bitrotReaders := make([]io.ReaderAt, len(disks))
		for index, disk := range disks {
			if disk == OfflineDisk {
				continue
			}
			tillOffset := erasure.ShardFileOffset(test.offset, test.length, test.data)

			bitrotReaders[index] = newBitrotReader(disk, nil, "testbucket", "object", tillOffset, writeAlgorithm, bitrotWriterSum(writers[index]), erasure.ShardSize())
		}

		writer := bytes.NewBuffer(nil)

   * and ABSENT for empty positions.  We then look up the keys in alternatingKeysAndValues.
   *
   * (The index actually stored is the index of the key in alternatingKeysAndValues, which is
   * double the index of the entry in entrySet.asList.)
   *
   * The basic data structure is described in https://en.wikipedia.org/wiki/Open_addressing.

      @CheckForNull @Nullable ImmutableMapEntry<?, V>[] keyTable,
      int mask) {
    if (key == null || keyTable == null) {
      return null;
    }
    int index = Hashing.smear(key.hashCode()) & mask;
    for (ImmutableMapEntry<?, V> entry = keyTable[index];
        entry != null;
        entry = entry.getNextInKeyBucket()) {
      Object candidateKey = entry.getKey();

      /*

	// ParityBlocks is the number of parity blocks for erasure-coding
	ParityBlocks int `json:"parity"`
	// BlockSize is the size of one erasure-coded block
	BlockSize int64 `json:"blockSize"`
	// Index is the index of the current disk
	Index int `json:"index"`
	// Distribution is the distribution of the data and parity blocks
	Distribution []int `json:"distribution"`
	// Checksums holds all bitrot checksums of all erasure encoded blocks

        this.index = index;
        this.tookMs = tookMs;
        this.words = words;
        num = words.size();
        this.total = total;
        this.items = items;
    }

    public String getIndex() {
        return index;
    }

    public long getTookMs() {
        return tookMs;
    }

    public List<String> getWords() {
        return words;
    }

    public int getNum() {

    checkArgument(values.length > 0);
    double mean = values[0];
    for (int index = 1; index < values.length; index++) {
      double value = values[index];
      if (isFinite(value) && isFinite(mean)) {
        // Art of Computer Programming vol. 2, Knuth, 4.2.2, (15)
        mean += (value - mean) / (index + 1);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);
      }
    }

    }

    @Override
    public boolean hasNext() {
        return index < items.length;
    }

    @Override
    public T next() {
        try {
            final T o = items[index];
            index++;
            return o;
        } catch (final IndexOutOfBoundsException e) {
            throw new NoSuchElementException("index=" + index);
        }
    }

    @Override
    public void remove() {

        List<String> order = Lists.newArrayList();
        for (String s : insertionOrder) {
          int index = order.indexOf(s);
          if (index == -1) {
            order.add(s);
          } else {
            order.add(index, s);
          }
        }
        return order;
      }
    };
  }

  public void testCreate() {

				tx.AddError(rel.Field.Set(tx.Statement.Context, reflectValue.Index(i), reflect.MakeSlice(rel.Field.IndirectFieldType, 0, 10).Interface()))
			default:
				tx.AddError(rel.Field.Set(tx.Statement.Context, reflectValue.Index(i), reflect.New(rel.Field.FieldType).Interface()))
			}
		}
	}

	for i := 0; i < reflectResults.Len(); i++ {
		elem := reflectResults.Index(i)
		for idx, field := range relForeignFields {

    String getSource();

    /**
     * Gets the one-based index of the line containing the problem. The line number should refer to some text file that
     * is given by {@link #getSource()}.
     *
     * @return the one-based index of the line containing the problem or a non-positive value if unknown
     */
    int getLineNumber();

    /**