.removalListener(removalListener)
            .build(loader);

    // caches 2
    assertThat(cache.getUnchecked(2)).isEqualTo(2);
    assertThat(cache.asMap().keySet()).containsExactly(2);

    CacheTesting.processPendingNotifications(cache);
    assertThat(removalListener.getCount()).isEqualTo(0);

    // caches 3, evicts 2
    assertThat(cache.getUnchecked(3)).isEqualTo(3);

    assertEvalsToFalse(Predicates.and(FALSE, NEVER_REACHED));
  }

  public void testAnd_equalityBinary() {
    new EqualsTester()
        .addEqualityGroup(Predicates.and(TRUE, NEVER_REACHED), Predicates.and(TRUE, NEVER_REACHED))
        .addEqualityGroup(Predicates.and(NEVER_REACHED, TRUE))
        .addEqualityGroup(Predicates.and(TRUE))
        .addEqualityGroup(Predicates.or(TRUE, NEVER_REACHED))
        .testEquals();
  }

   * Object#toString}.
   *
   * <p>If the target method call finishes before the limit is reached, the return value or
   * exception is propagated to the caller exactly as-is. If, on the other hand, the time limit is
   * reached, the proxy will attempt to abort the call to the target, and will throw an {@link
   * UncheckedTimeoutException} to the caller.
   *

        .withKeyStrengths(ImmutableSet.of(STRONG, Strength.WEAK))
        .withValueStrengths(ImmutableSet.of(STRONG, Strength.WEAK, Strength.SOFT));
  }

  private Iterable<LoadingCache<Key, String>> caches() {
    CacheBuilderFactory factory = factoryWithAllKeyStrengths();
    return Iterables.transform(
        factory.buildAllPermutations(),
        new Function<CacheBuilder<Object, Object>, LoadingCache<Key, String>>() {

   * {@code key}, simply waits for that thread to finish and returns its loaded value. Note that
   * multiple threads can concurrently load values for distinct keys.
   *
   * <p>Caches loaded by a {@link CacheLoader} will call {@link CacheLoader#load} to load new values
   * into the cache. Newly loaded values are added to the cache using {@code

    public String toString() {
      return "Suppliers.compose(" + function + ", " + supplier + ")";
    }

    private static final long serialVersionUID = 0;
  }

  /**
   * Returns a supplier which caches the instance retrieved during the first call to {@code get()}
   * and returns that value on subsequent calls to {@code get()}. See: <a
   * href="http://en.wikipedia.org/wiki/Memoization">memoization</a>
   *

import com.google.common.cache.TestingRemovalListeners.QueuingRemovalListener;
import com.google.common.util.concurrent.UncheckedExecutionException;
import junit.framework.TestCase;

/**
 * {@link LoadingCache} tests for caches with a maximum size of zero.
 *
 * @author mike nonemacher
 */
public class NullCacheTest extends TestCase {
  QueuingRemovalListener<Object, Object> listener;

  @Override
  protected void setUp() {

   *     which case the input string is always returned.
   * @param padChar the character to insert at the beginning of the result until the minimum length
   *     is reached
   * @return the padded string
   */
  public static String padStart(String string, int minLength, char padChar) {
    checkNotNull(string); // eager for GWT.
    if (string.length() >= minLength) {
      return string;

  /**
   * Returns a new comparator which sorts iterables by comparing corresponding elements pairwise
   * until a nonzero result is found; imposes "dictionary order." If the end of one iterable is
   * reached, but not the other, the shorter iterable is considered to be less than the longer one.
   * For example, a lexicographical natural ordering over integers considers {@code [] < [1] < [1,
   * 1] < [1, 2] < [2]}.
   *

   * second" (commonly referred to as <i>QPS</i>, queries per second), and a <i>warmup period</i>,
   * during which the {@code RateLimiter} smoothly ramps up its rate, until it reaches its maximum
   * rate at the end of the period (as long as there are enough requests to saturate it). Similarly,
   * if the {@code RateLimiter} is left <i>unused</i> for a duration of {@code warmupPeriod}, it