* whether there is any data left is by trying to retrieve it. These types of data sources are
 * ordinarily difficult to write iterators for. But using this class, one must implement only the
 * {@link #computeNext} method, and invoke the {@link #endOfData} method when appropriate.
 *
 * <p>Another example is an iterator that skips over null elements in a backing iterator. This could

                availableReceiveRegions.size());
    }

    /**
     * Get a send region from the pool or allocate a new one
     *
     * @param minSize minimum required size
     * @return memory region for sending
     * @throws IOException if allocation fails
     */

            copySpec.rename(s -> destinationFile.getName());

            // TODO: Maybe this could be simplified by not using the copy infrastructure and just
            // calling the FilterReader ourselves.  We're just taking one file and turning it into another.

            // The order here is important! tokens are inserted by the transformer
            Map<String, Object> parameters = new HashMap<>();

 * given the content data that was used to create the source or that was written to the sink.
 *
 * <p>A single {@code SourceSinkFactory} implementation generally corresponds to one specific way of
 * creating a source or sink, such as {@link Files#asByteSource(File)}. Implementations of {@code
 * SourceSinkFactory} for common.io are found in {@link SourceSinkFactories}.
 *

 * most elements' text contents. When possible, avoid manual escaping by using templating
 * systems and high-level APIs that provide autoescaping.
 * One Google-authored templating system available for external use is <a
 * href="https://developers.google.com/closure/templates/">Closure Templates</a>.
 *
 * <p>HTML escaping is particularly tricky: For example, <a

            .createTestSuite());
    return suite;
  }

  @GwtIncompatible // SerializableTester
  public void testViewSerialization() {
    Map<String, Integer> map = ImmutableSortedMap.of("one", 1, "two", 2, "three", 3);
    SerializableTester.reserializeAndAssert(map.entrySet());
    SerializableTester.reserializeAndAssert(map.keySet());
    assertEquals(
        new ArrayList<>(map.values()),

 *   <li>An alternative source of nanosecond ticks can be substituted, for example for testing or
 *       performance reasons, without affecting most of your code.
 * </ul>
 *
 * <p>The one downside of {@code Stopwatch} relative to {@link System#nanoTime()} is that {@code
 * Stopwatch} requires object allocation and additional method calls, which can reduce the accuracy

        subjectPublicKey = BitString(publicKeyBytes, 0),
      )
    return CertificateAdapters.subjectPublicKeyInfo.toDer(subjectPublicKeyInfo)
  }

  /** Returns a byte string that differs from this one by one bit. */
  private fun ByteString.offByOneBit(): ByteString =
    Buffer()
      .write(this, 0, size - 1)
      .writeByte(this[size - 1].toInt() xor 1)
      .readByteString()

 * an {@code ArrayTable} concurrently and one of the threads modifies its value, there is no
 * guarantee that the new value will be fully visible to the other threads. To guarantee that
 * modifications are visible, synchronize access to the table. Unlike other {@code Table}
 * implementations, synchronization is unnecessary between a thread that writes to one cell and a
 * thread that reads from another.
 *

		are supported. "?" symbol is a single character wildcard search, and
		"*" is a multiple character wildcard search.
		<pre>Fess*</pre>
		or
		<pre>Fe?s</pre>
	</dd>
	<dt>Range</dt>
	<dd>
		Range Queries allow one to match documents whose field(s) values are
		between the lower and upper bound specified by the Range Query. Range
		Queries can be inclusive or exclusive of the upper and lower bounds.