Invokable<?, ?> delegate = Prepender.method("prepend", String.class, Iterable.class);
    assertEquals(new TypeToken<Iterable<String>>() {}, delegate.getReturnType());
  }

  public void testStaticMethod_exceptionTypes() throws Exception {
    Invokable<?, ?> delegate = Prepender.method("prepend", String.class, Iterable.class);
    assertEquals(ImmutableList.of(), delegate.getExceptionTypes());

#!/bin/sh
#

# If command starts with an option, prepend minio.
if [ "${1}" != "minio" ]; then
	if [ -n "${1}" ]; then
		set -- minio "$@"
	fi
fi

docker_switch_user() {
	if [ -n "${MINIO_USERNAME}" ] && [ -n "${MINIO_GROUPNAME}" ]; then
		if [ -n "${MINIO_UID}" ] && [ -n "${MINIO_GID}" ]; then
			chroot --userspec=${MINIO_UID}:${MINIO_GID} / "$@"
		else
			echo "${MINIO_USERNAME}:x:1000:1000:${MINIO_USERNAME}:/:/sbin/nologin" >>/etc/passwd

# Release jobs are very basic. They don't use any caching or RBE,
# but they do upload logs to resultstore.
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"
TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions"

### `HTMLResponse` { #htmlresponse }

Prend du texte ou des octets et renvoie une réponse HTML, comme vous l'avez vu ci-dessus.

### `PlainTextResponse` { #plaintextresponse }

Prend du texte ou des octets et renvoie une réponse en texte brut.

{* ../../docs_src/custom_response/tutorial005_py310.py hl[2,7,9] *}

### `JSONResponse` { #jsonresponse }

    arraycopy(second, 0, result, first.length, second.length);
    return result;
  }

  /**
   * Returns a new array that prepends {@code element} to {@code array}.
   *
   * @param element the element to prepend to the front of {@code array}
   * @param array the array of elements to append
   * @return an array whose size is one larger than {@code array}, with {@code element} occupying

# limitations under the License.
# ==============================================================================
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
# 1. Upload nightlies
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

        buffer.putInt(fileNameBytes.length);
        buffer.put(fileNameBytes);

        // Return only the used portion of the buffer
        byte[] result = new byte[buffer.position()];
        buffer.rewind();
        buffer.get(result);
        return result;
    }

    /**
     * Helper method to create a buffer with multiple notifications
     */

        addCssToHead(document);
        addJavascriptToHead(document);
        addHighlightJsToHead(document);

        wrapH2InSectionTopic(document);
        document.body().prepend("<h1>Gradle Release Notes</h1>");
        addTOC(document);
        wrapContentInContainer(document);

        cleanUpIssueLinks(document);
        handleVideos(document);
        removeLeftoverComments(document);

# Utiliser des dataclasses { #using-dataclasses }

FastAPI est construit au‑dessus de **Pydantic**, et je vous ai montré comment utiliser des modèles Pydantic pour déclarer les requêtes et les réponses.

Mais FastAPI prend aussi en charge l'utilisation de [`dataclasses`](https://docs.python.org/3/library/dataclasses.html) de la même manière :

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

* **Documentation**: Documentation should be updated to use American English, prioritizing user-facing documentation