participant Client

    App->>App: Produce Item 1
    App->>Client: Send Item 1
    App->>App: Produce Item 2
    Client->>Client: Process Item 1
    App->>Client: Send Item 2
    App->>App: Produce Item 3
    Client->>Client: Process Item 2
    App->>Client: Send Item 3
    Client->>Client: Process Item 3
    Note over App: Keeps producing...
    Note over Client: Keeps consuming...
```

  // Process inputs.
  std::vector<tensorflow::OutputTensor> input_tensors;
  std::unordered_map<const Node*, std::vector<int>> input_nodes;
  status->status = tensorflow::ProcessInputs(fn_body, fn_name, ninputs, inputs,
                                             &input_tensors, &input_nodes);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  // Process outputs.

                                true);
            }

            final int totalCount = process(options);
            if (totalCount != 0) {
                logger.info("Processed {} thumbnail task(s).", totalCount);
            } else {
                logger.info("No thumbnail tasks to process.");
            }
            exitCode = 0;
        } catch (final ContainerNotAvailableException e) {

            try {
                duplicateHostService.store(entity);
            } catch (final Exception e) {
                logger.warn("Failed to process a request.", e);
                throwValidationErrorApi(messages -> messages.addErrorsCrudFailedToCreateCrudTable(GLOBAL, buildThrowableMessage(e)));
            }
            return entity;
        }).orElseGet(() -> {

@app.middleware("http")
async def add_process_time_header(request: Request, call_next):
    start_time = time.perf_counter()
    response = await call_next(request)
    process_time = time.perf_counter() - start_time
    response.headers["X-Process-Time"] = str(process_time)

    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/query-param-models/image01.png")

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["fastapi", "run", "docs_src/query_param_models/tutorial001.py"]
)
try:
    for _ in range(3):
        try:
            response = httpx.get("http://localhost:8000/docs")

logFile = File("/tmp/key.log"), tlsVersions = tlsVersions, launch = launch)`
 * 3. Register with `client.eventListenerFactory(eventListenerFactory)`
 * 4. Launch wireshark if not done externally `val process = eventListenerFactory.launchWireShark()`
 */
@SuppressSignatureCheck
class WireSharkListenerFactory(
  private val logFile: File,
  private val tlsVersions: List<TlsVersion>,
  private val launch: Launch? = null,

# ADR-0002 - Avoid using Java serialization

## Status

- ACCEPTED on 2023-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

            entity.setToken(accessTokenHelper.generateAccessToken());
            try {
                accessTokenService.store(entity);
            } catch (final Exception e) {
                logger.warn("Failed to process a request.", e);
                throwValidationErrorApi(messages -> messages.addErrorsCrudFailedToCreateCrudTable(GLOBAL, buildThrowableMessage(e)));
            }
            return entity;
        }).orElseGet(() -> {

            <option value="$PROJECT_DIR$/platforms/core-runtime/process-memory-services" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/process-services" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/process-services-api" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/process-services-base" />