M_MRG_HH Double 8 0 0 R_F_MRG_HH R_F_MRG_HH Double 8 0 0 R_T_MRG_OT R_T_MRG_OT Double 8 0 0 R_M_MRG_OT R_M_MRG_OT Double 8 0 0 R_F_MRG_OT R_F_MRG_OT Double 8 0 0 R_TOT_NNW R_TOT_NNW Double 8 0 0 R_M_NNW R_M_NNW Integer 4 0 0 R_F_NNW R_F_NNW Integer 4 0 0 U_TOT_NM_H U_TOT_NM_H Double 8 0 0 U_TOT_POP U_TOT_POP Double 8 0 0 U_M_POP U_M_POP Integer 4 0 0 U_F_POP U_F_POP Integer 4 0 0 U_TOT_L6 U_TOT_L6 Integer 4 0 0 U_M_L6 U_M_L6 Integer 4 0 0 U_F_L6 U_F_L6 Integer 4 0 0 U_TOT_SC U_TOT_SC Integer 4 0 0 U_M_SC U_M_SC Integer 4 0 0 U_F_SC U_F_SC Integer 4 0 0 U_TOT_ST U_TOT_ST Integer 4 0 0 U_M_ST U_M_ST Integer 4 0 0 U_F_ST U_F_ST Integer 4 0 0 U_TOT_LIT U_TOT_LIT Integer 4 0 0 U_M_LIT U_M_LIT Integer 4 0 0 U_F_LIT U_F_LIT Integer 4 0 0 U_TOT_ILLT U_TOT_ILLT Double 8 0 0 U_M_ILLT U_M_ILLT Integer 4 0 0 U_F_ILLT U_F_ILLT Integer 4 0 0 U_TOT_W U_TOT_W Integer 4 0 0 U_M_W U_M_W Integer 4 0 0 U_F_W U_F_W Integer 4 0 0 U_TOT_MNW U_TOT_MNW Double 8 0 0 U_M_MNW U_M_MNW Integer 4 0 0 U_F_MNW U_F_MNW Integer 4 0 0 U_TOT_CULT U_TOT_CULT Double 8 0 0 U_M_CULT U_M_CULT Integer 4 0 0 U_F_CULT U_F_CULT Integer 4 0 0 U_TOT_AGLB U_TOT_AGLB Double 8 0 0 U_M_AGLB U_M_AGLB Double 8 0 0 U_F_AGLB U_F_AGLB Integer 4 0 0 U_TOT_MFHH U_TOT_MFHH Double 8 0 0 U_M_MFHH U_M_MFHH Double 8 0 0 U_F_MFHH U_F_MFHH Integer 4 0 0 U_TOT_OTH_ U_TOT_OTH_ Double 8 0 0 U_M_OTH_W U_M_OTH_W Double 8 0 0 U_F_OTH_W U_F_OTH_W Double 8 0 0 U_TOT_MRW U_TOT_MRW Double 8 0 0 U_M_MRW U_M_MRW Integer 4 0 0 U_F_MRW U_F_MRW Integer 4 0 0 U_T_MRG_CU U_T_MRG_CU Double 8 0 0 U_M_MRG_CU U_M_MRG_CU Double 8 0 0 U_F_MRG_CU U_F_MRG_CU Double 8 0 0 U_T_MRG_AG U_T_MRG_AG Double 8 0 0 U_M_MRG_AG U_M_MRG_AG Double 8 0 0 U_F_MRG_AG U_F_MRG_AG Double 8 0 0 U_T_MRG_HH U_T_MRG_HH Double 8 0 0 U_M_MRG_HH U_M_MRG_HH Double 8 0 0 U_F_MRG_HH U_F_MRG_HH Double 8 0 0 U_T_MRG_OT U_T_MRG_OT Double 8 0 0 U_M_MRG_OT U_M_MRG_OT Double 8 0 0 U_F_MRG_OT U_F_MRG_OT Double 8 0 0 U_TOT_NNW U_TOT_NNW Double 8 0 0 U_M_NNW U_M_NNW Integer 4 0 0 U_F_NNW U_F_NNW Integer 4 0 0 SCpercen SC% Double 8 0 0 STpercen ST% Double 8 0 0 ILITpercen ILIT% Double 8 0 0 f_code f_code String 5 0 0 nam nam String 50 0 0 soc soc String 3 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. 20211217 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3Kiq1 vO06n50DegHSq87XG8gyqoHocZoAvs6r1Iz6UKOS2OtVbOAgGSRgxPTvVygAooooAaQQ2QM0oOaZ PMsEe9ufb1rMmvXdjsygPpQBrbhnGRn0pc56VixRTTZZATjqc1qWsbRQBWzu70CJqKQkDrUcs3lq OOScDNAyWiqsTm4YncV2nGBVqgAooooAKKKKACioJxK7qiHah+8wp6wIo7/XNAElFRmFSeS350/c Acd6AFJA60hbjgikB3N0PApcD0FACFAc55PrR8w96dRQAA5GaKaDjOfX0pQQehoAWiiigAooooAK KKKAEIB6il6UUhIHWgBajYOW4JA9qfuHbn6UmT/doAw1d0BCsRnrg02tgWUAGNmfcmmSafE33Mqa YrGbHNJEcoxFaEOoKwAkwrevY1XbTpgeCpH1pRp0u7BK49aANINkZwceopdy+opkaNHGqA5wKUsd mdoxSGQ3sQkgLbcsvTFZFbqhh7j0qheWm394g4PUelAmLZXSLlZMA9mrQBBAIOQawKvQtcb1fYzI RwO1AGifvj6GkYKcbse2aTDZB4pQo78mgY1IY0yUXGTninfN7fWjBB46elKDnr1FACfMPSnA5GaK byvTkUAOpCwHU00vnvimodq56+vNAEm4dufpSFwOufypQQRnGKa2x1wQGHpQACVG6NnFLn5xj0pq IEGEQKKeqhcnuaAFooooAKKKKACkIB60tFADc7Tgnjtml3L6ilooATcvqKWik2jtkfSgBaKbg/3j il2j0z9aAAkDqaQZLZ6ClAA6AUtABRRRQAUVE9zEi7i4PsDTIrxJjhFOe+aALFFNy390fnR83sKA HVE2AT8wX+VPG49TgewqOWLepBbg98dPegB6hgME4FUb+VgqxYPqTWgvCgZzjvUctvHNjeuSOhzQ BiVf0+Zi5jOSMcc9Ka+myBvkYEe9TW1k8MgcuOnOKYi4WA6kUoIIyKQAAUFQe35Uhi0hGeehpOV9 xTs8UAJkjqPxFITkfKaMljwePWjYecMeaAECA4bPNIqgfdI/KnbeME8eg4pGJDfKAcCgAIO4Z5FP 461Eizy8qyqp75yfyx/WnlXiHz8j+8BU86vYB1FIWAGSQBQGDDIINUAtFFFABRRRQAUUUUAFFFFA BRTFMnmMGC7OxFPoAKKKKACiiigAooooAxWlj2bUiAPqeasaerAs/bpVEDJwK2LePy0UDGQOaBIs U0nPA5pD8wOST7ClDYAypFAxw4FIxwpNLRQAijC4pabgryOnpTqACiiigAooooAa3p60bR70Njgn 1p1ABRRQSAOaAEJwMmkHLZ7UZ3HHOO/anUAJEn78lflAHIHerPUYNVHJjDOrYIHpmljeSVwJV8sY 4Abqa5qukteoEhjghBcqAB3PNRJ8zs+0Lu6CluN6IOVdCcMHFCDagBOaumuoDqKKK2AKKKKACiii gAooooAKKKKACiiigAooooAKKKKAI1WNlyqr+VKrDBJ61FO/2cGQLlSeR7+tFrcLOuMYYdqAJgDk np7U6iigBNuORwaA3rwaWjGaAGkg8DmqjagiMV2k471c2j0rNvbZlcyKMqevtQBoo4kQOvQ06sq0 vPIUo4JXPHtWmkiyLuUgigB1FIzKoyxAHvS0AIxwpIGaRWAFOpv3SPSgBdw9/wAqQLnkjmnUUAFF NZsYAGWPAFL5Ur/K21R3IPWpcktwIpN0gOE3Rr97B5NDEzx4Rdv+0f4fpV1VCjCjAqCaGRmPlkAM DuzXDXi6j5luVF2Ioir/APHwofdjDFe1OkXy5AsR68kE5AFNt9qx+SzAsvBUnJpxgGSyEq31qKWJ 5HaY3HsLkj735inA56VGWkX70e73WmrKrnglD6NXfGrCfwslpomoqOR2jiZyAdoJ4qOCcyq27apB rQm6vYsU15EiXc7BV9ScVR1HUzYQiQRecDx8rdDXLt/auv3DphtgO4qflVa2p0edczdkebjszjhm qcIuc3sl/mdkt1A83krMhkxnaDzipq4VbG7sL5Gs5FuJEHzNGMhPY12sJkESeaQzEDJAxzSq04xs 4u6LwGMqYlSVSm4tfNff18yWiiisj0AooooAKKKKACiiigBsiCSNkPQisdWe1uPdTz71tVn6hGW2 uq9OpFAmXo3EkauOhGadWRa3TROqk5jJ6ela9AwooooAKCMjFFFAGTcWwih3nht2MZ7VXV2U/KxB 9q2poUmXDLmmLbwI24RgH3oFYotDKbdpJmYnqFJ/WpotRQIFdGyBjIq6MMSeo6YqpLpyEExsQfQ0 ASLfwMcbiPqKDd24OWkyfoayXRkYqwwRSUwua32+DGdx+mKlhnSdSUzx2NYlSQytC+9cZ96AubUi b0I79j6GpY5g6/MVVgcEZrjbm6vxcMXuJOem1sDH0qkzM7bmYs3qTmh0efqZyq26HomQBntVdrlZ Ld5Ld0cr6Guc0jWGhQ2sqtKHPynP6VoiPBPzHldpA4rNYeV9TGti4wt5jJJT8snlu7MeT3Aq8L2H OCJBx1KGqpRSACOlOJwMmnWwkar957HDSxsqS91XvvcuieNkLKcj070xY1WNvN2bc557fU1neW00 bB3xuBXKjGRXOy743eEyMVU468Vy/wBmu+ktD0KWPU1ZrU6q9ltoEVPMKtN8qbWOPr9KI4m2Iy72 2sOH5yPUZ5qjpGl2sqJcmQysp+6RgA1rw/KXT+63HPY80qShz+zu213Oq7auI0wX5iBgdvKIz+NZ eufbbsG3tdkMIwXYtgufTj0qXVluHgmMTEbE3Ag9MVB4ejln05JriRm+c7c9wPX8a76dNQ/edjy8 VJ1qn1SzV1dvyW679TUsrVbO0jhUDKqASBjJ9am+83HQU6mkbeQT1zipbuelGKilFbDqKAcjNJvX 1oGLRTd2egJFKDmgBaKKKACikLKM5IGKj+0w/wDPRfzoAftHqaUqCMHpS0UAYc6COd1HQGtiGVZo wyn6j0rPvrd1lMoGUP6VXhmaGQMDx3HrTEblFIrB1DA5BpaQwoopN3oCaAFoppLYzgfnRjPU5oAU dSabLKsSEkjOM49aVmWNCx4AGaybudbiQMoIAGOaAIpZTNIXPemUUUyQooooArXVqJ13Lw46e9U4 7KV2wy7V7k1q0VSk0rEuCbuVdEtPOvWODsjz8w9a6E2smQA4I9SOadYHNnGcAHHOKsk4GTXkVcZV 9o+V2KeFpSS5lcqizOT+9OO3FQzw+W6AvuBycEVaH75ycsFXgYyOar3IdZFLn5B0Y/yq8PiKsqqj KRhicNSjSlKMdSByWJRR25NJJawSjDxKR9KIkDOzRpyT94jgD3NQSzuzFVYBR3U9fxr1vaxvy31P Lp4arOzirLuK8jQyMkB8sFfm21BaGa183E7yNI25mfrS4xRWTjHm5ransUoOnBRuWIZyZT5p3Bxt Oa1IIY7eFY4lCoOgFYdaFhcAHymJyemaZdle5oUHpzRTQN2Sc9elIobyThDxShSuOPrilYYwRx2p dw9fyoAAc59qq3N2sLFU5fuO1TNuEbbeWI4NYrAhiGznvmgTNG2vmkYq4A4zmopNRkOQgC1LbvbQ 24bK7sc+tZ8j75GbAGT2pgK8ryHLsTTKKKBHQUUUjfdpFCbd6/NzntWJIhjkZfQ4rb+b0AqGe2WY fMMH1FAmVbCVsmLnB5+laO33NZcCtbXiq3Q8Z9a1aAQ3af7xxTqa7rGuXYAe9VJtQRRiIbj6mgZc JABJ6CqD6iF4jXI9TVaW7mlBBbA9BUFArks07TOWPGe1RUUUxBRRRQAUUUUAFFFFAGjp822Fk43B uB9a0Fgyd0jbu+3tWHbSCK5jc9AefpXQS5ML7fvbTiuKdGMZuXcvmdrEMRBDEd2NNnlhjQ+aVx/d POaS3lDxqNrIcfdYYNZuo/8AH5/wEVxU6ftKtnoaN2iNubozMUj+WEDAUcZqvRRXrwhGCtExbuFF FFWIKnswv2pCxwBzUFFAGxPdpCMZy3YCpI5A6q46N2rDrTsHzAB/dOKQy4QCMGlwPSikJ5wOTQMT jcQehqld2hcl0Hz9x61cbdx8v5GjksuRigDCIwcGireoJtuMgcMKqUyQooooA3lbd2xR94+wpGGB 8v0pwGBgUihFZmzuXbg4HPWnUUUAV541ZCxH3eQccg1Rkv5nXbkL24FajKOuKgNnA8m/HXt2oEZJ JbqSaVUdjhVJPsK2kgijJKoAakoCxhywvDt3jG4ZxTVKBSGUluxBqzqDhrjb/dFVKYgooooAKKKK ACiiigAooooAK2LK+3QKJSSw+UkCserFmR5+w9JBj8eorCunycy6FR3sarKZ33OzhQflUcf/AF6y btg1yyqm0J8uPX3rUe4WK2MjkZA6etZLLJKrXBHDHnFcmEUp1HNlz0ViKiiivSMgooooAa52ox9B TYF2wICDnHc08jIIpe1ABVuwI84gnGRVSrdipLuwGcLQMWa5KXhkQAkDHNWrW688kEYbHOKy3DBz uGD3pY5GibcpwaAubpOBmm8sQcYA9arW0/nxs0mABxnNV7m+YsUiOF9aQxdSbMiLxwKo0pJJyTk0 lMkKKKKAN45zk9KdRTFYZx+VIofRRRQAUhUGlpM+lACHI4Bz9aZPMIYS569vrUgGPrWXfz+ZJsX7 q/zoAqsSzFj1PNJRRTJCiiigAooooAKKKKACiiigAo5ByDgjvRRQA+SV5du9s7RgVp2iq9mFPIOc 1k1PFdywxlEIx7jpUqKirIdyORPLlZM5wcUylJLEknJPU0lUIKKKKACmA/vCpPbI4p9FABVi1uPI fkfKetOWyeSJXjYNnqOmKglieF9rjmgC3fx72WVFJDDkiqNaOnktGwyMqePpSXloAplTr/EKBlDe 2zbk7c5xSUUUCFGO9HGKSigAopVVnOFBJ9quxafvjDM+0ntigDQKkjrTJBnY/ZTyKd5ibtoYFvTN OAwOaRQmPQ4oI4JJ/KnUjfdNACBeOeTTqRmCqWY4A6msy5vmkJWPKr69zQBNeXezMcZ+bufSs2ii mSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAE8E8kHzLyvcVovHHeQq35 H0rHq3bzLFcIEc+W3UHsaBixbrG5w/3G71em/eWz7DnI4xUpVWGCAarPE9vl4T8vUqaQGT0pcgNn qB606Vg8hYd+cYplMQHrU0NrLMNygbfU1btbaOS2DMoJJq3HH5aBFG1R75pDsR29ssMWDyx5JqUK CM4+lLtJGCePpTqBmRZx+ZOMZwOTzitYEdOn1pqQxxnKqAaeQD1oAKRvumkztOD07GqOoTkERKcc fNQBFeXRlbYp+UdfeqlFFMkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAp6YOVLYGP1plFAGnYTllMTHlen0q267kK5xkdaxUmaNlZfvDv61rwTrPHuXg9x6UhozZba QTCJfmwOD0qsRg4NbsgGwsQCQMisgzAyl2jU5GMUwLFhPtPlEdTkGtKsFHMcgdeoOaupqR53pn0x SC5o0VSi1BXYK67c988U9r+BTjJPuBQMtUUUUAIThSaw5SS/OM9SaKKBMZRRRTEFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFOjkaNtyHBoooA0BfCVPL2Hew x7Zqq1lOozsz9DRRQMgIIOCMGggg4II+tFFAhKKKKAP/2Q==