If a synchronizing read-like memory operation <i>r</i>
observes a synchronizing write-like memory operation <i>w</i>
(that is, if <i>W</i>(<i>r</i>) = <i>w</i>),
then <i>w</i> is synchronized before <i>r</i>.
Informally, the synchronized before relation is a subset of the implied total order
mentioned in the previous paragraph,
limited to the information that <i>W</i> directly observes.
</p>

<p>

        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *

            }

            // Pre-store the checksums as any future puts will overwrite them
            for (String extension : checksums.keySet()) {
                ChecksumObserver observer = checksums.get(extension);
                sums.put(extension, observer.getActualChecksum());
            }

            // We do this in here so we can checksum the artifact metadata too, otherwise it could be metadata itself

        .Builder()
        .url(webServer.url("/"))
        .build()
    val response = client.newCall(regularRequest).execute()
    response.close()
    assertThat(webServer.takeRequest().exchangeIndex).isEqualTo(0)
    assertThat(webServer.takeRequest().exchangeIndex).isEqualTo(1)
  }

  /** https://github.com/square/okhttp/issues/5705  */
  @Test
  fun closeWithoutSuccessfulConnect() {
    val request =

  /** Ciphers in order we observed directly on the socket. */
  private lateinit var handshakeEnabledCipherSuites: List<String>

  /** Ciphers in order we observed on sslSocketFactory defaults. */
  private lateinit var defaultEnabledCipherSuites: List<String>

  /** Ciphers in order we observed on sslSocketFactory supported. */

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

import org.apache.maven.wagon.Wagon;
import org.apache.maven.wagon.events.TransferEvent;
import org.apache.maven.wagon.events.TransferListener;
import org.apache.maven.wagon.observers.AbstractTransferListener;
import org.apache.maven.wagon.observers.Debug;
import org.codehaus.plexus.testing.PlexusTest;
import org.codehaus.plexus.util.FileUtils;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;

 * **Security** of the connection. This includes verification of the remote webserver with certificates and the privacy of data exchanged with strong ciphers.

  // * Future completion can be observed if the waitersField field contains a TOMBSTONE

  // Timed Get
  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the

   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,
   * may not occur at all. However, despite these limitations,
   * observed contention rates are typically low in these cases.
   *
   * It is possible for a Cell to become unused when threads that
   * once hashed to it terminate, as well as in the case where