public void testCheckNonNegative_zeroDouble() {
    MathPreconditions.checkNonNegative("double", 0d);
  }

  public void testCheckNonNegative_maxDouble() {
    MathPreconditions.checkNonNegative("double", Double.MAX_VALUE);
  }

  public void testCheckNonNegative_minDouble() {
    MathPreconditions.checkNonNegative("double", Double.MIN_VALUE);
  }

  public void testCheckNonNegative_positiveDouble() {

    }

    /**
     * Gets a Double value from the map.
     *
     * @param map The source map
     * @param key The key to look up
     * @return The Double value, or null if the key doesn't exist or value is null
     * @throws NumberFormatException if the value cannot be parsed as a Double
     */
    public static Double getDouble(final Map<String, Object> map, final String key) {

              ImmutableSet.of(REFERENCE_ALGORITHM))
          .immutableCopy();

  private double[] dataset;

  @Override
  protected void setUp() {
    dataset = new double[DATASET_SIZE];
    for (int i = 0; i < DATASET_SIZE; i++) {
      dataset[i] = rng.nextDouble();
    }
  }

  public void testSingleQuantile_median() {
    double referenceValue = REFERENCE_ALGORITHM.singleQuantile(1, 2, dataset.clone());

   */
  public abstract ComparisonChain compare(float left, float right);

  /**
   * Compares two {@code double} values as specified by {@link Double#compare}, <i>if</i> the result
   * of this comparison chain has not already been determined.
   */
  public abstract ComparisonChain compare(double left, double right);

  /**
   * Discouraged synonym for {@link #compareFalseFirst}.
   *

@NullUnmarked
public class DoubleMathBenchmark {
  private static final double[] positiveDoubles = new double[ARRAY_SIZE];
  private static final int[] factorials = new int[ARRAY_SIZE];
  private static final double[] doubles = new double[ARRAY_SIZE];

  @BeforeExperiment
  void setUp() {
    for (int i = 0; i < ARRAY_SIZE; i++) {
      positiveDoubles[i] = randomPositiveDouble();
      doubles[i] = randomDouble(Long.SIZE);

     */
    public double getAverageReadLatencyMicros() {
        long reads = rdmaReads.get();
        if (reads == 0) {
            return 0.0;
        }
        return totalReadTime.get() / (double) reads / 1000.0; // Convert to microseconds
    }

    /**
     * Calculate average write latency in microseconds
     *
     * @return average write latency
     */
    public double getAverageWriteLatencyMicros() {

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;

    // For datasets of many double values created from an iterable, we test many combinations of
    // finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();
      StatsAccumulator accumulatorByAddAllStats = new StatsAccumulator();
      accumulator.addAll(values.asIterable());
      for (double value : values.asIterable()) {

    double expectedReportedFpp = (double) knownNumberOfFalsePositives / numInsertions;
    double actualReportedFpp = bf.expectedFpp();
    assertThat(actualReportedFpp).isWithin(0.00033).of(expectedReportedFpp);
  }

  /** Sanity checking with many combinations of false positive rates and expected insertions */
  public void testBasic() {
    for (double fpr = 0.0000001; fpr < 0.1; fpr *= 10) {

    }

    /**
     * Decodes a double value from little-endian byte order.
     *
     * @param src the source byte array
     * @param si the starting index in the source array
     * @return the decoded double value
     */
    public static double dec_doublele(final byte[] src, final int si) {
        return Double.longBitsToDouble(dec_uint64le(src, si));
    }

    /**