// this is the plugin we're looking for.
        validPluginCounts.put(testPluginArtifactId, 0);

        // these are injected if -DperformRelease=true
        validPluginCounts.put("maven-deploy-plugin", 0);
        validPluginCounts.put("maven-javadoc-plugin", 0);
        validPluginCounts.put("maven-source-plugin", 0);

        Plugin testPlugin = null;

        for (Plugin plugin : plugins) {

## Get Started

### 1. Prerequisites

- Install MinIO - [MinIO Quickstart Guide](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html)
- Install `awscli` - [Installing AWS Command Line Interface](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html)

### 2. Set bucket WORM configuration

   * The target execution time is implemented on a best-effort basis. If another task in this queue
   * is running when that time is reached, that task is allowed to complete before this task is
   * started. Similarly the task will be delayed if the host lacks compute resources.
   *
   * @throws RejectedExecutionException if the queue is shut down and the task is not cancelable.
   */
  fun schedule(
    task: Task,
    delayNanos: Long = 0L,
  ) {

   * executor. The listener will have the corresponding transition method called whenever the
   * service changes state. The listener will not have previous state changes replayed, so it is
   * suggested that listeners are added before the service starts.
   *
   * <p>{@code addListener} guarantees execution ordering across calls to a given listener but not

	brokers := target.client.Brokers()
	if len(brokers) == 0 {
		return false, store.ErrNotConnected
	}
	return true, nil
}

// Save - saves the events to the store which will be replayed when the Kafka connection is active.
func (target *KafkaTarget) Save(eventData event.Event) error {
	if target.store != nil {
		if target.batch != nil {
			return target.batch.Add(eventData)
		}

		return err
	}

	// Delete the event from store.
	return target.store.Del(key)
}

// Save - saves the events to the store if queuestore is configured, which will
// be replayed when the mqtt connection is active.
func (target *MQTTTarget) Save(eventData event.Event) error {
	if target.store != nil {
		_, err := target.store.Put(eventData)
		return err
	}

	exit 1
fi

# Kill MinIO and LDAP to start afresh with missing groups/DN
pkill minio
docker rm -f $(docker ps -aq)
rm -rf /tmp/ldap{1..4}

# Deploy the LDAP config witg missing groups/DN
echo "Copying docs/distributed/samples/bootstrap-partial.ldif => minio-iam-testing/ldap/50-bootstrap.ldif"

            if (timer != null) {
              long overDelayMs = Math.abs(timer.getDelay(MILLISECONDS));
              if (overDelayMs > 10) { // Not all timing drift is worth reporting
                message += " (timeout delayed by " + overDelayMs + " ms after scheduled time)";
              }
            }
            message += ": " + delegate;
          } finally {
            timeoutFuture.setException(new TimeoutFutureException(message));

    }

    /**
     * We use a time based approach to make the bwc versions built deterministic and compatible with the current hash.
     * Most of the time we want to test against latest, but when running delayed exhaustive tests or wanting
     * reproducible builds we want this to be deterministic by using a hash that was the latest when the current
     * commit was made.
     * <p>

    assertThat(startupTimes.get(a)).isAtLeast(150);
    // Service b startup takes at least 353 millis, but starting the timer is delayed by at least
    // 150 milliseconds. so in a perfect world the timing would be 353-150=203ms, but since either
    // of our sleep calls can be arbitrarily delayed we should just assert that there is a time
    // recorded.
    assertThat(startupTimes.get(b)).isNotNull();
  }