* Note that this node will not be filtered and only the children
     * and its descendant will be checked.
     *
     * @param filter the filter to apply
     * @return a new filtered graph
     */
    @Nonnull
    Node filter(@Nonnull Predicate<Node> filter);

    /**
     * Returns a detailed string representation of this dependency node.
     * <p>

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

    @Override
    public boolean include(Artifact artifact) {
        for (ArtifactFilter filter : filters) {
            if (filter.include(artifact)) {
                return true;
            }
        }

        return false;
    }

    public void add(ArtifactFilter artifactFilter) {

import org.apache.maven.artifact.resolver.ResolutionListenerForDepMgmt;
import org.apache.maven.artifact.resolver.ResolutionNode;
import org.apache.maven.artifact.resolver.filter.AndArtifactFilter;
import org.apache.maven.artifact.resolver.filter.ArtifactFilter;
import org.apache.maven.artifact.versioning.ArtifactVersion;
import org.apache.maven.artifact.versioning.ManagedVersionMap;

        "tokenizer" : "fess_japanese_normal",
        "filter" : ["reading_form"]
      },
      "reading_term_analyzer" : {
        "type" : "custom",
        "tokenizer" : "fess_japanese_normal"
      },
      "normalize_analyzer" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],
        "filter" : ["lowercase"]
      },
      "contents_analyzer" : {

        "tokenizer" : "fess_japanese_normal",
        "filter" : ["reading_form"]
      },
      "reading_term_analyzer" : {
        "type" : "custom",
        "tokenizer" : "fess_japanese_normal"
      },
      "normalize_analyzer" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],
        "filter" : ["lowercase"]
      },
      "contents_analyzer" : {

import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.Constants;
import org.opensearch.search.aggregations.Aggregations;
import org.opensearch.search.aggregations.bucket.filter.Filter;
import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.

# WSGI inkludieren – Flask, Django und andere

Sie können WSGI-Anwendungen mounten, wie Sie es in [Unteranwendungen – Mounts](sub-applications.md){.internal-link target=_blank}, [Hinter einem Proxy](behind-a-proxy.md){.internal-link target=_blank} gesehen haben.

Dazu können Sie die `WSGIMiddleware` verwenden und damit Ihre WSGI-Anwendung wrappen, zum Beispiel Flask, Django usw.

## `WSGIMiddleware` verwenden

Sie müssen `WSGIMiddleware` importieren.

            }

            if (build.getFilters() != null) {
                List<String> filters = new ArrayList<>();
                for (String filter : build.getFilters()) {
                    filters.add(alignToBaseDirectory(filter, basedir));
                }
                build.setFilters(filters);
            }

                }
            }

            final DuplicateHostHelper duplicateHostHelper = ComponentUtil.getDuplicateHostHelper();

            // set urls
            split(urlsStr, "[\r\n]").of(stream -> stream.filter(StringUtil::isNotBlank).map(String::trim).distinct().forEach(urlValue -> {
                if (!urlValue.startsWith("#") && protocolHelper.isValidWebProtocol(urlValue)) {

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			</c:if>
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