Version strings of the form X.YZ and X.Y.Z-xxxxx are supported. The
  'xxxxx' part, for instance 'homebrew' on OS/X, is ignored.

  Args:
    version: a version to be converted

  Returns:
    An integer if converted successfully, otherwise return None.
  """
  version = version.split('-')[0]
  version_segments = version.split('.')
  # Treat "0.24" as "0.24.0"
  if len(version_segments) == 2:

Declaras la "forma" de los datos como clases con atributos.

Y cada atributo tiene un tipo.

Entonces creas un instance de esa clase con algunos valores y validará los valores, los convertirá al tipo adecuado (si es el caso) y te dará un objeto con todos los datos.

Y obtienes todo el soporte del editor con ese objeto resultante.

Un ejemplo de la documentación oficial de Pydantic:

El LLM probablemente traducirá esto mal. Lo interesante es si mantiene la traducción corregida al volver a traducir.

///

////

//// tab | Info

La persona que diseña el prompt puede elegir si quiere convertir comillas neutras a comillas tipográficas. También está bien dejarlas como están.

Consulta por ejemplo la sección `### Quotes` en `docs/de/llm-prompt.md`.

////

///

////

//// tab | Info

Le concepteur de l’invite peut choisir s’il souhaite convertir les guillemets neutres en guillemets typographiques. Il est acceptable de les laisser tels quels.

Voir par exemple la section `### Quotes` dans `docs/de/llm-prompt.md`.

////

        }

        when(mockConfig.getLmHostsFileName()).thenReturn(lmhostsFile.getAbsolutePath());

        // Use getByName to trigger populate
        // Content is converted to uppercase internally
        assertNotNull(lmhosts.getByName("HOSTNAME", mockContext));
    }

    @Test
    void testMultipleEntriesForSameHost() throws Exception {

 * Joiner joiner = Joiner.on("; ").skipNulls();
 *  . . .
 * return joiner.join("Harry", null, "Ron", "Hermione");
 * }
 *
 * <p>This returns the string {@code "Harry; Ron; Hermione"}. Note that all input elements are
 * converted to strings using {@link Object#toString()} before being appended.
 *
 * <p>If neither {@link #skipNulls()} nor {@link #useForNull(String)} is specified, the joining

   *
   * @param collection a collection of {@code Boolean} objects
   * @return an array containing the same values as {@code collection}, in the same order, converted
   *     to primitives
   * @throws NullPointerException if {@code collection} or any of its elements is null
   */
  public static boolean[] toArray(Collection<Boolean> collection) {

You can return a `dict`, `list`, singular values as `str`, `int`, etc.

You can also return Pydantic models (you'll see more about that later).

There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.

### Step 6: Deploy it { #step-6-deploy-it }

	MOVF	$(0.0), F3				// d30100f0

	// Converted to load of symbol (AUIPC + FLW)
	MOVF	$(709.78271289338397), F3		// 970f000087a10f00

	MOVD	4(X5), F0				// 07b04200
	MOVD	F0, 4(X5)				// 27b20200
	MOVD	F0, F1					// d3000022
	MOVD	F3, X1					// d38001e2
	MOVD	X1, F3					// d38100f2
	MOVD	X0, F3					// d30100f2
	MOVD	$(0.0), F3				// d30100f2

	// Converted to load of symbol (AUIPC + FLD)

     * because guess' is the arithmetic mean of guess and x / guess, sqrt(x) is the geometric mean,
     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles
     * with each iteration, so this algorithm takes O(log(digits)) iterations.
     *