}

    /**
     * Converts a Lucene BooleanQuery to an OpenSearch BoolQueryBuilder.
     * @param context The query context.
     * @param booleanQuery The boolean query to convert.
     * @param boost The boost factor to apply.
     * @return The converted BoolQueryBuilder.
     */
    protected QueryBuilder convertBooleanQuery(final QueryContext context, final BooleanQuery booleanQuery, final float boost) {

// Currently it's a no-op.
func (gcs *warmBackendGCS) Put(ctx context.Context, key string, data io.Reader, length int64) (remoteVersionID, error) {
	return gcs.PutWithMeta(ctx, key, data, length, map[string]string{})
}

func (gcs *warmBackendGCS) Get(ctx context.Context, key string, rv remoteVersionID, opts WarmBackendGetOpts) (r io.ReadCloser, err error) {

import static org.codelibs.core.misc.AssertionUtil.assertArgumentNotNull;

import java.util.Enumeration;
import java.util.Iterator;

import org.codelibs.core.exception.ClUnsupportedOperationException;

/**
 * Adapter to convert an {@link Enumeration} to an {@link Iterator}.
 *
 * @author shot
 * @param <T> the element type
 */
public class EnumerationIterator<T> implements Iterator<T> {

    private Enumeration<T> enumeration = null;

                .result());
    }

    /**
     * Creates a ListBody from a DictionaryFile for API responses.
     *
     * @param dictionaryFile the dictionary file to convert
     * @return the converted ListBody object
     */
    protected ListBody createListBody(final DictionaryFile<? extends DictionaryItem> dictionaryFile) {
        final ListBody body = new ListBody();

## Examples

### Configuring connection limit

You couldn't get this kind of editor support if you were working directly with `dict` instead of Pydantic models.

But you don't have to worry about them either, incoming dicts are converted automatically and your output is converted automatically to JSON too.

## Bodies of arbitrary `dict`s { #bodies-of-arbitrary-dicts }

You can also declare a body as a `dict` with keys of some type and values of some other type.

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.convert;

import java.text.DecimalFormatSymbols;
import java.util.Locale;

import junit.framework.TestCase;

import org.codelibs.core.misc.LocaleUtil;

/**
 * @author shot
 *
 */

	// Holds info about when the entry was created first.
	CreationDate time.Time `json:"creationDate"`

	// When a SRV record with a "Host: IP-address" is added, we synthesize
	// a srv.Target domain name.  Normally we convert the full Key where
	// the record lives to a DNS name and use this as the srv.Target. When
	// TargetStrip > 0 we strip the left most TargetStrip labels from the
	// DNS name.
	TargetStrip int `json:"targetstrip,omitempty"`

        super(
                "Extension " + extension.getId() + " or one of its dependencies could not be resolved: "
                        + cause.getMessage(),
                cause);
        // Convert to old type
        CoreExtension oldExtension = new CoreExtension();
        oldExtension.setGroupId(extension.getGroupId());
        oldExtension.setArtifactId(extension.getArtifactId());

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package csv

import (
	"bytes"
	"io"
)

// recordTransform will convert records to always have newline records.
type recordTransform struct {
	reader io.Reader
	// recordDelimiter can be up to 2 characters.
	recordDelimiter []byte
	oneByte         []byte
	useOneByte      bool
}