U.S. Forest Service Automated Lands Program (ALP) 20151227 063056 S_USA.WildernessStatus vector digital data http://data.fs.usda.gov/geodata/edw/datasets.php A boundary of an area designation that comprises all or a portion of a National Wilderness in the National Wilderness Preservation System. Each area designation is characterized by a date, boundary status, and authority and may be just one of several designations that comprise a single National Wilderness. This data is intended for read-only use. The purpose of the data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. 20151227 publication date Complete Weekly -139.640670 -65.770810 59.999703 18.248406 none Wilderness Status NFS Lands Land Status USDA Forest Service Wilderness Name ALP Land Dataset ISO 19115 Topic Categories boundaries None 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 Microsoft Windows Server 2008 R2 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959 The Regional Land Status personnel are responsible for their local data stewardship and maintenance. The overall collection nationwide consists of 100% attribute accuracy based on currentness and completeness. Quality control measures taken: this feature class is populated by an automated translation process from the source feature class that is edited and maintained by the data stewards. Only stewards with the proper role grants can edit the data. The application used for editing has built in controls to only allow valid geometry and domains to control attribute integrity. This theme is current to date of publication. Generally the source information used to record spatial locations are from: 1) on-screen digitizing with a georeferenced topographic or image background; or 2) GPS field collected positions. This data was published using Feature Manipulation Engine Software. The spatial features were extracted from the transactional database, manipulated to meet the desired output format and published to the target feature class. This data was migrated from the CDW. The spatial features were projected and imported into the target feature class. 20151227 Vector Simple FALSE 0 TRUE FALSE 8.9900000000000004e-008 8.9900000000000004e-008 Decimal Degrees D North American 1983 GRS 1980 6378137.0 298.257222101 Bucks_Lake_Wilderness A collection of geographic features with the same geometry type (such as point, line, or polygon), the same attributes, and the same spatial reference. http://support.esri.com/en/knowledgebase/GISDictionary/term/feature%20class Feature Class 0 OBJECTID Internal feature number. ESRI OID 4 0 0 Sequential unique whole numbers that are automatically generated. OBJECTID WILDERNESSSTATUSID Unique identifier generated by Oracle sequence or SYS_GUID() function. U.S. Forest Service String 40 0 0 Unique Identifier. WILDERNESSSTATUSID CASENAME The official name given to the case U.S. Forest Service String 240 0 0 Proper name. CASENAME LOCALCASEID The local Case identification code assigned U.S. Forest Service String 30 0 0 Locally unique identifier. LOCALCASEID AREATYPE Type Code assigned to each Wilderness Area U.S. Forest Service String 50 0 0 NATIONAL WILDERNESS NATIONAL WILDERNESS U.S. Forest Service AREATYPE AREANAME The Area Name assigned to each Wilderness Area U.S. Forest Service String 80 0 0 Proper name. AREANAME AREAID Legacy code for Congressionally Designated Areas (CDA). U.S. Forest Service String 6 0 0 CDA Code. AREAID BOUNDARYSTATUS Legal status of the Regulated Use boundary. Choices include: Final or Provisional, Subject to Change U.S. Forest Service String 40 0 0 Final Boundary is finalized U.S. Forest Service Provisional Boundary is provisional U.S. Forest Service Subject to Change Boundary is subject to change U.S. Forest Service BOUNDARYSTATUS ACTIONDATE Date area was officially established (may differ from the Authority date) U.S. Forest Service Date 8 0 0 Date. ACTIONDATE OFFICIALACRES The official acres defined the original authority. U.S. Forest Service Double 8 0 0 The official area of a feature in acres. OFFICIALACRES GIS_ACRES The area of the feature in acres, calculated using a projected surface computation. A NAD 83, USA Contiguous Albers Equal Area Conic projection was used for Regions 1-9, and NAD 83, Alaska Albers for Region 10. U.S. Forest Service Double 8 0 0 The area of a feature in acres. GIS_ACRES BLM_SERIALNO_EXT An unique serial number identifier assigned by the Bureau of Land Management. U.S. Forest Service String 25 0 0 Unique serial number. BLM_SERIALNO_EXT COMMENTS Additional related information. U.S. Forest Service String 2000 0 0 Textual comments. COMMENTS WILDERNESS_FK Foreign key to corresponding non-Status Publication feature class U.S. Forest Service String 40 0 0 Foreign key. WILDERNESS_FK REGION U.S. Forest Service Region, consisting of Region 01 (Northern Region), Region 02 (Rocky Mountain Region), Region 03 (Southwestern Region), Region 04 (Intermountain Region), Region 05 (Pacific Southwest Region), Region 06 (Pacific Northwest Region), Region 08 (Southern Region), Region 09 (Eastern Region), and Region 10 (Alaska Region). There is no Region 07. Regions are listed on http://www.fs.fed.us/organization/506. Within this dataset, the region represents the Land Status Record System Production Regional schema from which data was derived. U.S. Forest Service String 2 0 0 01 Region 01 - Northern U.S. Forest Service 02 Region 02 - Rocky Mountain U.S. Forest Service 03 Region 03 - Southwestern U.S. Forest Service 04 Region 04 - Intermountain U.S. Forest Service 05 Region 05 - Pacific Southwest U.S. Forest Service 06 Region 06 - Pacific Northwest U.S. Forest Service 08 Region 08 - Southern U.S. Forest Service 09 Region 09 - Eastern U.S. Forest Service 10 Region 10 - Alaska U.S. Forest Service REGION SHAPE Feature geometry. ESRI Geometry 0 0 0 Coordinates defining the features. Shape 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. 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 U.S. Forest Service makes no warranty, express or implied, nor assumes any liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data or for the improper or incorrect use of those data. The data are dynamic and may change over time. The user is responsible for verifying the limitations of the geospatial data and for using the data accordingly. 20170929 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 USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 data@fs.fed.us 20221103 ArcGIS Metadata 1.0 USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 data@fs.fed.us http://data.fs.usda.gov/geodata/edw/datasets.php File Geodatabase Feature Class Bucks_Lake_Wilderness 2017-10-15T06:30:56 Automated Lands Program (ALP) U.S. Forest Service vector digital data <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>A boundary of an area designation that comprises all or a portion of a National Wilderness in the National Wilderness Preservation System. Each area designation is characterized by a date, boundary status, and authority and may be just one of several designations that comprise a single National Wilderness.</SPAN></P></DIV></DIV></DIV> This data is intended for read-only use. The purpose of the data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 data@fs.fed.us ISO 19115 Topic Categories boundaries Wilderness Name Wilderness Status ALP Land Dataset USDA Forest Service NFS Lands Land Status Wilderness Name Wilderness Status ALP Land Dataset USDA Forest Service NFS Lands boundaries Land Status The U.S. Forest Service makes no warranty, express or implied, nor assumes any liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data or for the improper or incorrect use of those data. The data are dynamic and may change over time. The user is responsible for verifying the limitations of the geospatial data and for using the data accordingly. <DIV STYLE="text-align:Left;"><DIV><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></DIV> Microsoft Windows 10 Version 10.0 (Build 22000) ; Esri ArcGIS 13.0.2.36056 publication date 2015-12-27 -139.64067 -65.77081 18.248406 59.999703 1 -139.640670 -65.770376 59.999703 18.248406 Quality control measures taken: this feature class is populated by an automated translation process from the source feature class that is edited and maintained by the data stewards. Only stewards with the proper role grants can edit the data. The application used for editing has built in controls to only allow valid geometry and domains to control attribute integrity. Quality control measures taken: this feature class is populated by an automated translation process from the source feature class that is edited and maintained by the data stewards. Only stewards with the proper role grants can edit the data. The application used for editing has built in controls to only allow valid geometry and domains to control attribute integrity. This theme is current to date of publication. The Regional Land Status personnel are responsible for their local data stewardship and maintenance. The overall collection nationwide consists of 100% attribute accuracy based on currentness and completeness. Generally the source information used to record spatial locations are from: 1) on-screen digitizing with a georeferenced topographic or image background; or 2) GPS field collected positions. This data was published using Feature Manipulation Engine Software. The spatial features were extracted from the transactional database, manipulated to meet the desired output format and published to the target feature class. This data was migrated from the CDW. The spatial features were projected and imported into the target feature class. 2015-12-27 0 20171002 08473800 1.0 Bucks_Lake_Wilderness -139.640670 -65.770376 18.248406 59.999703 1 Relationship Relationship S_USA.WildStatus_RegUseSeg_RC Relationship S_USA.WildStatus_RegUseAuthority_RC Relationship S_USA.WildStatus_RegUseDoc_RC S_USA.WildStatus_RegUseATC_RC Relationship S_USA.WildStatus_RegUseAdmin_RC Relationship file://\\LAPTOP-L8102OPO\C$\Workspace\Plumas_NF_Dixie_Fire\Plumas_NF_Dixie_Data\Plumas_NF_Dixie_Data.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/3.0.0'><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>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>99999999.999999985</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9900000000000004e-08</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem> CopyFeatures T:\FS\BusOps\CIO\Project\EDW\data.fs.usda.gov\deploy_datasets\conn\S_USA.sde\Land\S_USA.WildernessStatus T:\FS\BusOps\CIO\Project\EDW\data.fs.usda.gov\deploy_datasets\out\fc\S_USA.WildernessStatus.gdb\WildernessStatus # 0 0 0 ExportFeatures WildernessStatus C:\Workspace\Plumas_NF_Dixie_Fire\Plumas_NF_Dixie_Data\Plumas_NF_Dixie_Data.gdb\Bucks_Lake_Wilderness # NOT_USE_ALIAS "WILDERNESSSTATUSID "WILDERNESSSTATUSID" true true false 40 Text 0 0,First,#,WildernessStatus,WILDERNESSSTATUSID,0,40;CASENAME "CASENAME" true true false 240 Text 0 0,First,#,WildernessStatus,CASENAME,0,240;LOCALCASEID "LOCALCASEID" true true false 30 Text 0 0,First,#,WildernessStatus,LOCALCASEID,0,30;AREATYPE "AREATYPE" true true false 50 Text 0 0,First,#,WildernessStatus,AREATYPE,0,50;AREANAME "AREANAME" true true false 80 Text 0 0,First,#,WildernessStatus,AREANAME,0,80;AREAID "AREAID" true true false 6 Text 0 0,First,#,WildernessStatus,AREAID,0,6;BOUNDARYSTATUS "BOUNDARYSTATUS" true true false 40 Text 0 0,First,#,WildernessStatus,BOUNDARYSTATUS,0,40;ACTIONDATE "ACTIONDATE" true true false 8 Date 0 0,First,#,WildernessStatus,ACTIONDATE,-1,-1;OFFICIALACRES "OFFICIALACRES" true true false 8 Double 0 0,First,#,WildernessStatus,OFFICIALACRES,-1,-1;GIS_ACRES "GIS_ACRES" true true false 8 Double 0 0,First,#,WildernessStatus,GIS_ACRES,-1,-1;BLM_SERIALNO_EXT "BLM_SERIALNO_EXT" true true false 25 Text 0 0,First,#,WildernessStatus,BLM_SERIALNO_EXT,0,25;COMMENTS "COMMENTS" true true false 2000 Text 0 0,First,#,WildernessStatus,COMMENTS,0,2000;WILDERNESS_FK "WILDERNESS_FK" true true false 40 Text 0 0,First,#,WildernessStatus,WILDERNESS_FK,0,40;REGION "REGION" true true false 2 Text 0 0,First,#,WildernessStatus,REGION,0,2;SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0,First,#,WildernessStatus,SHAPE_Length,-1,-1;SHAPE_Area "SHAPE_Area" false true true 8 Double 0 0,First,#,WildernessStatus,SHAPE_Area,-1,-1" # 20221103 10295100 20221103 10295100 150000000 5000 FGDC original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VS5TLiBGb3Jlc3QgU2VydmljZTwvb3JpZ2luPg0KICAgICAgICA8b3JpZ2luPkF1dG9tYXRlZCBM YW5kcyBQcm9ncmFtIChBTFApPC9vcmlnaW4+DQogICAgICAgIDxwdWJkYXRlPjIwMTUxMjI3PC9w dWJkYXRlPg0KICAgICAgICA8cHVidGltZT4wNjMwNTY8L3B1YnRpbWU+DQogICAgICAgIDx0aXRs ZT5TX1VTQS5XaWxkZXJuZXNzU3RhdHVzPC90aXRsZT4NCiAgICAgICAgPGdlb2Zvcm0+dmVjdG9y IGRpZ2l0YWwgZGF0YTwvZ2VvZm9ybT4NCiAgICAgICAgPG9ubGluaz5odHRwOi8vZGF0YS5mcy51 c2RhLmdvdi9nZW9kYXRhL2Vkdy9kYXRhc2V0cy5waHA8L29ubGluaz4NCiAgICAgIDwvY2l0ZWlu Zm8+DQogICAgPC9jaXRhdGlvbj4NCiAgICA8ZGVzY3JpcHQ+DQogICAgICA8YWJzdHJhY3Q+QSBi b3VuZGFyeSBvZiBhbiBhcmVhIGRlc2lnbmF0aW9uIHRoYXQgY29tcHJpc2VzIGFsbCBvciBhIHBv cnRpb24gb2YgYSBOYXRpb25hbCBXaWxkZXJuZXNzIGluIHRoZSBOYXRpb25hbCBXaWxkZXJuZXNz IFByZXNlcnZhdGlvbiBTeXN0ZW0uIEVhY2ggYXJlYSBkZXNpZ25hdGlvbiBpcyBjaGFyYWN0ZXJp emVkIGJ5IGEgZGF0ZSwgYm91bmRhcnkgc3RhdHVzLCBhbmQgYXV0aG9yaXR5IGFuZCBtYXkgYmUg anVzdCBvbmUgb2Ygc2V2ZXJhbCBkZXNpZ25hdGlvbnMgdGhhdCBjb21wcmlzZSBhIHNpbmdsZSBO YXRpb25hbCBXaWxkZXJuZXNzLjwvYWJzdHJhY3Q+DQogICAgICA8cHVycG9zZT5UaGlzIGRhdGEg aXMgaW50ZW5kZWQgZm9yIHJlYWQtb25seSB1c2UuIFRoZSBwdXJwb3NlIG9mIHRoZSBkYXRhIGlz IHRvIHByb3ZpZGUgZGlzcGxheSwgaWRlbnRpZmljYXRpb24sIGFuZCBhbmFseXNpcyB0b29scyBm b3IgZGV0ZXJtaW5pbmcgY3VycmVudCBib3VuZGFyeSBpbmZvcm1hdGlvbiBmb3IgRm9yZXN0IFNl cnZpY2UgbWFuYWdlcnMsIEdJUyBTcGVjaWFsaXN0cywgYW5kIG90aGVycy48L3B1cnBvc2U+DQog ICAgPC9kZXNjcmlwdD4NCiAgICA8dGltZXBlcmQ+DQogICAgICA8dGltZWluZm8+DQogICAgICAg IDxzbmdkYXRlPg0KICAgICAgICAgIDxjYWxkYXRlPjIwMTUxMjI3PC9jYWxkYXRlPg0KICAgICAg ICA8L3NuZ2RhdGU+DQogICAgICA8L3RpbWVpbmZvPg0KICAgICAgPGN1cnJlbnQ+cHVibGljYXRp b24gZGF0ZTwvY3VycmVudD4NCiAgICA8L3RpbWVwZXJkPg0KICAgIDxzdGF0dXM+DQogICAgICA8 cHJvZ3Jlc3M+Q29tcGxldGU8L3Byb2dyZXNzPg0KICAgICAgPHVwZGF0ZT5XZWVrbHk8L3VwZGF0 ZT4NCiAgICA8L3N0YXR1cz4NCiAgICA8c3Bkb20+DQogICAgICA8Ym91bmRpbmc+DQogICAgICAg IDx3ZXN0YmM+LTEzOS42NDA2NzA8L3dlc3RiYz4NCiAgICAgICAgPGVhc3RiYz4tNjUuNzcwODEw PC9lYXN0YmM+DQogICAgICAgIDxub3J0aGJjPjU5Ljk5OTcwMzwvbm9ydGhiYz4NCiAgICAgICAg PHNvdXRoYmM+MTguMjQ4NDA2PC9zb3V0aGJjPg0KICAgICAgPC9ib3VuZGluZz4NCiAgICA8L3Nw ZG9tPg0KICAgIDxrZXl3b3Jkcz4NCiAgICAgIDx0aGVtZT4NCiAgICAgICAgPHRoZW1la3Q+bm9u ZTwvdGhlbWVrdD4NCiAgICAgICAgPHRoZW1la2V5PldpbGRlcm5lc3MgU3RhdHVzPC90aGVtZWtl eT4NCiAgICAgICAgPHRoZW1la2V5Pk5GUyBMYW5kczwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVt ZWtleT5MYW5kIFN0YXR1czwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5VU0RBIEZvcmVz dCBTZXJ2aWNlPC90aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5PldpbGRlcm5lc3MgTmFtZTwv dGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5BTFAgTGFuZCBEYXRhc2V0PC90aGVtZWtleT4N CiAgICAgIDwvdGhlbWU+DQogICAgICA8dGhlbWU+DQogICAgICAgIDx0aGVtZWt0PklTTyAxOTEx NSBUb3BpYyBDYXRlZ29yaWVzPC90aGVtZWt0Pg0KICAgICAgICA8dGhlbWVrZXk+Ym91bmRhcmll czwvdGhlbWVrZXk+DQogICAgICA8L3RoZW1lPg0KICAgIDwva2V5d29yZHM+DQogICAgPGFjY2Nv bnN0Pk5vbmU8L2FjY2NvbnN0Pg0KICAgIDx1c2Vjb25zdD5UaGUgVVNEQSBGb3Jlc3QgU2Vydmlj ZSBtYWtlcyBubyB3YXJyYW50eSwgZXhwcmVzc2VkIG9yIGltcGxpZWQsIGluY2x1ZGluZyB0aGUg d2FycmFudGllcyBvZiBtZXJjaGFudGFiaWxpdHkgYW5kIGZpdG5lc3MgZm9yIGEgcGFydGljdWxh ciBwdXJwb3NlLCBub3IgYXNzdW1lcyBhbnkgbGVnYWwgbGlhYmlsaXR5IG9yIHJlc3BvbnNpYmls aXR5IGZvciB0aGUgYWNjdXJhY3ksIHJlbGlhYmlsaXR5LCBjb21wbGV0ZW5lc3Mgb3IgdXRpbGl0 eSBvZiB0aGVzZSBnZW9zcGF0aWFsIGRhdGEsIG9yIGZvciB0aGUgaW1wcm9wZXIgb3IgaW5jb3Jy ZWN0IHVzZSBvZiB0aGVzZSBnZW9zcGF0aWFsIGRhdGEuIFRoZXNlIGdlb3NwYXRpYWwgZGF0YSBh bmQgcmVsYXRlZCBtYXBzIG9yIGdyYXBoaWNzIGFyZSBub3QgbGVnYWwgZG9jdW1lbnRzIGFuZCBh cmUgbm90IGludGVuZGVkIHRvIGJlIHVzZWQgYXMgc3VjaC4gVGhlIGRhdGEgYW5kIG1hcHMgbWF5 IG5vdCBiZSB1c2VkIHRvIGRldGVybWluZSB0aXRsZSwgb3duZXJzaGlwLCBsZWdhbCBkZXNjcmlw dGlvbnMgb3IgYm91bmRhcmllcywgbGVnYWwganVyaXNkaWN0aW9uLCBvciByZXN0cmljdGlvbnMg dGhhdCBtYXkgYmUgaW4gcGxhY2Ugb24gZWl0aGVyIHB1YmxpYyBvciBwcml2YXRlIGxhbmQuIE5h dHVyYWwgaGF6YXJkcyBtYXkgb3IgbWF5IG5vdCBiZSBkZXBpY3RlZCBvbiB0aGUgZGF0YSBhbmQg bWFwcywgYW5kIGxhbmQgdXNlcnMgc2hvdWxkIGV4ZXJjaXNlIGR1ZSBjYXV0aW9uLiBUaGUgZGF0 YSBhcmUgZHluYW1pYyBhbmQgbWF5IGNoYW5nZSBvdmVyIHRpbWUuIFRoZSB1c2VyIGlzIHJlc3Bv bnNpYmxlIHRvIHZlcmlmeSB0aGUgbGltaXRhdGlvbnMgb2YgdGhlIGdlb3NwYXRpYWwgZGF0YSBh bmQgdG8gdXNlIHRoZSBkYXRhIGFjY29yZGluZ2x5LjwvdXNlY29uc3Q+DQogICAgPHB0Y29udGFj Pg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+ VVNGUyBDaGllZiBJbmZvcm1hdGlvbiBPZmZpY2UsIEVudGVycHJpc2UgRGF0YSBXYXJlaG91c2U8 L2NudG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAgICAgICA8Y250YWRkcj4NCiAgICAgICAg ICA8YWRkcnR5cGU+cGh5c2ljYWw8L2FkZHJ0eXBlPg0KICAgICAgICAgIDxjaXR5Pldhc2hpbmd0 b248L2NpdHk+DQogICAgICAgICAgPHN0YXRlPkRDPC9zdGF0ZT4NCiAgICAgICAgICA8cG9zdGFs PjIwMjUwPC9wb3N0YWw+DQogICAgICAgIDwvY250YWRkcj4NCiAgICAgICAgPGNudHZvaWNlPlBs ZWFzZSBzZW5kIGFuIGUtbWFpbCB0byB0aGUgYWRkcmVzcyBiZWxvdy48L2NudHZvaWNlPg0KICAg ICAgICA8Y250ZW1haWw+ZGF0YUBmcy5mZWQudXM8L2NudGVtYWlsPg0KICAgICAgPC9jbnRpbmZv Pg0KICAgIDwvcHRjb250YWM+DQogICAgPG5hdGl2ZT5NaWNyb3NvZnQgV2luZG93cyBTZXJ2ZXIg MjAwOCBSMiBWZXJzaW9uIDYuMSAoQnVpbGQgNzYwMSkgU2VydmljZSBQYWNrIDE7IEVzcmkgQXJj R0lTIDEwLjMuMS40OTU5PC9uYXRpdmU+DQogIDwvaWRpbmZvPg0KICA8ZGF0YXF1YWw+DQogICAg PGF0dHJhY2M+DQogICAgICA8YXR0cmFjY3I+VGhlIFJlZ2lvbmFsIExhbmQgU3RhdHVzIHBlcnNv bm5lbCBhcmUgcmVzcG9uc2libGUgZm9yIHRoZWlyIGxvY2FsIGRhdGEgc3Rld2FyZHNoaXAgYW5k IG1haW50ZW5hbmNlLiBUaGUgb3ZlcmFsbCBjb2xsZWN0aW9uIG5hdGlvbndpZGUgY29uc2lzdHMg b2YgMTAwJSBhdHRyaWJ1dGUgYWNjdXJhY3kgYmFzZWQgb24gY3VycmVudG5lc3MgYW5kIGNvbXBs ZXRlbmVzcy48L2F0dHJhY2NyPg0KICAgIDwvYXR0cmFjYz4NCiAgICA8bG9naWM+UXVhbGl0eSBj b250cm9sIG1lYXN1cmVzIHRha2VuOiB0aGlzIGZlYXR1cmUgY2xhc3MgaXMgcG9wdWxhdGVkIGJ5 IGFuIGF1dG9tYXRlZCB0cmFuc2xhdGlvbiBwcm9jZXNzIGZyb20gdGhlIHNvdXJjZSBmZWF0dXJl IGNsYXNzIHRoYXQgaXMgZWRpdGVkIGFuZCBtYWludGFpbmVkIGJ5IHRoZSBkYXRhIHN0ZXdhcmRz LiBPbmx5IHN0ZXdhcmRzIHdpdGggdGhlIHByb3BlciByb2xlIGdyYW50cyBjYW4gZWRpdCB0aGUg ZGF0YS4gVGhlIGFwcGxpY2F0aW9uIHVzZWQgZm9yIGVkaXRpbmcgaGFzIGJ1aWx0IGluIGNvbnRy b2xzIHRvIG9ubHkgYWxsb3cgdmFsaWQgZ2VvbWV0cnkgYW5kIGRvbWFpbnMgdG8gY29udHJvbCBh dHRyaWJ1dGUgaW50ZWdyaXR5LjwvbG9naWM+DQogICAgPGNvbXBsZXRlPlRoaXMgdGhlbWUgaXMg Y3VycmVudCB0byBkYXRlIG9mIHB1YmxpY2F0aW9uLjwvY29tcGxldGU+DQogICAgPHBvc2FjYz4N CiAgICAgIDxob3JpenBhPg0KICAgICAgICA8aG9yaXpwYXI+R2VuZXJhbGx5IHRoZSBzb3VyY2Ug aW5mb3JtYXRpb24gdXNlZCB0byByZWNvcmQgc3BhdGlhbCBsb2NhdGlvbnMgYXJlIGZyb206IDEp IG9uLXNjcmVlbiBkaWdpdGl6aW5nIHdpdGggYSBnZW9yZWZlcmVuY2VkIHRvcG9ncmFwaGljIG9y IGltYWdlIGJhY2tncm91bmQ7IG9yIDIpIEdQUyBmaWVsZCBjb2xsZWN0ZWQgcG9zaXRpb25zLjwv aG9yaXpwYXI+DQogICAgICA8L2hvcml6cGE+DQogICAgPC9wb3NhY2M+DQogICAgPGxpbmVhZ2U+ DQogICAgICA8cHJvY3N0ZXA+DQogICAgICAgIDxwcm9jZGVzYz5UaGlzIGRhdGEgd2FzIHB1Ymxp c2hlZCB1c2luZyBGZWF0dXJlIE1hbmlwdWxhdGlvbiBFbmdpbmUgU29mdHdhcmUuIFRoZSBzcGF0 aWFsIGZlYXR1cmVzIHdlcmUgZXh0cmFjdGVkIGZyb20gdGhlIHRyYW5zYWN0aW9uYWwgZGF0YWJh c2UsIG1hbmlwdWxhdGVkIHRvIG1lZXQgdGhlIGRlc2lyZWQgb3V0cHV0IGZvcm1hdCBhbmQgcHVi bGlzaGVkIHRvIHRoZSB0YXJnZXQgZmVhdHVyZSBjbGFzcy4gVGhpcyBkYXRhIHdhcyBtaWdyYXRl ZCBmcm9tIHRoZSBDRFcuIFRoZSBzcGF0aWFsIGZlYXR1cmVzIHdlcmUgcHJvamVjdGVkIGFuZCBp bXBvcnRlZCBpbnRvIHRoZSB0YXJnZXQgZmVhdHVyZSBjbGFzcy48L3Byb2NkZXNjPg0KICAgICAg ICA8cHJvY2RhdGU+MjAxNTEyMjc8L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICA8 L2xpbmVhZ2U+DQogIDwvZGF0YXF1YWw+DQogIDxzcGRvaW5mbz4NCiAgICA8ZGlyZWN0PlZlY3Rv cjwvZGlyZWN0Pg0KICAgIDxwdHZjdGluZj4NCiAgICAgIDxzZHRzdGVybT4NCiAgICAgICAgPHNk dHN0eXBlPkdULXBvbHlnb24gY29tcG9zZWQgb2YgY2hhaW5zPC9zZHRzdHlwZT4NCiAgICAgICAg PHB0dmN0Y250PjYxMTwvcHR2Y3RjbnQ+DQogICAgICA8L3NkdHN0ZXJtPg0KICAgIDwvcHR2Y3Rp bmY+DQogIDwvc3Bkb2luZm8+DQogIDxzcHJlZj4NCiAgICA8aG9yaXpzeXM+DQogICAgICA8Z2Vv Z3JhcGg+DQogICAgICAgIDxsYXRyZXM+OC45OTAwMDAwMDAwMDAwMDA0ZS0wMDg8L2xhdHJlcz4N CiAgICAgICAgPGxvbmdyZXM+OC45OTAwMDAwMDAwMDAwMDA0ZS0wMDg8L2xvbmdyZXM+DQogICAg ICAgIDxnZW9ndW5pdD5EZWNpbWFsIERlZ3JlZXM8L2dlb2d1bml0Pg0KICAgICAgPC9nZW9ncmFw aD4NCiAgICAgIDxnZW9kZXRpYz4NCiAgICAgICAgPGhvcml6ZG4+RCBOb3J0aCBBbWVyaWNhbiAx OTgzPC9ob3JpemRuPg0KICAgICAgICA8ZWxsaXBzPkdSUyAxOTgwPC9lbGxpcHM+DQogICAgICAg IDxzZW1pYXhpcz42Mzc4MTM3LjA8L3NlbWlheGlzPg0KICAgICAgICA8ZGVuZmxhdD4yOTguMjU3 MjIyMTAxPC9kZW5mbGF0Pg0KICAgICAgPC9nZW9kZXRpYz4NCiAgICA8L2hvcml6c3lzPg0KICA8 L3NwcmVmPg0KICA8ZWFpbmZvPg0KICAgIDxkZXRhaWxlZD4NCiAgICAgIDxlbnR0eXA+DQogICAg ICAgIDxlbnR0eXBsPlNfVVNBLldpbGRlcm5lc3NTdGF0dXM8L2VudHR5cGw+DQogICAgICAgIDxl bnR0eXBkPkEgY29sbGVjdGlvbiBvZiBnZW9ncmFwaGljIGZlYXR1cmVzIHdpdGggdGhlIHNhbWUg Z2VvbWV0cnkgdHlwZSAoc3VjaCBhcyBwb2ludCwgbGluZSwgb3IgcG9seWdvbiksIHRoZSBzYW1l IGF0dHJpYnV0ZXMsIGFuZCB0aGUgc2FtZSBzcGF0aWFsIHJlZmVyZW5jZS48L2VudHR5cGQ+DQog ICAgICAgIDxlbnR0eXBkcz5odHRwOi8vc3VwcG9ydC5lc3JpLmNvbS9lbi9rbm93bGVkZ2ViYXNl L0dJU0RpY3Rpb25hcnkvdGVybS9mZWF0dXJlJTIwY2xhc3M8L2VudHR5cGRzPg0KICAgICAgPC9l bnR0eXA+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPk9CSkVDVElEPC9hdHRybGFi bD4NCiAgICAgICAgPGF0dHJkZWY+SW50ZXJuYWwgZmVhdHVyZSBudW1iZXIuPC9hdHRyZGVmPg0K ICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5j PSJUUlVFIj5PYmplY3QgSUQ8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJV RSI+NDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4xMDwvYXRwcmVj aXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAg PGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlNlcXVlbnRpYWwgdW5pcXVlIHdob2xlIG51bWJl cnMgdGhhdCBhcmUgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0 dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5X SUxERVJORVNTU1RBVFVTSUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5VbmlxdWUgaWRl bnRpZmllciBnZW5lcmF0ZWQgYnkgT3JhY2xlIHNlcXVlbmNlIG9yIFNZU19HVUlEKCkgZnVuY3Rp b24uPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0 cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5UZXh0PC9hdHRydHlwZT4NCiAg ICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjQwPC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJl Y2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJV RSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5Vbmlx dWUgSWRlbnRpZmllci48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+ DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkNBU0VOQU1FPC9hdHRybGFibD4NCiAg ICAgICAgPGF0dHJkZWY+VGhlIG9mZmljaWFsIG5hbWUgZ2l2ZW4gdG8gdGhlIGNhc2U8L2F0dHJk ZWY+DQogICAgICAgIDxhdHRyZGVmcz5VLlMuIEZvcmVzdCBTZXJ2aWNlPC9hdHRyZGVmcz4NCiAg ICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlRleHQ8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0 d2lkdGggU3luYz0iVFJVRSI+MjQwPC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9 IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0 c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5Qcm9wZXIgbmFtZS48 L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4N CiAgICAgICAgPGF0dHJsYWJsPkxPQ0FMQ0FTRUlEPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJk ZWY+VGhlIGxvY2FsIENhc2UgaWRlbnRpZmljYXRpb24gY29kZSBhc3NpZ25lZDwvYXR0cmRlZj4N CiAgICAgICAgPGF0dHJkZWZzPlUuUy4gRm9yZXN0IFNlcnZpY2U8L2F0dHJkZWZzPg0KICAgICAg ICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+VGV4dDwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0 aCBTeW5jPSJUUlVFIj4zMDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVF Ij4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxl Pg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+TG9jYWxseSB1bmlxdWUgaWRl bnRpZmllci48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAg ICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkFSRUFUWVBFPC9hdHRybGFibD4NCiAgICAgICAg PGF0dHJkZWY+VHlwZSBDb2RlIGFzc2lnbmVkIHRvIGVhY2ggV2lsZGVybmVzcyBBcmVhPC9hdHRy ZGVmPg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0cmRlZnM+DQog ICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5UZXh0PC9hdHRydHlwZT4NCiAgICAgICAgPGF0 dHdpZHRoIFN5bmM9IlRSVUUiPjUwPC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9 IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0 c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8ZWRvbT4NCiAgICAgICAgICAg IDxlZG9tdj5OQVRJT05BTCBXSUxERVJORVNTPC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+ TkFUSU9OQUwgV0lMREVSTkVTUzwvZWRvbXZkPg0KICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBG b3Jlc3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgIDwvYXR0 cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkFS RUFOQU1FPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhlIEFyZWEgTmFtZSBhc3NpZ25l ZCB0byBlYWNoIFdpbGRlcm5lc3MgQXJlYTwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPlUu Uy4gRm9yZXN0IFNlcnZpY2U8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJV RSI+VGV4dDwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj44MDwvYXR0 d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAg ICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRvbXY+ DQogICAgICAgICAgPHVkb20+UHJvcGVyIG5hbWUuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212 Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5BUkVBSUQ8 L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5MZWdhY3kgY29kZSBmb3IgQ29uZ3Jlc3Npb25h bGx5IERlc2lnbmF0ZWQgQXJlYXMgKENEQSkuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+ VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJU UlVFIj5UZXh0PC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjY8L2F0 dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAg ICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212 Pg0KICAgICAgICAgIDx1ZG9tPkNEQSBDb2RlLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4N CiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+Qk9VTkRBUllT VEFUVVM8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5MZWdhbCBzdGF0dXMgb2YgdGhlIFJl Z3VsYXRlZCBVc2UgYm91bmRhcnkuIENob2ljZXMgaW5jbHVkZTogRmluYWwgb3IgUHJvdmlzaW9u YWwsIFN1YmplY3QgdG8gQ2hhbmdlPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBG b3Jlc3QgU2VydmljZTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5U ZXh0PC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjQwPC9hdHR3aWR0 aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8 YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAg ICAgICAgICA8ZWRvbT4NCiAgICAgICAgICAgIDxlZG9tdj5GaW5hbDwvZWRvbXY+DQogICAgICAg ICAgICA8ZWRvbXZkPkJvdW5kYXJ5IGlzIGZpbmFsaXplZDwvZWRvbXZkPg0KICAgICAgICAgICAg PGVkb212ZHM+VS5TLiBGb3Jlc3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAgICA8L2Vkb20+ DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+UHJvdmlzaW9uYWw8L2Vkb212 Pg0KICAgICAgICAgICAgPGVkb212ZD5Cb3VuZGFyeSBpcyBwcm92aXNpb25hbDwvZWRvbXZkPg0K ICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAg ICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+U3ViamVj dCB0byBDaGFuZ2U8L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5Cb3VuZGFyeSBpcyBzdWJq ZWN0IHRvIGNoYW5nZTwvZWRvbXZkPg0KICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3Qg U2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+ DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkFDVElPTkRB VEU8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5EYXRlIGFyZWEgd2FzIG9mZmljaWFsbHkg ZXN0YWJsaXNoZWQgKG1heSBkaWZmZXIgZnJvbSB0aGUgQXV0aG9yaXR5IGRhdGUpPC9hdHRyZGVm Pg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0cmRlZnM+DQogICAg ICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5EYXRlPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdp ZHRoIFN5bmM9IlRSVUUiPjM2PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRS VUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2Nh bGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5EYXRlLjwvdWRvbT4NCiAg ICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8 YXR0cmxhYmw+T0ZGSUNJQUxBQ1JFUzwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRoZSBv ZmZpY2lhbCBhY3JlcyBkZWZpbmVkIHRoZSBvcmlnaW5hbCBhdXRob3JpdHkuPC9hdHRyZGVmPg0K ICAgICAgICA8YXR0cmRlZnM+VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0cmRlZnM+DQogICAgICAg IDxhdHRydHlwZSBTeW5jPSJUUlVFIj5Eb3VibGU8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lk dGggU3luYz0iVFJVRSI+ODwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVF Ij4zODwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj44PC9hdHRzY2Fs ZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlRoZSBvZmZpY2lhbCBhcmVh IG9mIGEgZmVhdHVyZSBpbiBhY3Jlcy48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAg ICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkdJU19BQ1JFUzwvYXR0 cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRoZSBhcmVhIG9mIHRoZSBmZWF0dXJlIGluIGFjcmVz LCBjYWxjdWxhdGVkIHVzaW5nIGEgcHJvamVjdGVkIHN1cmZhY2UgY29tcHV0YXRpb24uIEEgTkFE IDgzLCBVU0EgQ29udGlndW91cyBBbGJlcnMgRXF1YWwgQXJlYSBDb25pYyBwcm9qZWN0aW9uIHdh cyB1c2VkIGZvciBSZWdpb25zIDEtOSwgYW5kIE5BRCA4MywgQWxhc2thIEFsYmVycyBmb3IgUmVn aW9uIDEwLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPlUuUy4gRm9yZXN0IFNlcnZpY2U8 L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+RG91YmxlPC9hdHRydHlw ZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjg8L2F0dHdpZHRoPg0KICAgICAgICA8 YXRwcmVjaXMgU3luYz0iVFJVRSI+Mzg8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3lu Yz0iVFJVRSI+ODwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRv bT5UaGUgYXJlYSBvZiBhIGZlYXR1cmUgaW4gYWNyZXMuPC91ZG9tPg0KICAgICAgICA8L2F0dHJk b212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5CTE1f U0VSSUFMTk9fRVhUPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+QW4gdW5pcXVlIHNlcmlh bCBudW1iZXIgaWRlbnRpZmllciBhc3NpZ25lZCBieSB0aGUgQnVyZWF1IG9mIExhbmQgTWFuYWdl bWVudC48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5VLlMuIEZvcmVzdCBTZXJ2aWNlPC9h dHRyZGVmcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlRleHQ8L2F0dHJ0eXBlPg0K ICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MjU8L2F0dHdpZHRoPg0KICAgICAgICA8YXRw cmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJU UlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlVu aXF1ZSBzZXJpYWwgbnVtYmVyLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwv YXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+Q09NTUVOVFM8L2F0dHJsYWJs Pg0KICAgICAgICA8YXR0cmRlZj5BZGRpdGlvbmFsIHJlbGF0ZWQgaW5mb3JtYXRpb24uPC9hdHRy ZGVmPg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0cmRlZnM+DQog ICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5UZXh0PC9hdHRydHlwZT4NCiAgICAgICAgPGF0 dHdpZHRoIFN5bmM9IlRSVUUiPjIwMDA8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3lu Yz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9h dHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPlRleHR1YWwgY29t bWVudHMuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAg PGF0dHI+DQogICAgICAgIDxhdHRybGFibD5XSUxERVJORVNTX0ZLPC9hdHRybGFibD4NCiAgICAg ICAgPGF0dHJkZWY+Rm9yZWlnbiBrZXkgdG8gY29ycmVzcG9uZGluZyBub24tU3RhdHVzIFB1Ymxp Y2F0aW9uIGZlYXR1cmUgY2xhc3M8L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5VLlMuIEZv cmVzdCBTZXJ2aWNlPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlRl eHQ8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+NDA8L2F0dHdpZHRo Pg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxh dHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAg ICAgICAgIDx1ZG9tPkZvcmVpZ24ga2V5LjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAg ICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+UkVHSU9OPC9hdHRy bGFibD4NCiAgICAgICAgPGF0dHJkZWY+VS5TLiBGb3Jlc3QgU2VydmljZSBSZWdpb24sIGNvbnNp c3Rpbmcgb2YgUmVnaW9uIDAxIChOb3J0aGVybiBSZWdpb24pLCBSZWdpb24gMDIgKFJvY2t5IE1v dW50YWluIFJlZ2lvbiksIFJlZ2lvbiAwMyAoU291dGh3ZXN0ZXJuIFJlZ2lvbiksIFJlZ2lvbiAw NCAoSW50ZXJtb3VudGFpbiBSZWdpb24pLCBSZWdpb24gMDUgKFBhY2lmaWMgU291dGh3ZXN0IFJl Z2lvbiksIFJlZ2lvbiAwNiAoUGFjaWZpYyBOb3J0aHdlc3QgUmVnaW9uKSwgUmVnaW9uIDA4IChT b3V0aGVybiBSZWdpb24pLCBSZWdpb24gMDkgKEVhc3Rlcm4gUmVnaW9uKSwgYW5kIFJlZ2lvbiAx MCAoQWxhc2thIFJlZ2lvbikuIFRoZXJlIGlzIG5vIFJlZ2lvbiAwNy4gUmVnaW9ucyBhcmUgbGlz dGVkIG9uIGh0dHA6Ly93d3cuZnMuZmVkLnVzL29yZ2FuaXphdGlvbi81MDYuIFdpdGhpbiB0aGlz IGRhdGFzZXQsIHRoZSByZWdpb24gcmVwcmVzZW50cyB0aGUgTGFuZCBTdGF0dXMgUmVjb3JkIFN5 c3RlbSBQcm9kdWN0aW9uIFJlZ2lvbmFsIHNjaGVtYSBmcm9tIHdoaWNoIGRhdGEgd2FzIGRlcml2 ZWQuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0 cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5UZXh0PC9hdHRydHlwZT4NCiAg ICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjI8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVj aXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVF Ij4wPC9hdHRzY2FsZT4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDxlZG9tPg0KICAg ICAgICAgICAgPGVkb212PjAxPC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+UmVnaW9uIDAx IC0gTm9ydGhlcm48L2Vkb212ZD4NCiAgICAgICAgICAgIDxlZG9tdmRzPlUuUy4gRm9yZXN0IFNl cnZpY2U8L2Vkb212ZHM+DQogICAgICAgICAgPC9lZG9tPg0KICAgICAgICAgIDxlZG9tPg0KICAg ICAgICAgICAgPGVkb212PjAyPC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+UmVnaW9uIDAy IC0gUm9ja3kgTW91bnRhaW48L2Vkb212ZD4NCiAgICAgICAgICAgIDxlZG9tdmRzPlUuUy4gRm9y ZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQogICAgICAgICAgPC9lZG9tPg0KICAgICAgICAgIDxlZG9t Pg0KICAgICAgICAgICAgPGVkb212PjAzPC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+UmVn aW9uIDAzIC0gU291dGh3ZXN0ZXJuPC9lZG9tdmQ+DQogICAgICAgICAgICA8ZWRvbXZkcz5VLlMu IEZvcmVzdCBTZXJ2aWNlPC9lZG9tdmRzPg0KICAgICAgICAgIDwvZWRvbT4NCiAgICAgICAgICA8 ZWRvbT4NCiAgICAgICAgICAgIDxlZG9tdj4wNDwvZWRvbXY+DQogICAgICAgICAgICA8ZWRvbXZk PlJlZ2lvbiAwNCAtIEludGVybW91bnRhaW48L2Vkb212ZD4NCiAgICAgICAgICAgIDxlZG9tdmRz PlUuUy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQogICAgICAgICAgPC9lZG9tPg0KICAgICAg ICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PjA1PC9lZG9tdj4NCiAgICAgICAgICAgIDxl ZG9tdmQ+UmVnaW9uIDA1IC0gUGFjaWZpYyBTb3V0aHdlc3Q8L2Vkb212ZD4NCiAgICAgICAgICAg IDxlZG9tdmRzPlUuUy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQogICAgICAgICAgPC9lZG9t Pg0KICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PjA2PC9lZG9tdj4NCiAgICAg ICAgICAgIDxlZG9tdmQ+UmVnaW9uIDA2IC0gUGFjaWZpYyBOb3J0aHdlc3Q8L2Vkb212ZD4NCiAg ICAgICAgICAgIDxlZG9tdmRzPlUuUy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQogICAgICAg ICAgPC9lZG9tPg0KICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PjA4PC9lZG9t dj4NCiAgICAgICAgICAgIDxlZG9tdmQ+UmVnaW9uIDA4IC0gU291dGhlcm48L2Vkb212ZD4NCiAg ICAgICAgICAgIDxlZG9tdmRzPlUuUy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQogICAgICAg ICAgPC9lZG9tPg0KICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PjA5PC9lZG9t dj4NCiAgICAgICAgICAgIDxlZG9tdmQ+UmVnaW9uIDA5IC0gRWFzdGVybjwvZWRvbXZkPg0KICAg ICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAg ICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+MTA8L2Vkb212 Pg0KICAgICAgICAgICAgPGVkb212ZD5SZWdpb24gMTAgLSBBbGFza2E8L2Vkb212ZD4NCiAgICAg ICAgICAgIDxlZG9tdmRzPlUuUy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQogICAgICAgICAg PC9lZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+ DQogICAgICAgIDxhdHRybGFibD5TSEFQRTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkZl YXR1cmUgZ2VvbWV0cnkuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRl ZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5HZW9tZXRyeTwvYXR0cnR5cGU+DQog ICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJl Y2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJV RSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5Db29y ZGluYXRlcyBkZWZpbmluZyB0aGUgZmVhdHVyZXMuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212 Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TSEFQRS5B UkVBPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+QXJlYSBvZiBmZWF0dXJlIGluIGludGVy bmFsIHVuaXRzIHNxdWFyZWQuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0 cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5Eb3VibGU8L2F0dHJ0eXBlPg0K ICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHBy ZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRS VUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9z aXRpdmUgcmVhbCBudW1iZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRv bT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAg ICAgICA8YXR0cmxhYmw+U0hBUEUuTEVOPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+TGVu Z3RoIG9mIGZlYXR1cmUgaW4gaW50ZXJuYWwgdW5pdHMuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0 cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5Eb3Vi bGU8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MDwvYXR0d2lkdGg+ DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0 dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAg ICAgICAgPHVkb20+UG9zaXRpdmUgcmVhbCBudW1iZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkg Z2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAg ICA8L2RldGFpbGVkPg0KICA8L2VhaW5mbz4NCiAgPGRpc3RpbmZvPg0KICAgIDxkaXN0cmliPg0K ICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+VVNG UyBDaGllZiBJbmZvcm1hdGlvbiBPZmZpY2UsIEVudGVycHJpc2UgRGF0YSBXYXJlaG91c2U8L2Nu dG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAgICAgICA8Y250YWRkcj4NCiAgICAgICAgICA8 YWRkcnR5cGU+cGh5c2ljYWw8L2FkZHJ0eXBlPg0KICAgICAgICAgIDxjaXR5Pldhc2hpbmd0b248 L2NpdHk+DQogICAgICAgICAgPHN0YXRlPkRDPC9zdGF0ZT4NCiAgICAgICAgICA8cG9zdGFsPjIw MjUwPC9wb3N0YWw+DQogICAgICAgIDwvY250YWRkcj4NCiAgICAgICAgPGNudHZvaWNlPlBsZWFz ZSBzZW5kIGFuIGUtbWFpbCB0byB0aGUgYWRkcmVzcyBiZWxvdy48L2NudHZvaWNlPg0KICAgICAg ICA8Y250ZW1haWw+ZGF0YUBmcy5mZWQudXM8L2NudGVtYWlsPg0KICAgICAgPC9jbnRpbmZvPg0K ICAgIDwvZGlzdHJpYj4NCiAgICA8ZGlzdGxpYWI+VGhlIFUuUy4gRm9yZXN0IFNlcnZpY2UgbWFr ZXMgbm8gd2FycmFudHksIGV4cHJlc3Mgb3IgaW1wbGllZCwgbm9yIGFzc3VtZXMgYW55IGxpYWJp bGl0eSBvciByZXNwb25zaWJpbGl0eSBmb3IgdGhlIGFjY3VyYWN5LCByZWxpYWJpbGl0eSwgY29t cGxldGVuZXNzLCBvciB1dGlsaXR5IG9mIHRoZXNlIGdlb3NwYXRpYWwgZGF0YSBvciBmb3IgdGhl IGltcHJvcGVyIG9yIGluY29ycmVjdCB1c2Ugb2YgdGhvc2UgZGF0YS4gVGhlIGRhdGEgYXJlIGR5 bmFtaWMgYW5kIG1heSBjaGFuZ2Ugb3ZlciB0aW1lLiBUaGUgdXNlciBpcyByZXNwb25zaWJsZSBm b3IgdmVyaWZ5aW5nIHRoZSBsaW1pdGF0aW9ucyBvZiB0aGUgZ2Vvc3BhdGlhbCBkYXRhIGFuZCBm b3IgdXNpbmcgdGhlIGRhdGEgYWNjb3JkaW5nbHkuPC9kaXN0bGlhYj4NCiAgPC9kaXN0aW5mbz4N CiAgPG1ldGFpbmZvPg0KICAgIDxtZXRkPjIwMTcwOTI5PC9tZXRkPg0KICAgIDxtZXRjPg0KICAg ICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+VVNGUyBD aGllZiBJbmZvcm1hdGlvbiBPZmZpY2UsIEVudGVycHJpc2UgRGF0YSBXYXJlaG91c2U8L2NudG9y Zz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAgICAgICA8Y250YWRkcj4NCiAgICAgICAgICA8YWRk cnR5cGU+cGh5c2ljYWw8L2FkZHJ0eXBlPg0KICAgICAgICAgIDxjaXR5Pldhc2hpbmd0b248L2Np dHk+DQogICAgICAgICAgPHN0YXRlPkRDPC9zdGF0ZT4NCiAgICAgICAgICA8cG9zdGFsPjIwMjUw PC9wb3N0YWw+DQogICAgICAgIDwvY250YWRkcj4NCiAgICAgICAgPGNudHZvaWNlPlBsZWFzZSBz ZW5kIGFuIGUtbWFpbCB0byB0aGUgYWRkcmVzcyBiZWxvdy48L2NudHZvaWNlPg0KICAgICAgICA8 Y250ZW1haWw+ZGF0YUBmcy5mZWQudXM8L2NudGVtYWlsPg0KICAgICAgPC9jbnRpbmZvPg0KICAg IDwvbWV0Yz4NCiAgICA8bWV0c3Rkbj5GR0RDIENvbnRlbnQgU3RhbmRhcmQgZm9yIERpZ2l0YWwg R2Vvc3BhdGlhbCBNZXRhZGF0YTwvbWV0c3Rkbj4NCiAgICA8bWV0c3Rkdj5GR0RDLVNURC0wMDEt MTk5ODwvbWV0c3Rkdj4NCiAgPC9tZXRhaW5mbz4NCjwvbWV0YWRhdGE+ /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1kn52 OQcHk+nHFKmFhVRwCMk+tOitpQjbhksSzHNVZN8bxoRmNiR19O1ctmIsSYaANuIT73SqtwwaGRWf aqx8mrRIEYzwuPwrB1WdljWENgBvmP48A0mBStgsN3E8ygQl+eMgfX+dX7JBPE5dmNx5jLJITnLq dp/D5ePaore0M9gTMwihL/ePO4j0A5poa4uLu7ht90EZcHzXGeAoXj1J2/hUvQmbs0zSFvuDhyOT nP0qrPaS5BXJ3ybjx0GOtOh0a2lAjnuLiUgHh3G1s98AY/pVjTJGQfYjIGNr+6JGMMABg47cUeoK TvZorWzMGGAQoHJWpfMki1WAKQ2ImLkcfKSMZ/Gr9xaiQM0ZKM3PB7+tYlxdi11G1Mcc0lwIykwA +UrzjPYc4Of8aJaCm7K5uC6i3EFsd657xVrB08wi2VfOlYlnIyNvpXPa3r8l/cSW8RaJIWwSjcM3 144/rVSBrvVY5EmuXY26b0z8wIJAP862hG+rKTTV0Tah4gu7y0a1kKJGSDiNSM/5/WsuJGiZ1wVf AxnI47n8q0v7Ju59Me4W2ZYogTJITt5AHY8ms2SV/MaQzfOCB8pxntxWqtsgJbqxeCMTB0aPIG5M 8H055p9sJZbCaMsTCBub5iBgZPT6j9aPKvdQU+VaS3BAGWSJiRW5pXhG/kjju5oZIoQrEpg+YOox tOOaAV+pb0Tzr/SYrOCzeFQWje5RNqupz1OOfz9KrafL/wAItq81nqD77eRFIkAJAI6HH512XhzS ZtMhkgmuvtMSkCPK42e1ad5plneJi4tYpcA7dygkVI7HNSeKNM8s+S0srMvDKn4Vd03U4r1fJC+X PHw8ZIJHvkcGuO1bQrnR7i6EODaqFbJ2lhnpnByPTOMcU2LU3a9a8slmhUlQVXDMem7g5z3NS4Lo Tc7y4TCHa2GPHNEcb28CIX3OB1rJsfEFtqE5t3BjkySvmcFgORx61tud644JrNqxRnTskpLDhl4Z SvGR1OfxFVJ3CquGBIIyAOg7GteKTaWUocEcZqrMqrg7dyFvu+lF0BchkUhduRT1lHmH5WJHBIFV UUxRtJxg9QKmjwwKxjHY0CHTPG0LbHA9RVHKlT5CAyEZzjt3q7Lbo4JYfgO1NwkMRKAZxgUhleEJ wwPzHrVsfOhUHjPIpqQKRvwckYpu7y3xy30HagCyo2e/NIc+cMnoO1RHzAm4Zx6Ec0CcoRuXAz1p iLa7ecd+tQgM0jfLgDgZp4YFdxxTt2RxTAQnYmTUbz7HHocVMUDAZ7VWeHfnJOOQBSYyYxxyAOFB x0PpUDIxYn5vwJosXAQxs2WzU5VVP8VAFpcMTt4UjqapTwme0dRncrFxgcA5q4djNEuGG35v07/n VbULo21swUZkPOPUdx+tasZRTc7ghuUOAh9axIYDcatJbyNhC7sT36c/pVq2ujABIN0hbKoo6tzm ktbeSGaS/uuJiW2RdxkYJP59PasQLEzwkrHsIjA2IuegqKziVldjuBJJXnqM9aRVWZjKZPlzhRjA FSspWdcNlWzn8qQh3mI6KqttPb1z6iobjTElglu7V5oroRsEdX25OOM+vIFWo1QscoAy9AfSgs8x EUCkR7Dk9vahq+jE0pKzLNpcJdQJPDnDDPPVfUfhXM+KLi5E7QWM0agoHnQHD/XPbgVtaP8AuIWs WdA8BOQOGKnBBI/E81xGvyKfE1zKzKi78fN04UD+laU1fclSvG5z4USXDhAx7n1PFbWhah/Z5LI2 JWIAIGeM8qfTPtWfpk9tFqPnzRmeLJAjUkHGOCD9T+lLcyRQ6pJJZFo4g+UyMsmO3PpWsXdBHWOh 6B4gFxqmjRrbbURxulVn2sMdh+tcNLa75IxG6xhk3Zk6n6/lTHvfOg3b5WkIYybjxk9/5Vs+HdNg 1S7kW6PmrDECioxCnJP0I60L3UPUztH1G6h1KGRRLPNkgJvPz8EYrvJPFENgYVuWKiQHJHzBSBnn v7VUPhDS40QxxziXdnzPNIPuOOP61ia14Va3jkubWRpIBksGJJQe3r3/ADqeZNlXOyjudMvYY71p iFnQkHzmjGBwTjIp+la5byxOGJiiWYxRSSyhvNOe1eRRTukcg8x/u7VGcgAnn6VY0oxR6hbPdO/2 dGEjbOSMc9Pwq7DuewT2iTSSTxBVuHARmLcFQc4xyPWvPdS1YaR4gmFnEHmJ8uQTqMLz/Ac4xz3F bOoeL7OxMYs2a6ym4noB6D8+tcjr2qw61dRXMcLx3DLtkXjb14x+vWktdxCXesS6jMrShVkUYBQB cc9P881r6JrWry6k6BhIrjjzwcfLyQMd/wA6bYeEb6e9im1BIzAAN2G2lgR7DqO9d1YaRDFDCzGN 2iUIjBMED8zSdraBYxNWe4utJS+tBfR3CkgQxnHOcHcPQYNUfDGurewSWdyxM6DKlzy4/wAa7OWO CAYeRIwSRlyB9a808TDT4NQiutHl8twefLTYFIAwRxzUqN1Zgd4VdYuTgE5AbvTRuQxleBk7u9cf oPiG+vdQjgvZfNB5jIUAAj6D0ruUiUDfxgfd/wAazcWnYBnmMsu0g4Y5B9qlUJMpPvzVdH8yMSYH DYX25p0O3LLuJVumKLisWmUOmzt7UmxUUACq9s7Cdo359Pwqcyfu1YgnnHFXTnyyUhTjzKwZxSvh 4mBHB4OBTBLG7bQw3YyB7VW1DUY9NgaVlLuBxGvU12TdOtBtbo5oqdKVnsIfMg3c7128A9/b60+O bEqxgnjpnuK4648bXJEgNrAAcgqGOfzFT6f4sUzRRS2hwWA3JJnGcYOMe9cXJI67nas28FVbDCqr eaWyMgg4HPX3+lPuUZGWVSOOtLDOs8RLqBgck9KkCtGrrOXHCkgk9s+1XjdKrFcE4PamTICFUkbP Qd6zppoop5BI2CTkcdqQG5K4R8q33j/Qn+lY2rahB5aGSVRz83OMDpj+dUZNfit5XMcYuUQGWWWO QFY+D8p9+OnvXNedJrl48iwExBQXwCQnJ+92HGRWmrGjrrQLFYKwZQWLFWGC2w9Oe3/16ki05Q4L E+vHaoGnSOYOsJaMc5J+XFPudRMsUkcKsHK/e6YzWbYDEhiCMf8AlmxOdxPr2q/EisoKEAg88c1H ZopQLxtxgjHFI2+OT5RnLjBHpQIW5iDzRGGVQ3OcjO79azV1eaDxKNPuf3cToAno7e3Fa5Y5+Vfm BHOOMVmeItLW/tzOsS+dEVZJBwSM8jI7YrSnLlkrkyjdGZrum65JdPqNu/zIwjiitmIby/UnjJz2 rk9T07VEBmngmQNlQ0+OT1PGevU10w1y1ijSObVL4zRphtgUKSPYjNYGo3n2uBRNqUs7A5w6gBT7 DrWs7N6dTGnScVZszIZDZziSNIs4wRtyCCMH61bm02+M1uWtiftS74gnORj26Cuq0Dw9p13Ywz3F s5kK9JCQD7geldTGkP7sIgHkjCgL93jp+lQ5pbI3WisjgZPB2qjbIkMZB54IyPwPFdRoOnR6WFja MCd0+c/0rdDr03CmTwiVkkUjcp/MVEptoB3kZJ2sdp7H+lMFuSGST7hGPYinWrsQwYjAbA9qg1HU YbO2lZpFUKOWY4ANQB59feFbuC9ZYwhgZm2OTxjPA456e1Z13ZT2QeKeDleQ65wfcHHSvQFv4L2w URSxzbsDejhgP/r1lfa9Pvx9kuGVlzhJOxJ7Bh0PSrVbuJyjbVnL6UtrcXUUNwjGJmAIUjjOBkmv SV0jSoYiTp9ouwfeMK8gfhXl93avpd0ELGQj5l8k88d/0ovtX125Rre6uLuJJB8sboUyPckDinUm ujInUUdFuehr430OOQweY8gwDlE4x+NTJ4u0aCZgLz92epCN1/KvJTDkqARwf4icUohYthI1DnjC sf8AJoSkt0CnNbo9Zv8AVtE1KSyjN7IzswZPJBON3GGx0rlrzw+X1CW0tVWZ4HIKEgM3A9qzfCcC y6s0N5d+XGkW5T5hT5gw4yT356V1EOvaZp+ruftG6SLIPn3G/cDjlWxgH2PUd6fPbcXOt5KxzOr6 FqGhypIyOqnAEqN/F1479K6vwzq327SI7d5ma5UsrM5GW6nj8Ktz674c8QWwtr+7gELfMDJIqlD2 JOfl/H6Vy8Fzpen6rFdW5jxbvJu2Tb/MTBC46+1HMprQ0jKMvhdzu/LEcccQ6BgWJqVCEhCjG8Do a5bQ9eiu7KR9QvYUlMpCq7hSF9Oa6QSb4wwIZSMhxyKzaaKBhj94rDIOWANSIwC7uhfkcdDVaeQR OFCgo3Jp8bvHCW255IGKQGbqGqwaXFJPcNudDsRfU+lYulLrGtJcXcUUEi3BMbSSEDZ0xjnOOtU/ GTn+0I49zfLFuYZ9TitbwDbM7XkqznyV2qYexPXcDn2IraEbK4mk9GVb7wHLFHJJDeC4kQ5WMx7Q w74OTzWfpejPeXLxhvs8207UYhCSMduv447V6m0W6IMhAOdwz0+lc5rPhyPV5VcSvb3SLwytwRn9 etO7BoWxmu7mCSG5KGaE+U5jbKsR39j7VeJCRhGU8glq5hfBuraazTR6si4yxIU88c11WmxvcWyr cMDKFAdguATUOOuhVgQqLdASNyjHPeq5tInZmZsEntWlPp4aMHzQoXnpVCC382IOjBx/eqXFgcjp tqm4W6MJDdMZmAb5EGeufQZHJ71tWFhFZ2RjlEBkVmG+P0J6E1l+HLK6t3ku/MVLWRmCh1JZxnkD 0wR1PpVu/u4riSe3AZ9oVZDHywJPoP178im99BEv2ZreFZvMDIvyhl5zk8VJblmVPNTc2eTjjrU9 laRx6aEjgMJ3AlckjOOvPP8A9etFQo3A4PHIxUW1C4xYooxlfTJBFOhVmXc3VufoKYx3wGRR8ynj H1qZH5DDpgAUwBolb/WRg+4pggaMgpLkKuMNUwOS3PHao3b5tw4A4A9aBDVEVwgWSNWU8lWGeazT 4b0g3If7DHuHzDBOPy6VqlMJszhmBORUds37ncTyCQxNF2hlXUSbeJJIhjnbwelN02UNFgktISdx qy3+lxFHHGcYrGcPZagyrkw/dFSBvmREX536DJqvNfRxw70GR3bFZ8+rQRW8olnjDFeATg/lWMLy +e3h5jTcoKwIpd8EZyemKTkkQ5xjuXn1KS2ukSILLLcfPsLgY4Jyfbis23hvdZJZXVCWPzFWZBgn G35gGPA56fWp9M0/zZSji5hVx87kBHkbnOT6DoB711ltCLaFI1+4gCjvwKlJy3ItKpq9jl5vDkol aR7t3friWONgfrhQf1qdNGj2RRTvKyyITgOQgPHAXOK6CYrIdnBz39KQQJKOo2qRtx61XIilTguh zlloun24SeZchDgq4GCw6cAc1pQmGZAJIUbyySvmJkAe2adNCDerDt+UEyEZ6npUcjbXkb1IVR7d 6aSWxcYxirJEFx4Z0uWKVIYhAzYIkXJwc88Zrm9d8KnSbYXtvcPLGrjI2crnvx24/Wu1tJMx7D8x U4BbvipriD7XZTQk+X5iFcjnGR6VpGbQzltJ1ObW1+zNLDb3qnezfZ1YMv48UmrX1/pGo21qt3hD CWZ44VXLEkZIweOB+Vc/d2dxoF95LORIAGR4iR5in/8AVWhokC6zrh81Ge3Yb2MhDFV7jPUc8cet aWSd+gmdZFYvrGhwPcs+8qGEqKFdSDyQMYwcfiK8wvUFnqV1ZyRlRHKwQYx/kEc17e3k2lkSMLHG nGTwBivGde3XmsXV0knmjzWIKkfdB6g1DTT5kZ1U1763RHC8bMjTNiMEZVcbse3/ANeuk0XWTo00 lrKGkjZsqu4DZ3wc9OtZEl1YLpENtFbIZ2BMspA8xCG47DqMfnUdr5lgSZkG6aA+XkcYPGePxrTS SLvdXR0Wn+MEmvWW9gEaucblOQPwrdm8RaVZ2rsLqKdlOFjjcEk15026PBEoKMuSoPJz2wOnSmKh YvhxjG7HTP8A9el7NDuWL2e51G9uLtm5cnp0wOgBrvPAWnXNnYTTXSFBOysoPXgHk/XNZ/g+0s73 Tr+CaPCgZFwwBKj644Per2p6nLcXqxaTfM8axrujTcC3ugCnPHXtyKJSUdGS5qOrOvOXTy1XaF4z WXLrNhbFxPdRmeNiBGnzyEdeEXJPT07VhajFq8unPdSzy2FpGgQJI5aWRc/xEcDPGe/615wCY7gy pgAPkKyqV+nSoTb2QnUk/hR6+niHRr5l8zUI4wQcLMDFkf8AAgKv6U6ur7JFkjU/IykEYNeS2klx eExZkM27yhEH5AOWzn6+teo6PplnozOtqJMTY3F2z06VULydlqKNV9djYdVkQoeQetRW9lDbR7I1 4znk1LnDrj3p9UbHJXUIu4/3UskSRg4WE7cjHTA/Cs3TrK8TUxcOfKtkAdgx+eQgYBY5Pqe/at2G ExyN2XjjHeo72QT20qxtyhHP9Kw5mIlV3aUjPOBx9c1Im8s7EAgjgCobP95EJOpIwfrVxV4K44xy f6UgM8yPaTksAUkbg44+ntT7qRIYxs3eZI3yKPWn30H2iLYgAZSGU+4qjuD3FtKG5VipJ7HHSgC/ FJIDlwVJHftT4sGUuBkDhc/qahmuCdkaj5yckdeKcJGRgOPXj09qBEOoXUkcqxwsBIehPvVa0uxF EztIWJPzBuPmrG1fUXe8eGKZUlJyHZgBGueSc9B/Wofsk0tqGiSOaIE4MkzMZctgkYOB+R7VLkRK pZ8qV2WU1+XfM8JEoLfM+8Kg9gT3+lVbjUp3s5YyY4Sx3eYZQ5UeoA61p2ekSySxSXBieKJThI4y u1uOeWOSACOnetQ6YflKMCCuCDU2kxWm93Y56G0mt4giERxOcF3i/eNgdST369RWlb2SxIzxu8vm HJZ356Y/kK0k0/zbZ4Zscj8jVeCJoZkjJzghWB/mKpRsXGCQyKRl2oQYpMbvnH9auec7sFDgBueP 4qzdT12ytb4WbIzzAhc44XPqfyqzc3EGlWSPcA5T7gB5Y+g/OqsyrlpSWy3zYb5eB0qyjlW2BMLj jGOK5bVdVuI/DgkykU0zEFN21lX25ye3PvXKx392seyCVk3/AHsMcAdOnvVqDYrnpMtxZC4RZZ41 lZflBbBx7iqCxxrM6N83JOSfvH2rgIZ5JbgBiHkYqPMc5I7V22lXCX8Rl2hJYDiQE5JHt6CicLDu aVuDJG5U7AOh96mgeOQkKDuHO0mmW8jSwFclCcsoI6rmotOjbztwBIwcse9ZgZ/iLR/7YiDxpsuo lwgLDDD0PpXGwS3uk37L5sltIP3bbjn+VemXYAmt+PmLcn2xWPqnh+zvNTEzB90mPMGQAB61rGdt GBp6Tf8AnWhtjcJdlV4kB+9nPb9K4i50+9t9RuL/APskJbRyElCcLtOeD7YNdpbW9rYzbbeFELAY Cjr/AJxVS61YvqkWmpbLNEXxcGRcgnjgevBojJti9Tkp9N0uS9sSLmdYXg33AjxKyHkBR3ODj1OP xq/qdjpx8NubS+jla2k/dg4EhUnncOuMmu2NzpekTw2/kxwyXBwghhABx64FUdf0qUKl/pq26vGz SzRzuwjf5Tk7RkbvfHPrU6w1Wxlyyp3a1RzXg7QItRgnnuEbbE42yLICCQAdpH41f0vQdNm0bzZo /IupWVImcltxGDlRnv6Vr+CrV7XQJJpDh7iYy+XtxsyBx+gNYl5c20FzMYFWXXnkyzsv7q3w2C2c dh+taOatctyjy3MO41BDNd2FtKbexUgNAXCl3A5LHqec8Zx0rptI1y30DQ9MguIis8xZzuUDZGzk 5J+h4+lbPh3Sxp9lNKQA8rb5JJBhnwBlmyeMnc2PeuT8X3NlqerxRWqtJKmEMsZDowPIA9+amCb1 ZMIv4mT6t4mubiG7T7bCI3k2wwmIEgerEjHH41zl6t3LcAtaOkk2MDywu4ADpgY/QVtw+DryOOOf MMm7GYXyD+Yrp2tJZ4YlkK71xuwO9U5pbGi13MTRvB7eZFdTXP7xSrGNVAwR2J/wruzCJBsJxgDp VH7OkVo29mUcbmXrxzWgjB0jkHfFELp36hyR1XcasTqw3yBgO1TIDg896a5GaT5uzAfUVtNNpSJg 0m4mNIW8mNN37wYJFQxQxxRtCy/N1ye9LaymWQ45BAJJqywHmHOOcVxljbeIIWjU/IfmHtmiTzAQ I3+XPJNEI2yMFHyE8D0xUipnJ7k55oAi2s6bC+SDkkdqy5NwuNigEwy72x3znH86vXdyYtqr/rGB 4J4UeprMnv7ewtppJRvbO4hRkjJ46ZJ60N23E3oaVqQolmkADbiTz0HasW61aKC7KbneRmKxKuMn HXjjiq8moj7MYfLuWupcnZ5LrkZHQ4x3FVrNpZL6Z40Ek7KV3B8pEmRx/tN349KhyRnKotovUmgS W81Ly2Qh5WV5ok4KIudoY56k4P4V1a26Im51UknLEiqFjFHZWscduvzY645Y45Jq3+8nEQbG1fmY A8k00u44QcVruWVdSMqOP50hPRCQvOc+o9KVYU245AxilLBQyE7sMBVFjwoLZx2rE8R3kmnWq3Vv ErtnazsMhVrQuroWkZdsFipKx5xux7ngfU151q3iG71mXYCVg5AgU4B9/erhG4EIafUbp7yRw7yP zxjkcDBp00d19i865WSbLEK0rFgD6D3rd0jQBdIrXCGFAwztGA/TgE/596g1OdnS2JiYWizmFgDk HBHA4z+fpW9tLoz5nzWI9L0+98QXC3F0/l20YA3g8ccYAPX3qpHbQ2Gr3EV+d1uisvzDacdAwGa7 PWNTt9KsoQiDZJgRovAPt7CuF1bUJtQmLXXlMR90R5wvrj9Oazi2/Q0G293FZsksKOXQ/KWTIJ9R /tDrTtOlvLvUmltizTO+5yWxuXvms8A5zkeqAn7v4Vt+Gkla+aXLgH5QccZqpaK4I7S3k2xxxmMi UocDrxn1qzYRmKL94wDMemaitgFaRTnep79uKbDIJZirtmMn5WHGD6fpXOMkkbzNTjU8bEJJqOe7 hEx2oZHC7QF70spRdQWTI+7jb1zToo9128mPLUj5VJ6mgCrp6SxPcXMq/Oc+XEDk1xUeoSWOoG6Y MJlcsoboo7gg9/8ACu7hiIvJnA2xqDtHqe5pk6rO/wBmCBy7YcMMjHr+VVGXKDVzitU8Q39/dQXE gA+zgsmBjrjB4q/4Z8Q6k2qRQy3TSxSNhlc5PfpnNdJ/ZOmx3oWKyhjKgMWC8msG9jt9I8TQ6jLN 5MJf94qqfmx16CtFNPQDo7jTdZsbx/7DliFtcj50n5WBum5R1PGOPaqtv4ebRZW1O6k+1SndLcMw /doASSwHXdjp+NaieIrRdP8Atpctb/3h7nH9a1Q0N/ZFcrLBOhBwchlI9qiMY3IVKKdzGsPEWna1 b3qglYIRhy5wGX1rOtNKtbPUnmt4WiSWJTEr53KCO4PI6fpT4NDjt9Wa60C5tjbnbHc2yuHGOcnr 19vrVsXVxqV7eQm1WOG0kOJhJyxGQBjHTv19KuW2hZfXIhXIIAGT/hTQp+YLw0jdTUgO5ox7ZNEW 2SZeRndkDPvWQFxkIt1iJBZhg8dfWo9PJa3TPRRjHoelSTyokypsZmKnoCcCpIlRF2oCOecqRW1i hzDvSYPbpVSaRrmR4EMiRrw7qpyfYf571dVgQPvnHGSpGf0rRTaVjNwTdzhZrl7C/SKSPYG9Tz+H rWwk6BBl93c56msq6YXl7bDd5vlrtkwOAcdaurbyEbsoVboWAzXJawzRLbmCoc55JzwKkAOMKe9V rdHEQVsA/wCyMVZUEcDr70xmZe2hdpLncRiPbj9aw7dbSW9uJZxEXVEIZ+3J/KtHxBqK2rLErh7g gFYV6t2yfQe9ZGmWLXF4l1LEsu12eR2G3D8KAoI5xis5PWyMpyu0lqy7a2VjfX9000SStlWWQjJA I6Z/4D+tbKW8aCKO3jSOKMDkenoKvQxxonCqAB1Ap9ptE21QMHmqjEuMUgtbSNY19cEHBqcWSqnU mo4YX+0SOjr5WcBcd+9XNy/NzjHWtlFFELRqsecKOOpqC1jUxMzAZ569SfWobq8ht7N7y6YRwR9M /wCFZEmtw3qPNZ3UkkKjmMIFAAB3DJGecj8qWgzlNf1q6unkLJPEsw2IuMKUz0+tYG9FgBEeJA2T nnitGON9Yv4reABBg7MsT5a5J/EgV1Muj6XpWhXQfcyypydw3sR6Z96u6joSUvCeqCNTZ3DyPGz7 o2zlV7nnP0/Gui1drNrEvOqSW8eHIVc5PbHp16159os4t5JNyxksMfNxjnse3+FOvtRka3+xIZ1i X5tnmDqeT06j0ocdQ6i6hqs97dF5GOFJ8tGJxHz2/wA96gldZQjbmY5wxYDk+wFWdMsrUiMXT7ZJ OVB+XAyedx47AfjXRJpa2pWOOOSL0UqrEgj+F+fz4603JITT6HPaTpS6hdsJHeOIdWOAetdrDHBA IrO23SLCMA+vr0ptrpccCF3GzByOMgf4n3q/9n8q3EqE7h19xWMpORQzywGfcTuYLnt7U9VXygQh VIyflHrUcjqiSM/3wQc560jymNWIGA8gBz9KkBs6iGUSFwNv3iR2q1GHIVMl9vcAdaoairSW7BTu KFt30FaELE48tsKwzkDtSAGgwzTIcgKfkHr3pLWGNFDLkyMdzE980+Bo5XIUNsQ4J7FqY6+TchEb CuCWJ7UwLHlB7lywyCAAfeqmq6Nb6hHiRN6n7w7/AFHvV+JokxGrZI96kbBU570wOB1PwjPHasdO nYwuwJhdu3/66rWd9rfheVWkjkksVYqFLZX/AOtXoYMbRjg7QcYrOvbSG6ge0m/4925bHGfbNWpv qBhW93cahdJrGhNDDPg/arPcR5mCcfUkU/UtU065na7d7ixvYpo47iIvjKc9hwakGj/2TH9p0RIz IThhKTn6A1HpmiSXN8b3XDFJPtwsWwBevU4wCarnQHRWs8dxbpPbyb4WXKnH3h7VdtsPLtHBXmqz IHTYqhcDC7eMVZtYnRBkkOOp9RWaWoF8KPN3dyOtVriRpZvssQ4/5atnG0EVZBywwD07il75rYYk aiNFQZwowMmnUyViiblXd7ZqiuqQc5LZJPHpSbS3AxLaFTloYwjOSxC8Zbv/AFrQitwvJPPr3/Cr 8Fttj+6A2TnHrU3k5VRgAjg1HK3qxWS2M/51G1FJOcE44FP2bcc9BV94t8ZQcVnTQzLcYIygUEH1 NS42A4Zii6pf/ajNGxucSsmQREQdvPpmuga2S3ihtbWFUQDIKjG3FM1bQpriU3VqV88/K6v92Re4 P9Ks6Zb30dl5d0VZ1+VTnJCjoCe9ZJNMyguWVrEqefI5jDFAvbGM/jU9v50crYT514wTxj1p8IlO Wk6jsO1agRRg4AOODWsVc1KtswEB5yRnJHqallb7Pb84OeF47mo4oyskvUE4OajvZ40jQTsI1Vg7 bjgHH/160Gcb4m1iIWlzZLhmDBAGGc5+8R9On1zXL6dZTXMTLb2wkJHMn3jx0AHGK3X+wT+IYLVI leGLe0krHIJYE9emATUOi6WIPEtvC1wkqhGf9xJkDrwSKa0RJ0eh6RDZaegW22XEkYErH7wz1Gax fFF5b6qba2tW3PGzgjGMds5+ortd0cKBmZVBIUE96851y2nstcmvVspTbJKGDsh2HoTzjFRDV3Ar 6RpcuoF1Iwi/NLJ0KjHB56g+1URJGkv74rL5Z+Tngj/PrTDNPKpIYlXkBIzjnt/P9a1bHw1fXrxk KYonztkccH6DrWu24FfSrKbWdU/flhGMGRwPujsK9BsYooVlfaAkOUTjgKKq2FiLeMWajasIAY46 8c1fkxsWDjLNliOmOtYSlzMZNGS7ZfknnHYU2+uhEkY6K7bafGGZsBQE6/WqOoQSyzRyq3yqcipA rylp71QgLOWBORwFx/8AqqxqPywxheMvk1BaXHmtIWX5t2eBywFXLpy9kzsADkcHtSGQ3D7LKWVe 7bh71PCCiQquQu0dDiqUC+bFbRk5UM3B9qnupvLjWGAgztgDAyVFAi5arG8cqRkqiyEZ659asToo gkAAyRgZFU7b/RkEQGUHUk9fU1ZlQyRSZyMrgAdqYEMAAbDKd2Bk57+1XHO63YLgcVQthJPCrO2F Axxxmp45RkoSQV5IzmgAjlUIRn1J+tVVcSBosEjrgdzTgruuxRjMhJPt1pFVLZQVBLgk/NxnPpQB YhGHdcfcxTLiAuRjG1epPHFPjfewaMfKeWJOMcUSBnjkCk7m6ccCgCpHPLCwD52tkKfaty1neQAF frWNKjONo+7E2Qe3FaVhdwTHYpxIowR7VUNxml2opFYkcjH1pcZrUCCdmELgjiubu7dzcFo8Ybk/ WukutnlHepPoR2rOECkZxn3bms57gbCrtXFLihXVvunNLWgCU19g5fH40SP5aFsZ9B600QggmQlm I59vpTt3E30RHchfK2gcnpiq23bwBirfl+WpKgsfc0iL5rlnHAGAuKiSTegl5iSnyl3KBk8Uud+w HqKbdYAUZxk/yp8RBAPTPJz2qihj/u3aT1GCK858eMbrUF2bRHANu4OCXYkcYHPHNd9ql5DZwm5k ceWo+YD0rg9GsY9Y1e91C5tma3EpkiLEgEk+maLpaiZhFbnQla3lkQ/aVVpoRz8vUAnHB+lXtDdR rllJbqIYnYrhSx38c5z+Fa91pejWGrJczyqzMq7LcuWO7nk5PTjHpWCINVuL5721tbjYHLwskZwo zwFwMU9HG4r6nb+JL59P0WWSOQpIMKh681xUNtqmpW/nzTSC3mfbl2OGbGen9eldLeGO806ysdVE kUtywDYPOQOOvSoINTstQlsNM063uESCZWPmKAu1c55BNRHRDIfDOjo2nhr7T0ZJD5iu7HcOnGPT vXWS7YIzN02jCL2HtTVkigQO/wAsYO1RjOfpioXma/mRY1KxRsGyw5Y1nKVwHJE8ryysCqtgZ9gK esDRv98MG53YwRVkbIhszjPaoQzSRNIg4Byo6ZFIBZ5RHZSOpAwD096z7/I04NuII2nA61WuZ2Iu Lfkbyu3ccYFaN9sFk+8bRwMgUgKGkRh4yTjdnaPan3J+0NJHD/q07L/HUdiHhkMbKUMwOzv61qqs drB5ceAMDLMOTVRV0MreTHZRoQwd0Xb6kk9gKsRWXzjdhXk5YZpRHJvhBlQM4yRjuO/Soor0l5JS DtTK9eWPaq5UOxe+yomYlwS3UDPFLHbs8jIrZjTg57nHT6VV+3N9lcujCRwdoQVJFqSWybdu+TGX APf3NOyFYq3wkhiS3GFycbvQDpiolKC9gt4j8hw3XOf/AK9STyy3SCSYgISAE7DP/wBaqOnpcSXS rChYIQ2T6UuVDsbqwS+bjjbJnB9xTvIy2x8dPSmzXPkxtGMb1JOTztFSRSKBzvdyMsc8fSnyoViu bN7ZtmcxHPJ9KfFAQD82YiNwPp7VcV3PDDAx8xJ4FNVDHJJlSVboo9PajlQFVbdNuPMXB9aznja0 vxJE+D79Pp+VbMlvGSrqcL14qtewIis/QkAcdM+tJxsBpwyrNGHU5B9KlHWsDRZ2jjMTZADHBJ61 sNONuUG89SBVqQEsyh4WXGeOlUFjuBkLFwPWrkk4jCk/xVF9sOeEyPUGlK3UCWIhLdpGYAnLE+lQ QvIZziQAt/eHWsmWOOZd6WpSRhzI1uTkYx/LA/ClhitUAMtr5hD7gRARzxzitnLlv1Mfit0N0QFm DSSFsHOB0qaoYrmOSNWzt3DOG4Iqrqt+lnZtJ5pjG1v3gXcFwOpqG2zRWWxdlV2jxG+xsjnjpnnt 6Vnyy3ceqLFkC3MRZm287s4A/nVWw1b+0tMIt7yBrsLlgp+7z3q3bNKIybx1dyf4Bwvt71LHcZJe wPfxQm4VZM5WJuGIwRnH4VbmniggeWVgoAOa5G6sZRrNzcXewW6EtHvAOOnOfwH5Cs+/W/mYLpts ZLVnUmaNsg5PI69aBmfrV9fXV9clpnNn/wA8lJIUe/GPfFdRoNtt0i2KkgOm44Pc9TWvDpOmur7L WIhl8piQeQOCDVi6iVLcBV2gFRxwcZpSWhNjFays72YxXNj5hiXh3XCnnpnrms3VdWj8NYgtIYiH +YQ9Ao7nPXJ4qS+8U2dneFN3mRhOfLBLBhnrnjFchfazbX+tNeTQPLFtwqM20g9umelEYvqMmlvL oazb3rXg8x180biW8oNzjDegPQV0Oj2FrpVy1zDcm5MyHDbdoHNchY2h1PUDwFRuNoPT0Fejafpi W0Me7BwmAp6CibtoIltrd7llkmGEQAKv9avrHGkZYKFA54poOQMNhRTZLlERAeA3HPashjSBnzWP J4HtTEliWKOPgMwHHsarxzBrULuyFfO49MD3qCGP7TcNOXCQFSisTycHqB6UAVpsXOuBVHyKTk/S rs8pupXgQKY0U+YWOAD2pbaKziuZGWWUuFOVKAfrk0JsWN/JCpubcxZslj78UWGJbweVJHcPPExi TaAGySfanzGSaaEOUyrAlAeKijgZZpYyMbmDqOx4GaSWZS8Rcj5Dsx6sPWqi9BosSLI1/vQ5whXJ GAKmitoYoWTJD5yxwDSmdTcmLC70G5CO4qXEYi3blZ8YAP6VQFOOYvBHu/3X2nbg/hTB5MWxFgAy 2078k5q9BDDHHJMyg5OGA4yBUlxHbyQFtwRlw4b6dPrQFzPadLiOMtHgKcEDsf8ACraPIiKLdViB OMgZ/nUMbW3nStvADfeGBwaswywRwkiRWjHGCev0oArPczxJO80McvlYLEDB/wDr1obWltxJHgHG cEcGqsSLcIxeVQXBDKKsWzKI/JeTkcKc8e36U0BNCVaNDsHPTPrTlQrIGZ+ckgVD/qVwjAAYyDyK dHJHLGMttb2707iJ2VWUhhjPfpise78598PIIIBPr7itJpI1YK0mFyDzUFw377cpBx0PrUy2AyWM kT/KDuXk/Sr9vMbiISRMUJHNVLh2ebfH97GOelSWeIGZGzlmxnPesxEpvJI3RJtrb+gJ7+xqcLBJ 8xDIT1AqC7tvOeJgPmU05nkU4KqadwNiJSYArDj09qSaHzFAGAR0NSDKqPl3e4NG8ZwQVPvW6bQN JqzKN3AILWaZAXMcbMF7sQM4rzzXNUuPEOnW0dvp8sRVjIx3E7l2npwMjr+XvXp0oEimM4IYYIIz xWfDoWm2snmRWMStjG5Bg4qnOTWrJVOKd0jn/DOnrZhAlphmjwLjBzJk5wRjAx061uxW0ltLN5kr yb23cjgD25qc2yosUUUT+X0whA2DOcnJzVme2juIGhk3bWXacMQcfWs2rlFHUNLtNStPs9xGWSTb uwSOn0rnYLa68NtPYuQdNf5kuXX5jIeccHgcHnFdXHCsKxwLnbFhVLHJxjA5PNc7dS3s11FBf21r MzsUyhZRs25PBJyc+tF+gGtp7tFbKHIyxLEKhBBJJPUmq3iK+u7XTVmsoGlYuAwMRcgdc8Hgcda5 nw9z4ruljCophztD7gpwOP512dxcLb6c8rOCNh2+57ClcDznSdEbWfOmnlzmRiVTjk96tX3hmS1t oYISxYscFmyCT610Ph6xktbbzJG+eZjK6kAbSe1bEgDAMw6UpSaYkcBaeH75JrZ1WMbMkkH9P84r qI7tnSMI20jO7Pr0xWsAgdgFAPciq7WMVzE5fCEvwRwQR3qW3ICs2blUeSUxRt90DJJwcf0qT7Gj pmNjKq9ED9/oakMMquqny2jVQAeQT9RnAp0VvG24tGpycHHek0kMqmEBBE0Uc0wzvJZsZzwPpUog lk2SEYxxs4wB6Cp0hhhlIjUrkdPQ0+J+MDLcnkUguY9tltQnHcnitOSFkcOiZAHIFQRRos9xc9CD zz3qxvd0UcqH5Y+goAl2s6hht46Ajmqd5YK8bTRjB9PTJ5NSSyZR053Adv4RTIpdyxiTpjOygCAR vHfJjugX6iryJvbGNoU5I70x3T7QTzuVRux0HtUkRYRK0h+Zu1ABcSx2ybnPB6LWaxn1Bhk7YlPz YPX0qF5Hv7jdLxGjHgDP0rSt03oMkjnKrnkD0NAEDWcaeWRnGcOPUetONjDIzFshM4HtU01wsTKp jYkcY29RTI5fOkVI4jjG5/QH0oAmjiW3iPmdB3HpSIpSTgBgCDx6GnxptUgqcHjDelVycXwWJif7 wzwBVRtdX2E720Ljb3yM/LTBGQc46dMUqSKxaLd8wAPXqKWMHaisc5Ug/WqqRUZabCi21qOZd3/1 xTMvGPlU/TtUbJtP3j8jjBz29KLiRo1Zt3VflHfNQUBtfNdS4KgEE4PU02SMLdK7D92x+X61PbyM 8S5xyPzqJyblvLRyuOuByKbi0k+4k0ySZ/3gUED39Kglnjjfbt3nucZqQRQwuGZssD3Oan87dyd1 LQZsEYpOvWlU7sHsRmkrcYmAOgxSMwRSx6AZp2OKbj5ic8dMUAMQHaWYEMckgnp6U5mCjJ/Kh2xg YJ+lMQ7pG3DHoKBFa6mFsjXLg4UfdGM/qRXLR3bJqzzxzhI5Y1kkVoy4CYP8eePxrq7myju2ZZkW SM4yjDINU9Qti8TXNuEW4ZBEQ/3SuTwR361IHm13qN1YeInurd1t3kCiRcBvqP0612U0p1aONIzE 1vDKrBo5MnKn0x/Wud1rwpexzPc25SRJG4jjUkqMeuPapfDmpJYobK+Mtu8ZCiIrwxY5B9jzVxV9 iZNpHXqeiKCW6nAqVpF80KTnIzxSkj5fL2lSOWHeoSrNMrj5eD27Vk6cr2sHNG1x+cSnPR+lTEDy uATuO7/P5VXCO8o352r81WJr6JITHEGJ24AUVKKEldUjJOPxqqoI2iM/fbLEdhTBE0372f1yqelT JGVIGeP5VIAsaorE5LMepHJoDeSmxeSB2p/mEIN2OTiopZjDFuxlmIxQBEiBQ29sbm3YI7/SgzBw CmVTPzMx/kKg/eP5THOerH1ozEoRZMMGJxz070AEQeaI/LgOfmJPYGnG4RHQqoy4J3Z/Oo0ut6BR kIp2moUX5FHLCJjsXHLZzSAswAjdLO2FLEsT3x0qKe4lvHMUJUDHLdz7ChbZ7ldksp3f3RnAq/Zw LH99V8xeOP51SE9SG20/bFhgVPXr396sNATF8ibXXkY6ZqcDAyTn2FQ3N2Il2Lkyt91R1oGJHIJY GLt0znPUVWAYECJZNoOVJ4/yKmSIRsC253/Pmop5ZXEkIBSVRuUirUY8t29Sbu9ki6u9yCeDTZfK h5O1WI4460W0++Pc2QTwfrSu6BCOqnuRnFQ0O5UtChkaVSSSSrZ9qtqHY5GDjtmsy2t288jeWVs5 IJAH4VdRnhYmTIXdtDdcehoGLMjEq+0Bh2FMLi5dCeUUf+PVZcFwCTuHfHFVImMUyxBTg8nGKALw AjQnHaqtiNyPIP4zT8yFwFZuQSQ1MjV4lPlSBsEBl/nTbcndiSS2IrnaoVRwWbBpZsJKQWIqGaSN bhfM3Fh2XOao3SX1zcM8KOsfQAtmpGdupw7AdOtOJyaKK6BibgqkkgAetQDcpIzgsSQKKKAJFXHJ OT601Ruyx6k9aKKQApwzE9aqMvmxzbicE/lRRQwRQv7q5so1ktY0kIxvVjgYrmr3XdA1WS5xbut3 JFujkdQAX28c56j+lFFOInoaXhYSx6MkM6zCaNmDeYc9z0PpWxu7YOfSiita03Fcq7HPTipNtjjG ZY0AbCk/Njv6U1oFJ64b3GaKK5GdAqEtH8/bjd61Bc3qQKAMFm4AHU0UVIioLxVVQ5DODnapz+tN mvGnYIQPmO0Ip9fU/wCFFFAxshubjbFGhRR14xnHbNLDZiVlVywYHv2oooAmOnx+Vw371TyR/F9a JIFhbarHa2chux9QaKKACS5CsFCjzwBkE8f55q7ANsQ3EE929TRRQgJjgKQcjPesm2Jl1BnI5RO/ btRRR1EaQ/cxswHPbvmownJlJO9hjLdh9KKKBjBDKYY5IjhxnPvToJHcYdNjnqPWiimnYW5JE4Yj kA45FJPCDEUUHLcYBoorSSXLFkxfvNDN+xxbIxL45PpUqwqZWI6EAE0UVmWNkYvMBEmdvBbOKa0f lEyyOckY64FFFICoUBnMoUNHwxJ/WnSXiRPsVyAOwFFFAz//2Q== dataset EPSG 6.5(3.0.1)