var finished: Boolean = false,
  ) : Sink {
    /**
     * Buffer of outgoing data. This batches writes of small writes into this sink as larges frames
     * written to the outgoing connection. Batching saves the (small) framing overhead.
     */
    private val sendBuffer = Buffer()

    /** Trailers to send at the end of the stream. */
    var trailers: Headers? = null

    var closed: Boolean = false

- Supporting Cross RG resources (disks, Azure File and node [Experimental]

Besides the above new features, support for Azure Virtual Machine Scale Sets (VMSS) and Cluster-Autoscaler is now stable and considered GA:

- Azure virtual machine scale sets (VMSS) allow you to create and manage identical load balanced VMs that automatically increase or decrease based on demand or a set schedule.

 *
 * <p>Keep a strong reference to this object until all of the associated referents have been
 * finalized. If this object is garbage collected earlier, the backing thread will not invoke {@code
 * finalizeReferent()} on the remaining references.
 *
 * <p>As an example of how this is used, imagine you have a class {@code MyServer} that creates a

      LinkedHashMultimap<String, Integer>.ValueSet valueSet =
          (LinkedHashMultimap.ValueSet) multimap.backingMap().get("a");
      assertEquals(z, valueSet.size());
      assertFalse(
          Hashing.needsResizing(
              valueSet.size(),
              valueSet.hashTable.length,
              LinkedHashMultimap.VALUE_SET_LOAD_FACTOR));
    }
  }

        for (int i = 0; i < 1000; i++) {
            urlFilter.addInclude("https://site" + i + ".com/.*");
            urlFilter.addExclude(".*\\.exclude" + i + "$");
        }

        // Test matching performance
        assertTrue(urlFilter.match("https://site500.com/page"));
        assertFalse(urlFilter.match("https://site500.com/file.exclude500"));
        assertFalse(urlFilter.match("https://unknown.com/page"));

        assertNotNull(queryList);
        assertEquals(1, queryList.size());
        assertEquals(termQuery, queryList.get(0));

        // Test with non-matching field
        String[] wrongFields = { "title" };
        List<TermQuery> emptyList = SuggestUtil.getTermQueryList(termQuery, wrongFields);
        assertNotNull(emptyList);
        assertEquals(0, emptyList.size());

    assertThat(request.tag(String::class.java)).isSameAs(stringTag)
    assertThat(request.tag(Long::class.javaObjectType)).isSameAs(longTag)
  }

  /** Confirm that we don't accidentally share the backing map between objects. */
  @Test
  fun tagsAreImmutable() {
    val builder =
      Request
        .Builder()
        .url("https://square.com")
    val requestA = builder.tag(String::class.java, "a").build()

  @Override
  public int bits() {
    return 32;
  }

  @Override
  public Hasher newHasher() {
    return new Crc32cHasher();
  }

  @Override
  public String toString() {
    return "Hashing.crc32c()";
  }

  static final class Crc32cHasher extends AbstractStreamingHasher {

    /*
     * The striding algorithm works roughly as follows: it is universally the case that

   *
   * As of 2010/06/11, this method is identical to the (package private) hash method in OpenJDK 7's
   * java.util.HashMap class.
   */
  // Copied from java/com/google/common/collect/Hashing.java
  private static int smear(int hashCode) {
    hashCode ^= (hashCode >>> 20) ^ (hashCode >>> 12);
    return hashCode ^ (hashCode >>> 7) ^ (hashCode >>> 4);
  }

    protected int connectionCheckInterval = 5; // sec

    /** Idle connection timeout in milliseconds */
    protected long idleConnectionTimeout = 60 * 1000L; // 1min

    /** Pattern for matching HTTP redirect status codes */
    protected Pattern redirectHttpStatusPattern = Pattern.compile("[3][0-9][0-9]");

    /** Whether to use robots.txt disallow rules */
    protected boolean useRobotsTxtDisallows = true;