/**
   * This counter prevents an ABA issue where a thread may successfully schedule the worker, the
   * worker runs and exhausts the queue, another thread enqueues a task and fails to schedule the
   * worker, and then the first thread's call to delegate.execute() returns. Without this counter,
   * it would observe the QUEUING state and set it to QUEUED, and the worker would never be
   * scheduled again for future submissions.
   */
  @GuardedBy("queue")

    <!-- These packages are duplicated in workers and daemon-server-worker, don't require a package-info.java in each place -->
    <suppress checks="JavadocPackage"
              files=".*[/\\]platforms[/\\]core-execution[/\\]daemon-server-worker[/\\]src[/\\]main[/\\]java[/\\]org[/\\]gradle[/\\]workers[/\\][^/\\]+"/>

    <!-- These packages are duplicated in code-quality and code-quality-workers, don't require a package-info.java in each place -->

    "crossVersionTests": false
  },
  {
    "name": "scala-compiler-worker",
    "path": "platforms/jvm/scala-compiler-worker",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "scaladoc-worker",
    "path": "platforms/jvm/scaladoc-worker",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false

 * while a worker action that executes in a worker must declare that it executes in
 * a worker.
 *
 * However, a shared library used by both daemon and worker actions does not necessarily
 * care which runtimes it must execute in. The target runtimes it must support is a function
 * of the daemon and worker project that depends on it. Since both a daemon and worker

        def projectDir = 'C:\\tcagent1\\work\\f63322e10dd6b396\\'...

            <option value="$PROJECT_DIR$/platforms/core-execution/scoped-persistent-cache" />
            <option value="$PROJECT_DIR$/platforms/core-execution/snapshots" />
            <option value="$PROJECT_DIR$/platforms/core-execution/worker-main" />
            <option value="$PROJECT_DIR$/platforms/core-execution/worker-process-services" />

* the task
* the background task
* the task function

* the template
* the template engine

* the type annotation
* the type hint

* the server worker
* the Uvicorn worker
* the Gunicorn Worker
* the worker process
* the worker class
* the workload

* the deployment
* to deploy

* the SDK
* the software development kit

* the `APIRouter`
* the `requirements.txt`

Example:

Source (English):

```
# FastAPI in Containers - Docker { #fastapi-in-containers-docker }
```

Translate with (German) – notice the dash:

```
# FastAPI in Containern – Docker { #fastapi-in-containers-docker }
```

Do NOT translate with (German) – notice the hyphen:

```
# FastAPI in Containern - Docker { #fastapi-in-containers-docker }
```

In this example, there's a **Manager Process** that starts and controls two **Worker Processes**.

This Manager Process would probably be the one listening on the **port** in the IP. And it would transmit all the communication to the worker processes.

  // TODO(b/136478427): Figure out how to correctly shut the server down.
  worker_server.release();

  // Update the server def with a new set of names (worker instead of
  // localhost).
  tensorflow::ServerDef updated_server_def = GetServerDef("worker", 2);
  serialized = updated_server_def.SerializeAsString();

  updated_server_def.set_task_index(1);
  absl::Status s = tensorflow::GrpcServer::Create(