import java.util.Iterator;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Set;

import org.apache.maven.artifact.Artifact;

/**
 * Apply multiple filters.
 *
 */
public class AndArtifactFilter implements ArtifactFilter {
    private Set<ArtifactFilter> filters;

    public AndArtifactFilter() {
        this.filters = new LinkedHashSet<>();
    }

import org.apache.maven.plugin.version.PluginVersionResolutionException;

/**
 * <p>
 * Calculates the task segments in the build
 * </p>
 * <strong>NOTE:</strong> This class is not part of any public api and can be changed or deleted without prior notice.
 *
 * @since 3.0
 */
public interface LifecycleTaskSegmentCalculator {
    List<TaskSegment> calculateTaskSegments(MavenSession session)

import java.util.HashMap;
import java.util.LinkedHashMap;

import org.apache.maven.lifecycle.Lifecycle;
import org.apache.maven.lifecycle.mapping.LifecyclePhase;

/**
 * Base lifecycle provider.
 */
public abstract class AbstractLifecycleProvider implements Provider<Lifecycle> {
    private final Lifecycle lifecycle;

    protected AbstractLifecycleProvider(String id, String[] phases, String[] pluginBindings) {

 *   <li>{@link #SuggestSettingsException(String, Throwable)}: Constructs a new exception with the specified detail message and cause.</li>
 * </ul>
 *
 * @see RuntimeException
 */
public class SuggestSettingsException extends RuntimeException {

    private static final long serialVersionUID = 1L;

    /**
     * Constructs a new SuggestSettingsException with the specified detail message.

import java.util.concurrent.TimeUnit;

@Warmup(iterations = 5)
@Measurement(iterations = 7)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@State(Scope.Thread)
@Fork(value = 1)
public class PagedBytesReferenceReadVIntBenchmark {

    @Param(value = { "10000000" })
    int entries;

    private StreamInput streamInput;

    @Setup
    public void initResults() throws IOException {

import java.util.concurrent.TimeUnit;

@Warmup(iterations = 5)
@Measurement(iterations = 7)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@State(Scope.Thread)
@Fork(value = 1)
public class PagedBytesReferenceReadVLongBenchmark {

    @Param(value = { "10000000" })
    int entries;

    private StreamInput streamInput;

    @Setup
    public void initResults() throws IOException {

import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.util.Properties;

// Define this here because we need it early.
public class VersionPropertiesLoader {
    static Properties loadBuildSrcVersion(File input, ProviderFactory providerFactory) throws IOException {
        Properties props = new Properties();
        InputStream is = new FileInputStream(input);

///

## Importer le `BaseModel` de Pydantic { #import-pydantics-basemodel }

Commencez par importer la classe `BaseModel` du module `pydantic` :

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Créer votre modèle de données { #create-your-data-model }

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :

 *
 * <p>Many methods provided by Guava's {@code Files} class for {@link java.io.File} instances are
 * now available via the JDK's {@link java.nio.file.Files} class for {@code Path} - check the JDK's
 * class if a sibling method from {@code Files} appears to be missing from this class.
 *
 * @since 33.4.0 (but since 21.0 in the JRE flavor)
 * @author Colin Decker
 */
@J2ktIncompatible

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.admin.relatedcontent;

/**
 * The search form for Related Content.
 */
public class SearchForm {

    /**
     * Default constructor for SearchForm.
     */
    public SearchForm() {
    }

    /**
     * The search term field for related content.
     */
    public String term;