assertEquals("word3", stopwordsFile.stopwordsItemList.get(2).getInput());
    }

    @Test
    public void test_reload_withEscapedCharacters() {
        String content = "word\\\\1\n" + // word\1
                "word\\\\\\\\2\n" + // word\\2
                "word3\n";

        InputStream is = new ByteArrayInputStream(content.getBytes(StandardCharsets.UTF_8));

    @Test
    public void test_equals() {
        // Test equals method
        ProtwordsItem item1 = new ProtwordsItem(1, "word");
        ProtwordsItem item2 = new ProtwordsItem(2, "word");
        ProtwordsItem item3 = new ProtwordsItem(1, "different");
        ProtwordsItem item4 = new ProtwordsItem(1, "word");

        // Same object
        assertTrue(item1.equals(item1));

        // Same input, different id

        conditions.put("q", new String[] { "search term" });
        conditions.put("epq", new String[] { "exact phrase" });
        conditions.put("oq", new String[] { "word1 word2" });
        conditions.put("nq", new String[] { "exclude" });
        conditions.put("filetype", new String[] { "pdf" });
        conditions.put("sitesearch", new String[] { "example.com" });

        StopwordsItem item = new StopwordsItem(123, "word");
        assertEquals("StopwordsItem [id=123, inputs=word, newInputs=null]", item.toString());

        item.setNewInput("updated");
        assertEquals("StopwordsItem [id=123, inputs=word, newInputs=updated]", item.toString());

        item.setNewInput("");
        assertEquals("StopwordsItem [id=123, inputs=word, newInputs=]", item.toString());
    }

    @Test

labels.suggest_word_configuration=Suggest Word
labels.suggest_word_title_details=Suggest Word
labels.suggest_word_type=Word Type
labels.suggest_word_number=Number of Words
labels.suggest_word_type_all=All
labels.suggest_word_type_document=Document
labels.suggest_word_type_query=Query
labels.elevate_word_configuration=Elevate Word
labels.elevate_word_title_details=Elevate Word
labels.elevate_word_link_list=List

labels.suggest_word_configuration=Suggest Word
labels.suggest_word_title_details=Suggest Word
labels.suggest_word_type=Word Type
labels.suggest_word_number=Number of Words
labels.suggest_word_type_all=All
labels.suggest_word_type_document=Document
labels.suggest_word_type_query=Query
labels.elevate_word_configuration=Elevate Word
labels.elevate_word_title_details=Elevate Word
labels.elevate_word_link_list=List

    /** The key of the message: Suggest Word */
    public static final String LABELS_menu_suggest_word = "{labels.menu_suggest_word}";

    /** The key of the message: Elevate Word */
    public static final String LABELS_menu_elevate_word = "{labels.menu_elevate_word}";

    /** The key of the message: Bad Word */
    public static final String LABELS_menu_bad_word = "{labels.menu_bad_word}";

        // Test with long phrase (many terms)
        PhraseQuery.Builder builder = new PhraseQuery.Builder();
        String[] words = { "this", "is", "a", "very", "long", "phrase", "query" };
        for (String word : words) {
            builder.add(new Term(Constants.DEFAULT_FIELD, word));
        }
        PhraseQuery phraseQuery = builder.build();

        QueryContext context = new QueryContext("test", false);

            return FormatType.LABEL;
        }
        if ("popular-words".equals(type)) {
            return FormatType.POPULARWORD;
        }
        if ("favorites".equals(type)) {
            return FormatType.FAVORITES;
        }
        if ("health".equals(type)) {
            return FormatType.PING;
        }
        if ("suggest-words".equals(type)) {
            return FormatType.SUGGEST;
        }

# Seed value for popular word suggestion.
suggest.popular.word.seed=0
# Tags for popular word suggestion.
suggest.popular.word.tags=
# Fields for popular word suggestion.
suggest.popular.word.fields=
# Excluded words for popular word suggestion.
suggest.popular.word.excludes=
# Number of popular words to suggest.
suggest.popular.word.size=10
# Window size for popular word suggestion.