BaseDir string

	// Do a full recursive scan.
	Recursive bool

	// ReportNotFound will return errFileNotFound if all disks reports the BaseDir cannot be found.
	ReportNotFound bool

	// FilterPrefix will only return results with given prefix within folder.
	// Should never contain a slash.
	FilterPrefix string

	// ForwardTo will forward to the given object path.
	ForwardTo string

     * not allowed, and will cause {@link #build} to fail.
     */
    @CanIgnoreReturnValue
    @Override
    public Builder<K, V> put(K key, V value) {
      super.put(key, value);
      return this;
    }

    /**
     * Adds the given {@code entry} to the bimap. Duplicate keys or values are not allowed, and will
     * cause {@link #build} to fail.
     *
     * @since 19.0

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
automatically on GitHub.

     * the full DOMAIN\name form of the account will be
     * returned (e.g. MYDOM\alice or MYDOM\Domain Users).
     * If the SID has been resolved but it is is a domain SID,
     * only the domain name will be returned (e.g. MYDOM).
     * If the SID has been resolved but it is a builtin account,
     * only the name component will be returned (e.g. SYSTEM).

* Large payloads.

Only a single connection is ever made between two servers.
Likely this means that this connection will not be able to saturate network bandwidth.
Therefore, using this for large payloads will likely be slower than using a separate connection,
and other connections will be blocked while the large payload is being sent.

## Handlers & Routes

Handlers have a predefined Handler ID.

SDK definitions are global, so you can add the JDK from any project, or after
project import. Importing with a missing JDK will still work, IntelliJ will
simply report a problem and will refuse to build until resolved.

You can import the Elasticsearch project into IntelliJ IDEA via:

 - Select **File > Open**
 - In the subsequent dialog navigate to the root `build.gradle` file
 - In the subsequent dialog select **Open as Project**

   * Drains the queue as {@linkplain #drain(BlockingQueue, Collection, int, Duration)}, but with a
   * different behavior in case it is interrupted while waiting. In that case, the operation will
   * continue as usual, and in the end the thread's interruption status will be set (no {@code
   * InterruptedException} is thrown).
   *
   * @param q the blocking queue to be drained
   * @param buffer where to add the transferred elements

  public void testRoundToDouble_maxPreciselyRepresentablePlusOne() {
    double twoToThe53 = Math.pow(2, 53);
    // the representable doubles are 2^53 and 2^53 + 2.
    // 2^53+1 is halfway between, so HALF_UP will go up and HALF_DOWN will go down.
    new RoundToDoubleTester(BigDecimal.valueOf((1L << 53) + 1))
        .setExpectation(twoToThe53, DOWN, FLOOR, HALF_DOWN, HALF_EVEN)
        .setExpectation(nextUp(twoToThe53), CEILING, UP, HALF_UP)

   *
   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number
   * of values that will be added, if that knowledge is readily available. It is better to guess a
   * value slightly too high than slightly too low. If the value is not exact, the {@link
   * ImmutableDoubleArray} that is built will very likely occupy more memory than strictly
   * necessary; to trim memory usage, build using {@code builder.build().trimmed()}.

   *
   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number
   * of values that will be added, if that knowledge is readily available. It is better to guess a
   * value slightly too high than slightly too low. If the value is not exact, the {@link
   * ImmutableIntArray} that is built will very likely occupy more memory than strictly necessary;
   * to trim memory usage, build using {@code builder.build().trimmed()}.