}
    }

    public boolean isAvailable(final String id) {
        return ComponentUtil.getComponent(ScheduledJobBhv.class).selectByPK(id).filter(e -> Boolean.TRUE.equals(e.getAvailable()))
                .isPresent();
    }

    public void store(final JobLog jobLog) {
        ComponentUtil.getComponent(JobLogBhv.class).insertOrUpdate(jobLog, op -> {

                          graph.predecessors(node).iterator(),
                          (N predecessor) -> EndpointPair.ordered(predecessor, node)),
                      Iterators.transform(
                          // filter out 'node' from successors (already covered by predecessors,
                          // above)
                          Sets.difference(graph.successors(node), ImmutableSet.of(node)).iterator(),

behavior of some watch calls to the server when filtering on fields was incorrect. If watching objects with a filter, when an update was made that no longer matched the filter a DELETE event was correctly sent. However, the object that was returned by that delete was not the (correct) version before the update, but instead, the newer version. That meant the new object was not matched by the filter. This was a regression from behavior between cached watches on the server side and uncached watches, and...

* Gutes Zusammenspiel mit Ihrer/Ihrem **<abbr title="Integrierten Entwicklungsumgebung, ähnlich zu (Quellcode-)Editor">IDE</abbr>/<abbr title="Ein Programm, was Fehler im Quellcode sucht">Linter</abbr>/Gehirn**:
    * Weil Pydantics Datenstrukturen einfach nur Instanzen ihrer definierten Klassen sind; Autovervollständigung, Linting, mypy und ihre Intuition sollten alle einwandfrei mit ihren validierten Daten funktionieren.

    * If you know Python types you know how to use Pydantic.
* Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**:
    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:

* Kullandığın geliştirme araçları ile iyi çalışır **<abbr title="Integrated Development Environment, kod editörüne benzer">IDE</abbr>/<abbr title="Code errorlarınızı inceleyen program">linter</abbr>/brain**:
    * Pydantic'in veri yapıları aslında sadece senin tanımladığın classlar; Bu yüzden doğrulanmış dataların ile otomatik tamamlama, linting ve mypy'ı kullanarak sorunsuz bir şekilde çalışabilirsin

 *
 * <p>An instance of this class is serializable if its reference is absent or is a serializable
 * object.
 *
 * <p><b>Comparison to {@code java.util.Optional} (JDK 8 and higher):</b> A new {@code Optional}
 * class was added for Java 8. The two classes are extremely similar, but incompatible (they cannot
 * share a common supertype). <i>All</i> known differences are listed either here or with the

labels.ldapProviderUrl=LDAP URL
labels.ldapSecurityPrincipal=User DN
labels.ldapAdminSecurityPrincipal=Bind DN
labels.ldapAdminSecurityCredentials=Password
labels.ldapBaseDn=Base DN
labels.ldapAccountFilter=Account Filter
labels.ldapGroupFilter=Group Filter
labels.ldapMemberofAttribute=memberOf Attribute
labels.oldPassword=Current Password
labels.newPassword=New Password
labels.confirmNewPassword=New Password(Confirm)

labels.menu_system=System

    val handshake = makeRequest(client)

    assertThat(handshake.cipherSuite).isIn(*expectedModernTls13CipherSuites.toTypedArray())

    // TODO: filter down to TLSv1.3 when only activated.
    // Probably something like
    // TLS_AES_128_GCM_SHA256
    // TLS_AES_256_GCM_SHA384
    // TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384

<style>
.md-content .md-typeset h1 { display: none; }
</style>

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