} finally {
          client.dispatcher.finished(this)
        }
      }
    }
  }

  internal class CallReference(
    referent: RealCall,
    /**
     * Captures the stack trace at the time the Call is executed or enqueued. This is helpful for
     * identifying the origin of connection leaks.
     */
    val callStackTrace: Any?,
  ) : WeakReference<RealCall>(referent)

 * remove) are supported. Null keys and values are supported.
 *
 * <p>{@code containsKey(k)}, {@code put(k, v)} and {@code remove(k)} are all (expected and
 * amortized) constant time operations. Expected in the hashtable sense (depends on the hash
 * function doing a good job of distributing the elements to the buckets to a distribution not far

                <div class="collapse" id="merge-release-${changeId}">
                  <div class="well">
                      Merging `release` back to `master` is a regular operation you’re free to do, at any time. Usually, you will see conflicts in `notes.md` or `accepted-public-api-changes.json`.
                      On `master` branch, these two files are usually reset (cleaned up), unless you have special reasons not to do so.

	rc, err := kube.DefaultRestConfig(kubeconfig, configContext, func(config *rest.Config) {
		// We are running a one-off command locally, so we don't need to worry too much about rate limiting
		// Bumping this up greatly decreases install time
		config.QPS = 50
		config.Burst = 100
		config.Impersonate = impersonateConfig
	})
	if err != nil {
		return nil, err
	}

### 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.

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.es.config.bsentity.dbmeta;

import java.time.LocalDateTime;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.es.config.exentity.LabelType;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;

import assertk.assertions.isFalse
import assertk.assertions.isNotNull
import assertk.assertions.isTrue
import java.io.IOException
import java.io.InterruptedIOException
import java.net.HttpURLConnection
import java.time.Duration
import java.util.concurrent.CountDownLatch
import java.util.concurrent.TimeUnit
import java.util.concurrent.atomic.AtomicReference
import kotlin.test.assertFailsWith
import mockwebserver3.MockResponse

   */
  @AndroidIncompatible // slow. TODO(cpovirk): Maybe just reduce iterations under Android.
  public void testExhaustive() throws Exception {
    Random random = new Random(0); // will iteratively make more debuggable, each time it breaks
    for (int totalInsertions = 0; totalInsertions < 200; totalInsertions++) {

      List<Sink> sinks = Lists.newArrayList();
      for (int chunkSize = 4; chunkSize <= 32; chunkSize++) {

   * URLs</a>. (<a href="https://url.spec.whatwg.org/#path-state">If the escaper were to leave these
   * characters unescaped, they would be escaped by the consumer at parse time, anyway.</a>)
   * Additionally, the escaper escapes the slash character ("/"). While slashes are acceptable in
   * URL paths, they are considered by the specification to be separators between "path segments."

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints.