Examples with ManyValues com.google.common.math.StatsTesting.ManyValues used on opensource projects

Example 16 with ManyValues

use of com.google.common.math.StatsTesting.ManyValues in project guava by google.

the class PairedStatsAccumulatorTest method testPopulationCovariance.

public void testPopulationCovariance() {
    try {
        emptyAccumulator.populationCovariance();
        fail("Expected IllegalStateException");
    } catch (IllegalStateException expected) {
    }
    try {
        emptyAccumulatorByAddAllEmptyPairedStats.populationCovariance();
        fail("Expected IllegalStateException");
    } catch (IllegalStateException expected) {
    }
    assertThat(oneValueAccumulator.populationCovariance()).isWithin(0.0).of(0.0);
    assertThat(oneValueAccumulatorByAddAllEmptyPairedStats.populationCovariance()).isWithin(0.0).of(0.0);
    assertThat(twoValuesAccumulator.populationCovariance()).isWithin(ALLOWED_ERROR).of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    assertThat(twoValuesAccumulatorByAddAllPartitionedPairedStats.populationCovariance()).isWithin(ALLOWED_ERROR).of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    assertThat(manyValuesAccumulator.populationCovariance()).isWithin(ALLOWED_ERROR).of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    assertThat(manyValuesAccumulatorByAddAllPartitionedPairedStats.populationCovariance()).isWithin(ALLOWED_ERROR).of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
        PairedStatsAccumulator accumulator = createFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES);
        PairedStatsAccumulator accumulatorByAddAllPartitionedPairedStats = createPartitionedFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES, 2);
        double populationCovariance = accumulator.populationCovariance();
        double populationCovarianceByAddAllPartitionedPairedStats = accumulatorByAddAllPartitionedPairedStats.populationCovariance();
        if (values.hasAnyNonFinite()) {
            assertThat(populationCovariance).named("population covariance of " + values).isNaN();
            assertThat(populationCovarianceByAddAllPartitionedPairedStats).named("population covariance by addAll(PairedStats) of " + values).isNaN();
        } else {
            assertThat(populationCovariance).named("population covariance of " + values).isWithin(ALLOWED_ERROR).of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
            assertThat(populationCovarianceByAddAllPartitionedPairedStats).named("population covariance by addAll(PairedStats) of " + values).isWithin(ALLOWED_ERROR).of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
        }
    }
    assertThat(horizontalValuesAccumulator.populationCovariance()).isWithin(ALLOWED_ERROR).of(0.0);
    assertThat(horizontalValuesAccumulatorByAddAllPartitionedPairedStats.populationCovariance()).isWithin(ALLOWED_ERROR).of(0.0);
    assertThat(verticalValuesAccumulator.populationCovariance()).isWithin(ALLOWED_ERROR).of(0.0);
    assertThat(verticalValuesAccumulatorByAddAllPartitionedPairedStats.populationCovariance()).isWithin(ALLOWED_ERROR).of(0.0);
    assertThat(constantValuesAccumulator.populationCovariance()).isWithin(ALLOWED_ERROR).of(0.0);
    assertThat(constantValuesAccumulatorByAddAllPartitionedPairedStats.populationCovariance()).isWithin(ALLOWED_ERROR).of(0.0);
}