})
  private int size;

  // "" means no fixed seed
  @Param("1234")
  private SpecialRandom random;

  @Param({"ImmutableSetImpl", "HashSetImpl"})
  private SetImpl impl;

  // the following must be set during setUp
  private CollectionBenchmarkSampleData sampleData;

  @BeforeExperiment
  void setUp() {
    sampleData = new CollectionBenchmarkSampleData(true, random, 0.8, size);
  }

  @Benchmark

@Experimental
public interface ModelTransformer {

    /**
     * Apply a transformation on the file model.
     *
     * @param model the input model
     * @param problems the problem collector to report any issues encountered during transformation
     * @return the transformed model, or the input model if no transformation is needed
     */
    @Nonnull
    Model transform(

   */
  SipHashFunction(int c, int d, long k0, long k1) {
    checkArgument(
        c > 0, "The number of SipRound iterations (c=%s) during Compression must be positive.", c);
    checkArgument(
        d > 0, "The number of SipRound iterations (d=%s) during Finalization must be positive.", d);
    this.c = c;
    this.d = d;
    this.k0 = k0;
    this.k1 = k1;
  }

  @Override
  public int bits() {

 * to Java development tools, such as the Java compiler and Java runtime
 * environment. This interface allows users to define and configure
 * Java-related toolchains that can be utilized during the build process
 * in Maven.</p>
 *
 * <p>Java toolchains are defined in the Maven toolchains.xml file and can
 * be referenced in the project's POM file. This enables developers to

 */
@Deprecated(since = "4.0.0")
public interface ModelCache {

    <T> T computeIfAbsent(String groupId, String artifactId, String version, String tag, Supplier<T> data);

    <T> T computeIfAbsent(Source path, String tag, Supplier<T> data);

   * resizing the table, as well as populating slots with new Cells.
   * There is no need for a blocking lock; when the lock is not
   * available, threads try other slots (or the base).  During these
   * retries, there is increased contention and reduced locality,
   * which is still better than alternatives.
   *
   * Per-thread hash codes are initialized to random values.

variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed
variables as part of those interactions (ex: using a string variable to build a
filesystem path), a maliciously created checkpoint might be able to change the
targets of those operations, which could result in arbitrary
read/write/executions.

### Running a TensorFlow server

  // 70% of original number of DaemonSet pods are available at all times during
  // the update.
  // +optional
  optional k8s.io.apimachinery.pkg.util.intstr.IntOrString maxUnavailable = 1;

  // The maximum number of nodes with an existing available DaemonSet pod that
  // can have an updated DaemonSet pod during during an update.
  // Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%).

The main logic with ADRs is to describe (architectural) decisions made:

* To provide best practices and solutions we (as the *build tool* team) want to promote.
* To avoid asking the same thing multiple times during code review.
* To explain *rejected solutions*, for now, and future development, in case they are proposed again.

ADRs can be written by any team.
Like code, they should be reviewed by any other relevant teams.

     */
    public ParserException(String message) {
        super(message);
    }

    /**
     * Constructs a new ParserException with the specified detail message and cause.
     *
     * @param message the detail message explaining the cause of the exception
     * @param cause the underlying cause of the exception
     */
    public ParserException(String message, Throwable cause) {
        super(message, cause);