this.userBoost = userBoost;
    }

    /**
     * Sets the readings of the suggest item.
     * @param readings The readings to set.
     */
    public void setReadings(final String[][] readings) {
        this.readings = readings;
    }

    /**
     * Sets the fields of the suggest item.
     * @param fields The fields to set.
     */

        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()));

        final long timestamp = Long.parseLong(source.get(FieldNames.TIMESTAMP).toString());

        final SuggestItem item = new SuggestItem();
        item.setText(text);
        item.setReadings(readings.toArray(new String[readings.size()][]));
        item.setFields(fields.toArray(new String[fields.size()]));
        item.setDocFreq(docFreq);
        item.setQueryFreq(queryFreq);

        assertEquals(elevateWord1.getReadings().get(0), settings.elevateWord().get()[0].getReadings().get(0));

        assertEquals(elevateWord2.getElevateWord(), settings.elevateWord().get()[1].getElevateWord());
        assertEquals(elevateWord2.getBoost(), settings.elevateWord().get()[1].getBoost(), 0);
        assertEquals(elevateWord2.getReadings().get(0), settings.elevateWord().get()[1].getReadings().get(0));

        };

        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

                    if (elevateWord == null) {
                        elevateWord = new ElevateWord();
                        elevateWord.setSuggestWord(suggestWord);
                        elevateWord.setReading(reading);
                        elevateWord.setPermissions(permissions);
                        elevateWord.setBoost(StringUtil.isBlank(boost) ? 1.0f : Float.parseFloat(boost));

        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());

                "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)),
                "suggestWord");

            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);