And these models are all sharing a lot of the data and duplicating attribute names and types.

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

      afe.initCause(ie);
      throw afe;
    }
  }

  /**
   * Spin-waits up to the specified number of milliseconds for the given thread to enter a wait
   * state: BLOCKED, WAITING, or TIMED_WAITING.
   */
  @SuppressWarnings("ThreadPriorityCheck") // TODO: b/175898629 - Consider onSpinWait.
  void waitForThreadToEnterWaitState(Thread thread, long timeoutMillis) {

        }
        long size = spliterator.getExactSizeIfKnown();
        long[] counter = {0};
        spliterator.forEachRemaining(
            e -> {
              consumer.accept(e);
              counter[0]++;
            });
        if (size >= 0) {
          assertEquals(size, counter[0]);
        }
      }
    },
    ALTERNATE_ADVANCE_AND_SPLIT {
      @Override

        }
        long size = spliterator.getExactSizeIfKnown();
        long[] counter = {0};
        spliterator.forEachRemaining(
            e -> {
              consumer.accept(e);
              counter[0]++;
            });
        if (size >= 0) {
          assertEquals(size, counter[0]);
        }
      }
    },
    ALTERNATE_ADVANCE_AND_SPLIT {
      @Override

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.

0.082 responseBodyStart
0.082 responseBodyEnd
0.083 connectionReleased
0.083 callEnd
```

Notice how no connect events are fired for the second call. It reused the connection from the first request for dramatically better performance.

### EventListener.Factory

            * **FastAPI** adds a reference here to the global JSON Schemas in another place in your OpenAPI instead of including it directly. This way, other applications and clients can use those JSON Schemas directly, provide better code generation tools, etc.

///

The generated responses in the OpenAPI for this *path operation* will be:

```JSON hl_lines="3-12"
{
    "responses": {
        "404": {

Node Agent requires privileged node permissions, and will require allow-listing in constrained environments that block privileged workloads by default. If using sidecar repair mode or ambient mode, the node agent additionally needs permissions to enter pod network namespaces and perform networking configuration in them. If either sidecar repair or ambient mode are enabled, on startup the container will drop all Linux capabilities via (`drop:ALL`), and re-add back the ones sidecar repair/ambient explicitly...

 * better) behavior</a> when multiple threads attempt concurrent mutations. Its equivalent to {@code
 * CacheBuilder} is its <a
 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/Caffeine.html">{@code
 * Caffeine}</a> class. Caffeine offers better performance, more features (including asynchronous

   * This implementation requires O(|N|) time. Classes extending this one may manually keep track of
   * the number of edges as the graph is updated, and override this method for better performance.
   */
  protected long edgeCount() {
    long degreeSum = 0L;
    for (N node : nodes()) {
      degreeSum += degree(node);
    }