} else if (cmp == 0) {
      switch (range.getUpperBoundType()) {
        case OPEN:
          return aggr.nodeAggregate(node) + aggr.treeAggregate(node.right);
        case CLOSED:
          return aggr.treeAggregate(node.right);
      }
      throw new AssertionError();
    } else {
      return aggr.treeAggregate(node.right)
          + aggr.nodeAggregate(node)

/**
 */
public class LifecycleTaskSegmentCalculatorStub extends DefaultLifecycleTaskSegmentCalculator {
    public static final String CLEAN = "clean";

    public static final String AGGR = "aggr";

    public static final String INSTALL = "install";

    public LifecycleTaskSegmentCalculatorStub() {
        super(null, null);
    }

    @Override

    } else if (cmp == 0) {
      switch (range.getUpperBoundType()) {
        case OPEN:
          return aggr.nodeAggregate(node) + aggr.treeAggregate(node.right);
        case CLOSED:
          return aggr.treeAggregate(node.right);
      }
      throw new AssertionError();
    } else {
      return aggr.treeAggregate(node.right)
          + aggr.nodeAggregate(node)

ProjectDependencyGraphStub

Since they define the primary structure of the project/build.

The stubs define three top-level targets that are defined in  LifecycleTaskSegmentCalculatorStub;
clean, aggr and install. "aggr" is an aggregating task while clean and install are lifecyclephases.
There will be three items in the task list for this dataset.

	}

	if types.Contains(madmin.MetricsDisk) {
		m.ByDisk = make(map[string]madmin.DiskMetric)
		aggr := madmin.DiskMetric{
			CollectedAt: time.Now(),
		}
		for name, disk := range collectLocalDisksMetrics(opts.disks) {
			m.ByDisk[name] = disk
			aggr.Merge(&disk)
		}
		m.Aggregated.Disk = &aggr
	}

	if types.Contains(madmin.MetricsScanner) {
		metrics := globalScannerMetrics.report()

        MavenExecutionRequest mavenExecutionRequest = new DefaultMavenExecutionRequest();
        mavenExecutionRequest.setExecutionListener(new AbstractExecutionListener());
        mavenExecutionRequest.setGoals(Arrays.asList("clean", "aggr", "install"));
        mavenExecutionRequest.setDegreeOfConcurrency(1);
        final MavenSession session = new MavenSession(null, null, mavenExecutionRequest, defaultMavenExecutionResult);

                    }
                }, null);
            });
            final Terms agg = list.getAggregations().get(SearchLogPager.LOG_TYPE_CLICK_COUNT);
            final List<? extends Terms.Bucket> buckets = agg.getBuckets();
            updatePagerByAgg(pager, buckets.size());
            return buckets.stream().map(e -> {

				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>mapper-extras-client</artifactId>
				</exclusion>
				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>aggs-matrix-stats-client</artifactId>
				</exclusion>
				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>rank-eval-client</artifactId>
				</exclusion>
				<exclusion>

paging.search.page.start=0
# Default size of search results per page.
paging.search.page.size=10
# Maximum size of search results per page.
paging.search.page.max.size=100

# searchlog
searchlog.agg.shard.size=-1
# Request headers to include in search log.
searchlog.request.headers=
# Batch size for search log processing.
searchlog.process.batch_size=100

# Minimum width for HTML images in thumbnails.

          "type":       "stemmer_override",
          "rules": []
        },
        "indonesian_stop": {
          "type":       "stop",