RdmaMemoryRegion region2 = bufferManager.getSendRegion(1024);
        assertNotNull(region2);

        // Both regions should be valid
        assertTrue(region1.isValid() || !region1.isValid()); // Either state is OK after release
        assertTrue(region2.isValid(), "New region should be valid");
    }

        this.memoryRegister = new Object(); // Placeholder

        log.debug("DiSNI memory region registered, size: {}", buffer.remaining());
    }

    @Override
    public void invalidate() {
        if (valid && memoryRegister != null) {
            try {
                // In real implementation, this would deregister the memory:
                // memoryRegister.deregisterMemory();

)

// StorageAPI interface.
type StorageAPI interface {
	// Stringified version of disk.
	String() string

	// Storage operations.

	// Returns true if disk is online and its valid i.e valid format.json.
	// This has nothing to do with if the drive is hung or not responding.
	// For that individual storage API calls will fail properly. The purpose

import java.lang.annotation.Retention;
import java.lang.annotation.Target;

import jakarta.validation.Constraint;
import jakarta.validation.Payload;

/**
 * Validation constraint to ensure that a string is a valid cron expression.
 */
@Target({ METHOD, FIELD, ANNOTATION_TYPE, CONSTRUCTOR, PARAMETER })
@Retention(RUNTIME)
@Documented
@Constraint(validatedBy = CronExpressionValidator.class)
public @interface CronExpression {

                metadata = new Metadata(new MetadataStaxReader().read(input, false));
            }
        }

        boolean changed;

        // If file could not be found or was not valid, start from scratch
        if (metadata == null) {
            metadata = this.metadata;

            changed = true;
        } else {
            changed = metadata.merge(this.metadata);
        }

```

El parámetro `name` sigue siendo **requerido** (no *opcional*) porque no tiene un valor predeterminado. Aún así, `name` acepta `None` como valor:

```Python
say_hi(name=None)  # Esto funciona, None es válido 🎉
```

La buena noticia es que, una vez que estés en Python 3.10, no tendrás que preocuparte por eso, ya que podrás simplemente usar `|` para definir uniones de tipos:

   * on the deserialized instance.
   *
   * <p>When the underlying delegate throws an exception then this memoizing supplier will keep
   * delegating calls until it returns valid data.
   *
   * <p>If {@code delegate} is an instance created by an earlier call to {@code memoize}, it is
   * returned directly.
   */

                "path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

👆 🔜 🤚 ✍ ⏬, ⏮️:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` 🆚 `ValidationError`

/// warning

)

// XL constants.
const (
	// XL metadata file carries per object metadata.
	xlStorageFormatFileV1 = "xl.json"
)

// Valid - tells us if the format is sane by validating
// format version and erasure coding information.
func (m *xlMetaV1Object) valid() bool {
	return isXLMetaFormatValid(m.Version, m.Format) &&
		isXLMetaErasureInfoValid(m.Erasure.DataBlocks, m.Erasure.ParityBlocks)
}

                "path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

Ви отримаєте текстову версію:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` проти `ValidationError`