return ImmutableMultiset.<String>builder().add(elements).buildJdkBacked();
                  }
                })
            .named("ImmutableMultiset [JDK backed]")
            .withFeatures(
                CollectionSize.ANY,
                CollectionFeature.SERIALIZABLE_INCLUDING_VIEWS,
                CollectionFeature.ALLOWS_NULL_QUERIES)
            .createTestSuite());

        testBlock = new TestAndXServerMessageBlock(mockConfig, (byte) 0x25, andxBlock) {
            @Override
            protected int getBatchLimit(Configuration cfg, byte cmd) {
                return 1; // Allow one batched message
            }
        };

        byte[] buffer = new byte[1024];
        int length = testBlock.encode(buffer, 0);

        assertTrue(length > 0);

   *
   * On the other hand, past underutilization could mean that "the server responsible for handling
   * the request has become less ready for future requests", i.e. its caches become stale, and
   * requests become more likely to trigger expensive operations (a more extreme case of this
   * example is when a server has just booted, and it is mostly busy with getting itself up to
   * speed).
   *

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Zusammenfassung { #recap }

Zusammengefasst deklarieren Sie **einmal** die Typen von Parametern, Body, usw. als Funktionsparameter.

Das machen Sie mit modernen Standard-Python-Typen.

Sie müssen keine neue Syntax, Methoden oder Klassen einer bestimmten Bibliothek usw. lernen.

Nur Standard-**Python**.

Zum Beispiel für ein `int`:

```Python

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Double> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Integer> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

    }

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**
   * Returns a synchronized (thread-safe) table backed by the specified table. In order to guarantee
   * serial access, it is critical that <b>all</b> access to the backing table is accomplished
   * through the returned table.
   *

import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.Spliterator;
import java.util.Spliterators;
import org.jspecify.annotations.Nullable;

/**
 * {@link Table} implementation backed by a map that associates row keys with column key / value
 * secondary maps. This class provides rapid access to records by the row key alone or by both keys,
 * but not by just the column key.
 *

import java.util.NavigableMap;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.TreeMap;
import org.jspecify.annotations.Nullable;

/**
 * An implementation of {@link RangeSet} backed by a {@link TreeMap}.
 *
 * @author Louis Wasserman
 * @since 14.0
 */
@GwtIncompatible // uses NavigableMap
public class TreeRangeSet<C extends Comparable<?>> extends AbstractRangeSet<C>
    implements Serializable {

import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * {@link Table} implementation backed by a map that associates row keys with column key / value
 * secondary maps. This class provides rapid access to records by the row key alone or by both keys,
 * but not by just the column key.
 *