20170224 11481900 1.0 FALSE 150000000 5000 Street 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Colorado_Central_FIPS_0502_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/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",3000000.000316083],PARAMETER["False_Northing",999999.999996],PARAMETER["Central_Meridian",-105.5],PARAMETER["Standard_Parallel_1",38.45],PARAMETER["Standard_Parallel_2",39.75],PARAMETER["Latitude_Of_Origin",37.83333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2232]]</WKT><XOrigin>-450359962737.04999</XOrigin><YOrigin>-450359962737.04999</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102654</WKID><LatestWKID>2232</LatestWKID></ProjectedCoordinateSystem> 20260323 21302300 20260323 21302300 ItemDescription All streets (roads) maintained in the Address Street Political (ASP) database feature class "BaseLine", which includes some out-of-county roads. <DIV STYLE="text-align:Left;"><DIV><DIV>Data Type: Dynamic. Vintage: Current. Editing of street features within ASP is ad-hoc. Such generally occurs on a daily to weekly basis.This street data is maintained in the Address Street Political (ASP) production database by the Business Innovation & Technology Division via the ASP Tools. Source data is the BaseLine feature class, an atomic-level linear dataset which includes street, unnamed road and political line features. Column BL_TYPE has a domain of 'S' (street), 'U' (unnamed road and 'N' (non-street political line) and is used by the ASP DERIVATIVE processing, through tabular selection, to pull the street and unnamed road subsets to distinct features classes whenever geometric or attribute editing occurs. These linear derivatives are then pushed to the spatial data warehouse (SDEWHP) by the ASP To Warehouse (ASP2WH) processing. Here, BLTYPE is obviously 'S' for all features.Original street feature digitization in the early 1990s occurred using 1:4,800 scale ortho-rectified imagery and remnants of that digitation effort remain, where road geometry will appear quite jagged and rough when zoomed to larger scales. Between 2003 and 2011, using the Address Geocode Environment (AGE) toolset, street digitization generally occurred at higher resolutions, where1:1,000 was the desired scale. Since 2012, when ASP and the ASP Tools went live, efforts have been made to consistently digitize new street features, and fix old, at a 1:500 scale. Due to the offset in the 2022 ortho-imagery relevant the 2020 through 2012 image data, streets seen in 2020 or prior imagery will generally match to that data, where only streets new to the 2022 imagery will be aligned to such. Column BLUID (BaseLine Unique Identifier) is the unique BaseLine feature key maintained by the ASP Tools, which is independant and not-to-be confused with Esri's OBJECTID. Column BLUID is used in all ASP bridge tables where many-to-many street-related correspondences are managed.Columns BL_LBPUID (Left BPUID) and BL_RBPUID (Right BPUID) refer to the associated coincident BasePoly polgonal feature associated with the respective side of the street. Cul-de-sacs and dead-end roads, where one endpoint of the road has no connectivity to another BaseLine feature, will obviously carry the same value for BL_LBPUID and BL_RBPUID. Note BasePoly features carry political or jurisdictional attributes, and the relation of an adddress to the side of a street to which it matches and the political polygon associated with that side of the street feature is how all political attributes are tied to address point features- with the exception of special districts (tax authorities). The latter are the only political component attached to addresses via point-in-poly spatial overlay.Columns STREET_LLO (left low), STREET_LHI (left high), STREET_RLO (right low) and STREET_RHI (right high) refer to the left- and right-side address range attributes attached to a street feature. Addressible street features carry non-zero values in these columns. Note feature directionality always corresponds with address-range attribution: low values are associated with the feature's from-node and high values with the to-node.Columns STREET_LADDRESSABLE and STREET_RADDRESSABLE are flags indicating whether the side of the street is addressable, where the domain is 'Y' (yes) or null (no).Columns STREET_LZIP and STREET_RZIP refer to the left- and right zip codes associated with the street feature. Columns STREET_DIRECTION_PREFIX (street direction prefix), STREET_NAME (street name), STREET_TYPE (street type) and STREET_DIRECTION_SUFFIX (street direction suffix) form the individual components of the full street name (column STREET_NAME_FULL). Note column STREET_NAME may not be null whereas the other individual components may. Columns STREET_DIRECTION_PREFIX, STREET_TYPE and STREET_DIRECTION_SUFFIX all utilize appropriate domain tables for data entry. Table "StreetNameFull" carries the domain of all distinct (unique) street name full combinations, while table "StreetName" carries the domain of all distinct column STREET_NAME values. Both of these tables are available in SDEWHP.Column STREET_ALIAS (street alias) is a "flag" which is 'Y' where the street feature is an aliased street and null otherwise. By aliased, we mean multiple street names are attached to the feature where the primary name (generally what is signed) is shown in column STREET_NAME_FULL. The many-to-many correspondence of street features to street names is managed through the "StreetAndName" bridge table, which contains all street feature (BLUID) and street name full unique identifier (SNFUID) combinations. Table StreetAndName column STRNAMPRIORITY is used to manage which street name is primary, where a '1' indicates the signed street name and '2' the secondary name. Note the "StreetToStreetName" and "StreetNameToStreet" relationship classes (RCs) exist in SDEWHP so that when the "Street" feature class is added to an MXD, identify operations will return the multiple street names when such exist. To find all aliased streets through a tabular join, use the syntax per the following SQL:SELECT bluid, c.street_name_full, strnampriority FROM street a, streetandname b, streetnamefull c WHERE a.bluid = b.bluid AND b.snfuid = c.snfuid AND street_alias = 'Y' ORDER BY c.street_name_full, bluid, strnampriorityColumn STREET_GRID_NAME contains a code for how the street was named and addressed. For most street features, the code will be either 'DMAG' (Denver Metropolitan Addressing Grid) or 'JCAG' (Jefferson County Addressing Grid), where the latter is the County's extention to DMAG. The City of Golden (GOLDEN) is an exceptiopn, where most city streets were named and addressed based on Golden's grid. However, there are three areas within the City of Golden's municipal extents where no grid (GOLDNG) was employed. Another prominent exception is the Ken caryl Ranch Plains (KCRP) subdivision, which was granted an exemption from County addressing standards. Column STREET_GRID_KEY contains the numeric JAGUID key from the feature class JefffersonCountyAddressingGrid where such are associated with features from the Denver (DMAG) standards.Coulmns STREET_BUILT (street built) and STREET_PAVED (street paved) are "flags" which are 'Y' where true and null otherwise.Column STREET_CLASS (street classification) is a three-digit code with this domain: '010' (freeway), '020' (parkway), '030' (principal arterial), '040' (minor arterial), '050' (principal collector), '060' (collector), '070' (local residential street). ASP street classifications are periodically reviewed relative the County's Major Thoroughfare Plan (per Highways & Transportation).Column STREET_SPEED_CAD contains a two-to-three digit value associated with street classification (STREET_CLASS) and maintained solely for Sheriff Computer Aided Dispatch (CAD) purposes. Column STREET_SPEED_LIMIT contain a two digit value representing the posted speed limit. The default value for a feature derived from the STREET_SPEED_LIMIT associated with the street classification (STREET_CLASS) but may be adjusted up-or-down in 5 mile-per-hour increments to reflect actual posted speed limits. Note column STREET_SPEED_LIMIT was initially assogned based on defaults for street classificaitons; no effort has been made to correct. Over time, these values will be adjusted using both Cartegraph road maintenance information and actual observation. Column STREET_TRAVEL_DIRECTION is a two-character code for how travel occurs on a street segment. Note travel directionality, on one-way segments, often differs from feature directionality (orientation of a feature in terms of from- and to-nodes) where feature directionality is always based on addressing and the associated addressing grid. Column STREET_TRAVEL_DIRECTION contains this domain: 'BI' (bi-directional, two-way travel), 'FT' (one way travel, from feature from-node to to-node), 'TF' (one way travel, from to-node to from node), and 'NT' (no travel allowed).Columns STREET_ZLEVEL_FROM and STREET_ZLEVEL_TO are one-digit codes used to manage feature connectivity in the database relative real-world road connectivity. As an example, in the database the street features for I-70 and WARD RD show connectivity whereas in the real world Ward Road is at ground level and I-70 is an overpass- one may not directly turn left- or right from one to the other. The domain of values are '0' (underpass), '1' (ground level) and '2' and '3' for overpass conditions, where '1' is the norm for the from- and to-nodes (endpoints) of most street features. These columns consequently help manage where turns may or may not occur and are of great value in general routing operations and in dispatch. Columns LCOUNTYCODE, LCOUNTYNAME and RCOUNTYCODE, RCOUNTYNAME refer to the respective left- and right three digit Colorado county code and its associated county name. These columns do not exist in the source 'BaseLine' feature class in ASP but are appended and populated by the nightly ASP DERIVATIVE processing whenever editing has occurred. The county code is populated on the basis of left- or right- BPUID for the street segment. Given some street features on the county boundary, or extending out-of-county, have no associated BasePoly feature then LBPUID or RBPUID must be null. Consequently, in these cases, the LCOUNTYCODE or RCOUNTYCODE is null, and the associated LCOUNTYNAME or RCOUNTYNAME is designated as 'OUT OF COUNTY' rather than carrying the actual county name.This data may be filtered using definition queries:Jefferson County streets: LCOUNTYNAME = 'JEFFERSON' or RCOUNTYNAME = 'JEFFERSON'Out of County streets: LCOUNTYNAME <> 'JEFFERSON' and RCOUNTYNAME <> 'JEFFERSON'Additional information concerning ASP street data is available on Sheet 2 of the ASP schema (here via Livelink): <A href="file://admin.co.jeffco.us/admin/Share/GIS/MetaData/ASP/AddressStreetPolitical_GDB_Schema_Phase4_Visio2002_20170201.pdf">Address, Street and Political (ASP)- Physical Geodatabase (GDB) Schema</A>(Six 44"x34" pages, 676 Kb, PDF)Where known, gates, check points, bollards or other structures which constrict traffic on a street exist as point features in the RoadGate feature class, where such 'snap' to, or are coincident with, a vertex on the associated street. Data is in State Plane Grid Coordinates, Colorado Central Zone, NAD83 (US feet). </DIV></DIV></DIV> address alias aliased arterial avenue boulevard bypass circle classification collector directionality drive freeway high highway interstate lane left low name parkway paved place priority ramp range residential right road speed street trail transportation type way zip address range aliased street left high left low right high right high residential street road classification street name street type Credit the GIS Team in Jefferson County's Business Innovation & Technology Division in any use of this data. <DIV STYLE="text-align:Left;"><DIV><DIV>ASP street data is consumed by the Sheriff's Department for use in Computer Aided Dispatch (CAD).ASP street data is consumed by Transportation & Engineering's Cartegraph road asset and management system.Otherwise, this data is intended for use by Jefferson County agencies as an aid in internal decision support and for planning purposes only. External use of this data by any entity not under the authority of an elected office of Jefferson County is not constrained to Jefferson County's Enterprise License Agreement. Use by external sources does not confer any warranty nor liability for the use of this data by such users to Jefferson County and its elected offices, divisions and departments.</DIV></DIV></DIV> Esri ArcGIS 13.0.3.36057 Street Street Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. BLUID BLUID Integer 4 8 0 BL_TYPE BL_TYPE String 1 0 0 BL_LBPUID BL_LBPUID Integer 4 8 0 BL_RBPUID BL_RBPUID Integer 4 8 0 BL_LENGTH_MILE BL_LENGTH_MILE Single 4 6 3 STREET_LLO STREET_LLO Integer 4 5 0 STREET_LHI STREET_LHI Integer 4 5 0 STREET_RLO STREET_RLO Integer 4 5 0 STREET_RHI STREET_RHI Integer 4 5 0 STREET_LZIP STREET_LZIP String 5 0 0 STREET_RZIP STREET_RZIP String 5 0 0 STREET_LADDRESSABLE STREET_LADDRESSABLE String 1 0 0 STREET_RADDRESSABLE STREET_RADDRESSABLE String 1 0 0 STREET_DIRECTION_PREFIX STREET_DIRECTION_PREFIX String 2 0 0 STREET_NAME STREET_NAME String 20 0 0 STREET_TYPE STREET_TYPE String 4 0 0 STREET_DIRECTION_SUFFIX STREET_DIRECTION_SUFFIX String 2 0 0 STREET_NAME_FULL STREET_NAME_FULL String 31 0 0 STREET_ALIAS STREET_ALIAS String 1 0 0 STREET_CLASS STREET_CLASS String 3 0 0 STREET_CLASS_JCOS STREET_CLASS_JCOS SmallInteger 2 2 0 STREET_GRID_NAME STREET_GRID_NAME String 8 0 0 STREET_GRID_KEY STREET_GRID_KEY Integer 4 8 0 STREET_BUILT STREET_BUILT String 1 0 0 STREET_MAINTENANCE STREET_MAINTENANCE String 8 0 0 STREET_PAVED STREET_PAVED String 1 0 0 STREET_SPEED_CAD STREET_SPEED_CAD SmallInteger 2 3 0 STREET_SPEED_LIMIT STREET_SPEED_LIMIT SmallInteger 2 3 0 STREET_TRAVEL_DIRECTION STREET_TRAVEL_DIRECTION String 2 0 0 STREET_ZLEVEL_FROM STREET_ZLEVEL_FROM SmallInteger 2 1 0 STREET_ZLEVEL_TO STREET_ZLEVEL_TO SmallInteger 2 1 0 LCITYCODE LCITYCODE String 2 0 0 RCITYCODE RCITYCODE String 2 0 0 LCITYMUNICIPAL LCITYMUNICIPAL String 16 0 0 RCITYMUNICIPAL RCITYMUNICIPAL String 16 0 0 LCITYPOSTAL LCITYPOSTAL String 16 0 0 RCITYPOSTAL RCITYPOSTAL String 16 0 0 DATE_ADD DATE_ADD Date 8 0 0 DATE_MOD DATE_MOD Date 8 0 0 LCOUNTYCODE LCOUNTYCODE String 3 0 0 LCOUNTYNAME LCOUNTYNAME String 16 0 0 RCOUNTYCODE RCOUNTYCODE String 3 0 0 RCOUNTYNAME RCOUNTYNAME String 16 0 0 SHAPE SHAPE Geometry 8 0 0 Feature geometry. ESRI Coordinates defining the features. SHAPE.LEN SHAPE.LEN Double 0 0 0 Enterprise Geodatabase Feature Class dataset EPSG 5.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE 20260323 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKAEAopaztS1ix0i3WW/vLexiY7VluJFiUt/dy1L4gEXVrNr+SxS7ha8jjWR4 A6+Yisflbb/d6807TdSs9Xs1urG6hvbaQfLcW8iujfRlr42/ac+GOgfH74kaTL4T8Q+KrDxrawRp bato0EraVhQ8sS/aTti3vvfc0XmuEVty7Ur079nXwiP2fdFXwRq/2zWNWhgink1a1t2nSeM7kTas UQ8qNNu1Ufc3zN8zKjPXsVMFSjhY1Y1f3n8tv6/Az5vePebvUrPTZrOK6uYbeW7l+z2yyuFaaTYz 7Fz95tqO2P8AZaszxJ448PeDVtP7f1zTdGW7m+z2v9oXaQCaTBbYu5vmbaN3FcRZ+JdH+IElhe3t 0p0pYrp1u7a7ltYtyy2uxv4GVtzH73+991lrK8eaF4M1nUdNsdQ1yW4g8i6eO3/teefdcSvFAp2r L5rbllli2q33ZXXvXLTwy5kp3L5kdn4J+MXgv4jadd6j4b8Uabq1jaTPFPNBMAsbK20/e/h7Bvut 1Wu0tbqO8gSeCRZonXcskbblavw6/ao0q10HxBBpniD4Z2/gzxTBNIsd1FLJbWWq2vnvErJFIu7Y ibNsv7pm+dmXctfpx+xh8RDqXwg8F+Hby+vPEOs/2bNeTa093HcLdr9qkVpdzStK3z/3l3V9Nm3D iy/CQxtGXNGfp+aephTrc0uU+l6KKK+MOgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig ArF1zULjSdPku4YVulgUvIsk4i+ReWwzfLu4/i2r6stbH8Nef/FIWd3Fp9hrV4dL8PztI1zdmcxj zVXdEjP0Vfvvub5d0SKd2/a101zTsM4rwD4+bxf4w1DT/B8ekeHNPheeTUbGbSma9M+Itly7pIse yVWUq37zzVVWVvv+XLrHxZh8J+N08EeOrxbLSL2zk+z+Jr9jYQ3ju6hLdbj5I1uVUt8kTbm+V02b XVMjxPp8umeMLfV4I9Q8SaneWgistW0GKP7QyoEeOW6lii2Ku7zV+7slXavlPsrPuPBnxvnzq11f eG9Qe1uI7+2sLmGVml++zxKpbbBLtlaBW3uu3/a2uvuqlSk+ZtKNvnf1M/eKXjD4bpeeBbfw/qSa Fp3hvTJE0Caeaya/u9MR4niQb52lDxs0trOjS/6rcN6tt+X89PHXxR1TwH4u1nw7oHimbRr3wvqs drpmqafaWcf7lp13xPJBFFGlt8sUuH3Rq6fLv+8v3N+0VrHgnTLvwhYaxc6t4K8CeJrn+yr3Vpt+ mxWU8UTT2bKsu2WL7nleairtXYm9VG2vk/4pfBPSNU+K3i3WJ12/D1pTqUuteJ47aG/uh5Vw4eDz 5bWedfPVvm81vMXbu/1SrX3nDcqNNc2M1jLX4f73f+Z6+6cVX+6fO3xf+PHi742a1Yan408Qw65e 6XaTx20t5psVu8tu0u5F2wRbVdl+b5vl2/xNu219V/8ABKSxvB8Srm8n0uFrO40a5EFzJcqjwhZ4 g7xW5Xcyuz7d6/Lxt+X7rfC2teFzp8d2VjN5FZp5T3mnxvLaSSf39zKmxfm/iz8y/L8rfL92f8Es 9ds9S+K76PZ2cyLY6Dc3QuWkWNmVp4o2idUXbIu5kb6/N/vfoPE2Ho4fIqlLDQtBI5qH8X3j9VqK KK/mI9kKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBtYfiqxu9U0G9tNP1OTRtQkjK21 /Giv5Ev8DFG++u7b8v8AF92twda4H4wXXiXT/BU9x4YnaK8huIJZvKt/Pn+zLKvneUuyTL7M/wDL KRsbtqM21aqmnKcUgZ4BrHx28H/BTxVqcXiXXr/w78QtWSC1v7K5057+F2V5Nk9t5DLBGref1fa7 L5Hmpv8AvWvEH7ZPw+hFrJp/jHXNXZ/JktWtLaO38zdcRRS7mliSNNqyo379UVklRkf+NfFPiZ+z 54K8X/CfU/iK3jS5034iXmkvqem6hd66924QRPP5U7PAksQ274st8y7UXd8qx14D8F/EGg618Pbj Udb0Sa+/tu4bw1FNpGmQXeoXV5LL55dmlWVWbcyttl+Zlg+Vn8pdv6lhclwGKoe3vJyjpLb/AMl0 207nFKpKB7J408XSftveLvEOheHNG1rxpoGg6PLqFne6lq9rYb7xm328XlRRJ+682JoN6tubcrea q/PXgn7QPxC+N/jb4V3UPjy1ubjwVY6i0EN5fWMUrQXKvKjW6X6RNuVXi27mZXb5VbdX2Z+zz+zf pnwT1TRhr3gO3YXEd02o6xNZxSTWNx5sT2o82Cedo2X/AEj97+6XYybn3J83zV8Qvid8RviB4M1b 4T+D7Pw/N4S8R31xepaMjXDaTZwXCeTAr7PL+/b/AHf3srMdqorfe9zLMTQWJ9lgoRlSp8vLKX2V 9qUfPS+y0MZR928z458y42xzedcJoF5IpvINPdmXam3duX7u7+L5v/Ha+4P+CY/iXVrn4xeH7QoZ LddBvrJvJsFTyoPP8z97LFa/O3mrF80sv/LX1bbXyl4q+F7eCfFWoeHL3WLjT4dNZbO5upLKSKSd pVX/AEfysbVZWaT5p3i3f7O3j6w/4JbWbad8Ure6VI4jd6bfQn95++ZXlRl81dx+b/RT/d/h/wBn d9lxPVpV8mqyhr7v6GFD+IfrDRRRX8untBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FIeaWoZo1mjZSWCsu35W20AfBvibwPp/7N+i63daNpd34v8ADGs6usuq6jrSpLoqPLFb/a7qezXb 5u57WVt0SeVF5vy/d2L8fW2oS/D/AOIVt4i8Pz6H4TstcR57HTIr54reK3W68i3e6RtzM0vzq33d q/M2371fbPx5+GGufDvxrH491Sz1H4g+G4X8jT9I0+9n0aLQlfyFii3QM26232qebu/dfvd2z5Vr w7xx4f8ABul/FbSILubRpvgR4kS8uLbb5Vk/nrcStLYQf8t4pFl8qJkXaq/L93dtr9kyTFxVNyl7 /NH3v73L9n/F91/vZ59WJ3Pwl8aN8JPitb6pqGuR6ve6tIzz2vi3XLxbjSYrmKJZZVZ4pVlg+1QR QLPu3Kn3ty/6rkf2qZfibd/GDxD4T0XXLrQfsOmN4l0OTwm32N7hrm6VHilnZ4hKqyzs/m/w72b+ Jq5H4m/DybVvjF4Ri0vQm0e80K6T7amsad5Sx6ZF9n2Sy2sH+tSLereanyfM2/b8jS/RHiTXh8S/ B+ka/rOval4L8S/DXWb+x1fS7GZ7y6vNOb5ZbeLcirL+68pfPeJv9Vv3ru82saipYPEUsZFcynHb +X+X79vmP448p+evw9+LGr3PiCw034keItS1Xwtbztc32h3FzKqanLBvZLWd/wDe+Xd823zf++fu D9hk65rnxC07xXpNgtj4InmvLODTF1YXVvpnnpLdeREm/cr703NvXdtlRtvzbq+R/ib+xx46uvid FpmiagniKPxFdw3WkzaxqccWoXlvdBil5Lbyt567vKl37l3L5XzV+kP7KH7Ptz8AW07wodSh1e20 3TV1Ga8iM8cU91dvKu9YmleIsiwOu9drMstevxVmGXywKnhpx55x+H+vteupnQhLmPq2iiivwo9M KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBKOKB0rkvFXiqbT5Tpmk2B1jXmj89LJpXh iWLfjfLPsZY84baD8zbG2j5W2kYuTsgPmb9pj4s6F4k8O/F/wNrWpwaffeH7BdT8Pzx30STz38UT Sxp8rt/q5fI/1qL97+LYzL8z/DHUNb1L4hTXV94WuH8Y6Cq6jLYWmm29hqF5PLbu9rbwKuyVV2yv dNvZd371dzsu5u0ez8JfFP8AaGuPHMWmalqKazpT6pOmi6fK97pN5Astmj/xTxtuRts8Sf623tZd v3dvpWk/s5+AfjRp+s6y+r+ItZvte0TS0Nnb+V59qqxJtltri8TdIu1Yv3u9m+98/wA7V+p0auGy ug6L2lGPNp8MtFJfn13scfvSkZGoeLn8TX3hPxh8X7TVb6fQmlWLR1tYFtre4+z7HLokTOZZf4rd nb5WdlXaq7u68DeJrLxJ4o8L2+naZqHh/wCG/ja3uLSx8P3GipLaajH9lTc08qv+7leK3dl/1m+L c396ta/0bw5oHhvSvCVhZTRQi5j0gLqzFIrm6aXcYvN2tF5iM7NE0UjMj7o9u1GWvVfAvw+1b4e2 um6bpniI634Zt9jIdd33V6Mq4by51ZV2fNFtXZ2df4l2fO4zGUfZe5G2/L/Ly+S6O/8Aw5rGJz/x KuvAngrTfCelNqtj4btvD8pgtrS1u4raWCNdNuoo7dWb5ovkf5MbW+7trqfCPg3VfDd9pK29jpel 2Ns9zDPbWdyzo1q8jyxIqeUnzRuy7eyq0vdq1fh/aR2uhz2XkiNrW/uYJS4bfN+9f97Lu+Yu64bd /Fu3j5WFdoK+ZqVrLkNuUWiiiuQYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACHpXn8 t63hLxbrNze6dcz6ZqqRTpqFjbS3LxPGqRtBIqbmVf41wu35pd20/e9Bpu2qi+UDym/8NaFCs1+m syxeGNf1G3le3sY4pbW5nlcJsZlRv3Uzbd/95m+8u592H4f+DY+EviPWvFdjrtvNY7p5l0/WY4oL XTbeXY88cE6p/o8W+JZWVV2tsXd83z1HdeH/APhA/FF3qGpapHpVvHdXWo2jXFo0llJ5m75U2yqq zqp/uLI259rMu/b0As/HGt3NrqWraBos62sIa10u41JkH2lX3Cd9sEqq/wAqbVV28vL/ADP96vV5 5RjZSvF/1/TIOd0rxBf/ABQvNNuLW3trS9u/NlOl65bu0FpYhNvm+UGXz2laWJlb7mzem5W3buk8 P2mreDfHGmaSPsv9lX1rcu1lZRGOKJ4vK3Txq3+qVtyr5Cs3zSb/AOF6euj634g+LMF7Pfx6E+h2 K7rTTXS6F9bzyt8sryxKyfNa/wAH/fVaWoR3nibxtcQ2eoT6YmgQKyywwxuk9xMj/I+7PyogRto2 /wCtX5qmUk9Olvu7foB0d14u0uz8T2Hh+W6VNTvopZreDu6xbd//AKF/461bm6vPPhw1zrf9s6rq UVjcS/2zOlrdQQMhxAq2rPtYsUO+KYfe+6R/er0TivOqJQdixaKKKzAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooApahp9tq1lPaXkSz2s6NHJE/3WWuc8M/adN1a/0aW5a8tIkiub KW4kZ50Rt6tG7N80m1kzvJ3fvQrfd3P15714t4XvNb0jxBrDaLoNx4lsmd4DrVzqiy3HmxM8TJ+9 VPk3R/dRtqu0tb0o88ZEyOy0PULTRfDeqeItSdvPj899Suz83+oZ1cLt/wCWa7H2r7/3maqmg+DN V03S47q21a5sNbuWW61CO8Vbu3luG2+ZuX5W+UDavlOijan3ttZei/D4+NNChu9d1W8JuZYtS/s+ CJLWK1vFaN9xi+bcySx52SFl3Btys3zV1/h3Vr+5vLnTNTtGh1Czjjd7qIKLa5Vi4V4l3s6/d+ZW +7nbuf77XN8t7MZpeH9Fi8P6LZ6dC7yRWsKxK8nLNtAG5v8AarWpAaK5JS5veGLRRRTAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooA474i+Kp/B3hO71C1tZL6+yILSGKMMGuJPkgV l3L8rSsi9f4h0+9Wz4b0s6LotrZtcNeSRp807Lt3t/Edv8P+7VHx1bz3mi26W8H2p11GwlaPbnCL eRM7/wDAVVm/4DXSr0q+b92hhXDeNdcsvB/iDQNX1G+t9NtbqSXTJ5bqZIoRuiedHZmZc7WgKr/1 1au5BqKSBZGUsquytuX/AGamErPURLS1UsbC3061itrSCO2t412pFEu1F/4CKt0gCiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKAP//Z