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;
    }

   *
   * <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.
   *

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

But then, when you open the integrated docs UI (the frontend), it would expect to get the OpenAPI schema at `/openapi.json`, instead of `/api/v1/openapi.json`.

So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

Here we create the tables on an application startup event.

For production you would probably use a migration script that runs before you start your app. 🤓

/// tip

### 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.

    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.

//
// Size parameter set to 0 makes cache of unlimited size, e.g. turns LRU mechanism off.
//
// Providing 0 TTL turns expiring off.
//
// Delete expired entries every 1/100th of ttl value. Goroutine which deletes expired entries runs indefinitely.
func NewLRU[K comparable, V any](size int, onEvict EvictCallback[K, V], ttl time.Duration) *LRU[K, V] {
	if size < 0 {
		size = 0
	}
	if ttl <= 0 {
		ttl = noEvictionTTL
	}

	res := LRU[K, V]{

 * subtype of {@code Network} that provides methods for adding and removing nodes and edges. If you
 * do not need to mutate a network (e.g. if you write a method than runs a read-only algorithm on
 * the network), you should use the non-mutating {@link Network} interface, or an {@link
 * ImmutableNetwork}.
 *
 * <p>You can create an immutable copy of an existing {@code Network} using {@link

### Es in der Dokumentationsoberfläche betrachten

Jetzt folgt der spaßige Teil. ✨