### Node Binaries

filename | sha512 hash
-------- | -----------
[kubernetes-node-linux-amd64.tar.gz](https://dl.k8s.io/v1.14.10/kubernetes-node-linux-amd64.tar.gz) | `3f509a406e2c1c889ad447d37f9f34043d61f7e60f14dad2c6a94980283381695e99d058b6a783423d4c5e742d1d6c0c0e16b049dc2e49b6f203bce7c97da025`

  public N removeOutEdge(E edge) {
    N node = super.removeOutEdge(edge);
    Multiset<N> adjacentNodes = getReference(adjacentNodesReference);
    if (adjacentNodes != null) {
      checkState(adjacentNodes.remove(node));
    }
    return node;
  }

  @Override
  public void addInEdge(E edge, N node, boolean isSelfLoop) {
    if (!isSelfLoop) {
      addOutEdge(edge, node);
    }
  }

  @Override

If you'd rather use `emptyDir`, disable PersistentVolumeClai by: ```bash helm install --set persistence.enabled=false minio/minio ``` > *"An emptyDir volume is first created when a Pod is assigned to a Node, and exists as long as that Pod is running on that node. When a Pod is removed from a node for any reason, the data in the emptyDir is deleted forever."* Existing PersistentVolumeClai ---------- If a Persistent Volume Claim already exists, specify it during installation. 1. Create the PersistentVolume...

  }

  @Override
  public @Nullable V value(N node) {
    return adjacentNodeValues.get(node);
  }

  @Override
  public void removePredecessor(N node) {
    @SuppressWarnings("unused")
    V unused = removeSuccessor(node);
  }

  @Override
  public @Nullable V removeSuccessor(N node) {
    return adjacentNodeValues.remove(node);
  }

  @Override

        CollectResult collectResult = system.collectDependencies(session, collectRequest);

        List<DependencyNode> nodes = collectResult.getRoot().getChildren();
        assertEquals(2, nodes.size());
        checkUtSimpleArtifactDependencies(
                nodes.get(0).getDependency(), nodes.get(1).getDependency());
    }

    @Test
    void testResolveArtifact() throws Exception {

  }

  @Override
  public @Nullable V value(N node) {
    return adjacentNodeValues.get(node);
  }

  @Override
  public void removePredecessor(N node) {
    @SuppressWarnings("unused")
    V unused = removeSuccessor(node);
  }

  @Override
  public @Nullable V removeSuccessor(N node) {
    return adjacentNodeValues.remove(node);
  }

  @Override

	memTotalMD     = NewGaugeMD(memTotal, "Total memory on the node")
	memUsedMD      = NewGaugeMD(memUsed, "Used memory on the node")
	memUsedPercMD  = NewGaugeMD(memUsedPerc, "Used memory percentage on the node")
	memFreeMD      = NewGaugeMD(memFree, "Free memory on the node")
	memBuffersMD   = NewGaugeMD(memBuffers, "Buffers memory on the node")
	memCacheMD     = NewGaugeMD(memCache, "Cache memory on the node")

    }

    public static def leftShift(Node parent, Closure cl) {
        DomBuilder builder = new DomBuilder(parent)
        cl.delegate = builder
        cl.call()
        return builder.elements[0]
    }

    public static void leftShift(Node parent, Node node) {
        parent.appendChild(parent.ownerDocument.importNode(node, true))
    }

    public static void addFirst(Node parent, Closure cl) {

sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards...

import gradlebuild.docs.dsl.source.model.TypeMetaData;
import groovy.lang.GroovySystem;
import org.apache.commons.lang3.StringUtils;
import org.w3c.dom.Document;
import org.w3c.dom.Element;
import org.w3c.dom.Node;

import java.util.HashSet;
import java.util.Set;

public class LinkRenderer {
    private final Document document;
    private final DslDocModel model;