assertTrue(result.contains("sectPerAlloc=8"));
            assertTrue(result.contains("bytesPerSect=512"));
        }

        @Test
        @DisplayName("Should have consistent toString format")
        void shouldHaveConsistentToStringFormat() throws SMBProtocolDecodingException {
            // Given
            ByteBuffer buffer = ByteBuffer.allocate(32);
            buffer.order(ByteOrder.LITTLE_ENDIAN);

| _Valid Range_ | _Minimum value of 900. Maximum value of 31536000._ |
| _Required_    | _No_                                               |

### Policy

* <abbr title="aussi connu sous le nom de : serialization, parsing, marshalling">La conversion</abbr> des données de sortie : conversion des données et types Python en données réseau (au format <abbr title="JavaScript Object Notation">JSON</abbr>), permettant de convertir :
    * les types Python (`str`, `int`, `float`, `bool`, `list`, etc).
    * les objets `datetime`.
    * les objets `UUID`.

			errMsg = "Heal is already running on the given path " +
				"(use force-start option to stop and start afresh). " +
				fmt.Sprintf("The heal was started by IP %s at %s, token is %s",
					h.clientAddress, h.startTime.Format(http.TimeFormat), h.clientToken)
			return nil, errorCodes.ToAPIErr(ErrHealAlreadyRunning), errMsg
		}
	}

	ahs.Lock()
	defer ahs.Unlock()

	// Check if new heal sequence to be started overlaps with any

## Modelos Pydantic

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> es un paquete de Python para realizar la validación de datos.

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

Y cada atributo tiene un tipo.

		return fmt.Errorf("rebalanceMeta: no data")
	}

	// Read header
	switch binary.LittleEndian.Uint16(data[0:2]) {
	case rebalMetaFmt:
	default:
		return fmt.Errorf("rebalanceMeta: unknown format: %d", binary.LittleEndian.Uint16(data[0:2]))
	}
	switch binary.LittleEndian.Uint16(data[2:4]) {
	case rebalMetaVer:
	default:

        final NumberFormat nf = NumberFormat.getInstance(params.getLocale());
        nf.setMaximumIntegerDigits(2);
        nf.setMaximumFractionDigits(2);
        String execTime;
        try {
            execTime = nf.format((double) queryResponseList.getExecTime() / 1000);
        } catch (final Exception e) {
            execTime = StringUtil.EMPTY;
        }
        data.setExecTime(execTime);

 *
 * <p>{@code Preconditions} uses {@link Strings#lenientFormat} to format error message template
 * strings. This only supports the {@code "%s"} specifier, not the full range of {@link
 * java.util.Formatter} specifiers. However, note that if the number of arguments does not match the
 * number of occurrences of {@code "%s"} in the format string, {@code Preconditions} will still

```Python
    first_name="john", last_name="doe"
```

Het is iets anders.

We gebruiken dubbele punten (`:`), geen gelijkheidstekens (`=`).

Het toevoegen van type hints verandert normaal gesproken niet wat er gebeurt in je programma t.o.v. wat er zonder type hints zou gebeuren.

Maar stel je voor dat je weer bezig bent met het maken van een functie, maar deze keer met type hints.

But documentation is still missing. Then APISpec was created.

It is a plug-in for many frameworks (and there's a plug-in for Starlette too).

The way it works is that you write the definition of the schema using YAML format inside the docstring of each function handling a route.

And it generates OpenAPI schemas.

That's how it works in Flask, Starlette, Responder, etc.