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

	if errCode != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(errCode), r.URL)
		return
	}

	if len(fanOutEntries) > 0 {
		// Once signature is validated, check if the user has
		// explicit permissions for the user.
		if !globalIAMSys.IsAllowed(policy.Args{
			AccountName:     cred.AccessKey,
			Groups:          cred.Groups,

Pour cela, nous mettons à jour le modèle Pydantic `TokenData` avec une nouvelle propriété `scopes`.

En validant les données avec Pydantic, nous pouvons nous assurer que nous avons, par exemple, exactement une `list` de `str` pour les scopes et un `str` pour le `username`.

		c.Fatalf("policy add error: %v", err)
	}

	err = s.adm.AddCannedPolicy(ctx, policy2, newPolicyBytes)
	if err != nil {
		c.Fatalf("policy add error: %v", err)
	}

	// 2. Verify that policy json is validated by server
	invalidPolicyBytes := policyBytes[:len(policyBytes)-1]
	err = s.adm.AddCannedPolicy(ctx, policy1+"invalid", invalidPolicyBytes)
	if err == nil {
		c.Fatalf("invalid policy creation success")
	}

#### `HeroCreate` - el *modelo de datos* para crear un héroe { #herocreate-the-data-model-to-create-a-hero }

Ahora creamos un modelo `HeroCreate`, este es el que **validará** los datos de los clientes.

Tiene los mismos campos que `HeroBase`, y también tiene `secret_name`.

	blk := tw.templateV7Plus(hdr, f.formatString, f.formatOctal)
	f.formatString(blk.toUSTAR().prefix(), namePrefix)
	blk.setFormat(FormatUSTAR)
	if f.err != nil {
		return f.err // Should never happen since header is validated
	}
	return tw.writeRawHeader(blk, hdr.Size, hdr.Typeflag)
}

func (tw *Writer) writePAXHeader(hdr *Header, paxHdrs map[string]string) error {
	realName, realSize := hdr.Name, hdr.Size