S_USA.County

US Forest Service as modified from the US Census County data 2026-03-09T15:55:13 S_USA.County_Gen vector digital data http://data.fs.usda.gov/geodata/edw/datasets.php The County_Gen feature class is a generalized spatial representation of the United States Counties and equivalent governmental units. The data are an extract of the Census codes and boundaries from the following Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/. Since the Census data do not include the coastline detail, the coastal boundaries have been included through a spatial erase using the Census Hydrography data from the Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/AREAWATER/. After erasing the coastline, the data was generalized using the ESRI Simplify Polygon function. The County_Gen feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of counties. This feature class should be used for small-scale cartographic products. The purpose of the generalized County_Gen dataset is to improve map display and drawing performance in both ArcGIS applications and ArcGIS Server map services. To satisfy both performance improvement and geometry representation, the following parameters and geoprocessing method were used. Simplify the input features using the Douglas-Peucker simplification algorithm with a specified maximum offset tolerance of 375 meters. The output features will contain a subset of the original input vertices. Min scale refers to what scale the layer turns off when zooming out. Max scale refers to the scale the layer turns off at when zooming in. Min scale: 0, no minimum scale set, Max Scale: 1:4622325. The County_Gen feature class describes the generalized location and boundaries of the United States Counties and equivalent governmental units. It includes common identifiers for these entities so this data set can be used in conjunction with other data sets describing counties. This feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of counties for use by the US Forest Service. Since it is a generalized layer, it should only be used for small-scale cartographic representation of county locations. 2015 publication date Complete As needed -178.226818 146.081774 71.382691 -14.599464 None US Counties United States counties county ISO 19115 Topic Categories boundaries None United States of America Intended for internal Forest Service use or for use by applications with a need to display County boundaries to external audiences. The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. USFS Chief Information Office, Enterprise Data Warehouse physical Washington DC 20250 Please send an e-mail to the address below. data@fs.fed.us Esri ArcGIS 10.2.2.3602 Spatial data was visually inspected to ensure that no invalid gaps or polygon overlaps exist within the dataset. Topological tests using Esri ArcGIS were also done to ensure the same. For counties with multi-polygon features only one attribute record will exist. The entire coastline was visually inspected to verify absence of slivers, and those found were deleted. Attribute data was also visually inspected for completeness. County_Gen attribute schema was checked to ensure correct US Forest Service schema names, data types, data length, precision, and scale were used. All features from the Census Bureau county dataset were included in the County_Gen dataset. However, due to the incorporation of the coastline and the subsequent generalization of the polygons, the area of some counties will be smaller than the original Census Bureau county dataset. The following Census Bureau County attributes: LSAD, MTFCC, CSAFP, CBSAFP, METDIVFP, FUNCSTAT, ALAND, AWATER, INTPTLAT, and INTPTLON that are not part of the Forest Service County schema were dropped. Generalized data with a target scale of 1:740,000. Coordinates in the data have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest. Generalized county boundaries are created through a seven part process. First, the county dataset is downloaded from the Census Bureau FTP site at ftp://ftp2.census.gov/geo/tiger/TIGER2015/. Second, Esri 'Add field' and 'Populate field' tools are run in order to change attribute names from Census Bureau attribute schema to that of Forest Service. Then the hydrography dataset for each county is downloaded from Census Bureau FTP site at ftp://ftp2.census.gov/geo/tiger/TIGER2015/AREAWATER/. All datasets are merged, and features that will form the coastline are selected. Next, coastline is erased from the county dataset to incorporate coastline detail. Finally, the erased county dataset is generalized using Esri's 'Simplify Polygon' python function with a 375 meters simplification tolerance parameter; the two fields automatically generated by the 'Simplify Polygon' tool are dropped. 2016 Vector Simple FALSE 3233 TRUE FALSE 8.98315284119521e-009 8.98315284119521e-009 Decimal Degrees D North American 1983 GRS 1980 6378137.0 298.257222101 BdyDesg_County_Gen A collection of geographic features with the same geometry type (such as point, line, or polygon), the same attributes, and the same spatial reference. https://support.esri.com/en-us/gis-dictionary/feature-class Feature Class 3233 OBJECTID Internal feature number. ESRI OID 4 10 0 Sequential unique whole numbers that are automatically generated. OBJECTID STATECODE 2010 Census Federal Information Processing Standards (FIPS) code for the state in which the county occurs. ANSI String 2 0 0 List of U.S. State Codes http://www.census.gov/geo/reference/ansi_statetables.html STATECODE COUNTYCODE 2010 Census Federal Information Processing Standards (FIPS) code for the county. ANSI String 3 0 0 List of U.S. County Codes https://www.census.gov/geo/reference/codes/cou.html COUNTYCODE GNIS_ID The Geographic Names Information Systems (GNIS) code for this county. Geographic Names Information System String 8 0 0 List of Geographic Names Information System Codes http://geonames.usgs.gov/ GNIS_ID ST_CNTY_CODE County identifier, a concatenation of state Federal Information Processing Standards (FIPS) code and the county FIPS code ANSI String 5 0 0 The attribute is a concatenation of the state FIPS code followed by the county FIPS code. No spaces are allowed between the two codes. The State FIPS code is taken from "National Standard Codes (ANSI INCITS 38-2009), Federal Information Processing Series (FIPS) - States". The county FIPS code is taken from "National Standard Codes (ANSI INCITS 31-2009), Federal Information Processing Series (FIPS) - Counties/County Equivalents". ST_CNTY_CODE COUNTYNAME The name of the county from the 2010 Census (e.g. Fairfax) US Census String 100 0 0 List of U.S. County Names https://www.census.gov/geo/reference/codes/cou.html COUNTYNAME LEGAL_NAME The legal name of the county. This is composed of the 2010 Census name and the translated legal/statistical area description code for county (e.g. Fairfax County) US Census String 100 0 0 The attribute is a concatenation of the county name followed by the translated legal/statistical area description. No spaces are allowed between the two codes. LEGAL_NAME CLASSCODE 2010 Census Federal Information Processing Standards (FIPS) 55 class code for the county. US Census String 2 0 0 List of U.S. County Class Codes https://www.census.gov/geo/reference/class.html CLASSCODE LEGAL_DESC 2010 Census legal/statistical area description code for county US Census String 50 0 0 US Census list of county and equivalent governmental unit designations (e.g. "County", "Municipio", "Island") LEGAL_DESC CLASSCODE_DESC Description of the County Class FIPS 55 Codes US Census String 200 0 0 US Census list of county and equivalent governmental unit designations (e.g. "An active county or equivalent feature." or "An inactive county or equivalent feature.") CLASSCODE_DESC STATE_POSTAL_ABBR United States Postal Service state abbreviation US Postal Service String 2 0 0 List of U.S. State Abbreviations http://pe.usps.gov/text/pub28/28apb.htm STATE_POSTAL_ABBR GIS_ACRES The area of the feature in acres, calculated in North American Albers Equal Area Conic projection, North American Datum 1983 (NAD83). US Forest Service Double 8 38 8 Positive numbers GIS_ACRES STATENAME 2010 Census state name in which this county occurs. US Census String 100 0 0 List of U.S. State Names http://www.census.gov/geo/reference/ansi_statetables.html STATENAME SHAPE Feature geometry. ESRI Geometry 8 0 0 Coordinates defining the features. Shape SHAPE.AREA Not Used, SDO Geometry. Area of feature in internal units squared. ESRI Double 0 0 0 Positive real numbers that are automatically generated. SHAPE.AREA SHAPE.LEN Not used, SDO geometry. Length of feature in internal units. ESRI Double 0 0 0 Positive real numbers that are automatically generated. SHAPE.LEN USFS Chief Information Office, Enterprise Data Warehouse physical Washington DC 20250 Please send an e-mail to the address below. data@fs.fed.us The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. 20170110 USFS Chief Information Office, Enterprise Data Warehouse physical Washington DC 20250 Please send an e-mail to the address below. data@fs.fed.us FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time BdyDesg_County_Gen -179.147236 179.778470 -14.548578 71.390310 1 002 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["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.98315284119521e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem> 20250318 09202200 20250318 09202200 1.0 150000000 5000 FGDC USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 SM.FS.data@usda.gov 20250318 ArcGIS Metadata 1.0 USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 SM.FS.data@usda.gov http://data.fs.usda.gov/geodata/edw/datasets.php Enterprise Geodatabase Feature Class S_USA.BdyDesg_County_Gen 2026-03-09T15:55:13 US Forest Service as modified from the US Census County data vector digital data <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The County_Gen feature class is a generalized spatial representation of the United States Counties and equivalent governmental units. The data are an extract of the Census codes and boundaries from the following Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/. Since the Census data do not include the coastline detail, the coastal boundaries have been included through a spatial erase using the Census Hydrography data from the Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/AREAWATER/. After erasing the coastline, the data was generalized using the ESRI Simplify Polygon function. The County_Gen feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of counties. This feature class should be used for small-scale cartographic products. The purpose of the generalized County_Gen dataset is to improve map display and drawing performance in both ArcGIS applications and ArcGIS Server map services. To satisfy both performance improvement and geometry representation, the following parameters and geoprocessing method were used. Simplify the input features using the Douglas-Peucker simplification algorithm with a specified maximum offset tolerance of 375 meters. The output features will contain a subset of the original input vertices. Min scale refers to what scale the layer turns off when zooming out. Max scale refers to the scale the layer turns off at when zooming in. Min scale: 0, no minimum scale set, Max Scale: 1:4622325.</SPAN></P></DIV></DIV> The County_Gen feature class describes the generalized location and boundaries of the United States Counties and equivalent governmental units. It includes common identifiers for these entities so this data set can be used in conjunction with other data sets describing counties. This feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of counties for use by the US Forest Service. Since it is a generalized layer, it should only be used for small-scale cartographic representation of county locations. USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 SM.FS.data@usda.gov United States of America USA United States counties US Counties county ISO 19115 Topic Categories boundaries United States counties boundaries US Counties county United States of America The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. Intended for internal Forest Service use or for use by applications with a need to display County boundaries to external audiences. <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.</SPAN></P></DIV></DIV> Esri ArcGIS 13.3.0.52636 -178.226818 146.081774 -14.599464 71.382691 publication date 2026-03-09 1 -179.147236 179.778470 71.390310 -14.548578 Spatial data was visually inspected to ensure that no invalid gaps or polygon overlaps exist within the dataset. Topological tests using Esri ArcGIS were also done to ensure the same. For counties with multi-polygon features only one attribute record will exist. The entire coastline was visually inspected to verify absence of slivers, and those found were deleted. Attribute data was also visually inspected for completeness. County_Gen attribute schema was checked to ensure correct US Forest Service schema names, data types, data length, precision, and scale were used. All features from the Census Bureau county dataset were included in the County_Gen dataset. However, due to the incorporation of the coastline and the subsequent generalization of the polygons, the area of some counties will be smaller than the original Census Bureau county dataset. The following Census Bureau County attributes: LSAD, MTFCC, CSAFP, CBSAFP, METDIVFP, FUNCSTAT, ALAND, AWATER, INTPTLAT, and INTPTLON that are not part of the Forest Service County schema were dropped. Generalized data with a target scale of 1:740,000. Coordinates in the data have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest. Generalized county boundaries are created through a seven part process. First, the county dataset is downloaded from the Census Bureau FTP site at ftp://ftp2.census.gov/geo/tiger/TIGER2015/. Second, Esri 'Add field' and 'Populate field' tools are run in order to change attribute names from Census Bureau attribute schema to that of Forest Service. Then the hydrography dataset for each county is downloaded from Census Bureau FTP site at ftp://ftp2.census.gov/geo/tiger/TIGER2015/AREAWATER/. All datasets are merged, and features that will form the coastline are selected. Next, coastline is erased from the county dataset to incorporate coastline detail. Finally, the erased county dataset is generalized using Esri's 'Simplify Polygon' python function with a 375 meters simplification tolerance parameter; the two fields automatically generated by the 'Simplify Polygon' tool are dropped. 2026-03-09 original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VVMgRm9yZXN0IFNlcnZpY2UgYXMgbW9kaWZpZWQgZnJvbSB0aGUgVVMgQ2Vuc3VzIENvdW50eSBk YXRhPC9vcmlnaW4+DQogICAgICAgIDxwdWJkYXRlPjIwMTExMTMwPC9wdWJkYXRlPg0KICAgICAg ICA8dGl0bGU+U19VU0EuQ291bnR5X0dlbjwvdGl0bGU+DQogICAgICAgIDxnZW9mb3JtPnZlY3Rv ciBkaWdpdGFsIGRhdGE8L2dlb2Zvcm0+DQogICAgICAgIDxvbmxpbms+aHR0cDovL2RhdGEuZnMu dXNkYS5nb3YvZ2VvZGF0YS9lZHcvZGF0YXNldHMucGhwPC9vbmxpbms+DQogICAgICA8L2NpdGVp bmZvPg0KICAgIDwvY2l0YXRpb24+DQogICAgPGRlc2NyaXB0Pg0KICAgICAgPGFic3RyYWN0PlRo ZSBDb3VudHlfR2VuIGZlYXR1cmUgY2xhc3MgaXMgYSBnZW5lcmFsaXplZCBzcGF0aWFsIHJlcHJl c2VudGF0aW9uIG9mIHRoZSBVbml0ZWQgU3RhdGVzIENvdW50aWVzIGFuZCBlcXVpdmFsZW50IGdv dmVybm1lbnRhbCB1bml0cy4gVGhlIGRhdGEgYXJlIGFuIGV4dHJhY3Qgb2YgdGhlIENlbnN1cyBj b2RlcyBhbmQgYm91bmRhcmllcyBmcm9tIHRoZSBmb2xsb3dpbmcgQ2Vuc3VzIEZUUCBzaXRlOiBm dHA6Ly9mdHAyLmNlbnN1cy5nb3YvZ2VvL3RpZ2VyL1RJR0VSMjAxNS8uIFNpbmNlIHRoZSBDZW5z dXMgZGF0YSBkbyBub3QgaW5jbHVkZSB0aGUgY29hc3RsaW5lIGRldGFpbCwgdGhlIGNvYXN0YWwg Ym91bmRhcmllcyBoYXZlIGJlZW4gaW5jbHVkZWQgdGhyb3VnaCBhIHNwYXRpYWwgZXJhc2UgdXNp bmcgdGhlIENlbnN1cyBIeWRyb2dyYXBoeSBkYXRhIGZyb20gdGhlIENlbnN1cyBGVFAgc2l0ZTog ZnRwOi8vZnRwMi5jZW5zdXMuZ292L2dlby90aWdlci9USUdFUjIwMTUvQVJFQVdBVEVSLy4gQWZ0 ZXIgZXJhc2luZyB0aGUgY29hc3RsaW5lLCB0aGUgZGF0YSB3YXMgZ2VuZXJhbGl6ZWQgdXNpbmcg dGhlIEVTUkkgU2ltcGxpZnkgUG9seWdvbiBmdW5jdGlvbi4gVGhlIENvdW50eV9HZW4gZmVhdHVy ZSBjbGFzcyBpcyBhIFVTIEZvcmVzdCBTZXJ2aWNlIFN0YW5kYXJkIFJlZmVyZW5jZSBEYXRhc2V0 IGFuZCBpcyB0aGUgcHJlZmVycmVkIHNwYXRpYWwgcmVwcmVzZW50YXRpb24gb2YgY291bnRpZXMu IFRoaXMgZmVhdHVyZSBjbGFzcyBzaG91bGQgYmUgdXNlZCBmb3Igc21hbGwtc2NhbGUgY2FydG9n cmFwaGljIHByb2R1Y3RzLiBUaGUgcHVycG9zZSBvZiB0aGUgZ2VuZXJhbGl6ZWQgQ291bnR5X0dl biBkYXRhc2V0IGlzIHRvIGltcHJvdmUgbWFwIGRpc3BsYXkgYW5kIGRyYXdpbmcgcGVyZm9ybWFu Y2UgaW4gYm90aCBBcmNHSVMgYXBwbGljYXRpb25zIGFuZCBBcmNHSVMgU2VydmVyIG1hcCBzZXJ2 aWNlcy4gVG8gc2F0aXNmeSBib3RoIHBlcmZvcm1hbmNlIGltcHJvdmVtZW50IGFuZCBnZW9tZXRy eSByZXByZXNlbnRhdGlvbiwgdGhlIGZvbGxvd2luZyBwYXJhbWV0ZXJzIGFuZCBnZW9wcm9jZXNz aW5nIG1ldGhvZCB3ZXJlIHVzZWQuIFNpbXBsaWZ5IHRoZSBpbnB1dCBmZWF0dXJlcyB1c2luZyB0 aGUgRG91Z2xhcy1QZXVja2VyIHNpbXBsaWZpY2F0aW9uIGFsZ29yaXRobSB3aXRoIGEgc3BlY2lm aWVkIG1heGltdW0gb2Zmc2V0IHRvbGVyYW5jZSBvZiAzNzUgbWV0ZXJzLiBUaGUgb3V0cHV0IGZl YXR1cmVzIHdpbGwgY29udGFpbiBhIHN1YnNldCBvZiB0aGUgb3JpZ2luYWwgaW5wdXQgdmVydGlj ZXMuIE1pbiBzY2FsZSByZWZlcnMgdG8gd2hhdCBzY2FsZSB0aGUgbGF5ZXIgdHVybnMgb2ZmIHdo ZW4gem9vbWluZyBvdXQuIE1heCBzY2FsZSByZWZlcnMgdG8gdGhlIHNjYWxlIHRoZSBsYXllciB0 dXJucyBvZmYgYXQgd2hlbiB6b29taW5nIGluLiBNaW4gc2NhbGU6IDAsIG5vIG1pbmltdW0gc2Nh bGUgc2V0LCBNYXggU2NhbGU6IDE6NDYyMjMyNS48L2Fic3RyYWN0Pg0KICAgICAgPHB1cnBvc2U+ VGhlIENvdW50eV9HZW4gZmVhdHVyZSBjbGFzcyBkZXNjcmliZXMgdGhlIGdlbmVyYWxpemVkIGxv Y2F0aW9uIGFuZCBib3VuZGFyaWVzIG9mIHRoZSBVbml0ZWQgU3RhdGVzIENvdW50aWVzIGFuZCBl cXVpdmFsZW50IGdvdmVybm1lbnRhbCB1bml0cy4gSXQgaW5jbHVkZXMgY29tbW9uIGlkZW50aWZp ZXJzIGZvciB0aGVzZSBlbnRpdGllcyBzbyB0aGlzIGRhdGEgc2V0IGNhbiBiZSB1c2VkIGluIGNv bmp1bmN0aW9uIHdpdGggb3RoZXIgZGF0YSBzZXRzIGRlc2NyaWJpbmcgY291bnRpZXMuIFRoaXMg ZmVhdHVyZSBjbGFzcyBpcyBhIFVTIEZvcmVzdCBTZXJ2aWNlIFN0YW5kYXJkIFJlZmVyZW5jZSBE YXRhc2V0IGFuZCBpcyB0aGUgcHJlZmVycmVkIHNwYXRpYWwgcmVwcmVzZW50YXRpb24gb2YgY291 bnRpZXMgZm9yIHVzZSBieSB0aGUgVVMgRm9yZXN0IFNlcnZpY2UuIFNpbmNlIGl0IGlzIGEgZ2Vu ZXJhbGl6ZWQgbGF5ZXIsIGl0IHNob3VsZCBvbmx5IGJlIHVzZWQgZm9yIHNtYWxsLXNjYWxlIGNh cnRvZ3JhcGhpYyByZXByZXNlbnRhdGlvbiBvZiBjb3VudHkgbG9jYXRpb25zLjwvcHVycG9zZT4N CiAgICA8L2Rlc2NyaXB0Pg0KICAgIDx0aW1lcGVyZD4NCiAgICAgIDx0aW1laW5mbz4NCiAgICAg ICAgPHNuZ2RhdGU+DQogICAgICAgICAgPGNhbGRhdGU+MjAxNTwvY2FsZGF0ZT4NCiAgICAgICAg PC9zbmdkYXRlPg0KICAgICAgPC90aW1laW5mbz4NCiAgICAgIDxjdXJyZW50PnB1YmxpY2F0aW9u IGRhdGU8L2N1cnJlbnQ+DQogICAgPC90aW1lcGVyZD4NCiAgICA8c3RhdHVzPg0KICAgICAgPHBy b2dyZXNzPkNvbXBsZXRlPC9wcm9ncmVzcz4NCiAgICAgIDx1cGRhdGU+QXMgbmVlZGVkPC91cGRh dGU+DQogICAgPC9zdGF0dXM+DQogICAgPHNwZG9tPg0KICAgICAgPGJvdW5kaW5nPg0KICAgICAg ICA8d2VzdGJjPi0xNzguMjI2ODE4PC93ZXN0YmM+DQogICAgICAgIDxlYXN0YmM+MTQ2LjA4MTc3 NDwvZWFzdGJjPg0KICAgICAgICA8bm9ydGhiYz43MS4zODI2OTE8L25vcnRoYmM+DQogICAgICAg IDxzb3V0aGJjPi0xNC41OTk0NjQ8L3NvdXRoYmM+DQogICAgICA8L2JvdW5kaW5nPg0KICAgIDwv c3Bkb20+DQogICAgPGtleXdvcmRzPg0KICAgICAgPHRoZW1lPg0KICAgICAgICA8dGhlbWVrdD5O b25lPC90aGVtZWt0Pg0KICAgICAgICA8dGhlbWVrZXk+VVMgQ291bnRpZXM8L3RoZW1la2V5Pg0K ICAgICAgICA8dGhlbWVrZXk+VW5pdGVkIFN0YXRlcyBjb3VudGllczwvdGhlbWVrZXk+DQogICAg ICAgIDx0aGVtZWtleT5jb3VudHk8L3RoZW1la2V5Pg0KICAgICAgPC90aGVtZT4NCiAgICAgIDx0 aGVtZT4NCiAgICAgICAgPHRoZW1la3Q+SVNPIDE5MTE1IFRvcGljIENhdGVnb3JpZXM8L3RoZW1l a3Q+DQogICAgICAgIDx0aGVtZWtleT5ib3VuZGFyaWVzPC90aGVtZWtleT4NCiAgICAgIDwvdGhl bWU+DQogICAgICA8cGxhY2U+DQogICAgICAgIDxwbGFjZWt0Pk5vbmU8L3BsYWNla3Q+DQogICAg ICAgIDxwbGFjZWtleT5Vbml0ZWQgU3RhdGVzIG9mIEFtZXJpY2E8L3BsYWNla2V5Pg0KICAgICAg PC9wbGFjZT4NCiAgICA8L2tleXdvcmRzPg0KICAgIDxhY2Njb25zdD5JbnRlbmRlZCBmb3IgaW50 ZXJuYWwgRm9yZXN0IFNlcnZpY2UgdXNlIG9yIGZvciB1c2UgYnkgYXBwbGljYXRpb25zIHdpdGgg YSBuZWVkIHRvIGRpc3BsYXkgQ291bnR5IGJvdW5kYXJpZXMgdG8gZXh0ZXJuYWwgYXVkaWVuY2Vz LjwvYWNjY29uc3Q+DQogICAgPHVzZWNvbnN0PlRoZSBVU0RBIEZvcmVzdCBTZXJ2aWNlIG1ha2Vz IG5vIHdhcnJhbnR5LCBleHByZXNzZWQgb3IgaW1wbGllZCwgaW5jbHVkaW5nIHRoZSB3YXJyYW50 aWVzIG9mIG1lcmNoYW50YWJpbGl0eSBhbmQgZml0bmVzcyBmb3IgYSBwYXJ0aWN1bGFyIHB1cnBv c2UsIG5vciBhc3N1bWVzIGFueSBsZWdhbCBsaWFiaWxpdHkgb3IgcmVzcG9uc2liaWxpdHkgZm9y IHRoZSBhY2N1cmFjeSwgcmVsaWFiaWxpdHksIGNvbXBsZXRlbmVzcyBvciB1dGlsaXR5IG9mIHRo ZXNlIGdlb3NwYXRpYWwgZGF0YSwgb3IgZm9yIHRoZSBpbXByb3BlciBvciBpbmNvcnJlY3QgdXNl IG9mIHRoZXNlIGdlb3NwYXRpYWwgZGF0YS4gIFRoZXNlIGdlb3NwYXRpYWwgZGF0YSBhbmQgcmVs YXRlZCBtYXBzIG9yIGdyYXBoaWNzIGFyZSBub3QgbGVnYWwgZG9jdW1lbnRzIGFuZCBhcmUgbm90 IGludGVuZGVkIHRvIGJlIHVzZWQgYXMgc3VjaC4gIFRoZSBkYXRhIGFuZCBtYXBzIG1heSBub3Qg YmUgdXNlZCB0byBkZXRlcm1pbmUgdGl0bGUsIG93bmVyc2hpcCwgbGVnYWwgZGVzY3JpcHRpb25z IG9yIGJvdW5kYXJpZXMsIGxlZ2FsIGp1cmlzZGljdGlvbiwgb3IgcmVzdHJpY3Rpb25zIHRoYXQg bWF5IGJlIGluIHBsYWNlIG9uIGVpdGhlciBwdWJsaWMgb3IgcHJpdmF0ZSBsYW5kLiAgTmF0dXJh bCBoYXphcmRzIG1heSBvciBtYXkgbm90IGJlIGRlcGljdGVkIG9uIHRoZSBkYXRhIGFuZCBtYXBz LCBhbmQgbGFuZCB1c2VycyBzaG91bGQgZXhlcmNpc2UgZHVlIGNhdXRpb24uICBUaGUgZGF0YSBh cmUgZHluYW1pYyBhbmQgbWF5IGNoYW5nZSBvdmVyIHRpbWUuICBUaGUgdXNlciBpcyByZXNwb25z aWJsZSB0byB2ZXJpZnkgdGhlIGxpbWl0YXRpb25zIG9mIHRoZSBnZW9zcGF0aWFsIGRhdGEgYW5k IHRvIHVzZSB0aGUgZGF0YSBhY2NvcmRpbmdseS48L3VzZWNvbnN0Pg0KICAgIDxwdGNvbnRhYz4N CiAgICAgIDxjbnRpbmZvPg0KICAgICAgICA8Y250b3JncD4NCiAgICAgICAgICA8Y250b3JnPlVT RlMgQ2hpZWYgSW5mb3JtYXRpb24gT2ZmaWNlLCBFbnRlcnByaXNlIERhdGEgV2FyZWhvdXNlPC9j bnRvcmc+DQogICAgICAgIDwvY250b3JncD4NCiAgICAgICAgPGNudGFkZHI+DQogICAgICAgICAg PGFkZHJ0eXBlPnBoeXNpY2FsPC9hZGRydHlwZT4NCiAgICAgICAgICA8Y2l0eT5XYXNoaW5ndG9u PC9jaXR5Pg0KICAgICAgICAgIDxzdGF0ZT5EQzwvc3RhdGU+DQogICAgICAgICAgPHBvc3RhbD4y MDI1MDwvcG9zdGFsPg0KICAgICAgICA8L2NudGFkZHI+DQogICAgICAgIDxjbnR2b2ljZT5QbGVh c2Ugc2VuZCBhbiBlLW1haWwgdG8gdGhlIGFkZHJlc3MgYmVsb3cuPC9jbnR2b2ljZT4NCiAgICAg ICAgPGNudGVtYWlsPmRhdGFAZnMuZmVkLnVzPC9jbnRlbWFpbD4NCiAgICAgIDwvY250aW5mbz4N CiAgICA8L3B0Y29udGFjPg0KICAgIDxuYXRpdmU+TWljcm9zb2Z0IFdpbmRvd3MgU2VydmVyIDIw MDggUjIgVmVyc2lvbiA2LjEgKEJ1aWxkIDc2MDEpIFNlcnZpY2UgUGFjayAxOyBFc3JpIEFyY0dJ UyAxMC4yLjIuMzYwMjwvbmF0aXZlPg0KICA8L2lkaW5mbz4NCiAgPGRhdGFxdWFsPg0KICAgIDxs b2dpYz5TcGF0aWFsIGRhdGEgd2FzIHZpc3VhbGx5IGluc3BlY3RlZCB0byBlbnN1cmUgdGhhdCBu byBpbnZhbGlkIGdhcHMgb3IgcG9seWdvbiBvdmVybGFwcyBleGlzdCB3aXRoaW4gdGhlIGRhdGFz ZXQuIFRvcG9sb2dpY2FsIHRlc3RzIHVzaW5nIEVzcmkgQXJjR0lTIHdlcmUgYWxzbyBkb25lIHRv IGVuc3VyZSB0aGUgc2FtZS4gRm9yIGNvdW50aWVzIHdpdGggbXVsdGktcG9seWdvbiBmZWF0dXJl cyBvbmx5IG9uZSBhdHRyaWJ1dGUgcmVjb3JkIHdpbGwgZXhpc3QuIFRoZSBlbnRpcmUgY29hc3Rs aW5lIHdhcyB2aXN1YWxseSBpbnNwZWN0ZWQgdG8gdmVyaWZ5IGFic2VuY2Ugb2Ygc2xpdmVycywg YW5kIHRob3NlIGZvdW5kIHdlcmUgZGVsZXRlZC4gQXR0cmlidXRlIGRhdGEgd2FzIGFsc28gdmlz dWFsbHkgaW5zcGVjdGVkIGZvciBjb21wbGV0ZW5lc3MuIENvdW50eV9HZW4gYXR0cmlidXRlIHNj aGVtYSB3YXMgY2hlY2tlZCB0byBlbnN1cmUgY29ycmVjdCBVUyBGb3Jlc3QgU2VydmljZSBzY2hl bWEgbmFtZXMsIGRhdGEgdHlwZXMsIGRhdGEgbGVuZ3RoLCBwcmVjaXNpb24sIGFuZCBzY2FsZSB3 ZXJlIHVzZWQuPC9sb2dpYz4NCiAgICA8Y29tcGxldGU+IEFsbCBmZWF0dXJlcyBmcm9tIHRoZSBD ZW5zdXMgQnVyZWF1IGNvdW50eSBkYXRhc2V0IHdlcmUgaW5jbHVkZWQgaW4gdGhlIENvdW50eV9H ZW4gZGF0YXNldC4gSG93ZXZlciwgZHVlIHRvIHRoZSBpbmNvcnBvcmF0aW9uIG9mIHRoZSBjb2Fz dGxpbmUgYW5kIHRoZSBzdWJzZXF1ZW50IGdlbmVyYWxpemF0aW9uIG9mIHRoZSBwb2x5Z29ucywg dGhlIGFyZWEgb2Ygc29tZSBjb3VudGllcyB3aWxsIGJlIHNtYWxsZXIgdGhhbiB0aGUgb3JpZ2lu YWwgQ2Vuc3VzIEJ1cmVhdSBjb3VudHkgZGF0YXNldC4gVGhlIGZvbGxvd2luZyBDZW5zdXMgQnVy ZWF1IENvdW50eSBhdHRyaWJ1dGVzOiBMU0FELCBNVEZDQywgQ1NBRlAsIENCU0FGUCwgTUVURElW RlAsIEZVTkNTVEFULCBBTEFORCwgQVdBVEVSLCBJTlRQVExBVCwgYW5kIElOVFBUTE9OIHRoYXQg YXJlIG5vdCBwYXJ0IG9mIHRoZSBGb3Jlc3QgU2VydmljZSBDb3VudHkgc2NoZW1hIHdlcmUgZHJv cHBlZC48L2NvbXBsZXRlPg0KICAgIDxwb3NhY2M+DQogICAgICA8aG9yaXpwYT4NCiAgICAgICAg PGhvcml6cGFyPkdlbmVyYWxpemVkIGRhdGEgd2l0aCBhIHRhcmdldCBzY2FsZSBvZiAxOjc0MCww MDAuIENvb3JkaW5hdGVzIGluIHRoZSBkYXRhIGhhdmUgc2l4IGltcGxpZWQgZGVjaW1hbCBwbGFj ZXMsIGJ1dCB0aGUgcG9zaXRpb25hbCBhY2N1cmFjeSBvZiB0aGVzZSBjb29yZGluYXRlcyBpcyBu b3QgYXMgZ3JlYXQgYXMgdGhlIHNpeCBkZWNpbWFsIHBsYWNlcyBzdWdnZXN0LjwvaG9yaXpwYXI+ DQogICAgICA8L2hvcml6cGE+DQogICAgPC9wb3NhY2M+DQogICAgPGxpbmVhZ2U+DQogICAgICA8 cHJvY3N0ZXA+DQogICAgICAgIDxwcm9jZGVzYz5HZW5lcmFsaXplZCBjb3VudHkgYm91bmRhcmll cyBhcmUgY3JlYXRlZCB0aHJvdWdoIGEgc2V2ZW4gcGFydCBwcm9jZXNzLiAgRmlyc3QsIHRoZSBj b3VudHkgZGF0YXNldCBpcyBkb3dubG9hZGVkIGZyb20gdGhlIENlbnN1cyBCdXJlYXUgRlRQIHNp dGUgYXQgZnRwOi8vZnRwMi5jZW5zdXMuZ292L2dlby90aWdlci9USUdFUjIwMTUvLiBTZWNvbmQs IEVzcmkgJ0FkZCBmaWVsZCcgYW5kICdQb3B1bGF0ZSBmaWVsZCcgdG9vbHMgYXJlIHJ1biBpbiBv cmRlciB0byBjaGFuZ2UgYXR0cmlidXRlIG5hbWVzIGZyb20gQ2Vuc3VzIEJ1cmVhdSBhdHRyaWJ1 dGUgc2NoZW1hIHRvIHRoYXQgb2YgRm9yZXN0IFNlcnZpY2UuICBUaGVuIHRoZSBoeWRyb2dyYXBo eSBkYXRhc2V0IGZvciBlYWNoIGNvdW50eSBpcyBkb3dubG9hZGVkIGZyb20gQ2Vuc3VzIEJ1cmVh dSBGVFAgc2l0ZSBhdCBmdHA6Ly9mdHAyLmNlbnN1cy5nb3YvZ2VvL3RpZ2VyL1RJR0VSMjAxNS9B UkVBV0FURVIvLiBBbGwgZGF0YXNldHMgYXJlIG1lcmdlZCwgYW5kIGZlYXR1cmVzIHRoYXQgd2ls bCBmb3JtIHRoZSBjb2FzdGxpbmUgYXJlIHNlbGVjdGVkLiAgTmV4dCwgY29hc3RsaW5lIGlzIGVy YXNlZCBmcm9tIHRoZSBjb3VudHkgZGF0YXNldCB0byBpbmNvcnBvcmF0ZSBjb2FzdGxpbmUgZGV0 YWlsLiAgRmluYWxseSwgdGhlIGVyYXNlZCBjb3VudHkgZGF0YXNldCBpcyBnZW5lcmFsaXplZCB1 c2luZyBFc3JpJ3MgJ1NpbXBsaWZ5IFBvbHlnb24nIHB5dGhvbiBmdW5jdGlvbiB3aXRoIGEgMzc1 IG1ldGVycyBzaW1wbGlmaWNhdGlvbiB0b2xlcmFuY2UgcGFyYW1ldGVyOyB0aGUgdHdvIGZpZWxk cyBhdXRvbWF0aWNhbGx5IGdlbmVyYXRlZCBieSB0aGUgJ1NpbXBsaWZ5IFBvbHlnb24nIHRvb2wg YXJlIGRyb3BwZWQuPC9wcm9jZGVzYz4NCiAgICAgICAgPHByb2NkYXRlPjIwMTY8L3Byb2NkYXRl Pg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICA8L2xpbmVhZ2U+DQogIDwvZGF0YXF1YWw+DQogIDxz cGRvaW5mbz4NCiAgICA8ZGlyZWN0PlZlY3RvcjwvZGlyZWN0Pg0KICA8L3NwZG9pbmZvPg0KICA8 c3ByZWY+DQogICAgPGhvcml6c3lzPg0KICAgICAgPGdlb2dyYXBoPg0KICAgICAgICA8bGF0cmVz PjguOTgzMTUyODQxMTk1MjFlLTAwOTwvbGF0cmVzPg0KICAgICAgICA8bG9uZ3Jlcz44Ljk4MzE1 Mjg0MTE5NTIxZS0wMDk8L2xvbmdyZXM+DQogICAgICAgIDxnZW9ndW5pdD5EZWNpbWFsIERlZ3Jl ZXM8L2dlb2d1bml0Pg0KICAgICAgPC9nZW9ncmFwaD4NCiAgICAgIDxnZW9kZXRpYz4NCiAgICAg ICAgPGhvcml6ZG4+RCBOb3J0aCBBbWVyaWNhbiAxOTgzPC9ob3JpemRuPg0KICAgICAgICA8ZWxs aXBzPkdSUyAxOTgwPC9lbGxpcHM+DQogICAgICAgIDxzZW1pYXhpcz42Mzc4MTM3LjA8L3NlbWlh eGlzPg0KICAgICAgICA8ZGVuZmxhdD4yOTguMjU3MjIyMTAxPC9kZW5mbGF0Pg0KICAgICAgPC9n ZW9kZXRpYz4NCiAgICA8L2hvcml6c3lzPg0KICA8L3NwcmVmPg0KICA8ZWFpbmZvPg0KICAgIDxk ZXRhaWxlZCBOYW1lPSJTX1VTQS5Db3VudHlfR2VuIj4NCiAgICAgIDxlbnR0eXA+DQogICAgICAg IDxlbnR0eXBsPlNfVVNBLkNvdW50eV9HZW48L2VudHR5cGw+DQogICAgICAgIDxlbnR0eXBkPkEg Y29sbGVjdGlvbiBvZiBnZW9ncmFwaGljIGZlYXR1cmVzIHdpdGggdGhlIHNhbWUgZ2VvbWV0cnkg dHlwZSAoc3VjaCBhcyBwb2ludCwgbGluZSwgb3IgcG9seWdvbiksIHRoZSBzYW1lIGF0dHJpYnV0 ZXMsIGFuZCB0aGUgc2FtZSBzcGF0aWFsIHJlZmVyZW5jZS48L2VudHR5cGQ+DQogICAgICAgIDxl bnR0eXBkcz5odHRwOi8vc3VwcG9ydC5lc3JpLmNvbS9lbi9rbm93bGVkZ2ViYXNlL0dJU0RpY3Rp b25hcnkvdGVybS9mZWF0dXJlJTIwY2xhc3M8L2VudHR5cGRzPg0KICAgICAgICA8ZW50dHlwdCBT eW5jPSJUUlVFIj5GZWF0dXJlIENsYXNzPC9lbnR0eXB0Pg0KICAgICAgICA8ZW50dHlwYyBTeW5j PSJUUlVFIj4zMjMzPC9lbnR0eXBjPg0KICAgICAgPC9lbnR0eXA+DQogICAgICA8YXR0cj4NCiAg ICAgICAgPGF0dHJsYWJsPk9CSkVDVElEPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+SW50 ZXJuYWwgZmVhdHVyZSBudW1iZXIuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RVNSSTwv YXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5PSUQ8L2F0dHJ0eXBlPg0K ICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+NDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHBy ZWNpcyBTeW5jPSJUUlVFIj4xMDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJU UlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlNl cXVlbnRpYWwgdW5pcXVlIHdob2xlIG51bWJlcnMgdGhhdCBhcmUgYXV0b21hdGljYWxseSBnZW5l cmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3lu Yz0iVFJVRSI+T0JKRUNUSUQ8L2F0dGFsaWFzPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+ DQogICAgICAgIDxhdHRybGFibD5TVEFURUNPREU8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRl Zj4yMDEwIENlbnN1cyBGZWRlcmFsIEluZm9ybWF0aW9uIFByb2Nlc3NpbmcgU3RhbmRhcmRzIChG SVBTKSBjb2RlIGZvciB0aGUgc3RhdGUgaW4gd2hpY2ggdGhlIGNvdW50eSBvY2N1cnMuPC9hdHRy ZGVmPg0KICAgICAgICA8YXR0cmRlZnM+QU5TSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlw ZSBTeW5jPSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0i VFJVRSI+MjwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHBy ZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAg ICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAgICAgICAgICAgPGNvZGVzZXRu Pkxpc3Qgb2YgVS5TLiBTdGF0ZSBDb2RlczwvY29kZXNldG4+DQogICAgICAgICAgICA8Y29kZXNl dHM+aHR0cDovL3d3dy5jZW5zdXMuZ292L2dlby9yZWZlcmVuY2UvYW5zaV9zdGF0ZXRhYmxlcy5o dG1sPC9jb2Rlc2V0cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0dHJkb212 Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+U1RBVEVDT0RFPC9hdHRhbGlhcz4NCiAg ICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+Q09VTlRZQ09ERTwv YXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPjIwMTAgQ2Vuc3VzIEZlZGVyYWwgSW5mb3JtYXRp b24gUHJvY2Vzc2luZyBTdGFuZGFyZHMgKEZJUFMpIGNvZGUgZm9yIHRoZSBjb3VudHkuPC9hdHRy ZGVmPg0KICAgICAgICA8YXR0cmRlZnM+QU5TSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlw ZSBTeW5jPSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0i VFJVRSI+MzwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHBy ZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAg ICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAgICAgICAgICAgPGNvZGVzZXRu Pkxpc3Qgb2YgVS5TLiBDb3VudHkgQ29kZXM8L2NvZGVzZXRuPg0KICAgICAgICAgICAgPGNvZGVz ZXRzPmh0dHBzOi8vd3d3LmNlbnN1cy5nb3YvZ2VvL3JlZmVyZW5jZS9jb2Rlcy9jb3UuaHRtbDwv Y29kZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAg ICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPkNPVU5UWUNPREU8L2F0dGFsaWFzPg0KICAgICAg PC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5HTklTX0lEPC9hdHRybGFi bD4NCiAgICAgICAgPGF0dHJkZWY+VGhlIEdlb2dyYXBoaWMgTmFtZXMgSW5mb3JtYXRpb24gU3lz dGVtcyAoR05JUykgY29kZSBmb3IgdGhpcyBjb3VudHkuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0 cmRlZnM+R2VvZ3JhcGhpYyBOYW1lcyBJbmZvcm1hdGlvbiBTeXN0ZW08L2F0dHJkZWZzPg0KICAg ICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0 dHdpZHRoIFN5bmM9IlRSVUUiPjg8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0i VFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRz Y2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDxjb2Rlc2V0ZD4NCiAgICAgICAg ICAgIDxjb2Rlc2V0bj5MaXN0IG9mIEdlb2dyYXBoaWMgTmFtZXMgSW5mb3JtYXRpb24gU3lzdGVt IENvZGVzPC9jb2Rlc2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz5odHRwOi8vZ2VvbmFtZXMu dXNncy5nb3YvPC9jb2Rlc2V0cz4NCiAgICAgICAgICA8L2NvZGVzZXRkPg0KICAgICAgICA8L2F0 dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+R05JU19JRDwvYXR0YWxpYXM+ DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPlNUX0NOVFlf Q09ERTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkNvdW50eSBpZGVudGlmaWVyLCBhIGNv bmNhdGVuYXRpb24gb2Ygc3RhdGUgRmVkZXJhbCBJbmZvcm1hdGlvbiBQcm9jZXNzaW5nIFN0YW5k YXJkcyAoRklQUykgY29kZSBhbmQgdGhlIGNvdW50eSBGSVBTIGNvZGU8L2F0dHJkZWY+DQogICAg ICAgIDxhdHRyZGVmcz5BTlNJPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRS VUUiPlN0cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj41PC9h dHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAg ICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9t dj4NCiAgICAgICAgICA8dWRvbT5UaGUgYXR0cmlidXRlIGlzIGEgY29uY2F0ZW5hdGlvbiBvZiB0 aGUgc3RhdGUgRklQUyBjb2RlIGZvbGxvd2VkIGJ5IHRoZSBjb3VudHkgRklQUyBjb2RlLiBObyBz cGFjZXMgYXJlIGFsbG93ZWQgYmV0d2VlbiB0aGUgdHdvIGNvZGVzLiBUaGUgU3RhdGUgRklQUyBj b2RlIGlzIHRha2VuIGZyb20gIk5hdGlvbmFsIFN0YW5kYXJkIENvZGVzIChBTlNJIElOQ0lUUyAz OC0yMDA5KSwgRmVkZXJhbCBJbmZvcm1hdGlvbiBQcm9jZXNzaW5nIFNlcmllcyAoRklQUykgLSBT dGF0ZXMiLiBUaGUgY291bnR5IEZJUFMgY29kZSBpcyB0YWtlbiBmcm9tICJOYXRpb25hbCBTdGFu ZGFyZCBDb2RlcyAoQU5TSSBJTkNJVFMgMzEtMjAwOSksIEZlZGVyYWwgSW5mb3JtYXRpb24gUHJv Y2Vzc2luZyBTZXJpZXMgKEZJUFMpIC0gQ291bnRpZXMvQ291bnR5IEVxdWl2YWxlbnRzIi48L3Vk b20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5T VF9DTlRZX0NPREU8L2F0dGFsaWFzPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibD5DT1VOVFlOQU1FPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhl IG5hbWUgb2YgdGhlIGNvdW50eSBmcm9tIHRoZSAyMDEwIENlbnN1cyAgKGUuZy4gRmFpcmZheCk8 L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5VUyBDZW5zdXM8L2F0dHJkZWZzPg0KICAgICAg ICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdp ZHRoIFN5bmM9IlRSVUUiPjEwMDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJU UlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNj YWxlPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPGNvZGVzZXRkPg0KICAgICAgICAg ICAgPGNvZGVzZXRuPkxpc3Qgb2YgVS5TLiBDb3VudHkgTmFtZXM8L2NvZGVzZXRuPg0KICAgICAg ICAgICAgPGNvZGVzZXRzPmh0dHBzOi8vd3d3LmNlbnN1cy5nb3YvZ2VvL3JlZmVyZW5jZS9jb2Rl cy9jb3UuaHRtbDwvY29kZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9h dHRyZG9tdj4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPkNPVU5UWU5BTUU8L2F0dGFs aWFzPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5MRUdB TF9OQU1FPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhlIGxlZ2FsIG5hbWUgb2YgdGhl IGNvdW50eS4gIFRoaXMgaXMgY29tcG9zZWQgb2YgdGhlIDIwMTAgQ2Vuc3VzIG5hbWUgYW5kIHRo ZSB0cmFuc2xhdGVkIGxlZ2FsL3N0YXRpc3RpY2FsIGFyZWEgZGVzY3JpcHRpb24gY29kZSBmb3Ig Y291bnR5IChlLmcuIEZhaXJmYXggQ291bnR5KTwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZz PlVTIENlbnN1czwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJp bmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MTAwPC9hdHR3aWR0 aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8 YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAg ICAgICAgICA8dWRvbT5UaGUgYXR0cmlidXRlIGlzIGEgY29uY2F0ZW5hdGlvbiBvZiB0aGUgY291 bnR5IG5hbWUgZm9sbG93ZWQgYnkgdGhlIHRyYW5zbGF0ZWQgbGVnYWwvc3RhdGlzdGljYWwgYXJl YSBkZXNjcmlwdGlvbi4gTm8gc3BhY2VzIGFyZSBhbGxvd2VkIGJldHdlZW4gdGhlIHR3byBjb2Rl cy48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJU UlVFIj5MRUdBTF9OQU1FPC9hdHRhbGlhcz4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0K ICAgICAgICA8YXR0cmxhYmw+Q0xBU1NDT0RFPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+ MjAxMCBDZW5zdXMgRmVkZXJhbCBJbmZvcm1hdGlvbiBQcm9jZXNzaW5nIFN0YW5kYXJkcyAoRklQ UykgNTUgY2xhc3MgY29kZSBmb3IgdGhlIGNvdW50eS48L2F0dHJkZWY+DQogICAgICAgIDxhdHRy ZGVmcz5VUyBDZW5zdXM8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+ U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjI8L2F0dHdp ZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAg IDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0K ICAgICAgICAgIDxjb2Rlc2V0ZD4NCiAgICAgICAgICAgIDxjb2Rlc2V0bj5MaXN0IG9mIFUuUy4g Q291bnR5IENsYXNzIENvZGVzPC9jb2Rlc2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz5odHRw czovL3d3dy5jZW5zdXMuZ292L2dlby9yZWZlcmVuY2UvY2xhc3MuaHRtbDwvY29kZXNldHM+DQog ICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgICAgPGF0dGFs aWFzIFN5bmM9IlRSVUUiPkNMQVNTQ09ERTwvYXR0YWxpYXM+DQogICAgICA8L2F0dHI+DQogICAg ICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkxFR0FMX0RFU0M8L2F0dHJsYWJsPg0KICAgICAg ICA8YXR0cmRlZj4yMDEwIENlbnN1cyBsZWdhbC9zdGF0aXN0aWNhbCBhcmVhIGRlc2NyaXB0aW9u IGNvZGUgZm9yIGNvdW50eTwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPlVTIENlbnN1czwv YXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBl Pg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+NTA8L2F0dHdpZHRoPg0KICAgICAgICA8 YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5j PSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9t PlVTIENlbnN1cyBsaXN0IG9mIGNvdW50eSBhbmQgZXF1aXZhbGVudCBnb3Zlcm5tZW50YWwgdW5p dCBkZXNpZ25hdGlvbnMgKGUuZy4gIkNvdW50eSIsICJNdW5pY2lwaW8iLCAiSXNsYW5kIik8L3Vk b20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5M RUdBTF9ERVNDPC9hdHRhbGlhcz4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAg ICA8YXR0cmxhYmw+Q0xBU1NDT0RFX0RFU0M8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5E ZXNjcmlwdGlvbiBvZiB0aGUgQ291bnR5IENsYXNzIEZJUFMgNTUgQ29kZXM8L2F0dHJkZWY+DQog ICAgICAgIDxhdHRyZGVmcz5VUyBDZW5zdXM8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cnR5cGUg U3luYz0iVFJVRSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRS VUUiPjIwMDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHBy ZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAg ICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+VVMgQ2Vuc3VzIGxpc3Qgb2YgY291bnR5IGFu ZCBlcXVpdmFsZW50IGdvdmVybm1lbnRhbCB1bml0IGRlc2lnbmF0aW9ucyAoZS5nLiAiQW4gYWN0 aXZlIGNvdW50eSBvciBlcXVpdmFsZW50IGZlYXR1cmUuIiBvciAiQW4gaW5hY3RpdmUgY291bnR5 IG9yIGVxdWl2YWxlbnQgZmVhdHVyZS4iKTwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAg ICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPkNMQVNTQ09ERV9ERVNDPC9hdHRhbGlhcz4NCiAg ICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U1RBVEVfUE9TVEFM X0FCQlI8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5Vbml0ZWQgU3RhdGVzIFBvc3RhbCBT ZXJ2aWNlIHN0YXRlIGFiYnJldmlhdGlvbjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPlVT IFBvc3RhbCBTZXJ2aWNlPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUi PlN0cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj4yPC9hdHR3 aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAg ICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4N CiAgICAgICAgICA8Y29kZXNldGQ+DQogICAgICAgICAgICA8Y29kZXNldG4+TGlzdCBvZiBVLlMu IFN0YXRlIEFiYnJldmlhdGlvbnM8L2NvZGVzZXRuPg0KICAgICAgICAgICAgPGNvZGVzZXRzPmh0 dHA6Ly9wZS51c3BzLmdvdi90ZXh0L3B1YjI4LzI4YXBiLmh0bTwvY29kZXNldHM+DQogICAgICAg ICAgPC9jb2Rlc2V0ZD4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgICAgPGF0dGFsaWFzIFN5 bmM9IlRSVUUiPlNUQVRFX1BPU1RBTF9BQkJSPC9hdHRhbGlhcz4NCiAgICAgIDwvYXR0cj4NCiAg ICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+R0lTX0FDUkVTPC9hdHRybGFibD4NCiAgICAg ICAgPGF0dHJkZWY+VGhlIGFyZWEgb2YgdGhlIGZlYXR1cmUgaW4gYWNyZXMsIGNhbGN1bGF0ZWQg aW4gTm9ydGggQW1lcmljYW4gQWxiZXJzIEVxdWFsIEFyZWEgQ29uaWMgcHJvamVjdGlvbiwgTm9y dGggQW1lcmljYW4gRGF0dW0gMTk4MyAoTkFEODMpLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJk ZWZzPlVTIEZvcmVzdCBTZXJ2aWNlPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9 IlRSVUUiPkRvdWJsZTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj44 PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjM4PC9hdHByZWNpcz4N CiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjg8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0 cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9zaXRpdmUgbnVtYmVyczwvdWRvbT4NCiAgICAgICAg PC9hdHRyZG9tdj4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPkdJU19BQ1JFUzwvYXR0 YWxpYXM+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPlNU QVRFTkFNRTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPjIwMTAgQ2Vuc3VzIHN0YXRlIG5h bWUgaW4gd2hpY2ggdGhpcyBjb3VudHkgb2NjdXJzLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJk ZWZzPlVTIENlbnN1czwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5T dHJpbmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MTAwPC9hdHR3 aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAg ICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4N CiAgICAgICAgICA8Y29kZXNldGQ+DQogICAgICAgICAgICA8Y29kZXNldG4+TGlzdCBvZiBVLlMu IFN0YXRlIE5hbWVzPC9jb2Rlc2V0bj4NCiAgICAgICAgICAgIDxjb2Rlc2V0cz5odHRwOi8vd3d3 LmNlbnN1cy5nb3YvZ2VvL3JlZmVyZW5jZS9hbnNpX3N0YXRldGFibGVzLmh0bWw8L2NvZGVzZXRz Pg0KICAgICAgICAgIDwvY29kZXNldGQ+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICAgIDxh dHRhbGlhcyBTeW5jPSJUUlVFIj5TVEFURU5BTUU8L2F0dGFsaWFzPg0KICAgICAgPC9hdHRyPg0K ICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TSEFQRTwvYXR0cmxhYmw+DQogICAgICAg IDxhdHRyZGVmPkZlYXR1cmUgZ2VvbWV0cnkuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+ RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5HZW9tZXRyeTwv YXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40PC9hdHR3aWR0aD4NCiAg ICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2Nh bGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAg ICA8dWRvbT5Db29yZGluYXRlcyBkZWZpbmluZyB0aGUgZmVhdHVyZXMuPC91ZG9tPg0KICAgICAg ICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+U2hhcGU8L2F0dGFs aWFzPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TSEFQ RS5BUkVBPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+Tm90IFVzZWQsIFNETyBHZW9tZXRy eS4gQXJlYSBvZiBmZWF0dXJlIGluIGludGVybmFsIHVuaXRzIHNxdWFyZWQuPC9hdHRyZGVmPg0K ICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5j PSJUUlVFIj5Eb3VibGU8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+ MDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4N CiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0 cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9zaXRpdmUgcmVhbCBudW1iZXJzIHRoYXQgYXJlIGF1 dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAg ICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPlNIQVBFLkFSRUE8L2F0dGFsaWFzPg0KICAgICAgPC9h dHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TSEFQRS5MRU48L2F0dHJsYWJs Pg0KICAgICAgICA8YXR0cmRlZj5Ob3QgdXNlZCwgU0RPIGdlb21ldHJ5LiBMZW5ndGggb2YgZmVh dHVyZSBpbiBpbnRlcm5hbCB1bml0cy48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5FU1JJ PC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPkRvdWJsZTwvYXR0cnR5 cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj4wPC9hdHR3aWR0aD4NCiAgICAgICAg PGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3lu Yz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRv bT5Qb3NpdGl2ZSByZWFsIG51bWJlcnMgdGhhdCBhcmUgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQu PC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJV RSI+U0hBUEUuTEVOPC9hdHRhbGlhcz4NCiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0K ICA8L2VhaW5mbz4NCiAgPGRpc3RpbmZvPg0KICAgIDxkaXN0cmliPg0KICAgICAgPGNudGluZm8+ DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+VVNGUyBDaGllZiBJbmZvcm1h dGlvbiBPZmZpY2UsIEVudGVycHJpc2UgRGF0YSBXYXJlaG91c2U8L2NudG9yZz4NCiAgICAgICAg PC9jbnRvcmdwPg0KICAgICAgICA8Y250YWRkcj4NCiAgICAgICAgICA8YWRkcnR5cGU+cGh5c2lj YWw8L2FkZHJ0eXBlPg0KICAgICAgICAgIDxjaXR5Pldhc2hpbmd0b248L2NpdHk+DQogICAgICAg ICAgPHN0YXRlPkRDPC9zdGF0ZT4NCiAgICAgICAgICA8cG9zdGFsPjIwMjUwPC9wb3N0YWw+DQog ICAgICAgIDwvY250YWRkcj4NCiAgICAgICAgPGNudHZvaWNlPlBsZWFzZSBzZW5kIGFuIGUtbWFp bCB0byB0aGUgYWRkcmVzcyBiZWxvdy48L2NudHZvaWNlPg0KICAgICAgICA8Y250ZW1haWw+ZGF0 YUBmcy5mZWQudXM8L2NudGVtYWlsPg0KICAgICAgPC9jbnRpbmZvPg0KICAgIDwvZGlzdHJpYj4N CiAgICA8ZGlzdGxpYWI+VGhlIFVTREEgRm9yZXN0IFNlcnZpY2UgbWFrZXMgbm8gd2FycmFudHks IGV4cHJlc3NlZCBvciBpbXBsaWVkLCBpbmNsdWRpbmcgdGhlIHdhcnJhbnRpZXMgb2YgbWVyY2hh bnRhYmlsaXR5IGFuZCBmaXRuZXNzIGZvciBhIHBhcnRpY3VsYXIgcHVycG9zZSwgbm9yIGFzc3Vt ZXMgYW55IGxlZ2FsIGxpYWJpbGl0eSBvciByZXNwb25zaWJpbGl0eSBmb3IgdGhlIGFjY3VyYWN5 LCByZWxpYWJpbGl0eSwgY29tcGxldGVuZXNzIG9yIHV0aWxpdHkgb2YgdGhlc2UgZ2Vvc3BhdGlh bCBkYXRhLCBvciBmb3IgdGhlIGltcHJvcGVyIG9yIGluY29ycmVjdCB1c2Ugb2YgdGhlc2UgZ2Vv c3BhdGlhbCBkYXRhLiAgVGhlc2UgZ2Vvc3BhdGlhbCBkYXRhIGFuZCByZWxhdGVkIG1hcHMgb3Ig Z3JhcGhpY3MgYXJlIG5vdCBsZWdhbCBkb2N1bWVudHMgYW5kIGFyZSBub3QgaW50ZW5kZWQgdG8g YmUgdXNlZCBhcyBzdWNoLiAgVGhlIGRhdGEgYW5kIG1hcHMgbWF5IG5vdCBiZSB1c2VkIHRvIGRl dGVybWluZSB0aXRsZSwgb3duZXJzaGlwLCBsZWdhbCBkZXNjcmlwdGlvbnMgb3IgYm91bmRhcmll cywgbGVnYWwganVyaXNkaWN0aW9uLCBvciByZXN0cmljdGlvbnMgdGhhdCBtYXkgYmUgaW4gcGxh Y2Ugb24gZWl0aGVyIHB1YmxpYyBvciBwcml2YXRlIGxhbmQuICBOYXR1cmFsIGhhemFyZHMgbWF5 IG9yIG1heSBub3QgYmUgZGVwaWN0ZWQgb24gdGhlIGRhdGEgYW5kIG1hcHMsIGFuZCBsYW5kIHVz ZXJzIHNob3VsZCBleGVyY2lzZSBkdWUgY2F1dGlvbi4gICBUaGUgZGF0YSBhcmUgZHluYW1pYyBh bmQgbWF5IGNoYW5nZSBvdmVyIHRpbWUuICBUaGUgdXNlciBpcyByZXNwb25zaWJsZSB0byB2ZXJp ZnkgdGhlIGxpbWl0YXRpb25zIG9mIHRoZSBnZW9zcGF0aWFsIGRhdGEgYW5kIHRvIHVzZSB0aGUg ZGF0YSBhY2NvcmRpbmdseS48L2Rpc3RsaWFiPg0KICA8L2Rpc3RpbmZvPg0KICA8bWV0YWluZm8+ DQogICAgPG1ldGQ+MjAxNzAxMTA8L21ldGQ+DQogICAgPG1ldGM+DQogICAgICA8Y250aW5mbz4N CiAgICAgICAgPGNudG9yZ3A+DQogICAgICAgICAgPGNudG9yZz5VU0ZTIENoaWVmIEluZm9ybWF0 aW9uIE9mZmljZSwgRW50ZXJwcmlzZSBEYXRhIFdhcmVob3VzZTwvY250b3JnPg0KICAgICAgICA8 L2NudG9yZ3A+DQogICAgICAgIDxjbnRhZGRyPg0KICAgICAgICAgIDxhZGRydHlwZT5waHlzaWNh bDwvYWRkcnR5cGU+DQogICAgICAgICAgPGNpdHk+V2FzaGluZ3RvbjwvY2l0eT4NCiAgICAgICAg ICA8c3RhdGU+REM8L3N0YXRlPg0KICAgICAgICAgIDxwb3N0YWw+MjAyNTA8L3Bvc3RhbD4NCiAg ICAgICAgPC9jbnRhZGRyPg0KICAgICAgICA8Y250dm9pY2U+UGxlYXNlIHNlbmQgYW4gZS1tYWls IHRvIHRoZSBhZGRyZXNzIGJlbG93LjwvY250dm9pY2U+DQogICAgICAgIDxjbnRlbWFpbD5kYXRh QGZzLmZlZC51czwvY250ZW1haWw+DQogICAgICA8L2NudGluZm8+DQogICAgPC9tZXRjPg0KICAg IDxtZXRzdGRuPkZHREMgQ29udGVudCBTdGFuZGFyZCBmb3IgRGlnaXRhbCBHZW9zcGF0aWFsIE1l dGFkYXRhPC9tZXRzdGRuPg0KICAgIDxtZXRzdGR2PkZHREMtU1RELTAwMS0xOTk4PC9tZXRzdGR2 Pg0KICAgIDxtZXR0Yz5sb2NhbCB0aW1lPC9tZXR0Yz4NCiAgPC9tZXRhaW5mbz4NCiAgPEVzcmk+ DQogICAgPFN5bmNEYXRlPjIwMTcwMTEyPC9TeW5jRGF0ZT4NCiAgICA8U3luY1RpbWU+MDk1MDU4 MDA8L1N5bmNUaW1lPg0KICAgIDxNb2REYXRlPjIwMTcwMTEyPC9Nb2REYXRlPg0KICAgIDxNb2RU aW1lPjA5NTA1ODAwPC9Nb2RUaW1lPg0KICA8L0Vzcmk+DQo8L21ldGFkYXRhPg== dataset EPSG 6.5(3.0.1) 3233