name: build

on:
  push:
    branches:
      - master
  pull_request:
    types: [opened, labeled, unlabeled, synchronize]

permissions:
  contents: read

env:
  GRADLE_OPTS: "-Dorg.gradle.jvmargs=-Xmx4g -Dorg.gradle.daemon=false -Dkotlin.incremental=false"

jobs:
  publish:
    runs-on: ubuntu-latest
    if: github.repository == 'square/okhttp' && github.ref == 'refs/heads/master'

    steps:
      - name: Checkout

     * </ul>
     *
     * All the states where thread != currentThread are identical for our purposes, and so even
     * though it's racy, we don't care which of those values we get, so no need to synchronize.
     */
    @LazyInit @Nullable Thread thread;

    /** Only used by the thread associated with this object */
    @Nullable Runnable nextTask;

    /** Only used by the thread associated with this object */

   * serial access, it is critical that <b>all</b> access to the backing table is accomplished
   * through the returned table.
   *
   * <p>It is imperative that the user manually synchronize on the returned table when accessing any
   * of its collection views:
   *
   * {@snippet :
   * Table<R, C, V> table = Tables.synchronizedTable(HashBasedTable.create());
   * ...

    }

    @Override
    public void run() {
        final Thread run_thread = Thread.currentThread();
        Exception ex0 = null;

        try {
            /*
             * We cannot synchronize (run_thread) here or the caller's
             * thread.wait( timeout ) cannot reaquire the lock and
             * return which would render the timeout effectively useless.
             */

 * an {@code ArrayTable} concurrently and one of the threads modifies its value, there is no
 * guarantee that the new value will be fully visible to the other threads. To guarantee that
 * modifications are visible, synchronize access to the table. Unlike other {@code Table}
 * implementations, synchronization is unnecessary between a thread that writes to one cell and a
 * thread that reads from another.
 *

     * </ul>
     *
     * All the states where thread != currentThread are identical for our purposes, and so even
     * though it's racy, we don't care which of those values we get, so no need to synchronize.
     */
    @LazyInit @Nullable Thread thread;

    /** Only used by the thread associated with this object */
    @Nullable Runnable nextTask;

    /** Only used by the thread associated with this object */

 * an {@code ArrayTable} concurrently and one of the threads modifies its value, there is no
 * guarantee that the new value will be fully visible to the other threads. To guarantee that
 * modifications are visible, synchronize access to the table. Unlike other {@code Table}
 * implementations, synchronization is unnecessary between a thread that writes to one cell and a
 * thread that reads from another.
 *

twice.
</p>

<h3 id="atomic">Atomic Values</h3>

<p>
The APIs in the <a href="/pkg/sync/atomic/"><code>sync/atomic</code></a>
package are collectively “atomic operations”
that can be used to synchronize the execution of different goroutines.
If the effect of an atomic operation <i>A</i> is observed by atomic operation <i>B</i>,
then <i>A</i> is synchronized before <i>B</i>.

        CommonServerMessageBlock smb = (CommonServerMessageBlock) request;
        final byte[] buffer = this.getContext().getBufferCache().getBuffer();
        try {
            // synchronize around encode and write so that the ordering for SMB1 signing can be maintained
            synchronized (this.outLock) {
                final int n = smb.encode(buffer, 4);

   * serial access, it is critical that <b>all</b> access to the backing bimap is accomplished
   * through the returned bimap.
   *
   * <p>It is imperative that the user manually synchronize on the returned map when accessing any
   * of its collection views:
   *
   * {@snippet :
   * BiMap<Long, String> map = Maps.synchronizedBiMap(HashBiMap.create());
   * ...