logTracing(testId, illegalArgumentException);
            }
        }
    }

    @Override
    public void output(Object testId, TestOutputEvent testOutputEvent) {
        if (activeDescriptorsById.containsKey(testId)) {
            try {
                delegate.output(testId, testOutputEvent);
            } catch (IllegalArgumentException illegalArgumentException) {

        assertEquals(dataRemaining, response.getDataRemaining());

        // Verify data was copied to output buffer
        byte[] copiedData = Arrays.copyOfRange(outputBuffer, 0, dataLength);
        assertArrayEquals(testData, copiedData);
    }

    @Test
    @DisplayName("Should throw exception when output buffer too small")
    void testReadBytesWireFormatBufferTooSmall() throws Exception {
        // Given

    default Optional<InputStream> stdIn() {
        return Optional.ofNullable(parserRequest().stdIn());
    }

    /**
     * Returns the output stream for the Maven execution, if running in embedded mode.
     *
     * @return an {@link Optional} containing the output stream, or empty if not applicable
     */
    @Nonnull
    default Optional<OutputStream> stdOut() {

     *
     * @param printWriter the string consumer to use for output
     */
    default void warnAboutDeprecatedOptions(@Nonnull ParserRequest request, @Nonnull Consumer<String> printWriter) {}

    /**
     * Displays help information for these options.
     *
     * @param printWriter the string consumer to use for output
     */

 private:
  absl::flat_hash_map<string, GradientFunctionFactory> registry_;
};

// TODO(srbs): Figure out if we can avoid declaring this in the public header.
// Wrapper for a tensor output of an operation executing under a tape.
//
// `GetID` returns a unique id for the wrapped tensor which is used to maintain
// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of

 * under the License.
 */
package org.apache.maven.plugin.logging;

import java.io.PrintWriter;
import java.io.StringWriter;

/**
 * Logger with "standard" output and error output stream.
 *
 *
 * @deprecated Use SLF4J directly
 */
@Deprecated
public class SystemStreamLog implements Log {
    /**
     * @see org.apache.maven.plugin.logging.Log#debug(java.lang.CharSequence)

				if err != nil {
					t.Error(err)
				}
				err = want.WriteCSV(&wantB, opts)
				if err != nil {
					t.Error(err)
				}

				if !bytes.Equal(gotB.Bytes(), wantB.Bytes()) {
					t.Errorf("CSV output mismatch.\nwant: %s(%x)\ngot:  %s(%x)", wantB.String(), wantB.Bytes(), gotB.String(), gotB.Bytes())
				}
				gotB.Reset()
				wantB.Reset()

				err = rec.WriteJSON(&gotB)
				if err != nil {
					t.Error(err)

        processor.started(testDesciptorInternal, testStartEvent)
        then:
        1 * delegate.started(testDesciptorInternal, testStartEvent)

        when:
        processor.output(testId, testOutputEvent)
        then:
        1 * delegate.output(testId, testOutputEvent)

        when:
        processor.completed(testId, testCompleteEvent)
        then:
        1 * delegate.completed(testId, testCompleteEvent)
    }

     * The script data or code that was executed.
     * This field contains the actual script content that was run.
     */
    public String scriptData;

    /**
     * The result or output from the script execution.
     * This field contains any output or result data from the script.
     */
    public String scriptResult;

    /**
     * The timestamp when the job started execution.

Vous recevrez une réponse comme :

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` pour les données de sortie { #pydantic-bytes-for-output-data }

Vous pouvez également utiliser des champs `bytes` avec `ser_json_bytes` dans la configuration du modèle pour les données de sortie ; Pydantic sérialisera alors les octets en base64 lors de la génération de la réponse JSON.