* <p>{@code ValueGraph}, as a subtype of {@code Graph}, explicitly does not support parallel edges,
 * and forbids implementations or extensions with parallel edges. If you need parallel edges, use
 * {@link Network}. (You can use a positive {@code Integer} edge value as a loose representation of
 * edge multiplicity, but the {@code *degree()} and mutation methods will not reflect your
 * interpretation of the edge value as its multiplicity.)
 *

        @Test
        @DisplayName("Should validate tree ID correctly")
        void testIsValidTid() {
            // Test valid TID
            response.setTreeId(100);
            assertTrue(response.isValidTid(), "Positive tree ID should be valid");

            // Test invalid TID
            response.setTreeId(-1);
            assertFalse(response.isValidTid(), "Tree ID -1 should be invalid");
        }

        @Test

                if (coreMultiplier <= 0.0f) {
                    throw new IllegalArgumentException("Invalid threads core multiplier value: '" + threadConfiguration
                            + "'. Value must be positive.");
                }

                int procs = Runtime.getRuntime().availableProcessors();
                int threads = (int) (coreMultiplier * procs);
                return threads == 0 ? 1 : threads;

 * "https://github.com/google/guava/wiki/NewCollectionTypesExplained#multimap">{@code Multimap}</a>.
 *
 * @author Mike Bostock
 * @since 2.0
 */
@GwtCompatible
@SuppressWarnings("WrongCommentType") // false positive
public class LinkedListMultimap<K extends @Nullable Object, V extends @Nullable Object>
    extends AbstractMultimap<K, V> implements ListMultimap<K, V>, Serializable {
  /*

   */
  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;

  /**

        // Promote the int value (rather than using intValue() on the expected value) to avoid
        // any risk of truncation which could lead to a false positive.
        assertEquals(BigIntegerMath.sqrt(valueOf(x), mode), valueOf(IntMath.sqrt(x, mode)));
      }
    }
  }

  /* Relies on the correctness of sqrt(int, FLOOR). */
  @GwtIncompatible // sqrt

    /** Capacity (power of two) minus one, for fast mod evaluation */
    final int mask;

    PowerOfTwoStriped(int stripes) {
      Preconditions.checkArgument(stripes > 0, "Stripes must be positive");
      this.mask = stripes > Ints.MAX_POWER_OF_TWO ? ALL_SET : ceilToPowerOfTwo(stripes) - 1;
    }

    @Override
    final int indexFor(Object key) {
      int hash = smear(key.hashCode());

 * happen, as it is possible that higher level application logic prevents the cyclic lock
 * acquisition from occurring. One example of a false positive is:
 *
 * <pre>
 * LockA -&gt; LockB -&gt; LockC
 * LockA -&gt; LockC -&gt; LockB
 * </pre>
 *
 * <p><strong>ReadWriteLocks</strong>
 *

    return new CompactHashMap<>(expectedSize);
  }

  private static final Object NOT_FOUND = new Object();

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

  /**

  @Test fun `boolean`() {
    val bytes = "0101FF".decodeHex()
    assertThat(Adapters.BOOLEAN.fromDer(bytes)).isEqualTo(true)
    assertThat(Adapters.BOOLEAN.toDer(true)).isEqualTo(bytes)
  }

  @Test fun `positive integer`() {
    val bytes = "020132".decodeHex()
    assertThat(Adapters.INTEGER_AS_LONG.toDer(50L)).isEqualTo(bytes)
    assertThat(Adapters.INTEGER_AS_LONG.fromDer(bytes)).isEqualTo(50L)
  }