Mais en prêtant attention aux tests de performance et aux comparaisons, il faut tenir compte de ce qu'il suit.

            return tempFile;
        } catch (final IOException e) {
            throw new CrawlerSystemException("Could not create a temp file.", e);
        }
    }

    /**
     * Validates that the input stream is not null.
     * This is a common validation performed by most extractors.
     *
     * @param in The input stream to validate
     * @throws CrawlerSystemException if the input stream is null

    }

    @Test
    @DisplayName("close calls release and decrements usage; double release throws")
    void closeAndReleaseBehavior() {
        // Validates usage counting and that an extra release() throws RuntimeCIFSException
        // First close -> usage 1 -> 0, triggers treeConnection.release()
        handle.close();
        verify(treeConnection, times(1)).release();

        this.heartbeatInterval = heartbeatInterval;
    }

    /**
     * Validates that the heartbeat response is correct.
     * The response sequence number should match the request sequence number.
     *
     * @return true if the response is valid
     */
    public boolean isValidResponse() {
        return isSuccess() && responseSequenceNumber == sequenceNumber;
    }

)

// keyrotate:
//   apiVersion: v1
//   bucket: BUCKET
//   prefix: PREFIX
//   encryption:
//     type: sse-s3 # valid values are sse-s3 and sse-kms
//     key: <new-kms-key> # valid only for sse-kms
//     context: <new-kms-key-context> # valid only for sse-kms
// # optional flags based filtering criteria
// # for all objects
// flags:
//   filter:

## Response con `dict` arbitrario { #response-with-arbitrary-dict }

También puedes declarar un response usando un `dict` arbitrario plano, declarando solo el tipo de las claves y valores, sin usar un modelo Pydantic.

Esto es útil si no conoces los nombres de los campos/atributos válidos (que serían necesarios para un modelo Pydantic) de antemano.

En este caso, puedes usar `typing.Dict` (o solo `dict` en Python 3.9 y posteriores):

				t.Fatalf("Test %d: Expected ExcludeFoldersr=%v but got %v", i+1, tc.excludeFolders, v.ExcludeFolders)
			}
		}
	}
}

func TestMarshalXML(t *testing.T) {
	// Validates if Versioning with no excluded prefixes omits
	// ExcludedPrefixes tags
	v := Versioning{
		Status: Enabled,
	}
	buf, err := xml.Marshal(v)
	if err != nil {
		t.Fatalf("Failed to marshal %v: %v", v, err)

	Rules   []Rule   `xml:"Rule"`
}

// ParseBucketSSEConfig - Decodes given XML to a valid default bucket encryption config
func ParseBucketSSEConfig(r io.Reader) (*BucketSSEConfig, error) {
	var config BucketSSEConfig
	err := xml.NewDecoder(r).Decode(&config)
	if err != nil {
		return nil, err
	}

	// Validates server-side encryption config rules
	// Only one rule is allowed on AWS S3
	if len(config.Rules) != 1 {

    }

    @Test
    @DisplayName("accept: rejects null input with meaningful NullPointerException")
    void accept_rejectsNullInput() {
        // Arrange: defensive filter that validates input
        SmbFileFilter filter = f -> {
            if (f == null) {
                throw new NullPointerException("file must not be null");
            }
            return true; // not reached in this test

	// Requires versioning to be enabled
	ExcludedPrefixes []ExcludedPrefix `xml:",omitempty"`
	ExcludeFolders   bool             `xml:",omitempty"`
}

// Validate - validates the versioning configuration
func (v Versioning) Validate() error {
	// Not supported yet
	// switch v.MFADelete {
	// case Enabled, Disabled:
	// default: