),
				nil,
			},
			name: "NodeA and nodeB have same topologyKey and label value. NodeA has an existing pod that matches the inter pod affinity rule. The pod can not be scheduled onto nodeA, nodeB, but can be scheduled onto nodeC (NodeC has an existing pod that match the inter pod affinity rule but in different namespace)",
		},
		{
			pod: st.MakePod().Label("foo", "").Obj(),
			pods: []*v1.Pod{

import org.apache.maven.project.collector.RequestPomCollectionStrategy;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import static java.util.Comparator.comparing;

/**
 * Builds the {@link ProjectDependencyGraph inter-dependencies graph} between projects in the reactor.
 */
@Named(GraphBuilder.HINT)
@Singleton
public class DefaultGraphBuilder implements GraphBuilder {

	"reflect"
	"runtime"
	"testing"
	"time"

	"github.com/minio/minio/internal/grid"
	xnet "github.com/minio/pkg/v3/net"
)

// Storage REST server, storageRESTReceiver and StorageRESTClient are
// inter-dependent, below test functions are sufficient to test all of them.
func testStorageAPIDiskInfo(t *testing.T, storage StorageAPI) {
	testCases := []struct {
		expectErr bool
	}{
		{true},
	}

		interfaces, _ := net.Interfaces() //TODO create interfaces
		for _, inter := range interfaces {
			addresses, _ := inter.Addrs()
			for _, addr := range addresses {
				addrIP, _, _ := netutils.ParseCIDRSloppy(addr.String())
				if addrIP.String() == nodeIP.String() {
					klog.V(2).InfoS("Record Host MAC address", "addr", inter.HardwareAddr)
					hostMac = inter.HardwareAddr.String()
				}
			}
		}
		if len(hostMac) == 0 {

    // arguments must correspond to different resources and we can assign unique
    // IDs.
    assign_unique_id_to_all(func_op.getArguments());
  }

  // Since this analysis is neither inter-procedural nor inter-regional,
  // each region attached to Op's within a function is analyzed independently.
  // Seed this analysis for each such region by mapping all resource arguments

You will also find it easier to take advantage of Gradle's power features to improve build performance.
+
The main downside is the extra work required to perform the migration, particularly if the existing build is complex and has many inter-project dependencies.
However, these builds often benefit the most from a switch to idiomatic Gradle.

				}
			}
			assert.Equal(t, testCase.expectedConvertedObject, outObject)
		})
	}
}

func TestUnstructuredToUnstructuredConversion(t *testing.T) {
	// eventually, we don't want any inter-unstructured conversion happen, but for now, the conversion
	// just copy/pastes
	scheme, _ := test.TestScheme()
	inUnstructured := &unstructured.Unstructured{
		Object: map[string]interface{}{
			"apiVersion": "v1",

  // Check for presence of unknown side-effecting ops within the while loop
  // body. These ops act as barriers and the optimization would not yield much
  // inter iteration parallelism for this while loop body. So return with
  // warning.
  if (chain_resource_to_ops_map.count(kUnknownResourceAndDevice) > 0) {
    std::set<std::string> blocking_ops;

	//
	// Users of ClusterTrustBundles, including Kubelet, are free to reorder and
	// deduplicate certificate blocks in this file according to their own logic,
	// as well as to drop PEM block headers and inter-block data.
	TrustBundle string
}

// +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object

// ClusterTrustBundleList is a collection of ClusterTrustBundle objects

	hasConstraints := hasPreferredAffinityConstraints || hasPreferredAntiAffinityConstraints

	// Optionally ignore calculating preferences of existing pods' affinity rules
	// if the incoming pod has no inter-pod affinities.
	if pl.args.IgnorePreferredTermsOfExistingPods && !hasConstraints {
		return framework.NewStatus(framework.Skip)
	}

	// Unless the pod being scheduled has preferred affinity terms, we only