return ImmutableEnumSet.asImmutable(EnumSet.copyOf((EnumSet) enumSet));
  }

  ImmutableSet() {}

  /** Returns {@code true} if the {@code hashCode()} method runs quickly. */
  boolean isHashCodeFast() {
    return false;
  }

  @Override
  public boolean equals(@Nullable Object object) {
    if (object == this) {
      return true;
    }

            this.p = p;
            this.ist = ist;
            this.timeout = timeout;
        }

        /**
         * Runs the process destroyer task to terminate the process.
         */
        @Override
        public void run() {
            if (!p.isAlive()) {
                if (logger.isDebugEnabled()) {

    assertThat(pool.closeConnections(150L)).isEqualTo(0)
    assertThat(pool.connectionCount()).isEqualTo(0)
    assertThat(c1.socket().isClosed).isTrue()

    // Running again, the pool reports that no further runs are necessary.
    assertThat(pool.closeConnections(150L)).isEqualTo(-1)
    assertThat(pool.connectionCount()).isEqualTo(0)
    assertThat(c1.socket().isClosed).isTrue()
  }

  @Test fun inUseConnectionsNotEvicted() {

- Bind dns-horizontal containers to linux nodes to avoid Windows scheduling on kubernetes cluster includes linux nodes and windows nodes ([#83364](https://github.com/kubernetes/kubernetes/pull/83364), [@wawa0210](https://github.com/wawa0210)) [SIG Cluster Lifecycle and Windows]

internal fun inet6AddressToAscii(address: ByteArray): String {
  // Go through the address looking for the longest run of 0s. Each group is 2-bytes.
  // A run must be longer than one group (section 4.2.2).
  // If there are multiple equal runs, the first one must be used (section 4.2.3).
  var longestRunOffset = -1
  var longestRunLength = 0
  run {
    var i = 0
    while (i < address.size) {
      val currentRunOffset = i

   *
   * <p>Lookups by row key are often faster than lookups by column key, because the data is stored
   * in a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still
   * runs quickly, since the row key is provided. However, {@code column(columnKey).size()} takes
   * longer, since an iteration across all row keys occurs.
   *

### Parallele Hamburger

Stellen wir uns jetzt vor, dass es sich hierbei nicht um „nebenläufige Hamburger“, sondern um „parallele Hamburger“ handelt.

Sie gehen los mit Ihrem Schwarm, um paralleles Fast Food zu bekommen.

Aber leider erhalten Sie nichts Nützliches:

<img src="/img/python-types/image01.png">

### Typen hinzufügen

Lassen Sie uns eine einzelne Zeile aus der vorherigen Version ändern.

Wir ändern den folgenden Teil, die Parameter der Funktion, von:

```Python
    first_name, last_name
```

zu:

```Python

    assertFailsWith<IOException> {
      call.execute()
    }.also { expected ->
      when (expected) {
        is SSLHandshakeException -> {
          // On Android, the handshake fails before the certificate pinner runs.
          assertThat(expected.message!!).contains("Could not validate certificate")
        }
        is SSLPeerUnverifiedException -> {
          // On OpenJDK, the handshake succeeds but the certificate pinner fails.

    assertTrue(
        "BitArray.bitSize() must return a positive number, but was " + bitArray.bitSize(),
        bitArray.bitSize() > 0);

    // Ideally we would also test the bitSize() overflow of this BF, but it runs out of heap space
    // BloomFilter.create(Funnels.unencodedCharsFunnel(), 244412641, 1e-11);
  }

  /**
   * Asserts that {@link BloomFilter#approximateElementCount} is within 1 percent of the expected
   * value.