U.S. Geological Survey (USGS) U.S. Department of Agriculture - Natural Resource Conservation Service (NRCS) U.S. Environmental Protection Agency (EPA) Other Federal, State, and local partners (see dataset specific metadata for details http://nhd.usgs.gov/wbd_metadata.html) 20151216 Vector Digital Data Set ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/WBD/National/GDB/National_WBD.zip The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications. The intent of defining Hydrologic Units (HU) within the Watershed Boundary Dataset is to establish a base-line drainage boundary framework, accounting for all land and surface areas. Hydrologic units are intended to be used as a tool for water-resource management and planning activities particularly for site-specific and localized studies requiring a level of detail provided by large-scale map information. The WBD complements the National Hydrography Dataset (NHD) and supports numerous programmatic missions and activities including: watershed management, rehabilitation and enhancement, aquatic species conservation strategies, flood plain management and flood prevention, water-quality initiatives and programs, dam safety programs, fire assessment and management, resource inventory and assessment, water data analysis and water census. The WBD was produced and is maintained through a cooperative process involving state, federal and local partners. Process information for a specific state or region can be found within the state specific metadata located at http://nhd.usgs.gov/wbd_metdata.html. This metadata file has information for WBD features contained in the WBD feature dataset. This includes information about the 2-, 4-, 6-, 8-, 10-, 12-, 14-, 16-digit polygons and WBD_Line dataset. Users accessing the WBD via shapefile will need to search for the attribution related to that specific dataset. 1980 2016 publication date Complete As needed -179.229655487 179.856674735 71.4395725902 -14.4246950943 ISO 19115 Topic Category inlandWaters Watershed Boundary Dataset WBD Hydrologic Units Hydrologic Unit Code HUC Region Sub-region Basin Sub-basin Watershed Subwatershed 2-digit 4-digit 6-digit 8-digit 10-digit 12-digit 14-digit 16-digit U.S. Department of Commerce, 1977, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions (Federal Information Processing Standards 10-3): Washington, D.C., National Institute of Standards and Technology. US United States None The distributor shall not be held liable for improper or incorrect use of this data, based on the description of appropriate/inappropriate uses described in this metadata document. It is strongly recommended that this data is directly acquired from the distributor and not indirectly through other sources which may have changed the data in some way. These data should not be used at scales greater than 1:24,000 for the purpose of identifying hydrographic watershed boundary feature locations in the United States. The Watershed Boundary Dataset is public information and may be interpreted by all organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application of the data. Photographic or digital enlargement of these maps to scales greater than that at which they were originally delineated can result in misrepresentation of the data. If enlarged, the maps will not include the fine detail that would be appropriate for mapping at the small scale. Digital data files are periodically updated and users are responsible for obtaining the latest version of the data from the source distributor. Acknowledgment of the origination agencies would be appreciated in products derived from these data. U.S. Geological Survey Mailing

U.S. Geological Survey, National Geospatial Technical Operations Center, P.O. Box 25046

Denver CO 80225 1-877-275-8747 bpgeo@usgs.gov ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/WBD/National/GDB/National_WBD.jpg Thumbnail JPG image JPEG Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2 (Build 3552) Service Pack N/A (Build N/A) All attempts were made to verify 100% of the initially required attributes using 24K digital raster graphics (DRGs) as the base. Additional datasets, like the Geographic Names Information System (GNIS) and NHD, may also have been used to verify attribution. The accuracy of this data is dependent on the level of detail of the source material and the interpretation procedures for capturing that source. Other sources and methods may have been used to create or update WBD data. In some cases, additional information may be found in the WBD Metadata table. Lines, polygons and nodes conform to topological rules. Lines intersect only at nodes, and all nodes anchor the ends of lines. Lines do not overshoot or undershoot other lines where they are supposed to meet. There are no duplicate lines. Lines bound polygons. Gaps and overlaps among polygons do not exist. All polygons close. The WBD contains completed polygons at every level for the United States. All required fields within the polygon and line datasets are populated. Some of these fields may be populated with a zeor "0". The lines coincident with the international boundary are assigned a HULevel value of 0. These cannot be attributed until the adjacent international units are added at which point the highest level of hydrologic unit can be determined. A detailed description of delineation methods and full attribute definitions can be found in the WBD Standards. Users are advised to carefully read the metadata record for additional details. The WBD was produced using a variety of digital spatial data including but not limited to Digital Raster Graphics (DRGs), aerial imagery and digital elevation models (DEM). It is assumed these data are mapped at approximately 1:24,000-scale and contain a minimum inherent error of +/- 40 feet. It should be noted that the WBD is undergoing continuous update as source data improves and as hydrologic interpretations are refined. While general rules of hydrology were used in delineation, locations of boundaries may be subjective in some cases. Additional information may be found in the WBD Metadata table. A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable. U.S. Geological Survey Unknown Paper Map Reston, Virginia U.S. Geological Survey 24000 Digital and/or Hardcopy Resources 1884 2006 Publication date USGSTopo Base information for hydrologic unit delineation. U.S. Geological Survey 1999 Raster Digital Data Unknown U.S. Geological Survey http://datagateway.nrcs.usda.gov 24000 Digital and/or Hardcopy Resources Unknown 1999 Publication date USGSDRG Base information for hydrologic unit delineation. U.S. Geological Survey Unknown Raster Digital Data Unknown U.S. Geological Survey http://datagateway.nrcs.usda.gov 24000 Digital and/or Hardcopy Resources Unknown 20100325 USGSDOQ Aerial imagery used for reference in watershed boundary delineation U.S. Geological Survey 1994 Vector Digital Data Reston, Virginia U.S. Geological Survey http://water.usgs.gov/lookup/getspatial?huc250k 250000 Digital and/or Hardcopy Resources Unknown 1994 Publication date HUC250K Reference dataset for the 2-, 4-, 6- and 8-digit hydrologic units U.S. Geological Survey 2016 Vector Digital Data Denver, CO U.S. Geological Survey http://nhd.usgs.gov/data.html 24000 Digital and/or Hardcopy Resources unknown Publication date NHD Hydrography data used for reference in watershed boundary delineation process The original hydrologic unit boundaries were hand-digitized on a digitizing table from the USGS 7.5 minute quadrangles. This process occurred over a span of approximately 20 years from 1980 to 2000. 2000 The original dataset was reviewed by USGS personnel using on-screen techniques with DRGs as the base map. All hydrologic units within the dataset that were less than 3,000 acres were dissolved out. 2003 The new WBD (2005-2011) was reviewed on-screen by USGS, EPA, or NRCS personnel using DRGs and DOQss as base maps. Hydrologic Units that were less than 10,000 acres (for the 12-digit units) and 40,000 acres (for the 10-digit units) were reviewed and if possible were dissolved out. Along the coastal areas, standard watersheds that fell within the federal guideline's size criteria (12-digit: 10,000-40,000 acres, 10-digit: 40,000-250,000 acres) were delineated. If possible the remaining frontals were left as their own units. Frontals that did not meet the size criteria were grouped together with other frontals within the overall 8-digit or 10-digit unit. Hydrologic units that were greater than 40,000 acres (12-digit units) and 250,000 acres (10-digit units) were reviewed. If possible these units where then subdivided into smaller units that met the size criteria. In some cases, additional breaks within the unit would not have made sense or have been very useful. For example: When the majority of the unit was made up by a major waterbody feature such as a lake or reservoir and the surrounding tributaries were too small to delineate as their own unit. In these instances the unit was left big. 2011 From 2005 to 2011, hydrologic units from surrounding states were used to edgematch watershed boundaries as they were developed. 2011 From 2005 to 2011, original dataset attribution was reviewed and revised to reflect the updates and changes made to the dataset. These revisions to the attribution were also made to ensure that the dataset met the Federal Standards for Delineation of Hydrologic Unit Boundaries. The NHD was used during this process to help with the naming and downstream coding of each unit. In some instances there were name discrepancies between the NHD and what was printed on the DRGs. In these instances the DRGs were used instead of the NHD. 2011 First draft of metadata created by NRCS using METADATA Editor in ArcCatalog ver. 9.1 sp.1 hu12_geo83 20070124 The following edits (2012 - present) were completed during national quality control review performed by the WBD national technical edit team in the USGS Utah Water Science Center. Updates may not affect all hydrologic units. Edits by USGS Water Science Center in Salt Lake City, Utah. 1. Reviewed all the ToHUC codes within the 12-digit polygons and made updates as necessary. All updates were coordinated and approved by WBD state stewards. 2. Updated Linesource code (misspellings, removed extra spaces etc.) where needed to match Federal Standards 3. Updated and corrected errors in the HU_Mod fields where needed to match Federal Standards. 4. Updated State field for Canada (CN) and Mexico (MX) based on the new version of the Standards 5. Reviewed all the Names related to each 10-digit and 12-digit polygon and made updates as necessary. All updates were coordinated and approved by the WBD State stewards 6. Checked and updated HU_Level field where HU_Level = 99 or = null 7. Updated the 8-digit outer boundary for units flowing into ocean units by extending the boundary offshore to the 3 nautical mile limit provided by NOAA. All updates were coordinated and approved by the WBD state stewards 2016 The following are 8-digit updates (from 2009-2016) that were approved by the WBD National Technical Coordinators as required by the WBD Standards. These may include name/code updates or boundary updates that were implemented in the WBD at some point during the creation or maintenance of the data. Alaska: Legacy 19020401 Anchorage boundary has changed by about 20% of its area. 19020203 (Prince William Sound) Added a new subbasin unit for Prince William Sound. Adjusted huc8 boundaries between 19020104, 19020201 and 19020202 to better reflect surface water flow and to assist with delineating the Prince William Sound as a new unit. Legacy 19020302 Upper Kenai Peninsula has changed by about 20% of its area. Legacy 19030304 Wood River was subdivided which has created a reduced area for the 19030304 Wood River and put Igushik River into its own hydrologic unit with a new code of 19030306. Legacy 19030402 Farewell Lake was divided into 19030406 Middle Flork Kuskokwim River and 19030407 South Fork Kuskokwim River. Legacy 19040204 Black River was subdivided. 19040204 will remain the Black River, and a new unit 19040206 Grass River is broken out. 19040502: The outlet for subbasin 19040502 was moved downstream from the current break across Tanana River at a confluence with a minor tributary to the more prominent confluence with Robertson River. This edit resulted in the addition of 2 subwatersheds to 19040502 and the removal of 2 watersheds from 19040503. Legacy 19040504 Delta River linework changed significantly. The legacy 19040504 had 3 separate outlets; Delta River, Delta Creek and Little Delta River. The boundary was adjusted so that 19040504 contained just the Delta River as a standard unit. The Delta Creek and Little Delta River where moved into 19040507. Legacy 19040507 Tanana Flats Linework changed significantly. 19040606 - Legacy boundary for 19040606 had the outlet at a location across the Huslia River downstream from the outlet of the South Fork Huslia River. The boundary was adjusted downstream to the major confluence where the Huslia River drains into the Koyukuk River, thus creating a standard HUC8 for the Huslia River. 1905: 19050202, 19050203, 19050301, 19050304, 19050403 19050202’s boundary was adjusted so that this unit contained all frontal drainage areas flowing into the southern portion of Kotzebue Sound. 19050203’s boundary was adjusted to that the unit included Eschscholtz Bay and all of the drainage areas flowing into it. 19050301’s boundary was adjusted so that this unit has one outlet and includes Selawik Lake. The frontal drainages flowing into Hotham Inlet were moved into unit 19050304. 19050304’s boundary was adjusted so that the unit included Hotham Inlet and the frontal drainages flowing into it. 19050403’s boundary was adjusted to a buffer distance of 1000 meters off shore. 19050500 - Kotzebue Sound: Added a new HUC8 unit to AK WBD for Kotzebue Sound. Inner coastal units that ended at the shore line were extended offshore to a 1000 meter buffer distance. Legacy 19060204 Ikpikpuk River absorbed Inaru River from Legacy 19060202 Legacy unit 19060202 contained 2 different stream systems flowing into 2 different bodies of water. The Inaru River flows into Admiralty Bay while the Kugrua River and the other small frontal drainages flows into the Chukchi Sea. The boundary was adjusted so that flow into Admiralty Bay/Dease Inlet was separate from flow into Chukchi Sea. The Inaru River, Admiralty Bay/Dease Inlet and all associated frontal drainages were added to subbasin 19060204. New Subbasin 19060206 is being named Admiralty Bay-Dease Inlet. This area use to be part of Subbasin 19060204 19020800 Cook Inlet is a new hydrologic unit as recommended by the Alaska in state stakeholders. 2011 - These updates where proposed by Forest Service partners within the Tongass National Forest. When major changes are made to the HUC8 container (i.e. the container is subdivided into multiple units) the national protocol has been to retire the old HUC8 code and name and assign new codes and names to the updates units 19010202 (Kuiu-Kupreanof-Mitkof-Etolin-Zarembo-Wrangell) is being retired and 2 new HUC8 units were formed. Kuiu Island, Mitkof Island and Kupreanof Island were split out into their own 8-digit unit HUC8 - 19010210 HU8_Name – Kuiu-Kupreanof-Mitkof Islands Zarembo Island, Wrangell Island and Etolin Island were subdivided into their own 8 digit unit HUC8 – 19010209 HU8_Name – Etolin-Zarembo-Wrangell Islands 19010203 (Baranof-Chichagof Islands)19010203 was retired. 19010203 was subdivided 3 new units; 2 island units and 1 channel unit. Chichagof Island was split out into its own 8-digit unit HUC8 – 19010211 HU8_Name – Chichagof Island Baranof and Kruzof Islands were subdivided into their own 8-digit unit HUC8 – 19010212 HU8_Name – Baranof Island Created a new water hydrologic unit for the channel between Chichagof Island and Baranof/Kruzof Islands. This new water unit would become a HUC10 unit within the "Water" subbasin 19010500. HUC10 – 1901050011 HUC10_Name - Peril Strait Because of the varying width of the channel the boundary was graduated from a 1,000 meter buffer to 100 meter buffer from the Low Tide Shoreline. The Low Tide Shoreline was provided by the Forest Service. A 1,000 meter buffer was used in the open channel to match the buffer distance used within the rest of SE AK WBD. There is a narrow portion of the channel where the boundary was gradually reduced from the 1,000 meter buffer to a 100 meter buffer. 2014 - Updated Alaska’s region 1904 based on a request from NHD program and approved by state partners. 1904 was subdivided 3 new 4-digit hydrologic units. The new units are 1907 – Upper Yukon River 190701 – Headwaters Yukon River 1908 – Middle Yukon River 1909 – Lower Yukon River 2016 - Updates to AK 8-digit units based on harmonization effort with Canada 19070504 (Eagle Creek-Yukon River) is being subdivided 2 new 8-digit hydrologic units. Original code and name are being retired. HUC8 - 19070505 (Tatonduk River-Yukon River) HUC8 - 19070506 (Charley River-Yukon River) 19060503 (Beaufort Lagoon) is being subdivided 3 new 8-digit hydrologic units. Original code and name are being retired. HUC8 - 19060504 (Kongakuat River-Beaufort Lagoon) HUC8 - 19060505 (Firth River) HUC8 - 19060506 (Babbage River) is completely within Canada Yukon Territory Arizona: Legacy 15010009 Fort Pierce Wash name changed to Fort Pearce Wash to account for misspell. Legacy 15010007 Hualapai Wash name should change as the wash is now in the adjacent Subbasin. Changed to Red Lake California: Legacy 18010109 Gualala-Salmon had an area the size of several 12-digit HUs that has been aggregated into the adjacent legacy 18050005 Tomales-Drake Bays as a result of coastal implementation. This is approved by the in-state WBD Steward and T3.Legacy 18030012 and new 18030012 Tulare-Buena Vista Lakes changed to Tulare Lake Bed as the boundary has changed so significantly that Buena Vista Lakes are no longer in the adjusted hydrologic unit. Legacy 18040001 and new 18040007 name changed from Upper Chowchilla-Upper Fresno to Fresno River as the Chowchilla is no longer in the adjusted hydrologic unit. Legacy 18040002 and new 18040002 name changed from Middle San Joaquin-Lower Merced-Lower Stanislaus to Lower San Joaquin River as Merced and Stanislaus Rivers are no longer in the adjusted hydrologic unit. Legacy 18050006 San Francisco-Coastal South will absorb 4 coastal 12-digit HUs from legacy 18060001 San Lorenzo-Soquel as a result of coastal implementation. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Legacy 18060006 Central Coastal will absorb an area the size of 6 12-digit HU’s from legacy 18060012 Carmel which all drains directly to the Pacific Ocean. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Portions of legacy 18060011, 18060012, and part of 19060001 will become a new subbasin accounting for all of these frontal pieces. It will be coded 18060015 and named Monterey Bay. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Legacy 18060013 Santa Barbara Coastal had an area the size of one 12-digit HU which will be aggregated with legacy 18070101 Ventura as a result of coastal implementation. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Legacy 18070104 Santa Monica Bay had an area the size of several 12-digit HUs which will be aggregated with legacy 18070106 San Gabriel as a result of coastal implementation. This is approved by the in-state WBD Steward and WBD National Technical Coordinators (NTC) Legacy 18100200 has now been subdivide into 18100201, 18100202, 18100203, and 18100204. The legacy name for 180100200 has been retained as the Salton Sea for new code 18100204. New names for the other subdivisions have been reviewed and accepted as follows: 18100201 Whitewater River 18100202 Carrizo Creek 18100203 San Felipe Creek Legacy 18040002 and new 18040051 name Middle San Joaquin-Lower Merced-Lower Stanislaus was change to Rock Creek-French Camp Slough. Legacy 18020124 Honcut Headwaters name and code have been retired. It was absorbed in to legacy 18020106 Lower Feather to form the new 18020159. WBD National Technical Coordinators (NTC) recommends the name retain the combined legacy names of Honcut Headwaters-Lower Feather. Legacy 18020120 Upper Butte and legacy 18020105 Lower Butte have been retired. The two hydrologic units were combined in to the new accepted code and name of 18020158 Butte Creek. Legacy 18020119 Mill-Big Chico, 18020103 Sacramento-Lower Thomes, and 18020114 Upper Elder Thomes have been retired. The accepted names and codes for the newly delineated hydrologic units to replace those areas are 18020157 Big Chico Creek-Sacramento River, 18020156 Thomes Creek-Sacramento River, and 18020155 Paynes Creek-Sacramento River. The following legacy names and codes have been retired: 18020113 Cottonwood Headwaters, 18020102 Lower Cottonwood, 18020101 Sacramento-Lower Cow-Lower Clear, 18020118 Upper Cow-Battle, and 18020112 Sacramento-Upper Clear. The accepted codes for the newly delineated hydrologic units that replace those areas will be 18020151-18020154. The approved names are: 18020151 Cow Creek 18020152 Cottonwood Creek 18020153 Battle Creek 18020154 Clear Creek-Sacramento River 18010111 code and name have been retired and the area has been subdivided. A portion is in 18010109 Gualala-Salmon, and the other portion in 18050005 Tomales-Drake Bays 18020107 code and name have been retired and the area is now included with 18020125 Upper Yuba 18020108 code and name have been retired and the area is now included with 18020126 Upper Bear 18020110 code and name have been retired and the area is now included with 18020116 Upper Cache 18030008 code and name have been retired and the area is now included with 18030012 Tulare Lake Bed 18030011 code and name have been retired and the area has been subdivided. A portion is in 18030012 Tulare Lake Bed, and the other portion in 18030009 Upper Dry 18040004 code and name have been retired and the area is now part of 18040011 Upper Calaveras California 18040005 code and name have been retired and the area is now part of 18040003 San Joaquin Delta, 18040012, 18040012 Upper Mokelumne, and 18040003 Upper Cosumnes 18020109 code and name have been retired and the area is now part of 18020163 Lower Sacramento 18020117 code and name have been retired and the area is now part of 18020162 Upper Putah 18060001 code and name have been retired, and the areas are now subdivided between 18050006 San Francisco Coastal South and 18060015 Monterey Bay 18060011 code and name have been retired and now is subdivided between 18060015 Monterey Bay and 18060005 Salinas 18060012 code and name have been retired and the area is now part of 18060006 Central Coast and 18060015 Monterey Bay Colorado: Legacy 14010006 Parachute-Roan name and code have been retired. This area has been combined with 14010005 Colorado Headwaters-Plateau. Connecticut: 01100007 code and name have been retired and the area is now part of 0110004 Quinnipiac Delaware: 02060007 code and name have been retired and this area now included with 02080110 Tangier 02060008 code and name have been retired and this area now included with 02080109 Nanticoke 02060009 code and name have been retired and this area is now part of 02080111 Pokomoke-Western Lower Delmarva and 02080110 Tangier 02060010 code and name have been retired and this area is now part of 02040303 Chincoteague Florida: Legacy 03090202 Everglades has been modified as follows: The largest part of 03090202 Everglades carries the legacy code and name. Subdivided out new Subbasin 03090206 Florida Southeast Coast Combined additional smaller portions of 03090202 with adjacent Subbasins. Louisiana: 2009 - USGS Water Science Center, Salt Lake City, UT. Recoded all HUC12 codes and DS codes for 08080100 Atchafalaya to 08080101 Atchafalaya. 08080101 is the correct code. During the development of the WBD the 12-digit hydrologic units were miscoded as 08080100. Maine Updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details. Massachusetts: 01070002 is retained for the headwaters of this original code, but ¾ of the original area is now coded 01070006. The area now coded 01070006 retained the original name for the area of legacy 01070002 and is called Merrimack, whereas 01070002 is not called Winnipesaukee River (other state documentation supporting this decision) New Hampshire: Legacy 01070002 Merrimack was subdivided in to 01070002 Merrimack to the North and 01070006 Merrimack River to the South. The technical team requests that the portion to the South retain the legacy code and name of 01070002, Merrimack, and that the northern hydrologic unit receive the code and name 01070006 Winnipesaukee River. There is no Merrimack River in the northern portion and the southern portion most closely resembles the legacy delineation. Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details New York: Legacy 04150307 English-Salmon was subdivided into 04150307 Salmon and 04150308 Chateaugay-English. The Technical Team accepts this change. 2010- Edits were made to Lake Champlain Basin moving it from Region 02 to Region 04. Update to delineation data in Lake Champlain area on the US side and Canadian side. All lines within Canada are draft delineations only. These boundaries were based on Canada's 1:50,000 National Hydrography Network Work Units or were delineated using either 1:50,000 scale topos or CDED elevation data. These boundaries have not been fully reviewed or approved by either the Canadian federal or provincial agencies and are subject to change. Border polygons are based off of these internal boundaries within Canada and so are also subject to change within Canada. Edits made by USGS Salt Lake City, Water Science Center: to the Lake Champlain and surrounding subbasins to remove all shoreline representations from the WBD. The codes, DS codes and names where updated where necessary. 02010004 name and code have been retired, and this area was subdivided, part is in 04150404 Ausable River and part in 04150408 Lake Champlain. 02010006 name and code have been retired and this area was subdivided. Part is in 04150406 Saranac River and part is in 04150408 Lake Champlain. 02010001 name and code have been retired and this area was subdivided into 04150401 Mettawee River and 04150408 Lake Champlain The new Lake Champlain unit 04150408 is made up of parts of original HUC250K units 02010001, 02010002, 02010003, 02010004, 02010005, 02010006 and 02010007 Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details North Carolina: Legacy subbasin 03030001 and legacy subbasin 03020106 have been combined and recommended for acceptance as a new 6-digit Basin 030203 Onslow Bay. Legacy Subbasin 03030001 New has been recoded and renamed to 03020302 New River. The technical team accepts the new code and name. Legacy Subbasin 03020106 Bogue-Core Sounds has been recoded and renamed to 03020301 White Oak River. The technical team accepts the new code and name. 03040207 code and name are still in use, but the portion that stretches along the coast has been broken out to a new 03040208 Coastal Carolina North Dakota: Legacy 10160007 East Missouri Coteau, changed to North Fork Snake as that is a better hydrologic representation of the hydrologic unit. Legacy 10170103 South Big Sioux Coteau name changed to Lake Thompson Legacy 10170201 Middle Big Sioux Coteau name changed to Upper Big Sioux Legacy 10170202 Upper Big Sioux name changed to Middle Big Sioux Because legacy 10170203 Lower Big Sioux should stay the same, it doesn’t make sense not to have a middle and an upper. Although the boundaries have significantly relocated, it seem like most viable option is to retain the Upper, Middle, Lower naming convention. Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details Oregon: Legacy 17100304 Coos was subdivided into 17100304 Coos to the north and 17100306 Sixes to the south. The Technical team accepts this change. South Carolina: Legacy 03040207 Carolina Coastal-Sampit was subdivided into a southern portion called 03040207 Carolina Coastal-Sampit and a northern portion newly coded and named 03040208 Coastal Carolina. The technical team recognizes this as an acceptable solution, however, future coastal delineations may require additional modification. Legacy 03050202 South Carolina Coastal has now been subdivided into subbasins 03050202 South Carolina Coastal and 03050209 Bulls Bay with an additional portion of 03050202 being aggregated in with legacy 03050201 Legacy 03050208 Broad-St. Helena has had the following modifications which the NTC concurs with: 03050208 Broad-St. Helena code and name retained into a much smaller unit capturing only the Broad-St. Helena Rivers Subdivided into new 03060110 Calibogue Sound-Wright River, and now part of the adjacent Subregion to the south. Subdivided into new 03050210 St. Helena Island portion combined with 03050207 Salkehatchie. Legacy 03050205 name is changed to Four Hole Swamp (from Edisto...this name was flipped with the hydrologic unit the water feature resides in). The WBD National Technical Team recommended that this name not be reused as it has been historically assigned to 03050206, but all in state interagency folks felt strongly that it should be reused as that is by far the predominant feature for the HU. Reports since 2005 reflect this. Legacy 03050206 name is changed to Edisto River to reflect the major hydrologic feature. South Dakota: 2009 - Edits made by in-state data steward; all of sub-basin 10160010 (now retired) was recoded to 10160011 (Lower James); In addition to the recoding of this 8-digit level unit in the James Basin, this group of edits primarily consisted of minor corrections to linework and 12-digit downstream codes, populating ncontrb_A fields of selected 12-digit units, and tweaking selected 5th- and 6th-level unit names to facilitate merging with GNIS. Texas: Legacy13070008 Lower Pecos was subdivided into a northern and southern portion. The northern portion retains the 13070008 code but name should be Pecos. The new subdivided 13070012 hydrologic unit should carry the legacy name Lower Pecos. Legacy 13090002 Lower Rio Grande is missing from the current WBD. Vermont: Updated 01110000 from Region 01 to Region 04 and is now 04150500 (St. Francois River). Craig Johnston (USGS) pointed out that this unit contains the St. Francois River which flows up into Canada and then dumps into the St Lawrence River. Region 01 is Maine Coastal drainage's while region 04 is St. Lawrence drainage's, so this unit really belongs in region 04. 2010- Edits were made to Lake Champlain Basin moving it from Region 02 to Region 04. Update to delineation data in Lake Champlain area on the US side and Canadian side. All lines within Canada are draft delineations only. These boundaries were based on Canada's 1:50,000 National Hydrography Network Work Units or were delineated using either 1:50,000 scale topos or CDED elevation data. These boundaries have not been fully reviewed or approved by either the Canadian federal or provincial agencies and are subject to change. Border polygons are based off of these internal boundaries within Canada and so are also subject to change within Canada. Edits made by USGS Salt Lake City, Water Science Center: to the Lake Champlain and surrounding subbasins to remove all shoreline representations from the WBD. The codes, DS codes and names where updated where necessary. 02010001 name and code have been retired and this area was subdivided into 04150401 Mettawee River and 04150408 Lake Champlain. 02010002 name and code have been retired and this area was subdivided into 04150402 Otter Creek and 04150408 Lake Champlain. 02010003 name and code have been retired and this area was subdivided into 04150403 Winooski River and 04150408 Lake Champlain. 02010005 name and code have been retired and this area was subdivided into 04150405 Lamoille River and 04150408 Lake Champlain. 02010007 name and code have been retired and this area was subdivided into 04150407 Missiquoi River and 04150408 Lake Champlain. The new Lake Champlain unit 04150408 is made up of parts of original HUC250K units 02010001, 02010002, 02010003, 02010004, 02010005, 02010006 and 02010007. Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details Wisconsin: Legacy 07090001Upper Rock keeps the same code and name but the original hydrologic unit delineation changed significantly. Legacy 07090002 Crawfish keeps the same code and is renamed to Middle Rock. The original hydrologic unit delineation changed significantly. 2016 Below is a list of updates (from 2011 to 2016) resulting from harmonization work with Canada. Alaska: Legacy 19010101 Southeast Mainland name and code were retired and the area subdivided into four units. New codes and names are as follows and accepted by the National Technical Team and approved with Canadian and Alaska partners (USFS): 19010104 Bradfield Canal 19010105 Burroughs Bay 19010106 Headwaters Portland Canal 19010107 Outlet Portland Canal Legacy 19010201 Mainland had a portion broken out. 19010201 will be preserved and the small piece broekn out in order to harmonize with Canada. The smaller piece will have the new code 19010205 and the name will be Lower Iskut. Revised again 5/31/11: 19010201 Mainland was broken into three new units 19010206 Holkham Bay 19010207 Stikine River 19010208 Thomas Bay Legacy 19010301 Lynn Canal now has the Taku River broken out to accommodate Canada. Taku River will be code 19010304. The National Technical Coordinators (NTC) accepts this. Revised again 5/31/11:(AK group consulted along with Pete Steeves, Kim Jones, Stephen Daw, Karen Hanson): 19070101 Atlin Lake was broken out of the legacy Lynn Canal 19010301 and is part of the newly accepted Subregion 1907 Legacy 19010302 Glacier Bay was subdivided along the ridge separating out the ocean flow. The unit broken out is: 19010406 Palma Bay (this unit also includes a portion of the original 19010401) Note: Legacy 19010302 Glacier Bay will be retained although the area is now smaller. Other options didn’t make as much sense. Legacy 19010303 Chilkat-Skagway Rivers was subdivided into: 19070102 Bennett Lake 19070103 Tagish Lake 19070104 Takhini River Note: 19010303 Chilkat-Sakgway Rivers is retained Legacy 19010401 Yakutat Bay name and code retired and the area subdivided into 4 new units. New codes and names are as follows 19010403 Tatshenshini River 19010404 Alsek River 19010405 Yakutat Bay-Gulf of Alaska 19010406 Palma Bay (This new unit also includes a portion of the original 19010302) Idaho and Washington - 2013 - The Columbia River Basin and Puget Sound Coastal area was updated to include the harmonized 8-, 10, and 12-digit hydrologic units within Canada. This harmonized data was created with contributions from US and Canadian Federal, State, Provincial and local partners. The British Columbia 20K Fresh Water Atlas watershed data and DEM data were used to create the units within Canada. Border units were updated through a review/agreement process with local and state/provincial partners using the best available data (DEM, DRG, Imagery, Field Verification). During the harmonization effort there were some 8-digit updates that were agreed to. Legacy 17010101 Upper Kootenai name will change to Middle Kootenai to coordinate with Canada since there is an Upper Kootenay solely in Canada. Legacy 17010101 Upper Kootenai boundary changed slightly. The WBD Technical Team recommends retaining the legacy name and code. A new subbasin was created as a result of the international border harmonization which slightly goes into the U.S. (the portion of 17010101 referenced above). The WBD Technical Team recommends coding this unit with the next down sequential code which would be 17010106 and using the name that Canada refers to this hydrologic unit as “Elk”. 17110001 legacy name “Fraser” is being changed to “Sumas River” to match with Canada, and because the Fraser River doesn’t flow through this unit. Montana: 1001 flows into Canada and the Saskatchewan River and not into the Missouri River as originally thought. As such this 4-digit hydrologic units was moved from region 10 to 09. 0904 - Saskatchewan River 090400- Upper South Saskatchewan River (This matches the Canadian FDA at the WSCSDA level (sub drainage area)). 10010001 name and code have been retired, and this area is now 09040002 Belly 10010002 name and code have been retired, and this area is now 09040001 St. Marys Minnesota: 2014 - Rainy River Basin was updated to include the harmonized 8-, 10- and 12-digit hydrologic units with Canada. This harmonized data was created over a 6 month time period with cooperation from Federal, State, Provincial and Local Partners. Some of the boundaries within MN were updated using the MN LiDAR data. The MN LiDAR was also used in the creation of boundaries within Canada when the LiDAR data overlapped into Canada. The other boundaries within Canada were generated using the province of Ontario’s 20K DEM and Hydrography data. There were some 8-digit updates as a result of the harmonization effort. 09030004 Upper Rainy has been retired 09030004 is now a part of 09030008 the Lower Rainy 2 new 8-digit units were broken out in Canada 09030010 – Big Turtle River-Rainy Lake 09030011 – Shoal Lake North Dakota: Legacy 09020313 Pembina was subdivided into two new units. The legacy name and code were retired. The new codes and names are: 09020315 Upper Pembina River 09020316 Lower Pembina River 2014- Souris River Basin was updated to include the harmonized 8-, 10- and 12-digit hydrologic units with Canada. This harmonized data was created over a 6 month time period with cooperation from Federal, State, Provincial and Local Partners. There were some 8-digit updates as a result of the harmonization effort. Legacy 09010001 Upper Souris has now been subdivided. That code and name have been retired and the new units are: 09010006 Long Creek 09010007 Headwaters Souris River 09010008 Moose Mountain Creek-Souris River North Dakota and Minnesotta: Red River Basin Legacy 09020311 Lower Red name is being changed to Middle Red in order to harmonize with Canada. Lower Red is the Basin name for this entire area but the impact to change at that level isn’t known so won’t change. 2016 - Red River Basin was updated to include the harmonized 8-, 10-, and 12-digit hydrologic units within Canada. Some of the boundaries within MN and ND were updated using Lidar data. Lidar data was also used in the development of hydrological units within Canada. Where Lidar data did not exist the province of Manitoba provided either 1:20,000 scale or 1:50,000 scale digital elevation data for boundary delineations. Maine All HUC8 boundaries were updated with the Harmonized US/CAN border into Canada. Coding was updated as needed. 01010001 was subdivided into 6 new units. 01010001 code retired 01010001 HUC8 name retired (Upper St. John) New codes and HUC8 names 01010006 – Headwaters Saint John River 01010007 – Big Black River-Saint John River 01010008 – St. Francis River-Saint John River 01010009 – Little River-Saint John River 01010010 – Becaguimec Stream-Saint John River (This unit now contains a portion of the original 01010005) 01010011 – Keswick River-Saint John River 01010004 - Boundary within Canada was updated with harmonized boundary. 01010005 - Boundary was updated with US/CAN harmonized boundary. A small portion of 01010005 was moved into the new 01010010 so that 01010005 is a standard HUC 8 unit for the Meduxnekeag River. 01020001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01030001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01030002 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01040001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01050001 - Boundary was updated with US/CAN harmonized boundary. This boundary was developed during the initial St. Croix pilot and includes updates within the US as well as Canada. Coding left as is 01050002 - The harmonized boundary for 01050004 required updates to 01050002. A portion of 01050002 was moved to 01050004 to accommodate the new harmonized boundary. This required re-coding of the entire 01050002. 01050004 - Boundary was updated with US/CAN harmonized boundary. A portion of 01050002 was moved into this unit. Codes were updated to reflect this boundary change. 04150600 – Chaudiere River This is a new unit that was created when the WBD boundary was moved from the international boundary on to the ridgelines Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. 04150500 - Boundary was updated with US/CAN harmonized boundary. Coding left as is New Hampshire 01040001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 04150500 - Boundary was updated with US/CAN harmonized boundary. Coding left as is New York 04150301 - Subdivided into 2 new units 04150301 code retired 04150301 HUC8 name retired (Upper St. Lawrence) New Codes and HUC8 names 04150309 – Headwaters St. Lawrence River 04150310 – Raisin River-St. Lawrence River 04150306 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150307 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150308 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150408 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150409 - Boundary was updated with US/CAN harmonized boundary. Coding left as is Vermont 04150407 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150408 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150409 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150500 - Boundary was updated with US/CAN harmonized boundary. Coding left as is Great Lakes The boundaries for Lake Ontario (0415200), Lake Erie (04120200), Lake Huron (04080300) and Lake Superior (04020300) were updated using the new inland lakes coastal method. All updates were coordinated with the WBD state steward for each adjacent state. The area within Wisconsin was excluded per the state partner’s request. All surrounding 8-digits (units touching the lakes) were reviewed and updated as well. 2016 Mexico Harmonization (2010-2014) 2010 - Harmonization with Texas and Mexico; HUC12 polygons and line rework by USGS Water Science Center, Salt Lake City, UT. 2014 - Harmonized 8-, 10 and 12-digit units for all border 8-digit units with Mexico were incorporated into the WBD. These datasets were developed through a coordinated effort between the USGS and INEGI along with input from State and local partners. Due to the harmonization effort some 8-digit boundaries may have been adjusted. In addition to this the 10- and 12-digit boundaries along the border might have also been adjusted based on the availability of better base information within Mexico provided by INEGI. 2014 The following section describes updates to the WBD data model (2012-2016). July 2012 National responsibility for stewardship and maintenance of the WBD transferred from NRCS to the USGS. As a result the WBD data model was updated and the data was incorporated into the NHD database. WBD model updated based on input from NRCS, USGS, NHD program and user community. WBD polygon dataset subdivided into individual polygon datasets for each level of hydrologic units. Two additional datasets added for the next 2 levels of subdivisions (14- and 16-digit) but are not required for each state to populate these. Attribute tables for polygons and lines were updated with some fields being added, renamed or removed. See below for a list of changes. WBD Line attribute table changes: Old Model: HU_LEVEL LINESOURCE META_ID – removed – Feature level metadata functionality is added to track updates in the new model LEFT_HUC_8 – removed RIGHT_HUC_8 – removed New Model: Permanent_Identifier – New field for feature level metadata Source_FeatureID – New field for feature level metadata Meta_SourceID – New field for feature level metadata Source_DataDesc – New field for feature level metadata Source_Originator – New field for feature level metadata HU_Level HU_Class – New field populated with the number of digits of the hydrologic unit LoadDate – New field for feature level metadata LineSource WBD Polygon attribute table changes: Codes and names moved from single polygon dataset to the appropriate hydrologic unit dataset for each level Old Model: HUC_8 – moved to 8-digit polygon dataset HUC_10 – moved to 10-digit polygon dataset HUC_12 – moved to 12-digit polygon dataset ACRES – re-named to AREA_ACRES NCONTRB_A HU_10_GNIS – Replaced with Gaz_ID HU_12_GNIS – Replaced with Gaz_ID HU_10_DS – Removed from new model HU_10_NAME – moved to 10-digit polygon dataset HU_10_MOD – moved to 10-digit polygon dataset HU_10_TYPE – moved to 10-digit polygon dataset HU_12_DS – moved to 12-digit polygon dataset HU_12_NAME – moved to 12-digit polygon dataset HU_12_MOD – moved to 12-digit polygon dataset HU_12_TYPE – moved to 12-digit polygon dataset META_ID - removed – Feature level metadata functionality is added to track updates in the new model STATES New Model: Fields included in all levels of hydrologic unit polygon datasets. Gaz_ID – Old model was the GNIS field Area_Acres - Renamed Area_SqKm – New field States LoadDate- New field HUC_"#digit" - For Example: HUC12 HU_"#digit"_Name - For Example: HU_12_Name Fields included with the 10-, 12-, 14- and 16- digit polygon datasets. HU_"#digit"_Type - For Example HU_12_Type HU_"#digit"_Mod - For Example HU_12_Mod Fields included with the 12-, 14- and 16- digit polygon datasets. NContrb_Acres NContrb_SqKm – New field Tables New Model: ExternalIDCrosswalk FeaturetoHUMod FeatureToMetadata Meta_ProcessDetail Meta_SourceDetail ProcessingParameters UpdateStatus WBD_Attributes WBD_Nav October 2012 Changes to the WBD data model include the elimination of the underscore "_" in field and table names, switching to camelCase. Other changes to the WBD data model include the elimination of the WBDPoint table, the WBDPointEvent table, and the WBDAtributes table. Fields have been added to the WBDHU12 polygon feature dataset that allow metadata record linking and also include the downstream attribute. NWIS drainage area line and polygon feature classes have been added also. New Model: WBD line dataset TNMID – Use to be PermanentID HULevel HUClass – New field populated with the number of digits of the hydrologic unit HUMod LineSource LoadDate – New field for feature level metadata (Source_FeatureID, Meta_SourceID, Source_DataDesc, Source_Originator fields removed from WBDLine dataset) WBD polygon dataset Fields included in all levels of hydrologic unit polygon datasets. TNMID – New field for feature level metadata MetaSourceID – New field for feature level metadata SourceDataDesc – New field for feature level metadata SourceOriginator – New field for feature level metadata SourceFeatureID – New field for feature level metadata LoadDate – New field for feature level metadata GNIS_ID = replaces Gaz_ID AreaAcres AreaSqKm States LoadDate HUC"digit" - for example: HUC12 Name Fields included with the 10-, 12-, 14- and 16- digit polygon datasets. HUType HUMod Fields included with the 12-, 14- and 16- digit polygon datasets. NContrbAcres NContrbSqKm Field included with the 12-digit polygon dataset. ToHUC – This attribute was included in the original WBD data model as HU_12_DS and represents the code of the next unit downstream. The values for this field were populated for the last version of the dataset in the old model by linking the 2 tables by the 12-digit code and calculating the value over. NWISDrainageArea polygon dataset added as a place holder for when these datasets are generated. Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMID SiteID AgencyCode SiteNumber StationName TotalDrainageArea ContributingDrainageArea NWISBoundary line dataset added as a place holder for when these datasets are generated. Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMID NonContributingDrainageArea polygon dataset added as a place holder for when these datasets are generated. Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate 2013 Changes to the WBD data model include updates to the field for the NonContributingDrainageArea polygon dataset, NWISBoundary line dataset and the NWISDrainageArea polygon dataset. This includes the addition of new fields and the re-naming of some of the existing fields. NWISDrainageArea polygon dataset: Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMIDNHDPointEvent – Renamed from ReferenceTNMID AgencyCode SiteNumber StationName ContributingDrainageAreaAcres – Originally called ContributingDrainageArea TotalDrainageAreaAcres – Originally called TotalDrainageArea ContributingDrainageAreaSqKm – New field TotalDrainageAreaSqKm – New field SiteID - Removed NWISBoundary line dataset: Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMIDPointEvent – Originally called ReferenceTNMID SiteNumber – New field NonContributingDrainageArea polygon dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate NonContributingSqKm – New field NonContributingAcres – New field ReferenceTNMID12digitHU – New field Tables ExternalCrosswalk - Originally called ExternalIDCrosswalk FeatureToHUMod - removed FeatureToMetadata HUMod - NewField MetaProcessDetail - Previous version called Meta_ProcessDetail MetaSourceDetail - Previous version called Meta_SourceDetail ProcessingParameters UpdateStatus WBD_Attributes - removed WBDNavigation - Originally WBD_Nav 2014 2015 Changes to the WBD data model include updates or additions to the fields for the NonContributingDrainageArea polygon dataset, NWISBoundary line dataset and the NWISDrainageArea polygon dataset. The majority of these are due to the length of the original name for the field. A new line dataset was created for Non Contributing Area called NonContributingDrainageLine NWISBoundary was re-named NWISDrainageLine NWISDrainageArea polygon dataset: Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate AreaSqKm – New Field AgencyCode SiteNumber StationName TotalAreaSqMi – New Field NWISTotalAreaSqMi – New Field ContributingAreaSqMi – New Field NWISContributingAreaSqMi – New Field ReferenceTNMIDNHDPointEvent Remarks – New Field ContributingDrainageAreaAcres – Removed TotalDrainageAreaAcres – Removed ContributingDrainageAreaSqKm – Removed TotalDrainageAreaSqKm – Removed NWISDrainageLine line dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate LengthKm – New Field LineSource – New Field Agency Code – New Field SiteNumber ReferenceTNMIDPointEvent – Removed NonContributingDrainageArea polygon dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate AreaSqKm – New Field NonContributingAreaSqKm – Re-named from NonContributingSqKm Remarks – New Field NonContributingAcres - Removed ReferenceTNMID12digitHU - Removed NonContributingDrainageLine line dataset – New dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate LengthKm LineSource 2016 WBDLine dataset TNMID HULevel - removed HUDigit - Originally called HUClass HUMod LineSource MetaSourceID LoadDate WBD polygon datasets Fields included with the 12-, 14- and 16- digit polygon datasets. NonContributingAreaAcres - previous version was NonContributingAcres NonContributingAreaSqKm - previous version was NonContributingSqKm 2016 Additional information about the processes used to create and maintain the WBD after June of 2012 can be found in the table called METAPROCESSDETAIL. The process descriptions are linked using the TNMID to the FEATURETOMETADATA table. In addition the METASOURCEDETAIL table can also be linked to determine the sources used to create or update the WBD data. 2012 Vector Simple FALSE 0 TRUE FALSE 0.0197940324 0.0223945998 Decimal seconds North American Datum of 1983 Geodetic Reference System 80 6378137.0 298.257222101 PutahCreek_HUC12_CopyFeatures Polygon feature class representing the 2-digit hydrologic unit boundaries (previously referred to as Regions) and are part of the WBD delivery. Federal Standards and Procedures for the National Watershed Boundary Dataset Feature Class 0 OBJECTID ObjectID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. TNMID TNMID String 40 0 0 MetaSourceID MetaSourceID String 40 0 0 SourceDataDesc SourceDataDesc String 100 0 0 SourceOriginator SourceOriginator String 130 0 0 SourceFeatureID SourceFeatureID String 40 0 0 LoadDate LoadDate Date 8 0 0 NonContributingAreaAcres NonContributingAreaAcres Double 8 0 0 NonContributingAreaSqKm NonContributingAreaSqKm Double 8 0 0 AreaSqKm AreaSqKm Double 8 0 0 AreaAcres AreaAcres Double 8 0 0 referencegnis_ids ReferenceGNIS_IDs String 50 0 0 Name Name String 120 0 0 States States String 50 0 0 HUC12 HUC12 String 12 0 0 HUType HUType String 1 0 0 HUMod HUMod String 30 0 0 ToHUC ToHUC String 16 0 0 Shape_Length shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. WBDHU4 Polygon feature class representing the 4-digit hydrologic unit boundaries (previously referred to as Subregions) that are part of the WBD delivery. Federal Standards and Procedures for the National Watershed Boundary Dataset HUC4 The HUC4 field is a unique 4-digit hydrologic unit code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes http://pubs.usgs.gov/tm/11/a3/) WBDHU6 Polygon feature class representing the 6-digit hydrologic unit boundaries (previously referred to as Basins) and are part of the WBD delivery. Federal Standards and Procedures for the National Watershed Boundary Dataset HUC6 The HUC6 field is a unique 6-digit hydrologic unit code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) WBDHU8 Polygon feature class representing the 8-digit hydrologic unit boundaries (previously referred to as Subbasins) and are part of the WBD delivery. Federal Standards and Procedures for the National Watershed Boundary Dataset HUC8 The HUC8 field is a unique 8-digit hydrologic unit code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes http://pubs.usgs.gov/tm/11/a3/) WBDHU10 Polygon feature class representing the 10-digit hydrologic unit boundaries (previously referred to as Watersheds). Federal Standards and Procedures for the National Watershed Boundary Dataset HUC10 The HUC10 field is a unique 10-digit hydrologic unit code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Provide Codeset Definition Reference (Citatation/URL) WBDHU12 Polygon feature class representing the 12-digit hydrologic unit boundaries (previously referred to as Subwatersheds). Federal Standards and Procedures for the National Watershed Boundary Dataset HUC12 The HUC12 field is a unique 12-digit hydrologic unit code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) ToHUC The 12-digit hydrologic unit ToHUC code attribute is the code for the 12-digit hydrologic unit that is downstream from and naturally receives the majority of the flow from another 12-digit hydrologic unit. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) WBDHU14 Polygon feature class representing the 14-digit hydrologic unit boundaries. Federal Standards and Procedures for the National Watershed Boundary Dataset HUC14 The HUC14 field is a unique 14-digit hydrologic unit code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) WBDHU16 Polygon feature class representing the 16-digit hydrologic unit boundaries. Federal Standards and Procedures for the National Watershed Boundary Dataset HUC16 The HUC16 field is a unique 16-digit hydrologic unit code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes http://pubs.usgs.gov/tm/11/a3/) WBDLine Line feature class defining the hydrologic unit boundaries Federal Standards and Procedures for the National Watershed Boundary Dataset HUDigit HUDigit is a domain-based field that indicates the minimum number of digits used to represent the hydrologic unit bounded by the line. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) HUMod Two-character, uppercase abbreviation used to track either a modification to natural overland flow that alters the location of the hydrologic unit boundary or special conditions that are applied to a specific boundary line segment. The value identifies the type of modification, from the list provided, that has been applied to the boundary segment. If more than one abbreviation is used, the list is separated by commas without spaces and organized from most to least predominant. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) LineSource LineSource represents the code for the base data used for delineating hydrologic unit boundaries. If more than one code is used,then the list is separated by a comma with no spaces with the most recent LineSource listed first in the sequence. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) NWISDrainageArea Polygon features representing PROVISIONAL contributing drainage area for select gage locations in the U.S. Geological Survey National Water Information System Federal Standards and Procedures for the National Watershed Boundary Dataset AreaSqKm Area of the gaged watershed Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Calculated polygon area, square kilometers AgencyCode Site Agency code U.S. Geological Survey National Water Information System U.S. Geological Survey National Water Information System http://help.waterdata.usgs.gov/ SiteNumber U.S. Geological Survey unique site identifier U.S. Geological Survey National Water Information System Unique code identifying a measurement site in the National Water Information System database StationName Site Name U.S. Geological Survey National Water Information System Common name associated with site in the National Water Information System database TotalAreaSqMi Total drainage area Federal Standards and Procedures for the National Watershed Boundary Dataset Total area of the polygon, square miles NWISTotalAreaSqMi Total drainage area reported in U.S. Geological Survey National Water Information System U.S. Geological Survey National Water Information System Total area in square miles ContributingAreaSqMi Total contributing drainage area, square miles Federal Standards and Procedures for the National Watershed Boundary Dataset Total contributing area, square miles NWISContributingAreaSqMi Contributing drainage area reported in U.S. Geological Survey National Water Information System U.S. Geological Survey National Water Information System Total contributing area, square miles ReferenceTNMIDNHDPointEvent Unique identifier for NHD point event representing gage Federal Standards and Procedures for the National Watershed Boundary Dataset Unique identifier that is automatically generated Remarks Remarks Federal Standards and Procedures for the National Watershed Boundary Dataset Free text holding remarks from reviewers and/or dataset originator NWISDrainageLine Line features representing the boundary of the contributing gaged drainage area Federal Standards and Procedures for the National Watershed Boundary Dataset LengthKm Length of the line Federal Standards and Procedures for the National Watershed Boundary Dataset Calculated line length, kilometers LineSource Code identifying the base data used for delineating hydrologic unit boundaries Federal Standards and Procedures for the National Watershed Boundary Dataset Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) AgencyCode Site Agency code U.S. Geological Survey National Water Information System U.S. Geological Survey National Water Information System http://help.waterdata.usgs.gov/ SiteNumber U.S. Geological Survey unique site identifier U.S. Geological Survey National Water Information System Unique code identifying a measurement site in the National Water Information System database WBDLine, WBDHU2, WBDHU4, WBDHU6, WBDHU8, WBDHU10, WBDHU12, WBDHU14, WBDHU16, NWISDrainageArea, NWISDrainageLine, NonContributingDrainageArea, NonContributingDrainageLine The following attribute fields are common to all feature classes within the WBD Federal Standards and Procedures for the National Watershed Boundary Dataset OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. TNMID TNMID (short for The National Map Identification) is a unique 40-character field that identifies each element in the database exclusively. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) TNMID is an automatically assigned code that stays with each element. When an element is updated or changed, TNMID links the element to the metadata record and documents the change. TNMID is also used to maintain relationship classes in the normalized data model. When an element is deleted or split, TNMID stays with the original element and is not used again. When an element is split, new permanent identifiers are assigned to the resultant parts. MetaSourceID MetaSourceID is a unique identifier that links the element to the metadata tables. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) MetaSourceID is a unique identifier that links the element to the metadata tables. This ID is generated and assigned automatically by the database and remains with the object permanently. SourceDataDesc SourceDataDesc is a space provided for a brief description of the type of base data used to update or change the current WBD. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) The WBD In-State Steward completes this field as part of the metadata form. SourceOriginator SourceOriginator is the description of the agency that created the base data used to improve the WBD. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) The WBD In-State Steward completes this field as part of the metadata form SourceFeatureID SourceFeatureID is a long, unique code. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) This code identifies the parent of the feature if the feature is the result of a split or merge, and it is automatically generated and assigned. LoadDate LoadDate represents the date when the data were loaded into the official USGS WBD ArcSDE database. The field is the effective date for all feature edits, and it is automatically generated. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) 12:00:00 AM 5/22/2015 9:18:54 AM SHAPE_Length Length of feature in internal units. Esri 0.00969668135620442 156.106394893564 WBDHU2, WBDHU4, WBDHU6, WBDHU8, WBDHU10, WBDHU12, WBDHU14, WBDHU16, NWISDrainageArea, NonContributingDrainageArea The following attribute field is common to all polygon feature classes within the WBD Federal Standards and Procedures for the National Watershed Boundary Dataset Shape_Area Area of feature in internal units squared. Esri 1.4877635179339E-06 9.79299310229808 WBDHU2, WBDHU4, WBDHU6, WBDHU8, WBDHU10, WBDHU12, WBDHU14, WBDHU16 The following attribute fields are common to the WBD hydrologic unit polygon datasets Federal Standards and Procedures for the National Watershed Boundary Dataset GNIS_ID GNIS_ID is a preassigned numeric field that uses a unique number to relate the name of the hydrologic unit to the GNIS names database. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Geographic Names Information System (GNIS) GNIS (http://gnis.usgs.gov/) AreaAcres The area of each hydrologic unit including non-contributing areas stored in acres AreaAcres is common to all polygon feature classes and is calculated at the 12-digit hydrologic unit from the intrinsic area value maintained by the GIS software; therefore, acreage values may vary from user calculations, depending on the projection of the data. North American Albers Equal Area Conic, North American Datum 1983 is the required projection to use for calculation. If the units of the area field are stored in square meters, then use the conversion factor 0.0002471. For example, 40,469,446 square meters multiplied by 0.0002471 =10,000 acres Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) 0 50000000 acres AreaSqKm The area of each hydrologic unit including non-contributing areas stored in square kilometers. AreaSqKm is calculated at the 12-digit hydrologic unit from the intrinsic area value maintained by the GIS software; therefore, the square kilometer values may vary from user calculations, depending on the projection of the data. North American Albers Equal Area Conic, North American Datum 1983 is the default projection. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) 0 100000 square kilometers States The States or outlying area attribute identifies the State(s) or outlying areas that the hydrologic unit falls within or touches. Will be populated with the 2 character state abbreviation or outlying area attribute for each area that the unit falls within in alphabetical order. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes http://pubs.usgs.gov/tm/11/a3/) Name Name refers to the GNIS name for the geographic area in which the hydrologic unit is located. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) WBDHU10, WBDHU12, WBDHU14, WBDHU16 The following attribute fields are common to the 10-digit, 12-digit, 14-digit and 16-digit WBD polygon datasets Federal Standards and Procedures for the National Watershed Boundary Dataset HUType The 12-digit hydrologic unit type attribute is the single-letter abbreviation for Watershed type from the list of official names provided in the WBD Standards. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) HUMod The hydrologic unit modification attribute is a two-character, uppercase abbreviation(s) for either (1) the type of modification to natural overland flow that alters the natural delineation of a hydrologic unit or (2) the special conditions GF-groundwater flow, GL-glacier, IF-ice field, KA-karst, and NC-noncontributing area. The value of the HUMod field helps to indicate where the modification to the hydrologic unit is located. If more than one abbreviation is used, the will be separated by commas without spaces and listed from most to least predominant. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) Section 6: Geospatial Data Structure and Attributes (http://pubs.usgs.gov/tm/11/a3/) WBDHU12, WBDHU14, WBDHU16, NWISDrainageArea and NonContributingDrainageArea The following attribute fields are common to the 12-digit, 14-digit and 16-digit WBD polygon datasets as well as the NWISDrainageArea, and NonContributingDrainageArea polygon datasets Federal Standards and Procedures for the National Watershed Boundary Dataset NonContributingAreaAcres The noncontributing area attribute represents the area, in acres, of hydrologic units that do not contribute to downstream accumulation of streamflow under normal flow conditions. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) 0 50000000 NonContributingAreaSqKm The noncontributing area attribute represents the area, in square kilometers, of hydrologic units that do not contribute to downstream accumulation of streamflow under normal flow conditions. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) 0 100000 The Watershed Boundary Dataset is a comprehensive set of digital spatial data that represents the surface drainages areas of the United States. The information included with the features includes a feature date, a unique common identifier, name, the feature length or area, and other characteristics. Names and their identifiers are assigned from the Geographic Names Information System. The data also contains relations that encode metadata. The names and definitions of all these feature attributes are in the Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD). The document is available online at http://pubs.usgs.gov/tm/11/a3/. The names and definitions of all fields within the WBD attribution are in the U.S. Geological Survey, Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD). The document is available online at http://pubs.usgs.gov/tm/11/a3/. Information about the attribute tables and fields are in Section 6: Geospatial Data Structure and Attributes U.S. Geological Survey Mailing

U.S. Geological Survey, National Geospatial Technical Operations Center, P.O. Box 25046

Denver CO 80225 1-877-275-8747 bpgeo@usgs.gov The distributor shall not be held liable for improper or incorrect use of this data, based on the description of appropriate/inappropriate uses described in this metadata document. It is strongly recommended that this data is directly acquired from the distributor and not indirectly through other sources which may have changed the data in some way. The Watershed Boundary Dataset is public information and may be interpreted by all organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application of the data. Federal, State, or local regulatory bodies are not to reassign to the U.S. Department of Agriculture-Natural Resources Conservation Service or the U.S. Geological Survey any authority for the decisions they make. Photographic or digital enlargement of these maps to scales greater than that at which they were originally delineated can result in misrepresentation of the data. If enlarged, the maps will not include the fine detail that would be appropriate for mapping at the small scale. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data from the source distributor. Vector Digital Data Set (Polygon) ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/WBD/National/GDB/National_WBD.zip None. No fees are applicable for obtaining the data set. 20160727 WBD Point of Contact U.S. Geological Survey Mailing

U.S. Geological Survey, National Geospatial Technical Operations Center, P.O. Box 25046

Denver CO 80225 1-877-275-8747 bpgeo@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 PutahCreek_HUC12_CopyFeatures file://\\WB-102699\C$\Users\fcorella\Documents\ArcGIS\Putah Creek\Putah Creek Watershed_Demand Analysis\Default.gdb Local Area Network 002 Geographic GCS_North_American_1983 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>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],AUTHORITY[&quot;EPSG&quot;,4269]]</WKT><XOrigin>-399.99999995622699</XOrigin><YOrigin>-399.99999997911999</YOrigin><XYScale>960000001.49011207</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>1.3333333300000001e-07</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem> CalculateField "HUC-12 Boundary" name !Name!.replace("-", "") Python # Text NO_ENFORCE_DOMAINS CopyFeatures "Putah Creek_HUC 12" "C:\Users\fcorella\Documents\ArcGIS\Putah Creek\Putah Creek Watershed_Demand Analysis\Default.gdb\PutahCreek_HUC12_CopyFeatures" # # # # 20250522 10051200 20250522 10051200 1.0 250000 24000 WBD Point of Contact U.S. Geological Survey 1-877-275-8747 U.S. Geological Survey, National Geospatial Technical Operations Center, P.O. Box 25046 Denver CO 80225 bpgeo@usgs.gov 20250522 ArcGIS Metadata 1.0 U.S. Geological Survey 1-877-275-8747 U.S. Geological Survey, National Geospatial Technical Operations Center, P.O. Box 25046 Denver CO 80225 bpgeo@usgs.gov None. No fees are applicable for obtaining the data set. Vector Digital Data Set (Polygon) ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/WBD/National/GDB/National_WBD.zip ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/WBD/National/GDB/National_WBD.zip File Geodatabase Feature Class HUC12_Putah Creek 2015-12-16 U.S. Department of Agriculture - Natural Resource Conservation Service (NRCS) U.S. Geological Survey (USGS) Other Federal, State, and local partners (see dataset specific metadata for details http://nhd.usgs.gov/wbd_metadata.html) U.S. Environmental Protection Agency (EPA) Vector Digital Data Set The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications. The intent of defining Hydrologic Units (HU) within the Watershed Boundary Dataset is to establish a base-line drainage boundary framework, accounting for all land and surface areas. Hydrologic units are intended to be used as a tool for water-resource management and planning activities particularly for site-specific and localized studies requiring a level of detail provided by large-scale map information. The WBD complements the National Hydrography Dataset (NHD) and supports numerous programmatic missions and activities including: watershed management, rehabilitation and enhancement, aquatic species conservation strategies, flood plain management and flood prevention, water-quality initiatives and programs, dam safety programs, fire assessment and management, resource inventory and assessment, water data analysis and water census. Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information U.S. Geological Survey 1-877-275-8747 U.S. Geological Survey, National Geospatial Technical Operations Center, P.O. Box 25046 Denver CO 80225 bpgeo@usgs.gov ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/WBD/National/GDB/National_WBD.jpg Thumbnail JPG image JPEG US United States U.S. Department of Commerce, 1977, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions (Federal Information Processing Standards 10-3): Washington, D.C., National Institute of Standards and Technology. 16-digit Hydrologic Unit Code Region 4-digit HUC Watershed Boundary Dataset 2-digit Basin 10-digit Hydrologic Units Sub-basin Watershed WBD 6-digit inlandWaters Sub-region Subwatershed 12-digit 14-digit 8-digit ISO 19115 Topic Category 16-digit Hydrologic Unit Code Region US 4-digit HUC United States Watershed Boundary Dataset 2-digit Basin 10-digit Hydrologic Units Sub-basin Watershed WBD 6-digit inlandWaters Sub-region Subwatershed 12-digit 14-digit 8-digit The distributor shall not be held liable for improper or incorrect use of this data, based on the description of appropriate/inappropriate uses described in this metadata document. It is strongly recommended that this data is directly acquired from the distributor and not indirectly through other sources which may have changed the data in some way. The Watershed Boundary Dataset is public information and may be interpreted by all organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application of the data. Federal, State, or local regulatory bodies are not to reassign to the U.S. Department of Agriculture-Natural Resources Conservation Service or the U.S. Geological Survey any authority for the decisions they make. Photographic or digital enlargement of these maps to scales greater than that at which they were originally delineated can result in misrepresentation of the data. If enlarged, the maps will not include the fine detail that would be appropriate for mapping at the small scale. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data from the source distributor. The distributor shall not be held liable for improper or incorrect use of this data, based on the description of appropriate/inappropriate uses described in this metadata document. It is strongly recommended that this data is directly acquired from the distributor and not indirectly through other sources which may have changed the data in some way. These data should not be used at scales greater than 1:24,000 for the purpose of identifying hydrographic watershed boundary feature locations in the United States. The Watershed Boundary Dataset is public information and may be interpreted by all organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application of the data. Photographic or digital enlargement of these maps to scales greater than that at which they were originally delineated can result in misrepresentation of the data. If enlarged, the maps will not include the fine detail that would be appropriate for mapping at the small scale. Digital data files are periodically updated and users are responsible for obtaining the latest version of the data from the source distributor. Acknowledgment of the origination agencies would be appreciated in products derived from these data. Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.3.0.52636 publication date 1980-01-01 2016-01-01 -179.229655487 179.856674735 -14.4246950943 71.4395725902 The WBD was produced and is maintained through a cooperative process involving state, federal and local partners. Process information for a specific state or region can be found within the state specific metadata located at http://nhd.usgs.gov/wbd_metdata.html. This metadata file has information for WBD features contained in the WBD feature dataset. This includes information about the 2-, 4-, 6-, 8-, 10-, 12-, 14-, 16-digit polygons and WBD_Line dataset. Users accessing the WBD via shapefile will need to search for the attribution related to that specific dataset. Lines, polygons and nodes conform to topological rules. Lines intersect only at nodes, and all nodes anchor the ends of lines. Lines do not overshoot or undershoot other lines where they are supposed to meet. There are no duplicate lines. Lines bound polygons. Gaps and overlaps among polygons do not exist. All polygons close. Lines, polygons and nodes conform to topological rules. Lines intersect only at nodes, and all nodes anchor the ends of lines. Lines do not overshoot or undershoot other lines where they are supposed to meet. There are no duplicate lines. Lines bound polygons. Gaps and overlaps among polygons do not exist. All polygons close. The WBD contains completed polygons at every level for the United States. All required fields within the polygon and line datasets are populated. Some of these fields may be populated with a zeor "0". The lines coincident with the international boundary are assigned a HULevel value of 0. These cannot be attributed until the adjacent international units are added at which point the highest level of hydrologic unit can be determined. A detailed description of delineation methods and full attribute definitions can be found in the WBD Standards. Users are advised to carefully read the metadata record for additional details. All attempts were made to verify 100% of the initially required attributes using 24K digital raster graphics (DRGs) as the base. Additional datasets, like the Geographic Names Information System (GNIS) and NHD, may also have been used to verify attribution. The accuracy of this data is dependent on the level of detail of the source material and the interpretation procedures for capturing that source. Other sources and methods may have been used to create or update WBD data. In some cases, additional information may be found in the WBD Metadata table. The WBD was produced using a variety of digital spatial data including but not limited to Digital Raster Graphics (DRGs), aerial imagery and digital elevation models (DEM). It is assumed these data are mapped at approximately 1:24,000-scale and contain a minimum inherent error of +/- 40 feet. It should be noted that the WBD is undergoing continuous update as source data improves and as hydrologic interpretations are refined. While general rules of hydrology were used in delineation, locations of boundaries may be subjective in some cases. Additional information may be found in the WBD Metadata table. A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable. The original dataset was reviewed by USGS personnel using on-screen techniques with DRGs as the base map. All hydrologic units within the dataset that were less than 3,000 acres were dissolved out. 2003-01-01 First draft of metadata created by NRCS using METADATA Editor in ArcCatalog ver. 9.1 sp.1 hu12_geo83 2007-01-24 Below is a list of updates (from 2011 to 2016) resulting from harmonization work with Canada. Alaska: Legacy 19010101 Southeast Mainland name and code were retired and the area subdivided into four units. New codes and names are as follows and accepted by the National Technical Team and approved with Canadian and Alaska partners (USFS): 19010104 Bradfield Canal 19010105 Burroughs Bay 19010106 Headwaters Portland Canal 19010107 Outlet Portland Canal Legacy 19010201 Mainland had a portion broken out. 19010201 will be preserved and the small piece broekn out in order to harmonize with Canada. The smaller piece will have the new code 19010205 and the name will be Lower Iskut. Revised again 5/31/11: 19010201 Mainland was broken into three new units 19010206 Holkham Bay 19010207 Stikine River 19010208 Thomas Bay Legacy 19010301 Lynn Canal now has the Taku River broken out to accommodate Canada. Taku River will be code 19010304. The National Technical Coordinators (NTC) accepts this. Revised again 5/31/11:(AK group consulted along with Pete Steeves, Kim Jones, Stephen Daw, Karen Hanson): 19070101 Atlin Lake was broken out of the legacy Lynn Canal 19010301 and is part of the newly accepted Subregion 1907 Legacy 19010302 Glacier Bay was subdivided along the ridge separating out the ocean flow. The unit broken out is: 19010406 Palma Bay (this unit also includes a portion of the original 19010401) Note: Legacy 19010302 Glacier Bay will be retained although the area is now smaller. Other options didn’t make as much sense. Legacy 19010303 Chilkat-Skagway Rivers was subdivided into: 19070102 Bennett Lake 19070103 Tagish Lake 19070104 Takhini River Note: 19010303 Chilkat-Sakgway Rivers is retained Legacy 19010401 Yakutat Bay name and code retired and the area subdivided into 4 new units. New codes and names are as follows 19010403 Tatshenshini River 19010404 Alsek River 19010405 Yakutat Bay-Gulf of Alaska 19010406 Palma Bay (This new unit also includes a portion of the original 19010302) Idaho and Washington - 2013 - The Columbia River Basin and Puget Sound Coastal area was updated to include the harmonized 8-, 10, and 12-digit hydrologic units within Canada. This harmonized data was created with contributions from US and Canadian Federal, State, Provincial and local partners. The British Columbia 20K Fresh Water Atlas watershed data and DEM data were used to create the units within Canada. Border units were updated through a review/agreement process with local and state/provincial partners using the best available data (DEM, DRG, Imagery, Field Verification). During the harmonization effort there were some 8-digit updates that were agreed to. Legacy 17010101 Upper Kootenai name will change to Middle Kootenai to coordinate with Canada since there is an Upper Kootenay solely in Canada. Legacy 17010101 Upper Kootenai boundary changed slightly. The WBD Technical Team recommends retaining the legacy name and code. A new subbasin was created as a result of the international border harmonization which slightly goes into the U.S. (the portion of 17010101 referenced above). The WBD Technical Team recommends coding this unit with the next down sequential code which would be 17010106 and using the name that Canada refers to this hydrologic unit as “Elk”. 17110001 legacy name “Fraser” is being changed to “Sumas River” to match with Canada, and because the Fraser River doesn’t flow through this unit. Montana: 1001 flows into Canada and the Saskatchewan River and not into the Missouri River as originally thought. As such this 4-digit hydrologic units was moved from region 10 to 09. 0904 - Saskatchewan River 090400- Upper South Saskatchewan River (This matches the Canadian FDA at the WSCSDA level (sub drainage area)). 10010001 name and code have been retired, and this area is now 09040002 Belly 10010002 name and code have been retired, and this area is now 09040001 St. Marys Minnesota: 2014 - Rainy River Basin was updated to include the harmonized 8-, 10- and 12-digit hydrologic units with Canada. This harmonized data was created over a 6 month time period with cooperation from Federal, State, Provincial and Local Partners. Some of the boundaries within MN were updated using the MN LiDAR data. The MN LiDAR was also used in the creation of boundaries within Canada when the LiDAR data overlapped into Canada. The other boundaries within Canada were generated using the province of Ontario’s 20K DEM and Hydrography data. There were some 8-digit updates as a result of the harmonization effort. 09030004 Upper Rainy has been retired 09030004 is now a part of 09030008 the Lower Rainy 2 new 8-digit units were broken out in Canada 09030010 – Big Turtle River-Rainy Lake 09030011 – Shoal Lake North Dakota: Legacy 09020313 Pembina was subdivided into two new units. The legacy name and code were retired. The new codes and names are: 09020315 Upper Pembina River 09020316 Lower Pembina River 2014- Souris River Basin was updated to include the harmonized 8-, 10- and 12-digit hydrologic units with Canada. This harmonized data was created over a 6 month time period with cooperation from Federal, State, Provincial and Local Partners. There were some 8-digit updates as a result of the harmonization effort. Legacy 09010001 Upper Souris has now been subdivided. That code and name have been retired and the new units are: 09010006 Long Creek 09010007 Headwaters Souris River 09010008 Moose Mountain Creek-Souris River North Dakota and Minnesotta: Red River Basin Legacy 09020311 Lower Red name is being changed to Middle Red in order to harmonize with Canada. Lower Red is the Basin name for this entire area but the impact to change at that level isn’t known so won’t change. 2016 - Red River Basin was updated to include the harmonized 8-, 10-, and 12-digit hydrologic units within Canada. Some of the boundaries within MN and ND were updated using Lidar data. Lidar data was also used in the development of hydrological units within Canada. Where Lidar data did not exist the province of Manitoba provided either 1:20,000 scale or 1:50,000 scale digital elevation data for boundary delineations. Maine All HUC8 boundaries were updated with the Harmonized US/CAN border into Canada. Coding was updated as needed. 01010001 was subdivided into 6 new units. 01010001 code retired 01010001 HUC8 name retired (Upper St. John) New codes and HUC8 names 01010006 – Headwaters Saint John River 01010007 – Big Black River-Saint John River 01010008 – St. Francis River-Saint John River 01010009 – Little River-Saint John River 01010010 – Becaguimec Stream-Saint John River (This unit now contains a portion of the original 01010005) 01010011 – Keswick River-Saint John River 01010004 - Boundary within Canada was updated with harmonized boundary. 01010005 - Boundary was updated with US/CAN harmonized boundary. A small portion of 01010005 was moved into the new 01010010 so that 01010005 is a standard HUC 8 unit for the Meduxnekeag River. 01020001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01030001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01030002 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01040001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 01050001 - Boundary was updated with US/CAN harmonized boundary. This boundary was developed during the initial St. Croix pilot and includes updates within the US as well as Canada. Coding left as is 01050002 - The harmonized boundary for 01050004 required updates to 01050002. A portion of 01050002 was moved to 01050004 to accommodate the new harmonized boundary. This required re-coding of the entire 01050002. 01050004 - Boundary was updated with US/CAN harmonized boundary. A portion of 01050002 was moved into this unit. Codes were updated to reflect this boundary change. 04150600 – Chaudiere River This is a new unit that was created when the WBD boundary was moved from the international boundary on to the ridgelines Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. 04150500 - Boundary was updated with US/CAN harmonized boundary. Coding left as is New Hampshire 01040001 - Original WBD boundary between the US and Canada used the international boundary. However when this boundary was compared to the 1:24,000 scale DRGs in the US and 1:20,000 hypsography in Canada the international boundary and ridgelines were not coincident. The Boundary was updated to the ridgeline. Coding not updated. 04150500 - Boundary was updated with US/CAN harmonized boundary. Coding left as is New York 04150301 - Subdivided into 2 new units 04150301 code retired 04150301 HUC8 name retired (Upper St. Lawrence) New Codes and HUC8 names 04150309 – Headwaters St. Lawrence River 04150310 – Raisin River-St. Lawrence River 04150306 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150307 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150308 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150408 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150409 - Boundary was updated with US/CAN harmonized boundary. Coding left as is Vermont 04150407 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150408 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150409 - Boundary was updated with US/CAN harmonized boundary. Coding left as is 04150500 - Boundary was updated with US/CAN harmonized boundary. Coding left as is Great Lakes The boundaries for Lake Ontario (0415200), Lake Erie (04120200), Lake Huron (04080300) and Lake Superior (04020300) were updated using the new inland lakes coastal method. All updates were coordinated with the WBD state steward for each adjacent state. The area within Wisconsin was excluded per the state partner’s request. All surrounding 8-digits (units touching the lakes) were reviewed and updated as well. 2016-01-01 Mexico Harmonization (2010-2014) 2010 - Harmonization with Texas and Mexico; HUC12 polygons and line rework by USGS Water Science Center, Salt Lake City, UT. 2014 - Harmonized 8-, 10 and 12-digit units for all border 8-digit units with Mexico were incorporated into the WBD. These datasets were developed through a coordinated effort between the USGS and INEGI along with input from State and local partners. Due to the harmonization effort some 8-digit boundaries may have been adjusted. In addition to this the 10- and 12-digit boundaries along the border might have also been adjusted based on the availability of better base information within Mexico provided by INEGI. 2014-01-01 The following edits (2012 - present) were completed during national quality control review performed by the WBD national technical edit team in the USGS Utah Water Science Center. Updates may not affect all hydrologic units. Edits by USGS Water Science Center in Salt Lake City, Utah. 1. Reviewed all the ToHUC codes within the 12-digit polygons and made updates as necessary. All updates were coordinated and approved by WBD state stewards. 2. Updated Linesource code (misspellings, removed extra spaces etc.) where needed to match Federal Standards 3. Updated and corrected errors in the HU_Mod fields where needed to match Federal Standards. 4. Updated State field for Canada (CN) and Mexico (MX) based on the new version of the Standards 5. Reviewed all the Names related to each 10-digit and 12-digit polygon and made updates as necessary. All updates were coordinated and approved by the WBD State stewards 6. Checked and updated HU_Level field where HU_Level = 99 or = null 7. Updated the 8-digit outer boundary for units flowing into ocean units by extending the boundary offshore to the 3 nautical mile limit provided by NOAA. All updates were coordinated and approved by the WBD state stewards 2016-01-01 The following are 8-digit updates (from 2009-2016) that were approved by the WBD National Technical Coordinators as required by the WBD Standards. These may include name/code updates or boundary updates that were implemented in the WBD at some point during the creation or maintenance of the data. Alaska: Legacy 19020401 Anchorage boundary has changed by about 20% of its area. 19020203 (Prince William Sound) Added a new subbasin unit for Prince William Sound. Adjusted huc8 boundaries between 19020104, 19020201 and 19020202 to better reflect surface water flow and to assist with delineating the Prince William Sound as a new unit. Legacy 19020302 Upper Kenai Peninsula has changed by about 20% of its area. Legacy 19030304 Wood River was subdivided which has created a reduced area for the 19030304 Wood River and put Igushik River into its own hydrologic unit with a new code of 19030306. Legacy 19030402 Farewell Lake was divided into 19030406 Middle Flork Kuskokwim River and 19030407 South Fork Kuskokwim River. Legacy 19040204 Black River was subdivided. 19040204 will remain the Black River, and a new unit 19040206 Grass River is broken out. 19040502: The outlet for subbasin 19040502 was moved downstream from the current break across Tanana River at a confluence with a minor tributary to the more prominent confluence with Robertson River. This edit resulted in the addition of 2 subwatersheds to 19040502 and the removal of 2 watersheds from 19040503. Legacy 19040504 Delta River linework changed significantly. The legacy 19040504 had 3 separate outlets; Delta River, Delta Creek and Little Delta River. The boundary was adjusted so that 19040504 contained just the Delta River as a standard unit. The Delta Creek and Little Delta River where moved into 19040507. Legacy 19040507 Tanana Flats Linework changed significantly. 19040606 - Legacy boundary for 19040606 had the outlet at a location across the Huslia River downstream from the outlet of the South Fork Huslia River. The boundary was adjusted downstream to the major confluence where the Huslia River drains into the Koyukuk River, thus creating a standard HUC8 for the Huslia River. 1905: 19050202, 19050203, 19050301, 19050304, 19050403 19050202’s boundary was adjusted so that this unit contained all frontal drainage areas flowing into the southern portion of Kotzebue Sound. 19050203’s boundary was adjusted to that the unit included Eschscholtz Bay and all of the drainage areas flowing into it. 19050301’s boundary was adjusted so that this unit has one outlet and includes Selawik Lake. The frontal drainages flowing into Hotham Inlet were moved into unit 19050304. 19050304’s boundary was adjusted so that the unit included Hotham Inlet and the frontal drainages flowing into it. 19050403’s boundary was adjusted to a buffer distance of 1000 meters off shore. 19050500 - Kotzebue Sound: Added a new HUC8 unit to AK WBD for Kotzebue Sound. Inner coastal units that ended at the shore line were extended offshore to a 1000 meter buffer distance. Legacy 19060204 Ikpikpuk River absorbed Inaru River from Legacy 19060202 Legacy unit 19060202 contained 2 different stream systems flowing into 2 different bodies of water. The Inaru River flows into Admiralty Bay while the Kugrua River and the other small frontal drainages flows into the Chukchi Sea. The boundary was adjusted so that flow into Admiralty Bay/Dease Inlet was separate from flow into Chukchi Sea. The Inaru River, Admiralty Bay/Dease Inlet and all associated frontal drainages were added to subbasin 19060204. New Subbasin 19060206 is being named Admiralty Bay-Dease Inlet. This area use to be part of Subbasin 19060204 19020800 Cook Inlet is a new hydrologic unit as recommended by the Alaska in state stakeholders. 2011 - These updates where proposed by Forest Service partners within the Tongass National Forest. When major changes are made to the HUC8 container (i.e. the container is subdivided into multiple units) the national protocol has been to retire the old HUC8 code and name and assign new codes and names to the updates units 19010202 (Kuiu-Kupreanof-Mitkof-Etolin-Zarembo-Wrangell) is being retired and 2 new HUC8 units were formed. Kuiu Island, Mitkof Island and Kupreanof Island were split out into their own 8-digit unit HUC8 - 19010210 HU8_Name – Kuiu-Kupreanof-Mitkof Islands Zarembo Island, Wrangell Island and Etolin Island were subdivided into their own 8 digit unit HUC8 – 19010209 HU8_Name – Etolin-Zarembo-Wrangell Islands 19010203 (Baranof-Chichagof Islands)19010203 was retired. 19010203 was subdivided 3 new units; 2 island units and 1 channel unit. Chichagof Island was split out into its own 8-digit unit HUC8 – 19010211 HU8_Name – Chichagof Island Baranof and Kruzof Islands were subdivided into their own 8-digit unit HUC8 – 19010212 HU8_Name – Baranof Island Created a new water hydrologic unit for the channel between Chichagof Island and Baranof/Kruzof Islands. This new water unit would become a HUC10 unit within the "Water" subbasin 19010500. HUC10 – 1901050011 HUC10_Name - Peril Strait Because of the varying width of the channel the boundary was graduated from a 1,000 meter buffer to 100 meter buffer from the Low Tide Shoreline. The Low Tide Shoreline was provided by the Forest Service. A 1,000 meter buffer was used in the open channel to match the buffer distance used within the rest of SE AK WBD. There is a narrow portion of the channel where the boundary was gradually reduced from the 1,000 meter buffer to a 100 meter buffer. 2014 - Updated Alaska’s region 1904 based on a request from NHD program and approved by state partners. 1904 was subdivided 3 new 4-digit hydrologic units. The new units are 1907 – Upper Yukon River 190701 – Headwaters Yukon River 1908 – Middle Yukon River 1909 – Lower Yukon River 2016 - Updates to AK 8-digit units based on harmonization effort with Canada 19070504 (Eagle Creek-Yukon River) is being subdivided 2 new 8-digit hydrologic units. Original code and name are being retired. HUC8 - 19070505 (Tatonduk River-Yukon River) HUC8 - 19070506 (Charley River-Yukon River) 19060503 (Beaufort Lagoon) is being subdivided 3 new 8-digit hydrologic units. Original code and name are being retired. HUC8 - 19060504 (Kongakuat River-Beaufort Lagoon) HUC8 - 19060505 (Firth River) HUC8 - 19060506 (Babbage River) is completely within Canada Yukon Territory Arizona: Legacy 15010009 Fort Pierce Wash name changed to Fort Pearce Wash to account for misspell. Legacy 15010007 Hualapai Wash name should change as the wash is now in the adjacent Subbasin. Changed to Red Lake California: Legacy 18010109 Gualala-Salmon had an area the size of several 12-digit HUs that has been aggregated into the adjacent legacy 18050005 Tomales-Drake Bays as a result of coastal implementation. This is approved by the in-state WBD Steward and T3.Legacy 18030012 and new 18030012 Tulare-Buena Vista Lakes changed to Tulare Lake Bed as the boundary has changed so significantly that Buena Vista Lakes are no longer in the adjusted hydrologic unit. Legacy 18040001 and new 18040007 name changed from Upper Chowchilla-Upper Fresno to Fresno River as the Chowchilla is no longer in the adjusted hydrologic unit. Legacy 18040002 and new 18040002 name changed from Middle San Joaquin-Lower Merced-Lower Stanislaus to Lower San Joaquin River as Merced and Stanislaus Rivers are no longer in the adjusted hydrologic unit. Legacy 18050006 San Francisco-Coastal South will absorb 4 coastal 12-digit HUs from legacy 18060001 San Lorenzo-Soquel as a result of coastal implementation. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Legacy 18060006 Central Coastal will absorb an area the size of 6 12-digit HU’s from legacy 18060012 Carmel which all drains directly to the Pacific Ocean. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Portions of legacy 18060011, 18060012, and part of 19060001 will become a new subbasin accounting for all of these frontal pieces. It will be coded 18060015 and named Monterey Bay. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Legacy 18060013 Santa Barbara Coastal had an area the size of one 12-digit HU which will be aggregated with legacy 18070101 Ventura as a result of coastal implementation. This is approved by the in-state WBD Steward and the WBD National Technical Coordinators (NTC) Legacy 18070104 Santa Monica Bay had an area the size of several 12-digit HUs which will be aggregated with legacy 18070106 San Gabriel as a result of coastal implementation. This is approved by the in-state WBD Steward and WBD National Technical Coordinators (NTC) Legacy 18100200 has now been subdivide into 18100201, 18100202, 18100203, and 18100204. The legacy name for 180100200 has been retained as the Salton Sea for new code 18100204. New names for the other subdivisions have been reviewed and accepted as follows: 18100201 Whitewater River 18100202 Carrizo Creek 18100203 San Felipe Creek Legacy 18040002 and new 18040051 name Middle San Joaquin-Lower Merced-Lower Stanislaus was change to Rock Creek-French Camp Slough. Legacy 18020124 Honcut Headwaters name and code have been retired. It was absorbed in to legacy 18020106 Lower Feather to form the new 18020159. WBD National Technical Coordinators (NTC) recommends the name retain the combined legacy names of Honcut Headwaters-Lower Feather. Legacy 18020120 Upper Butte and legacy 18020105 Lower Butte have been retired. The two hydrologic units were combined in to the new accepted code and name of 18020158 Butte Creek. Legacy 18020119 Mill-Big Chico, 18020103 Sacramento-Lower Thomes, and 18020114 Upper Elder Thomes have been retired. The accepted names and codes for the newly delineated hydrologic units to replace those areas are 18020157 Big Chico Creek-Sacramento River, 18020156 Thomes Creek-Sacramento River, and 18020155 Paynes Creek-Sacramento River. The following legacy names and codes have been retired: 18020113 Cottonwood Headwaters, 18020102 Lower Cottonwood, 18020101 Sacramento-Lower Cow-Lower Clear, 18020118 Upper Cow-Battle, and 18020112 Sacramento-Upper Clear. The accepted codes for the newly delineated hydrologic units that replace those areas will be 18020151-18020154. The approved names are: 18020151 Cow Creek 18020152 Cottonwood Creek 18020153 Battle Creek 18020154 Clear Creek-Sacramento River 18010111 code and name have been retired and the area has been subdivided. A portion is in 18010109 Gualala-Salmon, and the other portion in 18050005 Tomales-Drake Bays 18020107 code and name have been retired and the area is now included with 18020125 Upper Yuba 18020108 code and name have been retired and the area is now included with 18020126 Upper Bear 18020110 code and name have been retired and the area is now included with 18020116 Upper Cache 18030008 code and name have been retired and the area is now included with 18030012 Tulare Lake Bed 18030011 code and name have been retired and the area has been subdivided. A portion is in 18030012 Tulare Lake Bed, and the other portion in 18030009 Upper Dry 18040004 code and name have been retired and the area is now part of 18040011 Upper Calaveras California 18040005 code and name have been retired and the area is now part of 18040003 San Joaquin Delta, 18040012, 18040012 Upper Mokelumne, and 18040003 Upper Cosumnes 18020109 code and name have been retired and the area is now part of 18020163 Lower Sacramento 18020117 code and name have been retired and the area is now part of 18020162 Upper Putah 18060001 code and name have been retired, and the areas are now subdivided between 18050006 San Francisco Coastal South and 18060015 Monterey Bay 18060011 code and name have been retired and now is subdivided between 18060015 Monterey Bay and 18060005 Salinas 18060012 code and name have been retired and the area is now part of 18060006 Central Coast and 18060015 Monterey Bay Colorado: Legacy 14010006 Parachute-Roan name and code have been retired. This area has been combined with 14010005 Colorado Headwaters-Plateau. Connecticut: 01100007 code and name have been retired and the area is now part of 0110004 Quinnipiac Delaware: 02060007 code and name have been retired and this area now included with 02080110 Tangier 02060008 code and name have been retired and this area now included with 02080109 Nanticoke 02060009 code and name have been retired and this area is now part of 02080111 Pokomoke-Western Lower Delmarva and 02080110 Tangier 02060010 code and name have been retired and this area is now part of 02040303 Chincoteague Florida: Legacy 03090202 Everglades has been modified as follows: The largest part of 03090202 Everglades carries the legacy code and name. Subdivided out new Subbasin 03090206 Florida Southeast Coast Combined additional smaller portions of 03090202 with adjacent Subbasins. Louisiana: 2009 - USGS Water Science Center, Salt Lake City, UT. Recoded all HUC12 codes and DS codes for 08080100 Atchafalaya to 08080101 Atchafalaya. 08080101 is the correct code. During the development of the WBD the 12-digit hydrologic units were miscoded as 08080100. Maine Updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details. Massachusetts: 01070002 is retained for the headwaters of this original code, but ¾ of the original area is now coded 01070006. The area now coded 01070006 retained the original name for the area of legacy 01070002 and is called Merrimack, whereas 01070002 is not called Winnipesaukee River (other state documentation supporting this decision) New Hampshire: Legacy 01070002 Merrimack was subdivided in to 01070002 Merrimack to the North and 01070006 Merrimack River to the South. The technical team requests that the portion to the South retain the legacy code and name of 01070002, Merrimack, and that the northern hydrologic unit receive the code and name 01070006 Winnipesaukee River. There is no Merrimack River in the northern portion and the southern portion most closely resembles the legacy delineation. Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details New York: Legacy 04150307 English-Salmon was subdivided into 04150307 Salmon and 04150308 Chateaugay-English. The Technical Team accepts this change. 2010- Edits were made to Lake Champlain Basin moving it from Region 02 to Region 04. Update to delineation data in Lake Champlain area on the US side and Canadian side. All lines within Canada are draft delineations only. These boundaries were based on Canada's 1:50,000 National Hydrography Network Work Units or were delineated using either 1:50,000 scale topos or CDED elevation data. These boundaries have not been fully reviewed or approved by either the Canadian federal or provincial agencies and are subject to change. Border polygons are based off of these internal boundaries within Canada and so are also subject to change within Canada. Edits made by USGS Salt Lake City, Water Science Center: to the Lake Champlain and surrounding subbasins to remove all shoreline representations from the WBD. The codes, DS codes and names where updated where necessary. 02010004 name and code have been retired, and this area was subdivided, part is in 04150404 Ausable River and part in 04150408 Lake Champlain. 02010006 name and code have been retired and this area was subdivided. Part is in 04150406 Saranac River and part is in 04150408 Lake Champlain. 02010001 name and code have been retired and this area was subdivided into 04150401 Mettawee River and 04150408 Lake Champlain The new Lake Champlain unit 04150408 is made up of parts of original HUC250K units 02010001, 02010002, 02010003, 02010004, 02010005, 02010006 and 02010007 Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details North Carolina: Legacy subbasin 03030001 and legacy subbasin 03020106 have been combined and recommended for acceptance as a new 6-digit Basin 030203 Onslow Bay. Legacy Subbasin 03030001 New has been recoded and renamed to 03020302 New River. The technical team accepts the new code and name. Legacy Subbasin 03020106 Bogue-Core Sounds has been recoded and renamed to 03020301 White Oak River. The technical team accepts the new code and name. 03040207 code and name are still in use, but the portion that stretches along the coast has been broken out to a new 03040208 Coastal Carolina North Dakota: Legacy 10160007 East Missouri Coteau, changed to North Fork Snake as that is a better hydrologic representation of the hydrologic unit. Legacy 10170103 South Big Sioux Coteau name changed to Lake Thompson Legacy 10170201 Middle Big Sioux Coteau name changed to Upper Big Sioux Legacy 10170202 Upper Big Sioux name changed to Middle Big Sioux Because legacy 10170203 Lower Big Sioux should stay the same, it doesn’t make sense not to have a middle and an upper. Although the boundaries have significantly relocated, it seem like most viable option is to retain the Upper, Middle, Lower naming convention. Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details Oregon: Legacy 17100304 Coos was subdivided into 17100304 Coos to the north and 17100306 Sixes to the south. The Technical team accepts this change. South Carolina: Legacy 03040207 Carolina Coastal-Sampit was subdivided into a southern portion called 03040207 Carolina Coastal-Sampit and a northern portion newly coded and named 03040208 Coastal Carolina. The technical team recognizes this as an acceptable solution, however, future coastal delineations may require additional modification. Legacy 03050202 South Carolina Coastal has now been subdivided into subbasins 03050202 South Carolina Coastal and 03050209 Bulls Bay with an additional portion of 03050202 being aggregated in with legacy 03050201 Legacy 03050208 Broad-St. Helena has had the following modifications which the NTC concurs with: 03050208 Broad-St. Helena code and name retained into a much smaller unit capturing only the Broad-St. Helena Rivers Subdivided into new 03060110 Calibogue Sound-Wright River, and now part of the adjacent Subregion to the south. Subdivided into new 03050210 St. Helena Island portion combined with 03050207 Salkehatchie. Legacy 03050205 name is changed to Four Hole Swamp (from Edisto...this name was flipped with the hydrologic unit the water feature resides in). The WBD National Technical Team recommended that this name not be reused as it has been historically assigned to 03050206, but all in state interagency folks felt strongly that it should be reused as that is by far the predominant feature for the HU. Reports since 2005 reflect this. Legacy 03050206 name is changed to Edisto River to reflect the major hydrologic feature. South Dakota: 2009 - Edits made by in-state data steward; all of sub-basin 10160010 (now retired) was recoded to 10160011 (Lower James); In addition to the recoding of this 8-digit level unit in the James Basin, this group of edits primarily consisted of minor corrections to linework and 12-digit downstream codes, populating ncontrb_A fields of selected 12-digit units, and tweaking selected 5th- and 6th-level unit names to facilitate merging with GNIS. Texas: Legacy13070008 Lower Pecos was subdivided into a northern and southern portion. The northern portion retains the 13070008 code but name should be Pecos. The new subdivided 13070012 hydrologic unit should carry the legacy name Lower Pecos. Legacy 13090002 Lower Rio Grande is missing from the current WBD. Vermont: Updated 01110000 from Region 01 to Region 04 and is now 04150500 (St. Francois River). Craig Johnston (USGS) pointed out that this unit contains the St. Francois River which flows up into Canada and then dumps into the St Lawrence River. Region 01 is Maine Coastal drainage's while region 04 is St. Lawrence drainage's, so this unit really belongs in region 04. 2010- Edits were made to Lake Champlain Basin moving it from Region 02 to Region 04. Update to delineation data in Lake Champlain area on the US side and Canadian side. All lines within Canada are draft delineations only. These boundaries were based on Canada's 1:50,000 National Hydrography Network Work Units or were delineated using either 1:50,000 scale topos or CDED elevation data. These boundaries have not been fully reviewed or approved by either the Canadian federal or provincial agencies and are subject to change. Border polygons are based off of these internal boundaries within Canada and so are also subject to change within Canada. Edits made by USGS Salt Lake City, Water Science Center: to the Lake Champlain and surrounding subbasins to remove all shoreline representations from the WBD. The codes, DS codes and names where updated where necessary. 02010001 name and code have been retired and this area was subdivided into 04150401 Mettawee River and 04150408 Lake Champlain. 02010002 name and code have been retired and this area was subdivided into 04150402 Otter Creek and 04150408 Lake Champlain. 02010003 name and code have been retired and this area was subdivided into 04150403 Winooski River and 04150408 Lake Champlain. 02010005 name and code have been retired and this area was subdivided into 04150405 Lamoille River and 04150408 Lake Champlain. 02010007 name and code have been retired and this area was subdivided into 04150407 Missiquoi River and 04150408 Lake Champlain. The new Lake Champlain unit 04150408 is made up of parts of original HUC250K units 02010001, 02010002, 02010003, 02010004, 02010005, 02010006 and 02010007. Additional updates at the 8-digit occurred as a result of the US/Canada harmonization effort. See process section on Canadian harmonization for these details Wisconsin: Legacy 07090001Upper Rock keeps the same code and name but the original hydrologic unit delineation changed significantly. Legacy 07090002 Crawfish keeps the same code and is renamed to Middle Rock. The original hydrologic unit delineation changed significantly. 2016-01-01 The following section describes updates to the WBD data model (2012-2016). July 2012 National responsibility for stewardship and maintenance of the WBD transferred from NRCS to the USGS. As a result the WBD data model was updated and the data was incorporated into the NHD database. WBD model updated based on input from NRCS, USGS, NHD program and user community. WBD polygon dataset subdivided into individual polygon datasets for each level of hydrologic units. Two additional datasets added for the next 2 levels of subdivisions (14- and 16-digit) but are not required for each state to populate these. Attribute tables for polygons and lines were updated with some fields being added, renamed or removed. See below for a list of changes. WBD Line attribute table changes: Old Model: HU_LEVEL LINESOURCE META_ID – removed – Feature level metadata functionality is added to track updates in the new model LEFT_HUC_8 – removed RIGHT_HUC_8 – removed New Model: Permanent_Identifier – New field for feature level metadata Source_FeatureID – New field for feature level metadata Meta_SourceID – New field for feature level metadata Source_DataDesc – New field for feature level metadata Source_Originator – New field for feature level metadata HU_Level HU_Class – New field populated with the number of digits of the hydrologic unit LoadDate – New field for feature level metadata LineSource WBD Polygon attribute table changes: Codes and names moved from single polygon dataset to the appropriate hydrologic unit dataset for each level Old Model: HUC_8 – moved to 8-digit polygon dataset HUC_10 – moved to 10-digit polygon dataset HUC_12 – moved to 12-digit polygon dataset ACRES – re-named to AREA_ACRES NCONTRB_A HU_10_GNIS – Replaced with Gaz_ID HU_12_GNIS – Replaced with Gaz_ID HU_10_DS – Removed from new model HU_10_NAME – moved to 10-digit polygon dataset HU_10_MOD – moved to 10-digit polygon dataset HU_10_TYPE – moved to 10-digit polygon dataset HU_12_DS – moved to 12-digit polygon dataset HU_12_NAME – moved to 12-digit polygon dataset HU_12_MOD – moved to 12-digit polygon dataset HU_12_TYPE – moved to 12-digit polygon dataset META_ID - removed – Feature level metadata functionality is added to track updates in the new model STATES New Model: Fields included in all levels of hydrologic unit polygon datasets. Gaz_ID – Old model was the GNIS field Area_Acres - Renamed Area_SqKm – New field States LoadDate- New field HUC_"#digit" - For Example: HUC12 HU_"#digit"_Name - For Example: HU_12_Name Fields included with the 10-, 12-, 14- and 16- digit polygon datasets. HU_"#digit"_Type - For Example HU_12_Type HU_"#digit"_Mod - For Example HU_12_Mod Fields included with the 12-, 14- and 16- digit polygon datasets. NContrb_Acres NContrb_SqKm – New field Tables New Model: ExternalIDCrosswalk FeaturetoHUMod FeatureToMetadata Meta_ProcessDetail Meta_SourceDetail ProcessingParameters UpdateStatus WBD_Attributes WBD_Nav October 2012 Changes to the WBD data model include the elimination of the underscore "_" in field and table names, switching to camelCase. Other changes to the WBD data model include the elimination of the WBDPoint table, the WBDPointEvent table, and the WBDAtributes table. Fields have been added to the WBDHU12 polygon feature dataset that allow metadata record linking and also include the downstream attribute. NWIS drainage area line and polygon feature classes have been added also. New Model: WBD line dataset TNMID – Use to be PermanentID HULevel HUClass – New field populated with the number of digits of the hydrologic unit HUMod LineSource LoadDate – New field for feature level metadata (Source_FeatureID, Meta_SourceID, Source_DataDesc, Source_Originator fields removed from WBDLine dataset) WBD polygon dataset Fields included in all levels of hydrologic unit polygon datasets. TNMID – New field for feature level metadata MetaSourceID – New field for feature level metadata SourceDataDesc – New field for feature level metadata SourceOriginator – New field for feature level metadata SourceFeatureID – New field for feature level metadata LoadDate – New field for feature level metadata GNIS_ID = replaces Gaz_ID AreaAcres AreaSqKm States LoadDate HUC"digit" - for example: HUC12 Name Fields included with the 10-, 12-, 14- and 16- digit polygon datasets. HUType HUMod Fields included with the 12-, 14- and 16- digit polygon datasets. NContrbAcres NContrbSqKm Field included with the 12-digit polygon dataset. ToHUC – This attribute was included in the original WBD data model as HU_12_DS and represents the code of the next unit downstream. The values for this field were populated for the last version of the dataset in the old model by linking the 2 tables by the 12-digit code and calculating the value over. NWISDrainageArea polygon dataset added as a place holder for when these datasets are generated. Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMID SiteID AgencyCode SiteNumber StationName TotalDrainageArea ContributingDrainageArea NWISBoundary line dataset added as a place holder for when these datasets are generated. Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMID NonContributingDrainageArea polygon dataset added as a place holder for when these datasets are generated. Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate 2013 Changes to the WBD data model include updates to the field for the NonContributingDrainageArea polygon dataset, NWISBoundary line dataset and the NWISDrainageArea polygon dataset. This includes the addition of new fields and the re-naming of some of the existing fields. NWISDrainageArea polygon dataset: Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMIDNHDPointEvent – Renamed from ReferenceTNMID AgencyCode SiteNumber StationName ContributingDrainageAreaAcres – Originally called ContributingDrainageArea TotalDrainageAreaAcres – Originally called TotalDrainageArea ContributingDrainageAreaSqKm – New field TotalDrainageAreaSqKm – New field SiteID - Removed NWISBoundary line dataset: Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate ReferenceTNMIDPointEvent – Originally called ReferenceTNMID SiteNumber – New field NonContributingDrainageArea polygon dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate NonContributingSqKm – New field NonContributingAcres – New field ReferenceTNMID12digitHU – New field Tables ExternalCrosswalk - Originally called ExternalIDCrosswalk FeatureToHUMod - removed FeatureToMetadata HUMod - NewField MetaProcessDetail - Previous version called Meta_ProcessDetail MetaSourceDetail - Previous version called Meta_SourceDetail ProcessingParameters UpdateStatus WBD_Attributes - removed WBDNavigation - Originally WBD_Nav 2014 2015 Changes to the WBD data model include updates or additions to the fields for the NonContributingDrainageArea polygon dataset, NWISBoundary line dataset and the NWISDrainageArea polygon dataset. The majority of these are due to the length of the original name for the field. A new line dataset was created for Non Contributing Area called NonContributingDrainageLine NWISBoundary was re-named NWISDrainageLine NWISDrainageArea polygon dataset: Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate AreaSqKm – New Field AgencyCode SiteNumber StationName TotalAreaSqMi – New Field NWISTotalAreaSqMi – New Field ContributingAreaSqMi – New Field NWISContributingAreaSqMi – New Field ReferenceTNMIDNHDPointEvent Remarks – New Field ContributingDrainageAreaAcres – Removed TotalDrainageAreaAcres – Removed ContributingDrainageAreaSqKm – Removed TotalDrainageAreaSqKm – Removed NWISDrainageLine line dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate LengthKm – New Field LineSource – New Field Agency Code – New Field SiteNumber ReferenceTNMIDPointEvent – Removed NonContributingDrainageArea polygon dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate AreaSqKm – New Field NonContributingAreaSqKm – Re-named from NonContributingSqKm Remarks – New Field NonContributingAcres - Removed ReferenceTNMID12digitHU - Removed NonContributingDrainageLine line dataset – New dataset Attribute Fields: TNMID MetaSourceID SourceDataDesc SourceOriginator SourceFeatureID LoadDate LengthKm LineSource 2016 WBDLine dataset TNMID HULevel - removed HUDigit - Originally called HUClass HUMod LineSource MetaSourceID LoadDate WBD polygon datasets Fields included with the 12-, 14- and 16- digit polygon datasets. NonContributingAreaAcres - previous version was NonContributingAcres NonContributingAreaSqKm - previous version was NonContributingSqKm 2016-01-01 The original hydrologic unit boundaries were hand-digitized on a digitizing table from the USGS 7.5 minute quadrangles. This process occurred over a span of approximately 20 years from 1980 to 2000. 2000-01-01 From 2005 to 2011, original dataset attribution was reviewed and revised to reflect the updates and changes made to the dataset. These revisions to the attribution were also made to ensure that the dataset met the Federal Standards for Delineation of Hydrologic Unit Boundaries. The NHD was used during this process to help with the naming and downstream coding of each unit. In some instances there were name discrepancies between the NHD and what was printed on the DRGs. In these instances the DRGs were used instead of the NHD. 2011-01-01 Additional information about the processes used to create and maintain the WBD after June of 2012 can be found in the table called METAPROCESSDETAIL. The process descriptions are linked using the TNMID to the FEATURETOMETADATA table. In addition the METASOURCEDETAIL table can also be linked to determine the sources used to create or update the WBD data. 2012-01-01 The new WBD (2005-2011) was reviewed on-screen by USGS, EPA, or NRCS personnel using DRGs and DOQss as base maps. Hydrologic Units that were less than 10,000 acres (for the 12-digit units) and 40,000 acres (for the 10-digit units) were reviewed and if possible were dissolved out. Along the coastal areas, standard watersheds that fell within the federal guideline's size criteria (12-digit: 10,000-40,000 acres, 10-digit: 40,000-250,000 acres) were delineated. If possible the remaining frontals were left as their own units. Frontals that did not meet the size criteria were grouped together with other frontals within the overall 8-digit or 10-digit unit. Hydrologic units that were greater than 40,000 acres (12-digit units) and 250,000 acres (10-digit units) were reviewed. If possible these units where then subdivided into smaller units that met the size criteria. In some cases, additional breaks within the unit would not have made sense or have been very useful. For example: When the majority of the unit was made up by a major waterbody feature such as a lake or reservoir and the surrounding tributaries were too small to delineate as their own unit. In these instances the unit was left big. 2011-01-01 From 2005 to 2011, hydrologic units from surrounding states were used to edgematch watershed boundaries as they were developed. 2011-01-01 Hydrography data used for reference in watershed boundary delineation process 24000 National Hydrography Dataset NHD 2016-01-01 U.S. Geological Survey U.S. Geological Survey Denver, CO Vector Digital Data http://nhd.usgs.gov/data.html Publication date Aerial imagery used for reference in watershed boundary delineation 24000 Digital Orthophoto Quads USGSDOQ U.S. Geological Survey U.S. Geological Survey Unknown Raster Digital Data http://datagateway.nrcs.usda.gov 20100325 Reference dataset for the 2-, 4-, 6- and 8-digit hydrologic units 250000 250K Hydrologic Unit Boundaries HUC250K 1994-01-01 U.S. Geological Survey Reston, Virginia U.S. Geological Survey Vector Digital Data http://water.usgs.gov/lookup/getspatial?huc250k Publication date 1994-01-01 Base information for hydrologic unit delineation. 24000 7.5 Minute Topographic Quadrangle Sheets USGSTopo U.S. Geological Survey Reston, Virginia U.S. Geological Survey Paper Map Publication date 1884-01-01 2006-01-01 Base information for hydrologic unit delineation. 24000 U.S. Geological Survey Digital Raster Graphic (DRG) USGSDRG 1999-01-01 U.S. Geological Survey U.S. Geological Survey Unknown Raster Digital Data http://datagateway.nrcs.usda.gov Publication date 1999-01-01 original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VS5TLiBHZW9sb2dpY2FsIFN1cnZleSAoVVNHUyk8L29yaWdpbj4NCiAgICAgICAgPG9yaWdpbj5V LlMuIERlcGFydG1lbnQgb2YgQWdyaWN1bHR1cmUgLSBOYXR1cmFsIFJlc291cmNlIENvbnNlcnZh dGlvbiBTZXJ2aWNlIChOUkNTKTwvb3JpZ2luPg0KICAgICAgICA8b3JpZ2luPlUuUy4gRW52aXJv bm1lbnRhbCBQcm90ZWN0aW9uIEFnZW5jeSAoRVBBKTwvb3JpZ2luPg0KICAgICAgICA8b3JpZ2lu Pk90aGVyIEZlZGVyYWwsIFN0YXRlLCBhbmQgbG9jYWwgcGFydG5lcnMgKHNlZSBkYXRhc2V0IHNw ZWNpZmljIG1ldGFkYXRhIGZvciBkZXRhaWxzIGh0dHA6Ly9uaGQudXNncy5nb3Yvd2JkX21ldGFk YXRhLmh0bWwpPC9vcmlnaW4+DQogICAgICAgIDxwdWJkYXRlPjIwMTUxMjE2PC9wdWJkYXRlPg0K ICAgICAgICA8dGl0bGU+TmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8 L3RpdGxlPg0KICAgICAgICA8Z2VvZm9ybT5WZWN0b3IgRGlnaXRhbCBEYXRhIFNldDwvZ2VvZm9y bT4NCiAgICAgICAgPG9ubGluaz5mdHA6Ly9yb2NreWZ0cC5jci51c2dzLmdvdi92ZGVsaXZlcnkv RGF0YXNldHMvU3RhZ2VkL0h5ZHJvZ3JhcGh5L1dCRC9OYXRpb25hbC9HREIvTmF0aW9uYWxfV0JE LnppcDwvb25saW5rPg0KICAgICAgPC9jaXRlaW5mbz4NCiAgICA8L2NpdGF0aW9uPg0KICAgIDxk ZXNjcmlwdD4NCiAgICAgIDxhYnN0cmFjdD5UaGUgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQg KFdCRCkgaXMgYSBjb21wcmVoZW5zaXZlIGFnZ3JlZ2F0ZWQgY29sbGVjdGlvbiBvZiBoeWRyb2xv Z2ljIHVuaXQgZGF0YSBjb25zaXN0ZW50IHdpdGggdGhlIG5hdGlvbmFsIGNyaXRlcmlhIGZvciBk ZWxpbmVhdGlvbiBhbmQgcmVzb2x1dGlvbi4gSXQgZGVmaW5lcyB0aGUgYXJlYWwgZXh0ZW50IG9m IHN1cmZhY2Ugd2F0ZXIgZHJhaW5hZ2UgdG8gYSBwb2ludCBleGNlcHQgaW4gY29hc3RhbCBvciBs YWtlIGZyb250IGFyZWFzIHdoZXJlIHRoZXJlIGNvdWxkIGJlIG11bHRpcGxlIG91dGxldHMgYXMg c3RhdGVkIGJ5IHRoZSAiRmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBO YXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKSIg4oCcU3RhbmRhcmTigJ0g KGh0dHA6Ly9wdWJzLnVzZ3MuZ292L3RtLzExL2EzLykuIFdhdGVyc2hlZCBib3VuZGFyaWVzIGFy ZSBkZXRlcm1pbmVkIHNvbGVseSB1cG9uIHNjaWVuY2UtYmFzZWQgaHlkcm9sb2dpYyBwcmluY2lw bGVzLCBub3QgZmF2b3JpbmcgYW55IGFkbWluaXN0cmF0aXZlIGJvdW5kYXJpZXMgb3Igc3BlY2lh bCBwcm9qZWN0cywgbm9yIHBhcnRpY3VsYXIgcHJvZ3JhbSBvciBhZ2VuY3kuIFRoaXMgZGF0YXNl dCByZXByZXNlbnRzIHRoZSBoeWRyb2xvZ2ljIHVuaXQgYm91bmRhcmllcyB0byB0aGUgMTItZGln aXQgKDZ0aCBsZXZlbCkgZm9yIHRoZSBlbnRpcmUgVW5pdGVkIFN0YXRlcy4gIFNvbWUgYXJlYXMg bWF5IGFsc28gaW5jbHVkZSBhZGRpdGlvbmFsIHN1YmRpdmlzaW9ucyByZXByZXNlbnRpbmcgdGhl IDE0LSBhbmQgMTYtZGlnaXQgaHlkcm9sb2dpYyB1bml0IChIVSkuIEF0IGEgbWluaW11bSwgdGhl IEhVcyBhcmUgZGVsaW5lYXRlZCBhdCAxOjI0LDAwMC1zY2FsZSBpbiB0aGUgY29udGVybWlub3Vz IFVuaXRlZCBTdGF0ZXMsIDE6MjUsMDAwLXNjYWxlIGluIEhhd2FpaSwgUGFjaWZpYyBiYXNpbiBh bmQgdGhlIENhcmliYmVhbiwgYW5kIDE6NjMsMzYwLXNjYWxlIGluIEFsYXNrYSwgbWVldGluZyB0 aGUgTmF0aW9uYWwgTWFwIEFjY3VyYWN5IFN0YW5kYXJkcyAoTk1BUykuIEhpZ2hlciByZXNvbHV0 aW9uIGJvdW5kYXJpZXMgYXJlIGJlaW5nIGRldmVsb3BlZCB3aGVyZSBwYXJ0bmVycyBhbmQgZGF0 YSBleGlzdCBhbmQgd2lsbCBiZSBpbmNvcnBvcmF0ZWQgYmFjayBpbnRvIHRoZSBXQkQuIFdCRCBk YXRhIGFyZSBkZWxpdmVyZWQgYXMgYSBkYXRhc2V0IG9mIHBvbHlnb25zIGFuZCBjb3JyZXNwb25k aW5nIGxpbmVzIHRoYXQgZGVmaW5lIHRoZSBib3VuZGFyeSBvZiB0aGUgcG9seWdvbi4gICBXQkQg cG9seWdvbiBhdHRyaWJ1dGVzIGluY2x1ZGUgaHlkcm9sb2dpYyB1bml0IGNvZGVzIChIVUMpLCBz aXplIChpbiB0aGUgZm9ybSBvZiBhY3JlcyBhbmQgc3F1YXJlIGtpbG9tZXRlcnMpLCBuYW1lLCBk b3duc3RyZWFtIGh5ZHJvbG9naWMgdW5pdCBjb2RlLCB0eXBlIG9mIHdhdGVyc2hlZCwgbm9uLWNv bnRyaWJ1dGluZyBhcmVhcywgYW5kIGZsb3cgbW9kaWZpY2F0aW9ucy4gVGhlIEhVQyBkZXNjcmli ZXMgd2hlcmUgdGhlIHVuaXQgaXMgaW4gdGhlIGNvdW50cnkgYW5kIHRoZSBsZXZlbCBvZiB0aGUg dW5pdC4gV0JEIGxpbmUgYXR0cmlidXRlcyBjb250YWluIHRoZSBoaWdoZXN0IGxldmVsIG9mIGh5 ZHJvbG9naWMgdW5pdCBmb3IgZWFjaCBib3VuZGFyeSwgbGluZSBzb3VyY2UgaW5mb3JtYXRpb24g YW5kIGZsb3cgbW9kaWZpY2F0aW9ucy48L2Fic3RyYWN0Pg0KICAgICAgPHB1cnBvc2U+VGhlIGlu dGVudCBvZiBkZWZpbmluZyBIeWRyb2xvZ2ljIFVuaXRzIChIVSkgd2l0aGluIHRoZSBXYXRlcnNo ZWQgQm91bmRhcnkgRGF0YXNldCBpcyB0byBlc3RhYmxpc2ggYSBiYXNlLWxpbmUgZHJhaW5hZ2Ug Ym91bmRhcnkgZnJhbWV3b3JrLCBhY2NvdW50aW5nIGZvciBhbGwgbGFuZCBhbmQgc3VyZmFjZSBh cmVhcy4gSHlkcm9sb2dpYyB1bml0cyBhcmUgaW50ZW5kZWQgdG8gYmUgdXNlZCBhcyBhIHRvb2wg Zm9yIHdhdGVyLXJlc291cmNlIG1hbmFnZW1lbnQgYW5kIHBsYW5uaW5nIGFjdGl2aXRpZXMgcGFy dGljdWxhcmx5IGZvciBzaXRlLXNwZWNpZmljIGFuZCBsb2NhbGl6ZWQgc3R1ZGllcyByZXF1aXJp bmcgYSBsZXZlbCBvZiBkZXRhaWwgcHJvdmlkZWQgYnkgbGFyZ2Utc2NhbGUgbWFwIGluZm9ybWF0 aW9uLiBUaGUgV0JEIGNvbXBsZW1lbnRzIHRoZSBOYXRpb25hbCBIeWRyb2dyYXBoeSBEYXRhc2V0 IChOSEQpIGFuZCBzdXBwb3J0cyBudW1lcm91cyBwcm9ncmFtbWF0aWMgbWlzc2lvbnMgYW5kIGFj dGl2aXRpZXMgaW5jbHVkaW5nOiB3YXRlcnNoZWQgbWFuYWdlbWVudCwgcmVoYWJpbGl0YXRpb24g YW5kIGVuaGFuY2VtZW50LCBhcXVhdGljIHNwZWNpZXMgY29uc2VydmF0aW9uIHN0cmF0ZWdpZXMs IGZsb29kIHBsYWluIG1hbmFnZW1lbnQgYW5kIGZsb29kIHByZXZlbnRpb24sIHdhdGVyLXF1YWxp dHkgaW5pdGlhdGl2ZXMgYW5kIHByb2dyYW1zLCBkYW0gc2FmZXR5IHByb2dyYW1zLCBmaXJlIGFz c2Vzc21lbnQgYW5kIG1hbmFnZW1lbnQsIHJlc291cmNlIGludmVudG9yeSBhbmQgYXNzZXNzbWVu dCwgd2F0ZXIgZGF0YSBhbmFseXNpcyBhbmQgd2F0ZXIgY2Vuc3VzLjwvcHVycG9zZT4NCiAgICAg IDxzdXBwbGluZj5UaGUgV0JEIHdhcyBwcm9kdWNlZCBhbmQgaXMgbWFpbnRhaW5lZCB0aHJvdWdo IGEgY29vcGVyYXRpdmUgcHJvY2VzcyBpbnZvbHZpbmcgc3RhdGUsIGZlZGVyYWwgYW5kIGxvY2Fs IHBhcnRuZXJzLiBQcm9jZXNzIGluZm9ybWF0aW9uIGZvciBhIHNwZWNpZmljIHN0YXRlIG9yIHJl Z2lvbiBjYW4gYmUgZm91bmQgd2l0aGluIHRoZSBzdGF0ZSBzcGVjaWZpYyBtZXRhZGF0YSBsb2Nh dGVkIGF0IGh0dHA6Ly9uaGQudXNncy5nb3Yvd2JkX21ldGRhdGEuaHRtbC4gVGhpcyBtZXRhZGF0 YSBmaWxlIGhhcyBpbmZvcm1hdGlvbiBmb3IgV0JEIGZlYXR1cmVzIGNvbnRhaW5lZCBpbiB0aGUg V0JEIGZlYXR1cmUgZGF0YXNldC4gVGhpcyBpbmNsdWRlcyBpbmZvcm1hdGlvbiBhYm91dCB0aGUg Mi0sIDQtLCA2LSwgOC0sIDEwLSwgMTItLCAxNC0sIDE2LWRpZ2l0IHBvbHlnb25zIGFuZCBXQkRf TGluZSBkYXRhc2V0LiBVc2VycyBhY2Nlc3NpbmcgdGhlIFdCRCB2aWEgc2hhcGVmaWxlIHdpbGwg bmVlZCB0byBzZWFyY2ggZm9yIHRoZSBhdHRyaWJ1dGlvbiByZWxhdGVkIHRvIHRoYXQgc3BlY2lm aWMgZGF0YXNldC48L3N1cHBsaW5mPg0KICAgIDwvZGVzY3JpcHQ+DQogICAgPHRpbWVwZXJkPg0K ICAgICAgPHRpbWVpbmZvPg0KICAgICAgICA8cm5nZGF0ZXM+DQogICAgICAgICAgPGJlZ2RhdGU+ MTk4MDwvYmVnZGF0ZT4NCiAgICAgICAgICA8ZW5kZGF0ZT4yMDE2PC9lbmRkYXRlPg0KICAgICAg ICA8L3JuZ2RhdGVzPg0KICAgICAgPC90aW1laW5mbz4NCiAgICAgIDxjdXJyZW50PnB1YmxpY2F0 aW9uIGRhdGU8L2N1cnJlbnQ+DQogICAgPC90aW1lcGVyZD4NCiAgICA8c3RhdHVzPg0KICAgICAg PHByb2dyZXNzPkNvbXBsZXRlPC9wcm9ncmVzcz4NCiAgICAgIDx1cGRhdGU+QXMgbmVlZGVkPC91 cGRhdGU+DQogICAgPC9zdGF0dXM+DQogICAgPHNwZG9tPg0KICAgICAgPGJvdW5kaW5nPg0KICAg ICAgICA8d2VzdGJjPi0xNzkuMjI5NjU1NDg3PC93ZXN0YmM+DQogICAgICAgIDxlYXN0YmM+MTc5 Ljg1NjY3NDczNTwvZWFzdGJjPg0KICAgICAgICA8bm9ydGhiYz43MS40Mzk1NzI1OTAyPC9ub3J0 aGJjPg0KICAgICAgICA8c291dGhiYz4tMTQuNDI0Njk1MDk0Mzwvc291dGhiYz4NCiAgICAgIDwv Ym91bmRpbmc+DQogICAgPC9zcGRvbT4NCiAgICA8a2V5d29yZHM+DQogICAgICA8dGhlbWU+DQog ICAgICAgIDx0aGVtZWt0PklTTyAxOTExNSBUb3BpYyBDYXRlZ29yeTwvdGhlbWVrdD4NCiAgICAg ICAgPHRoZW1la2V5PmlubGFuZFdhdGVyczwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5X YXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldDwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5X QkQ8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+SHlkcm9sb2dpYyBVbml0czwvdGhlbWVr ZXk+DQogICAgICAgIDx0aGVtZWtleT5IeWRyb2xvZ2ljIFVuaXQgQ29kZTwvdGhlbWVrZXk+DQog ICAgICAgIDx0aGVtZWtleT5IVUM8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+UmVnaW9u PC90aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5PlN1Yi1yZWdpb248L3RoZW1la2V5Pg0KICAg ICAgICA8dGhlbWVrZXk+QmFzaW48L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+U3ViLWJh c2luPC90aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5PldhdGVyc2hlZDwvdGhlbWVrZXk+DQog ICAgICAgIDx0aGVtZWtleT5TdWJ3YXRlcnNoZWQ8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVr ZXk+Mi1kaWdpdDwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT40LWRpZ2l0PC90aGVtZWtl eT4NCiAgICAgICAgPHRoZW1la2V5PjYtZGlnaXQ8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVr ZXk+OC1kaWdpdDwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT4xMC1kaWdpdDwvdGhlbWVr ZXk+DQogICAgICAgIDx0aGVtZWtleT4xMi1kaWdpdDwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVt ZWtleT4xNC1kaWdpdDwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT4xNi1kaWdpdDwvdGhl bWVrZXk+DQogICAgICA8L3RoZW1lPg0KICAgICAgPHBsYWNlPg0KICAgICAgICA8cGxhY2VrdD5V LlMuIERlcGFydG1lbnQgb2YgQ29tbWVyY2UsIDE5NzcsIENvdW50cmllcywgZGVwZW5kZW5jaWVz LCBhcmVhcyBvZiBzcGVjaWFsIHNvdmVyZWlnbnR5LCBhbmQgdGhlaXIgcHJpbmNpcGFsIGFkbWlu aXN0cmF0aXZlIGRpdmlzaW9ucyAoRmVkZXJhbCBJbmZvcm1hdGlvbiBQcm9jZXNzaW5nIFN0YW5k YXJkcyAxMC0zKTogV2FzaGluZ3RvbiwgRC5DLiwgTmF0aW9uYWwgSW5zdGl0dXRlIG9mIFN0YW5k YXJkcyBhbmQgVGVjaG5vbG9neS48L3BsYWNla3Q+DQogICAgICAgIDxwbGFjZWtleT5VUzwvcGxh Y2VrZXk+DQogICAgICAgIDxwbGFjZWtleT5Vbml0ZWQgU3RhdGVzPC9wbGFjZWtleT4NCiAgICAg IDwvcGxhY2U+DQogICAgPC9rZXl3b3Jkcz4NCiAgICA8YWNjY29uc3Q+Tm9uZTwvYWNjY29uc3Q+ DQogICAgPHVzZWNvbnN0PlRoZSBkaXN0cmlidXRvciBzaGFsbCBub3QgYmUgaGVsZCBsaWFibGUg Zm9yIGltcHJvcGVyIG9yIGluY29ycmVjdCB1c2Ugb2YgdGhpcyBkYXRhLCBiYXNlZCBvbiB0aGUg ZGVzY3JpcHRpb24gb2YgYXBwcm9wcmlhdGUvaW5hcHByb3ByaWF0ZSB1c2VzIGRlc2NyaWJlZCBp biB0aGlzIG1ldGFkYXRhIGRvY3VtZW50LiBJdCBpcyBzdHJvbmdseSByZWNvbW1lbmRlZCB0aGF0 IHRoaXMgZGF0YSBpcyBkaXJlY3RseSBhY3F1aXJlZCBmcm9tIHRoZSBkaXN0cmlidXRvciBhbmQg bm90IGluZGlyZWN0bHkgdGhyb3VnaCBvdGhlciBzb3VyY2VzIHdoaWNoIG1heSBoYXZlIGNoYW5n ZWQgdGhlIGRhdGEgaW4gc29tZSB3YXkuIFRoZXNlIGRhdGEgc2hvdWxkIG5vdCBiZSB1c2VkIGF0 IHNjYWxlcyBncmVhdGVyIHRoYW4gMToyNCwwMDAgZm9yIHRoZSBwdXJwb3NlIG9mIGlkZW50aWZ5 aW5nIGh5ZHJvZ3JhcGhpYyB3YXRlcnNoZWQgYm91bmRhcnkgZmVhdHVyZSBsb2NhdGlvbnMgaW4g dGhlIFVuaXRlZCBTdGF0ZXMuIFRoZSBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCBpcyBwdWJs aWMgaW5mb3JtYXRpb24gYW5kIG1heSBiZSBpbnRlcnByZXRlZCBieSBhbGwgb3JnYW5pemF0aW9u cywgYWdlbmNpZXMsIHVuaXRzIG9mIGdvdmVybm1lbnQsIG9yIG90aGVycyBiYXNlZCBvbiBuZWVk czsgaG93ZXZlciwgdGhleSBhcmUgcmVzcG9uc2libGUgZm9yIHRoZSBhcHByb3ByaWF0ZSBhcHBs aWNhdGlvbiBvZiB0aGUgZGF0YS4gUGhvdG9ncmFwaGljIG9yIGRpZ2l0YWwgZW5sYXJnZW1lbnQg b2YgdGhlc2UgbWFwcyB0byBzY2FsZXMgZ3JlYXRlciB0aGFuIHRoYXQgYXQgd2hpY2ggdGhleSB3 ZXJlIG9yaWdpbmFsbHkgZGVsaW5lYXRlZCBjYW4gcmVzdWx0IGluIG1pc3JlcHJlc2VudGF0aW9u IG9mIHRoZSBkYXRhLiAgSWYgZW5sYXJnZWQsIHRoZSBtYXBzIHdpbGwgbm90IGluY2x1ZGUgdGhl IGZpbmUgZGV0YWlsIHRoYXQgd291bGQgYmUgYXBwcm9wcmlhdGUgZm9yIG1hcHBpbmcgYXQgdGhl IHNtYWxsIHNjYWxlLiAgRGlnaXRhbCBkYXRhIGZpbGVzIGFyZSBwZXJpb2RpY2FsbHkgdXBkYXRl ZCBhbmQgdXNlcnMgYXJlIHJlc3BvbnNpYmxlIGZvciBvYnRhaW5pbmcgdGhlIGxhdGVzdCB2ZXJz aW9uIG9mIHRoZSBkYXRhIGZyb20gdGhlIHNvdXJjZSBkaXN0cmlidXRvci4gQWNrbm93bGVkZ21l bnQgb2YgdGhlIG9yaWdpbmF0aW9uIGFnZW5jaWVzIHdvdWxkIGJlIGFwcHJlY2lhdGVkIGluIHBy b2R1Y3RzIGRlcml2ZWQgZnJvbSB0aGVzZSBkYXRhLjwvdXNlY29uc3Q+DQogICAgPHB0Y29udGFj Pg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+ VS5TLiBHZW9sb2dpY2FsIFN1cnZleTwvY250b3JnPg0KICAgICAgICA8L2NudG9yZ3A+DQogICAg ICAgIDxjbnRhZGRyPg0KICAgICAgICAgIDxhZGRydHlwZT5NYWlsaW5nPC9hZGRydHlwZT4NCiAg ICAgICAgICA8YWRkcmVzcz5VLlMuIEdlb2xvZ2ljYWwgU3VydmV5LCBOYXRpb25hbCBHZW9zcGF0 aWFsIFRlY2huaWNhbCBPcGVyYXRpb25zIENlbnRlciwgUC5PLiBCb3ggMjUwNDY8L2FkZHJlc3M+ DQogICAgICAgICAgPGNpdHk+RGVudmVyPC9jaXR5Pg0KICAgICAgICAgIDxzdGF0ZT5DTzwvc3Rh dGU+DQogICAgICAgICAgPHBvc3RhbD44MDIyNTwvcG9zdGFsPg0KICAgICAgICA8L2NudGFkZHI+ DQogICAgICAgIDxjbnR2b2ljZT4xLTg3Ny0yNzUtODc0NzwvY250dm9pY2U+DQogICAgICAgIDxj bnRlbWFpbD5icGdlb0B1c2dzLmdvdjwvY250ZW1haWw+DQogICAgICA8L2NudGluZm8+DQogICAg PC9wdGNvbnRhYz4NCiAgICA8YnJvd3NlPg0KICAgICAgPGJyb3dzZW4+ZnRwOi8vcm9ja3lmdHAu Y3IudXNncy5nb3YvdmRlbGl2ZXJ5L0RhdGFzZXRzL1N0YWdlZC9IeWRyb2dyYXBoeS9XQkQvTmF0 aW9uYWwvR0RCL05hdGlvbmFsX1dCRC5qcGc8L2Jyb3dzZW4+DQogICAgICA8YnJvd3NlZD5UaHVt Ym5haWwgSlBHIGltYWdlPC9icm93c2VkPg0KICAgICAgPGJyb3dzZXQ+SlBFRzwvYnJvd3NldD4N CiAgICA8L2Jyb3dzZT4NCiAgICA8ZGF0YWNyZWQ+RnVuZGluZyBmb3IgdGhlIFdhdGVyc2hlZCBC b3VuZGFyeSBEYXRhc2V0IChXQkQpIHdhcyBwcm92aWRlZCBieSB0aGUgVVNEQS1OUkNTLCBVU0dT IGFuZCBFUEEgYWxvbmcgd2l0aCBvdGhlciBmZWRlcmFsLCBzdGF0ZSBhbmQgbG9jYWwgYWdlbmNp ZXNpZXMuIFJlcHJlc2VudGF0aXZlcyBmcm9tIG1hbnkgYWdlbmNpZXMgY29udHJpYnV0ZWQgYSBz dWJzdGFudGlhbCBhbW91bnQgb2YgdGltZSBhbmQgc2FsYXJ5IHRvd2FyZHMgcXVhbGl0eSByZXZp ZXcgYW5kIHVwZGF0aW5nIG9mIHRoZSBkYXRhc2V0IGluIG9yZGVyIHRvIG1lZXQgdGhlIFdCRCBT dGFuZGFyZHMuIEFja25vd2xlZGdtZW50IG9mIHRoZSBvcmlnaW5hdGluZyBhZ2VuY2llcyB3b3Vs ZCBiZSBhcHByZWNpYXRlZCBpbiBwcm9kdWN0cyBkZXJpdmVkIGZyb20gdGhlc2UgZGF0YS4gU2Vl IGRhdGFzZXQgc3BlY2lmaWMgbWV0YWRhdGEgZm9yIGZ1cnRoZXIgaW5mb3JtYXRpb248L2RhdGFj cmVkPg0KICAgIDxuYXRpdmU+RW52aXJvbm1lbnQgYXMgb2YgTWV0YWRhdGEgQ3JlYXRpb246IE1p Y3Jvc29mdCBXaW5kb3dzIDcgVmVyc2lvbiA2LjEgKEJ1aWxkIDc2MDEpIFNlcnZpY2UgUGFjayAx OyBFc3JpIEFyY0dJUyAxMC4yLjIgKEJ1aWxkIDM1NTIpIFNlcnZpY2UgUGFjayBOL0EgKEJ1aWxk IE4vQSk8L25hdGl2ZT4NCiAgPC9pZGluZm8+DQogIDxkYXRhcXVhbD4NCiAgICA8YXR0cmFjYz4N CiAgICAgIDxhdHRyYWNjcj5BbGwgYXR0ZW1wdHMgd2VyZSBtYWRlIHRvIHZlcmlmeSAxMDAlIG9m IHRoZSBpbml0aWFsbHkgcmVxdWlyZWQgYXR0cmlidXRlcyB1c2luZyAyNEsgZGlnaXRhbCByYXN0 ZXIgZ3JhcGhpY3MgKERSR3MpIGFzIHRoZSBiYXNlLiBBZGRpdGlvbmFsIGRhdGFzZXRzLCBsaWtl IHRoZSBHZW9ncmFwaGljIE5hbWVzIEluZm9ybWF0aW9uIFN5c3RlbSAoR05JUykgYW5kIE5IRCwg bWF5IGFsc28gaGF2ZSBiZWVuIHVzZWQgdG8gdmVyaWZ5IGF0dHJpYnV0aW9uLiBUaGUgYWNjdXJh Y3kgb2YgdGhpcyBkYXRhIGlzIGRlcGVuZGVudCBvbiB0aGUgbGV2ZWwgb2YgZGV0YWlsIG9mIHRo ZSBzb3VyY2UgbWF0ZXJpYWwgYW5kIHRoZSBpbnRlcnByZXRhdGlvbiBwcm9jZWR1cmVzIGZvciBj YXB0dXJpbmcgdGhhdCBzb3VyY2UuIE90aGVyIHNvdXJjZXMgYW5kIG1ldGhvZHMgbWF5IGhhdmUg YmVlbiB1c2VkIHRvIGNyZWF0ZSBvciB1cGRhdGUgV0JEIGRhdGEuICBJbiBzb21lIGNhc2VzLCBh ZGRpdGlvbmFsIGluZm9ybWF0aW9uIG1heSBiZSBmb3VuZCBpbiB0aGUgV0JEIE1ldGFkYXRhIHRh YmxlLjwvYXR0cmFjY3I+DQogICAgPC9hdHRyYWNjPg0KICAgIDxsb2dpYz5MaW5lcywgcG9seWdv bnMgYW5kIG5vZGVzIGNvbmZvcm0gdG8gdG9wb2xvZ2ljYWwgcnVsZXMuICBMaW5lcyBpbnRlcnNl Y3Qgb25seSBhdCBub2RlcywgYW5kIGFsbCBub2RlcyBhbmNob3IgdGhlIGVuZHMgb2YgbGluZXMu ICBMaW5lcyBkbyBub3Qgb3ZlcnNob290IG9yIHVuZGVyc2hvb3Qgb3RoZXIgbGluZXMgd2hlcmUg dGhleSBhcmUgc3VwcG9zZWQgdG8gbWVldC4gIFRoZXJlIGFyZSBubyBkdXBsaWNhdGUgbGluZXMu ICBMaW5lcyBib3VuZCBwb2x5Z29ucy4gIEdhcHMgYW5kIG92ZXJsYXBzIGFtb25nIHBvbHlnb25z IGRvIG5vdCBleGlzdC4gIEFsbCBwb2x5Z29ucyBjbG9zZS48L2xvZ2ljPg0KICAgIDxjb21wbGV0 ZT5UaGUgV0JEIGNvbnRhaW5zIGNvbXBsZXRlZCBwb2x5Z29ucyBhdCBldmVyeSBsZXZlbCBmb3Ig dGhlIFVuaXRlZCBTdGF0ZXMuIEFsbCByZXF1aXJlZCBmaWVsZHMgd2l0aGluIHRoZSBwb2x5Z29u IGFuZCBsaW5lIGRhdGFzZXRzIGFyZSBwb3B1bGF0ZWQuIFNvbWUgb2YgdGhlc2UgZmllbGRzIG1h eSBiZSBwb3B1bGF0ZWQgd2l0aCBhIHplb3IgIjAiLiBUaGUgbGluZXMgY29pbmNpZGVudCB3aXRo IHRoZSBpbnRlcm5hdGlvbmFsIGJvdW5kYXJ5IGFyZSBhc3NpZ25lZCBhIEhVTGV2ZWwgdmFsdWUg b2YgMC4gVGhlc2UgY2Fubm90IGJlIGF0dHJpYnV0ZWQgdW50aWwgdGhlIGFkamFjZW50IGludGVy bmF0aW9uYWwgdW5pdHMgYXJlIGFkZGVkIGF0IHdoaWNoIHBvaW50IHRoZSBoaWdoZXN0IGxldmVs IG9mIGh5ZHJvbG9naWMgdW5pdCBjYW4gYmUgZGV0ZXJtaW5lZC4gQSBkZXRhaWxlZCBkZXNjcmlw dGlvbiBvZiBkZWxpbmVhdGlvbiBtZXRob2RzIGFuZCBmdWxsIGF0dHJpYnV0ZSBkZWZpbml0aW9u cyBjYW4gYmUgZm91bmQgaW4gdGhlIFdCRCBTdGFuZGFyZHMuIFVzZXJzIGFyZSBhZHZpc2VkIHRv IGNhcmVmdWxseSByZWFkIHRoZSBtZXRhZGF0YSByZWNvcmQgZm9yIGFkZGl0aW9uYWwgZGV0YWls cy48L2NvbXBsZXRlPg0KICAgIDxwb3NhY2M+DQogICAgICA8aG9yaXpwYT4NCiAgICAgICAgPGhv cml6cGFyPlRoZSBXQkQgd2FzIHByb2R1Y2VkIHVzaW5nIGEgdmFyaWV0eSBvZiBkaWdpdGFsIHNw YXRpYWwgZGF0YSBpbmNsdWRpbmcgYnV0IG5vdCBsaW1pdGVkIHRvIERpZ2l0YWwgUmFzdGVyIEdy YXBoaWNzIChEUkdzKSwgYWVyaWFsIGltYWdlcnkgYW5kIGRpZ2l0YWwgZWxldmF0aW9uIG1vZGVs cyAoREVNKS4gSXQgaXMgYXNzdW1lZCB0aGVzZSBkYXRhIGFyZSBtYXBwZWQgYXQgYXBwcm94aW1h dGVseSAxOjI0LDAwMC1zY2FsZSBhbmQgY29udGFpbiBhIG1pbmltdW0gaW5oZXJlbnQgZXJyb3Ig b2YgKy8tIDQwIGZlZXQuIEl0IHNob3VsZCBiZSBub3RlZCB0aGF0IHRoZSBXQkQgaXMgdW5kZXJn b2luZyBjb250aW51b3VzIHVwZGF0ZSBhcyBzb3VyY2UgZGF0YSBpbXByb3ZlcyBhbmQgYXMgaHlk cm9sb2dpYyBpbnRlcnByZXRhdGlvbnMgYXJlIHJlZmluZWQuIFdoaWxlIGdlbmVyYWwgcnVsZXMg b2YgaHlkcm9sb2d5IHdlcmUgdXNlZCBpbiBkZWxpbmVhdGlvbiwgbG9jYXRpb25zIG9mIGJvdW5k YXJpZXMgbWF5IGJlIHN1YmplY3RpdmUgaW4gc29tZSBjYXNlcy4gQWRkaXRpb25hbCBpbmZvcm1h dGlvbiBtYXkgYmUgZm91bmQgaW4gdGhlIFdCRCBNZXRhZGF0YSB0YWJsZS48L2hvcml6cGFyPg0K ICAgICAgPC9ob3JpenBhPg0KICAgICAgPHZlcnRhY2M+DQogICAgICAgIDx2ZXJ0YWNjcj5BIGZv cm1hbCBhY2N1cmFjeSBhc3Nlc3NtZW50IG9mIHRoZSB2ZXJ0aWNhbCBwb3NpdGlvbmFsIGluZm9y bWF0aW9uIGluIHRoZSBkYXRhIHNldCBoYXMgZWl0aGVyIG5vdCBiZWVuIGNvbmR1Y3RlZCwgb3Ig aXMgbm90IGFwcGxpY2FibGUuPC92ZXJ0YWNjcj4NCiAgICAgIDwvdmVydGFjYz4NCiAgICA8L3Bv c2FjYz4NCiAgICA8bGluZWFnZT4NCiAgICAgIDxzcmNpbmZvPg0KICAgICAgICA8c3JjY2l0ZT4N CiAgICAgICAgICA8Y2l0ZWluZm8+DQogICAgICAgICAgICA8b3JpZ2luPlUuUy4gR2VvbG9naWNh bCBTdXJ2ZXk8L29yaWdpbj4NCiAgICAgICAgICAgIDxwdWJkYXRlPlVua25vd248L3B1YmRhdGU+ DQogICAgICAgICAgICA8dGl0bGU+Ny41IE1pbnV0ZSBUb3BvZ3JhcGhpYyBRdWFkcmFuZ2xlIFNo ZWV0czwvdGl0bGU+DQogICAgICAgICAgICA8Z2VvZm9ybT5QYXBlciBNYXA8L2dlb2Zvcm0+DQog ICAgICAgICAgICA8cHViaW5mbz4NCiAgICAgICAgICAgICAgPHB1YnBsYWNlPlJlc3RvbiwgVmly Z2luaWE8L3B1YnBsYWNlPg0KICAgICAgICAgICAgICA8cHVibGlzaD5VLlMuIEdlb2xvZ2ljYWwg U3VydmV5PC9wdWJsaXNoPg0KICAgICAgICAgICAgPC9wdWJpbmZvPg0KICAgICAgICAgIDwvY2l0 ZWluZm8+DQogICAgICAgIDwvc3JjY2l0ZT4NCiAgICAgICAgPHNyY3NjYWxlPjI0MDAwPC9zcmNz Y2FsZT4NCiAgICAgICAgPHR5cGVzcmM+RGlnaXRhbCBhbmQvb3IgSGFyZGNvcHkgUmVzb3VyY2Vz PC90eXBlc3JjPg0KICAgICAgICA8c3JjdGltZT4NCiAgICAgICAgICA8dGltZWluZm8+DQogICAg ICAgICAgICA8cm5nZGF0ZXM+DQogICAgICAgICAgICAgIDxiZWdkYXRlPjE4ODQ8L2JlZ2RhdGU+ DQogICAgICAgICAgICAgIDxlbmRkYXRlPjIwMDY8L2VuZGRhdGU+DQogICAgICAgICAgICA8L3Ju Z2RhdGVzPg0KICAgICAgICAgIDwvdGltZWluZm8+DQogICAgICAgICAgPHNyY2N1cnI+UHVibGlj YXRpb24gZGF0ZTwvc3JjY3Vycj4NCiAgICAgICAgPC9zcmN0aW1lPg0KICAgICAgICA8c3JjY2l0 ZWE+VVNHU1RvcG88L3NyY2NpdGVhPg0KICAgICAgICA8c3JjY29udHI+QmFzZSBpbmZvcm1hdGlv biBmb3IgaHlkcm9sb2dpYyB1bml0IGRlbGluZWF0aW9uLjwvc3JjY29udHI+DQogICAgICA8L3Ny Y2luZm8+DQogICAgICA8c3JjaW5mbz4NCiAgICAgICAgPHNyY2NpdGU+DQogICAgICAgICAgPGNp dGVpbmZvPg0KICAgICAgICAgICAgPG9yaWdpbj5VLlMuIEdlb2xvZ2ljYWwgU3VydmV5PC9vcmln aW4+DQogICAgICAgICAgICA8cHViZGF0ZT4xOTk5PC9wdWJkYXRlPg0KICAgICAgICAgICAgPHRp dGxlPlUuUy4gR2VvbG9naWNhbCBTdXJ2ZXkgRGlnaXRhbCBSYXN0ZXIgR3JhcGhpYyAoRFJHKTwv dGl0bGU+DQogICAgICAgICAgICA8Z2VvZm9ybT5SYXN0ZXIgRGlnaXRhbCBEYXRhPC9nZW9mb3Jt Pg0KICAgICAgICAgICAgPHB1YmluZm8+DQogICAgICAgICAgICAgIDxwdWJwbGFjZT5Vbmtub3du PC9wdWJwbGFjZT4NCiAgICAgICAgICAgICAgPHB1Ymxpc2g+VS5TLiBHZW9sb2dpY2FsIFN1cnZl eTwvcHVibGlzaD4NCiAgICAgICAgICAgIDwvcHViaW5mbz4NCiAgICAgICAgICAgIDxvbmxpbms+ aHR0cDovL2RhdGFnYXRld2F5Lm5yY3MudXNkYS5nb3Y8L29ubGluaz4NCiAgICAgICAgICA8L2Np dGVpbmZvPg0KICAgICAgICA8L3NyY2NpdGU+DQogICAgICAgIDxzcmNzY2FsZT4yNDAwMDwvc3Jj c2NhbGU+DQogICAgICAgIDx0eXBlc3JjPkRpZ2l0YWwgYW5kL29yIEhhcmRjb3B5IFJlc291cmNl czwvdHlwZXNyYz4NCiAgICAgICAgPHNyY3RpbWU+DQogICAgICAgICAgPHRpbWVpbmZvPg0KICAg ICAgICAgICAgPHJuZ2RhdGVzPg0KICAgICAgICAgICAgICA8YmVnZGF0ZT5Vbmtub3duPC9iZWdk YXRlPg0KICAgICAgICAgICAgICA8ZW5kZGF0ZT4xOTk5PC9lbmRkYXRlPg0KICAgICAgICAgICAg PC9ybmdkYXRlcz4NCiAgICAgICAgICA8L3RpbWVpbmZvPg0KICAgICAgICAgIDxzcmNjdXJyPlB1 YmxpY2F0aW9uIGRhdGU8L3NyY2N1cnI+DQogICAgICAgIDwvc3JjdGltZT4NCiAgICAgICAgPHNy Y2NpdGVhPlVTR1NEUkc8L3NyY2NpdGVhPg0KICAgICAgICA8c3JjY29udHI+QmFzZSBpbmZvcm1h dGlvbiBmb3IgaHlkcm9sb2dpYyB1bml0IGRlbGluZWF0aW9uLjwvc3JjY29udHI+DQogICAgICA8 L3NyY2luZm8+DQogICAgICA8c3JjaW5mbz4NCiAgICAgICAgPHNyY2NpdGU+DQogICAgICAgICAg PGNpdGVpbmZvPg0KICAgICAgICAgICAgPG9yaWdpbj5VLlMuIEdlb2xvZ2ljYWwgU3VydmV5PC9v cmlnaW4+DQogICAgICAgICAgICA8cHViZGF0ZT5Vbmtub3duPC9wdWJkYXRlPg0KICAgICAgICAg ICAgPHRpdGxlPkRpZ2l0YWwgT3J0aG9waG90byBRdWFkczwvdGl0bGU+DQogICAgICAgICAgICA8 Z2VvZm9ybT5SYXN0ZXIgRGlnaXRhbCBEYXRhPC9nZW9mb3JtPg0KICAgICAgICAgICAgPHB1Ymlu Zm8+DQogICAgICAgICAgICAgIDxwdWJwbGFjZT5Vbmtub3duPC9wdWJwbGFjZT4NCiAgICAgICAg ICAgICAgPHB1Ymxpc2g+VS5TLiBHZW9sb2dpY2FsIFN1cnZleTwvcHVibGlzaD4NCiAgICAgICAg ICAgIDwvcHViaW5mbz4NCiAgICAgICAgICAgIDxvbmxpbms+aHR0cDovL2RhdGFnYXRld2F5Lm5y Y3MudXNkYS5nb3Y8L29ubGluaz4NCiAgICAgICAgICA8L2NpdGVpbmZvPg0KICAgICAgICA8L3Ny Y2NpdGU+DQogICAgICAgIDxzcmNzY2FsZT4yNDAwMDwvc3Jjc2NhbGU+DQogICAgICAgIDx0eXBl c3JjPkRpZ2l0YWwgYW5kL29yIEhhcmRjb3B5IFJlc291cmNlczwvdHlwZXNyYz4NCiAgICAgICAg PHNyY3RpbWU+DQogICAgICAgICAgPHRpbWVpbmZvPg0KICAgICAgICAgICAgPHNuZ2RhdGU+DQog ICAgICAgICAgICAgIDxjYWxkYXRlPlVua25vd248L2NhbGRhdGU+DQogICAgICAgICAgICA8L3Nu Z2RhdGU+DQogICAgICAgICAgPC90aW1laW5mbz4NCiAgICAgICAgICA8c3JjY3Vycj4yMDEwMDMy NTwvc3JjY3Vycj4NCiAgICAgICAgPC9zcmN0aW1lPg0KICAgICAgICA8c3JjY2l0ZWE+VVNHU0RP UTwvc3JjY2l0ZWE+DQogICAgICAgIDxzcmNjb250cj5BZXJpYWwgaW1hZ2VyeSB1c2VkIGZvciBy ZWZlcmVuY2UgaW4gd2F0ZXJzaGVkIGJvdW5kYXJ5IGRlbGluZWF0aW9uPC9zcmNjb250cj4NCiAg ICAgIDwvc3JjaW5mbz4NCiAgICAgIDxzcmNpbmZvPg0KICAgICAgICA8c3JjY2l0ZT4NCiAgICAg ICAgICA8Y2l0ZWluZm8+DQogICAgICAgICAgICA8b3JpZ2luPlUuUy4gR2VvbG9naWNhbCBTdXJ2 ZXk8L29yaWdpbj4NCiAgICAgICAgICAgIDxwdWJkYXRlPjE5OTQ8L3B1YmRhdGU+DQogICAgICAg ICAgICA8dGl0bGU+MjUwSyBIeWRyb2xvZ2ljIFVuaXQgQm91bmRhcmllczwvdGl0bGU+DQogICAg ICAgICAgICA8Z2VvZm9ybT5WZWN0b3IgRGlnaXRhbCBEYXRhPC9nZW9mb3JtPg0KICAgICAgICAg ICAgPHB1YmluZm8+DQogICAgICAgICAgICAgIDxwdWJwbGFjZT5SZXN0b24sIFZpcmdpbmlhPC9w dWJwbGFjZT4NCiAgICAgICAgICAgICAgPHB1Ymxpc2g+VS5TLiBHZW9sb2dpY2FsIFN1cnZleTwv cHVibGlzaD4NCiAgICAgICAgICAgIDwvcHViaW5mbz4NCiAgICAgICAgICAgIDxvbmxpbms+aHR0 cDovL3dhdGVyLnVzZ3MuZ292L2xvb2t1cC9nZXRzcGF0aWFsP2h1YzI1MGs8L29ubGluaz4NCiAg ICAgICAgICA8L2NpdGVpbmZvPg0KICAgICAgICA8L3NyY2NpdGU+DQogICAgICAgIDxzcmNzY2Fs ZT4yNTAwMDA8L3NyY3NjYWxlPg0KICAgICAgICA8dHlwZXNyYz5EaWdpdGFsIGFuZC9vciBIYXJk Y29weSBSZXNvdXJjZXM8L3R5cGVzcmM+DQogICAgICAgIDxzcmN0aW1lPg0KICAgICAgICAgIDx0 aW1laW5mbz4NCiAgICAgICAgICAgIDxybmdkYXRlcz4NCiAgICAgICAgICAgICAgPGJlZ2RhdGU+ VW5rbm93bjwvYmVnZGF0ZT4NCiAgICAgICAgICAgICAgPGVuZGRhdGU+MTk5NDwvZW5kZGF0ZT4N CiAgICAgICAgICAgIDwvcm5nZGF0ZXM+DQogICAgICAgICAgPC90aW1laW5mbz4NCiAgICAgICAg ICA8c3JjY3Vycj5QdWJsaWNhdGlvbiBkYXRlPC9zcmNjdXJyPg0KICAgICAgICA8L3NyY3RpbWU+ DQogICAgICAgIDxzcmNjaXRlYT5IVUMyNTBLPC9zcmNjaXRlYT4NCiAgICAgICAgPHNyY2NvbnRy PlJlZmVyZW5jZSBkYXRhc2V0IGZvciB0aGUgMi0sIDQtLCA2LSBhbmQgOC1kaWdpdCBoeWRyb2xv Z2ljIHVuaXRzPC9zcmNjb250cj4NCiAgICAgIDwvc3JjaW5mbz4NCiAgICAgIDxzcmNpbmZvPg0K ICAgICAgICA8c3JjY2l0ZT4NCiAgICAgICAgICA8Y2l0ZWluZm8+DQogICAgICAgICAgICA8b3Jp Z2luPlUuUy4gR2VvbG9naWNhbCBTdXJ2ZXk8L29yaWdpbj4NCiAgICAgICAgICAgIDxwdWJkYXRl PjIwMTY8L3B1YmRhdGU+DQogICAgICAgICAgICA8dGl0bGU+TmF0aW9uYWwgSHlkcm9ncmFwaHkg RGF0YXNldDwvdGl0bGU+DQogICAgICAgICAgICA8Z2VvZm9ybT5WZWN0b3IgRGlnaXRhbCBEYXRh PC9nZW9mb3JtPg0KICAgICAgICAgICAgPHB1YmluZm8+DQogICAgICAgICAgICAgIDxwdWJwbGFj ZT5EZW52ZXIsIENPPC9wdWJwbGFjZT4NCiAgICAgICAgICAgICAgPHB1Ymxpc2g+VS5TLiBHZW9s b2dpY2FsIFN1cnZleTwvcHVibGlzaD4NCiAgICAgICAgICAgIDwvcHViaW5mbz4NCiAgICAgICAg ICAgIDxvbmxpbms+aHR0cDovL25oZC51c2dzLmdvdi9kYXRhLmh0bWw8L29ubGluaz4NCiAgICAg ICAgICA8L2NpdGVpbmZvPg0KICAgICAgICA8L3NyY2NpdGU+DQogICAgICAgIDxzcmNzY2FsZT4y NDAwMDwvc3Jjc2NhbGU+DQogICAgICAgIDx0eXBlc3JjPkRpZ2l0YWwgYW5kL29yIEhhcmRjb3B5 IFJlc291cmNlczwvdHlwZXNyYz4NCiAgICAgICAgPHNyY3RpbWU+DQogICAgICAgICAgPHRpbWVp bmZvPg0KICAgICAgICAgICAgPHNuZ2RhdGU+DQogICAgICAgICAgICAgIDxjYWxkYXRlPnVua25v d248L2NhbGRhdGU+DQogICAgICAgICAgICA8L3NuZ2RhdGU+DQogICAgICAgICAgPC90aW1laW5m bz4NCiAgICAgICAgICA8c3JjY3Vycj5QdWJsaWNhdGlvbiBkYXRlPC9zcmNjdXJyPg0KICAgICAg ICA8L3NyY3RpbWU+DQogICAgICAgIDxzcmNjaXRlYT5OSEQ8L3NyY2NpdGVhPg0KICAgICAgICA8 c3JjY29udHI+SHlkcm9ncmFwaHkgZGF0YSB1c2VkIGZvciByZWZlcmVuY2UgaW4gd2F0ZXJzaGVk IGJvdW5kYXJ5IGRlbGluZWF0aW9uIHByb2Nlc3M8L3NyY2NvbnRyPg0KICAgICAgPC9zcmNpbmZv Pg0KICAgICAgPHByb2NzdGVwPg0KICAgICAgICA8cHJvY2Rlc2M+VGhlIG9yaWdpbmFsIGh5ZHJv bG9naWMgdW5pdCBib3VuZGFyaWVzIHdlcmUgaGFuZC1kaWdpdGl6ZWQgb24gYSBkaWdpdGl6aW5n IHRhYmxlIGZyb20gdGhlIFVTR1MgNy41IG1pbnV0ZSBxdWFkcmFuZ2xlcy4gVGhpcyBwcm9jZXNz IG9jY3VycmVkIG92ZXIgYSBzcGFuIG9mIGFwcHJveGltYXRlbHkgMjAgeWVhcnMgZnJvbSAxOTgw IHRvIDIwMDAuPC9wcm9jZGVzYz4NCiAgICAgICAgPHByb2NkYXRlPjIwMDA8L3Byb2NkYXRlPg0K ICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAgICAgPHByb2NkZXNjPlRo ZSBvcmlnaW5hbCBkYXRhc2V0IHdhcyByZXZpZXdlZCBieSBVU0dTIHBlcnNvbm5lbCB1c2luZyBv bi1zY3JlZW4gdGVjaG5pcXVlcyB3aXRoIERSR3MgYXMgdGhlIGJhc2UgbWFwLiBBbGwgaHlkcm9s b2dpYyB1bml0cyB3aXRoaW4gdGhlIGRhdGFzZXQgdGhhdCB3ZXJlIGxlc3MgdGhhbiAzLDAwMCBh Y3JlcyB3ZXJlIGRpc3NvbHZlZCBvdXQuPC9wcm9jZGVzYz4NCiAgICAgICAgPHByb2NkYXRlPjIw MDM8L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAg ICAgPHByb2NkZXNjPlRoZSBuZXcgV0JEICgyMDA1LTIwMTEpIHdhcyByZXZpZXdlZCBvbi1zY3Jl ZW4gYnkgVVNHUywgRVBBLCBvciBOUkNTIHBlcnNvbm5lbCB1c2luZyBEUkdzIGFuZCBET1FzcyBh cyBiYXNlIG1hcHMuIEh5ZHJvbG9naWMgVW5pdHMgdGhhdCB3ZXJlIGxlc3MgdGhhbiAxMCwwMDAg YWNyZXMgKGZvciB0aGUgMTItZGlnaXQgdW5pdHMpIGFuZCA0MCwwMDAgYWNyZXMgKGZvciB0aGUg MTAtZGlnaXQgdW5pdHMpIHdlcmUgcmV2aWV3ZWQgYW5kIGlmIHBvc3NpYmxlIHdlcmUgZGlzc29s dmVkIG91dC4gQWxvbmcgdGhlIGNvYXN0YWwgYXJlYXMsIHN0YW5kYXJkIHdhdGVyc2hlZHMgdGhh dCBmZWxsIHdpdGhpbiB0aGUgZmVkZXJhbCBndWlkZWxpbmUncyBzaXplIGNyaXRlcmlhICgxMi1k aWdpdDogMTAsMDAwLTQwLDAwMCBhY3JlcywgMTAtZGlnaXQ6IDQwLDAwMC0yNTAsMDAwIGFjcmVz KSB3ZXJlIGRlbGluZWF0ZWQuIElmIHBvc3NpYmxlIHRoZSByZW1haW5pbmcgZnJvbnRhbHMgd2Vy ZSBsZWZ0IGFzIHRoZWlyIG93biB1bml0cy4gRnJvbnRhbHMgdGhhdCBkaWQgbm90IG1lZXQgdGhl IHNpemUgY3JpdGVyaWEgd2VyZSBncm91cGVkIHRvZ2V0aGVyIHdpdGggb3RoZXIgZnJvbnRhbHMg d2l0aGluIHRoZSBvdmVyYWxsIDgtZGlnaXQgb3IgMTAtZGlnaXQgdW5pdC4gSHlkcm9sb2dpYyB1 bml0cyB0aGF0IHdlcmUgZ3JlYXRlciB0aGFuIDQwLDAwMCBhY3JlcyAoMTItZGlnaXQgdW5pdHMp IGFuZCAyNTAsMDAwIGFjcmVzICgxMC1kaWdpdCB1bml0cykgd2VyZSByZXZpZXdlZC4gSWYgcG9z c2libGUgdGhlc2UgdW5pdHMgd2hlcmUgdGhlbiBzdWJkaXZpZGVkIGludG8gc21hbGxlciB1bml0 cyB0aGF0IG1ldCB0aGUgc2l6ZSBjcml0ZXJpYS4gSW4gc29tZSBjYXNlcywgYWRkaXRpb25hbCBi cmVha3Mgd2l0aGluIHRoZSB1bml0IHdvdWxkIG5vdCBoYXZlIG1hZGUgc2Vuc2Ugb3IgaGF2ZSBi ZWVuIHZlcnkgdXNlZnVsLiBGb3IgZXhhbXBsZTogV2hlbiB0aGUgbWFqb3JpdHkgb2YgdGhlIHVu aXQgd2FzIG1hZGUgdXAgYnkgYSBtYWpvciB3YXRlcmJvZHkgZmVhdHVyZSBzdWNoIGFzIGEgbGFr ZSBvciByZXNlcnZvaXIgYW5kIHRoZSBzdXJyb3VuZGluZyB0cmlidXRhcmllcyB3ZXJlIHRvbyBz bWFsbCB0byBkZWxpbmVhdGUgYXMgdGhlaXIgb3duIHVuaXQuIEluIHRoZXNlIGluc3RhbmNlcyB0 aGUgdW5pdCB3YXMgbGVmdCBiaWcuPC9wcm9jZGVzYz4NCiAgICAgICAgPHByb2NkYXRlPjIwMTE8 L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAgICAg PHByb2NkZXNjPkZyb20gMjAwNSB0byAyMDExLCBoeWRyb2xvZ2ljIHVuaXRzIGZyb20gc3Vycm91 bmRpbmcgc3RhdGVzIHdlcmUgdXNlZCB0byBlZGdlbWF0Y2ggd2F0ZXJzaGVkIGJvdW5kYXJpZXMg YXMgdGhleSB3ZXJlIGRldmVsb3BlZC48L3Byb2NkZXNjPg0KICAgICAgICA8cHJvY2RhdGU+MjAx MTwvcHJvY2RhdGU+DQogICAgICA8L3Byb2NzdGVwPg0KICAgICAgPHByb2NzdGVwPg0KICAgICAg ICA8cHJvY2Rlc2M+RnJvbSAyMDA1IHRvIDIwMTEsIG9yaWdpbmFsIGRhdGFzZXQgYXR0cmlidXRp b24gd2FzIHJldmlld2VkIGFuZCByZXZpc2VkIHRvIHJlZmxlY3QgdGhlIHVwZGF0ZXMgYW5kIGNo YW5nZXMgbWFkZSB0byB0aGUgZGF0YXNldC4gVGhlc2UgcmV2aXNpb25zIHRvIHRoZSBhdHRyaWJ1 dGlvbiB3ZXJlIGFsc28gbWFkZSB0byBlbnN1cmUgdGhhdCB0aGUgZGF0YXNldCBtZXQgdGhlIEZl ZGVyYWwgU3RhbmRhcmRzIGZvciBEZWxpbmVhdGlvbiBvZiBIeWRyb2xvZ2ljIFVuaXQgQm91bmRh cmllcy4gVGhlIE5IRCB3YXMgdXNlZCBkdXJpbmcgdGhpcyBwcm9jZXNzIHRvIGhlbHAgd2l0aCB0 aGUgbmFtaW5nIGFuZCBkb3duc3RyZWFtIGNvZGluZyBvZiBlYWNoIHVuaXQuIEluIHNvbWUgaW5z dGFuY2VzIHRoZXJlIHdlcmUgbmFtZSBkaXNjcmVwYW5jaWVzIGJldHdlZW4gdGhlIE5IRCBhbmQg d2hhdCB3YXMgcHJpbnRlZCBvbiB0aGUgRFJHcy4gSW4gdGhlc2UgaW5zdGFuY2VzIHRoZSBEUkdz IHdlcmUgdXNlZCBpbnN0ZWFkIG9mIHRoZSBOSEQuPC9wcm9jZGVzYz4NCiAgICAgICAgPHByb2Nk YXRlPjIwMTE8L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4N CiAgICAgICAgPHByb2NkZXNjPkZpcnN0IGRyYWZ0IG9mIG1ldGFkYXRhIGNyZWF0ZWQgYnkgTlJD UyB1c2luZyBNRVRBREFUQSBFZGl0b3IgaW4gQXJjQ2F0YWxvZyB2ZXIuIDkuMSBzcC4xIGh1MTJf Z2VvODM8L3Byb2NkZXNjPg0KICAgICAgICA8cHJvY2RhdGU+MjAwNzAxMjQ8L3Byb2NkYXRlPg0K ICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAgICAgPHByb2NkZXNjPlRo ZSBmb2xsb3dpbmcgZWRpdHMgKDIwMTIgLSBwcmVzZW50KSB3ZXJlIGNvbXBsZXRlZCBkdXJpbmcg bmF0aW9uYWwgcXVhbGl0eSBjb250cm9sIHJldmlldyBwZXJmb3JtZWQgYnkgdGhlIFdCRCBuYXRp b25hbCB0ZWNobmljYWwgZWRpdCB0ZWFtIGluIHRoZSBVU0dTIFV0YWggV2F0ZXIgU2NpZW5jZSBD ZW50ZXIuIFVwZGF0ZXMgbWF5IG5vdCBhZmZlY3QgYWxsIGh5ZHJvbG9naWMgdW5pdHMuDQoJCUVk aXRzIGJ5IFVTR1MgV2F0ZXIgU2NpZW5jZSBDZW50ZXIgaW4gU2FsdCBMYWtlIENpdHksIFV0YWgu IA0KCQkxLiBSZXZpZXdlZCBhbGwgdGhlIFRvSFVDIGNvZGVzIHdpdGhpbiB0aGUgMTItZGlnaXQg cG9seWdvbnMgYW5kIG1hZGUgdXBkYXRlcyBhcyBuZWNlc3NhcnkuIEFsbCB1cGRhdGVzIHdlcmUg Y29vcmRpbmF0ZWQgYW5kIGFwcHJvdmVkIGJ5IFdCRCBzdGF0ZSBzdGV3YXJkcy4NCgkJMi4gVXBk YXRlZCBMaW5lc291cmNlIGNvZGUgKG1pc3NwZWxsaW5ncywgcmVtb3ZlZCBleHRyYSBzcGFjZXMg ZXRjLikgd2hlcmUgbmVlZGVkIHRvIG1hdGNoIEZlZGVyYWwgU3RhbmRhcmRzIA0KCQkzLiBVcGRh dGVkIGFuZCBjb3JyZWN0ZWQgZXJyb3JzIGluIHRoZSBIVV9Nb2QgZmllbGRzIHdoZXJlIG5lZWRl ZCB0byBtYXRjaCBGZWRlcmFsIFN0YW5kYXJkcy4gDQoJCTQuIFVwZGF0ZWQgU3RhdGUgZmllbGQg Zm9yIENhbmFkYSAoQ04pIGFuZCBNZXhpY28gKE1YKSBiYXNlZCBvbiB0aGUgbmV3IHZlcnNpb24g b2YgdGhlIFN0YW5kYXJkcyANCgkJNS4gUmV2aWV3ZWQgYWxsIHRoZSBOYW1lcyByZWxhdGVkIHRv IGVhY2ggMTAtZGlnaXQgYW5kIDEyLWRpZ2l0IHBvbHlnb24gYW5kIG1hZGUgdXBkYXRlcyBhcyBu ZWNlc3NhcnkuIEFsbCB1cGRhdGVzIHdlcmUgY29vcmRpbmF0ZWQgYW5kIGFwcHJvdmVkIGJ5IHRo ZSBXQkQgU3RhdGUgc3Rld2FyZHMNCgkJNi4gQ2hlY2tlZCBhbmQgdXBkYXRlZCBIVV9MZXZlbCBm aWVsZCB3aGVyZSBIVV9MZXZlbCA9IDk5IG9yID0gbnVsbCANCgkJNy4gVXBkYXRlZCB0aGUgOC1k aWdpdCBvdXRlciBib3VuZGFyeSBmb3IgdW5pdHMgZmxvd2luZyBpbnRvIG9jZWFuIHVuaXRzIGJ5 IGV4dGVuZGluZyB0aGUgYm91bmRhcnkgb2Zmc2hvcmUgdG8gdGhlIDMgbmF1dGljYWwgbWlsZSBs aW1pdCBwcm92aWRlZCBieSBOT0FBLiBBbGwgdXBkYXRlcyB3ZXJlIGNvb3JkaW5hdGVkIGFuZCBh cHByb3ZlZCBieSB0aGUgV0JEIHN0YXRlIHN0ZXdhcmRzPC9wcm9jZGVzYz4NCiAgICAgICAgPHBy b2NkYXRlPjIwMTY8L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3Rl cD4NCiAgICAgICAgPHByb2NkZXNjPlRoZSBmb2xsb3dpbmcgYXJlIDgtZGlnaXQgdXBkYXRlcyAo ZnJvbSAyMDA5LTIwMTYpIHRoYXQgd2VyZSBhcHByb3ZlZCBieSB0aGUgV0JEIE5hdGlvbmFsIFRl Y2huaWNhbCBDb29yZGluYXRvcnMgYXMgcmVxdWlyZWQgYnkgdGhlIFdCRCBTdGFuZGFyZHMuIFRo ZXNlIG1heSBpbmNsdWRlIG5hbWUvY29kZSB1cGRhdGVzIG9yIGJvdW5kYXJ5IHVwZGF0ZXMgdGhh dCB3ZXJlIGltcGxlbWVudGVkIGluIHRoZSBXQkQgYXQgc29tZSBwb2ludCBkdXJpbmcgdGhlIGNy ZWF0aW9uIG9yIG1haW50ZW5hbmNlIG9mIHRoZSBkYXRhLiANCglBbGFza2E6DQoJCUxlZ2FjeSAx OTAyMDQwMSBBbmNob3JhZ2UgYm91bmRhcnkgaGFzIGNoYW5nZWQgYnkgYWJvdXQgMjAlIG9mIGl0 cyBhcmVhLg0KCQkxOTAyMDIwMyAoUHJpbmNlIFdpbGxpYW0gU291bmQpDQoJCUFkZGVkIGEgbmV3 IHN1YmJhc2luIHVuaXQgZm9yIFByaW5jZSBXaWxsaWFtIFNvdW5kLg0KCQlBZGp1c3RlZCBodWM4 IGJvdW5kYXJpZXMgYmV0d2VlbiAxOTAyMDEwNCwgMTkwMjAyMDEgYW5kIDE5MDIwMjAyIHRvIGJl dHRlciByZWZsZWN0IHN1cmZhY2Ugd2F0ZXIgZmxvdyBhbmQgdG8gYXNzaXN0IHdpdGggZGVsaW5l YXRpbmcgdGhlIFByaW5jZSBXaWxsaWFtIFNvdW5kIGFzIGEgbmV3IHVuaXQuDQoJCUxlZ2FjeSAx OTAyMDMwMiBVcHBlciBLZW5haSBQZW5pbnN1bGEgaGFzIGNoYW5nZWQgYnkgYWJvdXQgMjAlIG9m IGl0cyBhcmVhLg0KCQlMZWdhY3kgMTkwMzAzMDQgV29vZCBSaXZlciB3YXMgc3ViZGl2aWRlZCB3 aGljaCBoYXMgY3JlYXRlZCBhIHJlZHVjZWQgYXJlYSBmb3IgdGhlIDE5MDMwMzA0IFdvb2QgUml2 ZXIgYW5kIHB1dCBJZ3VzaGlrIFJpdmVyIGludG8gaXRzIG93biBoeWRyb2xvZ2ljIHVuaXQgd2l0 aCBhIG5ldyBjb2RlIG9mIDE5MDMwMzA2LiANCgkJTGVnYWN5IDE5MDMwNDAyIEZhcmV3ZWxsIExh a2Ugd2FzIGRpdmlkZWQgaW50byAxOTAzMDQwNiBNaWRkbGUgRmxvcmsgS3Vza29rd2ltIFJpdmVy IGFuZCAxOTAzMDQwNyBTb3V0aCBGb3JrIEt1c2tva3dpbSBSaXZlci4gDQoJCUxlZ2FjeSAxOTA0 MDIwNCBCbGFjayBSaXZlciB3YXMgc3ViZGl2aWRlZC4gMTkwNDAyMDQgd2lsbCByZW1haW4gdGhl IEJsYWNrIFJpdmVyLCBhbmQgYSBuZXcgdW5pdCAxOTA0MDIwNiBHcmFzcyBSaXZlciBpcyBicm9r ZW4gb3V0LiANCgkJMTkwNDA1MDI6DQoJCVRoZSBvdXRsZXQgZm9yIHN1YmJhc2luIDE5MDQwNTAy IHdhcyBtb3ZlZCBkb3duc3RyZWFtIGZyb20gdGhlIGN1cnJlbnQgYnJlYWsgYWNyb3NzIFRhbmFu YSBSaXZlciBhdCBhIGNvbmZsdWVuY2Ugd2l0aCBhIG1pbm9yIHRyaWJ1dGFyeSB0byB0aGUgbW9y ZSBwcm9taW5lbnQgY29uZmx1ZW5jZSB3aXRoIFJvYmVydHNvbiBSaXZlci4gVGhpcyBlZGl0IHJl c3VsdGVkIGluIHRoZSBhZGRpdGlvbiBvZiAyIHN1YndhdGVyc2hlZHMgdG8gMTkwNDA1MDIgYW5k IHRoZSByZW1vdmFsIG9mIDIgd2F0ZXJzaGVkcyBmcm9tIDE5MDQwNTAzLg0KCQlMZWdhY3kgMTkw NDA1MDQgRGVsdGEgUml2ZXIgbGluZXdvcmsgY2hhbmdlZCBzaWduaWZpY2FudGx5Lg0KCQlUaGUg bGVnYWN5IDE5MDQwNTA0IGhhZCAzIHNlcGFyYXRlIG91dGxldHM7IERlbHRhIFJpdmVyLCBEZWx0 YSBDcmVlayBhbmQgTGl0dGxlIERlbHRhIFJpdmVyLg0KCQlUaGUgYm91bmRhcnkgd2FzIGFkanVz dGVkIHNvIHRoYXQgMTkwNDA1MDQgY29udGFpbmVkIGp1c3QgdGhlIERlbHRhIFJpdmVyIGFzIGEg c3RhbmRhcmQgdW5pdC4NCgkJVGhlIERlbHRhIENyZWVrIGFuZCBMaXR0bGUgRGVsdGEgUml2ZXIg d2hlcmUgbW92ZWQgaW50byAxOTA0MDUwNy4NCgkJTGVnYWN5IDE5MDQwNTA3IFRhbmFuYSBGbGF0 cyBMaW5ld29yayBjaGFuZ2VkIHNpZ25pZmljYW50bHkuDQoJCTE5MDQwNjA2IC0gTGVnYWN5IGJv dW5kYXJ5IGZvciAxOTA0MDYwNiBoYWQgdGhlIG91dGxldCBhdCBhIGxvY2F0aW9uIGFjcm9zcyB0 aGUgSHVzbGlhIFJpdmVyIGRvd25zdHJlYW0gZnJvbSB0aGUgb3V0bGV0IG9mIHRoZSBTb3V0aCBG b3JrIEh1c2xpYSBSaXZlci4gVGhlIGJvdW5kYXJ5IHdhcyBhZGp1c3RlZCBkb3duc3RyZWFtIHRv IHRoZSBtYWpvciBjb25mbHVlbmNlIHdoZXJlIHRoZSBIdXNsaWEgUml2ZXIgZHJhaW5zIGludG8g dGhlIEtveXVrdWsgUml2ZXIsIHRodXMgY3JlYXRpbmcgYSBzdGFuZGFyZCBIVUM4IGZvciB0aGUg SHVzbGlhIFJpdmVyLg0KCQkxOTA1Og0KCQkxOTA1MDIwMiwgMTkwNTAyMDMsIDE5MDUwMzAxLCAx OTA1MDMwNCwgMTkwNTA0MDMNCgkJMTkwNTAyMDLigJlzIGJvdW5kYXJ5IHdhcyBhZGp1c3RlZCBz byB0aGF0IHRoaXMgdW5pdCBjb250YWluZWQgYWxsIGZyb250YWwgZHJhaW5hZ2UgYXJlYXMgZmxv d2luZyBpbnRvIHRoZSBzb3V0aGVybiBwb3J0aW9uIG9mIEtvdHplYnVlIFNvdW5kLg0KCQkxOTA1 MDIwM+KAmXMgYm91bmRhcnkgd2FzIGFkanVzdGVkIHRvIHRoYXQgdGhlIHVuaXQgaW5jbHVkZWQg RXNjaHNjaG9sdHogQmF5IGFuZCBhbGwgb2YgdGhlIGRyYWluYWdlIGFyZWFzIGZsb3dpbmcgaW50 byBpdC4NCgkJMTkwNTAzMDHigJlzIGJvdW5kYXJ5IHdhcyBhZGp1c3RlZCBzbyB0aGF0IHRoaXMg dW5pdCBoYXMgb25lIG91dGxldCBhbmQgaW5jbHVkZXMgU2VsYXdpayBMYWtlLiBUaGUgZnJvbnRh bCBkcmFpbmFnZXMgZmxvd2luZyBpbnRvIEhvdGhhbSBJbmxldCB3ZXJlIG1vdmVkIGludG8gdW5p dCAxOTA1MDMwNC4NCgkJMTkwNTAzMDTigJlzIGJvdW5kYXJ5IHdhcyBhZGp1c3RlZCBzbyB0aGF0 IHRoZSB1bml0IGluY2x1ZGVkIEhvdGhhbSBJbmxldCBhbmQgdGhlIGZyb250YWwgZHJhaW5hZ2Vz IGZsb3dpbmcgaW50byBpdC4NCgkJMTkwNTA0MDPigJlzIGJvdW5kYXJ5IHdhcyBhZGp1c3RlZCB0 byBhIGJ1ZmZlciBkaXN0YW5jZSBvZiAxMDAwIG1ldGVycyBvZmYgc2hvcmUuDQoJCTE5MDUwNTAw IC0gS290emVidWUgU291bmQ6DQoJCUFkZGVkIGEgbmV3IEhVQzggIHVuaXQgdG8gQUsgV0JEIGZv ciBLb3R6ZWJ1ZSBTb3VuZC4gSW5uZXIgY29hc3RhbCB1bml0cyB0aGF0IGVuZGVkIGF0IHRoZSBz aG9yZSBsaW5lIHdlcmUgZXh0ZW5kZWQgb2Zmc2hvcmUgdG8gYSAxMDAwIG1ldGVyIGJ1ZmZlciBk aXN0YW5jZS4NCgkJTGVnYWN5IDE5MDYwMjA0IElrcGlrcHVrIFJpdmVyIGFic29yYmVkIEluYXJ1 IFJpdmVyIGZyb20gTGVnYWN5IDE5MDYwMjAyDQoJCUxlZ2FjeSB1bml0IDE5MDYwMjAyIGNvbnRh aW5lZCAyIGRpZmZlcmVudCBzdHJlYW0gc3lzdGVtcyBmbG93aW5nIGludG8gMiBkaWZmZXJlbnQg Ym9kaWVzIG9mIHdhdGVyLg0KCQlUaGUgSW5hcnUgUml2ZXIgZmxvd3MgaW50byBBZG1pcmFsdHkg QmF5IHdoaWxlIHRoZSBLdWdydWEgUml2ZXIgYW5kIHRoZSBvdGhlciBzbWFsbCBmcm9udGFsIGRy YWluYWdlcyBmbG93cyBpbnRvIHRoZSBDaHVrY2hpIFNlYS4NCgkJVGhlIGJvdW5kYXJ5IHdhcyBh ZGp1c3RlZCBzbyB0aGF0IGZsb3cgaW50byBBZG1pcmFsdHkgQmF5L0RlYXNlIElubGV0IHdhcyBz ZXBhcmF0ZSBmcm9tIGZsb3cgaW50byBDaHVrY2hpIFNlYS4gVGhlIEluYXJ1IFJpdmVyLCBBZG1p cmFsdHkgQmF5L0RlYXNlIElubGV0IGFuZCBhbGwgYXNzb2NpYXRlZCBmcm9udGFsIGRyYWluYWdl cyB3ZXJlIGFkZGVkIHRvIHN1YmJhc2luIDE5MDYwMjA0Lg0KCQlOZXcgU3ViYmFzaW4gMTkwNjAy MDYgaXMgYmVpbmcgbmFtZWQgQWRtaXJhbHR5IEJheS1EZWFzZSBJbmxldC4gVGhpcyBhcmVhIHVz ZSB0byBiZSBwYXJ0IG9mIFN1YmJhc2luIDE5MDYwMjA0DQoJCTE5MDIwODAwIENvb2sgSW5sZXQg aXMgYSBuZXcgaHlkcm9sb2dpYyB1bml0IGFzIHJlY29tbWVuZGVkIGJ5IHRoZSBBbGFza2EgaW4g c3RhdGUgc3Rha2Vob2xkZXJzLg0KDQogICAgICAgIDIwMTEgLSBUaGVzZSB1cGRhdGVzIHdoZXJl IHByb3Bvc2VkIGJ5IEZvcmVzdCBTZXJ2aWNlIHBhcnRuZXJzIHdpdGhpbiB0aGUgVG9uZ2FzcyBO YXRpb25hbCBGb3Jlc3QuIFdoZW4gbWFqb3IgY2hhbmdlcyBhcmUgbWFkZSB0byB0aGUgSFVDOCBj b250YWluZXIgKGkuZS4gdGhlIGNvbnRhaW5lciBpcyBzdWJkaXZpZGVkIGludG8gbXVsdGlwbGUg dW5pdHMpIHRoZSBuYXRpb25hbCBwcm90b2NvbCBoYXMgYmVlbiB0byByZXRpcmUgdGhlIG9sZCBI VUM4IGNvZGUgYW5kIG5hbWUgYW5kIGFzc2lnbiBuZXcgY29kZXMgYW5kIG5hbWVzIHRvIHRoZSB1 cGRhdGVzIHVuaXRzDQoJCTE5MDEwMjAyIChLdWl1LUt1cHJlYW5vZi1NaXRrb2YtRXRvbGluLVph cmVtYm8tV3JhbmdlbGwpIGlzIGJlaW5nIHJldGlyZWQgYW5kIDIgbmV3IEhVQzggdW5pdHMgd2Vy ZSBmb3JtZWQuDQoJCUt1aXUgSXNsYW5kLCBNaXRrb2YgSXNsYW5kIGFuZCBLdXByZWFub2YgSXNs YW5kIHdlcmUgc3BsaXQgb3V0IGludG8gdGhlaXIgb3duIDgtZGlnaXQgdW5pdA0KCQlIVUM4IC0g MTkwMTAyMTANCgkJSFU4X05hbWUg4oCTIEt1aXUtS3VwcmVhbm9mLU1pdGtvZiBJc2xhbmRzDQoJ CVphcmVtYm8gSXNsYW5kLCBXcmFuZ2VsbCBJc2xhbmQgYW5kIEV0b2xpbiBJc2xhbmQgd2VyZSBz dWJkaXZpZGVkIGludG8gdGhlaXIgb3duIDggZGlnaXQgdW5pdA0KCQlIVUM4IOKAkyAxOTAxMDIw OQ0KCQlIVThfTmFtZSDigJMgRXRvbGluLVphcmVtYm8tV3JhbmdlbGwgSXNsYW5kcw0KDQoJCTE5 MDEwMjAzIChCYXJhbm9mLUNoaWNoYWdvZiBJc2xhbmRzKTE5MDEwMjAzIHdhcyByZXRpcmVkLiAx OTAxMDIwMyB3YXMgc3ViZGl2aWRlZCAzIG5ldyB1bml0czsgMiBpc2xhbmQgdW5pdHMgYW5kIDEg Y2hhbm5lbCB1bml0Lg0KCQlDaGljaGFnb2YgSXNsYW5kIHdhcyBzcGxpdCBvdXQgaW50byBpdHMg b3duIDgtZGlnaXQgdW5pdA0KCQlIVUM4IOKAkyAxOTAxMDIxMQ0KCQlIVThfTmFtZSDigJMgQ2hp Y2hhZ29mIElzbGFuZA0KCQlCYXJhbm9mIGFuZCBLcnV6b2YgSXNsYW5kcyB3ZXJlIHN1YmRpdmlk ZWQgaW50byB0aGVpciBvd24gOC1kaWdpdCB1bml0DQoJCUhVQzgg4oCTIDE5MDEwMjEyDQoJCUhV OF9OYW1lIOKAkyBCYXJhbm9mIElzbGFuZA0KCQlDcmVhdGVkIGEgbmV3IHdhdGVyIGh5ZHJvbG9n aWMgdW5pdCBmb3IgdGhlIGNoYW5uZWwgYmV0d2VlbiBDaGljaGFnb2YgSXNsYW5kIGFuZCBCYXJh bm9mL0tydXpvZiBJc2xhbmRzLiBUaGlzIG5ldyB3YXRlciB1bml0IHdvdWxkIGJlY29tZSBhIEhV QzEwIHVuaXQgd2l0aGluIHRoZSAiV2F0ZXIiIHN1YmJhc2luIDE5MDEwNTAwLg0KCQlIVUMxMCDi gJMgMTkwMTA1MDAxMQ0KCQlIVUMxMF9OYW1lIC0gUGVyaWwgU3RyYWl0DQoJCUJlY2F1c2Ugb2Yg dGhlIHZhcnlpbmcgd2lkdGggb2YgdGhlIGNoYW5uZWwgdGhlIGJvdW5kYXJ5IHdhcyBncmFkdWF0 ZWQgZnJvbSBhIDEsMDAwIG1ldGVyIGJ1ZmZlciB0byAxMDAgbWV0ZXIgYnVmZmVyIGZyb20gdGhl IExvdyBUaWRlIFNob3JlbGluZS4gVGhlIExvdyBUaWRlIFNob3JlbGluZSB3YXMgcHJvdmlkZWQg YnkgdGhlIEZvcmVzdCBTZXJ2aWNlLiANCgkJQSAxLDAwMCBtZXRlciBidWZmZXIgd2FzIHVzZWQg aW4gdGhlIG9wZW4gY2hhbm5lbCB0byBtYXRjaCB0aGUgYnVmZmVyIGRpc3RhbmNlIHVzZWQgd2l0 aGluIHRoZSByZXN0IG9mIFNFIEFLIFdCRC4gVGhlcmUgaXMgYSBuYXJyb3cgcG9ydGlvbiBvZiB0 aGUgY2hhbm5lbCB3aGVyZSB0aGUgYm91bmRhcnkgd2FzIGdyYWR1YWxseSByZWR1Y2VkIGZyb20g dGhlIDEsMDAwIG1ldGVyIGJ1ZmZlciB0byBhIDEwMCBtZXRlciBidWZmZXIuDQoJCQ0KCQkyMDE0 IC0gVXBkYXRlZCBBbGFza2HigJlzIHJlZ2lvbiAxOTA0IGJhc2VkIG9uIGEgcmVxdWVzdCBmcm9t IE5IRCBwcm9ncmFtIGFuZCBhcHByb3ZlZCBieSBzdGF0ZSBwYXJ0bmVycy4gMTkwNCB3YXMgc3Vi ZGl2aWRlZCAzIG5ldyA0LWRpZ2l0IGh5ZHJvbG9naWMgdW5pdHMuIA0KCQlUaGUgbmV3IHVuaXRz IGFyZQ0KCQkxOTA3IOKAkyBVcHBlciBZdWtvbiBSaXZlcg0KCQkxOTA3MDEg4oCTIEhlYWR3YXRl cnMgWXVrb24gUml2ZXINCgkJMTkwOCDigJMgTWlkZGxlIFl1a29uIFJpdmVyDQoJCTE5MDkg4oCT IExvd2VyIFl1a29uIFJpdmVyDQoJCQ0KCQkyMDE2IC0gVXBkYXRlcyB0byBBSyA4LWRpZ2l0IHVu aXRzIGJhc2VkIG9uIGhhcm1vbml6YXRpb24gZWZmb3J0IHdpdGggQ2FuYWRhDQoJCTE5MDcwNTA0 IChFYWdsZSBDcmVlay1ZdWtvbiBSaXZlcikgaXMgYmVpbmcgc3ViZGl2aWRlZCAyIG5ldyA4LWRp Z2l0IGh5ZHJvbG9naWMgdW5pdHMuIE9yaWdpbmFsIGNvZGUgYW5kIG5hbWUgYXJlIGJlaW5nIHJl dGlyZWQuDQoJCUhVQzggLSAxOTA3MDUwNSAoVGF0b25kdWsgUml2ZXItWXVrb24gUml2ZXIpDQoJ CUhVQzggLSAxOTA3MDUwNiAoQ2hhcmxleSBSaXZlci1ZdWtvbiBSaXZlcikNCgkJDQoJCTE5MDYw NTAzIChCZWF1Zm9ydCBMYWdvb24pIGlzIGJlaW5nIHN1YmRpdmlkZWQgMyBuZXcgOC1kaWdpdCBo eWRyb2xvZ2ljIHVuaXRzLiBPcmlnaW5hbCBjb2RlIGFuZCBuYW1lIGFyZSBiZWluZyByZXRpcmVk Lg0KCQlIVUM4IC0gMTkwNjA1MDQgKEtvbmdha3VhdCBSaXZlci1CZWF1Zm9ydCBMYWdvb24pDQoJ CUhVQzggLSAxOTA2MDUwNSAoRmlydGggUml2ZXIpDQoJCUhVQzggLSAxOTA2MDUwNiAoQmFiYmFn ZSBSaXZlcikgaXMgY29tcGxldGVseSB3aXRoaW4gQ2FuYWRhIFl1a29uIFRlcnJpdG9yeQ0KCQkJ DQoJQXJpem9uYToNCgkJTGVnYWN5IDE1MDEwMDA5IEZvcnQgUGllcmNlIFdhc2ggbmFtZSBjaGFu Z2VkIHRvIEZvcnQgUGVhcmNlIFdhc2ggdG8gYWNjb3VudCBmb3IgbWlzc3BlbGwuDQoJCUxlZ2Fj eSAxNTAxMDAwNyBIdWFsYXBhaSBXYXNoIG5hbWUgc2hvdWxkIGNoYW5nZSBhcyB0aGUgd2FzaCBp cyBub3cgaW4gdGhlIGFkamFjZW50IFN1YmJhc2luLiBDaGFuZ2VkIHRvIFJlZCBMYWtlIA0KCQ0K CUNhbGlmb3JuaWE6DQoJCUxlZ2FjeSAxODAxMDEwOSBHdWFsYWxhLVNhbG1vbiBoYWQgYW4gYXJl YSB0aGUgc2l6ZSBvZiBzZXZlcmFsIDEyLWRpZ2l0IEhVcyB0aGF0IGhhcyBiZWVuIGFnZ3JlZ2F0 ZWQgaW50byB0aGUgYWRqYWNlbnQgbGVnYWN5IDE4MDUwMDA1IFRvbWFsZXMtRHJha2UgQmF5cyBh cyBhIHJlc3VsdCBvZiBjb2FzdGFsIGltcGxlbWVudGF0aW9uLiBUaGlzIGlzIGFwcHJvdmVkIGJ5 IHRoZSBpbi1zdGF0ZSBXQkQgU3Rld2FyZCBhbmQgVDMuTGVnYWN5IDE4MDMwMDEyIGFuZCBuZXcg MTgwMzAwMTIgVHVsYXJlLUJ1ZW5hIFZpc3RhIExha2VzIGNoYW5nZWQgdG8gVHVsYXJlIExha2Ug QmVkIGFzIHRoZSBib3VuZGFyeSBoYXMgY2hhbmdlZCBzbyBzaWduaWZpY2FudGx5IHRoYXQgQnVl bmEgVmlzdGEgTGFrZXMgYXJlIG5vIGxvbmdlciBpbiB0aGUgYWRqdXN0ZWQgaHlkcm9sb2dpYyB1 bml0Lg0KCQlMZWdhY3kgMTgwNDAwMDEgYW5kIG5ldyAxODA0MDAwNyBuYW1lIGNoYW5nZWQgZnJv bSBVcHBlciBDaG93Y2hpbGxhLVVwcGVyIEZyZXNubyB0byBGcmVzbm8gUml2ZXIgYXMgdGhlIENo b3djaGlsbGEgaXMgbm8gbG9uZ2VyIGluIHRoZSBhZGp1c3RlZCBoeWRyb2xvZ2ljIHVuaXQuDQoJ CUxlZ2FjeSAxODA0MDAwMiBhbmQgbmV3IDE4MDQwMDAyIG5hbWUgY2hhbmdlZCBmcm9tIE1pZGRs ZSBTYW4gSm9hcXVpbi1Mb3dlciBNZXJjZWQtTG93ZXIgU3RhbmlzbGF1cyB0byBMb3dlciBTYW4g Sm9hcXVpbiBSaXZlciBhcyBNZXJjZWQgYW5kIFN0YW5pc2xhdXMgUml2ZXJzIGFyZSBubyBsb25n ZXIgaW4gdGhlIGFkanVzdGVkIGh5ZHJvbG9naWMgdW5pdC4NCgkJTGVnYWN5IDE4MDUwMDA2IFNh biBGcmFuY2lzY28tQ29hc3RhbCBTb3V0aCB3aWxsIGFic29yYiA0IGNvYXN0YWwgMTItZGlnaXQg SFVzIGZyb20gbGVnYWN5IDE4MDYwMDAxIFNhbiBMb3JlbnpvLVNvcXVlbCBhcyBhIHJlc3VsdCBv ZiBjb2FzdGFsIGltcGxlbWVudGF0aW9uLiBUaGlzIGlzIGFwcHJvdmVkIGJ5IHRoZSBpbi1zdGF0 ZSBXQkQgU3Rld2FyZCBhbmQgdGhlIFdCRCBOYXRpb25hbCBUZWNobmljYWwgQ29vcmRpbmF0b3Jz IChOVEMpDQoJCUxlZ2FjeSAxODA2MDAwNiBDZW50cmFsIENvYXN0YWwgd2lsbCBhYnNvcmIgYW4g YXJlYSB0aGUgc2l6ZSBvZiA2IDEyLWRpZ2l0IEhV4oCZcyBmcm9tIGxlZ2FjeSAxODA2MDAxMiBD YXJtZWwgd2hpY2ggYWxsIGRyYWlucyBkaXJlY3RseSB0byB0aGUgUGFjaWZpYyBPY2Vhbi4gVGhp cyBpcyBhcHByb3ZlZCBieSB0aGUgaW4tc3RhdGUgV0JEIFN0ZXdhcmQgYW5kIHRoZSBXQkQgTmF0 aW9uYWwgVGVjaG5pY2FsIENvb3JkaW5hdG9ycyAoTlRDKQ0KCQlQb3J0aW9ucyBvZiBsZWdhY3kg MTgwNjAwMTEsIDE4MDYwMDEyLCBhbmQgcGFydCBvZiAxOTA2MDAwMSB3aWxsIGJlY29tZSBhIG5l dyBzdWJiYXNpbiBhY2NvdW50aW5nIGZvciBhbGwgb2YgdGhlc2UgZnJvbnRhbCBwaWVjZXMuIEl0 IHdpbGwgYmUgY29kZWQgMTgwNjAwMTUgYW5kIG5hbWVkIE1vbnRlcmV5IEJheS4gVGhpcyBpcyBh cHByb3ZlZCBieSB0aGUgaW4tc3RhdGUgV0JEIFN0ZXdhcmQgYW5kIHRoZSBXQkQgTmF0aW9uYWwg VGVjaG5pY2FsIENvb3JkaW5hdG9ycyAoTlRDKQ0KCQlMZWdhY3kgMTgwNjAwMTMgU2FudGEgQmFy YmFyYSBDb2FzdGFsIGhhZCBhbiBhcmVhIHRoZSBzaXplIG9mIG9uZSAxMi1kaWdpdCBIVSB3aGlj aCB3aWxsIGJlIGFnZ3JlZ2F0ZWQgd2l0aCBsZWdhY3kgMTgwNzAxMDEgVmVudHVyYSBhcyBhIHJl c3VsdCBvZiBjb2FzdGFsIGltcGxlbWVudGF0aW9uLiBUaGlzIGlzIGFwcHJvdmVkIGJ5IHRoZSBp bi1zdGF0ZSBXQkQgU3Rld2FyZCBhbmQgdGhlIFdCRCBOYXRpb25hbCBUZWNobmljYWwgQ29vcmRp bmF0b3JzIChOVEMpDQoJCUxlZ2FjeSAxODA3MDEwNCBTYW50YSBNb25pY2EgQmF5IGhhZCBhbiBh cmVhIHRoZSBzaXplIG9mIHNldmVyYWwgMTItZGlnaXQgSFVzIHdoaWNoIHdpbGwgYmUgYWdncmVn YXRlZCB3aXRoIGxlZ2FjeSAxODA3MDEwNiBTYW4gR2FicmllbCBhcyBhIHJlc3VsdCBvZiBjb2Fz dGFsIGltcGxlbWVudGF0aW9uLiBUaGlzIGlzIGFwcHJvdmVkIGJ5IHRoZSBpbi1zdGF0ZSBXQkQg U3Rld2FyZCBhbmQgV0JEIE5hdGlvbmFsIFRlY2huaWNhbCBDb29yZGluYXRvcnMgKE5UQykNCgkJ TGVnYWN5IDE4MTAwMjAwIGhhcyBub3cgYmVlbiBzdWJkaXZpZGUgaW50byAxODEwMDIwMSwgMTgx MDAyMDIsIDE4MTAwMjAzLCBhbmQgMTgxMDAyMDQuIA0KCQlUaGUgbGVnYWN5IG5hbWUgZm9yIDE4 MDEwMDIwMCBoYXMgYmVlbiByZXRhaW5lZCBhcyB0aGUgU2FsdG9uIFNlYSBmb3IgbmV3ICBjb2Rl IDE4MTAwMjA0LiBOZXcgbmFtZXMgZm9yIHRoZSBvdGhlciBzdWJkaXZpc2lvbnMgaGF2ZSBiZWVu IHJldmlld2VkIGFuZCBhY2NlcHRlZCBhcyBmb2xsb3dzOg0KCQkJMTgxMDAyMDEgV2hpdGV3YXRl ciBSaXZlcg0KCQkJMTgxMDAyMDIgQ2Fycml6byBDcmVlaw0KCQkJMTgxMDAyMDMgU2FuIEZlbGlw ZSBDcmVlaw0KCQlMZWdhY3kgMTgwNDAwMDIgYW5kIG5ldyAxODA0MDA1MSBuYW1lIE1pZGRsZSBT YW4gSm9hcXVpbi1Mb3dlciBNZXJjZWQtTG93ZXIgU3RhbmlzbGF1cyB3YXMgY2hhbmdlIHRvIFJv Y2sgQ3JlZWstRnJlbmNoIENhbXAgU2xvdWdoLg0KCQlMZWdhY3kgMTgwMjAxMjQgSG9uY3V0IEhl YWR3YXRlcnMgbmFtZSBhbmQgY29kZSBoYXZlIGJlZW4gcmV0aXJlZC4gIEl0IHdhcyBhYnNvcmJl ZCBpbiB0byBsZWdhY3kgMTgwMjAxMDYgTG93ZXIgRmVhdGhlciB0byBmb3JtIHRoZSBuZXcgMTgw MjAxNTkuIFdCRCBOYXRpb25hbCBUZWNobmljYWwgQ29vcmRpbmF0b3JzIChOVEMpIHJlY29tbWVu ZHMgdGhlIG5hbWUgcmV0YWluIHRoZSBjb21iaW5lZCBsZWdhY3kgbmFtZXMgb2YgSG9uY3V0IEhl YWR3YXRlcnMtTG93ZXIgRmVhdGhlci4NCgkJTGVnYWN5IDE4MDIwMTIwIFVwcGVyIEJ1dHRlIGFu ZCBsZWdhY3kgMTgwMjAxMDUgTG93ZXIgQnV0dGUgaGF2ZSBiZWVuIHJldGlyZWQuDQoJCVRoZSB0 d28gaHlkcm9sb2dpYyB1bml0cyB3ZXJlIGNvbWJpbmVkIGluIHRvIHRoZSBuZXcgYWNjZXB0ZWQg Y29kZSBhbmQgbmFtZSBvZiAxODAyMDE1OCBCdXR0ZSBDcmVlay4NCgkJTGVnYWN5IDE4MDIwMTE5 IE1pbGwtQmlnIENoaWNvLCAxODAyMDEwMyBTYWNyYW1lbnRvLUxvd2VyIFRob21lcywgYW5kIDE4 MDIwMTE0IFVwcGVyIEVsZGVyIFRob21lcyBoYXZlIGJlZW4gcmV0aXJlZC4gIFRoZSBhY2NlcHRl ZCBuYW1lcyBhbmQgY29kZXMgZm9yIHRoZSBuZXdseSBkZWxpbmVhdGVkIGh5ZHJvbG9naWMgdW5p dHMgdG8gcmVwbGFjZSB0aG9zZSBhcmVhcyBhcmUgMTgwMjAxNTcgQmlnIENoaWNvIENyZWVrLVNh Y3JhbWVudG8gUml2ZXIsIDE4MDIwMTU2IFRob21lcyBDcmVlay1TYWNyYW1lbnRvIFJpdmVyLCBh bmQgMTgwMjAxNTUgUGF5bmVzIENyZWVrLVNhY3JhbWVudG8gUml2ZXIuDQoJCVRoZSBmb2xsb3dp bmcgbGVnYWN5IG5hbWVzIGFuZCBjb2RlcyBoYXZlIGJlZW4gcmV0aXJlZDogMTgwMjAxMTMgQ290 dG9ud29vZCBIZWFkd2F0ZXJzLCAxODAyMDEwMiBMb3dlciBDb3R0b253b29kLCAxODAyMDEwMSBT YWNyYW1lbnRvLUxvd2VyIENvdy1Mb3dlciBDbGVhciwgMTgwMjAxMTggVXBwZXIgQ293LUJhdHRs ZSwgYW5kIDE4MDIwMTEyIFNhY3JhbWVudG8tVXBwZXIgQ2xlYXIuICBUaGUgYWNjZXB0ZWQgY29k ZXMgZm9yIHRoZSBuZXdseSBkZWxpbmVhdGVkIGh5ZHJvbG9naWMgdW5pdHMgdGhhdCByZXBsYWNl IHRob3NlIGFyZWFzIHdpbGwgYmUgMTgwMjAxNTEtMTgwMjAxNTQuICANCgkJCVRoZSBhcHByb3Zl ZCBuYW1lcyBhcmU6DQoJCQkxODAyMDE1MSBDb3cgQ3JlZWsNCgkJCTE4MDIwMTUyIENvdHRvbndv b2QgQ3JlZWsNCgkJCTE4MDIwMTUzIEJhdHRsZSBDcmVlaw0KCQkJMTgwMjAxNTQgQ2xlYXIgQ3Jl ZWstU2FjcmFtZW50byBSaXZlciANCgkJMTgwMTAxMTEgY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4g cmV0aXJlZCBhbmQgdGhlIGFyZWEgaGFzIGJlZW4gc3ViZGl2aWRlZC4gQSBwb3J0aW9uIGlzIGlu IDE4MDEwMTA5IEd1YWxhbGEtU2FsbW9uLCBhbmQgdGhlIG90aGVyIHBvcnRpb24gaW4gMTgwNTAw MDUgVG9tYWxlcy1EcmFrZSBCYXlzDQoJCTE4MDIwMTA3IGNvZGUgYW5kIG5hbWUgaGF2ZSBiZWVu IHJldGlyZWQgYW5kIHRoZSBhcmVhIGlzIG5vdyBpbmNsdWRlZCB3aXRoIDE4MDIwMTI1IFVwcGVy IFl1YmENCgkJMTgwMjAxMDggY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4gcmV0aXJlZCBhbmQgdGhl IGFyZWEgaXMgbm93IGluY2x1ZGVkIHdpdGggMTgwMjAxMjYgVXBwZXIgQmVhcg0KCQkxODAyMDEx MCBjb2RlIGFuZCBuYW1lIGhhdmUgYmVlbiByZXRpcmVkIGFuZCB0aGUgYXJlYSBpcyBub3cgaW5j bHVkZWQgd2l0aCAxODAyMDExNiBVcHBlciBDYWNoZQ0KCQkxODAzMDAwOCBjb2RlIGFuZCBuYW1l IGhhdmUgYmVlbiByZXRpcmVkIGFuZCB0aGUgYXJlYSBpcyBub3cgaW5jbHVkZWQgd2l0aCAxODAz MDAxMiBUdWxhcmUgTGFrZSBCZWQNCgkJMTgwMzAwMTEgY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4g cmV0aXJlZCBhbmQgdGhlIGFyZWEgaGFzIGJlZW4gc3ViZGl2aWRlZC4gQSBwb3J0aW9uIGlzIGlu IDE4MDMwMDEyIFR1bGFyZSBMYWtlIEJlZCwgYW5kIHRoZSBvdGhlciBwb3J0aW9uIGluIDE4MDMw MDA5IFVwcGVyIERyeSANCgkJMTgwNDAwMDQgY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4gcmV0aXJl ZCBhbmQgdGhlIGFyZWEgaXMgbm93IHBhcnQgb2YgMTgwNDAwMTEgVXBwZXIgQ2FsYXZlcmFzIENh bGlmb3JuaWENCgkJMTgwNDAwMDUgY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4gcmV0aXJlZCBhbmQg dGhlIGFyZWEgaXMgbm93IHBhcnQgb2YgMTgwNDAwMDMgU2FuIEpvYXF1aW4gRGVsdGEsIDE4MDQw MDEyLCAxODA0MDAxMiBVcHBlciBNb2tlbHVtbmUsIGFuZCAxODA0MDAwMyBVcHBlciBDb3N1bW5l cw0KCQkxODAyMDEwOSBjb2RlIGFuZCBuYW1lIGhhdmUgYmVlbiByZXRpcmVkIGFuZCB0aGUgYXJl YSBpcyBub3cgcGFydCBvZiAxODAyMDE2MyBMb3dlciBTYWNyYW1lbnRvDQoJCTE4MDIwMTE3IGNv ZGUgYW5kIG5hbWUgaGF2ZSBiZWVuIHJldGlyZWQgYW5kIHRoZSBhcmVhIGlzIG5vdyBwYXJ0IG9m IDE4MDIwMTYyIFVwcGVyIFB1dGFoDQoJCTE4MDYwMDAxIGNvZGUgYW5kIG5hbWUgaGF2ZSBiZWVu IHJldGlyZWQsIGFuZCB0aGUgYXJlYXMgYXJlIG5vdyBzdWJkaXZpZGVkIGJldHdlZW4gMTgwNTAw MDYgU2FuIEZyYW5jaXNjbyBDb2FzdGFsIFNvdXRoIGFuZCAxODA2MDAxNSBNb250ZXJleSBCYXkN CgkJMTgwNjAwMTEgY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4gcmV0aXJlZCBhbmQgbm93IGlzIHN1 YmRpdmlkZWQgYmV0d2VlbiAxODA2MDAxNSBNb250ZXJleSBCYXkgYW5kIDE4MDYwMDA1IFNhbGlu YXMNCgkJMTgwNjAwMTIgY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4gcmV0aXJlZCBhbmQgdGhlIGFy ZWEgaXMgbm93IHBhcnQgb2YgMTgwNjAwMDYgQ2VudHJhbCBDb2FzdCBhbmQgMTgwNjAwMTUgTW9u dGVyZXkgQmF5DQoNCglDb2xvcmFkbzoNCgkJTGVnYWN5IDE0MDEwMDA2IFBhcmFjaHV0ZS1Sb2Fu IG5hbWUgYW5kIGNvZGUgaGF2ZSBiZWVuIHJldGlyZWQuIFRoaXMgYXJlYSBoYXMgYmVlbiBjb21i aW5lZCB3aXRoIDE0MDEwMDA1IENvbG9yYWRvIEhlYWR3YXRlcnMtUGxhdGVhdS4NCg0KCUNvbm5l Y3RpY3V0Og0KCQkwMTEwMDAwNyBjb2RlIGFuZCBuYW1lIGhhdmUgYmVlbiByZXRpcmVkIGFuZCB0 aGUgYXJlYSBpcyBub3cgcGFydCBvZiAwMTEwMDA0IFF1aW5uaXBpYWMNCg0KCURlbGF3YXJlOg0K CQkwMjA2MDAwNyBjb2RlIGFuZCBuYW1lIGhhdmUgYmVlbiByZXRpcmVkIGFuZCB0aGlzIGFyZWEg bm93IGluY2x1ZGVkIHdpdGggMDIwODAxMTAgVGFuZ2llcg0KCQkwMjA2MDAwOCBjb2RlIGFuZCBu YW1lIGhhdmUgYmVlbiByZXRpcmVkIGFuZCB0aGlzIGFyZWEgbm93IGluY2x1ZGVkIHdpdGggMDIw ODAxMDkgTmFudGljb2tlDQoJCTAyMDYwMDA5IGNvZGUgYW5kIG5hbWUgaGF2ZSBiZWVuIHJldGly ZWQgYW5kIHRoaXMgYXJlYSBpcyBub3cgcGFydCBvZiAwMjA4MDExMSBQb2tvbW9rZS1XZXN0ZXJu IExvd2VyIERlbG1hcnZhIGFuZCAwMjA4MDExMCBUYW5naWVyDQoJCTAyMDYwMDEwIGNvZGUgYW5k IG5hbWUgaGF2ZSBiZWVuIHJldGlyZWQgYW5kIHRoaXMgYXJlYSBpcyBub3cgcGFydCBvZiAwMjA0 MDMwMyBDaGluY290ZWFndWUNCg0KCUZsb3JpZGE6DQoJCUxlZ2FjeSAwMzA5MDIwMiBFdmVyZ2xh ZGVzIGhhcyBiZWVuIG1vZGlmaWVkIGFzIGZvbGxvd3M6DQoJCVRoZSBsYXJnZXN0IHBhcnQgb2Yg MDMwOTAyMDIgRXZlcmdsYWRlcyBjYXJyaWVzIHRoZSBsZWdhY3kgY29kZSBhbmQgbmFtZS4NCgkJ U3ViZGl2aWRlZCBvdXQgbmV3IFN1YmJhc2luIDAzMDkwMjA2IEZsb3JpZGEgU291dGhlYXN0IENv YXN0DQoJCUNvbWJpbmVkIGFkZGl0aW9uYWwgc21hbGxlciBwb3J0aW9ucyBvZiAwMzA5MDIwMiB3 aXRoIGFkamFjZW50IFN1YmJhc2lucy4NCg0KCUxvdWlzaWFuYToNCgkJMjAwOSAtIFVTR1MgV2F0 ZXIgU2NpZW5jZSBDZW50ZXIsIFNhbHQgTGFrZSBDaXR5LCBVVC4gUmVjb2RlZCBhbGwgSFVDMTIg Y29kZXMgYW5kIERTIGNvZGVzIGZvciAwODA4MDEwMCBBdGNoYWZhbGF5YSB0byAwODA4MDEwMSBB dGNoYWZhbGF5YS4gMDgwODAxMDEgaXMgdGhlIGNvcnJlY3QgY29kZS4gRHVyaW5nIHRoZSBkZXZl bG9wbWVudCBvZiB0aGUgV0JEIHRoZSAxMi1kaWdpdCBoeWRyb2xvZ2ljIHVuaXRzIHdlcmUgbWlz Y29kZWQgYXMgMDgwODAxMDAuDQogICAgICAgIA0KCU1haW5lDQoJCVVwZGF0ZXMgYXQgdGhlIDgt ZGlnaXQgb2NjdXJyZWQgYXMgYSByZXN1bHQgb2YgdGhlIFVTL0NhbmFkYSBoYXJtb25pemF0aW9u IGVmZm9ydC4gU2VlIHByb2Nlc3Mgc2VjdGlvbiBvbiBDYW5hZGlhbiBoYXJtb25pemF0aW9uIGZv ciB0aGVzZSBkZXRhaWxzLg0KCQ0KCU1hc3NhY2h1c2V0dHM6DQoJCTAxMDcwMDAyIGlzIHJldGFp bmVkIGZvciB0aGUgaGVhZHdhdGVycyBvZiB0aGlzIG9yaWdpbmFsIGNvZGUsIGJ1dCDCviBvZiB0 aGUgb3JpZ2luYWwgYXJlYSBpcyBub3cgY29kZWQgMDEwNzAwMDYuIFRoZSBhcmVhIG5vdyBjb2Rl ZCAwMTA3MDAwNiByZXRhaW5lZCB0aGUgb3JpZ2luYWwgbmFtZSBmb3IgdGhlIGFyZWEgb2YgbGVn YWN5IDAxMDcwMDAyIGFuZCBpcyBjYWxsZWQgTWVycmltYWNrLCB3aGVyZWFzIDAxMDcwMDAyIGlz IG5vdCBjYWxsZWQgV2lubmlwZXNhdWtlZSBSaXZlciAob3RoZXIgc3RhdGUgZG9jdW1lbnRhdGlv biBzdXBwb3J0aW5nIHRoaXMgZGVjaXNpb24pDQoNCglOZXcgSGFtcHNoaXJlOg0KCQlMZWdhY3kg MDEwNzAwMDIgTWVycmltYWNrIHdhcyBzdWJkaXZpZGVkIGluIHRvIDAxMDcwMDAyIE1lcnJpbWFj ayB0byB0aGUgTm9ydGggYW5kIDAxMDcwMDA2IE1lcnJpbWFjayBSaXZlciB0byB0aGUgU291dGgu ICBUaGUgdGVjaG5pY2FsIHRlYW0gcmVxdWVzdHMgdGhhdCB0aGUgcG9ydGlvbiB0byB0aGUgU291 dGggcmV0YWluIHRoZSBsZWdhY3kgY29kZSBhbmQgbmFtZSBvZiAwMTA3MDAwMiwgTWVycmltYWNr LCBhbmQgdGhhdCB0aGUgbm9ydGhlcm4gaHlkcm9sb2dpYyB1bml0IHJlY2VpdmUgdGhlIGNvZGUg YW5kIG5hbWUgMDEwNzAwMDYgV2lubmlwZXNhdWtlZSBSaXZlci4gIFRoZXJlIGlzIG5vIE1lcnJp bWFjayBSaXZlciBpbiB0aGUgbm9ydGhlcm4gcG9ydGlvbiBhbmQgdGhlIHNvdXRoZXJuIHBvcnRp b24gbW9zdCBjbG9zZWx5IHJlc2VtYmxlcyB0aGUgbGVnYWN5IGRlbGluZWF0aW9uLg0KCQ0KCQlB ZGRpdGlvbmFsIHVwZGF0ZXMgYXQgdGhlIDgtZGlnaXQgb2NjdXJyZWQgYXMgYSByZXN1bHQgb2Yg dGhlIFVTL0NhbmFkYSBoYXJtb25pemF0aW9uIGVmZm9ydC4gU2VlIHByb2Nlc3Mgc2VjdGlvbiBv biBDYW5hZGlhbiBoYXJtb25pemF0aW9uIGZvciB0aGVzZSBkZXRhaWxzDQoNCglOZXcgWW9yazoN CgkJTGVnYWN5IDA0MTUwMzA3IEVuZ2xpc2gtU2FsbW9uIHdhcyBzdWJkaXZpZGVkIGludG8gMDQx NTAzMDcgU2FsbW9uIGFuZCAwNDE1MDMwOCBDaGF0ZWF1Z2F5LUVuZ2xpc2guIFRoZSBUZWNobmlj YWwgVGVhbSBhY2NlcHRzIHRoaXMgY2hhbmdlLg0KCQ0KCQkyMDEwLSBFZGl0cyB3ZXJlIG1hZGUg dG8gTGFrZSBDaGFtcGxhaW4gQmFzaW4gbW92aW5nIGl0IGZyb20gUmVnaW9uIDAyIHRvIFJlZ2lv biAwNC4gVXBkYXRlIHRvIGRlbGluZWF0aW9uIGRhdGEgaW4gTGFrZSBDaGFtcGxhaW4gYXJlYSBv biB0aGUgVVMgc2lkZSBhbmQgQ2FuYWRpYW4gc2lkZS4gQWxsIGxpbmVzIHdpdGhpbiBDYW5hZGEg YXJlIGRyYWZ0IGRlbGluZWF0aW9ucyBvbmx5LiBUaGVzZSBib3VuZGFyaWVzIHdlcmUgYmFzZWQg b24gQ2FuYWRhJ3MgMTo1MCwwMDAgTmF0aW9uYWwgSHlkcm9ncmFwaHkgTmV0d29yayBXb3JrIFVu aXRzIG9yIHdlcmUgZGVsaW5lYXRlZCB1c2luZyBlaXRoZXIgMTo1MCwwMDAgc2NhbGUgdG9wb3Mg b3IgQ0RFRCBlbGV2YXRpb24gZGF0YS4gVGhlc2UgYm91bmRhcmllcyBoYXZlIG5vdCBiZWVuIGZ1 bGx5IHJldmlld2VkIG9yIGFwcHJvdmVkIGJ5IGVpdGhlciB0aGUgQ2FuYWRpYW4gZmVkZXJhbCBv ciBwcm92aW5jaWFsIGFnZW5jaWVzIGFuZCBhcmUgc3ViamVjdCB0byBjaGFuZ2UuICBCb3JkZXIg cG9seWdvbnMgYXJlIGJhc2VkIG9mZiBvZiB0aGVzZSBpbnRlcm5hbCBib3VuZGFyaWVzIHdpdGhp biBDYW5hZGEgYW5kIHNvIGFyZSBhbHNvIHN1YmplY3QgdG8gY2hhbmdlIHdpdGhpbiBDYW5hZGEu IEVkaXRzIG1hZGUgYnkgVVNHUyBTYWx0IExha2UgQ2l0eSwgV2F0ZXIgU2NpZW5jZSBDZW50ZXI6 IHRvIHRoZSBMYWtlIENoYW1wbGFpbiBhbmQgc3Vycm91bmRpbmcgc3ViYmFzaW5zIHRvIHJlbW92 ZSBhbGwgc2hvcmVsaW5lIHJlcHJlc2VudGF0aW9ucyBmcm9tIHRoZSBXQkQuIFRoZSBjb2Rlcywg RFMgY29kZXMgYW5kIG5hbWVzIHdoZXJlIHVwZGF0ZWQgd2hlcmUgbmVjZXNzYXJ5Lg0KDQoJCTAy MDEwMDA0IG5hbWUgYW5kIGNvZGUgaGF2ZSBiZWVuIHJldGlyZWQsIGFuZCB0aGlzIGFyZWEgd2Fz IHN1YmRpdmlkZWQsIHBhcnQgaXMgaW4gMDQxNTA0MDQgQXVzYWJsZSBSaXZlciBhbmQgcGFydCBp biAwNDE1MDQwOCBMYWtlIENoYW1wbGFpbi4NCgkJMDIwMTAwMDYgbmFtZSBhbmQgY29kZSBoYXZl IGJlZW4gcmV0aXJlZCBhbmQgdGhpcyBhcmVhIHdhcyBzdWJkaXZpZGVkLiBQYXJ0IGlzIGluIDA0 MTUwNDA2IFNhcmFuYWMgUml2ZXIgYW5kIHBhcnQgaXMgaW4gMDQxNTA0MDggTGFrZSBDaGFtcGxh aW4uDQoJCTAyMDEwMDAxIG5hbWUgYW5kIGNvZGUgaGF2ZSBiZWVuIHJldGlyZWQgYW5kIHRoaXMg YXJlYSB3YXMgc3ViZGl2aWRlZCBpbnRvIDA0MTUwNDAxIE1ldHRhd2VlIFJpdmVyIGFuZCAwNDE1 MDQwOCBMYWtlIENoYW1wbGFpbg0KCQ0KCQlUaGUgbmV3IExha2UgQ2hhbXBsYWluIHVuaXQgMDQx NTA0MDggaXMgbWFkZSB1cCBvZiBwYXJ0cyBvZiBvcmlnaW5hbCBIVUMyNTBLIHVuaXRzIDAyMDEw MDAxLCAwMjAxMDAwMiwgMDIwMTAwMDMsIDAyMDEwMDA0LCAwMjAxMDAwNSwgMDIwMTAwMDYgYW5k IDAyMDEwMDA3DQoJDQoJCUFkZGl0aW9uYWwgdXBkYXRlcyBhdCB0aGUgOC1kaWdpdCBvY2N1cnJl ZCBhcyBhIHJlc3VsdCBvZiB0aGUgVVMvQ2FuYWRhIGhhcm1vbml6YXRpb24gZWZmb3J0LiBTZWUg cHJvY2VzcyBzZWN0aW9uIG9uIENhbmFkaWFuIGhhcm1vbml6YXRpb24gZm9yIHRoZXNlIGRldGFp bHMNCg0KCU5vcnRoIENhcm9saW5hOg0KCQlMZWdhY3kgc3ViYmFzaW4gMDMwMzAwMDEgYW5kIGxl Z2FjeSBzdWJiYXNpbiAwMzAyMDEwNiBoYXZlIGJlZW4gY29tYmluZWQgYW5kIHJlY29tbWVuZGVk IGZvciBhY2NlcHRhbmNlIGFzIGEgbmV3IDYtZGlnaXQgQmFzaW4gMDMwMjAzIE9uc2xvdyBCYXku ICANCgkJTGVnYWN5IFN1YmJhc2luIDAzMDMwMDAxIE5ldyBoYXMgYmVlbiByZWNvZGVkIGFuZCBy ZW5hbWVkIHRvIDAzMDIwMzAyIE5ldyBSaXZlci4gVGhlIHRlY2huaWNhbCB0ZWFtIGFjY2VwdHMg dGhlIG5ldyBjb2RlIGFuZCBuYW1lLg0KCQlMZWdhY3kgU3ViYmFzaW4gMDMwMjAxMDYgQm9ndWUt Q29yZSBTb3VuZHMgaGFzIGJlZW4gcmVjb2RlZCBhbmQgcmVuYW1lZCB0byAwMzAyMDMwMSBXaGl0 ZSBPYWsgUml2ZXIuIFRoZSB0ZWNobmljYWwgdGVhbSBhY2NlcHRzIHRoZSBuZXcgY29kZSBhbmQg bmFtZS4NCgkJMDMwNDAyMDcgY29kZSBhbmQgbmFtZSBhcmUgc3RpbGwgaW4gdXNlLCBidXQgdGhl IHBvcnRpb24gdGhhdCBzdHJldGNoZXMgYWxvbmcgdGhlIGNvYXN0IGhhcyBiZWVuIGJyb2tlbiBv dXQgdG8gYSBuZXcgMDMwNDAyMDggQ29hc3RhbCBDYXJvbGluYQ0KDQoJTm9ydGggRGFrb3RhOg0K CQlMZWdhY3kgMTAxNjAwMDcgRWFzdCBNaXNzb3VyaSBDb3RlYXUsIGNoYW5nZWQgdG8gTm9ydGgg Rm9yayBTbmFrZSBhcyB0aGF0IGlzIGEgYmV0dGVyIGh5ZHJvbG9naWMgcmVwcmVzZW50YXRpb24g b2YgdGhlIGh5ZHJvbG9naWMgdW5pdC4NCgkJTGVnYWN5IDEwMTcwMTAzIFNvdXRoIEJpZyBTaW91 eCBDb3RlYXUgbmFtZSBjaGFuZ2VkIHRvIExha2UgVGhvbXBzb24NCgkJTGVnYWN5IDEwMTcwMjAx IE1pZGRsZSBCaWcgU2lvdXggQ290ZWF1IG5hbWUgY2hhbmdlZCB0byBVcHBlciBCaWcgU2lvdXgN CgkJTGVnYWN5IDEwMTcwMjAyIFVwcGVyIEJpZyBTaW91eCBuYW1lIGNoYW5nZWQgdG8gTWlkZGxl IEJpZyBTaW91eA0KCQlCZWNhdXNlIGxlZ2FjeSAxMDE3MDIwMyBMb3dlciBCaWcgU2lvdXggc2hv dWxkIHN0YXkgdGhlIHNhbWUsIGl0IGRvZXNu4oCZdCBtYWtlIHNlbnNlIG5vdCB0byBoYXZlIGEg bWlkZGxlIGFuZCBhbiB1cHBlci4gQWx0aG91Z2ggdGhlIGJvdW5kYXJpZXMgaGF2ZSBzaWduaWZp Y2FudGx5IHJlbG9jYXRlZCwgaXQgc2VlbSBsaWtlIG1vc3QgdmlhYmxlIG9wdGlvbiBpcyB0byBy ZXRhaW4gdGhlIFVwcGVyLCBNaWRkbGUsIExvd2VyIG5hbWluZyBjb252ZW50aW9uLg0KDQoJCUFk ZGl0aW9uYWwgdXBkYXRlcyBhdCB0aGUgOC1kaWdpdCBvY2N1cnJlZCBhcyBhIHJlc3VsdCBvZiB0 aGUgVVMvQ2FuYWRhIGhhcm1vbml6YXRpb24gZWZmb3J0LiBTZWUgcHJvY2VzcyBzZWN0aW9uIG9u IENhbmFkaWFuIGhhcm1vbml6YXRpb24gZm9yIHRoZXNlIGRldGFpbHMNCg0KCU9yZWdvbjogDQoJ CUxlZ2FjeSAxNzEwMDMwNCBDb29zIHdhcyBzdWJkaXZpZGVkIGludG8gMTcxMDAzMDQgQ29vcyB0 byB0aGUgbm9ydGggYW5kIDE3MTAwMzA2IFNpeGVzIHRvIHRoZSBzb3V0aC4gVGhlIFRlY2huaWNh bCB0ZWFtIGFjY2VwdHMgdGhpcyBjaGFuZ2UuDQoNCglTb3V0aCBDYXJvbGluYToNCgkJTGVnYWN5 IDAzMDQwMjA3IENhcm9saW5hIENvYXN0YWwtU2FtcGl0IHdhcyBzdWJkaXZpZGVkIGludG8gYSBz b3V0aGVybiBwb3J0aW9uIGNhbGxlZCAwMzA0MDIwNyBDYXJvbGluYSBDb2FzdGFsLVNhbXBpdCBh bmQgYSBub3J0aGVybiBwb3J0aW9uIG5ld2x5IGNvZGVkIGFuZCBuYW1lZCAwMzA0MDIwOCBDb2Fz dGFsIENhcm9saW5hLiBUaGUgdGVjaG5pY2FsIHRlYW0gcmVjb2duaXplcyB0aGlzIGFzIGFuIGFj Y2VwdGFibGUgc29sdXRpb24sIGhvd2V2ZXIsIGZ1dHVyZSBjb2FzdGFsIGRlbGluZWF0aW9ucyBt YXkgcmVxdWlyZSBhZGRpdGlvbmFsIG1vZGlmaWNhdGlvbi4NCgkJTGVnYWN5IDAzMDUwMjAyIFNv dXRoIENhcm9saW5hIENvYXN0YWwgaGFzIG5vdyBiZWVuIHN1YmRpdmlkZWQgaW50byBzdWJiYXNp bnMgMDMwNTAyMDIgU291dGggQ2Fyb2xpbmEgQ29hc3RhbCBhbmQgMDMwNTAyMDkgQnVsbHMgQmF5 IHdpdGggYW4gYWRkaXRpb25hbCBwb3J0aW9uIG9mIDAzMDUwMjAyIGJlaW5nIGFnZ3JlZ2F0ZWQg aW4gd2l0aCBsZWdhY3kgMDMwNTAyMDEgDQoJCUxlZ2FjeSAwMzA1MDIwOCBCcm9hZC1TdC4gSGVs ZW5hIGhhcyBoYWQgdGhlIGZvbGxvd2luZyBtb2RpZmljYXRpb25zIHdoaWNoIHRoZSBOVEMgY29u Y3VycyB3aXRoOg0KCQkwMzA1MDIwOCBCcm9hZC1TdC4gSGVsZW5hIGNvZGUgYW5kIG5hbWUgcmV0 YWluZWQgaW50byBhIG11Y2ggc21hbGxlciB1bml0IGNhcHR1cmluZyBvbmx5IHRoZSBCcm9hZC1T dC4gSGVsZW5hIFJpdmVycw0KCQkJU3ViZGl2aWRlZCBpbnRvIG5ldyAwMzA2MDExMCBDYWxpYm9n dWUgU291bmQtV3JpZ2h0IFJpdmVyLCBhbmQgbm93IHBhcnQgb2YgdGhlIGFkamFjZW50IFN1YnJl Z2lvbiB0byB0aGUgc291dGguDQoJCQlTdWJkaXZpZGVkIGludG8gbmV3IDAzMDUwMjEwIFN0LiBI ZWxlbmEgSXNsYW5kIHBvcnRpb24gY29tYmluZWQgd2l0aCAwMzA1MDIwNyBTYWxrZWhhdGNoaWUu DQoJCUxlZ2FjeSAwMzA1MDIwNSBuYW1lIGlzIGNoYW5nZWQgdG8gRm91ciBIb2xlIFN3YW1wIChm cm9tIEVkaXN0by4uLnRoaXMgbmFtZSB3YXMgZmxpcHBlZCB3aXRoIHRoZSBoeWRyb2xvZ2ljIHVu aXQgdGhlIHdhdGVyIGZlYXR1cmUgcmVzaWRlcyBpbikuIFRoZSBXQkQgTmF0aW9uYWwgVGVjaG5p Y2FsIFRlYW0gcmVjb21tZW5kZWQgdGhhdCB0aGlzIG5hbWUgbm90IGJlIHJldXNlZCBhcyBpdCBo YXMgYmVlbiBoaXN0b3JpY2FsbHkgYXNzaWduZWQgdG8gMDMwNTAyMDYsIGJ1dCBhbGwgaW4gc3Rh dGUgaW50ZXJhZ2VuY3kgZm9sa3MgZmVsdCBzdHJvbmdseSB0aGF0IGl0IHNob3VsZCBiZSByZXVz ZWQgYXMgdGhhdCBpcyBieSBmYXIgdGhlIHByZWRvbWluYW50IGZlYXR1cmUgZm9yIHRoZSBIVS4g UmVwb3J0cyBzaW5jZSAyMDA1IHJlZmxlY3QgdGhpcy4NCgkJTGVnYWN5IDAzMDUwMjA2IG5hbWUg aXMgY2hhbmdlZCB0byBFZGlzdG8gUml2ZXIgdG8gcmVmbGVjdCB0aGUgbWFqb3IgaHlkcm9sb2dp YyBmZWF0dXJlLg0KDQoJU291dGggRGFrb3RhOg0KCQkyMDA5IC0gRWRpdHMgbWFkZSBieSBpbi1z dGF0ZSBkYXRhIHN0ZXdhcmQ7IGFsbCBvZiBzdWItYmFzaW4gMTAxNjAwMTAgKG5vdyByZXRpcmVk KSB3YXMgcmVjb2RlZCB0byAxMDE2MDAxMSAoTG93ZXIgSmFtZXMpOyBJbiBhZGRpdGlvbiB0byB0 aGUgcmVjb2Rpbmcgb2YgdGhpcyA4LWRpZ2l0IGxldmVsIHVuaXQgaW4gdGhlIEphbWVzIEJhc2lu LCB0aGlzIGdyb3VwIG9mIGVkaXRzIHByaW1hcmlseSBjb25zaXN0ZWQgb2YgbWlub3IgY29ycmVj dGlvbnMgdG8gbGluZXdvcmsgYW5kIDEyLWRpZ2l0IGRvd25zdHJlYW0gY29kZXMsIHBvcHVsYXRp bmcgbmNvbnRyYl9BIGZpZWxkcyBvZiBzZWxlY3RlZCAxMi1kaWdpdCB1bml0cywgYW5kIHR3ZWFr aW5nIHNlbGVjdGVkIDV0aC0gYW5kIDZ0aC1sZXZlbCB1bml0IG5hbWVzIHRvIGZhY2lsaXRhdGUg bWVyZ2luZyB3aXRoIEdOSVMuDQoJCQ0KCVRleGFzOg0KCQlMZWdhY3kxMzA3MDAwOCBMb3dlciBQ ZWNvcyB3YXMgc3ViZGl2aWRlZCBpbnRvIGEgbm9ydGhlcm4gYW5kIHNvdXRoZXJuIHBvcnRpb24u IFRoZSBub3J0aGVybiBwb3J0aW9uIHJldGFpbnMgdGhlIDEzMDcwMDA4IGNvZGUgYnV0IG5hbWUg c2hvdWxkIGJlIFBlY29zLiBUaGUgbmV3IHN1YmRpdmlkZWQgMTMwNzAwMTIgaHlkcm9sb2dpYyB1 bml0IHNob3VsZCBjYXJyeSB0aGUgbGVnYWN5IG5hbWUgTG93ZXIgUGVjb3MuDQoJCUxlZ2FjeSAx MzA5MDAwMiBMb3dlciBSaW8gR3JhbmRlIGlzIG1pc3NpbmcgZnJvbSB0aGUgY3VycmVudCBXQkQu DQoNCglWZXJtb250Og0KCQlVcGRhdGVkIDAxMTEwMDAwIGZyb20gUmVnaW9uIDAxIHRvIFJlZ2lv biAwNCBhbmQgaXMgbm93IDA0MTUwNTAwIChTdC4gRnJhbmNvaXMgUml2ZXIpLiBDcmFpZyBKb2hu c3RvbiAoVVNHUykgcG9pbnRlZCBvdXQgdGhhdCB0aGlzIHVuaXQgY29udGFpbnMgdGhlIFN0LiBG cmFuY29pcyBSaXZlciB3aGljaCBmbG93cyB1cCBpbnRvIENhbmFkYSBhbmQgdGhlbiBkdW1wcyBp bnRvIHRoZSBTdCBMYXdyZW5jZSBSaXZlci4gUmVnaW9uIDAxIGlzIE1haW5lIENvYXN0YWwgZHJh aW5hZ2UncyB3aGlsZSByZWdpb24gMDQgaXMgU3QuIExhd3JlbmNlIGRyYWluYWdlJ3MsIHNvIHRo aXMgdW5pdCByZWFsbHkgYmVsb25ncyBpbiByZWdpb24gMDQuIA0KCQ0KCQkyMDEwLSBFZGl0cyB3 ZXJlIG1hZGUgdG8gTGFrZSBDaGFtcGxhaW4gQmFzaW4gbW92aW5nIGl0IGZyb20gUmVnaW9uIDAy IHRvIFJlZ2lvbiAwNC4gVXBkYXRlIHRvIGRlbGluZWF0aW9uIGRhdGEgaW4gTGFrZSBDaGFtcGxh aW4gYXJlYSBvbiB0aGUgVVMgc2lkZSBhbmQgQ2FuYWRpYW4gc2lkZS4gQWxsIGxpbmVzIHdpdGhp biBDYW5hZGEgYXJlIGRyYWZ0IGRlbGluZWF0aW9ucyBvbmx5LiBUaGVzZSBib3VuZGFyaWVzIHdl cmUgYmFzZWQgb24gQ2FuYWRhJ3MgMTo1MCwwMDAgTmF0aW9uYWwgSHlkcm9ncmFwaHkgTmV0d29y ayBXb3JrIFVuaXRzIG9yIHdlcmUgZGVsaW5lYXRlZCB1c2luZyBlaXRoZXIgMTo1MCwwMDAgc2Nh bGUgdG9wb3Mgb3IgQ0RFRCBlbGV2YXRpb24gZGF0YS4gVGhlc2UgYm91bmRhcmllcyBoYXZlIG5v dCBiZWVuIGZ1bGx5IHJldmlld2VkIG9yIGFwcHJvdmVkIGJ5IGVpdGhlciB0aGUgQ2FuYWRpYW4g ZmVkZXJhbCBvciBwcm92aW5jaWFsIGFnZW5jaWVzIGFuZCBhcmUgc3ViamVjdCB0byBjaGFuZ2Uu ICBCb3JkZXIgcG9seWdvbnMgYXJlIGJhc2VkIG9mZiBvZiB0aGVzZSBpbnRlcm5hbCBib3VuZGFy aWVzIHdpdGhpbiBDYW5hZGEgYW5kIHNvIGFyZSBhbHNvIHN1YmplY3QgdG8gY2hhbmdlIHdpdGhp biBDYW5hZGEuIEVkaXRzIG1hZGUgYnkgVVNHUyBTYWx0IExha2UgQ2l0eSwgV2F0ZXIgU2NpZW5j ZSBDZW50ZXI6IHRvIHRoZSBMYWtlIENoYW1wbGFpbiBhbmQgc3Vycm91bmRpbmcgc3ViYmFzaW5z IHRvIHJlbW92ZSBhbGwgc2hvcmVsaW5lIHJlcHJlc2VudGF0aW9ucyBmcm9tIHRoZSBXQkQuIFRo ZSBjb2RlcywgRFMgY29kZXMgYW5kIG5hbWVzIHdoZXJlIHVwZGF0ZWQgd2hlcmUgbmVjZXNzYXJ5 Lg0KDQoJCTAyMDEwMDAxIG5hbWUgYW5kIGNvZGUgaGF2ZSBiZWVuIHJldGlyZWQgYW5kIHRoaXMg YXJlYSB3YXMgc3ViZGl2aWRlZCBpbnRvIDA0MTUwNDAxIE1ldHRhd2VlIFJpdmVyIGFuZCAwNDE1 MDQwOCBMYWtlIENoYW1wbGFpbi4NCgkJMDIwMTAwMDIgbmFtZSBhbmQgY29kZSBoYXZlIGJlZW4g cmV0aXJlZCBhbmQgdGhpcyBhcmVhIHdhcyBzdWJkaXZpZGVkIGludG8gMDQxNTA0MDIgT3R0ZXIg Q3JlZWsgYW5kIDA0MTUwNDA4IExha2UgQ2hhbXBsYWluLg0KCQkwMjAxMDAwMyBuYW1lIGFuZCBj b2RlIGhhdmUgYmVlbiByZXRpcmVkIGFuZCB0aGlzIGFyZWEgd2FzIHN1YmRpdmlkZWQgaW50byAw NDE1MDQwMyBXaW5vb3NraSBSaXZlciBhbmQgMDQxNTA0MDggTGFrZSBDaGFtcGxhaW4uDQoJCTAy MDEwMDA1IG5hbWUgYW5kIGNvZGUgaGF2ZSBiZWVuIHJldGlyZWQgYW5kIHRoaXMgYXJlYSB3YXMg c3ViZGl2aWRlZCBpbnRvIDA0MTUwNDA1IExhbW9pbGxlIFJpdmVyIGFuZCAwNDE1MDQwOCBMYWtl IENoYW1wbGFpbi4NCgkJMDIwMTAwMDcgbmFtZSBhbmQgY29kZSBoYXZlIGJlZW4gcmV0aXJlZCBh bmQgdGhpcyBhcmVhIHdhcyBzdWJkaXZpZGVkIGludG8gMDQxNTA0MDcgTWlzc2lxdW9pIFJpdmVy IGFuZCAwNDE1MDQwOCBMYWtlIENoYW1wbGFpbi4gDQoJDQoJCVRoZSBuZXcgTGFrZSBDaGFtcGxh aW4gdW5pdCAwNDE1MDQwOCBpcyBtYWRlIHVwIG9mIHBhcnRzIG9mIG9yaWdpbmFsIEhVQzI1MEsg dW5pdHMgMDIwMTAwMDEsIDAyMDEwMDAyLCAwMjAxMDAwMywgMDIwMTAwMDQsIDAyMDEwMDA1LCAw MjAxMDAwNiBhbmQgMDIwMTAwMDcuDQoJDQoJCUFkZGl0aW9uYWwgdXBkYXRlcyBhdCB0aGUgOC1k aWdpdCBvY2N1cnJlZCBhcyBhIHJlc3VsdCBvZiB0aGUgVVMvQ2FuYWRhIGhhcm1vbml6YXRpb24g ZWZmb3J0LiBTZWUgcHJvY2VzcyBzZWN0aW9uIG9uIENhbmFkaWFuIGhhcm1vbml6YXRpb24gZm9y IHRoZXNlIGRldGFpbHMNCg0KCVdpc2NvbnNpbjoNCgkJTGVnYWN5IDA3MDkwMDAxVXBwZXIgUm9j ayBrZWVwcyB0aGUgc2FtZSBjb2RlIGFuZCBuYW1lIGJ1dCB0aGUgb3JpZ2luYWwgaHlkcm9sb2dp YyB1bml0IGRlbGluZWF0aW9uIGNoYW5nZWQgc2lnbmlmaWNhbnRseS4NCgkJTGVnYWN5IDA3MDkw MDAyIENyYXdmaXNoIGtlZXBzIHRoZSBzYW1lIGNvZGUgYW5kIGlzIHJlbmFtZWQgdG8gTWlkZGxl IFJvY2suIFRoZSBvcmlnaW5hbCBoeWRyb2xvZ2ljIHVuaXQgZGVsaW5lYXRpb24gY2hhbmdlZCBz aWduaWZpY2FudGx5LjwvcHJvY2Rlc2M+DQogICAgICAgIDxwcm9jZGF0ZT4yMDE2PC9wcm9jZGF0 ZT4NCiAgICAgIDwvcHJvY3N0ZXA+DQogICAgICA8cHJvY3N0ZXA+DQogICAgICAgIDxwcm9jZGVz Yz5CZWxvdyBpcyBhIGxpc3Qgb2YgdXBkYXRlcyAoZnJvbSAyMDExIHRvIDIwMTYpIHJlc3VsdGlu ZyBmcm9tIGhhcm1vbml6YXRpb24gd29yayB3aXRoIENhbmFkYS4NCglBbGFza2E6DQoJCUxlZ2Fj eSAxOTAxMDEwMSBTb3V0aGVhc3QgTWFpbmxhbmQgbmFtZSBhbmQgY29kZSB3ZXJlIHJldGlyZWQg YW5kIHRoZSBhcmVhIHN1YmRpdmlkZWQgaW50byBmb3VyIHVuaXRzLiBOZXcgY29kZXMgYW5kIG5h bWVzIGFyZSBhcyBmb2xsb3dzIGFuZCBhY2NlcHRlZCBieSB0aGUgTmF0aW9uYWwgVGVjaG5pY2Fs IFRlYW0gYW5kIGFwcHJvdmVkIHdpdGggQ2FuYWRpYW4gYW5kIEFsYXNrYSBwYXJ0bmVycyAoVVNG Uyk6DQoJCQkxOTAxMDEwNCBCcmFkZmllbGQgQ2FuYWwNCgkJCTE5MDEwMTA1IEJ1cnJvdWdocyBC YXkNCgkJCTE5MDEwMTA2IEhlYWR3YXRlcnMgUG9ydGxhbmQgQ2FuYWwNCgkJCTE5MDEwMTA3IE91 dGxldCBQb3J0bGFuZCBDYW5hbA0KCQlMZWdhY3kgMTkwMTAyMDEgTWFpbmxhbmQgaGFkIGEgcG9y dGlvbiBicm9rZW4gb3V0LiAxOTAxMDIwMSB3aWxsIGJlIHByZXNlcnZlZCBhbmQgdGhlIHNtYWxs IHBpZWNlIGJyb2VrbiBvdXQgaW4gb3JkZXIgdG8gaGFybW9uaXplIHdpdGggQ2FuYWRhLiBUaGUg c21hbGxlciBwaWVjZSB3aWxsIGhhdmUgdGhlIG5ldyBjb2RlIDE5MDEwMjA1IGFuZCB0aGUgbmFt ZSB3aWxsIGJlIExvd2VyIElza3V0Lg0KCQlSZXZpc2VkIGFnYWluIDUvMzEvMTE6IDE5MDEwMjAx IE1haW5sYW5kIHdhcyBicm9rZW4gaW50byB0aHJlZSBuZXcgdW5pdHMNCgkJCTE5MDEwMjA2IEhv bGtoYW0gQmF5DQoJCQkxOTAxMDIwNyBTdGlraW5lIFJpdmVyDQoJCQkxOTAxMDIwOCBUaG9tYXMg QmF5DQoJCUxlZ2FjeSAxOTAxMDMwMSBMeW5uIENhbmFsIG5vdyBoYXMgdGhlIFRha3UgUml2ZXIg YnJva2VuIG91dCB0byBhY2NvbW1vZGF0ZSBDYW5hZGEuIFRha3UgUml2ZXIgd2lsbCBiZSBjb2Rl IDE5MDEwMzA0LiBUaGUgTmF0aW9uYWwgVGVjaG5pY2FsIENvb3JkaW5hdG9ycyAoTlRDKSBhY2Nl cHRzIHRoaXMuIFJldmlzZWQgYWdhaW4gNS8zMS8xMTooQUsgZ3JvdXAgY29uc3VsdGVkIGFsb25n IHdpdGggUGV0ZSBTdGVldmVzLCBLaW0gSm9uZXMsIFN0ZXBoZW4gRGF3LCBLYXJlbiBIYW5zb24p OiANCgkJMTkwNzAxMDEgQXRsaW4gTGFrZSB3YXMgYnJva2VuIG91dCBvZiB0aGUgbGVnYWN5IEx5 bm4gQ2FuYWwgMTkwMTAzMDEgYW5kIGlzIHBhcnQgb2YgdGhlIG5ld2x5IGFjY2VwdGVkIFN1YnJl Z2lvbiAxOTA3DQoJCUxlZ2FjeSAxOTAxMDMwMiBHbGFjaWVyIEJheSB3YXMgc3ViZGl2aWRlZCBh bG9uZyB0aGUgcmlkZ2Ugc2VwYXJhdGluZyBvdXQgdGhlIG9jZWFuIGZsb3cuIFRoZSB1bml0IGJy b2tlbiBvdXQgaXM6DQoJCTE5MDEwNDA2IFBhbG1hIEJheSAodGhpcyB1bml0IGFsc28gaW5jbHVk ZXMgYSBwb3J0aW9uIG9mIHRoZSBvcmlnaW5hbCAxOTAxMDQwMSkNCgkJTm90ZTogTGVnYWN5IDE5 MDEwMzAyIEdsYWNpZXIgQmF5IHdpbGwgYmUgcmV0YWluZWQgYWx0aG91Z2ggdGhlIGFyZWEgaXMg bm93IHNtYWxsZXIuIE90aGVyIG9wdGlvbnMgZGlkbuKAmXQgbWFrZSBhcyBtdWNoIHNlbnNlLg0K CQkNCgkJTGVnYWN5IDE5MDEwMzAzIENoaWxrYXQtU2thZ3dheSBSaXZlcnMgd2FzIHN1YmRpdmlk ZWQgaW50bzoNCgkJCTE5MDcwMTAyIEJlbm5ldHQgTGFrZQ0KCQkJMTkwNzAxMDMgVGFnaXNoIExh a2UNCgkJCTE5MDcwMTA0IFRha2hpbmkgUml2ZXINCgkJTm90ZTogMTkwMTAzMDMgQ2hpbGthdC1T YWtnd2F5IFJpdmVycyBpcyByZXRhaW5lZA0KCQkNCgkJTGVnYWN5IDE5MDEwNDAxIFlha3V0YXQg QmF5IG5hbWUgYW5kIGNvZGUgcmV0aXJlZCBhbmQgdGhlIGFyZWEgc3ViZGl2aWRlZCBpbnRvIDQg bmV3IHVuaXRzLiBOZXcgY29kZXMgYW5kIG5hbWVzIGFyZSBhcyBmb2xsb3dzDQoJCQkxOTAxMDQw MyBUYXRzaGVuc2hpbmkgUml2ZXINCgkJCTE5MDEwNDA0IEFsc2VrIFJpdmVyDQoJCQkxOTAxMDQw NSBZYWt1dGF0IEJheS1HdWxmIG9mIEFsYXNrYQ0KCQkJMTkwMTA0MDYgUGFsbWEgQmF5IChUaGlz IG5ldyB1bml0IGFsc28gaW5jbHVkZXMgYSBwb3J0aW9uIG9mIHRoZSBvcmlnaW5hbCAxOTAxMDMw MikNCgkJCQkNCglJZGFobyBhbmQgV2FzaGluZ3RvbiAtIA0KCQkyMDEzIC0gVGhlIENvbHVtYmlh IFJpdmVyIEJhc2luIGFuZCBQdWdldCBTb3VuZCBDb2FzdGFsIGFyZWEgd2FzIHVwZGF0ZWQgdG8g aW5jbHVkZSB0aGUgaGFybW9uaXplZCA4LSwgMTAsIGFuZCAxMi1kaWdpdCBoeWRyb2xvZ2ljIHVu aXRzIHdpdGhpbiBDYW5hZGEuIFRoaXMgaGFybW9uaXplZCBkYXRhIHdhcyBjcmVhdGVkIHdpdGgg Y29udHJpYnV0aW9ucyBmcm9tIFVTIGFuZCBDYW5hZGlhbiBGZWRlcmFsLCBTdGF0ZSwgUHJvdmlu Y2lhbCBhbmQgbG9jYWwgcGFydG5lcnMuIFRoZSBCcml0aXNoIENvbHVtYmlhIDIwSyBGcmVzaCBX YXRlciBBdGxhcyB3YXRlcnNoZWQgZGF0YSBhbmQgREVNIGRhdGEgd2VyZSB1c2VkIHRvIGNyZWF0 ZSB0aGUgdW5pdHMgd2l0aGluIENhbmFkYS4gQm9yZGVyIHVuaXRzIHdlcmUgdXBkYXRlZCB0aHJv dWdoIGEgcmV2aWV3L2FncmVlbWVudCBwcm9jZXNzIHdpdGggbG9jYWwgYW5kIHN0YXRlL3Byb3Zp bmNpYWwgcGFydG5lcnMgdXNpbmcgdGhlIGJlc3QgYXZhaWxhYmxlIGRhdGEgKERFTSwgRFJHLCBJ bWFnZXJ5LCBGaWVsZCBWZXJpZmljYXRpb24pLiANCgkJRHVyaW5nIHRoZSBoYXJtb25pemF0aW9u IGVmZm9ydCB0aGVyZSB3ZXJlIHNvbWUgOC1kaWdpdCB1cGRhdGVzIHRoYXQgd2VyZSBhZ3JlZWQg dG8uDQoJCQlMZWdhY3kgMTcwMTAxMDEgVXBwZXIgS29vdGVuYWkgbmFtZSB3aWxsIGNoYW5nZSB0 byBNaWRkbGUgS29vdGVuYWkgdG8gY29vcmRpbmF0ZSB3aXRoIENhbmFkYSBzaW5jZSB0aGVyZSBp cyBhbiBVcHBlciBLb290ZW5heSBzb2xlbHkgaW4gQ2FuYWRhLiANCgkJCUxlZ2FjeSAxNzAxMDEw MSBVcHBlciBLb290ZW5haSBib3VuZGFyeSBjaGFuZ2VkIHNsaWdodGx5LiBUaGUgV0JEIFRlY2hu aWNhbCBUZWFtIHJlY29tbWVuZHMgcmV0YWluaW5nIHRoZSBsZWdhY3kgbmFtZSBhbmQgY29kZS4N CgkJQSBuZXcgc3ViYmFzaW4gd2FzIGNyZWF0ZWQgYXMgYSByZXN1bHQgb2YgdGhlIGludGVybmF0 aW9uYWwgYm9yZGVyIGhhcm1vbml6YXRpb24gd2hpY2ggc2xpZ2h0bHkgZ29lcyBpbnRvIHRoZSBV LlMuICh0aGUgcG9ydGlvbiBvZiAxNzAxMDEwMSByZWZlcmVuY2VkIGFib3ZlKS4gVGhlIFdCRCBU ZWNobmljYWwgVGVhbSByZWNvbW1lbmRzIGNvZGluZyB0aGlzIHVuaXQgd2l0aCB0aGUgbmV4dCBk b3duIHNlcXVlbnRpYWwgY29kZSB3aGljaCB3b3VsZCBiZSAxNzAxMDEwNiBhbmQgdXNpbmcgdGhl IG5hbWUgdGhhdCBDYW5hZGEgcmVmZXJzIHRvIHRoaXMgaHlkcm9sb2dpYyB1bml0IGFzIOKAnEVs a+KAnS4NCgkJMTcxMTAwMDEgbGVnYWN5IG5hbWUg4oCcRnJhc2Vy4oCdIGlzIGJlaW5nIGNoYW5n ZWQgdG8g4oCcU3VtYXMgUml2ZXLigJ0gdG8gbWF0Y2ggd2l0aCBDYW5hZGEsIGFuZCBiZWNhdXNl IHRoZSBGcmFzZXIgUml2ZXIgZG9lc27igJl0IGZsb3cgdGhyb3VnaCB0aGlzIHVuaXQuDQoNCglN b250YW5hOg0KCQkxMDAxIGZsb3dzIGludG8gQ2FuYWRhIGFuZCB0aGUgU2Fza2F0Y2hld2FuIFJp dmVyIGFuZCBub3QgaW50byB0aGUgTWlzc291cmkgUml2ZXIgYXMgb3JpZ2luYWxseSB0aG91Z2h0 LiBBcyBzdWNoIHRoaXMgNC1kaWdpdCBoeWRyb2xvZ2ljIHVuaXRzIHdhcyBtb3ZlZCBmcm9tIHJl Z2lvbiAxMCB0byAwOS4NCgkJMDkwNCAtIFNhc2thdGNoZXdhbiBSaXZlcg0KCQkwOTA0MDAtIFVw cGVyIFNvdXRoIFNhc2thdGNoZXdhbiBSaXZlciAoVGhpcyBtYXRjaGVzIHRoZSBDYW5hZGlhbiBG REEgYXQgdGhlIFdTQ1NEQSBsZXZlbCAoc3ViIGRyYWluYWdlIGFyZWEpKS4NCgkJMTAwMTAwMDEg bmFtZSBhbmQgY29kZSBoYXZlIGJlZW4gcmV0aXJlZCwgYW5kIHRoaXMgYXJlYSBpcyBub3cgMDkw NDAwMDIgQmVsbHkNCgkJMTAwMTAwMDIgbmFtZSBhbmQgY29kZSBoYXZlIGJlZW4gcmV0aXJlZCwg YW5kIHRoaXMgYXJlYSBpcyBub3cgMDkwNDAwMDEgU3QuIE1hcnlzDQoNCglNaW5uZXNvdGE6DQoJ CTIwMTQgLSBSYWlueSBSaXZlciBCYXNpbiB3YXMgdXBkYXRlZCB0byBpbmNsdWRlIHRoZSBoYXJt b25pemVkIDgtLCAxMC0gYW5kIDEyLWRpZ2l0IGh5ZHJvbG9naWMgdW5pdHMgd2l0aCBDYW5hZGEu IFRoaXMgaGFybW9uaXplZCBkYXRhIHdhcyBjcmVhdGVkIG92ZXIgYSA2IG1vbnRoIHRpbWUgcGVy aW9kIHdpdGggY29vcGVyYXRpb24gZnJvbSBGZWRlcmFsLCBTdGF0ZSwgUHJvdmluY2lhbCBhbmQg TG9jYWwgUGFydG5lcnMuIA0KCQlTb21lIG9mIHRoZSBib3VuZGFyaWVzIHdpdGhpbiBNTiB3ZXJl IHVwZGF0ZWQgdXNpbmcgdGhlIE1OIExpREFSIGRhdGEuIFRoZSBNTiBMaURBUiB3YXMgYWxzbyB1 c2VkIGluIHRoZSBjcmVhdGlvbiBvZiBib3VuZGFyaWVzIHdpdGhpbiBDYW5hZGEgd2hlbiB0aGUg TGlEQVIgZGF0YSBvdmVybGFwcGVkIGludG8gQ2FuYWRhLiBUaGUgb3RoZXIgYm91bmRhcmllcyB3 aXRoaW4gQ2FuYWRhIHdlcmUgZ2VuZXJhdGVkIHVzaW5nIHRoZSBwcm92aW5jZSBvZiBPbnRhcmlv 4oCZcyAyMEsgREVNIGFuZCBIeWRyb2dyYXBoeSBkYXRhLg0KCQlUaGVyZSB3ZXJlIHNvbWUgOC1k aWdpdCB1cGRhdGVzIGFzIGEgcmVzdWx0IG9mIHRoZSBoYXJtb25pemF0aW9uIGVmZm9ydC4NCgkJ MDkwMzAwMDQgVXBwZXIgUmFpbnkgaGFzIGJlZW4gcmV0aXJlZA0KCQkwOTAzMDAwNCBpcyBub3cg YSBwYXJ0IG9mIDA5MDMwMDA4IHRoZSBMb3dlciBSYWlueQ0KCQkyIG5ldyA4LWRpZ2l0IHVuaXRz IHdlcmUgYnJva2VuIG91dCBpbiBDYW5hZGENCgkJCTA5MDMwMDEwIOKAkyBCaWcgVHVydGxlIFJp dmVyLVJhaW55IExha2UNCgkJCTA5MDMwMDExIOKAkyBTaG9hbCBMYWtlDQoJCQkNCglOb3J0aCBE YWtvdGE6DQoJCUxlZ2FjeSAwOTAyMDMxMyBQZW1iaW5hIHdhcyBzdWJkaXZpZGVkIGludG8gdHdv IG5ldyB1bml0cy4gDQoJCVRoZSBsZWdhY3kgbmFtZSBhbmQgY29kZSB3ZXJlIHJldGlyZWQuIA0K CQlUaGUgbmV3IGNvZGVzIGFuZCBuYW1lcyBhcmU6DQoJCQkwOTAyMDMxNSBVcHBlciBQZW1iaW5h IFJpdmVyDQoJCQkwOTAyMDMxNiBMb3dlciBQZW1iaW5hIFJpdmVyDQoNCgkJMjAxNC0gU291cmlz IFJpdmVyIEJhc2luIHdhcyB1cGRhdGVkIHRvIGluY2x1ZGUgdGhlIGhhcm1vbml6ZWQgOC0sIDEw LSBhbmQgMTItZGlnaXQgaHlkcm9sb2dpYyB1bml0cyB3aXRoIENhbmFkYS4gVGhpcyBoYXJtb25p emVkIGRhdGEgd2FzIGNyZWF0ZWQgb3ZlciBhIDYgbW9udGggdGltZSBwZXJpb2Qgd2l0aCBjb29w ZXJhdGlvbiBmcm9tIEZlZGVyYWwsIFN0YXRlLCBQcm92aW5jaWFsIGFuZCBMb2NhbCBQYXJ0bmVy cy4NCgkJVGhlcmUgd2VyZSBzb21lIDgtZGlnaXQgdXBkYXRlcyBhcyBhIHJlc3VsdCBvZiB0aGUg aGFybW9uaXphdGlvbiBlZmZvcnQuDQoJCUxlZ2FjeSAwOTAxMDAwMSBVcHBlciBTb3VyaXMgaGFz IG5vdyBiZWVuIHN1YmRpdmlkZWQuIFRoYXQgY29kZSBhbmQgbmFtZSBoYXZlIGJlZW4gcmV0aXJl ZCBhbmQgdGhlIG5ldyB1bml0cyBhcmU6DQoJCQkwOTAxMDAwNiBMb25nIENyZWVrDQoJCQkwOTAx MDAwNyBIZWFkd2F0ZXJzIFNvdXJpcyBSaXZlcg0KCQkJMDkwMTAwMDggTW9vc2UgTW91bnRhaW4g Q3JlZWstU291cmlzIFJpdmVyDQoNCglOb3J0aCBEYWtvdGEgYW5kIE1pbm5lc290dGE6IFJlZCBS aXZlciBCYXNpbg0KCQlMZWdhY3kgMDkwMjAzMTEgTG93ZXIgUmVkIG5hbWUgaXMgYmVpbmcgY2hh bmdlZCB0byBNaWRkbGUgUmVkIGluIG9yZGVyIHRvIGhhcm1vbml6ZSB3aXRoIENhbmFkYS4gTG93 ZXIgUmVkIGlzIHRoZSBCYXNpbiBuYW1lIGZvciB0aGlzIGVudGlyZSBhcmVhIGJ1dCB0aGUgaW1w YWN0IHRvIGNoYW5nZSBhdCB0aGF0IGxldmVsIGlzbuKAmXQga25vd24gc28gd29u4oCZdCBjaGFu Z2UuDQoJCQ0KCQkyMDE2IC0gUmVkIFJpdmVyIEJhc2luIHdhcyB1cGRhdGVkIHRvIGluY2x1ZGUg dGhlIGhhcm1vbml6ZWQgOC0sIDEwLSwgYW5kIDEyLWRpZ2l0IGh5ZHJvbG9naWMgdW5pdHMgd2l0 aGluIENhbmFkYS4gU29tZSBvZiB0aGUgYm91bmRhcmllcyB3aXRoaW4gTU4gYW5kIE5EIHdlcmUg dXBkYXRlZCB1c2luZyBMaWRhciBkYXRhLiBMaWRhciBkYXRhIHdhcyBhbHNvIHVzZWQgaW4gdGhl IGRldmVsb3BtZW50IG9mIGh5ZHJvbG9naWNhbCB1bml0cyB3aXRoaW4gQ2FuYWRhLiBXaGVyZSBM aWRhciBkYXRhIGRpZCBub3QgZXhpc3QgdGhlIHByb3ZpbmNlIG9mIE1hbml0b2JhIHByb3ZpZGVk IGVpdGhlciAxOjIwLDAwMCBzY2FsZSBvciAxOjUwLDAwMCBzY2FsZSBkaWdpdGFsIGVsZXZhdGlv biBkYXRhIGZvciBib3VuZGFyeSBkZWxpbmVhdGlvbnMuDQoNCglNYWluZQ0KCQlBbGwgSFVDOCBi b3VuZGFyaWVzIHdlcmUgdXBkYXRlZCB3aXRoIHRoZSBIYXJtb25pemVkIFVTL0NBTiBib3JkZXIg aW50byBDYW5hZGEuDQoJCUNvZGluZyB3YXMgdXBkYXRlZCBhcyBuZWVkZWQuDQoJCTAxMDEwMDAx IHdhcyBzdWJkaXZpZGVkIGludG8gNiBuZXcgdW5pdHMuDQoJCTAxMDEwMDAxIGNvZGUgcmV0aXJl ZA0KCQkwMTAxMDAwMSBIVUM4IG5hbWUgcmV0aXJlZCAoVXBwZXIgU3QuIEpvaG4pDQoJCU5ldyBj b2RlcyBhbmQgSFVDOCBuYW1lcw0KCQkJMDEwMTAwMDYg4oCTIEhlYWR3YXRlcnMgU2FpbnQgSm9o biBSaXZlcg0KCQkJMDEwMTAwMDcg4oCTIEJpZyBCbGFjayBSaXZlci1TYWludCBKb2huIFJpdmVy DQoJCQkwMTAxMDAwOCDigJMgU3QuIEZyYW5jaXMgUml2ZXItU2FpbnQgSm9obiBSaXZlcg0KCQkJ MDEwMTAwMDkg4oCTIExpdHRsZSBSaXZlci1TYWludCBKb2huIFJpdmVyDQoJCQkwMTAxMDAxMCDi gJMgQmVjYWd1aW1lYyBTdHJlYW0tU2FpbnQgSm9obiBSaXZlciAoVGhpcyB1bml0IG5vdyBjb250 YWlucyBhIHBvcnRpb24gb2YgdGhlIG9yaWdpbmFsIDAxMDEwMDA1KQ0KCQkJMDEwMTAwMTEg4oCT IEtlc3dpY2sgUml2ZXItU2FpbnQgSm9obiBSaXZlcg0KDQoJCTAxMDEwMDA0IC0gQm91bmRhcnkg d2l0aGluIENhbmFkYSB3YXMgdXBkYXRlZCB3aXRoIGhhcm1vbml6ZWQgYm91bmRhcnkuDQoJCTAx MDEwMDA1IC0gQm91bmRhcnkgd2FzIHVwZGF0ZWQgd2l0aCBVUy9DQU4gaGFybW9uaXplZCBib3Vu ZGFyeS4gQSBzbWFsbCBwb3J0aW9uIG9mIDAxMDEwMDA1IHdhcyBtb3ZlZCBpbnRvIHRoZSBuZXcg MDEwMTAwMTAgc28gdGhhdCAwMTAxMDAwNSBpcyBhIHN0YW5kYXJkIEhVQyA4IHVuaXQgZm9yIHRo ZSBNZWR1eG5la2VhZyBSaXZlci4NCgkJMDEwMjAwMDEgLSBPcmlnaW5hbCBXQkQgYm91bmRhcnkg YmV0d2VlbiB0aGUgVVMgYW5kIENhbmFkYSB1c2VkIHRoZSBpbnRlcm5hdGlvbmFsIGJvdW5kYXJ5 LiBIb3dldmVyIHdoZW4gdGhpcyBib3VuZGFyeSB3YXMgY29tcGFyZWQgdG8gdGhlIDE6MjQsMDAw IHNjYWxlIERSR3MgaW4gdGhlIFVTIGFuZCAxOjIwLDAwMCBoeXBzb2dyYXBoeSBpbiBDYW5hZGEg dGhlIGludGVybmF0aW9uYWwgYm91bmRhcnkgYW5kIHJpZGdlbGluZXMgd2VyZSBub3QgY29pbmNp ZGVudC4gVGhlIEJvdW5kYXJ5IHdhcyB1cGRhdGVkIHRvIHRoZSByaWRnZWxpbmUuICAgQ29kaW5n IG5vdCB1cGRhdGVkLg0KCQkwMTAzMDAwMSAtIE9yaWdpbmFsIFdCRCBib3VuZGFyeSBiZXR3ZWVu IHRoZSBVUyBhbmQgQ2FuYWRhIHVzZWQgdGhlIGludGVybmF0aW9uYWwgYm91bmRhcnkuIEhvd2V2 ZXIgd2hlbiB0aGlzIGJvdW5kYXJ5IHdhcyBjb21wYXJlZCB0byB0aGUgMToyNCwwMDAgc2NhbGUg RFJHcyBpbiB0aGUgVVMgYW5kIDE6MjAsMDAwIGh5cHNvZ3JhcGh5IGluIENhbmFkYSB0aGUgaW50 ZXJuYXRpb25hbCBib3VuZGFyeSBhbmQgcmlkZ2VsaW5lcyB3ZXJlIG5vdCBjb2luY2lkZW50LiBU aGUgQm91bmRhcnkgd2FzIHVwZGF0ZWQgdG8gdGhlIHJpZGdlbGluZS4gIENvZGluZyBub3QgdXBk YXRlZC4NCgkJMDEwMzAwMDIgLSBPcmlnaW5hbCBXQkQgYm91bmRhcnkgYmV0d2VlbiB0aGUgVVMg YW5kIENhbmFkYSB1c2VkIHRoZSBpbnRlcm5hdGlvbmFsIGJvdW5kYXJ5LiBIb3dldmVyIHdoZW4g dGhpcyBib3VuZGFyeSB3YXMgY29tcGFyZWQgdG8gdGhlIDE6MjQsMDAwIHNjYWxlIERSR3MgaW4g dGhlIFVTIGFuZCAxOjIwLDAwMCBoeXBzb2dyYXBoeSBpbiBDYW5hZGEgdGhlIGludGVybmF0aW9u YWwgYm91bmRhcnkgYW5kIHJpZGdlbGluZXMgd2VyZSBub3QgY29pbmNpZGVudC4gVGhlIEJvdW5k YXJ5IHdhcyB1cGRhdGVkIHRvIHRoZSByaWRnZWxpbmUuICBDb2Rpbmcgbm90IHVwZGF0ZWQuDQoJ CTAxMDQwMDAxIC0gT3JpZ2luYWwgV0JEIGJvdW5kYXJ5IGJldHdlZW4gdGhlIFVTIGFuZCBDYW5h ZGEgdXNlZCB0aGUgaW50ZXJuYXRpb25hbCBib3VuZGFyeS4gSG93ZXZlciB3aGVuIHRoaXMgYm91 bmRhcnkgd2FzIGNvbXBhcmVkIHRvIHRoZSAxOjI0LDAwMCBzY2FsZSBEUkdzIGluIHRoZSBVUyBh bmQgMToyMCwwMDAgaHlwc29ncmFwaHkgaW4gQ2FuYWRhIHRoZSBpbnRlcm5hdGlvbmFsIGJvdW5k YXJ5IGFuZCByaWRnZWxpbmVzIHdlcmUgbm90IGNvaW5jaWRlbnQuIFRoZSBCb3VuZGFyeSB3YXMg dXBkYXRlZCB0byB0aGUgcmlkZ2VsaW5lLiAgQ29kaW5nIG5vdCB1cGRhdGVkLg0KCQkwMTA1MDAw MSAtIEJvdW5kYXJ5IHdhcyB1cGRhdGVkIHdpdGggVVMvQ0FOIGhhcm1vbml6ZWQgYm91bmRhcnku ICBUaGlzIGJvdW5kYXJ5IHdhcyBkZXZlbG9wZWQgZHVyaW5nIHRoZSBpbml0aWFsIFN0LiBDcm9p eCBwaWxvdCBhbmQgaW5jbHVkZXMgdXBkYXRlcyB3aXRoaW4gdGhlIFVTIGFzIHdlbGwgYXMgQ2Fu YWRhLiBDb2RpbmcgbGVmdCBhcyBpcw0KCQkwMTA1MDAwMiAtIFRoZSBoYXJtb25pemVkIGJvdW5k YXJ5IGZvciAwMTA1MDAwNCByZXF1aXJlZCB1cGRhdGVzIHRvIDAxMDUwMDAyLiANCgkJQSBwb3J0 aW9uIG9mIDAxMDUwMDAyIHdhcyBtb3ZlZCB0byAwMTA1MDAwNCB0byBhY2NvbW1vZGF0ZSB0aGUg bmV3IGhhcm1vbml6ZWQgYm91bmRhcnkuDQoJCVRoaXMgcmVxdWlyZWQgcmUtY29kaW5nIG9mIHRo ZSBlbnRpcmUgMDEwNTAwMDIuDQoJCTAxMDUwMDA0IC0gQm91bmRhcnkgd2FzIHVwZGF0ZWQgd2l0 aCBVUy9DQU4gaGFybW9uaXplZCBib3VuZGFyeS4gQSBwb3J0aW9uIG9mIDAxMDUwMDAyIHdhcyBt b3ZlZCBpbnRvIHRoaXMgdW5pdC4gIENvZGVzIHdlcmUgdXBkYXRlZCB0byByZWZsZWN0IHRoaXMg Ym91bmRhcnkgY2hhbmdlLg0KDQoJCTA0MTUwNjAwIOKAkyBDaGF1ZGllcmUgUml2ZXINCgkJVGhp cyBpcyBhIG5ldyB1bml0IHRoYXQgd2FzIGNyZWF0ZWQgd2hlbiB0aGUgV0JEIGJvdW5kYXJ5IHdh cyBtb3ZlZCBmcm9tIHRoZSBpbnRlcm5hdGlvbmFsIGJvdW5kYXJ5IG9uIHRvIHRoZSByaWRnZWxp bmVzDQoJCU9yaWdpbmFsIFdCRCBib3VuZGFyeSBiZXR3ZWVuIHRoZSBVUyBhbmQgQ2FuYWRhIHVz ZWQgdGhlIGludGVybmF0aW9uYWwgYm91bmRhcnkuIEhvd2V2ZXIgd2hlbiB0aGlzIGJvdW5kYXJ5 IHdhcyBjb21wYXJlZCB0byB0aGUgMToyNCwwMDAgc2NhbGUgRFJHcyBpbiB0aGUgVVMgYW5kIDE6 MjAsMDAwIGh5cHNvZ3JhcGh5IGluIENhbmFkYSB0aGUgaW50ZXJuYXRpb25hbCBib3VuZGFyeSBh bmQgcmlkZ2VsaW5lcyB3ZXJlIG5vdCBjb2luY2lkZW50LiBUaGUgQm91bmRhcnkgd2FzIHVwZGF0 ZWQgdG8gdGhlIHJpZGdlbGluZS4NCgkJMDQxNTA1MDAgLSBCb3VuZGFyeSB3YXMgdXBkYXRlZCB3 aXRoIFVTL0NBTiBoYXJtb25pemVkIGJvdW5kYXJ5LiBDb2RpbmcgbGVmdCBhcyBpcw0KCQ0KCQ0K CU5ldyBIYW1wc2hpcmUNCgkJMDEwNDAwMDEgLSBPcmlnaW5hbCBXQkQgYm91bmRhcnkgYmV0d2Vl biB0aGUgVVMgYW5kIENhbmFkYSB1c2VkIHRoZSBpbnRlcm5hdGlvbmFsIGJvdW5kYXJ5LiBIb3dl dmVyIHdoZW4gdGhpcyBib3VuZGFyeSB3YXMgY29tcGFyZWQgdG8gdGhlIDE6MjQsMDAwIHNjYWxl IERSR3MgaW4gdGhlIFVTIGFuZCAxOjIwLDAwMCBoeXBzb2dyYXBoeSBpbiBDYW5hZGEgdGhlIGlu dGVybmF0aW9uYWwgYm91bmRhcnkgYW5kIHJpZGdlbGluZXMgd2VyZSBub3QgY29pbmNpZGVudC4g VGhlIEJvdW5kYXJ5IHdhcyB1cGRhdGVkIHRvIHRoZSByaWRnZWxpbmUuICBDb2Rpbmcgbm90IHVw ZGF0ZWQuDQoJCTA0MTUwNTAwIC0gQm91bmRhcnkgd2FzIHVwZGF0ZWQgd2l0aCBVUy9DQU4gaGFy bW9uaXplZCBib3VuZGFyeS4gQ29kaW5nIGxlZnQgYXMgaXMNCgkNCglOZXcgWW9yaw0KCQkwNDE1 MDMwMSAtIFN1YmRpdmlkZWQgaW50byAyIG5ldyB1bml0cw0KCQkwNDE1MDMwMSBjb2RlIHJldGly ZWQgDQoJCTA0MTUwMzAxIEhVQzggbmFtZSByZXRpcmVkIChVcHBlciBTdC4gTGF3cmVuY2UpDQoJ CU5ldyBDb2RlcyBhbmQgSFVDOCBuYW1lcw0KCQkJMDQxNTAzMDkg4oCTIEhlYWR3YXRlcnMgU3Qu IExhd3JlbmNlIFJpdmVyDQoJCQkwNDE1MDMxMCDigJMgUmFpc2luIFJpdmVyLVN0LiBMYXdyZW5j ZSBSaXZlcg0KDQoJCTA0MTUwMzA2IC0gQm91bmRhcnkgd2FzIHVwZGF0ZWQgd2l0aCBVUy9DQU4g aGFybW9uaXplZCBib3VuZGFyeS4gQ29kaW5nIGxlZnQgYXMgaXMNCgkJMDQxNTAzMDcgLSBCb3Vu ZGFyeSB3YXMgdXBkYXRlZCB3aXRoIFVTL0NBTiBoYXJtb25pemVkIGJvdW5kYXJ5LiBDb2Rpbmcg bGVmdCBhcyBpcw0KCQkwNDE1MDMwOCAtIEJvdW5kYXJ5IHdhcyB1cGRhdGVkIHdpdGggVVMvQ0FO IGhhcm1vbml6ZWQgYm91bmRhcnkuIENvZGluZyBsZWZ0IGFzIGlzDQoJCTA0MTUwNDA4IC0gQm91 bmRhcnkgd2FzIHVwZGF0ZWQgd2l0aCBVUy9DQU4gaGFybW9uaXplZCBib3VuZGFyeS4gQ29kaW5n IGxlZnQgYXMgaXMNCgkJMDQxNTA0MDkgLSBCb3VuZGFyeSB3YXMgdXBkYXRlZCB3aXRoIFVTL0NB TiBoYXJtb25pemVkIGJvdW5kYXJ5LiBDb2RpbmcgbGVmdCBhcyBpcw0KCQkNCglWZXJtb250DQoJ CTA0MTUwNDA3IC0gQm91bmRhcnkgd2FzIHVwZGF0ZWQgd2l0aCBVUy9DQU4gaGFybW9uaXplZCBi b3VuZGFyeS4gQ29kaW5nIGxlZnQgYXMgaXMNCgkJMDQxNTA0MDggLSBCb3VuZGFyeSB3YXMgdXBk YXRlZCB3aXRoIFVTL0NBTiBoYXJtb25pemVkIGJvdW5kYXJ5LiBDb2RpbmcgbGVmdCBhcyBpcw0K CQkwNDE1MDQwOSAtIEJvdW5kYXJ5IHdhcyB1cGRhdGVkIHdpdGggVVMvQ0FOIGhhcm1vbml6ZWQg Ym91bmRhcnkuIENvZGluZyBsZWZ0IGFzIGlzDQoJCTA0MTUwNTAwIC0gQm91bmRhcnkgd2FzIHVw ZGF0ZWQgd2l0aCBVUy9DQU4gaGFybW9uaXplZCBib3VuZGFyeS4gQ29kaW5nIGxlZnQgYXMgaXMN Cg0KDQoJR3JlYXQgTGFrZXMNCgkJVGhlIGJvdW5kYXJpZXMgZm9yIExha2UgT250YXJpbyAoMDQx NTIwMCksIExha2UgRXJpZSAoMDQxMjAyMDApLCBMYWtlIEh1cm9uICgwNDA4MDMwMCkgYW5kIExh a2UgU3VwZXJpb3IgKDA0MDIwMzAwKSB3ZXJlIHVwZGF0ZWQgdXNpbmcgdGhlIG5ldyBpbmxhbmQg bGFrZXMgY29hc3RhbCBtZXRob2QuIEFsbCB1cGRhdGVzIHdlcmUgY29vcmRpbmF0ZWQgd2l0aCB0 aGUgV0JEIHN0YXRlIHN0ZXdhcmQgZm9yIGVhY2ggYWRqYWNlbnQgc3RhdGUuIFRoZSBhcmVhIHdp dGhpbiBXaXNjb25zaW4gd2FzIGV4Y2x1ZGVkIHBlciB0aGUgc3RhdGUgcGFydG5lcuKAmXMgcmVx dWVzdC4gQWxsIHN1cnJvdW5kaW5nIDgtZGlnaXRzICh1bml0cyB0b3VjaGluZyB0aGUgbGFrZXMp IHdlcmUgcmV2aWV3ZWQgYW5kIHVwZGF0ZWQgYXMgd2VsbC4gPC9wcm9jZGVzYz4NCiAgICAgICAg PHByb2NkYXRlPjIwMTY8L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9j c3RlcD4NCiAgICAgICAgPHByb2NkZXNjPk1leGljbyBIYXJtb25pemF0aW9uICgyMDEwLTIwMTQp DQoJDQoJMjAxMCAtIEhhcm1vbml6YXRpb24gd2l0aCBUZXhhcyBhbmQgTWV4aWNvOyBIVUMxMiBw b2x5Z29ucyBhbmQgbGluZSByZXdvcmsgYnkgVVNHUyBXYXRlciBTY2llbmNlIENlbnRlciwgU2Fs dCBMYWtlIENpdHksIFVULg0KCQ0KCTIwMTQgLSBIYXJtb25pemVkIDgtLCAxMCBhbmQgMTItZGln aXQgdW5pdHMgZm9yIGFsbCBib3JkZXIgOC1kaWdpdCB1bml0cyB3aXRoIE1leGljbyB3ZXJlIGlu Y29ycG9yYXRlZCBpbnRvIHRoZSBXQkQuIFRoZXNlIGRhdGFzZXRzIHdlcmUgZGV2ZWxvcGVkIHRo cm91Z2ggYSBjb29yZGluYXRlZCBlZmZvcnQgYmV0d2VlbiB0aGUgVVNHUyBhbmQgSU5FR0kgYWxv bmcgd2l0aCBpbnB1dCBmcm9tIFN0YXRlIGFuZCBsb2NhbCBwYXJ0bmVycy4gRHVlIHRvIHRoZSBo YXJtb25pemF0aW9uIGVmZm9ydCBzb21lIDgtZGlnaXQgYm91bmRhcmllcyBtYXkgaGF2ZSBiZWVu IGFkanVzdGVkLiBJbiBhZGRpdGlvbiB0byB0aGlzIHRoZSAxMC0gYW5kIDEyLWRpZ2l0IGJvdW5k YXJpZXMgYWxvbmcgdGhlIGJvcmRlciBtaWdodCBoYXZlIGFsc28gYmVlbiBhZGp1c3RlZCBiYXNl ZCBvbiB0aGUgYXZhaWxhYmlsaXR5IG9mIGJldHRlciBiYXNlIGluZm9ybWF0aW9uIHdpdGhpbiBN ZXhpY28gcHJvdmlkZWQgYnkgSU5FR0kuPC9wcm9jZGVzYz4NCiAgICAgICAgPHByb2NkYXRlPjIw MTQ8L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAg ICAgPHByb2NkZXNjPlRoZSBmb2xsb3dpbmcgc2VjdGlvbiBkZXNjcmliZXMgdXBkYXRlcyB0byB0 aGUgV0JEIGRhdGEgbW9kZWwgKDIwMTItMjAxNikuDQoJCQ0KCUp1bHkgMjAxMiANCglOYXRpb25h bCByZXNwb25zaWJpbGl0eSBmb3Igc3Rld2FyZHNoaXAgYW5kIG1haW50ZW5hbmNlIG9mIHRoZSBX QkQgdHJhbnNmZXJyZWQgZnJvbSBOUkNTIHRvIHRoZSBVU0dTLiBBcyBhIHJlc3VsdCB0aGUgV0JE IGRhdGEgbW9kZWwgd2FzIHVwZGF0ZWQgYW5kIHRoZSBkYXRhIHdhcyBpbmNvcnBvcmF0ZWQgaW50 byB0aGUgTkhEIGRhdGFiYXNlLg0KCVdCRCBtb2RlbCB1cGRhdGVkIGJhc2VkIG9uIGlucHV0IGZy b20gTlJDUywgVVNHUywgTkhEIHByb2dyYW0gYW5kIHVzZXIgY29tbXVuaXR5Lg0KCVdCRCBwb2x5 Z29uIGRhdGFzZXQgc3ViZGl2aWRlZCBpbnRvIGluZGl2aWR1YWwgcG9seWdvbiBkYXRhc2V0cyBm b3IgZWFjaCBsZXZlbCBvZiBoeWRyb2xvZ2ljIHVuaXRzLiAgDQoJVHdvIGFkZGl0aW9uYWwgZGF0 YXNldHMgYWRkZWQgZm9yIHRoZSBuZXh0IDIgbGV2ZWxzIG9mIHN1YmRpdmlzaW9ucyAoMTQtIGFu ZCAxNi1kaWdpdCkgYnV0IGFyZSBub3QgcmVxdWlyZWQgZm9yIGVhY2ggc3RhdGUgdG8gcG9wdWxh dGUgdGhlc2UuDQoJQXR0cmlidXRlIHRhYmxlcyBmb3IgcG9seWdvbnMgYW5kIGxpbmVzIHdlcmUg dXBkYXRlZCB3aXRoIHNvbWUgZmllbGRzIGJlaW5nIGFkZGVkLCByZW5hbWVkIG9yIHJlbW92ZWQu IFNlZSBiZWxvdyBmb3IgYSBsaXN0IG9mIGNoYW5nZXMuDQoNCglXQkQgTGluZSBhdHRyaWJ1dGUg dGFibGUgY2hhbmdlczogDQoJT2xkIE1vZGVsOg0KCQlIVV9MRVZFTCANCgkJTElORVNPVVJDRQ0K CQlNRVRBX0lEIOKAkyByZW1vdmVkIOKAkyBGZWF0dXJlIGxldmVsIG1ldGFkYXRhIGZ1bmN0aW9u YWxpdHkgaXMgYWRkZWQgdG8gdHJhY2sgdXBkYXRlcyBpbiB0aGUgbmV3IG1vZGVsDQoJCUxFRlRf SFVDXzgg4oCTIHJlbW92ZWQNCgkJUklHSFRfSFVDXzgg4oCTIHJlbW92ZWQNCg0KCU5ldyBNb2Rl bDoNCgkJUGVybWFuZW50X0lkZW50aWZpZXIg4oCTIE5ldyBmaWVsZCBmb3IgZmVhdHVyZSBsZXZl bCBtZXRhZGF0YQ0KCQlTb3VyY2VfRmVhdHVyZUlEIOKAkyBOZXcgZmllbGQgZm9yIGZlYXR1cmUg bGV2ZWwgbWV0YWRhdGEgDQoJCU1ldGFfU291cmNlSUQg4oCTIE5ldyBmaWVsZCBmb3IgZmVhdHVy ZSBsZXZlbCBtZXRhZGF0YQ0KCQlTb3VyY2VfRGF0YURlc2Mg4oCTIE5ldyBmaWVsZCBmb3IgZmVh dHVyZSBsZXZlbCBtZXRhZGF0YQ0KCQlTb3VyY2VfT3JpZ2luYXRvciDigJMgTmV3IGZpZWxkIGZv ciBmZWF0dXJlIGxldmVsIG1ldGFkYXRhDQoJCUhVX0xldmVsDQoJCUhVX0NsYXNzIOKAkyBOZXcg ZmllbGQgcG9wdWxhdGVkIHdpdGggdGhlIG51bWJlciBvZiBkaWdpdHMgb2YgdGhlIGh5ZHJvbG9n aWMgdW5pdA0KCQlMb2FkRGF0ZSDigJMgTmV3IGZpZWxkIGZvciBmZWF0dXJlIGxldmVsIG1ldGFk YXRhDQoJCUxpbmVTb3VyY2UNCg0KCVdCRCBQb2x5Z29uIGF0dHJpYnV0ZSB0YWJsZSBjaGFuZ2Vz Og0KCUNvZGVzIGFuZCBuYW1lcyBtb3ZlZCBmcm9tIHNpbmdsZSBwb2x5Z29uIGRhdGFzZXQgdG8g dGhlIGFwcHJvcHJpYXRlIGh5ZHJvbG9naWMgdW5pdCBkYXRhc2V0IGZvciBlYWNoIGxldmVsDQoJ T2xkIE1vZGVsOg0KCQlIVUNfOCDigJMgbW92ZWQgdG8gOC1kaWdpdCBwb2x5Z29uIGRhdGFzZXQN CgkJSFVDXzEwIOKAkyBtb3ZlZCB0byAxMC1kaWdpdCBwb2x5Z29uIGRhdGFzZXQNCgkJSFVDXzEy IOKAkyBtb3ZlZCB0byAxMi1kaWdpdCBwb2x5Z29uIGRhdGFzZXQNCgkJQUNSRVMg4oCTIHJlLW5h bWVkIHRvIEFSRUFfQUNSRVMNCgkJTkNPTlRSQl9BDQoJCUhVXzEwX0dOSVMg4oCTIFJlcGxhY2Vk IHdpdGggR2F6X0lEDQoJCUhVXzEyX0dOSVMg4oCTIFJlcGxhY2VkIHdpdGggR2F6X0lEDQoJCUhV XzEwX0RTIOKAkyBSZW1vdmVkIGZyb20gbmV3IG1vZGVsDQoJCUhVXzEwX05BTUUg4oCTIG1vdmVk IHRvIDEwLWRpZ2l0IHBvbHlnb24gZGF0YXNldA0KCQlIVV8xMF9NT0Qg4oCTIG1vdmVkIHRvIDEw LWRpZ2l0IHBvbHlnb24gZGF0YXNldA0KCQlIVV8xMF9UWVBFIOKAkyBtb3ZlZCB0byAxMC1kaWdp dCBwb2x5Z29uIGRhdGFzZXQNCgkJSFVfMTJfRFMg4oCTIG1vdmVkIHRvIDEyLWRpZ2l0IHBvbHln b24gZGF0YXNldA0KCQlIVV8xMl9OQU1FIOKAkyBtb3ZlZCB0byAxMi1kaWdpdCBwb2x5Z29uIGRh dGFzZXQNCgkJSFVfMTJfTU9EIOKAkyBtb3ZlZCB0byAxMi1kaWdpdCBwb2x5Z29uIGRhdGFzZXQN CgkJSFVfMTJfVFlQRSDigJMgbW92ZWQgdG8gMTItZGlnaXQgcG9seWdvbiBkYXRhc2V0DQoJCU1F VEFfSUQgLSByZW1vdmVkIOKAkyBGZWF0dXJlIGxldmVsIG1ldGFkYXRhIGZ1bmN0aW9uYWxpdHkg aXMgYWRkZWQgdG8gdHJhY2sgdXBkYXRlcyBpbiB0aGUgbmV3IG1vZGVsDQoJCVNUQVRFUw0KDQoJ TmV3IE1vZGVsOg0KCUZpZWxkcyBpbmNsdWRlZCBpbiBhbGwgbGV2ZWxzIG9mIGh5ZHJvbG9naWMg dW5pdCBwb2x5Z29uIGRhdGFzZXRzLg0KCQlHYXpfSUQg4oCTIE9sZCBtb2RlbCB3YXMgdGhlIEdO SVMgZmllbGQNCgkJQXJlYV9BY3JlcyAtIFJlbmFtZWQNCgkJQXJlYV9TcUttIOKAkyBOZXcgZmll bGQNCgkJU3RhdGVzDQoJCUxvYWREYXRlLSBOZXcgZmllbGQNCgkJSFVDXyIjZGlnaXQiIC0gRm9y IEV4YW1wbGU6IEhVQzEyDQoJCUhVXyIjZGlnaXQiX05hbWUgLSBGb3IgRXhhbXBsZTogSFVfMTJf TmFtZQ0KDQoJRmllbGRzIGluY2x1ZGVkIHdpdGggdGhlIDEwLSwgMTItLCAxNC0gYW5kIDE2LSBk aWdpdCBwb2x5Z29uIGRhdGFzZXRzLg0KCQlIVV8iI2RpZ2l0Il9UeXBlIC0gRm9yIEV4YW1wbGUg SFVfMTJfVHlwZQ0KCQlIVV8iI2RpZ2l0Il9Nb2QgLSBGb3IgRXhhbXBsZSBIVV8xMl9Nb2QNCg0K CUZpZWxkcyBpbmNsdWRlZCB3aXRoIHRoZSAxMi0sIDE0LSBhbmQgMTYtIGRpZ2l0IHBvbHlnb24g ZGF0YXNldHMuDQoJCU5Db250cmJfQWNyZXMNCgkJTkNvbnRyYl9TcUttIOKAkyBOZXcgZmllbGQN CgkJDQogICAgVGFibGVzIA0KCU5ldyBNb2RlbDoNCgkJRXh0ZXJuYWxJRENyb3Nzd2Fsaw0KCQlG ZWF0dXJldG9IVU1vZA0KCQlGZWF0dXJlVG9NZXRhZGF0YQ0KCQlNZXRhX1Byb2Nlc3NEZXRhaWwN CgkJTWV0YV9Tb3VyY2VEZXRhaWwNCgkJUHJvY2Vzc2luZ1BhcmFtZXRlcnMNCgkJVXBkYXRlU3Rh dHVzDQoJCVdCRF9BdHRyaWJ1dGVzDQoJCVdCRF9OYXYNCgkNCglPY3RvYmVyIDIwMTIJDQoJQ2hh bmdlcyB0byB0aGUgV0JEIGRhdGEgbW9kZWwgaW5jbHVkZSB0aGUgZWxpbWluYXRpb24gb2YgdGhl IHVuZGVyc2NvcmUgIl8iIGluIGZpZWxkIGFuZCB0YWJsZSBuYW1lcywgc3dpdGNoaW5nIHRvIGNh bWVsQ2FzZS4gT3RoZXIgY2hhbmdlcyB0byB0aGUgV0JEIGRhdGEgbW9kZWwgaW5jbHVkZSB0aGUg ZWxpbWluYXRpb24gb2YgdGhlIFdCRFBvaW50IHRhYmxlLCB0aGUgV0JEUG9pbnRFdmVudCB0YWJs ZSwgYW5kIHRoZSBXQkRBdHJpYnV0ZXMgdGFibGUuICBGaWVsZHMgaGF2ZSBiZWVuIGFkZGVkIHRv IHRoZSBXQkRIVTEyIHBvbHlnb24gZmVhdHVyZSBkYXRhc2V0IHRoYXQgYWxsb3cgbWV0YWRhdGEg cmVjb3JkIGxpbmtpbmcgYW5kIGFsc28gaW5jbHVkZSB0aGUgZG93bnN0cmVhbSBhdHRyaWJ1dGUu ICBOV0lTIGRyYWluYWdlIGFyZWEgbGluZSBhbmQgcG9seWdvbiBmZWF0dXJlIGNsYXNzZXMgaGF2 ZSBiZWVuIGFkZGVkIGFsc28uDQoJCQ0KCU5ldyBNb2RlbDoNCglXQkQgbGluZSBkYXRhc2V0DQoJ CVROTUlEIOKAkyBVc2UgdG8gYmUgUGVybWFuZW50SUQNCgkJSFVMZXZlbA0KCQlIVUNsYXNzIOKA kyBOZXcgZmllbGQgcG9wdWxhdGVkIHdpdGggdGhlIG51bWJlciBvZiBkaWdpdHMgb2YgdGhlIGh5 ZHJvbG9naWMgdW5pdA0KCQlIVU1vZA0KCQlMaW5lU291cmNlDQoJCUxvYWREYXRlIOKAkyBOZXcg ZmllbGQgZm9yIGZlYXR1cmUgbGV2ZWwgbWV0YWRhdGENCgkJKFNvdXJjZV9GZWF0dXJlSUQsIE1l dGFfU291cmNlSUQsIFNvdXJjZV9EYXRhRGVzYywgU291cmNlX09yaWdpbmF0b3IgZmllbGRzIHJl bW92ZWQgZnJvbSBXQkRMaW5lIGRhdGFzZXQpDQoJCQ0KCVdCRCBwb2x5Z29uIGRhdGFzZXQNCglG aWVsZHMgaW5jbHVkZWQgaW4gYWxsIGxldmVscyBvZiBoeWRyb2xvZ2ljIHVuaXQgcG9seWdvbiBk YXRhc2V0cy4NCgkJVE5NSUQg4oCTIE5ldyBmaWVsZCBmb3IgZmVhdHVyZSBsZXZlbCBtZXRhZGF0 YSANCgkJTWV0YVNvdXJjZUlEIOKAkyBOZXcgZmllbGQgZm9yIGZlYXR1cmUgbGV2ZWwgbWV0YWRh dGENCgkJU291cmNlRGF0YURlc2Mg4oCTIE5ldyBmaWVsZCBmb3IgZmVhdHVyZSBsZXZlbCBtZXRh ZGF0YQ0KCQlTb3VyY2VPcmlnaW5hdG9yIOKAkyBOZXcgZmllbGQgZm9yIGZlYXR1cmUgbGV2ZWwg bWV0YWRhdGENCgkJU291cmNlRmVhdHVyZUlEIOKAkyBOZXcgZmllbGQgZm9yIGZlYXR1cmUgbGV2 ZWwgbWV0YWRhdGENCgkJTG9hZERhdGUg4oCTIE5ldyBmaWVsZCBmb3IgZmVhdHVyZSBsZXZlbCBt ZXRhZGF0YQ0KCQlHTklTX0lEID0gcmVwbGFjZXMgR2F6X0lEIA0KCQlBcmVhQWNyZXMgDQoJCUFy ZWFTcUttIA0KCQlTdGF0ZXMNCgkJTG9hZERhdGUNCgkJSFVDImRpZ2l0IiAtIGZvciBleGFtcGxl OiBIVUMxMiANCgkJTmFtZQ0KCQkNCglGaWVsZHMgaW5jbHVkZWQgd2l0aCB0aGUgMTAtLCAxMi0s IDE0LSBhbmQgMTYtIGRpZ2l0IHBvbHlnb24gZGF0YXNldHMuDQoJCUhVVHlwZQ0KCQlIVU1vZA0K DQoJRmllbGRzIGluY2x1ZGVkIHdpdGggdGhlIDEyLSwgMTQtIGFuZCAxNi0gZGlnaXQgcG9seWdv biBkYXRhc2V0cy4NCgkJTkNvbnRyYkFjcmVzDQoJCU5Db250cmJTcUttIA0KDQoJRmllbGQgaW5j bHVkZWQgd2l0aCB0aGUgMTItZGlnaXQgcG9seWdvbiBkYXRhc2V0LiANCgkJVG9IVUMg4oCTIFRo aXMgYXR0cmlidXRlIHdhcyBpbmNsdWRlZCBpbiB0aGUgb3JpZ2luYWwgV0JEIGRhdGEgbW9kZWwg YXMgSFVfMTJfRFMgYW5kIHJlcHJlc2VudHMgdGhlIGNvZGUgb2YgdGhlIG5leHQgdW5pdCBkb3du c3RyZWFtLiBUaGUgdmFsdWVzIGZvciB0aGlzIGZpZWxkIHdlcmUgcG9wdWxhdGVkIGZvciB0aGUg bGFzdCB2ZXJzaW9uIG9mIHRoZSBkYXRhc2V0IGluIHRoZSBvbGQgbW9kZWwgYnkgbGlua2luZyB0 aGUgMiB0YWJsZXMgYnkgdGhlIDEyLWRpZ2l0IGNvZGUgYW5kIGNhbGN1bGF0aW5nIHRoZSB2YWx1 ZSBvdmVyLg0KDQoJTldJU0RyYWluYWdlQXJlYSBwb2x5Z29uIGRhdGFzZXQgYWRkZWQgYXMgYSBw bGFjZSBob2xkZXIgZm9yIHdoZW4gdGhlc2UgZGF0YXNldHMgYXJlIGdlbmVyYXRlZC4NCglBdHRy aWJ1dGUgRmllbGRzOg0KCQlUTk1JRA0KCQlNZXRhU291cmNlSUQNCgkJU291cmNlRGF0YURlc2MN CgkJU291cmNlT3JpZ2luYXRvcg0KCQlTb3VyY2VGZWF0dXJlSUQNCgkJTG9hZERhdGUNCgkJUmVm ZXJlbmNlVE5NSUQNCgkJU2l0ZUlEDQoJCUFnZW5jeUNvZGUNCgkJU2l0ZU51bWJlcg0KCQlTdGF0 aW9uTmFtZQ0KCQlUb3RhbERyYWluYWdlQXJlYQ0KCQlDb250cmlidXRpbmdEcmFpbmFnZUFyZWEN Cg0KCU5XSVNCb3VuZGFyeSBsaW5lIGRhdGFzZXQgYWRkZWQgYXMgYSBwbGFjZSBob2xkZXIgZm9y IHdoZW4gdGhlc2UgZGF0YXNldHMgYXJlIGdlbmVyYXRlZC4NCglBdHRyaWJ1dGUgRmllbGRzOg0K CQlUTk1JRA0KCQlNZXRhU291cmNlSUQNCgkJU291cmNlRGF0YURlc2MNCgkJU291cmNlT3JpZ2lu YXRvcg0KCQlTb3VyY2VGZWF0dXJlSUQNCgkJTG9hZERhdGUNCgkJUmVmZXJlbmNlVE5NSUQNCg0K CU5vbkNvbnRyaWJ1dGluZ0RyYWluYWdlQXJlYSBwb2x5Z29uIGRhdGFzZXQgYWRkZWQgYXMgYSBw bGFjZSBob2xkZXIgZm9yIHdoZW4gdGhlc2UgZGF0YXNldHMgYXJlIGdlbmVyYXRlZC4NCglBdHRy aWJ1dGUgRmllbGRzOg0KCQlUTk1JRA0KCQlNZXRhU291cmNlSUQNCgkJU291cmNlRGF0YURlc2MN CgkJU291cmNlT3JpZ2luYXRvcg0KCQlTb3VyY2VGZWF0dXJlSUQNCgkJTG9hZERhdGUNCiAgICAg IA0KCTIwMTMgDQoJQ2hhbmdlcyB0byB0aGUgV0JEIGRhdGEgbW9kZWwgaW5jbHVkZSB1cGRhdGVz IHRvIHRoZSBmaWVsZCBmb3IgdGhlIE5vbkNvbnRyaWJ1dGluZ0RyYWluYWdlQXJlYSBwb2x5Z29u IGRhdGFzZXQsIE5XSVNCb3VuZGFyeSBsaW5lIGRhdGFzZXQgYW5kIHRoZSBOV0lTRHJhaW5hZ2VB cmVhIHBvbHlnb24gZGF0YXNldC4gVGhpcyBpbmNsdWRlcyB0aGUgYWRkaXRpb24gb2YgbmV3IGZp ZWxkcyBhbmQgdGhlIHJlLW5hbWluZyBvZiBzb21lIG9mIHRoZSBleGlzdGluZyBmaWVsZHMuDQoJ CQ0KCU5XSVNEcmFpbmFnZUFyZWEgcG9seWdvbiBkYXRhc2V0OiANCglBdHRyaWJ1dGUgRmllbGRz Og0KCQlUTk1JRA0KCQlNZXRhU291cmNlSUQNCgkJU291cmNlRGF0YURlc2MNCgkJU291cmNlT3Jp Z2luYXRvcg0KCQlTb3VyY2VGZWF0dXJlSUQNCgkJTG9hZERhdGUNCgkJUmVmZXJlbmNlVE5NSURO SERQb2ludEV2ZW50IOKAkyBSZW5hbWVkIGZyb20gUmVmZXJlbmNlVE5NSUQNCgkJQWdlbmN5Q29k ZQ0KCQlTaXRlTnVtYmVyDQoJCVN0YXRpb25OYW1lDQoJCUNvbnRyaWJ1dGluZ0RyYWluYWdlQXJl YUFjcmVzIOKAkyBPcmlnaW5hbGx5IGNhbGxlZCBDb250cmlidXRpbmdEcmFpbmFnZUFyZWENCgkJ VG90YWxEcmFpbmFnZUFyZWFBY3JlcyDigJMgT3JpZ2luYWxseSBjYWxsZWQgVG90YWxEcmFpbmFn ZUFyZWENCgkJQ29udHJpYnV0aW5nRHJhaW5hZ2VBcmVhU3FLbSDigJMgTmV3IGZpZWxkDQoJCVRv dGFsRHJhaW5hZ2VBcmVhU3FLbSDigJMgTmV3IGZpZWxkDQoJCVNpdGVJRCAtIFJlbW92ZWQNCg0K CU5XSVNCb3VuZGFyeSBsaW5lIGRhdGFzZXQ6IA0KCUF0dHJpYnV0ZSBGaWVsZHM6DQoJCVROTUlE DQoJCU1ldGFTb3VyY2VJRA0KCQlTb3VyY2VEYXRhRGVzYw0KCQlTb3VyY2VPcmlnaW5hdG9yDQoJ CVNvdXJjZUZlYXR1cmVJRA0KCQlMb2FkRGF0ZQ0KCQlSZWZlcmVuY2VUTk1JRFBvaW50RXZlbnQg 4oCTIE9yaWdpbmFsbHkgY2FsbGVkIFJlZmVyZW5jZVROTUlEDQoJCVNpdGVOdW1iZXIg4oCTIE5l dyBmaWVsZA0KDQoJTm9uQ29udHJpYnV0aW5nRHJhaW5hZ2VBcmVhIHBvbHlnb24gZGF0YXNldCAN CgkJQXR0cmlidXRlIEZpZWxkczoNCgkJVE5NSUQNCgkJTWV0YVNvdXJjZUlEDQoJCVNvdXJjZURh dGFEZXNjDQoJCVNvdXJjZU9yaWdpbmF0b3INCgkJU291cmNlRmVhdHVyZUlEDQoJCUxvYWREYXRl DQoJCU5vbkNvbnRyaWJ1dGluZ1NxS20g4oCTIE5ldyBmaWVsZA0KCQlOb25Db250cmlidXRpbmdB Y3JlcyDigJMgTmV3IGZpZWxkDQoJCVJlZmVyZW5jZVROTUlEMTJkaWdpdEhVIOKAkyBOZXcgZmll bGQNCgkJDQoJVGFibGVzDQoJCUV4dGVybmFsQ3Jvc3N3YWxrIC0gT3JpZ2luYWxseSBjYWxsZWQg RXh0ZXJuYWxJRENyb3Nzd2Fsaw0KCQlGZWF0dXJlVG9IVU1vZCAtIHJlbW92ZWQNCgkJRmVhdHVy ZVRvTWV0YWRhdGENCgkJSFVNb2QgLSBOZXdGaWVsZA0KCQlNZXRhUHJvY2Vzc0RldGFpbCAtIFBy ZXZpb3VzIHZlcnNpb24gY2FsbGVkIE1ldGFfUHJvY2Vzc0RldGFpbA0KCQlNZXRhU291cmNlRGV0 YWlsIC0gUHJldmlvdXMgdmVyc2lvbiBjYWxsZWQgTWV0YV9Tb3VyY2VEZXRhaWwNCgkJUHJvY2Vz c2luZ1BhcmFtZXRlcnMNCgkJVXBkYXRlU3RhdHVzDQoJCVdCRF9BdHRyaWJ1dGVzIC0gcmVtb3Zl ZA0KCQlXQkROYXZpZ2F0aW9uIC0gT3JpZ2luYWxseSBXQkRfTmF2DQoJCQ0KCTIwMTQNCgkNCgkN CgkyMDE1DQoJQ2hhbmdlcyB0byB0aGUgV0JEIGRhdGEgbW9kZWwgaW5jbHVkZSB1cGRhdGVzIG9y IGFkZGl0aW9ucyB0byB0aGUgZmllbGRzIGZvciB0aGUgTm9uQ29udHJpYnV0aW5nRHJhaW5hZ2VB cmVhIHBvbHlnb24gZGF0YXNldCwgTldJU0JvdW5kYXJ5IGxpbmUgZGF0YXNldCBhbmQgdGhlIE5X SVNEcmFpbmFnZUFyZWEgcG9seWdvbiBkYXRhc2V0LiBUaGUgbWFqb3JpdHkgb2YgdGhlc2UgYXJl IGR1ZSB0byB0aGUgbGVuZ3RoIG9mIHRoZSBvcmlnaW5hbCBuYW1lIGZvciB0aGUgZmllbGQuIEEg bmV3IGxpbmUgZGF0YXNldCB3YXMgY3JlYXRlZCBmb3IgTm9uIENvbnRyaWJ1dGluZyBBcmVhIGNh bGxlZCBOb25Db250cmlidXRpbmdEcmFpbmFnZUxpbmUgTldJU0JvdW5kYXJ5IHdhcyByZS1uYW1l ZCBOV0lTRHJhaW5hZ2VMaW5lDQoJCQ0KCU5XSVNEcmFpbmFnZUFyZWEgcG9seWdvbiBkYXRhc2V0 OiANCglBdHRyaWJ1dGUgRmllbGRzOg0KCQlUTk1JRA0KCQlNZXRhU291cmNlSUQNCgkJU291cmNl RGF0YURlc2MNCgkJU291cmNlT3JpZ2luYXRvcg0KCQlTb3VyY2VGZWF0dXJlSUQNCgkJTG9hZERh dGUNCgkJQXJlYVNxS20g4oCTIE5ldyBGaWVsZA0KCQlBZ2VuY3lDb2RlDQoJCVNpdGVOdW1iZXIN CgkJU3RhdGlvbk5hbWUNCgkJVG90YWxBcmVhU3FNaSDigJMgTmV3IEZpZWxkDQoJCU5XSVNUb3Rh bEFyZWFTcU1pIOKAkyBOZXcgRmllbGQNCgkJQ29udHJpYnV0aW5nQXJlYVNxTWkg4oCTIE5ldyBG aWVsZA0KCQlOV0lTQ29udHJpYnV0aW5nQXJlYVNxTWkg4oCTIE5ldyBGaWVsZA0KCQlSZWZlcmVu Y2VUTk1JRE5IRFBvaW50RXZlbnQgDQoJCVJlbWFya3Mg4oCTIE5ldyBGaWVsZA0KCQlDb250cmli dXRpbmdEcmFpbmFnZUFyZWFBY3JlcyDigJMgUmVtb3ZlZA0KCQlUb3RhbERyYWluYWdlQXJlYUFj cmVzIOKAkyBSZW1vdmVkDQoJCUNvbnRyaWJ1dGluZ0RyYWluYWdlQXJlYVNxS20g4oCTIFJlbW92 ZWQNCgkJVG90YWxEcmFpbmFnZUFyZWFTcUttIOKAkyBSZW1vdmVkDQoNCglOV0lTRHJhaW5hZ2VM aW5lIGxpbmUgZGF0YXNldCANCglBdHRyaWJ1dGUgRmllbGRzOg0KCQlUTk1JRA0KCQlNZXRhU291 cmNlSUQNCgkJU291cmNlRGF0YURlc2MNCgkJU291cmNlT3JpZ2luYXRvcg0KCQlTb3VyY2VGZWF0 dXJlSUQNCgkJTG9hZERhdGUNCgkJTGVuZ3RoS20g4oCTIE5ldyBGaWVsZA0KCQlMaW5lU291cmNl IOKAkyBOZXcgRmllbGQNCgkJQWdlbmN5IENvZGUg4oCTIE5ldyBGaWVsZA0KCQlTaXRlTnVtYmVy IA0KCQlSZWZlcmVuY2VUTk1JRFBvaW50RXZlbnQg4oCTIFJlbW92ZWQNCg0KCU5vbkNvbnRyaWJ1 dGluZ0RyYWluYWdlQXJlYSBwb2x5Z29uIGRhdGFzZXQgDQoJQXR0cmlidXRlIEZpZWxkczoNCgkJ VE5NSUQNCgkJTWV0YVNvdXJjZUlEDQoJCVNvdXJjZURhdGFEZXNjDQoJCVNvdXJjZU9yaWdpbmF0 b3INCgkJU291cmNlRmVhdHVyZUlEDQoJCUxvYWREYXRlDQoJCUFyZWFTcUttIOKAkyBOZXcgRmll bGQNCgkJTm9uQ29udHJpYnV0aW5nQXJlYVNxS20g4oCTIFJlLW5hbWVkIGZyb20gTm9uQ29udHJp YnV0aW5nU3FLbQ0KCQlSZW1hcmtzIOKAkyBOZXcgRmllbGQNCgkJTm9uQ29udHJpYnV0aW5nQWNy ZXMgLSBSZW1vdmVkDQoJCVJlZmVyZW5jZVROTUlEMTJkaWdpdEhVIC0gUmVtb3ZlZA0KDQoJTm9u Q29udHJpYnV0aW5nRHJhaW5hZ2VMaW5lIGxpbmUgZGF0YXNldCDigJMgTmV3IGRhdGFzZXQNCgkJ QXR0cmlidXRlIEZpZWxkczoNCgkJVE5NSUQNCgkJTWV0YVNvdXJjZUlEDQoJCVNvdXJjZURhdGFE ZXNjDQoJCVNvdXJjZU9yaWdpbmF0b3INCgkJU291cmNlRmVhdHVyZUlEDQoJCUxvYWREYXRlDQoJ CUxlbmd0aEttDQoJCUxpbmVTb3VyY2UNCg0KCTIwMTYNCgkNCglXQkRMaW5lIGRhdGFzZXQNCgkJ VE5NSUQNCgkJSFVMZXZlbCAtIHJlbW92ZWQNCgkJSFVEaWdpdCAtIE9yaWdpbmFsbHkgY2FsbGVk IEhVQ2xhc3MNCgkJSFVNb2QNCgkJTGluZVNvdXJjZQ0KCQlNZXRhU291cmNlSUQNCgkJTG9hZERh dGUNCgkNCglXQkQgcG9seWdvbiBkYXRhc2V0cw0KCUZpZWxkcyBpbmNsdWRlZCB3aXRoIHRoZSAx Mi0sIDE0LSBhbmQgMTYtIGRpZ2l0IHBvbHlnb24gZGF0YXNldHMuDQoJCU5vbkNvbnRyaWJ1dGlu Z0FyZWFBY3JlcyAtIHByZXZpb3VzIHZlcnNpb24gd2FzIE5vbkNvbnRyaWJ1dGluZ0FjcmVzDQoJ CU5vbkNvbnRyaWJ1dGluZ0FyZWFTcUttIC0gcHJldmlvdXMgdmVyc2lvbiB3YXMgTm9uQ29udHJp YnV0aW5nU3FLbTwvcHJvY2Rlc2M+DQogICAgICAgIDxwcm9jZGF0ZT4yMDE2PC9wcm9jZGF0ZT4N CiAgICAgIDwvcHJvY3N0ZXA+DQogICAgICA8cHJvY3N0ZXA+DQogICAgICAgIDxwcm9jZGVzYz5B ZGRpdGlvbmFsIGluZm9ybWF0aW9uIGFib3V0IHRoZSBwcm9jZXNzZXMgdXNlZCB0byBjcmVhdGUg YW5kIG1haW50YWluIHRoZSBXQkQgYWZ0ZXIgSnVuZSBvZiAyMDEyIGNhbiBiZSBmb3VuZCBpbiB0 aGUgdGFibGUgY2FsbGVkIE1FVEFQUk9DRVNTREVUQUlMLiBUaGUgcHJvY2VzcyBkZXNjcmlwdGlv bnMgYXJlIGxpbmtlZCB1c2luZyB0aGUgVE5NSUQgdG8gdGhlIEZFQVRVUkVUT01FVEFEQVRBIHRh YmxlLiBJbiBhZGRpdGlvbiB0aGUgTUVUQVNPVVJDRURFVEFJTCB0YWJsZSBjYW4gYWxzbyBiZSBs aW5rZWQgdG8gZGV0ZXJtaW5lIHRoZSBzb3VyY2VzIHVzZWQgdG8gY3JlYXRlIG9yIHVwZGF0ZSB0 aGUgV0JEIGRhdGEuPC9wcm9jZGVzYz4NCiAgICAgICAgPHByb2NkYXRlPjIwMTI8L3Byb2NkYXRl Pg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICA8L2xpbmVhZ2U+DQogIDwvZGF0YXF1YWw+DQogIDxz cGRvaW5mbz4NCiAgICA8ZGlyZWN0PlZlY3RvcjwvZGlyZWN0Pg0KICA8L3NwZG9pbmZvPg0KICA8 c3ByZWY+DQogICAgPGhvcml6c3lzPg0KICAgICAgPGdlb2dyYXBoPg0KICAgICAgICA8bGF0cmVz PjAuMDE5Nzk0MDMyNDwvbGF0cmVzPg0KICAgICAgICA8bG9uZ3Jlcz4wLjAyMjM5NDU5OTg8L2xv bmdyZXM+DQogICAgICAgIDxnZW9ndW5pdD5EZWNpbWFsIHNlY29uZHM8L2dlb2d1bml0Pg0KICAg ICAgPC9nZW9ncmFwaD4NCiAgICAgIDxnZW9kZXRpYz4NCiAgICAgICAgPGhvcml6ZG4+Tm9ydGgg QW1lcmljYW4gRGF0dW0gb2YgMTk4MzwvaG9yaXpkbj4NCiAgICAgICAgPGVsbGlwcz5HZW9kZXRp YyBSZWZlcmVuY2UgU3lzdGVtIDgwPC9lbGxpcHM+DQogICAgICAgIDxzZW1pYXhpcz42Mzc4MTM3 LjA8L3NlbWlheGlzPg0KICAgICAgICA8ZGVuZmxhdD4yOTguMjU3MjIyMTAxPC9kZW5mbGF0Pg0K ICAgICAgPC9nZW9kZXRpYz4NCiAgICA8L2hvcml6c3lzPg0KICA8L3NwcmVmPg0KICA8ZWFpbmZv Pg0KICAgIDxkZXRhaWxlZCBOYW1lPSJXQkRIVTEyIj4NCiAgICAgIDxlbnR0eXA+DQogICAgICAg IDxlbnR0eXBsPldCREhVMjwvZW50dHlwbD4NCiAgICAgICAgPGVudHR5cGQ+UG9seWdvbiBmZWF0 dXJlIGNsYXNzIHJlcHJlc2VudGluZyB0aGUgMi1kaWdpdCBoeWRyb2xvZ2ljIHVuaXQgYm91bmRh cmllcyAocHJldmlvdXNseSByZWZlcnJlZCB0byBhcyBSZWdpb25zKSBhbmQgYXJlIHBhcnQgb2Yg dGhlIFdCRCBkZWxpdmVyeS48L2VudHR5cGQ+DQogICAgICAgIDxlbnR0eXBkcz5GZWRlcmFsIFN0 YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFy eSBEYXRhc2V0PC9lbnR0eXBkcz4NCiAgICAgICAgPGVudHR5cHQgU3luYz0iVFJVRSI+RmVhdHVy ZSBDbGFzczwvZW50dHlwdD4NCiAgICAgICAgPGVudHR5cGMgU3luYz0iVFJVRSI+MDwvZW50dHlw Yz4NCiAgICAgIDwvZW50dHlwPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5j PSJUUlVFIj5PQkpFQ1RJRDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVF Ij5PQkpFQ1RJRDwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5PSUQ8 L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+NDwvYXR0d2lkdGg+DQog ICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNj YWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRlZiBTeW5jPSJUUlVF Ij5JbnRlcm5hbCBmZWF0dXJlIG51bWJlci48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcyBT eW5jPSJUUlVFIj5Fc3JpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAg IDx1ZG9tIFN5bmM9IlRSVUUiPlNlcXVlbnRpYWwgdW5pcXVlIHdob2xlIG51bWJlcnMgdGhhdCBh cmUgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0K ICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVF Ij5TaGFwZTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5TSEFQRTwv YXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5HZW9tZXRyeTwvYXR0cnR5 cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj4wPC9hdHR3aWR0aD4NCiAgICAgICAg PGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3lu Yz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZGVmIFN5bmM9IlRSVUUiPkZlYXR1 cmUgZ2VvbWV0cnkuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnMgU3luYz0iVFJVRSI+RXNy aTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbSBTeW5jPSJU UlVFIj5Db29yZGluYXRlcyBkZWZpbmluZyB0aGUgZmVhdHVyZXMuPC91ZG9tPg0KICAgICAgICA8 L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFi bCBTeW5jPSJUUlVFIj5UTk1JRDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJU UlVFIj5UTk1JRDwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJp bmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+NDA8L2F0dHdpZHRo Pg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxh dHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxh dHRyPg0KICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+TWV0YVNvdXJjZUlEPC9hdHRybGFi bD4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPk1ldGFTb3VyY2VJRDwvYXR0YWxpYXM+ DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBlPg0KICAgICAg ICA8YXR0d2lkdGggU3luYz0iVFJVRSI+NDA8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMg U3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4w PC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxh YmwgU3luYz0iVFJVRSI+U291cmNlRGF0YURlc2M8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0YWxp YXMgU3luYz0iVFJVRSI+U291cmNlRGF0YURlc2M8L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5 cGUgU3luYz0iVFJVRSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9 IlRSVUUiPjEwMDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9h dHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAg ICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5T b3VyY2VPcmlnaW5hdG9yPC9hdHRybGFibD4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUi PlNvdXJjZU9yaWdpbmF0b3I8L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJV RSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjEzMDwv YXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAg ICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRyPg0K ICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5Tb3VyY2VGZWF0dXJl SUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+U291cmNlRmVhdHVy ZUlEPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlN0cmluZzwvYXR0 cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40MDwvYXR0d2lkdGg+DQogICAg ICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxl IFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQog ICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5Mb2FkRGF0ZTwvYXR0cmxhYmw+DQogICAgICAg IDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5Mb2FkRGF0ZTwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRy dHlwZSBTeW5jPSJUUlVFIj5EYXRlPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9 IlRSVUUiPjg8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRw cmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAg IDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+Tm9u Q29udHJpYnV0aW5nQXJlYUFjcmVzPC9hdHRybGFibD4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9 IlRSVUUiPk5vbkNvbnRyaWJ1dGluZ0FyZWFBY3JlczwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRy dHlwZSBTeW5jPSJUUlVFIj5Eb3VibGU8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3lu Yz0iVFJVRSI+ODwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9h dHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAg ICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5O b25Db250cmlidXRpbmdBcmVhU3FLbTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5j PSJUUlVFIj5Ob25Db250cmlidXRpbmdBcmVhU3FLbTwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRy dHlwZSBTeW5jPSJUUlVFIj5Eb3VibGU8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3lu Yz0iVFJVRSI+ODwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9h dHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAg ICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5B cmVhU3FLbTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5BcmVhU3FL bTwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5Eb3VibGU8L2F0dHJ0 eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+ODwvYXR0d2lkdGg+DQogICAgICAg IDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5 bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5BcmVhQWNyZXM8L2F0dHJsYWJsPg0KICAgICAgICA8 YXR0YWxpYXMgU3luYz0iVFJVRSI+QXJlYUFjcmVzPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0 eXBlIFN5bmM9IlRSVUUiPkRvdWJsZTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5j PSJUUlVFIj44PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0 cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAg ICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsIFN5bmM9IlRSVUUiPkdO SVNfSUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+R05JU19JRDwv YXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5JbnRlZ2VyPC9hdHRydHlw ZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjQ8L2F0dHdpZHRoPg0KICAgICAgICA8 YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5j PSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAg ICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+TmFtZTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlh cyBTeW5jPSJUUlVFIj5OYW1lPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRS VUUiPlN0cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj4xMjA8 L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQog ICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0cj4N CiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+U3RhdGVzPC9hdHRy bGFibD4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPlN0YXRlczwvYXR0YWxpYXM+DQog ICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBlPg0KICAgICAgICA8 YXR0d2lkdGggU3luYz0iVFJVRSI+NTA8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3lu Yz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9h dHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmwg U3luYz0iVFJVRSI+SFVDMTI8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJV RSI+SFVDMTI8L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+U3RyaW5n PC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjEyPC9hdHR3aWR0aD4N CiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0 c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0 cj4NCiAgICAgICAgPGF0dHJsYWJsIFN5bmM9IlRSVUUiPkhVVHlwZTwvYXR0cmxhYmw+DQogICAg ICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5IVVR5cGU8L2F0dGFsaWFzPg0KICAgICAgICA8YXR0 cnR5cGUgU3luYz0iVFJVRSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5 bmM9IlRSVUUiPjI1NTwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4w PC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0K ICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVF Ij5IVU1vZDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5IVU1vZDwv YXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBl Pg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MzA8L2F0dHdpZHRoPg0KICAgICAgICA8 YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5j PSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAg ICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+VG9IVUM8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0YWxp YXMgU3luYz0iVFJVRSI+VG9IVUM8L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0i VFJVRSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjE2 PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0K ICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICA8L2F0dHI+ DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsIFN5bmM9IlRSVUUiPlNoYXBlX0xlbmd0 aDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5TSEFQRV9MRU5HVEg8 L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+RG91YmxlPC9hdHRydHlw ZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjg8L2F0dHdpZHRoPg0KICAgICAgICA8 YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5j PSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkZWYgU3luYz0iVFJVRSI+TGVuZ3Ro IG9mIGZlYXR1cmUgaW4gaW50ZXJuYWwgdW5pdHMuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRl ZnMgU3luYz0iVFJVRSI+RXNyaTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAg ICAgICA8dWRvbSBTeW5jPSJUUlVFIj5Qb3NpdGl2ZSByZWFsIG51bWJlcnMgdGhhdCBhcmUgYXV0 b21hdGljYWxseSBnZW5lcmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAg PC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5TaGFw ZV9BcmVhPC9hdHRybGFibD4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPlNIQVBFX0FS RUE8L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+RG91YmxlPC9hdHRy dHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjg8L2F0dHdpZHRoPg0KICAgICAg ICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBT eW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkZWYgU3luYz0iVFJVRSI+QXJl YSBvZiBmZWF0dXJlIGluIGludGVybmFsIHVuaXRzIHNxdWFyZWQuPC9hdHRyZGVmPg0KICAgICAg ICA8YXR0cmRlZnMgU3luYz0iVFJVRSI+RXNyaTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9t dj4NCiAgICAgICAgICA8dWRvbSBTeW5jPSJUUlVFIj5Qb3NpdGl2ZSByZWFsIG51bWJlcnMgdGhh dCBhcmUgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212 Pg0KICAgICAgPC9hdHRyPg0KICAgIDwvZGV0YWlsZWQ+DQogICAgPGRldGFpbGVkPg0KICAgICAg PGVudHR5cD4NCiAgICAgICAgPGVudHR5cGw+V0JESFU0PC9lbnR0eXBsPg0KICAgICAgICA8ZW50 dHlwZD5Qb2x5Z29uIGZlYXR1cmUgY2xhc3MgcmVwcmVzZW50aW5nIHRoZSA0LWRpZ2l0IGh5ZHJv bG9naWMgdW5pdCBib3VuZGFyaWVzIChwcmV2aW91c2x5IHJlZmVycmVkIHRvIGFzIFN1YnJlZ2lv bnMpIHRoYXQgYXJlIHBhcnQgb2YgdGhlIFdCRCBkZWxpdmVyeS48L2VudHR5cGQ+DQogICAgICAg IDxlbnR0eXBkcz5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlv bmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0PC9lbnR0eXBkcz4NCiAgICAgIDwvZW50dHlw Pg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5IVUM0PC9hdHRybGFibD4NCiAgICAg ICAgPGF0dHJkZWY+VGhlIEhVQzQgZmllbGQgaXMgYSB1bmlxdWUgNC1kaWdpdCBoeWRyb2xvZ2lj IHVuaXQgY29kZS48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5GZWRlcmFsIFN0YW5kYXJk cyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRh c2V0IChXQkQpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDxjb2Rl c2V0ZD4NCiAgICAgICAgICAgIDxjb2Rlc2V0bj5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2Vk dXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0IChXQkQpPC9j b2Rlc2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz5TZWN0aW9uIDY6IEdlb3NwYXRpYWwgRGF0 YSBTdHJ1Y3R1cmUgYW5kIEF0dHJpYnV0ZXMgaHR0cDovL3B1YnMudXNncy5nb3YvdG0vMTEvYTMv KTwvY29kZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4N CiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0KICAgIDxkZXRhaWxlZD4NCiAgICAgIDxl bnR0eXA+DQogICAgICAgIDxlbnR0eXBsPldCREhVNjwvZW50dHlwbD4NCiAgICAgICAgPGVudHR5 cGQ+UG9seWdvbiBmZWF0dXJlIGNsYXNzIHJlcHJlc2VudGluZyB0aGUgNi1kaWdpdCBoeWRyb2xv Z2ljIHVuaXQgYm91bmRhcmllcyAocHJldmlvdXNseSByZWZlcnJlZCB0byBhcyBCYXNpbnMpIGFu ZCBhcmUgcGFydCBvZiB0aGUgV0JEIGRlbGl2ZXJ5LjwvZW50dHlwZD4NCiAgICAgICAgPGVudHR5 cGRzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0 ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2VudHR5cGRzPg0KICAgICAgPC9lbnR0eXA+DQogICAg ICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkhVQzY8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0 cmRlZj5UaGUgSFVDNiBmaWVsZCBpcyBhIHVuaXF1ZSA2LWRpZ2l0IGh5ZHJvbG9naWMgdW5pdCBj b2RlLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQ cm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdC RCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0K ICAgICAgICAgICAgPGNvZGVzZXRuPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZv ciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2NvZGVzZXRu Pg0KICAgICAgICAgICAgPGNvZGVzZXRzPlNlY3Rpb24gNjogR2Vvc3BhdGlhbCBEYXRhIFN0cnVj dHVyZSBhbmQgQXR0cmlidXRlcyAoaHR0cDovL3B1YnMudXNncy5nb3YvdG0vMTEvYTMvKTwvY29k ZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAg IDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0KICAgIDxkZXRhaWxlZD4NCiAgICAgIDxlbnR0eXA+ DQogICAgICAgIDxlbnR0eXBsPldCREhVODwvZW50dHlwbD4NCiAgICAgICAgPGVudHR5cGQ+UG9s eWdvbiBmZWF0dXJlIGNsYXNzIHJlcHJlc2VudGluZyB0aGUgOC1kaWdpdCBoeWRyb2xvZ2ljIHVu aXQgYm91bmRhcmllcyAocHJldmlvdXNseSByZWZlcnJlZCB0byBhcyBTdWJiYXNpbnMpIGFuZCBh cmUgcGFydCBvZiB0aGUgV0JEIGRlbGl2ZXJ5LjwvZW50dHlwZD4NCiAgICAgICAgPGVudHR5cGRz PkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJz aGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2VudHR5cGRzPg0KICAgICAgPC9lbnR0eXA+DQogICAgICA8 YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkhVQzg8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRl Zj5UaGUgSFVDOCBmaWVsZCBpcyBhIHVuaXF1ZSA4LWRpZ2l0IGh5ZHJvbG9naWMgdW5pdCBjb2Rl LjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9j ZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8 L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAg ICAgICAgICAgPGNvZGVzZXRuPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0 aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2NvZGVzZXRuPg0K ICAgICAgICAgICAgPGNvZGVzZXRzPlNlY3Rpb24gNjogR2Vvc3BhdGlhbCBEYXRhIFN0cnVjdHVy ZSBhbmQgQXR0cmlidXRlcyBodHRwOi8vcHVicy51c2dzLmdvdi90bS8xMS9hMy8pPC9jb2Rlc2V0 cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9h dHRyPg0KICAgIDwvZGV0YWlsZWQ+DQogICAgPGRldGFpbGVkPg0KICAgICAgPGVudHR5cD4NCiAg ICAgICAgPGVudHR5cGw+V0JESFUxMDwvZW50dHlwbD4NCiAgICAgICAgPGVudHR5cGQ+UG9seWdv biBmZWF0dXJlIGNsYXNzIHJlcHJlc2VudGluZyB0aGUgMTAtZGlnaXQgaHlkcm9sb2dpYyB1bml0 IGJvdW5kYXJpZXMgKHByZXZpb3VzbHkgcmVmZXJyZWQgdG8gYXMgV2F0ZXJzaGVkcykuPC9lbnR0 eXBkPg0KICAgICAgICA8ZW50dHlwZHM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMg Zm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldDwvZW50dHlwZHM+DQog ICAgICA8L2VudHR5cD4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+SFVDMTA8L2F0 dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5UaGUgSFVDMTAgZmllbGQgaXMgYSB1bmlxdWUgMTAt ZGlnaXQgaHlkcm9sb2dpYyB1bml0IGNvZGUuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+ RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNo ZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4N CiAgICAgICAgICA8Y29kZXNldGQ+DQogICAgICAgICAgICA8Y29kZXNldG4+RmVkZXJhbCBTdGFu ZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkg RGF0YXNldCAoV0JEKTwvY29kZXNldG4+DQogICAgICAgICAgICA8Y29kZXNldHM+UHJvdmlkZSBD b2Rlc2V0IERlZmluaXRpb24gUmVmZXJlbmNlIChDaXRhdGF0aW9uL1VSTCk8L2NvZGVzZXRzPg0K ICAgICAgICAgIDwvY29kZXNldGQ+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+ DQogICAgPC9kZXRhaWxlZD4NCiAgICA8ZGV0YWlsZWQ+DQogICAgICA8ZW50dHlwPg0KICAgICAg ICA8ZW50dHlwbD5XQkRIVTEyPC9lbnR0eXBsPg0KICAgICAgICA8ZW50dHlwZD5Qb2x5Z29uIGZl YXR1cmUgY2xhc3MgcmVwcmVzZW50aW5nIHRoZSAxMi1kaWdpdCBoeWRyb2xvZ2ljIHVuaXQgYm91 bmRhcmllcyAocHJldmlvdXNseSByZWZlcnJlZCB0byBhcyBTdWJ3YXRlcnNoZWRzKS48L2VudHR5 cGQ+DQogICAgICAgIDxlbnR0eXBkcz5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBm b3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0PC9lbnR0eXBkcz4NCiAg ICAgIDwvZW50dHlwPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5IVUMxMjwvYXR0 cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRoZSBIVUMxMiBmaWVsZCBpcyBhIHVuaXF1ZSAxMi1k aWdpdCBoeWRyb2xvZ2ljIHVuaXQgY29kZS48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5G ZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hl ZCBCb3VuZGFyeSBEYXRhc2V0IChXQkQpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0K ICAgICAgICAgIDxjb2Rlc2V0ZD4NCiAgICAgICAgICAgIDxjb2Rlc2V0bj5GZWRlcmFsIFN0YW5k YXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBE YXRhc2V0IChXQkQpPC9jb2Rlc2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz5TZWN0aW9uIDY6 IEdlb3NwYXRpYWwgRGF0YSBTdHJ1Y3R1cmUgYW5kIEF0dHJpYnV0ZXMgKGh0dHA6Ly9wdWJzLnVz Z3MuZ292L3RtLzExL2EzLyk8L2NvZGVzZXRzPg0KICAgICAgICAgIDwvY29kZXNldGQ+DQogICAg ICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0 dHJsYWJsPlRvSFVDPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhlIDEyLWRpZ2l0IGh5 ZHJvbG9naWMgdW5pdCBUb0hVQyBjb2RlIGF0dHJpYnV0ZSBpcyB0aGUgY29kZSBmb3IgdGhlIDEy LWRpZ2l0IGh5ZHJvbG9naWMgdW5pdCB0aGF0IGlzIGRvd25zdHJlYW0gZnJvbSBhbmQgbmF0dXJh bGx5IHJlY2VpdmVzIA0KCXRoZSBtYWpvcml0eSBvZiB0aGUgZmxvdyBmcm9tIGFub3RoZXIgMTIt ZGlnaXQgaHlkcm9sb2dpYyB1bml0LjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVy YWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJv dW5kYXJ5IERhdGFzZXQgKFdCRCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAg ICAgICAgPGNvZGVzZXRkPg0KICAgICAgICAgICAgPGNvZGVzZXRuPkZlZGVyYWwgU3RhbmRhcmRz IGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFz ZXQgKFdCRCk8L2NvZGVzZXRuPg0KICAgICAgICAgICAgPGNvZGVzZXRzPlNlY3Rpb24gNjogR2Vv c3BhdGlhbCBEYXRhIFN0cnVjdHVyZSBhbmQgQXR0cmlidXRlcyAoaHR0cDovL3B1YnMudXNncy5n b3YvdG0vMTEvYTMvKTwvY29kZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAg PC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0KICAgIDxkZXRhaWxl ZD4NCiAgICAgIDxlbnR0eXA+DQogICAgICAgIDxlbnR0eXBsPldCREhVMTQ8L2VudHR5cGw+DQog ICAgICAgIDxlbnR0eXBkPlBvbHlnb24gZmVhdHVyZSBjbGFzcyByZXByZXNlbnRpbmcgdGhlIDE0 LWRpZ2l0IGh5ZHJvbG9naWMgdW5pdCBib3VuZGFyaWVzLjwvZW50dHlwZD4NCiAgICAgICAgPGVu dHR5cGRzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwg V2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2VudHR5cGRzPg0KICAgICAgPC9lbnR0eXA+DQog ICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkhVQzE0PC9hdHRybGFibD4NCiAgICAgICAg PGF0dHJkZWY+VGhlIEhVQzE0IGZpZWxkIGlzIGEgdW5pcXVlIDE0LWRpZ2l0IGh5ZHJvbG9naWMg dW5pdCBjb2RlLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRz IGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFz ZXQgKFdCRCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVz ZXRkPg0KICAgICAgICAgICAgPGNvZGVzZXRuPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1 cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2Nv ZGVzZXRuPg0KICAgICAgICAgICAgPGNvZGVzZXRzPlNlY3Rpb24gNjogR2Vvc3BhdGlhbCBEYXRh IFN0cnVjdHVyZSBhbmQgQXR0cmlidXRlcyAoaHR0cDovL3B1YnMudXNncy5nb3YvdG0vMTEvYTMv KTwvY29kZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4N CiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0KICAgIDxkZXRhaWxlZD4NCiAgICAgIDxl bnR0eXA+DQogICAgICAgIDxlbnR0eXBsPldCREhVMTY8L2VudHR5cGw+DQogICAgICAgIDxlbnR0 eXBkPlBvbHlnb24gZmVhdHVyZSBjbGFzcyByZXByZXNlbnRpbmcgdGhlIDE2LWRpZ2l0IGh5ZHJv bG9naWMgdW5pdCBib3VuZGFyaWVzLjwvZW50dHlwZD4NCiAgICAgICAgPGVudHR5cGRzPkZlZGVy YWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJv dW5kYXJ5IERhdGFzZXQ8L2VudHR5cGRzPg0KICAgICAgPC9lbnR0eXA+DQogICAgICA8YXR0cj4N CiAgICAgICAgPGF0dHJsYWJsPkhVQzE2PC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhl IEhVQzE2IGZpZWxkIGlzIGEgdW5pcXVlIDE2LWRpZ2l0IGh5ZHJvbG9naWMgdW5pdCBjb2RlLjwv YXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1 cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2F0 dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAgICAg ICAgICAgPGNvZGVzZXRuPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUg TmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2NvZGVzZXRuPg0KICAg ICAgICAgICAgPGNvZGVzZXRzPlNlY3Rpb24gNjogR2Vvc3BhdGlhbCBEYXRhIFN0cnVjdHVyZSBh bmQgQXR0cmlidXRlcyBodHRwOi8vcHVicy51c2dzLmdvdi90bS8xMS9hMy8pPC9jb2Rlc2V0cz4N CiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRy Pg0KICAgIDwvZGV0YWlsZWQ+DQogICAgPGRldGFpbGVkPg0KICAgICAgPGVudHR5cD4NCiAgICAg ICAgPGVudHR5cGw+V0JETGluZTwvZW50dHlwbD4NCiAgICAgICAgPGVudHR5cGQ+TGluZSBmZWF0 dXJlIGNsYXNzIGRlZmluaW5nIHRoZSBoeWRyb2xvZ2ljIHVuaXQgYm91bmRhcmllczwvZW50dHlw ZD4NCiAgICAgICAgPGVudHR5cGRzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZv ciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2VudHR5cGRzPg0KICAg ICAgPC9lbnR0eXA+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkhVRGlnaXQ8L2F0 dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5IVURpZ2l0IGlzIGEgZG9tYWluLWJhc2VkIGZpZWxk IHRoYXQgaW5kaWNhdGVzIHRoZSBtaW5pbXVtIG51bWJlciBvZiBkaWdpdHMgdXNlZCB0byByZXBy ZXNlbnQgdGhlIGh5ZHJvbG9naWMgdW5pdCBib3VuZGVkIGJ5IHRoZSBsaW5lLjwvYXR0cmRlZj4N CiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0 aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2F0dHJkZWZzPg0K ICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAgICAgICAgICAgPGNv ZGVzZXRuPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwg V2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2NvZGVzZXRuPg0KICAgICAgICAgICAg PGNvZGVzZXRzPlNlY3Rpb24gNjogR2Vvc3BhdGlhbCBEYXRhIFN0cnVjdHVyZSBhbmQgQXR0cmli dXRlcyAoaHR0cDovL3B1YnMudXNncy5nb3YvdG0vMTEvYTMvKTwvY29kZXNldHM+DQogICAgICAg ICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAg IDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+SFVNb2Q8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0 cmRlZj5Ud28tY2hhcmFjdGVyLCB1cHBlcmNhc2UgYWJicmV2aWF0aW9uIHVzZWQgdG8gdHJhY2sg ZWl0aGVyIGEgbW9kaWZpY2F0aW9uIHRvIG5hdHVyYWwgb3ZlcmxhbmQgZmxvdyB0aGF0IGFsdGVy cyB0aGUgbG9jYXRpb24gb2YgdGhlIGh5ZHJvbG9naWMgdW5pdCBib3VuZGFyeSBvciBzcGVjaWFs IGNvbmRpdGlvbnMgdGhhdCBhcmUgYXBwbGllZCB0byBhIHNwZWNpZmljIGJvdW5kYXJ5IGxpbmUg c2VnbWVudC4gVGhlIHZhbHVlIGlkZW50aWZpZXMgdGhlIHR5cGUgb2YgbW9kaWZpY2F0aW9uLCBm cm9tIHRoZSBsaXN0IHByb3ZpZGVkLCB0aGF0IGhhcyBiZWVuIGFwcGxpZWQgdG8gdGhlIGJvdW5k YXJ5IHNlZ21lbnQuIElmIG1vcmUgdGhhbiBvbmUgYWJicmV2aWF0aW9uIGlzIHVzZWQsIHRoZSBs aXN0IGlzIHNlcGFyYXRlZCBieSBjb21tYXMgd2l0aG91dCBzcGFjZXMgYW5kIG9yZ2FuaXplZCBm cm9tIG1vc3QgdG8gbGVhc3QgcHJlZG9taW5hbnQuDQo8L2F0dHJkZWY+DQogICAgICAgIDxhdHRy ZGVmcz5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdh dGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0IChXQkQpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJk b212Pg0KICAgICAgICAgIDxjb2Rlc2V0ZD4NCiAgICAgICAgICAgIDxjb2Rlc2V0bj5GZWRlcmFs IFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3Vu ZGFyeSBEYXRhc2V0IChXQkQpPC9jb2Rlc2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz5TZWN0 aW9uIDY6IEdlb3NwYXRpYWwgRGF0YSBTdHJ1Y3R1cmUgYW5kIEF0dHJpYnV0ZXMgKGh0dHA6Ly9w dWJzLnVzZ3MuZ292L3RtLzExL2EzLyk8L2NvZGVzZXRzPg0KICAgICAgICAgIDwvY29kZXNldGQ+ DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAg ICAgPGF0dHJsYWJsPkxpbmVTb3VyY2U8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5MaW5l U291cmNlIHJlcHJlc2VudHMgdGhlIGNvZGUgZm9yIHRoZSBiYXNlIGRhdGEgdXNlZCBmb3IgZGVs aW5lYXRpbmcgaHlkcm9sb2dpYyB1bml0IGJvdW5kYXJpZXMuDQoJSWYgbW9yZSB0aGFuIG9uZSBj b2RlIGlzIHVzZWQsdGhlbiB0aGUgbGlzdCBpcyBzZXBhcmF0ZWQgYnkgYSBjb21tYSB3aXRoIG5v IHNwYWNlcyB3aXRoIHRoZSBtb3N0IHJlY2VudCBMaW5lU291cmNlIGxpc3RlZCBmaXJzdCBpbiB0 aGUgc2VxdWVuY2UuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFy ZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0 YXNldCAoV0JEKTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8Y29k ZXNldGQ+DQogICAgICAgICAgICA8Y29kZXNldG4+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2Nl ZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwv Y29kZXNldG4+DQogICAgICAgICAgICA8Y29kZXNldHM+U2VjdGlvbiA2OiBHZW9zcGF0aWFsIERh dGEgU3RydWN0dXJlIGFuZCBBdHRyaWJ1dGVzIChodHRwOi8vcHVicy51c2dzLmdvdi90bS8xMS9h My8pPC9jb2Rlc2V0cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJkb212 Pg0KICAgICAgPC9hdHRyPg0KICAgIDwvZGV0YWlsZWQ+DQogICAgPGRldGFpbGVkPg0KICAgICAg PGVudHR5cD4NCiAgICAgICAgPGVudHR5cGw+TldJU0RyYWluYWdlQXJlYTwvZW50dHlwbD4NCiAg ICAgICAgPGVudHR5cGQ+UG9seWdvbiBmZWF0dXJlcyByZXByZXNlbnRpbmcgUFJPVklTSU9OQUwg Y29udHJpYnV0aW5nIGRyYWluYWdlIGFyZWEgZm9yIHNlbGVjdCBnYWdlIGxvY2F0aW9ucyBpbiB0 aGUgVS5TLiBHZW9sb2dpY2FsIFN1cnZleSBOYXRpb25hbCBXYXRlciBJbmZvcm1hdGlvbiBTeXN0 ZW0NCjwvZW50dHlwZD4NCiAgICAgICAgPGVudHR5cGRzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQ cm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2Vu dHR5cGRzPg0KICAgICAgPC9lbnR0eXA+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJs PkFyZWFTcUttPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+QXJlYSBvZiB0aGUgZ2FnZWQg d2F0ZXJzaGVkPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFyZHMg YW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNl dCAoV0JEKTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5D YWxjdWxhdGVkIHBvbHlnb24gYXJlYSwgc3F1YXJlIGtpbG9tZXRlcnM8L3Vkb20+DQogICAgICAg IDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJs YWJsPkFnZW5jeUNvZGU8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5TaXRlIEFnZW5jeSBj b2RlPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBHZW9sb2dpY2FsIFN1cnZleSBO YXRpb25hbCBXYXRlciBJbmZvcm1hdGlvbiBTeXN0ZW08L2F0dHJkZWZzPg0KICAgICAgICA8YXR0 cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAgICAgICAgICAgPGNvZGVzZXRuPlUuUy4g R2VvbG9naWNhbCBTdXJ2ZXkgTmF0aW9uYWwgV2F0ZXIgSW5mb3JtYXRpb24gU3lzdGVtPC9jb2Rl c2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz4gaHR0cDovL2hlbHAud2F0ZXJkYXRhLnVzZ3Mu Z292LzwvY29kZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9t dj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U2l0ZU51 bWJlcjwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlUuUy4gR2VvbG9naWNhbCBTdXJ2ZXkg dW5pcXVlIHNpdGUgaWRlbnRpZmllcjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPlUuUy4g R2VvbG9naWNhbCBTdXJ2ZXkgTmF0aW9uYWwgV2F0ZXIgSW5mb3JtYXRpb24gU3lzdGVtPC9hdHRy ZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlVuaXF1ZSBjb2RlIGlk ZW50aWZ5aW5nIGEgbWVhc3VyZW1lbnQgc2l0ZSBpbiB0aGUgTmF0aW9uYWwgV2F0ZXIgSW5mb3Jt YXRpb24gU3lzdGVtIGRhdGFiYXNlPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAg PC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TdGF0aW9uTmFtZTwvYXR0 cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlNpdGUgTmFtZTwvYXR0cmRlZj4NCiAgICAgICAgPGF0 dHJkZWZzPlUuUy4gR2VvbG9naWNhbCBTdXJ2ZXkgTmF0aW9uYWwgV2F0ZXIgSW5mb3JtYXRpb24g U3lzdGVtPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPkNv bW1vbiBuYW1lIGFzc29jaWF0ZWQgd2l0aCBzaXRlIGluIHRoZSBOYXRpb25hbCBXYXRlciBJbmZv cm1hdGlvbiBTeXN0ZW0gZGF0YWJhc2U8L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAg ICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPlRvdGFsQXJlYVNxTWk8 L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5Ub3RhbCBkcmFpbmFnZSBhcmVhPC9hdHRyZGVm Pg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9y IHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldDwvYXR0cmRlZnM+DQogICAg ICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5Ub3RhbCBhcmVhIG9mIHRoZSBwb2x5Z29u LCBzcXVhcmUgbWlsZXM8L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+ DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPk5XSVNUb3RhbEFyZWFTcU1pPC9hdHRy bGFibD4NCiAgICAgICAgPGF0dHJkZWY+VG90YWwgZHJhaW5hZ2UgYXJlYSByZXBvcnRlZCBpbiBV LlMuIEdlb2xvZ2ljYWwgU3VydmV5IE5hdGlvbmFsIFdhdGVyIEluZm9ybWF0aW9uIFN5c3RlbTwv YXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPlUuUy4gR2VvbG9naWNhbCBTdXJ2ZXkgTmF0aW9u YWwgV2F0ZXIgSW5mb3JtYXRpb24gU3lzdGVtPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212 Pg0KICAgICAgICAgIDx1ZG9tPlRvdGFsIGFyZWEgaW4gc3F1YXJlIG1pbGVzPC91ZG9tPg0KICAg ICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxh dHRybGFibD5Db250cmlidXRpbmdBcmVhU3FNaTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVm PlRvdGFsIGNvbnRyaWJ1dGluZyBkcmFpbmFnZSBhcmVhLCBzcXVhcmUgbWlsZXM8L2F0dHJkZWY+ DQogICAgICAgIDxhdHRyZGVmcz5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3Ig dGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0PC9hdHRyZGVmcz4NCiAgICAg ICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlRvdGFsIGNvbnRyaWJ1dGluZyBhcmVhLCBz cXVhcmUgbWlsZXM8L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQog ICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPk5XSVNDb250cmlidXRpbmdBcmVhU3FNaTwv YXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkNvbnRyaWJ1dGluZyBkcmFpbmFnZSBhcmVhIHJl cG9ydGVkIGluIFUuUy4gR2VvbG9naWNhbCBTdXJ2ZXkgTmF0aW9uYWwgV2F0ZXIgSW5mb3JtYXRp b24gU3lzdGVtPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBHZW9sb2dpY2FsIFN1 cnZleSBOYXRpb25hbCBXYXRlciBJbmZvcm1hdGlvbiBTeXN0ZW08L2F0dHJkZWZzPg0KICAgICAg ICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+VG90YWwgY29udHJpYnV0aW5nIGFyZWEsIHNx dWFyZSBtaWxlczwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAg ICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+UmVmZXJlbmNlVE5NSUROSERQb2ludEV2ZW50 PC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VW5pcXVlIGlkZW50aWZpZXIgZm9yIE5IRCBw b2ludCBldmVudCByZXByZXNlbnRpbmcgZ2FnZTwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZz PkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJz aGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAg ICAgICAgPHVkb20+VW5pcXVlIGlkZW50aWZpZXIgdGhhdCBpcyBhdXRvbWF0aWNhbGx5IGdlbmVy YXRlZDwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxh dHRyPg0KICAgICAgICA8YXR0cmxhYmw+UmVtYXJrczwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRy ZGVmPlJlbWFya3M8L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5GZWRlcmFsIFN0YW5kYXJk cyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRh c2V0PC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPkZyZWUg dGV4dCBob2xkaW5nIHJlbWFya3MgZnJvbSByZXZpZXdlcnMgYW5kL29yIGRhdGFzZXQgb3JpZ2lu YXRvcjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICA8L2Rl dGFpbGVkPg0KICAgIDxkZXRhaWxlZD4NCiAgICAgIDxlbnR0eXA+DQogICAgICAgIDxlbnR0eXBs Pk5XSVNEcmFpbmFnZUxpbmU8L2VudHR5cGw+DQogICAgICAgIDxlbnR0eXBkPkxpbmUgZmVhdHVy ZXMgcmVwcmVzZW50aW5nIHRoZSBib3VuZGFyeSBvZiB0aGUgY29udHJpYnV0aW5nIGdhZ2VkIGRy YWluYWdlIGFyZWE8L2VudHR5cGQ+DQogICAgICAgIDxlbnR0eXBkcz5GZWRlcmFsIFN0YW5kYXJk cyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRh c2V0PC9lbnR0eXBkcz4NCiAgICAgIDwvZW50dHlwPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxh dHRybGFibD5MZW5ndGhLbTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkxlbmd0aCBvZiB0 aGUgbGluZTwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFu ZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8 L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+Q2FsY3VsYXRl ZCBsaW5lIGxlbmd0aCwga2lsb21ldGVyczwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAg ICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+TGluZVNvdXJjZTwv YXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkNvZGUgaWRlbnRpZnlpbmcgdGhlIGJhc2UgZGF0 YSB1c2VkIGZvciBkZWxpbmVhdGluZyBoeWRyb2xvZ2ljIHVuaXQgYm91bmRhcmllczwvYXR0cmRl Zj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZv ciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2F0dHJkZWZzPg0KICAg ICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAgICAgICAgICAgPGNvZGVz ZXRuPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0 ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2NvZGVzZXRuPg0KICAgICAgICAgICAgPGNv ZGVzZXRzPlNlY3Rpb24gNjogR2Vvc3BhdGlhbCBEYXRhIFN0cnVjdHVyZSBhbmQgQXR0cmlidXRl cyAoaHR0cDovL3B1YnMudXNncy5nb3YvdG0vMTEvYTMvKTwvY29kZXNldHM+DQogICAgICAgICAg PC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxh dHRyPg0KICAgICAgICA8YXR0cmxhYmw+QWdlbmN5Q29kZTwvYXR0cmxhYmw+DQogICAgICAgIDxh dHRyZGVmPlNpdGUgQWdlbmN5IGNvZGU8L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5VLlMu IEdlb2xvZ2ljYWwgU3VydmV5IE5hdGlvbmFsIFdhdGVyIEluZm9ybWF0aW9uIFN5c3RlbTwvYXR0 cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8Y29kZXNldGQ+DQogICAgICAg ICAgICA8Y29kZXNldG4+VS5TLiBHZW9sb2dpY2FsIFN1cnZleSBOYXRpb25hbCBXYXRlciBJbmZv cm1hdGlvbiBTeXN0ZW08L2NvZGVzZXRuPg0KICAgICAgICAgICAgPGNvZGVzZXRzPiBodHRwOi8v aGVscC53YXRlcmRhdGEudXNncy5nb3YvPC9jb2Rlc2V0cz4NCiAgICAgICAgICA8L2NvZGVzZXRk Pg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibD5TaXRlTnVtYmVyPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VS5T LiBHZW9sb2dpY2FsIFN1cnZleSB1bmlxdWUgc2l0ZSBpZGVudGlmaWVyPC9hdHRyZGVmPg0KICAg ICAgICA8YXR0cmRlZnM+VS5TLiBHZW9sb2dpY2FsIFN1cnZleSBOYXRpb25hbCBXYXRlciBJbmZv cm1hdGlvbiBTeXN0ZW08L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAg PHVkb20+VW5pcXVlIGNvZGUgaWRlbnRpZnlpbmcgYSBtZWFzdXJlbWVudCBzaXRlIGluIHRoZSBO YXRpb25hbCBXYXRlciBJbmZvcm1hdGlvbiBTeXN0ZW0gZGF0YWJhc2U8L3Vkb20+DQogICAgICAg IDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgPC9kZXRhaWxlZD4NCiAgICA8ZGV0YWls ZWQ+DQogICAgICA8ZW50dHlwPg0KICAgICAgICA8ZW50dHlwbD5XQkRMaW5lLCBXQkRIVTIsIFdC REhVNCwgV0JESFU2LCBXQkRIVTgsIFdCREhVMTAsIFdCREhVMTIsIFdCREhVMTQsIFdCREhVMTYs IE5XSVNEcmFpbmFnZUFyZWEsIE5XSVNEcmFpbmFnZUxpbmUsIE5vbkNvbnRyaWJ1dGluZ0RyYWlu YWdlQXJlYSwgTm9uQ29udHJpYnV0aW5nRHJhaW5hZ2VMaW5lPC9lbnR0eXBsPg0KICAgICAgICA8 ZW50dHlwZD5UaGUgZm9sbG93aW5nIGF0dHJpYnV0ZSBmaWVsZHMgYXJlIGNvbW1vbiB0byBhbGwg ZmVhdHVyZSBjbGFzc2VzIHdpdGhpbiB0aGUgV0JEIDwvZW50dHlwZD4NCiAgICAgICAgPGVudHR5 cGRzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0 ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2VudHR5cGRzPg0KICAgICAgPC9lbnR0eXA+DQogICAg ICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPk9CSkVDVElEPC9hdHRybGFibD4NCiAgICAgICAg PGF0dHJkZWY+SW50ZXJuYWwgZmVhdHVyZSBudW1iZXIuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0 cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRv bT5TZXF1ZW50aWFsIHVuaXF1ZSB3aG9sZSBudW1iZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkg Z2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAg ICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U2hhcGU8L2F0dHJsYWJsPg0KICAgICAgICA8 YXR0cmRlZj5GZWF0dXJlIGdlb21ldHJ5LjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVT Ukk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+Q29vcmRp bmF0ZXMgZGVmaW5pbmcgdGhlIGZlYXR1cmVzLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4N CiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+VE5NSUQ8L2F0 dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5UTk1JRCAoc2hvcnQgZm9yIFRoZSBOYXRpb25hbCBN YXAgSWRlbnRpZmljYXRpb24pIGlzIGEgdW5pcXVlIDQwLWNoYXJhY3RlciBmaWVsZCB0aGF0IGlk ZW50aWZpZXMgZWFjaCBlbGVtZW50IGluIHRoZSBkYXRhYmFzZSBleGNsdXNpdmVseS48L2F0dHJk ZWY+DQogICAgICAgIDxhdHRyZGVmcz5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBm b3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0IChXQkQpPC9hdHRyZGVm cz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlROTUlEIGlzIGFuIGF1dG9t YXRpY2FsbHkgYXNzaWduZWQgY29kZSB0aGF0IHN0YXlzIHdpdGggZWFjaCBlbGVtZW50LiBXaGVu IGFuIGVsZW1lbnQgaXMgdXBkYXRlZCBvciBjaGFuZ2VkLCBUTk1JRCBsaW5rcyB0aGUgZWxlbWVu dCB0byB0aGUgbWV0YWRhdGEgcmVjb3JkIGFuZCBkb2N1bWVudHMgdGhlIGNoYW5nZS4gVE5NSUQg aXMgYWxzbyB1c2VkIHRvIG1haW50YWluIHJlbGF0aW9uc2hpcCBjbGFzc2VzIGluIHRoZSBub3Jt YWxpemVkIGRhdGEgbW9kZWwuIFdoZW4gYW4gZWxlbWVudCBpcyBkZWxldGVkIG9yIHNwbGl0LCBU Tk1JRCBzdGF5cyB3aXRoIHRoZSBvcmlnaW5hbCBlbGVtZW50IGFuZCBpcyBub3QgdXNlZCBhZ2Fp bi4gV2hlbiBhbiBlbGVtZW50IGlzIHNwbGl0LCBuZXcgcGVybWFuZW50IGlkZW50aWZpZXJzIGFy ZSBhc3NpZ25lZCB0byB0aGUgcmVzdWx0YW50IHBhcnRzLjwvdWRvbT4NCiAgICAgICAgPC9hdHRy ZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+TWV0 YVNvdXJjZUlEPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+TWV0YVNvdXJjZUlEIGlzIGEg dW5pcXVlIGlkZW50aWZpZXIgdGhhdCBsaW5rcyB0aGUgZWxlbWVudCB0byB0aGUgbWV0YWRhdGEg dGFibGVzLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFu ZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQg KFdCRCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+TWV0 YVNvdXJjZUlEIGlzIGEgdW5pcXVlIGlkZW50aWZpZXIgdGhhdCBsaW5rcyB0aGUgZWxlbWVudCB0 byB0aGUgbWV0YWRhdGEgdGFibGVzLiBUaGlzIElEIGlzIGdlbmVyYXRlZCBhbmQgYXNzaWduZWQg YXV0b21hdGljYWxseSBieSB0aGUgZGF0YWJhc2UgYW5kIHJlbWFpbnMgd2l0aCB0aGUgb2JqZWN0 IHBlcm1hbmVudGx5LjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4N CiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U291cmNlRGF0YURlc2M8L2F0dHJsYWJs Pg0KICAgICAgICA8YXR0cmRlZj5Tb3VyY2VEYXRhRGVzYyBpcyBhIHNwYWNlIHByb3ZpZGVkIGZv ciBhIGJyaWVmIGRlc2NyaXB0aW9uIG9mIHRoZSB0eXBlIG9mIGJhc2UgZGF0YSB1c2VkIHRvIHVw ZGF0ZSBvciBjaGFuZ2UgdGhlIGN1cnJlbnQgV0JELjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJk ZWZzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0 ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRv bXY+DQogICAgICAgICAgPHVkb20+VGhlIFdCRCBJbi1TdGF0ZSBTdGV3YXJkIGNvbXBsZXRlcyB0 aGlzIGZpZWxkIGFzIHBhcnQgb2YgdGhlIG1ldGFkYXRhIGZvcm0uPC91ZG9tPg0KICAgICAgICA8 L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFi bD5Tb3VyY2VPcmlnaW5hdG9yPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+U291cmNlT3Jp Z2luYXRvciBpcyB0aGUgZGVzY3JpcHRpb24gb2YgdGhlIGFnZW5jeSB0aGF0IGNyZWF0ZWQgdGhl IGJhc2UgZGF0YSB1c2VkIHRvIGltcHJvdmUgdGhlIFdCRC48L2F0dHJkZWY+DQogICAgICAgIDxh dHRyZGVmcz5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFs IFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0IChXQkQpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0 dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlRoZSBXQkQgSW4tU3RhdGUgU3Rld2FyZCBjb21wbGV0 ZXMgdGhpcyBmaWVsZCBhcyBwYXJ0IG9mIHRoZSBtZXRhZGF0YSBmb3JtPC91ZG9tPg0KICAgICAg ICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRy bGFibD5Tb3VyY2VGZWF0dXJlSUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5Tb3VyY2VG ZWF0dXJlSUQgaXMgYSBsb25nLCB1bmlxdWUgY29kZS48L2F0dHJkZWY+DQogICAgICAgIDxhdHRy ZGVmcz5GZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdh dGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0IChXQkQpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJk b212Pg0KICAgICAgICAgIDx1ZG9tPlRoaXMgY29kZSBpZGVudGlmaWVzIHRoZSBwYXJlbnQgb2Yg dGhlIGZlYXR1cmUgaWYgdGhlIGZlYXR1cmUgaXMgdGhlIHJlc3VsdCBvZiBhIHNwbGl0IG9yIG1l cmdlLCBhbmQgaXQgaXMgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQgYW5kIGFzc2lnbmVkLjwvdWRv bT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAg ICAgICA8YXR0cmxhYmw+TG9hZERhdGU8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5Mb2Fk RGF0ZSByZXByZXNlbnRzIHRoZSBkYXRlIHdoZW4gdGhlIGRhdGEgd2VyZSBsb2FkZWQgaW50byB0 aGUgb2ZmaWNpYWwgVVNHUyBXQkQgQXJjU0RFIGRhdGFiYXNlLiBUaGUgZmllbGQgaXMgdGhlIGVm ZmVjdGl2ZSBkYXRlIGZvciBhbGwgZmVhdHVyZSBlZGl0cywgYW5kIGl0IGlzIGF1dG9tYXRpY2Fs bHkgZ2VuZXJhdGVkLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwgU3RhbmRh cmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERh dGFzZXQgKFdCRCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHJk b20+DQogICAgICAgICAgICA8cmRvbW1pbj4xMjowMDowMCBBTTwvcmRvbW1pbj4NCiAgICAgICAg ICAgIDxyZG9tbWF4PjUvMjIvMjAxNSA5OjE4OjU0IEFNPC9yZG9tbWF4Pg0KICAgICAgICAgIDwv cmRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0K ICAgICAgICA8YXR0cmxhYmw+U0hBUEVfTGVuZ3RoPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJk ZWY+TGVuZ3RoIG9mIGZlYXR1cmUgaW4gaW50ZXJuYWwgdW5pdHMuPC9hdHRyZGVmPg0KICAgICAg ICA8YXR0cmRlZnM+RXNyaTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAg ICA8cmRvbT4NCiAgICAgICAgICAgIDxyZG9tbWluPjAuMDA5Njk2NjgxMzU2MjA0NDI8L3Jkb21t aW4+DQogICAgICAgICAgICA8cmRvbW1heD4xNTYuMTA2Mzk0ODkzNTY0PC9yZG9tbWF4Pg0KICAg ICAgICAgIDwvcmRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICA8 L2RldGFpbGVkPg0KICAgIDxkZXRhaWxlZD4NCiAgICAgIDxlbnR0eXA+DQogICAgICAgIDxlbnR0 eXBsPldCREhVMiwgV0JESFU0LCBXQkRIVTYsIFdCREhVOCwgV0JESFUxMCwgV0JESFUxMiwgV0JE SFUxNCwgV0JESFUxNiwgTldJU0RyYWluYWdlQXJlYSwgTm9uQ29udHJpYnV0aW5nRHJhaW5hZ2VB cmVhPC9lbnR0eXBsPg0KICAgICAgICA8ZW50dHlwZD5UaGUgZm9sbG93aW5nIGF0dHJpYnV0ZSBm aWVsZCBpcyBjb21tb24gdG8gYWxsIHBvbHlnb24gZmVhdHVyZSBjbGFzc2VzIHdpdGhpbiB0aGUg V0JEIDwvZW50dHlwZD4NCiAgICAgICAgPGVudHR5cGRzPkZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQ cm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQ8L2Vu dHR5cGRzPg0KICAgICAgPC9lbnR0eXA+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJs PlNoYXBlX0FyZWE8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5BcmVhIG9mIGZlYXR1cmUg aW4gaW50ZXJuYWwgdW5pdHMgc3F1YXJlZC48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5F c3JpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDxyZG9tPg0KICAg ICAgICAgICAgPHJkb21taW4+MS40ODc3NjM1MTc5MzM5RS0wNjwvcmRvbW1pbj4NCiAgICAgICAg ICAgIDxyZG9tbWF4PjkuNzkyOTkzMTAyMjk4MDg8L3Jkb21tYXg+DQogICAgICAgICAgPC9yZG9t Pg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgIDwvZGV0YWlsZWQ+DQog ICAgPGRldGFpbGVkPg0KICAgICAgPGVudHR5cD4NCiAgICAgICAgPGVudHR5cGw+V0JESFUyLCBX QkRIVTQsIFdCREhVNiwgV0JESFU4LCBXQkRIVTEwLCBXQkRIVTEyLCBXQkRIVTE0LCBXQkRIVTE2 PC9lbnR0eXBsPg0KICAgICAgICA8ZW50dHlwZD5UaGUgZm9sbG93aW5nIGF0dHJpYnV0ZSBmaWVs ZHMgYXJlIGNvbW1vbiB0byB0aGUgV0JEIGh5ZHJvbG9naWMgdW5pdCBwb2x5Z29uIGRhdGFzZXRz PC9lbnR0eXBkPg0KICAgICAgICA8ZW50dHlwZHM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2Nl ZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldDwvZW50dHlw ZHM+DQogICAgICA8L2VudHR5cD4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+R05J U19JRDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkdOSVNfSUQgaXMgYSBwcmVhc3NpZ25l ZCBudW1lcmljIGZpZWxkIHRoYXQgdXNlcyBhIHVuaXF1ZSBudW1iZXIgdG8gcmVsYXRlIHRoZSBu YW1lIG9mIHRoZSBoeWRyb2xvZ2ljIHVuaXQgdG8gdGhlIEdOSVMgbmFtZXMgZGF0YWJhc2UuPC9h dHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVy ZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwvYXR0 cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8Y29kZXNldGQ+DQogICAgICAg ICAgICA8Y29kZXNldG4+R2VvZ3JhcGhpYyBOYW1lcyBJbmZvcm1hdGlvbiBTeXN0ZW0gKEdOSVMp PC9jb2Rlc2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz5HTklTIChodHRwOi8vZ25pcy51c2dz Lmdvdi8pPC9jb2Rlc2V0cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJk b212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5BcmVh QWNyZXM8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5UaGUgYXJlYSBvZiBlYWNoIGh5ZHJv bG9naWMgdW5pdCBpbmNsdWRpbmcgbm9uLWNvbnRyaWJ1dGluZyBhcmVhcyBzdG9yZWQgaW4gYWNy ZXMNCkFyZWFBY3JlcyBpcyBjb21tb24gdG8gYWxsIHBvbHlnb24gZmVhdHVyZSBjbGFzc2VzIGFu ZCBpcyBjYWxjdWxhdGVkIGF0IHRoZSAxMi1kaWdpdCBoeWRyb2xvZ2ljIHVuaXQgZnJvbSB0aGUg aW50cmluc2ljIGFyZWEgdmFsdWUgbWFpbnRhaW5lZCBieSB0aGUgR0lTIHNvZnR3YXJlOyB0aGVy ZWZvcmUsIGFjcmVhZ2UgdmFsdWVzIG1heSB2YXJ5IGZyb20gdXNlciBjYWxjdWxhdGlvbnMsIGRl cGVuZGluZyBvbiB0aGUgcHJvamVjdGlvbiBvZiB0aGUgZGF0YS4gTm9ydGggQW1lcmljYW4gQWxi ZXJzIEVxdWFsIEFyZWEgQ29uaWMsIE5vcnRoIEFtZXJpY2FuIERhdHVtIDE5ODMgaXMgdGhlIHJl cXVpcmVkIHByb2plY3Rpb24gdG8gdXNlIGZvciBjYWxjdWxhdGlvbi4gSWYgdGhlIHVuaXRzIG9m IHRoZSBhcmVhIGZpZWxkIGFyZSBzdG9yZWQgaW4gc3F1YXJlIG1ldGVycywgdGhlbiB1c2UgdGhl IGNvbnZlcnNpb24gZmFjdG9yIDAuMDAwMjQ3MS4gRm9yIGV4YW1wbGUsIDQwLDQ2OSw0NDYgc3F1 YXJlIG1ldGVycyBtdWx0aXBsaWVkIGJ5IDAuMDAwMjQ3MSA9MTAsMDAwIGFjcmVzPC9hdHRyZGVm Pg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9y IHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwvYXR0cmRlZnM+ DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8cmRvbT4NCiAgICAgICAgICAgIDxyZG9t bWluPjA8L3Jkb21taW4+DQogICAgICAgICAgICA8cmRvbW1heD41MDAwMDAwMDwvcmRvbW1heD4N CiAgICAgICAgICAgIDxhdHRydW5pdD5hY3JlczwvYXR0cnVuaXQ+DQogICAgICAgICAgPC9yZG9t Pg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibD5BcmVhU3FLbTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRoZSBh cmVhIG9mIGVhY2ggaHlkcm9sb2dpYyB1bml0IGluY2x1ZGluZyBub24tY29udHJpYnV0aW5nIGFy ZWFzIHN0b3JlZCBpbiBzcXVhcmUga2lsb21ldGVycy4NCkFyZWFTcUttIGlzIGNhbGN1bGF0ZWQg YXQgdGhlIDEyLWRpZ2l0IGh5ZHJvbG9naWMgdW5pdCBmcm9tIHRoZSBpbnRyaW5zaWMgYXJlYSB2 YWx1ZSBtYWludGFpbmVkIGJ5IHRoZSBHSVMgc29mdHdhcmU7IHRoZXJlZm9yZSwgdGhlIHNxdWFy ZSBraWxvbWV0ZXIgdmFsdWVzIG1heSB2YXJ5IGZyb20gdXNlciBjYWxjdWxhdGlvbnMsIGRlcGVu ZGluZyBvbiB0aGUgcHJvamVjdGlvbiBvZiB0aGUgZGF0YS4gTm9ydGggQW1lcmljYW4gQWxiZXJz IEVxdWFsIEFyZWEgQ29uaWMsIE5vcnRoIEFtZXJpY2FuIERhdHVtIDE5ODMgaXMgdGhlIGRlZmF1 bHQgcHJvamVjdGlvbi48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5GZWRlcmFsIFN0YW5k YXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFyeSBE YXRhc2V0IChXQkQpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDxy ZG9tPg0KICAgICAgICAgICAgPHJkb21taW4+MDwvcmRvbW1pbj4NCiAgICAgICAgICAgIDxyZG9t bWF4PjEwMDAwMDwvcmRvbW1heD4NCiAgICAgICAgICAgIDxhdHRydW5pdD5zcXVhcmUga2lsb21l dGVyczwvYXR0cnVuaXQ+DQogICAgICAgICAgPC9yZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0K ICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TdGF0ZXM8L2F0 dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5UaGUgU3RhdGVzIG9yIG91dGx5aW5nIGFyZWEgYXR0 cmlidXRlIGlkZW50aWZpZXMgdGhlIFN0YXRlKHMpIG9yIG91dGx5aW5nIGFyZWFzIHRoYXQgdGhl IGh5ZHJvbG9naWMgdW5pdCBmYWxscyB3aXRoaW4gb3IgdG91Y2hlcy4gV2lsbCBiZSBwb3B1bGF0 ZWQgd2l0aCB0aGUgMiBjaGFyYWN0ZXIgc3RhdGUgYWJicmV2aWF0aW9uIG9yIG91dGx5aW5nIGFy ZWEgYXR0cmlidXRlIGZvciBlYWNoIGFyZWEgdGhhdCB0aGUgdW5pdCBmYWxscyB3aXRoaW4gaW4g YWxwaGFiZXRpY2FsIG9yZGVyLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwg U3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5k YXJ5IERhdGFzZXQgKFdCRCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAg ICAgPGNvZGVzZXRkPg0KICAgICAgICAgICAgPGNvZGVzZXRuPkZlZGVyYWwgU3RhbmRhcmRzIGFu ZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQg KFdCRCk8L2NvZGVzZXRuPg0KICAgICAgICAgICAgPGNvZGVzZXRzPlNlY3Rpb24gNjogR2Vvc3Bh dGlhbCBEYXRhIFN0cnVjdHVyZSBhbmQgQXR0cmlidXRlcyBodHRwOi8vcHVicy51c2dzLmdvdi90 bS8xMS9hMy8pPC9jb2Rlc2V0cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0 dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5O YW1lPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+TmFtZSByZWZlcnMgdG8gdGhlIEdOSVMg bmFtZSBmb3IgdGhlIGdlb2dyYXBoaWMgYXJlYSBpbiB3aGljaCB0aGUgaHlkcm9sb2dpYyB1bml0 IGlzIGxvY2F0ZWQuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFy ZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0 YXNldCAoV0JEKTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8Y29k ZXNldGQ+DQogICAgICAgICAgICA8Y29kZXNldG4+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2Nl ZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwv Y29kZXNldG4+DQogICAgICAgICAgICA8Y29kZXNldHM+U2VjdGlvbiA2OiBHZW9zcGF0aWFsIERh dGEgU3RydWN0dXJlIGFuZCBBdHRyaWJ1dGVzIChodHRwOi8vcHVicy51c2dzLmdvdi90bS8xMS9h My8pPC9jb2Rlc2V0cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJkb212 Pg0KICAgICAgPC9hdHRyPg0KICAgIDwvZGV0YWlsZWQ+DQogICAgPGRldGFpbGVkPg0KICAgICAg PGVudHR5cD4NCiAgICAgICAgPGVudHR5cGw+V0JESFUxMCwgV0JESFUxMiwgV0JESFUxNCwgV0JE SFUxNjwvZW50dHlwbD4NCiAgICAgICAgPGVudHR5cGQ+VGhlIGZvbGxvd2luZyBhdHRyaWJ1dGUg ZmllbGRzIGFyZSBjb21tb24gdG8gdGhlIDEwLWRpZ2l0LCAxMi1kaWdpdCwgMTQtZGlnaXQgYW5k IDE2LWRpZ2l0IFdCRCBwb2x5Z29uIGRhdGFzZXRzPC9lbnR0eXBkPg0KICAgICAgICA8ZW50dHlw ZHM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRl cnNoZWQgQm91bmRhcnkgRGF0YXNldDwvZW50dHlwZHM+DQogICAgICA8L2VudHR5cD4NCiAgICAg IDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+SFVUeXBlPC9hdHRybGFibD4NCiAgICAgICAgPGF0 dHJkZWY+VGhlIDEyLWRpZ2l0IGh5ZHJvbG9naWMgdW5pdCB0eXBlIGF0dHJpYnV0ZSBpcyB0aGUg c2luZ2xlLWxldHRlciBhYmJyZXZpYXRpb24gZm9yIFdhdGVyc2hlZCB0eXBlIGZyb20gdGhlIGxp c3Qgb2Ygb2ZmaWNpYWwgbmFtZXMgcHJvdmlkZWQgaW4gdGhlIFdCRCBTdGFuZGFyZHMuPC9hdHRy ZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMg Zm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwvYXR0cmRl ZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8Y29kZXNldGQ+DQogICAgICAgICAg ICA8Y29kZXNldG4+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRp b25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwvY29kZXNldG4+DQogICAgICAg ICAgICA8Y29kZXNldHM+U2VjdGlvbiA2OiBHZW9zcGF0aWFsIERhdGEgU3RydWN0dXJlIGFuZCBB dHRyaWJ1dGVzIChodHRwOi8vcHVicy51c2dzLmdvdi90bS8xMS9hMy8pPC9jb2Rlc2V0cz4NCiAg ICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0K ICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5IVU1vZDwvYXR0cmxhYmw+DQogICAgICAg IDxhdHRyZGVmPlRoZSBoeWRyb2xvZ2ljIHVuaXQgbW9kaWZpY2F0aW9uIGF0dHJpYnV0ZSBpcyBh IHR3by1jaGFyYWN0ZXIsIHVwcGVyY2FzZSBhYmJyZXZpYXRpb24ocykgZm9yIGVpdGhlciAoMSkg dGhlIHR5cGUgb2YgbW9kaWZpY2F0aW9uIHRvIG5hdHVyYWwgb3ZlcmxhbmQgZmxvdyB0aGF0IGFs dGVycyB0aGUgbmF0dXJhbCBkZWxpbmVhdGlvbiBvZiBhIGh5ZHJvbG9naWMgdW5pdCBvciAoMikg dGhlIHNwZWNpYWwgY29uZGl0aW9ucyBHRi1ncm91bmR3YXRlciBmbG93LCBHTC1nbGFjaWVyLCBJ Ri1pY2UgZmllbGQsIEtBLWthcnN0LCBhbmQgTkMtbm9uY29udHJpYnV0aW5nIGFyZWEuIFRoZSB2 YWx1ZSBvZiB0aGUgSFVNb2QgZmllbGQgaGVscHMgdG8gaW5kaWNhdGUgd2hlcmUgdGhlIG1vZGlm aWNhdGlvbiB0byB0aGUgaHlkcm9sb2dpYyB1bml0IGlzIGxvY2F0ZWQuIElmIG1vcmUgdGhhbiBv bmUgYWJicmV2aWF0aW9uIGlzIHVzZWQsIHRoZSB3aWxsIGJlIHNlcGFyYXRlZCBieSBjb21tYXMg d2l0aG91dCBzcGFjZXMgYW5kIGxpc3RlZCBmcm9tIG1vc3QgdG8gbGVhc3QgcHJlZG9taW5hbnQu PC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2Nl ZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwv YXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8Y29kZXNldGQ+DQogICAg ICAgICAgICA8Y29kZXNldG4+RmVkZXJhbCBTdGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRo ZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRhcnkgRGF0YXNldCAoV0JEKTwvY29kZXNldG4+DQog ICAgICAgICAgICA8Y29kZXNldHM+U2VjdGlvbiA2OiBHZW9zcGF0aWFsIERhdGEgU3RydWN0dXJl IGFuZCBBdHRyaWJ1dGVzIChodHRwOi8vcHVicy51c2dzLmdvdi90bS8xMS9hMy8pPC9jb2Rlc2V0 cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9h dHRyPg0KICAgIDwvZGV0YWlsZWQ+DQogICAgPGRldGFpbGVkPg0KICAgICAgPGVudHR5cD4NCiAg ICAgICAgPGVudHR5cGw+V0JESFUxMiwgV0JESFUxNCwgV0JESFUxNiwgTldJU0RyYWluYWdlQXJl YSBhbmQgTm9uQ29udHJpYnV0aW5nRHJhaW5hZ2VBcmVhPC9lbnR0eXBsPg0KICAgICAgICA8ZW50 dHlwZD5UaGUgZm9sbG93aW5nIGF0dHJpYnV0ZSBmaWVsZHMgYXJlIGNvbW1vbiB0byB0aGUgMTIt ZGlnaXQsIDE0LWRpZ2l0IGFuZCAxNi1kaWdpdCBXQkQgcG9seWdvbiBkYXRhc2V0cyBhcyB3ZWxs IGFzIHRoZSBOV0lTRHJhaW5hZ2VBcmVhLCBhbmQgTm9uQ29udHJpYnV0aW5nRHJhaW5hZ2VBcmVh IHBvbHlnb24gZGF0YXNldHM8L2VudHR5cGQ+DQogICAgICAgIDxlbnR0eXBkcz5GZWRlcmFsIFN0 YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFsIFdhdGVyc2hlZCBCb3VuZGFy eSBEYXRhc2V0PC9lbnR0eXBkcz4NCiAgICAgIDwvZW50dHlwPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibD5Ob25Db250cmlidXRpbmdBcmVhQWNyZXM8L2F0dHJsYWJsPg0KICAgICAg ICA8YXR0cmRlZj5UaGUgbm9uY29udHJpYnV0aW5nIGFyZWEgYXR0cmlidXRlIHJlcHJlc2VudHMg dGhlIGFyZWEsIGluIGFjcmVzLCBvZiBoeWRyb2xvZ2ljIHVuaXRzIHRoYXQgZG8gbm90IGNvbnRy aWJ1dGUgdG8gZG93bnN0cmVhbSBhY2N1bXVsYXRpb24gb2Ygc3RyZWFtZmxvdyB1bmRlciBub3Jt YWwgZmxvdyBjb25kaXRpb25zLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkZlZGVyYWwg U3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0aW9uYWwgV2F0ZXJzaGVkIEJvdW5k YXJ5IERhdGFzZXQgKFdCRCk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAg ICAgPHJkb20+DQogICAgICAgICAgICA8cmRvbW1pbj4wPC9yZG9tbWluPg0KICAgICAgICAgICAg PHJkb21tYXg+NTAwMDAwMDA8L3Jkb21tYXg+DQogICAgICAgICAgPC9yZG9tPg0KICAgICAgICA8 L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFi bD5Ob25Db250cmlidXRpbmdBcmVhU3FLbTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRo ZSBub25jb250cmlidXRpbmcgYXJlYSBhdHRyaWJ1dGUgcmVwcmVzZW50cyB0aGUgYXJlYSwgaW4g c3F1YXJlIGtpbG9tZXRlcnMsIG9mIGh5ZHJvbG9naWMgdW5pdHMgdGhhdCBkbyBub3QgY29udHJp YnV0ZSB0byBkb3duc3RyZWFtIGFjY3VtdWxhdGlvbiBvZiBzdHJlYW1mbG93IHVuZGVyIG5vcm1h bCBmbG93IGNvbmRpdGlvbnMuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RmVkZXJhbCBT dGFuZGFyZHMgYW5kIFByb2NlZHVyZXMgZm9yIHRoZSBOYXRpb25hbCBXYXRlcnNoZWQgQm91bmRh cnkgRGF0YXNldCAoV0JEKTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAg ICA8cmRvbT4NCiAgICAgICAgICAgIDxyZG9tbWluPjA8L3Jkb21taW4+DQogICAgICAgICAgICA8 cmRvbW1heD4xMDAwMDA8L3Jkb21tYXg+DQogICAgICAgICAgPC9yZG9tPg0KICAgICAgICA8L2F0 dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgIDwvZGV0YWlsZWQ+DQogICAgPG92ZXJ2aWV3Pg0K ICAgICAgPGVhb3Zlcj5UaGUgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgaXMgYSBjb21wcmVo ZW5zaXZlIHNldCBvZiBkaWdpdGFsIHNwYXRpYWwgZGF0YSB0aGF0IHJlcHJlc2VudHMgdGhlIHN1 cmZhY2UgZHJhaW5hZ2VzIGFyZWFzIG9mIHRoZSBVbml0ZWQgU3RhdGVzLiBUaGUgaW5mb3JtYXRp b24gaW5jbHVkZWQgd2l0aCB0aGUgZmVhdHVyZXMgaW5jbHVkZXMgYSBmZWF0dXJlIGRhdGUsIGEg dW5pcXVlIGNvbW1vbiBpZGVudGlmaWVyLCBuYW1lLCB0aGUgZmVhdHVyZSBsZW5ndGggb3IgYXJl YSwgYW5kIG90aGVyIGNoYXJhY3RlcmlzdGljcy4gTmFtZXMgYW5kIHRoZWlyIGlkZW50aWZpZXJz IGFyZSBhc3NpZ25lZCBmcm9tIHRoZSBHZW9ncmFwaGljIE5hbWVzIEluZm9ybWF0aW9uIFN5c3Rl bS4gVGhlIGRhdGEgYWxzbyBjb250YWlucyByZWxhdGlvbnMgdGhhdCBlbmNvZGUgbWV0YWRhdGEu IFRoZSBuYW1lcyBhbmQgZGVmaW5pdGlvbnMgb2YgYWxsIHRoZXNlIGZlYXR1cmUgYXR0cmlidXRl cyBhcmUgaW4gdGhlIEZlZGVyYWwgU3RhbmRhcmRzIGFuZCBQcm9jZWR1cmVzIGZvciB0aGUgTmF0 aW9uYWwgV2F0ZXJzaGVkIEJvdW5kYXJ5IERhdGFzZXQgKFdCRCkuIFRoZSBkb2N1bWVudCBpcyBh dmFpbGFibGUgb25saW5lIGF0IGh0dHA6Ly9wdWJzLnVzZ3MuZ292L3RtLzExL2EzLy48L2Vhb3Zl cj4NCiAgICAgIDxlYWRldGNpdD5UaGUgbmFtZXMgYW5kIGRlZmluaXRpb25zIG9mIGFsbCBmaWVs ZHMgd2l0aGluIHRoZSBXQkQgYXR0cmlidXRpb24gYXJlIGluIHRoZSBVLlMuIEdlb2xvZ2ljYWwg U3VydmV5LCBGZWRlcmFsIFN0YW5kYXJkcyBhbmQgUHJvY2VkdXJlcyBmb3IgdGhlIE5hdGlvbmFs IFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRhc2V0IChXQkQpLiBUaGUgZG9jdW1lbnQgaXMgYXZhaWxh YmxlIG9ubGluZSBhdCBodHRwOi8vcHVicy51c2dzLmdvdi90bS8xMS9hMy8uIEluZm9ybWF0aW9u IGFib3V0IHRoZSBhdHRyaWJ1dGUgdGFibGVzIGFuZCBmaWVsZHMgYXJlIGluIFNlY3Rpb24gNjog R2Vvc3BhdGlhbCBEYXRhIFN0cnVjdHVyZSBhbmQgQXR0cmlidXRlczwvZWFkZXRjaXQ+DQogICAg PC9vdmVydmlldz4NCiAgPC9lYWluZm8+DQogIDxkaXN0aW5mbz4NCiAgICA8ZGlzdHJpYj4NCiAg ICAgIDxjbnRpbmZvPg0KICAgICAgICA8Y250b3JncD4NCiAgICAgICAgICA8Y250b3JnPlUuUy4g R2VvbG9naWNhbCBTdXJ2ZXk8L2NudG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAgICAgICA8 Y250YWRkcj4NCiAgICAgICAgICA8YWRkcnR5cGU+TWFpbGluZzwvYWRkcnR5cGU+DQogICAgICAg ICAgPGFkZHJlc3M+VS5TLiBHZW9sb2dpY2FsIFN1cnZleSwgTmF0aW9uYWwgR2Vvc3BhdGlhbCBU ZWNobmljYWwgT3BlcmF0aW9ucyBDZW50ZXIsIFAuTy4gQm94IDI1MDQ2PC9hZGRyZXNzPg0KICAg ICAgICAgIDxjaXR5PkRlbnZlcjwvY2l0eT4NCiAgICAgICAgICA8c3RhdGU+Q088L3N0YXRlPg0K ICAgICAgICAgIDxwb3N0YWw+ODAyMjU8L3Bvc3RhbD4NCiAgICAgICAgPC9jbnRhZGRyPg0KICAg ICAgICA8Y250dm9pY2U+MS04NzctMjc1LTg3NDc8L2NudHZvaWNlPg0KICAgICAgICA8Y250ZW1h aWw+YnBnZW9AdXNncy5nb3Y8L2NudGVtYWlsPg0KICAgICAgPC9jbnRpbmZvPg0KICAgIDwvZGlz dHJpYj4NCiAgICA8ZGlzdGxpYWI+VGhlIGRpc3RyaWJ1dG9yIHNoYWxsIG5vdCBiZSBoZWxkIGxp YWJsZSBmb3IgaW1wcm9wZXIgb3IgaW5jb3JyZWN0IHVzZSBvZiB0aGlzIGRhdGEsIGJhc2VkIG9u IHRoZSBkZXNjcmlwdGlvbiBvZiBhcHByb3ByaWF0ZS9pbmFwcHJvcHJpYXRlIHVzZXMgZGVzY3Jp YmVkIGluIHRoaXMgbWV0YWRhdGEgZG9jdW1lbnQuIEl0IGlzIHN0cm9uZ2x5IHJlY29tbWVuZGVk IHRoYXQgdGhpcyBkYXRhIGlzIGRpcmVjdGx5IGFjcXVpcmVkIGZyb20gdGhlIGRpc3RyaWJ1dG9y IGFuZCBub3QgaW5kaXJlY3RseSB0aHJvdWdoIG90aGVyIHNvdXJjZXMgd2hpY2ggbWF5IGhhdmUg Y2hhbmdlZCB0aGUgZGF0YSBpbiBzb21lIHdheS4gVGhlIFdhdGVyc2hlZCBCb3VuZGFyeSBEYXRh c2V0IGlzIHB1YmxpYyBpbmZvcm1hdGlvbiBhbmQgbWF5IGJlIGludGVycHJldGVkIGJ5IGFsbCBv cmdhbml6YXRpb25zLCBhZ2VuY2llcywgdW5pdHMgb2YgZ292ZXJubWVudCwgb3Igb3RoZXJzIGJh c2VkIG9uIG5lZWRzOyBob3dldmVyLCB0aGV5IGFyZSByZXNwb25zaWJsZSBmb3IgdGhlIGFwcHJv cHJpYXRlIGFwcGxpY2F0aW9uIG9mIHRoZSBkYXRhLiBGZWRlcmFsLCBTdGF0ZSwgb3IgbG9jYWwg cmVndWxhdG9yeSBib2RpZXMgYXJlIG5vdCB0byByZWFzc2lnbiB0byB0aGUgVS5TLiBEZXBhcnRt ZW50IG9mIEFncmljdWx0dXJlLU5hdHVyYWwgUmVzb3VyY2VzIENvbnNlcnZhdGlvbiBTZXJ2aWNl IG9yIHRoZSBVLlMuIEdlb2xvZ2ljYWwgU3VydmV5IGFueSBhdXRob3JpdHkgZm9yIHRoZSBkZWNp c2lvbnMgdGhleSBtYWtlLiAgUGhvdG9ncmFwaGljIG9yIGRpZ2l0YWwgZW5sYXJnZW1lbnQgb2Yg dGhlc2UgbWFwcyB0byBzY2FsZXMgZ3JlYXRlciB0aGFuIHRoYXQgYXQgd2hpY2ggdGhleSB3ZXJl IG9yaWdpbmFsbHkgZGVsaW5lYXRlZCBjYW4gcmVzdWx0IGluIG1pc3JlcHJlc2VudGF0aW9uIG9m IHRoZSBkYXRhLiAgSWYgZW5sYXJnZWQsIHRoZSBtYXBzIHdpbGwgbm90IGluY2x1ZGUgdGhlIGZp bmUgZGV0YWlsIHRoYXQgd291bGQgYmUgYXBwcm9wcmlhdGUgZm9yIG1hcHBpbmcgYXQgdGhlIHNt YWxsIHNjYWxlLiAgRGlnaXRhbCBkYXRhIGZpbGVzIGFyZSBwZXJpb2RpY2FsbHkgdXBkYXRlZC4g RmlsZXMgYXJlIGRhdGVkLCBhbmQgdXNlcnMgYXJlIHJlc3BvbnNpYmxlIGZvciBvYnRhaW5pbmcg dGhlIGxhdGVzdCB2ZXJzaW9uIG9mIHRoZSBkYXRhIGZyb20gdGhlIHNvdXJjZSBkaXN0cmlidXRv ci48L2Rpc3RsaWFiPg0KICAgIDxzdGRvcmRlcj4NCiAgICAgIDxkaWdmb3JtPg0KICAgICAgICA8 ZGlndGluZm8+DQogICAgICAgICAgPGZvcm1uYW1lPlZlY3RvciBEaWdpdGFsIERhdGEgU2V0IChQ b2x5Z29uKTwvZm9ybW5hbWU+DQogICAgICAgIDwvZGlndGluZm8+DQogICAgICAgIDxkaWd0b3B0 Pg0KICAgICAgICAgIDxvbmxpbm9wdD4NCiAgICAgICAgICAgIDxjb21wdXRlcj4NCiAgICAgICAg ICAgICAgPG5ldHdvcmthPg0KICAgICAgICAgICAgICAgIDxuZXR3b3Jrcj5mdHA6Ly9yb2NreWZ0 cC5jci51c2dzLmdvdi92ZGVsaXZlcnkvRGF0YXNldHMvU3RhZ2VkL0h5ZHJvZ3JhcGh5L1dCRC9O YXRpb25hbC9HREIvTmF0aW9uYWxfV0JELnppcDwvbmV0d29ya3I+DQogICAgICAgICAgICAgIDwv bmV0d29ya2E+DQogICAgICAgICAgICA8L2NvbXB1dGVyPg0KICAgICAgICAgIDwvb25saW5vcHQ+ DQogICAgICAgIDwvZGlndG9wdD4NCiAgICAgIDwvZGlnZm9ybT4NCiAgICAgIDxmZWVzPk5vbmUu IE5vIGZlZXMgYXJlIGFwcGxpY2FibGUgZm9yIG9idGFpbmluZyB0aGUgZGF0YSBzZXQuPC9mZWVz Pg0KICAgIDwvc3Rkb3JkZXI+DQogIDwvZGlzdGluZm8+DQogIDxtZXRhaW5mbz4NCiAgICA8bWV0 ZD4yMDE2MDcyNzwvbWV0ZD4NCiAgICA8bWV0Yz4NCiAgICAgIDxjbnRpbmZvPg0KICAgICAgICA8 Y250cGVycD4NCiAgICAgICAgICA8Y250cGVyPldCRCBQb2ludCBvZiBDb250YWN0PC9jbnRwZXI+ DQogICAgICAgICAgPGNudG9yZz5VLlMuIEdlb2xvZ2ljYWwgU3VydmV5PC9jbnRvcmc+DQogICAg ICAgIDwvY250cGVycD4NCiAgICAgICAgPGNudGFkZHI+DQogICAgICAgICAgPGFkZHJ0eXBlPk1h aWxpbmc8L2FkZHJ0eXBlPg0KICAgICAgICAgIDxhZGRyZXNzPlUuUy4gR2VvbG9naWNhbCBTdXJ2 ZXksIE5hdGlvbmFsIEdlb3NwYXRpYWwgVGVjaG5pY2FsIE9wZXJhdGlvbnMgQ2VudGVyLCBQLk8u IEJveCAyNTA0NjwvYWRkcmVzcz4NCiAgICAgICAgICA8Y2l0eT5EZW52ZXI8L2NpdHk+DQogICAg ICAgICAgPHN0YXRlPkNPPC9zdGF0ZT4NCiAgICAgICAgICA8cG9zdGFsPjgwMjI1PC9wb3N0YWw+ DQogICAgICAgIDwvY250YWRkcj4NCiAgICAgICAgPGNudHZvaWNlPjEtODc3LTI3NS04NzQ3PC9j bnR2b2ljZT4NCiAgICAgICAgPGNudGVtYWlsPmJwZ2VvQHVzZ3MuZ292PC9jbnRlbWFpbD4NCiAg ICAgIDwvY250aW5mbz4NCiAgICA8L21ldGM+DQogICAgPG1ldHN0ZG4+RkdEQyBDb250ZW50IFN0 YW5kYXJkIGZvciBEaWdpdGFsIEdlb3NwYXRpYWwgTWV0YWRhdGE8L21ldHN0ZG4+DQogICAgPG1l dHN0ZHY+RkdEQy1TVEQtMDAxLTE5OTg8L21ldHN0ZHY+DQogIDwvbWV0YWluZm8+DQogIDxFc3Jp Pg0KICAgIDxTeW5jRGF0ZT4yMDE3MDExMDwvU3luY0RhdGU+DQogICAgPFN5bmNUaW1lPjEwMTky MDAwPC9TeW5jVGltZT4NCiAgICA8TW9kRGF0ZT4yMDE3MDExMDwvTW9kRGF0ZT4NCiAgICA8TW9k VGltZT4xMDE5MjAwMDwvTW9kVGltZT4NCiAgPC9Fc3JpPg0KPC9tZXRhZGF0YT4= iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJxsvQe0XNd1JXgqp5+RMxGIQBAEAwgwgzlnUZTlttRWGttjt7tn zYxnzXKvmfbY7m67e+x291iyLVm2LFk5UpRISsw5ASRIggEMAIic8WPlqll773NeFbX8tSAQ/9ev eu++e0/YZ599ssdO7uvWqjPWajUthf+lzJrNphWKRSuVK5bJZi2Fb1rXOu22NRtNq9VnrFAoWqFQ snQmY91ux9qtlnW6XX8Pvb7VbFq1WrO0pazVafN3isWSpdNpa7Va1mzU+dpsLmeZTMbanQ6/1261 LZVOW9Y/u9vBZ3csk85YLpe3dDpr6XTOLGXWajasWpu0drdpuPh0OsPPrk5P2bFjRyybydnI6Kjl 8nnLpNP87K51+RnZfJ7ft65Zl9du1u10rJvSfbRbHet2jdeBdcB/46vT6fC64r1SuNdWm+uDN8tk spYvFK3RrFs2nbVqdYbfT2fS/F3cB+4nXyhw/fCF9+502vx5NpP17+ma8IXnMzk1wRfm8wWuQyqd 4T0VSiVrcC3TVvD3bLe1lnh9Jpfj9bbbLb4nvj89PcXng/svlweS98Ra4/uFfNly+YJNT4/jyfvn pf1qUr3797XDf2AfdLptrgl+hnVtNhv8XPw7y2eXtqnJCWu3mtw/xXLZ0qm0tTtt7qFabYafj88q 5IuWKxTs9OlTdvTIMfvRD++zhx562Eqlon36079uN95wDddUz1yfVatVrVQqW6FY4h6O98a14LVY o2Q/dzrWbrf5+3jG+MK/cT94ltPTk9ZsNGxgYNBa7Zaeu6WsXqvy30PDI9zPeE8swQcf7Lbrr73V BgYrdtvtN9sVl19q8+bNs4mJSXv11dewuWz92ets9eqVNjo2ZrlcgdfIz8V5aDb4nLE3cI3YH/lc geuF968MDlkhX7AO1tn3Cl6XSWd5frBv8fxwjXhGeE/cw+TEuM2Zu4D3NTM9ZS+9tM2++a3v2COP PGZ33nmbffrTn7Qzli21U6fH7fnnX7Rf/OIR2oFnn33Rzjxzhd1779129TWXW6GctZn6BD+70Wjw enmd+QLPNn7p4P4PbWpi3LLZjJUrAzwH+MI+GxgY4jqPj5+yw4cOWKVS4e8OV+bY2NgCqwwM4GRa o1XjGuNc41ZyOZz1FJ9FNpvNGf7wGfJgtLj5sRjYpFgMS+uHeLD5fMYfXNo67S5/hAeGQ5rBd2NT 87DBMLVpBLK+uXGj+CwsHh6IbEDKOr7x8bBi0+I9cWjwMPiW1rHq5IzVqg3LZPNWKg3wmuq1ttXq VUtl0rxBbNJuJ2W5XIUbdabatFyLP7JsLm0DAzok2rjGz8H79B9qLCw2LQybH1G+gTYKNnm6d980 oE2D4Yexp9HJ5WhYsblg7PoNfqaIz+odfN53p81DkM/l+TywDvg31g6vxXPBNWItaPA6HUvjB+mM b/K2WaprrXbbcjyYltwfj6cfQvyrVKrwexMT49wE9XSVxiZDg2o0Ou1O07LdvBUKZZueOW2ZXNZS tNjxnnyIMlbxITD0+GefA+jdXydZs/g31ob/bR3+DtapXKlYrVq1Rr1udfxptOzFF7bZC8+/aA8/ /BgN9F133263336z7ovPNE8jiTXELWOz4/vcv/msZVIp63R0rdrK+m+sacsNJ6+XtwRjIOeCQwYD RmPabvOe8VytaNaamkyMtZa5a5VyyW659SZ7Zfur9uADv7Rdb79rixYtsiNHjtoDDzxkg4ODdudd t9onPnE3DyvOAq4Z5wD7jkFD15LDT+cDJ53Nc4mz3GdZ68J4+t7E+qay2BO+7jBYdBZYEa0/zhI+ B9f69tvv2H333W/PPvu8nX32WfY/feEztnDRAhrOgcFBGxsbs/PP34htZX/2n//Ktm/fYa+9ttPO OnutLVg029qdFvcgro0Olwua4l7FehVLZTojrS2+1+Fexnlqtdwgt9pWKVfkINttGtFCfoLPAUFS Nlu0fLrM/dFq1bRPELR0aUfC8+nA5nL6YaPZsCl/KPBW3GyWsiY/FAcWByltqXTKD3w2MVba110a hwKipmbT8jQ6Mgi4ETyQYlbvC8OHX8FBTBWND6NRq3Hjmk1aJisPiNeeOHnaWq2slYoDNjPTdI9P s2OW/BPvlrZ8bjj5Z6thtOzdbsOWr1wkz9SFScXnwktn/WRzO+ueUvjMTrLBEw+IKKwLY5W2dCrn 0WCOmxkbO9ZA3k4HF9GjvDSMVsMjNn4Yf6der3EtuTmxydoNRU1mNGJYw1wGkSiMcso6ME6dlnUb HWti08ZnRnTDf+PaEaF2eI14xrr+rDYWNsvMNA0DfhfRQrdLS8d7Tacyli+U+fu4Tlxf2KdYE+sz Sh/940Yok7FOF5u1xc/D5TOKjdfh2vAafAbsr0fRMBqTk1P2+utv2p/+yZ/Z/n37bWho0O75+N32 8Y/fzfXrtFrJZ3EPlyvcXzgAjYk6n+EA7jsDV+qfpwfMZ4CDjJ9xTbtdPiNeByPtnsGlYUCE5uuK vYjIIBZDhths/oL59t/+6s/tvp/cb9/85+/YG2+8aS+/vJ37ApHVwQOH7YUXXrbNmy+ws9attWaz zgxhcHDIMtkcnz33JSLs+BunLpOhg814xoE1xdlrcE82uafpvNxJ4Wc43HLGGTp9nU+zn/38Ifvx T35qc+bMtjtuv8VGRoat0ahZDoY9U7BiuWSLlixhNHjvJ+6xDz/cb2/sfMt27nzLFiy8zGrVmuUL eUY9iBCRDeC81jozdAbFUsmyuay14AhriJRqfK0i+wazMKz5yNgsOvg6AphO0xr1Gq8DtoZnqZS1 mWbBmu06f4ZnUMJ700ghAsAB8iigVC5bpqELwWamcSkUE4vdiwxgPRVtIAVh6BYGyzc1Hhb+YGPC 0nY7aUN8hhdFepTJ9sL0dKag9C2bs/FTx2k0a40OrxGfN376lC1bts4WLVpq5XK5lzr5ofmXviLS 2Lt3tx07doChMl7Z7Da5SZEVYm/IKLvh5AZQuKCDryiH3hf322rbTKtqg0N5HoZOp8UDDU+FTYJF h4FqN3BQW3xI+F69Vrd2u2YFw4PtWrOFh1W3Zp3hrs3YlNbKDw4MDY0VNnShwE2J60n7+uFgdT0C wP3jCbRz+jxEobjXFtJpfy9FNy0adHgzvCHShnq9ahMTKXo+HBQ8V0YfxZTlc0WPmn51ZRVxxbor rZWR1KFSZJxPw7jDKCHabtMBybCmuGZc9yyMejtxaDMzVXv9tZ32h3/4H+zY0WN255232rXXXWPn bNzA6AQGPovD6AcY7wWYYHBwmNeBfTI5fooHD2kJ9ieiAnwe/icjjCg16ylo5qNpIlMdHExFWdWZ Geu0m7x231QymozUBEdEynjNNVfaeedusIOHDtmRI8d4KMvliv2v/8v/YcuWLbE5s2crOEBmk07R CAwMFSxXUOoeqTdXlXvbjW4KETCeixwfXpFEhVhRz4qYrqfS1vIzN1Cp0FghNT169KidPj1umzdv sttuu8VyuazN1KbNpqasXEHWU7RcrsjPuPa6q+znDzxkjz7yuD3/3Eu2afNGGxwZIJxQr9Ysm6vR VmCdaEDrDTpXpK2piiLdUyePy2Bms9xneDaEmjI5GxwasempaWYn9VbVZqq4hgE+Jzo33rPSZewx nK0sb5iGyg9IpDkZ5ckMLf0h4nUwSvk2QtQ4zEoPGCn5AdKiyxvjj6ICPIS2ZfQLycZQJBNIjdI5 eAeEm5WhIWt3W9wsHuDyIMmLpOzIkSO2e/du3hhC7507d9rp06etWARWVrTp6Wku/Lp162z58uXC OpQrcVF4KcDsWk2/FmFpvlWSKMD8/nDvM9PTlnZMCIYGWBm8ArErGDpiKjqg2GRABrFhWy1gTFoL GCDhPx06hFajyQcNQ80DnxYuoKgO6V6LxgcPXYdTBh6/j5/DS+N9EBXxq1SyTBqHAZGFsB28Dp8N oygDr/eAR8T7wQDgfpD24TqA/aUzXWu3m1YqDdp0dcKA2CFV+lVnEIaMBgiWhzgfDJJ+oIhUeSPW GnuNEUM4BoZvHqmnOjY+M25PP/Ws/cM/fN327dvPSODuj91ha9eutsrAYO+Qts0a7ZYVUyVLZ+EU cb0wiDkbHhmzWnXaqjPTvFdEj0hrI43F65p0XCnDFQOywDXhGcu4KoOI18bzwv7jwUHEj+fbbFqb UYOiH+xdGIFZs2fZ2KwxW72mZQcOHLT7f/oAU8BKuWzFIvBCvZ7nrQ+WQcrVbgIPRVQMZ5GnQcgk 79/VngU+6TANfhfX16g3jXAPnZMbctwLnE+zRahg6xWX2d69e+3w4SO2bdsrdsWVl1vTo3nuW5wR ZjPAbXN20UWb7e233rEnn3jG8oWs/Z//9+9zrWemJmxmeoZrA4wYn9OA4YexpP1AdF502CbNPYo9 EREw1xF7D448l7FUtmOtbs3qDeDj5SSYwTmAfZFjaFs2vGKAqPLg2kjc5LiBvlSDBzefU3hH46Tw PgBoPLAU0oquPG9EN0zSsEFzKUt1FKEoOsAB7YG38MDYSHhwiMzKlUHlyI7T8KDxEDZtYmLCDh06 xM2zatUqO+OMM+ydd97xFKdrBw4csPXr19vIyEgS/dH4ABTPF7jAGQdMeaA8ZSC+4phH3JvSFR14 eNa0G1y8tl6boUHGZ2A92h3EXMZwGUaQD7NeE46DB8kIEsA4NlIjAfYRQenfCptxr9id8DAMs+HJ sabYvA42a4PCWKat6esX1x0bF4aEGZrfSxwUHECm4oje8HpGyi3rIKouKIJo1Ks2MDhmqRl4R60N I2FGAT1HE2sbhpSGCvfXRjQXn9uLAiJS6MJT53PuqLqEAR5/7An7+te/Ze/ues8uveRi+9jH7rDV q1cR38L9yHnKEOv9hVExCm42GI1jPfBcwqBnaOjk8NrNFqOqRq1urUzThgqjum5cJ9bFwWt8SoDb MBh0XnA6PNBIdTs6QNjbjrMSa8xmrQijn80RM/rud35gD//yUf5s9pzZNjg0yIIPnQL2vhs6ZSB4 fgoW0t2MNbsNpl5cz66+H/sAjo2FBI/I0h794aniyeBnSN8YIHTbvMbzzt9oL297xX7605/Z4088 ZVsu2sTsqcbCUZOOq5QBjpThGl166UW2Z/de+953f2ivvrrTjh+ZtPkL5lq3iBRP2QFA/aGhEeui IIDn4XsP5wHPDFlM152psC13AGY2PDzC587CXbtJw5lE7GGQHWrBnywuig4u02ewMsp9icfwMDOJ SzxqbHoPRPTmuCj/FOEEiomiktQLdTM0WBEtRa4REZmMBUJAVApRKSnyBqrVKWviOojy632R0w4M DNjk5CTThKGhIdu/fz+vHdWZkydP8h5OnDjBn+Erm81buTTIQ1OvNa2NBNUxCG5ULJwbLyykFgcG SpEADhdBb1ybwfNl3NsR+ZKhBkCICIyguRcm8H+INvFZ9DiK6misYJzg3bjh9HD00ORIYJwQ9aSA /REPQ0XWIxKvfCnl1EFiZAbA07Etfo97OR6Y1tCDZMebED0rcmbF0wFxYJYqQuRZiRW4r0g8iifh lGJ/pLAOMNzcvO6oUK1DVcnSlssWrNVusqLXaDStAnwlmyaYjH8Dt3ptxxu2cuUK+/wXftPOv+A8 VgbjYDLiMURXitywyfEnoiceErzGjQjXFv+tC+Z1JX862JcZPicdbE+z8V6eVeDaWUX0gxV4ILBX 4UoR8QL79BTOM44P3t/DqhucKKptV111uc2bP08FlFyWTo0VczzbJPKF4W2ZZWWIZTRbXDs5GezD wLfSZh7Jcv9gD6OIwYXH9WUsn84r7TWzRYsX2fIVZ9ABoqo5MzNlg0NDdOAswMDgtwHLFOlglixZ bGetX2fz5s1ltPvCc6/aHXfezCpyPj/NdUcGhEoqosEGHDmDjqaiaGKEig5h3KKizH3khTdEniz2 IUsoyLDFnuHeDWPd6lgWITNxJsv2cBNPgbJejcKbJx/ki8rSOw1RbCLlmYg0ZKQCkNXDTKqHSRgL 4Fg0igAL+ZA9IoBhC3wMEUmnIxwlvrCBEDnNmTOHBguvQwo4MzND47Vs2TKbmgK14RhTx+HhYQGQ MFjlQXnkrkqlOCzZvDZ3uy3jKTwjDq4ONKofbn2YxqbyCOWz9AxKaRSZynjj4DeszQqNqo49bAzR QZ0bXv/WQcIPYBhSKeBOLVFF8DcOQjpr2SLwFEQHjSTKyKbk+XFwsp28KA2OFTHycqA2ngnvxVMq fR/Rq4eYPHBIywQLMB1qtRmp5PNFq9XdAGdkfBFJI5j+1S+A9e6uLIcKVgZr1LJ6s8MyPTEyhw+Y HlqG0QYOJKkMOTyjsi1fvsyuu/4arTtWB/eG6LvVEviMNY2UF5vevbuwMUSfOUt7yZ3pMQySO+Vw oLE/8Z7hsHn4Pd3DXmD0S+BYUXXY/DDW8Sd+L7C7U6dO2Z49e216asauu/4q+ze//zs8+DIswtL4 t2cuyRlwzIbrRKoICjYAp/UaYL6MBD0oIJbFS4/rj0whqA9ucA0FNLPR0REbGhziuYHBgeMAxpbK F6zelPFHJTngg4ULF9i6s9ba4SNH7Of3P2hrVq+yZcvne4Vchhm/AyyYER6MFveuMD3ADrmU8EDg dmErWIX1Pc6osZOyJqJ7YIss5Mm5E4pIC6ekwYKVa0ZaFpWFXI65OgBBVnhawFFy4u4gz8cC/Ep1 CJaSOac/wH6Qtt8TR6WDqUpSFnajlUlbV1lE8jBU7h60bBab/UivtJ7qbSZ8ffjhhzRWwLPCaKFM ++abb4pqkBX+I25Oi8arWRNPKNPFwgj4RfmYmxgVvFbb+L9Mm4sJ44byK6tSTDG0oSL1o2FwzIYH 1SuLkd6BdkCeVl7AJtasiyoqqk4dcKZ61dYmPb3J84AbVSj24VfyUjw+xGiK3Bw4tKrIybgAAYgK a+JUPvI8FKmxIABqSMosz8IBwOiWNZo1q1YnbWRkrqUbNA9eAQVfTffUe4YedfPywQ8ChtJ3vd0O 9xTTTqwZjHAGB1DeNJfL2FAup+c2a8yOHj1m1VoVJ4Drg/drdZU2YPPjniOsj2tAJDM1Pc3Iu1go yZA75qiDnSYGk8m2Lef0hThkAquxBxWlKvUCbUJ4FTCztKeL3XTgm3I0vWJUL6NAZfOdd3ZZoZi3 m2++wUbHRpNn0e/AhRkH9tc2IGtK93OMVGAosW/M0/agPfQwVhgn7D3nxPm5QbQ6fvq0jY9POFyB Asu0HTx4iEYqTpgMc8YKSNWt47QEFBh0rlDhvOfjdzEY+Pa3vsdq7Wc+/wlbvHQO1xb7ENeNn8f9 tVoyYvgIPHMY/vJAhVEbgHY4ccIYKDqhUuhmFr+Dc8YiSA+rcb5ZxrLlgQHl9nhgSMkIBKOMiJJv llUA/AyHAIcUN0dPTABYnhIbEL+L14ib0Udv+BVj1f+l4KIHckd0hwtrtOvcyJm0zDYeGh4UyHrh LfAQEGVhg8MA4sbx3wsXLrTjx4/bM888w+u95JJLaMSOHT3qD1ngNyw/SquNVsPSLYWveFDCqXJ9 ob24ZEiPmlVgIm0bHBpm9aPREvgJ3IRVuNjCBNgBPIoqgM3DNJAE2pRVKsMEH3lAYLgdeA7Pn08X uMbtHNYZGwDOQMBspEaqFOFA4TDnlFog+mrCYDV7JEI/iFpz98yInD3SCIPfbKAg0CCVI0uMDNFX g+k4cCx8Dgw97hnvUSzCyPfIpNpykRqlrZtRtBkROqJHvEx0la5jeTCWqlAnMEPXrDpTs0O1w3Zw /wFbsHC+UgOmR4p4STr2dA1RG75m3PArGjJrojrLPSQDFNxAHt4kGoKDUTRDh4brhrFqiihKojIL JQ3nE+k1WGs5XsEbIBnL+Ijqg/cAxnr61Cka1tVrzuR1wKBGQOChXhI9kOyLPeKYJfeBhy3E65ri aRG+SitdxPMRhw40A2Fi8XXyxCm7/6c/s//0H/+cHCsYcXDCjh45SjrDxRdvdj5jifsXuBrO/9Tk uE1PTZJ6gGtD9HXxxVtsaHjYnn3meXvu2Rfsgs0bbGTWhVauFIllIdSengKXShFtsVi2Qr7E9JSR bUfnV4YZ2dAkU0kYYkV0qjbClpw6dcLGWM1FEUCZHPFerAs9vD9MpmqZjBXzRXrberwRKmoI++rg YAB/EJai9MUPAkiHXrUiZuBRSmLv+zg7PYMVVRhFcAKbPdRnzt5PVYiDEJUlEOwKNE5z587l9wGw Y/Pjz4IFC+zWW2/l7yDa4iZmmoZcuSrqRCZjpUrFujPIj1vWxmZzYxM5dIDTqmyBsQ4vXrNsVdUk eImWp8XC+iJFUMpkuawV02Xr2gy9Gkq9BNwRyfk14b2Z4iEC8hROHgWHXvSEHjEycCkYUgfBEUKn wa4viWMED1lvW6eBaiR4OHlGYmLDI+JCWI5NrmpuRBjEGjxNAsdLUWnB+UFaE0WosMa99KnnlIhM JkzrMK5YBqSuEUUErYHEYFT3HIwN77zpwk125VVX2D9/45v2B//7v7e//Ks/s8ULS0q7PcJg0SZi bUSFHnWAFT49M829AeeDQ06WOKuInt57EYBdDtxXnSRNC6euiM87DljxxL1HVqD7JUYHMIWcmFRC ui4UYUDhlEokiyKieP75l+ymG691CAHGThstCMGolOEL789I2qP1+BI22eTrM9lWH66GSKZmzVYt cQL4GThszzzzPCOiY8dOWLPV5tlcseIMu+76q1nEWL9utQ1Uyn2YdBRVvIjR7Ut3UylbMH+e/e6/ +W37L3/+l/a1v/+WtdsNu+6mrax84ot2AnhzrSoaDowyamqIoBmRKsgAZoa3nJyYSJjsMPQk56Zl dA8dOmiz5syxSnmMz6eWmqL9yeJmxfpWKgNwL6gF/BsHNZe2dC5jtTryW/GFZPHgKQUoZ9PKUUEU w5UVSmVhNkmeHV44jFX8dwCNuOCmmNpso5FX7EVpogDgGR46vN+OHjtKOIkRnz9Q3LgY5moLwUbD IYYXYojMtCpHHK5XNi5Yp4SIpKFWH25yLHaPnoFQBJ4CZNq4bkSgTJORlxOsdm6PV+BUu/NQNpMl N6UGnhVIdjNVRgLACCOixAPGzZGzhcKEbxKuQ05YUtADEpoA7hGGzjEzPng4C4DQfFbAyXCoepgA ng9erwiyl8rEAVbRQ1ERDO5AZdjKpQHhFPWqmM4eTfY/w4Tw7k5KUEpEXTqcgfMr1ZDzwUNEFSkw ITjDxYsX2VVXbbVd77xDpvXDv3zMbrn5BuKVeBeuVReHqmWo34DJrmcP45Ehg5+GCukN0n044WI5 we/CYyvqEw8A6xX0hTCccW+qUSRlp8SJMmKGo3XaAb4fBGAYjhUrltu5551DHtOX//arduTwEdu6 Fe06c63ZbNlMtUbDumD+XNv34RE6GmQMs2fP1p7iPuqlRGkaRVSla9bKtjz6Ax6ct2ajZvVq1UH8 pv3s/gfs6//0TUZUH7/3brvxphssm03z/YFhoYhRIFkUxR6/ftiqjjEyAh8q8Ew8a1QZBwcG7brr rrH33/vAHnzgF/bB+3tt/PSkDQ8P8cyjxQsQEwpmwacjrzOFFh2R01WpzpC4DNIyjRTPPvZxy/JF OOis1apT1qgO8rnh+uA4AaNkwQFSCd2taUdhrjy5VyVYElWvGSKEsMgqJSvMxgei/IqHiMgMN4mL 6uc0ua/4CMkz0kVVyFCVUmkXERrLoehNI0W/aTPTk4wKUIlpNqYZsaDKwb7AXJakwQGyhkF87Fgm JVC8Xp8irlIeKNggU2B8jlJOfJ+gvqkqSqJlC7wUJ+qxatS2Gli79RrvCeEzIxxwbkh6zInH4lSD VEr9af1fwW/DBsDBb9bLlvJ0IxukUERBzbrlurmPPJOkwEHj6YfOV5YpOdbLq2LBFwvnAQeAP3mP bpBaMH1Njp+D/k4X6QJAZAsE3qPITSJsoWqtjkDowKXCSCc0CkZeMCCiuAS9QSZLKS+eJytZvG60 8shg0Wl5UadULtjGjRvs1ttvYQ/e9773IxrirVsvt0WLFngEEB0FipZoRLG7SkrXJicn1EHRQZqM VFyOWBijrhfv0W4rygkeGt4E6y0APiX+lj/vhKJD/E0QgsrtiHA9zUals17j62EcLrpoi9162832 0IO/5H28ufMt4nPRZwuDBTLp3r376JA3bT7fbr7lJlu0cFFSlUwKLS0vxMDhtNCig2fbYYq3b98+ pnZr1q21t9/aZQ/8/CHbs3uPbbrwAvv85z9jG8/byIAAlTx8VavTTKtFv0GEo+o0InUYQLVvidKk R4d2nKItXrTIli5dwnuvgRYCp81uhq7lEZmzk0IUhGa9Jia+FxMKxci6BLgDVsG5wrqpFU/eBFxH PB+kjcBTYTxV6KOTV5hL3pHjpSI2ChBVdQwXlePBJpAWWz0gh2Cto8eoWGSzL1JKejyE4olxUj4r gmFUrXrAocJceE9QATLkwYj+0OXhQ2SCMB05Na5xehI30UpwgaGhko2ODTvZDF51gC08E5M50jbA HxPm4BW/AFrZYhNNtF1uOBjDII3SkKKayEgom4DfHjgwMoIhyHazlsqqchbRIWOzNt5TlT1Gp61o Wen0KCUeEvPhIU3w3jumIU57iEPki0nbFXgUgX1naLMhFeTG6oyaauGU4MWcFvGRtXejFe+Db+Qy iBpR4MgxikGzO50W8ZteSs6WJ+J73vKCpeimxbVzkuNHjbYIpTAepNP4M4fB5TUD9PXUcu682bZ1 62X20o3XkcP03e/+0CqVso2OXk0jgtcBT1J0rbYxVdQUNWnfgQvWozBk83huGfUusm8UEAaoFTIG jCoRxXSVRqpCmLOCtxgl8AANnjo78Hlsrm6KA0agHo4kryb21avPtM985lM2OFBh/95rr73Bgy5m foZE54AxULXb++E+Gx0dtdvvuI2fDZwTwP2B/QeI/eH38POlSxdzn7z//h7btv1Ve+/dD2x4dJj9 ga9EoB6CAAAgAElEQVS88ho/B1XWj91zp23esomGgffoBQX29wI7RAXb+2GxcfGZiIDZsxhVOI+c 2fvnNBUUEADFjAyPWaFQUZ9sq65nA24iHIDVnVs3zcg3qDfRawpDBMNVnZ62ulOocAbGT5+kk4Dh QoELryFbIFO2LDEcWjj19+GKqjNVto8MENWX5WVnNkLrUpkbBSEtNkNgFwQrmUMXktfDY8HwRAVJ mxoRU5AXtYHZY+fNpcSvgHH44Q1DRxY3Qu1iyfIELFFRAwkTmwa4ifhOOLDFfImLWCwNWLNRJaag w4YLgcdyzCIhjilKZO8cNnVKigIwhMIy0OeVI/lQmwvpW89whKcPQDgiAIDzLNm2W9asK31Anp8t Vfiw+FCdKBdpJAwFDrQ64ZWmkU8UigjBK8J/I1pwzEspjqKI6HVDegxDT4DaMZdCHptO/802FWJS jsk00XwNFQ5hEoiq6vUZVkal+NDPcvdmcFRJ+6Kdtn9+f8ElUhr9vvdW9rWXEPfEZih594MXdGbN GrNPfvJee+ONnfbccy/a2Wevs3M2nk0Pn4czzKHo4/1+TEGUigh7U0TJhJjKFQ1FDZFJ8BmJ+8No HHhmGSoPAoYV1TTdgDr3Ju7bmfwqRqm3FN9F9kHH5cxzZhnFvK1evcL+7b/7HTvv/A128MAhO3Hi FK+vUMjbzp1vs1/vrLPWkgLx3nsf2De/+V0SoZEav/vuu/b1r33TXnrpZRo67MUzz1xp1113FVts HnvsSXvzzXeY4mFf/+gHPyHIv3DRQrvq6q12ySVbEsWMKJ4FHkmFh24/PODRvlcUA9cSCVlk8Ea9 ZcuWnWGbLthkZ65ca6X8sHUaWRsYHLbp6smEtkBnVvAWONoC9M/WmD5H9wAoLAOVIRlMNPy3VIFF gaqE1LaNKHTGSrWyoTiI4CPL6hcIXZ2OFcsVguz40AP791gupzRG6R+aduvsAwrv0GqppaNeQ5qh ULOTQglaJf8ItbGAQaQjm9dBTfVGCZ9h6sOKmAwJCJ3c8L4x8Ptoy6hUBhVNpOWlLCIkVn8KVioO 2uDgLFa0ZqbHSfUH2VOLr1ZkXX9wgURLiBNGoh2qHOAfQS2gNmPdDvJnLDQAzgYNSC4NuRUZYdwD 8R8aavewTGszDGt1gBRmR1oSmxpeGdEc7rsM+Q0oDHRz1uiIpU2FCfasiTgXbGusb2AYeB9VbxXG 0GQCRwQpr14Te95TN0qlJE3D3jqFyK2DHq8hKxbRp1e1Wm3KOt2WZdHf1gf+9qJrVZa5L2hwojwv 7h479X3jKyJhIErjmIExzWZZdZW0kThQigYV7czM1OzFF7fZl774ZXvj9Tf5qUeOHrP9+w8QAwoc C9eqdhiB6hHlRASkiFaGKSKFKBwE4RYpKfYVCKchI8RnmVZU3H//oYKhxvEpryqrJ5C4r0fCXAOS g+F8kKFk7YorLuchDNySUYP3zeE9AZKjHenxx5603/mt37fPfeE37Sc//qm9+soO8ggXL1lsJ0+c tJ/97CF7/PGnSVEAfgQy6ic/+TE7PT5ljz7yhK0/e73dcMO1JIhifXCNdJS+55gWO0aLLxgMQRZ4 RshCPHVzwxK4E3iNzz33HAOZc845h/9+4GeP2Nz5Y3bvJz5mqdQo7484LMjWqawNVJR+4ohlUmri 1jnHZ2D/pmxoqGyVcssatYa1am3L0YagaFJjIQqRpbDinGUBlNVSAGNVwcITAZ4CsAvVjRQlUkSm RPtGoQ0GbC9qYntBMW3V2kzS5xZhpCIxVaoKRak1yEgEuAmgXOVkGTFZc4SvIWICr4ENj8MuTo3C w2hKJn4AXlMuZ0NDozY4OMrFAGgHsl2+KF6YLtg1rzyd5SHxVgexpRXV4N7V45QjiAij02iALax2 Id1nhg9A8i/CRSJPilA6StH4vFy21yHQ7rbZ6MlDMjDIfkRiAUyVZUTYMErcqZv0CjIu8AZt7C5W hLo9R4Avlqe9lSF4NFF+J2aUaIbJ2HTbuM+ylQfRupK2yYkT7N/k88n0qsBJDuhPptem0ws0FY2K LY9DQG0tV6hQtz4UISQbIhAezxFk0QK1kMjBgUrIqWl77LGn7X/8j78laHz2hvWMpIEHrV27VpVq RPh4fUN9cNjgSc8dyIpFb32CMXSSKcIxNATz+x5hRgEJcEFwm6J5O53GoRGpkem8pzVBNhVrXzhk 0r6TQpNuKdFwisVpuaFk5Bd8L8c5C8Uyr+XSyy+ls0S7yoMP/sL+9I//jMTnVatW2m9+9tMEzw8f PGT/9b/8N3viiads3Vlr7NprttrWrZfYGcuX0Sledtkl3FOojOM8RWUXBhj7NSrB/VSiIMziXJOY 4x0f/BkyJ2/Hmpgct6efecou3Hy+nXvBejuw75D98heP2o4drxJ3K5XQ+CxqQjZdsFJ+iOtXKY6o YZ/ZiVeavQcy+orZxpVrWTOHcyDyLfh/pJMAE2s0bHrilGVxmLBIeACUffHqzcDQsNKiWs31b4o8 fCKUKb/lByOP76RZWiV+gNI6Kj8BDjqvRXpCkUlEvSiY8jhIilSwEXFAoyoTukYwbEjrRNrzaIqZ S5pho3qwehIrqGqQ6dvw9iJv3CVJsa80Hbo95IMwoqraVGbChodHmR4WSxWbnhwnZ4QyHE4Y1UYr GkjiSJcoXOfGixvfpImlZl3Ef5JNAbaEdUFkwfVhDyG+B92ljqUcR0r6/hh5NCnXwW54KA70bTcS 9yh46MQ6MsvlHPA6PdMoHQscVdQj04MqabFQ5r0hBXQKu/gzlJqJ59MjAgfAHl0IQbFQdc1f504C kR7TUURTNfQNQj9IIoJwELgIiPjhc5DaoI/wzTfftl273qeR/p3f/qxt3Hi2DY8Bt1lKwDrIv4je I8ITA18GJCgh6qpS1TKinp6xQFqtKi14cYr2hbHSAfleJWHUwW9U6Czao1jkwOfo0IFywHVnUSiK JsLQIuWN6mhAAGEAlZIpQj3vvI1Mha+/8Vr7cM8+XtOatatt47nnsN0Mv7N5y4UU2lu3dg21qxYv XkhDIaB/mLANC08k3OrsMdoztGt1uReTToNOiwRbGBhAItEKFGvcI9TqHE9TiMBs1uxRgvyvvrrD Xn/9Dbv/Jw/atu0v07nguQ4NDdiiRQvt0EFw6Q7Z8MgweWnr1q+x5cvPsO3bX7VqFUKS00z1SbT9 8IBNTExRzeLKrVutMjBEDiBpLyh8gdYQh0JRSF19QF6+j8AEXhtGTcYEOIyepipiXes2XdDPm5kT jSGXvCAJNZpGE+/0UYqDOrm1+ZjicDMr7aF6QGA1wMBaivjEfs4y+kLqgxB9cvKUjWRmszQbxE9F bdPevhHe03u22Gjtyo1ZbM62zUxO89qHhkfZItJCv1RthuxbPIyJidMsQSO9okZPv6qDVwq7zvLW Z6lqCbMVHhZGGSeb/y4W1ZNVRVvRkLc7KPVT7UvCccEIZle/a2gF4z3T10sYNIUQPoShI8GSPBn1 fLI1gqVirBNUNKcJNpO81xKfjnSAvkpvP4YThRREgbjGMApJJa1PySMAeKS++RmItYkzxf1AJ4K0 rW0//ekD9vDDjxLnwXNZdeZKu/W2G21sdNgGh4d7umxMex2Hw315o3Ew/f0Gk3WIVhE4I2QP/VFj onYQbVX8XcEEor5on4hGIdoPDj96/0hsduCfjqELLpIiLn6vqYIQfgaHH7yuUObl61xpNviFaIxe u26trVy10vbu+ZDpEziFSMM6Do3Ea4FTgYcIGAfXjT2BNZ7KDFvWClZJtyyfUQcK1kpdKD3VCclH gb+VshL2DaFSrKw3rwfWCaeVdZXZVIYUJpyv4aFhm79wHj93z+599uwzL9rI8KgtWryACrHvvfs+ yarApBbMX2iTE9P27jsf2MGDh+2D93ez6gu+GBwVAiPYBlBozjhjhdRi05KnSvBuRLlsL+mrSEUP G1U/W02i/jAYwEMIRoYCZx9orsqMawPhBj0Kg1dnKRa4VVSREuPouU9fqThhblM3qtZT2PQcOw5M wkViiiNsC17iWPWwTU+Nc3NUBoaTlCY0jWAkmu2mNVONJG1pJ0Jnqv7BuCJnRgc6/o2KJDY5OFhD w2WbGD/tonfAhoCVjCjSC0wkwMzgcBEngSER94t4AjAcb8aleoNLgKgyibK/Dgn5YmQxi0ekwkgP hxFelvoI4dMVqhwTVAtVs6HoUJVIV63A4QKvBU3NYMV7RCjFBkSbeH0mqcjBMYXq6q+qNMCQqye9 n1TZU0wVcxzpccOmJycsNahiQmzGqB5DxmTvnn2kLoC/hP41HEq2IOFwIUKjUGJE+BnL5OV8olUs WpLEZO91YjCqrbUZDfcqvNqLrIxFROSYqf5GIUfpfay5aDbeBE1hmnC6+puRjvP5ELEzIwF1JVqu 9GCTMxTcLVWeRRVAS8/rr++0QwcP0RhjDdauW0MQ/vT4OCWOYQQXL15M0cBiATws8MjUAXCK6W3J BjMtq5DADO0wFWIknw0MU/it0mYUF6AOgf3jSrZ0inDmwNc6lu54+xTWCtIzaVTryzY4WLHhkUFb tnxx8rN5c+fbqVOnbdc779nmiy5kZHjueRt4HhBZvfXWOx6FDdHY4pnXZhrEJpcvX2FbLtpi09Mo erm0uHc5kDdHQmBT1bwocbNFBSEkqiTAJFxtEQ3L4V1D7C48LVIdgqWuFQ7PrIpiziMYPdBga6sy peiHtsvxEOkEeVOq0x8+wtviJlILDQ849aJzbCsYGhkl5jQxccqNn4oFIyNzuJgtkESbMBoNPohO BmG9vDzeEynVwECK6R9KzEjbGMWxmoKm0VnySuR/SWtLTN0Cgf3gHnU6UqlU2RupldIVFTgAgKoZ t//c8x7ZRCr6BD23y9cQq2LkCg5X3asqGes20Q0gtQdcX0KHcIwtHISiPqlqqvVG+FTIlqBfEOun a+zTsPIoBmk3eUyIqPt03ZX+eQN78K2CtgCpEurzI11TYQdGUPhlxiqpIe6ZXjtOl6X6HTvKtmnT efa7v/dbtnLVCj6HfLksxVZIwnhVFQYAh1xkXevbLzmmz0lKlkjoCKsKKgcLBIIIe1I50bLkqb26 I/C5niKRXuJdCC3nsoVKiVdvQ3+KxQNgOVnRgQJGSai2iVZcxlpQzu2aHT9+0t57/3178omn7Bv/ 9C1GJvgBFBZuuvkGu/TSi6mw8MtfPGILFsy3VauWk0wLQ64GYtE3mp2U1Ts5m+kgzsrYaLpjQzmg 3npKPcwTTtsDgqSKr/uI1wSBXArCWVIqkNrh2iCyiH2+cNF8u2DTOVYqF2lw339vjx06eFQKI84t rDfROYPr1HoeO3rcXnz+ZRqshQsWWq2O1idxCbkmAO+hDUa2gHMQ4SIY/gG8DpE+rx7hjWi1XdqX kZLrKmPTseTjWEEKuAGVE2eoRogNWcLDxcEht0MHAAc92kPY7Osqs4m6g3NfeNHeQBkl49CeYprE qEFKC3hIlJhNm/AisLmrVTtx8gh/jggBImIANiHXjPvNk+2utAf0iUhheRAYVQ2w8hmd5DQI0N7O 523WnHkM88kkR6MttYCGqRaprvWGkwrh3YURSIIZEi/oxO/0sCcof9LAgUVet+mpKa43pJCRWnRT XsFk8UE9VyTYed8XmnjZ94hIkTQKORk8m1KxlBgIXDfSKV2Ty3qA3QxybhvifnXLkriqNIWRWQ5r 3ODzHBwcsUYDqYGqqdzE0FrKxRCNnuUluxxVSJStESmjKbZWI1aB91LjrmNsPmhBEX3Vzr9goz37 7AtWr6N/EamKvniPuDYyohUtVcHqTsQIVYFilOQAeEgeJ7/vnRDhHBKIwaO3bjOKOGJeY3aBME4Y Huy7HEnC6htEOtVIuHS9KiiKT7VETllN8uL+KYtRKgeCZOC6jSbuvWYnTx62r/79P9l9P/mpHThw yObMnWPXXLOVjmnbtlftS1/8O/ubL345kVL62D232dy5s+g4g41P6W0a2UQewOqWt0Pd2TbeadvC 7pTlm5PWaYoVgP1QKjvcoggiCUgSyWoqk+i+8bnnbzqPzP1lZywlvDk+PmmrVq6iEwW1AgM4oFGH Z7pu3Vq+36mTp9nXuOudXTY6NmKr16y2Rx95jFpnY7Nn2eTktO3evZeGUJAJimxFazaBUcLZaz2Z +otApsMmrynQVzweVG802SI2abupxVHTpWyyurU73JSMLEoOxDrQHsS9KNNz8ghaIbptxx7k/chh YWuBsINin/ojP9PfB7+PoRNsu8jKcML640UwXjisYMWfbtZtembKxseP20hqDo0WPm96+hQrculC Ty/J4j68ggVwl6kZvY8eIlp76NlBykQnPfowEYV0xPLHAUGEOQPVA6glwviVyh8hWgbQL4oEwFj1 0IH60ShX7PSpkz4ZRU3nDIlJF5ARLA0iRRcWgSKblA5c4dUNX6tR48NFIQHVFsqR9DVxp0GxKA+q t9Llm2HYcN2SdylYpWw21ZnggQBnjCRQeDxvsEaVseVSMFTMRKoVQyyc14S0GJwu7CNEuHCA+DxQ RRBJt1slSwFqQBRSKIg57YqexM5SMrwwcjMgTVKfXJIkzZmGtTxiFFba9QlJY67eqfsNzDQis3Sm 6coW8UxRZWwKAHfHgvdjpRotO42GE44VsalIg8+Us6bzchmaGM4g+Rs1jysI60l4B5SC34dOGyYB ff1r37Bjx45Twhjp8L/9d/+z3f2xu2zJ4kV830cffcJ+dv+D9sH7H7Aa+Ou/fg9fNzw0qAjWoyY4 nQ4Gr7i8TX+6Wmtn7FC3ZPPSTStn1WMp9nlJFX6o/MZsB28MxwbrUWA6Vi6X7PLLLqOMNtJ3nNn1 Z51t688+i+qjeD006OBw0F60ZMkS2/fhh3b8xAnew6ozV9lZZ51loyOjtmzpEnv+hRe4TuvOOssW L1potmihzh2zvLyViuUkAsb+YLASFYto9lW7hbz12Cz1NNHgVKvs1gY5j1K6HvWocRmjeeTdIf/K aR/UGJKqI3gYERnRENJAOkM4kdDVJsfFsd2GxgNd/LhmRRLRUhJjoyRVG/KyXs1iI6maYRFZ4TNm 8PlmNjAwzO8NDM6y2sykzdSniEkgnQvgtdOGDMaAIhUfTzQxPmHPPPuS7dt/ny1ZutjOXLnMBgcE VhOw9h5LHDJgXpPNBjGwdGbS6qVBGx4dtaKXksE6n6qeoOxNpGAU5s+CfDdInEfdBD7Oiw26oTAB GdoG9bGkvR3XrJ6AUBXF2sKY4udoVYKhiAEAwjJK/EOn4xrrAplR7m+ihqQ0HxEU+0lBOEUE1rUW FSnEs+LngEdWr1PuFjhbqE2w0uu9kdGjNzoGbzrpFeRekQXXid996613bfz0uM2aNcsWLFwgz++A NosKxIEy1oFMdz5PsTlRHMDnwuitJtMPXBMNJhntckYwKiQIo40rC2eMBn3QTTyK8Mg+qoUh9Y39 XypAG8ob1XlCcG9tdjQIi+vn5CniQuSqzgb1rCaVWyehQivrqaeetb/54t8xWsRQiFtuvYFA9Dle EaQ6h6XYV7l+/ToC1PlcxsZmjRArC+wNX5Qt6mbsZHaetTMyyP1f2B/VTs6m0hjkgMDAIz4fOUeC cQ5y2KowJtSNUEOF8c90aOw3bjzHlq9YLl5fZYBYVr3eZKP3lVdttanJaVYH9+09aHv27rPVa1ba pZddbEsWL7WiCymAhT9nziyuFX5PnLmclcol2gv1OAtfp3pMCC4E9SABBBGqOvCNTchWlSlQ7H24 AMdqVROAPLALtqwkiyiAUaVmlW2xIQJAD6KdKisyXFG5QtoQgHdUB0myc+lazSV0xce8SH0hUkfv 7qJlSJdgeEJaGe0YM9VJbiJoa4EkiUpfsyPPy4in2bIP9+63hx9+xA4fPOx0CLOTJ0/Zrl3v2vHj J9gfdvvt2FiX0DsBGAU4APVSRBITk1P2/nvv2ZtvvMk0Z2JyhoREVEuwflMTUywNj42N2rnnnsNe ryVLl8jwZrI2NDJCh4DfxbUPZIZdh0wVQqac7NvEmkrKR1rm0pjCQ0a00POgUGxV43Y0+8I44AsY AdaUyhpdeDFvOQqJW5dyFmVBLVyibMDryUsrGhYfje1OQQB2jC7dzuCiNTMRNBAM75iaTHTZg9kO TXWwvJEKIHpgz2coX9BYyShEvtNOCRcFJQR7hfpidGQ+Ag17BBpnvI4QvtNkGhhiCgby+2oeRlEh 2PugLRM/YfVOMtfQZUfRY9Zs0Co0pEPVWx8R55rv6jMEBuNYrXcT9Jj+irB2vfOu3ffjn9rJU6fs s5/5lK1ceQbbeFasXMGZhUkgYSmbNTbG/dJxCgeiP+Guwe1Lswd4ol2xRnrIur8SYcUXwJWpTt5y qaKNZNR/q97TPI0CIB18Lmc6wkEFlkyakPdeplJWqpSsPKDoJwBMOOAvfOFztuGcs/leANzf3Pm2 zZo1xxYtXGJLFi1lexKIrGpzgwMbdllo0HwmSVvK5fFw1erG4TiOzeI/AO9k6eEhGdYVBtCTJlX5 lB3/rOLAY4WwvWtIR7OvYx/91byQ8SBWgrTFN4MqhH6vLhUcXA94R1AG8D20SSTGr0/KJKKwLNA3 bhCfQxjlaOdjcaMVEbKbdRxdhYQMyGj4rNGxeUytQKQCoxshOaa0/PKXj9tjjzzOwRGs5LnkBxjF kNF4d9fr9tCDObZX4HDBYM2ePUacA1DH1NSM7dt/wPZ8sIfRG/oIiyUYDXlBTnrJ5ehh0dg7PVO1 m266gZUgFCHIhqduEoTzqonYn1jZqLz2kzk9wYaRId3MWfBR+occjzc3O5zKA1soVhhdsQDik2sQ LjD151g2tKvowKngIBXP0OtSN4L01/F3CUJ5jueoaIPqpCu4dmBYVZnC34giqfqA1Iopdp50jnfe 3mX7PtzHjT9r1qhkA0AE6eunDApHAMdBxIShx/swFcNn5lU9FWfP2fUgL+eLNjExbbt2feCVa6Hf 551/nhVLmqijFMoNC2btQdqn27WdO98kPWTLlgvJMeJne8UxOndQgJAdA5exLx/z5+Tt6izK4F63 vbydyglXX7PVli9fSoxIo9Z63QzRI5n0faY1LDdIrtGE3UUVz5CR9LcRffQL3611sjaVKlox07ZC SgGDxBBRhZauVSgJs60uA2VgyQH1k5FUXArVWhSrKnbd9dfyOb/33nt29OgRpocA6ZctXcp9TxKo y5yz/QwS5S7JA2OpoKNlI6OzEimoiE5jxgL7ENTWAW+BzRz612rmRDrB6RV93hcbslh01dGoFHqZ WZUlbYZks4VygeN6qkAoLVA6qAhBfW8AyjERVzwqRnacUxGGUFQIei6vMlLOAgA9KiU8hPIaadye 4zqsPhJXQ7ShgRBhaBFtgjPyD1/9hj3w819QM+iCCzYyKoKVnzVrxObNm0Vj9MgjI3bgwGH7wffv IxenXIpmzwY3Uhnep1SyBQvmcWArOvEByk9Maf4fvCX+vPLqa/bCCy9RBgRNpHPnzU2i3KiAtZqq VCKtS0OgLa8JKgSBk00T2lmIQmWk2KdV0GEK0iDF59gRANWNgk2CkJeS6qfOVa9KFi0yTAtR6fGD HBFRv7xNwqei/pmKJv30B2E/ecu0temAhwEXq83MsLkV1aH9BwE4f43RBkiEIyNDNNgofpANHalU nzYaKTOdwOZC3ln4C9KaqJgxSnKuFXCRl19+ij17JOD6UAqAwPjvaUyB6bSJ1eAAttMZAsJTk1O2 842dNI5nn71ee7UOp1oiURMFkpDTTuR5nFohIx80huS0M2IdGBwg9gM8qFjIsRoY05IiQg01jkit u5wB4A7aFU5Z0cyYDXfqVuuWrBqj9P6FL1xVzfI21WlaqTHjcuhZq5SHWPQBjjY5CZEBzAPNuZZc UDLSVp2R0IAEBvsqq/5xeLZPPP4EG9ZhfK++5kpbdsYStvmxFzirdDXapWKcXFwdGqHBb5RmPqAA GWhAKdSh4yKCwMsyorwXHi6AOE2RlSYzqzuyNjxEmcwgqybR+R2GAwcGYR9+lxwe11wQO7xf352C VZbFAzKoMVRZXUE+jHK3RninesYo4W6xNJCE29Bgp4h909ngwC98gnAmleUCQB8J/6bGj6ePfU+Q BxE9ai88/xJHc3/+C//arth6CRm3+Bly6lMnTjDqW3fWOjarvvfebkrPLl2yyD7YvYcPfvHSxbZq 5RnMzxcsmEsu29jYHKZ50hVX+lafqduJk6fsj//4P9uLL7xsjzz8KOftjUB3ntQR9SaKrNsUzhNR LwdiqnKrfj3hL0yryLGS+gAJkd4mQUys02EYD7AdqRuZ+XAGLemcSw/JOWlIabwpmRW/MD7s7ndd c/RP5rKMRKlL5caD48X6KHa9ViAiYNQWg2osNurxY8dt17u77ZFHn7Rvf/N75Bph3UFvwD2UynB8 XhiJ6pVrWiGlg/proy3iI4ftRjSISN/hCHnutA0Nz+L+e+yxJ2zLRZvtsssuZdSMKBH38/77H9ib b77FdAs6Vhs2nM19iYnThw4dpmLCipXLWcl6+eV32TI0Mgr5mM0cIce1AZeN9AmXm+mbjO1BU1KB Azn0zrtusy/99Zftj/7oP9mnPvUJu+POW23NGmFIEdkySgV04ZlIlzQW9WKGs+ffcDzZoo12UfXN WB3KIf+iybIk2q+11MNayAhmgVLEjldfS6JG7EFMogJfCmuFaOndd9/jXoYjLlekMdZfVQR8svuD vewFBZ/q3l+727XdAf3EFKqUZRDRFcE9RMdH17oFRcww/JB1HpszN6E7MeLtptjOlg1VAGws6isj d2SJEpFDj/ukcnpvcKMjvAkhE2BctLnAe7JsqoY9KQWyVC++kiKvrHV82oc6xrPCzMgWFpiOr2ZT Os+4EVRrerrmnpZCz4rj3bPWxe+BkwLyJTc3NMkBClf5uRVO4Smo5cS/8L7QrQenBCDn8hXLbBJo H70AACAASURBVMtFF1BSWZXPSUYbCP/h/S7YdL5tufgivT/Jkeoor1B9QYJ58kiKeOB9GbGk0cXv Mhmlgo0OD5FXAzG0H/7gx9wIN910vV17/VU2d84c4YrwZDGm3hUE0mnvtXIvJVWCniOIzUajRBLs jFROoUiKViNOzEZBACkcwGg1RtOgxkAHtAKBcuEqHJy/SBVPORHyc6Ji66X+hLyZqI32orJwaijO YK3wMzTRv7LjCfv7r3yNxh+kyD/78z8mloO+0GiCj7YgRi0hx+PpMfbIBIalIqoqQzlTUVwoeGS7 eUtDD98rmxg+cu5559oTjz9JDAkAN8ipuIO/+H//0n7tk5+woaEl1Kx6+qmnmaYj4rjiisvswIH9 vH4YRkTDAMJ/+MMf23PPvcAzAFZ+NL5rX/YGS0RmIK01KUAsXrLQfuNTn6TyxB/8b39oDzzwsK1Z c6adccYyZ9A7DuhOVaqkecIfbIdyAii7Tzpdm2qnbU8bQnrCqpI5Cf9CjFXqTttQB+vWm0+JV77y yg7bvm27/e7v/Q6vFeft/fd3c2+iOnnOwIAdPnSYaw0e2MAAKsE9oUPYCfRBbtq0iZzFlStXaZp0 QQM8RAAWkVyCADky2ws52BrpttEZon0oeHUZpI/6PvFvTFbun39H0bKhIiOfGD4h69424GGhWUPl UZS0iWep6scmZI7fKtNIkTjY7ZDdjANDxjxL1iWWLKXDFb1KCttJAs3EDEFpZONQYrJLpIUhp6xw Ox6LpongvREtvfzSds4ovP66rays4MFSFaL40bYgvOc777zL1+Nr3bo19CjYMC3KhUiWll4hJ0MO g6px4pIU4ah04nR4MLlk0i0qU5j0zB7AfF7TQwreTlSp2PXXXk0M4if33c/NsvsDjIR62H7v936L 8+PYFkTJFIXNiCADO5BctNY0Ec/zaCYKFZCgnZrEPMGOlYYwlAENsTBKNYLtADkBriqziyqrhmm2 05L3YKsUNcxdYdVF6zBwANEv7gkVHa2B6A1Ma1zJIVIkppPeiCwczBU6MearUrbf+u3PMTINud1o qUkjyicPB54SNBM9a/W7aSAu6DQwvIigo7on7TIRmrvUghKl5o7bb7MNGzZwmOizzz1v3/ve96mi gEoVSvEAvjHP8kc/+hGZ5J/7/Gf596yxWTxQYHCD2Ll92zYWCZDGIaWMijmVIrxHVMJ4Acirohpa 8OxwwNw+FraMgx0oFgDqB7hUhRIpNdF72OvbzDhlSI3/lJpGFmRmxQ4UqACF/MvGCkem2Jm2YmfC cqk2eziVpYBrmNfMyHyOo72i5/SxR59gvyBkbtBuw0ym3bbDhw/bU089bbv37GHkhewAmNxdd91h S5ct5TzGxx9/3FatXG5vvvWWnT51mhVi9EUCannkkcds4zlnc913797D/YQv3OMtt9xI6AKDW5MW qRQk0UsISJSTYqGxOYnEI2IhoJixDkmaPjespunF0pGuywBl3OuyQiVwlD1fLtRvbE0QTqKNPp3w rahp3tf1T4NFkFNGLMh40SsmXSxtekV+emDy4lKHwO/t2PG6feUr/0hJ2v379tm9H7+dOtIg9R06 dIyKjHCGI8MDNmfeqD391HP28suvEABFSoJF5AELhr5HOTF2TFNUxA6GuhsePJjcIQ+NDVpG1/3I KA0aopzYrEX8KVXYDzk2e4yaRYsWL2TLAsT9X355O6MOlI1hHPERQ4ODdscdt0iKtu8LG21q4jSx BWl5M4b2FqoWx7Uj+gUWBLoFnivSdXlWD7cRxdF4+CZ3TSQOf0XvZL3G58zrbygt8U5BP4RgnwM8 z3EgZ6Grfr8YwNsD7ntTjvmsc207/4Lz7ZprP7Dvfvv71HuC5nlmeIjrF3pW6hSQQ40qYbT/SFED RR10avQGu4KcGxVpfEugtPoMcd0wSojo4AwPHjjAA4P9jP3DFjT2jOI8tISncmR9lvpTmM0HA3nt tVcTJ0X0FkM2xOpX1IK/mx2kZzIdYfRVJVcEPj4xaY888jjTTChRrFixgtfPadXsBogp18LnMn20 iziv0sbPWCHdsgXpCRvvlm2yi6b8j1YKye63llW60zaYaVohJy6fhBRbli7ofRFBwZjgfYcGh/ks kW3AMCMafO211/l8HnjgIZ6XczZsIHcK++0f/+Frdtvtt7APcviFFzkE5umnn7V9+/fZ5ZddQloG zuS2/dvtvXffs7vvupNYIQIcGEBMvYIjgfO+5JKLLJfX/fZUR9KWlXSGxsFz7tfAoOQwvCzOF7ms qnSvpTXENCMZT6SNq5aP6G6PP1IKiKoOuTcY2AiV0H75kz4ZWkQVTCc9teDkEzKMW2xXiQNDVjwb XmW0ROQ027tnrz3z9LN8byg6onkWHe4ztYa9sn0H9ZXQKT46OswK3zu73mX0df31V5PvghQzPCGi pZApiShGFRT5MU6nLles2jWSRskup5JDicKBSaOyt/OEDC3wNaSp8xfMs9lzZtHz4A/uHTrm+BMc G5TSAYh+4tfusbnz5vS0lhwch9mu1/qKEohcahIHxJoG2x8HfHoKBs4rtd3eyCqNlvfxbPTaiBDa mkRTKCQjwyPNE0eKoY9wIK/QsYe07f16fD4+cBX/FTgOjV3O1qxZYzfeeD3Tsycef9pev2unXTSw 2YZHRvrUE9JseIfwSS/d7CkeqM/SlUSxx3yCNNUa8PxSqP6hsCJazraXt/H3AJgjSwDfa/36s1i1 hUoEWOaobiHqQqSNwgjGugOnxHvjvICWgv0O/C5pAqdBzXAcfGQOIS8UhQllDDKkwMoQUT/5xNO2 du1qu+zyixmZIKGj+ghVVDBJ2fWoaHS7hDlCb4w9gVS05YgRK7Gi1rGitW26k7dqN2etbprRFMaQ FLozNpipWzmnyDxaiOBMOrle0IAICHcFYzIHA16yWRI9YeQRRcFIv/LKK3b99dcRw0MVHEz2mPcw NjrC34WBh5ID5KqnONqrw79BD8I9wXHgPIAyhPtBpIa1h1PQgFw4Qs8YvOFbAn5s1ITCqETMZL1R 9VI5naRNEPWY5iE6gpwMsK9p6S8hffKqUhOppacCkUiLBiFPEFWdSA+Ao1BArK8SFfK1IaUso+aU BngqF6vTvzOciKzyaJsp0Pj4af4OmilhGH96/0O2e89+WngQ2cZGx2x4eJCb9NDhQ7yOy6+4xO68 61auQbQokcVNPfUYsa4KTr94gdo4NDVX3fI1RjxYw5CzIf8ImlaogkI2ttm2fEVYXGz42bNnUeAf qp8///kv6HXx+2hROXHipH31q1+3jeduIEcHhpDYhes0kX7ClM0nFaN8zdYV8FpUcaWSKukFTUZV HOnm1T4xQgDc9lJuet9Wk94eaUKprFI+azSMIhBBKUIDZhl9XxpVLnWDj1BYkvRdP8OzxV5D1e3O O29nVem5Z1/ktGdEkm2oT3powD2AIaL9yiLRTO9N60HaRMqoqTy9JnDSbXwUFqKjEydPOj3EbO2a NcSjcGBQRDl+7JjNnTvH7v7YnVwbtJAcPHCQAxgQCYOtDQoMeFm4ChA8wc0LjiINU6I+q+hKfaI+ dAMOrNNmJPPqK68yuvvt3/6cnbl6JbtKMF4LBjd0oHDmAh9s+oh6jjBzhj8hGkobyaiV0jWrsOm5 wEgLNOB8qmXFTt3y3WnLchq0hAwUHGB0mNM40ik60GuuuTqhsDz15FN26uTJBB6K1q44q2E8J6em kq4UrLHUelM0UFivDz/cx4oq+GTAvzCGD3YDbP+nn36G8jMrli/3oclyiNKGV8ADiIW8t+inYurl bRDIUWHlNT9NI6akJyVrF9NHsGh4HSKMmJTLXN71dEjoI8YwRe8swqj37PUPYk2qQMJmcIEcl+6p os6RT2NxnlHIucTQymiVgHTFoYNHbOHC+VRiBGgKbaUXXlCj5ebNF9qnfuNf2bq1K2zXe7vsyNGj tOLQFIJOj8ZvZfvGYamo0MgKhwpNMI4I99QE9w2yK5QcovGb5VoYcS/9BigeE1lidh0MfxDpQHS9 5bab7cqrt9LTwtCB7/W97/7Q/sP/9Sf29NPP2/IVK3loOoU224+wwZHyAdzHswoxtFxeGwu4Dkdg +RdaZUDroIQMB7xqik2vdUQVpA7wEAwRcPUK4AdMr0AoJtYIjFMyRKKyyMgHgx0Fmo8Id/UDwcnf KZs1exaZ3fgCJoSIWIdV+uwdasvD0KqSiV658LYRtZN/5HsHz4aqG5RF8bK/c+lgwG+77RYB8pTi luwPPu+WW24W8OuSx3DQAwNDCY0hnBP27yUXX6zPwsRvvz+ScF0BIeZDci/72K2Qig6W//sffEBN KzDcr7jiEquUS8n06VxCvpaEsZyDIqloowLMwNexA0TYIY4ljFcaE24ydRtK6/0U7QHsD8HFOHFI VXOc3qT1kVFAlBMGC3sQ5xGUDxgiDU1J25rVZ3LvAieePXuO7d2zx+bNn0cV0vfee58Od/78eT4j 9Bj7ClFlZZSZzbLJG9eBkWzUqF+2lDrxCIhCYw3nMowiIRgETxyDDVyljLJ/RcQ07zAPFcvYcEiV GqzCiawZ0iAxvhtWFQqfpXyQPpUeSmBOTOpoQI0LiKkckc5ExMEG5zCALlCvVEW4SsKQphqEeuSw gHv3fmgHDh5kF/s999xFXg9aR158YbsNDY7Z5s1bbHCwZOOTx23N2lW2bj3C0k5v/JAbbR0+5zB5 AzZ5ItVplyHR7wBwPnHsKA0WDJtC/xjcAe0gDaZAhILKmBqVe8KG0GFvtTRlqN2GxLOMPwoW+Bub ASX4efPn2n0/+RlJjqjYUJ3Unwx7wbJIcwCqIwJ17SNX0QA4PjOj4grakqAqOg3Wv2s6qQwRnClF xNQBd5ljRIYxkIGq/GzTQLolQTpGbiRE6g/uLxQue2HVR9SEkr8pFjlQpgQwjBXAV+k3OWDvqhdM w/G8UfwhbtXHH/MhFDGbIIkcaYD7ZFRwTc7Kp26WR2rtDvaZeGqgaJw6dZzwx6Ily/XMyGSPDEB8 K7xeemS9wSo9PTJAKqFq4hI9nQ7vDxEuDNZbb75jL76wzTZvPt8VVX1OplQpud/ZssSR8cIUzWdT wlFRABLKwGkMINUILFxntNEwXfQ5CbxynlkwAVoYXMloMwayyjAasSrwEf/6r7+UND7fccfttnDR Itux4zVDgW7pksVUh7344ovsjTfetPvv/zkxPlAYfvd3f5tAPM7P6MiIXXXVlaR8wIj97d/+PTEv aMzDkJ137rkslEDkDykxCl+Q1QFMMG/uXEnhpNHriYZ/VKMRLKUsC2IYPCgiIXhjRAcU4+vqZrn4 rh4aBEU+JPZhqSIUc+oqBBbRgd5LVXiAfBR8kEs1+MB7thKWcE9wrTeQIebkCUPiMAUXIIupNoju 8DusSHbadur0KYb2wCgWL12aEF6v3HqFDQ6OEcienDxu9Tq8BTZv2pppyNOo/BphrUTfUBFxuWAX 0ENEg78LxWpySID/gRzaRmsEJUGi2TmMNapZAsWJ77VT1K8GLKP0GZtLESsdhVcdsVZQDQDV4p6P f8x++P0f2V/+xX+306dP2e233cRWIhyoYEbDYQhPUbNocL8iharWJvnzgYEROgyIGqLnjf2EXGtF xoyqgW250ZCBVYtKLwrRzxSJ6vUa8+5YWiiThnWKNCKJtPrkoH2wArhQiJDP3qC2jNDbZx8gDGNL fZOcdRkabMkADFf+cA2s/rQRX8RFvWKHPlHEhRxU63uJrU+cLAQ4RDMdocfE0VPEZuVgQwwQOCSH wJI+I1y137nj+8A0q8eP2779B+3vvvyPtvv93bwXRFXoT8Wg1Q0b1hPvCWVGxotpVZh796EbbDu5 GrAHnrVa1wSTRKoWo99EPWlbo6veVN6va+4DH1aQEYNNQEHKMPs466x1jpnJCYyMjDLzQP+gpsxp vXHuLr30Ejtn4znc48BZ8f4LFi502SHRfrCfcH8oKgEuWbBgoZ1zztl2/vnnSXCx1bDzzz+X7w87 QuNLHTdgoyA3ixcYuHcWIWFSRXJh/5DbTdjPuDUsIAxX8Gr8D7EmKgFKP0jlakhd4IHXyE9Sr1hM znUVUH+oeh69qTGR3vVHWwS/WaoPgTp9D0A2psyiOoWIBfkyxMAA6oHTAiwCkUirhYGgGtVNIiXk VFAIAI+q0SToDBX5aqtjw7mUdZ2b1KsLC9QHKxubW7IlGpYZetekA2AOolc2qW7g6ZImywQmB0In MD/Ma1OTMowiDoRSYSmgKoLVfQJv+41P3WvHjh21Z55+3t54faddeslmmzUGw6OKFFUQPPLEQ0d6 CewJBjSAW1wznU8XTPgSDQz6K9kEnRX7OqJljXOXtn20R5D9krRniQuG68O6QuUkuEbNlMB+0F10 z8H47hXcw+tjs4DKcO11V1NiBCOq0P1/1ro1XkRREz17JdFw7P16JVellcCcWrE0okr8t48IDSbD bJ3D55LISgmF18UINPL9oHLr064JgDueifWMaAR7DDMPUASB4cFADSo7eOsUUuauTdlrr+9kSv/U U8+TlIz9ALVNtF2BA3bTLTeoHSf4ZijhA/sEW52cpBjI68NC3DCCfCvhSux9dZhQPNOHksbUa2Qp uLYKMUitB5nl2HM+eJcRpwEw10CImNak8ykdrHwe2G6LEAHTNIOzLFixpPmXnU7Tcnl1hQR8o6Es dTtr/WorD5Q40ecHP/iRHTp80D5+z12sWFdnpvhZ5TJkh6TdhvUE2ZtDnVnpjXGDDWBYaQ40RK6q 0Uehax19aixzaQKOC+axb4sHWqO9okdIG12hbcvTJiw+wtwYPxUeo+c4euOx+9tvEgav5/7K7XsK jxSpA9iMQYyufYSKy0svbrOBSsU2bTqfSowyqj0+CyuLiAbLg+QpEedAX9N03WYw/xC4G7S1wJxm 5cmrmtWqvJ5Ly2JZcD9sRnZWcrDviWlEdQfRKvkyiCbxQHRcpeHuWkyo/qBNxjEVao95Q3b0Bo7N GmVpPfhN2khekWUKgtYFtFFpqEMUDFA14qAGj77wLOC5gr4AbhaHnONZQZ/chd3Uw6k15kGmNrua q6Hjr3Rez0ia+yrKINrEMIEEoPd9wJYjSiJLKgcro/dVFAHWOL6PFic4cRpU1++q+zqE4gHxTRIQ sffUvE6tr3zH8qyH6VijOBStYcBdgAfu2LEjwevAc0P0MDI6rKjLI2D0WrJBOtcb9xVjrjh5qdsl 1w+UiHzhPALGodbLCjujz669+OJ2+8bXv8NK2cpVZ9inPv1Jvm7Png/Jzdtwznpbv349z57kb3rK DjEtihX6MPhpV0jNaQip1sidQAhjkmjZk7Mhf9KJ1ezdhSFjwUuClZAAogHzIowcADyTw0Hezxi0 F3Xn9eCIgIZIl6HhiGKSaDds4B+q8P7RtrZz506ScPP5rF100YU2AEVf36uBF9frinTjmuPD8ZlZ /ID6QD7KKwZF4obUgCoPJ8Z0jYRHGI4ALrHpQzgOgFkhD813VaSkwY0cXlLJ0o6KhsmefAWByLTS jgDUlQ70AK4Ij8XMVfk1JFtZ1ZyZ4XTdnTvfsi1bNtlFWzZ5c630q2KJkdbAe2KR6JGpX4SFmrB0 dcqm0BICoBqYAA6WS6DwofqwWE368ZFkpF3krcVJQilreYGA4QiWL/MrRQJEQx0BwgBqo1k7ogFi 9Py+y0pTmK3lkdWbDL3hqQeHlApK3seHr6JcX6qw91AjnYK70wvlEWrjc6enT3POGyqfSqkxdFVH PaFvuBOhDlgw6Tn1OfA3T2m9WojPk8jgtEfbiprp0IAR5QUhoBk9euVg8DG5GOVyPCsQdxcuXKCI lYoKGvKRtZzmUXoFWYqhMDByKAS5HTujEgjoGCTrlhntoG/x5z9/gBgZqlWwgdj3MFoaMqp5gqjA Yu1PnZyk558/H1F6jiV6VJkRwYHugAhr/4GDnGgDgToYUUT0fKaNKlt5fvLj+0mLwBTrO+642W6+ 6XpWofFeeOSgs0hkwPdwU5LSSWs7jbzGkCnT6SZVe6ThUbRSMIlnI8fec/QyOCD3Ent0TToaeNeX 5+dSdFLih1Qe9jmgVOngHpf4AKugxL6UWU2MT7KKjb1VgOJuF84b/EpFobG/U6kCo/ALNp1LAuqr r7zGqBMwyYWbNtup00e5X9iXmc8k8ugSuZQRC0WVLKay4pvZnN8I5USgFOpC+WlsONEecBNDuREp VrKJVlWK0ExS2iTmd6FUJl4Uo6nIY+IACB/x5CAuPDbAN872K0D6I9/Lw30kOGe+sfqiPkc118Kr 4mFDhgabzKzeaCUEUrwnSqaoPHAqS7snoAb8ASkrSIIUBuPzxpDImhnm8aU6dgqqq2Ddd1vWRjSQ K1oGE42B7aFaiN4t7CPgGMUKB4jC/XRyKL1qhFl4JmJlyZQgl3sOuQ4YCaYQ0r1idOb8I0nHdMhj gYAbPPO9995pF118Ia+daQ1anExgf6UAxUdFy9FWRa8P8N1f7wkuoyxEXcCz0LKCz5qeHmdDNKMq Z6drQ9cFdLtDkTY9QGs5lGh0D27PTG2KhouDBLzwAnlcpOJUeKX2t9bkyJEjHFmFpnNgGRdfchHb VnoEVaVzUbEOSRQqdAR5gbpcEP9TJQz7rUaCMvBVXHfXDh0+Yv/0ta/bF7/0/9mZZ67i3sVhA4Hx Jz++z1auXE62OdYRBxFld0SjF1xwPh0UFAhgoAAwozUnpnQfPnKElWas7ZVXXsl7RjsX5gkCqMa0 my984Tftsksv8jmSaWqgRxWZVXPot6GdCDP4qF2mXk98qfCkAk4myKMUa0SU6VmJt2NFMQi/z9H2 PuiYe8pVESQpLg0v/IwQR0tYKAs1fL6Y9q12LJxhOLWgpchwpOzA/oPEGwGo4xrAZ1y8aDGNUC8Y UW+p+l/Tdulll5JRP3vWHEo9P/fsNhsZnk0mPbodLr54C2Wxsa5RKVTULg4XNbNwYbDYM26Q8MCQ U6P6xSqhT/UIbk8ddAeX5uXmYAkYBiNrFXS8T00lg0HhEbFRUVUgeTR6iRzUxsNtk59UZ7QdQD42 aGhl9cta4HtkZXvfUhgaprWDg/br/+rX2DrxxBPPEHj/3Gc/ZRvP22Bz5mI8kpjy0liSUqSEBgXE ohozAIFCPORW3ToTJ2yiUPEWibLVHRahBnY2ayBqcISYZaxSGrKBHIarptGkZDAhOE4A1qFT1Omq bQgGllEYN6FE4vCm2KzozwLkWm/WfMqK5uyFljgUBPDfC+bPtblzZ3uECQ6CqAb4AxySgnbgY4VK K6NM9HFCcha9okjXUChqWr2NQoUczeDQmFWglzR1inMJ8X6BMyISkf6WcCtFYfLmSO2wqRvplI1X q2Rv47Dk8jVWnuH4Yi4he+ngpEAFobZXk5Wyv/iL/86N/4Xf+gzJhCE5nEjZ+LqHnFEyRMJ7CPE8 4Gz4B32nLTgvkJzb7FWbbk2T9wSSKCpVmtGIQwodrZx95zvftf/4p/8POWA/+MGPWb6//Y7bSWj9 zne/S6wKFTT0IeIMfOmLf2P33HMP//u+n9xvZyw/w6677lpiXFj3F1982Z568hmu22233WQ3XH9t MgwjDAgluuuavoP9Nzo6xvXC82k0xWmanBznM+MwFM4ZTCXFDunUK6pnhkBqkvOyfAAGScMYIefa 7Gwpc1npIIbDGBB7Y8XRCdHR/uP6W+x6SWkATSqb4yCMr3zlH2z+/Pm2ZctmstS/8uWv2p/8yR/Z 9BQ6KdKMXPE7uYxEIHHOhgdH7brrr7fzz7vAtm3bbtu2vWKvvvo6ZZZilCCUS5Cic4J8BzAUBECr yupQdR8eGfPoSGkfuETYnGgI5veZR+dYHi81GySRzZ2/QJgGy8RiG4MHhA+EIaD6o0cOuHHMN4wp xV3iDorY8Lso84p0qIoCRxY5pyqASJW0VXHUVFmkKap+BIcM13zppVvoeb7xjW8zPURTLfhYf/jv /8DOPXcjU6AklW2p5SgY+iHpEWRZCeVVzeots3TWBjE/r4RpPKIOwKPXqioslNJFK2Wh5CjMg7rg OYTyaiCegT45vAzD+IxVIG3MuXQwAlJSjfAc3euhvhiSHjBcmM2Hqb47drxh69evtfMu2Ji0QWVa HVVsuSF1aKDGCTCdRt5TdzWohzid9/e1WwTecf9DQ7NsaHi2zUxPsHzP5wXJIaqNphgdoTdUVBNF 5AEMQ3rnlw8/bn//5a+xfL927Zl2z8fv5kHDxp8/b46tWrWCz049bGnbtX2HPfHE04wIPvu5T5Pz BMMchZ0eD88VQWPMvEepUflj/2kuy9SHCqgzM1admrRqfdpq5aoVinCuLjgZxGanysB6ozC0eMkS O3VqnCRH4FO/eOiXjMBef+MNDkzAKHnsCfwcRF5EVQ8/8hg5RCCeImqLyuJXv/KPZGtjRBmKB2gV g1ItMFXsW3WEZC2dQwVdKS2eE2AI9NhinesNZSoU1fN1SDmnD1EeZZx9ViaxLhpLJ6eKAJGMDUZL Gp6DpLc1EAQy1ZCdBjxOYJ6KJ4rkOLMB07DLFa4VPoetV8gk2m37wfd/xFR4y5Yt/LtWW23r1q62 J5982vbu3ceI9OwNZ3Nt0MKD6AlO7dprr6HxeebpZ+zgwUOkIF1++WU2f/5cyvi89dbbjGSRWv/r 3/y0lcvK4uC8JcDQsizeSHpJoCOgX0xERnwfqUCkFqxcodzaUFmfvKroOXT9Z3BeNCWk3TcNVxIf motW5IbVoorkF2AjFzmZJNwT9U/IpRxQAR6AE0pdpC80uqRckOZgSZRRN25cb08//Zy9+srr9vWv f5sb4ZKL5xI/2LFjux07ecDWbziTlY0gW0aawwpJp6HoBVpcaAWBYezmrQgwHq07mZSlETmAQ9Vu Wr3asTS8PTyTt5EgaqRGF7TSi2UrZiHrW7eJVsq67JlUMSDXSlmr1rJyHsqtMlbSKRN4AHBf+gAA IABJREFUjfdE+RvYzvbtrzGKRBvRvZ+4S1wrJyfGH3w8p1Z7hUvNwkrfpLOv6TZR4BD+M8m1pox0 eZAHr9WGjpiebzD8ETGKu6Q1w3WCof7QLx4msRWscGA8AJz37z+UML8hR3LHnbfZjTdeqx68Zste f/1Ne/65Fzk49GN338EGWnFcQjhNlAHhbDHKLKm7fETIj8aMlcu8pStpRvmgFYjEbDY0MMh5h5Bg Hhsd5duD3Hj08GFGXBBjxLWOjI6yaHPDDdfxvm+8+Qb70hf/1jacs8Euv+xSRuDXXHOVHT12nJy4 kydOkPe3b98+W7ZsKbWzQIBFxfrJJ56xnW+8RWcMR7d40XxK1wBsBo0jjIt4XcB4O4RFSlaRYXGZ 4HCo7aaqfyT0NiQtnVCBMB4160odBLsVcbWyIBGLt8Yijw/8wNpQz82dh6YKuQKHzx0Qdiy1FGrt I+Pomr27C0oXV1DzDREqNIqRJuO8wVitXbuGEd7LL73MQAH3/MMf/siee+75RKr7jjtuY8p86vRp OhsYNTwPrNvKVasSB65hGcDXkB630Eso3Ceqe9E4C4M1TU6RStw4SG00gXqeq+ED4ixRGtcrXyTA uaGJChLTEdw0kX/hVhxEgX63pgiSUZXql5qFAmewaaT5rvQopvxqwk4f56Pd5ubfeO7ZNmfuGL3a sWMnGHI+9tiTtnv3PsplvPXWmzY1PW5XX3+pXXQJqjwDSRUN6Sv0vlGSbzcQX3u1y40iaBQl7w2D R8eDhDHDVFr1RKqSxc3Enj604jQsBzXJXJaSL61O0/KYmQhsj4oI2IiYxwudI2FEqp4pmoSBQW7/ G5/6hD304COUP3nwwUdsyZJFtuXiC61cQiqowkn06vWY9b1oLRQFEB3GuK+uE11hGDD5uTqD4akV MuJTDQDcDetmZKwCzCUgmslao91m2f773/8xWdtoFL755utIBDx2/KS9/fYum56aoTAfJr/AWUBO B4cS0Qu0puDdr7nmOlu9erX6QuuQMeonavZUOhKSccLb6ycb99RCNXF7yJUjlPaBfgBDgx7Td95+ 2yc3CxoIbBFqDWjw/XDvh+SElSpltnFhugs+AUA6omxRR3KUcj5r3VobHx+3Rx99jCx6FYRAA4Cm XI1APYzhiePHiZdhHWDQrr76cjv/vI0kWrMKjZmLLFQIEkHkTF057++TGmxbEdPMNM9AyF5HvygK DIrWXC3WUzucSbbygOiM6ApYLdUPCoQRQutfWvY6e9h3wdYnJ89FCCOIiMpAEGbFmYQBLNmC+fPs vfc/sB2vvS6FknyW0RzakJD64xxjneWQU4z8AOGgVY5dDa02m+GHh8o2NjZsQ8PCWKmRzwfGCwZJ UZs+LjRprkV+6wxw8D84XJQ9P22SxjDyCA4bF0LiI8vBPaqCqnTyJFQxxfv3Ee1i+m4crGjXYWUw FCz7aAlJ4y69vqIHVU9E5ATwt2TpIlYmvvPtH/KAP/TQw9wI4+OnWMU4efI0c3Eoc557/jorFKL5 2oXoYHCIFYhAB4E6PEh4Jtw3xfqBLVU0sCLY8lhseDKE6vhvbA5UZIJgC15YPtWxAQYeXauzzFy3 RidtNfJvcpbF0FIaLN0v1gXSwbffcSt7sb75z9+1Ha++bt/81g/s8NFj7IQHG1nr55SJROJYEsLw poi4EPFxiEhfpTYZvmCIsjHxB5uoTKNVr8mzo4IU7PHgOB0/fsp+dv9D9txzLzKsv+bqK8jcRpoA tBATfSenpgmsQ34az+F73/sRnzkIvlgfNKXffsctTIs5vBVpOSR8MgX2BaqWEVXJeOayXP1CjL3v y/hIBkhtPQB6Z82ebb/2yXtt+7ZXCCjDUcOQIP1AqsLDWypy/DvOAiqH2IVIv9Dgi144RLZxUMHQ Bul6zZrVNHB7P/yQe6BULNrWrZfaiRP/P13vASbned33nmk7O1sBLDrRiQ4QjQQIggB7A0mxi6JJ S5ZLrCRO3K5yrxOnWHaU2L5KcYllRbFlURRFsYlgL2An2DvBApAE2ND79t1p9/n9z3tmlvZzV8JD crE78833ve95T/mXw+KHYnTKz9GvAz/H4UkmeujQITt65KjUbbu6nCjMdBfjF1D/YMYCW0Y7RpO+ mlcwVETaf6kPpkw3QYNCeI8yOTwJND1NPNNwmZYCisot18IP+XJvurvjsjKcBNCVpn7qKRKkKeng U1L2jY6U7aMPkZ1GiyxwY96rRZ2hs7PDFi6Yr0CKthZZFAc5E+/pxWlyS1IfLV9Q4KIk5xAYHu7X NJyDmeyVQJgP+kkW8buCI2Aro6SDGWtt854AI+FKSh85RQlebi+O4qPjfOSnR3pJcxRufRLnUxpf g5PkrwVSnBOCNDDAqoGulldhKDSIYe9E2pgKeTO2+qUGJg1txvrRfBc+KoH8yh2YPE7TYuCG9Ezo sBUrz7S582fYBzs+tAe2PGovbHvNJk+ZYAsWzvapWBoKiD+mjCkrcqgmdwoGCY+moUGi8SRt78BW lQf6ZdflI2unWxRClz0BZ6NMk3v0KNKvZFstNlqtGwkeMzRKUSGZW3wh4rK7fv1pggHQR9n+zvv2 +mtvqZe2bt1pahpP6OlJm8rBrFzPwb0H1VuAFD55Uo91dXYkpxI3U2WhhO4QVerwiE+OS6VOay11 SuEhgmetXNeGP3jwkD366OP22KNPKJu84opLlV25Uw+/V7KTZsxI/b6yNjzaSkiH8Pz4JxAD1EXn zZ2jtoH3cRCp8wyVUx0V78AHurhbRkjt0LwKtLwfcoktkSRJcknqxzOQFgXSxYsXN+AgDB7Y7OtP P92f68iQzZs3W/0oBxbzfg6ApKzxDCikkioC/5Itzpo909aXT2+UWzfdeK3uP/fB13heGTCZJpLY 99//kMphpr5rT1tt8+bNssEhhkCt0tai1Jw6ZarWh6v9+mFXl6JGToBRb57XhBUk6eDesa9waAqZ ZYKu6ENJ/I7748bASf0g9fSCoe7CiE24kSa8aTrnU2bPqFCy2HLvfVJZQOaZqerLr7yiZ8da5/PS vsBkhf7gihUrRB8jueAzHj16xFatXqnrYF8yEJkze7bK5pdffsUOHzqi3//ggw9s+/btVioV7cwz 19u552zEqp4Sy09cl7pKhFIQpx2dyrrgyQ3099rIEKNilAiLwvs4OMxlTtXgk/2UW1PJUblxinMz XHMrqDaMZMP4QGVniviBF3LHjOQGA/o379mCs8abRhNCH7eOIUEnZDCBbfyEnP37//B/28cf7bau jnF28rwFNqGnyw6f2GPH+4/ai8+9KqL0wMCwskCGAwQj7yOBSAdCwf0xa6HUIxjCm6OPUK5aPVu1 cnXEy48iCyhr0vUfcHkXlSbSJff+gKZdwo35BFT2SiMO6kTOOFcvW7aOWzLI+5y1ohCKEkZCLjPM ICBffMl5tmTpItu69Wn779/7K/tv3/sr27jxDPvq9VfZprM2Wnf3+ITBalEWSQ/vlp/8TO/Dz51x xlpbvXqlzZh5ksbZamrW4Uky4qYkK1i5MmL1gZq1t5OS99iJ44dttILP46BOQAYAf/yd7+oz/fqv /4qtW3eqspgGSjoRopFwptlPEGDTS+E2m7H//r2/VKb48kuvSAH0jPXrfIO3d2htuY29bFndG08G rakkBdKgJnwz80od9UYgi2maqxs4thD+k2fsrFsf/UfWwjehLvFzKoczyYhVkAx3OAb7RNnlUBgC wmBycmJdMoQZloxve2d7AuKGRn/RKuIqZuzSSy+QfPaWLQ/qHv701jvHNuV0wF5w4fn2m7/563bg wD6bN3tmg9vqX8jOONAU9yE+m8OLaLX4wR4ZM60LPqvW9ciJhu1bYQykITJRz77cwSoOh2BdUG0E NInvn7zgZLvuumvslVdeszvvuEtBCUqP/DWLRdHUED2kL0Ur5tZbfyZNt/POO1d2X++8vd1uu+12 3bdNmzZJa4v+JY5BiCv+5Ce32Nlnb9RhRoB86umn7Yc//LHdfvsvLD9x0iQ7uH+f9450PzIahYYK AZu3p2eilBGPHT2six7o6xO2Ql5ngwM2NDBopY4O9aN4iGCBuDHezyFgeR0sYTu01vPeiOdUKxSQ Q26K+cV4GiSv8CaSGUHZ292gM5qgeb0dZSLARhdrawJLHRFc0CgbnzsMKTrautXzQuDtwP5DyqYQ H6PvhVgZj/dE73FdK72sTJGGN1HGNIpnshL9FWFEwtAzM6IAK55Xf68ND45o3E6w5+FRjuEU4zIv 9K4ig/denNQScLsbGXFtJ8ERCMwMQDICmnrZ6TQUtLQXL1koJvz0aVPs+3/zd/bMM9t0Yj/x+DM6 pUNDaduzL9gbb76lUxibpXvuuV+LCOmd3/zWN+3Syy6xTHem4dwbi1LPI1O33t4jwmoxQXzooQfs 73/0D/bctueV0vP1rW/9mn3thmuVvVA+cdAJ45Oa/DHhi+FNyNYgSIgC5f33PWR33HmPXXjB+TLB bUFVUiTiBF5NeEBXuvVr40tBMYF0m9zEhn6NJl1qIaSBTfquenUEZbTJpOygnizZBm7D7Uldl15l f2IOuOECAbx/oM9aRwYlzEhwZz1wkNbqLrHD97yP69Zq3gx34DV9IvYF1wS2C5PUSzdfaK+++qYw XzT7yVTeeeddu+fuLfbs089KaWTTpg329a/fYKtWn9KQDdfnz+dVOpLt8vlYW8H5dQ6f8zaBK4wv 9Fh/3wlltKAAuIcOBwmjCyoDgVi8nwxQ9tgRTbEJbpSnLo/t2SavjLoC68+n9A6UFlBYVRDGL8M2 aeIE++r11yQnKD+4JGEzZYomq65u65N/79N5IP3d3/0dBbPpM6ba8hWL7Pxtm+wnN/9McKX8oUNH G3ZbwUMD6e0oWxQT3NCAKEtZo5HoCDSVNieopizIxdsKVtZUwSEHxSwa7YkVn2rhXIx0U2Chr6K+ RdEVBlhbfSdO6CQTKDU14VymOPiIwTeM5rw3E/kSl0wN+VAr9RQYK/LYPGRNMWk8euS4HT3Wa1WA ooxxUfHs61PpW1emQEno4EQndTrwNSyiaJoDUqzRPE3WWerl5f0hB55JMIwRFzgTP4qMIdmX64Tj vunegp/xwKviA55VqS2VwDTjTZr70mef0maXX3GpCKj33/ewPfHEU/bQQ4/ZM8883+gjgMIGTnDJ 5gsEYsQvDtQ8OJh3t39gK1e5OxCZZYBRFURTKcWa6O07pkzr8cef0OmIXDBOvdzjc87eZCdNm27F gk+ARSkBbiDsjgeoQEa7Nj2fKycvRrJBgiz+dduef0mnqjB9UhlNQMXG5DhKv2qCs1TGEO+DxxDr Iv49mdQ2HJeDruLrJoQjvVQHXOu91KbiAe0Sbz24CgT4tjBqyVk2lT8OL2mVmoQ3pZs01MD9xffl aNTaapOnTFHAmT17hvUPDFrPxEnqHT36yFa7884tynTmL5gsJVwa1VdffblE/uivBUxF60trySsV 6dyDMVM7g7KPz8u0OgKKg29lZpzI3PJhSM7VjeEGzjrDwzZ+gquLxAAtMHARjEGlZ1DsSMR7CQcY kuh9boZcAyYBrpOBXqswmRzS3Ls24axcCFR0LXDYgLRrNfETFfiLBZs4aaKduXGDMjdUSvK9vf3W 1Un0dOQ4kTdKBKGRcwlikMtbe2enDQ/ilpzkU5JyAwGKC5aXoLSkwhXa+2Ok87LBZowbag2pps5w KqVGsNJuyjBOZAJcyOsmcq83G51A7GgGbh7TEMorDxaAOXXKkwkVHKkvbqMoCSzSFmstlmzaSVNs +crFtvP9j23LnQ/Zp7s/U6re2dlmU6eNU2kSdb0L5KMc2bQbiwfrduVDDVKo89owj0hjeBqcCe0d Tsf0ANVnETq8YIW6K7Jy+mOGoV5BSudFL7E2GXZ4oEuBl6BYLOqeT506TZQPRuXbtr1ozz37vMq2 a6690ubOmW2LFi+QwSXlBmUZDUyavu9sf8+2b39fJFzei6AqupLuf9igZWy4PGzvvPOmbd/+rqZk mzdvtosuvEiLb/Gihdp4LgHj+uD0wFwqOtGCQpUz4eUw42Txo+566qmr7dlnnrc77rjbszSmXan5 m2WzjVHwUKZGf1n9I5e/oUGvAzDdk7EiXK6JFXAPXscNVZpgZA9ubOhwYnJTUj+UNCzKjOqQ1n1v 2Kh58JKpSvrcTJUDRe4yycGTdSepsAAT6R0kNw3vlqIa8lyypnW1um2+9CJbsGihWi+86pYt99v2 d7YroM+eM1PPU9jBJKvk+4tqqKkGEowGZbVS3WAY0KY9GCWzgKcNz8kAo7J+wakxuHKH9gaBPx0c 4hqiAJt4nY1zwpzOo8zWvBIggwX8yuftHtcjUDExBqXfAKKzbwi8PtSqNCSAPAnyKoHMu7O7W41+ CfhxLURBUrbQ5QljgpZsXshfhLa0CJPCY3zYwEcFnid6T64Q4ON59zZMpqtJfydX9OZlNNcpEeVT Bq0ncRB9QaXpYJpwBO4mVa/JfMK1u6M/5s34pEDJODYtGH8d0PRF1cxXX3epPfrgk/bOW+/bhzt3 2cRJE2zixPF2yaVnSr+qq3u8HhrOPeEF2JC/SQFFZhVY1Y84p0qqiNkWnTQhHEeqkSswheOBjFql 5o1kZRt1l58WIFbwjiRhIpQx4+4ha6FsbnVfwiCWBmk4LLQIVuBicHoh6BGwxnV3Ca+1cNECNW/5 mjR5khrzDz/8mKzSMTAl80Pznj5lpP21rJcXDCzefP1Ne/HFV2zX7t2CLJy1aYOduXF94psmkKJ6 S4A4WxsLF34o5O/QdhcglvE5a8PqsipfsXK5Ts5tz79gr7/xlvVMmqjGrd/dxK9MnMh6LS9isyP2 aTSPfsmMgwCiQ1H3J0QF3TU4I5nvf9TzGlNCNkXtmhNoTcbkElS1nBgBHuwEEB32Jnlw90JwUOV8 wqyFn2CDR5qoTnrtlO1UqiH/y/6oS5xx2SnLNVHr0wbP2Z4v9qgPu2vXp3byvLku3ZQO/QwO3KMh skii4dPCMMLVGsz5QVGppH2dqG5NQnPuS5AYJ1176yUV5EnmOjFMUoXjQTGplUCxQ10j3acG5xRb Oyqy0WEF19FRD9bAH9BoC4n1EAsIfwaHQAHuLksri8oBVkQekCWbmhLMVRWANXgqR+9E+CskUE/0 prElMAX4Rd48llh+R6cyK11wysxyeaeHuHJDcvnIhVZ74Gt8EYeoX7XW73ZiqqNjkhbpezOzacrS pHXH6D/rG1+NegmyJcQ5AZlyEHZ6AuqFjMf5F26yKVMn2WMPP22vvvymHTpw2F575W0rtbXYtJOm 2zSgAigkEOkTHCMLHzLvQEV/b3dydl17B8WR4VWtIp1sNrP0rnKu8ECzd3ikLzVIE6AvPSzZuYtC 4wh8SRRTMucK1lGcYEUtIoYXDvATeDBlnHxx4JClnHfe2fbmG2/Z448/LTIxTU16ioGT88ZyscET JTvuqNft8KGjGifHNG54eFSSL/RUPvzwY/VoCIwzZ02zE8cPacLo99wDLIG11ObEaySbXdCjKfEy llOpIJDLCRZwzTVX2h9/57/IM3DpsiU2efIU+TAqOFBGy/Qj5/rsFUoeb6LL83JoUGj1YtV5iy0N a6wkwCicoTfAsZwii20g6FOZGO0B9xL04BPTaXqmIPMbM0g2ZuLZMTWXwoZUVsnmPKvheXvQbMok +8HsFDdnh3hWqC5vIo67mqfbs/NaNMTXn7HO7rnnXpXiu3d/qn4tG94doCNx6HcJHu5TPatDjjeK 8k8en+K+JaVVmc44ZClAp6H6EAR4H2p5IG1CWXxoJOWV5NOA5XgoqsjrgaSjIb9UtGyn9ywJ8q0l xCDLKnGJOawnVF29ZeCHWHglxBCN6fJ99z5gW35xn3jB+Z6ebtXnlClsPBZw/4kT+gUmWBMmoLvD WH6ajY5WbN/evQ30q5qzeW5yWxIQc+5aruR9hZC6ZSM1qRapSecdp4Shcv2gdlRLh4ZE9qVB2dDP 0ni1+mXMTWq2RpblJgqe+bAMGj0IOfdkrLOzJ01XEFMJcbmMLV22yOYvmG1Hj1xuL2573f7oD/+b Pfv0q7bp7HW2aOlCq1u7l18Qnsc41Cq7SRIr8Kt4b5fGTWJzuazApNwny1WtnuEPMjKONlZjv9Sj YYI+G9QfNdyzagiLeTBC+TBieazdh8o2noCbJozepAcJzUcOB+6aspZLLrlQFJL/88Mf2V133Sus zMWbL3JQbK0uCVsZZmYyMhbgueNWcvddW2Qmi+oGixmzV7BHoXywYsUyW71mhfVMHG/lqmvWuzBF 0unX6e7O4NWRqqZi4a4TTzyChcrEel066VdcdZndeecv7JVXXxNOatq0aQJxMpH89NNPrKu7S/gz 8HUyTNG4Hs8BR29TJ1aSMJ8VWgTuhf9H4AiMoz6DNPm9KR20MY+3iTObri9I8nGIhNqBLNbTUIIA Qa+TCaCykQT4dCkd1iwk+CTDIwVappI+eCLLVN8HkxD1OynVUn8IIje6+0ZJWtRwZNasWTqAdu74 UKauqH4GOj0UbgMWwuCDgEoGKjJzpw+fWlpQMvUyTh6VMFlyI+4doPKbW+KJAO8tEQKBK1PumQxq 0Xzj3nPwavhVdfgEwZvKZaTOJJtmf2sDGoIxavgi8Mx4fa7X3brpg/s68Z4jT4GM0Id6OPjcd++D mjj+2q9/HViD31yme2Ck4PQcPnJU7GsuIjIHPgijyerUyWoul0ebaoghjs/m4eFyIgXBWBOSlGmp XEo8ObfyTsoFKaSSmYkPNzSo6Yej2tPUgwfLid6g6jQ3wVhxuGjEB8hN/CjzDA6xMNRGR2tDQrO7 DK/3CiDFrjntFPvqDV+xu+54wN568wNbtHSxMpOYTHmK7DQl6QXJIy8mJ36iBVl8uNanQHBi8JCn /8A9UokxhI9fmqZoYaeA564vGcvHyZfwVDSa6yNDdpSJjcwEqqLfxClYriA/6KBZaUuN65JCAIBN DC1u/smtKpmuvPoKaX5P6BknmVqyJkpDghKb4dlnt+kzAt5D6oOgAYfx3HM22YYzT5fBaxjmuhXW aGokp7KnxaxSJOvzE90hMyEplMSxknaZ63rVrYzbd6lkv/ar37Dvfe9/2l/8xV9LvA1n5LvuvMe2 bn3cpk6bJstzzAs4ncEF0qy+5OLzGgRgyPcELxDVyPQ+8tCjgm4gNTRp8kTv9yQbLp3kyYoskN3p QTYs5r1f6M+GXh2fm0xysNKv502PU5kDJr0aSPmEi55R9IBdIcFLoSjVOJjDAKKl6H01AsDIcH9y //FMTJk2vNyRITvjjNPsg/c/0DAF5Px//u5/tM5uJ3FLpqfW6q7nySuUvt7AoEtgA7khGPJ+r7/+ hu3dt192YqtXr9Je/7M/+56kxMHC8f7y3myD2ZJ6zCmoKxCnXvLTTz0ljXfcsT/55FOpbfyH//iH yagk+mLenEd0cULP5KQu6ge+Syv5gSf/g6Qw4aWoB3P2CtkVgGOgOQxkLrt8M87PlB7ODRTOqJCV Xx9grUIB9cYkRkd0RMmyWLTeXteyVqOVaUFCVPOFXhYPMBrWQ0mUq1b1yRwPT0hm8clcuztOCQnN jXrzXhgcSqk0HnfZZqcMuIa7BwnnEvoCazTEU9MWMKasmUZYiP4+LS0lKw8RMCLQgbfic2Zt8tSc XXTpuZK92PrIc/bRzk8lnNffN6BNzYOYNfskW7J8oZ2+fo2UFEMKWBIxwrcw+UBxgUXncig44dRB l6tv5bSWcs0zMQm2EX2C6tDQO8pbJfUS+Rod7LUiUimUoynr5DMrSGZ9I1bKVR0e3B8mnv/iX/6G JHZefvk1Lar1G9bKmRfBud/79m9LRnrbthdUarAJab7/8k1fk7yLFF6l3NGq4MUJpwWdepcepF2r n++HY0+0AVw33bPpcAunpRC8T31WqS+4hO6FF55nn3z6mYCVP/nJz3RYcs9nz5ltB/YftHt+cW8a gXtJBwQDSZqenvEqU09be6qAqu+887797x/8ndDnZIt8/quv/op1dXfbSAYUv/dGv6SckVyCouQL 2WF+VgEk6Zd5TPMMzK3vHGgdcuChPhs+AH4IZy2blGkFz0kQnoY8Tso8woOSQz7kVUI1dNXKU+za 667UIf7u9nftR39/i/3e7/8rN45NC4TrQTwx7PfIrmIC6FO9nEj4QpCL9OwHzb59+6QQ8enne6y7 q1OqFLzOGx/ssCVLl0qJgUPCcWUZO3nePMnBoAdG8CT7hWfJ50J9AegMcAyGCXNmz9L+Ghrqtx0f fOiQnLaSQMvjx3XbgQMH7aSZJ2myqUGV7rvvRb6INzgo8d7Pb3vRvv37/87ymCq4DbxHfk0HUg9J Ka7oNC6c71b2UDyGnddHgEgNR96IkyIg/ME3I/iIu5Q2Nv/OxK3e3q5sgoYcnDUXZvPF6EqhvK9j TBzIlrFcPe9pvU5LtxULO286GpRG4ZISi08LqQA6u19pcVtbl5QfjvcdMMuVlSUFsh5809Lli+yf /Yuv25a7H7JPdn1mn3+2V5MxuGF8bX/7A9u5Y7ft+Xy/6BYrVy1J4/HUhyPbiClpslYP9LDKlzSd EVVmuE8ONpSwOL/IiBaALIsak1o2Tw5V0JLoC0U0wPS58L8reiab5JjLVdc/4nCQvfxo1qZNnyL7 Mvzv3n57uxRZISBz0KB2uXHTBnHmEFSbd/Ic+9VfvUkZCbg1Ltz16b1UDYu2cAqqo7CZbMaiGc1z cbIx1I+SaD6EsSAts4fjXoSRhK+TgrXki5LNZXHifg2v7Iwz1tl1118jGhWbI3qShw4eUqmAVjrc UIIUdBcmpWwkKCNQZ9gQ7777gVDS0ENGhn2yJxS8ShEf0rCuw+jBhQFdzC7AEsHBDI1y8f2U2Xlp C5I8spCwYnf/AT/E1AsS9Yg2isu+cEhqiKdg53ZwZEjS1U/T1ui/gQCHwrR3736ybHNIAAAgAElE QVR77dU3hLm7/vprbPKUqVYqFdSSIHcvlrz3yfuSuajqgS8JQLQVefCq7gnZDF8Ec/6b60VoEHQ5 cBMymltvvc1+53d/2x555FHt49mzZ8v9hnvP8ybAdnZ16prJhDik7/j5HTo4JkzoUea144Mdduqa Vfbz2+9Q8CNYUkbDIzzt1NVS/B0cGKcANlaNWGuqUtczQ/ED+tRTTz1rzz//ouXJalzbOeE72Ezp lOcBBv4kpFBopg+PlK3U6vpS2pMpyocjbdiWCyiZK3rpQPkyRovHeWP0uZxHpJKKBmGavMg5RQex I3CVZlaTrGtjtFyTRo5O7ZGEaUrMdO9rJR5aFujFkFVHytZeGm9tpW4bwnnETjTAp9HXgGpw3kWb pDG9e7fzw3B1IcPgNfd+sc+eeepFe/65V4XVmr9wjrUUXCNLJ3YCwamflxqbPt1LVk3Jc01egljG jw4pYOWyrVbMO+fSlSgYRrRKz8nNPtAt8+a+J5FsdkeUZ7Ou9qhgqNeOMT6iaWfYa6++KbDoffc+ ZLPnzBL1g4MJ1QCeLT/DYoUDp0Zpag66vZY3+LmGIED7BaRGelKMDVI05SsHDcatlb5RAS5dCdM/ v9u9JTMEkd1zZvx9JqsG/FVXfcVmzpih0m7V6hW26awz02HpJH0u7fChw0JBHz54wA4dRg5mrx04 cEjyMDRmv3r9ter93Hnn3fb5Z5+LdLtg/jwNkxiEFBrNdl9bbsPmB4lfWyL4SgCxrM0YVYa7QXkT 2lsbqQWRpuqOsm96KqpnFLrkhhprWVb03h6gb+ailO4TkDz40nDChwg+TODzrFixXJg6aE0EhIWL F6Xpb5MA3T/gAyenXQG1cDB2lL0qUyk11Qd0FQa+vvjii4brD3uPA44+IEJ9DG2w8Dpy9IjKSmAG NMtnnHSSZHRwu6Eyeu+992zDmRjCztR9f/vtt5SdQwtD3JBrIKODVuYQl5wmoaxF73M7qsAb/w7p Wb1mpU2ZMkkJw9NPPWv5VmRPSg5688mcN1EBJiq7qoV0LMqertAgRctGc8zlUHVqCsWd1Q2hJBKZ Go3pZK6pYCKBOZqLKFPS43LzBGeoOwYswe0EDYgTXT2IEZqKDm6M0yyiJQ+AxSDnnySZEbri2kRa LEjBFqyrZZIV8q02WD7WGI2Hkw+v1t7eaudecKadn9uUSqBkLiqAbUX647f99Bf20guv29nnrbfl pyxqlDjijXGqihvofZMwRnDHmKRvnmhInhlVrSb8TxqRJwkYNU0zedu//5D0lzraO3SvKJco7Yb3 HdBzO2kaAoUtlkGMPsphNlambvNPnqcMg9Hwq6++brfc/DMJr6FecPKCeTZrzsxkElvwkhx1Cco6 BUkODrJiL2f9HiWDgdScloRu0v4XyLdWsf7+4xpyQHHRoSZEf5KoEZbNp2LBSpArDT4B1ZqoGXDP QkKZf9CAZY1Gll5syduVV27WoTM0PGKff77XPvt8jzJ8mA3rz1ivz/LGG2/aG6+/Kd7eRReen4w1 HASM8UgEwCBXNwnhTbMTAqUqhLCLT24+LmznzudhoKKMEXrWGPAodJ5wTncvR5/++rrwAKFmvmzd /L/9eqqCFDlcx9sikyZPkiUYAYuhCsj17oTDUpmbRzSzxYYqg2k9puFTDBIwr+jsVIYDgfnwkSPK bgKRn1wcGoMCfofSjt4hJG208DB/nTRpslckYnM4QyXiBhr5TKrfeO0NO3jwsBRZyc4Y7rD/ydBi YEArwB3KcYvyCiUORH8Gfs0MksDsIe6XnzRlSqMPE29M4ztKMUX8BovbU3Iatvv3HRDxOJqPBIyA 1gNAxI0ZZCtTRFRKA0vjyHNMV4c1RWOyE6oHMY3h/SglY8qom11BjsZlUUQLSj2CILqy6YewiseG m5OFjaR6OOg63gNrZgisBHoYPqHLS3k0oecTjaTxFZkRAoNtJbvgkrPFQbz3Fw/ZA1u22oKFc/w9 636iRbYly3Qh9V0IUY31dL1B+FZGCldSva8hqwAnYQIHBq7QakdOHLHHHnvcnn1umy1bulQlD2k7 7HdON6laXn6pi9dhOScr7Yx1IwRXQ2pkyM6/8ByVlP/rr39gd991n5DxF1x4jk7tEA9UgId+QWaY Tt0IEO5A7BZkAHsD5+MDDte412JTye+8O553W3u3bjNZFgdXyF5rg3CvNaHzYY3bzvvmb8gIyeKL dgJ0qpj6enbOgMj5ouNVGq07fZ0OVGXoKl8ztnjJInEV0cIfHBzWYKXBMUxaXoGpUw8OGEpSComv BgYpZWKhwdUI2EkmXAFbApOeTfph4xM5OVGLSQF9JhmCJJNbP7jclSea0gpaguGkKajQZ74H4+oI FkFz0vpNk0eqGgKA+odS6PXDIZIA1gtAXwYqTDMlzqhkoqDq4PCRw3b82DGHYsgsxHtsY6ENkp4a 6NcfOZ2na44MXDg+9bjzOmSBLzDIgYpFm4G9HRmWZ5ZN1kHorgUmi+ciY+BCXoiFPFMBqX3yvzET AQEZk62Q/pdKsHDd6O5GXiUZQbS0qiHYUO9U/wb2eH9qVCZHj0TRIehI0ROrJurh5BCtFBmsV6uj 3bHVEmctRLyY9A24+qGjwROKOaXdgaznOnIECBZ6ljS+aKVMzsqQixNmidfrLPVYIQu3MW+FYt7K 1SH1uqoskMRHDG6Wxzg/g5CuWbJ8kW195Gnhto4fg1jqPZEAy4mvBVSkBTeZoWQtnk5zRPuS84xA s4P0seALmk4cXksLPZsWc0tB/LOrr75CDXKyJezW1647LTXuTWx5ubGMjggYesWVV9lxfhdvufHj bcPG0+3Tzz63v/gf/8u+/fv/1r7/g/8hvBY65t4Hi35bztqEPHa1SzexdbkWeUHCuRMEpukZqc+W epCSZM7nbaD/hPpYqD3YUMb6B46rX9hQxGzWTDr43NMwTDMcac9z5FDDp4/3cPoY9A1XHyD7JIuL AyL01AKjxySMxnvviRO2a9cuiSDKgy9NayMgR+M8X23Ruml4OSZ6moxOLAFHUWIdw4uL4NvovaTy 0oHPTWUOf7kkPy4cF1kQLYgux/K1kL25zRrgy1HoTckJJ+hSBw8eUlnEM0P/nANHktC0bEo+TGAx tHd2iecoLfgkkxzRN+zNGN4IL6bpWN3mzpsnCMn//t//R7I36hem++AwDhcc4B6jCrJly7129Oix RjtHjfII7GmvAKfhnv/4xzdLxmnfvgO6PxgDx+vShA81DrB39JddTbaiQ0rPPbUDmEzmHYSH2UPT jDKs5kMbi03EplPzHW1oOc36mJ4ISR2KUB5vxGajWQYfCNAfQYuH1drW4dE0SXr4KQRWA7djOFmO scHgFB0cxrHwh6CJyLEHJDlj5cEBnQruIu2n0tCIT0fYUAQzIBribEkXvejAVk4gSMxNMIQWlLsx 0zNgquWlwNhFphMt0XtiY/Dd2XNm2IrVy+35Z160vXsP2fgJjJnZSK4LBqJX7s38jhauP8TwteNK uLdMYIYHhqytpdOKhTbL0ODGUKKtwzowZz0BSbeqxjj3jaC0YOECW7HiFPtw50fWWipKQ5zUnmnZ J7s/sa2PPm6XX7bZ6IidgCGcz9rceXPtG9+8SeXgd//kT+3hhx6zGTOmKxAGubhScViFOyW5RRMn dCz4gKSEnIuT0OPkj+kshGWQ/TkbHHQbNY3aW0o2NDygYQFzUecKpkUONasyqPWVakatFZrDjvz3 w9OpMp7dCaRM4E89S8+0m65LbGLKXojtTAwhFVPWSMUTyZ+2djWmhRa3kebAIv1+TDAjkAr/lvp6 Cqz0emRJBT/OD0x3CPcMTAE1ZZGuGOGBTBpUTFVFRxu2aluHFeh7ERQSMt75uvSdUhslX7Ajh4/Y O2+9o77SxRefr+lcYAHJyAmAZFdu/EAvrsWyagI735X3X3PqGluydIlgJByEZFp/8Af/RsFq+fJT UgZEIpFRjwxi/fXXXyuuKZPl1atWSuPr5JNPVrAkdjjkJ2MdXZ32x3/8R/o71giuz6tXr1YZ+y9/ 65/LCfrd9z4QawYXcwfV+v1yICl8Yq4/hBipfjjEHXaEHtzFmy+0vGRQSMUaTrlNd+eQKA2gpHR5 UsOQaZ1nNRWrdTh/L9wxGDnz1d+H8kHNyjJtdP0hMirGqny/c/x499GDoU8pRNlGU7A8IqE80nuu jdSZhyZRvN4TNiQz0CTglnovEKYDYcvDh5DMKUN2RYYED5LAEeql3qAuWDbvkZoUmo2kDTXGH1EO 2MmEIzhpfCFYt3DRPLvnzgfstlu22Lf/4J/b5Ck9DdE8ZKJp8oaIWhBgAy+FNAgB1u+Fg/LUKE3o 5WKS7A3wIs1yFhzOuugFvY2aozawqey59tqrJT6HBLBL2QjFK5vBegG0c4vNOAk801nS5EY6+vlt L4mHCJ0nMo7Az6i0TdlQ0H+YVlJqaaGGGkJiK7h/nDU3T7bVKnXXi0cLHNnlRlbldb//e8ooQk3T LdbT9I3nmRRlWZ8u8ujwmOiZhVeAT++aBw3OTydNny7eJNxK8GjS4zezceM6VVZPmTKloQxBFiUL rAQ1YO4mb0hBYzygB8DXQadM0L0JFo4yXgWEu3kyIvaV1KCccO8IJrAEJD1cYarXNCWOKSOHFDg6 SllKf6ztX3jxZd3rDWduEJXKxTCd58iGd4ZCTRUO7Yt61kX4HEZSUwMc2EFY2QO7gQYEcp5HwnAp MFQECMjHtH+cKJ2xzq4OmzVzuuhO9LWUVSaDYF5v/oKTlWTw+j0Te6SEQjkIB5BDg5/FZIThCtfu ps0c7sPKnug9t+V8uBWu324fl1GQu/Gm6y3f14vpRPAInfEdTe6mOWqh4RIb/ZcAv7komGtZOZLY AZaurpAXEI2TSH2JMWWDa0cnqH+SOwb1zYmpUzr1zIivpMr0aHjd4bZBGxzos1F0qzi5k6MLgVcb XCRe173m+oZqyIAMKSAhc9HakurkBi8wlX0CM2askCuNIbSySAm0o1auDn8p+gO+PGXlEjt17Up7 5aU37aUX37ANG0+Vo02I9uXysOCbQW6s/jwaY2Kvy7iTTDOvhyNZF6XVUbI4H3HSpEnSlAL1zNgf DuDKVado09AfYGLJSTj2WVWsZq0sKDTjR/ONBuZXv3qV/fgfbpVqw5w5c9xenAMnaEtptO6yvImT qXWQgLNjx/jKPNz41KECjl4W2lsS0JT/WWsrdclODD9E995LZJcxwE2Xu3b4hxrWqant5OmU5aox 7UBUX4uJ+Cy8V1MjgVtNScLmBiD77DPP2cgt3oZg4osQIhNIgjjZOvcMQKo4oSWfOOcyDuvR4Shr LZf98Wfi7xuYucZ6akg1fFkNNS4tuH1hqeVsAS+JfVU6nosNjP4TvWI2POXU8eMnxAKgX4dME/JD AX3wHnFegYD+nlch3kdzSy96QSSKTjEL6APyxaH1T5XBplTZ3w62DjhT2UYqCHTS7mFtjFrv8T7v OassdqoUyHevVBAKSMa3yaxVcsijZR0YHBTd47qs9/jRxoEoaaaRYVVqtB689eS4SZyo1M9tKdqy pR2WP3H8qCIo+lP1dm8YK0uRhjpOL8lAU1ObpuNrNMWchpJrMNxFepVE8IgmOKjHc6K4pVbGysl+ iovlJOamBlLcAZF5KyZQpJtLutAaExZO6nHjexpkaWFdDNPTosbDhWQayqKS0CABbgid8sG04GpW SJxD50jpKG9MI5yznxelIqY1MQ2t1Fy+Jj47DdTFSxfaNddfZn/+3b+2hx94QtnhGZvWaqyrHk+D IxUioI7ydvvwRIItJBHCJImj2j74bmmyw/1hugJmysvKjErQKOfx1Nu//4BGzqTyTPXUzAUhXxsy Gx2x4ZSV0Fy9/PLNtuvjT4RtAVR6xobTNbZuBMrgv+k5+IQ0kOnqz4jX54GFZyxtbjBkJb9n4qQm xx+ZJgwPqkdKEx4TW7k2p2Z70rtuHATNvinv70KQoRwR/S0BOlMzObLeoNKMDRCsZcbiUHU4II8f O67hw0svvyZwI1Mnp7m4sYhZf2o9ONSgNRslSrPkk14W6zH5HDRlvSNWNq+lMT1LAGUvNdP3kiem JsgBeGb4ogPBA9Zdd94r7BKwAqZsy09ZZkuWLJa+v6azNV/v/HyQy9kr7D1l+jp4KbU8KJH9ks2E OYmGAeFM1ZDj8XsdDAACnCSPRhzcSYtHPe9hl6+OKiDkoiKjVBCruzHM2rVrGv1Rhyx5eyd4rfTT QPRTLirLTYbOgdUL4niO7FQW7FoAfpI5FsWxIM7xS9bTaUNHyu1N5KA45HVxPu4lzTUpBjB2bUHP XE31Vp1elEGiKBRbxDEC7OdOvvgb+gSK8jLGxDwAJhHuz1aytg4cXbzBj029WOpJriWI1NFf0ZQj 9TMwt6R5Wyp2NpDKlSrSNn6qCIGevA+1QRl7y/XWp5aubhmbwZ/MpMk9dtHmc+zxR5+x97bvtDtv f1AYtcuuuEDUJplUNgYOTZ83+gRkjCH6n7qhLuSXkNZhiklAA6BHnY8euMsKz9SYd9/e/WpaYq6A 4zW2STRmZYdED4NeWnnIyiOjCsw5tM5aisZkGH34Xbs+UamB2wnUF9xihA9ST8UhI55BuEAdG0EB Vj8DINEneDxzNrrstlTueNnoh41n0w6VQKJonPWdOOLGJeoTBcG9qdkeeCatQWV+KTAlff/YZCHa 1wwQkSn7Bpa2UmuLnbnhdFtxyhJNWAGhfu///Z8qUci8Nm++qKHPzwZSmVZG4K9f68IzR2ccgAPE GCQGKA6mTUMEP9fGmGdE5jiWNpZYGyLrN4nFBJVQT3AEQ/QHa5KdQewQPbPp06dJELKg5jwwGzfg Zd3AHokvsiu/5uYU1MXyvPrR1Hd4WBlWfkxVRHCJe4hRipgMSYBwVFhM9yakJ4yHYqi0uDZWqw4l KHsaGpGcANlB40pmvGVNmIU500AvI4iTgOSJGcD3CdTFglca7NGmnn8Co7upQ7J6GkgqkTRaW0sq W5hiMIZ0+Rgfu7pPne8zPrgeLj2PbF6bVK46LU7cZMwLmraHFFp9Gm6m+wqS4QwODShDGh5y+gMy ucIkUYsLQU9ZmRM+aHRkUIL8aOOQXfX2goA+4cahVteolwY+ComcfiJYZnxSKc2uUUihWCRh7jrO BvrNRsqDYv1H6uhofDAx8MPc2h2MU3txXKNvk+KLTizG6t/7y+/YP/zwNrv3Fw/bz2+914YGh+2X v3md0mhOk3ASIhhyHW664SN8DSCYduFJV2r3MfUYp5iJPT2yRLrmmqsa5ZpP7sxya52rR4+DcpHn Bm3ijdff8lJUPQLwbFXLsncqOeutYnnVZmds3GBPPvWs3XrLbfaDv/17sRfglBWLHlgDxyar9NTk 5vpbjcmnZ8vhFRiaYGySjk56Qd5AVuNYfR9UU8tylm4tdVix1GGDAydSU98F56QEmsCZrqyQSiw+ J+KAaRDiaqKeCUTGFad6WLUhXMfGFzWFHlHW1DQGPwdU5LHHnlBGSpl16PAR6+zu0jXChQvxOvqo 5ROj1tkBYdf1+F0f3ksv+kSxH7w8TNpaY7K8Zj8tYBA+SPAJnKu88tWSxPXCA4DXnzh5ql2y+WI5 SIOFot+Wy+XsyOGDAm2yT1ijbW1+yPE+PCMh3cfY46nUH3OfJMNTKEpkgL07fvwkBYN0C7UWheXN FlS+y1g49TNpXVDWt3V4T5lnT/XCPmtvB89VsI/e+0ClIuj0UhsifVRJI9rnrB0BcwlIlbxK8GCj wG7hmZHEQIcrjkG+x6HEV75QKKl0Cg0q6UlZckrBIPNEr5w5oK1wKvB38jQTfMBZ/SwgamoQztwQ gp202lO6zqm8d98B6+7qsO7x49LUcdgmTEADPImJJROH4eEBpcryIEsXTfDJllDtHFEDnwU0bkKP NtOJ48fsyGEfl/oJ5SBQB0KC2vUAAAeS9xga7LODB7+wnmpFJQoPdGioT7rdbOzAqkSPLr5yWaK9 l3hhn5TNjNhIbkB8p1/71o3W1l6ye3/xiN3897fblrsflrPwb/3Or9iyUxaJm+l2TkOORdPndWln 9eKKrS7sl+1IJZOXhYjheenjpz/pvPcVWyxfdW4kX4AJKR/odX3967+kw4CF4nZWTmnCtj1TrthA by9jW/vK1VdpknvnHXfbX/3l92XJ9bUbrrNu2SqFVZkrHUS/JRQaHIxo1t/fp58pomGVrNpCCUO9 TNjNyty9dDpx7JB1jZsoqsgIEJIaJQAbBUxOasjjlg23FBhK1uEEBK0ANCpYs7FExUpAUG02Nrsj ldzIwqkxjZG7fsZNFD54b4c9/vhTuj//5b9+R9APTn+mhxDVZb4yOCDlENYqmRYZJLZcsj8jsBLI lQXDs/UJZlNqpRm4YpLm5OcWcW8JzAGniOASG5MpXWuxYKtXr7DHHttqt99+txySe3rGy5D2xhuv kwptgE7VghkZThlvOEIn0UOV5ayloTThrSvTYQJNi4V79/jWx+2jjz+2gUFYFxlNVr/xK78saexi KxZ4VDgOHiZgEXBCeZdpPrGDc4nrfvmll23cuHG2dt1a6+iY7hivPNxh+rXN/qdUTITRI/v21ohO FvVGx0rWRKWdApafoqhwtqW+SwjHefo/WsE1p18nlaAMLSE45pFRzsOJ0Ct8jHApBCFHvjscADQQ CpnQGjI6ZQQsRDc9C4iU1LH+JaljIjsbt2k2aRpxsiDLGUfft7V3agpx+PBBpygIB+IegXCWuGas mzx991rba2WXb51QKVt7W5dG7spcrPwlb8EGSjhhSyTQlkrgwH/phM3ldIJ/5epLbM7cWWrCv/XG dtu542O7565HFEQWLz256ddYraXSGBCeU3BadHBwv/JcRZJs8UltuTykoBoChz6VKbvhRwELsPHq 1XCI0LQEIAkVKQIWqPuGUwqLZLRsg0OD0vz62k03aHr0t3/7Q/vxP9wiEUOMKqZMnqyMJcofDiQ0 oDR+T0HbN5dLy/C+2kTcl9T4z2qA5QFGjWkyrcqoDSurbrV8rdWGBsm0aw2lDqKXU7E8IwmFT2gt ERDULysk3FGU6WolUMI7jcclgdNzSuqfXDdZ9imnLLXNl11kff19EjH8o//0XftPf/zvdaBGNpHN eoCsCOfkapou74uUTE7BIVtMqPZGOZvK+0Y7K8rB6O+MKRcjOAVYMjkwu4EpZi4tdv7558nD8JFH HpNRR0tLi4Y6OB9dcuklNnHiJO2jQLJzKDDkwF09k62Le6vMT6KHtFa8BdLsMxbs+W0vSEl22fLl mqiilMEUGj4m9w9lWnBf7W0lSdv09fcLVsMUkdfC8Wbvvn2CLcyfP1+ZemsJut2ItOqh/NC+wOtS eET6a+ExKBqU95nZt8QHZ7u4HFW4ujeR94aAH8JuHu3zuVDzTDZLabQsy/W08NBddk6bByxuotN4 3Mk5UOE+rpVJmkpAzBCDRxjBLl4j7QktuGio64Jp7rJAyCbYyET5epKcGaOH7jgy773JGGOIoOQT B5mdirGeZE5UazBJxOGkV79DmUqmMjJaFdWFMnbPns/t3e3v2Se7P1XwZkR73gXnqsxt6ChFZy9F fxrhp52+2uYtmGOLlsy37/3Xv7aPPvzEBgbp77gaJpuSTUNPqFgouZVWC1gwV8SkvGBvuyCcNx/B 5UBSjxM10OBOoqZUG7b29hYr5JPbTJbF7yPzCFYxEdUpxSECBiiXt+mzZ9lll18iXSScdbbcc7+1 l1pt/RmnC6ej/puwZE2xOxF2EwCW+0+/yuWCm5vPM7IYXCS+pqR8YCwMpMyyaNVimw0PufuLnp/w qyD/EeX3qZMrGngmovs+Rk5obFbjmVQiWhMELUq1pp8h/yRTATTLv9/+87vskUcet69ceZmtXnWK pq3+nIrWInIyJZFDZRSzOHhBhSf3cgXwVB14/ypUYMMMxcvbyLYCehPyQQ5hoIdDOdzE2PNz4Mig VWE4y9ClpaVFPcp773vIli5fpmRh75790jIjoCxdutinfOmzjwW21qqAlF3JU0rChVYrV6v21FNP y0xi0eKFstriMIdkTb+UNTERaMLgoDBaKDcg9XPP3ffY2eeco/+GG4jT984dOzXQ4CDsqnTZu+++ J8wYahsi6xdaVD25I3WSPa9XG0q4HIZSmkgiAl7aB6yG++bZWd7tuprQ+5AOIXX1+j/j9uSpGah+ UarPKcmQrW1QZKTFDDDUcVJq1o0Mu1xM6uF4g41U0D0A3dLeF6WyIGQwOMkl6ZG1OqNX8ElazE3E fMjsCvMkhQjvuajXljS4yAiBDsj9R3buHmYIsFKKNLKxAd0kx8VwAlVVWj3y8GP2xNanbdeu3Sor AWYePXbcTj99rUB7lHf9g/02Wu2XaumHO3bZni/26R5OGD8unZgVmzlxghq/7o4DaNKnb5g2tBW7 7NDBY/bprgP+UMGM1WqaBEkJlk2bIztBB54xcqlhFxbAXfUY9MyaNAw9aAjsOQJ9MsBUVohJgE+H 2ktmvVV6PRnZyN944/VC0b/26uv26KNPCPyLaQULqiWZd0rZVCJvoZMO4rtNkJEY7TtiHuNOPyQk dKkg4yazhZwTuLnX/pnapSnF83bazJiAl6hM8d/OC03Z1D9qZDtmzrNhmftqIOQwCZcnStIxSZKX jXTBhedJwua7f/JnEombMnmizZgxzXmUCsRelivQRw8ttR4iY2z2zbg/rkBLoP2y9n8zCI0t/XwQ 7JPBCFaSKE5ZLJkw/V8O4LlzZ9vy5Uvsk08+l9POli0P2Nx578nAlGBBVo3SBr6KKG+MHz+hwU10 M165PDTuMfuTjB1j07VrT9PhxN8xzQcc+tlnn2nQw9o4ePCAvfXWO0oAJk2eLKkisrk9e/Yom8V/ kIMdRQ1XZHDfh4mTekSG9irEVUrlAJ96f5F4RFk7NDhk1RrJzfjGPfMhQIBp3WcAACAASURBVNM8 JM/mpxEa+JqgWUjihFKOMSTwhDS5YNQQaF6lyizMJKPBYhbbeszCq1YgNnuElYyrQIkZGxl1+Qy3 90oZU+Lb8eHKo+DAEPnC6wzbqaSfnlxMGhrtEkJzKom0itKJrIBUB0XbpxRZwNEkKhh9FtLbvccP WCFPJtZuteqI4AucLnf8/BcagwOqJHP4/NPP7X/95Q/stTNeV43PFPT48eOWzddtxepldv89j9r+ fQe1Sdjs9PxwrJly5qlCo4dfnFLyTNa6x0+ywf4R2779A/tw58eyGWMRHD161HomTLBqtUf8PQB/ NCRpjgIiDPcZpdAtBWFXOjoQ9ffDBDH/QqZF00QUSwEH4kY8OlJVlsZnoaksjavUj8q15EUavv5r V2uh4uRMRkwpAHGVSZXfZyemh/MPvRirt6eA5SdjbECXOfFDLprV0K4CukC/s5JDhx1wcIuVRx0w 6T/fzFodgJlKKgVD74FEmedVgLa5/krtDJHpc1ZrYLaCGjPmdeHETplip69bK5Dj1seesLPP3qDs i8GBMgCpBniQ0lQrlcH6bKlPpn3DMCUFJAlQjpliNoJq2nCRWYUCidyRVK572Uk2L0WHctlef+Nt ZYCoGzAlvOzySwRHgZp128/ubOAgQ2ll69YnbePG9XbTL3/N1qxZpSFOIwNlypb2YTzD4SEOwlbh Ft37MQKrV1OoZkyfNtU+3OlKp0jHkGmRke3+ZLcCE/0qfhd8GJJAHEof7v7Iuru6JKDIZDMwWZSh BCmVgIk5wb+ntFoBfGhoJLlIhVtSExqicpy/pEQBPiDSKzZShYKiKSdNW72j2dDTok0npHpNPhkJ PlHgd1iATiyFkwM/CJhE3lrAAUl+1Scsw8P0XDyDGioPCi9Djwx55JiYyQooScla6kGpn8bmSTif KDuQlg2BNRYCKSmlV/c41FM7lLmRemaSXvm723fYQw9uleU6fSYmG52dJbv11jv0EH/9N37Ffvnr v6Rs5+WXXrU//9P/bi88/5JS39gABM5HHnxSYMRlpyxWWYi/HKJzfL368lt21XWXNuRVKNXIFttL 3fbcU1sljYJsCHbpTGb27tmnBfDCCy9KooPMbsXKU0QrQfOc95TIYWurLV261J586mm77NKLNQH7 eOfH1nuiVzScHTs/tN27dtvsWbNs2bJlCq5vv/22zZk9xz786GM79bQ1NmfOXMu2layvXLW2fE42 81deeanddttdtvWxpwRzQCPLNbbcWizUDTTShqVAD1TobcrBBMVQScUBBVgxYAYoCRQ1XQul0sZi TNNGlVXKBt2MQ+sLyEl6vrGR4n2i1xW/56f0oNoWlE9RMTSbtqHblVxxii3qOUJ12XLPA0L+k1Gc MnGSg38hK5c94y8PO0fSVWWTZZ2I6i4phFuTDmBVAimzHOM7EFQUL/sD6NpUKOBwYfO6e43Zjp27 7N/92z/SNPPcczfZ5ksvto0bN9rSJUvswL799uJLr6q/xfVvPPN09X3+7u9utvvue1iAWcq0lSuZ 5rl+uxumOFFbCUmWQVtdWfRnn31h8+cftu6ubpnBHjx40FUilFygh1bUIS27+GnTdA179u5V74tD bdWqlapQAC7/7Gc/Ewqe0vW5bS/YGRs2KNNiCJRLQw0+Yz/SzJIYdzwWLRPLYuCbMs5EQg/LOw+8 ZnkaYQP93lSPzApwpVQWq7Sg8NfrVlnHZpd8qaywLSmJslggPIcNNj0pGquDCja4wpKiC7GuksKZ 5Yh8YVnNRi6o8QzQ0Ym+QtiKp+inLj8fgmScuFyHeGbJvluATKaWMpVM/540jLiRYEYitSflPXG8 1x56+Am75xcPSqsnvhgfs1EIEr//f/0rmYxCTeDznXX2Jlu1coWmKWRBYKO6x3fa/oNf2Hvv7rCF i+bbrDknCc3LhkDN4c/+81/Z66++JUUIV0oFYOllFF9goJgeIsfhkrwmJPDevXvVwFwwf75K0u9/ /4f2nT/6Q7vv3vvtjDPW2/Lly+SKc/PNP1Xgf/fdHbZs+VJ7//0d9t6778sGHADp1VddYffd96BI quhLvfbKa3pdiLNoqJ9z7lm2+owNDZ0ngjrToRMn+qXvDv9OB8bIiBVbHUQacthqkGt6ShbT7CWJ EE8AwoItV7fWXMm5eMngQD232mhTcTPprQ8M9TriP0cfkmZ7ElasU8oEmDWpGKRptqZOSUQwJKZZ x+1dHQ0idQMOkbIxL7VQ9fTMj+cFnGPrY0+Kp3n06ImGKmiUKiF5HDpsMY32Xgz902hHuFUaPb+C +llNl56GGUZqvo8FupIQSIm3tSTC/8svvmh/8p3vCih8/deusW9840ZbvWaV1iGZ+w2/dK1dd/1V 3q9L5S43A7HGf/Pt/2Dbtr0kFgTEY59CQhweUFBTcFDgKti4Qqtdd9119jd/87d21113C0LDVFTr b8GCRhW1cuUK6+8fkBkE4FWkbc48c4OSGkpKJs20XFAr5eewkkOFlOv/0z/9c/uvf/pdHQ4MBMI8 w7oSjCLnrSIyt3KlKmB4KFOEUkZMWMXFdNQpfoCJy5ZgCR6UUnqeBPWZ6smPEHcOWba7C4lqVAUj jBFc6ye1FhS8MvCuqnWrZBJuRf2cvNJG+dSB2BYwzNUc6Rk59oUU37W1WCiueZ1p9Ie4PsbMRO1y 74kExHODUtE7uDnCnbh0Bg/to50f25NPPW9PPPGcFs1v/MbXlT7TS+nrw45o1E6aMdlWrj5F6O9Y iJRfEydPlMCf3HOkSlm3ydO7bfbcmdbR2a6TKCSEmZa4SuWAb1YmjhUWN0HWklPwoIQCeZiarqa6 njIPQjOBhsYn1AzPJkxqoGgOkTEROK+88nKZogKK5Jkwvfn0k89s3bq1yhoJhmhpEfjEtJ83Vxie 4yeOa3EVEmd0qIpqBk466TnCz+wbEKmdhSkMnbmDUiDfg1faJIs3cUf+vWRSmhRYmRCC4g+i9Fib LV9roSWVTAn0f7eYVz+Ghl76NR1qlMcaTvBN798JHd2ApDQXekNkEt9EJIKFu2pXrwdBQ0oXgLQ7 d9LTOdUmTnZyfVOjKsCdHvT4dxrMziF00T+AyToss8NpLTd7L3I3bmhnNTM/R3ZTStIzrtkLz79o P/zB3+mZX3HFZrvpl2/QYUQGOjw00MhIOotuaybXo2GnjXWOGy8lBbwpjx09pmk5Qyb3POxToI5e Y/T+yJxuvPFrOpSCicFryc+BPlQP0CPTxPK0004V9ASu8LSpU2UtDy1MGafkXybYnDmzVZGQ4S1Y sMCWL1/eINQr8xRv1odPPAcSoRMqJcvW1uoT7nh2ft9YS57RpgzLJVuFDxFsIaynHDBmFU4T56GF Cw3o4wDCxQMZGh1SD8HTeX/A/CwpOiUhYNM4aQVkTLKwcWK7zXfdJgW+JCHX9TvDjEPLjVqdflM2 iw9g3crDFdu3/7AUGuhTiWrTkKNJqpmVqu3Y+ZG98Pwr9vprb9kXe/bJqOHii8+zTZvOULkl6eQM iHx0hkattY2N6CesG7kGvw2qQ7vIu4AhQZqz2GLv0Tj87NM99syTL9jHO3dbz8TplssDsBtQEz2f LVrfwIB1dhZt2tRp6oUdPnTc5s2DolSxg4cO2HPPPa+Mh0yKxiZg0AaMhJ5UyR2O+B6Cdw888LDA ozgpL1u2VGqRbaV2LWwJIib+Ing7Aq7TobxfVMhlxDnEhn37W5+oofrUk8+oD4fiZ8/EiQ16lE/F fPNxX1oJLkC1Eqk5yuRwRXJlCl90of7gnESXdxnbT3IIzNgNPRYhIHCWJqjKyHgtaT65HZ1rUlGK JTrZ2FqsQWL3oMh6hyoUgZb3peF80cUX2O2332Xvvfe+7f7kU5s8dYoyJIKOb5bmpJFgjpmoZ03u hIRnQRaws3+iL2k6aQhFptPo8zWDtLMuvFR79bWX1fzncDn3vLPtm9+8yVauXilCcUy66ynwKkgS IDNuWioFitaSdPnRVj9y5Jh6qI7i98FUCAeGQap0qCxjc+bMSp6Brj/HeuZeg3sEVc/3JkzoFuQF 5ywCEveka1yX2ihiqiRTYHqjsVbR0efQBPleo12TXIx4PhWVwWAS/bk5q8a5wdFzi/URMUaUKe8H OZI4xtYunzqs7EQZECYHsSgxg0hpdcghS5VxaEQnTAsoWDWXk9jaKPgtVCKdiOnBMxk9srBTbU/t DGlS3nwCnXqUpUQwAevBwySzh0SQhpryysuv2ZOPP60yYvHi+TJCpb/Gw6KBR+Rng7/11nv22mtv qhm9fPli27BhnZ1++hpFdO8t1Kyrs83G90yz4aF+K1eGrIqTR2CByI6C8E0SoAXZ1MnyPoppivPw /Y/bE489J4WEDZtOs/HjOnSayPaJDHK4bJmOjK1eucrefOsde//9ncpCwZmBW2EyRK+gwZ1rKGE2 idqxaLl+FgW62pyKixcvUlb29jvvaMGRlgNspa9AmRil01gCOJsS9YiHHnxEJSS9iAsvusA2b75A omkEYTEh0jTY4QPB+xtL8vV/Nikn3ndoEKhTfwqYCoGvyUx10UinPzUVJ+O1HRxKgE0QA2XQvlao BHwCDBUE4m3FWmr0Q5rByoNmVS2DwX7Xhm8tOcg1iM3nXXCObXvuBXt3+/v289vutH37Dtqpp3nm 1dC8CuOSFJOYkkd/ysUmfQLreLCYcI1RtvhHgdSfoR/wHDgPP/iIFD0XLJxv3/zVr0vTnmAm67zE Oayk/m0IFRpQn9S4V+bV2aFgEu8Z5jAOU/LBVEzn/drT/cW5eXRYU/VKFUmmLmn+0sZw5QR01qHd 0E8E2BzPmoFbOBcxRAuqknOGi60uI+3wG4c0BS5Mwp9QA5kaaijlmnKh7ssSEL1OBitlV32pZdwd JVJeARVxkmXS0tmtBmojujH+Tw4gDmj0RSywG7yrVg9wBDBqeT9Zq7J/coyKH5vcKi4q2wKQFDKk n1R8GF5XETmJ4AWwVV530kVy8COvQ8/mH350i0au7W3t9vzzL9vMGchf1JVSM1Xj38OaiqzqzDPX 2Xnnb7RFi+a7lDMpddKpArgp6kjqMdVH+WxumuH4KP/j3Eonfns5nJXvIF8f7dxlT259zvbt3Wdf veEyO+schNYmJjflnJrIZEkEuIUL54s8jE8gvSd+hkxzzZrVYuYTbDg8CEK878KFJyv48L5kBdBx WOwEN6Y1yKlMnTZF05kHH3xEr0s2NHfOHJkySMI6BQVKBxr1Ub5xugKiZPFcdOnFdt11V9ncOTNU 0lM6ua6Zwyx0YuMIJO7jP9mDSXr4y7LDdUrKJESnxi+OzI1JX60h3Bb+k14ZNrFjDbkj1YQ5laOU +m564vQeZ16Urd7mB0pozctQlT7ZgJObgWqQeQRfj/dYuGCBbTp7oz3x+JN2/30Pqaz6zW/9ut10 0w1pAJCa0ElaRy5MqZrw6ToZBIDmUqPy8IDtE7DQ6vJN7ut3bIaJmsTTTz+ntUqZf/Y5m9LG94l3 vE/dTJrqKgelCWa6d6GsQXbG9QEqnTBxovNzk8orvSsJB6Vg1rSSc1WSoeF+9bPhJQaGDFS8U6Sc U0igInipD5WwZr4X0iHDjU+TRj/gvEXQcMhKLRN3KkKkE34xpWrCWqYpPgtAPgKpxylpqUrV8pVi l7V1QrvBZguEKnw3XqA5qfEPS2DzCYhjp7w0iPTPUe9FoWnp34ROuHpeSS00xs/CqaQLH0mOyi0t LmzHDQM1Hr0Qgl697mNxsi1AkbwmNfpbb7wjysKpp65Uk+/RR7baG2+8o4BHaop1u7h7uZwtXjRf Y+sVK5f5YECoWxqdPtYtV1xPi0XY1d0j2g5TMfhvNRx36E+l5mpMrRz75TrhLkXiWk58DtLna766 WT0S4dekjeVDDYYPBAAQ7mtPW2ObNm1s6CWNTYPHOqewWX/zn/1awp5lbfnypQpMfBagCJvO2iQ9 Iu45weh3f/dfpxG8p/lc81lnbVRpy2t/65//RiqRHAPF36PKOXn6SbZ41So7ad48kWE5KBDYK4+6 dXlkeDoNOfEbmXdSuxgTwPyjEKAc0pG+6z0oyf422kyNLNXByR5keH/6p/UxqhVyJYdKhvAdm1QB xBc0f/j80mmr09shM3RcoKg2AwPqz3Z1jROVKHSXeG+Awb/3+7+tocbNP77FHnt0q91x+9123bVX 6SCO8o1T3rmcGMf6dNIxWc6rjaFPPem4B5pdbZIxjfaxdBw2N2X4gf0H7OprrrCrrv5KUuF0sCzr Jeg9LXK1Sm5WOkiRy+nU5ob+RtBjukvje8L4CZ4oJEiAzIaTHLEPAJr9LAI/B1O0fU4cOyp9qo5C p2eMGnA6oDxUSOJQCVxmAv2PKeOcKRJqsQEkdn0uH7k4OR7nedc1Y1iHFly94gRxBhK0K/g50dGk cEB/qV6xslGb+4bgL9nInln5A4nTkUWifw77RcXJjSOvY7ZcKTGMUPm9MNOk7lb/hdZUco9mM7ue Na/nDxoMFMGEGjcEzTz9BItVlgIjTef2tjZxrn7tn/2KnX3OBnv3nfdU4sw/eY71TJygKWX3OLwF Xf2SSSA38HB/b6PkcjBr1YazWestHLMK08lKxTo6xyvbojzUjRbOq2K5uv9ePkNa7pZkWema12za lJk2ZfIUGSA8/MBTdt1Xr7Y2el7mEiwAGbXoQfQDj8A5KOkaKZVvUBY8sxVpmylSxdUquIcw2ml+ dnYA/yipb0UznRGzMg0kQUYhI3PvvDkdUzM9O56HXKp5bVeUYDGfsmK5stVPP/nE9hzrtY6uLuvI mLVId9/pFAKmglquZ+zEUMVGXEFZcjOdhax1FfCDbG7MZgaWuuVjCML/pDxikJMkfwKxHUDZgKtw j2neF6r01ZyoHAqdvH6PIAlZq1eaJaWPyDPW1T3ON3ea+ilLSmRjTaByBTvnnE127NhRe/utdxRA JLftiBTP/BIfUUE18elCYsY9Dh1JHq7JYffePIT8HoYaCl8ANHH2YfLMQIVnGmN9HJdDqjmf9qGG VMmdCQ4j5SJDl2eeflb74rLLLrGT589tWKrFRNT14z3rbOjVaY96xkjAoh3DpBC9qlBW4b7xPg65 IOgld6gUTCMwf9nM2AOf5HpiisuaT9JK8n1IAOj+gRHFBPqr9Eq5H52d3bqXCDBo8osoQqVm+YFy zd7+4rh1tmSsq1C1vCymXBIm/Nj8pHf4gqJ9sq/ijyva+rhUCIPEvWuoayYDgXq+7rIxagXUZJwc cjAChKVApBJtaEiTDcoiek78TBejavW8fJKFPtCcubN183fu+EiCfksWL7BZM6brRvOz9HSAQ4wf N8HF/yVTA+QCLBdQAxceC+0nnVqp1na3El8YfEVPgJIgNpdwP1iEs6hTSY2s7Np1q9Qo/+nN99ic 2fNs1Yrl6RRkYtnSMDtlvYIrI6PVxDM1nrn2KD39Pfp1r8k4WARMOwUByTMiLto555ylwE0zmc+g Jm4iG3Py8vojI4M2QAmPsqQMOF0KyE0OHBiJw/NHH35sO99+xzasPdVmnbbGBkYrdrhslq2hSssG yFuhnrPWqlk3wQk+HfenbjZcrdv+IU5MnnDduloK1s6Qgl5EAwfVyLO8OdDg4TVpLWEYwr3GcNYx WmFg4RuEaiCoXdkkK+30MAj0TM0gyuYtX4qGeTL+TbZk/0QeRo3ecM4eb1OnTZVp6euvvWHLluEA 3tHAB8UkVajxpIYK/KeV4dHgQJJkCopOM+MINVE2usslunHq41ufVKCZO2+OzZh5UqP/FYKXDUxa PQDbrEUXWAx2hw6u5cv07NE54/BBJ41pXUjXBDdTva1UkkpBBK1+sj2ZTnhfE3I0fFwOA+61MtfU gA/HcefGjj1yMppwk0gwTPLpYc6mTp2k50L1xLNxxorjuyjtwS6ylvv7e/XawH4IcseOHtZBJUnp SlUZcv5g74i1FbK293jZ+lvqNmdcUeVgf4UTtG6lQt66WhHi97Q0blho2MSYVBE25Ielg81iTFKn WosJBZ/ciXmW0exXNsYoPeM65/QamAQyjZDDRjKW3PXRLjvR2ytmPSNlcDPhXH3s6BGbOXOmejxc q6ucOuiPm81CwrjRR7foAQ01sg75oiXVSfpapZJLFjtEwnstrhQZ7iO+SKJpiEQKQFRJy47vtjM2 rBXG7Affv9l+/KPb7JOzz7SzNp2pnpNLCjORRcPeDwEHTiLpg22SQyO8Ad2UFiQYqZ5X7c/h7ZNH HiiLC16kNO3zBWWUbaVONXJ57c4OGrEFxwilckCN+9RDUsDN5eyCC8+1hx5+zF57+VVbumShLV44 T4RmNOHlBqNLqVmW4ErJXxNbL1GqOG3rrimG9v7QkFUzJeuVk5Av5nw2Y0UOknBjGTMKbJTDqTzM sXY4DFP3XEoRWGglOIQy4kFoVTTxW5U1eT8qUYHIyBJi3v/k/gmhNgwr3JjX1zPfnzZ1iq1etcLe eP0N27Fjh+guNLObmURT8K5B+UHZIsOUGEmjptTM2EZ787+b36PEfeWVVxW4wE0hHxymDJ5lp56e MqF6wxwmJoMRFOEEA2H56levtnu3PCBeKM+faeNZZ29sBJSg3gVsIPaxO5IXpFfSMJMNDbfUrw7l CwW2gDzF50pYPNpCtGOAPkQG660Tlw2iDUOf1tkSLdbVBjzDM37WcvTIjx4/1ug/hwMRVm95Fu9Q mXrYwYP8AH4znx7p00kwKguijLUWUj9Em8w3a8MySx/eA1LAJNRgrMXmSA1UVAYAkXLTWcAJGhEN dtfj8dIDzAnZEaROggdmjTff/DMZZ7J4iNRM18g6Zs2abgP9uMgOJAdq9Iwc3wIJmrQ60lNqZPUU Et7HZZah5rhKJtmI0vXGonJMkGdaiWKitJySDmMOgoAHH5eqzQpdjj366EjNHnn4cXvoga3W3dkt 5cj2pJvECDqmbEJQS8OrKIQwQnwhPULvkIXY1T0hLQCgCl4+J7H4RhbsGypltnUTqI/3IFBOntzj Sp1sJqGYfWCihSKAb7usny644By7/ed322OPPm4nTZ8qC/nuUslGtSpk1eEZtOVUOmPD7iqbZgVw MlmzCuJb0KrqNE3z4gPK5bhu1ldOGUYiQ9fqHnCgcKXqwj9HwqWhABvDjZCQDGoW2TEywawZib1J EDBhpsRnJdNLE8WGblXiWiYwadiVRa+QPYAwI2RgcGqoFjQ0pmiXKIA2CdVe2nkAVIkm/KDTd6KU i6AVwSVgH8rcKxXb9fEuDaog1oOLikwqnmOsySzMjnS4NClLyTS3JauS8oYbr9frPv3Uc/bA/Q9r kk4bZdGiRe6QlPBQ6vslTXb2QtNgJGXBkozqaGS2Mv1Iva6slGebaiWeiLAfoPoU1YMOS7aY+PFF Flhh8s46RsxRulrORaYBFkGe3hzrmXaOfB1SX1LAYu7lsaGKTe1ssanj0HhusaHRqh3oHbFZ3VAp KjY4DNwmaxn85ZL8iutsN5tr5bJjRDj1GwaROn2DkOs1eDWXAlaoM4Z+fBL495LIxd9UymCzXWqz Y8fw53tCm3nmzBlqkhLM5qxdZUuXzle9K1XRfEEcPH5/aIAAOuS9HwZcYq37CVuUW05BI3yai2Gy qT5dkm/JZDyoOEfRN1iMiWU6OuqctbFIa43MizDnl9nv/d4MoYAfe+xJe/e9Hbbu9NM0IdQgQC4v PvGEosHpxrCCZi8lH+WsE7jhEY5LvRQvF+EL8vk4nZkWoguF2cbAwKh6dcSuiZOwVdqvbJnR/OAg QX5IQnA6bNLAJFxcKFkpETdfcqF99ukX9syz2+ynt/xcgWzNaoC1LZKN0YSY30UEBxiLTkRs3QKZ GbStukCprTmXwOWDlmtmx0erNlCpWYn3JuDVyCzbra8X4ccEe2lkIyF/HI1d/c2X/A05MHj24Wbj gSMvR3AFIoK5wM0pCwqDg+RZkPlS1hQbq1VlCl+I/HGY+3RrDM4qFbjupGQJIb5fqgroomFYOnnK FE1iY9DQnMrFxNwrD96PzwfgF+gJfSyeG71dJoBuZOstlJi+YYUXBwVHajhHg8srfrNoM2bMsAce eMiefXab1tvGszYI2gJuatrUyZKDUd+PjEry5c3s1SlkDndioioTY/WeOBRdBt0FA1x5ljK3r7c/ YTnZHwmlzioZHdXUkfsEbo9rdWXTeqPn6uTx5AqfMH5SgZECiNP6ImjlDw6UratUsPGdDkYk2xqu VK2VMqBWtfaiTwaPDYxYe6ailG9whBlPThQE4bYAh6bFwgYFFujkxnwTQS86AGK3OcvVOGlYBD4W 1wQjRsZqwntgdCnkJJpvdVuydJEC1iWbL7Jzzt1kPT3jrFoZsqGBXj0syrPWVu9FsCHpLznlhbLH fdV0utbqGomX2ju14Wmsx4AgPxra3d5XolSTlnlMRFIaTZqsqC+5mOEkgcxGcHlXCMldXePtvPPP te3b3xeT/fiJXnHVRuuuTSQXoqRZDc4LkOiDDz5s/88ffNuWLV2iBU5jns+M8QQZ0Pjx3VpM0CNo TtLLwykZ4unOnR+qFwLYE/suBwnmhUYGNQ+T/uKLL/KgW4em1KpSwqd/dam3Qgi+9PLN1j8wKFmT v/iLv7FvfP2XbO682Qp89MoYaxP4oTwFn7RBXeGkhdDK6V1wmWQFEWAI2bpNbs3ZnkHX+s4zZZMm WbemrRqxju2JCD/YlIUJ7maUSXKHTiYm3qD3BnXofrkzedEKbtfX0JwSWj808xPQNcChantgDFJs 0aGxa9enduwYTkSsBV+TYmJQiagXg9lHxXbs2Gk/ufln9v77H+iZLF2yyE5fv1YyMEBOfHhUFQVF cjza3G5Xf/ElF4rQ/PDDjwmGcONNN8iCDQNiptNs+lA0KSRXpRDnC2xeSHHzZ/GSxSKzc9D94Af/ x1566RX1tTgQ1q1dY79041ftwgvOa0wo5SeasGNUI9KGF4YSA1wfgUrmggAAIABJREFUwHF/OCCl PivDF2+VAEdgz6N6oUY/SrzJEDZ6ZvTIaPHQ65MKRqUqLTJ09pBI11Q3qQYTMxAsIIipb8tABFFG 9pZVLD+xlLO54wtWaqnb0YFhOzJQsd4hksWMDVQydnBg2LpaczaxvcWO1XLWba320bE+a6uXrSs3 akWQtsH7yeWt1N7hqVxCrHqPyx18cW8mCHIjWPCdXeMa8IYQvWeltXV2W6FYslbs5yVx4/wj8EZk RGx6RMGAQuzf+5nR3hHafshler3X4wz0ro5OXQvAVDZNqR1VBtckovns6H6P3j429yajS55QghUs ny3YcJnmv59ElnG/Ph5WEHFj6uOvVxQviteCB0jAOXPjekmEuBxsUSeJEhJh1bj2PtvxwQ5bsmSR yKs+jnaHX9Lsn/70NvuTP/kj3U/029l869evs7/6q7/V93CHxgHn1FNX286dH9utt/5cPUCy2wce eFD8yK985fKGtAtZDx0YDROkd+eLfTSbt9POOssKHahbmPSxMCNlA2Hkeskl59us2TP0zNqTjIqy bvOGrAcD18si8xlJjWzXq/fA0lPMWl+Zss6sOwOocMS6uydab+/BJJEcGUwARH26GIJ9DiVwXXNn JmSb7y3n5YR5SsHPedZNwK0To5v9nFD+iIkff+C6ggB/6623hYBn3c2cOV3YNrIgiMAcJk6Y77Dt b2+3m3/8U/VvADP/wkzYNyAKv/07v2XTpkMIPixJag4XyvSFixeq53rV1VdINO/HP77FnnziaWn2 Y2mloNHnjlNcU058z/aEtPf+mVuHeQbkqsGeJULGv+qar9g552wU8v3551+yZ5953l544RUJPq5c sVwelcUW9/FkzeteaBLo/goEVoKTsjvWtQxl/fAOVVD6zb0n+m3adDi3yZsg58ViLeODDlyump6J JDHes+49cdzXUQfxotgocdnrSEFrgJEGc/JHYJJ+6qxx7l9XHbUOXG3zVcsVajac6BOdRbNWTDEr ZocHy3ZipGY14V2qlpNyoi8IPmh3Nyh3+kM+KnXsCNOsgmRVg0+UrXjzTTITmgr4lNGNJ+tu/0Vk hTtYiVSxpv5Of61fJ0cbQWi4P/GovP5lEuGlk1N4KGe6OrtcelinvJdvRHPqaU85Aaw5NQI1X+Q9 KAeLLWXV0hKaQ/6k4jws4cro0aVUlRNX/ZKMqzhyQsiAAYULZYgVTTspFVBwQPpWwVmqqvSonLkf WmMhExv9GBeMK2qR8bnffme7AKV8Rl6XExtZEQCDwB0I2mRT/Dc6R5QFbKJ169aJguRNVBgAvmhY qDwH+hzFQtHaCi12LJOzk5cts3/xr75la9assA/e32nPPvuCpHpZoBBy50tD3oNCyBApQI14X0bn JX9HD6tebDipsJ9QeOjH6ZoAyYMbRlEDOAIa4F5OfvkrabV5tEpNX8ch+ft7qey4IncpL1c9y9cB k6VX46e+g12TMYOUIHwSN9Z9hxdduHChfedP/qP94b/9T9JGg2NIkNzzxZ7E3nA8EpgngjnBC2Dy 1VdfZnMWL7YdH31ir2x70Z544mkNjs4660y7d8v9ynRgYZDBsUnZG/w+z5IS/pTlS23KlElaI2zc E73Hdd2UZtlkYxfQF0mZJ25nTJVDmTOkiGmdnLFhvZ229jS78qqvyIDjlVfesFt++nO76abrxU0N yEoMPhhQwN9rugmFSrAHFEq/wPapF5vJ62CNdknDti318HRYJbsucTgzJcuMH68ymvVI7xk9fT4j 610JCrLLMtPFksy/x/vmMxVwEsBXa5J/4ZmXbViZU63Yab3DdTs84D5mxXzWjvUN2MRWs2OjZv25 ok3uKNgEhPD5WAXeMJkIyJPQ1SmVJ8bkJAnhl0odCkqkfzKuILLKEZfMyPWeo+/FdItm+bGjR80G Tb0rJoPq18BP0qSxqDLPyyy0d9xOPS9Cr5ckkUUEUluqkkzllAV6Y51Sz3FiPiFpNBpHvRxUKZhM Q53176TmYiuWaO4+xMMOGZTNmy+UuSklISfrlMk9ep9AdvODxXpJUiYzZ82we+97QDpDlKI8vMGB ITty5EgDh8N9pg81d85sncQAHd2xd8Tmzp1rZ25YL4zWwOCg5EfI2JCq/eyzT7UpJk2a2IQGNCAe SX5E1u9F68nlbRC3o/kL7eIJ4+309eskwfyjH90idU5IwgQsMEvQV2RUgkdd6g9J4jaZog4nB59q kaGHj8c5nNoyNTXgezNZm1BwyRxs54eH6WG4cGQjXDWxlo1/+loK+WSnxPjUzJ17/ACLCW+TTPul FwrUKiCM9CaRcUEpoef459/7L/a33/+h8GlsLErylSuXSr+LdXfk6FGVc9xbgiFZ2JJTT7PTTj/d xpVa7aH7HrQ7b7/bnntmmzJt1uXadWtULdBDoinO/WRt0LtCCXXBgnl2/PjRBA1yuXDXgas1A3jq 84UrEes4gNxN8UAfCmCUIg22cd2aGCJrjJwO7015uHjxQgUe9QVly1eQRru8FhIe0HFbaaIv7KCz TiLzCz00H8o1J778HQnD2MGDXsdarahg5M/JoRPwmL1E5/DXZxMW0VtE6kOqoZe0mtSIrFaslM9Y C1OE2pDVFNXASHljvLNg1o9DExKrmaz11QvWmSta/0hFLr6T2vNWTBwrNk7whiSZlRj5BCqir5d6 ReEz0LwKTpiH+pDmcD2lEKzji/qXJjw1MJ+YyCz0siJ/0hynyQckIskDt2iTus+dq3UmGZQUmJyc 61CIRgOwMmr1IhQONJASnSgtCNEx5PrChM/xVQpiSdwt0P/Qakj7wZMRiKL5qulULvh09NTyEstb vGihypD9Bw6kKZH3FLS9mPgtXKCSAHgHi5wXpPTgd7m2/QcOalOwODk50cZiSMHEC23wa6652vI5 uJpOm3JYCD0MskYPoiUgCjRPMxClW23OjBk2Z/YsmVQ89fSz4kt+8MGH9vHHu+2ZZ7ap3IREzlje 1QvcWMRVHbz0Y9EzQAk8VB5gaA3hu5xVJeTWZ21t9OfcBqqhpzY2z/IEq9Evk0xz0xDQT2fJ1iSV 0lSi6Dk3lBuavzOWGqPGbxqcuBEL5XjJzj57oyAzwFWAxcBXXbnyFButOPapt49Sfqft+ni3tbaX bNrsWToUZvaMt9zlF1tXZ4e9v+MjO97Xb+vWT7HTTl0jiRaEAtl7ZN4I5B0+ckT3eM2pq5VNO5Yw HbQJw1ZtSNT43mnUvA2LMw8IAe8Qa0D9MrCTWJ4VJSnEZ338sSft8See1sH2zV+5yZYuW6KyV9xS 9fO8DxxTPocp+dsRBKsjZNPhAJXwbUz3lXw4In5sm0SZbtzzRIVzaEPO6lDk1HwvJ0FPB5TiI0CG FWR3wnVeeI8EJdBkzIhuJUW88lCvlYrt1tVesko1a0f6hiVhfGi4ZtPbWqxcq9uJYSZkFTvUN2Id rVnrafeg49IqbtsULHDnBWreaCPVEQm/Cf+hDZkwJindj/RRpRybPz04bioR18esTqWhcTdu/AT9 HLiryuBgExYgcF1yuUka8UotE6rcrZfcHolrDO0j56Z5Xe/WZJSFw/9InsMfHj07J6Z6UzIkRxxZ 3yYNI5rkb7z5tnV2tts8pkAQRpOcik6watnGdXfbFVdcZm+/864WMq9Jqg0cAv0hpionTZ+mKdwH O3baseOOAmYiBNodjW1MA7geNuasWbOldjp50kTb88VelZKu79TqmlShK64pEMF4VEMHKWJQIuey dqRKuu+uPtdce5UtWLRAKHC0vBAJfPWV16xaxUVpxKZOm2wT5D6T9PqlEOnZrw4wFh6ZtlM11XSn OB6qYXZCY7bTcHGSRHAtRP7+UXE4BiUfwwI9X4FQnf4l6EWEsYQPHEsgbygvjM2xEpgxSiJ6XjKt KA/ZmtWnWHvJp7sAO8dPmWp1rN/a2jWUWrv/gO3+7HPth3x7ySZ1dVoR+tSyJXp2n+w5YAePnbBx ne22atkS6xkXPgqssbKduWGdWCLySJByL85NzalgLV+xCs3rWt1Gx5gOu158Ci4JntBw5Y5+VFJk dY37rPdIx42zGSdNt9tuu8Pu3fKg9Uzo0Z5H6SEOx8S4aqg7aI+mUhOMHJk/2Rb4xYajebWiARSH eAwx4uBx0nMkIJ4cNRywQ4EjAXoDnCvfxLxjKNmj0ilzfXQQ5h5JGUHqRcg8+nq1OartXVYodVp3 e9E+PjpqHaWCxtj0lUbKNTvYN2yjlZq1VDKCRGRBJzMFTLwhHgofQD2j5KDjNBXHR7EpI0hwGgup nMVCqNPttpGqKdfss8/36GRiPMu4uPe448GALXhKmwjaiP8lWZMG6lNg1mTQqLrabyj9CBaisqdk D6YAmxj4bEQMKtrbu62/P4T40pQqyaHIWEJNQWeja5xLD6tctunTJtvyZYvlAfjgg1vt449227XX XiHBvx5pjgG9gNhZEWAVQvSixYsbHDW5Qmdytmr1qrQIK5o+rVu/ThpjAErJpGbNOimVBD7V4Z/0 TiQrXSnbvLlzhYhnU8TQI6SryW5Vvo3QU3N2PU7eDbVQGX8WbM7cuTZr9iy76MLzbc/effbA/Q+J A/fqq2/YJ7s/s88/+0LyzglWo2tnOuTSuPQyUwadyrOW5AA0ws8DhB0esPZSp7LpoeGENfv/+ZJq hDKnpsb8GCZvIwuJjeLtL+e0RsM9eqxuclGXeW54A3oT33GFtCMg1UNJyhRLNpItUmLYyEhFk6/2 nok2u3O8a4jh9dfRpoDF3ulsb7PlC+dahWqE6XixaEMcDvgwiqJSthrtEybVZEdp82dxa2Z9cblc Z61uI2SHo1XrAiaS5HyUGdeah/woBPEUDGPoFevVg3xBQnubL71ELQXKwkce2SoaG1n5nLlzRD9T JZH2QpCWWe/89+hIRb1e7wM7zzIyQLeV94RAk9sUoCKbDa6ic0XdYd0PNFduEUQl4cGiXybyc37U Oto7Lc+mhvrBm3kn37VuBKhsabU6PnjD/TZcNRsqdNnSWT1WqFWtb3DEjmPRlDMrFbI2fVK7vb7n uH14qGZT23M2vhXIH32mEwoUUBs6O8e586uiaXDGEpk46U0FnubYYXcwRoEQmD91/scf7bJvfOMG TTei1hZvTLADXGG99nU1zCaxlYVXTs4/nGAisap+9iGAn8wOoiPzCd0t/mJwqE+Tws6uCS43K9a5 8/DonyFmGJtfp3jwE3PwWbI2e+4c+5e/9Zu2dNliu3fLQyJrf/Txbrvhhuuk0z25WNRYeLBCj+uw dXdPsK6uCU7srXGfOGn9HlXKjk1zDBKL2Rcq0xYwYfTa6AM5FYfUvC7oQTSouWZpkJE5yok5J4R4 fmTIhgeHNL0RWzJRk3zYwWJ3iWPPaLykQoEC44pLLrnQfvtff1ulIX6GNJDpsdEbQ2MMZ6BCrlUO wPy3ek2yz3LJonZJpbC481ZlgFEDNhEZw5dTrEYPy10Pk2Jlkt9R6R+25n6ShyBiJZV4MBI8NKYx udQ43dTCQbRVy4CNo40xAiJ7sKnrjrIA9zuTt4kt/x9l7wEuZ3Xe+77TZ/cmbTUkASoICYFAAiRR RO82GFNN4hJjJ04cXzvFsdNsn8RJrtPv8b1JcMHG2PTeEYgqEAiEEEgI1Htvu8/sKef5/d+1ZraI c3Lu+MECaWvmm+9b611v+Ze0JQp91tffb/vyLSIZT25vslIxY8Vy3hrCFCy6OjmUYtjKxX470Dts xcYG68hjVZ+x4WTJDhVKVmQBVjxTdPCma9E5LjAt4HYmUbUiZR5rOFxzBJcK/5d3nX23qy8d1SB3 PfrAX0xW1TMlW/7irZ+3f/qn/8d++pNfqLr4ylduVaIhA5fAYY2HcIm+dqUsbNro7tHW1NxY65v5 M0BNF8yV09xqQVMiCE7k9uY5PbJIOxtwJdSg+cV/k6i4jI8Dz2XaAoAU52ix3Au+eYWxCDpYkiUO noNK0dJJG50v2+GDO6zY0CqEcxeLMUx/Vu/pswakZcrYQCTU5xosmE1o7bRcA4vSKSdRTEj/U6nm o3W5amB1VTVrbem04QLZTML6evo0PYEcyqu7uzuI9kclRW/yE5SkjIlqQgChkiHI9BU1Q9j9mQar VkAhe/qvyE0GyUINJ6sDQHWGO+hQEs29bkKQQo0VYX+/2fDzhgp9siuS1nfgXkYrJ58wuhLjJZdc qCznqacW29133y/97RdeeFl64ucC6hs7RqdwXx+uIz0iovL9GEQAxRA6OUA1HGiL2oQj3KP/YLXq zUkyIpq2DC86rVuLASjD4UM0clPW3tUV7NEcT+WB3XXIfBLqooVlTn6CgMTUXILEMWlQMDwTJ4u7 9LKLpID6zLNLtNC+//3vWrqZZ95g27btED4MIjFTtIULF6oJzHsyncVuKtKQ0gjHEfDJ8jKNViKz k4GB/5MAtxXUbQFSQLB1CoubcDJFfuutt6WDDtzg5JNnCztG1qjCMAgKCo+XdChLzOIo+z0AJNVT WrbsTWtqbbEF55xjbeOPt4KynJJlExVrzKYsne/U+kkPD1pmqM8sRxlE7877rUDCopaaSibEE3me yAEPDth2TRrzlqxWrLkMdIDDlPsfNcRcGpyALDXaoAlWqFRtz2DZxudB3btUDIeTNn7eKxVJKcs4 xCdzmknHplaos7kmOJPX3XCt9tcD9z9sq95931atWqMM3lV+Wdc+9Y9NdVRoR43GYNUFAVmTfAYH H3sgeitG5mj0IOXeMDHn8JAHZRBM4HpkR6desA8OKAFZ/54Fe5bPWgVHmOZBEvHiWFcXoQulVIDg 7PpBNCCVJg/2WZO4eUdssGJWzLGpmm1ca8K2HRqw8W15GyxVrL9YtcZsxjb3lW10wmx0NmEZHl4I MJmsAzLdNMBBcYnaF3FVhUjsVKALPQeP+L4IZGPPijaTHEal3OZZgqYqrjQhi3hzLXcCcOShgYpn qhhBeFFcTpOmEBAd4lCywvCQppM8NJe5yMlPEDoN0Ao1kcUl8+Yt4EktXE3jPV1GfXHW7JmyCDt1 7qn28kuvqv9z770PSVf+6quvlLAg94NsSETmivcEEOKLjiN8PhpC0kISpaSs71EJhpnuNuKyxLxX oRnOZLLGB4vf07/fgMs9ayARBw7OWav1H4IJgJfv7qqEkgZNYplpVip22tzTbMWKlbZ9yQ7buWNP QOB3ykiD7wbgdfbskyRO+PIrr9oFF5ynIUNtQ4GdktFu1IlPSS6XckscA+AmNI+TFcsxgVWWxDWn teH5Tm+9tcLeeONNSevMXzBfUjno73sv75g6lAGAqiMkR/Ss6xpOUhQdHraevj5LNjZZVvruKWsO e55qzKEo7oIOuJN7QJYbJXIcNhs1sDA6Lelg3LB+s1yY8qxtzBaqw1K5yEJnAppgGZWSfiB6o1uU MMw8ArWpqk3u965cjGwQ1Hf9PjitLDbiXWk17iP/7broZCR6X3nVFQpW4LX+/u//WYOGT3/6agFe OXQoiwd7e2pZd0OuwfvKSmY8uysPek8rVhrKjHQSeO+S8jYe5g7MBjrkpaMHdkqc4C+Jmi/aVwDN kynbsmu3vbDkRVu2bDlB3PskkWIS31DgsNATiVxBb5iDo+Eeoi80YMX+XrOWDmtp6bDGwYwNjlCS LBddq71nqGSNWeZBQQGRAFFNhk3piGPhr4I6Av0gJnMKbNE+PEwIsTwCaxSpCpEASiZ1+DD641Bu KN0QezNlAHDcolWUJDci4C5I1kQMS9QukjKoSkp4XO4KxL0hMPDv6WLBHUDyTQpuPgBxUKOyNAT6 AuVIIofBc46gyZRv2vTp2kTgop584mmVU3yvE06YJpG+WTNPsObmdBgEeMnqAcvL1mg7hV+bn07e 8NfmT0cljKwCVtQvV9kqWEQsh01jemmfjdBml7Q1myThwR5y8zCfJ1pKVYTal1542Za+tkwDkAgf QOUBdDWns2ezWXvl5aXusjLzRE3OMNzo7x+UmQYDBEp7/j6a84B4EVxkeMA0eO/+fbZv/wHbsnWb 7lu2qcVOP3W2je1qVxAEvX/mmfP1s4cPHdJAgSAKOBbjEBy/aSWsWvWevfTyyzYT9Pe48W6agCJI sahp3PTp02zb9h3KANmYo0Z1aprrPeeEbduyxXZu324zTjhBE1cPdJ5Bc6iy6aQxpkm23yPRk/Ai UA+0ZNt37LTHHn1KbQ16r+PHjZN34MTJE7WfeO41akxNxZPahazaaWDam4mUlTJ5a866UkI14A3B MXqTnGvwafLH9fI/DnmIvUT+DBDrjTdfL2s3jEfuvus+QWEQMOwePVrZG8oNrpnVWDsYK5HIHfYv JaQ7SrsbuGfjybDPIm84yqr7GmZfq+eMhFRot1ApRWynVHy3bLOHH37cVr6zimvwqOg3zJthXADT Ni6CCZd4YMNF1ZGaiEk/Gpvxfiv2HpKdfTaVsO7GBhvgZBBw1G/guJa8Ja0sLZz9PSUrKJBCnQU6 UbDWBi8V6Vd478DxVfS7dDolXGOaBc8CYzq1YsW7At7xe3q4IeDEngMNeOceeaOwkva+DOUuaadD K1wmxxuRfjLF/pMCnprwfk01rS4FR+ghjmLn9HHH6H6zSiB18pnw6xTkS16G1R3QtMH4GUwxx47t FqYM49K1az+S8cTsk2bZDTdcIzt1Jozq96XCUCRYwyfUrHfZGIJVDLZRrI2HTMkmPmbBDREihERY Mtl2kXUFhjyuRWnPTOMiZz3kANpWEnaEQQpGJaWi7d61x5a9sdweuP8RAVl5Jrw/pfo5556lgIEi ZqEwbNt37JCwIvgiTTMnHqOp0r/9238I+wOin6BMSYLENsEEYCpChEzNNm/caI888phdcMH5tnnb 29bamLeBY8bZ66+/Yd1jxlpBdZfZrr37BC8YPWqUWBCUKUAE4Ga+9trrMunAY69c3m5LX3tNgZID BddiPnvNmjXCsPGst23dKqUJ7heBauDgfg2FXE+KBraXxa4xj2hlyvJhZF/DeYmwPKgMfdv29ZrE 3XnnPapSlBFnMxpeIP/Ca8H8053nN6ZbRqVy3DYT5ICD2NVNE1ZJ562cqlpnwColhIkKGnVxGs/B xNpX1uyZjht1sK1dj80zII9p/D32OKayoPGfffo5e/qpZ+2Xv7xXE84ZJ0yzpkYMOdxGHnd0ZVG5 hBrqAdOrtRfbFXEYJTwiUUS+vt6LQwufdUdwcr38lA5/h2M4C0bZV86n+HwWOEaGOmAZ06Thgh6o 4eluyXyTg/v262YSMd0l1sfglDbcGJq5+YEBef9VaAYf3mOdXd02vnO09ZYSNsA0o6HRjusCS1Gw g70DtvPwgB0ccNMJKrmxrXnLZzAzUAKtk4pACb6jpdWjP7SBdArk8VS5LrOpH3roCX0RxsHA+qNq AV/adaPS1tjM6Zd3gmvgNxUKXjbRFFTfhgDJpg1aQHX3Yp9eupIBfRMvSyMXMhox8A9NbtRLhVNT g5DgETSezF2ECCpZME4Vq6lg8oA72tvsqk9crlMekiqZ1osvvaqGKBkAKqlgnAikaAUh9RKNML10 L2n0y+8PDnpqHbNF52cBvPPGeSb06FAJ9SDHhNDlczVOz2J/dqiG+ha4lgZ0xexgkUVftmRhSH0m 3I544ZBy4YWLhJcBm3TqqXMkzStOaXHYISQhUxD+Kkws+XdkVE4/43RlSmSpPYd7JUKHtDWYoClT p8hjcfq0qfZbv/V5++EP/812791nR/r7bduOXXb1dTeojwpJpXeoKEgB98JLJ4fqODwgJ5fnM86Y p0AHHo7MlmC5es0H9vLLr9iHa9faNdd8UiUQARI/SJrKH27YZA3ZjH3rT/7Ypp8wPYjfBV20QL52 8fgISK775zUIY5SxDRu3qOznsLjggnO1Vjdv2Wo7duwSzYd9hbICCrKscX6dMvV4Zfhbt223I0cO W2NDTkEs29RilYYmGz+qy8aPHWNNebTrU/J6VJanfmaJSVpNvlqTyGJRAnhR8XSkrI+Xho45wy2I nh/Z723/8RP78Y9ulzAkU27gEOMnTFTju72t2aqSXvYSMRU4iTVkes73UuQqOmo+IYlw/aXCkAJx dRBMHpWUu0nJyVz7lGAW/BPVq26UigW4w7SmduBNCkfcWUWZCU68w9o40owKDWRnXfvJHJtkaNRE AmYC1UIbtlw6YQNsirxD8kkjd+/pt6Fywsa3ZKwrV7WhktkgyJAMFAM/BWRZVHCtHEXsshOf+ZLH TZ5o3/rW1+3v/+F/2mtLl0kBobm50WafdGKtHBLFJpNwE4uqXxOpedzAcRrJTSUwSgOLTayJqqf5 Uf44jKOCo0ngzMFRS5GNuaIi/T16WS1to+3woQM2NNDjZq5CBruDdl9Pr9j48qgrumwvpYf6G0FZ AKtvFstll11kn//8V9SYX716rZ1z9pl20cXn2QnTpwZNbHpDHc5plAR1VioLIuBKR995l95Qr9Yk b+MYvw46dGlFNUILJgNblyxxkwOE75wfmrBcomrj8kkrVTK2tdJoY6fOsFknneTu1o0NdtnllyqD QqFAErfFQcukkavxbEJ2ZzLwYDI0bD09B728ppQquRbUffc+YN/97ncCcny/fv+99963JUtesK99 7Ws2qmu0aEYbNmywHRs32qi2Vps8pjv4PKZsbFenntOu/QdsYLgkepHoUUWawvSKvPxnwcMDfOqp Z9RXo5QCdLv01aV2//0PeomXywnse/DQYf39YjiUtcbo/I+QlolUI6cFRY2sOlUNfiCabfxd5IZu ueXTCvZHevps46attmbNWqHkMedF2hj3IwLGhGPG67NxIOdFps0QYfToUZZtaLBJM0+y6266webO mGJtIfvxYQnTXV/v6vcOI9M0aINDA9ba3l6jCPj1e8+O7+sy2S6tM2nSJPvMLTfqGT34wMP2xptv 2/LlK2zu3Ln2m79xs805bbb3gqmQAg839qT6+kEb+FQxSkz8cqxhAAAgAElEQVS5yrBPDaMfA0kS axO+IFUbWZkGDKEFxL+rvRLW4OhRXWqlcD/SbCCJ8jc26stFxxyv4MkQvBkrCx4mAYqcSWFTeMma O2B7XPQObBPGkCVLlMq2M2E2pjFnhwaK1p5PW3cjA+myNbc22Yb9Q9ZTTFg7ETlBfevNapkpJqve fwm9KhqNqEB+61vfsO999++khZXJPKPFxANmIpSX44/ffM+UvN/DP9G7jVKJ76ERf3BNkcMP040U jexUIDynagROUT8I0DmXb/aRuBO6D+zfaX19A/b6suUKRM7xqvNJaqJtNXO8ulWT7l8mbaNGd9jY saNs9KhO++53/8SeffYFe+ONt+yhh++3t95+V+41n/rUVS4pUyxae3tnra/HW0nJEQ86Ng0LsVTW 4dKLsoDUErxsZgpFUCGIUK4QIBD/8yanW8vT94pA2DBc18kMFbQd3f1Mg7V3d8upB6OGW7/4uwKU okU+bdoUNfeRss1lObFPs40bNthLL71kJ82apX/HzefwYdQ1GL8zDklY9+humzRxkt17731y/iZY sckx8MTbjue0cMECe/XVpbZ71y77/d//ariPMPjNJk6YYONGj7bV76221994206ec4qtWL7ceg8f sk1btlge3l4uJw38xc89b2efvVDrxTXVPlTQWnTeuTZlyhQ7fPCQMh+a2+dffJEN9/fa4088qeY/ 5iCcbqwVj0z1crwWqcKv4NTef2+1bd60WWuAjFlKmnBuW5vt7LPm28WXXCynn4P798spCU8CcG0f fbhOwR7pb0pnKFZMPnfswFhl0Fa89Y4tf+kl+97f/pVdsOgsS6tX6hUSar1RpyuKTIp+pglpWOvS soNBwVTOM0ZNUoPeFofR7/zurXb1pz5hH334kW3auNX6+4dsx849NjBY0MHa2Oz7XoduFrpVXuv7 4P698irgvXmvSIXTUIHAKjOSjNYY1QeJA5xKw1VcqLpqzRFIXFe1EibYovPO1sGWbmvDOcVTSA1p ZEwwpAcsTztp7ZStOly0niNHlJ4RKbF+IpPhvzXZClZEsnAKVmFDvYesn3q+jMlo2nqGhi2bSltL Pm8b9g5a79CwDXECJrLW6hlm0NTB9bmshmZsqks6uTBkzU0NtmDB6bZnzx577bXltvaDdWoWcoIB D4AKoV5UwPCQIjux2G9YQ6COiJBNwKppyZMN0Lfz/o8bSzjSXiUjPamgixVLUBckHLb9B/fpZOzu HqvU/f/Pa8eO7co6WIjNzQ02b+6pNZ4eLjb06x588DHbtGmLfeELN2vx0edxjlajSL1kSm5I66No BwP7RFEEVEbTNUhJVZMvFooGKoKbuKaRc8g8OMuKPpzEnpmWxP/rqZjNmjfP/u7v/1ocubeWr7CH HnxE2RYlLn2QqP3N9GnD+g0SwXt28WJJ05x55plSsqBBT9P+xBNnqDfx1NPPqPlLOUIPiQ0Kneie e+4VwBEyMoGN5vzMmTNrUr9iOxDQzsISfbQ8J599/HE13Y87/niZ/+oQTqRszLhxdvPNN4p1sOz1 ZTZq9Cg78cTp9s1v/oHt2bvPXlv6miafeBK2Af1oarHjJ4y1l196SQcek8Doo6cMOZisxoDFgUWw +fnPfiEXJIYA+/ft1z7CFIKMTo5QMq+oChcGPrGttUX9PUrXq666QmyFocKAEOnQujiUKZMq1art P3DQXn5pqT333Iu2fOnrdtz4MTbpmHHelwxa81QNah0EYrgL8/k0D71/Rwa4tI3MVZnY0l2SKw+u 3t5XnjQpq8xu3rzTbfeuvVLt+OUv77I5c2bb5GMnhukj8BQm+zBOaLA7WBWgcYog5nWnfiayTdQA gvM5mil7v8vbMCMN/XTXGHM7MdY2gFauQ/1mFj5Ct1lhJ1xcXhMtuAEjuD+c7JzKkUsXR5i8CFik b0r9InWAvwZuZXjACocGrLGSlGLDMOYFRRxHqnbc6GY7PDBsu3uLts/K1ppNWndzqwCX6PJEuWCp hRIAg6oAvSs+773310g07b331tg99zwkyQ+a1ZGPFNnn1PdiuGuUHhxoeYCB1OkE2mCQIIR+KAE1 VQuk2ZqedV1DKaKp2TTQg2g803PCFxARPgCUONqwYSQaGIjYkJXpl/Dn9Kb6B+jjpJTlMiFh4zGd Qd6EvsaTTz5rr776uk2cNMGmTjlOypSTJk+2SRMnqsHKpqHXqElSODHlmA0EQ6NjpyNFpU2ppNb0 xh23k8053gZAZ00baYR6gXpbMpVNWmtHhy1cuEBlCzpQ7658T7Qg11L3+0Ewp5HM9+kahQV6r0Tt oBGhM97VNUpCh8cdO8WaGltUrnHwgNlj46MNTlbCeIbG/rZt23Tys/EJdPLLCxkrfatRo7qEPeIZ +NCm1UZ1j5b6K+/D9y8mzKadfIq17t4juaGO1mYbP3aUwK47duzWBLOppdkaAC5yTxnsdLTb2eec 7dWFptJJyyQCXixM9sCZvbb0dZV49L/efOMtgSrRxfIscYqdt+gsX1sEEzL4QEejrcABwRBr8qSJ oswwBe/vR0G3T1lxHJhkslnr6elVKwNYzAerV9vmuafYuO6uET4APkEUZUdSMP7vUfhPjeygnBBh P+7i7hjCmBFFET2SkrZW1ozva6Ap8l+EfpPKWKlYtn17d4hLSQuJw2X79q0KzgwyGIaAjzt28mRN Hvn+rNUd27drCsyQBDURMtKDBw4K9kO2hr69QC0KwGmpSsw7fa6l5X5BuRCs6ctDkaLi0ilR6Y+N QD+ot+ewlyOBcwStw/lpvhmd6Ozid3k2SaKiGroBVU2BMbGHbhReq70xZ/t7C7avz01Ux7TmbWxn g9J8SgM16ujNyK3XjSWcEX+Mbs7MWSco8+DmIOOx5oMPNS5GB0obLARcCYOJUe48rQjdEHBS/4RA FKyVVG9DLgrToPiq8c/CNC4SbMF+VZEzqVZ1Oq5bt07ievRJCF6oLdDs1UEQtMd5cDyEaKQQS26+ K4cIQQtLeTJGXrfd9jN7/rmXZWNGA3LK8cdqCIE7sygSkucBc+b9EzVDybyCo3ekRUWTgWiR7vrd IVvgarKBWBvGmpEXSgbGhFenamnYdu/cZWtWr7HDh45oLA/+SfZs0QotSM+0d7Spv4WuEvcVvX0p aqY8kDpVZKyNG9+tUy6y/KPGgoAVSRRWiyrjurvH1Jr4Rz+XqvpmKB34UASOa0LllzBL2qwpa2pu sinTjg89HJ51Wfiu446baMVyVUYaClZZV8jklEdFIxKMPRjXZY/ZhHgZ3vWre/WcgVScfc4CEZyn TjlePpGdHe3W0tRg/QN9YW+5f6dbXrmrkUvG+O+5KocrWPDsSB7oG6UpqQYG1YhX+UffqFS2PhzF NQ7CKMTXMfr3DLYQIiDjqnEpQ82q5ySByqDtHkCgMQlx31Bfq5FDqEwoDG/iJHDLls0yXGlrbxc8 hYNn08aNGlrwPdet26A//+xnf0NOUlQS48eP1wFHNYLLOWoga1avtfXr19tZZy2w9o5wqKbCfqxU dF8xl03L4gcPMCFZHU2tEiObdYcLUm6MGi2nL0X0Z5zv6o0uRcyXIGgoGwpa53wZFpBQ7MLzVG24 /4iVkTDpTFtHU6P1DBRtf++g0LrpZFJg0z29w5bLJK271VPvwQJASZ9QcmpyXWwexr+cvJJL7uzS 6YZwGg1qNjnfIbYUxG+SlEyQHVEWQgD2Ppb4gZr+BMXT4KXoiqN1h2PXkXPhNPelC7reIp36xiFQ cQqRUbDweDjcR36frIsARnZVlzr5GDFXwTUY2yJy2NKsSdzWrTtENkbZcdvWHQL60X+5Yu8lNv6Y 8TrZmHypx6hFn5Imd7RBd22joNlNSRIaszFTcN4gipbZ4J7i9BVG1+J+WcKGQJhXy3Zg+zZ74pHH 7V//5f/VM7j8yktl/IkksOftftiQUTgnz23H6FmlmgAN5wUSJhDSB3R9LjB+sWyNL8pyfkmrER5f ciH+T1ZhQW0k4KFoJLvagTsRcW8xv6BLKgS2VWwAAPFwySpJHt6QDZbR50pYQwaIS9aKkifzxm9d MiXomAd+3ubNm6XMiucA9+DKqy63U+bM1gYDt4fTNIYkaD9JijtIKivL17WalSoFQwYsPnftK6qJ VEbPkHUv6e8i6g777aEHH1Nvh0lq94QJVkrnhMRPlFzEUCUXLYPw7AFw+/2JZPBgbiuF5qqccTS9 DeBT2iQiG5OliRQeAKLhO+t4qJoO4dVr1ti7q1bZH//xH0i947HHHld2PKNSlerIynfetQ/WrrUr r7xC2TiMFRr7BCvknOlbopC7foP36fgzGBE8P+BM8ZlSvl93/bXQ74L8RpCB8AUBmtf7PPEl4rD6 PvS6GmQSIdJu2cXw6KdwSuvkDvwfSWOUg+xHMF8tDh4RoDWJoigZR8qsswVUc9J29RZt+Zb9ls+m bc74lkA9qFgWZnw+J3wVk0mdAKF52N7eZW3tnWpOvvnm2zZhwjjrHt0ldU83FfAMwlPkYNyo8WvB G8wtLQ5nQA1VSFxH30sJsYlMsm6I6bQLNrGPheNDpMltVc8EuOE8yHfeeUfvS4lCxkWQAkRJaQP+ hyBG4zoqXUZlCtJh3h04B1NSSqSJ7W32V3/955o40bt7/z3G8UvtlVeW2dNPP28zZkyzq6++ws4/ /1ypjrIxcHSgzPOyg2ECE09fAARPviO8ykTGmf00eXPa3NHCyg1KpVVElpvmhE/bod377Nknn7Gf /Phneu63/MaNdsON1ylrUkYsD8m6SUbsPUoMsqlFBrW5PKqZgzY40KvPkE9gyJp8flmL5a46iopH gCnELOe/fkWDCqRtHF8XheUcRY3JKqhys0YmCYmkHcLFBQGAVM7aGnLWmk3XN6ikeesO1lH3PR44 SO4wxGDw8+nrP2WXXHJRzdyDFgq9Qhmq5BsUfKIyRORLRo6nbOfC2N9BzxXr6BplLa1tgczuEBlA lPQ2kSM+68y5NmfKZGMWVAQflUzYkKzmoRDlrZQy6ymlrK0hgEXDEIqskQzGKUou4hjFAbhA1p60 y4IyqzCSmix7FRHVGVAUATzOocxhOXduu/30p7crWDMZf/+99+3goUMqi2mNsJagcLE/MMVYvPg5 3Sd640AvEBtksMa66Dly0Ceb4TNz6rHnHdYQnURYKFjutKZc1hSslVts+dgyArk4Fmj8SnSNIJLD aSeKn3l9q+xocED1Njgd3nwwM2BJpF+GBtTALLW22dQxPMSk7erx0nJUY8YGhsu2/WC/9RRK1t2c s2M7kE8NDeBQwkDyjFpZ3FSwK0gH00OixxGpChGqEJ1RNOoGlxSuEZ2dkYd6HMXKnFMuM4xaswHL Vd8otcNWiHY2WpCbiY5B4UVwwKeN4HTSSSfZjBkzFKzuvfdePTw3DA24GBYH/oyBHsW0JJ9PaNLH YqIpS0Z50qyZduppcwTtIIBxwv/0p3dKGvnaaz+h6ZJ6ZojqBcgDnnmGHjtkd/iVTHX5vKLDGcAt ISoo9YCAPeMaAHBmmlqshIxPKmkvLn9LKqYAd7/3P/5c0zX6Rw6JcFI4i69UosT03qcgFg3N1t5O 4xSoxwFlVWRvMbNE2qgqpUsHudZDltNJBFL8b14RbuCaaEiyYOMOFqyO3I3mCAQqKDHc/8EyQ56M jcrnxBOs2dXVTFYiOts5lyMVOhko4OTU0d4h0G9UegDvxv4AXK32CId6jopjWCTnKHxHY433yWQD lzXQoPgM3Knd98CzvEw2p2yL16iuLjXryaTZv7ALNO0ddhFKtWUAJKWy8mjIhiqBPiWZWqm/LzTj K8Ft2X0NCGRqvwT9fJeldhyiy934Yc9EnzXAjYVpQHxgXfMz06ZO1TNfu/ZDAYcXLVpkd9xxp2AZ tA446G688Xod7lwrmehPf/pz27Nnd23/8Bn0rYWsrxKsIffTNwt8IM+MfBzKh4LvcXcVr11jeUQd zmkRtWuEgAV8Smoptc4wfQjARk5XjTjLbhMEbguAXzabsFSlaL0lkLAZq6SS1pTPWGs2ZcM9g7bt 8JA15ZiomA2VqtacQ1vJQYjOso/ml37NNGO5ERAkEbfr7OrQ9QlvRf0f+gKcXgRbaX6BlRpyu/bY S4rcK8CqbqRalQmsKA+1TUECE7EmBPukelgxE6MXFaeFe/fuVXZFpkWZuHr1al0jaGuaz3Aao2FS zR8uyviGPUuxREM5cvkYA6PdzncmoJBq3/YfPxXMAPDllVdeYpdddkGQinbwZpwi8uC5f2RXciM6 fER9GE7Jrsa8FjRMf0p/uaRkstaXyNjobNr2795pH3zwgdDunKIXX3KhrKXqciyOnGcBks1JZ5xM OoeChmusDRX6Zecl3fWaAiUEeGcQVJlSjvCA/N+9orZVDCzx10gxE3sjnNChkPFMIjhws5YyyaqN aoB0776JdSxVkGwRGNQHNC6TAgG4T9rslDcokZJpzDr/RPVtom3a8IhghU9kDA4qT7V2/KBQqwIJ pZBlR/MFtwkbsmzWhyI+tMnapMkT7ayzF4qgjY0XEs0AbWWsG7wR3dKMAAiuvCynou68B0JklpOB RI8LEgkAEBj2iDq2AY9I2U4jXrzb4oDt2uGsAA7gxx9/Un1U1jiy3Aw1/v3fbxMIGIclAMFvv7XC wd1nLRTo9MCB/aJdzZt3mm3fvsPu+tXdNm78eK1nBjhqI4Wq5ciRXgVnApYfvA2WDMTqtLwEweUE P0FBGaImj7BIEa3qI8n4pYh2YJZihuYETATznNCYwAMQkGTJcVEEL06DdIZJGH6DjWJuV1IEjF6D jACilwGnRq6Fio1ra7SxrTlryaetodGF+DTVi43vMNnjVFmz5kM1Zql1XfrCS70S6G0+pxB4klrM 3q+in+DyI/UTRN87qJh6ieyuIjVxt2DcEGk4H5ds4veY/kUSN2NyMj7+4cXkhGBAJsifMflkA9Hk T1RdGTP2nOIEL2JkcKqOGQIYrM7Odv0si4dpzv33PWRvvrncHn0UHfdW4Y5Gj+7WYoxmlGRRzS1t duTQEWG9Xnn1NTVGmWTdcvP1Nnb8uHqWECY0wwkmWwl7/tkl9tqrrytYXXf9pxSIPTg4J5P1wUmu jBbuaRIrdc8SZOxRwk6eYO8GrHGTRrE5IbE/hlP77wJWxBFJFypy8UIm4ZCYuiWX9/N9zUS/Sd3L SGs6+s3D94hUEm91UOZ9sPYj++Wddyuzol8z/YRpInc7p9MzDUxM+DxaDqJJDQ3q8HSJYafBJcuO 7ZPcTggi/OolYsnSGKIMMyn3qWIGz8TRXfbV3/9t+6vv/a304SnFJx87KRjzhr9P8zw4UgPrKTYk rQOJomC24eWt9y6lGEEAD4lAPUtlf9BHLtuWzVsEcGU6/Z3v/LkoRewdsh9iA9AUEhEwm2Cmxo4d p8SFSTYqtECfvvSlL8roGPL3MROZhvrgjO/Jfjn//PNsJ/AXsGgvvmAzZkxRpTBKDtpJmdso7qj0 4dSVIiiZkafwjp51aQoepqDzwRqbm09W5RlWGPFSEhQJWD7yF/ZJKHXq696aOF70KFR6WahYWy5j fcVBeR6mUyXLpBst2ZRVEBnT3mhjWvKWTTuMwhHxbmcf38dpKuVgGprQ5K2js8uaW1tr/Rgan4y6 Y0Bx/WuyDHevSTJZEenXMUwyWCXwsgg0pXQwnoTJGOWGRRWFybh3ZG1MiWI2SuAnu4q9Dup2ft9d cFSLqwGPphLlSS7XJJFASiMyDbc6j8YCHpslwRO8AX2C6Y1axsIA63hO/QP9cke5775HFMgoIUSc DkBaggsbbunLr9mby9/WQuS6137woZ006wRrbG60jk70uLKWFBQkY8PYW5Uq+nk4jwsXzreFZy3w 5nWcHEFbqmFoEjoE89lmbcbh0Fin/KJE80AVAZchM0LOJuGQklCFqA3wf/QKrksYgah/xmEUBiye XDnhLWYP3jxP/qfSb2QpX39r37wcUvz84SNH7I1lb9mqVe/bhRedr7IGKM38BQgqll0hY8j1Gugl Uk2wd5T5BZssrR1kgKMDeJDojhlqzUoOXh0UJ+mc5SyRx4A3r0na3HmnyRzjw4/WqxEPNCPqrtdA owgzYpibzNghnX8uR5OppiwXsXm0LWjWEwzIKGtGFM7zA3+3Zs0HtuyNt+3UOXPs2ms/6QOSsE+i yq4O5GBwS+AGp3X8FOdn8jPnnnt2jWUBZg+TXg2WAh+Rdbt33z57bvESe/HFF+W2TbVwxhmnCeJQ 8yWk3xB10WOk1wkVUOtRxoSUjIctN4sQiZXSynUGM8y86mafRkQ1R2/m9w9xsuQcch++aNTtIVPj oeo6igPWgqtMHgebrDU3ZK0h55woPyFdYlnusQHvFaVPgDLw8PGRw+GFdJVrGj8eK6OUGomSrcH2 C9VH6Cjc+EAcjcqoakTH6wu9KtFeohB+1fsX9OfkIo0kTr7ZBpNF6+k9rGlY9MoUWz32uViI2hxB WTH02HBbwfaLJiVaW1B6WKg0hvWAg7pEzChYjLFXmKk4bSjqvkPvwZcQ8OLzz79s55yz0CYcc4yC 8cGDW6QTz+dRSrz04svKvPAbZLG///4ae/utd9QgZQLLJmHjoDoJKx/JoOb2Dp2qADvRN/d+S5Al RqVDNk4hy6n66U3DmTKQzC4qodYi8AjohE9aUawLWmmKFrhU14PWxwtEGZkyzAn9TYI9wUICdBia oOsVm/QBj+c6U4HoHjKp+sSxrozpuCXiGrCACHmp2IEDh8VJZIN+/guftYULz1RpLzJ5sWD9fb16 D6A/tFUo92Lg0/SyCI8uUM4QMAxGEq59jspHxZJFzxwJfirLQgskFQ2KEwkBbBkK8Z5kdHFqKdyW AKFOEcskzbLVYRscIvkIDWzWlJRIE1YFbV5SWmI5ZdKuzFrFKSqRtj3799i69ZukTDpvLjAPX7vc X4kLpr136SyVcICVAbn6VF5SJsmqbd2MIu22QPyeqAGUYBhmKqkXL16sAMy6ItsnAQEwzeRwwcIz 5LUIpi5NdI/BxCVV3U2GBwR+yqVcAJg5YThqRmv6JkdWz3K4eG4gd0vZC5bdNB5DbcpNpOwk7BFI +NJgrVwpsSHQZwYtxwapFqwjn5UChPP8/ARyuL5DLhyb5XQUFu2iRefIDeSxR5+wRx5+TDeRsuuK Ky+z6677hOGpENUP44nlNvU5LYwBkXWzyiLl/IzgfzZILjNSlgQyGVjQgR8u2uBAnzKmUaM7xbTn +0m0P7hjx+DvImtuwOnGAGBeyDiS1tyUs6YmHmzB+vuPiEzd1Nwuna3i8CDx0VG4tdE6TemEUn43 wXTkMvcGVPT8BWfaTTdfb9//6x/YG2+usMnHHmu53DZ7/rkX7cmnnlVwIdsDlHrjTddpskiA+5M/ +Ut7c/kKu+Gm6z0blnGAZyKoEewfKtvV111nB/btt7ffeNOefOJZmz9/vjJOnw7ib0iz2TWYULGI JG3RQ8KEjef38Reii1pGVf+Z+s8BHRyBtxoRtHwkHyRdlDkGBxk57mRCNheyqaQfFIKyFAetwjPF kCRoWoW4VQss8dfosgTJmiHP/v0H1XpYvvxtmzZ9qmRzwNqphAsO1JRj8uWU5ZsH6JEqHgxVWLeD /UVZxTsrwOW2wT5GaRkuh3aBTxLLltKBWpJII5k5aHd+aMaJ0238hLGC6Lj8uFvklVNRTcL3tmP/ kFAu2VA1aT3DSRuCC2kJG9fSKJOWYsDacTMKwTz5zZUf2MDgsL7rRE3AUW1x23k1wTMpHZyxNE+F 67WgvRaR7Y899oTdc/d9qgZuuul6u/ITlyvoE1/IqB584CHZ4GEh98mrr7T/74e3CSwNcfztt1eK yfLJq6/isHFUa9/ggAIMo9eIAQLsJ4yUtJIIWGCskE31spHFqh5G6A9wqrDIWaCZTMmGCym9Bw1j d451+QvXeCdoUHcH63hoC1kAdTnr7T0slO9QY4O1NGDfFUozkM/CGLn7jYKD+hdp+72v/rZAii8u eVmNQT6DLwrj/NRTTrRpU33szntoqNDYHMCl3mx36IMrI0YBQ+m+q/SKbHQfvYNOP3KI8q8oiyso FsjdVstF6wto7+aWDitX/BrTKcieDWrCcm04XFvCpYeNzZXk1CrawNARGxjskeIqooi8z+BQj6WY XAXczMiXM2uC4SXTz2GMY5tEpmbM/tSTz+ofsk8WEw1SXtffcI39zpe+aNNnTNN3hKoCGn3fPvBC fVpEggOEPhz3oCWdspmzZ9vpCxba+yvftSVLXlRfgpJIwFIchpIcbE7/YIIFp3QI+eUgMEd2XuNW jsibXH7Zyesx41KpHWAtMbuMgSoGmNjziRr1vkEpt73sjBPHmIV7FkeA85aC3KICeKJeAnIY+djf A3fEcSU13Hhu8fPK0P7gD79mXV1tbkI6QvNMa0nTLNecjxlepEYRPDgsBzRFHLaSSOz0qJxpoPfA tSrHQZ73Q16tCNDow9oXq1au0uT5rLMX6Fm3trbVDmN+jvvBnYymL+5843NsVENywTd0oDigb9+Y dHxYLlm2phB4gEd8uGqV9e/fZ2O7UeBI2MYNmzUNxdkHS/qIXYyTPeleCQk1QjM/gThDUS49mzdt CWKHvVpz+CQ++8xiW/H2Srlrg18jMI0bN8b+x1/9uQLW3XfdL/XXO+64yw4cPCSXSxvSCJSJSVK9 h37sqIjwEuRqUBklMwMJiTk0gCAhx1wAZ2BlSmVLJdzdpo60zlhTS2vQVS9ZsuAbWNrNBm/PZWCx +o5Gjd4ETFh7smwHDx/UdY0Grq/ekzP8feyrEaen+5rwpCURQsZAsILD9eSTi+1f/+WHsqWCAtDa 5nW2a5UzwSxKflg9HpG2w/eT8kFRZUwcuzjEwJnlA9hsD/QLrtE5yjlO8Zo0Nh4uyG/RjVUprbwp 7UDOrCAdBD3HRoXpnU5ID4p9/Ue0mZiwuc5XL3dYSnGwAtMAACAASURBVCaaWo307NNEDWIzmtue haG19YMffN/uv+9B9QEYveObx5TmS7/9edmojx8/wcUK05DKx2nq+Is7fmV/+u3vqCzkZGbqQ2P9 mmuutllz5liiqdVmn3KyMqv773/AvvGNP7Kvf/1r2jQEHIkJCiLhrtgD/T1uPBus0OqickcXdl6C e38jVmfV/2IaGNUsfRDiAYWgNjBUsGLFyecRRFovUfnvkuSnVSZlXVniqEAYQMP0IqG9wJM8dPiw jHhpap9xxunyFQQcSbsBDqIGVAQKZKRDNkfPkN6Vl/ueIcVhjSuh1DXXCEy1YBZwX2Dt3nrzbeH1 0MiHn8mzALLyzop39Z5Tp0xRlsy18msk9QssHU1Hwx7UxE9rzPedV0jwfjEablZ1cYDMcfVae+ml lzX5pPdJlsz6hfyMtM6cOaeopPvDP/wj++pXv6pJJXpoTLwJPkgmI0zINVAlEGh3bN9tGzdt0oAH PuIVV14hmBN/h70Gc2NwYNiOPfZ4O+64qTZr1gwbP+6YoIoxrDVJgKRl8cADD9vPf/ZLS+vBC0Dm ksXDpMyBOkKAoLTzRcDEgWazAy/RsKlW696BEokPTjQ1FG9oPnu/gD6Zi+h5eeTywyiERvxOlHLR Cc8C6j1s+4Jy6Lh2Ap+bStanP376C/tlaFS3uaxJ6Alw43lt2rzV5s2bowmLLK3EmxpwrS9pgGWt pbXdNcFojKu3hgiaY6L4fU7cIS3CAWUM1PDtnV0KWkLzw8MC8d/YZKkSZa2XKQBwkeuJm5AgzmY6 eHCfuOnCnKiJX5KQGi4zbFz04rlnBPDm5k6f4nDtZSZIjlmjv+Vj9/pk0Y1Kc7Zg4ZlyEJYfosiz BaHmKSEa6Jk1NjhC2BKCNNx88/UqGZY8/6K05qMGt0+fKnbM8VOso6nVpk+bptR877699vJLr9j3 v/939s1vfkN+e65B3yCddsnrgNqvTV7dQUkKrR8PXNFhN1hy0QaIbjYx2/JGdZQoqeuAeynlNJ/S kDeqhemq+kbNVH0qx4EgccdgsBunh/Wg5f+Na/Z7q963F198VeuNMhvowquvvCYICYqrBKyDBw6p D5OTdNCImjI40+hQDJg0b2D7xE2mH+J2orPv3yk2oxGnfOihRyWgB+GZCgQ9L9Y7mL1DBw/ru3z0 4QbtQ5x82tscfuRDBpdviW7XURba+730Q1PC23Ftu3fvFfgYy7ZT58wVZAG0ORP3CHHg/6Da7Nm9 24aLJwrUSTa3des2y7yxXAFzJyDowSH18WgJgcljDxEIB4e8bYPGGXtm9smzgh3dHlu8+HkFujFj ofB4dcMzGSoMy6yWljZIAqhWlIlQnBCNTMvCKWwoUvkYZPzGRta0bxZAhf5AokicT+qcmkPPAm2l gZqka/xZufAE6k+1ij18xntQyNio5+WTBjm6SPoi/F0D1NZnRw67W3BLJrjrRJ+zmvRxmPSE/3Pl gZQUPbmBq1atliQxAWHCMeNCQ3PQWlpba/0PIj8bLVqSOSXD30+TQeM7OWUBkF42nxMKWT+HJG5Y mJQDQuPHhjLZn0pYb45D2m1sYlrYpBTfBxueLdRArqTRw4O14UYqnVXGyP2h7mf6RkAQto1Wqpxj nE2AECJBoSOT0SSp5lMX+GJxWCEL8tAIZvIEBIKGKKJ8aEbRmyPYLXn+JXvxhZfsxs993tq6x1pH a4vNnXuaDp6OtjZ7+JHH5G/X3tZpZ84/U5+3d+8eW7PmfVeJ7YIu5M+b6i6XjwYknjUJYhLoNJow BijNxwXm3KsQGzLHaMUAWBspjjBOJduPAoy8L9Ne/kzwDnFeP14KjrAeC/QlNhjB/eqrr7LBwYKs 6jesX29dnR0K8AR/tREE64lZWtTCr5e7Audy4Fcr1tvjYE2pIXBw0T4I6igEHGSe33xjuXBxF114 vjJ9ynjeA+hAR4er8MKcAFrCoUQbhGCeGYbF4PxRHxb5tNAHRSQPzsykzObwgqx8x89/KfGAYybA CnGVB8ksBV08gMobN21wsPLsWV6RBH8HpH5IOjAUYe+AreL+AdvZt2+v1o6oYsoqk8rCITfv2rkr qL3utAsvuMAaG2E5+OFCovL880vshhuu04Q8neaAycvH07XK8kEiOZ5+QAXAVzQ01lDSnEwxw4BZ XuMhBZxW7BnwYhHTKHQkbEz1He/kWCxvPmZzTZoMgqavafIo23CziTCFdsdYFl2xYD19/VZtzFtT 4L6NbELHlF5DgYCxIjrPnHmCrOI5LZcsIWtI24UXnmvd3aNq1JHop1bJEPRSSvnJSHgw3NhcwDsh D+sWVU4R4B+Zvko/3S2RSFgA62XSEMkTtmnDRuvp7XE8i/lkhwkJgbG9fVSN2uRg07wAlr73QpOY qUupIGTyyndXKliBlEdmhSDIRLIAEFOz6BFyTJouRtsxTRsCbMUHJ+pPhWdWBtmuwUde3oek/5QI KLYSJAGR/uqXd4vgS4BvmXKsypTzFi2yqVOn2br1G3VSz559imhBR3oO25Lnl9jSpa/J4w580uRJ x2iz4VkoeRuZb3o5X4eIOBQh9g7dwTmAaUewBxwFz3+zpvwAcayUm/W6ZG/wFCBzD+7e3K903g+i j88bY6Dh75FRkamzUWg0f+nLt+rZwIt7Z8U7tn/fPnEm8WiUq5RgGJEIH3wAR/jzRXE9rrOneEhA 4eZmDko/qGktcHiwDiAEc+9RefjSl7+gZwjOi0ACbaWTUq1SsbVr1irjwAyDzxRNjayyVLJs1aFD mLy4tnooDQOB2bXcoMP0SIefspCpHAcubQyCBmuUe4GMzIcfrrVplISnnWqbNm4S8RqplzfffFPK G4sWnaseM4Yj/F0wWnGiTlDftXu3DIJRUkGLDPWGMd3dShguvvhC27ZtqwQDWJMclO+ufNeuv/7T un+yC6OSkAT3aPE009TfbotFHUwEc2OHmOImQiDCsIAbzAPwMSbgUc8c2NgEHxrs0ctMpzi0grAo aqqgAQBXqaatudkzA15DBW/0a7QdPjvyALUBh/qtB0pOk7up1CAC4SqFb4ESEgwWUGmET/jNb35d wQfd9Mcef1o/d801V3jGF9DyDrgrWW9frz322JO2a+dO6RPxA6TkyNbOmzdPwTDf4AOIRMK/h+v9 +0DCjT2ZfFa08B5/4ik/raQ/NSAd77b2y0X0rlRS1tjQXuORpVL07sh6fIHBDcOcu4FTsVq19RvW Ke2mzMvJRj6l9FycMA0P4KH8mlIrlCtSY6hx6uovbWDBOspSs0R4r6ODgG7W2txm11/3aQWs23/0 IxvXPcrGdbZZg/BdbTZr1ij75Cc/YT/+8U/slVdetnwuraHCj358u77Ds4uXaAGDbp5zymz9O5sc DbYoSY24XqZmje5TKwUnaec7e4KsJ6qDCIYQhh9qMOuAGiHPG408Y481NH+TSeeV/uemf11kkYNX yO2Cl1iAbqk+4LCeNmeOnXzSLIcfCKrg0B8/8lz/K/amovlsKp0bcbgm1QsGyExvWJCQStn27tlt HR1dyuwpowStKWf068zp09SMHxmwq9Wq+kfqdfZiCXckBKKgYFH1Noa3TRwqIhFHlag+weZwYrKN /A/vQ8Ci9IOJwbq/9NJL1PPM57P2xBNP6uBAatvvk5fJBCD2xNlnnaW/567j+5VJ8TOUgfw8AoYI H0Lc16GUdhUYQNPQ1ZYvX24rVryj70ZmiUCAEiJwneUInfJhgpygY3DRZIMAJGfjSs1txU9nMiDv a8n5VZSLIEcTnGcIaNKWDnw9Hhj9FxpwwmVJaM6tsEh1tUB1zAwH/8OMbj74pq7OUYrWvGe8PugE +WTVtperNtHMWhgB13R96mNt8QyD0QTBABDkt779Rzol77vvQQWuqVPZRHN8wek6/Lojjgw807nn nqPJ2TPPLJZjx6xZszQZ42ExVga3BtscvSpkNYAGECBJ1cFCgSJnKvLtP/umMhKyNhYBpxqLdOeu 3drIbFJKAU6eWTNP1Kk+VChIGI/TCacWFkFs3pLxrlz1riYtl112ubW1I8+818GmMiSqgx+PnirW g9fIP4gO2IX+ActAgQgbjBcaX1OmTlWWhAromlWr7IxTT7YJY8Yq4+zrPWyf/ORl9tRTT2rUj0MN pRTp+5e/fKu9vmyZvbNipf3kJz+vfR6nNhkEQZoNAy3jzDPmGtVsJYeBAr6ESKXUYRuSFWJKFiaG USalNjUWyduxR729RyQjLXkbZc9+sHF4ElQcXBk4iyOcZeLpzLP4aN16ZbPI2Th1zRVLYhCo64QF niFleXROikF1BMaMl8q1bN5GdY/zXmSAvzCA2bxxvU067ng18nFNQpKYMvvbf/pH1pxqPvqZVT08 xl6uesvAZRqrCohyrwGMTCsj6mgFy3soODGThFjNhPf551+QAqwb5ga0e6Vira3edhAguFZWes+z IzTlBaHQYIpqKBtcoYuO9C96+Uj5/IlPfELrGLwhv//q0tdsxTsrdf1PPvWMnb/oHMFxnKXxRE0Q QJk0vox8BpdAq4cUIWpZafoCB4rpBulljnLNKQkqkTQ+L0h+IqmS0UXuYz+rb6Df0ez5vIJGa3uH vojkiAE5hoXiN91lIaIlkUqskL7L6ZWJHHSeMrvQSwOAmo2YIlCKNTVaU4obHJuaaT2wWK76zSt4 DZ1O2+yTT5LvGlMWMhWa4T5pYjG7hrzSUGHLon1YUqcAErr43t1zz/32hS/8pojH77zzrjhVX/7t W+3RRx5zIFwYSwOE+/DDD+3cRecIC0bfCvgBmw6tIDby5z77GzrNRdhubVEz8sEHH1bv6KGHH1HP AgUKGpz33LXWsTGFot1zz32iSJCKUxIVCizUdhsY6NEzS2bqm+RjudSvi2K1AABPswQ9K9tQm0Iy MbrzF79UsOK15Lnnbf4ZZ9r8MxeKUc/nj59wjF122aWSvQERfeppp9of/uHXxSG7/oZP2/p16xTI MHzYtHGL/AI3bNgc9J9SsknH0YZS/ROfuNyb8oEITsaUE8+PdemZQtzoWXpBYUIYAchq8A+6RLdT xgIOKPSJpBhSDplc0OyKUzsR3ofBUDVId52yDrsvDXXEI2X65vfREfS0MKLytQODowp23cijfo/F nAimHzEjZJrINezYtsUOHjhgU6Yca1dceYkE75CQ4dfPfe43NaWkTG1uxhzV741gHKGVECsiFzCo KoPiQOB+pQIkidLxwIFDNjgwpCxmx/ad1j22OzznTWpX0IdiwMCEUpSbWSfa2ImTbdO27XbXr+7S uuOejh833qZOnWLvrFwpeZmOjk71PteuXWv3FAq2ffs2MU7OP/98KcX+4hd32ujuUdpfkJ9lXxcq ojPPmGer3ntf6wOZ6EgRdPkbWjzOWZayBHsTGQd6CnxxFgq9AG5+zKZQrvQfDgTXMgYDKCK0Ortf tjzgq5x7pEZoMG/QeyqFdr1nx+t4IzSomwusqX6KlBg87XObdhrTrixJ4BkaHtQ0s1oYslS6z/pp LjY0Wmsu6AuF1J90OzbmIxWIQMFUDP4dpwZlHoTNBBwtMDtBCkcAWonZuQWY6DihHAEhroytg6br OOl+b9q4WcqJKEx+9fd/10Z1jwo23e4yRB9Eag/ZtNJxn4YiidOufgSLg/dpaW0WjQf4AdOTtR98 pMwAcTykaFhInPZPPfW0+kDgYBCVQyYE5YXGhhbJ+/Cs6DO6GMGIput/RyJWwMrKYo1GJxuBLJI+ xYMPouQ6UZ6B4GA2bd5k+/fv1cZGpYP3v+66a9WYBUk/5Xg3MuW7U5bz67HH4a5zgcbZTIi4F9xb shkOAnoXv7rrPlv2xlta0AsXzLeTZ8/SfcmE7Ck2sGOZ09c/qO9MIIlGwNEhmUUv55rgbwe6PLYj vOHuWdHIlkKUhKFnCadVUihHDmv9JRJeAh51z0bQiuIrqpr4AT6yjHNZF59U1pkkvkazKpHlapxO a3DB9P2BBx6yV1953bZu2a5hEQfZ8VOOtQsuWCSaSxSolIquXMldKMCzHqgznhHKRm3nLvvhD/9d 69VxlN7MB8tFYOG9yezJuJDKoV8kjF9rp005YaaVAHRnM3qW3/nuX2qYcukll+iaeS8ODt6HjJk9 T0zg3iO2yH4gGMaSHklo7gXrhWQImtEpoYLgubn2WN3oQwT2AHeR3DdgRr5Uccj1b1yhkklJoAaU HXMVox6bGuMC5/aFhrVSdeAF5ZrERFTv1JQrmHPS7HMpVv/96GEWNdvVrAuoabez9gwvSts44pyG Xp8WXyGdtiP0wlIWkMZYdnlz2W2+HaoRH25UV/RF5VO7qLbq5epQECcLmB+kUPr79WCYMvKdWTz0 NCByYujJGNrVGEYLi8L3o9nICBig4ZlnnmEd+TZBERgD89lkXXwmGRMnJ++NmsOE8c4HI4iNnzBO LHeCBSarh4/02Jju0Qqchw4e0n1gAdFwBxWfb+A9ceTNBHJ2STpd4sCxkUPG+Otesczh0NHEKZGQ mugzTz+rgDl//hmatDpDv0WLOWqM8dzpZ7AoKWXJAli0ZLIEEErozg73LuS7HTx00KkzmayAqnPn zbWPPvrInn32Od3PDes3SQ8dWtGll1xgufxxjuEiCITMl2G1NJx07QllgpihMgObNGlC6DN6+RzX rZr5oefU0wPv86C+M16GlEMMBXhJnjjwPkXYLrjr9kgYRHxJ5QTwZ6mgyW70wnR+qdOAaiUhvaQC gphOMYswDtYd+wnHGX6ye/QoO+/8c9WOgFdHhk1g2b5thzLYvXv2aZhEyRpVSx0N78lAdO7mVwwu Nny0zn75i7vswfsfVqnOhI9/cKKhN6t/Zs/UepOZqdZvixXYm7lGa2TqHVyW2Ec8TzB3Y8Z261o1 eQYKBKRhdFcQxAhBJxi2UD34QeMadmRWDfmsDQz0yfkKlkiNMM/QQkM41wtz8G3YkxysDiaryKyT e0s66SabDjNw9Ldvfv6mCJtBDiOikKWXQ3O86ONqCfcJs+QcJ4ThIndOInoKXn7xfoGeRYnomcN2 PSVOlCaYlZTlpdFD5uQBSQ1uCLUDCevHJxD6QbWkHprjOUJfa9g5ZJStBAs2FNIVEH4JEh6kAjo5 GDkSUHZs32EftbercUiaSkaFoqf/nPdGKGMmTJhgP/3pz+wrX/ltaVELfFgpyd2Xvs+jjz6uhiKb AedcmpI0keMJjIYXXCwWXktzs/4eQZGMg/8Gn0KQ4ER76+2VNufUU4QTosH5+rI3NPome0WdksxK 8AmCtXwXfZgiITsJDzp4UhsmOJKMxA4poJNVD/nkkqkY2Q+nJAGZZ3nB+efaaafNUdDmPUJhLxpM e6dveD5H3zH0Hvy09wY68AsQ4HwW33vi5GP0z7zTT7WJx0ywj9avs3UAJFe+aw89/KjKuPPOP9tO mztPPcMaVSYcZvw7ZOTnnntB0jo4S8897RSV0jpgxKTg5Ob5DwpEC56JUotMj3vBIcB6pHSht7Z6 9RoRvLn34IHQVge4SYsimpPWA5b32GTokUxYa1u7vDDrEjc+/a47SYE1hPrlWUOUl/EemWdc7D2m 2BCrMZTdsmmLSMHItbyw5GX9emDfASUV0fkcuVtlrXn2WEroed6bKe+LL7xid999vz6TiTmULHqT wH3GTRhvU6cdr8O9MORu2AIqFwdt30DBxnflxAlFCBFUu4sxArcJGl1BMyvKjde4U0HJJ/bqnGTt +mBQ3FSVFYd1X2PP1NsAno1SBbkETwx8dXkgkZ8jUtZPAk5lvwhXSKzbW0tHSeqQ/mYxW2FhtWTb Rc2hvHO8RCZwrKCmhGkfUTZw4CLCN3LNyBhcY6sqR1ucZWv61s1t7vO2d69uPDACMdr7e8V92l/t tPFN3uuSfndo/otWFJrKTpFJKVtavPhFZS4sbH0foaKZaqa0gJG5WLd+gz6THtYll1xcgxQwBmYT yCxiVJcC/Dnnnq3TC3oKD7WxMW+zTpqpCQkkTq6ZKSHp+zETJlhrm4MeMR9lwrJh/UahygnQBISp U49XUFq+/ICQ05qojOqSaSyIa3pK69ett7PPWmht+VbL5FyGuCjeZ7Jms4SmUS5osruvIb0Dqb5b NVA1otpplMbl8EEUEKwPawM/wD179qnPeeGF59kpc06yJCoeyCyH1VlzMAvBy9188/VSqerZhnBU WadogdeTpVO+wTo62+2qT15uleplCiT33fOA+oW//NW9tmPnTtGfjp9yvAetcGqLAlYu2bur3rMn n3xGxG0yW5xd5p52ql140bk26dhJOqDWr9tkWzZvtZXvrtJ3QyVTk8SAB+SFxAlmq0ge01dkcnbi jKk2NNhrvX0E51aVoLi9xF3p6HgQ5K6SABfSSxgnTHNAlCpuZOq8QKe5idAeQLLRfkvlbpSrFiYq IRNTTF+5dxwa69dv1JoixY2ST/F9HFTr08jYIyOLZJ0MDR60yZNPsAULzpDSBlmSSuNg8MLPDwz2 6z7ArqAtdKRYtAmwK6q0OHwKH/vCSCFx4MTqKJqf1LwAQvuHg6sUAlOxWBE1zX1GvVnPZ7FGKU8l WKieZFlkdgkcBtBx3SGpamk2DOlcruZZ5mhk4AFkLBH1LodhadI4KVReffSRku6qXBwuWEszcq4+ QSQFJyUvp0tChbtNFiRmF/ajNyQTRyCttVGzl4kEzDLCeXwWLiVZ1AxQY/DTSJQZCMqFgg32D9lQ KWFj8l2i70RmvhDamli69TWuxDQdmcbhsnPffY/a7331Vn336ChCYLjlMzfVxuoe6Bg6UHu32A9+ 8LdO6Rka1CmNhTaUBVLo2D+SnK+cQZrtlt/4jKfCWIjhaD2EQ0pKzVYGCFzXhReeb5dffmnNIYjg f9yxk91iPphTOJPfAY/8O/rmOgBGgCvlfhQR1mC3KGtKBAif1DLV06SM4UWhX5I5msCG8o5NRnbF tBZrMbIMMsvTTz/d/uzP/lw9NAJ0NKP1pmgdMPnxV+wrxoAWn29E5JO5DBVQuHX+aFVYvbL0lL7w xc+pTPjHf/hXu/feh4Us/9znbhGQMUqiRPfxpa8uE2UGmWjAr1z3Qw8/Zq8ufd2mTWdcf1gIcp4R wxamuLj3nDhzhvou6O+D1Abdf++9D+g6kUVBnBAaEuoByBOpmlBfjMGOi1460Ndxi14OunqFJ64c CF7ORNkZt9PzLNit5WkwJ2TsotZEsNfyzC1UHyLcJ0SRefutd6R/hfgj2aSDf/k879s6fKNc+3z6 RIvOP9dee22Z9P/vvPNuHbAcemJE5D3b4/PECgnDLWSFuiqQo82yKRQfAgZOFRiCjOwZhgd+UPn+ ocwnMLk/ou9hh1vIkDaIEpJhApr2nlZKAXD5m2+qNcKgiXiCJDqA65GTVoYG0ggD5dyMBXYl9J/o 54hlDiASCQqXFnblULh8SPe6Q4t6S9KidvE00kNuut5DG8gfjJDyIYrz4NQ808JNW2NDWoGNhptH XieHUidLYz2QK9Wc7GjXxleaCEajmpDMbaXQa/sGW60zi0gZabifONImKgxac1ObJn2/+ZufkXD/ 3/3dP9oTTzxjl1x6vprY4lRx4pd92kNvqFqqWm9fjwIH41gAoaLNSObDM8P2tla77tPX+qmqiakP HKxatiOH91lDI+7ITmLmOuCyuV+c49Z6eg7rvVpa6fFAYOU0oyF6WCUk95KslYfKoEPKi0qh/QQF UCqAYE1bygODNo8WhJftQ8V+8RElD5T1U62lrUk/L0ncwoANB931ZCpnr73+hu3YtdvOPmehTZ06 WT+HZtau3XvciqmFZnjOsvg31vvWoU46KmzVglnUQ1M/szQcsnHPvGOK5py6hLKJSy+/WKXnX/zZ 9wT6ZaNeIZuwCQoEyNzw/vTzWE9z555iX/nKrfIL+OlP7rCnn1os+zEa/1dceandcstNog9B1Wfs R4nHocaBeeTwIfv6N35PfTqyOfBiXZ3tzvoIXoLsAc+S85bLBo3YBK7myH/DHQxs9JE9LioQBkaD Hqw8E6kDYd2WfVDfHyhGNLBVz1VkYld+deC1T1WBG8AeEA819ORoC8i9nYY6A7BgjEpgvuyySyRZ /Jd/8T0dRH/zN/9gZ5+9QJxbsi3JYwfmSmirSR+uKZe1YU3z6+sKwDPBdu36jfb0k0/aQJ/vRYLu ovMW2YL58zVEU1bNFJjA0+AT2GwOf1A/HF0Z1dECBDKy5OOOPdZOOmlW6DfT1nFH+NpwO04Ju8eN d7iCJisVpYMNSefYcfzKVYPoWCy6FyFSpZp00HB0lrombUkXvYv1uqAMQob7jWdzcUO1qQPYVJpF NAuRoEkmdFKxAGLpaDT+ok56Coum1pqCQm8PRNayNTc1WqZUsYN9/dbc1miS+QuKoKSXjQ1N1hJS YN6HicRNN98gDtUP/+dttuT5l0U7QIRt2lTXm0Y5weVu+r3sLSft8KH91h4cbdgwNEWZ7gDeZLyv khIV1tAIZuwg2VdUKIdxuO2RXEy5ClbM5YA9OyXNHrBClj6Cu5e4k8yQkOwyd9UecwS/BPwQHKRH SBqfaAqKpPXSTmJ/UWVefpFcnMs8l6rD4txVB10RVAa6kjButH1799ozTz6j/tXYYyfb2ZddarNm Tbcvffm37JFHHre77rpXpcDFF1/gtvT9fQpcgiKoMVvvYdQxq/WeT62EEajS0ezeboiSLp6XsG7I fqAWXX/jtXbnHXfZj370M1u27C07be4cQSfAc9GQph/JM+LnO7u6VAnAi8TBhjKQBjPZFK7OPCtx WEMfkWtnQsYETL2jMWO1hjmwuFlk0t7bS8sAmIM0TssJRA6c9u9+VJAOfSu1O+T1R68KV6mkytqY lUZvTw41XtJvh20S9gyoeMpNy2ZVsk6axKBnq/CEV1xxmTLPqIWWaPL34F7Kw7OmGtImRVTwgD/6 j5+oZL7//odt48ZNuh6GQ2Sz3AcNJVgqyaQ1uuo+aQAAIABJREFUJc32l6oS0sxF+7Vk0o4MDdtt t/3Izlyw0KajNErwCQOvJUte0DXRX4u+Cuis8QzANjJh59BjyEJZTp+Xn0O1gntGNkwrgvIfo132 iattJOpBkDLPjT5d7zyO3yORjhvuda4LhTUEY0ZHu7PpeFO3d/dOPye/gz0TOHeAowgTF36Nk414 8oquk0lbU9atjNSbCKqdUUM9cgudgQ8EwT3v1BNJZC2fy1imXLUSTjH8kQil/rBYVOiJR2lkaDYX XXS+bf+9L9v7763RqYqf4WtLl6lvMW/eqXbm/Hm+7KJOdhiNI5WSrTpni2CIKw0ZjsoeSRt7Seal XE7N2P4AhiVT45pyASsjqEfCXEYHRdOw0Jwx5DbiUagvSjt7uen6Sq6rVRa1hmvR6aMgcHRj+Cj6 kg415fCu8Gkl27xxs+4DfSpOOrA0EJsvXDjfZs85xcaOarPf+uLnlF0se/1Ne+qpxSofGK1L8FE9 0JIyOuex/dcQinoZ5cYJR/9+PVPz0Xzaxo0dazfc8GllZeDePvhgrUq+ZcuWSz6Xxc5QBILsiTNP qE3pJk5GinecepRkJ/glug9BJFAHPf4gR81mpZJAcig2kmk0E/zK2UAcVlXgAYbpKyBnSlL1tSQO EL+LZ/6iwITqwKWT6mYSJAd6lqHE57qj048/M39elGtpqo1MVlCWK668TIoaP/7RzxR8Fyw4s8Yv zLAnamoWaGnhulRyB/VcTgH+1ls/L8liJIcI9CjPktU1iQgfs054jmkXH9B3CNx03nO4JDDzgX37 bPLECTbrhOkSd6TK6j94QIHs8ssvk4M3kJUtW7bYtGnThGBfuvR1leUMv8hqCV533XW3XX31JxUD IJWvyK+UocVJs0/yTBH/Yq0rB5y7bRvWT+WqDQdtdDYBmYH0gOjsBw0rIp2L2JUCQNNvtJ8MLmSv oFKT/qDv4s03d4T27CAGAG/iFbRx1HwLJYzMHINMRlzHXi97aRpTWP4OQYCUkn9vQRue96LMCHQT Wc7X/PfCr0mXb731S7+l8TlaOwQsxuLr1m20jRs3u9nm8ZN1WnDiUgZbghvok5KadyE0iIprfeGp lwksAR9UIHmTsgOS0hiq1f+aNsFrC8BG7oH8Hys+BUUhwvsiPJeK9wETwW8vBNGo7eQHBxwymqUR OPhrlDlHBATvz/FkTRgyLOQffugxLSrG/RMnTrBzLrzAzjt/kU0Y3SW6DaDbz372FuHEUDJYtux4 WzD/TGULCpg01TUtctb9yA38f/qKYFHpuocL5v1hGDDVovkPbo3PZzOsfn+NejTYSF103CLxGMEe SXKGTAU36C56bkFdlL4TPb1gkhJR2wwpYGQ4INUdoUBU88eUz3WAS12RgbK9WCpaupyT7I/fzfrL WyDeKuHgqaHuMUylOgnv45AAD2yahAXVlCgHrL8bMtBJUGYuu8R27thlt99+hz3z1LPqdeIL6TAK L5+0Fy1fC5h8Ri7ndCV6VwyRtm/faRsf2SzZJXqo7FEy+YiflBkHPakkjkIEPQdVDw+XbaC3Rzzd 5nxOf47oXxU9uMYmW7d+vV0XfBQBn4JcJysE0wckg6/Ns5xwzARVBcjZIGUEBvGDD/brOhYsmK9+ Fpp4DGh8LQVzWA/gjVJ8dDY904qUAIS44zjADw6Wi+ATiPp7ezRNa0RqOOtgy+isLEE1bIZA2Aad dwHkwgJksbAI3VoIof6hIEfiPbHII6THogcfsgpReMLC4cTkvTkZON17eo5YIgHmJ2V9gzlrYJSu k8upBlH+xgOEB9BMMqXxLhOY+fPn2Yr319orS5fZGy+9bM89B/2mzW688VN2yileYkSvRel6BQxZ aFrUBAi9t5W2ROj5ARyVS8wg0A7AdV5+qT9Yo3f4/SFI+THGf/uoWnSKQAqXmYay3vpmjhImBYQX a2O6en7zX6uh10PaqvdW29NPL9ZUDL7XokVT7NQz5tqsM86wyceMt2b0csML/trpZ8xTSSJ60d59 ymKieKNI1GTi4UBy8bxfD1o9aqpY+7048QrqDOG5EbyPP26KHXfcFLvk4kuUBd7x81/Y7bf/XKey /m44lNT/CNpoZJPcVzfvYE1kpFlFtiEYDwdxqaIS2Qn8jpqvet4V8FJkjCODEXZjJZXk+EUK1Kpr Lf/nW8w71RyXo6Cdq4JqrwRclrKtoFjhAgSOqGdDR+NbBiSUntOnT7WbPnOjAtbbK1aqr1gfaAQS dxhs0G7hcBUUqOKZIZ/DNFuYsyomsFtVDvYcPihUfCZiKiUNnbSWbMX6aedUE5ZLZSybTll7s/dU AWiLu+lP2w729skIBQgOnwOanrYQwYjvzwQXvBz3nmEOEB+a7ARVAhoQohMBr06e6P09Du+qP4eR +v5pejzVXIMVBgatPEyjDG86l/odTgYXaE1y3GaHf9zWuqTNpymWFksQ0Y9fuEZzybrPmfSfHZcT mx3oXwdEZ42XqIwMCZEwto5qBmRNcWwrblhw7dCIfBCA65CVKykr5DMqEUWUFIo+HYimLpDvf9/7 cq4IkbZps2ZY18RJNnP6VFEWHnjgEakeTpw82Uahb54FAe1cKf9+caRsmqxRPnKtYHC4TjYv/QdQ 6DTse3uHZOTASlSJS8nsB4dlUlmrZt1wFCkdOc9Ezho4nTAhEaAzKCxoHK5pWcYGB+hFeS/o11Ny jg4UcUexCHBDAUUPifXuu35lg8MDdiSRsuZsWsFKHLIaP85swcL5EpGjD7H2ww+tewwkac+KIkZK Y/6BUo2KUu9BeAYRM5b/HEa9lIprQ7crlL3RNzPdCKH9OKlK2O0/19SPxY4JA5pNE8aPU3blWZ73 9dS6oNEd/ABqki9BSoVhEj+riRxT6XBAxAA6cgIaXb/585a29qN4l7/mbod77vfQG+3RrcbJ6HEy KIQ8xP3h+v7h/7iHApzKu5CBVkYYLQYJDD+ws6O8ig5NrsrgDkLqtYYsS3sq6NjDxph+wlS9D8/f qwZkij4mD21Ja0bOKB1sxtRvzFjDMceo5wRf9vChw3rP/qGCbdq+M2AtER5osjFjx9pJJ822a665 RmuXxOa+++7X94NWBs2nWv2UQLv4aqKQy7Dl4Ycfs1tv/YK1trbX/DlTaT+4hMOK9XlDE43XrCZl e/fu0k0GCEd5yLStmHJNcviBcpMpex0vS2xsjIIgn/hNmqw4sjh+KKNMH82HmKxN6UqLrofkm5LU NOq8a/QanJfFQA+4LCaK7pzj/EFQwvxZRzZpxUrVeoYr1pkJY/Rgesl3IHjxvu7LB2reTzh8/8aO HmVtZ51lv/9//a7933/7D54m04Pq6w1ihjRN05raiKkvKIAbPHr0r+qzCVyyN1O5OmQtLe3BWBQl CQ6CRldnCAMQDTBg0DdyD4dqU1AmUwR73zwJmXDyvZ3n6NlLOuGNYDWS6eeNCAf/rd9MtaqmNIsO NxQEGfssaZ35tOU5XEYEv9hHdHJ3t23dssXWfbRe06Y4ho+mJM7dxCikaAUweDnPGF1C2DF4Kss+ hhyPcBQpj0ZLtZCF1pvyVZ3gQCxY4H29jh1i7SE2yAsmAGuC8b1KJB2i9b9fy46DwUeyUn//CJmo k5uPVjuNgchpIvWf/XWwjpH3bmTgktR22fFMDtQM1xIy1eglyZotV3x4RSCLDf+W1lb7zC032QP3 P6S+K96UM048YYTsU90BSP3O4bp1l9ufuWZ+rDzAh7Hu1LsKWmQxeNXvvwdrpnb5hpx9/Rtfs2ee ftpefWWpf046bSefOicAZRPSuWfIsXHDBvvHf/xnXTuoeNyeN23eYrfd9mOVsmR1DA9Igk455RRN 8h9+6GGZUVx55eWWyXC/vE3lOmlmafVG5MzbpJtEE5g/aevodGDdkcNS2QQM2tjUYl2ju3WqScdK CGJXVKBuHS65aqCSJkXEOA3BQcMF/NhcsRclJDsj2yDORi/EdXTaAiHZFRQjuTluHJ+wETSACGBo 3KT3kKQIGlHlrB1KN1sGyWZ82QJFI/bSHPBaDP2hhA0HqZjiYL/UGZDaQM0RfXQWFtM/Tt8oNUtD My7w6A4ERwo3Gcex1Q1MG8K1HTq43/p6enXNCprg28LoOk6MqO+xI+PaCgVPi70MdtE3l1P2kpu+ HRkkzyQC+tS/yNWNFY4+6esbiPuJ7hBEZKZPAC0r1WHrasxYJoAaw0/Xwh/fEwwT/wwMDNratetq fUghz8m2gwKoZ0M0ucuaplWrxVqLgLVWLA9ZOudlysiXmtQqF+sN5Ih29nLR8XEwDG6++SZ76cVX JGAHvw7slPig6g86GThuuCjwSAbs4MawoQE/j6Ds1L/3x389KgSFPzp6vBADAuszekrWczI/NGV9 hwZWf2+YMpINAgPCtxEfBJ6x923Iehh0cH8jEDuRSFpLS5NMRlinULgQ4AOX5wqjruoQ7eeiFn09 +06IE4q6KKh/erk9PYfUsxMIlF5bOHyPfsXF44cKjXvcqHRIhB8lSZk8dbodP3WKPg+IAgGoVubi WNXUJPcbDGPUO7eKdQRaG5UI92HipIkin1M9IVBZGHIVlbRodBl8dqL+tdMn2MRKvWrEWbIbmpXI IHu2wys612rihKmCph+RR2jSaY++hJBko9mFIA4FLO7zLuQWta3CBdG/8t6Df0ZdmI7poUsrR3WB OEJmGkg5RdaUIHuxkiWrJesZZoqIyH7SwW8MFiB3VyrWi3Y99z/dYE3ZnPUeOmCvvfSyBP5PO+1k 6Ui7THDR+Y2BWErmRAkqgTaRf+vGBfStJFhIv4rppMxmXdYDsCjBqK+nJ0xivGSJ4nqxCczPkvkp OIfmPvfMOZ6U5T5p8mat68jzft4PAfjppUYUlRsZrGqBoVTSZoefduKMGTZ/wemuVSQMzsiNWUd0 y0Qil1OwYDrHcAI1gwyuKdlA84nyBYF8nU6Hnh/BecR0mEOjxL1CjVbPMX6i/y8AMsI6i/2+gAIP FvHdo8fYWWedJVrP1KnHWmdnmwfL4KVntcmSB7pYVsoQdOwYbXy9P8FsRBbn92okx+S/KPlCphZB mgqMVbcSY2MrGAad+AjlcKjMgLJo1n022+TTVQJmxg/l6KXJ+3gPdDBAIjzT5hkwEWVTI9NM8qDA LnXbIG0j84561ljnM1akU0//kawUjieVB1jMkT939H04GppCsgBn1rW0Yu/OeaLNHR1WTqdtqFSq cRYd4lJ326pWG5VdRQds/qyxcWJNdZiBl6+EMM0lKRh2lD17jG6vb2IZIQQHEqYLQqV6449opxQb 4uiRI+Fk9BTWx45Ou3GDT4eaee/AhQFLSG8gpREcTLyp7OWOi67FUbcrQzogtWRlxuVBbiRSeIRp 0UnkDUmdbE2u18PNIUhgCFkZHtKihf9dYjqRTVkKA4mhIesHuhHccrAVa0wn7KPNm+yZp57RxO7i ixaphzVSNI3BAfdGk00+K2wkV2dwHJuCPA3fYFXOtRDgRBrnBCl4H4yA1NjkKqxxazphGX15T/1F eYga+tLqcmVXyU2LsuB9Q32HgGdzTS9KVDdZqJdW9Sa3a42X7L33VmsggAIAJy19S5rJcaoV+041 XlzIEKDR0LSFFL1y5SqbffJMfxbhf7WFHU75+JyiJb0HoYpAicoug+77yMYxOy+y9uMJz3OHG4ec yTvvvCOJX/BSkydPtvHjJqgX6VLEnt270qqKMFeuUMafsGeeedbOP3+R1AlkcIqn4a8J6iPCfQ2x r2ArBHYYCJCVjJhm9/b12+JnFtu5i86WGkcyUFpQAw0zIAUgHUA4i0saxkGbmooHcKk2d8A3gn6J EjLVcGiCFSQTgVwPnvCUk2eLdxjDq5d19UFVfPb0vFa89Y6m4xzuZEmSN1e/N4gohoqLjM17vh70 HVgaTWWB0kRzWfYRz69qlcKg9YCpInvOenanZxommK4m7ARraGK0lmqZaHAXcgaAJ01R8ULmzRqw 9ZFpufCduv5hcxCvo/43mwH6ipqDwyU7cuigdXR1+Z8HHe5oUSSXl0CSVuqv8s/fm71PKSSwXcaz Ag9wNNVwwPFF6+qGZWe2C4/k9AMCAMGLXk8EHSoTDCN0SlpGoblMXidduThsLU1AHcwODzkkARWC wRKj2qpGs63pqmHQAQgV52NG5pBmzzj9VGFGfKG7hlKUxHFjiKALrqSiri2OtjXfgQyMk0uUI/UM PCCzMKzqBqwREhKDXn36541Y/u6QOHOOOaMvZpUB9RXjaRjLuyhaqPutCS0Me98ERyUF9E9E9Ujb /n0HZC9OtsHkFhAqwxHxtQKeKQbsOBnlWWLkgVwMwMPHHnvajj12ou6l9yH5OZ5/dG8e6aYcNfg9 +2KQIxem6BMQglY9w/qYnIuZbdu+XYaby99cblOnTlU7Au4fyHsx/hN+CPQP0Ej3wA/pGewPoGR0 m5YtWyYVDJr3UTaae460M/8O6ZxrgN/mOuND4t7RU4RETZYMiZ6pFyV8z5G+YGeVkOY76qv0+WYC x0D3HT+AoDjCgCa2XDwbDLpr4XAoDgdIkWRucqLCNSmTd3PUMlzQ4PoNDm7rlq3KlPmcq6++Umqh jQ3u2BODPQfpnr371HvduxvD0uftw4+cdnXyyTPVfnHOcCQsh8l6+HXkkDRyFDV9DODsOARj/5eH C1aolGyQvY5UeKj4a8EzZN8kFw4Vqns/OrTD4wGHLtuLeOEeAfts0yaMgPdaWqd3lGYRYRhFBvAl pGikdthgNWlBsdEOHdjn3KgSEhxAFTK1L8OG1KQofBlHBTsdgagZidFZAg5fXvQfLxUcq8KJ5FI1 DhdwXFYsmeQ2GzI5112MPRmg/zkz2Cc1YrcHIyZe5cKA9fYXrZzJW0O+0calE9aYpXfmWQkjVsb1 pJyzZs7QBmRxkHkma6JvZfEJgVP45vVeWtzQnIbCrAVYA9d04MB+yexGyQ0WIa9SJJFqmuXZlDoi YTrK6eoihth8uSqCzDcHvJfotBafxNaoLwQtbXU/+ajSPv7S6TiMwWyXsmk0wlqFTHaRPNDHBC0Z n2ZdLSMCPDmU+F6M1nE7BjH9/JIX7TOf+bQ4hpkgYpdKBbngmBmNDDwj/5XsSyesT1pF/g0Dhphl +X2LdvLVkJ2Updt01VVX2NZt2zQO5/pxtCHza2lusRUrViqD4ppBw+/eucva2ts1XIiKHNu2brUj vb3W3tauFsX2Hdv1PidMn64gtXr1anEXwZ7NOOEEvTdYtU2bNmrz0/SfPv0EsQL4b6Aw772H+N12 W7nyXR3yBEWI8PL4LBRs/z4E6gYdv9bUEr5XOHzEvfP+pCajMntw9HrMcsthL8FvxJMQnNPzz71g P7/9Tt2H6693XTLZxgcmCv2qJUte0obnu0NXIkCffsZcO+vs+VIIiaV2HITFwOTPMWa+IfvSr0Ei SiAQB1HLzyCZtAYyJGhM5bS1Bexj5JXG4Rq9aWwIpDCiIVLdScmzOr92Bl0Eq6eeetYeffhxGxgc svTefXtsiAlaSPnUc8k12MDgEZ1gUnGIxMNMxto6R+mEHJCWNJZA9VJPYnzo8AgMycL3jcxILE4k eH/XF3KQpZrukSipCO/YL6aWQgWDkMfTr7nRuY0C9dUbg7LO4gYQhJpaHK0fDBxZSK1tOWuAMlTq s2yqbE051w+KxExOOhrPSLiCeH5n5XtW5bugXa/JE6qlWWUE3B8CuKgE1YLwPpkR6PaaG0yahnpK QZkpowwshFD3308GaZTomCxPR5UXHrDrQnMJQztOVmDygnSZYH8WBJN6FkNvo5LxhSYMUFh4vtg8 WHGzxCUMjsRednFYpJ2mkkhaf1+PDQMTCcqeubzbaCmIZbIaPVN+nHzKSQKcMvVBTJB77wHUH8pI CEVctTEjjJuQl6g99D36+tS/U28v9Hvqf8ffgkMPtY0dO3ZIsYINi1086xQ12RknTBcn7YknnlAL Y+nSpXrOELgpgdZ+uNaD0/bttnbth7qfixYtsr/8i7+0b//pt/TelE3vvvuuRvBf+crvaA3df//9 rsaBVE+1YifOnGl/8zc/sG9/+5v22KOPaQNee+01Nn3aVP3cnDlzbPLkY3UNGu5wWENsx6Y+TIFd yDI26kMmLr05HwKwR1Ij8HdqBSQykhe6554HbemrrykI8QKacvtP7rDHH33Cpk6bagvPWqB1Bb4O gC1Bd+Rr7rxTFdA72rtqVDqBXJOuI+Y9pwDdCSHL94y3IGKbwf3YGCRg4lvQ+m3LZexgJWmDpYq1 ZuJkmKzMgzHvH4dVxIg853RQUGVi7oHZy3gv4Z+zH912u3249iM/OPfu3qmTtJGoHwiUGvcPOyAR 6EJ07aU8bG5tFVGWwKAFJyt36nBXKy0OV117OUjY8sWkZYVka9ntvB3/BOI7ip2NEPAXf8SVGVks rFtpdGFQKmWH+qQrNmS9tjadajFguZ2V27JzDWQmcSrF+/GZRUTmCMLtbaIKqJxAekQei75Jo1pF A1wtZVYugaMSJo7jA98ymmZkU27zxbV7740eoS+EiOim0UnGKP82mPxlJ44rW1R2k9P9HBr0prtM OwMsikmT1/zumuJ7m/tXvyexGVzP5/0XKXEEqlX8gzjgyOY4RBqt5/Bh4docZxe0zzghQwoPJo0s lBe9JLTp3c6tXqrKViqA/f53dB1eOpnhlA0BjXEJlmiIyqaIAYtSjICO2CHqGzyXVatWqWzu7OwK UsmOSVLwOXJEpePCsxbWVAmGhop2xx132vXXX2fXXvspSbCAyv7nf/oXmzlrpl111SgdXGO6x9jC hQv/F2HvAWX3dZ337pk7fYABMGhEYQMJsIANEIsosVdRLBIl0yqWI0t2IiexXvzsPMfOi+MUx8mL ZWc9OyuO7cgqViPVqEaxN7ETIMEG9t5Bok5vd976fd/e9w69stabZZgCBrjzL+fss8tXgonxQ9sf Uia1deuJcdHFFyiYALQle8N049hjj1UAeOONN/SewCBRRqoKEB6xEQf27dUaaSPZy4IrZ4kdnYKu MMm0aUjjvd009uLYeDy849H4y7/4H3rnKLJeeNEF0vzn3m666Wa9j2++8FJq13fG2nVr45d++WNx wgnHSWoHh5ojNhwmriXCgRxQdkMn27XBh8CxaRnWGqTUoE33w+FrSfUyv6DaoB1AK6I3+3oTBCgS kATFOnN2j7fKW7v4uFLRO0pJKIHJaa+MT+j2zzv/nPiPf/xvo4uaenn/KmVDoKY5Edjc+mxF/ayx aSxPTMTo+GhMT7gPI+qLOH3N6Jw1cbpApLKyV2+lR5t9Ymw85hN0Sr+E6IqvX/mWFR6sRtoytaAM 7DWmy+NZbwA2dwWsKiWLOKvsJPtaNSjjVDVD3CUmelulf63UeWZG0xYCJCYAlEo67WcSQCg4hEG1 7WzQZY/0wKatctGcbqo04popj3kBYxNjCfMgkLgRbKszZF/6jT9DvHB2Jga6B61p3YXyqtP0arzz +Sg2+P7n1MyXYzXzodYIvy3jUv2illpjK0uZil3v7JbaKRgpyOzV1BZYMXFvJrzTg3RwlwYVmfXY uJq98PkA/9HDIvg6gJaUTIbCuoZW6GwH1/d85Qbt6euxgifTZfXSKHJTcVJaTTwDqFCNWLFyZZx3 /rnx1a98TWuM36s3pH5g3auVZVEtqHEz8tjDw4fqXXMfQAL+4A9+P3bv2a2g9OTOnWoN8BzoY4q9 kaoJ4qcOmIrFu2UdarLb26syTATirkYLwsNaoxTk0ERdk4OStYS8uMt9VzV+BJwaxhrlmWa13iyr +MOZGQM20Qw79bRT4qpf/phIxZTk/N0t7ztJcsgELd4Zkzx6VSQakPsJ9pTO+AsgOMne4ZDsm3Hr QYMzQNVkQ8BkpLZiWJL61Gl60WIltLLlBA3jB0kbqbsR48352DM5E0vZs+kC3zI/zul2q6edWL42 hKkNzC6TFH5BYu/iIXJh9BEIIiYYQm1Ai92YIZ3KmdKNjYAhsZKoEM6lGJhyGW1pZC8yiZGlnjaH Llgri8mRUbgnVTgYwx5MdeF/a+PLgttlo6zFeGgL0NOmryykerjUssmrT6lSPSx51tkeyKj+noQE lYozgcuAlJyzmsaVBhRETwVxHmBOcwQ7YOHKxdeDBn6Pr58WRPatSuHTRheWcC42gGp4ZW4OgL2p xlrMAU9G21SN2kT2cmynUPzcmtLqdExNJp/Q/kVAhNdFGXXIwUfF0MoVbnYukIEBakCZwHqQ8SiQ lOwpvvrq6/Hww48qe7nyY1fEsccenaJ8cECdOfijqmSvKeV7G+n/O1S+0N/d0Hy4Pzt+8x7YEIXi 5s/JemD88zNXrlqpjIsvAs7IyKgyJq4VkOmePbvjttvviEWgr1d78nvOOWfrOW3fvl3vi8MRtQdP Xtuyxi3Wb4RMF6ga0NliLI/AIplb9Yt4v1wroMmdO3dq/SJdpBZA3ge9YJOtF7nfu9Dh6H+LPU05 5XxufX0MSVapX8YBS+OfnpXlnTvUdOcgwgSFL4I770OmpsMMaxhsuLRmH4hpoea+oSaVlbPupYVH L2t2Ti2Ohe9Mhi0l6ilogwNMs4NybjZ6mqY06TsgAnI/KrlJiR1B6kgEaGno37NW/ZkkTzWskvnG 4kVarwfwaFy+cmWL2MxzQaK4f3AwujGVAOMjAmYjpmeZQFmTnb+v5nlaCImGkZo9VfJQJroktICd aDkCyFkfyA12cw/d+2mjb7l4NjoZBD+jJFiNpPeNLGxE1s8sXFPZH1UAk0Bc+t5ZfWLaU6xs5nNC chKhTf7qq2/E2PhE4pkMMtTpJqmQmehpEOzsBNQCiUZPNGctUOaN72AvKo8Cc1EnnF0pK8w+jfFc BDUbVxjt7EyspliciFZ69caoyYqTBlOOJD3NiZ7GoixE2521QaBShJialLmEfBIPOzRWrV0bU8Ku lYS18XazMxiKWK8JXS8bATQFVnxy51N7p+L+AAAgAElEQVQC+33ykx+L4WVDCWPxqLvVLyvEuH7+ /z9tqL5Mdi3lEOP4eB4EHuSQhfrv64+x0VGVY2ec8UE5FlGePffcc4LdACJlakgWQjbyxhuvx9Kl y7Twt27dKp197p/GOgDKd959Nw4fWiw3pGM3H6PMTO0HBZpulXsV7DDh6B0blwTK4YcdIhAlwo+s RWAWF114oWzmEcakzdArEjMGDgOGDwButYPxgqriH0SrBebRlZny1d/Xp8B52eWXxE9/cp0MbDHt QHLHFQjCkf3yv+SrIDRorbcNh32E1fsgoIovm7QzH/YW9vPgq5GO4tW6cYlfyYAy6zwTkR5ST6s5 I2XW3q5GTHU2YgDOZTXd8/AsSeS2Q3ziOjPTqqqAwQX3+PhjT8jspWvZCjsQo5jJBwnGsGgwmjPz 7iHhbAyuQmah9KbMKSIAMa2ydAanoOtUb3QHMatlGt1c6a3rVZraXdL9keuvyMlWoixxPFJmNl2J 7LckVjpoUBuoJq2hfHhVihrA156saOTaICBbB0kRnBEzwMVIfSkoHytWSJ8HT7i33tplZUpcW2oK OlPa1diZm5pk4KZ7ElPjczHV9OSPe5EKAxIfGjwgQ2NvuDIMoDRQUO8lJe6MiUYj9u3bq2BhNdHc wCqVjHRW6U022AnCPydLeZ9FzAYOAqyCieTQsmWi71QargxwZjLuvfdePb8N69dIt/zA9Gws7fKE hhPSuk0mfXMg8EA5uFBYffqpZzWRQoqHhYT4XWGcaooktVhBOqARk+kmOmiBG8o/DGBtpU5nh5oU 6T2BCG+qwf485hxr14kidOr7T4mDVq82UFkL+zA1m/mIiy6+sPUcVd5MzyijBZT4hS/8E6l18lwp B8lIKI/27tsrtDVDFdbrCccfr2uhzKPXxaFGFg7gkufLn7MeQW2Ttb7y6sta+5/69CfUWNf6Zt2p 7+aN3xK3TAjPwq+F5AIPv5ztqj+bk/P5CMkj/eEf/WttXqA4TLfR+i+BjIVDDVHbJGvTxtSZApWl ZrYMJG+TgaN6oOJX5vCnMsEiIi/sIc83kXROmSiy67wPPET5n3um52Komyyz7YKD3n/Z6s12prCh esWOHdKYF94xYvNxx0ha5+677tU0VJDyFr8rScV8MGoNbGqmOH3RrxH0QMegx+YiJDY0IaR5zsaV ycPEpF64NNxT71nicnnKG3iHVjxTM4MgKTskm0xfILE4UvmkB9RyKvamZNw8OGgUvANdCNRaygUm Ci8knfo0AF2MwaYQ9lowDQVj0OeSw8nyA1wSX9+95oex6+2345RTtkpIzGNeu14XaLaAbtMzTEr9 DAhK1gq3vRJZgOAgEKSz1OYk27tnt5Qte1bYaYfyu2vWktHKLGjgl8FAASE7nfFRUhcKnkMGylBx LEv5VSX77Kwy5eL6VanIgkJnnlJm9fAyQUzApRGw6MU5Q/MBAidv4RTr9tvvittvv1P3SNNWcBjc jLJBWvLWsouDDpWTU2PJkivYyhjapY4z41KXbHNNe2gzdM7Eu7veiS//ry/H7GwzPvGJq+KSD18c ixabSiaxRSVxZOV+BgQrZ+/TgoigMsCPAGE+MIDxgQnQGnyo39SMxYsGWvQwDmF0yA1RQaOfHo+H CPTA+HwCf1dPV4yMjcV9994fj+x4VPf8mc98KjZt2qgEmnWnbF4Hj++3pQ4rZQWLZLalblq851aB UNO5cuDp6THKXD2oqhLUSumIzmxz8GVsYNqApSaazIbTtYoMil/6fZLAK5v1tNe8wBbTpAX8dLBq g2kNo+GA1uFhzSoHOfq+0RET7BGAqBmYCjvIEvCeygHLAviE+2QhgjtZ5arVK+NnP/t5dAEErdG4 MqIszegjQIBlydHfMqDQjTdbbtk9x04rE8KGlItOyzxCCHU/OKd/EIrHVRb29RlMKZkYyi0kXGgu o+4AbWZ0LJYsHU6TCDf+wK8oKs+lfA29sUQKt0imrTDVNuOUdGy5TWsROuiiY8RpR/BlEZxw4vE6 Oe+44xdx//0PqgF/+umnxGmnnSz8kV2mI6Y12Rtr03aaLjkpPQuLxs/ENIKXITAsaGeJE4JGn46J sbGYXjSkRUQmxqmsvmDq0qs0lPtP4sxg7qv/R8N9Kq3QSNsZBbs3WEMBfl6BDbXoC9+jg2g8RkdH ND1bAUQFcyyV7L3RG2zM9w4s1CZouJeH3RR0nJdfeVWQhoPWrI5D1h0UK1d6SlxBnGcPWBggLW2F Mh0xOrx0yazMWqe/yn2Vjgvlng25ePOtdwR+xEqsbwBpZg4EE76rrJF7N+wGW6S0eqHOEpwBtrIZ 9WHciySjHEWiCKAj9nYdiUwXnee9FvEagFD6Jz6PNfnDH/wwrrn6+8Lycd333Xd/XHnlZXHpZR+y 0xIVw8xcjOy3sgKDEyoTTdUlW+QJtvSzsids5L2DBveD0w+l7cQkZPpFouSACVsqxVFP2pjsdTUJ Ap3q9ZBsEFwXdxPY25NgrREZRLidQdCcmYVh4UFUJ/JGKi8TzJmSNYWeF0wwSztXDJUNmj9L28eq GBG9nRFLsa0fm4y1/V3R32Umy8LeXSlz1Jpzpk0F1vZ0PGnLCfF7/+p3lGV3OaX2BVYzt3wAkQDm w61QMB/9nf0teZnmfG+LK0U0V8O+aAwLQGDqG0lpgUBnfR4pKcpCzHLHNDrpG9QiLdt5Rq4RizVN U1uHjAbYxZSllonS04lfKasxj17bFkM1ueBFSUs+RQTnmiUm6JR7cNFAnP6BU+PP/vxPRLH4+XU3 xDNPP6cm87ZtO+K8886MSy/9UAwuHtJp6QWQmt6ZhXSmeQB3X/5qVZJCA7FG97hKQU6k0dEDGYhY MMBD0PR287bIrtI34jkldIJAIPMI9SIaCibQasQlzPKQwE72WJI9wnHNzMYzzzwbP772unh3fHe8 731bpDG1mAx5cizG5uZjQJMc8yfrVPcghGvuiVNO3hL79+6NG264JZ5//sX4b3/2lwr0n/3sp+Ko o44UFYnMjqxc/pHK2J0p1kKfm/XJ3NHVoZF/sQGqpyjgYDqJV/aFjC9DhwP7D4iVoJN+IZJePREH QAK6BhRZEvr75pHW5y+MXDgAoW1lUKoJw/Od7h2KodcR6pXxnoQDJLDM20qtIzFQfJ9sHH+/q7/z fRlnAMhk46POSuBwpo22O/dnc2Eyew4ftRias9KjLzkeLhM36LvuulsWZkz+JvAOFeJ+WkobJ1x+ iQYLLr/bMXn/vgP6mVQMNZV11tK+d02aZcPHQWt6XeEpS7GBTN/TfldDReauSbmeH031jnS1LoJ6 9uAkFDA1HdOzvH8fHAs10qpt027ge220TZuJR2h4DcRpp50ihkKX6ST28Vs4rkegj81ob0EDPIVj oWGeT4eNPjXraZJJvPMLTEzdaIORXdnQzLRPg5ZG1RwOLhOtoKeLnm3TJUZGDvhnL7W+UdmBTVdQ yCSaIFjuJAtTaTXFM2wr1WUhJmCznTq7rOAali1dEuefd7Z83dauWS2wGkJpOx5+NPbt26/rohxZ PrxMJ4XUEgYGNcEoLp1ch5GlBeaAwmRzJvoaLjVdctA3Y+qGX54Be+rXZWpcQEFZRbVAtbOeYGbp 4EDkSZrctqWZhAyJyw8+j5JbRPaEDCAF/fWvfCMeevjROGHjcfG+rScIltBfeK/puRgcsGYSnoY1 thKKWcF/JtavXxMXXXy+gKLbH3ok7r3n/rj//m1x7nlnx+EbDrNTEdpTqWtWGS3ltLNgl0Bq7jaa 0dEkaEU0MvDYO9Fk6QLZssAZ20MhopR9+61d2ddq69hXTm2CswovZWQAJpkasuBBxyM4yM9stwzM g2PmIapI0pdUhheWrSPiZ9ddJ+VTsEw9lO8irvtQrHdEX+ysM98vPOPf/M1X4vvf+1Fs3/aIek6I RWL4sHQZOEFP6FxGu3QT8FL91w4JQFJW7927P77y5a/Fvfc9EK++8poMalevXqnr5HD7xCc/Hued d5Z6d2JM5KG2fz8OPBykNs/wlyfLzTn7HlZAMJHc5VdxeavcYx+S9dtBe2DBAVJlaiqmqO+c60V7 y7xiOJyCQgH87rRhSA3GFur9V9+zzXnN1D6n4VYy6ZZY6OKhxYhzZvDQqd3mejFRERYoKTYCLgpb MqceVF8PSgtG76JQ2tOFYsC0icmMt2nSy1/MtT/jUZ2syq4cbWWKUCPsVGtojXHn6WXRgxiN7i5G r6S2RszCFTSrnZLICO5KjZ22+kFInC37QEUN4CrUs2qzgbPf4fsncAz29saZZ5wu1YZjNx8lo4s7 7rgnvvu9H8Wxxx2bQvseCAhRnuBS9Y8SjkAgqcEAJ2izYfKwkPE8j2w2auIqxUtrIBFkOmZqdNz2 flSPigxRJWMSrHNSyZf0lSQxU1AKslQjrHGNpkmLmuqGww+NX/rElXH0MUeaMAyavbs3xiZGQ0qC WTpAsVHpJl0xn5xcI0jqw4/YEBuP2qSN9Mgzj4rcjnItC9uGuFO2iUt12RpllyZ/6dS3vggQmpyy VDr0b2cS8e9GdXcsG16md7Rf5iPms5lKYg2tys75X8gIb3/4YbMG4Anu26epHXCEgqgUaV/MiSa9 IQ4Vlz6UcM3mdOKmOoSYp+fHUMb34YY27/Gwww7VXqEk5Nl/7GOXS8IZD8FHH3tcuDWyHWRgjj12 o6arB61ZqwAMbafgNnwuQQdnKbL6Rx55PL75zasVqHB6PvmUrfKrpGfJ9ePsA+8VylFl4yX3Q3+P vlsF9JL2VmZHpsPkkp6jpJcs99SS/9HwDKUIZ3/um1lVuPpvNaFugZHZs1J49Weo9aFDy0MiaXAl WbGa9s6OhaHP99f2U9TvSydPZzSluwO59LAg9lR6bXxQx3uUFFA61OSLgMT0afESYUqUNrJwsDvq G2jpY4sFL9UOojnTK8CPHpuWHArTEk6z7hk3N620wPTGi0gNf/no0SyFiAptoIjEDhS2Vnc/y1o+ bmqqWZ1yzdw02Yr9BX2Pk7ngqhRxz82mjdLOUpPY2CfQzSzWV159QyYML734cmw88gj1D7hoc++M cjfvzxkNL7iCSY2otSiwT2Jyhb15ToJKpM8yNSVOuDBNdnbm3kIFfINmCcpkqi5/6ZNZ0dUmB35W qKhCVoYkfNVVH4lP/8pVSSzlnfBuexR0ZpiA1vQoS6xOJpIWL2mJy/GZQ4uHZLE1EAPSNFrKCL8n sW6Sz7Vqrcq3pFtUicyGofwC16af1QlWz5I49uybU+nbPT/Xmq5KUjuDFEEMVHwBiEuShQ+jXLrl 1tsUQC659BKVEa++8qr0v55+6inzJlO/qQYifA79MfpDIwdGZGrL5/ZnZla92Ld3va0+3orlK1Tq sW6V/a1apYNZ8j4d8/G5z30mXnzpFWWDgFPvuef++NrXvinJIsxzEbfDyYZAtHz5MpXRPH+yeEw2 7rzzrrjn7vu1Xi/58EVxwflnayo7tGSpcWkLbNNYA1VdEOixfm/tlXwmDhLssbaVVw3FBNeZmZKz kmmsVvMQFGlB1lWHSsUGG3W0sXsuvYuClRNeDszu3ujtaBPpC2Ds4PReifFq41QMEruFKaucxM1i 6DLI0w02y/JmtE4CL/0QBxFHbxxoqtleuCiahnKESdxUEWbZtC5XUFf0AqaxTzDg7/CSCHwKdlml yRk2ywLKKsozfraNLfxgKltyHykRzKIWmSZjvzcGBc3o61tkXiGfmRtGoNSeQb0US9bQ22pLPSvF nuuMJtPO7m5tRgB6BCwyFbTgAUwaO0X/CH0vo3YHBm11JvnnbO5WkOba+buUKaTbyMB6AeaC6CCw YtQKip3ywaWehg1JTFVLPacolOxoge3fsztLROASHjTMdE25udtoCEjI5mGydMqpWz3JpMSf9Qlm E42IfVNzMdzXoayrzBoE/NXghQFDvVe/W1tU9WuzC5CIXpHUNeaju9fWTTVOp0cpmWdK5QAu4fep YCPYWaKbS3amJRXsHhJgUK5n2dJlzkoH+mNyfELZ/XzeD+92fGI8rr32R0KvM63jXsHyMBFE/RIw JZg7rgfwJT+CoIXfIYqYcBTfevMtgTFffOml+M//5U8UMGl833TjzfH0U0/HP/nCP9Yaovy66xf3 iO5ywflnxvq1a6SYe/jhh8TGTUdq/eE0jWbXtT/8mcxMf/KTn4v+RYb04Q9fFJ/7tU9r0s0a/+lP b4hrrv6BHIKQMP7IRy+LT3/6Kl2bhxGdOlyYYFYPSW2XHKqALSOba4q729b0sruVZY5brRJlPgg+ ImGe5VceqsZEdcRgB++1jbmq4KThCZ+VPTELLy6Ui/b+RH2CCrwPv9C8/hYROn8pQCW1r6g6ZPXG bnbH/KQds8GXEfy6HHSS16TmtWtKyblIe8mYnzkacEAScH1N3IX6Sci8ikdmBG9BDCpVpItV5RIn qnoDZRggZ5k0XuRUnRiPfXvejQkMMAhuaoobWElcohcCfMIAN6RZqZ9NGNWnZkPVjs/TqVrqDEan c2fXAlwKxGoDNblH/pzpYSlJGitFUBiIww7bEL901cckSfuzn90oYCJW92xUueBAVh0cbFFwrGk0 q4VlPfm2ggP9PizhaWKj0lpSMgruTdQox9K2yTLCZG8zU50qiQtNXYj81mQFMCXlFxobMzOaAuKw O6iDZjZeeflVsfY5zY84coMNUMka5mmsz0ZvZ28MdXfHG2BmejFsaE9xuCcboKYczgL1SPA/jz76 WPz+v/pDlUYE8S1bj5fiBc14TdSUFZljqRM3IQa2bvehVK7gHGxG6Xdpekx2xRf27OMJ1iQQVP8D qSGGMEhPm5/ar3IGgjC0GnBV9YyKYnXqaafKbebGG2/SBv/Mr/6K1sF//a9/LgclQKVXfORyQWho qD/5+E6ZPVx99TVx4YUXxOd//XOxbt0alVIPPLAtXnrpZf1+y/u2aNCh/hSgZwWhWcFiLrv8w3Kn 4TOfe/5FOTiDK/rBD34ijS9UU/fs2a9ARTBDKubKj10ex5+wOVasWKlDp2AHff19rcGEtKVy8q6B xMiIkP+D6UCVHQ9tC/WacgKtA4H3qBjvAYATFwe3MjuVAECyLeoQ6WD6LGmlGs454DRYnwUmzcOH oQrSTkcgz5PZWTtYteVq3JYxBa2N2fQQQKiEWcNkiE9dLlvMnbI2VsrZ4jQiBUSn6kQ7NhcL1WYK bdkPGpdgsoj+agxr2pHpfk7ORPykdqYcTMyXMqKc8tmaumpYN0FF30lqi6Y4LRcdSYXKCYXPJK1F glhTO7HcUcH0eLaCoYJXN4oSDlgt09M85Y3wTUBjysvaNANg53xs3nx0fOzjH4nvXvMDlUKUDX0o sCYuRbijrPE9pPBUqJuRuiTCqtPoDbl4EHoGvDRP5hSy0o+xGqLuWzGlHYsl4RLkH9Iiagpk91+X wWxaB8npuPOOe2TDzjUfd9wxClYFTqR/INIqkyKC2zR2Y6zuKiPaJyHwjxpBcx24Xn/ykx/XYGTn zqcEJgXECE4LOsXm446NSy+9SETbZaD1kYWehwbmw63gLcb4uC/CO4YSJNs2Tajdf6SEZl1BB4KW o2tMiWPZsLFxKEHm/WwA/WL/hWQ1DffWaF6KnTSjoR5ZeoWMifePy/VD2x9WRgRqnj+jZ0UAqJKI 4QolIdkRmfmLL7yozOuYYzbJhouDu5+2hoj/0M5A5VM9pL76XDPWHXxwnHTiCepl/c+/+tu46abb jM+bmZWO1pVXXhqXXHJRHLbhcEs9qxdpyltPehQWCFePoaNT2eLePftiaDHS22YcLPxqHfA6TN0D K3MPTfUEJDWlyj3HnJKq/Otu9UsZkFUsMKEZKe/JmEWaG5ceDcyswz6GHNLMrKon2gzW/Gofg7r+ vI65XM++R093zZgA5uP9abrONMZHKaqvvgJRkwDGA3b/RMYHirjUlUmVwdI9I7JIjP1GpRtklpOA 7OHMTs8Ig0IpRFpXgYmFaRt7BxAjwIFL2Fi1L08QW5mbDyg9IDXnTfvhRfM9NfRF7M/xbXomlkAg TXtrnfukZSEoEL4XXqxACISjsFNVPvJFo/20958SN1x/c+zY8ZgW6TnnnJETSPfMOsQ9dBlEox3n HIYHje42stvYs8WJ0UoCtqSJvagJuOYnMiHxuNi/N5q9AmS7oeo+Du9nJoNflW3337dNAfaZZ56L o4/ZGBdeeI5+hvBjqaVVv8CQ9WBIIEpW53uyLE3vstfA5pAqbXNOmlBXXfXReOP1N+LtXbvi7bfe UdBiIslzop+CqsOyYfsDQPHQOxVnkIloCf25kc27l3DjfDN6+yGHk2U2lM2Cqn/ooYc1udUaSdIt qOnOZkfMquSf0YF6xRWXxwP3P6B1ABaKkviJx5/IcmRO5HbKfP5L4IG2s+YgDqUpBSWyeLSwCGxk tlBuNm/+oPiGd95xpwwV6GG98vJr2kiUj2RJRb+piVfbLNYmrPONZizu7IyBvr446+wPqv+J8iuf T9lHqQrej5ZDveuC6+C32SMjlAosboJLU66rV0J8/QM9yqTaqVW+X03s2I8maytbrj6WcI2e6Jr/ bipdq5dEMkGLpAmejAGTByPm7Fq4U4ejJtKdMTOFy/t0jE7PxXx3T6xcxJ5vHxjuTdGC6GzJHbW1 5Atp77VpZ/lEKAAJGh9j7/e07KY0fZNHnjeXGuVMRbqRau1XwCGwzVNKzHgjs/GZIApn1XQZJXG+ NCAAd0SZw4Ins5Jg4NS0SiOyIEwa26est5omXakfXxvdASt9C3sp4Sx7QpCrCWPReChxeZBTUkYE iY6mlxunNrpo2085o0nKTOKkWg10vQyPTlm8+KgddfSm2PHwI7K7OvGEzWrU6iUQOBZq7XJqtZqW 7emKOX49ynSUAWZ5rV5BcsHUCG5hVBoqNdr0Gp9iZMDKtLIHNZMkVH6NjIzHzqeej+t+hjrnQ5JA vuTDF0q0zYMFN6+hRnm6SlDvjkGMM2fnxAGDFlYuLBxQJaJItkcmxLtj85B5ArDlYAOwiE78g9se jq9+5Ztxx+13x8Hr18fBhxwSQ0uAglAW2mWcZ+Dg5ZE8i3Fqalw4Jzp19LhME2rEylXLFRB4LvhQ FsK6YNiSOU4kPaXYBRddELfcfGvs3b0njVXsmESzG9kXlELhFMqmXv3YTjXPIQ+TYUk8rrsnliyx KzSOLlvft1WHwo6Hd6hUZC3v2bNPRgsawixdKuVOJov8PGc1qdq5gBpV9K7DDj0kPn7VlbFl64ma /K5Zu1rXonXc1VAGyjPS+3+PqkG0+0lqTlujjTVP89yUlxQTyAm4Nn7qlEmzLtUm+DeCEFHtaG+V glFHzAC16GjKVFUsi25aF6mFhW1wwkEEkUgtu3l5LU4Jv98F17inNxZrH7chT3bOno99o/vFBBle Rh83JZaVwCzobwns3GwZ4UrTHZcRT9fAT0GwxAbLWQON8lqo0oQSGNGwAGp464k7WLU1mCw3YyIu TPjRltIg0yzGpYInzM5a7rglCNYRc3CO0parNflLTalS9+TmPJJuO+AU56p6V5ZQpsSYbE3M1LjP 8W2VEWV0WbV7lRYSFpNrdJZf2QOh8c7UCSLmm2/tit279wobUvQmrrPoRGIDADZM1G8B9IpyI8pE osztrm3SsUbOFYxzFM1zdzA2d3IhpaVE3+j/kR2+8ebbsePhnXHrrXfGY48/KRv3yy67KM4663T1 3AwOnpFoGp8tpDwM+97+GOzsiHdnIa++VzGUwCpg4xw4OMq2qWzcM8EzRID/LR2p1askAwLo9o47 oPLcFavXIHHSnyBHZ7Iqt5t+BtwDz5zykk0riziVyRmM5udlRybb+SVLWhl8XWEtcEpcFgxa5b/0 Sx9Tf4kyEsv7s846M1577VWj5ft6Y+vWk5TVPPP0M8oOjjr6aJV/42MbhN+i5Kf/xKACx2UIzkAM KDdRFX1i55Oxe8+eOPaYo2Q7tmTI8IKFGXA2/VqZsEt47r0zBrosO75kaLGCk4ZEST6Wb2I1t3Mq TLYz36LH+N3zXkYnxkQj27sHxgpQnqlYv359LF+xPJhvaWqrktIBinKXspjMkx40phxHHX2U7Ltq ytFJ8EhFosK3Af0YGzugMpoBBsGDfhrlPxxND+WQNe9Qptnf24+NhDGbOkzT25BrHh8RLxRS+hln nKFy0r1YKiVjr2SqnADXmqarneDNXv2QbJAv1HGmfk351H5x7hDVGldQ6u7nRHDviwhZbCiXd3Ot KZdMWOfdgCUISkwvHXnbdmBgXyynASK3NEWrGcdLHKBJzSaZb0u7EAA51UhrR/bvSyxSlhzU0AMD MTHpaRJ3TvlK0xvPPPW6cgQMypjytRDX1XjktCtALffFIiUwkC0U8Zu/JxT6JEJ7KRstUqkzQfS/ aBWWjrs0xyRK6AUoDz81VV1O+H4sq8sCBvfmgMVCzfJVE8/SEaLMm4m3334nbr7pjvjGN76nzwHg +fnP/4o06pcMLXF2JYdvB1OVnbNgwzgguiUDxMfzLExwSXX1hFyoX5GqDDx39TLSXt1f/u/AQEf8 1he/EK+8+lo88AASLtNCqF922SXR6LYMkbLmGdYIIor2muQZis4Dji+zgDpQ+Az1UBcZTmO3pVZb sHUo0OgnQ+/tQ2Xh6FZw40A4cuOGnDZzCM/FylUrYulS26R5GDMvwvvSpcd4AJVfWFMVngzMFWXx t791tfwZ33/aybFm3Trj6KZno9lIuEFeu6/TG5DxvOWnyXIsO6N9NUB/z22NCnYcmKzphfSY0P22 dc/4PgH35z+/IXY+8URs3Hik1DQuvvjCeP/7T02d+87o6eprUbO++90fqgT9x7/xeZXxv/d7fxB/ +qX/R8BYHe4JxenptsaZStvojN1798Tdd98Tt992p9Qx6N0BiGWIsXHjpgSM98YcMCbKwbkpKes2 eY8J0EY6uau7I8bGrcUPEPi0UxAvhpYAACAASURBVE+N6Wk37sni8Imcmp5oTes7WKMEvGzzqAnE CSOcTzbm5LhMk6uFTK0UjbLM/Y7F2qyobqZxhHA/1agj20G3yj2ggvUrI8uSqBxoGkkqrhGnpw5t CywHC/P0+LdOPYE5oEpg/XFevk7kzAR5uSxC1BuXLluuyC+AWspZsGklGTMNjDdUo1OSjI6N6CGh 3U7Z4AyirLutxogCIv+bUpBfhXTWBK/HqpvK5th8g2BiumNmqviERvQTBNU7SAgDJTOlKNfUko9O vS3mEtJoysBRhrIEC25IlKpUb9zx8GNx2213K9P55Kc+LswVagw6RPJkblFTcsAyMwVgFr+7YTXW l3c3Y2IuYnQ2Yqg7VVI1mEBuxs3Y7h5zHN1PMcO+5LVV1g4MxlFHbYzTTj1ZuCbQ8PS2cIz+/G98 xuYmCUQGeNyccN9xCeoSDU8TOycnWq5NXOsweKU5oATQtSpMZe8rjRmM6k/TjqmJ1jClDjdZzbG2 jSHRzyJz3Ld/tzax8IHpyGSJ6Sy9cuTOWn7ssUfit3/7d2Uk+3//4e/FJZdeEGvXQR3qQbDK+KOJ iZiYtcmrhgOoi1SDOYHFPb0ezHhN97SSgCJI4+vUShreYwUXHkqxF2fAAU6JoXHGB0+XKemtt94u R6Nt2x6SySr6XMjLbNv+sH4+mvQHRkw14jP5u0xAL7nkQ/psvCr53plnnhEHHXSQAOA8WyaYP/nx z+KP/9O/F2WPdQifkQn09dffIE0ytiwZI/LTSAEdsWlTnHDKadHTnI7bbr5VAGbaKmThfFEKs7bv vPMX6gmSqdKTFESnzFR6eKaGDkm1pBXBs+lZS6G0jDrT5ZkLhPsm3BSKDAW8bOnreFzt098loZ2O bfellyOxQE8AtHlQORU9Je2y1Pwr3IjR7nLjCHsZDrQQyn121EkMB1kSJYVwUItMmVmoHcX4ms1p HSImmpahnZo0TWJ6dlqlq/iTS5fF4CB8wbbSYSEmyDlwK6GJ/fbbu+LV114XAdgn+6wa1TYSbafT uh9JSXtMK0/D6Ygp0XFMODX2xZmmvQdtUiEaT6M7M7q0U8tA5/LWWQjZ47NPPx/btz+qe/jYxy+P z/36r8YifOE6TKcSZCAnoOofJYKegNHVYLP48/o6ZmNyLmJ6bj6mO5vkcK1Dq0rxoldUc5S+lvqD yTtTo3pgUfz6b3w2Lrzw3Lj9jrvixhtvjWu+8/1YNNgf5553ZiwbJuMzpASsazVc1YYgs+DXLAod E+LGwZ3j/lesGG5t4kJxG5DKJBP3JUM+KitEypcAQNamgyCDXA2H+PkogE5PjcdkthhKeVVKswpU /rvqv0iZxEa6d991Xxxz9FGxcuXKaAx5+kl2h5JrHfBNYD/l1J1+B8pF1X+yAmxNxltNaUkE2/W8 koAKmHxxH2+/9bZkoSkv0Qp78cWX1Ju85577FLjYH08+9ZSwaLAEHnxwu6Ssl69YEUdu3BhXfeIq lZEoIHz4kkvitddf1x7DWIPgwfChwJtUFWRU9OmAWfAz5+a6FaQw/CBI/tZv/TP1X6/+zjVyVVq/ bp2C+kuvvRVPPLQtLr74oli5apUywG3btisY8iz/7itfVWm+HtPVOfY5sk/QcdirFo5Ek02ep1Ja oZk1b4yViQ0+OVsbtvzYqgRDbH7KpwYblMmc8U+pB73A/LM4iDaNpHxMblNq9bTMVenNiLmSchU5 haRBWE1K4yV5Yc56lKmQ7vZbQll9J4CralTSc3EazmblV9lWWffb6gqdnd6wBBHJY3R1t1QhWxIa 2Qynl8Jn1Aj7iSd2qqGNe4nF5ixRU8TdQiCLS5WigkbqO9M6sH9fLFmyTIGc6/ZzNr5GvSVRorp0 OCjjnSFFLkloI5TrvgCiXn/9LfHQQ4/GIYcerAkUI3IUIVoqqwkW7MvDJrdsS25ZhiL9i2JsfF/0 dczH9HwzRmfnY5kkS5y5cODw5ZG0D7q2PrkHKWSq/DnSNIcddpjG9wjZsfm+9vVvxTe+cU0cfMja OOH4za3MGoa/KFr0LbLElcAja2N6Xujvd9/dI7zToYcd0upxVjFYGVbr36XyrfqmHW5zEMwM5mDy VYBj3kunJrasYQ5kiS4ydR7okCqEEQ1kuF47qFz89v/5xfjq331dE0uyic2bj5E92PRUNrhTqtvy Q1PR2XRlIcS2skB7AALGBUBcwGBBdtL/UR4KHCwZoPzgO5WFsamLxcAvqoENGzZIZ159zDfe1KOh 30fZzT5BTaXkaRg8gJNTW6O3R4fuvgP748EHt8X9990vbXtUWetQkGy1skLvrWKMqPeUYov0+1Cy tfvUtMjfr7zyWuzeuy+e2rkzDj74YHFwH3/8CSmG0KK4/fY7pGm25aQTZB+n0k90PhtxqK8tVRJz iTUlLNJuNb+NjfIJsBATpM2bKOR9e/doYcjPLNGrrd6VwIIEwHmhxGVJlWTeKotg6gv5neCwmbkp a0mnuoI5jGnYkD+3MDmlXGibIU8p9C6l+c3YtzMF+syRamPFvGjNxXM/oOACfGmE3T/Ywn05rrYl cguxvWLlsEoAUu5t2x6Oxx9/Mo45elOqLnjz1Cam6cTJUHwqqTaoBzevYMLPBKlOb6Z4gZW9WB0A VHMfILSW36MGAHIztmIrTfDHH98Z27fv0J9v2XJ8bDzSvRqCpaer1ppigQpakkRj20oZ4sCEbnBw qXsXs1MxzcRnvhFzKBOknG1JfshXLthcaXHeZX0jDpRRlbgjFrwbtHcfk1XeL5ZNf//3346f/fRG bXAAuJLXhVUgA0337KokdpA1Up/3yUbT4CB7mlXiq++S2bT7RQ5SJug7+2prqy3QnC+zVx0a/Tq4 OATUyyXDyQDdJleFmu4fvfJyNfSv+c73RLvBlp0mdok6Wn7FiidudVhdw6oH3V4XMnph2IK6RE90 DOBYNNIyMxlc5P1S+6+wS51JS8M4RYdzBwF3UE32k046UWuGEo+fC2WqbthSNjUQMNWqvsd6gET9 9rHHqK/EUOHRRx7VnzFUg81Aj4/y3v2+FJ2ELkXro69P7xPAMkMoYCzwHMk8X3/tdQWsJcPLY+36 tWrUj42O613Rr/Rk3p8THW0tPa6p3q2y0y5+/n5zCa0/49OOU7JMQ0v+gQWvmy0nmHJmVvSzeJrQ 8RmsjOswXsrqCMnEV/bkk95yFD4hOubcm2nOMS2hdDMgs7wJrXuepYgOGm+QAsgtxCnVwnfW4P6X TuFSSZRaqXmNGhyguqAHRAC2wYCanYkzK4aDmuBybB4QWpxTidPkO9/6bnzqU1fFQWtWqewr6IIC I5gXSpEyVJUcsse8BBrKUECSJZqo3p1E1VzqWjo5zQgWONKoVE5S97PPPBs/++n1UkkFa7V1y/Gy YXfGgrSOs5GebmApA+lO3YiZ5rTKL+61V2JzBFCE6wYjJiOm5iZl5Do2a8XIKkUMHA01R8leCvbB M6RRTE8OfSlKn3mYDxxanR2x6ahN8dnPfTq2P/Rw3HrLL2L9wesUfNhoTJzeozulDToTzZ48THAR 7jRPUHQclVVpAqIpmNHlYhW0Job+avV+hJLJAJZS0AoCLYVNstkBrR0+3zjBti8gNBRreIUmYxd/ 6IJ47JHHJBfNYfHBMz7YAqmWbExhqGRUPGnLOZ5TSXXz/ZIgx04NoLHVfz2U4LnYDdr7qSMJ6HAc eY/FoQQmBNKdRjZod09CPYHHu5GAhjsQgdyZ4HS8/PLLWo9AIggq9D2Rgl63bl08/vjjgm5I9bPZ FJeWRjtrH9dtSsPqHcJ/rLWxft16wTzI3uBgEtgQ33v8iZ2xas1BGk5sOPywGB0di2effVaDAZ4D 0tYcRieferKeIdNwDkUPKRzUSyq6q2Rj9CDzv23TRIPTJBSXmQoPaHjFSiPKWwRLkx3lO5h8IGdC bfle44wcDEpKQ41gZVI+NYxqxrXHbi6V8papRJHE+f8ysMhTdWZiwoEysxQ1WMtQYo4ey1T0IeqW HoD8G5qc9Fn80p19lGNMe6En1ic5kSw6yodTTz0l3tn1blz7w5/Gj3/8c3nZnXPOmSrDGN0ftGaN WPTdSRYu5xgJ65HBCTtl/Aqbo/Tq3XA3gdgKEAQwT+fsxAOlxkFUZNy334mrv/ND4a3IaI484jBd Q018+TdEH2gYLpf7BPUgqxud3K8+EYuKU3S2ySTv3Rhaggrqolja2Yj9QA2m52Nx90JHnixRsrwv BdRCkQOKRTa5ejNg3rgPqDb0U37tc78S//0v/ybuuO2uWHPQqjjv/LMcaGSGC9zEDdeashU1hC/K HUCdGhJp7O2ppw6CzIx9iPkwKo2s6rVp0so75f+qJ0SZlCyPuv6JiVEHLrE+yBzthi46Cxiy7q74 wOmnxcc+/tH4X//rK/Hcs8/Hs88+HyeddLxBlmSNylyr/zRncCvSMPRRezqjkdWErdtndf+WiaFP 5r1njwTvEZ7L1BQJwWwctPYgYdL6+5Hw9tCHwxPDVDwbkbKBKoVm2bbtD4kILp20vj5BGOgH3n33 vcKXoUmP8asm+ilQwADivHPPVhnLn7E3YC6Q/f3oRz8VZo2gs2njRv18Gvs8WxrqkMw5RHHBphWA vvyFF5wfO7ZtiyceeSSWkoEtW6Zylf9e8uEPxTe/+W2pW8DlXCRBz3znmeCo8giv4S6aukRLtMHF GytpEowJJPzmcSjlGgtpSTdOOuYNlbC9pCgmrfZY4LPqRxXTXaJ5lCA0k3O8bw2txFx1Ol1mgcCx m0F4DxlkXn7DoDn6Uj1ZArrMKYMJyMZGcLNxLVzme2CBcx0grgnOnBoa74vZ7omoypI0hlDvA3SD mtsuq1r0lJQkOeKIw+KL/8c/i9NOOy3+6W9+MX76k+v1iy9G5/DGLr/8Ei0GlYJYTy3IHrimmelZ yb+WTDSlCMHQ5UNbGhexOBYTXoEqa3usmbXziSfjb/76KxKMgyP4a7/2y3HBBefIE0/N66lJ02Fy ANLbm7SJOfweTb6W+Jqayzy7qejo7YiJiZFYNLhU/SzIpv1kqtEV3Z1eQCVDCjiRQ6WvN8uwxGmx qA5asy4aDTJXB6v6Qhb6H33203HzTbeLl7l92w5J+CxeNKh3ZxUGgnNbuZVs4K/+x5dj5xNPxdYt J6iPlYojPpySq8j6JGuV/rkOSNPN3I8sU1k30/VsgVFIZtsHgB3Je6J7mcGbIyP7Ynx0NJYOr8hN Y1hMMSJYH9B5rv/5jWokQ+vBH7Akjbjvkv5Vqdvo1vWpkknVAuPNemJGfozIJoX6eS1Zawlbck/u Z/J1YP9IDA72m8Pb0ZDkDMBV038svqhr6GwIWwbqv3CEclJaoEXFLzTTS53XP9OieVYcpSxn/c8p Mzvr7LP0q8xhBYBO6RmXwU1xbiUBlUKUZaw8MT0dc5CtyRC7jL2rnu3v/O5vZ0+6koNk0Qik6qlp tUe6SmZWJOGM8Mb1TAux7lIN6QorIIx1jchnUDiZ7AnxsNkAZA1kaLK6n59TcNCDynR/VgBFTrFF 7xlL26TAD9WYFJqVTgVVTjWs8siXYRfucxllOyvErLE6UwquhRjuCJ8qNPiKTMmDJfWeTJ13eyui wcQY1ZMklWyJC6qSksDtrK4RHcnxQyrk//2L/yoFh5GRMTWHWbzQYVjAv/sv/0Wcesr74o0335Kg HH2Ag1av1KlJ3X7HnfcKg3Lkkag/HJVuOfM5KVzQX+nrV1+IHgfibC+88JJGzLfcfLt6BZ/7tU/E aae9L5avWJm2bC4rZbqR8sqUpirtO5DQ3S8oBf0lsQB0zkhARovvueefFfDztdcxBu0RyRnKCJlY i4U414wDIyNx3XU/jzM++AFNelDvpGGKISjP67lnn4vJySlNhOhfgPninq765St16pMhvvTiK7F5 81EtCRnWCiqVbzz9XLz88msCKr74/Etx5lkfiHPPO0vYnxpcCNU/OqIpn3qXGk5Yk90mvPMy9eRc bUsAOWsXDmqWzVQTYme46jN1d7XWmQ1SDLNh8OFsi/UxoTbAuvVrRBnCxQaO4amnbnHNnLI6bti7 b8b1VVChgSya1qLF0Q34eq4RndM5Zc7WQqnPdvZ2KlBNTk7F+kPWq0SemByPfXvfUUtBApC6bkDg 7INxixyK/wvHdE4ln12UUk5cYMw0L07GhTJSpKKlDkyQ7IjOeUudwzwoKp4pPAkUTfqccZRpFEMJ q7YbAalX/3Zy/EDMIBXV0xdTAwNyiFbWOs/zJEAaGjUtgUJXOiQspQPfGhh1pbJlmwhsIKkcP0CK tyaE1p1iQU1PYTFtXzWMTzW9YrKVJE0DCR0ZmziuyH+wIXPS8uJzT8lBRyUFjsK9xlrJAzFtlgyd aNsTeQLnf8OGBBTKDXEic9pygomIDQev28TeFt9PAnsgtdHWHmwZtpaMjkoocE2pCulS0TggudWk 5ViVit1dpMGbdOoT9/cfGIkdOx7VqYt1+l/9j7+N76+6VpgUtNBplG7ZcoLEAbEbh5NIag/GiA2/ Zs3q2LDhiDjzzPdHVwNd9D2SxWXDMiJevGSxFh4NX2RzEeD75CeviNNOPznWrl2rkkq2Z9m4JuuV VIz0x5xtcA+Ms/0svTGk265F0iH1gJtvvllBB5NOoB8vPPeC+HzF6SwtpqJPzGS54szDekkEfzS4 aLRv3DihEhnButnObmmSE7Cf37M37r77/lgyNKTpJrie++7bFo899mS8+ebbmn7y9/h5l116SZxy 8sma4tr7kQOUBZ3N7KwUIPKj8wVNpTTRTZ6dDVYU79nkfQ9HWLv0xWqdz+UEVBNowT8ATRPA7Bw1 N5uilp2z4lx+9KOXxd69++LRRx6P2267I7ZsOa7VBiFjMAAYFHtOnAW7MCiZvcJhyzsliHHYk+lx LUBVwOuVDLGkveeYHtpEg+DK2iVbx6SVYDW8bFiQCE9zDasAna7p7USv6FFicBRNTeVff8vIZKF8 safc7zXAcEmdPoQNq53w+97OvhZMxkKA2eeeAoZkEYHm/KyMmmMG6g4VHUGrS0YVLZ5sTmSZgtvD 0KT3CrzqffMHpMLm8aSk7bwzDE2ZJLPi/kQRL80LKhNQoPfe2LNZBpaCIQ9RmIr01Gvno540mfnN S0maRfYbJqfGF7gQ++ESQOc6C6Zf/S8P5wk+SkuTLsLnu5SDXJlBpuARaWpZ7HmrYBa40BpOLTt6 0N+JWq4vS0Y7KzU/skuNxt4+g0QPP+Jw/Rk9BTYszUtwLWzqt55+VngZeh533nmPAhR0EBqiT+58 WouRwIMhKJkU74BTFS0rNjDfJ+OBs7fr7XfUXMd5GfIuwb4Q4SIz6zl4kYnvmVlWTa1wy+GLPooO Ir4316Hsi1E9E6JDD10voiyl6ltv7op33t3loYzG7r1x/HHHi+qxevXzMjYlq8FlefeevXHeeee0 FBx4IWvWuhH71FOm7BAYeZa33363IAtM3wCFPv7Ek7Fv736VIENLcSduxPkXnBtnnPlBBXyArtZF 647ZaXNUPTwFb9XGirHZOXimyDBhWiTUpiAH5rVl9s/+TtqL4SkwIgZava2WaYXUc7F8M4uBzzhp 60lx8mM74/HHdkpqhyY0759sGi6qgKrKEsgiAKqWDx8lcyPmAIzOWRKIjJdgQ3Oczd0560ENAptI 5XQrk3Fftkxj5qcsUU7/GHlmshANJFReGf6DQOCksqzBaEqqyVWE9npL3NsCf1Xyu+/n9SFTjsRk NTqNqdReFQzTzXHtIbB8knxy24IgXLgzTc+LRQPucQqAb18MwAHVM/FArZAJZVBStK+SrhGsobrZ 4E9m0ziC8q8etugDvKCOjjgwciCGClMkt1Y3Ov0ALfPLDfJ5wmmU12BG0ir9eJgl8s/nFv+Qm5ZW eTaD9cByCjgfNNX9cEqJQUx26ZLPRgNFhiwN6RfYZHWxe3TvsUrqdXpeWBJlJD6FK7AqS5AUSgE2 XRa2NHykzuge3UI9bHhs55x3lsw59+3dqwkLDVA2Avyzhx96VM7JTFIuu+xiNSWRz3300cfl+/fE zqekkClH7nSYQfVgxYpl6YTjDAZ6CNiaV15+PU7cssVjYA0e3Atgs8l+TFg4l/pWKfV/heKnv8Xu S2oWDXKCLtgpshsMEIaGlsRRRx0bu3a9rUC7651dkljhOWw+drOMLcieMDBli6BygHMM0yEh9PO5 qB81PS3NKeR/mbStXLFBYMfHH38q7rnnQVvQrxgWlejoozcKaIh43wfO+ECsWbPKlnAzM5rmFce0 sFeeupEpdiecpqnBimV2zAQQ9gkNtHxfHioh/22NKcM8rNTqLKUAm+rSZ2/MyrZVtsGrAxtGlv3i Cy/FTTfeGkdutF4amlwGnHqwpTInzVZyI+gAImwYK5fra74Zk/BwR0bF1oB5wV7o4pAlU6QflMRw m/rOxPSs8YQYgCgwJ/YP1gniBaWpXlxHBZ1ybV/gZVjuz9UK0d6YdyuldLRs2mugsa3tTTeqKa33 PH3FLH2zMusVDKpDQo/Tk+MxSm+RQ6BiCNmw4XGqDGxSnO5X9DiN5Ux4QDaWJcrFQigHjwQ7Vulm qQw3Ul3jY39UbsPt7AYli56OXskrSyMLriHJWEnl5iSkBPSM4XKD34J6VpFsWy1ZboIyR5suRfgU +tJHT1leBjS+psYRy7PRRRsLlS68veCRuMc2crt04QubUij0lsqizDB7YnY2xdPm+XtVc/PspjXu P2LD4fE7v/PPNWoGq1a68We988F44omnVNJBpD722E2asNiINpRp/PX//LJQxkxiKPk4NNasWakN PLx8pRbJO+/uiRtvuCX+/uvfjgcefCTOPvcssd5r0FEpvQJzYrusUOl7EuNA1BNrH3Ht9CBptiOh wtDg4R2PxE033axrOfnkU0VSXbZsWH1J6BxMoyrTBIAG5oZNeuyxx6o/xdicjIjgsnnzsbFx00Yp dJZyx0knHRcXXHCuyiFE7Z5/9nkZJ/DnTDuRoOa51GDA9IzJ1iRZ5WATt6PFev6Wqp6LZb3WDaO3 IzmcSWAC/rueJCbRXvLKYAX9/rs7bdpRBHb5KkhUUWlGTrMNiylBQGVj8/PSyd+y5US1Af7sz/4y zj33zPjIRz8sIUPu3/Z5Dnbqy4rUX9pzXTE7Zc1+STzDvJiaUqmIkqnWqaRgqpy0NpWuI5vn4rTm UItn5BLK0+iZBhm3lVIKa2kN9pq8J1sgPRfc3uFafJ8WjEyAd66VGkR1Lcjqu+cNPdL+pieVUBcO GSubmvpk2tpMdMxOR18MxFizS7GCNYTOfC/UHJX2BkgrS5QogSl7XWwIfWj2MyQ70d2jkxe5mS7q zALaAZxcscqKCq0UD96T7FUjOsqSvezT0+054QXGb1lwX2jvkf2xatXqtMAyFYXSptFATiVR4xCk U7OHJh6Lqq/hfpNIxkkHMt/LmRFZKIENPaqO8dFWKaT+Fk3KlhKl71cnqVLkkMeiJV/di+voKRcP nwIy2VC/BOkN4AeoLUwt0CFqxPTsjDIOaVB3ubHLl5vP66SfzfNgMshG4ydACaIM+qN/9/stnXey 3D27d8W+vbulBrB6zTqBGY/cFPKo++EPfxK33vqLOP30k3VSr1gOH9CCi+UZV65BGoBoWtgnRQ41 NDN74HudU1MxtHhY6wBH5BNPOlHfA5T6G5//grKts886SwhoQJLf+973U2okm7ept5/sH0+XF5Ti DgSdkgWGOPzii68oSzz/glPl/Tg6MpIHF7SjkgwClNol/E8tQjbLJLyynt5Yt/6QFnyBprRK0qEh TS99iPVEZ78PWgKANk6CQYs7a21yzUFbGanKzBzwCNGfz5K90jHjzKWwifydIzdtjPMvOi/uvuc+ DWC+/e3vxdDQoHpz0FRsoWXajjL8NJ5VJTIPXGM8ndJ7lRW+/dZbeh7Lhn2A8LO5tx5N5NImjD2a hxE9W34B/kXxAuVfDkoFQShoKTggeph6TD6gNZnrtO8ovWBDO3rN9mgNFB1oTR9LTKCcqx20bbjC tbg5Lns7sr+OTu01rhHqEDzReUGLLGODJlhfV2cs67F3xDgYu9n5GGt2x5SkqZqxpieiP1sa3t9z 0cXGlitLD0qJ5ZzbG5NhxjRRtXwKudm+PoTpxgSyRPWThz6dhgqVPVV9XT2o4mGxbUvbnQe4fPkq ARUdmV361RcnJBcKdQZ/Qm6qcCpqUOrhOxgaHuGHVdw/Xg7pOuPk4ZVWjTTuxWNTif8ZhZq9nJmY grQ66f4ZL43TTiNeIdQNAPSEKiv/lra8e2qVqRVxeXBRj3oTqHn6VLelk6R1emn+psJAotIFOGSs D/5lalJUkZH9APM6YtnyldHdiwzyvIL38ccfG//2j/4gvvCPvxjXXntdHL7hUAnJ1f0xiRX1Jrc6 4USQitERYX7K3ac0vEW/mJmLZ559TtPOFeDJDlotCtLpH3h/gle7VPYwFUPBVHpFCSAs3X2a9Gxw vgfS+rnnX1DfDmljNjCZGEGFTcrmku4T/dF8n0BYnPV6KCB36SZWU336ewPzxa5I5HdqAIN/IghR Qi4aWhKd89Yw62i0TTzKzNXT0/Tek4JAd6o8NLRmeL+8zyrzs72lYFF9UXKQspFj3Z1yysnxpS/9 5/jSl/4ibrv1tvjOd34oIjpDmbPP/mB86JILY36e55ykaOSD9+3XoObAvj1x8CEHx9ASk6GFim+g emHXIZX1PW6tMOQi8HYggoccflYO80zE1UBnH2HUOypFW7JPxP1Eztf03JmceXvsfR+25URUjBGp 51KflVJE1jNVbdWk1nLNSJ2TKLi/qz2oBMm6bexdStl5qYK4d+iWi41dG6ImdUZDeMqJGOhsxN4c AqKsoffRjOjtJ8PKE1A1ZArVwbXrGyR6GrErpU9+JR6FCDoxOWaRum6TPpudTY1bZbsUKGWW9ngh xp1tEYjme3x6Cp2cKHlzxW5MCgAAIABJREFU3tpOMkJ2p4uPxPjScafGnLNdmUYXJYO+m0xWXTqw ITsaXTG0FGVJl2ULEfrgeyrQ0AlkRMu0xRfgNLul1sArK7mXVpDMIUICJitga4ElibZ6Xi2KRdqQ 0SAlS/NhMa2X7wGHBfv4GTJGTUzP0uHlMTiENXmnvQbnI5YvXyGgHl+Lh4aEPTMtyYoabppmzyYP AX6WiODSlHdwlxVWmoIQJGD4s0Xf3b1bZgz02v7ZP/9NlXL79h3QhjrxhBPVq0MVFMS3nGU6Okyd WbI4TjjxOJV6a9asjaElS4S+hqxLwOLA47kw/aPprgFAZrw8jzbmzetjsGewrZHFhpV6hd+h/Qg6 WpSaOmyrr+hMz9SkGunTMysDE2VgiTXkeQgD1CTwGqwowm1yXsvZqA7VWos1SiLYv/PO7ti+/SFd A8+HCe9992+TbdeevfvleblyxXLL9GRjGSed/YNWV9U9zRtY3W5cAwXi/mmttA+G/g6UPCN6JKVE E9xYP9odZGe4DomB0E3J7H1WVVTtsZq80WdqZdyprT/bMaupvvtungCThOg5JBZNsIuO2iMGX3PI l+uSYkZzTn1QyRmp/wZ6nqGNJZSk99+gd+re29QEjupzEYv6BKtqT53T6d3d/qQnZL/A1BmCT2FH mDGmC/Ac5eBMjO47oIe3dNmwLbvKDBMKndLof4ixcu9LFmDFt+KXNqc99co0ujXmzMjO5/c1kS8e 99RSdmIWuTPpOqd2zTk9fPoxnDrognPaSmteGulpSSTirk9RHvwsCGIyuEw/lbaWkUZ6M46Nj+oa yy26Fq2DriU4eC7qsynIO0DJhzBH5hZKtKuNUPlkKATgLpec2JpxABRdijSfTG/Z8AoFODfUU8is y1QYXaOyN2hVWIRxHw0tDBFu81ny5zTp5bydp6xR3G42qxyZHFM5AfUIxD5lJ47YBC0gLhglQPHh GaBZNNA/EGefc7YE8azUgPR0t3SZZAc3BAyjXxm5ddRRUsUBpU98NSAPyPUUFq6cXfw5LpHq9Nez pOXQVY1wP2uOR3TQ+N+Lh5bqeSHF3FobiTEjIAkITblHUJLQY7o4CQ/YNjBhalfQlalJSOGD2Z5I 7TjWTmZp/Bymmw8/tCO+/Z1rRHO56pc/GqeddrKygnvvfSDuuP0X8b3vXqtJ8IknHie+Jz1MeLaD iFh2LFN5XP6YVCGoNXhabxBohzTiOxfY5ZUZqnmdDdgISf+S+CaTQyoF4a+sTlI9avfizMJQ5UMA pa8kVYlOHajqHaYqrA9JT1dbPZjMOg27cOncmvQnBcoByftQqrhZqc3M0YwfjwbyUiiqJsPD6iON GJk4EHPdgzHT6FOmqTZVDkm6VGYlDkoLJnFYriMMOyiNIY/8naWMC8TYpd5LUVpU48tFGi13T9xk RplqpIXRaLaMKZB07dSpL1qPQJNujIo/lA0RLar5eZVXTsMdRMwF6wioRzU6rUyt0defrjRmlFeD EgBqgwCR5VgLczUfGgmrDJgx078CFotIEyfpPfma9IDFdk956DnrTzsDpOnoz69TmVspWWA3jY1g LryaglAGLAXcRncsGvLJOjC4uDVlJYUW95HhR3eXAJ273nk3br3lztj11tuxfv1qbQYOgdIIq0xL RGya7glj0bPLjFAo85mJaI4SUAZj5arhllqFHEs6aKwPR28Puv4OlJOTo6ICqReTuQZl9+KhQZ+o TSZ6uGNDDGf4gZLDXJx59gcECAVv9ehjO+Occ8+Mri7DT7g3Zfmc5NlDEiE4nZJrLRXUhN4UZS7B jWkaSPFWlptgSDmv5JBHwb0ULXMTlxgeG6OyDL+7YlS0VUR5prxP/CnppaFHBS3n1ltuV2Bat3ZN XHTR+bL2oixnWgok4fkXXlTwQuETzh+oeDTcGbqgZFr7RFVGc9YQhKbt4ugxi5rVjaw2G9zgVrIv +qfN6cloTNOfM+i6NYRMTGSBRSs7c/AxBKiAyTxHPVdp/luaWPsze6AedPF8zE6pId1CU5QSI9AB PdN2efe+5xDKYNqAIA/bIzXxqLbkpN7GkM2PH4gDzCZ6e6K/kWUxa7+kkdWMyxPJgm9tyQ7Lovjl TqmESQ/DVHOsaC8yMxFxDgwMPSHLn1gm2GFDgYuckqYhsizpIQjynAUDpoqHKfOLlBmWM04nDWMW NSdk9Ylmo6eBsHROMcQ5svKCzVp7VErrAaSjtWVHDEuQ5Fazje5n03It/HwHkHY2WEqgkiVJVoBk jtOAUtQK/WyuxdLB6pn1eBIq9dH8fFE1RIz2ZJM/d9qeRhlSb/RE0riyRATnSN3ZYQiH9Zl/9Kn4 yY+uix9d+/PY9sD2uPTSC7RpSv9qYTbLgqb5S/rNqVljfdJyHhD3OzVDOZ0oaYwpevpZHDq46HfM TSROqReg7nRLRXMhD45A1VRPbKbt+K2sx6Xnr3zmE/HiCy8LqX/jjbfFmWd9sAUINZSDPp1ZDl5X zgh4DoUTVBXQaOgQI6gsRo5F3EkPR+TknVxHH2amD6m0ysVfPdbKgBtkdIj6NVLRFiUF2Vq1PffI hMCXfe+aHwq6smf3Humj7dq1S1PSU07eKsQ7a4Us6X3vO0m/f3jHo/K15NcNN9wmGAd/H6YCOD6Y CvyXbM867kgOpS1cZsGRgwg0/tUzlbxTaE82J8YtDAgbASA1HgwDyDA7AGgqz+eQKCCRPTsjTqmS hL5eEaqZxBWgmOSDLK1koUrau8o6B7KMG10Jb8pn6Wttthgu/P2uLjMGap3zfCcnOcB8ILlq6pG3 qUx+R0djVH06i3OiPNpF072meQQVly88l7TSSq5fNZFN1nVfhd4Q2VUpR7aibGKyalIkzabBxSY3 t9jLRP4OXVxlGpq6pPQuvSegCPMTbn7Tn+GBMfmgLKppi7XFqzTMCM9UqTEo+pB1h9w0rHTU/Q2f lsX0p2HbQ1MT+L8E/1OHPXsGPFQQwZx60uiWX6AlbBrgxBr4CY626vjCZfFfnZQpPc09cpIpY2vO q/c0uHhRDC4aalOEZmflqmx1hgVa1R3WSLK9t6dWCLj989/6TbHe//tf/FXce+/9sfPJ5+LSyy5S z6mcu4WSltbXYv1iQS2WqP9UDkh6FVgItnPN/almQVMUoCrvCGaAmQ0qNSZHtfgWLVoWI2Pvtkbm pZSpAcKkp4S8ZyHFE5zKz8OmHQeiJ598RiqkKAoABRG3LwUe+apJMNdR6hTFsSuLKckWLxqKRUND LVYEQbmjw0BgwSFmjCms/pNB56n+JnFJ4wSLMC59MtvDpJqsez+sTeAaV3/ne/Hf/vwv9VlAwoaH 18aHPnR+fPazn1YAEhRAxgpuAaD1RP/qAsQMb/uF/v199z6osrjEAP/Fv/iCJqiU38rEgQ8IE4YJ CYDQAcvplH9gViAqzyc7jFFDjQFGSW+/7gGzltoY1VMlk9TBMzcrSIgJ2jZDnp63mzYlc+ugy8PB +L2OaCI2INqeP5p3Wj0+2jESXkxBQrlJJwyqlFSkHNLbG4vmF0k6fCE7Zo5qjqRl0ZD6mQMzYzE1 0Rl7OxbHYvpnmGKoZOLGE7Uupw1GlBigavyeqG/GlZk2y5p+gDQWxQYa395A7kOQ/rnUURQlYKUS QmVrFdA81fNi716AQ+kQSpnUlRcxrr6HtL4hQMqeiya5lSnZXDwcMjKbG9DA69HLsJ19WrZzOgO+ 0HSE4DUT42OWO+azhQvGMabPTdvWIKCY41LDNG5Gpw6SwZ1G806NjqRigDPJemEShmMgMNuWZp4c H2/ZJxHMFKxaTXtPWCvjq0DsQFuW4NVea6P20S6H18h0b9eud+O551+OozYeHtMz82K/20jDi5LF c/0NNynIIWeLkuS7776s/he4ITKqRYuWJCWpU5ix//gf/lP88X/6d6IQ4StVJYYCYaNPU2JV0FLF JkgvNgYo+3nOnIyNqmwcZ+Ph4aXqb9ESgNcpeeyU+imrtdKm8qYxL7A3emO6Yz7mRlw6MZTgMGtN gCVnVFbqtBfAmY1nGeiTnDEW3FaI4HLZZmKa1C47P8HHBN7gtgjPB6ekq7/z3fj+934Yq1evjC98 4ddi1erVCkjIpqDmWaYc5YnpDLztg3n22WfGaaedIsVani3KCf/5T/5UNC38CglY5ctJ4OD+qnRr UK6R4YjG4+dYDkTTPehW0b+j7zapiWBvTt8FoG65eVuCmM+A1kPbpEClPA/j2Ww63D3Y7Z7xrFsW VT67RzbZUksRT7N7QD/f6iNem6Wkq8Og1f2yAkw3E99Fi2Ns5ED0MPhRsuTBmsxpaAnwLKcn9K9G 5wZiBEiRbeY9sjQ/z5sQGdTpaWpeN6MBhVJP84smZMm9KGAsoHgUjIFeQudMlzIPbtqu0MafFOxA GVDSfDyxKGHhpEYLqe5+jSZ8WZrJRWYON1zL2bDpRaUAsSzBLza70862cL9/sTApI8CeSK4l3WnU NNap6BpcgWjSJ7jH7Q3huoqiJCR+x0DMjcNFJJAbG1OlshYYfEYIs9kvMTC2fQ9O2V2GtIUQi168 QDswIRS+GZe1TmiNkWEydM55Z8ZTTz8Tt916Z/zNX389Lr/sgjj9A6fmNJDgOaSfNz3TjOt+dn0c ddSmWL16dUy+tUslzdjomAJfnzSx/FyYpJLFQLWhqU+fYa6DA8xlNc+K8lKwlJSZ8anrjIS+FJrc NNutHz8VXYOL1HcB7Y6kCAhxslqydYYqowcOtOSsCzDcz2ZHOWDOeDY56cR89PIMFy2ynnqWPPgT zsmGCrOweXssiivbjLffel0HbAGCta5UmrjsmpUW2UxO6JpykF40OKj7xknnpptuiRtvuFlUq8/8 yi/HmWeeriBF34USUIOFKdu9tUC1KX1cfpoSNuyBhdCroIfkzte+9s14/vmX4qabb9OAa/OxRxn4 i8BdTjVt4d6tQUdpnhPUtDYSf1gcW3E+07y4zJD17xuhwUX//EBKhCOPbUfsyqiMGaRvbLNZ7k0A 2tRVq7U90zBvUMmDhAHacCZVJSQwOmS6NIU2U6XtK8B1UWEQ4NQ+koSSy0/e0eBiZKuBNI3G/Mx0 DGLui25IKXYWglaYCRafeEhu0BEveTi8XABsLP46AY2Q9QsqOWDX/AQl16wEFk5ehPcrPZySEYGz BrtOuzTl8zyxs2ca3xPRlh7ELDK8CbKTxyH4penopjQkAyNT6cmJHIat2L/oNnVOCvqvvFptEbI6 plDmTAnFjmtvYstg/StIcmKHTxfkRkThIWuby5c8D/HajX1P37x4SiGVzVfBsqY6giosIytYrM2w kL5S78KYoYpY7hfwb82Z88TK5wMTsB5J5AIneGj7DpUa/BOeO5zEGmsrEMvx+G0LzEnldSZGx8YE PQAXtGPHXS0+2LKlyzQtrP4lKqtvvvGmmr00lM8994L47jVXyzfQ0s2hRjJTwuuuu16BFOgCnEnU KFhDBCu4gi88/5JOaNyoD16/Ttkom5lnPjrrKaocfuabMdCxKLWrUic/OyZiEaQjTuGBSvWWTLmn kRPapktzSWlr3J9a8onFMpXFx8GoMjHrlpm46+AL9xGnZ/7W5VdcImzVqtUrhUe0jn+N3qcNqUnR SDJLQX/yUKqBAJNQ6ElUKR/60IUSYbznngcEb0Au6IjFQ3k0eTAiG7AwbIHPBoJTk7X5eT8r3gEH SPXpyJZoWpMtlf6XMiQA1LRs5KBE6Vb0XrdAzC11ll/PydQ2B0Vr5JXWG1QbYwulqZf9Q+P2/PxN EyoaUPsAFmxl0WLJhROcJidTDkhimou0N0mQZkEQzPRHt8jPWacqaif5V2lc01M+cdQy6+JnVZPY ZMRcPEKGe0qoTVVln6y6fVpbUzs96chiyqsvuYB8hnpKOa6uCZxoDUms5PqY1i1ewobpi+Zcb4xN e0Sqkz5LFUo7USBSWkQ0o0J/I+CHAGA3vS8ypSSDJt5DfKhk67fkAjXOdjOx4Bby88tSrbSt5YiS L1yYFHBGMNiV3tLwdA+F02NoaOmCLKItjufMKpVO84hWWj/DYvOEdH4Bq17amUz50CYSFKVDUIJD DlmbSgqUOZ4KVnlGEHnqyaf1fSRkoNKwAOmBQaxeuXKVFEzfeP3NOPmUk3Xv0HEgZZMxAleAsH3X XXfFj3/yk7j0sg+r0f/yK68KWHr4hsP0/anJN+PFl16WkzG4pGXLhmLkwD71UIrZL/ehocGkmPTH 4qElKf1sjNZCw1tlGskjlSBd/2AeTjTY0zRF69WZbGHN1KPt6RG1af++fTkxBRRsoT+uo6+P4QZT cA4h802dXbmfCYn9zTfeEvL87LM+KCeaojyVUUSrRJoqqevMMjh4oY3lBNk+AQ5yvb0dceWVV0j/ /Bd33hU7djwehx9+qDJpmvKWErdcULPpwRQJBc+vr68mcG7l1LABJoPR+G5D9PW5f1yWfoJ5ZN+x YEEmaDv7L0foUvioGFEDEJeGBqyKN1hBqiasxRTI4V0RqtXTSmhIUd2kUpsCnGVYo0k2yUd5jmb2 DL+wy+6qNeYlDU13kamkLiQlQVbUEcIEafKwAOVd3Dtx1zLaQk9RlgUeZ8myLB9tN88NkMYrq0vb KqWzOdnRA9KDd3+Nf0fa3gJi5sjZN+NeiV12FkjiJkVEn50pqTaKJFcNgvOJhIZQstI5adPkVRir PEFsY2XBNWVPCcLkAQOy1ffR2Zo2fqe4loVeFzhVcAaTuoeHUfU01621GRfI+tb/thxxQkDm4Cm2 hQDbDVHrddNkl+j/7j2xefOmWD68NLE9pVPUHtdz7ags8PXOu7sVpGD633TTbXHZ5R+WRx2kZviC Ijo3m9L63v3ubgFLKWNeeumVeOyxR5U1nXjiCXHqqSfHT396XVz/8xv0c5GLmZ6aiT1796pPheks JdCevbu0fiB0o1r5+mtvKBOwl2R3UkNc9tj8wpm2Jbh9QOida8rZ3mDutqeql0rI5KxqKm9c2/IV q/RQAVaOj47HODZxM8ZidXYOaAOjmEDmK40pZf4+GJ5/7gX1nTZuPELTPP4UOkv1ajwdTRnpPOSL 3lXT38J2Fe/VGUxnbH3fFgFwyYxff+01TU4pEcFroReP9BDZ3tzsTLZYwO+VjLencULfi43habKE OFUh2D9SE7sFSqalu6a+6rQrK+6pXKbbMk7tTL/Wkkna9MYa6n27FDYIuuWxkIosfG5JEZXHpd9h kqmzFypQaO4jGdtk68j7NyElIOMrAFCyFf7FiGu7/co7b2pKTUsudv3Bh7rmVb3r8bepNe5dsCno RZj7ZEXCwtDoa9bcs0IY0/jjpimzihul8gV6BxlMBsCa8Lhf4qBiHzc3Nt3Az0a0Xp4bnyW3SsCj l6JsECIpU65kj4Ol4V7qROJ7lDwVzMr+28oOvu7iB6K+yqIEk1NiZpoIFmI4uZPGuHREf8+AUesL XKfbWVXJgmTwmk8Answ/Pe1z78VqF7UI+Cw0t0Ciow6BdTybW5w7jeVzUiijDBDpS+Kiiy+ILVtO UuC5//4HJDzIO8a2iWyC50cWwWjepSRGrUjM7I433nxTg4pjjzkm7r33vuw3smEB2I7Hzp1PqTn9 2c/+qvpiIwfA+OSghr6MlAZcHiigN+cVcAk0dQB2lcGChgamVUHTKjMH9ULm3ns4ubdneIrpTgZZ VmDj/a1YvirmZsmMrOyAeFyd+kaWm+86P9/7niERUAaa3iefvEU9LHCDIMBnaBKnU7aynLR00/RL m9D35Aa5Sy33aXJqPu/s/aKLLxIx/sfX/iSefOpZmZt87Wvfjl//jV+NSy+9WMKFvalZJiUV1gpl vaqDEInbmD7+myT4wj4W+T2n+QrwGfm9TpP0DWSCtogm3QnjUGXlQ0HNcx38Pqx59CVQUCTqlrhi chX594OoTfTaNb6FhZNBi3XLCLLVa1MWyvWkjr2TmbbnAY7lmXZaAWHhJKDR6FO5JY+8nLgMSMYX qWMjtdULyZ4AujaQfg10M5CvZE/V7B6xCSZ1q9N+f/ZcoZnTdKKwHRVoVRp2dVmsbMy2SAW0q5LN gNV25mXsmF/O2MRIjlznsqRFqcHloEvYGUX1asirIS4irA1IKefocoMYdilZ9lYuZ1kcNOSlElCE WgXGzqBHXcYb4sINLn6P3MjCr1pYnIom3mLBZecbmrR2EXI1WA3POs245uHlVirYseOJOO64TbFy xTKLwWVpWDgonZZ5utUz5HCBM0jme85550hvG3WF0QMjuhY0vQlk69avldYVi+zdd/dmFmEGgzat JsMTccjBh0imBlsnsEpb33eS3V6GhyWf8847e/Re8aOrU39qzNQcDk6gHW5Sp0lHAx4qTVgmso1Y AWm+a4HphHWOfHCC25vG3WmfxPXI+KAKHXb4Ico0hpcvjaXLzGfc++6uzNZyWqx1NL9gc7XfTx2w rBGrGhgKUyj9mqSXtEtpufXMo+iReKhsTQAOda/X2fLwsiXxb/7N78UXfvPzQsuT0f75l/4yrv7O D+JH114XW7aeEBdddJ6kdyjJ25w8Dw9mOtG5b3Nl59JkWEFZFnXVJ60M3c+Nd8U1l0qvSd8MhVxu T48ccM+qxz1bpI5pQ6ikzx4Vz0gSPS0rwDwo8hAjW+3rS/i2+r4qhZQlGmrBoeV/S7mrgygXthgG JEIpKd3FzbmxlqjeBZtHGURvb+zPScrQkhxDj420cPnOiBoxO9+2lKLByWkmXa25aSGLJ8ZHs9eC 5ImzJsTipD2e0hM83EqpnYpWtG7zn0iNSYuZCtKwJAhA9SjxQTHrmSKJQGpWufiPrRLDEIs6od3P IgU2ENHqkO5t1GeKHc9JOjSwgGBthQL+LkRT4Ap6wHKUnhaJuhRQC5JAsKvanADZuQCXVl8+2boW iO8jsGgxOjFKe9xHZNMqy0q0PrroZ511upj+t95yR/zt334rLr7obCk5kKUwPeXv8W+Rj4H3xwID ZQ0GavWqlZKAIdPa+cROBWSCCZipCy+CL3hwXPGRyzSKv+fue/XvNm3aFOedf64dgju74tBDD4uL Lr4wTjn1ZDXwybQQKDz6GJuN6v46GgqGZG9gkO69d5vQ+pdceqEyjaJo8Z5Y2DTJmTgLNJpE/O7u nMgmVIU1COyASSfvf3gF7AtccIxbqzVFuXz3XfdqbR19zKZYu2a1GtKzswwnbMDLVBPCvICjtCC6 5mNm0py+OmQIfsbucYCBuTIkx3QnbLzmo9lwX7ia4eLQZnBt9Yok4eKKQpUBhg7Lh2No0aI4/LBD 44gjNsQPvv/juOnGW4Tb2rN7r3pwqJy6RHOGSdbGwSnVlXRXKvcq1C7YsyLDZ/LQMm0NA5RHRTlL BYnk2paiSVU15XBeKqwtrKIMNgzoVWWRWSr7uspOHYypYszfN0kePB/0sR5VNzNI4JD4qU3THT2y wyszZIxwLUDZRZahiVZulkqxUYspLeXqB3AT1WQkaNAs4/sKUOhhy9Ipm3FsXGy/pmeiL6zx7aZf 23iCBciJycXDKFf6n1woHHvd1MuueRJiGevqWrNxWLAMA1uzpya8FT8P2o75WJXy8vBbDivFRE/7 Q9fo2eQmwMmfkcXg0pZ/X6qVgilokjUpRL8HFkm6ZeNNtPsbNm+lJDPKt2zEmPRZX6lNbahJiln6 s+pdWUu8Gd254Ht02lhRVMF/jhNtLtatXR3nnI2x61Tceed9cd3Pb4vJyel4//u3xsZNiBxOxUBP X1x88fmaUAHOhYx85MYjVHINLBqIzb3HxOioicSUjpzmV1xxmcT0aJDzeyaKLEQ0uy688Dw5ABNg jtiwQX+2fHi5rM5RY2DNLFq8yDLAaa/G/aEZtXfPvnjs0SfiW9/+foxNTMR5552hQFiuyO5VeXzP s5BjzuysgKIe9kBdGVMvjM3LNQFwVedBQxdOfiaDU/HEo4/HN79xjfp8fKFXdcH5ZyfJfDoe3PZA 7N69T5sCbz2eD/d17rlnxf4DSDVP6LOQedYhnx6PIuBnAGDtKjhKm2ouZkT+bYo2UzCHgqxYkjmn k9nXrRLWP2dA/n5T07Mtg9IXXngprr/+VoFTjzvuWJX4pRhhrJ1LQunCscamm3JfHxesaLBlDtOC x4jkj2pImtbWUIC9mzxXAT+zD0ww6eqmlCPJIaumNWQIkJRu1d/KUlFg0jQ5ETaRAQRsAzfoOQAK USB58xzYqZTW87Umnvpzor8ZkN1VDeJaIGr0zpGyegNzwpX4mWVhTcoVMBCcTjYeuWE+Sw8gjEKn ftXpkc1hc+BCG5CFQXMVrScRIQUr6IlGv6eJPnkcvPR+SS5SeE4kYKXTBprN5Y3ysBVYWlCNkqxJ XmD2FCz0Z3xUmbvSkNdUqiAEKVezYHhn948JGsRG5Np9eSxdrpP8vWAqpRF0upVQhpY1mXW+3fMq p+NSTs2aNktjezYSOMkWTZnyeJmALnIsQD9MQND+6piNDUesi0v7zovlq4bjJ9feGPc/8FActHZ5 HHz42hjH2iuasWTpYExP4Qptt2warbOd8zFyYK9UMpcuXewWQfY/DkEqGTfVjp5YtXp5LF2Kyw0N 3ckYHgYt7Q23ZMlSTdtoyK5dtzqmppYugGq0TQv4s61bT9R/oRc9+OCO+NY3vhuHHLw2jj/huOhL q3cPPPwuOdgo8axeMBh9ZA1QVJRl2DYNAUCCbk2qJEHc0SFw5re/9b340bU/U3+PCehPf3x9vPry qznEmY8djzwulVWCI5uR4Lx8xbBgHDAKdu/eLcQ/ZqIy8Mh2QA1+dI+tRnINONpqvjUttmIH9LQ8 jLXpWNNMcJMupXaFmQFrDjooBgcGNcRYsmSJgtZPf3pjrFq5QgGzu3s2ZoRtykFMpy+GYumtt96W Tj5gVBIC03TykvKXaGHpuVBlHNkyiYZ7Uumok/+wGBxlmFL4yAKMCh6kXpsloC1x7KFIa1CkpKEn 5gSfwH2pKxoyugFOyiM1AAAgAElEQVT3ZziGJvsYdHDQp1M5h1aX7LNrvFnUh8RrKHWbAFzWFd2L TIEpMinlIb/bu3e3m8tKmZtyeKX0qZS6JheFVPbDbArFCm/Qk4pJlVF2pvECbGcchlbw76mrOdlq AMCm9/fRTTIGrAJWpd5Fi9GDS5suDRTk7GE9H9OCzIksOeRis9sbzUYCBG873eJS0iXGvu2f3PMj WBcimL/DxKkkZfyMsxzIlA6GfEuquQNGvQOWY5av2RIhPmk0Uc3v17TP0ioT0s6ampmI3oFGbDpm Qxx13KZ44omn46UXXol39+yO2fnJGJ3cJ9WJsf3jeo/0vegZYCVVsjRysGbhSVY55YdT7sdS06T7 4y2nGcoiCw56BO5hyWx7vN1h/I9R/I0WxIQsBv4cmQwb85t/f3U88MBDMvKkxHc/JrRGuA5Jpkyi icYBhR/htAYCvX09dhMeHxeh2gYX47Fs6RKBUnEzuveeB+P22+7U1O2CC86O7dsfjaeeelYwDFoe vC/6bRs2HKp7pCzl32178KF47tkX5FxN0DP/DWWRieifG2xPcwvHuMD0lEPH00dPClmrvXKrThUJ BQHrARdNzIJ6hilUZfPqq68qo12/bp0GGNu7uuKuu+6NjRs3CKu0HmBnrXV+8bznmvHii3A1b5XW /jFHH6X3tP7QQ5IPa8ZEZYaF7TKrxddnaIIDbvEDixJUBslWaHX2X5podh3ydL0GRTV4UMVBsOsh 80I/C/iSEe7KOJP+Q9wYJ7uT5r77day7mWkJ+I3LQEEE2AX9K4mnId3a3ROLlxiIpoUnk09v7oFF g54MjR7QJmQRS+tJgFEHoj2739WDFU0l/EIqapp+4wBowFiBOI049hBFusqJobJMKg9OkzM2emZh krwtUb0WMjypEQ1TI1zflwW9p0KURRqlD0DmBT4xGd09ViW1IiUeACgNWC9Lhg68dPVNcFvJYNo/ qM9onaLJ3eJZMv4u2glloayZkgPZM9+jiZjLxbYctFuEZbHkDV8TNN2/rn1SoDuMS7u6mXzS0+mM nn6Xn4dvODieffqF2Lf/gDZhf/9MTE9MairK9UuEUek/5VMj+lGITOGFHmUAlNB8n3/j9gDP2rSn zhyiQHsZicEBsGXLo39gsX7/+utvxupVq9R/kiBQ0rGksZbqlrwPYAKXXX6JAtb99z8kqWE0tbze 4JL2+3CanpXj8MrVq6SvREZSWklQrZ568hmBL++9537BL95/+qlxyaUXa7J54423xtCSofjsP/pE nHLq+6Soun37I8qomPiRnZ9z7hnKqAiWtEjY8F/76relZbXj4Uf0LjFKRTixJmFF/yly8nxtyJp2 plBeUZQ4sNFms7v3TEvwjs+STySTTPpiySVEDui2W++IN996K448YkMcu/mY2HT0xviTP/7T+PrX r1b5PTDostSBdFLZGMbBP/z+j+Lqa74f4+MTcfPNd+gA+uiVH9GBAKlebYjcB7RV3CM1/soTxZxs 5n4p92r38NwPq/aRdNhmQQnY5WfhRLuqkZKdsTOPM8AqX4wYMKjZe8bHAFnedJehEiQkAqe6R1QC 9G2pCB4mm6rRBWucD7NPH/pFgg1ktiJp36El1gXat0flHaA/SfEOwNFCrA2CM2RLOy1zIUT1/Qf2 Wrq3hUeiN2Ncx549Y4yuskGedXKK/pXEMurFvNyODrwQu43STx5fqSCCKSTjY9NIUgOMDiVMpwOb e2bGgZAtcR0YfhphbGjC+AT0Gz9wsFlywq4+VFcjliyxxI5OzZyazIJTSdyKy9iZGJ0Yic4OBz2w aT7A3LgvnWzKbZ+uCQ6V7VSe3K2emJujPOe33npdWcLAwJKYnuuImeaUuFh8/6Stm+P+ex+OF597 LZ556qU4actATIzTYMWwFAKsuWo9PQNxAEOLV17VaB3OJMYZYIBAriOvOTp5wABLDQ4GoruBKmoq Nagv52kPnz0xPhn/17/81/Hv/v0fyqjTZqruycnGfsZSzQRMspAjJqfj4IPXqbFMUOB7qw9aJSwZ 9miNifFYsQJNpW5NiKXVlhg1ngUI/C//7dfixz/6mVRXycowmOUXX0jgkFnhiMyapRzlf4uFMTmh gJ/AIQVUbOPh9Z30307QeyDg0bimnDz88IPjwL69MciwZXw8Zrqsi+WmuaEjHEAa3LCLU4/LSrEm +Ws0nx4CamZLiJBeTp9F8zrsmHTfPQ/EDdffqM855ZStcdGF52kNvPXm2/G1r34jfvSj6+Lll1/V e3z44ccEAMZYlcMbyRvZv5+yNZ54/Mn46le+FWvXrotzzxsU+FXXVUEkqU5qQVC+YeJCb3ZqWgdG qdWSjKjtAiIgBQZbqiBk7L39YqJwvQOdMBeKbucgRnCHfVLKHvyXIAjQVeDmInSn8xXB24oUUIUY rE0kl7CFtk6RiPSpc59mWmz3QnmzyAoCIbCfxp1OJymBdFGa3PACe2PlQWusWTQyYiWGXsoLI9fJ 1tjMnPCSk+masF17Yq0kmAeZmWtBYD8pOCpPpsrMouzSQZxbVtk1cx4gqdmDBLQNRf09Tn4yQ6Yo PBxImIyrERuzb2IzJscmBYfg+2QV0sbmxAcHNpfjWplvekpUWDGhf5MIzPMrPqKMAhIEu2zFymgw /cxJH417yp4i8lrDOoXl1OPC5cYGsnyx0RjJY3pZQwQhhHvQ7vYJ+oEzTo6bb7gztj/4WPzge9cr szpu89EiK3sIQtnbo0Po0Ucei1tuviM+ftXHYnh4WD6IqGeuWXNJ0pYMdO3C0Znyr7MrhoaGW9Ml 9xLTKAAj3Zw4l3KFhwjOHFkn9G0O7EcueCyGh5fF7//r340v/elfxA9+8BNx+K666iMq0Qj0IweQ iba/JcGAjfTqK6/FX//VlwU8pSG9e8+eOPucM+KLX/xCLB9eFo89/kTccfvdwk9RPl1xxYfUyGbx d5U4nXqCHDocQJ5kzebgBrmVEv9jSOGmvvtzamSPj8VMt6fAtfnKjUiyQjm4UU8oN6iwVy3XGvYN 2bhdZmix6Fklgpxsn4ktyqy4iF/y4YtFFuf6v/BPf0MQE7LJZ555Xv07qRwMDsa2bQ9rHZKNffTK K+Lkk7fGLbfcHn/9V38b//E//Jf4u7/7uvqUPAO08pmkrjlodbz//afE5s3HyNuw5//r6sqD466v +9NqtVrtSvLqsg7jCwTYYCtAMGBjbAwFg03McIWUNiGT0FLSTvpX05lOm06n7XSmTK/MpNOQ/NEk BsKVA0wSwNyXHYgBAzYmNsbGlm3Jkm1Je2i1kjqfz+e9XaXudAjGlla739/7vvd5nyMtaGNycqSq /aOOF8qVlId70IRSE0QQQ2sRZuIiBrhfLVhukgAoJjaWtGd3+V1TNmvp2Qy/Ns63nFRjKYVR3SyJ 2bomtakOhTXmqZPQgvwmNrjwCBYnF+HSKpjRVIj3kReS7IORLByMX20yBIbLv1yrTlRrsXh18zZb E0311TKrxZTmjm6UjY0sLrQYhsMCfKPgN0VVPzaDAtrJR/EiQspE+Ha5biq8jrQgmOQHCPU6U4iZ tDzGzg5diIBGd0V09nVsfiQJkQYq0keo8C+gWGmUQiGeSpYZOQ+Mhe97bCu9LZbbY0ErZdoBe4pP sJOdIYxDjGUF/izGUPpAhaSivkbOm5drtZtuvp4P48cf7benn3qRWsmlixYp4YhaR/g7HbfXXtth l11+KSkOsDXGof704EF75JHH+HAD+wA3DVgRRim8xqVLFtEeeefOt/h7KF7t7Z22du2VVf7Xc89u 55YOTHjoEgE9gFmPcRMFAFs3PDTXXX8NL6iHH3rMdu16j6PaUtAturt4NrAhlOPstJ04MWpbtz5i 2597kR1Af/9Su/a6dTYwcKGtWLmcrxNgPjAs8MgQ7Q7aBq2FXXAuW2p9PuLxyb8stK1YcsTj1pjL 6byWoWWVpk+5mbW8PBRrwAtNFXlVYeaZSwYOiU0YYZK3xsteqovAweIXzlhHZwcffnROSGBq8AcY n8W9936dRQacNjQx0GtiglGYbJ319vZa/7n9pI+go0IXvn37i5RYQReJ1wXqCYjG+F47d7xFusQX tmxm2pGi0pSEDfNDnD9pg1MuFvfC60x+ppkzj0DmAPL7n6kuysIQs7bEUpgFmAHxbIeAXQXQ3xeM qO4tRyxaG7KyNZgilebiWOGGSrC1AgBbhUDAYC3LLMA4vtHMzNPMHtwLEidBtPPcsoiXigIYgQMx 6sRWkukpDoDz4XYSGbCgILlKplNjJMeNEHzxsDOJUTfW6viv8j0SBgHQO9MkKw9a1VATKLmImLo6 cCJeBrFWQLTE2irqVc2Vj7dsif1nkAq+kdgPCZAttXw7PMg6DAVrKjdZPTeBwkmUlwheWb2VimUb P4PwhjxfG8Y/PgigYBAHFL5F47o6s4GLl/vYZvberj22bdsLduWaS2zFwPlWmS2TjDkyepK3+de+ /hVrzTXTkbVrfs6GhzO0rAGPCqA07FVAYF2ydAmxkV/+8hmKl+Fl3tU5n3gfBMI93fP5cL/00stc PkjKovcBl1rWJSwEzOFWkUySp3Xjpuv5fj3x+C/s1VfeZFjF7bdvoZAZ9syIvRo8etzefW+Pbd/+ EjuzTZs32sqVy623Zz4fTtEa6kiiBb4jh1xti2VbozMeNi2kizCQdNJmQ0UB3KkCrR4cPrXxBq9O GkRtk6tRWmTISzJGaoJjVbEZFY9PlAB0ySxYeKPqReaMDoSYmNs363KaJV6Gogs3DYTbfv7Si6uA N+yEMEaPjJxkcWjOero6LvxMMycBYGl45tBhfvHO21jYT5wYrp5RkGpxRg9/dsTe2vm2/exn20j7 yDZnmfZzbv9SYV7AIZ0+QTyVmz7Z9vDnm3b1iJOx8RnSJhzjIhyMEzVP/Kgr8sBKWH06pFeeTOSc LfK5aAXkNtl1SNvmIgwz9IxN2RSTQIIJXRVv8g326COsjwFe+4Ma4aSi98uKBX8Wa198yKjI6qq8 sDmhU0C7ssqAb6FrwoMQ+AxuUrCOab3iRLiwqoiiIydSMY1xIAULuLmbdyNxW4p5i+9be/C57eA2 A69DDG0UPtzkjLan/QU2WPUCxX3LGDwttfJ4AIA3aFtYE0Zj3K15GdF0jSObGMQYJ9Ad4edLByCJ W7ixUep0F0mLuCr3CoyOUzPi6ohVj5E0TSyuLjlriaT0mLhUIJRGwaLTQabRLv78hTwA4Fft2vUB +Vh9izqtu7ebtsUY+YE/1TckbHp2yiplfdbgdyFY5Oz+pey8nn32eXY+CxcuJAkTlivAdlCQ2trb +PDlJwp2dPAoN7mIbr/hho22bNkykkXx3rBgYSScsxiRhNtodwMtI6gLP3n4CXv88Z+z0LZ3dFCI PXgU499ndmLoJDG2GzddZ7fcuoVCeIwQkpZJtjNdD42gEorpmOD0CHjBT5dFbgQtZ65IGp+vxOFI Ui4IT2S23ml+/ZD5VNfYVctmdAeSpeAcNCRAH9A55IPumGeYTVaTcIJbQCxV21/Y40R3AuIu3ttX X32Do22FKezOtwJPLjfPmluyirSbGCMlA1MJfe0DJ2NgcT1xPMixROsRhBEbbGxAH33kCW5Sf/rT J9lFQtFw2arP2y233GSLlyx0wTSi5SV9Y0cFS23PKkCEl+Rwof9EoRdVAZZEM9PiUUVoTLUzm+tU ghrB4qW3F+9DLOnYteGiAC5AmxbygnCgwB0K/yj5HdE9sJq4ARGqiGJ07vTWGjd1LWlXkVxKL8Z2 zqUzXvgQ/yMGOIITinPGSRnuwROpPif3z+pGBQWQI1SaBwEPPr2pGkCbkLsDHVGhIfNbkBYp7R3u B6QRhWkfjWktETgitLA9R+Aq/XdAikTx9Lla4a9Y0ccmc4YRUsDjUEhCLykKBVpXBBTIr6hYTNAp El8rRlQUpbaOTiuMozBNWQVjBXQnLo8hxuZ2HPg/TJj4PSgFBA4roSX4OtMzYK9jJHanCmc/azRQ cW9sbLBLLl3By2Z4aMQ+3neIRn8LFpym1XFTk1JecIsnG5ZzxMYNeQbYET34Ne5g2wkPq2z2DQKv MKKDSBpWMRMTRevs7OImDyMIflbgIaEtFR4BPZhW/SHcrnW9or10dHbZTVs28ab9n+/+wL7zX98j J0pasiQLHwDom2+5ydauXV3tSiN+npskKAM8EJXbbi/4XP6AXgG8Dck4CJugi4YmgiwvKGBQ2ohR JjIjvEZbTT3oMMcLjzYWSSySPImJ441wgqrLJ/+uX9DiPQbj3BsCJ1BSS+ecPnSAlGV5JJ3G1KSb bOI5UicSNs/AV2dm4KwaHZrCG6oaSQjzqT91G25uWPVZwHf+7q/+MV0i3nh9B/lbSCL//vf/l+P0 9ddv4GieTLYK98TWjuN0JLm7/AwFf2rSUiYqAz4bFFHwA5kn4MU27MgZDDKbxDJcYzmDPqT0aGmV Zje647hw2LJEZHV0VnO9mQjkAsVPNVTJZPgnNnC4gaOtzmZbyAWCdQyTm6nInyd2PEMZ9EbDpRPf C6tVYBfYPBSLALbFTZn0QoBWkl6IjjERq0qlLdkmLIztoTtR4tDoxlT6Dro9klbr6rjOTiSANXji SPBJZoxgLkTNKH5Jt8XFoUSHWDhzWsx6BgQIaJ/B6ExvI1gOY2STJCjsaWI0LsFBAdlw8Kyum+V7 o45QtzAeKLo2goE/PW1NvBRUULOZZo3TNHBLkWAI8iPek1PgUwGTq6vj7J/JAoTOWsWUtEI3Ct/w oMPBhYH/x/vUOi9l5y/vt81brrUHvvsD27tnv3X3dFmurdN6ertt3for7eEHH6XYFuPfe7s/tHd3 vU/mOYo9Nk64pVtb5hEABvax+73dfG/27t1nF110kV1+2eU8oGNjp6yjvd2+8ef32ssvv8pNV9+C Puvrg24wDnkNUpgLQ+DzBNa1fv1aGzoxbP92/3f4GjZuvIZax/MhqVnQS4A5fLoE+AsXVfeihzhE 0BRYV2DRUya2lEpH1y+eHrmINGBEUQEdR8L26vjinRTPdVqkXvwmE6cnJ3nuQpwbMAe+NwoUI82c soDfy2Td+rqqgYwuS3IkJVbX20x+wgYHD9mHH+4lVgg/sTqXgskTHd2WuhE8Czg3GCkn3ZeuEQUb G3EuOnSulRbtjhYOUeDZxMKnLddqt9x2s33xS7eTg/bII4/bv9//n/bAAz9kutFdd93Oc4xvyKg4 j5tDo4GfC8+MnH9F4cG5QN3giMyxukjuZegdNVar61I6tsTm4QATuN/kbEkE8YS6Z9rLBCJPMHJO ynOIJePD4801bVwtow2l9W0d5uZGgsC4AfA10JICOI8kXXQQBO3dPzsse6MYhlMDKymKUVMTnRQU Q6Uxkx5HHl9EkzJ3ZGBldiM75kN4iAELF/LrKhilFN+tkRMzMYolgixhHIYuSa6faCfSjXBfEDOX VIoSfkanXbgXE+OnqHifZTo2Vt/qPhUHTwIpRgkHiSOkIXpdND8YF8O5FIWJB3ZKBxkdydTYpIwB 6xLUj6FYRd4hvLTQieD15BE+YJBFyDJEr0PmiehUscjA16exP6kQyCZUXh+6iPGxUUt1pCmuzeVa 7XcfHyCpEhrCjTdcS70fyJ34HG7e8gX7+ONP7PntL7JgIKL96qvX2sKFfeQrPfPsM7Z06dk2sHIF PbIWLV5kt99xmx1yK2Da/2KiqhPGGIcrxPYBxtbwSL1f2PDBMx1aR2ySFFyAJUmzxmX/uXEbs9hk 1MHjvwEvpJKiimXG9hILIW2UGciBqHSa3QWjUoUJHUP4d6HzpjSMChBwyYB3uYvsrDox2jn72Q7N rJjrkSyFZ8AjuSIDAUTnOe9DXaKRHDvEguFCv+DCC+yc/nP4GeP3aV7JzlkUj5gs8xMR5SVCZxpj WqrmCiIIR8RenEsRWjXh1BZvCWKHd911J8/QA9/7gT311K9tdPS03XPP3aRJDB8/RnE6Rnt6x/Nn BrAuzTGXXXhO3HoG5y4IqzIJ1cWiCDrZMIV8TSN3uJh4XKALpklpwTcKFb/sgWs3yu/dfnM6MLy7 EcuFN4+cIGy3ENSAH4AzLgpULThUBDkB3rFtm3KCmXCvcf55AIY5uA4QQ0HBwXilNI/wh5KaPozB Iqq+nvNvuYwgxinFeuPDwzaO0UEi92H0m5xBkKnWzGTFgweF9GqOZbJjwWiAA4g3lxFEflspRh0E Px2uiruKKt3DPddNhwS/8MDQkcKpDVVzNO8Ow01UiwWPfId//GSBm1B0gQwJpU1zwpoaMwxcwK2E Co2Ob7w4KvNDUijkEoFIqNBEglFfmJ4hDvTm628b+KI9vZ2WbU4Tw5rIn7Lu+Vk77/x+6+nt4WtC HiEj7clYn7VTp0etpTVDnpTkK0l2PjPTU3bOOUuIa8ESOZdrt86u+XbT5s3W1dnFHw80A5wRYHfF whgffAnda0Ebc212tMiA7ElERWwie/v6LN0EDh7ef6NeD+9/0SVWYc87OR5FGt2NtJ4xjqNI8xYP zakkDbxgSV+pGtu5wB3nHCRXxo9FupICQUgibkxVqTxhxR1bZPx5/NFmunN46pB7TgF2gfQmXEGV yyedrdL11AkBt4LThAq4sCEun6o6OtckOpEYzwm1u4wDE24G2CWkaDGCAlIgBaWhgVtf0D2IfURW ADWYSVuz5lIrTxbs6W3PkNf16KM/rUbGv3ZwJ2PaTp4csd6+Xlu7do2tX3dFtXbEpRPUHMIrio/y 58jDcCvYAroxILenkpwJ0lD3rMgxXPoowCmkoeA2UGQTZvC527///4tkMXyI7kyKbw7rYHwDaQ3d cqOKTcgAjwxqD1VltBQBOHE21Ea7ORvN/RqsBH+qcoXtiEibHpCBIAzSILT1SSJiyLV/egPEVcqw y9EDwaLkCwVo6XBIIOqRI6nbF7uLo2Q9M1VMJEYO0BZCngP9FkdSLz5VvaPfDnNlCfSgckeFBCxm mezsgmi3R5m7LdX2DE4Xon2gc0XRQTeAGwajIBYUlRnIdGreYlUr20QknkhCQVoKSI6lKTs2OGKf HDhsS5b228KFvXQm5YZqpmxj4yetVFTrrSBWfL5a88OehwcZcqrMPMvlsIrGQ6DUIWBczc1pjgwZ JBwl623BWQskykaASBopSBUbOQOJkNk8H4nn+tjHLxYW4iOhFzV7/vmXeajhRrHgrB4HY2PZEjkA cvGsJg3xecZDUwOYNYJIoxmKifBSo2snvl4aYluRlTmesMDoLMl6WAsXvN9NTc2eWCwZEn6hW0OH HEaO6GzRvQQAz9EyFfxBYbh8mJ04iXMa1J2VAytZTMC3wo+59qo1tnr1FbwogAsx7XwaBVm/CKj7 lKOOEgLsMARQIVFhE7Sj8VKb6ti6K95sipkHLdmMrVlzGUffZ555wXbseJtUCHwfpB3hf+NrQBUA g0NQQ5C3OG9emhMO6Dco3GHAR1zNp4poOtARS2gt1UC4O8SFQasm0eLlLgGNDpjgKkYy8gqv5lrB Cg6FP2CIQ/IHkU6glQpvKRne1dJewu6UYLLr+3SLSIQcK96Ee78HZoAtRRwMaepkpBdJNsQKmB2H Ayn7Gbaa7HQSNMmjfMaDOGOTA1sSjHA0g2MsunRX4jCBwCrXA374XBbALsM3juTQ1NFGZjol0iiM sUX2c26ZZxPiIYi3joZ1c2xjZQud+r33VmRScdLkqRQmadKXBSG1vROOCa0cqWDnQxsTPgT1lkf0 O4BNjKSQ/9D6ud5SjhmMj4/Y4NFhGzszYZfcjBDPBdbSjBhzUAsw4hft1CjCcfHvoAaA2wXSY8JK pTF2dGfyp51XJiFqFAGcAaz9RTrGqKWQA3QhE4UxnR44fKAzS6WtCMAYmCTuf2w5g7XOBBbdvHCF WL78PBsYWGH79u1nEAYeXiT3pFIQ5wKPRDFEcdecjS6TY5IHd4LkCl4QzjWwlRjzwxiONzmwLbdn lp8WLjwshDC+gMyMJYigkpAL4Zzn2rqsuTlHDFSOEgDwdWZL08VqISIEQh1maCrlcxZOnhEll0wK 1xEVR8k+WGogGuyVV163bU/9yn73u09sdOS0rV5zOekO3EpCw8vzqiIn4F94FbHVsEUGrgqzAqRv uwsDygD4gWFfXpUZMZ5PtsXYCq9bv5YcLwRWgKQLXhje94GBC2zx4kV27NiQPffcC/bgg/W2f/9B irTRGeK1obguX34+P0tCH24Zw0hBz3DgAs/dSpkj4XghffQY4uJBMDAByBfOWCbTyptCG7+S+FPu 4jC3XacvFFbFs028MXiTMAwga6m0PLVUiJzJjgNtALzdG5piYzeN89EwIte5/qT40vh1o2OIuR4f AvkxmH/95pNFB0YgCaxlfSxGOx98D0xld+URZPhs8MEqStttZp0/xhBUrrl1++KfKBjAQERtQCJI hcnQYQWtMA6PN4tIpVn3uqKLAA6tbuYqE35OgeODxtFzkpl8Mu0DRURbLm4gnXwKzIa6r1m8Vwo7 QOfWkMzakcFjli/AwaCF+EL/onNsbOI0zQn1c5yyoaER5uh1dnVbW67bWlub+RpKJRRGYGPtfH8Q +V7Bg1euWEsmTXZzY0OTDQ4dMWtLWneqTyNMvVm+NCGhNFKKZmesUCpYpqlkpalJG5s4Y8OjJ6gy aJnXpeCRyqTlZ1PstJoqFWtAh+sPLjsYD+mAx9bVG9aRef6rXz5nO3e+rSisSwbIDyoVtXWC4yuK xtCJIRsdGSGBEm89bn/o62Btg8KC97wM5UEZrb50krAxkQ3RrDXjISvBwwnHShcR6B+pdEacQecH 4vMET6mhAZvmaTt5EmObFjwoPN3UOgryUBcTHEVt3SMHMDArLJJi3a+B0CGYOiN2eO99f2KLlyxi 6OzePR9RgQBO1ZabN9OFFKM1HnpKt4Jj6F+GnEXiQnIawWeDxUOEu6ARQKEWd9Hda32hFeA3zlt7 RyeXKP1nLzUc8r0AAApESURBVLF33tltH3ywh/78EK8j/GT/gU/J7/rg/b32zq7dHL1ZqN3xF0nY d3/1LioXSF9yKEbdt8Tbyp2U8ywnDcjjfEyUIkGvL4n5uVScsMY0aAIIjEhYIT9m6WzNnVLcIyV9 hJQAYxsefFTeySqNoObtJPcHWaGi9DEokb5OesgJELtDBCovDiwKFXR89Neiil6AHG7HylQ9sSia 63vrKlW7CHjs5GBL4qaCjtl52s40HUxDPoOHHKz2kJSo6stxQECgeEFcxU+WrAjfqDIyGPV9eFuV S1YYN2viBlDFnYejMue1oStz+5LAEKLzI3eNMWLC6WQQJwCW1jRJbGaVJjQ8dJwXSnicw3JGgR+u lJ+WODvX2k4M8eiJI7awZ4kdOIw49YL1dvX5KhlOF0avrBUrVloimbYDB/czhTnTmLVLr7jESvm8 jeYn7MTIcXZNK/oHbH5bjgVt5PRJdl+6lBJ2YuSYffTJh/za5yw8l+dl9MQRa21pt53vvWbdHd3k FUE1cHrslA2eOGy9nX22oHuRjSfTNlEHfHzaEiga9fA6gyQk7EjqrL2z0+6481Z79533uZUFmx6M b/wSkRcPhQrAiy++Ym+88abdf/+/8OGEZAWhGfCfR7J0NpOzdCO4cTkvOEoex/uGzyfbNI/jMPl5 CSVxQy/Jka7era4ZnKBkGpyvvXs/sq0/fohctJ6ebisUC/aVL3+Z9ABsZak1dXXGLCQh8EBnLgC6 3ySXRdikQ4mA6o+Fj4oNeh/RGWCceO+f3WNXX73OHn/sZ/bwQ4/a/f/6H3bgwCd23zf+lOx++MKX iiDCqsOkV1oQWtn14pmeoBQu7KeZIkSaUEwDeFg82RkFpCFpWV+gCVZJ2Fln9fH1bL5pI7tPErwb 0wTi//Gfv21P/nybnTp9hhw9dMggBYOL9+ijT/C13PHFm9kxE/ebBacQlyn0wZ7jiCYmWc8GoS6B sF6N+IzUI2M+CW+uBAsB1o6KM8c4lbHCxBgfxiBzipUrPhZwo9D3RL5boZo+ggcytHwodNpIlMuI TxKuIjkObvZK1fgfDy9ZyfB2Qkfjh5ZzLPzJy0V2EOgOtIFRAQC9X7iPEqhrHaHCCOQ24FQGTwfC a4d+USOucLma8lz2M9I7CU+SkRhy+kpc56sbxb9PWrlSsba2DhZr2QXXDA+DwKoOSlyxWMVLWK0g BQG6c1KFMI4iUaQRmFWrnbRhYnwi5ik+LPYN4YJQKOVtcPiotc/rsLaWdjty/FO+Zvz7RGHCitMT dsFF59n6Y2vs7R3v2j//0/3E0MbGAezn+VD94smn7cv33GZXrV5n6VSamNOivsU2MT7Mg6sgA11g hdK47Xj3NVu1co0dHfqMf7ZULtlEfowYyNHjhymRIcWiJEyHNi6dPdYKt4f8hI3mi1ZoSFlXa9Ya EmalApYzE8wb1JYZNkUzFEKjQL36yus2f34HHUo7Ozo9vgrjXe0NoV6PHDrJOjC+wCQQIuoDnxzk CLNq1aU2PHyINsT4e8dPDNmmTTeStnHk2BEa5o0zp3G5DXxuwN7YsYOvDWcMI9LAwEoWcHzLs846 i+k2F154ge3cudN+vPVBu+OOW+3Tg5/SFgbyGIjIIVgG0Rb+VDhPy5YvY9gHbKi3P/c8P99LLrnY zj2vnx3xFKAK5+bhYV52/nK77775dtmqVfatb/2NPffsC/zvX/va3bb2yjWMrMNlwqyBOmzTXcPK UFiN5/SbR8FMpxiAW4/MT8AXxA4lXsdWlLF80Bq6JC1sBxlb5pmayTJG4cnqVIVwkr/45n1VoD0K 0he2bLK//OZfURaE/IAbb/wD27jxOnZm0h3XgmIwhruRsjhulCwpPxFjN/SWfEqCy0Sgt5hnG0yZ QanmzBBAbhh41bAtgHwhMQkLERWp6tjjf5YjJw5wXqJJFEa0pbOzkEFkrL2tk+vi4BLRThm8Er8p ZJSHm0drXUlgwpwPLblHjLnukcWP/BBJfSIJh62qg6SgBlQ5Qc78BXNdwJ86NLxhSn1GXBOsYCRj gm0NyJTF0ngV6OSGERHI+MBQhEOy5OPvXGAZ26YpfK/ELA+BlPO+YWGwrVmyLsVxDAd7arJisxrt vYeVUJbCbwjNc+JJ4aYNDWNDPThq4BXNWt+CHvvSH91GC5L33vnARk/lacO74LI+e3/3Htv34X5L 1aetCSp7YiCiilRDQb2gxmfCAE3Eq1VJkmUrThYsXxi3sfxp9+iesZbmVmtrbbfjJwft/Y/ftdUX X2XzWlpI+BwdP2NjmWab34UuTpwlgrEMnJBp5B/edSdHjmd/vZ3/PHPmjHW2o2BF1p17THmiSxAa 8XsoWHAlxcOG1OWnn/4V32uMV4ODR+3GG65nUdi69SG76KLP2alT8qkHZ2zbU0+TvvHUk0/bsmXn 2dorV1tnV2d1ySOdKzAtmPnhUqvnZfujH261a6+9xhYtWkw6BzZs8LN67bXXbcM1G0inQdgH8CAI zPFn8TV/89ZbNjQ0ZFdvWK8t36wXHNOF3NPdY1etu8q++9/fsb//9j/Yjjd/YwMrVtjnVq7Q1riu jtFn5C7WwUlVeJXShtSdK7FdjhCRKyqtsIi8cgSWkiQoIxECwW4RiyTf9EUTQz4WurasOGS61ACB TLOQ/+3f/bU9uPUn5Ov96Ec/sd2799itt26hpU+4pursJ5AAKn948tpS7MDCDBQNQlIcIpHWAigH NwMOmUHw4rqRMzm+SC0UNPAYtnN0E4XKXBY0QQxLNmArphWrCo4cF6u8qHAD9XErIr6DiCaipayJ K9F9sa2uKcT5huPvhwFhmO5F4fPkmFi54o2oTJfEXHZPJZnP6cCj+3OUtWbDiu0lKr6nCfGDhKSo Ccm4AdZqmxkFUMx6j3R3PCE2knSgxIOOBcCsQHz6Ck1XrKGuwaatthAIV1hQMrgO9rgoyZiKlqyb tVxLG/ErUBGGR4cs16ICMZY/Y838/YyN58dtOluxKzessjVXXqG/m07wPf3syGdmn5hl01lLJuot 09hk46lGGxodsiZucqeptRzPj9nHB/dyFFh29oU2OPQZOyuMnc0gvZaLtu/gHss2QcDeZKlpbZ2p hCjl5b4B3DKbtcxE2k7DyQMKifpOJgSnUvL5grMElik4l/C0On4MY3GSjOumdCPHVfiqNySBEYlI GZdBUBY4XmBUKpct19Zm/f39ZOODyX3o0CE+oOi4cPk9/PBjLGz4PQi/oZU8cOCg7ftoHyVBGGVA aBUFQGcSZwAdE6x5oMs7fPgwbaJhmgeZ0Tn9ZzPN6NVnt1vnJgmZ+3p7CUrv+u079tKLL9vu3e/b 0qVL+BnvensXMTYULE0wNSY5N54NsgvG98UGLiYLTRzYkE8xd0CXnrbU1aVNsO1BJPaLE58pZF7y 8JLfOqcGWh0JIyY/i4TVmqg/UnKw1ODfAV3Et+3V1Gd/rlpzrbbhmvVUP/wWP/NLr7BY49L59NAh 8vUQSBtaQxn4iZQqy2kZaQYF5P8A8qlI/QVjtJsAAAAASUVORK5CYII= dataset EPSG 6.5(3.0.1) 0