* equivalent {@link Boolean#compare} method instead.
   *
   * @param a the first {@code boolean} to compare
   * @param b the second {@code boolean} to compare
   * @return a positive number if only {@code a} is {@code true}, a negative number if only {@code
   *     b} is true, or zero if {@code a == b}
   */
  @InlineMe(replacement = "Boolean.compare(a, b)")

    CacheTesting.checkValidState(cache);
  }

  /**
   * With an unlimited-size cache with maxWeight of 0, entries weighing 0 should still be cached.
   * Entries with positive weight should not be cached (nor dump existing cache).
   */
  public void testEviction_maxWeight_zero() {
    CountingRemovalListener<Integer, Integer> removalListener = countingRemovalListener();

            // When: Getting max transmission values
            int maxRecv = handle.getMaxRecv();
            int maxXmit = handle.getMaxXmit();

            // Then: Should return positive values
            assertTrue(maxRecv > 0);
            assertTrue(maxXmit > 0);
        }
    }

        ndrBuffer.reset();
        ndrBuffer.enc_ndr_referent(obj1, 2);
        assertEquals(4, ndrBuffer.getIndex());
        int referent1 = Encdec.dec_uint32le(buffer, 0);
        assertTrue(referent1 > 0); // Should be a positive referent ID

        ndrBuffer.reset();
        ndrBuffer.enc_ndr_referent(obj1, 2); // Same object, should get same referent
        assertEquals(4, ndrBuffer.getIndex());

                        allocations.incrementAndGet();

                        assertNotNull(buffer, "Buffer should not be null");
                        assertTrue(buffer.length > 0, "Buffer should have positive length");

                        // Test release performance
                        long releaseStart = System.nanoTime();
                        BufferCache.releaseBuffer(buffer);

   */
  public static <E extends @Nullable Object> CompactHashSet<E> createWithExpectedSize(
      int expectedSize) {
    return new CompactHashSet<>(expectedSize);
  }

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**

 * atomic unless otherwise noted.
 *
 * <p>Instances of this class are serializable if the keys are serializable.
 *
 * <p><b>Note:</b> If your values are always positive and less than 2^31, you may wish to use a
 * {@link com.google.common.collect.Multiset} such as {@link
 * com.google.common.collect.ConcurrentHashMultiset} instead.
 *

		//	-a-1 == ^a
		//
		// If the number is negative, we use an inversion mask to invert the
		// data bytes and treat the value as an unsigned number.
		var inv byte // 0x00 if positive or zero, 0xff if negative
		if b[0]&0x40 != 0 {
			inv = 0xff
		}

		var x uint64
		for i, c := range b {
			c ^= inv // Inverts c only if inv is 0xff, otherwise does nothing
			if i == 0 {

    public void testServerTimeField() {
        // Test with zero
        serverData.serverTime = 0L;
        assertEquals(0L, serverData.serverTime);

        // Test with positive value
        serverData.serverTime = 132514080000000000L; // Windows file time
        assertEquals(132514080000000000L, serverData.serverTime);

        // Test with negative value
        serverData.serverTime = -1L;

    BigDecimal qDec = new BigDecimal(q);
    return pDec.divide(qDec, 0, mode).toBigIntegerExact();
  }

  /**
   * Returns {@code n!}, that is, the product of the first {@code n} positive integers, or {@code 1}
   * if {@code n == 0}.
   *
   * <p><b>Warning:</b> the result takes <i>O(n log n)</i> space, so use cautiously.
   *