return nameComparison;
          } else {
            return Integer.compare(m1.getParameterTypes().length, m2.getParameterTypes().length);
          }
        });
  }

  /** Validates that the given method's signature meets all of our assumptions. */
  private static void validateMethod(Method method) {
    String desc = method.toString();

    assertTrue(desc, isAnyEnter(method) || isWaitFor(method));

    int shift2 = shift1 + 10;
    loader.setValuePrefix(shift2);
    // fill with new data - has to live for 20 ms more
    for (int i = 0; i < 10; i++) {
      cache.invalidate(keyPrefix + i);
      assertWithMessage("key: %s%s", keyPrefix, i)
          .that(cache.getUnchecked(keyPrefix + i))
          .isEqualTo(i + shift2);
    }

#### `HeroCreate` - o *modelo de dados* para criar um hero { #herocreate-the-data-model-to-create-a-hero }

Agora criamos um modelo `HeroCreate`, este é o que **validará** os dados dos clientes.

Ele tem os mesmos campos que `HeroBase`, e também tem `secret_name`.

0.5rem;\n  margin-top: 0.1rem;\n  font-size: 0.875rem;\n  color: #fff;\n  background-color: var(--bs-success);\n  border-radius: var(--bs-border-radius);\n}\n\n.was-validated :valid ~ .valid-feedback,\n.was-validated :valid ~ .valid-tooltip,\n.is-valid ~ .valid-feedback,\n.is-valid ~ .valid-tooltip {\n  display: block;\n}\n\n.was-validated .form-control:valid, .form-control.is-valid {\n  border-color: var(--bs-form-valid-border-color);\n  padding-right: calc(1.5em + 0.75rem);\n  background-image: u...

これを行うには、`Annotated` の中で [Pydantic の `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) を使います。

/// tip | 豆知識

Pydantic には [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) などもあります。 🤓

///

            return nameComparison;
          } else {
            return Integer.compare(m1.getParameterTypes().length, m2.getParameterTypes().length);
          }
        });
  }

  /** Validates that the given method's signature meets all of our assumptions. */
  private static void validateMethod(Method method) {
    String desc = method.toString();

    assertTrue(desc, isAnyEnter(method) || isWaitFor(method));

 *     .cacheControl(new CacheControl.Builder().noCache().build())
 *     .url("http://publicobject.com/helloworld.txt")
 *     .build();
 * ```
 *
 * If it is only necessary to force a cached response to be validated by the server, use the more
 * efficient `max-age=0` directive instead:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()
 *         .maxAge(0, TimeUnit.SECONDS)

    * 그리고 validator는 복잡한 데이터 스키마를 명확하고 쉽게 정의하고, 검사하고, JSON Schema로 문서화할 수 있게 해줍니다.
    * 깊게 **중첩된 JSON** 객체를 가질 수 있으며, 이를 모두 검증하고 주석을 달 수 있습니다.
* **확장 가능**:
    * Pydantic은 사용자 정의 데이터 타입을 정의할 수 있게 하거나, validator decorator가 붙은 모델 메서드로 검증을 확장할 수 있습니다.

    Set<E> delegate = delegateOrNull();
    if (delegate != null) {
      metadata =
          Ints.constrainToRange(size(), CompactHashing.DEFAULT_SIZE, CompactHashing.MAX_SIZE);
      delegate.clear(); // invalidate any iterators left over!
      table = null;
      size = 0;
    } else {
      Arrays.fill(requireElements(), 0, size, null);
      CompactHashing.tableClear(requireTable());

      return localCache.getIfPresent(key);
    }

    @Override
    public void put(K key, V value) {
      localCache.put(key, value);
    }

    @Override
    public void invalidate(Object key) {
      checkNotNull(key);
      localCache.remove(key);
    }

    @Override
    public void invalidateAll() {
      localCache.clear();
    }

    @Override