old_content = content_path.read_text(encoding="utf-8")

    new_content = yaml.dump(new_content, sort_keys=False, width=200, allow_unicode=True)
    if old_content == new_content:
        logging.info(f"The content hasn't changed for {content_path}")
        return False
    content_path.write_text(new_content, encoding="utf-8")
    logging.info(f"Updated {content_path}")
    return True


def main() -> None:

Decommissiong is a mechanism in MinIO to drain older pools (usually with old hardware) and migrate the content from such pools to a newer pools (usually better hardware). Decommissioning spreads the data across all pools - for example, if you decommission `pool1`, all the data from `pool1` spreads across `pool2` and `pool3`.

## Features

- A pool in decommission still allows READ access to all its contents, newer WRITEs will automatically be scheduled to only pools not in decommission status.

            patternLayout {
                artifact "/${distUrl}/[module]-[revision]-bin(.[ext])"
            }
            metadataSources {
                artifact()
            }
            content {
                includeModule('gradle', 'gradle')
            }
        }
    }
}

// We support multiple accepted public api changes JSON files, but "accepted-public-api-changes.json"

            "input": "plumbus"
        }
    ]
}
```

## Resumen { #summary }

Puedes usar **modelos de Pydantic** para declarar **parámetros query** en **FastAPI**. 😎

/// tip | Consejo

Alerta de spoiler: también puedes usar modelos de Pydantic para declarar cookies y headers, pero leerás sobre eso más adelante en el tutorial. 🤫

Luego crea atributos de clase con valores fijos, que serán los valores válidos disponibles:

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip | Consejo

Si te estás preguntando, "AlexNet", "ResNet" y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.

///

# This file contains only comments and whitespace

	}
	grid, err := SetupTestGrid(n)
	errFatal(err)
	b.Cleanup(grid.Cleanup)
	const responses = 10
	// Create n managers.
	for _, remote := range grid.Managers {
		// Register a single handler which echos the payload.
		errFatal(remote.RegisterStreamingHandler(handlerTest, StreamHandler{
			// Send 10x response.
			Handle: func(ctx context.Context, payload []byte, _ <-chan []byte, out chan<- []byte) *RemoteErr {

        super();
    }

    // ===================================================================================
    //                                                                            Constant
    //

    // ===================================================================================
    //                                                                           Attribute
    //

 *
 * Each test is a line of the file `toascii.json`.
 */
@Serializable
class WebPlatformToAsciiData {
  var input: String? = null
  var output: String? = null
  var comment: String? = null

  override fun toString() = "input=$input output=$output"

  companion object {
    fun load(): List<WebPlatformToAsciiData> {

{* ../../docs_src/authentication_error_status_code/tutorial001_an_py39.py hl[9:13] *}

/// tip | Consejo

Ten en cuenta que la función devuelve la instance de la excepción, no la lanza. El lanzamiento se hace en el resto del código interno.