U.S. Forest Service Automated Lands Program (ALP) 2022-05-23T12:28:56 083515 S_USA.BasicOwnership vector digital data http://data.fs.usda.gov/geodata/edw/datasets.php An area depicted as surface ownership parcels dissolved on the same ownership classification. This data is intended for read-only use. Basic Ownership is a commonly used base layer used in a wide range of Forest Service business functions as well as those of other entities. 20151231 publication date Complete Weekly -150.007671 -64.734329 61.518990 17.738983 none Basic Ownership Owner Name NFS Lands Land Status USDA Forest Service ALP Land Dataset ISO 19115 Topic Categories boundaries planningCadastre 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. 2016 Vector Simple FALSE 67 TRUE TRUE D North American 1983 GRS 1980 6378137.0 298.257222101 CommunityProtectionConcept_PlanningAreas_w_Implementation 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 67 OBJECTID Internal feature number. ESRI OID 4 0 0 Sequential unique whole numbers that are automatically generated. OBJECTID SHAPE Feature geometry. ESRI Geometry 0 0 0 Coordinates defining the features. Shape Feature Feature String 50 0 0 Acres Acres Integer 4 0 0 PartnerAgreement PartnerAgreement String 50 0 0 Status Status String 50 0 0 PlanningArea PlanningArea String 100 0 0 SHAPE_Length SHAPE_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. SHAPE_Area SHAPE_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. Implementation Implementation String 50 0 0 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. 20161118 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 CommunityProtectionConcept_PlanningAreas_w_Implementation 619138.465212 741122.269874 4359231.974402 4463075.852700 1 file://\\usda.net\fs\FS\NFS\Plumas\Project\SO\DixieFire_LandscapeAssessment\GIS\CommunityProtectionConcept\Workspace\lyneecrawford\GBI_Request_20220912\CommunityProtectionConcept_MasterData_Aug.gdb Local Area Network 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_10N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-123.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26910]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26910</WKID><LatestWKID>26910</LatestWKID></ProjectedCoordinateSystem> NAD_1983_UTM_Zone_10N Clip "ALP BasicOwnership" tmp_PlanningAreas T:\FS\NFS\Plumas\Project\SO\DixieFire_LandscapeAssessment\GIS\PostfireLargeLandscapeRecoveryConcept\Workspace\lyneecrawford\RecoverPlanningAreas.gdb\tmp_AmericanValley # CalculateField tmp_AmericanValley Feature "Greater American Valley Planning Area" VB # CalculateField CommunityProtectionConcept_PlanningAreas PartnerAgreement "GBI" VB # Identity CommunityProtectionConcept_PlanningAreas tmp_ClaremontUnits T:\FS\NFS\Plumas\Project\SO\DixieFire_LandscapeAssessment\GIS\CommunityProtectionConcept\MasterData_Current.gdb\CommunityProtectionConcept_PlanningAreas_w_Status NO_FID # NO_RELATIONSHIPS CalculateField CommunityProtectionConcept_PlanningAreas_w_Status PartnerAgreement "Covered Under Other NEPA" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Status PlanningArea "West Slope Communities" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Status PlanningArea "Greater American Valley" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Status PlanningArea "Eastside Communities" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Status PlanningArea "Greater Mohawk Valley" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Status PlanningArea "Greater American Valley" VB # CalculateField CommunityProtectionConcept_PlanningAreas PlanningArea "Greater American Valley" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Implementation Implementation "FY23" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Implementation Implementation "FY24" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Implementation Implementation "FY25" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Implementation Implementation "FY23" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Implementation Implementation "FY23" VB # CalculateField CommunityProtectionConcept_PlanningAreas_w_Implementation Feature "Blairsden Graeagle" VB # 20220919 02315600 20220919 02315600 1.0 150000000 5000 FGDC 20220801 10450900 FGDC CSDGM Metadata FALSE USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 data@fs.fed.us 20220919 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 CommunityProtectionConcept_PlanningAreas_w_Implementation 2022-05-23T12:28:56 U.S. Forest Service Automated Lands Program (ALP) vector digital data <DIV STYLE="text-align:Left;"><DIV><P><SPAN>An area depicted as surface ownership parcels dissolved on the same ownership classification.</SPAN></P></DIV></DIV> This data is intended for read-only use. Basic Ownership is a commonly used base layer used in a wide range of Forest Service business functions as well as those of other entities. 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 planningCadastre boundaries Land Status NFS Lands Owner Name ALP Land Dataset Basic Ownership USDA Forest Service Land Status NFS Lands Owner Name ALP Land Dataset Basic Ownership planningCadastre USDA Forest Service boundaries 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><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> Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388 -150.007671 -64.734329 17.738983 61.51899 0.000000 0.000000 publication date 2015-12-31 0.000000 0.000000 1 -121.616845 -120.163651 40.309708 39.348915 0.000000 0.000000 The Forest Service has multiple types of boundaries represented by different feature classes (layers): Administrative, Ownership and Proclaimed. 1) ADMINISTRATIVE boundaries (e.g. AdministrativeForest and RangerDistrict feature classes) encompass National Forest System lands managed by an administrative unit. These are dynamic layers that should not be considered "legal" boundaries as they are simply intended to identify the specific organizational units that administer areas. As lands are acquired and disposed, the administrative boundaries are adjusted to expand or shrink accordingly. Please note that ranger districts are sub units of National Forests. An administrative forest boundary can contain one or more Proclaimed National Forests, National Grasslands, Purchase Units, Research and Experimental Areas, Land Utilization Projects and various "Other" Areas. If needed, OWNERSHIP boundaries (e.g. BasicOwnership and SurfaceOwnership feature classes) should be reviewed along with these datasets to determine parcels that are federally managed within the administrative boundaries. 2) OWNERSHIP boundaries (e.g. BasicOwnership and SurfaceOwnership feature classes) represent parcels that are tied to legal transactions of ownership. These are parcels of Federal land managed by the USDA Forest Service. Please note that the BasicOwnership layer is simply a dissolved version of the SurfaceOwnership layer. 3) PROCLAIMED boundaries (e.g. ProclaimedForest and ProclaimedForest_Grassland) encompass areas of National Forest System land that is set aside and reserved from public domain by executive order or proclamation. Please note that the ProclaimedForest layer contains only proclaimed forests while ProclaimedForest_Grassland layer contains both proclaimed forests and proclaimed grasslands. For boundaries that reflect current National Forest System lands managed by an administrative unit, see the ADMINISTRATIVE boundaries (AdministrativeForest and RangerDistrict feature classes). For a visual comparison of the different kinds of USFS boundary datasets maintained by the USFS, see the Forest Service Boundary Comparison map at https://usfs.maps.arcgis.com/apps/CompareAnalysis/index.html?appid=fe7b9f56217949a291356f08cfccb119. USFS boundaries are often referenced in national datasets maintained by other federal agencies. Please note that variations may be found between USFS data and other boundary datasets due to differing update frequencies. PAD-US (Protected Areas Database of the United States), maintained by the U.S. Geological Survey, is a "best available" inventory of protected areas including data provided by managing agencies and organizations including the Forest Service. For more information see https://gapanalysis.usgs.gov/padus/data/metadata/. SMA (Surface Management Agency), maintained by the Bureau of Land Management, depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. It uses data provided by the Forest Service and other agencies, combined with National Regional Offices collection efforts. For more information see https://landscape.blm.gov/geoportal/catalog/search/resource/details.page?uuid=%7B2A8B8906-7711-4AF7-9510-C6C7FD991177%7D. 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. 2016-01-01 original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VS5TLiBGb3Jlc3QgU2VydmljZTwvb3JpZ2luPg0KICAgICAgICA8b3JpZ2luPkF1dG9tYXRlZCBM YW5kcyBQcm9ncmFtIChBTFApPC9vcmlnaW4+DQogICAgICAgIDxwdWJkYXRlPjIwMTUxMjMxPC9w dWJkYXRlPg0KICAgICAgICA8cHVidGltZT4wODM1MTU8L3B1YnRpbWU+DQogICAgICAgIDx0aXRs ZT5TX1VTQS5CYXNpY093bmVyc2hpcDwvdGl0bGU+DQogICAgICAgIDxnZW9mb3JtPnZlY3RvciBk aWdpdGFsIGRhdGE8L2dlb2Zvcm0+DQogICAgICAgIDxvbmxpbms+aHR0cDovL2RhdGEuZnMudXNk YS5nb3YvZ2VvZGF0YS9lZHcvZGF0YXNldHMucGhwPC9vbmxpbms+DQogICAgICA8L2NpdGVpbmZv Pg0KICAgIDwvY2l0YXRpb24+DQogICAgPGRlc2NyaXB0Pg0KICAgICAgPGFic3RyYWN0PkFuIGFy ZWEgZGVwaWN0ZWQgYXMgc3VyZmFjZSBvd25lcnNoaXAgcGFyY2VscyBkaXNzb2x2ZWQgb24gdGhl IHNhbWUgb3duZXJzaGlwIGNsYXNzaWZpY2F0aW9uLjwvYWJzdHJhY3Q+DQogICAgICA8cHVycG9z ZT5UaGlzIGRhdGEgaXMgaW50ZW5kZWQgZm9yIHJlYWQtb25seSB1c2UuIEJhc2ljIE93bmVyc2hp cCBpcyBhIGNvbW1vbmx5IHVzZWQgYmFzZSBsYXllciB1c2VkIGluIGEgd2lkZSByYW5nZSBvZiBG b3Jlc3QgU2VydmljZSBidXNpbmVzcyBmdW5jdGlvbnMgYXMgd2VsbCBhcyB0aG9zZSBvZiBvdGhl ciBlbnRpdGllcy48L3B1cnBvc2U+DQogICAgPC9kZXNjcmlwdD4NCiAgICA8dGltZXBlcmQ+DQog ICAgICA8dGltZWluZm8+DQogICAgICAgIDxzbmdkYXRlPg0KICAgICAgICAgIDxjYWxkYXRlPjIw MTUxMjMxPC9jYWxkYXRlPg0KICAgICAgICA8L3NuZ2RhdGU+DQogICAgICA8L3RpbWVpbmZvPg0K ICAgICAgPGN1cnJlbnQ+cHVibGljYXRpb24gZGF0ZTwvY3VycmVudD4NCiAgICA8L3RpbWVwZXJk Pg0KICAgIDxzdGF0dXM+DQogICAgICA8cHJvZ3Jlc3M+Q29tcGxldGU8L3Byb2dyZXNzPg0KICAg ICAgPHVwZGF0ZT5XZWVrbHk8L3VwZGF0ZT4NCiAgICA8L3N0YXR1cz4NCiAgICA8c3Bkb20+DQog ICAgICA8Ym91bmRpbmc+DQogICAgICAgIDx3ZXN0YmM+LTE1MC4wMDc2NzE8L3dlc3RiYz4NCiAg ICAgICAgPGVhc3RiYz4tNjQuNzM0MzI5PC9lYXN0YmM+DQogICAgICAgIDxub3J0aGJjPjYxLjUx ODk5MDwvbm9ydGhiYz4NCiAgICAgICAgPHNvdXRoYmM+MTcuNzM4OTgzPC9zb3V0aGJjPg0KICAg ICAgPC9ib3VuZGluZz4NCiAgICA8L3NwZG9tPg0KICAgIDxrZXl3b3Jkcz4NCiAgICAgIDx0aGVt ZT4NCiAgICAgICAgPHRoZW1la3Q+bm9uZTwvdGhlbWVrdD4NCiAgICAgICAgPHRoZW1la2V5PkJh c2ljIE93bmVyc2hpcDwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5Pd25lciBOYW1lPC90 aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5Pk5GUyBMYW5kczwvdGhlbWVrZXk+DQogICAgICAg IDx0aGVtZWtleT5MYW5kIFN0YXR1czwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5VU0RB IEZvcmVzdCBTZXJ2aWNlPC90aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5PkFMUCBMYW5kIERh dGFzZXQ8L3RoZW1la2V5Pg0KICAgICAgPC90aGVtZT4NCiAgICAgIDx0aGVtZT4NCiAgICAgICAg PHRoZW1la3Q+SVNPIDE5MTE1IFRvcGljIENhdGVnb3JpZXM8L3RoZW1la3Q+DQogICAgICAgIDx0 aGVtZWtleT5ib3VuZGFyaWVzPC90aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5PnBsYW5uaW5n Q2FkYXN0cmU8L3RoZW1la2V5Pg0KICAgICAgPC90aGVtZT4NCiAgICA8L2tleXdvcmRzPg0KICAg IDxhY2Njb25zdD5Ob25lPC9hY2Njb25zdD4NCiAgICA8dXNlY29uc3Q+VGhlIFVTREEgRm9yZXN0 IFNlcnZpY2UgbWFrZXMgbm8gd2FycmFudHksIGV4cHJlc3NlZCBvciBpbXBsaWVkLCBpbmNsdWRp bmcgdGhlIHdhcnJhbnRpZXMgb2YgbWVyY2hhbnRhYmlsaXR5IGFuZCBmaXRuZXNzIGZvciBhIHBh cnRpY3VsYXIgcHVycG9zZSwgbm9yIGFzc3VtZXMgYW55IGxlZ2FsIGxpYWJpbGl0eSBvciByZXNw b25zaWJpbGl0eSBmb3IgdGhlIGFjY3VyYWN5LCByZWxpYWJpbGl0eSwgY29tcGxldGVuZXNzIG9y IHV0aWxpdHkgb2YgdGhlc2UgZ2Vvc3BhdGlhbCBkYXRhLCBvciBmb3IgdGhlIGltcHJvcGVyIG9y IGluY29ycmVjdCB1c2Ugb2YgdGhlc2UgZ2Vvc3BhdGlhbCBkYXRhLiAgVGhlc2UgZ2Vvc3BhdGlh bCBkYXRhIGFuZCByZWxhdGVkIG1hcHMgb3IgZ3JhcGhpY3MgYXJlIG5vdCBsZWdhbCBkb2N1bWVu dHMgYW5kIGFyZSBub3QgaW50ZW5kZWQgdG8gYmUgdXNlZCBhcyBzdWNoLiAgVGhlIGRhdGEgYW5k IG1hcHMgbWF5IG5vdCBiZSB1c2VkIHRvIGRldGVybWluZSB0aXRsZSwgb3duZXJzaGlwLCBsZWdh bCBkZXNjcmlwdGlvbnMgb3IgYm91bmRhcmllcywgbGVnYWwganVyaXNkaWN0aW9uLCBvciByZXN0 cmljdGlvbnMgdGhhdCBtYXkgYmUgaW4gcGxhY2Ugb24gZWl0aGVyIHB1YmxpYyBvciBwcml2YXRl IGxhbmQuICBOYXR1cmFsIGhhemFyZHMgbWF5IG9yIG1heSBub3QgYmUgZGVwaWN0ZWQgb24gdGhl IGRhdGEgYW5kIG1hcHMsIGFuZCBsYW5kIHVzZXJzIHNob3VsZCBleGVyY2lzZSBkdWUgY2F1dGlv bi4gIFRoZSBkYXRhIGFyZSBkeW5hbWljIGFuZCBtYXkgY2hhbmdlIG92ZXIgdGltZS4gIFRoZSB1 c2VyIGlzIHJlc3BvbnNpYmxlIHRvIHZlcmlmeSB0aGUgbGltaXRhdGlvbnMgb2YgdGhlIGdlb3Nw YXRpYWwgZGF0YSBhbmQgdG8gdXNlIHRoZSBkYXRhIGFjY29yZGluZ2x5LjwvdXNlY29uc3Q+DQog ICAgPHB0Y29udGFjPg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAg ICAgIDxjbnRvcmc+VVNGUyBDaGllZiBJbmZvcm1hdGlvbiBPZmZpY2UsIEVudGVycHJpc2UgRGF0 YSBXYXJlaG91c2U8L2NudG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAgICAgICA8Y250YWRk cj4NCiAgICAgICAgICA8YWRkcnR5cGU+cGh5c2ljYWw8L2FkZHJ0eXBlPg0KICAgICAgICAgIDxj aXR5Pldhc2hpbmd0b248L2NpdHk+DQogICAgICAgICAgPHN0YXRlPkRDPC9zdGF0ZT4NCiAgICAg ICAgICA8cG9zdGFsPjIwMjUwPC9wb3N0YWw+DQogICAgICAgIDwvY250YWRkcj4NCiAgICAgICAg PGNudHZvaWNlPlBsZWFzZSBzZW5kIGFuIGUtbWFpbCB0byB0aGUgYWRkcmVzcyBiZWxvdy48L2Nu dHZvaWNlPg0KICAgICAgICA8Y250ZW1haWw+ZGF0YUBmcy5mZWQudXM8L2NudGVtYWlsPg0KICAg ICAgPC9jbnRpbmZvPg0KICAgIDwvcHRjb250YWM+DQogICAgPG5hdGl2ZT5NaWNyb3NvZnQgV2lu ZG93cyBTZXJ2ZXIgMjAwOCBSMiBWZXJzaW9uIDYuMSAoQnVpbGQgNzYwMSkgU2VydmljZSBQYWNr IDE7IEVzcmkgQXJjR0lTIDEwLjMuMS40OTU5PC9uYXRpdmU+DQogIDwvaWRpbmZvPg0KICA8ZGF0 YXF1YWw+DQogICAgPGF0dHJhY2M+DQogICAgICA8YXR0cmFjY3I+VGhlIFJlZ2lvbmFsIExhbmQg U3RhdHVzIHBlcnNvbm5lbCBhcmUgcmVzcG9uc2libGUgZm9yIHRoZWlyIGxvY2FsIGRhdGEgc3Rl d2FyZHNoaXAgYW5kIG1haW50ZW5hbmNlLiBUaGUgb3ZlcmFsbCBjb2xsZWN0aW9uIG5hdGlvbndp ZGUgY29uc2lzdHMgb2YgMTAwJSBhdHRyaWJ1dGUgYWNjdXJhY3kgYmFzZWQgb24gY3VycmVudG5l c3MgYW5kIGNvbXBsZXRlbmVzcy48L2F0dHJhY2NyPg0KICAgIDwvYXR0cmFjYz4NCiAgICA8bG9n aWM+UXVhbGl0eSBjb250cm9sIG1lYXN1cmVzIHRha2VuOiB0aGlzIGZlYXR1cmUgY2xhc3MgaXMg cG9wdWxhdGVkIGJ5IGFuIGF1dG9tYXRlZCB0cmFuc2xhdGlvbiBwcm9jZXNzIGZyb20gdGhlIHNv dXJjZSBmZWF0dXJlIGNsYXNzIHRoYXQgaXMgZWRpdGVkIGFuZCBtYWludGFpbmVkIGJ5IHRoZSBk YXRhIHN0ZXdhcmRzLiBPbmx5IHN0ZXdhcmRzIHdpdGggdGhlIHByb3BlciByb2xlIGdyYW50cyBj YW4gZWRpdCB0aGUgZGF0YS4gIFRoZSBhcHBsaWNhdGlvbiB1c2VkIGZvciBlZGl0aW5nIGhhcyBi dWlsdCBpbiBjb250cm9scyB0byBvbmx5IGFsbG93IHZhbGlkIGdlb21ldHJ5IGFuZCBkb21haW5z IHRvIGNvbnRyb2wgYXR0cmlidXRlIGludGVncml0eS48L2xvZ2ljPg0KICAgIDxjb21wbGV0ZT5U aGlzIHRoZW1lIGlzIGN1cnJlbnQgdG8gZGF0ZSBvZiBwdWJsaWNhdGlvbi48L2NvbXBsZXRlPg0K ICAgIDxwb3NhY2M+DQogICAgICA8aG9yaXpwYT4NCiAgICAgICAgPGhvcml6cGFyPkdlbmVyYWxs eSB0aGUgc291cmNlIGluZm9ybWF0aW9uIHVzZWQgdG8gcmVjb3JkIHNwYXRpYWwgbG9jYXRpb25z IGFyZSBmcm9tOiAxKSBvbi1zY3JlZW4gZGlnaXRpemluZyB3aXRoIGEgZ2VvcmVmZXJlbmNlZCB0 b3BvZ3JhcGhpYyBvciBpbWFnZSBiYWNrZ3JvdW5kOyBvciAyKSBHUFMgZmllbGQgY29sbGVjdGVk IHBvc2l0aW9ucy48L2hvcml6cGFyPg0KICAgICAgPC9ob3JpenBhPg0KICAgIDwvcG9zYWNjPg0K ICAgIDxsaW5lYWdlPg0KICAgICAgPHByb2NzdGVwPg0KICAgICAgICA8cHJvY2Rlc2M+VGhpcyBk YXRhIHdhcyBwdWJsaXNoZWQgdXNpbmcgRmVhdHVyZSBNYW5pcHVsYXRpb24gRW5naW5lIFNvZnR3 YXJlLiBUaGUgc3BhdGlhbCBmZWF0dXJlcyB3ZXJlIGV4dHJhY3RlZCBmcm9tIHRoZSB0cmFuc2Fj dGlvbmFsIGRhdGFiYXNlLCBtYW5pcHVsYXRlZCB0byBtZWV0IHRoZSBkZXNpcmVkIG91dHB1dCBm b3JtYXQgYW5kIHB1Ymxpc2hlZCB0byB0aGUgdGFyZ2V0IGZlYXR1cmUgY2xhc3MuIFRoaXMgZGF0 YSB3YXMgbWlncmF0ZWQgZnJvbSB0aGUgQ0RXLiBUaGUgc3BhdGlhbCBmZWF0dXJlcyB3ZXJlIHBy b2plY3RlZCBhbmQgaW1wb3J0ZWQgaW50byB0aGUgdGFyZ2V0IGZlYXR1cmUgY2xhc3MuPC9wcm9j ZGVzYz4NCiAgICAgICAgPHByb2NkYXRlPjIwMTY8L3Byb2NkYXRlPg0KICAgICAgPC9wcm9jc3Rl cD4NCiAgICA8L2xpbmVhZ2U+DQogIDwvZGF0YXF1YWw+DQogIDxzcGRvaW5mbz4NCiAgICA8ZGly ZWN0PlZlY3RvcjwvZGlyZWN0Pg0KICA8L3NwZG9pbmZvPg0KICA8c3ByZWY+DQogICAgPGhvcml6 c3lzPg0KICAgICAgPGdlb2dyYXBoPg0KICAgICAgICA8bGF0cmVzPjguOTkwMDAwMDAwMDAwMDAw NGUtMDA4PC9sYXRyZXM+DQogICAgICAgIDxsb25ncmVzPjguOTkwMDAwMDAwMDAwMDAwNGUtMDA4 PC9sb25ncmVzPg0KICAgICAgICA8Z2VvZ3VuaXQ+RGVjaW1hbCBEZWdyZWVzPC9nZW9ndW5pdD4N CiAgICAgIDwvZ2VvZ3JhcGg+DQogICAgICA8Z2VvZGV0aWM+DQogICAgICAgIDxob3JpemRuPkQg Tm9ydGggQW1lcmljYW4gMTk4MzwvaG9yaXpkbj4NCiAgICAgICAgPGVsbGlwcz5HUlMgMTk4MDwv ZWxsaXBzPg0KICAgICAgICA8c2VtaWF4aXM+NjM3ODEzNy4wPC9zZW1pYXhpcz4NCiAgICAgICAg PGRlbmZsYXQ+Mjk4LjI1NzIyMjEwMTwvZGVuZmxhdD4NCiAgICAgIDwvZ2VvZGV0aWM+DQogICAg PC9ob3JpenN5cz4NCiAgPC9zcHJlZj4NCiAgPGVhaW5mbz4NCiAgICA8ZGV0YWlsZWQgTmFtZT0i U19VU0EuQmFzaWNPd25lcnNoaXAiPg0KICAgICAgPGVudHR5cD4NCiAgICAgICAgPGVudHR5cGw+ U19VU0EuQmFzaWNPd25lcnNoaXA8L2VudHR5cGw+DQogICAgICAgIDxlbnR0eXBkPkEgY29sbGVj dGlvbiBvZiBnZW9ncmFwaGljIGZlYXR1cmVzIHdpdGggdGhlIHNhbWUgZ2VvbWV0cnkgdHlwZSAo c3VjaCBhcyBwb2ludCwgbGluZSwgb3IgcG9seWdvbiksIHRoZSBzYW1lIGF0dHJpYnV0ZXMsIGFu ZCB0aGUgc2FtZSBzcGF0aWFsIHJlZmVyZW5jZS48L2VudHR5cGQ+DQogICAgICAgIDxlbnR0eXBk cz5odHRwOi8vc3VwcG9ydC5lc3JpLmNvbS9lbi9rbm93bGVkZ2ViYXNlL0dJU0RpY3Rpb25hcnkv dGVybS9mZWF0dXJlJTIwY2xhc3M8L2VudHR5cGRzPg0KICAgICAgICA8ZW50dHlwdCBTeW5jPSJU UlVFIj5GZWF0dXJlIENsYXNzPC9lbnR0eXB0Pg0KICAgICAgICA8ZW50dHlwYyBTeW5jPSJUUlVF Ij4zMTI8L2VudHR5cGM+DQogICAgICA8L2VudHR5cD4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8 YXR0cmxhYmw+T0JKRUNUSUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5JbnRlcm5hbCBm ZWF0dXJlIG51bWJlci48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5FU1JJPC9hdHRyZGVm cz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPk9JRDwvYXR0cnR5cGU+DQogICAgICAg IDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5 bmM9IlRSVUUiPjEwPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8 L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+U2VxdWVudGlh bCB1bmlxdWUgd2hvbGUgbnVtYmVycyB0aGF0IGFyZSBhdXRvbWF0aWNhbGx5IGdlbmVyYXRlZC48 L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVF Ij5PQkpFQ1RJRDwvYXR0YWxpYXM+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAg ICAgPGF0dHJsYWJsPkJBU0lDT1dORVJTSElQSUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRl Zj5VbmlxdWUgaWRlbnRpZmllciBnZW5lcmF0ZWQgYnkgT3JhY2xlIHNlcXVlbmNlIG9yIFNZU19H VUlEKCkgZnVuY3Rpb24uPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+QUxQPC9hdHRyZGVm cz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlN0cmluZzwvYXR0cnR5cGU+DQogICAg ICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40MDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNp cyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUi PjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+VW5pcXVl IElkZW50aWZpZXI8L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICAgIDxhdHRhbGlh cyBTeW5jPSJUUlVFIj5CQVNJQ09XTkVSU0hJUElEPC9hdHRhbGlhcz4NCiAgICAgIDwvYXR0cj4N CiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+T1dORVJDTEFTU0lGSUNBVElPTjwvYXR0 cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkNsYXNzaWZpY2F0aW9uIGRlc2lnbmF0aW9uIGFzc2ln bmVkIHRvIGVhY2ggQmFzaWMgT3duZXJzaGlwIFR5cGU8L2F0dHJkZWY+DQogICAgICAgIDxhdHRy ZGVmcz5BTFA8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+U3RyaW5n PC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjUwPC9hdHR3aWR0aD4N CiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0 c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAg ICAgICA8ZWRvbT4NCiAgICAgICAgICAgIDxlZG9tdj5OT04tRlM8L2Vkb212Pg0KICAgICAgICAg ICAgPGVkb212ZD5MYW5kIGFyZWFzIHRoYXQgYXJlIG5vdCBwYXJ0IG9mIHRoZSBOYXRpb25hbCBG b3Jlc3QgU3lzdGVtPC9lZG9tdmQ+DQogICAgICAgICAgICA8ZWRvbXZkcz5VLlMuIEZvcmVzdCBT ZXJ2aWNlPC9lZG9tdmRzPg0KICAgICAgICAgIDwvZWRvbT4NCiAgICAgICAgICA8ZWRvbT4NCiAg ICAgICAgICAgIDxlZG9tdj5VTlBBUlRJVElPTkVEIFJJUEFSSUFOIElOVEVSRVNUPC9lZG9tdj4N CiAgICAgICAgICAgIDxlZG9tdmQ+QSBjb25kaXRpb24gd2hlcmUgbGFuZCBpbnRlcmVzdHMgZXhp c3QgYmV0d2VlbiB3aGF0IGlzIHNob3duIG9uIHN1cnZleSBwbGF0cyBvciBCTE0gbWFzdGVyIHRp dGxlIHBsYXRzIGFuZCB0aGUgYWN0dWFsIHNob3JlbGluZSwgd2hpY2ggbWF5IHJlcXVpcmUgcGFy dGl0aW9uaW5nIGJldHdlZW4gZmVkZXJhbCBhbmQgbm9uZmVkZXJhbCBpbnRlcmVzdHMuPC9lZG9t dmQ+DQogICAgICAgICAgICA8ZWRvbXZkcz5VLlMuIEZvcmVzdCBTZXJ2aWNlPC9lZG9tdmRzPg0K ICAgICAgICAgIDwvZWRvbT4NCiAgICAgICAgICA8ZWRvbT4NCiAgICAgICAgICAgIDxlZG9tdj5V U0RBIEZPUkVTVCBTRVJWSUNFPC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+T3duZWQgYnkg dGhlIFUuUy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZD4NCiAgICAgICAgICAgIDxlZG9tdmRzPlUu Uy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQogICAgICAgICAgPC9lZG9tPg0KICAgICAgICA8 L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+T1dORVJDTEFTU0lGSUNB VElPTjwvYXR0YWxpYXM+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0 dHJsYWJsPkdJU19BQ1JFUzwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRoZSBhcmVhIG9m IHRoZSBmZWF0dXJlIGluIGFjcmVzLCBjYWxjdWxhdGVkIHVzaW5nIGEgcHJvamVjdGVkIHN1cmZh Y2UgY29tcHV0YXRpb24uIEEgTkFEIDgzLCBVU0EgQ29udGlndW91cyBBbGJlcnMgRXF1YWwgQXJl YSBDb25pYyBwcm9qZWN0aW9uIHdhcyB1c2VkIGZvciBSZWdpb25zIDEtOSwgYW5kIE5BRCA4Mywg QWxhc2thIEFsYmVycyBmb3IgUmVnaW9uIDEwLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZz PlUuUy4gRm9yZXN0IFNlcnZpY2U8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0i VFJVRSI+RG91YmxlPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjg8 L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+Mzg8L2F0cHJlY2lzPg0K ICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+ODwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRy ZG9tdj4NCiAgICAgICAgICA8dWRvbT5UaGUgYXJlYSBvZiBhIGZlYXR1cmUgaW4gYWNyZXMuPC91 ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+ R0lTX0FDUkVTPC9hdHRhbGlhcz4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAg ICA8YXR0cmxhYmw+UkVHSU9OPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VS5TLiBGb3Jl c3QgU2VydmljZSBSZWdpb24sIGNvbnNpc3Rpbmcgb2YgUmVnaW9uIDAxIChOb3J0aGVybiBSZWdp b24pLCBSZWdpb24gMDIgKFJvY2t5IE1vdW50YWluIFJlZ2lvbiksIFJlZ2lvbiAwMyAoU291dGh3 ZXN0ZXJuIFJlZ2lvbiksIFJlZ2lvbiAwNCAoSW50ZXJtb3VudGFpbiBSZWdpb24pLCBSZWdpb24g MDUgKFBhY2lmaWMgU291dGh3ZXN0IFJlZ2lvbiksIFJlZ2lvbiAwNiAoUGFjaWZpYyBOb3J0aHdl c3QgUmVnaW9uKSwgUmVnaW9uIDA4IChTb3V0aGVybiBSZWdpb24pLCBSZWdpb24gMDkgKEVhc3Rl cm4gUmVnaW9uKSwgYW5kIFJlZ2lvbiAxMCAoQWxhc2thIFJlZ2lvbikuICBUaGVyZSBpcyBubyBS ZWdpb24gMDcuICBSZWdpb25zIGFyZSBsaXN0ZWQgb24gaHR0cDovL3d3dy5mcy5mZWQudXMvb3Jn YW5pemF0aW9uLzUwNi4gIFdpdGhpbiB0aGlzIGRhdGFzZXQsIHRoZSByZWdpb24gcmVwcmVzZW50 cyB0aGUgTGFuZCBTdGF0dXMgUmVjb3JkIFN5c3RlbSBQcm9kdWN0aW9uIFJlZ2lvbmFsIHNjaGVt YSBmcm9tIHdoaWNoIGRhdGEgd2FzIGRlcml2ZWQuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRl ZnM+VS5TLiBGb3Jlc3QgU2VydmljZTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5j PSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+ MjwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4N CiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0 cmRvbXY+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+MDE8L2Vkb212Pg0K ICAgICAgICAgICAgPGVkb212ZD5SZWdpb24gMDEgLSBOb3J0aGVybjwvZWRvbXZkPg0KICAgICAg ICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAgICA8 L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+MDI8L2Vkb212Pg0K ICAgICAgICAgICAgPGVkb212ZD5SZWdpb24gMDIgLSBSb2NreSBNb3VudGFpbjwvZWRvbXZkPg0K ICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAg ICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+MDM8L2Vk b212Pg0KICAgICAgICAgICAgPGVkb212ZD5SZWdpb24gMDMgLSBTb3V0aHdlc3Rlcm48L2Vkb212 ZD4NCiAgICAgICAgICAgIDxlZG9tdmRzPlUuUy4gRm9yZXN0IFNlcnZpY2U8L2Vkb212ZHM+DQog ICAgICAgICAgPC9lZG9tPg0KICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PjA0 PC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+UmVnaW9uIDA0IC0gSW50ZXJtb3VudGFpbjwv ZWRvbXZkPg0KICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3QgU2VydmljZTwvZWRvbXZk cz4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRv bXY+MDU8L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5SZWdpb24gMDUgLSBQYWNpZmljIFNv dXRod2VzdDwvZWRvbXZkPg0KICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3QgU2Vydmlj ZTwvZWRvbXZkcz4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAg ICAgICA8ZWRvbXY+MDY8L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5SZWdpb24gMDYgLSBQ YWNpZmljIE5vcnRod2VzdDwvZWRvbXZkPg0KICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jl c3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+ DQogICAgICAgICAgICA8ZWRvbXY+MDg8L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5SZWdp b24gMDggLSBTb3V0aGVybjwvZWRvbXZkPg0KICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jl c3QgU2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+ DQogICAgICAgICAgICA8ZWRvbXY+MDk8L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5SZWdp b24gMDkgLSBFYXN0ZXJuPC9lZG9tdmQ+DQogICAgICAgICAgICA8ZWRvbXZkcz5VLlMuIEZvcmVz dCBTZXJ2aWNlPC9lZG9tdmRzPg0KICAgICAgICAgIDwvZWRvbT4NCiAgICAgICAgICA8ZWRvbT4N CiAgICAgICAgICAgIDxlZG9tdj4xMDwvZWRvbXY+DQogICAgICAgICAgICA8ZWRvbXZkPlJlZ2lv biAxMCAtIEFsYXNrYTwvZWRvbXZkPg0KICAgICAgICAgICAgPGVkb212ZHM+VS5TLiBGb3Jlc3Qg U2VydmljZTwvZWRvbXZkcz4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+ DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5SRUdJT048L2F0dGFsaWFzPg0KICAgICAg PC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5GT1JFU1ROQU1FPC9hdHRy bGFibD4NCiAgICAgICAgPGF0dHJkZWY+Rm9yZXN0cyBhcmUgc3ViZGl2aXNpb25zIG9mIHJlZ2lv bnMgYW5kIGNhbiBiZSBmb3VuZCBieSBkcmlsbGluZyB0aHJvdWdoIHJlZ2lvbnMgb24gaHR0cDov L3d3dy5mcy5mZWQudXMvb3JnYW5pemF0aW9uLzUwNi48L2F0dHJkZWY+DQogICAgICAgIDxhdHRy ZGVmcz5VLlMuIEZvcmVzdCBTZXJ2aWNlPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5 bmM9IlRSVUUiPlN0cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVF Ij4xNTA8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVj aXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgICAg PGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPkZvcmVzdCBOYW1lLjwvdWRvbT4NCiAgICAgICAg PC9hdHRyZG9tdj4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPkZPUkVTVE5BTUU8L2F0 dGFsaWFzPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5T SEFQRTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkZlYXR1cmUgZ2VvbWV0cnkuPC9hdHRy ZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlw ZSBTeW5jPSJUUlVFIj5HZW9tZXRyeTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5j PSJUUlVFIj40PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0 cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAg ICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5Db29yZGluYXRlcyBkZWZpbmluZyB0aGUg ZmVhdHVyZXMuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMg U3luYz0iVFJVRSI+U2hhcGU8L2F0dGFsaWFzPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+ DQogICAgICAgIDxhdHRybGFibD5TSEFQRS5BUkVBPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJk ZWY+QXJlYSBvZiBmZWF0dXJlIGluIGludGVybmFsIHVuaXRzIHNxdWFyZWQuPC9hdHRyZGVmPg0K ICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRydHlwZSBTeW5j PSJUUlVFIj5Eb3VibGU8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+ MDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4N CiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0 cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9zaXRpdmUgcmVhbCBudW1iZXJzIHRoYXQgYXJlIGF1 dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAg ICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPlNIQVBFLkFSRUE8L2F0dGFsaWFzPg0KICAgICAgPC9h dHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TSEFQRS5MRU48L2F0dHJsYWJs Pg0KICAgICAgICA8YXR0cmRlZj5MZW5ndGggb2YgZmVhdHVyZSBpbiBpbnRlcm5hbCB1bml0cy48 L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5FU1JJPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0 dHJ0eXBlIFN5bmM9IlRSVUUiPkRvdWJsZTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBT eW5jPSJUUlVFIj4wPC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8 L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQog ICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5Qb3NpdGl2ZSByZWFsIG51bWJlcnMg dGhhdCBhcmUgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0dHJk b212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+U0hBUEUuTEVOPC9hdHRhbGlhcz4N CiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0KICA8L2VhaW5mbz4NCiAgPGRpc3RpbmZv Pg0KICAgIDxkaXN0cmliPg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAg ICAgICAgIDxjbnRvcmc+VVNGUyBDaGllZiBJbmZvcm1hdGlvbiBPZmZpY2UsIEVudGVycHJpc2Ug RGF0YSBXYXJlaG91c2U8L2NudG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAgICAgICA8Y250 YWRkcj4NCiAgICAgICAgICA8YWRkcnR5cGU+cGh5c2ljYWw8L2FkZHJ0eXBlPg0KICAgICAgICAg IDxjaXR5Pldhc2hpbmd0b248L2NpdHk+DQogICAgICAgICAgPHN0YXRlPkRDPC9zdGF0ZT4NCiAg ICAgICAgICA8cG9zdGFsPjIwMjUwPC9wb3N0YWw+DQogICAgICAgIDwvY250YWRkcj4NCiAgICAg ICAgPGNudHZvaWNlPlBsZWFzZSBzZW5kIGFuIGUtbWFpbCB0byB0aGUgYWRkcmVzcyBiZWxvdy48 L2NudHZvaWNlPg0KICAgICAgICA8Y250ZW1haWw+ZGF0YUBmcy5mZWQudXM8L2NudGVtYWlsPg0K ICAgICAgPC9jbnRpbmZvPg0KICAgIDwvZGlzdHJpYj4NCiAgICA8ZGlzdGxpYWI+VGhlIFUuUy4g Rm9yZXN0IFNlcnZpY2UgbWFrZXMgbm8gd2FycmFudHksIGV4cHJlc3Mgb3IgaW1wbGllZCwgbm9y IGFzc3VtZXMgYW55IGxpYWJpbGl0eSBvciByZXNwb25zaWJpbGl0eSBmb3IgdGhlIGFjY3VyYWN5 LCByZWxpYWJpbGl0eSwgY29tcGxldGVuZXNzLCBvciB1dGlsaXR5IG9mIHRoZXNlIGdlb3NwYXRp YWwgZGF0YSBvciBmb3IgdGhlIGltcHJvcGVyIG9yIGluY29ycmVjdCB1c2Ugb2YgdGhvc2UgZGF0 YS4gIFRoZSBkYXRhIGFyZSBkeW5hbWljIGFuZCBtYXkgY2hhbmdlIG92ZXIgdGltZS4gIFRoZSB1 c2VyIGlzIHJlc3BvbnNpYmxlIGZvciB2ZXJpZnlpbmcgdGhlIGxpbWl0YXRpb25zIG9mIHRoZSBn ZW9zcGF0aWFsIGRhdGEgYW5kIGZvciB1c2luZyB0aGUgZGF0YSBhY2NvcmRpbmdseS48L2Rpc3Rs aWFiPg0KICA8L2Rpc3RpbmZvPg0KICA8bWV0YWluZm8+DQogICAgPG1ldGQ+MjAxNjExMTg8L21l dGQ+DQogICAgPG1ldGM+DQogICAgICA8Y250aW5mbz4NCiAgICAgICAgPGNudG9yZ3A+DQogICAg ICAgICAgPGNudG9yZz5VU0ZTIENoaWVmIEluZm9ybWF0aW9uIE9mZmljZSwgRW50ZXJwcmlzZSBE YXRhIFdhcmVob3VzZTwvY250b3JnPg0KICAgICAgICA8L2NudG9yZ3A+DQogICAgICAgIDxjbnRh ZGRyPg0KICAgICAgICAgIDxhZGRydHlwZT5waHlzaWNhbDwvYWRkcnR5cGU+DQogICAgICAgICAg PGNpdHk+V2FzaGluZ3RvbjwvY2l0eT4NCiAgICAgICAgICA8c3RhdGU+REM8L3N0YXRlPg0KICAg ICAgICAgIDxwb3N0YWw+MjAyNTA8L3Bvc3RhbD4NCiAgICAgICAgPC9jbnRhZGRyPg0KICAgICAg ICA8Y250dm9pY2U+UGxlYXNlIHNlbmQgYW4gZS1tYWlsIHRvIHRoZSBhZGRyZXNzIGJlbG93Ljwv Y250dm9pY2U+DQogICAgICAgIDxjbnRlbWFpbD5kYXRhQGZzLmZlZC51czwvY250ZW1haWw+DQog ICAgICA8L2NudGluZm8+DQogICAgPC9tZXRjPg0KICAgIDxtZXRzdGRuPkZHREMgQ29udGVudCBT dGFuZGFyZCBmb3IgRGlnaXRhbCBHZW9zcGF0aWFsIE1ldGFkYXRhPC9tZXRzdGRuPg0KICAgIDxt ZXRzdGR2PkZHREMtU1RELTAwMS0xOTk4PC9tZXRzdGR2Pg0KICA8L21ldGFpbmZvPg0KICA8RXNy aT4NCiAgICA8U3luY0RhdGU+MjAxNjExMTg8L1N5bmNEYXRlPg0KICAgIDxTeW5jVGltZT4xNTI1 MTAwMDwvU3luY1RpbWU+DQogICAgPE1vZERhdGU+MjAxNjExMTg8L01vZERhdGU+DQogICAgPE1v ZFRpbWU+MTUyNTEwMDA8L01vZFRpbWU+DQogIDwvRXNyaT4NCjwvbWV0YWRhdGE+ /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDS0Jpt X1SSxvr+5S5tYlW12SkZUfxe5xgHPoa3NUx4Q8Lanf6Xai4vI081/OcnfjqxPU4GawfDEWnXPima 4uCft1mB5SgkYQjGffr0rrNf01dc0ufTpZpoILlNjvCQGI7jJBGDXnUrO0mZqKu2cAtxaeItF07x BEdPsZ5STdQSSFFOH28HGQc4596u6l4RbxBHZalq8YuJNPRomiHS7UjIYMDnAPtnr7V08Gh6edEX Ro7VTYLGEKn0HP8AMVlaR40sbnWZNLgMfkxOYopo5A27apZiR2HB5rWMEm5REoJSbRseGLaGDQYY ksJbG1CnbbztuZBkkbv5+1UTqdnPqVgugXUF2ZZZPtD7t52gjI3HJAGeB0/qsfjTTdTXyNMhuLi7 aLzPlhbaE3bdxHccH61Do2iXkevJey2cNvbBCkMccax7CSCxwCev17U29bDvrY7mSLzbRo+hZfyr h9X0AWdqZbPUNQ05YF8wQWMauhx1xHjkmtX/AISO+utUmgsbOE2VvJ5M08kuGDA84AHvW3gLKXYj AUHB9aNho8d1i98RaRrMtlrV+2oW95bg275ECIM55Qr8z8dAe9e1aZEHt0lZFMrghW28qpxkZ9CQ PyrjPFmiSa/BLdiGJktkPls6/OzjBAQ/Uc1Xk+JWo6ZdtBP4eaK2jg+RpZdrM4A4JxjnnpTi1z69 V/mJaSs+p6Jq9pLc6Fe2sI3STW7xqpPcqQK4jw9JqlgbfS/EQRLiFTOk5lUqU3BQvHpkd6n0L4mQ a1JHbjTrhLhiN4T51jB6EnggfhUGuNp/irxDLYQSo7fYJI3IP3HDqQciolOMrSTJck7SizqL61tN WsWgmSK4t34ZWAZT+HSuRu7SaWK40Hw/Np1vBDtWb5m8xc8njHXjqTzXPa9YeJ7O6t9F8Pa1tmKC aUnEaqcnAXg8Z6g1tWHhy+svEEWrXd5E9zLaCF1gDYkcEEu2eM8dgOtWnbUtanB/E3TLnQ9Oi+xg PZ3QKTvIhZwwxhyc8Z9hXK+FNDuNV1q0snheERNueZg+JNpzznpxgDj0r3nxxpcGseGpdOmujZ+Y RtlGMA+hz1FYmi+INHtLGS1munujp2yKeSCBmwwGADjPJxV+0k13YzqrKCNL9GMKCUry4UZPpzXH 6fp0eoeJ2tp9Onhvndp7u7mZSdikgKgHRWGOvUDp3rubGRHH2tkeMTAFFdcMox3Hai6srHVEDXNq kzDhWK8/n1qIuwFbxHqY0vSp7ndJEBGVEqIHMZIwGI7gHFYnhPxNqUunQS6lG9xCRI8l4y7RGoOF GAOScZ9eelO1Xw1rk1kLez1xfscIyqSxgEgdAWAywA4q4urXV5pWnS2tlcZmuUTfCpQEKeWPHCnB 600SzL8dpfeQbmPV7i0jitvOTDbUkYuAVYDnGCPWtKW+sTpyaNqUtxpssgTE6ZAlOBzuxjk8YP0q ymi3T2lwup3zTG4VkaNQHCZbIKlhxxjjpkZxVW88M6imiXVjDcwXlo++QQ3UbNIM4IUMG9jz700+ g7a3MCXSLvSfFFtFf3PkWU8gKS2pKRTH+7LH90E4HIp0fiOS38Q3enXMYa2tmEbToCQjHoDx6d6i 1S5eTRY9Pv2uZNMfy7c3eVZrZ8YLMeoxzuDHjNWNBsV1a0tNUGq7IIZhCzwsd90oOFMoHAPQe+c1 tTqyhqjDEYWnXjaaOgPmzR/6NDJMzcDavA+p6U7ynttkMqMjAYGehx6HvWRe+L9VfxLNYaWlt5Fr P5TqyF3kOOQORg8GtvT9HvpZftuq3zt5qnNso+RD2PXj/wDVz69H1uaalJKx5ssnpcjjFu/cjJk8 lod/7suHxt78d/wqODcYQJMk99wqDU7220m8S1luix2s7ny92xApO7jGen1qcuRaw3IdTDMPlcqV x3GQT6ZreFale66nDWwWL5LTV0rfJFzw/eGzuZNOd2eBVUxBgPlyTwK6iG5LZwc4OOT/AFrgbppb c3Nzb3iCREwCiqwcqCRjOfXFa9v4hslso42lZZM7nYxtgfpXFUXLLTZ7Hu4KunT5Jv3o6M7FHDDj g9wacpDAEd6qploI3DbuM7umRViMqQAvHtUnaJPB5gBU4cdDVGO/aK7NtcrtP8LdjWpVHULFbxVD cbTkMOopMaH3ByIipGPMFWa59PtNoywyN5kYbKnuMGtS3vUlcpuGR0ouBaYlecZFQi7i7tg+9TAk jIwaoz2Ukkm5WGPegDyIeBr2w1Yal/b8izt8q+XAPu5HByTnOB6V3EQZYY1nJxnOKWSCWWW0mjt5 pVBBLLExBHr0qe8kWNCyYJ/usMEEe1cyjyrYzt0Kt7c3ENrKLGJGnDRhA7YG0sAxx7DJ965bWPDC WniC08SaXaRieJtsluOFZSNvyjoDzzXWfYpr62DXBhWOVSAJGwWWufuLSx0TVopL/wATXMemx5eO 1aNhCrnA+aXBJXrgHHWqSbHykttpNxcaha6tcCGO8g4ihA3eVGRhkGCBk/iKxvGHjVLW2k06xllE 0RImuU3BUYH/AFYIHJPqK6PWNc0nSdOjuL+YRWV0oaOZVbDjGRgr2xg5qpqXhjQ/FNtaMr2cjzSi XzImUM4+8VAzkHgE8Z4pwSv76Y0lszP8Ba2mrWrxeVF8rgtMGI8wn+HY3I2jA9K7S5urS0glvtQm MNpD99tjEH8cYxXH3ltp3w+dHs9Pm1rWroFYUO0CONcEjgAceveorPxBrmvabbT6jpFvbwOsu1OW dieUyMjA7Y56mtvZRlJuC0JnUpQla9l0Okj8X6HqFsl0szSW73gsYSi5DOcAYHpk9aqavbatDrsM i2llPoUigTPJIFeDGSXIPBH61NqFpEmhPpsNstjPeK6W5CDbDKycdOhznkVx9jqx8J/DSTTvEsks N1dNNFDHFFudQcgHBzkZ7+4rJxTYybXxo+j6Pd61Bf3EeCypJZSj5mJ5VR06gZHtWd8O9M1Z9Kk1 WfVA0OoxknynO6NyeT6Zx6VxWjXU1v4UvBbSILqxV5JbOW33RXEefvEY++pY8+g9q6nwx8S9MsfD 1po50aRZ0XDpGyoMkj7oJyev6UvZcuyFypdDf1uXxFZ3Ok6fpsT3+oC2KvesoWIkEZJyfvYHf8Ku 2njBNKk+z+IZ0kubRyrSWiF1KkZGQBwfbmt4SCJHMcqPKqhZIw4LIxGcMB0ODWOnhPT9Q8Qx6ne7 ZDDHsFuVwGfPDk9yBkYpKS2aBpgkuieNNftbi4vVeGDcI9NuIwDI5X7/AD1G01Zt21PTdXj0LTdF itNCtod5u3blj6KB3z61NY+FNL0vWra6gtvKMedmxiqg4PVeh6murRd6bXwQetDktkGvUzkYTwx+ YP3mMsM4/EVNEJFdhGWwedrU64gTzFAXKFSox61FmVA2DgjC4NTdhZFpQ21QF2k+9WY2ynBxVSGT ey54c1cGBkgcZ5p3Cw2SSC0geaZwscal2Y9AByTSxyLcxpNBKrxv8yupyCPasfVb2zsbiG1vWkZr t9kCkkK2SAU9+ucYrio9Hk09p7bTdXuba/huX2KkhKMGOVQp90DH9etUloM9L8uGJGXy0CSEgrgA MT14rkvEGiaf4f0y41PS7b7Pulja6WAHDx7hnCj06jHv61nX3jK9s4rebWtIJsIXUT3MM3c9GC9x yCea3rifTI9La7e/ea2EW6NRxuAGe/1poSK2iWGkTas3iOwlUx3wJKz5DbgSMqCeM854q3d+KLSw u2RoZJIhCJYGgIc3AJwQo4GR9a4LT4dEL6dbxNNb3IneXMjq0YG8sQWXg55GBzyK7KXTbW1+2Pp1 zHLKIPLggkUsI3BOTxznDAUW11Gb6RR3tokk9sUWZCDHJgsoPYkEjke9crq+oXN74gtdI0m4SSCN c3kUZGUwygdQcYz0446VFYeOm/sgz6naNpyRboo5ZQWR5E4PHHf+R5ro9CRJLIXot0hmvP3021SM sRjkH2FHwgWG0q0ljwkO3f8AxKxGPp/hXOa7c2Fva3MUGpxmVVZSm4E7vSusW9tTctZGVPtCqHEe eSvrXFajYXcOsW2kzTW8djeTyXCyDKyEjnZnPv2qJVKqVoPc56tGErXimd3pVy66fGjxMCsa/jkV bimViJIlxg4YVwUepan4aeKMTwS6dJdhWM4ZmiViAfnLYAHvXZwTpPbuLV0IcbklU7gSe/vV06l9 Op0Rd9HubKkMoPY02U5GKwfC2ty6raXFveokWo2M7QXMa9Nw5DD2YEEfWte4Vz8yAnHYVsUVrlIz GQSQ6suT16msu8iNrfI8bDDAgfWr7JKkEpkI3O4OPypbqGLykYKSwGAT2zSexRYs5ne33Nw+M4FS eZx1H4021XbEmR25p7oSR8ueKBHLzPBLb2yiS5gkijEWVXPPPPDDpwR7ipo9S3TOTEhUuxUOgyBm nQwRuG+VgD/eqJ9NBYtC4JC9B3rFzk0TcsuqXb/O2QQACvGK4/W/Dumav40Uz3/mzRWJjayGRwWB DMRxznGD1rqLYAN5T/fwSOxrza31nW4/GUl1Fp80NluO5WVd0zZ2k8/NjIGMHGAOKUU2Ju2rPRJ2 u4dPNqgcYjwiKRg8cAZ4FeU6zZ2Vj4is28Ou13rDXXnTqGaQIikgmRs/L16D0NehjWLzU3eG5057 REkwNzhvMGODke+ePpUSada2crXNvCsb4O/YAN/fn8a7KOFk1eR5eJzSFKXJBXdtH0MXTrbxFb6w Jb26h1C0lZ38wDa0OR9wD04Fad/NPhSQ0SqQd4z8p45yPx6VZt50WBWfhpCXCjknJouRLdQPEsRC sMZZsV2qnFQ5YnkPEzddVKiV1pf9ewtrqNw/lykljj5Ec7t3+1nj1q2suma4yW+p6fE9yA6xiSEM FHfa2PT09K521kENnJFGJROr+U21S2eRhAB1q5e3t3ZmC5trK+gWFS8jTw8DAwSM9uTXnV/ZQ30d j3aE6spXvpfr+n/BPM/iB4W0vRLHztH1SSZH3QCEzglX3cqAOWz0xjjHJrqtQ0uyv7XSraKGC2tp bL7NeXqxpFsk4IBJIYsCpyo9eTUV5pNlr3iSHWwuy4LJsWM5QHoCFPQ9+O9b8F9p0WjzR65Iv2tZ zLE+1lLSAYBbb37e9YKsp7PU9KVOUVdlG70NND8T6PbaZfXf22e3eNZJk8yCQjBJkPXJx15NaOne JdK1e/lsrWd47yKRkkglQo2VODj1HfiszwAfE95qV5PdeUlvGygwTmTKbuSVDkt0yOTjIr0WO1tz KSYI95z82wZB9c0pdmZla3vC8QWZDuBxuI4IrRibCFmAAHqe1cH4qvtV0/xFpkMSvHpsYaa6mA+X aOu49gBzW9c3eneI/Dk8UGqCKC5BgW4hcA7vRSeDSsDOh2pIm4dDVG6HluuTlcE++a4bw9rsugaP FDBPcataC4ljEsgVSVTAIjAPIB/+tU2u+LbS/s4LjT/EB0wOSrFoA3P+1uHGOapwYkXtcutctdR0 qext3lthOouVjwW25HbHTGfSu0SVXUuCCmM5HevF9B+LdnYWjxa59oncSOsV0qA+agPBIB4NSzeI 77wt4Ym1rQ9Rs7jRrub/AES1u42Z43b+AMG6dTz0xRyvYZ6reTzRiGXyY3gWTMpfrEuCdw+lYNnp U2p69DrPlJBbKpWVHUh5/wC6230ycjPNZ2r2vizXrPTp9N1S2hga3R7q2Rtokk4JUOPmAPTgjFdH 4T03UtOs5zql2ZpZZN6RmRpPJXGNu5jk0hdbGhd6ehgxDDD0HysOvT+lMv8ATIb3Tpo0s7aSR02h ZgQh+uOe5rSkG9QAcc1T1VJjpsgt7v7LISB5oi8wgZ5wPX3qhnCarPq+gS27S6FpwsYgwiW3BZUY 9STtGM5z/OusspU1COAyQKk3LSxht3lsf8/rVBmFromp22pvfXEFsjyPLcAAugBPylevT681ynw/ 8TabZ/u5JrkrqD8S3cm54nUEFXbgY6Y4+tDV9Q8zsvFmiw6xorQfZoZpY2DxmU4CEHrkAkVkXPjE 2oFhY2U1/fxxbn8sEpxjJDd+vA611skim3MkbCSNlyCDkGsiaytbKzlNvLb6eXALXAjXgZ98DP1p J9GBm3WryQyabrEljPIkQJm2IqeWr8KrB2GGGRmr3iGwn8RWmmTW0aCIN5p8zh1ypxjnH1/Ss3Xp 4rC3toYLd5bcyJczyFuJApByTzuPAP0HpWvZ+KrWe4khazu4lRxHv8g7FJAxk9uv6U2rx2E1fRmB 4V1mS/s5LK+t2aeMlH3jcpGeOfXGP/r1dutIfTtOf+z7rUDJb7THCk5xjIyAO/FO8TWWpadfx6lo 1osqSp5dykceW45DAZAz2yaq+GNfn1m38y5jWO4WQowXuv8ACfyrGUUybJ6PcteGNcjl8fataz2s 1tLfxxSxNKAGyibSCAT25r0NGJyG4Yda828R7or7Rbqz8hbiC63B5X2BwASVLdgeR+Nb0Pi+e7UR waNNLeKfuw3EboB6lweB+FbUp30k9S4y6M6O+jU2zOQTtwePrQ1tlwQeOtE8hl02Rz+7YL8wznaa m81UA3elbdCwSPYu2pOlNWVGHykZNO2Z5JpCOdhkaJN5HU9KmQHzMk5zzxVRYFY5EpwOoqO6vktl UbsIrqu4cls9h6muYks3wCW73GdrRgkkc8d6xZ2W7uUneEL5Y2x7gNw9ea2NVbGnlQMb2C/UZ5/T NY7EhSQMkDgV6GCpJ3qPoeHm+KnC1GPXczNfiupNPVrONZJ4pUlCMcZCnJrM0bWrrVL1re6tLiCa PlmDDyhgkZHc7uevpWva+dOZfMcCSNiqOo6gjuO2D2+lLa2zQWv2eWeZ1iO4u4GWJ5POM11S5ptS jscdKVOjTnSqJcy2e+/9IgljuYLoJE25XUAndjbjNRR+QJ5Y9U1Wa1Teu3ywfmH1xxzTZ7mLU9dO k20wS78lZQrHbvX1B/z1q5qOj30cc4miWe2OASg3Oc44xjpXlYqrXVZqL907sJQk4Kc4rbt9xrWG j6LplzHeQLJeedOGD5DeUefmJz096zPFNno/iPxja6fdXV5bXiQlEkiwUJJB2+xxn+tVFtwyMLV5 bSTaVYJ8pP1/EVDdacqILstPLcxKWBViWZsYznrmvPeNj8NrM6fr1NLltZ9ir/wjj6Rqs9haTt5S xvcQGRSN4XryOhBB+tFmlrc2rvcXjRlxjb5LPvU9cn8q3V8SuQlta232m3eB1mk2kOspHqe3XNcp aCZ7aMSIVlXjjnOKqbineOp62FnzNwUtEbWgaodFMqP5ktuygIg5KYJ4yT054Hat3UNUd7SPUNLl EiQyZuItnzMv9PXODXOaday3kgCWV1OGUlPLTCnjg5OAfpmtyO3ksrZvP0O6ZXhEMjPLGA4zxnnr 2rSjKVr1ArypKXuk1jqsPiBJrW4iEZZOFLbg6nr2rCOheHvDWi2EPiGSKZLe6f7G0oO1Cx3AYyeQ B1NZkVy8OoyCBJIGhc7N2Dt56ZBOR2ro1ng8WK2l6vZW7QlcqFzknpkdwfpVxmr8r3HOnpzx2PI9 Pt9ZvPG95rlh4c+0WFpO7NYrJhA20E8HjJ4OMdeK5C/N5rmoyeTazMzzFlslDbogPQAAYOccc8V9 G6B4NtfBn225sbqZobhmkeKb5iT2+brxXm+qXGoXV9pHie30O7WzhDRXEcAZmK84cHGcjJ/KulT1 MbjdKt9b0i2ijutBubpkjEdlFdWhaEOx7k8g4zgYxmmad8Idc16QyajINHtpJGkNqDkLnGdkYOB9 SfSnINW8b209nHruqNqFuVeC3u4liWRWON+PQDI7nvWXp3xD8Q+G/EFvDrE0s0FlO8N2ygM7jPCk nkAdgMZq4vXUTvbQ7qx8FeLPAkc3/CPXVtqVjuDG2mGyQjv7Z/HnNb3hjxnPqarLf28NrFLxEfNG SwOCpUnIPSsfw38aLDWtfGn3ll9gt5mIt7iSThvQH0zV/wAQpPpXipZLBIjDMomlWVsxhh8pGwdy MHPqK0rQp8vOnYzpublyNanS69ql9p8MF5aNB5CsPPSVTkqfQjpTNa8SXNj4NbWbSyBn2qRFOdoQ EgEt3wM5qjc+Jrcouy1kcHAaPjgdyKyPFNhbXPhmG/TVZIpxcOsMsk4RFDn5lZX4YYHT64rihKMn ozdwlHdGpoOqarqtxdQeIIrVIpYiqW8bI6SpgBmBBJI6gg+tY198OLd2ltdJhtLeKQMQWLgo3BGM ZGOO/qa5OwjufAuoTavczLiJGSGGSU7LlOuIsZAG4g8j869k0m/i1bSbbUIFKCVNzK33lPcGtJXW q2JMXQvEOkQTweFI7ySbUbRDG+62aMfKM9wBjB49a13jSUPCVDIfvqwyCPSs6Lw3aS+KotfjcrcC Jo5lA4c4AB9iAMU7W5tcF3Bb6NaQNDKrebdTNxGccfL+XrUtJvQBtp4etY9aj1Is8lwoYKzAZAPb gdAAABU3iGx0610+91ie2a4eKFnaMuxVsDGdv0rnJ/D3jGe9t7iTxZBBZWh3u0cGxmXqwYdOADg1 0FzrS63oj3Hh1bfVYjIYpUD43Jghgv8AtdOta07PSTIldO6NDSdTt9V0i3vbJt1s8WVOxh7dCM9q 5eKwiu5INU0cDTCykGxaIK0qqSS20d8Yx0roPCdnqFj4WtbTUZfMu0BBJGCq5+VT7gYH4VD4kl0/ QLYa01srXkX7qJtxG4sOhx16fpWLKZFe2K6lpk1u6Ks0sRWIyRhvLYjhsHuK5W10i98M69Ztbz5i eURSMJBmYY+UbAOMYOfqK7HS5GutlzOu13G485Cn0qDR7U6x4nudSkgiEFtm3jO7cS6nk+3WoavZ IH27nSwtKdNkWQZkKZK+tW451mBUg/LwfShkBil9BGRSWTxtEQMZGM/lXX0NCOYpE3yNj2q3HIXj DZI9qaY4mnKFecZx61YCKBxSA8L8J+LLi51W502bW0uLYLutru4iMRlHcHI7f5zXZWNj5mtzXc0k kt0keLeCV/3SMOCwHZuRz6E1z3gWysta8MtJdrb3MAdo41ABMag5IYg9S3Iz2x61sSQajBpYvNTm tiYv9a6jytqg/ePOM/THWnSnFSs0cleEvig/VGnLHqJbbcrJIQdwCYK9KgBEsWVJAYcGsKw17StV cHT71dzgsBK7fMM9RkDP4UzWru8mt3sNFjNxftCQGjbakOeA5PTseK7o1FCLdtDw8Rhvb11CLd/O +i+4tpqmm2Gpz6fJdgXPlid0bsvTOaypPiN4eiluI5LiVDAcMWiOM/zrP0vRrvw94fu9Z1aCKPVL eb95eTH7Q3kng4GcZ6YrhtLTR9ZXyL6QRxoZpGvDbu8kzN2YLwMED6ZrH629orQ7llNKT5qjbZ2P ix9mqaD4m0szz227FzdWJy5TI+UfhkV6zpGowazpkN/ZlzC+QA67WGDg5B714T4P1TWPB0Uuk3+k tfaZduBEAwyGbG0bT0B46gV6P4SS+gu5ry9aK1gg/dR2sMxfORn5u2Rxz7fWuGo23rqemo8qUYrQ 3tStG+2SXUMbMG4kC9cjjODWTJDvmPmIYyUADZ5/A1vpfO0k0gTIY4UEcGsS71rTrK7+x30mwOQN 5Hyqx6Antnn8q46mFjNuS3ZzVcFCo3JO0itFFdSyxWisESR9ru5+dVPAIxwa6GTTtK0aD7Wy7GVS oYsTyRjpWQ9tNIAAm4AbklB4GO+aybu11BXd7tHMYxyMlB6c1nSTpxfNHUvL6U9YSVv1NGx8WJpm k2doNNupZolClo2THXryaseIvFtnqejzWUNrdedIAy70ULkEHBOeK5vYOxI+hpXs2ltXlYSfZwwV 5OwyR/jThiZ/Cj1ZYeNON77ehWhnZfLiaL53xtSIZ69P51cjnns7zbiS3ukG7awwwBomt7Hw54oj uIomu4YiphHm9WwDnI469jWrffZ/EFrfatcadcWlyiJHDOs2Q+TjGOn/AOun7FN3TszGOLktJ7HS 6ferqtrCwflAPMBxnI9fyrlviTB4lu7Gyi8MeeLoXHmyGORUGwDuSfUjj60mmR6hbRyRyeWiuByj HccD/wCvV3VtPs9fktvPmubaSJSqsjYyTjg89MjvxWsK9PmtdNnF9ZoubjBnPX2gX+ivD4pupXnv JbRItSQSBCMDJZWXgYwBWPPb2Nxp+u6xLGIYJZkR45EUgKcuJGCnLHnpnPINcxquszXfiezbXLie 70eJmhaGJmVQiDaxODzgjJ9azp9Z0241TUrbTbS8XTpGVreNP3i7yCBuRs5znjBGMV18r6m1r7nT aNPc6ndaTqDxRA2sSSWyrEDEsa5XIyOGJXOB0rurDTdS10tcQJlSTummbAJHbuf0rG0uXUpNMtk1 W1jtbuKMRtHGAAMd8DgH1HrW1Y3FtLpT6daamYNYlug8UWSoYjopI7GuGpNVKjjLZHTJuhSU47sz 5N8F5cWkq4mgYq2M4OD1HtWsUa18qxvI7bUbCch0ThhG2fvEH6nNb+oaa2uSmS2vIorm1Vre6Qw7 xuIUkDJHTiqreA5UiBOpoRjkmD/7Kqp0nTk3FXJ9s6kbTOX0zwhq0HiKPU2TT761RAYGkkYrjtsG Dtxx7V1uhTasLme0vNLitbWNf3UkRAUt7DvnPXHapNN0PWPK+zxa0IoY/lUC1VsD05NS6loOrwWU sw8RSvIqnYv2aNQT6V0Ny/l/L/Mwd10LioYYpNjcdSalMv7hNvU9MCuXmttfs9Pi1O7vJiWuFDWs UauoiJ56Lmr0euwpbnEN6XA+Ui1fA/Ss1NddBKa66G6CqxsMYwOc02G3jhDPawxxBvmIRQNx7k47 1zmi6PealpaXeoajq0ErSshTeEyoPDAFcirsMreH9dlsLq5vJbS4CfZpro5XdtJYbsADpTUnZNrR i5tE2jZjcytgHB6Gub+IlvPc+HbeG3ADNdxYlJ/1fXnHf0/Gq2uT3Go3gsNHkneUI0rm2fhRtbaC wP8AeA4qr4h1WS5tdO025tryCZNs7rIm0yMmMc+mQaXtEm7ilUir3LXh3Rk13Ubme/tDJaQqYFZ5 MAyK3JABrtLHTbTTIDBYQJDFksyr6msPwOWMOpQspXbfvkHtkA4rqmXYrgDAzmtqMVy83UqC0uK6 eXasncg5NYsUxhvlTORIoJI6dK33+aJvTFc7qCBLa1lVdrblU47CtXsao3Sy70Y/xcA1Mcdziqbn d9mCnPOaslueQKBHlug6VL4KEmIHv4pIQhNqmASudo292IwCxxXTWwl1PQ1ku7JbWeZctbyAOE9A QeDXL+J2Oh6XcX8UjXOnGdJrqNpCXPzAhAMcL3PfrVvwN4xbxLcXKTQpDhBLDGHBITO30B7Zz71k 1dXJs7XJdYtLTT7tdT1eCGaC0ZDp8cahWR2GCOy4zzknua821jxLbXOsWmrW+iXcMVq5tEW22iLe SS2WTluo+XGPc169e3Ek9/HAEhkt+fNDA7h9O1Y9/o2l2thLa2+mRSeY3ni3DFFeRTuUk9ucUlJL cfQmkgt9X0e4066QtDexdDlSRjP4dq5UfDKb7JifW2+yoCBbpEDsB9D68DnHault7zUb8yT6jZwW vlgeSkMhZsf7R6flWohM8Iikba7847kVKbWiEzB0/wAL6RpC26RQ+fNFjMsvzEfTsK3rTSgrM/lq ru24nseMDPvUriNcIBtORyTg1RS8urmV9NdUiYMTMY58SLGc7XTHPUd6W4hv9qWcniiXQnWT7RFG rhx91iRnb7cYNS3+haVfJGdQs4JmViB5qgkr6ZrLtfBj23iL+111zUWLSKzJKQd4GMhiMZGAQPTN dHPHY6xYF0S1vQAxhyQy7h7j3p6X0GZrR3ML2+n2SxQ2yIVY7c4UEYUD0xWnBIscaRscgnbk9Kyf D1zq16tzNqukNYXEfy7Q25HHqh9KuoGdQ5woHBHpSegFi50awvbgT3MO6QLjcrEfoK4G0v4HlmaN TJbCV4WDj76hsf0r0lTll2qDxkZ71xXiPw3b6bMuqadG6F5WN5ChLBw3O/B6EH07E1nUjdXW6NaU 7PllsyvqsmkEobC38pUX94zLjOcEVvaRaufBFw8sTRErIdsi9RnjiuQuIkntZEK7g6EDnHOOD+B5 rp73xH9t8PCz/fW92hCyRiJjvUDGM44zWVKablNjxKdOKj0/MZHJkBdjZAGOPvcdqcyiRXjYEdmG eRVa4uprRYDbo4c4CuDjaTxg5+tU49RhNpFcIske47WGwnce3PrxXnwoc8OaO9/kfMQoc8OaKd7/ ACI7PwjotjDJHDZRkybgzyDc2GGCMntyaq6Rolt4QuLuXT4juu0Cszncq4ORgeo7VuT38UFolwVd lcgAKvPNVf7TEkE3n2sqJGP3xPRATj+da0ZYp3au0dGEq4iMudpyXVGdK05R5EheU7wucjlzyB+N GkLJcahZBbyWzYzMCEhUuWz8vPT261oaDd3MK3NxbQqElXakkw6Ad9vr6GtKDVtF0x1MiPJfMBct KqJ1ccoCfTdn8K66dKC3eq3PZq1415cqei6FOz8QWmh3U9vpsdxPLLOZpkuMJtOMYyCc+tWp/G+o yEYtoYlxjBy3NYVzeQ6jqd1ewIdsrjBbGcBQO3Haq8+yTbDgvK33EQEsT7AUp15Rlyx2OqlQgqfN L/I9D8LeIjrN7co0CxyKisdrEgg9OorqT8wwygj0NY2j2P2TSLPZFtkSJVI6ngdCe9asU4dsYIPv XpQjLkTbucinrZkm5QAAD9AKUsrDBBI+lKOT0FLwB0pmgwlCMEcD2qlq2mWetWD2d5EHjYHBKglD jGR6GtBelI5wMetJpNWYmk1qZuk6Jp+h2Sw2UEalUCtJtAZ8f3j3qnrfhnT/ABBNBeXb3CPEu1fK fbxnNbWVLbTknuacYwMY6UuSNuW2gnGNrWMTQdOi0pr+CFpXJn8wvI24scDv+FbuN4yeh6VQjljS 8khUHefmYk5q6sm2IfTrVRSSsh2tsKhzb4PXFZjwLcaftyThMrn1rRLqlqH6gLVWAhYELY+6c03s NFGznZrO3Yn545tv4VtsuTnNYOlRGSWbqY9+9R6GtiSYq+P6VKBnmPh3wvaWGkxeXbwzXV4xlmnY bwuR90BuSuCevrXQPZpYeW9nb21uQQbl4kCM+BwOByM4qtrsi2Fm8sFxJaXU8mI2iRWDPtwobIPH AFOtrme7gHmp+9YDzAOgNYNtkXuQx3kQuIzNMkaySBV3Njcx6KKtNAjTeZIxOzPX+dct4t0e1v7i zs7W3km1wRtJZqJSiKVIO9vYE/j0p+ieFvFN/G0PirXA9ucb7W0RVMg5yrOACB9OtHKrAdXbxmeB bm3kjlgfkPGQQR61gX/jDQksLa5a+jYSz+SsiYwpHUn/AGc8Z9xXT6RoOnaBatBpsBgifaCpkZgA BgYyTjiq48J+GlZ3/six+UHd+6XjIosuoia0nt7u3ErtG8JUOsmcqy9jmuZutLmuPGVjqWkiNkiT ZcyO5Uqm7sMfNkFvyHpWRpMUC3ep6NY6rLJpiSJJHaPHhoUIDbdx5256eldKMgkqzKSMHaxGRXJW xcaM+XfucVfHRo1OW1+5pvqcQmZI186NImZ3zjIHYetczoejr4fXFhcTIhJZombcmT3A7H6VpJby TTCOIbiQPlA9PU+lF5DJbSGFzvbggpxuHfFYzr1akFKGi6/15HPUxFarBShour/rsSG7uwVka4dm UjAztGPSr8DK0O/JaNyMD39KxgJncbtqqB9TnH5VbsQ4u41jyYkPzjPA9/r/AI0Yas3Llk7t/gPB 4iXNySd7/gat6zfIUOBnjFLrN9Hp2jvezo7hAvyouSckDGPxqRk854toIQMSSao+LbK41LRRb2jx rI0qnL5A/SvQVr6nqq11cwn8LxR/6Tp04+zXZEixtkiPIH3R6d/atjTrP7E0kMtw86yKAUk5FXFV LS0t7X95K8MYTcBy2Bis9RIILqVsmQjCoDkqKzaSd0OdSXLZ7IgurS21jVY7CBVitTE24hR+8II/ StLw5o+giOQ2rLeTKcNJKh47jAIx26j0rEjR4tRivbW58qVIigGwMCD7GiGIW3yQ3csUpUAlJCpO O+Olc0cVCNm1r10PKjjKcdZLXroV9Ia4udQgtHtZFmjlkC+ZGduQG2t9Pu/lWdqcP+l6jC0u1vOw 0Z3EvzwcAdOSeTXeaVe6jqPh4TW0sEt2krKskq8MAxHbviuf1bTdY0W5i1eQQ6i3m+ZMfL4TAwOm PX8MV3UUoRuvU7qcFGPu9dTV0vw5GNJguNWnmTjc0e4KFUdAcc9PfvXELHC8zLbxMyF28kBeWU9O OvStfX/FTavFb2sun3CRiUEmKUZ54HBByfatLwbax7ZJpY8XkchjcMOUAA49qwmo1Hyw0R0UnGi2 oqz9DFstLvJ3ltobMRNtwXmRlEf0A6muv8O6GunRKzIrT4OZWHzN+PpWw43EexzVq0BCNISMH7or WnSUWEpObuya2JaJSSCe5FKTh+OT39BUNoNrSp2VzUzDnnp6Dua7Kdr6kTvbQlDZxTqiGQeTk+tS DpUvR2LTuhajC7iTUlRocA0DIpW8qRCD8pPNFxMVh3o3OOBVe4nQyeWCCetU4bk3LGNsKOwFRza2 Fct2MQ8xmdf3g6t61dX7rr9aqeeIrfCMA/QZ71NE7PF5hGGHB96tA+5OUD2wVhkYrGvmKaQxUEHb gfnW1Gf3CH2FZcyo+lybzuC5P603sNE1tGINPjZV2uwBOKkPzc02xZprCMv3HH0q0kQCgUgOImh3 QL9oZdwbezMM4qOw1XTmmFvb3UE0rfOyq4JA9TjpXNeNPFenaaZLO+utsCECSNAC0rY3BQD26c9O 1VINPaVrybTIhBaLB5szOcZVgRnC4yePwrCUeWHMxShyw52zorjS7vVNXj1iHVxYlFMKxKQ2VDnJ zkfe4PtitX+0rPR7aGzl1K3mnxlnnlwzD1+UGqOmal4JurVA1tbpIGWMq8XO48D86w9TtLaHx5dx Wa21k9vADD5jARlsc5Hfgn8qwlVfKmrM55VXZWsZXi/x5f6jfXejaRp5uNLVohJcq4UsAQz4zxtI 4z9a1tEsrTRdPurCyWZNQu4o5LycP8o3dFXtkKe3FWYrnQNA0e+tNOZ717yF/OljYOIsqRyfTJo0 whrWKaQZYRKC5J54xU1MRKFP/LuY1q7pwv1H2en2uj2flWUCoM5Y9WY9yx6k+9R2uo2+tSXNvpTP cXdpMElKEbSCOq8jgHjNae2QIrtEyxsSFJHWuW0ey0/RPG01/HK4UxNGYVzksxycknkegFYYJLmk qsfetfU48JBObVZe9vc7Cw1KOztLlCy/aSw2KTyeAMfgc1VWY3WJWcuRkDIxt/ColIjWS5mXaxJ4 /urngCka8ijYeZ+7Vk3hm4yKwrzlNclNPlWnqZ16spx9nTT5Vp6k4Y4JYbcH161a0+CTzJXYFQyh l9xisb+1PL1NBFbPd+WPnhRckZ6EnoK0fJ1jVSY5o1sLZ8F8PmRl9BjgVrhaXJ7z37HTgsP7P95L d9CDVrrVL3XbZNEuTstE3XMZI8t89FJ5O7ip5PEkmo2tumnafJJK2DL5mUSM+m7HJzW5aWsGnwi3 ggWNARkL3z3NLcBPLc8EL2HYV2Wk+p6FpdzHTWZLS9EeuRLbNj93NECYn/HsR71pWctvcGW4t5kk RvulDkY71NaGOaFGkVQGGcEZzWXe6deWN1Nf6SiFJVzPasD85B6r6EinqvMNY+ZR1zT5tRv9Gulm hijhvF/dzFsSjByAB1PHAPFVtR0V9X1Gw1eyvUW0shKDbxDrITg/yxU/iTR5PG+j6fJpWpyWNxBO JEdc/KRkEFfUVY07VLW/8HX4uphCiTS2hnhTa0jA43KP7xPp3rTRxv0G+VrXYydM1nVLF3tvtkNr CWZ1/cbsEnODzXQaL4kg1HTp7PXZYjO7bVTbs8xT0A96zboah9jaa80EyWoUeWYX/fqDxyMcnofx qmdMs7jSG1C0uCVUjKSEAhu49iDWCco/CXBUnorp/gcrNrN9ofiYG1025kgaRhAF+eSNiDwwPUA8 /QV0fhHVru98bTTXEkphmtSQ2AFdgV9O+M1kOkguVnad1hmVnR9hZmYDjBz+Gaw/El4kVtHEbi6i uXBWP7NlSo4B3EduR+lOMtdgcXq30PewxZQB3OTV1BttlCjLE1zvhd0ufC+ly2zFg1shwWLHp1ye tdPDgqCBxXTDcELtCjAAHrSqOaViKbu21oMdjDZpwOTUZclN3GPpTFmUsRuGR2oAnf7pqu0yQN8x Y7+fpUu/dxilaMNGMqM46kUxmNcoDIH2secgqKzGMlo7FCdzMWHH866gRgDqayL7LXKAruB4HtWM o9SR8kBu4om4UjBIq/bhfJMe4E4xwelUL2MwWyuGx0ziprV1RgMYZjWkWV0LsMmF8p+GzwfWs+W3 eeGOLdtRpSGA/GtFkDhk7jofQ1VgmWNCpUswck1ok5aIlvlV2XkjWGFUToowKasjbaJHBh3g8daR SCoNIaPF/CnhDR01qTUZpGvrgp5jG4O4r6Zz09a6aTXdL0fX75bn/VT2sSosce9eC2QQOnWsa18P a1o2j67eaxqyXT3No+1FQJ5Z64Hriu60XQ9PstEga3thukhQs7ph246muaq5TnaPQmtLnqe5saNt p+nCNHt7K3RXAcFYQPcdq4TxLb2mqeMJoIkhgnggy87qxLkjGAAecCvQlkWGJTIwVcY3McV5/r00 Nz4g8yJl80W2RkZx+8OQeeOKmso8uplVso6ixzXNtFDEhaQbAGDdDitDS7AzhJTtEUZwq+pHGa43 /hJreXSru4huI57izba7LGVQZbGdpzkDr+FekWtuINGSGa4iZ2j2mVUCKxI6hc8VzUqUnrU6HLQp Sk71fst/eZWqS775kLjyocbQPUgEms8SW9xJs+VymGHGQD7GoSI7pYvKkRsfeaNgccVOkSxYPU9A Av8AQdTXDVanJyk3zdEedWkpycpN83RETgzSM0nyRR5yT345qtPFLqMun2Fi5ia4zK7j7vlD+LB4 z6VJqySJb+beI0enAHzV5Dy+gGD0J4Oa2dKsblZ31K6iSCSSFYLeBTny064Pv0/KuuhCajZ6eXb/ AILPQwtKcY+9p5dvP1Zo6XpFrptu0VqGCu2XdySXPrVq5aMNt6lVORU6cDA7DqaxrovHdyyyr8m3 AxXZZJWR3pdCxaSPcNIznG0hQB0pID5sTZ+7ls+/NT2xiRFRF+VhmqUbNHLcxIcAD5fbmgZasXC2 6FRnkhfpmrVsJBvJ5YsfwqmXWytQF+Zhwq9yas2m6JNshJcnLEetNAYFtY67opa0tPsbxSuzC5kz kZJJyvrz61a03QZ1v4J7y4t3gg3PFBBD5aCRjkuRnk9fzrWu5GRY2IyM4IoRniwz4C9hUqCWhHIi x5hMzDoAMVxXijwRZeIpWDTvbqzBpYo+FkIzgnHfmutkYtMcAlivQetItvHDKWuJiz91UcCqauU4 3PJfEvh/XvDmix/2bObuC2KrCpQlo0GTtP8AsnNSaJocfin/AImN9px0/AAnWEELM2ccA9sAfnXr 4gIDFV3o3ORyDUL28jGICL5c9hxScHsyeVvR7DNIhsbSCOC2iWKJM7FXovOeK3YyAvHfmseOO1sm ZHkUvIxIYfw+1aykZwPSto6I02HE1WuiGgOD8x6H0qzjNVboZQANg56YqnsBQs7uSVXhdjvXg81F Os0TM6sQSAOvagRC3vGdjgOBz71bkYOrDgEdzWIhtteNFKQ25gDgYq07MQcE81nQIsJAJ/8ArmpZ J2iEW7glsN6VSegxNrtIdjMPXJpkrvBKHzv4wPY1ZRtynOOTwRUU0AdWQg/N3zS9BE0E8d5agt9C D1zTi/lXKqEG3oDWPP5lqqLG3zhs/hV+OVlcyHkkCqUyrmqrATnPcCs9RljludxpPOkG1ic85PtS qGZWYAA7jV8+l0J6lpZYyojYAD1FRwXC28ZjnbLgnn1HaqdyHSIyA4KjkDvVWK/iZMyN81L2ncFo jI8P+G9I1Dw5YXt5ZLNcTpudndjyfxrp765vLaS0SysDcRvII5SGCiJP73vWRPc3llo2mweH7e0v flwMv5a7QOoGav6lrkulWli0tn5lxcnYY1cAIwUseT24NYx5Yq222pkrRVjG8c+X9jsUeNZkWc5V jx909fpxXn1w9vJItj5LO0oy2xcAL6k1a8QagVv7/UZw4glKt5Kv5hzjbhcf/rrK1aLUjf21lZlZ ZZ7bfbyxNtZUIyfMiIJ3Y6Hgdaz5faty2OmlLkV2t/yNtoIb5INPuIENuzKrYGMjIruPEt0bTTU8 vG8uFU4Bxxz19s1xdlL/AGxrC6bG6i7iiwyHgoFA+96Hmtp7tY0t9PufLvTDvZjkqFIzgZ4z3pRU opx2H7OnFpwXqjKt7C6stsdvC0RnPmrGqj5i3U49eK7LStPEMe94glwRgnfuA9SPrWHbXeq6pq1n d2sFulvE4iuAG5CEE8Z98VcbV5j5+m+H7Mz+SdjXBf5I2P164oSgvf3uY1VFSu4pMzvtN54huBpU kADW98XkdPupEjfKM/3jXYGHa4cnOOOR0qto+mJo2n+WZGlmkcySuRy7t1q7y/mHpjgVcV1e7Iin uyO5lC2vGMlgv5msnWAytCdxweD6U92f+0EgY4zIHGKm1FPOaKLABYkZ7CmyxZJVtbdAgyxwFH9a jhgMQlkl3bnPfvUlrtMCyMMumUUn270jSq0JlaR+WAXHegCaJPO2SMm1mH44qyY4x8oB9S3pVKJb mWaQwoWSPgMe5+tK4u1TypRyTye/4CmFi5zLCHIzzlQazZrr95M75yv3ENWZRqLoFW3aKPuSOcf0 qjJp9zcsFhRsA8yMMAfjRZjSNaGR47S3dFG9kDMT15pzFWbawyDUcrNHHCkbeYyoEZhTYt6qCV+Y 92PNNiY5Va24BbZ2IPIqQyuseWkbnjcD1FLHu7ngj0ojQBNvDL3oQFK8iSaLIb5vWtHTLoPGImfc 6fyqJEjV2RhwexqhG5h1J5VI2/dIpxdmNHTBsEZqO4QyKQoyRUH2lWAGcd8k8GpGnIG6PkdyPWtL poLlWaGUxkSIoXvUSKO6jnjmrLyyTJgMPyqu7SINzDocHFZu3QRAEfzmXqoJOR2qdBut0MoBPel+ YMW2jnrinCMiDa3WkBDbptdhn5WOQD2qzIcLznFUEuR9oVT1HpWgSGUE9PehAZ2oweZa+eCfl6jH Wn2zb4UJwCRyKsXZ22kp7bTxVHTwfLznjtR1Avqh2YHNOgKqjgk/e70hkEQXd/EcCkD8soIJLcY9 KpbMCYgBcNgg1zt5bGO6cRJuUnOa3JZlI24yB1NUCrE9cUmho4fS9Vu7e9s5o4FumiUpbpt2sFI6 cfjV7V/EFx4hWxto9PkjuI5m4VgcnBGBzUFloF1daFBqdgZpJhJIGRZMHAJHHfP41QL2cWnZje7j 1ZJsAb8cknkd+xB+tcy5+XlfUtuHxL+n/kSzTS+Gp7e/1bS7gW4k2qSFPz4OMc11ulara63pUGr2 jG3jkfaS4G5gD0NYHiibTPG/hqCOTVfs9rbrK9zbmZYpnkRTtXDZBBYHt6VymizT2OhIksjQ2zKr CESMUB9hmtLRpK6ZKcqs7tmtqnhzT/DniV73S5pIFuELTxq7HLs3BpGnEQM8i7gnzEN826h/PSBb ma2lSJsfvJBjr0qvcNHMiBAJvmB8tTkuM8jiuWpUlOWqOuLjCm3F3sb3h9tY1qxCRImn2ztullRN rHPZB7DAJ/Ku20zT7fTbRLW1jCRp1Pdj6n3qK3nQRoqoUVUHygfd46VITekljblEA4zXXGPU4Ene 7J3cGVgeSq5FVJbooYkXky5JFEUT7WklkwEGCecc9uO9KsgjIMChm/il29PYA9BV+pVilBbXMuqS 3DxOCF+UFasuqQR7p0WWf77KWPy+gGKjguZ3up4/OfaDgZNWVjRnKSYzjHTrS06AMEtuI2X7MuNu R85+tESWk0CP5TrjkRk9fxp0ttmMBMkr2PcelU1DRwKpzlJBz6+tFwuX5JmkQLsQIM8AYqG2kvXh CLM6heBhuCKmKlhtQcGnkJDF852hTnNO7C5nut1BKWWRg+3cCD1weam33ErgyyOyMPXpTXllunxE CIx0bHJpQJRj5j8p2hTSuAyW3jimQjOec7T19KntVY2xWXLMODSRRSCctK3JHUDip14nPQE+3UUI QqMPLCyHBx371IrKoxtx+FNm2sNoHPr6URscY7dqYCSqJsEEgqevqKp3FuscYKtwT8wq6GK8E8e9 V51WX7hyf7tDGNsckSRSHeq/dPtSl5La9RY2ZUZeSDTtjRXEajC5AzjpU0hUyAbQW/lSEThvOViu DIOuO9RKHYFGyD7jrUSBVkLA9+cVcjYyxZHLAkde1UtRkcQABTqaR2xGeCQOKeA2/wCbgimSjCjP WkIzJIyZCFwiEda1IATbqzDOOKrSLvj2k4/vECrlrLCIihPHXmnFXYxsi7lxxg1SsoGhSRewPGav yKhI2Z555NM8rbCVHX1oa1AzYJmud6seQ3yn0q2V5PykEenfis+xVobp0J5zzitSNvNmb5iCR0qo LRj6CxQAqcnrTzDCDjio921sLJg/SkA3ZLuynPQU1YLmXpyXHhTwc/2rypZ7cSSEIxKkliQMkZ71 59fXIu9VklkiSE3D5CQrtwRznNdZqnjzQtR0u6t9OmjvWcyQSDJCrgEFiR1Hpg81xwRZIFnifzpE UhHznPvXHXko2ijWhBO/l/TIbnTr6+tTDZabNOtu+I1jtgVkJ5O5upIzVTwxZaob21s54pTcJOCY GYfuwh55z7jpXR2eu3mgpJJbqZVfny25UMcDOPXit3wlpRt4pdUmWJ5rs7omQcqp5xUwSmk0c9Wm 4VGl1/I6q4t454gkiAqCDg1Cljax79sKBiOSAM1YZgmxTkk8UgIEnP8AFXSMqGOS1hRorRriQyxg DzCPLUnknkUsJkby5GSS3ldQWVXPXJ55J9K0JYoywDIDtUDJFVG8rztsajjk7RWjkkrDuSSK7FS8 zEDsQKeCFLAkVEqM+1nJ45x6U4fJkgEsagRUhiWK4nn/AIS3SrbNl87R8vNQfLGGLE5LFsYpkk29 cKDlsAL3x70gJTO3ngA5GM57USojRjJyS2c+pphIic7hksPlX2FRqzTOkrnESrn2BoAuRPkM2AAD j61mPKb2cyMcQxkjHqae9y90RDb/ACx9N+OvsKngsRFEB0wchc9frQMmT5UVjwoHKgdKiNzAcsCc rz061LKrQlZVBA6MBSS7WKmNWduvy9B9aBDoweM7sEZIIqGVzBcRhTuB/hqxD5zR4YY545zRKkcZ DkZYdwKabTugavoOLZRtjc0Nu2krjI5+tVbOSNhI6nktg5q2A2M4U5qpy53zCjGysMG7DjIbByM0 22lDzOm0YB4xTCfIYoDkv92p7aNY04XmpKG3GXYRR7dwOcntTVQJLukk3t6dKbD+8upn6EfLUcmD cxqufU0AXdkSwlkTG7vmo4kVNxHU+tV0lAfYWAwccmr/AJIWIuW69jT3EZ93qTQMB5UsxaRlXYQN oCA88HvU0ExuFJwwUqrAP1GR9BTZIgFLIXBPXDEc9M/lVjy18sumRv8AvEsScj61TkmvMe6ImjJB 5OfTNOii2AdsUikFC54APJqZQCN3atKbpwtJ6sykpy0WiFHLgelOf7vFMXicj1FOlcJEzscBRk1F SfPK5cY2VjGkK22qO7AkSDH04q5A+WDryOmRUbQh7Qu6kMRwc+p4NJYp5VqEKkPjnFJXSZp0Jp8F 0J9cZqB7lI22lm/OrqqsiYJ3Y71nXFiWmLCTGazZJ49r0+mxaVdSaFC9ta6TPFp7zoiMJySQz7ej Hryeue1dnrvhq50iwtrrSYftKPIkZtbaPbtUjG4ZP97k+30oorWVKDWq3HH3XdbmHNBdxaNHcagb doJmKC6tpQ8ZYE8DvwRg5A5rqvCXiOIxR6XIuCTthmQZU8dD3z1oorCEVTqJR2YVJOabe6R2DqWI yfumnRxKjCSRhgHAz3PpRRXVUio2t6mVNtt3ElMszEbgoPUgUwQjptwBRRWBYrHyzkHkLnFMnkZL YsD8zCiikBUOIo4nkfHGB7k0wzkgrEgwuNrNRRSGIGEjKS65zjdk/lUxt13DI3RjgL2FFFAFu3hW Njg5A6cdKmOFUse1FFUIzzKbyc5JWGM44/iNWJRJFBuQqgHQetFFJDGxMbeZ8n5D830NWZNxyUAP tnrRRTQFS3szGZCV2q3JXOeamik8lkiY5DDAPvRRQAXCkJvXG4dMCnMH8oF8ZGOR2oooAaQFfaGK sec+tUnkkFwwiUEgY3GiikwC1iFkDIxEkpbLH0zVoO1xIS5OV7Zooo8gHhvMyvQjg1JHtDGE/dfj 8aKKa3Ehsq7z5KcL/EfSpEIII7DgUUUDHAAkE9qJY90LKRkkd6KKfQRnWkj8xTclOAvrirQXzHyS QR0HpRRV9CmTxxqgO0dTmq7J8x470UVmSf/Z dataset EPSG 6.13(3.0.1) 67