* 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 !(Double.isInfinite(value) || Double.isNaN(value))}.
   *
   * <p><b>Java 8+ users:</b> use {@link Double#isFinite(double)} instead.
   *
   * @since 10.0
   */
  public static boolean isFinite(double value) {
    return NEGATIVE_INFINITY < value && value < POSITIVE_INFINITY;
  }

  /**

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]

   *
   * <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;

    assertThat(TWO_VALUES_STATS.mean()).isWithin(ALLOWED_ERROR).of(TWO_VALUES_MEAN);
    // For datasets of many double values created from an array, we test many combinations of finite
    // and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      double mean = Stats.of(values.asArray()).mean();
      if (values.hasAnyNaN()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();

        .isWithin(ALLOWED_ERROR)
        .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStatsAccumulator accumulator =
          createFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES);

ery"],function(a){return b(a)}):"object"==typeof module&&module.exports?module.exports=b(require("jquery")):b(a.jQuery)}(this,function(a){!function(a){a.formUtils.registerLoadedModule("color");var b=function(a){return/^(\-|\+)?([0-9]+(\.[0-9]+)?|Infinity)$/.test(a)?Number(a):NaN},c=function(a){return a>0&&a<1};a.formUtils.addValidator({name:"hex",validatorFunction:function(a,b){if("true"===b.valAttr("allow-transparent")&&"transparent"===a)return!0;var c="#"===a[0];if(!c)return!1;var d=4===a.leng...

$(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...

   *
   * <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