saveInfo(messages -> messages.addSuccessDeletePlugin(GLOBAL, artifact.getFileName()));
        return redirect(getClass());
    }

    /**
     * Installs a plugin from either an uploaded JAR file or from the available artifacts.
     *
     * @param form the install form containing plugin installation details
     * @return HTML response redirecting to the plugin list
     */
    @Execute
    @Secured({ ROLE })

Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.

This actually inspired updating parts of Pydantic, to support the same validation declaration style (all this functionality is now already available in Pydantic).

///

### <a href="https://github.com/hugapi/hug" class="external-link" target="_blank">Hug</a> { #hug }

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.exception;

/**
 * Exception thrown when requested content cannot be found.
 * Typically used when a document or resource is not available during crawling or indexing.
 */
public class ContentNotFoundException extends FessSystemException {

    private static final long serialVersionUID = 1L;

    /**

  Source Code:        https://gitbox.apache.org/repos/asf/maven.git
  Issue Tracking:     https://issues.apache.org/jira/browse/MNG
  Wiki:               https://cwiki.apache.org/confluence/display/MAVEN/

   * The "getStackTraceElementMethod" method, only available on some JDKs so we use reflection to
   * find it when available. When this is null, use the slow way.
   */
  @J2ktIncompatible @GwtIncompatible // java.lang.reflect
  private static final @Nullable Method getStackTraceElementMethod =
      (jla == null) ? null : getGetMethod();

  /**
   * The "getStackTraceDepth" method, only available on some JDKs so we use reflection to find it

{
  "fess_config.web_config" : {
    "aliases" : { },
    "mappings" : {
      "web_config" : {
        "properties" : {
          "available" : {
            "type" : "boolean"
          },
          "boost" : {
            "type" : "float"
          },
          "configParameter" : {
            "type" : "keyword"
          },
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

        log.info("Setting up Samba container for SMB integration tests");

        // Check if Docker is available
        assumeTrue(isDockerAvailable(), "Docker is not available - skipping integration tests");
        assumeTrue(sambaContainer != null, "Container not initialized - Docker not available");

        // Create temporary directory structure for SMB shares
        tempDir = Files.createTempDirectory("smbtest");

      // we could rely solely on #poll, but #drainTo might be more efficient when there are multiple
      // elements already available (e.g. LinkedBlockingQueue#drainTo locks only once)
      added += q.drainTo(buffer, numElements - added);
      if (added < numElements) { // not enough elements immediately available; will have to poll
        E e = q.poll(deadline - System.nanoTime(), NANOSECONDS);
        if (e == null) {

        }

        return null; // No witness service found
    }

    /**
     * Check if witness service is available on the given address
     *
     * @param address the address to check
     * @return true if witness service is available
     */
    private boolean isWitnessServiceAvailable(InetAddress address) {
        // RPC endpoint mapper port and connection timeout