20230417 14073800 1.0 FALSE UrbSch_allDat_copy2 002 0.000 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_California_Teale_Albers <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/3.1.0'><WKT>PROJCS[&quot;NAD_1983_California_Teale_Albers&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;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,-4000000.0],PARAMETER[&quot;Central_Meridian&quot;,-120.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.0],PARAMETER[&quot;Standard_Parallel_2&quot;,40.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3310]]</WKT><XOrigin>-16909700</XOrigin><YOrigin>-8597000</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3310</WKID><LatestWKID>3310</LatestWKID></ProjectedCoordinateSystem> 20230818 11374500 20230818 11374500 Esri ArcGIS 13.1.2.41833 UrbSch_allDat_copy2 File Geodatabase Feature Class 0.000 dataset EPSG 6.8(9.2.0) 0 Simple FALSE 0 TRUE TRUE UrbSch_allDat_copy2 Feature Class 0 Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. CDSCode_1 CDSCode_1 String 254 0 0 Level Level String 254 0 0 NCESSCH NCESSCH String 254 0 0 SURVYEAR SURVYEAR String 254 0 0 LEA_NAME LEA_NAME String 254 0 0 LSTREET1 LSTREET1 String 254 0 0 LCITY LCITY String 254 0 0 LZIP LZIP String 254 0 0 PHONE PHONE String 254 0 0 r85_1990_2035 r85_1990_2035 Double 8 0 0 r85_1990_2070 r85_1990_2070 Double 8 0 0 TOTFRL TOTFRL Integer 4 0 0 TOTAL TOTAL Integer 4 0 0 AM AM Integer 4 0 0 HI HI Integer 4 0 0 BL BL Integer 4 0 0 WH WH Integer 4 0 0 HP HP Integer 4 0 0 TR TR Integer 4 0 0 FTE FTE Double 8 0 0 ULOCALE ULOCALE String 254 0 0 STUTERATIO STUTERATIO Double 8 0 0 School School String 254 0 0 TotPop19 TotPop19 Double 8 0 0 CIscore CIscore Double 8 0 0 CIscoreP CIscoreP Double 8 0 0 Ozone Ozone Double 8 0 0 OzoneP OzoneP Double 8 0 0 PM2_5 PM2_5 Double 8 0 0 PM2_5_P PM2_5_P Double 8 0 0 DieselPM DieselPM Double 8 0 0 DieselPM_P DieselPM_P Double 8 0 0 Pesticide Pesticide Double 8 0 0 PesticideP PesticideP Double 8 0 0 Tox_Rel Tox_Rel Double 8 0 0 Tox_Rel_P Tox_Rel_P Double 8 0 0 Traffic Traffic Double 8 0 0 TrafficP TrafficP Double 8 0 0 DrinkWatP DrinkWatP Double 8 0 0 Lead Lead Double 8 0 0 Lead_P Lead_P Double 8 0 0 Cleanup Cleanup Double 8 0 0 CleanupP CleanupP Double 8 0 0 GWThreat GWThreat Double 8 0 0 GWThreatP GWThreatP Double 8 0 0 HazWaste HazWaste Double 8 0 0 HazWasteP HazWasteP Double 8 0 0 ImpWatBod ImpWatBod Double 8 0 0 ImpWatBodP ImpWatBodP Double 8 0 0 PollBurd PollBurd Double 8 0 0 PolBurdSc PolBurdSc Double 8 0 0 PolBurdP PolBurdP Double 8 0 0 Asthma Asthma Double 8 0 0 AsthmaP AsthmaP Double 8 0 0 LowBirtWt LowBirtWt Double 8 0 0 LowBirWP LowBirWP Double 8 0 0 Cardiovas Cardiovas Double 8 0 0 CardiovasP CardiovasP Double 8 0 0 Educatn Educatn Double 8 0 0 EducatP EducatP Double 8 0 0 Ling_Isol Ling_Isol Double 8 0 0 Ling_IsolP Ling_IsolP Double 8 0 0 Poverty Poverty Double 8 0 0 PovertyP PovertyP Double 8 0 0 Unempl Unempl Double 8 0 0 UnemplP UnemplP Double 8 0 0 HousBurd HousBurd Double 8 0 0 HousBurdP HousBurdP Double 8 0 0 PopChar PopChar Double 8 0 0 PopCharSc PopCharSc Double 8 0 0 PopCharP PopCharP Double 8 0 0 Child_10 Child_10 Double 8 0 0 Hispanic Hispanic Double 8 0 0 White White Double 8 0 0 AfricanAm AfricanAm Double 8 0 0 NativeAm NativeAm Double 8 0 0 OtherMult OtherMult Double 8 0 0 SUM SUM Double 8 0 0 rcp45_fut rcp45_fut Double 8 0 0 avg30y_61_90 avg30y_h Double 8 0 0 rcp45_mid rcp45_mid Double 8 0 0 rcp85_fut rcp85_fut Double 8 0 0 rcp85_mid rcp85_mid Double 8 0 0 Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. canopy_p canopy_p Double 8 0 0 area area Double 8 0 0 EnrolTotal EnrolTotal Integer 4 0 0 Shape_Leng Shape_Leng Double 8 0 0 rcp85mid_N rcp85mid_N Integer 4 0 0 Combin2 Combin2 Integer 4 0 0 YearReport YearReport String 7 0 0 OpenDate OpenDate Date 8 0 0 ClosedDate ClosedDate Date 8 0 0 SchoolLeve SchoolLeve String 35 0 0 GradeLow GradeLow String 2 0 0 GradeHigh GradeHigh String 2 0 0 Charter Charter String 1 0 0 TitleIStat TitleIStat String 1 0 0 DASS DASS String 1 0 0 AssistStat AssistStat String 30 0 0 Latitude Latitude Double 8 0 0 Longitude Longitude Double 8 0 0 YearData YearData String 9 0 0 EnrollTota EnrollTota Integer 4 0 0 AAcount AAcount Integer 4 0 0 AApct AApct Single 4 0 0 AIcount AIcount Integer 4 0 0 AIpct AIpct Single 4 0 0 AScount AScount Integer 4 0 0 ASpct ASpct Single 4 0 0 FIcount FIcount Integer 4 0 0 FIpct FIpct Single 4 0 0 HIcount HIcount Integer 4 0 0 HIpct HIpct Single 4 0 0 PIcount PIcount Integer 4 0 0 PIpct PIpct Single 4 0 0 WHcount WHcount Integer 4 0 0 WHpct WHpct Single 4 0 0 MRcount MRcount Integer 4 0 0 MRpct MRpct Single 4 0 0 ELcount ELcount Integer 4 0 0 ELpct ELpct Single 4 0 0 FOScount FOScount Integer 4 0 0 FOSpct FOSpct Single 4 0 0 HOMcount HOMcount Integer 4 0 0 HOMpct HOMpct Single 4 0 0 MIGcount MIGcount Integer 4 0 0 MIGpct MIGpct Single 4 0 0 SEDcount SEDcount Integer 4 0 0 SEDpct SEDpct Single 4 0 0 SWDcount SWDcount Integer 4 0 0 SWDpct SWDpct Single 4 0 0 ELAcolorAL ELAcolorAL Integer 4 0 0 ELAcolorAA ELAcolorAA Integer 4 0 0 ELAcolorAI ELAcolorAI Integer 4 0 0 ELAcolorAS ELAcolorAS Integer 4 0 0 ELAcolorFI ELAcolorFI Integer 4 0 0 ELAcolorHI ELAcolorHI Integer 4 0 0 ELAcolorPI ELAcolorPI Integer 4 0 0 ELAcolorWH ELAcolorWH Integer 4 0 0 ELAcolorMR ELAcolorMR Integer 4 0 0 ELAcolorEL ELAcolorEL Integer 4 0 0 ELAcolorFO ELAcolorFO Integer 4 0 0 ELAcolorHO ELAcolorHO Integer 4 0 0 ELAcolorSE ELAcolorSE Integer 4 0 0 ELAcolorSW ELAcolorSW Integer 4 0 0 MathcolorA MathcolorA Integer 4 0 0 Mathcolo_1 Mathcolo_1 Integer 4 0 0 Mathcolo_2 Mathcolo_2 Integer 4 0 0 Mathcolo_3 Mathcolo_3 Integer 4 0 0 MathcolorF MathcolorF Integer 4 0 0 MathcolorH MathcolorH Integer 4 0 0 MathcolorP MathcolorP Integer 4 0 0 MathcolorW MathcolorW Integer 4 0 0 MathcolorM MathcolorM Integer 4 0 0 MathcolorE MathcolorE Integer 4 0 0 Mathcolo_4 Mathcolo_4 Integer 4 0 0 Mathcolo_5 Mathcolo_5 Integer 4 0 0 MathcolorS MathcolorS Integer 4 0 0 Mathcolo_6 Mathcolo_6 Integer 4 0 0 CCIcolorAL CCIcolorAL Integer 4 0 0 CCIcolorAA CCIcolorAA Integer 4 0 0 CCIcolorAI CCIcolorAI Integer 4 0 0 CCIcolorAS CCIcolorAS Integer 4 0 0 CCIcolorFI CCIcolorFI Integer 4 0 0 CCIcolorHI CCIcolorHI Integer 4 0 0 CCIcolorPI CCIcolorPI Integer 4 0 0 CCIcolorWH CCIcolorWH Integer 4 0 0 CCIcolorMR CCIcolorMR Integer 4 0 0 CCIcolorEL CCIcolorEL Integer 4 0 0 CCIcolorFO CCIcolorFO Integer 4 0 0 CCIcolorHO CCIcolorHO Integer 4 0 0 CCIcolorSE CCIcolorSE Integer 4 0 0 CCIcolorSW CCIcolorSW Integer 4 0 0 Absentcolo Absentcolo Integer 4 0 0 Absentco_1 Absentco_1 Integer 4 0 0 Absentco_2 Absentco_2 Integer 4 0 0 Absentco_3 Absentco_3 Integer 4 0 0 Absentco_4 Absentco_4 Integer 4 0 0 Absentco_5 Absentco_5 Integer 4 0 0 Absentco_6 Absentco_6 Integer 4 0 0 Absentco_7 Absentco_7 Integer 4 0 0 Absentco_8 Absentco_8 Integer 4 0 0 Absentco_9 Absentco_9 Integer 4 0 0 Absentc_10 Absentc_10 Integer 4 0 0 Absentc_11 Absentc_11 Integer 4 0 0 Absentc_12 Absentc_12 Integer 4 0 0 Absentc_13 Absentc_13 Integer 4 0 0 GradcolorA GradcolorA Integer 4 0 0 Gradcolo_1 Gradcolo_1 Integer 4 0 0 Gradcolo_2 Gradcolo_2 Integer 4 0 0 Gradcolo_3 Gradcolo_3 Integer 4 0 0 GradcolorF GradcolorF Integer 4 0 0 GradcolorH GradcolorH Integer 4 0 0 GradcolorP GradcolorP Integer 4 0 0 GradcolorW GradcolorW Integer 4 0 0 GradcolorM GradcolorM Integer 4 0 0 GradcolorE GradcolorE Integer 4 0 0 Gradcolo_4 Gradcolo_4 Integer 4 0 0 Gradcolo_5 Gradcolo_5 Integer 4 0 0 GradcolorS GradcolorS Integer 4 0 0 Gradcolo_6 Gradcolo_6 Integer 4 0 0 SuspcolorA SuspcolorA Integer 4 0 0 Suspcolo_1 Suspcolo_1 Integer 4 0 0 Suspcolo_2 Suspcolo_2 Integer 4 0 0 Suspcolo_3 Suspcolo_3 Integer 4 0 0 SuspcolorF SuspcolorF Integer 4 0 0 SuspcolorH SuspcolorH Integer 4 0 0 SuspcolorP SuspcolorP Integer 4 0 0 SuspcolorW SuspcolorW Integer 4 0 0 SuspcolorM SuspcolorM Integer 4 0 0 SuspcolorE SuspcolorE Integer 4 0 0 Suspcolo_4 Suspcolo_4 Integer 4 0 0 Suspcolo_5 Suspcolo_5 Integer 4 0 0 SuspcolorS SuspcolorS Integer 4 0 0 Suspcolo_6 Suspcolo_6 Integer 4 0 0 Shape_Le_1 Shape_Le_1 Double 8 0 0 avg30yF_61_90 avg30yF_61_90 Double 8 0 0 rcp85_mid_degF rcp85_mid_degF Double 8 0 0 rcp85_fut_degF rcp85_fut_degF 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. OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. 20230818 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDxnvTx TO9OFbs5h3elpBRUsQ6njpTAaeKzYC0oBJwBSUuagAHFBFJRQAU4U2igBxFKq5oVqdkdqQhdlS3I Mawx/wB1M/ief61a0e0+2XoJ+5GNze/pWxqenx3bqNwimAwuejA9AfSuapXUZ2a0W/kd9HCSnRck 9Xsu5y/BoxUk8ElvM0UgwynBqOuhNNXRwNOLs9wNJipSFK8cGou9AgGadSA07GRmgBucVpXmpx3m mQwvD/pMZx5vqvpWYaSluUm0OFLTaXNMRJswgbIPOMUlAqxtj+wFv+WhkwPpii4EHalGSeOvtTRx XXaVYJbWqM0atK43EkZx7VlVqclrK7Z0Yeh7Vtt2S3ZyrxOoBZSM9MjFMAxXoD6fFqOmyNKq5RsA jtXE3tp9ivXgLbtuOcVnTrc0uSSs9zWvhOSn7WDvG9vmV8GjkdqdkZAp2Bn1FbnERGlVd1SGMGkK N2pCFVCuaUClBJHPWgUgMWgUlLXeaDhS0g6UVLEOFPBpmaeKzYh1FJS1ICUuaKB64pAFFFFAB0py AswVRkk4AFNre8PWiq7X84/dx8RjH3mNZVans43NaFH21RR2XV9l1NGxgGlWASQgXExyR6DtSyh5 i0ZkYlefLz/D7e4qne3WZFbncDlmBzTorlXLStIu0fKTjBGfT14zXPGLit9Xueh7SMpWtolZLy/z 6k+pWC3+2aAgSgAMGONw9ayzoV7/AM8x/wB9CtBroNMfN7KWwrdvenSTGN5PNsZ1ERi8wq4JBk+5 gDrn26UoRqxVoPT0/wCCE1QrPnmte97X+VnqZh0W/Qf6hj9KibS7zJBtpM/St6bWktcxpDdyKrbW zG67eM85HXHOKvfbovK3ebKr/eMRt5N6r/eI28L79KJzxMbWSf3oIYfBS+OUl9z/AMjiHiaNyrKQ R1BoXHTmujvTatI7G2EhOTuWQBnIGTtHfjBqNbiyu/KH9lXDSeYYo0SIjc/Py56E4BPWtHWqJawZ isFCTdqit0vf8exgmP0FMZCO1bOl3UX2lBPZXCl8NG3kMdwIJA24ycjuKux2NpqdzIypNCrKHQMu 3epJG4e2QfyqamJ9nJ88XZdR0cunWgnTknJva+py+DSitPUdGnsP3g+eP+8o6fWs7l2ya3p1I1Fz Qd0cdahUoy5KisxRTy37vb75pnSnDpVGQld5oxM2n28uxXwoBz2rhK7XwlcD+y3U/wALEY/X+tc2 I0cZef5o9DA688PK/wBzX/BO6trfRJNEuP3ZjnILIFzknHWvHNTRk1OdWJJDHqa9ES5uIZMkhYyO QeCPbFcHruw6rIyHO4An61y0IKGJk+Zu/Tttsb4iEvql2rLmVvuZminjmo81IhNeieSSCpFQN1qM ZNWo1wmaQkV2QLwKaBxVgQyzFvKjd9oydqk4FPXTr50DLZXDKeQRE2D+lAWOXpaSgV3ljhTqZTql iFp2abTqzYDhTqatSDk4qWIdDBJcSBI1LMx4ArWj0VLbD38qxqP4FOWb2q/pVtHaWRuWKq8nCnP3 R61csLGGW4Mt8DPE442dR71xznUnJxjol956FKlTpwUprmk9bdF69zJP9nFiW05gg43Bzk1BLopn YyWEiPE3KoW+Ye1alwr2csq28DGFiApYZIFTaXaEzNKYwDjv2FZqMov3G/ndle0jP3asV8kl+S/M yofDF0SjTOip/Fg5IrYle3Hl28RC28PGR3atSSNvs20ELuPIHp61kTafIY3WOSNwOQQcVXLJtSm7 22Kc4Ri4U42T31vco31vFCXK8kjAHpVUQ7LaOM5MmN2M+v8A9bFaN2jLbRmRHZ4xgjGc1QjRriTI WTr8xx+lGplLRadTT0nWoLHw/f6abFHnu3wspPzADjH0qoH1BjbCa4g8tZQwBgzyHDc888qPwqMW jBR+4eQbuAvUetW3icWwG078c5ONvpThBU23D7TuyVqhv9n3mpT/AGpruMEY+7EcfdCd2z0Aq9Za dcQyGUX0XmYIBaA5HzM3ZvVz7dKdpokW1l3IckdfwGf1qeK4VQ+B8xB28g1tzSGuXqiS88MLHZWT xXaK0iYBkgO6MBApKndg5x3Bqr/Y0xkgia/iZftPnBjASQ3zcY3cKc8gYPNaxvd0CRSh2CAhd2cK M0sP2UywtFITN/EO4Ix/gawg6kI8s3dtvW33FqMZM53+wJ4b+a3juVuYyFVv3Bw6qgQcZz0A71v+ E/DmqNDeLatC8XlqjF0CkAMze/qfTiprDUJtKv3vYApbBU5GRgjrUttcSLODC0iQ3Pytg4pVXiJR lCDS0Vm9fW606CSSdzLkUyK0U6AxNlTXH6jZfYbx4gcr1U+1eg+JIrRNSij00yfZ1jBYMf4u5rmP EEG+yin2/MjbW/z9RXPRapzjOKcYz6PSz9DtrN4vCy59Z09U+rXVfLc5kigUGivTPBFrp9AWW205 3DFTKxCe3GP1rmK6nSNUWSwMTxeZJGMFc447H8K48YnKml0v/wAN+J6eVSUazl1tou/f8LmZv1mY vv8AOIbgjGBUH9myJ81y6QJ/tHk/QVuQakvkSs6kLEOXPc9hXNXNxJczmSVsk9PYUUOZycUkkuxe LjTjBTlKUpPa76Eu2yBxvmb/AGgAM08Ja7eJJBk90/8Ar1THNSfw11OPmeb7RfyotokBBCzjr3Ui r8Ng9wn7qRGA71jqcYqwlxJGMxyMh9jWc4zt7r1NKVSlzL2kdPI7jwrA2nR3rfI8pC5HI4z7EV1w sp3y2LfPqS/+NeV6VrlxZ3qSPcNtAOc859q3T4l1C4Jkg04eWehLEZ9+tOlXhTXLXWvfp+h2vnmr 4STS/l1v66X0PLKKKK9E80WnCmCnCpYh9LTQaf1rNgOWnr1qMEVYs0ae7iiQZZnAH51LEdnBp0n9 j29sSPMZd/HbPNX4ECIqFOAMDIqvf3zWF1GIdp/h+b0xiq8XiRQ7CSI5U4wBnjp/PFcdKzTfe56l W0ZKHZJfgby6fBdwzTRTrGY8cMetdBouk3VpYrra/Z5ViViUcZzjIzXGHVbe4IjBWMqfmB4Na6aj nTmtorvbE3bPT2rlxlCvVhyQlo2r6fZ6r5kRauclrEkNxeX7TWTRzyTSOXWIYUErtw2M9M45x61l rsEduJPtNxAiSnyy2Du8qQJgBeMNswf8jstTgh/sbzluTK5kUSIASdu4bv0FctNaSI9pczxzxxmQ YmghdYyPMGcHb1CdSBXfSnDlSWltNfL1M5LUQXSo8qxy6gzl2KuTxjLbcjb6BfzqeQsJYnllvzE7 AblwP41BY/L2UsdvtVS6nUCQQPdTSNvVWCuC6/Lt4x0HzU4XBjt1h865eICXKP5g2nZJ5fQcDd5f Oe/5a2QizpsKSTQOUka4kUGV3HP3RkYwMDdn+db0kCx5jKsr47cVJFfyXdlZyyhEdIlUnAyxxnkc c1LHHc3z5hieUoN2UUknHUcZ7Z/Kufm05p6fMpIzTh5CqHJycZ5zzUwElpcrkrlSpKYz6HBqRLQb 0URuJicgE4P4Zp19b/ZHCv5onYHcr4BAPGeDk9abs5KLfy6gTapetdBJxaweZsC/u1GBgYrmr6Q/ YUnSRvMZx50n2ra0RM20oI+42HOffOeMVtSQCFtwZ2UDOdhFOt1tlWaVvLYFcAHBJx/+zThGNKKj FaDs5XZkzfZBfeXBrci2YY7FYgkKHkGCM4bhV5P96rd7qct5o0zS6wogszGluqIqs6log3fhtrsc j+4fepGs43i8xbeMqpwSFHXp/SieJGtwjWyBR0IT9envVSjGUk2tUTZ23IJbwxQSRx6sFiivHijL Ro7bPMwpZurcc56YFF5DY/a2spfEa3FvIiMZIokxlpo4/wBMux9lFQKyJEjFEY8bhtHQ8/1NWUgt 0LGO3iVDllXy/wAD/T8jUVVGMG+W9tfmbYfmc1FStfT7zjUyUBJB7ZHf3pc1PMCZGAXkngAUeWlv zKA8nZOw+v8AhWlzzlC7v0GxxZXfIdkfr3P0pxuXXaISYlU5G08k+pNRSSNK25zn0HpTaXLfcfPy /Bp+Zdn1K5uYRFK4Kg5OBgt9ap04Lkc9aTbRGEYK0VYVSrOpLmm7sVetTpHJKwREJJ9BUKYEilvu 5GfpXd2jWFoiuRGq4yM4ANY166p2XVnVhMG8ReV9F21f9epzsXh+9lh37QG7KetUp7G6t2xJCw/C uqufEtnaLtjkEhzxs5NaNpd215b+ZNG43ruT5ec1gq1S/e/lb7jtlg8Pyvpbs0381/wTJ0Tw4jBJ 7oAk87T2roxbxJ8oQYFLEk8qLJ9nZIyu4MF42+1ZpmLsSZHXngYrWFL7UtX/AFsTKokuSnpH+tX3 Z5IKWkpa9ZnlC9qUdKSlFQwCnCkoqGApNdB4QiLa2ku0FYkZ+fpx+tc91Ndf4TjaK1vbodNoj/Pn +lYVpctNtG+HpqdWEO7Ra1PzJZCyR7+OOM4z1/pWMUmQu7KeBjp3zx/LP4V1lrGzGNFQuS2QoGSe 38hVyeCLZIslu6S4IG4YwfxrOEIxSijeo/aTc31OOjZZY3acYk454GKr8rcfunKgHgqcH9K6640m zunk2JtJbamT1A4/pWW/hxvNIiZlKN9Rnn/Cly2ehnyvcqQX93ECxk3bejY5PtVyXxFezwLDcSyy xIeE3cKfYVBNo93GGLEZYHHXvWabK5hGHiYqDklRnH5Umm3qth8zilY6TTdfFlLDK8QwnIR0yD+F TXusW+o3UlySke8khQuF6dhXPt/pKxQMyRsDgMSeKddWnlRx2zy+Zh8eYh+Vc0lGPPz212Fzuxsx vAApEgSP7yN71qafrF9Yic2pUbgV3EDocdOPes7w7aia5niOnNcjbCEfakjRqScny26p6kHIpuja RNd2+rM95iO1luY7eS2fKZjjLrxg8E4Ayee2adWnConGauilKxcR5vtdu7PtBYEFDgjmrN5rkaav BNcSiVoJVJE0mS4Bzj6cVi2fkyafbXEl3dfaGsoryT94NnzSlCoXHHAzV6f+zILLUWthLJLJqKRQ OYI5nIFvvIO/AA4JzWc4xlUtJX0f9XC+mhJrWpLrOrm7gtFgDqANnYetVGtx5SNubLH+8enHp9az dPtZo7bQLaGaf7bebxcHzgqIA7LtUYPPH+FX9VtItNudQE9zdvBZ6ZFeJGsm1y7yohUkjOBuPUZq 6VNUlGnDSK2/IfNo/MmjiIhDRzbWxkrjHWoZGCqijaCw67t2Ae3t/wDWpLm1uLU6rHaSXV6bK6a3 VYZEQxx7NwkkJGCO3aqmh6dHPe2Ufm3Re40mO5xCCR5nmEfMVBIGCeQD2zxW/MtyblhoQpBYBWA5 28VKDE0USqCuw7e+Wzwf0NUTbXn2C/nKzXdxa3UsDLbzpshVASHckYYHGO3T1qyLd00qPUhLMWMF vIk2R5U8kjhWhVeoZQSfUbTmlOSSLp6ySMvWmEJieNESSRcllGDisIjOa1tfuvPvfLCbRF8v1rK6 CssJFqjG5GZzU8TPl2X9P8Rgp4GTim9DS1ucI5vlYjOcelJmkoFMCReaGx0xyO+aF4rR0mBZdQV3 GY41LnP6frWdSfJFy7GtCk6tSNNdSePRYNsU5uC8ZwxAXr7V1mn2809vEdoj4J2E/kKykj2A+WgG 45KZwD9PStex1KJ22MoEijG1uCue/wD9evOp1ff/AHr18z3qmGXJ+4S5Xva+/wA/y/4cvJezQWiW sjELESY264z2+lRsY5sMyozY5JUVHuN0XSNge+D3qBWdAVAzzXdueeeQiloFLXonnhS0lLUsApe1 JQazY0OjRpJAiKzMeyjJrtdFkgttAG6VFkeUsylsEBcdvwNclptwbS8EwDMNpQhWAPP1BrpW0ueC a3nFhCXd0lUGXjZ5nmYPHXGV+lY1YqSSb6r/ADOnDvllzJXaT/HS/wCJ2ehtHauNUintmFrtwjOB u464/Oq+s+Ire8uZ5XuYhM+ZNqnIUL839Kx9I8Palqcq2xtrTzZJEbc8uASigEHC9yCfxqXXPB+r 2l0LaaO2j84PNtjkzszGU5wo7qD+NcV8PHFe/Je0a078v/Dml5cuxqWV14fMbLd6j9lKriNGQguR 2qtFe6eGEX2xEkPzH5hggVh3elXzzSy/Z0YSzySlZZ9xBY5wPl4HakutO1FpGeK0iiRmZgpfIRmh aPd93HBIauqNO0m+a6fTsTd9jdj12zjgkuEmhuISMbnPI/Dimm5S6aN2RDGecKOvv6dzWBBpd/FB FIltErRlTlZR82FVe69flJH1roLR5rfQLa3ZI1aEbmweScH/ABqXFQleCvd6ju3owvbSwkt/O3gs SB5RXP41mi2hEhRAqjH3SMZqvqd8y25VMYY8t3yO355rMt764e6hLZYZHLeg7U0mr3dyW0dDd2IZ E+2QKY+TGJYxnafSs/W2F3a21jHp9sDH8xnEQ3kYwFz6CtnVtbm1WOE3BjJgiES7FxWXKbiQZCkf LjgGs4RnOEZVFaS7MbsTpo40/wAiV9OjjlZFkUmMdCOoq9aJHBcvctDGWlQo7BAXwc5wxHHHGaI7 q8v5IEmudzhQke9gMAcY/SkucW90YJJUdsAsqnORyT/SnB837urbm7B6FQ2NiXkRbaMeY3zblHXJ /wDrU6bRdPWNJFsrcgcE7Bz/AJ6/hWhNbpJZ+eJkR48BwTjNQfZJYwvJDH7qkHnjOR25wfStVNNu 3Qqyat1I4tPso3UtYWzhR8odRgfSlj0TT3jPm2cIl3byuwZYd8f571bsWJuRGYRI+MBRTJ/MN4VY H5Vxj8Rx9OaiXLdyf9fIuMHpFdSs1rabYiLSD92cRuYwSuBwKjSC0hn+1yxQpK2cPtAP1zWsumg2 jXDOARjCdc1UvreO5SS1DKG2/l71xYyrKVNJ6JvXuepl9KEasnH3pRV12v8A11OIvJRPeyyDozEj 6VATUsyCKaRM52sVz64qGvTgkopLY+ZqOTm3Le43vTqaeKUUEi4OM9qUUbjtC54HNC9aYD84xXR6 FaLLbtucR+Y33j6L/wDXrnAMtXVGGSztbaPZj92H3D3rlxDvyx8/y/4NjvwMbOU+yt9+n5XNk6fM PJaNlmVBtypqnc2haYrIrI6/dccEfQ1Ppc8rWzAAkg7sD06VohfJVVZiVz0IySfSs5U4zVmdUKsq crxMOPUJdPfF0gaM8CVR/Mdq0BeI6hoZBsI4wa0p7K0SNTPEAsg5GcYrmLjw3BJcOYLh4o88KG4r FKdLRPT0v/X5eh0ynTrata+tvx2fz182ecilpKM17zPAFpaSnCokMO1IaU0lZjRb0+Bri5jjQEsz ADFeh3O1b1Ywd6xqB+Q/+ua47wsuddtDjIDZP4CuxiX7RfuTwD0/PP8AKuees0vV/p+p04fSE5d7 L9f0NRYmNsFBIOMbgec+taeheIJYbu7kvS9xKYfJjZyDt+vtwDWQ8VzYxkOHQEbl3KRkeopluZI9 zRxqyscc9eBiuevhqOKg1NXX9dfkaJtMdeW7SyxRx4JkbH61r3eg3uk2nmXagxNxlWyBxWRHcql8 rvH8qfeHp610XiLxNa6vp9rFaeZGqsS4lXbzjj696wxNXEwxFKFKN4O/M7bdtRxSe5y1ywt4CSdq jkms+4uV+zGTHHsOtdno3huPX7C5cyAvGAqAj5Scd68+uWnF5LbSIymJ9hx0GK1pYqlUqypRfvRt deopX3ItPsf7aZbEny2iJaQt3wecfnVhbH7LfSxIGAjGFI6MfUmtLQ9FutTuWitm2Xi7SmWwCO+a fr8d7pd5PDfqI5pMcjBDcdqp1o+2dPmV7Xt19SVHS5W0zT7vU0nkS3kfyF3SMvIWtDR0sEuy+pbx B5TH92M/N2FZumave6ZbXdvbNtW7AEnv9K1tQudKGl2C2EMq3Kxn7QWH3jjP49DWc5VnJ05rSWic d1pu+2uxWm6MgtpUWorJq1v51lJFJEx8vcVzwCPQ45zVEtol7r4mjsHjt2kBZII2jwnkbf4efv8A OO9WQD9qh3IwVY3UEwtKqPt4JUAnr7VFAumvrKyPaXixLNO0rRRSIAhjiCMAoOBuEnHbvivQg9DJ rUikgsZoFV1vJXjupC4YOwaHnYSpOB27E+9KGtobWCVE1CTy4XLL5soBcR/JuwePn3fdwMUwW0k1 gfsunX0s6wvGzLFINzGQkM5HH3PepFktILywIt7lrNL9XuoZY5MmDzSTgdNu3sec0KabsnsI19Ek RruR42LQLLIYDOTuMW47cnr09a0L24+0xJMsKZVtmVPvx+o/WneEdX0u30/T7fUdOOIY3R2253Hc cEg4OMYxmpvEGnRWf2fUreVPsl3MWSIHlUHPIrz4Yz9/7KpBxvs+j37eSuby1V0Q2QbVZ4bdkSFG IIY8DGOprn/ETpY3SzW7MJVYorD7rLW2FeNFEZfAjA5PfHNctrlrNFCsjTvIu4/KR0orSjKvCm9v z8jspRlDCVK0dXp8rNa9/QwXYsxYnJJyabRSV6J4Ah60opO9KKGAtKB3pKWkBIhwwPpXRpq9tdLE kqmJlG0kDIaudi5p5GR71jUpKeuzOihiZUbpJNPoz0fT2tEby4vldhjnvWhFlXClc/NzmvNNP1e6 t7yFXkJj3Ac9q7b7Zi6zCG+cjJZuv0rBSlGXJPf8z0LRqQ9pSvbrfodDqEAuIx5kbbDxla5ya0ij mZdzce9VIPiSlvNJaTWzPaLJ8rKeSK24fFXh67iEqgjsQU5zWri0YKcWeJCiiivTZwjhS0gpazkM Q0DrS0L1qGM6fwiRHfSzFM7IWwfQnjNasepm2vN6wnYGGSpyPxqh4a3paXLKoO/C1YnjMUjb1wR0 QHr9fauZv3nY6Ie7SV+uv6Hba/4gXXLaCVYxEETaqg5HufpxXNyaotlKsAJAK5B6j6U+BwbRHjOY 1ADHPChjwK0INHXVnIs7SWURgeYVXd1rKFOjhKKhH3Yrv/mzS7lqV9D16wW6uPtkSyZXChmxk+vF AuEkuTuG1fvfKep/ziuu8I+F7NLXVTcaRHcXEbwiNJoCTg7s8f1qr450tbLS9Pnt7CDTrgTyBmVN gZAoOMex/lWkKSd6sXe9uunyFz2djnUvJIJcWc8sAP3mjYrx+FU9Zextv31oWdcYJyck+9V5bx3X hQinjdjrTFOI3zIR8vGfXkCpdOPPz3swuaujavLpdyLq1G1mXaPauj1XQrvxRaDXLiaLzIYGIjXg YXn8+a43wpb3+sa3/Z6bC2DlpB93HerGq3+qafbzafDdOEJ2Ptb5WAPT6GvPxVBVMQpYdpVVa91r yji9NdijcJLGxEa5IA+TrwT7Vp6WLaOb/TlZoiPlUE+vNZ2m5ltWmkZgxxjNX7DTr/UtMuNQUL9n tnw7E4Pbp69a7q04cnvy5b6dt9hJakcsg3OYwwjZvkye3Xn8Ku6PqMun2N4ERWW4QISw7ctj9ap3 AZECbhlu69qCfNCoqjOM1pOlCpDlnqv8gvZl231q7t9Ml02LAjkbcWXO4/jUZvIWhhDWihoSS7Z5 fIzz9CP1qSGMW1nHfR3MQnjk4hIycfj1H41Vkc3c0spl2y9Wj8vAOenOTxnn6VjCFNzbhG2t77Xe 3z0KV29SSGxujps94Ij9nQ4MgHANNtEinS3bLGZBiQMOMk9P++Q1W7aee2g/s2e7eKxcBmRkwWPr T7ZIbWZZY3BRwzoxHDEAhf8A2atKKq3lz2t0t28/MJNPUfAWkikZ1BkJC8+3cfhXK+JLxFU2cecl gxPtXVeTceVujHzqNx+n/wCquB1hi+pzMTnBxmsnapiFBrbX/I6Jt0cHKcXrL3fRbv8AQzaTFKaO 1dx4o0jNKKAxXd7jFApMBadkbcY59abS0wHodoqUNkZqDtTkPFICUjKE8YHaprfVrm0AWFsp/dbk VXDEHimMqkZyFJ7GolCM1aSuaU6s6b5oOzNMaImomKa0XYJDh4x/Cfb2rs9J8NRaZYiCXZLIW3s2 PXHFcTpmtXGnyIpO+Jeg9PpXXQ+JoZYg3mxA9w5wa5XOVP3Z7dHuenCFOvadO3N1W2vdHlNKKBTh 0r12zywopcUhrNgFKgywpKkiHNQx9DuNHVY/DiMgwdxZvfFUHuQzyOw2ktwB0A9K0Zw8ej2iQp5W IuQO/HWsu5UC4kX0PJ9T61wwd+Z+f/A/Q7cWuWEI9kvx1/UWTzIGLIChYc4OCRXX/DfWH0/XDaGQ LBPjIY4Gcjv+v4VxTO7fK7cKOtbOkWiPaNJ84k3AggdB2P8AP86xxOHjiaMqM9mjnpNqSseieLJL HWbrzICrSWiMJSV7A+veuP0htPTVTLfQLJb4I25wf/1521FJLc2vmo05BlXMigYB9BVdIfMhYHKs en9anD4OFHDLDRbsla/XU6276l7VPD8+nwQXzxFYLj5ohnPHXn8KyQRJL0K4PHHHb/69ak2oT3dj DDcTs6wKQiueBVGOIuxGDhR19+tdFGNSMP3tr+XroR10IIZLq0uBIk8kcpYjzIzggfWkvlupiXDF lAByehOc8/pWvbDT3d0vi6MqnZ5fzHOPSqDxHYWjl8xM8gHP5itIyXM9Ne4Wb2KkVu6W0UZf7oAx n25qwl2ySvBbOywSYEiAnBI71ctzZfY1XhbnceSwbA7YH/16q7fNf5R16nj9MUK090Nxa6GtfT2k 1hbJZQFpRGBM+D16k1myMfI4PXjAOM1et9UbTdOutPW3ic3KYEjdUx6Va8KwaXcX8i6u6JCsTEFm wN3Hf8655VHQpTcotqPzb6/8ASWphJdPGrgKzN0UH1rd8P2cjK88q75O31Pf8hj8TWYGhiuTccG3 RuN3fvV8aq80rtbkxRqAkp2lSAemQenQ/XFdSXUpvlXqaWvTpJCiBg2xdpAUdKzZI5raxjZPLZZT uUgDII6D25wPxq6Z7VY0WFiTklnOMMPU1k6dqsSXQn82OeGN2GTwAcf5P0A9KUo89rNqxUKnJe6T v3J5ry6+yeXsbAGPlHXHrXK65MJEjQriTqflwce9d5pU0d0zxSOodMkDPBrnfFGiStHPcgqDAgYq OcqT/SuelGVKaUne/Xqb4mUcRRk4Ll5dbdN0mcRRRRXeeEIRSA0400DLYoY0OopB1pRQA7GRQvBp VNLSATPNPADCoyMNT1agQhj28jiomZi3IXNWcgioWxmmhpmVThSDrTq6GWFFJS1mxhjkVZiXlcdc 1XxzmrFqT5y/UVDFLY7ua4kht4VdA7+SAc9uKy7u7jlYxGMK+8gSA9eeK1r63FxNG6TxllTeybtu MfXrWFeadc2rjzYpACMk7TxXnUakVHV7t/mepjIVObRXSS/JIjjj82dACRu4PFdDb/uoQY5AAo+7 jr7VixMySNMg5VNwK9cnjP8AOrKXDBugPHfgn8a6LJLc4oWjubF5cvfiIygZXCnjtUv2Fgo2Mw+o qlbzLKBIuSobk7en1rsxr+nf8I4bAW3+kDIEmAcc5J9RWNapUp8qhDmu0n5LudVrpNnLJHsR/Mi3 bjjcvFNTPlsqcMx4yeCeuP6VaubaewgR7kPGs3Me5cBvoe9RPcLCgyFJx0HvXRCcZK61Is7mbMVQ qiRBiBtBIyT9auw267PNl2jjIAOTWz4Wjs7fUUfVI0NvKMBn4APqf1p3iR9OvNQ2aREkcUSkO68B j/n/AD6cixLWKVDkdrX5uhctFoyBdFluoFfTcTbV3yKg+7WP9nZ5WDgo3Ru/8/8APNa+iapf6e8q WIYyMpVgq7hx3/CqNzfQ6fiSUtvfk4GeTWlH20ZyhUacenf5/oR5oQ6WTbG7TadnGSu01FHbDO95 AD1H8WP5Vp2mryzaeYYyZLeQ5Ybea0ntNObULGFbhfs8ioZSeNhJ559qalKKlKey2t2/zL5mcpfw MAEt8yMXR8NgbiGHesmSe3iuxcXVnDNHGhiMThcN+8LHAyRnkjIOevHNd74mstOs9RsxY3Amz98h wcc1xU+nXv2tx9nMyx+XuVpl8sqkiyEr/tELjt941eExEa9NVI3SffRiqp6MxLO3huILIraW7u0I R1bC75COCM9hhT7kmpkjVbOaxXT7E3qMmZGCnldn5co3A67jmrkGmXkVrahdMUNFD5UoEg/eEFTx +RH41Wm027tlHn28RnmRsPFKpPLu2CMcDDqPX5a6HOztcxt5G3ocMDzPe2ljHapDH5Y2ODv5GCSO +APxzV59btXkkiuXwroYmz0waztPhuxaTmRPJaXaAAc8hAueO2Qawru2mgujbyZL54A71xz/AHla zdrWt5nZzujh04xvzXTfa+yKU6os7qhyoYgH1FR06RWSRldSrA4IPam12rXY8ZqzswppxTqdbwtc 3KQKQC5xk9BQAwUtBAV2UEEAkZHeii4CqcGpMZ5qMdKeppAFNJxTyMU1hxQIQOaQgE5pKTNUBnCn Ug6UprZmglBpcUHpWbGKKsWK77tF9WAquPSremgm/hC9d4/nUSdlcaV3Y6zUz+9lUA5VQM+2aoxX 91bRmOK5cK+MjORxWmSZL+4AAGOct0OKkaNMYaFSD3x/jiuKlT5qUU+x6GJv9YnKDtq/zJLSR72E NNawtvk52DYT27U/UdDTTpUFys9kZM/6xdy47YI5qWOG4sEt7tf9WWymMAZBH1qxq/iy51mRIr8I Uib5Qoxn1GRWVWnVVWKhbl66/dZbB7VONpq78/8APcybWzYZKuswcEjY2MAevpU8QkhI35VeD0P+ fTmp9NsZ57hLe2QE7tqAnqf8+9W9Qa4spZbW5UCVcKyjkj8e361qpPmUItXtfzt3NU6UdHdfiiO/ 1S5vLaCCeZpIrcYjDYwvb8aqw2U93ICyjyx3PFWERJiS0W07h93pgdeK6Xw9pkd1NO83lyqgHEsu wDPQ5/Os6tanhKLk42S6Ky3f3akuF9YNff8A5mBOryoIyd+3svQVEjKIvJ2/OeMY6itO5UWxkCr9 1mA25KnB7HuKJdFurjQDq6GNYgQPvfMQTg/rWzxNKMYuUkk2kvV7IycJLdFawuxp0hMFwiy9GI6g d6j+IKaLLb6e9htS6fiVd/GAODj1zWJa6cJdUiiuLgRxyuFLk8AH1q3418Kw6DdiO1uDco6Bsnlk rhrKn9dppyalZuy2a8/ToJX5GYUd1dWpKB2MbHJOa9H8J6fY6jDJc3120e1VVQWHQ1h+CfCFvqtp O086hkIbJbBUeoHetSC8trTTZtPFlCzxuVS76F1zwSPWoxVeVZyw2HbU01dq2ifXX/hxxVtWZ+q/ ZrPXykTmaCN8BvUVIkX9oSLHbsA5YlmxjH+f8PesuaISXRVW+Ukcjnqa02iW0vgNKd58LyQvfHP5 Z616MGqaUZu7tv6W1fQJXsi7qNlaWxEKSfNgBfm+79aoHQfPsTIkoJALD5uOtEsm6CQGFwVPzE8n PvVBNTUPFDC4PmZzg9B15rKpiuSTja6tc66WEVSmp8yTbtr8rfmEVxNv8tiVkBAUY4xV5dNIYNd4 Eh5RiOn41aNpH9nVZmBYcgr1HpSXCT2UyiYsytHhd46Z70puEqalVRVJVYVnDDu7/O3qcd4h0l0m M0MPQZkI7+9c5Xdanc+RFJO7FsrtC9ia4d2yxIFa4Kd4uKd4rZ/12OPNaajUU2uWUtWv1+Y2mdDk GpAo2MxbBHQetRnrXYeWOFLSDpS0gHLS5waaOlFICQHNDCkUj8af1oAhYUzNTMKhIGapCKApe9Ap cVqzQBQKWjtUMAxWt4ejV9WhDgkZJH1AzWUK3/DEe7UC+DhEJz+n9awxDtSk/JnRhVzYiEfNfmdF HH/pcpPIJ6f5+lXdLtodQ1iGxlm8hXbBkfoOM4qTS5be11S2muFZoA2XA6/55qhrOoyX8smpIYTI IoZmtY4SmxJGEaYcsQx3Fcggdc9q5X7Rv2UFZcvxdn6fibylq5PqzofGOiXGlWkcNm8lzCnz/KM7 Ae+BXC2kTy3cRI3fOD0rpYPEHiTSZ5YPKUPhIvKlOWcMrMME+yngisdXlS7cyRC0eASzzlxv2Ki/ McAjJycY4578Vnh6eKUeWu07bPv8uhm1FzUjZMN7pwjklSWJ8AqemO/51SmuJmeS5l3SF/4nOST7 mr1/4z1XxDb/AGaGGxSziG1ZnidN2I/MzgnI44x09zWdp9hqXiHUrO3YJZW8sZkWdnDLtCqxYe37 xfxOKqFWcaLq4mKg1vrfT+uhd03oyv8A2p5UZ88Mrg4UA9avWWoNHCsqyEO2Q235c1S8QaEuj6ui fblvECZVgm3B78Vn3wEf2eIMUwu7eOqk/wBKHUjiIQs9JfI3ov2anNpOy6+p2uleINOstIuhcRsL 55MoV/iGOhNZK6vLcQGNlBhAI25wB78Hk1yVzcSpNtk6r17596mSVlyYyc8ED9amng6dJylFavv0 9CViZyk7vfc3Hu9MuZsJLIrFABv+63rzxV5Ut3ba0yGJcJncCM496wJGmmishLY71gEb48wDOI9n GBz680Wlg15dmRbBLfbdNL+9JC+UOVQNjBJLE5HZQOK6owShdSv+I6lVOfvQt5LQ6vTdSsoNQbyD G7QDDISNpHpio7vUIJTIFEauxyFB4UGuem0zUYVZf7NjNt9oZ1ZZgQMkEjOPaorTTrqS8hkNjE0S O7srS4MpaIIvIHBDbnx0qowpuXtE9XoZTU4uzVjUvBOluXXGTggj26c+lReH/Et7oOsFyiOsgIKO M54p8ULRQyJJKqgSFhDnIUEngHHOKja2WeZLnCP5ZyMEcCsa7pSThV2empvGhUmlyK/ob730twHS QqqStvGOAPaufvoRZ3iXcZBQMN+O1aVxPE9qCobHU4HX6VzmoXNw+I2jMURGVQ9/c1nyqUowj6P0 7FSfsqLlPvdeq2fkvzOst9UW7jIBRhgAMOvHY0+8vJLqRd7lgoAXP0riLO7e1nEg5Xoy561vPqEV xaNMZDGFGCR1U9j71jio1I0/Z7p9Tqy2vQqVfavRq7t/lfp+XoYGqXUjXEsRlkaMMcKxrMp0jl3L Ficnqe9Nr1KUFCCij5+tVdWo5vqFRnrT26U+2tzcOR5sce0ZJdsCqMkMFLSHgkZBweooFADqWkop DAdalzUZqRTxQJjWqI9amaoyOaaEZtOFFFbM0FpRRRUAOA5rqPDUTC2upFXLEYFFFcuKf7v5r80d WB/j37KT+6LNWP5YAFPfk1uWnhWbUNHR01K/W3t9skYR/liZSSjcYJweRnOKKK83NcTUw+HjKm7O 6/M1ik3qMXwHq1xawaxDqPnvEVn2ysSAUyVBUbemexrDt4JPOEz3EwukZnM0TbXDNnd+B3NkelFF ZZRj62KnVhV+w7L8S3BJXRcttF/tCQxJNdi7ml3G4a4JLHG0naRjOOOuMdq2r3wfeeHdKtpZtSTz 4IxbWscYK7Y8lj3POTz26ccCiis8ZjK0MxpYaL9yWr6/n0FGC5bnFzTyXV75crs0xbaxc5JqLUHW SSV+cKcY+nFFFepZKrZdEN6Yf1f5L/gleKSGeMLN1ThWxnI9CKZFMpmeNQob+DA5Pt+NFFdF76HP E0tLknnkaCQ5KjgdNntXeeFtT0K2t5l1a3DTISyyONytx93Hr160UV5+Y0VOi4JtLydj0cLH20rT OfuNVN/HMyxCO0SRmSMHoD2qfRpI2KSsT5m75VFFFb01ytwWyt+RNXWMZ9Xf82M8RxpBcEqCCYs4 9Ca44MwBGSM8HnrRRW9PWTOHGtqMLeZJb3U1o26FsA9RReX0l7s8zA25xiiir9lDm57a9zmWIq+y 9lzPl7dCozYqtJKzDbnj0oorVGIyloopsY1qbRRSQDhS4oopgOoFFFSMcelKpoooBjjzTCOaKKaJ P//Z