labels.dict_stemmeroverride_details=Dict Stemmeroverride विवरण
labels.dict_stopwords_details=Dict Stopwords विवरण
labels.dict_synonym_details=Dict Synonym विवरण
labels.duplicate_host_details=Duplicate Host विवरण
labels.elevate_word_details=Elevate Word विवरण
labels.failure_url_details=Failure Url विवरण
labels.file_auth_details=File Auth विवरण
labels.file_config_details=File Config विवरण
labels.group_details=Group विवरण
labels.job_log_details=Job Log विवरण

labels.dict_stemmeroverride_details=Dict Stemmeroverride 详情
labels.dict_stopwords_details=Dict Stopwords 详情
labels.dict_synonym_details=Dict Synonym 详情
labels.duplicate_host_details=Duplicate Host 详情
labels.elevate_word_details=Elevate Word 详情
labels.failure_url_details=Failure Url 详情
labels.file_auth_details=File Auth 详情
labels.file_config_details=File Config 详情
labels.group_details=Group 详情
labels.job_log_details=Job Log 详情

labels.dict_stemmeroverride_details=Dict Stemmeroverride 상세
labels.dict_stopwords_details=Dict Stopwords 상세
labels.dict_synonym_details=Dict Synonym 상세
labels.duplicate_host_details=Duplicate Host 상세
labels.elevate_word_details=Elevate Word 상세
labels.failure_url_details=Failure Url 상세
labels.file_auth_details=File Auth 상세
labels.file_config_details=File Config 상세
labels.group_details=Group 상세
labels.job_log_details=Job Log 상세

			// Experiments (using IndexPeriodic) suggest
			// the cutover is about 16 byte skips.
			// TODO: if large prefixes of sep are matching
			// we should cutover at even larger average skips,
			// because Equal becomes that much more expensive.
			// This code does not take that effect into account.
			j := bytealg.IndexRabinKarp(s[i:], sep)
			if j < 0 {
				return -1
			}

     */
    Integer getPageScheduledJobMaxFetchSizeAsInteger();

    /**
     * Get the value for the key 'page.elevate.word.max.fetch.size'. <br>
     * The value is, e.g. 1000 <br>
     * comment: Maximum number of elevate word records to fetch per page.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */

     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This
     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to

     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This
     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to

    bounds when loading a specially crafted `SavedModel`
    ([CVE-2020-26271](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26271))
*   Solves an OOM issue on TPUs when XLA contexts use fused average updates
*   Updates `libjpeg-turbo` to `2.0.5` to handle
    [CVE-2020-13790](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13790).
*   Updates `junit` to `4.13.1` to handle

runtime failures and now perform a more rigorous reconciliation to ensure static pods (especially those that use fixed UIDs) are restarted.  As a side effect of these changes static pods will be restarted with lower latency than before (2s vs 4s, on average) and rapid updates to pod configuration should take effect sooner.
  
  A new metric `kubelet_known_pods` has been added at ALPHA stability to report the number of pods a Kubelet is tracking in a number of internal states.  Operators may...

			}
			for rm, x := range v.XferStats {
				x2, ok := v2.XferStats[replication.MetricName(rm)]
				if !ok {
					x2 = replication.XferStats{}
				}
				x2.AvgRate += x.Avg
				x2.CurrRate += x.Curr
				if x.Peak > x2.PeakRate {
					x2.PeakRate = x.Peak
				}
				v2.XferStats[replication.MetricName(rm)] = x2
			}
			sm.Metrics[dID] = v2
		}
	}