* Errori chiari e automatici quando i dati sono invalidi.
    * Validazione anche per gli oggetti JSON più complessi.
* <abbr title="anche noto come: serializzazione, parsing, marshalling">Conversione</abbr> dei dati di input: da risorse esterne a dati e tipi di Python. È possibile leggere da:
    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Form.
    * File.

        }
        is CertificateException -> {
          assertTrue(ioe.cause?.cause is IllegalArgumentException)
          assertEquals(true, ioe.cause?.cause?.message?.startsWith("Invalid input to toASCII"))
        }
        else -> throw ioe
      }
    }
  }

  @Test
  @Disabled("breaks conscrypt test")
  fun testBouncyCastleRequest() {
    assumeNetwork()

    try {

labels.userInfo=User Info
labels.webApiJson=JSON Response
labels.webConfigName=Web Config Name
labels.allLanguages=All Languages
labels.dictId=Dictionary ID
labels.docId=Document ID
labels.endTime=End Time
labels.hq=hq
labels.inputs=Source
labels.jobLogging=Logging
labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=lang
labels.outputs=Target
labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before

    * Errores automáticos y claros cuándo los datos son inválidos.
    * Validación, incluso para objetos JSON profundamente anidados.
* <abbr title="en inglés: serialization, parsing, marshalling">Conversión</abbr> de datos de input: viniendo de la red a datos y tipos de Python. Leyendo desde:
    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Formularios.
    * Archivos.

func (e batchExpireJobError) Error() string {
	return e.Description
}

// maxBatchRules maximum number of rules a batch-expiry job supports
const maxBatchRules = 50

// Validate validates the job definition input
func (r *BatchJobExpire) Validate(ctx context.Context, job BatchJobRequest, o ObjectLayer) error {
	if r == nil {
		return nil
	}

	if r.APIVersion != batchExpireAPIVersion {
		return batchExpireJobError{

	Object    string
	VersionID string
	Err       error
}

// Unwrap the error to its underlying error.
func (e GenericError) Unwrap() error {
	return e.Err
}

// InvalidArgument incorrect input argument
type InvalidArgument GenericError

func (e InvalidArgument) Error() string {
	if e.Err != nil {
		return "Invalid arguments provided for " + e.Bucket + "/" + e.Object + ": (" + e.Err.Error() + ")"
	}

	log *istiolog.Scope,
	data string,
	iptVer *dep.IptablesVersion,
) error {
	cmd := iptablesconstants.IPTablesRestore
	log.Infof("Running %s with the following input:\n%v", iptVer.CmdToString(cmd), strings.TrimSpace(data))
	// --noflush to prevent flushing/deleting previous contents from table
	return cfg.ext.Run(cmd, iptVer, strings.NewReader(data), "--noflush", "-v")
}

        "target": {
          "limit": 100,
          "matchAny": false,
          "tags": [],
          "type": "dashboard"
        },
        "type": "dashboard"
      }
    ]
  },
  "__inputs": [
    {
      "name": "DS_PROMETHEUS",
      "label": "Prometheus",
      "description": "", 
      "type": "datasource",
      "pluginId": "prometheus",
      "pluginName": "Prometheus"
    }
  ],

  /**
   * Returns a {@link Collector} that accumulates elements into an {@code ImmutableMap} whose keys
   * and values are the result of applying the provided mapping functions to the input elements.
   * Entries appear in the result {@code ImmutableMap} in encounter order.
   *
   * <p>If the mapped keys contain duplicates (according to {@link Object#equals(Object)}, an {@code

    tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle =
        tensorflow::unwrap(handles[i]);
    if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(