* @param <T>
 *            要素の型
 * @see IndexedIterator
 */
public class Indexed<T> {

    /** 要素 */
    private final T element;

    /** 要素のインデックス */
    private final int index;

    /**
     * コンストラクタ
     *
     * @param element
     *            要素
     * @param index
     *            要素のインデックス
     */
    public Indexed(final T element, final int index) {
        this.element = element;

)

// a bucketMetacache keeps track of all caches generated
// for a bucket.
type bucketMetacache struct {
	// Name of bucket
	bucket string

	// caches indexed by id.
	caches map[string]metacache
	// cache ids indexed by root paths
	cachesRoot map[string][]string `msg:"-"`

	// Internal state
	mu      sync.RWMutex `msg:"-"`
	updated bool         `msg:"-"`
}

type deleteAllStorager interface {

        final List<String> list = newArrayList();
        list.add("aaa");
        list.add("bbb");
        list.add("ccc");
        for (final Indexed<String> indexed : indexed(list)) {
            System.out.println(indexed.getIndex());
            System.out.println(indexed.getElement());
        }
    }

    /**
     * @throws Exception
     */
    @Test
    public void testForEachLineIterator() throws Exception {

				})

				indexes[index.Name] = idx
			}
		}
	}
	for _, index := range indexes {
		if index.Class == "UNIQUE" && len(index.Fields) == 1 {
			index.Fields[0].Field.UniqueIndex = index.Name
		}
	}
	return indexes
}

func (schema *Schema) LookIndex(name string) *Index {
	if schema != nil {
		indexes := schema.ParseIndexes()
		for _, index := range indexes {

      return Quantiles.scale(scale).index(index).computeInPlace(dataset);
    }

    @Override
    Map<Integer, Double> multipleQuantiles(
        Collection<Integer> indexes, int scale, double[] dataset) {
      return Quantiles.scale(scale).indexes(indexes).computeInPlace(dataset);
    }
  },
  ;

  /**
   * Calculates a single quantile. Equivalent to {@code

    ImmutableSet<Integer> indexes = ImmutableSet.of(50, 90, 99);
    Map<Integer, Double> referenceQuantiles =
        REFERENCE_ALGORITHM.multipleQuantiles(indexes, 100, dataset.clone());
    assertThat(referenceQuantiles.keySet()).isEqualTo(indexes);
    for (QuantilesAlgorithm algorithm : NON_REFERENCE_ALGORITHMS) {
      Map<Integer, Double> quantiles = algorithm.multipleQuantiles(indexes, 100, dataset.clone());

    ImmutableSet<Integer> indexes = ImmutableSet.of(50, 90, 99);
    Map<Integer, Double> referenceQuantiles =
        REFERENCE_ALGORITHM.multipleQuantiles(indexes, 100, dataset.clone());
    assertThat(referenceQuantiles.keySet()).isEqualTo(indexes);
    for (QuantilesAlgorithm algorithm : NON_REFERENCE_ALGORITHMS) {
      Map<Integer, Double> quantiles = algorithm.multipleQuantiles(indexes, 100, dataset.clone());

 *
 * b2b3s2 is the offset into the ranges data. It is shifted by 2 because ranges are 4-byte aligned.
 *
 * Mappings Data (4,719 bytes)
 * ===========================
 *
 * This is UTF-8 character data. It is indexed into by b2b3 in the ranges dataset.
 *
 * Mappings may overlap.
 *
 * ASCII-Only
 * ==========
 *
 * Neither the section index nor the ranges data use bit 0x80 anywhere. That means the data is

--- Web/FileSystem Indexer ---
Exec Time:  /*pmb.webFsIndexExecTime:orElse('-')*/ ms
Num of Doc: /*pmb.webFsIndexSize:orElse('-')*/ docs

--- Data Store Crawler ---
Start Time: /*pmb.dataCrawlStartTime:orElse('-')*/
End Time:   /*pmb.dataCrawlEndTime:orElse('-')*/
Exec Time:  /*pmb.dataCrawlExecTime:orElse('-')*/ ms

--- Data Store Indexer ---
Exec Time:  /*pmb.dataIndexExecTime:orElse('-')*/ ms

        if (parameterTypes == null) {
            return desc;
        }
        final ParameterizedClassDesc[] parameterDescs = new ParameterizedClassDesc[parameterTypes.length];
        for (final Indexed<Type> parameterType : indexed(iterable(parameterTypes))) {
            parameterDescs[parameterType.getIndex()] = createParameterizedClassDesc(parameterType.getElement(), map);
        }
        desc.setArguments(parameterDescs);