OkHttp 2 uses the new `Request` class for this.

 *  **Dispatcher** is a new class that manages the queue of asynchronous calls. It
    implements limits on total in-flight calls and in-flight calls per host.

#### Implementation changes

 * Support Android `TrafficStats` socket tagging.
 * Drop authentication headers on redirect.
 * Added support for compressed data frames.

E se o seu servidor remoto ou máquina virtual tiver apenas 3 GB de RAM, tentar carregar mais de 4 GB de RAM causará problemas. 🚨

  }

  @GwtIncompatible // Shorts.fromByteArray, Shorts.toByteArray
  public void testByteArrayRoundTrips() {
    Random r = new Random(5);
    byte[] b = new byte[Shorts.BYTES];

    // total overkill, but, it takes 0.1 sec so why not...
    for (int i = 0; i < 10000; i++) {
      short num = (short) r.nextInt();
      assertThat(Shorts.fromByteArray(Shorts.toByteArray(num))).isEqualTo(num);

  public static <E> ImmutableSet<E> of(E e1, E e2, E e3, E e4, E e5, E e6, E... others) {
    checkArgument(
        others.length <= Integer.MAX_VALUE - 6, "the total number of elements must fit in an int");
    SetBuilderImpl<E> builder = new RegularSetBuilderImpl<>(6 + others.length);
    builder = builder.add(e1).add(e2).add(e3).add(e4).add(e5).add(e6);

    return this;
  }

  Equivalence<Object> getValueEquivalence() {
    return MoreObjects.firstNonNull(valueEquivalence, getValueStrength().defaultEquivalence());
  }

  /**
   * Sets the minimum total size for the internal hash tables. For example, if the initial capacity
   * is {@code 60}, and the concurrency level is {@code 8}, then eight segments are created, each

    /**
     * Get the value for the key 'query.track.total.hits'. <br>
     * The value is, e.g. 10000 <br>
     * comment: Maximum number of total hits to track in queries.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getQueryTrackTotalHits();

    /**
     * Get the value for the key 'query.track.total.hits' as {@link Integer}. <br>

            SMBUtil.writeInt4(0, buffer, 20); // nextCommand = 0 (final)

            testMessage.setBytesRead(10);
            testMessage.setReadSize(200); // Total read size

            int len = testMessage.decode(buffer, 0, true);

            // Should include remaining bytes for final response
            assertTrue(len > Smb2Constants.SMB2_HEADER_LENGTH);
        }

    public static final String FESS_VAR_PATH = "fess.var.path";

    /** Fess log level configuration key. */
    public static final String FESS_LOG_LEVEL = "fess.log.level";

    /** Track total hits configuration key. */
    public static final String TRACK_TOTAL_HITS = "track_total_hits";

    /** System property prefix for Fess configuration. */
    public static final String SYSTEM_PROP_PREFIX = "fess.system.";

// PutBucketQuotaConfigHandler - PUT Bucket quota configuration.
// ----------
// Places a quota configuration on the specified bucket. The quota
// specified in the quota configuration will be applied by default
// to enforce total quota for the specified bucket.
func (a adminAPIHandlers) PutBucketQuotaConfigHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.SetBucketQuotaAdminAction)

 * data using an unpredictable seed should normally be enough to thwart this attack.
 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *