negativeToMaxValue(loadExceptionCount.sum()),
          negativeToMaxValue(totalLoadTime.sum()),
          negativeToMaxValue(evictionCount.sum()));
    }

    /** Returns {@code value}, if non-negative. Otherwise, returns {@link Long#MAX_VALUE}. */
    private static long negativeToMaxValue(long value) {
      return (value >= 0) ? value : Long.MAX_VALUE;
    }

      }
    }
    return s;
  }

  /** Escapes the given Unicode code point in UTF-8. */
  @Override
  protected char @Nullable [] escape(int cp) {
    // We should never get negative values here but if we do it will throw an
    // IndexOutOfBoundsException, so at least it will get spotted.
    if (cp < safeOctets.length && safeOctets[cp]) {
      return null;
    } else if (cp == ' ' && plusForSpace) {

          )
        if (dateCharacter == !invert) return i
      }
      return limit
    }

    /**
     * Returns the positive value if [s] is positive, or [Long.MIN_VALUE] if it is either 0 or
     * negative. If the value is positive but out of range, this returns [Long.MAX_VALUE].
     *
     * @throws NumberFormatException if [s] is not an integer of any precision.
     */
    private fun parseMaxAge(s: String): Long {

            result = true;
        } else {
            // process the list
            String[] repos = pattern.split(",");
            for (String repo : repos) {
                // see if this is a negative match
                if (repo.length() > 1 && repo.startsWith("!")) {
                    if (repo.substring(1).equals(originalId)) {
                        // explicitly exclude. Set result and stop processing.

   * @param columnIndex position of the row key in {@link #columnKeyList()}
   * @return the value with the specified row and column
   * @throws IndexOutOfBoundsException if either index is negative, {@code rowIndex} is greater than
   *     or equal to the number of allowed row keys, or {@code columnIndex} is greater than or equal
   *     to the number of allowed column keys
   */

  // https://github.com/google/guava/issues/1781
  public void testOptimalNumOfHashFunctionsRounding() {
    assertEquals(5, BloomFilter.optimalNumOfHashFunctions(0.03));
  }

  /** Tests that we always get a non-negative optimal size. */
  public void testOptimalSize() {
    for (int n = 1; n < 1000; n++) {
      for (double fpp = Double.MIN_VALUE; fpp < 1.0; fpp += 0.001) {

		LimitedReader: io.LimitedReader{R: r, N: n},
		Closer:        r,
	}
}

// ObjectSegmentReaderFn is a function that returns a reader for a contiguous
// suffix segment of an object starting at the given (non-negative) offset.
type ObjectSegmentReaderFn func(offset int64) (io.ReadCloser, error)

// ObjectReadSeekCloser implements ReadSeekCloser interface for reading objects.

    assertThrows(
        NumberFormatException.class,
        () -> UnsignedBytes.parseUnsignedByte("0", Character.MAX_RADIX + 1));

    // The radix is used as an array index, so try a negative value.
    assertThrows(NumberFormatException.class, () -> UnsignedBytes.parseUnsignedByte("0", -1));
  }

  public void testToString() {
    // We can easily afford to test this exhaustively.

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating
   * them until they are needed.  When there is no contention, all

  }

  @J2ktIncompatible
  @GwtIncompatible // threads
  public void testOverflowTimeout() throws Exception {
    // First, sanity check that naive multiplication would really overflow to a negative number:
    long nanosPerSecond = NANOSECONDS.convert(1, SECONDS);
    assertThat(nanosPerSecond * Long.MAX_VALUE).isLessThan(0L);

    // Check that we wait long enough anyway (presumably as long as MAX_VALUE nanos):