HTTPStatusCode: http.StatusBadRequest,
	},
	ErrParseExpectedWhenClause: {
		Code:           "ParseExpectedWhenClause",
		Description:    "Did not find the expected WHEN clause in the SQL expression. CASE is not supported.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrParseUnsupportedToken: {
		Code:           "ParseUnsupportedToken",

La clase `Hero` es muy similar a un modelo de Pydantic (de hecho, en el fondo, realmente *es un modelo de Pydantic*).

Hay algunas diferencias:

* `table=True` le dice a SQLModel que este es un *modelo de tabla*, que debe representar una **tabla** en la base de datos SQL, no es solo un *modelo de datos* (como lo sería cualquier otra clase regular de Pydantic).

    }

    // ===================================================================================
    //                                                                      Data Classes
    //                                                                      =============

    @Test
    public void test_InstanceInfo() {
        final InstanceInfo info = new InstanceInfo();

    assertTrue(
        Visibility.PACKAGE.isVisible(VisibilityMethods.class.getDeclaredMethod("protectedMethod")));
    assertTrue(
        Visibility.PACKAGE.isVisible(VisibilityMethods.class.getDeclaredMethod("publicMethod")));
  }

  @SuppressWarnings("ClassCanBeStatic") // We want to test an inner class.
  private class Inner {
    @Keep

type itemOrErr[V any] struct {
	Item V
	Err  error
}

func filterStorageClass(ctx context.Context, s string) string {
	// Veeam 14.0 and later clients are not compatible with custom storage classes.
	if globalVeeamForceSC != "" && s != storageclass.STANDARD && s != storageclass.RRS && isVeeamClient(ctx) {
		return globalVeeamForceSC
	}
	return s
}

type ordered interface {

            // Each extract will overwrite the top level classes that existed before it, the result is that we end up
            // with a single version of the class in `jarExpandDir`.
            // This will be the closes version to `targetCompatibility`, the same class that would be loaded in a JVM
            // that has `targetCompatibility` version.

    .atZone(ZoneId.systemDefault()).toInstant().toEpochMilli()


object Attributes {
    val artifactType = Attribute.of("artifactType", String::class.java)
    val minified = Attribute.of("minified", Boolean::class.javaObjectType)
}


class JarAnalyzer(
    private val shadowPackage: String,
    private val keepPackages: Set<String>,
    private val unshadedPackages: Set<String>,

     */
    private String artifactId;

    /**
     * The version of the extension.
     */
    private String version;

    /**
     * The class loading strategy: 'self-first' (the default),
     * 'parent-first' (loads classes from the parent, then from the
     * extension) or 'plugin' (follows the rules from extensions
     * defined as plugins).
     */

    String concurrentPackage = SettableFuture.class.getPackage().getName();
    ClassLoader classLoader = AbstractFutureFallbackAtomicHelperTest.class.getClassLoader();
    // we delegate to the current classloader so both loaders agree on classes like TestCase
    return new URLClassLoader(ClassPathUtil.getClassPathUrls(), classLoader) {
      @Override
      public Class<?> loadClass(String name) throws ClassNotFoundException {

as-is, including the `hashed_password`. To fix this, the declared `response_model` is cloned, if it is a Pydantic model class (or contains Pydantic model classes in it, e.g. in a `List[Item]`), the Pydantic model class(es) will be a different one (the "cloned" one). So, an object that is a subclass won't simply pass the validation and returned as-is, because it is no longer a sub-class of the cloned `response_model`. Instead, a new Pydantic model object will be created with the contents of the returned...