static long getSignificand(double d) {
    checkArgument(isFinite(d), "not a normal value");
    int exponent = getExponent(d);
    long bits = doubleToRawLongBits(d);
    bits &= SIGNIFICAND_MASK;
    return (exponent == MIN_EXPONENT - 1) ? bits << 1 : bits | IMPLICIT_BIT;
  }

  static boolean isFinite(double d) {
    return getExponent(d) <= MAX_EXPONENT;
  }

For floating-point arguments negative zero, NaN, and infinity the following rules apply:
</p>

<pre>
   x        y    min(x, y)    max(x, y)

  -0.0    0.0         -0.0          0.0    // negative zero is smaller than (non-negative) zero
  -Inf      y         -Inf            y    // negative infinity is smaller than any other number
  +Inf      y            y         +Inf    // positive infinity is larger than any other number

   * necessarily implemented as, {@code !(Double.isInfinite(value) || Double.isNaN(value))}.
   *
   * <p>Prefer {@link Double#isFinite(double)} instead.
   *
   * @since 10.0
   */
  @InlineMe(replacement = "Double.isFinite(value)")
  public static boolean isFinite(double value) {
    return Double.isFinite(value);
  }

  /**

  static long getSignificand(double d) {
    checkArgument(isFinite(d), "not a normal value");
    int exponent = getExponent(d);
    long bits = doubleToRawLongBits(d);
    bits &= SIGNIFICAND_MASK;
    return (exponent == MIN_EXPONENT - 1) ? bits << 1 : bits | IMPLICIT_BIT;
  }

  static boolean isFinite(double d) {
    return getExponent(d) <= MAX_EXPONENT;
  }

        and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.
    *   New `tf.data.Dataset.window()` API allows users to create finite windows
        of input dataset; when combined with the `tf.data.Dataset.reduce()` API,
        this allows users to implement customized batching.

        int length = s.read();
        if (0 == length >>> 7) {
            // definite-length short form
            return length;
        }
        if (0x80 == length) {
            // indefinite-length
            return -1;
        }
        if (length < 0) {
            throw new EOFException("EOF found when length expected");
        }

    void testReadLength_ShortForm() throws IOException {
        // Definite-length short form (length 10)
        InputStream s = new ByteArrayInputStream(new byte[] { 0x0A });
        int length = ASN1Util.readLength(s, 100, false);
        assertEquals(10, length);
    }

    @Test
    void testReadLength_LongForm() throws IOException {
        // Definite-length long form (length 256)

   * necessarily implemented as, {@code !(Float.isInfinite(value) || Float.isNaN(value))}.
   *
   * <p>Prefer {@link Float#isFinite(float)} instead.
   *
   * @since 10.0
   */
  @InlineMe(replacement = "Float.isFinite(value)")
  public static boolean isFinite(float value) {
    return Float.isFinite(value);
  }

  /**

* kubeadm init: fix a bug that prevented the --token-ttl flag and tokenTTL configuration value from working as expected for infinite (0) values. ([#54640](https://github.com/kubernetes/kubernetes/pull/54640), [@mattmoyer](https://github.com/mattmoyer))

LimitNOFILE=${packaging.os.max.open.files}

# Specifies the maximum number of bytes of memory that may be locked into RAM
# Set to "infinity" if you use the 'bootstrap.mlockall: true' option
# in fess.yml and 'MAX_LOCKED_MEMORY=unlimited' in ${packaging.env.file}
#LimitMEMLOCK=infinity

# Shutdown delay in seconds, before process is tried to be killed with KILL (if configured)
TimeoutStopSec=20

[Install]