20221006 14434500 20221006 14453300 20100125 09181400 FALSE TaxLotsPLY 390112.746004 407756.507004 126957.324008 147559.577008 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_Maryland_FIPS_1900 <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[&quot;NAD_1983_StatePlane_Maryland_FIPS_1900&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;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-77.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.3],PARAMETER[&quot;Standard_Parallel_2&quot;,39.45],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26985]]</WKT><XOrigin>-36747099.999995701</XOrigin><YOrigin>-29091499.9999924</YOrigin><XYScale>1000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>2</MTolerance><HighPrecision>true</HighPrecision><WKID>26985</WKID><LatestWKID>26985</LatestWKID></ProjectedCoordinateSystem> Published {EFC048C6-5CED-496A-9A7C-28A27DFB9CE7} FGDC 1.0 150000000 5000 dataset Office of the Chief Technology Officer (202) 727-5660 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator 20221006 ArcGIS Metadata 1.0 D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm DC datasets can be downloaded from "http://opendata.dc.gov". Enterprise Geodatabase Feature Class <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>DC's Real Property Tax Administration defines assessment and taxation lots, often referred to as A&amp;T lots or simply tax lots. These lots are strictly for real estate taxation purposes and normally defined under two circumstances: </SPAN></P><UL><LI><P><SPAN>When property owners ask for their real property tax bills to be consolidated, after they have bought several contiguous record lots; this is called a combine;</SPAN></P></LI><LI><P><SPAN>When part of a record lot is sold, but no new record lot is yet defined; this is called a split request. </SPAN></P></LI></UL><P><SPAN>Tax lots are not determined by survey, and are therefore not official lots in the same way record lots are. These lots are normally numbered between 800 and 1999within a square to differentiate them from record lots on the property tax maps. When a tax lot is established by RPTA, an A&amp;T Plat is generated by RPTA and forwarded to the surveyor’s office. These A&amp;T Plats are not reviewed but simply filed by the Surveyor; they do not comply with the standards required of subdivision plats, and are not recorded. Tax Lots are not normally acceptable when applying for building permits and must be converted to Record Lots through the normal subdivision process involving the D.C. Surveyor’s Office before permits will be issued. The only exception is if the lot does not face a public street. Furthermore, at the time of their creation and platting, there is no review made of tax lots for compliance with D.C. Zoning, Subdivisions or any other ordinances. These lots are simply pieces of property, owned by somebody, described in deeds, for which tax bills are sent and real estate taxes are collected by the city. Some Record Lots also function in this capacity. Geographically, tax lots typically overlay layers such as record lots or sometimes reservations. There are known instances where tax lots do not overlay these types of layers. Up until approximately 1972, A&amp;T lots were only created by the Tax Assessor out of lands that had been previously Record Lots at some point in their history. For a short period of time in the early to mid 1970’s, a decision was made to start eliminating fractional parcels (see definition below) and make them all into A&amp;T lots. The intent was to do away with Parcels altogether and have all properties in the city be either tax lots or record lots. By doing this, they converted unsubdivided parcels into A&amp;T lots where no underlying record lot exists. There is often little or no historical source information about these types of transactions therefore vectorizing them often required vast amounts of research.</SPAN></P></DIV></DIV></DIV> Department of Buildings Property Land Cadastral Lot Square Cadastral DC District of Columbia Land Lot Property Square Washington DC vpmdata tax The Vector Property data was developed with the oversight of the Office of the Chief Technology Officer (OCTO) - DC GIS, Department of Buildings (DOB) - Office of the Surveyor (OS), and Office of Tax and Revenue (OTR) - Real Property Tax Administration (RPTA). This effort was undertaken with 2 primary goals: - Support and improve the daily business processes of the two DC agencies that originate and manage land record in the District of Columbia. - Provide important GIS base layers which will be used extensively by many DC government agencies and private companies. Below are the responsibilities which DC agencies have provided throughout the Vector Property data creation and maintenance application lifecycle. Office of the Surveyor- subject matter expertise, provides access and understanding of source documents, extensive resource support, and assists with Vector Property GDB and Maintenance requirements. RPTA- subject matter expertise, provides access and understanding of source documents, extensive resource and IT support, and assists with Vector Property GDB and Maintenance requirements. OCTO- Assists with Geodatabase and Maintenance requirements, QC and Program Management staffing. Vector Property database and Citrix Support. Project oversight. Air Rights (AirRightsLotsPT, AirRightsLotsLN, AirRightsLotsPLY) - Air right lots are established by RPTA to reflect a party’s right to construct an improvement above an existing area of land that is not owned by the constructor. They are a type of development right in real estate referring to the empty space about a property. These tax lot numbers start at 7000. There are approximately 704 air rights lots. Air rights are taxed in DC. Condo Approval Lots - Condo lots are individual lots for each condominium. The lot numbers normally range from 2000-6999. These condo lots are not geographically defined other than being within a air rights, record, tax or a combination of lots that has one or more condo buildings within it. A condo regime number is assigned to each residential Condo application or Article of Confederation regardless of how many buildings there are at any one site. The Regime number starts with a 1, 2, or 3 depending upon where the condo is located and where they fall in the tri-annual assessment process of RPTA. All numbers after the first are consecutive. RPTA maintains the master list of Regime numbers for residential properties. Commercial condos are not associated with a Regime number and in order to properly track all condos, a unique Regime number was created. RPTA then establishes individual accounts for each condominium unit and assigns a condo lot number to that account. RPTA maintains the master list of Regime numbers and their relationship to approved condos. There are roughly 66571 condo lots and there associations are as follows: 49486 condos were approved for record lots, 16867 were approved for tax lots, 2817 were approved for air rights lots, and 2600 were approved for both air rights and tax lots. The CondoPly layer was created to assist users in visualizing the relationship between ground surface lots (Record Lots), overlay lots (Air Rights & Tax Lots), and the associated Condos. When Condos are approved for ground lots, those lots remain in the production (active) layer and attributes updated to reflect the new condos. When Condos are approved for overlay lots, those lots are killed (dead lots) and archived to their respective history layer. Condo dwellings can also be queried city-wide via the individual VPM layers (active Record lots, dead Air Rights & Tax lots) where the value in the “UNDERLIES_CONDO” field is equal to 1. Parcel Lots (ParcelsLotsPT, ParcelsLotsLN, ParcelsLotsPLY) - There is still land within the District of Columbia that has never been subdivided into either Record or Tax Lots through the two offices that manage land records (OS & RPTA), this land is referred to as Parcels, expressed as fractions (Ex Parcel 117/36). In this example, the number “36” would be the 36th out conveyance from original Parcel 117. The tracking of parcels was started in 1905 when, by Act of Congress, all the District’s unsubdivided properties which were mostly rural farms at the time were given parcel numbers. Their boundaries were also depicted (in many cases approximated), in large books in DOB's Office of the Surveyor. Until the late 1960s, building permits were routinely issued by the city for new construction on Parcels, but today all Parcels, like Tax Lots, must be converted into subdivision Lots of Record before permits will be issued for exterior work. Parcels are only found in the old “County of Washington,” north of Florida Ave and east of the Anacostia River. There are no Parcels found within the original city limits or Georgetown. Parcels are not in Squares. There are examples where parcel land may be physically located in the middle of a city Square, but Parcels are not considered part of a Square until they are duly subdivided by the D.C. Surveyor’s Office. Record Lots - Record lots are defined by the Department of Buildings (DOB) – Office of the Surveyor (OS) - DC Surveyor. They are official, platted, recorded subdivision lots created by the D.C Surveyor’s Office in compliance with the Subdivision Ordinance of the District of Columbia (must have public street frontage, etc.). Typically, these lots are numbered 1 through 799 with no number being used more than once in a Square. Exceptions to this rule: • When the 1-799 range has been exhausted within a square, the Surveyor’s Office assigns numbers from 1200 or may even use 8000 and above • For reasons unknown, 42 Squares have record lot numbers greater than 799 but less than 1200 Additionally, in most case scenarios, a piece of property must be a Record Lot before a building permit will be issued for that site in the District of Columbia, and all proposed Record Lots are carefully reviewed by Zoning Administration officials for compliance with the city’s Zoning Ordinances. Other agencies that review new record lots besides OS are Office of Zoning, Office of Planning, the Dept. of Public Works, Historic Preservation, and DDOT. Record lots are defined only when requested by property owners, normally when they are seeking a building permit. Record lots are recorded in Plat Books and Subdivision Books in the Office of the Surveyor. These documents are bound volumes of historical representations of the locations of property lines, and they include record dimensions, though typically no bearings of lines. These lots are located within squares, which usually correspond to one or two city blocks. Certain record lots can also be classified as “of-lots”. An "Of-Lot" is the D.C. Surveyor’s Office term for describing “Remaining/Part of Original Lot X” In the record lot feature class, if a domain value of 1 resides in the “OF_LOT” field, you can assume that at one time the original lot was modified. Typically, any of these of-lots will also have a tax lot overlaying them since it is a piece or remainder of a Record Lot. Tax Lots (TaxLotsPT, TaxLotsLN, TaxLotsPLY) - RPTA defines assessment and taxation lots, often referred to as A&T lots or simply tax lots. These lots are strictly for real estate taxation purposes and normally defined under two circumstances: • When property owners ask for their real property tax bills to be consolidated, after they have bought several contiguous record lots; this is called a combine; • When part of a record lot is sold, but no new record lot is yet defined; this is called a split request. Tax lots are not determined by survey, and are therefore not official lots in the same way record lots are. These lots are normally numbered between 800 and 1999 within a square to differentiate them from record lots on the property tax maps. When a tax lot is established by RPTA, an A&T Plat is generated by RPTA and forwarded to the surveyor’s office. These A&T Plats are not reviewed but simply filed by the Surveyor; they do not comply with the standards required of subdivision plats, and are not recorded. Tax Lots are not normally acceptable when applying for building permits and must be converted to Record Lots through the normal subdivision process involving the D.C. Surveyor’s Office before permits will be issued. The only exception is if the lot does not face a public street. Furthermore, at the time of their creation and platting, there is no review made of tax lots for compliance with D.C. Zoning, Subdivisions or any other ordinances. These lots are simply pieces of property, owned by somebody, described in deeds, for which tax bills are sent and real estate taxes are collected by the city. Some Record Lots also function in this capacity. Geographically, tax lots typically overlay layers such as record lots or sometimes reservations. There are known instances where tax lots do not overlay these types of layers. Up until approximately 1972, A&T lots were only created by the Tax Assessor out of lands that had been previously Record Lots at some point in their history. For a short period of time in the early to mid 1970s, a decision was made to start eliminating fractional parcels (see definition below) and make them all into A&T lots. The intent was to do away with Parcels altogether and have all properties in the city be either tax lots or record lots. By doing this, they converted unsubdivided parcels into A&T lots where no underlying record lot exists. There is often little or no historical source information about these types of transactions therefore vectorizing them often required vast amounts of research. Reservations - U.S. Reservations are lands acquired for use by the Federal Government after the original founding of the city. These were all acquired by the Federal Government through purchase, condemnation, dedication, or gift and almost all of the U.S. Reservations in Washington are under the Jurisdiction of the National Park Service. Unlike Appropriations, U.S. Reservations are found throughout the city. The National Park Service also has information for every U.S. Reservation and Appropriation in addition to DOB Office of the Surveyor having some detailed information on transactional history. It should be noted that RPTA has converted some reservations to tax lots for land tracking purposes however the federal government still maintains ownership in many of these cases. Squares (SquaresPT, SquaresLN, SquaresPLY) - Squares are calculated by the outer extents of the record or tax lots within a defined area (typically a city block). There are roughly 4896 active squares. A Square is similar to a city block. Squares were numbered starting at 1 and are currently in the 6000 series. Not all squares are active. A common cause of squares becoming inactive has been through street closing and combining squares. When the squares are combined usually the lower square number is killed and the higher square number is used for the combined square. For example if squares 1 and 2 are combined, square 1 is killed and the combination becomes square 2. Spatial Location of Squares Each Square is an Island, alone unto itself. There is not now, and has never been, any citywide Survey Coordinate System in D.C. Most squares are unrelated to other Squares by “Measured.” They are related by Record. Street width is approximate. You cannot rely on the published official street widths to set up property lines or determine right-of-way. There is digital scan information available from DDOT regarding Right-of-Way. Some Squares are divided by streets. That is, the same Square continues on the other side of the street. Since there is no citywide Survey Coordinate System, squares were placed in their approximate location. This process is known as “best fit”. Appropriations - U.S Appropriations are lands set aside at the time of the original founding and platting of the city for use by the U.S. Federal Government. The White House, for instance, Treasury Building, Ellipse, and Lafayette Square all sit on Appropriation No. 1. D.C General Hospital is on Appropriation No.13 (with the consent of the Federal Government). Appropriations are often confused with U.S Reservations but the two terms are not interchangeable. There are 17 U.S Appropriations in Washington, D.C., all of which are located within the limits of the Original City and, by definition; there can never be any more. OwnerPly - Is a single polygon feature class that is built from various polygon feature classes of the Vector Property Mapping Program. The purpose of the layer is to represent all lands that are outside right-of-way. The Office of Tax and Revenue maintains a database known as Information Tax System (ITS) that contains the accounts for the real property taxes. ITS records reference record lots, tax lots, parcels, condominiums and federally owned lands such as reservations. Information from ITS is conflated to OwnerPly features by SSL (Square, Suffix and Lot). This ownership layer has a point for all properties including condominiums and un-taxed federal properties with selected tax assessment information attached as attributes. NOTE: the OwnerPly does not include condo records. These can be found in condo relate tables. This layer is regenerated WEEKLY with an automated algorithm using the latest Pubic Extract information for attribution. In March and September, the ITS Public Extract file is frozen for 4-5 weeks for processing during billing periods. AlleyLns (AlleyLN, AlleyPLY) - Alley widths/ street frontages were captured during the vector property effort and reside in their own feature class. 99% of the time, these features should be coincident with the square boundary. The exceptions to this are internal alleys that might be overlaid by a tax lot. They were captured largely to enable continuity within each square. Alley Polygon does not exist. They could be created with this data by using an automated routine which searches linear feature of the Record, Tax and Parcel Lots feature classes where Line_Classification = 3, 4 and 6, then turning these selected lines into polys, another method would be clipping a square boundary with the tax and record lots. Building Restriction Lns - These are lines beyond which property owners or others have no legal or vested rights to extend a building or any part thereof without approval of the proper authorities; ordinarily a line of demarcation between public and private property, but also applied to a building restriction line, when recorded in the records of the Surveyor. Highway Planning Lns - There are lines that occurred on the city’s 1901-1905 set of master plans for all proposed roads. If a highway planning line crosses a particular property, that land cannot become a Record Lot by subdivision, even if the proposed street is no longer needed or will never be built. However there is a procedure through which a proposed road can be removed from the Highway Plan freeing up affected land for subdivision or development. Public Easement Lns (PublicEasementsLN) - These are not to be confused with utility or private easements. They are often placed after an alley closing for traffic or access. Tax Lots Department of Buildings 2026-04-04T11:31:55 2005-01-01T00:00:00 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This work is licensed under a </SPAN><A href="https://creativecommons.org:443/licenses/by/4.0/" target="_blank" STYLE="text-decoration:underline;"><SPAN>Creative Commons Attribution 4.0 International License</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.0.2.36056 1 -77.114136 -76.910461 38.995977 38.810329 This data is used for the planning and management of Washington, D.C. by local government agencies. Department of Buildings 202-442-4699 roland.dreist@dc.gov Office of the Chief Technology Officer (202) 727-5660 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator Office of the Chief Technology Officer Last metadata review date: 09/13/2022 Vector Property Map QA/QC 1.) Specifications: Projection Parameters: Coord. System - NAD83, StatePlane, MD, FIPS 1900, meters. Correct Extent and Mapping Tolerances: Mapping tolerances implicitly define accuracy and precision of the vector feature datasets. Min X: 389000, Max X: 408000, Min Y: 124700, Max Y: 147900 Precision: 92563.95 (close to 5 decimals of precision) Cluster Tolerance: .003048006 2.) QA/QC Steps Attribute Verification - Database Structure, Domain Values, Field Population Topological Consistency - Verified Topology against a list of rules, as follows: Source Checks Squares were reviewed against their respective source documents (Record Lots- Subdivision Plats, Tax Lots- A&T Plats) and checked for the following: - Ensure all lots were captured for each square - Check all lot line dimensions and square footages - Check for missing building restriction lines on original source plats - Check for proper lot bearings - Insure correct units were captured Squares and Lots Best Fit - Check each squares best fit against the 2002 imagery and ground level features such as curb, sidewalk and buildings. Errors found during DC QC process were cycled back to vendor until all correction had been completed. 3.) Topology Checks and Rules ParcelsLn - Must Be Covered By Boundary Of - ParcelsPly SquaresLn - Must Be Covered By Boundary Of - SquaresPly TaxLotsLn - Must Be Covered By Boundary Of - TaxLotsPly RecordLotsLn - Must Be Covered By Boundary Of - RecordLotsPly ParcelsLn - Must Not Have Dangles RecordLotsLn - Must Not Have Dangles SquaresLn - Must Not Have Dangles TaxLotsLn - Must Not Have Dangles TaxLotsLn - Must Not Self-Intersect SquaresLn - Must Not Self-Intersect RecordLotsLn - Must Not Self-Intersect ParcelsLn - Must Not Self-Intersect AlleyLn - Must Not Self-Intersect TaxLotsLn - Must Be Single Part SquaresLn - Must Be Single Part RecordLotsLn - Must Be Single Part ParcelsLn - Must Be Single Part AlleyLn - Must Be Single Part TaxLotsPly - Must Not Overlap SquaresPly - Must Not Overlap RecordLotsPly - Must Not Overlap ParcelsPly - Must Not Overlap RecordLotsPly - Must Be Covered By - SquaresPly TaxLotsPly - Boundary Must Be Covered By - TaxLotsLn SquaresPly - Boundary Must Be Covered By - SquaresLn RecordLotsPly - Boundary Must Be Covered By - RecordLotsLn ParcelsPly - Boundary Must Be Covered By - ParcelsLn TaxLotsPly - Contains Point - TaxLotsPt SquaresPly - Contains Point - SquaresPt RecordLotsPly - Contains Point - RecordLotsPt ParcelsPly - Contains Point - ParcelsPt TaxLotsPt - Must Be Properly Inside - TaxLotsPly SquaresPt - Must Be Properly Inside - SquaresPly RecordLotsPt - Must Be Properly Inside - RecordLotsPly ParcelsPt - Must Be Properly Inside - ParcelsPly AlleyLn - Must Be Covered By Feature Class Of - SquaresLn AlleyLn - Must Be Covered By Boundary Of - SquaresPly Data is mostly complete thru April 2009. The following issues exist in the property data: 1.) Some squares contain COGO linework entered using degress, minutes, and seconds, as opposed to decimal degrees. This causes spatial inaccuracies that grow as the length of the line gets longer. 2.) Not all Parcels that reside outside of a Square(s) boundary have been processed/created. 3.) Not all Reservations have been processed/created. Other 1.) Alleys, Building restriction lines, Highway Plans, and Easements are captured if they were on the source material. Source material is active as of November 2002. It is known that not all of these features were captured. 2.) Street width is approximate. Users should rely on the published official street widths to set up property lines or determine right-of-way (this is from the DC Land Surveyors Hand Book). Likewise this should be taking into consideration when doing certain types of GIS analysis utilizing the VP data. 3.) Some Squares are divided by streets. That is, the same Square continues on the other side of the street. 4.) Not all of the fields are currently populated. The remainder of the attribution will be populated once the servers are returned from the vendor containing the source files. 5.) Efforts are being made to bring all layers current. Validated by source and/or responsible agency Creation of 33 new Tax Lots, Retiring of 28 Tax Lots Creation of 35 new Tax Lots, Retiring of 43 Tax Lots Creation of 126 new Tax Lots, Retiring of 146 Tax Lots Creation of 167 new Tax Lots, Retiring of 18 Tax Lots withheld Recent changes to the Vector Property Layers include the addition of: 175 new Record Lots, 241 new Tax Lots, 144 new Parcel Lots, Completion of the remaining 7 Appropriations,And the retiring of: 4 Record Lots, 159 Tax Lots. Updating of all Metadata. Parcels that have recently been captured include land under the following: Saint Elizabeth's Several WMATA properties Several open park land (bordering Rock Creek) Anacostia Park Hardy Middle School @ Hamilton School Taft Jr. High School LaSalle Elementary School Mamie D. Lee Special Education School Patricia R Harris Education Center Trinity College Large parking lot servicing Trinity College Ukrainian Catholic Seminary McMillian Reservoir DPW - Fort Totten Waste Transfer Station. Creation of 18 new Tax Lots, Retiring of 35 Tax Lots Creation of 26 new Tax Lots Creation of 6 new Tax Lots, Retiring of 65 Tax Lots Creation of 14 new Tax Lots, Retiring of 72 Tax Lots Metadata updated. Recent updates include: - 166 new Record Lots - 372 retired Record Lots - 135 new Tax Lots - 152 retired Tax Lots - 39 new Reservations - 1 new Parcel - Corrections to data anomalies. Metadata updated. Recent updates include: Creation of 5 new Air Rights Lots Creation of 49 new Parcels Creation of 41 new Record Lots Creation of 46 new Tax Lots Retiring of 119 Record Lots Retiring of 45 Tax Lots Creation of 279 new Tax Lots, Retiring of 29 Tax Lots Creation of 201 new Tax Lots, Retiring of 188 Tax Lots Creation of 9 new Tax Lots, Retiring of 117 Tax Lots 1.) Scan all index cards in the Office of the Surveyor The index cards show lot history and indicate which subdivision (Book and Page) or Assessment and Taxation (A&T) plat the lot was recorded. 2.) Digitally image all source material. Plats that were needed and necessary to construct active lots (Subdivisions, A&T etc) were digitally imaged and indexed for easy retrieval. 3.) Build "Comp Sheet" of each square. Comp sheets are a paper representation of each square with lots and dimensional information, lot number, and other specifications. Since each square contains multiple source documents, comp sheets allow staff to see the sqaure as one, pasted together map. This expedited the COGO stage. 4.) COGO Lots. Using customized COGO application, build linear features for each square that maintain much of the attribution seen on the plats. 5.) Post Process the data Customized process to dissolve on duplicate lines, build poly's and point, attach attribution, topology, and other attributes. D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator Creation of 33 new Tax Lots, Retiring of 38 Tax Lots Updated Metadata Recent updates include: Creation of 110 new Tax Lots Retiring of 53 Tax Lots -Corrections to some data anomalies -Approx. 283 of the 800 maintenance transactions completed to bring data current. This equates to the retiring of 614 tax and record lots (these are in the history feature classes) and the creation of 364 new tax and record lots. - 49 new Parcels -Updated Maintenance transaction table GIS Data Coordinator Office of the Chief Technology Officer 202-727-5660 200 I Street SE, 5th Floor Washington DC 20001 US dcgis@dc.gov 8:30am - 5:30pm location Assessment and Taxation plats Assessment and Taxation plats 2006-01-01 Office of the Chief Financial Officer - Real Property Tax Administration map http://ocfo.dc.gov location Assessment and Taxation maps subdivision maps 2006-01-01 Office of Tax and Revenue (OTR) - Real Property Tax Administration (RPTA) map http://otr.cfo.dc.gov/otr/site/default.asp - Appropriations: 10 of the 17 have been captured - Parcels: 81 new parcels. - Air Rights Lots: several additional lots retired and captured - Hundreds of new and retired record and tax lots (retired lots located in history layers) - Improved best fits around Grant Circle, parkland and railroads. 2007-08-31 GIS Data Coordinator Office of the Chief Technology Officer 202-727-5660 200 I Street SE, 5th Floor Washington DC 20001 US dcgis@dc.gov 8:30am - 5:30pm Recent updates include: - 122 new tax lots - 248 new record lots - 128 new Parcel Lots - 10 new Air Rights Lots - Corrections to several data anomalies. - COL feature class now has all the requested fields from John Codd. - Moved 16 Squares: 0393 0078 3113 1832 2850 1067 1080 5598 5999N 1300 3189 1065 1859 1815 1321 1292 2007-11-01 OCTO 30846 EPSG 4.5(3.0.1) RECORDATION_DT RECORDATION_DT Date 36 0 0 Recordation_DT is the date when a feature class were legally recorded. If the affected feature class is never recorded, this value should match the creation date. The initial vectorization has the same creation date and recordation date of roll out for all feature classes. Recordation date is meaningless for the feature classes that do not have a history such as all point features. OCTO NARRATIVE NARRATIVE String 200 0 0 This attribute stores general comments about the feature. OCTO EXPIRATION_DT EXPIRATION_DT Date 36 0 0 Lot Expiration Date OCTO STATUS Status Integer 4 10 0 The status value is always set to 1 which is the only value in the STATUS_CURRENT coded value domain. The value of this attribute is constant for a class. It denotes whether the information is considered current or historical. This attribute is primarily used by applications. 1 Feature is part of active layer OCTO SQUARE SQUARE String 50 0 0 Square value from the SSL identifier. OCTO SUFFIX SUFFIX String 50 0 0 Suffix value from the SSL identifier. OCTO LOT LOT String 40 0 0 The Lot value of SSL identifier. OCTO LOT_TYPE LOT_TYPE Integer 4 10 0 Denotes the type of lot. 1 Record Lot 2 Tax Lot 3 Air Rights 4 Reservation 5 Appropriation 6 Parcel Lot OCTO SSL SSL String 50 0 0 Lot Square Suffix and Lot OCTO TaxLotsPLY Feature Class 30846 OBJECTID OBJECTID OID 4 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry ESRI Coordinates defining the features. COMPUTED_AREA_SF Double 8 38 8 SHAPE COMPUTED_AREA_SF Double 8 38 8 Feature geometry. ESRI Coordinates defining the features. COL COL String 2 0 0 OCTO TAXLOTSPLYID TAXLOTSPLYID Integer 4 10 0 OCTO SE_ANNO_CAD_DATA SE_ANNO_CAD_DATA Blob 0 0 0 SHAPE.AREA SHAPE.AREA Double 0 0 0 KILL_DT KILL_DT Date 36 0 0 OCTO SHAPE.LEN SHAPE.LEN Double 0 0 0 SURVEYED_AREA_SF SURVEYED_AREA_SF Double 8 38 8 OCTO MAR_ID MAR_ID Integer 4 10 0 OCTO IS_REAR_OF IS_REAR_OF Integer 4 10 0 OCTO BLDG_NUM BLDG_NUM Integer 4 10 0 OCTO BLDG_NUM_EXT BLDG_NUM_EXT String 20 0 0 OCTO BLDG_NUM_END_RANGE BLDG_NUM_END_RANGE Integer 4 10 0 OCTO BLDG_EXT_END_RANGE BLDG_EXT_END_RANGE String 40 0 0 OCTO QUADRANT QUADRANT String 40 0 0 OCTO ZIP5 ZIP5 String 5 0 0 OCTO ZIP4 ZIP4 String 4 0 0 OCTO RECORD_AREA_SF RECORD_AREA_SF Double 8 38 8 OCTO CONV_TOLERANCE_TYPE Conv_Tolerance_Type Integer 4 10 0 OCTO CONV_TOLERANCE_VALUE CONV_TOLERANCE_VALUE Double 8 38 8 OCTO CONV_TOLERANCE_RESOLUTION CONV_TOLERANCE_RESOLUTION String 40 0 0 OCTO CREATION_DT CREATION_DT Date 36 0 0 Timestamp for when the record was created (posted to the database). The initial vectorization has the same creation date and recordation date of roll out for all feature classes. OCTO PARCELSPLYID PARCELSPLYID Integer 4 10 0 OCTO SQUAREPLYID SQUAREPLYID Integer 4 10 0 OCTO BOOK_NUM BOOK_NUM String 40 0 0 OCTO PAGE_NUM PAGE_NUM String 40 0 0 OCTO ACCOUNT_ID ACCOUNT_ID String 40 0 0 OCTO IS_THEORETICAL_LOT Is_Theoretical_Lot Integer 4 10 0 OCTO EFFECTIVETAXYEAR EFFECTIVETAXYEAR Date 36 0 0 OCTO CONDO_REGIME_NUM CONDO_REGIME_NUM String 50 0 0 OCTO UNDERLIES_CONDO Underlies_Condo Integer 4 10 0 OCTO CONDO_BOOK_NUM CONDO_BOOK_NUM String 40 0 0 OCTO CONDO_PAGE_NUM CONDO_PAGE_NUM String 40 0 0 OCTO Simple FALSE 30846 TRUE FALSE /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAGQAlgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9QKsQ kR2rv/e4H8v51X+gyfSrFyfLjjjH+cUAV6KKKAEZtoJPQVmMxZiSeTV66fbCR3biqFAEkKmSQDOK tzRphRt5Y44qGxX5mPoKsSMA+TwFXJ/z+FAFe5fhuepx+VNtVLSDnjqff2pk/wB5V9Bz9TzU9qvB bOe1AE9Nk+bavqf5c06o2YhmbsowPr/nFAEFyx6epz/T/H86W3G3cx/hHT/P+eaik/1m3PC/Lz7V YiGIR23Hv6d/8+9AENwxyqk8gZP1PWpYvljY9D90H3/yR+VQEmSUkdSeParQwqoMdAX/AM/nQBWl bdMQOi8D8KnTCRKc55yT64//AFVWj+Z/U/55qxcYVTjoBtA9P84FAFSW48mOWY8lQWwe57fritCz t/strFFvMhRQpdurHHJPuTz+NZzxieS3gb7rybiPUL835ZCj8TWvQAVRvH3TYzwBV7pyay5G3uze poATNGaKKAMm+8JaLqdw093pkFxM2d0jlsnOMjg9DtXI6HH1rQtLOCwjMdvEIkJ3FQSefqSfQflU 1FArIM0ZoooGGa04/uisyr1rI0indjigCm//ACEbr/dj/kaZfE/Ybn/rk3/oJp7/APIRuf8Adj/k ajvv+PG5/wCuTf8AoJoAz/DZP2S6+sf8mqxrRP8AZl7/ANe8n/oJrF8H60Ly41GxMHkzQOwcecj/ ACK7LG4AORvGSQRxjHNbWtf8gy9/695P/QTQBux/6tfpUkn8H+4tRx/6tfpUkn8H+4tADaf/AMu5 /wCun9KZTx/x7n/rp/SgCvdf6lqz81oXX+oas+gAzVqz/j/CqtWbP+P8KALVKRRuX1H50bl/vD86 AIpv9U/0qhmtCb/Utj0rPoAM1lZP/CTSf9ea/wDoxq1ayv8AmZpP+vNf/RjUAa7n9yef4f6Vn+ED /o+p/wDXL+hrQf8A1Lf7v9K53w/rkdjdT2Bgkae6TEbblCEAEk9c5A3cY/h96AOjkbK5rxLxBlde 1IA4AuZAP++jXtz46GvH9e0u4uNd1KSG2kkjNzJhlHH3jn9c1hWTlHRHr5ZOMKrc2lp19UcLdN4m hM7W7WF2CWMSPmMqM/ICe/GMn61Mz+IW8zfNaSMY/kkG7cH467s5A5+oxXTnw/qGP+PKYD/d/GkG g37NtFnMW9AK4vZT7M+p+t0e8fw/zOatRrgvs3M9s1nub5UXDbedvbr0qxq2uJosUTSwXM6SNtLW 6bvLGRy3tyK1Li0ktZTFNG0Ui9VbqKSMlA20kcdj71NmtDVTjJqVk15GBD4005o3kWK5mijl2ysY 3XYoIDEAdWyy4H144OJI/FES6sLMW108izLEXCYXJ7jPUds/41rbirHB28544qW1dvOjG44z0z7i r5m4xjZK3Xq/XUz5YRlKerv0b0Xpp95v33jJLG+tYjpl4xaNTuPy4DhSOx4HI+oYfw8xaf4sOo6H rN4dNu7YQy7PLmOCd21c5xjA655459q9C82QXUGHYfu36E+q1Skkc2OpksxPmPzn/ZWvfex+bW10 POdN8ZJdX+nRDT7pGunjK5P3NzDh+OG5HHqGH8OT03izwi+tTae5vri0aNpF2RDcrAxkcjI7nP1V fSr9rNIbqDLsR5i9z61t3H/HxbHDEZbO0E/wms6exUo66nn/AIZuLPQfEc0SeIYrhJbMyHcASmJG k/vHja7Hnoqj3rbvdesZHnRtVtpQQyGOZAEJOVAYZ+7uBB+hxWTqHgTw3/bjXtxZyx2Js5FnuZXf aWchSGJ/vKT+OKzda8M+FdX89I7i2u7pgsEK3lwQpILqkfUcffUAdsjpXRT1mle2phO8YPQ6vQri Sa50EyPFvz8y2sZWH/VPjYT227fxzjivQUPzJ9P8K880G3j0660O0iZhHC3lrGFO0YicYBIyfxNe hJ95Pp/hXPXfNUbOikuWCRkeGid1/wD9esn8xWjd28d5ZyW8w3QzK0brkjKkEEZHsa5rR9ae38QT aYlsCZIGJmedBmMwl2ZUzuyH8tenRie3PWeWWwo65rnNTw5/A+nNNKhlvQJLglv345Jc8/d6ncfz rqtU8GW2p6pbPOLomONtipNhTjC5PHJKuwP19eam0SEa6qvaSQtJuMxhdsOqiQ8njHb1rXs76TUv EGoWMdqyTaYqCYvIoVvNAZCp78Kc/hW1Oate5FSk4ycWrNHN6b4GtNPtdVihF5i4mLSb5skMAHDD jg7mPbsB0FVrH4b6Zp8dr5C3yRuYvlNxkfKFx2yOEX8q76PTbxftH7lP3jbh+9HHygf0rh/EHxEt vDOpHTLuzbzrPYWcTqFb5AeM+xrTnj3M+TyJtQ8FWWoaldXV2l0ZHjjDKsxVCuW4wB0yAfw/Cp9L 0y303T71IEZEmnaZlY5G4uowo7DCjAHTFXfBviaLxr9tmtIo4DDsjaGaYF/4juwO3OPqK1ptNf7L Jbma0Ry5bmTGPn3Y6Uc8R8mpxvi7w5Z6vcRz3DXCyRkoPKl2DG116Y9JHH4+worsr7S21BVCzWi7 Tktuz2+lFYyd3oVGKtqdrCpeZR75NOum3TH0HFPtMLvcnAHH9ar9eT1PNZmgUUUUAU75vmVfQZqt T5n3ysffimqCzADr2oAv2q7YRxjPNMY9c872x+A//VUrHy4eOw4qCbEceB0C7R+P/wCqgCAI8zFl Vm56gZq0qvDCoWJmPdQDxXC+MPANx4u1CzuLbU1sHgABjkieSOUBw5R1DrlGwA2MEjjPPEeqfC3U Na8O+H9OuvEbx3Ol2slvJdQxMftBaAxCTaW4IJ3DJbGB9aAPQ9rbNzIyj3FQM22MFuf4z/T+lcfo Pw7fQPEE1+l+DBJO7pbKZSI0KbFjUM5AG0Asf4nRW4yRXW3THn04A/mf6UAV1GTwMnoB61bm+VT/ ALK4H41DbKWkHp1ouJNwGOAxJ/oKAGRR7zjOAePr7VPcMdjnsSFH4f8A16Zb7Vy5/hGf8/rRN8zI ncdfqaAC1Ulhxx1J9fb+VNnbdtx/F8359P0qZY9ivg5/hH+fx/SoJGEkzHOF9fQUAR27TtfSPHEs scKBOX2kseSB24AX8/arhv44/wDXJJb+8ifL+YyKbpat9lEjY3SkycdgT8o+u3GffNXAxHQ4oAgl mVrdnjdZF6bkYEfpVCrk2nWtwcvCqt/fj+RvzFZj280bHyLosnZbhd3/AI8MGgCeiq32ieP/AFtq zD+9bsH/APHTg0sd9bzNtWZQ/wDck+RvyNAFiiggjqMUUAFFWbNMsSRkY71awP7q/lQBl1csfuvV jaB/Cv5ClGB0AH0FAGa//IRuv92P+RqO/wD+PG5/65N/6Cakf/kI3P8Aux/yNRX/APx43P8A1yb+ RoA5vwdfWk19qkdsNzb2WSb7QXDPG2xwF7FTwR/CNo6Gt3Wv+QZe/wDXvJ/6CaxvC1xcNqN/bvKr wRojKPKVSNwBAyOvB5J6/L3BrZ1r/kGXv/XvJ/6CaAN2P/Vr9Kkk/g/3FqOP/Vr9Kkk/g/3FoAbT x/x7n/rp/SmU8f8AHuf+un9KAK91/qGrPrQuv9Q1Z9ABUsMxhU4Xdk1FVmzUMGyM0AVpM7mwAWyc A8CqGiy6jPp6PqtrBaXpJ3R2771xng59a0pAqyMOetN+X3q1L3XG3z6k8vvKVybziI/L28bRz+FQ VbVF8jdjnb1/CqlQUFZX/MzSf9ea/wDoxq1ayv8AmZpP+vNf/RjUAaz/AOpPPG3+lcdpEljF4ghe RZnvWjaCKQTARJ8pZlK9mwynoN2VGeK7F/8AUkf7Ncro81xHrCxRi18iaPMgmhPmfKH+6/fnt2yc 9RkA6qU52muGVplnuwFVwLqYbmfBP7xvau4k+4tcPGrTS3brLIga5mO3jj943tW1Lcznscg2m6BZ X2o3j3M3nfbVe486ZischJfA+X7vyliewQDoorb8L+INNt49O0+wk89UgVIQ27JQRKykkrwSjKfz 7g0niC+a3uNPs20661QXE6/OIlMUOP43O088ADPqM8VU0ed7rxFplq2iSWvmRFhdpGP9GPkhihO0 egT/AL5HqB31btqTT1S3d/I4qdo+6mt/+CO8QaXqF/q008VjM6PghkGR0HeqkfhjWJELLplyytwC E9/r7V6MlnLGoUXU2B7L/hWppok+zIgkyVLZZhkkl2/wryKmHjfmvufS0c0qQgqaitFbr/meRHwj ref+QVdf98j/ABqSHwnrUcyM2l3IUHJOz3r2TyZ/7/8A45/9emS+bCpYyZI5wUxWHsF3Nv7WqvTl X4/5nN6hHMzwMkM3yqwJCN3x/hTfJmayv1EExaR2KDyzyCBiurUM3TJqnptjfWr3Jurk3IklLRjL HYvYcjjtwOOPeu72jPC5UjjLpxoix3mo5sbRJF3TTjao59fwrS0fxVo+t6lFBp+p295Oqs5jibJC 4xn6ZI/Oq/xd+H8/xC8KrYQO0U8dxHMpY4U7TnB4Pp+WR0JrjPhP8FtS+H/iQ6hdNDPH9nkiDJjc pby+cYHaP9TUqWlge50vi2zk1bwzcW0Kz38zCMpbuhUMQ6nIIA5XG4cjJUDNcFJ4dv8A/Ry2jJLJ byxSRG/lKQWpQ/eHzfMFCqoHGVjjJ9K9S1We60rRpbuBbq+ljVSLeHbubJAJ+6eACWOOcKcc1xGp a5q9zHDbDw5PfG7nSF4rgskcSNuLNIdg6bQvBxu3HoFz6FC6qRd7a/11OKvyuDv2/rozprGRm1bS fMlZ5PO+YKp2Z8t84OOnpXeJ95Pp/hXEw2f2TVtLSNpPIW42opUABRG+OB04rtk+8n0/wriq/Fod lP4Tj9Hura18UTRbZPtdxbMhY3QCbRCWwI85yBt+XAzlm52muukJKcNtJ4zXI6JdCPxJcW729kA8 BPmZVrhpPKk2sQOVATcoJ7Mw43DPXvzt44zWJoeaQ6e32W7ls/MgvZoZY4rnzBsiYghZNuccEK3/ AAE+prAjg1+zs7a1uPFUE2oOgzdtc7TNlxhlXpkD5R6kEn7zY6OS4aHTGZEa9DuYWtIwm7Y5YMTk 9AOD/vDtk1heJdNtLObTLe3s2voQXVGhZhBb7Q3zMq5J3CSTPcguOpAr0kkqSfd+XT8f0fyOGTbq Py9ev4fqdzo+rwX3lPbMkjK8e6SGVG2hiMZweMjPWuK+KHwXvvGniWTUIVjuYJFBCm4ERRtqqQQQ cj5AfxrS8G4t7y5s0smsEeLzpLqZdwlbzX+UlsZbLMSfUnHABrpLi4W2bZ9pibjO5UQf1rmlHmd0 dEZK2ph/C74eyeBzqt5qMcdvdSbVUxzK8ax9WPA4JIGfXArplvvMlk8qISqzkq3mBSR9CKsXkouN ESSSQr5iQuXzg5IB61z8M9vHIG+2OMAn/X+1TTXUqXYw/HF5p95LKlzqN1pstqqRutsd3JdZAMju cBcdyyfQlReIo9TGoXMtto9vqMT7is8jqHZgNqYOfm+UnkgYLMP4QSVsc0t9vzPdCRHZrxzJ/X/6 1V6S41KBpEjaTyWxnbKCh/WlxxntXEdoUyZ/LjY+3FPqret8oX1NAFSpbVd0w/P/AD+lRVcsl+Vm x3xQBLJyyLjPOfy/+viqlw3THO47v6CpJLwrIwCgqDioJGEjZHy8YC+lAElquXJ7AUl0587gkYGO KSa/tNJs2uLu5SGLPzSMeB9cdgO/QAEnisa38WaNqVzFFbalDPNOR5aIGy2VZhjj0jc/8AbuKBXR sLcOpBzuxxzTZJDJjPv+pp32dyoYDIqOgZYt2Cq5BBfHAzUUzBpCOoHFMoBKnI60AW41wgBAyTz7 Y/z+tRw/PMzkcDJ+n+f6Uzz227SB0xUkKkKR/ewPoOc/1oAkb5I1PTALH6//AKzWfcAvA0atsaUi IOOq7jjI9wCT+FXLluvucfl/9c1BCGlv4Y9vyRqZWb3+6o/HL/8AfPvQBpRosaKijCqMAelOoooA ZM22Fz7Vm1cvnwqr681ToAKbJGky7ZUWRfRwCP1p1FAFUaekf+okltvaN8r/AN8nIpss1zZxtJIY bmJBubgxvj9RVyhevPFAFmG+s1X5bqE/7W8c+9Sf2hac/wCkw/8AfYpFlgQADbgcDinfaLf/AGf+ +aAG/wBoWg/5eYT/AMDFL/aFrn/j5h/77FL9ot/Uf980q3EDHA25/wB2gDPWaObULoxyLIMJypz2 NN1D/jwuf+uTfyNStj+0LrGMbY+n0NRah/x4XP8A1zb+RoAx/C2nrCt3OJ7hyWyUll3r87M3AxwB gKB0CgD3OjrX/IMvf+veT/0E1X8N/wDHndfWP+T1Y1r/AJBl7/17yf8AoJoA3Y/9Wv0qST+D/cWo 4/8AVr9KkkP3P9xaAG08f8e5/wCun9Kj3D1qQH/Rz/10/pQBBOpkjKjqaq/Y39qu7h60uaAOE1C4 8YxXlwlppNvJbBnWKZgCeq7WYbwSv3s45IJwPl56rRY7xLGNr4KLphl1QAbeTgHBIyBgHBwSDWg1 JTFYzpv9a/1ptOm/1r/Wm0hl6Nd0AA7jFQfYZP8AZ/OrEP8Aqlp9AFX7DJ6r+dZD2jx+JJWO3H2R B19Xf/CuhrFuv+Q/L/16x/8AoclAFqTiFh/s/wBKwvDek2t09xdOji5tyHSRZGHVSpXGcbcHpjrz W4/+pJ77f6VneE/+PbUP91f50AaM3avEtbkc61f/ADMCbiQ4BI53GvbZP4c9a+e/iZqdzp1n4lvr PR73XbmMysmmac6rcT5faQhPA2hix74Q4BOBXPX+E9rKVzV2vL9UXA03zANLgfeAY/rSrJLnh5D9 GNc1ouivcWmmXU0+sacmEupNJnuBlSUANvMR1Ucggck56VPJ4aWSERvqF3IATgysGPKBMZx6An6m uJ7Jrc+pUY8zT2XU6BppV6vKPqxr0u0D/wDCuGcbv+PMkPz13P39a8c0jQodGkmaKe4l80KCJpCw XGemfrXoEvgyK88IT6pFqWoWl3JYbSsU37rAJAG3sDt5x1zWtNvXQ83HQp+4r2V10Oa864/57z/9 /G/xr0vwAsreGJmfzH/fN8zknsvc14vD4bEKxf8AExvnZFKszybg+VC5IPHHJ/4Ea7fwP4U0vSND j1K81i6txb3WV8yXbGxUKQGA6j5ST+JoouXNsPMoU/YO8uvY6j4nSPHY2RR3jPmN9xivb2rzzzrh lYq95cMuP3cE2GwTy3J6D+o9zXoHxPYNp9gQQQZGII6HivOJI1dSXaNEGAWlcKuT0GT3Nbf8vl7v N5a6/dqcuFX+xfFy766aa+ehnT6pjxBaqNTLR/Z5hxdcEh0H97r979fetFb52bYt47PjcFWck49c Z6e9clJ4H0yPxNbOYpnLQOzrI4ZXKGMKCNuCB/MA1qzeEdLlaJntD5kUKW6yh2D+Wn3VJB5wa5p7 Kx6GHScp8/fpr0XobkclxJlo5nbaccTY554HPJ4PA9Kg/tcf9BFf/AkfT1+grLtfB+l2YtCLHzJL VleGaUsXVxt+bOeT8q9eOKSHwtpcE0cwt/MljwUaVi2MdDz9P1J70m9Fbfr/AMA6oxjzS5tumn56 na+C5pH8S2QaSRhuPDMT/Ca9gT7yfT/CvHPBP/IzWX1P8jXsafeT6f4V20fhPk8z/j6djnfDumxS are35ebzhZSJs81vL6KM7M4zhR/PrzW+5CqCema5H4d2+rQXWvnU5HeN4pTb7p1kATccYAA2/LtG Pb1yT1033PlG70X1rc8k4G1YC33tArKCzNKwTGASSxz2xzzXM60H/s/SpLjxHHGAs0hmVVSO9QDJ +4QcIAQSOfmPcCuktlVrNyZGb5ZM26snz9fkGR/F93njmsPWrfOi6fc22ifaLqJJFh0+Qjdbhwys uVxgMOT6g/3q9OP8F+q7dn8/079Dgl/E+T7918v1L/g6zmjvpJ5NTfVEMTR/ZdoKZ80nzRuJ5/h4 4OCRxit24Wbzn22Em3PGFSsfwQ1+8Wy40z+xIMykfvQTn92RgHsxaT6eXgVuSXkscrKLzgHH3l/w rE2WxqLu/sK0KqC3lW/ytx/CKj3XP/PCD/vv/wCtRI4TQY2MhAXy8MGweGOOao215DMxDXkicZ/4 +Kyp7Gkjzvxg2l/2te/a9fu9LmKzErEnydgWznnBBUZA4QDoAWK2vEP9uNeXH2HS7a+tzvIll8su x4CjJPz5AHXHOR0QElanO1rt+Z7Vc4kkdZAGUn7rjI/Wqn9nwrzFvtj/ANMXKj8un6Vbj1aOTh1F TD7NN907D+VcR2mftu4/uyRXA9JF2N+Y4/Ss+7vyspE0EsIXjcBvX81/wrfazbqrhh71UmsfmLFW U/3l5oAyoZ4rn/VSpJ/unJ/KtRMw2+SMEDO3+lVJtJiuHBkSOXnliMN+fWn3FlKsJFvcyr/syfvB j8ef1oAr9eTRUDNdw/6y3WUf3oWwf++W/wAaaNQg3bXZoH/uzKU/U8frQBNeaba6lp8sN5brcQv8 pjfODnII4PQgkEdwap6boGm6RIzWNlHbu5ydpY5P4k4/CtDJMakHK5yMcipLVS0g9Byf8/lQItSH yoT7DAqlEu5wo7mrF43yqvqc0y1HzEnoo/n/APqoGLMiBWYDGDtH161Cse/oeetSXDHagxgkbiPr ToVxGxx1+X/E/wBaAIMbTz9atRgq7nso6evH/wCv86hi/eXGcd8/Spo8FQSfvEufoP8AIoAhn/1g X+6Of5mpLFXZppH243bE2+i8HP8AwLf+GKrSTCNZJSM7QW2+p64q/Z25tLWOIv5jKMM5/ibufxOT QBNRRQTtBJ6DmgCheNumI9OKhoZtzE+vNFABRRRQAUVQXXLKTWpdJWVjqEcQmePYcBTjHzdM8j86 v1coShbmVr6/ImMoyvyu4UUUVBQUUUAZ4oAjt/8Aj7ufon8jRqH/AB4XX/XNv5UsIK3lyCMHEf8A I0mof8eFz/1zb+VAFHw3/wAeV19Y/wCT1Y1r/kGXv/XvJ/6Car+G/wDjzuvrF/J6sa1/yDL3/r3k /wDQTQBup/ql/wB2p2mddgBAGwHpVGGF1YPuypHrVuT+D/cWgBfPk/vD/vkU9Z38lskZBHaoacv+ rl/4B/OgBfOfuFP/AAGl84/3Iz/wGo6KAJY2Ekiq0UeD6CoWXmnxHEqfWkf/AFj/AO8f50AVms1Z i28jPtTfsK/3z+VWqKAI1Xy1C5zilpaSgArFuv8AkPy/9esf/oclbVYt1/yH5f8Ar1j/APQ5KALL 58k+m3+lZvhX/j11D/dX+dab/wCpb/d/pWZ4V/49b/6J/wChUAaMhOFJ615vceH7O7vr6WWTEv2i ZRucbch2CkjuOBn1r0iT7q/SuGVf9MvD9lST/S5vmJUZ/et7VpCKk9VcPaTpawk16aHO6l4fksbO z8q0XUb5pFjuVt38tFU7iXC9gBtHpk56cUzQNJl1Ce3j1HQrmwjZmElwbhQqAISDgnIy3GD06Hmo rqSybw9pzWuq3C2v2wBby45klOGJjIwMAfe5yPlyeMip/BrLJf2Yj1ZtXKuytCyFQhEP+qJPAx97 5/mymM5zXVWw8I1JJxW/a34dPQzpY3EOEWqj2X2r/j1Oj/4QvRf+e7/+BC1jeJviFo2geHZNLiu5 ITE7WrrPCT5iK7hijdGGcDIrsZ5jbqGbTo8E44dP8K4Tx9460xNB+zX2n3lt5dywQSW2+OQLI6ko w4xuIx69a8/ERjTheOh7OAnUxVeMKt5q/f8A4c5H/hK9L2O3mNlUMm0oysVBUEjOM/eX65rtfCOs aN4q0I6K1xewTvdSMvkx7Vban9/kFePxxg8E1w0niiy8tyYLncqGTZLbldwBUcE8cllwO/4V6N8M fF1rdaWdPjsbtGkuJNk3kjyeFBJ3D6Y/GvPoy9/c+izKn/szfI/v/wCAavxMTy9N09MltrkZPU4U V50zDlWSORDglJEDLkdDg9xXo/xQ/wCPGx/66N/KvOs8jDwxnepYzQmQFOdwAHQnjn26iujV1laX L566fdqcOFaWC96HMu299fPQzL7wbJq9z/aiPfwS7DCJ4M7MZzjGOucH8BTrXwpcW0kMhudQeRGD MMnY/BGCvpz+grum1tdA+G4vDG0iLdbdikZ5JFctD8VIJJADZT4/3lqI4eMkpXIq5vVpzlSUVZaG Za+Dfs8xffdzOyhSpGPu4O4AdD0z+HoK2vs1x/zwc/8AAK4PVfiJ4bj1K/Mg1eNpJv3wiZF+Yu2B uAzt3bs+oQZ4Va6HQPH+n6bosSWcd5cWe9vJkluFaRwSSSVH3cE4A9PpW0cIuVtPb+vmcks8qSkl KP5nbeC4ZF8TWRkjaMZfBZcDOxq9YX7y/SvGvBPjePXvFenWqQTxHc7FpHBHEbV7Kn3k+n+FaQjy Kx52IxDxE+dqxj+GfvX/AP16yfzFarfdX61leGfvX/8A16yfzFazjGB71ZynkMmpWsTy+dLGjB2L k8AcnvWfrJuNStYZNK1pNPjjLGXEe5ZgV4+cc8ZB9uD1qPVvD5v47/7Q8LWTeYXh8l3JTJ+XAPPF cxf+DtH0K1t794FlhMe2KNhINode6M/XBx7dei5BT9vG9Tl93VXsnrbbX890elKOWyioucubR21W l9en/DnRWbPY30Et1ryzQ+UyywTMcPIdgDLnoBtPHq59eNyz1jTJN586KYcfcw+PyrzvSND0jxJM unQrtEbS4W4WRV3fu3OPmOch1II4ABFdlp/gWXTY3SGa1jViCcI5zhQo6n0Uf5Nc16/VI6eTK7e7 OT+X/APUIZP+KdtZI1DDy4WAbgEZNQQ30kzbVt4gfdv/AK1PjRYfC9mk0vlqsUKtImR3IyKpx/2f EwYanLkf9NP/AK1ehSfu6ng1Lc3u7HnXjKawi1q8M+v3mmSsk25LdCVHZmznnGCoyBwgHQAsVt65 qGpJd3n2Sws7+3AciSbZvY4XaMn72VCnkD06ICStbrucrjrt+Z6rQrFehI+lFFcZ2k8d7LH0arce sMOHFZtFAG0t5b3H3gM0/wCzxyf6uT8OtYVOWZ06MaANh7WTuA49qqy2sbKVdNoPUEcVHHqksfXk Vbj1ZG4cf0oAypNChzuhzA396Fin6dP0p1vaXlvkiZJuwWZcH81/w7VsA203IOw/lSmzPVHDD3oA 565vXWYia2ljA43R4kX9Of0qzZ3ENzDiGVZGc4wDzj6degrQktT/ABx591qCazguQBJGjlRgbhyP x60AVZiWmbjPPSpWzHCBnoMn6n/JqqNHkjIENxJEvQqSHXH0b/Gi6e8jbDQxzgn/AJZtsb8jx696 ALECsI3ZeuMA+5/yKkkysTlen3R9KqrqEMaxxuzW7tyPOQqD756Y79e1aCbWjBQhk7FTkUAZM0wW a2h2eY0r5P8AsqvzE/mAv/Aq2qz47VpNSkkJHlRKFXPXcTub8MbPzNaFABUN0+yE+rcVNVO+b5lX 2zQBWooooAKKKKAEwM5wN2MbsDOPTPpS0UUAFFFFABSxsFYE9KSigAVxJfXLDptj/kaj1H/kH3P/ AFzb+VLB/wAfdx/ux/yNGo/8g+5/65t/KgCp4VZFtbvfH5gzHgBsdm703xrNs8G6+1pBIl4unXLQ skhLBxE23A9c4xSeGv8AjzuvrH/J6k8Qf8ge/wD+vaT/ANBNS9U0XCXJJStexNoOrX+pLNHPZwW8 kIQFXkl3cg8nKDngnjPBFa7SXTYzHbcDH33/AMKkQny0GeMVFJdJGxU7sj2qiXqw3XX/ADytv++3 /wAKUSXQVh5dthuvzv8A4Uz7dH/tflR9uj9G/KgRLa3AmgDPAgfLKdrkjgkcflWB48ufElvpMDeF bO3uNQ+0LujmClGjwcgliNozgkjJwMDk1pWN9H9n6N/rJO3+21WPt0fo35UAccuq+N5vC8JtNKWP WU1JVb+0Y4kL2nmH5yEYqGKhc4PCsSPmGKrw3HxBhvrNJkW5hMlq08i28KgK0hM6E7+dqEjcAMGM YDb+O5+3R/3WpVvEZgMMM0ASyMVjcjqASPyrFOoR28cX2jUZInZA3zygfj0rZm/1Mn+6f5VwHihW ka2VQpzbr1PuaAOkGrWbdNVz/wBth/hR/a1kFDHVsKRkHzxgj16fT8684urfyrG7NwQlv5DiRkY7 gu05I464zXFatdeGdPcSX32uJN372PyAFmJjAKED+Ep1C8fLwflFMlux72usWUmduqs3+7Ln+lcr qHi0aX4yvS0n2ywGn2xDSShFRvNn807iOSF2Hb9PUmuZvHtc2q3UhjaVpIoFjd13s6bWBwMdGGCe hPHeuk8CxrFfXEYXKR28SpuO48FhnJ74rWdJKnGd3d+WnVb9f67BTre9OHKnpbfVbPbp/kdzMNsb j0Brjvh0da+0eIvt4ka28xfs3mbVUJvbGMdeMfgR3Brrn/1Z/wBys7wr/wAet/8ARP8A0KsSh+ta q2j2YuGtkmXcEx54jAycAkntnHv7GuV8N6hp2pWt3cX17HaXDX90PJ+0hNiidwvGOeAOe/XvXbzI skaqyhh/tDNeJa5GF1q/Xg7Z3H5MayqTdO0kejg6EcS5Upet/T/O/wCB2cIsNQvjFqstg9nGGkhY XIwsiysEPfkx7W4HB3Z64rQs9P8ACenzQy2z6fBNCpSOWOdVZVIAIyB3AH5V5p9nRYfMKsV8syGU Y2Kwbb5ZHXcR83HYj3rnYfGejXG0LNIJGfYIWgYSbs4xtx7VE686dubrruejSymlW5vZtvldnp/X 37Hvc11o06hX1OEjOeLz/wCtUdw2g3litncXtrNaq29Ua6Od2Sck4/2jXiA8V6UsBlWfegIzhdpG ULg/NjjapNWNL8QWOsyyRWxl8yMbmWWIpxnHf/P61k8S5aM6Fk3J76k1byPTtY0nQE0m8Omy2ovx Ext83RfEmDtO0kA89s81n+ENQ8Wx6bqtsmmRrF9hMtvI0kbQ/bedse9GOV2iMvuxhiQuVHHJ7R6V 6Z8Pf+RZm/67t/JaunPmlaxx43CypUuZ1HL1OY1az8Y6jp6za3NZxFVPlWxjhHzLASSxB++0rJ8g OF8t+SGGNPStB0GTR9Pk1R7S11FreP7SgugAJSo3jjIHzZ4BxXB/EnT9Mt4/n0XxDpTyapcuQrlo 7gs65kHYCQ8jvj9OXj0+xS2ukXSNYjDRxgwyyEhxlMAHDAE8bv8AgWccmsp1rSs4o78NlzlSUo1Z JeXr6nvjaH4fvdBOnymC40tpA4xdcM3Xgjnis1fhr4MUgjT0/wDAqSuP8A2MFtpFtcW/h6+gKySk 3V1KMchRnlR8zZHofvfh3x8RLHGSbWX1x5i13UrTim9D5zGU3RrSgnfz/pszpvhZ4HuPmOk2+4nO /wA5iT75I9v0rGt/hpoUOuNbzaNbw6V5bsk0Nwy/NuXaCCepBboO1ctq11ozapdSS65qNrI12GaN E+UNvYiMHPIJVvr5H+wc73gu5hs7C98p9Qu0F3JHuunUAMrEMETPyAHI29gAO1dkaMZQlPm2/V2P LdZqcYW3NG80Pw/4H1zw9faXb7WkvHhn2ylz5ZtpmwM8A7lTn8O9ejaTqf8Aa2n293DBtSUZ2mVW KkHBUkZGQQRx6VxtheJfaxp8LQEo0jblk2spHlvwR3rvI1CbAqqgxnCjArkceVuzudrmpRiuW1vx 1bv+nyMnwz96/wD+vWT+YrWc52n3rJ8N/wCsv/8Ar1k/mK1m/h+tBB5V5cuJmhUCfL+WZN2zdk4z jtmqGswaw9nCbGKFr9gDJ5g/dk7fm27/AHzj9eM10kNw1rYtNK8MUEe5mkkcgAAnk8Vg+JTY/wBl yXV3f3D2V5Os6SRN5gjypCrGCPlU5AI78KeM13RpXpNv77fhf8TklO09Pz/G34FLQ7PxOuoL/a1r ZrZ4ch7bIk/5ZFMj6+dnHontR4mm8T2t8To9lJdWQi3MscaGTf8ANwm8gMSdmc8Bdx64pfAlzpS6 5/xKL+8urgPKHjuGIVSVt945HA2+UwA4JYmvT/OvP+ecf/f0/wCFY+zXc1jPQ4jxVeeMRpVh/YVm rWTWtsJlnjjyJftBEgyzZHyAY7YZj1AFQ+HbXxXd61cRaklstgsUrRuiBQW84iPBBLZMfUHj7p6k iu7uFSTQYxOdinZkqTx87elUYIbCElvtMm7pw7ipjFNalttHlXjXSfDqX142ravdWMq7ixgUhfvg HBAy3z/L83UDH3VWiuj8R2viOa+vP7Jg0m5tmDY+1hST93GTjP3QPvdxz8u2itOWJzSvfb8D1uiv lz/h4j8OP+gJ4p/8BLb/AOSKP+HiPw4/6Anin/wEtv8A5Iqfq9X+U6PaQ7n1HRXy5/w8R+HH/QE8 U/8AgJbf/JFH/DxH4cf9ATxT/wCAlt/8kUfV6v8AKHtIdz6jor5c/wCHiPw4/wCgJ4p/8BLb/wCS KP8Ah4j8OP8AoCeKf/AS2/8Akij6vV/lD2kO59R0V8uf8PEfhx/0BPFP/gJbf/JFH/DxH4cf9ATx T/4CW3/yRR9Xq/yh7SHc+o1JXkHH0qaO8lj6NXyt/wAPEfhx/wBATxT/AOAlt/8AJFQv/wAFGvht HMI20LxUQcfMtrbZ5DdvP/2fXv7cn1er/KHtIdz66j1hl++M1ZW+t7j7wGa+PB/wUc+GX8Wi+LAT kgCytjx6/wDHxU3/AA8R+HH/AEBPFP8A4CW3/wAkUfV6v8oe0h3PsDyIpP8AVyY9s5pklm+MYVxX yIv/AAUW+Ha9NH8Vf+Att/8AJFWYv+Ckfw9j/wCYN4pI/wCvW2/+SKPq9X+UPaQ7n1Y0Yj6pt4xy O3pVdtPttxdU8hv78LFD+nFfMif8FKvhv0fQfFJ+lpbf/JFRXn/BRz4X3FvIi6D4rV5FKAi0th14 /wCfij6vV/lD2kO59P6bGyWodnaRpSZSzdcH7oP0XA/CrVfKv/Dxr4aINo0PxVtHA/0S2/8Akij/ AIeOfDX/AKAfir/wEtv/AJIo+r1f5Q9pDufVO6s6dt0zH3xXzMf+Cjnw1/6Afir/AMBLb/5Iql/w 8R+HH/QE8U/+Alt/8kUfV6v8oe0h3PqOivlz/h4j8OP+gJ4p/wDAS2/+SKP+HiPw4/6Anin/AMBL b/5Io+r1f5Q9pDufSms65aaBZm6vWdYATlo13EAKWJIz0CqSfpxmsrTviFoeq31lZ288xnvSBArx bQx8p5cZzwQsbZHUHHHINfPsv/BQr4Z3ChZfD/iWZQdwWSxtWAI6HBn60yP/AIKCfC6Ft0fhrxBE 2dwaPTrRTnGM5E/XHH04p/V6v8pPtI33PqxIWkGRzTvssn939RXzBD/wUY+GsceP7E8VZ6n/AES2 /wDkin/8PG/hr/0BPFX/AICW3/yRR9Xq/wApXtIdz6c+yy/3P1o+yy/3P1r5kH/BRz4a/wDQE8Vf +Alt/wDJFH/Dxv4a/wDQE8Vf+Alt/wDJFH1er/KHtIdz6b+yy/3aPssn92vmP/h438Nf+gJ4q/8A AS2/+SKP+Hjfw1/6Anir/wABLb/5Io+r1f5Re0h3PpaOPy765BOeI/5GodYmS10m+nlJWOOF3cgE kKFJPA5PHpXzGf8Agol8OPtk8n9ieKcMFx/olt2B/wCnioNT/wCChPw2v9Nu7V9F8VbJ4mjOLa3U 4YEHkXGR16il9Xq/yj9pDufSPgvUIdT0m4uIN/llkH7xdp4D9qu6/wD8ge//AOvaT/0E18p+FP29 vhj4b0p7KDQvFCQ5TaotrdsYBB63Hv8Azq5q3/BQr4dXen3cSaL4oDSQug3WttjJUj/n4o+r1f5R e0h3PsBPuL9K5jxf4kXw2qSmxnvjIdoSBgDnKjuD3YE+gDHtivnxf+Cjnw1Cgf2H4q6f8+lt/wDJ FV5P+Ci3w58xmTRvFSg/9Ott/wDJFP6vV/lD2kO5734f8bReINS+yR6ZeWwMbyLcSMpQ7WVSOmQc sev909Rgnpdo/wAkV8uN/wAFFfh03DaP4qYe9rbf/JFN/wCHiHw4/wCgL4p/8BLb/wCSKPq9X+UF Uj1Z9O2Kj7P1/wCWkncf32qxtX1/UV8q2v8AwUM+HMMO06L4ozvY/wDHpbd2J/5+Pepf+HiHw4/6 Avin/wABLb/5IpfV6v8AKHtIdz6l2r6/qKdGB5i49fWvlj/h4h8Of+gL4p/8BLb/AOSKdH/wUS+H CuCdE8U4/wCvS2/+SKPq9X+UPaQ7n1nN/qZP90/yrgvEm3z7TLlP9HXoceteJyf8FG/hq0bAaJ4q yQR/x6W3/wAkVymuft8fD/UPK8vRfEo2xKh3Wtv1B/670fV6v8o/aQ7nvV0StrMYW82UI2yNmGGb HAPsTXKawdahjVoNKsr0qNqhokUhNo6gsQrbgRtHGD/s8+MP+3J4Fa3mRdL8SQu6MokW2t8oSCN3 +v7dfwrnrr9s3wnNkwzeKIYsf8e5toWQcKMAm43ADaMDPc9yapYer/KRKpDufUyzzJJtHlLbGPLS Cb5/MzjG3HTB6/8A6q6DwRj+0r3Dbv3Mff8A2mr5Vj/bg8FfY5ITD4rmlbdi8Nta+ZHnHAHnY4wf ++jjHGNjwz+3p4B0u8mefSvE826FE3/ZbbcxBOWP78da6K2Gnb3Vtponr56/15GVOquvXXp92h9j v/qz/uVneFP+PW++if8AoVfNrf8ABRL4cFSP7F8U/dx/x6W3/wAkVT0L/goR8OrGC6WTRfFBMgXG 21tuxz/z8Vy/V6v8p0e0h3Pq6Ubo1HtXiuuQmPWr9NykrcSDr/tGuHb/AIKI/Dhgo/sXxTx/06W3 /wAkV5rrH7bXga81a9nTSvEASWd3UNbQZwWJ5/fVhWw1Zx0ierluIpU6rc5W0/VHunlc5yufrQ1s JHV2WNnX7rHBI4xwfpxXgH/DaXgj/oF6/wD+A8H/AMeoX9trwLxjTtdI6/6iDP8A6Ork+p1/5GfR /X8N/wA/EfQHko33hG31waftHQFR9CK+ev8AhtbwNjP9m68R7W8H/wAeoT9tbwMzfLpuvMev/HvB /wDHqPqlf+Rh9ew386PoXbjuv516b8O1MnhuZUG8+c3C89lr4wb9tLwQx/5BfiD/AMB4P/j1bSft ueA7rwi+mHTvEkMrXBl8xbSAjG3GP+PgdT37deuK2pYWupaxZ5mYYyhUo8sJpu57H8R1FjCVMfif TfM1W5bZIfNjmy6/Oh/hDfwDsMVy6ov2W6Ty9dGY4/3Vwd27JT7p5wx7+mW6Yry/xV+2t4MvbWOO zvPHMB+1yzSR3NpbOvzEEhG+0ZCjGFHYHv3xT+2D4O8maPz/ABlMrqo/fWtvuXBXLKRP1OD9N3tX PPB4hydoM9bC5hho0YqVRX+ff0PqHwHZgaPDMLHU48SS/wClXco8sZ287cD5j6cYy3HHHSz48lv3 2fyr5d8M/tseAdL0yKOa18Y3sqs7Ylhg8rnHIH2j2OB23e1asv7d3w/aNgNF8Rg/9etv/wDH676W FrRgk4nymPxFOpiJSjK6/wCCeqXAvW1V1XwpDdRtdBftHlfMyl+ZcngnCg++/wBFbO74buJ7vQY5 bjT4tFl+0zx/YojkKqsMMc/xNnJPf9B8wT/tleEG1JrmOTxNCPtAmEX2WEgKGzs/4+Oh+XOP+eS+ rZ2NC/bY8B6TosFkbLxNf7JJJPtE0ELOd2OCTcE8BR39a7Y0JezknHXS36njc/7yLT01ufUehjdr +mjfkea3HHaNz/SvSV+8n0/wr4o0v9u7wBa6tZzto/iPZE7E7bW3zyjDj9/6kV2a/wDBRP4bgr/x JPFPA/59Lb/5Irn+r1f5To9pDufRvh3/AF2of9esn8xWs38P1r5M0j/goR8OrOW7Z9F8UESQPGNt rbdSR/08VfP/AAUS+HHH/Ek8U8H/AJ9Lb/5Io+r1f5Q9pDueofbJY4pxG7SkeZttzIFD8nC8jv0q hq+oamtjCbO2WafC7rWQJIkeVwVGcDjkcdcbe5NfP8n7cXgiRgVg8VWa7ZF8uG2tdrE5IfmbqMj8 hjFUNa/bX8FX9jFDFD4mgkTbm5a2g3PhcEnbcDrzn2Jxzg12Sw9SNFW1bfndfp+py+0TqO+i+X/D n0f4e1bWZLxjqNjbaeillSWDbvIxFt+nJkBH/TNfaun/ALSuP+f6T/vsf4V8geH/ANs7wdp2oedc SeKNQjyxEMltB8oIQbR/pHTKluefmAHGc9V/w3l4A/6AviT/AMBrf/4/XM6NbszojUhbc+t4i7aH bNGwLlYjl84zuYnpRuvfW3/8fr5auP8AgoV8PTo8dnFo/ihbhY4xv+z24AKnJ/5b55BrNj/b68En O+w8Vf8AAYYP/j9VGjVivhYOcH1PWPiBJpC6tef2hc6jDLiTJsOn31znHP3sj5v4dufl20V4DrX7 eli13MdMtNVMJztW6t4Nw5A5IlOflHfPPsBRWns6n8rOaXLfc+QaKKK9o5wooooAKKKKACiiigAq CRphIdqhlxx0qeigCANNjOxc56VLGXKDeAG9qdRQAUUUUAFJk7wB9aWmqcOxOQO3FAEy0lCnPQ5o brVAI1NpWpKlgFFFFABRRRQA+im7qN1VcB1FN3UbqAHUU3dRuoAb/G1JJ9w/Sl/jakk+4fpQAkP3 T+FLL/q3+hpIMbTmkuBut5QNxOxsDHtQNbklFQwsJAdw246fKal2r7flQIWikMY9AaXyR/doAFHy /if507pTfL/2f0pPL/2f0oAkopmz/Z/Sjb/s/pQA6q0rEYweMVNtHp+lRyMqt8wzx6UAQMxVSeDx 0x1qtJLj/lgCcY3YyOlXXZPL4GDg846VTkJJJW5VeO4zjimIm3Fd21Oh6Ljn3qW3JMr854/rTNy7 m5BHHy46f/rp9uQZTtHGP8achIs1Hb/dapKjt/utUFElZk3+tf8A3jWnWeyq0j5A3ZPai1yoy5SK meUmQdq569KkkQfKFaMHIyTjmkihfcpJVl5yB+lLlNPaeQzyU/uL+VKqqvQAVY8tP7i1Yjt4igJi Un6UuUPaFGrtn/qT9aa3k+d5ZtwT13Y4qdUWNcIu0egFNImU+ZGbeSLggXEg/eNlWHv29qg8wbW/ fyHgdRz9f8+tbMiJJgOgfHTcM03yIv8Aniv5ClylqokrWKNqytGoEkjHJ+90/wA/41aEO5fvVI0a qoATC56LTdq/3Gq0ZSfM7lGRIlchomY7sZx39f8APr71LHEqqoSIorHkL296JDJ5jYkAGeFJ/T+X 606MNwWcMOeFHB56/lVozHqgSSM5PX+lW6qr/rI8DHP9DVqoKI4er/Q1JUcPV/oakpAZ/rxu68Yq ObGwZj3D+76flVgfc4ALdsimyb/LAUqj9z0FX0J6laDHmcQ+Wefm/L/P4VZZiO9OhVusjK3so+n/ ANf86lwn939KkYdYAcDOBzj3poQnvTmH7nAHp/OovLI7NQMq3UcCu3mbyf8AZ+v+NFOmS4LNsZQP 9r/PpRTEalFFFQMKKKKACiiigAooooA+of2O/wBl3wr+0Jo3iW78RahrFlJplxDFCNLmijDB1Ynd vifJ+UdMV1+l/AP9lnWtStNPsvilr9xe3cyQQQrPFl5GYKqjNp3JArxD4E/tReKv2e7DVrTw7p+j 3sepyxyzHVIZZCpQEDbslTA+Y9c1xvwe/wCSueCP+w5Y/wDpQlccoVHKTcrLobqUbJW1PsD4gfsi /s8fC3ULax8VeP8AxJo13cxedDFNcwkumSMjbanuDS6H+xn8DvHfgvXNf8H+M/EmtwabHKGkS5gC CVY94Ug2wPQr09a5X/gpl/yUzwl/2CG/9HPXk/wH/aI8bfDvQrzwD4T0nR9S/wCEkvPLC38chlM0 yLCFRhKijOBjcOp61jGNSVJTUnctuEZ8rR4jRX1voH/BOHxrdWMU2u+JdD0G4mxstd7zvn0JAC5/ 3S31ryz47/sreM/gFFb3usC11LRLiTyY9T09maMPjIR1YAoxAOOoODg11xrU5PlT1MXTkldo8bpy 16v8Bv2avE/7Q/8Abn/COX2k2X9j+R5/9qTSx7vN8zbs2RvnHlNnOOo69q/x0/Z78Rfs+6npVh4i vdLvZtRheeJtMlkkVVVgpDb40wcntmtFUjzcl9SeV25raHmO0MeRSNleh/Ovpzwh/wAE/PiH4z8K aL4hstZ8MRWWrWUN/BHcXVwJFjljV1DAQEBgGGcEjPc18xOcsB6c041IzvyvYHFx3PW/2cfAfw8+ IPinULD4ieI7rw5ZLbqbOW1njiaacuq7MvG4PBPAAr6A+PX7IPwb+DPgvUrubxhrlt4hexnn0mxv 7y323csa8LhbcEjJUYBHXrXxv4V/5GjR/wDr8h/9DFfZv/BT7/kM/D3/AK973/0KGuSpze2ilLR/ oaxtyNtbHw9RRRXaYBRX0v8ACv8AYQ8aePfDsev65qFl4L0eWMTRPqILTtGRkOYwQEXH95gfatLx 3/wT58X6F4dl1rwrrum+N7aJS7QWamKdwOvljLK5HPG7PHAJOK5/b0r8vMaezna9j5WrdHgXxB/w ib+Jzo92nh5Jlt/7SeIrC0jZwqsfvHg9M471d+G3w51T4oePtM8IaZJb2eqahI8UbX7OkaMqM5Dl VZhwhHQ81+jHxA/Zm8UeLP2VvDHwztL/AEiPXdLa3aa4mmlFq3lh921hGWP3hjKjvSq1lTaXccKb kmz8vaK7T4vfCjV/gr44ufC2t3FldahbxRytJp7u8RDqGGC6Kc4PpXuvgT/gn94n13wta674p8S6 Z4KgukV4re8QyTKGGV8wblVCR/DuJHcA8VpKrCKUm9GSoSk7JHytRXvfxs/Y18b/AAftYdTtwvi3 QZf+X/SYXdovlLZkjAJVcAncCV9SCQK8EqozjNXi7ilFxdmNH3mok+4fpS/xNSSfcP0rUkSH7p/C ib/VP9DRD90/hRL/AKp/oaAKj3yo4dt4XGNvUfWo5L63nYHc3IHQ47/41K9qgjJQszdgzf8A1qZ9 kRZBjhSBls+/I6elGti/cvsEWoQQbsAsGx6f0qRdQjZdyoxH+9TbezVt3nDZjG3GKm+wwYwGf6A/ /WqdSrw7EV/dy28wVCMY7iq/9p3H95fyp2qMfOTJ/hrO8hfUnr+tMyNO3v5pZQrMMewqy08gz81Z 9iB9oUdsH+VXpFCsfpTAU3EgXO79KcrGZCzMc5xxUfGOQfzqWLHlkAY5/pQgGmEOuCxIIqnNAoy3 lM59Qef/ANdXVZMDpmomV2zh8f8A6+vT0piGR5fqhXI5b6cYqaBQspGew/rUcaNwXcHjpj34OfpU sGPNbH90U5CRYqO3+61SVHb/AHWqCiSqB+831NXzWfLujR2VPMcN9wH3poRWUW8eFQMQBwBz3P8A XP5VZhYSR5T7vSmq2ZAPLwM43Y9/8/lVlYV5CnA9sU2CHRwqy5NSqu3aoPFQNtVSvJP0qSFcFcjB zSGS/iaa3yqxyeBTqbJ/q2+lSBGsjEgZps0zxsAD+lC/eX/PaiZcsPpViFWYMo3Zz7U5WVzgFs1B /CfrTlfy2BxntUjN/Svhf4v8TaaNS0fwfrus2LsQtzp+nTzxswOCAyqRkHOfTmra/Bj4iq0aj4c+ K+vyt/YtyQM+vyV93fAH4haj8MP2B7rxVpMVvLqOmyXMkMd0paIk3e35gCCeGPevGB/wUm+KJUt/ Zfhn/wABJv8A49XJGtVk2oR203NnTgkrs8BX4J/EcyJn4f8AijAP/QGufT/cq3/wpP4if9CF4n/8 E1z/APEV9p/Br9oz43fG3wb4l8R6U/gnTrbQcmaG8srpnlxE0ny7ZcdB3p3w0/aO+NnxM+Efifx/ aP4Ks7DQBP59pcWV150vlQrKduJSBkMAMnrUOvVV7paeZXs49GfE0XwS+IgL/wDFA+J+h/5g1z/8 RUn/AApP4if9CF4n/wDBNcf/ABFe6p/wUk+KDFs6Z4a4B/5c5v8A49T/APh5F8T/APoGeGv/AADm /wDj1ac1f+VfeTan3PnwfBP4jBSv/Cv/ABQeo/5A1z/8RTG+BvxEkiEZ+H/ikqP+oPc//EV7/wD8 PKPij/0C/DP/AIBzf/Hq9h8RftHfG7w38BtK+Kk0ngmXSdQMYSxjsrrz13syjJMu3+H1pOtWjZNL XzBQpvVM+II/gZ8QocMnw+8UhvfSLk9cf7HtT2+CfxHY5/4QLxQP+4Ncf/EV9t/ED9pD42fDz4Ne GPiNeSeCbrTNeNuIbOCxuhNH5sTSruJl28BCDg9TXj//AA8o+KP/AEC/DP8A4Bzf/HqUataWsUvv G4wW7Pm/X/AvibwfBC2veH9V0RZiRC2pWMtuJNuCQu9RnGR09RWF5re1fef/AAUj1GTUPA3wtvJV US3BuJnC8AFooCce3NfBpI27tqmtqNR1IKTM5x5ZWM+6MbSEPGxOcZBwOeaKvGQdNgore5nYnaRV bBODjNNFxGf4xUMocysQhyBhWA/Gmxq0aDMBZvun1xk80hlyikRiygkbT6UtIAooooAKKKKACuv+ D3/JXPBH/Ycsf/ShK5CvT/2dfAHiHxt8U/D0+haVPqUWlapZXd60OP3EInUl2yemAfyqJtKLbKju j3f/AIKZf8lM8Jf9ghv/AEc9fH9nJPHdwPatIl0rqYmhJDh8/KVxznOMYr7l/wCCjHw38TeJPEmj +JNN0e4u9D0rSGF7fR48uD96x+bJ9CPzrxD9hux0a+/aP8OrrPlHy455bJJj8rXKxkp9SBuI9wO+ K5aM1GhfextUjepYls/2R/jn8T867qWi3kk1wA32jXr9EuJM88rI/mDr/EB1+tfTXi/wf4s0H9gn xFofxEhMut6WhETTXCzt5aXSNC3mKxzgcDJztABHavH/ANq7S/jnqvxs1iG1tvFd1obzBdITRVna 08nA248r5Q/PzZ5z14xXtuj/AAr8fRfsP674W1myvL7xhfJJJHZST+dOVadGVSxJ52gnGeK56k3J Qk2t0aRik5JJn56+DfHXiDwBq8OpeHtXu9Ju4pUlDW8pVXZSSu9ejjk8MCMEjvX3VaeGfDP/AAUG 8F6LrU9zN4a8Y+H5YrXV/IjLJJExy4jBOMNhmQ8lTkMCMGvkP4Q/s++L/jF4wuNC0ixMQsbhYNTv JiPLsMlxl+ck/u3wB1K4r6v+NXxji/YtsfCvw1+HmlIs8SR6pqV/fxA/bULFTyOrSGNgzD7oUKv+ zvX96SVP4zOnom5bHn/7Vn7SS6ckHwp+G88+jeF/DuLK5uraV0knkiO3ylfO7y0K8nPzsPQAn5E9 T+Ffen7RX7PP/DQngjRvi58PtFmttb1S2iuL7RGVUkulbGJF6AyDPJz864PUYPwN5pXgpk9+RWuH cOS0d+vqTVvzamz4V/5GjR/+vyH/ANDFfZv/AAU+/wCQz8Pf+ve9/wDQoa+UfhD4B8S/ETxfaw+G 9FuNXlsZYrm5W3KkxxCRQWOT0r7c/wCCgXwh8Z/E/VPBUnhTw7d66lnDdrcNbbf3ZZotoOSOu0/l WdSSVaF33Kgn7OR+eFev/sl+A7T4i/tAeFNK1CFZ9Ojme9uI26OsMbSBSO4LKoI9Caij/ZL+MUki oPh/qgLHA3NGB+JLYFfZ3xs1PQ/2dPFXwM11tKsdLjhuZrLVZrG3SMtG9skTsxUAuFLl/wDgNOrW VuSGrdxQg95dD57/AOCgHxX1bxP8YrzwgLuaLQNBSFFtFYiOWd41kaVh3Ybwoz0CnH3jnk/2M/it qvw7+N3h3T4LuUaNr13Hpt5ZbiY5GlISN9vTcrlfm64yOhNeqft1fs8eIdQ8dyfEXwrpc3iDRNXt 4nuzpqmZoJERUD7VyTGyKh3DIzuzjIzzH7Gf7NfivxF8UtG8V63ol1ovhzQ7gXvnahC0RuJk5jWN WALYfaxboNpGc8VEZU/q/wAvxKal7UyP2+vBNj4N/aCu5bCFbePWrGLVZI04XzXeSN2x6s0RY+7E 16z8aP8AlHj4A/66WX8pa8K/bV+Kdl8UPj1ql1pcgutM0q3j0m3uEYFZfLZ2dlPceZI4B7gA96+g fiBouoeNP+Cd/gsaDZT6vLa/ZZZYbOMyuFR5I3O1QSdrHn0wT2qZXUKXN3Q1q52Phzw/qUej69pt /NB9phtbmKd4Tj94quGK8+oGK/RL9o74LyftieHfDfi/4eeK7G7t7S3dFsLmRlicsQx5XPlyj7pV h2HIxz8H+EfhdrGufELw14V1i1u/C8muTRpDc6lavGBGzFRKFbbuXKsMg4yDzxXrvxP/AGdfib+y /wCINN1LwfqOsaxaXEKyf214fgliCSBj+6kVGbjG0jd8rbiMHBrWrZzjyytLoRC6i7rQsXHxB+Nv 7LPgW+8Ba3oiW2g6iZ4op9Ria4jAkTa6QTJJsAwC23sSTjk180V+jtn4h8WePv2JfHd78YtN+x3s FpcHT5r63W3mn2xqbaVkwNrGchQcLnjjnJ/N3zj/AHP1FVh5c3NprfoKorW7En8TUkn3G+lJGS2S RiiZd0Tr6giuwxEgYMhIORntTpf9W/0NR2cYhhKg55qSX/Vv9DQBm3Txm5QuJN+3jaflx/jVi1kH lSbCSM87vXFFwrfJsCIn8W7qfpTrfORvKuOeB6YFNkomaYrJtx+tL5jeg64qndmT7R+7O3A3YI7f 41Gsk7Zy/Yt09uPxo5WPmRckZS3zRK5x1NIyxrj9zGfwqrufzMu/ysPkHekmklb5kYhAcYI5o5WL mRNNCSVeIrD2+UfWm/Orku27jpn3NERm2mOQgyLzux8vT/GlfdlclTx83/1qdtAuRbZccSYOc+vH pToY5gpzMSef6f8A1/zp3Pzcr7cdPrTo93HCkfxN07elFguLA23YHcFgOT68VP5i7j8w/Oqnl+Y3 KdM7cng8UscIh27F68Nlunfj8SaEguTyOvlDkdqLZg0jAHJwKgkiEn31+UDCnPXI5p1lCFmZyBv2 4O3p1zSaHcu1Hb/dapKjg+634VIySs66ZVt5CWaMbsbl5PWtGqExby5NhXzMnG/7vWqjuJ7EMbZm AEjNhuQfr/n86tPcNHIwEJOB2PXg1XVpBIMmMLnnHXrVlmy3yEHpnd6c0wIWuOHLLtwcfWpkvE3p 1GTgcfUf0qJ87mycrg/Lj9amhB3LuC5ycbRSsFx08U7g+VLsOeM9OlDRy+TKDJlj91vQYHH8/wA6 npsn3G7cVNwKm2XcpEuRuzg+nPFMuVkaQlZNoOML6VLuYpkLhs8Kx602TOUJO0jkgdD7VdhXId0k cb/8tGzwKXzZC2CgAz1p4+8ckFfTHP50jEhTllzn72OKVh3PvbwOf+NZniA/9fH/AKWrXwUt5H5b Zb17f5/ya+9fA/8AyjL1/kH/AF/PY/6atfBSQrtb5V24OBjnNcmH3n6s2qbR9D7y/wCCf7b/AIC/ FsjkbXx/4CvTv2Uv+TJ/jB/3Ef8A0hjpv/BP8EfAf4uDIxh8YGMf6K9O/ZS/5Mn+MH/cR/8ASGOu Op8U/VG8do+jPhaP7z/Q1JUcf3n+hr1f9n39n3X/AI/eLl07Tlaz0i3IbUdVdMx26HsP7znsv4nA BNenKSinKWxyJNuyPHmf5Wx97nFfdvxSMn/DtXwb0D7rTJ/7bSVteKfh3+x/8NtZm8O6/cZ1ixCx 3P8ApV/MwfHO8xfIH9VGMHjA6Vzn7Tnxw+D+rfs0w+Afh3rX2gWdzb/ZbH7PcgrErszfPKoz17nP NcMqntZQ5YvfsdCjyJ3aJ/2nG/4wK+ER/wBrTf8A0jlr4RkUyMCHZRjHH+f84r9DtA+NX7PXjT9n /wAC+C/iFrYuTpNjaGWzEF4hiuI4dh+eJRnG5hwSOa87+Klt+yYnw68QHwbKW8Ui0f8As0btR/13 8P8ArPl/764p0Zun7ji9+wpx5tU0dH/wUakEfw1+EOSf9VN0Gc/uYK+FZLhBCG3YX/DrX3X/AMFG Fz8NvhCc4xHN2z/yxgr4U8sbDnDKei7envW+E/gr5/mZ1vjGLMr8A80UKoXbyMjq23r6iiuoyNGi iioGFFFFABRRRQAUUUUAFdr8MfjN4x+Dd7fXfg/WP7IuL2NYrh/ssM+9VOQMSowHJ7VxVFS0pKzG m1qj2HxV+138WvG3h3UNC1rxZ9t0q/iMNzb/ANm2ke9D1G5Igw/AivJLO8uNOvILu0nktbqCRZYp 4XKPG6nKsrDkEEAgjpioaKUYxjpFWByb3Z9CWX7eXxistEGn/wBv2s8gTYt9NYRNcD0OcbSR6lT7 5rA0L9sT4w+HLaaCy8a3BSad7iRrq0trh2djknfJGzY6ADOAAAABXjVFR7Gn/KiueXc9F+H/AO0D 4++Fuoa5feGNe/sy61yVZtQk+x28vnOpcqcSRsF5kf7uOvsKyfiV8VPFPxg1631nxdqn9ralBbLa RzfZ4odsSszhdsaqD8zsc4zz9K5KnLW3JFPmtqTzO1rnsXh/9sL4ueD9A07RNI8W/ZNNsIUtrWD+ zbN9kajAXc0JJwB1JJrxby/myTmnsd0n0H8//wBVFEYxj8KsDk3udf8ADP4ueL/g3ql5qPg7V/7H vLuHyJpPs0M+5NwbGJUYDkDkDNejL+3H8b+/jfP/AHCbH/4xXhVFTKnCTu4pjUpLRM91/wCG4vjf /wBDv/5SbH/4xXE/FD48+PPjNa2Ft4x17+2IbF2kt1+x28GxmADHMUa5yAOua4CihUoRd1FA5Sej Z7H8KP2tPiT8H9MXS9H1hL7SIxiLT9Ui8+KH2Q5DKP8AZDY9qv8AxK/bO+KPxO0eXSbzWIdI06ZS s8Gjw+R5ykYKs5JfB5yAwBzzmvDaKXsad+bl1Hzyta5H5PvXrfwi/af+IXwT0mbSvDmrRnSpHMv2 G+gWaONz1ZM8rnuAcHrjNeUUVcoxmrSVyU3HVHb/ABb+M3iz43a1b6n4rv47ya2QxW8cNukSQoSC VG0ZIyM/MSa7j4WftkfEz4S+HYdC03UbXUtJtxtt7fVrczeQv91GDKwX0UkgdsV4hRUunBx5WtB8 0k73PUvjB+0x8QPjdbrZ+I9YUaSjiRdMsYhDb7h0JA+ZyO24nHavKvK96fRVRioq0VYTberEA28C kk+4fpTqbJ9w/SqEJD900513Kw6ZGKbD90/hT6AK8lqJmVnCll6dadHb+UcrgH8f8fapqKAIHgdn 3bx9MUeS/wDfHXPSp6KAK7W7t/GPyoa3dv4x+VWKKAIPs74A3Dj2prW7sck/pVmigCr9lb+9+lOW B1HUflViigCstqy4O4flTvJf+8PyqeigCubdiuNw/KnwwmNiSc5GKlooAKjg+634VJ2pkP3W/CkA +qklmZdyluCc1boyPUfnTAof2Wq7cH7pyM9c1Mtu69CPyqz+lGaAK/2UtnLcn2pyxyKwOV/Kps0U AM/eeq/lSNvKkZXp6VJmjNICsI3OOf0oa3ZuS3P0qzmimBV+yt/eH5UfZW/vDH0q1RQB90eB4z/w 7O8QLnn/AEjt/wBPq18HiBwuNw/KvvXwT/yjV1//ALeP/S1a+Rl+CfxDZQy+BPEhBGQRpNx/8RXH Qkk53fVm9RXUfQ+sv2A4zH8CPi5k54f/ANJXrlv2S/2hPhv8N/g/4l8IeOnunXV76ZpbaG1eRJbe SCOMgsp4ztYetei/sW+D9e8H/A/4qQ69ouoaLLMkjxR6havAzqLZwSA4GRXN/sY+A/h9qHwB8Y+L fGnhax13+x764meaa2WaYQR20chRckf7RAyOTXNNxvUctrrY1V7Rt5ir44/Y4yceF7nPf9xef/HK PHn7XHhPwv8AD+18B/AHR7iwvNRlaLz47V0khLkD90GJaSZicBjnaAMc4xIv7QH7KW44+GM2e/8A xJYP/jtaWhftUfs2eC9RTWPD/wAPLuy1e2VjbzQ6TBG4YqRgN5p25zjPvS5e8ZP1C/mkUfA/7Lvw 4+Bfw0l8YfHlk1DV9SdStg80jGBm58tRGwaWU5yx5Ax7Emt/wmH7Gv8A0K1x/wB+Lz/45XzP8aPj R4m/aA8bnVdVLsC3k6fpdvlo7ZCeEQfxMeMtjLH8APWdN/ZL8MfD3w/Zav8AGnx2ng6e9TzYNB0+ Pz77b6tgNg+uFYDuc8Vq4NK9WTu+iI5ukFod/wD8Jh+xr/0K9x/34vP/AI5XMfE/xN+yxffD3X4P CPh6e18TSWjrp8xhugEmx8py0hX86oWf7Mfwr+LEM1t8J/ig134hRC0ej+IoPJe4wMkI2xD+St74 6182eKfC+q+CvEF9oet2Umn6rYyGKe3lHzKw/QgjBBHBBBHBq6dOMnpJ3XdilJpapH2Z/wAFFIy/ w1+EYz0jm7f9MYK+FfJbGMnH0r7M/bm+I3hjxt8P/hXBoOu2OrTwW0ks0VpMHeFWihUbwPuHKsMH B4PFfHlaYVNUkn5/mRV+MqfZz6n8qKt0V1GQUUUVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFKvWgB 1L/DSUkrbVPOP88VQDF5yfU8UtJ91eBnA6UsLbow7KV/2TQAoQn2pdqr1OaRmLfSkoAd8nrRhPX9 abRQA7anr+tG1fX9aZ9KWgB21fWjaP71NpOKAH7B/eqFXk2ksmPnKgd9ucZqSigCJZXKxExEbly2 P4T6fzqWHMkSsflJGSKMik3e4oAURv5jZb5e1EkZ2Nz2pOPWkf7h+lAEO1j0BP0o2v8A7X5GpIfu mpKAKsiy7D5f3+24cU2JZ8nzBgdsVcooAr7W96Np96sUUgK+0+9Gw+hqxRTAg2n0NJtP901YooAr 7T/dajaf7rVYooAr7T/dNLtP901PRQBX2t/dNG1v7pqxRQBXw3901FDA8bSNnduOeM8VdqOH7p/C gCPa3oaY0JZAoUjA4q3RQBQa2klLCQYUggbeuCMY/U1Ptbj5asUUAV9rf3TRtb+6asUUAV9rf3TR tb+6asUUAV9rf3TRtb+6asUUAV9rf3TRtb+6asUUAfdPggH/AIdn6+Mc/wCkf+lq1dh/aE/aoWGN V+FUDKFAB/sm454/67VW8E/8o1df/wC3j/0tWvI4/wDgoF8Xo0VRfaVhRgf8S5P8a8pU3Nysk9Xv 8jrclFK7toer+JPj5+0/e+HdUt7/AOF0FvYzWssdxMNKnBSMoQzZMvYZNRfsmg/8MS/GEYxxqX/p BHXpP7NPxy8VfHL4N/Ei+8UzWs09jDLDCbaARAK1u5OQOvNedfsn/wDJlPxf+mpf+kMdQ9IuNkrN bFLdO99GfBsiyMo8s4IPP0ojSUKfM5OeMVNH95voalr2DiPf/wBhHwzp+ufHmG/1ODz4NB0241dI 2GQZI9qqcdyDJuHuorp/hbpmh/F//hZ3xx+K0N54h07RZFMeiwSsvmO5wicEEIgKKACBySc4580/ ZZ+Ktv8AB/4zaNrN/j+yLgNp9+SMhYJcAv8ARWCsfZTXpviTXta/Yn+MvibRrTTbTxF4G8RRC4TT L8bre8tGLbADgjcmXQnBBHUcjHDUTc2lu0rfqbxa5Vci+IXhXwJ43+BrfGP4Z6LeeANX8O6rFa3t gly7oWLJskicn7wMkZBXb/FkZANUv2xtSh8d+C/g38QZrdYte8Q6NNFqMkabRK8DRjdj/ekk/DaO 1V/Enxk1v9pafw18KfBnhTTPBXh+6vlZdL00ZVpOSZZGCqNiDc5AXtk5wMJ+2l4o0ePxN4Z+HHh5 vO0jwHYf2b9oPLSXDBPNyfby0B/2t9EE1OKe+v3f8OOTXK2v6Z81YPoaMH0NWKK7jnK+D6GirFFA BRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAU5abThTQCSK7L+7YK3uKSTllB5PX8v/AK9SDpmos5kb 0HFMBabczGGMsQCF7A0/HDfSqOrSfKEHVjmgBv8Aayj/AJZH/vqmnVkP/LJv++qzmpKANP8Atdf+ eTf99Uf2spH+qb86zKKANH+1E/55t+Yo/tRP+ebfmKzqKLAaP9qJ/wA82/MUf2on/PNvzFZ1FAGn /bC/88m/76o/thf+eTf99VmUUAaR1ZD1ib/vqkOqLn/VH/vqs6l+8xpAaA1Rcj90f++q0JPutWCF HFb8n3WoAbD90/hT6ZD90/hTm+6ecUANXeyg5UZ+tRzTPGwHynv3pGuBHGmGUEYzuB6Uy4lRiGDD av3iR2HWnYVxftT/AN1f1o+1P6L+tVRcJzluMZA2nPvStMI9oZ1B7/Kefp+n507BctiaQrnC/rSN cSKRkKaihk8xGKOpXovHSkZssF3oXUDeMU+VCuTfanzjC9cd6esjtkHaKq7xlvnTOfl/+vUodsr8 0YOAWye3tU20Hck858dF/Wk82Tp8tR7j8w+Uf3eevPekjkLvgFGxw+09D6YquUVyeOSR2A+Xn6+l LLMYdu4r83TANRRMdw/hwcA5ByMdaLiR127QJPXgHFKw7hHdmabYm3G3OTn1qaNn3MrqB1wR3FVI 7iYyhXi2KQTvGOParEbnzuTnigSJ6ihqWqttI7TOpHyjGOKRRaqtPeG3RnKblU4wvXrirNZ8zHa2 2QRtuOd3fnpTWrE9iVb8NJswM5wOD61JJM6HG1TxnvVSORvMGZFIJxgfX/8AXU0u1mGAcDB9OaVk A77TIecLij7U/wDdX9ag2jdux82MZpcdeSckn5uccU7INSb7U/ouaT7U/YKKj54wVzxnjr9KP5Y5 GOevWiwXJ/Of0Xmk858E4Xj60wh2UciNs8Ec8UvO5jn5MHK07CuP86TgYTmkMz9cLx9aZtfao8z5 v7+KU53Of4P7np+NFkFz9Hv2a/B9r8UP2H38Hzazb6PLqct1F9ocCQxYud+dhZc/d9R1riP+HbNp /wBFUsv/AAWD/wCSK+FzujVc5lbnoMelJIr4k2t34XHTnrXH9XnFtxna7vsb+0i0k4n6V/Dr9lPx T8KfD+s6J4b+MmmWem6wCLyOTQopWfKFDhmnJHyk9KXwd+yj4n8BeA9b8G6L8Y9Nt/D+s+b9tgk0 KKR38yMRvhzNlcqAOOnWvzNjimjmQsykFstjvwa0vSoeHnf4/wAEUqkf5fxPt1f+Ca9krE/8LTtO c/8AMNX/AOP1HqH/AAThsrOxuJ/+FqaenlRs+64sFSMYGfmbzzgepxxXw9btI08wYEKM7eMVZqvZ 1f8An5+CFzQ/l/EDDtYgvuIJG5W4PuPavrfQ0H7U37Ls2iOWuPiD8O086yOcy3lhjBT3IVdv1jj/ AL1fJEP+rWu9+Cvxa1P4J/EPTvFOmR/aTb7o7izZ9i3MLDDRk4OOxBwcEA4OK1qRcleO62IjKz12 PdvgHYQfs5/AvXvjJqcY/wCEk1lG0nwxbzckbs7psHtlSf8AdjI/jr5Ru5pb+6mubmeWe4mdpJJZ HyzsTksT3JJr1n9ob9oS9+PWsaTINJi8OaJpVt5Flo9vN5kcRJy75CqMnCjhRgKBXklFOLV5S3Y5 NbLZDPKH95vzo8of3m/On0VsZjPKH95vzop9FADKTNIxA61E0nvUgTbqM1VNwBR549aQy1uoyKq+ f70n2gUCLeaMiqn2oUn2kUXAuZo3Cqf2oetL9oFAFvdRmqf2ketL9pFAFvIp+6qS3Ap32ketO4y4 WwKiRvlB/Gq09yGXBPXj/H9KaboCncLF7IEbn2rH1CTdckdlGKsz3wjt2IGSFJxj2zWG155jM2ck mlcLE+aM1W+0UfaKdwsWc0VW+0UfaBRcLFnNFVvtFRteFWwFzRcC7miqcd0WzkYp/wBoouFizRmq 32gUfaBRcLFmnVU+0U77QKLhYtA8it2dtsUhHUAkd65drnAJHJHQVt/bVk8zHbjNK4WLNnIXhy3B z6YqVvumqUNz8pzTmuguTmi4FlI1aMZUHIGcjrxUFwoDABQBjJqqupOFA46elV5tU8xuUb5eM4wP WgRb8lP7i/lS+WrHJUE+4rNW8uJstGyomeFYc1cs5JGY+a6k9tgp3GXI4wsfyqFGe31qveWSXBw7 Pg84DcA06SRtjLG4DZ+UsOKqst63Jmizx2ouIlXT4hIrYbIIPX0P0qRtNt5GO5WB6/KepyTSbmRQ WZTzzihr9I2+Ynkdhn1pX0GKthCvIDZ4Gc++fSnvaxvIXbduJBJB9O30qAanHtAy3/fJpW1KLc3L Y/3TTuhWJDCtvbxqmdu5cZOaluCPkz8nzDp39qy7i+lkCpGRtyuMip5Ll9q7sOd/twOxp3QEsZH2 iPExPy/6s/xcdf8APpVuI/vRxjisxLpvOUGMKpGWkx9046VYjuR5vXPFDYkjTzUUR+aoftIqKK5G 6puUaGazbj7r5j8z5vXkc9an+0is66ukSNiztGFb7y9+elVF6kvYli2mXPlMpB6546/5/KpnhaRy fNwPas9L5VnAMrH5sbce/T/PrVxroMemOKm4yXy/3bKD37k/lTPs5AX94SwI55/zzUf2gbTS/aBx RcCR4WaTIfAx05/z6/nSGFvLYByOSQaZ9o5prXWBRcdi0kDCRT5pIyTg9+KfJGXjkAbYeeRUX2gb lphuhhx7mquKxMtuyyAlyw6jJpjWsnlt+/bPrn6/40G4+dee1Na5+Rue9FwsStbOzKPOIwuPr0/z +NPjjMcZy27nqahNx8457Go5pvMhZd2Oev40XCxe/jTJzz6exqbNYkK+XMhaQsN3y/ka0PtIpNgi eM/M30NSZqhHc/M30NSfaRSuOxbiP7tafuqjFc/u1p/2oU7hYt5ozVT7TR9pHrRcLFvdRuqp9p96 T7SKLhYuZoqr9oFFFwsaz+HLxukkP/fR/wAKgk8K3zdJIP8Avpv8K6yiviP7VxPdfcfvv+puVfyy /wDAjjW8Iah2lt/++m/+Jpv/AAh+o/8APa3/AO+m/wDia7Sil/amJ7r7g/1Oyr+WX3nGf8IfqP8A z2t/++m/+Jo/4Q/Uf+e1v/303/xNdnRR/amJ7r7g/wBTsq/ll95xZ8Haif8Altb/APfTf/E0n/CG 6j/z2t/++2/+JrtaKP7UxPdfcH+p2Vfyy+84n/hDdS/57W3/AH23/wATTY/BOpRrt+0W7e7O3/xN d7Z2c2oXkFrbRtNcTusUcajlmY4AHuSaW9s59NvJ7S5iaC5gkaKWJxhkdTgg+4INH9qYm26+4n/U /Kb2s7/4jg/+EN1L/ntbf99t/wDE0f8ACG6l/wA9rb/vtv8A4mu2q3daTeWNnZXdxbyQ216jSW0r DCyqrlGK+oDKw+oNH9qYnuvuH/qflK3T/wDAjgB4O1H/AJ7W/wD303/xNKvg/UR/y2t/++m/+Jrs 6tWul3d9aXt1b28k1vZIslzIoysSs6oC3oCzKPqRR/amJ7r7gfB+UrdP/wACOAbwbqTMP31tj/eb /wCJpP8AhDdSyf31t/303/xNdtRR/amJ7r7h/wCp2Vfyy+84e68F6nNCUWa2BPq7f/E1RPw71btP Z/8Afbf/ABNejUUf2pie6+4P9Tsq/ll955x/wrvVv+fiz/77b/4mj/hXerf8/Fp/323/AMTXo9FH 9qYnuvuD/U7Kv5Zfeecf8K71b/n4tP8Avtv/AImj/hXerf8APez/AO+2/wDia9Hoo/tTE919wf6n ZV/LL7zzj/hXerf8/Fp/323/AMTR/wAK71b/AJ+LT/vtv/ia9Hoo/tTE919wf6nZV/LL7zzj/hXe rf8APez/AO+3/wDiaP8AhXerf8/Fp/32/wD8TXo9FH9qYnuvuD/U7Kv5Zfeecf8ACu9W/wCfi0/7 7b/4mj/hXerf8/Fp/wB9t/8AE16PRR/amJ7r7g/1Oyr+WX3nnH/Cu9W/5+LP/vt//iaX/hXurf8A Pe0/77f/AOJr0aij+1MT3X3B/qdlX8svvPOf+Featkfv7T/vtv8A4mr58F6j82JbUZ/2m/8Aia7e ij+1MT3X3B/qdlX8svvOIj8GakoI862/77b/AOJpW8G6kc/vrb/vtv8A4mu2oo/tTE919wf6nZV/ LL7zhl8D6htGZLXP+83/AMTUf/CD6v5jfv7PZn5eWyB/3zXe0Uf2pie6+4P9Tcq/ll/4EcLH4I1L b+8ktC3+yzY/9BqQeDNRU5WW2H/A2/8Aia7aij+1MT3X3B/qdlX8svvOJXwbqfVpbYHP8Ltj/wBB p/8Awh+o/wDPa3/76b/4muzoo/tTE919wf6nZV/LL7zhZPBWrszbbu3UYOMM3p/u1LH4O1NV+ae3 Jz/fb/4mu1oo/tTE919wf6nZV/LL/wACOMPg/UT/AMtrf/vpv/iab/wh+pbifOt/++2/+JrtaKP7 UxPdfcH+p2Vfyy+84VfBOpj/AJbW3/fbf/E1FJ4B1ORiftNuM/7bf/E139FH9qYnuvuF/qblX8sv /Ajgl8CamuMXFvwSfvtg5/4DT18E6mrZM1rjGPvt/wDE13VFH9qYnuvuD/U3Kv5Zf+BHE/8ACG6l /wA9rb/vpv8A4mmr4L1JWyZ7b/vpv/ia7iij+1MT3X3D/wBTsq/ll95xDeDNTI4uLb8S3/xNRr4G 1HB8ya2Ykk8M2Ov+7Xd0Uf2pie6+4P8AU7Kv5ZfecMPAt6Oklt/30f8A4ml/4Qi//wCe1v8A99N/ 8TXcUUf2pie6+4P9Tsq/ll95w/8AwhF//wA9bf8A76b/AOJo/wCEIv8A/nrb/wDfTf8AxNdxRR/a mJ7r7g/1Oyr+WX3nBv4G1NuRPbDn++3T/vml/wCEH1Jm5ltcd/mb/wCJ+ld3RR/amJ7r7g/1Oyr+ WX3nDf8ACE6nj/XWucf3m49P4aavgfU9xLzWvPYO3/xPpXd0Uf2pie6+4P8AU7Kv5ZfecR/whOof 89rf/vtv/iaT/hCdQ5/fW/8A323/AMTXcUUf2pie6+4P9Tsq/ll95xH/AAhOof8APa3/AO+2/wDi ajbwPqRkBFxbhO672/8Aia7uij+1MT3X3B/qdlX8svvOFbwPqO5GSa2GDk5dueD/ALPrUi+DdS2j dNb7u+GbH/oNdtRR/amJ7r7g/wBTsq/ll95xC+C9SDE+dbd/4m/+Jpf+EN1L/ntbf99t/wDE121F H9qYnuvuD/U7Kv5ZfecUng3UlUAzW3/fTf8AxNL/AMIfqP8Az2t/++m/+JrtKKP7UxPdfcH+p2Vf yy+84v8A4Q/Uf+e1v/303/xNH/CH6j/z2t/++m/+JrtKKP7UxPdfcH+p2Vfyy+84v/hD9R/57W3/ AH03/wATR/wh+o/89rb/AL6b/wCJrtKKP7UxPdfcH+p2Vfyy+840eENR/wCe1v8A99N/8TRXZUUf 2pie6+4P9Tsq/ll94UUUV5B9uFFFFABRRRQAUUUUAej/ALP/AI20vwD8SrDV9cgsrjSLdWmmW7sx cvuRS8fkg/dlLqoVsgAnJ4zTv2gvHGlfEL4kXms6Fb2drpNyiTxR21mtvJvdQ8vn4+/KJC4LZIOA RxivpT9h74WeD/HPwr1e+8QeGtN1i8j1qWFJ7y3WR1jEEBCgntlmP4mvoj/hnj4Zf9CJoX/gEn+F d8KM501Z6H55jM+weCzGcpU5OcVy9Ld7+p+T1vO1rcRTIFLxsHUOoZcg55B4I9jX0T8dvjH4Q8Zf C3QdB8P2GjW2r6aY4L2S10kQqwZPMkNm/wDyziExcMMAtkEcZz9sf8M8fDL/AKETQv8AwCT/AAo/ 4Z4+GX/QiaF/4BJ/hVxw04ppPc46/FGBxFWnVnSleDutV+J+TVfRnwI+MXhHwb8L9f0LxFYaLcap qRkt7KS50kTBQqGSM3jAfvIvOEYUYJUhieAMfbP/AAzx8Mv+hE0L/wAAk/wo/wCGePhl/wBCJoX/ AIBJ/hRHDTg7phi+KMFjKfsqlKVrp6NdD8nridrq4lmcKHkYu2xQq5JzwBwB7Cvbf2bfgj4R+NU1 3puseKLnR9eEh+yWNvEGM0QTcz5IwMc96xf2qPD+meFfj14p0vR7CDTNNtzbeVa2qBI0zaxMcAdM sSfqTXS/sO/8nCaT/wBel1/6KNckIpVOV66n2GNxEqmVyxVCTg+XmW3a9up1Wqfs7/BLTtYvNFm+ L0ljq1tO9rKl1bqFilRirKxIA4II+8B715p8a/2bPEfwZjg1KWaDXPDVywFvrNj/AKskjIDrk7Ce 3JB7HtXM/G7/AJLR4+/7GDUP/SmSvpD9jLWH+KXgPxt8Ldfka90k2YmsxLljbhyVYL6AP5bqOxye 9aJRqScLWZ51Spi8uw8Ma6zqQ05oyS2dtYtJbX2Z87fBHwLovxI+I2naD4g1tdA024DlrosqlmCk rGrN8oLHuf54rK+JvhnTfBvj7W9E0jVU1vTbK4MUF9GQRKuAeo4JBJUkcZBr039nf4O+BPijrVz4 b8UeItS0nxU1y8NlYWMe5ZkjjZ5CXMbKCNjdWGccV53r/gFoPi/qPgjSZGndNdk0a0kuCNzkXBhQ sQMZPGcCsnH3FoevDExljakedpRivdast/iT69uxx9FfVfiT4O/AX4X64ng/xb4n8RTeJAkf2u+s 0VYLZnUMuV2NgYIbHzcHk1xXjL4A+GfhP8TtP0zxl4s8zwfqEM09vqWkoZLhVUfIJE2MASxA+XcC OeOlDpSRNLOMPWsoxlqm4+6/eS/l7/meUeKPAPiHwTa6XPrulT6WmqQm4tBcYV5IwQN23O5eo+8B msCvvD9qrQfhbqFj4TbxV4l1bTLqHR2GlR2luXW4TC7TIfLbBJ2+nWvGf2Z/gL8Pvjfp89jqXiXV bPxZCJLh9Ns4wEFsrIok3tEVzucDG7PtVyotT5Is48LncJ4L63iINJb2i7bvby01fRnzrXq37O/w r8NfFjxTqGneJvEq+HLe3s2nhO9EaZgQCAz/AC4UZJHUj6E13fir4L/Bnwn4Y8UWknxAvL3xxo1v IPssckcdtJdBWIhUGIl8EbWw3Xjg5AZ+zZ8BPh18btMNlfeJ9WtfF8SS3M+m2kYEaW6uqBw7RFTk uvAYnnpSjTamk7P5mmKzOlPB1KsHOCWnNyu6vrez6eZ8+61ZQabrN/aW10l/bW9xJFFdR/dmVWID j2IAP41TrW8J+F9R8beJNO0LSYPtGo38ywQx9Bk9yewAySewBr6S1j4K/Av4T3A0Dx34z1i/8T7F +1DSI8RWhYZBwI25wQcEk4wdozis4wcteh6GIx9LCSjSleU2r2iru3ey2R8r1v6n4B8Q6L4V07xJ f6VPZ6JqMhitLqbCicgZyqk7iMfxYx717D8Rf2cfDfgC58P+Jf8AhNINU+G2rXsNv9stctfxI6O5 bYEKsAIzz1yQNgr3f4qeHvhNdfAX4d2uu+KdYsvCsOf7Kvre2LTXHyH76+WccZ/hFaxovW/Q8uvn dOLouhFyjN2fuvonp/iv07HwRRVrVY7SHVLxLCV57FZnW3lkGGeMMdpIwOSMdhXqnwC+AT/F59W1 bVdUXw/4Q0VPM1DU3AJGAWKJnjIUEljwoxwcgVhGLk7I93EYmlhaTr1naK/rbueQ0V9O6b8OP2d/ HWrQ+GfD/i3xFpetTOILPUNQiVre5lPCggovU9AdmSQB1ArybWPhfB8N/i6PCnj+6m03TIJsXN/Y oXLQFSUljG05B47ccg8g1bptanJRzKlWcocsoySvZxabXdLr8j07wj8Dfh34P+Eui+Ofilq2qodc Y/YNN0kDds5KsflJJwN2cgAMBya8d+Kdn4Js/Eyp4BvtTv8AQ2t1dn1VAsqTEtuQYVcqBt5x1z1r 7I+M3h/4TXnwb+Gdv4j8U6xp/hyC1xpF5a2xeW5TykGZF8s7Tt2noOtfBt4sKXk62ztJbiRhG7DB Zc8E++K0rRULRSR5OS1p41zxFSU73ejVo2u0rabq2uu+56B8FfgV4i+OGvSWWjrHa2NthrzUrjPl W6np7sxwcKPxwOa9lvPgf+zv4bvP7G1r4qalLrSMY5JLJVNurjgglYJFXB7F61PE2qSfBX9inwzZ 6KfsuqeMJN95dxgK5jlVnfnHXyxHH9Ca+QKHy00la7KpfWc1nUqKq6dOLcYqNru2jbbT67I97+L/ AOybrPgnTYfEXhG7PjjwlcJ5qXunR+ZJEmCdzqm4FMA/OvHHOK8EruvCPxw8ceBfC9/4c0TXpbTR L4OJrNoYpVIddr7S6sUyOu0j1610nwC+AT/F59W1bVdUXw/4Q0VPM1DU3AJGAWKJnjIUEljwoxwc gVDSm0oI76dWtgKM55hUTjHaSWrXmrb9NNzyGt7wInh+Txdpa+KnuI/Dxl/01rT/AFoTB+7wec4r 3/Tfhx+zv461aHwz4f8AFviLS9amcQWeoahErW9zKeFBBRep6A7MkgDqBXhfxM+HOrfCnxpqHhvW UUXdq3yyx52TRnlJF9iPy5B5FJwcfe3RrRx1LGOVC0oSts1yu211/Wh6p+0/8IfBvw58P/D/AFnw Y1+9j4ktZrzdfy7mMYS3eIgYG04lORXgVfT/AO1l/wAkX/Z9/wCxfP8A6TWVU9P/AGe/h94i/Z91 Tx5ofiXVr/V9K09HvrRkEcMN55aNJF80QLKC/VSQfU1pOnzTaj/Wh5mAzBYfA0p4mTk5SlG+/wBt pXZ82UV7V+zX8J/Avxf1ifQvEniHUdK1+eTGm2djHkXCrG8khLGNlXATuRn3rhviR4P0/wAD/FTW /DaXMz6Zp+oNa/aJcGTyw2CxwMZx6CseR8ql0PajjaUsRLCq/NFX2e3ddzjqK+tdb/ZW+Fr/AA50 7xzpHxEvbbwvJcHztR1KD78KmRHWKLy0cymRAoBHQMcHineHf2b/AISfGrw7qcXwz8UasviPTogx j1YAJIT90uvlghSQRuQ/LnkHgVr7GWx5f9vYTlc2pcqdm+V2i9ve7HyRU1j5BvLcXRYW3mL5pTrs z82PfGa+mfDfwi+Aum60nhTxF481LVfEs0gtXu9MTyrGGY8bEcowOGONxJXjnHIryv8AaE+DM3wO +IUmg/amvrGaBbuyuXUKzxMWXDAcbgysDjrgHAziolTlFcx10MzoYmt7CKkm1dXTV13Vz074w/Bv 4Z2HwFtfiB4Dk1aWO51BbWNtQl4Kgur/ACbQeqV8zV9reB/DfhvxP+xPoEHi3xAfDeg2+qTXNxdp HvkfbPMBHGvOWYnjAPQ8GuV0f4B/Bz4zWV5p3w08W6na+KrWEyxWmtD5LgDuRsU89CVJ25yVradP ms421R4eBzSOEjVp4hzkoTkuZptJJ2V2fOXgHQdP8UeNdF0jVdTTRtOvLpIZ7+TG2FCeW54Hpk8D PPFdJ8efh7ofwx+IlzoXh7XV1/T44Y5PtG9HaN2BzGxT5SRgHjswrY+Dfwx8J+IfiBf+EviDrGoe GtUW6TTrOC0iLtLdmXyzEx8twvOOTge9Yfx6+Hdj8KPixrvhXTrm4u7Kw8jy5roqZG3wRyHO0AdX I6dAKx5bQvY9uOIVTHqlGb0je1vdeq1Uutr20OAor6L8P+C/2dtD06w/4SLxvret6lcwxyTf2fat FDblgDgjy2OVzg/Meh4zxXPftGfAOw+Esega34b1eTXfCWvRGSzuptpkQ7VYBmUAMGVgQQB0Ixxy Om0rjp5pRqVlQcZRcr2cotJ27XPFaKKKyPXCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigD6Q/Zt0/443fge/f4Z6hbWmhDUXE6TfZsm48qLcf3qk42eX0 44+tesf2L+1t/wBBmw/Kx/8Ajdc1+xz+0B4D+FHw11XSvFGttpuoT6vJdRxCznmzGYYVDZjRh1Rh jrxXvH/DZ/we/wChsb/wWXf/AMar0qahyK87fM/Lczq46OMqKngozjfRum3f59Tyz+xf2tv+gzYf lY//ABuj+xf2tv8AoM2H5WP/AMbr1P8A4bP+D3/Q2N/4LLv/AONUf8Nn/B7/AKGxv/BZd/8Axqte Wn/z8f3nme2zH/oXR/8ABTPLP7F/a2/6DNh+Vj/8bo/sX9rb/oM2H5WP/wAbr1P/AIbP+D3/AENj f+Cy7/8AjVH/AA2f8Hv+hsb/AMFl3/8AGqOWn/z8f3h7bMf+hdH/AMFM/P343Q+Lbf4oa1H46mju PFS+T9ski8vaf3Mfl48sBf8AV7Og/WvQ/wBh3/k4TSf+vS6/9FGuQ/aU8ZaP8QPjZ4k1/QLs32k3 htzBcGJ49223iRvlcBhhlYcjtW1+z7+0BpXwN+2XE3gi28RatJLug1JrsW8tuhTayKfKc4P1FcEX GNW7elz9DxEK9fKPZwp+/KCXKrRs2vO1rdjjfjd/yWjx9/2MGof+lMlfSn7Jujn4J/Cnxh8VfEam zt7m1EWnQSrte4VclSuevmOUVfXaT0INcpd/tceB7jVZ9W/4UboL6xLM1y15cXUcrGZmLGRs2wJb JJznOea8s+Mn7QXiv42XcX9szx2ulW7brfSrMFIIzyAxBJLNg43E+uAM4qlKFNuad2cdShjcwoQw VSl7OGnM2020uiSvvbdnRfsdzyXX7TXhOaVi8sjXrux6kmznJNcz8SbjU7P9ojxbdaKkz6tbeJ72 4tfs8ZkcSJdO6kKAc4K5/Ct34AfHvR/gi1xdXPga18SawZjLa6nJdCCa1UxlGRT5TnBBPcdTS+PP 2io9a+JGkeNvCXhOy8F61ZNNNLJG6XP2qaXO6WT92mThm6565qbx9mlfW51Sp4r+0Z1I0fccOVNt WbV3qr3s722PUb743fC/4yXcNh8YPBd14c8TKiQPrdjvQpxwzjh1GG4VlkAzXjn7RXwU/wCFH+OY 9Kt746npV7bLeWVy+N5jLFSr443Ar1HBBB46D0e6/aW+GfjK+t/EPjT4Ux6l4viC+bdWl40cFy6g AM6ZAPAAw4fAGMmvI/jV8YtV+NnjI67qUEdlHHCttaWUJJS3iBJC57kliScc57AACqkoyjq7v+tz ly3D4mjiIqFOVOnZ80XJSjfpyat237K3Q9m/bl/5pl/2A/8A4iov+Cev/JaNa/7F+b/0ptqo3H7S ngbx14R8N2fxE8A3HiLW9BtxbQXVrftbpOoCjL7SCM7RkcjOSMZxWd8Df2ntD+CNhdLafDu31DU5 ppsaodQEU4t3ZWEBbyGLAFBznkjOBVc0Paqd9Dl+r4z+yZ4BUW5q63jZ3bd1r+djxLxQxbxNq7MS WN5MST1Pzmvoz/gnr/yWjWv+xfm/9KbavGvjF8QNG+JXiqHVtE8JWvg63W2WGWytJRIssu92aYkI nzEOB0/hHPp6L8B/2n9H+B+hLBH8PbXVdbPmJJrS3wt55InYN5Z/csdoKr/F2FZ03GNS7eiPWzKn icTlkqNOk+eSta60+d7fcyL9iG4s4P2g9I+1FRK9rcpbFv8AnoYj099u8fjXmnxitdRs/it4vi1Z XXUBqty0vmdSTIxBHsQQR7EVe8cfE611j4hWvinwhoEHgM2gia3tNPkV1jlQ58wEIoJJ7Fe3evZZ v2rPAXjmG3v/AIhfC211rxLBGsZv7WRVWfA4LA4IGf4SWA7elC5XHkvsyKixVDFLGxouSnFJxTV4 tNvvZrXWzPmu90HU9N0+yvrvT7q2sr5S9rczQssc6gkEoxGGwQRx6V9LfHz/AJNL+Df4/wDotq8r +Nvx81X4zT6fbNYW+g+HdMXbYaNZH91DxjJOBuOOBgAAdAMnPY+FP2h/CeofCfSfA3xF8H3HiS10 aUvYXVldmBwvzYVsEHgMV4OCMZGRkkeVc0U9wxUcXUjh8ROl70JXcU03ZprrZN6q+p8/V9a+CUk1 D9gXxdBouTeQ6i0l+kJw5QSws5Pt5QUn/ZU18v8AirUNM1XxJqN5o2mNo2lzzM9vp7TmbyEPRN5A Jx7/AK9a7j4G/HvWvgfrF1NZQRapo98oS+0m5bEc4GcEHB2sMkZwQQSCDxiaclGTvs9DrzLD1cVh 4SpR9+MozUX1trZvb9Lnnmk215eapZ2+nrI9/LMkdusJw5kLAIF984xX0p+39Pbv8UtAhyr6nDok Qu3T1MshUH36np0YUy0/aS+Fng/UZPEHhH4RxWXilvmimu7stb274xuRBkLj/YCE+orxdviZc658 UY/Gfiyyi8Tyvdrc3djOQkVwowBF91gq7QFHBwBVe7GLine5zRWIxWLhipUnBU4ysm1eTdtNG1bT dvc9z/aW/wCTavgf/wBeI/8AREVfLNfTXj39r3w1468Cy+GpfhPYW8UNlLaaZK2oLINOZ4yiyRJ9 nGCvykAEfdHIr5lpVnFyvF3Ncmp16OHdPEU+V80nune7b6N9z7A1DSZ/j1+xfoI0RDea/wCDp9k9 jCN0rRxqyYVepJiaNx67GAya+P2UqxBGCOCDXb/CX4w+I/gz4j/tbw/cqvmAJc2c4LQXKDorjIPG TgggjPXk17rcftTfCnxJcf2t4i+Dlnca85LSyRmJ45W/vMSo3Z/2gfxqny1Em3ZnLTji8rnUhTpe 0pybkrNJq+rTTtpfZnkngP8AZ817x18NfEnjZbm20nSNIQukmobkS72gmQRsAeVwB0wWbbnIOPZP BKSah+wL4ug0XJvIdRaS/SE4coJYWcn28oKT/sqa8s+Nn7TWvfGKxt9Gisrfw14WtiDFo9g2VYj7 vmNgbtvYABR1xkZrK+Bvx71r4H6xdTWUEWqaPfKEvtJuWxHOBnBBwdrDJGcEEEgg8YIyhGVlta1x YjD4/F4f2lRLnjOM4wv0j9ly6t99rnnmk215eapZ2+nrI9/LMkdusJw5kLAIF984xX0p+39Pbv8A FLQIcq+pw6JELt09TLIVB9+p6dGFMtP2kvhZ4P1GTxB4R+EcVl4pb5opru7LW9u+MbkQZC4/2AhP qK8bi+KE+r/FRPGvi7T4fFcklz593YXBCRTrt2iPlWCqBgDg4Cil7sYuN73NUsTisVDFSouCpxlZ Nq8m7aaNq2m7e57R+1l/yRf9n3/sXz/6TWVafwFRpf2Nfi2qKXYTTMQoycCCIk/TAP5Vz3xQ/az8 PfErwL/wjr/C2xsWtbRrTS7tr9Zf7OUhR+6XyBjhFGAR90elcZ+z/wDtFah8DbjU7ZtMh17QNUUC 702Z9mWAI3K2GA4JBBBBGPStOaHtL30a/Q82ODxkssVF0rThPmSbWvv826bS3tqXP2M/+Tk/B/8A 2+f+kc9c5+0d/wAl38c/9hWb+der6X+194W8E+IoL/wb8JNH0ePcTdS+aouZUKn5I3Ef7oZIzwwI GMDOR5T8ZfixpnxW+IVv4ntfClv4fTy0F3Zx3AmF3KJHdpXby15YMFOQfujntUS5VT5U7u56GHji 6mYvFVKLjFw5dXF6pt9Ge0+Kf+Uevg//ALCsn/pXdVm/8E9WP/C5taGeP7AmOP8At5tqn1f9szwv qngdvCg+EGnw6Kiubez/ALRVoYJG3HzFj+z4yGdm+pNcn8Af2mtJ+BeiyRJ4BttY1qRpA+si+FvM 0LFD5R/csdoKA9fwrTmhzxfNseW8LjpYDFUPYNSqSk0uaO0nfv0/4Y8Y8SsV8S6qQcEXcpBH++a+ nv8Agol/yUTwv/2Cm/8ARz15XdfGbwpd/F5PF7/DTTTov2YxSeGzcKYZJCCDKX8nG7Jz9zt1rpPj 1+1JpXxx8O/Y5fAFtpWroyCHWGvhcTRRhtxjX9ypAOfWs04qElfc9KpTxdTGYWt7F8sE+bWOnMku +tra2+R0uuf8o/8Aw/8A9hxv/R09eY/sq2eoXn7QHg3+zlkMsV2ZZWTPywhG8wk9gVyPxx3rp/h/ +1Np/hH4S6f4C1XwDZeKNOgnklna+u8LKrSM+FTyjsYFhhsnp0540Lr9q7Q/CGkX1p8MPh7Y+DL+ 9i8qXV5JvPuEBPRMr26jLEZ/h4qrwbjLm2scqpY2nTxOGjQv7SU2pXja0ur1v52sV/Gd7aah+3Nb S2TK8A8W6fGShBHmLLCsnT/bVqzv2stJuNe/as8Q6ZaBTdXs+n20QY4Bd7W3Vc/iRXLfBT4vaX8L fE15reteErfxleSNHNbSXlwI5LadX3+armNzuzjng8Zrf+N37RWn/FjUtO1jS/BVt4U8R2t2l3Jr EV0txPOUULGGPlIfl2rjJP3RxUuUZQd3q3c6aeHxVDGU1CneEKfJzXW+jva9+ltjtvHngf4K/s/3 1r4Z8TaVrnjXxKLdJ724t7k20EZYZAUBh9cc8EZPYa/7U1zpF5+zZ8KptBs5tP0eSVmtbW5k8ySN PLOFZu5rB179p/4e/EOG01bxx8LI9a8W2sIiFzb3zQQTkdN4HOPZg+O1ZvxG/az0/wCJHwv/AOES vfh3p9rPDEEsr23ugI7IgjBih8r5flG3Afp3rRyhaSTWu2h5dLDY+VXD1KtOblCV5NyVtU1eKvtr 2T6anztRRRXEfehRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRXsUnhaG3lklQ SB2ByXfd2A6f8BFYuoaOvIUZNej9T/vfgfmH+u3fDf8Ak/8A9qeb0V1s2hljyufwpv8Awje7+Cj6 n/e/AP8AXb/qH/8AJv8A7U5Siur/AOEZ/wBmj/hGv9mn9T/vfgP/AF2/6h//ACb/AO1OUorq/wDh Gf8AZrW0PwvvhnO3/lp/7KKPqf8Ae/AP9dv+of8A8m/+1PPqK9svPBI/slZj8zIIz0/vrk9O/bHp 6EYOXD4P8zkphP50fU/734B/rt/1D/8Ak3/2p5PRXoE+g3C6hOtnGnHXdwMcU1fDOplhiCDr60vq n978Bf67f9Q//k3/ANqcDRXq2geEvO1WBdYEdvp3PmPHkt0OAMZ74ru7D4b+EtUulg083V1cfe8v 58bQeScj0/nT+p/3vwH/AK7f9Q//AJN/9qfN1FfZX/CHelpOP+2VB8Hn/n2n/wC/dH1P+9+Af67f 9Q//AJN/9qfGtFfZX/CH/wDTrcf9++Kxb+LRdF1GZb+d7e5SMII2iYld3zE8eo2/lR9T/vfgH+u3 /UP/AOTf/anyfRX15o2i2HiGGSawfz4kbYzbCuDjOOasWPgm4aFvtUQWTzJAAo/g3HYeP9nFL6n/ AHvwH/rppf6v/wCT/wD2p8d0V9mf8IL1+TP4UDwN/sU/qf8Ae/AX+u3/AFD/APk3/wBqfGdFfZn/ AAguD9yqWr/DCLWLVYJTNCqvvDRHBzgjH5E/Q4PUUfU/734C/wBdv+of/wAn/wDtT5Aor6zs/g3b WN5Dco8zPCGVUwoXBxngD24Ppx0rZPgc90/Sj6n/AHvwD/Xb/qG/8n/+1PjOivsz/hB+h2fmKP8A hBv9jmj6n/e/Af8Art/1D/8Ak3/2p8Z0V9mf8IL/ALH6VKPAvB/d8/Sj6n/e/AX+u3/UP/5N/wDa nxdRX2LrHgiZdHv2t4g1wLeQxggYL7Tgfnis5vD63FprU32fy0tQ2N5K7gqnkkjjpS+qf3vwH/rr pf6v/wCT/wD2p8l0V9Z+G/Da6g16kdvtjg8sFmdSTIQ+5cA8AALgnru9q1bjwOyo+IwzDoMU/qf9 78A/12/6h/8Ayb/7U+N6K+ubPwXb/YICZnz5S5QSj0HGDXKL4KuHZ3i8OpaRbsom5DITyM8sOOhz 6sRjjNWsDeLlzf195D44s0vq3/k3/wBqfONFfXGg+B1/s3beGKwkEjbY7eYBSufvY7c549APpRqn hP7DJCbO580kNuywfHSo+p/3vwK/12/6h/8Ayb/7U+R6K+rP7JvG+b93uLcnyh64p0ejXbTFMJjb n/V+9NYO+nN+Af67W/5h/wDyb/7U+UaK+r7vQ7uOGUqwyr4GEH97FVIdFvZXIMjYx2AoeCt9r8AX G1/+Yf8A8m/+1PluivqL+xbzzHXzH+U8flVm38N3Mk0QMjkOfm6ZNL6n/e/Af+u3/UP/AOTf/any pRX1XfeDZbadY45JAu3PJ9/p7Vkz+AIbjfLJCGl+YlsDOcdensKp4JLTm/D/AIIv9dv+of8A8n/+ 1Pmqiverjwrq1neNb6bbW1va7OJ5IxgEKCFwD0zkfj7V0PhTwlc3l85uYxvXfjaMAru+UgZOOMda bwK5bqf4ELjh3t9W/wDJv/tT5kor7PXwHuwNmM8dKxPDPh5rq9nCWbwBYl3eaVPzE8qAp7AKcnru 9qj6n/e/A0/12/6h/wDyb/7U+S6K+z77wU19B5TrtViDuj+VuCD17Z6fjXmb6tZ2erXVhFbXUZSR n3LhYmBkYdc/e+UkjrnjrVLAuV7Pb+u5MuOIx3w//k3/ANqfPlFfVln4dSTw/HfRWyxPcIkjsrHc WOAckHn61BHok80i/fAwc/vG9qTwVvtfgNcbX/5h/wDyb/7U+WqK+pF0aZWZSJGwxH+sNLDo7+ZC GSRgXXILnkUvqf8Ae/AP9dv+of8A8m/+1PlqivqfUPCsSzPIIGAmIJXdjDLswQcZ/hXv6+tUIfCa WtvEiQH9xu2SE/MOW74/2jTeDs7c34B/rt/1D/8Ak3/2p8z0V9R2vg9YZlHkM6O0g2M5IG/LNjuM nmrGk/Du2tL6ea2tTA7BWb52Ibjbz7YAprAt/aF/rvb/AJh//Jv/ALU+VKK+sR4fk8uYeUvyu4By 2eGPvSyeHpvMgHlKMseBn+6ff2qvqD/m/AX+vC/6B/8Ayb/7U+TaK+s18PyrNJmFeMcfNx+tc+1g l3bySw3UEgy4jkWUE4yfunPt+lRLBcqu5GlPjR1HZYb/AMm/+1PmyivobT9DF5qFtHeX8csJZgJW kEqo2xs+ozjI9wT616HpvhOOGFLOCeKdoUG4ADKgk4yBwB1A+lQsI9m7P0NqvGHs7Ww9135tP/ST 42or6vuNFOjajHK1sJ/NmaNl8xYyB3I3EZOSBj3+ldA3gXGP3ff0qvqf978DD/Xb/qH/APJv/tT4 wor7L0vwchsYfkPT+7Vv/hDEPO3/AMdo+p/3vwD/AF2/6h//ACb/AO1PimivtdvBC7W+XtVT/hBv 9j36UfU/734B/rt/1D/+Tf8A2p8Z0V9mf8IL32Uv/CDdPk/Sj6n/AHvwD/Xb/qH/APJv/tT4yor7 mtPBYXBIAxRR9T/vfgH+u3/UP/5N/wDank15a7427d6x5NPDdq6goGB4qJLVV5xlvWvQPy85ldFH 3ivPbinf2OPSum8gelI0KKCSABTGc1/Y4/u0yTTUTjblq6CQBuFGBUX2celK4rnPNpp68D8K3fDW m/6PcblBHm9QP9lak8gVreHrgWkxjaHzImcOxB5XgD8elIR0moeGo/7PEeTsjkRRlgWZgp/QDIH1 6cisWfSVP7tV+QcH/CuxvdcOvYzOs8ij5m2BXxgAA4HYAD2FU/s49Koo46PwvFHcTS4YtL1DdB9K qar4PkvkQW901oynllySeQccH2P513f2ZfSl+zLQLc4uDwy8N1JKZmkjZcCNs8fMT/XH+RXsXwe8 CqumXWpSRZe4fyozjkKvX8z/AOg1x1lEuoa9b6PBFI17Pt8sbPkOTj731NfUWj+H7fRdMtrG3UCG BAg9z3P4nJ/GgZxdz4fWGEtt56DiqMWitDwFyvo1eg39mkkQZfmCsVNUfsY9KhvUh7nKtplvBZz3 MqhIoULufRQCT/KvmvXoX1rVri8lXDyuXI7DPb8BgfhX0N8VNYXStHXTYyBNfcP6iMEE/mcD868a kslVipGfSmmNM7T4JeH1k0G/Ozn7R/7KK9F/4RtecJx9Kz/gTYj/AIR7USBkfah/6CK9JNmOeKoo 4YeGwP4OaP8AhG15wldz9kX0o+xr6ZoA4b/hG17Jmj/hG1xwmOa7n7GvpQLNeM0AcL/wjSj+Cl/4 RoD+Cu5+xrzxR9jWgDhv+EbX+50pP+EZX+7xXdfY19MUfY144oA4dfDYyBs704eHBuxsGOnSu3Wz XzF4zyKmawCYBHOKQjzzUPDS/wBnXJ2D/Uv2/wBk1HfeHQ0V9kZwvfn+Gu81KzX+zbzj/li//oJq O/tVWHUCR0Xp/wABoA8t8GaLa3UOoLarGUjlAbZdecNx3En259+oIONtbl34dZY3McYL9t1b/guG eewu2uJI5VWbZG0cIjyAoycD1JJ9RnmtjUrNTbyjZvyMbR3pjOG0jw8JNMsiyD/UqfuD+6Kur4dh a6jBhVB5b9QPVarJ4R12+ke+OszWemxxxSWtrpqs00sSxnchGR855Ax3duuExS+F3jyy8ReCrLXt TttW0CKa5mtBD4jjMc+9Sq5xz8rbGIPQcjtWnI+dU46t9tRRu6bqtWitG3p/Wxga14dj/tK9+UZ8 x/51SbQoYzuJRVAJJJwBirtx4TlttY1+0n183c+SHh3uDApjZecnplg2c9cZ5rRT+z3t7QLdQSQT 5iiLOSJTwNvI5PBHNX7Cr0i/ufa/5a+hl7aHWS+/5HHNc6MsWft0LNvA2qGJyecYxwcc461t6Xot nIZZ5iscSxbi7Nxt65p0fg/w4ranstRdzA+ZNbLK7tH8mAqjI5ZVxySe3rnetI7BlhjvB9nivY/L jt7oFHfOMrgexH5j1rb6vNSXKm16eV9t9jL28WnzNL5+dt9jk9RXRF064lXU7fAclgSdy4kUNkYz wWAPoeOoOM+RdK0y68u6vIYZCm4Bs9M4ycDpkjn3HqK7a60Hw7PYa1bJZROIHY3kQidzy+4jrls4 J4PXJ7knL1LRdEuhFfXtiZ0eNUVvIcvtYqQpUHpwMj2A54pzw9VtLleun6/kKNaCTfMv60OfSysH jnukuInt1wWkXkDcisO3UqynHXkU/T9Q0Fru2VdRgZty/KuTweAenTJHPSumt/D+j2t1LpMVvBDJ Ooka3RGw6gBN24dxt9c/KD1qrpPh3w0Z1mhsFtltRDcPLNFJCiDAKHO7HGR8vr0FZxw9WS5lB20e 3fYuVeCduZX1/Az/ABFPo1nqAjuLyKB1j+ZZARjv1x6EfmO5Ga9na2WpWsrWsonVdwLIp9M/yI/O us8QeGdFvr63mubW1lknX5Gkc/vc4I2jODkKp464U9QKoL4XsF02502wWK2LABoYDvZePlUrnoQo GM9M1E6crt2ZcZra6Mqbw4sqoVjOd2CQnPQ1Y8H6SlxqCyeRNAJIiPLnTa4+fHI+ozVSx8B2tjHb 3Y8Qzz20Lq5mlcGN8EDls/3gfoXfrnA9D8L6f52tOcglYt5JOQRuHQ9+1Jx5YtSjrff81/WwRlzN NP5fqPXwyCg2oC3QZGc1yHgnQ7SS/vYbRW2qvmt5lwsrMXc4bjPDBQck9SV/gNeztaqsfTnbmuQ8 FxSyaxqUMsVuq2++FHgtzFuxK+QQfwOP7zOeQyk4mxTl8MrtAKfpXnV74dhtbi9LvGsUU0rMXQnG GJJ/ma9/ls1+WvDdU1TXm8QalbnwpM9n58hNy4LI+ZXBQKOSdoHPQ5z0xVxi5Xt0IlJRtfqUJdV0 KLw5GpuWTZEvDQMv3HVGHTswZceqN/dNVNQm0jSLpYri4WN9jMQqM/TaT0B6Blz6bl9a7HQ9N0TV PDLiTTLSK5t4ozdRyQbBAxAJJ3ewbJzx83rzFLpuj3/2O8ljtbhJnWCKby929yflXOMjlW5PTH0r pnQqtpcj+75/lqYRrQtfmX9afmclZzaPfW091FMHijk2O3ltnccALjqTk7ceuR1FNs9Q8PNdW6/a gp3p95GAOWAGPXOe3YE9BXYWuj6XHcPp6Wap56edIgtz5bru2nc3rkH8/U0llo+j7nlj0+PFtKxl 32uCSi7mKg9SQOMcnp3qI0Kmj5XbT8dvvKdaO3Muv4bkGreHbdpISqD5g2Afwrk11LQmhCR3IJcM yYibDDk5HHt/48v94V6dqs1pJa6ZO0qwJcfLCJwUZmbaQMY61ix6DpS3PlJYwxTtE06MIQERQ7Af N2IYk4/H0pzo1OZ+6/8Aht/uBVYWVpL/AIfYwIJNNs5rOadysMivKj+WxBVYyxOAPStbTW07UNUn t4N3nIu1l8sgAq5Vufqy/UEHpWlDaWn2eO8fTZ5BatKiW7QDziAhVti/3SD+Qb0rRhtdN03VLS5j 0/7NdakyR71h+dmzn96R06gZPTB7LW0MPUWnLrdr7lf8jOVaG99P6RgzWVjZ2U0k3ygzSKD5eTku ew+hOfQH0qnJqGiSaraWcVz5l0WJMYQgjKsATkccqfzHrXWjw3YXV1dTtaJJcSytEWkY7cCUsvB4 GCBz7VVnXR5I49XFiR5E7q0ptNs5ZVbnB5I+bgn1PoatUnO3s7vb730E6nL8bS3+5HPy3Gi29xei 7m8pIlBkaWNgoAznnoeQR9QR1ribrwf4XjsrzUEsVgW3llRm8tkAYOQcj0BH0GK9bkt9JN9FHLZe adUVThrUsHIXrJkfLwR16c56Vzniyz06Hw/rttcQt5EUbGRY7fcB5m51KjIDHPJ9D61jVw1SSXu/ 1e356G9HFqjLmjP+rX/I868G6D4YvPFFhYQJZrJMSwitgV5MTAEgHg7Rjn29q9p0/wCH+m6XIz2W nw2ryD52jXG7614N8EZ9Bj+LmmW0Krcysu5JvICkF4spu9GG4KRzhs+lfYAs1+TjtXB7Pkdnud1X FPEPmWi7LY8bvtBtob1HubyexijlklYWqsZJVVkLKMc4HBPGcZI6Zrq18MqyptTIIFUr3V9Km1e4 t5LS9upbe7CiOGYWxZywPysWG5cIwbOBtZ+ua9GjtRtQhc5A6GqOc830nw0p0+H5Oq/1q5/wja4/ 1ddbo9mv9mW5x/D/AFq4LMUAcMfDK/3KB4bX+5Xc/Y1o+xr6UAeOafpfjCT4halZ3mh6fD4KjtUe y1RLjN1LOSu5Gj7L9/njG1eu446r/hGl/u12l19msbeSe5lS3gjGXlkOFUdOT9afFDFcRpJEyyRO AyupyGB5BFCi0uboVKak0kkml0/M42Pw6qn7lFdp9jX0zRQSfFNQ3UL3Fu8ccrQO3SROo5z+XY+x NOadF6Hd9KhaZm46D2pCHo7QQRpJJ50yqAz4xuOOTjtk9qiZi5yTTaKQgooopCCtRANOtSx5lb+f pUenWp4mf/gI/rTbxWmuCCcIvAqiiOzkkjkMqsyyZ4YHmt6z8RsuEuk3D/nog5/Ef4Vzt3atcQiO Od7Zgch4xk1ZjjeSRI0VpJGO1UQEsx9AB1NMZ19vqFveXEUFvJ508zBI4kUlmY8AAY610P8AwhPi P/oA6h/35NejfB34T/8ACGwDVtUUNrc6YWLqLRT1A/2zxk9unrXp+4+tAHjvwv8ACN5p+tyX2r6f dWiW6fuEliPzSHjdgegz+Yr1K61SKKI4Eu5uB+6b/Cr7PtUljgDvWdIs15JuCHb0GeBSYmVra8jk jliCynIyB5TdvwqpNqltawvNMzxQxjc7tGwAHr0rbtrNoZA7PyOy15L8YvE0CzDQrWcsynfd7f4T jKx/rk/h71NibHn3ijXpfEmuXN9JwrNtiX+7GD8o/L9Sazm/eRhu68GlDxL0Ut9aUSRjPynnrTGe qfB3xZo3h/Q72HU9SgspZLjeqSk5I2gZ4FdtefFjwVYx77rxJYwJz8zFsDAyT06Yr5z/AHLf3hVa 802y1JRDOiXAOQI3B5yMEYHX6UBr0Po6P4teCbiYRQ+KLGSRgSEBbJAAJ/h9GX86n/4WX4U/6D9p +bf4V4ToXwo1nUNsun6E8UXaeX92vQD+I56AdB2rr7H4HzyKP7R1SOBu8dtEXI/FsD9Kdwu+p6P/ AMLM8Kf9B+0/Nv8ACkPxM8Jjrr9mPxb/AArkbf4N6FaYMhur0j/npLsH5KK0bbwP4fsm/d6Na7h/ FIpc/qae47m3/wALR8IZwPEVkT7M3+FTR/ETwzN/q9Yhk/3I5G/ktUobC0twBFZ28QHTZCo/pVhZ GX7p2/7vFOwXNGLxXpU4Bjumce0En/xNSf8ACRaf/wA9ZP8Avy/+FZRdj1JP40m4+tOwXNiPxDYG RAJZCdw/5Yv6/SrM2v2I2ZkkHyg/6h/8Kw7Zj9oi5/jX+dak11LGsSqwA8tT0BqWLoMvtas5rK4j jeVpHjZVXyX5JBAHSrN822HUGHOFz/47WfGx8xee9X77/j31D/c/9lqQRR8L2q2drcxpJNIpk3jz 5DIV+VRgE84+XPPcmtWcld5C7jjhfXiqHh/7s31rVaMMc5qijE0rVo7extoXtb3fHCEbEBPzBcY6 +tLcaxbXkkck9ndXEceT+9td+GBXBAPcevvWx5SrwDtyc8CmfY4VB+UAHrxTTs7oVr7nAaot1cah fTRWVziR2YN5IDHrtz3OM96q/ZbwLGRp84VchcQLhfoO3fpXpH2C37oPyo+wwKp+QYPXinzS7i5V 2PN/sd9jBsLgMSpz5QBODxznnFT2sc8Mm+awuGUrlS0IYhsnkc8HrzXoX2OH5W2/d6HHSkNjAy7S gKk5ximpNPmBxTVjiL2S5aG5jWzvFk8zcP3WP+WgOc59KyprPUpDmIalZSZyZrdAX4IJHJ6V6cLS JcELyOnFC2ka7sDG773HWqVSUZKa3X9dSXBSi4vZnmzQX37wCyulRjwoQY6A469qFt7uYLHc2N1c QHiSKRNysvcEZ5r0f7DAyhSgKjtinfZYy+7Hz+uKhScWmt0W0mrM871C2kuJLd00uZkhQCPdAP3R BIG0Z4wOBVZbK6jaSRNOmjnYZMqRBWYgHbk57Zr0z7HCMgKBnrx1pWtYjtBUEL04HFW6s5btkKnF dDzE6XL9n+z/ANkP9m7wfZx5eM56Z9cGt7wjb3EerTSS20kCGAqN6hRncvAArsDaxbt5ALdMkU7y EXkcfQCplOUvidxqMY7IduKR7hjIGRkZrmvC+m22n6jKbdJE3QBGDSs4O1uD8xPzHccnvhfQV0j/ AOqb/drE0P8A5CEn/XNv/QlqCzak/hrzfUILhNcnbZMsCzTb4Bb7hMWYlJN/UYBHHt7mvSmQNjJx SeWB/EauMnHVEyipbnnsdw66ZHCIbgTKifL5DZz8vtzxXKeKV8XLHpP/AAiltZIwvohqC6jAwUWO f3vlADHmdNv44r2s2yM25hlvWk+yxKCMYDdeOtKUnJWuVTtTlzWT9TzGJbhRgwXQQvnb5TY/KnQ+ eJLctDcnY6H/AFbHGCOlemGziZQpX5R0FJ9jhEgk24cdG9OMUlpqBwGozvcLEyQzybWZiWt2OD8u DyOvvWe0dwLd0+z3O0hjt8psdDzXqH2WIqRj5T1460n2OHaBtyB0GKcpOW5KVjzizMsNxDI8FyoQ 8t5LZHysB2q+t6FmkYJchWUKT5L88n2967n7LGWL4yx6mkWzhAIC8Z5GKqM+VWQONzhPtAC3CmK4 y0sjAeQ3QuT6U+a9L3EDhLolGJJ8l8gbW9vf9a7j7HCSvy8pyvHTvT/JQOWz85745qvaMnkRwq32 JpTtucMFB/cvz168e9c14is7m/0PU7dLO4uGkim8qIwsQSd23AI65xj3r11rWJo9jD5M52+9L9nT 5c/w8Lx0qJS5ilGx8u/B3wTrXh/x9p99qHh66s7eJZCZpYAoU7GA57dSPxr6lXGF9cUx7aN2DP8A My9Ce1SADjHOKgo5LQ/Bej3niS9Y2zwtNJJJKYJnj8x8jDNg8kc+3zGuqg/0eGJSWfaoGT1OB1qh 4X/5GKf6yfzrSZM5HoaAMa0/tGzt0hFnDIE4DfaMZ564xU32rUf+fCD/AMCf/sa0fLXPX8KXYo6i gDOWbU2/5cIP/An/AOxpWm1NefsEH/gT/wDY1oNHu6saX2B6e1AGPdLd31vJb3OlWtxBIMPFJcZV h15G2nxvf28Mccem28cSjaqLcYCgcAD5a1eR/F+lIy7urfpT5nblvoKyvfqZv2rUf+fCD/wJ/wDs aK0PLU/xGikM+EKKfFDLcMFiikldjgLGhYn6AV0uj/C3xhrzILLw3qDK5wJJo/JT8WfFSScvSMwU ZJAHvXuXhv8AZR12+2Sa3qdrpkZ+9Da5mkH4kBf51614X+APhXwvskisY726X/l4vh5zZ9QCdo/A UWCx8p+G/APiLxewGk6RcXMeeZ2Xy4h9XbAr17wb+yvPeSrL4g1ZI4VPz22njJP+zvI/kK+g/wCy Z/lQSxiMcAKpGB7DpS6hMLaNLSNfLQjlvUegPr60x2Pjr4geHB4P8bX+kQsz2cJ3wOxyWjYArk98 ZxnuQa5Ob/Wv9a+pPiR8I2+Impabc2V1DYXcCtFM8qFg8RIIwB3U5x/vVF4f+AfhfQJme9ik1y6V vvXhxGD7Rjj880xnz34T8Da342uVj0qxeWLOHunG2GP3Lf0GTX0V8OPg/pvgMJeTMupa1jm6ZcJF nqI1PT/ePNdjaSXMd9PafYo7fTYkQ28kQCqSfvLtHTB9un1ovL8wsY0Hz/3jQBdorJbUZbHTnmS0 uNRl8zHlQctz3PtWlHI01ur+W0LsufLf7ykjofcUAE1xHD988/3epqpJqTt9xdo9TyaqHOTnr3zS VnzGfMYPjrxkfC2kmfeJL6U7LeJuQW7sR/dH88DvXgl5NJdTNcSu0sspLu7HJZjySfzr27xj8PLP xbILn7RLaX6qEWXO9CozwV7dTyKi0j4P6FZ2u+7M+qTRkZ81tkf/AHyv9TTQI8St4ZLyYRW8Uk8p 4CRKWP5Cus0n4VeINT2tNBHpsR/iumw3/fA5r2uxsbbS4vKsraG0j6bYUC/y61NSuFzgdJ+DelWu G1C6uNQfuifuo8/hyfzrsNM0HTNFXFhp9va/7UcY3f8AfR5q9RSEPEjq24OwPrmpVvC2BKqyr7jm q9FAGmrwXShcDP8AdPBFZ15aospUg47E02rEd0duyVfNT36j6VVx3MuS1ZeR8wqHpx3raktfl8yF vMTv6iqkkKSdR+NVzdwKFFTSWrJyPmFQ+3Q1Yx9v/wAfEX++P51o3XWH/rktZsXEqH/aH86uGVpl QtjIUAYFTIHsCfeX61oXv+p1Af7I/lWev3h9a0dQRltr9iMKycH1wKlBEx7O+nsw3kxq+7rlSf5U tx4mvoWuUSzWWSGzN2qnKCQ7mXZuPC/dGWPTeDjFXtA+7L9fWtfdtAG4gZyPmPX1qizk/wDhMrxr L7TBpz3A2q2wIyMVMYkJCkZGASMEZJXHem6D4yv9csnuDpzWTK4XyZo23YIzntwa60yEtkuT/wAC P+NDSFj8zlh7sf8AGgDD/ti//wCeC/8AftqP7Y1D/ngv/fpq3Mj1/U0Z5+9x9TQBh/2xqH/PBf8A v01H9r6h/wA8F/78tW59G/8AHjRkf3j/AN9GgDD/ALW1H/ngP+/LUf2tqX/PAf8Aflq3M/7R/wC+ j/jQT6MR/wACP+NAGH/aupf88P8AyC1H9qal/wA8P/IDVuFvRz/30aN3o5/76P8AjQBh/wBqan/z w/8AIDUf2nqn/PD/AMl2rc3HH3zn/eP+NLu/22/76NAGF/aWq/8APD/yXaj+0dV/54f+S7Vubj/f P/fR/wAaNxx985/3j/jQBhtfasykeQeeP+Pdq5q11rX4fE8ltbaMz2QUYvRGzhwcbhxwpB7njjHU 16A7Hy2wzZx/eNYeh5+3vyR+7PQ47igB327V/wDngf8AwHasqTxneQ6daXrWz+VO2woISXRjnC4A yTnA4HGecDmux3EfxsP+Bn/GjzjnPmNn/fP+NAHD6x4+utFgkmmsppo1tmuUaGIMr7YpJNmegJWJ sHof57MeqapNDHIkIZZEVvliLAZAJGRwcHj8K3/NK8CRh/wM/wCNCzFFAWRlA6BXIH86AML+0NX/ AOeH/kBqP7Q1f/nh/wCQGrf+0P8A895P+/h/xo+0Sf8APeT/AL+H/GgDn/7R1f8A59//ACA1H9o6 v/z7/wDkFq3/ALRJ/wA95P8Avs0v2iT/AJ+JP++6AOf/ALS1b/n3/wDIJo/tLVv+ff8A8gmug+0y /wDPxJ/33R9ql/5+ZP8AvqgDnjqmrDk2+B/1xNH9pav/AM+//kE10i3UrR3CmZnHkOeTnkY5prXE 6tg3EgPuRQBzv9pav/z7/wDkE1j634n8WafdW8en+H21GGRGMkwjb92wIwuPfJ+nXoDXdfapf+fm T/voUfapf+fmT/voUAc8dS1YE4t8j/riaT+0tX/59/8AyCa6L7VL/wA/Mn/fQpftM/8Az3k/Mf4U Acrp95d2d688SZuGJyuwnr14qwdV1TJP2fqSf9S1W/DDM3iS43Esf3nJ+tbE1xN50v7+QDewADY7 mgDm/wC1tT/59/8AyC1V9Q17WrXT7ma0sFurpI2aKAxsPMYDhfxNdT9ol/5+JP8Avuj7RL/z3k/7 7NAHF+HvFPiPUrWWTU9D/siZZNqwsrNuXap3Z+pYf8BrU/tnUP8Angn/AH6aug+0Sf8APaT/AL+H /Gk85v8Anq//AH2f8aAMH+2r/wD54J/37aj+2r7/AJ4J/wB8NW7vP99v++z/AI02QFo5NpYsFPQm gDD/ALdvD/yxT/vhqK6vWf8AXwDttbv7rRQB8y2PxcvbnxBNd6doui6da2M8cPl29uVabaiyZ3Aj bzJt6HhSO9dkf2iNd7aTp4+rvXifhvZBppI5aSaRzgE87iP5AVq+Y7fdjP8AwLis4bXfU6sS4+05 IqyjZfdu/m9T3TwP8YtZ8WeII9OuLOxtomid/Mh3swKjjqcV6G13cN1nf/gIA/pXz/8ABwP/AMJz CWI/495eAPYV71uG4L1b+6OT+VaHKPu/EL6LYtdXEc13D5qxfuUBKZBJY+3QD1JA71pR6jBdL5c6 iMngq/Kn8aLG3k+wyI2YmkJxkcjjGcULp9taLvmIcj+KQ8fgOlAEkOnR29wJY2YLgjZ1H4Vn3VrO s8jeSzKzEgrg1Zm1gdIE3/7T8D/GmLrEg+/Crf7rf40AYJutRXXvIe0VNL+zlzcvlXEu5QFA7ggs TxxtHrV4qky8hXH51rLrELcOkifVcj9KM6fdnH7ot/3yaAMeGBIN3ljbu6jNLN5nlt5WN/bNasmj oeY5XT/e+YVXk0y4j+6ElH+ycH9aAMX7RFN8twhhl/vYxTJrN4xuH7xP7y1pTR4G2eMqP+mi8fnV f7K0PzW0m0f3G5U1NibGbVmy+Z3jzw6kVJIYpG2zobeX+92P40z7LLbyIwG9c9VqSdisRg4PWkqe 8j8u4bHQ/N+dQUhBRRWV4jvtW0/T2l0jTo9SnGcxvJtI9wP4vpmgDW5PTmkmZbdd0zLCv96Rgo/W vnbxd8XfEdu3lXEt1FuWQtb2Ufkldi52njOT2/E9q5m18RHXLpo5Eu2faX33BZlIBA6nvz07YquU NL2PpC8+IHhyxcpJq8LuOCIQ0n6gYrJuvi94fhO2AXl43+xDsH5sa8XZdsads5IHt/kUQ/61eM80 rDseqyfHKGGTNppEzD+9NOF/MAGopvjdNPhk0OBGIyR9obn9K8Na18SeUQt7bCXy8BiOBJlucben K8ew9DnehEqWtsJW3TCMB2Hdu5/OqsC9D0z/AIXdcj/mCQ/+BDf4UyT40TSddDg/8CG/wrz3iYej /wA6YsbMcAUDsd9/wuS4VgRo0OAc/wDHw3+FWIfjPdOoxokOMdTcN/hXnfyR9fnb07UxpGk6nj0H Sn6jPULf42vFKgOhwStkDP2lsD9K9a1D5YdRXOcJ/wCy18rQ/wCuj/3h/OvqvVIitvqDnoyHH4Cg aK3h/wD1c31FaEv3jWf4f5hn/wB4fyq/L95qYynC19NCkg+xgMobHz9xT9t/62f5PUll/wAecH/X Nf5VJJNHEyCSRI2kbagZgCx9B6mmk3sK9tyvtv8A1s/yepYba/mzh7MfhJU1WrHq1IZT/s/Uf+el l/3zJXMa14um0PUvsc62IkZwkZaR181toOFGO24fmPWu9bpXmPi+SZfE8qJaiaFmzJMXUeRiNdpA I5JyRx6VtRipytLbXql08/6ZlUk4xuvLo318iwfHU6tEjW1mkkpYRxmV9z7RlscdhzXQ281/cWsc +LNQ6B9vz8ZGcV575siyRRi2lkjYOxuRt2RHptOeQSPT1HXmu7sL6b/RbP7DN9nNksv23I8vdwNn 171UqWi5V0vuu/8AWm5Kqau/e2z/AK+exQh8Q6luRXt7Ri6GQEbxgcf49akPiK6W1aYpZgqCdmZM 8H1rnE0hTJGP7Q1Ab5/tv+u4BBX92Bj7nP6CplvLaeO7tEuY2uYVLSwg/MgPIJHpyPzFdMqELXpv mtvo9DONWW01b5mtfeJ7+2hQrDZ72bB++e1JZeJr+4icvDZ7h0Hzjjn/AArE1C5uJtOaYadNHcLK 6x2k0iq0uOjbugByf++SO4NJb6lbafbxteSC2MzLEFGZMSHJ2nHp6/T1qPq0uflSv0snd/h+ew/b x5eZu34EV18ZPsN9JaSaS080cTTFLUl2YBdxCjPXGeOwGemM7/g3x0vjAyslo1vGpZRuDBgyuysG B6cr+tcBeXNwNQaK01XTrHbC2FugrMkgjBLEY6fjx156V1fw7nnlvLgzXVveTbWV5rfAQgSHAH06 Y+mec1k4RVLm0vf+vIqMpOpbpb+vM9DP+pP0rE0H/j+f/rmf5its/wCpP0rE0H/j8f8A65n+YrmO g2ZfvCudHiC+kuJ1jtrZYo5TGDIX3cHHOOO1dFIPmAFePXHj3T7fxJeXEzXgis3l/cxYCOHmdCzq T8zDBPHIwoIBU1vRhGbfM7WRjVm4JWR2y+JtSeNJRDZBX24XL5Gfepode1JphE0VkSQp3AuOpI/p XCza8mn6HDJJd3xOqhRbjMYNmQVXCknHVlBOcAAtxgmtDSPFMet+JLG00+4YxxQ7rl7q3w1wFOAR /dJOTnAGW79K6vYU+kl+Pa/b5evkYe2l1i/w7/0zoG8Van9njuRBZ+WwUmL5yeSB1/Gr91qmoWqj BtZSx2jcrKBweeDzXNWsdxDaCea5+1WjCDy7Pywvl4I3Dd3zV++sdSXRYrdtX3ajvONQ8gepONv0 4zXLOlFVIRU0k7d+vy6dfwuaqpLlb5X17dPn16fjYuf8JBqu7ytljv2h9+H7kjGPwpJPEWqLG8gj sgI9+5cP820n8ulZ9xDcy6pbmC8+zoiq00flBvPXc3y/7P8AT8KTdcG4vElgi/swRyN56yHzS2W3 Ar27/kD3xXR7CLV01t/W/wChHtZXs0yZvGuoMNotrRW67sufXjFYdp8arW/8dX/g6CS3bxHptnHq F3aeVKFW3kKBWEhG0k+YnyjONw9GAiX7b5cGfsP2nK+f97y9m5s7P9rG38c1LCGN1nbB5ITazlf3 /mBsgA/889pzg/xFvWueVFracevXt/n07nRCrFp80H5dNX39Op1P9parqVrdRotihkgIQMZQAxIx kjnGevtWJaa1qng/TYbO/ube9nM0kURhhmmknfJYADqW5HXqT+V6xvP7Iae5vLiS5tpXTyIIYMtA vAKDH3ucHJ/u57mmT30jSmS3EcsEyrKrOCpIZARwRkcH68mrcadOp72qt0/4K6f13IU5yp2Ss79f +HMqT40aeuwve6fZtkA2tyJEuCxG7Z5ZG7dt5x6VYm+Ldrb6hFaXc1vp2+D7T9oeNzEI8DDMxxgH IxweeK5bxBH4d0zXNOur3TbVNRg+a1nWIt5OVckgk8fKshPB4X1xVDw/J4MutRtBa2kMtxbKsVp5 xnITeSwAbccjIbrnBx0rGUHUXLRi3Ly7en3j51B3qSSR3Nj8avDU1vbzy65YC2cuJGkDxSIFWRy5 Q84xExB6EDj0rsoPFulSajcae9w1rdQSeVtuozEJW2K58onhwFdCSOm4eteb6JovhjW9UtrqHR7B ob7ENxMokXzY4422xkE8BSARj2PXNelX3hXR9UJe706Gd2dZWZtwJYeWQcg/9MYvrsA9cw4yhKUZ Ras9nui4yUoqSd/NbFbwHrFhrHiC9awvIb1Ii6O0DblDcHGfoQePWt64/wBdIO3mN/6EawPh9oen 6DrV3BptnHZQsZJDHGWILFsk8k8mt68LLJKVGW8xsD8TSKOJh8WajMxytnGgJBOM7Mddx3cY75qZ vEmoKjt5tixAJTC/6wBQ2V+bng9q4S80fULqRItMjtbaK4ZzdxtgLKWB65B53bTxjgOOrAjQ0fQb +zvJrjUotPnWzjZbcQocR56BQcEKEIByTkn1BJ7oxoNN3f3Lt69/wORyrXSsv6fp2/E6aHxVqM0h VzZ24xkPIhA5IAHLDk5qdfEGpMpy9mHDYMflkMBv2hiN3A471wD6FrOoXT2kV1De6eJRcpHqJ346 ZDYGSAS3Q8h+2Dnc0HS9Q+z3V1rPk3uo3RWCe5GD5yBwpU4A+UgDjGeOtNU6Ft29+npbr6/gLnq3 2t/Xp6HRjxFf7HZZLOVQgdWjQkN17hvaqOsR614qs7a1s7mztZ2bzC8iShcbTlcI2SDnBB4xmuSu PF1jp11Jp9ghsbeylNrcRtbly53MAI+ScZ3kt06HPIzseFlfxxp1jdC/khsborLa+REY5UQDBWT1 5x9CM+1KpRp8rlGX+e9vS/XculXkppNa/ht+XQ6XWvF+p6fp4kdbWQ28BydpG7AHdmwOnU0UviOz s49Lk8mJvtH2diHlB27sdSW+X8+KK5lTZpKep4fofgHxGNHtGuNN8u5kjEsqefGdrt8zDIbsSa0V 8A643W0Vf+2qH+teqQ3DNx5WwDjn8P8AP4VJuPrWEVypI6ak/aTlO1rtv7zmPhX4Ru9I8Xw3N/Cy QCGRS3mLjJAxwpzXty39jariLA/2UXk1wmkc3y55+U1u1RmblxqqNZ74m2SnGAVzjkZ9ulZbSq7b ncu395uTTH/1K/hUTHaM0AWPNX1rIXxI0esXFlc2EkNuhHlXqurI2QCdy53DknselXx0rm9a8z7Z L5WN3HX6UAdYs0bLuVwy9mXkUNIjcHke4ri7S4u7WQMJAg7qvOfwrZttbWTCygRN/e/h/wDrUAbk c/k/6uV4/wDdJx+VWY9Ymj+8ySj/AGgVP6Vlb22g8Mp6MOhpfMHcYoA34tagkGJFaP1yMj9KZINO myQdjf3owRWKPUc/SgMM8cH8jQBcuI0XIDC4jPbbg/4VU8vyTmCTaO8bZI/+tT1mK9eR+tR3sj+U GhQOwYbvULnn9KAEkCXQHmAwyDjPUGqr27of7w9RUtvdx3Hy7l8wY3R56H09yORU2Cv3T+BpWFYp eU3pR5T+lW8Bv9lqayletLlQuU57xF4N0/xRGfttvi4xhLqI7ZV/HuPY15brnwl1zT7rFoF1C0J4 lDhWUf7Sk/yr3KinYdj53fwHrrsSLDA7fvo//iqb/wAIDr/axx/22j/+Kr6BuNOhuMkrsf8AvLxW VdadLa5OPMT+8o6fWiwWPF/+EH8Qn71iHH+1LGf/AGanL4G1oqA+l8DoVuEz/wChV65RRYLHkf8A wr3WDylsVI/heRP5hqR/AuvSx/8AHltPcedHz/49Xq0lmkjMSzDPHHFSxRiFQo6ZzQB4/wD8IBr3 /Ph/5Gj/APiqP+EA17/nw/8AI0f/AMVXsZ9aSiwWPHl8C6/CfMXTTKy/MI1njBYjtktxmvobX5Xv dF1WOyMgujDKkX/LM79pCkE5A5xgn8q5tfvCurm+4/0NA+ljD8B2uoWGh+Vq8jSXhbLM0nmHnJxn npnHU9K6CRgxJBqvb/db6ipaYCWvyWsKnghFB/Ko7zTrPUJLaS5gSZ7WQTQs2fkcdCP0/IVJGvyL 9KdtPpVRlKLvF2ZMoqStJXOWk1bxatxOBpVuYUc+VtZf3qjacEl/l6sucHgBiAeK6vw/d3Emn28m oRLa3rxKZ4YzuVJMfMAR1Gc03afSnICO1SNKxpG6i/vfoa8h8SyeJrzxNqTw+H4/sizbIZDOpMyD AD/eG3IXOCON4/unPp9Z11/x8P8A57UAcBpOm6vdadDNfacLK7YEvbiVW2HJ4znmtux13xTHpqxv 4ciDJHsXEuc4iYhvv9C6quOuH9ia360o/wDUL/u/0oCxzUekS/Z4pdv+ki3/ANWW+XfgHbn0yMZr jS3jVLa9VfDtpK5bEUzSxxmQBCVLgOf48DGcAZHuPTlPT6U0/wCpNb+0Zk4JnM6jpt5cxoTAFctu ZQwwODx1rBsfhvGuqTX8rT+awXaqsgUEP5gPHUhscnnhf7or0K4x8ufWmxbOcsB+NTzPmuVypqx4 3/wgc+m3Dxf8I6+rxLFIAWukUOGGREFJwMEk57dRknFdv8OdBm0SSZX05dNhYEpAsofb85x09scd BV6VbjzJBGcJk8Y4P14rS8Pq6yT+Z1wMfTJodT3OTzv1/wCG/ASppT5/l0/4c6AyL5RGecVk6PC9 vdO0i7RsI6+4rQPQ1Vs7hJpJAu7K8HI96yNS9Mwfoe1c1a6LJG0uQp/fuwOB3YnNdDVEt8z5BB3H 1q4tp6EyV0ctr3hzUbnw9BDYkrOHjLxxT/Z2ZQfmVZQDs+oHIBHesOPR/iNNrE5uL3TYIFZfJliC kmISsdhJTcW2dzxzzk8julW4VsSSr19ccZ+n1q3CqeWu4mRgMFvWtOZ3JseXz+D/AIgXHgsQf2/Z 2et7mJltosxlPKKoig42/vNr7uSMfxGtG60f4i3Fy6/2lpUUX2oCFvKVwkA35LApkuQVA56qpPG4 Hu5r2C1iWOR9jYHymrMc0dwqvG4dT3Fc8venGT6FrZo8/j8I+Kry3uUvtYEd3EYWtJ7GUwB9uSyy bRlkJPKnOTnoMAVZtH8eyaoUNzY/2QDKJm2Ria4Hm5BA2/JuQkFRwMcHnj0z/lofoP60xmHluO/z f1ro52RynlupaP4xXU3+wWtq1rtwvnugGcDHI+bqWz7he26pdN0fxWNN1Bru1t0v/MzarFIpXb5c fXPGd/mdeOnavRsjcfpQP4vrWJVvM4H+xfGN69rb39ppsmn+fmdVkwSiyKUxjHZeeecnI4APb3mh xTXk7B5UTeVQKwxtHA689K0f4R9R/OiXZ5z7sZ3HtWjld3ZMY2RxuvaLLFc262+l/wBop/FNI6bk 4ZuMj/ZA6j5pE7BiKGl2moNdKreHrqwEhTfLFPANgOclscnHt2zXb3KuzKYWVV7/AK+30/X1qKJJ 1YeZJGVHXjJI/Lg1cZJO7S/r0JlFvZsx49Dli1CylJkZVdt2WU4Uow4H1P612qyLx83askFfMjxg 8/0NaFYyd2arRFfwyptdanllGxGVsHr1YelX5pFaVyDx5jHp2yaoafMJLyVApBUdT9asN94/WpGc ha2N3byWzeVlmywGBhcDOCd38s067vr5TfQCwZ2cAbldQDmM4wS4/ugc+voDW1tYwjYMNxliMjFR yRztM+z/AFRxhe/Q5rbmslZGVnfUytB06fc93Eixn5odkwwSMj5vlJ4OB+daa2txFD5csttGu/zA x3cneG2/z/KrcS7Y/wB4rFupPYf/AFqi861um8tJCGH931/GlzNLQq3ci1DTpZPOIaMuYgoZBj+9 xnr6fkKXRdPks7izdyoAVQwXt93/AAq5cs7KRH/rOOo4xSruW3ZlYLIq9W6A44JH5UnNtWHy63KX iS3urrSZY1Kyg25Xy0Gxjx03EkA++D9KKsGQva+YRg7SQyggfWiq52ZuKZhbqTdSUYNYmxe0dv8A TR/umt+sDR1/00D/AGTW+Bt460ABhZW3mVmVsYQ9BxQV3DFJ9o8yQxgLhOCcnOcfT3/lRJ938aAA sF9657UmJvpeOeP5Ct9v4fpWBqH/AB+S/UfyFAFXb606hev4UcfSgCW3upbRsxPgd1PIP4VqW+qQ z4V/3Env90/j2rG5HWigDpiCvt70u/PDDNYNrqM1r8oO+P8AuN0/D0rUt9QgusAHypP7r9PwNAFw Zxwdw/WlDBunX9ajwVPPBpd2fvDPvQAk1tHcD5hhucMvBBIwT78etQs1zbrITskUDKHBAXsAfQDr Vnnsd4/WlVs9Dz+tADIp47gYVgx7r3HXt9Qfyp+CvQ5Hoahms1l5UmF853x8dSM5HuBjPvUYaW0w JGedDgBuCxPQY/AZOe5oAsbVbp8p9KayletODpJkBg5UAnHbPT6UvzL0+YelAEdFP2hvunB9DTSp XqKAKd1psNxkgeXJ/eUfzFZVxYTW3LLuX+8vIroKKAOXorcudLhnyV/dP6r0P4Vl3FhNa8suU/vr yKAIBRijPpzS9RQAm4LyeAOSa6ub7j/jXKL94V1LxpGkmxQuck47mgBLXG1s56jpU2V9G/OoLf7r fUVLQARyfKuI26f3hTvMP/PNv++hUW3fDtyRuXGR1HFVdQvRoumPO0clyIQBtT7zZIH9aelrhq3Y v+b/ANM2/wC+hR5h/wCebf8AfQrPh1iGZYyFkUvj5WGCMnHNX160gHLIMNkMCpx61SuFZ5mKqxH0 9qu8x7sH7xzSAu2fnx+FAGf5b/3G/KrySARKMNnbjGDT8Sf89P0oPmY/1n6UAVI4ZFPK44x1pfKk ZSoUZ/3qg/t6LoVk/SrFrdfa0eSLKLnb8w5/zzTuKxV1O3M0KxvIIMnIbdzx+FU49ImmY7L1XGMj aenJ5/z6VsTR+Yp8zawx3H4+vtVGO+ht/mSIxkjBATnqeDzxzn/JFS1c1jUlFWRn3lmbWP8Ae3bf Kdp8tuc8nn/ParGgyK08qrIXO3J3detSX9vHcyS+Z5qKDztAAY4Pzf8A1/f3o0uG1hvpPI3AtHnB GFAyOn6VTjZi9pKS1NY9DVa0hjikcogUsOffmrLfdNQwfeP0pEE1UV3bmwR948/jV6s5v+Wm0gPk 4DE461S3Eyk32bzEIRwScjnHP41a03y9j+QMD5Sd5z/CMfpTZmm8xdjLjA3ZPOfbNTWzNsPnlVbj GxvYZ/XNW3dkJWGXekpfSbmO2QfxDJHbt+AqezsTZxKigYHU560n2l4ZkWAbt5wWYnH0/IGvPfi1 +0b4U+Dt1p+n6omp6tr+pbvsGg6JaG7v7sKDkpGMccHliBwfQ4izk7Iq6irvY9K8p92fl6Y61E1v J8w+XnP8VeW/C/8Aah8JfFHXrjw9FY614Z8U28P2iTQPE2nmyvfKz98ISQw/3ScU/wCJ37TXhT4Z a1baBJYa14n8U3EP2iPw94Y01r6+8kEDzCikBV/3iM9qfLK/LbUXNHl576Hpv2N9wO5aRYd0jJ5k e7njPNef+Ef2jvB3jrQ9cvNJ+3PqmiWst3qPhqeyaLV7YRrko1qfmLngKBkMSACa8O/ZJ/ad1H4j eMvF+leIbDxLqd3deJ7yPS7p9IZLTTrRUzHbzuoCxOoBBVvmywzkmn7OVm7bEOtC8Vfc+ufLbbyV /OiRm818Ln5vWvGPHf7W3hTwf4uv/C+maD4m8d65ppUala+D9Ia/NhuzjzmyqqeOgJIPGMg12Xwt +MHhj406HPrHhXUDcwwztb3VtcQtDcWsw6xyxtgq36HsTRyySu0NVIN8qep098qvIheQxN2XOfX/ AD+HtXJ+JPiZ4O8A32n2fiDxXp+j3d5g2sF9eJC1xg4+UMfm5YDj2qf4pfEjw18J/C9x4j8WX0dh pltgNMylmZmyFRVHLMeeAP0r4u/ap+Onhn4p+CdAhh8C+KPDmqjxDYtZaj4i0BrVLiESEt5M+W4P B2kqT6VrTg5MxrVY009Vc++8t5keBzu9fY1frz74qfFvw18G9Cg1jxPfNbQzTrbW1tbwtLcXUzAh Y4o1yzsfbp3xXPeAf2pvCPjTX7fQdQsNe8C+ILsj7FpXjHTW06e9BOAYNxKyc9gc+1ZcsmrpG/tI p8rep63p8KR3UjKgUsCSQOvNTt94/Wo7H/Xt9D/OvCNd/bM8HWPiTUtK0bw94w8aQ6ZcNbalqvhf RHvLKykXG5ZJAR0zztDdKmMXLZDlOMPiZ7SFGEYj7oODuwOeKrSWcMCfvC4XG37w9/6Z/X1ri/hb 8bPCvxg8AXPi3RbqRPD1vNLBLcX8XkgeVgs5BPC4IOTj3rze4/bk8ChZr+30DxlqXhKF2SXxdZ+H pH0hNrFWJlyGwCOoStuST0tsYupTWt1qe/SapbLDHGyysrFY12gZz2/lVG1tNPhkEn2uIopJG1jw eO+PpXn/AMQv2nvBXw28I6D4quVvtW0PWmxZ32i2X2lCSBtLEEbd24AZ5JyO1afxe+Mnhj4LeGtO 1zxDpt9NZ6hdJZxJp9gZ5BK6kqGUEYztx9cCo5X2L9pFXu9j0CbVrWNi3mhxlUwgJO7J4qRb6Blk SNxLI33Y1XO7AGRVbS5LbWNPtL4WhiW5gjnWO4h8uRAwJAZezDPI7Gr8McNuszqiLt+c7VyeB14r HqbdCp/aEUkODMqDAyNu0jPTpRQtrC6LmNX4x83Ppxn04FFZOTvubKKtsZGaTk96Sl9q2MS9pP8A x+Dn+E1up90VgaP/AMfg/wB01vp90UAQqy/bXURsGAyXL5B4HQf5/Wpn+7+NQ+d/pnl7kA2g7cDc Tgf0qZ/u/jQA1v4fpWBqH/H5L9R/IVuTyeXGGIzgVz9zN511M20rhgOe/A5oHYjXqfpRQO/0ooEH TpRwfY0UUAGD+FJS9OlHHcfiKALVrqUtr8ufNj/uMf5GtS3voLrAR9j/ANx+PyrB2+nIpOtAHT8q f7ppdwb7w59RWJa6pLb4V/30f91jyPoa1Le6huv9U+G/55twaALPI/2h+tKrBs4/EVHyp9DS7g33 hg+ooAY9qvWJjA/X5OhIBxn86SaaW3WEMnm7uJJc4C9cE/THNTZZevzD1FKCGBxyD1H/ANagBsTf aIhJsYKemRg0vI/21qWOQIoXbhR020/YknI6+ooArbQ33evpTdpzjFTyQnuM+460zkf7Q/WgBnyr /tGkZi3Xp6Uu0N9059qb0oApXWlRT5ZP3T+3Q/hWZNZzWp+dfl/vLyK6ClHX270Acv8AxCurm+4/ 0NULrR4pmDRfum/8dq9N/q3+lADLf7rfUVKajtQSrYGeRUu0+h/KgCJJE2L8w6etO81P7w/OpY/9 WvHYU5vlGaAIPMX+8Kcsibh8w/OlPNC/eFACs6twCCahnuo7WMNK2xScZx7VO3f2GTUM1vHcRhZo 1kGd21untQAxr6FIhI7lFLbPmBBB9CKRNTgYhdz5OAAUI68D+VC2NukfliFdm7ftJJ5znPPvTLqG 2tYGmaJcqAFHPUdB+g/KgDmGuGVyPKYjJGa3tBdZLEs/7slvu7sVk9f8K2NHwLV8oW+fsM9hQBeb y9pw5Jx/f/8Ar1V8yby23BC+D91u+Rjv0xVhmG04iYHH92qnly+Wyi4JbB+bA9jn8v50AOkklVH3 BZBlsbScYx9aLOZpLjHk+Wnlk53Z53dP61W1SxuLqF1iLBi+4K2BgYPH60zQ7G4s7iXzz95eOfeq e4kbTfdNQwfeP0qZvumoYfvH6VIyas5oTK0gzkMSOpB61o1Q+Xc/Y5PHNVHcT2M6ZYJZUzIxI+UY HXH1qzp8SmM+U5YYXlv90Y/TFEnnMyELH/tg8kHnpmp7Vdsf73ar8fc4HQZ/XNU0rkq5Zt1MbNkj pXyZoNxaaT/wUA8ajxC8Md7qfh60HhmWbgNAoUXEcZP8ZkVzgZOA3vX1nGEYsASwKnPX0NeY/FD4 G+CPi5axWfirQodTS2ctbSiR4poDkcxyIQ6/dHAODgZBqVJRbT2ZooOaTjunf8zxf4/XFlqn7V/w JsdGZJPFVjcXlzfNAQWt9PMY3CXHQMPMC5HduRnm7+zje6bpH7V/x7stbeODxXe3Flc2TTsA0+ni M7fKzyQuY92Bj7vXHHqHw0/Z/wDAfwje7m8L6Etle3eftF9NNJcXMoJBw0sjM2OB8oOO+M1c8ffs 7+AfjEttP4n0Jbm/s2xb6hbTyW91EP7oljZW28n5c45qlUj8PS1vxuRUoyt7TTmve3Ta2/62Os0P xH4N1n4geILHSbrS7rxZpscUeqi2VDcwowzGsrAZxgcAnjFeC/sKzRrL8b4mkVZB8QtSJQkZAJQA 4+vFe7fDP4R+Efg7pMmk+ENFg0e0lcyzFGaSWd+Pnkkcl3PuxNczL+yz8M5PiW/j0eHnh8SyXaX8 s1vfXEUUtwhysrwq4jZgeeVwSSTkkmmpRs0YuM24y00ueUf8E+7qztvhr4u0a+aFfHln4kvG8Rxn iZ52k+WQg8lCBgHGMq3vVT4P61on/DXnx88S6VfWtp4Nt7Sxi1PUjMsdm18ifvG8zO35MShjkYYs T1zXrXxO/ZS+GHxT1d9b13w5/wATpkMcuo2N3NazToQAVlMTr5gwAPmyQBgHFbFn8EPAWi/Du8+H 9r4as7fwncxmK406JWUTAgZZnB3luB85bdwOeK054tt9zNU5pRjpaP8AX/Dnhf7aGpWEt78D/EN3 NFf+BbfxZa3N5dROJbc7hmGVmB2+WPmJOcEMeucVL+3pqAf4P+Hlke3VZ/EumtCVlBMuHYkqM8jG D+Ne633wx8K3HgS38Eto1lJ4ThtktE0m4j8yIRp90fNkkg7TuznI65Oa8qtf2F/gwLGSzufC39oW h27FuNSu5GhUZIWNzLujXnkKRu75wKqE4aX6E1KdR83L1/rsYHx1msNH/bI+Bmp+JSkfh02+oW1l cTsBDDqDJ8u4ngFsxBe+4D0yPobxL4i8G2fi7w1o2u3Ol/8ACR3skkmjWt2qPcMyLl2iBBKkAdRj pWBffBPwLrHw7sPAN74ct77wnZxrDb6dcs8nlKqkKVkLFwwycMG3c9ai+GH7NXw6+EOryat4b8Pi HWHj8n+0b26mu7hY/wC4jyuxRfZcZ71lKUWl5GsYzjJvSz1Og1jXYNe0fxfpPh3VbS58SWdhNGba 1uEee1neNjFvUElCTgjI5rx39gPVNDX9lnw7bWBjtbjTWuotWhlIWSC5E8jOZQTkZBBGf4cdMYHs Xg/4X+FvB/jDxJ4n0fRobLXNeKyaldxs5a4ZenBJC9T90DJOTk18heMtY/Z/1jXtU8QeIvhJ4w0v xxI8jT+Hf7Kvof7TmRiVDpC3kSh2wdzcMG+bNOKUk4ryJqNxkpu3U5nwTHqesf8ABPf4rr4efzri XVtQlDQncJLcXETTbcZzmESdPWvqr4beLvBqfs6+H9VsZ7CLwXDocYm8x1EEMKxBZEk7AjBDA85y DzXO/sV/DXWvhz+z/Yaf4hsBpWraldXGpTaeYwothK3yxlP4flC/L2zjtUup/sU/Bq+1h9Sk8Iww NJMtxLZxXk8dk8gHDG2WQRj6bcdeOa1k4u6b6mVOM4qMktbJanjn7P8A8Lbr4rfsH6z4Sms5YbLV n1C50FLoYaILN5lt15wZVY5ycgnkg0vhn4gN+1L4s/Z/0WZ1uF0Szk8V+JYXVsx3lqTawhgehNws p2tklWB6dfszR9PttLt7e0s1iitYI/Kit4UCoiAKAqgcAADoOma5bwD8DvA/wv8AEfiHXvDHh5NL 1XxBL52o3Czyyecxdn4V3ZUG52OECjpxwMT7S92/kV7FrlS2Vk/lt/Xmd1sRYhLJIxGM4HOfbHeq 77JpFKJsXaD5gOc+g/D+tWpB/oaHod4/rVfOO1cMpW0PSjFPUdRTc0Vga3MLpxSVHBMLhSQMdO+e oqSus5i7o/8Ax+D/AHTW+n3RWDo//H4P901vR/doAlaNfLVto3cc45qJ/u/jU7f8e4/D+dQSfd/G gBkihlAYAjHQ1g6hxeSAcDj+Qrff+GsDUP8Aj8l+o/kKAIF/i+lJSjOG+lJQAUUUUAFFFFABRn1G aKKADHpzR+hoxS89xmgC5b6tLDhZP3yf7XUfjWrbzxXS5hfJ7qeCK57bnp+RoGVYEZVh370AdKCV PHBpdyt1+U+orIt9YkTCzr5y/wB7owrShmjuVzE+71U8EUAT5K/eGR6ilBzyD+IqNWK9PypwKsf7 rUATrMR97ketOaNZOVOD6iq+Sv3h+IpysRypoAJI8H5hg+oppz/ENw9e9WFkDcMMH9Ka0OOV/KgC DZnlTmmYPpzUpXnoQaXmgBMZxTHYNG+1g3BHBqTmoJrdBBMqKE3qc8cdKAFtj8jYOeR0NWFZsNye lVNNi+zwFD85z16VbDDlcBc+lACxsfLXJyMVFd+cqr5K7ueeM8f5z+VOVhtCH5HAxtPenxt/CelA FSH7UzkSRhFwcN78Y7/X8qkhV44wJH8xh1bGKs9KY+P4ug5NO+lhDRnHPVvmOR0HYVXuJ545AI4P NGM59/T/AD61Y56n7x5P+FJSGQ20sszMJIvLGAQcEZ9R/n1qLVLGS/hxHJ5e3IUHoT61c5C8cMeB TmXAAA4FAHHS2V5avtlkxz3HXnt+Ga39D3fZXwoI3+uOwq86LIpV1DKexFVYdPS1uPNjLbcY2Z/W gCxPcCFQJBtDdwSf6e9VUs7a4Uxop27SNocjAJIPb1zU011bZKSvz6Mn4+n0/SlUpsLWyhm3BT8u OOv9c/jQIqyPbSGVgjZZm3MOfmweefxpulsvmAHcZfLySQPX/wDVVi3nuJrny5bTZHtyXYcHI6VY ZVW4yFUEryQAD1qpbiQ5vumoYfvHtxUzfdP0qG3+8fpUlE2R6is/zFKybmABdkPzc/ex/OtGsvy9 jyunLlmIRumSc/8A16avfQHa2oLYrdLHIHwoUbeeo9+KsWtn9lUqr7gcdT6DFVnkuF2CEqqAcr6f TNT28ku0+e4zxjbn05/Wq1J0Lca/NywzgjH4VTl01nkZlfAJzhhVuCTLnByApNSxruXJLEn3NQ13 NIycdjE8nMcrI24xruK7SPwqTTr9FjmGCxVPNwvJx6Y7Hjj1HNbHkrzgYz15PNNZQrHHtz3pWG5u SszNOufvA32Z9rDhi3BOMkfy596tx6gJBDlCjSqGUFT3GetWGw0mDyBmlMSEglQSOhpkDJN8iFdv X2NQzweZMX3YJ7EGrXlr6fqar3DBcZOBn+lAFS40tZ2DM3I9OPX/ABNVWsYtOKsFdic4PUDj/CrF 3K21fKl2HPOTjjv+lQQtc+YpknjeL5tygZPbH+f8apX6Ml+hLxHcwoDuLOVPBGPlb/D9a08j/IrP XabiNl5fdnJz6EVo81JehHY/65vp/WntyD2plj/rm+lPb7p4oEZwYpDuxuAHRRk1DdKip5jRbi2M 4BB6d/8APapRgRfLtD443U2Zn8seSV39+eK16GfUbYKrSbo42Q853Zx/D/8AW/I0t1qgs5njdfug EnOOoP68fjmn27Slh53lhOfun6Y/rT2MRY/dI96kYy51NY1ig8tmyQQw6c/5/nUcN0J5XTYVKgE5 IPXtUl5bzSWcT28pjZeApPy54IJHfvUKLdH/AFu3JLDMZ24XjaenX/Guae50R2J5JBGhZs4H90Zo ql9n1ERx7LgKyg5DHO44OMnHTJHHtRTjyJe8r/MUlLoz/9k=