} else {
            diff[k] += 1;
          }
        }
      }
      // measure probability and assert it's within margin of error
      for (int j = 0; j < hashBits; j++) {
        double prob = (double) diff[j] / (double) (diff[j] + same[j]);
        assertThat(prob).isWithin(epsilon).of(0.50d);
      }
    }
  }

  /**

  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() {

     */
    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() {

 *
 * @author Louis Wasserman
 */
@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++) {

    assertThat(ONE_VALUE_PAIRED_STATS.populationCovariance()).isEqualTo(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(TWO_VALUES_PAIRED_STATS.populationCovariance())

    assertThat(ONE_VALUE_PAIRED_STATS.populationCovariance()).isEqualTo(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(TWO_VALUES_PAIRED_STATS.populationCovariance())

    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) {

    new RoundToDoubleTester(maxDoubleAsBigInteger)
        .setExpectation(Double.MAX_VALUE, RoundingMode.values())
        .test();
  }

  @J2ktIncompatible
  @GwtIncompatible
  public void testRoundToDouble_maxDoublePlusOne() {
    BigInteger maxDoubleAsBigInteger =
        DoubleMath.roundToBigInteger(Double.MAX_VALUE, UNNECESSARY).add(BigInteger.ONE);

        assertNull(result);
    }

    @Test
    void testGetByNameWithValidEntry() throws IOException {
        // Create a temporary lmhosts file
        File lmhostsFile = tempDir.resolve("lmhosts").toFile();
        try (FileWriter writer = new FileWriter(lmhostsFile)) {
            writer.write("192.168.1.100 TESTHOST\n");
            writer.write("10.0.0.1      SERVER01\n");
        }

    }

    public void formatRate(MessageBuilder builder, double rate) {
        // Handle invalid rates gracefully (including negative values)
        if (Double.isNaN(rate) || Double.isInfinite(rate) || rate < 0) {
            builder.append("? B/s");
            return;
        }

        ScaleUnit unit = ScaleUnit.getScaleUnit(Math.round(rate));
        double scaledRate = rate / unit.bytes();