Preconditions.checkElementIndex(index, length());
    return array[start + index];
  }

  /**
   * Returns the smallest index for which {@link #get} returns {@code target}, or {@code -1} if no
   * such index exists. Equivalent to {@code asList().indexOf(target)}.
   */
  public int indexOf(int target) {
    for (int i = start; i < end; i++) {
      if (array[i] == target) {
        return i - start;
      }

- limit the wait duration for each request in the queue

These values are enabled using server's configuration or environment variables.

## Examples

### Configuring connection limit

import com.google.gwt.junit.tools.GWTTestSuite;
import java.io.IOException;
import junit.framework.Test;
import junit.framework.TestCase;

/**
 * Runs all _gwt tests. Grouping them into a suite is much faster than running each as a one-test
 * "suite," as the per-suite setup is expensive.
 */
public class GwtTestSuite extends TestCase {
  public static Test suite() throws IOException {
    GWTTestSuite suite = new GWTTestSuite();

### EventListener.Factory

In the preceding example we used a field, `callStartNanos`, to track the elapsed time of each event. This is handy, but it won’t work if multiple calls are executing concurrently. To accommodate this, use a `Factory` to create a new `EventListener` instance for each `Call`. This allows each listener to keep call-specific state.

   * structures.
   *
   * We make such subtle calls in [okhttp3.internal.ws.MessageInflater] because we try to read a
   * compressed stream that is terminated in a web socket frame even though the DEFLATE stream is
   * not terminated.
   *
   * Use this method to create a degenerate Okio Buffer where each byte is in a separate segment of
   * the internal list.
   */
  @JvmStatic

storage class by setting `x-amz-storage-class=STANDARD/REDUCED_REDUNDANCY` for each object uploads so effectively utilizing the capacity of the cluster. Additionally these can also be enforced using IAM policies to make sure the client uploads with correct HTTP headers.

- MinIO also supports expansion of existing clusters in server pools. Each pool is a self contained entity with same SLA's (read/write quorum) for each object as original cluster. By using the existing namespace for lookup validation...

    String getArtifactId();

    /**
     * {@return the version of the artifact}.
     * Contrarily to {@link ArtifactCoordinates},
     * each {@code Artifact} is associated to a specific version instead of a range of versions.
     * If the {@linkplain #getBaseVersion() base version} contains a meta-version such as {@code SNAPSHOT},
     * those keywords are replaced by, for example, the actual timestamp.
     *

needed.  When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a pool. There are 2 server pools in this example. New objects are placed in server pools in proportion to the amount of free space in each pool. Within each pool, the location of the erasure-set of drives is determined based on a deterministic hashing algorithm.

> **NOTE:** **Each pool you add must have the same erasure coding parity configuration as the original...

   *
   * <p>If either or both endpoints are not already present in this graph, this method will silently
   * {@link #addNode(Object) add} each missing endpoint to the graph.
   *
   * @return the value previously associated with the edge connecting {@code nodeU} to {@code
   *     nodeV}, or null if there was no such edge.
   * @throws IllegalArgumentException if the introduction of the edge would violate {@link
   *     #allowsSelfLoops()}

 *
 * <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.
 *