Por defecto, **FastAPI** convertiría automáticamente ese valor devuelto a JSON usando el `jsonable_encoder` explicado en [Codificador Compatible JSON](../tutorial/encoder.md){.internal-link target=_blank}.

Luego, tras bastidores, pondría esos datos compatibles con JSON (por ejemplo, un `dict`) dentro de una `JSONResponse` que se usaría para enviar la respuesta al cliente.

Pero puedes devolver una `JSONResponse` directamente de tu *operación de path*.

			}
			hr, err := hash.NewReaderWithOpts(ctx, bytes.NewReader(fanOutBuf), hopts)
			if err != nil {
				errs[idx] = err
				return
			}

			reader := NewPutObjReader(hr)
			defer func() {
				if err := reader.Close(); err != nil {
					errs[idx] = err
				}
				if err := hr.Close(); err != nil {
					errs[idx] = err
				}
			}()

			userDefined := make(map[string]string, len(req.UserMetadata))

    extra_args = [
        "--allow-unsafe",
        "-P keras-nightly",
        "-P tb-nightly",
    ],
    requirements_in = "requirements.in",
    requirements_txt = "requirements_lock_3_9.txt",
)

compile_pip_requirements_3_10(
    name = "requirements_3_10_release",
    extra_args = [
        "--allow-unsafe",
        "-P keras-nightly",
        "-P tb-nightly",
    ],

			bucketsInfo[index] = BucketInfo{Name: bucket, Created: volInfo.Created}
			return nil
		}, index)
	}

	errs := g.Wait()
	if err := reduceReadQuorumErrs(ctx, errs, bucketOpIgnoredErrs, (len(localDrives) / 2)); err != nil {
		return BucketInfo{}, err
	}

	var bucketInfo BucketInfo
	for i, err := range errs {
		if err == nil {
			bucketInfo = bucketsInfo[i]
			break
		}
	}

	return bucketInfo, nil

type parallelWriter struct {
	writers     []io.Writer
	writeQuorum int
	errs        []error
}

// Write writes data to writers in parallel.
func (p *parallelWriter) Write(ctx context.Context, blocks [][]byte) error {
	var wg sync.WaitGroup

	for i := range p.writers {
		if p.writers[i] == nil {
			p.errs[i] = errDiskNotFound
			continue
		}
		if p.errs[i] != nil {
			continue
		}
		wg.Add(1)
		go func(i int) {

typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0

# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.17.0.a

# Test dependencies
grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0

	for i, testCase := range testCases {
		gotErr := reduceReadQuorumErrs(context.Background(), testCase.errs, testCase.ignoredErrs, 5)
		if gotErr != testCase.err {
			t.Errorf("Test %d : expected %s, got %s", i+1, testCase.err, gotErr)
		}
		gotNewErr := reduceWriteQuorumErrs(context.Background(), testCase.errs, testCase.ignoredErrs, 6)
		if gotNewErr != errErasureWriteQuorum {

  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# VERY basic check to ensure the [and-cuda] package variant is installable.
# Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

# script to run pip-compile for keras, tensorboard, estimator deps.
# if there is a change in requirements.in then all lock files will be updated
# accordingly.

mv BUILD.bazel BUILD

SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12")

	connStats := globalConnStats.toServerConnStats()
	rpcStats := rest.GetRPCStats()
	if globalIsDistErasure {
		m.Set(internodeErrorsTotal, float64(rpcStats.Errs))
		m.Set(internodeDialErrorsTotal, float64(rpcStats.DialErrs))
		m.Set(internodeDialAvgTimeNanos, float64(rpcStats.DialAvgDuration))
		m.Set(internodeSentBytesTotal, float64(connStats.internodeOutputBytes))