</component>
	<component name="urlFilterService" class="org.codelibs.fess.crawler.service.impl.UrlFilterServiceImpl" instance="prototype" >
	</component>

	<!-- Helper -->
	<component name="dataHelper" class="org.codelibs.fess.crawler.helper.MemoryDataHelper" instance="singleton" >
	</component>

import org.codelibs.fess.es.config.exentity.ElevateWord;
import org.codelibs.fess.exception.FessSystemException;
import org.codelibs.fess.helper.PermissionHelper;
import org.codelibs.fess.helper.SuggestHelper;
import org.codelibs.fess.helper.SystemHelper;
import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.RenderDataUtil;
import org.dbflute.optional.OptionalEntity;

  static <E extends @Nullable Object> Collection<E> filterCollection(
      Collection<E> collection, Predicate<? super E> predicate) {
    if (collection instanceof Set) {
      return Sets.filter((Set<E>) collection, predicate);
    } else {
      return Collections2.filter(collection, predicate);
    }
  }

  @Override
  public boolean containsKey(@CheckForNull Object key) {
    return asMap().get(key) != null;
  }

  @Override

# Body – Verschachtelte Modelle

Mit **FastAPI** können Sie (dank Pydantic) beliebig tief verschachtelte Modelle definieren, validieren und dokumentieren.

## Listen als Felder

Sie können ein Attribut als Kindtyp definieren, zum Beispiel eine Python-`list`e.

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="14"

        // set function score
        final QueryBuilder queryBuilder = buildFunctionScoreQuery(query, q);
        builder.addSort("_score", SortOrder.DESC);

        // set filter query.
        final List<QueryBuilder> filterList = new ArrayList<>(10);
        if (!tags.isEmpty()) {
            filterList.add(buildFilterQuery(FieldNames.TAGS, tags));
        }

import org.codelibs.fess.exception.ContentNotFoundException;
import org.codelibs.fess.helper.CrawlingConfigHelper;
import org.codelibs.fess.helper.CrawlingInfoHelper;
import org.codelibs.fess.helper.DuplicateHostHelper;
import org.codelibs.fess.helper.IndexingHelper;
import org.codelibs.fess.helper.PermissionHelper;
import org.codelibs.fess.helper.SystemHelper;
import org.codelibs.fess.mylasta.direction.FessConfig;

   * value returned by this method is the {@code i} in that range such that {@code allRequired[i]}
   * is as close as possible to the center of the range [{@code from}, {@code to}]. Choosing the
   * value closest to the center of the range first is the most efficient strategy because it
   * minimizes the size of the subranges from which the remaining selections must be done.
   */

    void testEquals() {
        AndArtifactFilter filter1 = new AndArtifactFilter();

        AndArtifactFilter filter2 = new AndArtifactFilter(Arrays.asList(newSubFilter()));

        assertFalse(filter1.equals(null));
        assertTrue(filter1.equals(filter1));
        assertEquals(filter1.hashCode(), filter1.hashCode());

        assertFalse(filter1.equals(filter2));
        assertFalse(filter2.equals(filter1));
    }

    }

    // TODO return result
    public SuggestIndexResponse index(final SuggestItem[] items) {
        // TODO parallel?
        final SuggestItem[] array = Stream.of(items).filter(item -> !item.isBadWord(badWords)).toArray(n -> new SuggestItem[n]);

        try {
            final long start = System.currentTimeMillis();

      "$prefix/samples/guide/src/main/java/okhttp3/recipes",
      "$prefix/samples/guide/src/main/java/okhttp3/recipes/kt",
    ).map { File(it) }

  return directories.flatMap {
    it.listFiles().orEmpty().filter { f -> f.isFile }.toList()
  }
}

internal class MainTestProvider : SimpleProvider() {
  override fun arguments(): List<Any> {
    val mainFiles = mainFiles()
    return mainFiles.map {