import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.query.QueryProcessor.FilterChain;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.opensearch.index.query.BoolQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

public class QueryProcessorTest extends UnitFessTestCase {

    public void test_executeWithFilter() {

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

				goto fallback
			}
		}
		return -1

	fallback:
		// Switch to bytealg.Index, if available, or a brute force search when
		// IndexByte returns too many false positives.
		if haveFastIndex {
			if j := bytealg.Index(s[i-last:], b[:n]); j >= 0 {
				return i + j - last
			}
		} else {
			// If bytealg.Index is not available a brute force search is
			// ~1.5-3x faster than Rabin-Karp since n is small.

    int index = hash & (table.length() - 1);

    InternalEntry<Object, Object, ?> entry = segment.newEntryForTesting(key, hash, null);
    segment.setValueForTesting(entry, value);

    assertNull(segment.get(key, hash));

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertNull(segment.get(key, hash));

    int index = hash & (table.length() - 1);

    InternalEntry<Object, Object, ?> entry = segment.newEntryForTesting(key, hash, null);
    segment.setValueForTesting(entry, value);

    assertNull(segment.get(key, hash));

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertNull(segment.get(key, hash));

1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

    extends UnmodifiableListIterator<E> {
  private final int size;
  private int position;

  /** Returns the element with the specified index. This method is called by {@link #next()}. */
  @ParametricNullness
  protected abstract E get(int index);

  /**
   * Constructs an iterator across a sequence of the given size whose initial position is 0. That

            if ( this.array != null ) {
                _dst = _dst.deferred;
                int _arrays = this.count;
                _dst.enc_ndr_long(_arrays);
                int _arrayi = _dst.index;
                _dst.advance(4 * _arrays);

                _dst = _dst.derive(_arrayi);
                for ( int _i = 0; _i < _arrays; _i++ ) {
                    this.array[ _i ].encode(_dst);
                }

    new_config_docs_path: Path = new_path / "docs"
    new_config_docs_path.mkdir()
    en_index_path: Path = en_docs_path / "docs" / "index.md"
    new_index_path: Path = new_config_docs_path / "index.md"
    en_index_content = en_index_path.read_text(encoding="utf-8")
    new_index_content = f"{missing_translation_snippet}\n\n{en_index_content}"