import org.opensearch.common.unit.Fuzziness;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

/**
 * Query command implementation for handling fuzzy search queries.
 * This class converts Lucene FuzzyQuery objects into OpenSearch fuzzy query builders,
 * supporting configurable fuzzy matching parameters like edit distance and expansions.
 *
 */
public class FuzzyQueryCommand extends QueryCommand {

	h.mu.RLock()
	defer h.mu.RUnlock()

	b, err := json.MarshalIndent(h, "", "  ")
	if err != nil {
		writer.Write([]byte(err.Error()))
		return
	}
	writer.Write(b)
}

// toHealingDisk converts the information to madmin.HealingDisk
func (h *healingTracker) toHealingDisk() madmin.HealingDisk {
	h.mu.RLock()
	defer h.mu.RUnlock()

	return madmin.HealingDisk{
		ID:                h.ID,

import org.opensearch.index.query.RangeQueryBuilder;

/**
 * Command class for handling term range query execution and conversion.
 * This class processes Lucene TermRangeQuery objects and converts them to OpenSearch QueryBuilder instances.
 */
public class TermRangeQueryCommand extends QueryCommand {
    private static final Logger logger = LogManager.getLogger(TermRangeQueryCommand.class);

    /**

    public static String toHexString(final int val, final int size) {
        final char[] c = new char[size];
        toHexChars(val, c, 0, size);
        return new String(c);
    }

    /**
     * Converts a long value to a hexadecimal string representation with specified padding.
     *
     * @param val the long value to convert to hexadecimal

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.

 *
 * @author higa
 */
public abstract class NumberConversionUtil {

    /**
     * Do not instantiate.
     */
    protected NumberConversionUtil() {
    }

    /**
     * Converts to the appropriate {@link Number}.
     *
     * @param type
     *            Target type
     * @param o
     *            Source object
     * @return {@link Number} converted to {@literal type}
     */

        assertArgumentNotEmpty("key", key);

        try {
            return bundle.getString(key);
        } catch (final Throwable t) {
            return null;
        }
    }

    /**
     * Converts the resource bundle to a {@link Map}.
     *
     * @param bundle the resource bundle (must not be {@literal null})
     * @return {@link Map}
     */

                }
            } catch (final IOException e) {
                logger.warn("Failed to send {} to {}.", body, url, e);
            }
        }));
    }

    /**
     * Converts the discloser to a Slack message format.
     *
     * @param discloser the mail posting discloser
     * @return the formatted Slack message
     */

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

Esto sigue siendo soportado gracias a **Pydantic**, ya que tiene <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">soporte interno para `dataclasses`</a>.

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

Isso ainda é suportado graças ao **Pydantic**, pois ele tem <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">suporte interno para `dataclasses`</a>.