*/
package org.codelibs.fess.dict.synonym;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

import org.codelibs.fess.dict.DictionaryFile.PagingList;
import org.codelibs.fess.unit.UnitFessTestCase;

public class SynonymFileTest extends UnitFessTestCase {
    private SynonymFile synonymFile;

    // TODO
    /*
    private File file1;
    @Override

        facetQueryView.addQuery("label1", "filetype:html");

        facetQueryView.init();
        int firstSize = facetQueryView.getQueryMap().size();
        int firstQueriesCount = testFacetInfo.getAddedQueries().size();

        // Call init again
        facetQueryView.init();

        // Size should remain the same
        assertEquals(firstSize, facetQueryView.getQueryMap().size());

import java.util.List;
import java.util.Set;
import java.util.function.Consumer;

import org.codelibs.fess.exception.JobNotFoundException;
import org.codelibs.fess.exception.JobProcessingException;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.JobProcess;

public class ProcessHelperTest extends UnitFessTestCase {

    public ProcessHelper processHelper;

    @Override

     * Current strategy is based on failure count. In the future, this could be enhanced to consider:
     * - Recent event frequency (successful notifications)
     * - Time since last successful notification
     * - Events per unit time for more adaptive behavior
     *
     * @param handle notification handle
     * @return polling interval in milliseconds
     */
    private long determinePollInterval(ChangeNotificationHandle handle) {

        }
    }
}

private fun prepareScenariosStep(
    testProject: String,
    scenarios: List<Scenario>,
    os: Os,
): BuildSteps.() -> Unit {
    if (scenarios.isEmpty()) {
        throw IllegalArgumentException("Scenarios list must not be empty for $testProject")
    }
    val csvLines = scenarios.map { "${it.className};${it.scenario}" }

9. Open a Pull Request

### Code Style

- Use Eclipse formatter configuration (`src/config/eclipse/formatter/java.xml`)
- Follow existing naming conventions
- Add comprehensive JavaDoc for public APIs
- Write unit and integration tests

## License

uspost/reedsolomon) erasure coding scheme, which has a total shard maximum of 256 i.e 128 data and 128 parity. MinIO design goes beyond this limitation by doing some practical architecture choices.

- Erasure set is a single erasure coding unit within a MinIO deployment. An object is sharded within an erasure set. Erasure set size is automatically calculated based on the number of drives. MinIO supports unlimited number of drives but each erasure set can be up to 16 drives and a minimum of...

 */
package org.codelibs.fess.filter;

import java.io.IOException;

import org.codelibs.fess.cors.CorsHandler;
import org.codelibs.fess.cors.CorsHandlerFactory;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;

import jakarta.servlet.FilterChain;
import jakarta.servlet.ServletException;
import jakarta.servlet.ServletRequest;
import jakarta.servlet.ServletResponse;

import org.opensearch.action.search.SearchResponse;
import org.opensearch.action.support.WriteRequest.RefreshPolicy;
import org.opensearch.action.update.UpdateRequestBuilder;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.SearchHits;
import org.opensearch.search.sort.SortBuilders;

            buffer.putLong(524288L); // Caller available allocation units (512K)
            buffer.putLong(524288L); // Actual free allocation units (512K)
            buffer.putInt(8); // Sectors per allocation unit
            buffer.putInt(512); // Bytes per sector
            byte[] bufferArray = buffer.array();

            // When
            int bytesConsumed = fileFsFullSizeInfo.decode(bufferArray, 0, bufferArray.length);