```

</div>

### Redirects with HTTPS { #redirects-with-https }

For example, let's say you define a *path operation* `/items/`:

{* ../../docs_src/behind_a_proxy/tutorial001_01_py39.py hl[6] *}

If the client tries to go to `/items`, by default, it would be redirected to `/items/`.

But before setting the *CLI Option* `--forwarded-allow-ips` it could redirect to `http://localhost:8000/items/`.

   * @since 24.0
   */
  @Override
  Set<EndpointPair<N>> incidentEdges(N node);

  /**
   * Returns the count of {@code node}'s incident edges, counting self-loops twice (equivalently,
   * the number of times an edge touches {@code node}).
   *
   * <p>For directed graphs, this is equal to {@code inDegree(node) + outDegree(node)}.
   *
   * <p>For undirected graphs, this is equal to {@code incidentEdges(node).size()} + (number of

   * <p>{@code function} will never be invoked with a null value.
   *
   * <p>Note that {@code function} must be consistent according to {@code this} equivalence
   * relation. That is, invoking {@link Function#apply} multiple times for a given value must return
   * equivalent results. For example, {@code
   * Equivalence.identity().onResultOf(Functions.toStringFunction())} is broken because it's not

   * @since 24.0
   */
  @Override
  Set<EndpointPair<N>> incidentEdges(N node);

  /**
   * Returns the count of {@code node}'s incident edges, counting self-loops twice (equivalently,
   * the number of times an edge touches {@code node}).
   *
   * <p>For directed graphs, this is equal to {@code inDegree(node) + outDegree(node)}.
   *
   * <p>For undirected graphs, this is equal to {@code incidentEdges(node).size()} + (number of

      List<ReferenceEntry<Object, Object>> writes = new ArrayList<>();
      Iterator<ReferenceEntry<Object, Object>> i = writeOrder.iterator();
      while (i.hasNext()) {
        ReferenceEntry<Object, Object> entry = i.next();
        if (random.nextBoolean()) {
          segment.recordWrite(entry, 1, map.ticker.read());
          writes.add(entry);
          i.remove();
        }
      }

      List<ReferenceEntry<Object, Object>> writes = new ArrayList<>();
      Iterator<ReferenceEntry<Object, Object>> i = writeOrder.iterator();
      while (i.hasNext()) {
        ReferenceEntry<Object, Object> entry = i.next();
        if (random.nextBoolean()) {
          segment.recordWrite(entry, 1, map.ticker.read());
          writes.add(entry);
          i.remove();
        }
      }

O segundo parâmetro de tipo é para os valores do `dict`:

{* ../../docs_src/python_types/tutorial008_py39.py hl[1] *}

Isso significa que:

* A variável `prices` é um `dict`:
    * As chaves deste `dict` são do tipo `str` (digamos, o nome de cada item).
    * Os valores deste `dict` são do tipo `float` (digamos, o preço de cada item).

#### Union { #union }

    <profile>
      <id>print-java-11-home</id>
      <build>

    <profile>
      <id>print-java-11-home</id>
      <build>

      int same = 0x0; // bitset for output bits with same values
      int diff = 0x0; // bitset for output bits with different values
      int count = 0;
      // originally was 2 * Math.log(...), making it try more times to avoid flakiness issues
      int maxCount = (int) (4 * Math.log(2 * keyBits * hashBits) + 1);
      while (same != 0xffffffff || diff != 0xffffffff) {
        int key1 = rand.nextInt();
        // flip input bit for key2