本文整理汇总了Java中org.onlab.graph.TarjanGraphSearch.SccResult.clusterVertexes方法的典型用法代码示例。如果您正苦于以下问题：Java SccResult.clusterVertexes方法的具体用法？Java SccResult.clusterVertexes怎么用？Java SccResult.clusterVertexes使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.onlab.graph.TarjanGraphSearch.SccResult的用法示例。
在下文中一共展示了SccResult.clusterVertexes方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: buildTopologyClusters
import org.onlab.graph.TarjanGraphSearch.SccResult; //导入方法依赖的package包/类
private ImmutableMap<ClusterId, TopologyCluster> buildTopologyClusters() {
ImmutableMap.Builder<ClusterId, TopologyCluster> clusterBuilder = ImmutableMap.builder();
SccResult<TopologyVertex, TopologyEdge> results = clusterResults.get();
// Extract both vertexes and edges from the results; the lists form
// pairs along the same index.
List<Set<TopologyVertex>> clusterVertexes = results.clusterVertexes();
List<Set<TopologyEdge>> clusterEdges = results.clusterEdges();
// Scan over the lists and create a cluster from the results.
for (int i = 0, n = results.clusterCount(); i < n; i++) {
Set<TopologyVertex> vertexSet = clusterVertexes.get(i);
Set<TopologyEdge> edgeSet = clusterEdges.get(i);
ClusterId cid = ClusterId.clusterId(i);
DefaultTopologyCluster cluster = new DefaultTopologyCluster(cid,
vertexSet.size(),
edgeSet.size(),
findRoot(vertexSet));
clusterBuilder.put(cid, cluster);
}
return clusterBuilder.build();
}
示例2: buildTopologyClusters
import org.onlab.graph.TarjanGraphSearch.SccResult; //导入方法依赖的package包/类
private ImmutableMap<ClusterId, TopologyCluster> buildTopologyClusters() {
ImmutableMap.Builder<ClusterId, TopologyCluster> clusterBuilder =
ImmutableMap.builder();
SccResult<TopologyVertex, TopologyEdge> results = clusterResults.get();
// Extract both vertexes and edges from the results; the lists form
// pairs along the same index.
List<Set<TopologyVertex>> clusterVertexes = results.clusterVertexes();
List<Set<TopologyEdge>> clusterEdges = results.clusterEdges();
// Scan over the lists and create a cluster from the results.
for (int i = 0, n = results.clusterCount(); i < n; i++) {
Set<TopologyVertex> vertexSet = clusterVertexes.get(i);
Set<TopologyEdge> edgeSet = clusterEdges.get(i);
ClusterId cid = ClusterId.clusterId(i);
DefaultTopologyCluster cluster = new DefaultTopologyCluster(cid,
vertexSet.size(),
edgeSet.size(),
findRoot(vertexSet));
clusterBuilder.put(cid, cluster);
}
return clusterBuilder.build();
}