if (expected == 0) {
          assertWithMessage(x + ", " + y).that(actual).isEqualTo(expected);
        } else if (expected < 0) {
          assertWithMessage(x + ", " + y + " (expected: " + expected + ", actual" + actual + ")")
              .that(actual < 0)
              .isTrue();
        } else {
          assertWithMessage(x + ", " + y + " (expected: " + expected + ", actual" + actual + ")")

    assertThat(Ints.tryParse("9999999999999999")).isNull();
    assertWithMessage("Max integer + 1")
        .that(Ints.tryParse(Long.toString(((long) GREATEST) + 1)))
        .isNull();
    assertWithMessage("Max integer * 10")
        .that(Ints.tryParse(Long.toString(((long) GREATEST) * 10)))
        .isNull();
    assertWithMessage("Min integer - 1")
        .that(Ints.tryParse(Long.toString(((long) LEAST) - 1)))

      Map<Integer, Double> quantiles = algorithm.multipleQuantiles(indexes, 100, dataset.clone());
      assertWithMessage("Wrong keys from " + algorithm).that(quantiles.keySet()).isEqualTo(indexes);
      for (int i : indexes) {
        assertWithMessage("Mismatch between %s and %s at %s", algorithm, REFERENCE_ALGORITHM, i)
            .that(quantiles.get(i))
            .isWithin(ALLOWED_ERROR)

 * limitations under the License.
 */

package com.google.common.primitives;

import static com.google.common.truth.Truth.assertThat;
import static com.google.common.truth.Truth.assertWithMessage;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.collect.ImmutableSet;

      if (values.hasAnyNonFinite()) {
        assertWithMessage("population covariance of " + values).that(populationCovariance).isNaN();
        assertWithMessage("population covariance by addAll(PairedStats) of " + values)
            .that(populationCovarianceByAddAllPartitionedPairedStats)
            .isNaN();
      } else {
        assertWithMessage("population covariance of " + values)

      if (values.hasAnyNonFinite()) {
        assertWithMessage("population covariance of " + values).that(populationCovariance).isNaN();
        assertWithMessage("population covariance by addAll(PairedStats) of " + values)
            .that(populationCovarianceByAddAllPartitionedPairedStats)
            .isNaN();
      } else {
        assertWithMessage("population covariance of " + values)

    for (int value : TEST_INTS) {
      assertWithMessage(UnsignedInts.toString(value))
          .that(UnsignedInteger.fromIntBits(value).intValue())
          .isEqualTo(value);
    }
  }

  public void testFromIntBitsLongValue() {
    for (int value : TEST_INTS) {
      long expected = value & 0xffffffffL;
      assertWithMessage(UnsignedInts.toString(value))

import static com.google.common.truth.Truth.assertWithMessage;

import java.util.concurrent.Executor;
import java.util.concurrent.Future;
import junit.framework.TestCase;

/** Test for {@link ListenableFuture}. */
public class ListenableFutureTest extends TestCase {
  public void testNoNewApis() throws Exception {
    assertWithMessage(

 * limitations under the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.truth.Truth.assertThat;
import static com.google.common.truth.Truth.assertWithMessage;
import static com.google.common.util.concurrent.MoreExecutors.shutdownAndAwaitTermination;
import static com.google.common.util.concurrent.Uninterruptibles.awaitUninterruptibly;

      if (values.hasAnyNaN()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();
        assertWithMessage("mean by addAll(Stats) of " + values).that(meanByAddAllStats).isNaN();
      } else if (values.hasAnyPositiveInfinity() && values.hasAnyNegativeInfinity()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();
        assertWithMessage("mean by addAll(Stats) of " + values).that(meanByAddAllStats).isNaN();