* <li>{@link #ANALYZER_SETTINGS_FIELD_NAME} - The analyzer settings field name.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_ANALYZER} - The reading analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_TERM_ANALYZER} - The reading term analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_NORMALIZE_ANALYZER} - The normalize analyzer settings field.</li>

        final Map<String, Object> secondLine = new HashMap<>();

        secondLine.put("text", item.getText());

        // reading
        final String[][] readings = item.getReadings();
        for (int i = 0; i < readings.length; i++) {
            secondLine.put("reading_" + i, readings[i]);
        }

        secondLine.put("fields", item.getFields());
        secondLine.put("queryFreq", item.getQueryFreq());

    // Tests for reading arrays edge cases
    // ============================================================

    @Test
    public void test_manyReadingsForOneWord() {
        String[] text = { "test" };
        String[][] readings = { { "reading1", "reading2", "reading3", "reading4", "reading5", "reading6", "reading7", "reading8",
                "reading9", "reading10" } };

    }

    @Test
    public void testMultipleReadingsConversion() {
        // Test conversion of multiple readings to SuggestItem format
        String word = "multi reading";
        float boost = 1.0f;
        List<String> readings = Arrays.asList("reading1", "reading2", "reading3", "reading4", "reading5");
        List<String> fields = Arrays.asList("field1");
        List<String> tags = Arrays.asList("tag1");

    protected void setUp() throws Exception {
        file1 = File.createTempFile("kuromoji_", ".txt");
        FileUtil.write(
                file1.getAbsolutePath(),
                "token1,seg1,reading1,pos1\ntoken2,seg2,reading2,pos2\ntoken3,seg3,reading3,pos3"
                        .getBytes(Constants.UTF_8));
    }

    @Override
        protected void tearDown(TestInfo testInfo) throws Exception {
        file1.delete();
    }

        String[][] readings = { { "reading1" }, { "reading2" } };
        String[] fields = { "field1", "field2" };
        String[] tags = { "tag1", "tag2" };
        String[] roles = { "role1", "role2" };
        String[] languages = { "en", "ja" };
        SuggestItem.Kind kind = SuggestItem.Kind.QUERY;

        SuggestItem item = new SuggestItem(text, readings, fields, 100L, 50L, 1.5f, tags, roles, languages, kind);

        // Multiple spaces should be collapsed to single space
        assertTrue("Should query reading_0", queryString.contains("reading_0"));
        assertTrue("Should query reading_1", queryString.contains("reading_1"));
        // Should NOT have reading_2 (spaces collapsed)
        assertFalse("Should not have reading_2", queryString.contains("reading_2"));
    }

    @Test
    public void test_buildQuery_withNormalizer() {

    }

    @Test
    public void testCreateBulkLineWithMultipleReadings() {
        // Test with multiple reading levels
        SuggestItem item = new SuggestItem(new String[] { "test" },
                new String[][] { { "reading1a", "reading1b" }, { "reading2a", "reading2b" }, { "reading3" } }, new String[] { "field1" }, 5,

        String field = "content";

        List<String> readings1 = converter1.convert(text, field, "en");
        List<String> readings2 = converter2.convert(text, field, "ja");

        assertNotNull(readings1);
        assertNotNull(readings2);
        assertEquals("TEST", readings1.get(0));
        assertEquals("TEST", readings2.get(0));
    }

    @Test

        String[][] readings = { { "reading1" } };
        String[] fields = { "field1" };
        String[] tags = { "tag1" };
        String[] roles = { "role1" };
        String[] languages = { "en" };
        long docFreq = 10L;
        long queryFreq = 5L;
        float userBoost = 1.5f;

        SuggestItem item =