"build-events",
					"resources-s3",
					"plugins-jvm-test-suite",
					"plugins-version-catalog",
					"plugins-application",
					"reporting",
					"tooling-native",
					"language-jvm",
					"instrumentation-reporting",
					"plugins-java-library"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[

            }

            Reporting reporting = m.getReporting();
            if (reporting != null) {
                for (ReportPlugin p : reporting.getPlugins()) {
                    validateStringNotEmpty(
                            "reporting.plugins.plugin.artifactId",
                            problems,
                            Severity.ERROR,

    * This fixed environments where CPU and Memory Accounting were not enabled on the unit that launched the kubelet or docker from reporting the root cgroup when monitoring usage stats for those components.
* New default horizontalpodautoscaler/v1 generator for kubectl autoscale. ([#26775](https://github.com/kubernetes/kubernetes/pull/26775), [@piosz](https://github.com/piosz))

  optional string name = 1;

  // singularName is the singular name of the resource.  This allows clients to handle plural and singular opaquely.
  // The singularName is more correct for reporting status on a single item and both singular and plural are allowed
  // from the kubectl CLI interface.
  optional string singularName = 6;

  // namespaced indicates if a resource is namespaced or not.

    return entryHelper.valueStrength().defaultEquivalence();
  }

  // ConcurrentMap methods

  @Override
  public boolean isEmpty() {
    /*
     * Sum per-segment modCounts to avoid mis-reporting when elements are concurrently added and
     * removed in one segment while checking another, in which case the table was never actually
     * empty at any point. (The sum ensures accuracy up through at least 1<<31 per-segment

    return entryHelper.valueStrength().defaultEquivalence();
  }

  // ConcurrentMap methods

  @Override
  public boolean isEmpty() {
    /*
     * Sum per-segment modCounts to avoid mis-reporting when elements are concurrently added and
     * removed in one segment while checking another, in which case the table was never actually
     * empty at any point. (The sum ensures accuracy up through at least 1<<31 per-segment

        if (depMgmt == null) {
            return;
        }

        String importing = model.getGroupId() + ':' + model.getArtifactId() + ':' + model.getVersion();

        importIds.add(importing);

        // Model v4
        List<org.apache.maven.api.model.DependencyManagement> importMgmts = new ArrayList<>();

# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(
    name = "tensorflow_framework",
    additional_linker_inputs = [

# errors.
# There is ongoing work on Bazel team's side to provide support for transitive
# shared libraries. As part of migrating to transitive shared libraries, we
# hope to provide a better mechanism for control over symbol exporting, and
# then tackle this issue again.
#
# TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping
# all library archives in -whole_archive -no_whole_archive.

					// clean import.
					err := globalIAMSys.DeleteServiceAccount(ctx, svcAcctReq.AccessKey, true)
					if err != nil {
						delErr := fmt.Errorf("failed to delete existing service account (%s) before importing it: %w", svcAcctReq.AccessKey, err)
						writeErrorResponseJSON(ctx, w, importError(ctx, delErr, allSvcAcctsFile, user), r.URL)
						return
					}
				}
				opts := newServiceAccountOpts{