}

  public void testLog2Zero() {
    assertEquals(Double.NEGATIVE_INFINITY, DoubleMath.log2(0.0));
    assertEquals(Double.NEGATIVE_INFINITY, DoubleMath.log2(-0.0));
  }

  public void testLog2NaNInfinity() {
    assertEquals(Double.POSITIVE_INFINITY, DoubleMath.log2(Double.POSITIVE_INFINITY));
    assertTrue(Double.isNaN(DoubleMath.log2(Double.NEGATIVE_INFINITY)));
    assertTrue(Double.isNaN(DoubleMath.log2(Double.NaN)));
  }

import static com.google.common.truth.Truth.assertThat;
import static com.google.common.truth.Truth.assertWithMessage;
import static java.lang.Double.NEGATIVE_INFINITY;
import static java.lang.Double.NaN;
import static java.lang.Double.POSITIVE_INFINITY;
import static java.lang.Math.sqrt;
import static java.util.Arrays.stream;
import static org.junit.Assert.assertThrows;

import com.google.common.collect.ImmutableList;

      for (double first : ImmutableList.of(1.1, POSITIVE_INFINITY, NEGATIVE_INFINITY, NaN)) {
        values[0] = first;
        values[1] = -44.44;
        for (double third : ImmutableList.of(33.33, POSITIVE_INFINITY, NEGATIVE_INFINITY, NaN)) {
          values[2] = third;
          values[3] = 555.555;
          for (double fifth : ImmutableList.of(-2.2, POSITIVE_INFINITY, NEGATIVE_INFINITY, NaN)) {
            values[4] = fifth;

    new RoundToDoubleTester(maxDoubleAsBD)
        .setExpectation(Double.MAX_VALUE, DOWN, FLOOR, HALF_EVEN, HALF_UP, HALF_DOWN)
        .setExpectation(Double.POSITIVE_INFINITY, UP, CEILING)
        .roundUnnecessaryShouldThrow()
        .test();
  }

  public void testRoundToDouble_wayTooBig() {
    BigDecimal bi = BigDecimal.valueOf(2).pow(2 * Double.MAX_EXPONENT);

            2, POSITIVE_INFINITY,
            8, POSITIVE_INFINITY,
            9, POSITIVE_INFINITY, // interpolating between two POSITIVE_INFINITY values
            10, POSITIVE_INFINITY);
  }

  public void testScale_indexes_varargs_compute_doubleCollection_nan() {
    assertThat(Quantiles.scale(10).indexes(0, 1, 2, 8, 9, 10).compute(ONE_TO_FIVE_AND_NAN))

            2, POSITIVE_INFINITY,
            8, POSITIVE_INFINITY,
            9, POSITIVE_INFINITY, // interpolating between two POSITIVE_INFINITY values
            10, POSITIVE_INFINITY);
  }

  public void testScale_indexes_varargs_compute_doubleCollection_nan() {
    assertThat(Quantiles.scale(10).indexes(0, 1, 2, 8, 9, 10).compute(ONE_TO_FIVE_AND_NAN))

    assertEvents("R0.00", "R1.00", "R1.00");

    limiter.setRate(Double.POSITIVE_INFINITY);
    limiter.acquire();
    limiter.acquire();
    limiter.acquire();
    assertEvents("R1.00", "R0.00", "R0.00");
  }

  public void testInfinity_WarmUpTimeElapsed() {
    RateLimiter limiter = RateLimiter.create(Double.POSITIVE_INFINITY, 10, SECONDS, 3.0, stopwatch);
    stopwatch.instant += 1000000;
    limiter.setRate(1.0);

    assertEvents("R0.00", "R1.00", "R1.00");

    limiter.setRate(Double.POSITIVE_INFINITY);
    limiter.acquire();
    limiter.acquire();
    limiter.acquire();
    assertEvents("R1.00", "R0.00", "R0.00");
  }

  public void testInfinity_WarmUpTimeElapsed() {
    RateLimiter limiter = RateLimiter.create(Double.POSITIVE_INFINITY, 10, SECONDS, 3.0, stopwatch);
    stopwatch.instant += 1000000;
    limiter.setRate(1.0);

    assertThat(ONE_VALUE_PAIRED_STATS.populationCovariance()).isWithin(0.0).of(0.0);
    assertThat(createSingleStats(Double.POSITIVE_INFINITY, 1.23).populationCovariance()).isNaN();
    assertThat(createSingleStats(Double.NEGATIVE_INFINITY, 1.23).populationCovariance()).isNaN();
    assertThat(createSingleStats(Double.NaN, 1.23).populationCovariance()).isNaN();

    assertThat(ONE_VALUE_PAIRED_STATS.populationCovariance()).isWithin(0.0).of(0.0);
    assertThat(createSingleStats(Double.POSITIVE_INFINITY, 1.23).populationCovariance()).isNaN();
    assertThat(createSingleStats(Double.NEGATIVE_INFINITY, 1.23).populationCovariance()).isNaN();
    assertThat(createSingleStats(Double.NaN, 1.23).populationCovariance()).isNaN();