}

  /** Confirm that [MultipartBody] and [MultipartReader] can work together. */
  @Test fun `multipart round trip`() {
    val body =
      MultipartBody.Builder("boundary")
        .setType(MultipartBody.PARALLEL)
        .addPart("Quick".toRequestBody("text/plain".toMediaType()))
        .addFormDataPart("color", "Brown")
        .addFormDataPart("animal", "fox.txt", "Fox".toRequestBody())
        .build()

      ParallelTensor::FromTensorHandles(parallel_device,
                                        std::move(mixed_handles), status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK);
  // Can't take the shape of a parallel tensor with varying numbers of axes, but
  // running operations on them is OK.
  TF_ASSERT_OK(unknown_length_vector->Shape(&shape));
  EXPECT_THAT(*shape, ElementsAre(-1));

			for _, name := range w.stdPackages {
				pkg, _ := w.import_(name)
				w.export(pkg)
			}
			w.Features()
		}
	}
}

var warmupCache = sync.OnceFunc(func() {
	// Warm up the import cache in parallel.
	var wg sync.WaitGroup
	for _, context := range contexts {
		context := context
		wg.Add(1)
		go func() {
			defer wg.Done()
			_ = NewWalker(context, filepath.Join(testenv.GOROOT(nil), "src"))
		}()

   * note that the execution order of all listeners is ultimately chosen by the implementations of
   * the supplied executors.
   *
   * <p>This method is idempotent. Calling it several times in parallel is semantically equivalent
   * to calling it exactly once.
   *
   * @since 10.0 (present in 1.0 as {@code run})
   */
  public void execute() {

				r.bufferPool.Put(in.input)
				in.input = nil
				in.err = d.Err()
				in.dst <- all
			}
		}()
	}
}

// NewPReader - creates new parallel JSON reader using readCloser.
// Should only be used for LINES types.
func NewPReader(readCloser io.ReadCloser, args *ReaderArgs) *PReader {
	r := &PReader{
		args:       args,

     */
    @Nonnull
    Optional<Boolean> alsoMakeDependents();

    /**
     * Returns the number of threads used for parallel builds.
     *
     * @return an {@link Optional} containing the number of threads (or "1C" for one thread per CPU core), or empty if not specified
     */
    @Nonnull
    Optional<String> threads();

    /**

## Recap

You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

You could use these tools and ideas if you are setting up **your own deployment system** while taking care of the other deployment concepts yourself.

Since HTTP requests frequently happen in parallel, connection pooling must be thread-safe.

These are the primary classes involved with establishing, sharing, and terminating connections:

  annotations: {{- toYaml .Values.additionalAnnotations | nindent 4 }}
  {{- end }}
spec:
  updateStrategy:
    type: {{ .Values.statefulSetUpdate.updateStrategy }}
  podManagementPolicy: "Parallel"
  serviceName: {{ template "minio.fullname" . }}-svc
  replicas: {{ $replicas }}
  selector:
    matchLabels:
      app: {{ template "minio.name" . }}
      release: {{ .Release.Name }}
  template:
    metadata:

    }

    /**
     * @return True if the <code>Mojo</code> is thread-safe and can be run safely in parallel
     * @since 3.0-beta-2
     */
    public boolean isThreadSafe() {
        return threadSafe;
    }

    /**
     * @param threadSafe indicates that the mojo is thread-safe and can be run safely in parallel
     * @since 3.0-beta-2
     */
    public void setThreadSafe(boolean threadSafe) {