assertTrue(keywords.contains("query"));
    }

    @Test
    public void testGetTermQueryList() {
        // Test with TermQuery
        Term term = new Term("content", "test");
        TermQuery termQuery = new TermQuery(term);
        String[] fields = { "content" };
        List<TermQuery> queryList = SuggestUtil.getTermQueryList(termQuery, fields);
        assertNotNull(queryList);

                    final String term = termTokenList.get(i).getTerm();
                    String reading = readingTokenList.get(i).getTerm();
                    if (Strings.isNullOrEmpty(reading)) {
                        reading = term;
                    }
                    reading = transliterator.transliterate(reading);

                    final int pos = text.indexOf(term, offset);
                    if (pos > 0) {

pkg go/types, method (*Signature) RecvTypeParams() *TypeParamList
pkg go/types, method (*Signature) TypeParams() *TypeParamList
pkg go/types, method (*Term) String() string
pkg go/types, method (*Term) Tilde() bool
pkg go/types, method (*Term) Type() Type
pkg go/types, method (*TypeList) At(int) Type
pkg go/types, method (*TypeList) Len() int
pkg go/types, method (*TypeParam) Constraint() Type

            while (stream.incrementToken()) {
                final CharTermAttribute att = stream.getAttribute(CharTermAttribute.class);
                final String term = att.toString();
                final int pos = inputStr.indexOf(term, offset);
                if (pos > 0) {
                    final String tmp = inputStr.substring(offset, pos);
                    kanaBuf.append(transliterator.transliterate(tmp));

     * Sets the maximum size of an alpha-numeric term.
     * @param maxAlphanumTermSize The max size of an alpha-numeric term.
     */
    public void setMaxAlphanumTermSize(final int maxAlphanumTermSize) {
        this.maxAlphanumTermSize = maxAlphanumTermSize;
    }

    /**
     * Sets the maximum size of a symbol term.
     * @param maxSymbolTermSize The max size of a symbol term.
     */

 * <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>
 * <li>{@link #ANALYZER_SETTINGS_CONTENTS_ANALYZER} - The contents analyzer settings field.</li>

          Exceptions and Limitations apply to Your use, this Public
          License does not apply, and You do not need to comply with
          its terms and conditions.

       3. Term. The term of this Public License is specified in Section
          6(a).

       4. Media and formats; technical modifications allowed. The
          Licensor authorizes You to exercise the Licensed Rights in

        }

        private String convertToJapaneseReading(String term) {
            // Simple simulation of Japanese reading conversion
            if ("東京".equals(term)) {
                return "トウキョウ";
            } else if ("大阪".equals(term)) {
                return "オオサカ";
            } else {
                return term.toUpperCase();
            }
        }
    }

    /**

# Do not print anything if this is not being used interactively
[ -z "$PS1" ] && return

# Set up attractive prompt
export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > "
export TERM=xterm-256color
alias grep="grep --color=auto"
alias ls="ls --color=auto"
# Fix nvidia-docker

* Puedes obtener metadatos del archivo subido.
* Tiene una interfaz `async` <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">parecida a un archivo</a>.