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");
        }

import static com.google.common.math.MathTesting.FINITE_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.FRACTIONAL_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.INFINITIES;
import static com.google.common.math.MathTesting.INTEGRAL_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.NEGATIVE_INTEGER_CANDIDATES;

    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)

* 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))

   * 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);
  }

  /**

   *
   * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It
   * is not guaranteed to return zero when the dataset consists of the same pair of values multiple
   * times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

import static com.google.common.math.MathTesting.FINITE_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.FRACTIONAL_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.INFINITIES;
import static com.google.common.math.MathTesting.INTEGRAL_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.NEGATIVE_INTEGER_CANDIDATES;

$(this._dialog)\n        .one(Util.TRANSITION_END, transitionComplete)\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      transitionComplete()\n    }\n  }\n\n  _enforceFocus() {\n    $(document)\n      .off(EVENT_FOCUSIN) // Guard against infinite focus loop\n      .on(EVENT_FOCUSIN, event => {\n        if (document !== event.target &&\n            this._element !== event.target &&\n            $(this._element).has(event.target).length === 0) {\n          this._element.focus()\n        }\n...

    assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();

    assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();