}

        if (updateScope) {
            fireEvent(ResolutionListener.UPDATE_SCOPE, listeners, nearest, farthestArtifact);

            // previously we cloned the artifact, but it is more efficient to just update the artifactScope
            // if problems are later discovered that the original object needs its original artifactScope value,
            // cloning may
            // again be appropriate

En este caso, sería mejor obtener **un servidor extra** y ejecutar algunos procesos en él para que todos tengan **suficiente RAM y tiempo de CPU**.

        }
      }
    }

  private fun gzip(data: ByteArray): Buffer {
    val buffer = Buffer()
    GzipSink(buffer).buffer().write(data).close()
    return buffer
  }

  /** Create a sufficiently large header set to overflow INITIAL_MAX_FRAME_SIZE bytes.  */
  private fun largeHeaders(): List<Header> {
    val nameValues = arrayOfNulls<String>(32)
    val chars = CharArray(512)
    var i = 0

  }

  /**
   * Runs the specified action for each distinct element in this multiset, and the number of
   * occurrences of that element. For some {@code Multiset} implementations, this may be more
   * efficient than iterating over the {@link #entrySet()} either explicitly or with {@code
   * entrySet().forEach(action)}.
   *
   * @since 21.0
   */
  default void forEachEntry(ObjIntConsumer<? super E> action) {

  }

  /**
   * Creates an empty multiset containing the given initial elements, sorted according to the
   * elements' natural order.
   *
   * <p>This implementation is highly efficient when {@code elements} is itself a {@link Multiset}.
   *
   * <p>The type specification is {@code <E extends Comparable>}, instead of the more specific

   * Returns the arithmetic mean of {@code x} and {@code y}, rounded towards negative infinity. This
   * method is overflow resilient.
   *
   * @since 14.0
   */
  public static int mean(int x, int y) {
    // Efficient method for computing the arithmetic mean.
    // The alternative (x + y) / 2 fails for large values.
    // The alternative (x + y) >>> 1 fails for negative values.
    return (x & y) + ((x ^ y) >> 1);
  }

  /**

		b = strconv.AppendInt(b, int64(i), 10)
		want = strconv.AppendInt(want, int64(i), 10)
		got.Write(b)
	}
	if !Equal(got.Bytes(), want) {
		t.Fatalf("Bytes() = %q, want %q", &got, want)
	}

	// With a sufficiently sized buffer, there should be no allocations.
	n := testing.AllocsPerRun(100, func() {
		got.Reset()
		for i := 0; i < 1000; i++ {
			b := got.AvailableBuffer()
			b = strconv.AppendInt(b, int64(i), 10)

        }
        return true; // that.size() == this.size()
      }
    }

    /**
     * Returns a lower bound for {@link #size()} based on the sizes of the backing sets.
     *
     * <p>This is more efficient than {@link #size()}, which iterates over the entire {@link
     * SetView}.
     */
    abstract int minSize();

    /**

   * is as close as possible to the center of the range [{@code from}, {@code to}]. Choosing the
   * value closest to the center of the range first is the most efficient strategy because it
   * minimizes the size of the subranges from which the remaining selections must be done.
   */
  private static int chooseNextSelection(

     * name associated with SIDs will be required, the SID_FLAG_RESOLVE_SIDS
     * flag should be used which causes all group member SIDs to be resolved
     * together in a single more efficient operation.
     */
    static Map getLocalGroupsMap(final String authorityServerName, final NtlmPasswordAuthentication auth, final int flags)
            throws IOException {