boolBuilder.add(new PrefixQuery(new Term("content", "search")), BooleanClause.Occur.SHOULD);
        boolBuilder.add(new WildcardQuery(new Term("url", "*.html")), BooleanClause.Occur.MUST_NOT);
        BooleanQuery boolQuery = boolBuilder.build();
        BoostQuery boostQuery = new BoostQuery(boolQuery, 5.5f);

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

     *
     * @param witnessServer the witness server address
     * @param context the CIFS context
     * @throws IOException if initialization fails
     */
    public WitnessClient(InetAddress witnessServer, CIFSContext context) throws IOException {
        this(witnessServer, context, new WitnessRpcClient(witnessServer, context));
    }

    /**

// license that can be found in the LICENSE file.

package tar

import (
	"bytes"
	"io"
	"path/filepath"
	"strconv"
	"strings"
	"time"
)

// Reader provides sequential access to the contents of a tar archive.
// Reader.Next advances to the next file in the archive (including the first),
// and then Reader can be treated as an io.Reader to access the file's data.
type Reader struct {
	r    io.Reader

     * Download the character mapping file for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param body download request payload
     * @return stream response with file content
     */
    // GET /api/admin/dict/mapping/download/{dictId}
    @Execute
    public StreamResponse get$download(final String dictId, final DownloadBody body) {
        body.dictId = dictId;

 * 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.fess.suggest.index.contents.document;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;

 * </ul>
 *
 * <p>This tool is particularly useful for identifying memory optimization opportunities
 * in large Maven multi-module projects where POM files may contain significant
 * duplicate content.</p>
 */
public class PomMemoryAnalyzer {
    private final Map<String, Map<String, StringStats>> pathStats = new HashMap<>();
    private final Map<String, Integer> globalStringFrequency = new HashMap<>();

    * `Path()`
    * `Query()`
    * `Header()`
    * `Cookie()`
* [`Request Body Object`, у полі `content`, у `Media Type Object` (у специфікації)](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#media-type-object), який використовувався утилітами FastAPI:
    * `Body()`
    * `File()`
    * `Form()`

    old_content = content_path.read_text(encoding="utf-8")

    new_content = yaml.dump(new_content, sort_keys=False, width=200, allow_unicode=True)
    if old_content == new_content:
        logging.info(f"The content hasn't changed for {content_path}")
        return False
    content_path.write_text(new_content, encoding="utf-8")
    logging.info(f"Updated {content_path}")
    return True


def main() -> None:

Então podemos declarar `tags` como um conjunto de strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

Com isso, mesmo que você receba uma requisição contendo dados duplicados, ela será convertida em um conjunto de itens exclusivos.

E sempre que você enviar esses dados como resposta, mesmo se a fonte tiver duplicatas, eles serão gerados como um conjunto de itens exclusivos.

import java.util.function.BinaryOperator;
import java.util.function.Function;
import java.util.stream.Collector;
import java.util.stream.Collectors;
import org.jspecify.annotations.Nullable;

/**
 * A {@link BiMap} whose contents will never change, with many other important properties detailed
 * at {@link ImmutableCollection}.
 *
 * @author Jared Levy
 * @since 2.0
 */
@GwtCompatible