[how-to](https://help.github.com/articles/using-pull-requests/).

TensorFlow team members will be assigned to review your pull requests. Once the
pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After
the change has been submitted internally, your pull request will be merged

     */
    public <T> T get(final Function<FesenClient, ActionFuture<T>> func) {
        int retryCount = 0;
        while (true) {
            try {
                return func.apply(this).actionGet(connTimeout, TimeUnit.MILLISECONDS);
            } catch (final IndexNotFoundException | VersionConflictEngineException e) {
                logger.debug("{} occurs.", e.getClass().getName(), e);

      closeLater(ErrorCode.CANCEL)
      connection.sendDegradedPingLater()
    }

    override fun newTimeoutException(cause: IOException?): IOException =
      SocketTimeoutException("timeout").apply {
        if (cause != null) {
          initCause(cause)
        }
      }

    @Throws(IOException::class)
    fun exitAndThrowIfTimedOut() {
      if (exit()) throw newTimeoutException(null)
    }

   * {@link TypeVariableImpl}, the proxy calls the same method on its instance of {@code
   * TypeVariableImpl}. Otherwise it throws {@link UnsupportedOperationException}; this should only
   * apply to {@code getAnnotatedBounds()}. This does mean that users on Java who obtain an instance
   * of {@code TypeVariable} from {@link TypeResolver#resolveType} will not be able to call {@code

     * The boost value affects how highly the document will rank in search results.
     *
     * @param map the document data map to add the boost value to
     * @param documentBoost the boost value to apply to the document
     */
    protected void addBoostValue(final Map<String, Object> map, final float documentBoost) {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

            if (s.startsWith(prefix)) {
                v = cb.apply(s.substring(prefix.length()));
            }
            return v;
        };
    }

    private static UnaryOperator<String> or(UnaryOperator<String>... callbacks) {
        return s -> {
            for (UnaryOperator<String> cb : callbacks) {
                String r = cb.apply(s);
                if (r != null) {
                    return r;

accurately and efficiently track set membership across `apply` operations. The format used for `ApplySet` is set out in  [KEP 3659](https://github.com/kubernetes/enhancements/issues/3659) as a low-level specification.  Other tools in the ecosystem can also build on this specification for improved interoperability.  To try the ApplySet-based pruning alpha, set `KUBECTL_APPLYSET=true` and use the flags `--prune --applyset=secret-name` with `kubectl apply`. ([#116205](https://github.com/kubernetes/kubernetes/pull/116205),...

   * Builder#build} is called, the builder is likely to perform better than an unsized {@link
   * #builder()} would have.
   *
   * <p>It is not specified if any performance benefits apply if {@code expectedSize} is close to,
   * but not exactly, the number of elements added to the builder.
   *
   * @since 23.1
   */
  public static <E> Builder<E> builderWithExpectedSize(int expectedSize) {

- Added flag `--include-uninitialized` to `kubectl annotate`, `apply`, `edit-last-applied`,
  `delete`, `describe`, `edit`, `get`, `label,` and `set`. `--include-uninitialized=true` makes
  kubectl commands apply to uninitialized objects, which by default are ignored
  if the names of the objects are not provided. `--all` also makes kubectl
  commands apply to uninitialized objects. See the

        boolean diff = false;

        while (!diff) {
          int delta = (1 << i) | (1 << j);
          int key1 = rand.nextInt();
          // apply delta
          int key2 = key1 ^ delta;

          // get hashes
          int hash1 = function.hashInt(key1).asInt();
          int hash2 = function.hashInt(key2).asInt();