}

    /**
     * Indexes multiple suggest items.
     * @param items The suggest items to index.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse index(final SuggestItem[] items) {
        // TODO parallel?
        final SuggestItem[] array = Stream.of(items).filter(item -> !item.isBadWord(badWords)).toArray(n -> new SuggestItem[n]);

        try {

                    readings[0] = l.toArray(new String[l.size()]);

                    if (items == null) {
                        items = new ArrayList<>(text.length() * fields.length / field.length());
                    }

                    final String[] langs = lang == null ? new String[] {} : new String[] { lang };
                    items.add(new SuggestItem(words, readings, new String[] { field }, 1L, 0, -1, tags, roles, langs,

            items.add(new SuggestItem(new String[] { "マルチワード" + i, "fuga" }, readings, new String[] { "content" }, 0, 15 + i, -1, tags,
                    roles, null, SuggestItem.Kind.QUERY));
        }

        return items.toArray(new SuggestItem[items.size()]);
    }

    private SuggestItem[] getItemSet2() {
        List<SuggestItem> items = new ArrayList<>();

        {

        assertEquals(75L, merged.getDocFreq()); // Sum of frequencies
        assertEquals(1.5f, merged.getUserBoost(), 0.001f); // Takes item2's boost

        // Check merged arrays contain both items' values
        assertTrue(merged.getTags().length >= 2);
        assertTrue(merged.getRoles().length >= 2);
        assertTrue(merged.getLanguages().length >= 2);
        assertEquals(2, merged.getKinds().length);
    }

            if (!list.contains(kind)) {
                list.add(kind);
            }
        }
        return list.toArray(new Kind[list.size()]);
    }

    /**
     * Merges two suggest items.
     * @param item1 The first suggest item.
     * @param item2 The second suggest item.
     * @return The merged suggest item.
     */