}

  @Param CopyStrategy strategy;
  @Param TargetSupplier target;

  @Param({"10", "1024", "1048576"})
  int size;

  String data;

  @BeforeExperiment
  public void setUp() {
    // precalculate some random strings of ascii characters.
    StringBuilder sb = new StringBuilder();
    Random random = new Random(0xdeadbeef); // for unpredictable but reproducible behavior
    sb.ensureCapacity(size);

            return; /* CRITICAL */
        }
        this.digest.update(input, offset, len);
        this.updates++;
    }

    /**
     * Finalize and return the calculated message digest
     *
     * @return calculated digest
     */
    public byte[] digest() {
        byte[] b = this.digest.digest();

        if (log.isTraceEnabled()) {
            log.trace("digest: ");

      return LinearTransformation.vertical(xStats.mean());
    }
  }

  /**
   * {@inheritDoc}
   *
   * <p><b>Note:</b> This tests exact equality of the calculated statistics, including the floating
   * point values. Two instances are guaranteed to be considered equal if one is copied from the
   * other using {@code second = new PairedStatsAccumulator().addAll(first).snapshot()}, if both

     * Supports Integer, Long, Float, Double, and String representations of numbers.
     *
     * @param map the document data as a map of field names to values
     * @return the calculated boost value as a float, or 0.0f if evaluation fails
     */
    public float getValue(final Map<String, Object> map) {
        if (map == null || map.isEmpty()) {
            return 0.0f;
        }

    /**
     * Specifies a single quantile index to be calculated, i.e. the k in the kth q-quantile.
     *
     * @param index the quantile index, which must be in the inclusive range [0, q] for q-quantiles
     */
    public ScaleAndIndex index(int index) {
      return new ScaleAndIndex(scale, index);
    }

    /**
     * Specifies multiple quantile indexes to be calculated, each index being the k in the kth
     * q-quantile.

* Fixes a possible deadlock preventing quota from being recalculated ([#58107](https://github.com/kubernetes/kubernetes/pull/58107), [@ironcladlou](https://github.com/ironcladlou))

   * Returns the current sum. The returned value is NOT an atomic snapshot; invocation in
   * the absence of concurrent updates returns an accurate result, but concurrent updates that occur
   * while the sum is being calculated might not be incorporated.
   *
   * @return the sum
   */
  @Override
  public long sum() {
    long sum = base;
    Cell[] as = cells;
    if (as != null) {
      int n = as.length;

     */
    public void setMic(final byte[] mic) {
        this.mic = mic;
    }

    /**
     * Checks whether a message integrity code (MIC) should be calculated for this message.
     *
     * @return whether a MIC should be calculated
     */
    public boolean isMICRequired() {
        return this.micRequired;
    }

    @Override
    public byte[] toByteArray() throws IOException {

        // Using test vector from RFC 2104 adapted for HMACT64
        byte[] key = new byte[16];
        Arrays.fill(key, (byte) 0x0b);
        byte[] data = "Hi There".getBytes();

        // Expected result calculated manually for HMACT64 with this key and data
        HMACT64 hmac = new HMACT64(key);
        hmac.engineUpdate(data, 0, data.length);
        byte[] result = hmac.engineDigest();

 * <p>
 * Unlike a cache, this session data is not subject to purging. For this same reason, session data should also not be
 * abused as a cache (i.e. for storing values that can be re-calculated) to avoid memory exhaustion.
 * <p>
 * <strong>Note:</strong> Actual implementations must be thread-safe.
 *
 * @see Session#getData()
 * @since 4.0.0
 */
@Experimental
@ThreadSafe
@Provider