20211019 07000300 1.0 FALSE CityOwnedProperty 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Texas_Central_FIPS_4203_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_Texas_Central_FIPS_4203_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,2296583.333333333],PARAMETER[&quot;False_Northing&quot;,9842500.0],PARAMETER[&quot;Central_Meridian&quot;,-100.3333333333333],PARAMETER[&quot;Standard_Parallel_1&quot;,30.11666666666667],PARAMETER[&quot;Standard_Parallel_2&quot;,31.88333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,29.66666666666667],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2277]]</WKT><XOrigin>-124805500</XOrigin><YOrigin>-81923100</YOrigin><XYScale>3048.0060960121928</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><WKID>102739</WKID><LatestWKID>2277</LatestWKID></ProjectedCoordinateSystem> 20211112 15422500 20211112 15422500 Esri ArcGIS 12.8.3.29751 CityOwnedProperty CityOwnedProperty City Owned Property File Geodatabase Feature Class dataset EPSG 5.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE CityOwnedProperty 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. UPDATE_ID UPDATE_ID Integer 4 0 0 POLYID POLYID Integer 4 0 0 PROP_ID PROP_ID Integer 4 0 0 EXT EXT String 3 0 0 PIN PIN String 15 0 0 GEO_ID GEO_ID String 50 0 0 ABST_CODE ABST_CODE String 10 0 0 POLY_AC POLY_AC Double 8 0 0 BLOCK_NUM BLOCK_NUM String 4 0 0 LOT_TRACT_NUM LOT_TRACT_NUM String 4 0 0 GRANTEE_DOC GRANTEE_DOC String 70 0 0 DEED_TYPE_CD DEED_TYPE_CD String 10 0 0 CURRENT_DOC CURRENT_DOC String 25 0 0 DATE_DOC DATE_DOC Date 8 0 0 TILE TILE SmallInteger 2 0 0 MAP MAP String 20 0 0 MAPSCO MAPSCO String 3 0 0 REF_1 REF_1 String 60 0 0 REF_2 REF_2 String 20 0 0 REF_ID2 REF_ID2 String 50 0 0 EDIT_DT EDIT_DT Date 8 0 0 CITY_CD CITY_CD String 6 0 0 CNTY_CD CNTY_CD String 6 0 0 WATER_DIST_CD WATER_DIST_CD String 6 0 0 EXPT_CD EXPT_CD String 8 0 0 GRID_ID GRID_ID String 6 0 0 ROTATION ROTATION SmallInteger 2 0 0 DEED_CD DEED_CD String 10 0 0 SCHOOL_CD SCHOOL_CD String 6 0 0 LAND_GRANT_CD LAND_GRANT_CD String 10 0 0 ZIP_CD ZIP_CD String 5 0 0 ZIP_CITY ZIP_CITY String 40 0 0 LOG_CD LOG_CD String 10 0 0 file_as_name file_as_name String 70 0 0 pct_ownership pct_ownership Double 8 0 0 first_name first_name String 30 0 0 last_name last_name String 30 0 0 dba_name dba_name String 50 0 0 addr_line1 addr_line1 String 60 0 0 addr_line2 addr_line2 String 60 0 0 addr_line3 addr_line3 String 60 0 0 addr_city addr_city String 50 0 0 addr_state addr_state String 50 0 0 addr_zip addr_zip String 10 0 0 deed_type_cd_1 deed_type_cd_1 String 10 0 0 deed_num deed_num String 50 0 0 deed_book_id deed_book_id String 20 0 0 deed_book_page deed_book_page String 20 0 0 deed_dt deed_dt Date 8 0 0 updt_dt updt_dt Date 8 0 0 abs_subdv abs_subdv String 10 0 0 abs_subdv_desc abs_subdv_desc String 60 0 0 abs_subdv_ind abs_subdv_ind String 1 0 0 tract_or_lot tract_or_lot String 50 0 0 block block String 50 0 0 legal_acreage legal_acreage Double 8 0 0 legal_desc legal_desc String 255 0 0 legal_desc_2 legal_desc_2 String 255 0 0 eff_size_acres eff_size_acres Double 8 0 0 map_id map_id String 20 0 0 ref_id2_1 ref_id2_1 String 50 0 0 utilities utilities String 50 0 0 topography topography String 50 0 0 road_access road_access String 50 0 0 zoning zoning String 50 0 0 rgn_cd rgn_cd String 5 0 0 hood_cd hood_cd String 10 0 0 hood_name hood_name String 50 0 0 state_cd state_cd String 10 0 0 subset_cd subset_cd String 5 0 0 ls_table ls_table String 25 0 0 land_total_sqft land_total_sqft Double 8 0 0 land_unit_price land_unit_price Double 8 0 0 primary_situs primary_situs String 1 0 0 situs_num situs_num String 15 0 0 situs_street_prefx situs_street_prefx String 10 0 0 situs_street situs_street String 50 0 0 situs_street_sufix situs_street_sufix String 10 0 0 situs_city situs_city String 30 0 0 situs_state situs_state String 2 0 0 situs_zip situs_zip String 10 0 0 situs_display situs_display String 141 0 0 bldg_permit_type_cd bldg_permit_type_cd String 10 0 0 bld_permit_desc bld_permit_desc String 50 0 0 bldg_permit_issued_to bldg_permit_issued_to String 255 0 0 bldg_permit_issue_dt bldg_permit_issue_dt Date 8 0 0 prop_type_cd prop_type_cd String 5 0 0 sl_price sl_price Double 8 0 0 sl_dt sl_dt Date 8 0 0 prop_cmnt prop_cmnt String 1073741822 0 0 sl_comment sl_comment String 1073741822 0 0 appraised_val appraised_val Double 8 0 0 assessed_val assessed_val Double 8 0 0 market market Double 8 0 0 ref_id1 ref_id1 String 50 0 0 shared_cad_code shared_cad_code String 5 0 0 shared_prop_id shared_prop_id String 30 0 0 consideration consideration String 20 0 0 MCADPropertyURL MCADPropertyURL String 150 0 0 Description Description String 80 0 0 RealClassification RealClassification String 30 0 0 PropID PropID String 20 0 0 Address Address String 80 0 0 prop_val_yr prop_val_yr 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. 20211112 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKRmCqWY4AGTQAtVdRv4dMsJby43eVEAW2jJ646fjVD/AISvQyuR fqR/uN/hWL4l8TaPqHh+8tbW93zvtCqI3GSGBPJGOlS5IC3/AMJ7o2MgXP8A37H+Nc94p8SWGv2c NvarKXjcuwdQOMY9a5RAWbbkZxtzjj8BUUqtDcgiQqzA5GOtZ8zeggSUkhSxXn1zTrgqQxQt1yce uc5FRlcSodygMcZPU+n9am2JGrlHCHGMt3qXpqLYWBg+x5V25GTioby8BuZJoIhsXAUEenFSQxxv E4Y5cKcE8ZqvMCnA5B7DuaFuC8hq3ElyrF8KRhgoGO//AOupBtVT5n12g8A1KrQCGI4Kuf4ccE+l KIgSANvByPeqAjSUNnyl+Vex6mpwqxAOSFLDJwelCI/zHICg/wAPeo1hkebzclkAIHNS9QepYeVm EZJONoDY9PXH51Xjj+d2LZXqD681Pjd8udp2g+nQf5/OnLGAhlZiQB09c01dAk7kNzK+R5ceQ3Q+ lN2tFFHKFLFzwT2p8UnmKYtoOeBz37U1Y5Dly4CocbcZzVDdwji+Ztr/ADgbj9akCSwebCrcNgtj nioIhJExDHcwYgHvirCOHVt54B4A6nPrRIUtSONYocyhSpwVIPGac9w6hivpye9Oli/dnI5X5h9a r7w83Ygrnr+lJD2JWkaQ7IVOzuT1NTrq2p28YQajdDbwAJWwB6VXR2gH3cjqMc/jUUofnIwSc474 96foB7wv3R9KWo4CTbxE9Sgz+VSVqMKKKKACiiigAooooAKKKKACiiigAoopCwBwSPzoAhe+tI3K PdQK46q0gBFU7vWNLFtKp1KzDFGABnXJ4+teW+JY4z4kvz95jOTwaypPmXLfTpWfOK420uiQkUr4 6Y4zn29qeWaOcSrCCWzhSen0H41nxwyJdfKSRkk5J6GtJ0BQZbLFvukcVDsIck8Uq7tw3dhjnI64 qISpMAExgADnOc9qzb6KS3nR3+Qk4xnpWksabsbmfHXPHNFkgB4jnIc9OfSm2mJkeNtpK+oz/nrU 6Ku0bgQvc00W32a4MsMZK/7RxzR0sAnlmEEZUHoOOlNRWfPmAAAc4HJP9ajd5Jmkd414P0/KlluJ IoflAO4+vNCQltceJQHwxQdlzx/+qpQH3YPzqejCqElq0j4ZgrYDZHI5qYboZEVWdo9uOO5p2KTL YQxvuGdvTiowZg5ZTyrdW7ikEieaFf5TnIBNKszMzEDcwGc4x/8AqpWsBOQt0FDxCMsisSDn2P8A n2qMfMGUDagPGafJMZlifLA7MbgOnOMH8KdIDGZAHORg/h3pi8xkaiCc5x8w+Vgf0prv5ysI8gHr nv71WTe1ypRSw7gjoathg0qoWHuQOlO4XGmIquQMlRg0yJ/vuTkHgqO9XZIGkQzAkAcMB161R8lg 4xgEnJ56UbjaHzTN9jbGMs2c4qGKN41yAGZfXpQwJBQ5wM1PEuxQ2cgcD6e9HQCv5siYZXfOPYce lOVpA27cxB5Oamjjg81W6t2GKkVCWZmUkZ+mDQmKNzXXxTrKiMDUXCYwPlX/AAr1dCTGpPUgV4gX jDBA4L9dvpW//wAJZr2zb9tXpjAiTIP5VSdtyz1KivM9I8U6xc6xZwTXZMcs6oy7F6ZAI6V6ZVJ3 EFFFFMAooooAKKKKACiuL+I95e2emWbWN3NbO0xDNFIVJGOnFecyeItbjRf+JxqG7+LNw3+NJuwr nU/EeWaHxNbNFKQDaKCvr871y8Wony95lJYZOc8Y/wAKzbu+vNUnWS7uZriVRsBlcsQM9KmS2Mca ndzjBHbNZu3UVy1cy+bkx5LDlseneq3mSTIdrngevP4VAWuUf5V4x0A4pGjikTck3ltjJBzz7UrC eo+1mAnkDPuTOQOvNaEM6mbJyHA3DPYf5x+dUYrB4kaWR2kYfdKGi03LM5eNgMZGR1oeo7klzt1G 4/esyqo4PqausoIDoj7+jbRyRU3yPFjYAD6iiWMLGqZIGOAOmam9xrUZcs8EYBiJDDpnpSJLK0Lx 7ckAE+wx1PvRc3DSOwRA2QBkrjaP8jNRRITMzMSQeAcYJ+lO2gSQS7JYQ/3GBwR2b3rMZld8ggAA luOn/wCutGaIRSBUDbG46ZNMRUIMceNrA847+lUtAK9vJPhgkZJxz2wPXmr3zKpKfKRyN3OaqSFI QxcfvD91h6fSrUVy08SEsNmOw/Oh90LYkkgV1GAu7qrH1x60xGGDuxuH3sHPSmgRksxbKd8jAWlI RozsPC9Me1AyZpHMMO/Kqcr6Y5p0DImQQPrjqKNpNtEr88k89u+PrTTs2YbJUjKMRgj/ADik30C+ o7z/AC5mc5ABP3RnPFRykblkj+VieSR71PaCMJvf5tpyRjpSlVeKRgCNy7eRSDUZ84jO8k5HPPem zrjacMO+c9aXy3jjHmsdoFMnkLgMrEoOMDpVIaK0LM1x3xUspcA4PyjqaZAmWaQZwT1qUKDF8nPG Qf6U2Ay2i3uGAIINW2k2z/dwD2zxQSsQAjHf65+tROyFwzYLHkAVO7GIQkTu/wDGxyfb2p0sh8va D85Aq1d2dtLA93AdsnDbc8Y+lZSnEwyQMDv3FXKNhQlzK5r6Owj1mxZW5WePH/fQr2avEbGZk1Ky 2ocm4Tr9Qa9uogMKKKKsQUV5efiXqplkRLOzIUnBAbnnHrVT/hZ+tCJnNvZ8dfkb/GlzIVz0nX7u ew0O5urZgssYUqSM/wAQHSvPX8aa9ni4UL/e8peP0qre+P7/AFKwa3mS3SGXAbCkEYOfX2rFa4Er yKsn3cfKfTvWcpO+gXLuoa/qGvrFFdzGSKNiw+RV56dhVNrWIglVHPBIOaisryPcYSpxklW61Y86 N28xicY+6vA+v8qTDchSCMZcbQwPBANKXRotnG/GeT1oklTzMY5KkjHtVSeEw3amUlR1B6EVNiR0 0zRQgeXksOvaodhCySuuRnAxwD06elWGgincSGRiAAQD0NPZo8plMnPHHANVcOpnTXMuF2sBj06c fWpopZllIfmMgffHfHSrwh3phI8Ac4PPNVJ9PkRmk8zKtyVPanoOxNHqKc7s7SOOmBU8TJcuzCZH XG7y8HOaqrbRyIvlqQrcM3ofapo7UfaY3i3knIAPSlogRZinaOIq0Pyng8DJoSNdqNDKFZOCjHqK jncwOFCkykn0+UdzU9uFkEaSPkLn5sYyKVx37i3Q8yEMUAGeeOayyyo+Ig2P61qs72jOqSRzKpww HXn/AD71UmmVpEKgZHJHYfhVJspWe5VFoHJZhnjv2pxQtCsCyqqqM7mHU+lWgUkQorfLjJyeTUUd yjkxopYIMYI/Oi7I6jFtJY2O5vl6g461YRisb4I2nqFqtJNJEZHd2CBcr2qxby/aNwDY+XqB09M0 9Rl63jWWxk+XJQeZ6D3/AK/nWeYWcBgcLmrcG9bGRJAdwxggdsgE/wAqqyECLYG2sSOSufxpCJLY sIyrYHJGD1P1qxG5WEJIRkccd6pgTY3tlnHXAxxWgrKT5hGPc9Pwo6lajMuyHnJxwPeqAU+Y8IcB e/pUsoYTNJwwA+ZSccH0qurqCcj5iMfjTSGvMnkIRBGgO4egpkDFCMk7c4BFEAcSNlsD371cSNTh lIxnmpbsJiGSOCNmUb2A556VRjhMl0sm7aOoX+lWZVXzozyGfjHb0qVgkLECQFugyOf/AK1GwWYs 4eJAsbkA4BB6GmsCypuVeOAR/Ok815XGVyF+6P8AP0pqplmBJPORzx/9elcdySGY29yjgbjGwbnp xzXWv8RbpDg2MH/fRrlCyRJzgnOOBx61UnuMyfKyAY704tgen6n43ttM1Keye1dmiIBYPgHgH096 y/8AhZaFvl0slPX7Rz+W2uO8Q6tb6tqd3eQF/LdwYz0IGB1/I1iwqCzEz42jnnPNNyfQyk5dC27W 8lxuEZQB+g65zViO3i3KrogXOG9qZEYkR2uFBkLZwvUVCb4rKy2znYQQwYZ69/rU6scb9SY2MTgh gVYlsY7jOR/Sqotp4bhW8tyqfewOoqq2sXCzK8bNuHBLDO7mrcmqzXEfmLGqEHlgetOzHoRTRyic mOMheo4+6P8AIp1vO32pBKMptxwKcmoXjLuBDITyuB/+upIblJd4dFSQH+Afe7YoAgvZDb3fytkH lvb/ADgVLHIs5RHIZCowPWrGFaUFwWzxgDnFUvLkhlVgAyZO3PB/zzQDLZhRXwpeRyAOvQdv5VGx aQB0yD0ZMd6sQSrKMjAOew59walJAVgW5J60gGW6ogAckuOnP+f1ofexyqAAH7oPSneU7KCT0zg9 zQmdxZWwB1A6imCtsRgeXtyQqseFxinPmM4jwXH3aRJWZ9mR1/iBpUfzCxyMrxnpj3oaHbUVELfv Z5SH6HpgU87cblGyMcgYwWqorNubYCQD1zSozoS2SQBknOST+VU4jaLG6B4XLzN9oZOE242EHuen So7VGEbRz/OScoP/AK/pUiovmKAOvJPYfStOJI7iFmwvmuQm89V96iUgUebVGLLFHHIQAHG4YJPQ 8iqEVxsuG2RZkOckcg/hita+g8lmji+cDpt5zWZCggBBPzgnOR0HqKpPQlplmSWRosNGNvoeAc0y 1i8q4d5HwW4AVc4/D+tPuCFw2MYAbcwzVZY7uadZ1RXUDI5x1PFC2A2ba5CBiyl42BQjoMEjmodQ lhuWUWsKwqq7VAPUepqdWa5gkLRswVcKBnCkDv8AlUUNhd3KnyoDvQHLZ4I74HrQMq2bzISZNx3t 96p3utoMQPKn5s8delNuwY3YKuAoHFMUtK4Y7dxAA4xSe9wYs8blEJfJYke+KrSgxqF2g/3hmrb5 aYAZ2jmmPJmVVHVeTj+tNMYyHzJGww4ABHbFWY5A+QOgOMevvSiMggcEjJY4z71CpIk8xcDZwcdz S3KsTTNjMasWODjjmmHbNg7dr9ce9NWPYA7ksc4J60oKxmUIc56H3pEhwi4Xlm6gdqsQLEQMKSQO ef6VTVXQbhG5Y/xY4FSRxzAO4dY+O5GTQCY6ZA3zMzKCeAe1UY5pQGCRHGey5q2Yp5IAjgFwcim7 hESv3T3HvTHrcyfMe2V40I8tsrtPWo0MkcwbDA/7Iq+IFvw+903DBJHFX1ggkhXjcVXG5eCaLkWM bzZJpo0fcc/KdoqezfytUCqjFVAypJ5IFWJ7NlJ8rCsTgFqsRW5RWkVU3leCOKLhYiuNMR3WRkCj OcA9OvFRz2oYCND5aHqccmtEKzx7mXle1MY70yV4I7/4UrlWMwWaAEQyMrZwQaa0CwSsSpKfwjI5 PvWqVDBWAG7pjpUDxNKHGdjEYyOgp3ER2E8DqYx8pUHLN3/zmoZXSKUfLucdT+PNQTWLjhZkAAJH ykZ9hT7S4kDgXaqI+6v8pbI459jTsIft8kPNHtC4OF6nPrV2OcPbJKOm0EUx0t1eQiLzPMU+WFJw p/rVeEyee8YBeTIBA6IB60NXQNW2LsV0VZcc5IJB5/SkIia4Uq2Gzyuw59un9aryy+RJkLvwCfl6 1FBe+TLIBMwWTluBkD2pRTJV+pdkst0uzzFZW6hTk/j3pfIZZRb7Pl4GT2quLlLe5WXam7PyoRnd +dXFPmzKvkF5FOE24GD3q9wk3HUJbcQwbkmT/bXP8qgCoY93U9q1bPddCRXkkCIcYI5IP+SKsz2q LZrHbwhSWGCvt61ryNq4lUa0ZzjuwcEhRu4ChufxqzBLJboZDyjLwiEYwOvvTQ9u+7cwMgyuSvO6 o5CluVzzkH5R0BrnfY1TszSxGsI+b7wBLd81mXAikI3qyKT94DnpUsWNoduQDzk9KdI/nhCFUYGN x71OwnqViVZVUuQwGBkD5qhtmW0idx94nGDxkY608x4m81W3Y+9uHI+lKY4WxIyBkB57jmrQkXLC 5BiBAyGfBwP6e2a0Y79bCSNGk25wNoz7df1qssMdtIIvlVEXduHPP/6/5VUXyVkJxubrk9fwFDGb k9pFfTXLKwbcf3SqMls+3WsAqy3ARkZQpIbIx09aU3EkdwNruqjoOm30ouLlEtGi3FzuIwDx7c/n QJy1JIQOSGBBYnrUaolsT/EX54+tV/OUDaCenIXoanG0suwbcDPNQGjdyXqckld5wCB2qKMpEZB2 yMCrDPtjUyD51JJb1GKywztKRjjvmmNuxfNwXiKxoCAeSexqFVnLozMpOAVyaS0jbORwd2MdiKuN EVlyV3YOenWnsVcURy+Uzx5Dg55PWq0omkTM3BB+XAq2ZHiAymM9ie9PO0IHJIPXFK+o2rkFvOSY kJI4xn6U2aBXk3ZbkdqiknAOFUHa2QvqKaz3APyfKMe1FncaEm0+NpSzA7z6Hg0GBg2ImIZscA8D NQ2105hYvzjse+P8mrylXRJYwBu5zQZ6Fe4WWIjEzMT1G0VJCspUuzYA46dasAxl1DgA4J47VHIw CNGOWI6jpQtR6EsUoaNySCQOn0piOryiNlORjcw6CqccsFuZVmeTzM5XAzn/AD71Ytb1cdTyeh4N FguWJ1VAFA/dnuv61BvXcOcKOn0qYnerAkdMnFVpdsDbWIOeVOOtCF1IpGLEgc+xrPmlaU7PLVc8 MQa2JI1WIucfdxzQttstQXCsxO4YqroHcxBOYT5cbkEd+vHpV+GQTSjbIzNj5yuOfwpz2ULE5Vg3 r2qqbcQIzQKxP98Dv34p3TJL03lZRMhQRz3JH0qtOkb2kaRpmbf97PQelV0QptZwGQYJbGdw/wA4 q1BPcoC0EKxZOR5i8D6UJ2Ho9zSk0ALbB/NLSr/ARnt0qtbOfNwCwZTkEcZOf/r1Npd/JDJLBeTD cSHR26EHrzVi4ljjGQ3zE9am7FJlRdRks9XEzoTG/EnYHJJzXVia23iEyAyYztB5xXIvGFceYPMQ nKsD/nirJurJAG8hjIeMo23Hv/n0raFXl31Mmk1a9iTV4beObzwgERP710+8rduPxqg/ltlRtcEf M4yfyJ605mj4OZJkY4dWPHf/ADzTF2Irlo8BOAMZJyeKmUuZ3NoR03LP2JBAkkAadQNzjOcUJIhb a33AoYMP88VPpzyLdKI4o9pGCGP3gf8APemzaeyeb5TKQQSF9B6Y/wA9Kcoc0eZIlSSlyyZTVRwY jukd8KuOtX9Pvbc2EqS28Y2EbV2YLnpzVb7E0CiVFWVmQkOW4X3/AJ0RQqY87csZAhzwfes4oqVl obDwW7Wu8sqSzAHJ5wR6f571mPbmFPMYADoCOpxVt1LLHNIoXcoCxrjJP0/rVWNZjK8aqO4IIzt/ zzSY2ViyPncVRCuBxVWZIRaIqtmVid2e1W3g8qdVIUkdDn3qlekQ3ODgFhyB2oWonqOtYlIII3YH 5VM8gtw+cb8YUYpYDDFaqcZY/MwP6U118grIT87HnuAOw/CkOMVFCBZi6ndyRzntSPbuAznkA9h6 8VoFURQ3LHGMZz1/yKnG1UK8YPXNLmKtpYo2G22Zw6Bs44PWp473bdElVCkkYHY1Vcr9qZg/APfv To4CSzvzk8e1HqCVtC3d7gA5PynqPSqTSlocA8Dr6+39KddzMUC7sIBg1WSLhcKeO5Xg00imOMbR hZApTg/jRlnAOWXjoBUsktxJ8zLvXHGB0qMzqnBKp7OMmmBmXUeJdwYg5yctkf8A1qt2uorEpjlT bnJDVIbMyRGWPOGYfLtprwKluY5IiFx255o0ZkOacErJIx8s4xtPNToyODLGS3GQM/hWY8Sxw723 +UMBQe34d6uaa0YdsEIGwVHtTsGpakhU8soyR3HaqclvNG4MTBcngjjHuKvSSITjcC3bPrQyg7GJ OB3pD3IFEinlmY55xxj8e9SFsx4ZMknPIANTuqKuVwQRwahZGlXZvC+4pCtYswR+ZbBJEDgHj/Pr SbMFgpABJPTFQK81lGgkk8xQuOBzn6VKtwXPCcntRZlLaxFM6n93uDke2KRCVDbdpJ6DvUpfajIY gTncWx0qKJ3MqoEAU9SRTDQkUAAtJGORgFRtI/AUpiEyboZlkPOVAzg9qcgDKw2/7pqHbJGoaNFQ jnjvQDQsiB7dFdQy7cNxgge1UHDxyhFRljTncwzuPatCWPyigUFYmXOWJPPcfnUNzlY8u42k5HGM U72BjEJlto1UDAzuI7kn/DFJsWNT5nQetKtwqssgRfu++Ofei4QzAEHGexGMUGM463RUmumD/uBt Hf3q2ZPPsQShDKeec+n+fxoS1Cwh8rnIB9frSySRRuvysSDlyOg9AKpBBMu2mI4tsaHONofODz70 trdEXQikyUdiC7D7ox/nrQiEokpcKrtwT6+uKCGnyGcBl684x/8AXq4zcWEoRkmSSLLbSYAIVCcE 81YUKZg21Bxlh6H1p0WJ4kXLgxE4DDJHGDz6Vdjsf9ISM4XLBjMp4z9PSifLBNrYzTcmlMzLq1me SSa2ePy44/kYygDjrjPU8j8/es62kltrcjzWHmHLrnjNdfqWn7LcjbGUU5j2oMEHA5z1Pf2rip7O 9MgblUyQWxwP84NceHr+2jzJcp0uNlZ6ktxHKHWfbksePQ1VmgSeFXDYccnj7tOVnMpi3FmCnBxg 461Wt/MM7q5+XOeK3HbTUktI2kkLBhsHGWGcVO7zFNzpgZ4qUSLubcSASOAO9LMyLEiKr7wcgH0q b6hFK2hPDJ/ooDckc5xjHHT8qrvMHm+X5cdQepzUnlTCGIZ2xLg4B+8T3/OqFxuRixb5mzkKOn40 Iq4sNwhuZGb5okXCj1b1z7UkmoNGgy27dwEAwayIb29fKW/yxg5wFH6mrttZPIwkuXfcBxk8im1Y zUm9i3H5jx9RvyM+gqysE6RI/I57Hn86icgSKRknuP71WXkCoI2IDc8FcYpGiRC8sqyokaZz3608 28krFgwTthlzULTl58RuFVeQxp8jksD97jqOf60h2NEzK2Ou4dsVXupUbHBLDsDimLdWzcKB8vbH aqUqj7Rtj5zznOeKaRDZDexzs6xs3mB+QAOR/hTfsksPy4O1TkMOCvt71p20McA82Q8n8SaskROp PPz9FxVc1hNGRcSs88cpDAJ0xzn61PYTStLsdi6n7v8An8KljtpWO18FB0C9frUXlPbN9oVinX5i vB60boReeKJTwf3hGQCeBVCFWlkBbAG7nnGTTpNsU4djIysMgkEdfSnmBjJuH147Unogk3bRFvap B/iHQ49arTxSGVZYTynbnmn/ADuRhyg65x3qUz7MRn5WyPfIqVdArlOS8xIkd2VXuCM/rVhZ0Mbf OVPIWmzwJICWCkL0JGc1Qd/JudvlgJjOFPNUtR3tuaMch3KgwTzkmhZlwwfarA/WoVZXQ/wBTgsD SBETLklmbrmmGrehYVYrq3lRskE7gT1U+1U3Vlj2quNvHzH9atWhjeMqgw+eeeafuiZWDjv0PFMp LTUo2pliBMhVlJwQR/nFJMxZ2EYKrn5RnOBVnqrAOuxR8pPv29//AK9OtEjLYcNnBx70mzOau7Eb BPsokCt5iYXJXI571YsrDzoJHLpuAyB9KSEvI2ySQrnC/Mew/wAmtizt4LaBniuFeYg4HAHTgf8A 16q40rIyNzkc4BAxz2GOlS24R2UofmH3vcf5zU9zZ3MyRShckZBAI/QDuaLG0IkDuhCFsBT1YjuR 6UJah0uy5HJFbRbo1xz91ucfX862tJa2CvcXEi+YMD2HPaudu450uZExubPGB6/1qclkgBI2kHbH kZIA4zWGLoOtSdJScXpqvUcHbU6LULiC4CWsLxFpiMMG5X34qr/Z1vdz3EUPLxAKd53Bj755/EVz QikRpJVYqMA8jjPqPy/lWna6pDCkMFuitKFIknk65PXGP88Vw/VKuHgo05N3/Pu/ysWpKctUZM8S WF9uCKJjwY8Hj29/zrPupQ0+5Y9hPIU9fzq7qAmlf7RLIZMty5zx9D0qm8LF0iWRpj2LY6V6CvZc 24WTGXO1THgguRkkdOnSniZELAbnTHzNz8uajuYBFJtGQ3cdRml3SJbyQ8x+YwBXpnHTNNbByco0 QxSn5JMFRznPPvRPa4C4mXn8MioUgkQ78jP86ncSSjaqKqKB1Oc/jS6kqCQ1BbQ2+VG3gZwO+etS uHmi4BUOAQw9OlOt/ssRGWLF+uRwKstcRYdRkADrRcoiS15UsQD7ipGjeZlZiNy47dvenQTPsGAC AMkEc1DLLN55e2HUYOei0ajvpcbBbxBZZCgyARt29+hp6RRlQVLAHoKYrOiEyMWY8lu3WpFiaQbm UAn3NIXQqJpjCRlkmdeRyv8An6VW+xzW84Yvwp7nrWgomEjAsWygZm7c01pGYhQFYehH61pdkW0F KTtN5Lbmg+8jA8CpZJGtQAELscYGKb5pV4lw7ZGCqrUvmBxk4yexqQWoTyM0ZJABUc4q3o2qQ2Sv FeQCaNvup12euAeOaqBRsIfJPrUTogQsQN3rTTsOw3U5LS7uRLawrAgAxEDx9aW0uVkhyANx9Dms /BkDglwQcYUDJp1vYsWB3FCDnI7/AI03qHU1pJUOFAUt1AHaqgnNxJuJ+6O45FLHJ5mWSNWOfvNk flVWW6SORZQpbPy7l5BqUhNtbF1nDSYJAOMcdqW5ht/KFw3APyscciqkc0TSCZ3HPOBxU3mK0RPm kK3UdzTsOPUjWNJJMFzwOoOD+VNa3mQbw37zGFz6VKbdY4kmBAzg4Pf/ACKSaSTG7acEZA607MW7 IoFmtsTBtyg7S317GtC4lsntZFETvI3IcZ57YwOPWqtgwcSJJIFt2AMuf0I96ktG3SJHEw2g4APa hlqNiPyhBbKGDEKOFP8AKk+0yJEjxpHyPuYPf360zVrgS3jxwMsmwhRHtPPq2e31FKBvZtqlQQTt Uk49qS11JsXISt6LXfKgdVYEYJ4z61qi03yJIJIo0jA+Y8E/pzWHpdq0xG8hImJHPGOa6bEUdsz7 TiMZII5CjuCfp1q73BJIgurmO22iKFjIwJUY+XPXk/561lzTzz4JyAD93PAzzWqLiKK98tdksDKC GH94ds9M+1R3cAQhrS38xc4bEnzHnt7fjTSuhN2K0TzR+YzM0giUnbnhux5/rUTTySTBtxIYevKf 55qVbmGMy27w/K6ndlRnP155/wDrVQWV4xsTaQMqWbsPYd6TfYcV3NRxKlokahHVh/E3b1NQWsMt 7cTLJcLG0ceGLHgY4wPb+VUlnMhURsxLZySOPwqG2uoys0TBkZW8sk/xZHUfmKipee3QFFRLVtdA zPbTBzbhcYAyv1z1HSnzxW4DbVZI2XKsXJLH0POKrTj7LK9ueCw+8D37dPypkcxWJnbcJRyCTuJz RJytZiUVuSHmISuT5itncw5Pf+R/SmteC5O9sqcbdxPGPY0XdtIYkBwyZLOh/iJ/yKqsoQLvYpsx hSp4HtUI0ctFctLIzN5e0hMYBA5//XTpBHbOqsxxxwTnBqn5pzvTeSORmprK4BkYsiMSeTjp6AGg SabHsUEYX5GbPp1p6IVJJATruwf0pZEMw+6ARnJ7CmyTCJBAhB+XByO9AwZskAYJYc7fxpwD7FDS DB7Ack0kE4hQq6ksTncep9KYsjNK0hXDHgc9KBdRwVQNoGcHIBGcVIJ40G0uoPvTAmPKYknaxYv+ FE8Ecsu4kmgNRGgCzk+Yp4wRn/PNEcO1yxYDPKr3zSOBaNwu5mJ79PSlVgq7pycKODjvV3JuSzyo gByFb1P8qg89JThUBZRjg9fr6Uk0cco3KSccsBzxU8aKke2FRwcvzzSFZ3FBJXeRtB4AzVWKSS6k dDEVjwVGR1q5KzfciGQmO3WnxxkjOCCfSlcN2V0iVBgqfl685zSmcplcFQfSlmDdgQT1ApjNhCzx kOvAyetMdrDAjxwhSdzE8tjrRJDBtVSAcjrmpAwljJYKCByD0qN4o0Cu2AcfL6Y7Uri1Gx29sJVV VYOowcHr/nrVGey2TZSUlOpHer5yuG3Deeh6ZqN5WkLRmP7w+8MZ+tNMLNksce+2SHJAABHcVOtl btLDFFJIOBu5/lUdtLAiOCw3gAKQatmHyitx5bOoOVc/d/LtVxv2E7W1djOuLNo5GCjfGOhXAPvz SWsEhYsBkdmPBA7gVZDS3VwUFxHGHJO0ZHfpwK1rLTkSGYLOA5UhZAPuZ+p5q405S1QvaKOhhy2t ulwGEqrI+FCPwc9iKfbboJvMfKKDtZioJx7VFa6s+kTSQ4juGJK/aFHOPVT2qS3iM8TylWEW4koT uKg9MnvUpMttWuaqi1eEvAsasPn/AHjcknn6cf1p1xIJlNvNJJEZk2hwxIPPPPp9OcVTt8ROv2pV WM4QDHBx6/pzUOpTOsMZickhi4JbOzpgg/5xQ9wjsPdWFlFaLNv8rLrFgdz69enPNXwyGyEvnAY4 aPdhx9ap3oiW0hkSKSKRRy4bJY9SS2ffpVVrqeW28kyGQkAkP1x2/wAaLqwe9fyFJVzgr85PXPB/ CgAAuGJzzk45pixyLCzbeR6GnW928cpJh3AgAqevtUFtIduUH90SX9OmKgeNjks3zg9B3pXjeGRg TvYn+Edf/rUyRjEowvJHU84/zmkI0BexGyEbRL5vlncWHp29zVcXCXOIJE29M+lV0WSbKHvyCR1H epmOZMAKCAASveic+YmKUNR1wrxBY1ukkVundxSQWZL7vvZXcSxyRg//AF/0qFYnMo2oSRzhRmr8 cDPCHbgjGB7f5xUalLV6leVIFuEjiDSRumQTjJ45/XimFY4JNxO1l6Kp55NTGBfMBUBSBtzz0qtJ aiYkgtu2bj1P0FNDEm1AeSPLXA6DBqK1uMH94gyw+XkYqKW0eIgkEg471oI1pLbos0DKyD7ygcsM 8/lVWVhEbSM8h+XaF6HPUVJktKoVAwz+ftUBcKuVUYx1I9umKtIW2xKdwKAHcvFIAd/3yorK2R0X oooaNXOdzA9wBSbJY52K/N/Fgj9KdFIhjUsTmhDKiSStOWZcoT/HRMpvVMikrsJyBzUEzt5gU84H UVNbzhFMSr8zHJPrVGb35S7FGYRGcKWP8ZFJPLGpckbZARuA6kVD9pAjIYjIPAU85qKBGifzXXK/ e+b1pDbvoi1HK5JztMWcgipi5KAZGD05rOMkkM+yNQyN8x54H0q3EWmcbANvck80mgb6Ecku1WVC cqeTineUZV/eEruHrzUmyNC3ADEcknOc0m13wcqi9cse3060DTtoiFwhjKgkFTtLE4//AFiq7yMy bUBCLxuqaaW1BQksxAOQy8E9uKVHi2xhtwVjg7j0pgnr5jPL3RGTzN0mMoMce9PtmkRhuQOQcklc CpWKj5YirEDIAHaoJ5ZAShBVs4OKaZVnrclu3SRifJjjA/uimPJkeXI52YypPalCSQQ/MAy5yCAe lQvOsqOqxYxzk84/+tQ25EWVrWJIminMm1gr8bD60Xl7ctbFWJidTtYrxn8feorSwyUkXGFz361c LwyOIgpG1QCSwAIAzjJ6n8qak1sxuKe6IIfnsIoJ4k3qTtbHYnp+FbUFjd/2UQGVMg7MAAkH3/P8 6y2twzs5G6Mj7p9alhv7yKAQiT92DwCKqnNRldkVoSnG0dxqQSyWoy6DaT8h+8xpLhj5Sqw4VcEY 6mnoyzuXZ8SIoLerVCGLtyCVYZOOSBUt3KirFqyEc2+F2Kxsncj72R1OOKka3V9/O11bqVxjtx7V URY2iWPy2LN8zdckdh/WrVrIrP8AvGYggKu854HY0rlIjV1h3K7py23tyR/KmJMkb7oo1werMOtT TrFcZUoQFYckA/yqmdgQxopVh19qQxJfn+d8dwqqPeokfy3GWy3pjgj0q0uAoDOC/BIXgiontUD+ YM5K8D2pXEBQXSRxgYkVsqD/AC/SoVR1zvIUjrg5zVmL5ZU+Zdue46U2CE3M5ywIzz7Giw+ottNA X2XAkWP1Ujk1qpbQLApimdy/GCeAKz2tY47kR3JIxwAKsxzR2w8pcYJ4HUms5PsbJJ7iXSy2yAwo pGMEquMDvWfNLEsiMxJb7uO/+eta0UsbQndJyW5XPasO/mBuh5QQdsY6e1OF+pnUSuJEyyXLNIjN g/Im7haesplLb4wHVsBU7D8Kge3kjRsYIzkYPNWbcFrd5I22sB68njNaMgaYtzhW4JPAz2qZDJKN ikbRgH8/WqW8hlMhOQOSOtaGm2t3ql2bPT4vMfaWADhcgdetFhFkkKQC2WPGBUa6e8+WjkMYzgg4 6+vStWPwb4idSDapGR3aVOfyJrRtPB2sxRESCIEtnAcGiMWhN3OGuTtZQny9zk01JVDkgD5ucgUU U2yZSalcEAM29eNxyN3rVsO5BZ13RgckUUUh027MJmBEYVDnqD3/ADp8CFcHpnrjvRRQ9EX0LEVy u1nQINrkbguTxjg5qK+nZ/mjRcEZIoopitqUB5jyCTywFUfn681O10zwhNgCnJJz/KiiixSSuOtS iyAIpBIAzjO6nySpJMSB+8HB3UUUkgI8MyGMuQuM5I6jNV7mzlUxeU4BJyxNFFN6BYuW8MpR1MkY jVfuhMfoKrrYy287LOEaJ8MoK8g0UUgsaDMZIzlcMntjNVXeRlOEXrnI9aKKAHrJ8yOCuQSDxnAw anhWJ8TSKDGpw23IyMZ5oooEVmNwGOw7oydzKD0Pp+lRJcpLv3AZHGN2KKKAGyyz+YHiY4Azlu9S gNO2512jbhge5oooGhot1ikJB5b37elOkYxyAKGcZ6A9DRRSAQS+YXI+Xb2PSrlkUUSBkkEgUuoC /ePpnP0oopoVyK7kbJRy0mW6jgqKjSNiSgkKqOWY+lFFEirtCRHzpWjjP7sHp0JHqT6VFNHG8mGw JeDxRRS6k7ibhDERvXd2P97J54psdvLJOoiR5Wc7Qq9ST0+poopgXD4d1yRv+QZdE9B+6PPvXU+B dH1LT9b33llPCgjYB2TAJ4oorRIk9IoooqwP/9k=