/** `100 Continue` (HTTP/1.1 - RFC 7231)  */
const val HTTP_CONTINUE = 100

/** `101 Switching Protocols` (HTTP/1.1 - RFC 9110)  */
const val HTTP_SWITCHING_PROTOCOLS = 101

/** `102 Processing` (WebDAV - RFC 2518)  */
const val HTTP_PROCESSING = 102

/** `103 Early Hints (Early Hints - RFC 8297)` */
const val HTTP_EARLY_HINTS = 103

/** `307 Temporary Redirect` (HTTP/1.1 - RFC 7231)  */

 *
 * <p>Each result is linked to its originating {@link Request}, allowing for:
 * <ul>
 *   <li>Traceability between requests and their outcomes</li>
 *   <li>Access to the session context used during processing</li>
 *   <li>Correlation of results with their initiating parameters</li>
 * </ul>
 *
 * @param <REQ> the type of Request that produced this result, ensuring type-safe

 * and request tracing capabilities.
 *
 * <p>Each request is associated with a {@link ProtoSession} that contains the configuration
 * and context necessary for request processing, including:
 * <ul>
 *   <li>User and system properties for interpolation</li>
 *   <li>Session start time information</li>
 *   <li>Project directory structures</li>
 * </ul>
 *

    /**
     * Returns the list of results from all requests that were part of the batch operation.
     * Each result contains the original request, the response (if successful), and any error
     * that occurred during processing.
     *
     * @return An unmodifiable list of request results
     */
    public List<RequestResult<?, ?>> getResults() {
        return results;
    }

    private int id;

    // Constructor
    ArtifactScopeEnum(int id) {
        this.id = id;
    }

    int getId() {
        return id;
    }

    /**
     * Helper method to simplify null processing
     *
     * @param scope a scope or {@code null}
     * @return the provided scope or DEFAULT_SCOPE
     */
    public static ArtifactScopeEnum checkScope(ArtifactScopeEnum scope) {

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.

  }

  /**
   * Process the next event. This will result in a single call to [Callback.onEvent] *unless* the
   * data section was empty. Any number of calls to [Callback.onRetryChange] may occur while
   * processing an event.
   *
   * @return false when EOF is reached
   */
  @Throws(IOException::class)
  fun processNextEvent(): Boolean {
    var id = lastId
    var type: String? = null
    val data = Buffer()

that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations...

Doing this, our `GzipRequest` will take care of decompressing the data (if necessary) before passing it to our *path operations*.

After that, all of the processing logic is the same.

But because of our changes in `GzipRequest.body`, the request body will be automatically decompressed when it is loaded by **FastAPI** when needed.

                if (edge == null) { // no edges - don't need this vertex anymore
                    if (entry.equals(v)) { // unless it's an entry point.
                        // currently processing the entry point - it should not have any entry incident edges
                        res.getEntry().getMd().setWhy("This is a graph entry point. No links.");
                    }
                } else {