*
     * @param writer the Writer to output CSV data to
     */
    public void exportCsv(final Writer writer) {
        final CsvConfig cfg = new CsvConfig(',', '"', '"');
        cfg.setEscapeDisabled(false);
        cfg.setQuoteDisabled(false);
        @SuppressWarnings("resource")
        final CsvWriter csvWriter = new CsvWriter(writer, cfg);
        try {

 */
package org.apache.maven;

import java.util.Set;

import org.apache.maven.artifact.resolver.filter.ArtifactFilter;

/**
 * ArtifactFilterManager
 */
@Deprecated
public interface ArtifactFilterManager {
    /**
     * Returns a filter for core + extension artifacts.
     *
     * @return the artifact filter
     * @deprecated use {@code META-INF/maven/extension.xml} to define artifacts exported by Maven core and plugin

        // Should work with permissive filter
        final TestSerializableClass result = (TestSerializableClass) SerializeUtil.fromBinaryToObject(binary, permissiveFilter);
        assertEquals(obj.name, result.name);
        assertEquals(obj.value, result.value);
    }

    /**
     * Test null filter disables filtering
     *
     * @throws Exception
     */

        "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" : {

          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "arabic_stop",
            "arabic_normalization",
            "arabic_keywords",
            "arabic_override",
            "arabic_stemmer"
          ]
        },
        "armenian_analyzer": {
          "tokenizer":  "standard",
          "filter": [
            "truncate20_filter",

	}{
		// Test case - 1.
		// Filter contains more than (Prefix,Tag,And) rule
		{
			method:             http.MethodPut,
			bucketName:         bucketName,
			accessKey:          creds.AccessKey,
			secretKey:          creds.SecretKey,

                unfiltered.add("zzz");
                unfiltered.add("abc");
                return Collections2.filter(Collections2.filter(unfiltered, LENGTH_1), NOT_YYY_ZZZ);
              }
            })
        .named("Collections2.filter, filtered input")
        .withFeatures(
            CollectionFeature.SUPPORTS_ADD,
            CollectionFeature.SUPPORTS_REMOVE,

                int searchAttributes, FileEntry initial, List<FileEntry[]> pages) throws CIFSException {
            staticInitial = initial;
            staticPages = new ArrayList<>(pages);
            // Don't reset staticThrowOnOpen here - it's controlled by tests
            return new TestIterator(th, parent, wildcard, filter, searchAttributes);
        }

    * It will also be used by automatic client code generation tools.
* **Serialize** the returned data to JSON using Pydantic, which is written in **Rust**, so it will be **much faster**.

But most importantly:

* It will **limit and filter** the output data to what is defined in the return type.
    * This is particularly important for **security**, we'll see more of that below.