this.max = max;
  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public static Stats of(Iterable<? extends Number> values) {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(values);
    return accumulator.snapshot();
  }

   *
   * @param values a nonempty series of values, which will be converted to {@code double} values
   *     (this may cause loss of precision for longs of magnitude over 2^53 (slightly over 9e15))
   * @throws IllegalArgumentException if {@code values} is empty
   * @deprecated Use {@link Stats#meanOf} instead, noting the less strict handling of non-finite
   *     values.
   */
  @Deprecated
  public static double mean(long... values) {

 */
public enum HandleType {
    /**
     * No durability - standard handle
     */
    NONE(0),

    /**
     * SMB 2.1 durable handle - survives network loss
     */
    DURABLE_V1(1),

    /**
     * SMB 3.0 durable handle V2 - with timeout configuration
     */
    DURABLE_V2(2),

    /**
     * SMB 3.0 persistent handle - survives server reboot
     */

   *     cause loss of precision)
   */
  public void addAll(Iterable<? extends Number> values) {
    for (Number value : values) {
      add(value.doubleValue());
    }
  }

  /**
   * Adds the given values to the dataset.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */

OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE

    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;
    double slope = Double.MAX_VALUE;

    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;
    double slope = Double.MAX_VALUE;

        for (long time : testTimes) {
            SMBUtil.writeTime(time, buffer, 0);
            long readTime = SMBUtil.readTime(buffer, 0);

            // Account for precision loss in conversion
            long expectedTime = ((time + SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601) * 10000L) / 10000L
                    - SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601;

Do not suppress NullAway errors without a justification.
Prefer rearranging the code to avoid the error, unless there is a provable performance penalty or a significant loss of code readability.
Use `Objects.requireNonNull` statement or `Preconditions` rather than `assert` or `@SuppressWarning` annotation to suppress if possible.

For gradual adoption, enable checks project-by-project.

## Why is Erasure Code useful?