/**
 * Utility class for handling Maven model version operations during upgrades.
 *
 * <p>This class uses domtrip internally for superior formatting preservation
 * and simplified API while maintaining the same external interface.
 */
public final class ModelVersionUtils {

    private ModelVersionUtils() {
        // Utility class
    }

Em todos os documentos existem exemplos compatíveis com cada versão do Python (quando existem diferenças).

Por exemplo, "**Python 3.6+**" significa que é compatível com o Python 3.6 ou superior (incluindo o 3.7, 3.8, 3.9, 3.10, etc). E "**Python 3.9+**" significa que é compatível com o Python 3.9 ou mais recente (incluindo o 3.10, etc).

/**
 * domtrip-based orchestrator for executing different upgrade strategies.
 *
 * <p>This class provides the same functionality as StrategyOrchestrator but works
 * with domtrip-based strategies for superior formatting preservation.
 *
 * <p>Determines which strategies to apply based on options and executes them in priority order.
 * The DI container automatically sorts the injected strategies by their @Priority annotations.
 */

 * load on the garbage collector by only using a constant number of internal objects.
 *
 * <p>This class should not be assumed to be universally superior to {@code
 * java.util.LinkedHashMap}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class

Imaginemos que cargar el modelo puede **tomar bastante tiempo**, porque tiene que leer muchos **datos del disco**. Entonces no quieres hacerlo para cada request.

Por ejemplo, "**Python 3.6+**" significa que es compatible con Python 3.6 o superior (incluyendo 3.7, 3.8, 3.9, 3.10, etc). Y "**Python 3.9+**" significa que es compatible con Python 3.9 o superior (incluyendo 3.10, etc).

/// info | Información

Observa cómo `Offer` tiene una lista de `Item`s, que a su vez tienen una lista opcional de `Image`s

///

## Cuerpos de listas puras { #bodies-of-pure-lists }

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

```Python
images: list[Image]
```

como en:

 * {@code java.util.LinkedHashSet}, it offers insertion-order iteration, with identical behavior.
 *
 * <p>This class should not be assumed to be universally superior to {@code
 * java.util.LinkedHashSet}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class

 * {@code java.util.LinkedHashSet}, it offers insertion-order iteration, with identical behavior.
 *
 * <p>This class should not be assumed to be universally superior to {@code
 * java.util.LinkedHashSet}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class

 * load on the garbage collector by only using a constant number of internal objects.
 *
 * <p>This class should not be assumed to be universally superior to {@code
 * java.util.LinkedHashMap}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class