.get(stream -> stream.filter(StringUtil::isNotBlank).distinct().map(String::trim).toArray(n -> new String[n])));
            return entity;
        });
    }

    /**
     * Registers roles and labels for the dropdown lists.
     *
     * @param data the render data
     */
    protected void registerRolesAndLabels(final RenderData data) {

 *
 * <p>{@code Object.hashCode} implementations tend to be very fast, but have weak collision
 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table

 *
 * <p>{@code Object.hashCode} implementations tend to be very fast, but have weak collision
 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table

* **Maschinelles Lernen**: Normalerweise sind viele „Matrix“- und „Vektor“-Multiplikationen erforderlich. Stellen Sie sich eine riesige Tabelle mit Zahlen vor, in der Sie alle Zahlen gleichzeitig multiplizieren.

		t.Fatalf("Failed to auto migrate, got error %v", err)
	}

	if tables, err := DB.Migrator().GetTables(); err != nil {
		t.Fatalf("Failed to get database all tables, but got error %v", err)
	} else {
		for _, t1 := range []string{"users", "accounts", "pets", "companies", "toys", "languages", "tools"} {
			hasTable := false
			for _, t2 := range tables {
				if t2 == t1 {
					hasTable = true
					break
				}
			}

		Buckets: []float64{0.01, 0.1, 1, 2, 5, 10, 60, 5 * 60, 15 * 60, 30 * 60},
	}, []string{"tier"}),
}

func (t *tierMetrics) Observe(tier string, dur time.Duration) {
	t.histogram.With(prometheus.Labels{"tier": tier}).Observe(dur.Seconds())
}

func (t *tierMetrics) logSuccess(tier string) {
	t.Lock()
	defer t.Unlock()

	stat := t.requestsCount[tier]
	stat.success++
	t.requestsCount[tier] = stat

            createdStr = sdf.format(created);
        } else {
            createdStr = ComponentUtil.getMessageManager().getMessage(locale, "labels.search_unknown");
        }
        doc.put(CACHE_MSG, ComponentUtil.getMessageManager().getMessage(locale, "labels.search_cache_msg", url, createdStr));

        doc.put(QUERIES, queries);

- Pods owned by a Job now uses the labels `batch.kubernetes.io/job-name` and `batch.kubernetes.io/controller-uid`.
  The legacy labels `job-name` and `controller-uid` are still added for compatibility. ([#114930](https://github.com/kubernetes/kubernetes/pull/114930), [@kannon92](https://github.com/kannon92))

- The `volume_zone` plugin will consider `beta` labels as `GA` labels during the scheduling
  process. Therefore, if the values of the labels are the same, PVs with `beta` labels
  can also be scheduled to nodes with `GA` labels. ([#118923](https://github.com/kubernetes/kubernetes/pull/118923), [@AxeZhan](https://github.com/AxeZhan))

this.config[key]) {\n          config[key] = this.config[key]\n        }\n      }\n    }\n\n    return config\n  }\n\n  _cleanTipClass() {\n    const $tip = $(this.getTipElement())\n    const tabClass = $tip.attr('class').match(BSCLS_PREFIX_REGEX)\n    if (tabClass !== null && tabClass.length) {\n      $tip.removeClass(tabClass.join(''))\n    }\n  }\n\n  _handlePopperPlacementChange(popperData) {\n    this.tip = popperData.instance.popper\n    this._cleanTipClass()\n    this.addAttachmentClass(this._getAtt...