on:
  schedule:
    - cron: '0 4 * * 1'  # Run every Monday at 4:00 AM UTC
  workflow_dispatch:

permissions:
  contents: read
  id-token: write

jobs:
  cleanup-stale-performance-data:
    runs-on: ubuntu-latest

    if: github.repository == 'gradle/gradle'

    steps:
      - name: Checkout repository
        uses: actions/checkout@v6
      
      - name: Configure AWS credentials

    @Required
    public String suggestWord;

    /** The reading/pronunciation of the suggest word for language analysis */
    public String reading;

    /** The target label for filtering documents to be elevated */
    public String targetLabel;

    /** The permission settings for accessing this elevate word configuration */
    @CustomSize(maxKey = "form.admin.max.input.size")

        mostRecentSnapshot = releasedVersions.latestReleaseSnapshot.gradleVersion()

        val testedVersions = previousVersions.filter { it.gradleVersion() >= lowestTestedVersion }
        // Only use latest patch release of each Gradle version
        allTestedVersions = testedVersions.map { VersionNumber.parse(it.gradleVersion().version) }
            .groupBy { "${it.major}.${it.minor}" }

        scoreUpdater.addScoreBooster(booster);

        String result = scoreUpdater.execute();
        assertTrue(result.contains("Runtime exception message"));
    }

    // Test large number of boosters
    @Test
    public void test_execute_manyBoosters() {
        for (int i = 0; i < 100; i++) {
            TestScoreBooster booster = new TestScoreBooster(i);

import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.action.admin.cluster.node.hotthreads.NodesHotThreadsResponse;
import org.opensearch.common.unit.TimeValue;

/**
 * Monitor target for tracking hot threads in the OpenSearch cluster.
 * This class extends MonitorTarget to provide monitoring functionality for
 * hot threads, which helps identify performance bottlenecks and resource

                                                                        name="delete" data-toggle="modal"
                                                                        data-target='#confirmToDelete-${f:h(artifact.name)}-${f:h(artifact.version).replace(".", "\\.")}'
                                                                        value="<la:message key="labels.crud_button_delete" />"

		<i class="fa fa-pencil-alt" aria-hidden="true"></i>
		<la:message key="labels.crud_button_edit" />
	</button>
	<button type="button" class="btn btn-danger" name="delete"
		data-toggle="modal" data-target="#confirmToDelete"
		value="<la:message key="labels.crud_button_delete" />">
		<i class="fa fa-trash" aria-hidden="true"></i>
		<la:message key="labels.crud_button_delete" />
	</button>

        }
    }

    @Test
    public void test_execute_withVeryLargeBoost() {
        // Test executing BoostQuery with very large boost value
        Term term = new Term("field", "large");
        TermQuery termQuery = new TermQuery(term);
        BoostQuery boostQuery = new BoostQuery(termQuery, Float.MAX_VALUE);

        QueryContext context = new QueryContext("test", false);

This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**
Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead.

- **Flexibility and Control:**

import org.codelibs.fess.opensearch.client.SearchEngineClient;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.bulk.BulkResponse;

/**
 * A timer target that periodically flushes buffered log notification events
 * to an OpenSearch index for downstream processing.
 */
public class LogNotificationTarget implements TimeoutTarget {

    /**
     * Default constructor.