*
     * @return the (case-sensitive) identifier, never {@code null}
     */
    @Nonnull
    String getId();

    /**
     * Gets the type of the repository, for example "default".
     *
     * @return the (case-sensitive) type of the repository, never {@code null}
     */
    @Nonnull
    String getType();

### Antes e depois da `response`

Você pode adicionar código para ser executado com a `request`, antes que qualquer *operação de rota* o receba.

E também depois que a `response` é gerada, antes de retorná-la.

Por exemplo, você pode adicionar um cabeçalho personalizado `X-Process-Time` contendo o tempo em segundos que levou para processar a solicitação e gerar uma resposta:

```Python hl_lines="10  12-13"
{!../../docs_src/middleware/tutorial001.py!}

   * never use this method, preferring instead to call {@code requireNonNull} so as to benefit from
   * its runtime check.
   *
   * <p>An example use case for this method is in implementing an {@code Iterator<T>} whose {@code
   * next} field is lazily initialized. The type of that field would be {@code @Nullable T}, and the

Unlike most JSON parsers, `jstream` is document position- and depth-aware -- this enables the extraction of values at a specified depth, eliminating the overhead of allocating encompassing arrays or objects; e.g:

Using the below example document:
<img width="85%" src="https://bradley.codes/static/img/jstream-levels.gif" alt="jstream"/>

we can choose to extract and act only the objects within the top-level array:
```go
f, _ := os.Open("input.json")

```Python hl_lines="11"
{!../../docs_src/handling_errors/tutorial001.py!}
```

### 📉 📨

🚥 👩‍💻 📨 `http://example.com/items/foo` ( `item_id` `"foo"`), 👈 👩‍💻 🔜 📨 🇺🇸🔍 👔 📟 2️⃣0️⃣0️⃣, & 🎻 📨:

```JSON
{
  "item": "The Foo Wrestlers"
}
```

✋️ 🚥 👩‍💻 📨 `http://example.com/items/bar` (🚫-🚫 `item_id` `"bar"`), 👈 👩‍💻 🔜 📨 🇺🇸🔍 👔 📟 4️⃣0️⃣4️⃣ ("🚫 🔎" ❌), & 🎻 📨:

```JSON
{

message PodDisruptionBudgetSpec {
  // An eviction is allowed if at least "minAvailable" pods selected by
  // "selector" will still be available after the eviction, i.e. even in the
  // absence of the evicted pod.  So for example you can prevent all voluntary
  // evictions by specifying "100%".
  // +optional
  optional k8s.io.apimachinery.pkg.util.intstr.IntOrString minAvailable = 1;

Você também pode combinar `dataclasses` com outras anotações de tipo para criar estruturas de dados aninhadas.

Em alguns casos, você ainda pode ter que usar a versão do Pydantic das `dataclasses`. Por exemplo, se você tiver erros com a documentação da API gerada automaticamente.

Nesse caso, você pode simplesmente trocar as `dataclasses` padrão por `pydantic.dataclasses`, que é um substituto direto:

import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Abstract implementation of {@link InvocationHandler} that handles {@link Object#equals}, {@link
 * Object#hashCode} and {@link Object#toString}. For example:
 *
 * <pre>
 * class Unsupported extends AbstractInvocationHandler {
 *   protected Object handleInvocation(Object proxy, Method method, Object[] args) {
 *     throw new UnsupportedOperationException();
 *   }
 * }

   * required to be a {@link BufferedOutputStream} in order to allow implementations to simply
   * delegate to {@link #openStream()} when the stream returned by that method does not benefit from
   * additional buffering (for example, a {@code ByteArrayOutputStream}). This method returns a new,
   * independent stream each time it is called.
   *
   * <p>The caller is responsible for ensuring that the returned stream is closed.
   *

 * breadth first traversal) that only need a way of accessing the successors of a node in a graph.
 *
 * <h3>Usage</h3>
 *
 * Given an algorithm, for example:
 *
 * <pre>{@code
 * public <N> someGraphAlgorithm(N startNode, SuccessorsFunction<N> successorsFunction);
 * }</pre>
 *
 * you will invoke it depending on the graph representation you're using.
 *