Counter c2 = new Counter(aa);
    Thread t1 = newStartedThread(c1);
    Thread t2 = newStartedThread(c2);
    awaitTermination(t1);
    awaitTermination(t2);
    assertEquals(SIZE * COUNTDOWN, c1.counts + c2.counts);
  }

  /** a deserialized serialized array holds same values */
  public void testSerialization() throws Exception {
    AtomicDoubleArray x = new AtomicDoubleArray(SIZE);

    Counter c2 = new Counter(aa);
    Thread t1 = newStartedThread(c1);
    Thread t2 = newStartedThread(c2);
    awaitTermination(t1);
    awaitTermination(t2);
    assertEquals(SIZE * COUNTDOWN, c1.counts + c2.counts);
  }

  /** a deserialized serialized array holds same values */
  public void testSerialization() throws Exception {
    AtomicDoubleArray x = new AtomicDoubleArray(SIZE);

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

Use one of the following approaches to view job output:

    final Object[] elements;
    final int[] counts;

    // "extends Object" works around https://github.com/typetools/checker-framework/issues/3013
    SerializedForm(Multiset<? extends Object> multiset) {
      int distinct = multiset.entrySet().size();
      elements = new Object[distinct];
      counts = new int[distinct];
      int i = 0;

    String reportItem(Item<?> item) {
      return item.toString();
    }
  }

  /**
   * A word about using {@link Equivalence}, which automatically checks for {@code null} and
   * identical inputs: This sounds like it ought to be a problem here, since the goals of this class
   * include testing that {@code equals()} is reflexive and is tolerant of {@code null}. However,

# 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.

 * into itself leading to a stack overflow.
 *
 * A side effect of using @Typed is that it translates to explicit bindings in the container.
 * So instead of binding the component under a 'wildcard' key it is now bound with an explicit
 * key. Since this is a default component this will be a plain binding of ModelProcessor to
 * this implementation type, ie. no hint/name.
 *

				relForeignKeys = append(relForeignKeys, ref.ForeignKey.DBName)
			} else if ref.PrimaryValue != "" {
				conds = append(conds, clause.Eq{
					Column: clause.Column{Table: rel.JoinTable.Table, Name: ref.ForeignKey.DBName},
					Value:  ref.PrimaryValue,
				})
			} else {
				conds = append(conds, clause.Eq{
					Column: clause.Column{Table: rel.JoinTable.Table, Name: ref.ForeignKey.DBName},

		var found bool
		for _, ss := range setCounts {
			if ss == setDriveCount {
				found = true
			}
		}
		if !found {
			return nil, config.ErrInvalidErasureSetSize(nil).Msg(msg)
		}

		// No automatic symmetry calculation expected, user is on their own
		setSize = setDriveCount
	} else {
		// Returns possible set counts with symmetry.

# Unteranwendungen – Mounts

Wenn Sie zwei unabhängige FastAPI-Anwendungen mit deren eigenen unabhängigen OpenAPI und deren eigenen Dokumentationsoberflächen benötigen, können Sie eine Hauptanwendung haben und dann eine (oder mehrere) Unteranwendung(en) „mounten“.

## Mounten einer **FastAPI**-Anwendung