// Simulate Japanese reading conversion
                        testToken.setReading(convertToJapaneseReading(testToken.getTerm()));
                    } else {
                        // Default: uppercase for reading
                        testToken.setReading(testToken.getTerm().toUpperCase());
                    }
                }
            }

            return tokens;

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/**
 * Static utilities for the eight primitive types and {@code void}, and value types for treating
 * them as unsigned or storing them in immutable arrays.
 *
 * <p>This package is a part of the open-source <a href="https://github.com/google/guava">Guava</a>
 * library.
 *
 * <p>See the Guava User Guide article on <a

import jakarta.validation.constraints.Size;

/**
 * Form class for creating new stemmer override dictionary entries.
 * This form handles the creation of stemmer override rules that modify
 * the stemming behavior for specific words.
 *
 */
public class CreateForm {

    /**
     * Creates a new CreateForm instance.
     */
    public CreateForm() {
    }

      throw IllegalStateException("Unable to load $path resource.").apply {
        initCause(readFailure)
      }
    }
  }

  abstract val path: Any

  /**
   * Reads the public suffix list treating the operation as uninterruptible. We always want to read
   * the list otherwise we'll be left in a bad state. If the thread was interrupted prior to this
   * operation, it will be re-interrupted after the list is read.
   */

                    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));

        this.permissions = value;
    }

    public String getReading() {
        checkSpecifiedProperty("reading");
        return convertEmptyToNull(reading);
    }

    public void setReading(String value) {
        registerModifiedProperty("reading");
        this.reading = value;
    }

    public String getSuggestWord() {
        checkSpecifiedProperty("suggestWord");

            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setPermissions(toStringArray(source.get("permissions")));
            result.setReading(DfTypeUtil.toString(source.get("reading")));
            result.setSuggestWord(DfTypeUtil.toString(source.get("suggestWord")));
            result.setUpdatedBy(DfTypeUtil.toString(source.get("updatedBy")));

                "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);

 * and processing them according to specific rules. The main functionality is encapsulated
 * within the nested {@link TextNormalizeContext} class.
 *
 * <p>The text normalization process includes:
 * <ul>
 *   <li>Treating ISO control characters and specified space characters as spaces.</li>
 *   <li>Appending alphanumeric characters (0-9, A-Z, a-z) to the buffer.</li>
 *   <li>Appending symbol characters (!-/, :-@, [-`, {-~) to the buffer.</li>