### Kubernetes Node system swap support

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import java.util.concurrent.atomic.AtomicInteger;
import junit.framework.TestCase;

/** Unit tests for CacheBuilder. */
@GwtCompatible(emulated = true)
// We are intentionally testing the TimeUnit overloads, too.
@SuppressWarnings("LongTimeUnit_ExpireAfterWrite_Seconds")
public class CacheBuilderTest extends TestCase {

  public void testNewBuilder() {
    CacheLoader<Object, Integer> loader = constantLoader(1);

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    /**
     * Returns an {@code ImmutableRangeMap} containing the associations previously added to this
     * builder.
     *
     * @throws IllegalArgumentException if any two ranges inserted into this builder overlap
     */
    public ImmutableRangeMap<K, V> build() {
      sort(entries, Range.<K>rangeLexOrdering().onKeys());
      ImmutableList.Builder<Range<K>> rangesBuilder = new ImmutableList.Builder<>(entries.size());

The *Secure Channel* splits the object content into chunks of a fixed size of `65536` bytes. The last chunk may be smaller to avoid adding additional overhead and is treated specially to prevent truncation attacks. The nonce value is 96 bits long and generated randomly per object / multi-part part. The *Secure Channel* supports plaintexts up to `65536 * 2^32 = 256 TiB`.

#### Randomness

  // set. If RuntimeClass is configured and selected in the PodSpec, Overhead will be set to the value
  // defined in the corresponding RuntimeClass, otherwise it will remain unset and treated as zero.
  // More info: https://git.k8s.io/enhancements/keps/sig-node/688-pod-overhead/README.md
  // +optional
  map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> overhead = 32;

 * form}), the memory requirement is 8*N bytes for the copy of the dataset plus an overhead which is
 * independent of N (but depends on the quantiles being computed). When calling {@link
 * ScaleAndIndex#computeInPlace computeInPlace} (in {@linkplain ScaleAndIndexes#computeInPlace
 * either form}), only the overhead is required. The number of object allocations is independent of
 * N in both cases.
 *

   * non-static, and is initialized/removed frequently - this causes churn in the Thread specific
   * hashmaps. Using a static ThreadLocal to avoid that overhead would mean that different
   * ExecutionSequencer objects interfere with each other, which would be undesirable, in addition
   * to increasing the memory footprint of every thread that interacted with it. In order to release

    lock.assertHeld()

    // If this connection is not accepting new exchanges, we're done.
    if (calls.size >= allocationLimit || noNewExchanges) return false

    // If the non-host fields of the address don't overlap, we're done.
    if (!this.route.address.equalsNonHost(address)) return false

    // If the host exactly matches, we're done: this connection can carry the address.