createTestIndex();

        List<String> results = ScrollOperationHelper.scrollSearch(client, suggester.settings(), INDEX_NAME, QueryBuilders.matchAllQuery(),
                10, (hit, accumulator) -> accumulator.add(hit.getId()));

        assertNotNull(results);
        assertTrue(results.isEmpty());
    }

    @Test
    public void testScrollSearch_singlePage() {
        createTestIndex();

        A accum = collector.supplier().get();
        for (T input : inputs) {
          collector.accumulator().accept(accum, input);
        }
        return accum;
      }
    },
    /** Get one accumulator for each element and merge the accumulators left-to-right. */
    MERGE_LEFT_ASSOCIATIVE {
      @Override
      final <T extends @Nullable Object, A extends @Nullable Object, R extends @Nullable Object>

        A accum = collector.supplier().get();
        for (T input : inputs) {
          collector.accumulator().accept(accum, input);
        }
        return accum;
      }
    },
    /** Get one accumulator for each element and merge the accumulators left-to-right. */
    MERGE_LEFT_ASSOCIATIVE {
      @Override
      final <T extends @Nullable Object, A extends @Nullable Object, R extends @Nullable Object>

     *
     * @param <T> The type of item to accumulate
     */
    @FunctionalInterface
    public interface HitProcessor<T> {
        /**
         * Process a single search hit and optionally add results to the accumulator.
         *
         * @param hit The search hit to process
         * @param accumulator The list to accumulate results
         */
        void process(SearchHit hit, List<T> accumulator);

		result.combine(e.DateDiff.Timestamp2.analyze(s))
		return result

	// Handle aggregation function calls
	case aggFnAvg, aggFnMax, aggFnMin, aggFnSum, aggFnCount:
		// Initialize accumulator
		e.aggregate = newAggVal(funcName)

		var exprA qProp
		if funcName == aggFnCount {
			if e.Count.StarArg {
				return qProp{isAggregation: true}
			}

			exprA = e.Count.ExprArg.analyze(s)

          sb.append(iterator.next());
        }
      }
      dummy ^= sb.toString().length();
    }
    return dummy;
  }

  /**
   * Only appends delimiter if the accumulated string is non-empty. Note: this isn't a candidate
   * implementation for Joiner since it fails on leading empty components.
   */
  @Benchmark
  int stringBuilderIsEmpty(int reps) {
    int dummy = 0;

          sb.append(iterator.next());
        }
      }
      dummy ^= sb.toString().length();
    }
    return dummy;
  }

  /**
   * Only appends delimiter if the accumulated string is non-empty. Note: this isn't a candidate
   * implementation for Joiner since it fails on leading empty components.
   */
  @Benchmark
  int stringBuilderIsEmpty(int reps) {
    int dummy = 0;

		// observations. This is to test the channel based
		// synchronization used internally.
		<-ticker.C
		ttfbHist.With(prometheus.Labels{"api": obs.label}).Observe(obs.val)
	}

	// Accumulate regular-cased API label metrics for 'PutObject' for deeper verification
	metrics := getHistogramMetrics(ttfbHist, getBucketTTFBDistributionMD(), false, false)
	capitalPutObjects := make([]MetricV2, 0, len(histBuckets)+1)

import java.util.concurrent.atomic.AtomicReference;

import org.apache.maven.api.cli.Logger;

import static java.util.Objects.requireNonNull;

/**
 * Early CLI {@link Logger} that simply accumulates log entries until some point a real logger can emit them. This
 * logger is created at start, and it exists while no logging is available yet.
 */
public class AccumulatingLogger implements Logger {

import java.util.Collection;
import java.util.HashSet;
import java.util.Set;

/**
 * Filter to only retain objects in the given scope or better. This implementation allows the accumulation of multiple
 * scopes and their associated implied scopes, so that the user can filter apply a series of implication rules in a