performProjectActivation(context, request.getProjectActivation());
        performProfileActivation(context, request.getProfileActivation());

        //
        // Builder, concurrency and parallelism
        //
        // We preserve the existing methods for builder selection which is to look for various inputs in the threading

     *
     * @return the maven version, never {@code null}
     */
    @Nonnull
    Version getMavenVersion();

    /**
     * Returns the degree of concurrency for the build.
     *
     * @return  the degree of concurrency
     */
    int getDegreeOfConcurrency();

    /**
     * Returns the start time of the session.
     *

  /** items index for next take, poll or remove */
  int takeIndex;
  /** items index for next put, offer, or add. */
  int putIndex;
  /** Number of items in the queue */
  private int count;

  /*
   * Concurrency control uses the classic two-condition algorithm
   * found in any textbook.
   */

  /** Monitor guarding all access */
  final Monitor monitor;

  /** Guard for waiting takes */

    return new HashSet<>(Maps.capacity(expectedSize));
  }

  /**
   * Creates a thread-safe set backed by a hash map. The set is backed by a {@link
   * ConcurrentHashMap} instance, and thus carries the same concurrency guarantees.
   *
   * <p>Unlike {@code HashSet}, this class does NOT allow {@code null} to be used as an element. The
   * set is serializable.
   *
   * @return a new, empty thread-safe {@code Set}

<p>
The following formal definition of Go's memory model closely follows
the approach presented by Hans-J. Boehm and Sarita V. Adve in
“<a href="https://www.hpl.hp.com/techreports/2008/HPL-2008-56.pdf">Foundations of the C++ Concurrency Memory Model</a>”,
published in PLDI 2008.
The definition of data-race-free programs and the guarantee of sequential consistency
for race-free programs are equivalent to the ones in that work.
</p>

<p>

  public void testSizingDefaults() {
    LoadingCache<?, ?> cache = CacheBuilder.newBuilder().build(identityLoader());
    LocalCache<?, ?> map = CacheTesting.toLocalCache(cache);
    assertThat(map.segments).hasLength(4); // concurrency level
    assertEquals(4, map.segments[0].table.length()); // capacity / conc level
  }

  @GwtIncompatible // CountDownLatch
  static final class DelayingIdentityLoader<T> extends CacheLoader<T, T> {

  // Populated by the system.
  // Read-only.
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#concurrency-control-and-consistency
  // +optional
  optional string resourceVersion = 2;

  // continue may be set if the user set a limit on the number of items returned, and indicates that

  //    definitely observe all earlier writes, but we still have no guarantee that done() would see
  //    the initial write (just stronger guarantees if it does).
  //
  // See: http://cs.oswego.edu/pipermail/concurrency-interest/2015-January/013800.html
  // For a (long) discussion about this specific issue and the general futility of life.
  //
  // For the time being we are OK with the problem discussed above since it requires a caller to

 * is accessed. This is in contrast to {@link java.util.concurrent.Semaphore} which restricts the
 * number of concurrent accesses instead of the rate (note though that concurrency and rate are
 * closely related, e.g. see <a href="http://en.wikipedia.org/wiki/Little%27s_law">Little's
 * Law</a>).
 *
 * <p>A {@code RateLimiter} is defined primarily by the rate at which permits are issued. Absent

 * is accessed. This is in contrast to {@link java.util.concurrent.Semaphore} which restricts the
 * number of concurrent accesses instead of the rate (note though that concurrency and rate are
 * closely related, e.g. see <a href="http://en.wikipedia.org/wiki/Little%27s_law">Little's
 * Law</a>).
 *
 * <p>A {@code RateLimiter} is defined primarily by the rate at which permits are issued. Absent