assertEquals(1, result.getCurrentPageNumber());
        assertEquals(2, result.getPageSize());
        assertEquals(5, result.getAllRecordCount());
        assertEquals(3, result.getAllPageCount());
        assertEquals(1, result.getCurrentPageNumber());
    }

    public void test_selectList_offsetOutOfBounds() {
        loadTestData();

        DictionaryFile.PagingList<StopwordsItem> result = stopwordsFile.selectList(10, 2);

//	// Get a user
//	db.Table("users").Take(&result)
func (db *DB) Table(name string, args ...interface{}) (tx *DB) {
	tx = db.getInstance()
	if strings.Contains(name, " ") || strings.Contains(name, "`") || len(args) > 0 {
		tx.Statement.TableExpr = &clause.Expr{SQL: name, Vars: args}
		if results := tableRegexp.FindStringSubmatch(name); len(results) == 3 {
			if results[1] != "" {
				tx.Statement.Table = results[1]
			} else {

    List<Callable<String>> callables = ImmutableList.of(Callables.returning("x"));
    List<Future<String>> results;

    results = service.invokeAll(callables);
    assertThat(getOnlyElement(results)).isInstanceOf(TrustedListenableFutureTask.class);

    results = service.invokeAll(callables, 1, SECONDS);
    assertThat(getOnlyElement(results)).isInstanceOf(TrustedListenableFutureTask.class);

    /*

                return false;
            }
        }

        // check it in result
        final AccessResult<Long> accessResult = dataHelper.getAccessResultMap(urlQueue.getSessionId()).get(url);
        if (accessResult != null) {
            if (logger.isDebugEnabled()) {
                logger.debug("URL exists in a result: {}", url);
            }
            return false;
        }

        return true;

                image.flush();
                return Result.OK;
            } finally {
                reader.dispose();
            }
        }
        return Result.FAILED;
    }

    /**
     * Enumeration representing the possible results of thumbnail image processing.
     */
    protected enum Result {
        /** Thumbnail was successfully generated */
        OK,

    /**
     * Returns a mapping of artifact coordinates to their corresponding resolution results.
     *
     * @return A {@link Map} where keys are {@link ArtifactCoordinates} and values are {@link ResultItem} instances.
     */
    @Nonnull
    Map<? extends ArtifactCoordinates, ResultItem> getResults();

    /**
     * Retrieves the resolution result for a specific set of artifact coordinates.
     *

	if !truncated {
		return entries, io.EOF
	}
	return entries, nil
}

// listMerged will list across all sets and return a merged results stream.
// The result channel is closed when no more results are expected.
func (z *erasureServerPools) listMerged(ctx context.Context, o listPathOptions, results chan<- metaCacheEntry) error {
	var mu sync.Mutex
	var wg sync.WaitGroup
	var errs []error
	allAtEOF := true

import os
import re
from typing import Dict, Union
import xml.etree.ElementTree as ElemTree


ResultDictType = Dict[str, Dict[str, Union[str, int]]]

RESULT_STORE_LINK_RE = re.compile(
    r'^INFO: Streaming build results to: (https://[\w./\-]+)')
FAILED_BUILD_LINE = 'FAILED: Build did NOT complete successfully'
BUILD_STATUS_LINE = 'INFO: Build'
TESTS_FAILED_RE = re.compile(r'^INFO: Build completed, \d+ tests? FAILED')

    if (planToReplace != null) {
      nextRouteToTry = planToReplace.route
      planToReplace.closeQuietly()
    }

    connectionUser.connectionAcquired(result)
    connectionUser.connectionConnectionAcquired(result)
    return ReusePlan(result)
  }

  /** Returns a plan for the first attempt at [route]. This throws if no plan is possible. */
  @Throws(IOException::class)
  internal fun planConnectToRoute(

import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings