"Features/Stats",
            "Features/Watcher",
            "Geo",
            "Graph",
            "Highlighting",
            "IdentityProvider",
            "Infra/CLI",
            "Infra/Circuit Breakers",
            "Infra/Core",
            "Infra/Logging",
            "Infra/Node Lifecycle",
            "Infra/Plugins",
            "Infra/REST API",
            "Infra/Resiliency",
            "Infra/Scripting",

            <option value="$PROJECT_DIR$/platforms/core-execution/worker-process-services" />
            <option value="$PROJECT_DIR$/platforms/core-execution/workers" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/base-asm" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/base-services" />

    // Log after all static init is finished; if an installed logger uses any Futures methods, it
    // shouldn't break in cases where reflection is missing/broken.
    if (thrownReflectionFailure != null) {
      log.get().log(Level.SEVERE, "SafeAtomicHelper is broken!", thrownReflectionFailure);
    }
  }

  AggregateFutureState(int remainingFutures) {
    this.remainingField = remainingFutures;
  }

      int64_t init_timeout_in_ms, int retries,
      bool clear_existing_contexts = false) = 0;

  // Initializes context for the local worker and no contexts will be created
  // for remote workers. Currently this only works for resetting context.
  // TODO(b/289445025): Consider removing this when we find a proper fix.
  virtual absl::Status InitializeLocalOnlyContext(const ServerDef& server_def,

    .read("secret/elasticsearch-ci/gradle-build-cache")
    .getData()
  gradle.settingsEvaluated { settings ->
    settings.buildCache {
      local {
        // Disable the local build cache in CI since we use ephemeral workers and it incurs an IO penalty
        enabled = false
      }
      remote(HttpBuildCache) {
        url = buildCacheUrl
        push = buildCachePush
        credentials {

TF_CAPI_EXPORT extern TFE_ContextDevicePlacementPolicy
TFE_ContextGetDevicePlacementPolicy(TFE_Context* ctx);

// A tensorflow.ServerDef specifies remote workers (in addition to the current
// workers name). Operations created in this context can then be executed on
// any of these remote workers by setting an appropriate device.
//
// If the following is set, all servers identified by the
// ServerDef must be up when the context is created.

// newBatchJobPool creates a pool of job manifest workers of specified size
func newBatchJobPool(ctx context.Context, o ObjectLayer, workers int) *BatchJobPool {
	jpool := &BatchJobPool{
		ctx:          ctx,
		objLayer:     o,
		jobCh:        make(chan *BatchJobRequest, 10000),
		workerKillCh: make(chan struct{}, workers),
		jobCancelers: make(map[string]context.CancelFunc),
	}

 * capabilities to the default HTTPS handler. This acts as a wrapper,
 * handling authentication and passing control to the underlying
 * stream handler.
 *
 * @deprecated {@link NtlmHttpURLConnection} is broken by design.
 */
@Deprecated
public class Handler extends jcifs.http.Handler {

    /**
     * The default HTTPS port (<code>443</code>).
     */
    public static final int DEFAULT_HTTPS_PORT = 443;

     * Each type represents a major browser family that can be detected
     * from the User-Agent header string.
     */
    public enum UserAgentType {
        /** Internet Explorer and Trident-based browsers */
        IE,
        /** Mozilla Firefox browser */
        FIREFOX,
        /** Google Chrome browser */
        CHROME,
        /** Apple Safari browser */
        SAFARI,
        /** Opera browser */

COPY ./app /code/app

# (1)!
CMD ["fastapi", "run", "app/main.py", "--port", "80", "--workers", "4"]
```

1. Hier verwenden wir die `--workers` Befehlszeilenoption, um die Anzahl der Worker auf 4 festzulegen.

Hier sind einige Beispiele, wann das sinnvoll sein könnte:

#### Eine einfache Anwendung { #a-simple-app }