setupEpg(_epgMap, et -> ((ElevateWord) et).getPermissions(), (et, vl) -> ((ElevateWord) et).setPermissions((String[]) vl),
                "permissions");
        setupEpg(_epgMap, et -> ((ElevateWord) et).getReading(), (et, vl) -> ((ElevateWord) et).setReading(DfTypeUtil.toString(vl)),
                "reading");
        setupEpg(_epgMap, et -> ((ElevateWord) et).getSuggestWord(), (et, vl) -> ((ElevateWord) et).setSuggestWord(DfTypeUtil.toString(vl)),

        assertEquals(1, kuromojiItem.getId());
        assertEquals("t1", kuromojiItem.getToken());
        assertEquals("s1", kuromojiItem.getSegmentation());
        assertEquals("r1", kuromojiItem.getReading());
        assertEquals("p1", kuromojiItem.getPos());
        assertNull(kuromojiItem.getNewToken());
        assertNull(kuromojiItem.getNewSegmentation());
        assertNull(kuromojiItem.getNewReading());

                            .sorted()
                            .collect(Collectors.joining(","));
                    addToList(list, entity.getSuggestWord());
                    addToList(list, entity.getReading());
                    addToList(list, permissions);
                    addToList(list, labels);
                    addToList(list, entity.getBoost());
                    try {

        });

        for (final ElevateWord elevateWord : list) {
            addElevateWord(elevateWord.getSuggestWord(), elevateWord.getReading(), elevateWord.getLabelTypeValues(),
                    elevateWord.getPermissions(), elevateWord.getBoost(), apply);
        }
        refresh();
    }

    /**

        };

        SuggestItem item = new SuggestItem(text, readings, null, 0L, 0L, 1.0f, null, null, null, SuggestItem.Kind.QUERY);

        assertEquals(3, item.getReadings()[0].length);
        assertEquals(1, item.getReadings()[1].length);
        assertEquals(2, item.getReadings()[2].length);
    }

    // ============================================================
    // Tests for frequency edge cases

        final String[][] mergedReadings = new String[readingsLength][];
        for (int i = 0; i < readingsLength; i++) {
            mergedReadings[i] = mergeReadings(item1.getReadings(), item2.getReadings(), i);
        }
        mergedItem.setReadings(mergedReadings);

        // Merge arrays maintaining uniqueness
        mergedItem.setFields(mergeStringArrays(item1.getFields(), item2.getFields()));

    public static Map<String, Object> toSource(final SuggestItem item) {
        final Map<String, Object> map = new HashMap<>();
        map.put(FieldNames.TEXT, item.getText());

        final String[][] readings = item.getReadings();
        for (int i = 0; i < readings.length; i++) {
            final String[] values = readings[i] == null ? null : Arrays.stream(readings[i]).distinct().toArray(n -> new String[n]);

        final String normalizedWord = normalizer.normalize(elevateWord.getElevateWord(), "");
        final List<String> normalizedReadings =
                elevateWord.getReadings().stream().map(reading -> normalizer.normalize(reading, "")).collect(Collectors.toList());
        final ElevateWord normalized = new ElevateWord(normalizedWord, elevateWord.getBoost(), normalizedReadings, elevateWord.getFields(),

        source.put(FieldNames.ARRAY_VALUE, elevateWord.getElevateWord());
        source.put(ELEVATE_WORD_BOOST, elevateWord.getBoost());
        source.put(ELEVATE_WORD_READING, elevateWord.getReadings());
        source.put(ELEVATE_WORD_FIELDS, elevateWord.getFields());
        source.put(ELEVATE_WORD_TAGS, elevateWord.getTags());
        source.put(ELEVATE_WORD_ROLES, elevateWord.getRoles());

            List<ElevateWord> elevateWordList = new ArrayList<>();
            ElevateWord elevateWord = new ElevateWord();
            elevateWord.setSuggestWord("test");
            elevateWord.setReading("test");
            elevateWord.setLabelTypeIds(new String[] { "label1" });
            elevateWord.setPermissions(new String[] { "role1" });
            elevateWord.setBoost(1.0f);