diff options
Diffstat (limited to 'android/guava-tests/test/com/google/common/math/PairedStatsTest.java')
| -rw-r--r-- | android/guava-tests/test/com/google/common/math/PairedStatsTest.java | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/android/guava-tests/test/com/google/common/math/PairedStatsTest.java b/android/guava-tests/test/com/google/common/math/PairedStatsTest.java index f427ae6ff..7dd9e94d6 100644 --- a/android/guava-tests/test/com/google/common/math/PairedStatsTest.java +++ b/android/guava-tests/test/com/google/common/math/PairedStatsTest.java @@ -47,6 +47,7 @@ import static com.google.common.math.StatsTesting.assertStatsApproxEqual; import static com.google.common.math.StatsTesting.assertVerticalLinearTransformation; import static com.google.common.math.StatsTesting.createPairedStatsOf; import static com.google.common.truth.Truth.assertThat; +import static com.google.common.truth.Truth.assertWithMessage; import com.google.common.collect.ImmutableList; import com.google.common.math.StatsTesting.ManyValues; @@ -104,10 +105,10 @@ public class PairedStatsTest extends TestCase { PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES); double populationCovariance = stats.populationCovariance(); if (values.hasAnyNonFinite()) { - assertThat(populationCovariance).named("population covariance of " + values).isNaN(); + assertWithMessage("population covariance of " + values).that(populationCovariance).isNaN(); } else { - assertThat(populationCovariance) - .named("population covariance of " + values) + assertWithMessage("population covariance of " + values) + .that(populationCovariance) .isWithin(ALLOWED_ERROR) .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT); } @@ -169,12 +170,12 @@ public class PairedStatsTest extends TestCase { PairedStats stats = createPairedStatsOf(MANY_VALUES, values.asIterable()); double pearsonsCorrelationCoefficient = stats.pearsonsCorrelationCoefficient(); if (values.hasAnyNonFinite()) { - assertThat(pearsonsCorrelationCoefficient) - .named("Pearson's correlation coefficient of " + values) + assertWithMessage("Pearson's correlation coefficient of " + values) + .that(pearsonsCorrelationCoefficient) .isNaN(); } else { - assertThat(pearsonsCorrelationCoefficient) - .named("Pearson's correlation coefficient of " + values) + assertWithMessage("Pearson's correlation coefficient of " + values) + .that(pearsonsCorrelationCoefficient) .isWithin(ALLOWED_ERROR) .of( stats.populationCovariance() |