}

    @ParameterizedTest
    @DisplayName("Test with various timeout values")
    @ValueSource(longs = { 0L, 1L, -1L, Long.MAX_VALUE, Long.MIN_VALUE, 1000L, -1000L })
    void testWithVariousTimeoutValues(long timeout) {
        // Setup
        String pipeName = "TestPipe";
        FsctlPipeWaitRequest request = new FsctlPipeWaitRequest(pipeName, timeout);

    return new ImmutableLongArray(new long[] {e0, e1, e2, e3});
  }

  /** Returns an immutable array containing the given values, in order. */
  public static ImmutableLongArray of(long e0, long e1, long e2, long e3, long e4) {
    return new ImmutableLongArray(new long[] {e0, e1, e2, e3, e4});
  }

  /** Returns an immutable array containing the given values, in order. */

   */
  protected void processRemaining(ByteBuffer bb) {
    Java8Compatibility.position(bb, bb.limit()); // move at the end
    Java8Compatibility.limit(bb, chunkSize + 7); // get ready to pad with longs
    while (bb.position() < chunkSize) {
      bb.putLong(0);
    }
    Java8Compatibility.limit(bb, chunkSize);
    Java8Compatibility.flip(bb);
    process(bb);
  }

  @Override
  @CanIgnoreReturnValue

    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Doubles.toArray(bytes)).isEqualTo(array);
    assertThat(Doubles.toArray(shorts)).isEqualTo(array);
    assertThat(Doubles.toArray(ints)).isEqualTo(array);
    assertThat(Doubles.toArray(floats)).isEqualTo(array);
    assertThat(Doubles.toArray(longs)).isEqualTo(array);

          "Quantile indexes must be between 0 and the scale, which is " + scale);
    }
  }

  private static double[] longsToDoubles(long[] longs) {
    int len = longs.length;
    double[] doubles = new double[len];
    for (int i = 0; i < len; i++) {
      doubles[i] = longs[i];
    }
    return doubles;
  }

  private static double[] intsToDoubles(int[] ints) {
    int len = ints.length;

   *
   * @param values a 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))
   */
  public static Stats of(long... values) {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(values);
    return accumulator.snapshot();
  }

  /**

        .isNull();
    assertWithMessage("Max long").that(Ints.tryParse(Long.toString(Long.MAX_VALUE))).isNull();
    assertWithMessage("Min long").that(Ints.tryParse(Long.toString(Long.MIN_VALUE))).isNull();
    assertThat(Ints.tryParse("\u0662\u06f3")).isNull();
  }

  /**
   * Applies {@link Ints#tryParse(String)} to the given string and asserts that the result is as
   * expected.

            assertTrue(testRequest.isResponseAsync());
        }

        @ParameterizedTest
        @ValueSource(longs = { 1L, 100L, Long.MAX_VALUE })
        @DisplayName("isResponseAsync should return true for various non-zero asyncIds")
        void testIsResponseAsyncWithDifferentValues(long asyncId) {
            testRequest.setAsyncId(asyncId);
            assertTrue(testRequest.isResponseAsync());
        }
    }

   *
   * @param values a 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))
   */
  public void addAll(long... values) {
    for (long value : values) {
      add(value);
    }
  }

  /**
   * Adds the given values to the dataset. The stream will be completely consumed by this method.

            + Long.numberOfLeadingZeros(~a)
            + Long.numberOfLeadingZeros(b)
            + Long.numberOfLeadingZeros(~b);
    if (leadingZeros > Long.SIZE + 1) {
      return a * b;
    }
    // the return value if we will overflow (which we calculate by overflowing a long :) )
    long limit = Long.MAX_VALUE + ((a ^ b) >>> (Long.SIZE - 1));
    if (leadingZeros < Long.SIZE | (a < 0 & b == Long.MIN_VALUE)) {